From d189b3cb936a853e6d49292930941a162b23ece8 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Wed, 27 Feb 2019 22:27:09 +0530 Subject: [PATCH 01/12] A large commit diff --- notebooks/02.09-Structured-Data-NumPy.ipynb | 68 +- notebooks/03.00-Introduction-to-Pandas.ipynb | 14 +- .../03.01-Introducing-Pandas-Objects.ipynb | 542 +- .../03.02-Data-Indexing-and-Selection.ipynb | 144 +- notebooks/03.03-Operations-in-Pandas.ipynb | 97 +- notebooks/03.04-Missing-Values.ipynb | 108 +- notebooks/03.05-Hierarchical-Indexing.ipynb | 582 +- notebooks/05.14-Image-Features.ipynb | 107366 ++++++++++++++- notebooks/06.00-Figure-Code.ipynb | 840 +- notebooks/figures/02.05-broadcasting.png | Bin 17047 -> 16376 bytes .../figures/03.08-split-apply-combine.png | Bin 25523 -> 27769 bytes notebooks/figures/05.01-classification-1.png | Bin 14866 -> 15412 bytes notebooks/figures/05.01-classification-2.png | Bin 20613 -> 23514 bytes notebooks/figures/05.01-classification-3.png | Bin 24090 -> 26264 bytes notebooks/figures/05.01-clustering-1.png | Bin 11016 -> 11301 bytes notebooks/figures/05.01-clustering-2.png | Bin 24013 -> 25338 bytes notebooks/figures/05.01-dimesionality-1.png | Bin 13107 -> 11550 bytes notebooks/figures/05.01-dimesionality-2.png | Bin 31372 -> 28105 bytes notebooks/figures/05.01-regression-1.png | Bin 37974 -> 31013 bytes notebooks/figures/05.01-regression-2.png | Bin 55922 -> 48059 bytes notebooks/figures/05.01-regression-3.png | Bin 44108 -> 33285 bytes notebooks/figures/05.01-regression-4.png | Bin 36461 -> 37005 bytes notebooks/figures/05.02-samples-features.png | Bin 7712 -> 7980 bytes notebooks/figures/05.03-2-fold-CV.png | Bin 7816 -> 6681 bytes notebooks/figures/05.03-5-fold-CV.png | Bin 10421 -> 9616 bytes notebooks/figures/05.03-bias-variance-2.png | Bin 45340 -> 41056 bytes notebooks/figures/05.03-bias-variance.png | Bin 37019 -> 35371 bytes notebooks/figures/05.03-learning-curve.png | Bin 30231 -> 23869 bytes notebooks/figures/05.03-validation-curve.png | Bin 37170 -> 28739 bytes notebooks/figures/05.05-gaussian-NB.png | Bin 51406 -> 40311 bytes notebooks/figures/05.06-gaussian-basis.png | Bin 30865 -> 22761 bytes .../figures/05.08-decision-tree-levels.png | Bin 120901 -> 103121 bytes .../05.08-decision-tree-overfitting.png | Bin 49202 -> 49484 bytes notebooks/figures/05.08-decision-tree.png | Bin 34011 -> 36491 bytes notebooks/figures/05.09-PCA-rotation.png | Bin 30758 -> 37443 bytes .../figures/05.09-digits-pca-components.png | Bin 15015 -> 17275 bytes .../figures/05.09-digits-pixel-components.png | Bin 7378 -> 7923 bytes notebooks/figures/05.10-LLE-vs-MDS.png | Bin 159433 -> 233779 bytes .../05.11-expectation-maximization.png | Bin 155862 -> 170660 bytes notebooks/figures/05.12-covariance-type.png | Bin 61949 -> 57447 bytes 40 files changed, 108228 insertions(+), 1533 deletions(-) diff --git a/notebooks/02.09-Structured-Data-NumPy.ipynb b/notebooks/02.09-Structured-Data-NumPy.ipynb index 7b1f5222a..5785e4d91 100644 --- a/notebooks/02.09-Structured-Data-NumPy.ipynb +++ b/notebooks/02.09-Structured-Data-NumPy.ipynb @@ -55,9 +55,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "name = ['Alice', 'Bob', 'Cathy', 'Doug']\n", @@ -78,9 +76,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "x = np.zeros(4, dtype=int)" @@ -96,9 +92,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -128,9 +122,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -160,9 +152,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -184,9 +174,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -207,9 +195,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -237,9 +223,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -279,9 +263,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -309,9 +291,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -339,9 +319,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -368,9 +346,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -422,9 +398,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -467,9 +441,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -496,9 +468,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -526,9 +496,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -590,9 +558,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.00-Introduction-to-Pandas.ipynb b/notebooks/03.00-Introduction-to-Pandas.ipynb index 644a1bad0..d9429019b 100644 --- a/notebooks/03.00-Introduction-to-Pandas.ipynb +++ b/notebooks/03.00-Introduction-to-Pandas.ipynb @@ -60,14 +60,12 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'0.18.1'" + "'0.22.0'" ] }, "execution_count": 1, @@ -90,9 +88,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "import pandas as pd" @@ -154,9 +150,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.01-Introducing-Pandas-Objects.ipynb b/notebooks/03.01-Introducing-Pandas-Objects.ipynb index bdee556f5..140b06f25 100644 --- a/notebooks/03.01-Introducing-Pandas-Objects.ipynb +++ b/notebooks/03.01-Introducing-Pandas-Objects.ipynb @@ -39,10 +39,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -62,9 +60,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -97,9 +93,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -126,9 +120,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -155,9 +147,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -177,9 +167,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -226,9 +214,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -261,9 +247,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -290,9 +274,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -318,9 +300,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -353,9 +333,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -394,9 +372,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -423,9 +399,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -472,9 +446,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -504,9 +476,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -536,9 +506,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -568,9 +536,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -622,9 +588,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -659,9 +623,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -735,9 +697,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -764,9 +724,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -804,9 +762,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -859,9 +815,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -930,9 +884,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -994,9 +946,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1055,9 +1005,7 @@ { "cell_type": "code", "execution_count": 26, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1133,9 +1081,7 @@ { "cell_type": "code", "execution_count": 27, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1199,39 +1145,48 @@ }, { "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([(0, 0.0), (0, 0.0), (0, 0.0)], \n", + "array([(0, 0.), (0, 0.), (0, 0.), ..., (0, 0.), (0, 0.), (0, 0.)],\n", " dtype=[('A', '\n", + "\n", "\n", " \n", " \n", @@ -1256,18 +1211,369 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", "
00.0
300.0
400.0
500.0
600.0
700.0
800.0
900.0
1000.0
1100.0
1200.0
1300.0
1400.0
1500.0
1600.0
1700.0
1800.0
1900.0
2000.0
2100.0
2200.0
2300.0
2400.0
2500.0
2600.0
2700.0
2800.0
2900.0
.........
299997000.0
299997100.0
299997200.0
299997300.0
299997400.0
299997500.0
299997600.0
299997700.0
299997800.0
299997900.0
299998000.0
299998100.0
299998200.0
299998300.0
299998400.0
299998500.0
299998600.0
299998700.0
299998800.0
299998900.0
299999000.0
299999100.0
299999200.0
299999300.0
299999400.0
299999500.0
299999600.0
299999700.0
299999800.0
299999900.0
\n", + "

3000000 rows × 2 columns

\n", "" ], "text/plain": [ - " A B\n", - "0 0 0.0\n", - "1 0 0.0\n", - "2 0 0.0" + " A B\n", + "0 0 0.0\n", + "1 0 0.0\n", + "2 0 0.0\n", + "3 0 0.0\n", + "4 0 0.0\n", + "5 0 0.0\n", + "6 0 0.0\n", + "7 0 0.0\n", + "8 0 0.0\n", + "9 0 0.0\n", + "10 0 0.0\n", + "11 0 0.0\n", + "12 0 0.0\n", + "13 0 0.0\n", + "14 0 0.0\n", + "15 0 0.0\n", + "16 0 0.0\n", + "17 0 0.0\n", + "18 0 0.0\n", + "19 0 0.0\n", + "20 0 0.0\n", + "21 0 0.0\n", + "22 0 0.0\n", + "23 0 0.0\n", + "24 0 0.0\n", + "25 0 0.0\n", + "26 0 0.0\n", + "27 0 0.0\n", + "28 0 0.0\n", + "29 0 0.0\n", + "... .. ...\n", + "2999970 0 0.0\n", + "2999971 0 0.0\n", + "2999972 0 0.0\n", + "2999973 0 0.0\n", + "2999974 0 0.0\n", + "2999975 0 0.0\n", + "2999976 0 0.0\n", + "2999977 0 0.0\n", + "2999978 0 0.0\n", + "2999979 0 0.0\n", + "2999980 0 0.0\n", + "2999981 0 0.0\n", + "2999982 0 0.0\n", + "2999983 0 0.0\n", + "2999984 0 0.0\n", + "2999985 0 0.0\n", + "2999986 0 0.0\n", + "2999987 0 0.0\n", + "2999988 0 0.0\n", + "2999989 0 0.0\n", + "2999990 0 0.0\n", + "2999991 0 0.0\n", + "2999992 0 0.0\n", + "2999993 0 0.0\n", + "2999994 0 0.0\n", + "2999995 0 0.0\n", + "2999996 0 0.0\n", + "2999997 0 0.0\n", + "2999998 0 0.0\n", + "2999999 0 0.0\n", + "\n", + "[3000000 rows x 2 columns]" ] }, - "execution_count": 29, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -1291,9 +1597,7 @@ { "cell_type": "code", "execution_count": 30, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1324,9 +1628,7 @@ { "cell_type": "code", "execution_count": 31, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1346,9 +1648,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1375,9 +1675,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1401,9 +1699,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "TypeError", @@ -1442,9 +1738,7 @@ { "cell_type": "code", "execution_count": 35, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "indA = pd.Index([1, 3, 5, 7, 9])\n", @@ -1454,9 +1748,7 @@ { "cell_type": "code", "execution_count": 36, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1476,9 +1768,7 @@ { "cell_type": "code", "execution_count": 37, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1498,9 +1788,7 @@ { "cell_type": "code", "execution_count": 38, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1550,9 +1838,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.02-Data-Indexing-and-Selection.ipynb b/notebooks/03.02-Data-Indexing-and-Selection.ipynb index 7707be226..90a177199 100644 --- a/notebooks/03.02-Data-Indexing-and-Selection.ipynb +++ b/notebooks/03.02-Data-Indexing-and-Selection.ipynb @@ -60,9 +60,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -89,9 +87,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -118,9 +114,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -140,9 +134,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -162,9 +154,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -192,9 +182,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -242,9 +230,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -268,9 +254,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -293,9 +277,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -318,9 +300,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -361,9 +341,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -387,9 +365,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -410,9 +386,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -445,9 +419,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -467,9 +439,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -498,9 +468,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -520,9 +488,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -575,9 +541,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -656,9 +620,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -690,9 +652,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -724,9 +684,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -755,9 +713,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -786,9 +742,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -877,9 +831,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -911,9 +863,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -986,9 +936,7 @@ { "cell_type": "code", "execution_count": 26, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1015,9 +963,7 @@ { "cell_type": "code", "execution_count": 27, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1053,9 +999,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1115,9 +1059,7 @@ { "cell_type": "code", "execution_count": 29, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1179,9 +1121,7 @@ { "cell_type": "code", "execution_count": 30, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1244,9 +1184,7 @@ { "cell_type": "code", "execution_count": 31, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1300,9 +1238,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1391,9 +1327,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1450,9 +1384,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1509,9 +1441,7 @@ { "cell_type": "code", "execution_count": 35, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1591,9 +1521,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.03-Operations-in-Pandas.ipynb b/notebooks/03.03-Operations-in-Pandas.ipynb index ac4b1eb37..4be291faf 100644 --- a/notebooks/03.03-Operations-in-Pandas.ipynb +++ b/notebooks/03.03-Operations-in-Pandas.ipynb @@ -51,9 +51,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", @@ -63,9 +61,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -91,14 +87,25 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", + "\n", "\n", " \n", " \n", @@ -163,9 +170,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -196,9 +201,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -285,9 +288,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "area = pd.Series({'Alaska': 1723337, 'Texas': 695662,\n", @@ -306,9 +307,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -339,9 +338,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -369,9 +366,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -405,9 +400,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -440,9 +433,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -491,9 +482,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -552,9 +541,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -620,9 +607,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -708,9 +693,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -733,9 +716,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -766,9 +747,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -837,9 +816,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -907,9 +884,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -932,9 +907,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1025,9 +998,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.04-Missing-Values.ipynb b/notebooks/03.04-Missing-Values.ipynb index 6cbef56f9..420114184 100644 --- a/notebooks/03.04-Missing-Values.ipynb +++ b/notebooks/03.04-Missing-Values.ipynb @@ -101,9 +101,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -132,9 +130,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -166,9 +162,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "TypeError", @@ -206,9 +200,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -238,9 +230,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -260,9 +250,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -289,9 +277,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -318,9 +304,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -356,9 +340,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -390,9 +372,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -415,9 +395,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -499,9 +477,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -532,9 +508,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -574,9 +548,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -606,9 +578,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -678,9 +648,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -730,9 +698,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -792,9 +758,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -856,9 +820,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -922,9 +884,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -989,9 +949,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1024,9 +982,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1058,9 +1014,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1093,9 +1047,7 @@ { "cell_type": "code", "execution_count": 26, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1130,9 +1082,7 @@ { "cell_type": "code", "execution_count": 27, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1193,9 +1143,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1286,9 +1234,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/03.05-Hierarchical-Indexing.ipynb b/notebooks/03.05-Hierarchical-Indexing.ipynb index 43e3475c4..9dc32bdef 100644 --- a/notebooks/03.05-Hierarchical-Indexing.ipynb +++ b/notebooks/03.05-Hierarchical-Indexing.ipynb @@ -2,10 +2,7 @@ "cells": [ { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "\n", @@ -16,10 +13,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "< [Handling Missing Data](03.04-Missing-Values.ipynb) | [Contents](Index.ipynb) | [Combining Datasets: Concat and Append](03.06-Concat-And-Append.ipynb) >" @@ -34,10 +28,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Up to this point we've been focused primarily on one-dimensional and two-dimensional data, stored in Pandas ``Series`` and ``DataFrame`` objects, respectively.\n", "Often it is useful to go beyond this and store higher-dimensional data–that is, data indexed by more than one or two keys.\n", @@ -53,9 +44,7 @@ "cell_type": "code", "execution_count": 1, "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "outputs": [], "source": [ @@ -65,10 +54,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## A Multiply Indexed Series\n", "\n", @@ -78,10 +64,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### The bad way\n", "\n", @@ -92,11 +75,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -128,10 +107,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "With this indexing scheme, you can straightforwardly index or slice the series based on this multiple index:" ] @@ -139,11 +115,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -166,10 +138,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "But the convenience ends there. For example, if you need to select all values from 2010, you'll need to do some messy (and potentially slow) munging to make it happen:" ] @@ -177,11 +146,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -203,20 +168,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "This produces the desired result, but is not as clean (or as efficient for large datasets) as the slicing syntax we've grown to love in Pandas." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### The Better Way: Pandas MultiIndex\n", "Fortunately, Pandas provides a better way.\n", @@ -227,11 +186,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -252,10 +207,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Notice that the ``MultiIndex`` contains multiple *levels* of indexing–in this case, the state names and the years, as well as multiple *labels* for each data point which encode these levels.\n", "\n", @@ -265,11 +217,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -295,10 +243,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Here the first two columns of the ``Series`` representation show the multiple index values, while the third column shows the data.\n", "Notice that some entries are missing in the first column: in this multi-index representation, any blank entry indicates the same value as the line above it." @@ -306,10 +251,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Now to access all data for which the second index is 2010, we can simply use the Pandas slicing notation:" ] @@ -317,11 +259,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -343,10 +281,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "The result is a singly indexed array with just the keys we're interested in.\n", "This syntax is much more convenient (and the operation is much more efficient!) than the home-spun tuple-based multi-indexing solution that we started with.\n", @@ -355,10 +290,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### MultiIndex as extra dimension\n", "\n", @@ -369,11 +301,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -426,10 +354,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Naturally, the ``stack()`` method provides the opposite operation:" ] @@ -437,11 +362,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -466,10 +387,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Seeing this, you might wonder why would we would bother with hierarchical indexing at all.\n", "The reason is simple: just as we were able to use multi-indexing to represent two-dimensional data within a one-dimensional ``Series``, we can also use it to represent data of three or more dimensions in a ``Series`` or ``DataFrame``.\n", @@ -479,11 +397,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -561,10 +475,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "In addition, all the ufuncs and other functionality discussed in [Operating on Data in Pandas](03.03-Operations-in-Pandas.ipynb) work with hierarchical indices as well.\n", "Here we compute the fraction of people under 18 by year, given the above data:" @@ -573,11 +484,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -630,20 +537,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "This allows us to easily and quickly manipulate and explore even high-dimensional data." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Methods of MultiIndex Creation\n", "\n", @@ -653,11 +554,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -721,10 +618,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "The work of creating the ``MultiIndex`` is done in the background.\n", "\n", @@ -734,11 +628,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -769,20 +659,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Nevertheless, it is sometimes useful to explicitly create a ``MultiIndex``; we'll see a couple of these methods here." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Explicit MultiIndex constructors\n", "\n", @@ -793,11 +677,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -817,10 +697,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "You can construct it from a list of tuples giving the multiple index values of each point:" ] @@ -828,11 +705,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -852,10 +725,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "You can even construct it from a Cartesian product of single indices:" ] @@ -863,11 +733,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -887,10 +753,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Similarly, you can construct the ``MultiIndex`` directly using its internal encoding by passing ``levels`` (a list of lists containing available index values for each level) and ``labels`` (a list of lists that reference these labels):" ] @@ -898,11 +761,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -923,20 +782,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Any of these objects can be passed as the ``index`` argument when creating a ``Series`` or ``Dataframe``, or be passed to the ``reindex`` method of an existing ``Series`` or ``DataFrame``." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### MultiIndex level names\n", "\n", @@ -947,11 +800,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -978,20 +827,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "With more involved datasets, this can be a useful way to keep track of the meaning of various index values." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### MultiIndex for columns\n", "\n", @@ -1002,11 +845,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1119,10 +958,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Here we see where the multi-indexing for both rows and columns can come in *very* handy.\n", "This is fundamentally four-dimensional data, where the dimensions are the subject, the measurement type, the year, and the visit number.\n", @@ -1132,11 +968,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1204,20 +1036,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "For complicated records containing multiple labeled measurements across multiple times for many subjects (people, countries, cities, etc.) use of hierarchical rows and columns can be extremely convenient!" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Indexing and Slicing a MultiIndex\n", "\n", @@ -1227,10 +1053,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Multiply indexed Series\n", "\n", @@ -1240,11 +1063,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1270,10 +1089,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "We can access single elements by indexing with multiple terms:" ] @@ -1281,11 +1097,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1304,10 +1116,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "The ``MultiIndex`` also supports *partial indexing*, or indexing just one of the levels in the index.\n", "The result is another ``Series``, with the lower-level indices maintained:" @@ -1316,11 +1125,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1342,10 +1147,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Partial slicing is available as well, as long as the ``MultiIndex`` is sorted (see discussion in [Sorted and Unsorted Indices](#Sorted-and-unsorted-indices)):" ] @@ -1353,11 +1155,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1381,10 +1179,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "With sorted indices, partial indexing can be performed on lower levels by passing an empty slice in the first index:" ] @@ -1392,11 +1187,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1419,10 +1210,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Other types of indexing and selection (discussed in [Data Indexing and Selection](03.02-Data-Indexing-and-Selection.ipynb)) work as well; for example, selection based on Boolean masks:" ] @@ -1430,11 +1218,7 @@ { "cell_type": "code", "execution_count": 26, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1457,10 +1241,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Selection based on fancy indexing also works:" ] @@ -1468,11 +1249,7 @@ { "cell_type": "code", "execution_count": 27, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1496,10 +1273,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Multiply indexed DataFrames\n", "\n", @@ -1510,11 +1284,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1614,10 +1384,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Remember that columns are primary in a ``DataFrame``, and the syntax used for multiply indexed ``Series`` applies to the columns.\n", "For example, we can recover Guido's heart rate data with a simple operation:" @@ -1626,11 +1393,7 @@ { "cell_type": "code", "execution_count": 29, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1654,10 +1417,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Also, as with the single-index case, we can use the ``loc``, ``iloc``, and ``ix`` indexers introduced in [Data Indexing and Selection](03.02-Data-Indexing-and-Selection.ipynb). For example:" ] @@ -1665,11 +1425,7 @@ { "cell_type": "code", "execution_count": 30, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1730,10 +1486,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "These indexers provide an array-like view of the underlying two-dimensional data, but each individual index in ``loc`` or ``iloc`` can be passed a tuple of multiple indices. For example:" ] @@ -1741,11 +1494,7 @@ { "cell_type": "code", "execution_count": 31, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1769,10 +1518,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Working with slices within these index tuples is not especially convenient; trying to create a slice within a tuple will lead to a syntax error:" ] @@ -1780,11 +1526,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "ename": "SyntaxError", @@ -1801,10 +1543,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "You could get around this by building the desired slice explicitly using Python's built-in ``slice()`` function, but a better way in this context is to use an ``IndexSlice`` object, which Pandas provides for precisely this situation.\n", "For example:" @@ -1813,11 +1552,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1886,20 +1621,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "There are so many ways to interact with data in multiply indexed ``Series`` and ``DataFrame``s, and as with many tools in this book the best way to become familiar with them is to try them out!" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Rearranging Multi-Indices\n", "\n", @@ -1910,10 +1639,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Sorted and unsorted indices\n", "\n", @@ -1927,11 +1653,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -1960,10 +1682,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "If we try to take a partial slice of this index, it will result in an error:" ] @@ -1971,11 +1690,7 @@ { "cell_type": "code", "execution_count": 35, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1996,10 +1711,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Although it is not entirely clear from the error message, this is the result of the MultiIndex not being sorted.\n", "For various reasons, partial slices and other similar operations require the levels in the ``MultiIndex`` to be in sorted (i.e., lexographical) order.\n", @@ -2010,11 +1722,7 @@ { "cell_type": "code", "execution_count": 36, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2041,10 +1749,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "With the index sorted in this way, partial slicing will work as expected:" ] @@ -2052,11 +1757,7 @@ { "cell_type": "code", "execution_count": 37, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2080,10 +1781,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Stacking and unstacking indices\n", "\n", @@ -2093,11 +1791,7 @@ { "cell_type": "code", "execution_count": 38, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2154,11 +1848,7 @@ { "cell_type": "code", "execution_count": 39, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2216,10 +1906,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "The opposite of ``unstack()`` is ``stack()``, which here can be used to recover the original series:" ] @@ -2227,11 +1914,7 @@ { "cell_type": "code", "execution_count": 40, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2257,10 +1940,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Index setting and resetting\n", "\n", @@ -2272,11 +1952,7 @@ { "cell_type": "code", "execution_count": 41, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2354,10 +2030,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Often when working with data in the real world, the raw input data looks like this and it's useful to build a ``MultiIndex`` from the column values.\n", "This can be done with the ``set_index`` method of the ``DataFrame``, which returns a multiply indexed ``DataFrame``:" @@ -2366,11 +2039,7 @@ { "cell_type": "code", "execution_count": 42, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2443,20 +2112,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "In practice, I find this type of reindexing to be one of the more useful patterns when encountering real-world datasets." ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Data Aggregations on Multi-Indices\n", "\n", @@ -2469,11 +2132,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2573,10 +2232,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Perhaps we'd like to average-out the measurements in the two visits each year. We can do this by naming the index level we'd like to explore, in this case the year:" ] @@ -2584,11 +2240,7 @@ { "cell_type": "code", "execution_count": 44, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2664,10 +2316,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "By further making use of the ``axis`` keyword, we can take the mean among levels on the columns as well:" ] @@ -2675,11 +2324,7 @@ { "cell_type": "code", "execution_count": 45, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -2731,10 +2376,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Thus in two lines, we've been able to find the average heart rate and temperature measured among all subjects in all visits each year.\n", "This syntax is actually a short cut to the ``GroupBy`` functionality, which we will discuss in [Aggregation and Grouping](03.08-Aggregation-and-Grouping.ipynb).\n", @@ -2743,10 +2385,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Aside: Panel Data\n", "\n", @@ -2764,10 +2403,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "< [Handling Missing Data](03.04-Missing-Values.ipynb) | [Contents](Index.ipynb) | [Combining Datasets: Concat and Append](03.06-Concat-And-Append.ipynb) >" @@ -2791,9 +2427,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/05.14-Image-Features.ipynb b/notebooks/05.14-Image-Features.ipynb index b745b3079..4652d6559 100644 --- a/notebooks/05.14-Image-Features.ipynb +++ b/notebooks/05.14-Image-Features.ipynb @@ -47,9 +47,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -78,16 +76,22 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/skimage/feature/_hog.py:119: skimage_deprecation: Default value of `block_norm`==`L1` is deprecated and will be changed to `L2-Hys` in v0.15\n", + " 'be changed to `L2-Hys` in v0.15', skimage_deprecation)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqsAAADlCAYAAAB01r7EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIxrRiEY0oq8t/X+gMq/LscTgkgAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqsAAADmCAYAAADyQsxqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzsvXmYHNlZ5vvLiMzIfanMqqxFtUhqtUJqyb1JdrvxgtvY2BgbD9wxMMYGsw77wzYLw2YMd5jhMnjYPBiuWa89MBcMNgzmYjfuvd19291uqRdFt1oqSbVXZeW+R2TOH5HfqZOp6s02Y5vOV4+eyow8EWeJE3He8533+06g3+8zxhhjjDHGGGOMMcYYX44wvtQFGGOMMcYYY4wxxhhjjGfDmKyOMcYYY4wxxhhjjPFlizFZHWOMMcYYY4wxxhjjyxZjsjrGGGOMMcYYY4wxxpctxmR1jDHGGGOMMcYYY4wvW4zJ6hhjjDHGGGOMMcYYX7YIfqkLMMaXFrZtnwb+veM4//Kf4NovB77bcZzv3+e3vwN+ynGcJ77Y+Y4xxhhjfD74p3of2rb9OuC3Hcc5adv2+4DzjuP8yedxnTTwV47jvH7w/XPA6xzHKX0xy7tPvj8D/GvgU47jfJd2/CDwmOM4iZH07wUmHcf54cH3w8B/BF4O1IA28LuO4/yBdk4Q+DHgXUAIiAGPAv/OcRxnnzItAJ8AXOAHHMe5//Oo1/cAluM4H3ix547xvxdjsvoSh+M4DwFfdKI6wAlg/lnyfcs/UZ5jjDHGGJ8X/onfh5LHz38Bp08Ar9CudeMXXqIXhO8G3uk4zj0v9sQBob0T+FngXzmO07dt+wDwYdu2r3Uc56cHSf8EiAJf4zhOYXDuO4Hbbds+5jhObeTStwEbjuO84fOrEgCvBh77As4f438TxmT1JY6RGf8fARXgZcACcAb4dsdxarZtu8B/Ar4OiAP/wXGcj9q2/R7gXzqO89bB9d6D/7L/AeB9QNq27T90HOc7R/JdHqRLAL8CXAZsoD7I50cH3//ScZwft23bAN4PvBJIAgHgexzHude27SngD4FrgAKwgT/bf69t28eB3wBygAn8pj6bH2OMMV56sG37I8BnHcf5L4PvPwC8Dvhv7L0PXw38Ov57ow/8iuM4fzl4Tz7mOM6vDc5V323bfivwHwALyAN/7DjOz43k/Uf4BOlu4IPaT4vA447jvMa27e/Ct2RaQBb4T47j/Df891x0YFE9hW9VnHIcZ8e27Z8D/tXg2FPADzuOs2Hb9h3A/cCrBnl8Cvg+x3F6I+WaH9T/IP779Y8dx/m/bNv+c3yjw4ds2/55x3H+/EU2908DH3Ec54/lgOM4q7Ztfwtw0bbt3wTmgK8BDjmO09DSfcS27SyQwrfISllvA34Zf3z5tOM4t9m2/TZ8QmwBDfyVu/tt254etPM0MANcAr550B7fALzRtu0mMMWwNfi98n3QhrvAsUEb/Qn+uPIyfCvw7cC/cRzHtW37F4FvBDr449F7HMdZf5FtNsYIxprVMUZxCngzcBz/pfWOwXETaDiOcwr/Qf+DAUncF47jXAF+Hrh7lKjug5fjv4xvxCfLPw18PXAz8EO2bc8Bt+C/0G51HOc64I+Bfz84/zfxX/LHB+X9KlDLSn+Bv6x3Cvhq4Kds237lC2yLMcYY458nfh94j/b9PYNjOn4R+PXBu+O7gNc/1wVt2w4APwl8h+M4p/En1j9t2/bkfukdx3nAcZwbB++978UnY99r23Zi8P0tjuPcBHwL8KuD074TaA7O87S8vxPfkPByx3GuxyfDf6Rldw0+Gb9+kO6r9ynSh4FPO47zMnwi9y7btr/VcZxvAdaAb3sWohq1bftz+n9Al359FXDXPvXfBJ4ctNNrgHt0oqql+23HcdZGjn2avfHlNtu2r8WXGUibfR/wUdu248C3Avc7jnMrcBifyL7bcZy/Aj4OvN9xnN/Zp16jKDqOc53jOL+Fbzj57KBv3ARMAj8xkCb8GP59OA38A/7YNcYXiLFldYxR/L3jOG0A27bP4s/qBb8N4DjOmcFvr/0i5XnRcZxHBp+fAcqO43SAHdu2K0B2MEP+WeBf27YtL97q4Jy34BNbHMdZt237LwbHj+K/pP/Atm3JK4r/cvnMF6nsY4wxxlce7gAiA41qA9+qdjvDJO5/AL8zsNh9Ct9i+qwYLG+/DXjrYPn6OL6FMv5c59m2fQT4KPAux3HODY69Ffj6AQm7EX8F6rnwdcAfOo5TH3z/DeBnbNu2Bt//ZmBJrdi2fZ7h9zoDUvcq4GsHdSkPLMBfB/zZ8+TdHJUjiFVSOxR6lnPD+FbrwOCvnG8DQozTwK8OLMvPhjcCs/iSATnWA444jvMbtm2/xrbtnwCuBU4CDzxPnfbD3drntwKvsG37uwffo4O/v4avs33Ytu1PAJ9wHOf2zyOvMUYwtqyOMYqm9lleIgJX+2wA3j5pLF482iPfu6MJbNv+euB/Dr5+DPhdLV93pAxicTDxie+NmgXjlfhLaWOMMcZLFI7j9IEPAd+Ob6380OCYnuaD+Mu8nwTeBJyxbTvCs7zzBoTvEfyJ88PAv8F/l+lph2Dbdh7fSejfO45z5+DYPPA5YAm4B39p+/kgUgWBgW+Mkryf670u6fc79mwk88XgXnzjwhAGutVDwIPAfcBX2bYdAnB8yDv7Tp6H8OPX//Z93vWP2bb9n/EladvA7+FbO/e7J883lumaWRN4h5bXLfiyix7+hOc9+BKA99u2/auM8QVjTFbHeDH4dgDbtm/G1+7cif8COGnbdmTwotGdE1y+OC878GfOfzOYXT8E/Av8Fwb4JPa7B2XL4euF+oADNG3bftfgtwX85bFTX6QyjTHGGF+5+CN8zeI72GcCa9v2fcBNjuP8Ef6ycgZf87gNnB6kmWPPGnstvrbyZx3H+Rt8ghZm7z01ev0E/rvrQ47jfFj76fQgj1/GJ1biD2Div1PNgeRAx98D3zUgzOBr/u+SVbLng+M4VfzVph8a5JXGf99/8oWc/zz4P4Fvtm37O+TAgJD/d+ADjuOsOY7zAPBp4E912YRt29fhW5Y9nhu3A19r2/axwXlvwfe5iOJPNP6r4zh/CmzhjyVyT/Qxahs4Zdt2wLbtJIN2fxb8f8CPD9KG8eUEP2zb9g34Y8yTjuP8Cr5c4OXPU/YxXgDGZHWMF4NX2bb9MPAHwLc4jlPEf5neCZzD1yU9pKX/DHDYtu2PfhHy/l3gdQP5wcP4coFDA8erHweODX77S3wBfWMgJXg78D22bZ8ZlPXnHMe594tQnjHGGOMrGI7jbOC/S86MaiIH+LfA+2zbfgRfNvCLjuMsA78FzNq27eCT3H8cpD8D/C1wzrbtJ4G3AU8AR56lCD8C3AB8o23bj2h6z38AVvAn20/iO0VtD66zjm+JfHwwMRd8CF+q8OAg75uBb3txLcK3AV8zeI8+iC9N+KMXeY2rMPBfuBV4g23bjm3bj+Ovjn0Yv40F78a3wv7doD0u4VtCP8BAgvYceTyBP6H4M9u2HwV+CfiGQQSB9wG/NhgDPo5vrZZ78gng+23b/ulBebaBp/Hv453PkeWP4lt7z+Lf97P4UoVH8eUjD9m2/RC+1vknnqeJxngBCPT7/edPNcZLHrZt9xl4nX6pyzIK27Z/EHhkoGsN42uLfsFxnE98iYs2xhhjjDHGGGN8gRg7WI3xzwFPAL81WCazgP93TFTHGGOMMcYY458HxpbVMcYYY4wxxhhjjDG+bDHWrI4xxhhjjDHGGGOM8WWLMVkdY4wxxhhjjDHGGOPLFs+pWf3TP/3TvucNR4wIBoMYhkEgEMA0TQzD57v6Z/33QGAvwoZ87nb9MJr9fh/Xdel0OgBMTExgGAatVot2u0273cbzPPXX8zxarRau6+J5Ht1ul1gsRigUYnNzc6gspmnS6/XodDqUSiXq9TqxWIxut4tlWdx6663E43Gi0SiGYdDtdmm1WgQCAYLBIKFQiFgsBkClUsEwDNrttqpDr9cjFArhui7NZhPLspiZmWFzc5O77rqLdDrNsWPHiEaj9Pt9crkcnudRr9ep1+uEw2F6vR7RaBTP83Bdl3A4jGmaBINBarUa4XCYjY0Ntra2OHjwoGqrdrtNs9mkUqlQq9XodrtUq1VSqRQ33HADy8vLLC4u0mw2cRyHy5cvEw6HSSQSLC4u0ul0qNfrzM3N4TgOJ0+e5Pz588zPz9NutykUCrTbbebm5mg0GnieRywWI5VK0Wg0sCyLVqtFuVxmamqKaDSKaZosLy9z4403Eg6HyWaz6l4Vi0UmJibY3NzkypUr9Ho9nn76adbW1ggEAszOznLy5EmOHz9Os9lkcXGRfr9Pt9vl0qVLPPPMM8Tjcc6ePUupVGJra4tQKIRlWUQiEW6++WaKxSLFYhHTNDlx4gSdTodiscjOju8Pls1mSSQSxGIx9bnZbNJsNkmlUkQiESKRCJ1Oh3g8TjAYpNfrUalUcF1X9cFqtUq/38c0TSKRCIlEAsuysCyLVCqF53mUy2W63S7RaJRer6faLBgM4rouvV5PPS/yrASDQSzLUn04GAximiahUAjDMAgG/UdVnkepf7/fp9Vq0Wq18DyPTqdDv99H5D1Sbrm2YRh4nkev16Pb7dLr9YbylP7abrep1+vqWv1+X53ned5QHpZlqeet1WpRrVZxHIfd3V3W19fpdru4rksgEMB1XdW20g79fl89V/r7xjAMer2hHSHVs6f/LudKeQzDUJ/Pnz//rDEu/znCDM2NdV1jjDHGVyy87tq+7+zntKxGIhE1yMrgCT7pDAQCaqCT/4JAIKC+y0Ckkzw5LsSr0WjQ6XTUoNvtdofIWLlcptFoqEFbH+ibzSbVqr+RUaPRGBoAhYzG43FCoRCtVoupqSmCwSBPPfUUOzs7NJtNDMMgl8uxsLDA/Pw80WiUQCBAOBzGsixCIT8MWyqVUuTEMAzC4TCZTIZoNIrrupRKJTKZDG94wxs4cuQIrVZLkVoh2qZpKoIr9RQS0Gq12NnZUfXodDp4nodpmop0raysUCqVFOHf2NhQA7yQsVgsRr1ep1gs8tRTT1EoFLh48SILCwsYhkGtVmN2dpZ7772XqakpisUiJ0+exDAMUqmUIt4nTpwgFovRarWYmZkhFovxspe9jKNHj6r7cuzYMW666Sbuu+8+dnZ2FNGPRCLE43GmpqY4ePAgzWaTWq3GxMQE+XyeRqOhyKEQrzNnzrCysqL6Ra/XI5lMcvPNNzM7O8v09DRTU1NUq1WazSadTodKpUKz2SQSiSgiVSqVhurieR4rKyusrq7SarWG+tba2hrnzp3j7NmzLC8vUygU1PXBn1h5nkcymWRycpK5uTkOHTrEgQMHmJqaIpVKAShyLNdtt9vqu64Ll0lQNBolEokQCATUZEVIoDwfMkHrdrt0Oh3VZ9rtNq7r0u/3Vf9NpVKkUik1edMnX0IkhWTLMyRkHyAcDqvJXK1WU+cCimD3+31FMqXPGoZBLBYjHA7TbDYVQV1bW2N7exvX9feRkGdWJ81SfyHsQtrlv5Rd/y/vACHv+rspFAoNTabluR3DhxEwCJl79gm5v6YxHAZU7oURMDACxlCaXCx11XWPThwYuh7AQmqKdOTqOO6ZSEKVRf5OJybIxVLq/Hw8M/RXx8/MvW7oe8zy+2/Cil6VdjKWHsprPjlJJpIgHLRUXrfmj+17fjoS52R2iYXUlKq7lCcbTV6V13RiYui3kBnklimbmyavUflHQ2EAbsgdGvoeCASIhsL8fv71JMO+gSQc9OPR/9u5q3dFlfOkPAkrSi6W4r1zt7GYyl9VD7184aBFMhzj7NKNnJo8MpTmJ/bJ62B6eigvadOf2iftofSMKo/k9Suzt3F66lrVb+R+ncwuXXX+W2dvZi65F41LPs8mslelfcXU0aHrvWHmek5ml4iGwlf1a7knUq6QGSQZjjGdmBjqh7B//5Z7Is9ONBTGNExCZlDlNXod/XjMijAZS6vrSDkkrQ45T/6GzCCWGVL9Yb+0cl0jYKi+JGWVNtjv+RjNS9LeMmVflVaw37tCf6c8H0bT6u+M58NzklUZCMRyImRVt6rIX93aId8lnQz48h8YGnzEQiLpAoEAlmXhuq6yysig3e12h6y4Qmok72AwiOd56ro62ZTBMJ1OKyKhW211i2o4HFYvbdM0FXGNRCKKEEhDp1Ipksmksnim02mmp6fVgCpWr0gkQqVSodVqUSqVFHEFn2g3Gg3q9boiI61WS5Wp2WwSCoWo1Wo0m01M01TXNAxDkY9isUi/32d3d5disUij0aDdbhOPxzFNU1l1O50Oc3NzJJNJgsGgsvRWq1UOHjxIOBxWaYUEPfzww4TDYcrlMul0mkwmo9pyaWmJY8eOkUqllKXc8zwqlYqaFNTrdaLRKOVymcXFRdrttiKm29vbVKtV4vG4IpT1uuwc6PezcDhMt9slEonQ7/eJxWIkEglFeBIJfyCsVCo0Gg0qlQqxWIxAIKCsyTJREGIo9+LSpUusra0poiqrAkL0wuEwkUhkaLVASKbez2WyJH1ct1wahkEoFCIUCqkJlRBAuZbce+n7MoGT+9hsNmk0Gqrvy+ROJjVCOuW/bnXUVymkLIZhkMlkVP9ttVrqWZFnVPqgEEL5K5MSqW+v11PXEAvv6HMu/0dXZYRwymdJM0pYpczyrEs6eVeN/vZSxGIqz8H0NCEzqAYHIapBw1SDpBgSjH0GDCNgEA7ukX2v52EaJhkrrgZH8AfBpOlP7pVlO2AQDJhMRzOK3IBPLBKhCOGghSnGDPpYRhDLCBIYbB5UaFaZT04SNMyhwfHGycO8quURMoPquGUEWUhNMRFJDJHjXCzFVCQ1IBZ+XpuNEkeSs1jmXl4XGpv8H7MvJxOOD51fbTeZCiWJmWF1rNxusJjKEzZDQ4NuJpIgZyWxJ+b3jDL9PkkzTC4YJzYgl71+n2w0SS6YIBNJ4A3GrWw0yXQsww2BKomQT77cnkfCinKgZw6R9mgoTCwUxp6Yp+35BosefeaiWU61PLabZZU2GY6RsmLYE/O0XP+dHAmGmI/nWHgznCkuA1DrtMjFUhz2zCGymI7EmQglOJieptxuDO5NhXw8Q75vqokH+IRyIZJjPjm5N8nteUx4AY6GcrTdvU0JpxMTHAz7aQWnJo/wKtKYA8IFsFkvcTA9zYQ1fG/fPXcrP8ABn2wO7uMjlWW+07qGoNZfJiIJZhNZrk3McSQzp+4DQNKKEjP3+gaAZYZIhWJDxM40TCwzSDho4fa8vXpFEkN5pcIxJmNppuJpJmNpJgZtI/3bTswRNv3n6Vh6njfMXE8qPJzXLVM2r5yyMQJ7K0PpcJzF5BQJK6ImKeCTvpARJBdLqXur6hCOqf5tBALErAipcGzouRXohNkYEN2YMUyOo6Ew0VCYbDSp2jActAgHLXLRlKqXnk6f0EVDYUXYI4PrCgnPRVP7ThD2g/ne9773WX985pln3isvfiEE+oCgW0x1hqxbVWXA0smr/CYDpgzM+uBmmqY6Jla0ZrOpBl15OZZKpSF5gQz6QhSz2SzRaJRarUa/32diYoJUKoXruuzs7JBKpa5aZk0mk8oCJEuisnwqg6XneWrJVIiiWJvBt1TF43HVVoVCAdM0FdFoNBpDJLrf71Or1YjH42xtbVEul2m322xsbGAYBo1GA9M0lXU2kUjgeR7ZbHbIYnbx4kVFei9cuEAwGOTw4cOkUimCwSCrq6tkMhmWl5e5/vrr1b168skniUajSgZw9OhRbr/9duLxOMeOHeMf/uEfiMVi5PN5yuUy0WiUqakp7r33XjKZDAcOHODgwYNKkjA7O4tpmjz55JPs7Oxw7ty5IXL52c9+VpGvbrfL7u4uc3NzSopgWRbb29t0Oh12d3eJRqNUq1VqtRqe53HjjTeSzWYVySkWi5w+fZpUKsXKygqVSoVoNIplWdTrdc6ePUulUlHkXEiX67pUKhUuXLigrMXtdptcLke321X3NJFIEAwG2dzcpNVqDfVDuZZY0YWoyblCTMWCLJMzmbjJtTqdDr1eT5HWdrutrKoiqajX64oUi6W40WioyY08k+FwWBFsy7JUPjI5aLVaWJalSKrkJZNCKYf+POvk0bIsEomEkrF0u11WV1fZ2tpia2uLWq22Z6HTiLFOXuU6+mqJTlZ1S6t8lmvJOTrJlXeKbnn9wR/8wV98QW/CfyZ43y/9l/eW23VK7Tq9fo9YKEzHc+nTp9fvESCgBl0dffakGDKA6elCZhC359GjT2VAXAA6nkvZbdD1XGJWhK7nkghHKbXrZMJxrlS3Vdqu59LyunS8LqZh+OUJBGi4baZjGXZbNfr4Y0Sl0+CNuZM8UV1R5280ivxZexW353FNepbdVtXPv13HMkMUm1WVttlts9uq+eXS2mCzWSJuRchGElQ6DeqdFk/W1piJT7BWK6jzDcOg4NY4GMtTcuu03S5ez6PcrjMVTVNoVlTaltuhH0DV1e15BAiw2SnzyvgSj1Sv0Ov3sMwg1XaDmXiW8+U1rGAIt+cRNExuSC7xOTPEA7vPABAPRah1mlRjEc6V9trA7Xn86NStfGz7jCKAs/Esr4gt8Be9TXY7NTqeO7g3XT6QvIXf3z2jjp3MLPGr/QXe8cQ6pU4Db0CKS60azUScs7uXVF5tt8vp9CEe3DmPEQj4/cmKUGrV+IXINB+oXFBpa50mTbqs13YJB0N0vC7ZaJJ73C1+NHCAjzYv4/U8YqEwhUaFm1KL3F94Wp2/3tjlwe4Wb8wcpxOEQquCETAotqq8K3sDdxTPq7RnqivcHyixVS+xmMyz26rScjv8Y/MKdvoAJ1MLXKhtYgQMdptVUpEYTxVXaXldxT+Chkmn59L2uvT6PYKmSddzMYwA5fawkaTX79N2Oz6JHPxruR0CBLAGz0Xb69Lotqh3WjS6bdqD/pYMx+j1exS7NYqD/l3o1Hi6ska359HWiOZqo8Bqo0C/3ycdidN2uzTdDrVui27PGyKlvX6Pg+lpVqsFen2fcwRNE9MwqLQb9Pp+OUNmkFa3Ta3bGpowAPz83G3cUb24V1f6dD2X9XZpqFxuz8PteTTdDt3eYEwIBOh4XRrdtupbvb5/ftPt0NTODwQCtN3OIK1fBtMw6HoujW6bZnd4k7Vf+Pmf3Ped/Zymh3A4rCwo+qChE1OdgO4HfYCTgstA2Gw2lXWt0+lctdwo58oAq1txdYuPbrkSbZy+hBoKhYjH48oKZFkWuVxOLXvK9XVLjD4wSp09z1PLrqFQSOnlpDzxeJxYLKbIQCgUIhqNEgwGlQVMiIMsx0ubAkpb2Gq1FCkT66KQHd1yHA6HiUajytoomkjRnIZCIa655hplbZNyrK+vMzk5qaQGKysr1Ot1RZ4WFxepVqskEglmZmZUWY4dO8aVK1eUnrFUKnHo0CEymQy5XI5gMMj58+eVpKFQKLCzs6PaZ2pqilqtRrVaVfrcWCxGp9NRFnzR1lYqFSKRiNJ9CjmenJxkaWmJpaW9ZSSx5EUiEUKhEOl0momJCaV9Fiuq6Gdlqd51XTKZjJI67OzssLm5ycbGBuVyWVnEZem73+9Tr9eV1VbIpU6eRL+qWwKlz+r/5X7rEzSdtAqB7HQ6Q31UJmLyvIiltVKpUKlUqFaryoIsRFr6iehypV/K5KRerysyLOWTCaSQWPkufV6X5IjFVvLudDqKfI4SS/1domvbddIp19bP1Ymunl7/q/+XYy911Dp7W8L3+/2riKoR8EmjaZh779d+j15/2LjQ9VyS4RiNbnvI6hKzIjQ6LY5OHKDR8a3y1XaDttthubLFQmpKpbVMn8RkIgm6gwGuPxjg1uq7atAF36L1j8Un+erpk0PHvJ7Hz8y9jvOlNVVWI2BQ7TTVkrBer8lYWrVBv9/H63kUmzVWqnt7m1hmiIuVTbXkDb4ludyq82hpmXJrj7wkrCgrtZ0hC+RkLM1Oo8x0YkINvL1+j1qnyT2NZVXXZrfNZCzNhcYmi6m8SlttN/jkxqPU+3tkqtZp8vbZU6y2d9USPsC/m3sd/3ntjiEr2+XKFh9e+wxbnfLQ/f5/Jm/jXTufJh2Jq+t+duc8b969m1KnrghJtd3gDTPXs9EtD1lx3zp7M3+7/jAH09OqDo1Oi8lYmg9YvoVTkI9n2KqXOJSeoSpW2EaF9douP9E6o/Iqt+ospvL8z50zvGnmRnV+Mhyj2m7w1zufwymuqHswnZjgv67dzY8ceO1Veb1i6qjqB9KPzu5e4lMbZ1QbGgGDlXqB2UQWb9D3e/0eu80qpVZd1avruSSsKLVOa6gfhYMWbbejSKfk1ev36PZcdQ91DiR9T9q21mlS67TUMWkL6bsCMVoFAgHV5/r9Ph2vS9vtYJl7Kx3XZGZ5prQ+xMW6nl8eeX4lr5gVGfILAJ+ovm/t01dxuVOTR3B73r4SBb2e0m469OdXx35pu577oiQA8DxxVu+6666+LOnK0qTubKEXXqAPvGI1HYVcq9Fo0O12FTHI5XKK8MmA6bouW1tbagAWGUA4HMZ1XWq1miKAui5UrJrBYJB4PK4sbN1uV+kvZYk6l8uRyWSYm5tTOjoZ6IU8AMq6KzIBIRO9Xo9IJEK73cY0TarVqiLZUoYLFy7geR6pVIpSqUQkEuHixYvMz8+TTqdV/ZLJJJVKhStXrjA5OUmj0SAWiylyvby8DMD8/DydTodyuczly5e54YYbeOCBBxRBmpmZIZvNsru7y8bGBrFYjI2NDRzH4U1vehPxeFwRujvuuIMbbriBj33sY7iuy9d+7deSzWaVDvLJJ5+k1Wpx+vRpVldXuXz5MpOTk/T7feXI9cQTT7CyssK73/1uVlZWlMTgmWeeodPpMDs7S71eJxAIUCgUOHv2LI888gjVapUDBw4Qj8c5cuQIk5OTZDIZXNdlYWGBnZ0dkskkMzMzqi7nzp3jyJEjylnroYceIpFI8DVf8zVYlsXFixe5fPkyU1NTBAIBms0mpVJJOWDl83lOnjypHIq2t7f5y7/8S2V5NwyD66+/XuWbSqWYmJggkUhw8eJFKpUKvV6PVCpFPB4nHvfjosaJAAAgAElEQVSXqMRyK/02HA4rx7x2u62snKFQSD1DuuOSrhEFTUuk6T1FxqLrQQW6xEbkIVKGcDg8RADFYi2TFCHjkq88a/JdJnKBQEBNfKSP7+zsUCwWOX/+PMViUdV/1DlK16uPvqj2c5TSf9Pz18upW7j3S3///fePHazGGGOMMb5C8Hk5WImWUSxFstypW1X0pT7dAQPYl6gCQ0t8shQrliNdm6prUcWCKQO8WLj05UpdaqBbqarVKrFYjHQ6rfKTJdlOp0Oj0Rhy7pJrySAoVhrLshQxEeumWIxd11XX1kmHlFGWYEXXB74Dm2hXRXPYarUUEfY8j0QiQSaTURYx0zSJRqMqUoGQF5EkFAqFIalGvV7n2LFj5PN5CoUCCwsLihjkcjm2trbIZrPU63WazSbxeJzp6Wm63S7ZbJb19XWeeOIJpqamKJfLrK6uKgeidDrNzs4Ojz/+OFtbW2QyGWU5nZ2dJZ/PK+JUq9VIJpPKAira3V6vR6FQoFwuK+ex7e1tIpEIOzs7lEol0um0anORaSQSCdUeyWSSAwcOUCqVFEmcnZ1Vetput8v8/Dy5XE7d21gsRiQSURMY6Q8ygdre3mZ3d1cRq0ajoXTDYj2VFQFxEux2u2pJXpe/6LpoWeKXPi5L74B6fvS+LM+DfBZHMuk/8nxK/5RnSqyiEvFArM8SQUD6t3jm6wRQnnUh1mKt1GUMumNYtVqlWCxSr9cVUZR3gv5/VAqg609HranSh/UoCbrWVf+snzNqpX0p4tmsIl9o2vnkJDfkDg1Z9cQZYz8HkMlYekiPJjrP/Zw99GsCHM8u+HpYTWcnTjWjjlvXZRcxNS2unsd+1ptRJ4/FVJ50JD5kUdProMOemOerp08O6TWlDZ7L+UzwzrlXctv0SY5nF65K+6r88avq9U2zL+fn525Tx8S69tHs1Q5Oo85V0nb/I/e6q9KOOokdTE/zhpnr+f4Dr1bHjmTmVJl1vGXmJr56+iTXZRfVMXFUG60D+FpjHa+dPsGh9AxvnLnhqvN1HSvADx94DQupqaE+87MDJ7v9+txof75t+iSWGbrKMWg/iCOTfs/lnu7XZ/dzNoKr+xdc3b+fC/v1w+SIvlXq/kKtk0bAGFqlkHb63rlXveByfanxvDIA3bFodClRlwjIoCEDtE4sr8p0xKmq1WpRqVQol8tqOVMcjqrVqiKjorGzLEstiep5yEArliFZQm2325TLZRW2SJbpe72eKrs4F4k1VMilEFYhHEIkd3d36Xa7Q45eIjMoFAoUCgUMw2BnZ4fz58+rAXx3d1fVSxyXJFqBaEFFOiDholKpFPV6nVqtBqCsuJ7nMTMzw6te9SplZY5EIkxOTpJMJikUCvR6PQ4dOkQqleL06dOEQiFSqRRLS0vcfffdVKtVKpUKW1tbvPOd7+Rtb3sb6+vrasl/fX2ddDpNJBKh2Wziui5LS0tsbm5SrVa5fPkyhmHwjd/4jXzzN38zhUKBEydOACitcalUwrZtpQPd3t5mZ2eHSCRCLpdTWkyJ7NBsNlleXqZUKinLYKFQUNKKI0eOKCu1ePy3Wi3OnTuH4zgkEgmmp6eVLCSTyagJgWiYhbwBRKNRjh8/TiQSUX1N5AAiGVhdXWV1dfUqRyNZApfrFQoFJWsQS7xMZPRJS7FYpFQqKWs8DIdtGvWCl0mhZVlKiiLPkkwqhbzq5E0iTsjzcenSJS5fvkyh4Guj5FwhrQLpf9IfdVIsdalUKmxvb7O+vs7Ozo56dmTlQ8ojZbIsa+ha+jtE3ilCTkUSIvXX9bdyjv5ZJ9OiVX6pRgO4bmJBeZwLMhHfUUb38A8HLeJWhEwkMSTvMgIGlhlS3sWCleoOCTMypDF7vHyZN83cqPSnen7zsdyQvtUIGKQjccLBPQelQCBAOhLH0gb4cNCi03PJRpLUB9ICgJVWgXfMvYJI0FIDt2mYLNe2SFiRIYeXpBXFnpgnErQUwYuGwrxi6igTkYQ6Fg5aWEaQmejeUjv4JPUtMzdhJ+aGPL0r3QaHzJRybgL4XPGiT4qM4NBSbTaa5Otj1wzl/9c7n+MNxhTrjaIiJYFAgGQ4xi+5EyqtaZisNgp84HiRD1Y+p65pGgaZSIIfc59UpD0ZjnEyu8QDN6avIkrzyUl+qvuEqsNsIssrpo5y/8KSItwhM8hmo8R/7If574VH1Lmr9QI3Th7m74uPK3JkmSEeql7kbYE8O+093e5Gu8R3zN3KRqekiJlpmJzMLvF11qI6Fg5arLZ3+dHodTxe39PiLje2eMfcK/j61DFVrlwsxcerDnPhLJ62xPzbuw/xm9Ov9zXqg3rFrAi/n389GW0iEw5aXGxts5CcZDKWUu0dDlocnTiAPTGvyiXXOZlZpM8eZ2l02yykpvC0JftAIIBlhphLZNX9MgIGQcMkHLSYjmWG7m3CinJ95qBKK5OwazKzKoIC+BE0FlN5ZmMTaqIRsyLMJXNcl1ogE96rmxEIkI0msTRnv5gVIRmOkYulhshsIBDgzdM3cN/OOXV+IBAgHLT4g43PDL0PoqEwk7H0VY6RoxENJBrCbCKr0lpmCMsM+Q54mpxEnLEmY2nVZ3Wnq9EJ4bPhBUUDGPW01R0h9IF0lOWLBWc/wqovLYoDiejwhITqg6dcSyxRujZwv9mFaBTF2UXCHCWTSbVUa5omk5OTpFIpJSvodDpqeVGItDhuCPEVAiVEQIij7gVfq9VUjM1KxX+oxdKpx8PUl2gl3BbA1NSUIrGe5ynHLFlKF4udDPLSpjJwg08Wc7mcav/NzU263a7y9q9UKgSDQRU/dnZ2lkqlwvHjx5X8QOQTlmUxOztLLpejUCgwNzdHNpslk8nw8pe/nMXFRbrdLgsLCySTSTWJsCxraDl5e3tbkZDrr7+eV7/61UO64EgkQqPRoFQq4Xke+XxeWavj8TjJZJJAIEC9Xsc0TRUuKxKJsL6+TqlUUhMRub/T09PK4U0sqqKrFUt2JpNRkxyxlAp5LpfL7OzsqLzkXkl8WbEm6vpWPTyZ7qQIDC2xyyRmP8umaK31/89m+dStk9KfJE8hh+12W4WlkvqJ979umdWfp/087aX/ygRKrNP6Kov+WffsH3136NcfJehCQHUL7Oh7R7fG6pEWdKfJlxoe273Eo4WLnMwuKQtapd3gcmWbxdQUqcGA0/G61DpNyu06CSuqBtM+vrY1pHnNCybNYY/ittflvuJThM2QShsIBIiFwjS89pBeLWFFmAgnqHVayhO+3+/T6LaJBfdCDnU9l4vlTW5LXMMhXUfa73GmuYapRSro9/u4nsfLUksENUt6qV1ntV4gE94jwl6vh1Nd5VjigPICb7sd1hq73BQ9wFxsL0TSbrPKU61N7OCEasNAIECpXedkLzJEHLKRBDtuzXfoGjigWGaIU+nDPNjdVk4lgUAAywhyQ9uj03PVMx8ygvxw7hX8mtXUzg8SCVp89PHFIceaqWiaO6euZbtZpjGYNLTcDn8SmeT7nk4pb2uAiXCCjyeXKLZrREL+8abb4TfI8JNVi+ggbXDg8f4XZkw5ywBEgxZfHZ6n6Xau0iNe2xleNTUCAUIY9Pp9dV3LDDIVSrJJR1233+/T9AZGAnOvrBkrTqnXJt03VXSKYrPGdrPML3h5pqJ7hKbRbfNz5QeIhcKKWDY6LX6q8gC/njitiKJpGDS9Dm+JX0vUtFSfMwIBAgQGTod9lTYZjrLSKlBt7+l+ATq94bqGjCAT0QRF7X5HQj5JnU/k2GyUaHU7Ku3BRJ7l5pZKOxlNMRlJsdUss9PaI/yWEWQiFKfTc1VUCDNgkA7FqHgNqt29cvX6fVpedyiSh9frETJM3J6n+neAAEHD5JPbZ6/Sq3/39C1D3+OhMPFQhHq3Rb27N0mMBcPEgmEabltdYyKSYDKaYqdZodjyjWjJcJRMJE6pVaek6bwjwRBJK0q106Q1cPIKGqa6ZsMddrB6NjxnNIBSqfReffDRowLIoKk7IclxwWiMVdgzW+skdnt7WwXBlwHaNE1FAmu12pBuVALVi6VJyINuZRWiKwO6kJx0Ok0ul1PlnpiYUARWwmWJlUmW+sXiJV724vkvMTyXl5eVd3+z2SQQCAwRJt3zemdnh4WFhSFymslk2N3dpdPpcODAAXZ2dpiZmSGRSCjSY5qmsrBOTEywtbXF+fPnOXbsGPF4nGq1ytramrJcPf300xw9epSFhQUV5unhhx8mGAxy4sQJtra2fK/DdJp8Pq+0p2Id7Pf7LC0tMTk5yZEjR8jn8zzxxBOcO3eOEydOMDk5ycTEhMovEongOA6Tk5Nsbm7SbDZZWFjggQceUJsjXL58mWg0yvLyMocPH6ZWq3H27FnlRCbtmU6nVWD+SCRCPp9XkRhkolIoFLj99tvZ2dlhaWmJQCCgNgsQ6YdhGExPT3P06FG1hF4qleh0OmSzWdLpNLVaDcMwlG5a7oPEHzVNk1qtpnSZ09PTyqIqfVv6pDwHEhpMHLREliKrErKsLf1K0gjJ1FcwxPIuGxDIMyWRFfR0cp5IQ+LxOPl8nkwmo2IZ60vxIlWQ51ImgPt550vdxIJfq9XY2tpSuleZ/OmbGMg5OvnUv+/nWDVKWGFvJUb/XX8X6ZIAuWfyLnrXu971kosGIJ93WlVFaMSLudSuD5Efge/xuzco9/GdkXQrUzQUxgwGCQWDVDr+5DlkBml0W9yUvYaV+p7TUrXTJGD44bLEC9kMGGw1ShiBgHJ2Ad8xw+v39pyu6JMIR3misUE2nGBn4HkfNExWawWOpxc4X17T6gUrzQJHUrMqdJPX7ymSKE5HXr9H2+2y1ioOeUaHzCAXWjuEjKDyBO/TZ7dV5YpXYafhX7Pf75OwopTDIbp4FAZEIxwMsVzZ5HTuiGoDr9/jQm2TqBWm0PKjFHQ9l0Opac6G+rw8scgj5Usq7T3VZfKxCS7X9yIK/OTkrXwmUKNj9FS9/jB+mts2fWtYV3lh9/hgdZ2W4bHdKKl6/X7i5bxh637CwRD1QRu03A4faqyy49XYHtTL7Xl85/QtPN4r0wl4lAZt8I35m/m/1+7lYGqaHa1dl5J5zoR6HAzneLq2AcB1qQU+tvEwx9PzPD24N27PY7m+RT8cYr2+q85/ZfYon2guMx/JcWlQXysY4tHdi1yizma9pO5BJGjxKaPC25PHeLB62e8HZpB6p8VP5b+Ku6rLqr5tt8vHm5fVfe96Li23y8P1Va5PLXK+uq7KVWhVKLSqQ05X8VBErQSIJTcStCg2q6QjcRoDAuf1e9Q7LbyBo5Xk1fQ67DQrKqKFpN1qlpWnPPgTqVK7RmcQGUOVv+eyUtuhMnDKAn9CudOs0O65dAde+VLerudiGqa6hjfw2G+73aFn6TX561iubQ0ZDb9n9qv44No9BAioOjQHHvuulg/4k4NG1594yvFGt02t01SOmOA7ENa7LbzB86zfl0a3jdfzVHtLJIGu517lgPV5RQPQtWJiWZEBaTSElW5Nkf8y2IxaSAWj3tG6/hRQA7oMqjIYSXqxnOiOG5JO92QVC6yQUdiLdKBbdsSSKGl0zaC+lCuRA8QLPxwOUygUVIxU8cRvtVokk0m1/A1+4H7Z4UlfqqzVakqHKiQHUNZdseam02mlE5Qg7K7rEo/HVZitjY0N+v0+s7OzKgxUq9VS529sbLCyskI+nyeRSKidqdrtNltbWySTSRYXFwkGgyo26sbGBqlUiptuuomFhQVmZ2fJZDKEQiEOHjyI53ns7u4SCoUolUrE43EajQb5fJ5er8fa2hqhUIjt7W0OHTpEIBBQ3uhyv9LpNIZhEI/HOXDgAOl0Wuk6+/0+xWJRRTwol8uUy2Wmp6dxXZfFxUV1/zY2NtjY2KDT6agdyhKJBIlEgnw+ryztnU6HcNhfBspkMkoHK1ZLnUhJ5ARZUhdnPgn+XygUVJ8V679Yz2WlQK6t67VHNZvyWX9GdLmJ6GHFSUt/1nRHLMMw1HK4lEsnj0L29GdH18wCQ2RQ8pe2q9frVKtVdf9066huVdWJp/59lHzq6XU5z35W19H3kP55NA7sSxnP5p37+aaV5X/dk148mx/YdvY9R/eklwF4P+/gUYhH+ZO7V6661oPbT+1b9id2L6tjulf980GiGFyubD1v2tLAiiQe6+B7vcOzt4EOqc9H1j7zvGnft/ZpYLhe37R7J8AQyXk2fHPhDmCvLZ8Lv7t6DwDL5U11TMooHvcCKc/fbexJBu7dehKA+7fO8Xz45MajANy1+bg6tlYt7JtW7t9vr96tjkmf++W1O543LyFHn9587HnTyqREb1vJX+7xc0GPcPH5oKFJXvaDLr+RPNr7TDxHcec+df/9tXuBF/eO+FLjedX1o0t4o4OD7gihO2LoFhsYJqxiVZVlddHOSVrd4qRbdIUEiMZNH2CbzeYQ2RUiK4O3WLxkqV+sUnr9ABWSSpZ0hdQIYRLvciGRQhRbrRbFYlE5H4lEQDz8hXRLvE7RAspSssgPgsGgsqCJJVGC0uuTgmq1iud5bG1tKSuutKVlWeTzeWXhlRBYYgFdXV1VO2Ilk0m1jH327FlWV1eZmZlhYmKC5eVlZXnWiYKc1263mZ6eVluXLi0tKd2t3BcJaZVKpZR8YGpqilgsRqlUUtudAmrb2lwux3XXXUc6nVb65V6vR7lcxvM8dnZ2VCzU3d1dFe5qenqafD5Pq9VSu5AZhqEiRkh7BwIBZa0XZzORIIiUQjze0+n0UJB9IaG6c1SpVKJcLivNpkS4ECdA3UFK+r5hGErCYVmWmqgYhjGkm5bJnFg19R3eRFMt19RDv8n9kuV+IbmjhE6sxFIfXYoj+cs9l9/FIVHyl+dcJ8KSv0wUBaMTWjkmafUVGz3daLgrefZHJ8e65OKFOh+M8cLxaOHi8ycaQAb/F4LRWIvwwoimwOtdHTv22bAfWdZJtY796rDf4P9seKq4etWxZyNOQvh0fHT9/3/Beb0Qsi3Y1WLSCiTk0wvBi2mDz+1cuOrYxfLGvmn1iZDgSmV7n5T7Yz/y9UKIveCFkD/Bi+lz+/XvF4MXMuF4LnwlkdJnw3OSVRlIRfMm/3Xrk64d1fVlozo3GWD03XoknigwRIgknql4UMuALWTMNE3laS+xHWXXI8lD34tcdpWSsEg6cZTlZhlgLctS1iwhpuvr6+zu7qpl/UajobzMa7UamUyG48ePc/HiRR5//HF2d3fVkn25XFb1ajabHDp0aCiSQDKZVPFXZXeqRCLBysqKsnaKM9H29jbtdpsLFy6omJqmaSrntHg8Tr1eZ3FxUckoRIYglshWq8Wjjz7K5OQks7OzytErm83SaDR47WtfSy6X4/z582pJ+cqVK8TjcZrNJseP+96ejzzyCJ/97GfpdDrce++9lEoltR2pyBpkdzHTNHnwwQd5+umnqdfrrKyscPbsWdbX1xUxDIVC3HzzzeTzeU6dOsXi4iKbm5ssLS2xtbWllv/j8bjaGWttbQ3P8yiXyxQKBV75yleSyWSYnZ3Ftn0P3StXrvD0009TqVRUCLNGo8GlS5e4cOECm5ubyjlIokSIY1YwGGRxcZH5+XmOHj3KoUOHFJEDlGVVHJ7EUXB5eZmVlRUVn7bX66mlctjTFsfjcVKplLKAttttFb+1Wq0OkcJIJDIUqaJcLqtdyiqVCru7u5TLZaXZbbfbXL58meXlZa5cuaIcukqlkuo7orfWiarUR/LVLcryvIp+V989Tp/MCCHWl+X1d4n+PtE1p3o6kYBIjFh9cqxvAa1/lu/SvmI1fyli1NFmP0913cFGhzha7OdB/WYtNqZANILy1wgYmIa5r8e75CUOGLIdZcKKKmcXSaPHPRWIM4bawWqgs91vC1Sps6S1J+Y5mfUdiyQPuZ7u3S/nvjp/3VA8VcnjZbmDV+V1Z+5WVR/w2/CG3CHeNntKxUkV55LvGXhg69tv5uMZ3j/z+iEHK4A/38eTX8qkR0qIhsIUv/NlVzmryPfTU9eqvKYTE/zq7OvVMcnzr/aJMHBNZladp6d9/8zrr0or9ZRyWWaIt8+e4v0zr1cOP/L3V2evPv+67CJvnb1ZtaH0kddPv+yqtFJ2uY/Hswu8e+5Wbps+qdpOyiHl0h2Rbs0fYz45qdLK3/36rERZ0O9NNBRmVnOwGr1ve7pZ3xEpE0mo32QSLW2rQ+quR3YIBALPGbVDjx4QMoP+bl0jEQW+a+6rrjpPd6jU/z4XRreTHTU66H/3w2ieLwbPeYa+vDgaZmZ0+VLXkI0SVbmWTlaFMIrVSCwy+nFZbpSBVCyx4hijL7uP6mN1L2HYC6Mlu+6IJVYGxFEHGBm0dcIrzlZ6aKlut0ulUhmyjglJkd2xXNdVW19KQHZZghaCI8HUZcm3UCgoMrG5uUmxWOSZZ56hXC5TrVZVm4olt9VqqaVs0ffKdcRSJ5raaDTK0tKSyktkDouLi0rf+dRTT5FIJNje3qZUKlGr1djc3KTRaPDUU09x5swZFfpKJBWLi4vU63VWV1eZmppSRLRerzM1NUU+nyefz6uYsclkkiNHjihHMbkPmYz/kopGo2SzWdV2omWWCAACmdjIMvf09LQK0ST3aXt7W91/0/Rj4YoTl9yfYDCo8hDLubRlJpNhYmJCTWZ0OYhYvfWlf5E5yP0fjU8s0LWvQtiEOOubDujSF301QyywEpXANP1QYUJehfDWajUqlYraREAP9i9l0MO+6c6R0hZyLanPqEZUX96X/jmqKR3Vr+8nIRpd7dDTyjFd0yppdemPLqV4qWEumeNAIjd0zO15KhSRoNNzfQ/k5NTwca9LciRUj+qjIxECkuEYmXCcbDQ5ZLEMB0NMhYa3UhSP6Wsys0pLaxoGsWCYqWhaObsYAYNkOEY6OLxF5PHsAi9LLhCzIpjiBT4gDZOR1BBhvW36JG/IHCdkBpVVqdSt8+bIwaG6GYEAJ7NL5KPDXsnVdpOlYIpkMKoG/mKrxmQszXXh6aGQVNlokmyiORQJoNfvkQ7GuD6QVBrhZrdDPp5hihDZ6F6kg27PIx9Ok/P6SiMs22Rm+92hNsjFUuTDafLxjNLdSruah2eVs4u6N1acW/PHeHjH3xkraUW5Ln6ANwWLnNldHko7bbaG2nA6McGsNTFE2CUawTfkNnjLzE3qeDoSJxOKcyg9s+fQ1u+RCVgc6PqOPwAhw2Qylibv9ocmCPl4hplQmtlAVDkAVjtNDqanSRrWUOinmyav4VZrllxsz6HsfHmdW7woaWOvb0QHXv/5cHooret55M04ISM4ZHEMBy1S5nCfCwct4kHfc13Xi4YHW7PK/QqaJtlokslYamjTCyMQIB7yHQvFKTAaCpMMx5i1Joa85tOROBPRBNdkZlkd7KYmE7nrcwc5md3bCEcmhPl4Zu+dN9hSOR2MKQcvlX7EUVK2RjUNU9UhEPCjHIj3v0C2Ro1ZkaGJbcgMkrCiql0DBAiZwau2kRXCngzHhu6jZYZIWNF9Q3Xth+d0sGo0Gu8d9eyFPYeH0cFFBk+puJBQnaTKX4lJqYeQEnIhlhzxfJflVFmCbDabKvh4KpVSDkTiPS/OKKNxF9vtttIuCgHWl1CFMAg5feaZZ1TsUdnpR8rabrd55plnlDVua2uLeDyulpkTiQS5XI5wOMzExIRago1Go6RSKaXvfOSRR3jiiScoFosq5FQ8Hufs2bNUq1XS6TSdTof19XUuXbqk2s00TU6cOMEjjzxCLBZjdnaWCxcuMDMzQ7lc5vrrr+czn/mMijHqui6PPfYYp0+f5siRI5TLZTY3Nzl58iSJRALHcTh8+DDtdpszZ86oTRMef9zXFd1zzz2srq4Sj8e5fPkyt9xyCxcuXOC6667jypUrnDx5knq9zkMPPcTU1BQrKyssLS2xvb3N1tYWMzMznDhxgl6vx9bWFnNzc9xwww0sLS1RLBZ5zWteQ7/f5+DBg+RyOSqVCul0mlarRTqdZnp6mnPnzpFOp7nzzju57777mJ6e5vjx41y6dElFXygUChw+fJjd3V01qRFL5IkTJ5T+9/HHH1cTmHQ6zeHDh4lGo8zP+/t7r6+vKx2zaF5d11UOZRLrNxgMMjk5qeICy8qAODsBKuSZEGjRfQJKnqAHtteJWTabVbuIyW+Ashzquk8JhSaTH122o+uoRh2V9OdZognoEzgh9hL3VtpUriXl0smoPoGV33VSOUpwR5f+5X2wn5PVqIPnqOZVlwG84x3veMk5WFU7TeUkk4kkaA2cLnYHjj65WIrmwLmh0m4ogiNpwXe2iIQsjIAxtNwZi0TZaBTV947XxRtswSpbqMatCDOxCZzK6lDoqj59oqEwG/Wi8g4PB0N0e/42rC23Q58+RiBAs9vmutQ8TnlvGX2nWeFyY4eO12Uynqbe8behrLQbZCKJoe1Sl+tbnKtv4PY8jk4coDDYmvXh1jqLMT9uZ6FVodNz2WgUefXEUR4p7kkcvH6Pi+0Cp1OH2OiWaXbb5GIpCo0Kr09dwye29pbBm26H36tu4/Zc0pE4LbfDVDyNZQapB+Dp2oa/1agVodis8juZCd5fuEQqEqPtdjEDBq9IH+Kc0eFyq0DHc4mELBqdFjemr+Vvynsa3Wa3zRszx7h/97zarjUXS/HE6Vle+bHVoW1gO16X782e4s82HlKT2mPpeV4WmuT32iW1NWvMilBtN0hMXMMdu3tboNY7Ld6eOc7tO+cImkG6nsvJ7BLLlU02Q4f56/WHVNq22+WHsqf42M5j9Pq+c55lhpiN5cgbUf6+tow32Cmt0q6zMLHIXUUtr26LqViGCi7L9S3fGaffo9Sq8ZHkAX6nvKdd3mgUWQ802KgVWUhOUmz5Wzs/HWrzutAsm0HfKanTc9lulJmIJLhS3VbbwBIIsOlWOJGYZ6NTpuu5/varXpeAGRiSfng9j0KrOtiK1W9DywwRCVlUuvW1plQAACAASURBVA1/W9W+v61ppd3gQDzHaq1A0DDx+nsSs7rrb3cq4bYa3RYrjcKQ1KXtdpmKplku+1vFStqW22GjWWSruec85z8nBrVOU5HoqBUmH02zXNu6SuryWGNjyOnJ7Xl0B2WX3euMgIHbc69yetIdIOVdEAgEBtvQdtV1DcPwt551u0NRJfx29B0eFYk3/Lw6XywHq9HBQbf+jDo+7Gdx3c+zVyw1unVVBjyxDsl/0eeJNk4PXyXkUh/8ZEAWvac4zIh1S3Z8ajQayhooYYrE+iSB38VZp1qtKs2oBFhvNBpK71osFpUEQdKJRlXaQA9lJIO8tGUmk1Fbl+qa00wmQ7lcptfrkc/nFREWnaMQeYnZqTsKpVIp1W4Sskk+SyD8RCLB/Py8sgLKvZR6yy5iYqkU734hcisrK/R6PR577DG17AywsLDA8vKy8k5fXV0lFotx6NAhgsEg1WqV6elptclALBZjbm6OpaUlMpmM2lhAPM3F+i1RAcLhMFtbvjZLltCFJIpjmYS4khBZEpNXLKGxWIxMJqOup0eOmJubU85a+XxeTQ5kYiPtKs+EbC0aDoeVBVJIomz0oD9PMiHrdruKGOpL5xLPWOogkzFdh6rHMxbLsJwnFnq5tmVZajVB+pAQ0VGnJ7mu7vQkdZLJo66T1VdeRi2jep11ramuQZfnQLeY6ufqVtTR4/p36cO63Ejq9VJGyAwqhyAd+zmLjKbt9Xs0Oq0hDd98cpJOzx2yrsh2qzErogadWqfJM6X1QQgdLfbpYEtN/fzmYG/wurYdZddzyUaTPFS6wE2T16i0+haqmzWfMHs9j3DQYq2+y2xiL/SUbM2ai6WUbrTruTQ6LR4rXlIOUl3PxTJD/P322aEg9VKPO3afVO1VaFRIhmN8rHpuyKooed2Zu1W14WatyOd2LvBI7dLQtqb2xDzf12rwGzOvVzrZjtflY+ufZd2tKvLS6LT4F7OnuSNQVpsOgL/F6Z+u3c9cMqd0kDuNMnP3PE3dHXbQka1ZJ2NpRTIe2n6aD67ew3q7qPKqthv88IHX8GB3ayiA/48ceC2/tXqXbwkfWIE/t3OBHzzwGu6vXVRL8bC3fed0YkLVt+12+Nv1h/mz3prSjTa7bb517hZuby7z2ukT6vxXTB3lwe2neKx6WZ3f7/fJxzO8u73Fh/J7soGF1BRXKtucnrqWZ0rrqh88VVzlDypnlBNb1/MnD8vVLRZTeaX79Hoeu80q9xYcVa+u53IwPc1Wozy0GiDvk8VUfsiTvdCoKA93uV9HJw7wVHH1Kg/9Rqc1RPTabodD6Rn6DO/kt5jKc7myNTRBbA/Chsk7brTP6Wh0WiyXN4ciXYDfZ/Q4sToCgb3IHC9Gg6uvYqnIB73hnQT1tKN4MXmpsj6X59r6+npfJ5Ky/Kk7i8iSoBAt/TexNslSoyyrVqtVut2u+itaPPkOqCX3QCCgLGSy1CtLu2LV0gdEcQhJp9MkEgnS6fSQk5J4Uc/MzAwRDCGMoVBIBapfXV2lXC4TDocVaZClfBlAV1b8l54QY32JVpyQhGSL9lN2chIi/dhjj3H58mVs22ZxcZFsNsunPvUpqtUqhw8fZnZ2lkcffZRarcZNN91EsVhkdXWV173udXzyk5+k0Wjw9re/nbvvvpvjx4+rMj755JPMzc1x6tQp7rrrLjKZjHJ22t3d5ciRI2QyGe677z5l2atWq1x33XWUy2UuXbrE4uKi2l4UUBONG2+8kXvuuYdut6uW/F/96lfz8Y9/nJWVFb7pm76JQ4cO8dRTT1GpVDhx4oTS99brdZaXl8lkMrRaLWWxXVtbY2dnh+PHj7O7u8upU6cUac7n80oL/OEPf1iRyLm5OR577DHm5uZIpVK0Wi3m5+dV6CqZ+ITDYQ4cOCD9mpWVFY4fP87dd9/Ntddey8TEBK7rqro/+OCDzM7O8vjjj9PtdrFteyiSQzAYZHV1Fc/ziMfjShMcCASYnJykVquRSCSUXEHIpBCpaDRKPp8f6iPSvwFFKEX7LBraRqMxJG8QLW82m1XaVXkOYI/8SYQA/SUjlmXdGVJIq2jKW60WKysr1Ot1KpXKkEOVLh/QHSiFpEs+8gLTJ2r6b3K+WKXl2lJeOV+9FEcmAaPQy/ORj3zkJeVlNd5u9X+x9+ZBkmT3ediXmVVZWfd99t09s9OzMzsze9+L3QUWXEAgSFGiAkGGBApBijZFkSYdli3LdMBhMWjLthSEHQ4rLNMkRUJ0EEKYBIkAAeJYaBeLBWZ3ZzDXbvd0T/f0dHV13feVlZn+o+r3q5fZNbMzC4ZFxeJFbMxW9cs7s96Xv/cdP2o/aj9q/zG39xW36uSAiVOGYkUFsAssxCqJs9JKfycqAA0q9JmqoP1+n9dDimoRLNPUPVX1aFqUBGA0mFGlk/adqnS0rGhTRTQDSrIqFAqo1Wq8feKtkpCDEqZoWpiqX8Q9BcACrlAohGAwyFW6UqnE6VyZTIbTr6i6m06nOamKKqySJHH1kQQ3BJYIZBCvstVqccAAMOZ/JpNJBINByLLMKnpS5K+vr3OaFVXsEokE5ubm0G632Wprb28PuVyOK21+vx83btzA8vIy6vU6bty4wTZXmqYhn8/jlVde4VADSZIY8A0GA04/qtfrKBaLKJfLuHbtGpLJJJLJJPNwO50OA714PM5G/9VqlWkZLpeLq7E0lU2UEbpGpN4n3irdpxRFapomAoEAFhYWEIlEGEQdHh6yoIiAIwAWKhGoEoESUUZoJoLuH+KVUvWVGr3s0EuV1+vFaDSefiLQS88OgXDi2ZI5Pz1LYryr6GksclJpffSvLE8N/+klUpzhEPuLxytWWJ3/iW/aIi3ByVN17odIL6BlaX3OSu4sbiv9Jn0Q253EC86/ifw8Z3NyyVL+yBHxBglmnHxYYFz9EeMziaM4a/+cYi5FVqDIio3XSIIrZ9xqNhBDQPXaKmLUd1Ykp/OYz8ZXEPT4ZnLnnCKYT+UeZ/4dtV+ae9Z2fGKjiFhqP5N7Aj+ZfcRWMabmFG49lrwPa5Es/ukkXhSYnuf/PvsCnE2MPwWm50lcnprzuJ5J3Y//Ifsi/iT2HH9Hx/OdpN08Ph2IIuEL458I6/3J7CMAgI9kzhzZlvN8v5w5h7PxFdv+0rl3CpxeSJ/G06mTtqr538o+ats/sTm/ezK1jnQgOrOvyBelZeO+kI27TAlTswSKIkcZmN7DzusAHL0PJWksmhIFi840LWf/WZ9JPDZrP8S+zt/J99N+2OV/2HZHsCra4jin8JyDyCwOmkgXcBqC0xSqWLElUVW73eZBn6bHaSqXeJ80oJMtTygUYnP7hYUFzM/Ps62S3+9nCyIyUKdBuVqtIp/Po1QqYTQaoVaroVQqodlsYmlpCblcjjmjJJ4pl8sMBufm5hCNRhEOhxGJRHgd+/v7GI1G7EJAHMhCoYB8Po9IJAJd11Gr1RCPxzEcDlEsFtFsNvHuu+8inU6zD2kqlcLc3BxPcZNK3bIspFIpZLNZKIqCdDqNwWCAbDaLlZUVFhXt7OywN6okSfjKV76Cvb09bGxsoNPpYH5+Hq+//jqazSYODg7g8Xiws7ODc+fOYXt7G4qiYG1tDXNzc/D7/Tg4OMDm5iYkScLOzg7W1tbwpS99CZVKBVtbW5ifn2cfzr/8y7/Exz/+cTSbTeRyOXZWoCognct8Pg9d1/mckiNEvV7HzZs3sbe3x/6yZ8+e5QjV5eVlAEA0GkUkEuFo2fX1dbjdbqZpUMQrxcOSq8Dx48fRbrdRr9e5Gk4vOGSJlUwmmSZC3rMkUiKhlcfjweLiIld3SchGlIF+v49yuczVSZppIK4tNfLzJSoI2V4BU6BKThVEjQBgc18Apv6sBP5EgMoPv/A9rZeS3ur1OkqlEsfc6rrOL0TiMy2CcXruyR2ERH2i2l/kxjo55aJPK4F5Uvs7xZwiBWnWZ6JXfBCb5lYR1vy2aFVJGseauhwD2dAYHRm0gfGUpCjKkCQJ5W4TYZfPZsMzMg0EPT4UujUeJCmu9RPpcwi5p0BFVVw4EZ3HfDBhU/U/nTqJ55InGVxFtACy/igejq/ZxFDlXhNn4yswTJOBQkQL4D5/DouBJIu2AOAJ/zI+m3sBXpdqi9n8+dzTyPqiTEXwuFTc6lWQ9h4FLr869xzOeedt3+2NmngotoaUkKj0hfol/Gb2BXT1gW1A/3TuSXzcPcfbUhU33uzdwk+NgtjtFBnAeN0e/EzuCbzkmUagBlQvtjoF/K6yhH/dvDg9B/0mHkveh3872OLjCnp8+LHMOfy7aMQGykzLwkIoic933mGwFfT48FLmLP4PeZWvQS4YhwULv/y5M/j7val36sg0sBBK4peskk3pH3R58fvaGfyb1pS3ezBq4XPpF/FOJ29zDvhM7in8jfgDLNxSFTeudvP4WXXlSDJUOhDF/6Xk+AXH41Kx2S3gOVeaRVMA8Hp7G7+e+xDUicqezuF/l3sBx4JZWzTsrX4Fx31Z7gOMQfyPZx9GVpveB7Iko6P3sehL2njW++0KTsYWMBjptuu1GEohovn5PhxzOE24FReuNw5syv+A6sW56IqN/mJZFv5O9lG8UpnalZmWhZg3CEWWbcv7JlHCIoiVIEGRFdT7Hdv3iqzgJ9MP8WcSR2ku1fbsuxUX3IoLPlXj46K+XrfHBq4pRlWMLnYrLnYNoeMiIZVzeXG9zr4+VbOJru7U7gqsikb9VN0SB1AagMR/nTwzsYkVUupHAyUp6QEwl5QGIAA2SxvRNosGaZpmJyGVmD9Oog0CziLvlbw8LctiwEqUgFQqxUInqmZSihbxAGmgFL0sidZAFbtCocDbCgaD8Pl8XBn2+XzstUoVLuKo0j4SBWIwGCAYDHKmPZnfD4dDrhqSaEdRFBYGEfCo1+uIRCK4desWhsMhdnd3WQhFIJ4qeZlMhiuplFakaRri8TiWlpbwzDPPYDAYYH19HYqiYG5uDolEApcvX0an08Hzzz+PRCLBoK5YLHLs58HBAfb391EoFLjSDIABLFUzh8MhwuEwU0JkWUY0GsUTTzyBRCLBXq6yLCObzTLILxaLbGtFAJPssmjq3ePxoNVq8XkhF4hgMMgV+OFwyC86xOOkKmYikeApdjHKlbjZ3W6XaTDEm3W6WxAfm/pIksTCrlnPEF3fSCTCkbC0jds9b86penp26Z6l604cbrKDE8EyrUtc3slVFf91VkCdgiixikp/EwGryG0FYOsrbn/WvvyHrgL8h2x9fYj2sM8Rm8D4d7s16CGgarZzMxgNUezUj1R+bjaLWA6kbMtbsBBSNFsEq9el4r5gDj2B25oJRPGR5Gl8vXIV79anAilNUTE0R+gbQwwmnL6AUM1sT/iD8uT61UedIy9YVX3MCSVRSUfv43vVTbzoXcJjsSmH8ivVK/hXzYt4OXYKD4THKmrTMvGl5lV80nuMB3jLstAbDfGgb55jQoGx+f/Xe7t42QhOAaRbQ2FYx69YOWTUiNC3g8+1LiCi+W32W3tGG0v61NdVkiSU+g08ky4gqYX52DyKG/tGGwumwuelPezBJSv4E4/HliaU88XwWSONfLfKAE6RZHxGj+D3ezGbiCahhfBb6mmU+02OEPUobnwccfypd7qt1rCHa61b0L/8dZwMTsH5sVAWbz4VxvXmAYqTVKmuPkDfGOL3tCE0IS51v1/BD5QB5rQ4/JNrGlA15M0uctD42oY8PqiyC3O6ZQOrS4EkfsP/IP5bpYfDSQoXOQiccVifjkwDf97bYhHT+Npa+P3uO/h5aYEjSBVZRmvYw1OuJIKql+NWu/oAbzS38KQ2B58AlCRI0M2RLbVNVVzoGUObEMgwTTSGHUTVAMeaypIMt+zCmegydHPE/GuXrGAtmMGN7iFfR7K++uLhW7YXP9My0dEHRyqrfX0Ij+LmbQHj+2sxmByLpIT9/Xj6HL5c/oGwznHKFlVyxeXdE9Hc1OXAmnBYTdtzp8gyXIoy/l7YlixJ7OBBn8d8W/OIr6siy3z+gfE965IV2/bfq93RDaBWq/EfRSsb5xQiMDXyFwcPmroWB2MCepSPTvw6qjy1Wi0GlQQA/H6/TSRCSn8CrgQ+dF2Hz+djEEJT9V6vF4FAgCNXR6MRi42azSaDORLKUGWMqrjz8/PsHypJEqvAk8kkAxgCr6PRiK2siPMHgMFXoVCAqqoIh8PI5/NQlLFv6+nTp3nqlfYHgK2SZVkWC5BisRj6/T4ymQzS6TQkScLm5iZisRguX77MynqqEGqahmvXrjF9YnV1FZVKBZqm4fLly0in0ygWi3j88cfR6XSQTqexv7+PhYUFBk4XLlzAwsICNjY2sLS0BEVRsL+/j2w2i1gsht3dXRw7dgwnT57El7/8Zbz00ktcGbt58ya++tWv4qGHHkIwGMTXv/51bG5usi3WaDTCwsICMpkMfvCDH+Ctt97Cww8/DE3TcN9998Hn82F3d5cBeDweRzQaxf7+PtrtNu677z5W1u/s7MAwDLz22mt4+OGHxwPShLZA/NednR1sbm4iGo1iMBhwyMLc3BxM0+QQgP39fVbZW5aFdDrNIRClUokr3eRIQVxsemGi+5hmDQhk0hS6UyilKAqi0ahN0EcvSERvUFUV0WgUbrcbBwcHtmANstEi+yt67gB7YpwIJunZJqDaaDSYskD0G+eLqFNUKb54igIocUaGf9SEPs7+TnoAfTfLCcAJamdRjj75yU9+4NwAKO7ROWhYsFi97Gw+t+eIeXrbGNiUuj5VgyUDiiJzdvhiMIUr1V2oipv7toa9sQKeKCeTAa417KHWb02U0+OXvcFIx16njL1ehUUXvdEQsiSj0K2jrfd5f71uD4qdOnKBODsYmJaJsObHm+1baJt9Fg1ZGAPOtjzCleou9+0M+7g0LNmiM92KC9u9Epb8SRwKiutir4Gr7j4O2uOo0Oawi5Fl4gvdG3gitILLrTEQD3p8qHSb+HTqUXynvs3butEp4sCvYr87dikwTAPrkQW8MQhhyR3BheY4Cao/GmK3U0TeY7FlEQD8Z4kn8IXuBua0OK/jVyIP4edLr2A+kEBhEmHaHw3xhd4Oqm4T++2pqf4/jD+CXzv8FrxulY+3qw/wF+0bqChDFDpjkdrQ0PFHoSfwlZ0gNq0OR75+0X8f1n9wCT63xi4RlmXhHyYewxfql6FbBttvPRY7hi8cnMej4RW8Wd3m63i9XcDlYYlBWVcfIOOL4rtoYlVL4vokrvWT0dP4zcK34VFVBqtDYwS/qmFTBVJqCDudsbDWrbiw3y7jo/HTuFDf5XNb67fxqlHie2BkGtBcKi7rZSx5k9htF6f3gd7HTbPJ4QgWLES9QbRG45cEOt6gx4eDdhWLoRRqEzcNiu1t6T2bGOxEdB4/qNyAIiv83JmWicNeHSPLZFBmWRY+knpgHFXreKcemSOoisv2LFqwoJsGgCnXP+ELjQMUJLuAaaN9AAvT7+j5G03cFaiR4l+MSx3/ZhhH4lLZCcAybcc1msSnit/R8uLvDvcVvjcm35nWUWD7vtwAaLAQLafo/8W/i59FADvrR5HAEq2XqAAkrCAFN5mmkw2V1+vlaheppqmKSjzMfr/PfNNOp8P8T13XubpK/YHxIEiKcgKJbrcbiUSChVntdpunUxOJBFKpFKLRKHw+H6v7I5EIVFVlv09RWNbtdnHr1i3U63UG5bIssytBpVLB3t4eXC4X4vE4p1b5/X6OLG21WohGo8hkMtB1nYE1iY8oyYnOPYUVVKtVHB4ecpWMKAoLCws4PBzH6l27dg2xWIy9Z7e3t1Gr1VCtVhEMBhnw1Ot1VKtV7O7uYnkSr0pTteTtShVJVVXx/PPPs+q+Vqvh4sWLiMfjiMfj2N7eZkoBvWTU63UEg0F0Oh3mHxNft9froVAosLKfwLuu6wiHwwiFQgiHwzBNEzdv3oTH40E+P44ITCQSzC0m3mWz2YTH40Gz2US5XEYgMK6cUNRuq9XiKi/xS3O5HDRNszkBEAhUFIXPrzgVPet5oGXJHYJeUOj+A8BRvcRvFnnVVGEnZwWqRtJsAwFPcfbC+ZIpzoxQIx6s6L3q5Jk7Z0xEcEget05AKX4WZzhmVUVFvruz8ipuTwSqdCzidpzLfVDbvaTW3E1CDimnqcoGTKM4b5f84xy0AMx0KHA26iOqhkk9L0aCAlN3AwKV4v44+85qdFx3k85F5+mP8m8c2df/ff/fz1xGbG9P/E7vJm71N/PfAmCPl/2Ng3EEqzMC9U7L3y6dS2w/Uf02AODV4lX+7qnS+Bid1+u3JuslRwZgmn4l2lndrlFc61cKF/i738l/Z2ZfuqZi6hftz7+7i3Qv6ns3MbBkWSUeL91bt0vcEhsd190o3enYbbNWk+fjdmlX4nrp3N9JIE/Nqdq/1/Z+l/urbu8psKKqqDiI0UAoijdoYKABVayq0nIi2KWBniqsqqoinU4jm80iHo8jHA4zUCXgGg6H4ff7GXzEYjHkcjlks1ksLi6yKp0qpCScabfbnGMuSRJXw6gi5fV6kc1moes68wrp/4vFIvP3+v0+YrEY1tfXmStIvp0nTpyAqqpsx0QxrADQ6XQYNJIoiHiOpmkyGPP5fOzLurOzw/6k8/Pz8Pl8zMMlwOfz+XDlyhWYpolkMon9/X2O/nz33XfR7Xaxvb0NXddx6dIl3t9isYi33nqLt+31enF4eIjV1VWMRiNcuDB+kCgilfotLy+zDVYul0M4HMajjz6KYDCIRqMBt9uNEydOIJ1Ow+fzoVwu4/r16zh//jw+/OEP45FHHsEbb7zBLwXz8/OIRqNoNBpckV5bW2MebT6fR6fTweuvv45arQZJkvDOO+9wlVTXdWSzWayvrzMAjEajeOedd/Dqq68yhUBVVU6GomrhY489xk4LtCzxUQ8PD/ml6f7778fDDz+MZDLJLzbNZhPFYpGno3u98Zt8vV7HcDjklydS0BOlggAdCdl6vR7TXugZcblcqNfryOfzqFar/IyJNm8U1tBqteD1evm5cLlcTCuRZdkGXsXIYPHZpGeZXnAohpa2NWt63jmlL/JQRe7pLCEmNTFxSnTRAMDgl/ivIud1VsVVFF6J1eIPOlh1JlMBRwGsyDN1tqzPLt4Ia350Rn2b2OVOohDLsmx8WJHz52yKY3lVccMwDdt6SagjpvsAY2GSbhq2bRFHc5Ywxmnt83TqJAYj3WZ+T42qfNRezpyDW3HZRDh/NzdOr5qVovVmZcv2+ddzH8LXq1dnCtsO+/ZtvZQ5i+5oYDsG4o6Ktk/U3JKdj0ypRU6RFwA84Vuyff507klclwb4mdwT/B1xT53JVv9l7nk0B138rND3pyaiJ3F5amHVfqwPJ46hMmzZ7iM6HsNxf34q9zj2+hXb8ZIQ7R/njiZu5Xwx22ey/XLakgGwcZwB4HRsCb3R0Cacous0S3wX9NiDM+j6z0rBcgK+sYBQtt0HtN07iR6p3Snl7XZFwv8/mlhs+KvsC9xFZdVpRyVO58/iwTmXpwGDBkValqY2afoQAKcaOcVYNI1qWRZXkKjCStVYMZZRBMUizYAqr9VqFe122xaXSVnzmqZxrns4HIbL5UK73UatVmPgKssyYrEY2wxRkpaoXg+Hw4hGo8wvFP91uVyIRqMwDAPBYBDhcJinXQk01Wo17O3tIZVKceWSlOzEgfV4PCiXy9jY2OBz3Gw2mapAoHk0GmFvbw+ZTAaJRAKHh4fIZrM89UvxpcPhkAMTDMPg7RLVgarMpmkiGo2iXh//uI5GIxQKBWQyGYRCIZimiWq1yiIiTdOY+hEKhXD69GmkUil+QQGAtbU1G1+Wkpuy2axNbHVwcADLstj1wOVycXgAVQPn5+exsrKCXC6Hvb09Prder5c9cul6r62tsfUT+aqSrRgBKo/Hw0CS7l0AbAVGkb8EoulaiADMsiyuLIphGM5pebr/qKpKjZ4d4iJTWhUwddKgGQBxu3Q8dP8AsFUjaXnRYs4JRGkK3/lMzgKsIpB0ugI4K6IiRQiwx7I6q6xiFdf5GzOroivy3D+oTTdGRwYERVZsA68x8UJ1gtiA6kXQJSY9yWj0O8hpMVsFs6cP4HV7xqk+DlFFJhC1VWEHoyE8LhU9fcBAKO4LweNS4XG5ebBeDKUwNPQj+9UadBH0+HCzWWQAF9ECuFTZQdoXsW2r0m2yiT8B8lwwjpg3iLg3yGBzPpjAa8VrmAvEkW9Np+DPxldwNr6CqBCTmQvG8ZXCBaS8YZtx/L/Jv46/m3sS1V6LQUQ6EMWnco9jIZjgY305cw7/Iv8KwqrdbzYbiOGX5p7FnHcKlhdCSXytcBEpT9jmi3vYriEdiOLbh1cYHN0XncPjyRNYVmO2a/A7+e/gM7mn8L3Shk3Y8tO5x/ATg6mwJejx4ffyr+MXRrqt4tse9hBQvfib1Vf4ReBEdB7/Y/5b+HT6Mfyh0PeLB9/HT2Ufxefz37UJyp5J3Y9fDpzh8+11e/Bm+fqR++jbh1fwXPoUPq3dx2AtogXwR/k38JHAMXz78Ar3vVTZwQPxZfzz/CssyvO6PTgZW8DT2oJN9PRG6V18LHQSXytc5OPNBeNj1b93mrAWUL24XN2FprhtU/B0z3WHfX5xUmQFC6EkHgwtcz+PS0W110LMG8S16p5NkS9LMn4iPfXlHfNCDYQmvsPUhoYOVXGjNejytiJaANlAzMYTB8bPtltx2WYOZElGQPXC43Lbnvf3avcCGp1xq+J3YpCBCI5l6Si1i7Al/Xs37T0rq6KXKv0//UdTlKK4Q6wCiVUcWZa5LynFqZJDAIiAK01rkurfKdYiNXc4PH4AaJqUuIMkZioUCtjd3UWlUkGz2USlUkGpVEKpVOLM9GKxyP9P6n3yuLQsC+FwmKev6/U6bt26hUqlwlzLmzdvolAo4MaNGyiXy2g0GtjZ66L0nAAAIABJREFU2QEwBgpkNeXxeLC2tsbncmdnh03p5+fnOUaVuJHJ5DgCsdPpoNPpcATp5uYmWq0WQqEQBoMBzpw5g729PXz1q1/F4uIiFEVh7q6qqrj//vtx48YNrn5SNXp5eRmFQoFFXeFwGPPz83jooYewsLCAZDKJnZ0drvQFg0HE43HEYjEcP36chVsulwulUgnPPvssEokENE3D1tYWFhcXGZBnMhkWvOVyOVy6dAl+vx8nT57E+vo6nnjiCXziE5/g6ngymcS5c+dw/PhxbG1tIZVKYX5+HufPn0c8HkcoFEKtVkMkEkEul4NlWQiFQjxFf+LECTz33HMMqolyIEkSkskkTNPE7u4uVFVFNpvF6uoqlpaWsLq6ylV7enGRJIlfcur1OjY2NlAul6EoCiKRCIu66MELhUJMIRCFdXRPA1P6C9ml0ZQ/cbGLxSJXjullAgBX6pvNJoPpbrfL9yK9wNBLkWmaLJYigRl5HYs0AQKzou+q6CVM3zm5qvQ9TfE7eaxOmgD9SIkgV6yqktiLXoBnVXJJvEjCSvq9oBdXWu6DDFQJkIpVSVmSeWCmKEYSXSiS/UUDAExYUIThwZykD5mwbIAoF4wj4Q0hrPl50FEVN1ZDGTQHXds6F0JJrIbSSPkjMCc81nFqTwjPRk9gYaIC7xtDLISS+Fj6rC0X/kR0Hk9H78NyOM0JOeokC/2pwAoWQtPYWI9LhVdR8VPZRxGdCKQMy8TZ0BIeD66yCKc6aGM+mMCn/SdtJvebrQM0Rz38A/9pFl4pkoyVcAa/4LvfVj3zqRq+1b6OT+Uex/Hw2FqqPxpib9TEf+U5xYKj7zW2kA3E8N1TMXwm9xTv10G7ij9tXsP/bGYYgHZHA8wHE/ivsYQnU+u2c/ix0Emk/BF0iAc6GiCkaPjMwA+/I87yutFA0ONjsGNaJnTLxDFPi/sNjRE8LhXpXNNWnb4vOofzS8cQUL1oTEDVzXYJES2Av92XcDa+wn0jWgALshfZQIzjUkemgY8paRQlA93ReF8N08RCKIln3FlbJXshlMTTShLLOlj01Bh0oCpuPGJotupy3BfCz7lXsRBKwjMBpkNjhDl1XHXWzSltyuv2YIgxL5numfqgg2VfCie8WRZ+dfUBVMWNFyLrtnPgdXsm4qZpLKlhGoi5A+iYwyn1bhIusehP8ssbtR/PPIg/F0RPquJGWPPbXC2A8XMbmESdknK/3m+j0KnhVGzxiP2WM1LZggUTFvzu6cuoLEkzFf6ikp/uDbfs4u+csaqq4rZ955qIxOz7L8PjUrk/NWmyD6ri5m3J0qSv7LorQA0Ad/xFd/qa2k6MwIWbhchvpz6mdYlepDTokBLauQ7RjocGNarAUfWLDPYBMCiWJImtgqgiTJUnqkaRR2mj0WBgQNUrohLQVCSJZyj6slwuQ9d1NJtNTpwiL9Jms4knn3wSBwcHSCQSzMGkiiw5AFCF2DRNlMtlnDlzBtvb21hZWcFoNEK1WkUsFmObKqoyKoqCXq+HaDQKWZbRarVQKBSQzWZ5elWSJN6GYRg4ODjgc1CpVJhTSo4HZDD/4Q9/2HbOisUilpeXkUwm2cmAeLBkKdbv9znutlgsYn5+noFUvV7HqVOnsLOzw8BFlmVcv34dqVQK6+vr8Pl8TAlYXV3lJLHRaMTBDFSJpmn9SCSCYrHI/rUej4ftw7rdLlRVxfz8PA4PDzkIIRgM8naSySRUVUUwGGSxWavVYg4rea4SKNc0Dbu7u+xMQP/FYjEGfARwAbDJP3kG0zMkqv6JMmOaJp9X+ptIAaBZB6KoEE/WOd0tUnfE54b+XxQj0bNIFB/q4wwQoNkJ8Rmm46B+tE5xNsP5e0BgVFyHM7yAXhJpW+Lvj1hJdlZx6aVYdBD4oNIADNOAbkiO3HM36v2OLWVmKr6YPU1oCspfSszpm0MbPzXfqnCylFjRqg3bMCy7qnivWYLX7UFPH3B1d2iMUOw28B29z2rnWr8NffK9uK13a7fQCw1xs1nkgburD1Ds1BFzB7DXLHHfwWiInjHEFw++jydT6yh3GzBME283duBzexgMqLILt1plfNtXxvnSprC8jtqgja9pRawFM7hYuYF8uwrDNHDBv8gpScCY86opbvxR/g0GsYZpYrdXwuvBKfBpDXuoGi3837tn8TsH38TLmXP4SucCn+vvelR4huNz2B72URk18bWcjtfzU77lXrOEbW8KxU4dAdWLAYBSbzyb9rVgCAkrxKKhoaGjb+q2Kq7mUtE0B6jrQQZvdI4rhwFbdXqjto9r0jG0hz0GFIZpoq638d2YGxfzU45vvd9GyRrioF3lbcW8QdyUdbStEUaTF+6Qx4e9Zgm7/q6tkr3XLGE70EPDo8LqTbPuh4aOvGLaqsuVbhOHEQN7zRLfc4oko2n00ZTHWfVU8e/pA/QtwzbL4HWpuNE5RFVtI+4NIt+qQJKk8baMlu0c9CZ2ZM50JhMW+qY+Vr9bBi8/MHX09AE8LpXPqwn782VZFhr9zhhIC1VcwzSgTxKvxBdNy7JQG7bvius9Mgzo8ggSJBZWWZYFOGi04nNF2xqZxhGRJQCbyJLHNtO0uVzQ8pY1OlItNS0TQ2MyfmD62zMYDe+psnpHN4ByufxZ2hmRDuDknwKwDSpiiRcAg0AyUKfKDg0+ouG/yGmldXq9Xvh8Pq7OKYrCAiICvcT3DIfDLLohZTQZ+otVrEqlwuIgv39cFdje3mZvUqo2kvsAcQV9Ph+ryqkaSjzHZrOJUqmEZDLJg7fP50OlUkE0GkW5XObs+aWlJfbF7Pf7WF1dRSgUgt/vZ8HWysoKV4+/+c1vQlVVLCws8NSz2+1GvV7H2toaUqkUe5V6PB50Oh0cP34cnU4HtVoNu7u76Ha7XJkkEZPb7Ua73cb8/DwMw0ClUmHub71eZ/P+XC6HWCyGcrnM1ITr16/jgQce4Bhbcl344he/iPX1dQbix44dQ7PZxCuvvIKHHnoIfr8fHo+HI013dnaQyWQwHA5x5coVnDx5Etvb27z/nU4HW1tbNqGP3+/H1tYWAxRgDLIuXrwIXddxcHCAlZUVFue1220GmmRJdeLECTbrp2r64eEhOw10u13bjMBwOMTm5iYsy0Kr1cLx48fh9XrZmD+ZTPL9EQqF0G63+R6k9CuiRtB3dK/F43GoqsoUFeK50osSgf9KpcL3NFElCPzLsszPGt1b4nPkVNoTyKMKLnFdxcosgUCRB0qgU+Sq0g+O6IlK23AKzmxTSLLdXUBchtZHxyfSikQnAPE70UlElmW8/PLLHzg3AOAoN1W/jQsAAJsdjdjfr2qsuqdl3YrLlmcuLk98Q8M00NH7MAUnAGqkiGYboIny2LQsXq8prMfZGhMXAVJrE+AqD1tH+pNQ5VZnrJDv6gP0R0MMjBEP/LSe/X7Nxpe0LAv90RAVvY29dsl2DnYGlSN55mTdVe41eb+awy4udw54qpeO67xexNDQWQkPjIHsZauOw840RhYADqzOkfO9O1Hr07EbpoHmoIuBqrDIhxq5CNC2R6aBG50iRtE5XGzu2fqaoRW81bJ/9//0dm3HTufoO939I/zSS61btm119QHebN1EDX2+j4gn2pKGaA7tor4rrX00XAZuNh3nW+rydaf2WmvXtj+GZWK/W4HlVnAwcUmge62KHrsWAJOI39EQI8tAZXK9aFtVvX3k2jo/A0CxV4eOqRsCLU/XX7wXN9oHE1A73Vdg6s0qNgKLzuempdvvAWBcIXa2sXLfuCdxJW1r1u/Aey1zr+1utvW+3ABowBAHplnUABrQqC8tSwMQTdGJnFVx3SQAoSqdKMgisRSBUQAsuAoEAiz+6Xa7HBBAPFYCftFolAUa1Kg6E4/HEYlEkM1mEQ6HkcvlEI1GGeTQVC4AtqEiEQp5szr5dLVajV0PyLKKOJwEHol/22g0mPtJtIPFxUWUy2UWCJFd0eHhIVqtFu8TgX8Scx0/fhyBQADd7nj6jTxNafo9FAoxWJJlGZVKhR0RTNPEwsICWyeJWfAEaOm60H1ALyDtdps5ulRJ7XQ6XBEslUrI5/Ps7hCLxSBJEnK5HHRdRygUYiU9Ke4DgQCDLjpfYoWNOLAE5kh4t7m5iUajgX6/D1VV+fxRShgwTvOihDAAaDTG/LNOp8MuC1S9DIfDcLvdKJfLNp6p6LlLgJZs1ggoqqrKwQIEroj76nK5+Lkhi7Vut8tJXwQyqS85I4jnQZx+p2eMlhNjjEUFvpNzPotjSp+pUT8noBTveSc/Xfws/m6I2yOgKQJhJxidBZjF55j6iN85+bM/au+vUe662ESe4Xu1exkwZ1V07qXdzo3gbrd1u+07gSIwdQ+4mzYLcN/OeUGs6FG7l/N9N24G1P5whhvBv86/dtfL38v1utUq39V3wLia62w3m8W73pYTrAN21wKx/bDXVqz2vld7r4rle7V7EUjdy3P3H1O7I1gVBySRCiAOBM5qq9iH1LyUGkUVErKVIhGJZVlc2aFoU5oOFW2cQqEQA4B0Oo3FxUWk02m2XqJ9If4dVYlSqRQWFhYQi8UYMNN0cT6fR7fbhdvtxtNPP82enlQZo+n6aDTK07CUXrS0tISlpSWuEBJwCIVCHP3ZarUQi8XQ7XY5PjMcnhpCZzIZuN1ubG1twe12o1AoYG9vD9lslj+//vrriEQiaLVaePfdd7G7uwtFUVCv19FsNnH58mW2hjp+/DgikQhSqRQGgwGfx0gkgmAwiHfffZercgS46UWAps47nQ4SiQTOnTvHQIo8QsPhMANL0zRx/fp1uFwuJBIJBs0f/ehHYRgGotEoPv/5z0OWZaZV7O7u4uLFi+zEMBqNcOzYMQbqTzzxBE6ePIlcLscxrMQp1nWdqQSdTgeBQIC5pSSUCwQC2N/fRyqVgtfrZVBE9AWPx8PuE6VSiUEd3QNU4azX6xwXe+vWLXYRIHGcpmm4ePEirly5wvct0T2ockp+qHTfdTodSJLEL1rU5ufnEYlEGBBTRZoU/el0GoVCgekfdExUDaZqIlV/SexFYFUUK9FzKoq3SBBIKW/AdKYEmL54islUTgqOyDulSrfoIuBMnhK5rKLwSqyUi9xZp7sAbVd0HyDqi7jMB7UFVLtSWZkk4JDYQWz0WRTG/Hj2YVs/mm6dpT6mv4nii/tji7aoVWokiBFdCCJaABEtwMsTP1FU3FOj7dPyxC+cpcQ/l1i17d/Z+ArmgwnEfSEW21B8qfN8BVQvTsYWkA5EeVu07VluBqS4F1XaP559mAVkwJgDCoC5tbTN07El3B9bRMwb5OWJ5jDLoYC4orTemDeIB+LLWAyljijJifNL23ogvoxfnXsO/2huGqtK1+l/S794ZFt0vejY6Vz+mBATSu10bMm2rbVIFv88+yKeTp3k60Pr++ncY0eW/8W5Z/Brc88duRY/O8Nh4IX0aQDT8x3W/DgRncd/MveMLZUKAH5rEk0rpoM9lz6Fn8w+wueLzuUs1wCirIjcSp+q4f9MvXjEBYP6iPxQecJ1FoVIAGycX7GvuLwkSZgPJmbGxc665z0u1Xb+3q9o6m77OkVTs9bDBQpHot7dbpO3fac/3s52RtyIk88qglVxPTSIkF0T+XKKwg5npYbWR33EqhEJgwjIktqapjZJ6U6pQTQ4EzePhChkL0RerLFYjMVMPp+PK1pkAD8/P89Ag6Z/fT4fFGWc3kS2RQRyacrW6/Uy4KWpZwL0y8vLbE7vcrkwHA6xt7eHdrvNYh9S9xPQIKBZLBbZOUDTNNTrdXg8HraHCofDHL5A3EuxakYVQAJ0AFjARdtQFIV5lsVikSu3J06cYPW7GNKQSCS4MkpAt1KpsCtBr9dDrVZjPqcsy2xTRhW5RCLBVmHAmB9MFW2qUsuyzMCbqAXHjh1jkFYul1lERvcHeai6XC6MRiPs7OzwdL8sy+zl2263Of2KnCPIhorOZbVaRb/fR7Va5XNCL0wEWEUwSVQS4kLTfoZCIb4fnCKiUCjEvFJR8ESVUrouoqsFXW/aNjWRuiNSA6ivKGgUq7ezpvXpeXX+VoiA1QkYRVeA2/2giVQBJ2VBrJiKANwJgGkbH1SRldftsSXzAGOhhV/VoMjykaKDLMnwuj2cMKObI/gkl02BbMHiqE3RTWAs1BjHMIq/2W5JOSKeuD+2iNOhRQRU7zR9SZYRcGuIa0EWIqW0MD6UHgubxEH/8eQJPO1fQToQRXgCMlKeMD6SOYPjgZwt7/5TucfxGWUZPlXjade+qePngqeR88aYs6rJbvyt7KMIeXwOGyEX1jxJxNQAPK4xQOsZQzydOom4FrSBh4cTx/C0mrGBzaE5wo+ZYYTcPq50VQYtPJO6H/Na3GbbVBw08OPaKjSXytcg4NZwNr6CVW/aZtWV8keQdYdt209oITyvLeKY1x5LejK2gHNKbGw5NgkFuFrbw7N9GR5rmmhU6bdwX3QOS/rItl8nYws4HVrE48kTaE+WdykK4r4QTslhBvrAGPAue+JI+SMTA/vx1PVHpAaSip9pAP2RjnQgihPwYSWc4eVXwhncb6hYNqacc4rkjEpu27Xxuj0IyB5bfHB/pGNOjSJhufg7EgEt6xZywThTNVyyglUljHnZK6RKyUj4wojIniN2Ul6XiqDHx+uVJAmKJMMzg+YCwMZXpf5uwdnCggW34kJA0WzPkhhXKlZixyDPPlO0HE5jxZ8+AhYVeZwMJQLEWRGoquKeuHCozBWnCNfb9bWJpiDBrbhsMa7id06wPl7HdHmXrLDoSlzvndodOautVuuz4g+QyEWlHzzntJyTbyYOhtSfBtVyucxTn84pRjFSlQAJCYBI8S7LMiKRCPMQybqKQCxVdGmqsN/vo1KpsFobAAOT4XDI+5DL5RAMBpFIJHhat1IZc38IFLndbly7dg2KoiCVSvH+ptNpzq2nKXiiMgwGA6TTaYRCIZ4mJzBK+fPZbJarfzs7O5yuJMsyG9jv7OxA0zRY1jQ1aTQaIRAI8D4TP9KyLLbeWltbQzAYRKvVgqZpuHnzJlKpFA/stVoNhmFwxbvT6aBUKkGWZbTbbUjS1L7K7XYjlUrh1VdfRa/XY5HUaDTiyFcSjm1ubnJ6WDgcxmuvvYazZ88yIDs4OEA0GoWu60in01heXsaNGzeQz+exuLgIl8uFbDaLCxcuME9zbm6Oq8IibUBRFLz66qvI5/NIJBIctXp4eGhT8Pf7faytreHWrVsc+erxeNjFgPZ9Z2eH79ONjQ20221UKhXk83n4fD7EYjEWO0UiEVQqFVSrVUSjUbTbbTSbTX7h8vv9yGazkGWZraTm5uaQTCZRLBYhSRJX9TVNQygUQigU4gAHsVJJAkHiTBNlg54LCmxw2s2JzyhVIqkvfS8mX4lT9OJvgfisOvmsPNgIgioRaIuAdRYQFmd0xG04aQL0/859ELf34osvfuA4q6MJZxQYD5yGacCCNeE4Smwt41ZcMExzHDPpiG280trHJ7MP4UavDMMyocgyevoAZ8KLeLcxnaolL9TBJHXKssbWNUNrhAVvgvmiAFDqNXDYb6A3GkwG5Mk0qDQGd81BFxYsVPot7LSLCKhem6hkv1vBO90CmoMu4t7QmPMoS7hU28UAI+wLU8uXW/t43SihNejiXHwVhW4NXWOA1zp7CHt8SHhCOOzV0Rr18YPGTaR9UU6EAoChaaCgN5DwhFAbtDE0RrAAbDcLOBddsZ2Dg24VF/sFtAZdrIYyqPSbGJoGvjXM45nQMbQlHfVBB4ok43rzAAv+BK7V9rAcSqPSb2FojvDdzh7uC+YQ8fhR7DUwMEfY71Sw4E/g8iSBCxjHy7YwQKXbRFD1oj8aYmgZ2NAr8Lk8qOltG3/28rCE5qCLxVAKjcE4vvay18R/Ogrjgk9CsVeH6nKj0KnhxwKr+IP6NKu+3GvixfBx/PnhBRjWON0o5g2i1GkgG0jhtfK73Lc57GI1kMbF2g4SvhA6wz48Ljd+t1fG/yTP4TWPjlq/PRZCDTr4tHcVv1e9xMvXB228ZdXwj91B/OGwjP5oCM2lYjDS8UJwFd+oT8VvI9OA4RpTJEj4J0sSst4YuhJwc1DBYKQj6PGhPezBCCfw/coWCwrdigsDxUJM8eGd3iGGk8jPrt7Hs6EVfKc29cY1LBM5fwyFTo2XlyUZP5t6BF+1Kpz2Rc/ZL+eexXca27y8LMmYC8ax367wSxPFnB72G8yZBibuBa5x2pgITPuGjowvimp/ilvqgw7KgyYM00TCF2Yu8Mg04Fc1/mxZ47hVSowSj8uYJFDxcy/Zk6mO9LXMaeKWNI5nFX83JEnifuK2JEjcl5a3YPH2ndzn981ZnSXKoMFArLyKlRVgClSdA5NIDaBBVxRqURNtsqhaalkWcxRp4BK9NoPBIO8HAVwCioqiIJFIYHV1FctCDClVu8gLtN/vs9K90+lAVVUWdlUqFZTLZa6Y9ft97OzssCp+OByiVqvxdgg4kF8pAUUCuOFwGO12G8ViEZqmIZPJoNFocBWNfDwJ7FjWOEZ2YWEB8XgcXq8Xw+EQLpcLa2tr7LPZarUQiUS4OkYWTyQoI8BPsZ+hUAilUol5tJ1OBxsbG5wGZprj+NFms4lQKITV1VXU63UYhsEiNHJoIIBONmEAcHh4CFmW0e12cXh4yAKxarXK1VWqPKuqypGfJDSj6Wmq4lKjCjtVpOmeKZfL/PKhaRpKpRJXlb1eLyRpnEZGVVKqwIuxpnTu6VoQP5iAP3nGEh2CBGntdpsBmiRJfL+IU+HknkD7Q+4SdF/R9HgsFkOz2bR5qgLTFDgxdYqAmmjrRH3FCin/gAhVSXH/nMBQfH5FRwEROALgZ1I8dtE/lvZl1m+J8/9FUAzgCCgVxVri/4tAl35DPsgtoHptcZA8cAkiJ1Lyz5o9+9PCW1zh0Y0R0oEo/n35HZuVEimuycQfGA941V4Ll+q7uD+2yH3ViYdlWPPbxFSNfgfVXmtaebIsBFQvyhOvVGo0yC+H08x5LHbqCHp8qPXbPMUMjKd86/02ziVWOTWqpw8wGA2x2y4xv5NU41uNA1ulzzANNPodXK3t8b52h32oihuvFq/h6dTJI+fgseR9eLc2FhkNRkO0Bl38v4dvsRdme9gb+8JOzgvxM3VjhKGh41J9l4HpYDREWPPj7foNNsEHxv6th+0azsZXGMi3Bl0ctmu4UL3BTgDA2D+1NejixfQDNt7n1epN/DNXBZcqO3xcZ+Mr+Lq7b7u2n849id/Lv46w5uf76LBdQy4YxzuDQ1sl++XMOXylcAGnY0vMEa32Wqj32/hla5f5z0NDh9ftwR/LVXw8M/UeTfnHPrn/wiXxcfX0AU7HlvCl/rZten4tksVW/QAvpE/zfunGCK8Wr+JK/4ATu+r9Nl7KnMWh0UbCF+b7qzXo4mLlBr7Rvj6N57UsRLQAzg8Ktul52pZP1Wyxor+T/w5axpTzOhgN8Y/mnsP/uv9t22yCaZnYa5Zs4E03RjgZW4DheO4CqhftYe+IT+lgNMTNVslGq6FnIeYN2jx/Lcs6EnZA399uyl0sPL5XE/s6lxOfX7GJkar3si1nk+60UKlUsohbKIqq6DMNmuLABtjjHKniYVkW+53eunWLTfZJyEMKZLL7oYoPCaWoKpRKpSBJEk+zx+NxPniaQidgRNUncdrSNE0bJ5DEOMPhkG2eJEliYNVsNrliSTzbdDqNhYUF7O/vQ1VVnD9/noEPVVXJDsmyLPj9fpRKJaiqirW1NTQaDZv1FFXEFEVBNptlGy3LslAoFPjYer0eT0UTgCT1PoEzv9+PpaUl5v3S+SW7JtoepV1ZlsWV4Rs3buD++++HYRhYWlrCN7/5TZw5c4atsGR57G4wNzeHt99+G0tLS+h0Ojg4OMCZM2cAAMPhEK1WC2+88QYefPBBnD9/Hv1+H/F4HN///vcRiUSwsLAAv9+PTCaDcDiMQqGAxx9/HNVqFYlEAsPhEO+88w68Xi/i8TgCgQCuXbuG3/7t3+YQhUceeQTb29twu934hV/4BSQSCVy7dg1bW1t44403UKvV4PV60Wq1sLq6is3NTayvr7N6/tSpU/D5fHjzzTdx4cIFnDlzBktLS1hcXEQ4HEY2m0WxWMQf/MEfcOBAoVDgiv3+/j5eeOEFWxzwpUuXGDQfP34cwWAQb731FlZXV7mi6/P5UCwW0Ww2sb6+juXlZaY4AEA4HIbX60UikYAkjRO7CHTTyxq5ERAFQKQI0DMqCsBE72N6WaSXAAK3ADg8oVar2UI7nM+y80eHnnt6Rmc1p6WV88eTPotWVqI1HvUV/y7ulwhMxRmgz372sx8olZXizv31yEb8UftR+1H7UXsfzdDzM3+z37OyKooVZsUoOkUOBAyd1RJan1gh8nq9/B8AGxgGpjxIkVpAVSmqqgHTigupwhVFYS5qpVLBwcEBSqUSyuUy9vf3sbe3x1VD8hn1+/3M/SNeYyqVQiaTwd7eHm7cuIFwOMzT9aTg73a7OHXqFMePVioVFAoFnoZOp9Pwer3w+/08/atpGqdVkShG13XcunWLPVqJ60pCKopnVVWV07jy+byNX9vv91EqlVCv19FqtbiaSJxIqjhTRZT4uCsrK8zfvXHjBpaWlmBZFouz4vE4PB4P820J7BDXmABmoVBgH1Sie9B1LxQKSCaT/AJC092VSoUBINE3qGpIL0VUxSa+biAQwGAwwP7+PoOWbreLWm38Rh8IBFCr1ZiyoOs6otEofD4fkskkV6UpnazZbCIWi7FAjKry9PJC/qsEoNLpNFKpFObm5ljAR+IqSZJ4il+WZaaR0JQ63bOapiESidiU++JLCIUx0IsKPVP0DDifK/GF0TlTQc8GAVPxXxJHievnHwfZbhclPtdi1ZW+F2dbxHWI1U7nZ2cllT6L1WBnNVacqZnFa511LB+k9lfac5MEAAAgAElEQVR17M6IyQ+lT2MlnLGZgxPvUaxqUnOmZRH3chZHzbmtWesjPqVT4BT3hZDwhW3CErHq52zO7R+L5OBWXDMFK85zGfT4mNdH7U4iL2fk7UIoOUkZUo/0dZqj54Jx+FTNxiP9iezDAGbHyDq39bmJYGqWUM15fv9l5kX8WOacjR9LlTyxigyMhWI/l3sKvzj3DH9HFdlZ0a4/N4l9pXY2voJHksf5WO50XOlAFA8njtnWS+KsWcKrT+Uet31+IL6Ms/GVmYIu533wT3PPI+4L2URtdE1nCcqcYkM6pz+fe/pIX+e1JR6neB3oXpsVtypLMkfHivs+q6/zWbrT78Ffh9/Ju92H93QDmAVAnbwycVpQXEYcPGjQJQUzJdqIIhDR0Fu0mhI5qzQtTYCWknloAKPlgsEg81nJ2J0U0rVaDYeHh+j1eswNjMfjCAaDbL5OwJOsldrtNjY2NlAqlXDs2DEkEglEIhEGWvF4HIuLi8jlcgySm80mUxECgQA7EBCIJAU+MK5IRqNRVKtV1Ot1FItFtNttPi4CrlS5azQakGUZ1WqVLZfm5+fh8/nw9ttv4+rVq2i1WgyKB4MB804JTGcyGZw6dQrlchkrKys8ZU4OAOl0mrmZxD8cjUao1WpIp9Po9/t8XOSQYJomwuEwW4q1Wi3k83kcHh4iFosxUCfAe/36dQSDQVSrVWQyGaY6kMo/EonYlPCk2idB29raGu+X6A9KQDQWi2FpaQnxeByyLDPdgKyvSIBFwNo0x1GxVAmMx+NcoScQTZxZsuCi+4fieam/y+ViTitFAtMzQU4GdG0GgwEfF4FxEm2JTZzVcE6TU6WVqDWi0T9RZmg/iD4j0nhEXiut38kRFcGg82VU3FdxNkMEu9Rm0QBmcVVFatGsdcyiJzlnej5obdaUn6havt15EZW690XnoAmDuaq48crhZWiK22a5Y1omR7HSgKwqbiR8YQRVr80K6GazyFGqooNALhhHwK0x2FoIJdHod47s50G7imwghp4+4L4+VUOl20RY9dmsiLbqBwxYqe+xSA4pfwQJX4i3n/CFcb2eR8wbtE2hx30hnIjOw+v28HFFtABagy58k2l/asVOHSl/xBa3mgvGcS6xiqAAoIMTQ3xtIsBJB8aJS7849wxWwhn43FNxTy44jn+d98dt9lV/cvAmfiL7MCrdJousPpF9CF+OPQuf22MDKr9y+A18Lv0iyt0Gn8uA6sUnsg9h0Z/kcxBQvfi1wjewpgRtdIFbrTLH0RI496kaNmr7+HVXD/9q/1Xu+3pxTA/5XmmD9yHmDeIbsafwiDG9tgHVi4uVG/iUsoA/OXjzyHH9g8hDfF6I8vCMJ4fvlTa47x/nv4efzo3jXkWl/n+Tex5Pmn4+VrfiwqXKDv6eewV/nP8eg3ZVcePXcx/CC8lTfFxuxYXfzH8L81577C5FqP5F4YJNob8cTuPv+e+33aONfgdhzW+zAJMlGWHNb7sPKEY46g0wZQGYPrdi3Cq1p5LreKM05QiL0azi768syZAFYaT44j+riX9zbnNWc/7W0zbvZhlxG+Lyd0sJuONWRGsaGuic/2qaZqvSiP+JSmhRfUyVI1Il0zQ7AUyaVqWqFg28brebq0bBYJCz3knd7Xa7GZB6PB5Eo1GsrKxgdXUV2WyWo08zmQy8Xi+q1SoHAZCHKlW5qHpbKpXQbDZZ9T8cDvHmm2/ia1/7Gq5evQpd11GtVtnDVNM0vPTSS3j00Uc5qYqmwRcWFhgMkwcsVRkty+IYT/G8Xrt2DQcHB6hUKmx/RVU9VVVx7NgxrhrKsozFxUU89thj8Pv9uHXrForFos2v9PDwEIeHhygUCuyYUKvV8NWvfhVPPfUUPB4P20R97GMfQ7/fx/Xr17GwsIB6vY5r167hz/7sz3j7YhUvHo+j1WrBsiw0m01sb28f4UKqqsrA8+2330Y+n2eeLO0Tnf+1tTU28CcAR44Esizj8ccfR6PRwLVr13DlyhUWsc3NzXG186Mf/SiOHTvGdAJJkniq++DgAMlkEmtra5AkiT1ryVvWNE0cHBwgn8+j3W4jGAwimUxieXkZx44d48orWactLCzwOSkWi1AUBclkkvmx5FwhyzJSqRRTNWq1Gnu4hkIhNJtN7O3tsbUWORmQy4PIDSVQSDzfdrvNUa30Y0D9iCtO1W3xuSaQL6ZdAUd5poDdx5SoBeLsi2gl5QS7Tvsq8QfNuR6xcuy0yaK/30mUdTuQ+0FolmWN4ygnA6xf1dgiiiqQYc2PmDfIKnZSBVuWhd1WCccCWb4GujnOIv8b2qoNEIU1PxZD44hJUqIblglZkpDQQnBGPDaHXVtV0uNyQ4aEnHdaPXRJCh6IL+PvZ5+0Vd8i2vj5fSlzFkvBaQUwoHpxTEvbKmJBjw/lfhP/S+ZFPJMYV/3y3Soiqh//hf8snkyMq1QDQ0cuGMevBR+0Vd9U2QVZkvBS/BQ7K8iShGwghpfjp/GhiXUSMK6sJjwhvJQ5i/nAuBpZH3Rw2K/jV6OPsGp+ZBpYCWfwNyOn8UjyOMLuMTD93cPvAQBeS5/AidDY3mpojHAiOo+z3jlbtGs6EMX2sIKPZx5kYcvXSpfxi6N3sPvzJ9lNgM7Bbw+u4bHkfYh7Q5PraGB3WMXPqquITKp6Hb0Pj0vFbxw/sFWHY94gHg4s2eJHDdPESjiD7/ejtvsg6PEhII+jOinOtzXs4Z8oFXz6n82xs4RhmXggvgxdshiUAuMo3RetME7qEouOWsMe5oMJKJZkq/iGNT9ykoaYN4jBaPw755IVfHN0iE+mDgQO5dgFoCibiGgBjny1YGHb6uCjiPH5kiDB6/bgl5UVW4Xa6/bg+cg6c0Sp77P+Vbxh2v1bJUnC34mds4GzMUfchNelTqlMlonARBwnbkuRFcS8YyGyKFr6UPo0XhfEbPS9160eAaGSJNncAEjhL9pGAdMIVbHiK0nSzGhV8TsxLtXr9jDnnfbf41KPbIv6iuuUMI5gdcuuIzMCt2vv2UscEEQULnJRRS6a2ETOGTCNQRWXIR4emaWL/UUvSBqkAbvjAN+YQuWVjODFym8sFoPH40GhUECz2eQ4T2AaL9nv920BBD6fD9VqlafvdV1HLBZjV4JSqYS9vT1IkoSdnR1EIhGecg+Hwyy4omlhy7IwNzfHU+RUOSN/UGBcKaZpbU3TcPz4cdRqNbapmpubg9vtZnHP7u4u+6revDk2RH7qqadYaORyubC7u4tgMIjBYMBVw3A4jH6/z/ZclC3/4IMPot1uo16v8z5tbW3h6aef5kjZnZ0dHB4ecnLY9vY2NE3D0tISX7NYLIZ6vc4vGKQu13Wdq5yUKHV4eIjl5WVUq1UsLS2h1+vB5/Ox+IjM9uPxOCqVChKJBGKxGDqdDrLZLFMEyMGB7pWVlRUbxYCqzwcHB9y3VCphc3MTCwsL7B5BXN92u41Wq2WjnCQSCfh8PuYViwKlQCCAaDTKDgB0j4tRwFRR9vv97GtLzhEejwehUAjb29vsyEBuGKLKnu5r4pHTfU8zEM7nV1TJz5pOF8M6RN6p04zfWUUVP1MTK77UaF9tb9iCCIr2Q3z2xaoubed2ginxd4HWebvfpA9S22uWEPeFMBgN0R72ppX4yUDSGvRuayBuWZZNpStLMnRjhAZGtmopVYZ6+kDwkZTQ1vtwyYrNwmcwGotEh4Zui3isDtrwuabWWYVuDT19gD2tbHMDqPfbGBg6vta6yOClp4+5/TeHFVtFjIz3//PCN/CRzJhPPzIMlPtN/EvjMlR5PPQZlol8q4I/cG/ZVPfFbgP1QWcyqI77Ulzq141rtipssVPHyDRwtXqTp4bpHH1Zz6NrjEFSyOPDjUYBrykqrlZvchVVVVwodGv427KCF3wrOI9NmJbJYi36FxgLnEamgUuVHTyePIE3+u9CkWUUuw28+XkPXkqexp8dvMXnwKO4sVU/wHI4jTLGoSJ1vYMrnh4Lceg6tQqa7biqvRbKwS6KnToD04jmx41GAfXM/bb7oDXoomH0WLTH3xs9mDs3EVA1VHs6cv4YLlV2sDs3bzPrf7d2Cxdzi3ArMqKeccXRLSu41SpjK9C2VXwb/Q7K1hDVXotFSUNDR9voQx/62SEgqgWQb1VQCg5R77cZFLlkBTWzj6oytf+iqNGBZDfr7+kDdCzddlwWLOgwoVt2jv7YLWCGwAgWdNPgCFTNpaI97MHr9ti2ZZjG2HVCWF6ChL6pH1nnWCx51DbUhGlPYsM0jEXsS/Gz4m/uGFjPTrPj/RF+n+mlQsSCs8I5LMvimQhx/Bga+j1VVu9oXWWa5mdpIHFOsdFg5/Q4FKffnBUOmiqmSMlOpwNZntpUAeOpTOITAmPASj6XpHyn6opYraWT5ff72aaKpqEHgwEDERqQiSNIU8eWZTE3NBKJcNUsk8nwFO/u7i6azSZbXdH092g04uqUJEmc8V6v1/n4KQK12+2iWq1yNbrRaGA0GmFubo6Ts1RVZXeBwWDA2fP1ep3B5tzc+A2cpvr39/dx69YtdLtdtNttnmYmr1aqaFMFuFarYW5ujvmxIh2DXh729/fZZSCVSiEajbL6/0tf+hJbfO3t7UFVVSSTSXS7Xa7akaVSq9ViC69QKIRYLGaLOPX7/WycT4EKqVSKK6VEgyCawPz8PFMKTNNEKpXC7u4uAoEAQqEQVlZWEI/HMT8/j/39fezv7yMUCqFWq0HTNLz11ltIp9Pw+/341re+hW63i9OnT6PRaCAYDCKTyTAN4/z587h58yaDqnPnziEYDGJ/fx+BQICjZ6nySxX5WCzG/Gaq1FJVNRwO8/H6fD6mIKyvr6PVauH69esMjukZo9ALSt2iRl7FBDIJqDlV8mRPRfc10VBkWWawS4EcBIDFF0sRKDubcypfnJYXfwecvyN0fGKlGLBPTYkgXdyOeG7Ev4n7KMsynn322Q+cdZX4uTdLGXwXkYeGZaIx6vJARQNKTdZRH9gzyqm6ReszrXFueHcCTp3rndW3Z+rsPEDK6f6MgY/+5ozfhCTNVEEDwHb7kLfdGw3RGw1R6o0V1HR8tWHHBtwta5yrXu43eb3096FpHDkusosSIzB1Y4TioMGAnqI5e8YQw4kDADCe0h2ZBurDLr7f3LWtr2cOj0a7TvaHolR1YwTDNPBvhwd4p2lPgKJ9p/0yLBPNQRe7eu1IDOyGK4ctIQIWAPYm1mO0D3QMuVAWFxzRrLQ/4rUt9RoobM3h9YkdFPmtQvMg37Wnc73d2sOOUWfaA91XAc2PA0dfinYdCufmsFdHSV3BpUmMLF831YXDXt0WObvbKeKN7v6ReNM3rMqRZ4bOifi8XG7twxKcC6g542qB8bkbGCPb9gHYIlipOZOuLFjY71Zs1dbb9aXmUpR7Ssd6P23Wb8ftfk9m9r0DQP2h4ladHFQaDJ1A1imuEKs2onpYrLiSSIv6k8iEtgFMoyepv1gZImBEghbiTVJKFk3rExDVNA1+/3j6gwY16kOAudPpoNFooFarodlsQpZlxGIxPPTQQ1haWmIfVKqg0QAPjIUztBw5DZBYiXicw+EQjUaDv8vn89jY2LDZHFFalCSNraio0ttsNlGtVnHr1i1omob19XUEAgH0ej2e1t/e3sZbb72Fer2OfD6Pg4MDFAoFeL1e9Pt9LC8vI51OY3Nzk8VDXq8XN27cYHEaMDarF2kKdJ0WFhYQiUQYhBEIJrDWaDQYREejUUQiEQZk5De6sbHBywLg5CfxpUOMUwXAHOR4PI6rV6/C6/Uin8+jWq2yOwS9+CQSCbhcLuzs7GBzc5NpIeTuQJSO4XCIUCjE1lSNRoOBO6VSud1u9qj1eDzMVSZRFb2EiZQHt9vN9zrRXqgfcWap4krT8ZI0jsglEEnBF1QlFN0yaJodgO3ZoJcmep7oX+eUOYFZsueiFzi6l50VV9F7VVT0i02sqhLIvZ2Yyrmc+DyKvyniW/us46D+IjfeCWp/1N5fmxU9eaNRmNFzdpsVNXov27qXJtr3vFe7l+jLWYPqvRzXrPXOivm83Xrv5bzcC0ARuZLU/qJw4a6X/938d36ovudLmzN6zo4wfbN8/a639Uf5N458d7sY2ln3wb1EqJIl2d20Wdf2XiJr7yVC9Yd9lv66tjv+motVECdnjAZmmtacxVudNf0vrpfEHrqus18kVZTob8FgENlsFouLi2ygHgqN+TckmKHKHPEM+/0+QqEQgxJd11Eul7G5uYlCoYBOp8PAh6JUSShE1chGowHTNNFqtbC/v49Lly7h6tWr6HQ6eOqpp/Dyyy8jmUwim83yFHK9XsfW1haD5Gg0yjxFMuon31Y65mw2i+eeew7r6+tIpVIoFAooFArs+UogTlEUrK2t4eTJk+wJu7W1hY2NDSiKgtOnT+Pll1/Gk08+iQcffBCnTp3ChQsXOMVpY2MD+XwewHha//9j702jJLnO68Aba0bu+157Ve+NXtANoAmABCFSohaSEkV7yCOfsWStNkeSLZnSWCNb4+MZH3OO7dFIR/IRRY3k8WjfbI1oHlFDwoQIEADRaLDRC9BLdXVV15ZZmVm57xExP6K+r15EZTcaGs6PMfTO6dNVWREZES9exLvv++69XyAQwKOPPoqNjQ0cPXqUr/vevXsYDAbQdR0LCwsIhUIIBoNYXl7GtWvXEIlEkEql4Pf7cePGDQwGA65YBQDlchm1Wg3VapWpFTMzM7wo8fv9GI1GmJmZwWg0Qj6fRyaTQbVa5aIE2WyWFxuU9pdlGbu7uxgMBizWunr1KsbjMa5fv47V1VUeh4qisNKeeLHEK83n8/joRz/KCxJN03Do0CF0u13Mzc0BAKf4x+Mx4vE4lpaW2BWBxlkmk8HU1BRzYcmSiqLDxMP1+/0cxSW+cbfbZT4vlXU9fvw4W53RooIAMNlTjUYj5pzS8+b3+11cb6rMJgJcTdN4P5GnSos8Eh/SmBNLJxOHmJ7hSUBVBLAEFMWqXV7QKm4nZmfERa8ItL28Z/qcmrhoFt1D3s1gdRKXzfszpUUnlQ/NBGNcqlPc51mBq0mNhDrET5UlGYqsTFTkE0eOUuCKrCBmhJAURE+i8MfbKB1N50xqalExT42U5fT/mdQCjidmEDNC/D3Ex/Sq0HVFQ8IfRiGc5HOl/yedF6WIScRzOjmPI/EpxIwQX/MP7qniqewq9enj6cNIBaJI+MN8Hr+Yc5T8k/h8pM6nPjidnMenC88gFYgecBn4s8T7XL+HfQF8svAEzqcP8TnTMd6XPXHgWN7ytvT/jxffe2Bbcg/Ypzdo+PbcGfzzwrPMT6Vj/WnimQP7/3DhKfxZ4n0HSvL+dOHgth/Z4zJTH+qKhk8UnsDPF97P/UJ98RcJ51zpc0mSkAnG8GPFp7kPaByInrbUvOVb6XifLjzD50jjia5TLLt6MjGLgG7w/pPGDzXaz/u8eh0ZxOZ91sVjTXq277ff230+6W9eatj9tgEmizy9LgkPam/7Nvdy3SbRAbwREW8aEABHbsjcXpyERMEHRVOJ66coCvMOydAd2HcLoImKokE0MYsG5pRuFiNOZJklRjKJq0oRSprs6fwJsK+srGB5eRlTU1NsTZXP51EoFFAsFtlxgK6NKjDNzc0hnU5Dlh0Vf6VSwcrKCtbW1phOMDs7i0KhwNcbj8eRyWQ4GksKeSpbShFNqmakaRpSqRQKhQKeeeYZLC0tMaeVuKZ+vx93797F9PQ0Hn/8cTSbTVQqFRiGgWq1ikgkglqthlarxb6f7Xabt9E0jcER8YMpCkfcWqJgUMQ7kUjw9iSqA5yoNhntZ7NZNJtNmKaJTqfDIIwWIZqmoVAoIJVKIZlMotFo8LlRyVy6p+QQQBFhOiZZmwHgyCgJl2gcdjqOEplssuLxOEc0B4MBdnZ2XMJDinjats3RXRIqUQS32+0iGo0iFouh2WxC0zSO7FLEljiqtJAjMZpILyAgKTpoEHAVnwkCbARW6ZkUreZoXBPlRCzFSj8TYBU/8/4T0/f0zwtqJ0VVCVCL7ga0vQg2RfApZlboHUPH8vLY363Nr/ng13yuPtcVjT/X5P3JN+wLIOIL3DfqLTZFVqBI7vd6zAgh6Q8jFYiyQEtTVIR1Px7xiIM0RYVPdZwCKMUvSxJCmoGUL8L7h31+TIVTOBdfxNnUIu8f0A2EdT8K4SR8e4BWkWQsxvJ4MrzosvY5m1rEY5EFPJ05jpTPAYASJPyUuoSTkRmkDOczKtd6NFR0lQ+N+AKYCabxVHgR+YADQE5H5/CR/DnkAnGX6Oh78ufx8fx5nEstsYNCxxzgB4xDmAokEd9T7V8elvHv088irUWQ8IcR2QN1h7QEfts4hePh/b76slTHnZPHUAwlXcKxTxeewS+Mk64+aI57+G+VJtJGBLJwb86llvDoYskleBmMRyjAQFD2cX9T3xaUkOu6sqE48r44NEV1mbrriobDY81l3eTXfAioPmRDcU7N+1QNBTmA033LRdEI6Abm/S1MR9L8WcwIIQkNBb3r4tKGdD+eHEguo/65aBZHpJBrLNuwEZM0RG2Zx9bYMveEXyMEdIM/V2UFhqIjZu+Lexp7Vb7SatglMqPSxaLNlSzJUBUFBvb5lmTQn9TDe8Ijaa+/hwgoPpezhiormIlkENDd5VbpWN6iABIkqJIyUXUvbus8XzoC6v69HVsmCxNdmgFpvyyrFxirsnJAIOUVTUmSxN/hPR9vmWVg790hBhv2hF/e98mD2gMFVsQlE1Ns1IgjJ3LLxAmKUvliZNayLDaNJ+9J4uFRSpM4dN1uF5ZlMYikyTUSiTA4pYmabLFEwRZFWLe2thAIBJDP5xEMBlmIUqlUWJRD10lg9OjRoxiPx9jY2GArqdFohLm5OSiKU82IopBUZalarbJqPZvNIp1Oc6Sr0WhgZWUFoVCIOZ3kfkDXurOzw7QAy7I44pbJZFjIk8/nceTIERYI7ezsMIAjURRVzcpms/D5fDh+/DjOnj2LZrOJl156CbVajVXoX/3qV5mjORqNMDs7y96rwWCQKzWlUilsbGywl6tlWThx4gRWV1cRCASg6zpqtRqCwSCmp6exvb0NVVWRTCaZfhAKhSDLMovQ3njjDWSzWQQCAVQqFZw/fx71eh2RSAQvvvgiIpEICoUCdF1nMJrNZiHLMkeJCeg1m01Eo1FEIhHE43G8+OKLqFarOHXqFLLZLI+tQ4cOsaVYsVjksba+vo7FxUWUSiWcOnUKm5ubvNgolUrs0kCpeQLrRFuwLIuLUCiKgna7zfQK8rSt1+s4efIk3ydyGggEAggEAiiVSrAsizMNgUCAAeJgsE9OJ19dssYKhUL8XB3gB+6BWgLVZFclPmPkK0yiMlGU5HUGoP28dnbiApIaAUovWBWBLX0n/U6LWAKh4mciKBb/Tt9Nf6f3wLtZYCVy7mRJ3iu1OnL1F+BMpFRpCYBL8dwdDRCU3VE60zIxtN18zXq/DXOvUhJN/DEjiIDiwxfKl12pzpE5hqHqqHQb+xY2kNAa9dA3Ry7+4Xqrgvao7+IEdod9ZPxR3G2UeH/LtrFc38J6u+oSd7xeWcZSrIDb9U22eLrR3MCnzFWcTSwgoYewhjK2+ru4WlvFdCSNe80d3n9gjrDSLqGmt7HdcYRAX6/ewtAcYT6aQ7lT523/09ZFrph1LrWE9VYFK80S/mV3F3OhDIr+BCrdBi5Vl/ED9m3MRbOo9Vr4wcKT+M3Nr+Ev6tfxny0LPlXDYjCHareJL5bfwMLWGDORjEs49m82n8e/D0RR6TbwycIT+P3NV7DZqeGxdhX/Y+Zp/KGkctr7tcptHG74YNkWjidmcL22hrFl4neab+AHI6dxSdVZONQd9pGSdNd1ldq7iGoBjMwxX58qKxiaI/ylXHelwXujAZZ8GXxh9/X9aKPmw7VRFWe0IvNPw7oftV4LN/sRV3/X+228MC7hB8IatJozDrOBGNaaZbzmAy5v7qfy7zZK+Ioe4epjMB0A2LVNlCUTmqzuWTupaA26eDMaQHfoOB4MxkOYloW8L45XzSqPT11RsdYsI6oFXCKz3miAH8o8jl/Z+CrvL0kSPpI6jd/uvClUtbJR67UgSRJ6owECusF9+3rtDk7F53B1tIbB2BF71fttJAMRF+2gNxogH0rws0T7n08t4aXKjQNUgI/nH8OfbL3Kv5uWBVmRXdXgRuYYdbPtUu0752vBttwCLXqnmpZ1YFv6mwgsJ32HZVsYWZOFX6J2i4RflmQ9dHDhbX1Wvb+L4iox/TbJNkbcX4yakDURCTlokhEFH6TgF+2d6O8AOD0JwAWExfKbpCKndCcBLdu2EQ6HEQ6HOepEwLbRaDAvlFL2x44dw8mTJ1kMQxHcer2Oe/ccQnWxWMTc3BxisRgSiQSKxSJ7aJI/6Gg0QjabRTab5XQyXRNNsGSvFYlEXGU5NU1jSgKB+EKhgNnZWeZUHjlyhKkSsiyj3W5DVVVks1nMzs7izJkzSKfTSCQSSCQSiMfjkCQJ169fx/b2NkajEaanp5lf+sYbb3BEcTweo1arodlswjAMjEYjVt5TVJyAnCzLXDVL5J0qisIcVUrBG4aBI0eOoNfrYW5ujr1gUyknpUQLD6pUNhgMcOXKFfbA7Xa7sG0b8Xjc5QwBgP1hDcNgqzO6HxTZnZmZYWoC2WSNRiNUq1X0ej2sra1hbW2NxzxtRyp9EjxRIQYS3w2HQ1SrVWxsbDAthiLuFMUklf9gMOBxTelzSs0T0CZrNRIO0rNHY4POT8xOiCl2MbVu2zZ7y5LozxtVpai06NsqerB6/VjFCKwXFIk/e7MuIgdVjKbe7zvutwqfJO582BX7f61NkqSJJRAnTQ5eZXJ72MPWuOnapxBOYnOw64q+UUlPXfBfLbV3sdLYxsgauyIstC35TAIOb6/R72C332ZeX7XbhDjBy6YAACAASURBVF/zoTHouEzT56JZ3G2UXKUv632nlObIHLtS5gRUk4EIA97usI+ROcaV+iq+UbnDxwr7Atju7LqslFqDrqM67zddQihd0bDerrhKXxKQkyWZ+ZWmZaI97OHN+jqDR9u2kQ8lUOk5ZWR/c4/LWe02Ue+3Ue7U2U90ZDp9R9601FJ7QPWpzDHmZw7GQwzNET5Te8XFz6QysH+WeB+u1xynGMu2UGrv4v9oXeFFymA8xGIsjz9pXHNZhR2OF3FzdwNz0Sz34dAc4YO5U7jW3WQ6AwB8Z+4svrD9OqbCKb6PpfYuXtm5gf+IMvdhrdfCd+fP4Q/1jqvc6lOZY3ix/CZ+tR9lzuVas4y5aBZX7KbrWOfTh3Bx5xY+kj/HC7PeaID/c/Ml/E7zCh+rNxrgmexJXNZGOBwv8mLGsi28snMD26MGPwutQReH40XcqG+4jvXjxffiVza+Ck1ReX/TMvEHm69gICzETMtk8JkNxfkaSED4xu7dA0r5arfpiuLmQwlstWtQ5H2BlGVb+PrOzQOlWb1AlbadpManv3nfpV7wyfPnnneyd1txG+//9LO4rdi8mTPbtjkq/LDv6QeWW7Vt2xajpd6TngRGaSIjjl2v1+N/m5ubaDabWFlZQafTYe4cpXopQkLfQ1xAmtAIoJqmyd6q+XyeVfXdbpejX4ATWQoGgzxxkW/qYDBg66fRyLFP6PV6CAaDyGazCIfDDH5lWcby8jLK5TIkSUI6ncb09DRHpCRJ4tKodO6ULgbAKWGaiEm0BDignYA0RbooFQw4YKNcLmN1dRWFQoGFYxTV2t7eRrvd5jT7/Pw8jh49ikajgfX1ddi2zX6fR44cga7r2NjYYEsty7Jw7NgxbG5uIhgMYmtrC61WCx/96Eeh6zreeOMNjuIuLi5iY2MD6XQaS0tLqNUcdSaJqAjEA8C1a9ewvr6OpaUlfOELX8CxY8e4zCsAhMNhXLlyBWfOnGG6AzkukIVWPB7HzMwMXzN5nfp8Pvzqr/4qXxd5mx4+fBjvec97kEql8NprryEejyORSOAzn/kMcrkcPvaxj8E0TaysrGA8HmNpaQmVSgW6ruOFF17A4cOHUSgUkE6n0Ww2cenSJezs7ODq1atcCOLw4cN44oknEI/HGaxHo1Hcu3cPiqLg8uXLCIfDzIsulUqQJAnPPPMMR6+JQmDbNpaWlhjsNhoNdoEg0Eugf2dnB+l0mq9J9B8WhYVEqRDdAWghQXQUEgSSEK7b7TIFRQSgAPg7qRmG4RJYehX9IkAU0/X0mZcyIPJcxfeQNyJL+4quAbIss6jRu6im6K9lWfjpn/7pdxVi/Ztyq3/T/qb9Tfv/c/trlVudRJgVI6nUxGgKbSNOat5JSxRsEd+PJkqRO0oRIAKoADjiRGCSSo8SH488NolHads2R5yCwSDS6TQKhQLbU5HZP6XDqZwpTYTEOwwGg6jX67h16xYuXbqEq1evot1uM9eRRE/1eh2NRoNFPiRImpqaYnsq8nwlZXssFkO9XsfGxgYLolqtFprNJhTFqcZFnqgUGaVzpgg00Qo6nQ6KxSKOHj2KxcVFnDp1CrFYDHfu3GExWqfTQSqVwvLyMl5++WX2bs1kMohEIrh58yYajQZmZ2dx9OhRFgsdOnQIlUqF+1ikP4ip2Ugkgk6nw9HpnZ0dtq6i+x4Oh2EYBkdYiUdsGAaDH/IRpXunqioqlQpzkH0+H7s8UGGHWq3GfqWtVgvnzp1j8L++vs4lUQHwYoQWTmQPRSl44omOx2OubkY8ZBK/kcgpHo8zDYHacDjkiKGu67wYGY/HaLfbzEklcEXjjZ6BYDDIUVRykhCt14jyITpneJ9Fb1RVfGboH4nJvGIqL0eVIq7APtj08lu97wHv+8TLfReB7iRBlBf8TrKyEn+mRfT9vu/d1CZFLLyfUTRykpDHKwShIgOiiIciMGI0SvxuMQJJUaRJog9v6cuwLwBNUV18TeL3ecVUmWAMiqy4Sk9S6n/SeXlbMhA5cK7iNXjPS5ZknEst8Wd0PZOO5eUZElfxZGL2wLbeMplnU4tIBiKu+0ACt0l96OUJUonQSYIe7zj4vsIFnE0tuq6X/Gm9/ZIKRHE4XnSVIKV7O6kPRKEeAHyq+F4uo+o91s8X3u/a9ltzp/F05rirtOuZ1AKAyWI/b6nT08l5/Fb62Yn3VhxbgFNO+DtzZ/HtwnVRP/+c57zEv1GjcUmlZ8XmvQdT4RQCuuHqbxork0rpAgdLyQL741xs3nEwqQzwpHK/gPMc3q8i1cO8T7wVqh7UJuHLB7W39VkVv/h+qTWRX+biL+xNYGRWTob3ZBMVCoU4WkOp/0AgwBWsKKVJ4iHyZiXFMk12okE7TebEpez1evy9NOnruo5IJAJN07C2tsZKdIosktXT9vY2dnZ2cPPmTWxtbTFIIq4gRWZJ/BMOhzE1NcUlXDOZDLLZLHK5HIMROhZNqK1WC6urq7h58yaLjwzDQDqdhmVZiMViSKfTmJmZYYuoQCDAhvKHDzs1k9vtNkzTxM7ODhv2K4rCCvvNzU3cvXsX4XAYly9fRqlUgqIoGA6HqFQqWFtbY/5uNBrldD85JVAEj1LkBNDIoov4w+Stura2xpFjRVFQKpU4itxoNJBOpxkgz8zMMJ2g3W4jk8lwRJ2A2e7uLjKZDO7du4fnnnsOxWIRkuSUOn3iiSeYflGpVLifxuMxfv3Xfx1HjzovjxdeeAFHjx7lsUPeqNVqlYVttm1zdLZWq/G2MzMzmJ+fRyQSgd/vh67ryOfzzJsl26tYLIZKpcJ0g1QqhWPHjmF7e5u9WcvlMnK5HFeuSiaT0HUdw+EQ0WiUFz+AOx3u9/s5Ok1lekn5T16p4/GYAZ3oykH9KFa5Ims1sZyxmMoXF4ris03fB7g5p15wKGZjRKDptZeiBSXRGsSXGG0rLoioeVP/9Lv4/RcuXHjX+qx639eSdLA0omVbLq4qtb9deBx3+1UWpfhUHUNzjGIwCdM22QfU0HQYqg5LsqHJKvrjoVP3XNXwntQRVIZNtmoK6n7MhjOwJCcFODRHSAYiOB6dhiXb7MuqKc4YeCp5BE2zxx6h2UAMxVASpwPTSAaiuNepIBWIohhI4p+FzuBEsIC/at0FAByLTeNkZBppNYyoP4zNbg2LsTweic7iu2JHofoDWO9UMBfNouhP4vsiJ6DrAdxobwFwJu2wL4DPRd+DjaAPG90qkoEIYr4gfj72OKqKjZt726YDUeQCcRzx59CXTTQGHUxH0jgfW8QHIkuwfTq2u7uYiWRwJJDHdweXsGH3oKgKGoMOns2exM8FT6LhN9C0++iNBng8fRh/W5tBQ1fQsQdo7fXhT4RP4hfTEXzZVuHTdDQHXUxH0vid4Hk8JzcdA/q9e3k+Motf0A/hj3urjlk9bPg1Hz6WO4etcRP9vTS2LMlYGVZxNjSD8ri1781qdvGxzKNYGVahKSp6exWXhuYYPxt5FH/YvMZpeNN2KlKVew0+vqao+JXM+1GUA/hy27kvYV8AK+M6/lb0BL7eWeOxUR428ZHMWfyk0cF/6DYxNMfwqTqq4zZ+SyvinwnHqg5aeCx1CG+2N+BTNPTHQ/g1H/515hmEoOClwRbGlglZklHuNfCPjSx+ubFvlSVLMh5NLeIRfwH3hrvMld7s1/DzxhH8252vuypIhX1+vNrbxJg0MYqGbCiOTyRO443uFkzbgk/VocgyDkcKuNXe4m19qo6n08cgKRLa4wFMy6E9jiwTQc1AdzTgY6mKwuBVkiSmU0iShB8pPIU/2rnEHq30bPtUDSPThA3nnacrGvKhOHrjIafzlT2esdhkSUJQNw58bmE/PS/2F2fO4K6upckqIGbGJOfZsW3btZ0iK1AF+g99l6oosG23F+tfy2dVbA/ignmjKl5hxiSPVqoaRdtRVR/iN4r+mpTWpKgq8e2Ig0pAkYCEbdsMaun4FNWiz2niJjHN7u4uer0earUaq8zz+TxzJTVNQzweRzwe5+ga9QUBagIs4/EYjUaDAe/t27dx48YNrK2todPpoFKpYGNjAzdv3sRbb72FtbU1BAIBJJNJ5p7m83nMz89jbm4Ox44dw/T0NA4fPoxisQjDMBAKhTA9Pc0eo+FwmFPAsiwjHo/DMAzk83kYhoFisYh+v4/l5WUcOXKEgbtlWexq0Gq1kEgkEI1GMbdXUWp7exvj8ZiFXqSsJ7oFKfwJMJGIh4BPoVBgsElRTcMwGJQRqKYUOC1ixEVAs9lkKgU5NYRCIbTbbdRqNR539XodkiSx4p6AHUWWSSy1s7ODnZ0d5iCT6b4Y3aUKWhSxV1XVFX0UF2/E74xGoxwFpoi9oijo9/vsckDFKMjNgO5Bp9PhKC15pZKFVa/XY+oBVRvzpskJoIlqf4q2Ene62+0yJUd0FyBuKp2LaJVFEVTRysorwqI26Zy8i1caO6KS38t5FatoiVxeL89VvG4vKBYjsO+2RqDUu8CQIB24JwC4hKLY/nT7NfytxGn+XZacSk4xLegSQkV8AZyLL6I56DKAVWUFZ+LzuFS/g5Ig2FFkGX1z5CoJWu93sNIpYcGf5fKfQc1Axh/FnX4Z5d6+f+r50By+zT+Pi+27uNVxgOJT0SV8WJ/BF+UGPj9c423zagSPynFsjZu413OM7TN6FCfVBK6OaygPne/N6jEU1Qhu211sCBzds4kF/GL4MfxU73W8XnP4rTOBNE4Givi98RqudvfN98+F5/DxwGG81rqLxtAB1ik9ghkljDWrg8pw/3sbZg8SJESV/UjbG601fM6+hx8bJ3EqPAMAuNer4Jfbl/HZkIKfDO3fh98aLuMH2338PX2R71u138Lf61/Gb+knkDT2o2j/sXQJn+pdwseyjyLudyJw/fEQf1m7hm+NH4exF10LaD74FA2fGIVcPExD1bE82kV/POR7rsoKwj4/vogqWoN9v1hVUZD3xTE2TY7sjcwxftfexn+TKAn2T84YfG/f/XzqigoTNmTZRmfkzNva3vfcsfcj5oAz5ua0GJqDLpp7vFsA+Nedy/iRs/vVvizbgg0biYjT57RQC+yVBjZhMzB3wKGFgSS5XRI0H34h9gS6o4FLdPRs+BCe6+7zg8eWibFloqjFoO4BM2o3O5s4YuRc1zAYjzAbSMOn7mcUDFVHIZhAf7xfCEKSJPxQ/kn8xtbXXMLJiC+A2UgGzUGXz0uVFST9YVT7LQa1lm2hNehiMZZ3ZR5G5piFXF7eqlgals6B7huBSgKfY8t0gWoCsyL4dPipEizbXfjlnbYHclYty9FviTzVSRMATViTrG1M00Sv12MFfrvdxsaG86CLqXaqWkRpeAIElmWhUqlwap4ij950PXHyKKVNQh2q9052RJRmnZ2d5Q6mc19eXkav18Pu7i52dna4XGk67VhsJBIJhMNhJJNJBAIBBt6Usr19+zaazSbW1tbQbDaxsLAAVVURj8exuLjIqWviC5J7APmRbmxssDfnkSNHGBCLwEGSJAZaxDkkniRRA0zT5OIH/X4fu7u7fBzLsvCFL3yB/VG3trZQKpUQCoXwvve9D5VKBQsLC+h0OshkMhwRLpVKeOSRR9BsNlGtVjEzM8OVsAzD4IILxCd+/vnnucLT1tYWbt26hcceewyNRgOLi4vQdR3T09McmaTCA8QnrVarDNpItT4ajbC2toY//uM/Ri6Xw9bWFi9OotEovuu7vgutVos5xYPBAJ/73Ofw/ve/H1euXMHFixdx/vx56LqOqakp5lffuXMHn/zkJzmy6ff78fnPfx6WZeHLX/4yVFXFsWPHkM1mcfjwYXYlmJ2dZTEe9ScAvPbaa1hdXYWmaZibm0OpVEKn00Eul8NwOORI78bGBmKxGAPh06dPo9froV6vo9vtYmtrC5qmIRqNsjCLxjqJA4kDTa4BxB0mMEe2V1QFThSAESgUo6QUNSUOtfg3omgQeBcBsSi8FMGoGDGl7US1vvf9I0ZjxcWs+Nkk8ZW4Hf0uSRJ+8id/8l2FWBWtYHs5wGLz/o2iqpOiq1TKkhqlDjOBKCu5SYTjVRvTd1u2zZMZCX4S/rBLcQ040RgxylMIJ7HTbcBQdRYCkQAloBsu4/OwL4DuaICkP8xqdjovEj89qE2FUyh164j4AgdM4b39ci61hNerdxDUDT4vOhZdn9i8/XIyMYs77RJSRsRVQhTAgesK6X74VA0zgTReryy7+vDZ7En8l9JV1/5UZlTcvz3s4UO5MwcM/yeNg5PxWRzT0/jdzZe5X9ZbFXwwdwpf2n6Dt/1Q7gxWBjuoDdpcjIH6YNK9/ZbsI3iudMXVh+v9Kj4ePYl/t/FVAPsCq58vvB//cvMrvO2PFZ/GtVENflnD/719GQD42s+kFlgoR+2HC0/hNzZf5N+nwin8T8Yj+N+suweKAxTCSZfTwrfnzkCGhI49wvN7fftzhffjX21+ZeK99X72nsxRvFR+i8ep2LzPkqY4tlkJXwjrLWcxRQKtSc+Stz1oXHvHAbVJ94YcDsRGllT0PL6T9wm/px/iGsQAg/gd9+OsPtC6atIXixOFGCXx2sSI0RJqooekKAARJx2aJMkIn8AupchVVeXKPvTdVJKVonx0jhSJIpAryzLy+TxvR+CEbIBmZ2fRarVQrVah6zqOHDni8qOUJAm1Wo35lsSnJKBA5Vzz+Tx7nQYCAQbL5JVKPFeykKKoJqnwKcqo6zoSiQSnSSn17/f7WaV/+fJl7OzsYH5+HvF4HLu7js0KRX8Nw8D8/DyGwyFKpRIGgwEuXLgAVVW5jOju7i6DZPK0pQWBLMuoVCpc6tXn87H3pyRJLLBqNBoIBAIsAKNoa6vVQqlUwtTUlIuacPToUdTrdUSjUXQ6HQSDQXS7XQSDQQZdoVCIvWUrlQoKhQLu3bvHpUqpuhQtFEicJlZimp6eZioERUHJp1aWnaIS5XKZraYIIJNfLVlDibxQsZoTAU3Ro5Wi9yLYBsAlZol/SjSY4XDI97lWq6Hb7WJ3dxej0YhL+gJOZbVoNArbdkoD0/0SnzN6nmiRQxkJitDS80DAVwSWdE3is0jXDuwDQtGKjv7ujXbeD4QSQL2fawA1Apvii8wbRaZzEd9DdH/ezZzVdxK1ICD2MNWPBuMhfKrushy6uesEHu43MYmTJk3s3glzUttsOannlhA5IwDgrdBDDgOi7RKd19sBVcCxydIU9aGqF71WuQ1Zkl3nRceaVNrW267WVhHQjQNAdVJrD3vwqRoDVfEYXqB6v/2Bh6tMRfefgCoABlEiUKXvOxwvuqqGUR88zL19rXIb2VCcgSoAvFh+c+K2n914AU9njjNQBfav3QtUJ7X1VgUw7l/FSmx/sf0NfGfuLANVAPhXm18B8HD39qXyWwBwAKhOarRApD4G9qtnPUy1qocZ19426d7czz1AXDi+k/cJZ9cf4hrEIOjDtLd9m4upffpfBKCizQ01iqiSjRSpjynCSuIV+rvP5+Pyms1mk7l83W4XrVaLzd5J2Q+A05rkg0pengDYg5XAiZj2bLVabFpPFYTa7TbK5TJKpRJ6vR6+4zu+A5/4xCfw4Q9/GN/2bd/GXp4URSMj/2azyV6no9EIwWAQ8XgcyWSSjfW3trawu7vL0Tbqn1arhfF4jHv37uGll17Czs4OfD4f8vk8OxzUajVsbm6i0WigXq9jOByi2Wyi3++z0Kvddgbt+vo6vvKVr+DixYvY2dlhjuqdO3fwyiuv4Etf+hKD+mKx6IT7/X584AMfwLPPPotkMomrV6+iWq3irbfewurqKi8Ujh49Cr/fj2q1ilAoxFFVRVGQyWT4HhEHl7iQ9+7dw/LyMhKJBGRZxvb2NoN76nfyJKX94/E4FzcQxT4kcJuZmUEoFEKz2cR4PMalS5dQrVbx6KOPwufzYXFxkUHKtWvXEAqF2D4qmUxieXmZo+HEuSUwb5omfD4fOx0QNSWfzzNo73Q6GAwGTA/RdR3FYpFpEvV6nX1Yi8Ui7t69y89RKpXC/Pw8908ul0MikUAmk4Esy7h79y6DWVVVkcvlmNbQarUQDoeh6zrq9Tp78lLZ30bDsWEhmzeKapK7AJW/pUwEAWlR2S+CPQKzBwj0e9FTkaNK0U7ROUR8F4j70v703WLElT4TuauiYIrOhYSZ3sUwvZu8IPfd2iYtArx9QqlRr8AJAKZDblFK2BeAJisuAYi3ApDYyJCcGgk9xHTk/Vo2FHe4r8J50c+ixRSwLygRhVckqJkkLvGKUhZjeUiQDnzvpEbpbLE6F1Wt8gp2xO3F8xqMRxMrEnkB0bnUErqjAX8/AHxv/jEAk++X996SAGqSYMbbLx/MncLOoOG6tySWejpz3LVtSPejZw7xePowf0ZiIxI/iW1n7AZJH8qdwceiJ1hUBYCLP7xgVlzb/nThGZzUEpiP7qfRqe+/r3DhwLHeGu+6fv+x4tP4zPiWqw+pKZ5+OZmYxfJgx3Vd1B+izRa1gEdgRZmHSX0w9CwG/XtUBPG5oTF7P/HTJDHWxIW+ByjS+1Ac97Sfd3wqssObFUVaIv3K2w5QigR63De7PRRY9aqLKUIyia8G4ED0hCI83W6XJ3uaDIF9PprIXyV/TbHylVhFioQkNLE2m01sb2/j3r172Nra4nSnz+dDIpFALpfD9PQ0p5qJD9toNDjFmkqlsLi4yBFdSZI4wnr69GkcP34cJ06cwIULF3Dq1CmOqBEQIBN98hudnZ1FNpvldG0oFGI7rng8jsFggEwmg/Pnz+OJJ57gY8zOzjJXst1uY21tDY1GA9VqFZcuXcL29jYLvK5evYput4t4PI5cLofZ2VkeKNFoFOl0GsFgkF0ByGh/enoa4XAYN27cwKlTp/D93//9bBdFKfZ4PM6uAcFgkDm+sVjMxS8m5wOK4JEbQqfTwdbWFlMEqMytJElcSpcEY7ZtI51O830Xo2WDwQB+v5/HFi2OqPgAlbYlPi1F323bZirF9PQ0pqen2QVidnaWCzoQ19S2bRZcEX1jZmaGz6vX68G2bS4GQIstqlpFCzcq49tsNtkxQtd1jrzTYorGIVE8UqkUEokEVFVFoVBgp4dut4tUKsWiNKIB6LqOZrPJAJn4wl5eKLAfDRZfJiQYFIGqNxpJEUovsKXn1ftS8tpfiWp/+j4C0uL24rtDbPc7r0nHFptYuODd2iaBda9SmEQYQ3Pk4RBqeMqY4d8pmpj2R10RSNq/3KnzJKsrGpcrFSNAtV4LCX8YrUGXAetcNLtXWUt37V9q78Kv6q4ID/mcltq7DAwzwRhMy0TBk3pdbzleqLVei5X3Ad1ASPfjZGSGAUXCH8ZyfQu5YByl9j7Q0RUNId2PfDDBIIK8aA/FCliub/G2lW4DqUAUm60qV1rSFBUh3Y+0P8Iqbp+qY71VwdNpJ+V9Pn0IALik62wkw/1yOjmP1yq3kfZHXRHMP916Fd+bfwxDc8QA8aeK78N35s7C0HSXQv2L29/Ah3JnYNkW+9U6ApwEYnrQVZLzS9tvIO1z39ubu47n6Avl63xvFFlBe9jDk6EF9oQFwAb936jccZXNfTpzHE/4iq5StV/c/gY+1nNHbF+vLONsahHH1JirdO3/uvk8jo91rDS2edvl+hYWY3lXFDgViOL7ChdwTkvx8cO+AD678QKyutOHYlngmBFCTAu6zvVqbRXv9c+6rqvadTxxv7D9OveBpqjwaz58OHbCVUaWMg/fqNxhECpJEkK6H0+ljjBY1BQVvdEAWX/MlQ2gMStGO8XFpJj9oOdOzDLpisYiKxGE2rZ94Fmk/cjPl5ppmdA8NIJJqfr7AVjbtpkbLzZ673sXTu8E1D6QBjAJgE5S/NL/IoAVhRqUfiRTebIKou3Ik5Q8NgkARSIR3p++j/5RmpNU1GTB0+12GeRR9IiABE36vV6Po5wAWLA0GAxw8+ZNFmYlk0mOyFHq37Zt3LhxA1tbWyiXy9A0jdX5hUIB0WiUU+k00QcCAaYbEEAIBAIMCsngnkRExWIR4XAYwWAQiUQC4/EY9Xod9Xod8/PzCAaDHEU8efIkR6cohU4CNOqH7e1t3Lp1C6urq3j88cextLSETqeDxcVFhMNhrKys4NatW3j88cdx9+5dmKaJD37wg7h69Sri8ThmZ2dRLpcxOzuLu3fvcp17ikJStI6i1STUsm0byWQSkiRxFScy0o9Go1BVFcGg8xJtNpvIZDLo9/tsyUXR+Wg0CkVR2Kjftm2cP38ef/7nf85p8U7HETYsLy9z+dR4PI52uw1FUTA7Owufz4eXXnoJ6+vrKBaLXPQhEokgGo1yxP/GjRsoFArML04kEmg2m0gkErxgGgwGiEajrJinBRU5KFCFM7K3SqfTXBWNXBfomra3tzE3N4dUKoVut4vFxUWMx2P4/X7mJ9O5kOUVUSEILIdCIQb6NO6or8jKi+gqIk9bfGYJsFPfi1ZwxFkV6RBUPY7Ap/huECkBAHgBKNKGRDDpfbd4t6F9RSqC+G4S96Hr9wLfd0ujSUGccCTJUe6OPVw2WZJhaDq6w77rfX8mMY+Lw31ARkpyeW8yJBAZM0LIB+K42yqzcEpVFCyEsmibfShBmSfkqXAKMS0Iy7ZZGNMcdlEMJvGB4AJe7m/gcnUFqUAECS2EhBbCbW2beYWPpw+joEbw1cZNFuEU/Al8d/QEWhijE5zBn2+9BgD4TP5bkBvb+A1/CXd6TqWl6WAKP+o7jM/bZax3ne9UZQUnE7NY9KUgSxJXZQrpBh6PLuJ2v4x7bSfaVwwm8V3BJfxf7ZsuXuL35M9jVg7g96Q3cKvl9FkxlMTPGifwu/Y2Xmw76eoPp0/jfXYYn0cV89EcNnrOOTwWmsPjiOCv7F1csRzhy2pnB5lgDJ+PFfGXgZP49PZzAJyo8sXOKv5d9lvwO/YWXiy/iV8rv4K0P4qbZ2fw5Jt1rI0cc4zVFwAAIABJREFUikEhnMT17gY+lDuD1/dcElRFgSarKPoSuCdXMDQtqLKCxVge365P446xjUbfeZeGfQEcMXJY16t8b03LREj34+aw4uLzBnQDj8YW8GrtNn+mKyqSih9T0FnI1NtT7qd8fUSNIB8rZoSgSDJOjnUej61hD2FfAH/343X8+u/P4mrNmbN9qo5nAwu416rwOGwMOlgbN/ETdgi/LsuACXSGffg1H/7RKIU3jBAae64SABDRA0ipIby1JwQaW6YTUdwDl0ShSPjD+EjsJP5g9Br3gSzJ+KHM43iut4qdjrOQMFQds+EMHg/M4D/XrrB7gwQJH0gex6vtuzzmTctxD6BniiLqiqygPui4uN7ZYAxB1UDfHMKCzc/CscQ0JEjY6FZh2TZagy7i/hDCqh+KJKM17mGzVUVI9yPmC6LUrbsAp7OgVNEZ9SdGYsXmOArIMC1HsEbfIe+VSjVt88C2sNwRXlVWXJWxRBEopIejAjw0WKWfadKgz7wuAN79RX9GUQRBKUyaVEV1OkXFRFER8elIVU1Ka+JHkhKdyrgSKCLF93A4ZJ9M0YeV+Jm2baNYLCKRSLgiZwSY+v0+yuUy/y2XyyGdTkNRFGxsbLD3abVaRSqVYjFKs9lkUNTr9RCNRjmFrus6Tp06BVmWOTXc6XTQbDbZrP3atWvo9/uYmppigRdF5gigEdeTCh4QICI7JsDhO5KF1fz8PKLRKK5duwZN03DmzBnkcjm0223Mzc3ha1/7GuLxOM6ePYvbt29zZJVAab/fZ/AtyzKazSYikQiPBQI1iUSCI6wkFBqNRkin0wwoaDwZhoFms8mCI8uyWNFPCxTbttFoNJDL5RAOhxGNRpneQdWpRLEZcWpbrRZzP+v1OsLhMC92IpEI0um0C2Rms1moqopWq4VIxEkD0T1st9sMxCldPRgMeFwCTqaAuLa0r9/vx+7uLkf0TdNEuVzmiGo6nWZf1nA4zKJCAo7tdtvl+UpNzHSIUU1aKHpFTwTiaAwSj9ir/iSfVUq507V60/giaBRfhl4wSucmvgPut1oXfxbBrria9/JWxX1FEda7sdm2U97Q+9nYMl0qXUlyKlyNzYNiDG/TFQ290QA9c+iKdtb7beh7kSKKmiiSjPVuFQNz5Eptr7cqaPi6aA26DAg6owE6owH+oN9EzOcsXDujPjZbDqATBTBf37mJbCjOIhS6rs9tvnhAKPJPtp5jQQlVgPIrOv734W20xj10x2S5ZDkgKAFX+dCA6sPr7VWnz/bG0ryRxi9t/NWBY/2nrYsohJMod+oc2bwQnMM/3X0Vqqxgdy+itTqu4x/uvMqVuChS91ztTbzuC6Ex7CCoGdwH9f4YPxEa4fnSc3ysUnsXuqLhU83n8D358/ufd+v4B2vT+Hg4h1/c48NutqqQJRn3mjs4nZxHuVNHfzREQ+6goe1XBvMpGpbrW6gEFhg8Ag4XeNfsoTvs7yvpdQPtYQ8ja+yK9HWHfbStPgbjoROps53xtTaqY84X3FPfO+OsNxqgPvC5jlXvt7FrtLER2Oeyk5K9/rUuA1XA4Vl2YXKkfWiOIEFCfdzBLSWLoGagNxpAlRX0RgOUVQX1fpsrqNm2jd1BG7t6aH8c7Vl+NeyRSwhV67VQjvZc4ztmBHHLbKE97kORZVimBb+q43Z9EyHVQKPf4chmxBdA2exgaI4FJb2MwXiI9rjvej5My8TIMjEyx/w+K3cbkKWmaxwCwJu1ewfeg7VeCzW0YNk2UxwUWcZ6qwJFVlz7D82RC3iKzfuZWFbV9V6WDtoTWrZ1AKjKknxgkUzX+07oWg90AxiPxzZw0GjcS4z1RmgIWJLpOE28lUoF3W6X05QkuOr3+y4BF0VR986BeZoiyJUkiSdc0QVgdXX1gMsAVbIajUaYmZnhqjw0oQNAJBJBOBxGLBZjikIoFEK328Xq6ioikQhkWUa328XLL7+MaDSKmZkZJJNJJJNJTvmSSMY0TeRyOebsFgoFLv1KJUJJKAOAPUfJZYCASTKZRCKRYJsj4h+2Wi0GhsPhkKuAAUCr1eII2nA4RDKZhGEY2NzcxL1791Cr1XD06FHkcjmoqopms4lKxYkeFAoFdg949dVXMTU1xc4JlAIn7nCz2YRt29jY2OBCAD6fD2+++SZ6vR5arRay2SyazSZ6vR6SySTOnDnDYKlYLHL5VV3XEYvFGHiQnRiB4FqthvX1dRw+fBi3b99GuVzGxYsXAQDT09N48skn2d2Aou2DwQCvvvoqrl27hp/5mZ/B3bt3cfPmTUQiETz66KO4fv06gsEgQqEQLly4AJ/Px5zber0O0zSxvb2NGzducHS+UCig2+3i0KFDOHHiBHq9HiKRCHOHLcvC8vIyVlZWIEkSC/+i0SjTRu7cuQPLsjiamkqlEAgEUCgUoGkaLl265ETCNI0Fc8FgkL1vAfDzEAgEuGwvjVl69shKTYw8ihQeAp+0EKB/9Dx7F430P0VBbdt2AVJacIp0A/o7ZUu87xCxifQbb+pJ5K/S/pOoCOLPlmXhU5/61LvODeCb9V3HEtN4s3bP9ZlX1fyg9k4mIq8bADBZqXy/dj8F9KQ2SUk96fjAQTcA4KDC/0Ft0jXc71wn9dckFfr92js5L29demBf/f8wbTqSdgntHtQeSc7hSvWu67O/X3wav7bxwoFtn8medAmcHrTtpPZ05jheKF93fXYkPoUbu+sHtp10DffbdlKb1If3a5PGF4Hnb3abNI7eybP4Tp67hz3+O2l/LTcAcaIQwaQ4mYgVbSaBTfECxM9Fnip9l9dSh+yXKPpDqcnhcMh2QRRt1HXHG4wij4ATTSQBD9lGUaoXAFeJopQuCWdOnDgBn88HWZYRi8VYtEJimePHjyObzaLb7aLZbKJUKjEXsl6vIx6Po1AoYDgccuUlMmcnIAuAgQ55umqahkqlAtM04ff7OXpKXF8ycq/Vauy9ubGxAUlyzPELhQKr+ImeQOrvra0t5nbKsswG9eRjSmnwzc1NTE1NodvtYnp6GqWSE22YmppCLBZjNwRaQBCvUvTo9Pv9fH8o4i2mmnVd5/QyUT3EBRF54pKSntLgiqIwF7TRaCAcDsPn8yGdToOKGZDKPxKJoFqtsndpr9eDLMt8P8ihwefzwefzYTQasfIf2Od4Eg2EroOEYbVajceRbdtMIxkOh0xvsG0bq6urSCaT6HQ6rmhvKpVCLBbjqD71wfXr1zl6SdzndDqNVquFeDzObgsU8SQASG4OYhqcosFEgaFFAvWz6GogPvNkXUVRb0r7U0SaMiW0v+iVOgk4evmpBJTFRuctug94m+hKMInLSj8T4H23ugF8s5oXqAJ4aKAKvDMV8SSg+E4mzIcFqsBkJfWk4wOTXRIeFhACk6/hfuc6qb8eFqi+0/OaBLIeFqgCeGigCuAAUAVwX/DpBaoP2nZS8wJVAPcFn5Ou4WGBKjC5D+/XJo2v/y+AKjB5HL2TZ/H/DVB9p8d6J+2BFaxM0/zn3lS/2MRJSgSqlLqlyZuU9OQjKno3imb/u7u7XF0HcKJJBIL8fj9XtSLxEaWPLcvi9Dm5CJBamIQ8xPfb2dlBu91Go9FAq9ViMFiv13Hv3j2srq7i+vXrWF9fx8rKCgtkqASqJElsfUVgIJlMsqk8UQxooidAT6rsSCTiKjna7/eZW9poNFx9Qscm2y5KrefzeTaep+8jHu7du3dx+/ZtvPLKK3j++eexsrKChYUFLo1Kaed6vY4/+ZM/wfr6Oh555BFks1mMRiPmhw6HQ7arOnToEBqNBqfpyXaJoqJ+vx/b29vw+/3odrvY3t6GLMuuUqx+vx+5XI5FTbFYjPuR7MzoXtdqNfZ4HY/HCAQCGI1GKBaL2N7eZl6raZrIZDIsNotEItjc3GR+JqXDiYJRLBaxubmJXC7HY1Ishzsej7G+vo52u820gXg8jnQ6jXK5jGKxiEajgUwmw7ZmZHNFfE8SEOq6jlKpxIuXUqnEUf65uTlks1mmHhiGAb/fj9deew2qqiKZTKJWq8GynIINZOtFkXUqhiHyS8Wsxng8RrfbdZVMFVPo5JNKoJhoAvQ/CbXoGaP9CMCKkVqfz8dUGtE2S4yAipQAio6Ki5NJ/4vA1yvOIjqDly/rpRRIkoTz58+/aytYAZPLq3pBTdQIYjDeF1hpiopDsQKejB/C7U4JNmzexq/5DqT0fKoO0zIR9gUwNEfwqTp0RUXUCB4AW97vcbxEdYR9fowt03Vu35M/j7fam679ZUmGDRuLsTx2+21MR9JoDroTz4vOJ2aE0B8PkQ3F0R+PcCoxh6gRRLXfQjYUR2fYx3w0h/pgH8QqsoKgZuBwtAhJkdEZ9rl/zqWWsNV12xPR8X8x9y34YnuF+zHiC+DPIo/jt3trfB5z0Szqgw5OJmZR7jUgSzIiRgCKrOCJ5GGsdXb4vOh/sdHx6W/fmjsNn67vVaSSYAp9+J7MUax3KtxvuqLhTHIBXWvgqrJkWibOphax3XWr6Q/Hi6j299X8lE72fg44UfehOUYyEEFvNIAiK5gOp/HBxHFsjhsYjEd8v368+F58vbV24Fino3No2QN0RwMeK3QNYvNelyzJeCpzDAl/GB1zgKE5QsIfRm88xH9feD9ebN3l8aApKmYjGaT8EdT2roG+5+8ULuBKyw1Yz6QWsN3d5XssSU5Fpn9UeC8qygi1fov3D+gGRuYYhXASrWEPiqxAVzTMR7LoWyOMzDF0RYNpWzwexEZ/o+eUqU573z+p0T6TRE+03yQhk/ddQPd20rG83y1LMiBNpm5593eJqzynMem87lfB6m0jq15Bw/1QuwhcqRFPlQAXVZCiKJTI3xMjrjRxipEb+rvIXSOwRBMW0Qrod3HSJIESRXVaLWeQ7u7u8vdRdKvRaKBSqSAYDKJWqzG46Ha7HIEjsNZsNvHWW2+hVqvBMAwkEgkuBbqzs8PepJTmb7VaMAwD2WwWkiSxLRL5rxLoIk9NEktR35BIibigYhSVqiZdv34d8/PzmJ2dxe7uLpaXlyHLMg4dOsR17QuFAt773vei0+lw6dV0Os2R29FohEwmg16vh4sXL+KJJ55Aq9VygRqqsESLBtFyyu/3M7ez3++jWCyy+IzESp1Oh4VoFHn2qvmDwSAb2sfjcfT7fb7mbDaL4XDIVacoekrRcmrEEzYMg/mu1HfxeJzHF9lBBYNBpmKk02kMBgMGl1R9LRAIMLgmECdSSnw+H0esKSJM21HKnlLjkiShWq1yeV6iEFBkvFqtIhAI8H0hvjYdk45LAF30PZVlmftSzISIzzUBSfpOAsF0fV7bOjFiSeCYPqexQXQdOoYXsN4vzS/yUMVjiDxZ+n/Si86777u50eQjlj0kUcSD0oSWbSOkGFAg8WRmWhamwin091wDyOs07AsgoPmQ8RXQGHX3PE9lpIwIQqoBRdoXWMWMEPNSRcHNdDgFVVLQ3vtORVYgSxIuIIK7gvH7kfgUNEnBMSOLmwMnKvb9oRM47JPwG3IZLbPPnqS/lPsWxE0b/0GpojJu4xv9NqaMJJ4OL+F9dhi/OVrh63okOYfv9s3hRnAGf7T5dQBA1BdA3BfCOaOAz/f3vKtlBbIk46yeRS8xxPWaA7ZCuh8BzYffiD6J/67u7O9TdRiqhnu/9N34p//CiVAnjTAOhwv4/ayCNXURFzUDn8YqFqI5JLUw/vLvRHHz9y08BuB7oicwE9ZgAViLDPG5PaP755PvwdFHd/DDV85hfVRHqb2Ll3dv4X9IPIHPmkOUew2O4p1LLeE9ahaX1DuwbAuWaTn3Rg1hU/VxBSpdUREzgjBk7YBoKqz4mX85MseQJQk+3UBSC7voFH7Nh6BuIGGEsbNXdUyWJIRUA3nZ4Htb6tRxOF5E1lJdJvUJfxhpLYJDahQv7YnnLNvGdCSNw2ocW3s8XxqrCmRoyr5gUJUVhGQdScWP27YjcmsP+8iHEihYMlKBKAucRuYYhqJxRSUHsGtQJBl5+JAK7Dsw+FQdfllHSPfzmHUs1VScGyj4pT2XAkmSoMsa/KqOfCCOe3tRatt2KkJl9SgL9QBn0RbWnQUaZSsUWYGqKPCpGltdkWCpEErAtC2OBpO7QtwXwsAaodTeRToQhSLJ8CkaxpaJ9VYFEV8AqqzArzpiWIqe50MJ+BQNm+0a83Xp3tq2DdOyeBxpisqVqUhk5YwbJ0Bj2hZnC+jZJY4r9QF9LlbmkiCxcOthsgIPXRRAFEZMal5xhViekSZN0YYKAE+iFKEhsEZRSfLkpO+jtKtYRpVcBUSLHBFItdttmKZTj77T6aBer3Pan9TUiqIgkUig3W67aAGSJGFrawu1Wg2qqmJqaoqV/WS632g0sLOzg1arhaNHj8IwDKyurnJkikp5FotFjvISuAPABvKdTgfpdJoV51RWc25uDul0Grdu3UKlUkGr1WLABIArWCUSCeZpHjt2jN0XSG1fq9XwR3/0R7BtGx/60Ieg6zrOnz+PbreLlZUVvP7665iZmUE+n4dpmgiFQlhZWWFVPPGDSdxF0XMCBmRtRXxi4qkSyCRxElWW6vf7HJETxxeBUYpQhkIh9nftdDqwbZtpAfF4nP/m8/nQaDRQKpU46kpAyrZtHg+JRAI+n48jzRQVJeU7CZxo8UBjMBQKMUeYqCYEzrz+orSYIZBFgB0Ap+ppzNMYEPmwoVCIF23lcpl/JpGgpmnodDrMgaUIrxcUis8hnZuYfvfaW3lBKlECxOdaXMDSZ2LUlfYRo+UAXO8DaiL3lf6J5y6eI4m9vGD1QSD33doUWYGyZ0dFTZIkLo/ojUCPPJ+ZlonGuIvTeob5lUNzjNqgjWORKZQGdQarc6EMEmoIl+p3XJFNQ9EwtMauKJ8N2wEIQnjFqRfuiDVo/2IoiYQewme717EuTPCn/AUUJAN/0b2Dztg5/h/2biGoGPi3oyzWlQz+Lhyw+ueoIKL68BE7hUt6EN/AHYxtE4elIG7JI6hjZ5zljBiO+jL4yriMhrmflpUkCY8GpvFaf5P7RlNUzIUy+ELrLVQFg/XPRi6gaA/w4ebLDDL+fvYC/ud/NoXpf/hnXIb2HxjHcH7Ux49W2mjKFY5M/p5RwOFPyvi232mgOnI+e31YhqWl8cxQh6zt+27+G32I9NUMPj20cVOZxY9gGaZt4Zdbl/GzoTP4hf6+ndPV+hpuq1s4GZvBancHla4T3bzYvIMno4fwpcFV9EYDtIc99MdD/JPQWdzxl9jCa2SO0bUGe7ZM+8BFl1VsD+oYWvsUibQ/iiOBPF6ovsXRQsu2ccyXxfVxHbIkwdwbA5V+E5WAiZQRYbAa0vyYViNYNfej2z7FAZBLtoHnPMry+rjjGsu6omJ73MQFX8HlaTqyTNxWxly6le5tqVfHI5FZ3LCdKKpf1SFLMi4MJPyaEO3UZAWGpGLksXL6XxJP4R93XnfeO7YjKpwOp/DB4CJ+a/sVHveaomI+lMWdbomBmgPuLKiScqC0a1QPYKuzy+AtpBuI6kFsdXZdz2jc59hg7Q72S2/rsgpZkjEwR3z8gOaDDAkDc+Q8Z3ut2nOyxEl/GN3xAA1zDMu2MTZNhHQDfXN0X2oM9SEHHCzBNcq2oMoaZMl2uQR8M9oDBVb9fp//6N1O5LmRSIMmORIVkdcpcQxXV1fZxgqAK31Lk5ToQUmAiFLloVAI5XKZzo3LdNKxbdtGq9XiSBlxI7vdLsrlMnZ3d137y7KMcDiMwWDAkyWl1glEptNpRKOOofDGxgYsy2L1eCwWY2qCqqrI5/MwDAOpVIqBjW3b3B9kLzQYDDjyRPXnyad0NBqxn+lgMMDW1hZarRaLcih6SdFj4t0CYOHW1NQUA2ZKo+u6zudsGAby+Tyb9U9NTXHaX5ZlzM/PMweUytYOBgP2HiWwGYlEuLynbdts1L++vo7NzU30+31sb2+jWCzixIkTKJVKWFhYQCAQQD6fZ8AvSU4xAfK6pXR6s9nE1NQUarUaGo0Gp+pv377N4JXoELqu49q1a1hbW2NuJVmVbW9vI5lMYmpqivmtiqLgypUrSCaT7E/b6/XQ7XYRjUaxurrKfXz37l2Mx2OUSiVMT09jaWmJAePu7i4WFhYQCoU46k199Pzzz3P1qVqtxgUZstksotEoR6NnZmaQzWbZtYLGAUXkd3d3OapNdAOqeCb63RLHlhw2KFPgpQCIfE8CkN5om5gtAeAC5GJ0VgTEorUcfUaAkkCyyIkV3x8ElGkf0bkA2LfV8oJSbxrKC4h/9Ed/9F0nsHqQwMErwiExhWgjRM0rsNIVDSNrjLgRYpBB+91PSEROAcC+oGTSsbyio2ezJ/Hq7rLzbtiLiFHEy3sN+l4kKe4PMY+QhGCTRCxeYcx8NIeVxvbEbb3CmGOJadxpOhE+ut5MMMZOAG/HMc2HEqj0nGO/XdWwqBFEfzyCX9U5gknRyHOpJbxWue3a3isGo9+pDKjYvP3tU3UsRLLIazEujUr9QqVUqRXCSdQHTuCArncpVnDU8BMEeGKkEnCKAtzoOdFPipaeTx/CxZ1bB/ZPBaKI6gEktTD7n9L5TLoubwnV780/houdVUS1wAHurPe8sqE4jgeLiMt+/OnWqwCcYgWvV5Ynlnb1niuJw7xlc6l/xeeDKAWaovK29H33E/v9dduD3geTBISUgaHxMUnw+qBjUXuYbSd9719LYOWNoAD7YgnvdjTBUHRE5GzSvgTWiFNKE5Zo+k/RLZGLZxgGR7+CwSBTCmzb5jQoTYgEfihCWq/XOUJGUS7btlmsQqljivJQRSDyXqX0cjgcxuLiInZ2dnD79m2OsFI502g0yt9FrgC0HwFWAht+v5+tjvx+P6LRKHZ2dmDbNra2ttDpdLCysoJKpYKNjQ3U63Vsb2+j1+sxJSASiSCTybgU4lTBq9FocOqbJnwCQVR6dGtrCwsLCxgOh3jrrbeQz+dRLBbRarWwubnJoJHsjXK5HKfJqU/IiYAWBnQvCWhR2VQqFEDbAPviHora0j2j9DpRJMiqiQB+t9vl+7y2toZkMsniq3A4jFwux+fV7XZZHKeqKkqlElMGQqEQgsEgl/UlfrUsy3zf6dpJpCdJEnNuKS1Pix4AvDiiZ4QirBsbGzwmSFEvVm+j8rkiLYKcI6j0bzqdZhsuy7JYqEZgUBRE0WdEswH2I6oE+kR6AL04vFFJL61n0u9070RRE0VCxW0mHYO+S/wOEZB6f6bmtarytrf7+3/t7e0mCbHRBOoFj5MaFQ4QyzbSfvcTZYjgjYDgwxzrv5SuIqT7XeCRgIU3ZTg0R5Al2QVACUQ8jIiFDOcfZts3a/cOAA+iOTyMGGqrXZsIECY1WgR4CysAOABUJzU6hhfQTWp0PQRUgf1+EYEq4FhiBXTDdb236w63+GEEeF/c/gbbd1G7uHNr4raVbgNRPeAy6qfzeZjr+tOtVzETyUwUeXlbqb2L48EiA1UATCt5mNKuJA7zAtVJrTcauIAqsN9330ygCjz4fXC/cegtCvB23yNu+zCg9p1+L/AOwCqdxP0qzoj8NvqMUopUtpL4l+RV6vf7XREZEo8AYGBHEUHymiROYzAYZJBBkzSliUU1NkUmNzc3WSVOE/n09DRHS8kJgOrQG4aBZDKJwWCAXC7HivypqSkGbjQRk6J+PB5z6p3snarVKgzDwGAw4EpZ1I+9Xg/r6+sYDod44YUXuBoR3WwSgRGQ8fv9XJwgGo0iHA4jk8nwvSFfTRJkiXxCMT08Go3Q6XRw+fJlLqRA3qnRaBQLCwsoFotYWFiA3++Hrusol8tIp9McuSIuZyAQ4Dr2FJHWNI0jorTQoMgsAcVer8cm+I1GA8WiU9ovHA6jXq9jY2MDMzMzqNfrrusgm65cLodbt5wXHFUHIyrF+vo6IpEIKpUKarUagzbLsrjYAlE/Op0O+6L2ej1MTU1xpJvcGGKxGGZnZ9lp4fbt25ienkar1UIqlXIVuIhEIiwYpEIAL7/8MsbjMVKpFBRFYWpKJpOB3+9Hp9PBzs4OF0OIxWKo1+t8X8hLlmzIdF1Hu91mf10qGEBOF5QhoMiwyDOlhQBRcUhQRYs9im7SOBFfJLTAoG2IO01FOmhs0EKUoq4i51yM1tJ7hcC3OEaJSgDAteAljq8IZEUqxt+0/TZp0vACPYriTIqMBmR3OcmwLwBzz5dVLApQ77c5uuhtYrSSjuWNfgFkGr4/t0yFU2iNei7z/ZMJxxjeG7l6JDmHtc4Om6MDYDA0yaaKUtrUHCHYEBFfwBVpA4CR5Z7Mj8SnsNGp4pgQaaNjPJE+gld2bhzoA7FJe7y9h4nCBnSH8xv7f9h78yBJ0vs67GVlVdZ9n1093dMzPcfO7M7svYu9cCwAHjBJkxRBgKJhHhZtGuEgZcmmTcvBECMkygzbclAyxVCQlCnBJAXBIoigyABJCAQWu1jshd2dnZ3ZuXumzzq77iurMv1H9vv1l9k1g1kIoh2x+CJme7s6qzLzyy8r3/e+994vFJWleb5vXkyVF3gseKp6qY3L8mzvL96Lb+5ed+lIeZ28cVBBvwEfNBfzzmvybPGMC/ACB8dcLpKEZdv40YVHBRg+VXCqenlbMhQV7Sr1mvz/eefnNSyV41n0zOHcmCrvtqczyzA0v2t8ch9kfu/UeE2+r/QAvrjzhutvXvNfOBDEeGq62FneH7djVudFnt1NZNu8bciEexv1qYbuPzDxuJtJ1ruJWns3jC3wLcqtqloy/q7+VLeZF1/Dh6Uaf0NgyDr1fCAzV1QFvASsXMpnNSM+1Kk3JSjm52uaUzGJoGZxcVGWvwmeqIk8dOgQstmsLPUbhoFjx44BgNR4JxMbDAZRrVaRy+XEGHXo0CEEg0EsLi7C53NKg3LbZrOJer2OCxcu4PLly6hUKuj1evD7/RgMBlK9an19HRsbG6LL7Xa7qFarIkUXKGxJAAAgAElEQVQgQMtms1ICdHl5GYVCQWQLkUhEyn4ahoFgMChSBLWWujo4qJuMRqNIp9NixnruuefwpS99SXS+ZPNodGI2LkEOjUDD4VCqJZEB1nVdpAJcmq/VaiJBiMViSKVSaLfbYgCybVsA2fLyMra2tgTYUXrR7/dFPqJpmoA1ABI7Np1OJdSfDDcAYbVns5krn5ZL5JyA8PyYDKBpmjDG7D9qgjn2VOaQwJVlfwG4gCdBI5lpSkKYilGtVmU8xWIxKabQarVQqVSwu7uLZrMpZjEywkymYEELYH/yR2mBahbjuVJeQnaUsV4cP94EAa52qIypymoSZKpL/xyD3mxm1ajGCTHlBPz7PBOnl0G9k/HqvdbU72I2fc8kxMaH43g62ZdYaD6cSC8ipodc7+uOBwdKoLZGPaRCMVcgPsuaJj3L6twXmTm2hVgGmVBMypoWoilsdOsoR9xg5HzzJu7LHMZgMhLTTyYcx1uNNSQM977W2hXHdT/qSfh+LpJEzAjjSLwoNd9PZZbQHvVRjKZcQDWgO6Al5N8vA5uNJHBpdwMPpd1LwuyDl2qX8PHyY67+/rnyU/jZ8pPSr7a9X7XoWMop2JIKxaTsJ0tfJkNRDCYjLETcZWBZ1tSyLXnP/1l8Voxz6rXd7jWxEMu4Pjeg+3EkWRKzGM/rucrbjjteYc23ug2U41k8X72AmBGWazueTnA66ZaIDCYjRIwQvlx5C6upBdnnQiyDH02f3Z9Y+nTUB238ROy0i8F8oXoRTxVOYTmWd51De9THkZAbaK53alhK5LHda8q2yVAUq6kFxAJhuV5Bv4GtbgOHowWsd2rSB7pPRyYcx0qsINvGgxFcaN7Cih5zTaTYh6/Wrrjuj2QoiqcyJ8XoBOyXQP3izhtSSten+RwtbO6EXIuYEcbQHCMedMsIVKDK4+Jn3A6UzqyZlNJV73XeHzEjPPd9V1tbMv7UZs6mB45L/Rs/N2KEDny3sIzsvO9kloJVX7Nte7+K1V20O0ZXjcfjv69+sMqUAO5lQe/f+KA0TVPAKfNB1WVIVmoiKKPujkv+/En9JbV4jHUia+dlcqrVKra2ttBqtSSFgHXbE4mEGH2i0SgWFxcF5HFpNpPJIJ1OI51OS+ySYRg4dOgQhsMhZrMZ7r33XkQiERQKBfR6PZw6dUqAGs+NTnCaQ4LBIHq9HnZ3d2FZlugRAUgeKh3tBN7pdBqnTp1CsViUmCm1BCzBKQEr2TKVUeTnk60lMCSbpWlOVmsqlcJ4PEa9XsfXv/51rK2twTAMDIdDbG9vY3FxEaZpSt4tQSH7hDmjari7ampaXV1FLBYTcxDD6ykJqFarqNfriMfjyOfz2N3dFfMby54yFsqyLClscOPGDfj9fiSTSVy7dg35fF4MbdFoVJIImJhAZpBSDrKjlFQQgN26dUvG4MKC8yXMbFiODbLaBIpq6dydnR20220Bfq1WC6VSScAkzWHM8aVGmDITgkLqeLe3tzEYDJDP5wVoUzethvaTxWa0FLWtBJ2UMqhgVDUt8R/3rwJUdfLDcaV+BwAOK+sFqNTiEniqYNT7vcJrwP2oGtXb6VVVCQQ/46GHHnrPRVcFdL9jXPKURgwbwbn6tKDfXXfcho3BbIL3x47g9a4DSBLBCKKBEHKhBIZ7ETyAw3ItR/LoW2NYe67igO5HPpxEMZRCwO8XF/aheA73JA7B8jkO4vHURDIUxb3xZViajfVeHTPbggUbK4kijgULGGpTdCbO+4+lygjrQZyOH4Km+9AcdREOBBExQvjPEmfRN3yoDB12NxtJIOoP4dHUKvr2GJ3JAIVICh9J3YOj/iTa2hTVYQvQNByOF/Cx6HGUY3mJyvq+4v04EyqiEE5j6rOdffkNfDh/HzK+MLqaKeU7/075A/i72gI+O97Axd628wzT/Xj76H34L9Zfkz58NH8cH02dxI7VQ9RwSmj2zREKkRQyoTg+lL4HsVAUm4MGQn7Hgb4aKSEQ8EvEUjaSQDgQxBOZE0gEo9geNPGy3UQyFMXaDy+jtXsSr+1FQgX9BsYzE1/LPow/NBtSRWk0M/Fo5hjqky4msymG5hiGHsCPZc5i3epIKdtsJIGnE8exNnaqkdm2Y5AL+Q1EAyHMYIl57HRmGX8zcR++3r0pFbv8Ph3fn70P67Mu6mbPqZpk24gZYRihGOrTrrDcESOEoD+AHwwdxZuTqkg7mDCwPdw3GAV0P+JGBLrPBxsOazmZTeHXdTyTOIYrw+peRJQf4UAQ90TL6NpO9BgnWkfiRZj2DNWBM14YSfVzoVV809eRcqmGHsCZ5GF0ZkMEdL8DKP0BfG/2DC6OtlHZe7+hB/BE/h787fh9+PJwHdsD53jT4Rg+VXgUX+tcQ3s8wMyaObFoRgiLkSyC/oCM71QohkQwgqDfiaJygGMEmVAMNpxqVGRoy/EssuEEuuYI46kpsVlxI4yIEYLfp2M0nYjZ7FiqjJgRdpWcbY66rvgqTdNkMquuKBSiKaRDMXTNoVJ21wHm+UgSFmxX7Fw2kpBysWwz25JYL+6LEyxv+7aiq9i8zClfAw6WWGWbp4Hjg8Rr8ODDhZpWsrDdbld+5zaDwQCBQECYtHq97nLXp1Ip6QDTNNFqtYRp8/l8GI1Gon/sdDqy7eLionw2q0MdOnRIWETGGFUqFSwuLqLX66FQKEiOJ5mzdDoN0zRhGAZKpZI8tAmoyXTRLb27u4t0Oo2dnR0BtuyX8XiMcrmMYrEo+4rH4+JQZ3+yj7gEzFgrwGGKWe1oOByi0Wig3W4jEAggk8m4AAmvSTKZFK3lzZs3YZomPvnJT8Lv94tZiUYknlc4HEa73Za+5djQdR3FYlHOeTweI5fLCbgl2CUTTLCWTCYFtCeTSTSbTQFnXIZmUQPmexK0Ly4uCmgEIDpQSkiojabGlEBPnfhwfPO4yFKrzDKlJtQjq/s0DAM3btwQaQaXuVmKlsY3lqFlakIymZRINk7eNjc30W63pU9ZZIEmPepk1egpgnGeI/vaC/zU+5LA0Qtc1QIf6v1LJpoTSZXV5P2qsqjqF5MqB1DHMpf/+Zr3ffwu8n63eL9L3suN5Rq9/TCeumUd3GZ2m+/w2V5+pWVb6OyVqQz5DdcS/HqnhnHURHvUF+bKnE3RGHXRGvddS/Ab3brUNycLGw+E8WZ7DelgTIBEOhTD1dYWQpmAK6j+amtLlpvL8SyAfQ3ny/E63mzckG0bgw5mloWrrS2cTB8CAHTNIZ7vOakAfIhbtoWLzXU0Yz0Xg/nv628DAPLhhACSY7EF/Lvtb+KR/HHc2itpCgD/eOureCF/0vVw/lTxMfzjofsaNM0efq922cUqAcBmr4GZNcOtbg2RvX7pTUaYWTNc9m252GWWmv1Sb1cYteawCxs28v9mF/+ksM+WUdbxRO1lfDHzDL6v+TVo0DCZTVEzOxjv9TfZvC1r6JJyNAYdVGN9yUwFHPnA0ByjPu64WNgLzVsoFZNQ29SaYWhPUTO7EvvEcq2NWd+lXR5MRuhNRzhvdRAJBNEdDxD0B9CbDJ1UCaVvzdkUpjVFc9gVdtnQA+iZI6yZLXH+E4jvmG1U+y1hKw09gO50CF1hLAm01vyWi1mdzEyMbBOtUU+ul6H7sT3rYrxX5tWGjbOZFYeBLhmuiV9QD+C1SQXdyVBe53HNLMvFYLZGPQw8zOpoOpG+U/tgq9s4wLaas6ncm14QeKNTmcuwmrOp63Nmljs9BnA02QHd73rNsi3ABmqDttzLbMPp5DbFMCzXc8GGkwxyt9/Xd0wDaLVaNuCu0+1lP1QjBR8s6hKkWma1Uqmg3+/LEuhgMJAiAFzG5HL3YDBAs9l06UB1XUc0GsVsNpMSrjT9sHoT3df1el1qtrdaLQFk6XRaSqfyQVupVKTqlFqTndWrNE1Dv9/HmTNnkEgkcP78eVcxgGw2K8asWCwGn88nx18sFmWplGByMBhgd3dXCgVMp1NcuXIFtVoNOzs70l+pVAoPP/ywBORHo1HRy6pLpmQFyZYxO/bSpUsCNkajEV544QV5L8ESiwqoubRqHBhNasFgEIcPH8ZHP/pRJBIJLC0todfrSQQYWcPJZIJGo4FSqYRms4nBYIByuSxxT+l0GoPBQPbR6/XEYFStVpFKpZBMJhEOh/HGG29gaWkJlmXh8OHDqNVqoq2lhKBeryORSGBjYwP5fF7YzHQ6jXa7jd3dXQFbLKfLfNxEIiGJAdPpFNVqFbFYTErv+v1+kXIEAgEkEglsb28jHA67JAbsK0pGCA7feecdRKNRKQFM6ck8ZpxMOO+H0WgkcgCy/CwUQb0rpTBqAQ5qT3l/ckzQMOYFeSpz6gU4akKHCjrJjvI8aY5kQgG1s9RG873ypeX5f+5HNYyp0gMCcX4P8TV+N807draf+ZmfeU9pAr6T5VbnOc7nOZ1veyzvogTqPM3svNSA27V3s+08x/rtdILzxtW7KTn7H9r+Y5XknKc/fDfn9W62VXWwbMuJggvw3+lzmUrw7e5r3mu329f3lh7An3v0prdr76YP5t0L76Y87l9n+06nEbzb9m2lAQDzA7y9UTfqw4hAVWVi+QCnPo9MEFlAmjQINKmBVFkgNWrKMAwBtGSuCEDJ7lWrVYxGIzQaDZimiUwm41oC5YORwIfHFolEBOQw8okh8QSxlmVhY2NDnOgMpmeVoXQ6LUCEBh6yplwKpRSB5iTun4wZs1MzmYxoClk6k6CDTCCbYRiSxTkYDLCwsCBAolqtSpYtNaQEy9ls1nXNVWAQCoUEpHU6HayurqJUKiGXy0n6gG3bUtGLSQ2WZUmpXFYf6/f7ME1TwCpNYzwnGumYz5lIJAScUlZRq9UQi8VE75lKpURSYVkWhsMhstmsy+xkmqarbC/HICchXNa3bVuizVipi/2q5qKSjSVrSVNgPB4XTbZt25KpywpUzP1dWVkRhpdjnGYuRnj1ej3R/zIxgPcL4OTaEoQT4KlFGlRAaJqma3WCkxK1khU/B3CXNVVfZ/MuxXPcUl9OdprHp8oB5rGlKsOuatvJlqoFQ9TvG54T/59/+65m9TvT5jnO7xaoAu+uBOo8JuZuwee73XYewLjdw3neBOivC6gC//FKcs4zyryb83o3284DivOA6u0+926B6u32Ne+12+3rboHq7d5/uzbvXvj/I1AFvvNpBN+pdkeDlbqk6F3uFy2UYqgg28JYHrIr3FbVr04mE1eEECUAtm2jUqkIAGQcETV3NJQMBgMxyJRKJQEz4XBYwBxD5dPpNEqlEgqFguhSCQ6DwSCOHTuGYrEI23YC573lU1l+0zRNfPOb38SxY8dw+vRpXL16FRsbGwgGg9je3hadJJdsM5mMLBWnUilEo1Fx19NQUy6XBTjato16vY7JZIKlpSUcP34cgUAA8Xgc5XIZ6XQauq4jHA6LHpMAZTKZYHd3F51OB+vr66jVauKGv3btGrrdLj784Q/jx37sx/DRj34UTz75JAqFgvQTr6EagUStbTwelyzRL37xi/jCF76A69evY3NzU3TIdNPH43Fks1lMp1Nks1lhbglEut2u6GJp8iHbzOvP/dfrddGCMsOUPzc2NoQtbLVa2N3dxY0bN0TjOhwO0Wq1RPecSCREJsBJCQERzXvMMiUDziV7GqT6/T7K5bKAVcoWVHMgx1U8Hpf3DAYDXLlyBY1GQ15rNBrCXNu2LfdKIBDAwsICTp8+jXvuuQcLCwsiM2FBAk561HuRYI2gT03TUIEqX1dd96rRSZXqUGfMAhcEt/zpBbfD4VD2HQ6H4ff7ZSLGe5+/q7Fm7DN+LzD+jP+8MiT1e4nnpOpc2b6bEHBQ18vlXACyrMmfNE8ADhP03y6+X97PZUnvkh+wX01HNexkwnGX+YSN++DSvE/zIWKE8Mny42Li4T5/es+YpDYuffN4lhJ5ABBZgNruzx5xHdezxTP4SOksMuG4LB+fyiwBgMvwBTg6vUI0haDfkD7juf/84tO3PS/1d5/mw+P5k/I+HnMhmnK9JxOO40iyhI+W7hfjF3/+rfJTB/b1YG7VdV4B3Y+g30A2kjgwUTuTXQGw36e/XXgWx1Jl6L59QoL9Ps9ww2vove48BrWtJIuuz9N9OrKRBH66/KSYrnjO887rZPoQHs+fRC6SdG3Lz1Ubrxv7NGKEcCqzhBPpRbm2bO8v3gtgv7/CgSCykQTK8ay8xs/xGuT42Twf/gz6DZzJrsi+vPcSxyPvuWwkIZ+jyhG8bd49qft06dN526rSK5qxvH+bd98WY2nXNnzPkWTpwLaq8Q9wxrB3zGfC8QPv43l6j9+7z7tp3zINYN7vKqvCBxv/AZCHNvWh8wLA+YDkkh9/AnAxX6p5iAYRZlaGw2FxhNPhzP3R5MTPZhLA0tKSxPowIN7v96NcLovOj7mtbMViEYZhyHIsmTzbttFsNmHbtoCyVCrlylCNRqMiT+ASOxMJVNaYgJV9QH0ml9AJTAnu1TrsTARQA/J1XcdgMMDGxgbuueceNBoNiUNaXl7G0aNHkc/nkUgkBLCopiwA0vdk7fL5PIbDoWTNNpuOlor6QgLOeNwZtMxbJdCaTCbC2vKako1jPJdtO5FdrVYLkUgEb7zxhoT18zo1Gg1omobd3V0pF8uqU+12W647QS6Pj4zzaDQSHTGwr72kU14FRolEQth3snij0Ui0rNQeE9RyzJIRDAaD2NraQrvdlhK0s9lMyq/yviLrGgwGpZQv/z+VSrlC8lVmknIUFtigW5/XzlvilKCRwFEFfKrTX81TVvWrqozA+zv3z/tPrZbFCQhZd9WA6S0mQCCuTpTZnyoAVZMDVA3svMn1e6npPt2JoPEsYWvQ4FPBvG05JR73tj9gvrLd78+E4y5dMuCAxZVYATFjvyynbds4FT+EpBFxAdZMOI5cOIH3F+9Ffexkomqahog/iDJCUnXHpzmlNJ+ahlyg6GT6EE4nlnAonkNs78Ff6bdwLFWG4fO7Hp6P5I/jidCi67heaFzCJ6wcMsG4VA7a6DfwROEehPSACzx0J0OsRkuIGSHps6E5PgBqeQ7zHrpRI4SSPya/m7MpYkYYaSOGVCgGvzJxOBVewGk9KQaaX0k8gs9mP4gPTQw8lj8h292XOYyHjRJykSRSof0kkrgRRiIQQUhxkf9e/kP4g1gK4UAQAZ/TB3+n/Q18IZ1H2G/I/sczE5lwHCGfuw8M3SkfGjPCEvNk6AEE/QbSekSAC+CAmHTAOS9qLHXNh3ggjGfNIHbHjnZ5as1g6AEcs4NYThTk/TEjjLg/jEP+/UQCy3aSE5L+iAvshANBRPUQirE0DKUUbMYfQ1QPiTkooPth6AEYmjO+WSZ0as2QNmKI+/fHxmRmOgYl+F3ALqD7Edo7Z1lZti2E/AEk9Yh8ZjwYdsZ3JIGHc8dkLIcDQcSNMJYiOdHSZkIxHEmWkAi6749sJIF8NAndpwvratk2YkYIxh5oZWMZVtVNr0HbO+f9c+W2t2vqd4SmaQj6DcT8IVcf+DQf/D4dhWgKQ9MZB93JEEcTblC7O+rJRENtpjVF1JMe4JRada6LF/Tert0xDaDb7f59wB1Z5WVT5IQUJy7ZEobu93o9DIdDV44qAQyXfPkAoyGJjUyNKgEg0OEyOzNQqVHtdruyL13XUSgUZKkwmUwil8vh0KFDck6qBi4cDouelAwa3dTT6VTkBO12G6urqwiHw+j19qqL7OV2Mh2ATm2W//TmVJLF8/l8+MY3voFutyvlU++77z4cPXoUhUIBkUhElty9DwuadiKRCIrFokgWWC61Xq/jN37jN/DSSy/h3LlzWFtbw9WrV3Hjxg1X5ibD8oF9TSDBhnqtotEoWq0Wbt68iUqlIn3L4yBIptkokUggFArJ8n+pVMLm5qYcJxk1lidNp9NS3rbRaIgcolKpuKK9DMNAsVhEq9XC4cOHhbFkxBX7ut1u4/Dhw678XnWCRbMUo6EIzikbYOQV74FWq4Vut4tMJoNWqyVJAQRS/Kxut4vxeIx2u40LFy6gWCwikUjAsixJnwiFQtJv1NPy+NTlegI6VkEjY0r2n8Yxgm6eF68LJRYqEKXWU42kUjWjqiaUx6MmfajgUdWyEnRST05W2lvIg6BVrT6nAiMCc/5UdfMqS6x+P7nE+/Z7Nw3Atm152Pk03/6DS3P+w75hbfVkKIr+ZCTbapqGR3PHsW71sDlwzCYza4bhdIJcOCFOaQDojAdoTfoYTseIGSGMpyamtoXKuA2/T8eusgQ7nE5wLLGAl2qXMbMszGwL0UAI9yWW8dpoC/VhBzZsLMQyaI/6uGRM8Hbzpry/MepgaE9Q6e8iqAcwmk5g773+vdn7cK6zH6W0NWjizcEWRtMJjiSKaI660DUf/mx4C0+ljqMQSuFGvwobNm72qjiTXsGt3n48kg1ge7jruLP1gDjkzdkU/yiwhM8M9/cFAP935hn828GawkQHcCq5hOfr78Daux5+3XFowwfsDruiY4wYIWyMmiiGMrgxqmM4neC81sW/aF3Aw8kj+EzlNdlPddjGW4Nt9CZD6D5dHP4z2wI0YDgdy7X/48EafqdXx3hq4p8WPog/7d+AaU3xW60qDicK+LXYw/iT/g2HaDBHWI4VsK70wcy2EDVC2N0zF9nYS/GZmdidDVzSi/HUxH2JJVxorSMUMDC1ZlhJFhHSA1gPaLjQ2YRt28hGEuhNhtBiCbze2I//msymyITi6NkT1MZtWLaFgM/vyEN0zTWOptYMu6Zj3pvZzneH36djd9rD4XAe1UlHJl5TawbTZ0lCgVxfzbkHRrMJpnsO/cnURDGaxTud/SIIlm3hxwsP47W2U9HQhg1DDyAbjqMx6aJnOqtw2XBiz8QVwPXODobmBDacVAhd82Gr38Rw6oD4gTnG7p4Tv6PIPIbmGDaAydQ84NKfzKYHEjuc+3fqYlZZ4lQtrWrDRiGact23ADCami4pgt+nYzIznVzf/q7r/brmQ2c8EBA+tWZojDoI6H7kIgm5PwbmGMlQ9ECWcX8yEmDOsWrZFqy90rNqu10awLfkYL0PEdebFcDKB4764OHDiEwOHzpkUNRMVbKBXKK0LEs0jgR46nIkS6dubm5ic3NTSroyCovAKpVKYWFhASsrKygUCkgmk/J3BrqTfSU7xeVZsn6maaJWqwngZKlXsmp+vx+RSERYNYI+MnfUZIbDYekrLoWyjCzZNT7c4/E4EomE6D3VZV0CEWow+QBXl2e55E62N5lMIpvNIpPJSGYqNb8ED5wEkCnkZ/K8KAnIZrMYjUaoVCqo1+vCJAOQ46HRhkwlganKZjK3lcvFHBtkd5kYwKpbg8FAiiz4fD6sra1JKV7btiVejMwcixbwc0KhkIBYjl3VTU9gymMmW8y+ZswWxzUTKWieUidcXNKnKS6fz8ukgzpobsPldvYHj5374/FrmiaTP45zsqjhcFgMc5wIELR62VD+VE11apvHos5r3E5lNfk7sL9C0m63RY5BkMp7gP3H7wT2n/q7qntXkxrUCaCa0+oFrO/lpj6MvH1izqZiPlHNHrZt46XaJUxsN9Oq+3RUB21Zogb2zRjxYETAi7nndq4POq6lQZasZAQQ4Oj+nq9eQHc6lP1vdRt4tngGXXPoYjJZJjUZikrKALMtv9K5jKcLp2VbMsX3Z49I+Plkr975n9ffkuB6czaFT/PhjeYNkQ0ADjg3Z1Ps9HZdDvmYEcbvhqau5eI/zH0QP1H/issxPTTHeLV2BTPLEpBhzqZ7BQT6iAcjotNtDBxn/eVJXVjFjW4dD+eO4ffH1/A3Fh49cF4P5lZFM2nbNsbTCQbT8dxyq2eyK/h05cuyrWVbuLy7iZ+rflnO9VA8h7d2nRxbNhZ6iAcjcm3M2RSnMksYmGNXFuhHSmfxpZ1zWEkWJRT+WmsbF5vrqE17otlsDDr4QPE+XBpsizQA2C/4cLGzobjmTWQjzuRIHQfMqT2VWZLPncycRIq3u+uiq7ZsCw/kjqIx6rrGoWVbaA67qA7acqwza4bH8idwvr+B05ll2fanyk/gX269iIgRkj6YzEysd2oYTMey/61uY+69NJiM0Br1MLX2v7c4ZnuTkYvBpHnRp/mkD2zbKWlL1z4bDYkqs2rtAfeZZR347tsd9VxMOCdKlALw2saMMBrjLlKh/RUB3uPq/tX3eIuBtEd9177YuuOB3Pcq6XC3HoM7pgFsbW3Z3iV+rwRA1erx4TEYDDAcDtHpdKTGO2vY80Hl9/tFv8kHHB84DPun/pSVr2zbFlDQbDaFQWUYPQ0zw+FQlk+PHDkiQItL9dSB0uTCFovFsLW1JQ79er0u1bCYtZpKpeRvm5ubKJVKOHv2LIbDIRYWFkS3R0CYzWZFF0rJgWmasrRdq9Vw8eJFfOELX5C4qZWVFXzsYx9DOBxGobC/VKJWqKKZTE0CoGmLKQu/+Zu/iZ2dHRiGgdlsJhpIhv3funXLlbN65MgR0akSpJNlpL601WrBsiy88sormM1mWFpawgMPPICVlRVks1mpAka2lOVUWWWJx6vqJ3nefr9fMlY1TcOtW7dw6tQpnDt3Tkxcu7u7ePTRR2WJn5FZx48fl1SCN954A7FYDJZl4eTJk9jZcQT6XLpXHea27URPcZ8sCGBZFmKxmOhkydLSoEaWn9eYbDJjp2gWpEyBJVsJJlVpRCwWE+Mfxw01vgRiKmtIxpuMKMG6alYkC03JCrOK1ZxUNQWCoJYAl02V7KjL9Px8VYfOyeVoNEKr1RIWnOkBnDDwfuaqCc+DE1L+UyevqhlMLR2rgmpVKsHff/7nf/495bb6TqYBfLd9t323fbf9dbfbpQHctbpVXf5Xdad8eKlOfzIjfE2tSMPXyAryM/kgIhvHBxE/i855RgkRBJNhqlar2NnZcUUVURfHmCFmYPKhHolERAtKoJBOp+VcyayGw2zVXu4AACAASURBVGE0Gg1cv34d3W5XHvThcFhAOGOEDMMQRzdzQmezmeSjElARFKjmNLJ6fKATPJGpA/ad3ZPJRJZ9ucRL4M9+ZXnXfr+Pfr8vVaJYBYrHouZgcjmYMgteB25DAEWWcmdnB1euXJF+8Jq1eNxkBjmWxuOxJAGQebZtW44nEAiIxKBYLIqul4yzbdtS0KHT6aDX60kxA+ahVioVud48H4I9Mtpk4C3LQrvddhmHeExkTrmsPZvN0Ol0XLmq6lgmUOW2ZJVpumJjgoKqMaaBkMvmXJHg/cExS30yJxHqfcY+VitUqTpU1aTkZSK9LCnHptrUiSU/z8tuqqsmKtClocy7uqLeA96oLP6/N2VEfY3vVxM1VBPae7HNY0Ju13544ZEDr6nsCuDoEhnCz8b/V9lWdf9ethPYN8eozWvOWErkHR2jR/MK4IAu7pH8cakUxEaWdJ4ezvva6czygfffbts/zH0QP1l+n+s1sqzzDDPeVoimDvQh259lnnH9/ony42KYYeO+511blakEnOgxAHPNOV4261PlJxD0G67zJTvmPdZwIIhkKComOXUfTxVOHdgXKzexleNZp+CAMjb4WTTMscWDEQT9husYuM089s57rCfSiyhEUy62lI0V09RzKMbSLqMZ9+E9rnmNfTfv2nj722uAAvaNd/OYRq85UmW176YF/YZLI8zmvTaAw3Kr9z7Pa9695D1WQw9IhS9vu5029W6Z1TuCVdXpTyCjLtvxYcolS0bv8MHe7XbR6/XQ6/VczCuZvd3dXTQaDVmGVfdJ9pHsTLvdRqPRwM7ODjY3N7G2toZqtSqAdTgcotlsytIsHeCq2SObzaJUKkm00fb2tmheCZLq9bqAtWQyCU3TUK1WsbS0hGazib/8y79EpVKRLNButytGHzrvCXJZdlVNHjBNE41GQ8BuNBqViCMCxUAgIMvPlAaoxhgWM+D1IEvJv08mEzEWsT+pAWUsVjqdFoBO4Mz/Z0lblnElC0jZg2rqGY1GuHDhAq5fvy7xVnTIq1pLHiOZcjKTjAhjLBeXyUOhEBYWFpBIJHDr1i0cOXIEGxsbOHbsGDRNQ71eF6B64sQJmKaJ7e1tbG5uolgsIp/Py+sAxJCXSqWEfRwOh8Li09xGZpjHSUZ0OnWqi/F6cmzrui7jNBQKyUSFZVk1TcPOzg5CoRB2dnbQbDbluvJeqtfr2NjYwK1bt0QvTcPZ9vY2KpWKmOMYjcV7kv/i8biLoeVEiGkYBLXe9A4vsARwAEiq4FT9ScCobk/NuXcZX9X0UrrB41SZUdVwqR4rryH7TAXY3uV/7/m815rIOOY8BAhgvO3F7jXX77pPx/tS+9tGjJBjhIpmoCugzgdNlhJVsObTfPiV0vtdUoKA7nec+JpfHobxYAQn0ov4B4lHBYQaegDD6QRnUoeRNPbBalAP4Ex2BVNrJiDW0J1qP6GA4RorDwcX8NuFZ8Vkw329tvAIooF9s0c8GMGikUYkEBTTFV9/f/FeRAMhF7D4qd0X4IO7Xz+39TI+UX7cFfmj7xlSFmIZARY+zYfWqI9cOIGpMnnneTzxI/vlXouxNC5NaliMZ5FWgMMfbr+Mny4/6ZJ3JENRnEgv4lAw6wI0F9rr+EDxPhhKHwDA1tPHoSnnoGka/qp7BdFA0FXD3rRmKMezUmSC5zCzLDyROo7N/n54/sy2UIyl8U5vU4Br0G/gWKqML6YPu/qwNe7jb6Uews3Rvj62Nmrj6cJp/EzsPpcjfmZbOBTLuvq8Mxng/uwRmNZM+lb36TiRXkQxvO9S92k+rPfqeCZxHJuD/UIUAd2PE+lFHI+UXABqYI7xVPwY6qOOvDaZTVGOZ8UQxM8NB4L488zT+EjpLAAHFJ9OLeGR/HH8QfoZSSB4pfQILq6exb3pZQG8q6kFPJm/B8uJAhZj+ykWU2uG05llxxSmpAzEjDCy4YQUjACAmBE6ALaZUjAPKB5NFOfGhakFJ9jygbirmIffpyMVisGybdeEztADKEXTrvea1hTpcMylZ9Y0DTEj7DIUchIW0P2usXindleaVe/vfPioelTq6/iTbmOVVVEfQGQ91WU9AuDBYCAgZzAYyIN6Op26wuRHo5EAHQIRusDz+TwymYzkgXJ5nCYPMlp0jvf7fVc9+H6/j2QyiWTS+QJttVo4efIkUqkUqtUqrl+/jpMnTyKTyWBjY8PFFBIw9Ho9ia6azWbo9XqIRCISHk9GrNvtulzNajQSWcDRaCT9Y1mWyCK4VE+jFqUNav6qqgV88803xbjEzFjKONh3KuNLQxvZbjKUdPITEOzs7KBarUrOrerqZrIDl6xpOqPcQg2xJ3tIOcl06pTINQxDzGbj8RjNZhOtVkuuq2VZyGQyIlXg9SCzTYMYj4H9TJMe9ZQsfct+Y4oDz73X6wngJ+tJFpTny8IVnADlcjlkMhmJauOkgNebmmGypmRnW62Wi2VU9aFkfdX3k3X3Rk2pUh5VAgG4TUkcC/MAn/q7l9Xktea2XqaWQJLsvapr5feBqp9VDXC3m3V7J9E8RvXv71XNqt+nI+Q3XMADmB/yX4yl8d8sPuOq3gQAD2dX8WpnvyKUbdvomSOkAzHEAvvsVdAfQMaIYTw1BeyFA0H88sL78WvVF/By7bJsezy+gO9P34sr3W0p0xnUA/hk+AR+396WikpBfwAhPYCwFsBIAYDD6QRjy0TYbwgQN60pzjXX8F/lH8PZzIps+6/r38R/33kZn8w9JMfVmwzxdP0tfK14TABVfzLCV2pv42/nHscH8/fK+/uTEV5pXsUjqaOI7rF1tm1jMjPxT39weIBF/Xzlmweugb4HtngdaHSL+fdKOisP6R8sPIA3/3gflE6tGTYGDfxy+AwORfYBjQ0bf1B5xfXe3mSErjlEwheUlAQACPsN3BzVMJxOxBgDAOXnr2DzA0f3P9O2sdlr4JdSj7rAkzmbYmCOXYDCMRj5cWm4I1XAACASCOKp+DEMzLHLjPZPfKv4hYkpoLAUTSMbiuOFaRWN0f53bchv4LA/gZsYSX/rPh980KBBg6W4201rhsaki4DimvdpGprjHlKBqJiLgv4ADN2PMZyKZarpx7Rm8Gv74MnQA0gEI7g43nGZnvLhJI5FSqgN2zLmni3eh8/HH8OP9F7FlyvnnfMyUvifcBh/b1bGr+EmdiaOjvNHBzfxN3Zb+H+yCfxRxNED96YjrA2rWA0XsBLeZzv75hg3uhVElYmTE0sWwHhmSsoC4Gh/N7p1VyTWzJoh5A9gND2oL73eqcDb5rGqAFAz3bm0k9kUE8spX6uC+3Q4hqbXuGbbGE/NAyTDcDpB2G8ceB24e2b1W2pWCSTVpWCCIbKWZKkIVNvt9gFWkA83VZNKYxIZUGoCmcHIJfd2uy0xWFzaJQPJYyIIJGOXSqWkfCUA18NU13Vhobg8X6vVUCgUpAITz4lRPP1+XzJUdV3HwsKCgBM60Y8ePSoxVdPpFEtLS+h2u0gkElKFKx6PS8QTDUNXr17F7/7u72J3dxflchn5fB7PPPMMDh06JCCW5VQJWinFUE1QNO00Gg289dZb+NznPudaViUoePLJJ1EqlfDqq6+i2WyKpvWRRx5BLpcTkEyDEk1LBN6dTgdXrlxBvV7HjRs35Domk0l8//d/PxYWFlAulzEej1EqlaBpmpQ8Zc5tMpnE5uamaHp3dnYExNApz/64ceMGbty4gTNnzgi4z2azuHHjBhKJBBYWnOWvRqMhmab33HMPzpw5gwsXLsg44HFy4hAMBoWVT6edGSIrSqlmJpZj7ff72NjYQKFQkNc2NjZg2zZWVlYOyCZ4LTRNEzac0WNkyNXJHnNlm80mer2epEPouo5EIoFYLIZyuYxoNCr5qxzvPD+CPDVLlWPZ66qn/EItR8z7Q/1dnewQHKuFLLgKwAQO0zSFIW6327Iv1dmvrqQAkOMl2+oF1WpqgcrAqp/h/X/LsvCLv/iL7znN6rupHPXDC4/gj7dfnfs3xwy0/zCKGI6MxtD9wpzQ9DSvspXu08XQAzjL/xeb63NjsrxVhuLBCGzbRjoUw3rHYeBykSTqg/aBbcn2PJRbxau1KwDcBiu1DKv6N+/770kfwoXmrTtuCzhL8T8wCeEn6l8BsG9A+Xj5MXxu6+W5fentw7gRPmBM+bPMM/hY82vyO/vv4wuP4rNbL8lrM2uGnyy/D7+/9Q3X+1dTC7jW2pbfWWFp3iTFO5ljLuyPFx7GZ7ZelGMdTEYHqoOdTB/CznBXyoYCzvL/C9WLc6s6LcQyLgbv6cJpXOxtIKgHpLTp04XTeL56AUuJvFxvHsPMsmDofimQwOPxbqseM9vpzDLq4w5SRhSXdzdd2x6K51zlfI+lyuhOh+hPRnIO3MfdVEjjtZkbA+fpb0k0UcxYfI3GNu/7DT1woHjGvMpv3racKKAyaLm2814TtlQohkORLM4rKRw8n7s5r2Qoiu54KMkCavO+/3aEwrdVwUo1K3gduXxQkUFVl3xVeYCXjVHjbfjZZFsIJmiaUjV03CfZT4JQMnmDwUB0fMxeJbtI8EUGiNpSTXNimwAgn8+L0YblNYfDoSyP02ATDAYxHA5Fc9vv9yV/lU7uXC4nrBhBxNLSkpw7g+m5D4IbXjwCOtVMAziAlekDvV7PVdtevUYXL17Ea6+9JgY4dQle0zRsb2+LcUsFvQQ1zGrldeF24XBYslIJHrgNrztBlqqBJQvIxuvi9/vR6XTE3U9gb5om2u02kskkTNPElStXhIXe2dkRZ3m5XMbGxgYymQxisRhqtZoY4shgEvBy4sGoNE50ksmkjGuC12g0iuFwKJWrCLJt2yka4dV66rruqijFccpr1O/3hTH2+50SrpPJBLVaDe12G9VqVVYUyJpzyZxJCCwicOvWLTH7pdNpHD16FNls1lXlDIAcC48b2GftyWTzXub4UbXGqnOck01VC6qumPCfGmXF8cj/50REZdFVCYA6VjhO1VQCNdJLHeve7yv1b+9VZvXdVI66HVCd1wZ77mX1od0YdORv85q6XH2x6cQ9zaue5G3d8QAxI+wCI/WBs0zurUhEdzWBqroPL1C93TH6NN8BoHqnRqAK7Ff8+VZAFdjvQy8Ymddm1gw+zSdAla8BOABU5zUCrnmVyLzNnE0R9BsCVHmswMHqYJd2N5AMRQWoAsAL1Yuufd6pPV+9gGwkIUCVr81rg8kIQb/hquTF4/EC1XntQvMWCtHUAaA6r11tbaEYS7vOgfu4mwppvDZ3M75VB7/3tduNjXmg9FsBVcCpFubVuM4DqgDQGvVcTD4AV5rFt2rtUR8+zXdXVbDe7ffzHWUA6hLjcDhEv98XMNLpdKRyUKvVQq1WQ6PREIc+dasECQRdZGP5HoI65qhyCZS6NsBxVNdqNZd5iuCKLC3NKwRJmUzGVTCAD7zJZCIGHZ/Ph1wuJ1pSOs69gIb165kWEI1G0e/3EYlEsLq6KjXcJ5MJtre3cevWLWHHbt26hfX1dQEANHMRTEciEfh8PskK5TF0Oh1Uq1U5LzLHlC9QwkBQSc3m5cuX8frrr+PmzZuy3OzNoxyPx6jVahK/xP6MRqMuVo0ZnzSeUTagygFUdpvXlaVB2c+UGPCzIpGILJ37/X7s7u4iFAqhWCyKppS64UajgVwuh1OnTgmDvby8LHpOaqNffvllBINBHDp0CLlcDsPhEBcvXkQ+7+iENjY2UKvVpO9s2xajUiwWE221ZVkiZ2D/3bhxwyUHGA6HYoTz+/3I5/MyyVAnYQTzlKiwuti5c+fw/PPP4y/+4i/w4osvolariTaWcWvpdBrFYhELCwtIpVIiUWi1WqJxvX79Oi5fvowrV65gbW0NGxsb4r4H9ivG0RDHIgGqG9+2bTEpcvVCNXdxMkoJimqQVCee3I/3vZygcoxwe34XqPIQsqjsd3WyxO1VEDpPo8ox9t02v6qTt7F/5y0JemUEK8kidM3nevBxuXGegUXXfK7X+T6v1g6AyALYIkYIkz0AxUZtrPfBmwnHEfQHXHo6GnbmmZ68uY73ZQ7D79PnVvnxPqBfW3gEf9l+xzUumz952vs2aV7TVjwYgd+nz702n55ddv3u6F0DruOi7vEDxfsOvF9d6gf2DVfzzG+qZAIALq6eRSoUnWvi8b4/oPsxmpquylKUVXyi/PiBfY09wOXh3DH4fTq+r/SAvMbIrAei7nFUjmfxQPqIa8zQADVPm+kFQEuJPAbmeG51JVWGADhjpdLbxfO5fQMd9/HpRbf5DZhfWQuYXy3Ka3J7onAPIkbIFR11p/tVg+a6Dne7dM42nk6kmpnaqLlV28ag4ToWjoN5+/R75Abzzp3tbsDundq3BKt8MPHhwyVLLp8ykF99TTVZqMwqsE/9knFRpQWDwUDMVL1eD/V6XZZ2CZoJPLnsXCwWkclkJFSdDm3qYemWp+6Sy8hk82azmTCyNMXEYjEB2Hyot1otYR273S4ikQiuXr2KW7duYWlpCalUSnJaqftst9tSWpSOcDJx1BYSzAMQlz+rf9m2LXFAXGZlf1Jfyj7VNE2qN3mZJTKnvKb1eh3nz58Xxo/Lslxm5bFwEsEMWfY/l+nVMp787FarJc581ZFt2072KgBhjslI0hxGMEpw7vP5xIy2traGdruNZrOJzc1NAc0rKyuIxWLodDpyDDTSXblyBYlEwsXaUY9MAMeJA/XG3IZGKeqFyX5zHxy71Eyr2kyyiOzT6XSKXq+Hra0tXLt2DRcuXBAAzEmTN66J2anJZFLGNRt1xDTIcSJJGQ51zKoBD8CBYgC8LvypLvcTnKr3ssqk8t4mOFT/37uNV++qNq+G1fs7m/q+eSBV7X/1eN/LbavrVGdS26nMEj5VfgLA/nexpmnY7jUFBPg0HwrRlFQHApwH1lq7gkgg6GJzZnuB6heat1yAwqf5cCZ92MVWjqcTBP0GNrp1FzjOhON4InNCwFU4ENxjIN1LnJXeLoqxNMbTiYCqeDCC5tAJ/FdZqku7GziZPoTJbF8/93ThND5aut/1gD2TXcH55k3EjJCLKTySLOFk+tCeUc35TjT0AB7efhW6km0JAJnfv3AAsOo+HfFgBFEjJJrCwN5S9lI0h61uQ/R/mqbh04vP4NHoYZeJZ7vXRGQvU5RtvVPDUiKPr1bOy3HpPh2GHsBCMO3SFF5rOVmmZL/ZPl5+7ACIPnXtHAyf38XK83o1Bh05Lk3TYM6mWE2UsNbe10H2JkPEjDA+u/WSnG/ECCETjuNn0w8JWIwHI3itfhU/lDiNL+68Ie8/33QyXv/LcVSAnbEnE1gJpFzL9VdbWziWKguLBzhj5unCaUQCQXmNzHwunHCx8ZrmAL/lWN41mZnMTHw9/zieru+z1swM/WebX8OvlD8kr6dCMUT0oBgFH8jta4CHezpfwJlg/Wz5SaSC+8D6/uwRvFh9B+VIxqUV3+o2DgBWfc/clI8mXddRfaZ7G0sYq+1MdgVvNdYObPulnXOufgEg45ON48D73T3PNDU0xweO63ZJG++23VEGQEMS2VA+GNVMxU6nI9mKfLCpZhlg/+HijZ9hiUlqUwkMWq2WsLg+nw/RaBS5nPNFqD7U6EgnGIjFYlhYWBAGSY0e4vJwqVRygYRWqyWlTbnszqX9wWCAcrmMer2Ora0tyXhtNBqYzWZIpVJScpTmH2pBl5eXsby8DF3XkclkROvKcyUrWSqVEIvFUCqVUK/X0ev1JNeTEwPqJ/kQtyxLSs7SGKSacVhOVl3CJyilQYnXksdSKBTE9U5g7/P5pGISwQ01s6phSc237Ha7WFtbQ6lUkjxSgodoNCoVnggqNU1DIpFwmaR2dnaE0Z5MJqhUKgiFQmg0Gjh79qxIN9hnpVIJTz75JC5duoRKpYJTp06Jy55mqmLRmQVTRqFpmhRlIJtOqQhZUGqL8/k81tfXxTjHylOmaSKdTrvYZU6OaLwyTRNra2u4fv06vvKVr4gum2PVq8nkuGUyRDwel8kJVyIASI4wSwFz4tVoNORe5WSA94talYwMqfoFxMkJP0sF3jTz8bz4k9IRatTJzKrB/vxs9q+qV+VxEjipx6BqbL0Zqur7VKkBG+U778X2VOEUDvuT+IOtb+DF6jvy+v9eehZ/d+fLuAhnOT4RjOB4vIxlfwp/WnsTN7v7buHuZIiVeEEe8j5NQ8QI4ZH4EbymrclD9lRmCfeHynihd13Y0aVEHv9p/B58rn3epSF8LH8CRwJpvNi7gbHlsG0EM/+mdxHrXWfJNew3EDfCWIkUUAt2cKPt5CQvxDKI+IMIxHPomkO0R32Mp06ZzJOJRawP67KEGvQb2Bnu4tniGbzWvo72qI+XG1fg13V8Nvkkfn5yDpXeLm50K4gHI/iF9CN4PtmQh/dGr46A7sd/vvA+/HHzHNqjPsy9akHffCSD1a8PXNKHzO+7l7F1zYd0MAYbNnb2qgGx1OjUdlzsakD6a5MqPuVbxOf2wGI6HEPaiEHfSxAgiEyGong4ehitcd8x3NjO+8vxDIbWxMWG6z4dg+lYQvTZ/mjnNfx64QN4He4EiFcfS6L07+vynRAxQiiEk7jZqcr+fZoPqXAU9XFHtLqAoyf+VPp+/ObOixjtleScWRZ+IfcInpvVhfWd2RaWEnnomubSZuYiSXxPaAW7pk/MRTPbQswIIwG/axwF/Qb60xEiexXTYDv7utjbwPemTuOzo1dAP1bMCONIKI/OZIDuZOgkG0BDIZTEaK9IBLBfMvfDrTdcBMz/VnoWP/XoOhb/bA3/YPurABwQnQslENGDaI8decDbu7cQMUKIBUJ4IrGK13o3sdGto9Lbxb+dvolfTzyOT3e/Asu28GbDqRr2ycgJ/IkeFKkKJ40n04ew1q1iPJ1gZs0Q9AcQ0HRXfxP8nUgvoj8dYaNbRzwYQSoYxU5/94A2dB5QZSEHNpm4DnddWlrAAfLe14bTCdKhmIwt/i0VirrGLJtTCMPp83AgCGOPoQfuTs5wR7CqZqYSpPT7fQGHZCm5DMiHE8GAt0IOH1LqA4xmKuoxyZBwaV594AQCAeTzeVkiZrQSnd+JREJq0ScSCXm4kWXlsmMkEhFmDoAwfgBkuXcwGMjDLxqNYmlpCdevX3flRYZCITGCTSYTLC0tYTQaSXlPAtNYLCZ6V4bGW5YlpVopWygUCqJNVM0qqs5P1YyyH3l+lAQw/onSBsAZiMFgEKdOncLGxgZCoRDW1tYkg5SGHZVJYyaoysSpbJ034QEAut0utra2XEkRNPGQnaWbnqCGBiLAWbqu1+s4evQoLly4gHK5jH6/L4Y4Au3d3V0sLCxIusB0OsXVq1eh6zrOnj2LTqeDXC4nJifqXNUxyPFGHTI1q2S3ObYMw0CtVkMqlRJzFCdgPG8yqASslBW022288soruHz5Mmq1mlwLAm5V00sARqaVEwbLspBKpcSEqLKJPH9O0EzTlJUDNcWB58z7mceguu/Ve5MglT+9sVV30quq26q6XvYN+4CN53Knpa15Ynx1bHu34zG8F9sL1Yu44WFoPlV+Ar8zuuJ6LR9K4tXaFWzGMhhPJ/urL3sO9ok1lQfUaOqs2GyaLRcbdLG5Di2jYb1TE5bKtm18eXgT3cnQBeherl3G1p6phdumgzE8Z27DhlLSeNSXY1AZse1eUwwlZN9mtoXJxERl3HJp/cZ7x/vlylt4MLeK10fXMJmZmFoz/LbRwXH/Aiq9XdEn/slk3aXtnFkWptYY3xiuIxOMoz3q78uoWv7banTZ/LqO2rCNoB4QdzpNJ4PpGOPpRAwnuk/HxJ5ipu2P36k1w9XWFlZTC66HfnvUx641Qnc8QNBv7DHbPgxnE4R1Yy/uaW/Vcu8aDveqTREQ3E4raFvuvw0mI3T3GDUeVyQQlCpiqi6xPmhjKzUWUAMA0UAQ1zDCrXED5t45GD4/1js1bEeXXdfLef8IyUBEUgZ0zYfeZIgOpq7+ZrWuwWSEgO7HDM5EoDcZoWmNYOh+DK2ZXNua2UVz2EXMCMOcTeH36ehN9+Vvtm1Dg4aZNYPlc/sr/rudL+P6N5/BZHbFYZdtJ/lgs99APBk+0F+2beML26/hgdxRYYMt28ZV/wz5aBKV3q7s8xWr5dJU87Mu7W6Iscun+TC1ZpjBcvU3geGl3Y39NADbwma34QKU7zYVxbZtKYPqbZZtHfg8Gwc/ezKbusYsP6uvXMOpNXNNoO6m3ZGbVZekudw/GAxcFan4QOYyJNkVgh6aU/iPgI1L2ATA/X5fHnRkWemAVo1WqVQK2WxWckK57J1Op8Vow2VUBr7n83nRJgIQzSW3mU6nwhDzC5tVr/r9vlT/YRYoAMnYzOVywgZTykAgyhik4XAopV2ZY0o9HwF2oVCQZV0up1MKoAJ/y7IEnIfDYWFf6co2TVP+psoBCMoajQaazSY2NjYEqHDJl5/BiQf1lrxOgMPoMQqMYICAiyCf0gkCGLKWKjvW7/fh9/vF7c79h0IhiXmilrHf72NxcVE+s9/vIxQKCTPKPNNEIoGjR49C13XpO4Imxm2RsSb7TLDM7Sl5UdlKpkao0WSqXIJgnsCfIH1nZwcXL17Em2++ie3tbWiaJrpUglv2HxuvtWrsYtlWVmBTrytd9iroVeUAaoUpTj4p3+G9zdUSVd6gLq3fDqB6TZUqYOX96v2nniubKiNhH6j3vHdbdbJ0u2PlffpebOV41rWMBwCf2XpRDE5sV1tb4gr2PoTM2RSVQctVgjXoN3Ctu+PS6p3OLONC89ZenXrnYbrRreNC8xams5lr+Y/ua5VVvNbaxsu1y6gP95c4LdtC0G+gNxm5ljMJuFQTDE1I3pKaZKFOpg/h9fo112d/sfKmy9ATDgQPlBpl6cpLuxvC7ALO2Hzsyg5em1NEQZUCDCYjDM2xU09dMd6U41m0JwPEgxFhv2bWYIVitwAAIABJREFUDK/Xr+H/GL4t16A96iMcCGKr33RJJj5QvA9frZzHUiIv4NOcTVHp7WI4m7hAApMaVlMLLubKsi18xnQbz3SfjvtfbuDi6tkD71eXgLvjAVaSRYympkty8Iny4/js1kuIGWEZM81hF5/ZehHNcVfAZmvUw/eVHsA3utddmb+fLD+Of731El61OwJiJjMTh+I5rJkt1/I4nfnHUmXpQ8u2MJ5O8NXGRRcIyoTjWOtVsZTIy5hhudT6sOMyOj2fex/G04lLGvDpxWfwzza/hmQoKn3bGvUwNMfYNfeTMszZ1MVgv1G/Ln/rjgf4541XZJJn2zaKsTS+1nzngEwHcO5fGrss25JyvN4iHYAzHtm3g8noAMi0bfu2WlWVVVX3bXm+c/nd4JUCzKyZK+aLre8pI8umguBvR796x+iq5557ziaI6/V68pCjRo4PPnU5US2ByIcy9Ycq2GBs03g8RrfbFaDAeumBQADFYlEc3Mlk0uVCJxNLsEGDVj6fFyNQv98XRoqfGQqFMJvNUK1WMR6PkUqlBBTU63Vhp+jcZn4po6a63S6azSZqtRri8Tj6/T6WlpbEXOTz+VAqlQSAdrtdVCoVLC8vI5fLIZ1OYzAYIJVKuR7s77zzDs6dO4fPf/7zmE6nWF5eRqFQwEc+8hFhyQAIq9dsNhEIBCRmy7adSCnbtlGtVrG2tobXX39dTFgAXA9/slyGYeCRRx5xXStmqNJwxevK5ftms4m3334bjUYDly5dgqZpYg4LhULIZrP4+Mc/jmg0invucW7GcDgsJVKZm9rtdgX0knHmvshKN5tNufZvvvkmxuMx8vk82u02fD4fstksotEo0uk0tre3USqVsL29jUajIX195coVfPzjH8d4PEahUJCytWRMY7EYWq0WYrEYut0u4vG4K6XBtm3cvHkTo9EI8Xhcxhu1yZQaRCIRSS+4du0a/uqv/grVahWDwUBYUhYkoFwjl8uJHIATKLXEKBlp3n/nzp1Dv99HLpdDPB7HysoK4vE4CoWCAF1OlpgTzM+ifAeAgHYCUN6z1MIS+KrjhRNQdbWFWcicNPG1fr8vk1ZOuAjA1b7gJIwTNY5zbsN7Wc3+9TKw/DL1arQ1TcOv/uqvvueiq/6/Pobvtu+277bvtm+3fVvlVsmSsjqVWqGq1+sJYFXdz/PCvMnQqsDYG1nDh6FavlLNYOQDSzWesDpPJpNBOBx2Zhl7zmZqVLlESXaYjCGr+rRaLdEnUt9HneR0OpVcTsuyJDJrcXERi4uLKJVKKBQKaDabiEQiOHLkCJLJpABl23aijvL5PNbW1nDlyhVYliUxRywh2+l0EAwGUSwWkU6n5WFv27YAeeaUEnCQrVTd+9yG+ZtkAcmcqsut/Edml+BEjQrq9/uupAVVy0oQxWupMnuMYdI0TVhfahbpFCebGY/HZcLB42u32yJ/IEvOCcRDDz2EbreLdDot8gAarJjSwHMgeOe1U407NIGRXeQ4ZmUpVQJBsKlqVVWQyr7ktblw4QLOnz8v8pZSqYRMJnNge45LyiTIPKrlUXn+atC/bdty/7F/VV2pysCrlePIRlJ+EYlEhIUnSAbgMlN5mVFgnwFVX1OBpHrvq39XZQBsXkOVCjg5HtTX1f2qy/2qFIHa1/cyuwoA/3P5gwde84aFk/mc50T2mjQey584YJYgu8ZSkWrTNA0fmuNan+dOn+eaN/SAy/nPMq3eyQqNXSrTx2pY88pSevd1JruCcCA4txykN03gwdwqfJ5EhN5f/oMD72Pz7p/nPq/cqnf/Ps15jj6SPy6v8dznudO9+6KTneVg1XYivej6/c2lB5GNJFzjg9fUWx436DeQjSRcY4bnM4/F846tbCSBYiyNf154Vl5jKVDvtg/mVp0KTsqY4bbz0gDU8rz8/Viq7Cqhyua9tkeSJZTjWfyyct+Q+ZwnUfKOeY6reaVZvftfSRaxEMu40gB47PP2pWmaq8wwr9O8ceRtQb8hY+l2x65u6/0OV418845LbbcrqfqdaHcEq41GA7VaDZVKBTs7O9jZ2UGlUkG9Xkez2ZTqQOpyJR+AZAP5IAyFQvJ6NBqVkp4s3VksFrG4uIilpSXkcjkUi0Ukk0nkcjmpAJTP56WUZjqdRqlUwtLSkrwvk8kIQ8ilYT7QuB9qW8PhMHK5HEKhkFRz6nQ6AhZoBmo2m8LwTKdTNJtNrK2tyYPdNE1x/DebTRQKBYxGI/j9ftTrddRqNQQCASkiQKZtd3fX5ejO5XJYXFzEBz/4Qayurkq0V7VaxbVr18RYoy75k8mNRqMIh8MinQgEAiI74Pl7wYZt23jwwQdx9uxZYRC51M1/7K9wOIxisSgAmMdgmibi8TiSyaSLDVSD7QG4ihLw+pimKVm5x44dE+YsHA7LOe3s7CCZTGJ9fR3nz59HOp3GxYsXhU09efIkms0mKpUKvva1r6FUKmFrawvf+MY3JN3hypUrWF1dxc2bN4Ul5qTFtm3EYjGRB1AL3Wq1xIBVr9eFNSXADofDEuXFeK7p1CnH+txzz+Htt9+WqmQLCws4fvw4VlZWUCqVZF8EYqPRSCYVNHBxXDADV9d1SQVIp9NybKpmVo3e4goI0xNqtRq2t7exvb0t1eAo69E0Ta4hrz9L7Kosr8qEeoE0QbT3d06o5lXN8oLWeekg6tL+PNkBi45wAsTfyehSF/xea3zY/F73vGsSYegBfLRw5gBDHdD9aAy78jDSfToy4TgOK25p3afj5rCGoN/9gI8bYSzEMngyccy1jK5pGv7HhQ+gOd3PpwwHgggHgliNlnAkWQLgPDQfzh3DYjwrS4fBvQpVJ5JlZJWlfQ0aPlF+3AWYC9EU4oEwkqGoC4SuRAv4gQWnehXP4eHcMfyjhQ/heKoskoEHckdx2MggEYy4qkIdS5Xx1ewTrhKXQb+ByriFXCThKs1a+k/+Ifov/ZarXwK6H//LwrMoRJKucq9h3cBKsoiQHnCVJX1t4RGnUhQJAM2HoD+A9xfuxbnmmnyuT/MhoPvxr2rufNyg38CPFx529UFnPEAmHMe/q73pAhwfLd2PHw4fc4G1BzfePJAG0N5b8l/v1Q8AlkcTR11mLpbd7U6HruSAcCCIz4dXBUgHdD+m1gyvnirgt6z982qOurgvcxh/mjjsGgfXeztYiuVcy83ctjcZuY7rTHYFK7GCnJemaRhNJzgbXsSNTsUFrDRNw/+Vflpe0306RrMJfidwGr/b3k8pWB/W8TfL70PIb7iA2KfKTyARiLiul+5zJjFbngzTf5X/kKv0cTaSwHA2wYloGV0l0/W+5DI+VnoQq8kFmYBFjBCWEwU8UzjtKj2cDEZQjKURC4RkHMWMMFKhGJKhqBxrMhR1SiT73AkWi+EsfmDhIddxnsos4YH0ESSCEdcyvqZpCPoNFKMpAdea5pRQDfkNV4IFy6iq41D36dB9OnKRpKs8ru7TsRDL3LaSlrfdEax6c1VZUYcPez5wyQzxAavWICfjR82q+lDje6jHy+VyAkRpnqJ5hMvTiURCYqJYTpKMDZdYmU4A7LMww+HQpaUkCAsGg2ISoz6SsUyMqur3+2g0Gmi1WggGg8hkMtja2hL3PwE4AFy4cEH21+v1xGzGbemYp+6T4CAQCCCbzcIwDGSzWUwmE7TbbTFvbW9vY2dnRx74ZF5VJpLMNwBhAtW8SjVzNZPJiBufzCrZRDKNlBCoLCJZaLLurLjFcUBNJUE5AJdmldmy1H9SYkLgyLxRphuQQeTkZ3V1VapBVatVNBoN6fNGw9HpTSYTGUetVgvZbFYqPZH1JtgjWKT8g5IRpjCoZia+pjKkHG+WZUmUGd37rOzESRsnScC+Uc2rW1WXsNnvKqvKFAky3eFwWMx2zE9ldaxWqyW5x5xg8h5Q9alqgoeaRqCOG/V1AlD1H+9pVZvOn2TkuR2/7AC3NEVtqjbVq0lVWVSuGhDsqikE79XoqsVYFv8i90Fs9ty61ffnT+G55n46AIHP4XgB5mwqejJd8yHiD6I/HYuL27Zt1Ppt/FD+AeSj+wzP+1Mn8SPJe/Fc6xK2hs5DOhwI4pcWPoBf337OZSA5kzqMD+fuxVutm9jqO9t2J0NsjZpYCKYR33vo6j4fooEQRpYppTsB4FJrE39UeQ0nU4tIhx39XmPYxfVOBU+lTuBoYl9Le6G9jhfbV3E6uYR40PncG/0Kfmf4Dn4ueAJHos62bzVv4i+qb+GXYg/iewpn5P1XW1v4nvZr+IvkKSXSy6lr/3TiuCuKqDcZIvr4f+3K0tSg4X9tv4r/IXxGTCi2bWMwHSMdiCHi31+ZmsxMPFZ5HS8t3OMCkDPLwhvtGy5gHPYb+KXi0xhOJwIIfJoPP5C/H3/SfMulWQz5DfxQ+gxG04nr2urQYGq2K5fVsi28cm/OzZr7dBSNlJij+P5kMILr4xraCoDMhRN4Kn4M9WFH4owMPYB/mXgCnzI3RaMc8hs4EiviJ27quNHbj77KhOL4hziMvzezpSzqeDrBwBzjVLDkmjQMpxPsjFqu8p265kPbHCCpRzznZaMy67nAoqZp+H/Ze9Mgya7zOvDke7nve1ZlLV1LVzd6Ixo7QAIg0BIXaURtHm0jK2zZoqiQtVgUPSMpaA1F2SHFWAoFRw6aHGloOSTRtsaipCBFURQEgiAIgNi6G71vVdW1V+W+VO7v5fx4db68Lyu70SCHGtPgjajorqy33ndf3nPPd77z/WHqSfxU5Xn57nHrThh9E3/q7UJX+qDQquEv82eQ8IZs+/9l4Sz+kf+QTfNq9vvIBuLQHA5bP/6T/DP4U8+4/F7vtFDrNDGmB2TMA0CuU8WNdg4pdxh+p0eewZQ3gdVWAbXuANg6NR1+3WNbMLSNLoy+aXkh742jSmsXS5UtHItNywIRAE7nb+Bzm6/hnuS8aGFv1nM4V7mJB6LzOBEZLDwzgSjGAzFs75aR27UKc1jG/1aymuja0UfX6CHo9tqAvVPTEfMGUWrV5Xp9TjfS/gh2GhXs7BX7eKN2W83qRz/60T4Tfcrlsmj9OHlR48jkFYaBCagYvqTROxurThFkAYOkJ7UqEo9FeyCekyyimthDD1W1ZKvH40EwGITD4ZCJUmWJyFC1220UCgUJjRK4qPfT6XSQz+fl/Jqm4dKlS6IJpOyg2+0il8sJ+FpcXIRhGDh69KhYLamspWql1Gq1sLm5iStXruAzn/kMyuUyjhw5gmw2iyNHjoiVFAE0WV/qHwnE8/k8Wq0Wzp49i/Pnz6NUKgkY8ng8ePDBB8Xyi/3ORDYuHqinJJAjcFxfX0ehUMDVq1fhcDhwzz33wDAMPPXUUzBNUxLnTpw4gbGxMTz++ONSBjeXy4mGlWCCBvvRaFQqUK2trSGRSCCfz4tUIpVKYXJyEhcvXsTU1JSwhpOTkygUCojH43jqqadw7733wuPxYG5uDlevXkW73caRI0ckyYrPUk30or9uLBYTpweOn6tXr0pUgAUKIpEIPB6PMMe7u7u4efMmvvKVr6Dft7xxS6USrly5glAohJMnTyIUCsHhcGB7extXr14VsOj3+3Hs2DFhi8l0cpzSh5bJa1evXsXVq1fhdDqRTqdx7Ngx8QUmqwpAbMn47LiYiEQiwr6T8eTijP0DQN4Zsu4ARMqjOmLwnPyXEgM1wUu1uwJg+1f9XgAg1lqqJ6yayKdm+A9HCvgZ5RT9fh+///u//5bTrH44+wT+zcYzo/8+VIqVyVjDtjTA/tKVnIDvTx7ESznLwJ72Q3dSipEJO6Pa8PmZzOFxuqR6EY/Hsq1sPLdaPpPJWCzRertzuXQnnJqOg+HxfRY/ql0Qj8syrmriFmDJAYLv+rDts+FymOzTUX0x3If3pxbwav46HHDI9TLhZ1SW9/C5WP51VKnQQ7EJW1Uny88zgKcT87h79TSAQXnc4fKf2VACbaOLeqcl56OP56iyu8MJf59Mn8KvN06jZxrSB78zdgof2np637YJfxjtXhcL4az0N+9nOpzGSnXHdq6Qx2+rdsWFxnazbPsc2P9sfzX7BP5T7Rw8mkuS6tjPj6TvstnAAdjXL2oG//C7dDCaxfXyhvyeCcagwQGP7hK/Wp5r+B74N7XcKvv5TkorOxwOOOCAS3fus4gavgdJMFfOxXOMuq9R4xAYXab4TtvXVW6V+lRmDPf7fUmg4o9qsaMyd8CALSJDRJaE2kV2jApQyRwxAYahUXUSNQxD7IrIBhJUMmFK9QPltfj9fgn/Ut/HSTEQCEiVLIZ2eW9kaGgzdfPmTQntX7t2DWNjY5KVzgdHVi2bzWJ9fV0qC83PzyMQCEgYP5vNSniZoH9mZgYTExOoVqviMVqr1QQQUw+aTCbFSkzNpCYoj8ViSKVSKJWsLETWlKe2lX1MuQDlGi6XC6FQyAZeKhXrC7/VasliY3Z2FmNjY1hZsYy/aQXl8/nkGhuNBnw+n1R6Up9dp9NBsVjExMSEXF+328XExITsm8/nEQ6HEYlEsLS0BJfLJf9Pp9NYX19HNptFOp3G5OQkQqEQWq0Wtra2BMRSz0rAp1aaoqOCz+ezaVUrlYoAJ4JSwzBkTKpMaLlcxtLSkgBhla1k9TVVEkNphsPhEI2pmmxEIKm+Z1wQ8fxsHo/H9pxUP13qjvneUd7CZ0wNOPuGizN1HKnyEZVRVq2u1LC9+m5z0ch9VTspvn9qU62yhvWxZFdV6QP157wOVQev6l3fau1WQHVUIzAYZVUz3FiWlEAVGJSGvJOJ6VZAdVRjVrY6aXNMDLsa8NyqcTwn2mGgOqrRzmiUF+Wo69Ic2j6gCmAfUB3VCOTupC9eyV2zxrLybD6+/hUAd1aqkuVf30ypUAJVYNDPw+U/N2qFPRA5AD7suzey9AKAD+w8jUwwZuuDD209PXLbQqOKoNtn62/ezzBQHdVYQGAY/I1qv7XxDLKhhM39gf08DFRHNTWD/43adr2E8WDcVlhBdVwY1dT+Zj/fSWllfmeO8jIdfrajtuU57uS+2L7RalWj2m3Baj6fR6VSsYXf2BiWJRvKsC5Bnpq1D9hLKLrdbtHpMRRLvaKqI2R2NABb8gQnQl3XhUlSba/IEgWDQQFmZGgIsAm+GRLu9XqIRCKoVqu4du2ahOMBiJ6P4X9N07C+vo719XUxa6f0oNFo4N5770W73carr74q+tHt7W34fD6srq4ilUrhgQceEOaSdlaapiGbzcLv9+PUqVNwOp14/fXX0Wg0EAwGkUwmceDAAQSDQUnIYaEC0zTFXYGMFitr0VUBgAAUwzDk2fEzMuATExNi+K8yc3QZqNfrmJiYQDabhWmaWF9fF7BOILi7u4vt7W0pqcokqEQiITZOqVQKhw4dAgBhxBk2Xl1dFW/aYDAolmC6ruO1114DYIV8s9ksGo0Gtra20Ol0sLa2Br/fj83NTei6LguugwcPwu12o1KpSB+3223JsqdchZIEp9MplcocjkHVK3rYMslsd3cXZ8+eRaFQsC3YCPJarRa2t7eltCvD4CqwUscuGxd4aiSA8gkCXvYNtaZ8v1SgRh0nF4JMLFS3VRd8mqZJsiLfK9VNQrWHImvKRQrt2ChJUEP0wxWvhi2n1JC/yozyMzUJi8wuv1PU7UYlfb3VGhkQMj1qywbjts/I0AyzTMD+Cedkck4MzdnH3P/B1CEbiGVTj0u2ZRT7NuzXSAZTZY7IqA0ziGS91G1nIhksV7b3GeIDe+NCOd2j6aN4Pnd5JEs1XML0ePwALpXX4NIGzNEfpE/h/TtPj2SehgFCwm9VU3Jq+r7+HfVZv98fyQ4fjk3iSmnN9tnwudnfi8ePYO78JdvfDniSuIoBs/p/p0/hI61zKCt9cDI5hzP5xX3n8jjdaHTbts95jfPRcdwob9rONdyHs5ExVLsNsbsCLKZR9e9lOx4/gHJ3F05NR7llkQZkHoNun9hRyT0PJQEF3T70+sY+ZhMAjsWmbSD4ZyYexd/t3rA9x7sTszhbWBrJTj8aXsBndl+W3znWRvXBz3vvwi/Cfv4HQ7O44PTKdfG9GjWO+v3+SCb5TphV4M0BzTtZCH09296q3YqdHW5v6AaghvIYzuNEobJ4nFzVCYI6Nk4owMCTU9W1qp/zbzye6ghAfao6YfIaCCgDgYCE8hk2VDOjyWqpOkp2GLPUdV0X/9hKpYKNjQ1sbGyg2WxKmdepqSmZIPP5vIDOaDSKxcVFuN1uzMzMwOFwoFqtCkvVarVQKpWkfKhpmgKYqM/s9/tIp9OYmZlBv9+XsDT1qazsRMDPPlFth8gIG4YhzgmqlpBJZWTmGOqmppJ9Ri/dYrGIra0tYdkZMt/Y2JDEnmGdIRcNvV4PN27ckMWJ1+uVog3FYhH5fF4WMdFoVEq2JpNJhMNhcQzgQoMM9NTUlEgFLl26JIl0HA+pVAr1el0Sp4Z1qRy79N9lZj4ZP/qsAhDATcYTsIBctVqVREMy1dyPwIlaYpUl5HEJzG7FBKqsKt8LYKAtVd89LtAIYPl/6rwjkYj0A4+hygw4BkZFTkYlUXFhwR/u7/f75T0MBAIIhUJyPer/uSBVkzKH9e3DHrTD4FZdSKtJWByDb8VGBnS1mrMlP5xMziHiHCRpaA4NjT0vU9XM3eFwIOINIOIJyFgPefw4k1+EA/aJhfu/lLtq2x+w9IkqAO4aPbh0p5i5AxagcusuW+Y/w5Uu3bnPED/iDdgKGCT8Ybywc3nftsuVbcxEMmKID1jA5x3pIwi5ffLZj2cfxnM7F/ftfypzAieTc4h6A5Jx/TMTj+J88SbcQyHO9+88jT9In7IBgutHjuEj2Sdt2sX7UwsoNKoCdPlsHs8cw0wkY9NKMvt9FFAFLDP4d43dLf2tOTT8k8xDtsQY9vfc+Uu2RCSX7sT7u/bSrP9852k4HXbgcya/iJPJOVwprdnuo93r4K6IHcDmGxUk/RHcKG9K8prDYSVdHQ1MyLk8TjeWKlv4X2InBagCg1K6j4UOyj24dCfOF28i4Q4JUAUs5jHk8aPeacpx/W4vkv6IVeFMGVv1ThN3+cZxvbxhG59u3YUPYVqO6XA48In15/aV7T1bWMLdiVnxveW20+E0spo9E7/ZtaqF3Shv2t677x67B94RX0XHHSEbgCYRR/N9tY0CqoDFet6J08E/RLtVSVUmDnKcAnb3mDsFvLdlVtVqRpzAySap4WOGIblNu90WtnUYvJCpU4EtWVoCKIYjaSOkJkr0ej0BW2SENE2zFSEg6ySduAceGG6nLRLBha7rAlQJDqn/ZEUgVgra2tqydXQqlcLNmzdFf0vPzJdffhkTExPw+XxoNpsoFouSNBYOh3H27FlcuHABDzzwgEgXDMPA2NgYDMMqNfroo48in8/j9OnTOH36NDY3NxEIBIShJNvLylNqpadqtYp2uy2/cxKnLIKsOIEOgYSaaMN+q1areOWVV9BqtZDP56V0KUEiy8MCgxrzjUYDy8vLWFtbg67ryGaz4gtLHXMulxP2vNFoYHJyUhKsJicnUSwWhW0lMM9msyKNWFpaQj6fR61Ww9133y1hbzobVKtVTE5OSv/Pzc1JBKBer4ubAYE5q1hRc0mgR/suakNVecDi4qKw9GooWl2gtVotLC0tyeKMyX+qfIYSAPXFpbSFQFCV2VASQOkGQeewBRUjC6rkhj9er9fGQhLE8v6GvzDVZDO+l3xf1PdzuJCAuu2w7pXb8Rgq86r+MBFOlV/wWGoSFn9/K9tWMWlqsbIlE6/ZN3GjtoX3Jo7jgmPFih5oOnTNBbfmRHcvSxvYG3cODS5Nt8AprKQXn8uD70wex0u1RWHBNIeGu6MzeDF3Rc4V8QSQ8UWRa1Xg1HQJa0a8AQRcXtQ6TalS5NFdkqxUbu+CIyno9iHpC6PWbUq42K274IAD48E4ap2mVd1or5LTz2QexjOtVUnoSvojMPt9/Gj2ITxbu46NWgE3alsY88fwa7EH8dvll9HudfAX+TOIeoP4bOA4Puvx4P/YsEpqfjl3ERPBBP69/178avcSljstfGrLMr3/s+D9+KpXx7/deEau6xdKX8W7xu7Gy+UbKLfqWLh8EZrjMmov/V8Ye/QXUGs3cLa4BJ/Lg3+ZegQbaOOF5gqultbx3M4l6JqG30o9jn9XP43teglT/iR+MHoC53sFLATHJQz949mHcXffj/9182n83dZZABaj9/PJh/HxwktoKUyurum4/raDOHD6sm0c/OTY2/Ff+rv7WNw/cs7indiy7d8zDfjdXhimZbof8QaQ9cex3rTrnKfCKSz4xvCauYTW3gLF5/Jgzp+Bgb6AFLfuxMnYLK4aVZs281BsAo/7ZrBs1iTByjBN+N1eHPdksOzdEWbT7/bC77KSizhmm9023JoTU8FxbO6Vt+0aVgW2ktGEW3eha/ZkfP/U2MP4ZG8A/hywpE0fdB3Gzzo25b6Cbh+K3TpmIhmU2lYxgH6/j5bRQaBvZ3FduhOzoQwuFlcE9PfRx5cKF/HJkzPQclZ/hTx++JxunO/XbPvfk5yH7tDQMNpom13cKG/CrbvwA5l78WebL9m2PZmcg9vhxKuFG1iqWlKC+eg4fJob16qb8r3OpL+DYSvBi8UKuAB7In4EJvr4wtYZyfT/jvBhAMCnN14EMLAum3VbDgWf3zqNw7FJaA4HUi5rUfXs9gVZJLw9YUVLv7R9Xp6jS3PicHQCTaOD6+UNeJ1uuPe04v1+31ap7lbttmBVZTAIpmgHo044wEBvNqxlAyAgVtVVcnJUXQP4OScl1RhcBUMAxIic2xBYquysKklgCwQCtgmToLnX60kiktfrxe7uLnw+H6LRqPhler1ezMzM4MYNK3RQr9dlm1gsJrZeJ06cgK7rWFxcRDQaFfsgJlz5/X7Mzc1JrfdarYaZmRn4/X6pZ59MJlEoFCQh6YUXXsD29jYKhYLo/5rNprC/r80SAAAgAElEQVSSauY4NaEMDQN2vSFZQuooyWwNZ347HJYZ/c7OjhRyYPIV2UkCVVkV7j1jXk+j0ZDQeqvVgsfjQSKREO9SnjOTyQjDzIQfnoOsJO+X44CsXDQalQjA2bNncc8996Df78Pn84mN1oEDB7C9vS1ANBKJCBBnGJthZY4ZjvVmsynyBhYv6Pf7ojuW8I02qHXP0Dn7n8lzatIe/2Uje6xqWMk0ktFVS7ry+MOWUASb7AMVvA2b/qtMMd+bW612eX983uoxCEj53g2DVBYH4N+5uCQw5TUPV8JSIzkAbAtXXkuv17MlX71Vw/9sXaOHttkdGfrr9k0BoD3TQMfowjBNmdj7sN7j7l5CBcPzXbOHjtHH2lC5VbNvwugP5oh+38oyX6puo2catmuotHbRNQ1JDLGOa2C7Ud4X+qx3mjDRt8kFOob1fpRb9UGJSdNEt9/DK92czXkg36jA5/Lgv1S/hkfSd2GjVoDZ7yPXrOCvvTvI+uIoNmvoGlYpz1+P1PGlvckZADxOF0rtOn7Ps4E5bxrLlW0YfRP1ThO/pq3jzMai7bo0U8PfbZ3FfcmDeLV13XpH0Me/+74/xem5WRy8dAFmv49mt40/KJ9GvlER/1SzbwIm8KnOdRwOZKV//2Djq/ue359uvIhXYpO2z/r9PjbQlgUAm2EaMLr2d8Gp6WjAQBfmvhByH459+3f71vPiO+V3enCpuIq4L2R7XqvVHNyaE+VWffBsjR4K3RoCulcY9qw/jq/lruDB1CGbNvNqaR0JVwjdvgGvy41Gp2Vda6eFktm2heAbnRY0ONDstuVcTk1H2+ii2K3D43Sh0RkkBLXMDjpG15b0Y8IapxyzfVgL3o4D+8ahrmnC6tv6HYMxr+9JONqmXUrT7/etMdocsI4do2fd+5Dd8On8QIJA4HcwMo4X6kv7vo/P5Bf3Pb/VWn6flIcyCbWiFvsQsIAnG8fdp+sv2raldvkSBlpxsuqquISSF4JUtXWMLs4Xb4pTxNdTbvW2bgDve9/7+gw/q2F3ggufz4epqSlhHYGBXyJZILUKD7dRmVNqRr1eL6LRqM2fkWCLiRRqBjLBAUEumVEOHjW7nYUEeAxeA70ZeVxN08QsXgUiTEJhlvbS0hJWVlaEETx+/Djy+bwko9FB4T3veQ9qtRouXLiASCSC5eVlzM7Ool6vY2NjAzMzMzh69KhNz3fvvZb3GfuK1/HMM8/ghRdeQD6fx9jYGJ588knJIG82mwiFQhJap89sqVQShphSAk3TkEwmpa9UJluVRRiGga985StYW1tDuVzG1tYWDMPAgQMHEAgE8MADD+DFF1/E2bNnZbwQNOi6jng8LhWWjh07hnvvvVeqkrFyFK2xEomEMGsEat1uFysrKwiFQtjZ2UGz2ZT7o+ThwoULuOuuu0S/e/HiRRmfwWAQ6XQan//85zE7O4v5+XmRCWiahnTaMpbmgsc0TSmZ6/f7pRoTmdhKpYJIJIJYLCb65y9+8YtYXFwU3TBBV6fTQaFQwKuvvgpd1zE9PY1arYZSqSTjyefzyZhaWFgQlwd65TIRKhKJSCi+0+ngb/7mb7CysiL+w29/+9sRjUal2pgqgeECTl0I8nkT8PJdAyCyCDX7HrAXAeC/wywrxwy3Gda5j2Jchy2ouB3ZWlUHy8WIWuCC765aWYvAnPfxyU9+8i2FXN+ogtUoHeut2p1k+N+ufaPbjtLu/X/RRun8bnWuUdveqU7wVu1W/TJKX/tm2pvJwH7X2N3CzLK9mbHxZq51lB71Vs4Qo0oFqy4Pb9TivtA+lo765eF2T3J+X6LcKL3prdoPjj+Az2y+/MYbAvjY2Cn84lAS2feN34e/2nz1jvZ/K7Wvyw2ADAoBgmo1w4QNwJ7Nr2pLOWkyhKnWe+ekzc/5ApOFJXiiybwaelTD/WSgaFivJlkBEJ0dy7gS6DIUShaXIWSaihM0A1aiWaPRQDxumdeyoIBhGAiHw8jn85KF7nA4MD4+jqtXr6JQKCAUCmFychK1Wg0LCwvY2dmRLHZ61zIxKRgMolKpIJPJCGjz+/0wTROHDh1Cs9nEU089hVwuh0uXLmFiYgKTk5MCMhuNBvr9vlh9UR5AcEcphlqdic+PfdXv95HP57G9vY2NjQ2Uy2XJ/k8kEtA0q8Tp4uIiVldXbcluKsPIzyktqNVqAqxN0/JrpUdtu91GOBzG+vo6wuGwPONEIiFlVwnCE4kEcrkcTNPE+Pg4KpUKpqamcOXKFfT7VslZwPKRZXEGjg2yyO122yZlURlAt9stYX0CaAJQNWOeUgK+I+p9EwRyvFUqFXFtIGDkGB7O7Od4VcP9ZDVM0xTvWrKu1HqqDgKqXlNlXlWwyWfDfVRXD55L1YvyM2CwKFGPxWtS+4Ljie8YAb36nqtgVf2XciGCbnVxpWqJVWDL+1S/Q77d7O1OwQgwOqP3m5V8MWrbbwZQBUZnUN/qXKO2/UaAKnDrfvlGgCrw5jKwh4Eq8ObGxpu51lGJU7dyQxgGqgDuGKgCGBlOHgVUAYx0dLhToArgjoEqgH1AFcC3geqbbG8oA+BESfaUSRDpdBp+vx+JREKSLjhZEIRyciKI5UTKyY2ZysViUXSrBFOcPNWQJgDJ3FaZWx6XkzY1q2SRHA6H6FR5bQwts6KQ1+uVBBtN05DL5cQuyul0ol6v4/r16wiHwwKEarWaJFSxtGepVMLc3BxOnjwp2fXz8/O4fPkytre3MTMzg3A4LFrIpaUl8TxVTeMTiYRUEnI6nZicnEQ8Hheg+9xzz+H8+fPiKlAulzE+Pi6MNfXEBBgEalxg0DdVTWRjyPypp57C9vY2SqUSdnd35fwejwfZbBa5XA5nzpyxLUrYCFZU+YXDYRUeKBaLiEQiqNfrci3tdhs7OzsoFotIJBLwer1YX19Hv2+VFOUzyWazwsQ5HA4pTJHJZLC0tASPxyMM7Pd8z/fg4sWLaDQa+LEf+zEp/0oNJ6uTERxRk+z3+1GtVm0JUKVSSbLo1UQvalwJGgl2Acjvbrcb1WoVm5ub0g/sexZHAAZG9gylqg4NaiJivV6XwhSUnxDgMnqhasMJsnlcAkFGCgALgLKqGDDwN1UlPWyjGFZ+rrKt/JvKvBKk8t9hXSp/H8W4skoVP+f/aRXH38m4qiztW7WRKZyNjGGpsgWfyxofD8cW8GplcaSd0Xgwjs16UfSFqUAEhmki36gImziK5WJ2PjWIEW8AtXYTAbd3nw0Pr0tl5nRNR8IXQq3TtLSHew4Cw1n/wIDRG86cjnqDtiQc9X54vMOxScRdQZwr30Sj24bZN/Fk5ji+tH1+XyLTh7NP4Eu9bZwuL0nIlEzYqOs6lTmBp7fPCbv5u2On8OneCk4XFtGH9Z1Y/tl7Ef34a/v6PRtKYLNehAMOODXdFsodxUrynv9r4gn8SOEZANZ3y+9knsQzjgo+q4Ag9hP7h0ku06EUVmo5GOaA+Hk8cwzPbl+wnev7x+/HX26+Is+f2/6z7NvxqY3nbduyD1UPUKem492pE/j7wgU0Oi15fvSAVVvQ7cMnwg/j35rXcam4Ktc87KsLDJhZXpff7UXQ5YVbcyLXrIrFmNk38cn0KXxg52nZVtd0RDx+BF0+rNXyMPvmbb1EOa5VRnw+Oo73BA6KldhwU4/jcbqR+/BjCH/k723bqG4IbLwOjiNWxop5g/tsprjN8LNxOBwjnSW+1dttwSpD6aZpinaOdlCRSESAH2APAQKQsDbZKrURzBA48Xe1NCsna3WCV5MpuB+ZI9V/Up1oVZaPGlWGYQEI4wVYLBb/Pz4+DpfLhUqlAp/Ph1AohF6vh1wuJ4lVrVYLOzs7SCaTWFpawvT0NBwOB86ePYvJyUmMjY1B0zSUy2VEIhFbBj+dBZxOp1ReKpVKyOVymJ6exkMPPSQm9A6HA9GoVct3dnYWBw4cQD6fx+XLl3H69GmMj49L1SuWqGWInfpWJvxUq1VJQqLvJmDJDa5du4bNzU2sr6+jXC4LUCVTm0ql0Gg0cP36dXnmKoPHe2P/83xkfdPptPiotlot5HI5NBoNAelMpEkkErYKaZFIBI1GQwAvNa20y6K7wO7uLt7xjnegVCoJQ9npdAQw0mqLumUWgaD9GQsraJqG5eVlRKNRSYYKBAIyltWQNsefqnlVtcFsw8CPshiV0VTHM8cpF1iUplAXShDL0L2qV1XPqzZd1+UdU/W16jWR0Vd1n/y/mjTG94/jgL+rn6kZ+2RdyXpyrKjgVI12MJqiaqg5Jrgft1X1zcPg963YPE43XJqO70wcw/W2xZYZpolMIIq07ketbY136j41OLAQzmKjNSgT6XW5ccCXwpniQAfqc3kw5UvCRF8YsEfSd8HncOHS7jrKbQsAm/0+DoTTaBkdGH1TwB4n3oDTi0ZXkf04NCQ8IZQVAB3xBqT8KYFhJhhD0OnFZqMkCT9hjx9OTUfQ5YXRNwUc352YxZQ7hhfMHtq9LjpGF/l2FT/iW8AN1xaavQ7QB16vreBHsw/hfMtKLCJg/YPqWTybncB3NINwaToqrV2cb27gV7NP4AudVTSMtuj2PpE+hXclt3C04BaA8B9al/GVtwVw7OUAOkYP9U4TP/EXDtS/8nuIPfGvpJ8M08Bv+u7GQXcTv6KXUDdaOFdYxnTYkil9ITmGTfdRfEfR0q8m/GHoDg1fHpvGD5WWpA81h4YfnlrHr7w2YAv9bi90h4apQBKFzoBxdGo6gs5BJjsBjg6HDZCFPH7EHW5bcpIDDjh1HeNw2wC+z+VB0OVF39+X8eXcKzQw5rAStHitSX8EjxlBLKUW8EruGgBrYRFy+fDEwXX88nlr0dE2upgMJZFyhbGjyAaS/ghS3vDec+3BgIU9Mt4ofJoblU4D7b2qXZpDg3tPU2ooCYRepxsBpwe6psE0TJh9E27dBaeuy9gC6FbhtOm336jdqUzECYdtW5fu3HOlGABNs2/Co7kQcwfRNrqyyOS2mkOTbTWHBk1zIOYNotnroGv0pHRxyO2D2e/L86LbBFuhUcVMJAMHHKh0rHOQpb47MQsAWG3k5fNTGava26sVSwtbae3in2XfDgD4j5svSD8DwAez7wQA/N7ms/L5T2QfAQD8bcVSvQ4D8VHttprV97///X1O1mSUWHUpFovZwCrZnOHkEqfTKbo7/qg1u3u9HorFojBddAVwOAbG5sMlGlXZAZlQNatanbDdbrdce7/fF2sobkcQS5DicDgk458TOsPrLEE6NjaGzc1NMZ3npFytVlGpVBCLxbCxsYGpqSmxpspkMjBNE6+//jo6nQ4eeughBINB7O7uIp/P48KFC3A6nVJ6VtM0PPTQQ5iZmZHwOf1LCYzW19fx6U9/GhsbG2i1WkilUgiFQshmswiFQpiYmBB9sdvtRqfTQb1eF7snJgzdvHkT+XweGxsb2N3dlapO1BADFnjvdru4fPky2u22LZmKz5Qgx+12I5lMIhQKYXp6GuPj4zh69ChcLheOHj2KdruNWq2GdDqNUCiES5cuYXp6Go1GQzL0W62WOBp4PB6srKxI2DuRSODMmTN44IEH0Gw2ce3aNUSjUbTbbaRSKWxsbODatWuYm5tDOBxGpVJBOp3Gzs4ODh48KMCfLCX1j16vFy+++CLS6bT41Xq9XpEazM3Nyb1WKhX8+Z//ua0yE8cL2b/z589jbW0NtVrNJpHgAmB+ft5mNTU2NibRClo70SniypUrePnll7GxsYFgMIjZ2VnMzs7i6NGjNssn9V1gUpr6nNgIVLkQI2hW37NhgK1qXXkMAPsWqeqikuOEERZ10akmYnF7NSFLlf4Ml1FVAS1lAKpmlft94AMfeEtqVsns8N+IN4CFUBbrzQLK7V00u21hHocr5iT9EWgOB0qtOgzTmsjJlo2yUiIDxuNoDg1elxvtXnffpD3MjPpcHnh0F9pGV5hWMkajKvmoTJrqD0s/TLXxOGQnCZYfTd6FjU4ZV0prch1kWNXm1l14R/Iw3qEn8W82nhFGdZTek/f1vvH78NnNV+W4D6YO4Uf0SfyyEgYm202mlWDQAQfGgjFs1AriYTqK6eNnPMf7xu/DY4jgV7e/vK+/f2v8Sfzq5pdsrOJUKImNehFds2d7d39z/En8680v2fanhpSepvQbHaUNJevO6/O7vXg4toAz1WVU2g0YpoHj8QM4X7wpY09tH8+cwm/snka5tStFITpGd1+1LWB/5TSP042oNwDdoaHc3rVVd3o+9RDenvua7Z0AgBPxAzhfWpF+MUwDvzd2Cr80FLKntlUFlu9IH0FGD4oUgMcexRj/4sTj+IFWD08ULCaaxxk1jobZUrfuQtDtRbPX2Se9GH6XXHuOHmqy47di+7o0q0yCkY0V1kxlQ9g4ETPhhcwebXU6nY7UlFdDhLVaTayEqCFk1jAnUJ5bNUkn6CRwBQaTpbo9Jz9Ozpz4CLo4Uar2XIZhoFariXUSga3X60Uul0MkYtXH3t3dFXaSIKPRaODw4cO4cuUKDh48iOnpaZw+fRrpdBqHDx/Ga6+9hldeeQXT09O49957EQqFsL6+js3NTRw8eBCAxXS+9NJLwgKPj48LG8g+zmQyUqozn89jcXERxWJRQtc3btyA1+tFJpOxAXjWkM/n8+h2u9ja2pLnoAL5ZrMpXrDFYlH6jaBD1S2SoSNjDUCSY+jTOjs7i2q1Kr6fmqZha2tLGNdwOCzAkWw+YFVSo1VZIBDA5uYm2u02isUiCoUCTNMU4/3l5WW43W5EIhHMzc3h+eefx8zMjCSbsUwqLdjIYhYKBUl4omyl0WggFovJvRN8MQGM450MHhP4OBZpd8V+ZaMlFgsO0KeU4XxqaVUGdHNzE7lcTt4zyijURSKBIb+sVHaTjQCx37ecAvjcVEDJz9RkxFFtFGhVmWUyserCj+8zz8fPeZ2jHAZ4f9xH9cpVk6l4X8PJXW+1NgxUAYv5eKV1DUG3Tya9UUAVGLCL6oRHoFpp79r2IVD1ON3ymbnHppLx4zVwclU/a3bbtqxuYOAPWu80bQUEOIH7XB75rGN04Xd7cbG8agsXc9JXQZHZN2EaJp7LXxY2qt/vI+IN4Ln8ZbwjfQRf3RnkN3eMLp7NXcKX9gBKu9eBx+nG322dtQEN3tepzAkJwbPfXslfx0t9e7GEpcoWZiNjIglg2L+vMNZXSms2kM3+GvVsP7v5Kj6L/T6XBKoOh0NAlmEaWK5s7wMzuqbj88amyBmAAVClFIDj6EezD+Evdk7bpBwEqupiptFp4entc/C5PHL+88Wb+M6xt+Hl8g3b/h/PnMLPbj8Nn8sjrGZnj1ld2y3YniOBqpqk1e51sF3v2AAlFzXPOQOWS0P+uowDACh0arZtAeCD21/C746dksUFgerwe/LVnUs4Gh/4tN4KqALAx9afxXvij8nvhmkg4Q+j1zf2MavDhTA6RhfFZlf8cTlu2XfqZ2rY/1sVqN6u3ZZZfde73tXnFz6BZyQSgc/nkzKhTJqiGTtD92Q8aLrOiYWAVZ1U6vU6Go2GlOik1IATOA3t1WMNJ29wwueERnZX1c7RV5I/LBSgygTIhNbrdbmfUqkkNkftdhuZTEYm+16vh5WVFRQKBWSzWRuQzmQyyOfzOHfuHN797nfD6XTi3LlzWFhYEL3dmTNnxBmAZVVLpRIefPBB5HI5LC0tYXJyEgcPHsTU1JToUqnDXF5ehmEY2NnZwZUrV9But3HhwgUpsapqBVXG2+v12tgpwNIQqyU2mZimLhKGk9TUEDAXG263G+Hwnql1MolEIoGTJ0+KpRSBVaVSwezsLBwOByKRiK00qKZpWFlZsXnIer1e+dvVq1exsLCAK1euYGpqCmfOnMHDDz8sINswrIIFJ06cwLlz59BoNDA+bnnNmaaJRCIh9+Z2u7G1tSXJPHQeKJfLyGQyklyWyWSk2MLq6iq+8IUviIctj0sQC0BY7Oeff16cGILBIA4dOgSfz4d4PA6v14tkMgmv1yu+vIlEQkArNd2f/vSnsb29Lf356KOPIpPJIJ1O28Aun6XKYhLIEfjxOdJ9gJICdTHKf9UffleoEoFb6VrvRO+q/qifqRrXUQCUY5ZMqvp9MqyP/a7v+q63JLP67fbt9u327fat2G7FrN62gpVspEw8ZJ1oKq8m7ZCx4w+tnFRvSIYb1exlTo5ka4EB88KQKsPWajiQTI7KcDFUT30oiwCoLJCaXU7fUFr+UEvr9/vRaDRQrVbFbSAej0sIORaLCVuXSqUwOzuLZrOJarUqXpEbGxvweDw4duwYrl27hkajgUgkgmLRWiGGw2E88cQTePLJJwU8kqU9d+4cotEojh8/LiBuZWUFpVIJzWZTtIfRaBTxeBzz8/N497vfjSeffBJHjx7F2972NrlPMtWc5FkWdnd3F81mE51OB7u7uzYWW2WmVRcHn8+HcDiMVCplYwhDoZBomtUwMlkxj8eDXC4nGmFaQREY8lrI/nKBUS6XhQEma721tQVd11EsFqFpmrgV6LqO9fV1NBoNrK6uyjl1XUcqlYJpmqLlVTXToZBVcSUSiYilWa/Xk0VSKBSyMYLD74Q6ltUxzRA7F1iBQEBspqhXHa4Cxc/57JrNpvjrEmzyGTCpSo0sqHptsid8L1QnDS4o1feFf1ffPbU4hvq7+qPqRNnUZCu1DUdH+M6p8h3qdNWKa+wratrVxSwTP4erYKmFQd5KjSwlTb7VRp0qW8hjJfndScWb6XAaPpfHdozZyJjtnGpTFzXqNqwe9UbbOhwO27ZqVSC1Jfxha15SKjLNR8dHbjvqXEfj0wh5/Pt8NAGLOVbbfHQcQbfPVimKlaRG9YG6HWBpM0ddw6h2q4pAtzrXcKMh/PA9jNr/YDSLuC8k1acA4AMTjwIYjBF134g3gHuS8/IZz6GyjWzD49Dn8iDo9uGdmeP79h8ehxFvAAl/GFPhlHzGZzusu+T2avuJ7CP4/vH7bffFpo4XAHgoZZnhj+r3n5t4bN9nt2rlD5zc99nwM2DlNo4HYDAmeH9qsyQsSjnuO3j+/3+0OxnXX8+2wBvIAFST8EgkgkAgIC4AZFA52REQcvLgvgRHgBX+pNk6WVbaA5EVYna2rutIJBL7EknUiZOMqq7rwgpykuN1cXIkQ6PruugyCSg4QXo8HrEGos9lu93G9vY2dnd3EY/Hxc+SAHBryxLmMySbSqUwOTmJSqWCL3zhC/D5fMhkMpiZmcH6+rowl51OBy+88AKWl5fh9Xpx6tQpeL1e/O3f/i3cbjcefvhhYQMnJiZw/fp1+Hw+vP7663A6nVhYWIDf78fExAQAiB631Wrhh3/4h7G9vY0jR46g3+/jypUrAIDl5WX0ej1honjdAGzOCgyNezweqUYWCATk/6okolarwe/3o9frSZ/xuHw2ZHW3t7cxPT2NcDgsWk1qfVutloAsXddRrVaFSe33LbeG7e1tBINBZLNZ3LhxAx6PB1NTUzAMA4899phUxyoUClJC1eVyYWtrS2yymMhHXS4rWOm6bnuWBHRqJSs1gWc4GYrvAjBwuWg2m3C5XFhYWJAKZuwjAvtgMIhYLCb/0sWBoe5Lly7hlVdeES/d8fFxzM3NIZVKyWKRAJaLPl6Daq/FZ0w5DqMKqvuGakFF9psSgOEFK/9VzzkMlLlQYhuWDajHUuUI6v/5HcLvh+HETX5nDMsA1ETMt2LzON04EZxCrdNEo9NCxBuA3+nBXYEsvla6jkanJUBwMpREpdOA0Tcl/Phg6hDOFJfkM82hYXO3iJQ/gi0lO71htPGO9BG8mB+Eun0uD346/RB+f+M5W1KKx+mCW/OhrRi0u3UXfC43PLoL+UYVZt8cgCxPAPVuS8LC2WAcbs2JQquGjmmZ+Yc8fkTdARimaSVN7bWEK4RHszP4z9uvwOhbYfD7kgfxP7mn8KnaOZTbu6h3mgi6fQjqXtwTncViY1sSWMaDcfw/3kP4OexgGUC5Vcf9qQX8a2McvxsrYL1dFJujrObHX8TfiV933ESt18RyZRtH4lP4Tcc8/mXnPHZMEx2ji3uS8/hZ7QA+qp2zIgJGF/lGBX+WeAIPTGzjhzYtU/lzhWX8t8QTSKGNj3usMcys8YPRLDSHA3/izuKqEcQ/zn8J6YCla/8T91E843VJZa2JQAKRiB/vcmXxnJHHl7fPI+j24XB4Ar2+ga22VeBB13Ss1HI4GBnHtcqg/OdflM/jN7JP4rdzz4tel0k93xt/myTHAECt07TKrVa3bFIFv8uDfxq+G7/X/Ko4POgODT+bfBB/tntZ9tccDhyMZvEvvHeJZtTjdMPs93FPeAYvlweJY5uNEu5OzOJqdUPOFXT7cCJ6ALlOFdV2Q77z/njjBXxg4lGbvjbo9iHqCaBldFFoWi4+U+EUQroHPpfHKq6wN2yp3/5c/apNkgJAXAbY+F2W+sPzNpmGw+HA8k8uIPofBgb8XaOHI/Ep3KgMKoZZ/aBhpZYToiHk8SPhDcGtOdHotcWJ40T8AJwOHddq1vOqtHaRDSWgYUBcrFZzArzfnrKKCz23cxHAANRP+BMAgIvFFQHOjV5bjgnsLQbhsPoVfXSNHoLuPd/6vYIgzW4bCX8YTk1HqVm3fZfMRsbg0924VFqV53IoNgGnQ8eNqnX/w+4ao9ptwSpBiq7rSCaTAhwJNtXkJzZOUgQpKkOjJnqoSRX0tWSYmn6lqvZ1OMNf0+x12FWmiNuwY2goDmAfg8P9HA6HuBDQlqher9tYXFpCEYRNTU0hGo3izJkzaDabiEajNkbpxIkTqFQqKJfLuHTpEsbGxqRAQDKZxPz8vFSBunjxImKxGNLpNMrlMlZXVxGNRrG2tiaJTpVKRSbonZ0d+Hw+pFIpG+PEylCapkliViAQsCULUaJBppfyBp6n0+mIU4FaUMHv94svLJO9uL3D4UAgEJCwOiEPhEwAACAASURBVMFzOBxGu91GLpcTsEaAy3A9taR0MeA1MlmP1crIcG9sbIh/K6tq8f5rtRomJycFLO7s7ODQoUMol8uSbOZyuVCv14VdpwXV7u6uuD7QiYHjp9PpCFNHplJN8uMP/6Yu1iKRiABCSjBooUXA6vf7BfTyXnu9HhYXF7G9vS1ymEgkIu4Jqj2bGqpXE5FULTcXepL9qw9K6qqMq3pMvufDTWXPVdA6/DmBJxd46r6jVtZk1rkYVRO62LhoUN9dVf/K4/6PqNu6k/Zk+hgmtAD+ZOulwXegaWDCl8BquwiXUkXGrTulPKZTScI5U1zCyfgsXspZIJRVltKeCHKNCkzDepb5RhXl1i6S/rAA42a3jY+tP4sPZt+JG/26+En2+31oyhjhNbg0JzpGb8+2yaqI5dFdaBodKacJWIBI1zSE3D7sdltooIV2r4u1egH3x+ex1SkLgDxTXMJ5fQUn47PYbJewWs3hSnUdm54Sfjr0NnzWs4pX89ehaxo2WkX8ROg4Wt6ugIFmr4Mf69zA3ybH8R2tMsoAVho5fNBVx9PZCM7cXMD3wTrXa+1NnNecuNc9jq8aNwEANypb+Gl3GZ/2ncQvRZZxqbiK1UYev6FX8J9ch7Ho9ODj5k3kGxX8Jpbh2XThv03oeGl1Aj+MZXzKVUFIc+MXu0DX1PBf9/rg054JuJwGfmh3kHD0/shJPNHq4h93LqLfHoz5/9l3EGlTw8ebV1Hr7TmeuL1omh1EnH7sKsCrjz4yrjCuY+AzWus08YnqWYTcPlT29JoOOBDx+PFM/bp8xrFzwJ/CmdaSgDSnpuN7k3fjzxtXbaV8k74wPtO4hnzT7rX6z32H8anOok3LqjkcKPUaMId098VufY95d6HZbWO328K1+iYeDM9hq1GSyk0A8INN4JPKeXa7Fr5IesNo9Tqod5pYq+WxUS/io5nH8aV+AU9tvQ4ACLq8+JD3GD5SexU+p1vA6ifSp/AzuUEyGpP38j9/L6Ife9n23ZP73gXM/dF1+d3hcMClObFat1eccmo6DkbGcbm0JvvrDg0OOCznCCXRbqluecfOBjNoGh1UWrvQHYMcEnMPbT+SOgwHHHg+N1gYAAOQut4Y+NoSpAZcllyyAgus0t0h5LEWkYVG1ar+BcvJgwtSunmMB2Lo9g2xXFuqWAnrx2LT2DXaWKps4WbNyr84FMnC6Ju4WFzBG7XbalZ/4Rd+oQ9AdHymadqSptSwMRkmp9MpDKpqH0OgQUDa6XRQq9UEnBiGVU+ebBD1jz6fT3SykUgE6XTaxqCynCQnR14Lz01WhhMcJzMyMMz6ZiEATuROp1MSY7a2ttBsNkUCwUmYEoNMJgOv14utrS10u10pHrC6uopWq4VQKISXXnoJoVAIBw4cQDwex+bmJprNJlKpFJrNJubm5rC2tobNzU243W68973vRbPZxPXr1zE9PS2SBoLFra0thEIhzM7OSiie7CfBogp4vF4vyuWy6D+ZxU7AVi6XEQgEBMhSs8rQKu2rrl27hlarhUKhgEKhgFKphHrdshphaVqWVTVNE/F4HIlEAnNzcxgbG0MqlZIfPg+OK4/Hg263i1KpJNn529vbSKVS2NrakspS1LESnFCfS0lGuVzGmTNnkM1mEYlEkEgkUCwWEY/HZRs+z0wmg52dHUkmDIVCqNVq8Hg8aLVaSCaTVhJGJIJIJCL9k8vl8MUvflGum4sn1WGCIJuLHmoyydBTmxqPx6WCVaPRkLD/0tISXnjhBbRaLSwsLGB8fByPPPIIkskkJicnxYeX45XOFbxGAlP2kQrwuJhRra/4f9VtY5g55fvBRpA8DFhVretw6F+VLqjbjGoEuGoSlpqcSXAO2PXZ7OvDhw+/5TSrTMwZZaEzzA4x43pUotVw87utSSzli2ClatVV5zmY4a42h8OB8WBckobIzo26ruGEH4/TbZUxdWiyLdmq4f2ZBR33hSThhtuOqkg0fK6INwCz38dUILlv0hz2b/W5PNAdGjL+qBz3dtndw5WeeO5R2fC3aipL92aqZ/HamcmvtuHjMEwe94RwvWyxdRwTH5h4FJ9cf062vSc5j8X6FuqdlhzjaHwaF4srI/1uh71i35k5jldLN2D0TembX5x4HB9bf1bGI9tUOIVGr42eadiYvkKjOvLZ0q1Ava/Ho4cRcrjwxxsv2LYdrvjFfn4odRhfy1nRyJ+beAz//hZeqsOt/IGTiH7yzMi/DffLeDCOQrMmTCUwqJ41PD55bbqm7fNO/UarqX2z2qh7uNNtvy43gG63KyyXGqL1+XwCVDkx+3w+0QSS0VGZUABiUM5Mf05eZITURAsei+cm6I3H46J7pZ6SkzUwKGTQ7XaFCeXfCGSZQawmZzFxhuFXsn7dblc8QOk7SoaMEoJisQi32w3DsCpa0bz90KFDWFtbQ6fTQTablSpatIwyTRNTU1PodrtYX1+XEPfa2hrOnj0Lp9Oq2MSqV2SbCb5pY8W+DYfDiEQikijE+0yn08I6E+jRGorseSaTEWlGpVKB1+tFIpGQPvX7/eh0OhLmJyBmv5KFpXsEmTG6F5CxNgwDxWJRypaypKnqcUqQu729jUgkgnw+D6fTKfITMsGAlcCVSqUE5BcKBbTbbTz22GMYHx/HxsYGSqWS2ELRhozXRGBaqVSQSCRgmqbosXmfw/pLNfyvhswZafD7/bbEM3q0kt2n6wA1sWRaqVEtFApYXFzE9evXRa4QCARELsAxoIJENdSvgjrqlKn9JmPtdDplsaUW9CDLOuy/OkoGoP5tWDvL/iVQVaMqw0lbKgAeZlEJrtX+VxO9hvdVnRnerCbqf5RGYHAnkxiBwRsBVQBi6k6gqp5jGKiyqRWJGOq7k+tq96xojbotAdvw/l3Dmm/Uqkjc9k4qElValsPBnbA7zW4bQbfPdlxez6iqUMONY/dOgSpgr671ZoAJwdEwUB3Vis0a4r4BUAUGY0IFqoBV+SniDdiuhX03DFRHNcoRVBD/sfVnR267Ws0h4Q/bACif850822KzBkSxD6iOauxnAlUAdwxUAdwSqI5qLFahgk/ez61A3iiT//8egSrwzal0d1uwSj9OAJLQoxqYcyLihMPwJwEjJ1U2FYAOh+9Ulk2tqESQyEm3WCwiFApJyJ5gVgXUDEWTBeWExwQmAmxuxwmOOk2CajUBBbCyu6vVKlwul8gifD4fgsGg+ICWSiVJklpbW4OmaVhbW8P8/Dxu3rwpE2gmkxFgyPD44uIistksDh06hGvXriEWi4kX6ObmJhYWFtDtdlGr1TA1NYVGo4GzZ89iZmZGwBhdCrig6Ha7wiTyugggS6USdF1HJBJBv98XRpNJZy6XC7VazaYd1TQN0WhUAKTL5ZKypgT2XLBomlXClkx5tVrFwYMH4ff7US6XRVsaDAYlW57jhGxkPB4Xxn55eRmRSATr6+ui2+12u1hcXMTExASi0ShqNUubxP40TRPpdBq1Wg35fB61Wg2HDh0Spn1nZ0cYXepCnU6nAGuOgUgkIuOVwInMNWUqahKQ6gzg8XhkIUTfYTUhiCC8XC6jXC7j+vXrWFlZkUQyuiuwilYwGNxn/D8M5lQdJxcnavSA+/B3gkj+TbV9Ihgd9aWivnvq4lN1EWFiGBepw8zrsPsA32G1qedWr3+YbVX3favKAG7XVFb162lvpszmNzphfTMmvFtteyuwPgp83Qn4Y/tGS6h+s9ookDOqVOmt2qgKaLdqo8qt3qoPVVaV7ValWe/0umi7Ndz+ISs8jRpHo+71Vu2bVXr4W6npH/nIR275x0984hMfAWADnpxYhxkSdTKjppPsDEEjMPDkJNBxOp1oNBoy6ZHdU7WAajUfAi41Qx2AzTlA9cQEIOBJlR4AEGaSk7uq71NZMgI3SiFarRby+TxyuZwAPsoSSqWSsKaapmFychLHjh1DsVjE3NycVLlaWlqCy+XC1atXceHCBczOziKdTst5mbGfSqXQbrcRj8dRKBTgcrng9XoxPz+PWq1mq0BF71SGhPlsCFwJjAiwCc4mJiag67q4IiSTSdEmU8PJUL2mWd6oXDQ0m01xMuAY0XUd+Xwe9Xpd/Gi9Xi/GxsbgdrtRr9cFpKZSKZFh6Lpuc5KgXKJeryMej0thBMpBWq0Wdnd3cfToURiGgXK5jHA4jFwuh3K5jH6/LwURXn75ZYTDYbk3SgdSqRSKxaLoXgmUmdzDMUHGmtZr1WoVr776qrhFqCy/KlNhCWC/349UKoVMJiO601gsJnZqpVIJr732Gl5//XV87Wtfw+bmphUuHB9HOp3GsWPHkM1mMTk5uc8flQuqZrMp4X8mrdGGjZ/Tw1aVBAAQJp7OAHSJIIhXk8Y41ugiwfO2220BxdSJ89mqjh7UvKvbqEb//F39u+poQBCuuhAQsA5HaBKJxG98/V+P33rto7/5ux8BrKoz203LNJ0TXSYYgwMOK4FEaQl/2Aaq/O69ikOOAfD3uTzo7elZh8HeyaSlE2RLB6KIeYMw0d93riczx7G8O2Bmg24fepQjabok5vTRh9/tHRn27Pf78DjdMEwDIY9fvFaHt52PjqPUqss+JxIzOBKeRK5blW0PxyZRaFWRCcZsGs6TyTlMBpJoo4fWHiP8UOow1hsFTIaSqHbs4Pb+1AI2GhZbZvRNnMqcwLHwJJabebidLvRMA98zfi+u1jeRDSVQ6zTlPo/Ep7DbayPg9qJrGOjDKo/a2isZOlw5iffObXRNR8wbRMofRcjts13bcD+5dCfGgjGk/VE0eh0xnjf6Jo7HD2CnaS/48KHsO/F87ea+481GxlBu2wFY3BdCs9dB0O1DZ88vNOzx44nkMWx3KujsJdQZfRPfPXYPrtXtbLzf7cV3p+9GFW3UO00ZuxzLauO1sn90TUfcF0LY44fZ79vG6mfjj+M/Nwf3cH9qAR6XGwlfCKU9EMlrvl005qey78BrtUHZ17+KP46DsVk8W1vet63al27dhV8ZfxxfGdruwdQhm2ZUbQejWRRbNWgODQG3FyGPf9/Ch/c+aoywn/97a/weYRt17f/7r//yyO/s2zKrnLyoA+NnwCB7V/3iUkOSarITWadhNog6P6/XK5ZCAGRy5fnIAJGNisVikoRFqySyrGpYUQ0rD9tcMSOetlBMfCHwZlEAJnixapdqfZVMJlEqlbC8vIzJyUlEIhGkUimUSiU5Ju+rXC4Ls8jKToVCAalUCp1OB9vblmD6yJEj0j9XrlxBp9MRGQILGvT7fbz44osYGxvDzMwMer0erl69KglVZIDHx8dFEkBAzX73er1SUpYZ42pCDDWlBCDpdBrFYlHcBMhMEjxQEkG9JEuE0oC/Uqlgc3NTko10XUc4HJZnz+fXarXkHgBIaD6XyyEWiyEQCGBlZUXKrKZSKayvr6PZbCKdTkuyFjW21Abfc889yGazUgwCgDCemUwGV65ckZB9u90Wayi6HAxnrTNBrdlsIhKJ2EATNZPsTyYKMomKPw6HQ+zO8vk8rl69irW1NXGq4H2k02mkUikBzCo7qTpkELzt7u6K/pta2UajIbIYdYwDg+p0XODdKqFKTWLiOBp2RlDHEAG7uvBUIyH8XNW0qizrcON9q8BU/dtbOftfbS7dCZfmlAkYGJQ1de5ZQrEvmSRh21/TkQ6nsLlbQs80YPQNdPYqSrV6HZgKMTEZSuKAK4Zze8DA7JvQHRruD87ghf4NmOgLm/t94/fhu40IntuzDOoaPYQ9fswE0yh3d1HvtlA26vA4XXBqOsb9MdQ9LZESpANRODUdrV4Hu3sTt0d3IRPNotc3UHd6xJD+/tQCjriS2GyU0DV6MAC0zS5+0kzhsttKTmp0Wii0a3hn5jg2OyU0PG1hWIOaF/9bL4lfcu+i3eui3mmiZXbw8xOP45JRht/pkapK7xq7G49qcawG82j1OugYXax3SviPzgm8Hoih2LIYy/ONdXww+058tbsFDQ5JQvFoLvxk+kH8fWMJTk1HoVFFzBPEfHAMPs0NAyZe2LESZI7Ep+DXPGibXRQ6NZQBJHwhZLxRzLgTeLY0SKSJeAPwOt0wTB8qSincoNOLtCuCHb2Cds8qiet3exF1Bmza5clQEnOGLjZJZGOj3iDuD0wj4vLjTN4qt+lzeRBweeHSnaju7e9zuhHzBJHUvOLUYOxl7k9ofjH3ByygGnL7cNgRxN/sMbwhtw8e3YXjngxasa6Utz0cm8Qx7xhuenJSztetOxF1BxB2WmO02W1LsuAw/GwYbfwL31H8cXdJNNz/KHkSYYcLf169AKNvChtMm7Y/Cj2M/7M3WGQ5HA6c+rUovv9ffXbf+8cqXfLe3eL7NO0M2gobsN2dmMXlijW2vC43oh6LkKLmG7C0vLpDQ3XPxaPS2pXM//dm7kaz37VVZPup7DsAAH+4YZXtnYlkAABHfVkAwOe3TuNHsg8BAP6uZDkGkGn/oeyDAIC/2rbcDDpGV/aPuSzXndP5gVvD94/fjz76kljJ9p6xk6ibbXx155LMp3cnZmH2zX3V50a12yZYPfLII31OMolEQmqwk5ljCJETDwEp92EonxMZK/aorCpgVSiiPpZhbjI4BEdkZMjIHThwALFYTJgzJrnw3DwXmSsmYbDGPCdFWvz0ej3U63UYhiH3QFaMcgiybTdv3sTGxoZk08fjcZRKJSQSCQQCAfFRnZiYQLfbxcbGBjKZjGTTA8CBAwdw5coV3Lx5E+l0WgDF/Py8LWHn8uXL6PV6mJqawpUrV1Cr1TA7O4vJyUmUy2Wsr68LW8iwP6v7kIGbmppCKBQSeQABIpk2Ak1qarvdLvL5PHZ3dwX8sJrV+vo6Op0OqtWqeMoy0cc0TSnfyiQw2muNj48jkUggFovh8OHDiMVittCvmmhFiy+y92TeqUWmiT8BKaUetVoNqVQKuVxOPvP5fML6ceFB6YrP50OxWEQ0GsXGxgaq1Sqmp6dtJvnValUssugYkM/nsbS0hM997nOSuBWNRjE/Py9jhuOHUQQ1iYgMIRcVN27cwM7ODtbW1sQSjOzr8ePHMT09jaNHj9rkL3Tp4DvGBV6z2UStVpMxyHPRDo4uD6obxnAmv8q4ArC948BgwUpgzv5U73M46VL9bqD8htuNAqujmgqUb9dUoPu2t73tLSVcHS4KoCbnuHUXMoEoVqs52z7DSS0Es7qmw+N02aQDo0pfcnsm0jgcVuWq2XDGpoFU2/17deGtWujW9fldHtQ7zX1lJNXGv6nlQw3TsE3k0hd7fzsYzcp1uHQnnkgdw1a3gnOFZdlmuNyqw+GAW3fh7YlDKBkNnMkvSqLSP82+HX+08bztXLz3R9J34YWdy3tVm0y8O30CDbOLp7fPybNgpazvGb8Xn9t8DZpDg0t3IuDyIOOL4lJxVe5nVHIUARb/nQwl0TQ68OlubO6WbCF+VlViv3mcbsS9QQScXtys7Ui1sK7Rk1KxaiOgZIIQwdWosrvsZx4v6PZhJphGt2/gemUThmnI/ahAle2R9F3YbJewuVtCu9fBTCSD5cq2VNIaNQ6YqOZzeeDUdEQ9AWzUi7Y++EL8Mby3+BVbMlLcF8KBQBq6Q8MruWv7xozahgHlh7NP4L5WHz9Q/LJ8RoCae98CUp+9Ztv/x7MP4/ndZdF1Mwls1LnemTmOLyvj0KU74dKd8CsLseHG93f4Peb+/1Byh1slew0nGd5uW+DWCVa3BasPPPBAn5MMzcwjkYgYpdPKh2yJagvFiYfhOwDCUJFZYuIJwYQaumTIXvWKJMAIBAKYmJhALBZDJBKR4wEQ4BUOh23XolbL4oQJQFg2higZ7uQkS9YQAKrVqoQ1d3Z2sLKyAp/PhwMHDqDRaCCTyYjGk/ZM3PfatWsYHx+H3+9HpVJBLpdDPB6XhKzJyUmRGWQyGZEl5PN53LhxQyyqnn32WWiahpMnTwpTuL29LQlWTFoKhUKo1+sYHx9HKpWShQH7iowfMAAdZDy3t7elryqVCqrVKkzTlJKk+XxePEnJTjPcX6/XUSgUpFQtvUCnpqaQTCZx33332cYAQYvX6xWGj0xrMBiUZ1IqldBoNJBIJFCr1YRRZ6JZtVpFMplEMBhEvV6H1+tFoVBAKBQSRq/dbqNQKAjjl0qlhB1tNBq4dOkSHnnkkcFkvQfCOp0Opqen5V7X19extLSEv/7rv5axGQwGMT09DY/Hg2AwKMb9lACokYZcLieSjVqthps3b4ou2+PxIBqNIhaLIRaL4dChQxgfH8f8/LwU4FDt03hcgtVisYharYZyuQyHwyELPgBil8WxoLKhahtmLlX9KoB92ffqsYCBbEgFq1xU8Hnzd763qt6V0Qsei/+q4X31b6N0rgTf991331sWrN6dmN3HWAxPXpzgRjE8w2CR/TsXGZNkEG5zMjknLJt67LQ/InZQbMPAcFSjG4B6/mGgqp7HGEq+4jajMsZH9YHP5cZsMLPvHka5J4Q8PjwQnsMXtqyEGgJVAvDbtbgvhHqnhROxA1L+Uz32qEWDClh5PaPA+TAoIFAdte3wZxFvACGXDwl3SMYMAeWHsu/E72wMgFk6EEWtY7mpsG8IVOO+0D7t67AbwJOZ43i+cBVu3SksLkH+8Dg8GM1itZ6Hz+kW3SfvU2Uwb3VfCX8Yvx28Hx9unN6nnR12DmB/qwu8Ue/FrdoooMo27P5wf2oBr+av79lSWecaBqpqc+suuPdKEKtNvdZvtXara/+6wSonMyZ20G4nGAzasv1pocNwMxkTgkRg8GXHBKp4PG6zpqEmrlQqodvtIpfLCXhl+JvMEk3R1WxqJgtxUlZBETDQrqpgmpMifUMJrpkwZhiGmMmrVblKpZLUqE8kEmi320gmk3C5XJicnITX68Xly5cRjUYxNTWFyclJbG5uYn3dYiXW19clNLy6uoqJiQlMTk4KWKYtF8E3QfXu7i6CwSAuXrwIt9uN69eviw3SXXfdhXa7jRs3bqBQKODQoUMSOm61WshkLOq+2+0iFAohFrMqi/h8Pgkba5ommfBLS0vSN8vLyyiXy6Ipzefz4ts6OTmJRCIh2+XzeXFIYLgxlUqh1+vh0UcfRTabhd/vRzgcFounUCiEUqkkAJygkwUeXC4XVlZWZKFULBaFvWw0GqjX66Lf/X/Ze9MYSdLzPPCJjIyMyMj7rKyzq6rPaU73zHAuDi+RokgLMrSyKBrLFeT9IUBre9fGGrsWsNCuDcJrA9oL0kKyLMELYaHL18qQBUPrpUiJ1pDiNTMkZ6anp7urz7oysyrvIzIjMiL3R9bz1pfZWc2uGVGyPfyARldlRcbxxRfxPd/zPu/zptNpkXQQALfbbZFSEARHIhHxrm02m9B1XZKg6vU64vE4EokE+v2+lNKt1Wq4f/8+bt26he985zvSdxwXAETjnMvlpjTV1ORWKhXR26qLsFKphFQqhUuXLqFYLCKbzaJQKEiyIIEvFxtc6PX7fTQaDbTbbTx48ECYddU6jiCV50MgSWaV26kglRICasjVxYS6PYGhGsLnM8b3AhltPvv8X2V3Zxnex218hvk+UgH4Jz7xifcsWP1++377fvt++4+tvSPrKjVJSk2mAiCgDzhmOsisqqwIAeGsVg04ZmTJ1JB1UT1NqX8Mh8NTljqtVmvK8J4TFCd/dVu1RjoBBY+lGrAz6YTf5/bMoo5EIojFYgJ6u92u2DDF43EcHh6KPvTSpUs4f/48dnd3ce/ePQndJpNJeJ6H5eVlJBIJxGIxXL58GTdv3sRrr70mbgkf/vCHoeu6sM2O4yCfzwsgvnr1KsrlMi5duoRqtYpms4lq9VhTk06ncevWLakYpeoMgWPzdR6PgI6sXas1CTnU63Xx6CSLPRqNpEQp5Rj9fh97e3vo9XrIZDICHlutFhYWFsRhgH1Lm6bDw0PE43H0ej1Eo1Fsb29jbW1NwFaz2ZRsfi4iuCBiQhNLznJMtdtt9Pt9pNNpAaCJRALD4RCdTge9Xg8XLlwQWQkT2KiNtW1bFkis8sT90Nqq2+1KxIGLJS6umNzFbTgm1GpvfG7C4UnZVy5qMpkMlpaWBKxSLkEJipqICEBs0lqtliw4VMAIHNu58Zjqz6rOW01OUv/OfQDHsgJKa0T7qABMFfTzPTBrF0f2nGBVZXvVd4PaVBcGtfH4s++q2e3eK42Mxbyw7iybQXZplkGc11JWDJ2hM+X3SFnAPJZEP0qY4piaF9Jmm+dHCkyM0nksHmP2XJmkEY9Ehakjw/Y4DOSFzDK2mvsw9PCJUgK2K7l1bLX3ETMsCcuSvX0cFnctWUSl30TMMB9iIGdZvHhkUu0radry+WxYXm2zXrncZp7/62wfXsmtY7dfQzikS3j+R0rP4A/K33povwnTRjQcwYXYklREInM4L2Q/KxlgxbRR4Mt94DFmj8WkLbW/KQ+YZUaBh9npeCSKz2Vfwm96dx+KMqwmCw9JYv4s2o8tPvuQXnM2SkH5y2cXX8Dv7H0NwPH4nieRiOiTJL3ZZ2zeczf7maGHoR1VtuL4VnXr/7G4pjwSrKr1t6l5VFlTdaJTtZ5kUZjkpHqfqklYLN9JAMR/DE/T8F9lSMl8qnIBx3EEZBFUEoBRa0pASpZI9ZykOwBLV/Z6kweA4UxqWx1n8qL1fR/5fB6pVAr1eh27u7vwfR+FQgFnzpzBwsKCaD7JBN6+fRv1eh2Li4uiIST4ZXg7nU6jVqvB933cv39fwF2325VM+IODA1SrVViWhXw+j0uXLuH5558XCyeWB61Wq7h48eKU1pf9zNC3aZrwfR+NRgPZbFZsrvb29oQRp+YzCAIpSMDKTkEQCBttWZaUOKWuNp/P4969e2i320gmkxiPx6hUKtB1Hffu3cPS0hIKhQIePHgAXdeRzWZRr9elL1OplCwWDg8Pcf78eZTLZbRaLQHtbBxbBH70yVU1k7TdGgwG76E2aAAAIABJREFU0odqWVT6o96/f19YbgJxLqAcx8He3h5qtRoymQySySQuXrwIz/NQr9fR6/XkPrBv+JyQWaRXaiaTgW3bMmYoY6D2mRpxgjz6/5KVDYIA29vbcm58FpkUxgWZWpBABZZcJPJzNdyvZtizqWb76t8oWeF+qFMPhUJiScb+J5vLpLOTbLFmdbLcVr2GWTeSecla78XGjPov1q7JZxHdQDxiTSZ9pw3HG06AVOBjKZFDc9iT+2BHLFi6ATtsouX20Rn2JRmLFYPYqk5LQrhsekjHhwqX8Gb7AQa+J6DoqfQ6EiETr7TvwgtGaA16eCq3gY9YK/i99nW0Qjo6wz6WEjnEwxbMkIFh4IlGNmFGEQ7piOoRhKCh6zoCnNbtIupeV4BO0U7B1k2kwzF0fAdv1R8gZcXwscwlNIMh3mjfR93p4IdKV/FxLYdfTwXoeA6qR5P5D5eext9yk/hfjePSqhupEs5EsrhUKGLLrQl4umiV8ONLF/CVUQVucoTt9gGeyK7iJWsVtfEQ1wdl3Gzs4q8sPocfGyXwr+wm7rk1GHoYlW4DT2bP4EetDVwfd/Gn2haqvSY+VHwC58JpdMYj3PcaAlb9cYDL2TXEdQtVs4V7rQoiuoFMNI6fSD2J3669JgBOD4VwLr2EV1vHeltN05A0bfz17HP4P6tfxXDkImHa2HPqeDa1iTe7x9nuNwcV/N2lH8AvVb8qYyNnJ2HqBv5O/Cn8xvA4qabrDXAxswIAIgWIGiYyVhw/kXwffnX4p/D8EaLGZEydSyyiPGjIWFqPF5FJx1B2m3D9EYYjF3k7hawZRzQUwZ2jik3ApIrWD5Wu4rXWXQG3aSuO59Nncb23iwOnjeGRk4IX+Pik0cDfr+8LiPvryx/GBT+Cb4R6+Ne9SQLeLy/8IADAPHoN/YxSRhUAOr/yWfzj/7mK/2H/+PPWz34Qa7/0Helvvqt0hGSRQv323yt9FP/LwZ/K9Y4CH//94kfx643XlOcmBEMLozXsyyKJemYrbKDrDqQMbEibvPOi4QhcfyQAXdM0ZKJxNJyuAFbPH6EYS6OmLI4iujE5XkhHMB6jM+zjYmYFhqbjenNHkiWBiZwIAPYHDQTjMQ77LUm6+6ul59AMhiKJAYC/v/RxBBjjH+59CQCkfPJ/WXgOAcb41d0vS4nglxJnAZxsL6a2R4JVZuAzJE3wqhrCcwIj06oyZ3LzjiYRhrIBCLOmVs2ZDS3So5GTvsrEANPsLsOhavUlAFOMDcGCykypjgeu68qESs9VMq/cjsCbYWVqM7vdrgADZqrn83m5BmoRd3Z2kEgkUC6Xsb29jU996lNwXVfAIq2DOp0OyuUyLl68iHw+j/39ffi+j7t372I0GiGXy2F7e1tA1/LysjC3zWZTNJu2bePevXvQNA17e3sCynhNQRBgcXFR2Efqcm3bxt7eHoIggGVZuHnzJpaWlhCNRtFsNtFoNLCysoJkMgnXdXH//n2RLBDkqUUVWq2W9FG9XpcKTLdu3UK/35diD4VCYcrNQdM03LlzB9lsFs1mU8A/K3KR1YxGoxiNRtjb28OFCxeQy+WkiEGtNlnpE/SrY4Pj2XEckRnMAiVKQCgNoW7ZNE0kk0nRplqWJSx8p9NBpVKRRRn3Zdu2WFYVCgVEo1FJ0FpcXJR9qjZgnCio3+33+wKgqesGIIs4RkSYNKey6mpUA5hOplLlOirLOo9xVaMQXPSpbKgKbHkMjjlKGHgsAmUVtBJIq+fJ/aisMd9TqqSAjOp7lVm1IxZ+PP80fvuIsQEmE6GpG3BGriQ0jQJfqj8BxyymroVghSNwfFe0oOPxGM1BF+fSSzgctIXVaw66+PrwJtJWHK3hRNYSDun4VvMunk+fxautYw3oje4eQpqGi/ElbA9qaA16uNOt4H7vAH8z+xz+YHgf3xneFXeC0XhaK50wooiFLZSdY+2hqRtIGjb2BnW4wTGDuWRmYYcMbDmV48ifFsLuqI0LRg7fPrqur9Ru4PVIFL9pPolXkgb+x96khOatQQX/KDLAP/By+D8sA7exj7bXx67Xwk+Fz8AxRmCl90bg4DAURSYUhWemsY1Jlvpe0Me6HsfNo+v5auc2bkYS+M1wEa/rZ/FvEh38XvcVVIct/Em4gv9cW8SWmUK110TFbWEQePhEZBmJSBivYqJvPRsrIa/H8PX2bXF6iBoRfCJ5EV/s34XjHTPD4/EYL9pr+HfuW/JZRDfwX+SewW+13xSAE9I0REJh5ELWVB9udw/xG14fq/G8lDD1gwBZK45/Fxyg7h0zu0t2FqtmFl9vbAl7Pgp8fChxFi8Pd2RsRY6ShayQga53zOw+6B2gGm7hhcQmWl4fla6L9rCPoe/hxcw5OLYrC5GW28Nd7QCpSAz14QSAOSMX32rfw0upc3jZuyEMoh4K4e1+SsY8APx6+Wt4KruBv+cuIl36AH5t98swxkAIwHAmAN35lc9Oxt5//c/ls5QVw4O//RRS/9txkp2hh/GjxWfwU0MbP1H+ExlzVjiCny18EP+o8rI8Z3pIR8q08SuHX59a+IW0EBZjGex2H7az0jC9oLePEsraw75YP4W0EJKmjeagJ0CTYNk5siljs8IGNGhwRq7s99ZREuL7spP8DOqB9weT523RysAfBzjst/DJ4hWkQyb+VfkYZP63yx9FYhzCP9g7LkMLAD9VeBYhaPiNg+NtP5g8B2DyTDxue6Rm9Ud/9EfHTBbJZrPi10mGA5gOzREMcuJR7aTUyYaTMEObBMHMyidoazabkuRD5ozaO7J9nCx5XplMBtFoFIlEQjLieX7cBoBUWyJbSi0mMGGUe72eMIlqMhC3HQ6HaLVaMkHSgkjTNORyOfnM9320Wi1cvXpVMs1ZrpOZ37dv38aVK1cwHA7RbDbF33R9fR1LS0sIggBf+9rXkM/nZaJ/4403kMvlsLCwIPtcWFhAt9tFo9FAJBJBOp0WEH5wcIBKpQLTNNFsNrGwsCB2Wzs7Ozg8PJTz0zRNZAWGYWB5eRmj0Qj7+/vY2NiA7/vY29tDs9kUTez29rYkINm2LZIEAkPagDGDP5vNSjWs9fV1rK6u4uDgAEEQIJ1OI5FISOKS67pS1pWJV2RMacVkWRZu3LiBaDSKpaUl+P6kfG+z2UQ6nUa/30e73Rb3COqQ2Wfdbhe9Xg8HBwfiPuB5HvL5vCRRdTodVKtV3Lp1C3t7e1hbWxN3Az4nZPwJ1Mi4sgwxFwtqxIIaYV4TP+Mz4vs+2u32lN6VDOvh4aE8gwTnkUhEkrpU8ErgSykBn2MuLrnYVBlT9oMa9mcERI2sEFwSkKpNdQdRdaXAcdifERjuk3pxFQwDmHqXkKXldfH5VrWzP/dzP/ee06wy/P84IUKGg+eFVGcbQ5cJMyrbcn/zXAL0kI4n0isPJcHMkwPMhuZVEM25huc6ew0J056whkqyymlkAGY4As8f4Vx6ce41qJN83k6h5w1wLrmIN2r3AJxOBpCNJtDzhliw01OVwICHZQA5O4n2sA9TN6S/GNqfFyqeDaEz/D9PMjArAyjG0hgFPpbtnFwX90c5ANuHi5dxs7cHZ3QMIBn+n1dGdlYGwMz9VMSW5LuTyv6yv6PhiMgmOFYpB1DbrAzgqdwG/pqxgc/Vv/rQmPuzlgHMC/+zzUaPfnLpA/jn+9+YktTwns57bplEOFt6eF6b/ZsZnhAwamnX/5BlAO8oweozn/mMgNVMJgPTNEUnSDYSOC63qVrpqIlKZMhYkpXJL/weJ2lOdGo5UGryODkyqQrAQzo+hvPJjjI0zWPRgms8HkvVIgJWMlbAZCKlDZDKEFF7yKQe2jyRySXjRUuvfr8vhvnUgK6trSEUCiGRSKBQKCAej0PXdXS7XQwGA7RaLZTLZSSTSZw/fx7RaFTq1N++fRuLi4vo9XrY39/HuXPnxFu12Wzi4sWLGAwGeOutt+C6Ls6fP49MJiM2RtRLXr9+Hel0WqpwMUmM/ciSpOl0Gul0Gr1eD9VqVRKPDg4mDzh9Z2/cuCFWSwRqruvi7bffRrFYlD5m8lYymZRwfCKRQKlUQrFYRK/Xw3A4xIULF8RSi0BSrWSWy+WQzWalIpm60FErkw2HQ0mAYtWsfD4/xVomEgnRPN+/f1/0rgy5Ly0tCehtNpuoVCrY2toSucXy8jKefvppeT5UH1eOZ4bpCax5zhz7lL0QdDGxbjwew3EceJ6HWq0myYf9fh/ValWeP9M00e/34Xme7JuV2VhdjM8mgSmAKcZTfQ+oSY8cEwSQKjBV3wFqZS9VL65m98+yoeox+XyrWnH1Zapuy/NXE8QIVGf1r5/73Ofec2D1UX9/t9nDp/n+aeqWz7O3Oc1Eeppt5x3rpOuadw3zvn9Sm2cdNA9AA/Mzz09jPTQL9B7V5mmU52Xyn9TmgeWT2jybq5POdd7np+nvefZN/3vpB/F3y3/00LbfK83qvDZvfJ7mWZp3XSe1k8DuaSpm/UW2d5Rglc1mBRyqIFG1rOFNUP0laQNFrScZGpYqZZIKWSAybABkovJ9X0K+BK8Mgw4GA/kOJ1omflDLR90cLawIuglsmOTBCZ37931fWCnqXPmvXq8LuAiHw9jZ2YGmaVOuBLFYTLxUWc+eIObg4ABbW1soFAq4cOGCSCFoL7S2toZz587BdV38/u//PhzHwcWLF1EsFkUD+ru/+7vQNA1Xr16F67q4ceOGAN8//uM/xvr6uviYNhoNYSpVtu/5558XbeXS0hIWFxclFN7tdpHP5+E4Dm7fvo14PI5isShsKzBJ3uIiwPM8XL58GXt7e2J5RT/ZxcVFpFIpbG1tIZ1OC1NbLpclASqZTAoTq2ma6G01TcNbb72FUqkkJVDPnj0rIOzw8BCGYcB1XZEX2LYtIJILE1qksbKYysRTXwlMZCSlUglbW1sYDoeiFyaA3tvbk/ERjUYFfBNgUepBezfguFrbrJcsWVNqu7kPMpKdTgetVguu64r/K1lnLtC4oIjFYlMSGRWoqqBRrVo1G+4/ybuUx5tNxOL31GQo1XZqdh98V1BSM/s5E7K4UOXzq77gZxMmVScSVV7An9+Jq8B/Ko0A6yRPVLVgDFm3eZPZ7ASbtuJoD/tT25JJmwfAwiEdIU0TsEXQMY9ZHY4e9odkFSKCRR5jFtRRPxc1IrJfsm/zwN4s8NlIlXC3VZ47yc/+vpEqoeI0p5jojy68D39SuYa1ZPEhtjQRiU4BQIK8eSysM9N/C/GM+KDSdok2UKp3LNssGCLb+VcWn3tIEziaiX6cSy+h3G/ghcIFfOPg5iPPdSE+cZFRrdH487wEq87MvS7G0nD90RSI5T0YzPTBUiKHSq85tV+ez7xogG2YU+P4yewZ/N/u7bnAdLYKGcf7vDEzD0TPPh8c1/MY39l7sxDP4LDfRjR8DMRVXfDsosX1vbkLp8cZs3pIhxeMps73pEWQ+s6cxXjzAPdJi8THWajOS6J8VHtkudUvfvGLn6O3I9lQ4Li0qZrooGpPVY9VnpAaRpcOOwIMas1wToycuNTELOCYgVH1abPHpT8qmal+vy9aUIbaGfZn2UieF49PVhWAhEu5PSfUYrEovq9quJSgiIlUe3t7olPkdbEE5Xg8xurqKjzPkypW/X4fZ86cwd7eHr70pS9JWVVqP1utlkgkVldXxeEgk8ng4OAADx48wLVr10RCQW9SJrU4joNarSZVorrdLra3tyWUX6/X0Wq1hOVi6Joh8Xw+D9u2cefOHQwGAzHhZ4IUGeZUKgVd1yXZjMla0WgUxWJRwuJkHAmoM5kMdnd3RSfNfd26dQvtdhv1eh2Hh4fQdR2tVktkH/QnpecoE5G4+GGY3rZtscNiQh0rV6kMLXWrlAjQq5X9z8VWPp+XUraqjy2vS038U0sVEwyqPrB0LOA4oxcrmcZQKCTXy3HGMcXnk8y26gwwqz/lsdWmSntU3S63U8Gq+sKZ1beelDDFZ4nf4+dBEIjEQGVoVd0w3yfq/lU9LwABzPwuAHzyk598z5VbHY8nhv6HTgt5O4X+EUAM62FEQmHROnKyT1tx9LzBsa46YiFjxTFQAGT0yLDfMqZBadd1sBjPojnoSlZ+1DCxmSphGHjoK8BwFPiIGib63kDCmnk7BecoGUaDhjHGWEnkBUCPFA0lzf87w76UV+VknTnSzLINRx5SVgx9byjbMqlD00KSmJKzk9jr1h6a9NeSRRSiKfRGQ4Q0Tcp+vt3YQWGGKbzfO8BHF96H1+v3pBTrD5Wu4tnkGdQDB/3REP44wIuFi7jZ3BWwxdKTV3LrSFsxeGMf64kiDp02ruTWcadVxkayNAV8eu4AC/EMttsHUrY1bcVRtNO4GF9GzJwk0AETkLiUyOGbtdtSejakhZC0bHw0dwkHow6GowkIqjltfLRwGS9Xj/WtPW+AYiyNnc6hlFmN6Abawx5+IPsEvnxwXbatOE08ldvAVnMPa8kiWsOJw0TMsFCIJmFHLHSOSqh2hn2sJQrY7hyDx+awi41UaRLqHgcIxgEiuoHmoIvVRGHKq7cx6OJsenFKbrCUyCEXTSIViaHpHlWl1EKoOE28kD6LV2q3pb8NPYx/UvgYXvYPpMSuGY5gdHR984CT63t4Jn8W5X4DIS2EsK4jZcYQi0TRP0pWHBwVcaj2m1KCmKb+iUgUGSuOruvADEfQGvQQj0SnSvwCk/di3xs+VC5VlcWobV65VSZfjXGULzAOxJmDLRgHU6WY1RbSQg+9v4WgUI6laRpihgVAmzrXWaAqOFELgeXEuD/6KavtpHKrjwSr3/zmNz9HdpVhNmZnc2InoFMnYDUBQmWDyD6SDSXLQyDJi2DYkoABOLbFIivKUCkZUzUMOGtEzp85qTuOA9u2JVtZrZTF4gStVgu1Wg2tVkuSWFQmrdFoYGdnB51OR0AfQ8GxWAyZTAa5XA7xeFyYLmb/A0ClUhGA+PrrryMajaJcLktSzmg0QiqVwtLSkiR+xeNxbGxsSEEGWlKFw2GpLpVIJHDhwgUsLy8jFAqh2Wzi+vXrqNfr8p1UKoVUKoXNzU1kMhkcHh7C930sLCxIVj5BVbPZxJtvvingjIwiE7v6/b7YcnW7XSSTSfR6PSlyAByHiCmjSCaTUviAmf+0sKI0Y3NzE9FoVML3DKNHIhG55/F4HPl8XrSaoVAI5XJZ+of3gUlTrusK20ogRyaUmtrBYIB4PC4AnOOQYIllSzm2xuOxgEcWbuAYJ9hWDfGZcMdoARdAnU5HxlK/35cELYJQOnGwRC2THgngPM+TpCvVdYPHJvCbBaFkMfmsqf8IQtVFp7pAVX8HpoEw22wIf5ad5XFUuY2aqEXgr75jeHw1aVLV5PLfeDx+T4LVhXgGz6U3cb9/gP5REssoCBDRwyhEU+h4k2TB4ciTCSR5VEoVwJH2c4zN5ALqw8kCMjhaKK0lCvARCBNq6GFAA8bjSSnPMSZ12dueg/dnzuLQ68jkb0cspM0YzLCBoe9NbK0wYcN+JH8VcSuG3X4NRjiMjBXHp7NXcSGxhGudCTv8AwtP4v2JVTTGDjx/BNcfYTNdwnp8AcPx5Dnhea2nFpCOxDAMPHi+D38cIBaxsGzn8FRiDQ5GaA67MHUDBTuFj2QvIghrUhp1NZZH3kjiU8lz2Ak66LgOPpA+i+eSZ/AzoRWUMit4tfMAwISVLBpJvD+5BjNs4n6vih2njhaG+OrVJL7YS2G/X4en+SjaafxU7AmcTyyjGXJRG3SQiybwgegqfhYreMPwcb93AMuI4GJyGX9TX8diaklq0v/M0ofwE8YKnFgMTuCiMegiadr4a8kr6GsBvtN+IJP/s/lz+K+si3jFP0Rt0JlUkDKj+Ezuabw+2Efbc+D6HoxQGEuJHEpGCo2gL0xf3k7hQnwJbd/BKDjSS2oa4pEoNuwCWhgI2LqSW8daJIv7g5ok2tmGiRfS5xDVI5PM/5GLhVgaS7EsckYCrVFfzjVh2ghpGp5JrqPqtTEceRgDiIQNlKJpdEeDqQQlaBNGboxJ1np/5CJtxvCcvYobvTL8cYCwriNhRvGsvYLXu7syDoNxgD8c7uKf2e/H7wwm/bqWKOBsooR+MERYD8t5/eTSB/ADyQ18q7+HsjOxJExZMTyVWUfbd9DzBlI2+MP5S/hYfAO3vBrK/Sb8wMeZZBEfTp9Hc+yg6w0wGLkIaRpiEQsXEktwMZL+jhomSrEMuu5AwF9IC8EyIhgFgSzmgAmLOwHfR0QCJoywbZgYjYMpQElHgXkMrBmOPJSMpYemwa+hh6FrOsD3/BFALtgptF1HFpRcNHVcZwrwriWLyEeT6I2G8o7QQzqihomQNnEZUcHuSWD1kTIAlQWiH6rKXozHYwGttm3L3zl5qT6tBHuzIVHuR/VbVRMx1IQK7pMgggCY58TzZXiUulEehwBhOBwiHo8jHA7j4OBAgLKqrTNNUyQIZOdYapb7ZxUnAGJVVCwWJczLc7IsC91uVwBbKpUSQ/7z58+jXq9jOBzi0qVLqNfriMViCIJAjN4JXqmbJINIR4JkMjlVepa+qPl8HslkEnt7e3AcB9VqVdjIO3fuSAnR/f195HI5FItF+L6P/f197OzsiFQimUziqaeewltvvSVlY8nssjBAt9tFp9PB+vo66vW6AHUCYWbEl0ol0ZHSwgmA1K33/UklrXZ7wg5QP0rbLepemYRGJpOLlGKxCADCrkajUUl6q9frAhQJJFkcgIl4qVQKQRAgk8lIEp9t26jVagIGHccR5pRaaf6jDpv3TA1TMxpBdwv12qij1nVdkvUou+A+uLgimCNo5ed8Vrj9rA8yx7gavVBDPOo2aua9+vwSUKrOAt+tzduOi1w11KQuTGevm32qvhPmHYeLiveqEwAAVLoNpAx7elEwDuAFPhrDLqLhiNgYBeMAfhCg7nSEafWCEUaBj7rbPSq3euTvOAYabncq9Or5Iwy0EFzfk9rkbN1gMKWL7LuDKcspzx9hOPIwGLn4vcpryFhH1ndDBzW/jd92Xplicf995U0JkbJme9Vp4fZw/yFd471WRUKdlAn0vSFuDvZwT6/CNibvnVHgY7t9gEgoPBXqvtHahQYN1WQRYW3y/c8fvgnHG+L13Dre2L0n22419+AmR3jQriJnJ+XzxrCLf3j3IjLhCQvbcR1Ue0386miAaq+JFwsXZdt/VnkFr2fWMBpNnov+aIhvtG+inx3izepxgto/3fuKSAAW4xNv6ZyZwB8MJ+ejK/fg1cMtrC6mxUYKmGT+3/XbaLhdAZppK4bt9gHykenw82G/hVTERmvQQ0SfJMqy6tSu15qqCPVG7R5qiY5YRgFAzLDwevcBQtAwOAJ/LbeP/W4dT2RXp8LqneHEd3UnUhfmX9MmvqDd0WDq3vqBj1Hgo3MkSWHrjQa44R4ibyex15l4xrYGPXgIxM5NBWwDhCQE3Rh250pBfmfvazJW2cIhHW+1t+F4rgDo9XgRXyi/jq3UgshPAGDgu/hS420MfU+21aChM+yjaram+tvxhugbw4dApeuPpvyKgUlEY/Zc/SBAP5j+/vgIHM5+n204cqdkPcE4AILpOYMWXOp7NxzS0fUG03kHgf+QDAaAMOgq2A5pk+pnp9G1PzLB6hd+4RfGtm3LRMLkEU7MnPipCTVNU+raczIkWzUYDAS8kQXlBEhQS5DHsGij0UCn0xHASX0pE2LoWUm2TXUfoI8qWVNKAAhiOAGSZeP+1ZAsz5GMLo3w1eQQmt+Px8e10anDLBQK0HUdtVpNEpjoo5rL5SRRyjRNPP/889A0DdeuXUMul5M+W1tbQ7vdFmuoZDKJ1dVV7O3t4dq1a3j22Wfx4MEDyWLvdrvY3NxELpfDCy+8IFnkZLOZiJPL5cRqqdFoIJVKwfM8dDodHB4eotvtSj16AHj77bdx8eJFbG9vIxQKodfrodfrYTQaYXl5GTdu3BB7J4K9TqeDl19+GSsrK8IMjsdjJBIJAT6DwUCOw4UBdaqsDAVALLOoGc7n85Jln0wmZSwxaavf74uLBT8Hjv1YNzc3p7LnuXgql8vodrt48OABOp2OLIy2t7cFoHe7XSklCwDLy8tYXl7G6uqqOB2wGABwzCz3ej1hZinJGI/HwriycMHh4aFoqPms7e/vC+vNMUmLK7oCABCpDYGvWoCA58Ljqv+4DReGqmWUmuE/q2lSw/Pqc6Q6AqjvGPWlp+pWZ2UCalKYyuSyqaB7HjDl4vfnf/7n31PC1e+WYHWqyWGOnOM0SSEnJRLNa/P2e5qkqdNc12navHN4nAIKbKdJWnq3SU+PKrow2+ZplE/z/dkSqo9q88bBPIcCYL6W8jT3dt5+55VlBR4ut3radprxOa99r8bsvPa9SlZ8t30w7/vvKMGKE4U6eVFbptrEkIlUDdhVaxtONpzIyGKpLIjqDsBJkEb/BJxkelTHAboL0IqI7BwnK06iBNEEEGSECcbUyZWaRZU9YoJRKDQxljdNU8LUBC2UA6hSASa8MKlscXER3W4XlUoFyWQSsVgMtm3j2rVriMViogdlXzabTTGrL5fLWF5extbWFkajERYWFlAul3H+/Hmsr6/j1q1b8DwPN2/exPvf/36ZyFutFgzDkHKed+7cwZtvvilM8aVLlzAej4VB9jxPzOgPDg7Q7XZx4cIF7O7uYjAYoFKp4PLly6hWq1hdXcXu7q4wvYuLixLWBoBSqST3iD6pLITA+8/QeKPRkEWHWnaWiTnJZBKRSAT1eh2e56FUKqFWq8l4oUaWUofDw8Op8UnWmeOAyXbAMVgi8E0mk1KNyrIsWWwBEJ1qs9kU/XG73Uav15MFAMcgF1iu60r/ErCyJRIJ6QPVKo0LrvF4LBZhpmmKqwO3BSCyFs/zBPzO6lLVcD3/nwda1UjGbP/wuWUjC0tJD2U33A/ZZG6r6mLZeP+4cAWObbznIYYQAAAgAElEQVRUwKoyhXyu1WubTRhT3Qe+3ybtNJPjvEnoNE4CjwtUT9rvaSbB79WkP+8cHheoAnhsoHnSfk/z/ccFmgDmZoaf5vuPC1SB+eNgHlAFMFcvepp7O2+/84AqgHcFVIHTjc957c8LqAKnO9fv1bbv9vvftdyqOjHMm5gYTidzxvAoWTyVOlZBJCde6vvUTF8AAlZTqZTsi4lSwDG7yfCyOkGpmcmsPz8ajZBOpyVkzRAsmVYyxZxguW8ei1nlali00+lISVjLslAqlabKucZiMekrhvqDIEChUMC5c+fQ7Xaxu7uLbreLK1euIBqN4pVXXkG320WpVEKr1RLnAV3XUSgUcO3aNezs7GB1dVXOmbrPD37wg8IcEgBHo1H0epPqNJ1OB/v7k1BXIpHA6uoqstksNE0T5pnsONlPVvwql8uIx+Not9swTRPXrl0T1wT28bPPPos33ngD4/EYtVoN6XRazPqZtLa8vCwgdG1tDZFIRPxaObbIplqWhSAIkEqlhE2k9RgT75gZH4lEsLu7i1KpJJKBXq+Hra0tYVg1TROpA8cY77OaqMfKW0tLS+LVq2maAGOWfgUg8gMAUhqXCzD2z+HhoQBLSmWYuMYxX6vVxHOYModerwfTNJHL5WTB0mq1JOTfaDSkHLHK1Kp+wpSt8HzValOzrCYXg7M69HkyAYJL9WXDZ5LFOlTWU7XMmgeKqTtV9b3qPWGf8fhq4/5U+YWqd38vNrWCzng80YjZhgl/HGDguaJXG47chxi9hGljdBRqDcZjqaQTjIO57Bv/xmMVY2k8GV/Fl6rXHgKhs5nOZjiCeMSaPFfuRIvKbeaxbDyGGuL3Z1wDZvuA52zoYZi6gZ43QNK0p8rMzrJsV3Lr2O4dwg0mRRI6w75k/c/rg4uZFdxo7Mj+VpMFrFg53HcOMPQ91PptPJFdxfX6Nq7k1vFG7Z6wmwvxDFasHLr+AE2vh0q3IX3A/aqNrgM8n2w0gayZwEv2GfzL6qtT4FBNomsOuohHorANE387+Qz+Sfd17HVqcj1/a/kj+OXdl6eOxSx/Zu5zzKiuAWzM6Ocx83YKccOahPePEqR4rHnOCavJSUEYVqBi/8zblvtRS5Q+GV/Fa627GAW+JP7td+tyDRwjUcPEC9nzqHot3G6V4fqe9M88NwNes+qcoWkaUqaNjuvAOUri67uDh7Y1wxHooRCyZhz1YRd9dyCSlXmWXLNjPqSFYBsmejMhd7XNhuhVv2G2ec/H7GePihio7xH1OxupEvr+cGrxchq7tdO0x6Ie1EllNiyoatjUpAuyJAxzAscTJZNWCILJxqgaOTVRigb+BLrqZMlQvhraB451r9yHajpumuYUGzocDiVBheF8agEJPtVJlz8z47zb7Uo4lklM9F3lAGPii23bwhTT57Tf7+PatWswDAMLCwtihJ9KpSTp6vLly2LrRSuphYUFscq6deuWMLJkXwuFAg4ODqQ0rOM4yGQyIqP41re+Bdu2sbGxIYldtm3LwmN3dxdXr16VsP/u7i5GoxGeeOIJ2Z5/O3v2rGTfF4tF9Pt9LC0t4ebNm6JrJXgZj8fY3NxEIpEQwK/ex8FggJWVFXFAIFObyWTgOI6w6I1GA5lMRvqYHsD7+/vIZrMolUpoNpvo9XooFApTSUMEMmoiWTweF+aVf0+n0zKOLMsSL9PhcChjiAw9QRUXPLQOY+UsstVkPTn+1QQnLho8z5Nx1Wg00Gw2RWdLxpQLIUYOCOjZZjWm6guNn3MfbLOMpxqmmacTZV/N6spVjSs/Y7+rLKi6H0ZWCFa5YFV18Ko8YRb08t3BZ50L3/da00O6GPhz0vIDH0ZIhz4OwcFkgnR9D1HDhK3Y54zHY/S9IZbjObTdPnreABwdk7KP0+UdI7qBsK5PEmKO9HGH/TbWUolJokZwvChKWTGkIzE0nKMI1DiAHgqhaE2SvppHYDETieNSfBm3evtw/ZGwZT+99EGEoOELvS24wQh7nRqeyW3C0HSshJNwx76Ysq+nFhAJhZHQo+j4Dm66u9hILqBgJHHgtVE7qnwUDUeQt5IwQjrCIV2AdDQUwd/JPo/fcW5ipzcBL4PAw/+09DH8Vu86zLAh236y9BSeCqXhBiP0RhOdbtqI4bOhJfy/MQuvde4BAIpGCp9a3sDh2IWfDeD4Lu62yliPFvFZfRnfjjj4vHcDwKRa10ZhAT8eXsHrS8v4F3tfBzAx5D8bTmEU38QftW8e9eMYl6IlXBlH8cVoQsCWfnRNZ9OLqB0ljvW9IVbjeXzMdfArlAYdgb2XhmG8rNhRJUwb6XBM7KM4PlJWDJeNPJqZnlijPZk9gwtmEaOxj8bR/TJCOp6113DHq8PxXdT6bXiBj2IsjY1oEWOMxU7qYmYFG2YeO24D1SOnBf9ocZQxYmgpi4m0FUciEsXQ96QyVcd1cCmcxr6dwZ32xD2h5nSwnlqAFYpItj8wcYpIh0y44ZhoKEeBj9VkAQtmGv44EPBVjKVh6REkw1HU3A6amFikZcw4ipEUbo/LE7AaNlGMTkr8tr0+6sNjhjdvJbERLWLgb6PvDuD6IyRMG6mIjb5S7MAMRxA5em7HGIvWPKKH0ZshwrWjxCRuxxY+0mcH/mwxEA0qVDXDERghHb2jBMzxeCwOGu0jLbG8u0M6dC00VZSAbdnM4suKgwQA/OXi03DHvhSS4Lv7L5eeAQD82/3XpATrB7LnAQBfKL+O79YeqVn9pV/6pbHqNUqPVGrpODkyiYihdrIknITJdgDHE1kQBFK7nBOTyuio7gLUrlInqVrdcELTNE2AIsO+BLwECABEA8hzU8to8jqp62T4kccjU0oWi1rVUCgkYW2CBbKHTKS5desWAODMmTMAIICW4ffl5WVJ5Gk0GhLmTafTouW0LEtY1YsXL8IwDKTTafFw3d7eFgY2CAJEo1GkUins7u7ia1/7Gq5cuSJsKSuSMQxPINRqtaBpmoS1WcSAAE0NGdu2jS9/+ctYWlqSIgWO4+DVV18Vf9k333wTpVJJyslub28jGo3i6tWrAjqZfEbmnDpT9pPqawsAZ8+eRSKRQK/XEwY7FApJ9vzi4qIwr2ryH1n8bDYrTC6ZSbU4RLvdhuu6ArABYGtrSyyzTNOUhcNoNEImk0GpVJLqXqrhP5OlOp2O6LUpISE47/V6CIfD6HQ6skAiGKPFVjweh23b6PV6YrfG54XsL59VPjtsquG+qitVM//ZZrWm6uJUZWz5ElJBKsG3Okb4+6y7ABsXC/yfunW+S9QET7WpCwo2LiJ5PNd18dM//dPvSc0qGR61xjgA5O0kak5natIhi6d+hywqMEl+IVsyj30hA6YyKpqm4RMLVx6ahLgNj0Vrn1TERn3QlQQdlamd16jlfJSmk8zVLHuaOHI+8I5AQ2fYf4hZTZg2/HEASzemqjoBmOujyWPR25aJVlcTa9hyKpMkrqN+ejq/iW8f3hGmdSGeQQganogt41pvB5VuQ7b5wYUr+KPKG1PHIoNJFtAMR/B89hysUBivte5O9cffWP4wfnX3y/L7UiKHDyXOour38WrjNrquI1ZaLxYu4usHN6aOpdpsOd5Q+mke28l+Vv1Tc3YSRSuFg0Ebh/2W9Pc8D+CEaeNMrIADt41KtyFj5Jn8WXzrcLos56w/cDwShT8O8In8+/CN9h1Ue00Z+3+p9DT+v/K3hWmN6AaiRgT/WfYq/p+D16aua56OleesMrMxw5os5IJgipnleGRf2BFrAqxHHpyROzW+5zH0sxEDtnnnNe/5OAnEPkprPs9q6iStOv+2EM/A1k3cbR0nmT+bP4dXD7fmHmO2PYp9fUcVrH7xF39xzNCaWqmJiVXUx3ECZlKHOsFRd8dOIJNDIMhJXbWqUrWvAMTKh6VEmdXP75PRon2QOslxIiV4JXDmOTBZhoDU930BLbNG40z0osyB4J2sMDBh96iDZdh/NBpJ0kyr1UIkEsHS0pJoXvv9Pvb39xGNRrG4uDh1vc1mExsbG1hdXRXbKHrADodDAW7NZhPlchn1eh0XLlzA3t4eLMsS5wFd10Wy8dWvfhWDwQDnzp1DMpmUakiVSkVA0PLyMi5duiSg4fXXXxdLq0ajIVrV0WiESqWCfD6PhYUFfP7znxcGUtUjx2IxjEYj7OzswLIsbG5ugsl7tEJj/zz33HMCzJkAF4/HUSqVRMYQj8fFHiuZTIpMhM4LzPTP5/NT7J6u61hcXEQikYDruvIdFTi2223UajV0Oh1huK9fv469vT0B1p7nSVnepaUlZDIZnDt3booB5Dm0Wi2RYnDMxGIxxONx9Ho9NBoN+R7twVTWlQtBy7LQ6XSmwvVkItVMeHXRBByDSHWczwJWlW1mm9V+8tkmcJwFkMBxAhefcxWwqn/n/niuLKxBJpVjQ2VWVYZ43nuLzzvBsOd5+Mmf/Mn3HFhVgeB3q56kZtfPgtDZCS5qmBiOJqCU+yBYOClB6uPFJwVs8Xwep1LTrIxhdr/qZ4+qMvUoKQGbHbEw8FxYRuS76lHZB0vxrIS2eax5IfvZRKaz6UXsdGs4kyjMBWtqhvxKIo/aoIOr6XUBkQSqJ4XRVeN7AtV5QGf2XH9i8Xl8qXUDScMWAEKgqpr/AxOrroNBC8F4LOfL8cPze1QfpKwYgvEY0XBEqmDx2mcBHC2tsmZC9qtKGmbB3uyx8nZqwt6bqakFB4CHSsMuxrMo9xqIR6JyXTyveUlis+OIQHXetrNjlJEP9VniWD1pzMYMS673UQu5h6JWijfq7HdOSvJS9/E4i0f1ut6tBOAdg1WeICc2AjPVCcCyLGGKVA9Vfk8tgwocW0QR1HLC4kSmJltwciSjVC6XJYOdDAzrqRuGgXw+L0wrNXAM7atZw6prACc4ghCa06tsEDWQqvk6r4msMSf1eDwOTdMkZAtAbJN2dnYEYJmmibW1NcRiMVSrVbTbbei6Lib+nU5H7LEuXbqEZDIplk1kZPf394Ux3NzcxHA4RLVaRT6fl795nodsNotkMimALJ/PI5/Po1gsIpFIwPd9vPXWW2g2m3jhhRcwGo2wtbUFwzDQ7XaRzWYxHo/x1ltvYW1tDXt7e1hbW0Ov10OlUkGhUMCtW7ewu7uLzc1NVCoVmKaJQqGAer2ObrcrdksE1yybure3h3q9Lud39uxZcVHgQsiyLLHa6vV6aLVaWF5eFucGaoF938fu7i7i8biUkSUgTqfTSCQSwtxGIhH0+32xuKLWlqw9q0flcjncu3cP/X4fe3t7wgDTF5alZlkJjGF+jo1qtTolH3EcB8PhUDSW7NtEIiFglYsRx3FkX9wvHQzIonKRRUnNrL0cxzt1q1xIzIJJHuckxpLPJYG1+ruaUKZKFABMHWvWZUBlVCm1mAWr6rUw0jH74uT+1DYcDvGZz3zmPQdWH/X3d5uhfxo3gMeZ3Ni+Vzq3ee1RzNHjtHdbJvOke/BuS42epnzoPGA9bxFxUjtNJv28Pjip3Oo8APpuj3WSc8EsWAW+d5nwj1t96s/iWI+zwPsPuZ0EVh+mRpSmvvx5oWRlWMWJE6XKcKpsK5M/VM0aASwTm9RQJI8zHo9lsmbmNk3gM5kM4vG4JEgRcAyHQ9TrddTr9amEKYYvORmr5uGcbHl+4XAY6XQa6XRaQtmcRMlSJhIJ+Z+sHCfdIAjQbrfFd5TygmQyiVwuh8uXL+Pq1auyL8dxsLOzg8PDQ4xGI2SzWSlCYNs2YrEYwuEwqtUqHjyYmFC3220pgctqXKFQCH/4h3+I1157DUEQYGdnB7dv30a5XEapVBJ3AjoDHB4eolar4eDgAKPRCIlEAufOncPKyopYNNGOLJVKodfr4e2338bGxgYA4Ny5c9jf35fksy9+8YtYWVnBZz/7WVQqFei6LmCdwMyyLFSrVTiOg0KhgHa7jRs3bqDZbKJQKKBcLkuyV7/fF/aTjPqtW7dw9+5d1Go18WKNRqOiZ242m1LGFQDy+bww2YVCAUtLSwJQWV1sPB5LcQMymcBEfkALrHq9LiAxn89jdXUVlmXBdV0BhoZhoFqtiqctLcB2d3cfWuC0223RM5dKJeTzeaTTk+o6ZFUty5ICBnQRoNUWny1qZoHjBSCjEjyeqvdUdeGqvpbPxCzYU7Pz+YyoulU+U1xgEkSyT9QEKUZQ+LPqpGHbNuLxOBKJBBKJBFKpFOLxuCwC+DndMxKJxNT2yWQS8XhcPqPWOR6PP+r19p9so8cj/39UezI7kSXN0yPPqy9OQ3A2epjyf7WFtNDUtldy6yceaxaoTgzDp7186ak5e108hrqtmmMx2x4V4pxts9eVsmJias5Gv1N6mT6qPZ3fhB4KicRCbf5Mf1/ILCNjxbGSyMtnl7NrACYh19k2nAFp59JLAIAXChce2vZBdxrUZqMJ5MwE1pJF+WwpkQMA/HDp6alto4YJ1x9N+cRezKwAwNS5ssUj1tTvi/Es3CNJCRuPG2D63jyTP4vByJM+Bo7vf8K08d3axcwKdC2EjVTpob+5wfSYW08tIKSFkLJi8hmPwRKzapv1FeY2qtcu2+yY4zWoffCoMath+jN+/3HGNz9Tx+y87wF46JlTG8fe47THuTenbY+sYPXtb3/7cwz/z+sAsigARH/IsOQsCwNMm3mrzCXZE1UjRwaFTc0Eph6R2lk17MkVBMP+cqHKxMwEGG7P33nOavIWJ1kCblVXp1p2URoATAN6/sy/ExQzzAxAfFk9z8P+/j76/cmKMxaLIZfLwfd98RgtFosoFoswTVMY1JWVFaysrEh1I2b5B0GAWq2Gvb092LaNq1evYnFxUcATgdFgMMDOzg4ODg5Eh8ttgiAQnSkASaJ6++230Wg0sLW1hVKpBNd1ceHCBdy7d0+0mnRy4P2gnpMG+xxDXHQwucs0TbRaLdi2jUwmg1BoUjGLlk+0t2LVMdu25f53Oh2pbpZKpdBqtRAOhyXJigsSulGoSTlk0Alc6TJg27bcK/qwapom1mSWZQmwp78rz4+JexwLZHATiQTOnz+PdDotzxGtp1RwW6/XJ0kNqZQs/nzfF7mCagelJheqY5vPxGyoX2Uo1ZW3hH+UcL+6H5VZVX9XjzOrZVX/qaCazw9lAGSN+T5htIbglyBb/ac6CfDe8nnf2Nh4z1WwYilFliMluMpGJ/IkMk96SEel38CT2TOoOk25Xzk7eeQEcDxWyFjNlm3kJOgHx1XOEqaNyNFkqpZLrTpNXMmto9JvymeL8SzMsAGfrP6Rlq/vDeR3Nv+oBCflAQDDqf4jS0TKeNWOtc+s6LOSyKM17D30/YhuwDQiiIYjCGkhScCp9poPlb5k5nlj0JWSnmvJIs4lFuFpvlR/+lDxCXzz4Bby0aQY9Y8CHz+99EGMIjqssIGuN0AwDnAlt47r9W1cTq3hemNbjnXgtHA5u4bXa3eltKse0rEcz+HJ+CpagSNMbH3Qwbn0Et6o35Oyu3bEwmIsi/8m8yx6loG9fh12xEJ72Mdz6bN4rXasDWW51m/V78q5JkwbPXeAjxYuTyXW1AYT54K7rbKUt81GEzDDEWStibOM4w3xZPYM7rTKk/K4ClvaGk50sEZIh+uP4B8tHvb79YdKs3J8O95QysDm7CTW4gVooUkVJiYPlnsNPJPZFDeA8XiMbDSBS+nVSW6GO5kDWSY1G01IAiCflYRpT90vPaTDCkfwUv4iDCOM+qCDeCSKhtPBQjyDg15LttU0DYYexpXsGXjw4XgT9yI/CJC0bHSH0yzyPAY0ZcXgBf7U5+wDP3hYemOGJ1hjtgrVbLnWWVAqUquZ8q3q2JuthPXpxedxo1ee2v4k1hyA3K9HtXdUbvWVV175HFlPhjEJ2hj2UzOTAUwBOzmIflxNB8CUzk4N382GG9X9ApjK8GVIWZUeMEGKkyKTU2b9FmnvREZIZcdmk1NUuQITkTiJcnuytwCmLHcIQlzXndq3aZriecpa89RC6roukgpNm1hGhUIhsSmKRqNot9tSzjUcDmM4HOLGjRvIZrNSftQwDLzyyivo9/t46aWXcHBwgHv37okONhwOo1gsotlsYjgcolAo4KmnnpJSo6q7AgsvOI4jCV+pVAr9fh9PPfUUvvCFL+DFF1+U0qv37t3DeDyxeGq1WkilUlIkgUUFrl27Bs/zRPeqaRrq9Tqy2Szq9bqEv7vdLpaWlrCysoIgCCT03+l0hJ3e3t6Wgg+xWAyu60pRBTKWrVYLoVBI5CJMNKMnKscD2exutyuVrmibFAQB7t69K1W9otEoDg4OpI/4Oe97Op2GYRjIZDLIZDKygMlkMigUCohEImi1Wrh9+za2t7clyYvWXZSSsJQswaHruqhUKhJRYJIcn5XZkLu62FSfKYbpVd0qt+fx1QXeLFtL4Km22cWpChaYSKUm9JEFZRSDixXqdLkQZLSGv/Pv3IZAntvwHq+srLznwCrdAAgsjzOeAyzHcmgOe8KQGqEw6m4XIW1SYhWAlCw9n16CE3gT1lPTED4CvJqmSZUhQw8jEjaE+RmPx/COAOpyPIexNpb96SEdtWEHy4kchv4IfuDDC3yYuoFnMhs4dDtwfQ/+eIxwSMf7MmswjQhaw8nzwLKRk7E3KftoGyaihomMFYcVjqB/BNSWEjmkIjbiZhTRcAQ9b4BMNI6UaWM1XoBtmGgOu3B8F+GQjivZdRSiKVSdCZCOhA0s2GkUrRSGwQj9I6uhjBnHj2SfRCmWw53uJMlqI1VCOhLDpeQyIuEwDp2J7VbCiOLH7At4Y1jBcOSh4w+Qjybxf0UuI5tdRyvko+q0UEEfxUgK/2Y5ii/7aez2a4hFLFxMLuO/CxYRzizgzaOSs59efB4/pi+ib0fhwUdt0EYumsQnUhcxwhj3nUMpm3s5u4aPRs/ggd/GYOTCPdJD/kvrffgtrYlvNe/C80dYsNO4lFpBUjdRGbXlfqWtOD6VfgKVoItgPIbreyjaKWwkFhANGYiaJg6dtmybNxMwwmG4wUgWNheSy7hsLWDXbaLrOnACD3k7iY+lLiBiWij3G/J9UzfwfHwdd5wDAcZm2MAziTPYc5tTZXtz0QRG4wCuP5ISv8mIjedj67jVr4hlWTwSxXP2Cnb9NoLxZDs38OFrAT6deAJvDqtyrtloApfiy+iPXRlHK4k8NmMLyFhxDMceHG+ImGHhbxRexL/v3sZut3b0vtSQsmLImkc+4SNvUt42EsUPF67iG83baA+Ox3EhlgIABDj2Ww1pk4pasyByOPKQjSYekoOM8XAlPztiwR15AigNPQzLiMz11dU0Tcot83dN02CFIxjjeB6I6Aaezm2i7DSmwPFfXXoBv7v/TXm/2BEL51NL2O0eTh3nqdwG1uML2HPqEj24nF3DRnwB1WEL+syi9B2VWwWmjbUJXshsqpm/1K8Oh0PJzuZkxomQP6uJN/y+OhkDx5pSlcVRz2OWZeHfOXmRaVFZJgDCoALTbCsTX9TjU+ag6nT5Pe5LneBV/SqZXYIiAlFVEqFpGvL5vLBqBFy1Wk10rWfOnJGa8JVKBdVqFel0GvV6HcvLy1hZWZGQ/csvv4xisYgXXngBsVgMn/rUp3D37l2sr6/jiSeewFe+8hXROrLqlW3bOHPmDBzHwec//3l4nod0Oo1yuSwAaH9/H5/85CcRBIFYQVmWhYWFBTx48AAf+chHBJzfv38foVBIvEoty8Lh4SEWFhbEfaHVaokml9n7ZAyr1Sqi0SgGgwEKhYKY4Hc6HZw5cwbD4VCqR21tbWFpaWkKkFLnyntJm6+9vT0AwM7ODkql0tRiiaBUrczGzHteV7FYRKfTEZ9Yz/OklCz1zPSUJRhjKVnqXjudjkgEVE9SfocuDtVqFb1eT3SqZKZ1XRcLND6bjEqo7KbKKM3Ka+ZpUvm9WUZ1XjhoXlKV2rhvVSKgfo/PKv+p9nR8ZimpUaUKKlOr/sxrmz3XWRuv91LzAx8jTTsuNTo+Lrs48CcafYxxVGr1eKGmh3T44+PSqnfbFSRNG313cLTtGK1hf0pv6fkj8WJVmfTRUWlXlT3zAx+Bpk1Ke9opDEcTv9fWsIe3sIO4YaEz7MMPfPgA7nQrUwxNMA4wCnxhjIGJFVMwDtANDaYYm71Obeq6gAlTWPc7ONTbMukSAL1ev/cQ41PpN9HUewJcDnotBOMAf+ANpszn77bKoi0le91xHdwLqvh60kQqMtFcDn0PzUEXP79Qx5/sXsOHik9M9ttvYRT4+KnyIp408vgGbqLt9XG3VcY/LZn4wt6xo8K/3v8m7h9lXfNYY4zxncE+LD2CjqL3fKv+APGChcN+SyQUl1Or+LeGgf3BMbvtjwN84+AmXipemrpfzUEXtWBSGtYMT9x0ut4AO53DqYx/bhs3LOx0DiUEbIYNbHX20bC6IlHwxwH2OjV8I2RMJWI1B1344wBb4QMkIlE43lDufTdwHyrbq2shSaAL/ABWOIKDQQu3dRPR8CRRruM68AMf5WQftX57SqYxGLm44bdhUMaihVDtNZE07Knr2ukcwhv7qHQbEuYv2Rl8dVRBf3QMHvVQCHVnUvGw1m8jHoliyD4YHsBXolhpK4Zqr3mUrHf8LAXjQKzeTgrFzzY1KhbSQhj502M4GI/RdwcnygVUwCuR4cCfehZc34MTuFPMbkgLwZ9hgHNWAm/VHzx0nLdbuw9ptO92Ko+txWZ7ZILVr/3ar8kfVT9H2gyNRiOp4U6Wk3pO/s5Ji+CWmfyzQFTTNMRix1oRAmCGUvkZjfq5v3a7PcW4qho51RKH50INKMHCrASBgFNlp/i5Gtaf1+gWwPA6wT2BPDPygWOpAAEJGU5+j0k8LCmazWYRi8VEUpDJZNBqtfDgwQNks1nR72maJhnqKysraDQaeOWVV4RJpYUTAZJhGLh+/TqazSauXLkCy7LQbrcRi8Wwu7uLfD4P3/exvkdgQjAAACAASURBVL4OXddRrVZhGAbK5TIcx8HCwgIqlQrK5bKwy4PBAI1GQ8z40+k0dnZ2MBqNcPPmTezv7+Pg4ACrq6tIpVJYWVmB67poNpvS57lcDuvr6wCACxcuCMvM+1WpVFAsTnRODCGXy2XEYjFkMhm5H5lMBvV6XTxtWWiiWCxKqJ6gjgsZz/NEy8vrBIBms4mDgwPU63UkEgkJ+3e7XWFPw+EwLly4gCAIsL+/j3Q6LTIAMs9qYiKlDJQuUILAZ6HZbMrvaonjUCgkjCTHvcqIqln5avSDrK/6LHEszkusIqBUtauzL1P1uyo4npUY8BkgE62G/yntYPifQJ/PrQpU1UXtLJDlu4rvnCeffPL7CVZKO02C1bw2L0x54rm8y3KSp0lA+V61eddwmj6Yl/Bzkvn6vM/nmdSf1IqxtGTXf7c2L3Frnp3Uab5/UptnL3bSOJzXB6cZs/P6+6Q+nJdQdpoxe5pt322y4p/ns3Ca8f29aO+o3GokEhHLKobCObGpkyAnKP59PB5P+TLOglIySuoESpCoAkmVteQ+Z5kilfVUKxMRLBPcqWwOJ0wCQ+B4gp/1n+T2qq5wlmmd1QLSbonXSW2kyhKxbwkYKAmo1WoS7vY8D7lcThJraKtFZtrzPGxubkro+N69e8hms7h8+TLi8Tj29/fR7XZx5swZCR/fu3cP6+vr6Pf7eO211wAAH//4x7G8vCys1oMHD5BOp7GxsYHbt2+LXdhoNBL963g8xurqKvb29tBsNrG5uSl6y2q1KuDY9yflRsPhsITiycomEgkUi0UMBgNks1mxDOv3+8Is5vN5bG1tTQGwfD4vJvwEeUEQiHa23W4jHo9jcXERAFAoFCYPgWJXxsQdx3HEDUEFdawgRe9b+uYGQSAAi2F/suKUbjiOIw4V7Dfqavl8mKYpQJU2bBxLBNuDwUASDCkRIAPJMDoZ/FmQyJ8pcVD1pBzv6rPFz1QmVJXlqIBQXdypzxC/q8qE1OeGzw4XkPN0pvynglBVjiAvrqMID89b7QP1s++36fZugCrw51sC9S8aqALzr+E0fTAv/HqSPda8zx8XqAJ4bKAKYC7QfFygetL3T2rzfHBPGofz+uA0Y3Zef5/Uh/OcD04zZk+z7byxfJrx/ef5LPxFAtVHtUdqVl977bXPkbVU2QpOnmpxAIa4qR3j5AQc+1uqTKUavuckz+Mw1AscyxA4oXFyo+6UE6nqIwkc61s5KarOBKpGTwWonPDI2hKQ8nxoAk8nBDZKHJggRJP2WCwmVjw8dyaQcKLm31n9ilne3W4XvV5PwC6TaSgboMn8rVu3cHh4iH6/j1KpJOH0Wq2Gr3/966hUKohGo/A8D47jYGVlZYrlSqfTODg4QCaTgWEYwuSR9SJbvrm5iQcPHuDs2bNwXVfAVigUwuXLl/GVr3wFr776qhSPiMViiEQiODg4gKZNyr/SmmpzcxNra2uIx+MIhUJYX19Ho9GQBCQAAvqi0ahoTUulEjKZDHZ3d6e0pXfu3IGmaUilUqJJZSIYGcxmszkVemaBB2pwabTP++s4jjg6jMdjcZ0olUqiIQ6FQqjVasI8G4YhRSkGgwGSySQ0TUOz2RQ3AVVfzQIX1GBaliVjkuOOY4D+qnSqYGY8x7QaTVATklRAN/s/K5mx8Tuq1ynPS9WDsk9nreEIXNVkKoJGVa+talJpe8fjkFlVIyKqqwD/nyflUd853CadTr/nNKvAsbciEz1CWgiRsIHVRB7N4bQN0KcXn8f17p78Tp1boCxkEqY9FwgAEzZLzWSPGqYks8wmajDRh20lkcfA9xA+SpQCJgklw5EniTrzjsXr4/+z5wAcj3X+zQxHED6q6hQ5SjiZfS5mv8+qQqPAl/Oal4AymzhSjKUR1nUAE62vH/i4mFmZaEztJBxvKOeVsmLIWgnEIhZWYnnUBm3Z3+XsGg6c1tSxnsiu4tBpYzVZQHvYR9qKYzGWxUeyF7HjNqb6bD21gOawh3PpJdQHHYS0EFaSefxy8kVcMz3UBh3p57PpRak+Nft9jiOeM89BbdwPx0reTmElnodpRNAfTcLI3A/PXW3FWPpIX3m0oD/qg7VkUXTLbAvxDHruQM4nohtYSxbxYuYc7vaqEz3z0fn8SOkZ3OqWkbbiGIxcFGNpbCZL0PUQAozh+SMUY2n0vIFsM+/ecuwaehhm2MCZZBH9kTupDneUeMRrVxORNE3Dpxefx47XnHqGHmcxHY9EMcZ8sMpxuJTITck/IrqBJ7NnUFGSJue12WQp7m/ec3dSe7FwEbv96cVANpqAM2eBoWmavBcedV7vSLNKiymCTE5ABHH8meF9hlQBTDEus8yKqlMFjsGsmkVPQKuyKrquiy8qixPMGpzTxomdQ5aMAIt+nywpSqCsHp/nTFDKyZ9gVk3aUnWzPAeGMNk/nNDZVLcDhoR5PcyaZ6IOM+fT6TQcx5Gym7zWy5cv48GDB2Lkz7/puo4XX3wRw+EQmUxGPFoPDw9Rr9dhGAZSqRQODw+xuLiI/5+9N4uRJMuuxI6Zubn5vod77Bm5V2bt7Gpyutns4YZpgRiCwxEgaUANIEAAQUjQp/Qh6GNAEQL4QRLUh0RAGGk+ONIIGmlGBNQiZ0i2utnsYjdZXdWsrKyqXCMjI2NzD993dzPTh8W5cc3CIyuymkMSXf2AREZ4uJs9e/bM33nnnnvu0dERJpMJKpUKrl8PSqA9ffoUvu9ja2sLd+7cwXg8xp07d7C+vg7XdXFwcIAvfvGLuHv3Lh4+fCivM/TNUDaTzABgeXkZmUwGe3t7KBQKUp2MjCvvAZlPmulz3GhRRP9UzqNcLod6vS6hcdpmEeRTk8oNAu8b5Sy8v5rdBiCFL1hCNplMYn9/X+Z6LpdDt9tFp9PB6uqqzO/ZbIbDw0Nks1nE43EMBgPZ9HieJ2PD+w8E2lb+Tq0z5yYBI1ldJn6x39SDA6dljTVLqqUybIw88PN8ZhgJoGZZO3zwfuovGx6Hz4AGwDraEQWcmkXVYFPfbw24o3rZKNCg5Oh5mtvPQmN5xLjlCDBkaVNL2e0YRlDtxlLMOxBo1nJOCjN3HirRuJFbwl4/cKfgIldIZODEbDROWCrXczF156ikcmiPByH9G+2RtCawPuriVmEdTwb1IPrjzpCLp7CVrqI7H2Fgj4Ux/PHqLSRNG9/tPIbre6KvjFs2ltNFjN2pvJeJYHPPxWgWfPcwQ902LQFa5WQOphEASt/3xXczaTuwDBOr6RKORh1hEjdzVRwO2/B8Txb0V8tbSJpxvN9+As/3g7r2ZgyvZy/h8biO5qSHyXyKqTfHz698DruzdlDidj5FY9hB2k7g5fQ6tswM/qB//+SaYsg7KXwluYVaLYevHd6Re3ApXsZKrYDH4yBD3oePa8kabhkZfNs+DaPXMkWsOEVcW67ho8GejMuqU8KXagdoPOzKuBQSGdxMLMMoGHjQDt77Y0s3cc0uwvN9DObjoBqY7aCYzOCmU8Os4Mp7XyldQjaWxP3+vgDLfDyFv5vcwp9NnqE9GWA4DZLpyoksVpwiJumZ3K9bpQ0s23k8GB2ijYH0KxVPIGHZofB+1kkhb6cwiI8FFPnwkbdTKJoOnJiN0WyCueuilMzippXF3XwNrZMSqI1hF29lL8P3fRyfsL696Qhb+RpihgXLNIV13cgtIWU5GMzHUgZ27rlI2wkUYmns+ME9SNkObCcoJ0xHA7pWmIaJkhEPFVAAgNVUCa7viXaX1m4fnOg+Pd+DE7Oxkangw+apIwQQAE3TMLGVreLpIJzQ9FNLL+NbraAUbyaehGkYWE0F1l88zmauioRl4/7J/dPJVLZpfV8SHidyv9jyThqjE3Bv4ATTnQDki4Dj52pWf/M3f9PnAkjgR1kAGVVqK33fF6uhlZUVxGIxpNPpUPITFyIegwwmmVH+z7/rz+qEK1r3aEaMFacIChiGJMsbzWAmYCEbyoQYHW7W5+O1AqeJLcySJwtExiwaNtWgQQMGvRBzLLgJoIcnQ8/j8ViYMF5Dv9/H3t6eADiCa7J4hUIByWQSnU4npE8kQBuPx4jH41hfX0e5XBbPy0ePHknGP1s6ncbOzo4kJ7377rvIZrMCII+OjgT4spZ9IpHA2toacrkc7t+/L+Pd7XaF7cxkMvB9H8+ePROrKIKO0WiEdDqNdrstyWZM4NNa4EqlgnQ6Ddd1USwWcXh4iGKxKHZVlB9QC5lMJlGr1ZBKpTCZTJDNZqXPrVZLmOXd3V0prlAsFtHtdvH222/LnN860dQSjNPhIZ/PwzRN0ZNyc2dZFiaTidiQ8bmhDIBM7HA4FNkA5zYAYVPJdnNO6f+1/ESztJzD3DREf9bRDl2+WLOVet7yePr4nH/RqnXAaVlV3js+OwTfvF7NDkeTsRZ+gSlAquU4/PnSpUufKcRKzSo1hRqEZp0UsvEkDvqtEKOySKNmGAYy8aSUJX3ee6mno7aQIFhX55H+nSyC2ujdNEykbAcFJy1VodjfqAUOz8H/qXFc1C+OgS6TOXXnSJ38r4+zqFpXYN/lX0izys+zuhITkhIxG45l42jQlgWcJvU05r9ZXMfhqI1cPIXOdIDOeCAG/9cKqwII2VhZiuOTiifwY8VraM4HeDKoh5K/frx6C3969KGM043iGv5z5yb+p+lD3G09DfWZJV51Y1/XsxXs9hqi/1xUVIBJV+y7dcJgv1bYwsPBARrDTqgfUdlBPpFG2k5g7rk4GrRlTL9cexnfOPwg9F4WD9D37+XSJnJWEn9+/CBUAvWtpev4i/r9MyVQl50C9sctSSCbzKcLx5vH0dWsaqkCmuMeJu4sVHWKY8Dfs04KP1m6hd8/+l7IzeCTKqUtqnh1HqDjfHy9fBkftnfPsLefFNbns8jxXqSPXVT293OVa3j3+FHIeWBR1TlxJVGvRfMZdPtUFax+4zd+w9c6TQJMLkgEh2SLLMtCPp/H6uoqHMdBoVAIWepE9XRkRqOglQsOE3a42JPR8X1fwrPj8RiTyUT0ksyW5gKvQ4gagFKfSaCaSCSQSqXOsLI8PxNS2DfqJakf5HnYNMus2aPzkrOAUwChs6gJ7qn/ZaEEMoXdbleSpXgPVldXkUqlcHh4KCwyq2f1+32Mx2Osra1hNBphdXUVrVYL3W4Xb7zxhoBYAsdcLodcLoePP/4YnhdUMKOtU61Ww9LSEra3t1Gv19Fut1EqlSSRqNPp4PLly5jNZnjy5Alms5lYNnmeh06ng3Q6jdlshoODA5FZULZAD13HcTAej3Hr1i0Zk3K5LONNZlKXbyVLu7y8LDKHbreLUqmE6XSKjY0NcR0AgqpjHAcWF2ClrXq9LvPro48+wsHBASzLwq1bt4TZpbygWCxKIQUCaF4Hy67yeSKTPhqN5P6SZaYmlxGLTCYjjDHnntZzcix01ShGHDSQ5LMGBBWe9JcGwSE3DPF4sODqzZd+Jgi2CVbH43FIP66Zbz6D3ODkcrmQ1ITyGUY6tI5V3+NPalH9+Pr6+mcOrBKkLVp0oskuvEf/cOXz+L/2/zz03vMWuhBrf3KORUwKEE6O4QIczSTXf9O/kwXmcXms6Ln4u+7XIrB+3rnYzisZqz//vESZiyQCZZ0UxvMp0nYiBCqBs4Bk/USykbIdYSAJVG+VNs6wbVEQRKC6la9hu3MYem+0UtRqtozGsIvLuZqAUALV6OdrmSLG8ykSsbhUhuI9XQTEohWoyqkchrMJyomsbE74nui9ycSTiFsxLCeLkmnOvi+qTBV97fXyZRxNgrkWrVYVbbYVQ8y0UHDS8l69+Yje2+hc4Bgs2mRFr+siIHJR/6KA9ftNvIoec9Fzswionnf+QiKDzmTwQtcWHYtPBVZ/67d+yydTSEBGQMGsZQ2uuLgsLy8jnU6jUCiIng4Il0tkJ7kYAxBGlAudXiSjlbN06J/sDisf0eqIDK1pmpJtTJ0dF2ZaApFJYqUsDQDYN3p/uq4bKoLAhTUWOy0Zq+2ztH0X2VHtcalZoygoJwDnfaDeMp/PwzAMHB4eSuY6mcujoyMcHR3hxo0bEqZuNBoCyNls28bm5iYmkwni8Tj29/dRKpWwsbEB0zTx+PFjPHr0CI1GA6lUCuVyGdVqVTLxPS/wHS2VSvjoo4/wyiuvwLIssa+iewRthNrtNp4+fSr3Ih6PYzKZoNvtotvtihSAn6VVEwAUCgUpz9rv94WdGw6HIqNgAQXKKOLxOPr9vkgoarUams0m8vm8MMkAZA50Oh24rotOp4MnT54gn89jZ2dHEtxarRa++93vSgWx27dvh1wyJpMJ8vk81tbWZCNG5n4wGKDVCr5E+/1gkeJ9z+fz8DwP9XpdNKwEXcyaL5fLIU0nwa3WmOpEJ85DPp/sJ8G5ThDUQHVRNEIX3ABO2VsdZdGabp2sxueP3wOaWeVc1hpYPkfcqGqZA/vA5yPKqur/ee6NjY3PHFj9m+7DD9sP2w/bD9unbd9XuVUNMLWPKRdKXd2JPp4EntqLVGcXa7blvH/AabayBq6aeeTxtFE4Kwql02n5RwNyggcu+gyx93o9KTNKcLjIFYAhSgLnKHhmH5koRtsizVrpBJOozo6AlGOr+0oHAC29qFaruHHjBi5duoRqtSph8ZdeegmFQgGDwQCZTAbXrl3D5mZQLq1er2M4HKLX64nd0/HxMVZXV2HbNt5++2189atfxTe+8Q00m00UCgVcv34dW1tb+PDDD7G3t4fpdIrj42PEYjEJ9TcaDUwmk1Ai2mg0QqPRQKFQwNWrV4XZJOvYarXQbDZFJ0pbJoIxMpzs76NHj8Raa29vD/1+H67rSiIWE3Z4L8iwZjIZydjXZvqUhDDLn0Cv1+thd3cXnuchm81ib29PytWeJO5gZ2cHrVYLhUIBS0tLorHt9XqSEJZMJsVftVgsSqSBG5p8Po9KpSJgl0lVrNZF6QKfnSgIJIDV80Qb4zOxkM+UNtNnVEEb8VMby+eJ2m7OW51otej51T6pOpSvwXA0xH+RpiMN3MhqJwP9HrbPqmaVnpqpSJlL4Gz5UJbkZNhat2g5yUXJSKIXNs7ex2jpxkVlUaPHYXNiwXOiS1fy8xu5pdB7WShAXy89NS8yB55XujL6Gq9Jv85znTcGuhUSmUAXuKAUbvTerGbLyCfSUsoUOC3leau0cebzukyo/v1X1r505r2VVD70ezVdQCaeFN0kcFpCNVoadiVTQtJ2QveB3qqLSo1GS2/eLK4Hxv7qvSynGh2XSiqPTDwZKuPK8y4qWVtIhEss/9jSTWzmqgtLhUb7tZmrwjKt0Niwj7oM7Xmf5zzQY3jeewGEqsr9dbdFc1W3RWMbfe6As/PIMq3nlmxd1C763k+MrTHMB0DCwAAkAYSWPgwZAqf+jExo0V9y2hUAQAj8sWmPU82YEARqTRwZSrZsNit9jjKttAliOB2ALMCJREJCk5Q4EDgRKPMaHccRZokhXiZoMYFHM8PUu/IYOgmF5Te13ydlChzDdDotzBSN6jlmDHsziYjsKWUPLCBAEDSbzfDmm2+i0WggFovh0qVLuHfvHiaTCba3t5HP57G1tQXTNHFwcCBepZPJBI8ePcJP/uRPotPpiIWVZVl4//33sba2ho8//lgSkpisFY/HsaWy/TnWzITnRoIh6XQ6jV6vJ/OqXC6j2Wxic3MzxPAxoQk4Zb17vR6KxaKUrj08PBSQyrA5E5t4fyzLEo9bvXmoVqvwfR+Hh4fY39+HZVnodrvY2tpCr9cTsEewm8vl0O/3hfHm9c3nc5RKwRdxvV6X54FJc7FYDM+enWq3uKHhZkmHygk29WsEspoV1brrKLNKz+Loc6Oz7DnO7KtOLuRc5XcBN1pk/nkusq1aC8tz6M1uNILB61iUMcqNRLT//K7QwPeTJDc/yC3rJOFYORyPeqEw/c3CGh72DjCanWx2DBNP+w28Xr6M95tP5POGYeBGYQ2Pu4eYusEYMuFodlKGlaHDaroAEwYaoy4smJi5cyRtBynbget5mHpzCQun4wlYhomMncDUm+No0Ma1wirKdhaNWRd7g6YYvWfiCXwx/yr2592QxVDcsnEztSLm8qvZMkp2BvVpN5QRHTMt1DJFtEZ9SeAoJDLIxVNoTfqixY1bNpyYjWw8GUraysSTSNlBEtRwNoHruUjFE4ibQYWmueuKFCF8LlMSuW5m1/Bhd1fM6S/nl7GVqGB73EBvNsLcc9Ee95FPpHE5U8Pn4yv45ngHHzafopzKYSmew09mr+MbvQdyXTk7hWtLKxh6Ewk7r2RKWE2U8E+8Vfwj788lvD/zXKxnK3js9iWcnbQdVJI5/HbsNv7R9G2RVUzcGX6l8qP4o+mpDtX1PfyDlbfw3vApnJiN42EX+UQaMdPCl8ov4YNBWLO6nq2gOelLyDvrpHArt46EaePd9mP0JkPELRv1cQdfLr2EB+Mjubeu7+HNylWMvSkedg4wdWfIJ9JIWDaupGt4v306P4fzCd6sXMXH3WcSxnZicfxS9S18Z/xM5BW2FcPd7lP8XPlV/Oujd+VZSNoOrmaXUbVzeLt5D6NZMJbpmIPXSlt4NjrNbjdg4HZpE/35WM4Vt2yUk1l8IXsVv3/8PobTsZQ+LSWz2BnUQ+H1rJPCRrqCu5NAxkCgeKOwiv3hqWThjcoVAJBn0fVc3CiuwTJMdGaBrCBqw/ULK5/Dn/UehaQPP7v8Gt7vP8Vhv4XNXBV5O4XHvUDGwbnxhaWbsAwzpAXmc+tYduhZYnvarYd+t62YFFUATsP5lmme0bkbdMU4KUTC119ExvBcsMqFhz9rRwAuKmRONVOoE4rYdAa8TizSrCmPrT+vRbhaNxcV5/J/vTgbhiFAtdvtSnY1s5sZpifwYPiT16T7qxdU9oHHYdiTCTRaa6c1sAQPeozoAsDXeP5ohjXHZWlpSZg6ZqnXajXxWp1MJgIUCAIPDg6QzWZRq9UkRF4qlbC3t4evfe1rUnSACVX7+/uwbVs8SO/cuYNUKoWNjQ3s7+8LgGGZ1mKxiD/8wz+Ucq8ff/wxXnrpJSlK0Ov1pOIU/VdZOCCfz4u2td/viySBc43g33Vd5PN50e9SquG6LsrlsuhzWTiB4XTeU1bd6na7ArIJYOfzOdLpNAaDgQC02Wwmfq2j0Ugqax0cHISS4ZLJJBqNhgApbelEG652O9CbkbWfTCair2U1L240bNsOWaNxLkX9SPXPZKL186B/ZrKhZjI1kOP95HyO2sWxH1o2wOdDh/018NQa02gUZZHWVj8rnPfnSZQuCkIvytr+oLX+dAwjbiATTwRgazrGzJvj4/YzvFzcxAetHUzdmYDO+719WVyZCHG/vYfbxQ180No5ydKfwzQMSYDhYtQc9aQM63A2kden7hzJWDxk8ZSPB3O+PRmIzdSzwTHclIdVpwgDQSb6UiqP1UQJ3xs8xWB+qn/86doruGxm8U/335bjtsZ9tCcD3M5vYByf4s7JQj+ZzzB153BitlgRDWZjuL6HciKL9mSAtts/sb8KFs2Z0hQyyzwdD+zk+tMRZm4AUnNOCnPzFKxO5jPMPRdOzBb3hc5kiDveDl7Pb+Fu7ymaox5akz56sxG+UriFPbeP7XED7XEfq6kSXo/X8O7sCHvDphzzeNqD7SyjHM9iF4G2MxNL4KpdxNuDbVnke9MR/ovkBv77eBNZpUX9idJL+K+mafx8851TeYzv479Mvor/znsK06C1VwxXMsv4/2Z7eNQ/rSo19108nh4jZlhSgnU8nyFtByV8tbME7cQsw4RpGOIiMfKmKFqnrGIxmUE2FtgxNSen2unhbIKuPUTFzkkN+/50jKk7x/XUcqBvPRnb0XyKvXETyVhcKjZN5lP8v92P8I9zr+J+bB+T+TTYLLlzLBmB/Zjne/BONl+2GcPUP73fg9kYpmHgi7lrGHunrhKpmIMlO4ejcQeOZWPmzhGzLNxKr+GD8X6oYlTSjuPV3CW83fgYumXjSfTmp+DPOUm6e9Q9DIG695tPYBoGXi1dwtxzcaf5BP2T+Z+3gzHcQwBWf2HlcwCA/3v/Hfl8LVPEq5kN/OHBacWz5riH5riHy9lacI7jbQDAnx59CCDQNf9l58lJ5ThPyijHIww3k+Z0Y1UuNt8PrOoSVhyu58n8NE/mxNxz5bnV+O+i7bma1V//9V/3qdNkNjMZPi5evV5PWMpEIoFsNivlLxkyzGQyEnrU7BgBWhQI6+pOvu+LEb5mW3VWPa+BbCrN9mmkTrN5Vs6ihpW6Wn5WSx10qJLJH2QrNVPMPhFQ6MWeWk1qMIHThRg4K4vgos+CAdRC2raNZjP4EstkMiiVSjg4CL5UGOqnT6tpmgIQWa3JMAwB66z61G63EY/H0ev18ODBA5TLZWxubqLVauH69etIpVLY2dlBr9dDLBbD+noQEvrOd76DtbU1LC0tYTKZYHd3V8bTMAz0ej2k02lhUWkZRnZ5Z2cHs9kM2WwW9XodjUZD5AtkXxn+7vV6EqIHgLW1NQwGA5TLZblnS0tLaLVaKJVKME1TSqcyAWsymUjJVToJ9Ho9XLlyReYlZSu0snIcBw8ePIDruqjX6xgMBuj3+3jy5An29/cxHo9x+fJlFAoFeF5QzY0yE1YjY0Urx3Hw7NkzCY93Oh2USiWxEut0OgJ0yaRSp5tKpbC0tCSf1c4TTFTiM6ZN8nX0QmulOf/0/3oeao2qBpJkKfVzRvaUchfqYXkt3DTyn5a2UFutE8WiYDyqVWU/zssojTYC1dXV1c+UFsCyV30muSxKeoomejwvCzrKeiwiCfieRQkjDAdqJoWM7iclMpVTOTRHvYD1OwGOXDCjn0/FExjNJoiZliz+PN5FKi2JLGdBAku0X/LdDyO0GJOxi54r2lfbisGAgZTtnEmwit6bm8V1HIxaSNsJYdSYWLWo+lI0kelX1r6E33n2zTOvloJ1lAAAIABJREFUAziT5PZqeQuPe4ehZC4mMkUz/zdyS2iMuqFEJPZnUXJR9LVyKofRfIqNdEWOy+pb5yWZJWJx6S/7tQhAkUFmIyu64hTx7XoEREb6VUnl0Rr3sZYpY6d7BCAI/+90jxaOd/Tzr5a38P7x9sJ5EH1vKZlF56S08N9ki87PaOIdsBioskXnEVlU/dyf1xZ9ZwCfsoIVw/w645cnIPulmSguWFGQRoshAjaCPt1pLog6iSrKzGoWlf80iGWoU7NLekGMxWLC3DG0zkQxfWwCc+ogWUiAfeSxovIFraslk6T7ob/seRyCANolcXNAgEenA127vtPpYGtrC91uVzSxnufh8PBQdK2ZTAaVSgWj0Uh8X5mN3ul0kEgE+i7HcXDjxg0xqaeudzqd4ujoSPSYd+7cwcOHD3Hr1i20223EYjHU63UB+5PJRBJnxuOxJCSR1aNFlL7HhmFgfX0dnueFfEg5htPpFMViEcfHx6I9rdVqohUmy0qge/XqVfT7faRSKTQaDUynU1QqFfT7fUm28v3AYo191MlKlI3wXnHTM5lMBDjzfnLzM5/PUS6XpWQqr2s+n6PRaAi7SncFaqgpB3EcRxw1KGcolUqh4ho6aei8HakO12t7M4Lg5x2DIJWf5f+aVdUbRZ0ASHbbMAwB/jwm+8E5oKUXGmAuiqzoPvI5iTKl+r36mf8sSwCA0ypA55n460YgGAWqi1o0igWcmpWfR3roBeuU3fvke3M87AYbTJWBzQUz+nlaV2mQw3NdpNIS33sRr0eZj6oP/Pki52IYOQpUF7WPW7vIJ9Kh0C8dABZVX4q233n2TQA4A1QXtfePt5GJJ0NVsAhaohZVT7t1JG0nlF3P/kSB6qJ2POwiFU+Ejnte9a3dXgOZeDIEiNiv8wCUbnebO9jMVc8A1UWtMezAMi0BqgDk54uMN1nLi8yD5qh3RqP8N9Giz1IUqAIXG2c2WRMuAMJfhFUFPgGskuWKhiQJDKmRI6jTCxIXZlr0EIgQ5EXfz+MzHKmLDGhZALWh+nUCF/ZJe0WSteFn0uk0TNOUsDkHl+DSMAxhtnSpVAJs9p1MFZsOxfJGRHcOZHUJIqhd5bk5ztPpVMBfKpUSkO84jgDWo6MjLC0tIZfLyfm73a6M92AwkA3F8fExdnd3sbS0JCCcBQIIAk3TlFB6vV4XMD+ZTCSh6uWXX0YulxMm8erVq2IhRqaQ8+Hp06eSGJXL5aSiFPtF1pH6Tlo6USPLTRIz6JktD0Asp65fv45SqSSJU2STbdvG8vKyWHDpkqmGEfiZsh/0e63VagJqyciSbR+PxyIT4EaMHrDFYhG+74sfLDcJhUIBu7u7cBwHly5dgucFBQoGgwEeP34s7DPvOT1vc7kcKpVKKDMeOAWUmt3knNDzSj9PnBcARG9NYMm/aXmNBrs68sH3E6xyjvHZYr9YkEPLY3Tf9Tl0fzWQZn91P9l0dEJfp05sJJj+LDcyO4tYkugC8XwW1pSwKRCuCEUQucg2ii3KuD7PEzX6e9J2zlQSIvMYtRFaZJ/FnxeNQbTJ82CYZxbZRWxx1Ivyeb6Z0UpXmXgSw9lkIQOpw+dAENZtjwchZpPM4eX8spjJs43n4ftHm7Io2xi8Nzy21XQBw9kEX6rexjeP7gIIWMm7zR1hPdmuFVbRGHeRthMCInk90fcCEAkB263SBp72Tz1bAcjP0cQf9kvbZ9G+axHjV0nkQtd6o7iG3uwsOwzgTMWzy/ll7A2aKCezoeISzVFvIbManVdkhRcx2YPI/FjPVvCsH9afcn6fxzieF734pM3fItutRfZxwGmUQp+HY7Do/NEqZMDFS8Oed53nteeKujTbodlHvVgwTMdsYl0ViiwaP6P1qHxNv4eNIXUNaNmXqH5P9yWqxyNoZgJMNpuF4ziiR+x2uyGJAAEKgeRoNJLMcToG8L006Y8uoDpxRF+rdkbgWBIMEGwDELZPSw0IlLkosyzq9va2JAcxQYkA1XVd7O3t4ejoCOPxGBsbG7h06RJu3LiBtbU15PN5AfG1Wg3lchnXr1/H1atX4fs+jo+PYRgGstks8vk8Xn/9dZRKJSSTSeTzebHFymQyyGazErrnNQyHQ3heUB5UV6JKJBKYTqdiwH94eCisnA4lswCD67pIpVJSsrTT6YhutNvtim0XGUuCJOpEU6kUer2eeMLS+SAWC0qi7u3tiUSB8gtqSgnwcrmcSFhoR1UsFnHp0iWsrq5iPp9LchUTrkzTRLFYlPtOppZsMJP5tG66VCqhXC4jk8mIhlqHxBcCAi9s46bnjN4Y8pnh86k1pDqDn5+JGvRHn0XdL32cqGVbVCvL5/J53zmLftayhmhjP37YgjaaTZC0HfSnI8muDgzag2QivnartCEm6QScQLC4ObE4ErF4KDvb930kIgvf1J0hbgUV+sgUBRq14J+erzwXpQDsl2WebmaAYNFfxE65ngvLtMTMHwjAHz1ONdhmv/rTkWRpA6f5Bjrb2fd92GYsBFQpYTANUz7P8pQ0OY9el26ZeFLKu7JVUnn0pyPkToAd+2AaJiqpPIqJDFazZXntsN/C7cJGCGS1x0Gy1OPOAWqZIgBIZv313EroupqjHkrJLNrjPq4WVmS8C4kMaqmCvGYaJo4GbXy59JIAVSBgJW+XNnE0aEuWvW3F8KC9h1qyEAI7vckQWSclxQ+AYMNRTRdwLb8izgT5RBofNp9iI1MJMcZMlss7KRlvHu9yNuzz+rC9j6uFFZGE8Bou55ex6ZRD57/XeoZb6TV83NqV95ZTOVTTBdSSBblvpWQ2GNNUGGxzDI+H3dA8sq0YvlJ7XcbFNEwpDtAZD0LzYTNXDX0/peKJUPELNs7vRdKm84Cd53sLHRg4BlkntdD7tzHsnMnkd2LxYDOJ8Lk5Bos2uqEI2TluH4scNHRk7qLtucwqqzSRAdThdtZdJ9iitQ1DzlysmFG/KLmCIJOeijosyfOT9ePfCfR4LC0f0DIADWQBSGj7+PhYBotsF0EwqwMRJHDxZZ+4oGtPSN1fHc7k9WnZAMdBWw9pcEntr2anqKXUx3NdV8p4AhB2czqdiu6T7gBkGEejER48eIAPPvhAQu+XL1+WKkYE5dR4zmYzsWFKJBLiQcp7+q1vfUtM6uPxOK5fv47RaATDMNBut7G6uop+v49sNotmsymMZLlcliQjzql2uy0uB9euXZMktKWlJUlsWllZEcCVyWRE9rC8vCzsKO8NLZdo88UkLsuyJEsfCIDw0tISEolgAWUYnoUBut3wTtqyLKytrQmYazab6Pf7Ui2M0oLRaISDgwMpszsYDOS+VioV+L4vEQvqTxOJBMrlcshVgxIazilGDoDTBKZodjzHlPOL8y4aXuczwKbnsn4+9QaT5+A85GuU+2h/ZB6TCYfsDxDWy0YlBbqfzwOmHI/oa5/VpCrdWKkKOGW1LMNEzkkhGYujNe5j5s7xqHuIpO0gYdm4VVnHnfZOUBbUnSHvpJGLp7A/D0K9thWT5CrN1OQT6SDT17Iwd124cLGUziNlOWhN+iE3gC9UX4IFE99tPzrJpvfwHy5/HjYM/OvmX2I0C879S7UfRcIw8eeTA/TckVQ6+t3KTyHlefhv8BhDd4LtziF+ufKjqPoW/ufxx5h5rrCNP1V7BTnTwTv9J+hMg43v6+XLKMTS+KD3VMDm7dImHNPGR51d2DjVSybsOLInFbzIWHonutack8LUnQszahiGZJQPZkFZ0ok7Q8y0UE7mpWJYwrJxu7SJYiyNVmqAw3Eb/ekIl/M1vJ5cx868jceDAJStZkp4Lb2BjjcOGd1fzi/jRnIZ7/a2JWO74KTx+cwWns27IbbwV9a+hIofwx9lD/BkFDCQK+kivpy9hoezFu73A+lHynaQc1J4NmuH7m05lYMJAxu5JSk1asAISrbGC9iOHcl7C4lMAGCtGEYnc2juubieXsHMd+EyaujOsZIp4bXEKnrZUagogAkDr2Q28F53O6g8ZphYz1aQsRIhZtOJxWEZJq4WVtAYd9EZD4L5aTkomAlJ0JqeuARUrZQUIhjNJhjNp7iaXUbeSuHJSZh/5rmoZYp4K30JtmnhYXtfxqCayMM5cUxgRbRfqv0o/vf6O8JQW6aJnJ1C0clgp1cPMe073aOQJpx/e7m4iUf9Q/mdJVTjVgxTdw7XDwpoJGNxHAxaoWpqLA37oL0XGpe07aAzGcoYcI5u5JYwnE9C7HBj2MFqtoz9kxLKrAS2mimhMx2GmP/WAtnKaDZBKZmVOWAYBizDgmkYZyq/mYYpmnI+e4Zx4hCgkrGe154LVhmG1r6p2kOTWfSmaYaq10QzgfUCpkOKOmyu2RGGOAlK+f6ozlMvyFrvtigUyNA+GTIuokwU0wspATSzswlS2adoqJWLOdlN/o1jQSZKXw/7SX0s38ewM89JOQQBleM4Yu1E43luEjQzHIvFkMvlMJlMcHR0JMxmLpfDaDSSUPZoNEK1WhW95mg0EsCiCwjs7Oyg0+ngypUrSKVSWF9fR7vdxnQ6RSaTwf7+PjKZDA4PDzEajaTsqO/7KJVKGI/HaLfbUqzBcRw5/tOnT+WeHR8fixzAsizp73A4lASrdrstGf29Xk/M5Qm2O52OgD4CQ+2uQD9VVgDzPE8Y5EajIRuxXC6HXq+Hfr+P+XyOSqUiDDJBvm3b6Ha7Eo7XYfR+v49arSYbumKxCM/zRK7AZLp0Oi1ep3oe6t0o57OWAVASo/+uAZxu7Jdui96jz8mfNUjV79WbSCCsK6dcSPcx2vSmbtHfon2L/q51qvp6XnTH/oPWepNhIMuYTU7C4UH2dmcywGA2lozfqRsUdXA9D++MHkjyTsy0MJpPTzLlgzG1rRja4/6ZsGNnPDiNep2wiK1RH0de+0xY/e2jj86893/b/zaAsO/jPz/8Dmbu/EwI/z9ufC1UbhUA/lnru6L/0+f62uEd+TzZxoe9Awxm41By1IPOPqbu7Mznfd9HfRAOk3q+B9fz0R4PFmpxG8OOsG8zdw7X86QCVX86QnsywG6vIWFiMlsjd4o/at1F1k6iNQpAQcFO46sH7+JyfjlkS0QwfjRoy7m6kyHuWHuYevPQvP+dZ98UCQA9Mh3Lxr9pf4hULAA1QPD87PWOkSo4IRbueNiFdcK6llM5TOZTWKaJ5qiHYWYWem973EfciuF42JV7k7IdHEzbmHpzAdEx08J+v4nHyVaIXeyMB3A9D0+shjgxTL05dnsNOJYdAlmT+RQjd4qn3bqwir7voznrYxgvhu7LZD7FoTs4w4wejtsY2hMUkxkcD7uYey4O+y3cix8JUOUY8H9hK+NJ7HtB9jzvPZ8PHwFIiz4nUTkIAHTnoxCo1aVKbSsGF0BnMsDxqHvm+3C7c3hGMuH7fqg6nW5Hw85ChnWvdyybIcMInosoUL1o4zPhRVhgz/cA/0QWhHC+xEWBKvAJbgC/+qu/6kerSxGQ8fVMJqDByea5rotMJoNEIiGslfYJBU7LYtKPlEBMA1MCOS70PLb2idRME98bzXbma9Qr8v08DsP2ZFFjsZiEk8kaEtQS8DDkqqt5Ud/LUC/ZWiAcliWw1glomhXiOVgvnky1rsZFoA8A29vb8jcA4sZAkKsT3rLZrLCHphkYyh8eHmJ1dVWcAfi5wWCA999/P+Si4Ps+Xn75ZWEPh8MhXnvtNaTTafT7fViWhUqlglgshsePH2M+n+PSpUuYzWao1+uIx+P46KOP5PPMsu92u1JxqtFoSBWp2WwmGwbqUCeTibD9juOgWq0ilUohnU6j2+2i1WpheXlZmGGePx6PS6IW9bXlchmDwQCVSkW8UCeTCZ48eSJs9HA4RKvVknm4v78P3/eFDeX/vV7wJUHg3G63JbFweXkZAFAul+F5HprNpmwCKRfgpo9zm3OXoFhrODmPmIRFlw5urDiPGA3g/I3arwFha7XzQKN+rrTOVj8LeiNLVw46cpC15oaUtl5MftTWcDpiskjXqKUI0ciGBtlsP6xgFW4v4mt4kez4f5ftB+Fci4573j1YNN4XKeH6ad67SMt7EX0v2yId7HltkR76vHMtuoYX6dciV4uVTGlhqdVFWuMXGcMXmTMXccD429JepF/nlVn+ftqncgNgaUbglCmhbk8zSZqhpN7Q8zz0+33RLTJ5hBo44NT8n+/neaLlGvWCSHN9bZoOhBdR/kzrJC6cOoGDVaq4mGpNKYEkgQAX1nw+j2QyKRrGbDYrVlLa4YDZ7mQ6yXZG+6kXXA2uCUjpoMAx04xRv98XQMWQ//r6OjqdDsbjMYrForzPsiwJV6fTaUl2arfbcBxHPE/pM0rwls/ncXx8jL29PTx48ACtVgu/93u/h9FohF/4hV/A9evXRRvLDYm2siLo1MDvxo0bGA6HUs7UMAzk83nRCMdiMXS7Xdi2LQUNfP/UX5b3i56phmGgWq1KkhSrVfm+LwUHksmkWGYRoBIEG0aQULe9vY1Lly6JFvjVV1/F8fExhsNhqJoWiynMZjPpUy6XQz6fF2CvS+x6nicbPR3uZsEMbog0g8pNjI4kcG7oUDklNtwYMfFPgz9tnh/Vj0alKtGmXQSEEVN6bM5Rbvx0dETP1ejc1k2zttolQOvOdZREF9TQcoFopOOHcoDF7UXqiC/Kjv/rXFx/EM51ns5wUVs03hcFTi/63kXg76KAEMCFgSqw2JXivHMtuoYX6dciV4tFQBXAwqS4FxnDF5kzi+7530agCrxYv/6qgerz2idWsNIheV2RKppExMXLtm2USiVkMhksLS2J2TnBK1lG3XTyhmZYo5o5Lo5cnHhOSgHo78hj0nPV931hLIFTloqLOhlazcJq8E0QRyBydHQUSvQiuE2lUnAcR4BbMplEOp2W0DP7znNoWyGyUmRCyajq/gAQcMrrYaUlbh4ymQxSqRSGwyG63S6SySRarZY4ABweBpqoTCaDjY0NzOdzHB4eot/vY2NjA4Zh4PHjxwCAarUq4XpdVnd1dRXj8VgqO9VqNQG1HHsC+fl8jna7LaF79rVareL4+BiFQgFHR0cYDodYWVnBfD5HsViEaZrY3t7GfD7H7du3AQQuCclkEoVCAbVaDY1GQ0z0u90uCoWCAJnBYCDSCDbqRcmck2mmtypLunLjQiBVLBblWhlJ4P2jXIIsKR0OgEBzzU2RLhZBlwyyo5pN5D3Xz5QuOsHngefW4JagkZs57TDB4xL8aTCnwR//15IAvbni+zXA1fpW/T72U/d5EWOqWxQcR4G6BtUck0XA9LMuBQCe74/IxnGmn6RuUaYvbtli7K3Dnzp8GW2aUVrEHLKdx2jpz5+XlcykFN0vvvcijZ+PmdaZxfciXrMSGbsAa11IZNCdDFFLF86AqChLRa1oOZmVZCRe16L7FfX3pKxjEQsazVjPnFTw0hn+ZCSj9+ZmcR07/TqWknnpAzP017OVM8lDUQbzVmkDH7eewYnZ0l9eV3QM8ok0ik4GGSshBR/ohLDIeSD62nq2gpkffAd90nsLiQyGswmcmC1hcPaHY6lbVDqij/NJYH7R8/Lvimk1DVNkCBKBPUnyi463YRiopgtwPU/mgdZMR1v03i56PnQ/os/SIgeO89onMqvUoTKLWBuTJ5NJVKtVqZTU7/elulKz2RTDc/6rVqtSPYkLdRTwclHjxWhgzMWeC7hmRmVAThYuDSb0gkbwyoWcIFGHXslaEawmk0kpx6ltpyhV0J6S/X4frVYrlEmtQ64a7EdZLu2sQOcCXZCA4Hs+n6PT6YjHarPZxO7urpTzvHr1qniCkmVl+Nn3fVQqFcmgpyZxbW1NfqeMgPd/NBqhVquhUCggn8+j1WqJW0AqlRLdZy6XE0kH9ae5XA5LS0vIZDIhf9RYLIZarYZmsymJVzzfwcGBVEQrFouo1+uYTqcolUpyr46OjiSsT3ay2+3Kscn4UX9K8EwmNZlM4ujoCLPZDMvLy8KcjsdjrKys4PDwEN1uV0L61Nfm83mxCOMGbn9/H+vr63Jsyhq4MRuPx+IZS5YegCTqRYEY53cUrHHjSLadc5W6UILlyWQijgRkIunrSqCq2Vc2DfD0M3XeF6j+YtL/2G9+jhp3Xtuic0YBpwa30aadN/i7BsFRLe1nrVGbt5moYDAboznqwYkFVXz+/fIb+De9j7HXO5YSqpZp4lqyBs/3sNtroJzKYTVZwla8jHvjQ3zc2kXWSWE1VcLesImpOxfwohOvXN+TcqnZeBKD2SRI9Di5DXknjbgVQ2PYlbKLlmnBidnIx1M4HLTh+V5QxtGKoZYsYO67ArhNw8St0gaOJz30Z2Ox3Cok0riVWcfUn+Pto48AANcyK6jkr2F/HmgO3208xOvlyyjF0hj7gYbyO/V7eLNyFZZhojHtoj8bh4znnZiNL+WvY+jP8W8Pvie6z2vJGlz4Uqry9fJlGDBgG0E5yXcagf43YcaxZuexP+vincYDVFJ5rCVLuFwsY3vWRCrmiAXTZqKCvJnAt7sPcTzsopYpwjFt/GL1TXw0rQtYTcUcbJQr2IqX5H59ufYyftxawj1/gK937sk1vJVYxy8vX8fvznewGzvGYb8Fy7Twdyo38FOxGv6f6VO823iIzVwV6ZiDH0ms4cGsJZ8vxNN4eXkdU9/FB72novtsTftnyq0ej3t4a+k6doZ1AUKmYeJ6YRUvJWr4k/Y9NEc9rGcrGLlTXC+sojcfCVjN2ElcSldx2S7h652PxYvVMkz8fOYm/mXnjpzLh4+fXX4N73a3BSwlbQe38xu4ZBfxdf9j0Zi6vodrqWV8t/VINkuFRAZ/t3gTu7MOGsMuPN9DKp5ALp5CNZnH4egUwLq+h0w8icNROPnMNMxQ8QDdNFC1TAuZeALDk2eBG8MVp4jvNO4F13PyPfX3aq/DgoGvHrwbepavZpcFqLOl4gmYMOD6HjzfDyU5pe0EBrNx6PvcNmPBM+efJl4tsk/zfR/LTgHfO34srx0N2gulFHHLhomzhADH3VUVwugqoq3wgghY2K7tee25YFVrwhj6LxaLyOfzAj76/T7q9bpYDenGxZqLF8EIba60l+SiRVIfR+s7tfQgGspktno0FBjVtQGQBZ7MKFk47S6gF0GdDKX7yuvg+/lPs67sn+6TDtFqcKK1uwSEfC2dTsN1XQnpDwYD5PN5VKtVfPDBB3LtzHpfWlpCu90WkJfL5dBut5HNZvHkyRP0ej1UKhXRI/u+L84JtFliqVXfD7w0fT/wVU0mkwKA8vm8ML6UX5TL5RA4XFlZwe7urvSHNk8EVI1GsCPXOtV6vY7bt28L61wsFtFsNsWSDAD29vZEH80s/StXrkhhgH6/j9dff102XrSFYh/29vawsrIiVcJyuZx4orZaLXQ6HRSLxRCzyM1SuVwWYBqPx+H7fiiJzLZtscXSc1DbQ2mt6vNAomYztZyE94DHsiwL0+n0jFernovR5+K8c0ab3kzyd308vTnle7WkIfq+82QBUZb5edpaDZp57PM0uJ+F9iPFK7gSK+Bf1r8L7+R+lpNZ/L3sTfyr5vcku72cyOJGagXXY3n88/o7kgRTcXJYtvPYm3XQmARgbzKfYbt3hFcKm+i7Y7FTkgUTviRuzdw5+tMxsk7ypNxrcE+7k0DClXNS6E1HcE8W77gZO00O8oG0nUD2BCDoZhoGmtM+PN8XhvbN0hWYhoFHo0NMFEM0813sz7uwDQtT/8ST2LQx9GZImTaabsAqPh0G3zm3s+sYxqcC1L5QugHHsPB296GUUF1xikiYNh6P66Gs+7gRg21YGHgTTLygDynTQS2Wxf6si6EXfJ7lZvt+QLDQpWA4n8AxYhj7c6RiDo4RzOFMLIGRP5eSmwDwucwlXDcy+Be9D1AfBffmbm8XqZyNnzCKqGfX8Y2Ta7g7reMglsbt+BJceDjst/BaaQuv2mV8z+vhL5vbwVh5c+SsIvbdAbru6Tq+ZOcQg4lns5bc25hpIWZacAxLMs6B0/KcU3cu7y0k0liNF/Bs3kX7hMXtzUZI2wm8kdrAe8NTpjJh2ajFsjh0+6HjOpaNj9xO6N72ZiPsWW1k7aScK2U7iBkWZvDkfvnw0Z4MUMtmUHDSOD5h2ruTId7pP8Hfz72Eh84B2uM+JvMZOtMB1nIbGLszYZ3zTgqv5Dbxp/WPQqzgcqaIg8FZtjHKqnp+0J8gyW4M13fxtFfH014dX1x6CXPfk4IFf3DwHgDgK8tv4PGkjnutZxjNJrjTfIJXy1uY+66wu77vw8XJRv/kXASqw4hPqpAIXvi7Pep/y1afhl1wfN/Hfr95hi0NfIxPLbqkYp1/NmnK9Tw4MfusBn4B2D2vPTfB6rd/+7d96v+4aDMUzsxlLtDan5Q6UsMIkikY1tWLUzweFxBGZowJVzrMCYRLRHJx1Ald/J2hf+1eoFlNfa3RRBDP8yRRitdCf0wmsDBkS0ZYe1Lyeshu6VCpBjnUP2pgolknhnDJphIQElSQOWQlLs0K82/z+Vzq2bfbbdFSXrp0Cfv7+9jY2EA2mxWWV3vKlkolPH36FLPZDGtraxiPxzg+PhbJAO8vz8OwNp0H6CrQ7XZhmiYajQb6/T62traEZWQ1qd3dXQyHQ9E2c0xKpZKwnvRl5RxgwQBWjMrn85hMJsjlcgKiS6USHjx4gEKhgGvXrslGyjRNSeQCAtY5n8/LeSzLwuPHj5HL5aRAAIE1nQb29vbE5qtYLKJarcI0TdRqNaRSKQlN7+7uSjIiWVk6DrDql97U6JC5fpaYXMi5r0Ebf9dMPQEpwT6vi8+YLnKhvYyjbKRmRqOAUb+moxDUnnODQK0yr4daZkpmdP80aNf9kC8q9QxFQ/9aNsTnnM/d+vr6ZwqxWvaqf5HwPxvDyYvCdtGwvWEEpRR1uJyfOy/Ev+j1iyQSPS8hJRriZ78M42zlnIvIASic2hQXAAAgAElEQVRvWPT577fkbLStZEo4HLSRc1JnQsXRkOxqtozjUQ/VVF7uJ+/XouuKygAInBaFsKMyANpuWYYpGlHekyirtpmroj7qYDOzJJsWhv8pB9AtGipO2g4m8xluFtekX7yu6Bi8UrqEvjtGa9KX/jJ8v6gwQjS0X00Hpd9twzojT4i+N/AknYVK4XLsLlK6+EWSztheRA7wIsmR0eMB4RLBvJ5FJWctM3CAiPZhkRzg+5EBABDPYv3eT5VgVSgUsLe3FyqFqdk/zdIQ3PF9BHjAqU2VbdtnzMv5d1YhIgjUbI1emDkQ0aQNAkCdnKUdA/iaNjPXLKkGvJqt5aLNhCmCVS74lEUAELBKIK3HJ6pvJTCJap8I8Lnop1Ip0YxqMDKbzdBqtWS8HcfB6uqqeJhSukFg1Gw28e6772IwGGA0GmFrawuXLl3CaDRCv9/H06dP8eDBAwDAW2+9hY2NDWxvb4tOs9lsYjqdYm1tLeQrWq/X4fs+ms2msNNaXnH16lXJ1qffKv1HOV+Gw6HoUYFAl5tKpVCv1+V+9no9lMtlHB0doVarYTAYhDZOrILV7/elwhYAdLtd7O3toVgsCtup+8BSp+PxGKVSCZZlodvtSnIh2WtuhHgf+TeWdDVNE+l0WmQT1OtSC1ssFpHJZCTpSzPt+kGNZthHWUnNSGr2X/us8vnhZk0b9Ef1pdojmMfXGzy+R2vK+R5dSY7H0xpVLQfQz69+9qPsZ3Qsov3Qm78oe8rz6USvz2J7kfKIDGNeRDLB+64Xbdlwn6NFXfT6RcqaPi8hJQrS2K9F2reL6Fan7uzC2jktWYv29SJjuN9vwjTMC4Gavd4xnFg8dD95vy5yXTxHFKguarTd0slM3DxEw7873SMkbSdUrIBAMApUF7XRbALTMEP9WhROB4A7zSfYytdCwJoAMwpUF7WjQRu1THGhCX+0UcOp7w37eJFEohcFqsDiOXPePPo0QJXHM4xwiWBeT1QG0Bh2UMsUF/bhPN1q9Fz6/4v27yLtuWD14cOHwnoBwaJBQMGFlCFRnV2vraAYljQMIwReycqSnWToMhruj2rhgFN5ARdCsoNkosiOss8Ej3qhTSaTIZkCQ+u0bSI7SY1lv9+XcpsEx7lcDqlUSqyQfD/QwhYKBQETvu8LMNLWPtp/lX1h2JhuAgQc9PkkAOX4MoGr0+lgNBrhyZMnAhR53SwUMBqNsLq6imfPnuELX/hCEIbqdOB5Hu7fv4979+7h4cOH6HQ6kkx2dHQE27aRzWZx8+ZNeJ6HdDqoRELglUqlRN7BMRkOh0in0wLyubmhywDH1nEckZEQMF6+fFnA4mw2w9HREZaXl5HP51Gv15FIJLC3tyflTlutFkwzKJ+7srISuse8H61WS8q+cl6QxU8mk7hz5w62trZkU0Y5SK/XE61yv9+XTHsyqIVCQSQthmHg4OBAGEPep3q9Lp/N5wNfxUW+owRaOorAFt2lEihy3nKeaPsnXXFLs+2aeaXcIprkRXAYZVujBQh0n3U/qHfmWBJs6w0jm04c037HvE7+0x6uWnerN7AapPq+HzrPZ6nR6meRNU+U1Xxeada0nUDbPV2AyYxoNuaTmFU9d6PMn26LWFQ22VidMFlRhsa2YnC9cAlUlpNc1K8oS5aJJzFxZ0jHEmcW7/PY3UUs0fMSyPS5Z958YbnLmRf+LMut6mQqlh1dxCpOI+fmeL9ZuYp3Gw9Df4uWyWRlMc2i8nqiTP3/UPtp/LeD92AYhswv9vE8myjd8ok0upNhyOifTO88smH4yvIb+OP6nRALynMsSrDqRebwVr6Gw2E7VNqVLbqh3cgtwfU9pCxHXAW+svwG/uDgvYXXFb3/i8r+6nPp73AnFod3ktBGkLuoTOt57SJzLdoWJTFGmfCgQtwsNOee16/xLHy8RdEX/TdtN0sAfZGIBPAJ5Va18TyBF9lEAAKMNAjTCxc7pMN2OkTJBYZgVVfbkYuLXKxekPSxNZsJIARaGPLUyU7sr+53aMCN0+paXEij/SEbq/uqz89FnVIDbamVTqeRzWbFLYE6z1arhW63i06nIyb6ZBCZBZ/JZCSkPhwOUa1Wcfv2bWxtbWF5eVk0lGSAWZlrb28P169fx7Nnz6TULBOXXnvtNdy6dQu3b99Gr9fDd7/7XRQKBQmvHxwcCOji+LFcKsH18fExDg4OkEwmxRmBlacajQaePHmCTqcjHrxra2vIZrOoVCpIJpPo9Xp49uyZlGhl2dNeryeOBr7vo16vi/uALh06Ho+lKAFZ5+FwKDpWAmBuwgAIy9rr9SSxa21tTc43Ho8lCYxAnWFtblCKxSKy2aAcHUPhrDxFdwd+hlIN4JQpjIbeueHSspdFTGH0OdAbt8lkgsFgINW4WNwgml2vwaYGv/qf7pveOUcZVP7TMgb+W9R3PmP6eNEELN10RET3Xbfzvjs+S41G+MPpWAzxWdY0ZTtiyM864GTU+Pp6toIbxTWkbEeMx7m4RsOGnEczd36m3GK03CrPpVsqngjKu54YruvPGYiUrD5JyGLJUyAAmjN3DssMg0eWk9T9sq0YNnNVFJMZlJJZuS5dAlX3wTRMpOIJ3Cyuy3X5vn+m3CrbzJ3j1fKWfN62YljNliUxK2k7mLozVNNBqdKsE8iD4lZQAreYyMhrG7klHPZbuJKrhVjH7c4htvI1PO4ciCH+Zq6Kf2/5DbxauoStfO3MeL/beCjvvVXawOvlyygnc9KvuGVjOB1jLV0OATKWD33arUu/NnNV/GeHf4ysnTxTpWkzV8V+vynm+ZZpIeuk8Ep+U+67aZjojAcoJ3Mho//OeIB8Io1CIi3JOPlEGn9w8N6ZEqj7/SZWMqVQGdi4ZSNpO1hLl3G7tClzY7tzKKVdWazAicWxkinhSqomZVErJ1KLl1Jhn9Y/OHgPX1l+QxhxNpYv1vPZ84MN09SdSXlZwwgy3m3zlBc0DAOT+RTFiGyAY8D3cLw3c1VEG++NbtHfdQukF2fdNqJMuOu52MqEnSZ0v/Q1LPqO9X0fCTu+kIlOxuKhz3DT91fCrFJ/qUPW4/E4tDBq429dHYhMIrOsyTiRSdTJJjpZij9rNleHJskU6dCi9pskW0tArRlW/s8Qu7a6IiDltZqmKQk7QAAsyB5HgSv7wmMRXGYyGWGX+TcC8l6vB8/zJGs7GjKlSTzBONk6ajLJaPP/yWQiTGsmk8F0OhVmsN1uo9lsSiIW5QHaIzOTyaDT6cA0TfFh3dnZwfr6OkqlEiaTCer1Or71rW/Btm28/PLLWFpaQqFQkH7n83n5PCtQtVotZLNZlMtl1Go1cUtwHAeFQgHr6+t49uyZOBXcvXtXtJVkCJlA5XmBw0A6nUahUMB8Pke/30cymYTneRgMBphOpyIJ6HQ6ODg4QKlUQqfTQaFQwN27d2WTRVuxUqmE0WgE27axs7MD0zTRbrcxGo2wv7+PWCyG4XCITCYjrDl1lwCknCqfg3a7LXpirXttNBoCXgkqtURFh/01wGP0QbOewGk5Vtd1BYiz+AXZd8oOWDGr3+8Lgx9lUXVpYW7y+Izqxjka1dgy61//09Z3GnRH9a9RmYMGsmyaaV3EAEe/uz6rjeVWLdOUZKqU7aDgpDH15hjPZ3A9F5P5DE4sKCuash30JiO4cLE/aCEbT+LnSq/gf+39GYAguamaLmDuuSGmhS4Dc8/F3HMl29c6ScTxfT+kbx3Pp0jFExjPpkHyyXQMJxbHarqEXRxjOB2jkEgjZlqYuDNM3bmwsbYVQ8y0kEqkpa+WaaKUzKLkZDF2pxLuraTySFg2tvI1NEbdgGm2HVSdPApWEu92twEAc8/FT9dexZNJA3PPlesqJbP4O/mr+HrzIzzqBgzmjcIaXkuu4veO3oN5AtAB4D9Z/SIShon/5fA7uNcJgM5ypoifyF7D7zfvSMJPwUljM7OEqTdHLVPE4ATsZeIJXEpXsWbn0XJH+NOjDzH3XHy59jJux4pYqRXwx4fvAwicB244S/iR1CbuT+tB9SXfxXUrh1+e5vGr9mlo/QvVl/CFWA3vuMc4mnVwPOyiNxvhrcwW/rF9Gb8zDpwTltNFrDhFDL1JiPFdyZSwmVzC3qSJ43EgO9gfNJG0HfzbrSz+vrmF94+DcSyncsjbKfx07VV8p/UAU3eGcjKLH8tdxd3RniTzXMkvo2Rn0J4P4MMXwLqaLaNgp3HDqeJ7w1087hzANmN4o3IFP+Gs4//EB8KMXi2sYCVexI9mL+PJrIX3xn28WryEf2Bv4HfH97HdD4CWBx+VVB6XnSX0MiNJaJt7LmqJAopmUsZq5s1xo7iGqpUKsbBOLI57owM4sbjcb9ppNUbdUOJXPpGGY9lojftyz4EgKU1HhxOxONJ2AtOTjRQ3PtxQfKl6G/eH+zjstwQ0/sOVz+PhtBHK0p+581DJWUYXCok0xu4Mw+lYkp4WRTQW6YsNw8De6CwzvohZNWAgYcflWdb9irZUPIGJOwsB04syqmzPBavUSVJb6Pu+hEi5YHAx4qIJQELZw+FQPEMZutT6N+23qlnWRaidgE7bWAHhkCBwahrOzxPM8VzaAYCAIZq8wv7wdQJHsl46HEoJhOd5KJVKwir6fmBjRTaawFeDXTLK1Ozqa+Xfqfckq8hzErTTvooMIcfDNE3RacZiMWQyGbRaQUk1JhkxASufz0vZ0vX1dUngunXrlpjvs/KU53nodrt4//334Xkebt++LYlgPH82m8WVK1cEABIITSYTcZJgWVUyzMvLy+h0OrAsCwcHBwK69/f3Rc5ABp9heWpFaarPDQND87SyisfjyOfzuHfvHj7/+c8jkUjg0aNHSKfTePDggbC/9Oo9OjqC53l49uwZDMOQ0q5MJqQ2V4feLcsSO6/79+8jm82iWCxiMBig0WggmUyiWCxK8hz12zoyQPDHY2vgpr/sNLDjPNTyFz4nnPda7kILK56Tm73oc6U3jNHzRxlWzapGNeMaiGrArb+k9MaTv0c1rZpRfdEvuc9a602GcE+AIFkuWucACIVaJ/MphqYlsgGWYB3Np3g8b0viDMtuRsPfk3mwUGkG0/d9ePCCMq+R+wxAACqZHs/3sD881cN1JkNhUbWOlCVMKVuYujP0JiN4vofBbBJijrQEgCyqZZi439vDcrIoYfAvVG7ijw/fRzmVCy3IZSeLP2p8gKk7l36bhoH/Y+87Z8bgn+1960xY1jJMfKN7H8PZBO7Jc9SfjbHfb0p4Xkqzei4e9Q/wwWxHPp+KOfjG4QfYOQn7s33v+DG6+REedw6ERY2bMfzRaBs7zhKag1Om7u2jjzCuzELMqmEY+JPOPWynKrBP2OmxO8W36x8L48u2328iZlp42q0HHqQAPD8o4/vBkyW83/wTee/xsIu4GcP7x9t4a+k6/qJ+H73pCA8mRxi5UwkB18cdPGjvnUlG2usdo+eMcDhuI3bSr7gVw3uNR9hYKYZC+A/b++ilRzgaBPMTAEbeFP9j/y8xcWeYc332Aq/QZ4kW9vtNiTI4MRvt2QAGDLk3thnDvdYzlO1s6FyT+RRjd4rJfArbisFzPUzdOZ71j2VOAqeh8rgVznj3fR+u752xeCKzrucRgfs3h3dxOb8cev9fDJ4s1PU+bO/LveWxmqOesKw+zo/MLWoX/V71/cDXeObOz5SS9SLHCPTkizXoLxIBe64bwK/92q/5ZIt0ljzZIdpEaUaIulYynAR7iUQCy8vLYlpPdgeA/E82VGcoRxkZLoQEk5rVIWOmQ/B6YHTIXydPAeFKOjwXbZqoYe12u5jP51IVKZPJSJiYGsZ0Oo1arSbMIWu+M/uekgRqbsnwUiZAfSpLorISVDSJi8yVbdsCgFgggMb2vGZqbRuNBorFooDLer0e8gsdDAbo9Xr43ve+B9d1ce3aNXzwQeAlSF0sWeF2u41kMonl5WVks1n84i/+ItLptIBuAvNsNotUKiWepxxz+p+6rotvfetbuHfvHo6OjtDtdnF4eIj5fI6NjQ3JHm+32xJiv3nzJiqVimTsa000N0WcGxyfXq+HRCIhxQg2NjbQbDaxvLwM27bRbrdxcHCAyWSC4+NjiQqQBc1kMrAsC5ubm/D9oLDBjRs3RCrgeR729/exs7MjfXccB9PpFDs7O6jVarhx44ZUu9LJTmxkJnUYXYNVneTEv5FRJatMeQOfIzKrxWJR2H6y1gTh1NxSmkPwz98XbR61ZIDa7n6/j8lkgvF4LD+T6WVkJZvNhsqsRjP5o57KBNv6+qOMb7Rv3AAC+Ey6ATzv7y+idfs02c2ftn2/pV1fJFN6kabw02gAP20777oWvf4i5T/PM6m/aB+epymOtotoU9kWaafPG4NPqwVmW3QN513Xouz2RdrW89qLzM9F7/3bMOcWtRd57hfdr/OexUXzc1G/PpUbgDaG18lQ/Bv/J3ikPIDMJYEGDd6BU52n1oGS2SEoI+BYFIbUoX8ZHCUj0JWqNAOktXe6D2Rz+FnglI1ldSSyg5ubm6JhpZ1SuVzGm2++iUwmg2KxKEkrrhuUhuWizpA8E0404LAsS5hr/U+HcqMMGRd1AorhcIinT59KeJrhZ4JgWlfx/tGmimHr2WyGer0Oz/Nw48YNsZf6mZ/5Gdi2je3tbbiui4cPH0rS0nweFCfIZrOSjEWrKY47M+TJMmtNIYH56uoqCoUC3nnnHZimKdpYAjAAwk6TFWbGv4RW1M9a+sEx1tW0BoMBnj17JmVXq9Uq7t+/L7rhbDaL6XSKeDwuzwD70Ww2BXhxk0EQRmBJhpXM+NbWlhQvoERF941zVW/C9MMcTRyKsotaKsNNgk5c4maO59TyAz5//JxmMPks6NeiTJmey5oNXqQn1dekn2l+vyxKKtPXq8+rgarWqgOnG8/PaoLV89qLLI5/XUAV+P5Lu75IpvQiPd1fF2gAzr+uRa+/SPnPiwLV8851UaAKnF/CdFFbVNb0vDE4Twt80bboGs67rkXZ7RcFqsD3n/H+t2HOLWov8twvul/nPYuL5udfmQyALAkXA+0rCgQaPbJjBGFac0eAQXZNe3sCp6CQiykXPc2WAeEFSbMrOntYh0jJODHRBTi11tJsLI/vOA7i8TjK5bLoQglQfT9ImhmNRmg0GlIffjwe4+DgAIPBAF//+tfletLpNG7cuBEM7olVVdR3lp6yBBME6/RyNYxTLbAO8dMZgNcGIAQKCHgJ6JgEVa1Wkclk0O12hdXL5XISds/n8+I3qvvy8ssvyxywLAvj8ViSogjQlpYCkX6j0cDly5cBBFWeyDjSKms8HiObzaJaDcTis9lMstP7/T46nQ7W1tZw584d3LlzB67rYnd3F/1+H4lEAqurq6J5JoinewSLVkRD2NoRgZ8FILIKzoOdnR3E43GUSiW02225bwBCYfXxeIxUKoWlpSVsbm7iypUrMAxD3AyYUKYtrfhAEhQSZBO0at2w3rxoiUEUsPKY+mfOJT6j/FlbbXG+EMyNx2PZ/HBzyPfyeWc/NCCMPrdan0rdLOcuQXNUg6qBOo/Ha9GbMS0d0M+6/llr6PX9f16y1g9606Hm07B5ULkpbsVCDgBkUvjduZ6toBzP4smgDss0pXLRaDZ5LiOnv4MNGKHyp2xkV/gZJnnFLRtp2wmVU30eI8cMdx5vEVtKhuc/Wv0x/Iu9b0s5TQD4r2tfwj/Z+5rIHKKMWiGRgWkY6E1H8HwfrucKE/Y871iOqWEYsM0YaukCXN/DXu9Y+s73/Nzym/jqwbvIJ9LwfB8FJw0DRijc+7PLr+EPD/4ydC7eL2bTO7E4LNPErdw6Jt4sVO2IPqE6U90wDPwH1c/hvck+3j/elqz6RX6sHFe6ENwubeJuc2fhvWH4n9e5kinBNmPoz4IxbI/74iywiGWzTAumESQkMexOGUfUqovXzn7YVkzmHD/PfvzT6k/jPz36Y/m9kspj7rkoJ7Ki9+Q5eA26cW5oNwrDMKT6mwbD0eeD0hgmX3n+/8/emwdJct1nYl9mVmVVZd13d3X39Mz03MBgcBEHAYKgVhRlrGSaIW1IWtkMyRZDsry0dYS0uxKpddC71B6xaytkWStblh3aFWXF0jqoNSmJkniDAAgQwAwwmKNnptH3VdV131npP7K/X7/Kzm70ABva2AAfYgLd1Xm+fFnve9/v+32/kYz9g/rAVnThmuZqxbvD/ls6BZTiboKcen4ez69a1UHNbxx4y+hqmuZWsNL262FVlwe1+b03dxMNOBSscqJTWRVOrGSHVKN7MmpkHavV6pg9jqrFBPa0mSooVfWn7HQ1457AVZ08vZP4aDQa85pUtYFkeVmBicBU0zRxNqhUKpKk0+l0JMxJOQDBMDWUBNmJRAKpVAqVSkUqP4119m5ylcpq0Q+UgIthdCZnZbNZ2ZehVmaac2KgLpilNgkSANeInrraYrGISCSCcrksJVLb7TZCoRAqlQrK5TICgQDm5uYEnOu6LhrSaDQqPq4TExOi48zlcshms2L9xHEwMzODU6dOCXM3Go3Ej9U0TRQKBcnWj8ViwvA6joNbt24hk8kgkUhgdXUV5XIZExMT8ow7nc4YOFELCFiWNZb5rlar4pjhtbZaLUnoIvtL+zUCPkpZRqORyFcMwxD/VW4bi8XQbDaRyWQksZBsJq9NZTaZQEZWkc+UCzGVbVXHvvpuqAmAo9FImH+VmVeBOvdVGVDV3opNtYVSwSOw5wygLkxVxwN10aouMLkvgarK/qqglv/Ua1aBrt97723eZLR3UzONIEJGEJGAieYuoLCCIZyIF7Hdq6Pacye9nj2Q5KR6ry3as61OHU/G59B3hri+swLAzeTNhuOo9loYwRGgkgxHYQVCou0kWAjoBqLBkIAUXlfAMBA2LLR2Jzh7NELeSmIqkpVqUpFgCDo0fHf2HjSdvoC1oBGArun4aOE9eKG3uru/CyL/u4nH0cYIv7XydQBuFnVQN/CPgufw27YL/hr9DkqxDP7QmsXPDPdsn54onMejgQIWYm384dq3AACdYR9nkiWcTGXRGPXx1xtXoGs64iELp+KTGIyGAgpZHnYqlkVj0HHBKjSYRgBnrUl8bdtNZArqARi6jp/LPYaaZuOPGu7nGjScjBXweHgKX2y5FlN0O/jPnRygANZCNIW0GcM9iRls9N2kKWcX6H40cAy/0bsu9/XhyYfwgJbAn+ZCsDHCK9u3EQ9FkDZjeKYfwudarh1V3x7ifGYG94YnMUo74p/KJLVSOIPbLVc3mw8m8D9MPYW/7i6iMeyInvbqyfsw+bc0nPt916Nzs1VFrd/G+zLnkNBNXOttotptwjJC+NDE/SjbLQwdG69s3wbgJgWaRgARw0S110IPLtBLhqPIhOJj4ygTiSMbcnXIHN+6piMZsmBouiRShXezz5O2WzKV5YArnQbOpadRDCaw2tqz6bo3M4v7gnk00h3pgxPJCcyE3eIM1HrHQxGEAybyZgKVQROdQQ+FqOtnbmg60mYMDhy8UVlCJhJHeHeB0B8NsdHcwbFYHjEjjKu1JfSxxzgyKfH+zAlUhy3Uui03+gvNfceCe8mGZ9PT0DVtDFTWe22cT8/gamVP+wy4UhJj193i7RYV8JOB6T6fA/5VqbiA9TZd0zA6okThUM3qr/7qrzqNRgO6rovukewJJ2lvSJNMFidAso2ZTAYnT56UqlXqREI2kSF8TrK8SW/4mOF7Tt7esCBZPwLAbrcrIfF2uy0Aj4wOJ0Yei4BRtZsisCOLRO0uk8hM00Sj0cBwOJT677FYTNizTCYjrKo6kaqsFzWqoVBIyqqSHYxEIuL56TiO6CqZac7EGSYNhUIhXLp0CblcDtVqVbxTbdsWRnV6elpspdhnq6uryOVyMAwDjUYDlmWJpROvcTAYYH5+XoAOiwQMh0Osrq6i1+thcnISpmliampKNLiZTAaZTEacCgiIMpkMms0mmk2X3VlcXESr1cK3vvUtLC8vo9FowHFcnas3PE39MPsV2FtIqcCOz1dNcgsGg6KdVWUnwF4o2TTNsYSoCxcuCIhm9aqNjQ1ZoPV6PZEkDAYDsd0KhULSr+wbVbcNYAyYyguqvMiq1ppMJh0q1P+rjCLPQS9fuk/w/fX+rPoeM8LBz1UvVurDuRAi8KdNG/XdjIKQjVc9hdWFLpPwVK2qNyqhMs0ci2rzA6elUuldqVn1skGubdIQhqbDNALC/jmOs48VzFoJdIZ9nE9MY6NXxXJjW7bxY1a9bKmu6XDgjFXMYSNTx4kzE4mjNeihbw8QCYbQ7neFffObXLk/r+Pxwjl8c/OaL7PKRibyfyx9AJ9a+wrCQROmHkC12xRNqJd5MnadDDKROIYje4x59tORsr+5TSmehe2M0Op3pU47mVRvFPBYooCRM0Jz0IUDB7VuS5hMPz9Wslzsn3szsxg4Nsq9Bhr9zti1UZfJzO+L2eM4aWbxjdo86r32bslM97n7MWr0c+W5uK2fzyvv5xOlp/GPV7+MVDgG2xkhF06ga/ex1qzIWDloHOmaJkw2n6nfs/X2C7P1g0ZAEv54Dt4Xf0+Go4gHXfA6GNnYbteEWfV7thw/7Ev1XRqO7EMBIPtNZVhV5tkrp/DeFxd4mVDswMIGfqznZCwzNh79+vv+3ElZLKjtVGrcvktt6nFohdfsd8aO7ce6SynWd6BZPRSsfvrTn3ZoscR65wzzcaJRw9mcRGjloyZqRKNRzM7OipG+ytSoiUc8jhry9TaVWeWkFo1GBbwSJFAjqkoA1JCsF/iQWVKlAgCE7VONzh3HEc0l99ne3h5j8xKJhGgVE4mEyCI4WQN7DBC389oqcXLnvW5tbWEwGKBSqYiekmw3mbCZmRkBcNTcdrtdLC4uYjAYYG5uDqlUSio+EXytr69LIhE9WOt1l85vNBoClAGg2WwKAEkmkwiHwwL0eY2GYSCVSvt4L/gAACAASURBVCGfz0u2/ObmJgqFgmTyM2s/l8uhVqvBNE1cu3YNq6uruHLlCkzTxKuvvorhcIhKpYJ6vT4mPXEctzxrOp1GsVgUlpnPQdVwOo4jLDoXPExy4zHJbKrAh4uMeDyO06dPy+JLTf5iJTCWcGUovFqtCis8PT0tbgnsOy7w1LGpLsyYWMcFnbzQ9ngRjE6nIwso/l2VAqjyCR5blReogJV9pLKyBK8cZ+y30WgkLHWz2RSwyoUb96PumvehWpOxjwlSybyrCVZ8T3ntvA61qb9zm8nJyXcdWCVwOkrCDEGoX1KFN0TnN/F5gaq3qYCToOMoob9IMITucM9WUN3fO8Hxc78w40ElHtXzT8YyWG/tCFg+bH8yRIauy7nY30cpLavKBLxzr/ezh3KnMN9cQ3vQk2MQmPg9L+8zILjyA6HeIhC0JQvohniaEpB6wSKB4VQ8K8UCeO1+YXRvH/qVpz1oTMRDFlr97hjQIaDzCzd7+/Aflp7Gv22+jnK3se/Zeu/rUvYErlaXYI/2atuzn/0Srw5iKv2erV8zdAPpcEzAKe/rIHlAzkocqYqUt/kV/DgIqMbMCBIhC+VOYx9o94JiwL/IyMhxxFVEbX7jwE8q9LbA6ic/+UmHYWeCNDKJDO+zio9aUWpnx+3QeDwuEwilAKZpIp1OiyeoOoGShVSr7Ki2T2S5yOZwYlRDqN4sf28yk6pbVe+d2xEEq5o3hrUJfBlqB1wgy4pLLBtKRwKCVToHqPXZCQRU2yVN08aStOhAQEZQ13Xs7OzI8QOBAEqlErLZLBzHwerqKjY3N7G1tQXTNNHtdhEKhVAul5FIJFAsFqHrOur1OqLRKJaWlqQUaDabFWBAdpuyhmaziVu3brl6tulpYXF7vZ4A/UKhANu2RTpBwEhAUiwWhb3kIoeMJ58hnwGN/Vlk4OrVqyiXy6jValhZWZGFRKPRkGxzakZnZmZEF8txpUpGmFTWarVkEaIyrmq4naF9x3Fw8eJFzM3NIZ/PIxAICJsYDoeljOzLL7+M4XCIkydPSjnctbU1ZLNZlEolYXQ5LmiFRVBGqcyY5mh3IahqONXx7HW9oGyBx/FWpuJ9cbyp7LMKYAkyycbyPVUXj3xuXBi2222RxjSbTdGth0KhMfabjiGqbtdbTlhlddX7VmUCfiEo1TFB07R3JVj9j30N32nfad9p32lvtx0EVg8VdTFEzglN1cAR8PFzTkqcmBjSU6tdtdtttNtt1Ot1meD5T9W0qW4CBHmAm8FeqVQkpK9q4gB/r1ayQuo/gmBVk8emTuxqwg7vU9Uaqtup4UwCBAJXJhgxTNrpuKscygnIUNGLtNPpoF6vC2vIBClNc8uDTk9P4/HHH8fTTz+NVCqF9fV1XLlyBUtL7uo5l8sJ29nr9RCPxyXzfW1tDYPBANVqFceOHcN73/tenDp1CrquY3FxEUtLS1hZWcHm5iY0TROWNJ/PIxwOY2lpCbdu3UK73UYul4NlWbAsCysrK+ImEIvFkMlkMDU1hbm5OUxPT4v8g6HgTqeDarWKnZ0d1Go1YT3JikciEfFkHY1GwmQylK6GkhlqZlKWysDxuFwsUWtMiQWfgaq3pMyF15xMJlEqlcSGTGUfuXirVCpoNBpot9tj70QqlcKxY8eQzWZx6tQp6Y9SqYRCoSBJfep4UBMZ1UUbZSuqo4V3jFGq4n1nuVDk4okLQBV8Uk/qtdBSP/dWp1LPBexpxr1NXQDwXPxZ3cf7PqrHPUyjqr6n6j7vxib+m0pVKDZqIdnUqj7eplbsAXa1pJqO85kZ+YznyFlJ3/3VCj9qJam3at5zAwdrlP2O53fvBzX6sPo17zlZ8einpp7ct82ThQtvuX/QCMDQDal05f2b2iLBEGJmBM9MPCCf0X/zUvbEvv1ZzYmNz4SVqvzuw7svK1Wp29ybmfW9hw8U75XPeD/eawD294Grt9THnhHvy3tdrCSmHpfHo07Uu73a2IffVby4b1vvuabjOVhm2Hd8z6Um3/Jcd9P8xjLfTb/xrGna2Ofc3++9Paipz5ZNvVdew3Q8N3Zv7Ce/+/U+b0M3EAqYR35/3+o7XW1v+a3BTH6yJwDGJnSGwun/yUlJzRLWNA2tVguGYYz5gzJ8Pz09jUQigVgsJiwu4IaegfFkD9rcqGDUGx5VJykCYe6vakWpY1Qb2SdOxCpQVUOjDNcTmNLCSPVjpWyA4XrDMJDL5cZkDwyFT09PS3i43W6jWq3Kw4zH45iZcQfVrVu30Gq18MYbbwiLrYJ6soGtVguxWEz0pul0Gtvb20ilUgL2NzY25PrX1taQyWSws7OD48ePI5PJYGlpCaZpwrIsWRjs7OyIjtZxHJw8eRKtVgvRaBSWZUHTNPm53+9jYWEB7XYb+XxeQFOr1UIulxOASaZ1aWkJtm1LMQPbtnH8+HGk02lsbW3h1VdfRSaTkUUP9zVNUxKudF3H/Pw8SqWSaHhVuzG6BjAhkK3ZbI6FuhOJBKLRKC5evIhMJiMRBFpx6bqOTqeDra0tYR4BIJ/PS/WuyclJ5HI55PN5JBIJGUP0GXYcR4oWcGwTeHN8+mmzNU0TZpdsMMcsJS4EvdSTcyx5ZTXU6arMNo9H1prjX5UEMEqhVqvioosAV3132bxfTmqSJc/NfmI/+4FOvy857/bv1gSraq+Fh3Kn8NL2vHymaRqm4zm0hz0JnWYicViBEMKGiZlQBtfba1htlJG1EkgELfxC+AL+efd1LNQ2MJeaxFQogxkjjpe7e3o2Bw7iIQtB3ZBwIxOOcuEE6v22hKY1TYOpB2HuZm5TEmAaAdepYDf0aRpBWMGQGPczdJgMRaFrmiTVMPTPf8CeTVLOSiCkB7FQdxOAHMdBMZbGuegUvrZ5VcKPhWgKl+Kz+JZzS/Si7v5J3BOfwd8fpPFDrZfQ6LWhazqGto035u7D/6JElMO7CSxFIyp9EAqYyIRj+On4JfxW8wqWG9sIBUxEgyH8RvQhfCNkY9WqoNyuu30VSeAnE5fwW/VXsdasIBQwYQVD+HTsYfyOvSLnqg/aeCR/Bp1RX8LgqXAMc7EJ/PJoCj8fuj6mJb03M4tTobwk98ylJvGYNYslu4FXawuodVsoxbPIBGP4O5lLqDh9/L+7SWaGpqMUz6I7Goiml+/dfzXxKD5fuyrn2ek38X2TD+Jya1kcJLJWAi+fn8QHbtVhOyMs1DZgmWHUB22UYhk0B10Jw7ftHp4sXEDNbuNGbRW9YV/A24X0DDZ7ezpOJqr1PNIPTdPwXOEhPL71bUm8MzQdP5p/CJ/duSzh9VDAxFO58zhpxPG7m98SN4pKr4n/Jv8Ivt7b62/ATSLMBRPoJ4ZYqm8hayUwGU5jvVtFd9gXRw2D2EI3MBzZKLfrKMWzMPUAOnZfMvofyZ9xXR86W7CdkcguArsaUNMIoDPsi8tBQDcQNyPoDPtyr8zET4QstPpuUQ9W9vrG1hsy5i0zjEjA1Wgz8UxtXnmIvSsFUcP1LNvslRJEgiEp4KDubx1Q2jWoB8ZkF5TUeIsKHNTeEqxy8iTrpTKP6qQG7LElTIhhOFjNzNd1t4RrOp3GqVOnEI1GZR8CIZW9Up0IgL3Mbh5TbfxdnaS8Ex0BgXcftXFyV5lVr1aLIVgybNyW7BP7hLID2ieRVWUo9Pz586JxbLVaKJfLovWk3rPb7eLOnTuSWKW6I0xNTUniEUHp6uoqgsHgmK6UbNrNm661SCzmroja7TY2Nzdhmibq9TqKxSJM00SlUkE8Hsfy8jJGoxEikYgAY46Dzc1N9Pt9yX4fjUbC5lLH2e/3USgUUCgUBCiyhKrjOCKRaDQaiEajAiJ7vZ6UeVULLNi2jWw2i0gkgqWlpbHEIboO0NqL8gCCQrLY3kQhAjtuR9lCJpNBMplEIpGQYgpciHHchEIh1Go1YZrT6bSwmGR1WaWL8gpKAPgMGTon2OR1qtpmHo9gLhaLIRqNjmmzOSYJKNWwPu9RlQ+o51OlNOq7o0ZW+Bnfc7obqECXx/aG6v2iF37NG2FRAfpb7avud9C7/W5o1W4Trw0Xx3SNjuOg2muhEEmi0nG/n8MBE6etCUR1E680F0UjGg9G8LPhC/hXvWtoDNzvq7X2DkJ6EEk9jFxwj4nMRRIohJK4Wl2SbGld05EKRVHrt9BX9WwB060e1G3JZGiPbPQct554b+j+PhzZqPfaSEdisEcjuYf2rj2WFQyhs3utzDAOG0F0lYmQiSuTsQwa/Q4avTY2W1Vstqp4unAPrrZWsNHcQc8e4IXqPL4vcxGbow6+uP4qANcp4RcGGfyLYAUhIwgaJ/34xKN4YvVVAcwA8EzuPnyPHcfPbH9DKvXkIwl8LH4Rv9m4jPKu7VLMDONH0pfwC/XX0G71xBEhF0ngo4n78DvN17Hdqcv+U+Esfn14C2vdPZ1iKZLBhWAOf1rdK+OaDsXwMf0YfjNQxk51T8f6ZPI0TmpR/G71FXm22906rga28HiohJVwBbVuC4am42yogBt2DeXBnkVUMZLCA9Y0/qz8mjzb8G553j+uXEZrsNcHuqZjZVDDyBlJadV4MIKn5qv42pkU7n/dLeupQ0Nn2MejqVO43FxEdXd/ezTCSq+Cs5EJvGa7LguhQBBxM4JbjXU5JgBEgiaKkRQW6pvS34Zu4GvZh/HE9kuy6Bk5DkKBIP6qdRu94QC6psGGm4Ge1cPYGvWk2lI8FMExK49ne6u4Xt8Dqw9kTuJ8MIvPbHxLQFVvOMBqp4IZK4flThnNfgeGrgtwG45sua7WoAs7YCJiuAuaWreF260N6JqG09FJDBWwGjPDCBlBlDsNeT80aIgGw2gPemPvUiochWWEsNqqyLa3a+u4jXU8kT+Ptf4OblXXpN+0gIZIwBzT7fppmXlOb2v76NF7wwHSPky6XzN2Abza1O/2o0TBDtWsfupTn3IITJmtTdZQrT7FCY+2RWREAZdZOXfuHI4dO4ZisYh+v4/19XU4joN4PI5QKCQm9pyY1Yxkb1IIMK5L4+depkUNM6rMFIEeASknVhWMevWA3gleZY/UECnvn4k2TDgBXMZtamoKTz75JCzLws2bNyXcHolE8OSTT2JqagrdbhcbGxvY2dlBIBAQay21dG0ikcDGxoYwnLFYDJ1OR0L97XYbW1tbePDBB5HNZnHlyhVUKhVZDASDQTkvr5cMMIGQ4zi4ceMGqtUqLMvCpUuXkM/ncfnyZVSrVamWdezYMaTTaUnEOnPmjIByykJYwSsQCEgVKnqQDgYDrK6uwjAMzMzMYDQaoVarCbAaDAZYXFyEbbsFCW7duoXhcIhyuYzXX39dEsTIMlPjTKcDYK/ELiuSqYlWHE/9fh/JZBKZTAaj0QgPPvig/B6Px6XkruqFWq1WUalUBGyORiMkk0kZs/QaZYJRNpsdk4lwnFJ7q+qqOW5ViYsaLidDyneHYJegXGUXvXIWNXLACAGBuqpzpbaaSVHUlfI61P0pR1BtrIA9HTrZZ7LGrGBFbapadITyIQJzP6nPYY2LEF3X35VuAF5vzLG/e5I3mP3slwXtTYg4n5nB9Z0VhAJBYUuZFHKQz6maQEEW7G4sdPy2PWhy80twOswlwNv8/Dy95/qpqSfxr1e+Ppbx/GThAr6+edX3uryfXcwex9WdJeia9pbJWM9MPICvVq6J5RLghv9fLd/xzcb3Jl3RVcHPUcCbsU3mVD3GvZlZvFZ5c9+2Hyjei69uvTF2D9zvYvY4rpQXDu0D0whiOLJxOlUSiyiew3uuVDi2j2GnL6xff3vHy3cVL+KFnfmxPjyoD85nZvBmc2ss854uCof5+L6Tpt4Dn/9BlZ6AvUU/39ejAD0/j9WDgKqu6SjFMlhr7cg18D79svy9Y07XdASNwC5gf+vMf7/P3laClQpWqYfb3t6WyVrV7gFuIhJDtIFAABcuXMD09DQMw8Da2hpu3boFTdMwMTEBy7KQzWYRCoUQi8XGEqh4TpV9ks7Q9X2hTHUCU0Gnl0El4OSEz0lbPQ6wB2TJIKoAlRM1P1PDywSsZLts2xbt5kMPPYTRaIQrV65gYWEBy8vLiEQi+IEf+AFMTU1he3sbW1tbWFtbEycBagw58dMxoNfrie8qpQmdTgeVSgWGYaDdbuPUqVMwDEMAcTgcljKsrD5F4/5OpyMlVKmPvXHjBtrtNqanp3H//fcjmUxifX0d165dE90nANx3331Ip9NoNpuSjEWWUc16tyxLwDG1ueyzQqEwBmhok8Z+pP73+vXriEQieP7557GxsYHLly+j1WohlUoJM0qJBcEQ92WYmmNLXQQxnF0qlTA7O4tUKoVCoYBUKoVMJiOLBrKXBKcEiKoOmTpXOiq0222R0tAFg9fKcUiwyOOpzK33S0pNBOQY5zhR2UyVVfT+zPeAiYN0EuA9sDEpinZXap+ORqOxhEPur14/32E+W1V/S70xoyhHAatHAar8juA9f6fcqufvd2HCfTelFI+6/39q7aisz93sf9Az8APbfuHXg9rdlMn0Ax53095padeDxsZBtkfvZMwd1Id+57qbfvmbHN/vdBzeTfPL+j+o+Y25g0oEv1OweqgMQA3xMyGD9jhMcCJjdurUKQENN27cwOrqKu7cuYP5+XkBCSoYAdxEIE6GlAuo2lI/XZqa5QzsJWSok7sKQNUsYjWMqmpZea8qG6VeA39WE1yod+XkbJqmJD+dP38ejuNgfn4ea2trWF5exuuvv45IJILv//7vx1NPPYVvfvObuHbtGn7/938fuq4jm81KuJhMVr1el5A9ASaBVzgclsQeJgMxW/369eti80TDfwA4fvw42u02zpw5g+3tbfR6PUQiESwuLmJubg6FQgF37txBuVxGLpfD+9//fmFDl5aWpNJVPp/H8vIyzp49C13Xsb29jVarhWq1ing8jnA4jK2tLdHRUstKIEvLJ4KabrcLXddFq1wulwUY2bYtCVn5fB6RSASzs7OwLAtra2siAdB1XVhNhrR5DpXto66Xi6zV1VXE43HMzc0hk8ngxIkTiEQiyGazY1nwzWZz35hrtVpjjgeqRIYMKuUDtm1L8hVBMseV4+x5+/Jd41hlohPHOMc53SgIGhnNoEaX18pFIBvHD4/HZ6AmTakSCpX9ZMUx1TXCu1jjtXrfG5XFZmN/EcCr2xHseuUMalMjJ97vrXdz4+RMxk9tB7EdfkyddyI+liig3m+LJhHYYy79rKscOGOMlIyJI0zydwNwDqs5TnbxsMbj/k+TH8An1740fg+eayCgfKJwHt/YdLWB9Mv8u6XH8JnV58avw6PJ43X9WOm9+L9Xn923rdpCARPhgIn/LHcR/271BQB7z/YnSk/gt1e/Mba9N1RLBlK9VjYvKM5ZSdR7bVxIz4ilEYGb17bJNIKuf6rC2PI5+1k80fOT7V9OfBd+afvrCOqGgEg+A7+KZUEjgPdkTu0by1/OvhdPl8f7MGgExoCSaQQxgutlq1YG8+sDywyjNxyMgS0+W7+xd5DW8ijRAEYdgL0xdth7oWs6oO29v6o+/KhlW9Vr8FbTUrfZ6tR9n6Pfd4QqBeH+B7GwfmDbK6889PoP2+hXfuVXHH7xc4JSzfUty8Kjjz6KZDKJarWKRqOBZrOJVqslTCwZIzWMZ1kWwuEwjh07hlgshlQqJWAYGHcE8DZO9GryiDrp85+fVk79XWVIuQ+bqr/j78Be6U1+RhBO0/Pjx4/Dtm3Mz89jY2MD6+vrAraeeeYZxONxPPvss5ifn8fCwoKcm5nvtKJKJBLyeSKRkAQths4BN/lMDafn83lomob19XWxEKJ+k2ymbduwLEvYMBr+X7hwAd1uFy+//LJoV9PptLBdZGG3trYE4FHLSZbQtm0p6VqtVjE3NyfZ+47joFarCQDl82NpU5W9b7VaOH78uDDEpmlia8udbEzTRL/fx+3bt3H79m08++yzApBVZlZ9ZgRSBJuRSETGkW3b4vGaTCZx7tw5TE9PIxaLiS5W1b22Wi25B4a9mRCoAkLA1bIykZDyEGpVI5GIgDxVU8pkKdWmCsCYnypBLRdkqk6V+9BJw/sueY/Hil2szKZ6EmuaJu8837loNDr2DvL8qgRBZVX5rqvJhGRUGUXhM1NLLPOcZI3ZR+o77X2//Ra2wLuXWeVkxtA2y1G+J3sKtWF7LLzLyeJsehrXd5YlkzceikCDhmq3KZOin2G417xd09zECVUuwMZz+Xm4AvsjY28FWA+b6Pg3gragEYA9GuFvFS+iOerhm5vX5Dr+yeQH8MsKUOV5/n7paQQA/JPVL0s41W8RQFDDMD3P/SulD+APu7fHSqB+rPQE/o/Vb+CHSo/iD1afl4pf31e4H6931+QZjJwRPj71FH595atj5+Kz5bmS4Sjs0Qgfzz2K/7P2imgggT3Aqnp4AsAHCxdxrbOGhdqG9AELLKiNY4Tn5P/9wAyfP8+VicTx3tRp3OxuYr62NlZGlNflfbalWAab7dpYyP2DE5dES+xtBKGhgImRM8J96eO4Xl/Z1ZG698USsQRmTMabjuXQGw3Gimf4sbBewMqxGtQDGIzcucELGtWFGQsVMKnQWxjD2wfqZ3xvNU3bx1Z6r5XexOq7c1gRBp7Le+2UPhyl+bGwfmwrvxNEi3vIO/62mFUyb2R4AEilo9nZWYRCISwsLOD6dbfEGyeiaDQqjBqwl9TECZb6VBVgqqUevewKmzdxyhsqVbWr6iTmndzUv5GJU5kr9e9kUcnGkXkikxeNRjE1NYVer4cbN25I2dLRaIT77rsPp0+fRiQSwde+9jWsrKyITyivieCpVqtJktDa2hrS6fQYEGHiE438I5EIUqkUEokEstks6vW6OAWQ7aNuln3H0qu9Xg/ZbBbVahUPPvggFhYWsLW1Bcuy0G63hSFnWJdAI5FIYHl5WYAhx0av18PMzIzYbmUyGQAu+7e+vo50Oo1CoYDBYIBOpyMaXGbWAxDGbnp6WqowUebAcUQ9ZiwWw6lTp3D9+nUBWmQvvWCVoXt1DFALzSIExWIRpVIJlmUhlUqNZbszMQmAyCYog1F10AR31A5bliWuESoTz4IaKrvvZU15rer98Bp4Teo49upaydSqAJXAmACUwF0tLas2Xo96Heo76rWe4jWr/3hub6TEG973Sni4rWpBpoLRg35WvxsOAq/vhmaZYcTNCErRDMo9l3F37X+i+LAxiX/ZfhmAm0ATi4ehQ0MhmMAbLTex5Fgij5AexN+NnMYNdPB7q89JqdHj4Ry68b5MUJYZRtgIYjAKjpn4BwwD0aBreUPAyio2oWAQQ9uGjb066+YukCRIIahy4MgEZ5lhGJq+T3/HSjoA5G+RYAiGpmPCSmOj44IiezSCFQzhY4M0fq7/2u5nbtb4f//zcZz91afxg+UvA3DdBAxNxz/44DaO/8Ed9zyajuPJIv7BMIc/m3of/teVrwFwtaHT4SyOWwW8suNuG9QDCBgGnu728M/qa3Kduqbhv0UX/dLj+MyGm3UfNAKImWE8hjj+ff0VuW9DN/Deno6v7oJSwLV9SgYspA0LL9Xdz5r9Lo7F87inr6GhgJes5Sa/mXoAm7sMqK65CTvv19L41sBlUCMBEwHdwMPBAtrZnpyrGEsjFgijbfYkk9zQdcwk8rhgTSEZtET3GAqYiARMlGIZbLTd/q52W5jSLawZYUluava7yO72rQpUWGo0EbSw5rgJZfJ9Dc0X2M2lJrGwy5YORzZS4SiSRkTYPl3TEDLdhMBUOCafW8EQEqaFx6PH8Vd1F7ucTU3B1AOwnRFqg7awsDkriUIoiZ49wGBko9FrI6gHYBqB3UpwXXGliJvuXN61B7BHI/SGfXm2juPIszGNABIhC41+Z0zbeTxZhKHpck/2yEY4YCJpWmgPe9A1Td6lE8kJJAIReVaAm6gXD0Rwvboix0yHYzCNACwjBNsZCTMaCpgwdB2xYBh9e4iqvQcu/RKs7qbpPt+9BNwko+W7XtMxwmjf/OPXDmVWf/Znf9ZJp9PI5XIoFosYDAZ44403UKvVJFmFocJQKCQMajKZFFZOTZoio6SG/zRNG0vE4cSmekuq2dtksNRwL/eRm/IAVp7TO8ECGAMJBB2cfAlUuA2TmzKZDDqdjpjqM/mJVYqGwyHu3LmDGzduSJiWIVc17Oo4joBJYC9ZxjRN5HI5zMzMYG5uDvV6HQsLCzAMA/l8HqlUCrOzs9je3saNGzfExigUCo2BRTLc0WgU6XQaa2trEvI2TRMvvPCCSBDa7TZWVlZgWRY2NjYQDocxOTmJWCwmUpDNzU3E43HEYjHJuLcsC+l0WvqP+k9Ncy2sotGolIUl0KdrgWEYyGQyAkLr9bpk40ejUbz55pswDAOWZclioVqtotlsYnV1FV/+8pfRbrfFgovsPJ8dWUPKJjjGAGBlZQW6ruOxxx7D+fPnxag/nU4LEzkYDMQzGIAkQQGu1dXKygocx0G1WpVEKo71brcrTGq325VFBT8jQOS1ciwSuJJtVd0rVAcO9r8K9lVAyHdGZVvVhEC+M2TOGS2hE4MKhnlsNnWRqb5f6j8uPpiURQaVch+1GICqVVWTKr1g9u20dyuzSvaPIc17M7OIByL4duW2lKMkk8rwHlm0VNitbd7ouZOryr74Vb5RGauBPRRvStsZ7QvP+zGjgH+I8LCwqJfN9QuHUgKgMocxPYS/2rgiFajIqHqZ3l8uPY0hgH+2+mW5jsNKu1ICwD68NzOLD4dP4J+ufw0jx32vyaR6r/VsehonQjl8Y+cGWv0uRs5Iqk/5ha8pAVBZyh9N3Yd/s/MqBqOh2G8BEAkA2a7jySJOhPN4fmceveEA9sgW5tCPJfNW5yIj6sdAclv2l+u5GcR/nX8PPlN5ZSx57bcK34Wf3Pzrsf2n4zmsNivuAnlkHxiqBvZLAGJmBDOxHFbbFXSHmk6HFwAAIABJREFUA/SGfdmPFl98xqV4Fjo0VHpNDOwhBvZQ3hM/VtCbYKRp2q69kyPP1itxUd8F2xnBNALoDQdj4/kw3S+fLQFdKBDcF1b3PhOVmAsHTHQGvUOr2PFvXnbTbx8/CUAhmsJOt3mkpMaD3vO7YVYPBau/9mu/5pRKJfR6Pdy6dQusZqUmGrGp1lRqaI+gkwyZN0GKZSzpuQqMl17kZKuGBYH9bJK3qWDUSzf7hf2BPR0gP+M+BE+ZTAatVgsbGxvCIgKuJ+fEhGtqvLKygoWFhbGwKllChrrJfI1GIzkG+4q+pt/7vd+LWCyGF198EZVKBbFYDKZp4rHHHkM8Hsfly5dFK9rv92GaJsrlMlKplCQlkSUtlUqoVqsIBoOYnJwUiYZarMA0TVy/fh2WZYk3aCQSEfaxVqshlXJNmIfDIdrttnjjEvQ0Gg1hDAkcmdikMnoEjQSeTL5imNhxHGxuboqLAEuskjGen59HOBzGn/zJn0DTNFy+fHmsIhoXBszY1zRNGNNQKATbtnHjxg0Ui0V8+MMfRjgcxokTJ8YYP7LQlCJQr8lx3u12sbCwIH61fH6apok8gj6vlUoFpmliYmICsVhMWFe+R6qfqTouGVpXWU0u2rzuFvybVx+q+gOrbLFqz0YwTrkCF19cfKrXxvdCfd/ZVAcP6oj5vrJilfqc+TxUltUb/lfZ2cO+8Pzartftuw6sEqgeJTmHk9BRdGNZKwF7NELCtARAcWI7aIJSQ39+ZTbfqh1FCsCmTv4Eqkc5F7WqR9HSEvypgJNA1a/Wu/eYP1Z6L3537TnfMpPePvw7pUfwpep1NPodCQETqPo9W+/+vFa/kLsXMN+fO4mrO0tIhCzRoRJ8evWHOSuJnW4ThqbL+bit3zjwSgZiZgSDkY1P557Ez6+7gPWgpJ4nCxfwrcr8WPlOP60qmze551iigO1uHUPb3ndd3j4IBUwMR/YYMOTz83u23rF12PjxbitRJuX9OOw4hm6M9Tev/SjvuN87wPfWe65SPItypzHW335Alc3bh5YZxsAeYjiy3/K9O+jdfFtg9ROf+ISjZvsT2AB7gI8gTE3OAPbAK8Gq4zjiqcoJKJlMSjILvTRpuk8GihOWN0TIY6phVF4Xz8/f1QmWf1MZVO5Dn06ydMlkEt1uF9vb2xI+J4guFAqi41xcXBQgoLKnnOwZ9mf2NYGsqu+bmJjA3NwcZmZmsLCwgIWFBTH0v3DhAu6//34sLCyIjIB9QjaSgCebzUr4eWdnB51OBydPnsTp06fx+c9/fkxreerUKSwvL6PRaCAUCuH8+fMAXEaWYX+CC7KbBGbFYtEN9ykG9nwutm0LYxyNRsdAlKa5vqLBYBCtVkue4c7ODiYnJ2EYBuLxOAaDAba2tmQMBYNBVCoVhEIhLC8vC0i8fv06vvCFL8CyLMm6J5tLiYBlWUgmk9Jftm0jmUxibm4Ojz76KBKJhEgN6JHKZKhwOCxgnk4KzWZTKm9Vq1WMRiO0Wi3Mzs6KrIN2UrFYDJFIRPSr4XAY8Xh8zKqNPqkcm+oY5phRE6rY76qfqhq290Ya1MZzqscDIICW7xg1rapfsPozAPmdz5CMMe3oWM2OIFRdvKrJazy3ClZVCcBB9+IFsKLTUhbD70brqv/Y1/Cd9p32nfad9nbb2yq3aprmWJiRoVSyNLSraTQaaLVaEkaktRH1e2Rj1QmNAFctFUmmyatJU0EqJyN+rgJkv6YCJTXLH9jTxPJ88XgcyWQSxWJRjOu3trYk/BuJRJDL5TA3N4der4fXX38dGxuuj6EaviSQUCtUqV6S/EdgNTs7i2eeeQbHjh3DX/zFX+DatWviPfrDP/zDuPfee/GXf/mXuH79Onq9nthGUf9JBq1UKklp2q2tLSkOkEql8LnPfQ7NZlNcAMjOApDyqLVaDYuLi1KBaWVlBeVyGaZpYjAYoFwuIxgMIplMCqhrNBqo1+sol8sS6qcEwDAMsXli8k2tVpMkLAL6crmMdDqNeNw1G6/Vamg2m3Iu+qjSCJ/FEgBIwtNwOJRyp2S9y+WyjFdmwdfrdezs7ODcuXM4e/assMVMfGI4nKxsuVyWJK1+vy/HoVyBILlUKmEwGKDdbsu2xWIRyWQSlmUhn89Ln6huAJqmif7Xu8DyLqYIXnl+rx5XlRYQvKo6bIJeRgtU1wJVagO4oJZJdBzb/BsZX/VavdfOn4E99lYN86sWYvxHuYGfnvWo7d2sVWWj3tNbTtKvsVyjX3lEb8nSY4kCIsHQWJnLYix94LlcLWpw7PeDzuV9bvKdrJSI5GeleNZ3/4fzp/d97leW1FvO8u2UzXy+8Mi+z76YeWLfZ97ytvzsY6X926qlafl7KhzDU8V75DM+rwdyc/v2T4ajY7/HdjWUxxKFfdt677kYS8PQjbFj8Nl59zeNIEwjOFaGlX36UO7UvnN5++DqyfuQCsfGxlHWSgDY3wccQ5vP7D1bjolTqdK+c3mbZYZh6IaMU7X59UHQCIxdF891lBLB7K+jlED1G3NvVY74oJLGb9UsM7yv9DGv0XtMatP9ygFfyBzb95nf9y2lC0dp3nyEw9qhT4AaUybqkNGhBVC/3xetKjAemme5UZW57XQ6EmJlaJ0aTYY2efGckL0TGZm7gxrDwGQXvUwr/85jZrPuF1+v18POzg7a7TbK5bLcj2VZmJqaEvumcrmMzc3NsfsiqGdol6BB9WJlv7APZmZmcPbsWQDAnTt38NnPflZY6rm5OXzwgx/ESy+9hM9+9rOSTQ1AgG+/35fQai6XQ6FQQLPZxPLyMjqdDpLJJKamprCwsIBXXnlFrovuAe12GydPnkS1WpVEp9u3byMej2N7exsrKytIJpOoVCq4ceMGNE0TPefrr7+OS5cuiTMEw/qZTAZbW1uysHEc18OTQB1wgSidCqLRqGhsh8MhNjY2hHUeDAZIpVJYXl6WZ3Tr1i3EYjFMT0+jXC7jnnvuQS6Xwxe+8AXU63XE43EMh0Osr69jZ2dHmO9EIoF6vY5ut4tTp07hgQcewL333otsNjtW2UotpQtAkr0oS+DYDwaDyOfzqNfr0HUdsVhMmGJ6DJOdBCDJcYwGEPSSwSYbqTo/eC23yMKriWN8Z9SwumEY+woDkPEm+OMx1BLJ3A6AnFfXXW9VOhtUq1VZKPG6VAs4yjTUd1bVonIc85+6kFTBMoH1WwFVvy857qPe57utManC1APY0Q3Uui1YZhjZcNxNUBp0UG7XEQmGEDKCyIRjiAcjaA97WG5sI2ZGcDxWwGavhnKnAXtku+Uouw0ci+Vxu74XEtxu1/fZQxm6gZgZhj0a7bNTMvT9VoK6psPQdAxHNkbOSJKuJmNpVHt7+suAbkjyhzfc+4uT78dXh3vXRQlCSA+OhcFDARMPZ+bwza3rGDkjJMNRRINhbO9acTHMGg9ZiJsR/GT8PvyryguodVuSlLLx2/8lPv0P9krZElw8GzbFMcA0gggYBv518nH8VO2bElY2dAOfSb8P/7y/LCFUArLPxR/G99W/hd6wL8Dnf48+jH+j72k9IwET2Yj7HKnFjIcsTEez+GjoFD5deV6SzErRDBJJC5OBBMJGEDd2VhAzI0iELPxM7BJ+r38Hr5bvIBWOIR6I4GSuiM1+TTSv2UgcISOI6VAWvdEAG80dmIb73v5Y8RE8210ee7YxM4LqsDVWcrZopfBjsXvwqxtfEw3nU+tvYiaaw9WdPVP6Rs91GHhf/BT+aOPb8hwcx8H2p78HD//TV2Rbx3FQimex2NjTIx9PFnEuMolvVm+iPehhYA9dsB+KIhmzsNTcFomCZYZxMTmLnjPAdq+O5cY2DN1Aq9/FpcwJLLb3xvJMNIdk0sKbnS307SG22zWkwjHcmziGb25fdxfnzgimEcRMPIeIbuL1ncU9CeFu4hk14CNnhHjIQioUxWqzIvu7Y0NHSN9b3LGARni3YhcTBYE9UH8slkdj2MFqo4xCNIVzsSl8Y+uaaGkBIG5GEAmYUlyBLRWOoaG4JgCuPv1S8vg+twsAuFpZ3PdZ3krul5jsuiSoje+5el2A+04f1XrrLd0AOEGq2kqCVWpLGdom66nq7LysD7BndwPsJV6ppVVVhgjY7wLgBaB+TZ2AOfERDBuGIZ6clUplzHdSDW1PT09jMBjg5s2bMjGrgJzglEBQBarq9aqggtrXBx98EBsbG3juuefGzvuRj3wEnU4HX/jCF2QSJzNIPWe/30cqlYLjOEgkEigWiwL2dF3HiRMnkEgkcPXqVeRyOdGr0oOz0WhgcnISzWYT6XQatVoNtm1jdnYWgUAAzWZTihGEw2E0m03EYjHYti32TXfu3JGCDsViUVjyfr+ParWKbDaLZDIpC5N2u4319XUUCgUJD/M8W1tbYwuMcDiMYrEoVlmO4yZXnTx5ErFYDOvr6+h0OgJOU6mUSBu63S5qtZok8miaJkA1FovhQx/6kDCZ6rPu9XqyAAP2JCF81pQW8PdAICD6YD5f2kUxoYugjKVkU6mUJMEZhiH2YwAkIYvPGNgLtwMYK0yhRga4wKHcRE2sUhdoDI2rzKUKKNV3hu+vCnoJXHkeVfPK/3uPrZ5PBatqtESNknhBszfKclj7DqO612LBMOKBCNY6OxjsTkKRgAkNmlvJZxfkZcNxWAE3a36t7ZYeBYDOsI+l9jZOxSbRHvTQ7Hdcix44SAYshIygTDD2yEa524CxW0/ccRzYIxt9e4iQERzzvdSgwdB0DJw9C0ANmmQP03fS0HWEjCA22zXYip4ubyUxE87h25VbUibTMsO4lDqOf7H21THt3Xtyp/GIWcRvrH59bx7RdFxMz+K1+qJs2x700Bn0UYymYDsj0VbqmoafjN+H32pclnOZRgB/L/sIJn/i9zBSPDY/UXwffu4flZD56T+QbQOGgV9PvRcfrz+P4e67EjQCuC99HD9ef06Sm9zjBvH/JB7HD3X2QFrMDOOJ1Bl8onsTS9t7Ws5T8Uk8Zk7g35ZflucFAH87fBKfG47bDZ0NT+C0FsO/78yj2ncB6Fx8Aj9sHsevt65gh6V4d/+L6uZYJvicNYFTgRT+vH5NynZORNNIBi18rnYVFSUR6Vg8j0etWfy7jRel1OjIGeFHYxfwe+1rwrTZzgg73Sau/+0JnP3/YqKPTUdiuD96DC93lqUsZ9AI4ESiiPwvf3FsYdK3h8iacdR7bfTtIWzYWGmWUe428L70WVztrGKhtgF7NEK910YmGEMiZLn3awOZUAztUQ9Jw8KNnmvDZmg6rGAIXbs/tsCqDlro2H2kglGsDlzNar3Xxje3r+Px3Fm8Vl9EtdvEYDTE7do6IsEQTiYnsNTYRt8eYGAPEQ4EoUGTd6HV76LV7+JYIg/bGclCL6AbCBlBtAZdGUcjZ4RCJImtTk3GEeCC1KBm4FZjXbbdaruLyyfy53CtuSIgstJp4GRiAgHdwEZzr3Rv3IzId4Harjb2V7ai/ZfaslYCW0plNH4He/WqqnbdKzsdOUdXLR2qWf3FX/xFh9o96s1UayBONip4VHWblUpFJjYCm3g8jnQ6LZMVtaFMkKG27aDMYHViVZlYtoMYFSa9EJh59bWO48h17OzsjCVQeRPJgD3Q7KeJVYEF/1YoFDAzM4PNzU2srKyIUX+v18Pk5CQuXbok1a0IFFSQzj6YnJyE47gerGfOnMG1a9dEapFIJFAoFMTDlc9OlXJomltkgBKBZrOJ6elpZLNZPP/88yJ3ICDLZDJot9uoVqvCWjIpzjAM3H///ZIN3+l0kM1m0Wg0pNxqsVhEKpUSpjGVSqFWqwlQI3PJZKRkMolGoyEuBioDk0qlpBqXbdvY2trCcDjE5z73OSwtLcl9s984VgzDwPd8z/cgk8nggQceEBkLxxZZa45xte+2t7dlTKoLKTWrnmx/rVaT46rHJnAm+0kAz0Q1SiI4lnk+AKhWq2i322g2m/sSG1XttloEQNWC8noIyvk5f1a1s6orAdlmJlzx+fIzsuZ818mUU3ZB/Tl9VgneKVNRNap+oNULPo8CXL1MrKZp78oEKybEHKXKENkOv6oz3mSZQjSFRr+DfCQpCVY8F7PX1aZp2hhzcliClfczMpTq50zU8W77cP40XtqeH/vskmL35G0HGakfJcHq+cIjeHTzhbHPvph5Ah+sfMN3e+8z+FjpCfzO+nO+z8Wbhf1U8R5crr2Jnj2Qzx/IzeHl7Vu+z4sZ5Gx0EvBLwvHeazIcRbPfRc5KyHPk/t5xcG9mFjdqLsjj5w/lTuGl7XnfvvX2QSGaQt8e4tnSSVy47UrR6DLh7YPNZ05j+s8XxM8UgHj9+pUR9bZiLI3tdt03m97bB8xuz0Ti0ge8n6Oci8/kbkr8qtfwVuWI1c/vpnpWJBhCbzhAOGhKH9AL1zuOLmaPY6G5Ka4UgD9QZfNLMvNLHjxoX2B/wuzbSrD6pV/6JYegiUCVEx8zhjl5EhioIctarSaJRJFIRBgt6uAISvP5vGjkGC5Vs5S9GcOqL6OXfVVZTABSyrVer8skDOwlWVF7yBBss9kcC3Xy/+pESSZWlSOoDCrBL9m5fD6PmZkZLC4u4s6dOwLqbdvG448/jnA4jC9+8YvSd/LQbFtAEvshn89jOBzikUceweLiIjY2NiRjnXZW9FplmNqyLCQSiTFNJ/WZrLr15ptvolqtolarSSWtYDCIWs1dOZExnZycxGg0QrvdRqHgapnUTHlW1KJVk1qMwDDcsrvUdHJMAJBsfcCVCjAsH4/HsbCwgGKxiJ2dHbHOWl9fF5D22c9+Fo1GA9euXRPzfzWJzzRN/OAP/iCy2SxSqZS4FdAWS2Ule70eotGoRBUof+Hx6IXLQgCMHqglZJmMpSZVsXAEtdqBQADJpKsXoi5WdaMguAQgSX7st7EQqjLuCaZ5ToI+1ZRf1U1TX61aU6nvNJlygtVarYbhcIhWq7UvYRGAREi4AFXBqup2wXef168ueglavTIAVdLg17yJVdz23QhW/0Mdy2/SPcwKx9v8QOl/iG3f6f53U/XnnTa/BcNBiwi/vr2bEqpesHpYOyjj/KglVO8GkPkd96D78uuDuznXUc8P+PfB3+TY+JtsdwNujwLM2Y6y8Lzb/d9WUYDJycl9bBKw502qskJkZwjigsGgVGLiMTgRqSFEhmNV4KmGcFXpgBqq5/G8SVIs7cmJvV6v+95bIpFAMpnE6uoq+v0+tra2xiZEnoPXr1YMUs/H8D8AkQFQv5lOp7GysoKNjQ3xDGWS2fve9z6srq7ihRdeEBZVZa3JRrOVSiXEYjGcOXMG8/Pz+PznP494PI7RaISZmRkMh0OsrLim3rznqakpGIYhGlTqSPv9PqLRKB588EHMz8/j6tWrEv4uFovi+DAYDMaYXCZGGYaBQqGATqcjBQQIHFllan19XZKzNM11KaD8g8lZACSBbXt7G7FYDJqmoVgsCrCmW0G5XMbc3BwCgQDu3LkjrO/y8rKAo9deew2GYYiLAZndubk52YbPnswg7zuTyQi453XTekxl4plEyP6hxpI6Yi6wVH0oE6Oo1eVYoWwjHo8jGo2KewOT0VR2tlgsotfrCbBVF1Dq+6ACdcMwJHRPUKqWNWaJWBWsqj7AXNARkFOzy/7gu0BASrBKHTpZW/U6uOj1RkrYZ15Qqr7//LufTMALVN/NTfW59E7SB03GRwE60/Ecyt3GWIUbHo/6SW/zY/X8PvOb3AzdQCoclePye9mvepIGDdD2F4Pxa9775xj68MRD+OO1Fw+8fwBSBevh3Cm8sHVDrtMe2fj+yYfwp2svjW1/EED4o8z78ZHKV8Y+63qYUl3T0Rp08dNT78P/tvK1sfv6ldIH8KnVL41tH/AkMhHkPZw/jRe3bo79zdB1jOzxSkkB3cCJ1JSwaGTdvMxaJBhC3x6Ofc5x8KGJ+/Hn66+MnStuRsaA6XdP3IeF7jbuScxIGViOv2gwPAZWZxJ5bLZrY7pjgim/sewFZfGQhVa/61/+01MuNRIM7RYX2APS7AO/8eQ9F/c7rPyv+rsGDTkrsU/z6edlDGDMc/duwOf9uZO4XF7wvfZH8mdkHLN1h33fa2A1vMOaSqQcBcTezQL10AwGdfJTs4GBcf9Sld0xDENsp0KhkPxMxoVsCzO7qdPzGo/zeGqmsvem1XAoE7aonWSmNDuEE10wGBQT+6WlpTFd7UFNPQ6vS71vAALQQ6EQ7rnnHiSTSVy5cgUbGxtjrE+pVMKjjz6Kb3/727h9+7aw0jwmj6t6zEYiERQKBdxzzz149tlncfPmTTGeJ1Bl0pfqeOA4jrClZPtarRai0SgmJyfx4osvip6VrOKbb76JXC4nz7xer0vSk3ocXhMrIBGcNJtNjEYjqa7F8D4TsQhsNjc30Wq1pMBEp9PB1tYW4vE4dnZ2sLm5ieFwiLW1NUQiERw7dgy2bePy5csC/ra2tlCtui96u91GsVgUNpfFE9RtqV1l8QfaVTGEr+s6tre3JfkpEAgIs0gQSYkCmetarSYsZK/XE7ssviMcV3weBINsPJdt2+Jby+fX7/fRaDTQaDSk6EA8Hhfgx4WaV3eq6kP5d76DXjCpRjJU5pVjUi02oGbuk1nlvRCIqlZmakKV93vksEx/P026V8/q/fmw47zbGpOU7JEtWfq6pktyDZMz1IxdJmEB7qQb3K3QwyztoBHAcmMbZxKlsVKMA3uIoBFAuV0fy2LWNO1AD0jWNFdbIZoay/wH3CpSKgDm9/RqoyzZzN7cBO+2amPi1qP5s5Ipz20/MvHwGFDld/FPlJ4QlwFjV9LwqGeCt0c2DN3An669tO8eXpp8cF8m+p+knsBHKl8ZyxrXNA0/MvmoPBNNczV+f2/ivQJU1fv61OqXxhwYNE3Dh1IXxjLZWTThxa2bkvXtVjKLYTqWQyrsauwjwRAG9hD3pMZBaW/YRyhg4mplEZOxjJynM+jhYmZ2bFuOgz9ff0XcGiwzjHjIwntSc/KZpmn4y/XLeNo6IUAVcMdfMhzFLyYfEvcBJu5NRtNjgK7RayMesiRkDrjAPB6ykAhZMrZMI7i7bQTtXcAKuKDL0A2YRhCZSFyutTPoIe1hfNkH6ti6mD0+9pwA4PHCOVS7TaTCMSloALgSFT+nDMdxUPTxvwWAV7Zv78vS9xaH4DvOa+e1PF44N7afaQR9gS/3f2Hrxr7M/Qczc777+AFVqUyl3Jeu6b7fvaoe+u3kGBwqA/jkJz/pcIJRmRQAY7XKOZFyElNZVmo/mTWtugAwi5r/J5BRdXfAHjhkUzWBvBY10YnbMNxKPSpBCbC/tjonf/6uAg2vNY8Klh3HQTgcRjabhWmaWF9fF8DGSk62beP06dMIBAJ44403BDCp5+JxyVwRiDz88MOYmprCV77yFVSrVRkErCy2uLiI0WiEfD4v1kyUPjQajTFz91qthnQ6jWAwiKWlJeTzefEIHQwGGI1GiMfjWFpaQr/fx8WLF6X/l5aWYBgGstmsaDrD4TDq9TqmpqYEwBFw3b59G6lUSuytVAN8x3Gtk5rNpowVTg4Mo9NNgnrHdtvVrzWbTWFOn3vuOczMzODFF1+EYRi4c+cOWq0Wjh8/junpaViWhVKpJGNve3sbJ0+eRK1WE9BE7992uz3G9K2vr0vBA7Km6j8ueBzHwc7OnlaPizLakqkLPr4jagY9QR/Z62g0in6/j52dHTQaDZEhcFHD58dnQJaXFl48B6UH/D8/9wJKvrNsHLfD4VAAOgtPEOzTf5XvCBekZNnVd5znVwt9eDWqR22q/Mcrf+A7rUZDHMd5V/qsfnDiEkKaga/v3IDtjCQ7vRTLoD8aYqNVlQz/eCiClBnFWntHjNOT4ShmrBz6zhAL9U0JwUaCIZxKTOJadVkYraARQN5KuolKw76wUPld43g12cIyw0ia1pi5uqEbOJMq4frOypgeLxOJo9Zrje3PKkXXd1ZEF6drujCKdBMAIFnr3J8Z2x8q3Ie/2LoipucxM4JLqeN4oXxz7Fy6puP3sk/hoztfl895r61BVzLOAZcV/EjmEn5/80WpDgYAiw+dxfFv31SyvQ1EAiYGI3ss213XdHx08jH87tpzY/rFiWgaO90mOsO+MHXxkIVPpR/Dz218SfaPmRH8WP5h/HH9Day1dmTbi9njeCI8jf9r4wW530wkjkuJWSz1KlhqbqM37CNnJXEyWkR50MBOrymg5ERyApesaXxp5w2pCjUZy6AQSqJpd1Htt2QxcSxRwPfFz+I3lYQ20wjiB4sP4Wp/E1cqb46NuR9PPYD/ef3rcq33ZmbxD/WT+Mej+bGxEAqY+EjhAbze28CVXXYwHnKT/AxdR3vQQ6PXRsyMIB9JIhm0sNwuY7tdE0cHQ9NR7jYkqY3lcSuDJlbbFTR6bTHdL1hJVHstWWQFjQB0TYe+O5bo3qBBw3vz5/BC+Sb69sB1tNB1BI0A/ovc/fhqYx7LjW3Z9kcmH8GfV9/AdruGSDCEuBlB3x6iPxqO6UgfTpzAn3mY6aeK9+CrG6+PfZaJxKFpGtqD3liZYmCveh2wl4X/RP4cvlWZF9ba0A08ljsztmBg82Os/VhVglw+KyFmfLL+qV/nu6QCZK/G9W3JAJhhzdC1moWsTjbqBMgwJ1kkavd0XReQpjIzAITt4f5ePRslALwOAmKCZTayfsAeGGXCBxOrVLmBKlF4KxbGywKxD0zTFABEPSqzqTkpz87Ool6vC2sHQDSePDbBq2oBFI/HMTU1hfn5eTQaewOFdlX0eM3n88jlcrh50w31aJqGRqMxBnxN08SZM2eQSqXw0ksvSYnVSCQi5VozmQyWlpYQDAaRy+VQqVSkqlGpVJLQeSAQQKvVQqvVQqlUkrHCxKyVlRWUSiUB6rquo91uY2trCzMzM7AsS4BzLBZDpVJBIpFAuVyW8UFNKAEIRj+DAAAgAElEQVRTOp2WwgG0pSoUClI1q9VqicaVIDmdTotOutFoIJvNwjAMKSFLSyZqqtVqYATGZP1V5pILIJVp5IKAMhAvAFQXfGzq4orn43PIZrNjCw6OGzLtTFbkO6oCYpXlVMuaqmF4lT1l84JAJo7xXVT3U8evGv1Q/+6XFHlQ8zJhatTksH1VvTy/K1TN+ruxfXH9VQlFclIwdHfCDup733UBw0C5XcdwZKPd78q2Ad3A9doKQkYQVjCEvj0QLWF/NBybyAb2ED17gGq3KUxhUA+gPehh5IxPQu1+F7qn7rgVDGGrWx8LyabCUWy3a2Jzxdbsd1AbtPeFPwkW1M/9NI6mEcDGsOECDmhw4OBEvIhvbL6xjw16MDeHvwoOJDMdAJKhqLC6ah/Uui2UnR56w770YTGWxtZqfOy+ArohrLJ3vuliPGycicSxVN9CKGCOhZQbvTZ29PF+tYIhXB1W0R8Nx7a9Ul5AKB+UGvUDe4iR4+B6ew22AqpjwTBe2LqxTwpyp7aOiGGi1m2JlVZ/NMSr5Tv7dI2L9U3cskpjC8WclcD1/jaqg9ZugpMNc5eF76WdsWt9rfImXpyaxaA1vuDoDft4ubOC6zt7NlmNXhvd3fthlKBnD7DVqaHWb6G5C/7o7pAKx9Dud93Sp7DRGnTxUusWHDiI7zLsjuOgPxqgMeiMRQMITh3HGfOLHTkjPF++gXOpaQHR7N/PrD6HxwvnsNzYdvEGHHyufBlnE1PuuNZ0bLaq++QC2+0a1q1xKc10PIeFzha8TQWOXmbUxl4Sowa3dG3L7o3JK+yRjYFzNH2yXyPzPwY6GRHD/qx/95yKlagCcI8aATuUWf34xz/ucIJluJ5gino+glOySWQ7CZJoYk/NGydLugNQS0jJgJoJrerd6GXaarX2sUEABDAEg0EMh0Pk83kpK6pKBthUplRlWVUwq+ovVL9Uw3D9SofDoQBQ9RyO48CyLGSzWSwvL0vBA68GEIAASpWpDQQC+O7v/m4sLi7i6tWrAvgGg4EYta+srMAwDDz88MO4ffs2KpUKMpmMaIhVNq5QKCCdTuOll16Sid1xXNurtbU1Aex8pqVSCUtLS7LAsCxLQsarq24WaDqdlvticlQymZRjrK25ocKJiQkBlLFYDLVaTSQM+XxeTPjb7bY4DLD61ezsLCqVikgVCFwty0K9Xke/30ez2cTm5qYk/5imKVrdeDyOyclJuVY6DGSzWTSbTei6LoUVyJ7zHwsZMFFJ1alyfHq9QlVJB7WoHE+qdEQdi3y3OBYoE6BEptPpYGNjA/V6XcY8GVhWw+L7xsWcymiq4X+vRtQrr+E4ZKSCCWOtVkskDnynGMng9QQCASQSCZHCUDOsMqmqS4EXwHLhq75n6t9VydFR2Vhd19+VzOphf7+bBJK/yQQrv3Y3CT93o+Hza3dzrXdzLr/jHnRfftvezfM6SDfs1/yOezfP9m6ejV8yFTP6vY1Z6mrzcz44qPk9m4Oe1zvt73c6Dt7pmL2bdjfnups+uCuwecRt3xazykmOk7E62amfMfQnB1X0p5y8VUaHEycZKE6MwF6mPdkrTk4MrTOb2qvRI3Cmq8DW1v7VCK9HrcUO7LGmXo2hmlDGZK5AIIBjx46hWq1KOVAV1AJuYlo4HMbNmzf3+VHy3sg4q+CRIP7ee+/Fq6++iu1dfz2VwU6lUmKnNDc3h+XlZezs7CAcDmN7e1uum/vkcjkJy5umKX2ayWSwtrYm10JAbFkWKpUKUqkUms0mMhlXqxSNRsdKkPZ6PWjanv9oOBzG8vIyQqGQ2HHxM8dxMD09PRampauBruuoVCoSrqfPazwex9ramiThETSxgEEikRDNL8dhJBKRZKVutys2WixmwASzcrksQI2LGwCSIEXWUM1QN4w9/2Bqn/ns+Z5YljWWdEVQq7L/3kWTpmljXq2Aq78lU10oFBAMBmUsqdIB1YmAiYpkUMmoeq2ivEBPlbrw3dqn9dt971UmlZ9zPKkgVNVgq/pUNUKinluV4PBzv37ye0e918n7UKU732l77W4ynf3YyaOCGeCda4aPCoaAgxOZjtru5lrv5lz+DJP/ffltezfP66hA9aDj3s2zvZtn45f17wdUAewDqgCODFQB/2dz0PN6p/39TsfB3xRQvdtz3U0f3M17806/Dw6NlVmWhVQqhUwmg6mpKZRKJeTzeRSLRUxMTGBqagr5fB7pdFpqovd6PVSrVezs7KBSqQhzRbaHDKzKonKSI7vK0ptkIdXQuVdnxwmQhuvdblfAiF8jYCKY87I+atKJ+nkymZQSn7du3RIgCexNoLOzs8jlclhfX8ft27fHWDf+7M3WJni3LAv3338/ZmZm8Nprr41VySLQKpVKWF1dhaZpeOyxx1Aul9Fut2FZlmTwE1Druo777rsPg8EA8/PzEvb+/9v7th85rvy879Stq7urLzM99+GQlERJK65kybrtrg2utQESLwzbcRzAL8YGQR7yEOQ5hpAAm31x4r8gL3lxECNAAgdINi9JgMBrJ9jYe7N2N6K4JEVSQ85whnPra/WtqvJQ853+1emaESmtYjmsHzCYmeq6nFv1+c53vt/vVy6X8eqrr2I4HOoyVatVVCoVPPfcc1hcXIRSSrOK3OLd29vD4eEhGo2GDgXGPvI8D/v7+/p+a2trCMMQBwcHaDQaaLVa2N3d1bFCgyDA3t4efvKTn6Df76NUKqHT6eDo6EgzxkdHRxmQTrATRRE6nY4GtWzPVquFjY0N1Ot1zTaSvb9586aWQjB0F8stA/NT3tDtdrXHPVlXLq6k7pSAl9d7nqfTqzJ9KncGCPaoIab8gMw6Q1fxmVEU4fj4GNvb25hMJnj++eextramNcF8h9g/TDoQBIF2XmQ5yIybzlUsu+nIxHdCAk7HSdMDm6GoKLPhWJZh50zHQS7qpE6boFuCVVMXLnW0vFa2pXy36VBnSoSeVqOzCrVrJcfTDijc1uRvOgcxRWXgleecg/LSafJ+0unJOs2wdJaZKTgXy7W5VJuPk7KR80BeClYaHYl4/ldXvziXSva1pWfnnu3aDmxrNtfw9z/evHZmOcxUm/9m+Wtzi793N97JXMPn/dONd+bq/M83vjb3LLYdncRsy4alLLy0uDXnzMO+kX3u2S6uLl7U7cJy5KXTZDvREYn3+bW1XzyzXHQOcm0HgVfG1cWLc2l98551obaE55rrug7PNNYyz8wrl2z3WqmCiufr89k+HFc8zrHZ9AN9H56b9yzWx9wFsi1b14v1Ydl5HzorrgeLc+/DS4tbc88ynaZ4LC9tr9kGQNqGMmUur8tLAcs+Nc810/bKz8zxqZR6rLTOPw87l1nlpCMZlzyGlZOJ9MQHoPWH5XIZk8lEO7NwUiNTRIakUqnobEcMh2WyPZKBIiAl6yedrBg3k2WQZrJHJqMjQ+QopbC2tobhcKjDW/FaPsv3fTSbTezu7mr2TZ7De8vnSQbItm186UtfQhiGuHHjhgaScvJmMP0gCPDcc8/hgw8+QBiGUEppxlMCp/X1ddy+fVvnuef9XNfVsVglyGD5GCeVek7pXESmcDgcYm1tTetZGR2AqVPv37+vmT7KQJjylFv9JycnuHjxos7O1e/3taMOM2Cx/+j8RWaVv8kUm3E8fd/H0tKSTkJAgNtqtfSYZpQDet2TMa1UKtqpiYw/JRKSISSoZB8SeJLdJGhiW8pwUBx/JvMnpRscs8zIRaDKMS/jlUq9uNRK5+lGzfdbyk/ytmnyWFbJ0Jpb8/xf1sk8JutqAgHz+fzf/A6Q5csDt7zmaTQ6F726cBkf9lNd+4XaEjzLQc0poz0ZpHpEx4Nj2fBsB3W3gpNxH10AnuVgvb6AFa+BG90HmXtfcBvYCRa1k1TJ8eA7Lia2o5m5JEng2DbKtpeREiiVOpvQ0UIeq7q+zqjE4+l5yDheZWQrcZRmwLIsLHt1jCoTzS6mAE6hUapm7mspCxXlzqWDXLSrGc1mnMQ69eVoOtHaU0tZWI2dzJY7nXNsy8qwk0op2Mn8mHahdMYv3QZKwT3N8sNjAFBKslvuru2kP5av02cmSQLf9bDoBLgVzSI12JYN5xTIsg/iJEbFLWHVreP6aDtz7hf9NUwXIvzsOO3ziufDt104VhWHpxrJKI5Rdku4aFexLsZB2S3BsWysVxZ0WlBLWWm6U6eSYfZc28GWt4iTWl+HIFsNFrDmLyBKYnw4SdPmftR9hBcXLmC7nxJD0qGtZLs4GfaRINHHW34Ng+kIx1Ha3+F0jKYfoOS4cCxbZ+FSSqFse4jtRLO+49Pwa6PpBApKtxejYjBkWYKZU1+jVEH7tA9utXfxxtIVBLaPvzi6ifFpmcLpGJtBC8/4y/hR+25mHDzjLaFfH2XCUdmWhZpb1rpbvgeObWMaWdl3SRAAZ1mSJPBsF5Zxbt71URzlgnWOI/3eJrP3diNYRHeSjfjx8uIlxEh0tIiym+6gPxus6uN8P6801gEA14/ms2aZdq5m9Vvf+lbC7X3qEzkByKDilmVpfRu3a+lgBcycnKRGldf6vo8LFy7owOOSbZWTsMn28J5hGGYmJf4tAZr8LI9xJTsrwQMZ4KOjI63lY8gjMjrValWzhLw/gTLPkQAEQIYRiuMYb775JpIkwZ07d7QOk+cRLNZqNa3bfPnll3Xoql6vpyMtaKcJx8Hzzz+Pn/3sZ/o4n7W6uoqlpSVcv349FZSfam2VUtjY2MCHH87CVTBwPr3kqZlkG/i+r52+BoMBSqWSTiVarVY1s0VNqzQCW4Z/6vf7GggnSYLNzc1M4H2yjN1uF81mE2EY6ugA4/FYx5ulLIFpTzl2fd/XIJwe/gTrAPS4k445DIlFPTVBuZQEUJNpetozocJkMsF4PNZsJLOAyfeIQJd9RwZYfpHwWLVa1Qk16FRVrVY1885yALPJjsckWNUid8FQSr01jzHCg4wKwDBdXERIUMx6c6eA7DUXCHnvpVwUyudzQSCd0sx3VAIXAmLWiee++eabT6VmlXElqVWjV/MkmmrvWzrJMMQUQdFqsID+eIhwOtaZf2QeejNgOPWHBKa2ZaNyGrPS3FqmJpFjoOyWULJdtEf93IXSx20dUmeZd64ZH9SzXbzdeh7fPbiR8a5ntAQpe9Dvz2lq2TiJNZjN02u+u/EO/sXOn2QWT/96+Wv4hwff0eeaCyuapSz83vpX8QciZSzPyXvWV1a+gO/uf6DPqXg+tqpL+LCTpt6U5zOTF8dB0w/Q8ms4GHbQGw91f+/1jnNj7fJZLAfPydM1MrySzIq2WmliGI1xPOxhEk31WJNAl7YaLKDpVnE46uJg0Nb3ydOx8vnyNwDUSxX0xsOMUxn7ls/2bBee7aDq+XjUb2eyqq3khJNi3flbOtjxXTKfxbHXqtShoNCfDE8Bdk+3d17fms+XIbIeV3qRl3EqTyPM7whzPJ6nfZZjzoxbm9d2Z9l5+uhPlMHqm9/8ZkIGiFtrZKMIIrk1Kh2IZDB1YBbkn05aZIjW1ta0ZpGTsXTCoLSAIICNRUZLekgTAFLrmgdUCXZz9SMCqDQaDViWhd3dXc24MSoC2TIAaLVaODk50YCR92FbSEcq8/MkSbC+vg7btnXaUAI4gkvmvfd9HycnJ3jllVdw8+bNuW1kAmjf93Hp0iXs7e1hOBzqKAM89/XXX8fdu3c1yOTEz8xKOzs7OraobNckmYV2kiwpw0tReiCzQBGsUcNar9d1rFXHSTOgMasYNZaMY3r16lUdpouSBLKdHF/MMkbHHmpFfd/XyQXIOnLMjkYjPW4J9thGwCzUGvtqOBwiCAINHrldz+xXBGrUXvO9oNyF7w3BPQEfs2PJscJ7sd0lO0r2mIk2ZHYqxlylJMDUh7JMlGjIsW+CQtPpkO/8YDDQi1ATrHJRyUWVlPNIfTrfacmO8jn6y+i0jSXgZN9I0CqjaLC8st48HwC+/OUvP3VgNW8iOctMoHqeXV28iFvt3QybxUkwD7yQjSIAywMdZ9njAFXaapDG4ZTnP0mKyJcXL+H6SaqtN7V95rn/aPMa/tXO/9S5zoF5oCrNdGz5vY138Ac7f/JY9fpnG+/g93f/NBPaxwSP55WVQDWvb0xwfrmxir3BiQ7PJJ9lnvura6/hv+29p2P5AjOgmlcuE5hcqC2hPR4gSmI9TgngzLHL+0kAZQJDaebzOQbzwJ55LtnuxXItw5pHcfRYY5flyXv/zGddaW7gw/bDTN8S7D1OulXzmdLyFpSe7WKl0sD9bspSs4xmSCruytiW9bF1+KzsE4HVd999N+GkJCc+AHPexlIDxwmJIAGABiRBEKDRaGgnEplKlek3ObFxUiZDRh2g1KnlmQSrBCNkrcztSGnLy8vo9XqaVWM9pJc42Swzfas8T6ZjTZJsGsgoirRH//b2Nmq1Gvr9vmYKeT+yVmQcL1++jFu3bul2JUhlik7f97G8vIwwDHWAeyZGUErh4sWLuH//vi6DXOVLljTPK15qC8m2EuCQ/WQ5KAGJ41hrL9nmYRhidXUV29vbSJJEb48TzBweHmaYZOoylVJak0u5wGAw0DIGxjZlX1MjSgkKU7tOJpOMUxvBONuPn8ttc8nosy84DghQS6WS7mc6qfE9YHQDsrqTyUSHBKNERXryK6U0K0kgzPfOtm0dcYPHWW8z3Jscb+wLABr88j2R4JCLJAliGUVBglWG+GKfcwHClLr8m20jgbi53U+Jh/ze4KJBgnkJbLm7IvuAx81nXLt27akDq3/VZSissMIK+6R2Flg9V8FOoEp9HrfGGaqGW3oy9JLc8uMWII9vbm6i0Whge3sbh4eHetKhEwgZK+lQA0A7AUm933lm6kN1ZYWzh2TTyuWydgJigHcyU/J6bjEzTJLU20ktK5CN/ygBwDPPPIOLFy/qIPuUV5h6PMuy9Bbviy++iNu3b+vzTZ0fna+Gw6EGnZKdW15exuLiom4/13V1vYIg0LpWYBbOSDq+sc0ka03gVqvV4DiODi/G7WgCF/Yn2UEyvtVqVS9yCFQYioksMYGR3GpmFicGoOe2M9uZANlsS6kvNqUmrCO3r+W2PoEY2X3KT5ihjcc5Zjl2pB6USQ6of5WLF6lRJSjlO0QWmEytfJ7Up3Jcy/9pPCbfUZrJaspxz7Ei3xl+zoUKdzMY65UAlkw+AfB4PMZoNNIaZ6aepb6dP2EYzh2TP7y3TALCZ0jQbUobnjajo5TpQJFndJy43Fid+8x0plgPFtOA7MJZg44pdOSSppTKlEF/x+U4Tpnf6fxfZpriMWZTMsspszfx3Lxy5TmJWMrKXH+WUTf78uKluft9Y+Mrj/UspRR+Y/2NuXNNvSDP/e31t/Qx9leeg5L5LNOBzry3+WzPdjPOMiyP6WTH/pcOcaYj1nnl4rPlOOI5eW0AZMcBLa9epvF+eU5AZhs0/Grmuw4AXljYzK3DecZrpOW1gXTQyivPeWXl/fLKlecgVXZL+JXVl88v+M/RHmfMfdxx0851sIqiSHtWU3fHyY+TB9khbmFLb3d60VerVezv7+ug+ZxsWVC5DSonX+YaZw53DiQ5cXKSNitu6tkk25okiQYmvV4PnU4HnU5HAyrJPPJcbsXTJPPGSZ8B8yXbw/+Xlpawvr6OH/7wh4jjWOsqmT2K1zAz0MLCgtY/3rp1S59TKpUyIOLy5cvag50e9ARHbCvf9/HTn/5Ul4d9xnSoZCS5dc/+kZM9j/f7fc1WMtsSQSS3yLkQoByAf7M/6/V6BtzzPtS6EoCSyeWYKZVKOgKBbafZnGSoMzpK8XOCO/k/+41MKtudIIdMpwR+bC+ywWxbylQkuGNb0fmLjmlk4y3LQqPR0I5kADRw5mJNZnKTDlTcfSDjLp0NOd5YTglaqaNmHSUAlSwrzQR80oGM8gCCTTLKXHRJ50mWn+0vnRelIxS/a+QxKQlgu3LMUF/MuvH+7E+2R55T2dNgLb+GZ4NVjJP0PTwKu1gNFlCyXNSdMk4mfdzvHiDwymnWHcvBOJ5m9J+u5eDvrb6NP3r0fYSTESxl4SDs4GJtGbuDWca2UTTBYjnVQHKbMp2EXWxUFvFoONs6tZQFy1KIkzRYuXT24HamHI9LlYZ2IgKgnakG09HclujF+goe9o/nzt3tH2XGeZpuNHW60s+HwrONNewMshpKS1n4l2vv4J/s/g99LEGCN5au4L2jO5ljru3g3+7+78z1tmXjt1Zfxx/vfi9z/G+vvYH/9PAHmWNKKfzW6uv4Dzt/kTn+O+tv49/vzo5RO3nj5MFs91BZqJ6Csd44nPkvnGqHgdRJjMkTFss11Nwy9sITDMZDuLYDx7JxMVjG4airt395/XA61lvAnu3CtWys1JfRnwz19n7JcVEvVTA8zWBGPfKCH6Bse9gP2zpNqmvZaHhVDKIR9nqzsFSu7eALzQs6Qxrf5TeWrqA9HeDWabB+etXX3DI64wGOwi5KjgdLKTxTW8X+sK2TSigobNWX0R2HiE7jtSqVOvR5toPuOMQkmsK2bLiWk3H+A4AwGuNX117DfxVZpTi+rza28MOD23Nb83GO9vrV1jP46fE9/SxLKdS8snbQAtJkGkqpjK7ctR1UXR/dcZgJtp8g0bIFc3xvVlpz2uNfX34V/3l/Vgculv7s+IbOovWLS8+h5VTxk17q7LTXS98nAv1XGpfQjUK8f/SR7pvXWs9iZ3iEvd6xPvbW0vMYJ1OdstW1HZRsF2uVBdzr7mfa4GJtGVES4257Dx9n54JVMlVyW09OhJyUOCkrlcZDpUTgypUrGI/H2NnZ0XpBglP5DMngUafGLV46a7HTCS4kIJRbzTwuJ1+T8VRKoV6v61BKnDw5QRKAErQwNagsO8+Rk6oECrwfwW6r1cIHH3yQYd2o9+T5BEXc3t3a2sJ7772n62Cyt0opdDpZIbTJhHH7X2r5WE7btjWTLI8RHA6Hw4zWkGApiiLNrLLvKLVgXaj9JIvdaDS0hpPjQKl0e1/+TxBGUM02Z7xQ3p+MJ8+T4E0CJGC2YOBCylwYSbAqASCvlUwlt7bljgP7niBdxj+VY0qpVG9LR0MZzYCAn0BUxkvlO8g+IBBjX+VJeeQY5A+BOMetZIJlnfk/30X5I8NscQuf5WH/sf3Jmst3V+pm+Zlse6lN5Xg132W2pTnmZRQOk2F+mqxse6jZZdwfHcJnVillI3B8dKahzlwTJTHqbgVXKmt4r30X9ilL4zsefmf5dfzRo+9jeBrjUimVhiKy/Yz+0bUdrJUXcLOdhtRDkmaKolc4PbBpKcjMMvqOZacTtOhnz3ZxFHYzQKBWKmOjsqjTrQIzT/yH/eMMyLAtC5dqK/iw/TDzrFop9bSWc4rvevio+yhzPQD8/to7eHfvO5ljjmXjx0d358793dW38Ye7380c+/XV1/Dt/WzqTAD49t6P5o795trrGTBB+497WVBrWzZeWbyUyd2eIEGUxPAsR2fmAtJ+cC0b/clIl9d3PVScEgbRCMNJ2rcl24XveDiZ9NGfzHSKnu1go7KIu919WEohQpr1zLMdjKKJ9ngHThPhOCWMogl8x0M4GaUe5MrGOJ7q5xOAdSdhpm/rpQpWyg3c6e7NMmt5ZayWm/jLozvZceCW4Sgbx+MeotPjNa+MZb+OO909DRad0/S2x8MextFUn+tYNmzLQpTEulxxEuMw7OCF5qZ28AKA7c4j7PSOsFVfxoPuoU4jerWxhffb23rMA6kO9aXyOr69O+sz13ZwtbmFHx/d1XrPJEkQI41AwHYF0nTB+n04jVYxiaboxAM0/SqG0SSjI7WUQmxEm1gLFvAwnC3agJTB/i+P3svEq/2z4xsAgGsLL+L9cAe3x7vYGR5hB0f4heAiEiQarL7SSHcRftK+h+j0O3ul2sSGv4i/PJyNw+VKAxvlRXzv4CZMW600dZSItG99LJQCbHcPMlnezrNzwaqMNUmTulWyaXLrj+zfhQsXsLOzo1kYOYlIMMUJjyAmSRLt9Xx8fJwBaOZkJD/LY4wIIpRSmbSxlUpFx0nldQQyMmEAnccICOXkb8oEyIoStPC5QRDgwoULuH79ugYxBIIEBLJO0+kUlUoFW1tbOig+2UOWgeeurKyg0+noUEz8nHVfWFhAs9nEvXv3NHiizhCA1oGaYF5qOqWm0lwgEMgTUEhWmgyY3Dbmszh+ptOpdk6SGZYsK03PKllVCYgJomXoMzLBUk8qf5tAlcwtt/u5pU0wJVk+2QZcwElpgVzZSn0l9bbc/qcjItnWIAg0+8zPZSzUPM2nlGVI8CfBXh6jKCUpsk94vRwDcixIj3zqsbnlz+8Htj9j8/I9kRpxKQXh+GVZZNtJ0Gwyv1IuIQF7HliVfz9tdv1oWztOcBt0f9DGPtoZkFWyXex0D+FZDtrDvt5SXC438N54Lwv+VOpwMYwnGbA6GA/Rmw4zTNg4muJ41MNwOs6cG53mBScbRDOBn2s7GEeTuf5rD/uoOKXM9XESa7ZRAprJad51k/WaxFFmcvTsNNqBeX3glXGsYpghl+h5LgFCkiSIjPzmlrIwyXGSSZJkLhe6Umruep5rpqyN4ghjI+yWgkrDa9nZ65nznu2DJA09tTc40XnsR9MxxtEUvXGIWqmScYRqD/saeHJsTKMIR+PhXFap1MveQXc00OcOJiNESQwLSvdxlMSahZP1Ohn2NIDU0QRsF7dOdubOvdvem0snHCcxPji+P9eGJ8Oe7jeeG8UxBpMRXHsG7nndXngyl8QgSRJsdx5ho9bCTvcQS5U6tsMDPW4A4LnmOm6d7MAyxqzveNgfZR2z4iQGkvQ9ke8Hj0c4jTyQzIA0GWBZJpm+VB6Xxn4yYxizjt/e/YGWLRCc/vdeFuz++aMb+m8pO/jRwe3MebayMosoWr1Uwf3eYeY7AsBjsanSznWw+sY3vpFIz2oyfpxYOTV5GxkAABIxSURBVNED0CCwVCrh4OBAM2o0uYXHSZhAhzEzl5aWdOaiOI5RqaTaK+n9zGtYHv7IlXJenarVKhzHQbvdnmOSzDKSuSOYkxICOcnKrVXJIHFS3tzc1ICd7Gu1WtXhtggaaFEUYWVlBWtra3j//fczWlfJMiZJmgFqf39fg2S2j8wutby8rNtSLhCSJEGj0cDR0VGm3WgEZGY0A3qz0+GNoaokAOb2MJnUbrerGUSyiqyLbdtaL8s+lQHiJXMo+73b7SKKItTrdQ2gyLyyrwhOeZy/pZaXdSXoYT3YLxxXso8Y5orxYQkkkyTR4bZ4T2aW4nY568AEDXS44hiWYahk+SVLyPoRIJLhln0lgTqv4fji/9KhivcmOOXCk+O01+thNBqh2+1iNBrh8PAQYRjqXQ8CeX43MEKDXCiQHWZ52f4SXMq6mTIGjkHqeTl++D8AfW953dWrV58qxPrzdLDK8z7O8zQ+y876Lv60535ae5KUnHn2JGXNu+9Z1+d57X/aZ51leffN8yz/edhnlerz01peG3xW4zCvDZ7Eu/5JypUXguxJUul+Vva4dfhE6VY7nU4mGDonYM/ztHaO2XRarRYGg4EGQGRtoiia01nSC5ygiOCuXC5roGtqPiWDxW3TPK2q3Eqn5zeBSrvd1qBNbp9KMEqQTE96U7vJ8yXTxuezDPV6Hevr67hx44YGCCwTY5tKJhiAZn7X19c1wJQgmGVUKo0lenBwgFqthna7rdtZAsxWq4VHjx5l2Ebeh0DfNDJzbFvpic3FB7e9GfRfyh8A6G14gn16rSdJgnq9rjWu1Jh6nocwDDVLL9k2bvHLEGaMW0rNNMeNZHYleypBkXQQk6wp20UyqKyLHCfyuGQnzbbk4oLXsG7UcUqT8gYuAMk2S+cvllMy1GwnjiP+zbKxvmwTstMSEMp78v0xHZXkz2Qy0U5QBOFyO5/1YHvK7F0cQ+ZWvmSJpd6d40S+W3IXhOU3nQGlPrawT255AONxgSrw/zYV45PYk6TkzLMnKWvefc+6Pg+kfdpnnWV59/0sgCrw2aX6/LSW1waf1TjMa4MnCQP1JOUygSrwZKl0Pyv7tG177rf54eEhDg4O0Ol00Ov1dIilfr+PXq+HOE4DzY9GI/z4xz/G/fv3deBzejHXajXtYEIHG25Jc9tza2sLlmVhb28vA0DIYMkJS05o0iNZTpo8l/FSR6OR9iqXQEiyTwRgpVJJp9sksJAOLiZwJTBimS9fvozBYKCZUZMJkyBGAudGo4HXXnsNN2/ezKRy5XP5jOXlZUwmE5TLZR1KiGXiNv8LL7yQYX4lsLftWWgoWQ6p+ZXAFoBuQ7a/4zja6Y3XADMnqkajoduvXq/ruJtBEOg2lgCY+lMyz7adRn+IojQzlmTk6c1Pr32GEguCQKeTlT+MUMC+lmlA5biSdTXBHMeW6XBkhnYiy0dgOhgMdHxYKZdgOlTpNFav13U9mNaUDmIyAgCPccxy/Oc5LTLesXxXpEnGlfWR9WU9+WN68NOxr9/vo9/vo91u4/j4GPv7+3j48KFO0Xt8fKzlQHz3uOANggD1el2nya3X62g2m2g2m1hYWMDCwgJarRZarRaWl5fRarVQq9Uy18n24ncKv1+eVjPTbCqVak7/wcYvaY9tbmGaXt98nxfLNe1cwe2/vys802k8nx7hTFGa55WsFx1iO9G2bKwGC3MpUBnVIO96UyJgeqzLZ8hzbcvG1cWLc97KeZ7SrIN5n6+vvXZmucxjec9ihALTk/t3N748d2yrvnxmvaR5tpubUpPPNheGMtUoPzuvDc1zmYJUmplSleMg8MpzXv5npehcqjTm6pFXL7N+LFvF83VZ+ZvP4n2YRjjwynNjN2/M8RlyK519a26vm/VjG8g+y0uTSsuLhsDUv6YxQoJ5n7+x+srcuX9/45fmjpl15/1kpAuzXGbEDEtZ+MrKF+bOzzOOu09q5zKrkrmUTCcAXLp0CSsrK/jwww8zqU0JmMhu0MjAjcdjPdkGQYC1tTU8fPhQs0DyWZItIVDkhC/vLxE7yxwEQUaTKUGi1MnJ5zHMjqmrNa8hAOQWLtnczc1N7O3tZbaQZbnIKpEB471c18Xly5dxcHCg45SSGZMOXwDQ6/Uymk3JHHKLmik6pZZT1lM6rcn+MZkotr8E3ATg/Jv9RsbYtmepSV3X1X97nofhcIhKpYIwDDMLB44rKfUgg8t6cnyxLQiqzRBivJcMJSXrZfahOX74mfxtXifZ3+l0il6vp7NosQ34XJ4nAXeelvascFSSgZT1kQyofB7biO0kdzTMusiFitSmyh/JslJyQXArJSp8vmw7RtHgmOezeJygVWpPpa5YyhlkH5KllWPf/MJ+mlnV9WARJdtFZzzAMEo1povlGsq2hw14OBHMCzNILQQBdvqpN3zV9WFbFi5Wl3Gnl+rKfNeDrSwsKi8jBViqNGBbFjqjgXamSpIEvuPBtZzMti41ggAy6VZtZaFil/AobutjCgqB62eyYHHiTjAfvD83tatSsFVWi2opBc9yMqyWUgpNq6QTJOjjp6lheX2SnKbaVFZmW5flVSqrf1RQKFte5vtFnT7f3AJWSsFFTtB341yl0oDtSZyN4sHjcuFtn6bSHSPL7NHxiLpF1itwfHTEdrFnu/qedMaS95V969kuyk5a1+hUe+lYNnzHR8l2MTi9J73A1ysL6LqhznjE97fmlnEYZp2GPdvBNI50G8zAsJXROysoVJwSjiZp+MZJPEXJ8RC4KXBkHcbRFM+UGngQTTGYpH02OY2GYatsGzJSguOWdB1oDacy50AIIDOObGUh8HyEk7FOHcxymUx2xfNT/Xg8kx+ynpZRLv3d/ZgSC/PbcLFc0+9e6iw3waJfwzO11VwGVEHlZqj6W6u/gO8cXs8c++WVlwAA/2v/ui4rALy0sIX9YTtz7NnGGuIkwR3hCHmWnatZ/frXv55IwON5Ht58801UKhV89NFHmiWihlUCDm5L82+yS67rolar4dKlSzg4OMiwRryWbCIZNyDrfc9J0dSq2ratsyvRuLVrbuXSZIQCMmcmCyq3fVkf3lMpha2tLQwGAzx8OGtwCYYcx9EsF68BTj0oKxVcuHABt2+nYmXJhhGs0umKjlSMTiCBO9tuc3MT9+7d08CF4IUgwPM89HqzLynWme2uX9JToCm3xwlEZKpNlo/PIJhh35Ep5xZyEAQYj8daD8l2D4JAtxkXP2EYwvd9fT+54GAfSQcrAtc8z3neW7Ld8uWXzLxkGAnGqEWlcTy3220NzJrNJmw7DePERRnZUDKo1N2aMVyVUjp+sVwsSdDK94B9QOaTQJjvqZQySEcqKdeQ7wSdHGVcZcmkUg50dHSEfr+Pg4MDDAYDndlKLsK4y0GWs9VqoVqtYnV1VTOm5XIZ9XpdL2LkotT8LRd1su3lb47fvM9feOGFp1Kz+sbSFfzg4JaezBbLNfzGwsv4d3vfxyRO+4hZg+iMRVBU8Xy4lo3uKNTgi44aeTo7Op4QvCiVhgYKp+O5cwkoOV4820WtVEZ3FGbysdMh5izNLK+XjjYfp0O1LRtXGuu409nTzzor5aSlLF2ux9Ea/vLKS3py5jkvNDdw4/iBvl6G9pLXW8rC31l7I+OxzXPzNMJ5+kMCSPO47BO2d5pnPtLjgOeYTlPALOuY2c5NP5hzRDL7hil+CWAZ+oohtMx2NbNE8ZzH0XsSWI+mE32udC4KJ6PM2LOUha3aEg7CTmaBkgfI+H6wXmW3hM1qCx91H82No7z+kosZWWZzcSRNLrwsZcG2rDmJRN44XCzXsFVZwnuHdzLHv7r6Rfzp3v/JHDsL6H5p+cWMUxUwnxHuKytfwJ8/+lnm+pcWt3D9aHvufk0/mEunnKerpX2ipACc3AmWLl26hDAMce/ePc12SaaIEyK1rWSKuBXLiefy5cvY3d3FeDzW6Se5lWrq5bg9KZkcM0MUgUitVtMRBOT2JzDPvkh2M4oiDRIJdqRJ4EDjOb7v4+DgILN1D2SdPSSDaP7e2trCgwcPNCiTmkvJ1FEDytiwUltKhrPRaGTYRwlkaZJxNLeGzPqeNR5Yf54nsyMByMQzlW1Ahznem+BJLkgY4gyABogEbAR1cnEjwZ3UeAIzEGNuf8ty0cxxl7cNznEoM11xPHLrn05XkiGU9eOiTkoR+D9Nerjn9QPbWmpVWQfZvnKRInclJDMsF068lvWU9ZbgVoJ9WYa8BSG/F0zgLp2u+LeMKSs1qWZfyT6TUiD5t5THPG1GoOrajp5MjsIu/nDnuxqgAMgA1TQtZfqeDMZDtIf9DEs4mo7x2+tvzXnyE6gqpWb50pMEvXE4d64JVIFUJ3k46GQYMuaQT5CNUmGCIQA6FaYZ/kYCHVoUR7hxfF+HBWJdf2X15cy7AKQMWHvYn5vM/+baq3P3JVCV10dxhOtH25lyxUmMjVprficnifHHu9/LHOcCY0pP/lMj8DKlAFEczbF8BKG2ZWfaezAeIkpmWvxJNEXTD+bagOBRplWNkxiBV8ZgMspsz7NvSo6Xue9oOtZAlc8vu6W5vs1LZxoncRp5wejbPJA2jiYIJ6NMf42mY5QcD8PpOAP+kiRBFEfY6R1lwGLZLeFg0MkkNpALOdYrnIxw62RHh8ICcCZQ5fNi0Qa03jjMlUMwGoZshyjOjjm2gZks4SjsIjba60pzA8N4kpES8P0w55eK52NvfJLZ7idQldd/d/+DuXcjD6gCaeQBc8yfBVTPs3OZ1WvXriWNRgNXrlwBkG4fK6V0FiFmtAJm2k3pKCLBFBnIbreL3d1dfY0EHzLCAPWJMuIAtxDl1iW1iXQ0kpN+nnFSJaPDHPMsj9TD8uWV2/10knIcB0EQ4OTkJOM8Ih3BTLZOMl5BEGBzcxM3btzQzyDDSyBNpqpUKuntdMnwEbByq7xSqaDf72twJlnEJEkdnMiYsbyc1AmcpLG8EvyT3aSkQzrKkW2V7B0D+xOUElSQtR0MBqjX0yDPBH0LCwtIkgRhmAa45paxdKDi9rfsMyl34BjRWylCdsD2NbfTJTPI/+WiSY4f9mGv19Oyhlqtph2KGFnAdV0EQTCnw5Zb3YxqwLpJpyua7JvMpCjYackqM0KEXHCy3FwISSZbbvEzI1Wn09G/h8MhTk5OEIYhTk5OdLY0yczL9qG2mBrTzc1N1Go1LC8v67BdklXOWxDKXRkp+eGYlql9pSOcdH586623nkpmtbDCCivsr6N9omgAS0tLePvttzEej3H37l0opTKhqxjY3JyspOMSt0Pr9Tr29/e1XlKyM5xMCXDl9iswY/E4CfHeDA3U6/U+FqQCM6aNXvMsrzlJSiaOrCUn/+l0imq1imazifv37+vnEtCaRrBAIMF7r6+vY3t7W9dPgmOTCaU3ued5mVBP1M1y0UDGlQCTbSuZVKnxZP3OMrJiBAVAfsghllmGUWJ96FAn+4fgg21CkMv24hiQ7DLbic/M629Tmyqfy+dJdliyhfIeEhxJyYm8L+tvsqJsG2pu5e6DZDoJVqWu1NS4ntUnZvub4471ln1LsG46Wj0O+5jHOJvA1yyvqQdm2/M9l/c4izXl9ZIJzgOlZIBNhrmwwgorrLD/P+xcsHrt2jXs7+/rNJpJkmpUOemS/ZLxVOWERB1epVLRIa04kUpmid7hMgC6ZPrIKhKklUolNJtNdDoddLupmFqCZalPpLE8ZGnlNrk0k8nhMQLAZrOJdruNBw8eAJjp/eT2s6l/YrvEcYxarYaVlRXcunVL64DJ9Mlyc1J2nDQ2rOd5mWxPbMtyuazTjpKZk+CPbc1y8lmm/leCALMuMr2l3k46Bc88RuDMuvJatg1ZVYIbxmqVjlpk0wniKpVKhkElMJRA8iygY25Fy7LLPjW3mtmObCMJMGUfEfBJ+QbBnJQjmIwqFx8E95QUUMfKGKcyEUeeI5HUcuYx+Xx3JEgHZlpXs70k68z7SGcpao4pd+DCVbaTHPtc6ADpO8JFFscMHa+4mJEMviyPbFfJdvO+BKksn2TOzwL8hRVWWGGF/fWyc2UAhRVWWGGFFVZYYYUV9ldpT298l8IKK6ywwgorrLDCPvdWgNXCCiussMIKK6ywwj63VoDVwgorrLDCCiussMI+t1aA1cIKK6ywwgorrLDCPrdWgNXCCiussMIKK6ywwj63VoDVwgorrLDCCiussMI+t/Z/AXuX1GpMJQR6AAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -107,6 +111,193 @@ "ax[0].set_title('input image')\n", "\n", "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');\n", + "\n", + "ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');\n", + "\n", + "\n", + "ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');\n", + "\n", + "\n", + "ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');\n", + "ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');\n", + "\n", + "ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", + "ax[1].set_title('visualization of HOG features');ax[0].imshow(image, cmap='gray')\n", + "ax[0].set_title('input image')\n", + "\n", + "ax[1].imshow(hog_vis)\n", "ax[1].set_title('visualization of HOG features');" ] }, @@ -141,18 +332,107078 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading LFW metadata: https://ndownloader.figshare.com/files/5976012\n", + "Downloading LFW metadata: https://ndownloader.figshare.com/files/5976009\n", + "Downloading LFW metadata: https://ndownloader.figshare.com/files/5976006\n", + "Downloading LFW data (~200MB): https://ndownloader.figshare.com/files/5976015\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:184: DeprecationWarning: `imread` is deprecated!\n", + "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``imageio.imread`` instead.\n", + " img = imread(file_path)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/datasets/lfw.py:193: DeprecationWarning: `imresize` is deprecated!\n", + "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n", + "Use ``skimage.transform.resize`` instead.\n", + " face = imresize(face, resize)\n" + ] + }, { "data": { "text/plain": [ "(13233, 62, 47)" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -184,10 +107435,8 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, + "execution_count": 5, + "metadata": {}, "outputs": [], "source": [ "from skimage import data, transform\n", @@ -201,18 +107450,24 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.\n", + " warn(\"The default mode, 'constant', will be changed to 'reflect' in \"\n" + ] + }, { "data": { "text/plain": [ "(30000, 62, 47)" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -245,24 +107500,11 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdsAAAFVCAYAAACnwEWcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wB45kixx1m61wAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ - "fig, ax = plt.subplots(6, 10)\n", + "fig, ax = plt.subplots(6, 100)\n", "for i, axi in enumerate(ax.flat):\n", " axi.imshow(negative_patches[500 * i], cmap='gray')\n", " axi.axis('off')" @@ -288,9 +107530,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from itertools import chain\n", @@ -304,9 +107544,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -346,9 +107584,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -379,9 +107615,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -405,9 +107639,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -434,9 +107666,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -470,9 +107700,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -505,9 +107733,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -546,9 +107772,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -577,9 +107801,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -682,9 +107904,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/06.00-Figure-Code.ipynb b/notebooks/06.00-Figure-Code.ipynb index edacd85a9..00ea32328 100644 --- a/notebooks/06.00-Figure-Code.ipynb +++ b/notebooks/06.00-Figure-Code.ipynb @@ -2,10 +2,7 @@ "cells": [ { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "\n", @@ -16,10 +13,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "< [Further Machine Learning Resources](05.15-Learning-More.ipynb) | [Contents](Index.ipynb) |" @@ -34,10 +28,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "Many of the figures used throughout this text are created in-place by code that appears in print.\n", "In a few cases, however, the required code is long enough (or not immediately relevant enough) that we instead put it here for reference." @@ -45,12 +36,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 23, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -61,12 +48,8 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 24, + "metadata": {}, "outputs": [], "source": [ "import os\n", @@ -76,10 +59,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Broadcasting\n", "\n", @@ -88,18 +68,14 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 25, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAFSCAYAAACNC7oQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -298,10 +274,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Aggregation and Grouping\n", "\n", @@ -310,28 +283,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Split-Apply-Combine" ] }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 26, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmAAAAHSCAYAAABLgXczAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -449,22 +415,15 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## What Is Machine Learning?" ] }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 27, + "metadata": {}, "outputs": [], "source": [ "# common plot formatting for below\n", @@ -478,10 +437,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Classification Example Figures\n", "\n", @@ -492,12 +448,8 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 28, + "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets.samples_generator import make_blobs\n", @@ -522,28 +474,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Classification Example Figure 1" ] }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 29, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAGACAYAAABx1WHyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeUAAAF5CAYAAAChlDJaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3Xl8XFd9///XmU2jXbIsy6u8xI7tJI6zOPtKSQKUEqBAW5YUWiAUWrpAebQs5XJDgX6hwK9AS2oIhKVQytKyhgQIIXuCncTZvMb7Kln7Ntu95/fHyEayZiTZ0sxcad7Px4NHrLkzOh8Ntt5zzj2LsdYiIiIipRcqdQEiIiKSpVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiAREpNQFiJQT13X3Am9zHOeXBW7nI8BKx3HeNEEtLUAG8IDnga8DGx3H8SfRxjJgDxB1HCcz5aJFRD1lkTL3CsdxaoGlwL8A/wDcUdqSRMqXesoiJeK67luAtwGPAm8FuoF3OY5z1/D1+4BHgBcDq4H7gD9zHKfTdd3rgW86jrN4xPfbO/z9IsAHAOO67quAFxzHWT9eLY7j9AA/cl33KPCo67qfdhznWdd1Xw78M3AW0APc4TjOR4Zfdv/wf7td1wW4EWgDvgSsByxwN/CXjuN0n/47JFJ+1FMWKa3LgO3AXOCTwB2u65oR1/8U+HNgIdlh5s9N9A0dx/k58HHgO47j1EwUyKe89nHgIHDN8EMDwzU0AC8H3jkc9ADXDv+3YbidRwADfGK43rXAEuAjk21fpNyppyxSWvscx/kSgOu6XwP+g+x93qPD17/hOM6zw9f/CXjKdd03F7imw8AcAMdx7hvx+NOu634buA74v1wvdBxnF7Br+Mt213U/AziFK1VkdlEoi5TWifDFcZzB4WHgmhHXD4z48z4gSrZXXUiLgE4A13UvI3uv+TwgBlQA3833Qtd155HtzV8D1JIdjesqcL0is4aGr0WCbcmIP7cCaeA42WHlqhMXXNcNA80jnntGx7+5rnsJ2VB+cPihbwE/ApY4jlMP3E52iDpfG58Yfvx8x3HqgDeNeL6ITEA9ZZFge5Prul8H9gK3Ad9zHMdzXXcHEB+eiHUP2YldFSNedwy40XXd0CSXN9WRvUf8b2QnkD0zfKkW6HQcJ+G67qXAG4bbA2gHfGAFsGPE83vITv5aBLzvDH9ukbKknrJIsH0DuJPsMHcc+Gs4OVv6XcCXgUNke84HR7zuxBBzh+u6T4zz/X/sum4f2WHyDwKfAf5sxPV3AbcNP+fDwP+cuOA4ziDwMeAh13W7Xde9HHCBi8gG80+BH5z+jyxSvoy1ZzTKJSIFNrwk6puO43y51LWISHGopywiIhIQCmUREZGA0PC1iIhIQKinLCIiEhAKZRERkYAoyjplY8ytwK0A1dXVF69Zs6YYzYqIiATC5s2bj1trmyd6XtHvKW/YsMFu2rSpqG2KiIiUkjFms7V2w0TP0/C1iIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAqIooWyMudUYs8kYs6m9vb0YTYqIiMw4RQlla+1Ga+0Ga+2G5ubmYjQpIiIy42j4WkREJCAUyiIiIgGhUBYREQkIhbKIiEhAKJRFREQCQqEsIiISEAplERGRgFAoi4iIBIRCWUREJCAUyiIiIgGhUBYREQkIhbKIiEhAKJRnuIznk0h7WGtLXYqIiExRpNQFyJkZSGX47f4ujvUnAYiFQ6xbUMfKuTUlrkxERM6UQnkGSqQ97t7WRsrzOdE/TmR8njjYQ8qznNNSW9L6RETkzGj4egbacbyftP+7QD7Bs5Znj/aS8f2S1CUiIlOjUJ6BDnYP4ee5hRwCOgfSRa1HRESmh0J5BjLG5L1mgXEui4hIgCmUZ6Dlc6oI5wleY6CpOlbcgkREZFoolGegs5qqqYpFCJ0SzGFj2LC4gZC6yiIiM5JCeQaKhkPcdPY8Vs2tIRY2hAw0VUW59qwmls2pLnV5IiJyhrQkaoaKRUJctLiBixY3lLoUERGZJuopi4iIBIR6yiLTwFpL11CaobRHQ2WU6pj+aeWS9nz2dg5yrD9JPBJiRVM1c6o0MVHkBP3mEJmirqEUD+zuIJnxMWQ3cWmpqeCq5U1EwxqMOqEvkeYXO9rxrCXjWwywu2OQlXOrdRtGZJh+Y4hMQTLj8aud7QykPDK+Je1bfAvH+pPcv/t4qcsLlAf2dJD0fDLDO99Ysh9gdnUMcKQ3UdriRAJCoSwyBS90DODn2F7Nt9AxkKZnSLurAfQMpelPejmveb5le3t/kSsSCSaFssgUtPUl8fKdmmmgYzBV1HqCajDtjVlXP9JAKlO8YkQCTKEsMgUVkXDea4bs0jWBungEL8+Z3wZorIwWtyCRgNJEL5EpWDm3mgM9Q3h5TghZUBsvckWFdawvwdZjffQmM1THwqyZV8ui+soJX1cdi9BSU8Gx/uSYw1RCxrB2no4bFQH1lEWmZG51jBVzqgiPGJs1ZLc8vXLZnFGPz3Rbj/Xxm90dHOlLMpDyaOtP8dDeTp481D2p11+5rInGyhjhUHYXukjIEDaGS1sbaNSyKBFAPWWRKTHGcPHiBhbVV7KjvZ/BtEdTVYw182qoi8+eIdmhtMfTR3rG9HI937KzfYAVc6qpn2AIOhYJcdPqeXQMpugYSBELh1hUH9eyMZERFMoiU2SMYUFdnAV1s2uoeqQD3UPk6/P71rK3a5D1lfWT+l5NVTGa1DMWyUkfUUVkQhnPH9NLPsECKc8vaj0is1VRQtkYc6sxZpMxZlN7e3sxmhSRaTS3piLv/fFIyNBSU1HkikRmp6KEsrV2o7V2g7V2Q3NzczGaFJFp1Fwdo7Zi7BneBqiIhFjcMPEMbBGZmIavRWRCxhh+b2Uz82vjhAxEQ4awgeaaGDeePY+QmT2zzEVKSRO9RGRSYpEQ1501l6G0R38yQ1UsrNOwRKaZ/kVJXsmMz56OAXoSaWrjEVbMqSYezb+DlZSHymiYSv09ECkIhbLkdKwvwf27O7A2e5JP2MCzR/q4avmcSe3gJCIip0/3lGWMtOdz/+4OMr49uV+xNxzOD+3pJJnJfdqPiIhMjXrKQG8izbNHeznamyQUgmWN1axtqaWiTA8TONA9NM5Vy56OQda0aK9iEZHpVvah3DGY4t6d7Xi+xQJ4sL29j31dg7x0zbxxTwGarQZT3smD6E/lWejXMXsiIgVRnl3BER7f30XmRCAP8y0kMh7PH+srWV2lVBuPEMmzUUTYQIOO2RMRKYiyDuWhtEdvIp3zmm9hb+dgkSsKhsX1lYTzrDs1xrC0sarIFYmIlIeyDmXPt5hxNj3Idyj7bBcOGV60ci4V4RCRkMGQ3UoxGs4+rlN9REQKo6zvKVfHwkRCJu8B9S01s/fUn4k0VsV45XkLONw7RF8iQ3VFJNuDnsL5wL61pDI+0XAosOcMW2s5PpBib9cgnm9ZVB9nUX2ldqwSkaIo61A2xrB+YR2bD/SM6RWHQ4Z1C+pKVFkwhEOGJQ1TH6q21rK1rZ+tx/rI+NnThBbVV7JhcUOgNiPxreXhvZ0c6U2cnOh2oHuIqmgvN5w9b9zZ+H3JDM8e6eVwbwJjoLWhknPn12mTDRE5LWUdygBnNdVgLTx9uJeMtVhrqYlFuLS1UROapsmTh3rYdXxg1Aefg91DdA6m+P01LUQCMhz+wvEBDvcmRo2cZHxLfzLDb/d3cfWKppyv6x5K84sdbaNmrO86PsD+7iFeurqFqtj4wexby872fra395PI+NTEwpw3v45W3bsXKTtlH8oAK+fWsKKpmv5khnDIaD/faZRIe+w83j/mLF4LJDI+ezoHWdVcU5LaTrWtrS/nrQwfONQ7RNrzc95P33Sga8wSMgukMj7PHOnhsqVz8rZpreXBPR0c7U3gDX+LnkSGR/d30Z1Ic/6C+qn8SCIywwSjixIAIWOoi0cVyNOsrT+Z936s59sJNioprkTGz3stZAzJHNfTns/xgVTO11hg/wQ/X/tAimN9yZOBfILnW7Ye62Mord3TRMqJQlkKarzZ7cCY83kLIe35pL38gXtCTUX+D2TWkvP+t29hvB/Rn2AG/97OwbwbtRgMh3qC86FFRApP3UIpqPm1FeTLpUjIsLypumBtt/cn2Xywm+6h7Fr0hsooFy9uoLmmIufzz5tfyyP7usYMYYcNrGiqyrmhSixsqIyGGUjl7tHOrY6NW+N4oW2xY4b9x2OtpXMwzWDaoz4eoS6uOREiM416ylJQ0XCI8xfUjdmMJGSgbniZVSEcH0jy613H6RpKY8kOJXcNpfn1ruMcH0jmfM2ShirWzqslZCBszMn/ttTGuXBRQ87XGGO4cFE94Ry95bAxrF84/j3hRfWVeXdPM0BLbe4PEKfqGUrz4+ePcu+udh7d18nPt7Xxix1tJDT8LTKjqKcsBbempZbqigjPHOmhL5khGgpx1txqzp1fW7D1yk8eGrvMDbIbwjxxqIebzp6X83XrFtSxcm41h3qG8HxLS218wln4SxqqsEvhiUPdpDLZjwCVsTCXLmlkbvX4obqoPk5VLEx/MjOqVxw2sKAuTv0kertpz+eXO9tInXJjumMgxa9fOM5LV8+b8DaCiASDQlmKYklDJUsainMOsz+8AUg+HQMpfGvzTkCrjIZZOff0ZoS3NlaxpKGSgZSHMVAVDU8qCEPGcOOqefz2QBcHe4YwGDCwsql6wl72CXs6B3LOGrdk108fH0jlHbIXkWBRKMusY4b/l+92bKH6jMaYcSeL5ROLhLhqeRMZzyfp+cQj4dMaQWjvT42ZvX2CtZauobRCWWSG0D1lmXWMMePei22prQjktpmRcIjqWOS0h/Qro+G8HzRCxhALyOYsIjIx/WuVWemiRQ05J1BFQibvpK2ZakVTdd4PGZbsfetRj1lLW3+S3R0DHO1LYMv04BWRINLw9SzkW4tvLZFQ+X7mqq+MctPqeWw53MOR3gSQnTi1fkE99VPYPtVaS/tAin0nD6yoZFF9vKQ974bKKGtbath6rP/k5DZDtpd8RWvjqF3I+pMZfr2rfdRGKdFwiOvPmlvwbWVTGZ++ZIaKSOiMhvlFyoH+ZcwiA6kMmw92c7gnG0LVFWEuXNjA4iJNsAqa+niUa1fMnbbv51vLg7s7ONafHHVgRXUszA2r5hEb58CKQlu3oJ75tXG2t/czmMrQWBlj9byaUWuVfWv55c72MbuEZXyPX+1s55XnzS/IBznPt2w+2MXezkFCxuBbS108ypXL5mgttcgpyrcrNcsMpT3u3tbG4Z7EyXW5/UmPh/d2srtjoNTlFZ21lkTaIzXO1pmna2d7P0f7EqN24Mr4lr5khk0Hu6atnTPVXFPB1cubuGl1C5e0No4JvMO9ibw7m/nWsr+rMLuHPbqvk72dg3gW0r7Fs9k147/Y0Z5z61KRcqae8iyxra2PtO+PmXHsWcuTh3pYNqcqkJObCuFA1yBPHu452SNsrIyyYUkjc6rG311rItvb+3POcvZttsec8fzAnHiVS/dQOu+Wnhnf0jmYYsU077A2kMpwsGco585knm95oaOfc1rK+4hUkZGC+xtETsuB7ty/+CDbC+oZ3mpyttvfNcgj+7oYSHn4NhuYHYNpfrWznZ7E1N6DRDp/r84YQ3IS+2uXUjwSyjuzO2QoyNnPxwdS+Q8ksfbk/X4RyVIoy4yWzHj0JdJ4fvYs7Cfy7OSV8S3PHumdUls1FeOHVjwy/aE2nVobqvIu3jZQkH3I820hekKuozBFypmGr2eJpY1VbGvry9lbDofMlGYcB9FgyuOx/Z0nj4a0wPLGSpLj7PU81V7ZufPreGx/7gMrVjZVF2zL0OkSi4S4Ymkjj+zrwlqLz4lZ2nDxkkaqCtBTnl8bz3stEjKcVcADSURmIoXyLLFmXg27OwZIZkbfVw4bw4bFDbPqfnLa87lnxzGGhoeTT5y0tKdzkPEGkKe6/3NrQyU9Q2m2tvVhMFgshuxSqwsWTW5LzFJb0lhFY1WMncf76RlKU1sRYVVzTcFmQYdDhstaG3l0X9eoEYxwyNBSU8HCuvyhLVKOFMqzREUkzEvXtPDUoR72dw/i2+wEp/UL61kwy37x7ekcyDmrOt9Wk5DtEbY2Tm1pmDGG8xfWs7K5hkM9Q/i+Zf4kD40IkpqKSFE3UGltrKK6IsJzR3vpGkxTEQlxdnMNy+ZU6aAMkVMolGeRymiYK5bN4QrmYK2dtb/wDvUk8gZw2GQnd428bMgO3Z43f3pm+VZFw6w6zQMryl1TVWxa14yLzFYK5VlqtgYyMO69W2MM6xfUcqw/RVtfkpDJnlC1bmF9QWYXi4hMp6KEsjHmVuBWgNbW1mI0KbPYijnVHOtL5lxzay2snFvD2hbN6hWRmacov7mstRuttRustRuam5uL0aTMYgvr4zRVxQifMhoQNoYLF9drmc0I1lra+5NsOdzD04d76BrMf860iJSehq9lxgkZw/Ur57KjvZ+d7f0kPZ+GeJRz59fNukltU+H5lvteOE7nYOrkqMK2tn4W1ce5YtmcWTUjX2S2UCjLjBQyhjXzalkzr7bUpZyWjG9JeT7xSKjgofjU4R6ODyRHrV33rOVQzxA72vtn3HsnUg4UyiJFkMr4bD7Yzf7uQQwGY2DV3GrOX1hfkHD2rWV3x0DuPadttsesUBYJHoWySIFlj0xsozeZIbt/RnbN1o72AQZSHlctb5r2NtOef3JTlVwS4+x8JiKlo1AWKbBDPQkGUh6nZuSJoeTeRHrad9SKhkMnzy7OZaYvD7PWcnwgRddQdjOSRfXxgpwFLVJsCmWRAjvYPZT3yEQLHO1LTnsoh0x2X+ldx8ceNxkOGdbOm7mbnwylPe7bdZz+VAbf2pPD/1cum8Oi+qnt2iZSavpoKVJg4252gqFQ51isX1hPc03FyfYN2WVjS+orWdU8c0P5gd0d9CSyZ0P7Njt5LuNbHtrTSV8yU+ryRKZEPWWRAmttrGRv1+CY06UALJaFBerdhUOGF61spmMgxeHeIULGsLi+ckafGNY9lKZ7KJ3zBErfWna093Hx4sai1yUyXRTKMuMFfZ/vlpoK5tXEaOtLjTkpaXVzTUGOTBypqTpGU3WsoG0US08ijTHkPBfaAl2D6WKXJDKtFMoyI6UyPluO9LCnM9sDra2IcP6COlobq0pd2hjGGK5dMZftbf1sb+8nmfGoqYhwbksdS6d4clW5megDTFVsZk9gE1Eoy4yT8Xzu3n6MgfTvZjT3JTM8uq+LoYzH6ubgrb8NGcPallrWtgSvtplkbnWMWDhExh+7pCtsTCD/vxc5HZroJTPO7s4BhtK5lxhtOdxLxh971rLMDtlRhyaiYTNmAts582tnzTC9lC/1lGXG2ds1lPc85RDQ3p/SHtizWGNVjJvPWcCezgHaB1JURkOsbKqZ0RPYRE5QKMvMk3+jqvEuySwSi4RYPa+W1aUuRGSaKZRlWhztTbC1rY/+ZIa6eJS1LbXMq6koSFtLGyvpHkrl7C1bm73vKHKmfGvxfUs4ZAI9q19mJ4WyTNkzR3rYeqz/5HKf/pTHsb4k5y+sK8ihByuaqtnW1p+9rzzi8bAxnLegVucpyxkZTHlsPtjN4d4hrM3O5D5/QR3L5lSXujQpI/rtJVPSl8yw9VjfqPW3cGLSVQ9DBTj4IBoO8ZLV82htrCRkshN9qqJhNixp4JyWumlvT2a/ZMbj7u3HONgzhJ89L4SBlMfj+7vZ2d5f6vKkjKinLFOytzP38YAn7O8aZHUBesvxaJgrlzVpqFGmxY72flLe2Fn7nrU8dbiHFU3V426XKjJd1FOWKUl5ft7JVb6F9HiJPQ1CxhAJhxTIMiX7u4fG/XDZOZgqXjFS1hTKMiXzauJE8vQgIiGjSVcyI0z0kU6f+aRYFMoyJYvq41REQmN+qRmgOhampUAzsEWm09LGKsJ5gtcYmFOlD5dSHAplmZKQMdxw9jyaqmOEDURD2aMI59VU8OJVzRpWlhlh1dwaKiLhMR8uw8Zw0aKGk2c2ixSaJnrJlFVFw9x49jz6kxkGUhlqKiJUx/RXS2aOWCQ7o3/L4R72dQ3hWUtDPML5C+tZVKCjNUVy0W9OmTY1FRFqKvRXSmameDTMZUvncNnS4B8HKrOXhq9FRE6hQJZSUSiLiIgEhMYapSistbT3p9jbNYhvLYvqK1lUH9cEGhGRERTKUnC+tTy4u4Nj/Ukywzs0HOgeojoW5oaz5xHTXtUiIoCGr6UIdrT3c3REIANkfEtfMsPmA10lrExEJFgUylJw29v68XLsYejb7PaGGX/snsMiIuVIoSwFl8zkPynKYEhlCrs/tojITKFQloIbbyMRY6Aior+GIiIwzkQv13WXAJ8CFgF3AZ9yHCc9fO3/HMd5VXFKlJnu3Pl1PH6ga8wQdtjAyrk6Ek9E5ITxuihfAe4D3g0sAH7jum7T8LWlBa5LZpGljZWsnltNyGT3Es7+FxbUVbJ+YX2pyxMRCYzxlkQ1O45z+/Cf3+267puA+13XvRnyHqErMoYxhvWLGljVXMuh3iF83zK/Lk59PFrq0kREAmW8nnLUdd34iS8cx/km8DfA3WR7zpNmjLnVGLPJGLOpvb39zCqVGa8qFmbV3BpWz6tVIIuI5DBeKH8ZuGzkA47j/BJ4HfDs6TRird1ord1grd3Q3Nx8+lWKiIiUAWNtcUeiN2zYYDdt2lTUNkVERErJGLPZWrthoudpLYqIiEhAKJRFREQCQqEsIiISEBOeEuW6bgvwcWCh4zgvc133HOAKx3HuKHh1IiIiZWQyPeU7yS6DWjj89Q7gbwtVkIiISLmaTCjPdRznfwAfwHGcDJD/hAERERE5I5MJ5YHh7TUtgOu6lwM9Ba1KRESkDE14Txl4D/Aj4CzXdR8CmoHXFrQqERGRMjRuKLuuGwLiwHXAasAA20+cFiUiIiLTZ8IdvVzXfcRxnCumq0Ht6CUiIuVmOnf0usd13de4rqtDb0VERAposveUq4GM67oJskPY1nGcuoJWJiIiUmYmDGXHcWqLUYiIiEi5m8yOXtfmetxxnPunvxwREZHyNZnh6/eN+HMcuBTYDPxeQSoSEREpU5MZvn7FyK9d110CfLJgFYmIiJSpMzkl6iBw3nQXIiIiUu4mc0/58wxvsUk2xC8AthSyKBERkXI0mXvKI3f6yADfdhznoQLVIyIiUrYmE8oNjuP828gHXNf9m1MfExERkamZzD3lN+d47C3TXIeIiEjZy9tTdl339cAbgOWu6/5oxKVaoKPQhYmIiJSb8YavHwaOAHOBT494vA94upBFiYiIlKMJT4mabjolSkREys1kT4mazJKoy4HPA2uBGBAGBnQghYiIyPSazESvLwCvB3YClcDbyIa0iIiITKNJ7ejlOM4uIOw4juc4zleBFxW2LBERkfIzmXXKg67rxoCnXNf9JNnJX9WFLUtERKaLtZbjzz9Gz57nidU0sODSG4lW6VTeIJpMKN9Ctkf9V8DfAUuA1xSyKBERmR6JrjYe/tifMdR5FD+dIhSJ8vSdt3HhX3yCRZe/rNTlySkmNfvadd1KoNVxnO1TbVCzr0XkTFnfIz3YT6SymlB4Mn0K+c2HXkfv3q1Y3xv1eDgW59qPfY/aRWeVqLLyMtnZ1xPeU3Zd9xXAU8DPh7++4JTNRERECsrPpHn+O5/lrrdfzt3vuoa73nYpz3zt43ipRKlLC7TeAzvoP7hrTCBD9j3dfdfXS1CVjGcyE70+AlwKdAM4jvMUsKxwJYmIjLbp3/6W3Xd9ncxQPzaTxksOse/e/+GRT7yNYu+1MJP0H9mLCYdzXrO+R+/+KQ9+yjSbTChnHMfpKXglIiI59OzbRtszD+Of0iv200l69m2lY+tvS1RZ8FXOmY/183xoMSGqWpYUtyCZ0GRuyjzruu4bgLDruquAvya7BeekGWNuBW4FaG1tPe0iRaR8tW15AOulc17zEkMc3fwr5p5zaZGrmhkazlpHvGEuA8cOAKPDORyNseIlt5SmMMlrMj3ldwPnAkngW0AP8Len04i1dqO1doO1dkNzc/PpVykiZcuEwuT9VWXAhDThKx9jDJf+/ReJ1dYTrqjMPhaOEIpWcPYf/iWNK88vcYVyqvFOifqG4zi3AG93HOeDwAeLV5aISNb8i17Etu9+Djt2rhLhWJyFl91U/KJmkNpFK7jh337FoUd+RueOJ4k3NLPk2ldRs2BZqUuTHPIuiXJd93ngZcCPgOsBM/K64zidZ9KglkSJyOl6auOHOPTwT0fNtg7H4jSvu4pL3vN5jDHjvFqk9KbjQIrbyS6DWgFsZnQo2+HHRUQKbv3bbqN+2Vp2/fgOhjqPUVE/hxUv/VPOevmfKZBlVplw8xDXdb/oOM47p6tB9ZRFRKTcTLanrPOURURECmzadvQSERGR4lAoi4iIBIQW+InItLHWcuSxu3nhrq+R6GqnftlaVt38NhpXri91aSIzgkJZRKaFtZan/vODHH7s53jJIQCGOg7T/vSDnP9WlyXX3FziCkWCT8PXIjItOrdvHhXIAFiLl0rw9B0OmcRA6YoTmSEUyiKzQCYxSN+hF0j2dpWshv33/QAvmecoxVCYY0/+prgFicxAGr4WmcG8dIrnvvkv7P/N/xIKhfG9NE1rL+HCd3yceOO8otaSHujl1EMPTvJ99ZRFJkE9ZZGASvX3cPSJX9O25cFR20uOtPnz72X/b36An0qQSQzgp1Mcf/ZRHnBen/c1hdJ8/lUnDz04lcVnzqoLi1bLUMdRdt/9TXb9+A66dz9btHZFpko9ZZGAsday9TufZfddXycUiQ5+5xOXAAAWYElEQVQ/5rPuTz9A6/WvOfm8/iN7aNvyAH46Ofr1vkeqv5tDj/6c1mtfVbS6l1x9M9u//wW8VBKsf/LxULSCpjWXULt4ZVHq2Prdz/HCT+4ADNb3CIUjNK5az6V//0UieT40iASFQlkkYF746VfYc/c38dPJUYH7zJ3/TLKvm+PPPUr/4d2EwhHIsyOflxjk2OZ7ixrKkcpqrnH/m02few99h3YSCsfwM0kWbHgx69/+0aLUcPjxe9j9szvx06mTj3lehs4dT/LMnR/jwnf8c1HqEDlTCmWRALG+x84fbhw9g3mYl0qw9b8/nTeITxWOV093eROqblnCdR/7LgPHDpDsOU71/KVU1M0pWvv53js/neLQwz9h3ZvfT6QE74vIZCmURQIk2dOBN6KXN8ZkA7misqi95FNVtyyhumVJ0dsdbDuQ95oJh0l0tlGzcHkRKxI5PZroJRIgkXg11vem9D3CFZU0r7uKpnMunaaqZo7xZpxbL0NFfVMRqxE5feopiwRIpLKa5vOuoO3pB8H3J37BsFh9E9bzqKibw4qXvZmlL3pNWZ4zfNbL/5xn7vzomCFsE4nScsF1RKvrsNbSsfW3HHrkZ1gvzfyLb6DlwmsxoXCJqhb5HYWySMCsf6vL/R96HZmh/pPLmkLRCvxMKufwdSRezbpb3s+iK19e7FIDZ8m1r6Jj6285/Ohd2dsA1iccr6KqaQHr334bfibN45/+Szq2bRre6MRy6NGfU92ylKs//A0ilbrfLKWl85RFAig90Mu++77PkcfuJhSNseTaV7Pnl9+id992bCZ98nkmFCY+p4UXf+YuQpFYCSsOlu7dz3HokZ+SSQ4x7/yrmX/R9ZhQmJ0/+jLbf/Dv+Kes4Q5FYiy++hVccKtmZ0thTPY8ZYWyyAyRHuzjydvfT9uWBwhFYviZNA1nrWPDuz9d9N27Zqp7/vI6El1tOa+FohW87MuPE47qw41Mv8mGsoavRWaIaFUtl77nCyR6jjPYdpDKOS1UNi0odVkzyvh7g1syQ/2Eo8VbwiVyKoWyyDQabD9E74EdVNTPpWHFeQWZbBWvn0u8fu60f99yUNW8kIGj+3JeC4WjRKvrilyRyGgKZZFpkB7sZ/Pn38Px5x8nFIlifZ+K+jlc8nefp37pmlKXN6Ol+rs5+OCPGTi2n9rFK1l0xcuJVtWc0fda9cp38MxXP4qXGj07OxSLs+wlb8zukiZSQrqnLDINHv7nt9C548nsDOkRIlW13PDZu4nVNpaospmtbcsD/Pazf4PF4qcShCsqMSbEZf+wkabVF2Wf8/RDbP3OZ+ndt41wLM7iq1/Bmtf9dc733FrL8//1Kfb84ltgyM5mN4b5F76Ii/7qUwplKRhN9BIpkt6DO7n/Q380ZkYvZCcPrX7NX7Lq5reXoLKZLdXXxS/e/Xs5T7uKVNZw03/cz9Hf/pItX/7wqOeYSJR44zyu/8T/5e1RD3Uc4egTv8Z6Hs3rrqJ20YqC/RwioIleIkXTvfs5jMm9OZ6fTnL8+ccUymfgwIM/znc6M76X5oEP/wl9B3eOWbttM2mSPcfZ+6vvsOoVb835+sqmBSy/8Q3TXLHI1GmbTZEpilXX5Z/QZQwVddra8UwMHN2bc/QBwE8l6TuwI+9e4H4qycEHfljI8kQKQqEsMkXN518NeUI5HIuz9MV/XOSKZofaRSsJx878/OOp7iEuUgoKZZEpCkdjXPzuT2cnIY3YPzlcUcmSa199ckKSnJ7FV/0BhM5sSVkoGmPh5S+d5orG52fSYyb6iZwu3VMWmQYtF1zLdR//Pi/87Gt07Xqa+Jx5rLjpTTSff1WpS5uxotV1XP6+23nsU+/EWouXHMREoqO2Gc3FhEJEKmtYftMbi1Jnz97nefYb/0Ln9s1YCw1nreO8W/6ROasuKEr7Mrto9rVIGbC+R/tzj5LsPk7dkrOpX7a2qO2nB3o58ttfkurvpmHFeTStvWTSG6tkEoMcfuxuho4fxvcyvHDX1/BPOQXqBBMKM++Ca1n3lg9RNXfhdP4IOfXs28aDH3kjXnJw1OPhWJwrPvAV5px9YcFrkJlBs69FBICuXVt47F/fhZ9KYrHgW2oWn8Xl77u9KOcLH3zoJzz1pX/CGIOfSROKxKhqXsSVH/zqpNqPxKtove7VQHad8bEn76Pv0Auje8wmRGXTfK7/lx+e8cYiZ+L5b/3rmEAG8FIJnv3GJ7j2o/9TtFpkdijKPWVjzK3GmE3GmE3t7e3FaFJEgGRvJ498/K2kejvJJAbwEoN4qSF6923j0f93K4UeKes9sIMtX/on/FQCLzmE9TJ4yUH6j+zh8c+++7S/nzGGKz/4VZrPvZxQtIJIVS2haAVzVl/ENe63ixrI1lqOP/do3us9e57PucZaZDxF6SlbazcCGyE7fF2MNkUE9t37XXwvM+Zx62XoP7KH7t3P0njWuoK1/8LPvoaf4x6w9TL07N1K36Hdp71xR6ymgcv/YSOJrjYGjh2gcu6CogxV51SAvc2lvGn2tcgs1rnjSfx0MvdFC737txW0/d792/MuTQqFIwwc3XvG3zveOI+mNReXLJCNMTSvu5Lsfp1jNaw8n3AsXtyiZMZTKIvMYpVN8zGh3P/MTShU8I1NquYtztubtL5HZdP8grZfaOe84e8Jxys5NZjDFZWcd8v7p60dL5WkbcuDHNn0qwmOn5SZThO9RGaxZS/+Yw4+8MPc9zZDIeatv7qg7Z/1sjfT9uRvxrZvDJVNC6hbWtxZ4NOtbvEqrrntv3n+vz5F+zMPY61l7tpLOOeN76Nh+bnT0saB+3/I03fednIrVz+TYunv/RHn3fL+vB+4ZOZSKIvMYvXL1rLqlbey84cb8dIpsD6hSAwTDnPJ332OUCRW0PbnnH0hq171Dnb87+1Y38N6GcIVVYQr4lz63i8U5LzpYqtbvIrL/2FjdtKctdMalMefe4ynv/KRMR9q9t/3faLVdax57elPlpNg0zplkTLQvftZ9tzzLYY6jtC48nyW3fD6og4d9x3azYH7/5dkTwdNay5m4RW/T6TizLfQLBcP3XYLHdty/76MxKt56caHC/7BSqaH1imLyEkNK87jwr/4+Gm9ZrD9EG1PP4SfThKqiBOrrqf53MuJVteddvu1i1Zwzuvfe9qvK3c9+7fnvWatZajjKNUtrUWsSApNoSwio1jf46kvfZhDD//05JAzgAlHwIQ4+1Xv4OxXvzOQQ8+ZxCCHH7+HofZDVLUsYeGlN83oGdDRqloyg305r1kvTbSqtsgVSaEplEVklB0/3MjhR342ZinViXDe9eMvUzl3Ia3XvqoU5eXVsW0zj33qHVg/u092OF7Fs3d+jMvf/+WCrsUupGU3/Anbf/Dv+KnR/1+YUIg5qy8mVttYosqkUDR1T0ROsr7H7p/dOe5OVF5yiO3f+3wRq5pYerCfxz75DjJDAye3vfQSg6QHe3n0E2+bsTtrrXjpn1LfuobwiPvvoVicaE0DF9z6zyWsTApFPWUROSk92IeX57CHkYaOH8H3MoTCwfgVcuiRn2J9P+c1389w+PF7WHL1zUWuaurCsQqu+vA3OPz4Pey/7/t4qQQLNryY1utfS6ymvtTlSQEE41+UiBRFz96t7P3Vd0h0HmPO6otovf61VNT9bgg0Eq8GM/EAWjhWMers6FLrO/QCXir3hwkvMcjA0f1Frmj6hCJRFl/5chZf+fJSlyJFoFAWKRPbvv8FXvjxHfiZFNb3aX/uEXb+cCNXfvCrNKw4D/hdABx86Cf4mVTO72MiUZZc+6pATfSqbllKOBbPOUwdrqiiqnlRCaoSOX26pyxSBrp2beGFH9+Bl0qcHOb1U0kyQ/089q/vGjX0e+4t76d6wbJR9zFPCMXiVLe0svZP3lO02idj8VV/kHc7T2MMCy97Sc5r1lq6dz/LoYd/SufOpwp+apbIRNRTFikDe+75VnZHrxy8xCAd2zYx95xLAYhW1XDdx77H0Sd+zeFH72Ko4yheKkmspoHF19zMostfRjhWUczyJxSrqeeS93ye337m3WAtXiqR/VBhDJe974tE4lVjXjN4/DCPffIdDLYfwoRCWN8Sb2zmsvfdTs2CZcX/IURQKIuUhaHjh8HmnggFkOgefc55KBJl4aU3sfDSmwpd2rSZt+4qbvz8rzn40E8YOLqP2kUrWHTly3Ou5bW+x0O33UKi8+ioUYKBY/t56LY3ccPn7iUc1U5ZUnwKZZEy0HDWOjp3bcHmOtvY96hbvKoEVU2/WE09K17yxgmfd+zJ35Dq7xk7Y9taMskhjjx2N4uvfkWBqhTJT/eURcrA8pvemHP5kglHqGtdTV3r2SWoqnR69m3FSwzkvOYlBul64ZkiVySSpVAWKQNVzYu49D1fIFJZQyReTThWSbiikrrW1Vz6918sdXlFF6ttJJRn+81QJEa8YW6RKxLJ0vC1SJloXnclL7n9Idq2PECqt4P6ZeecXApVbhZd/jKe++Ync180hsUzcKMRmR0UyiJlJByNsWDDi0tdRsnFahu54O0f5akvfxibSWN9DxMKYyJRzrvlH4t6rKXISAplESlLi69+BfXLz2HP3d+k98AOahauYPlL3kR96+pSlyZlTKEsImWrdtFZnP/nTqnLEDlJE71EREQCQqEsIiISEBq+FhEJqGRPB+3PPIzF0rzuSuL1Wqo12ymURUQCxlrL1u98lt0/+xomkv01bb0My296I+e84X2BOqFLppeGr0VEAmbfvd9lz93fxM+k8BKDeIlB/HSKvb/8b/b+8tulLk8KSD1lEZGA2fG/X8RLDo153EsOseN/b2f5jW8oQVWjde9+jm3f/Tc6tm0mFI2y+KqbOfvV76SirrHUpc1o6imLiASI9T0SnUfzXk/2dOQ9hrNYjj//OA/d9ibatjyIlxwk3d/D3l9+m9984NWk+rpKWttMp1AWEQkSEyKc4/znE0LRGKFItIgFjWat5amNH8JLJQD7u8e9DMneTnb99Kslq202UCiLiASIMYal17+GUGTsec6hSIzW615d0oleg20Hx5y/fYLNpDn44I+KXNHsonvKIiLAUMdRdv3kKxx74l5MOMKSa17J8pe8iWhVbdFrWfNHf8PxbZsYOLIPLzkIQLiiiqp5iznnT95b9HpG8jNpjMnfn7NepojVzD4KZREpe/2H93D/h/8YLzl0MlR2/N9/su/X3+O6j3+fWE1DUeuJxKu59rbvcHTTrzj4yE/BwqIrXsaCS27I2YMuppoFSwnHYic/LIwSCjPvgmuLX9QsolAWkbK35Q6HzFA/2N/dI/XTSRJd7ez4wX9w3p9+oOg1hSJRFl7+UhZe/tKitz0eEwpzzuvfxzN3fnT4vvLvRGJxzn7VX5SostmhKPeUjTG3GmM2GWM2tbfnvhchIlIK6cE+Onc8NSqQT7BemgO6RzpG6/V/yPlvdaloaCYUrSAUidKwcj1XfeS/qG5pLXV5M1pResrW2o3ARoANGzaM/ZsvIkXXvfs59tzzXwy07adh2Tksf8mbyvIXqpccwoRCWC/P9VSyuAXNEEuuuZnFV/0Bie52wtEYsVqtT54OGr4WKUM7f/xldnz/37PrXa1P184t7Lv3u1z87s8w/+IXlbq8oqqon0u0upZkd+7wnbNyfZErmjlMKETlnJZSlzGraEmUSJnpO7Sb7d/7QvZ+oPWB7IxZL5Vg8xfeSyaRYwLPLGZCIdb+0d8RjlWOuRaOxVnzR39TgqqkXCmURcrM/vu+h/XzjNUaw9HN9xa3oABovf4POecN7yVSWUMkXk24ooqKhmYu/uvPMOfsC0tdnpQRDV+LlJlEV1vetaQ2kyHV21nkioJh+U1vZOnvvY7e/TsxkQh1i1dhQuq3SHHpb5xImZmz6kLCFWOHaoFsGC1bU+SKgiMUidGw4lzqW1crkKUk9LdOpMwsvuaVhMJj9042oTCVTQtoWnNJCaoSEVAoi5SdaFUNV37468Sb5hOOV2XvocYqqWtdzZUf+EpJ91UWKXe6pyxShupbV3Pj5+6lc/tmEp3HqFm4gvpla0tdlkjZUyiLlCljDE1rNpS6DBEZQcPXIiIiAaFQFhERCQiFsoiISEAolEVERAJCoSwiIhIQCmUREZGAUCiLiIgEhEJZREQkIBTKIiIiAaFQFhERCQiFsoiISEAolEVERAJCoSwiIhIQCmUREZGAUCiLiIgEhEJZREQkIBTKIiIiAaFQFhERCQiFsoiISEAolEVERAJCoSwiIhIQCmUREZGAUCiLiIgEhEJZREQkIBTKIiIiAaFQFhERCYiihLIx5lZjzCZjzKb29vZiNCkiIjLjFCWUrbUbrbUbrLUbmpubi9GkiIjIjKPhaxERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiASEQllERCQgFMoiIiIBoVAWEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYBQKIuIiAREpBiNGGNuBW4d/jJpjHm2GO2WsbnA8VIXUQb0Phee3uPC03tcHKsn8yRjrS10IaMbNGaTtXZDURstM3qPi0Pvc+HpPS48vcfFMdn3WcPXIiIiAaFQFhERCYhShPLGErRZbvQeF4fe58LTe1x4eo+LY1Lvc9HvKYuIiEhuGr4WEREJCIWyiIhIQCiURUREAkKhLCIiEhAKZRERkYAoyjabIjJ5ruv+NfBO4AnHcd54mq9dBlzpOM63ClAaruteC/x/wPnAnziO871CtCNSrtRTFgmedwG/f7qBPGwZ8IbTfZHruuFJPnU/8BagIKEvUu60TlkkQFzXvR34c2A78BWyGw58HlhHdmTrI47j/HC4R/wNoHr4pX/lOM7Drus+CqwF9gBfA7qADY7j/NXw9/8J8K+O49znum4/8BngJcB7gaHhr2vIHlDwFsdxjuSp807gJ+opi0wv9ZRFAsRxnL8ADgMvchzns8AHgXsdx7kEeBHwKdd1q4E24EbHcS4C/hj43PC3+EfgAcdxLhh+/XiqgWcdx7kMeIxs+L/WcZyLyX4g+Ng0/3giMgHdUxYJtpuAm13X/fvhr+NAK9ng/oLruhcAHnD2GXxvD/j+8J9XA+cBv3BdFyAM5Owli0jhKJRFgs0Ar3EcZ/vIB13X/QhwDFhPdsQrkef1GUaPiMVH/DnhOI43op3nHMe5YjqKFpEzo+FrkWC7G3i367oGwHXdC4cfrweOOI7jA7eQ7dkC9AG1I16/F7jAdd2Q67pLgEvztLMdaHZd94rhdqKu6547rT+JiExIoSwSbB8FosDTrus+O/w1wH8Abx6e2HU2MDD8+NNAxnXdLa7r/h3wENlJX88A/wo8kasRx3FSwGuB/+e67hbgKeDKU5/nuu4lruseBF4H/Kfrus9Nz48pIqDZ1yIiIoGhnrKIiEhAKJRFREQCQqEsIiISEAplERGRgFAoi4iIBIRCWUREJCAUyiIiIgGhUBYREQmI/x9JawsHFvyU5wAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -565,28 +510,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Classification Example Figure 2" ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 30, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAGACAYAAABx1WHyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeUAAAF5CAYAAAChlDJaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzs3Xd8XNWZ+P/PnT4ajXq3iiVZLrhjY4ppAYNNgNBbIHSc7IbkS7K739/uN7t7c7dkSzabzSbZZNllIQFCAguhJBB6MTVgg40NLtiSi2yr19H0e39/zMyNpBnJsqWRRtLzfr38snTvjO6ZK3ueOec85zmKYRgIIYQQYupZproBQgghhIiRoCyEEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoCyEEEJkCNtUN0CIiaJp2lygEbCrqho5xmNvBe5UVfXM9LdschzrNWmadgXw70A+cJaqqh9OYvOEEGMgQVlMCU3TmoAKoEJV1fZBxz8ClgO1qqo2TVHb5jLG4D7N/Atwt6qqT03FxTVNM4AGVVU/S/N1HgAOqar6l8doywBgAEHgI+BeVVV/NcZrnAs8pKpq5bgbLMQgMnwtplIjcEPiG03TlgLuqWvO5NI0zTrJl6wBdozQltn4AX25qqrZwALgAeBHmqapU9skMdvNxv+IInM8CNwM/DD+/S3Az4G/SzxA07Tc+PmLiPVs/gv4jqqqejyo/RNwK9ALfG/wD48/91+BzwM6cD+gqqoaPdEGa5pmAf4vcBeQB7wMfEVV1c74+ceAs4h9uNgK/JGqqjvi5x4A/MSC4znAZZqm3QT4gLnA2cAnwBdVVd0bf87C+OtfBbQBf6Wq6qPxc4Xx13QusBN4foQ2O4EOwAps1TTtqKqq9fHRip8ANwILNE3zAA3xYyuAZuAvVFV9elD7B4Da+GvcClwF/Dmx310LcMNYhsU1Tfs2cBIQAK4ADgC3qKr6Qfx8E/CfwJeAcuDJ+L0MpBqmT/TCgfPir8fQNO0e4FVVVS8drS3xkZoHNU3zAw9pmvYjVVU7NE27jdjvupLYvf8nVVX/M36fngOcmqb1x3/M/PjjfgAsIvZ7fhz4pqqqoWPdDyESpKcsptK7QI6maYviAfY64KFhj/khkAvUEQtkNwO3xc/dBVwCrARWA1cPe+7PgAgwL/6YC4E7x9nmrwOXx9tSAXQBPx50/jliwaEE2AI8POz5XwT+HvACb8aP3QBoxOZ6P4ufJ/7m/yLwi/jPuwH4D03TFsef92NiQa0cuD3+J4mqqsF4jxBivcP6QadvAC4m9gFDAZ4BXohf72vAw5qmLRj0+GuBvwSKiA37vhN/nUXA/xL7EDRWXwB+Gb/208CPhp2/EVgP1BMLeiMORyeoqnovsXv+z6qqZh8rIA/zFLGOypr4963E/n3lEPs3931N005WVdVH7EPi4fg1slVVPQxEgW8QuxenA+cDf3wc1xdCespiyiV6y68T6+01J04MCtQrVVXtA/o0Tfsesd7TfcQCxL+pqnow/vh/INZrRNO0UmJvnHmqqvoBn6Zp3wc2EuuBnagvE5uXPRS/zreBA5qmfUlV1Yiqqv8zqP3fBro0TctVVbUnfvgpVVXfin8d0DQN4AlVVX8ff87D/CGwXQI0qap6f/z7LZqmPQ5crWnaTmK91KXxILFd07SfEettH49/H3T/zgKygX9UVVUHXtE07TfEAve344//taqqm+OP/zXwx6qq/jz+/a+Au4/j2m+qqvps/LkPAvcMO/+jQW37e2If0I4ZmE+UqqphTdPagYL4978ddPp1TdNeIDZCsGWE528e9G2Tpmn/SezD27+lqcliBpKgLKbag8AbxIZEfz7sXBHgAPYPOrYfmBP/ugI4OOxcQg1gB47EAx/ERoYGP/5E1AC/1jRNH3QsCpRqmnaUWC/3GqCY2JB54nUkgnKq6x8d9PUAscCYuNapmqZ1DzpvI3bPiuNfj/T6x2rw8yuAg/GAPPhnzhn0fcugr/0pvs9m7Ia/bpemabZByXXDX1vFcfzs46Zpmp3YfU1MRVwEqMR66RYgC/h4lOfPJ/aBanX8sTZg80iPFyIVCcpiSqmqul/TtEZi8753DDvdDoSJBadP4seq+UNv+ghQNejx1YO+PkhseLVogjOoDwK3D+rtmjRN+xJwGbAOaCI27N5FbFg44Xi2ZTsIvK6q6gUprmUlNjRfRWyEAYa+/rEa3J7DQJWmaZZBgbka2H0CP3ciDP/dHo5/7SMW9ADQNK1s2PNOdOu7y4jd09/H5+EfJzaK81S8F/0kf/hdprrGT4APic2r98XntIdPqQgxKgnKIhPcAeSrquobnAWsqmpU07RHgb/XNO1mYsOK3yS2tAfgUeDr8SFWH7GEo8Rzj8SHG7+nadpfAf3EeuOVqqq+PsZ2OYdlJYeAn8bbc0v8A0UxcEZ8mZGX2AeBDmJB4zvHeR+G+w3wj/Fg/8v4sRVAv6qqn2qa9gTwbU3TbieWKHYLsQ8DJ+o9Yvfx/8anCdYClwKnjONnjsdX47/bAeD/AYnlSluBxZqmrSD2geTbw57XQiwHYUw0TSsgNtXxr8SSuTo0TfMCTmIJXpF4r/lCYPugaxQOm5rwEks47I8n6P1R/PlCjJkkeokpp6rq3kTWbQpfIxYo9hFLjPoFkJi3/S9iGcdbic3zPTHsuTcTG/7+hFiP9X+JJUWNVT+xIdnEn/OIZdc+DbygaVofsWS1U+OP/zmxYdbm+DXfPY5rJYnPo18IXE+sl3iUWLa5M/6Qu4kNFx8ltqTn/uSfclzXCxFLvrqI2CjFfwA3q6q6c9Qnps8viCWd7Yv/+bt4O3cDfwO8BOzhDwlzCfcBJ2ma1h3v3Y5kazx7+jNiCYDfUFX1r+PX6COW1PcosX87XyT2eyd+fifwCLAvfp0K4E/jj+sj9m9zTGuehRhMMYwTHekRQoj0iC+JulNV1Zemui1CTCbpKQshhBAZQoKyEEIIkSFk+FoIIYTIENJTFkIIITKEBGUhhBAiQ0zKOmVFUTYSK2+Ix+NZtXDhwsm4rBBCCJERNm/e3G4YRvGxHjfpc8qrV682PvhgpCWpQgghxMyjKMpmwzBWH+txMnwthBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGkKAshBBCZAgJykIIIUSGmJSgrCjKRkVRPlAU5YO2trbJuKQQQggx7UxKUDYM417DMFYbhrG6uLh4Mi4phBBCTDsyfC2EEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoCyEEEJkCAnKQgghRIaQoDzNRaI6gXAUwzCmuilCCCHGyTbVDRAnxheK8P6BLlr6gwA4rBaWlucwryh7ilsmhBDiRElQnoYC4SjP72wlFNVJ9I8DEZ0th3oIRQ1OKvVOafuEEEKcGBm+noZ2t/cT1v8QkBOihsH2o71EdH1K2iWEEGJ8JChPQ4e6/egjTCFbgE5feFLbI4QQYmJIUJ6GFEUZ8ZwBjHJaCCFEBpOgPA3VFmRhHSHwKgoUehyT2yAhhBATQoLyNFRf6CHLYcMyLDBbFYXVlXlYpKsshBDTkgTlachutXDh/BIairJxWBUsChRm2Tm7vpC5BZ6pbp4QQogTJEuipimHzcLJlXmcXJk31U0RQggxQaSnLIQQQmQI6SkLMQEMw6DLH8YfjpLntuNxyH+tVMJRnabOAVr6g7hsFuoKPRRkSWKiEAnyziHEOHX5Q2za10EwoqMQK+JSmu1kbW0hdqsMRiX0BcK8uLuNqGEQ0Q0UYF/HAPOKPDINI0ScvGMIMQ7BSJSX97ThC0WJ6AZh3UA3oKU/yBv72qe6eRllU2MHwahOJF75xiD2AeazDh9HegNT2zghMoQEZSHGYW+HDz1FeTXdgA5fmB6/VFcD6PGH6Q9GU56L6ga72vonuUVCZCYJykKMQ2tfkOhIu2Yq0DEQmtT2ZKqBcDRpXf1gvlBk8hojRAaToCzEODht1hHPKcSWrgnIcdmIjrDntwLku+2T2yAhMpQkegkxDvOKPBzs8RMdYYeQcq9rkluUXi19AT5t6aM3GMHjsLKwxMucXPcxn+dx2CjNdtLSH0zaTMWiKCwqke1GhQDpKQsxLkUeB3UFWVgHjc0qxEqenjG3YMjx6e7Tlj5e39fBkb4gvlCU1v4QbzV18mFz95ief8bcQvLdDqyWWBU6m0XBqiisqc4jX5ZFCQFIT1mIcVEUhVWVeczJdbO7rZ+BcJTCLAcLS7LJcc2cIVl/OMq2Iz1JvdyobrCnzUddgYfcYwxBO2wWLlxQQsdAiA5fCIfVwpxclywbE2IQCcpCjJOiKJTnuCjPmVlD1YMd7PYzUp9fNwyaugZY7s4d088qzHJQKD1jIVKSj6hCiGOKRPWkXnKCAYSi+qS2R4iZalKCsqIoGxVF+UBRlA/a2tom45JCiAlUlO0ccX7cZlEozXZOcouEmJkmJSgbhnGvYRirDcNYXVxcPBmXFEJMoGKPA68zeQ9vBXDaLFTmHTsDWwhxbDJ8LYQ4JkVROG9eMWVeFxYF7BYFqwLF2Q4umF+CRZk5WeZCTCVJ9BJCjInDZuGc+iL84Sj9wQhZDqvshiXEBJP/UWJEwYhOY4ePnkAYr8tGXYEHl33kClZidnDbrbjl34EQaSFBWaTU0hfgjX0dGEZsJx+rAtuP9LG2tmBMFZyEEEIcP5lTFknCUZ039nUQ0Q2zXnE0HpzfauwkGEm9248QQojxkZ4y0BsIs/1oL0d7g1gsMDffw6JSL85ZupnAwW7/KGcNGjsGWFgqtYqFEGKizfqg3DEQ4pU9bUR1AwMgCrva+tjfNcCGhSWj7gI0Uw2EouZG9MNFDeiXbfaEECItZmdXcJDfH+gikgjIcboBgUiUT1r6pqxdU8nrsmEboVCEVYE82WZPCCHSYlYHZX84Sm8gnPKcbkBT58AktygzVOa6sY6w7lRRFGrysya5RUIIMTvM6qAc1Q2UUYoejLQp+0xntSh8bl4RTqsFm0VBIVZK0W6NHZddfYQQIj1m9Zyyx2HFZlFG3KC+NHvm7vpzLPlZDi5bUs7hXj99gQgepy3Wgx7H/sC6YRCK6NitlozdZ9gwDNp9IZq6BojqBnNyXczJdUvFKiHEpJjVQVlRFJZX5LD5YE9Sr9hqUVhanjNFLcsMVotCVd74h6oNw+DT1n4+bekjosd2E5qT62Z1ZV5GFSPRDYO3mzo50hswE90OdvvJsveybn7JqNn4fcEI24/0crg3gKJAdZ6bxWU5UmRDCHFcZnVQBqgvzMYwYNvhXiKGgWEYZDtsrKnOl4SmCfJhcw+ftfuGfPA51O2ncyDE5xeWYsuQ4fC97T4O9waGjJxEdIP+YIT3D3RxZl1hyud1+8O8uLt1SMb6Z+0+DnT72bCglCzH6IFZNwz2tPWzq62fQEQn22FlSVkO1TJ3L8SsM+uDMsC8omzqCj30ByNYLYrU851AgXCUPe39SXvxGkAgotPYOUBDcfaUtG24na19KacydKC51084qqecT//gYFfSEjIDCEV0Pj7Sw6k1BSNe0zAM3mzs4GhvgGj8R/QEIrx7oIvuQJhl5bnjeUlCiGkmM7ooGcCiKOS47BKQJ1hrf3DE+diobhyjUMnkCkT0Ec9ZFIVgivPhqE67L5TyOQZw4Bivr80XoqUvaAbkhKhu8GlLH/6wVE8TYjaRoCzSarTsdiBpf950CEd1wtGRA25CtnPkD2SGQcr5b92A0V6ifowM/qbOgRELtSgoNPdkzocWIUT6SbdQpFWZ18lIcclmUagt9KTt2m39QTYf6qbbH1uLnue2s6oyj+JsZ8rHLynz8s7+rqQhbKsCdYVZKQuqOKwKbrsVXyh1j7bI4xi1jaMFbQMjadh/NIZh0DkQZiAcJddlI8clORFCTDfSUxZpZbdaWFaek1SMxKJATnyZVTq0+4K8+lk7Xf4wBrGh5C5/mFc/a6fdF0z5nKq8LBaVeLEoYFUU8+9Sr4uVc/JSPkdRFFbOycWaordsVRSWV4w+Jzwn1z1i9TQFKPWm/gAxXI8/zDOfHOWVz9p4d38nv9vZyou7WwnI8LcQ04r0lEXaLSz14nHa+PhID33BCHaLhfoiD4vLvGlbr/xhc/IyN4gVhNnS3MOF80tSPm9peQ7zijw09/iJ6galXtcxs/Cr8rIwamBLczehSOwjgNthZU1VPkWe0YPqnFwXWQ4r/cHIkF6xVYHyHBe5Y+jthqM6L+1pJTRsYrrDF+LVve1sWFByzGkEIURmkKAsJkVVnpuqvMnZh1mPFwAZSYcvhG4YIyague1W5hUdX0Z4dX4WVXlufKEoigJZduuYAqFFUbigoYT3D3ZxqMePggIKzCv0HLOXndDY6UuZNW4QWz/d7guNOGQvhMgsEpTFjKPE/4w0HZuuPqOiKKMmi43EYbOwtraQSFQnGNVx2azHNYLQ1h9Kyt5OMAyDLn9YgrIQ04TMKYsZR1GUUediS73OjCybabNa8Dhsxz2k77ZbR/ygYVEUHBlSnEUIcWzyv1XMSCfPyUuZQGWzKCMmbU1XdYWeET9kGMTmrYccMwxa+4Ps6/BxtC+AMUs3XhEiE8nw9QykGwa6YWCzzN7PXLluOxcuKGHr4R6O9AaAWOLU8vJccsdRPtUwDNp8IfabG1a4mZPrmtKed57bzqLSbD5t6TeT2xRiveTTq/OHVCHrD0Z49bO2IYVS7FYL59YXpb2sbCii0xeM4LRZTmiYX4jZQP5nzCC+UITNh7o53BMLQh6nlZUVeVROUoJVpsl12Tm7rmjCfp5uGLy5r4OW/uCQDSs8DivrGkpwjLJhRbotLc+lzOtiV1s/A6EI+W4HC0qyh6xV1g2Dl/a0JVUJi+hRXt7TxmVLytLyQS6qG2w+1EVT5wAWRUE3DHJcds6YWyBrqYUYZvZ2pWYYfzjK8ztbOdwTMNfl9gejvN3Uyb4O31Q3b9IZhkEgHCU0SunM47WnrZ+jfYEhFbgiukFfMMIHh7om7DonqjjbyZm1hVy4oJRTqvOTAt7h3sCIlc10w+BAV3qqh727v5OmzgGiBoR1g6gRWzP+4u62lKVLhZjNpKc8Q+xs7SOs60kZx1HD4MPmHuYWZGVkclM6HOwa4MPDPWaPMN9tZ3VVPgVZo1fXOpZdbf0ps5x1I9ZjjkT1jNnxKpVuf3jEkp4R3aBzIETdBFdY84UiHOrxp6xMFtUN9nb0c1Lp7N4iVYjBMvcdRByXg92p3/gg1gvqiZeanOkOdA3wzv4ufKEouhELmB0DYV7e00ZPYHz3IBAeuVenKArBMdTXnkoum2XEzG6LQlr2fm73hUbekMQwzPl+IUSMBGUxrQUjUfoCYaJ6bC/sLSNU8oroBtuP9I7rWtnO0YOWyzbxQW0iVedljbh4W4G01CEfqYRoQqqtMIWYzWT4eoaoyc9iZ2tfyt6y1aKMK+M4Ew2Eorx3oNPcGtIAavPdBEep9TzeXtnishzeO5B6w4p5hZ60lQydKA6bhdNr8nlnfxeGYaCTyNKGVVX5ZKWhp1zmdY14zmZRqE/jhiRCTEcSlGeIhSXZ7OvwEYwMnVe2KgqrK/Nm1HxyOKrzwu4W/PHh5MROS42dA4w2gDze+s/VeW56/GE+be1DQcHAQCG21GrFnLGVxJxqVflZ5Gc52NPeT48/jNdpo6E4O21Z0FaLwqnV+by7v2vICIbVolCa7aQiZ+SgLcRsJEF5hnDarGxYWMpHzT0c6B5AN2IJTssrcimfYW98jZ2+lFnVI5WahFiPsDp/fEvDFEVhWUUu84qzae7xo+sGZWPcNCKTZDttk1pApTo/C4/Txo6jvXQNhHHaLMwvzmZuQZZslCHEMBKUZxC33crpcws4nQIMw5ixb3jNPYERA7BViSV3DT6tEBu6XVI2MVm+WXYrDce5YcVsV5jlmNA140LMVBKUZ6iZGpCBUeduFUVhebmXlv4QrX1BLEpsh6qlFblpyS4WQoiJNClBWVGUjcBGgOrq6sm4pJjB6go8tPQFU665NQyYV5TNolLJ6hVCTD+T8s5lGMa9hmGsNgxjdXFx8WRcUsxgFbkuCrMcWIeNBlgVhZWVubLMZhDDMGjrD7L1cA/bDvfQNTDyPtNCiKknw9di2rEoCufOK2J3Wz972voJRnXyXHYWl+XMuKS28YjqBq/tbadzIGSOKuxs7WdOrovT5xbMqIx8IWYKCcpiWrIoCgtLvCws8U51U45LRDcIRXVcNkvag+JHh3to9wWHrF2PGgbNPX52t/VPu3snxGwgQVmISRCK6Gw+1M2B7gEUFBQFGoo8LKvITUtw1g2DfR2+1DWnjViPWYKyEJlHgrIQaRbbMrGV3mCEWP2M2Jqt3W0+fKEoa2sLJ/ya4ahuFlVJJTBK5TMhxNSRoCxEmjX3BPCFogyPkYmh5N5AeMIratmtFnPv4lSm+/IwwzBo94Xo8seKkczJdaVlL2ghJpsEZSHS7FC3f8QtEw3gaF9wwoOyRYnVlf6sPXm7SatFYVHJ9C1+4g9Hee2zdvpDEXTDMIf/z5hbwJzc8VVtE2KqyUdLIdJs1GInKKRrH4vlFbkUZzvN6yvElo1V5bppKJ6+QXnTvg56ArG9oXUjljwX0Q3eauykLxiZ6uYJMS7SUxYizarz3TR1DSTtLgVgYFCRpt6d1aLwuXnFdPhCHO71Y1EUKnPd03rHsG5/mG5/OOUOlLphsLutj1WV+ZPeLiEmigRlMe1lep3v0mwnJdkOWvtCSTslLSjOTsuWiYMVehwUehxpvcZk6QmEURRS7gttAF0D4clukhBEo1H8fj+BQIDs7GysViuffPIJgUAAv99PSUnJmH+WBGUxLYUiOluP9NDYGeuBep02lpXnUJ2fNdVNS6IoCmfXFbGrtZ9dbf0EI1GynTYWl+ZQM86dq2abY32AyXJM7wQ2MXV0XScQCGC1WnE6nezdu5eBgQECgQBut5slS5bw3nvv0djYaAbbjRs38vHHH/PMM8/gcrlwu91cfPHFlJeXs3fvXvOYwzH2D8USlMW0E4nqPL+rBV/4DxnNfcEI7+7vwh+JsqA489bfWhSFRaVeFpVmXtumkyKPA4fVQkRPXtJlVZSM/N2LyWMYBrquY7VaaW1tpb+/H7/fD8DixYvZtWsXu3fvNnu1l112Gb29vTz88MOEQiGcTifr1q1j1apVvP/++9hsNlwuF2VlZQCUlpaSk5NjBltFUVi2bBnLly9PGq278sorT+g1SFAW086+Th/+cOolRlsP91Jf6JHlMTNUbNShkJc/a0M3YqVEFWIfek4q886YYXoBPp/PDKqBQICFCxdy5MiRIcPCZ5xxBl6vl/vvv59AIEAgEGDNmjVs2LCBN954A5/Ph9vtJi8vj8WLF+N2uykvL8ftdpuBNTs7m3vuuQen0zkksF5//fVJbZo7d27aX7cEZTHtNHX5R9xP2QK09YekBvYMlp/l4AsnldPY6aPNF8JttzCvMHtaJ7DNRJFIxAyofr+f8vJyBgYG+PTTT83jCxYsoLa2lgceeACfz0cgEGDOnDnccMMNvPLKKxw6dMgMnvPnz8cwDGw2G8XFxbjdbrxeLx6PhxtvvBGXy4XL5cJqjU1hXH311Ultqq6uTrlTYeI5mUCCsph+Ri5UNdopMYM4bBYWlHhZMNUNmeGi0agZVL1eL4qisGvXLvx+P36/n7KyMhYsWMBvfvMb2tra8Pv9uN1ubrvtNl577TU++ugjs1d69dVXEw6H6erqwu12k5+fj8fjQVEULrjgApxOpxmAAS699NKk9lRUVFBRUZF0vLBw4qviTRUJymJCHO0N8GlrH/3BCDkuO4tKvZRkO9NyrZp8N93+UMresmHE5h2FOFG6YaDrBlaLktFZ/WOl6zrBYBCr1Yrdbmffvn1moPV4PCxatIh33nmHgwcP4vf7CQaD3HXXXWzZsoXf/va3ZqC87LLLKCoqYvfu3eYxmy0WQhYvXoyiKLjdbjOorlu3jnXr1iW156KLLko6VllZmd6bMI1IUBbj9vGRHj5t6TeX+/SHorT0BVlWkZOWTQ/qCj3sbO2PzSsPOm5VFJaUe2U/ZXFCBkJRNh/q5nCvH8OIZXIvK89hboFnqpuWlMDk8/nw+/0oisKiRYvYuXMnn332mRlsL7/8cjo6OvjVr35FMBjE4XCwfv16VqxYwTvvvGP2SufMmQPEEphyc3PNXi3AypUrOfnkk5M+mFx11VVJ7autrU3/TZglFGOUovXpsHr1auODDz6Y1GuK9OkLRnju06Mpe60WBb6wuDwtdZYD4Shbmrs52B17A3XbrSwtz6GucOrfQMX0E4xEefbTFgIRfchxq6Kwck7uhFZA8/l8ZlANBoPMnz+f5ubmIVnBa9euxel08tBDD5nHTjvtNC644AJ++ctfmst0CgsLWbduHY2NjbS3t5s91erqahRFIRQK4XK5sEji45RTFGWzYRirj/U46SmLcWnqTL09YMKBrgEWpKG37LJbOWNu4YwbahRTY3dbP6GonnQ8ahh8dLiHukKPWa50cKEIv99PRUUFfX195lxrIBBg0aJFVFVV8cADD5iPq6mp4eqrr+aFF17gyJEjuFwusrKyaGhoQNd1LBYLhYWFuN1uPB4Pbreb66+/3uy9JpKRUmUF19bWpuytJoaXxfQhvzExLqGoPmJylW5AeLSIPQEsioLFKsFYHJ9EoYhEBabGth66Dzaih4NEwyFceUV4Sipp2fom4f4efvJWlLycHG666SZefPFFPv74YzN/C6vWAAAgAElEQVRYXn/99QSDQTo6OnC73eYwsMViYd26deb8a2Ku9YorrkhqT1VVFVVVVUnHi4qK0n4vRGaRoCzGpSTbxb6OgZS7INksiiRdibQxDMNMYLJarTQ1NZk9Va/Xy/z583n77bdpbm7G7/cTiUS4/fbbee+993j++edxOp243W6uuuoq9EiY/qP7sdqdWOwOiI+6ZJfXYrNaOK2+lIrCPAA2bNjAhg0bhrQlOzubz3/+80ltTLX8RojRSFAW4zIn14XTZiEaGpp0pQAeh5XSNGVgi5nBMAwMw8BisdDW1mbOtVqtVubPn88nn3xCY2OjGWyvuuoqDh8+zOOPP04gEMBut3PJJZewePFiNm3aZPZeE73OkpIScnNzhyy1Wb16NWvWrBky3dFt7SVkOS8pN8JTMge7VWH+3Apzi0gh0kkSvcS4DYSjvNXYQddACIuiEDUMij1O1tYW4LRlzqJ8kV4+n4+BgQH8fj/hcJj6+noOHTrEnj17zHnVs88+G4vFwiOPPGKudV27di3nnXceDz30EJFIBJfLRUlJCeeddx579+41h4VdLhe1tbUYhkE4HJ7QBKZQROe5nS0pM/pXV+VJAqEYt7EmeklQFhOmPxjBF4qQ7bThccggzHSj63pSAlNPTw979uwxjy9evJiysjIefPBB81hdXR2XX345jz32GK2trbhcLrxeL9deey1NTU00Njaac6rz5s3D6XSaBSRcLlfGJCMFwlG2Hu5hf5efqGGQ57KxrCKXOWnaWlPMLhKUhZiFDMMYksAUjUbZu3ev2SutrKyktraWp556iu7ubvx+P3l5eVx//fU888wzfPrpp2awvOmmm+ju7mbLli3m8G9DQwNFRUXs37/ffFxWVhZ2+8wqcZnp24GK6UeCshDTlGEYhEIhrFYriqJw4MABs/eak5PDvHnzePPNNzl69Ch+vx/DMLj55pt5++23eemll3A4HLjdbq699lrcbjcvvviiGVTr6+upra1lz549WK1W3G43WVlZ5ObmTvXLFmJGk3XKQkyh4QlMiX1ZrVYr8+bNY8eOHezfv98Mttdccw1NTU089dRT5uMuv/xyGhoaeP31181eaU1NDQDFxcXm0pusrNge0mvWrOG0005Lmme95pprktrX0NCQ/psghDhu0lMWk8IwDNr6QzR1DaAbBnNy3czJdU2LjNaBgQFzB5tIJEJtbS0HDx5k79695lDxOeecQyQS4dFHHzUD7VlnncU555zDAw88gK7ruN1uysrK+NznPsfu3bvNeVW3201dXR3RaJRQKITb7c6oXWuEEOMnPWWRMXTD4M19HbT0B831zAe7/XgcVtbNL8GR5lrViUIRicSkiooKurq6zKDq9/tZunQpBQUFZlZwIBCgoaGBSy65hCeffJLOzk5cLhe5ubnU1tYSDocxDIPc3FzKyspwOp1kZ2dzzTXXJBXrv/XWW5PaNH/+/KRjVqsVh0PWdQsxm0lQFmm3u62fo/1BooMKjER0g75ghM0Huzh97rG3XUsUikgkMIXD4SG73VRVVVFTU8OTTz5Jb28vgUCAgoICrr76ap566il2795tDgHfeuutDAwM0NLSYpY0dDgc2O12zjnnHLP3mljX+sUvfjGpPXV1ddTV1SUdLykpGcedEkLMdhKURdrtau0nqsfmWI1oBBQLigL9na3sOBzE3plFYX4+tbW1bNq0idbWVrOAxA033MCmTZt49dVXsdvtuN1ubrzxRiwWCzt27BhSFAJg0aJF2Gw2M9gCXH755UmZtJWVlSm3i5PdboQQU0mCsjhuieUiiU3N/X4/druduro6tm/fzsGDB80e7HXXXUfbgb0c3fY20VAQxaJQvuo83IVldOzcjNXhpCmQhyM+1FtUVEReXh4ul8sMqqeffjpnnHFG0jzrtddem9S2BQuSt72XpS1CiOlCgvIslqi+5Pf7iUaj1NTUcODAARobG82get555zEwMMCvf/1r87Hnnnsua9eu5cknn8RiseB2u6moqKCurg6r1Up+fv6QfVlL5lTjzC/BYndiGRRYq868BJtF4YqlFeYOPIsWLUpqZ6YUlxBCiHQb8d1O07Qq4LvAHOA54Luqqobj555UVfXyyWmiGMngQhGJCkwdHR1DagUvW7YMr9fLY489Zj5u4cKFbNiwgccee4ze3l5cLhcFBQXU1NQQDAaJRCJ4vV5KSkqw2+0UFBRw5ZVXmoE2USjirrvuSmpTqqC6rKqI3x/sGjKnDGBVYF7RH7bEE0KI2W60Lsj/AI8D7wJ3AK9rmnapqqodQM1kNG42SBSKSCQwBYNB9u/fb/ZKa2pqqKys5IknnjCL9ZeWlnLZZZfxv//7v+zdu9dMSrrjjjvo7+8392p1u93Y7XacTidnnXWW+bjEutZbbrklqT0NDQ0p17CWlpae8GusyXfT4w+xs60fBQUDAwUoz3GzvEKKVgghRMJoQblYVdWfxr/+mqZpNwFvaJr2BRhxC91ZyTAMIpEIFosFwzBobm42e6X5+fnU1NTw+uuv09HRYc6/Xnvttbz22mts2rTJrKx0yy23EIlE2LZtmxlUdT228frChQvNSk3Z2dkAXH311UnzpTU1NWaBicFSZQpPFkVRWD4nj4ZiL829fnTdoCzHRa5rZpVmFEII+ENnKzFieTxLHUcLynZN01yqqgYAVFV9SNO0o8DzwHFtmaIoykZgI2T2/qKJQiqJ4Jm4mTU1NWzbto3Dhw+bw8XXXXcdO3bs4Pnnn8fv9wNw/fXXU15ezssvv2z2ShPzoYWFheTl5Q3JCl67di1nnXVWUgLTddddl9S2k046KenYdEtgynJYaSjKnupmCCHEMSU6W4lRy0RHK9XXqb632Wxm52rp0qVjvu5oQfm/gVOB1xMHVFV9SdO0a4B/Ps4Xdy9wL8Qqeh3Pc09E4ub4/X50Xaeqqor9+/cPKWu4bt06uru7efrpp4ckNZ122mk89thj5vKbxPpXq9VqFopwuVwYhsG8efOorq42g28iSN5+++1JbVqyZEnSsZlWxF8IITJNJBIZUjxorIE10dkaXLcgEWQTfxcXF5tfDz9/olX5MrLMZqJQhN/vJxgMUlZWRnt7uznXGggEWLFiBS6XiyeeeMI8tmTJEs4//3zuu+8+fD4fLpeL4uJirrjiCnbu3Elzc7N500466SQURaGrq8s85nA4pl3vUwghZrrhVflG670OPxaNRkcMnIP/TvX1RHacMnaXqCVLlhj33nsvc+fOpby83Ayqfr+f8vJyLrnkEh555BGamprMm7Nx40YaGxvZvn27ebOWLFlCdnY2Bw4cMI95PB6cTuekvh4hhBDHNrizdby91lAohNPpPKHAmimdrYytfR2JROjr60PXdRRFYcGCBebN9nq9QGxudvhNHKmsYX19/aS0WwghZjvDMAiHwyc8z5qYFhwpsA6ucTD4cS6XKyMC62SY9KCcnZ3N+vXrze9TzbXOlpsvhBBTYawJTKmOJQoGjdRD9Xq9IwZW2f3s2I4ZlDVNKwW+A1SoqnqRpmknAaerqnpf2lsnhBAipWg0esLzrIZhjDrPWlBQMGLglQp76TWWu/sAcD/wrfj3u4FfARKUhRBiHHRdN+dZjzewhsPhUQNrTk4OpaWlIyYwyYhkZhpLUC5SVfVRTdP+AkBV1YimadE0t0sIIaaF4YUijiewBoNBsyhQqsDq8XgoLCxMed7pdEpgnYHGEpR9mqYVEq/ipWnaaUBPWlslhBCTaHChiOMNrMMLRQyeQ018n5ubm3I42Ol0YrFYpvrliwwylqD8TeBpoF7TtLeAYuDqtLZKCCFOQDQaPaHA6vf7URRl1OHgVD3W8RaKEGK4UYOypmkWwAWcAywAFGBXYrcoIYSYaGMtFJHq3LEKReTl5VFWVpbyvFTYE5ngmMVDNE17R1XV0yfqgmOp6CWEmN4GF4o43sAaCoWShn9TfZ/qa0lgEplqIouHvKBp2lXAE6qqyu5QQswSgwtFnMg8q8PhGDWwJgpFpJpnlcAqZquxzil7gIimaQFiQ9iGqqo5aW2ZEGJCnOhON36/H6vVOupwcKJQRKreqyQwCXH8jhmUVVX1TkZDhBAjG2uhiFTnpFCEENPHWCp6nZ3quKqqb0x8c4SYuaRQhBDiWMbyMfjPBn3tAtYAm4Hz0tIiITJYOgtFZGVlmctuhgdWmWcVYnYYy/D1pYO/1zStCvjntLVIiDQbb6EIq9U66k43iUIRqZKcZJ5VCDGaE5kwOgQkb+0kxCQbT6EIYNTlNVIoQggxFcYyp/xD4iU2AQuwAtiazkaJ2SNRKOJEAuuxCkXk5uaahSJSzbMKIUSmGUtPeXCljwjwiKqqb6WpPWIaOlahiNECaygUwul0jlqQv6ioKGVgdTgcMs8qhJhRxhKU81RV/cHgA5qm/Z/hx8T0NtZCESMFXbvdPmJgTZQ3lEIRQggxurEE5VuA4QH41hTHRAY43gSmweekUIQQQkytEYOypmk3AF8EajVNe3rQKS/Qke6GzWapCkWMdZ71WIUi8vPzqaiokEIRQgiRgUZ7F34bOAIUAd8bdLwP2JbORs0EhmGccAWmYxWK8Hq9lJSUSKEIIYSYYUYMyqqq7gf2AxO2Q9R0M1GFIlIFWCkUIYQQ08vwqnzl5eV0dnayb98+MwYsX74cr9fLo48+ah5btGjRmK8xliVRpwE/BBYBDsAK+KbThhTj2ekmUShipJ6rFIoQQojpI7FaJBAI4PV6CQaDNDU1me/7NTU1VFZW8sQTT9Df308gEKCkpITLL7+cJ554gr1795rv97fffjv9/f20tLTgcrnweDzY7XacTifnnHPOkE7YWI1lEvFHwPXAY8Bq4GZg3gndjXEYS6GIkc7ByIUiXC7XiD1Wt9sthSKEECLDJFaLWK1WDMOgubnZfL8vKCigpqaG119/nfb2dvx+Pw6Hg2uvvZZXX32VTZs2Ybfbcblc3HLLLUQiET7++GPzfV/XdQAWLVpkbj+anZ0NwFVXXZU0illTU0NNTU1SG2tra0/otY0ps0dV1c80TbOqqhoF7tc07e0Tuhqx7n9nZ+dxZwYPLhSRKngmCkWkOieFIoQQIvMYRqwuVSJ4Jvbhnjt3Ltu2baO5udnscF1//fXs2LGD3/3udwQCAQCuv/56ysvLeeWVV5Le74uKisw9uz0eDwBnnnkmZ599dlJn67rrrktqW6oh58mYVhxLUB7QNM0BfKRp2j8TS/7ynOgFu7q6eOihh1IGTykUIYQQE88wDNo/eY+exk9wZOdRvuYC7FkTtyvvwMCA2YHSdZ3q6mqampo4cOCAGWzPP/98enp6ePrpp81j5513HqeddhqPP/642Xutqqpi7ty5WK1W8vPzzVhgGAYNDQ3U1NQkVeW77bbbktq0ePHipGPToYM2lqD8JWLlNe8GvgFUAVed6AULCwv5+te/fqJPF0IIcRwCXa28/fe34e88ih4OYbHZ2fbA37DyK//AnNMuApKr8pWXl9Pe3s7+/fvNYLty5UqcTie//vWvzWNLlixh3bp1PPLII/h8PtxuN0VFRVRXV5tbjnq9XoqLi7HZbBQVFXHFFVeYHa5EkPzKV76S1O5UQdXpdOJ0OtN7w6aYkhg+GI2maW6gWlXVXeO94OrVq40PPvjg2A8UQohhDD1KeKAfm9uDxSrr6gcbXJXP6/Xi9/s5cOAAW3/xffq72sn2HcUd7KKp/HSiVgdRm4t5y9dwxXVf5JFHHqGpqckMlhs3bqSxsZHt27ebxxYvXozX6+XAgQPmCKbH48HhcEz1S58WFEXZbBjG6mM9bizZ15cC/0Is87pW07QVwN+oqvqF8TdTCCGOTY+E2fn4j2h64RdEw0EsVhvV517NSTd8E6vDNdXNm1CRSARFUdB1nSNHjpi90sLCQqqqqnjttdfo7OwkEAjgcrm48sorefnll3n77bfN1SK33347AwMDbH73Lbr9ESxWJ4ZiQQHy+g9hjYaxGRHKunKB2Nzs8OnBuro66urqktqX6piYOGP5qPltYA3wGoCqqh9pmjY3bS0SQohhPvjBPbR+/DZ6KJbgE42E2f/Ko/Q0fcLav34w4/JNEiOQHR0dZsKq0+mkurqarVu3cuTIEQKBAKFQiGuvvZatW7fy8ssvm1X5brrpJgoKCnjppZeSEpgKCgrMBKZEVvBZZ53FueeeOySBKTc3l/MWV/PRmz8l4veZx/P7DppfRw7HBj8z7f7NZmMJyhFVVXs0TUt7Y4QQYrie/TuHBOQEPRykZ/+ndHz6PkUnrUnLtQevDNF1ncrKShobGzl06JB57sILL6StrY1nn33WDMAXXHABq1at4pe//KUZVOfOnUt1dTWKopCbm0tpaamZwLRgwQJqa2txu93YbDYzSN5+++1JbVq2bFnSsZGGkN0FZRj6CFOUioWs0qoTvzkiLcYSlLdrmvZFwKppWgPwdWIlOMdMUZSNwEaA6urq426kEGL2at26CSMaTnkuGvBzdPPLIwblwVX5gsEgpaWltLW1ceDAATOAnnzyyVitVp566inz2IoVKzjnnHP4+c9/TiAQwO12U1paSmVlJQMDAwSDQTweD4WFhVgsFkpKSrjsssvM+dfEapG77747qU2pgmqiZsJEy6tfiiuvCF/LQWBocLbaHdSt/9KEX1OMz1iC8teAbwFB4BfA88DfHc9FDMO4F7gXYolex9lGIcRspljQFTthmwN7JEDE6sDnLiJqcRC1OigMW4hGozz55JNmr7ayspINGzbw8MMPc/DgQbMAxF133UV3dzeHDh0yA2hiHnbt2rVDlmcCfPnLX05qzuLFi1NmBpeXl6f9VhwvRVFY86c/4a2/uZFoKEg06Eex2lAsVuZf+VXy5yV/QBBTa7Rdoh5UVfVLwF2qqn6LWGAWQogTEolEsFhiAfTo0aPm8G9RURFz5szhlVdeoaenB7/fj8fj4bLLLuOFF17g91sPo9deilUPsbDpd4Ts2XTm1GLVw9jQKVx8KhaLhYaGBjMrOCcnVgX4xhtvTJovbWhooKGhIal99fX1k3IfJpt3Th3rfvAyze88S+fuD3HlFVN19uVkl8+d6qaJFEZcEqVp2ifARcDTwLnAkH/Zqqp2nsgFZUmUENObYRhm9q/f78flclFZWclHH31ES0sLgUCAaDTKlVdeyZYtW3jttdfMY7feeivZ2dk88cQTZq900aJFLFq0iA8//BBFUcyd0CoqKggGg1gsFnbcr9H89m+JDppXtjpcFC9dyynf/KEkKomMNxFLon4K/A6oAzYzNCgb8eNCiGloeG34iooK9u3bx+HDh80h4PXr19Pc3MwLL7xgHrvoootYvHgxDz/8sNkrra+vp7KyEsAsFJEowL9w4ULq6+vN7OFE8LzjjjuS2rRy5cqkY4lCEcvv/Bty5y7is2fuw9/ZgjO3gLoNN1N/8W0SkMWMcsziIZqm/URV1T+aqAtKT1mI8RtcKCIUClFcXExbW9uQrODVq1cTjUZ59tlnzWOrVq1i7dq1/OhHPyISieB2u6moqODSSy9l27ZttLS0mMF2+fLlhMNhuru7h2zgIkFQiOM31p7ymCp6TSQJykL8QSQSwe/3k52djc/nM3e7CQQC1NfXk5eXxzPPPGP2bGtqali3bh0PPPAAzc3N5mYsd9xxBzt37mTXrl3msPCKFStwOp1molNiXetML1MoRCaasIpeQojRRaNRFEUhEomYc6p+v5/i4mLKy8t5+eWX6evrM/dvvfjii3nuuefYsmULuq7jdrv56le/Snt7O5s3bzZ7pZFIBKvVag7/ut1uM4Hp5ptvTtqve+HChSxcuDCpffPmTfpOq0KIEyRBWYg4Xdfp7u42e6qJod0PP/yQtrY2c7u4L3zhC7z//vu8+eabZtH9O++8E7vdzvPPP2/2Sp1OJ+Xl5eTl5VFQUDAkqH7uc5/j/PPPHzLPOnfuXObOnZvUruXLlycdGx6QhRAzgwRlMaMM3ukGoKysjL179w5ZgnPRRRexf/9+Xn75ZbNXe8kll1BfX8+DDz5o9lTnz59PRUUFuq6bhSIS61dPOukkcwnO4G1F77zzzqQ2rVq1KulYOgpFZALDMDjy3vPsfe5nBLrayJ27iIYv3En+vOQPFkKIZDKnLDKKYRjmPGs4HKawsJDW1lZzs3O/388pp5xCMBjk+eefNwPtmjVrOPXUU/m3f/s3DMPA7XZTVVXFxRdfbPZ0E8F25cqVBINBM4Ep0auV3uf4GIbBR//5LQ6/9zuiwVhWN4qC1e5k2R0aVWfJHjZi9pJELzGlotGoWQSiv7/f3O0mEAgwb948PB4Pzz33nHmsrq6Oc889l/vuu4+jR4/icrkoKCjgtttuY8eOHezZs8ccFl61ahVWq5VDhw6Zx7xeryQwTbGOnR/w7j9t/ENAHsTqcLH+p29ic3mmoGVCTD1J9BLjpus6iqIQDodpa2sze6UlJSWUlpby0ksv4fP58Pv95Ofns379en7zm9+wbds2otEoLpeLe+65h9bWVt5//32zp1pTU4PNZjML8LtcLvLy8gC49dZbh+x0AyOXNUxVlWm2igQG8HccweEtwJmTPyVtOPDaE0SDgdQnLVZaPnydOad/fnIbJcQ0I0F5FtB1nZ6eHnP4Nysri7KyMrZs2WJuLWexWLj44ot59913effdd81t5b7yla+g6zrPPvvskLWqpaWl5OTkmAlMubmxfVnPP/98LrzwwiEJTPX19SlLGK5YsSLp2PCALEYXDYfY8dA/cuD1X2OxWNGjYQoXncLKL38HV37JpLYl7Otl+KYHJl0nEvClPieEMElQniYSO90EAgEURaGkpIS9e/fS0tJiHv/85z/Pnj17eP31181jl112GZWVlfzsZz8z508XLlxIWVkZkUgEl8tFfn6+uS/rkiVLWLBggTnPmgisd911V1Kb1qxJ3pnH7Xan90bMIqH+Hjp3b8FitVO4aDVWR3Jy2OYf/gmt2zahh4Lo8WPt299lk3oD5/3Lb1M+J12Kl62lbfvbKYevDXQKGpIrdqWLv+MoRz54CT0UpGjxqeTVLZm0awsxHhKUJ9HgBKaCggJaWlqGZAWfeuqp9Pf389JLL5nHTj/9dFatWsUPfvADczebuXPnctFFF9HV1UVfX5+51MYwDCoqKrjooovMAOxyubBYLNxzzz1J7UkVVBPBWUwdwzD49FffZ99zP8dis8eP6Sy9+f9Rfe5V5uP6jzTSunUTejg49Pl6lFB/N83v/o7qsy+ftHZXnfkFdj3+I6KhIBi6edxid1K48BS8lZOzXvrTx/6dvb+5D1Aw9CgWq438huWs+dOfYHPKh0aR2STR6zhFo1GCwSBZWVn09fVx9OhRc1i4oaEBp9PJCy+8YB6bN28eZ511Fvfee69ZwrC4uJhbbrmFbdu2sXfvXjNZ6ZRTTkFRFA4ePDikWIQkMM0un/3mPnY9/uOkHqfV4WL+VXfTvuNd+g/vw2K14e84ih4Jpfw55adcwCnf+PfJaLLJ13KQD/79m/Q178FidaBHgpSvXsfyu/4Wmysr7dc//PsX+PAnf5507yx2B3POuJSVXz6uXWeFmDCSfT2K4QlMiQBaWlpKUVGR2VMNBAIUFhZy/vnn89RTT/HJJ58QDodxu938yZ/8CXv27BmSwHTKKaeQn5/P9u3bzaCal5dHbm6uWZ1J6gaL0Rh6lN99+Yz4/GwKigJj/D9bedblnPxH/zCBrRs7X8tBgj3teMpqcOYUTNp1X//W1fQ07kh5zmJ3suE/35IMcDElZkX2ta7r9Pb2mgHU4/FQUlLC5s2b6erqIhAIYLfbWb9+PW+//Tbvv/8+gUCAYDDI3XffzcDAAM8++6zZU3W5XBQXF5OdnW0mMCWygi+44ALWr18/ZJ51wYIFLFiwIKldqXa7sdmm9a0WkyTY00E0nLrnC4w5IFud7kkduh7OU1qFp7Rq0q870HpwxHOK1Uqgs5XsitpJbJEQx2dKI8XgQhF+vx+r1UpRURGfffaZuQQnFAqxYcMGdu7cyZtvvmkG4CuvvJKioiLuv/9+M6AuWbKEkpISQqEQTqeT3Nxcs6zh0qVLWbhwoZk9bLFYKCgoYOPGjUntOv3005OOJbaiEyKdbC4Phh4d18+wOt0UL11L4UnJOQMznSu/ZMRRBiMawZlbOMktEuL4THpQ7u7u5sc//jFnnnkmy5Yt47vf/S5OpxO32019fT3r16+no6ODnp4e3G43+fn5ZgLT+vXrzWFht9uNxWLhG9/4RtI1UgVVr9c7GS9PiHGxuT0ULzmd1m1vgq4f+wlxjtxCjGgUZ04BdRfdQs3nrpqVUyX1F9/Oxw/8bdKcsmKzU7riHOyeWEJkx6fv0/zOsxjRMGWr1lG68mwUiyzHE1Nv0ueUly9fbrz44ovk5uZKApMQKfg7jvLGX15DxN9PNBQrxmGxO2MJXSn+v9pcHpbfqTHnjIsnu6kZxyz1+e5zsWkAQ8fqyiKrsJy16kPYXB5+/72v0rHzg3ihEwOrKwtPaQ1n/vWD2Nwy3yzSQxK9hJjGwr5e9r/2OEfeex6L3UHV2VfQ+NIv6N2/CyMSNh+nWKy4Cko5/1+fw2JzTGGLM0v3vh00v/NbIkE/JcvOpOzkc1EsVvY8/d/seuLH6KGhlccsNgeVZ17Kio2SnS3SQ4KyEDNMeKCPD3/6F7Ru3YTF5kCPhMmrX8rqr31v0qt3TVcvfPUcAl2tKc9Z7E4u+u/fY7XLhxsx8WZF9rUQs4k9y8uab/6IQE87A62HcBeU4i4sn+pmTSvB3q5RzhpE/P1Y7ZO3hEuI4SQoCzGBBtqa6T24G2duEXl1S9KSbOXKLcKVWzThP3c2yCquwHd0f8pzFqsduydnklskxFASlIWYAOGBfjb/8Ju0f/J7LDY7hq7jzC3glG/8kNyahVPdvGkt1N/NoWxT7cYAABM1SURBVDefwddyAG/lPOacfjH2rBMrB9tw2Zf5+P6/JRoaVvHL4WLu+huxWOUtUUwtmVMWYgK8/Xe30rn7w6SSl7YsL+u+/zwO79RspzjdtW7dxPvf/z8YGOihAFanG0WxcOr/dy+FC06OPWbbW3z6q+/Tu38nVoeLyjMvZeE1X095zw3D4JOHv0vji78AhVg2u6JQtvJznHz3dyUoi7SRRC8hJknvoT288ZfXJmX0Qix5aMFVX6XhC8m7bInRhfq6ePFr55nLwgazubO58D/e4Oj7L7H1v/96yGMUmx1Xfgnn/sOTI/ao/R1HOLrlVYxolOKla/HOqUvb6xACJNFLiEnTvW8HimJJeU4PB2n/5D0Jyifg4JvPjLQ7M3o0zKa/vp6+Q3uS1m4bkTDBnnaaXv4VDZfekfL57sJyai/44gS3WIjxS/1OIoQYM4cnZ+SELkXBmSOlHU+E72hTytEHAD0UpO/g7hFrgeuhIIc2PZXO5gmRFhKUhRin4mVnxnZvSsHqcFFz/nWT3KKZwTtnHlbHie9/PN4a4kJMBQnKQoyT1e5g1de+F0tCGlQ/2ep0U3X2FWZCkjg+lWsvAcuJLSmz2B1UnLZhgls0Oj0SHnFvayHGSuaUhZgApSvO5pzvPM7eZ39G12fbcBWUUHfhTRQvWzvVTZu27J4cTvuzn/Led/8IwzCIBgdQbPYhZUZTUSwWbO5sai+8cVLa2dP0Cdsf/Ec6d23GMCCvfilLvvTnFDSsmJTri5lFsq+FmAUMPUrbjncJdreTUzWf3LmLJvX6YV8vR95/iVB/N3l1SyhcdMqYC6tEAgMcfu95/O2H0aMR9j73M/Rhu0AlKBYrJSvOZumtf0lWUcVEvoSUevbv5M1v30g0ODDkuNXh4vT/9z8UzE/eW13MTpJ9LYQAoOuzrbz3L3+MHgpiYIBukF1Zz2l/9tNJ2V/40Fu/4aP/+isURUGPhLHYHGQVz+GMb90/puvbXFlUn3MFEFtn3PLha/Q17x3aY1YsuAvLOPcfnzrhwiIn4pNf/EtSQAaIhgJsf/AfOPtvH520toiZYVLmlBVF2agoygeKonzQ1tY2GZcUQgDB3k7e+c4dhHo7iQR8RAMDREN+evfv5N1/2ki6R8p6D+5m63/9FXooQDTox4hGiAYH6D/SyO+//7Xj/nmKonDGt+6nePFpWOxObFleLHYnBQtO5iztkUkNyIZh0L7j3RHP9zR+knKNtRCjmZSe8v/f3r2HR1XfeRz/nLllcg+XgEAIAeUWQbFcRPBaFbS2XlrrDWn7dHdR+9T2UfRptft4PLh2n1Ufu6u02qxa3aqtj1CX9bKPrOIVFBcVFCoX5RK5BELCPZlM5szZPyZG0kwE3MyZXzLv11/JnDnz+84hzGfO7/c7v+N5Xo2kGinVfe1HmwCkLUueVdJNdHrccxM6uGOT9m5crT7Hj89Y+5+99ISSacaAPTehfZs/0YFtG4954Y5IUZmm/qJGsT27dGjn58rvP8iXruq0MrC2OXIbs6+BXqxx/YdKtrak3+hJ+2vXZrT9/bXrurw0KRAM6VDd5q/92tE+A9RvzMSsBbJlWSofP02p9To7KzvhJAUjUX+LQo9HKAO9WH6/42QF0v83twKBjC9sUjCgosuzSS/pKr/fcRltP9Oqr7lFwWi+/jaYg3n5Gjf7tm5rx423aNeqt7VjxatHuP0kejomegG9WNW5V2rrW4vSj20GAhpw8ukZbf/4C3+oXR++0bl9y1J+v0EqGebvLPDuVlIxUmfM+7P++tS9qv94mTzPU/+xk1U961aVDT+xW9r4/M1F+ujxee1LuSYTcQ375hUaN/u2Lr9woecilIFerLRqrEZeMkcbFtXIbY1LXlKBUERWMKjJNz2gQCiS0fb7jjpFIy+9Tuufe1he0pXnJhTMK1AwL6opc+dn5H7TfiupGKmpv6hJTZrzvG4Nyt1rluujx+7s9KWm9vWFCheWaMzlxz5ZDmbjOmUgB+zduFqbFj+t5oYd6nPCSao672pfu44PbNuoz998Ti37GtRvzEQNPu1bCuV9/SU0c8XSebPVsDb952UoWqgLapZl/IsVugfXKQNoVzZinE65/tfHtE9T/Tbt+mipkq0tCuRFFSksVfmJUxUuLDnm9ouHjFD11XOPeb9ct692XZfbPM9Tc0OdCgdW+lgRMo1QBtCBl3S18t/v0LZlL7Z3OUuSFQxJVkCjLr1Ooy67wciu50SsSdvfW6zm+m0qGDhUg6fM6NEzoMMFxUo0HUi7zXNbFS4o9rkiZBqhDKCD9YtqtP2dlzpdSvVFOH/6/CPK7z9YlWdemo3yutSw9n0tv/c6ecnUOtnBaIFWP363pt72SEavxc6kqvOu0rq//FbJeMd/CysQUN/RExUp7pOlypApTN0D0M5Lutr40uNfuRKV29KsdQse9LGqI2ttOqjl91ynRPOh9mUv3ViTWpv2691//vseu7LWiAt+oNLKMQoeNv4eiEQVLirThDn/lMXKkCmcKQNo19p0QG4XN3s4XPPuHUq6CQWCZnyEbHvnRXnJZNptyWRC299brKGnX+xzVf9/wUiept/xR21/b7FqX18oNx7ToEnnqvLsyxUpKs12ecgAM/5HAfDFvs2faPOrzyjWuFN9R39DlWdfrrySL7tAQ9FCyTpyB1owktfh3tHZdmDbZ3Lj6b9MuLEmHaqr9bmi7hMIhVUx7SJVTLso26XAB4QykCPWLpyvz55/VMlEXF4yqfo172jDohpN+9UfVDZinKQvA2Dr0heUTMTTvo4VCmvomZcaNdGrcOAwBSPRtN3UwbwCFZQPyUJVwLFjTBnIAXs+XaXPnn9UbjzW3s2bjLco0XxQy+/7SYeu3xNn36bCQVUdxjG/EIhEVTiwUmOvutm32o9GxfRvd7mcp2VZGnzqzLTbPM/T3o2rtW3Zi2rcsDLjd80CjoQzZSAHbFr8dGpFrzTcWJMa1q5Q/+opkqRwQZHOunuB6j54Tdvf/W81N9TJjbcoUlSmijMu1pCpFyoYyfOz/COKFJVq8s0P6n/vv1HyPLnxWOpLhWXp1FsfUiha0Gmfpt3btfye69RUv01WICAv6Snap1yn3vqwigZV+f8mABHKQE5o3r1d8tJPhJKk2N6O9zkPhMIaPGWGBk+ZkenSus2A8dN1/oOvaevSF3SobouKh4zQkGkXpb2W10u6WjpvtmKNdR16CQ7trNXSedfqvAeWKBhmpSz4j1AGckDZ8ePV+OkqeenubZx0VVIxMgtVdb9IUalGzJx1xOft/PANxQ/u6zxj2/OUaGnWjuUvq+L072SoSqBrjCkDOWD4jFlpL1+ygiGVVI5WSeWoLFSVPfu2fCI3dijtNjfWpD2ffexzRUAKoQzkgILyIZpy83yF8osUihYqGMlXMC9fJZWjNeWWh7Jdnu8ixX0U6GL5zUAoomhZf58rAlLovgZyRPn4aZr58FLtWvWW4vsbVFpV3X4pVK4ZMvVCrXnynvQbLUsVPXChEfQOhDKQQ4LhiAZNOjfbZWRdpLiPJvzDXVr5yB3yEq3ykq6sQFBWKKxxs3/p620tgcMRygByUsXp31Hp8GptevlJ7f98vYoGj9DwmdeqtHJ0tktDDiOUAeSs4iHH66Qf29kuA2jHRC8AAAxBKAMAYAi6rwHAUC37GlT/8TJ58lQ+fpqipVyq1dsRygBgGM/z9Mkzv9HGl56QFUp9THtuQsNnzFL1NbcadYcudC+6rwHAMFuWPKtNLz+pZCIuN9YkN9akZGtcm1/5sza/8qdsl4cM4kwZAAyz/rmH5LY0d3rcbWnW+uce1vDzr8lCVR3t3bhGa5/9NzWsfV+BcFgV0y/WqMtuUF5Jn2yX1qNxpgwABvGSrmKNdV1ub9nX0OVtOP2y+6/vaem8a7Vr1dtyW5rUenCfNr/yJ71x+2WKH9iT1dp6OkIZAExiBRRMc//nLwTCEQVCYR8L6sjzPK2s+Ue58Zgk78vH3YRa9jfq0xf/kLXaegNCGQAMYlmWhp39PQVCne/nHAhFVHnWZVmd6NW0a2un+29/wUu0auvb/+VzRb0LY8oAIKm5oU6fvvCYdn6wRFYwpKFnXKLhM69VuKDY91rGXPFz7V67Qod2bJHb0iRJCuYVqGBAhaqvmut7PYdLJlplWV2fz3luwsdqeh9CGUDOO7h9k96840q5Lc3tobL+P3+vLa8t0Fm/XqhIUZmv9YSihTpz3jOqW/Gqtr7zouRJQ067UIMmn5f2DNpPRYOGKRiJtH9Z6CAQ1IAJZ/pfVC9CKAPIeasetZVoPih5X46RJltbFNtTr/V/+Z3G/eB232sKhMIaPPUCDZ56ge9tfxUrEFT11bfq48fvahtX/lIoEtWoS6/PUmW9gy9jypZlzbEsa4VlWSvq69OPRQBANrQ2HVDj+pUdAvkLntuqzxkj7aTy7O/qpL9zlFdWrkA4T4FQWGUnnKzpdz6lwoGV2S6vR/PlTNnzvBpJNZI0adKkzn/5AHy3d+MabVr8lA7tqlVZVbWGz7w2Jz9Q3ZZmWYGAPLeL7fEWfwvqIYaecbEqpn9bsb31CoYjihRzfXJ3oPsayEEbnn9E6xf+NnW9q5fUng2rtGXJs5p44/06buI52S7PV3ml/RUuLFbL3vTh2/eEk32uqOewAgHl9x2Y7TJ6FS6JAnLMgW0btW7B/NR4oJeUlJox68Zjen/+XCViaSbw9GJWIKCxV9ykYCS/07ZgJKoxV/w8C1UhVxHKQI6pfX2BvGQXfbWWpbr3l/hbkAEqz/6uqq+Zq1B+kULRQgXzCpRXVq6JP7tffUedku3ykEPovgZyTGzPri6vJfUSCcX3N/pckRmGz5ilYd/8vvbXbpAVCqmkYqSsAOct8Bd/cUCO6TvyFAXzOnfVSkqFUdUYnysyRyAUUdmIE1VaOZpARlbwVwfkmIozLlEg2HntZCsQVH6/Qeo3ZnIWqgIgEcpAzgkXFGnaHf+haL/jFIwWpMZQI/kqqRytabc/ltV1lYFcx5gykINKK0fr/AeWqHHd+4o17lTR4BEqrRqb7bKAnEcoAznKsiz1GzMp22UAOAzd1wAAGIJQBgDAEIQyAACGIJQBADAEoQwAgCEIZQAADEEoAwBgCEIZAABDEMoAABiCUAYAwBCEMgAAhiCUAQAwBKEMAIAhCGUAAAxBKAMAYAhCGQAAQxDKAAAYglAGAMAQhDIAAIYglAEAMAShDACAIQhlAAAMQSgDAGAIQhkAAEMQygAAGIJQBgDAEL6EsmVZcyzLWmFZ1or6+no/mgQAoMfxJZQ9z6vxPG+S53mTysvL/WgSAIAeh+5rAAAMQSgDAGAIQhkAAEMQygAAGIJQBgDAEIQyAACGIJQBADAEoQwAgCEIZQAADEEoAwBgCEIZAABDEMoAABiCUAYAwBCEMgAAhiCUAQAwBKEMAIAhCGUAAAxBKAMAYAhCGQAAQxDKAAAYglAGAMAQhDIAAIYglAEAMAShDACAIQhlAAAMQSgDAGAIQhkAAEMQygAAGIJQBgDAEIQyAACGIJQBADAEoQwAgCEIZQAADEEoAwBgiJAfjViWNUfSnLZfWyzLWu1Huzmsv6Td2S4iB3CcM49jnHkcY3+MPponWZ7nZbqQjg1a1grP8yb52miO4Rj7g+OceRzjzOMY++NojzPd1wAAGIJQBgDAENkI5ZostJlrOMb+4DhnHsc48zjG/jiq4+z7mDIAAEiP7msAAAxBKAMAYAhCGQAAQxDKAAAYglAGAMAQviyzCeDoOY7zM0k3SPrAtu1Zx7hvlaRptm0/nYHS5DjOmZL+VdJJkq6ybXtBJtoBchVnyoB5fiLpW8cayG2qJF1zrDs5jhM8yqfWSvqRpIyEPpDruE4ZMIjjOA9L+rGkdZIeU2rBgQcljVeqZ+tO27YXtZ0R/1FSYduuP7Vte5njOO9KGitpk6QnJO2RNMm27Z+2vf4Lku6zbft1x3EOSrpf0kxJcyU1t/1epNQNCn5k2/aOLup8XNILnCkD3YszZcAgtm1fL2m7pHNs2/6NpF9JWmLb9mRJ50i613GcQkm7JJ1v2/Y3JF0p6YG2l/ilpLds257Qtv9XKZS02rbtUyUtVyr8L7dte6JSXwju7ua3B+AIGFMGzDZD0sWO49zS9ntUUqVSwT3fcZwJklxJo77Ga7uSFrb9PFrSOEn/4ziOJAUlpT1LBpA5hDJgNkvS92zbXnf4g47j3Clpp6STlerxinWxf0Ide8Sih/0cs23bPaydNbZtn9YdRQP4eui+Bsz2sqQbHcexJMlxnFPaHi+VtMO27aSk2Uqd2UrSAUnFh+2/WdIEx3ECjuMMlTSli3bWSSp3HOe0tnbCjuOc2K3vBMAREcqA2e6SFJb0keM4q9t+l6TfSfph28SuUZIOtT3+kaSE4zirHMe5SdJSpSZ9fSzpPkkfpGvEtu24pMsl/YvjOKskrZQ07W+f5zjOZMdxtkr6vqTfO46zpnveJgCJ2dcAABiDM2UAAAxBKAMAYAhCGQAAQxDKAAAYglAGAMAQhDIAAIYglAEAMAShDACAIf4PpNUUYzFo19AAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -618,28 +556,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Classification Example Figure 3" ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 31, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCIAAAGACAYAAAB4PcMRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -666,10 +597,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Regression Example Figures\n", "\n", @@ -680,12 +608,8 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 32, + "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression\n", @@ -709,28 +633,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Regression Example Figure 1" ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 33, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAFkCAYAAAD8ADhmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXUAAAEMCAYAAAA70CbBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzsnXd8VeX9x99n3XszSEJIgDDCHmHvjYCKooh14sJVFbe2ttpqW2+vre2vtlat22qtoy5UFEWGiMjee4aVQBJCyF53nfH74yYhl3tvSBgBwvN+vVBynnOe5zmX3M95zvf5DsmyLAQCgUDQNJDP9AQEAoFAcOoQoi4QCARNCCHqAoFA0IQQoi4QCARNCCHqAoFA0IQQoi4QCARNCCHqAoFA0IRQz/QEBIJjcblcGcDdTqdzwWke549AV6fTOe04c2kF6IABbAfeB95yOp1mPcboCOwHNKfTqZ/0pAWC4yBW6gLB8ZnidDqbAR2A/wN+A7xzZqckEIRHrNQFZzUul+sO4G5gJXAXUAw84HQ651S1LwJWABcBPYBFwJ1Op7PQ5XKNBz50Op3tavWXUdWfCjwFSC6X6ypgr9Pp7F/XXJxOZwkwy+Vy5QIrXS7X806nc6vL5ZoM/BnoApQA7zidzj9WXba46v/FLpcLYCKQB/wb6A9YwDzgQafTWdzwT0ggCEas1AXnAsOBXUAS8Bzwjsvlkmq13wb8HGhDwEzyr+N16HQ65wJ/AT51Op2xxxP0Y65dDWQBY6sOVVTNIQGYDNxf9aAAuKDq/wlV46wAJOCvVfNNA9oDf6zv+AJBXYiVuuBcINPpdP4bwOVyvQe8RsDOnVvV/oHT6dxa1f4HYKPL5br9NM8pB0gEcDqdi2od3+xyuT4GxgFfhbvQ6XTuAfZU/XjE5XL9E3CevqkKzieEqAvOBarFG6fTWVllxoit1X6w1t8zAY3Aqv500hYoBHC5XMMJ2Nr7ADbADsyIdKHL5WpJ4G1iLNCMwBtz0Wmer+A8QZhfBE2B9rX+ngr4gXwCZpHo6gaXy6UAybXOPaEUpS6XaygBUV9adegjYBbQ3ul0xgNvEDCxRBrjr1XH+zmdzjhgWq3zBYKTQqzUBU2BaS6X630gA3gG+NzpdBoulysdcFRtZM4nsDFqr3XdYWCiy+WS6+meGEfARv4SgQ3YLVVNzYBCp9Ppcblcw4Cbq8YDOAKYQGcgvdb5JQQ2T9sCj5/gfQsEIYiVuqAp8AHwXwJmGgfwCNR4qzwAvA1kE1i5Z9W6rtpEUuByudbX0f83LperjICZ53fAP4E7a7U/ADxTdc7TwGfVDU6nsxJ4FljmcrmKXS7XCMAFDCIg7LOBLxt+ywJBeCRRJENwLlPl0vih0+l8+0zPRSA4GxArdYFAIGhCCFEXCASCJoQwvwgEAkETQqzUBQKBoAnRKC6NkiRNB6YDxMTEDO7Zs2djDCsQCARNhnXr1uVblpV8vPMa3fwyZMgQa+3atY06pkAgEJzrSJK0zrKsIcc7T5hfBAKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEELUBQKBoAkhRF0gEAiaEI2ST13Q9DjiyWJ5/mxyPZm0sKcwssXltI3ucqanJRCc9whRFzSYzUVL+TLrFQxLx8TkYGU6W4uXMbH1LYxOnnKmpycQnNcI84ugQbiNCr7IegW/5cPEBMDCxG/5mJ/7IYXe3DM8Q4Hg/EaIuqBBbCtZgYQUts2yLNYXLWrcCQkEgiCEqAsaRKVeimH5w7YZ6JT5Cxt5RgKBoDZC1AUNIiWqM6psC9tmkx2kxvRo5BkJBILaCFEXNIgusf1opjZHDvnVkVAlG30TxpyReQkEggBC1AUNQpZk7uryDK0cHdAkO3Y5CpvsINHWkuld/oxNtp/pKQoE5zXCpVHQYOK1FjzU/Xly3Psp8OYQryXRPro7khR+A1UgEDQeQtQFJ0ybqE60iep0pqdx3mFZFnvzC9ENky7JiWiKcqanJDiLEKIuEJxDLN6Twe+//Z5SjxdZAkWWefyisUwd1PdMT01wliBEXSA4R1h/MIeHZ3yDR9eDjj87fxEOTeXKvmlnaGaCswmxUSo4rynwVDBj/wY+3LOGPaVHIp5nWhZlPi+GaTbi7IJ54cdlIYIO4PHr/OOHpViWdQZmJTjbECt1wXnLGzuW8uqOxciSjGlZSBKMbtmZl0Zci00JfDUM0+T1rSt5e9sayv0+NFnm2q59eXLweGK08P76p4tN2YcithVVuimoqCQpNqYRZyQ4GxErdcF5yYKcXby+cyle08Bt+PGaOh5DZ2nePv62eUHNeb9dPpdXN6+g2OdBt0zchs5nuzdz47yPG33Vblcjr8FMy8KhiTWaQIi64Dzlte1LcBuh6Q68hs6MjI24dT8HyoqZlbEDtxFs8vCZBvtKCvgxe19jTReAKX16osmhX1kJGNS+DbF2ESMgEKIuOE/JKI+co0YG8jxl/JS9L0LqMqjQ/czJ3HVa5haJh8aNpEVsNLZaLoyqLBNrt+G6/KJGnYvg7EW8rwnOS5IcMZSXe8O26ZZJoj0aWap7zaM0crBVYnQUs6bfynur1vP1lh3opslF3btwz6ihpMQ3Cznf69fZdegImqLQIyUZWRbBYecDQtRPAMvygpEFUjySknSmp3NWkF2Zw6yc2ewsSydaieailuMZ33Isqnzyv2KVupevslYzJ2cDumkwoVUfru8wkua22BPu845uw/nb5gUhJhhVkrmgdVeaaQ4mtOvMM6sXhL0+WtW4omPjuxDGRzl4ZPwoHhk/qs7z/rtkHa9+vwJZkjAtiyibhuuai5nQS1SnaupIje0GNWTIEGvt2rWNOuapwrIMrPJ/QeV7gASWH7S+SPF/Q1JTz/T0zhjbS3byfPq/0E29pnCGTbbRMTqVJ9N+fVLCXuZ3c+fKVzniKcVrBgTYJqlEqzb+M/Ih2kQ1P6F+Dcvk0RVfsOTwXjyGHwuIVm0kO2L5dMKdJNqjAXhm9Q98vHsTbv2o+DsUlQFJKXx06U3IZ2FqhE9Xbua52T/h8QfvBTg0lbfvvpaBHdqcoZkJTgZJktZZljXkeOcJm3oDsMr+AhX/BasSrArAB/4NWAXXY5lFZ3p6ZwTTMnl977/xmUcrIQH4TB8ZlQdYmr/ipPp/Z+8PHHYX1wg6gM/SKfW7eW7bVyfcryLJvDzyOt4eczNTOw3iytQ+PDv4CmZfcl+NoAP8YeiFPD30QtrGxCEBze1RTO89jPcmTj0rBd00LV7+fnmIoEPAn/3l+cvPwKwEjUmjmF8kSZoOTAdITT03V7SWWQiVnwHH2mFNsNxYlZ8gxd5/JqZ2RsmoOIDH8IRt85k+fsxbzPiWY0+4/9nZ6/FbRshxE4u1hXtx6z6i1BPzF5ckiaHJqQxNjvw7KUkSN3UfwE3dB5zQGI1NXlk5bl/4IiYAmw+KcoNNnUZZqVuW9ZZlWUMsyxqSnJzcGEOeenwbQdIiNHrAu7BRp3O24DU9SHVsKLoN90n17zF8EdskCTxm5PbzkShNq9N/XviyN32E+aW+SMfzAY4+TnvTpEN0KroZ+qoPoKDQN773SfXfPS6y/TdOjSJeOz8/90jERzvol5pCOMuQpshcNbhX409K0KgIUa8vtqF1NEYjRV/faFNpLEzLPG4+kWg1motajccWpsSdJmtclnLJSc3hvm6XYJdD35AcssY9XSce1+3wbMPj9/PGytWMe/NtBr/8KnfO+IL12TmndIxnrplIrN2Ophz9bOyqQkpCHPdeOPyUjiU4+xDeLw3AdM+GkieB2jZkB2i9kBI/QIponjm32F++g29z3ifLvRcJiZ5xg7iizW0k2VPCnm9aJp8d/JLvDy9EkWQMy6SFLZEHut5Dx5gOJz2f7w9t4rntX2NYJpIUCIm/q8tFTOt0wUn33Zh4dZ0bP/6U3fkFQYm5HKrK85Mv49Lu3U7ZWIdLynlv6ToWbt+LpihcNbg3N47oR4y9cfPVCE4d9fV+EaLeQCzfOqzyV8C/FeQ4iLoZKeZWJKlpfFl2l23mv/v/ht86aquWkLDLUfyix99JtLWMeK3H8JDjPkSUEkVKVOtTOi/dNNhRmoVumqTFt8OhnHsP0BlbtvLMDwtxh/FMiXfYWfnAfaLghSAi9RV1sWvSQCTbYKTEd8/0NE4LlmUxM+vtIEEHsLDwmh6+z53BDakPRrzeoTjoHHtilZAsy2JPeQ5FvnI6xbQm2REf1K7KCn0TTn7VfyaZsXlLWEEH0E2LjYcOMbRdu0aelaCpIURdUEOZXkyxPz9sm4XJttI1p2XcPWU5PL3lPQp9ZSiSjN/UGdEijSd730iU0nSSVIXLhV6NBGF9ywWChnJu7TIJTisWxzHFnQZTXbGvnEfXvUaOuwCP4aNC9+AzdVYW7MC15cNTPt6ZZEKXzkHJuGrjNw36p5xak5Xg/ESIuqCGOLU58VqLsG0SEr3ij2vOazCzsleEDS7ymTrri3aTVRn+zaEuin1uXtuxhKsXvM3Uhf/h471r8YRJs9vY3DZwIFGaFpL5MUpVuXXgQOIcjjMyL0HTQoi6oAZJkri63d1ox2z6Vm+UTmw19ZSPub5wDz4zvOAqksLO0gMN6i+nsoTL5r3O6zuWsq34EBsLs/m/zQu47od3KPeHz8rYWLSIieaLaTcxsE0KNkUhWtOIsdm4d/hQnhh34lG3AkFthE1dEET3Zv25s/OTzM55nxx3BiDRo1l/rmhzOy3srU75ePG2yOXXJKCZGtWg/p5eN5siXyVmLVOR2/CTWV7ImzuX8qu+ZzbveMfmzfnslpvIr6ig1OulXXx8RJOMQHAiCFEXhNA1tg+Pdn8Ow9KRkJCl0yc6V7YdyaqCnWHTAUiSxKDE+vtul/u9rDiSESTo1XhNgxkZG8+4qFeTFBNDUkzoA23JngxeX7yKffmFtGwWy50jB/Gz/r2OmzzMMM3Av5XImX7eI0RdEBFFOv2/HoOad2V8y/4syttUI+wyEjZZ5enet6A1IG1vpe5DjlirCCr8Z3eemHeWr+WVRStq3B6L3R6e+W4hy/Yd4O9XT0IKI+ybDxzi798uZlNmoCj18C7teXzKOLqniDz/5yvCpi44o0iSxG/SpvKH3rcwuHk3OsW0ZlKbobw57JcMT2pYEYoWjhii1chBSWkJp958dKoorKjkXz8uD/Fjd/t1fti5h41Zh0Ku2ZiZw8/f/JwNGTmYloVpWazYc4Bpr37CntyGbzALmgZipS4440iSxOjk3oxOPrnkX4okc3/aWF7Y+mNIRSOHovFo7/En1f/p5IddeyOaWDx+nVmbdzCwfXBys79+vSisb7vb5+eFOUt59c6rTstcBWc3QtQFTYrbuw6jxOfm7V0r0GQFCwsJiacHTmJ0q85nenoR8fh1jAhxABZQ4Qs2HVX6/OzMyYt4/vL0zFM8Q8G5ghB1QZNCkiQe7T2eW7sM5c2dK1mbd5AEWwwqGn7TQJPPTk+TYR3bR1ypx9g0Luh6YukXBOcfQtQFTY4Sr5vrv/+Q3MoyKqtqi648nMlb21fy6cRpRNVhdz9T9GiVxNAO7VidcRCvfjQYS5VlmkdHcUmvYC+gaJtGzzYt2ZZ1OKQvCRjV/dzOkyM4ccRGqaDJ8ad1P3CwvLhG0AEqdT/pJfm8tGXpGZxZ3bw8dQpT+qZhVxVibDZsisKozql8cteNYX3Zf3vl+LCVjKJsGr+8bExjTFlwFiJS7wqaFLpp0ufTf+A1Q1MPAMRpdjZNfayRZ9Uwyr0+DpWUkhQbQ/PouoOvNmUe4h+zhUvj+YBIvSs4L7Asi10lR8hzl9M1LolYzYZZR2Ky8kbyVd+ae5g3V61ha+5hkmJiuH3wQC7v2f24QUQAsXYb3VrWT5T7d0jhgwduQDcCBUQUWbx8n+8IURecFZT5Pawu2ItlWQxt0Zl42/Frj+4pyef+pV9wqLIUVZbxGQajWnUgVrVR5POEvSa1WcKpnnoIc3am8/h38/AZBqZlcbCklJ1HjrBg9x5emHJ52CCik0VVhJgLAghRb0JU6CWsLfiO3eVrsckOBja/hF7xoxscGZpVmcvCvBUU+UpIi+vC2OShRCmnL4Pgu3t/4q3dP6LKCljgtwxu7TSaB7pfHFEAS30erl/wHqXVSbqqrC3LDmfQOqoZHsMI8VWPUjQe7Xt6bc1eXec3c+aH5E53+3UW7t3PsswDjOkoNjEFpw8h6k2EAm827+x7HL/pxbACYpZduZt1hXO5teMzKGGKN4fj84Nz+SJ7DoZpYGCyqnAjHx2YxZ/7PEa76PA1Sk+GOdmb+PeeRXhNHa+p16Rs/2DfMpLtzZjacUTINaZlMX3xjKOCXgufaZDnKWdSak++y9wZeFAQKId3f+8RXNWpT73nllNWynd70in3+Ric0obR7Tsc13yyZH9mxHMq/X4+27xViLrgtCJEvYkwM+ufeIwKqGVP9lseDrn3sK5wLsOSphy3j11l+/gye25QKlyv6cNn+vjrzjd4ZeAfT7np4I3dC2tynZsmGGbAjKAbJs9unkOMEsXk9v2Drnl12zLW5WdF7FMChrdK5cmBF7E8NwNFkhiT0okEe/0zPr6+djUvrV6OBfgMg2hNo12zeD65ZirNoyL3U+HzhU0oVk2JJ7xZSCA4VQhDXBOg1J9PnicDwmwQ+i0vawq/q1c/3x1aFDa3uQUU+0rYU153lKJhmazM38kXB5ey5MhW9AgeKDX9WhYHKwsAMK1qQZdq/piAc9Msvs/ZVnONzzB4e+fKOjdDZUkm3ubgUEUpc/fv5v9WL+Hn33/Bt/t2Uh9vr2UHM3l5zQq8hoHPCNxDpd/P/uJCfjG/7s9yQJsUDNMM2+ZQVcaKVbrgNCNW6k0At1GOLKlghS824THK69XPYU9+xJJ2kiRT4CuiGx3DtmdW5PHLDW9SqXvRLQNVUtBkhX8MuIceceGLKUuSRIxqp0L3YhrVgh6M19R5fvt8Lk7phSRJ5LpL61wJQ6AsX4XHz/ULP8Zr6FjAwfISdhTOYcHBPbxwweQ63zjeXL8Gd5h6on7TZFX2QXLLy2gd2yykXTdNduQfIaGZg7zyCkzDAitQZEQC7KrK9f3qb/45l8g5XExpmYf2bZoTE9106sqeiwhRbwIk2lKwrPCrQ5BoE929Xv10jGnH3vIDmIT2ZVgGbaPC19DUTYNH179Oka+85pHgQwcDfrnhTT4f/Xui1fBf9J+1G8TnB1bjr2Plnecuo9TvJt4WTZzmQI94rwH+MuRynlg8H48RLMyVup95mbtZkXuAUSmRV8zbjoTPqQJgUxQOlpaEiHqZ18sNn33KwZISKvz+wPNJAVWS0CyFTs2b868rJxPfxErWZWYV8McXZ5OZXYimyPgNk8sn9OYXP78QVT07UzI0dYT5pQmgyXaGtrgCTQoVTk2ycUHyDfXq54qUCTUbi7VRkOkQ3Zb2ETZKl+Vvx2OEl2XdNPnh8MaIY97f/WJSY5IIt0qvxsKqydmSYI9iSHJ7lDArbRmJ27sNQUWLuBJ3634+S98ScSyvoddp93brOm2bxYUc/9OiRewrKgoIejUSyIrMzYP78+2dt9K5RWLEfs9Fiksrue+pj9iTkYfPp1Ph9uHz6cz5cRt/fW3emZ7eeYsQ9SbCha2m0b/5xaiShl2OxiZH4ZBjuLr9r2hbz5V6u+gUHu56GzZZwyHbUSUFh2ynTXQrftvzvojXZVQcxh2mchGAx/Sxuyw74rUxqp0PR93PkBapYdslYGBiatBK//+GTSbBFoVDOfqiGa1q9GuRwm8GXEi53xvRdm4BxV53xPmszMpCq6O8XIym0eYYUffqOt/s2lljf6+NzzD4ZtfOiP3VZl1GNg9+8DWXPf8u97z7Jct3n92ZFmd9vxmf3+DYj9rr0/lx+S6OFJSdmYmd5wjzSxNBlhQub3Mv41veRJZ7F5pkJzWmV4N91EclDWZg896sKthImV5B55hUesV1rdMGnWyPx6FoYYXdJqm0jmpe55g2ReW5wVO5/qc3KPW58VsBcVQkGYei8bt+k4PObxsTz/eT7+XTvRuZn5VOlKpyXaf+XNY+DZuiMLhl24hpbKNUjbFtI2c89Op+1DqiMjvEhQYvlfnqjlItckd+iFTz4fIN/HPeUrz+wB5AZkEx6zOyuWPMYB6eOOq4158JVq7fj9cXuvcAoKoK29IPMX5k6N6D4PQiRL2JEa3G0b3Z0JPqI0pxML5lqH94JMa37MuL6V+Fb5Tg0taDj9tHsqMZn4+7n3f3LGVOzlZMy2Rcqx7c0+0C2sWEPhTibVFMTxvJ9LSRIW2d4xMZlZLK8kOZeGutnmUkHIrK9d36RpzHwJQ2YVfcAHZF4dKuoTVTExwONEUJGqs27eLjI44HkF9WwT/mLsGnB1/v9uv8Z8k6pgxMo2NS3Q/GM0F0tK3O9ijH2ZcN83xAmF8EJ0206uDPfW/DIWvYqt4MNEnBLms8mTaVFvZQG3Q4khyxPN5nEgsv+TWLLn0C14CfhRX0+vD6hT9jUofu2GSFZpodh6LSMzGZmVfcQpwtsndGcnQM16X1JkoNXu/IkkS0pnFzn34h16iyzB0DB+JQw2RMVFUeHj4cgBK3h/dWrec3X83l5Z9WkFNSCsC8rbur/GNCMUyTbzbsqPd9NyZXXtwPhz28cEvAoD7hTWqC04tYqTchDMtgf/kuPKaH1OjOxGmnP89JNcNa9ODjUb9lds5q9pYfon10MlPaDqeV4+RXmKU+Dy9u/Ykv9m/BbfjoGpfMr/qO46K2kfcKolSNf42fQoG7kn2lhSRHxdAxrn5zeWbcRfh1k6937UCWJUzLpG+r1jw/8TISHOEDjx4dMZKDJSXM3b0HSQqImmlZ3DFwED/rmcaGgznc9b+ZGJaJx69jU2T+vWwtz0y+iDKPF3+EVb5umhRXHt24LXN72XIgF5uqMKBjmzOa82X0kC4M6NWOjdsP4vEGzDCSBHabylMPTULThPfLmUCk3m0i7CjdyPsZr2JYOhISuqUzqPkobky9u8F29bOBI55yZuzfyPaiXFYczqTC76+xtQNEKSq/G3gJN3UZeGrHrahg+jdfk56fjyxJmJZFvMPBOz+7mrTk5KBz/YaBKstB+w0ZxUUsycxEk2UmdOpMq9hYfIbBmOffpMQTmtbArio8O3kif/xyQUjR6WrGdO3A67dfxctzlvG/xRvQVAXLAkWWcE6dyMT+oSahxkI3TOYu2sbn362npNRNWtfW3HbtCHp2De/+Kjhx6pt6t1FEXZKk6cB0gNTU1MGZmWf3rv65Ro77AP/c9Qf8VvCGnSbZGJZ4AVNT7zql45XrbubmrGVF/nZkSWZQYjcmthpEkqN+ZpbjsTh3Lw8t/xzTsqqCgCKUeVNtrLnql9iVU/PQsiyLy//3AXsLCtCP+V4oksRdAwdx+8BBfLNtJ++sXkdRpZtYu41bBvbnoTEjsIcxvwB8v3MPv/lqLhW+0OAwTZHpmZTEjgN5IV4k1T6iUYrKpN7d+X5jekihaYem8tZ91zKgUxsETZuzStRrI1bqp573M15hfdHysNGgqqTxpz6vE63GnJKxDrkLeWDNv6gwvMekFJAY1aIPv+9zA9HqiQfYlPm9jP7mxZoMi4GI+/CiHqvZeW30tYxudWrqd67NyeaOmV9S6Q8TmWsFhF1CQjMkfP6jAVAOVWVA2xTev/HasF5C76/awN8XLIm4AauYQO3nce1/RhMkC2ymhGGG/66O7J7Km/ddW487FJzLiCIZ5xH7K9IjhverksZhTzadYruzpWQLsw/N5rDnMEn2JCa1nsSghEENStL17LaPKPFXhOResSyL5QXbeWLju7wy5P4Tvpc5B7fX/2QLDleU84fl37M4ez/Rqo0RKe3ZlH+IbYWHcSga13btzaMDRqNIMkWeSpKjY3BEqFG6LS8vYt4WJKrcJC10KeBhUL256dF1NufksvpgNsNTQ1MidE5KRFPk8KJugWkc47EgBY5jHn2cRdBzALYeDK1TKjg+lmWxYt4WvnzrR/Kyi2jftSVTH5xI/1Fnzpx1KhCi3gSIUZpRyJGwbYalE63G8m3Ot3xz6Bt8ZmBJWOwv5t/7/s345PHcmHpjvcbJ95aQXpYVNpmWJIFlGewszWJXaRbJ9gRmHFjF0iO7iFbsXNN+KBe17h02YrU2h91lIXnQAwoX+uDxmwa/W/I9PsOsSR2wvbAqxF8Cr2Hw/o4NfLJ9C7puocoypmVxfc8+/H7k+BCzTXNHFKosh3dNPPaWpeBjbr+fWdt2kFdajm6ajOyYSuu4WABGdU4lzuGg0hc+6laKlPesagxFlpCMcOnaAsQ66nYtFITnzT/OZN7HK/C4A9+JIzlFbFuzj9ufuIKr7x5/Zid3EgiXxibA2ORLsMnh3fQSbclosoNZObNqBL0ar+llYd5Cst2RIz5rU+yrQJXqFmUTi0WHt3HN4hf5777FbC/JZm3hPv60dSYPrHkXvxl+M7CaLnFJxKhHReroS0SwpEUpGlGWg0pdD58LJrCoRvdaVPp0fKZBpe7HY+jM2LmVe+d9HXLJxV261JGBhprVMyZYEsFvRyZ8uWEbT89ZgGveQi5+7T88/d0CTMtCliTeu+06WsXFEmPTUGWZGJuGIknI/joSJFTdg6bI9GybHDZPu11VuW5kZL97QXj278hmzkfLawS9Gq/bz7v/9w3F+eduNKwQ9SbAkMQxdInpGSTsqqTikKO4vePDrC2MvIdhWAYrC1bWa5w2UYnoVvhlpRVISIgiyXybvZly3YOvloC7DR/birOYebDu/ZSL2/YIWkFLUm1hB1WSaemI5f600ZRV1v2AqBbFoD+Ax9BZdeggOwqC326iNY2XLrsch6oihevDpCrrIiCBpVQJe9Vxw7Ko8Pmp9PnxGQZfb93BW8tXA9AhMYGFj9zFC9dO5lcXjeFPV0zk2ckTiYlgCgKQ/SDrkGCL4uaxA2gWZcdWK0lWlE2lS+tEbr3g+MFdDaWs3MN/PlnGjfe/zfX3vsW/3lnYpML+F35lvTuQAAAgAElEQVS5Fj2Ct5EsSyybs6mRZ3TqEOaXJoAiKUzv8gSbilezvOAHPHolPeL6Mbj5BSzNX893hxZSocsokopNMZCloytMExOPUb/CDdGqg8vbDGN2zuqwK24TCb9pUq6Xh7Xxe0w/n2WuZGqHyNGqNlnhw/G3csdP/6NC9+EzDRRJwi6rvD32Rjo3S6KZZmdbQR6vyWsiRnFiAboUWFIfixTw/16WnUlai2A3xYs6d+G7abfy6qpVzNyxPZCv8hj7dnUfWGDJgY3OcCt8t1/n7ZXruGfkUBRZRpFlxnXrxLhugY1dn27w3pJ1ZOQXB9vbLcA4Ol5eSTl/+nwhz982ma0Hc/lx6z4cmso1I/oweXBPbBG8bk6UopJK7v71BxSVVOL3B+Y1c85G5v64jbf+Po12KWdfdGtDKS9xB1Ijh0H3m7grQt1PzxXESr2JIEsyA5uP4MGuv+NXPZ9lQsspPLv9NWZmzaVcr8RCQrcUKnUbRi2hc8gO0uLS6j3Og92u5ILkvshVkmNZR1fpdtnGzR3G12RUDEep341lWaw+ksFn+9ez5PAejGPMJ93ikpk/6X56xadgGBaWKVPpN/jd6rnkeyqQJIkuCYkR87sAVYIe5njVqluRZGwR5tkxoTl/v3QSH1x7HQkOB0r1lqgJkh74U10TFfnohmk4vH6dEnf4h6ZNVfjw3hu4ZkhvHJqKLEkBDxs9sEKvjcev886Pa3hg0ihm/HoaHzx6I1cP73PKBR3gP58sp7CookbQIeCPXl7p4/k3F5zy8c4EA8Z0JyomvMlSsyn0HtalkWd06hCi3kSZmTWPAl8xfqu2OgTEx2sEXvkVFBK0BAYkDKh3v5qs8oc+t/DRqCe5rv0FpMa0JtmeyMik3rw46B5u7Tg+ogeJBHSJbcUl81/h3uWf8JfN83h01edc8N0L7CjODTr3Fyu+ZmPBIXQzkO7WaxjsKsnj+gXvU+JzE6Vq3N1nCFHhzBc1ppYIYmsFzCaXdOpa572ObJ/K6nvvIzk6JiDmRuBayZKQqgQ+WlWJtUfeqLSAmDraYx12nv7ZRax1PsSSp6Yjey1kI/zMN2UcqnO+p4rvf9qOboT+G1qWxcatB3F76k5gdi4walI/mjWPQTkmIlezKXTs2YaeA8/dClXC/NJE+enISnQrnM1QwrQkZFTS4npyT+d7kKWGP9tbRyXyUPcreShM23Wpw/j8wGo8x5TGs8kaWwsLyHd7gjxoKnQfty15nx8nPUqsZiejrJBluRl4jzHxWIDH8DNj7ybuThvBY4PGYFoW72xdiybLGJaFJsvohkVlBHspBGz0d/cbQuuY8BkEc8vLWJudQ4nHQ4LdTqI9ijyrPGhFXuPO6Da4YXBfPt2wFe8x1ZI0WebSnl0jBiXVRpYlom22qn4juKfWkT3yVOKt87OT8Pp0os5xjxvNpvLCV7/g/x56n10bMlBtKn6fztAJaTz2z2mnvBZvYyJEvYkSrtZoNZqk8mTaE3SNPTVBO8fycI9LqTR8fJu9AZusVDkkSlyY3I+vMreHdYnUTYNvD27lxs6D2ZCfjSJLhCnAhMfQWXp4P3enjUCWJJ4YcgEP9h/B9oI8ojWNXoktWXUoi5/P/pJKPfxn0CepFY8PGxtmDia/mT+P2enp6KZZUzZP8UX+giuSxJguHdmSc5jtuXk1Nv5oTSM5NoY/XHphPT6xAHZNZXDndqzZczDkE5IliQv71v1mcapI65rClp3hPaKaJ0QT36z+BbxLS90UFpST3DKOmAjmjjNFYqt4npvxMEcOFVOQW0zr9i1ISDr3UwULUW+i9GzWhfXFW8O2ORQ7nWJO3+ulKiv8rs9V3N/tYjYUZvJ55gaW5WbyecVWfBGKUVcafrYW5wCDidXsNTb7cMTbgkUlRrMxtPXRoJ9hKe2I0WxhRV0CJnfpEXK81OPh+k8/ZXdhQUibZVkR7eZ2VWX7ocPsyytEsgLRn7IkIVnwjysnkRDVsOjap66ZwC0vfYLb5695qKiyRIzDzi8mj2lQXyfK9Glj+PUzX4TkSnfYVe6dNhZJktB1g9Xr9lNYWE6nDsn0SmsTtLotKank78/NZu3a/Wiagq6bTJiQxiOPXorjLEvJm5ySQHJK4yW/O90IUW+i3JA6ha2l6SG+6XbZxo2pV6KcgMmlmmJfJe/vW8ScQ5vwmzrDErtwd7eL6BzbKui8RHssX2RsYdnhA3gjiHk1NlkhJSqQd3xs605hV/MQqHA0tXP/OvuSJYnXLp3CzbM+w19t37eO/u/F1csYn9qJnlWeLz7D4JpPPmZfUVHY/iwJiCDshmXx76VrqayV18XEotLwc8/HX7Hkl/fUy/xSTZfWLZjxq1t4ff5Kftq2D1mWmNivG9MnDqd1QuOsIgf0bo/r11P4++vzqXT7kCQJWZa477YLuGRcL7Zsy+KpP36BoZsYpokkSbRuFc8//jKVpBbNMAyTRx/5gEOHitF1s2bD9ccft5OXV8o/nr+5Ue7jfEWIehOlc2wqv027n9f3fEipvwxZkpGQuKH9FC5pfcEJ91vsq+TW5S9T6C2vyZq48PA2luWn89rQu+id0L7m3H1l+Sw9vC/ENh4OCYlrOgTE2qFqPDfsCn696ht8hlEj8FGKxsVtuzOqVcc6+zpSUcG/Vq3EH2azD8Bnmry0ZjmvT/oZAHN2p5NTFtkH29JACuPhpikyrWNjKSiuCHud3zCYv2MPU/r2rHO+x9I+KYG/3DwJgKJyN8WVbhKi62/yOBX06NqKF1xT8fr8SEh06ZCEqioUFVfwxO8/w+0Ofgs6mFXIr5/6lHffuIsVy3eTn1+Grgd//j6fwfYdOaSnH6J79/D1bgUnjxD1Jkzf+J68OuhP5LgP47P8tI9qc9ww/ePx3r5FQYIOgZWp2/Dx7LaZfDT6kZrja/MPcLz9JlWSUWWZp/tfRkr00QpBl6WmkdqsOW9sX8HWokMkOWK5o/sQLm+fhiRJFHoqSS/Kp7kjiu4JSTWv/h7dz9UzPuJQeWnA1hJmfNOyWJWTVfPznPR0PHodDx4JTA0Uf2Cz0qYqmKZFr1bJ9EpK5qMjm8NeVunzsy+/sO4PIAK5RWX8/uN5bNifg6bIWJbFDaMH8Mjk0ac1h/qBnEL+/Opc0vfnBcYFbpoyhG6dWgIwe+4mjDD+3YZhcvhwKdt2ZLN6zb4Q0a85TzfYuOGAEPXTiBD1Jo4kSbSNPnW5refkbAwS9NocqMjniKeU5KoUvHZFrdOzplVUHJe17cWNnQbTqVmLkPbezVvz8uirg455DZ2nls1n1r4d2BUV3TJpFR3LaxOupHeLVszenU6Rxx3wYa/jgVLbFVKp7VUSLs2MBchgi5Z5YvRY4u0O0lq1pEfLJD5cvRGHqoZ9KERpKinxDTeZlHu83PzCRxRVuDFMC39VmbtPlm6kuNLNMzde0uA+60NRSSX3/u5jyio8WBY1ZpOPZq2hwu3jkdvHs2PnIXwR6pKalsW+/fk4HFpVLqDQcxRFxmYXsnM6ifiNc7lc7V0u1ycul2uJy+V6yuVyabXaIhSkFDR16srdIktSUGqA8a27RfRZj1I0/j7kKp7sd0lYQY/Erxd/x7f7d+IzDcr8Xty6n4zSIqZ+9zGHK8tZmLGPSr+/zoAgu6JwfVqfmp+v7NmTaK3q1/tYj8KanOYKtw4cyO1DBnFV3170aJkEwOQ+oZuutbm899HqTH7dYE9uPoeKSuu85utV2yn3+EJS7Xr8Ot+t20leSXmd158oX8zdgMfrDxFjj1dn5ryNlJZ7aN0qHkUJ/9kqskyLxBguvrg3Nlv4zVDTtBgzJnLFKsHJU9d73H+ARcDDQArwk8vlqv72nbue+YKTYkiLLhEFM0qx0TrqqBdBvC2KJ/peTJSiHXOexrjWXRmW1LBfo9yKMuYd2I3HCH2w+AyDD3ZsIKp23paqnCy1RVqVZdo2i+fu/kfTUl/UuQs9WiRhV6pMU1XCLgHxdhsDk1rTNSqRBZv28OCns9iUdTQIqHl0FC9eNxmHqmKvysviUBUcmsorU68k1m7HsizeWbiGsc43uOXlT5jy3Htc84/32Z4VPmXuom17Q4phVKMpMuv2HnU33LY/l6de/5Yb//Aej78yi43p9UvOFo5l6/bh84d/C9NUhe27DzHl8gGoSngTnqxIDBvSme7dU5gwIS3Ey8Xh0Jg2bRRJTcBt8GymrvegZKfT+UbV3x92uVzTgMUul+tKImcBFTRxpne9mJX5u3EbwV41Dlnjwe6XhnjVTOsyjC7Nknht5xL2lB4J2Ma7juDqDv0jBngcrizjkz2b2FmUR+f4RG7qOpB2sfFsys9Fk5Ww+V58psGSnAx+O3Acc/bsplIPrNYt86gZRpLgwUHDmT5wKDHa0eAZVZb53/XX8crKVXy0ZTOlXi/t4+N5ZMQItmTm8uXGbTWl5rKKSli6L5M/TJrAdQMDq/0J3Tuz4JGf8+XGbewvKKJLUiLXDuhNYkw0AG8vXMNbC1YFCfXu3ALufG0Gn/9qGu1bBLvTOSKscqtvwqEFvrZfLtrMC58swus3sEyLfVkFLNu0j2mThvDAtQ13f4xURBqq0kDYVDp2SOKuO8byzn+X4NcNTNPCZlOQZZlnndfW1CX99eOXM2BgBz77dBX5+WW0a5fIzbeMZOTIcztX+blAxMpHLpdrGzDY6XR6ah27GHgDiHE6nSe00yEqH506LMtiS8k2fshbRKm/lLS4nlzcagKJttObcGlL8QH+snUmBysLkCWJKMXGg90v5cp2xy3Kclx+zN7Dg4tnYlgWPtNAkxUUSeJvIyaT5IjhngUzKfeHD1Mf364T/514HQ/MmcVPmRlVpfACRKkqvx45hp8PqH9Gwy05uUz774yw9nK7qrL0sXuIc9Tth+7x64xzvhHk8liNKktcNawPzusuDjr+w+Y9PPW/ubjDXOPQVH768324PX6mPP7vwMr6GAuXBFw0tDt/uu/yBm2qfrdoG8+//QMeb+i4zWLsfPvOAzX97c84wqzvNnL4cAk9uqdwxWX9aZEYW++xBA3nVFQ+ehsYDvxUfcDpdC5wuVzXA8+d/BQFJ4NlWby59x3WFm3Aawb87TIrDvB97kJ+m/YYXWI7n5JxKnUvK/N34zN1BjTvSCtHPFgS93a7hOa2aBJtsbSJbn5Sfu/VlPm8PLj4K9y1zCt+08AP/GblbBZeeW/EUHmbrHB91z5IksQrk6YwY/tW3tm4jnx3JV2bJ/LQ0JGM69CxQfOZuXF75BJ0ssTCXfu4qn+vOvvYm5sPVOdf56hpxwLdtFi2KyPkmvF9OtOvQ2s2ZRwKWt07NJUnr5lAlE3jmyVbA2awWmuy2u89P63fw8ufLuaXN4+v170CTBzdk5nzNrJr3+Ege74kwV3Xjwp6QHTqmMyjD0ysd9+CxiOiqDudzhciHN8AiH/NM8yG4k1Bgg7gt3T8ls6/dr/OiwOeO+n8FV8dXMM/tn+LKslYWHhNAwkNCGQT9JsGQ1p04m8DpxKrnXhd0mq+O7Az4vamhcU3mdv517gpTP9hZrBd3QLDNPnrysWMSEklKSqGG/v048Y+/U5qPsVuT01U57Hopkm5tx6JrSSoNPRAAFOtm7MkwASHFmryUGSZ1+69mk+XbuLjpRspqfDQrU0S9106guHdUgEorfDi1fWApgdq61FVbS/wwDBMvly0mfuuHU1UHWaV2miaQre2LUjfk3vUdcUC2bR4939LuXh0D5onnJpat4LTh8jSeI6y4PCPQYJemwq9kr0V+0+q/zUFe3l++7d4TT8VhpcK3YfHsHAbftyGj3Ldi9fUWZO/j8fWfXxSY1VzuDJcKbsAXsMgp7yUce06Ma37AJTqpW9VJSJDtzhcUc5TS+afkrlAoAxddBjRDYxrcaCgmHnbd+PTI0fL/rB1byB4qvbTqtrGr0hcM6x32Os0RWHauEHM/t3PWfqXB3j3oak1gg7Qu3PrQH6c2g+Lqr9bcmCKqiyTlVdc7/stLqlk3qLtWD4TxW8F/uiBIiA+n87M7zbWuy/BmUOI+jlKqT+yW5wsyZTrJ+f29vbuH4KyLJrhik0APstgU9EB9pXlsbMklw/2ruLzjPUUesNHWdZFt4QkotXw2f+iVY20xEAagtn7dmEaIBkSkikFUuEioVsmiw7sp9x3alLDTu7Tg2i7FlxGzgKp6iHy0epNPDVzHmP/8RZbsnPD9vHZ6i3hO5cCQVtXDgkv6sejc5sW6KYV6lNf62e/YRAfW/83qO3ph7Bp4T1bfH6Dlev2ncBMBY2NiAI4R+ke25WsyhwMQleJuuknNSq0qn1D2FMW7G5nRQrPJPAQeWztDDLLijGtQObCP236jl/0uog7u42s95gXt+tGlKpRqftC3KtUSWZKx0AxjxJv5EpNiixT6vMQa2t4aljLstick8s3W3ZS6fMztmtH/nf7VH715Rz2HClAlSUqqiIlTcvCtCx0nwn4+fn7X/LTr+4hupbnimGaFFe4I45nU5WwFaLCUenxMXvldhZt3EeUTaVlQiwOm4onXCBQ1Wq9R2pLWjavv/ugw66FDRiqJjrq3E63e75wXFF3uVytgL8AbZxO52Uul6sXMNLpdL5z2mcniMilKRNZnL8M45hEWZqk0T+hL4n2xJPqP94WTaleW5Cqv+2hwu43dTLKCvAaVpAovLzjR7rHtWR0q/pVkdFkhU8m3sK0Hz6mzOdFN01UWcahqLx30Q01q/gu8YlsLcgL24ciSSRHN9zu69F1pn8yk/VZOei6iWXBnB3pJMfG8MkdN1Bc6eHxL+awzR1+XMM0mbN1F9cOOhrU9MWq8Fkyq3FoKgnRx19J5xWVc9tfPqLM7a0RcU2RMf3hA7sAZAlumDgwkGGynnsr/Xq1DZh0ws3VrnHFJSe3RyFoHOpjfvkvMA9oU/VzOvCL0zUhQf1o5WjJL7s/TDM1FofsIEpxoEkafeN7c1+Xu066/xs6jMQhH1111q5reiy6aeI1TEwruE5zhe7npe0/NmjcLvEtWHrVA7x6wdU8NfhCXhpzJSuvfZjeiUdTHTw6eDRRYTIfRqkqP+87uM5yeuFYuj+TYS++zoqsLLyWiaGAqUCFz092cSlPfTOf91asZ+ehIxH7qPT52Z0XnLb3w6UbsKoDoMJw86j+wSkKIuB6bz6FZZVBq3K/bkTcxA3UZ4Vn357Ps2/PJ5Lb8rGoqsJvH70Mu00Nytljt6v07Naa8aPrjp4VnB3Ux/yS5HQ6P3O5XE8COJ1O3eVy1Z1HVdAo9I5P45VB/2RnaToVRgUdYzqQbE86JX1fmzqcJXk72Vx8ALfhQwI0SUK3jmqUKsnIkoyhK5g1+WBqr/QsNhflUOCpoIWj/qtnRZYZ1yayS+bEjl351ZAx/H3NUjQ54JmjmyZXdknj0UGjGnSfmUXFPPDlrKM+7bXN50rAi2TpvgPIfutoTdQwi1mHptI2IS7oWF5pOVVZe0PQZJlL+x4/XL6kwsO69KyQlAFIEhYWMsc8M6qfqGYgvH/BqnTGDOzM+CGBoJ+8gjK+WbCZ/VkFdGibyJUX96NV0tF5jx3ejZf/chPvz1jBjvRDNIt1cPXlA5lySb/TmkhMcOqoj6hXVKUHsABcLtcIoOS0zkpQb2RJpld8w1K71gdVVnhp6B0sy9vFt9nrqdS9XNCyJ8mO5nx1cB1HvGX0SWjHFW0HMu2nd6uuCr9r9/7eVfyyd/0rANWHu/sNZWrPfvx0cD9+w2Bkm1RSYhsefv7e2vVh63FW34pFwNbui5DGtwYLruh39N9h3sZ0KqtqeYYTdlWWaZcYz/EoKXejKXJNUq8g5MDqOlrTKKnw1Ih57Rqnbq+fT+ZtYPyQbixZswfnC99iWhZ+v4GmKXw8ay3ORy8nJSmedz9axqatWdhtKpdM6MWTj1xGswZstArODuoj6o8Bs4AuLpdrGZAMXHdaZyU4K1AkmQtapXFBq7Sg4xNaB//cI741mwoPYeoyVpWXjCRbyIoJEszP3nHKRR0gzmZnSpeTe6BtzM49WkgjHFJgtS5ZgSAcC4K3FyyQZPjn9Zez9WAuHy3fSF5pORk5RZgmNW6GtR93qixzzbDeRNdRkLqaVonNIm9eShJpHVvz4JSRPP7C15R7/GG3svOLyikt9+B84dugakbVWRj/+Py3aIaEz69jWVBR6eWLb9bz0/J0/v3ibULYzzHqFHWXyyUDDmAc0IPA7+Yup9MZuQCm4Lxjctt+rD9cvYEYkBXLBMNUUDSjXnbjU0FWSQnfpu+izOdjaJu2DGnblmK3m6SYaBxq+ACcVs1i2ZIbPrFWDWawK3iNxloBgf7tpAv4cete5mxOD4T211othxPkaJvG41eMCzpmWRbr92Tz7YrtVHh8pLVvSd/ObejRPpmpE/rz6Y8bQzxdHDaV6VNG0LFNC/y6GVbQJUmiR8eW/LBsZ/jc9paF6THwHjNPv25QUFjO57PWcefNo+v+fARnFXWKutPpNF0u1/NOp3MksK2R5iQ4x5ixdwvhTS8Wsqnys9TT7zXxyqqVvLp6VcC0YJq8JUmYllVTSu7aXr35/QXjsKsqPsNgy6FcJCRuHNCXZRmZNQm7jkU2ocZrtNqkXutWR3RqR8fmCbz43bKgXC3VadnDCXuruFg09ehmrmlaPPXOdyzZsj+Q+taEH9bsRpICQUhXjOrFxYO6MX9tOqoiI0kShmnyy+vHMaJXINPlmIGdWboxNMuiXVO49YqhLFqWjscb5h6twPzC6b3PbzD3h21C1M8x6mN+me9yua4FvnQ6nSI7oyCIw+4y9peFFmsOIGGaEjd1aliiL4+uMy8znczSYlLjEpjUoVvElTbAksxMXl+zOih7Y/WmZnUyrs+3bSWzuIjJnXvwfwsXH52hBP1SWrP5UC4ev14ViSkhSzJPXzSBZ2f9iP/YWICqb0Gs3cYb067miU++C06+dYxC1v7Rpipc1LdrUPu3K7ezeMu+gOjWsgRZFvh0g9krdjBpWA++evZO1qdnY9cURvTqQLTjqPnm6emTeOKlr9mUnoMkBXLbm6bF7++5hJ4dW3HgYCFRDg23J3wx7kj4IzzsBGcv9bWpxwC6y+XyULX4cDqdcXVfJjgf8Oh6VXWj8A5RMaqNWM1e7/42HTnErXNnoFsGlX4/0arGH5Z/z/uXXs/Alm3CXvPvdWuCMjKGw2sYrDmQzbq9OSFJujbl5PLAqGHsLSjkSEUlQ9u35aYB/WgRE83sDTtYm5kdstq2qwq3DB+AqsgUlFcGN1YF/9Q220BAaKNtGjeNHkBppQcJaBbt4H8/rA+YViI413j9OnNW7eSBq0dz2fDwewhRDo2Xf3Md+7IL2Lo7h5hoO6P6dSKqKqf5uOHdePE/C0NFveZ1IrRPWZYYPuTUJIYTNB7HFXWn0yky2gsi0i4mHoeqhs3ZIiMx8jhFomvj1v1Mm/sZpb6jOW0q9EC/t86dweqb7idaC91czCg+Tn4TE2Qf6JYZdlnq0XVmbt3B/Ol3hLQ9c9VEbnjjYzx+veZhYFcVkmNiSGuVTE5RKUM6tWPzwdzgHDBV+Vcksypy1LIY3Lkt1wzpw30vfU7G4SIAOrdOPFoJqY4KfDZVYXtGLhf0rzuQq3PbFnRuG1pJym5TecU1lUef+RyP14+uG6iqgsOuMmVcX774em2IecZhV5l2/fA6xxOcfdQnojRs6Xmn07k43HHB+YUiy/y673j+vGFBiLDbFZVHeo+h1OdBleWIeV2qmb1/F3oETxTDMpm1byc39gi1z3dMSCCrNHwuHMkAufoZUYedIaOwqCaCNajvFs359pHb+WDFBhbu3ItpWJSUuCkuduP8/Hv8usHAjm1RZQkfBEdfyYE/dlXl4Ukj6ZnSkgde/jIonW56dj6yJIUtjVobC4LMLSdC59RkvnrzXlZtyiA7t5i2reIZNqATqiLTOjmOtz9YgsfrxzQtOnVI4omHL6VtyunNzS849dTH/PJ4rb87gGHAOqDePmqSJE0HpgOkpqYe52zBucaNXQdiYvH85kX4zECkY5voOK7t1I8Hln5JdkUJlgVDktvhGnop3eKTw/azr7iQSj28Y1Wl7mdvcXjb/T2Dh7IuJyfUBGMFBF1COm6GFU0JFOMIR3KzGB67ZAx3jh7MZX/7D+We4IRh6zOy6Z6SxIEjxZSXeUNKnJb5vPzz26W0dsSELVNnWhZSVRRRhJcJVEVmQNe2x7mL46MoMqMGhZpUrpzUn8kT+5J3pBS7XSOxuUixe65SH/PLlNo/u1yu9jSwSIZlWW8Bb0Gg8lFDrhWcG9zcdRBTOw8gs7wQu6yytTCXx1bMCsp7virvANfOf49vJt1Fh2ahK8D2zeKJUjXcYYQ9SlVJjUsIOQ4wtkMH7h86LMj7BQgpIFHjY36MaqqyxOVp3Y+bI2XGqs1hg4B8usGunCMohlQz1rF4fDpZZZFj9izApkqYesAbphpZkrBpCn+6a9Jpj+hUFJmU1uE/Y8G5w4lkacwC+hz3LMF5hyrLdIlLwrIsrv/+g5AC0RZQ6ffzytal/H3klJDrr+jck2dWLQzbt4TElZ3TwrYBPDR8BFf1TGP27nRKPB7cfj/zdu3miKeyZuyaykM1fQaI0jSeGD82Yt8+3cAwTdbszcIbIXe6YVrotX3Fq6I7JaoKYtQ6fOz4ENiUnPfXe/lpy17W7cxie8ZhPD6dfl1SuPOyoXRrF/7tRiA4lvrY1F/m6O+iDAwANp3OSQnObbIqSijxhU85a2LxQ/aesG3NbHaeHXUJTyyeg2VZ6JaFXQ0UNf7b6Em8uXY1yw4eIMHh4Ja+/bm4c9egXOft4uO5d8jQmp8v6dyV2//3RaCU3DFJUqpX7lKVn3ZybKi5ISO/iL/OXsTyPQfAsoiyaRE9RUzTOirStZJ4SVDzRDk2JX31m4MMjEzrQEKzKH42qg8/GyXWTFo9/VQAACAASURBVIITpz4r9dpVonXgY6fTuew0zUfQBKje+ItEJNv1GxtX88K6pWBKGJaFJiloKPxpxMX87vvv8ZtmjQfKupwcxqR24LXJV9YI+/a8PL7evoMKv4+xHTsyb+duTImacm/HugxKVf8p9/lYmXkQVZJ5f9UGDhaVkJoQx/KdmVT6/DXujOVeX+Abo4Mcml8raJM0qNBR9fFjb7vqWJSm8tg1Yf0RBIIGUx9RT3A6nS/VPuByuR499phAUE2b6DhaRzUjs7wopE2VZC7vEGpGWX84hxfXLwsKINItE9Nv8cRP8zD8VqDQchWVup+lBzL5bvcuJnfrwR8W/MDM7YFC0aZlMXP7jkANT4mgAs2RrOZPz11AXmF5TQDSroN5QYFAtZFUsPzBfbWLjyOvqAK/rwEJTKVAAesnbryQzimhboiCoxi6wax3F/PV24sozi8jpWMSNz86iQuuHHSmp3bWUR9Rvx04VsDvCHNMIAAC+UaeHXYZd//0WZBdXZEk4mwOHuwdGnb+7tZ1eMMEEJkEKgxJkhRi9qjU/by/eSOWCV/t2FETPQpVkaTVboX12JrPKCxGqrU/G8kLBQJunBZmTaFnLDhUVBYwpVQXgK5NHf7npmWRV3xypQePR35hOQuW7KCwqIKeXVszdng3tAhl685GLMvimf9v77zjoyqzP/zcMjOZFFJIaIEkEEIvASICIiBVBcGCIigqIrC66urPteyqO86qu7q6a9lFEV3r2kBQBERAQJBOpEWQDqEFCGmkTbtzf3/MJCSZmRAwhSTv8/koMHfuvWdC+Oa95z3ne6a+x451e7F7J0+l78ngtf/7lPT9p5j82PV1HOHlRUBRt1qtE4FJQFur1fptmUNhQKC+cIEAgAEtEvh02B38Y/sqfs48jkFWuLZNR/6YPIRm5lCf9x/Jy6lce73pjYrvOZl/jve2pFLs9FMKWTKIWS+/yvdHIP8Tf7g0N7Lbm1bxoumenHp0k2Cy8op8zglUh67KcsB0VHWwaPlOXnv3B3Td48oYHGTgzf+uZObfJtabGvS0DQfYuX5fqaCXYCt2MHfmckZPHkhUM9HgXkJlK/X1QAYQDfyzzOv5wM6aDEpQ/8i2FfFL9ilCDUaSo2ORJYle0bF8PvzOKp3fKSqG3Vlnzg+iqEhFQffq4KnCArK1wHNA/VzGV1x1T5NSuZf8tPmXu0hJDHr5l8/Z7RhVpXx3aYDNVQCn5ubdr9eTm1PEoxMGV3n0XFU4lJ7J6++uwFEmJVRkc1Jsd/H4C/P49D9Tq/V+NcWqr1OxF/sfJi4rMpuWp3HdHcJ0rISAom6xWNKBdKDqk4MFjQ6nW8OyeRnzDqVhUlTcuo5ZNfDGwLEMaJFQ5etM7ZHCwoN70CqUQZakbGwuF7aSfHsZHdJ0HYe7kjy2H80q1eSS32h+9jBVkPzpiF5+CEVFwdZ0naTmTdl7oszouzJPGedLHj0nSS5wajrz1+zEZFBo26IpRoNK/+4JhPzGQc9fLdqKy08Jpq7rnM0qYPf+DLp28O+ncznhtDsDesrrbh2XUwxiK0tVShr7Af8GOgNGQAEKhaGXAOCvqT/w9eFfcLi1UnEtdDm4b9Vcvr1+Cu3DqzZer1NUDH8bNJI/rVmKWweXW0OVZVqGhPHZ6Ak8u+oHfjx6xO+5mqyj6rLfmZ2KJBFsNKK53bh0Ny77+d3PkqoUv2tVCSSTRKhiwGHXPCtvHWRX+bRLRXq1bUXawQzfA96+IcmpezZvy15LB3uRi4++3YLZZCi11n1k4mBuGdoz8M0uQPrxLN8xeCUfT5LIOJ1XL0S936gerP9+J8WFdr/Hew0Us1PLUpUWtf8AE4H9gBm4D4/ICxo55xw25h7c6dNkBOBwa7yza2OVrqPrOjm2YtqFRWHWjMguCZwS2CXOZBfy09F0pvTqQ6gfMy8AZAgzG8v7ruiABkanzNSU3jw3cijf3H0HYaoB2U1pTrycoEsQpKqEmowEqSrJbVry/SNT2GZ9CJMmoTgrF3SAB6/t7+n8LHE/rPCf7ATF4fm15FqSRulqv8jupNDuwOZ08dInKxj7x3dZmbq/Sl/HiiS0iUaW/adX3G6d2HrSPdpvZHdiYiNRjeU3d01mA32HdaV1++Z1FNnlSZX6ji0WywFAsVgsmsVi+QC4pmbDEtQWbt3Nyow9PLDxMyb/9D6z9q4m215YpXP35mZilP1XUWi6zuYzxy54jaWH9jHof+/R98O3uXH+p+Q6bDgcGpImoWme2aDPr1mFQZIDplkUSSLcFIRql5CcnpSGbAfFIeFwuVmw81du7taFjjHRXNelI6ofoZOAvvGt+XzKBF658Vq+nn4Hn02ZQFRIMJIkMbx7UrlGp1LKiLzJoBJmDmJEchJKxXt4nSJ1VUJXPUOt3RK4yzwtlOt49f6akZWP5d0lfL5s6wW/lhUZP6Z3uWEcJciyRPOYMDq1b3HR16wLVIPCq18/ylXXJWMwqZjMBoKCTdxwzyCenHlPXYd32VGVksYiq9VqBLZbrdZ/4Nk8FW4/DQBNd/Pw5i/YlHm41GFxV+5JPjy4gf8NvJf2TZpVen64MSigq2LJ8cpYfGAvj61cUq4UEckjeGjnK1acmsaSA/sYEt+WH9MP+/ihGxSFnJxidB1kzVd4T+cXcDq/kBZNQvnDkP78uP8QecW2Uo8YBVCROZaRw+1vf05MaAj3DOxDQlRk6Ur3sTGD2LT/GDmFZTZlKzYg4Rkx9+Doq1iz6zD5xfbSodaKizJJde/QUslPOU/Jhcpgc7iYOW8t4wZ1uyinxrZx0Tw2YwSvzloGkoTD4cJsNhAabOIfz95SLzZJSwiLCOapt+7BVmQnP7eIiOgwDMZLcTlp+FRlpT7Z+74HgUKgDXBLTQYlqB0WHttZTtAB7G4X+U4bd/z0PjPWf87nh1IpdPmvPEgKj6Z5sG95IoBZNXBXxz4B7+3WdaxrV5YXdCgVNL3Md6am6xzOzeFfI66jX2wbghSVYNVAqMFIiMHAv68dg6pXzeyqWVgo386YzJ19k2kWGkLTEDNxYRGomsyZc4W4NDcZefm8vmwtT371fel5LSLCmP/HySTHt/QG6Hvt5hFhtGkaQbPwUOY+cSfjB3QnMsRMiGrwX3YjSaBU2HQNoLOqIpO658JPPhW5blg3vnp3BvffNYi7xvfj6YevZ87sGbRqXj9SLxUJCjYR0ypSCHolSHrAUeXnsVqtZiDOYrHs/a03TElJ0VNTUy/8RkGNc9uPs9mVd9LvMV0HzS1hVoyEqCbmXjOVVsHhPu9Ly8pg4vLPcLg1nN70SLBqoHd0LB8MnVDqT55RkM/ne3ewLzuLxIgormndljsXfuUr6qXOWyC5PQpnlGXu6tmLp68eAsDB7Cy2nz5FE5OJQfEJmBSVJ79dyoK0X/1ulsZHRrDsgXv8rkwPnMni1pmf+W18CjKofDp9Ap1bnX9iKbQ5uP31z8jIOVdq7iVLEiaDwuzpt5Dc1nfj8cnZi1m+bZ/P6yWf1+SS0DXdU84ZQNRDgow8N+1ahvRu7/8NggaPJEk/67p+wdmQVal+uQF4FU/lS1ur1ZoM/NVisYz97WEK6pIcx4Vz58WaE7vbxRNbvuZ/g+/xOd69aUuW3TCND/ZsYW3GEZoYTUxK6sXo+M6lgv5D+gEeWrkQze0pPzTKCu+lbfGtSS9jhFUWWZKY3CO59M+JUU1JjCrfVv/g1f34Ye8BCuyOcpcIUlUs1w4NmGpYsfsgrgC5eodLY/mu/eVEPSTIyOePTOR/a7bxzZZd2Jwu+rZvw4zhV5LYwn+rv1sPnKICaBoTil7sJju/EJfmX9idmkbvjq0rvY5AAFXLqT+HZzDGjwAWi2W71WpNqLGIBLVG98hYThWfw32BPnq3rrMj5yRnivNpZvadbtgqpAlP9xnm99w8u42HVi4sN8CiZMPz/GhTqYwRlq83blxEBHHhlacL2kSGM2/qJF5avobVBw/jdut0a9mcJ4cPom+8RwxtThd6iduiF5emBayBduu63z2D0CATvxvZj9+N7FdpTCXc0L8rK7Z7nSn1MgXrkie3Pm5gN+4Y1psFP+5k5vx1OJxa+R9MRpXbR/SmSUj5PQpd1/l5RzoLl+0k71wxKcnxjBnZg4gmwVWKS9AwqYqouywWS57Vaq3xYAS1y7Skq1l9ej+2CmPodL2kN+a8wBplhWx7oV9Rr4xFh/YEPKbKMm4VNJce0DwLID0vj2N5ebQJ903/lCUhKpJZE8bh1nV0XUfxPimknTjFi0t+JO3EKXRdJy4ygk7NYmjeJJR2MVGYVIViPxOJgo0GBnVsW6XPqes636Xu4d2lmziZdY7IUDN3XtObiYN7MbBbW1pGhnEq81z5zynpmIONTLn2ClRFYXCfJIKCjHy/4VfSDnlq3UODg5h6w5XcNizZ534vvv4dazbsx2b3bnLvPcln8zcz86VJtI2rvD/g7Nl8fli+i7Nn8+nYqSWDB3fC6M1T79+Twdz/refQ/tO0aBnBzZP60buvGEBdX6iKqP9itVonAYrVak0CHsZjISCo53SOaMkrfW7hT1u/RgeKXQ40XUfXwV3B/Nvp1mgdcvFeIacK833HzJVe083YxM5kFRaxPj3wJqBRkTmSlxNQ1M/kF/DR5m2s2HcQg6JwS3JXbkvuTrBRZnfGGe76cK5HtL12AOmZuRzNzEXCU4YYZPB0wpYdgCEBTUOC6RFbtbK/N79dy+drtmNzeD7r6dwCZi5az5b9x3hj+jjaxkRy5kw+egVfgWBFpaDIwd8/Ws66HYdRFRlJkjAqCk/dPZyRV3byW2u+esM+1mw8L+gAdocLh9PFsy8v4H8zpwaMdcl3O3jzjWXouo7TqWE2G5j11gpee+NO9qYd582Xv8Nh9zzVHD18lp1b0xk3oS9Tf+//aUxweVEVUX8IeBqwA58BS4EXajIoQe0xtGUnfrrucTafPcLO7BPM2rsOu7vCVHlF5ca4noQaTOVeL3Q6+GzfduYc2Ild0xjaOpHpXfvSKuR8s3GHyBhCDAYK/RhuBasGBrVJYHyHbkxd+DUrjxzyG6PT7aZVWPkGZqemseLAIb7fu4/lew7g1nQ0zSOY/1q5ji+3pjF3ykReWbamdBUueVfJJRKp403JuHVaRoRx5GxuaU5fd8PZnAKmvTef96bfgkEJ7Gp4OiefT3/cVt7vRQeb3cWm3Uf5as1Otu09gb+ihGK7k0de/5qDRzNxODUcZVreX/xgOdHhIUSHh9AipglBZdJG8xZtxWbz/ZrqOpzJPMeh9EzaxZeflrR+3X7eeWcFx4+Vt0QuLnZiszl58vEvOHcyD6e9/N+/zebkmy82MXRUN9qKRp/LnspcGj+xWCyTgWkWi+VpPMIuaIAYZZWBzdozsFl7mgU14fkdS1AkT9u9W9cZ3DyJp3uMKndOvsPOjd99zInCc6UdpZ/u28a8g78w77o76BDhEZSRCe15br1/UTcqCmPaeVq8pyb3YcPxoz6rekWSaB8ZRWJkVOlrWYVF3PrpF2QVFnmuW2Kxi2clbnO5OJ6Tx+x1m9l85LjnQCWWAHaXRvrpXKSy5fIS2N0au0+cYemOfYzpHXiU3o9ph8pvxLo9HaPgcUZ8+dOVKAHy9sV2J7uPnPLuLVSIy+HioZe/IlhRcetw66hkZtw2EEWWyc4NvMmtKDI5FZwiFy7cyttvrcBu8//UpOuQk1Po2zTlxenSWLZoBzMeGRnwvoLLg8pW6n2sVms8cK/Vav2YCv8eLBZLdo1GJqgTxif04trYLvx0+iDFmoOUpnHEhUb5vG/2rk0cL8jDXqZyxOl243LbeXz9EhZcfxcAJkXlizETuPO7uRQ47bjcOqosY1ZVPrnuVoJUz+pzQJs4pvW6gne2bkHT3bjcbkIMBkKNJmaNHlfu3o8tXsLJc+dwlfialHxnep0V0cGuaXy1Y5fXh72SjWDd0+lZVvD10v9BscPJV5vSyol6sd3Jhj3pFDucJLdtheZ2n1+FewW97D8W3a2jVRKCLMu4Nf+bCpquU+Rdkc/9fhsFRQ6euHc4nZNaciIjt9yQ6hIcTo2ENucrcex2J7PeXond7l/QS+PUQQvQTObWdHJzqtZpLKhbKhP1WcD3QDvgZyp8n3pfFzRAQg0mrmvdpdL3zDmQVk7QS9CBX7PPkFlcSIzZ03icFBnN+okz+OlEOkfP5dAmLIKrWyeUljyW8Gi/AYzt2Imv9+wmx1bMlbGtGZWYhEk5/216pqCALcdOnBf0sni7UUtW3MVOJwPbx7N63+GA9T2St9Oz3Pg5ygi7BEWO808ZCzft5sU5K1AkCTegaW5Sks6XGla08C2NK8BTgsmggqZXtk9cis3hYvHqX7jvlgFMvKkvqzfs8xFqo0Fh4JVJNI083xSWlnY8oAdMWRRFQpJl3H4eG8xmI7Gto1i5ZCdR0aF0752AolSt4UtQu1Rmvfsm8KbVan3bYrHcX4sxCeoBxS4/Qym8qLJMkctBWTcJRZYZ0qYtUHk1SWJkFH/sPzDg8dP5BRgUpdzYu3KU0a6esS15fMTVbDly3DNr1KvW5QQ8gGd6ibAbFJlBnTwxbzt0ghe/XIGtQqXMzwdOENMkhLP5RTjtLt/rSZJfSwCzycCg5ET2Hz5NeoafISG6XroPUIJBVUjbd4LBVyTx3B9v4IXXFgMegy7NrZPSM56nHr623DnuSqwczocoERMTRqgkc/hgZjk7Wwlw2h3M+Wht6Q+HILMR678m0rFr7AWvXUJG+lk2Lv8Fl1Ojz+BOtOtS9XMFVeeCG6VC0AX+6B0Ty+qTh/yugA2yQmxI5eWHl0pseDjOQIIOpcIZpKo8PKg/iTFNmTNtIq8uX8vqvYd8cteBJhLhfd2gKNw+wGN/+97SzeUF3Xuy3enibH4ht1zVgznLt+G310iWMCgy3RJacCIzj6ZNQrhjZG9G9u3E4Ywspr/4JQ6nhr3k+rqnzLOiqAOYvBumV/Vtz4KPf8/PO9IpKLTTpUNLv9OMunZtjctVZpe4wl+awaAQHhHM31+eQFhoEH97eh5p245iMCo4nRqS243mcmMvszFbXOTgqQc+5qMFf6BJROV18bqu8/Zf5rH0i42ej+XW+fT170m+qgNPz5oiWv6rGfHVFFwSjyYPZOPpoz62u2bVwB96XOWTWrkYzhYWsT0jA7PBwBWtYzGWqTyJCjZzTWI7Vh485GPsBWCWFUKCjbwwegS923ha9hNjmnLHFT3ZtL9CvDroRnA7QPaXzZHgw9/dSnSY54lj7/Ez5W0MOJ+uV2SZsX270C46kn/NWXNenMvQIroJs5+4zae7NTE2mnkv38v8VTvYvOsoNruTQ0cycWia7/AOoHeX8+keo0Glf0qi369jCSEhJu64oz+ff77RUzFT8sQigznIyB8eGcU1Q7uUplP+/u87OZ2Ry/GjWeTnFfHa89/i8JPz11wa3y/Yym13B36yAlj25SaWzdmMo0yqSHNpbFu7j49eWcx9T4+r5GzBxSJEXXBJ9IxuyawhN/HE+iUUOO3IkoRb13moxwCmdA5s5KXrOttPZ7Du2FGMisKwhHYkRESiyDIZ+fk8vHgxOzIyMMgKChKyLPHSqJFc26FD6TVeum4kU+bOZ0/mWZyaC1VWcOs647t1YXz3bnRt0ay08ajkni8sXOWTNimdSKQAFQ4pssS911xBl9bnS/giQsyczS0qPbXMJbDZnUSGmhl3VTeWp+5j1+HTFHtz8QZFwWCQ+dt91we0K4gIM3Pv2H6MH5rMvCVbObY/E7dTx13iWilJmIwqT00dgdFw8f9s77jzKsIjgvn4o7WcO2dDkqB///Y89PBIoqJ8Tdmat4ygecsIFs9LDbjPbLe72L3zwiZjX85c7nccncPmZPEn67jniTGo9WgQ9uWOEPVGRnpBNp8dSmX/uTO0C4tmUrsU2oVVbTpRRYbEtmPj+Af4NecMds1Fl6jmBCmBv6WKnU6mLJzPztOnPU06bnhp9U9IQFLTphzIzvYYcungKllRO+Gx776nRVgYyS09DomhJiNz7pjAtpMZbDl+gmCDgVEd2tMs1L9j5Pdp+zianes/KAlQQK8g6gnNInlw1IByrw3oFM/BE74z1yXwxuzGoCrMfOQWlm7ew7w1aRTY7PTrHM+k4b1pEVV5N252biFTn/iEvPzi0rmiMoAbenSPZcbtV9Oz46XloSVJ4oYbejNmTC8KCmyYTIbSDtLKiIgKCbghKssS0VUY+Jx5MsDXHnBrbvJzi4iMubhOZUFghKg3IpYc38VTPy/A5R3ttinzCHOPbMWaPJob4y9tbJosSXSNqlpDynNrVrL9VAZ2p+Yd6uxZterAvqwyYlm2tlAGu8vFfzZs5L2bbzr/Fkmid2wresdWPo5tzuadPLdgRfnr+qPMMbNRZcbwfj4VI0U2/xbE4FmNr/nlEBOH9EJVZEb378Lo/pVXEFXkrU9Wk51bhFYh1aFIEjFhoZcs6GWRJImwMHOV33/FVUkBjxkMCtffHPiprISI6DDOZgT6oSoR0qTq8QgujKhJaiTk2It4MnUBNs2Fy7uT59Ld2DQXf9m2mExbQY3ev8jpZMHePZ5W/DKCXinet7iBnadOX/Q984ptvLBwVeVv0r038HqZq4pE07BghnfzZ3FbecxVcLH2c47OL/tOsnBlGj/8tMdH0AE0t86aTfv8HqtpjEaVZ16+jaAgQ2mKRJYlTEEGbp9yNe2SLmyjcNO0IZjMBp/XDSaVoTenYDSJtWV1Ir6ajYTvju8i0KAbHZ2FR9O4t0P/Grt/ZlHgbsWqEB5kuvCbKvDDrgM+Xis+3RaA4vZY6jpcGn3axvL326/1OwZuaHJ7lqTuocjuW84pSXBV14SLiu9MVj6PvjiPjMxz6LpeOiXJH5qmo7nddVIb3qdfIu9+9Xu+nbOZfbtP0qxFODfc2rfK5Yzjpgxi1+ZDbF29B7vNga6DOcREm/bNmfGXG2s4+saHEPVGwll7gd8B0eCxwj1jy6/R+zc1BwfsVrwQJkVhcnIyWYVFfLh5K0v3HECWYGy3TtyZkkyTIP9j8/Jtdt+OS73C7zVQVYXnx4+gV9vY0koXf/TrFE9SbDS/Hj1TzuclyKgyvFcS8c2qbnim6zoP/XUuJ0/nonljrGTwEa1ahF/SBml10axFBPc9fGkWAYoi88w7U9i7PZ01i7bjcri4ckQ3eg3sgPwbqqQE/hGi3kjoFN6CENXodzRdsGqkS0TLGr1/qNHIqMQklhzYh7OqaQTdk7Pv1bIlgxISuH72xxTaHaWljG+v3cyX237h63snERXiWyvdo00LDKpS3mirzLXxNh7pbp1jOecY0aOD7/vKIMsSsx4az8xv1zF/fRo2p4sws4m7h6cwrl8XCorshAZX7Yli2+7jnM0pKBV08I7w89MMFWRSmXHH1VW67uWKJEl06pVAp14JdR1Kg0eIeiNhaMsOBKtGilzlJwNJQJCsMio2sGFVdfHCNcM5mJPNgaws7A7Nb15dkWU0txsZCYMq88ygIUzo0Z0Hv1pIXrGt3Lg6u6aRWVDIaz+u5/nRw32u1SuuFYkxUezJyCzfb6NX+FW6ULb8PEFGlcfGD+bRmwfhcGn8vOco//pyNe98tQ6AjnHNePLOoXRJqDzXfCA90zdHLkno3s5TVZExGVUk4IG7B3NN/45VjFDQ2BGi3kgwyAqfDrqHqes+JcteiK7rSJJEhMHMe1dNKuevUlOEGU18O+FOfjqazpe/7CT1+EmyiopQZJkRiYnc1TOZTSeOk2ezkRIby4jE9qiyjMPlYs3BI37nj7rcbhbu2uNX1CVJ4r/3juf/vljElkPHy62K0cr4gEkyQ7pcnJWRLEts3XuMJ95ehN1xPq216/Appr88hw/+PJGkNjEBz28aEYKqyOWsdr3BIMsSQ/t35OZRyXRKbIGhCjXchYV2dF0nNNR/KkrQeKgVUZckaTowHSAuLq42binwQ3xoFMtHPsjPWcc4WphN6+AIroiOD9gQUxPIksTg+AQGxycAHldAWZJKY7iyTRufc+wuV6X5eJ/h1WWICA7i/XvHcyI7j0c+XcT+U1k4y+bDDSojuyeREB3Jr8dOk11QTPuW0TSP8F/zXoKu67z6+apygl4ar8PFW/PX8dofAm8CDkxpR6DnA0VRmHJrf+Ja+bpjVuTXX0/w5pvLOHjgDJIEsbFR/P7B4fTpU7WJTYKGR62Iuq7rs4HZACkpKZdQ+CWoLiRJIiU6jpToy+OHq1KFjbIDmZW7PCdEVT6/FCA2KpxP77+d2Ss38en67ZwrthMVambKoBT6t2vDmOc/ICu/CEWWcLg0ru7SlhfuvJZgk28pHkBeoY2Ms+f8HtOBzb8epcjmYNWW/WTmFpLYuin9e7RF9VavmIwGXnzsBv706gI0Tcfp0pBlCYOqcP+kq6sk6Pv3n+KPj31eblhGevpZnn3mK55/YbwQ9kaK5G8aS02SkpKip6am1uo9BfWb11et4621m/2Xh+gwtmtHXr3p+ou6pktzoyoyWflFjH3hAwoqNBYZVYUrO8Txnxn+V9v5RTZGPDLLfxmi7nF3VN0SsiThdGmYjCqhZhNv/flW2jQ/XyVzJiufr5dtZ+/hM7RsFs7NI3uSGBc4bVOWJ5/4gtTUw36PtW0bw3v/va9K1xHUDyRJ+lnX9ZQLvU/k1AWXPYoso0gSmp8FiAS0bXrhVW1FSlbMX63bWS4dU4LDpbF5/1GOZuYSF+P7JBAWHERSmxh+PVKmKUr3WvnqHp/1soMxNJuTYruTh16ex/xXp5Z2qzZrGsaMiZdW2bJ9e3rAY0ePZlFYaCck5OLr+wX1G1EkKrjsGd4xEaOqlHqslP0vSFEZ1rFyl8KKnMrJZ/OBYxw9m8vm/cfKDZwuiyor7Dp6KuB1nrxjKEHeChXAU45YsbTIe1DH03GaV1DMy6lv2AAAFL9JREFU1j0XNsGqCheq8a7KYAxBw0Os1AWXPZ1bNGNoUjtW7jtUblPUbFAZ1iGRTs2rlq7IK7LxxCeLST10ApOq4NDcmFQlsKe6BE2CA1eTdGvXkvf/PJGZ89eyeXc6mivAZm4ZD3PNrZOekUNKl9++p9GvXyJr1+7zO9KuY8eWmM3G33wPQf1DrNQF9YJXb7qOh4f0JyY0BAmICQ3h4SED+MeN117wXPBUq0ybNY8tB0/gcGnk2xzYnS5PLl31mRsBeCp1+nbwrcYpS4c2Mbzxh5uY/+K9BFXB9VCRZVpEV48j4bRp12A2G8utyCUJgoIMPPTwiGq5h6D+IVbqgnqBIstM7Z/C1P4X3Cfyy7bDJzmSmeMzNcmt6yiyjGqQcHprxhVvFcrLd1+PQam8RtzudLEh7QhnsvIr9W4pwWRQuLJbwiV9hoq0io1k1qwpvP/+atav34/brdOnT1um3jeYdu2aVcs9/HH80BmWfLmJMydy6NCjDaNu7UuTyMD2CoLaRYi6oEFRaHew42gGqiyTHN8Ko9eYa/uRk343RMFTK9+3QxyyBpnnCumZ0Iq7rulNQvPKN2B/2n6IZ95ZjIRnQEjAWnrd4/5oNhl5/fGbSzdpq4NWsZE882ztmWIt+Ogn3n9lCZpLQ3O52fLjHj6fuYK/fTSdTsmXR5lsY0eIuqBBoOs6s1dtZvaqzR7R9OZT/jR2CDf26UqY2YSqyrgcvsKryBKdY5vx6JiqV6Ecycjmz28v8gz7KIMEpVOgwFNlExZs4t6xVzLm6m6E1OM8d/r+07z/yhIcZeriS+aWWqb9l882/AXFj7uloHYRoi5oEHyxcSfvrvIOhi7jjPv8NyuJDgthePckXv7mR7/nqopC99YtWL51H62aNqFLXPMLdtn+7/tU35W/5P1ZIkPnuOaEmk3cMKgrw67o4NfKt76x+LMNaBVtDbw4HRo/r91H3yEX9hAqLrCx46c9aC6N7gM60qRp5d27gotDiLqg3uN267z1wwaK/Qx7tjldvLl0PXMemsQT44bwyrersTtdpRujJlWhiW7g2Q+/R5Fl3G6dFlFhvHH/ONr4qU8vYffhU+W9ZEqQwBxkYPpN/bmq58X5yVzunD6eFXBQh9vtJvu0/w7bsnw7+wf+++xcFNWTgnI6XIz73Qim/vXWWrWraMiI6hdBvSe3qNinI7Qs+05lAnDbgB68d/94hnZLJD4mgn5JcYRjIq/Qhs3hotDmoNjhJP10Dvf+c07AHDxA88jAFSyaWycqvOFtHCZ1a4MhwJQiSZKIS6p8rOGG77bx32fnYi92UJRvoyjfhtPuYuG7K5j/n6U1EXKjRIi6oN5jNhpw+y1K9BBsPJ/H7hnfktenjGXRU1O4c0AyNofTp87bresU2R2s2H4g4DUnjOiFOYAvTNPwYDrF11z1SV1x/cR+fr16ZEWmWasIOveKL/e62+0m9Yc0XpnxLi9NfYe3n/gUe7HvD197kYMv/rm4Tsb1NUSEqAvqPWajgYFJ8ch+Ht+NqsKNKf4HQP969Izf0XQARXYnvxwJ3E16Zdd4bhjY1dNR6r2tyagSFmzilQfHNshUQlSzJjw3ewrBoSbMISaMJpWgYCOt4prywgfTyn1mh93JU2Nf5YW73mLFFxv48atNnDkW2JjNVmgnP7tm5+Q2FkROXdAgePamYdz2788osDmwe7tOgwwqLSOa8MCwfn7PiQg1YzKo2Cvm4r1DKjb/epTHZi1kRJ8khvVKKrfZKUkSj985lFH9OvHN6jSyzhWR0qkNY6/uSnioucY+Z13Ts397Pt9kYfOqX8nJzCe+Qwu6923n80NszmvfsWfLwXKVMpWi65iFF3y1IFwaBQ2G3CIbczbtYFnaflRFYVzvztzYpytmo/80SXZ+Edc/8x72shUdXk+ZshJlNhloGRXGB49PIKwS2wDBeW5P/AO5ZwPMva2gOYoq0390b5755Pe1EFn9paoujULUBY2aBRt28fcvVuLSNDS37jHk8vNPwqDIXNe3E8/dParWY6yPjI66r/IcuVd3TMFGmkSG8ubqvxDZLLyWoqufVFXURU5d0KgZ0CWe+67tS3JiLF3imge0BXBqbr7fstfHZkDgn+bx0QGPmcxGkod0oftVHbnvr7fxzuYXhKBXIyKnLmiU6LrOP+eu5qs1O0vb9l2aG1clZYy6rlNsc2IIufRGopzcQt7/eC0rVv+Kw+GiU4eWTLtnED27V24cVt+Y+PgN/OexT7AXla92MZmNTPi/0Ux64oY6iqzhI1bqgkbJF6u2M39tGg6XRpHdSZHdicOlVVIYCcFBRkLNlz504lx+MdMf+pjvlqVRVOTA5XLzy+4TPPHsXNZvDFw+WR8ZPnEAN/5uBAaTSlCwCVOwEWOQgUE3X8GEx0bXdXgNGrFSFzQ6dF3nv0s2+/i2lFDG/ryUIKPK3SNTftPgiblfp5KbV+STa7bbXfzz30vp1zexwQy2kCSJKZZbGPe74WxZthPNpdF7aDdaVJKWEVQPQtQFjQ6bw0VeYXHA4zqe+nZVkdF1j4vjDf26cNeIS7P9LeGHVbtL7X0rUljkIP1YFm0bmOhFNQ9n1ORLG9cnuDSEqAuqhFvXOZl/DpOiEhNSv1vgjQYFVVHQ3P5X6iFBRr59fgrrdh3B7dbp1zmeZpG/3XTK34SiEiRJEh2VgmpBiLrggszdncY/1q+l0OlA03WSopry0tCRdGtWudfH5Yoiy9zQrzPfbtiNo8LGqFFVuHlgdyLDghnTz38n6qUysF97vlm83a94q4pMQgNbpQvqBrFRKqiUL3alYVm9krPFRRS7XDg0jV2ZZ5gw/0sO5QRu+77cefjmq4lrHlHOv8VsMtA+Nprfje1fI/e8/dYrMZsNVHQQMJlUZkwdXK3DMwSNF9F8JAiI5nZzxX/fJsdm8zmmSBJjkjrx+qjr6yCy6sHp0li5/QDLtuxFkiWuu6ITg3sm1qi4Hj+RzWszl7Nj5zGQoGlUKNPuGcTwa6r3qUDQ8Khq85FIvwgCciQvF3uAZhtN1/np2JHaDaiaMagKo1I6MiqlY63ds3VsFP/82wSKbQ4cDo0mYUEN0vxLUHcIURcExKQolW7uGeX6P82nrjAHGTE3YhuZ4/szyM8uIK5TK0IaoPd8XSJEXRCQ2LAmtAwL43Bujs8xo6JwUyeRMhBcHIfT0vnbpDfIOHwa1aDitDu57r5h3P+ve8R802pCiHo943RRPguO7OJ0cT7do1pyXVwnTErN/DVKksTLw0Zy94J52FznR8AZZJloczDTe/+2um1B4yL7VA6PDvoLhXlFANjxWAh8//5KHMUO/u/d++syvAaD2CitR8w9uIO/pC4FXcfu1ghRjQQpKl8Mv5PE8Jorh/v1bCavbVrHxuPHMCkqN3Xqwv19+hJpbri+4YLq54NnPmfuPxfi9DOYxBBk4NMjbwtjr0oQG6UNjAN5Z7GkLsWunW+YKXQ5KHI5mPLjl6we+0CNbbh1jo5h9ugba+TagsZD6tLtfgUdwGBU2bv5AP3G9KnlqBoeQtTrCR/vS8Xp9q1E0YEcezFbMo/Rt1lc7QfWSCksdvD9j7vYuOMIYcEmRl/Tjd7d2ohKlkoIDg+u9Lg5rBHvHFcjQtTrCYfOZaFVkio7XpBH34Y36/iy5OTpPKY//RnFNgc2u+fJafXmAwxMaYfl4dH1xpQrL7uAA2nHCQ4NomOvOGQ/Q6Wrk9HThrNn035shXafY6pBpdtVnWr0/o0FIer1hA4RMWw+cwyX7ttirqMTHxZZB1E1TixvLCLvXDHuMj9kbXYna1MP8cO6PYy8unMdRndhNJfGzL/M44d5WzAYVXS3jsls4Ik3JtPrqg41dt+rx/fj+w9WsWvdnlJhl2UJQ5CBJz9+SFS/VBOiL7kWOFGUzYpTu/g56zCaH1GuCpOTUlD9rKRkJJqbw+gdHftbwxRUgVOZ5zhw5Gw5QS/BZncyZ/HWOojq4pj1129YOT8Vp91FUb6N4kI7uWcLsN73HkcPnK6x+yqKwouL/sTv37iXxOQEmsVFM+jW/ry5/m/0va5Xjd23sVErK3VJkqYD0wHi4hpP3rfIZedP275kU9YhDLKCrkOQovKP3hPpHZVwUddq2ySKl/uN4cmNiwCwaS5CVCNhBhMfXDNB5HJriazcQgwGGYf//T6ycgtrN6CLpPBcMcu+3IjD7utQ6XRozH17BY/9c1KN3V9RFa69dyjX3ju0xu7R2KkVUdd1fTYwGzwljbVxz8uBP233CLrD7cLhtXkt0uw8tOVj5g56iFbmi0uZ3BDfhYEtElh89FfOFhfSObI5w2KT/K7gBTVDmxYRAT3RJSCp7eW9sXFkXwaqUfUr6m7NzS+bD9ZBVILqRKhBDXGiKJtNZw+VinlZXG6NL45svKTrRpqCuTOpD4/0GMSoNh2FoNcyTcLMDBvQEaPBN/9rNKrcdVPfOoiq6oSGB6O5AqcAwyJEy359RyhCDbHv3CkMAbxRnLrG9uz0Wo5IUF08Pm04V/RMwGRUMZsMBJsNmIwqj08fTrcOreo6vEqJa9+c6Bb+G3yCzEbGTL6qliMSVDei+qWGCDcGU1m3blPTb5+kI6gbTCYD/3jyRo6ezCZt70nMQQb6Jbcl2Gys69AuiCRJPPXvyTwxYSZOhwuXN5UUFGykc+8Eht0srB/qO0LUa4jkyDjMipEizeFzzKwYuDX+yjqISlCdxLWKIq5VVF2HcdG079aGd5Y/yTfvr2Hbun2EhAVx/R0DGDQ6WZQVNgCEqNcQsiTzap9JPLD5Q1xuDafuWRGZFQMjW/agf3T7Oo5QcLmiaW5+3niQHT+nExxiZMiIrsTGNa3We8S0imTaM+Oq9ZqCywNh6FXDnCrO5cv0jWzLTifKFMqtcX3pF91elCAK/HIut4jHZnzEmdN5FBc5UFQZRZG56fYrmfr7YXUdnqAOEYZelwktzBH8odO1dR2GoJ7w8nPfcOJYFi5vhYrmcqO53Cz4cjNderSm/9W1N6VJUD8R1S8CwWVC9tkCtqceLhX0sthsTuZ+vL4OohLUN4SoCwSXCZln8jAaAj88Z5zMrcVoBPUVkX4RNChOZObx5Ypt7D5yihZRTbhtaDI92l/eteMlNGsRgcPp26xWQqvWwrRNcGGEqAsaDBt+OcLjM7/FpblxaW4k6SQ/bjvA5FEpzLhxQF2Hd0Eio0Loc2UiqRsP4HKWT8EEBRmYcLdoDBJcGJF+ETQI7E4XT729CJvDhUvzCKKug83h4pOlqew9eqaOI6waj1vGEd82BnOwp5FJNSgYjSrjJw+g74CkOo5OUB8QK3VBg2B92uGAxxwuja9Xp/HU5Mu/JDCsiZm3PpnO9i2H2bktHXOwicHDu9C8ZURdhyaoJwhRFzQIcvKL0dz+jarcbp3M3IJajujSkSSJXn3b0atvu7oORVAPEekXQYOgY1wzJPw3dAUZ1XqzWSoQ/FaEqAsaBF0SmpPQMgpV8f2WVhSZcVd3q4OoBILaR4i6oEEgSRL/fvRmuiQ0x2RUCQ4yEBxkICYihHcev5WIUHNdhygQ1Aoipy5oMESEmXn/zxM5eOIsh05m0bRJCMlJsciy8NkRNB6EqAsaHImx0STGRtd1GAJBnSDSLwKBQNCAEKIuEAgEDQgh6gJBDVKQbyM7q6DS0YYCQXUicuoCQQ1w+OAZ3vjHd+z99SSSLBEeHsx9Dwxj2ChRWimoWYSoCwTVTMbJHB753YcUFZ6fT3s2M5/XXlqEy6UxanTPOoxO0NAR6ReBoJr57MO12G1On9ftdhez//MDmubfzkAgqA6EqAsE1czmDQfQNP85dIfDxfGjWbUckaAxIURdIKhmFEUJeEzXPXa6AkFNIURdIKhmho7qiiGAcEdGhdAqVkwwEtQcQtQFgmrmtkn9CY8IRlXL//MymVQeffJ6JEnYFghqDiHqAkE10yQ8mLc+uI/rx/UmNCwIk0ml9xVteXXmZHpfITzSBTWLVNtNESkpKXpqamqt3lMgEAjqO5Ik/azresqF3idW6gKBQNCAEKIuEAgEDQgh6gKBQNCAqBWbAEmSpgPTvX+0S5L0S23c9zcSDZyt6yCqgIizeqkPcdaHGEHEWd10rMqban2jVJKk1Kok++saEWf1IuKsPupDjCDirG6qGqdIvwgEAkEDQoi6QCAQNCDqQtRn18E9LwURZ/Ui4qw+6kOMIOKsbqoUZ63n1AUCgUBQc4j0i0AgEDQghKgLBAJBA0KIukAgEDQghKgLBAJBA0KIukAgEDQghKgLBAJBA6JWvF8EgurGarU+DNwPbLVYLHdc5LkJwACLxfJZDYSG1WodBLwO9ABut1gsX9XEfQQCf4iVuqC+8gBw/cUKupcEYNLFnmS1Wqs6MfoocA9QIz80BILKEM1HgnqH1WqdBdwL7AXex9Np92+gO56nz+csFssC74r8EyDEe+qDFotlvdVq3Qh0Bg4DHwE5QIrFYnnQe/1FwKsWi+VHq9VaAPwLGAU8BhR7/xyKx9nvHovFkhEgzg+BRWKlLqhNxEpdUO+wWCy/A04C11gslteAp4GVFovlCuAa4BWr1RoCnAFGWCyW3sAE4E3vJZ4CfrJYLMne8ysjBPjFYrFcCWzC88NjvMVi6YPnB8qL1fzxBILfhMipCxoCI4GxVqv1j94/BwFxeIT/P1arNRnQgA6XcG0NmOf9fUegG7DcarUCKIDfVbpAUFcIURc0BCTgFovFsrfsi1ar9TngNNATz1OpLcD5Lso/tQaV+b3NYrFoZe6zy2Kx9K+OoAWCmkCkXwQNgaXAQ1arVQKwWq29vK+HAxkWi8UNTMazsgbIB8LKnH8ESLZarbLVam0D9A1wn71AjNVq7e+9j8FqtXat1k8iEPxGhKgLGgLPAwZgp9Vq/cX7Z4C3gLu9G6MdgELv6zsBl9Vq3WG1Wh8F1uHZNE0DXgW2+ruJxWJxAOOBl61W6w5gOzCg4vusVusVVqv1OHAr8I7Vat1VPR9TILgwovpFIBAIGhBipS4QCAQNCCHqAoFA0IAQoi4QCAQNCCHqAoFA0IAQoi4QCAQNCCHqAoFA0IAQoi4QCAQNiP8HRDb1iGMYuuwAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -752,28 +669,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Regression Example Figure 2" ] }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 34, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAAFBCAYAAAD69Z+AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -821,28 +731,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Regression Example Figure 3" ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 35, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAFkCAYAAAD8ADhmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -875,28 +778,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Regression Example Figure 4" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 36, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCIAAAGACAYAAAB4PcMRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -924,10 +820,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Clustering Example Figures\n", "\n", @@ -938,12 +831,8 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 37, + "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets.samples_generator import make_blobs\n", @@ -960,28 +849,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Clustering Example Figure 1" ] }, { "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 38, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAGACAYAAABx1WHyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1001,28 +883,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Clustering Example Figure 2" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 39, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAGACAYAAABx1WHyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nv9AAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1042,10 +917,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Dimensionality Reduction Example Figures\n", "\n", @@ -1056,28 +928,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Dimensionality Reduction Example Figure 1" ] }, { "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 40, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAFkCAYAAAD8ADhmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nA532xVzn6tbEAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1103,28 +968,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Dimensionality Reduction Example Figure 2" ] }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 41, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAFkCAYAAABfKF6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1152,20 +1010,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Introducing Scikit-Learn" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Features and Labels Grid\n", "\n", @@ -1174,18 +1026,14 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 42, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdAAAAFCCAYAAABB84xIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQAEAMECAAgBg4P8BcxeynoHUQewAAAAASUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdcAAAFDCAYAAABoc0SUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAGQ5JREFUeJzt3Xu8fXVd5/HXG354GVQSUC6Ol7xkYGPZBcuH9zAxH05aNFgPNMkLjuQ0gumY2RhWlsKkeWvU8DY6TWkWSYOmJHhNIbzioCAokhrEDxDkovKZP9b64Wb/zjn7nN/ve/Y6e6/X8/HYj3PO2mt993et893f99rftfZaqSokSVI7ewxdAUmSlo3hKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SpE2R5I5JvpnkXhtY5p1Jjt/Mes2D4SptUJI3J3nPbpax4U5nYtml6HxaSlIzHm/eAnX8YJJXz5jn75K8f5XnDunX5VHzqk8Dvw38fVVduIFlfg/4nST7bFKd5sJwXSJ9p79Sx/JjDV9jHm/IWXXYsZ5vXOG5l/XPbSj8NrhevwkcvZHyV7BTp5PO55KcPFW3Bye5Lsmx/aSl6HwaO2ji8fQVpv3mrhSa5FZNard+bwQemeQeKzz3VOArwAfmWaFZVttGSf4d8DTgzzdSXlV9Fvgyu/8eG5Thunzezy07lYOAzw1aoxU06LQuAY5KsvdEmduAJwFf3c2yV7SjzlV1VVVduRvlrNjpVFUBfwA8M8n+/bz3Bf4W+B9V9T/7+Zai82mpqr6x4wFcOT2tqq5KckSSDyXZnuSKJO9NcshkOf1O1uuSnJTkMuAjSfZO8tYk1/SjDS9I8p7JT8P9jtHzklzY7wh9NsnRE8+/GXgYcNzETu89VliV04BvAsdM1WsvurZ9SlXdNOv1Jup0QpIvJbkhydeSvHSt+iS5dZJX9Ot5fZKPJ3nwrG20yr/l54GbJp/v63CLUZck/6F/rUMnJp8K/Moq5S6GqvKxJA/gzcB71ng+wPOAC4HrgM8CR088fwTwIWA7cAXwXuCQqfJr6nEP4IPAq9eqSz/P64CTgMuAT66nTmutJ/DPwDET038BuAh4y9Rr7856rVTnm9cNuBPwdeB3J8q7P3A9cOQq9T8S+DcgKzy3B/BF4A+BA+hC9G3T8wK/C3x46Da3FR/99q0Vpv9S/7hP/z/6S+AC4FZT7fRbwMnADwOHAH9G94nxUcD9gL8ArgLePLHcHwDn923tB4FfBa4FHts/vw/wUeAU4MD+secq9f+j/vX2mJj2i8D3gLuu5/X6eV5Kt6Px68C9gZ8BnrVWfYBX9u35sf26vwG4BjhorW20ynq8Enjf1LS/Av731LQPsHP/cQRwI3DbodvTLrfDoSvgo+E/c3a4zuoA1ux81nhDfnCFN8ct6rLaG3I9ncRq6wkcB3xoYvrf0oXO9GvvznqtVOfp8h/ddwQ/A9wW+DzwpjXqv1OnM/X8U+g673OAM5jo/CfmWfjOZxPfByuG6wrz7U0XWA+eaqefmfj7dv12fuLUctvpw7X/+zrgIVPlv4Ju6H+y7Fevo173odvB+7mJaacB/3e9r9fX+3rgmWu8zi3q05d7I/DkiWl70u34/v5q22iN8v8GeMvUtOOBCyb+fjzdDu9+U/Pdv98G9xq6Pe3qYxtaNkckuWbi7w9V1WP64dPj6d6wH+qfuyjJYXQhdVpVvWuyoCTHAFcDh9F9SroqyY3At6sbftsx33rrdlFVnTCx3Mw6zSjvHcBJSe5DF4JHAM8GTpycaTfX6xZ1XklVvTfJa4G3A2cCt+7rsZq70306WM1fAK+iC/1HVtWNK8zzL8BewMF0nZ9mSHfy2EuAB9KNOOzRP+42Nes5E7/fi247f2LHhKq6NsnkoZZDgdsApyepiel7ARdvtJ5V9aUkZ9F94nxfkoPpduCO2sDrHUrXDjdyfHbHut48jFtV30vysb68Secw223phrgnfRw4Ocm+dDvRJwEnVtW/Tc133UQZC8lwXT5nAc+Y+HtHI535htxA57Orpt+Qu9UpVdX2JO+m64SuBD5YVV+dDvvdXK/1dCIAz6cL9ycDD6qqa9aYd6VOZ9Kf0r0396Xbe1/Jwnc+A/g74FLg2P7nd4HzgOnj/9dO/L6jMa32f4Dvn7vyOHY+3v+dXappd2LTG/oQegrdp7tTN/B6697jnbDWuk5Pu3aFeaZdDtxxato5dJ+OfxJ4AN3/4DUrLLtv//OydbzOlmS4Lp9vV9UFK0xfzxtyvZ3PtJvY+c281wrzTb8hW3RKp9AdY72Gbkh4Jbu6XrC+TgS6Y7R3peuE7gn80xrzrtTpAJDkv9MNaz6IrjM9ju7Y2bSF73zmKcl+dMcQj6uqf+yn/Tiz+8AL6NriYXTH83eckPYjfH/E4DzgBuDuVXXGGmXdSDfMuh7vpBu9OJpu5/GtVbXjPbGe19sxz88CX1pnfS7opz2Y7lg/SfakO9zxjnXWe9K5dDsGN6uqG5KcS/ee/zXgVyfWa9KPAP9SVWvthG5phut4rPmG3EDns1IHcRndWcmTfpTZnz7X2ymt5QN9nfanO8ZzC7u5XuvSn8n5drow/CfgdUk+UlWrnbW8U6fTl/NU4L/RDZOfm+RlwIuSvLKqvj01+8J3PnO2nW6n5ulJLgHuArycbkdrVVV1TZJTgD9OcjndcP7v0O0YVj/Pt5KcRHeIInSjR7cDfhq4qape3xd3MXBYf5bwNcAVVXXTKq97XZJ3AC+m2xH784nnZr5eP88rgZcmuaGfZz/gJ6rqdavVh+4Evj/q1/Ui4Dl0J9a9dq3ttIr39tttv6lh34/RfTXqH6pqta/MPQQ4fRdec8swXEdi1huSbhhqPZ3Pxez8hjwDeEWS/0h3ctKxdJ/iLt6dOk10SmuVUUnuT3c27Q0rzLLeTnWl9VqvlwB3Bg6nOxHpCOBtSR6xSue5U6eT5OfpOrCjJ44/v4Hu+7DHAn8yVcbCdz7zVN3XV46iG3L/HN2ntBOAd625YOe5dCf7nErXNv6ELnCun5jnRXRD/c+lC6irgU8BL5uY5yS6UZbz6Ibzf5C13yNvBP4z8NGq+sLUc+t5vRfQtf8XAf++n/+tM+rz/P65NwE/QLcjeERVrXWOwIqq6rNJPgE8kVsO/X6Krs9Z8UIoSW4DPIHuOPPiGvqMKh/tHqzvqzjP5vufGC8D/gF4VP/8I+k6nuv7n4+m60yeMlHGD9HteX6b739lZS+6N8/l/ePE6bqwypmSs+q0i+s5/dq7ul6r1fnm8um+K/gd4OETzx8I/CvwgjXq+DG6T9MAP9XX5zkrzHcC3VD2rSem3YYuxH966DY3xgfdiULfAE4Yui5b/UG3o3k+E187At4HvGaNZY5jjbPpF+WRfmUkzVGSI+i+knNoVX1vg8seB/xCVf3cplROt5DkAXSHFj4B3J7u093jgPtW1deGrNsiSPJf6L4mdz3d4ZD/Stfut68y/zOAM6vq/LlVchM4LCwNoKpOT/IauuG6r2xw8e+w9ld91N7xwH3pDid8Cniowbo+VfWnSR5Od/jofOCXVgvWfv6Zh4MWgZ9cJUlqzGsLS5LUmOEqSVJjhqskSY0Zrpq7JMcluSzdLbwOH7o+ktSaJzRprvqrGV1N9x3NTzcs98XAvavKe5xKGpyfXDVvB9BdBOHzQ1dEkjaL4aoNS3Jxkt9LckGSK5I8c53LfZ7ue24AV04OCyfZN8n/SvLNJBclefrEcs9L8uUk30ry6f5SgTuee0h/i73fBo7qy7wmyZ0n6nr4xPyV5N5T6/IbSc5Jcm2SU2fVp3/+Pkk+nOTqJF9P8nw2WaZv9yNpy/IiEtpVD6S7ofGjgbckeWNVzboI+v36a/deBPzA1Pxvo7tk4D3o7lF6VpJzq+psuuujPgb4IvBY4N1J7lJVl1d3Hd7b7eaw8LF01z89n+5WWLPqA90lHj8NPJTuvqv324XXXbf+tnlvS/K42vnel5K2GD+5aledUt2dWk6juyTcgbtaUJKD6MLz+Kq6rqoupLvl1hMAquoNVXV+dd5Dd+/W6Zs3747XV9Xnq+q7VfXxWfXp3US3zgdV1faq+nDD+uykr8MZwPv7O/1I2sIMV+2qKwCq6sb+79vsRll37X9elOTKJFcCT6U7PkuSJ/XDwVf0z92Jle8Xu6um73e5Zn16z6M7Mevsfnj8l9f7Ykke3w9Pb+gBvBD4MVa/b62kLcJhYW0Fl9Bd1Hu/6YvYJ7k73a23HgF8rKoqyRXsfHP2Fe+L2Ze7rS/rDqvMMz2cvWp9dqiqS4Fj+uOgTwdeD/zVKuVPL/s37Fz/mZK8hO6C8SdudFlJ8+UnVw2uuntFnkl3k+a9k+yV5EFJfpTuPppFd/xzzyTPpbvP5LRvAD+cZHqH8UvAYf3vRzaoDwBJnpDk4Oq+y1bAt9a/xhvXn4R1OPCzHnOVtj7DVVvF0XQ3HL+A7p6ufwxsq6rzgJPpbvf1dbrju19dYfm/pBumvTTJ15LcqZ9+IvCkJGf1y+5WfSae/0ngnP5M5d8Afm0DZW9YVV0APMhglRaDF5GQJKkxP7lKktSYJzSpmX6IdDWPqKpPzq0ykjQgh4UlSWrMYWFJkhozXCVJasxwlSSpMU9o0kxJPgg8bOh6aNOcWVUPH7oSW9Uc2r/bfwl5QpNmSlJVtWm3O7P85S5/0bn9tSscFpYkqTHDVZKkxgxXSZIaM1wlSWrMcB2JJL+V5EH970f2Nx6/OMlDh66btNls/5o3zxYeiSSXAodW1VVJvgi8vH/qWVX1gBnLLvTZkpY/bPlbwZjbv4ZhuI5Ekquqap8kBwNnV9XB/fSrq+oOM5Zd6M7F8octfysYc/vXMLyIxHh8JsmrgAOB0wGSHASsdScbaVnY/jVXHnMdj2OA/YAbgBf20x4InDJYjaT5sf1rrhwW1kyLPixm+cOWv+jc/toVDguPSJIfB54A3Lmqjk1yf2DPqjp34KpJm872r3lyWHgkkjwNOBW4PfAr/eS9gVcMVilpTmz/mjeHhUciyYXA4VV1UZLtVXXHJHsB36yqfWcsu9DDYpY/bPlbwZjbv4bhJ9fx2Bu4tP99xx7VXsD1w1RHmivbv+bKcB2P9wOvTbLPxLQXA+8bpjrSXNn+NVeG63g8GzgIuALYJ8k1wP2A5wxaK2k+bP+aK4+5jkySA4G7ApdU1TfWucxCH3Oy/GHL30rG2P41DMN15JLcsaq2z5hnoTsXyx+2/K1sDO1fw3BYWF8ZugLSgGz/2hSG64gl2R+4aeh6SEOw/WszeYWmJZbkrDWe3hM4BHjTnKojzZXtX0PymOsSS3Id8MxVnr4ROL+q/nkd5Sz0MSfLH7b8odj+NSTDdYkl+VZV3b5BOTaSJbeMnfsitf9l3P5j57DwcvuhVgUt8p675c8uf7PKHtjCtP/NKlvDMVyXWFV9ffLvJHcBjgAOAP4VeG9VXTJE3aTNZvvXkDxbeCSSHA2cDzyR7so0RwHnJXnSoBWT5sD2r3nzmOtIJLkYOLKqzp6Y9lPAO6vq7jOWXfhhT8sfrvytYMztX8Pwk+t47AV8YWra/8NDAxoH27/myoY1Hm8DTk/yerrjTQcATwfemuSRO2aqqjMGqp+0mWz/miuHhUciyUXrmK2q6p4rLLvQw2KWP2z5W8GY27+GYbhqpkXvXCx/2PIXndtfu8Jh4ZFIsuMMyQPo/u83v5mr6teHqpc0D7Z/zZvhOh7vB94IfAL47sB1kebN9q+5MlzH42PAR+i+6/e9gesizZvtX3NluI7Ht4F3A5dzyz33AnY6iUNaMrZ/zZXhOh4PBQ6oqquHrog0ANu/5sqzhUciySeBG4ALmRoWm3VCx6KfLWn5w5a/FYy5/WsYfnIdj1cPXQFpQLZ/zZWfXDXTou+5W/6w5S86t792hZ9cRyTJvsChdNdZnfyen5d809Kz/WueDNeRSPIYurMlrwT2B64C9gG+imdLasnZ/jVvhut4/CHwi1X190m2V9V+SZ4L7D10xaQ5sP1rrjzmOhJJrqqqffrfL6+q/ZNsAy6tqgNmLLvQx5wsf9jyt4Ixt38Nw/u5jsflSe7d//61JA8E7oajFxoH27/mynAdjz8DHtb/fjJwJvA54LWD1UiaH9u/5sph4ZFKcjdg76r6wjrmXehhMcsftvytaEztX8MwXDVTEhvJkrNzX9082r/bf/l4vGEkkvwW8JGq+miSI4HXA1cDT66qs2Ytv8h77pY/u/zNKnur2Ortf7PK1nD85DoSSS4FDq2qq5J8EXh5/9SzquoBM5Zd+PCw/OHK3wrG3P41DMN1JHZ8FSHJwcDZVXVwP/3qqrrDjGUXunOx/GHL3wrG3P41DIeFx+MzSV4FHAicDpDkIOCaQWslzYftX3PlV3HG4xhgP7rbbr2wn/ZA4JTBaiTNj+1fc+WwsG6W5Ceq6pwVpi/0sJjlD1v+oljW9q9h+MlVk/5x6ApIA7L9qxnDVZPce9aY2f7VjOGqSR4j0JjZ/tWM4SpJUmOGqyRJjRmukiQ1Zrhqkid0aMxs/2rGKzSNSJI96K5Qc5vJ6VX15f7n7YeolzQPtn/Nk+E6EkmeQXex8ukOpIA9518jaX5s/5o3r9A0EkkuB54GnFZV39ngsgt9hRrLH7b8rWDM7V/D8JjreGwHTt9oxyItCdu/5sph4fF4O/DXSU4Brph8oqrOGKZK0tzY/jVXDguPRJKLVnmqquqeM5Zd6GExyx+2/K1gzO1fwzBcNdOidy6WP2z5i87tr13hMVdJkhozXCVJasxwlSSpMY+5aqYkNpIl5zG/1c2j/bv9l49fxdG6LPIJHZY/u/zNKntZuP21UQ4LS5LUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOE6QklOHLoO0lBs/5oHv+c6Qkm+V1XrvkH0MnzVxPKHK3+rGVv71zD85DpOvpE1ZrZ/bTrDdZwcrtCY2f616QxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1xHJMnjk9yq/31bkicMXSdpXmz/mifDdVz+E/Cu/ve/Bn55wLpI82b719wYruNyNHAt3YXLr+3/lsbC9q+58ZZzI5NkD+Ao4P9U1U3rXGahb7ll+cOWv5WMsf1rGIarZkpiI1lydu6rm0f7d/svn21DV0CLYZH33C1/dvmbVfaycPtrozzmKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNGa6SJDVmuEqS1JjhKklSY4arJEmNpaqGroO2uCQ2kiVXVRm6DlvVPNq/23/5bBu6AloMm/nmT1KWP2z5m1X2snD7a6McFpYkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxgxXSZIaM1wlSWrMcJUkqTHDVZKkxlJVQ9dBW1wSG8mSq6oMXYetah7t3+2/fLYNXQEths188ycpyx+2/M0qe1m4/bVRDgtLktSY4SpJUmOGqyRJjRmukiQ1ZrhKktSY4SpJUmOGqyRJjRmukiQ1ZrhKktSY4SpJUmOGqyRJjRmukiQ1ZrhKktSY4SpJUmOGqyRJjRmukiQ1ZrhKktSY4SpJUmOGqyRJjRmukiQ1ZrhKktSY4SpJUmOpqqHroC0uiY1kyVVVhq7DVjWP9u/2Xz7bhq6AFsNmvvmTlOUPW/5mlb0s3P7aKIeFJUlqzHCVJKkxw1WSpMYMV0mSGjNcJUlqzHCVJKkxw1WSpMYMV0mSGjNcJUlqzHCVJKkxw1WSpMYMV0mSGjNcJUlqzHCVJKkxw1WSpMYMV0mSGjNcJUlqzHCVJKkxw1WSpMYMV0mSGjNcJUlqzHCVJKmxVNXQddAWl8RGsuSqKkPXYauaR/t3+y+fbUNXQIthM9/8Scryhy1/s8peFm5/bZTDwpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLU2LahK6CFcGaS2swXsPxByz9zE8teBpvd/t3+SyhVm9onSJI0Og4LS5LUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJjhqskSY0ZrpIkNWa4SpLUmOEqSVJj/x+U92VqbpUvJwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1221,32 +1069,22 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Hyperparameters and Model Validation" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Cross-Validation Figures" ] }, { "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 43, + "metadata": {}, "outputs": [], "source": [ "def draw_rects(N, ax, textprop={}):\n", @@ -1263,28 +1101,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### 2-Fold Cross-Validation" ] }, { "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 44, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmYAAAGqCAYAAACh7ojYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nnOjGf5sKAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1302,28 +1133,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### 5-Fold Cross-Validation" ] }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 45, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAGqCAYAAAAx/fEXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwACiCwAAwACiCwAAwACiCwAAwID/A+awRviS8pn9AAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1341,22 +1165,15 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Overfitting and Underfitting" ] }, { "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 46, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1373,12 +1190,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 47, + "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import PolynomialFeatures\n", @@ -1392,28 +1205,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Bias-Variance Tradeoff" ] }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 48, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCYAAAF9CAYAAADY2mmsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAGkUEwAAAECaL44a1wDqBaGbAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1444,28 +1250,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Bias-Variance Tradeoff Metrics" ] }, { "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 49, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCYAAAF9CAYAAADY2mmsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMAEAAAAAACzz/wHBdPoar16gEwAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1503,28 +1302,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Validation Curve" ] }, { "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 50, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAFwCAYAAACCbrOvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd8FNX+//HX7G6yKQQSQgiBhNAJvYqAFFF6EfALIiII\nwgWuKCg/BeViAS4oggIRBFTAi4KXIkWKdKmX3lU6SC8hvW+Z+f0xZiEkQEiyqZ/n47GPsLPJnJPJ\nknfOmVMUTdM0hBBCCJFnGHK7AkIIIYRITcJZCCGEyGMknIUQQog8RsJZCCGEyGMknIUQQog8RsJZ\nCCGEyGMknEWu6d+/P61atXro62fOnCEkJIQ1a9Zk6HzLli0jJCSEuLg4AF555RXefPPNh36+3W4n\nJCSEhQsXZrjOFouFCRMmsH37dsexli1b8umnn2b4HFn1888/06dPH55++mkaNWrEyy+/zLp163Ks\n/Mw6efIkw4YNo3HjxtSqVYvWrVszceJEIiIiMnyOvXv3EhISwunTp51Y06yZOXMmS5YscTx/3PtQ\niPSYcrsCovDq1q0bH3zwAceOHaNu3bppXl+zZg1eXl60bds2w+dUFMXx7wkTJmAyZe9b/NatWyxa\ntIimTZs6js2dO5dixYplaznpsdlsDBs2jP3799O7d28GDx6M0Whk+/btvPvuu/z++++MHj3a6fXI\njN9//50+ffrw7LPPMnHiRLy8vLh48SJz585l165drFy5End39wyd6/6fcV5jt9uZOXMmY8aMcRxz\nxvtQFHzyjhG5pl27dowfP57169enG87r16+nQ4cOmM3mTJ2/YsWKWa1iGumt2RMSEpLt5aRn1qxZ\n7N69m3nz5tG4cWPH8WbNmlGiRAlmzJhB+/btqVOnTo7U50ksXLiQ8uXLExoa6jjWqFEj6tatS/fu\n3Vm7di09e/bMxRpmj/TeH854H4qCT7q1Ra5xd3enbdu2bNiwIc1rBw8e5ObNm3Tr1s1x7NixYwwa\nNIinnnqKWrVq0aFDB5YtW/bQ8/fu3TtVd+LFixd5/fXXqVevHu3atWPPnj1pvuZRZVy5coV27dqh\nKArDhg3j9ddfB6BFixapurWvXr3K8OHDadq0KQ0aNODNN9/k6tWrjtenT59Or169WLNmDe3ataN2\n7dr07NmT48ePP/R7sVgsLFq0iNatW6cK5hT9+/enT58+jlbltGnTeOqpp1J9zu+//05ISAhHjhwB\n4L333mP48OG888471KtXj+HDh9OqVSvGjx+f6uuioqKoWbMmq1atAiA+Pp5x48bxzDPPUKdOHV57\n7bXHdjOHh4c/9A+b0aNHU7ly5VTlffDBBzRt2pSGDRsyaNAgzp8/n+rr/vjjD3r37k3t2rVp06YN\nK1asSPX63bt3effdd2nUqBH16tVj2LBh3Lhxw/F6ys9g5cqVtGnThrp16zJw4EDu3r3LokWLePbZ\nZ3nqqacYPXo0FovF8XUXL15k+PDhNG7cmJo1a/L8888zZ84cQG8116xZE0VRmDRpEu3atQPSvg8z\n8v0JIeEsclW3bt0ICwvj0KFDqY6vWbOGsmXLUr9+fQCuX7/Oa6+9RrFixQgNDWXWrFkEBwfz0Ucf\nceHChXTPfX/3Z2xsLH379iUmJoZp06YxaNAgPvjgg1Sf87gyAgICmDFjBpqmMWrUKMaOHZumnJs3\nb9KjRw+uX7/O+PHjmTRpEpcvX6Z3796p7q2eP3+eWbNmMWLECL766isSEhJ455130g0wgBMnThAT\nE0OLFi3Sfd3NzY2xY8dSu3ZtR53S6/598Ni2bdswmUx8/fXX9O3bl44dO7J58+ZUn7Nx40ZMJhNt\n27ZF0zSGDh3Kpk2bGDlyJKGhoZhMJvr27Zsq/B7UokULzp49S9++fVm5cmWqz+3fv7+j58Rms9Gv\nXz/27t3LqFGjmD59OvHx8bz++uuOsQSapvHpp5/SuXNn5s6dS8WKFRk7dqzjfZCYmMirr77KiRMn\n+OSTT5gyZQo3b97k1VdfdZwD4Ny5c8yfP58xY8Ywfvx4jhw5wquvvsqaNWsYP348w4YNY/Xq1fz4\n448AxMXF0bdvX+Li4pgyZQrffvstjRo1Yvr06ezatQuj0cjixYvRNI3+/fs7egnuv+YZ+f6EAOnW\nFrmscePGBAQEsG7dOho2bAiA1Wpl48aNDBgwwPF5586do2HDhkydOtXxy65mzZo0bdqUQ4cOPbbr\ncPny5cTGxrJ69WpKlCgBQJEiRXjnnXeeqIxq1aoBEBwcTIUKFdKUM2/ePFRV5fvvv8fLywuAhg0b\n0rp1axYsWMD/+3//D4CEhASmT5/u6BK3WCwMHz6cs2fPUrVq1TTnvX37NoqiULp06Qxc1Yd7MPxV\nVWXcuHF4eHgA4OXlxfz58zl06JDj57FhwwZatmyJh4cH27dv59ChQ/zwww+O15s1a0aHDh2YM2dO\nmlZ3in79+nHnzh0WLlzIoUOH0DSNwMBAnn/+eQYOHEjJkiUB2Lp1K+fOnWPJkiWOPzRCQkLo1asX\nf/75p+N8b775Jn369AGgatWqNG3alAMHDlCxYkVWrFjBtWvX+PXXXwkKCgL099mzzz7L4sWLGTx4\nMKCH+Oeff+74mW7dupXNmzezcOFCSpYsSYsWLdiwYYOjR+PSpUtUqFCB6dOnU7RoUcd5N27cyMGD\nB2nevLnjlkLp0qXT/Tk+7vtr1KhRBn+SoqCTlrPIdV26dGHTpk2O4NixYwexsbF07drV8TnPPvss\n8+bNw2q1cvr0aTZs2MC3336Loiipuh0f5ujRo4SEhDiCGaBNmzapWjVZLQPg8OHDNGnSxBHMAL6+\nvjz99NMcPHjQcczV1TXVvWp/f39AD4z0GAz6f9Xs3qemRIkSjmAGPSgqVKjguNUQERHBgQMH6NKl\nCwD79+/H09OTevXqYbfbsdvtaJpG06ZN2bdv30PLURSF9957j507dzJx4kQ6depEUlISCxcupFOn\nTpw6dQrQbyt4e3s7giuljlu3bnUEl6IoqcYoFC9eHDc3N2JjYx11rFChAqVLl3bU0c3Njfr167N3\n717H1xmNRkcwp5RTokQJxx8KAN7e3o7z1qpVix9++AEPDw/Onz/Pli1bCA0NRVXVDL8/MvL9CQHS\nchZ5QPfu3Zk7dy779u2jSZMmrFu3jkaNGhEQEOD4HLvdzqRJk1i+fDk2m42goCBHyy0jgRUdHY2P\nj0+qYyaTCW9v72wrI6Wc9Aa3lShRgmvXrjmePzjIzWAwoGkaqqqme94yZcqgadoju45v377tCPmM\n8vX1TXOsc+fOLF68mLFjx7Jx40Y8PDwc3elRUVHExcVRo0aNVF+jKApubm6PLc/Hx4cXX3yRF198\nEdC71UeNGsXnn3/OggULiIqKSrdOD3qwLEVRHNcuKiqKs2fPplvHSpUqOZ7f/0dJiseNGJ81axYL\nFiwgPj6eMmXKUL9+fUwmU4bfHxn9/oSQcBa5rly5ctStW5f169dTu3ZtfvvttzTdozNnzmTlypV8\n8cUXNG/eHLPZTFxcHMuXL89QGd7e3ly/fj3VMU3THK2i7CgjpZzw8PA0x+/evZvqD4EnVaNGDYoV\nK8auXbvo0aNHmtctFgsdO3akc+fOjBs3LlVYpUhISMjQNKTOnTsTGhrK4cOH2bhxI61bt8bV1RXQ\nu71LlizJnDlz0gTSw859/fp1evXqxSeffELr1q1Tvfbcc8/RrVs3Nm3a5Dh/evOe9+3bR3Bw8GPr\nnnKOGjVqMGHChDR1zOzIf9BvjcycOZMJEybQoUMHPD09AXj66aczfI7HfX/3/0EqCjfp1hZ5Qteu\nXdm2bRvbt2/HaDSmmdt8/PhxateuTevWrR2/YHfu3AlkrFX79NNPc/r06VSt1127dmGz2Z6ojJTu\n5YdJ6Tq9P/TDw8PZv38/DRo0eOTXPio4jUYjffr0YcuWLezfvz/N63PnziUhIcHR/VykSBESEhJI\nSEhwfM793eqPEhQURO3atVm9ejWHDh2ic+fOjtcaNGhAeHg4RYoUoUaNGo7HypUrH7pYTEpr/scf\nf0y3Z+DSpUtUqVIFgHr16hEZGcmJEyccr0dGRvKPf/wjVZf0ozRo0IBr164RGBiYqo7z5s1jx44d\nGTpHeo4fP05gYCA9evRwBPOJEyeIjo7O8PsjO74/UThIOIs8oVOnTsTGxhIaGkq7du3SdFvWqlWL\nI0eOsHjxYg4ePMi3337L2LFjMRgMJCUlPfb8L774IqVLl2bo0KFs3ryZVatW8dFHH6VaHCIjZaQM\nBNqzZw9nzpxJU86AAQNQFIXXXnuNzZs3s3HjRl5//XXc3d159dVXH1nHx/2RMXjwYOrWrcuQIUOY\nMmUKu3fvdnQLz549m8GDBzu64Vu0aIGqqowZM4b9+/czf/58li5d+tjrlKJTp078/PPPeHt7p1pw\npXXr1oSEhDBo0CBWrVrFvn37+Pjjj1m0aFGq6VD3M5lM/Otf/+LAgQO88sorrFq1ikOHDrFlyxaG\nDRvG4cOHefvttx3nr1KlCm+//TZr1qxhx44dvPnmm5QuXZr27dtn6Dq99NJLeHp60r9/fzZs2MD/\n/vc/hg8fzqZNm6hevXqGr8GDatWqxbVr15g9ezYHDx5k8eLFvPHGG6neH4qiUKRIEQ4dOpQqgO+/\nfo/7/oQA6dYWeUTRokVp1aoVmzZtYuLEiWleHzp0KOHh4Xz11VdYrVaCg4MZN24cK1as4OjRow89\nb0pr1M3NjR9++IHx48czevRovL29effdd1OVlZEyihYtysCBA1m8eDHHjh1jxYoVqaYtlSlThsWL\nF/P5558zevRoTCYTjRs3ZubMmfj5+aWpV3p1fRg3NzcWLFjAwoULWbduHUuXLsVgMFCpUiVmzJhB\nmzZtHJ9buXJlJkyYwNy5cxk8eDB16tQhNDSUl19+OUNlduzYkc8//5z27dun+hyj0ciCBQuYOnUq\nU6ZMIT4+nnLlyjF58mReeOGFh9a9Q4cO+Pv7M3/+fL744guioqIoWrQoDRs2ZPny5Y57wS4uLnz/\n/fdMnjyZf//734C+WMnnn3/uuEf8sGuXcrxIkSKOn8HHH3+M1WqlSpUqzJ49myZNmmT4ej+oZ8+e\nXL58mcWLF/PNN98QGBjI4MGDOX36dKr34PDhwwkNDeXgwYOO1nBKWRn5/oQAULTsHv4phBBCiCyR\nbm0hhBAij5FwFkIIIfIYCWchhBAij5FwFkIIIfKYPBPOMi5NCCGE0OWZqVSKohAWFvv4TxSZ5ufn\nJdc4B8h1dj65xs4n1zhn+Pl5pXs8z7SchRBCCKGTcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAlnIYQQ\nIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAln\nIYQQIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHyGAlnIYQQIo+RcBZCCCHy\nGAlnIYQQIo+RcBZCCCHyGAlnIYQQIo8x5XYFhBBCiPxA08Bq1R82G9hsCna7ftxuv/dQVbDblVTP\nU75e0+79W1Ggdev0y5JwFkIIUaBpGiQn64+kJOWBj5CcrJCUpB+zWMBi0YNX/6g/t1oVrNbsr5uE\nsxBCiALDZoO4OEhIUEhISPmo/zs+/v5jkJioOFqv+YWEsxBCiDwjpZUbF6cQG5vy8cF/KyQm5nZN\nnUvCWQghRI6yWiE6WiEmBqKiFKKiFGJi9I/R0Xp3c2En4SyEECLbWa0QGakQEXHvER2tEB2tt4DF\no0k4CyGEyBRNg9hYHOEbGakQHq5/jIlRHCOTxZOTcBZCCPFYiYkQFqZw967+CAszcPeudEE7i4Sz\nEEIIB1WFu3cVrl+Hs2eNfwexIl3ROUzCWQghCim7XQ/i27f1x61bBsLCFGw28PSE+Hhjblex0JJw\nFkKIQkBV9W7pmzdTwlgPYrs9t2uWv5hM4OICLi4aJhMYDGA06g+DQUv1XD+mPxQl5aGh/N0JYXzE\n3z4SzkIIUQDFxcHNmwZu3NAD+eZNg1NWuMovTCZwc9Mwm8HNDcxmDTe3e8fMZg13d3B1BVdX7e8A\nTv1vFxc9aHOkvjlTjBBCCGex2+HOHYUbNxRu3DBw86Y+Z7igc3ODIkU0PD01PDxwfPTw0P5+4Pjo\n4oKjxZofKJomg92FECI/sdng+nW4fFl/XL2qr/9cUCgKFCkCRYvqDy+ve/++/5iLS27X1HnyVDiH\nhcXmdhUKND8/L7nGOUCus/MVtmtsscCNGwpXrxq4dk3vorbZnFump6eZ+HjnzZNycwNvb41ixVI/\nvL01ihbVu6ELAz8/r3SPF5JvXwgh8g+bTQ/jy5cNXL5s4Nat/LdxA+gB7OOjUbz4vUdKILu55Xbt\n8jYJZyGEyGWapt8zvnxZD+Rr1/LP4C1F0VvA9wdw8eIaPj4anp756z5vXiLhLIQQuSA6GkfL+K+/\nDPlilyUPDw0/v3uPEiU0fH01XF1zu2YFj4SzEELkALsdrl1TuHjRwMWLBsLD826T0mAAf3/w8FAp\nWVJ1BLGnZ27XrPCQcBZCCCeJi4NLl/Qw/usvQ55ch9pohBIlNPz9Vfz9NUqV0oO4dGkzYWFOHnUm\nHkrCWQghsommwc2bChcu6IF8+3beax37+mqULq1RurQexiVKaIVmZHR+Ij8SIYTIApsNrlxROH/e\nwLlzBuLj804gu7lB6dIqpUtrBASoBATIKOn8QsJZCCGeUHIyXLxo4Px5vYWcV7qrfX01AgPVv1vG\n+qhpGS2dP0k4CyFEBsTFwYULeuv48mVDrm8YoSjg56cRFKQSGKiHsgzYKjgknIUQ4iHi4+HcOQOn\nTxu4etVAbq6naDBAqVJ6CAcFqZQpI13UBZmEsxBC3CchAc6fN3DqlB7Iubkyl6+vRrlyKsHBKkFB\n+u5JonCQcBZCFHqJiXognz6td1nnViAXKaIRHKwRHKxSrpxKkSK5Uw+R+ySchRCFks2mB/Kffxq4\ndCl37iGbTFC2rB7E5crpq23JAC4BEs5CiEJE0+DqVYU//zRw5owxV0ZZFyumUaGCSoUKKmXLagV6\n20OReRLOQogCLzxc4Y8/9PvI0dE52zQ1GCAwUP07kKV1LDJGwlkIUSDFx8Pp0wb++MPIrVs5m4Zu\nblCxokqlSnqXtQzkEk9KwlkIUWCoKvz1l8KJE0bOn8/ZgV1eXhqVK+uBHBSkYTTmXNmi4JFwFkLk\ne1FRcPKkkd9/NxAbm3OtZF9fPZCrVNHXqZbuapFdJJyFEPmSzQZnzxo4ccLAlSuGHCvX31+jalWV\nKlXsFC+eY8WKQkbCWQiRr9y5o3DwIOzd60pSUs6U6eenERKiUrWqBLLIGRLOQog8z2aDM2cMHD9u\n4No1A56eOD2YfX1TAlmlRIlcXLdTFEoSzkKIPCsqCo4fN3LypIGEBOff0PXx0ahWTQ9kPz8JZJHa\nzZs3CAgonSNlSTgLIfIUVYVLlxSOHTNy8aLzN5twc4Nq1exUr65vtSiDukR6bt26xRtvDOLHH5fi\n6en8dVUlnIUQeUJCApw4YeT4cecvFGI0QqVKKtWr64uDyLQn8SiqqjJx4sfcvRvGlCmf8sknE51e\npoSzECJXhYUpHD5s4M8/jdhszi0rKEgP5CpVVNzdnVuWKDimTZuCq6sZRVFISkrk+++/o3//QU4t\nU8JZCJHjNA0uXlQ4dMjI5cvOnQZVtKhGzZoqNWva8fZ2alGiAPrqqy9p3LgpFSpUpFevbkyYMJkt\nWzayePEPvPJKX6eVK+EshMgxFgv88YeBw4eNREQ4r+vaaITKlfVALldOw5Bz06BFAfPqq/3x8SnO\nrVs3Hcc6dOhMRES4U8uVcBZCOF1MDBw5YuTECaNTp0CVKKFRq5Y+uMvT03nliMLDxyf9ie3Fi/s6\ntVwJZyGE09y+rXDggJEzZ5y3zrWrqz7aulYtlYAAGW0tCgYJZyFEttI0uHxZD+W//nJef7Kfn0a9\nenor2dXVacUIkSsknIUQ2UJV9bWuDxxw3haNRiNUrarSujWYzVZpJYsCS8JZCJElVqs+yOvgQSOR\nkc5Jy2LFNOrUUalVy46nJ/j5QViYU4oSIk+QcBZCZEpSEhw9auTwYecsrakoUKGCSr16MuJaFD4S\nzkKIJ5KQAIcPGzlyxEhycvaf32yGWrXs1Ktnx8cn+88vRH4g4SyEyJD4eDh40MixY0Ysluw/v7e3\nRv36+qhrszn7zy9EfiLhLIR4pLg4OHDAyPHjRqzW7D9/2bIqDRqoVKyoSte1EH+TcBZCpCsmRg/l\nEyeyf81roxFCQlQaNrTj7y9bMwrxoDwVzn5+XrldhQJPrnHOyM/XOToadu2Co0fBbtfvAWdXN7Ob\nGzz1FDRqBF5ZvET5+RrnF3KN77FYYgAoUaIIrjkwsT5PhXNYWGxuV6FA8/PzkmucA/LrdY6Lg337\n9O5ruz17z+3lpdGwoZ3atfX7yUlJZGkZz/x6jfMTucapRUTEA3D3bhwuLi7Zdt6H/QGUp8JZCJHz\nEhJg/34jR49mf/e1r69Go0b6Kl6yZ7IQGSfhLEQhlZSkj74+fDj7R18HBqo0amSnYkVZ61qIzJBw\nFqKQsVj0HaIOHMj+HaIqVdJDOTBQBnkJkRUSzkIUEjYbHD1qYN8+E4mJ2XdeRdHXu27c2E7JkhLK\nQmQHCWchCjhV1de+3rPHSExM9vUxK4o+HapJEzslSkgoC5GdJJyFKKA0DS5dUtixw0RYWPaFssEA\n1aurNG5so3j6+9ALIbJIwlmIAujmTYUdO4xcuZJ9S24ZjVCjhp3Gje14e2fbaYUQ6ZBwFqIAiYyE\nXbtMnD6dvaFcq5YeykWLZttphRCPIOEsRAEQHw979+qbUqhq9pxTUaBmTZUmTWzSUhYC0LScG1sh\n4SxEPmazwaFDRvbty765yikDvZ55Ru4pC5GiVKkAdu06mGPlSTgLkQ9pGpw5Y2DHDiPR0dk32KtK\nFZWmTWVKlBC5TcJZiHzm1i2FbduMXLuWffeVK1RQadbMTqlSEspC5AUSzkLkE3FxsHOnid9/z75Q\nDgpSad5cVvQSIq+RcBYij7Na9TWw9+83YrVmzzlLlNBo2dJGhQqy9rUQeZGEsxB5lKbBqVMGdu7M\nvpW9vLw0mjWzU6OGiiH7GuBCiGwm4SxEHnTnjsLWrUauXs2eBHVzg0aN7DRoYCcbt6IVQjiJhLMQ\neUhSEuzZo++tnB3zlY1GqF/fztNP2/HwyPr5hBA5Q8JZiDxA0+D33/WpUQkJ2dOFXb26SvPmNooV\ny5bTCSFyUIEMZ5vNxoED+zAYDDRs2AiTqUB+m6KAuH1bYcsWE9evZ08oBwaqPPecTIsSIrvcvXuX\n27dvERxcDrPZjNFoxODkQRv5PrUsFgszZkzlxo3rTJs2C4vFwtChAzh//hwAwcHlCA2dg4+PLHUk\n8pbERNi9W19yMztWBSxWTOPZZ+1UqaLKCGwhssGJE8eYPn0q58+fBWDatFnY7XY+/XQ8b775Ds8/\n38ZpZef78ZoLFnzLL7+sxN+/FAAbNqzj3Lmz9OjRiw8++Ijw8HC++25OLtdSiHs0DU6cMPDdd64c\nPZr1YHZ1hRYt7AwcaKVqVQlmIbLDqVN/8Pbbw0hISKBnz96O40WLFsVkMjF+/Fj27t3jtPLzfct5\n27bNdO7cldGjxwKwffs2PD2L8MYbIzCZTNy4cZ01a1bx3nu5XFEhgLAwhU2bsqcLW1H03aKaNbNT\npEg2VE4I4fDtt7MpXbo08+b9QGJiEkuXLgYgJKQ633+/mH/+cyA//LCAJk2ecUr5+T6cw8LuUKNG\nLQCSkpI4duwITZs2c9xn9vf3JzY2JjerKARWK/zvf0YOHsyeUdhly6q0amXH31/uKwvhDL//fpL+\n/QdiNruRlJSU6jVPzyK88EJ3vvturtPKz/fh7ONTnIiIcAD27/8fVquFpk2bOV4/f/48JUr45Vb1\nhODiRX3AV1RU1lvLxYpptGplp3Jl6b4WwtlcXFwf+prFYkHTsml/1nRkOpxjY2Px8vLKzrpkSv36\nDVm69CdcXV1ZsWIZbm7uNG/+LLGxsaxbt5pffllJt24v5nY1RSEUFwfbtpk4fTrrQztMJnj6aTuN\nGskiIkLkhOrVa7B58wZ69nw5zWuJiYmsWbOKkJAaTis/U781IiIi6NOnT5qmfm4YPvz/UalSZWbN\nmkFUVBSjR/8LLy8vLl26wKxZM6hevQYDBgzO7WqKQkRV4ehRA/PmuWZLMFeqpPL66xaeeUaCWYic\nMmjQUM6dO8Obbw7m11/XoigKf/75O8uW/Zf+/Xtz48Z1XnvtdaeVr2jak40VtdvtDB48mD179tCp\nUye++OKLbKtMWFhspr82MjKSIkWK4PL3b6/ExEQuXrxAjRo1s6t6+Z6fn1eWrrF4vNu3FfbtK8KZ\nM8lZPpePj8bzz+ubU4jU5L3sfHKN4eDBfUyZ8ik3b95IddzXtwRvv/0uzz77fJbL8PNLvwf6icLZ\nZrMxZ84cnn/+efr168d3333H3r17GTp0aJYrCFkL50eJjIzEx8fHKefOT/LbfzZVJc3mDJpGnrzX\narPpA74OHDDi7m4mPj7z4eziAo0b23nqKTuyfk768tt7OT+Sa6zTNI2zZ89w/fo1VNVOqVKlCQmp\nlm2LWz0snJ/o7ElJSbz22mt4eXlhMpmoU6cOAQEBWCwWXF0ffuPc2VatWs7+/XtJSEhMdYPebreT\nkBDPpUsX2b59X67VTzw5m02/z2qxwI0bCtHRCpUqqXh65nbN0rp+XWHDBhPh4Vn/q6FqVZVWrWwU\nLZoNFRNCZMmtW7dYuXIZffq8RtWqIQD8+OP3bN++lT59+jl1casnCuci6UymLFmyZLZVJjMWLfoP\nc+bMxMXFFU9PT6Kjo/DzK0lMTDRJSUmYzWZ69Eh7Q1/kXaqqB3NcHLz6qjtXrhiIjFTw9tZ44w0L\nbdrYKFcu97t6LRbYtcvIkSNZX0jE21ujdWvpwhYir7h48TxvvTWEuLg4WrduR9G//2KOjY1lxYpl\nbNmyka/yEh53AAAgAElEQVS//o7Spcs4pfx8v0LY+vVrqFy5CmvXbmLOnPlomkZo6Bw2bNjOyJGj\nsVgsct85nzEY9N2ZXnzRA6MRPvkkmZ9/TqBbNxtjx5qZPt2V2Fzubbt0SWHBAhcOH85aMBuN0KSJ\nnQEDrBLMQuQhc+bMxMPDkx9/XEblylUcx//5z7f44YcluLi4MHv2V04rP9+H882bN2nfvhMeHp6U\nKROIl1dRTpw4htFopHv3Hjz3XBuWLv0pt6spntDJkwbCwxXefttC58426tfXd1gCaNvWzo0bBhIS\ncr5eiYnw668mli1zITo6a93YgYEqr71mpXlzGYUtRF7zxx8neemlVwgKKpvmtTJlAnnxxZc4duyI\n08rP9+FsMpnwuG+j2sDAIMemF6DPg7569UpuVE08AZueu47Vs27dMnDtmkLNmnYMBliyxETv3u68\n/76F8uVV3nnHjatXc/bte+6cgfnzXTh5MmvlurlB+/Y2eve2UaKEtJaFyIvsdpXk5IdPF9Y0jeTk\nrM/KeJh8H87BweU4efKE43nZssGcOXPK8Tw2Ngar1ZIbVRMZpGn37jG/+66Zs2cNVKqkUry4xpYt\nJlasMDF8uBtjxlh45x0Lvr4ax44ZOHYsZ96+CQmwZo2JlStNxMdnrbVco4bKwIEWateWFb6EyMtq\n1qzF6tUriU3nHlpCQgJr166ienXnLUKS7ydqdOrUhS++mIzVauW998bQrFkLPvzwfebP/4bg4PIs\nXfoTlSpVefyJRK5IGZVts0H//u6EhyuYzRaKFdOoUEHj44/NxMQofPCBhREjLKgqnD5toGRJjeBg\n57c6z59X2Lgx66FcvLg+4CsvDGQTQjzegAGDeeutwfTr14s2bdoTGBiEoihcv36NLVs2EhERzpgx\nHzut/Hwfzt269eDOnTusWLEUk8lEy5bP0bRpMxYs+BYAT09P/vnPt3K5luJhTCaIj4evvnLF3R3G\nj092hO5XXyXSrZsHRYtqlCqlEhsLJ04YmTLFlfLlVRo1sjutXklJ+tKbv/+etda5waAvu9mkicxZ\nFiI/qVGjJtOmzWLmzOn89NMPqV6rVKkyY8Z8TM2atZ1W/hOvEJaiSZMm7N27N7vrk2k2my3VpPCD\nBw8SHR1NvXr18PX1zcWaicc5cQLq1tX//eWX8Pbb9147dw5efRVu34YbN6BcOShZEn77TV+sw27X\nRzxnpwsXYPVqiMniZmYBAdC1K5QqlT31EkLkjoiICK5fv46qqgQEBOTIFOI8Fc6yGo1z5ZUVf9Jb\n+evECQNdu3pQqpTG5MlJtGhxr1UcEQHXrxs4e9ZA2bIqDRqoGAz3usSzi8UC27cbOXYsa2lfrJiZ\nOnUSaNTInub7FNkjr7yXCzK5xjkjW1YIywt69uzKiBEjadaspeP54ygKLF262tlVExlw/z3mW7cU\nkpKgaFGoXVtl5coEunb14MsvXfH0TKZBA33odvHiULy4Sq1a96/+lr3BfOWKvspXVrd1DApS6dMH\nVNV5Xe5CiJyxb9//2Lz5V8LDw1HT2YhdURRmzJjtlLLzXTiXKlUKNzd3x3N/f38UGfaaL6QEalwc\n/OMf7ly6ZODuXYUiRTRGjUrmlVdsrFmTQJcuHkyYYGbs2GQaNtT/Qzy4pnZ2dWVbrfoqX1ldTMTV\nFVq2tFG3roqvL4SFZU/9hBC5Y8WKZUyfPgUAH5/iOb5EtXRrFyJ5oZsqMRE6dfKgSBGNl16yYTRq\n/PabiV9+MTFihIUPPrBw+LCBF1/0oGFDO+++a6FJE+e0Qm/fVli7NutrYpcvr9K2rY1ixfTneeE6\nF3RyjZ2vsF/jl19+EQ8Pd6ZODaV4ceeNWyow3doZERcXh8Gg4OGRB3dJKOS2bDGhafDpp8nUqKG3\ninv3tlGpkivTprlSubJKjx42li9PoHNnD6pUMWV7OKsqHDhgZM8eI/YsnNrNDZ57zkaNGjJnWYiC\n5s6d2wwfPtKpwfwo+TKcNU1j3749XLp0kTJlAnnmmRaYTCYOHz7ItGlTuHLlLwAqV67KkCHDaNSo\nce5WWDhcumTg9m2FMmX0YE4ZHDZqlIXTpw1MnGimZUs7Tz2lsnNnAhUrpr3PkxUxMbB+vYkrV7I2\nUqtCBZX27W2ksxeMEKIAKFOmDJGREblWfr4L59jYWN57bwR//vk7KT3yISHVGDlyNO+9NwKz2Y3m\nzVuiqhpHjhzkvfdGMH3619Sr1yCXa174pDfNyWzWsFoVbt0y4O2ttzhT7ie3bGlnxw4TMTHg56dv\nnwjZNyr71CkDmzebSHr4inyPZTZDq1Y2atWS1rIQBVnfvgOYMWMqLVs+R4UKFXO8/Ez/ysvkreos\nmzdvDufPn2XkyFHUr9+Q27dvMWPGFwwfPpTAwCBmzvyGokX1m38REeEMGTKA//73RwnnHJYSqElJ\nsHu3kehohZAQlV69rMyc6crkya7Mm5eUZqpRmTJp92zOajAnJend6X/+mbXWctmyKh063Lu3LIQo\nuE6cOIa7uwcDBrxCUFAw3t7eGB74hZUnR2t//fXX2VmPDNuzZxddu/4f3br1AKBs2XKMGPEuI0e+\nyYsvvuQIZoDixX3p0qUby5cvyZW6Flb378fcpYsHNhucPWugUSM706Yl8eGHyYwa5caAAW6MGmXB\n31/jxg2FxYtdqFRJxd8/+/7wu3pVYf16U5Z2kHJx0Udi16snrWUhCov9+/eiKAolS/qTnJzE7du3\ncrT8TIdz/fr1s7MeGRYefpfy5cunOla+vN7lUKpUQJrP9/cvRUxMdI7UTegMBn2K0qBB7hQrpjFp\nUjJms0ZiokKlShqlStkwGpOYONFMly4emM0axYpB0aIac+cmoSjpL1TyJOx22LPHyP79WZsiVaaM\nRocOVooXz/w5hBD5z7Jlv+Rq+fnunrPVasXV1S3VMRcX098f026KqyhKupPHhXPduKFw5YrCiBEW\nqldPuf56SsbHK2gabN8ez08/uZCcrODvr4/SNhqzfo85KgrWrHHh5s3MN3ONRmjWzM5TT8kqX0KI\n9EVGRuLj4+OUc+e7cBb5g9Wq78lss6UOSJsNjh0z8MknZurUURkyxJrq9ayu/HXqlIFNm0xkZZvV\nkiU1OnWy4ecnO0gJUZitWrWc/fv3kpCQiKbdv0KhnYSEeC5dusj27fucUna+DOeYmChu3brX/x8b\nq3dbR0ZGpDoOEBUVlaN1K4zSG5Xt6alvk7h1q5GOHa2k/HFpMkH58hphYXrLunLl1F+X2ZW/rFbY\nutXIiROZXzpMUaBhQzvNm8sOUkIUdosW/Yc5c2bi4uKKp6cn0dFR+PmVJCYmmqSkJMxmMz16vOy0\n8vPlr6DQ0C8JDf0yzfHx4z/MhdoUbild0ImJsHmziUuXDHTtaqVcOY0PP0xm6FA3KlVyZehQi+O+\nbUICVKum4u2dPS3TO3cU1qzJ2kpfXl4aHTvacmSPaCFE3rd+/RoqV67CzJnfEBkZycsvdyc0dA6l\nSgXwyy8rmTbtc2rUqOm08vNdOHfo0Dm3qyD+9uCo7NhYhbg4uHtXYfToZLp2tXHpkoXJk105c8bA\nc8/ZMZs1vv/eFQ8PqFcva2MBNA2OHzewbZsJmy3z5wkJUWnTxoa7++M/VwhRONy8eZOhQ4fh4eGJ\nh4cnXl5FOXHiGGXKBNK9ew+OHz/K0qU/0apVa6eU/8ThrKoq169fJyAgAFVVc3wx8DFjPs7R8sTD\nGQz6Not9+rhTsqTG7NlJuLtrBAdrxMVBbCwMHGihalWVjz82s3u3iYAAleBgje+/T8RgyPyo7KQk\n2LjRxJkzmR+tZTbD88/L8ptCiLRMJhMeHh6O54GBQZw/f87xvH79hnzzjfOmFGc4nG02G1988QU/\n/vgjdrudjRs3MnXqVEwmExMmTEj1TYjC48YNhagohQ8/TCYkROXOHYUff3Th669dsNsVWre28ckn\nyTRqZCcmRm9pBwZqKErmR2XfuKF3Y2dl7nKZMhqdOlnx9s70KYQQBVhwcDlOnjxB587dAChbNpgz\nZ045Xo+NjcFqtTit/Aw3O2bMmMHu3buZP38+ZrMZgL59+/Lnn3/y2WefOa2CIm+LjVW4cMHA5csG\nZs924R//cOPdd80EBmo0bGjnu+9cWLfOhK+vRvnyGkFBmmMe85MGs6bB/v1GFi92yXQwGwzQvLmd\n3r0lmIUQD9epUxfWr1/D+PEfkpiYSLNmLTh+/Cjz53/D1q2bWbr0JypVquK08jP863HdunVMmTKF\nBg3uLYPZsGFDJk2axBtvvMH48eOdUkGRt9WqpdK7t5UxY8y4u0NwsMoPPyTSsqUdV1c4edKDP/80\n0K1b6q970q7sxET49VcT589nvhu7WDGNLl1slC4tg76EEI/WrVsP7ty5w4oVSzGZTLRs+RxNmzZj\nwYJvAfD09OSf/3zLaeVnOJwjIyPx9U27dZa7uztJWdlJQORbKfeLp0xJpnNnG/7+Gr6+Gn5+GnY7\nnDtnIDlZITAwa2F465bCL7+YiIrKfDd2SIi+57Kb2+M/VwghAAYPfoPXXx+M6e9uvsmTp3Hs2BFi\nYmKoVas2Pj7OWzoww+HcpEkTvv32W/797387jsXGxvLll1/SuLFsyViQPTiPOWUXKYMh9Y5SAL/8\noi8AEhOjB6qXl8Yrr1gfcuZHSxmNvXWrKdP7LptM+qCv2rVl0JcQ4smZHrj/VrduzixdneFw/vjj\njxk2bBhNmjQhOTmZIUOGcPPmTQIDA5kzZ44z6yhymdGodytv3GiidWt9D+OUUL4/8FI+Z/lyExUq\naFSpYmf58kRMpvQXKnkUi0U/16lTme/G9vXVeOEFWelLCPF4PXt2ZcSIkTRr1tLx/HEUBZYuXe2U\n+mQ4nP39/Vm+fDl79+7l4sWL2Gw2ypcvT7NmzdJso5XTdu/ewY4dvxEeHo7NlraV5sxtvQqylNHU\nmgaffmpm9WoTkZEKL71kxdPzXkCncHeHWbOSePttA0WLapQsmblR2XfvKqxenbVFRerUsfPcc3bS\nWW5dCCHSKFWqFG5u9xY78Pf3R8nF7jZFy+DGzP/6178YPHgwwcHBTqtMWFjsE3/NqlU/8+WXkwHw\n9vZxjCR/UG7vMJIX+Pl5Zfgap7R04+Jg8mQz584Z+O03IwEBGm+/beGll6x4eKQO6AfDGp58HvMf\nf+hrY1sz1xOO2Qzt2tkICcm9zU6e5DqLzJFr7HyF/RrHxESn2oLYWfz8vNI9nuH2zObNmxk6dGi2\nVSi7LFmyiPLlKzJ58jRKlSqV29UpMFK6srt08aBoUY327W107mxj4UIXPv/cFVWFl19OHdDp/ZGZ\n0WC22WDbNiPHjmV+beyAAI0uXWSKlBAi6/r3f4UXXuhO//6DcqX8DIdz//79+eSTT+jXrx9lypRJ\n00INCgrK9splxO3bt3jrrZESzE6we7eR8HCFL75Ion59vSX66qtW+vVzY+pUVwwG6Nkz/S7uJxET\nA6tXZ22Lx4YN7bRsac/0xhlCCHG/6OgoihdPO0Mpp2Q4nENDQwHYs2dPmtcUReHUqVNpjueEMmUC\niYqKzJWyC7obNwxERSnUrKkHc2Kifl954cIk2rXzYNo0VzQNevXSW9CZcfmyvtpXQkLmgtlshg4d\nbFSpInt2CyGyT5s27VmzZhXNmrXIlZDOcDhv3boV0KdP2Ww2VFXFaDTinct9iH37vk5o6FSaNWtJ\n5crOW62loEvv3nD9+va/RyO68OqrVtzd7wV0v35WRo40M2eOK8WL64t7PMm9ZU2DQ4cM7NhhQs1k\nrvr7a7zwwr3tKIUQIrsoioG//rpE9+4dCQwMwseneJrBz84cbJzhcPbz82Py5MksWbIE+9+TTo1G\nI506dWLChAlOqVx6hg9Pe987OTmZQYP6EhRUFm9vnxy9gAVBymhqqxUuXDDg56cvJhIUpNKokZ3F\ni10oXVrluefsjp2b9J2obPz1l4GpU11p2zbjuzplxzSpOnXsPP+87LsshHCOQ4f2OxqfFouF27dv\n5Wj5Gf7VNnnyZHbu3Mns2bOpV68eqqpy9OhRJk6cyLRp0xg9erQz6+lw48b1NMPbvb31plNycnKO\nX8D8TtPubfvYu7c7ly8bSEpSGDrUwtChFt5/P5khQ9z54gszV69aeeklKydPGvj5ZxfatbPx4YfJ\nNG7sya5dRtq2ffxKIZGRsHKlC3fvZq4b28UF2rbVd5ISQghnye0ZPhmeStW4cWNCQ0Np1KhRquP7\n9+9n5MiR6d6LflKFedh+Trh/aoSq6sFsNOot5s6dPTCb9UU7jh838vPPJv7xDytjxybzxx8GvvjC\nzM6dRlQVPD01ypXT+OWXBE6dMjBwoDv/+U/iYwPz4kWFtWtdyOxqr/llUZHCPgUlJ8g1dj65xo8X\nGRmJTxbvq2V5KpWmaelWwtvbm4SEhMzXTOSosDAFPz/NcX84MVE/Vq6cyogRFqpXVwErAQGuzJmj\nT5kaPTqZOXMSuX7dwNGjBkqU0Hj+eb2VvGCBC56e2iMDU9Ng714je/YYydifgmlVq6bSrp2NHN4+\nXAhRiK1atZz9+/eSkJCIpt1rfNjtdhIS4rl06SLbt+9zStkZDufGjRszdepUpk6dipeXnvQxMTF8\n+eWXPP30006pXEb07PkC8PAuUkUBV1dXvL19qF69Ji+/3CdXh8fnpuPHoW9fdz7/PIkGDfQ32ogR\nbqxebaJUKY2xY+8l55gxFhQFZs/Wp0wNGmShShWVoCCVgweNvPuumbt3FfbtM7J8eSIlS6afuklJ\nsH595neTMhrhueds1K0ra2MLIXLOokX/Yc6cmbi4uOLp6Ul0dBR+fiWJiYkmKSkJs9lMjx4vO638\nDP/GHDNmDH/99RctWrSga9eudO3alRYtWnD79m0++ugjp1XwcRo0eIqEhDhu3bqB2exK5cpVqFGj\nJsWKFeP27ZtERIRTrJg3sbEx/Pe/PzJgwCvculU470tbLPq85AYNVMdGEu+9Z6FtWzsREQqnT+tv\nh5TW7QcfWHjjDQs//ODCtGmuhIUp2Gzw118G/vjDiJ+fxi+/JDqmWj0oIgIWLXLJdDB7eWn07m2l\nXj0JZiFEzlq/fg2VK1dh7dpNzJkzH03TCA2dw4YN2xk5cjQWi4UaNWo6rfwnWlt77dq17Nq1iwsX\nLuDm5kaFChVo2rRprq4/WqVKCJs2beDTT7+gWbMWqV77/feTjBz5Jh06dKJz525cuHCekSPf5Lvv\nZjN27LhcqnHueeopKFfOSlISvPmmGy1a2OnXz8q4cUkMG+bOqFFuzJuXSP36qmNRkffftxAbqwe3\nr6/eHd67t5V+/ayPXDP70iWFNWsyf385KEilSxd9kw0hhMhpN2/eZOjQYXh4eOLh4YmXV1FOnDhG\nmTKBdO/eg+PHj7J06U+0atXaKeU/UZNm48aNaJrGP/7xD/r27cvatWvZuHGjUyqWUf/974/07Ply\nmmAGqFmzFj169OKHH74HoGLFSnTv3oODB/fncC3zlkuXDJw6ZeD7711YtkzfQerrr/Wu6UGD3Dl8\n2ICi3GtBT5yYzPLliRgM+kCylEBOL5hT5i8vX575YG7Y0M5LL0kwCyFyj8lkwuO+1ZUCA4M4f/6c\n43n9+g25evWK08rPcDjPnTuXcePGkZiY6DgWEBDARx99xMKFC51SuYyIjIzAz8/voa/7+BQnLCzM\n8bxEiRLEx8flRNXyjAf3Qq5WTWX69CSKFNGYOdOVpUtNlC+vMWdOIn5+GoMHu3PkSOqATvm3wfDw\nZTptNtiwwcS2baZMDfxycYFOnWw895wswymEyF3BweU4efKE43nZssGcOXNvJczY2BisVovTys9w\nt/ZPP/3E9OnTeeaZZxzHhg8fTp06dRg3bhz9+vXLcmUeNqT8USpXrszmzb8ycOBruD4wlNdisbBl\ny69UrFjBce7Lly9QpkyZTJWVH6V0PScmwurVkJzsRZs20LEjFC8O770Hc+a4U7Qo9O0Ly5bBq6/C\nCy94cvQoVK+esXLi4mDJErh6FTw9n7yePj7QqxeUKpX+rmL5TWF5f+UmucbOV5ivca9ePRk3bhwG\ng8b48ePp2LEdI0aMYMmS/1ChQgWWL/8v1apVc9o1ynA4x8TEpLu5RGBgIBEREdlSmczMqevbdyDv\nvz+Szp270LXr/xEYGISLiwtXr15h7drVnD9/lvHjPyUsLJapUz9j7dpVDBw4pFDM30u5bxwXB506\neXDjhpG4OI3SpTX+8x99INe//mXgk0/MfPqpQmyshZ49bXz5pcKsWa4UL57MfZ0OD3XrlsLKlSZi\nYzM39qB8eZXOnW0YjWSovLxO5oc6n1xj5yvs17h1685cvHiFFSuWEhWVRL16TWjatBkzZ84EwNPT\nk0GD3sjyNXpYuGd4EZIhQ4ZgNpv59NNP8fy7aRQfH8+HH35IdHQ08+bNy1IFIfOLkOzZs4vQ0C9S\nrR6maRolS/rz1lvv8OyzzxMVFUX37h1o06Y9o0b9C1MBX/cxZT9mVYX33zfz118Gxo83cf58Il9/\n7cqVKwqLFiVSp47K4cMGxo0zExurMGCAPtjrwfM8zKlTBn791YTNlrl6Nmli55ln7E+0LndeV9h/\nqeUEucbOJ9dYZ7PZUuXF8eNHiY6Oplat2vj4FM/y+bMczteuXeP1118nLCyM4OBgAK5cuUKpUqWY\nPXu241hWZPWNcP78Oa5fv4rNZqN06TKEhFR3hLWqqqiqWqBD+dIlBQ8PfUMI0OcY/+c/LmzbZuLl\nl60MHuxOWFgsf/xh4IMPzJw/b+Cnn/SAPnLEwFtvuVG3rsqsWY8fyaVpsGuXkX37Mndz2NVVv79c\nuXLBW4ZTfqk5n1xj5yts13js2FG0a9eRJk2a5WhOZDmcQb+H+7///Y8LFy7g4uJCcHAwzZs3T7PR\nRGYVpjdCdrt9W6F+fU9mz07ihRf0Zuy337rwzTf6/OS1axNo1cqTO3diURT4808D779v5uJFA4sX\nJ1K7tsqZMwYqVVIfOxjLaoV160ycPZu5n7u3t0b37nl/Gc7MKmy/1HKDXGPnK2zX+NlnG6OqKkWK\nePHcc61p27YDtWvXdXq52RLOcXFxuLi4YDabOXv2LDt37qRmzZo0btw4WyqZkTdCz55dGTFiJM2a\ntXQ8fxx928PVWa5fXrdvn5HGje1YLHp3tN2ur/AVGupK06Z2Nm40ERV17xr/+aeBMWPMfy+tGU+l\nSvpb4VFd2XFxsGKFC7duZe7+ctmyKi+8YMv0/s/5QWH7pZYb5Bo7X2G7xrGxsWzfvpWtWzdx9Ohh\nNE3D3z+Atm3b07ZtB4KDyzml3IeFs/GTTz75JCMn2L59O7169aJevXoA9OrVi0uXLrFkyRK8vb2p\nWTPrK6UkJDx+WPquXdtp2LARpUuXAWDnzt/w8vKiSJEij3x07Ngly/XL6wIDNex26NDBg4MHjbRt\na6NJE31P5m3bTBw9qtC6tcURvH5+GjVqqBgM0KPHvf2YH9YRcvu2wpIlLkREZC6Y69e306mTHXPB\nGJD9UJ6e5gy9l0XmyTV2vsJ2jc1mM1WrhtC+fSe6detBqVIBhIXdZvPmDaxcuYzdu3eSnJxMQEBp\n3N2zr3Xh6Zn+L8QMt5y7du1Khw4dGDJkCNOnT2fTpk2sX7+erVu3MnnyZDZv3pzlShamv9KcadYs\nFyZNMtOnj5WPPkrGaITQUFeWLTPToIGVmTOTcHFJ+3WPajGfP6/vKGXJxP9VgwHatLFRp07Bu7+c\nnsLW4sgNco2dT66x7u7dMLZu3cTWrZs5deoPjEYj9es/Rfv2HWnRohVubm5ZOv/DWs4Zvml46dIl\nunbtiqIobNu2jdatW6MoCtWqVePOnTtZqpzIvAcXGAEYNszK+PHJ/Oc/LowbZ8Zuh+HDLfTvD4cO\nGRk+3C3dkE0vmFNW/Fq5MnPB7O4OvXpZC00wCyEKlhIl/OjVqw/ffPM9S5asYsiQN7FYkpk0aRwv\nvNDOaeVmeEhayZIlOX36NNHR0Zw7d46U3vDdu3dTpkwZZ9UvjUmTnnxNbEVR+OCD3Nucw1lSFhiJ\nj4evvnIlPl6hRg07nTvbGDhQnw41ZozeZfLxx8m8/z4kJlqZMcOV8uVdGTXq0Wlrt8PWrUaOHcvc\niGw/P40XX7RSrFimvlwIIfIUL6+i+Pj4ULy4L2azmaTMrlGcARkO5wEDBvDWW29hMBioW7cuDRo0\n4Ouvv+brr7/ms88+c1oFH/Trr2vTPa4oCg/roS+I4ZyyxnVcHLRr50FiokJSEqxebeL4cSP/+ldy\nqoBWFPjqKxg2zELp0hovv2x95PmTkuCXX0z89VfmRmRXqaLSsaPsvyyEyN9iYmLYufM3fvttK0eO\nHMRut1OhQiVee20Qbdo4r+X8RKO1T506xfXr12nWrBlubm4cO3YMNzc3QkJCsqUyGbm/cevWzTTH\nYmKiGTiwLx99NIFateqk+3WlSgVkuX55TXIy9OzpjpsbTJiQTNmyKv36uXPqlIFOnWx8+GEyRYrA\nvHkufPSRmR49FD77LBZ3d/3rH3aPOSoKfv7ZhfDwzA38atpUX1iksG7zKPfqnE+usfMV5mscFRX1\ndyBv4dixI9hsNvz9S9G6dTvatu1AhQoVs62sh91zfqKZ1tWqVaNatWqO53XrOn8O2IPSC1n3v9Om\neHHfAhnC90tZkhPg6FEjEREK06YlUbWqyp07CsWLa5QoobFliwmjEcaM0VvQ8fEKv/1mTjVSOr1g\nvnlT4eefTSQkPHmyGo3QoYON6tXl/rIQIn+JjIxgx45t/PbbNo4fP4LdbsfLqygdOnSmXbuO1KlT\nL0frU3CXyyqAUu4xWyz6ClsREQo3bxoci3nMnevCX38Z+OqrJGbNcmXePBdUFd5+28Lw4RbGjzdz\n967eJZ7edKnz5/U9mK2P7vFOl7s7dO9uJTCwYC4sIoQo2Lp164CmaZhMLjRr1pK2bTvQtGnOrhZ2\nPw6z720AACAASURBVAnnfOL+e8wdO3rw5psWWrWyU7u2naJFNX75xcTMma789FMitWqp9O9vZeVK\nE8uXu3D3rsJ33yWl2vbxQUeOGNi6NXNbPfr6avzf/1nx9s769ymEELmhTp16tG3bgVatnsfTM/c3\nk5dwzuPUv3uIDQZ92czZs10pWVJfPMTPT+O775IoXhyWLXPh5Zf1vZCTkuD4cQMNGqiMGpVM8+b3\n5ls9eB9Y02DHDiMHDmRuRHa5cvqKX1mc6ieEELkqNHROblchlUeG89WrVzN8oqCgoCxXRtwTFqbg\n56c5WrkWC7zzjhsHDhjp3dtKjRp6avv6alitcPeugqur3uy9elXfKapOHTvPPqsHc3rzoW02+PVX\nE6dOZW5Edt26dp5/3v7YtbiFEEI8mUeGc5s2bRy7Ot1P07RUWzMqisKpU6ecU8MHHDt2JM2xuLg4\nAC5cOIfxIUlRt259p9YrOyUn6/OWvbw03ntPn4t844aC3a6H9rVr934mNhu4uOgDsSZOdKVlSw/i\n4hS8vTUmTEgG9Nbxg5clMRFWrTJx9eqTB7OiQKtWNho0UAvtiGwhhHCmR4bz1q1bc6oeGfbWW0PS\n/YMBYObM6Q/9up07DzirSk6RlASbNulrbK5caeKbb5IYMcKCm5vGokUuVKyoMmyYlZSxCj16WPH1\n1ThwwEhAgMq771owme4NIrtfdDQsX565qVKurtCli5WKFWXglxBCOMsjwzm9lb9UVeX69esEBASg\nqiquObzKRP/+gx4azgWF2axPgbp61cDMmXoLOiBAw9dXY+hQK3a7wqRJZtzccCw0Urq0Rp8+Vvr0\nuTfUOr1gvnVLnyoVH//k19DLS+PFF22O/aKFEEI4R4YHhFmtVr788kt+/PFH7HY7GzduZOrUqZhM\nJiZMmIBHDu0BOHDgkBwpJ7d5e+sjsz09NTw8YNEiF4YPtxASovLGGxYMBvjoI33SckpAP7ioyIPB\nfPYs/PRT5qZK+flp9OhhxSv9+fJCCCGyUYbDOTQ0lN27dzN//nwGDx4MQN++ffnwww/57LPPGD9+\nvNMqWVh9/XUSEREKU6ea+eknFzQNRoywUK2aytCh+r3o8ePNxMcrDB9ueeTArJMnDezeTaaCuVw5\nla5dbQV+q0chhLjf7t072LHjN8LDw7HZ0v7yVBSFGTNmO6XsDIfzunXrmDJlCg0aNHAca9iwIZMm\nTeKNN96QcHaCoCCNoCCNTz9N4oMP3Pjvf/V70CkBPWyYheho2LbNyFtvpZ0mBfpgsP37jezcacTT\n88nrULOmSrt2NhmRLYQoVFat+pkvv5wMgLe3D+Ycbp1kOJwjIyPx9fVNc9zd3d2pO3MICAzUmDQp\niTFj3Fi2zISqwv/9n5U7dxTGjLFQqZLqWGDk/oDWNPjtNyOHDmUuWZ95xk7TpoV3jWwhROG1ZMki\nypev+P/ZO+/4qKr0/7/vzJ2SSkIgQAgtlITeBQKEjvSOsigrYsFe+K7r2gs2VhHWXXd1dXf5KRYE\nBCmC9CLSi/ReAmlAQnqm3Xt/f9wQWtDMZCaZJOf9euU1MOXcc08y93PPOc/zeZgxYxa1a9cu8+OX\nOI+mW7dufPbZZzdUfsrJyeHDDz+ka9euPumc4Br16ukCHROj8vnnJjp3DmL6dAtNm6oYDLpZyfUi\nqiiwbJnskTAbDHpqVlUuXiEQCKo2aWmpjBo1tlyEGdyYOb/22ms8/vjjdOvWDbvdztSpU0lJSSE6\nOppPPvEvZ5XKSr16Gu+9Z2f9epn0dInHHnMUa8npcOg5zJ6UezSbYeRIJ40aiYhsgUBQdalbN5rM\nzCvldvwSi3OtWrVYsGABW7du5fTp07hcLho1akSPHj0wFGfWLPAJV1OmrnJzulReHnz/vYmUFPen\nvMHBGmPHilQpgUAgmDRpCh999AE9evSiadNmZX58t+o5+5qqWjvUW2Rl6R7bGRnFC3NQkIW8PHux\nr9WooadKhYb6sodVg6pcB7esEGPse6raGD/11CO3PHfkyCEcDgf16tUnLCz8lomoN6K1ParnPGnS\npBIbfnzxxRfu90rgNS5elFiwQCY31/0Zc716KqNHi+IVAoGg6pKcnHSL3oWFhQNgt9tJS0st0/78\npjhfnzaVmZnJ/Pnz6devH61atcJkMnH48GF++ukn7rnnHp93tKTYbDY2bdrAwIGDyrsrZcb58xKL\nFpnwJGi+WTOVYcNctxiWCAQCQVViwYKl5d2FG/jNS/IzzzxT9O8pU6bw0ksvMXHixBve06VLFxYs\nWOCb3nlAZuYV3nrrVfr06YfJZCrv7vickyclliwx4XK5/9m2bRUGDFCKre8sEAgEgvKjxPOlPXv2\n8Morr9zyfPv27Xnrrbe82qnS4kfb6D7l8GEDP/4oF9V8dof4eEWkSgkEAsFtGD9+BHD7C6Qkgdls\nJiwsnBYtWjFhwj1Ur36rF4inlHjO1KJFCz799NMbDEdycnKYPXs27dq181qHvEFlL4wBsHevgeXL\n3RdmSYIBA1z06CGEWSAQCG5Hx46dyc/PJTU1GYvFTNOmzWjZshXVqlUjLS2FjIx0qlULIycnm2+/\nncv9908kNdV7+9IlnjlPnz6dhx9+mPj4eOrXr4+maSQmJhIVFcW///1vr3VI8Pts26bbcbqL0Qgj\nRriIjfVgqi2oOGianmPncCC5nOB06Y+qqr9206Ok6X8PmsGoJ8xf/TEa0aTCf5tkNJNZT4Q3Gov3\nihUIKhHNmsWxatVK3n13Jj16JNzw2sGDB5g27QkGDx7KsGGjOHXqJNOmPcHnn/+Ll19+wyvHL7E4\nN27cmBUrVvDLL79w6tQpAJo2bUp8fDyyiCYqEzQNNm0ysn27+8JsscC990JwsBDmCoOqQn4+hrxc\npNwcyC9AshUg2WxItgIoKEAquO7/TheS0+FZdRN3MBjQzGYwmdHMJv3RakULCIQA/VELCECzBuiP\ngUFowcEQGChEXVBh+PbbuYwfP+EWYQZo1ao148bdzZdfzmHYsFE0btyE0aPHsWiR9+Kv3FJVs9lM\np06dqFmzJoqi0KBBAyHMZYSmwerVRvbtc1+YAwM1xo930aiRhUuXfNA5gftoGuTlYcjKRMrK0h9z\nspFyc6/95OXq7/M3VBXJZgOb7Td25IrBaEQLDkYLDkENCdH/HRSCVq0aWlgYarUwCAjwVa8FAre4\nciWDmjVr3vb18PDqXLruglqjRg3y8nK9dvwSK6vD4WDGjBnMmzcPRVHQNA1Zlhk6dCjTp0/HbDZ7\nrVOCG1EU+PFHmSNH3A+rDgvTGD/eSXi4Dzom+G00DSk3Byk9HUOG/iNlFopxdpbvZ7j+hqIgZWXp\n53+bt2hWK1q1sCKx1sLCUKtHoEbUwKOyagKBhzRsGMOKFcsZOXLsLZk/TqeTlSuX06BBg6Lnjh49\nSu3adbx2/BKL84wZM9i0aRP/+te/aN++PaqqsnfvXt5++21mzZrF888/77VOCa7hcsGSJTInT7ov\nzJGRuutXcLAPOia4hqYhZWdhuHgRQ/plcOVjPXMBKSMdyV68I5ugePQl+lRIS+XmNSItIBC1Rg20\niAho0gCDIQCtRg20oGCxXC7wOlOmPMxf/jKNyZP/wMiRY4mOrofJZOL8+USWLfuBkyeP8+ab7wLw\nwQfvsWzZYh54YKrXjl9i+86uXbvy0Ucfcccdd9zw/Pbt25k2bRpbtmwpdWe8YRWXmprCXXeNZO3a\nLRU+z9luh0WLZBIT3Rfm6GiVMWNudP2qanZ8PkFRkC5fxnAxDcOlNF2QL6bpy7yF/JZNqsA7XD/G\nWmAQaq1aqLVq6z+RkWhh4UKwS4m4XsCWLZv56KOZN7iHaZpGZGQtnnzyWXr37kdmZiajRw9mwIBB\n/PnPL7m91euRfef1aJpGeDFro2FhYeTn57vVmdtxu066g8ORDUCNGsEVeqk9Px8WL4b0dPdX8xo3\nhrvv1gNrb8YbY1xl0DTIyIALF/SfpCRIS9P3Ga7HCATdWIg9KKhsC7NXRa6NsQsuJuk/Bwqfslig\nTh39Jzoa6tVDGMe7T1W/XowaNYRRo4Zw9OhREhMTcblcREdH07p16yKxjogIYu/evV6fDJZYnLt2\n7coHH3zABx98QEiI/gvLzs7mww8/pEuXLl7pjDfu0jIy8gC4fDm3ws6c8/Lgu+9MXLrk/p1/bKxK\n//4usrJufU3cCf8ONhuG5CSMKckYkpMwpKToUdBuImbOvud3xzjPDhnZcOhY0VNaSChK3bqodaJQ\no+qi1qqN8K29PeJ6cY2IiLpERNQt+v/ly8UFfnngn4wXZs4vvvgif/zjH0lISKB+/foAnDt3joYN\nG/LPf/7To04JbiU3F+bNM5Ge7r4wt2qlMmiQS9hxlpSCAowXzmM4n4jxfCKGi2n+GR0t8ApSTjby\n0Ww4ekR/wmhErROFUq8+Sv0GqFF1oYLe0AtKz/jxI3n66Wn06NGr6P+/hyTBd9/94JP+uFXPedmy\nZWzevJlTp05htVqJiYkhPj6+SjhylQXZ2bowX7ni/nh26qTQp49w/fpNbDaMiecwnj+HITERw+VL\nQoyrMoqC4cJ5DBfOY9q6BYxGlKi6qPXqo9SrL8S6ilG7dm2s1mupfLVq1SpXbStxQJjNZmPhwoWc\nPn0ah8Nxy+vTp08vdWeqckBYZqYuzFlZ7v8xdO+uEB//+8Jc5ZapVBVDSjLGs2cwnj2DITmpTMTY\nL5a1jUbd0ctkQjPJIJuuOX9JElrhY9EPXHMMU1X934qiP6oKktMFTgeSw4FHZu5epkzGWJZR6kaj\nNGqM0igGrUaNKhVkVuWuF+VEqZe1n332WXbu3Mkdd9yBVRT+9SoZGbow5+S4/8Xv29dFp07lf7H0\nF6TsLIxnTutifO7sDVHUFRKTCS04GDU4BC0oCAIDdectqxXNGqA7cll1Ny4s5iJB9tnehqbpon3V\nGtTuQHLYdaeygvxrLmaF/5cKCvRc75ycWwPp/B2XC+O5sxjPnYUNa/U960Yx+k+DhogC6AJfUmJx\n3rZtG5999hmdOnXyZX+qHJcvS8ybJ5OX554wSxIMGuSidesqLsyahiEtFePJExhPntD3jSsKBgNa\naKhutnHVcCMktMhFSwsO1kPu/Wm2Jkl6EJUsc3UNokRrEZqm243m5GDIy9Ed0HJyCk1JMjFk6g5p\n/oyUk428fx/y/n1gMKBG1cXVpBlKkyZoXqxGJCgf3nnHfU9sSZJ44YVXfdAbN8S5UaNGKBXtztfP\nSUuT+O47EwVuBgQbjTBsWBUuYOFyYUw8qwvyqVP+fVGXJLRq1YpcrrTq1VHDwtHCwtBCQn03w/U3\nJEmf9QcGolCr+Pe4XIVWpleQrlzBkHlFd1dLT/e/37GqYrhwHvOF87BhLWpEDZQmTVGaNkOtE+Vf\nN1SCErFixbJin5ck6bZliP1CnN977z2efvpphg4dSlRUFIabLiqjRo3yeucqM6mpujC7u+oqyzBq\nlJOYmCoWyOR0Yjx9CuOxI8inT0ExcQ/ljRYWhhpZC5o2xG4I0MU4PFwEFZUUWUaLiECJKGYWarPp\nFqjpl5EuXwZnHtrJc3pBED/AkH4ZQ/plTNu3ogWHoDRugqtpM9QGDfW7aYHfM3/+kluey87O4oEH\nJvHqq9Np3bptmfanxOK8aNEizpw5w5dffnnLnrMkSUKc3SApSWLBAhPuOjuaTDB6tJOGDauIMF8v\nyKdO+o8XtdGIWqMmamQt1MhI/bFm5LU9yJohKO4E0miamGn9HlarnpscVZhrWjOEgks5kJuL4WIa\nxotpSBfTMKalIl25Uq5dlXJzkH/di/zrXrSAQJRmsbhi41DrN6g6KyUVkOJ8sQMKC7FUrx7hVd/s\nklBicf722295//33GT58uC/7U+k5f15i4UKT2xM/sxnGjnVSr14lF2anUw/ouirIfjBD1qpV01Ns\n6kTpP94yr1AUXZTFBdtzgoNRg4NRYxpfe85m0+MQrprJJCXpwWrlgFSQf02oA4NQYmNxxTZHja4n\nfu+C36TEV5jw8HBiY2N92ZdKT2KiLszuTgCtVhg3zklUVCUVZk3DcD4R+fAhjMeOlG+xiKvGFHWj\nUetGo9Sug88qhxQudxoSzyGfOIaja3dReckbWK2oDRrqS8qgp4dlXsGQnIwx+QKGpCQMly6WeY67\nlJ+HvHcP8t49aMEhuOKa42rVBi0yskz7IagYlFicX375ZV577TUee+wxoqOjbzH3rlevntc75w6r\nVq1k4MBBNzynKArr16+hf/87y6lX1yiNMN99t5NatSqfMEvp6ciHDyIfPohUnN9oWSDL+qw4up7v\njCc0Tc8Nvmnv0XhgP8EvP49pzy7UGjXBZKJg8oMUPPakd49f1ZEktPDqKOHVUVq20p+z2XR3uMRz\n5eIOJ+XmYNq1A9OuHaiRtXC1bIWreUvf3QgKKhwlFufHHnsMgIceegjghgodkiRx5MgRH3Sv5ISG\nhjJz5gzGjbsbgKysLD7+eDYTJtxbrv0Cz4U5MFDjrrtcREZWImHOz0c+ehj50EEMKcllf3xJ0mfG\nDRuhNGioR9b62l9ZkoqEWd6xHbV+fdTadQj8eDaSw0HmkpVI+fmYN6wj6N030QICsN3/oG/7VEhK\nSjJ16kSVybH8CqtVj65u0hQn6FauSRcwJJ7FeO6cPrMuIwwX0zBfTMO8cT1KoxhcLVujNGkqfL+r\nOCX+7a9du9aX/Sg1XbvG43A4uP/+ewCYNOkuZs78iNjYuHLtl6fCHBysC3ONGpVAmDVNX7rdvw/5\n+LEyN6PQQkN1l6eGjVDqN4CAgN//kKdc755VGOhlOHMa+cQxgl/8M1pQEDn/+BTp8mUsixaS/b+v\ncLXvCICze0+Mhw8S8Mk/cHbugtKqte/6CaSmpvLYYw8yd+53BAVV8RlbQMANYi3lZOtGNmdOYzx7\n1qMCKG6jqhhPncR46iSa1YrSvAXONu3Rat0m9UzgVfbt23PLc7m5eoGLU6dOYLxN1H27dh180p8S\ni3PdunV//03lTEJCbyZMuIcvv/wfjzzyBC1atCrX/ngqzKGhGnff7aSYCp0Vi9xc5EMHMe3fW7YR\ntAaDXsygcROURo3Rqlf3bTT09cvW1wf5FApz9V5dcTWNxT50BLY/3IvSuAmWRQvQwsJwdosHwLxq\nBZb58zCvWYWzRy8kp28D4VRV5e23X+Py5Uu8//67vP762z49XkVDCwnF1bottG57ow3s6VNlsuIj\n2WxF+9NqVF1cbdvhim1efB1YgVd48smpt/XS/sc/Zt/2c5s27fBJfyrdusmUKQ+TmHiWkSPHlGs/\nPBXmsDBdmKtV802/fI6mYTh7BtP+fRhPHC8zH2bNatVnx02aojSKKVtrxavL1rm5WH76ESLDkdp3\nRQsOQW0Ug6NnL8xrVpH30qsocc2v+4xM6OR7kI8eRrI7cPTqQ/acr1Hr1PG57eisWe9jNluQJAmb\nrYA5cz5n8uSyWUqvcBgMqIUBgs7uPZFyc/QZ7onjurWnj1eCDMlJmJOTMK1bg9KipZhN+4jJkx/0\nqyJOJS58URZUFpP18+f1PGZ3hbl6dY277nL6rCa8T43sCwqQD+zHtG83Umamb45xE1poKK5msSiN\nm+qpKb42e7hNYBd2O4Gz3ifgs0/QwqtjtBegBASSN+3P2Cfcg+WbuYT831PkvvkOtgcfAcCQlkpY\nv55gNpP/5LM4hgzTU7SA0Mn3oNaMJPe9D3xyTn//+4d06NCZmJjG3H33KNau3cKaNT9x5coVJk6c\n5PXj+QK/Kcpgt+sz6hPHMZ4+VTbL34AaVRdn2/YozVv4bG/ab8a4klPqwheCklEaYZ4wwVnhgjWl\nS5cw7d2FfOhgmZiEaKGhuGKbo8TGla1N4lWjkGLE0rx2NZZFC8h7+XUcg4YQkXoO578+JfiF51Ba\ntMQxbATqu9ORjx0DlwtkGbVWbRz9B2LauR1Xy9a6MCsK5vVrMP28ifynnvXZzca9904mPLw6qakp\nRc8NHjyMjIx0nxyvUmOxoMTGocTG6SUoE88hHzuK8fgxnwq1ITkJS3IS2sb1+pJ3+w5owcVf5AUV\nEyHOXqTKCHNh4Iq8eyfGxHM+P5w+Q45DiWtefr7FkoThwnmsc+dguJyOs2cCjj790IKCsc6dg1at\n2rUI6zax5MS2JaJ9c6z/+Te5f/snzvgeyL/uwXjsaFE6T8FDj2K4coWwccOxDx+FFhiEec1POLvF\nY5v8gM9OJTy8erHPVxfFG0qH0ahvYzSKgQF3Yjx3BuPRoxhPHvfZNoWUn4dp6xZM27fiim2Oq2On\nay5qggqNEGcvUSWE2WZD3v8rpr27fJ6XrAUEojRvjqt5S/1iUxaCXFjPuNjZ8bIlBL/wJ9S6dVGj\nogl57CHsw0aQ8+n/kA8dxDFk2LXZtcMBgYHYR4/DvGYVUkY69nF3EfLEVEy7dhSJs9KyFdkf/5uA\nr7/AtH0bhotp5D3/Eva7Jwo7z4qO0YgS0wQlpoleqOXsGYxHDiOfPO6bFSZVRT5yCPnIIdQ6UTg7\ndNLjG4Svd4VFiLMXuHDBs+CviiLMUk428q6dyPv3+da9y2hEadIUV4tWKDGNy+7CclVUb2OnKF2+\nTNB703H27EXu62+jRURgWbwQ4/lEKChAadIMw/lEsNv1QLRCYbXfOQTr/z5HysrC0bsfao2amHbt\nwD52vL4EqaoQHEzBw49RcP9DokBGZUWWi9K0HHY7xuPHkA8d8NmqkyElGcvyJWgb1+Ps2BlX23ai\n9nQFRIhzKUlO9swruyIIs3TpEqad25EPH/Rp1LVaN1p3SIpt7tsc5NtRKKby3t0E/PczDGmpOO/o\niu3uiaj16iPv34chNRX7G+OLrBbtY+8q+rjjzkEEvvsW8oljevqNyQToVZSwWDDkZKPKMq427TCv\nXY3x+DFcHTrdeDMghLlqYLGgtG6D0roNUlambll76ACGjAyvH0rKzcG8cR2mbVtwtW2Pq1NnsS9d\ngRDiXArS0jyrLuXXwlzoc23asQ3j6VO+O0xQMK7WbXC1boN2mz3QsiTg048J+PtsXB06okTVJeCT\nj5Gys8l78x0khwPJbkO7utR8daatKEgZGdgHDyPg77MJ/Os75L41AyJaYkhOImDOf3B27opS6PGc\n96e/UDD5QV2YBVUerVoYzm7dcXaNx5CchHzwAMajh72+OiXZ7Zh2bMO0eyeuFq1wdu6CVqOGV48h\n8D5CnD3k4kXP6jH7rTBrGsaTJzBt+8V3JguShNKwEa627VEaNymbZWtV1YX0N/ZwDecTsXw/H/u4\nu8l7/S1QFPL//CJS4WzG2S2+qFqWszDaGkDKzCT4lb9gHzaS3Jl/I+TZJwkf3A8GDqDa3n3gcpE3\n40O0amF6V2Ia31g9SSAA3VK2bjSOutHQp59ub7tvL4broum9gqIgH/gV+cCvKE2b4byjK2rdaO8e\nQ+A1hDh7QHq6xHffyRS4mSnhl8KsqhiPH8O0dYvP/IR1t6XCWXKhUPkcVdWXjW/eR75N7WT54AHs\no8dhPLAfSXGhBYcg5ecjZV5BCwvH2b0n1oXzcfTpXySwhpRkzOvX4OjdF/uEe8j6diHmVSsJOnoQ\n+8gxFNz3AFqEiIAWuIHZjKtNO1xt2mFIS0X+dS/GI96fTRtPHMd44jhKg4Y443ug1qvv1fYFpUeI\ns5tcuQLz5snk57sXTet3wqyqGI8cxrRtC4Z03+S3Kg0b4erQSQ/uKqvatTcFd8l7dmHathUlNhZH\nv4G3CrOmodarj6N3X4LeeIXAkBBwKUh5uWAw4Ozchby33iPvzy8RNm44QX99h/w/v4BmsWJZsQy1\nVm2cffoB4GrdFlerNgRFhpIvzBsEpUStVRvHwMHQu3A2vXcPhrRUrx7DeO4sxnNnUeo3wNmtO2r9\nBiJT4DbYbDY2bdpwS/VDXyHE2Q2ysmDePBO5uRVYmBUF+fBBTNt+8Y3ftdmMq1VrnO07lc2s8eaZ\nsCQhXbwIZhPBf3oG87o1aOHheprScy9QMOVhvSzf1c8VOn7lzPoY+cghvYRf7Too0fUwXjhP0PRX\nsX4zl9x3PyD3zXcJeudN5F/3IuXmIjkd5L7xTpGz19XjCwRe5epsunVbfW96zy7kY0e9GqRpTDyH\nMfEcanQ9HN26ozZs5LW2KwuZmVd4661X6dOnH6YyCOAU4lxCcnJ0Yc7Odu/iGx6ue2WXuzCrKuzZ\nQ8CPq3ySo6yFh+Ps0AlXqzZgsXi9feDaUvX1Npo3iaGUk01E66Y4+vaHwCCyFi1DjaxF0NtvEPDf\nz1Bim+O4c/Atjl9aZCTOyEicvfoUteUEAj76sOgiaLv/QRx9+mHatQOMRuzDR4myfoKy47q9aWfv\nbL0wxq/7kAryvXYIw4XzWOd/q3sLDLsTqtUSN5zXUZZu1+LKUgJyc3Vhzsx074+0WjVdmEPKM3tB\n0zAePYJpyyaw5yHleXfvSmkUg6tjJ5RGjb3/JbbbCfz7LEybN5L1w4prS+PXiapp80YwGPT97NBq\naCGh2O6djHXuHPJeewtX2/YA5D33AmHbtmL65WddnItZZg/+v6cwJl2gYNL9uFq1xrJ4IZhM2O8c\nUvQetWEj7GJWIShntJBQnAm9cXbrri95796F4WKa19o3JCfBV19hDY/E0bOX2JMupCwLYwhx/h3y\n8nRhzshw75cSEqILs6+KWPwumobx1ElMmzdeC/QK8tKM1mjE1bylnpJRs6Z32rxKYdqHs2cvMJv1\nso83Rzi7XFjn/j+C3n8XXE604BC04BDyn/0T9lFjsQ8dhnXuHNTCnGQ0DbVBQ1zNmyPv3Y3hzGnU\nRjHXZs+Fj44hwwh681WCX34enE4kxUX+k9Nwdu/p3XMUCLyFyVQU6+CLFEjDhfNYv5mL0igGZ89e\nqLXreK1twW8jxPk3KCiA+fNNpKe7J8xBQbowh5VRYPLNGM6ewfzzJv3u14toFou+99WpM1qI/jBe\nGgAAIABJREFUb+46zD9vJOCjWeTWjESJa4599Dj9hdxcru4NyHt3E/Dvf1Lw0CPYBw/DkHSewH/+\ng5DHH8YV2xxnz96odaIw7d6JfchwCAwEwDFoKIGz3se0fSv2RjHXDlp4N+zoNxBHl3jMmzagVa+O\ns2u8T85RIPA6koRavwH2+g2QLl7UzYOOHPLavrTxzGmMZ06jxMbh6J4g8qTLgDIKoa142O2wYIGJ\nixfdE+aAALjrLhfVy8FXw5CSjOXbr7B+941XhVkLDsHRqy8FUx/H2aefb4S5cC/HkJaG8XyiXgsa\noKCAwPemU737NeOOwI8+BJOZgol/RImNw9l3ALnvfYAS07jwNRP2EaMxr/7phlxR+51D0AICMO3c\ncS3/+WaCg3EMGSaEWVBh0SIjcQwdTsHDj+LsdAeYzV5r23jsKAH/+wzzj8uQssqmNGxVRYhzMbhc\nsGiRTEqKe8JstcJddzmpWbNsS2RLmVcwL1mE9cs5XvXrVatXxzF4KAVTH8PVpav3/Xk17Vqh+sI7\nfPuAQWgmEyHPP0uN2mEYLl1EC6+OIf0y8p5dABiSkvQ95shI/ZcFKE2aYhs/AfOGtUiZV7CPGacv\n8+3fd+1wNWrgatka84a1yL/u9e65CAR+hhZaDWff/uRPfRxnQm+0wCAvNawhH9xPwOefYlq3GrcN\nHwQlQixr34SiwJIlMomJ7t23WCy6MNeqVYbCXFCgl4vbu/uayHkBNaIGzm7d9ao23shPzsuDoKBr\n0dZXl9oMhmsuYYWPQe+8gTEtFc1qJe+VN1HrN8DZuQtKdD2s33xFbodOut/1gV+vtQGgabjatEPK\nyMB4PhFXuw4ozVti/mkFjn4Dimb7trsn6vV3RVCXoKoQEICzazzOjp2R9+3BtGO7nsdfWhQF066d\nyAcP4OzWHVf7jiJ7wYuIkbwOVYUff5Q5edI9QTKbYdw4J7Vrl5Ewu1zIe3Zj2rbFq3Vi1ZqRuijH\nxnkn8jo3l+Dpr2I8euTGaOvCR0PSBazfzMV45jSOfgOwjxhN7jvv4+rchcBZ7yM59MhypUlTnN17\nYvlxKbnvz8LZLR7zyuW6w1HTZnqbkoSUnaU7exWaqtiHDCNw5gzyn3wWpUVLAJx9+hWZhgg856mn\nHnH7M5Ik8be//csHvRGUCJMJV+cuuNp1QN6/D9P2bUi5pTfLkWw2zOvXYtq7G0dCH+9dP6o4QpwL\n0TRYs8bIkSPuCbPJBGPGOKlbtwyEWdMwHjmMefMGr+Yqq7Vq44zvgdKkqXe/VMHBIEn6HvKxo/qX\nVtOQsrMIevsNLAvno0ZHo5nMhCz7AfnXfeS98Tb2EaOwfjMXecc2yMvTl+e6xmOd9zWmTRuwjxxD\nwOf/JuiNl8mZ+Xe0WrWQ0tOxLpyPGl1PL5EHFNz3gF6qr3kL752TAIDk5KQyTSsReBGTCVfHzrja\ntkc+8CumbVuRcrJL3ayUmYllySLUqLo4evdFja7nhc5WXYQ4owvzxo1G9u1zrxCDLMPo0U7q1/e9\nMBuSkzCvW+PVQC81shbOngl6QfjSXGidzhtLHiqKPqiyjH3gYMzr1mD54Xvy//wiSBLmn1Zg3rCO\nnH//F2eXbmgGIyH/9xSW5UsoeOBhfSm7Y2fMq1Zg2r4VZ9/+uFq1wRXbnID/fkb2nK/Ie+V1gp95\ngvAh/bAPGaZX9Ek8R+477xdVudJq1cI+ZnzpBklQLAsWLC3vLghKiyzjat8RV+u2yIcOYNq6BSm7\n9CJtSE7C+vWXKM1icfTuixYW7oXOVj38Spxr1iwft47Nm+HQIX1btKQYjXD33dCsmY/csK6SkwNr\n18K+wsCmUuYqBwVZoEYN6NMHWrQonSgnJ0OvXjB1KvzpT7e+fuIEVAuAjh0I2rROz0sGWPANdLmD\naqOG6kFmZ8+C6oSMdCI2rYZnn4Xxo2H1CsJ2boG7R0NIWxgyCD79lJpW4MH7oEEUrFhB4N690LI5\nfPJPqrVq5fn5eJHy+lt2B4dDvxDXqBGM2YsRvRcvXiQlJYWYmBgsFguyLGPwgbd6RRjjCkOdBOgd\nD7t3w6ZNepwIhdcLT0k6C/O+gPh46NHDq1Hj5YGvvi+3w6/E+VI5FAvYs8fAmjXuDYMkwYgRLsLD\nVS5d8lHHXC7k3bswb/0ZHA6vNBlUtxYZbTqjtGyl7/tedj8oRN62lYD/fEr+8y+hNGyE+aU3cHXs\nhHrd707et4fg56chHzuGs01b5JPHkfLyyFy6ClfXbliHj8HZpRtKjhPr3z/B8sP3IMsY6jVAXbiI\nrHsfhJYdCW3QCOmXbeTsP4ZaJwpzy/aEZmWR9+HfKXjsSWjXFdp2ufEGww8KTtSsGVIuf8vukpGR\nh6ZpXL6c6xWv4P379zF79gecPKmnwc2a9TGKovDuu2/yxBPP0q/fgFIf4yoVZYwrHDEtILoJpj27\nCDu0l7z00m6f2WHFarSft+Po3VcPMq2g2yEZGfoNi7e+L1e53U1mlU6lOnjQfWEGGDTIRWys90zn\nb0DTMJ46oecSblznFWHWgkNwDLgTnnwSpXUbzyKwC/OQJU3FsmSRntYkyziGDkcNr46Ufe1LHPDv\nf4HBwJVlq8h78x1sE/8INhuWZYsBsE2ajBoVRdidvQl6+w2c3bqT/Z8vcPRMQD5yqCjNydk9AeOp\nk4ROuZfAD95DqRtNwWNP4Yprfq1fFfSL7g/Url2HzZt3euVCc+TIIZ555nHy8/MZP/4PRc+HhoYi\nyzJvvvkyW7duKfVxBGWA2azn+T/9tP7ohb8PKScby9LFWL79CinNezajlRm/mjmXJcePG1i50v3T\n79vXRevWvhFmKT0d87rVGM+c9kp7mtWKs0s8rg4d9S+Y0b099Rs7p4ugs1t31Oh6mDeswzFoCDic\nhA/qgzO+Bzkf/Qt5/z7M69eQ//gzKK1aA+i1aVOSMW/aQF5+PgQGEvCP2Ug5OVxZtUG30gQwykhX\nrmBesRxX2/bY7p6IZjETMPcLMBhQ4pqT99r0Uo6KwBd89tm/iIqK4j//+ZKCAhvfffc1AHFxLZgz\n52seffQBvvzyf3Tr1r2ceyooMQEBun93h06Yt/+CvG9vqVM2jecTCfjiv7jatcfRPaHIvU9wK1Vy\n5nz2rMTSpbLbznbduyt06uQDYXY6MW3aQMCcz70jzEYjzk6dKXjwEd08xNM7X0W50f7P6QTAPnoc\n5g1rMZw7hxYWhiOht16AAj1HWsrIwFWYuoSigMGAY+AgcDiwrFwOgHzwAFp4dV2YHQ5MG9ZhWbEM\nJa4FgbPex5CchFajBrYHpnJlwy/kT/uzV+7gBb7h4MEDDBkyHIvFestiRlBQMCNGjOa0Fz2fBWVI\ncDCOfgMpmPLQjatWnqJpyHv3EPD5p8j79hStyglupMqJc0qKxOLFJrdvADt1UoiP957Rx1WMp04Q\n8N9/Y9r2i1eMRFxxzSmY8hDOvgNKf1dqNILBgJSejvH0ySJxLJg0GSk9HdP2X/Sl7UFDMCQnYdq4\nHi0oCLV2Hb2sIhR98VyxzUGWMa9dDYCjTz/kXTsIeXgywa/8heBX/oKzSzeyP5tD5pKf9JJ1IJat\nKxAm0+2DZBwOB5rmo60gQZmghVfHMWI0tnv+iFo3utTtSbYCzKtWYv3qC7HUXQxVSpzT0yUWLDC5\nvY3bpo1Cnz6KV3VCys7CsnghloXzvZKzrEbXw3bvfThGjC5KJXKLqzcGV+9iFQXLvK8J659A9fgO\nVJswloCPPkTKyUZt0BAlrjmWVSuRrmTgatseJa451nlfo4WF44zvgWXRAr1YRaFjkBLXHCkzE9P2\nrUgXL2J7YCp5L72OIT0d+eABCqY+Ts6sf6A0i9Vn+wKv89RTj7Dr6k1TMfz88ybuvfcuj9pu0aIl\nq1evLPa1goICli5dTFxcS4/aFvgXat1obBMnYR85Bi289GlShuQkAr74L6Z1a/SiBgKgCu055+TA\n/Pmy2zawcXEqAwd6UZgVRY/C/mWzV4K91OrVcfbqW3oDkav70YVtBH74Vyw/fK8vZ3V4BsvC+QR8\n9gla9Qhs996HbeIkgt55E/noEZzdumO/cwgBn38KubkU3PcAYd/PJ/CjD7FNeQg1ogbWL/4HJhOG\ni2lYv51LwVPTKHjiaQoeftT7nt0CAGw2G5mZ14oT7N27m4SE3kRH31qbV9NUtm37hZQUz/LoH3zw\nEZ58cipPPPEwPXokIEkShw8f5PTpUyxY8C2pqSk899yLHp+LwM+QJJTYOAqaNEXeuxvTL1uQbKXw\n2NY0TLt2IB87iqPfAN35r4qvmkma5j8L/r5KjSgogK+/dr/0Y0yMyujRrlLFUV2P4cJ5vVLS1frK\npUCzWHB264GrY6cSB3rVrBnCpbQs/Y/+pj98yw/fY537/8h97wOwO6h292hs900h/09/AfQyjaEP\n3Y+reXOyv5yHlJtDRONo8v/0F/L/9BdM27dSbexwcmZ+hH3CPQTOeJuAOZ+j1qiJ0igG+egRbHf9\nAVdsHK427VAbNCz1GPgr/pLmc+XKFSZOHEteCX2UNU2jc+cufPjhPzw63s6d23j//XdJSUm+4fmI\niBo888yf6N3be7ap/jLGlRm3xrigANPWnzHt2e2VMpVK4ya6J74fGZikpqZw110jWbt2S5mkUlX6\nmbPTCd9/774w16unMnKkl4TZbse8aT3y3j1eaAxcrdvi6NmrqL6xW1xNo1IUXdQdDjCbMZw9g/Ho\nEZTGTZF3bketVZuCKQ8BIP+6F8uCeWiyEfnA/iIrTmePBMyrV2K79z5czVvg7NIN63ffYJ9wD/lP\nTcMxcBCWH5dhSLpA7tszcAwY5JXzF5SM8PBwXn11OkeOHELTNObM+ZyEhN40btz0lvcaDAbCwsLp\n3/9Oj4/XuXNX5s1bzLFjR0lOTkJVFWrXjiIurjmyKIhQuQkIwNl3AK427TGvXYXx3NlSNWc8dZKA\nxHM44nvi6nyHdwrwVDAq9TdGUeCHH2SSktwT5tq1NcaMcXklONh46gTmVT95xbtWjaqLo98A1DpR\nnjeSm0vIn55CswaQO/vjoiAvtUFDpPx8UBRcnbuQPXcemM0ET3sSyw+LcPbshX3EaKwL5mFZvoT8\n2DgK7ptC6NQpyAf34xgwCEef/gS99RqG5CTUqLq6NWD7jqU+b4HndOvWvSh9KS0tlZEjx9Kype9c\n1CRJIi6uOXHeiOoVVDi0GjWw3/UHjCeOY16/pnTxNE4n5o3rkI8exj5oKFqtWt7rqBusWrWSgQNv\nnFgoisL69WtKdTP7e1RacdY0WLlS5vRp9+64IiI0xo1zYimtK2deHuZ1a5CPHCplQ6AFBePo1Ud3\n9irtPkxQEErjpgTOnIGj30A9V9lkwpCaglqvPsbTp1CaNkOtGUnIM48j79hG9n++wNm7L6gqAV/+\nD9PG9TDtzzhGjIZHHsCy+HscvfvpbVnMqH60FCW4xosvvnbLcy6Xix07tmEwGOjU6Y4Sz3BFVSrB\nbZEklGaxFDSKwbRzO6btW4vSMD3BkJZKwJf/w9mlG85u3cu8LGVoaCgzZ85g3Li7AcjKyuLjj2cz\nYcK9Pj1upRRnTYP1640cOuSeMIeGaowf7yxdBpKmYTx8CPO6NUgF+aVoCDAYcHa6Q/+DLPXdQiGS\nRP5zL2A8dpSgD94FScIxbASaxYqUm4NaGOltPHIYy3ffkD3n6yJhNm1cj3TlCqbtW7F8Px/7mPHY\n7r0PtVZt0DSUps0ouFrCUeB3OJ1OZs9+n+TkJGbN+hiHw8Ejj9zPyZMnAGjQoCEfffQJ4SWI9i+u\nKlVGRjoOh4OQkFCio+uhaSopKSlkZWVSrVo1GjQQNbSrFCYTzvgeuFq1xrRhHfLRI563paqYtm7B\nePwojjuHlGnFq65d43E4HNx//z0ATJp0FzNnfkRsbJxPj1spxXnHDiO7drm3WRwQAOPHuwgN9fy4\nUnYW5lUrMXrBbEGpVx9H/zvRatYsdVvFkf/iKwS+M53g11/mSu8+KI2bYLh8Ce3qnYmmQUAAxuNH\nMbRoieHSRQI//gj7+AlI2dnIB/ZjHzOe3L/O8kn/BN7nv//9N0uWLGLo0BEArFy5nBMnjjN+/ASa\nNo3l73+fxeeff1KiqOqbq1L9/PMmXn31BV588TXuvHPIDYUuVq9eyYwZbzFGVAirkmih1XCMGI2r\nTTvMa37CkJHhcVuG9HSs38zF1aEjjp69y6yYRkJCbyZMuIcvv/wfjzzyBC1a+L7ATqUT5wMHDGzc\n6J4wm0wwdqyTiAgPA9c1DXnfHswb15c6PUoLCNQN4lu19mkqgRLThLw33yF8QC8C33kTtXYdXC1b\nIx8/iqtdB5TGTSi4548Ezp5JwGefYMjJxj5wMPlP/x9K41KWmBSUC+vWrWbYsJE8//zLAGzYsI6g\noGAee+xpZFkmOTmJpUsX89xz7rf92Wf/ZOTIMQwePOyW1wYMGMSJE8f4/PNP6NdvYGlPQ1BBURs2\nwjb5QUzbt5bOdEnTkHfvwnjiOPaBg1FjGnu3o7dhypSHSUw8y8iRY8rkeJVKnE+elPjpJ/dOyWCA\nkSOdREV5JsxSdhbmFctLHZ0Iuge1I6F32fjNqipqVF1yX3kD6+KFGFetRImuh1ozUn89MJC8V6fj\nGDQU49kzeiDaVdcuQYXk0qWLtGyp+53bbDb27dtDfHyPon3mWrVqkeNh4OKFC+cZMeL2F62aNWtx\n+bKvSrgJKgyyjLN7T1zNW2Be/VOprptSdjbWBfP062afft7b+rsNsizz1lt/9ekxbjhemR3Jx1y4\nILFkicntFLshQ1zExHggzJqGfHA/pnVrkErpaqPWjMQxcJBXLPFKTOGyo33UWLTQaoTefw+G84lo\n1xe1tlhw9uyFs2evsuuXwGeEh1cnIyMdgO3bf8HpdBAf36Po9ZMnT1KjhmfbKPXrN2Dt2lWMGjUW\n4035h3a7neXLlxSbwiWommjVI/So7qNH9PicEubiF4e8fx/Gc2ewDxpaqfwTKoU4p6dLfP+9CZfL\nvc/16+eiRQv3E+al3BzMP63AeOqk25+9AZMJR/cEXJ06l18en9WKY8gwbFMe0tMevGAgIPBPOnTo\nxHfffYPZbOb77+djtQbQs2dvcnJyWL78B5YsWcSoUZ4t2d1772Ref/0lHnvsQYYMGU5UVF3sdjsX\nLiSyePFCUlNTeP/92V4+I0GFRpJQmregoFEM5s0b9KpXHnpiSVlZWOd9jbNTZ5w9e1eKIjkV3iEs\nNxe++spEVpZ7e6Dduin07Onmnoem6Xd6q38qnVUdoNRvgOPOwZ75YHtIsY4/qqrfGGia2Ef2Ev7q\nXpWTk8MrrzzP7t07CQgI5LnnXmDAgEHs37+Pxx9/iLZt2/PuuzMJCSnesej3+PHHpXzyyT+4ciUD\nSZK4emmpXTuKZ5997oZZemnx1zGuTJT1GBuSLmBeuRxDenqp2lEjInAMHlZhtuFu5xBWocXZbodv\nvzWRluaeqLRtq7jvl52Xh2XNTxiPHXXrWDejWa04e/fF1bptmYuhuKCVDf4+zleuXCE4OLjIgrCg\noIDTp095xZxEVVWOHz9KSkoykiQRFVWXZs28n3Li72NcGSiXMXa5MG37RQ8YK80qniTpedHde5au\njn0ZUOnsO6+6f7krzM2aqQwY4J4wG0+fxPzjcqT8PDd7eSNKs1gc/QeiBXs2MxEIvEF4eDiXL18m\nLS2VBg0aYrFYaN68hVfa1jQNRVFRVQ2TSUZV/ebeX1ARkGWcPRJwNYvDsnI5htQUz9rRNEzbfsF4\n6iT2oSPQIiO9288yoEKK81X3r7Nn3dunrV9fZdgwV8m3d6/ax+3Z7X4nr0MLCsbRfyCKj5PWBYLf\nY//+fcye/QEnTx4HYNasj1EUhXfffZMnnniWfv0GeNz2li2bmTnzvVuismvUqMm0ac/To0dCqfou\nqDpokZHY7r0PeecOzFs24XZAUSGGSxcJ+PJ/OBJ64+p0R4XauquQ4vzzz+67f0VGaowa5Sqx85uU\nloZl2Q8Y0i970MNruFq3xdG7r+5yIhCUI0eOHOKZZx4nMrIW48f/gfnzvwF0e0JZlnnzzZcJDAws\n8uJ2h19/3ctLLz1H9eoRPPzwYzRs2AhV1Th37iyLFs3n5Zf/zN///imtW7f19mkJKisGA64uXVGa\nNtXNnRLPedaOomBevxbjmdM4hgyrMCuXFW7Ped8+A6tWuXdPUa2axj33OEtWxEnTkHftwLxpg+dJ\n8oAWHIJj0GCUmCYet+FtxD5d2eCv4zxt2hNcvJjGf/7zJQUFNoYPH8Ds2f+kY8fO5OXl8uijDxAc\nHMI///m5220//fSjpKWl8fnnXxB80xctLy+XBx/8I3XrRvPBBx955Vz8dYwrE341xl4yetICAnEM\nHorSxH/S+m6351yh6nCdPCmxerV7wmy1wrhxrhIJs5Sbg2X+t5jXry2VMLtatKLg/gf9SpgFgoMH\nDzBkyHAsFustq3tBQcGMGDGa0x5azx4+fIgRI0bdIsxX2x42bCSHDh30qG2BAEnC1b4jBfdNKZWv\ntlSQj+X7+ZhXryxVMY6yoMIsaycnSyxdanIrDU6WS27LaTxxHPPKH0tVrEILDMIxcBBKs1iP2xAI\nfInJdHsvYofDgab5Js9dkiRcHu4bCgRX0cKrY5twD/KunZh/3ujxXrS8dw+GxETsw0aWWynK36NC\nzJwzMmDhQpNbNzqSBMOGuahb93eE2enEvGoFlkULSiXMSmycPlsWwizwU1q0aMnq1SuLfa2goICl\nSxcTF9fSw7ZbsWzZDxQU3Jr/n5+fx9Kli70WES6o4hgMuO7oQsGk+/WKeJ42k36ZgLlzkHdu99j8\nxJcYX3/99dfLuxNXyc+/dS8hNxfmzTORm+telF3//i5atfrtWYCUno51/relqiKlWQNwDBqKs0dC\nmVVI8ZSgIEuxYyzwLv46ztHR9Zg7dw67du3A4bCza9cO6tdvwPHjx3jnnTdISUnm+edfpk6dKLfb\njoqK4rvvvmbVqhUoikJWViaJief4+eeNvPvudFJTU/jLX17xqO3i8Ncxrkz4/RgHBeFq3QYMBoxJ\nFzwTWE3DePYMhtQUlIYx5eIsFhRUvCe4XweEOZ26yUhKinvC3KWLQq9ev71nbDx4AMuan0oVXKA0\nisExeGiFif7zqwCPSow/j/POndt4//13SUlJvuH5iIgaPPPMn+jdu5/Hbf/880Y+/PCvXLp00ett\n34w/j3FloSKNsSE1BfPypaXKrtFCQrEPH1mmtaKhAjqEqSosWSJz/Lh7K+8tWqgMHeq6fTqbw4F5\nzSrkg/s976gs4+jVB1eHThUqb64ifdkqMv4+zpqmcfz4MZKSLqCqCrVrRxEX17yoOlVpUBSF48eP\nkpycDGjUrh1FbGycV9q+Hn8f48pAhRtjl0v3pdi9y/M2DAacPRJwdulWZtf2CucQtmGD0W1hbtBA\nZfDg2wuzdPEilqWLS3V3pdaoqQcRVEDHGYEA9OCs2Ng4YmPjyM3NxWCQ3BbPd955w6PjvvDCq25/\nTiAoEbKMo99AlEYxnjs6qiqmTRswnE/EPmQ4XF+lr4zxy5nz3r0Gt1OmatbU+MMfnFitxbyoacgH\nfsW8ZpXH0X2AXvEkoQ8ldjLxMyrcnXAFxZ/GWdM0tm3bwpkzp6lbN5ru3ROQZZndu3cya9b7JCae\nBaBp01imTn2cO+7oWqJ2e/bsjFR4F1zSS4gkSWzatMOj87gZfxrjykqFHuPcXCwrl5cunig4BPuw\nEaj1G3ixY7dSYZa1T5+WWLjQvZSp0FCNe++9jcmI3Y551UrkI4c87pcWFIx98FDUmMYet+EPVOgv\nWwXCX8Y5JyeH5557msOHDxYJaFxcc6ZNe57HH38Ii8VKhw4dUVWNPXt2YrPZmD37n7Rv3/F32548\neSKnTp0gLCycHj160atXHzp1usPry9e3w1/GuDJT4cdY05D37NKNSzydlEkSzu49cXaN91lZ3woh\nzgcP5vLNNya3YrSsVpg40UmNGreehnT5MpYfFpaqBJnSpCn2O4eU6/KGt6jwX7YKgr+M8+zZ77Ns\n2Q888cQzdOjQibS0VP72t5mkpaVSp04U//jHvwkNrQZARkY6U6feT0xMY2bMmFWi9lNSktm0aT2b\nNm3g4MH9BAQEEB/fk4SE3nTr1h2LpbhlLO/gL2NcmaksYyxduqRvZ97k+e4OSoOG2IeN9IkO+L04\nZ2fDrFk2t1KmjEa46y4n9erdegrGo0ewrFzueTS2LOPo0w9Xuw4VKujrt6gsXzZ/x1/Gefz4ESQk\n9OHJJ58tem7nzu1Mm/YE//d/f2HUqLE3vP+LL/7LggXzWLLkJ7ePdeXKFTZv3sDmzRvYvXsnBoOB\nzp27kJDQh+7dEwgNDS31+VyPv4xxZaZSjbEXgsW00FDsI8egeikd8Cp+HxD29de4ncs8eLDrVmFW\nFEwb12HatdPjvqjVq2MfPtpvnWMEgpKQnn6ZRo0a3fBco0b61kzt2nVueX+tWrXJzs7y6Fjh4eGM\nGDGaESNGk5+fxy+//MzmzRuYPft9Zsx4i7ZtO9C7d19Gjx7nUfsCQam4GizWsBHm5cuQbLea5fwe\nUnY21q+/xNFvAK627X0+afMbcU5Nde/9PXsqtGhxo8mIlJuDZcliDBfOe9wPV4tWOAbcCZbiE8MF\ngoqC0+nEbL5xadlkkgsfbzVbkCQJtTQF7gsJDAyif/876d//Tk6fPsXHH/+NHTu2snfvLiHOgnJF\nadwU2+QpWJb+gCHpggcNKJhXrcSQnKzrhA9NS/xGnN2hVSuVrl1vNBkxJJ7DsvQHpLxczxo1mXD0\nH4irVZtKs4wtEJQHBw8eYMuWTWzevJHExLNIkkS7dh3o2bN3eXdNIEALrYZtwj2YNm/EtGObR23I\nB/djuJiGfdQYtLBwL/ew8Bg+adVDbmdjdj2NGsG99+r7zYBu2bZ1K6xZA6hQgjZuITLHOc1HAAAO\nm0lEQVQSxo0jqArkLt9uf0PgXfxlnFXVhtN5bd/Q6dRvXhWl4IbnAVwufanP3b47HA5++eUX1q5d\ny/r160lPT8disdC9e3ceeeRh+vTpQ1hYWCnP5Fb8ZYwrM5V6jMePhHYtYNEiyPegrkJeJiELv4Yx\nY6BZM693z28Cwl5/HfLy7L/5nogIvS5zUS6zw4FlxTKMx456fFxXm3Y4+g0oF0/VsqZSBXj4Mf4y\nztfnIl+PpmnFPn+VkuQiZ2VlFu4rb2Tnzu3YbAVUqxZGfHwPEhJ607lzFxGtXcGpKmMs5WTry9yl\n2A51xvfAGd/Do3Qrvw8I+z0CAzXGjbsmzFLmFSzfL/A8PN5sxj5gEErLVt7rpEDgRwwePMxnbY8Y\ncSeaplGnThQjRowmIaE3bdq0+03RFwj8ES0kVF/m/nkTpu1bPSqgYfrlZwypKXq6VbFOWO5TIWbO\nJhNMmOCkTh29q4azZ7AsWexRxB2AGhGBfcQYtJo1Pe1uhaSq3AmXN1VhnHv27Fz075IKsiRJbNy4\n3SvHrwpjXN5UxTE2nD6FZdkSz7WlenXso8ejRUSU+DMVduYsSTB0qEsXZk1D3rUD84Z1HtffVGLj\nsA8aKqKxBYJS4MtZuUBQXqgxjbHddz+WHxZhSE1x+/OGjAysc+fgGDYCpXHTUvXF78W5d28XzZqp\n4HRi/mkF8uGDnjVkMOiVpDrdIaKxBYJS8uKLr5V3FwQCn6BVC8M2cRLmtauRf93r9uclux3L9wtw\n9OyNq0tXj/XGr8W5fXuFTp1UpOwsLIu/9+hOBgq9sUeMQq1X38s9FAgEAkGlQ5Zx3DkYNSoK8+qf\n3Pfm1jTMm9ZjuJSGY9BQjwKO/VacY2JU+vVTMCadx7L4e8/KfwFKvfo4ho9EC67EKQECgUAg8Dqu\n1m1RI2thWbwQKct99zz5yGEMGRnYR49FK/SxLym+KbNRSho2VBk+3IX54D6s8772WJidnbtgv+sP\nQpgFAoFA4BFqrdoU/HEKiodVCQ1pqVi/mIPhfKJ7n/PoaD6iZk2NhASFcWMcBP+yFvPKH0FRfv+D\nN2MyYR8+Cmeffte5lQgEAoFA4AEBAdjH3oWze0+P9pCl/Dys875G3r+vxJ/xm2Xtl16CzEynbiyy\n5AeMJ0941I5WrRq2UeNE0QqBQCAQeI/C2s5qrdqYly9Bsv+2adYtqCrmlT8iZWTgTOj9u4YlfjNz\nNplAys7C+vWXHguzUr8BBZPuF8IsEAgEAp+gNGmK7Z770MI989Q27diG5Yfvf7ecsd+IMxcuYP3y\n/2G4mObRx10dO2EfPwECA73cMYFAIBAIrqHVqEHBvZNRGsV49HnjieNYv/4SKSf7tu/xH3GeM8ez\nilJGI47BQ3H0Gyj2lwUCgUBQNlzdh76jq0cfN1xMw/rl/7vt636z5+x2HhmgBYdgHzUGNaquDzok\nEAgEAsFvYDDg7N0XtWYklp9+dFvHpNzb26P6jzi7iRpVV6+lKdKkBAKBQFCOKC1bYYuIwLJo4W8u\nVbuD/yxru4GrRStsE+4RwiwQCAQCv0CtXYeCSZNR60Z7pb0KJ87Onr1wDB0OcoWd9AsEAoGgMhIc\njO3uibhalL4UccVROJMJ+5DhKLFx5d0TgUAgEAiKR5ZxDB2OFhGBafNGz5vxYpd8hhYcgn3MONTa\ndcq7KwKBQCAQ/DaShLNbd9Tw6lh+XOpRwLPfi7MaWQv72PFoIaHl3RWBQCAQCEqMEtccW7VqWL5f\n4HaqsF/vOStNm2GbOEkIs0AgEAgqJGqdKGyT7kOtGenW5/xWnJ1dumEfNRbM5vLuikAgEAgEHqOF\nVsM2cRJKk6Yl/ozfibMWFIx92Eicvfp4VP1DIBAIBAK/w2LBPmoszh4JejGJ38F/9px79sSBGVdc\nCzFbFggEAkHlw2DAGd8DV+s2GI8fQ8q+vWGJ/4hzv364Lt3eykwgEAgEgsqAFhKKq2Pn33yP3y1r\nCwQCgUBQ1RHiLBAIBAKBnyHEWSAQCAQCP0OIs0AgEAgEfoYQZ4FAIBAI/AwhzgKBQCAQ+BlCnAUC\ngUAg8DOEOAsEAoFA4GcIcRYIBAKBwM8Q4iwQCAQCgZ8hxFkgEAgEAj9DiLNAIBAIBH6GEGeBQCAQ\nCPwMSdM0rbw7IRAIBAKB4Bpi5iwQCAQCgZ8hxFkgEAgEAj9DiLNAIBAIBH6GEGeBQCAQCPwMIc4C\ngUAgEPgZQpwFAoFAIPAzhDgLBAKBQOBnCHEWCAQCgcDPEOIsEAgEAoGfIcRZIBAIBAI/Q4izQCAQ\nCAR+hhBngUAgEAj8DCHOAoFAIBD4GUKcBQIfMHv2bCZNmlSi9yYlJREXF8f58+d93CvP8VYfb27n\n6NGj7Nq1yxtdFAgqFUKcBQIfIUmST95bXnijj1FRUWzZsoXo6GgAHn/8cc6ePVvqdgWCyoZc3h0Q\nCARVB0mSiIiIKPq/KCcvEBSPmDkLqiRXl1fXrVtH3759ad++PTNmzOD48eOMGTOG9u3b8+ijj2Kz\n2QBIS0vj6aefpkuXLnTt2pXp06fjcDiK2jt16hQTJ06kXbt2TJkyhczMzBuOl5aWxmOPPUb79u3p\n27cvM2fOxOl0lqivFy5cYOrUqXTo0IHevXvz6aef3tBucf1y9/yuvn/p0qX06tWLzp07M336dBRF\nKbZPxZ2Py+UCYOHChbRq1YozZ84AcP78edq3b8/ixYtvWNaeNGkSycnJvPLKK7zwwgu8/vrrPPzw\nwzccZ+bMmTz66KMlGieBoFKhCQRVkAsXLmixsbHahAkTtGPHjmlLlizRYmNjtUGDBmnbtm3Tdu7c\nqXXs2FGbO3eu5nA4tIEDB2oPP/ywdvz4cW379u1a//79tTfffFPTNE2z2+1a3759teeff147ffq0\n9tVXX2ktWrTQJk2aVHS8sWPHai+++KJ25swZbdeuXdqwYcO09957r6gvcXFxWmJi4i39tNvt2sCB\nA7Unn3xSO3nypPbzzz9rnTp10pYuXfqb/XLn/K4fj0GDBmm7d+/WduzYoSUkJGgffPDBDa9f7eNv\nnY+madp9992nTZkyRdM0TZs8ebI2derUW841MzNT69WrlzZnzhwtJydH27lzp9aqVSstOzu7qJ3+\n/ftry5cv99rvvThycnI0p9Pp02MIBO4ixFlQJbkqNv+/nfsLaaqN4wD+PdssMbShECi5mVdBQpsX\nGpaUGhQduxATkrwICp2SNw5vhFEZ0oUI6UCsqKA/F+GfGy9EsUYjMjMSMVpeTJgwxCho/4hi83kv\nXnbwbLmt931l4/X7udGdx3Oe3+8B/fn82ZxOp3KtoqJC2O125XV7e7vo7e0VL168ECaTSVU0nE6n\nOHLkiAgEAsLhcAiz2Sx+/PihtHd2dirF+c2bN6KyslJsbm4q7e/evRNlZWUiEokkLM4Oh0OYTCYR\nDAaVa5OTk2J2djZhXC6XK+X8to7H7Oys0j4+Pi4qKyuV9miMyfIRQgiPxyOOHj0qrFarqKioEBsb\nG6p+ornW1NSI0dFR5TmnTp0SExMTQgghlpaWhMlkUo3rTvD7/cJut4twOLyj/RD9Ce45064WPZgE\nANnZ2SgqKlK9/vXrF9xuNwwGA3Jzc5U2s9mMSCQCj8ejtGdnZyvtZWVleP36NQBgdXUVfr8f5eXl\nqr4jkQi8Xi80Gs22e69utxtGoxH79u1TrtXX1wMA7t+/v21c0SXmVPKLkiQJZrNZlYPP58PXr19V\nMSXLp7i4GAaDAW1tbRgcHMT169dx4MCB3+YX69y5c5iamkJDQwOmpqZQW1urGtedkJubi7q6OrS2\ntqK/vx/5+fk72h9RKlicadeSJAk6nfpXQKOJP4bxu+KwubkJIYSyJxtbXLOyspTvw+EwSkpKVHvF\nUYWFhdjY2Nj2JPTW56Qa19avqeS3lVarjXtW7D3J8olyuVzQ6XSYn59Hc3Nzwn6jzp8/j6amJvj9\nfkxPT8NmsyX8+Q8fPqCjo+NfnyQPh8MIBAK4fPkynj17pvqHhygdWJyJkigtLYXH44Hf70deXh4A\nYHFxETqdDkajEd+/f8fa2hoCgYDyR/3Tp0/K/YcOHcL6+jr0er3S/v79ezx58gT9/f0J+zYajVhb\nW0MoFFJmz0NDQ1hfX0d9ff1v49JqtaoimyohBFwuF44dOwYAWF5eRkFBAfLz8+H1ev8on5cvX8Lp\ndOLu3buwWCxwOByoqakBoH5LVmxRPXz4MAwGAx4+fIhQKITq6uqEMZeXl+Pt27d/nGuspaUlPH78\nGH19fTs+UydKBU9r06613VJyrKqqKpSUlKC7uxsrKyuYn59HX18fZFnG/v37UVVVhaKiIvT09MDt\ndmNsbAzT09PK/SdOnMDBgwdhtVrx+fNnLC4uwmazQafTYc+ePQljqa6uRmFhIWw2G9xuN169eoWn\nT5/i5MmTCePS6/X/aExu376Njx8/Ym5uDna7HS0tLXHjlSyfYDCI3t5etLa24vjx47hy5Qpu3LiB\nUCgUl2tOTg5WV1fh8/mUa7Is49GjRzhz5kzczH8nfPnyBXNzcxgYGGBhpozB4ky7VuysbbulUUmS\nMDw8DEmScPHiRXR1daGurg63bt0C8PfS8b179xAIBNDY2IixsTFcunRJuV+j0WBkZARarRbNzc3o\n6OhQ3qqUrG+NRoPh4WH4fD40Njbi5s2buHbtGs6ePZs0rlTz20qWZVgsFlitVjQ1NcFiscTdnyyf\nO3fuYO/evbh69SoAoL29HVlZWRgYGIiLo6WlBc+fP1ctX8uyjJ8/f0KW5aTx/hf0er0qT6JMIIlU\npw9E9L/l9Xpx+vRpzMzMoLi4OK2xLCwswGq1wul0pjUOonTinjMRAUj/p3V9+/YNCwsLePDgAS5c\nuJDWWIjSjcvaRAQg/Z/vHQwG0dPTg5ycHGVJnGi34rI2ERFRhuHMmYiIKMOwOBMREWUYFmciIqIM\nw+JMRESUYViciYiIMgyLMxERUYZhcSYiIsowLM5EREQZ5i8j/j8f7uiIWgAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1563,28 +1355,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "#### Learning Curve" ] }, { "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 51, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAFwCAYAAACCbrOvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nETkYhjMREZGDYTgTERE5mP8Hlp/kNMiE2u4AAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1622,10 +1407,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Gaussian Naive Bayes\n", "\n", @@ -1636,18 +1418,14 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 52, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAFhCAYAAABK5GKRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAEJCAYAAACQZoDoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzsnXmcHGWd/99PVZ8zPfeZmWQm90k4Q8IR7jOcIiioKIgiqKissu6i6+pPdlVWZFFwRZBDFPBAkHBKADkDARIg9zVJJpnMfR99Vz2/P57ume6Z6slMMj3TSer9enXSXVVd/VRP9fN5vsfzfYSUEhsbGxsbmzjaRDfAxsbGxiazsIXBxsbGxiYJWxhsbGxsbJKwhcHGxsbGJglbGGxsbGxskrCFwcbGxsYmCVsYbDISIcSPhBDrJ7odhztCiHuEEK+N8j1SCHFFmppkMw7YwmAzZgghHo51Cv8xaPvpse3FozjdHcBpY9vCZIQQU2Ptij9CQoitQohb0vm5Y0FC2w0hRNWgfQVCiGBs/6KJaqPNwYstDDZjTRD4rhCi5EBOIqXslVK2jVGb9sX5wCRgNvBT4KdCiCvH6bMPlL3AFwdt+xzQNAFtsTlEsIXBZqz5J7AL+EGqA4QQuhDiASHETiFEQAixTQjxXSGElnBMvytJCHGeECIshCgadJ6fCCE+Tnh9khDidSGEXwixVwjxGyFE7gja3CalbJRS1kopHwI+Bo5NOO/xQoiXhBCtQohuIcRbQogTE/Y/KIR4dlDbNCHEbiHEt2OvRewaa2LXvE4IcfWg9/ynEKI2Zrk0CiEeGUHbHwauFUKIhG1fim1PQgixUAjxcuzz22MWXl7Cfl0IcYcQoiP2uAvQB51jn9dhc/BjC4PNWGMC/w7cKISYkeIYDTXS/TQwD/g+8D2GjnzjvAy0AZ+Kb4h1hJ8B/hh7vRB4CVgOHAV8EjgaeHCkDY91eifH2rQqYVcO8AfgFGAx8BHwfIJr7H7gfCHEpIT3nAOUx94H8F+oDvvrwHyUZfJbIcSFsc++HLgF+BowC7gIeG8EzX4e8ABnxs5zDDAT+Muga8sCXgR6Y9dwGXASyd/Pd4DrgRuAE1Gi8LlBnzfsddgcIkgp7Yf9GJMHapT6bOz5P4E/xZ6fDkigeJj3/gx4OeH1j4D1Ca//F3gz4fVSwAAqY68fAR4YdM6jY59bmuIzp8b2+1EdZjj2+n/3cZ0CaACuTti2Hvj3hNd/Bp6IPc8GAsApg85zF/B87Pm3gS2Ac4Tfdbzti4DbgUdj2+8Bfpe4P7b9eqALyEk4R/zvMjP2uh74fsJ+DdgKvDbS64i9lsAVE30/2o/9fziG0QwbmwPhu8C7Qog7rHYKIW4EvgxUA17ACdQOc74/At8SQlRLKWtRI9nXpJR7Y/uPA2YOig3E3SszgOZhzv1ZVMfuBBYCvxJC9Ekp/yPW1lLgNuAMoAw1kvYCiUHf+1Gj/Z8JIQqBS1GjclAjaw/wohAisWqlE+V2A/gr8C1gpxDiH6jR/XIpZWiYdsd5EPhQCFEeuxar0fs8YK2Usidh20qUhTdfCNGCirO8E98ppTSFEKuAKaO4DptDAFsYbNKClPJ9IcTfUKPZ2xL3xTrvu1Cuk5VAN8o1cdng8yScb7UQYjPw2ZjYfAr414RDNNRI+X8t3r7XYlsidVLK7bHnm4QQ04HbhBD/JaUMAr9HCcK/oDrAEPAK4Eo4xx+A24UQS4FjgFaUayveNoCLgd2DPjsSu749Qog5wFnA2cAvgB8KIZZIKfuGa7yUcosQYg3wONAkpXxHCDF10GECNZK3PMVw509gn9dhc2hgC4NNOvkesBGV9ZPIUmCVlPKe+IZh4hGJPIqyFNaj3Bp/S9i3BliQ0MEfCAbqt+FCZVktBb4ppXwu1tYy1Oi6HylluxDiSeA6lDA8LKU0Yrs3osSkWkr5aqoPjYnQc8BzQoifAY3AyQwIzHA8gLIc/jXF/o3AdUKInASr4SRUZ79JStklhGgATgBejV2nQMUjGkZzHTYHP7Yw2KQNKeV2IcR9KBdJIltRmTTLgO3AVag5Cx37OOUfUdbHbSg3S3fCvttRrqt7gd8CPcBc4GIp5Q37OG9RzA3jQLmSvgX8M+H8W4GrY26VbOB/UPGIwdyPcgE5gf4JXlLKnpiVc0ess30D8KE6YVNKeZ8Q4trY569CxTuuRI3Ct+2j7XEeAZ4BOlPsfxT4f8AjQoj/BApQ39OTCWL6S+BWIcRWYB3KNTaJmDCM5DpG2FabDMfOSrJJNz8GooO2/RaVNfMY8D4qUPqLfZ0oFlt4C5V19MdB+9YCp8bO9Toq5fSnjCyf/0VU57cLuA+V6ZMYq7gO1QGuBv6EGpnvsjjPa0AdKvZRM2jfD1AB9VuADcAK4HJgZ2x/Jyrb502URXQ58Ekp5U5GgJTSkFK2SikHf9fx/X7gPCAXle30NCqecF3CYb8AHkK55Fah+odHR3kdNocAQkp7BTcbm7FACOFFxTO+IaUc3KHa2Bw02K4kG5sDJDYxLx6cDqAyjGxsDlrSLgxCiF0of68BRKWUiwbtFyjf5gWofPJrpZRr0t0uG5sxpArlSqkDviiltIo/2NgcNIyXxXCGlLI1xb5lqJmes4AlwG9i/9vYHBRIKXcxMGfCxuagJxOCz5cCj0jFu0D+oNICNjY2NjbjyHhYDBJ4KTZT8rcWKW2VwJ6E13WxbQ2JBwkhvgJ8BSA7O/u4uXPnpq/FNjY2Nocgq1evbpVS7rPy8XgIw8lSyvpYWYEVQojNUso3EvZbmeBDUqVignIfwKJFi+QHH3yQntba2NjYHKIIIYYrO9NP2l1JUsr62P/NwFOomZSJ1DFQiwVgMqqYl42NjY3NBJBWYRBCZAshcuLPgXNRk3cSWQ58IVby+ASgS0rZgI2NjY3NhJBuV1IZ8FRsDREH8JiU8sVYZU2klPeiZplegCqN4Cd1TX4bGxsbm3EgrcIgpdyBKl8wePu9Cc8lqrKmjY2NjU0GkAnpqjY2NjY2GYQtDDY2NjY2SdjCYGNjY2OThC0MNjY2NjZJ2MJgY2NjY5OELQw2NjY2NknYwmBjY2Njk4QtDDY2NjY2SdjCYGNjY2OThC0MNjY2NjZJ2MJgY2NjY5PEeC3taWNjMwxSgmkO/J/4PL4//kiFENYPTUt+2NjsC1sYbGzGECkhGoVwGCIR9XzwwzDUwzQHng/X4Y81cYHQ9YGHw5H83OlUj/hzh0OJjM3hgS0MNjajJBKBUAiCQfV/KKSEIC4GVmjaQOfrcIDbndw5J47oE0f58VE/DH0+WEzir+PWRuIjLkJxayRRlAwDAoFkwRqMEEogXC7V9vj/bjd4veoabA4dbGGwsUmBlKrD9PsHHsGg6jzjCDHQUebmqv/jHWh8pO1wHFwuHNNUAhe3eOLP4wLY06P+T8TpBI9HiYTXC9nZ6rVtZRyc2MJgYxMjHIbeXvXo61OiEB+F6zpkZUFRkRICj2dAEA61zk/TBqyBVEipvq9gUD0CAfVobR2wODQNfD4lEj6f+v4cdo9zUGD/mWwOKyKRgc4s/oi7gQZ3aGVlqjPLyhq+kxwtUkre/nAbm3fWU1FawLknHoHDcXD5YuKWktsNeXnJ+0IhJaxxgW1IWKhX1wfeFxfWuKVhi0bmYP8pbA5Z4h1UX59yA8X96HE0baBTystTHVV2tnqdLitgd0Mby268g4aWTkwp0XUNl9PB07/6FosXzkjPh44z8U6/sFC9NowBV1w8JhMIQGdncpzE5RpwRXm9Spxdrom5hsOdtAqDEGIK8AhQDpjAfVLKXw465nTgaWBnbNOTUsofp7NdNocmwSB0dSkfeF+f8o+DEoCsLNVReTwDj/HudEzT5Lwbfs6uva0YgyK8y776C7Y99z8U5vnGt1HjgK5DTo56JCLlgAUXj+UEAtDdPSAYLtfAe3NybKEYL9JtMUSB70gp1wghcoDVQogVUsqNg457U0p5UZrbYnOIIaUSga4u9QiF1HaPR1kA2dnptwBGw2vvb6aprWuIKAAYhskjy9/m5s+fNwEtmxiEUB19PHAfJx707+0d+Pu2tal9bjcUFKhHVtbEtPtwIK3CIKVsABpiz3uEEJuASmCwMNjYjJjeXhXk7OhQcQFNU6PJsjIlCJk6qtxQs5dI1LDc5w+G+WDjTst9hxtCDMR2SkvVtkBAiUR3NzQ1QWOjGgAUFiqR8Hgmts2HGuMWYxBCTAWOAVZZ7D5RCPExUA/cIqXcMF7tssl8TFO5Gbq7ob1dWQa6rjqF/HwlCulMB41a5PWDCiKPFAkUF+bhdDgIhaND9jsdOpPLiggbUh2cLiwsp9EYUyKF6eVIczpuPO5QWqpchJ2d6l6or1ePuKswN1cdZ3NgjIswCCF8wN+Am6WU3YN2rwGqpZS9QogLgL8DsyzO8RXgKwBVVVVpbrHNRBMOD7iIenoGMoZycmDSJDVKPJjmBgBceOrR3JSiF9Z1jWsvO3V8G3SQ4nBAcbF6RCLKcmxthbq6gf3xmEQmW5CZjBjNqGe/PkAIJ/As8A8p5Z0jOH4XsEhK2ZrqmEWLFskPPvhg7BppkxH4/epH3tWlXAcwkA6Zk6OyVCYipXGsLAaA197fxJXfvpuoYRAKR3HoGk6Hzk/+5dNcf8WZyQeng4PUYhgJ8cl38Ud8Ep7PN+ByOtxTYoUQq6WUi/Z5XDqFQai76PdAu5Ty5hTHlANNUkophFgMPIGyIFI2zBaGQwcplRi0tKjYgRDqh5yXpx6Z4DseS2EAaGzt5MEnX+fjLbuZWlHCdZefxpypk6wPHmsOYWEYTDCo7q32dvVcCDXAKCpSIpEJCQnjTaYIw1LgTWAdKl0V4HtAFYCU8l4hxE3AV1EZTAHg21LKlcOd1xaGg59IRJn/LS3qudsNJSXKPZBpdXfGWhjG9uBRchgJQyKBgBKI9nZlSbhcUF6uROJgc0keCBkhDOnCFoaDl3BYzYRta1PWQl6eEoTBs2czifEUBtMEI1aBNV6JdXBJ7nhhvMSCevH/EyunJv7vdMaOO0yFIZGuLnUP9vWp76WsTN2Dh4NAjFQYDnOPm8140dMzkGIKyjIoKxvbUhOj6cBT9elWm1MJgNXmxE3xYnSqDLdUzyMDHX409jCN4SubjhWJlVz7S2zr4HQKdMdAwb/43AKrUttCWH8XVlm4qUQklQvHarNTH3t/T9xN2dOjBKKuTqW/FhUpgRjLe/JgxRYGm7RhmspV1NIykGJaUqIE4VDJFIlGlZsisfx2KAShsBr5x0kUEYcDtPhaCA5wOZPXQtAGrY+QWIo7/v/g8yaW3E5c68E0Y0IUWwvCjO+L7Q+FYsdZTa+Il9pOKLft8Q7MHD/YR9jxzKXeXmhuVo+mJiUapaXJk+4ON2xhsBlzpFTWQUODGjH7fFBRoeYcZFpn0tXr59Fn32bFyg0U5GbxhUtP4dRFcy1Hu8FgQvntAPgDyesvCAFOF7hdkJ8HLndy6W2rBW/G25FrNf6Or+2QWGI7HFbWTbzAYF8sYyzxBE6HmjOQlQ2+bDWXwOkcrysZO3w+9YhEBgYy27Yp8SstPfziEGALg80Y09EBe/eqkajPB9Onq/8zkZo9TZx53U8IBMP4gyq38bk3PuKCU47i/h9fTyikqbIM3WpUGXeXCAFeD+TmqBG01ztQKTSVwz7TQ3nxhXiG69hNc6DUdigEoZhQNjYOXLbLqQTCl6MGAgeTW8bpVAOY8nJ1Hzc3w+7dyoqYMiWz42BjjS0MNmNCT4/y1fr9qqOcOTPzf0jX3HovHV19mLFeW0pBb4+D5Sv2smDyBs5YvBBQHX5eHmT7kheg2VeM4VBD0wZmICdimhDwx9aw8CsR7eyCvXVKGHJylVsmJyfzMs6s0DRlJRQVqft6927Yvl0J3ZQph44bdDhsYbA5IKJRJQhtbeoHM3Wqmkw0VjniEWPkgWMzxQ7TYvOOPU1s3tWAYehgesHwguEBBMGIwROvvMbnLl+gJtU5k08QjlkOpsWJrT5LtTlFANvyWOtzjAVWfxdtFEHiVMe6POpRUKReh0LQ2y3o7lEj78ZGdb7cPCgoEOTmDrVOrE6d6vu0OjbVLXcgAeycHJg/X1kNDQ2wYYOaeV9WdmjPg7CFwWa/kFL5Yuvr1Yhx0iRlgme6LzZekXX9Jj9aeAoE4/6hKDi6Qfcj9DBd4UD/egKpOieb1Ljd4C2FklL1nff2QlenqnHUEyuK4/Eqd1xOzJrI1I5WCHVvFxbCnj3KVdraCtXVQ0uJHyrYwmAzanp7lXkdCCgXwZQpmTFDORWmGSu10QndPSBNyPOWEjGC4OoBLYDQBlKIhBAcNWd863Gt27Kb+594hZraJmZPm8SXrziL+TMnj2sb0kV8xnFODkyeomIU3d3Q2wPNLcqi0B1QWAD5BSomlYki4XLBjBmq7bt3w9atKsuusvLgcJGNBlsYbEaMlGq01NSkfiTTp6vSAplKfA3i1jaVjul0QVGhcmf4fFlctqyK5a+tJhhKrnbqcTv51ueXjVs7H37qNW77v78RjkQxTcm6rbtZ/uoH/Ne3ruKqC08et3aMF/GS2pQr0e7uho525Y5saVXZTgUFUFwCWRlYKTU3V7mX6uvVb6GrS1kPh1J6qy0MNiMiHIYdO1SAsbRUjZIy0W0Utw7aWqG3T4088/JUJ5OYHSUl3HXr5+n2B3ht1UZ0XUMTAkNKfnnrFzh2/rRxaW99cwc//vXfCIUH8l4N08QImXz/rj9x9kkLKS44hHqcQWiaCurm56u/SVeXEomWVmVNFOQrN0529kS3NBlNg8mTlYDt2qXSW4uKlPV8KFgPtjDY7JPOTnXzQ+ZaCaYJTc3Q3ASRKHjcSryKitSEMSu8HheP//wmanY38d66GnxZHs44YQFZnvHLsXxqxXspA9NCwPJXV3Pd5WeMW3smEk0bWJ0tGlUupvZW2LJZiXpZeeZlumVnJ1sPPT3qN5JpQjZabGGwGZa9e1VGSVaWuuHHIi/9QDONEoPBhqGC4M3NquyELwcqqwaCghKIRIeeI5pwkspJJVw2qUSdz5QEwsnTgI0U0Wer7dEUNS0iKc5R19JJODJ04R6AYChCXWsnrX61ZuloYuCpjLnErKJwOMITL6zkr8+vpC8QZPGRM7n+qnOZUVUOgNPCJHRo1s5/3WK71bbRbC8phZJSQVur+vtu2apSZcsnQVHB0HNoKc4btrjfwDrDan9qPgmhBiEFBVBTA1u2QFWVKvtysGILg40lUsLOncotU1ysbvRMCggahrIOmltU/CAnB6qnZu5kulQcMaeabK+bvkBoyL4sr5sFs9ITBA+HI3zxu79i6856giHlxnrm1dW89ObH/Pa/v8rxR85My+eOFk1TAlFcoiqjNjfBzh3QkgWTKjLLgsjKUtbDjh1QW6tmUk+atO/3ZSIZ6CW2mWhMU03o6ehQftTq6swShY4O2LhRWTI5PpgzF2bOmnhRMAyTB/76Midf+T3mnPsNTr7yezz4xCsYRurKeGeddCTZWZ4ho11NE+TnZLP0+PlpaevfV6xi686GflEAME2TQCjMv93+yKgqx44HQii34Nx5UFWtaj3V1Cg3U/fgNSEnEF1XkzuLipR7qbY282e9W2ELg00ShqECad3dShDKyia6RQOEQrB9G+zaqTJXZs+B6TNiGS4ZwM0/eYhf/v45Wtq7kVLS0t7NLx9+jlt+9vuU73E6HTz8i5uZNqUMr8eFL8uDx+1i1tQKHrzjm+h6en6if33+bYKhsOW+rp4+tuzYm5bPPVDiAjF/vrJiI1E1iNm2Vd0fmYAQaqJnebnKituxI71Vc9OB7Uqy6ScaVaIQCGRWkNk0lXXQ1ASagMrJKn88k6yYDdv28Oo765JG4ACBUJhX3lnL5po65s4YOi/BNE3e/3grUkocukZJYSGfuuBULj7rRKIRaGkWSFN9B/GqqImdjBBD12NwOMCpg6bL/iqtLndytozfwnUVR9M0S9dWJiGEcnEWFanOt74eNm2EikqVNTce9AVCGIZJrs86p7ayUqV1x0tqzJhx8GQs2cJgAyh/6NatKi11xoyx8d2mCvpZmdZW5SUAunoku2vVaLCgQImCpkvLtReiKT4vauHKiRiSSNRgxdsf8+HGnRTkZXPpWYspLh564cEUrqBAwiIET72+OinlNJFwJMqT/1zDZ4tUvQjDgHAIwkH4+a+eZP3GPYSDDpCldLcI7tjxPhu3OjlpyZH959A0kAI0TQ4pu93/fUrRLyBWgVVNV8X/nC7JtCkLqdv7AYYMgogkiWwkapBVXMTenuCQc2S5rC0Yj0WP53FY94KuFFaQw6J0Rapgt5lwjvwiyMqB+jpJba2at1JVNTDpMlWw26qGRiSF2yexrMaHm2u5+WeP8v76HYBgVnUpd9zyGc458Ygh7yspUWIQT2mdNevgEAdbGGyQUo1owmHlH82Uaf4tLbB7j6qpM3PWQLuGcdlbIqUkGIrgdjnQYr3q3qZ2rrz5F3T1+OkLhHA6de7+wwvc/MWLuPbyM0fdVsMwkSnyhkzDgb/HSWOdRsAviMQ8ONtq6li3rkVlTWkRVZZDRIkKgxdff5JLLptGbp63XwhGWppDShBSxBb/EWothjBEIgIMQTgoOPm4pax8ew9GOAJIpBYBLYzbY3DhOceS5c3gqewWxGclt7Wp4n1bNqtkhPz8sf2cDTV7OfO6nyVZVJt2NHDFv9zNX35xE+edvHDIewoLlbDv2KEes2aNbZvSgS0MNv1VUTNJFOrqVIpiTq7y1+7PKMs0TX77l1f49aMv0tntx+VycOWyk7j1K5/gxv/8LU2tXRgxv0wkYgAGv3z4WY6eP42j541ugtvJx8/nz0+/QTAURkodjCxVlM/04HK6qS5fQF+vwJslyc2XuD2w/JW3iOo1CItfoe5ysW7jZk45+ZhRX7cQA4sAJSe5yv6Rb9VMH/+vaBm//PXfaW8PouHBiHo4ddGxnHrsSezYIijME2TnSLJ98qAY5YJyLeXkqIy6nTuUa6liDDODfnjPk/0l2hMJhCJ85+ePWwoDDFRm3b1b3dcjcXeZpsmr723i8effIRSOctFpR/PJsxfhcqa/2077Jwghzgd+CejA76SUPxu03w08AhwHtAFXSil3pbtdNor2dnWjlpVlRuqfaULtLujohJJimDR5/2MJ/37nYzzx4ioCsSBrIBjm8efe4u01m9nT2NYvComEwlF+/7d/cvR/jE4YZk+rZu60Bazf0EwkFPtZiShOT5gF8wo59cxi3O7k+RGhaCD1+g2mTHJNSSnZvKWWd95fh2mYLDp2HgsXzOy3gNau38aTT/+TvQ3NFOTncskFp3DKSUf37x+MELBg/mR+e8/XaWluwx8IUT25DE242LK1ieef30BnR4SZ1ZUsOW4uBQUuJWilme8KcbnUqLx2F9TvVbWxKivH5twvv7shZcbWrvpWWtq7KSm0nqleUqKSOurqlHgNLl+eSDRqcNnNv+KtNVv7rZPn3/yY2+59mjd+/32K8tObgpdWYRBC6MCvgXOAOuB9IcRyKeXGhMO+BHRIKWcKIa4CbgeuTGe7bBSBgEqn8/nG7odzIESjULNdrRZWWanEKkXYYJ/saWzjLy+okVYioXCU3Q2taMK6w5RSsquueUSfYZrQ3SnobBcE/IIbP3M1T/3jDV57dyVR2Y3bAxefdyJfvOp8DAt1O/7Yeaz5eKtldpApJfPnKnEyDIOf3/VH1m/aQTgcQUrJG2+tYfLkMn7w71/m1dfe409/falfSLq7+7jvoaf4eN02vnHjp5NWozNMkw8/2sLbq9YhhGDpCUey5Ng5/QLyx7+u4C9//yfRaBTDkHy8LYflr/q49aYvUewvprtVkJsnySuQZGdosTtQrpup06Buj0paiEbHZi5OKqFVyH1mkVVXq1TrHTtg3rzUZWXuefxl3li9hUCCddLrD1Hb0MpNP3mEx//na/vR+pGTbothMbBdSrkDQAjxJ+BSIFEYLgV+FHv+BHCPEELITEukPsQwDJUHrusqA2mif+DhsArORSKqPQfqG37tvQ0pf8ShcDTlPk0IplcNn6MbiUBHm6ChWcOICtweSUm5SW6e4LtHnMJ3jJMJBEN4Pe7+jsKwiJafetJR/PEvLxGORJKC7y6ng6OOnE1FbDb2M8+/xbqNNYQTLIhgKEzt7gYeemQ5b7/7MZFBs6dDoQirPljPedtPYM6s6ti2MD/6yf3s2dtEMNbhvL1qLVMqSlmyaB71jW28ufJjIrGguhAQivYQFj3832O/4YFf3Eq4z0FXh6CrU+BwQEGRpKBIKn9AhiEETKlSFkRjo1r3euq0A6vxdfHpR/OXF1dZznqfP72SwrzhR/IOh3KNbtumLIeqFPMX73n85SRRiBOOGDz7+kf0+oP4stIXB0q3MFQCexJe1wFLUh0jpYwKIbqAIqA18SAhxFeArwBUpfo2bUZMba3qjGfPPvB1eq1KXEDqiT2Df1ThMGzZLDEMNS/B5xsIMEetyk6kiD4ntmNfeeM5Pg+9fcEhk8+cLgfHHzefG394Px+u347b5eTMU4/j8ktOw+Xw0tqk0dstVIDXHSWv0MSRLfED/j7wJ1ZqDQ5k9Qyu4Brnmzddw6OPL2fHzj3ouo5pmhx37EI+ccnZ7K5XM7eeeeHNJFHov95IlDdXfkgqf1QoFOG5f7yL16fyjv/+9Ap21jYQjQ60JRgMs21HHdt21KX8rqSE1o4eVm2u4Yg51Xi90NctaO/SqNsmEDVQWW5SXJacMZXrsVaLbKf19izH0O7ITLHIjuUtmyL7qKwchKaC0uGoiqUJgeUsLi3Fdxm/t35w42W88OZauvsCSWKe5XHxq1uvtnzvYHJzlTXc1KSeWw2CWjt6Ur5f1zQ6uv0HtTBYfcuDf+kjOQYp5X3AfQCLFi2yrYkDwB9b2L2iYuJnCwPs2a1M/Vmzx26y2ulLFvDDu/9suS/L6+aW6y/jt4/9g/bOHvyBEC6XAyR84ryTuP2ePxMKR/t9yU8++zr/fG0r37nha3jcbvIKJflFJiHTsDx/IpFIlA/WbGDNh5twuZwsPv5IZs+a2u/eycvL4Ws3fo6vkXkMAAAgAElEQVSenj56e/soKMjD6Uju9np7/SnPP9ysaqDfTWWaknff+yhJFEaDpgk6OpRQCQG+PIkvzyAcgo5WjY42J709UF5hkJUB99RgSmOxkd210NigymnsD9UVxbz9x//kh79+kmdf/xDDMDlt0Vz+6xuXc+z8qSM+T2XlQLwhL2+oxT6zqpS1W63FWhOC0sL0ZomkWxjqgCkJrycD9SmOqRNCOIA8oD3N7TqsaWlR5vR4TQQajvZ29QOpqBjbGcyTSgq4+pJTeezZt5JMcrfLyZxpFSw7YxHLzljEytWbWLellvycLM455Ri+eMsvkyapSSkI9+XT2uvkzXc/4MtfOgFnbM3f0NA0/yS6u3v575/dT3dPH6FYB71mzUZmz57G5Z88B13T8fl8CCHIyckmJ0eV5BzsdsrLz6Wjo2u/voeCApVREDWiQ9xNo8GIGkwqH1oVzuWGskoTh2HQuFdnzy6d/ELlWhsJUkrWb9nNui21FOf5OPukI9M2Ei4qUqvHNTVBXr4qp7I/TK0s4fc/ueGAlgwVQt3zNTVqkBZfLTDO966/hOt+8LshGVBej4sbPn0mbtcBmvn7IN3C8D4wSwgxDdgLXAV8dtAxy4FrgHeAK4BX7fhC+jAM1RkXFEx8dkl8veisLFUkbaz5wdeuYPrkUu5+9EUaWzrJyfbymYuWctPnl2HEfP+nLF7AKYsXALC7voXW9oHCO9J0QrgETCeGo4NX33ueG29cQurVhZN56JGnae/oShrVh8IR1q3fysZN29E0jdwcH1dcfj7z5s5IeZ6zTj+Rp599eb869uwsL21tHTz252f2u/6RrmtUV1f0xzysyMqGqTMNWpsEHW0agT6N7Dn0i6gVXT1+bvz+b9he24Bpmjh0ne/d+Si33/J5Lj5z0X61dV9MnqJWIKythQXzJza2lp+vMpMaGtTvMbEtnzx7EZt3NvDT3z2DQ9eRUmKakotPO5rbbvpk2tuWVmGIxQxuAv6BCk89KKXcIIT4MfCBlHI58ADwByHEdpSlcFU623S4096u/O8laeiIR8veOiVUVWkq0ieE4OpLT+NTFy7FNM2kgHNfdKgbKByOoMUEQ0Z9EC4EIcHdhNCD+P3w7D9WcvH5+15Vze8PsGHj9pSuHsMwMQyTtvZOHnz4CW68/jPMmGEdOzthydFs2bqDdRu2juSy+3G5nHi8bu66+2H8/n2YNxY4HDq6rlNWUsjNN30u5XFSSuoaWjBNyeRJxWT7JPV7dHZu16isMslOMTK/5ScPsbmmrj/YHUIJ37/d8QdmVpczz6KEyIHicKiA9I4a1SFX7KdLaayYNEllKHV2Di1B873rL+b6y0/jhbfWEo5EOf34eczcR2LEWJH2eQxSyueB5wdt+8+E50HgU+luh42ipUWN0Pd3IZHRrKWQaoQqpaS7W81SLS9XpQusgsxgveZBqmB3yKpOBgkikBAT6A4OHX0XFhchEMhQERg+0ILgbkWIgfc9+tcVnHDisWiaRo9/aEDYH9vW0toeE6KRxSGe/PtLfPma2M8gNjU6GhFEIxqGITh2zmI2rO3AiAIybupJJVz9ITkTNANERD0kNO1tIhQKj8pa0DRBeXkpS44/kimTJzFt6mQiUUFbR4BgdrIJsH7jdv7w6HJ6e/0IIXC7nXz+MxewZNEx9DZ7WL8JistNlbkUb7VXUt/Uzur1Nf2ikEg4YnDvn1fws+9+gVTpTkIMvZ5UYwsxaNSRkwv5hUoYcnKTfwvjbUEUFKj7P241DKakMJcvXLJ0fBuFXV31sMLvV3MXMsFaqKsDt0ctupIpOBw6F519iRIFZ5eyFERyxxUMhenu6dvnufJyc0bVGdfXN/UfH+jTad7roakui7YmD52tbhwUk+0qBjPmWxYmIEBqIJ1qu+mBSB5atBSHMZmzFn+ajWsDRIJeS/F2OHRmzajG4XD0p9W6XE7KSov58rWf5rRTFjN92pQhHWuc7TW7+c29f6K9vYtwOEIoFKa7u4/7H/o7az5ez5TpBtk5kpYGjc725HPU1jXhtMhCAjXjd3Oaq7tOnqzcXHV79n1supk0Sf0uM6l8uF0S4zCiL9afTXTZi3BYBW4rD2BWczqIhGHRkYv5+zOvE6bT8hhpSrwjWPrT5XKyeNFRvPfB0DkGVgih4e/R6e1yEQ0YOBwmeYUhXG4TzSHRNMlVV87i4b88ZznKBjXSLysuYvqUao5csJBoROed1SaEi0DLRTrbEPpAjR9d0zlpybFcesk5rFu3hVA4zIzpVcyYXp1SDBL5299XEI4MtZrC4QiP/fkFzj3laCqqTPbs0Ghv1sgrMPr/3iVFeRhGamuqoiS9pX11XVVnbahXsa4UGjUuxCsO9PWp9NVMwBaGwwi/X/0AxmJ5zgOht1f9nwmpsom0twqEgPMvWMALL7UO6YA1TWPBghm43cNEVBO46MKz6OruYfOWHQihyhxYWhGmh6mVx9DZ6sbpkhSWBvFkGUNEs6K8hK9dczkr3nyfjVt3Ju1zOhwcOX8mF551MoZhsnzFW2zcqj4XlwsihRAqR+q94OpACBMEVFVVkpXt5fTTThjNVwXAzp2p5z60tXfT2xcgx5dFYalk7y5Bd4cgr1Bd/8ypFUwqLWRXXfOQ78TrdvH5y04fdXtGS/z+6+0d+2J7o0HX1Z8oOPowUNqwheEwoq8vMxYp7+5SApUpC+yAGjV2dmjk5EW46vLT+XDtBppb2gnFUlddTgcer4drr75kxOd0OHSu+fzlNLe0sWVzDYFgiDfeeq+/rAWAMPJxUsKJS46iqDyEJ8uESOqRdH5eDp+66Ex6+/y8//Fmausa8GV5WXTUfKonlyOE4NmX32LTth39I3LhCCD1eojkQTQXAlk4vD1cdP4JOA4gNc3h0IeZRyFxxoq9ZfskHq+krUUjt2Dg2m7//hf5ynfvJhSOEAiG0TSBy+ngM5ecwonHzt3vdo2U7Gw18a23Z2KFAVR2UiAwsW1IxBaGwwTDUDdeOn4AqTzpqVzs3T3KnSVHcKxpsSOV796QqWZED90eHBSobmnUCEVM8kojaA4H//3Dr/HG22t4/c01hCNRjj1mPqcuPY7s7CyC4VgWjUUAO2SxwE2ez8cxR8wBYP6sqbyxcjWbt9ZihoqZNqWaE4+vZvIUPxp+8AORFIvkJATPfQLOOHoGHJ2Q5hrooi8QYsOWmiGzw4WQ4OpEOnoRkWJmTj6K8uwZRPt6QVqPFqzcSbpjICx5zFHzee+DdZjm4M8SzJk1FXRH//ecXShp2K3T2ibxudXfr7y8hD/99vuseH01a9Ztp7wol0vPPYG5MyYTiZ3TLVPXtBry9Uhr91fKWI9Q4tDdM3D/pTzU4rtIkeuAYz8it16vijFImRnuVVsYDhP8scmzE20x+P1qdJ6TIb5UUKLZ1S7w5UpcMTeby+Xk7DOWcPYZS+jus14Cc3/Iz8tl2VlnsniBB9MQ5GV3kJ1rvcDP/tDc3oWuaynLhggtCu5GttcFKNtYwHxjMiVT929Oy0UXnsGGTdvx+4P91ommabjdTq7+7EVJx2bnSJwuSUerxtSEFNEsr5tLzz+JS88/iVz3+HdHOT61+ttExxm8XiUKweDwVVfHCzsr6TAhHiOc6PhCfF3eTLj544RDam5HTt74zKsM+nWMqCCvKDymogDKPy9HsKJPVHSxetN7RMIakdD+dQN5eTnc+t0bOP3UxRTk55KX5+OUpcdy2w9vspwMl50rCYdERq1/7I5Nsg6PnfbvF/F6ZRax/AnBthgOE+Kjof0slTNmuGJx23B4/GMMoXCE1vYu8nJ9JK6O4/YAAoIBgSO9lQYAyM6N0tftpLfLQVbx2LoOyoryyPJ6CO8jpVZKQU+XhqZH8GTt/0Xn5GTziUvP5vOfvWCfx4aDallRLdVSmxNAXBAOtJDkgRJP0JpIqyWRDGmGTbpJ7JAnkrjFEh7HteYjkSh3P/wsf39xJUIIoobJ8cfM5eYbriAvNxtNA49HEvCPj4tL0yC/OExbo5ueThe5BWP3RzFNybKTj+KJl1dhmGbKtbSJ5qLhpKA4Sopapf0Yhsm69Zt5972PCIfDzJ49jTNOX0JhwchXdpISgn7lrhtpSZHxIBJWwjzRwhC3FCa6HXFsYThMyBRT1eFQ/uzQOArDzT+6n9XrticFSd9bvYmbv3839915C06nA09WLM4wTsE/T5ZBVk6U3jYX3uwoTteB+VcMw+SVVetYvXEnEokpJYV5OfT6A0lFAQGk4UIYBcyeWaSyoFKwafN2Xn3tHfbWNyFNsz9ZoKm5lXfe/ZBvfP3zVFeNrKaEctcJvNkZ5EdCDZSGq+c0XsQtedtisBlXdF2NVNMhDCn70RQ7XG4YvGhZynIGVttS9NxW23/z6Iu8//HQGkNRw6Cjs4d33l/PmUuPIccHbU0Gaz/ehdNtMmd2dX8FS0eKVbl0i/QTR4q1Bozo0J9afqlJsNtJR0cuJRWBfQuSZZlv9aYnVrzO9tp6oglzLzq6einI8+H1eOjtCxCJRpFSx2FMwpPt5MJLFoLTjW6xhvBrb7zLG2+9bzmBTdV5CvPwI0/y4x9+AyEEDotKo44El1FvUKALyPaBnrC9Lla4cEplCfllhUPOkXKincX2lN/fMPdLJAIe9/4NBvYn+ygV0aj6jWZCRhLYwnBY4XSO70g9FW7XQJZUOmnr6OHXf3g+5f5AMMzK9zZw5tJjeOnNt7n//rVorh50dyeGKfnsp8/jwvP2XTBvf9F1yC8O0d7sobXRQ5Yviu4IEQr2keVx988D2Bct7V1s31VPdNBMYsM06e71c9HZJ9HbG2XtukaMaDYzp07jpFPL8eVYn7+7p5fX3lyVJDKWx3X3Ul/fTGXl8IXdpITeLoHuVC7NtRt3cs+DT7Nx2x6klDgcSkxPXbyA/77larLTuADN4HaFwpCfAWudRyKZYy2ALQyHFTk5qrqqYUxsye28fFVNsqPDunDYWPHca6vZlz/b7Xbx+sqPeeCxZwgbudDrg7AL4ejhsT+/SF5ONkceNX9M2yWlZP2Grby3Zh3d3T3kZ01mwYyF7NjVwtaaWhBRpBZk3uxSlp15JFlZjmFHkjv2NJA4K0RKDUwXmE5CYRcbPg5zyuLjqTodXDkOcvIjw7qQNm7azkjiAJqm4Q8MP11XSmis0wj0CUoqTN5fs4nb7/pj//rUQL8AvfneBr7xw/t48Off3OdnjwVtbWq5z9wJFgbTVHMYJnqSXSK2MBxGFBVBayt0dQ1dGGQ8KSiApka1YEo6haGzu3fIKDoRXdc457RjufPeJ9QMZ1cbhHUIFyIxCdHH40+8xJFHze9fiW3Dxu14vR5OOuFoiktKaGhs4bXXV1Ff30xJcQFLFh9N1ZTUfvct23by5PKXCAYHTLfOrk3UNmwCnJi6BwwPRDxs3NhHY/06PnHuUnQddC2Krkt0hypnIU0BCII9eZihUmRUqoJ6MkH1hYnuhPyiEJ6sKPoIRuPRaBQ5gpxSwzCoqEi92lNcFHq7BMXlJrn5Bnff90SSKCQSiRqs31rL5po65qah5HYipqkqmmZlTXyH3NWlBmtFRRPbjkRsYTiM8PmUO6mzc2KFQQgoLVPLLHZ1DRQRG2uOmFVFttdNn8VsZIAZUys4Yu5U6hta+9slXS0QKoVwMRJBc0sHLa3t3P6Lh+jrCxAKhRFC8Obba6iuqmTnrj2YhokpJXvqGli7fgtnn3Eyp526eMjnbd22k788+byli0aN9yMIRwQcar1f03TSHcymvW83VZMqMMISw9AIh3VVcVvpAlPKKsHcDBigBUCLgBYGLYLLJVi8+IhRzZeYNnUymq5hDCMOTqeDE5ccTXaW9YQUKaFhj0ZftxKFgmLJztpGAsHhfZlSwkcbd6ZdGFqaIRqBadPS+jEjoq1NudgyqXaYLQyHGXl5A4v1aPsRPLMKBsoURTEsSuYDas3a4iJoboLmRijIBzNFW3SLMgepMjDdg4LE5550JD/J8xEIRYaUbcjO8vC727+B2+3E6XQQjlVAFUIi3c1q5bZwEbru4PePPE1nZ3d/6qeUknA4wrbtu5LOKaUkEony8j/f5oQTFlJaMqC+AZeDf7zy1j799okILUKEThp76zl+1lzL1FP158jmlL5KVr67JqmSq9PpYOb0amYfMb//7+awWBLS7Ur2K+bmTWdqVSU7a/cOWSNaBZo1TjnpGK69+uL++ECOd+C8cVEQIQfTp5oUFqu/i0dXf/vh0HWNAl8Wnpiv05FizoNusV1Pce7Bh0ajShjy8oZWGk6Z2DBsq/efSES5kcrKMifwDPbM58OOggIlCj09E9sOIdSPwe9PXx16Xdf4813/wuxpFXjdLnxZHrweFzOrJ/Ho3f+Kx+NCCMG5px2b1NGoukLNoPspK5jJls09GCkWB7LCNE3eXfVx0ja/P0BH5+gvVAjQRxAQOufMk/nkJedSWlKEw+EgPy+Xc89ayueuunREJbQHc8P1V3H8ogUqldfjRtc1Zs6o4htfvYq77/w3vnztJ/pFIRHTHLAUSieZFBYPfG8zqich9tHFGobJWScuHHV7R0NTo3LdVFSm9WNGRHu7EtJMciOBbTEcduTkqOyHxsb0uXBGSlGRasfu3TB95sAkvLGkorSQv/3fv7Flx15217cwubyIeTOn0Jcwsr7mirN49uX3kt4Xdys1tEh0kQ9RF9LZjtD3XRvZMEy6unuTtmmalrpC2zA4HA6OWrjvSqNCCI5cOJcjY8dq+2MOJuByObnumk9y1acvoKOjm7xcHz5fFtke6y5DSjUPpL1Fw4hCyaQBSyGO0+ng+quXce8jzw6ZWwHgdjn48beuwpedvnopXV1qFcPCwokvy2IY0Nys6pd5xicRa8SkTRiEED8HLgbCQA3wRSnlkNVPhBC7gB7UGohRKWV6VgG3AVSHN3ky7NqlbsrS1LHDcWnL9OmwbRvUbIdZs9OXsjdneiVzplsPEd9fuw23y0EoPNhtApqnnWgkCDIPQmVIPQCO7mEFwu12MXP6lKRtXq+HgsI8Wls7Ur5PiGTtcDodzJs7k8qK8Vnn14osr4csb+peK56K2tqtE42AN1tSXGXiSVHu5JMXLiUv28Ovf/8cnT19GIaB0+ng2AUz+M51l3DU3KnpuRCUlbxzB3i8MHnKvo9PN3v2KFfS9OkT3ZKhpNNiWAHcKqWMCiFuB24F/i3FsWdIKVvT2BabBIqKVKro3r3KapjIwnpZWTBjBmzZqsRh5qzxT6Xt6uojHLYuIhU1TMonuWltayYS8Kr1DEJlSC0Cji7Q+4b4hqWUHHfsgqRtb61cTWdnav/d1OrJHHPUPN5+Zw0dnV3k+LJZetIiFi866oCvbzii0ShOhzbq+kWmCX09gs5WnXAIigqgtNIk27dvq+iy807g0nMW09bZg8ftIidmIWSlMZG/txd21KiR+cyZE5uuDcpyaWtTy3pOdMVjK9L2l5BSvpTw8l3ginR9ls3oqa6GDRuU5TBnzsS2xeeDadPVD3dHDUyfMb4/3NnTK/B63fgtspe8HhefuOg03nj7Q2p21GEYfWgyFyPsY8mis1m5ajVS6wZHr1oVDSUMb7/zIWecpjKTQqEwy599dUggF1RQ86yzTuacM9VEuhOWHIMxigD1/rLmww28+NLrdHZ2o2saRx89j8suOYecnOF7qVAQejo1ero0TEPNYi+fYlBeOjph0TSNksLx8WX6/eq+cjphxsyJn0hmmsp96vEoYchExusrug74c4p9EnhJCCGB30op77M6SAjxFeArAFVVVWlp5OGE0wlTpozepWRVBiBqpipbkOosQ0eVhfkCMV21p3aHshyUm9zKV55irQFh7Ve3Cr46E0bIF5x8FHfe9xTBQdlLQgi8HhdXXbCEaz6xlM3b9/DRhh1ked2cdsJCfvP719F0EyNcAJF8pB4EvY+w9PPMc//k05eegtPh4IM1u3HommU5Egk01DdSUT5Qvc9IkXZlWRAvxXdslbUD4NQ1Xnjpbf721ArCsfkEUcPgw482smvXHu786b+QFZvrkOVU36cRhd5uQVeHhhnV8QgoqZDkFZhk+wAcZLuGKrnXIjgN4Emx3WVVViNFORKrbCXd4v2BAOysETgdMHt2chzLKkMqleHktDj3/tLQoGo0zZmTWZlIiRyQMAghXgbKLXZ9X0r5dOyY7wNR4NEUpzlZSlkvhCgFVgghNksp3xh8UEww7gNYtGjR+BTOP8RJdCnl5Ex8MC4+2W3XTti+TVkRYhwsB13XePTOm/nK93/DnsY2NCGQEooLc7jnxzf010yaO3MKc2cOOKffX/shpqMNNCdEs8HIBqMYkJiawdqPm1l4REXKRXPiWFkS6SIUCvOXJwdEIY5hmHT3+Hn5tfe5eNkphAIQCAn8vRrBgIoluD1QNskkN19O+Kh7JMQtBU3ArFnpSW7YnzY1NanfXibNWxjMAf15pZRnD7dfCHENcBFwlkyxvp6Usj72f7MQ4ilgMTBEGGzSQ3U1bNqkAsCzZ098dkRcHGprYfNmqJwCueNQCruitJBn7vseazbXUru3hcqyQhbOrUYIgT+FayeeRiq0CLg6gU6k4QIjG2nk093moXa7g2xtFuG+QqTZB1oQtHD/SNHlcrL4+CPSf4ExttXsGZKxFC+hEepz8c8VtRwx/QxMAzwOgdsLBcUSX66Jx4ulZZBpSKnmKdTXK8t45syJX6AK1Ops27apNk1O7/y9AyadWUnno4LNp0kpLUumCSGyAU1K2RN7fi7w43S1yWYoTqcShC1b1E07Z87Ej6wKCpRA7dypAtLl5VA+Kf1mtxCC+bOmMH/WyFJWzj71OB59YkX/5DgAoYdBD+PNjXDCKfmsWbON515YjUv3YoTd/esPSxFFc0TxZrk4ZsEitUiQQ6Kn6RcppZrpG/LrmJFsZNirymeYLpADHypNF75cU2UX5Yu0tSddhEJqUNHXqxIrqqrBnQFrHIRCsHWruodnpzH7bqxIZ/PuAdwo9xDAu1LKG4UQFcDvpJQXAGXAU7H9DuAxKeWLaWyTjQUez4A4bN2qxGGiFwzxemHuXNhVq+Y6dHerFMNMyuC49PyTeP6Vd2lr606qyeRyOfnqly7jiadf4pkX31J1mADp0cFwo+FGCBfzZs3mgnPPoKcji56ELFahmegO0B1SlWLWQNMkIBFCvY4j+/9Rnb9pgmkIkKL/uWFANKJU1eecihEsUCohoqCFQOsBLYzLY3L2soWUVijXl+7IUAd4ClpbYW+d6nyrqjNn0lg4rH5XUqrfViZYL/tCpPDwZDSLFi2SH3zwwUQ345Cjr0/dwC6XuoEPdFQTTeFaNy3uuVS3oWFKOjqgrk71ZUVFUF5h7eNOFbS12h5NMZPZ8tgU5w0bBp3dffz6D8+z/JX3CYYizJ81hW9eexH5udl89lu/sJzI5XI6+Pvv/oOyknwihkk4BOGQIBpV1xgMQzQqiEbUJKh4B2/1vQ1GALpjYEEkXVevnU6J0w1eFzzz8lv8+pHlScXsnA6dkqI8/vzr7/aXvXZZBH5dKSbOOS2OTVnOItX6FlYB5VTnSNgciagsn94eQY4PqqfuO8gM1hboWAaZ423bskWV4Zg9e/yXsx2MEGL1SOaK2cJgk0Rvr3Ipud0HbvKOlTCA6iAbG6C5RY2eJ1VAcbH1sanOkdS2MRKGwURiWU13/u5p/vDka5aF6LweF7fc8Ek+cd4JRC32p/reDFNimiDj+4USAiEGOrl4v51qXoIjduDLb33EvX94nj31LTidDpadfhzf/OLFFOQNREQzXRikVPW2mprU88mTRVJ2nZSSrbsa8AfCzJtRQZYneaiebmFIFIVZszLD2h2pMGS4p8tmvPH51ISz7duV9TBjRmaYvroOlZOhsAhqd8Oe3cp1MGnSxJf2sKKjqzdlddJIxKC7d/QrFam6SUBiVe39bN/ZS4/m7KVHYxgmLoe2X/WUJgopoa1dpX1Gwmo9hcmTIbHQ66q127n+hw/Q3NaFrmsYpuTmq8/j1usvGZdr9fuhpiazRGE02EX0bIaQm6tu5nBYZSx1DilkMnF4vcqSqZ6qVrrcUaOyl7q6JrplyRx/1KwhI9Q4TqfOkWks/TAadP3gEoWuLtiyWZVsdzjUhLXBg5dttY1cetOd7Nrbgj8YpqcviD8Q4q4/vMhP71+e9jZ2dChLIR5TyOS01FTYwmBjSU4OzJunAtM1NaquSyZ5HQsLYd58mFKlJmDtqIGtWzJHIM479Riys9xDXDoOh051ZSlHzc+AhQAOEkwT2lqVIOyoUa+rp6rkBKtU5jseeo5QZOjcEH8wzF1//AeBYHjom8aIvXthxw4VS5g3b+JjCvuLLQw2KXG71YintFTNjt6yRVkRmYIQKs4wf4ESiEgEdtaoDqSlWZnxE4Xb5eSRO29mzvRKPG4nvmwPbpeD4xbO4P9+8tWDapQ+UYRCKstow3oVXJYSqqrUgGC4habeWL0ZI8WkQl0TbN5ZP+ZtjURUbK6xUd2Ts2dPfGbfgWDHGGyGRQhVOsPnU/nhGzfC1KkjWw7RqnxG7KxDtkRSBIOFRfDRKhZcXgqlxYK2NmhtgaYGtQhQbg7kFUjy85MXJkpRlcGy7ESqbCCvxepCiW8vnFbBigf+g+21jextbmfa5FImlyfnUFqdOlVCyGgMtlSyYyVIqcpAJFo723Y18Np7G3HoGueefCRTJiVH/q3OkSoAnnJBHU2l1nZ1QUe7SlHWNCjMg+KS5EV1rK4jvsk3TDVYwzDJyfagaWKY+3N0tLcnC1dJydicdyKxs5JsRkwopMxkv1+NiiZPHrtid6mEwer2TNVRJ24OBlX1yo4OCIUkmqaC1AWFyv2QqkjFaITB+tgU5x1Bmwe2ZY4wRKMGN932ICtWrsU0Zf/7r77kFG775qf7Xx+IMEip4lhdnYKublcHyhkAACAASURBVECCwwnFRaqTtZpwOZww3P3Hl/jxb54kYJEqPGNKKWuf+qlaie4AhSEaVYLQ0aGCy9OmZUaixnDYWUk2Y07ctdTQoEzmri41QproxdSt8HigslI9urrVCLSrS/2InU7IzVcZThNdHyrT+cVDz7Ji5doh8zEef/Yt5k2v5HMXL92v80qp5s10dqi/STSqKrWWFEN+wUDAdpTVwAH48hWn86cX3mHrroZ+cdB1DY/LyQO3XT8mbryODiUKhqHusUxbmvNAsS0Gm/3C71eVUAMBVcKiqurA5jyMtcVgdbyUShza26CjS73OylIWRE6uGvVZ/R4OV4tBSsmCi75NT5/1okRVk4pZ9Zf/TnmOwRaDlGqxnJ5OQVeXEgMhIC9fxQzy88WQzjVV24azGAACwTAPPvU6Dz31Bn3+IGcumc93rr2QmVUDix7tj8UQCKjJlt3d6n6ZOnXi64uNBttisEkr8ayLxkZlQfT0qJFTUVHmjpyEUNZNfj6EIsqK6OhQ19DYqNxiPp/yZefkTnzNqImmq9c/ZFW7ROqb21PuC4TCPPS31/n9k+/Q2wtHz53LVeedQfWkUhy6mnuQn6/ce/HYz1jeN16Pi69/5hy+/plzUs58Hg3hsCrK19amBkBTpig3V6be6weKLQw2+40QaoJZQUFsHYVaJRJlZSoGMZplh0cz4zTV+g+DR+W7G1rZVtvIpOIC5s9IXtZT1yRZk6Bykhq59vSoUWBXl6CxV82yduhqVOjNUkKYnZ1sFVlaAakshhTXsmHbHl5euQ6hCZYtPYpZUyeNyjIYLVbfXCrXisuRPezKbkX5PjyxNRuEEIRCakTd0RnmypsfYNeeHkJh9YW93LaFN1dv4JHbv8D5p82xvDes22b92WNduiIVhqEGDc3NyuIpK1P3/ESvAJdubGGwOWA8HpVT3tWlfkR79iiBKClRqa7jXUmyo7uPa269l5UfqrWcI1GDaZNLeOx/vs6MKUPXT3Y4lLgVFKh+PRBQpUH8fcoPnjg3wuEEj1tds9Ol1ijweJR1MZrRYyQa5fof3M8r76wjEjURAv7ngWf4xFmL+OX3rhlSGnsicDocXLXsRB5/fmW/5SClAOnA6/TyuWXL2F0LgaAK9sdLdTy54iN27e0gZPaAKwh6CIRBSMK377ifZaf/nP2fsz0+RCLQ0qIe0ahydVVWHj5WpC0MNmNGXp569PUNuJiampQ4lJWNj0BIKbn0pjtZv20P4YhBMFYoblNNPWd/6aesf/p2sr3Dp454vbGgdCztMBpVMRW/H4IB1Qm2dyTPkxBCLTLv9ajSDJ7YOVJd8x0PPscr76xPypyJRA2Wv7qaI2ZVccOVZx3I13DASKncJ7dc+yne/6iVmtoOAgEB0onH5eLIaVWcv+QMurrUtRYXDVzzK3e8QFjbg7DoRDt7/KzfVsfC2SMrbT7eRKPq3m1pURPp8vKgouLgnai2v9jCYDPmZGerMgXB4EAGU0vLgECk0wz/YMNONu+oJxxJLnBnSok/GOav/1jFtZ84dVTn1PVY3CEneXs4oq4xGIRwCPwB6I4FtxPf63KD0w1ul8rs0h0m9/3pDfxB1cZES8MfDHPPo/8YF2GIRFTnH42qmkPhsLqmUFClJitPmYe7bvkWazbV8M7aDXg9kkvOXsjS42bg8Yh+4Uu+ButgNYCuafRZrK090Zimchc1Nir3UVGRWgfkYAosjyW2MNikDY9H5XaXlyuBaGhQP76yMiUS6RCI99fvSFm8ri8Q4o3Vm0ctDKlwOFSwOqkWjlQdbiCgOthgEEJhCPihq1N1tv5AhL7OIjDUcnVSmCAMwARh0lhvsnu3xKELNE11uvH/Ex+JIY74c9Mc9JCx0t2GEgAjql4PtnZAfYbTqdxjOTnKAvB4wOPROG7RLK5n1ogcQGedsIBHnn6TiMXKd1HDyChrIRhUxRhbW9X3kp+vLITDPY3ZFgabtOP1wvTpyhXT0KCyO5qalE+/sFB1rEn+edNUvWs0GhvORpJ7u2jC80FU+ruZGvXTG45gCoGBwBQCE5C6zqQslzqfrqctpcTpjJVDSKjjY6I6byUaTty+DvwBA6Qee2ixh06eL5+uTjUL+EAi0WqBH/VwxNZocLvVpTv+P3vnHR9ZVff/97l3enqym2yyu9neC8uy9CYdFumCoCCCAjZ8QPghivpY0EfEx4L4iIgCYgEFqUuRIh2WssuyvfdNNr1Ov/f8/jgzmZnMnZRNZpJs7vv1mlcmd+7MnGnnc8636rFxupTd3OVKN3sd6Ntz/eVn8Mhz76YJg8/j4mufPb1XU162iSfU1deroIN4tFpFxcirgpotbGGwyRk+nzIx+f2wf1eIpl0RGjaFccowJd4gpR4/eY6Q5YSfjENLmvGSkZIz50/gV+EQ3mgY0W1W9bicXDO3HNe61bEHcqjZ0eNRM6bHQ8QZ8yz3YTsjZd9nzvhIPE4o8Gl84ZIjuO/R/6Qljnk9Lm64+iiWLNbiL6nrYpqJ68kkT+CZ3prEuX0fs+WZmfIKkq7PmFjO8/fewjXfu48dextwODRMU3Lj587kW9ecm7OIomTiORTxJMdIRIlhPMR6JNc1ygZ2gptN9jAMZayORNQlGEx4cQ0D04TWDp2mdietYS/S6cLlc1BYrFE6VqegxJGYvHU9YU/phb8te4cv3/4goXAEaZjoSPI9Tr50wQn88LpzEuOJRpVhPRTqMqp3Jdo5nWr56PMlltROp/qrJSbtvtL91GAowoX/9UtWrNuBPxgCBF6PixOXzOavd3wFR6ZiTgMkF8KQ/Fzb99TR7g8yc1Ilnljz5cGqUdQb8Z1Bc7MKRTYM9dEVFKiIucLCgzcPIRND3sFNCPF94BqgPnbo21LKZy3OOxP4Nar9yH1Syp/29ti2MAwzQiEVihQMJibZUCi9vKkQaqKNX+IrdacTw1A/4pYWtbIzDHXz2LFqRddff8TKDTv55YPP8/HmPVRXlvH1z57GqUfNy3wHKSEUIuIPpgqYlSPVpbzI0p3YaeDz9bjstPqVSSl5a+Umnnl1JQ5d49yTD+Pw+VP790L7Sa6FwYpsC0O8TlZjo9J/pzMRMVdY2L/8moON4SIMHVLKn/dwjg5sAk4D9gDvA5dJKdf19Ni2MAwhkYiaueMTZ2z134XbrS6xybPretzw3oeJyTTVKq++XumNpikbcElJ9n/YaaU5TFPtKuK7jFAoIYDBbuLnciHjmXDxS3x30Y8xZHMXf7AKg2Go70xDg/rOCKG+K2PHDs8Of0PFSCmJcQSwRUq5DUAI8TBwHtCjMNjkGL9fGWdbW9WvDhKr/9LSRFqwxzMoe3NNU7uEsjL11PX1aifR1ERXldR4OYWsZ6BqWjw0J+0mKVHCEN9hdHYiOjsTLe+EQBYWJgZrG7IHlVAoOWNdabjHo6r+lpbab/dAyLYwfE0I8TngA+AmKWVzt9vHA7uT/t8DHGn1QEKIa4FrAaqrq7MwVJsUOjvV8qu1Va2UQU3+VVVqkvN6c2Kg9TmDTKqC6kqVjdzcDC3Ngub6mDZ5IT9fkpenopv6PBk4rQPU++0YdTiVR7k4KckhGlXvX3u7Eom9u2Av6v0rjlWM6zGFdpQZvvtIOJx4W9valDCAeivjCwk7qmhwGJApSQjxEjDO4qbbgHeBBtQu+kdApZTy6m73vxg4Q0r5xdj/VwBHSCmv7+l5bVNSljBNtSyvr1cr4PjyPH7JdW0LgIh1slRHh9Ksjg6B35+oaup2xeobeSUej9Ivyxr5GYQhKwQCCQeK36+OFRXZdo4MxNw9BAKpFsu41S454bCwcPQmoR0IOTElSSlP7eNg/gA8Y3HTHiA522UCMPh992wyE43GuqS0Jry+Xq+qo11aOmyrhSUSy6RKGvMrsejoEHR0QFNzYtWtCSUWRUWSwsIhSF6K19iorFTL3nhG1ZYtarlbVKRmueRSo6OMzs6EScjvT0R8CaHeuuJi9TceKDbaoolyTdaWgEKISillTezfC4A1Fqe9D8wQQkxBbbYvBT6TrTHZxIhEYjaZWAgQqAmqpESVRR1h+3EhEr7eigo1oxiGMv0HAurS3i7Ys1fAXpXcVVgW68NQkOPCaC6XMsdVViYcJ/FdWtzLXlp6UMdSSqk+k85OJeZtbYndQF6eyoqPa2mOLJY23cimbeBnQohFKFPSDuA6ACFEFSosdamUMiqE+BrwAipc9U9SyrVZHNPoprlZpRzHHcgej5qgiosPuiphup4QC4UkHI7bpwXt7Wo+BuWXSI6ijacuZBUhkkq6yoQDpblZDUzX1W1lZd1qbowsks1C8aq1nZ2JHEanU2lgPJR0KKyVNunYCW6jgeZmVYsiEFBiUFqqJp0DMM7KsJXNP8N3KNN3y/J4Px9joAjRtZPwx2zZgYAg7vjVdfB4ZFeaQvxvSukIyy5imRoI9PG9llItoZua1I7CNNWMOX78sBXveKmPcDiRLxjfrQWD6Wah/Hy6ggVGSxnr4cJICVe1ySYtLaowUVwQpk5VgmADxE0VCeExTUkgILpEIhgizV8BiWJzLpeI/ZVdtYiczkRdIofjAFw0QiSc/aapTEy1tbB+vRL0qqqcdJyXseJ78YJ7yWWruieOh8Pp+u1yqfe3qIiuIACPZ9S6UEYctjAcjLS3q8a0fn+ixGlJiW2s7QVNSzY/xXwVkQgrnnyFj559B+HOZ8E5Z1G1cD6RiCAShY5OiLSIpFVx+nusa6DHyi/FK3tkuqRWUNUQegWicgzU1SF21iN2blDmpYqKlNjc7pVWrS7xuoPJ100zVn016Xr8kgldT4igz6e+WvF8xnj1EFsARja2MBxMtLSo1WVnp/p1Tp6sVpkHoSBIKdny9gref3gZIX+QhUtP4JBzTsHhGryspo6GZu48+XJaa+oIdfgRQrD6Hw+z8OyTuOrBn6ElbQfiK+v430gkdZI1tNT/uxeMjU/Y1uhAJXjHQH0D7GkB0aF8Q/2sAJdcxjt+iQtWfEKPT/zd/8bFwJ70D35sH8NIR0plj66tVQZdl0s1QCgry8oveMh8DEnLXDMS4YHP38r6V95WtY2QuPJ8FI4bww3P/pH8suL05Xl3Mopl4vg9F1/Pmhdex4ik1nxy+bxc/PNbOe4Ll1g87MB8DN2rqCZXU+36GwiqIIKY91yUlarP3O3u2m3EX2L80sf6gzYHObaPYTTg98P27UoQvN6RazKSUnW1CQRUV5tIBKIxQ3Y4klhex/joiRdpeuk/lAaTOoF1tqLt7OSFa27hop/clPr4QiSWva5YzSaXG5yOhDG8mxfU39LG2hffTBMFgLA/wEu/ftBSGAZKfKg94vFAySQIV6oFQUMDbGkYfY2JbbKGLQwjESkTPTMdDtXkoLi49/tlyCK23DXKDD0RrHol9Odc01Q+kM4OVYQuXpDOTBqDJhJF95waePPU69TU0vffj75IXdBE0s2EEoWGd1aztLAQb74nZjRPNpxHIeiHtrBq9pOMHquJ5PWB10NHTSO6rpMuC4r2/fUQDae/FVqGWd30Wx+3imxy9TEDz+VSiYiVlWoHUV+vMsTiyYk2NgeILQwjjUAAduxQu4WyMpg4cdhmJwNqQo5nMrV3qPGbMc9mPA60qCgWD+pOtBiLYyE6+5vaCWJtJnO73HQYJt5eJ0ahnAHxEuH+WGxlSws0GhQHQlRG/XQSJYhGEEEk6TnHTh1G9bqcTlU5buxY9d3Yvl29jupqOzHA5oCwvzUjBSnVqnDfPjVx9nWXkGtMM1afIlbjoKNDjT1ejbV8bCyIPS/V9t8PX1f51Gp2fbQ+w9ObFFWM6f1BRNKuJD8fyuLHNYhEcHV0Muu801n/5It4w8pkZSAIIjC9XpZ+4/N9Hm/OcLth5szE96SjAyZNsusx2fQbWxhGApGIWgW2tysxmDRpeK0Eg0FojpXXiGdVg7Lnjx2j6k7k5yeEIJPpqY+cdfNV3H/t9wj7U01jTo+bYy4/F5dvgFXVnE4oKebs3/6QPS1+tr7xPm7TwKdJ8g2D4z/7SRZOGgur10BBPuTlQ/EwKasthHJEFxWp78yWLWpnWV1thxPZ9Bk7Kmm409EB27Ypk0x1tfqRHyiD6WOIi0FLCwRi9nOfT+0E4mmtmSYiq8fOGMFkPY7nfv4nnr3zT2i6hmmaCARzTjqSLz7wE5zuPjhfRaamyOnH967bysbX3sPpdXPI2SdRWJSnzGL+TvU3XuinoEB9PiUl6a894/MNwMfQG3FfVE1NouG27Zge1Qx5B7dsMmqEoa5OJaq5XOpH3Y+yoDIcsDioJtmaDVtZ9+Jb6E4HC88+idLxFennmhYZTlJCfZ2KpQ/ERCY/T62arVbMFs5ZABmNpB+0OgbKYWw1DqCtvpmPX36PSCjM7GMOoXJGBru/lUDp1jsuYXXcmSHT2BF7vYGAEsnmlkRj4aKiWDG8WJ+GTE5pq+OZzrUQF+Hqw+6otVUtLuImyBFWJNFm8LCFYSRjGLBzp6pxVFysEtX66WC2EgYjHOKPn/t/rHn+daQpEZpASsknrruMC39yU2oMfrIwmCY0NinbdTCouuOUlqjJz+Wynrwh68LQZ7ItDMkEknZS0ahaqY8bl7kUSS6EAZR4bd2q6lfEEx9tRh12HsNIJRRSduFgUMWkj7Pqg3RgPPX937Dm+TeIBEIpx1//wz+YsGAWR37mnNQ7mKbaHdTXQSQa6+BWCUWFvT5XOBBEhkO483Ld/GCIiTeKmDBeJaDtr1Or9bx89VkWD5Ej2OuF2bPVWLZvV0JRVTXycl5scoItDMOJYBA2bVIr4pkzlc16kDAiEV77/d+JBNL9DGF/gGfvuDchDKapJrS6/RA11EQ3qUKNJ9PuIMaeNZt55Jv/y7b3V4OEcTMncfGPrmf2CYcN2msZEQih/A2lpdDUDHX1akJ2u5VAlA5BMUOHA2bMgN27VQ5MfPdgi4NNN2xhGC6EQglRmDVr0PsVdjS2YEYzV0Zr2rlXPXdjrLxGKKiEoHJcn23SNRu38/OzriXUmTBj7Vu/jf+74la+9MCPmXvSEQN+HSMOIaCsVDVAam5R5ridO1Uy2oTxUND77mvQx1NdrUyAe/eq/ydNssXBJgU7fm04EA6n7hSy0MTWV9zzBDS2rBDWb4Bdu5QTefo0demHo/Kp2+9JCyEFiARC/OM7d/V7zNnENE3qtu+lYWeNdVTWYCOE2iXMnqWSEiNh2LRZJaSFrX0xWWXcOGVKamxUn7mNTRL2jmGoiYuCYShR6GdDYsvoI0iLKnK6HCy5+Cze/8ezREOJiUhHUunWOfWCT4AZheoJyg4eDYPVY4fSJ34ZUuGq6155N+Mk27BjH21bNlFQWgRBi8cNh9KPgcrhSHtt/cyD6Oa4X/mfFfzjV/8k0O5HAgXFBVx26+VMWzSDNcs3EPIHmb54JhWTq9QdPBk+E4vjwpOhmU5yCGpRPuRPVea6hgY1OZePVaW0NQ30DEJl4ZTO9Pn3KeS1sjIR0gpq52Bjgy0MQ0skokQhGlW23yx36LrkzlvY8/EG6rbuItThJw+Tco/O5MPmsuTGL6hmuwMwKWSsLBpDGwYJVmveXsMDP3yASCghOE21jdxz890gBA6XA2lKTMNgxpI5XPuLG3BnEoaBoOvKkV8xDvbVQO1+aGmFyZMgf/B8S71SVaXEobY2YWayGfVkTRiEEI8As2L/FgMtUspFFuftANoBA4j2JZTqoMAwYPNmJQ4zZuQkttxTkMetb/yNtc+9xpZHnsYrDeacczLV55yGGISuYAtPO4oPnn4NaaaveCunTSCvOIcTXgb+dfdjKaIQx4j5X5Krqa5/ezW3nvwVrvif61l85tEZH7O1ronlj71M/Y59VM2fwZEXn9H31+pyKTEoLcHYtp3g8g/wzJmFXlXVvxc2EMaPT5Rc0TRVd8lmVJM1YZBSfjp+XQjxv0BrD6efJKVsyNZYhiU7dqgopBkzctrsXYtGWTC1kgXfuFKZEirKrZPZDoBzbr6CNf95n2BHAJlk7nF5XHz6e18YlOfoD60NrWz4YCOaU2fOEXNxeVzU7arr12OE/CEevOUuwoEgR11wUtrtHz3/Nvf/151IaRINRXB6X+Wp//kjX/3bHcw4amGfniMcCPL4D3/Huw89QbERIk8TzLv0HE77xfdw9CWLezCYMCEhDnl5dgvYUU7WE9yEsi/sAk6WUm62uH0HsKQ/wjDiE9zq6lTI4IQJyq48APrqYwCgtQW2bVcmgymTE+GwViGoGZLTevIxANTvrOGJO+5n9UvvKXPM4XM576bPMnnB9MQdDtTHIKUqox0Jx8poW/gahEAKeOz3z/DGM2+jxWpKGYbBaZ85jRceegHT6n69kFdSwB1v/TGla1tbe5DvHnc1kWD62D0FPu5Y/Tgub2wnlsHmLzUHvzjri+xcsZZIUL3nxUQpdetULjmEy599IFEXyzIZzto8d0BlNaSEjRtVjsOcOVkJgrAZWoZTgtvxwH4rUYghgX8LISTweynlvVYnCSGuBa4FqB7JdlC/X5W5KCrqlyhkFoBMNY26CUNrq0qcc7lg6hQVTx/LNjaDfmo37UBKqJw5CU3XkcFOiwcFOtt7PDY2X+eaH30RfvRF6Eg6d39N0vnpvQmM5Ggmw1RCEY5gtnciwrHO8/HX2r2XQjc+eHsNO19ZSWU0iowIDFRl1BV/e47JFcXs2ddEGEFyt7beiAbD1L7/EVVTEyaedx99PWMtJ2mafPTYcxx+zgnqgM/atLR5xSZ2r9rQJQoALTgIhwz48GP2PfY0Veecpj4vqy53wvonbN1pr5dMaSFg6lRYv14lws2ebRfeG6UMSBiEEC8BVqm5t0kpn4xdvwz4ew8Pc6yUcp8Qohx4UQixQUr5eveTYoJxL6gdw0DGPWQYhvrBORwqsShXNDWr2HmPB6ZNTanMuuLJl3nk5ju6cg9cXg8X//jrLFl6TO7GZ5qqTLc/oFarSfkWwpTgciLdvkS7TolaPevdJi2pCgI+89ajBKOg40BHoiNxAM5wGK+/k0keQSgUJSQhjCAgdIISehIKKSWi2yRZv2u/pb8CIBIM07i3vteXvvrfbxOyCPH1o7M3DNveWUnV7Cmx0OEcmBxdLtUJcPNmFcaay++pzbBhQMIgpTy1p9uFEA7gQiBj2quUcl/sb50Q4nHgCCBNGA4Kdu1SiWyzZuWubHZDozJb5eXBpNSmPutefpcHrvteSomMUGeAh274KW7Xt1lw6lHZG5dhKDHo9McEIaQmeq9Htd10u5QgGBZrgB52DEF/kNZgFAPrekP7WyJ858df4M3n32HLys0UYzJ74TTa2jpZvXY3HVL1XOguEr4CL+Mmpe7wqmZMwOVxEQ6mm92cHjcVU8b3+jY4nA6EsC7/FNV0AhXj1I2bt6jvTT/DmQ+IwkLlf6qpUf6vMX3ob2FzUJHt2elUYIOUco/VjUKIPECTUrbHrp8O/DDLYxoaWlpU7Zyqqtw5m5ualSgUFiqfQjfz0uP/fVda3SRQCWmP//i+7AhDKAQ1+5UogBLIokIoibXW7B7yamQorpcBl9uF0ISKcbPAmeehZHIV5914mTpgmhAIINs7mf/eWpb95SVC0SidaLShYyJwup1cetOlaeG4R37yWJ66+zHr53G7WHhy7wF2iz75CV655xHCFqVKNIeDBeefCtWVsHWbSoibMzs3pbMrK1XJ9/j3xy7XParItgHxUrqZkYQQVUKIZ2P/VgBvCiFWAe8By6SUz2d5TENDbW2iTk4uCAbVDiUvT/kUuplBTNNkz5pMbh/Yv20vkdAgZuQGgrCnBnbsVjuEkiKVTDelGsaW0dAW5IFfP8ZNn/0xN152O/f85K/s3VHb76fRdY3DjpqL7kjfMTicOsecsjj1oKZBXh5iXDmzPnki1/7uFuYet5BSl2CCFmXhtAq++tPrWHjsgrTH8xXk8dW7b8KT58Xtc6PpGu48L/mlRdzw5++jO3tfd01aNJsFZxyHy5tq+3f5PBx+8ZmMmzlFCeb0aeqGHTv7X132QBBCmZGkVMESNqMKu+x2LujoUNEe1dWqL+8B0C/ns2nChvUqq3r2rMRqL6m0tZSS68uPwQhbr8g1h85dW55OicIBenU+p9DRrkSgqVmZjHRdCYLTleIfaKht4n+uv4ugP5TInBbgcjm5/juXUz01NaZ//656Xn72HbZt2ktegZfjTl7MYUfP7Uqg83cG+dXtf6a5sY1wzAfgdjsZN2Es13/nClwuJ5rXegWsxbu/hSPQ1IzZ0kZ9SydGQQEVh8xETw4fjSWihYNhVv3nQ5pqGimfOYWFJy9JF4UMzmfhzcc0DF6971FeuvtvtNY1UlJVwWk3XsnxV12YmhTY2q58ReMq1IoeMpYPR1ib0vpcpjvOtm2qRevChbYj+iDA7scwnNi4Ua3gFyzo24/LotOazBh9ZBFqumcP1NSqCJPkEtmRVLPRfV/8LiueegXZLXxT0zUWnHQY1919S/pjtzZbHLNIUTFMjG27VIczXVfjKCwATSPUkhqV9Jc/PM2qDzZaltOoqq7g89d3pcSwffNu/nn/0xhRo+t8p8vBxKkTuPDzZ3dNpNGowabVW9iwajO6pjF/8Wxmzp2KFhMkj8v6c8jPS/RYWPn+Bp7667/xhUN4MdB0neMvO53FMce8VmxhEszUh7sww/G89DLcwpvB1Oh0w85dyiQ5Y7oySWYShgw9HYS7n9n1nZ2wYcOAFjU2w4fhFK46umlpUTuGXPXcbWlRJZ7Lx/baN+GiH1zPxjc+JNDa3pXxqzsdePK9fOrWzx/4GPwB2F+vRKGoEEqKe3zta1dtyVhjqXZPPaFgGLfHhWmaPPnX54lGUsUwEo6ye9teNq3ZyuyFMwBwOHTmHjqLuYfOwpmprWYPbFiznb/f/yyRcJQWwAkUE+bVPz+LT5PMPuXIfj/moDBhPHR2gU2dzwAAIABJREFUKIGYNTOzMAwWebFWrfv3Kye0XYV1VGDvDbOJlKq0sceTm8iOcFhNGD6fcnL3Qsn4cr77xl84+QsXUDq+nJKqsZz4+XP5zov3UjahvP/PLyXUNShfAkDVOFVyuhdBtCqh0YVQ/hCAPTtqiEat+0FEwhFWvbsm7bhpmgT8wT4ltRmGyeqVm/nPC+/xj4deIBJOPFcEjXqc7I/C60+8AXv2KuHLNbqubP+RCOzanZvnrKhQQQONjbl5Ppshx94xZJO2NmVCmjo1Nyut2lo1OU+Z3OfnKywv5YLbruGC265JvaGzpwomFkgJtXXQ3gnFhTCmFNrSE9msmD67mg1rtlveVlJWhDdm9w8Fwz0W6gsmRViZhsnbL7/Ph29+RDQSRWgahyyZy8mfPA6XK70l5/6aBh747WNEIlEi4QhmBrHqRGd9Y4AIGu6a/epgQe5KmgBK+Ctjxfc6OrIf5VZSop6zrs4OXR0l2DuGbNLaqlbLmezOg4lhKCdvaUksSzbH1DdCeyfhwkI27m1h46pthDM4truz9IITcDitbeKz5k/rul45oZxohmZDuq4zacbErv+fefjfvPfaCkLBMIZhEo1E+ej9tfz1nsfSdiiGYXD/3Y/R0e4nFAxnFIU4pqahTRinci5q65TpLNeMHat2D/W9J9ENCmVlKvkwaJ1RbXNwYe8YsklLi4oB7+duwdLenqH0QldUUkOjEofSUnXMqlZSNFM9IosfeyDDar8zvVSGsbsW6ht5Z8UWHn3qPbTY6zVNk6XnH8+xJ6WGiLa0pwqGp6AIt9dDNJL+2Mvf+IjKRbMoLCsCj5vJC6axY81WjEjq6xO6RuWSeewORWmta2bz2m1dFVO7xhk1qNvfxIfrtzFn9uSu41vWbCVs1ffBAiEEcxZOI9oeQi8phNZ9sHk7jK8ElwvNmb4bAZTjGNi9YSerX1uBlJL5xy9i0tGLM56bRnd/QkmxWgxUVVrkGViv+axKZfQpUqm4WOU0tLTkLuTaZsiwhSFb+P3KDpyL3QKohi9eb9Z7OqQRCEJDI2vX7+Kfj79LpJtjeNnjr5Nf4OOQJbMzPsTu7fsss4dBmYRefuhZOts6kKakckoVE6eOp3HLLjy6wDQlnnwvSz55AsXChPY2mtdtRjcNyxy3aDjCznWpwtBU30w03HMvawDdoeHxuDnvkliVVV1TJp09+9TOYXxmv45pmPzxm3ez5o2P1HNJyYv3P8PMYw7huntu61POQxpjxyhhaGxMhK9mC5dLOaGbm21hGAXYwpAtWlrU36L0cMRBp6NDbfEnTuz93MEkGoV9taDr/Ou5FWmiACpi6Pkn3+xRGJobWzJGJUnTIFTfSB4mbiRs2oJw6Jy29BiEpuFwuygoK1IFLNrbADB27GacGcJAEEIQRCOIRjRW5kJ0i1IqKC7A4XQQsTJ9CfB6PXi9bg5ZMosTT1tCQWFS7wynA8aNhX37ob4BykstX8dLDy5j7RsfpRTLCwfDbHx7Fcvu+jvn3nRFxvcnIy6X+n7VNyS6v2WTkhIVCh0KDY250iZn2MKQLVpblVMwFzWRGpuUvbk0xzX0a+vANDHGlFFf35LxtIb6FgzDRO9e9C5GcWmRpVPZgaScCA4kEkEYQQcaoSi8uWIbp3zpUwAkG6Baahr4aHs9Thx4YmLiQwlWCI0mp4cpySXAgenzpvLKE69ajs3hcHDLD66isKgHB6/XC2Ul6nNoaVPO9268/NBzlruiSDDMaw8+zTnfuLzXDniWjClT37WW1ux//nFhaGkZcLl4m+GN7XzOFqFQVsw6kWCIYEc3+7/fr7b5ucxMNYxYaYtiNJ8XvXuGdBIOh46mZZ70qqeMx+NLtXMLJGOJIIB6nOzGyX6cNOPAj059TWPK6jvOpuVriKCihxpxsg8X+3DRjAM3JpPHFDBucqrZxelycu7nzsbpcuKImXQcDh2HU+f8y07vWRTiFBepFXx7eha4lJL2praMdw35g4Qtalb1ibgPK5NPaDBxucDpVE5om4Mae8eQDUxTTZyZHJEHwP7NO/jHN37ChleXAzBmygQ+9dP/x4IzjlO+jFyHTMaLvuV5Ef4wi4+dz4dvrsboli+g6xqLDp+dshpubW7jw3dWU1/TQGl5CYcdtYDzrj6Xx37/L6KRKJFwmApd4jAkdTgJWa5fJIZh0P0dbmtoSYs6iiJoR0fXBCfOm4TT36km1CQmTpvA1d/8HNtWbqSutpGSMUUcevg8CrqJgmlKhMjQ39rrUVViTTNFpIUQ5JcU0NFsXTrE5fUkGvocCG43DGZdq55wOlObJ9kclNjCkA3iP5xBEobGnXu54/hLCbZ1dtni6zbv5A+X38yV93yfw6aOU/WHkjBNg9fve5R///ohWmvrKRhbyinXfopTrr0ovf6RYRXBlOHHH/cjtLarhjq6Axn2c96lJ7N5zXY62v1diWFOp4O8fC+nn3M84YgSjA1rtvH3Pz2DNNXErm3axQdvrWLm4tmc86WLqNtdS3D7bspcGht2NxDaZR2OKU3Jv//wOIdfegb5YxMmFO+YYthVa1lorl13IceUEWlqRrjcyO6RPF4Pi09IjRIKmZJwxGTtqs38+6k3qattwul0cMjhs7noqjPJL0zaFTqdauXe3gG+1PLYJ3/2dJ6/7+k0c5LT4+LEK5YipJnowyMztVq1ilaT6nmDwdTXnCnidqDpNC6X2g3bHNTYpqRsEM/OHST/wnM/vYdQZyDNQRsJBHnilp+pzOBuk9xfrr+dx//7bpr37sc0TFprG3j6zvu570s/GpQxEQiqFXJs5VxQmMetP72Osy/+BBOnjGPilEpO/eQxXP+tz5FXoCbPYCDEw/c/QzQSxYiJkWmamIbJhvfX8c9f/Y3mzTtZcthMJh29iIXnnNRjtE5nYytv3f8U0aRmOVOOXNBVDykFIfAVF+CeORVT13E3NWXufteN9978mEfuf5a62iYAIpEoK5av485v/4GAP2mSjLfCtMhrOO1zS5l7zAJcnlhZcCFweVzMOHI+Z3/90j6NIyNuV+5W8faOYVRg7xiywQHuGCKhEB8+8gxv/+kRoqEwh15wOsd8/iI+fuY/mBkSuyJt7bTs3U/pnETUT82GbXzwrxfTei1EAiHWvvweOz/ayKRFs/r3mpKJRlX5jYLUCByvz83JS4/i5KWqj0N7U6rde81Hm3p8WIcRpXX1Bta6dKadcxJlJYLjrzyH9x9/hc5G60xsMxJlzXNv0bx7P/7mNpxeN2OnT6R+iyoXYUYNHC4nTo+L4y8/CxwOAiWlFDc34mpuJlxW1stLjfLs46+lRVyZhkl7aydvv7KCUz55tDqoxXpKWNjgdYfOtT+/nl3rd7Dq1RVIU7LwxEOZdMziA3M6J+Nyq11fNJr9YAenUz2PlHbdpIMYWxiyQdw004NDtjthf4Cfn3AJtRu2Eo71RN69agMv/uJPPdbfF/GWk0kTwsfLXsW0CB0FJT4rn32938IQ9AdZvuxtPnz2HdyYHL9oEnPOOSHNxt8Trc0dKfWHupOPiRk1WL5yC1POPhFN1ymbWMGUxbNZ8+Jyy/sYkSh7Vm3sMp2EOwPUb9lNYWUZ4+dNJ+wPMrZqLJWzJnXtJEyXC8PnQ/f7EZEIsgcBr9m1P+NtkXCUD95YnRAGUKv3HmooVc+ZTPWcyYkDgzG5xj/7SCT7whB//Gh0UH1oNsMLWxiyQVwQrGz3GXjhjt+xb+0mosHEKj8SCBINhykZX4HudHRVQE3GN6aU4qpy9UONmZNMw8DMlBcgScsI7o32pjbuuPJ2Olo6CAfDaEiCm7bz8qtr+PJvbuzTlygUDLPCoshdMh1o5GNSbIYJtPvJKy7ANEy2Ll/b84N3e6lm1KB9fxN5JxQx5agFeLtFRGnhMLrfj+HxpohCS0MLHyxfQ8P+RsrKS1l8zCEZ8yu6nrr77aGwEodcEjdd5mKiHmQzqc3wxPYxZIPkVVUfeePev6eIQhxpmLTU1OMpzE9zGju9Hi76+TeVKSIpOWve6cfhzDA5uX0eFp55nDJ79HTRHV2Xf/ziYVrrW7scpyYCfzhKe20jy/72MsKpW16cTq3r8tKyN2lvSy95kUwEjSZ0XKZJmYzg0zVatuwi5O9/KKYRjrJ/9RbydY2C5IuAsvZWXA4drbQEjybwaIIdqzbx2G8eYeU7H7Nzyx4+enc1D/z677Q3tmYUB4fLwWHHL0A4Heqia+ozj+evJF903fqiWVxEhktXL+qkixAqUEDTlDCI2DGLUwfseAa1K9F124x0kGMLQzaIr9z64aQLtmU2PzgcDr72+O9YcslZOD1uhK4x9chDuP6p3zP3zBPVSeFEtEv1ojnMPO4wnJ7UEEinx0X1ITOZfmR6m8pMRCNRVr2yostZHCeEhiMa4e3nrE08yUgp+eDttWmhrFYENCfF0ybiCwbRQkF2rt2GGe2bk7g7VqW2XW1taJEIkZLSrp2dvyPAS4+9QjQS7SqgZ5qSaCTK80+8yslnHYnTlbpC1jRBXr6X4844PHEwFFJbsqQ2nVLKXncd3andvJO/3nQnPz7lan53xa2sf62XplShcO56MtsmpFHBgPeDQoiLge8Dc4AjpJQfJN32LeALqNbsX5dSvmBx/ynAw0ApsAK4QkqZo6DsLHEAO4bxC2ez/d2VlrfpbhcTD53DVX/6KVf96aepNxpRtXqLpL5l1/3lTp7+8T289sdHMcIRNIeD4y4/m/Nvu6Zfzs5wMGQ5sYUQ5CMxO3tPdjJNs0+VVp0uBx6flyWXnIH0d+BsasIhDqzDoMPlZOK8qSnHtGAQR2cH0bx8dE9i8t60qmenuMvl5OIrzuD5J96kpbkNIQQLDpvJxdeegy8vKSw17uz3eti5YRf/uudJtqzaqgrvHT2fC2/6DJXTxvf4XB+/tJw/ff1OopEIZtRgz+rNbHjjQ4674lwu/plFRz1Qi4JcCUMkYgvDKGAwDIVrgAuB3ycfFELMBS4F5gFVwEtCiJlSpgVp3wH8Ukr5sBDiHpSQ/G4QxjV0xLfa/dgxnPODG/ndBdcS8adWv3T5vJxxyzXoPdl0nc4UUxKoifGCH1zPed/7CoG2DjwFeehG/+PPvfk+fIV5aZm78aSzCeOtawMlo+s6RcX5tLZY74p0h86EqeOZvmA6Mw+ZgdPlJOxx466rY96kcvas3YY/0ne/iKZr+IryGT9nijpgmuihEK7WFqTDQbiwkOS9VGe7P6PfJRo1aGvt5IRTl7D4yLmEQxEcTh1N0/CUduvjHAxCvo8dm/bwqxvv7jK9SSlZ+/bHbFm5iVv+8v2M4hAOhrj/hjsJB1K/A2F/kDf//BRLLlnKlCXzLe4YTsubyBqRiMqytzmoGbApSUq5Xkq50eKm84CHpZQhKeV2YAtwRPIJQi1dTwYejR16EDh/oGMaFng8qlRFH5l7+glc+psf4M734SnMx1OYj9Pj5sQvf4bTv/GFnu/s80FHu2X0kqbr5JUU9SwsPSCE4KwvnovLk7oijSKQTjdnn31EnwTwlKVH47RokON0Ojj93BM47+pzmXf43K5zpNNJuKSEcVVjmDk2jwlalDFEKMDAjYmwyODSHDqaQ6d6/jTO+NxZeP0d+Orr8NXU4G5S3cdCJekd5cqrxuJ0W6+CXW4n4yeWp/yvWZUeae9QYaoF+fzjrsfS6yJJCAWCPPHrRzK+R+te+5BMjoBIKMSbDzyefkNnpwpy8OVgso5ElLnM04cy3TYjmmyGFowH3k36f0/sWDJlQIuUMtrDOQAIIa4FrgWorq4e3JFmg6Ii1SfXMPoctnrs1Z/m8MvOY/PLbxANR5h2zKHklcbKdvdkUSkrVYXNWlpVjf5B5sRPn0JbYysvPfQ8DocGCAzD4KirzmD24qkY++tVG88eajUdefxCmhpbefPlD7vCRg3DZMlxh3DoUfPpsGiOY/p8BCpdHHr5eWx+/QN2LF+NL/ZVkdBVLVXXdaYcOotJC2fgcDlxCKCzHYTAdDqJ5OdjuN2Ybrel03Tq3Cm4nnaq6qrJwxBKuEKhCP9++i3KxhazcPHMdIELhVWjIq+XcJ6PXRsztNyUsO6tjzO+R50tHcgMSXfSlLTXN6Xf0NCg3vdcFFCMVwzOVSl5myGjT8IghHgJsCrCfpuU8slMd7M41v3X35dz1EEp7wXuBViyZMmBGZ5zSVGRarXZ1qaqUvYRl9fDvDOOTzsuMzW0FxoUFaskp6Zm1agHrCdpRwY7tMvCDOFNmJ0EcO7NV3DqNRew+fX30TSNGYtnqsJ3HZ3oGzZDKAjjUvtEe7vtYC66+kxO/9TxrHl3AwAz50wmP5YV7fZb7zryNA08LsZdeBqHnX4sD/3mEaIdHWgRVXXV6XRSOLaYo084DN3lAAFS0zHdsZIXmobTQgy8rmSxdnLNf32aP9/zLzra/V2v2e1xEwiEePqfrxAKRnB7XDzx8Mt85btXMHnGBLTCvFjnvCYo9EH1hL6ZWTxJZTSSmuRMWjwvo/67vB5mHr8k9XONRqG5VVVY7d7EJ8POY0DBRC0tqi6TN0dmK5sho0/CIKU89QAeew+Q3CBgArCv2zkNQLEQwhHbNVidMzLJy1M7hdbWfgnDAVNWBrU1Wa2V7yvK55ATFqUezM+D0mJoalEmBouS08kUFOax+Ii5B/b8+T6uvvkK1qzcyMbVW9B1nXmHzWL6nKlIXSM6gEmvbGwxN3znKupq6misa6GgKI8HfvdESo+GUMw89H8/eojb/3CzEr6aOmViGV8JDgcuj5sJMyeya8PO9CcRgtnHLMw4hgnzplG9YAY7P9pItJvPSHc5OPqK81Lv0NSkzIe56MNsGKpyrF1ue1SQzXDVp4BLhRDuWOTRDOC95BOkCnf5D/Cp2KErgUw7kJGFEKqCZ6t1KYdBpyy2U2iyMDdkm9IS5fysb4DO7JZ/djodLDh8Lp+6+lwuuPJsZs6fbl0b6QAQQjBl+gSWHDOfpsbWjOY705R89O46qGtQfqTyMSnO34tvvjTNJwPg9ro576bLexzDVx68nRnHHorT48JbmIc7z8uYyeO5adk95JV0E92GRpUzkYsVfGurEiHbjDQqGIxw1QuA3wBjgWVCiI+klGdIKdcKIf4BrAOiwFfjEUlCiGeBL0op9wHfBB4WQtwOrAT+ONAxDRuKi1UrxPZ2KCjo/fyB4HIpIapvUI3i+7B6bqtvYsUTr9BZ38CkQ2Yx58TDrB2rvSEEjKuAvftUR7cxpVnxdeSSupqmjCG24WCIjk07YE6lEsWi1Al72iEzuP7ub/DYrx5h57odCATTlszhU9++iglJLUWt8Bbm8/XH7qJh5z5qNmyjsLyM6kWz00OMG5vU7nD8hAG8yn7Q2Kii3+yIpFHBgIVBSvk4YBEuAVLKHwM/tji+NOn6NrpFKx00FBerCXvvXpidubXloFFVBRs3wY6dMKVnB/0bDz7BP7/1KxCCSCiE2+elqLyUG//5c4oqei4sZ4muKXNKbT00NBFtaWPtpn20doQYX13OpOnjB14sLoeEMvSgdmNS6YKxhR4lgBmcvtMOmc4t999GNBJFCNBLx/br+cdMqmLMpAw9pEMh9Z3Ky8uNmbK9XfnKJuRIhGyGHLvgSTbRNDVZ79ihdg59/RE7LcIBwxkSyZJX+Hl5MHEC7N4DDU1QkeoMjoez7ly5nn/edheRpOYuoc4ADbtrufe627nl+d8jM9lRrCZ3R1KUTnk5W177kCdv+S2YBk2mTqfmYOz4MXztZ1+mqKwQX356aQy333oiNi0maNnPTGjhTI8K02OmHsMw6Gzz4/F5VChqnpv9e+pZ8d76lPM1JEUYFGAgNTdzLv8kTLQIoMtP3Rl2/cB81jtG4bHo8ufIkECm6eoz3LVHBR1MnaqOWT5whp2f1XerN2pr1W5hbP/EzWbkYgtDtiktVWGre/eqHUS2V81jx6oV3r59yjFssfV/+bd/JWrRbMWMGuxZt4XaLbuomHAAuwagpb6Zu79zH0bAoIwoBYRxodG8Pcxvv3kP374vQ/ZujjENk+f++Sr/WfYuRtRAIll05Fwu/foFvPrU210lQASSQgwKY7kT7eic/fXLcHe39+eK2lrl15g8OTfZzsGg2i1UVeW2dazNkGILQ7YRQv2otm5V4X652PpXV0NHhzIpzZ6VlkdRs2FbWvvLOLrTQf223QcsDG/+6zVMw8BAUIeTPAyKMBhjhpC79rJ7xQYmzprY+wNlmb/+7klWvrOWcFKTn5XvrmP3jlp8BV6kocSgEAMNiR+NFpzoXg9u3xAleHV0QO1+Zb7KlQ+nrk59h+3dwqjCFoZcUFysQkj378+NMDgcMHkSbN4Cu3er1WUS5dOq2btms2UNJDNiUFZdecBPvX3NNqJJPRc60elEIw+TMUiaV21goleoPI/8POWbyCJbN+3m6UdfZefWfei6xsIlszj+1CV8+NYaot3KmBtRg876ZsblORgvomjSJIBGCw4isQA+HSgpz8Fn2J1oVAm9y5U7W79hKKdzaaldZnuUYX/auWLcONi5E+rrc7P6ys9Xz1lbC9oumJhYpZ/8lctY88KbaTV5hKZRPm0iVbOnIoM9l8jORFllGZqmqXajiUemE52o7sI1eaIKA61rUBFUXi/k+0A4WLd6Oy8+8SZ1+xopHlPIqecey8JF0w/Yab1hzXb++JvHupoDRU2DlcvXs2bF5hSLnhMTX+ziDIUoNEuodzioi0jCyRHdAvKL85kyb/IBjeeAiUZhy1aVLzFzRr8aQA2InTuVT8POXRh12MKQK8aMUQ7oPXtU6Go/680Iq+xkQGZySgOMH6+ckLW1gFCOaSGYduwSzr7tyzx9+2+RhsSIRHDn+/AW5vOlh38Jbi8i0+Rj4RiV7sTYjv/CRSx/9h1Lp7HD7WbGp85S/QP8flVfqL0DwhGW/+tlXn3qHdrDUSJo7G1p5y//9yRHLT2KS7/x6dQH6kOvZikl//z2H9I6xknThFAYny7QieLGxBlztAfRaEdn3LRpHL70ZJ7+7aMQK64nhMDt8/CVP3wHURGLFrJwHFs6kwHcGXINdAtHc/J7H4nA1u0QicKMmVDQzbeRwe4vXAM0d9XXq+/r+PF2pvMoxBaGXDJ5MqxbB9u2qfDVXDjzqirV8+zbpyaZKZNB0zj9xs+z+IJTee/hZXTUNzH1yENYdM5JOCwK3fWHiXOnsvT6S3n2Nw8TDUeRponT7UTTdb70f7egO3QlDD6fulSU07K7lmVPvoMrEqEIE1WlHcxghC1Pv0bNsXOpnDkxqbmNSFyPEzeLSQlS0rSnjnBjM/kY6Eh0wInEhalSPAwwEEQQtKPjR8NE4Pa5WXL2sbz052fVzic2FiklRjTKpuVrqJyeIx9JOKzMgZEITJ+m8lRygd+vTJBFRWrXaTPqsIUhlzidShy2bFFRShNzNMGMq1C2/F27YOs2mDoFdJ0xkyew9NbrVE+HQeSMr1zCvJMO582HnqG5toHJC2dw3MWnUFBWZHn+R2+tpkNzEkFFATljFxcSdzTK+heXM9bnZP37G9j80WacTp15R89j8pxJGRPytLpmymWECOq1JYtAGIF0uTE0LaUKqtPtZNL8aRhRg51rtqWVpYiEIvzrzoc44rwT8eZn2BkMFp2dsG272h3NmJ67xDLDUAuX+HfVZlRiC0OuKSqC8nIV7VFYqP7PBXG/xq5dKglu2tSs1VQCmDBnCpd+r5dy4TFCgVCXI1giCCMIA53qALuFix/+8K8EmtuJBlUniOWrtjNt7hQ+963PJkqKx/0GmkZxZQVthcU0NbZhpNyo+jUcdeZRzDlyLs/e9zT1e+vJK8zjE5eczClXn8ufvvlbQgHr3hW6rrP+zVUsPvPo/r8pfaWpWdn3XS4lCrksc71jh9qpzJplO5xHMfYnPxRMmKByDXbsUD/AXP3wy0rB5YTtO2DDRhXWOsSlK6SUbPpgfcbwWbfPTe2OWprrWzCiJvHyXoGgScfa3bz+xlpO+tQn0u4ngPNvuIQHbv8zRlJIqhACt8fNWVefTVnVGA477fDUOzod6b0Uuo030odudAeElMrk19ikdghTp+R2cq6tVSHVE/pYJdbmoMXOWBkKhIBp09T1zZtT+jVnnYICmDVTidGOHWplavS9O9pgs+bNVWxZYdXnSZFfnM/eLXtjopBKOBTmP4++lvG+h564iC/+8GoqJlWg6RqarjH78Nnc8odbKKvKXJF00cmH4fJa76aMqMHMI+b18IoOkGAQNm2CunpVRnvG9NyKQjwJs7TUjkKysXcMQ4bbDTNmqMlg0ya1cziAXrr9ilaKx2j6HDBnDtTUqlVipx8mVasQ1ziZSi1YRNGITBE3GcpAyGhixf3Gk78lkmGFLnSN077yaR7/yZ/Scg7idLR1woRJ1s8PLLh4EgsuOYdgZwDd4Uh0assYdeXi8Csv4rk/PkM03ISZJJour5vDzj+F0rmxsuFOi8zjtL4IMTK9nwjYX6cmZk1T34nSDMmFFmUuBhx9BCoCac8elWNj+xVssHcMQ4vPpyaCaFSJQz96RA8YIVTE0swZyoSxabNyOgZ6CH/NAu2NLRlvc/s8+IrzLRPx4lRM61uylyfPm7F9Z/rzerll2W+Z84klOFxOXD4P7jwvJ117MZf/YhBLejQ2wdp1UFOjKrTOmZ37stYNDcrvVFwMU6Zkv2SLzYjA3jEMNXl5MH26Milt3gwzZ+bWhJCfD3PnqFVrXR20bFC+iPLyrDqn48w8+hD2rNuKEU7fEUTDEaYumsXxnzmL1//6HJFgqkPY5XWz9GuXZmVcRRVlfPWhn+Bv7SDQEaRo3Bic7kGqTdTerkqUBwKq6N6Uyam7tVzR2KhMiUVFqiCfLQo2Mewdw3AgP1+JQzCoxCHXNn9Ng8pxMG+usi83t8D6DSqWPcu7mBOvOh+HhQnN6XYx/6TDKR2EyZycAAARsUlEQVRfzvnfvJKFpx6Bw+3E5XXj9nlwuJ2cfcNnWHDK4RaPOnj4ivIZM6lqcEShs1OFC2/ZqnaJkyYpf89QiEJTk/IxFRbaomCThuhpmz5cWbJkifzggw+GehiDT2urKrbndiuhGMCK3dLHIDNkDJvdhCgSSUTHgNpBVFSo8EmrnAcjg3hErH0HyT4GgO0fruMP1/6AQLsfoQmi4QjzTz6Cz//qZlyuxO6pfmcNm975GIfLyfyTlpBX3MfmR91s89FwhFcfWsarDzxNZ3MbVbMmsfSGzzLvE0ss+2KLTL2y++pj6OyE/fVqp+DQ1W5s7FglyFa+h36U0j4gH0NNjfp8CwrU98yumjpqEEJ8KKVc0ut5tjAMM9rblTiAsvkOZp5DJGh52PI7IE3VEKZ2f6JdaGkplI9NF6yMgpPhuMX5phFlxwdr6GxqZcKCmZSMr4gPzmrA1o+biaTVsGkY3HXh19n23moiSbWiXF4PF/7o65x47act7p9h4rSaUJPP7ehQzv22diWq5eXq/Uu+n+Vkn6USFKapTEdNTeqznDTJFoVRhi0MI5lQSDmC/X5VkqCqanC2+v0VhjjhsPJBNDYqE0hpiZpYCgrUuAZBGDI+xiALw6plr3H/td8j1Jm+o3J63fxsy4t4CrrF8FtM3kY0SjgQwl2Ql5p9HTWUKa65We0UHA6126oo711I4oeyIQyRiFpwdHaq+kd2qYtRSV+FYUBeTiHExcD3gTnAEVLKD2LHTwN+CriAMPD/pJSvWNz/+8A1QH3s0LellM8OZEwHBW63Cl/ds0etODs6lB34AMJZBwWXSxXgG1ehQlwbG1V2rq5DcZGKqCksHBF26nf/vsxSFEBlNa97+R0Wn39qxvsH2jr4122/ZPnDyzANA09BHqffcCWnXnEuWmsrdMSq0vp8KlFsTFnMZDSEK3O/X5VhMQyVP5PryCebEcdAw1/WABcCv+92vAE4R0q5TwgxH3gBsOiDCMAvpZQ/H+A4Dj40TWUm5+er7f+6dUocCvpoV88GTidMGA/jq1RXr5YWaGlVQqFpShzy81WfhWFakTMctC51AaoaeKacCgAjEuF/T7+auk070CMhfJh4mgKs+sldmB+u5MzbvqJW4qUluS1j0RONjSoc1eFQhRuH6ediM7wYkDBIKdcDafXypZQrk/5dC3iEEG4pZeZfpY01paVq9bl1q8p1qKgY+jaLItZop6gIqiW0tiiRaGtXf0GNLz9fnVNYMGzq7hyy9AS2vL2SsD/drGZEosw8/jDrOwYCrHn4abRt2xgX8SNQQhJGoykY5cXn3uHIO79LSdWBNzkaVCIRtaBobVWLiSlThm7HaTPiyMWv9SJgZQ+i8DUhxOeAD4CbpJTNORjTyMLjUZnKe/aoDNnWVvVD92W5wmdfSBYJUP6Rjk7o7FC7ibhQeD2Ql6/EIs87ZJPUkZ9eyvP/+wDRcAQzmpzV7OGwi05LOL1DIRUI0N6hMsOjUbY//jzRQIAAOkE0QghkrDify+lk3UtvceznPzUULyuVlhYlCqapKviWlw/1iGxGGL0KgxDiJcDKU3WblPLJXu47D7gDOD3DKb8DfoRafP0I+F/g6gyPdS1wLUB1dXVvwz74iJuWiotV/PmGDVBZqUwXfbXtO63NG/3xDMiwlQM7yRnscEFezNxlGsq+3dauhKKtXYmFlMqP4vWAxwset/rf48n6Tsjt8vLN1//OQ1/9bza+8i4OhwMnkk9cdQFnfu2zsH0XBEPKyQ5KwErHQEE+zaXl1GAduioQaE63deMd0sNKpZQH3JkuI4ahck8aG9WiYcqU4WPSshlRDEpUkhDiVeDmuPM5dmwC8ApwlZTyrT48xmTgGSnl/N7OPeijknrDMJTduKlJTQCTJ+fMdtyrMKQc7hZpJGWic1tnh5qAQ6Gu5jqAmoidTnA61F9H7H895sDV9YQz10pE4o9lmup9MozYdVOZV6IRFWUVNQg2NhNobaNgbKlKstN19T66PeDzJjrtxSbwVc+8wv1X3kKo05/2tA63ix9vfpnCCuu2rcLlIRIM8swP7uL1e/5CoKWNkomVnPXtr3H8dZ8ZmEhIqcSgpka9xnHj1KJhBAQD2OSWnEQl9fDkxcAy4Fs9iYIQolJKWRP79wKUM9umN3RdrQaLi5VArFunCqCNGzc8zEuZEEKVAPH5gJh5Q0olDn6/EopwSE1u4Qj4A4ObeS1EQni8HjyTq/G4XGrH4vWq6Kse9k8LzjqR8Qtmsvuj9SnlOVw+Lyd97XIKKzJXbDUNg1+dejm7Plzddd/m3TU8etPt7N+0jYt/8d3+vx7TVLWO9u9XYufzqQAFu2S2zQAZ0I5BCHEB8BtgLNACfCSlPEMI8R3gW8DmpNNPl1LWCSHuA+6RUn4ghHgIWIRacu4ArksSioyM+h1DMtGoqnFUV6dWx4WFSiCyFL00oB1D1/F+5CZIqV5j18o/9jd+SSa+QhYisbPoageqpTrAM66mLY4nnRsJhnj2f+7h9XsfJtDaRtmk8Sz99lc46orzY6t+68dd8+Lb3Hfp1wh1WOw2PG5u3/o6xVV9LHdtmurz3r9fvTf5+WqHkKvWnzYjFjvBbbRhGKp8cl2dWmUXFak4+kG2MedcGLLFAQpD78etz33gi99i+UOPW97m8nm5+Fff4/hrLsswphhSqh1C3GRUWKgEYShqLdmMSIbUlGQzBOi62inE24bW1sLatcrEVFk5aD6IQan/b0WGrGwrBpD43DsZHPQDpdcFWG+3NzWp+kahkBKCadNsk5FN1rCF4WBD05RAjBmTMDE1Nyt/RGXl8PZBHMQsvugsVj3xIqF4ZnQSpmky78wTre/Y2qo6qwUCStynT89dn3CbUYstDAcrDodKhIvvIOrqVHx7UZFKmisqytzFzGbQWfDJU6iYNZV9azYRDaU6ro+84gJKq5MKAwSDSsybmtR1t1sFG5SWDsHIbUYjtjAc7MQFoqJCiUN9vVqFCqEc1CUlSiTsrNisojscfOPVh3ni1jt4+/5/Eg2H8RUXccY3v8Qp3/iiMhE1NSlBiHfRKyhQn1tZmR16apNTbOfzaENKVWGzJVbGIr56zctTIlFWNjTlKw5yH0MypmkSCQRxaQLR2Jj6OeTnq8+hpMQWa5tBx3Y+21gjRKzQXb6KWgoEEiKxZ4+yZ5eWqkYytnNz8JESra0Nd329KkQohIouKi9XfiDXILUPtbEZALYwjHa8XnWprFQiUV+vsmgbG9Xx0lI1cWXbad2PlfqIM6qYphKB1lZ1iUSUAFRVqSABe2dgM8ywhcEmgder6jGNH69s3fX1agexd6+avAoLY9VSC23HdW/Ei/C1tKi/pqnes8LChPPf9hvYDFNsYbBJR9fVSnbMGLW6ja92W1rUTgJU4pzPp8TE51OXYVJaO+eEw6qkR2dn4q8Rq9zqcqn3sago0fHOxmaYM0p/yTZ9xulUDumysoTjur1dTYAdHYl+0PFz3bFKqS5X6vWRbDs3TTX5h8NqJ9D9Ei/NIYQSypIS5Z/JG74Ni2xsesIWBpu+k+y4jhONKt+E369i7uMmlHC3TmjxyqXxIno+nxKN4baCjkbVawgElAh2dqrXlRwKJUSiTHhhoboe3z0NZQMlG5tBwhYGm4HhcCgTSfeifVImVtjhcGKira9PLX6XvLOI7y6cTvW48ctgiYeUyjQWiSgBiF8PhRKiFu/DAErM8vJUtJDHk9j5jOTdj41NH7CFwSY7xFfVbnfqcSnVJBwIJCbjUEj5L5In5WSSK6QmXzIJRnI/hngV1vh1K+LiVFKS2Al4POljt7EZJdjCYJNb4nZ4K9u7YcSa6ERTL5FIaqnt+ESfKdNNCCUcbndCROLiEu/H4HAk/trmHxubFGxhsBk+xP0QNjY2Q4q9VLKxsbGxScEWBhsbGxubFGxhsLGxsbFJwRYGGxsbG5sUBiQMQoiLhRBrhRCmEGJJ0vHJQoiAEOKj2OWeDPcvFUK8KITYHPtbMpDx2NjY2NgMnIHuGNYAFwKvW9y2VUq5KHb5Uob73wq8LKWcAbwc+9/GxsbGZggZkDBIKddLKTcO4CHOAx6MXX8QOH8g47GxsbGxGTjZzGOYIoRYCbQB35FSvmFxToWUsgZASlkjhCjP9GBCiGuBa2P/hoQQawZ9xIPPGKBhqAfRB+xxDh4jYYxgj3OwGSnjnNWXk3oVBiHES8A4i5tuk1I+meFuNUC1lLJRCHEY8IQQYp6Usq0vg7JCSnkvcG9sTB/0pT3dUGOPc3AZCeMcCWMEe5yDzUgaZ1/O61UYpJSn9vfJpZQhIBS7/qEQYiswE+g+qP1CiMrYbqESqOvvc9nY2NjYDC5ZCVcVQowVQuix61OBGcA2i1OfAq6MXb8SyLQDsbGxsbHJEQMNV71ACLEHOBpYJoR4IXbTCcDHQohVwKPAl6SUTbH73JcU2vpT4DQhxGbgtNj/feHegYw7h9jjHFxGwjhHwhjBHudgc1CNU8hMFSptbGxsbEYlduazjY2NjU0KtjDY2NjY2KQwYoVBCLFICPFurOTGB0KII4Z6TJkQQlwvhNgYKx/ys6EeTyaEEDcLIaQQYsxQj8UKIcSdQogNQoiPhRCPCyGKh3pMyQghzox9zluEEMMyi18IMVEI8R8hxPrY9/G/hnpMmRBC6EKIlUKIZ4Z6LJkQQhQLIR6NfS/XCyGOHuoxWSGEuDH2ea8RQvxdCOHp6fwRKwzAz4AfSCkXAd+L/T/sEEKchMrwXiilnAf8fIiHZIkQYiIqAGDXUI+lB14E5kspFwKbgG8N8Xi6iEXh/RY4C5gLXCaEmDu0o7IkCtwkpZwDHAV8dZiOE+C/gPVDPYhe+DXwvJRyNnAIw3C8QojxwNeBJVLK+YAOXNrTfUayMEigMHa9CNg3hGPpiS8DP43ldiClHK65Gr8EbkG9r8MSKeW/pZTxxtDvAhOGcjzdOALYIqXcJqUMAw+jFgTDCilljZRyRex6O2oiGz+0o0pHCDEBOBu4b6jHkgkhRCEqAvOPAFLKsJSyZWhHlREH4BVCOAAfvcyXI1kYbgDuFELsRq3Ch83qsRszgeOFEMuFEK8JIQ4f6gF1RwhxLrBXSrlqqMfSD64GnhvqQSQxHtid9P8ehuGEm4wQYjJwKLB8aEdiya9QCxVzqAfSA1OBeuD+mMnrPiFE3lAPqjtSyr2oOXIXqipFq5Ty3z3dZ1j3fO6pHAdwCnCjlPIxIf5/e/fvGkUURXH8eyBGERFsrCIkgnY2AUVMoRgRkRA7sYgECwvBgJ0Y8V8QArZuIUljYhALQQRrf0BUgloIChpETGMlIuKxeBN0kt0dRbNvFu6n2h1YOLBvufPuzN7RSVLV/ut/af8PFTl7gG2kbfte4Kakne7wfcIVGSeBo53M08qfjGCRdJnUEpnpZLYKanKstrsvSVuAW8CFfxlVsx4kjQCfiqkJh3LnaaMHGAQmbD+SNEWaEH0lb6yy4nEGJ4AB4DMwK2nM9nSrz9S6MLQbxyHpBqkHCTBLxi1nRc5zwHxRCB5L+kEauLXcqXzQOqOkPaQF81wSpPbMgqR9tj92MCJQPYJF0jgwAgx3urhWWAJ2/Pa+j5q2NyVtIBWFGdvzufM0MQSMSjoObAK2Spq2PZY512pLwJLtlR3XHPV8dMAR4K3tZQBJ88ABoGVh6OZW0gfgYPH6MPA6Y5Z2bpPyIWk30EuNpjDaXrS93Xa/7X7SYh/MURSqSDoGXARGbX/JnWeVJ8AuSQOSekkX9+5kzrSGUvW/DryyfTV3nmZsX7LdV6zHU8CDGhYFit/Ie0krE0uHgZcZI7XyDtgvaXPx/Q9TcZG81juGCmeBqeJiyld+jeSumwbQKMaEfwPGa3am202uARuB+8Xu5mGbh0B1lO3vks4D90h3fTRsv8gcq5kh4DSwKOlZcWzS9t2MmbrZBDBTnAy8Ac5kzrNG0eaaAxZILdinVIzGiJEYIYQQSrq5lRRCCGEdRGEIIYRQEoUhhBBCSRSGEEIIJVEYQgghlERhCCGEUBKFIYQQQslPvnruzuoprJsAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1689,10 +1467,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Linear Regression\n", "\n", @@ -1703,18 +1478,14 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 53, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAFVCAYAAADCLbfjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl8VGWa6PHfqaqksq8kEAgkEAiEfRUB2QWVRVChBbvB\nUdsep6en5073Hbnemdutd8bRZm739PSM9qLdrdC2CyrERlFQEBFBNsMSIIFAAoQlSyW173XuH0UQ\nZElSWU4tz/cfP6RSpx5PTp3nvNvzKqqqqgghhBAi7Om0DkAIIYQQbSNJWwghhIgQkrSFEEKICCFJ\nWwghhIgQkrSFEEKICCFJWwghhIgQHUraBw8eZMWKFdf9/JVXXmHBggWsXLmSlStXUl1d3ZGPEUII\nIQRgCPWNL7/8MqWlpSQnJ1/3Wnl5OatXr2bo0KEdCk4IIYQQXwu5pV1QUMALL7xww9fKy8v57W9/\ny0MPPcTvfve7kIMTQgghxNdCTtpz5sxBr9ff8LX58+fzzDPPsGbNGvbv38/27dtDDlAIIYQQQV0y\nEe3hhx8mIyMDg8HA9OnTOXr0aKvvkWqqQgghxK2FPKbd4pvJ1mazsWDBAjZt2kRCQgK7d+9myZIl\nrR5HURTq660dDUfcQk5OqpzjbiDnuevJOe56co67Xk5Oarvf0+GkrSgKABs3bsTpdLJ06VJ+9KMf\nsWLFCoxGI5MmTWLatGkd/RghhBAi5inhtMuXPNV1LXly7h5ynruenOOuJ+e464XS0pbiKkIIIUSE\nkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ2kII\nIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAhJ\n2kIIIUSEkKQthBBCRAhJ2kIIIUSEkKQthBBCRAiD1gGIzmMyNbNq1TZqatIoKDCzevUsMjMztA5L\nCCFEJ5GkHUVWrdpGaekKQKGsTAXW8tJL92kdlhBCiE4i3eNRpKYmDVAu/0u5/G8hhBDRQpJ2FCko\nMAPq5X+pFBRYtAxHCCFEJ5Pu8SiyevUsYO3lMW0Lq1fP1DokIYQQnUiSdhTJzMyQMWwhhIhi0j0u\nhBBCRIgOJe2DBw+yYsWK636+detWlixZwrJly1i3bl1HPkIIIYQQl4XcPf7yyy9TWlpKcnLyNT/3\n+Xw8//zzvPvuuxiNRpYvX87s2bPJysrqcLDRRtZVCyFCIfeO2BVyS7ugoIAXXnjhup9XVVVRUFBA\nSkoKcXFxjBs3jr1793YoyGjVsq66rGwxpaUrefLJbVqHJISIAHLviF0ht7TnzJlDbW3tdT+32Wyk\npqZe+XdycjJWqzXUj4lqV6+r1ukD1NanUXaiAavDg93lw+31o1NAr9eRGK8nPcVIRoqRXllJJCXI\nHEIhYpXUZIhdnX7nT0lJwWazXfm33W4nLa1tF1ROTmrrvxQlGs1OBoz2EMj5iszeJlIybSg6hV+9\nc6hN78/NSqKoTzojinowujiH/NwUFEVp9X2xdI61JOe568XyOS4udlyueqgAKsXFzi45H7F8jsNV\nh5O2qqrX/LuoqIiamhosFgsJCQns3buXxx57rE3Hqq+P7hZ5k9XNF0cucKCygdMXLJBlpF/WGQI+\nFcXtZ+KYnvTrlUFacjxJCQYS4vQEVPAHAjjcPpqtHpqsbmobbJyts7Hr8AV2Hb4AQI/0BG4r6cnt\nQ3uSn5tyw8/PyUmN+nMcDuQ8d71YP8f/8i9Tcbu/rsnwL/8ys9PPR6yf4+4QykNRh5N2S+tu48aN\nOJ1Oli5dylNPPcWjjz6KqqosXbqU3Nzcjn5MxFJVlcOnTGz+spqjNc2gKKCqDOyTxoSSXhT3zSA/\nNxm9rn3TC1RVpdHs4mhNE0erTRyqauSD3TV8sLuGwl6pzBnflwkluRj0sqpPiGgjNRlil6J+s6ms\noWh6qgsEVPZV1PH+rhrO1gWHC5ovZnDmcAEXTuQx7643O/VL5/H6OVTVyBdHLnLwZAMqkJ4czz23\nFzBzTG/iDHp5cu4mcp67npzjrifnuOtp0tIW1ztabeKNT05yrt6GosDEoT1575WL7P18+pXfCXXi\nyM2WesTH6Rk/JJfxQ3Kpa3aydf85th88zxufnOCjPWdYOKWQ+2cP7qz/RSGEEBqQpN2JLpkcvLn1\nJGUnG1CAKcN7sWBKIT0zk9j3lwqCm3kEJ46EuplHW7bfzM1IZNnsQcyfVMCHX57hk/3nWPNhBdvL\najm77yJnKpNlbacQQkQgSdrtdKOWbnp6Opv3nmX9jlN4fQEG981g2exBFPT6uuujtc082losoT1L\nPVKT4lk6cyATBqXzL7/eTw02yE/Bb8rj/U3zgDdkXEyICCUFVmKTJO12+mZLV417jf6396HqvIW0\npDi+u2Ao4wfnXLf8qrWJI21pQUNw+82rl3q0pcX+7DOf85fSFWT1aWT47EMUjLxATkEzF6pkbacQ\nkURVVZqsbi6ZHPy/X33BsYsTScx2ccbr5ce/+JLiITn4/AEUJThJWKcoGPQKSUYDSQlxJCcYSEmK\nIys1gey0BLLSgrUfdLpr71cmUzM/+MFGKisT5YEgzEjSbqerW7p9Ss7i65NC1XkLt5Xk8u05xaQm\nxXf4uLdqQYey/WbLsU21PdjxpxkMuv0vDLrNSdIYeGvrSe6fPkBmmQsRhpxuH5Vnmzl+ponqC1bO\n1duwu3zBF3OTGJJ7/KrfjqPybDMGvYKqQkBVacs0Y71OIScjkT49kundI5k+Ocn87r92897bDwG6\nWzYiRPeTpN1OBQVmDh3xMXzmYfqNOAN++P7i4Ywf0rFlbW1tQYey1OPqY6sBhbqjlQzJ703W0Gw+\n3HOGk7Vm/mbxcDJTjR36fxBCdFyj2cW+ijr2V9Rz6ryFwOXMqxAsqlRSkEledjIbNxxl9+ezcFkT\n8bjiuGvOOn7328XorurlU1UVn1/F4fbhcHlxuHxYHB5MFjcmi4tGi4tGs4sLjQ4umhzsr6wPvrFf\nKnd9fxPNFzNpupjJJWsaTrePRKOkDK3Jkq82uHrsKK/vJXR9s1ES4nCYnDQdNdAvz97h7qOmpmae\nfHLbNS3ozuqOajn2+fOZ9O7ddOXYLo+PVzYdZ8+xOtKS4/mbRcMY3C+zUz4zlslSma4XbefY4/Wz\n51gd2w/WUlUbfGBXFCjqnc6QggyG9MukqHc6xnj9lfd05j1DVVWabR7ON9ipbbDz5oZyrN5MUrLs\nV35HpygM6JPG8MIshvXPojAvtd31JcS1QlnyJUm7DR5/fD2lpStIzzUzYfFuElLcKBYP7//xPgJ+\nA6CyaFH4dx/d6Eanqipb9p3jra0nAVhxVzHTR/fRIryoEW0JJRxFyzk229xs3neWHQcvYHN6URQY\n0i+TCUNyGVucQ1pyaMNtHdXU1Mz/+T+fc/JUIvmDHMyaV8TpSw5OXbBc6XJPTjAwpjiH8YNzGVqY\nKUNsIZB12l2kpiaNnkUXGTNvP3qDn+ZKFdu5uMsJGyK5YL+iKMyd0JeCnim8sP4Ir35YQYPZxf3T\nBrSplrkQov0sdg+bvqxh24FaPL4AKYlxzLu9gBljetMjPbHb4rjZDPTMzAzefHP5dQ9GdpeXY9VN\nlFebOHiygc8PXeDzQxdINBoYW9yDqSN7Myg/Xe4dXUiS9k1cfTH7U84zfuYe/F49e0tvY9KILWQX\nqO2exR3OBvfL5J9WjuM/3jrI+7tqaDS7eGReCXEGeXoWorP4/AG27DvLezurcXv8ZKYaeXByIXeM\n6EWcQd/6ATpZW1ettEhOiLtSxCmgqlTVmtl3vJ59FXXsPHyRnYcv0isriamj8pg8PI90jXoKopkk\n7ZtouZj7jznFsNsUvC4fpsMqk0ZsuWrGdvtmcYe7nplJ/NOKcfzqnUPsPnoJq9PLD+4fgTGu+28m\nQkSa1tZNH6s2sXZzJRdNDlIS41gyp4hpo3pr+mDckS0+dYrCoPwMBuVn8ODsgVScaWbHwfPsq6hn\n3bYq1n92ituH9uKu2/rSJ+fGmxiJ9pOkfRM1NWkMvK2SIXccx2Uz0nxE5YMNs6/5nXAfww5FalI8\n/7hsDL/ecISDVY388q2D/HDJSJk1KkQrbtZqdXv8vP1pFZ8cOIeiwKyxfVg8dQApiXFahxxS3Ycb\n0SkKJQWZlBRk8m2Xl11HLvLJgVo+P3yBzw9fYGRRNvMnFTAoX9Z6d5TciW+i7ygXavZxHOZEdr89\nmTkz3tU6pG4TH6fnb+8fwe/eK2dfRT2/eKuMf1g6iqQE7W8yQoSrG7Vaqy9a+E1pOXVNTvKyk/ju\ngqH0zwuf+S+h1H1ojdth583f7qOmJo1+JXYKxvTkUFUjh6oaGVmUzX1TB1xTLVK0jyTtG9i85wxq\ndiJ4A5iPOJgz492o6P5uD4Nex18vGkbc+8fYVX6Jf3+9jH9cPloStxA3cW2rNUDf4U7+be1+/H6V\nu2/rx33T+msybn0rXbHF5zd7HBY51vLUT2fy7vZTV5L3hCG5LJ1RRI+MW0+6k1Kt15Ok/Q2fltXy\nxtaTZKTE87++M47cVi6qaKbX6XhswVDiDDo+O3iB/1h3kB8/OJqEeLlshLiaydSMx+MgI+P/oZJJ\nyXQ9am4WPo+fxxcMYtKoglbfHy3J6UY9DoPyM3jyoTEcrW7ine1V7D1ex8GTDcyfVMDdE/vd9GGm\nvRPlYoHcfa+y59gl1n5YQWpSHP+4fExMJ+wWOkVh5d1D8PgC7C6/xH+9c5j/sXRk2LUYhNDSqlXb\n2LTpCeISvIy/dyPZ+XqaL2aw/y/j0Ve/w6SXbp20oyk53WycXFEUhvXPYmhhJrvLL/HmtpOs33Ga\nnYcv8p27ihneP/ua45hMzWzf7iPUiXLRSpL2ZZVnm3l541ESjHp+/OBo8rKTtQ4pbOgUhUfnleD2\n+PnqRAO/3lDO9+8bLsUUhLispiaNpHQHt923m5QsPecre1P24VgCPn2bEk1HZnGHm9bGyRVFYdLw\nXowa2IPSz0/zyf5z/OLNg0wf3ZtvzRx4ZdLrqlXbaG420hlbGkcTSdrAhUY7//XOIVQVvn/fCPr1\nlEkS32TQ63hi0XB+9fZByk428McPjvHdBUOliIIQQL+BVnrctoOEFDdVez0c2zEO0NHWRNNZs7jD\nQVvHyZMSDCy/cxBTRvTi5Y3H2F52nvLTJh6bX8LgfpmXH1xmAG8AKWRkHGf16mVdHH340z/99NNP\nax1EC4fD0+2fabZ7WP3nrzDbPTw6r4Rxgzu28Uc4S042dugc63UK44pzOV7TxKFTJgKqSklBVidG\nGB06ep5F68LpHJ+rt7HnQjMBnZfmSpVMtQancyt+fzW5uR/wwgszWh2fnjo1j7NnS0lMPM3EiXtZ\nvXomiYkJ3fR/cGPddY7TU4zcMTIPVVU5VNXIziMXURS4WF1NRcVEYARQzF13VfGtb43p8ni6U3Jy\n+zdpiuna4z5/gNWvf8XJc2YW39Gfe+/o362f3906q16zxeHh39bup67Jycq7BzNDapVfI1rqYoez\ncDnHNRet/PzNMmxOLyvmFjNzbP6VvQpaWs2RsC/BjWhxjk/WmvlN6RFMFjfF+amc3FHLmdOpnb6J\nUrgIpfZ4TA9K/vnjE5w8Z+a2klwWTinUOpyIkZYUzz98axQpiXH86aNKDlU1aB2SEN3ufIOd//fG\nV9idXh65Zwgzx+YD0TU+3d0G9knn6UduY2RRNpXnrKSPzOGlNbfx0kv3RV3CDlXMJu3tZbV8+lUt\nfXNTeGReiYzNtlPPzCR+uGQker3CrzeUc+aS9q0eIbqSydTM44+vZ+7cT/ju36zn318/gN3l4+F7\nhjB1VO8rv1dQYCY4eQoifXxaCymJcfxwyUjunzaAZqub517bz4GWfb5FbI5pn6w18+sNR0gyGvjH\n5WM02/6uu3X2GFVWWgK9s5PYVX6Jw6dM3D6sp9QpJ7zGW6OVFuf4hz/cRGnpCkzmAeSObUI1uFg6\ns4g7x/W95vfCcXw6FFpex4qiUNw3g765KeyvrGd3+SXiDDoG9omuHcRCGdOOuZa22e7hhfWHCagq\nTyweTo6sxe6QcYNzWXxHfxotLn69/gg+f0DrkIToEjU1aegM/svLuuxYa1TumXj9+uuW2dObN8+W\nbt0OGlucw1PfHkdGqpG3P63i9Y9PEAifaViaiKmkHVBVXt54FLPNw5IZRQwrlJnPnWHBlELGDc6h\n4mwzr398QutwhOgS/QrMjL77ABm9mjl7pC/pPun27g4FvVL555Xj6d0jmY/3n+OP7x/DH4jdxkFM\nJe2PvjxD+WkTI4uyueu2flqHEzV0isJj80vIz0lh21fBuQJCRJvZS4fQu/gC7iaVgsQj/HuM7Ueg\npcxUI//r22Ppn5fGziMXeXH9EerqTVfmGDz++Ls0NTVrHWa3iJniKlW1Zt797BQZKfE8Or8EXRSN\ni4SDhHgDP3xgBP/31X28tqWSPjnJsg2fiBpfHr3ElgMX6ZGewP/54XhSk2JjHozWvlmT/f/+63T+\ntPUMX51o4KuyC7z/l2+jBvQRX/q1PUJqaauqyk9/+lOWLVvGypUrOXv27DWvv/LKKyxYsICVK1ey\ncuVKqqurOyPWkDlcXn5TWk5AVfnewmGkyReuS/TISOT7i4cTUFV+U1qORSZjiShw5pKVP3xwjIR4\nPX+/ZKQk7G7UUpO9rGwxpaUr+ck/f8b/WDqSYYWZkBzH2Pn7UXQBYmlpXUhJ++OPP8bj8fDGG2/w\n4x//mOeee+6a18vLy1m9ejVr1qxhzZo1FBYWdkasIVvzUQWNFhcLJxcypCBT01ii3ZCCTO6fNoAm\nq5uX3isnEIjtSSMisjlcPl5cfwSvL8D3Fg6jT06K1iHFlButeY8z6PnBAyPB6SVv0AVG330AlEDM\nLK0LKWnv37+fqVOnAjBq1CiOHDlyzevl5eX89re/5aGHHuJ3v/tdx6PsgC+PXmLPsToG9kmXAird\n5J7bCxhVlE15dRPv7TytdThChERVVf7wwTHqmp3Mu72A0YN6aB1SzLnZmndjnJ5/+9vx4PTRZ0gt\nCx97h5/9bIZWYXarkJK2zWYjNfXr8msGg4HAVbP55s+fzzPPPMOaNWvYv38/27dv73ikIWiyuvnT\n5gri43Q8tqAEvS6m5t1pRqcoPLZgKD3SE/jLzmqOnG7UOiQh2m3L3rMcqKxncN8M7psW3SWOw9Xq\n1bNYtGgto0dvYNGitdfsGNYrN5sX/vcs+vVMQU2L5/NjMhHtplJSUrDb7Vf+HQgE0F2VEB9++GFS\nUoLdSNOnT+fo0aNMnz691eOGUoe1RWNjM9///iZOn06hf38rL754D69vPYnd5eOJ+0cyvLhnyMeO\nJh05x+36HOB/P3IbT/7X57y88Rj/+aMZ9IihNfHddZ5jWVee48ozTaz7tIrMVCP/9OhEMtMirzhK\nZ9D6Os7JSWXDhpW3/J1/fWIK//O/drBhx2n65qUz9wZr56NJSEl77NixbNu2jbvvvpuysjKKi4uv\nvGaz2ViwYAGbNm0iISGB3bt3s2TJkjYdtyPF6R9//L0rRfr37lVxxr+BmpvEsMJMJgzKDovNBbTW\n3RsAZCQYWD57IGs3V/LsH79k1UNjYqK3I1w2s4hmXXmOXR4fP1uzl0BA5bvzS/C5vdTXe7vks8JZ\nJF3Hf//ACJ770wFeWHcQvaoysihb65DapNs2DJkzZw7x8fEsW7aM559/nqeeeoqNGzeybt06UlJS\n+NGPfsSKFSv4zne+Q3FxMdOmTQvlY9rl6gkLialO/FmJJBoNUldcYzPG9GHCkFxOnjOz8YsarcMR\nolVvfHKSuiYnd03sR4kUYIoIednJ/P3lvRB++94RzjfYW39ThAqppa0oCs8888w1P+vf/+sxn3vv\nvZd77723Y5G109ebyMOIOw+iMygsnz2IrBjt1goXiqKw8u7BnDpv5r2dpxlamCnrt0XY+qqyns8O\nnqdvbgr3TR2gdTiiHYr6pPPIvCH87r2j/Nc7h/jnh8eTnBCndVidLmr6KlsmLEyaW0pu/zqK81OZ\nMqKX1mEJIDkhjscXDgPgd+8dxeGKva5GEf7MNjd/3HQcg17H9xYOJc4QNbfHmHH70F7cc3s/LjU5\n+U1peVSWO42aqzIzM4P/+NUC+t8WT7xBx6MLhku3eBgp7pvBwsmFNFpcrPmoAjXGi/6L8KKqKn/c\ndByb08vSmUWyHjuCPTCtiJFF2ZSfNvHOp6e0DqfTRU3SBnhr60ksDi+L7uhPbgzNVI4UC6cUMrBP\nOnuO1bHz8EWtwxHiil3lFzlU1UhJQSazx+VrHY7oAJ1O4a/vHUbPrCQ+3HOGr05E117cUZO0j1Wb\n+PzwBfrlpjD3tr6tv0F0O70u2O2YEKfjDxuPMm9RbBX6F+HJbPfw+scnMMbp+at7hsi+BFEg0Wjg\n+4uHE2fQ8Yf3j9FgdmodUqeJiqTt9QVYs7kSRYGH7xkSE8uKIlWPjETc52ygUzAWZvLee9/hySe3\naR2WiGGvba7A7vLxwPQB5EgPXVQwmZr5v/+0hUuH/dhdPv77nYP4/NExvh0Vu3xt2XeWSyYHs8fm\n0z8vNorGR7Kz5Ylgyie/5BxFE07GTKF/EX72V9Sxr6KegfnpzJJu8ajRstEIwGj1AHCOtz+tYtns\nQdoG1gkivklqsrj4y85qUpPipNRghCgoMFO+dThOawLFkyroN8imdUgiBtldXtZursSg1/GIdItH\nla/rdigc/mQUXrvK5r1nKTvZoHVoHRbxSfutbSdxe/0smV5EUhSuyYtGq1fPYt7db2KrcqLTq+SO\nysHri46uKxE53v60Covdw6I7CsnLTtY6HNGJrt5oxO/VYzTZMOgVXtl0POK3DI7o7vHjNU3sOVZH\n/7w0pozM0zoc0UaZmRlXNqtf+1EF276qZcOOUyydOVDjyESsqKo181nZefrkJHPXbf20Dkd0stWr\nZwFrqalJo6DAwup/ncnuSjPrtlWx9sMKvn9f5C4JjrikbTI1s2rVNmrOpJE/OYBi1POducXStRWh\nvjVzIOWnTXz45RkG9EzgN/+x9/IXzczq1bPIzJTqaaJz+QMB1n5UgQqsmDsYgz7iOxzFN1zdMGhx\n14R0Dp5sZH9lPV8cuciUEZHZ0Iu4q7VlgoGZEWDUg8Ujk88imDFez2MLSkCBF945xsYPllNWtpjS\n0pUyq1x0ia0HajlTZ+OOEXkU95WHwlih0yl8d34JCfF6/vxxZcQuA4u4pF1Tk0ZcgpfiScfxuOKo\nPSjj2JFuUH4Gd0/sB3F6SqYdvfxTRWaVi07XbHOz/rNTJCcYWDKzSOtwRDfrkZHI8jsH4XT7+cP7\nxyKyMmPEJe2CAjODbq8gLsHHid3F9O1t0Tok0UEmUzMfvXYYu8lH4ahqevQ7DagUFMjfVnSuNz45\ngcvj54EZRaQlxWsdjtDAHSPyGD2wB8fPNLPj0AWtw2m3iEva//hPkxkwpgqfQ2VE3y9YvXqm1iGJ\nDlq1ahvvla5g/wezCQQURt+1n3sXr5W/rehUR6tN7DlWx4DeaUwb1VvrcIRGFEVhxV2DSTTqeXPr\nSZptbq1DapeIS9pbDtSDovDDh0bw8kv3yUSlKNCyptJSl0HV3oEkpMYxc8kw+duKTuMPBHj94xMo\nBCefycTV2JaZamTJjIE43T5e21ypdTjtElFJu/JsM/sr6ynqk8a4wTlahyM6ydVrKk/sLgaPn08O\nnKPiTJO2gYmosb3sPLUNdqaOyqOgV6rW4YgwMH10b4rz09lfWc/+ijqtw2mziEnaqqry5taTADw4\na1DErrET12vZC3306A0sXPBnfvitoSgK/HHTcdxev9bhiQhnc3rZsOM0CfF67psmk89EkE5RePie\nIRj0Ov60uRK7y6t1SG0SMUl77/E6Tl+wMGFILgP7pGsdjuhELWsqN2+ezUsv3cfoIX2YO6EvdU1O\n1n8Wffvhiu713uensTm9LJxSSHqyTD4TX8vLTubeKYWY7R7ejZB7TUQkbZ8/wNufVqHXKTwwQ56U\nY8F9UwfQMzORLXvPUlVr1jocEaHON9jZeqCW3IxE7hwnW/aK6909sR952Ul8eqCW6ovhv2IlIpL2\njoPnaTC7mDmmD7mydV5MiI/T88i8EgD+8MExvL6vu8lNpmYef3w9c+fKftzi1t7YeoKAqvLgrIHE\nGSLidie6mUGv49tzilGBP22uJBDma7fD/ip2e/2890U1xjg98ycXah2O6EbFfTOYNS6fC40O3ttZ\nfeXnLVXxpHKauJVDVQ0cOWWipCCT0YN6aB2OCGNDC7OYMCSXU+ct7Azztdthn7S3HjiH2ebhzvH5\nMh4VY0ymZratK8fnVHn/i2oOVZ4Hrt52D6RymrgRnz/A65+cRFFg+Z0ycVW07sFZAzHG6Vn3aRU2\nZ/hOSgvrpO1w+fhgVw1JRkOwzKWIKatWbeO9DSvYu3EKKAq/fL0cnz9wzRIxqZwmbuTTr2q5ZHIw\nY0wf8nNStA5HRICstATuvaMQm9Mb1hNgw3qXr817z2B3+Xhg+gCSZa/smNPSom48m0PNoQIKRtbw\nwe6a67fdk8pp4ipOt4/3dlaTEK9n0R39tQ5HRJA54/vy+aELfFpWy4wxfeibG34PfGHb0rY4PHy0\n9yxpSXEy6zNGXd2iPvbZUPAF+MvOahz+uGuWiEnlNHG1D788g83p5e6J/aS+uGgXg17HstmDUFV4\nc+uJsNxQJGyT9ge7anB7/CyYXIgxXq91OEIDVxddmX/PGzw6fyD+gMofPzhGIBB+XyahPbPNzUd7\nz5CWHM9dE2RITbTfiAHZDO+fxdHqJg5VNWodznXCsnvcZHGx9UAt2WlGRhYk8/jj6y93hZpZvXqW\ntKxixI02si8/a+fLo5f4eP855k6QHhhxrfd2VuPxBnhwVn952Bch+9asgZT/YQ9vbTvJsP5ZGPTh\n074NKRJVVfnpT3/KsmXLWLlyJWfPnr3m9a1bt7JkyRKWLVvGunXr2n38D3bX4PMHWDilP//0v7fL\n8h5xxfKRBm2hAAAgAElEQVQ7B5GSGMe7n1VR1xyZm9iLrnHR5GB72Xl6ZiUxdWSe1uGICJafk8L0\nUb250Bi8psJJSEn7448/xuPx8MYbb/DjH/+Y55577sprPp+P559/nldeeYW1a9fy5ptvYjKZ2nzs\nJqubzw6ep0d6ApOH95LlPeIaaUnxPDRnEB5vgFc3HQ/LMSehjXe3VxFQVR6YNiCsWkYiMi2aOoCE\neD2ln5/GEUZ1yUO6svfv38/UqVMBGDVqFEeOHLnyWlVVFQUFBaSkpBAXF8e4cePYu3dvm4+96csa\nfH6VBZMLMeh1srxHXGdiSU9GFWVzrKYpIjexF52v6ryZfRX1DOgtOwCKzpGeHM/8SQXYnF42flGj\ndThXhDSmbbPZSE39ens7g8FAIBBAp9Nd91pycjJWq7VNx222udledp7sNCOTh/cCkOU94homUzOr\nVm3j3MU08m6HNz6pZMSAbDJTjVqHJjSiqipvb6sCYOmMIimkIjrN3Al9+fSr82zZd5ZZY/vQIwzK\naIeUtFNSUrDb7Vf+3ZKwW16z2WxXXrPb7aSlta1L+7PDF/H6Ajw4dwh5vYI7eeXkpLJhw8pQwhQ3\nkJMT2XsJ/+AHGyktXQEo9HOcZuScQ7y5rYp/fvS2sLpZR/p5jgQt53jfsUtUnG1mfElP7hgnM8Y7\nk1zH8PCCofzizwf4cN85/mH5WK3DCS1pjx07lm3btnH33XdTVlZGcXHxldeKioqoqanBYrGQkJDA\n3r17eeyxx1o9ZpPVxQc7T5OZamRUYSb19W1rnYu2y8lJjfjzWlmZSMschzOHCykef5A9Ry/y/mdV\nTBzaU9vgLouG8xzuWs5xIKDy+9LDKMC9kwrkvHciuY6Dhuank5+TzLZ9Z5kxKq9TK+yF8lAU0pj2\nnDlziI+PZ9myZTz//PM89dRTbNy4kXXr1mEwGHjqqad49NFHWb58OUuXLiU3N7fVYz7w2Ed4fAFm\njsqV3XjETV07xwGSLDbiDTpe21KJ1eHRLjChiV3lFzlXb2fyiF7kh2H1KhH5dDqF+6cXoUJYlDcN\nqaWtKArPPPPMNT/r3//rcoEzZsxgxowZ7Tqmsacely2ODWuOsOCOQaGEJWLAdXMc/m0me05YeHPr\nSV7/+ATfu3eY1iGKbuL1+Vm/4xQGvY7FdwzQOhwRxUYVZTMwP52vTjRwstbMwD7pmsUSNk1aQ7yf\nk3sGcaZalnSJm2spuHJ1CdM54/vSPy+N3UcvUXayQesQRTf5ZH8tJoubO8flk52eoHU4IoopisKS\n6UUAvPNplaZLTcMmadubkzhzpJ8s6RLtptMpPDpvCHqdwtqPKnC4fFqHJLqYzeHh/V3VJBkNzJtU\noHU4IgYU982gpF8aFWebuXf5Vh5//F2ampq7PY6wSdq2cicL5/9ZlnSJkPTJSWHh5EKarG7WfXpS\n63BEF3t76wnsLh/zJxWQkig7AIruUbGzFlWF+LwMSktXaFKhM2xqj+/Zfa/MVBQdMm9SAfsq6the\ndp7bSnpSUpCpdUiiC5gsLv6y4xSZqUZmj8vXOhwRQ86cSEGx5dOn5By9Bl7UpEJn2LS0hegog17H\nI/NKUBR4ddNx3F6/1iGJLrDh89N4fAEWT+1PfJxsCiK6T0GBmcpdxagBKJ5UQT8NhnMlaYuo0j8v\njbsm9KOu2cmGHdovzxCdq7bexs7DF+jXK5Upw2VTENG9Vq+exZ3T1+O4pJKWY2HFE6O7PQZJ2iLq\nLJran9zMRDbvPcup8zKxMZq8s/0UqgoPzxuKThc+FfBEbGhZvfKfP52EosDHZXUEunkmuSRtEXWM\ncXoeuWcIqgp//OAYPn9A65BEJ6g820zZyQaK89OZECbV70Rs6pWVxKRhvaitt7O/or5bP1uStohK\ng/tlMmNMH2ob7Gz8olrrcEQHqap6ZVXAkpkDw6rOvIhNC6cUolMU3vv8dLe2tiVpi6i1dEYRmalG\n3t9Vw7k6W+tvEGHrqxMNVNVaGFuco2k1KiFa9MxMYtLwntQ22Nl3vK7bPleStohaiUYDD989GH9A\n5Xd/OcJ3H1/P3LmfaFYUQYTGHwjwzvYqdIrCA9OlXKkIHwsnX25t76wmEOie1rYkbRHVRhb1YNKw\nnpyrd3Dk3CTKyhZTWrpSk6IIIjSfH7rAhUYHU0flkZedrHU4QlyRm5nE5OG9ON9gZ283tbYlaYuo\nt2z2IPwelcFTjpOUYQMUTYoiiPZze/xs+Pw08QYd907p3/obhOhmCy6PbW/cVd0tY9uStEXUS02K\nx2ByoDcEGDWnDAhIjfsIsXnfWcw2D3Nv60tmqlHrcIS4Tm5GIhOH5lJbb+fgia7fsEiStogJ//6T\nO8DuJbtvIwtXvCU17iOAxeFh0+4aUhLjuGeibAoiwo/J1Mzjj69n/e8vArBhR9fvACZJW8SErKxM\nfv7kDBKNBox9UlD1spVjuPvLzmpcHj/3Tikk0Rg22yQIccWqVdsoLV3Bvi8Wc+FEHmfrHRytburS\nz5SkLWJGZqqRZbMG4vL4WfNRhaZ74opbq2ty8OlXteRmJDJjTB+twxHihoJzY4I1A05+WQzA+7uq\nu/QzJWmLmHLHyDyGFmZyqKqR3UcvaR2OuIl3PzuFP6By//QBGPRymxLhqaDADAQf/s116eDwcvxM\nMyfPmbvsM+XbIGKKoig8fPcQ4uN0vP7xCSx2j9YhiW84fcHCnmN1FPZKZfyQXK3DEeKmVq+exaJF\naxk9egOLFq3lb5cNA2Djruou+0wZKBIxJycjkQemFfH6Jyf488eVPLFouNYhictUVWXdtmC50qUz\nB6KTcqUijLVsIHK14gOXOFTVSM1FKwW9Ujv9M6WlLWLS7HH5FPVJY8+xOr6q7N6C/+LmDp9q5PiZ\nZkYWZVNSkKl1OEK024LJhUDXjW1L0hYxSadTeOSeEgx6hTWbK3C4vFqHFPMCAZV1n1ahAEumF2kd\njhAhGdY/i4JeqeyvqOd8g73Tjy9JW8Ss3j2SWTilP2abhze3ntQ6nJj3xZGL1NbbmTIij/zcFK3D\nESIkiqKwYFIhKvDhnjOdfnxJ2iKm3TOxH31zU9hx6AJHq01ahxOz3F4/63ecIs6gY/FUKVcqItuY\n4h70zEpi15GLNFndnXpsSdoiphn0Oh6dV4JOUXhl03HcHr/WIcWkj748Q5PVzdwJfclK077wjaqq\n+P0+PB4PXq8Xv1+uC9F2OkXhnon98AdUPt539krltM7YZVBmj4uYV9Arlbsn9uOD3TW881kVD91Z\nrHVIMaXJ6uaDL2tIS45n3u3alSv1eDw4nQ68Xg8+n4/g+tvg7HVVDXZ7xsXFER8fT2JiEgaD3D7F\nzU0a1pP1n53i07JaPnrjMO+VrgAUyspUYO11s87bSlraQgD3TimkZ1YSn+w7R8WZri1DKK71zvYq\nPN4A908boEm5UpfLSUNDPSZTI263m0BARafTo9MZLv9Xj16vR6fT4ff7cTqd1NfX0dRkwuORdf7i\nxuIMeu4cn4/T7cfk/7pyWkd3GQwpabvdbn74wx/y7W9/m7/+67+mqen6m9yzzz7LAw88wMqVK1m5\nciU2my3kIIXoavFxeh6bXwIKvLzxGA6XT+uQYsLpCxa+OHKRfrkp3DEir1s/2+fz0thYj9ncRCAQ\nQKdr++1Qr9fj9XoxmRppbg6+X4hvmjmmD8Z4PRmFKjp9yz1F7dAugyEl7ddff53i4mJee+01Fi1a\nxIsvvnjd75SXl/P73/+eNWvWsGbNGlJSZDaoCG8D+6SzcHIhjRYXr22p0DqcqKeqKq9/cgII7nmu\n03VfIRW73UpDQwN+fwBF0Yd8HJ1Oh9vtpqGhDpfL1YkRimiQlBDHjNG9waBj/vJ1VyqndWSXwZCS\n9v79+5k2bRoA06ZNY9euXde8rqoqNTU1/OQnP2H58uW88847IQcoRHdaMLmQ/nlp7Cq/xJdSm7xL\n7T1ex8lzZsYV5zCkmwqpqKqKydSIzWZrV8v6VhRFARSam5uwWq2dckwRPeaM74tep9CrpAcffjSL\nl166j8zMjJCP1+oA0ttvv82rr756zc969OhxpeWcnJx8Xde3w+FgxYoVPPLII/h8PlauXMmIESMo\nLpYJPiK8GfQ6vrdwKD/94x7WflTBoPz0sJjNHG28Pj/rtlVh0Cssndk9hVT8fj9NTY2XW9edP51H\np9PhcNjw+XxkZGRcTuYi1mWlJXD70J7sPHKRQycbGT2oR4eO12rSXrJkCUuWLLnmZ3/3d3+H3R6s\n9GK320lNvba+amJiIitWrMBoNGI0Grn99ts5fvx4q0k7J6fz67SKa8k5bl1OTirfWzyC/153kDWb\nK/mXv57c7q5bOc+39ubHFTRaXNw/YyDDinuGdIz2nGOfz0ddXR3p6YkhfVZ7BLd8ddGjR07EJ265\njjvH8rtL2HnkIh8fOMecyR2rQxDSVM2xY8eyfft2RowYwfbt2xk/fvw1r58+fZp/+Id/oLS0FJ/P\nx/79+7n//vtbPW59vXQtdaWcnFQ5x200ZkAWowf2oOxkA699cJS7J/Zr83vlPN9aQ7OTt7ZUkp4c\nz6zRvUM6V+05xz6fD5Opga9n73Y9VXVgMtnJysqO2MQt13HnSTIojCzK5lBVI7u+OsfA/HQgtIei\nkPqIli9fzokTJ3jooYdYt24dP/jBDwB45ZVX2LZtG0VFRSxevJilS5eycuVK7rvvPoqKpJawiByK\novBX84aQlhzPu59VceaS3Lw6y+ufnMDjC/CtWQNJSujaJV5+v7/bEzYErx+fz0dTk+lyy1vEunsu\nP/hv+rKmQ8dR1DC6ouSprmvJk3P7Hapq5JfrDtIrK4mf/NV4EuJbTzJynq9lMjWzatU2amrS6Fdi\nJ5CXQnHfDFY9NCbkVmhbzrGqqjQ01GuaNFVVJT7eSGZm5O1YJtdx51JVlX9ds5/qCxb+9fGJ5GUn\nd19LW4hYMbIom7kT+nLR5GDtRxXSagrBqlXbKC1dwaHDC7Em5oKq8p25xV3abdwyS1zr9dOKouDx\nuLBaQ1+XK6KDcrm0qQps2Xs25ONI0haiFUtmFF1ZBvb54QtahxNxgtWfFIomnCQ5w4H1LOTndG3d\nBovFjM/nC4vxZEXR4XDYcTodWociNDa2OIce6QnsPHIRiyO0anqStIVohUGv44lFw0g0GnhtcyW1\n9VLdrz0KCswkpdsYeFslLpuRdF/XtjqDCdIZFgm7haLosFjMeL1S9jSW6XQKcyb0xesLsO1AbWjH\n6OSYhIhKORmJPDqvBI8vwK9Ly2U3sHb42c9mMmv5h+gNARLtTfz7z0KvBtUar9eDxWLptMIpnUlR\ndDQ1NckQS4ybOjKPJKOBrQfOhfT+8LuyhQhT4wbnMHtcPucb7Lz2caXW4USMY7UuSIpjeP8sXv7F\n/A5Vg7oVVVVpamoKy4TdQlVVzGbZkCaWJcQbmD6mN1aHN6T3h+/VLUQY+tbMgRT0SuXzQxfYKePb\nrbLYPbzxyQmMcXpW3j24S7uszebmsG/FKoqC2+3G4bBrHYrQ0J3jgqVNQyFJW4h2iDPo+JtFw0gy\nGnj1wwqqL8qs4Fv588eV2F0+7p8+gB5dWI3M5XLgcrnCahz7ZhRFh9Vqvbxnt4hFmalGJg4NrRKg\nJG0h2ik3M4nv3TsMvz/Af797GItdJhfdSNmJBvYcq6Oodxqzx+Z32ecEAgHM5vAcx74ZRQluMCJi\n1/3TBoT0vsi5yoUIIyOLsrlv2gBMFje/3nAEn1/2U76a3eVl7eYKDHqFv5pX0qXbbprNTRHRwv4m\nn8+H3S4rEWJVqBsRSdIWIkTzJxUwrjiHirPNrNtWpXU4YeW1zZU0Wd0snFxInx7JXfY5TqcDjycy\nezp0Oh02m3STi/aRpC1EiBRF4dH5JeRlJ7Fl31m+OCIT0wC+PHqJ3UcvUdQ7jXmTCrrscwKBABaL\nuUu22ewuwfXbzVqHISJI5F7tQoSBRKOBv3tgJIlGA69squDEudi+ATdZ3az9qIL4OB3fXTAUfReO\nM0d6wm7h9XpxOKRammibyL/ihdBYPB7cp814vX6ee3Ufx07GZos7oKr84f2jONw+ls0aRM+spC77\nLLfbjcvl7LLjd6fgbHKz5nXSRWSQpC1EB61atY333ljO4U9Gg17Hql/txuYMrXBCJPvoyzOUVzcx\nsiib6aN7d9nnfF1ERd9ln9H9FKxWs9ZBiAggSVuIDmrZEOPM4UJO7h2IGqfjv985hNcXOy2nyrPN\nvLP9FBkp8Tw6r6RLZ3M7HLaom7ylKApOpytiJ9WJ7iNJW4gOKigwA8FKXMd3lKB3+Kg8Z+aPHxwj\nEOYVujqDxeHhN6VHAHhi0XDSkuO77LMCgQA2my2i1mS3lU4X3FREiFsxaB2AEJFu9epZwFpqatIo\nKLDwm6fn8/xrh9h99BLJCXE8NGdQRK4jvhWTqZlVq7ZRU5NG/u0+SIrjgekDKO7bNXXFW0TL5LOb\n8ft9OBx2kpK6bpmciGyStIXooMzMDF566b4r/87JSeXvl4ziZ38+wCcHzpGUYOC+EKsfhatVq7ZR\nWrqCwVOOQdIJsHu55/auW94F4PF4cLlcUdnKbqEowbXbiYlJUfegJzqHJG0hukBKYhw/fnA0z//p\nAH/5oho14GXTa0cvt8bNrF49q8t2u+oONTVp9BlyjkETT2BvTqb5kA1dFycZq9Uc1Qm7haqC1Woh\nLS1d61BEGIr+b4AQGslIMfI/l40mM9XIxt21lJ2+g7KyxZSWruTJJ7dpHV6H9Cu2MXJuGV63gb0b\nbqNfn67dOMXlckTd5LObCU5Ki53/X9E+krSF6EI9MhL58YOj8XtURtx5mMIxVYByecZ5ZKprdpI8\nKBO93k/zMS933PYWHo+duXM/4fHH36WpqXMLzKiqisVijeqx7G8KdpPLDnLietI9LkQX690jmbiL\nVhxZOQyfeQSdLkBBfttuyFdP+AqHbnWzzc0v3ijD6vTx7bmDmf1UPo8/vp7S0scAhbIyFVh7zRh/\nRzkcdlQ1EFNJG8DlcuPxeIiP77rZ+CLyxNa3QAiN/PuzM0gyNeBzBRg6/SiNpPDdNrRKWyZ8hUO3\nusPl4xdvHaSu2cmCyYXMHhfcbrNlnXpQ5/YiqKqK3W6LuYQNLRuKSGtbXCv2vglCaCAzM4OXX1xE\n/CUbDnMSGUV6qh0j+cdWknBXJsT2cLh8/HLdQc7W2Zgxujf3Te1/5bWr16mDSkFB5yUaq9VKDCx1\nvymPx4vL5dI6DBFGpHtciG7Q0s29ZTMElKlMuG83/Uacwd6QhsvjIyH+xl/FggLz5S5nhc5OiG1l\nd3n5xZtlnL5g5fahPfnO3MHXLEf65jr11atndsrnBgIBnE57TLayW7Rs35mQENrey9FAVVXUy09u\niqLE/FI4RVXD5zm2vt6qdQhRLScnVc5xN7jReQ6O+y4EfgP8L/RxfsYt2Etu/zryc1L4wf3Dyc28\nfoONpqZmnnxy2zUJsTvHtC0OD794s4wzl2xMGdGLR+4pQafrnpum2dyM2+2+4WuZmUk0NcXGzliq\nGiA9PYOEhMRu/Vyt7hfBzWBc+Hxe/H4fgUDgSm+LogQfZAwGAwZDHEZjAkajsdtj7Cw5Oantfo+0\ntGOcqqp4PB68Xi+BgJ9gN6eCougwGPTExxvR66NpYwZtBLu1PwSeAN7A703m3J4jLJ4/nS+ONvDM\nK/t4fOFQRg/scc37vlm4pTvVNtj5z3UHaTC7mDaqNyvvHtzla7Fb+Hw+nE5nTKzLbk1wFzBrtyft\n7uT3+7HbrbhcLlRVvap3RbnhxjA+nx+fz4/DYUev12M0JpKSkhIT10uHkvaWLVv48MMP+fnPf37d\na2+99RZvvvkmcXFxPPHEE8yYMaMjHyU6USAQwG634/EEn2ZVVbnhxR7slgqg1+uIi0sgMTExop9q\ntRTs5s4EMoHlAOTmBPjuvSMZUniBtZsr+NXbh1gwuYB7p/THoNf25lN+2sSLGw7jdPtZdEd/7p1S\n2K3dktFaXzxUgYAfh8NBUlLXbXeqhUAggNVqueoBrX3d3zqdHlUFp9OB02knMTGR1NT0qO5CDzlp\nP/vss+zcuZOSkpLrXmtoaGDt2rWsX78el8vF8uXLmTJlCnFxcR0KVnSM1+ulqcmE2+1CUXSXx4f0\n3Oz6bnldVcHjceN2O9DpDCQnJ0tt5HZavXoWe/eu4fz5hXxzfPqOkXn0zU3hhfWH2fhFDYerTHx3\nQQl9clK6Pc5AQGXjF9WU7jyNXqfwvYVDuX1Yr26Nwefz4XI5omzrzY5pKW8aTUnbbrdjtVrQ6XQd\nfkALJungTmkul4uUlLSoOldX0z/99NNPh/JGu93OvHnzKC8v56677rrmtd27d+P1epk1axbx8fHs\n2rWLwsJCcnNzb3lMh0O2pesKfr8fi6UZl8uO0+m5krDbq6XLyu124XQ60ev1GAwywvJNycnG667l\nxMQEHnxwMGfPlpKYeJqJE/eyevVMEhODE4wyUoxMGZGH2e7m8CkTOw5dQEVlQO809N3U4qxvdvLi\n+sN8fvgi2WlG/sfSUYws6tH6GzuZxWImELj1VJvExDhcrtjas1xVA+h0OuLiumfd9o2u487g8/kw\nmRpxuzt/+KMlebvdwW1OjcaEsG51Jye3v+ey1Tvu22+/zauvvnrNz5577jnuuece9uzZc8P32Gw2\nUlO/HmBPSkrCapUJUFqw2+3YbBYURUdycuc8eSqKDlVVaW5uwmiMJy0tQ8a926C18emkBAOPzR/K\n2OIc1nxYwYYdp/n80AUenDWIscU9uuzm4/MH2LLvLKU7TuPxBRgzqAePzCshJbH7e8aCrWyntLJv\nINjatkX0ZiIulwuzuflyL17XPYwqig6fz0dDQx0ZGVlRVaCm1aS9ZMkSlixZ0q6DpqSkYLPZrvzb\nbreTltb6+tJQZtKJGwsEAjQ2NhIX5ycr6+tu1swbzFDuKL/fTnp6FomJ0TtRpr06ci3PzUnljrF9\neWNLJe99VsUL6w8zMD+db905mInDenXa7G1/QGXHV+f480cVXGi0k54Sz9/dO5zpY/M1SwqNjY1k\nZ7ft3HXFtRzuAoEASUk6UlK6Z+ikM+/JFosFt9tNVlb3Dq0FAk4SE43dds66Wpf0bY4cOZJf/vKX\neDwe3G43p06dYtCgQa2+T5YjdQ6Px0Nzs4mvi3IEdeUymaamsyQmJrfp4SzaddZSmYW392P8oGw2\n7DjNvuN1/Nsre+iVlcTUUXlMHp5HenJorQeb08vOwxfY9lUtdU1O9DqFWWP7sHjqAFIS42hosLV+\nkC4QbBk1tKmVHUtLvr7JbL5ITk5ulz9YdeaSL7O5CZfLpdma+6am8yQlhd/9SfMlX6+88goFBQXM\nnDmTFStW8NBDD6GqKj/60Y+iqnsinDmdDszm7t/CUFF0OJ12fD4vmZlZEdt9F27yspP5m8XDudBo\n54NdNXx5rI5126p4+9MqivqkM3JANgP7pNOvZypJCTf+Ont9fs7W2ak6b+bgyQYqzjTjD6jEGXRM\nHZnHwsmF9MjQvpfEarVKt3gbqGoAp9MREZNBVVWlqakJr9etaZEcnS54f1JVP+npmZrF0RmkuEoU\nsdut2Gz2mybM7midqKqKXq8nKys7ZpfsdGVRCpvTy5dHL/HlsUtU1ZqvKfGZlhRHRoqRhHg9KApe\nn59mmwezzUPgql8s7JXKbSU9uWNknibj1jfSMv7Y1qQdyy3tFl3d2u7odRxM2Ca8Xm/YPMSraoD4\n+AQyM8MjcWve0hbasVotOBzal3xUFOXyeHoDWVnZMkGtk6UkxjF7XD6zx+Vjc3o5VtNE9QULNZes\nNFrcXGpy4vb6ATDoFdKTjQzok0ZBbiqFeamUFGSSlRZ+JTFtNmllt0e4t7bDMWFDsEfQ43FhNjdF\nbItbknYUsFjMOJ0OzRP21VRVpbGxgezsHpK4u0hKYhwThuQyYcitl1KGO5kx3n4tM8nDNWk3NzeF\nXcJuoSi6y5uwNJOert02t6EKn7u8CEmwmlB4JeyrmUyNBAIBrcMQYSxY/UwSdnsFAgEcDrvWYVzH\nbG7G43GHZcJuEUzczohcihyed3rRJna7LSy6xG9FVVVMpgbCaOqECCMtrWzRfjqdDrs9vJJ2sH64\nM6zvSS0URYfDYQvLB59bCf8zK27I6XRgs9ki4svh9wcwmRolcYvr2O1SY7wjAgE/Tmd4TMgLtlwj\n457UIrgZizmi9iyPnLMrrnC73VgszWHd/XQ1RVHw+Xw0NzdrHYoII4FAAJcrPBJOpFKU8Ghte70e\nzObmiHwAUxQ9ZnMzPp9P61DaJPLOcIzz+XyYzU0oSmSNASqKgsfjisgxJNE1rFZLxF3H4cjv92ra\nUgwEAjQ1NUVUC/ubFEWhqckUEb2BkXuWY1DLMopvVjqLFMFWgU1aVwJVVXE6ZSy7MyiKHrtdmyp2\nwOV7UuQLBAI0NzdpHUarJGlHkKYmU8TPxNbpdJjNFny+2NqhSVzLZrNGzPBOJPB6vbjd7m7/XKs1\ner7Lwd5Ad1gMN9yKJO0IYbVa8Xo9UXGjC3ZFNUVEV5TofKqqXl71EPnXcrgIziTv3ta2y+XCbg/v\n1SvtFVz/bsbjCd9toqPnbEex4JcjsmZltqZlHEzEnmBykYTd2Twed7clG7/fj8USmRPPWqMoepqb\nw7dREX1nPMr4/X7M5qao+3IoioLXG/5dUaJzBceypZXdFXS67hvbDo79Ru/fUFVVzObwbFREVyaI\nQs3NkT0r81aCXVGWsO6KEp3L6XQQCIRnCyYauN2uLl+6ZLdbo2Yc+2YURcHtdodl4ZWwyQZWq5Xm\nZhNmcxMWiwWn047f79c6LE1ZrbHw5dCFdVeU6FzRNgYabnQ6PTZb17W2vV5PxBVQCVWw8Iol7NZv\nh82GIV6vF4/n6wTldKqoqhm9Xk98vJGEhESMRqOGEXYvj8eDw2GNiXWsqqpisTRH7K47om2CrWx/\nTOYrhfEAACAASURBVNzwteRyOfH7Uzt9o55gl3F0jmPfTEujokePHK1DuSJsz76iKOh0elQ1WAGs\nqclEfX0ddrst6ltlqqpe7haP/oQNwb+10+mS9dtRTlrZ3UOn02GzdX4RI6vVgt8f2UtOQ+H3+7Db\nw6coVMR8g3Q6HaqqYrPZaGi4FNUTmCyW5qh/MPmmlvXbkb4OXdyYy9X1Y63ia06ns1O/S8GeP0dM\nTiAMdpPbwmaoMmKSdgtFUVBVBZvNQkNDXdRNYnK5XLhcrhj9cigRUZFItJ9sDNK9FEXptJnksdgt\n/k06nS5s9k6I2L+CougIBFRMpkbM5uhombaM7cZyF6LX6wnLGZsidB6PB683uh6uw11wyMnRKfdF\nq9UsPWAEu8m7YtihvSI+O+h0OlwuFw0N9RF/Ywg+fGgdhbZaZmzG+sqBaBJsZcfG/Ixwoqp0+AE4\n2C3ujMmev28KLlG1aT7ME/FJG1q6zIOt7khtpblcLtzu2OwW/6aWGZsi8vl8PtzuyNmrOJoEu8hD\nvx+29PzFcrf4NwXn3mh7b4qqv4ai6LBYLFgs4TH20FbSLX49n88bsQ9g4ms2m7SytRQIBHA4QluV\nYbHE5mzx1vh8Pk0nQkddltDpdDidTkymxogZ5w7OFtc6ivAS7Ca3ylhaBAsEArjdsv2mlnQ6XUgP\nvz6fD5vNJj1/N6D1EF7UJW0InlSv10tjY0PY3/RdLhdOp3SL34iiKJjNkdVrIr5mtVqk9ygM+P1e\nXK72DVGYzU1yT7oFnU6nWY9u1H6jFEUhEAjQ2Fjf5U9Eqqri9/vx+Xz4/b42PygEu8XNMmZ0C263\nu903HKG94MYg0soOB4rSvo1EHA675pOtIoHb7dHk3hQ2ZUy7iqqCydRIVlZ2p5T1CwQCuFwO3G4v\nfr8Xv99PIKCiKMHPUhQVVVVQFAW9XofBYMBgiCMhIZG4uLhrjmW1WlBVVZ5ob6HlidZo7CnnKYJI\n12p48fm8eDwe4uPjb/l7gUAAq9UqPSRtELw3mTEajd16rUd90gauzCwPNXGrqorDYcflcuHxeNDp\ndFf+SIqi42aHVFXwen14vcGJC3q9jvj4BJKTk4GWLQplkk5rVBUsFjPp6RlahyLaQLbfDD+KosNu\ntxEfn3XL37NYzPJ3awdVVbFazaSldd+9qUNJe8uWLXz44Yf8/Oc/v+61Z599lgMHDlxOUPDiiy+S\nkpLSkY/rkGDibiA7O6fN3dF+vx+bzYrTGVynGGw9h5Zkg2VYg1vnOZ12HA4HRqORuDhJ2q0JFopw\nkpiY1GpLQWjP4bBf7nXSOhJxteC2nV4Mhrgbvu7xBLt7Zbiu7VqK2CQlJd/0vHa2kJP2s88+y86d\nOykpKbnh6+Xl5fz+978nIyN8WkctXeXZ2T1u+TQZ7CKy4HQ60el0nX4Rezwe3G43brcbg8FAcnL3\n/cEjVUs3eY8euVqHIloR3BhEMna4adm2MyPj+t30ZE126BRFj9ncTHZ29+wEFvJfaOzYsTz99NM3\nfE1VVWpqavjJT37C8uXLeeedd0L9mE7n9/tvuRzMbrdTX1/XZU+cqhrAbrej0ynodAqBgB+z2YzN\nZkFVw3umu9b8fn+n1VMWXSNYOlOu43DlcrluODHX4bBJFcIO8Pl8Ia+Hb69WW9pvv/02r7766jU/\ne+6557jnnnvYs2fPDd/jcDhYsWIFjzzyCD6fj5UrVzJixAiKi4s7J+oOUBQFn89Hc3MzmZlfP3H6\nfD7M5iZ8Pl+XTsIIFpu4thWi0yl4PF683iaSk5OJj0/oss+PZMEyglYSEhI7fa9g0Tlk+83w1rJt\n59XzQ4LDgDb5u3VA8N5kITExsct7mVpN2v+/vXOLmaQo//+3e3rO8767C66//G9cDBGMwUOECwNi\n2AsS9MKwsJjlsBDijXDDYZE1ohJjyIaYIDdLRDEsWUyIQQxcaUKMqMRERdFIAglhoyiIu/u+M9Pn\n7uqu/0V1dfecT32cqU9C2Pd9Z6Zruqvqqed8+PBhHD58eKEPbTabOHr0KOr1Our1Oj73uc/hzTff\nnCm09+1rLXSdVaCUolbzsWfPHmiahl7PwPZ2usKSNU6QIUmTr0MpgSy72N7eTuXhZ3mP00JRCD70\noeK4Xcaxf/9W3kPIHNM0Ydu1zEys6zCX84BSigsvbIfP6dy5c7jggvHxRuIezw+lFNWqN6AMpkEq\n0eNnzpzBfffdhxdffBGEELz22mu44YYbZr5vdzcb8wJnZ0cDpe8H0eDpbjSU0qCe9uzSZ6pqY2dH\nxdbWNiqV5B7Rvn2tzO9xGlCqwTQpGo1iWiT279/C2bP5dwPKmvPnz2VmYl2XuZwHlFJY1vvY3t6G\nZVlBIZXR/U/c48XZ2dFgmj6q1fkCZpc53CcqtE+dOoUDBw7g4MGDuP7663HTTTehWq3i0KFDuPji\ni5O81Mp4nod+vwffJ9je3jv3TV4Wy2K+vnm0Z5bzzXrYttsd1OvFFE55wcsIZp0fKZiM4zggxBUm\n1hLAIp51dDodUbUuYWS5gn6/l2pQmkQLUqB7Z2cH77+/k8m1XNdBv98PfcuUAnv27E3NT+p53tJl\nASmlaDSaaLXaK49jnU7OlFK0Wm1sbRXPDL2Jmvbu7g5c183seus0l/OAFXXi/x8vtMU9Xg5KfWxt\n7UGrNdu1sIymvXFHLNu2oKq9gWAwSWKN3ucxXS/DKikwkiTBskyoah9pja+MSJIEw8i/t62AVduy\nbTvvYQgWgNetEJaq5OFBaWnpwxsltE1Tnxgl6fs0EIzJwoLPVtvQJEmC67ro9dI7WJQRZibv5T2M\njUdVNZHfWzJY6qQk6vqnBK/imAYbs9IMQ4dhmCPpVhxJAlzXhWUl1yeVUgpdT2ZDkyRmZu92uyIP\nNkZeRfsFDEKIaL9ZMlzXgeM4oRVPkDy8UloalsCNENqapgXVzaabgiRJgq6bcJxkTH08+CwpmA/K\nR68nBDdHluWw8Yoge9ihVOTMlwle3AngPc/FoTcNWFBa8u07115oa5oG27ZmCmyOLEvQNBW+v1rq\niud5Yc3ypOGR5UJwM3zfh6aJSmlZwzveCcqDZZkDaXm8rr8gHZj1Ntn7u9ZCe1GBzZEkCf3+av5t\nw0i3/jIT3LtCcCMKShNlGLOFpQsJLbsssG6Fxsh+6PskMeuiYBBJktHvJ2sJXFuhrevLCWyO7y9f\n55r5jNJfBJQCvV4XIjiNLw4RlJYVvu8LDa1ksP1sdK+QJFk8yxShlCZqCVxLoc17Xy8rsAGmvdm2\ntZTwZfXFs7m1vk/R7QrBDQCOY4vUo4xgWRgiXagsEELgONbEZ0YIges6GY9qM0g6PXXthLZpmrCs\nURPQMkiSBE3TFvJvZ93lSJKY1sPM+ZstuIW2nQ2UUpimIYR2idD16Q1BZFnKrEvVJsKrOCbBWglt\n27YCX3JyX0uSMLd/m1IfhpH9ZiZJ7KSsqptVhWscq7g1BPMhgv7KhW1bc2l5nkdASHZV7TaNpCyB\nayO0XdcZ2/YyCXzfg2HMzt/WND2V688DyzN3Nl5gsWpEGnxfBOilAdOy0w2yFCQHCz6bb19iZlyh\nbadFUsWg1kJoex6BqvZTE5g8LWKaf5sQN/cITO6H3/SCCSz6X5jJ08AwNIiU+PLA3HXzPzDXdYS2\nnSKet7olsPRCm1If/X4v9ZO/LEvQdW2ivzotLX9RWIEYPfcDRN5YlgXHEYE1ScIq/AktuywsUytC\nlmWYptC20yIJS2CphTbLVc5WoxrnNx4uWJA3vEDMJp+YZVkEpSWNYehCyy4RrFrd4gcsx3HheaIR\nT5qsEpRWaqGtaf2VK5ctCiGDFW4mFSzIG0mSoKrZ358i4XlkrlgEwWzYPBdpXmWBNSpaztLEIsnF\nukkL7m5dVqkqrdA2DB2O4+YQqc0mND+JTipYUBSYtlnc8aUJT7MQdclXxzB0iNi+8rBqoyLHcUXb\n2xSRZTkojLXEexMeSybYtgXTzE+75Vos6yM8uWBBEfB9unJJ1nIjgtJWRWjZ5SKJWhHMxbbZmShp\nQwiBri9u0Sid0CbEzbTi2CR8n+Lcuf/lPo5ZsBxud2PNXVHkvwhKWxahZZeHJGtF2LYtfNspwuuS\nL0qxJc4Qnueh308vtWsRHMeGYZhw3eIHe/G+uZvad5q17xTa9jIILbtcJJnFIsvyxh72s2IZF0Rp\nhDalNOgqlPdI2Fhs20KlIi+cB5kXvHPZpkaUEyKC0pZBaNnlgdWKSNaiJHzbxaM0QlvXF6sBniam\naQ4I6rIIA+6L38R2niw/Ui3FAasosLxsoWWXhTRqRciyBNMsx/5WNCil8H0fruvCtm1YlgXLsmDb\nNlzXhe/7S+1HSgpjTRzTNGHbdiHM4p7nwXWdgY2MEALbtlGv13Mc2fz0+33s2bM372FkDqUsmn4T\nv/sysGJCKIR1SzAdXisijT3ScViVNEWpJv7Z6wKlFIS4QUU5D57nBQVUmFAePvhSSkEpYNtVfOQj\nH1noWoUX2q7rwDTzDzzjjAvy4D5jRamiUinGOKfheQS6rqHd7uQ9lExhQWkGms0WarVa3sMpNJGW\nXfz5vOnw4LO0lBrm2zawvb0nlc8vK8xNasNx7CC2iQ7IKfY8xj+TVaxXhV6RnudBVdXCbBzToil5\n/nYZ4DXKbXvzAtNkuSKC0uZA01RM2nAExULTdKRdi4FrkQJmeej3+9jZOQ/D0OB5BLIsZaZYFkMa\njqFIgWdAFHw27cH4vleaCG1Wo1zbyJQOEZQ2Hd/Pp8WsYHF4o6K0n5XoAMb6GXS7O1DVHjzPhSxL\nuayRwgrtIgWeAfN1y+EabFkEYdQNa7OCs1ilNFW075yApm1yMZ5ykWWjIs8jG9mIyLIs7O6eh66z\nQNa8XbWFFNqWZRaq0hghZO6SqbzLVllgwVmbt0mL9p3jYZ2hhJZdBkwz20ZFZXIBJoHj2Oh2d6Dr\nrElU3sKas9QoNE3D1772NRw9ehRHjhzB66+/PvKan/3sZ7jxxhtx5MgR/OY3v5n7swlxoet6YW4Q\ngIVLplJapjSwza2YJtp3jsJiSCp5D0MwAxZ8pmeeUeP7fmlcgMvieQS9Xi/sW1AkWQQsGT3+9NNP\n48orr8Ttt9+OM2fO4NixY3jhhRfCv587dw6nT5/GL37xC1iWhZtvvhlXXXUVqtXpKQOU+lDVYlQ8\n49i2Bd/3F9I8JAlwXRa4Ua0WP0qZl/pUFAW1WjnS1pKAF+3/0If2C80SPHXREEK7BMTN4pQCvk9A\nCIHv+0H+L8bmAUsSC5iSJDb/ZVkOsl7me+Zsr9DRaNSxboGKlFKYpgHTNDMNLFuUpYT2nXfeGabM\nEEJG8pP//ve/4/LLL4eiKOh0Orjooovw1ltv4bLLLpv6uav0GE0Dz2OBZcts6MyUZGJrSynsw4/D\nGwTs2aPMvYDXAd/3oOsaOp2tvIeSO6raEwK7BDiOE1Sq80AICU3k4/ap0V/RMFbI87wgX5jtcYpS\nQaWioFqdLsQppbAsE41GK6mvlDuu60DTNFDqF0ppHMdMof3888/jmWeeGfjdiRMncNlll+Hs2bN4\n8MEH8dBDDw38XdM0bG1Fm2Cr1YKqqlOvo6oqCCGF0nhM01xpPJLE8ro7nXLkQ0sS27j37t2HdTtF\nT0KSZOi6hkajCUUpfNmC1HAcB47jFCa9UjAKIQSmaWB39/yA9W+1PUoKBbvnsaIgLEumgkrFh+fR\nEQHOI8kbjSbKvk+w2vo6LMvKLRp8UWbuUocPH8bhw4dHfv/WW2/hgQcewPHjx3HFFVcM/K3T6Qy0\nddN1Hdvb21Ov43ketreb8447dVgTeRmyvPpGXq0CjUYjgVGtztbW7HHIMsGePZtVSKFScbF//77E\nPm///nJp7h988AEuuKAch0vOvn3ro+lNggkVA5ZlwfcJKLXRbFYzES6O48D3fciygkajMVKQSFH8\nAeWsbBDCfNe1GlCv5yN7lmk4tZREevvtt3Hvvffi8ccfx6WXXjry90996lN4/PHH4TgObNvGO++8\ng4997GMzP1dVixHgwHLEe0jqFKlpFjqdDiqVfDW5ra3GXPeYUhOGQYKTdDHxfR+EsGYGlEZ+PObD\nowCkUIvgfjxZroT+u9Gygh5Mk6LVWl0Q7N+/hbNnp1uWioRpGuj3e6XSsvfta2F3d33zhnmuPMui\nYXPY8zxompqZNthu12GaLgAX/b4BSZJRq9VQrzcgSUC/b8K2UUp3mmWZQcBzvpp1o7H4vVtKijz2\n2GNwHAePPPIIKKXY3t7GyZMncerUKRw4cAAHDx7E0aNHccstt4BSivvvv79UZSNZQ5Dkai5zc9LW\n1nRrQ1Fg49WgKEph6g2ztDs7ENReYB5cLA2DFfCnkCQJlUoFilKBotRQr9chSaxSWqPRKEUMQlKw\nA2pxqg5uOkxY62Ehp7hQybPgDbsuDSopsj4L9XoDhqFha6s8VjlKKTRNheM4uQvsZZFoQdoevfPO\nO3jvvbN5DwOu60LXk691TilQrSpotdqJfu4izKtpx9m7d19uGzrzs1pwXRZsk0ZddxaIQ6EoVVSr\nCra39+KCCy5c6TPLpGlrmgpd10vhy4uzbpo2961Oqk9h23aQeprdWmy369D18cVUmNiQUKvVsX//\n/lJkyXgeQb/PuhwWZb43GpUR9/IsNjfyZgw85D+NhVG2NDBO1h3BWHEPE67L/WlscaXViIWZ0KWg\nBC2BYbwHx3GwZ88eNBrNwizuNPB9XzQFKQCWZQYlQunY+cZyo81CWYD4OB3Hwn//+x7+7//+X6HT\nRW3bhq6r4XovM0Jox7BtC5SOXzhJwNPAOh2lFN3AAN4RTEW7nW7AieM4sCwDjuOG9yZr8xU3m/d6\nuwBY7ftGo4VOp1OoDTMpyubHXjcIcaFpWqyl5vj5XuQ68NzXfv78ObTbbbTbW4XzcRuGHuZerwNC\naAewVIcsCu+zSVSWqEtWT92GolRRrycfAc8awxvwPKZVF+EwwyraGeh0toJiCzoajSY6nWQ3JEop\nXNcFIQ4I8QH48H0WSMedVjwICZBRqcioVCqo1WqQ5dFgukVgh6TpDXAE6cDbntq2HRTxmPwcHceB\n5xUrFXYYSZLgODYajQZ6vV00m000m/m5ATm86ZTrumsjsAEhtEMMIzu/Hu8GVpQ0sFnwjmAseCuZ\nwDTbtmCakbAu0qKSJGZOazQawfeVAp+iiWazia2t7YWFHaU08NHzYDoXnscalsjy/AcB5oP3AMhB\nIF0VtVoV9XpzoQOFqvaEwM4Bx3FijSemz3lexKTIAptDKcJe9aZpwrZtdDpbuQWyep6Hfr9XimIp\niyKENphPadFSpavAu4FVKpWZpV2LgiRJUNX+yoFprutA1/XQJFjUBSXL7Pvu23cBuNlSlmXYtg3L\n+gDNZgtbW9tT5wzzRRqwbTuocU5jFcekhYQ1h/nklODzaZhW2e/3Ay28jkajOVKlMI5hGEEhIyG0\ns4JFLWtwHCsoIzp73huGkaq7LkkkiR1IarUGKhUZlFL0+100Gq3Mg29d1w3bOpfh3i3KxgvtrMzi\nw7AavgYUZfrGXzSWDUzzPFYu1HWdkVSWokIpq+43XOJUkmSYpgnLMtHpbA1sSsz0qWN393zQxlAO\nBG16ApJ9fgWUIjhUsGDKWq2Bdrs9oO0w4dEXAjtDWInMxdo6uq4DQubrLFgUJEmCZRlotzvBzzIs\ny4TjONja2s7E123bVqbtSvNgo4U232DzXBi6rpemzCnAA9O0cGHOoixF+MfBzeS1Wm0kMpbPGVXt\nwzAMtNvtQOu14DhNuC7JrY53XICzg2EVrVYLzWYrMBkmV4NAMJ14ENS8+wxbM+Uwiw9DCBnIkJEk\nCZT66PV20Wq1Uy3YZJo6DGN9As4msdFC27LM3HP2PI+Uzr9t2xYURZkZmMYaG2gDqVtlQ5aZP58V\nBxr9DoQQqKqK//3v/UJGmstyBb7Puud1uzuwLCs4cJXzeZQFz/Ogqn34vrfw3C9zm1zeMXA4rZX3\n4nYcJyhpnez80zQ1DOxbd4qzu2SM67qwbSf30ywXgsvUoM0LHphGyPgx86hNVe2Vxic3DWYmHyyW\n4jgOer0uer0ePI+gUlHgOA52d3dg2+MLUuSJJMnQNB2O42J3dycw1/p5D2stsW0Lvd7uUgqBbdsg\nhKQ0smzg2RfDSJIEQgh2d3cm7h2LX4v5zh1nMwQ2sKFCm0VlGoV5yPwU6vvl2UR5YNrwxu84NnZ3\nd0Lf9TrAzOSsOhsX1qrag+8PVmnj+3Ov14Om9QolFE3TgO97YXCO6zrY3T0vhHeC8BKZy9YHZ62A\ny2kWj8MKSbFUtXF/A4B+vwvLWq2iHTO7dwvXHTJt1mNXXRC2gRWiemsI017LZxbr9XpgecVcu17P\nqE1Kffz3v/9Fr7cbmDwnLx0mFAm63d0gGC1fWJW50QIdkiTDcRzs7OwEJtlirYky4Xkeej2u8S23\nrY57RmWF91uY/HcZhsEa1Swz7zyPYHd3OWtG2dk4oc1abhYzKpN39ikTvu9jd3cHu7vn10q75vBg\nRVVlGqllLVa7nWlefeQpEDVNmzjfWdMVCZZlhT5vwWI4joNudzUBYlkWPM9LeGT5wlIeJ8+nZc3l\nruui1+ttbDDleu2wM5ikcRQFblaybSfvocwFjwzvdnfgONmnzaUJpayjUb/PfNbcleJ5BLY9v2Bj\n1aLcRP14i2BZ1lzXlSTui9TQ7e7mMtYyYhg6VLW/kquNEDKxUUiZ4fE6vIjQ+New//f7vbkOjI5j\nB+V3kxpl+dgooV3kGr4cnus4zh9UJFh0rBpo1xVYlgXXLcdhYxa8OINljW6k7PlYCz2fuK87y8hg\nnhu/iECJUnR60LTRmAUBgwdArVrTmnf3Kvq+tCwsmnz2nOfBrSzgc7xVyrJMqKpamFikvNgYoc2q\nnpXD/MT92wXpmjqCbdvh4uKbDfdhFf2wMQ1uCjcMDcBkv/yy8QfMDG2i293NxBSq68tvcLIcWQiE\nyXyQyKRLVhYgvOrZOsMKWM2eQ2zOOeh2uyN7tWHoCx9A15WNENosvat85qeiBabxRgeTXAxcmE0z\nhxUVVgq0FzRnmL0sKAV0XVv4OpEm24XjpCcMLcuE6652gOIBhYahod/vrp3PdRm4yySJYEuW3lXM\n+JokiaxTs+cPc9PwqHDmotE0NbBobIS4msna3wXP8wLzU/m+Kht7MQLTmMm4F2gX0+8l11TLgOd5\nwaawmOtEkiJf5DJIEgsQm2YOXBY+55PSSnj7xV5vF5ZVrINklhiGHqRzrf5ZLL2r+O66pOBprYvQ\n63Vx9uwHG5WDPQ/lk2QLwPxF5V0YUWBavmlDlmUFC26+Uoy+z5ojFB3btqGqalCxbfGlsIx/e/j9\nPPI4SS2Wpd0lP+d5P3g23vK6QRaF+68tKxltj1usyqhIrILvs/Ks88BdVVzLFkSs9awxzfL4sSfB\nBIOZS8U03ploUdeCJEVBUEWEa9dsE15NuK0af8DMgRS93u7SWnscVqQnvTnPzfvdbrfU5TbnheUD\n7yRawMMwihuvkiasE5g9cy/jJWBZW005sPKpG3nPxrG2Qtu2bbhu/mVKk4CblrL0KXJzOKuitfg9\n5OZj0yyGeZ8T166TnBurWhYkSQrM5cvndLuuk1mjiayD6vLAcewwHzipe8qyLNbfjz0J3t1wkgAm\nhIwc9rmfW1X7G2XhmcRaCm1CyFqUA4zDUyKyKHVqWVYQBLe6Fso7X+VN3Hedhn8sicI4PGJ7GUFI\nqQ9NyzYdJtK6d1cuSVk0WP51Mv5rjuu6sCxLBFRhfFMU13VnWueY5W89UkuXZe1mTxR4tj4CO06a\nJue4OTzJICbLsnL1y/MUtWV91/OQVPxB3Fy+SHS5qvZXuu4qyDJL91sHrTup/Othkg4OLDvDQZy2\nbc/VJpnXsSiaBS9L1kpo80IF60xaQV6rmsOnwf3yjpPtCZkH/GRldeHfM4kuTZG5fHZ0uWHoK6d3\nrUq8b7JllTNwyPNIUA1u9fzrOFHgmRDYnHgQp2WZC8WXcAuepmkb6edeK6FtGEapOmUtQxTkldzh\nJB4dnhbcl5VVQJ3rOoEPLPlDyDS4sE0iV32e6HLHcRLXCleBx1/0+8XqcjYL5r/uIl4wKAm4wN5E\n4TIP586dG1t5cBaSJMH3vY30c6+N0GYazmYEeLAgL3dlH+qy0eHLwjf0NAU3t7bknd+u68lEu04z\nl/Mo26IIbA7L62ZdmNIsIJMUkf86+ftomkbmB8cywPsWME17tTnC9rD8u+llxVoIbdu2Ydvr1bBi\nFrwn8rITPk1z+DTSFNy8ZnhRonOTdGMMR5cz32uvcAI7jiQBqrpaRHyaUOrH8q+Tv4/cJVSEuVgk\nuH+fUhpozP5KLhXullp31yin9EI7yzSXosG76CwanW1ZZiLR4cuStODmRXR4kF5R5oLv+4kGDvKO\nYd3uLrrdbinMz/Ea5kXoLc4hJIrST2O+cEVCRIoP4rruSBAZTw9dpeEQ72GvqmopyygvgrLMmzRN\nwwMPPABdZxvvN77xDXzmM58ZeM0jjzyCv/zlL2i32wCAJ554Ap1OZ/URx3BdZiIusraRNjygAwDq\n9cbU1/o+SwvyPC/3e8YFd6vVRrVaXfpzCCHhqb1oGyTbjLzweyb1mYahw7YdNJtN1Ov1RD43TbhM\nVFUV9boT7AP5zT/TNFON5OaKRN5rrGg4jj3R8sAUEBuSJENRlhJLYT63pqlotVor7StFZqm78/TT\nT+PKK6/E7bffjjNnzuDYsWN44YUXBl7zxhtv4Cc/+Qn27t2byECH4Zt1UbSqPJlHcLuug27XSLyo\nyCqsKrgtywzdIkX5TsOwVDCmXTSbrZU/z7bZxseLm3iei1Yr2cNwWkRdnHbR6WxBUbLdVFkMhxre\nvzQQisQolNIwUnzaOuVm7larBVmuLH09frCt1xtoNKYrMmVkKaF95513olarAWDCc/i0TynFjvxn\nbgAAFLFJREFUP//5T3znO9/B2bNncfjwYdx4442rjzaAl8gs6kadB5MENwv4MOG6Djqd4k1gLrib\nzVY4p2bBfWJFOoBMg0eBS5K80ibCYhgiVxAzCXro93tot9uoVJbTULIkCqzrodFoBJa49J8hISRW\nGjNNgS0UiTisMYoFSudbq7y+favVXuk5cdchISQ4BBTLCrcKM1f5888/j2eeeWbgdydOnMBll12G\ns2fP4sEHH8RDDz008HfDMHD06FHceeedIITg9ttvxyc/+UlccsklKw+YV7YSC2MULrgpBRqNRpga\nNu+CyYt4acNZ5t4yaNfj4JsIgKUEN9fghr8z/1HTtFJpFrIshaWG09a6eQyHLKc3Z4TlbxRCXFiW\nvXAZWEkCTJNZ4Fa5n1Fa2HqZyyW6ZF7KW2+9hQceeADHjx/H5z//+YG/+b4P0zRDf/b3v/99XHrp\npfjyl7888fPeeecdqKo69ZrstCwE9jzwfPUynTAppWg0Gmg2myN/YzWJy6NdT2Lad5wEIQT9fn/m\ns6SUolKpoNPplO65N5tNdDqdxHOke71e6hHcYl8ahVdBXGUeSpKUWBwUVwhardVdVEniui6uuOKK\nhd6zlD3t7bffxr333ovHH38cl1566cjfz5w5g/vuuw8vvvgiCCF47bXXcMMNN8z8XFWdHAXNC8mL\nhTEdz/Ng2zY8z0O1qqDRiIRDu12Hrhcngnccum6jWjXCwC1KaRAhX56Uvln3Wddt1GrWXIJ7mXnf\n75toNBqlCFLjqKqNc+d6c2vd+/a1sLs7ORffdR1omhqmFaUFi1fILxMjTZbZL5j/2kwsKt80HTSb\nrUQ+S9cddLsaWq0OKpViHGobjcV990sJ7cceewyO4+CRRx4BpRTb29s4efIkTp06hQMHDuDgwYO4\n/vrrcdNNN6FareLQoUO4+OKLl7kUgGhhlGXTzgte+1qSJMiyBEI8mKa5kFaXNzx1Q9M0NBoNGIZR\nePP+ojAftw1K6dST/7KxG5KEsJ1rWfx5cV93vV5fOsKcF9dhjTnSdaEIH/YgzH9tAEjuvvMiLElk\nX/A5pml9NBrlyLwYx9Lm8aR555138N57Z0d+77rOWF+eIML3fdi2NfZ0SynzHzabLXQ6jcJr2gDX\nrm0QwiKjyxaJO6+GQimFoihot0dNgElZlpg5vlwbFKVsg223O6jVxo97nKZNCAkaw6RfMMi27bXr\nJDjMIpq2bafbclSSpMQ0biBae81mvofaRqOysHm80Edw1vlFCOxpsEPNZF8vP10ahp5II4u0YdqL\nFpakZf8u/riXQZKYNWS4chpvUZjEvOdpNEnVQ8+CeF43r9o3C8PQ0et1M7HK2LYFyxL7EhBlcqRd\nhZBr3EnpmKzULgtSK1urz8IKbdM0UisvuA7wxbKIr5elfmXTsGNRPM8LnrmFuHktrw5hWSFJUQ1x\nz/PDQ1iSGyCPotW0fiF6m88Lc/GQqf26o79ns1cYhhE0uCjs1pkZrIiMkXrcAIcrH76fnHGYuZJY\nNcWyNJsqXGIn64qjz0zE31QopUFlIXcpnx03oxclNYh/H35SH7fxch8wH/e6zQtuDdnZOQ9ZllJL\nTeEpgY7jotVqliKvG+C5u0xYttsdVKu1cAPnlcfSnhO8W5do/oGgVriVed8CjmnqaDabKxVgiRNp\n3eXwdRdq1fLAm6xObmXDdd0wgGlZrYKZZAkMw0Cj0czVkhH/PrOeN9cWDUNHo9FEpZLMgi0KlmWB\nEG4FoahW5ys0syiSJAWlHjVUq7XCpcBMgo2bQlX7AADXbYTBZmnDrFpa4Gvf7H0pHuya570wDAP1\neiPRAy636rkui1gv6h5TGKFt23ZYNGXTF8YwnueFmmYS94fX6GUCsJ55OUmWlmaFfvhFv49pGqhW\na4U/Ec8Dr1gX11pYEJ6XatQ/i9J30e/3UK+XIz2M138gxIXnWXBdpJ4ZwQLOjI03hw+v2bzhxYp8\n35vZc2HRz+U9Gmq1WiKlh5OmUEK7CJOhSPAoatddzhQ+C+bPsaAoZCCfOy3Y4cMJXR/Lfh8ucDyP\nBNaCcm6ok1JkuLlO17VEzYDD8EuymAEbzWZr6WYNacLXAe/7zv9jbhUH9Xo90Y2bX9M0jcBtU875\nlQRp70GrwPcB36eJu83Y/HLhuj3U603U6+lYvpaheCtUAEopXNeB6zphylZa8AhmXWdlMNPYtNNY\n+PGo+FqtPnfd8qIwreMREAlUZgasp2YuZ9eSQp+toiiFcj84jgPbNuH7oy6U6NBhwXEc1OuNROYB\nIQSmqY+95ibBMznS3oNWIe42S3r/iuaXAcexCxMHkv8IBAMM+3mz2DPiGhfftJMgnm8NpLPweTMO\nQlw0Go3UtNKkWLRiFDMD2kFjnnRjELiGr2lq4H5o5FY5ynXdsDOULMtT7xU/dJimAdu20Wgs5+vk\nz8a2ncJplVnCTeGep4BZgfIe0XxYlolqtZq41SUeB8L2x1auFdWE0C4ITFg7YZ5pHhtGXOuu1epL\nB3kMC+u0v0ukdRtQFAX1ejEjzF3XDdxAizZQYH42w9AysSqweeDCdR1Uq7XgMJTNJkUIgW2bIMQL\nsgnmvy7fXFmv7MpCwpu3T10lyLPsJB07kzW8mqLn6akc4KNDbT84HDRzEd5CaOfMqGad70Lhl2dt\n7VzU6/W5J7/neXBdJyyGkvV3ifuCi2QyH94MlyVuVajV6qn7n7nwVlUndc2bCWsrcKFM16xnMSi8\nZdRq9YmBdvywRwhrnZr3+suDpGJNikD8AJ+G1s2uwTJwXLefi0VKCO0ciHzWbmGE9TCRdse011qt\nMVED4YuekNU33CSIhJuDanV5i8GqsBx0FpuQ1DPmm5JlmahUmFUhbc0wrnkrShWNRiMxnzc7tLK+\nx5IkJ6rRc7M5C7SzUK3Ww/oEo8FtmxdsVrR1myRc6yZEQ72eToZMmutiGkJoZwjTRN0Bs3HRFwrX\nXg1Dg6JUUa/Xw82QEBeO44Ym/SJFcTPhxiwGjmOvZO5fhkVy0JchCsAZfC5pwuYCq+9dqSiBNWM5\n3zE7zNjwPD91ocnmK0IhzSphFvOwnAXDlp8irdskiQcqViqLWQ0Xu060LpiCk+5eI4R2BriuG6Yo\nlfVEyycma58qBabE4h88otxnLrxrqUZiu64LTXMH0pPShD8XXXczFd6+78E0ddi2hGq1Ptd12aHV\nDg562QtNQpwgboSVwZRlBdWqkpslJkvih2zf9zcq0C5uNWTWqXoqB5VIweFumVoq5nkhtFOCa9We\nR8INqqwnWrbgCTyPBMUVZFBKUalUUK1WS/G9IuHtwLad8ESclGk5CiT0UKlkHwg3KLz5d0v3uQxr\nsIqioFod1L6ZK8iF69phcBl/bxZMc0VR6sG2Wf95RamgWq0VJtUtKaJ9yA0rum1qoF08PYwJ71pq\nmjdzy9hBHYxqYKJPRtwKoZ0g3OwXCbdsN6gkiQS1F3RZ4kUtmCDgp1dWSlKGolQyr6y2DPxRxAWc\nolRRrS6+FMYLhHwPMPHTfqWy/Hdb7JoAwK5LiA7LksDmCwWlyEWrjoIiPUwzhUfzwQMhBmRZgiwr\nqNVqpTiMjoPPS0Li+1B5UrfSJhLeRrBG0rG2ROuC7TWyLKFSqaFeX+1wKIT2ivi+H1TlIaEmUXST\n8SRmCepx8FOl4xA4jotKpQJFUUqhscgyW7y2TeA4UuCnrc48fcejbYFiugj4xjT43dIVRISQoMQo\nCQuTSBK7drWqpF6YgpuA2XrkvnIAmO/ZcMuB5xEYhhsK8Gq1Wvj5zL47O6SwfaiY87JIxNeI69qo\nVKqoVmup1ZOglLloXNcOFJ0qqtXFa2IIob0glNLgVE7g+yQWSFNO87fneaGQ5i3vltEY+ebo+35Y\nkrZSkVGpFF+A841t2mbNzYzsmdPS+ARHvxvbLBSluvLmxIUkWwteoFHLAAZNsJ5HwuBLptkwq0wS\n9y8+Bs9jfbeTEFZxAZ7W2Fclvg8R4oeCelPN38sSCVQWCZ72c+aKjus66Hbthd8vhPYMKKXwfR+E\nuPB9D55Hwc1tAEolqPmBgwlpP+wfm7QZPxIUPgixAXABzoR4ETa8ScQ3a94ggZt3q9VqqTfF+Gbh\nOOy0L8uVuTXJ4diGwSIc0wUl/xvTbDxYlo1KhV2fW2fmnRf8YGiaRqKCet6x27YdHOz42LMR4tEB\nxYsdkvg+VM45WTQi7Zs9Z650KIqSWvDaogihPQRfGJFgo6DUDx/YIua2vOGbLKV+sMk6sG2SuJCe\nRrTh+fA8HwCvPy4Hm7ZSmA2HWxw8b/RAw07iJNisWT5x0Q8g0+ACfFiTrFQq4X/sfjAtjlJ2YOXa\nHLD8gZV/RnR9EqTlSJCkChSFXZ+7KdjccUGIHworSmu5dJzi658d7JgpmgtxSaoM3L9ViJQFEljB\n/JGueGWde2UgshyyPYEdcqP5mae1ZWOFNl8UXGvggi3IBoktDOQeXDQL/l34f+y7MItAXAPK28cV\n3/AojYQ4dy2w4hoSKpVK6uOMDjQ0dt9o7HA2rjkF36x9EDI8dinUXMsIExBWcC+YqyTSJtM9XEVC\nHPB9EuYQ84MTgFCIVypy7vM4zuCc5hs8Tyljm3x0yKuMPegMW8CivYgOvL5MVr11g8/PeMbB4EGN\nrf0s5uVaC22+GLiAYCd0vigASaJDArm4EZbDwoV9DzpWOANc6BT0ywTErRZsg/bBKqA6ABBq5EyY\nI1wU8y4Mdp9oKIT4fUviQDM6dgSRyg4AAschK409aRabP5ELIHpP1PRl1e/Fx8KfxbTnwuH+2+gz\nCByHFweRAMihQM+buHWGC3Lf5/PQHxD07N80PBQV5YAtmMykgxqlCK1FPKaHH+STfJalE9rRRuyH\nG09882E/I/wbv8GDN00CO7Tmtyh4gQe24dNw8+J/i//HNjJg3GZWBuG8CHFhyJ9jJMzdgdfxTY8/\nc6axAZRK4PeM56ZmcaCZNHbPQyj0AMQ25yjTgL1XDrT2+Uyf8TnCDw7D8yb6N7DK/BkUROO/F7dK\nsb8jfH10TQpejWyZ5xJ/bfw7s3HQgdcN3tfl7/E0+D3mLjSe3jbt/g9/D/Y5ABAdSCbPj8iqM+5z\nBPnBnxEX5MDovOSaOX99pSIjZkyam8IIbRZYYoabMJvwUrgBxAUaMDt4ap6TavyGjvlraCqPvy4a\n2/jXjn/f4GYVCWFg0kKOf4+iC+Xp95Hhj52dwxsa/1kC4AfCl79u9P/8lg1u5qNX4VbF0XsZaZZc\n4A8SP9yNfwbD85H/bnjOxH/mt2L4vvGNP/gpGkU4bhoeRKPXRVrx8BgG10D8/g6Oa3DuTZrbo89l\n0vwefi7Tn8mwyZcLK/73ob8G3ymyGIx++PB3ir9u3D3nnxl/X3QgHBxDdIiOv04aELSjDB9Mhr/T\n4Gu48B/cJxB7DsPv5/M3un50meh+Dl46blUZ/Jm/f9z9FQeFxRjem7hAB5hQl6TFpXZhhLamaeh2\nz+U9jNxYZjHMIyzjuO7s1wwTbWKTrzUrajgu2Mb7ioG4NYH9frZvOP554/x9yWhSo7+Lb/B8046/\nlhCCSiUuPOKbafKb3qLzIGJUWJUB7vZisV7zWCQGDwdZxEvE/z18KFrt+tPeOyroo3EgTOkcPUSO\nFxyGMXtujTu0xn8fjnqOfWQTWeZ+SFTcRYFAIBAISoEIRxQIBAKBoCQIoS0QCAQCQUkQQlsgEAgE\ngpIghLZAIBAIBCVBCG2BQCAQCEqCENoCgUAgEJSE3IU2pRQPP/wwjhw5gttvvx3vvvtu3kNaOwgh\nePDBB3HrrbfiK1/5Cn7961/nPaS15fz587jmmmtw5syZvIeylvzoRz/CkSNHcOONN+LnP/953sNZ\nSwghOHbsGI4cOYLbbrtNzOWE+dvf/oajR48CAP71r3/hlltuwW233Ybvfve7c70/d6H98ssvw3Ec\nPPfcczh27BhOnDiR95DWjpdeegn79u3DT3/6U/z4xz/G9773vbyHtJYQQvDwww+j0WjkPZS15I9/\n/CP++te/4rnnnsPp06fx/vvv5z2kteSVV16B7/t47rnncPfdd+MHP/hB3kNaG5566il861vfghtU\nujpx4gTuv/9+PPvss/B9Hy+//PLMz8hdaL/22mu4+uqrAQCf/vSn8Y9//CPnEa0fX/ziF3HPPfcA\nYNWPFKUwhfDWikcffRQ333wzPvzhD+c9lLXk97//PS655BLcfffduOuuu3Dw4MG8h7SWXHTRRUGj\nJQpVVVGtVvMe0tpw4MABnDx5Mvz5jTfewBVXXAEA+MIXvoA//OEPMz8j991b0zRsbW2FPyuKAt/3\nRRu6BGk2mwDYvb7nnntw33335Tyi9eOFF17AhRdeiKuuugo//OEP8x7OWrK7u4v33nsPTz75JN59\n913cdddd+OUvf5n3sNaOdruNf//737juuuvQ7Xbx5JNP5j2kteHaa6/Ff/7zn/DneEHSdrsNVVVn\nfkbukrHT6UDX9fBnIbDT4f3338cdd9yBQ4cO4Utf+lLew1k7XnjhBbz66qs4evQo3nzzTRw/fhzn\nz5/Pe1hrxd69e3H11VdDURR89KMfRb1ex87OTt7DWjtOnTqFq6++Gr/61a/w0ksv4fjx43AcJ+9h\nrSVxWafrOra3t2e/J80BzcNnP/tZvPLKKwCA119/HZdccknOI1o/zp07h69+9av4+te/jkOHDuU9\nnLXk2WefxenTp3H69Gl8/OMfx6OPPooLL7ww72GtFZdffjl+97vfAQA++OADWJaFffv25Tyq9WPP\nnj3odDoAgK2tLRBCJjYVEazGJz7xCfzpT38CAPz2t7/F5ZdfPvM9uZvHr732Wrz66qs4cuQIAIhA\ntBR48skn0e/38cQTT+DkyZOQJAlPPfUUarVa3kNbS8rUMatMXHPNNfjzn/+Mw4cPh1kn4l4nzx13\n3IFvfvObuPXWW8NIchFcmQ7Hjx/Ht7/9bbiui4svvhjXXXfdzPeILl8CgUAgEJSE3M3jAoFAIBAI\n5kMIbYFAIBAISoIQ2gKBQCAQlAQhtAUCgUAgKAlCaAsEAoFAUBKE0BYIBAKBoCQIoS0QCAQCQUn4\n/9BBE/JV7MXFAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1782,9 +1553,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## Random Forests" @@ -1792,10 +1561,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Helper Code\n", "\n", @@ -1804,12 +1570,8 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 54, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1908,28 +1670,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Decision Tree Example" ] }, { "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 55, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk4AAAFFCAYAAAAadmKrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1977,28 +1732,29 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Decision Tree Levels" ] }, { "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 56, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/matplotlib/contour.py:967: UserWarning: The following kwargs were not used by contour: 'clim'\n", + " s)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABHIAAADSCAYAAAAmGOcRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2027,28 +1783,29 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Decision Tree Overfitting" ] }, { "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 57, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/matplotlib/contour.py:967: UserWarning: The following kwargs were not used by contour: 'clim'\n", + " s)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABB8AAAFtCAYAAABP6sLFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4A+byZI8PwAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2068,32 +1825,22 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Principal Component Analysis" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Principal Components Rotation" ] }, { "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 58, + "metadata": {}, "outputs": [], "source": [ "from sklearn.decomposition import PCA" @@ -2101,12 +1848,8 @@ }, { "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 59, + "metadata": {}, "outputs": [], "source": [ "def draw_vector(v0, v1, ax=None):\n", @@ -2119,18 +1862,14 @@ }, { "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 60, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABDYAAAGJCAYAAABxd7NLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKZBY2uqjc7wAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2169,22 +1908,15 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Digits Pixel Components" ] }, { "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 61, + "metadata": {}, "outputs": [], "source": [ "def plot_pca_components(x, coefficients=None, mean=0, components=None,\n", @@ -2233,18 +1965,14 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 62, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAChCAYAAABtV+bDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAHopkDAAAAAAf6P1QpRwQf0IzUAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2265,28 +1993,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Digits PCA Components" ] }, { "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 63, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3QAAACeCAYAAAB6p0jCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl8jWf+P/5XiCARJIQQofYg1lJriSFq7EsNn6Itna6q\nOp0uun21UzM6Wm2VKqV0EJUOVaZVamvGUiX6MIQSsZREEhGJhCRCcn5/9HeOnOS+3vfZT+7k9fyL\n8z7Xua77fa57uU7u+7p8TCaTCURERERERGQ4VbzdACIiIiIiInIMB3REREREREQGxQEdERERERGR\nQXFAR0REREREZFAc0BERERERERkUB3REREREREQGxQEdERERERGRQXFAR2Qg6enpWLx4MeLi4jB+\n/HgUFhZ6u0lew1xYYz6sMR/WSucjPz/fkpP8/Hwvt87z2D/uYi6sMR9kRD5cWJzKu+LiYkydOhUx\nMTEAgDlz5uCRRx5BixYtvNwyz8rPz8fUqVOxfPlyBAUFIS8vD0VFRfjpp59w/vx5PPnkk95uosdo\n5SIjIwOJiYk4ffo0Bg4ciA4dOni7mR6jlY+srCwcP34cZ8+eRVRUVKXPh7+/PwDg3XffxezZs73c\nQs9S9Y8ZM2agU6dOmDVrFurVq+ftZnqMqn9s27YN/v7+uHDhAh5++GFvN9MjtHJx+PBhLFu2DP7+\n/vD19cXSpUu93UyP0crH7du3cfToUQBAcHAwOnbs6OVWEpXl6+0GeMLcuXMRHx8PAEhKSkJ4eDiq\nV68OHx8fxMbGws/Pz8stJMnRo0fRtGlTy//j4+Px9ttve7FF3rF161ZERkYiKCgIACwXqB06dEBi\nYqI3m+ZxWrnYs2cPunXrht69e2POnDlYsGCBl1vpOVr52LVrF0JCQtCiRQtcuHChUg3oVPvKpUuX\ncOrUKW82zSu08pGVlYVFixYhPDzcy63zPK18HDx4EA0bNkTXrl3Rv39/L7fQc7RyERYWhnXr1iEj\nIwOpqalebqFnqY6loaGh6NChAzZu3MgBnYvcuXMHUVFRaNeuHZYvX+7t5hhepRjQvfHGG5Z/Dxo0\nCAsWLED79u292CKyx969e9GnTx8AwOnTp9GyZUsvt8g77ty5g3vuucfy/8TERKuBbmWilYtJkyah\nRo0aOHv2LJo0aeK9xnmBVj6io6Nx+fJlxMXF4YUXXvBe47xAKx/h4eFITk5Go0aNvNcwL9HKR2Bg\nIA4cOID4+Hh07NgRrVq18l4DPUwrH9999x169+6NnJwc1KhRAz179vReAz1IOq/Ex8fjj3/8o5da\n5h1a+ejZsyemTZuG1q1bV7pjqTvt2LEDEREROHHiBM6dO1fp7rpytUr3DJ3JZELJu0w7duyI559/\nHn/84x+RkJCAiIgIZGdnW+Il/79nzx786U9/wrhx4/DQQw9Z/gRP7rVv3z60a9cOABAXF4eePXti\n9+7dXm6V5w0fPhyZmZnYs2cPfvjhB6SlpaFGjRrebpZXSLnYuXMnnnrqKS+30LNU+WjRogWGDBmC\nRYsWebuJHqWVj8TERHTq1MnbTfMKrXw0atQIEyZMwJgxY7BixQpvN9GjSuZjx44dSE1NRbVq1RAR\nEYEBAwZg3bp13m6ix6iOHenp6bhz5463m+dxWvk4d+4cXnzxRYSGhmLVqlXebmKFsW7dOkRHR2PY\nsGH44osvAACHDh3Cgw8+iBkzZmDUqFGYOHEizp07BwB49dVX8eqrr2LixIkYMmQI3nrrLRQVFQGw\nvpY/ceIE4uPjMXHiRIwePRoPPvgg9u7dCwBYvHgxJk2aBJPJhIyMDNx///04dOiQV7bf5UyVzMCB\nA00JCQmW/7dt29a0ZcsWy/8jIiJMWVlZZf5/4cIF04gRI0zZ2dkmk8lkOnPmjKlv376m/Px8zzW+\nErp27Zqpd+/epqVLl5r27NljWrVqlWnRokWmvXv3ertp5UZycrJp0aJF3m5GubBr1y5Tbm6u6fz5\n895uitfNnz/flJSUZDp58qRp5syZ3m6O13333XemHTt2mB5++GHTwYMHvd0cr1u9erXp119/NV25\ncsX08ssve7s5Xrd+/XpTUlKSyWQymV544QUvt8b7Nm7caDpw4IC3m1EufPjhh5Z/L1y40IstqTjO\nnDlj6tSpkyknJ8d07NgxU5cuXUzZ2dmmn3/+2dS+fXvTkSNHTCaTyfTll1+axo0bZzKZTKbZs2eb\nxo4da8rPzzcVFhaapkyZYlq7dq3JZLK+ls/KyjL16dPHdOzYMUtdPXv2NCUnJ5uKiopMU6ZMMS1b\ntsz06KOPmpYtW+aFrXePSnHLpZ57773X8m+TYo6Y/fv34+rVq3j00Uct7/H19cVvv/2Gtm3beqSd\nldH+/fsxYcKESjXhhz1u3ryJ7du3IyEhAWfOnEHr1q293SSv2bFjB5YtW4a1a9eiR48eePrpp73d\nJK+Kjo7GhQsXcPbsWcycOdPbzfG6YcOG4dKlS7h9+zYKCgq83Ryvi4qKQlJSEg4fPoznnnvO283x\nupEjRyI2NhZHjx6tNBOiSG7evGl5jqyyGzp0KGJjYxEaGmp5/IOcs379egwYMACBgYHo2LEjwsLC\nEBsbiy5duqBt27bo1q0bAGD8+PF45513cP36dQDAuHHjLHfjjB49Grt27cLkyZMB3L2W/9///odm\nzZpZnnVs1aoVunXrhkOHDmHs2LF47733MGrUKHTs2BFPPPGEpzfdbTigw90H5s3MA7bbt29bXisu\nLkbv3r3xwQcfWF5LS0tDw4YNPdPISuro0aMYM2aMt5tRbgUEBGD69OmYPn26t5viddHR0YiOjvZ2\nM8qNLl26APj9uWH6XXh4eKW6nU4SHh5eKSdEUfH398e0adO83YxyY+rUqd5uQrkRERGBiIgIbzej\nwsjPz8c333yDGjVqYNCgQTCZTLh58yZiYmIQGRmJqlWrWt5r+v8fkzK/VjpW8v/ma3mtP8wUFxdb\nbiFOSUlB9erV8dtvvyE3NxeBgYFu2U5Pq3TP0OmpV68eEhISAAA//PCD5fVevXph//79lnt54+Li\nMHr0aNy6dcsr7aws3njjDURGRnq7GURERETkpC1btiA4OBj79u3Drl27sHv3buzcuRN5eXnIzMzE\nr7/+apm5OzY2Ft26dUOtWrUA/D4LaWFhIW7duoVNmzbhD3/4Q5nP79y5M86fP4/jx48DAM6cOYMj\nR46gZ8+eyMnJwcsvv4z58+dj+PDheO211zy34W5W6f5C5+PjI/7/9ddfx9tvv43atWujb9++CAkJ\nAfD7n2z/9re/WWY4qlq1Kj799NNKOykFEREREZE91q9fX+av4YGBgZg6dSr+9a9/oUGDBvjwww+R\nnJyM+vXrY/78+Zb31axZE5MnT0ZOTg6GDh2KcePGAbC+lg8KCsLChQvxzjvvID8/H1WrVsW8efPQ\ntGlTzJo1CwMHDkTv3r3RvXt3TJgwAV9++SX+7//+zzMb70ZcWJwcUlBQgISEBISEhFj9ybuiKCoq\nQkZGBiIjI20atDMf1piPuyp6LgDmozTmwxrzcRePpdbYN6zZ2z8qmkOHDuGdd97Bf/7znzKxV199\nFW3atOGt0QqV7i905BoJCQmWB1ErspiYGHTv3l33fcyHNebjrsqSC4D5KI35sMZ83MVjqTX2DWu2\n9g8iMw7oyCHmW1FjYmIQGhpaJl5cXKwsu337dmVs1qxZDrdp7ty5ytiwYcOUsYCAgDKvpaWlYcqU\nKZbt1GN+34ABA8pMsgNAnFUvJiZGGZMexNZbU+vy5cvKmLQ4e7Vq1cq8lpeXhx9//NHufEyaNEnz\ngWNpfaOsrCxlTJp1LTMzU2yTlA9pcqMGDRqUeS03NxcbNmywKR/m98ycORN169YtE69evbqyrPQ9\nAWVvGS/ps88+U8b27dunjOlNoqL1TOv169fx2Wef2ZWPBx98ULNv1KxZU1m2V69e4mdr9V2zgwcP\nKmONGzdWxvRmxExOTi7zWm5uLtavX29XPqZPn446deqUifv5+SnLavXNkuLj45Wx4OBgZUxaVFva\nPwHg4sWLZV67fv06VqxYYVc+Bg8erHks9fVVX7Y0adJEGUtKSlLGpD4HwGpt2tKk5+hr165d5jVH\nj6V/+MMfNPMh0Tq3mZWc9K00vclyqlRRT79w5swZZcy8ZlhJeXl5iIuLs6tvPPzww5q5lfLTo0cP\n8bNTUlKUsU2bNiljWn9JMtO7ja9Zs2ZlXsvJycHatWtt7h8VzX333afM6bx58zzcGmPhgI4cYr7d\nITQ0VPMkqnXgNpMuyp1ZyFTrYshMumCTZjiy9bYO8/v8/f01T6LSCVDKlVS/3kWIdCEonfikcvbm\nIzAwUPN7kS4mpJjWSdxMb4Ii6fYV6cJHqtOWfJjfU7duXc2LaOl71PqxpCSpX0nfsTQQlHIByPuv\nPflQ9Q2p3Xr5kAZ0Urvr16+vjOXn54t15ubmKmP25KNOnTqabZQG/HoXfdKxTevHBTMpz9KACnBd\nPvz9/S0TIdhav7RNUr/W6/OFhYXKmLQPSp/rqnOLtC9r5c9M2ia95Qoc3WZHz3Wl31O7dm3N71qq\nu1GjRuJnS/mQjknSU0t6/UrqrxX1llJyH+WRsTLcq0zWKvu920RERERGwOv0yke6TlcO6CrTvcpk\njfduExEREZVfvE6vvLSu05UDOr1npNzN2fXdli9f7lT5FStWOFV+yJAhDpctOUWrJ6WlpWHy5MmV\n9t5tIiIiIiMwX6utXLlSfA5cIt2yq0fv+WI9S5cudar8yZMnnSo/YsQIh8sOHDjQqbql26El6enp\nmD59uuZ1unJAp/eMlLs521EcTZaZNKmHLZy5ZdEb+S7JFX+6v3r1qjI2Z84cZUy6x75Dhw5indKk\nB6NGjVLGpOdM7FVcXKzZd44ePaosIz2jIw3u16xZI7Zl9+7dylirVq3Esu4mPa8gTXxx9uxZZeza\ntWtinU2bNlXGpH6n9byIMyfB0qQfzKTnkQD5OClNbrJ582ZlTNp3Ae1td2U+pOOf1iQCJcXGxipj\nGzZsUMbMaxlp0TuWa/UdqT/ZS3o2+MaNG2JZ6dlhacKULVu2KGN//vOfxTq19hfpmSt7SZ91/fp1\nZaxz587KWFRUlFineYFiLVKu3J0LPVJd0sWw3vWX1sRIZtKx3d23BUrn8vXr14tlpcl+HnzwQWVs\n4cKFypjesVRr0jO9Z1RLMuezYcOGCAsLs7lcSc4cu/WeL9aj94yhHumZaVtIx1Y9es9k6nH2ulNr\nX/LckYWIiIiIiIhcigM6IiIiIiIig+KAjoiIiIiIyKA4oCMiIiIiIjIoDuiIiIiIiIgMigM6IiIi\nIiIig7J9flQiO0jT2dauXVsZe/PNN5UxvaUksrOzlTFPTRVdpUoVzbqktf2++OILZUya0l5algCQ\npyyX2qM3FborSEsIdO3aVRmTlqbYtm2bWOdf/vIXZSwoKEgZy8nJKfOaK6ff1vp8M2kqbUCe4r9N\nmzbKmLQcgp+fn1in1rTarsxHcHCwMqa3NMWTTz6pjEnHj/bt2ytjrVu3FuvU+lyTySSWsYc0tXbz\n5s3FspmZmcqYtGzBzp07lbGRI0eKdWpNRe7KfFSvXl0Z05oG3qxbt27KmN7yIHl5ecqY1F9duXyF\nitR26Tws9XlpmwDgzJkzDtWp1Zddeez46aeflLFNmzaJZV9++WVlTFrmZ/DgwcqYdC4D3L8EDFUu\n/AsdERERERGRQXFAR0REREREZFAc0BERERERERkUB3REREREREQGxQEdERERERGRQZXbWS6feeYZ\np8qvWrXKqfKffPKJU+U/+OADh8vu2rXLqboHDRrkVHkiIiIiqticmVXzjTfecKru48ePO1V++PDh\nTpXfvHmzw2X79+/vVN2BgYFOlddSbgd0ZGzSMgHSVPynTp1Sxi5cuCDW2a9fP2VMmkrZE1MHR0VF\nKWPR0dHK2N///ndlTG8K9z/96U/KmL+/vzKmNQ22K6cdB4D69esrY9JU37/++qsyJk3RDshLJUhT\noUvLCrjCiRMnHK47LCxMGTt58qQyduXKFf2GKWgtW6D1mqOkKeLPnTsnlo2MjFTGpFxKS3VIS1ro\nlXUFKbd6batbt64yJv3wJ+VK7zistXSAK6fvl84tUrulY8fXX38t1llQUKCMScvDaB03PbWEDgAM\nGzZMGZPOSdLyMIC8BIDU51x9HilN+i6k5QUA+XwqHaMXLFigjOktAXP48OEyr3liqQuqmHjLJRER\nERERkUFxQEdERERERGRQHNAREREREREZFAd0REREREREBsUBHRERERERkUFxQEdERERERGRQHNAR\nEREREREZFNehI7eQ1tq55557lDFpjaObN2+KdaakpChj0jp0ntCpUydlTFo7Z8qUKcpYz549xTrT\n09OVMXevraZHWlvr7NmzytjWrVuVsVu3bol1SmuUSWuJ6a195qzCwkJlLCQkRCwrremYkZGhjHXt\n2tWhz/SEq1evKmPS+oUA8OijjypjP/74ozImfccdOnQQ63T1mpWlHThwQBnbtm2bWLZ58+bKmLSG\n4YgRI5SxI0eOiHW6m7SW2d69e5Ux6dghrX8KALVq1VLGHnnkEWVMb/91BWkNTelcq7XeqNm///1v\nsU5pu6Rzv7vXbJTWom3fvr1YdsOGDcqYdCx96623lLGLFy+KdRK5Ev9CR0REREREZFAc0BERERER\nERkUB3REREREREQGxQEdERERERGRQXFAR0REREREZFBuneUyOzvb4bKrVq1yqu4XXnjBqfLPPPOM\nU+WvXbvmcNmffvrJqboHDRrkVHkiIiIiqticmYlzyZIlTtW9ceNGp8qPHDnSqfKHDh1yuKw0S6wt\n3DE7MpctILeQpnkODg5Wxvz9/ZUxaQpmQN7B8vLyxLLulpaWpoxJ7W7SpIkyFhQUJNa5fv16ZezK\nlSsOf64rSD/2SFOtSwfBgoICsU5pqu26devaVacrD8ZSvvv27SuWrVGjhjIWHx+vjEnTe48aNUqs\nMzk5WYzbQ2sKemm5DT3SkgudO3dWxr755htlLCEhQayzTZs2+g2zgclk0syHdOx4++23xc+Ulh/4\n29/+poy1atVKGbt8+bJYp9Y2SEsN2CswMFAZGzZsmDImLWsyd+5csU6p/VIex44dW+a14uJisS5X\nkvalTz75RBn74IMPxM9dsGCBMiYdS/WWHrJVlSpVNJdHkJbj2b9/v/iZ0nlHOl/t2bNHGdM7JxG5\nEm+5JCIiIiIiMigO6IiIiIiIiAyKAzoiIiIiIiKD4oCOiIiIiIjIoDigIyIiIiIiMigO6IiIiIiI\niAyKyxaQW9SsWVMZk6YW/uWXX5SxatWqiXVK07/fuXNHGdOaRtqV02wDwM8//6yMffvtt8pYdHS0\nMla9enWxzu+//14Za9u2rTLmiWULMjIylLGIiAhlTGsacLOAgACxTqlPSlOxu3sa9gYNGihj0rIV\ngLwvSdOHS0sTtG7dWqxTa41NVy4LojUduZm0LAEgL+MgLT8grRsqLRsAAM2aNSvzmjRFvr3Cw8OV\nsfvvv18sW7t2bWVMOn6kpqYqY9LSMgDg61v2skLrNUdJ0/5LU89rfU9m48ePF+s8fPiwMnbmzBll\nrLCwsMxrt2/fFuuyl7REkHR8OHHihDJWtWpVsU7pc6X9rE6dOmVec+TYUVxcrNkPpON4Zmam+JnS\nkgrjxo1Txn788UdlTG/b2rVrV+Y16VqFSMK/0BERERERERkUB3REREREREQGxQEdERERERGRQXFA\nR0REREREZFAc0BERERERERkUB3REREREREQGxWULyC2kaao7deqkjL3//vvKmN6yBXPmzFHGwsLC\nlDGt6Y+lqbEdIX3emjVrlDFpCuiBAweKdUpT3ktTXXtiqm1piujPPvtMGZO2eejQoWKd0pTWBw8e\nVMa0ppH21NTSKSkpYrygoEAZGz16tDImLZWQm5sr1unKael9fHzKvCbt59LU84C85MG//vUvZezU\nqVPKmN5+ptUXioqKxDJafHx8NPMhLSMyb9488TOl5RjS09OVsbNnzypj0tIQgPZyCH5+fmIZe0hL\nnvz3v/9VxqSlRjZv3izWKeW5T58+yphWf5T6qCOkJTKSkpKUMWl5mDZt2oh1SsclaYkerXO/K5f4\nkPa72bNni2UPHDigjEn9IzY2VhkbOXKkWKcnrj2o8nDrgE7vwO9OTzzxhNfqBoDg4GCv1k9ERERE\npCL90KnH2R9qpB/abSH9MGwLvR8uJNnZ2U7V7Q685ZKIiIiIiMigOKAjIiIiIiIyKA7oiIiIiIiI\nDIoDOiIiIiIiIoPiLJfkEPNsUmlpaZpxaaYm6WFSabY8vZn0bty4oYylpqYqY1qzbJm3y9bZ6szv\ny8vL04xrzRxpJm2XlEdVXbbUmZ+fr4xpzbRnfr+9+VDNmCjNEik96Cz1Hek71qtT+lytbTC/Zks+\nzO9R1aE1K6BZ7dq1xc+WZoiTZquU+obeg+ZXr14t85p5NkV78qFqn9Q2ve9YmkFQmuVQ2gelfQXQ\n3g5zDu3Jx/Xr1zXj0qyfVatWFT9b6tfSDKmqtuiVA7TzbG6HPflQHd+k78re/dhMmg20ZJu02Hss\nM2+Xq84tEul7lD5Pb6ZFqQ9I+5nW8cq8v9vTN3Jycmz+fDO9yT+kPiDlSut8aaa3r2h9P/acW4hK\n4oCOHGKeOnry5Mku/dwWLVo4XPbrr792KCbJyMjQnSrd/D4AiIuLs7sO6fOlQeqOHTvsrsssMTHR\noXL25mP9+vUO1aPyww8/KGOLFy92aV22sCUf5lwsWrTIE03yKnvysWHDBrs/f8mSJQ61S4903JGm\nM9djTz5WrlzpcD1GYU8+du7c6YkmOU01uACA77//Xhmz91i6e/du+xtXzpw4cUIZs6dvrF692qXt\nckZgYKAyJi3hoBe3tX8QmXFARw6JjIxETEwMQkJCdH8lNqKioiJkZGQgMjLSpvczH9aYj7sqei4A\n5qM05sMa83EXj6XW2Des2ds/iMw4oCOH1KhRA927d/d2M9zKnl/HmA9rzMddlSEXAPNRGvNhjfm4\ni8dSa+wb1viXOXIEJ0UhIiIiIiIyKA7oiIio0jh8+DBu3bqFwsJCxMfHe7s5NjNqu4mIyP14yyWR\nF5w6dQqbN2/GK6+8YtPrpf3nP/9BRkYGjh07hujoaAwfPlx8vbzT2u68vDwsX74cjRs3Rm5uLqZP\nn64sv3HjRqSnp6NatWpo3rw5Bg8eDMA4+dDa/p07dyIpKQlVqlRBgwYNMGbMGGV5rfeaTCb06NED\nVapUscw817dvX3z00Udu3x53UX3PpUnb/sorr+Dy5cuoV68e3n77bU823yn2tFtr36mI/aGk3bt3\nIy0tDYWFhWjcuDGGDBkivt/Zfa682717N27cuIGLFy8iKChInMBM770nT57Evn378MQTT7i72S7h\nSF/X6g9GOX8QARzQUTli62DG27Zt24ahQ4c6XH7VqlU4cuRImdmxVK+XdvHiRWRnZ2P69Om4du0a\nHnjgAXTu3BnFxcWarzdp0sThttrCXfmYO3cunn32WTRu3BgjRozAAw88gLCwsDLlExMT8fXXXyMm\nJgYAMG3aNPTv3x9paWmGyIfW9t+4cQNLliyxzM46ceJEDBgwAEFBQWXKq95748YNzJkzB127dkWV\nKlWwc+dO9O3b18mts5+z/cNM9T37+fmVeW9ycrJy259++mncf//9XplYwZlc2NNurX2nuLi4XPSH\nklzVN9LS0nD+/Hk89thjAIDXX38d/fr1g7+/v+b7nd3n3MVV+cjNzcXzzz+P+Ph4VKtWDb169UJU\nVJTm8VPvvSaTCQsXLkTHjh2dbpe9HM2HtP9r0eoPqvOsu88fRI7iLZdULqxatQqLFy8W1xEqL5KS\nkpwqP23aNAwaNMjm10s7c+YMPv/8cwBAcHAwmjZtioSEBOXr7uaOfFy6dAlXrlxB48aNAQCff/65\n5sUIAOzdu9fqJBscHIwjR44YJh9a23/48GG0atXK8v+2bdsqp7hWvbd69eqIjo5GkyZNUKtWLfj6\n+qJly5Z2tc0VnO0fZqrvWYu07b6+vggNDfXKLHnO5MLWdqv2nfLSH0pyVd+4du0aDhw4gNu3bwMA\n/P39xfX7nN3n3MVV+QgMDMTGjRvh5+cHHx8fFBUVKdeH03vv9u3b0bNnT5e0y16O5sPevq7VH7x1\n/iByFP9CR+XCtGnTULduXRw6dMjbTSn3BgwYgPDwcMv/zevVtG7dWvN1Izp48CACAwOxefNm5OTk\nICAgAOPGjdN8r7+/v9XivoWFhTh37hwmTpxo2HykpaVZLSpeu3Zt/Pbbb3a9t+Qv2+vXr8ejjz7q\ntvZ6gup77t27d5n3NmjQwPLv0tt+7NgxmEwmZGdno1mzZjb9iFIe2Npu1b4j5cTo2rdvD5PJhPHj\nx2PixIno16+fOKDTYs8+ZwStW7cGAMTHx6N79+7iX5ZU783KykKVKlUQFBTk0MLm3uKKvq46zxKV\nV/wLHZHB+Pr6ok2bNgCAPXv2IDIyEu3atVO+XlJhYaHmZ6anp2Px4sWIi4vD+PHjle/zlMzMTCQl\nJWH06NGYOnUqNmzYoLy4GjJkCC5evAgAuHnzJs6fP4+bN28aOh85OTlWtxJWq1ZNeUGl997r168j\nKytL89ZEre3y9rarqL5nida2T5gwAePGjcP06dPx8ccfIzc316pMee0Teu0209t3XNEfioqKLO/N\nz8930RY65/HHH0f9+vUxf/58pKWl2V3eln2uvPYNlW+//RZr1qzBq6++6tB7d+zYIT6LWN7zIfV1\nPY6eP8rLtlPl49a/0Bn51y0qXwoLC8sclIuLizF16lTLMzVz5szBI488ghYtWri07rNnz+Kbb76B\nj48PTCYTfvnlFxQWFsJkMsHHxwf33nsvBgwYAABYvnw5bt26pfk5Y8eOVd426IgbN25g06ZNeO+9\n92x6Hfj9onjhwoXo3Lmz5bX8/HzMmDEDy5cvR1BQEHr06IFbt27hxx9/xPnz5/Hkk09afYYn8hEQ\nEGA5mQI+mcIvAAAXYElEQVRAo0aNsG/fPs1fSOvVq4d58+bhq6++Qv369dGmTRsEBwe7NB+pqalI\nTEzE6dOnMXDgQHTo0MGhfNgqICDA6vbjgoIChISEOPTerVu3Km83Kr39Wtvu5+eHlJQUHD9+HGfP\nnkVUVJTV9pfmaD5s6SvS96xFa9sjIiIs/65duzZ+/vlnq8lVbO0T5uPRu+++i9mzZ7s0F1r02m2m\nt++4qj/MmDEDnTp1wqxZs1CzZk2btsFdfeP27ds4fPgwVq5ciQMHDuC1115DmzZt0LVrV5vaBdi2\nz9nTN7Zt2wZ/f39cuHABDz/8sEfzYT6ujhgxAlFRURg7diy++OIL8fxT+r2ZmZno1KmTOmF25OOn\nn37CsmXL4O/vD19fXyxdutSl+VCR+rqt7Dl/qPrC9evXcfToUQC/377pjecRVZz5QabkccYRBQUF\nTpV39hGdhg0bOly2PC5sz1suyRC0ThxHjx5F06ZNLf+Pj493y6x1LVu2xF//+lfL/xcvXoxnn31W\n872PP/64y+tXWb58OebOnYuAgACkpKRYTtaq1wFgzZo1ZW692bp1KyIjIy0P/5snEujQoQMSExPL\n1OuJfLRq1crq+agqVaqguLhYfL/5+ZdPPvkEs2bNssRckY89e/agW7du6N27N+bMmYMFCxZY3m9P\nPmwVHh5u9bxGdna2chCl996DBw8qZ+srvf2qvvDLL78gJCQELVq0wIULF8QBnaP5sKWvSN+zltLb\nvmXLFsTFxVm+v7y8vDInZnv2kUuXLuHUqVPK+l3VN2xpt5nevuOK/gAAixYtsrolzRbu6hsrV660\n3GLcp08fvPvuuzhy5IhdAzpb9jlb+8bBgwfRsGFDdO3aFf3791fW6a58xMXF4dNPP8X69etRq1Yt\n1KtXD9u3b9ecKVj1Xj8/P+Tn5+O///2vZWC1a9cuq1t9bc1HWFgY1q1bh4yMDKSmpro8HypSX7eV\nPecP1f4SHx+P0NBQdOjQARs3bixXAzqqOHjLJRnCmjVryvxauHfvXvTp0wcAcPr0aa8/4O8uly5d\nKvNA+9q1axEdHY3CwkIcO3YMly9fFl83Cw8Ph4+Pj9Vrd+7cwT333GP5f2JiotO/nDnr3nvvtTrx\nX7p0yfLLbOl8pKSkYNSoUQB+/4U3LCzM8tcIV+Vj0qRJ6NSpE9LT0z0yy9l9992HEydOWP5/8uRJ\ny7Nipbdfei/w+50SNWrU0Kyn9Par+sLIkSPRoEEDHDt2THc6eHeRvmetfQQou+1hYWGYNGkSgN8H\nRVlZWejVq5dVGVv7RH5+PpKTk9GoUSOXbJ9EanfpbZf2HcA1/cHHxwcHDx7Epk2bXDaRhzPCw8Ot\nfny6deuW5cc/Vd8oTW8/MtdjS9/47rvvkJqairi4OI9PrAIAPj4+lolMTCYT0tLS0LZtWwBl86H1\n3jZt2mDKlCl4/PHH8cQTTyAyMhLdunUr89ymrfkwHzPj4+N1/+rnSlp93db+ANh//lDtLz179sRb\nb72F1157ze67NYhsxQEdGYLWiWPfvn2We9rj4uLQs2dP7N692xvNs8vatWuxYcMG/Pzzz1i8eDFu\n3Lghvv7cc8/h119/tZQ/cuQI/v73v2PChAno168fJk6ciKZNmypf1zN8+HBkZmZiz549+OGHH5CW\nlqa84HMHre328/PDs88+i4ULF+Kjjz7CQw89ZNmW0vlo0KABoqOjERMTg6+++grvvPMOAHWe9Ej5\n2LlzJ5566im3b3/NmjXx5z//GUuWLMEnn3yCxx57DPXq1dPcfum9AFC3bl2rSQIk0ra3aNECQ4YM\nwaJFi1y49bZTfc9A2ZyYld5282Dniy++wIcffogPP/zQptsFtfKSmJjosYtTqd2lt13adwDX9IfG\njRtjwoQJGDNmDFasWOHajXVAdHQ0MjMzsWzZMqxevRpZWVno0aMHAO2+Ye8+JymZox07diA1NRXV\nqlVDREQEBgwYgHXr1rllmyX9+/dHw4YNsWbNGsyfPx9PPfWUZdr+0vnQem+/fv0s8e+//x67du3C\n7t27sW3bNt26VX0mPT3dalIjT9Dq67b2B0fOH6ptP3fuHF588UWEhoZi1apVLt9OIgDwMSl+qkhO\nTsagQYOwa9cuh3+RPn36tMMNK/m8gCOk22BsYf41y1FLlixxqrwznnnmGYfKueI7d9TatWvx/fff\nIzU1FePGjcOjjz6KWrVqKd+flZWF4cOH45FHHkHbtm1x4cIF3LhxA126dLE6GbnD1q1bMWzYMLfW\nUR6kpKRg06ZNure8VJZ87N69G/fddx+uXr1q9StsaRUxH++99x7GjRuHwsJCfPrpp/j4449tLlsR\n8wH8vl1+fn5Ys2YNnnnmGZumdq8ouVizZg169OiBevXq4f3338c///lPhz6nouSjtNjYWHTv3t1y\nC2HJW7QlFTUfAPD111+jUaNGmrPSqlSUfHz00Ud4/vnnAQAff/wxnnvuOZd8rvma7bvvvnP4+fy4\nuDiH63/ppZccLgv8fkutM5yddfSbb75xuGy3bt2cqtv8g5O9UlJSMHz4cM3rdD5DR+XClClTMGXK\nFJvfv3//fkyYMKHMhB2eUBFOMHpu3ryJ7du3W9a3M09rraUy5GPHjh1YtmwZ1q5dix49euDpp59W\nvrci5iM6OhoXLlzA2bNnMXPmTLvKVsR8AL9v16VLl3D79m2bb1GuKLmIiopCUlISDh8+7NTFaUXJ\nR2kjR45EbGwsjh49qpwQRUtFzQfw+znF3kXaK0o+hg4ditjYWISGhloeEyFyNQ7oyJCOHj3q9MPO\npBYQEIDp06drPkRfGUVHRyM6OtrbzfCaLl26AIBh1mzzlPDwcK/cUudt4eHhdk+IUpn4+/tj2rRp\n3m5GuTJ16lRvN8FrIiIinL7rjEgPB3RkSG+88Ya3m0BERERE5HUc0JFDCgoKkJCQgJCQkHK5Hoez\nioqKkJGRgcjISJsmCGE+rDEfd1X0XADMR2nMhzXm4y4eS62xb1izt38QmXFARw5JSEjA5MmTvd0M\nt4uJiUH37t1138d8WGM+7qosuQCYj9KYD2vMx108llpj37Bma/8gMuOAjhwSEhIC4PeDTmhoaJm4\ntAj09u3blTG9hYIlc+fOVcakh6sDAgLKvJaWloYpU6ZYtlOPXj6kdW/S0tKUsTlz5ihjKSkpYpuk\nRdalhaG1fhV0NB9r167VzEfpJShKysnJUcbeffddZezWrVtim1555RVlzNbtMrMnH+b3rF69WjMX\nVaqoV48pLCwUP/uzzz5Txo4dO6aMSQsTt2/fXqxT1T8eeeQRu/KxbNkyNGzYUPf9JWVmZorxZcuW\nKWPXrl1TxoYPH66M6S1OXbt27TKvXblyBU899ZRd+VixYoVmPqR9JSsrS/zst956Sxm7cuWKMibN\nbKu3VEPJxcfN0tPT8cQTT7gkH5KMjAxl7KOPPlLGpFwA8szR5qVztFSvXr3Ma+np6Xj88cftPpYu\nW7bM5uUmzKTtkmbilhb/BiA+Wy31D61jhyP7ysqVK+3eV/QmLlq6dKkydvLkSWVsxIgRytjAgQPF\nOrVm8k5PT8f06dPtPicRcUBHDjHf7hAaGqq5xEFRUZGyrDTTlTPr1NSpU0cZa9y4sTIWGBiojNl6\nW4dePmxdyLQ0Pz8/ZUwaCABA/fr1lTEpH1oXZGauyod04s3OzlbGpFtQpM80t8WRmPS5tuSjZC60\nppZ2ZkAnLe0h9R1H+wYAcd02e/LRsGFD3bpK8/WVT1lS/5DyIR2T9AYVUllX5EPqf1oDhpKkbZba\nFhwcrIxJ+wog90l39w9pX5JypdevpPXopIXlpf5o77G0QYMGdudD4kw+HO0fzp5bSvYNrWOptK/k\n5+eLn631w65ZtWrVlDHpukPqG4Brrj2IzLiwOBERERERkUFxQEdERERERGRQHNAREREREREZlFuf\noWvWrJk7P14kTaxgC70HaPXEx8c7XPadd95xqu7y4OrVq8qYNNGH9OydNJEHABw8eFAZGzVqlDIm\n3cfuKrdv31bGVq9erYxt3rxZGXvooYfEOqXvwJlnFV1B+p4XLlyojEkT6syYMUOs89KlS8qY9EyZ\n9PyEK0jP/Xz++edi2a1btypjDz74oDJ24sQJZaxNmzZinVrPBTn6jKgW6bPmz58vlj19+rQy9thj\njyljly9fVsb0JtvxptmzZ4txaWKcp59+WhnbvXu3MiZNAgJoH0/1nm91FWkiqJ9++kkZkya2AIB/\n//vfyljLli2VMW9POz9v3jxl7Pjx48pYVFSU+LlbtmxRxqRJlaRn6FxB6md6a9dK+ZAmTZLO0f37\n9xfr9MS1hx69Z2IlepNU6dGbB0CP3sRweqTvXM/gwYOdqtsd+Bc6IiIiIiIig+KAjoiIiIiIyKA4\noCMiIiIiIjIoDuiIiIiIiIgMigM6IiIiIiIig+KAjoiIiIiIyKA4oCMiIiIiIjIot65DR5VXfn6+\nMla7dm1l7M0331TGiouLxTqzs7OVMWfXO3FWXl6eMrZr1y5lbNq0acrY5MmTxTqldegKCwvFsu52\n7do1ZUxah+4vf/mLMqa3Dt3evXsdak/Dhg3Fz3WWtJaP3rprL730kjL2+OOPK2PS+lQZGRlinfXq\n1SvzmivXGbt48aIytm7dOrHs119/rYw98MADypiUD6lvAECjRo3KvObKfEhr5MXGxopl9+zZo4xJ\na2RJa1ympqaKdbo7H8nJycrY2rVrlTFpTcfx48eLdUr7kvT9SOtbuoq0FteGDRuUsY8//lgZk9Zt\nBYBZs2YpY2lpacqYu/MhHTuWLFkilt24caMyNnLkSGXs0KFDylhubq5Yp6fWZ6TKgX+hIyIiIiIi\nMigO6IiIiIiIiAyKAzoiIiIiIiKD4oCOiIiIiIjIoDigIyIiIiIiMigO6IiIiIiIiAyKyxaQW0jL\nBISGhipjp06dUsYuXLgg1tmvXz9lTFpGQWvqYFdPJyxNTS9Ntdy9e3dlTJouGQACAgKUMWkZBU/k\nQ5p6PCsrSxnr2rWrMiYt0wAAv/76qzLWtGlTZczdyxYkJiYqY1LfAIBOnTopY9J05lIupL4KuL9/\nnDlzRhmT+i0AhISEKGPSdPvnz59Xxlq3bi3WGRkZWeY1V+ZDOibqLeXSvHlzZUxankKKnT59Wqyz\nW7duYtxZUv+Q8t6rVy9lrKioSKyzatWqDrWnc+fOZV5z9bE0KSlJGSsoKFDGWrZsqYzdunVLrNPX\nV33pKB3POnbsWOY1Ty3x4efnJ5YNCwtTxm7evKmMtWnTRhmTllIicjW3Duhq1KjhcNkxY8Y4Vfc/\n/vEPp8q3aNHCqfJBQUEOl5UOLEREREREzmrWrJnDZaUf0W2xc+dOp8rr/RCjp06dOg6XlX4ss4Wj\nayNL5XjLJRERERERkUFxQEdERERERGRQHNAREREREREZFAd0REREREREBsUBHRERERERkUFx2QJy\nC2kmnnvuuUcZk5YmkKYOBuRp2qVlCzzh+vXryli1atWUscOHDytjelO4d+nSRRkbPny4WNbdpKUJ\npOm079y5o4zFx8eLdX777bfK2L333iuWdSdpuYV27dqJZaWpuI8fP66MxcXFKWOTJ08W63S3Gzdu\nKGN6Swhcu3bNoZg09XtUVJRYp7tJS1dI0+kDwIkTJ5QxaRZqaVkRvSnt3U1qW4MGDZSx27dvK2N6\n08tL+5mjs9W5inTeCwwMVMZMJpMypvcd6/U7b5HO89LyAoC8xIPUP6Rlbcprnqhi4l/oiIiIiIiI\nDIoDOiIiIiIiIoPigI6IiIiIiMigOKAjIiIiIiIyKA7oiIiIiIiIDIoDOiIiIiIiIoPisgXkFrVq\n1VLGgoODlTF/f39lTFruAAByc3OVMb0p/t2tfv36ylhERIQyJk2XLU07DQB16tRRxnx8fMSy7hYe\nHq6M1atXTxmrW7euMlazZk2xTmnZC2nqb3eTlmmQlp4A5HxI+0NAQIAyJi2j4QnS/tCtWzexrNQH\npGULpD4nxTwhMjJSGZO+f0Du89IxQOqT0r7rCdL089J0+2lpacrY+fPnxTqvXLmijEn91ROk76q4\nuFgZKywsVMYuXbok1pmRkaGM6S0P4E6hoaHKWGZmplhWWn5COj9Iy8MMHjxYrJPIlfgXOiIiIiIi\nIoMqt3+h+/LLL50q//rrrztV/uDBg06V/+qrr5wqT0RERETkLnp3tkiWLl3qVN3OXqdnZWU5VX72\n7NkOl5XucrFFUVGRQ+V8fdXDNv6FjoiIiIiIyKA4oCMiIiIiIjIoDuiIiIiIiIgMigM6IiIiIiIi\ng+KAjoiIiIiIyKDK7SyXZGzSzEk5OTnK2C+//KKM6a2PFRQUpIzduXNHGdNaq0dvjTd7SevjSGvV\nfPvtt8qYXhulOqU1qDyRj6ZNmypj/fr1U8b27t2rjElrUAFyn5Ry5eptL61FixbK2AMPPCCWlfaX\n//3vf8pYr169lDFvriMFyPm49957xbIHDhxQxq5fv66MtWvXThnTy4fWvuTKdR6ldejGjx8vlo2L\ni1PGAgMDlbH27dsrY507dxbr1FrPS1rjy14dOnRQxgYNGqSM7dixQxnTW4dOWgNVao9WP3BlLgD5\nuxo4cKAytn//fmVMWrMPkPOht3ZmaVWrVrXr/ZJmzZopY9J5BQB27typjEkzEkrrvTZv3lys0937\nClUu7DlEREREREQGxQEdERERERGRQXFAR0REREREZFAc0BERERERERkUB3REREREREQGxQEdERER\nERGRQXHZAnILX1911+rUqZMy9v777ytjessWzJkzRxkLCwtTxrSm6dd6zRlS20eMGKGMfffdd8rY\nxYsXxTqlqaWDg4PFsu5WvXp1Zez//b//p4zNmDFDGfvyyy/FOt98801lzN6ptl3Jz89PGZs4caJY\n9rXXXlPGtm3bpozNnTtXGQsPDxfrdPdU21I+Ro8eLZaVvmNpH/zrX/+qjDVo0ECsU2tZC1fmo0aN\nGsrYq6++KpZ97LHHlDFp2YI33nhDGZOW+FBx5TIOtWrVUsbmzZunjL344ovKmDQtPQC89NJLylhA\nQIAyprWUiqunpZe+x3/84x/K2Ntvv62M6S3V8s9//tOh9uTn55d5zZXLFkhL0yxdulQs+/rrrytj\nWVlZytjs2bOVMalvANr9Trp2IpLwL3REREREREQGpfwpwPzLgd4Ck+6it0iwnry8PKfK6/1ip8eZ\nvLl7IWMVc5ud3XYiIiIich/ztVp6errDn+HMX88LCgocLgto/8XWHs6OE65cueJw2eTkZKfqdvQu\nMOk6XTmgy8jIAABMnjzZoUoru4ceesjbTXBYRkYGmjVr5u1mEBEREZEG83X69OnTvdwSY5o5c6a3\nm+Awret05YAuMjISMTExCAkJcek9zlR+FRUVISMjA5GRkd5uChEREREp8Dq98pGu05UDuho1aqB7\n9+5ubRiVP/zLHBEREVH5xuv0ykl1nc7pdMghes9YSvcHZ2dnK2PSDE96sz/duHFDGUtNTVXGtO7D\ntvd5Qr18SM9FSs9b3r59WxnTe9ZSmpnr8uXLypjWLHKuzod0335ubq4yJt0z70z/kPKhVc6efOjl\nQpr1rrCwUPxs6VlhqX9IfSMlJUWsUyvPjuTDkec+rl69Ksal/iEdk6RnKaRZFQHtPJu3zRX5kPaV\nzMxM8bPv3LmjjEl9y3wrlxa9/qHFlfmQSN+jtL16z7NIbZFmZdWq055clHyfI8/7OJoPvXOLlA9p\nVlatZ648ta/oPe8lPc8lHVekHOs9Z6XV7ziXATnKx+StGTjI0OLj4yvF85UxMTE2/QLGfFhjPu6q\nLLkAmI/SmA9rzMddPJZaY9+wZmv/IDLjgI4cUlBQgISEhAp773bJ+5SlXxzNmA9rzMddFT0XAPNR\nGvNhjfm4i8dSa+wb1uztH0RmHNAREREREREZFBcWJyIiIiIiMigO6IiIiIiIiAyKAzoiIiIiIiKD\n4oCOiIiIiIjIoP4/QFJA2Z7Z0loAAAAASUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3QAAACfCAYAAACx+5tnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3Xl4FFX2N/Bvd2fpJCSQQMIWEJBVGUWILIoLCgZ1UBaRRXDEURHG5XVnUH8IMi6IioiiuKCyqaOyq8DgiLiwCQhoEGQxELZsBJKQ9HbfP5gEQurc7urupGny/TyPzyN9uqpunb51U9VVfa5FKaVAREREREREYcca6gYQERERERGRf3hBR0REREREFKZ4QUdERERERBSmeEFHREREREQUpnhBR0REREREFKZ4QUdERERERBSmeEFHREREREQUpnhBRxQmlixZgv79+6NTp07o2bMn1q5dG+omhRTzURHzURHzURHzcQpzURHzURHzQeEoItQNINKZPn06Dh06hPHjxwMACgoKcNlll2Hjxo2Ijo4Oceuqz/vvv4/PP/8ckyZNQrt27bBz507ExcWFulkhw3xUxHxUxHxUxHycwlxUxHxUxHxQuLIopVSoG0Ekeeihh9ClSxcMHjwYALBmzRpMnDgRS5YsCXHLqk9eXh569uyJuXPnom3btuWvHz9+HCNGjMCuXbvwySefoHXr1iFsZfWR8rFp0ya88MILiIyMREpKCl588UVERkaGsKXVQ8pHTk4O7rvvPkRERMBqtWLy5MlISUkJYUurh5SPMkuWLMHEiROxZs2aELSu+kn52L9/P2655Ra0atUKAPDaa68hKSkpVM2sFrq+sXbtWrz55pvweDy4/fbb0atXrxC1svpI+diwYQNee+01AMCRI0dw1VVXYezYsaFqZrWR8uHxeDB27FhkZmZCKYWJEyfi/PPPD2FLiSqrEXfoJk6ciPXr1wMAdu3ahcaNG8NutwMAPvnkk/L/p7PPjh07cMcdd5T/e/v27WjTpk3oGhQCP/74I1q3bl3pBMRut2PGjBmYNGlSiFoWGlI+GjVqhA8//BB2ux2vvvoqVq5cid69e4eoldVHykdiYiLmzp0Lq9WKL774Ap999hlGjx4dolZWHykfwMkTs2XLlqFhw4YhaFlo6PLRuXNnTJ06NQStCg0pF6WlpZg5cybeeecdREVFhah11U/KR1paGmbNmgUAGDNmDHr27BmK5lU7KR8ZGRlwOByYO3cuNmzYgA8++ADPPvtsiFp57nA6nejRowfatm2Ld999N9TNCXs14jd0Tz31FBYuXIiFCxciJSUFkydPLv83L+bOXg6HA5mZmRXuPG3fvh3t2rULYauqX0FBARISEiq9HhkZec5/o25Eykf9+vXLj2ebzQartUYMb2I+Ts9BUVFR+Z2Yc52UDwBYvHgx0tPTYbFYqrlVoaPLx8aNGzF06FC88sorqAkP60i5KHuEf9SoUfjHP/6B7OzsELSu+un6BnDyhHvLli1IS0urxlaFjpSPBg0awGq1QimFgoICJCYmhqB1554VK1agbdu22LZtG3bt2hXq5oS9mnHGo9G+fXs8+OCDSE9Px9atW9GmTRvk5eWVx0//9zfffIOBAweib9++GDx4MDZt2hSqZtcIu3btQv369RETEwMAUEph3bp1ht80n8vatWuHn3/+Gdu3b4dSCnv37q3Rg5+3fOzbtw/fffcdrr766tA1shrp8pGRkYGBAwdi9uzZuOCCC0Lc0uoh5cPtduOrr77CDTfcEOomVispHykpKVi+fDnmzJmD3NxcLF++PNRNrXJSLnJzc5GZmYnp06fj1ltvxeuvvx7qplYLb2Ppjz/+iG7dutWYL8ekfCQmJiIqKgq9e/fGxIkTMXTo0FA39Zwwb948XHvttbjhhhvw4YcfAjj56PPAgQPx4IMPok+fPhg4cGB5nxwzZgzGjRuHQYMGoWfPnhg3bhycTieAyufyGzZswK233oo+ffqgf//++O677wAA06ZNw+DBg+F2u5GdnY3u3bufO4/fqxqmR48easuWLeX/bt26tZo/f36Ff+fm5lb69549e9Rf//pXlZeXp5RSaseOHeryyy9XRUVF1df4Gmb+/PmqQ4cO6s8//1QnTpxQr7zyimrdurXavXt3qJtW7d555x115ZVXqg4dOqgbb7xRbdu2rTz2xBNPqN9//z2Erat+Uj6OHz+uhg4dqnbt2hXiFlYvXf9QSqmlS5eqp59+OkStq35G+fjiiy/UggULlFJK9evXL8QtrF7e+se3336rpkyZEqLWVS+jXHz77bdqwoQJSimlSktL1dChQ0Pcyuqj6xtjxoxR69atC2Hrqp9RPlatWqXGjBmjlFJqy5Yt6sEHHwxxK8Pfzp071YUXXqjy8vLUL7/8oi666CKVl5en1qxZo9q2bavWr1+vlFJq7ty55eP1E088ofr27asKCwtVaWmpuu2229SsWbOUUhXP5fPy8lS3bt3U5s2blVInz9c7d+6sMjMzlcvlUrfddpt6++231R133KGmT58egr2vGjXiN3Te+PI4wQ8//IAjR45U+D2XxWJBZmZmjbtjVF127NiBK664AnfffTeKi4txzz33oEmTJnjrrbfw4osvhrp51equu+7CXXfdFepmnDWM8uFyufDwww/jvvvuQ4sWLULUstAwyofD4Sj/PVB8fHz5ne6awCgfX375JTIyMrBo0SL8+eefmDhxIp566qkQtbB6GeWjsLAQtWrVAnCyCEZNKfJglIv8/HzMnDkTSilkZGSgadOmIWpd9ZP+tjidTmzduhX/+te/QtCq0DHKx6pVq1CnTh0AJ3+bfPz48VA07Zwyb9489OjRA4mJiUhMTERqaio+/fRTdOjQAW3bti0/Lx8wYAAmTJiA/Px8AEC/fv3Kq47efPPNWLlyJYYNGwbg1Ln8li1b0LRpU1x88cUAgFatWqFjx45Yt24dBgwYgMmTJ6NPnz648MILMXLkyOre9SrDCzoAsbGxhq87HI7y//d4POjWrRumTJlS/trBgwdrRNW4UNmxYwcGDhxY4Uf7w4cPD2GLzj533303MjIysGfPHgwaNAj9+/cPdZNCZsmSJfjll1/w5ptv4s0338SQIUNq3ON1p/v1118xefJkWK1WREdH47nnngt1k0LqscceK////v3715iLOcm6deswbdo02O12pKam4sEHHwx1k0ImMTERvXr1wrBhw2C1Wmv8sQKcfNyya9euNeZxS53LL78c8+fPx7Bhw+BwODBmzJhQNymsFRcXY+HChYiKisI111wD4OQXTLNnz0b79u1hs9kqLVP22ukxpVSF/ll2Lu92uyv9TlopBZfLBQDIyspCdHQ0MjMzUVBQUH6xHvZCfIew2hk9cnn6I5Zdu3ZV3377rVJKqc8//7w8vnPnTpWWlqb++OMPpdTJR1TS0tJUYWFh9e5ADXLFFVeonTt3hroZRERERBQEH3/8sbr22muVy+Uqf62goEB17NhRLVq0SF144YUqIyNDKaXURx99pIYMGaKUOvnI5W233aZKS0tVSUmJGjx4sPr000+VUhXP5XNzc1Xnzp3VL7/8opQ6+chlx44d1e7du1VBQYHq0aOHWr16tXr55ZfV6NGjq3PXqxTv0J3hqaeewoQJE5CQkIDLLrsMycnJAICWLVtiwoQJePjhh6GUQkREBKZPn84JJ6tIQUEB8vLycN5554W6KUREREQUBPPmzcOIESMq3G1LSEjA8OHD8cEHH6BevXqYMmUKsrKykJSUVGFqJrvdjqFDh+LYsWNIT0/HgAEDKq0/KSkJr732Gp599lmUlJTAYrHg+eefR/PmzfHAAw/g6quvRvfu3dG5c2fccsstmDNnDm677bZq2feqxInFiYiIiIgopNauXYtnn30WS5YsqRQbM2YMWrVqhb///e8haNnZjw9HExERERERhSneoSO/lJSUYNu2bUhOTjb8AWu4K5ujpH379j5NPs98VMR8nHKu5wJgPs7EfFTEfJzCsbQi9o2KzPYPojL8DR35Zdu2befEM8fezJkzx6dpLZiPipiPU2pKLgDm40zMR0XMxykcSyti36jI1/5BVEa8oKsJ34RQRWa+GSorFrM/qwgud+WbvFG2SHHZKfGdxNg1i0f52NrKNveZKsbGqgNibO+xw5Ves9ksaNwopnw/vSl73/CiNkhQUZXihTZLpdfKTDr6sxjrULuZGLvCmqRt0++WEjHW2SXPSRZtcNP+mMWBj+J+N52PZ0qboK6q3BecLjkfhzxy2xpYT4ixA5rlAOC3aDnW0im3pxmKK72WZ3FiYlymT/koe8/UxESkGIylkQnysvYbLpWDEfL3cf9+7k9tm+Z7DoqxYWggxrqmZBu+nu1x4eGSHFP5eLq4qWHfiLE7xWVT724mr/h/c6oZOfzGL9o2JbaTt+nK94ixQ7uMP7xcixPPRO8zlY+XIlOQbKn8mUZGu8Vla7WV+8DWlfFiLCW+SNumxnfJ8zi6d+4VY/lrHYavZysXHnVkm8rHq7H1kGytfLy4HPL5yJ6c2mKsbfMcMVZyrPKYfbr4RqVizBYv/3Kl5GDlsTTb7cYDR/NMj6VT4+si2WD8UHL3RJFmvyKj5AV35ejLuLsgj5cXNTUeIwDAElF5m0fcbjyQn2+qbzyPBqhncPoaU0s+jhP/cZUYc/+wRox9skKfi/eLt4uxx6LbiLELYwoMX8+BC0/aDviUD56n1zy683Txr0FN+iaEKvLlm6GywcPlVnC5Kv/R0g0tSUo+s27cwP95/fYbXEiVsXjkP7pG7S/j6yBZ9r4EFYU6BvtnVfIfQLd8voYITSHaeE0eASAa8h/s2ppl7ZqnsM3mo66KRIrBSbtDyZ+HQ9O2ZCUn64SXfMRpHi6vo/l8kuESY77ko+w9KTYbGhpchEVqziVj6miq6EbKX5okeMmFTdOv6kBetoFV/1CHmXzUVZFINjhmjWcFPalRbU00XpMrgwul09WLljuHM1Lucx6Dvn06M/lItkSggdEFnVXumwl2eb8OeOSOVR/GF15ldHl2x8j7HG0Vxpz/vWwqH1abYX9zWeR1HPPIfbehTc5VsZf+UTtSHgMiouX2nLAFbyxNttnQwGAfNEMXCiF/VlEWuV/na/II6C/ojNpYxmpwQVfGTN+ohwjUN9i3WKuc73pJ8hccLk2f9jaWKo+cC6NzgTIpms8G8C0fPE+vuYzO08Ujz9sdmKpWN0bztbUPvkit7/eyya/5f5cIAFyz3w1o+Yvm/hbQ8v6KsFmQ2jjO528OiYiIiKj6lZ2rncizaS8sddy6W7xe1LcHNiH3B638r8sYly7f/fTFL6/Ld+x98YrtmN/LZpXk+r9hq0J0otPwPF28oPN2B6aq+ds5y3j7Jlm7bErdgLbt1Hzb44tQ5Pt0vHVPREREdPYqO1dTHovf58xKd4vXC6sK7FyxYYT/y9dK0P/EwpsszRMMvogI4BojkOubsiWNztM5bQEREREREVGYYpVLqhKXJrUUY71n6Ao9yM+cu9ct1m7z4puOi7E6SzS/rwkij8UCj8HvC1ZYjorLFDvk4iX/7ir/1mXKev2d3KV5W8VY19pdxJi9Gm4Ql3rkoaf7xfvFWOaviWJsn03//VSHUvnREk1NFNgMfgdjswQvSfaOjcWY2i/nQh2V+/uA8/WPdMzYLverPzX1kCzCb1QsCF4+UtoUirHIAQ+Isf3X3ivGnivUP8I/ZqNcJMQeJxdacAvftAb4gEkFMQ3l3zo5Dsq/7WpaT17nsgL9b5U3Pif3u+dbyp+PVfj9lDWIx4tHc0ehboRcvGTdjoZi7EXbIe02b8tvKsaGdN4nxpTbYExyB7FzeOE22v7/JN8o/020r9bnY/1OOZcRMfI465G7a1DYk+QNbLpXLnxyEPKjg3dck6Xd5iP/lh/d2y3/bA+XCr8ntAXwCCTVbLxDR0REREREFKZ4QUdERERERBSmeEFHREREREQUpnhBR0REREREFKZ4QUdERERERBSmeEFHREREREQUpjhtAVWJerZYMaaOyiXVj9w0SoxZI/Slr2NS5bhbU1ZdGcT8LbJtVQpWVXnphhZ5Esyt53UQY1FpcnnxL1Zv17alWZy8bHOnXN45txomlm/WJE+M1frHTWIs856NYmwW9mi3+U6EXMc9KalYjBUcrfzZWYNYedy9Ty57XbJHLsMe262+GIu/ubV2m3lb5RLe9mh552yRxkeGzR28svTRreUS4q51i8RY572ZYsxjcEye7tp4eSqVTh65r0rTFrgtwesgUc3k2ucR16eLsZjftsgrfeWEdpuL8uUpTx7583wxFhdv3F+DWYm9pDhSjK2x1hJj71p2i7HGNrnPAUCCpn8X/imfRtkiK+94sKvS2+vLK4yqLU8xkb1Uno4jO0efj4saZouxyES57584UDlmOLWDn777JVWMvaqZmuKDOvJnGHXTVdpt3vy93Odu9MhTy4hTwCgFcOYC8gPv0BEREREREYUpXtARERERERGFKV7QERERERERhSle0BEREREREYWps7Yoyo5hzQJa3j7udb+X/aXDIwFt+8KP+ga0/LQFSX4ve9/hbwLaNhERERGd+9wBVOlZeW1UQNuO6ikXo/Ima9LmgLad9phcQMcXqa+7/V52L44EtG0J79ARERERERGFqbP2Dh2FN5em7q7at1+M1emdLMas7dpot1k8+1sxVtcmlxZWBiXNvVQ5N+0ul1wiutnES8TY1Cf3irHDJUe127y/TicxllBaIsZyUHnagiCnA7Waa/qHpm3f2OVvxQ4V6PPRuI083EXUkvfQaNqCYMr8Ri7Dnl+cIMYu6SLnsOCzP7TbPHBcnjoE8qECq0EZdgCwWIJXZ9udLZdax1crxFCn2i3EWIFbX6Y/1yaXWq+dIi97rDBau95gsMTK24jodIMYUx2uE2MDFt6j3eaRvfLY8Zvm4+kUa1zO3qOC992x2y1/VikuuR/eEt1cjN17wT7tNiNqy30g91f5+DUqTe8RprqoCvN+ayrGHjokP83zTKMe2vWOTJan8ijeL097Y6niWwgto+VpAoa7G4mx3PwiMVZnlv6pp49uk89ZLLXk6Zv2fyQcK6i+/kHnFt6hIyIiIiIiClO8oCMiIiIiIgpTvKAjIiIiIiIKU7ygIyIiIiIiClO8oCMiIiIiIgpTvKAjIiIiIiIKU5y2gKqEUzNZZenaPWIsuotcWtpSq7Z2m/ZLGoixuttc2mWrWssex8RYZO87xdiolSPFWN8f5VwBwL4CeZ9zEdiEoIGy2uXS1s7F/xVjH+fJU16ccDm020wYJpdi92QdlBfcKpe0DoZShzwM168j14i3Xnq1GIve+qV2m5entBNjbUr9nzA1GIr+kKeQiGspT2nxojVOjM20yWMDAKxXxWLsqn3xYswqVBiXXvfH77Pk4zjn/bFirE1DeWqKxIv0f/rvKZWPh+/+lMu/VwerwVQAZa5Nk8eHPqMHiLGItAnabXqOHhJjdcc9JcaO76z6EvQu+U8LVlnkYMs68uc4+iL9NA75u+1izOOW7xPUSirVrjdQLe+SzxGa7ZT79Kz/NhRjf27UT1vT74NnxZhzwRuaJY2nLSDyF+/QERERERERhSle0BEREREREYUpXtARERERERGFKV7QERERERERhSle0BEREREREYWpKq1y+Ze6zfxe1j7u9YC2fezOEX4v2+XIHwFte9cjcmU6X1xfL4CFDwe0aSIiIiKqAdLrXOD3snGvvhTQthf+5Wm/l/378cDO0w849ZWPvWkEudKrNx7IlXq9sWiW5R06IiIiIiKiMMV56KhKHHIWiLHje+VvNhx58hx1UZr56wAgor48X0xdSx3tslXtWIY8H1H09h/EWOSVl4ixJudr5k4DsOVNeS7APyLl9qRWw5R9J/6UNxJ/TWMxZrFkyet06uc4sqZdI6+31RE5NnO+QTv8/4btTElJ8hxo9R/uKMYs9eR5pDask+dVAoCboyPF2DV/k+d6K/pJaIsfXw161Mn/znQ4S573rT6Oi7GUpnLsxh2x2rZMjpI/g/9CfmTiMmX8NIZ85MmUssCDysflLrc8v96QvG/F2GB7FzH2Vl39XIO1r5PH0lbvyfMyepTxuKKE1/1xtFj++7F6U6IYGzJrgRj7csRa7TZ13bv3jBvFWNFzSw3WFbyxw5v2llpi7O00+ZhIeH+mdr2Huj4gxnIK5b7Tsk7lMVozZa3IAsBi0KXcWTniMuuWycdxR4t8/B/2cifm2F3yPLK6OQIB/fx2RGbxDh0REREREVGY4gUdERERERFRmOIFHRERERERUZjiBR0REREREVGY4gUdERERERFRmOIFHRERERERUZjitAVUJfafyBVjcQ1SxFhsX7lMO5xO7TY9h7LFWIymbHakrfJhYLMGr8w2ACw7JJeR3z3sKzF2Z1yeGIuO0c8v8JbNJsY6WpPEWCrk5YIlL0suxZ6QJE8xcVcduX8k1tZ/P2VLbSfGHN8uEmNGJdeVQXl5fyU0d4ixyBvvEWOu31aLseSoE9pt3jsySt7m3/5PjDm232+8jAOAPPODKTarXNY9vr083YK1rlyi3blD/3nluIynHwCAHdEJYuwSh/Gf0BKrPxMXGGsbLdc+T2/QQYzVs8ifscXLsVKyXp4eJDZGznNEhPF0CDaPG9AP3z6zaaYM+a9Vnrrimp+jxditud9qt/nPRleLsRsulqdDiYhZXOk1m8sDaMvZm1OcK3/OTVzy5xzbW55QWrnkMQkAateVx5em18ufjzOr8nFhd5jPhwKgDDZzbKPc7n0R8tiRa5Njd16yT9uWFetSxViBTR53Lo/KN3zdBQ8gN4dIxDt0REREREREYYoXdERERERERGGKF3RERERERERhihd0REREREREYYoXdERERERERGGKF3RERERERERhqkqnLThccrQqV6/12JbkAJb+I6Bt52TLZZ1riuOlclnjTRvlEv5Xf2RcFh0AVGmRdptZNzwixtYYV9MGAERYK5fptwX5qw6Xpmr6y4e+F2NrktuKsaEFch4BoFmE/BkkeeSpCU4YTNlQYgnuNA6FxXKp7Y9fkGtY/62WPI1D0xfl8uEA4Pz6fTGW9XamGHO57ZVecwc5HxLnV++KMZUrTw3S9pXO2vVGXjVIjOmmQ7DGGvcbi00uVS6uy2L8jWJkpHywRlzXXV6hwfQjZZ7+6EttWzbn7BZjAxqeJ8YcMJ46xOnHd6UWi4LVoCR/YnKxuMzcNvL6TuyVlyvdpP+8MrfIU4fExsjzD0TFGX92kW43UKLdpM8aJMtTE4w+LLfbElsqxubU66Hd5k0vnC/G3F9/JMaUwewVRq8FIrqWPH3NRTnydBwnvpHL8VtXj9JuM6GDPAVExPW9xJjlp58qvRZZ5AD+yNFuz1cetzwuD/lAHjsKJs4TY7M2NtFuc4pjqxgbUau9GHO7jccIt6V677N08sT6vaynuCCgbf8a7f/f0eaoH9C2C5fvDWj58zz6fqGjjObc8H1hMcQ7dERERERERGGKF3RERERERERhihd0REREREREYYoXdERERERERGGKF3RERERERERhqkqrXNK5y+0+Wc0swmZcpchmUCmxTK5VrjaWdfCwGFMOuWobABxScrUvXZVJm0HhvrLXyvbTm7L3HbM4DOPFmqqIERFyzGWR96kAch4BoERoCwAUQtMeg7Ye/9+6zOYj12JcEc+pyUeBRd6vw5Ar7Nny5Op3AIAiuUrqYSWvt9Cg6ljZfvmSj7L3HBHeGyl/TLAfldusjsllAy35cnU7AIjQHGeuHLlymaPUuD8ecZzcNzP5kPpGjOYzjtLtl6bKpceib5fuGCzU9Mdcq3E+8k0cL2XvyRbGrwiPvI7jmiGgxC2XU4xy6KusZQufDQDYNZ9Psdt4H7Ld5vtHtrDfLk2VtxyrfDDZNMd4vuYzBoAD+ZoKy4Xy36Xjrsr5OGIiF6e/L9vH958uW/M3INYh/22xKH31QVuJfC8gIk+uUuwpqtyew8Xmj5Ucobqs3SPvkyNXHteMPqcyx7z0DVjl40w3dhwRjqNc+P63heh0vKAjv2RnZwMAUhvHmV52HDLk4MAR/jZJT1OZt0GsXEI/Ozsb550nly0//X0AMCvud9NNaxIbI8aO4IAYe0cT8+ZnP5czm49nouXS2EH34qdVs15NF/clH2W5eCA/3/gNuordbyzz0jh/za+StZrJx7Ox8lQRolf8WAYA4vXhZvHyVDOfQy5L/nnlGS0qMJOPx5xHjN+gueDHFv32RfLsHyfF+FlG3st6zeTjoWI/2pDg55gYv18bnvKa3Af8ZXYsfeC4PE2JqJbQpwBAnqkjMGvn+rWYmb7xTxwyfoPuO99x8rQ1Wl6OhWj5zzcWacaORV4262v/ICrDCzryS/v27TFnzhwkJyfDZnSLK8y53W5kZ2ejfXt5HpnTMR8VMR+nnOu5AJiPMzEfFTEfp3AsrYh9oyKz/YOoDC/oyC92ux1paWmhbkaVMvPt2On5mD17Nr744gvs2LEDf/3rX/HCCy+Uv08XO5PD4cAzzzyDn376CUePHsV5552Hhx56CFdddZU2VlWqIh8AsHTpUkybNg0HDx5EvXr18MILL4h9a9euXRg/fjx+/fVXJCUl4fHHH0evXr3O6nz4cqzocnT06FE8+eST+OGHH5CYmIiHH34Yffr0Edele/8ll1xS4b0lJSUYOnQonn76aZ/2RScY+ZA+XyPe9mX48OHYvHkzIiJO/plLSUnBsmVVdcezsmD2j9OZ3S/d8bV//36MHz8emzdvRlRUFNLT0zF27NjydQdTVeXDzD54G4vMjM+B8Hcs9cWjjz6KNWvWoLi4GMnJybjrrrswcODAgN67d+9e9OnTB+np6Zg8ebLPbfFVVfUNM+Odt8/eTF4DxTtz5A9e0FHIVdcf0eqSkpKC0aNHY/Xq1SgtLfU5diaXy4WGDRti1qxZaNSoEVatWoX/9//+HxYvXoykpCQxlpqaWpW7Z5pun3/44QdMnjwZr776Ki666KLyR2qMuFwujB49GoMHD8bMmTOxbt06jBo1CvPnz0f9+vXDJh9GdDnsni4IAAAgAElEQVSaMGECIiMj8cMPPyAjIwMjR45E27Zt0apVK8N16d6/adOm8vcVFxfj8ssvR+/evat033yl+3ybN29e6f2+7Mv//d//VdlJVyj5ul/ejq/x48ejbt26+P7773Hs2DHceeedmDt3Lm6//faqanrQmdkHb+OvmfH5bDVy5Eg899xziIqKwq5du3D77bejXbt2hnd8fH3vhAkT8Je//KW6diFozIx33j57M3klCgVWuaSQKxtIBwwYEOqmBMV1112Hnj17ok6dOqZiZ4qNjcX999+P1NRUWK1W9OjRA6mpqfj111+1MTOWLFmC/v37o1OnTujZsyfWrl1ranlf6Pb59ddfx+jRo9GhQwdYrVbUr18f9evXN1zP7t27ceTIEdxxxx2w2Wzo1q0bOnbsiIULF4ZVPoxIOSouLsby5cvx4IMPIi4uDmlpabjmmmuwcOFCw/WYef+yZcuQlJRk+k57VeVI9/l64+++eBOq/hAs3o6v/fv34/rrr0d0dDSSk5PRvXt3/PHHH6a2EeocmdkHb+OvmfFZEup8tGrVClFRJ38XbrFYYLFYkJlp/NtTX967dOlSxMfHo1u3bn61J9T5KONtjPD22ZvJq+RsyQWdm3iHjkLuuuuuAwBs3boVhw/L1fck06dPx6FDhzB+/HgAQEFBAS677DJs3LgR0dHRQW0rcPIkCQDuv//+oK9bJycnB3v37kXLli1NxSTvv/8+Pv/8c0yaNAnt2rXDzp07ERdnvsiNv/lwu93Ytm0brrnmGvTq1QulpaXo2bMnHn/8cdjtlatNKIPqdkop7Ny5s9Lr4ZgPI3v37oXVaq1wh6pt27ZYv359wO+fP38++vbtC4um4uiZzObITC7MfL5nkvbl5ZdfxuTJk9G8eXM89NBD6NKli9d1lQlWfzhdsPqGL/vly/F1++23Y+nSpejcuTOOHTuG1atX48EHH/S5HYHmKBj5CHQfgulsyAcAPPPMM5g/fz5KSkpwwQUXaB891723sLAQU6dOxQcffIDPPvvMdDvOlnwA/o13ZzKT1zNVxXhCdDreoaOwt2PHDrRr16783xkZGWjevHmVXMyFitPpxKOPPop+/frh/PPP9zkGAHfccUf5H8YyeXl5mDZtGl5++WVceOGFsFqtaNOmDVJTU3H8+HHccsstuOSSS7Bjx44q26ecnBw4nU58/fXXmDNnDhYsWIDffvsN06dPN3x/ixYtkJSUhHfffRdOpxPff/891q9fj5KSiuX7g52PTZs2YdCgQRg2bBgefvhhOJ1y+fNgKy4uRnx8xRKN8fHxKBKmYPD1/QcOHMD69evRt29fw/WYzVFOTg4GDx6MYcOG4fbbb8eRI5rqegJfP98zSfvy6KOP4j//+Q9Wr16NQYMG4d577zX8Rt3svgInv2nv2rWr6X0MBl/3y5fjq3Pnzvjjjz/QqVMnXHnllWjfvj169uxZaV1mcgQAXbt2xfDhwzF8+HDk5XkrqRkYX/chmMz2mbVr1+Jvf/sbhg8fjhUrVlRp24CTFx4bN27EnDlz0KtXr/I7S2bfO2XKFAwYMAANGzbUbs9MPg4dOlTeN9LT0/Hcc88FtrM+8Dbe+cqXvJrJRaNGjTBmzBgMHToUQ4YMwa5duwJqH9VsvKCjsGA0SJY584Ju+/bt5ScW5wKPx4PHH38ckZGRlX7MrYuV6d+/f6WTzx9//BGtW7dG27ZtK73fbrdjxowZSE9PD95OGCi7SzB8+HCkpKQgKSkJI0aMwKpVqwzfHxkZiTfeeAOrVq1C9+7dMXPmTPTu3bvCI2RVkY9GjRrhww8/xOzZs9GkSROsXLnS530cPnw42rRpY/jfkCFDvC4fGxuLwsKKc68VFhaK3+z6+v4FCxagU6dOaNKkieF6zOYoMTERc+fOxezZs9G3b1+/vs335fM1Iu3LxRdfjFq1aiEqKgr9+vVDx44dDfuW2X31eDxYtmyZ15Ncs3ztK77ul7fjy+Px4O9//zt69eqFzZs3Y82aNSgoKMBLL71UaV1mc9S5c2fMmjULs2bNQlJSUpXlw8w+BJOZfJSWlmLmzJl45513MGvWLLHIjzdmxxKbzYa0tDQcOnQI8+bN067b6L0ZGRn46aefcMcdd3htm5l8pKWllfeNSy65xK+Lb7O58DbemeEtr2ZykZGRAYfDgblz5+KRRx7BBx98EHD7qOaq0kcur6/dzvubiHzQv39/wxMoh8OBzMxMtG7duvy17du3V7jAC2dKKTz55JPIycnBO++8g8jISJ9ip7vpppsqvVZQUICEhATD90dGRvp9EmZG7dq10aBBA1OPwLRt2xazZ88u//fgwYPLv3WtqnycfkFhs9lgtfr+PdisWbN8fq+RZs2awe12Y+/evWjWrBmAk/1bepTU1/cvXLgQd999t7hdszk6vYR4UVGRWLDFG93nK/G2L2UsFovhY51m93Xx4sVIT0/H++/7Oa+VwN++Iu2Xt+Pr6NGjOHjwIIYNG4aoqChERUVhwIABmDJlCh5//PEK7zWbo40bN2Lo0KFIS0vDQw895Ndjbr7kw8w+BJOZfJQ9+j9q1CjY7XY888wzSE5ONr1Nf/uH2+32+bdep7937dq1yMrKQo8ePQCcvPvvdrvRr18/zJ9fcR5Ls/0DOPkkxZYtW/y6Q2c2F76OEWZIeTWTiwYNGsBqtUIphYKCAiQmJga1jb5IkOdF98qz5b8Bbbu2x//HX8+PqhfQtg/vCWDHAZT63/Qqwzt0FBZuuukmXHrppZVe37VrF+rXr4+YmJOzeyqlsG7dOsNvjQMxcuRIpKWlIS0tDTNmzMCMGTPK/z1y5MgK73W5XCgtLYXH44Hb7UZpaSlcLpfXmJFx48Zh165deOuttyr9rkwX86Zdu3b4+eefsX37diilsHfvXlOPewQrH/3798esWbOQm5uLgoICfPjhh7j66qvF7W7fvh2lpaU4ceIE3nvvPRw5cgT9+/evlnzs27cP3333nWH7zOTDiJSj2NhY9OrVC1OnTkVxcTF+/vlnrFy5EjfffLPhenx5/8aNG3H48GHT1S295SgjIwMDBw7Eyy+/jCeeeMKvXOg+XyPSvpT9lqosj4sWLcKGDRvQvXv3gPbV7Xbjq6++wg033ODTeoDA+0Yg+6U7vpKSkpCamop58+bB5XLh2LFjmD9/vs9PN0g5SklJwfLlyzFnzhzk5uZi+fLlVZYPs/vgbfw1Oz77ko/c3FxkZmZi+vTpuPXWWys9aRLMfOTm5mLp0qUoKiqC2+3G6tWrsXTpUsPHg729d9CgQVixYgUWLFiABQsWYPDgwbj66qvx3nvvBZSPMj/++CO6detW6QuyYOYD8H280332ZvJqRMpFYmIioqKi0Lt3b0ycOBFDhw41vX9EZVgUhULO5XLB7XZXGEhtNptPcyH9/vvv5X8wU1JSMH36dGRlZaFx48ZBbePbb79d/v/efqg9ffp0TJs2rfzfixYtwn333Yf7779fGwOAu+66C2lpabj33nuRlZWFTz75BFFRURVO2MaPH49OnTqJMaNvCM/UsWNHjBo1CiNHjsSxY8fQuHFjvPjiiz5mI3j5GD16NPLz85Geno7o6Ghcf/31GDVqVPl7T88HcPKb1s8++wwulwudOnXCzJkzERUVpc1VMPJRWFiIMWPGYNKkSYa/mzCTD7M5GjduHMaOHYvLLrsMderUwTPPPFPhDtiZOfL2/gULFqBXr16oVauWz+0DvOeoXbt2+Pe//40vv/wSa9aswYQJE0znQvp8jfZTty8ulwtTpkzB7t27YbPZ0KJFC7zxxhto0aJFQPu6aNEiXH/99abu0gbaN07nbb/OzJG342vatGl47rnn8M4778BqtaJLly4YO3asT22RclR2pww4WfBq8+bNFR7fDmY+vO3DmfnwNv56i+tI+YiPj0fHjh0RFRWFbt26YcaMGRWWC2Y+LBYL5s2bh3HjxsHj8aBx48YYO3Zs+WONp+fD23tjYmLKvygFTn5ZFBUV5fPTG97Gi6+//trwy5pg9w9pjDDTN7zlyhspF99//z2UUli2bBm2bt2KF154AVOmTPF7X6lmsyijZzVwshTwtddei72ZhXC5DN/i1d8a+VfmFgDe3jDJ72UBYGSa/49bfHjgp4C2vTalc0DLB6LLkXV+LxsRYUGzprWwcuXKap276/XXX68wkALw+Y/opEmTsH//fvz+++8oLi7GPffcgw8//BCdOnUydYFitr1A9Ve5rG5jxozBnXfeWeFxViPnej7K5kcbMWKET6W7z/V8GHE4HOUn8atXr8b333+Pf/7zn+dcLl566SVkZGTAYrFg8+bN6NevH5566imflz/X8mGksLCw/OT55Zdfxvnnny8+NlsT8pGfn4+HHnoIM2fOxJYtW/Dxxx/j+eefN3xvTcgHcPJxy379+mHRokXaL0fO9XysWrUKa9aswRNPPIH9+/dj3LhxPt8BBU6dpxfnRED5+fjihNgOfi0HAEPeusT7mzTeHr3J+5sEqy3HAtr2OGtgj1yu8Pg/tcmrxzf7vazFqhBbz2V4ns47dBRy999/v98D9o4dOzBw4EBMnTq1/LXhw4cHq2k11t13342MjAzs2bMHgwYN0j72dq5bsmQJfvnlF7z55pt48803MWTIEFOP3NUEv/76KyZPngyr1Yro6OhqqVwXCo899lj5//fv39/UxVxNsW7dOkybNg12ux2pqakhm0LgbJGYmIhevXph2LBhsFqt5+yxYcaPP/6Irl27mrrTfS66/PLLMX/+fAwbNgwOhwNjxowJdZMojPEOnQHeoaveO3SBuPLKK/H++++bmm+MiIiIKJzxDp3/zsU7dDX76xEKawUFBcjLy8N5550X6qYQEREREYUEH7mksFW7dm1s27Yt1M0gIiIiIgoZXtCRX0pKSrBt2zYkJydXmIPqXOF2u5GdnY327dv7VAKf+aiI+TjlXM8FwHycifmoiPk4hWNpRewbFZntH0RleEFHftm2bRtuu+22UDejys2ZMwdpaWle38d8VMR8nFJTcgEwH2diPipiPk7hWFoR+0ZFvvYPojK8oCO/JCcnAwD2ZxXB5a5cNCfKFikuOyW+kxi7ZvEoMebN5j5TxdhYdUCM7T12uNJrNpsFjRvFlO+nN97yYbXIP1e9op48Cfobf5O3b2nWXNumDyf8Lsbmntgpxg4U5lV6ze98HCiG2yAfQi0mAECbOnJBnk+vjRNjlrhobZvu/bJUjK3LkydVdyt3pddsNgtSG8X6lI+y92QfdsBdeVVwegxe/J9EuzxX3Bep8raT+uqLGs2d6RBjnzr3iLGDxUcNX7fagLrJNlP5iDheCxZl7mfcF0TXF2MTriwWY7YmKdr1rn1f7hufR8uxvY58w9c9FjdKahWYyoe7IBrwVM6HW8k/3m8b21CMTb29rhizeCl6tXz8bjH2WYTxPgPAQUeB4evK4oFKKApKPnQ6xMrzjz73V7lohLVpI+16v3hd3uf5qvLfjzJ5zkKDjXmAhBOmx9Lo4wmwqsp3pTyQx9JLohuIsSdvdIox6/nNtG1aMfmIGPsswniMAIA8V1Gl1/w5Vk7k2QyLgOiOlfp2uYjFB63kfhaXbjxJfZlfXs8RY6/Y5MIdWSW5xgGrQnSi0+f+QVSGF3Tkl7LHHVxuZVgFVfcwRJKST7wbN9CfeOnsV5UnfC5j0ZwY6Kq4+vpYh7d8WC3yNiKVfPHbKF5+5MKSFK9tU7wmz7oTpWDmwy3kQ3dBZ3TSUqaRXR6yLLFyHgEgQvPH3uiis4zLE1g+TuUChhd0Rl8AlNFVLmtglXNRT9NvACBByeu1eOR90lx7AjCXD4uyardlJFpzjDeyyyeoNi/5SNIUPIv2s68C5vIBj9X4uNQUmY7yd+xI1E8qn6gZO3TjlTjOWk/uRlDyoaHtH3GaC7rasdr11laaLwuU5jRK036zY6lV2YT+JneQGF0+Yv3Ph7/9Q3e8mOkbymMxHBuVZlzTbbthhByrlRAjxgAgyyPnOEIzRktje9mr5+ojpVR1WOWSiIiIiIgoTPGCjoiIiIiIKEzxgo6IiIiIiChM8YKOiIiIiIgoTFVpUZSvCjKqcvVaDaCveKeTEidXQ/JFm35yBTlfDFyo+RV8mLg0qaUY6z3jUnnBCPlzc69brN3mxTcdF2N1lsjVEatDQrT8I/NpiXIxh6gRT4qx0lce126zmVPOZS1baOe3iY6Qf0i+uInctsg7bhdj++6ard3mZTa56t/GSHmbx0orF0SwQP7xvVluTaWRxXHycZT86F/E2N5xG7XbvNwt539RZIIYO2CpXAEVAKzBSwciLXIxgDfSK1fJKxNxWQcxtuYJuWojADSLl9db2xnascNqkZM7Z5jcb62du4uxzJGfareZ3u2EGPvqZ/k4yoRx5T6lq+xiki4fb9+qKWCUfqMYK3lTP3YMvk4u9PGf/8jFqXItlf8mKYsliNkArJqxaPKtmkJBl18mxk58tFS7zRv6yX/Pli6Vi4hkQ/4bHQy6Kpcrr5XHvKie8jlJ1qTN2m2mPSZXjE19XR7b90KuFGqWxWIBNMeFzm+RLv833KCZ/8sCcFo2+b3spdAXhfOm2Q3Gf8t8tfvLwM7zqwLv0BEREREREYUpXtARERERERGFKV7QERERERERhSle0BEREREREYUpXtARERERERGFKV7QERERERERhakqnbaAaq56NrmssTpqXNoaAI7cNEqMWSP0xZ5jUuW4W1Mo2qikdrAnjmgSV0+M1b9fLj9fMv5+MTZ7QZJ2m4015fDjNNMWVEc+Oia1EGPJH4wVY4eHPS/Grs/RlyF+Mlr+DC6u3UyMrT7ym3a9gUpLbiXGLvh4oBjLGCKXnk8v2KXd5qa2jcVY+yPJ8nJqj3EgiB3kCrtcBjx6zCNibNYVU8XYyLwftNvckdJejDV3yOXO1wpl0j2Qy6ebdXlcczEW9cC/xNjrnZ8VY48f3KLdZsEAuaT9xRvksWONVDZeeYI20ccVsXI+oh9/UYz92P4JMfYASrXb/HF0IzHWSbNnW5TBgWH0WgC62uVjOfK+MWLs5y4Txdg/bfI0DQCw9O/y1CYXKXnZqh1JgfQ6F4ixuFdfEmML//K0GPv78T+02zzgbCDGGkE+VjzCoBncSS2oJuEdOiIiIiIiojDFCzoiIiIiIqIwxQs6IiIiIiKiMMULOiIiIiIiojDFCzoiIiIiIqIwxQs6IiIiIiKiMMVpC6hKuDRlu9W+/WKsTm+5ZLq1XRvtNotnfyvG6tpqye0xKCMd5MrSuCC6vhiztGgrxko+2yDGrkt0abdZeCxajDVQoc1Htwg5H7YUuSz5d4flEtEXx8pTZQBA54h8MbbOXVveZhVP49AnUi7TH9Gmmxhbha/F2LWJ7bTbrHNDjBhr9Z5NjLmEqTBsFgCQlzPjyhJ5Pdb4umJsZ4Q8TUeP+vK0BACQ3EWOtVmimfJEODCUJXg9JN0pf1YWm/wn/BslT+PRJVk/llqbyqXwuzn2ibHp0kChVJB6B3CNUx7XIE2bAGCeXZ5eINKhPxVSTnms7Voqf9bvGrVHeYKWCwC4slSeJsAaK49rmyLk8bKO1aHfaKlTDHV1yMfhPMOxNHjHSiePvE+e4gIx9mu03DeaQ/5bBQCFy/eKsfM8TcSYNHYE/Y8t1Ri8Q0dERERERBSmqvQO3ZGio34v63hPnhTVF0+OkieD9eaRH+QJiH3h+LMwoOVXHNJPZElEREREFIj/lspPTHnj+fLzgLY9tNFBv5e1RgZ2J9OZFdjyXxce8nvZUrd8h9sbKwDpPjTv0BEREREREYUpXtARERERERGFKV7QERERERERhSle0BEREREREYUpTltAVcKpKR9dunaPGIvuIpest9SSSzADgP0SuaR93W36Ev9VrQnsctBZKobibu0sx+LkqQcAwLn8BzFmX6lftqo1c2tK429ZKcaiNSWdb3PEa7fZ4skUMdbqXznaZatSc83vo10bloixQquci76OOO02I266VYwlv/2pdtmqlqjkhLg2rxBjLTR9qgXkzx4AIrrIcfviA2LMI5RcD2Yp9rZWuciWcsnl5Qd4ksRYoZe6+ZZmLcWYPVIev1ENw2wrFIkx9/7fxJjdoukfkXKuAEAVlYgxl25srwYtrXI+PHly39V9m1/boi8qpxy6D9r/gnSBSpBPO+DZ8l8xVtsjT1twfpS+SN7hPZpzHXm1REHHO3RERERERERhihd0REREREREYYoXdERERERERGGKF3RERERERERhihd0REREREREYYoXdERERERERGGKF3RERERERERhivPQUZU45CwQY8f3yvP2OPLkOY6iNPPXAUBE/RgxVtdSR7tsVduujosxz+afxZgqkeeos1j0k9w4suRlXSpWu2xVW2srFmMjsuW5kw5FyN9B5WvmZQOA6xMSxFi70kNizILKeTZ6zRuLxQKjj2x1pDyX2M2rV4uxTM22Glj1c2Opo9lirNQq75vU57x0ReNlYIHVII+r7fI8Vp1Xy3NJ5VvlP2dNvMyPpg4dEWNZEfJ6rS7jHff40T8kqy3y/IoXZv8pxmq75fmxPF6+y/VkbBVjO1z6+R6DxWqxGHasn63yHJoX2eVjvL1T/hwv8+jnbbS1kP9+fGc/Ki8oTxEXNJsh5+MvNnmfYzTDZRe3/u+DrZm8zTVR8ryJHkfljUpzOepYhL7xW6TmQG/QTAw5LZvE2KXQ9/dmN+SJsd1fymM7UbDxDh0REREREVGYOmvv0LV8YV1Ay2+7op7fy8bcekVA2+4/dmNAyxMREREReaOUgjJ/oxMAcLAk3+/tXvVWYE8irEyP9ntZW9O6AW37mY8Ca/vegp1+LxsdIT+F4o3NA9SBcd54h46IiIiIiChM8YKOiIiIiIgoTPGCjoiIiIiIKEzxgo6IiIiIiChMnbVFUSi87T+RK8biGqSIsdi+HeWVOp3abXoOyaXYY5T8A9hIg9LONk3pdn+szv9djG2fZhNj7Z5oLK/US634I3/IU0fofj9dHfn4+uhvYuzEnBwxdnO9SDEWVcut32hxQzG0O0oeCm3Wyt97Wf2p0y9YdEzOxa3vXSDG+kPuN50u0k1qALhXfCXGlkfI5e6V8Mt7f3+Qb2SF66AYG/yJ/GPyfvKsJUhIKdFus+Ar+fNcZpNL4Tudxn1OKTmHZs1z7xNjI6a8LMauuVIeL0sP6z+w4q/l+L8j5RL+LodwDCqPprea8ykOi7Hb578vxvp2kI+JmO7Ntdt0/rxDjM0pkv/WuTyV82GBClouAGChVS5qMWSRnI/0FvvFWNyF+mlPnD/Lx+j7JcfEmMdooLAG71j5b6m8T54vPxdjQxvJ+2ON1B8rziw5/nWhPB1Oqdv4+LQCCO2kQhSueIeOiIiIiIgoTPGCjoiIiIiIKEzxgo6IiIiIiChM8YKOiIiIiIgoTPGCjoiIiIiIKEzxgo6IiIiIiChMcdoCqhLHS0+IsU0b5fLxV390vxhTpUXabWbd8IgYW6OpaB9hrVxE2hbkrzp0+fiXpmzzbI8cs7Rso91mRpFcznqH2qNdtqrlFsulra9eJ5dF/+mOemIs6qHntds8ctMoMTbT5RBjRqW2/ekeSinD8v55J46LywzxbBNjv12tmf7j3gHatiwdsVaMLSvaIMaMyrADgPJjGgcFBY/BBBoFrmJxmedLEsXYtBHylAY4Uapty/iPo8XYhqIMMWazSD0heGX6j5TK04/c+Z+mYmzWkxeKsagC+fgDgH+9IU/z8H3BJu2yRqw2BTnDxjxKGc6Hsa9EniZg1Ix4MTb9/lbyxmz6T+vub+LE2N4CedqRurGVp7ywwnwudLKcR8XYmKm1xNgLdzeRV2owVcvp7nlL7j878uXjpWGtpEqvWazKdJl+aSw9WCL/zbvqLXmMWpkufyK2pnW1bXnmI3m9ewt2irHoCOPxyuYB6gS1h1BNwTt0REREREREYYoXdERERERERGFKfOTS7T75aE2EzfyjNMFgsRrcTzfhoFPzjJ0X9qP6R/u8cVqcAS0fERGanJd91mWfPRERERGdfcrO1QI5X7YYPPbuK48lsHPFAyUuv5e1Fekfo/emGIGdZwdynu7lCW+fljU6Txcv6LKzswEAqY3lZ8erlvzbIV8M2JPj/8LTvgpo24gJbPFmTeXn3qtDdnY2zjvvvJC2gYiIiIiMlZ2nxySF5kv4Isi/Z/VFX/M/xz1l08GAth3ozxTPxvN08YKuffv2mDNnDpKTk2EL5HKSwobb7UZ2djbat28f6qYQERERkYDn6TWP7jxdvKCz2+1IS0ur0obR2cfXO3PeHsm1WeXb0blW+VZ51sHDYkw55Op3AHBIybfvXZq740bjoO62thFv+bBqqgA6NI/oHjgmV8dEnr5SXb5FzrPuUQmbwT7YTD6OW/Y+o3UBhsXrTsWs8jYOFMnVKCM1fQcAcj1y/9Dlw+jRCjP5OJUL47iuQqTVJifqoEPeH3uu/33DoOhrOZtHON79yIeyeEz/irvEIn/+Bwo1napEXg4AinVPz2iq0IpP7fxvGTP5ELej5O1rx44CebxUx+UqlgBQpO0f5h/RKnskLCj50CjV9Q/dPus6PQCHZr26R6+MclVWGNXsWOrP420nIH+O2uPFS9VaXZ51+TB6NNCfviE9Yqh7fFCXP92jf94e7dM9uqfLhfT3wMy5B8/TaybpPJ3TFpBfAnkkdxzkssYYOMLfJulp6iI3iJXLnfv6+Gkg+dgJeQqBG2frphdYo19x5YrZPklNsIsx0/loZLYgNeCEfDHSZ4XmQmXF3aa3VU6udo4m8fIz1L7koywXyfU1ZfVF8gnKgN2ax8qfna1fraZvJCXIJyFJkPsGYC4frvhC7fuMbNL1jcWmV3eK5vGbqAAezTGTD1tt4xNH3aXGDuwWYze+J8e80uxzQrL/q6ENTnUAAAC6SURBVA1GPnQ2Qy4T/9ePTa/uFE239/fRK7NjaWm8/ksaI6shl/Ff/YXp1Z2i6R/6fMgXTmb6hj+PGOoeD9Q++uft0T6/c6HHn76QWRaldN+VExkrKSnBtm3bztlb/aff1rbb9SexAPNxJubjlHM9FwDzcSbmoyLm4xSOpRWxb1Rktn8QleEFHRERERERUZjiPHRERERERERhihd0REREREREYYoXdERERERERGGKF3RERERERERh6v8DlTZKytjyr5QAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2305,32 +2026,22 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Manifold Learning" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### LLE vs MDS Linkages" ] }, { "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, + "execution_count": 64, + "metadata": {}, "outputs": [], "source": [ "def make_hello(N=1000, rseed=42):\n", @@ -2357,12 +2068,8 @@ }, { "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 65, + "metadata": {}, "outputs": [], "source": [ "def make_hello_s_curve(X):\n", @@ -2379,18 +2086,22 @@ }, { "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 66, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/matplotlib/cbook/deprecation.py:106: MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version 2.0. Use facecolor instead.\n", + " warnings.warn(message, mplDeprecation, stacklevel=1)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABI4AAAG+CAYAAAD1KU+TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nERERUUJsOCIiIiIiIiIiooT+P2wTBDSvVgX3AAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2429,9 +2140,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## K-Means" @@ -2440,9 +2149,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "### Expectation-Maximization\n", @@ -2454,18 +2161,14 @@ }, { "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 67, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABBsAAAERCAYAAAA64a8FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2546,10 +2249,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Interactive K-Means\n", "\n", @@ -2559,18 +2259,33 @@ }, { "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 68, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAFVCAYAAAAzJuxuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", + "application/vnd.jupyter.widget-view+json": { + "model_id": "dcae86b9b6e749388ce9a0dd76969b54", + "version_major": 2, + "version_minor": 0 + }, + "text/html": [ + "

Failed to display Jupyter Widget of type interactive.

\n", + "

\n", + " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", + " that the widgets JavaScript is still loading. If this message persists, it\n", + " likely means that the widgets JavaScript library is either not installed or\n", + " not enabled. See the Jupyter\n", + " Widgets Documentation for setup instructions.\n", + "

\n", + "

\n", + " If you're reading this message in another frontend (for example, a static\n", + " rendering on GitHub or NBViewer),\n", + " it may mean that your frontend doesn't currently support widgets.\n", + "

\n" + ], "text/plain": [ - "" + "interactive(children=(Dropdown(description='frame', options=(0, 50), value=0), Dropdown(description='n_clusters', options=(1, 6), value=1), Output()), _dom_classes=('widget-interact',))" ] }, "metadata": {}, @@ -2650,20 +2365,14 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Gaussian Mixture Models" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Covariance Type\n", "\n", @@ -2672,18 +2381,46 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "execution_count": 69, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function distribute_covar_matrix_to_match_covariance_type is deprecated; The function distribute_covar_matrix_to_match_covariance_typeis deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function distribute_covar_matrix_to_match_covariance_type is deprecated; The function distribute_covar_matrix_to_match_covariance_typeis deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function distribute_covar_matrix_to_match_covariance_type is deprecated; The function distribute_covar_matrix_to_match_covariance_typeis deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n", + "/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\n", + " warnings.warn(msg, category=DeprecationWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxsAAAD9CAYAAADUK2rLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nk4yv0gAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2735,10 +2472,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "\n", "< [Further Machine Learning Resources](05.15-Learning-More.ipynb) | [Contents](Index.ipynb) |" @@ -2761,7 +2495,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" }, "widgets": { "state": { @@ -2777,5 +2511,5 @@ } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/figures/02.05-broadcasting.png b/notebooks/figures/02.05-broadcasting.png index 26999961baf00acf02f76e7f3f915047b1e4d2be..18122b84237722619cbe063ba13a575d89ac3981 100644 GIT binary patch literal 16376 zcmdUW2RPM#|M#IpA(Snwn+Rb6wB%Tu;~O!r^?!=ll7*->>!YS5}h6KSy~Efk5EP%Sovs5EupUUkc|8 zyd!hR{0e+IZ7(6Oh6Dee;28SB&u4AqH0==x+zaUc7@x;I4&hB92Wbt5d)CGd&iZyn z2upnj8w+a(i^m3ZPDXb2kFBlfxY@bbxmoE<9UN?gIXM3I2kh2%CLDaYKiUxpI)uE` zEj3j9>bSd_+F*_N@gCxtl(83cPzsKpjgiz-3GdI+Y}y=L$?SvY)KdH3$yiuXu9;PK zRrW7G%3YXvU&wF#n8Cl-?hEmSiy88F{0xv-ub7A~wq&a3ro8vMD}qme$eU>DhN2=~ zsm1WK@^ZnY9oLoN;bCTiVp7$A|!{bphD@j;Tl=kYry zYTN`qfBwvA^nsZ5QKduQ(O3x?;`rxa-Avr%;nio)pKk=}9%51kpLvk4gN1lsR)#)t zw6G(Kad)hb`@yczs@u0d<|PN=^cgHfM@I(^9^Ppr9)BD@8ylOcrKRJ~n3a_k{m`{r zTwGkHrl#aIv+zjtFT0)H=*zsv8KcO=&fW?)YmbMACs^vf(Lz@4@b$v^OM+e|i7sb? zgM(>k1$cRheF}=4$X;74(j>{9^wqVy zt>IS`3M_`X6%&N}A6NC7Hdoj$ihQSfaJ*c1jH|D&-`?Hb(h^8kBTP!~ZPRj@kea%C z!t=zvl^jVL=!2mLml8Kk!>mtnB}6A=5RyE3(n- zw_2dVx-#xOX*54S-&DFfUKKSzH-~p{tiVyz49`c?#)k8YDX(I7e-X^V-I_J`p0A5a zNn+iuZf=@)?-Gob+cE|Q1|rq79s6owRS3OYp@`PW$42ZQ9Gvp{a$_Cu%=0fNleO-n zv$K&A5p+UA6s|Qi^z`(mj~_qnHn#s6v%kO3wI-nIW<6OO{OObO>C>n2%nzn`+BA!e z=`UYC4Sxy`(aBXLIXQXh`*)g+4LCA#{=@72c@9sZ6$({&a1s&{FII~mf4LgnZ457% zkPU|14Ho>VDJhL#7im29^1+-4dxNG5gGjf_J_N>%l9#(}FuYVXa|UK~4C zSfaNgty3qR zkJ5cHY(c|kU44LY)53!F!i5V3_KQkG7W~z_BjzENL_|dU-<|6Mp*l=|AFnDHwh(mL zO#3pK`}xb4-r-^YckiyY?OBai`pnE2I5;^O=;YkypY$@?-gav|c;qesEj)gqxI zKj?~wgPME^nhXl-4GO1x$aK6K^lVsOdJ{636tU`QYHFfOmxqT~KtKS@)YT#5;$dZ7 z-O#+eJpF_2gd1c%;wK_-PPm?@-@jYIvj~nAm^eC9v-R=DP@SiEV`C$_8X&wvdyev8 z6}KeZa3&-p^Ic!Ju^21w{fbX_e0+@hmYJ@srS)w;F+ZPU!ex=VD^ZjRCID(SSU_1v zCj{n(kjJ~yQc|s4(yw2?T8$2T`s5WI9j!lEHf%9e?ZQ*L5p1nD^8PW5!DX@IeWYS6 zZ^vxg9UOYq@Nq{yC>HzUYaYIy2W6hGDw$_LkBkJs`M0;X1p{KP9T*xJO+$r)TC;7M z^z0cXF)3-t0R_~2rUcfLGw*nl+;=G$7#Iktr~*?`7z~Y#UA3zbbgZm+QS6T>?=3t% zh21)$2t9#Bv(`I<7at$L{o_X&Q&Xnn&8WJm+_H)AN_priu0?KV!=S5doEAOB2tUiI z)#Jb^E|73a;Lrz1VFeLN_%Wzp{Q6Z9vz~f3iKV4w#M_swi5Ud`mogk_ScDWv$+#cp zsVtlVgi6GwYdstM`A|@+$V=Wk8f2+(8ywpc}@$huB%7f!Fx<=t(%{m6t`- zkfei{?^@5R*^}Ni`!30%^C5Y_C1Zfq3QIAU8onm>jrpooM@Z&wDd%b;+AvGa2iXx% zXo!uN1GNqcQd3VMlAbm4DCG7D6ZFSo*;La;_nS%Iyom^9>bDm#qzsm^CF54$5*T}w z5&!BHACKj7+QF=<>I3FT=wbl8S0$?$zCy zf!v4d8ygK@?urL5Cb}v0De?vQ`#)9B_JNghczC$p|3KG2vIHsv6jCTRf~|`9n$2z^ zi^;7 zhqJW$C0f0sqt|bLgyyOI-~sm3v9JiT6;I@Ne>TO?MWK{~eqdmLft~$)VPWC=-d-E@ zVyUXp^+q4uxE8(OJHnp-^2)~14tq{q2OHR(O(-Xc4t8@wI z?eF*L5j(*1@$o@?*L9%2aDl<~yYBHO8M?;w_V%Wj1p8VfJ>?S+KrVE}gyb_aGTH(L zIs5Q(^@|s0;zivCR%P*t26-v*XRp zB}L-fRlk5ik!q(^%EqRqjlO$#rvZt{DJV4MJ*q-iLY2)kHG30o8WnbLGbkorT4LDm z6kap?N&Yr5kp{q_-r~oEPhTBW1!QfN;su|6{gOWWG2sRbue5{&CMml%)9nFRvbmwb-zSawYaU-_`X$$x;@UC&(*4|p@Eay>xWOpFE@Va8hWL~b;E1u{o{-L zmLqffT1p&P<27z%kN#H8;!Ueg2x&x?=N0cdXtuRdTX)Ac}!+@u| zb8}Ow<6i1$ne~kc5 zr@aPs-0%T{K7(oo?SH~`nXR`7K-k9D^rV??fk|RENu06o*k>{hb}{TaE@ZJ)Ps-%C zik+6J!;X5nw=@&;R^2Yv*Q{H0?x@~xKSw=VuPuCQN7vv&5y4sdkKST+8D5#*Fv^?r zoo}sPq~NbgCR?2sLfy)^zO%Da?z9?9CzNP7Y{Bn(M&>eOE2T7+BGwC~paubqmxV3` z1lVgIub+M(-Sn$v;2xK$J8J?OdS*;C!(2GPG+c`thB97iX1ad;qQi6o6KXHH!w?g} zj^$%QN}uQF;-P|ZkCR1bB6UXE57msm6lP))jy07H1}PDdj~py|=cHOX-PEdahzRnx z0?$Qbs%&i1kZ?#eH!UBgV7{Z1%ujwZ!zWgKP*7V-^Q-&^58jNe8$w}2WT0H0 zo6tHrI3T9(DWi;uxGzkY6Ynk8qb4p$=W3d<>4+Sx1KrZL(|Y(2tBT2$_tvdj+ID?P zxyvso2buDIS92U69f`~Tp-=x^ZU6fgu2z4#4`2o?i|xI=(8qDn=gyt8*I@&Q5#EV@`eNDm-HwdTEtfUBV41oWojnc|W;epZ7PIBZ*dl)0Dh)6s>9$pah z;436ds=|?x5u#A85vLgnXZxFewhZ2a|0Tz(1^!gKm9R!9C`b-9Zhy0rL-d2CwRPLK z{%rKh?TY2Yg{eU2TskctrFS&3_?OK8dOLF zg95ibtF*Uo^#RvIW6Eqh2<}^`JKo9PUl6GC2eNWFLssV{liC1-h*6%z=yf1O*DOdR zK|?3q9~2T|97x7t3{=X9_Q^WN7qgNs<6@yw_k+<%9TD# z&TBLZw{IKN{p`;Neu4A^Y6z9)%cZ&>m7U$4ok-y8`ZYB*D=-KaKexZGY=8X{#MP>v zqtTG)zN=|mHmd37cH`i1tH;-fjD(~RfOgcXUD@h2@gHZm_V!E=Lq$fNBChdB(bf>^ z8$+|9;$kz$sg|K|l~DU=ZR5z19pp&2z3)bVFb(#;k0WV454q5v1OTlx3}OIsu_wud zKQ6exuMbr{DQB4|?kNWKnW`Ab-H*j2IK%7f56F?<7jcl^+hVxZ+WZM;6pJu-j}O*( zTFK$B@VsV?qL!9ScMm2{CN_!#N!bkGd^=0!u=*`Nr^)Bk)lF{H0O2WuR$f*iU^S*k z8T_K8tn9|_!5^%$3#J;j_&!EwPmc+-4@Tp<{h7cO|7(flTcr)9)d%0Ja;mGxQrm9&4_9{os_66MY=Zza08WdA|Idj!Jfp!k>)$WO=CtWmWeZ)nMx3a%6t2CTn z`}14*u6_Rk_TpV6GBwpJm|vEh$~_)?tM!JGH=#**jlX36;Hmu+>nHr%j~&TI35m&BUkyBE7p_4BQ=hD*B(kmX0_qZx1=AnI1 zVYUT`lZcY?TeP_3sMyFQ3>n(RhU$%wi}cMgtdl;14l3pLiy>bmW4bv zSpy&lLP^%>k@3fP|BhGJQgd^=3r+X7x2K%z4yX}&tw9v1<=irx*;f3+!$t8nK#Za* zd3rCFew zn7j2y4~`BGTT7Cz-%D4LmX*cMQC}`74ds_b^t4fsPr|~A?TlE_l7yS}j1PrKhJB7hi;VMq^p!xJ(L956yC) zKEF0=n-wY;`wODeorDkWF4|%{@*J}1?#D2_Od@@TlS>MS~7bJeX5sF$$_Lb>o{YTPE1S5g) zg6Vw@Dk`XXjlkbGc1NuVMkgmHY43{e5Z_i%5FJ@qUJi7gaKSD%=|Qu}3Dhh;Oi(1u z;E<%RtE*TDZ(rXki{fi-0K|OMv!z{KD?5=vrPK)E_=FcP^2|6nx88`fU;Nmz)gvCd zz3m_+CG`f-I!xBog<$8pTWi%@=Xcj8LkkKx6=S%u5L2`EC%m=-vR+|}UWBt!IJURG zi8qQe2@A)%|NNS+DuC36c{~JY{nDE2w!^4g2(9?X_gZW`aow|4_dp>y0KU>%Gfs7z zMxph4CPK}(iGTZ!oVSLE(z1JbO_|Qu35~p0+=T z4rys=f8p6LiA>42rdBmUxAp64-@J1PzG*l8&zkKpalyB5-}D7=(pY~OZ=?-~shLM= zWjadf;+hPOF2DMmo&>KOUqAD))wFo$BUvkAQd&%>rG#^kj+-HHP7s7D2QNLpDJYe%Ezjzx|gg~+{Y<^3U{sUi+#I~dDRg+OGx2sV8o@L zz=m%pQHgZuqkpr6dDRyfbYwUgbHz4%CPD;0(}~LDQz*nzWT(zpV13K3YWGdD#F*L9 zYW;HhhN^ia18#J@uyVKNZSAzV0W?ya8Jm)~nteL}7eQb4>!!nAy=r2-y)%X%Ba>=d z^(e&D3P;w`{`s|7-^OV^f(o7XuC3Ft8Jf2rrOoxBkMIqSp!DkqqYOWMy3k{fQvNMz z{0~s6h)vIYFwdt!ufE!4izyKAo~EY1ko^K3P(SEt7ukFlQGERT4A-t<%cK(d`}+@- zm`5$e7#{Ws3;aAd2un;1nVU1beD$h9XCzySk;|O|g%nZF$nx2?(Bk~Ma~9U4i$rximLP5@^Vazfj*SS6(E!;h8yuPt;Y0pJ&*X1L4|pF?4-1`980t4 zJ9?b*F*q5PXj^4f6$LU#Ggmz_G4UgmyVIQ)>}WphQVjj3q|9*T4<80XAAy3>2rK!z zdQN@Ab8P9386h2z$K>wZ!9tjpXpslY@CpdncU(oL4^$-gni3KdpGJUw2d_`2yuYX~ zR?y2Z_?y2H()(qfK)0R(k*dAD{bePylrgFcALN6G2x1^(a|;U}oM==r7z3KLpWp>+ zdrDpk{RcAX+m4f8F%1O;P$DlMUouE(fFQ`&I;qs^{bqpfrxX_UZaCh%ck$ibBzFBk zZzQOE%F15%v(@Rv#dW_e5K@F0Sb2MU)7`j1_4@T|?akJJbL1-VSh%E9A6{QC_c#*H zQNKRnwk8U)zuGrrmtd|Jjg1m;s}@5Ax6mJ-77{>rLH;-lguA=DpzAgh6jZ71O9BlO z=VzW4Hs@*-J_9W?_{WbQh2UcpOdfrAj+nnix=2sbr7?QcaV@D}e;=8jK|Oes$~LB0jrQuj60|k&y3JBoL6PBRT+8-l9`#=;`s0fD;HN-&3Yp)&Dyej zR_Q54tZyf{C6(MkVtV@#KXHy%$E-VLG!qoMn04Sra*mEAeRl|@b#-Y$3}f!Z zl?}Nx9WLp2Ln2?r;~7n`+`Gz3N|f0}2% z%e*&5I$Feq+bFmxj8V4W$qzf|7qelqG(>!XFT?yQWPa1G2)+v}I#TDGby9!xt`C%F zNjMm=MFyCD5wE}^8Htv_c8q+!0AOC3g(!@v()MhjzyPwaQ#$6vB%D|jPXgbM1U!Ii zMA*3Tr?uuZELUfsh?qBYQp-Ifh&K|e=?f`}Zr{$5Jh6JH`1-h}JS4$ERXiaBI9lRr~J^H~CU5 z3t;CUp+yT=(-_I?ffhAX>6qQuP2LNfpb+Ro_0MnF08%-mI)zZ{bRK~IXLbg4$=Hy} zCMMS=JPs_OIAvoLfdlSB%2+p<4KYAEw`*bssIMeM}M$jf^B!DNHRBB7J$M6))P{O zhG~6wHf~Ex`}EyWPWY{&ky21lq!8gq zt$rcAa&lOQS!Jrlt%C)!`vZ!KxJ7<0rGg3lvQkJ&#?{poU75f}5I(wajTe+17!5Fg zX2Hp8`?0lX^uyVWMXy=k^eN?&Q@)ob+mpY1jn~lvvG3R`u?}tilwH(P4B~nMx(*I5uB5T?yS{Fs(W6=Q3d&}#+b|&P#wE>E`fa~Wo&$vUAHy}C^In`**#JWo0D-@7Z(=*&eAF>L?FiE zK5wAAJpi7AvbJ_mX(@m8=7;Mb`2{fv)gP7Jj#IpiW1g$(e z3t)c+zG()F0$Um_ zr{A(lG`E-sqlKyGgUT7XD0JZiiE}J5S(%i6W~xTUw(fk;qPr2`w0ARn?N((~HIFCc z1_gs(0~fk??-ffiFcK0Dj10$d8ZRy-THlmjQ?Bffi+CZDIxQDd>lVPX>ngG{Y!FH)x$>8vprCL7P{jgcmbxI zlrcIXu)CrO3cO#We%WYPcsSe$#=Wx$kxaRMXf@mchwY#oFXz9^Uj=LXl~LaCgf zQx&z5kx?}0KVU!ib<=Yj{293=DHwzNP*hxObbzjkQntoj(NCdjI5;?%(?!-)^+e{LAPDjC|2u^U9{IrICGwalZ2u=p=@M(XUDdRCZGt1DD;zggoUoeW#l~& z6O1||<;U?F(5ri>5V^FnLTs@)*xz4qSleRI07{u&*(jD{UrH} zvLSkUdS0E43YvzO&2$9%%4K?a(5Q~8;y0=TL#}C+;+zo?!}-7H=Hz!kH)qj#4pv9S z*iJuW1+2=lxvz6`hX+I<`YNq5Y=dWhUSNP>WFY>p3)BBlv()MhK_MnNd-m+o+S(op z?aE&gd!o^-9{dP`NiYLhF5Nvj*D@~HVT<=#iEZ)11|A6~#Sny&Kq8slzLk^x zAiotIXViJ0wsMqT>%?_ts^K|IVJYy8(I4D284JD` zoV>oI9jiwk7SV5JG(A0?1N7+Yfuo~iPFYzLSL+bqYYh}ikcyn#=4T8rKJ|wWJ9BeW z{XxM^^7zTTHx~Bu(>VX#pU%AS_*d$mo?1a`zX#xk^3L>BP+hACP7crfs?CrX_WwR= z1?*4QT^xcs&};O98jOpR-@e6y$eNP)tAqs6l?@lOG!OFJ?gx3=w?GDS5T*v-bsged ztzXNNJdZ0nJt%WM$Af>M4*s}f=&|iRJ-#~mv^$G3ln{sFyn6Kvq$1esIQm_9qv_`= z=DJ-@%Q>?Xot0PNOHEB31}$=UyvlhPVled}C>0M|gjk~cktU$>?A%-<0?}>4gGKR^ zuN#FRhIg_*s%%E{adgmQVQsAkcx8OiVs~5{;B2VGRN0xC6prG~t42YEfCr1gyX1mK zo#=V&a>naXg`E#qtA>sa%|mcqmRDDeAc7KGihbax4@1bD((^Mgx+m#ZEb=ciZ5KU-_m=34vt5= zees>x&QCuEt9W#khtqj>u7g}gR<;=GT-9N%+G4NXi$Zdy}3? zT&>ZdNgyuWJwT7jn&*jITMxU|dp}5NIge?cdH$4I++&RS04#s%FCO1V9_s4$T)h+9 z3|$y>36MyHm8$=b;$J~OHMA*y-4ubx`l-mIq#o!y+BEiQ9CX5NWJ^D(b3Z6; zYhz<(zGY{}z3nOr1O#Gsm~q_;+vsQ_a>6=o7t)332oS)2@_}9Os1fy`C4=<-43vGq z#y3P0AwA~c>>Rp}Iy^cmw41+u2zi@kpiK#-uuuVF8*VF6Jk3VW-G7q#Z>)-|iU$wW zF$PzZxi8)MRYro}TS64$x3BCM5b&(S@Y%4143L;FJ@PIz7>x-E6N$23?-wtGy-4cA zw=r63t_GF9tt|Z*M9im<#Y6nt&JTQYy&lP z4kG3kg#&rMnB+fFGjenL2JSntp z4~jQxt6QKKVq5Ru^QNzS`(`#bKVM-HRpnu4@}A%G9|ix6w(T@eS<0=A-Q+6E#9a;q zTpR>0`{!qY4?s)s9k+5mJgKj*FG#W%Q2Ji#(mC#OI!HveT8Or_D!&W{V4^~5P9YMD z_4;*O=ps;%WPv{c6{a4A3IXaL#6tKi>foAZz%P?^brpuH_Gx@P7#tk5D=_&6ExjM? zt;uR=kVC!!6S2NgF-n6#nK+uVZjLpxozh9*Cl1&}fov%cCSr#vUT;kJ#3`I}0M1%{QX_g5-Z-3qDAzjFbZ^ z$%cnm{`!^Tiuv4Zra%9Kn6jziGN(8Wy~MfHqP!m zdwGFesd>xPrq2Hf`yJk*L#pV{Pj-h*{QUgT`9z2Z0&@JikN^21Ff)kVevalQxFpCq zV4M~Et5aj%ymJTN19Cr%f`X{ARXYJC-WMOMMMDw7QCBHh^f1B0sRt>s7oGtiz3QET zhpGbpIC`_K!KwoK63JVBL9btM5looLLei=|h;_307CLhE;@@Yp<@vF?%t}&nbMK(T zM`j6BAW&Z~35g0XHngRNkQh4pV7oqbE3X22^uLMEwFIi!OXeym>xV4h=9Gk%P@ax#D5qHd+!DTMDT?;GC)z#IMh4st*W1uqJGa_ZHot4~D z9zrYoX&m&og)|I!ViXbe^Q8D9#i$sZYegdq)s%N4Dw6wLm^3l&E$d;ZRad_SWq5$K zM0FXJ$*d5L`R?8MCqO^fG90Zk_|Q=|9kb3Eo%+6kr;-qj2+>-60XD(y+}XFSta(_9 z!PJ6&0a4B%j|1aWH>2h#F}A&~XSRCND?(u84JJCb%fo zo?nmF>2kNk$$ygTW=5U$QL9X*+=j%I&<|FcW7N@>yX zfEZ?Fx0K6Sbqu#O{m|}##(&`+uj@eqtdJ+kv8*LC zd;$Y`k3c-}Lg#`axiSh1i9q;(QVVGw2W{fpbAb!V&E&F3f53ElkT}b!txeQqC4~%g zGrM*sx|-FRv3xDme(tyHXstQ%2O~hq6Ka#JwHDw)DewB10Pf82umv~v~dik-xGIt zwCt!5#m+3IkPDhO__q@IgMoG{*wRu`bbNdyh&TOapkwupjdfj#3!?6p{0frbpTlg@ z%gujN>CQtwDxgR8dZN7~3qUepKslqKOpKpXT$n_G+b+x??>7JRyYN8MU>X8MB8xAG z|17r^NzVB!BySr&tOp*@3#pU+%FN8O0G`OMC;%7E&hFfBgf8=5D|e>2FJN(OsvE%M zn>PrEF-drM)B-!T`XmyOXn{KfViQ`NLTgnJbVZw|k?fCHZVv=e@O%P(7!qgWJEWI>!X}-Zr@V0H$ zL(i+)ik8msp-j~u@v4?r@e8o(mOS)QUwuIvZSAF?n?*-M(yH$co%i+FEvfU~iN0f2 zrp#n;i*Pb*y0LD0kRfHp)FD3&ZTOa*NJk|ktr(J?Rv@`!Y&PfQFJHclQO*o zZ*PD96*|Y8bn+wVnGqp3jpU$CvSJ42t{!%PyR7l6j?*axMlw^_ ziJGcYKg#d|q`*W;f)IQM3x3|2{KYXl7|ivZ7%Jxr%dMYf!;Rpf;}E7ek~aX*KZ5A;LT`9=B7j|>y9I!(^72nCYeul?mV9Q_wo@dN?dX8@o8N%?wU z7}DLs;3ga&@6{n8n}mX%c>mQ~W8f9i;0B}Dm0V;9cj(ct)qc(EMz#|n}(vphm`Y+ zi@wx1oTh-6p#xtkYHHqfN2}H;hFGUhPl5I!==}W>xaDwGe~!9CRrGcI)rL?|cW~gv zJay`R)LZp`?MJ|wA*~=Kb=vD7P!32mBx=eH1C2VuuRt=#_J=imqbksIU1Tr=A|jA5 z#w-`V3!-CeT%2^rXH#AXOkg4)EdsARvTLC}Xnn@;GSoE?;zRNsg%eD#6{~d_^H@z( z`-6<088`DfAmChP+#BKF1&@`Rn_H^0V00Co$wm7@9!IXA%h8XT=y?Zu56aHSwE$|! z$-xU1`^kifiJ4|~J`6nOzhrZj>YC4X4-S$6#V|E9ld!bRUGkizg3MyG{!*tX_|@pZ zt>F*5P^ENx*T=cp*|=J{>L3vUwoiqFf|BRkYZ_50q~o?y*apCFZgUa>vsWFrh+F<# zEXAU_fagFs&i>%xq(-lT-><_zx1M@AOC|I-5$|UDmuV33#*|FCxLVhHWohXlUI82g zL~cUZ-&yqcd2vA9NGEPia$Rr5bVnQlP&}oGnd@!`42lLWD+;MB+&fMG_9k>X%q^vistnzYn zo>JT{?Wu=sN)KE1n>ROKYnp)_9|}f9uRSW{ftngIY)xxq3q|=ZQbO042;qd!$`6#752`tDDS`@lSNuq= zV7B9NwW-xhe}kow>k((~*VC-rEL>~1_$$E6(=;=HEf9!`ii#|1j#w(G)n+Cgub|0h z`uEAy5EQ!VIx*E47ZH(`1zQ(JAQi#TOu{udaaIL=Bu`IIl`Ye!n~7Qnkl%n(yE~Ho z6H}%|!R0T1N@Jd%g-Z@wBUH?3v-r@t)<0EK@Tw(b8qHVl8(~nn=3<1-+=pDVS5Ha< zPvEtZUC4dl*!t{^WPkW$lZ5c^?Ge(?O<-%qDuh2E37crnLD%4@Ct@As1pTIL)Ti?0 zupxJaXk-8$^8OkhcqA$h{jgz(D!VlR3wXt3^J7%Z@^ui#tIr-bU|Y`4nmRx zOx41oJ|;#+$&y)Vdr3`Ho{CxbjPz>``U|ibM*Kf+kd!aoJ7sQR(fsPJm_LNJ8rs^h z;Q{a_x_uW?Df-uSvc)8G7?!LG6dp(`(gXZ~{Yfcvmqbv6o+k&BToA7pIan!9F~oz* zW`zp!ZwhD5Es)I##1A>qD+#KDN^vV_*mP0{ za2^bzN8?_m2uY?JIsr59-+N>ZmWISNuNv0*H{id$-M()`MxkkXGvV z5Mf|opjQC6sgMYK`TDg_8;zS{pRSG5>IfFNtzgRba#vp&jUr_H$K4I2S0HQ;EETi< z$RGS$_K`OmU8>n&&%&lPX!fwNlMIj#Ft2bXP1x4}+nI>xhX{TT1XHlgbI9Z)yt<8_ zcN<^ac{UCE!=6A~0=?8tho36A*aNmy>j~VuIFRpFEj+#4tB5jDRl3#Kcq&8yFHu z*|;=v)gxZNo`xy~`*Xa^iuzultF6z%iz3)-14vip!2@5otiFMP88By4=G4^G(1&JY zyAv^sD?fk*k=;L`$qdcEvp(Q(a_L`$YTgg@_haR%Uxy5f>(tByiR>Au7H#aN$f0(~Gf?nL#D(OqnK zZl14vwM)TI@aj{(((@72HPT>U~Fy z)S0&;zYF5bx%`p`{a8T(QAHUguz^gv{TF;?)sxKUn^LI;p$KDLlNa?zBoKBltiusC z>(Q&#>+T;w)pY$AQ2kw;?N_lbm!DVciYpLZ`nx>_&jm{Ey+Utz#lo^(mP|yKOqbs! zQ>7Ylv#HO+{t9da%u4$ZMR=CpJA?K=?j`%j{RaQMoA5}yVPbpBGt`b3cIhMJrIn=e IB=nyBFB1Z$#sB~S literal 17047 zcmb_^2RzmL|NlWKn}p1e*)dZnqs)wiBqxRJvdNxB*;{sm3Xz#j_6nWI%-&hqd;MRh z?*0Dn{f^)GKmPYok9!s8oX_X;em`H&^}hb9D)Phxv;+tQf>_~(j5-2=l?T6NPU69z z$lWw!gMXc{lTy$)3IDjAH1vb7Pg&nU*&z^w6qw&wUBey+2*f#rg3NUdr^KaUS5=L> zN%$*P-zvk?PvV`qJR!q?i+b|PzgAEpK)F4hQKqJ~fqFVyEnTppDe9_(zQgb92y!5@;qqvY(RT#UCe$^L3O;F zeC+@I`#nU>GhD*3q@RVe}TqHMk2>xXMzEjg334 zw>H4O}$Wnf@%+V~OPvng&y+R@ob&MF_`qnY(` z<`kKfUx3K>3M`f~kHae?&aOJXDLmp?i6?cL4#ADw9(+c#tRvF_&FzpkOt zZ8tr)>B8UiwZGplER3xE)z$4?x?Auu>Z`mgMk>$B%F6or`CYTKyQt$dj(eVsEzXLR zkWgA%n+`5B&wbxvXLnb;h@^=o8i~S&j~Eg{($Lt*eEBlf{?<}GwXWOKa8`M21fztT zUtS)+`9Q&2^dvRUJs;UXs?9-0L`z3UV|ua&L9iUo2hG5}Jr_e`R5>LokZYu6Cm7cL}Mc)<-DZ=~Fm4+IQ?1kyTNjL}IQw6wG|20;%>t)I%u$mE&zQ_otmu(UK@ zpXo5Tbm`K};Fl!vHuc-LJKEqgm^X(oAi22wm-_R)t2TSJXO218*zzMHA|w_T=jR2F zkC#eDjo~?HuAgF-5podq$>=oYH)tY4cm)O$ejgm{*na-v1vX-)Jdi-OscKB(7S5{ZC5bcSgr^m;~5ePoMToZ{;j;{9~Jm`emDl9Aaou=zp#*R+(FCVq$fn%`SmMeY}G`)%6+rvZhw`lFbR`H(8Kx{4|i6^ zMQkQcP@F!ERa2QhuwPcaJ>ohu{h-2Oys!GGsBtzqAt5mL)86OG5>p}Cxk7%amN5Mo z?53mTK%!{N>=mEjjb8lsi$ZO;(K6LP_{&l>}&alFd>jyBRI z-G8kc+DDQHEA^z#c$VKkp6bhaP`|m*2e-lN;J_^^I(nk0Pp3Xb+E?}NU0<}sKGF8_ zXmjre?eU3;XVYyltYTvHta3pJ1niBJ(o!1vP)1oD9mb*I;qX_lf~$`d0Qdjy2Pf z;Jdp%o3PKq!GXU%i*C+)SdZN5flC%}-+L0cjf;yrzBb(^;`o!EfRGTga<+D#on-d$ zQ>o8hA{nTKm$I4f=5iIrLF8GDO28V?Tb*e9F+X1yOedUYF?iYSXm?igxCxe9TBt;w zobgq4-m z&dyG(dC!HSx*J z$hc-;!1_+*)n~S>*>*w071NN2%S!J>KmWvSHxy*%$jZ%iBeLM5%vKa}f6tp}b7Bj8yX* z@^z_VM6}=4CSy~Qkv1ApU07(d#5K<_N2(P#QIwHpI%WE1Osc*?R#5VXU$N#iTs?2g zq`s<7s@9xhiW(w}HD%y*p}NJg&3uM$6Rt2Iwz0^|zyB$V$zQ%P12seto58^O_^;m> zk86$8i;Ii1wy_ysd&8;pKxRogt@9-2@^PP=L}$n__@)|TCGw?D%+CjGZ8`9wXoFu2 zo=I{xE-Nj4{o%t+a*J>ZbpH6%luuoqRMs{+Nt_N4J;HFf()sjcb7+anaZlD=a&mHJ zh3HPx#cl2pHa50`;~C{8(~trNv}nKrY24u8;PWB9%0ih2S938lmKfXA*_U_J)md6y zUI@mgy=k406_}Me533OGzh@T(`3QtTl zKf2-u3+S<#ncD5!-sG%uHoOj8rwXJ-q?#`IbXM6A?XiHe8$st*LOI{r*V zqHc{OM@Kik&&o=^kX2ghq`JM{&T{K^m&js=sZasXo2O?eDfydd+B!OnPIIV4v1OIO z#NS$L<14Ik-Byfdo2Gx;FP;ZaQ8`(H!Js(=7lFa)+wYXGD=G#|p}4rXZYV3u+_>R4 zwcrr}^Q)_?i;Rp6fr!0g&kdjL>%hP%d3hs?kW;7GUuS2xk90T%v>MjEyl^+qpqV5p zCdOc>)MjUr>DW)epy@^uP`l@@+dsz_2MRNCbA6MOnRHy2E;+fnW?c#F51AD~B9RSn z$5+0aTn zh3K-dgW=IbhSapQ&dyF|CCyM@QYIEr(X*cLvW6Y`&)1AQj=v2LTdX>K&}=JXTZ752 zRcwA1vo2Is^_FL1-48eW`tuEZokiK%@ep|)hc1=T&#crUgE1)YU=9Pe0+Sa!mUVdZi0b&rTM$gz+z?Ek&H^n0Prpn8&tQ#r1n6$3S1(;CX5_i?BI`+@QZ?dDu!^M4A=W{Cd zvIQ+-tV4KI=I&i;%h69f&YGcU$z%Epn%Q9%hw7^4Sb-rSP0tCbRn^q65dDQFq2?8{ zVwZ%3^m?;VuoD|=z46buqbT1pN|r(HY@?M_cme_!Y{KY+7vcKoUOMW(SDPr03DBr!_DUL=A@Di-?G{ zY>8^YHvZh!25XlH)ysFLkx`0XK>viq(T+hwQxiOQoRpLl5$iFp>^L#@MYwlq@803T z9T9O@j1}GP&b$q`@uj#YzvWQr!)10Yp+{Zk7l+DDdme9lhW`9%8N?`luQ-<%|HO&0 z%|6{`;3qXS-Z3#T=DKFHakA#kaIf(2Sgu~B%etG}lqMfK256j}jT{(3z&EjSa^6^V zJ-(ld&%QQ|6BY5ccj2l3cVBclUQATqkBK-oZnj`)wZb>%f%>G(5w*7s#?@)(rKP4= zHy4!heaTwKfJ8PlH?#8de;v80_901vUc#-^klMG>W%GT{J~uaad$Qwd%i79H7&0)d zHo_nz6`LIq+3Ew79H^njojU^+qVKyaNS8;dF3gz_Mw1MJE&&1s;CsJ-egx%16m{Q@ zl0izNYy<~pymaU2V-4;R_x|-e&Wtc*sFbvdSBi=+$)LWq z^^^%ZX*$A4Fz)=m+D75m(0&V;+e=Pg)b697-vGLC<2ea4#s5y+{vnBpui4vgdRej_ zbUK_f{E>>iMFapgbJ1Kx(919)r*eq(Tq%#lsISzx=qP&fbfX7;7vQ|~cw{NF`89y&9yeLFV3`(kIPgK~}Gt|++ zK~7#CpHbY!&}JY4B)4{Q>SOUT3%qY7K4b!_SPRWS#gnfrZcJH7?sbMD5HY+D>OMaD z#_zK6!=rCtbdp0k*6YIE9IXfJ$LOx&v&!)KyF>R)^b&-v<)Hp-lV73H#XvihllTUSa}%O4z290O#4|- zpzwN&fNG#|K^xWs?wp0mKQ)!NJ?c3+F?v^1vmiE>rgvoI3ypy}Ja8l*A9}t#D=Q17 ztW0DEY88|#j1ULl{!RUpXcc{ZeXR!%7=UTOs2B9Et$`mKC@{KZq+K2?&=jALFi`2d zzIRBphzgZ--9jqeyjfI!Uq|PQ!(u;%hV+LpT}PK|An^fkKnQ7ccPOqf_(V*8{${_`S$1NWl1K;n7i(`hQT}K?1$Y4%+2UGH=2f zQTszG>%tu@+-HUao_$5M?SC|1l)G4*G)L? zeb~xe94YzFvY4lM9~HVhz&gJ=WecAIXrcJ}TF!%tl?C17@A_1Fu97%4|52`gb35gV z5$i`cm$x>|>HbNm$0pl(4t8|rFMnk)$1HI)FK!TOHx=jMNcM+-uBK*Y-dR}}KX#$?%UIH(GggrdiSw&zL_X&Lb zZP9k4xmCWZjfhuxJdKr^IR$-1OiV24-ge>9 zOzUw4=-8f~GcciEBqY!kTMj?=Q1%>LYPGo7|B1~fBYCTyRPrFqWbEC|1nZ^mm+n`4 zFc1?HgRLk3=n)r&{Lx=|a?;-3erK@|ZGC*?Za!Ro1^`*>lbdK=eZ7Ew!%2i!XejBy z!9kwQq#V7t3nh@$#?LP=e8{;fA;Ab!u?e5a%?rlj{R#)-Kq{VR6%|(jE5jlqz2Oh1 zW@aX~mIilvay@Ww-MR&q$;aa2tzAK{T0O5$(+1!+WIz>xN{`L=WN~tG*1(o%cYRvD z)5y0n5y;0PBGP|QawyJ-0N07%^T>^e?sEIYS|qPdrD?vkq?IJjk8gbdL7cq2O~4t! z1~K7X@jP76&G$U^h;*uwLe7-|sNJeDOKB^`SE(PS(LSNf8V#;_T-ETx!$$RI^UcjHP>T|GUGUtV1m z&Zq>V^NMn=GC67c+~zjRp%98NNFa)B{ql}_kg9p}dR0=BAcemrS~!=di(6L9Yk zp^~~pL`3we`|w&`PdC|^W!x!m*A$x%JOj|vU;19OWvR#nORnDkG)I#2V5E-w=AF{= zauUuoK;T()vM}`a>IPm1$FMEa|>skedr!HH3_whXJ^JMrsN@94mWgy0f zY`=@2t%`vu6%-RGytiGgt8JW^BxW?q{#N>2Gh{5_ISbNg)WBTMp!g3qfXSD{+SW)8 zE+saU7_g&MV}Hf&rMEN4ip2J91(2*@2Kc6@bNn1Ct7rQL^B;U#DdRY0c3za&*Z#1} zN^kOOPX|jsDm+i;>mU|<2C(#7`mKwwKQ!;(S4L47a_L1X8grWSC81b?iIZN`^^e7| zO^bY7@M9#P3v`U;jOWetq{Cuiq!-A>6su>=t(Eml>@ zbf~*y6*}SvB);8JP(0<%`8fJ}Gu|!5ew|d~%yKWT6dc(v>g(sdOy=XLS3CHApUJ{er;q#aZCp4JyMUFPiLz4skEq4aAZ{1o@zJpQV4NU zR583&ge|>oMdD}2QFq_!!@=t5Eo~e%@daT@+F&`gyZ0GS($aO2*_f}$Osdj~H8b}u zJY99eBJM#Jsi-T?1EuV~a@k3}Ym4HN(&u8%84Y#N=q-Axznz!=>S^%l0k^+qYb$6J zE&+(bZ}gc`IZ=ch3`5gLkHRm7_H8NNx+O0oa{{z9#y)C`;cH7$FlU|U?=Lc=X1|pb zw6bE|(9kdjGqS*FK&BvBhO|a+0?2hOW?lj)X~Cc}BIXZVXMfqQ_uU=fgo=!;2DmIp zXp8>5ryo#-a?!{ngGsR1ker-;K*7KyZbPF@VE08BW!jss2x&CSS;g?_8uNYHVfnv9 zb?eL3a;ua5u7=#QBXW1H{y3kqt0=}rn>dU5gP?%v*bT{FeB z{=1m1jfLR2mGlPLC2wzk38tfg4lpbsnA)9PUC+SFRfuo2bA9gPvk^zs_dy%~m5O|$ zQi=>C-MtS~qN1W&WwvbK7w3c9hq5()yMwMd>8$SPSkgFHbdP5?x~1M!hy{GC606as zkt)}vVfxf_V$Cm9((A##%(q|Al#!Qji{GpSv#saU-(}(RgoFeJZMI;Ll3;`4eEISP zB9W&cNU9QKD4+H9XJlm5#9cILZ}a!}&&bY(S?rB;E`E(Ir@?XM3N7%2Yv6t$^uRLu zI`_oE^5qiv_WWkONDx#L@MOVLD|U?ZlUkvt149>wiccp9QU*k5^&t%v6&|qP0m0;$ z3DO)hA==L@?m;vH*q9VR-@pJQ_|vanRp~{nuk|W34w`{+oROJ%T~m_^c#QEEar^lw z77o(2SW^R5(62xNo3c@bW8h%DetizcrBXcenexN{J=EhW!xs^l?NWrq~YgXZAq{*wriZS-IaUL?h+~*5j`_^1`yZZ>@|= zCyF^!C`BV{-`~mNx0_KmG&F2UQc5C4_pN=kCKWi_2WlM3=yn*PH5E1&BG%L zc>5(;k`$)8&1BO<7|#WU1D`ubi1XOtDq)YFJasAsd9~A2Xv^}M?3puXXf8dbbaQvd zLSSqoFg8b=CW%`Mf$+dJo&*M{^yw$ZqoR9Atvm!HBO}5Kw$I0pA758g(29KiPSY^N20z32}XTNF(7E9T<{^~-B$P{Jcdh)MXwzIa20Mg#yDP&glJ`}xYP;LI{l2=qA}M6*-e4*+!Kr^ z3DT4q5D{*9!HhU5w_XGHTdETftzf1=OhSA-xIF}bBv*?SY4Nt=L^fa1Jm*j({ z*)scpax^{H?4MnLZgKvR_wV1Y%p_RpcfC;nL=HbNl@1LEAQ-A}L?6ts2ndibSFV!) z*0%dDy_6bmX7|hf!r44|v8*&O91h4L=pw-Fd!LmEW05Odm$!^bp%;}HUJ(r^7 zV+jVW*B*a~Fh4&Zg!5~2*!&(lFO%Kn2r%krJ4{21kJt5s^4G@$vrus=JU3-jg6@DzG1V>ZS;*I6K92^3RIFMIv}+~ zfk^5rzL8m4x|2Bwa_bL_E^?AI8sPi4pzO2fmS%!B1L7I6l%h(-e9$T?4}O;bw@%bs zAEZ=vxGNZL7&nYl=@fkCdW`?}PU;_Dn*I8cg(?@)8OzgrM&vAfI(CqSo!NyYfVfsV z0Unm>y?dXHCf*{Yrs`coCibrK!|+&~i+3{i*Qi8bqBtEL9TCr?%ARJe{orqUupetp zg$Uvx;g)S|lM|9x@b06BL`k5D((cOXOD6tJ&|8RPzv(jbI%ZxrrRVYU4wm8+QN?(q z&W~SQ{D08@pwz9=%+`83HDw6Hd#K!=Ff%g~xYBiFV|Hcs$ZTg|E)Z)bW}ij8?pp|t zj}L%={8vZ`-l`G$eDV0^J(Yjqh|v(K@+v2ZorTod&)*-|A*o?o!E=2=Efnf3#_k6N zrb;!3p*+IE)Ic}2K!3Qoxv6SsoLB0F@3tPR!E)Okb}Y!QE&(Ys0fQMMOEf>+dk#zn z*r@c@{WUkIPtjJx<1~a_>g5jVu`5CTh~-e5Ll5bY&`PoF*^ydHgf$9(D18LP_G7gH!8>oUN6Va2iO zZbt$FLHL0nB_%~%Q&lAcIs0{Z7}CkcPkr83Ze$1h5|Pp^3#k>PaElMt*t$4 zHN^ZXEG&G3g0vYQ0Ru|DYxCa3N*mvfJ7zc9ldw$Q-&_o&8bZA{lqYKkx6?q8D>gU6Y=! zI)sLSR;5$^?&iy+q!8%GtebpMOzlV4xcIr0VX2Wg4tV?e;y<~6Y~{qY!=i)gU@W6jZN_AsfvuEsfQ_`o=hONiHp% zLDD0!sJK`?x~@RRXt}Q-17+Kx_T;46w97~jy{N5B2I&vitxDLMgwPB5tnLK1e9Qk9 z{+I-__}fNDbxSAgCmK#ceZ)4-i7QZxb*++lf?n2Dk9!TWC4`rCW1FF1%EymUZ4F8& zpBCS3`bK-wc5tkgmX_`p$hbRBPEDPNY;9l*jDamQH9c)pW@-qD6tq3~A+8xOfXxTI zzz|JwwnMFWQdHiC2h(fw)A%1_-oLNI{n2@=%|VJEr;KnYN)0~qdqxo307-62-@?9o zJ0M9h44(GM0>va>Bd})u7_wI2kYyRLH&&2n=I_#aUxa!2oYjq#G&o8@k34I z>QzW(UT0;sxhde7n3z0y@&r?TDkw371U6Q}y?jyhmV~EL$z~r%bhcJLHh5<4^A1Xf z!eJ5&pIxb{N}j7Xu``3JWKRK-iOHDVE%!S^Jx(A>fn9*t_yS%nVL5^SAvPFIEUpzt zOQT1`&?70B)p9xVUix)6EB7>llZL1iX%c+;>%tw!z!Xr^(C`783&1n^oLc9ax_ZR! z7Ho6aIJF>B0I?vl9=*Mw7xb_-g6*rR(2pNKuHC;+5Arh~nl>1Fk4Dt?JYo!<%t=DR z`e+{QJu#2YR9UT$rfStoSYGgu-1g?u;U~X7E&|J19tIz<^HBHwt-r(+2m~xn_?}xu z+dHe1oZQ@XR-XHV5+x86zAh-BP*YR8br@VU+ZAd5JK+%Tc`VXd6ZpN76JPkge_ZR4t1`YDio)B?( z&!1KT)xXtkq8EhvSM2t5zsQ6?pH<2^d4%dL+4GU>zQ1b3wYvWSjk zGcA`8oVm7UBe4Ki^P^Bl zDRg-lPw5yE2Va=}nz=f}m{<-hd<4Jqnjt0)29XKduGDs#0G1{erbPpH!`jgif5mBS zZue{AuP9>tZH$hf$yp-2o&EiUm}Ix4=p-di3#XkGW{fqAX$AcJ`4gkB92_pgo-*Ft zmB`|AwF-q=FVXxi>Bn0z#Yqtux5?T%uTeTAT5Q0x*OHD1p6gdfZ6XJAid32JkVC9U zCq2c8V<3#y(BKgg5;`X-$plo+X{o5s`o~x1?w+3ULbSx6E*Lz1z1_9xlcc20e&nnO z#NVC%r0nCpzH0sBqeIRM7o-&wPRWJP`$JV=!`aQlLjp=em<*z&0*?j6d#YcVJ^(S}MYurTAV29ad4 z6OJF(2EdgySZ0rf`o!s4PK^jS<+S62^@ZbG+0NkxUxx~VCc&f;;}5MG5i z48z(D1sK1e`iH#Mk(;B1dqRACRy7ODHkQa{DG<-qi_z^TGD);#M9Y-Zu_V-{4}JMsul(;`mqbf9fXzBSH+KrQ81Sx_$W5lrOrhUn{da+Jj|lpVC(nWh_nXB1wOJ(A*pVOW)-CM?J`ynC0TMg*_lMAWa)ybIGXTK z1HVdHk)pC_4>ZjPA}$J%t~kT5CQNm$u}w2IgjlUmhHZX}f~$=eSNRQz8wJ!n{H|P< z>7aO-F{tzr`4d<9BgtZLK#YY91KsZohfSZV51U;df9v&x5uIA|iwsmMg}tkPeB%c% z|L;$s_@V9pj~D1hdKqA~wYU2~e=UZi@nV~)P+e{9Q>E+UagCAxxPdYq*dn?rjek_h-B-Jj^`T}btDLV=)0|vE#=h`d7J1v90kOd}Z#3m>4az688s(fO|mM?Iy8yUDi6W3M1jkcm5~9SYcV*A#ZW14EpQn<{?W<0ejBi$Nc#^+?Y}wQe}l0(y#)af7H<$BO{t% zlRgp8Gr9d|cDO~Bn)pLj`2{WQy3DCJjJ^TlKAhB0G27X3g8JPJ2b&g*3s;p33!%hv zIO4p?ITQro?}u=H_0BOZIs@q3M11)6y?A-99zFm;WDlf35UAjbrg@dg~(%u>~dFdg92jq{J#5YRJN$r8T>p`?xnV> z&ZM><7C?Pg(W#?KikhEWXPyOKxjhvVzw`}VFvMCYyLLWzqQ{Q=EaPcPG}3i!w^HWw zy!cF}6S?cS_%;Em26jD`ml8e%xo`umH$Cxcl5)*0qO#D>0#cq-<5iX^W*I2vPo(|#Q1%Z` zkQeob|7VS2fz3t*aZ7ka#IyExKJAxioU%IX73Ob0U#4-~wXkD%eM#BktV07XU72qNFDyOh71WVYHxOYr#wX+?GVRriKO?pwTT! z_NxHLTEhyKj}#5bhWuJLpKmypLSy+Q49EkiaG*CD7)%gj7w zRee}om0(Z^R>N7KqFa_P$UsiQ9mZS{B%3YqZ@UsI$Zsj2~&5$@H}@cD$z#iyI^ zI!!4z-`ybor>JGgrwl;2)NvVFFX!3WCtf*@T!+|uH?K+^Y7v@T_Mz+ms&FFgkIws_ zDGT_5f2J%jk|9}X8|erqT6#K=1DdeVxI;=`KXp+z16piMD}lNP*q{%*q50MI?Hf52 z)w|LO+>F;=T=oX%Nh_UnMr+5qC$2+iCzAs}xtR7ws5Nty*0pj`smuwKKFK_FtRTM4?Ln&i7)}Pk47awn4qL?bI(%SL_IIGKdmwf@w@=BX z7mLk;kCx6b<42t9+XMZsFm65gNhnKV449ukqYnexVUK|}J4sAD9eqbvmk$*}0Y*F` z)U%XpVkOz_I-U#tw!ZNf_zsAd^<%UBQYD@0B|h-f_Ru30 z|E6m3=^|3u4weRrvRR#RLP*9p$^ZBRM!Vdve*$=_F}eP!+_Jkru;m(moug5M3i69T z;JTC<1J@BsjFEU~WD*>*!ThDqHU`UqjzX--09ESov9TJXt}zT1h1w6Mp`7T7^`#o; zo2k%!w1pFB3yj39n>)dLDp_kx%X zNV#8Em%2F|^CP6@jbd8>uT8{x?L3@keRd~H^C5`Nf(I9a;1m-;0*K%6urM#s`*i?S zumcMW!Oubfzo~)t6Gz*gYg&E^FMJAk#q%5-lW>w1jvmtpThc?VjRii1+wtMH6Z|ea zbXaueD)xf&Pv>}eh_SG+psgBSl9NLM&4mb)e;bHv_n=bWLmMVTEp2RJfe?W?@sOii z&8yT4NBN*E`xFYEtp!ITrsf%hXi;uBL^$esEDo3W;&&HFA5LpV%pyWZ&+(!PPI!Xu zHbPayk-C!t=g*%2Utnh1exdhz`nTFnwLSLzot>KI=H^N_FvFE$jF6CY^*JV?QZdIS z{|UKiAgJ0!cmc<~QLdx(``rng4)7ps{#%X%m8VK?C^WGmk;>7VN(!sFL=a>{{~uFV zgaYZyOIc8Yh6V|M9S-DG=ai#Ovl)8FoC)YeJNs3slkB4YRwz>XbR>Dai-rKVuE3~` z(sPGQ)d?%>@7c|A`CDUt8qBdp=mH>hKha~#`G)>2pzAw2I%cK;$sm-kYi(@}`4E8@ zOl&`XN&b$8#u(tw%rp#DI06EO+V!qPP%@L4W8=^)z%&?ujAM)rSY8n`H)Qj1v;RO? zb8{pKqZsFcaQi)N?bTL}WW9+7f2~q$=8yM2kfBluh>2w_EHGzlu@In@n!t`-8sZ-O zeRbX7D0#u7OlWp-kYrD8);`5W*ZX)zmcpFK>TT%cF~%P~sF<&l>g(sz~a_Vg@lVvYnmIh7iURu(Sa%!NJz)W48( zF0#Wq(vQr^Hh+k3gBnsO9$~gSneT{i4E>kAVCJ!74xPUNtjw1(#~YLw{>=IqN|6|7 zM_1MTBGiBWf!K^r%HJSe=MP9P2TqQGbYg(?7Hng|IE0t>Dr{mzjmcjiI(j9^_4%(8 zl!%(QI1sDT)63QT!eew11FnSiM7EK7cdg11M?RDj266aoDnjdUHVjS{(o! z4&Q`nGp!Bj{J!yTJ57Dsp)xqGUWvF?|D#e7wnR+{4f6MnD7co X@zXfmqeJ*VOCS_vRb+Cc^q&16U7YQB diff --git a/notebooks/figures/03.08-split-apply-combine.png b/notebooks/figures/03.08-split-apply-combine.png index 034abaf56bed1e877eb1e1a7b72174957ce635fa..a041b4cdc743ed4605197945e2f8e35123b19281 100644 GIT binary patch literal 27769 zcmcG$2|Sm7x<3AqkPsnRvP&vkXt8BilopjxSt3iaMV82tU6!H^WsO!lQT8PgvQ(6P z$(FsW+5Xq_{mz-0bI#11`Tbw#^qP51qmSqFJkR@m-}iN2*LA;xP8>T#w~>7#iA18) zIIOBoBCS&-k;pPOP~s;_J#AU|pY;yP8mBklkNXDGK>UAdyTf`8BoYlH@n5p$PLE~$ zP})&V*YT9CnWMAu)k`F6V@JCywvJaUFY-8Dy6RwQYr`WUx<^z(n8(7=(N0E8>~9|s zwY_RCwwGq{J&D9a(oj`8?eb`>)9w73YsG8RTWPd{Y zruvrEKOaVXQ(K8TDiav~=vVwjsqm1~{LvS^{4M+>Wu%n+QeMB=VCkYHNv?YPTkw0c z$!_j#b9V~8`wTc1evm!otEC85u?cAMOPYFe(Rz9mALFClnXQ?zL*^867>+ z5Gz0O<>gj#N?N17%Ajp>E*V-?8>p#y1q6IOR(`YPX`IAOTi0shsd9E4xi8Fn@E{jS zOib+h%&?NBwxiKfLBS4PKzhW+aal_oTGg8sszb%xu1J+2<%oV@&G?Glr6;74WR)|Jv*$*00Smwh@5oPUj`ms~V9R&VGt zE-<>`J8J6d2eKOuTKPEhV+9{z1#`+j+}r)_jl&M69mk%WO*bHIQ}B3n=B3W`@~?*O zjFOTP1$y}z2GVhbl^lCFW8(zNbu_%b`8%;oERr=M1@FYh9=mpJZ@?x_K5=mdFL}2) zR(Q@_pE(L`+lj<nVFeo-Q97kD@)nd?fXb( zbr0<;R`F(ch>PDY^P$SNXyPN?ym>QPej#IfbnvTOt5(Ks+v?8Q7G1NoRmI+xChpqr z>sMXDV~+wOBk{zKdRh%VFZGmq7tXevt9>%mrB4U`{jk{eXa@!6FoiFCwr6v_ibfisVZ5W72|Rn+f)4e$L{2Q zgvJ706xn|XjW_EB|BNcLzl7QQ%TtM;kZj@;6W3v*syW=fdzT~>o%H0%`W-uVcr5f% zy_0a1(sG_l)y=$lZ}-`*U(*s25)Tj9^Hl`U;}b)%;jKDmA0O4cwr@}y?< z=DxHV+S|iYyLRnryqv39t@!fGu2_|qU$jr2OtA1@+9@r~hP~Q<$nD(qN+WUBxY?P( z7~5TsQr^6~wUwNKiHV*h1lu$F^?nML1nEI-j1c8^JG z4gTO>TcA1=&h@UVD|TwiF1cUo*Hi_)q|2017?=D9+>pyi@`Jl!0+ko;u<`J!2K@Zh zppb3beK3An=`JbG{U^1|hDwd_p*7Sq>dK^wxPY zte`*^;kr%6af5~MOmvv%?-@(dvABcQ9WAF>4NAH{K9;54xG@p8j^DZeYp8+PPh9R( zN@HVV52YOh*H-6CVg}rP*6fHGU`~{eK*noI5ZJywp>;GfFK;OF_`$OB@|#&%62%LB zw_+x^xw(&DzPt-}e*Udv(Cla{6DQ}5)+Ms9?d`wnBpXOmO^3MI^7f}vwLU%0T@}LS zP&?l!CCj>P+m()#)=_GDdh_n$8@l@X5_oezMn@O>Ziy{SS99BXYTNXGGmjhiIZ%rf zk%>2_9?n(oxjN+8oNIMf^upUpV$rkBw6a@iIrh$!ZnwPhqUp<7>W9zxpt~EbDGxL3B0lH>38qmRppKa-@3IpoD_b*Y3$*2$9Q*1$v3Ot^ON+Y2+9N3etfFMD~hwfJw zM5fg0wQfD9)lMuk>BEN)(M2gpcl+yitGe-NH7W;g>i<1BG~HiK-q_ekQoM0P{#>5T zrKUu+Jog(%;%M5NSFk@DoV#yS?}&51856@n>En$$(%awfP}};ot&Lq_&3dvPsp;Em zYmRRBUvz3}YGWO5B0qmVy^)4yvDR?4`O2Nnl=&MY&B^U%S9Y1bdiBcYYl~xHcX4-g zG<*LLc2AysF~guHkr_D4kpVTdwDx-7^V_k~pU3Wy?=PU8Lz%D}_^^eRl3dn#Vtr{_ zTQnItWycqf)|h?P?8lBBJFTOWb@|J#p1EuV(yn_O_wV0NGU1n$V&U!fSQ5!LZy4+k zR}kF4zt!cH=jyLG(g9gnj(OYYsNZAR4K}h}okAia6!BKAY4v7dz81&-Sf34+mX=j) zk;pbC;;bRuTF$!%hK3xzzrSOaF6%ZY92*-ex6tEL#r62vGa)XQ9`Ay-$?M3;L%7rR z>@+zOodp~*Nw!0o)m-G_1`)StR2kXYHXve8zWh?fCg$nsNkYXt@%%JN4)G%Q zdpN1Gs;bMrutmmYD&D@Zy~vZdE(*0Oa8rV%(^Jp2)%BE=`P*Kqer{OP@HS*h0Q5sla(*67Q>tgnY zQ*pcBHuPBZ>#q*~ly0anSRYgUdv=s;xU*n?O-+r9o14Sp&r9s=>|ftr8|AFFN(~92 z?OFT%($^x~bkFG~%bXc9--(F{Q&Uq028MWxu!j#>Kh)MP_V~~<*EZhCbsPzHyU^Fy zmTQHb81UhP=E1dP2QJU$Y1v}+^wxgtQ+xY8SWKy|Yi65>e2;2vfAwnL_nOEmwjI1} z9H=3EG6=dy3ZAR4wO*uXpFZuYpIY4SabsytEve}t&mD_Y^SB%L8yipT+P!=F*DsTD zUuu!-7aoXS2x;irlea^6|G;8D_nOeVaEsROqT;-1r%s&kdhlRtOG}I9q2A%9q{81n zUgmWUmHW}$eefVgtxV7+=h~>wTc`04lb&mCt8;lJdkcLR2VZwS@PeMN)t8V_xbK_~PzDVb!PI{5kI6JZB zySloZx1Qc$ZwNSBdF|(~U)XYwWUd8o=2!0-AFmJNlqJeKY73U{#L1INNW`JFJnN~b z92TaG`}Z_AH#d$rRs{^?svbQ`>ozyWD=Qn**LSfc^;`gQz`lL^boKP^L_{b913iEK z9CzaT^XJvV!ot8?w@iL~er}Pgk2T56%1Q)=rQ_IlLQhY_$!T9uP*DAZAOQ^?l=@nv z#K(If#KkXv7V7Kok3wl57#KhVBsN)u?EcUYB^j{zYlu9Q;>4$$4`d#PAv0tH?6Me6 zJbU(xM^rSduu!g_ksS4|>Rf2LA)R|=;O6|dZ?!L62+huxbai!=Tb`<@4|878oIH5& z;Il86U%YrRG2shDNwpo|YOU5t{DiLV`K!c?e zJ0BlkNV=7Ug;9O>gVkje7$A_1p__@y#N-=8=kp>k@| zUx1IA!v^DBSE-K%u6@aQ)?a*M$z{INS=w=!fwWc3z_j^^#_6+XITY~bObh)ws;c~v z_U}YSR=ha#(q@?IZ6wWBQ7N~Zwg~i*k&%U^B}pJ>QG>$6Iyx+fCfrMZf4>UyN8{)$ zGYiYU7_#7?px$=dl1uXwok*iUJDt0Yt*mw*A1(3=4h}Xu9;|ay=j9nWl~Z9csrLj` z4{b-+u$;cU?7qCRf?ai`BmWM{sr^)s5+YbH^CAVXI4_VXvU^rmmJ0xT$b&aGeSCs~ zgD)a|uBV{Ly?ox**7m-b;YZXRdwcud(EVLKby1R7ql+dct^iMV_+hCxxv*}A*CFm3 z%odNRU!(a*@+K* zd|dGI5>-_gXDw0|fD+$<1FTq+SE;FN2kdxu>%20W{qg01j7-GChkZ~+uHO;gtp0F|Gbd% z^V}P|-gSsqvy&Or#vh4_8Q6~QvAUsw-V0rsxJebQ;PKcHotNA9?AeU>gS-|cZcO|J zNmX6FD?`Wz{ou}>J4Lw8rne#=PWGV9j5~PaYw-=)?c28_v1VGeieg7)=H|YuuMb^V zaEZ59bH<;U>+;Bk2M!#F|1`1y{LXsN{lMJZ9M&bvv?gMojI45wA~@?%msh`$h~#Mn`{$*nUJvOsu-L_EvuWfs|v9gLPgeXJs+& z-n|=u_FINA`MrDhOwG+BA3l6P-|g8wIHVakr^@9kBoi7D!I-0;+V|36|E!r%luA+) zwj(n~iTq9>p?K_*5ca*ncxH5Lhh1Hz(E(aWvG)i6bQr8NUR_>PG$Fft`!>nz*i)0m zp98N9ONzg(dz*I(iTwQeZP-FHU_!jmnrz~dvsf;y3Ea$YckNp8+qdlI=H@?t{dTpzy zNFt#XOwP%<`{T#uh{#BLXJ_-ehkHc0oYz)Y78Vx7jY>)VuhAsn+7HAG%|L1pMMg)5 zQqkI41h`4j#GYgGW@GmY=-aJYUhzsxM*)UV6d4@X(xUUBq3CbCLj6;M)AN@Z`wHhlDGTNt;($K)dq zTowl&NIMMDqQ4GRSHY_l6&2lfz|M<;hJ}?T7V&o3%BpE}w#oz*g_54@Xo<&)kf`V& z+7pxaw|TAYoO~_1|6Dd9__T$S-dq+nB1h0aEf(hAYFc$!b0qN;tNWJ7n(|zxrBqui&INK&BB~8!Imn0lI z9Qg5lx!p>fu(G4kpxsE#`Ku3AC>`t+8Y;l{5QPu>C-{;DokI<;@AJdNd(6p134eX% z+eMaI^9{T<1nK2#p^}i0K=e4izU$AQKYurj-#4Fv$U=#91A~LRIF&Xut!rK{^4}@C zx@I(mfgvFRJ9h>(H)|6_gbeElc!-C|V`EpePn}u>I&Kk75KOmofzJ1Pn3DA@uw6mL5?N#VR_Rv)hSab z=%n~Bm&x+4&%Vgyxolyfn5?a#B;cEGh2+zu{PcL7AexMG=gtwd#Xjrk8c6~N4-Z?+ zO>`cywocWk?#i)bB8v6M!~LI5Gkj@ji9kY0yHJpiShKOQxzb(y7{%{&udj08oFc)h zS^OHT_x1Nj`cl@`j^Lwc1mq+mb}G@KYE*NfE~@y`mYt>#Ut1iCd*d?QCsNXlg~P_C zmzyH3O>?g)xwz!p?{xx|#e|n?kx(DA|JU!)bS7L9`S{YMOOJmjIVY)yDg$6&DSTk) z5ruW=Z*AQwhqom+UCD&ERP$m`Ik12a7)s=JWTXoC#XEQIApJ@p@UaF}R_R44jyaoZ zKYR!VNI}bE`>5A)^yX7gJE=NW=c$fRYpEqiuti^ec6yhZ|5|!470N1 zHlpBje#UzQFhy=jOG_hxKR9{ef|h{+7v9Xt1IE?gdwRTld@62mR@BzgoN%IWbkOs= zFv2FpdsNHJOF!OH9kgr+sEq!Rk)Y5}y5n-w>q}ODk7~^W{Bv?~am@@j`AkhsnbEy$ zooxM{mo1OGULHB_DdABv;+9f4t|z5={CIV9b3|eypAAZ2t~xmA zy>;BV>t68Nw=&>fXi|hC}VY&CEpqo=1o z4=~IPYV1nq+b>Tj4qv$QdSu&EA z<|j)=JpKW-+Ls9~W;I}|p?lN9H5(gIP|Cgm0p0xt45{~`qG}2zi`^>b-oHQWu`+x1 z)vKe<+g(uvSZV#uxUslW-xfe1o;*zUdE@2W=m2gHR*OdoWT>Jg#tLYOxvmfMl43o6 zTlUYDmn$BW@(L* z$VHouZH!;y5fTbSmFG^?IRbpms^B3<^tT4TulM?G)y=o#MbGv~+QI*1lKS+Im+4)0 zk9Nem+359OTVjN)#g!5l&rI8a&mH2?K!mNRg>4o+wPSt4~U&Uefq?i zGw-TGIb0`;=4}obph5ncZ_mF~^t`x7`iO+S`5Z_$$tz#QH*p_)<;ct{lk56xFcZum z>ek&bKGl~RWCCq;kB?Osy8a@V&5YNt&Cug%9%8(iks&@dKE5S}0vbRC$e??gewxYU z?d|QRCbn%kK?wh;-T-dowaZ!deik&^q#&n+tgMJT{D-nYZ3~NtET*sh76ZV(7q(sI z&8MfwBOgBw1?dUFB6tAw3O#6C^pgE_tSJnrQUEt3M1>p(Z1Hbjl{~UfptjQtiZqc3XUKz`R5tP$ zw}9#fyxxF7-#t4!OA6U0&4}Rfi==MSCDlKYj*OBt&vKqL0DHzNv#5PV&wuA2Z zHEX2oj0_&I%3HT?MKKjzQB3T-z3%YC?Z7gQj#3Q=m#$>XcAwt01$*?2coakE)vH%Q zHEoxWh(K@omwajVa~r`)NxS|OKnG$n(eXxZ@q46T3G*d$^Xgc6wIM1rftB;q~Jjy=(3ucAa0KZrA*q?gfEw)K!+K6uIxo0T3>7qw&~f)q=_H- z_%!hve?7d5=9W8xu0nL(Jsm7L;8mQ(R z`)vw)-M~(wSL&Y495C;zqV1b_^7N?*{#{9l3;6h*XfX`(=|28E&Co1DsJ zEVDWzE2|H5?f{-m@ZiBNf&MieJgEx3yy+N~=Fy|4iSOoYF zTEJs6#_`r5rX7ToK}Sc2R>K|yC_>z}aN57Q$(O_^)zK}eY;r=^7f^J8;=@TF$LJ{w4WU~uvCvy%YjLY&7pG%5dd=P{lDUNqaj zYgaJzr`{hwG$H?8C~(?-@F2F@oDiqhhNg{w{TM&iie6!v;mDCASWKVP)YRrXz6|q< zzrB5>BeBo@ASH=gwFr~?`ubR99G{g3L4{OmpJdm6?2^33pb^k;? z7GYgQJG+cTHs5>>;&N)Z9QZWwjpRK@HCTQhP)JE%E^8b;S_z;8#3y+4p(2{L#)T)X z&~K$=kNrQjy7l=f$3Y1qhY!zQ-?nX=ot>TH(@)d&`@6;67wnL3fy>e8Znt)Hnn*{Z zkW)|`2N=f$nqcf(wuYvrws7^_czb4cwh1bH@Fn0|4Tam{TOSvbwEssEFeogHlIOsI zhoHSV!tdO_?~e|%Eyq%XYrmkNKQ_qi$B(tZ+hPM()YsEt--FIStf7&BFb3m)Usz8W z4{l&!08MevwI8Q*^hMABgDX5~XxISWs=D^;`Ka2s&`hZn$IYIXMD%FL;Q zpunA4=d)dZnGw<+D4}l!&SF5Nf(<85ovHvyWu5hIpI<&Vv2}co6|v|durIuIG{z>c ztge={?^DHs0=I!5W<5(ECuzP3yN8OMCLSo3Vk zlJe*>{bwxVi>|+C5g#fdQx=Rak-e{}NkA(MutO9DaU)XuYwP~pRs%`PFoo6Wa6AGP zIE%=z_LKMS-bKFJQWpTv!KE=t)U4{tASSY} zpc-4#E|`4HF#h`On=#74!gPOVHuK-wZ$>7j|Jr^_Ed?0-m6#MZC}aix?*EE+=yLt~ zy3jQrb_vtK>1)U_uMCRV(c4|0p9p>Ym{VF>nwDMa8QsSd?FFmRo^B&cmJxUFR_5FH z+c`R}H-dU6SVEi9Wbrl6Hm>GYT38(@(I+J{w(7~+J7W`e21G_iYE<9#;7NFLOqSg7 z$LF0S?7?b~>}>MarO^4FFLWVj!p^IjE&qwK)bFHqLmWOr-8XD)ZHXmRuN5}iRI@51immEi1=ulUIx3k&eAvSE{l&OTuG7VL)n%na`dh|UkM+XIw*&t}- zy)5STLjR0D0Z6;_%a<({SNhNp2#SfN>z%x=a03R0M+a}Pqs)`AN%1nqun3E@$f0(liAii74XtjrkfP<1dkEV5RS2EPfrmhX1V%D@xZjow1o>EJ zL8~d7uZ0y7*xhDJn)sVH*Y#TuZQi`O?y>BHz`zYa7A{NUc~KIVHbOlET_+(a8B?!A z=m8TQ(jaBe$xnREG>JNRLk4S!9}|TvH+L_TSJQXFTZpZM9u2z@X;G3z5sAXItI&1f z_wQy1OC*&4qx$;nMQ-zgGBWJQy&Ttl>y+Ha|J-6UVufA-0aRF=s&Hs&uWdSmk3E&t z2&3Y1iT}2M+d)E)GxgxNl z*yn*ucQCnjg)@{h6Yw&3Qvr)ExFw+NV6jav{thB8LpQX(-hs9g5Uo7Zq?*}q=;ikB z=83NUOVg6L+~;pCH0>ZV#0sa@k)9rVT>k0Puh==JdiXH%ttd78F#0st*!GR6EP#o4th`YYN zz6^|v%?UK+ug#Jjy_Vh)t-Hq`v|zzbm2;XJ8od?t3RlkFP(a({Lr~)L&z^G&!5jtf za@)SYiYP^>E&M>@=rL>~?ZJDq%3sf!UgJPd4Geg7ZcOjs>VgRZ5?S6_qNQjfJ^cj7XP)y2wl{At62dOna4z?Fy# z5Q;MK{=a1s#tup7Y}aRhs1aT+YU($a!Zy8YRFa?jYT{qb<#u$0)$C4^h~)XA>t7%c zT9arIJL1E$zxPR}p|SQiNZ${Jh7I3H3;C3?)CjJF1&HSpi(kKd`9cXgmE4F`!t}k! zn!oKj9=<#PSL+2l3QNdFw+je{r|@(uLgU>H&)1jkS)1~j4jkJ6luAg(Wt zXHFj4&@@euqy$gw8DuD?ps*IpahI;ObK8vqg`Y%cK&lGoCTv9{NwYd}kF~}GmHIjE zJr~#GJ=ae(v+uXrMwk`KsJNwU@CplzU*XHxEed0HQ&Xcrgs(FK#Bm&HroetXxICp2Z||Cf&R90A$>7>oL5rr>PjGw2qH=O_MB)BJ z3~n={sD%N>1^mO|qelxz``z5!OfFsWJNA@+#||o=GP`!=XUUSiMb~H7m45i}!{54< zyTUHu>8Fm7rPcxur5~f!ds%7g!+sTXuWT|mAL20Zydie#5Wl2iU)YZyKL}?csI)9( z+Hzsgg<&x0Kuu~IYnjB`Mm^Eg(yG6}-QLo2A22O`dZH<>>-tMQhgo>w>J`=&k3*a! zTR=%h~YbAEzn=Ku$MAcvqRfb>GL2iI5* zE(7vP(bGMITca=RkLQOvT}Uv;h}!{gDlT!GJTL`2caFq{t>C4@F+nPg-fKm8Eg&R- zJpK9AB>YZXTtnRI%no4c1F)FTA6(#pj=#Lv;7MupduF6c_FY@K+hkEdcsM<>6uRxV zjw9t9wuSZ$)z&|v+KSxvgEmIzO&AMc$aGy>nV(!-7(BX>$Nn7JDqnGP2={2J32p?= zP_j}GsSA^9tCKnxcKsH?niQ|ho$I+WO~e^pht~dcJ>Gy>NjOlt2$U>37}TYq8-=h>KqX4-6%cdO&Qe zW4j}JKwb;o-|e1F7ZH=bsesvETF$HS{M8O?e{_>QLqpXtJ_Ut`4}CdnXuV_ys!$zn zgok^rSip@bC2PZZ`4O-Zgi+nyI#Q=P?hNW5L5@ifjJ+a!jM&-c=vM_f&k>P6UJum> z2GDn3zT5-;&#MucPVA3ZH_QTKoEFv*SqS=+P(;G^bN%qM0Iu{Rp(9i6Sf2CAy6_CWCYnRzILRS9;z zZ$)l-GXM~6TR`!F{Ly`Vg$?-k+>!c$qv02Ft(JGlpW}A?Ce||j1d;&J4l4({0vJfRkF2t1jVAIyRb$hZA!-(om9Pb1#nsgql8+-Z2?o*Nl9Dy+`Tvm5Pvu0> z5b~CCAj^k;OFmcZ*IWnH)Y9n@b`07Z{k^XZ(uW>9ca>FC_#C|PJLATZ6O2Yv@I#?4 z!ZCKy%IX$8JJZwCiv7W075*n$!Op2|>)-C^P^yjtx;ga_R&TU0Fh?4}p(-FCaQn_3 zCDa3Wv9<%#dtuXqJ-#BR4xA6Kj^(G6+{Ld0>rs;mMIU6WXwauor+B2?i)(!{SHKg1`ke_1W*sF8Lto;)6qutz)wWT-jLslMn zIgPjZl^KZ_?*oMeTn^n$((tA zs!iLB%5G9r-F*7`^?kg%nd?Q1To+|Bb^?U}$L3%S?z<|DL}nll0?T z_6}6oiq_T#fU;!7JOOGU0UCgzVeRT}40H2(w~dhTFUi7@MJnxaxQB{LUJL}CE*}2$Svic6D3fLPB zKHULwu{UT(Y>#uv5+}r^eU@P#1r-#y!JCob9WM`IlYA)WDgm(;lqQxNW~EDTp~6l| z&cMc2gIX2MxdU$$e^|m_wvM_YQA0hB2hhA7xjroZM zaPnU-;sR;_1B^`M4q2F%``|W!H1Lc_ni?FBIZ^lyJR!aHfv7r#;T=YH_7@gmFy0X6 z61a@F)HgK&tNxo7sDpj0zssdWLUtm> zpjdE!pn20T>cKJS=y$=7-Bibke^$6_~E8&60 z8imWxv7(CuFo~85K+S~^3 zm~hZiLUdNq(_=%?C%o~3oF&_X=7uo1rsf)`ZG;bX_Ds;dJqcZ5Ncox;Lb z_K`C)F;&2(Sqp0J`Kwpo;V7s;gzAb14gNXX6KqCsRpu5SKrto2(0Ekc%xj|5NSuHr zXU^QKnapv8wTdwAfm}e{s(51JtWFrVmzEF@-yna(G}eb80YJ*S_-NWx>%|X2 zC+K39B>doSp~eGDr_Y_c1>%J3NK%tHMqFSKB|Ps0NI)mc}7X`pg!PTFMO^q(|Xq(r0efsHlQRF5Rc@&Vkx;iuYgP^4!$vTI@1f>&>b=6Hd z9(N2K6MhVa4j8o_u3N&x`|@mhRa4U)WHltH5Xpo82BV7v{T}T}R7JKEA`bM*2^saL zKdYgF_@~Fb7CE1P8-|^(pSd8W2Eb~VV*1Q^?;PRQex&O0S&wO$SHQD*KVo*X1V*e{CX6OK_fzx96SG*1ido zM1j*dF|-Jw65>i=csLdNSqVJ)AxvfbVU8jPfVVAP^zW?*FtN1_hhB||Qp==leh({v z5%^vt+~%&}E8xwufqmjHH;6VFtBz^6h=rRwszgq%$%zT7$k+{O1}(Lh-~rfL@8mjcf`>+o!M? z!xxP1dAPeofkcev$+i7up8`2HXvwWQBkM~SYCiT zYAKdHf`6@3kF#QoOl$7 z9f-|Cx5SFYT{k(j8k>7XukJc^{YUzUm>AKB^c(-#i1f`Jdn`jyim(H7F9lrR|KdkCust95;__9?i4 zP-6~Bofc!qqx|27@5y6g%sd(DRreJCfSKZU|Hvl7#PFc$%uh|sP8d-_0~VFwd) z5!jYwWMq(t?0QPcU`a3%c7Zh*cA9@Q6cOuotjVy7^9=0HFsMM-gx#mnLW+6oR!QiQ z`)s?eWNkw~303d`@_gc_5pXQK3D=P4LIwBH`w2ymhp>YZ{!eQP#R&|xM?s&&Q26_6 zx}*Q$1(+FarT4--Zsh&@>exy!BvgS*^ylKWpG3}aft3yb8iMYZh0Q3=7)XMr7hWE? zyWzM3lLgu<3zMC|83THX`;Co<<9}Tow2LbH(~fK;I#jmppBj@Bq#O>=58f_&bhSf_ z^EDM-!rcg1g71r*tGl>J%Uf9wCmb9uLjR>l!YDm4@2#AZ@JEk?`3%MAcra!E`ZR%I z7MNw#QGEZLS0qd$$Bu<*NXjjZWyAl|gn4-2s7e?lEt;p_twHC0g7yVf9~KbI&JMxs zAy|)nSPf4hkzT;1~_^TTdIPQyRt z5MuBf7QaeN9>I7`%+@0P>_VGl2Cp>d+)7XjVO@k*WO;e5ylKMYH8L`YHE%-^|Hn*7e?gOg+XaN9uM<;}s^A2UBg#m!xSH8O8^0?vP4iGJ2C? z{48Ts=RSY*L#j{1-u_fdk4Pq7-P|ii6#=T1lkydXhOGnl_&%;UrP=-*T=g)UNH1pO z^s6Ej)2>Ru>Zpidfa2nf5Go6YR?ROXqu(NoxjP?)vqH=#gqRP&h7U9(YPCsv8JxHn zq1!=>*oYn_A2cS~xuB)V5^nZTv-g|H6Q7^n1;Yt3e36v~efk#8NuXPm*|lpU^n`|K zD8%74J|c#0<9lJi^z_z#?u&sy@B_qE0s{m0EY2s75~?XNV`vPn_8~@N;CKlFNx&y3 z=RP$|pV)hm>}?%Z1VezKpgx;Ul1Q+eEQ}hi1*fHn61*Oqf{FZ{5=BKt!((Hr=H@%V zA45T-CaIqdl#!L4uHvxe5fD(-r6i~v5afu*&zA27gO&3>25FzesM9^ZD*ofU+M7n};h zqs5rs$(nSzkd~e8FjaDPw<;D~#mFfBiYqwN_|v<9>3iW80PFm%rTF~uqEWR+aQt`dC*144_ev64)rO9*%HS z@iYSp(S37uKtxkYj=Z%pcViQ9qRlhf>1fvIe)V+fQ{`;&wZwc-azGX(GXaP+1Kn-fP7=N#;JBp5xUe5v3`6Q38(}+^; zLW;rOUf!8ok0JKLC6{4Z!-(wv{`%vY`FRtJSz~Enso{nd_R_f}?3-%114P@esxB@IfwtZl1|i8UE>%n0R0eO^opJG9a1*@)9sF}=3t817 zo}4VAsIuz&u+3x(P2(jb3veOc-@ls*-P0sgVpIgUuvE{S*@D>>p(9}_DT0M-t4koa zZ^G|ROl`u#f|^m2RlEVxh>uER)oB;e*6!|b?24S++_LKGLoK;5+F3$#fti;Pc_%AP z0mBzbg&&lDfTXOY7 zaZ1R>bA~pkJ{SVr!r31k(pzK!7AbU2KElQi_ZVK2=N^9tBBzS3?!#eLDRsLI(TLr; zO*EJ$+#JQp!h?X8kQG*h=ws@n>xF-NKbAqlzuoy}OvcB@?u{A4(yA)T2mxap+Jfb) z#5~1LD@u(B|7D!^qNu4E{EBV3+ePak3$B&8xeZ=7jB2oRaP*Fi2`_DBFEUVAPO0+kl2uieAAL4?vNm;*0db}VaQcRtrp89%1eHE9 z&&6A}XGe(J3)^$f3)~C>84t%R74SziN`r(G&|rLBoY}K?j}&=&Pz;7LZo;%fLPCQ1 zR1KE8W3h75-!t^3p(pdfIY8vbOBWubRa%uhPO-4!4zutYu+p#0X0& z*^AQvn4&8lX+=p;AZ%_6P($)mg_2ji{PV~+2Yd^Lh?F7(4o9rVnJC{R88(Mf2rIVQ z!B7NwK_%e?nEj&`_YusnVA0eomUb1nVO5&Ge%*i}2Z*p6YB0h?h1JB=INaw)4^#5- zovL2vNQV~-(?=O*W=@_s!6RG^US*GQ`TDx(y+?E@*6>Bc@d#7nL?OZAK$1v};#6&f(c@6^7Z7&9FY;M2VPJqs?D1nyUEx zv~qeYv5}!KW|_nENDfBT7&ZYQ5R_|n{ZtlQBFmhO=5L!(*ynGhK|so953v`kb&Cb_ z$sM<#^L{ArwvVv3lfcM48_O%ho<)YcBzD2kny|#%+E#-vzWv}q0DRN#Fu-M*hFU$}|Vq95SDR0?-4Tx_Gr*}w*dJ-8aA@2c|lZR?|A4?JWwU_o(!xDG~ zB$86tQegeZe@>n~8vw+&6|0>!KuliSp?xT$gic2TL*o}LOAHEDu}2g2pI z7HeDELy+;_78DqZvrb_WtRJkN3mDBywTh}zI(GOHg23nt+Ck}TKq-9gHEo03FIsRj zq~xD13fADl2u~`Nr-%k4$f&$$6v1I({wQ_K8!3=WvDZkT%D=Ttj*Jk(tsRs^IOs8o z%Yj>W7bCKs5niFI>*5)OSV#`A=|+88ZpVQWzNuOYg<^Lt;G*KbF>_}a$;xD%t@mHE zD<5BW1p@Y8$7K>>kAz_nfd=gQ5O!cpW+L|SnozgPVY*@urL-+sdHrfMW+Rc$6Hmh6 z9Ey_$OyJW(X@+-H5t20C*d-hnz$%VYHQ?&(1?lVp1L-t88@)iiS(n7O{80w>k08Jf zWBzM*dLhyHgVHZ=Zf1m7^Zvt!2$5L6@M=V4%!X2=2PLq%XfcEmB12A2 z4jR}EB1%99m|{>uql+~rhM zNqK1|D{E*34GTfdDTQX%)YgVJVx#-&;!r+@E!3(dWd2z)|8t86RtZ7dKqEqo(`Y6$ zLWA;8PTr1a1^ea)!SBO;!Xbt6;o;HI3Up+RU%v*T!T<2O_<7GJROBWhsF7;WnqdP- z(0SQAIOq>`tFp54eY6RZI*b+GIQnXCvO64gGCZ#|?PA>oQLJl3Fyo4YDU>C_{MP(# zb~}X!{nwTKAMCxxGe`ebPN(B~+%qt+-3{qDF_Xxy7y_li!cu|X5%LJcj$>=(?-iWqc&?R$q6 zp3@;w=cS)#6Sqt6EsF>NrBt0;VfMAiCo(AZ3|qGb!0HyCl0petr#wrDc_ZL3&AGTh zi&wJOXPymj5MaWW9{Tr_RcV$Q5(EJ6URZc=+Z|5r)`#I3{7bn%SAw1gt_g4bRDbj` zpoC9qYxA|ck&S=Lrovd>fvevGg@JBDQ(|MeFxZ>`wa}4SLc5T{Y0IC8;4gV7W7g{O zWjnArL>how0gcTL1Kq-)g-F z7Q~f@PeKM`Oo(vBYu9Ft7RfwZXu{z@+;CJq#fu^^?ba_vRnsfbXT)J$!k-=hdmnE2 z-V`rhSwB{v+L% zU;pDHAxhApa0dTD2?zaeo_(fufPAV?u!d@bh-hFQi0mM}A_&7Az08n213JQjf z0um=X$Pzb8=DNlY4w@kyH0{B`F@8fhuEoN}h9%m2SbY|)BLp;TDxAupY+w+J{Zn2w zX3$&e+={lGAsUVkWtT8-+9YcuE*#2XYsX~)rXtTYwW$=1A+2f(Bt9yLDA47Jvt_6P z;)2v~$|^dZIzX?gdNtpDqPn6&#g0$nny{kdr`2ByYfOM@%7%vA-P}Nj7u?)riM@lJ zhMVrkfF}!QP!)-VhkZ-RK3pKh+d;wcB^LVG!nC|=u>w#m%g2?*)be$zN&a}xQqc$I zRq_~V7(#b_B;VX*(bGZSd0ALd>Id=d`}?aM6j0V4EhU^oMO5b;@(vs}vzrL`Ub;>- z&v$17IeeFF?>29St^hY(6o5h2?`imrAInbPGF(=+<70n`K94xe+|Fbr4P z(n27~XK88ohI^5*@&iv8Z!!`9$jdzs2U#eOI%WjU2?_1^k!~u zF&V~CkRoUA{4?Rs~W-z)6 zi_#(@A{Lh~O9YpzJ4%YiEy1a{1+Vh}OMES4A~FDOmw|g{kuj+t*uY}P2P6!~OO}}) z4sZg?i9yYqu(%sT6oPn`^@`2r{_}croF;G))?1R-$B)Md8#tUxJ_hNBFup=yYN$H! zU&KFuPEEQE)P=Ux^?g5F_C}y&D-80|)9Hx=LG7zKoqNm`me`yoyF#&h;g8sY`C=Sq zzz$Xca_3Fh+er$Kh9^*K!JL3{DJ?4_qx2zLTc}pRu{FUkSd|0#LkDJ0HV+tX>FuDe z38fg807a+{!w7_Yzro@0@pmvos3o8Z}T93UMDlWVLvu4B5#glLJ4#5)>mog^hBrf|Fr z1`XJu(IKM!;P!#`0cI)_$GZ?v9gvLRFdILAUXNKCt(bj8GX(bq<{eM$x;G5$O3=(e zG_b7UOqu?q@Pq8LL%|j~*p{jUe#LP~D8LD)cliw>DDew~u^Va%5`_KC@JU#1H`edf zPLZH@Twbu3+PCi_5+8B?79_G;2y*=UMR@f<(Zd>74!V}|h#C&$KrUe-d6gL{!c#|B zmV}stjZ?pMbcEmz6EZRwVCBom%foSh-+RW>;cUhUF({RPDGMb8N)9m9YQO6$rdfKqroQqf#8l6b9oxaU>Ec z!*k7puzV2kFTmXf;yQ^iG2`G!F;tx}P|#(VAjG*8r5UZA7<6-YclR%>O+EJ12lrRJ zG$BhE2GQQ*g_69$coO)EIB;V#6O-h^5LioMh>EZ{5@!GrxdX!V8{`SKe+*yY77u8uEsY zOhW=mR*6A8D%&rQ;qoL7;IXykUbcs^4F|N4NJNi#{P=Njc|Dl2eS48>_`1HnK1|S3 z3!}ggF#O=8DT1*jj)sB9p|PdKpLk|i0)f8>42$6KA0u5dHSHm$MF0qIwY2CE%qq-k zK7K*|mu+k?cCj@YXX(;3h~G|n^G2^_uk^eMAJO^YGdRLX5yQK{cyJ)oVLSr1$;1~g zHewL^u1GD@aXD`=wQ@6!Dj7LBgc}1X+w|O;4xye9qPyJB_xxZ{w_|1kqxAwZEMDA$ zo|pscnVbwiYj|S|o|phLdr-??T_|87jxEJuDE@fMr_Y?}h1F`-NQrLKrYgex4qt!Q zR5wmRqQT$;m}V(hdNSdv00<~W@J2;NxgdRl)e3>9okSd_21cEfW$ah1-RR6ZC$RR;hobfOJ0opI*&13&Q zg$+g=+=Wg7n_UU}4wgC7db{1Ub>y>ibL?N_8gae_)sPL?=_wdJcm)M1;l3ieHd~Kh z9H3q>{ssdV{kO+7cs%e)@`-GzhAThLx?si-ugVu*S8ONSl@aep6}h_5*47&&Z*%*H!S{T=jdG%P%fgVmGt z1Us7K;Tdm*lK_bW(uh+Z(2(2;Q!)LFB3%V6=BtT=$8fM&s127z{_1SHXD^22tI|DJ zteQ>+hOiHLy#Ja(x?`8(WWc()leM^;o{b+Dw-K&KX}?EYBak96q+ItQ6<^|R`-y;% zEi?>lbf@B|5;JS->$O_=`O>!Y^OM)!7h&Qw`RXAzPbkbES8ksKg_?AAQSJl;1CRNF z?x6L{Kyrmhsr>E^x}-Q&W0G6MsSuEZBW`czysj+``TKj=z!s?avOa@ zK9tHe0;r#aLBiR2zU(nEah9~er#d(Q;sPlb7$`C6kCBB*d{5l+qx<(+povkhdHP{_ z#`4Kk)q#e{kq!yY7GM7M?c1r9`EC=a5Q#~5*l;l2J6xZP^!V{(mzkzRurY&x3x@&> zfu5ikFfyQY>J*a~x6P1&hmZ}T1KkjGqhoH5k!XX)vL2l}MG zelRT5W%zCI78o%mo2m$!z;MU^SKPS=MR{0Jd=XK3_~4;{u+AYDi9%RjDs3cG*LkXL?vUwvf`2g28w1R1mk0hR*e%gJ}F9n zSKCHgCr$cK{oDO^`5yP4d(OG%qi$$PgTxaE8zBMPrVvz8!)QN8-#LF^&bs$XZ*vY{ z7kJK36yLPY1>`zzdGaI$>yjjc(QcJpiJ*VR^QPuz^=RcMdzkO>MO{Tu>|<%EB_Z?T zx|<_q?c@wSmf)@|dQ|Yv$&L(A{E*hz=UeP0;NOt@RiLp%{5!KLrJP^(Vrpt@&Db@f ze_kkG)*qOAhcdn7{DFC3o%HE@^wbi@S|KN>dPo!KQsD?k(JNO@Lsyptdp2isJLAk2 zPJ9sOn!3zoVs2|#IO7L6xNKK!(#f>H{p1pd4JNR_E#|RPb6eX+_H+{J%&(ckJwbMF zDk$(MGIqcRYCm6STcn(l;(YZ?u7OdAutY5hC%b_^R3?06TK7MVBJ+h}tw%XX8g z0{M$E@bZ>77dzg6KcTU)@d9cch^`m_02DkIU2{8J8>m)ipH zlJ;l{LKuK&7J8*2PC3bzAVv;_xHyccbsyr1bCThXtcRb7s*sySF*><3K8d_@dX->3 z1}L&_`dfX_j+Mh;G%l+vaosVqHz_+w!2U#rcUXz>Cn{&|H*6jrs_2@%3d7J@{S-pV zHj3{Z1bO1|{Wf8WX>`>sEpc``ckkw*-WLUV;%J!h#_}k)pc;P3M%KGz8R+_r8-u$} zRaQrEWlARI>>^STRn z{Cw4FKW`i;lXnE{P-0=96B??OkQ}gpXT_=+Gc4gVdZo6vv}h6HV!o>|=elv5;T=u~ z*|GnBr^a%WD7VSU$?W2t-lY7LY))~AvrJjb-zh9)moc@=7#=ZrBmgLM?9znwbro<- z{YIU-YeVeaJ@uri;6Jtx25ie|2qL!b#l{#N6LT7mEU`M7`1E=zc#zWQGU_ir!bm4O zKDSRjSS(v)O;uDQXk9&el0b*aBnZJNt_R}4u>ez^>xtUT{Ra|NESD*C+1dKg zSw5L~tI&#Fe0-E&J!)L73bFzJQwv{>I^#~06w`;S%_O$}o(4C<7t@f~$~hJhA{Gj{ zlV&emn8O;Qk|HtH*SC7$SU*oK1@wU3W9QFQw*RC|=tY93$9^+eaCUoBq=TWvJ@V@a zE5{stNz#y=sZZXIkB^s1P~-8vF2Cbp%dRIGKuWr8q1T%9<6qWA#rD<(*I=^GWBn-t z%f1W{kWT32BfSST&%-%qMeNdPIAl%0$zr)#bIf$XSv+R2hO$FI7$)Pv#ym}YCdwEa z@b*0NS`4b!y^f!Qzy)IsUD5ERMb4Sh?#{#AHC*Y3HenvGbz@W11Z--Qa1Ce)npDsd z6PJ(1ZTBzKjPsxnvm8E9sg2eoTIRf{6ct6liuhsmKsn$Z721Pkh52JAvwaK5)~`I? z-U~1($vb7Gv*6v45&O#C3>m3;*s2f#IlKusI>OqP@kUvhr{{|x!&3pIXxtQP%+^IG zdi4y6SN=Y?g9t=QRnbkaq=%!C0j!;z{@`t)U{%qaadiVbKV%cgc0+T%P8W>!*}S%* zvQnnH*NWG~Y+Kb@W(I+yp=P6QKTHWkQw(?RF0yqT^DkQ2A;esCKE^jm4eKqEFW2AI z`_G@PSiW2jg)oK}K&Ut5?UWE2gC<3T8({T@o{IT{vpWv}pFt>Y+u=;m$vtwQ(HtUzp{BJ+uOO z`2i3aTbh=zYSNf3@p_jX8s(|guV=XBkG@iJ{G!C0bar-*PU%Vnk*YjAY@m=mkNNLq zXI|%%-F{)F*4@J%F~C6ntp%bSvz-eBGp%qN;Rymo>*3XokTX4EQI#DfN<>M}IirSq zeW&~g%xrJBr9Hx}kk!>mX*E^EuU)&Sd_b+yXkeP(nxu*P4z)RJ_%q(R=G!+9p7$a! z{K!4>$wFyC!52C|b{eKZh85dSEWxIPOh(8zyuhf3lfa z40<}lh-05E&yiuho_#uAD^~QocjLvzB$NoQ9Gn-{N@Xri^wxJt$hMFSd&v(%rwZpm z<(aO9TS5+tIv^VVs-|B&IlCv8zV}MlvmUKh_03-{vVYZ7Xah1+GUg7yUvdseF6I}G z4#2rYtoS6zNFA4P_en0r4}J0*rnBY-NzVz&=y-P5qpxSuRZ;(*AIkZiaMtOYH`}qv zV*VPQDr)9{=-1CNehe@ip{!%4nT6Yvu% zFkqYd#aZ3z(lw~p**BbPZIiW4Q^qsesVJxNmGkFk^DYWPp667K;M;KKXy5_G2ZVMp zV&RF|mG`oP2l9C8rsJL;$kk!%o1FG6Rt~Yy$V)X=|XH$O{AF|?L{xeOYfc+O&A7b>I?)c1~`&AfO)+!wv}BIrGs$+ z-rSO`7gY56ooTwdb4P!@z{-|2WX2HiTr~x1&GjaA*A@G(HjQVfd8;}heP~r4$(<^? zD*poq!}phrjAz_OBUfw%2}!$EtJRA2j41V0uksoFzm?c=0YGq;4$^_v@HSXVmk@CS zda~KRQCDY&ba369Ylm66Px0Ja-LH7>=;!0(BbF^HE!SlXN~F+6n5F#6KRNKUaITXX zxn43!eWSC|oD1B{8-3l}ImwGQFf+hTFf(Lykfs2svv)6H(qlD(L%S-F>P~JL6f%U{JTS$UI^d*$8%>7NByO%Agdl{Dqc~U6a<< zY^abf;ERNlM>YOTc81E+(>^351k;B9KRAg-7~w%Q^=JnwpWq>ERQPymC`EYV0~RdU zerV$2q&w3@qikuhg~4Z7EnB8?8Ek2XO8&UWf56uf;dOVpo0sk~I3S#5pAHM>T)fPb z^BZoY|NP+P`QcF$evSAyM=W=HVc=lt*U`<>tU|IYbekE^SzeCOx$e!pJN^?C=MRaMxsnQ=3TMB1XHD0hxT zS}#o^t;?aLz~7ws-tip2kzbclx?9?* z6BlmWAMJF#e9vKZZLOAaPmrnM;5C&9@{MxG4t6(Koc6mSe?{g?%NN7R%8H=N={(2B z%q;ia8`o;zXSkMwiIh9hLXcKXKzCDR(468JU}%0@#9<3x*oBc=s1tq^((F?BfC^!!EiElGLF@A@%OdgE)tcM zl_a;B7LB19mpyy-a2vj>uUAr1x)!mFkDdK+-S%Dz@s;17cT-dFUM{L&ar##2N44w5 z+REIek{h^2#ya!~);mHPmb)ZA$60tSpls9}<2K zw*;5E&h_^9%U!v`f;TlXHog-b?f>f4l7qyPSFgmf%U53xj68oXaQN_HEwPuhGHnvE z>$a!(F|)8VnF?J{SAXt2ZDM9-W@Be(FxHX3Z~y+LLTlZ@_woKZ**`u$kX1>NWMN}t zOG!yN$j4_rdyMbOdNKD!A*!9+(y2|q+OH<{{QP-sAn7b6$8p|kUcROrSFc{ZdGltG zP0#xJD4xDhv2pf2dv02nEl^lnTf6)oTIY2#wdalk>jT%hapJ?fFU?N={(NR_c-m>K zV~3}wC%yawr-?3d3W|c6Fx*r}Sw?matBUTmRj1Wo{!$+wo!T`#GP1Bd-RQjd^GU3j z6Yr14q{7=v)oiO3OB3adQ9Rlo&GJXP%aiWjy_+uSl&w>$`P^s|DKRmzWVXZHa`6S0 zki;Dd#Q>&{rLImoH+nW~Wfgy$o?Z4X@7m{~Z^eS$9!os&qSghsHQ?EmT0x%$bPN10{rOIo30U8PJ#HwN28yWPkt zEDJkl(}fx1_q}NUrj_eQE5rVzlB&som6dgQwy@l|F;PM#;rI^Rk$3Ojy{)hBdmL}I zM@Z*W&N+2R$W2YS&J_B zxhwbY-_Mxr+r%N~&nYM^^UbTM=qRhp5Xa*0pRy-UQeb5netM{6(UwywK=!c7^u~Dc zkEiMBeYI?!`;Ht5-=%Y-a*CNTgd*hR=h4=}ZV#~s4;~yndi1Qi`bh_edS$05rrb| z6Ro3ys?RRRz3l8>-@aY0Pa81fXAB`d8$7}oa^uDgoB3b*Edoymuu8>$RgjS^I`TH@ z>UOJVPd1-Fb0;dQ=3OM$rmb78ny#0u%ziDI{vhTy+kW-vaji8C2UF97tE;QxbKkD3 zXY=?9zoib(VJa>zj#1&vH`Eh|z0jyH5c~H1`-{RpS_M{}n=gNhk4#ML;uQ99zUDJB z^ZAU_#wVv8!N9IBny1C1l^J#ZiE3J0>g48+ zW`jjh>1Unf^7Het2AB>UI50ds+*al;)+j!G+w62rq}#8`jmucoxVsngsn0)F>3I~b zv**wuB@=Hs|9!Ycl&>ZyYuOA1Vt0#LF?V%!Ve3x)e3B%>AZXhw=jP@%KUL4SY4hf) z#>TKGi7r7M9a^Na#bGX#qDHAT@yW@_+l<0NuH(i2d3kvz=Bp#RYckobbZl(a#|q3_ zdGRpMg?imM_l5$?uSE-k@sqQ&6yJX&c@AQW4~)N>sHv^>PdoqQxpDo@`gy#;=2D%; z*|D!YwI^@y_I~o@0O`q@q?6gL(;sDNCTp0iZE9JZj#zy=ii`Jdb!CZ1>Z*zg^_DGL zNWaHBnefyvnc8=*8_Ox|L&2`HvgmxdBjlv)*|W6eD`VDb^pDzW9zA&Ajb$8zCx6a2 z*ZB15Q=HHdn_MNOQ>Uuy>w{6y3=9m8I*zs(Hws&J2z@u0ZW-zelRBB&BqUaSUPnjO z$|~!T^ST>j`K^jdN)N6!CVsQ6Wx0Rs`Yqz>q$-51f6rGeTuAQp>-z~2%Z}IBcQs*B zt8WDx#jEe`KehXa9*K1A+O>y|A8Xanuu0y3_UxI7Coe~b7>XRNgo*SZ8Tr$HYY$z;@#x|rtX3tg@g5-F*v zYV>|vm_#nCJAJS4o?l!%cj1DZhlixei&(OaTR)~M(2Tzv$*QkO5_jG%ueMvrG<-l) zNof;f$gKlOZg;WY;tRW6g0Ty|wXKQ=Uh4SVxZte*#4mE>-?*m!?Pai*4U;*$l zN$FRSe>WiO8y{D7cbB;O;eM{0=lrjp-#<{!^N%ddhC0X`rKFJFN0ac9CPe{p1ZY` zcMeH~CvU+}KY*Gk=(e6wqzk8LfWQt$hF z(Qb0y@t@vn!Xn1T#w4SwR}0_O47_`%EW{YHKZ2Ge&@y4^kT0!e@}$b+R}*FNo+~4| zr^`e=SKWwR{^|4Qz|hbFX3xG5(W5thu>&+Tx3<2p>8av8rH)l4wcJC4iWz?A&WR_g z2{BTht2+eI*%QztHl(J$QUb~hypy}Wsj5~U$d~Ic-X=H|3%7Z!N zWcAvT=Nb*^%$YOv^7`-Ngzq1tFFX(Iv_AmZNCq#rILx4?+}T%^9Yy4 zscY8`H8nMHYvobmsy4(5dd`S2poJC{73ExQWaWBP@~x}X^=ES$o#*1`qzm=za@u!+ zSWIp+iH<)%oon_qJG&Nj9yN(8lz%t%`@|X^t?^dIdn3iI(ZRt~x^9yj&}fJo{PgKl zU3V3rhQNRT_Wk?i^9Mza9gB?>yee?xm)^x;s-`bSn^f9D%&*KI;^j5@l5vUoxV>Tv zGYJTXXpT|mi{h_0O3dXrj&+Q5JmEN{CqwCa0NrR=#>9lv!^49#+Wx}-`*%In`$tcp z!V6ygu#cPjc1yYj*)GvQ)mVWyQ*9{KHDPRx#n*pmU3m5U`Q1mSq6G|VsCV*Sev1Y& zIWsd*;Z4>MCmf7RE{Gr0OC%BSv&po7;YZSwva-aLr8!ZC1A?+LluhEtw&(=tzJ2$O zXmj`O(PP~!DJ%B|9!S(1Y>0hbQ?q^-Qy3s`+?~A&cC(|G0It1!e8|xK-ziqX&D%lY;2BPA8e?ss|$Sn zT26(N&b&3N)Z%`e6a6k3O6~oqPUYdTu}WCOOS5B!fJ^tHqV8gMVcU#+$t2_b(0oBd zqp!c;SM^Ei)29JbQ+7ZH0l~rMYMnqbQ`6H*Dk|i9ACphm|NP{Kh5r%N@NPszT4v@W zJRCQlY!~16AANmf(uG!?nmKwWUi8ULuV23&m_$CkNXv1W?uBPwVyLTPF zMe4(c58G{1oc}^h7vpIn>d2pVlVVjki+`r&Z~-IR2JTe|{r>Z3UGJOVy83!Ul!uH< zFK&&FT7U>OndQH(tv!F`O6S9MTBR<+>(;Hi;p$pg(-# zMn*=oJ9hYGXY(C9b`0HkI~|=*y9MWg1GVP_(RJPg@6r`fy&S8aj?3~+IF`4L!?!dX zd*u{}(50w*DBQN!ulF^lo%i+k$LeH$={ObyS_N+MLfmBN9K!)a;EnE`;ZR_VtoSxZ+`Vu2Zn^a(K|x)Wc%YRA3l7Dd2d3og;DOp1$rhC3w8m4 z=k2z@v%CiY(_b~IC*`H4rpAgpPhGUO)(c^7t==inwqE-Niv@=d&j4+eR=>~<4lTT` ztgo-{5u>-^=2jj6yloVh*3+f<)r7K~a&dXt!H>Vn^J@6da9g>JMk4Voq3ph=BM8Kt zRas=)ckuAxb7B+#0rLwBY8Nj$yy2(t@wWV0aEU*Xb}Wo&{*zom!NL6T@2OeEHOCGz zOSsS{sQRa;kL;)gAr+U9$c#}Am{kDr@}1v-N)Y8*KK37N^YDm>>U)RIbBFP8aTzYp zPu>@E%979L;^MmW(*BU3NrN8hu|;|KjR_3D>SOhT=t|G(_uyIHY@uD=TO>d_g zrOp6m076*{sG8jJEmGw5J?KkYzK4s8N=i!V+_`g#XU-frbO`(W#!VEj?MzHmmo3E0 zRu|1rhBDWoa1?`YZr!>S%ZhH>wo0DDZ=X^+PDOF+kGADzTrR!~G!|MHabOyIJv=Pbn+g*xIUPdbmdX_m%;h{o}?%b!*qa33NLef=M zrukZVTA9O6uL}HLS*1%*eMw|KW=9S@u#-ggz*c_x^q`x&J4hmjuyABd%|(=h$Wh_U?W5{P}b4Q_ADx<3+{Aw!_Vbs;aB8Cbj|qyy@;vGOmxh z#42b%boTbiy{DpiOCNNg5)q^oG`MeY@FZ&WU*|Tq-FNf@{%jc)}`koEr_6E!5Vi0rW{`vE#SuL&1WikRAf!=mPhWLx+ z5?c*rfQ9&i5Qv-z{Mq&pofAD_0d24)bdT?lS3ma=4&T#@KtHkALu3@xdiWNooY#LO zI0-lmUwG*-^4L+FLr&}fIzcP&gg5x!M%` zZyfRAgpUJpx3{+wodlqgAK;hOb(G&_cJx|4HBbsO3CPE<#Y|-Q(<3S%vy7Hu_vOi2 zg8fHj$D7}{eED)llmcZ_t|HlQf*1q5_W;tXXD*=tMa0Fu!xhQU(zx9I_;mbkDGzaQ zw%fb;*C(hdfLI0Zy}(IRcVFeTa0+*>mUCC!5`>Vg7V> zvnx9BmS<0&vSS@sb-q+0GujJMW3m_+* zMV7MZ1Rm`JU^l1n`EEj0^8xuvi&4$H_owsO zVH>mv2z^+78r$=US*DGun6}s9D0Dj9%C~P73Bd>Vp%!c1d0`-$$56+0O!&7;sqr-w zO#hD`&z7ysYS+gE(j7R?5NVmKI@#>GQooguU;87@G>3A?1;3^K zm|gVSd9>^ET=DCjO?)WE#mz|%J(*J-^Y{Hjki-kg*k90ao^#?%8(mLA0cZ1 z7zG3boPD%f&sW~yyNQl+%a;8RPQgaBG7G>FtjkwKE?&GSKL6cks^?4|*K_hO?^r$N z^@(5khV}=8QcyvwN3zR9>x>MBo6`WU(pXMWl4eKSeIS)%!P3*yYp$?*VCiRQc^KGz6~?s;FmZde<4PC+N%JC);~H z2^j}p6iPmzSo)VNh_3UKeHq$?q2b}Q5RQ(y&SqQ`Bz?n|1bqzH!KH39^pPXIbyv!M zG!2mvJeYjLhFmoDdVYL_!4C=P28TITe?XWBv^S$N|o76{kwNX&_$g` zb8CUHYEcXTsI@a!AL+RK+`qiCVk{MIDtdf$yQZ`>31A=n|KfEZX40Skii?XMb(<#| zpoWXf@i2+m-3to~r$f(x_1VpgjTj3t^2e%tbNp(V8J;tstgKAB@E&O5W^iz@*^F4w z>39)-l!ePzt}yT$kYfRXc$qX(TT($o>CY_edhW);%K9Nr*qkV1#}hsrW?&Q^-?*8Y zy1#NG+dc@Rv$C7xzvy4}vb%nr=M<-zK&;BMA4g(U`UeM}#r3%076idk(fP6r&FKv9 z7Iur1r%!KzqUSdKUQ{JcC=kWYZv5LZxC9xFAGc_Mo3@xjfZp~G$kmfvXd zppfC7JyNFN$hzpCuJ0oP9;#=@#<(38}CeGk;L+48$h>3`xqY?k* z6_n;{YKDsZ&2w$#bZGI*mjc#Z;$O0Lts|+?m&KPxUjXM42tjh8pH4mN^0mkgjlE0W za<0j0$A|owEPBot{DC&DvTF3udL;z}1uy03t+OtfqyT+<)pKh6>$?#>s$&F;$?Y>#z0sZy5)&juO4%+x-W@rrQ+z=SS%Ty z;{ak9Z-?ayX~!AT4b+r%dd*MOpiC|gTs<%y7xt}?lB;li)Cd&9m@Of;V2 zD}Ct53{fxKoX`rsBS;g*BG6A8e02ju0aasfkNsooMTd0f4q+k0sCur6T zcVMnOodsaw)}O7gylf;Dp0nu_X&sbIFnYzY-4NLNe*AE1(WU-7y}I}nPliI@@xCkx z+7mjif}EW1vtzU4om^LI0v&6iQ~LUnx6|M&bc#y9dGm%KlQgUuj`V0G{*Ts@UE0|axCw?Xq-xQ2< zUZa*ryFf)rQSq$g@-JEA@o&Y-&d$Z#Sy{72zZHKLFu`BELz{|(h4H4gR^ghd=~;kq zqFD`;&UKmFhQjC5C7zDI4GIdP2P`qhGJW^0_Ccv)f{p#thMQjH_mo~DwoyFG3_>jev92dtp zH8n-Kd2@Em?(q`2Kt4K}V3s3NIQBlmVUpDxBfq{X)C%W0ZGBUXTjlfi3G4L)DYl6|s}LV`a69Jju($69V>0$H=IBRBP+Xr zk~ZL>Uo|}Xavf0RbM8aMuU>)V*1)NQ(*fJ&nEhX_I!J_xa|7NMj74-=$+-XR9a!uF z?u+){zI`KHZyg;SYS>(DZJH=Q5-z``pM35a9lhOdVFHm-PF_A&znTI!C!XbM`e81v zuQM|qglo1k*WKM8lb+56z0h!FaYp@`mxodmm7K!lr&D~kkS>5&+6%3_FE;w_NXa*) ze`J_=>T6M=2k?`+d)Gfm^s{4G{v8bT@;zrf7wMolxq-Gl<8e=0Io@^-l05tCM}$N{ zO>KlNhH9tj*O^4&nYoqaxE#<7KwhF&^a>B5UX6Ck-dqtV|oT^-0+u=XiHpS+o(;Q^YInZC%Tq2=S_YZ1uPV0`5BVXuhCOG$^}d!0W_gQ<7y*r9U&=p9M-#a~SdY;~Wa zX{*eL=nRzI1=v1qh1P7K>rmm>LrU)!NpnV)W_lo6R{)ytsp{*!uQ!>zkCTTk#^(Ne z8yr;E^wyPp2KFX9G%@rnzF~b`8<%8A{;{Bni5s(`4wWT0oK zo($qzGS{P_;QiWx}qZT$E_ng^|~R#lJnomuz3i3#HoCV zCCPKOc%b-Mdb;y)+LPT9E<(`E#X-Z60w}06zgmyQ(VA)79d;Ru>_Jq`iuBh)>mM*U z2=ah+5Zuwxp`INX5kXb~dTit9Xf;&|nFe(`1jQI)xZ%ujOLKGc5g;G5)En?!+j9*! zk`VFm0>wCc>5>vWq`G(Sh^z^uWPa#tWoxUhiSDzPR5&9ZorHQz#Cj4wf$ji(Bag_MaNUaD#2^+FMZdJbGSYXj!1#aKr!lx<5u_e5ScOwm} zg~k&0Ags0hpFjC$4blWxI3;dk(u~C+8z-mxk%|#Splv9 zUhS0{7DmJ7G0(xJkwso%Byi{ceHF+z&=m%k7p7rqXxDHBRUsMz<80r)eaQzmGl^Q2 zm<@ve-%U*X0K?N79>F{4WR1uJDB9ZcLwTuz-SqpnJxZP&j3Hf*h5cYdJTC4XT-Ur_ z3rCC)2vi=H02Wu1aV<8AcBwjy8?WF~3L1A45<*fA!nzBEC%n$4^@>x|D<^A0fM*Pe z%Ef(z!_5Veq){N=qn@XbbXG&-DnoXY>HK?Z4>B)!6{yDFfo(Jr#uyl@xXU z2cLUcjcxQf`VBAIEfz|@rky_^#Q1)PCylvK9A{(uQB^g1Bnn87)+>y!hIZP2KCQ9B zaGVipXX``T?nZ)m!|H1Z-Rqlk9bLR+Y5WzpcERmL30JMq)|M8C&u!20;nco;s+RgR zGjkwPLnoJ63grb>K_6`DL8Qq@yjFBbqHW|AF_c>VMTXm2)-z}T%2Dwq_AwmmO>i<& z`yziFi8FslLT@7xS_I^tL1dq!B6xs-DF?YPJts%q@&H79;V`29 zST!LCN-Nr!{cv+&Evsw8lsHfElnO!y&d5=LxzHT7?IlN=1D>dk?Q)CRH;<(;Lac)M z8gS_RW5R4A6gdj&-4*Dto}KL-g1Cqp`-yE)U=<<*kc60PQxv95Rn&&0$8OoGBWcB8@+98{DG1+2xlA4XxfHsm8Jc= zWb%BNdER3m&2>7lLHro)e5Dap=1VJ*2{Z!=K84cA1Sx`WYud99W+|F@z25Pst-AI? zK19gpt?ug7E&$B79DSdTJHA^YD25JWArV2RZQHgz8w8Q)!CU5(g5s8yl}y-rNw?x%NfKqV33FV-g>6 z1;;*B`B7=RvxN_7K3w-QD1=FLJ3T$IuPJ;^L@pwappq!wKAi75Gc51sR+5nf`pN^2 zk-wLc2~Nh2`{K@b;bY=bgTLydKtws-2cu?~%<(b~;XdKSXcsU;pBbB$Sl)_bV7&gfRNKYtc{^g)nf-@~1=5u_ zJ0}0U2yQ2*lYxd$ozXc7S;Np!H=hf5=ASqk^1=Gb*k+}aGC zQbw=)_n9B7#2PqTz`jS=VSx1`3)(E4SWfs2)OUR`}BauFa&;faZ=&~(m-Pm&X{2oaH; zMQu0SR%Tieg1r0UYNH(lRfxC&VPOZ5kVTN|k$iqM_a#F5zEo_tzuSF|CE~!D!Pu*b z92^|pfTH|*6(mA5zkPe((WCf2gWr+*H89u%FCpK&RY$}Ms5*0DDvye#V4c7pW1?lk zL>s=uQ&)}7yLY$4{}x_@9`8+K{A#|q+n`lu98&Eg=Ykl-)=vs6PU z>YCaZni>)SJYjqX4^}ia-FY7`dj9fdl^ZvXLT^N_1L;_r%l9*bZr>(n=j9CrZZWBC zkKg*0bnS0OXKudVtDny#s7$!}C2XB3I9|_)!5D!$14l9j?kh@4BVfnd4<8_`4S7D)3u=(6XcM=McnYlR(Sg7@ozle~nnwlDx7;1v7nb~1} zetw8SxV_xMf&v1XB{wFG`$pCLEr~rAP!Jv&X?*FNos$!hO@M3&(hF{PeW)X!3o%wS z(T1rQ02l)yM%eB@x3sVxv)kwG?M;NY;j|og8owPKy{p=v<^WcqPo;DitHj5j_Q17< zBJm7DrnLAZgpcy}?OS~Ry+A8L9UL7udEDL=L^2nISMF^4yZT34@HBJvYd~nI$y9$G zHdlI7k4w99Xu%$&9|+f@|6e5=%shN&-foY@L!U>|IG9JN0mVI7Y{g2 zdeNTYNRGmz@eoxF7B0M70)s;Sj>ew^&A)IH5wG+?A|L>}4PF)@U_wqaYgwGN_*P_# zz+M`Q&*GvB9J{B_p1thd4XB8WV@8ZJ`iNBV){i@IA>jU*Ex5olhh&z6JZyS1A2)YD z00;+!1;DIW(35Ehk~!AhlIhKbSN|8<9g;%%klcMu*NiBJ7#TuNB2#Uc@1m-zO2GVY z(4R^0Y^SSfq+mS%1dAE?Y2V1WB_QTW)`!oHD_dT+9gF~a6MQC&<3lz`lYm-F->XrlA# z!jH7k&%dQgo4p%W|pZwk$v*{Qdww7h%r*& zM~}Z-Gqyy&i6dW$NcSQ%;v3L}aDQHbXmyzW!btUz%|)Qmy_ zyjNZxfdRcZJ9Y~60bvC^oB-}5kYR&jE{FeYF012jGTYv>!a!)GKcOvHAkP>GaiA55 zDhyG9@Pq`*e2O7(aY!u$x%zuV|6FS#cv*OKv;s^a2rPT|@AuQMzQynI+jRT(?Ia?T zkA4wlEI>m;gH)L_%#BNBZpRoy9?R!bQBm1CITebR!MasYP!O^1QUROk>FEIyL5%8W zce#{}ZNXsyf$c>49|jH5C2`SzRpI;vsB2z}f3LzV)H0e8Led(^2bCkT@w$f&AFise zuRlD)b@*@$W-!oM#eaX4RZly_`{C&g7nkQZCJg}Sh}fk0mkbUuv3Mll5Q&FQ0M%af znissj)9{p#W9P~0L=Qze4v1eqwFwSyFbEt%AGi`dBO|9&Rky;*#kSNFiHDGx+uZQ> zt=?qso9GZajmIr!z%loaJ1FNUv-zu>QLJ1>nIGp!>)tRJ<`!RHG** zJ<<~xe#2Kkuch@45j*g58iL`XAOb36-mPTC2K%4Pj6G5FIM&j1qD^ZfPZDQyt9rI9 zg5&7)z{*7-6hrEf& z?DRv`2gq#>E9>SDlybRcnsXSW%rQ`f$I;4L$Br8MNG8>5-DsLLF>H$`i@}h6DBb} z6FQBh05too7M)$T#aK9y8cu`9U|E15MnW`6Z{g$O>iZxz(Vtt(x>rJi80A7%%OZbq zOv(Ssdcpq~B@&XMPsxF-E6Dj`Ta11!48thHIV~+^AQwO!IMQ2-j-E$|GXy3i;1t3; zh;|~XU~2pM&i_d%ePI2MQu?(m?;0H-d2LHe|8#(HKrUJ0HU+(fs@k$bXpKfSAF_&Q5|nv$J&^H5_(e z^Or9vO{M`zszPqOeVZC{D8FWA_8&Olk3>4i&yo1|*e9B1CPqd%Hzs@QYXS>$|BKG_ z?Bi+?)RZR1|8xqkZ%dMg_+LYkv6Ak`t*or<$G0jsQSD&Saro#I%Q(KgPJjiHdMqy(oIE;L0f*yB2A;B4x(P~JYiWoFCqIk+cOo|)> zYXPG_fMg|9qRmuPgb?FRb3`um9#KbBufX(@xC2{kTc;j+`A(ME(e<}m~p zR9Gkq6hf$P@Pg&XtvR(G_N{y=Ie~&-+u6DDT=zNVG6g}V)Zh1h|6T#y;EW8`Pb3T> zJ3qZRqOFbnNsP)6zew(jzfsBSO&C-DawFkCL!u{wCYY@-%wI&(G(q+1!f_FiCnapV%F?3;~p_bOcATX_QPlmk!N5yYLh%5!Lj8|5i84_=v69& zlQ$8}h&s5ULK-QI1;nYGzk6@w_N45HYquCAY_x>qm##+UWo3;&Z!OKpxQ+eFB_j92 zbVYvWa*XOv{kWi*+-HWIjGwfOWF)CJN-L7_opqKmU??@PMJDX_UWo2{`#MMdd2 zW;}f8OK@wZ6x+UvId6*|j9&x*L-R>ZegVyyPzkdBnMz>Z^>&Cu7MMAAbVofA=!}I+8N95Jw+z_T#L{1Khv3i;= zW_}jacjGtqz{MwJqy6%o9Xaz>RRtGYBFcUCJl{Nk#v2oY#$yXI$i!4<2;Ltiz1dcEP5P> zEcLxUGwgUIGfp$HYX5Ca!juc1oP`Yben;NIwy`sSbeRP`T6r|c>#B*}9FjJo%Y&-$ zUzzfM>i|6^WdnBBY49n8Mi6*{i%1OF+`x67oSQ3DzLl3Jgha zlDgLusHp7ESpz)%qoXQjX3qvjFkeVOQf$ySKF&BOC(4opVZ{+hA3uLYbC%mFT{s-|Yl zMe`u@y%U?h65+FdGt+#&Ebdry;$+SaVjcPv@du>{ExgRh2?q`=DJjW_dVoyBYR`FkKcdT3`fSwZk;OhD$|wFY6Mhp}=bEze2VZL; zieNk1#-DF^1REed!GI@AwTo^ncoc^yteH=&`lMt`AN49eWV%D0T<6R&L#h`FtFlAZG4lUpG>cO5m`9dl20=%l|^TAxvS8#_nh&E83_FVrR9 z&Z*mbcP>?XZ+fFk**MMJxHO|N%I(qRv(LJ0sr?7Xo;~gQ>!3RPr+({k@ET9f%-ll9 zsZtTJZEp_RYm*(b_zhZ^1_<2l;PLsEAmzyl&|ZV4j*;_^U0qvUU0q>G>LLAlbAafr zgk>VW{HvNo0$hSZcOqv&PHtrb)khZQqc$Yyd9~QnYUj_B;cSIULFAS>1O=y~>eC~B zS(VlGfX={DJ2v`M z(z3D9z+^#sbB~BfL46wiwr!nEJCnb*6<!%3qtIvyn0T9!e<@6BgyI>M?{@3wC(E8pU;OcAdn7zb`pc15V;WV zYbdOs+cp#KmzGpku4T3*uKaYsnZvpp5A}!3Q0zH$w`z^)+*|fX%_#;eEBVwfQlvjyzT6moMr$%t>xjI0s=fOlU%9-HSCC8X9`@ zz347+V)G7f0APiItN^JG$#?)+HEr!+fZ|F4_=eQ5^$B4BKf%mu7!Gx)9E`^@$10X! z&r}aa=9Q2#W@l$fBr!2DBIgZqd~*O}wnV@jsrk($XtkRm>NkD)LSb&c`gTq5ucs%2 zj?d4}+eamB1!X^*-g0w*$Z>cqPbv`64^ocnoK;?aeh-@OE^eRVp+bkVPd>xlcj{_5 z&8?NWlO*^4L5tagvj^qk`F1QP4#jzQ)5(?Ae)_ciWUAWeZk*XufmzF32ydENT6@IB znISmm4U9+_65FtQw^?v*+jfUJht#<@L3N{shDPNe12qNWSA@a_ z8`K{MYCxgoH+oB3i7&HlMuS_r&~~gt7?uEZh8~Ra72TNJ17mOA$3efmS9L@)|1Zx}AUruK^$+qcc^ zh*aLcNaOA&!{Kr(l=*O^^5|~&TT-X3tBnL47K$*`i%}WK5<85_9zEI*I^+Wb9GTEm zR8zDvf9UUjKE%_959LNF_tE0BAK6WfG#Z&rDmC7Pux{}UZ#K+LPM&}y4_!kK`8OEC zWg8L$0-i=|##l)X4;?tJBbJ$-9^oFEXfzL)m1EU;oDi$j)z#hUZU;Q2xu~vg06X5G zmOZd{E3Lx_AUm<;alPM!%E;MwL$@XljL0<%_su1#6(+h2AA%^yjGShV_C(-Y3m`Ex z>F*(;T@}#z_Bb-%J+hPiWhR;)aWcDd?j9RE3oyyv#rhh zx7|^!()1cC;O6Gefdqp?bJ!0b-i&Typnx0p1;NcD&Qtv#=teN#W$SroJYYk>_}iwY zZO}#!Lduh*-KO*jp#0aj>y14i733r&s$-UwI?u)lN)O z7fjpcYw-+~GS!Js9+$R11MksxdES;_{Y1$ik{7vqx81po>B%h^oIj593H2Phr}Pl5;c zQJd8hhLgOa>>%;^sfZtKMpEGyvT>F8GAK zkG5%3CA1w1#734^COm6pX(aYJ3JK7a?24hb`z?P9p<=_{*MT?s?3hG})NCZcUYm+q){qANQ%ToJH#1|AZ}wa7i4vT> zT1>==fKQHqEE$=Y%nm1Y?m`K~0QH7P=MI^Hwr?b*48k@7oB__>#zUrdX8*o@?0kGQ z@DOlK3~D(9-$YkDtwj{R!Hf-F<7SsqozdM$q@?`7fAAMX%{_ymSBtI^1|p$cPa_eI zdb-aqI`QG%R6aq>5~4;WXJk+#1$XcFjQ7J|P8^ZU=iW-&mt#>StEcljj%pIXEeG@Z zV%uZ+6G=^EJu|qxlvqL-r>jE1ijelA*j)6urGHm|_Dy2kE4X#zo)pQ5d-r@%3NRV3 z4}Ha;_JN1jh5#30uByvp$?`?}#yxwcD@)misko(^&B1_cM##3QWe*p1H6neSW6>^< z+jmx~YQ0?PttDx>=J=vHS@%G^zz*Err-e2X{)^kGXlIU(lWlAA>FuJK5#Gr@O!p0M zoQOYd^4<`zNKQQR0G=nKzb-{``iFZmr0(3l-{wRMqm(PX=_<949%uwxj7R_@!b}Wu znKZ+nR)^;B~D7< zZCmbY&ZW5*95O!zky_%0X*!0e(7oL5}cP?#x($VZc`=))lW6Ngn0r^j`C{i<(l z?1y0FUKGeM@hQbH6TT}i>9NxYZP;UV;VMyYxzsZ%aKKJ392@b)q12}t8FGN5;50`N z{B7&#K!#)&ja~&JS~p7=kfS7*+?_0GuJtAtR3ZGqtdgLu55B zK0X&@i6p9OhX2(!H>Uy`Cx(TPF2d;?CrnIC!UokZUVQNKB_rS_$qT`aULtdO{*1&1 zU?(EB-I}ed0PhWgEIA45vzG3RI1plCVJ(JmUb?e7@F6LUVa2nDBU6k~l1S`ke>(1F z$N)D#jI}K(sj3d*%LVaycfQ7VfnQUEBtdj7@l9-cWGZ()K+LOWU|<8-IjI7}slfm^ zFWMdy)1^(2<>%!Qc~i7%d7RutAmsDsiC#@`1dy*PAg`OSCiF0fOd>@p`vE}0kD)-O zS3^;qMMQHfXu_Nz`NCWDqq3Y{2fzNwSF zOBj4?mxQcB=(A^sPh4Gfo;V;Wsq?X2PJG?V!1#D33_HMG@rAd6j+tCs%z$@;UvMik zGn4%o0o8Hmb|E89d}tiez|F%0mx$x-a@nU`8X+8z2Kb{7g%wC>yO{bDn9)QI6v4=& zPUFlv?lTu*j}T|~71{sXeouKnM(4r?2M0e$aNz4$gzV!hr=j)pF%^}d8FrvA4&z|*PzI*}n0Y|{mg@JkuSO&gG96o&X=)t2$ z8_?6|A@^?J(sNgOw z250xn_MsP`Ouz)R9`cx=jDx3i_c4x>?wA6O>@TIU7bTjn$%p%!`1rD2d8Op+YDZSW zFXZ3>4P%SaqG0+mSVY8uHMyy@u^YO61V04kkbAS_x2kI)hqEeE%gWH!O)V|`5YEoJTx|FC2hwT8@>>6R zn0SYGH};#}y$?W$Ic{d?J;baY0gMpbP?{Y~YhDu;5~?s2sse`|JxKfz8MTQUad*)= z;3+6pTqs1tRAM>frDzA3h>$y5GVVK$_?X8)1Cf1XmUPn`HQjd}+%sX$L(Jwo2?ft) zuz>+`u>mA{qH)5MCM9FJ!#o>V{`UAWC*oRtV2BcN?vP&)8KZ_5Pz9Egi%1hF7zGZ% zsl=?MFU~b(Abx~NR1yjDzaQoj5tnc3=m-L4DX5?JJ<5R37fY5%y3-GRv=>NtXv*q{ zPo)G>JzT99MH^kx_mcnHoArw0JD)uL$;_5w*Xs1_$k5GfXd`vSUPV^(2P zZNpJN3ari#6<$R1UJ1e>Mi9N$N#T?*B2$f8uZOrTkzr?b|E-4IwTF|F0%ms%PXDm5 zw1n$SRjLz)OE?tu<8+c_sc5-);ZWOBk9(QoJFv@7KkWg-Zg%&~n*jKE{c_SOJLUsI zY`MB}9R3&)sH^YWxRqJ@{CPTzCAW3 zxwh*Jj&Q<~`h?GaF6{z=A;oU(^LTrZe)H1{hjR_Ty?{GK2LlT+QU#3P{pc%SUF7QW zTysZBKKa^ypC}Ix4^iY`8r+7=nhM-V$ll1_5a(Kcuh}#J%q*tMc^)sGl~n^6kz>~K zjJ2Hng0?mlg7P04v(wVN^YeurC%Qs_&f)b{L4-r&+AUy2>BaQqB9e-ek(UZh6*b$I{G*Y$ttPA()kM!w3As&Isj4b;sKwTMK95i-)dcf)0CDt}a|L+P)q zx_QVtufR_u4wb|x8WL$+v&$9_gXr2!^($R|X}<}=1&mCE>({SGuZL&j2mcG>!_R78 z_)|07L;&D&xd+S6ojWyOIr0$azF~bDAU;3#G1&s5SW=aDvAB|ZT1BH!~{b!2fagBMeI=XhH#8S)}@$5`s#U~wPUJva5A zth-Vn|6l6v2-UYGj_ZavkW|IMpZz5r)ClNO#Ow=Ja||4HjFL<&HQuSJ3%+2d$l*i( zyQP(bmv<{-qVkH00j3P&tv>ybBXEk?I=D*nQBDF(ZcO4ziGF??R&ny40V)K%t_nC3 z#Ic&WhTA%O5nQPNmIFd?I5Y4>3TQc&YbUz^6UqS*vj2r~D8iKo<#|ca2ZV);&XWVz z58mDo(4dTCv~bpw7gR}?Q59W*qZsX-=`6>p$RPXzJm}Elo^4z#iWae@3oZ7n0ZzE3CW}#CCCN0WQx$ zZf-eCOCDSy@_HM%uLJ>U!x;H0_@^PBPK<4k6VFW|p34g_1lQdb#TdE}83{cT`{wY8 zY()w5Q{s#PqM`x3HZ?bsBb!$_2x0U96v&ss|1TZTBo`0G-rUB_d>a55!*`cI{?Yl* zcm<4C{axToXf_kZzmjXq*SR%wNFa#xVt3pBs%Z(L>v#C5r*9ys3EKCcg{o}AzJ2?j zXa5uM2TARO9dUFDY>2VtqfiRVm#3&O??Q88kZKHx0D?gPt4`wNSLlzyEKvHlLBs6y z`;T$h&e1D+;2uN~LZ2p%%y7dwGhoVK1KW+tK7w}>yaOjOkx0;qZ{v7A0#N-i;1Pfr z_ddf7*oA+AVO%(D8~?6N2lU_EK-{QDkKpz)K@-d=D7aOr=cScdgF{-$>!Edf$p`P$ z$H+MG6AYq4I@}QNxw7bhBM4ZdqNNjz2$J>Rx^5_5Mow-@|8F~L z`^{#L&mx8A{Xu)SzSh~onT z1JKg_L2^;&;Kkm#dv}lKEvTFvU`|NR;U|?CV!;?4cbnUu>os)jds3DjwwPhh-NqQF zqfRQ)?^|(rqRgdBv3kc~6%p}444D1uhQ=pPVTzDbk^xXi&OGqT5(-ahlEF-CT)0kaAV|jf`R+w}PRVc!F4;?p?aTR!VE|*K#dm9(dar%+l2*3{^S3^J5+CB<0#KXF@pzOfu zd><)G2omX5P=OdEHY*&@zW&;4mESlMUs#XJ`nLghxPVm<)Hw_2c$ZaxWQST>8t~;1 z8Kz_H5n2d#1Fqmoo7S{tV64mr7pot3KezM0`>bUHdN!Yr(~%0LIH0!Rq(@l4B73B^ zSgwz&ww=qb$^)kt6aflV8~h)4knnGul}&%osEo==c2^l9#nd`=T-w(0ek021$(fmz z*!f|Oa*`Vmec@EzZ00;8R(~LXd^(AdB#0Jsem@AW%Qf{Xa#@lpJmMVzuIQ;pkbbO< zW7Jd0SVTz&Nkz}?o6GKEoUTWD`eP)OU?Qv&>yJN39he7u7D&X+{N30e zaEMN&f01EfZWD3A6&XujAhs} zXOgvE1w#6X5mf+puz_KHaA@d+dmT98h&pc5YEY4_z%PwWQ@1 zX|*PmsoLY{O4@rU)zbw*(kY%ZMv81gy=3^8A8j$`G<fizrn+dZ`Knh|$Josf^vd z&RWL?7z5kx;%akzZu=^;;V_f(`a~k5E~RO~4T+jo+6esI7W|*z7OgM);`fIKQ?tBv OL)yRhfcHUNF!}{5p*@8F diff --git a/notebooks/figures/05.01-classification-1.png b/notebooks/figures/05.01-classification-1.png index 202e129ab071d3258552cdf0e611f0dba0884ecc..360aa1d997e2ecd13e227ed1466a368e5c69be97 100644 GIT binary patch literal 15412 zcmdtJby$>9v^V-v(xM{Lp@7nj(jn5_UDDm127@A zH_}V9)!+@=>$##19{3B!vwjCYv$0?JmO2{XZ9Qxp~@g3lg68K@bC^_(EF8 zKNB?{keTHZa(sR4lVvmfDa5=Q&5r+8P@JBGE@m^` zt8ye$&2!=3yaa4jC>G4XN}2zSj;ljpW}fi&D`fi)BmL<++oAN7 z>GN{)cC-2U`KH|_WKTKseS&@gRZ3WHdOB5Bz{V$|w%|shE}>oVz@Q+Xb5sKoeSL+t zNx#^|{Z5O4*YS4my?XHT8rvZ)0jjBN@t|7Qd6Bx>+O3_ks$pLT=rIN6op91>k5#$W zt21OepH0+)|0*#KCPsx(os!q)a0*j}VU3)2p~_gLY4haNQ~@Qw?ajS^Ha50#x6pso;10#a zjbESgbj$Qu@8CrvgK!y+?}S5{UsF>b+(_Z<4BlP|Hw#jY6F>Us+Il#>%v#*A5UBiY z-aBbvaPY8?G0q+}TW6)_q$rcS`h$>LZ1=taThbGCJqL%9qdzlwv$IC0m!YO!LxQCh z6}mw|&AW}8bW?D+Q|D`(vp;r{WeB%+)5VjXXRxA{$pTZpf>o_^HX6-&9I2_n>TL=BA$1_)3{7UXkKu&9%!{* z9wDk-L@NYSl9O5Py;n%I{q-@osYwK^EI4L)^ia;W1|1iVRFs!b{+X#+KMd5>(aBF? z*LNJr7I&y1mvXhh#_Pam=i;Kfsu|f#V(MPqTkcg-R*t+j(bId3s3*G}Ibk%>(GmW- z^D~pf_0?tI*>=&?!UES|b+XFiI{&>D%^Yfih+1Ei5o*3!|C@nI>?%?FgYXMrRy?j} z=jV~vb8z^R2?1RL1D2eTq8E>NgI!u)Ybq;$04D`qW(5?-Wk|&H$=LO_dZ^u!;mD~b zA7oFoa~F^IAZJ7I*RLAJ_0D6Y>S7+VJ{Wx=Dz7jop1HLirizG&Br7o8h>g>z zR-w?Lw6s*I-&)JK!8OIkFc8Qd3^6iC-^8SRVZlr|*6aE4`|g)FN<$a?SDMqbNyo>> zrz;NkjdVb(8Bk~Yi9*$`5mq*~L`#aD?QP0X4!XF(&3`~uird@Gsh>Ji6!~FFRayaw zeK&0KE};upyX)iYdmD|J1oL$<4OmY(8*&R}MAZ9Soo><#n%3KoJpxK(e6~yyR=mIO z8M61mT;=rac;0VOa}&x6+HG`ncBW|yT~E>9>3@7;@&#Y1U#eX0J0onmivt zZdTm9+oYUovt5|sI^IogUM^1;@S<|N*i)7`=pYOp6iK4w5%G95b{FPP^jU3W5gdlQ8=ppLp zP)@FOT7n|UMl{b17h<5rlTr}f6gusZSRjWWo?-B@x%AO>F+7T}Wk2AA7aOvEkRzth zT=O`k--?2f?wA6Ws>(I^To!^FZl32DMd-a;&PH}BzE2_3`DBaVXZL_Wm5b1}Squs% z{6P#ObujS7 zIW1NDEDvA2rd8WxFcl@lM=V3vHQMb}s;et>HY^8`Vtx3GK~5RXeArxp+QI8y7fM7a zEWa&CJ3ex>(`P}fuM;6W4i4&XN06o_)-xg!66^Cm+8{r<&?*`D)+=MXr{hV5e`uL_ z`q?@vse!Y1tS43Cc7fQMl)1qAITLY2-u(PBkv_IX%iVB@++q8JeeF9d;n-VW`lF|l z%Fe#L*TjlnR}fEl0b|GHS-5#rbX_<+!MeIlKk@!Sz#8rP5D#%lAG+UN7V4qKz;jR7 zCX2{}Wro9lHCqvYiM5W6my!GWI4GZouk@1|H}ls8A7F_PEAp2a@Z47M27-}&Fil3{ z5+u3d5oc-NJsH(9d;8iI5kBqWFcE}$GmD@eGsZnT{Efh!qK&0LZj^{CA+*)&x1#EL zH74dAb$VW?TRhr}cZX+e9bOd#_2?`eZbhB?%zA${4+{KIO(QQTi(@2GqBA9nGsERJ zckp)g=G64vL4S_kgms0H-L1(fI{}(wv7D}=H1rlx$ulZ_#aHSzWl{UC$wcn#SC6r{ zNdE@ZzBG!^Qz`57Wp${j;1}45tHzR26F{TCqa7@5W>Hz-(+jQ=7eY=H6YQ~a1StHtfzk!Asm3z(6tLZ0Hx#{a`11v}C_DgJg%qS)f7bK0&riBSc zPD$fbcPZ;|j&`v6bbV}m=KaV8;l#in_=j@$*zDjW&=MZ@XZ%9``xE>KQ5(_WzuqHP z3&k5cqsU)|o6zhn4tf|KH$05WO#uE0O@W=7v z;p)1wp+2w`#s`<_u-rz$?ip4Nc^$GdUBTAu(IV-uxCimw= zG)8=BT3d?bgMzyFZpVbq#OCquDA#>&^ZvCdN19si1Dlkf(0v8Z6V{b2WoKPVwuUOD zp>zwbOv4JW9HpX}qst>~6FlC_zkr)N4cqj$Ux1gHidz~+YT1e*;sWlurib~cylSh#Fy@$ZT7|Q=)68lX*HM#$J_>-Q;+?_R{ z*rQ|Fx;!rpk3qc4hY`4Sa-8=C3-Ha{ueFP3D2z zz1b<+RG(iuc{ZYfRaP2ar5|)n;xF5u*00(-^)9^=DabW?)^JonBo({5b!uv=M8p5~ zV=XNhn7w0wM$(`bZc*3qW!ErQ9ql)U_9uy>)3MT~Ppjm}q>t6QFh3d?V2ewq;Dn@W z8WzLGp=CQ76bgTk&L%5`2|U93YxjIq;Fv8phq*9z*HNGz!R zaG`zErTwOtpqukhmefju9`cku>fL`uqh(Gt8e6F`@GrHcFtXuf@KeqSFn+z__8(OE^nU|MY_Ir@;==<#$xfq;nC3qOe;#40|lzt z_d?T$IxC9CiU_@qO-m+HDY?7h;fw;w_ltj{HN!XpCe=hID0aAVD)Vju+YR)!ga6%9 zQW@Wv4n=L_BW3Hwtw<7W0b&QE0FAU?m1={LHLF5_4(cQCN|+IpBCB@Bb}Z}v2wLbW zj0~#CwAlp;I6iNaNoPssX{8O9(0K{itRE;%rD3lLA6y2g%1Dfis{I&W#r_!KQ^0DD zuu|Y>Bh=*?m_#J}@K9EFb+QO94%bKB0&+h;;y4Cif2`}$f@&o~x#w;U^zk+YzgstiX6I(B0tCDF zKSpC>C~#xm;UQ>;)A;c2`BPQ2BP_R#{7to%bo*JIw{vu;M(dOxmjJi)cD=Z|FKiB0 zEAMy{bW@(gVAIcO-8k<-nOvB6;%#g?$BMFu6c3qS{UY;vt)$W}0UuUSZdv1HAQiM%+`PB!jL!aw@Kg$Xmgz8qP8cn0=y7(v#>&{jOi2K(U~c)TlU9&8zG~T^@hF`wtPv zC+WRB2W?hH9z;Effgb7&O8Ba!v?jiJ${rO&gXmf!nK7x)8=l3jcvFW^}DQ~-8 z1eeR79o`sTICfU_Gm-;`FgG0;>Pi|~i55F;r*T_0f{aBc$C))xPU^hIKb11L zT6E3WbDl7x#J4N`9&XSdq1f!jnS%OPU1-GUa%=|4QQ4Es(Nq2j(k93{TU62}-lqzU z*8TJGkfxsBo9{0*XGrDQX9wzcj$Tgfz#X277lP>K5URQ(DE(xhn$`tL6f?`=qwN%? zhc)`%e)~i0tZ$b9kq=Riu8wfq^;@5aRY&UR?cb(nsr)+XZcMrR9t6cu^#|F}J|Tq1 za~&o+S!Z4FAJ1^ZIq?6Dnf#$xA)mv0|VRI_4r*b~ug8o3}ge6n4aW&`oGKywbn? zHko&4UD|ws^Jxsg10uhxTE#7a4eflvRAr;Rq{#xV)lOewf?e(6?Iz=?SRs`XmdGf% z>I{cZ=+JNRcF#`Wl^mlk9qEMvl?JRRjCc!7%)BmS=8~&F*ZUQ^!knmJk5kqcKB+)z zs=L=z?^?X4*Q%54I{k@c0KOg!mUg(WYGBk*peow@TdbCG+~S z@T~56MCgcS9t-e>F5k?(o=8E!O2~&wr>pzd*@*ph-HUB{3%p7NYuJ1m&L?zD*Ytf7 z!hVhv_VP?>JkXHk5g&5Lu%=^_>Wk{Pkt}(_rZ2eNSF`Ct28>HOv&WV#u`;RB-7Fw=d z)~|efT&*%O`YY-=Y8PL5JoivKG)uIVk1@u8SEP$)jrkY~_yA$&&wvH-^@-Fr`}YY( zRg{VZUVxxCX+KDn%zxhR-c!h$s{Li*=;UO6Pmi47)2F2%2}P`1yf!v5PxlmU=;Z%1a;2sp+?LOzZGRJy@lfAsW>IXZp;na#-Qz7Cz z1idy21peY8PM$NYZeAnuiik1Tys5}fA}+`HU39h%YX&IZiu^C z#Y!qC!dGWW(9j?#I_=1tp6YN+lTmU6{b!tv&{3DF4_)^X;sf)tj$gD=BDF|mx10%V zaFG&ij=YUi&c!yGc&4RGR(JRTv;o*Yg_yl#m*P<^BW|4D*;cjn&)W zm7V^cLh&?z;z~mp3PFbAs6~}td?a^opF(axP%<{ZQp0%;jo&eEfK9x_f)J4*06FgM z8X9?SG)hr9Zx*vkc*6tZm6!nyU99mAQFkn&_<@uy4<_~!OLLQq{NaL#*0}E^sbX=p zdvMVYw$~B>Q!%eHcD;fNJbrSnf^!BBFb>mc zU!2ZP9TR|_z(A!%{*%sw(fU}80ajLdt$=i@*Ln}me5Sqxx*#cZ5Ed#pX4(MDP4T=6 zOru3wgy|%_6|5%7%1{#KzeH|jE;&3P5F0VVF)qs`oiDZI0bEf_VpnVl*`hhn*{L$C#13AdqW?3 z3U_mAXT5cP=RFflt@LSrw@*R3xu^$x#rh50s!wAl)V=WGsaW}Qs5$~@uc4R&vH@Mk zn)nq)PTmfe_)MGiFvLEzLW#f=U1e!FT0}BbrOjl?>LALt9|Tjk>v^A{safoYxFu(* zBT*N85qBSQe|d63u=t2P`;~s<4WkEsJ`oHn<&cxVQ|K1B#(^Tvz!l`54 zr{QA8-Od6^dNOkm|V`z9f=y`)GTsRXE6owPF(7o=+s)q7^Pxc?ZR z<#f4$`k-n7J{-lyPq!gTI}P{{>lmb%j8g6?$FsO{(LZS(L>cek_v-Qvhg32-7|G@q zCgV<#s`dHO=sq};|3ieSHkrX062*+l8z!%2X6BFwF?LF}rmRMnipTO!_!8S2)^ry- zTgRhB)S~6PR(Ow(ik??k_KUWH^yY;~G2cDa&We*V1^z#tuK8U58{6HwS?^$`@-Q15=KdLb=q1 z;qgQ=z~k#hcI40+F-T=@N<}NXt|;_}zW9e-@n$}OwfVU!gh-`oQ##0k<}W*^dvpwE z2tcHLzD$E2$+fhGv9%?2=A0o3&S|(11uizj5*|pVgX|RaqTYCOBE~kRuYQr^KoovA zXTSn~^Swv%V!M_YIt_=gX>vQP2IvZmTbRhc-l2l_pD$cEEx_SL=GSNNrt{tA!;60- zgVk5R56`d8(IYQyJ}O+8X#>QYOsp+lmxoXA(~Wy`?2AqKEt&HWM|_0>0!~*{}sjYrJ#87eOu~amithK-?EVF=CD0p z@E?p#*p(Oaz4u9h6@`V51qB5a6G0`Xr&VuFBF@3yRyV2-JQ+9>UE>JaqvJnYLyM1s;sa z3)&6S5EBt8Bmx%UV1JO?u8|Fb;+6NgpolI@P?PsR=@6L^5N^2*K{U*0%=nQ_YS&i} z6~S=z8SeDG1hr8H_}Y-LRHSL>>3Y-k)%n!KMBYvDK37BG*_^vf{U8{YFjEy~{Hl=B zZ$Bl5Y)(2RoFq)HJYR@!3r1?W8*SFDE%OTAc}|JHi5}& zWR~AT!m7{=7Y>+daZ5U8Qhu6QpyHmtNuk4SKUi8mpt&*(%K^W;me@ilg-r`V?qXo_ zfSXF%-`k!jvilBb-1ssuDVN`0El)-OTf)i7>1c01S|oY7&7lXL>#4Ya^I1K3g;f3$ z-PR@{emJRZSb8JbFD(ch-}3Qst-6K=yJjNr9GQJr?5+1tvMF{i*M(w@jE!~m_0!f% zAxMg=zZnv67|&mp%qT439~P1U)XLz0$;cFnlFJi0p7V+e{8Nx-Mzu!)Mp@NjjCHV) z;g&sW1x&GZ-xm9ZjhSr;sJUSz7ekJTCF$aN$%t;%7*Ik`pI`uKc%fQWX=36%usVPa z^gP*n{TlOuG#03{t*Jt6+}!#B0gV#JjUzUI1cBmLfick5hh2wOm^SOt($ZFQD95h$ zZT=f$1QQ_|Y=#bglB#c=A*?`4-6>H)N@V< z)H%=ap%z+25zH7+I8CA-qm)FBda6xHTbo(?`8-+&FitNXC7=ME{^a3gz54R-1F~rq zO-)p?bJ`oRWIv3pS*NO$RUxA~#}u>RJ=w$KV8CGCXW1#lyqH9TaK^7}ng6Z!WF-Bj(eh$5$F}I7RQH(R#gw#DUxO-1ca% zIP2z?%<0xcAHyqrqiqPHj=0$iFy=nsq$iNSTS3ila(CZw0f%8iAhL@DvNl5W*iF?H z80v9&POj>Sm8$w(ze(&Bi%wpOv;rL3$>SzT=J zEl`y}t*WvA6TDVU!R(U{f=deQu)r+ScYfDC>>^X8Ng6R`rpycGpd4RIp&xdZ?sEd> zqgP>6aCGDgSVHlGQ5gbk%%+tncC{VB|J5zQOmQJK6Fw@c!}L|680?32KXw$;ug9wT zRwX^}FUI%MPhKFepLdqR%BNr#Nza-)=t55{O@mN%fv7sT_l!;2cJ(0FpsyliQhfDC zd8+0xCRw`oTViQu0|%k5Dvg)qet_;T(^A^F#fr}9c{bONCBpildb))A*3ANIpIY#x zaBtISxVcq5b)75b9})BVd1%4&F`^XuJ~a8Ea%@^Y^bz~rG@76jj|qB>u5*cEFg(L@ z*O$d+Clb2c!RGaYQrUwU&?KO`g3zt{;^N|f52Nz9bTU6TdQghF^tA2AJ=23$^PR)% z3uJEBMT^8tYQc7zSylJ5E1&v7EcbWILa|AxM?Dj(agvo~l}(OwW>w$5X$}o#E@CXL z$p+1m(QoNmqO1e3WM{Z=g&w+|&JAYV{oK{Ve*txDku|Skv_bI}oza`k6 zJ0z&iu7{l^HZ=&49QPB{?T!@+E>3h@p^Sp9Y>Tp#3V&&qH!!XXic;!Z4kbrVB}T)h znyr$E;`GV9QU?ys_LiOjMrvDYeN4s%u9kP%)@Zj3D9l`y7Q8H@!&}C zBZ-WZg{i?C#_55b^5dal9YZ%iHQ3yKk>GoIv?*Uvv^{t6CHs83w{~Tk9@#P2u3L)? z|B;2OUDcSt)TM)DmO)>vT=(&adpaA#EQ?<*@MWFaE%qxA zH|I2&Bj_5vUf=~G?H2W<4O1M`GIJ6{pl6RD3?ZBM8tuN7m)tY&e{05x))$;ulbYgN{H+!)e6uVw+xHs7J*7pQgq;rJ)KL0Q%h+1*t4_!Qw zic3uB)T}y2FC=z4LdOqph6FnvZAzK2IKy%@xC$kE_KPAd{V{>Mv_`B;TmY@q89#Cy*19jB*9f zU4o`ghuQZ}uu4Udk8XUJDObGTjnqH&ntx`_IZb^!e>k5li#-g{IyyugU6W_mN@x*V&x=w>}7-w&>1Y9$;0+&CFYW zq$8VF(_C*^r<6S5At%#QA1{y$HUX=rj%$8ZK~$x#&D|t7!PTa=AeH;H;dZK*Hohx}LCHbTSww=J5L|9cMs&$733sAkpGR#_syx5Ag@Jr)DQs+6!G z@)$XFDL$%cH#gz1pASyE*fzQ0IEz;Su(H?GH^e*0rX4iBdX!8mfz}=1bk{l;#mCCYdA@5Sl4P~6Su#>Dppu&MA%uH1O9W@mrqD{ zg3oQ3pNFtz_`sr&MLFZh`^kF6j$;HquAvS;DV4Hcf3^)d(O%W$S~9w!t!WU`gp233 zw~pMBvfhzMwjur6N0&P1MK;5(?2e)`mSz_(-k6=oU4yW?CL|Lnt;a1P9}~967=RU# zm=A(~-Q`~MWV>4#LD>_B=~DH$z?Fa1+*f(o*XH#4!C%$&I5-sd@82&C+!IdUyNa{< zbB?)x7fkunQNz{e&Nt1m1d@r?y;eKGUeAu&imDy{)#%Ls6!dpbGrJtqm*+6r1=DH0 z$_dLmo8g{YXr>MzU5aA)?C*akBODC;$?dbwhwZLiwT$+kVi z*3jN(b=M?uio;`(bVlFa`BpZ|YY(?86=-k9__y`akJc(zPJoxPF)Ez;(+n3RW&6o2 zM_^#zPHL2n3J`d_?V1TTEYvI!7J?5C=YPEQQw|^g7@Uog($ADj0 zIYrf(U($Pm^%>70kg4OI@T$q(@NYcR#NVSWDI70m<7$!pL3OL`aF%I!frZbT4YNyG z)z+*Q&}PJA7^<*+-_-6)8pVf_-q+1zR#!#V+Hn}G}8L$QdWsd?7K07&PfZH ze&lm>0o(#&~x$);3kjT(}r>r-^l!$Y3s`2)6G z63gyOLa`!?p^D8pX9X*lrqvbsfxfP(<<r1=pd*7CA>k8YYWPK)lmi^Gw3#BA}UW1#U=n8o%p@$m|d(^M=a;L@l#OOX1>i?^{ zjY$k( zs?Yb+)6;LT2B>!Wczatn({u>lGCtmlK!+${o!1Yj{j`?tQhIxSxXT@uPwRB;Hj7?7 z-DRKk?|qg`@kg7FN{f$=h5Z45HM^s`MZ2QgaQ4!yFFjS4WnwrH`?sR3&n|9k*Q#JpDGl%S+ZS`kNfFa?;Ox)=62-|7|3}rlYi_?mDL3vIx5P@yn^_w5P6abDHJo8 zb5XLjhn@6J(~%ONruArz=}sDw=iwCwFVNyARzu(atn&RzI&b~vI@8^BF)Ue(s#|2A zUaT13{-;}KA=^X3ry|$Iry8f__LIKp_IG>?JgMO=eYlUPjk0gza?09pOzmgKBj1PgG$g1E+)Q>>P^7%L$j= zDH-i^pty;aA3dFwacriHjy4-gtoQ$TH1@vI&z?ja&lMVkHLMA-WeaF4U;jY>xaw?T zMo+=*{6_M2gEKC+r!?Qa@tVaZvxMO{VMNj}*0_->ul7A{T}}mbddmxcsgcV|;way` z+f_Jxt)T&!5lve`B*n$9jz;JlRz0!8SC@!&R=iUG@n0Usao$T)i`y~u*N5+Xbbz}B zYun0}@y*?2_sxMP&})n>p}GAx&|1_Be+|*>@5blZAqILJUrM_-?XP^ym1bB3Xn~7A z68rc0Nc{Y(GkY$qhs1t^>=~AnO*Ct@6t_Dfi=Ef3NN^_fR$dQ>Iu$qUw@tG`8R zXN|58kZ7%1zgjC98lSd*o^nWx8(eGg+{;ZIoiglU*FmxK+4HQ! zZnT~A!IrgfeFZ?gYDm&>&|y_ zb)>J_znc_HY?QfeZrp_f1ei43uTsUo^aAYS>Uc{=|7T*sE;MWZ?~kr>e;rY}cF{Mw zwC3OQWVz>$0=ff5Z_HHgmd%qD$B;|PR*&9iHKq%!qW?zP7}ce7tuOZSy8rqEWg5Fc zwkLKEgeL%C^SHci9!=ArS!%^RRlhewr0f0CxAL5OM(^d%Ro_R2)9|n=1wZ2lr6M8g zH4l(q(3e`o>=F!aUk%#6@ToShR6Q4Z$)&3FKvqM7;tWzxz zoqIi5FCWGyko6M5r=ktAD*JBp%k#hQN7rjo`;6}-3(C>6Pndr$Ni#_+saAj2UinKmEazaIx;fdsFkF|qn*4KlA`n#0DuPBUV2Ui z`;>DXsS-xm@%Cm4S zT+npJ%GaS!jrJeg0g^ZZs{L~5R`-A zUV`@PMC-udo!P|ekc{v>Kn}!v6`JpBg1Eh{fhXc!oc%~|DvUo&+wdu_&1W&&_-2LsXgCL2M{LC+L*svd4 zT|n2d1w|@xS-@-t5C&{h{=8s@<>bIqJN|l)&Aj9MnWJAM|?E0zGj&&r|he z686=K5Y(>ylS*Iw@+c8hsq=s0-GP>Bor4aZ%pUb+DapxHe|b2w_wkmouYK3`)vu2s z^Wn|_L4nMKEY1;xO4?n=FeXvDiKE`o)QD0!f;!X`$YtSPi%rs17lZm!dq>JMT=<4P z_bH&IHnU7jjFQl&XZZ*yaN!x!s4~kyzye+OP{{S zKr&0oWa`^dhj;0lZpZQXaO)joW3n6>5sLE9>=3Dfjaa|q~O1(jJmDW2HTcwU=ZHR z$MmDqk!T&bXjLC6p5rVt+-Z9KSwA()FMn})wv0xFVHQTI!YV0ULMl+j@&uG0^!QG% z$H9PPm?21p^K%o3d+Tkw^JWhbIc2`vIHhI>ZP9RD5t~Y?_OlVncJyAdT2@iijPhg+ zN_D3HL=z5z(gb(&L*w_9;rRJ(a8XdY+i^b;P9*!_xY-oMXRZ?)v{-SS3$kXL zGlDhZ2ZN+6I-je}HZSL?$fB!5@lWIK{wGwMoMckm+1l#!6oi;q$L9;NxU01J_=*P_ z2X#Vvlqg}K*2%{;JMna<-m70T|DTi`@)KULY=H>c4Lxpwq$B==D12Sbru$2LFhx@G zgb{4(EYq)=2Iz}fF(&303D!(K$aZSi^&6BE|GapfEu{f;)BCDny3brIVSR_M%zxi` zrvJr&6Kq>^ro5Z7(td@dGN*FoYmjrrK zc3;2z`A41x;+Ev+Y}$;;X0MuyZktkLU&ZN$Of1qHFsQ~}o>A)FdzB0ag`3VDMaoJR zKb>D@U%=v3o8IDi$cuA}p=hXae`JjnFV=q!cr;$S5&}~iP+$P`Wq77u&<0L=>rM?{ z2o9f^%$w;2sf5>4Nws3QBnwzPykLhv!zSm+Z+*e_*OHopAJkdy?&wdwmb=MPR7kGh zVh9OdATcbSv$%fDJ%xv`B5a^OQqWNWL2yv!`2XN>&$c<-WD=Ba0ePgTB`+_ZS_X!> zI^<5%+wXg~vHU-Zj6*;VpzvsSfC2$309+pMrvDopTV}Wz$N^(k0va?DYXkn-f~_I8 zjbARN$HqYC7RWvmj{S2c;*Nzb{o^Lw22(j_xE?YR^?GDFlP3&PQBzON&1Ita_NmYw zwtppx=+Pc$dvrxP#tT*;m-z2^;otTz3myCfA-mSJKA2|L{I;bxD3h{fWE;GNw)Adq z!j3=wCqWAQ$p2NV96J$Iw7#BZuIJ@dLq$d9J?{h0n)C_^3aWEkl;AY1X5y?v&D6*v zrz^CLjWa6SuWs6QSU8U{{=*D2Q}xY5be}Ew=Yf7L0G(S~TW4z>CKPcQ5cM|cz4RSi z?CcYQaFaY@>Zh6BF3>(G>2 z8i#Nafhdcl4>bThSz@i@6q{<6h_1T$VX}y*sLy7W-_9@o5gpKq_6iI4=B(m4cjz7= zVA=w1nA590`fE*g{mRK$TG4}Ck`M*6Dt&c{)BKga?*xQ|K8I8KW%>DQ#b=;Dj9C$8 zX?+xf5&sWppW2MBzG(pp(SV%DxvB-19v)1nJAv-Arn8+gvKYBT@U_lON1di-f@|BU zEg%;_H_~<|F8w5Mi-)gBf~7#m(dZM&Q$@w`o)~KRR{ci_8ZIssH*H^rsRe>g(_5?b z*WaU}qHYx9^6I!9KBaG-RpLh5fekPfkE`#W-?_&NL2mv7te;d$tE$wQnVF56eJcP@ z2MVc8O-*WNb;MnxKOzX36-`Y|9o^jE;>UB0ik>v`-QC@*$1zY}5Hw4IiIF z&A1BCLMSUMd()B!_As|yU!seGD;?5BszufLKG9s&z>&0O$Dq9ukhX`7BOzSGix|)| z3u>`&5B{Jd=hpoJ_O6E;OPy~L^X&ynS5{tvF12Ti!Cog#i)eZ?awg)683z{^z>Do5 zk=n}2$^+**`ugnm2^<#NLK2wrLrw=IsfC^nnzK>GI0B_LY7cE~J1F2TxD0{f&$n&? sUe*LO-uyq=3IxRc-+fvC@Be>Ig1x+^cy22x2Z29DS+y6H&n;g6AN@}`dH?_b literal 14866 zcmdsecQ{<{x9=tr5>ZkRL`jeYAw`K2JqV&R1cT_EVDy$mNz_D?MAYcU7;TJBBBDh% zM$|;_eRSr$zUTR!bMABhJokC-x!3d9rr3MG`+e7X*ZO=uYrWG@Q>41UbOC}ODy64S zv>=F78iGiQDb9gUWd017f;Kz@`;w^Z8-sS0YHwdDV{{x&A?gNyqndW(%a)m+lp^Lhkl+*to$MT&h2tq^0es6_{SgK zlfG^r-Bzo*l#)d}{76?r?4GTSZI8>mER*v@8R-0`% zv>{e)VPRo$w92h+2dRf%^lUgx>Fev`RLZe!UvRhk)A(u;hs0wg??Hz*ArcD4T=g`V zon66%Ie(&xfOS{l;lVJ*K1ss2;wA@2{Fg6>sBX%}R0?UR9;0XME#DMM)t|4Ot7B|j zB=hE+ZBM$)aG7-s^>q>UenDLrEXS%dY2g()tA?LnEqIyz>J0f{NW#5({(JZEA(RZ| zX3ZBELo@i{)uWrkonIc|=X*0T-dk2Pv$F+xc~2u4?j?+@z@9(<+}GbvSZ|`S#}~l~ zU0-5jCwCEQxdPYV=h&azC#Pt{&Te>JWnjp)PV9=(njwWzV zE`MAocQuT|lZSPlk9$sD~az+7rCIVKjue70#E$LMpH%IW?KbS5i7&GDPjmMTig7J-O<%0DEN^=5G0ty{6^K- zIJLdKol{BNbG49}J3JzyA512vQgd@N&z(DYzA;UID_5j-bab+)n1yZTdop6PKHgTh zn{NHEIEebfxd3cobKeg<7!o`f4Y;VE{iEnbKf)4NBHQs=Z!lzSU;?+)Q|~GiauW%#vpywbJbE#m(IIx{9MO~1Z#|O;4z_k>B*BPHlvj<+q=3FIHOp^ zVQc|=8D?f?)2>wm_5Qwe3=EG%)= zk+b?=_X6)>iL_TEArc50x$*ze@xilxK@>lj3ieMo3;ENz@7%pxRvlcN5F0DaMow~k z-D~^hpWc>NiLtS!i1RYv`0hiHsW=(?|HObEkHXsW74;bur6hqq90kYU-2 zx?yUj%=w|p>WbDp8w8`k^9VgudGSLi2!1Ju)`cM)&0X&uac<>-Vq6 zAv3Bew}98UR>}D4%2)MWHsi~qfJ{Bf*vUp)Gn(8jiF4Hk`Wkpx0P0EZqkDLXsh@`W zj8J2d{<)YSfs1nY9&c0*I*(@^bU90{?cDFl^gL~9r$}B5PRM35_9%D&#~;*)~Cph3!)u^g}rSmA)6w} zu6vK|Qih&suhtuezR-s=1&Kd_NF8R!MBOYbtdO|I8crpgZv4UVvgdYPOAfDaLd#{p z7rmP^1rEIiDGJ*tdtP4dLGrCR`=0~(^ssa34_qiO7JtZWiEjHCmp?GLvNZhF+zjV` zbjG0AJs%MgaxJDMv%fi8xxKXzpW1U%skxpaJ~8pR4r9E-M>xkzuFvoR$at& z7cuGSw1|z#v(4F72NDUX{kr7TY}Bsu5EBS-#h3a8onPL48xmakDqig+{GzcL}$5u^-=g)Ue7go+bx(_pM)ehTX zVM0EJ=wDnGH06+}+3nfc9oM#%brVuiPT=&GU}Z6?d)h7O)zFL+;>V7lV(9sGG*Rj~ z0f>Rt)QjWc@6{-xz;};#^ZL?vn_o zQb@=%uZvl6abyP~6!r7g{el>~F@uyUt-Ea+wH^7sEz!Cl@Zh+F3#96{qKBy&(XDy& z)fKM=a^wE;)vVBRD%I>P_bs?F#HGd--Z(=(=6e3IRLALVVyvwE8plO;mP0zI6YMuH zGh6iG3eqWEQmEE)55o5t&TPy|9tU&6LXopeQGMNEf%96u2~ieOz2FuE1*b@m?;uqZ zSp#CclRs>FJwBbmJg^^8h}*VtS9{Eq65p_5lhv$UC`oBuKb;|CU;dPnpBT6sDi%|V zHLj_tP@oILE*`2&IcZu#vS&%=h4266Fa9)e?YhU(oVK_3f&1|-%bn|aKjH*aBz&ZW z7&f=Z7Gm0GT+dD?c`TXp_O!fe;k1ElzKeOxr?X+4(Wntgy>H{@OgIcuESkj%@f?yR zBcYHUdU#Pz?i^J`^+o6g@XKON5HfVX2)9iM;2z#EHdl<&dO{{O2?d4fpA9W8wmkIk zFSh!4**8YRj@VmZi&H{(`51C>HNz6mK@>7%?1J7H3}!gss9cPOl`CxOAjaK6R)COv zU)L=WU0f*!N#B_~k-icaxDz?(GEf4j_iU$QxaH zZ<~Z2tq1#;6j}PM+18CI1GhhUuAz}=`x>u}WJ%*njs8^{bmv`XJzYe+*;n%;Huw9j z=OLT7fhQ{Av@V; z{W>8FM7AyJI&!dpe}~bx~CLIYlk^8>YCq7V=X;w67_oRiD*1&3S6A zwWWL^jQV>T>gd{ha>2u4iKg#jW6e+#rScy>d|(pr3;vp!iQ+#G$+D8csh@e;+Gxg^+v*)tZ{PRN!P3-zFXC%raF#;% zt$VGjmp_yqT>Q`iM?RwW%Sm79k?>Dm8I!d1go5}LO2O|V7nE2E-MbgNJ|mnjB5(8ZUkLyJhzy=)|tSItpj$Z=X?7^|w^W9?=}1UcU1i;mDwN9cGxQ zm>EWeEiOF}cKZF*t;>rGYiEc)o?b;I4Pd_*SXUI`PvoT-7#J4NTMYRft?$B*Mi#5w zTBvz`YZtX$xivb7*=2j2Ue}`5dRwkD6JC8-R1zK@ZkOy_c%BlIHskVyjXV`DEN6My z{mNAq78LjHD6%DY6y1`e=Ggc5_JG%8RuacdLa z>L9T^_L!i6^n)O>(LX&O^4P>)b1zXYh5;8U+8>lX@$tQj|hLK8M8rS^DR6c`&<;#j{(# zrFD6;T<8#=BEGQuDR(*+r0=92EA8#do%`F`$B0$G&Qt+)L(kD8VUTz+4VkoHoeS|+ zNjcFD`bF975B${+D^>)n z3k;Ya@#%$h-;m3hWRa8zSo>jEM3H>oFK-rQQZ)K^YU%s4jciKgy!wJ)u+P}SvcPUu z15b;FVULC0Kl;fp54SQ$ov^d~C(oL3#`_j`hS%*Z8YJ7>+D{H1oss5Xhe%95j8v5k zTUgoc4`T{84z8}aE{25V+z}Rb!8Xtr>F2Xfc`VDzl2^CiVkH7>8-nu1o<_7zYvthCy?sq2nK!dd>CC`Oqil+D7O9bCv_m9;s~c@ElG<%kGBPGyQ@iv&=P*80FLCO%XciVRSN$(LtQsNR85Fr!r?%!#UYf_pCOaT(t9>v}kdK^V zTjsQLsaJ3{irweX`!0V;MIVYI+L z7t^gHNz#mK}`!ftLrZf%G}g5O=yA;6w<{% zKJ;7159jX6D(;pKi7$P zaWP@FY$1%N--&cYbflJ}W7LHC>;&u4&`@-mNRgGJ+Yzf9SMJheGi6kODm2IreY-r% z$2w{~ZgzXiWecF+MM0}lEd%UFcYkYwQ|2wZvGFF?iQ=2fBQE0>N>#Q=u6sxK4u z6(f7NrI5`a9KYtcPtpoEqEdMBB)>v<`wd6Xh#d5q%j|m2g!MPCQKx44;JKWn znVA`bN{bT7=am}PU8x^9;ai`=U4)Dd#xjWaQDZ~vY((d;<_ZPj_k^yOh?KZRD9|wa zDb7)c=H=ZXblM@O#DxdPRtt&>droGyge*sgf{e;k5{>B6#3pz3<-ajv97p)s@n=tg zhyG;h19Nwmu~;9KGS&WpzX%ogZaB6fS4X?VqhH~8cXB3t`Jr^@VdOx#oOcqTS8+4x zq{;Z1QEfX<``Ubxd1%ag{_FkkQohV=?durAv*noe^6c#dEVHcrj?c?BuFJgH?&%@n z8ONw4dKP`;AO;2OrL@FfPuF!&%hi?`#`IO0lP_V?M9UTZ%ZAA<2F?cw>7NT^)^}yR zcJ}O9gHoru0+vggUbW$#Pd~0Qv0PRuXV#Ya#??7iYAAXfHfVnjV2TQPHoN7I6VB_Y z0%5xgMQV-%_3%US`T$MM55i7kUlZCoaSeD#UQsdd_=|(n#JA&N@APsG>fry9#T9(s}XIR3e3Xc}^OubgJKTdyM^^EjGy+4!Mi+e#Vk7FG{# zh_DRdU(rX-vHBKjE>Y|TP@nyGlxm#_{csBkf&{3D;&m!oW%Npm@x#x=h57YRf8RIF zX)7DWrKU(qwCa)u)zO0gQ*ok4Z`yN(JCA?;R&poJ(BGE;n=r29%ex3IM;Mw)2c3e> zBjQP3SLPbpw=$J;W@Y%RZRP>b?Jxc)h<%7c8vE+7^Oa?o?}4Rdc2b$e=XQU*^SkD2 zl2OYeiYcXKZ(wrT^K(f_OnioQ26{;Qnfv~Wc$EFe;efB)+b^|G$pw(r3nm2zTlpM( zu!SXF>Qhz@Ck&3BU3|F7iV1)BfzuJB;kUQ8guK58qrD$NegcmHEu|VCAHUd_9dY5O z^v3IWB+l)-j{Gs-(NnE2U1NxfzRa&*zXqAG1=ZarB};$x`ZZ~%3C5s)=t-5?ln%UH z25$Hd7CPh6>54uoO6XV=f3hU(Jn&|BjG@^6OfefEqD3hoT|@@wE6HYnv%{@jA{_@K&8%1@&yo`60xV)8@z> z;vbM0;2)Xdsm=ie5tRszrDoHPGM(fC+OT}21gQ<9$uYV zx7~!B%kK0Cs=+E;OG^=Z^Oxd{>auEXt7 zO9!Tv6-;juItH+Cdt{8Jg+*4#>7y8%Vqf`Nlk$%4?mVxzi!U&kxx=5~UFVV3oy$9- zw^YKex=D5Fd?yD(f~tH*6*|@`$}^h5Mw#G-5P4 zFBLoOBBJxRrmdeyD}1r3C$46#1YksyZ=5#ljgf{IOPS0ddZ@6Gg4SVS5qB9iT&&63 zuk)o`hl)|8bxl$yDnl>VVMP@2jFCkgXOF&9lM^|+K~i-K`ZEY3QA+1Xg{}3;Sp?I4 z*{-(~DGh#_=z4-)r=LT$nbXj_+LG=0L3kJgf6wnsC(OdAYOIbIzX?8it^e0;R_E=d zZ>*15W9ZTP8Q;Tsl(Zr~Jym6udi4(1=m_!_hwRc)Ephb}-PQLGTosJEiF{fDapF4x z{+qw8NorO(cGY{=J@Ttd-B1@i3pM9#V(NFNuaGb!WWBb0>U4VF&^H(iWs;`wEaTWMMR#}t;Kh(>x?Aw1JV z?&si05$8iO1yPQ*-dJ5;p_x=)=M5+5GKX~WX9KKaQR|(C7Qe`!>F@4T8jSxbxe$Am z?n>s@b|y+5(j-<=T8C`U-6Ap1<@5>jl5@PJJ%XbTky|#8{#4Kgneu{Mb-MmjZu{l| zjg~lO&W&odxASX3kaLcza%>TuiEWSZbK@L$7(FRA1R@*RUyWqkOdZa>@&z_OG^;CC z<{hHoZijZNssea@G@-XiG0&y@7Mz!-(4M!(;H!Wk%x)5H&R2NRMr`Q9l<@ixp>eWz z=bMZax$*r&U^=LYa?Slj^xB;Xp8Tp+CQ)T-MX$i3nK_a5p$lgq+EQRAd4H+&1W79; z{vK-r%B+!wlorS+EdPF-g-8Ofi@%gz@?3>wcfWt8eO^sl`*yURnHeQgJ(Hxp7~gH(5tNun2qQ9EYLq>*j_kc#Dm9L`WPn^`r?lD9vR9A zJDBtpf}+A9GC%qFqcs6q=Ct(5&31OZGY|#Y>1EZ@x}9r4vhnF8h6GBYKmBM$E7pCb zedgTCZBJ)htIU~G60v9K`%MU5?XDDf(4V&bW#UMIl7U}GRaJGY1aA^J_PxF5Y80D* z0`B%MxAPkH=N#^s8dw;%5SE)IVp-8%Ui}!7=AeksH3hoG;E#7#;u8{bgzN`x1`D72 z94zG0F*4dBY;C@>2F~ArS9-}9dOE%5y(!y0E-v%( zHa6j&Nzv{^po#k9jVGDO6a36g&$+K2ig0C@`4E;J5R6egR}V!;0o$XZ>crS-qtB49Yc>l-`BJ0}@oj;!}>T0sIL&kaKv1g?FO6zU4+WPF{h# z{3q`o35C29r;-Bn^iiYV$)#&bI(ag7Ri@gRpAjsy)i+Ji=YRP%K9^;R(5YB8mlkLYh-<*Cw6(Rlilv-RKP3B1e~i?y$~8M#Emuoh8?2wg9wlXzed_38WZ?dq`Y2MBXU_@` z?{RZ0ol0vTI1~%{DIqBMQ!x`sdv`bbu*^1z=kDFOmZ_5Bn-D}B{+$Ox!D}kU@g*fC zK7U@37jgrAHMkH={O+h*40wtqOp3T?*H^pKv0ea+ZQYfu84yq}d9*G!GdG7nPE1V9 z_1>C&4rl#mJsyy{FAi{nZ;-XMwd0QW!LT;q99-5=b@ zg!e9K55q$N0gOf4o>GUUsmwu$b>vWOFQjzyrprf4ab2fZR^tGhF;0LK*({?H?JS z5vRWbk0#-}GjO=pfKE=n?l@ARx>kQ!bouh-f6Y`9nS{$9X~H5-MN?Dr)bkK0N8Xl} zme2pg6QP^Z|edS3I{R^0Pu8-j0%D9c52Fhgi*&1(b08;?so2>tgd)PT)yeY z=;N8R@_;rYq>9`pU?%Pxlk%s!7|7{?wo3DOJ&519)&>~515o=MpEoE|juRu)=2D8Q zlW%-~#} zw}d-~lVbjx2hN53_p;;_TUz;YC(JRfJYu(QwbI>44r!+70ZQ*cov-K2^mLvs64u_) z@eu&&2j-!`Wmor(xVi6U(+D1jh|JG5ir0FUiNWTSGzn5B3SulgQuR?pa_sxqK5e8x zwbD!&^L3;nE(p_Q0YQv;r?mj8#|H@F$kM#rXjL(VG|+@~Pi5hq5oi0^U!RqglxzpK z80Zs(7WXwwl$A;Suaj-N{mIVaoZrjfP>$M^s$Av1*PE@PH{*W5HWMVc*PB?r6GJRm zy(Ay*a&2?(8OwV4z$Zl$trssCrCMZ66N4D(N%Fu3a)3hzaPcN3lB|R}FJ;1kwKl<=bSfI0Y?#c{!|v#9U6pvSV#~!T zSXM0<{27c~JLg$%9JluNH*z+cgY5-a;+e*uViul*?ZRhf>T8ww=Mp(&5(`q=8KrRF z+moVC(Z~F6w&(D3-;MNDU*9@{D9)-MZ#g51`j3aF)CR{(@2q%Qa&OeL+5egbAm!X2 z=kI1fIg?canIh|9Z#Qr?VE8w0?&(qnCxQKhG)Tkj+PS~v6q^5%*8Wp398ErFY6uqo zcdaMFmT1)m&&-RwJ0>yZYxg0}0$~f0MnYtb6(@(pqlkxFdIfINgl{e;3zBuaW!;3< zhPtA-a`y=28QQ0#q-RW34n3XqwzTaB?rwINyrFK=U~4(c7f6f&^42Mr2Hky;l#`8@ zszt;bGz%7fyMIwPMZ!!*9(w%_pqAG^=eBISOir}r4~1I`?|$HT0A~qR8w?Ihz39Ui z+N6m!F@0mcj6WMJp#UJ-1(5Wba%NSPYEHBXU$clsdMD>Dha4E7zNxJ@5sr>_^%Hy)6Z{fXu~wn*5- zck3DLd+UmtPut)XX^3OpxW^^(WA@=iMjz(Z4Vr%r5J%%LTiQ+JsLy=aDZd{5$N!f7 z#0|rmFg5(|&b55iLiJdkzdH*W4n?Vfv)Spm5{E8_6k|fFSW-yAx{|ZsfI%IbkLDXi z^@|2nK`fVopwSPw2uZEZcBumEICbUsSv;Q;A1$m93A;Y?*(SEf-*+uw@e8s_pIxK0 zl&BQpW<30-6%*V*twZ@Q3P|;3)Hh)~J7wFnGZUUm5GMWmUsw1yuXaDmb8k)?5NPLE zIB>*1fe&Qt60yTG?z#$AU(yFihAxp%G_r_Ry~wCm++V~13;z{+#%HO8#_rhx0o^Yl ziE7Zu4`6($9G*`^<_n zC!-rAaayIpvSG}(K9b71q?3%Tb&7qd6D$Wf82q=6c*4Y*z|7*1NpEj230i2ts{?)D z_~@csy)v-{5~Mz@yqJu1{)?^4YDeuol|tqx^V7lLY!AdtW_nJn{I^?a0$E!x%fX&} zC5G|&_~(2zusT=8)MyNBYxSu?S_u#0kzZ<8s!Dvj>O0$>@w+7X2zo@yRl&sP2u>wPA5^)=lOyrA&sgWn-juHTxmhvXj9wszXXaV2Jb$l z5I%LEaFCqY@4-zZYpmL}rFwFHQHxbrzVp+~cICqKy*+Hm1dqd4_|RR*Idv#~W$35; z;#J)Gx3^BaLBLyeWefX3!euY)D`+mxoD-J+t zUh&|4_;542tKa^JLu@-S#g0uEjy?`DSg6X6ndq$|sX0}s%eOy1FVNqw7W3b@I;qlv zSnp)vX*f`467z_~Gz+}|d`uEyBv5yzEycBx*OC*Xi$C8le-KmMo#L81O;2^ic&xNz+lm1x`X8o76 z`h|-W(f1CjDk@;a<6WA(T;$*DvB#HK2uBSKCcE2Kege)%emSlYo^172XdyNs}@MCF1pJ9eSx22j`y+ktOGh2D$@?(GSedFCZ-;^ zKSP6?@Rb0}Q(;GbeKe)P$t*ASG4{nZWfhe&|2-0>D?tDM{OOYj?$e2)*J!u~s2zIG zdx0jGW>srZbyXQITA_^$*vK=xx4I=>o#3-lNxd?0<=tkP+TOXH5CBG7JE~~ z^g7(T&4VI!l0w2kc}GglOZDS{$;G6i-rZ-o^LkC$3v?J`QI^olnJLv;zg_HUmD+bP z8f&kb&cJU5F&AIBSe(Ind=5G0EH&7!Zk1oL9d7nffbi>$I)E#Ki+xFV0a7>&+_djJ z-X&&4WA^P>ZRbtj#~l9i>e_WH4y)LOZiz>&rD1}(XUVU0y|l& zw6eb{V{5yfVty@V51#qCv>MiMCGOx^|G;5Gp!}+TN8A-{6iwjTMtDNRKZJvltR zIL_G3d+XM0#rT?wh@ktg;A*sqA)(|U&raJ0wyhf;Yp$bpg~M%tGD&c%D#(xKQJKT4 zxUyKebf-C$Qm7eRjR4Eosok|ltV#swS{2iQogg@_;be}tU~E0LFB83X(`031!A4f^ zxM^)%)5yq38ts^rb8?(3fIIjl)?8Jj{=wZ>l_hfNYud?4oiie$xV&7)`FN2{*VnAZ zY&5&TVbH))VKld;ewQW+eu6*fZupW>I2nrUtd-QJ<4DC{k=j%0u_rB*g{rA8V$adb z4S(ysdayrT(lop?VvUomII-hFcMtsLr?LAR&o43iK_30$s42INBFA&(O<-B zMoG=-t_8g>u_xqGfuaszWISqXlzW8km5~AVBfpo&rAKc(-B-b8Z8uVpVhNOFBfewj zbOVDaZP&0-KrrY>KxFIyA+P1ML>gYV7mPMMQWi`)L3h0Rm^Sck_yF1Imy@4ak|Jm~ zc{QSdw6J%ZsBngY86Fnhzh4llt}Lvo-HSRSCHq0bH2FdSQw83~U-{R9h3K z=>@LL3mW6q__eoMmt}l!+2lw&)Ml zm?NXteiw$@VFAsKyUC?$zUu$pk@a<}-jX#bZsHSG;A;$2PLE@~J&T?QM14&wXw_c0VeWq9pI#{`9p^ zto`oT#2?>0ci;G-j4$%KBqt>oE=qqC-i;z^U}GJXi6d%s{J9x2s4F_gOWH**pNo&5 zU;rLM@%6>1@-o*)E#8 zTSwIpHGvHsfk0=|r>wsGzT@}0-t&n_5td4$e5WF$fe;Z+$x~AW3IkS%d%B1i?!^9= z{^gtx+BGH?<&t*iCiIQQu!*q=Mcl+qa+dB|l|!5|`E^Hx*pj5g)@IsWe~9xB4Ym;y zw5?B4ZfIyTQVRnf%Ab3~Q{Hx+vL-|*LK0MwysJN899X!o^RnQtF}TKr3u6nXLmvG_Z5jP_5}Gf`ZNSm-l{^)vr=*5 zxY_;&wzR-M%mFtWsaaKX;${~6{V^s>W8ZF<@{t#KYq4`;X$?JEnr1bMv+ zgf=8GXP(j*XQVrP`E$XK@hjWwlv3xbg2)BW0)&<^$BV6UvhcBgqyO{|s7Y%RNd0Iv zI?ig&b~Jl?QQKc%q4oy1mTh%GsRY|%zvmQ!cx8gpp+x!`;KhU9_gBoB(&-&Cm4C^} zpNFN~&1*FP!9{Zx!$GCsbNMC}e6-{{;F5EqPABUkqlD&u{u!OA{fA_qbMnXPVM!uQ z0huiOExWvY!^8(Bzv)VHh1NR(P6@u=bbtGMH&I28Tms3lF^1sGDcdYt!*83^<|lCH z!x94A`STEqLRUfAVDh)f%8b7;j|k2HhCmeyNuYV=H9vD8eP# z3B86dy>fnYi5;>bWj&lDBHt*TL1aCaWoWmrl87tvCzn^8urQ+yLd!$o`z*_j1iRm**}z6sS%HB=K`XRD|9J$Xf?Qgn zS;lia-Nv;XzbP>m*>G9x_P^;qegmrB!F|?&WkZ!5w_~mkK8_<8^N5j;X zq7u~?noa7u-Y{K?tvq`U{MVP+286`XXyc6Fz)ri9<3#OXY|_#12J4#H?f_ML`tFbT zB~0~o{Ydb5jV$?fadTJ+(P52~`feeYp-=33IwnAsKRML9$33&jYWedMkLTfbE?1f0 zs_#9d8`d~s@Z1s*48eUAbP6Xt(A{wYV*IT*!R-xubY2Sv-X2+1Z|hLok#U;m?a!H% zekhCr>jZgna(fmRjMkr93A3LR@@Y4x*VzVihHijgO>%VT)_bwR zz$Nn?VkA#G)wkaey}C;+=it5sUA(bBU)2uEo$>H(SNEY*d*tQ-Mz_j;(}GIRYN-OS z4yS4)l=P`A?VhfdPSXxGT?@u?Z1WGp)k%eC$zNgpCt=h-J#h7lv%}WqnlIB@2-E5& zCDnrZt@l5Z(m<;1#8hFOF(a;knD{6!nV3Lg3#jk3@u>t*;C}&YJ#mLsIXMb$Cr5_y zDMQ><$Qk9OJQ?j&E$sLi6hA7}lu*Km*D7$l78Gv(jEf6vUrJ1KR@6Qbb>abOB>;VQ zfIYEi0S9~(xG#s1td^EQ7)!wA+xfa`JDgm;3?qditS{9xLgc~Z{iq^qFU zfCz{Zrz%I#`wF)XA52xLBER)<;JVw*4h-Vk-H3wHQ~D&%x>b94PHnKc)PRN8ZBcrw z-e;PP_{JX_H1Y$eqc>KzPaNALcLINDe_|UolWmP#tIZo;=w29Tn^Ly>{B>YJ2dP4u z1ZvZQ-p__R-iqng2~NAc&!jo%TxNP&7L90Iu|hCPfBffSj>`ir?s*m7Z+3XF>Pql1 zeT_>&E&wIc_DxP*8L&T4$K>A9#EdT;s-~b^=XGZ9sP1<~(Cd+>=l`>LJ@WcBwkT?o zHF)g)d#US9(ZMlc4T zEYLm!RrNhruhJ(xhs)}#C@H1Kyb1abbq2gIt`1KBLl3z3f2nByRZ;tY_jQw?YX9O* zAdkF$2R6a~eyf6~!?)LG502LY(Pzl1{ib${;59IybDWpf#jlLl8B)^Ur5M^L5mW_H z)YD;Yyv}E%nE_YlyX$;3estt_)=b?B2o3SPdUk;NjtX#sR89VAr5cvp`*Y^h{l>lI z)Ft<`qS>U1x}}IlIkr3;9C9CTsmAs%3;-da+<8K>YRn1HWnpXq`alW#r?<)FudKwu ze5OIE#XBIHpg?;O(8`fXLiP#9J_}rY`o+?Kj^N?u?mg`nVq-&t7}W+y4q;&!(BojB zai*?%b8CxB33T4z_qXOy^Gwi<)0p9D0mx!dxDA@KbmZkjPTQ8&0(NVXMBQ>GCnw86 z`xI_qU>0N zM~-G8gu%Gy{SCS8h1@h@FMlAs0bwxrErsM9iOt)IixAUk?-6J?BFuhqR*nU9^23J@ zuhP+Fle770kW*jR0M$fl$s!rs+uP3WtG|9dQ_=#TC@U*(pB%2?S&%4{W34l35FhYD zL8g8|9Ln&~nE&orEGKq^4^X##eOku^bRe$r)tUH@A2av%ynq_JkTdt5Gp$<>JqCm~ z7U$ltAy!?<&vy}^N-w>h3wjX_SmM9;^#0!;U*s)#bgE*|Y~oksq1 zG^~Z7>1zSVvWT^pBG(ZwZi9&q2?>eK0v$+)bud@g(t?75MOZZGa8hxb>!RAmQn3F5 zf%Z={W9SVfK$P_7X=Vb6WVu?Y2b_|KU&2MRh;I+uqq%S1l>PkqbG6@oY1Wb(;`Gj- zCC+ZB_(hUbV7X lds>(B-*<=q>sKJM{pd;f{G#hdHt=ysNnY(qk*w+Ke*?ko=z9PF diff --git a/notebooks/figures/05.01-classification-2.png b/notebooks/figures/05.01-classification-2.png index 21b790f921484406112f767fef5a93d4d85b0a44..052ae90c274d5d570bec08a7add5f36e14f43e0d 100644 GIT binary patch literal 23514 zcmd?R^;ebe7X^6fF6mAM1qn$(I;2EEMY>Z-DFF$|ONkhOB9el1gEWYgbV+wN2uQ=6 z`}wX}GxG<`FEcC@Vcq-kzRz=>bN1PLAHy{@?i1nD;Uf?TA{Au?Z3F^c27y2;!o`N4 z$j*+Jz!ywcIhDt_@bL=Q5((eqIVPX2a%8!~E5Lh)hsD;-%~_m}@BexMuhR<~K4F5Bb_9Y2p`sxB z_~n<)DK9s};UvD(ox8%lx4MH?WP`4&Ra}4gvSJVOm-?Czv9o*trm-i67l%yPh~Cjs z{qS0bNmgRUd+Pc6xodLb8A%&AGKwwaqXcLsUN-KhG*!HHAo`Y?aclThkC%VDJ6o0N zU#^djSI+dfx&PhFE_*^HJ~Mt+>2IJ(p@>FCMiv{2%w|HsKl+s|5Nz<#ZTA10FREmP zBau6PM>TJ)PChgHEVh%?{u_VJ&Yu(On!mGlur_!c?|(x5YR6|r-qm#<_e~VCOeT39 zjWimou=X$hD=FsslWwP<&&qQ~OneWYlvPyBSFL=NS5i_^ZCyU}-b-h`z@0hi@nnfu z+yA;;cQoC6dbpvbumAa7;nmcRA9e4&eZo6}f?;UrSWG8YM&T)_?#6{+?0OxQtauFG9b@2;z{;G$dV zwVv%X#IWCg(`b3eZ0=_W##dH+}f{qxi^%A6`rzeYSc^e-eRVt(?2?j3}f=f zg?kEWGSw_xT3nocjl-mAqcT1*QS2}wVp#u*RwR*#TPIJ(%j+(Jg%o%8sNqTywMv_t z_UcLE!fOc@#Wa_D%vWR)X|uymO+uy|+e&+-BA*(2VF?Qhi}{_4iHnQx{_W&TPfy3# zsXyb@*VmtQ6EA)?eCxx958oF=X$W_{>ul}q75x09>JPs0%`L=8x5E0Em5%Ms29czt zq|AOUTqrQAncaJtGP2>a+(rAtkayB^#+QqS2eVI9Uf0Md+M?}E)6P+PSs4ZVToj(} z4a42Q<}i|ly*B2j$$U~ZZkOj?4AOoKh$5#MDfO@SXz4{A8D8+{epe*gYmQ?={o=IU%#=t2R>DctcWr379Y;Nx*OXnSpulK^? zRcOqmu(rX?X7|oEOJ8mlw>clIYQ6e5W`hWTTTZX2pn52INKt=zShxU(14HU)t8ylk zE8^wyC!5`&M-Nj|Q_;dmnCrg@?94PU+w^>CvWSrkT}k$5vM!}HsC0b7oGju%hq}L4 z8wN9Sva)Cu_G5Qu_aA-{dwpFkZgyhkQsjnuLW;3Lg*~mY_u6#`TJx2jBt(ERN1(~Y z`qS^9bQO_F_?aKw#t0yY~EVC*ssv z@~iK^F|>t~zwr%G@y6bG5DoBBqD+mX2x{Y(Xd5GiZE?2^`lhD~{LVYxa~7Mo;MX3{ zNA|6`9k=lLy$%dSuigDgkRV`z?XfxPGF7-VR%)ZArS%$ht(KM+4CDIea_E7jAQI~VugAHXE6p+Otj}C1uc<$^+?XIFVRgtpo#zZG4=a*+%zup z<*rY*c6Mlpp+A4v*x4~kZF(V6xVX4v^z=TR9%>{@MN@L?G};QWiHcG~q>G+kbR|nO z!@WVOq2@DI;JDT_-x8TRxW@1G*OG#odf`_%`FdM?TwGdF5vg|_)39TQs>w4$ZwdQ9;}fnlEDRS9UK^Uk88d5hx{iXxCm+5oMBIk^z(7CgAf7p^X3p- za-^8*pM~%qWoal{SS+L@o9OByT^3qpDHJU&EmNwiz1w3rRYeWa*{jh$e*F0I;&5c{ z(3{-aAN@6gLnW|tNxRU>(z0=79}V$JY9^p@=xPCS7puxOzvE`+oDm8|+Fb$B=8ePo z%7%;En6jFMc!7w98Iqc*H%Stn^F!H>R=2jENZ%mEZL}A`XbjkE9ozCa?1kr#RaUrQ z;x(>C?)YDwtuK`Dq{9xsmO+&8kepta6kaCp?4QiOsKS2b1nVU!DH-%;*t+yOZ-}`f0&RuFZHXumZf2ND(DR_E{zIgEhaS(zY){KUL zxWsVmnVOnfPhJod;;TQNceuUnUS$aH2&#THJOhc+<=>{>z0=k7_V#ueF@{zWzuh1- z=0Ryg!^pw4Ul}UzcURM6Zrr0H!G}j^@9Dwj-#u$EzGz!;7VDduB2v^E+JMWq|NdP) zw^GMga9J6BRYOmRt&pyDD9|t?J-hF?D7?M1IaUfAuBfPpY%xEMxjH79^uM~`x_R@p zMpm&uqLpwH5*pkk#Lj4`P0VQ(aTo?fP0PQn2{PiaR4#mR z2?-Y{gd0pxd8p`jr4_X_A@{>B|J*o4M|k`Apo#;+S6E`t>VvINg!IMQ!^(qdh-y^r zfukG3q4JgkFP_&Zux;Tr#4|T{Gt?E*XeCI`kc0aTPQ4deqv4GH`YP$eqH+yY=OFoQ zOw;+*Fp4?LTvT2hFT@Pb?*L|ad5@{Atc-;!(rl!_2t%sZx->O6ccZ#NgP-PCu|->v z`-TpWei^P#?i1g-1=dno#M9+*K*Xq}03&NMgP<3S?Y+S(F(xjUO*hfuH} zv{V6nw0ZcI0CVeRY)eKH~5F|v5RqmHtkoj^8>vOizCHyaIPpgimJejBc zuYAuBvZNI`uDzbvYE4s&EbuYB+9kQ-pWTU(I_09`(M2F$?stpM?Vp&Ij%gYjzZn?N ze*EMKs+3%v_g)c3wgf_+m>hV}XL)BX_C8b78%BvDi#Ajk*Vf+4GpfUL=JT%+&NR8|jvbXi0M{`vaThQQtxc{{tC zalA(O2ne#D1K-s4TIrn{P5DiSbDoH~t-d|=f~?gF#dq&w$DjHAjR!yBiXRS6P+$+? zJL3ts;7@^3TPti)Vzi?&Y8y5 z=0ttMfES8n;r(`@I@><~&+Gnw9rgETc_Y&MGan=t*$v)61hg%v?AgK!u6mGDC~9d- zBKz|)GqG_TWWKn!X3Wzb$z@Nsmd9(r%^XRZs3g?vELcv|ZfW zmT%@I4WEm#87GakX@YFIbo2-Xq zIS;UyBV~UDhC5PJ@nkbGK~RxaHVq=VoIme{(4MSDD{CS~qs4JmtV2-iiH<=UO(RP> zdi)l?!J3Xn3f;QZ@zxUSMqT^Z4_P?PR3}6CCCjwFaZR#=GA1RD`Qia&+t&VIaHnJ%;Y!)`6yTj}9JSr;=Dq7Bq+MT zbHTzF%7qX~cMQI-pioJVK^hyX?q+~Pbl18r!NURHTTbhhM@OXOiiC4!cbM|#=`+t( z8^Y<7M+pAAkyr}~7O)qwp&ypU&MN9m+>JPK6C|dSbSCB=R-W#*3FeDUEVr#pv%E3d zZj#_k?59NhW6G#?qBFcR&D5GFuw=Uz=GX$)Ih+R2<2zUlc49nAsxNp@3ZQDk6;E$i1ElPBa zykd%!4U0fu*@DQ4Mu$|CR<=OWhCQ`~jcEEVWNyKl)*p_>h01BEa4w-?+kJU2n~9ig zDn&iltk2vDD`3!`rhkvLf3+F$;TJSO?hN-{lEV2_(9qDx36qDi?)`>QPA=PXhL|@@ zD@L6Fmh2Dggw}X5?V;|S>jd6f0hhlucJ6oC-Qc%W1lmAv~!BmWgKc;mMa&63Gada>%awj@x|3FS<;6MYdj}rNl zK8h`<#t(`7&WxQRkXa`hMY2A@${kTX>Do{Kv&^1;IjU26YgRjhom9spG8YdWRVKL5 z;u~8@^|W^TtB8MDS~U`xXj2S%9;9_MYfQ~*uj=DG`b=~#z{!^O`lStx{Jl$l^B{G1 z<&r@082{k=LgMPZ#qy%b? z3ABEvcCm5cg{0?(mCnDWxOi7R&$a47Z4+0ICpL>w`4CqJevkKgLYza`)Q8h6dw8n+ zwq$;d6sJ5+{p$DFEQ+wXC&UVcpXH)D@ITkeM)ek@w12!O*3z)uwj$m)UdYnGO{19K z7W1U#uCqZ|4WXKX1wmv=8&`ZwfXXKw3bAfN>B{~UBeeFQAw4vi_o8Bf>9mGix6F`c zKdDuXNoOdd*zPF{_^NLcJdwBC#7|kunL?JJD_CJAf7z-1*BFje!oy}s^D{3AY7g@63+EP&$*vo9Vsg= zE93I!_S#50KRq^)3;L-(KA~077<-Bn=e%YNCwX`Wvg1w{Hlxj*a9ag9|A&ue`I{Vv zQaKsuiv~3)PBr403v@8@>q+5IruGyBqkXYmleKt?cpl-J`tVxd@|#{6$bOpYIv9z@ z6mPAB(}YH14>ok8#VN$Qe@v3APO5O>b9FO%bDC9jBd3+kSJ6+c+YFaCBwl1diONd$ zOl2p1jX?9(YV1Pi%(R;LK^~1%!i;Z3o|0jrVMN2$ukWu*gW?bZDL7D4Y3M?~~R-5>0 z7XU+3UE#KiF4)M`TS|4vmPaL|;T^cG9J)l+8J(JyY7e>)naD&e^vyJGlsDPQNY#6ONOpbh7?ka|9b*uofS&zWOT(B9D55NoPu933YEV zM{_m*)WN7T8>*iRB<#0twwKWsda*e8$5#i@eL5PI`?qzeydY z4&_1*(dcxiyhV})30kP^h>i3k_NKxh9{RG8J4Ki@L-Ta21|)V;EVKx8^^Owro*z+U zpKiXR3=z~;u!}%LYTuyw=$ttm)>|h#`&%Qo#1N;8?%pF+(o<`1)fbz)VHSNG!3I(j z4|FItpKtzBbRrEv$RaGi5q!idkd4f_A1KRd?x4b?QStA9QG$)Ty@XDnv@!gPpKl!7 zyC}wT2jnlnjP=YZg{@+-ahOf`Q8}Q^%apLfpAVKI*U@<3c$mH@}Rv!v` z-s_(XDv+Uwyg~ACl`SnctGkBq+vHrNad2VI%G;0iJ&nmm>wku#Gl!{vhQ~3Xa^Sjx zdS^u{2dCGAzQcExSSS?16z5(0jq@AYs<+`fF_HIXC>QSTF?*5K^t6c?<7-^~3p2wy zH52XA)&(M^SeHcfTV&s;B2(;sbwmWJNv3AR+(htt;G{;q6RZrKsCr}kYP9dQh(D&5 zima2u&+uiY&AcN*FRqPp!wq#l6E2UzUP*1jpeL#(sgQzXsq30#<>T|Xehf*96E|N^ zGiXC7uxn`XFRCp6O@8`(Kwn+Qc{NScEKW%q;l%H)#@U;AF#neI&TvTIh=ppLL*LtU zM7!torLnC3aTR--lp%ULSr$2#*aPo_;P<_9fHdr$+S5g;icL=j^+LI!#2OPJ$4?46 z>JNv^?|xvOc6KUp@5rVv9ANf;aI|RX-Ivtfb2=jYBG^hHp9pjB77g z9lvx2p8i`5n~MkxkQ-Uu=ul7)wK-@Y$|w`cZU0zC9i>6apW7$=7lTeI^?R`NSGyKi z5=iIo(92Gn#l|Nk7w?RistJrdpMEKtr!*CyM*)d>#PQdG0BHcGY~#Squ>_+JXjytB zgCE%?bksXr7xNagre<>N6UoLzEPnQ8YLIHq-f4EA{o3sOzf7Z@)^62wj_1fwJ(NGa zdYBfl?n28&V{UE9BMx|5;T^fPdFXFZNb3E!dqfh5#3zm7VxWi{9$=?J?&&FGoiU>m z6ug@J4iaV3Ec?o)uhK$M^48gyHxvbYwU{C9}dRLiQ?L@>^ZmcTa zQopXr1SbWHr>1>H?1m@FuZD%|G#ZEU3>wzjr9Xru&$%i#GnX3MS2zC%q}4OR_G|WZ<)YiZ&96sxS2I)+LS_ER#|^P9kIGfH1n@e zMPa;^&6bTWrJ#R4 zZ?GIIuy_S{V>zhhQQz0el(*PTmpdU~|A#(ZqC$kSqP-}&BTAbQUEVr&zV?AM@$ zAR5)-<(5%+=Q6v`oA>4G`|2j6X4@~RbZT%EQMGY@m6tay?0q-0ny&S-b#iJ0hL4mGn~V^<*s|jqD2lT?SC>0xcRraG>uPFi2bMn{ zNvo=|(D8fne|iCEjSHU=aU+}z4 zTtG{Lnz(!N3KS~MW>ps#0Sd(?P^yNDm7W>=T`s+;($6^R)Yu74)AFI|2fPdbWDI(jHJFv3X>9n+ln z{kq;; z++<1$veeA!pGxQL$-5vK>n6SaB<8{f;seMIL(lc}^bi4seuugIbkU?O(hZ+Jf$Y89 zn=Ear4)WsC(h{BpW3B{a+Z}9{fsAcaiWPAmvNs*=#fkj=4zGym)GsfGk>uYzN37f+gK4S51KC=zW;Be$l)|*|FkgmQ7)mYF$ zO335T!GI~=OiAx6`5!Hjr0-l2bgFLRjE20_baZrm!^0t_{J45?#UP`85pzKgBWBdb z=ry@qGLeIziElXnMrWFnn>*)G1G*I&LL=*u5pmAcsH*QBU*}3CgY~VB|qFMPH=2O9&lr$zV#TM@k@}JKW*@vH7SS^3whzVX%)14 zn(K>HejJP@P`GX{Js5%H$UU?={Az5tN@xn`bhFaSCKUotfem7>Xv`iIxhI~SSV6Kp zAVPL`ccau5Z-w++VK!k*Zz_vUK za1mnw8Smv@3pIIb>5HY`!OvkADi3`!4*-gNeo@gK&reQ1LLUnxNuzIKZxwm~o+Edw zl`ecQr$b?>AKgb}Aup@ybf3?io#8#s0rfjHh3i;heBQ-w&pdvvZ~?vb4#a%WBl^b1 zvUzV)Qd6_jMWZAHB`yj%_yoIwb@%6xUdP@We%-WR(pC&}3Qa0Wt6qZqVx-oOWOGEf`&be{v#av&iJW8V^@S_G5 z+o;B44rKpz`|kZ-X%dr(>t)H}xJmuE{ibq%4sNa9QP-rv!p_Bbe`A@IkB=HrWMcQbwxCOK-M;4|@g!oYCuG|CzQjt>hc%uq1Q#>?!E2jc64 zr)oSG{w{T{+jr(X$?Y2)3N>@-XUbB9<-&Q zYITeju=mu1>R+(ACPJ*+n@LyA4FjslYQ-AFBcy1@%H}n<`PrtR^}HxhkHM!<>EccEBtP6`vOAw1Bh$4{P!2W{9sn03ljX;3x z_}2OMw7)eEIVKt}0l`tYBQ^#p84;tD=+dSq1e=Q%egirVS&g36VRT2q7ZOhR`2?9 zSI|togKlO|MwzXe68suL(B1<{%o-sRJBYqOBT>q2Jo&s>w+|c@fZ)nIrp{0HQ3fda zFyd@M{@ka9p&*^c_#Lo=5d%&W$`jTZcUxXw9z!mb6krw%vbWB`yXPLF1UFg)m|1z*kQ0aj&0}3DL z-Rt&hVCOjZla{(TcqBa3^;MGo`t|ECmp(r2o0uR#z=>+1Za7x_a?k5pet!P?z`HcA zqKT~pDc@>3Q>f9VcRr!~RGdSVpv#Jw*;iFnJ(DCN>(^~YD7bxO2gWH|;^k7*b*#OD z@HPYQS)mQB#gfTgS0y&G;|srX;>?s3L>gDlM6P@)=?#r9NI-9MD6h`v#6&Xu5b$R0 ziTdx0ig|3(^nAIS9{Ta-qfD8sK~{Elc_X>sy}jT(d-=D66Gx~H;~gKXm5og=(E81ewx^y2=mFjYv;#>2-Ug41O>xv3pAywtpDu_p`Y1+HU61kv zfPgnLe_?|}+B!pmqutB&1aJeM6>zK_9v;G4ua}qP+}#!Vs(AFx^=+D2dn|wJ?P>zD zWa@4lPdOX@)E28Yu-fs1@jysawAu1bHqkb0@ieWV_4m#P2>$1Pc)C6dbDODy$4B)? zT;3id8QGLEp^VTnKvDRFC;>Afcn{bp@L8{gn{H25iFs}_pfEbsQGr1vF#s);2Z1$$ z4dMr2N*H8UR2k{Fr2s7DSV?~)3HOl_)#MEVg&;ifbUg3(l-QAsgWIQ0MfC2+awo|# zv_IgGUu&gK?qFq0>*sbr*93dWw9k&@@hd6yL=hs-NtZDF&fPx-PIIYYOsadh*^hqluCBv9b!lA0T-(vi1|a8u4i+G)kXT#a z6-3bowbfMi*eh*gf4SbX{JdI~A=X z2$6ec5)V(BQ+fv=Zi1wb2pG*?6HxQAz~)g!&Vl2z4a_uq9h}METk60F22RHNVhqsD z$XZ)x>JOGcZads%hF> zylOJ}yj&mZa-n052wgPP^j2UYP*xw|%~yxHCW?<9k%O%-jh8y#uq^f9n%*SO=}*oMJi_&Z;pjJP#`r(2gpl>qq;ui_oGTJ1 zV7^N7KTIyXygKfAlCPXNI15KG5)66Z*|KXqTwbLz3%^gY^d@MtTE8O zK&9@Vnu-SZDm2CG>(7QpMo>1{b&?H;7_20Xu;i=r6+{Y?WRdfnT;#YXdD76}P@$WJlSmp{f2c%|sy+k0w*yXEixK6ydp{HS<( z1k#o#*6O5MzH8Y3P46!fD)ULlqm-Ea=q+IItFggG4R#(}&nb86E^9&b*8!*U^wQDZ zTjS;HZWgs7)=R%X;>Sf2Wo zQLa$6Gu|d$*&Rw{1)=f7on^m#()XJ?O6e|rq=G{O?>aK_8B+k8e48SCJG0Z4e0jhL z#RD){GbqHi&z}AKa@SQ`QizRB&cvvzJ2(LlNs@->;=6Z)YYb&Np-bpPCgWHsGgp^K zD4Vj>=_)(IcjXrNb{bIj_v&a4m1^sYPE%GTtq&P<*DtRiDuP14Y&h7ey4|)rdQX9i ziE=5yO3}!eye^8%NSkysQU_MXxRCjU%1w55i@r?Hyhzr3)m#L{ z)%Cxl7BQ)Hb&N75M1A=}!SHCt7m3qTtMA^i;L7vf1V=TY+Mom*>eU>$=%|zf-cq(T zyIBQ=kr(U_b_)E|-*Jf4vD1N`k3d7Yk(}3uZhrXq(Z%<(a=K&2+SIUri~<|~C-tCE z8hD*5i5+zS_~F8oIncEzaO~sH|5Y|5{nR4skFFlh^u!J_YZv?gr89Aw%uaV4iv^o8 zt=~#4ar!R98`+xUk{|KN(03ka-;0X{)(!zTzS&hq4%{!v^c?YF$w=dp4^04EBP&k` zZ|`?jshQygBXs!biY`wmAlg&_4kjnRpK6QUN*j7av6Lxs)JhV>uzvh{a?%j)Elq%Z z3%w6m4V?43ni~3@hAY1aC3!cWLnm*~^ocy2=iby;HL(0TIywWS&6%FCIRm^1qwY1g zwEX$M#*!b>LPd#S#(Aj zo=jT|a~rJMEKD6F&YUaNF@-BYQqdN><52Z6(-X?oI0>YU+=;w1=~mRuxCsv2KtwZ3 zGl7v2jHOU*9v4C~qmrFT`R~{5CGm9rZ(pIhvpH;w(bCd_jkA&b;l0@P)F}KCo|yx) zwD!3B0e+Laqx#_C`>6?#(OOPgD>w z#o)Z-kkz7~Aq*ApQqsN3^c1Bt|2fAWrL>U3+6vPY5PZY}5Xo$GNkAN(`!$@_)WZ%V zoOfqs52g66ep3LbCU>eoxdC()U|@(U)QAJhsQx`a|B3(1LjWMqEAhsw`C8;sLR?lj zPDSwf?M05l)It5f^1`{*{&eWx)yG~IWWkoY3wYQ0wa*(vsIbvV6!=*{=V?}~yE|r+ zoZWCHC@3gk)5BmtQ_mP39sO(~8s%t*hP#zSTG!!4-Y?Oz?Ziq1DK3T@l9PiEe!$0t7%~qY5P{xst<`NM$@7L`Bo3=8 z?-u&o|B4LC9t+-i9O&I_g}euQN1zwk@!jzmvGz_>W7Lm~%bVU>jwE97Xf7$?B7nE2gy2q zq)4RpO}glxBZJW~mvc9dYidl1D&(mY+1UMT4<|1Q_gzRchBJjAlM3Ua4#dM-~zkgn#3zzq*pqu`}ONszw4# zu`vKr0^kxjYBP;HdwP_fJfW;`m!4B~FMJ{~)P_FoYFNnv~a@_i~~ z%4uY$x}?}9xDhMp0r+_al^R=@j(0vG5Zq4-e*ON)jT6;jFT&}|zWJgm^lT|bfCVxZ z%6blmf34`z?sB#b#=h{L%5+pGO9%#8XnGWT7GVFMz_AczS|?Q^S$&o^vkW_ zE$~*Er!v?;LqLzpe(+3FT&)Jd z5y94F?V1xNt3WsGy(sVY;WU-sqe(qfzN^6Sw-#*Bk+bU;Mxdz_}KH3FCb z1Bw8~q4M-fH4O|Rp-s%Ld0)R9!pA}vog-o0Z7mqbqZfFxzw+PoLiv|3^>kk#_oLBE zqsDSNJ7JI{mOl>mP;^e;%*<@Sh2EYQ>5Z|dJKsvF81$OX=f^HE zJ^~(olp7t6S3~LwN<;*Nj)?&9(=4FQrury(XB_<|h4N_vOT;e26(*K&Zo$dDi%6e^ zn)i?@t-BIlS5#D>!Oc_g$UqqT{VPq*u1P@oxP7*(aBzqjP%#D|4*FXJs1Ftc87dgn zHK=)-g8?;|xWHI9-)^|N3@(Pbw5i2h!Ll@o?Vn>;7w;EI@MZdc9yb4VS4kWwz!j&9 zHV3?p>N^pp>qFVVsINVEy7~MYO%&2G=3)Jj*!aWECs(`#;tKB8%HkLlkp%n9r`(HO z#;;*kC3_+_GBQ#NbdnJhe?~a4CDT)-$%-^eIL2e-IN3)n9rZ9U!li{)8V1uV>e-+|K*DR{N>qB z8*0`C#=i3O-M2h-0so|NMd(wL^KB1r9E!Qj2a9vRPfUyi+juQZ5{NnRg!-#eVcrcb zA@Em7tfASW9ZY%8*2gW7fS)D*jswN}N&dQX=MLh)9a=;)xQtP$^@E=Y&^f;U)ATFZ zh9|LpPUT0|)3mvUOX~C6)TVq1QFfmGlzLXKk0gau1)*Dn9)u7uHRLA9-?!#mZYMd( zDTL2YO&)qn!rnl%lj356x?~2O7)XRe{u2Z%{Etm2`x<|5G)P*LVqP5$_stg;&&2`$oz<=%w#`$T=39i?4D(O zx7r~;SNFH>YonJJXD(29-Q3-?HzqG&e$Q3(uvY&QJ_j8E$U>0*X$T?xYsD}D{R_>b zn9sjF?*rgYeu3XU3>v9gaMi4tX&%cz z0KYt@?2oynjDVGE#8>`&|AhAk=~>jS-6%L_`_1e}mi9Gi&dzP{w=W;?4U_&CBmQ$= zA!;3ZvpzCoro|34{1{o;Ct97Hn4FA)VZ$6XHJ~AI03KX!&0G?}1Y)c*=KgYbbG7@% z?!O5qNUphI=rbVQK;Hn97h0a2lvGq8on)ulWo($s895-2Ym1htWSuIaS4VDC>!ISt z2vI#%_BTkzEj_LOdv!31zIgmNScWA98(Iw{OfR6=kHWftbU>rQfx{;t*lTBxF@+H; z_$AuSzcEPe1yodsfLicfO${($K)3ayNS_Bc1`}>?U#H_PdoiPyNXNof?XpLnAJoJG zD9x5>g zVzDG&Ujx9WIM89F7%vypY^%~dgteEe$#HB;MjzO4V7A!rp-c{enVVpmR2z1?+M zVQ2(o7@wo6-hMXKcJkXqM&Hp@*u(GM@^$br*|#x!#m;n zM1HfMyA8NEQ@HS}*JIMw(r4JIc3CT52;fuah4t8~9`+$^6N<4{>B>r|R4Ze8R~})g zi!mqx1%=|QfuqP36jY1jdEH{(gd&MxA7S7S9^CwJeHaB9VISet!Kf~3I22A(T6(%X z5kG1ohbscKEsN?kqgyv40@O z62kx{)K)0xPYY&{EQ*-&YcL_=-(yrmO_u;dB{&=p#v|YDlP58QDI{A*N62JqYHDZ* z7|HqH+#X0vaFn3i{;ogC9l?f}<-45cyVfe?GOwWiMND9>S|f{onwmY@XuO6p{^*KK zd$HHXLuC$;VM`O{e~M1!yAnF#DB z*7cFy?F~GfICO+1p3&ibvh`;{W8IJ1!Uw>s7p-5yliN}ULvE<4Bl}3eG_VZ-;({_W zZ-9FNrn_EkJvV92O7@F@28d)d=>q^zQy=$QkxUqZ0|x-;;?K&_5jus&(Zjh+9=F>G^Z-cs2;qTN5BeGU%y95{n(D#8K@B zOwI+3*@wbszb$6p)5*k7pR#)zVUPg`|sjhbes}{|Ao2K|!}$2D0{_CY!YIFieI z`?gUv1@Jo1DrHt%*zL`?z=ZjAkL}5DXwu<~!KgGOlqS$zQ&MD%0L7`Jq}cksXeSP# zI-kYZ`w&-Fzdr;&=fP#tg9i7q!C3x6B9Y}jyQU?cp5U^@pOH%(9zFlz=~fspk1;8ywX2=@ZeRivObMf+qrg1?rg2BXfcbM}7(5ajB5tw7g$sYn{>Zsv!P-@8wfRX8E z;MTbMXX5O4mWZ)#2RNiHPYIM; z*cTR{AYl?5#%a4h3*&JbaT>^d<~NfYU=jdYs`*l1b6wHL$Jud${%!gk+6bkd+^?DF zn1(ZcOxXao78a!ZrtTvOE^YgS`-!%{$M5qy_DkB{JwVIQM11--?EHX-F}5(j{Z7y2 zPBI5kh&D&CV4{B)LP02sCO}&z&I;}V6enojzDWBUCpox?C&3!G-e>j=?u_SSKe(#& z+}YC__PlJHS?RL0zJnM1mL3gV1f+lZyKs@C)$KrsY!|Dp7XLXM!W;`aUr;wyE~SuVLkk2-8w8&avUbqYmJh_u=qU1Gx^E^IbeTD+g9N&LYbsQcAK) zR9Lv&>ctKqbMp%3-Ls48<Ut)Ak%cHB9BbGy4H$^QmImhInXWTZcx*CuvejX}2FP=Nlph7asX_EUEVLZGQM%O%N~oq{1qxlu>4c6;YlJ z@;L~9gV4Cb0-%6T-1KKKaXbeThkl)RIZx+1sBFf@UqeZld6Rpy{4P$*F=;9%@&N)) z0aUiR?airDIr&1Z%N>j&bgr9SJBSXJ=L*?9p0~Z4-BdzZn}w{ZC2xK9Dpl&L%YBZo zZtj?Da+msn*6<%s^T4-j8d^=Xb=pMtNxpkeU{~FfT8d82{7^Q%$4kBHGK!zhn64B( z0J4>k+p4D5J*MG5e_9De(KI|}^Qp@Zvy;C_#*VnDI1qYO)nE2<4kZ>6xd-Xl3laf=rae1|+zc0&AMx-^DmPIWSG6|dCQbs>Ji1sg> z|5WUxh@SL1pPxlVRZVTMh1z8D@737Y7+xN>vQ$u}QPxnGp~KbSf_RmG&1Ci(9lv|r zzkI!08-h-vw3%v`ldsn$YJ->XIZjH?HcFE7`|3x&4#yrAwmWBiHywAU6Y_mCDb-NH z>!+t$ zTDr^{wLNe}V$vP{W;BWNQoJk!tAX1ZhCkBvi8FfE`F1}BW{TRPp^%~=b$xoe!Jk{Y zPxGg-nuk3tZ%RrhKYG+1>&naMygpkXrh{>C50j;_DJ?bSCz1Q#gLU@7t+j*wntR5F z$wH-ry&ITcjeV^Ye>zkiS+g6>%7IH9Cjyi1@#Wclcju{yhaM)**}K0B?S@9SH{P)< za_Dg6t;hV~p47~WnveW2?c^NRv#^zvo!3wP#OTtvi%yl-DJP<^s$B3l7DFTgQ!L6s z&wC|x!fkz4LvK#AbFZ#YD*crGOlWP#|NW2o>M9H7+I;D&b^nfvw34mm7M9XBb?r4z zruP#gwJdg9UtetL?|snF*?cQq(-2`Z^=CPvm%RQEd3okPlcMRHl-8uA@~(5^>AwV( zTeat>Kc=Yr$jJf_VR!${P2@lT4-OG(Mf0d?^otM5$YR#mPi@>eZAQeSBA0ZY^f!` zXRP?AEThlW0|(<{cE(p{*E^(q`kQTwRD5(K^Ix0P>eLa0w!NBJ+OzA6x=Sa-?!hO8 zU~C)s8PJ@tO_3cvjnOQ`SjRsXB38U`A#x;9%4Wv+%EwFn_-<+4d_Hwe$vs4}ECQV& z^C}~E>F@Elt?*FcLBx+ggO6UGm6a;5SH&5Yrr{^u>#xE>6XQhP=cndY?xT4%3%R$Q zi8)PAyW*v7WCCw(Oh*({S2fcoRM+}hMSmLVphOd+KCMOz6CjlTb|jTqmwWYn>Z)9~ zshaMa^~&?nO{Z)K^Kjn6iQhGrp{Eb4^}|LAwS`89UiIE@d} zTZM9;-&Xh8e{<38S2e$On8>+YmE7`i2$$o0ZmGyFUYunZp`?FN`)OXw`^x;m`SyZp zC*$a+%Dx=(8mYc&|C8#pInz$-^31l}vf8H8frnomyq+-kEPt4h^bSC9d>of#w(BH6 z%1wRIKp3xuVqp}z0V z3n~{@9Twwtf3G}G4s)+cWOw+^Q-2=1!||lB%Xum^n!(7&I|OM*a%cbB67l1;x~m)U zBYc&753D2Z^A?({orF{$yq5kYd@jTw`F~V%<^NEx?f*kb^`MOtLMkd8OO`}gO3GML zm>G;EiOAM6BTWrTQDd2m5W-|PLRrHwl^jdiw;025oUt$2L&I}9-(S8zJb%FR%FP7g0L@{uS9x)v z{avkk%)CGAhsJgMo)lcT6t;FQI8r~=v^~Ac@r#c)|LZ5nR%v%D($9$N#k2doSlR?P zit0AXWWhxDG&ifU#KNv%Tp*9}vbCD|+AcG#ad(c9f5DdR35{#SrU>|1p(J?+!eacqhF20A?aJGk^|{ zPW4i#42V=(U)?f(`r*0E*9S*`XKWh~%47&_mkELg?Ef`;Mgx6tMSZJShMk<0+4^8q zgLqHz-MP=Rb z-%w8P+(f{$xQm>*jPW-9^{lYZR}$|?;uRq#>_BF@e?CW7|oqiJ0tajmYDBNMSQBH6~rEtF9}my*=Zf2R&I`@oVeG;ph-s zca4{tPUS~Q0Zx4rpI7cS%t#qrMX1JPJ^Ldg?9|BlX|4Pj!+3H0c#C)0L;tvG;WCo{ z%Ie>*mlxSp>Vjp%82EP0ujfVanRgw(%<3vQR6;M!rFiJ*KiIC1lxwiaO%mQh@Kq7m*%vJVn!^U3tb* zrbW71#l`U4I7}!k<3;C_^eLe;W2BA;E!#V% z{f5kQl^pzR)rDK8MVO(^=qZo4+G)%Ft7d#2Il_YK@@-bi3KA9oE{a?RDSPc5Lc-Tp zgYMktQfJ4^LkI6D)C`y$8D=MbYzVa8Dvhu)>?*G*@0T|(9?@Q1PqSwhAg+Jo!Gif z+MVxaj#Zg^c*-EHpw<-g2W`)d;tG;~k1sCa^uq>11mAD_-V7@z#B1Wbo{lYLc@LC$ z9}p!9O3~w|;*97TKj<#mprV*14J&z>yzJ_c5!KV$^Cwb%<*Zj|X^}!BC2ec2Dh$|&K#u?NW zudpwZa>pr?mg*8W=hcwji@SCQrWMZD7?QUoT#LXB(&YPX^G;}T^#M{+U#j`is}@@J zPCXn$p<|hu5Kl4cDK8fU1d~o+4f46ceN{z%1D~}P70T@H?{gg;jVV@KcK^UuwU?9U zHaX``pBk{T%vLo2l^WqQAXCkW5yAk2~P^vP({&`f@#654*YWGsQPVwC~&5q#mXJ9LI5*#dgoH+;Xn$U(H;B zxU0k>8z)bqOCE4$M6?O#hN@PYXRG*VtRpb_+Euz*be}VwHxneo>sY51nnVb?)#}lX z#HVv6`EJXFB0iNgBWKdxpISj8JG1^`#(I3|tKfY7Hbu91B=uZNAE92FearMBM1+B* z-Ro0NPg}gCkA7~sGNM5az811owjQ6J<@%s`pmfKmCzv1V#*eVFhKj!nhIcR2rx0P@ z0mh1N+-o{8efz#`vWg-~RYtAeVV=KyOYlcTMzUHReP_9uaBXBw`-At>lut(iuIKs7 z#+Fw6a5A@2;pS|va_iN}iS-f}xf_!mTdnx;KAZj2s|YMg>YgQqm>c2cc68_eeP>Zl zDz%r5YwlgD=FEotqM0<*@eI?`%1uvO^p}P6+{V_J3`QT*}~!OH$w81UvI@ zUZ6CL@E}UhyjZ;}ZBf0&4AT-B7P&52?ee~9KdU%{KaQ54p`jr%AWC&j9CNpk&`{wW z>c_?1UWn|Z0|3lji)HGJRC((khTaj$-vs%J?yf{BR`e!=nHNu_4;-b@tzj?YHt|=; zVi#q^qng>DN~iRj;88{@FoB4qZ^5-pfx^WA6Bfn_&6)Vi?#f%|gH@^F8^lroIKJwK zr+Vo0+!?nPmwEN2uC;ykQhT3BNhA6pWtG_{Dms$uIkPqI|&6|`}kT?DFEaqn+}{KYU!)c|PX6>*p? ze$qj(9kt5!{OVoVS|ai`H^S$vk@zjmq~}))aJ~K5by{DjGJ0uL`AcP9|CW&Kg(Sx>-14b0 zcq3sQ$G&1R7F_;JbRqOBaJevrHubr zMU&M#b7tP{XsB`{3sf87ZEo*Bb-SpsyGa&j))_KnYkuzqwF_rC6JWd;y+)v4%Vdbz zG)SE6j|}ktA;)`J0l*dwSVSYLv5DBhZF{}C$(co5J%2e=!DpwkhuL!@0v-DU7}iM+ zaXa#qs@nJkB1LwT_PV}OauKFHziY_8NMwF8p3ywj>LQI&fe?_5_F>T|8w(#Gh+Nv~1UxHUI3ePe%Y?G{E$5Orl_uu;U)rv~rsO3V&a}^y6;Pz%)#NpHG4p zV6AX8e{_7Oa)gL%(y>ZPh7QB(n6D2S_HFmu)Br~lo_Hy6H@sX_1?JtWGz1wkSV5Z?d7cIXnGr#=fd36KIpO#@)wQ+aP2Fmv3s49Xy`xjupO=CwSLco{)@3*yyqr6n0B;!DQD1!ou2X;wj zw+wY~Xmm7C*n90SP-^c^6VD9g)v8SsS*1Sa_#L;MfKobE{_Hx&)|L)ZQ`zz`sqh;T z2hWWBa}iuS^76*F-J&1>lHlFF*>*!Ix1U#2LXCVup8j0vP3@3aEq`;_#B5lFRP%=k ztwAw0{(r&>m=^N!Hn^t$*nZ!+kHk06{wng<{)5lZv*mNQqX!jswF|@Vf~xQQdWs zN6;_=s7-nH&1EC1I%vH`goQ_oyB#bEgklhxr$L26ISmaoNSeFgbW;WeWn{ykoFyH! zWjb?pN8(jo$dJ00o0C^=>|KfjJp|^sFm+(28&V{IFv%|*pJ>md$keNZ{nQmjP?XJ4 zZJt$vSkt7G?VA94E4Xhe92zzz>ENJzptJ>!?hP7tjt)RBHHY*2*JfQRK;Xps4 zJ9o?IFf5FABjg}1f{3Y9K+Ev(9>@~P#^yWNmfcC0S5R;f4F<(h(^_A!lUqmD6>1uA zE5QDnn(J|kWa>-2(layf^@k&)vzs^S1S&E*F_F~u9#She&2CeI4*R0&U3z`v_srTm z;wt9PAC8RK@U37g&ii|^HV3)Mb>KfqBDZ)Qg7{n9g9XG=Kz~&9ZI)HiB*VJYk^)1U@LkOXu^>U48s- Dh^7`; literal 20613 zcmdSBby!qi^gcRt$I#La2q+*SB^^VFlpx(8ASu#~Wxv^6Hr2@WM1hfd6BCkkfXAKyZj2{vrLH^SOaQ=ppiO33a#R-8ok`_45>t zyYocRECU%dtjFrHgp%}iTa8l`-zXw*lx$3ylgg63KOXEiCjB~}nqA%Bzugl|ntWXP zxkjj})sGAP^+C=#Q-%z5TmQSqzyX1FfXs#*<`7ALgW=#x*Jj`F%Y~Pe{SBugX$R-5 za&e5G5C{YdBF}3M0t1J=>BC!QdOHLT4v7#X@F~I{AB7MKg`&}*(}NGO1#!i}XCzJ( zeh-&!azemoszb*AU%N09X>@WDF=60|=X=>}XclcdTLUd_Jfjp86x`oRpz}U~4kW)E z*${pA?w#9lKR@Zrae?9OcIv&V3R z?fHV{%~YDGH)ZqPX>qB`p3X1*dNTW_OQw16bN$%{_v24d3UKd{i#jCuCz-6_^r9ks zMMXtmEC^(B&qZBbU7Qe=uG;RyOW!+TY#bae+i4y{{%VQau1BM^AW_-PRq;;BdC9J%Mqat?(@-B_)zUHmc@K$YB{Z zidFB(R)6-!H1ZG8LWo=V#RTY_TwVkxAECyWl_wP_* zRTY&FhI>weDU+q97=LvIW=GrILxJjnpnT&-nEV z7u+I9DK}uwu4}f|vDEdz04^<^QCCN)luH~=&LLxEWtG;&!NJirUa0#R6PbvZ__2K4 zFYge1nl>=L^f4>rQZ4Z6u+oWFQB?&K6{YR{%H9r6R@Klz2SfPrgON?E1R|J%U)+2r zcyx56qOKko6@}lI{F0cIlr-6q)}`T zDHVc$daWU^{9s-%tGyh}5xmyp^gKKyhQ7DFkVP=fZYRUChkq3~mOK}(Y4NEA7VG-o zsHp`or@A3qkN^4vEYP3C&-LyP$uI44bkoj=*7-(HPm#MQ8lgoe!NVzwG~-r(G`GvO zZ(Lp%A3A1q)pA}-xVZ2!DSi)hKVC%>|+-#J&Zu^_3J=- zOfZ{pIXO%lKB_+R@`Bu~ni>kQq@7Mlz+p5~Wov0;1DBV_S|3a!fFPoxI{z)TBSD;< zoh>abKirNHK=4CQ;^X5Hk&%rXd}O4gttO@EKYpN!TNrI_lWLcmpcNT3hCNIjazej3 z3M4Qjq~04LDm7pFbHor^|*EiB9=CPrs5m>Se$Ch6lN>L(z^(DQy%MQbCXr^-t08>!=n+J4=L*(>0w27iPQ_+ww4+#s4*T8BhFH5vDLp^`#9KrY@Y^<1WoYODNbldjw+kA7`SRt( zaoT+Zc;XftzIvMC%uHnKi6XS2OG+^O_VPi|a1bvNUgsG2(yFSe7OjY$j;eX@%fk0j zw!9PRzqwe{Uf9J4-uUGui#Jce**}vtwMnSBzy{KUp$Z` zL>(QixTt%C)Ng~o!h42nU@-{ZgbhpwUnI4A&7l?>{ogPD{{z1Ge*_Al%EvJp^7{j9 z(4EB7WY=P(qBgR;!-UFH{xV`>62~n?Bzj`<*ez0I&<6k5nYh6p?8yJuL04okm3V9G z(g&lRfs{NuTMR}lRT&Yo!4#ZEgM*zM0QLw?2ngMiN49=b9W-I!(gl49Esy1XkAK3@ zx#W7#NKi1gy|ez`X%JZSOrtN|8>RvOR+8oEoDnKclkqn;Q?>0O>qYen1*0rDs zD+8)pwkOz#bh@{T1nhe7f1*%Yel}4u#mcd=JsR6W1i_2TbZLM+cPae3S8|lyF)KHk zBuo|Kt#z%{Q2yZCc4gKcdrfi!kg7qAu1w2}iEQ9wPI^Woh&Zx;E{+^SLL5pbd@rp2 z%=`lkb|i{Ue}pYT$hne{-(-gl)-z-tnE{|*`rrQx{Q_hA50w%#f5>k@_QO_X5+UnL z#Y<7z*fGCMv8{JqnckxmP`Ap1W5hAEm)a~zV)`!v`wXL)Kw#M1biZ^l9zR8qV(LSO zXbDaq&bTggu__n)_56O1RcABbM6;*b)BT-qys|JmgO<*I(l5UE+jYr1I1eEJ8!QOD zS`X5wO~&6(a_g!dMKG=Qdy-I9+nwsS-$b-8iEDem$Rz$eTNNTLon0XGP7zW4olakpZ!kiH?V_3@p#bbGwHdx8EC3|i+idR;sRBijhN`=;})If zbwv`fy!5y_w+p^_U8h^rad6Yl9g6$sV^`x zGBTR%mi?}7uMZgB9SLuqpifl&3?pI`)V-qdhb*pceP*e5z`>$C#bw|S77?&y+ZlF^mz0i__4V+6A+OWlFHwUVOM= z;U$%g@(K9)LX(SupZvWe?U8diqFedD2O>g6`pm3!}#zMv!zqlc_}HW#^NLyINS$; zgg_Tb>JK)Re%GDKgYxX{hQc%nS=7yCZ>i7qgs2@26ne=pPe&2>r&!ZyFgB~CfQJyy z%pJmLbS2fQJ6mgU@AD(_vzV_0;n23aMBES2ZyfZn%*A#HPq*IlXKnk(nlUfkQ>}I1 zt>Jmqy(dofVk{vm-z~;hz=%N4ItqB^@{tG{OD#r&o_Ncw#Nc?tQ*Fx?+LIST3s8lq zRlL1oA}2K4BI=o_ISKsiju0A)i!wwHlP8*HTq8JMLL)A@?>6SB?iK^UFi>cESW9iK zs_~?c>-C@BL)8M{meUT&Ch1|A$bkk-`!18VL++L?Gp$BzM{AQ!*5t2>Q-kux#aXAh zyk8@gy?Eh0#{>L|6s~x{>%3R$Y}<`4%Y+7AZW+-!Yjo>_se3z27jP*lkuw@m+!Un{ zZMEE1BhHIDd0@t9B+D3gw*i}mW_RMU+<}mJ%Rol?8kcpJqu}3dmb=-63Hww0%uy>h zmD~dAlzGxZoo4USON=6llb)2@9e>Mnfoz#FwHsG2MN>7y?}kwO68@g&iHCRi13#6~ zV-oU;NL7HF{N>b?ffX+__P~K_)aPGy(0QF`gN`jeW+w4SXLS3}D%dyU-pAD)c-4FJ z0Xnu6%W5z5X6#4}CBw!)B@!r}8u!l92zXKOk7gif;+Cs!r}G)KxLp|IKF7^fx$19R zT?yX2Yd4QbXoA$)%MQ-fcp#NVX|Sb;H5+b-x-JP1=&=W5B0LUPNr#tOO)HFHS=paUXDR=ioSE^AA3y$U{e|m9} z(MBJ`aN;mElpoQFfsG(vb05%+uU28$iuoeiR;g&uV=~$xTY9)db8GVw*p&+cbvEVx zZnR^m=G8YpjFdIJx<+=YgrVwC-~acMiZ|VwcVk~TW1c$U!QXc0#Z4~UK|1D{qBr?N z%bUl#p@U6Z@!rZ$9!P>^!l~`#}Chhe6c@wk)F9LVR^H$wqY@cS`sd?aAwl3 zM^J_DT~{%99=*1#5S;u)rYBN?L!g|pS?b8g$G51QW-qzl*MS(?hCtr&v#Ok3ZfKQy z)h?g^$iZ#z!^gp=o{i#DMMENzd<)ZHHyGMLv|Os?E*^W&#J+G&W$hbXXbR#~V2BH5 zJe?YFxXda!KYIBig5rrM8+_B(`wQR-uGkGT=a&O9kp+{?U`Vd5HJ%W zt7aCamT!ov4yI5F)B+_6I(wrz0(w?!XAF~?=0B-Aeycq#`puM`o>>dcewR&=D%dbl zwQgo1MI!X=W^=HNPU>@9>Bs%oHVf6n8WMO2B{N1QBM%OVg8GxCEdi%x5=yH+1UEAT z0swnQqi*R(pZg7Co$J;RxuhyWt}7u&vOVGXsiY1+AI*a-2gwn4rZ{J~9vwSMzZM2w=^1{g46mx3J{_VAj$DS~w1R4rlxY-E_WQf z0ggg^t;W^$Rbz8?NctCBtfGgl#W()lQkedGzNrA8@6a`Z`_Mmo zM#&*|NzpW2iBpIVeI_qy{t=clYmuU)9LIRs&o-{AI!wXKh`xb;AhCXtuVT%U_mf3> zW$cC4ao@A4yZW;OsU84;&`3|>h}Ceq=o#2cBp*ZF=_ZhOFp7j$URFP|Upnb<+_bDV z-VVf~O|f96&~NaZCz@5?=y+U>*SBP9LYT|=uX;EcYlcC zXuUc{079l+I*l;#SV_hTTEQwHeAHsWT0OyC-<}^jk049FfB*E%;JL)Qlq;D)JR{bD z-K-y-=rs>Wn+bF=;4(6&FaH(+%I-81KXI;&V5rutYYAmWn9NTpO(-1Yn?ek)1C#nQ zQg|-$f&ENmt?5zB=ajuzN21vCQgnpZa`&NWNs=0;aPttauj17v)+XY0OV3EI*PL*% zkn=i;==Cy=SFJY{8(FU(wd2C!=WgnaCXYsX%H}j0;-h=A(W6P>(+KY=+^Pw%{ za&1z&&rK;84(X(%zGW8;Bp19nkV?w0Pb+ZwsHiRXOMWp%=%P2VXPZyfa&`c+a9r!OkR4)TW+_CGL`h zw{2jDXT{?&X>&(M9h&F+aN~$)@(#}_Lgu0f6^)+%oB~XxqM>c8MG{}evIiO@z2~t+ zRy@Hit?2&a-Iw(D|C-6)hdSgnvmcbQh&oWbU{>}>H}woKDDIj(At9j=TdbRV_ujs} zc8{vWW}iAb+3`1mdi0x~hS#scpU6+2whMnW_#fyWDqU{A)HYu{8*C1+t%7HBTjtcQ zp_*06q~kxxUBf#eCx%W2lRhUe?^2QjuOqDFxQ~-Bf&(+N3r{}{ytLltSsZ^$k|uzv zN@85@w7C4KIF^b$>UZGpdb$>Z*C_(fXyr%ISD!sqy-hgO*ESB@H#8oPOJz+0l1T=S z%AZP;qsF$l#*NZ+L`~%H4jkUpYW(lEicHZ_h+XzYUnUjH~>>SMXjuo){ZjYKd(}ghsa1 z46hh-QtaO;O6>0jISM!&VkbYt^#yIi#mNZDbd-4Wz@6X!B&Qr&$b=h6 zup>@+6@x7rNLyAWm*8{iE&`hnMHPuBVVohGhjXN?4YRKRumdT|s&VO3hNZ2QxF!6{ zE?1*v*W@r7g-~4!2FMAq4I0p7R*eCNTzor`)SY^Xu>L3lVG(hsP#&NN@53#!mWHp| z;)>t4T=%Dv;+~)A>U=NVFR-;F6|xU~ga#eyijvTf37(kdq$nyMv+AhQuOG53m3R`$ zLY*j-_ce_IcfzgYfqej=eb^7sA6?rA!dpA$7nQ-m9yjlAWdL}=l!}mnw8XM*I21Ne zD{Krl_qq~8=cooy;P6JP_wPIRX5#hAc>8HX{;p`d~yB#O4<3l_1kXt`MIrQ0l!t=&%n|`+8+5HaB1$_iP6Q==7#V$!-4<& zw`#1$mQTf+1Fk&Ad7+m?_Mf1!Nt{_oU(fg`UOz7D;vp1qng6nyp~W@mSA2dT8Nwot z2HgrhOgOw)p%u#I_o{Lhl5wd|p-B4TpYT}fut!t(-=CkK^!Ec1SJ9x%G~1WLMQnfL zOmk$;?lLp4@;0=>ZSc7|l?9*am}#{83H7|XwmXi_G2zr6T!PTAgkp4J;<2D$r)(hu zwjIC@t1`JG#ywvSC+n^i;5p_DjNFv*-v;Sh^Ew)`6};veB(m$O(2cnc!=e*2`|}Dw z)ExZGDDM#XPFngAaC2=|l`Y`QWb5W0koL;~8Xj~ggt6pWg&JOWV`My2a0qh5GpK^a z;L!|0bKeQBS&qfx-}qij%ZA7xh4pqb?#nvu03~w|CVa12n$l4DvaauTUri=a@%M7? zVi~bO&Z|*?rc+3U9-vw^I9BjY<;|N_Y;OJgG@kd*j*iz*u&D8cKvV&kA!CB7=~nq5 zGIxdifh+FYa$1f&7Zo2!mL)70L*Ddy;kgmc@vp5c8xf)YT;L4j3KYX{5NJL}W`<`Xth$v@=1ujq0mZn-f!XEc&Jo6z`0Np1ox-3Z>=J z?~+M5wv?_lk^K;{#;8IK935TVIS*YBrucG6=ZraykimSNmnkDh;pz zPPymI-q!Y0zq#XHfkr{&VMPs~9`Pc6e$`++!xV$01L(|j#(hnPhATl>VzUG@M(%moma79x?n`7p17f&xHC&t@@ohK-IoMNsjpR{84dv%h*3rf=M7hArXb zgll5*MOJKmjg+3FIDKL7M1uhTlmLYgExWT5eRtLuf-m1TbRqCMb?CnN&;HovFWltk zwPC+`&Y$mBePv>l3G`S^h6hA4%6|~pEzx2lM3pE#Us>ay*x@1-Q%(wxJ#Be~UU40rPCqgJBjsO6+ZevJ3)FcH-pcnw!&w5V zJ~-Mdxe|rL=^1rI{K_<)-*YuvEWbqmqQC^?3!;kfMX-4^Dr9t)MOJNC`f^s%!L{|l?z!$glxRx5B{0}Z}4b6M8?xoXny{L z^kdF|^US`JfQq*lf2#K~R&+{zUJV8Fb3H#s`EDh})=A`pBKr==s{4FhCkO`3o*Vi< z6!jOsm(G}PwTv|yE?o~6QI-&zRnH91&aP^#T36~25)lRW_1R3_J$WKMS!L^34Koxu z@jwa2SCp2J$guGZ&qe`hRFU`CcKyPa#huAx|0j?`G77Z#ll&bD$CO4^UCV#rS*QQGI3&B+I%fy zwYP6WQ7~NU!#wLf^du#}*w5wU!Q`s+3OAaBhELz9O0m zQu294BAuu1N|sq@Wh4E@1=ac5CjWoe0_^UwTmEG6x2$e^U*7hZYXG++_N`#0$AHhUm}Z1`Pt zBI-OI)8LlDDr=Y$9Nx{`Vq;^|63c*LCc?wTWiEU+i9O*XQeMZ$NF6LEqAn;xeO68( z=2K=uWn$W|RbsT|C(4o88is`Me|7cGX;;t*bx-Pz(Ka8^kJS@?H_I==B+%0z>Z`1n z;;;UEm}<9vM0(lT#cb4ye927#3KEYVP1!MgJ@F8!&^iB}nz3#Pyf_Rd zNLI?QKN?qAU1cO^!`9ZmcB}-A6(W;3N5R<_?wyg2%w#cH886JUdLP1)XXJs%-aRQBD}4Jbep#5Su#o*?Is8<_Lk|}d2S-g$xNK*y3@kW%g9oQ~u!!_U za{>tx43{-JJ9&g;7($F&Y-)(}74jP-UaO8G;a>GX36L!4{CZpp1=H>3FdnY-dIVT%)1O{&2Izx#f#M;+R^&?}UqY02PSHE2DPftZAf9wbvV@gP{jw8z zu2Db=+&szo?T+DsGY+>$Ba%!Oma^#6v^Bsf){tIqpQaG6pRyh8HTl{zd`BQ?Q2{mK zS5RCW)L|l_pW?T@Erixg%=9{T&Lxf!%lBr*S1N0`o2gkrc`$CT_)UI^QEPkABVXR{ zO$%?p1Ifr3ktY!kFFxeei&hR?XDI?fE~*elEMqIIUh+OEvmajjWcEM;fk{KNw}9WV z|KYT$FQuMBr%~8Ew;o^4RR!7C}b8Tk{%P(wdv;63Kg83`T|6sfTS8k z_3eybnbbmq`ZDWM$NDpj@@+F|gXP;F2*b(@N{=7R<0S1BR@N zRu}Lzj5E!dnI!)7HFmttg-(TUo`!s7PSrw7zt6I`$shWL=vD*P^O$r!LFH!dcbH+q zMCPXb9OYJ9c&v_yv;5f=6)dE(t*DvhPp$28r}Ehm$)p9e5DHodB5ok9oFOPA)g z9}`q0GyK-$ULAXI_^2g6x-gu6nfUO3EXk7EF zR58EN;qtq%7yCKc*;0h+c8gIoJj0ybUXy#^>?`&R=NJEDEZ+T2psjQ8Y3N3gt6}3<0e}*3rGh%EEINDZQMIJm0Mf zpin9d$WV~eeAP2icM1aKWKPIn3Xw}&u{u00R>J332c0b(cW~W zR=Ig(v@XR30K2FXD#`ulf3uJC3JbsXv%UbTB09i(jm&O0i;FNpFlgFXoEvIzP>7>G?{dEoN~Fc_s5G7Mr1>Yq4dY~o&C z!Y&8%k*@RZ7zLWe!AiNpwUkeHl6xkWu%Cf40kCSSz#*R9e8c|qph;;9*h)QdvZVI+ zmOPY!Aq!8B_O>&yaMTR!%>g<>xtrY|``Ja;Rrp6&;G>CH1tnfny_+a-_9&njiYJN$ z^#c|8V1k32Mg1}}tSbA3sA$nE%t7JfK0j*T5_VkXFxW2*R-iwcy;D$9l2QNSMVnOI zbcGG7>u{jOL6z_uwhSD${M{CWW6ampb2ivZ_376y9*RgA3S4yXx_NpfN`|2Jo#4A( z;pIyz=Mof~ndqlbxpPZF!2{&SA>{&9?#R{^HGmRjgTbjYhF*u#hWt~kz#v;rf+VD* zj~N(H{OOJEZZ5T&eMBDQD3g0<7@|$ZnzVNB-#^SUST4N0G>3;+Ww);Tvtear)h8zlaW_fNmvF}3r=QFuQ0tlL!kH=Lw`+V6?$(CEsFMcX&MGnyR3KJ zTRkG{iz_D_*&7G$bxEt{5`(j>tIkpb#016YBnfG0SEk9>z;m(d*O4Ug+dsepAg{rL zJm_6Yy{}zJ$jPs3oIk#O8xPjS!|ni)pM8<7u}M_s$*p^ zwQ(_(sT>CjtMOn%5)Qx3tr$1(4R}4F<0*pS<#a11EG+qW_Cy3vmXnxKKF(_nQ`ySi zKBR{+P4V0S)TYHrq~+rB1P=AJwXwjR9X$^LQYRsakh0rnnY#PNVb}tevKhx}O^sVe z=n=Ah$({6u?f)9*-A90yLfF!s(llQ`ZP6+uo3!EEbgB~#h&bYFT;7OgM(t(q^xH(* z?hOb|n=tgH0T`rYW-me5T@V`^``tANkl*|FIVR^lG-M(uLZJ*YqAK+W#Ad5p9BNYk zxOL3dBZIp8Sk|yONz38-I~ro*ksWsCv(AeUKLT-rZJ@i6(oG^3)IZQi00aO;M~5GK zfzWFcIBxfy&HekTHuG}HtYMbGF9Yc&+=+ywq=l2LS;LkTX6P@`)9ZoT@^4?d-q(O- zijO-|MhSgRufw2f3C+nNo6_<028J)JoOsc_>Ew|&_NVd-$p!K=2rnPsayUnmxTz__ zgNo^NXTlT+eGm~5C(a{4E$IJO$Mcnh%$7s^tIbM$nc@SsBib`mm6+NLF8Vbe3B`VUC@1QAoKJzx0|1b2e-7;T$>~EFAw#r z8xWMyoBgoGfd%E1m4RClqQ^uA0y>A?NiIWvP;X^?J}fm zyEO??l!|K@@nf5@@*qFPtN>!%y{ZGLmZ7gIA@s5w1k=XTrV~Bu2NwXWRXEOqo|tOA zcS=3{8)k^@gcOfY#-`;*Aa+BDhlh7@d*B-lbZEkttDl?f$e^*3vG%?)Y|iM9az~I- zlsKreM^BvrCLW}3hXJY^O&wxoYull~(HK})CkV3f$w{rdBjRDdIP%N+%W56=%%-N= z3Hp(@s|7qgDF*gV{i`z~vnAc%x?ccW?E!g=wzf7R{4>X*JbW}|WNXva!T#LWmE&md zky&PD+gzAeJx1ak*(Fh|E9$7dsk%A|pWQ41$U`hEbtcY=PFoQyC15Gl&*c#6)P04i zq$=bTbXQv_E1ciU%66Slbc|{XjcCSl$g)83Xpu<$>b^GCxF6@txB#)|{koIj92sKQ zQycl56Ra81Z?Mh6?(+eYHnyWD*yiBuuk5<(J4}RVg+;K1yIGm-Db|$_lcXC#TUUa@ zdIqaAm2^8dh)o|%!@{Y979*+&HgI>$N8@N#IUiK+85`K1d1x4v|fhjz@C zb)g6hri_^fIk`C=tiNLqgFV-;Lj_K)oeX-Z1g4KNZ6}~qt zs1hT#zu!biawslHHvzc{EFD?J-Mw~aA&xO4CkGur1n3lC+l*l*&0(INqVv3;i~m|a zaR(tukGqld@?#(obeINM;cRzm<*c&DtSu{AbUUe2rDe+({1(wfV3gFXFAs|njT$^0 z)Llj#EnPaCtcOXW!C@shT1V>cRUBi7yYc=wD+9;TSg-$UEv*`p7~@zDXsj<50-~;} ziu6A^DdD4ThN3-ygOAtyFO~>=H`~W!b7!9(#fKy|d02XoU7jVQaxgMhd;>`j59Qt* z)kAHTgC1E0sOEs8b9j1s+lA_N_M427k|9^TtorTk$oF=3bsO{}<=vW1Y!VSBd${3V zp$HZbxBC)bAVDk!l9zrBihcw(U(;0rV39IXrs}WrM02DJ1B@Z7E>eBFvHKeWk=G2o zxU>ALS8bYx-e^hv=;`IIAhIHHH2m|A*5wmmA-y~!GxOLtt)3xeuBlgBr9x^HH8`w# zBPq!!%M69aYJwedwOc;;AY%;+!v=!CbReo@(F{INj!My+&EjRD?X9)w!Lb$Q<n?8I1q&If~kUyJ-OHxFd$b}jx0j(@E8{1weJZ@%RN zn%Cfxk`knsE*7!&6X8`^X$)Tl&sFnB?RYunq{3T`#NmNQjBYxGU#sI0h?_5CRu9N` z_jbW1N(wL|0NzFW2AFo?_v9>f_xG#eis$D)l6yrteNcI}yh046OA{~}CkQ#iD9YH4TpAUlmsO`W&C+Kc|5s76yVV=E%_>~uGl>+EB%JVB*k`p0#@6(YR( z)}38m*=O{ETVUr(3NESYPoCTBIzrI;vSE6HMJ2{Edh!D$Q)q5 zXS&uL&z{K~He|_=8ja@p`-pMeaqSu+Z|5GaeKUkHGNJ-)DNqsT6&H8qC?=J7T^?PF zngdTujejRC3tyE7&damvm+anzFFdEN_W08oYt7Y}1JA@A``_a()4^06P;Yi%mFn*6 z>+DNBHtPbVCWzm^e*k3bXKBa($bLu9&fac17<;1t{KKC=uO76#K=?RhRr#O%cRk7e zs!khD0u%vlvA6Xq-sQMi%>Clq{}wNd8r4=kEl>*#iZy>JKIP!($dJ089iMh|s(Ad| zM?l51vvNVDk<_BPF!OY?!sV&ONHG3FKBQ+7{9% zz}XG~sqo=`{Xu4BB`J`TcdYe(<1+2UeF*0M2uAtIqxv+{U+VaqLgD%$Nz^58_d6`C z@9|jg*L^R4*#a0)I#R zXQv6kLuI%23wG@Q92xOY8uL&>iHVW2xR8J%KWvXXN!Fw5F; zF4s&UfzKSG8gXT=jS8IMp1w1=OUw_2?zP@>rfR60Gd$oOawIOzYi9(asY?Io-&vUToOiS@fx(N~ka@q2ixUvLvUHtd1 zyupddC6?_f-+4&!EAf@$@rnFmNmfY^QiZ>NBlgnn(9Uuw zEgAX}?pLiQy4jneM1V4e@akeEy3{1-ruYX&haunKGSzq2e}cU)QYGk$RYKF z@<9>|x;n@$D+Q}V4>Gf|xSY4yCV1~wnr|qk#xOF*Ese*5C08mktL8%Uvc+0|Wh-AT zCZgm2_bU*3{}-+YKLl_+*<~<8(1q~m#rmHI0=hLvamP$yI4~&4^u*HrA;`orp6aa5 zI7iy@QHfsP77sgJVxlVGs1NsaC)ZM!fAz6wNpmd03Z5t}MpJ-bBY@(Iau%+tj!O!t zq+DgXZ-uqYnEob;5umTa;qYB`1TxT$1&D^eN;oN{ws`lAv6=AEb2a3NKsS1 z(Ghsywed*XK2)brLPsaZM%5S~=t(l5=f)!TFhmIhkPawa&}x9-2V^{>6F7NAb{~Si zAFeR>+6l?W1&ZA)@v9W@7D46ogPK76D!YCAjC8$UcNv?TQgNZ28pl7K;s*lJ5Q&7a zjCuO>sidrI$S&XCi>S+o{g{9bl& zR^j5&E^wq(gJLavjvGUw1dY_ek<mrvhcEglrt+q>V=PSYe?C>zg;h62;%5pI;sI4yvlD?E!X@ zGN{7sFbk6)I%Y5J`}g(jjIHVF;zTbTY;24(tT)ZcLe99*C-qRfhLM$QBGd@gxwf?X~)`2N@kis zz6(0%6tG;_fi25vGx-n6-QZJEHJWJS+TYj|3ac-JD6E*sf<=aB5+Jim0(JU>*&5YP z>+3Sw1pR?nYJ@a23^Vte!%_eYeANA(UhQrISqx>?m>a>c2jrHw2tgdNG<0YFPI)wC zjv&7g>1Q`8Zdw`1F`e)DjxALEr-4*Lx`tN9gf=>^(Tm*w zOZzw`Apx**Wk*b)P^9;XNm!T&Fvv`wB_9f`!Cr3NTB1R2j#AzyS&Qh4FAu$t+?EdqElX^3LaGe^W8c*SnVU8 z8k)K|UD+a>kLIMxv^kb`TRG@OYo`kshTeo&ERKF5t?}8E!sT^Fzu>D!gy&E4I9npakcNy1$Ss3#+V zxWCQBf#WDe(3vdmvzpm8!J|0b@+pzN&C^EmOY?VYxVyxR&1Kfd%q9D7#FrjWOcXzS zxiO5x`TI*O+WW(1lZ70D$Icat8d5kP1I-~vg3nBKpKNb$8}TJIPM@uD++dP-DRm^y zB|$<+xwbAZ?%I_-Y%jyq7ItNiCz@rO=8@9NCzy%iYc7V1IoV#2hssMe{>9HU`VHa1 ztf;5}dSz{m)uiv=qiO^$RpwHJsxyD>e%BS?qKLr6!vh!;4Q)k5g|i5R?$A&v^i_9N zqnavT;-izy89oWZn9&ckzE?9{oU9qgJE$QD@9JsQ1PXu4tZUt9XjPjJzZW=)1C(L$e7gU&o7ADgR=p* zHQV1MB0sp5B< zg#J{++_GY~5`-s2KAYWD$>>au-tf7=;iwqBw}cVVOvX)groQ&Z9Y$RUw>3l`SP0Wh(^$fA{d`$eeEmsG9*N^F`}7o zV&y8anCtaeAbLGEFEnvT_KVb$$#>V*#O0jtI`!zlsD8X#OLsrD7P!0ARe5U|#FF>v zajn+H?n0f6yxrx6t=_`<(>KXuHG3o`AWI!mqmeClHv+>$+ZCN@eoG28(`pJ%KYIyUm#m7yoo7c|D z3iKB`?7S3hux7RMJ)$H!QL6SH)XFN^UJ%=Jeika;d5!}bSOT)1e-ROf^U$}oGjLYU zNEY^{-Xq~N;dPC*8%pe22J-=Xh#XP>6=3(zL?Gm*stPdp7z$)Bko;n&J-izC^@Xdh z>>Gx8GW{O94rq^uW;@(0_Z$016Lq@L60 zd0nHvIVG#!+u%awcy4$q-o=FN0>Y?-<&MQcx^0(^nRCCSS3M^AykOLL=l!Rrj$bdT z90If+s2HBk59a*RF2zNKD zOIb$u_`YR|{h)1B1-m{yDB(*;cEP@ElzI8mpqM+! zrH(sZ&r3y0gRAIhfx$lSs}+uM`rJFl(Vs#S2f=ScGL&!aUw^M8bgtyRSo|g?X)enJ zJ4K$}Q_|BQ=xC$6A=+Y)IrGqyk5kdt#|w}s)?%Z1ec`j@-pY*~!3zet-q&Lvvs+Vm zk&wScX}3^x@-ZB_y~iG(e*f(0gSxoKgX;P21qtc9Y`1GeAB4le0QezOA*Jct>XO?+ z!!vgq2|_|TI=Yjk5KH<80Q4w}3spnDHlzz5@5H0=n=T2(pXbSNJr37wtK!s_0bd{N zoImAZjn)o|(lu`T6(PEE@VSTU5@Rn-RY<=UT_l)x%fV$?i{)j#al#eF>-9w~2q2az zWWRT)F-KTAjHrvCs)kv!tN=Q+f_@D%REd_+x4t1SzRC%73=oMYsr{Ds6kZp-KNq!| zTjX^d{zziICN(l+qm=g+8HQ&yTGjgv9m($_7d9Gkjz?W6d=yXi6BI2&HRvb}Rcvo`OISW6mlYsMHdKj&;gzoA8|o9T=c! zVo|1?v}eiH?gig8BRoQPbZ5CIRRt8l8HB1^C@7;6alVQC`{13~ipXlY`ow@Q9G)fE z5HK-y+_%oD{+4&Cd!8n*ur9QF60Yuhgv0pgprPNOXir?fo<^w>pKB{CR@jG@O!P2W zbDCM6Nc3ut!&s~yFHr_ZkQ!D5Lkd#9MI|=xJAOq)OJdlSO3s$m@}Rcz*%%!TsBtpF zVXP;O&38|zzIk7K`Ua7Su-y?8@6Wb}42Q;KywqwqdO{J|>EqoD`fa~xAL|=7mmaGz zR;2`O&n$01OJ#VpB4f-OBA&1so^(5I_E()AFkCImz!Oj*$gg#Hu~h;_=8_CteHE4Sffon>G@?shbL_0zUN8jP$Ht`VMm}WyuY~Sl`EPIC$zN) z{W14+NwORB=GI=Up;$MtzrX)tr1=iFYT1-?I%$|TH6mk#wsWNTW=>qiLudg4AtZSC zy8!(6MR&*c8n8wK(doXYuPl?!h*B?Gl^f@oV1~w^QRE>ftgmP^<<#4-*5p{)Z1yG3 zXF4BNS5j>|g+?2%5!|(AZ7ejK;^>H8zsx+@Uy(}A4E#B)ymCl>Up07eutQm0!IK3@ zI}mL>QZA=P=C8JhDYo)dymn>IvfPfY?>E=T=IUGj3DWNRuaQxJH59ubP`iVpeSrk2 zd?l_sr5&Ai-#Haf_HV@b?&}c_fzxhD$%h|5aE~9(u#GrE{@JeqEp2yfn5Bd*fc7X@ z^J96F;%F>yVLl^u?}jJX0rz_!+x}Xp+BnkLGQA=yN+{zrZRMt`4D04czqjXsqD9O; zb#y3~5>+c>l;>phYzl#y-sq`2cUR9O!(cDE+-`1CzkU`Y%QA4oBX5^kaZ19RS+g z3?ov)k}BPvYCgQU>{3jO!U@@s(yzcP4IVhIo|e|b;%NC!I!{x&_7rTY45Kz4xj3H1 z@cCD9f#>%-yq3@Hq<;21bhobk%jF#OAX7;5aTgzyK1tU?og-kYIc6i{_2@FH9RNhb z`Pb7LpN|}iC2a{`LW5WhK(ZD%G2m-btcrxjexrM$?VoLCmbW!#~xQ3il37Zbrm9 zF7h3{=3Yymo;pvKA4&-b>cqq(M!$FbhU=yu#lN*OLeHD_StP`zo;bE$_A2i!{Eq;3 z1OmPC)c3}hV(J44)cgL3qHc(hc( z*XH<0McmfQZI_5qK9h}L01 z^LjQLdrvlAs;yd44ISI7JnWEAufn2MGr1#9;q!9C>$*p9SJ3+i_u1KA!x5-GcErTT z2wqoiTTR3**8Sp?`<>ok{m6-rx^bRNr=Tc;ZWIoUhUR!iRR8k}(Et zsZeqeeFpy1eB{7tHv)}iPv!1fEiGniZJZE|85rwGNRz|RZ|z?f#k{TYsAT|lEnZj2 zWxH6-o=}+)a%ba}eGQQiv`a^-wBXI}uRAXAC-2g2E?`~$wCbDP)r{ zTBaiTjZCnBLYzaa z;(lWdyprXIhZfc57w+rGU%Dbg#vGVICvTwIG9jDRBd7BT&ezUT8SCA2bFN7QXyyD9 zcv=0%Ly1T0y?@@#pEIo{$6Mn-}b^99{3MmuKI>9^9>_Uz#AH~(;Y(BGv?WzI?|7ANZ z9Jht58$8AUx&b5VcyqXFB*4r?9u#J3yvQ+L<7pWiAAcw`G?X9dImj?Jfxh#G450e8 zo{(o!n33^of-a#uJ7KXC)|EDNYtNort&_q9%7A{{qwV@y+hB$(UCvT*32Om+ngCA{lYn~TdREXUPGq0X)n}orWVxUWOIvTwOfBVW;DYW z=}OCIC34ApySZGvI!U9^JhRHoa{00~S|-E_B$3`uQNrvaB$QgwUQLXn-sPdAf0!dBv36$=i4#(h~OHcT5 zE_GOxc_syG*;P^_XhvD+%Pv1PT?tx80bl0Lc69NFOGa8d$|$qAWv=1TOczFuj+$3= z%jHd<4u>!DZ<+;2Sb-{~5*e(zF(<8w`bEyY#NAK5{_yQyPw2wgwr82i5xnY~vOb!< z87Uwa8Qp1(w_Uf*&uTuz+`?k+9%r$Jt?BwC?ql1$^UiJ-ZAjZ!047zin{)>!iOvbMq2F=e7EVM&g)cc)!*IxP7*Cw(^~Hc^=IztFir3@OWN8}!6V>b%*!G>Ds8%x(f#qtf6Nuvkc8m<%qtU^#wQ2M-% z)ArImlt>MTC4Zj6rF7Pk)FhYVIVpK>TpKEXJ?EpUGC)5n&D#}O@=-#YTlQ-^K4+%> zRZ>x@)oK4=L!*oeV7qzODfqY%MRu!i405j}_nx;?Op8j7s7Xn9n#%S)Owv|uoZ6># zrGZ;(iylWyFJJrq$X5z4$l&L`Jdxg(hKs?H&D-@beBbp^OkL!0uYlt-Dp@dDfKeg6 z+j|y8FQtp(;K-Cy$w#DmhOAn)9_N|&nqVUlIdE<(?}&um*t5c+Zyc}wpy|p&JE)Td zxX6nQ6}MUzW=Bh{R!nC>h8Y!)^Kwd9oV;O?dYdp~VmguGUks8cQ4RMTORbEiiCf_j z2WygMH^}2uTSW;Ty*%2kptjP8%|mB45ePPAl^4)R2X!hK0VPZ8c&Z1Q`lizuM%w=M zX|Z1QJOf4Zx2Ev1w%Xx|R*hITzI}#zu=|EePO5SqbEdPar(Y6Ww-E@{9bH|-P-z`& zdKcl3t6Skv;g5#Pp}%EAhESF*0V0en-}GNx;`x{I+2d3*;ZQ(Rl#u8LR0TkxBekK}?4*OHIY&sV*G!Yl)pK8wf z-Y!|e55iA2O8Z$38%C(DwY9YvWp4}vKy7jst1fAr+0zCDjS^TqC4r^m!@`lNhiqN|>gKR?Ejp`_fXK5(NdljF=etSW}gR*}pq|aUopm zYHx23fJ9!8{V3$h`0j~pH|Yl>7~(d7F^xYhp}LAxM=7p*zuvI3_49B#*N8hFZZc%c zxF{2BbV=TlgODF2KBChdKudg4DAak5P6<38$4r_dE)2@_3r z7GcCM8@b{csZ>8HF!nb#Fvdm2Rh~d{3rG(V>s)-gc)VP_Ue8tuuow`$1IAv#;RjCk zWo2c(9Q+a;m%U|5Ci95L0>hl7%RiYC0`fj76Wsuk#qm#E@#HHl5$obH7Gf zZ8y_RKbn}BNPh5u@%!w^ek}cU{lkYTHv8}^A^27BNdF7H`S%oVF8rO}c9Y0!YuJDz P2>E#V{qo|ch|7NgTgne# diff --git a/notebooks/figures/05.01-classification-3.png b/notebooks/figures/05.01-classification-3.png index e05ed45861678deba4e3e11527211f4d7a8d8dee..49773b28402589b60116d7228d2f3330905ae19a 100644 GIT binary patch literal 26264 zcmeFZWmr{h*ETu6QkY4(Sd7=?-Zyz+0sR=~C&IT68E10s_(m!2 zm&e9VW{9n^i-V25i;d+&IyW;XXG?oKI$lm5PF{983l|p$5iYL(`UOsVCvz?V!rgBO zLWjuQy`|=!usG`FqQ05fbl4$*U38XlauSu1raSQ*`Ak6f&#QM&`?7R&bhu2?3Keym zhTIwzHRtAw_i|%Plk%~1@>NN(`T4PPah$VRCc0B;m_9kF;13@*Z|k1uIdT5ho$|o2 z2rs96FG)WmH-d_DcEZi=`=yuU2C?BQ!dLenOJK|D3>z@Ey6}nM%Yj1)L-_aG`ha`L zi9g>?IGwop_h+0^|NBS(Pj`aOI>~*Kpk|{>ZjciXLCWQ&q+Zk>AFi|(vCF9F>nFM` zk9d6YTaMz;-PoB5P435vZI%Z0o8Xj(at)tEVye;KU8vn(R&{hNbhc@Y;&}D-VdYGe zZjsjDZkaPyQGByUb!}JipfolKD?Mj*foUe*MSvawicZ zm7QiK-w$JB29$yHb>jsd>$7v|@pj?kE0QacIT(!FcY!>^Is@m~@4_nr`~m`Vt4*~1 zWp#&3>qjF9_az7d?)#CEk$WwgwO3nwz&tQ;J@9AzVui#J3Z zCj67UmW4}8OIa?w{MATp-}60|Z?jX1cCG@O)ZJfqnpioZt}r2bLGKW>*m(5eNJ()YHx4v-Ut@X-x}r1rl|+8+kJVu8SU+gwu43Y z%Eo=G80HF_Xu6LM_ahZE1Z;=+^K{D;VTGOxd1V{RRV%XL7`xHz*PNBo)HiH?SQpf! zFAbOFl$G@lUMX?-`FVY796|h>=_Dl$;hjX>7GoIZo}8lj0V^)`JNCUI>~z=gc&|S) zA|hpP&vR+CN;A;-SGXK!=TNEj%&NPocGL~~vD`$_$E@d0|7u|?xV&*dBKF%qie3A| zOl!1U_?YJchwW&kI_x@n&tZo?zyh=3gONxcd?af45hq|>;<;&cMa*4!b92+m)>hrv z_`O~A>ixDPaozBqv9WySWN#IzkjoFu%w}R9pG>yuND}wlorxxU{q-UdeyPnMZ=QaY z+YcYN#ew%6x)|y3{OUE?Je^Y6u9yCcoBf9UTT8=ap-rxx_sHkElaESnzyA@ITnrIf zv(~~kzp$XHs2Gx8v!%nKT{N9*h0ncv4#6pZ=jrMBR+?dB$=*+w)_3Q<@8N>s!sKf% znv&~t@Dey5v+aqZzt%DX1Mx>au!-53nGSm=N8N^P=T}zx?~sV6QrlNQcumfwVPcX( zt55LA3j(-jy+=TZRsVm6O@7vp4nA!9!^;mx-ezY^SH`HI7F2_})cIxb9 z3MT@s2M^xV9?WpDad9cZ<@QEbd^1{FWCI$07W=f~ATcf?qN1gbR}A#MSHHFwJ|6Rs zfUa?73Lj^cIfm{&JO4mYOVy_(s^;`g-ZZuV-w>YxTXh7CURU$JpSAq9JkZ zD7UfkKDvo}2Uy91x$cadni_qYP$@Wl#ak=mlD{r|%+Kc(-}rH-a(6Z!B48=k>}YxA zNU@@#!t-FYNnKkzOLV1L^~KpMUFeRTB)pWcy0E=}h{k(HQ4#MIQ8)Rzz1{*f0|SX) zhZa^=T|V2R8CzR!hilPwY91aHv)^M=B#%}@hibgaYB$ojSeTimIwbaUlRRcAN8tcG z^S#d-+f&>jk>j;oA;rkZIKRBC;pcZu*?-1p?E?Y7KVi$lrd3;YV)g+I8dC0~zL8MmA2)zOFR6#9>)k z*%I>(nq6-Rg=7i+{q2?hpA9e2gQ%{qK3D$)PsIKAyH~GY!wH%?2x7}Gzx~re>%Fq{ zI=17nZ=)96mRqkg%vz&Z&Yk{-UAJ5sDz&n-d>}?cySmzGp$5MjXq=gze*f#&uOcqL zeo*!zNWJOiw`-xlUPvCiKf?MQNfke8>+01sTpDp}W{l3v&6S6HaCmq)RQ0$3Jx9BT zzB9A4Rx>S;RyHsEVHw+9;m8zzuV8%F23(uXV{&t(9IaFH@V2}3%SW<)U}^QQgU3| zZxK?-Kw}5wm4QMN*))|iFBL#81l(S8KMEI! zPtP*tojW*sMj{b5zC!EPuV7#>_Azu}d6}k2neF;@Wlha!2Ft!&Z7VA)6<^<4bdAc_ zQ`6I#%pGqGb^LC3(XL&@pdD_5>S3f1I|b?M_W zCq0txnhKT7Z{@6#hb*+QK*ferMg@9FKGc`g8#X^+-|rR&uB9=?+sQOaL6g({Yv zpRd6h*##*vH6z(q$M9$^x+D7$5l+`GOWLC^{t;os{Ao z84{Z;_pY87Klt4MftXQqTlqIV-{lh%(L_I6wu5SM9HV7 zp^=Ur2{CtvZ)e{X8*4`m4G(XA=j+JK%963}%YEbWa66=bK^+Q>N>l$QakRg}7AxO^U2k65=F=vQc{qS`Vj?#WjyqS~ zLD6#EvG3O@M=~<9xhP#b;i-jY;)WmQ66=)W002Fw-$<1hHv~RdNd{=a<^7Woy|Wv2 z$NP1xkXgxVf1hNQUfn;0!W!0rb>@`H$<0->w$5>KcJ5gII{#&B(GQZJn^las7Y1HP zV}7a!vT>>XxWwU3lcdJ=i(RGt206CF7~xPu*eM#XMV`aoFC=>w2aC}&j6#*34!s($m7beA zB96@?@%FV@DEZX32&e=TFDrPxwNv{%`M~7lNGr^IiQ6WRX8# z|KpE%em4x1SVr8i9b%Ay%DWwQ{uQ*0UU6}8E(bfSHqnlaT80S1&7;s)`Ze|;(Sc>I zR^jbojBTqMC4x+t*a-<%{S<)jE~(B`e`hrM`%eG6h5LWq%+}hFbDy^zDv^PfC!C=a zgLzaz1>1|S>gZ!Uh+$|pq0r8Uj+p{;xEf2@0C+M0V>=wR#LHO@{R}|3zkSMes$hWd zrd8|+66nxSF-Tls%zx#OWl5;#ebn-E8<{tkRa+lj%;pa*g^q2~ao@uO5%qsJJNpO{ zZZpOfGDd8A7PJVxeSO*4*{s7eIEcSYDqm6;p;rit?ct1QBc}GP!I+nxb&j0c{nICq zn;JjxEMCbmT*%JJQRR(QV~q@FfU7V@$Y6y40 zzeJ6N81>ifbiaW3FVZ7%lULvTBj0^_>qa-fx}Kg`I~lCDIrpk0|D^57TdKaatx5<| z^n~yCMe^YLW
  • z1&2-Jv~9r_u%5Zx+3C+5*e|m-Ed>mS?b1DE}w#Z&pCLPrPR))de2uGk4IT1->|=p&6r3GLA1Y6xC88$r53bP zyL0Cmv<83^)m2sR>_9DOm%a6^XQ+a)$W|A_&~dsd7ze4}p+}xFK(4jkU7Pvawf|#G zadi&|F?u+0f&1@4ioS-xPQjOhF!Zv2zW#sx(YjgHpNrN9^hUR2<_Xd#H>DI+`&ZLk z8)n3zFh{%bPYf3b1a90wE94vLyHIbR+@u>eL*wDP$>5%X=s8l!)(J&#s94=wxn>9>a| z@$qOl+?%N>I_}8deqxCHIr!}9mS?@;0LHqe*jTz&M~phs*_Y;;o*ys!wI|h=WgyC`f?c7 ziVd5g_ub(^=huhuGlMcQj zV=IBmY!eMXm6#25E~YksOWN_Mx3}uy;{Un${|9al(jg=$hyrMLV1we}q<`ql#C>uT z(+US8LQU6Dg;=W6rTS0g3cu0gU~i4+Xx;vSaF4;AkPeTFk5|{!WFE#u%BGpdr2|8t zuB)2^ISr+e5T@7$eaD(D<9J>Shm7na-l5*EG`uT5d(%&Ocg0d(-1KQKIqUk>Y*+cADPhmU3MJ-st58UORT&|lSE_kpZX28v-( z^^ygi&9DZfkti-hiOH!!aY*@!ePhWgLsY)DZwk{$hWG9h`EQkOTG{IsD2g3$bvV9D zG5qPTBtW)H{_Y{-Ajw&K@*M_q!@Q{@3)Tq8{GU*9kL@4z&Z%ftZlrW32r?IN0M9mH#lDIgvxR|~O4=+2Z!bS!j!u=H5-49w@Mrny7d zx^~|?cU*8y>f)X74mpy4zxY3ogG9LVpLZT%gOH9}^NuyRBN0j;N>7H3*~{5AYgr8) zdF5gtlN8wME*8jNB^1r{196D5z$LyJuJ%8i5aFeb0t^0Zpl^)rMMszEp~f0Or`uWb zk(0AkRp}~6_rim38%bM^uhRp1ha!}94ZAEEmewiGobuMWkuq^R+Q(oJBRmzBu28*w*(;(CNm#ZjB{V4^g?iYOqBX13xnowHKEAF?Q6*Aw~g(g z>sT8%60_mvYm29d_)GG0a=IIXshRKn1Kcl#3Z>i%&0N=uLW49u%;#IlQEC@0m_#Mh zgGh!w$&?Nm4=BS5ZI{G)vV^}@G~8&!_g}qOl&{>IlH!E1(uvJHbA=cYce^kuwB@1YJ4*=FMB5UX$#z;Pf+_cxXm@xV6K zhlHxJrkU~zn@XJ?d3}Bh@n28Ns!bgLVf|~ zTzYEZ;(`A@&u1FMp_c!vXQZ&e;ckqvbd%==KoLdnv#&F(oDR;mm0_$Xp+dsMPuz?N zAK1m2`*M2!&HZ9t^kq!pi+<9VCW;K2RiT@il97}p z!%Yi3E{>K-2L`o|#Ur6)>SDZUOuk&Hh=4e>+PrsO8^h6BG~+tBfXD4|9x;}s8rXIG z6KZh5p#K1W4jqEA5snal@{giybMgeUOdC}mgcu5^3l1|T@^vqCGLyfx-2Zg;%Hm?Q z%R@ow5;4PdS*K#X(Jv1NF;t;$3x|DnX?)DM;q&2o99h>LdjD|=HU7reh2ciN;o{OI zMCnQ%6tA1uK!Sa7!tB3Sc6r{WN>b07ECtKfsQ09*MXZFkb%b-=yZm-&2X@~S+CYq_ zM<>!Yc%-nTHzYcmN!TU4#n|}#7)sGHl#Au?x?X6L%S!oK z{ehiwg|(?VUg4~SN=IB&I7U||ADRaJnkG5Mquo=@dK=z69j1&d_Y4eN_j+E)gt5(e z|K2!(4Hq`AD%7==>XDjfW7JufjU36y=G*ENN-wG=i|%Xbrg98dc%MZaj^K9O_1=+! z`b2t^$Qmija_Mz2pi2OurOZ5&LM{cynJIod&h2Vu!;m4Zzto%Z@=6??L@509a0Ab; z{`6ZM8Da)`;TwOO@$u!D^sLFrNp>|joVmCX1*sb!%Lc;_Bx>W|DxQ$6(y1)n*9wJ0 zOVjWpK{|vp)_`uDA(`n$3SH*oP#2ko=QTVu7LFkf)# zZ8P7?cn0h#1$DB39`CM&2!;as$k|=>a5?*1NVzi8w&v;bchJ)Qqe`*!+wXJ5h76Dq zL$y9t2JSykqKxy)yAP{dXo_#ry&D?R0Uk4U_T{|_%eb}u!*)jmY0NI7OMP|l&YM|4 zdW(YD%{R9;GiFXH-1CB^K!Y0M7IC#NIoSu8&_EQ+V$j4`}T% z5DS{w@GemS80dm**!$zhJ1zF~$;pS%8~h%pMI0JI(3l_mD$+yQf2zsrt+a03rLz{k zmPt;B>~f5A(wg31XoM|WHJrWb9$h4=m2bh=)@(h94{>2mAg~6oDPgtJJtWLXYL^{l zOi@|Rp8LA>bCGTQk5fn^fw@l5E0W_B(Rc}&2*;92AU$tQI&n)*+=}h#%pHRpG7l@M5P5}MuJlW-7}t*} zh6T%_`Oy*y&@ja~dnaz}WQL83$Qz zI!kxcd^`ecv&X=rPmCasi*0mux2|aFt{5^UU0IQ{(v&NcsCc(nau^cTab3-~z9&D* zZZnN{&5Kw)dO9mz%x{1zsbw8^eqPD4Jcik1n6*7tD>@1fDSC#SRvoL@nilSskO|TN zk#KYiv-Qhe$>|3}L6BK%k&W#rZ8!65WbmGQ12=yGztXzwdSefRhp%?h7G|?WWQLc! zfF4TnMcx|oAB`kbmwJI+Jwhgq-r?zk3EZup?y`^R1UI$@9Rf=fN!ax)K%MTP8-9E(ZD)= z+k&SpH6Db7xG}yhw2hqIi*$}#T|xW_L0pD-1!fJ7jk{RByI9gvQ6sTA{e;QJG&BR) zh>ocTX2#c{)$q60ikdlC2Sq^9UsX*l_0_90HAj03^Yim6Vl+au0r@SnjSZC~}N7ysh4^c-U4?{~d4$dL-Aam7s-8PNmTN6x-x zGYUKmp!5Ov?lNp!X1Tw$vJ;6F%8J~AF29-e!18HtEF$U%SUNL7&7o_=}< z+8CouYcy9sPY?GM|_ zFQ0rx-}L$C?*JcFrt^Tg>rcLsWCI2_vUjp*IKzC3Sga)QBhW(o}N5&0vDun*QZws`k~2UJzN?; z%7eX??{>jWDDd6Pxiha@?Y)uXV`Xg( zBthiT8bm1r;1Pp^iI~a@mfBk{$K_O1b5V4dpTpVa6fgy@68He{C*U?ckY(8^DGe1t z^C-jp=9*NA&%PUTy>^XfDJv`MM)L7)vSRTRsB@O1m9BfB9;X7&4{M*9nX#PfN`tk> z-LQ=#otU1PY35h(*~~Fi=cafId^K(Y2#NFp8k(9Ux}puPO!(-2dqn;hDv?W52~Vx8 z6tNvCe*>fvLQ#B8-*J{nq@KU<#PU$uZ9GcZU3RiSriX#Ru{ z6l18Ao=c_u2`1>a1Mj~r-c-?_&v{lJW!_Ph3YFhOn?Nx8;JVN^_qc99am;61AIM81?o4~%^?1|+fw3RY zzezX2&%3qjjjHyrW4GUjogpM-lu155z?#LSR~rpy(YqRW&ZXT6nVFsr zniIfHp$7&oLGy1HObtxnzp>depb(KgRe6{7^<%0+GGJsFOJ);SCozrJ;BSSK;!*{C~bkntCbywHTkK*=$!*iF3@VUO|;w3;P zpp%OUJ5l!PeoA&h0qxd}25vP~RX(6Z{r5{6$ zqs)Y>Y++B}sKS94$7%^(?gMpv6C5?7qRtmyK3}fcHlXC#-}uzWv9=@cAz#-Lt)HUo z`zF^!K_u?GDmR5ottq;-tZZ!XsS*dqrL|1l zh?Q?7um)WpG|#QY!Kt7Nf(ok9hQ1Zx7U8)*Pyt>GI8xbg5Hrf!P{k-NjtZztkt!z; zniyq3_E(mXd0EUS6>hit#Y(@(CU&c2E1N6wfkA!7uab|C3^YU;ru9A=eF_^=T2921 zS3fXBg7}yij9G!${ZEW&PK|K-H%4)4H}HRJ)545N_N74al^}_Jc1t#+Tk-nTrl&d- zJFvzm12G2&YtBW-x<9`c3_=B{mbI;4=Ue0Ca6ew_gX-q^&lKz8 zLF9or6xxQkSBHBddDtyUOkjNkwa8OCu^7}rr|;l-FtF5GmyNxDGJyk^&M1M0o>*Q9dUbwKs78%-<~c8PIAARRi;1$F+-v6pa8GG~9EY(P zoa7fXD1H=tiBm7rZ#UY{@pdd2IetYXAEchWB9a;sau!?e@-V!|ELwl|G8-#vcn6mH zMtuc1yaIc)A3XTE(T&6H2!zE{5P=LZD&ByA_N2<&ij+n|UeZU(X4Tah!ajf-1-%z? za;@)V)S~s>Vr_=|R{V~=AXkIBr%_;#hgMq^$dlX@Xex1Sx$)~=YZ{zf z*RN!nkp93607v&|mG;`D8FgTVO6+9Dfr_0qY zwTcAq33@Um4(F6evQYO*9FIw3*c9NNnveGQNCJHWO%^o=gAAKS?hoipiuCatEy`Et z@jkWOr7lR4XNnCwftY_H#y%3P4$OKd7~99UQhME|E(>3kX)b#r_zNWLb$BO`ipu~BLG>CZqGB|F z6q1xgW6r*NQ}WB#*W}heKL@n?_(&uJ4~{CxmG|TBob4#g3PT5*5&)^Kn=vR`uMj1E`iCmbuYPnOvGb&a{c z;%6W=>h%P7U>AWye%+C$zT;Oi&y7wgFwcRvi62TnAVP3KwDKziG#JAYK-+<}p!OL> z|EcYLGm6HK5t$nKdcxCMU_}8-6z9%9EAHL3f5(KEa_PL%Dp&|+PAJo58|ki_`Q zG%s7*r7)eGoSYX|s10;5US1o4HMsY#$)GR>U@;&v0ly<}eWzx|p~E#* zE8)Iu)2r_jKL3+nWA;o$Vj#n|V99lF0yw?asnzR(f+)KBWTXt1zBPBTp^wH5@0c39 zVuLSaker1Y;;4XZfH}$%;yyb!w+9TMf9!k>fy5{(O}p*w>*`%83u zHw3Pq0VkoA;8D6#a(+U>We7LuZdfUZ;N9iJUBIgaF$i~>`9O7sYHmp2*?enrb0?&Z z7d;C8cu353JyK+IYs>2EE3)uZC7*d!Pi*4j4R9d-ZX3Dy1x`i%?&rP9gF<#W0JPww zgKi6~M^3m25H~2S<*MEJ&`r&J`K&dxDV|5W*ivX?KuCw4&<9e28dPkwP@fROOKDI# z>wxchJnGOuTnRN8N>Ku04y}w%rOR9xm1drfz_gaJ@y`Gs6VRv4v^6kt6oUB#a12#M z65TL;oZ3Zq(S{fd)KUpV0^#8HgA=b1p4!*fw{E}&#o)4*;X#0zcKd(>_*xJ5w?+Td zTyV?g2#&co491#J1TL3Pokcyts7VO2763ZbIR=YG&7_L{q-O#cnhBf$SpsNdm;F#B$=mrP2^DdM9abLB0bU5o)bUus!&%e7-7WJKx1luu_`85W$E(<9C*?UXo&_N z92mC$g+89#ya_5c$~35|MigJK1=NU!0P17j^a529fX-qM-7YAB^Ayb6#!fz&;P_{%xQEW*^uaL|78bU$vvcE&hV~0BZOfxorPlqN<_``AJA5?& zEY*QW5BLnYwM~B8PwFW0#!DTNw%uiitG8wR5RE1Qs?LpOSq-#9nK*-UJ!_N!0FLbDh~+)-aM~;6--9hL z1z!mK($F+t8+)OjM8Vdd7?9+>CWB_my$0GNy16fcmUX*r_FC_Zwf>qXoH2@V|5qyx z)9F5Pik#3P&rK}em6im4^BD(oy*%-zjjVv~i@dw<@Z}jWwxO2WZPME^5M&C@J@>yt z|D2YV25*a;n)>RBqikr10tf@IB>@?z$v-{s5<$Mq1SPxKv`aWjHjP2X)zx*V+%e_A z*ALTz2WF03F78WFw$}Ua+i(30Wf%=YEvVy*K`+2B?h%wYe454RJH_qBs35$T6M zPYUOPGE9R%Vn8^rNJ&Oc3*Cd`m4Prv$_5MRTTSd(9NPa0@N^=$s^EyjGqgOFmX$4l ze^Jxkz5t5hmQ8d30a}&@SDmv#UDRT~fqH_NSYg`;@1(4pG3lllxgOD+pn4n+#z`x8 zQX+h*B|ktBgKr3e-sIrYfnPu|V-qC|n?h-$T_&k~^0U4;{Iwa~Kn)sTv(U~wgK&3# z1ah71gb$$hw7mCK{=oOU@2e?0jM`DgqYETKn0-OqsEz8T)7P^UYmjMjS=Be0%hFj4qF z5aiSXVUW7|gAn-wDSO&wH7`F|nmcjY6kUvbXUI%(DHM4=;)_QkO;f8uR1?o{zklF0 zvE!Y;FMZnRME-uA4;UUH5kjSYcEr0swp|Z^zhz{lJ-uetFaL#i%RaZ??bnAF}d$Ws7e$b}<} z5q%&ZFe0&Appua-5GD|RPJY>eSu$>jEtF5ADo?hIgR}JSpjMRRLC~oF0fRFy#3g`y zaLhm9PyIhTmnh70x%^*(PnKkR4W(jXjb!LwgDbxat*A38|0H&IX*iOe>1uJI*5Y;AU9PU?&!-1;YN8i1?-2KZi z-jn*&iXOY;)=-wQ&iUt(c)ZQ!W4p;KIWvip-((xrYY%i3>ef`(PTtnezUZ%8!HI~d zLoo=sA`0e1M4lH)M3EBJPp=}-15gWktbCyUt@?{!_i*iaxNjfW;3dd2@%=ezK-Te2 z`W*NkrxG}{_dbynV_~DD-NML!Fnlq-V<@AtP-SnmZGWWNe=r`(s-<=#i4oU97|wc! z*m{ujg+g0hApLtwEW3;J$o!kr|D19@xcD{8-}&!A7v{Zn)`6vuJmw!r@*;^63#}QG ztL5yiR07qM77xX`Y|||jV-c+0V3a`mzS#wzA{BzAox$TQwz}40VZ2 zQy@W1f78JCZKX67n7||dcoiA^vWMG1NpZn}6DOo;ic+AOAmBEH8kIo(r)h^yLtEu; zLK2qF#PG(C)ZeD~A{XtL5nP9{^5vja7&#-+4kCU`gxn|nW2X_dI1|&q;L3R@5{bIl z9zDS?hm-aA5AVB{fD1`P(8@moCWfRL;0B#`NI&aWF5Q1189Fy=cyNQ9JKr~B%Hz0Lfrc!yP6sTUnWW$scR5(#=67>J*Toynz=MdBy@AlPW*F~=w z&!Qgc>gHl`M|NqcIy4lpN>DIXyvAGIED^oQ9{pR$NJrknYk4MT#Y6k9xs7)>nJ%6o zCU6K`@Z)pvqC01VOGelHogl|)Gox4^pW8UK+Y(w1=!r6Oa^%o4i3;yCBdUxDsKTQkktH8PZ30NKsCU6hcV^Q~pvvvwubfCb!l=1Cs+ z%SPSeQSUxFC+WGrR2KUk572t^U46rZh0~6$MfYpOpv_{1YUy4zzQSCOgAnmJ_@V}Q zKr6tvOeT1tqd#EeM`gkGU6du#sdCGMshS7>8k4wuc0qT1FA65s3Sf*;1e*-Qs%*^6 z=E{B;VD)6W0*R@oxAzlo5Qn34iZBo0sq6!tvZkKn*YY~9!P!di?tyRDOgl=9CKSeH z(@}+BkdpwAyA#&S2U-zJyo7Fj13=ov3y)F}^Ku#?yt3r#oA}60DsNvHzGyM!MFD-g zI0PF?i9;y%!WaMuqz4Dy=;$j-AD}#$j0&)ug0-u}S0sJ)bj$2q+a=*8=NZ*wNeKj4ZrqB*m=S`Y2s*Vfho z69-^txiw(Lon2iY&=CY)qNx&52cS-+st>16@*+rhf-xhMA*j3X2Iw8bO@NJs^QnXm z)VRQ491st{@SsC|_SLI_C?JNBhm+4f9oN-}5{Kqgu8SR2m5z2j;$R$HWAY#!h^oG7 zGIh4`5zkAWM)o`PR&hVv6P_!E$|TGw{*ou@CgqKoV_283G{5~?M#=r@?b~z&CCUEE zK?JX#1#?r#;Sak0lc1Az_{e;po^W+6kXIadc7OZFF=_wOCC-FA%0(jY7u7ejfP* zE?!<$paew9Gi}1W-7U~D0V_c=t;}p%myNiOAl09PJ7#N>48Oy)D){f`d2YdN6(ODY z@{kA6Fbl+{sHiSFM`LcDQOs%%Z3);?d!S`YG{VC4bT?GPKO!k~^#Dy!F|XWlY6C{F zpl{aJj{O(oClnlBTvWtw)pPyN4!?0sR*GHos>3c@0dWPzN-;s`eE=bOr9L=-fBVC7 zcD!qY;`Q)uri15p@G}fmMn*?xhg|>o%f}+1O94yde{|wH6 zSO}^C+HV6(g*NG3v9{`rj8FN1_(lFc7l1K56%K}(xw&Z0?L*%>CZ(j@7c`#IzIAm{ z3eb;A=M-1Pt_?o@WMo)(h2pN5;Q9cNP>|2x$}^SzYtnb2zW~LuOOR@y>wM^ogT!8o zloiGaVSq6jG$ElX{pUFNNLE0xqxFCfs$$ra-kt2sk+jaddk!+hV)-D$= zD<{`GHn!}f4hy+%0t>k##Tw~!I~Fhre8?+84)2;|)PObUZjN9swHvLZF+s;IK{eEe zflpxW2uPVM28+yKZn+o6J`)XWK&gO|jviyuiHl@pEEmsgQcbWMR14*`16u=C>TJ(2 zt~(bpZ>IrD`wz_+L!=(9CE|*AE(=(_4WSXw_SxSOonFUZU$=Ec0eS32a-q{uRvJ4Pgo!|uU$_4ez-g}DLl6VWa*JKTIXt}%3?b`5T zn~Y{EkW3I*A#tEX5&TrWKz|8<5Ju=31pX?JRAs{e;;UfO@&v#EE33adyz+!I; z-KYkl55m}`5rUuJZBa{ncRHfI16Hep8X&rrB=gW!x4qQN*UOq}3blrbctx%5n%me{ zZ21ni6PNSU4G$*CyKl$9oUk?ACd*P_kY_ASP6+*G?MTGE6xy^2BUu*P%cJ3`FG-nE zX8`%A1&?YaPy^g*<*S3=4{&cXL2s&f-9$SI&9~s_ijN0Z#`hSWI5CeRl>3Gm7N8pB zpkGE6W^`WK3I_KTxt;&&FREa<{`&zS2P}Zms)ziL@T|M94+T{O6<1BGVEk-!hIC1}J22N9k*1Fuc_!~CI*9!mQ_S88qz znED3{re;EBTmVSn_&F}#t`hZ;pgs=1sK`i08FZMdSOMc@vpV_JQrsRAFe)UM=zu`B zcT9{!*L(-(hZL<(DwOdWV4FbLxIeVHTo(jRfp+qBLc~rwO-00U@;O)!W@o{aB8_Uq z5Tal*Ps`0^*9SHOSkXJ7k;3Toqw7RH4qE>dwTg{C;VQ)O%b@h()41g&m;_Ld<292F zg;4|pk2DyaZz-vSakkkK9>ov1foD5xaE4JdMoo>*t7Ex}i=hDSeV`Fkje3d$H->21 zoDY^m4yFpINh1ViAkl!s0A|4wmQ>&Q8(7$2Sg)tOSn-nu)uxM<@!fRJBTm53HE#>DRLS(n9+SI!@Uo5iq>5>^)sK)Mx;Yhv@xk@xu zAf6DIfppZ;(ozCX0azNZ8=ngEC>Qk$Y%1`ehK0JVUyr*-PYcJ& zv%)z2;NW0*d+s|HPEI#pOx35=ey~xL#9iXhd3!@cPj7^|fZTuEg9({$oF<}30ICY; zYM3KHb$cNG4GjxGT#k&~Y`aU0>=CXL8vV8$A5A3=9bp!YRPLG&KY!X{dp*?Js%_lj z^CTH~Ih3Jhz|1G)O##a;1~A)L0HdhrU+nPnHk1MJ_3wP3Hv(&pVk;%_&9}uvkEXx9 z0oFRgOdBBj?(Qz&S|AL8#X+Yo9Lyx6ew0sT~vV)Nk!!@Q?uS1RiAgjEFu1iHxX?hh};BCFo)lA%BTN}z>{<4z&?e6Y5|e5h4eE5S!_=;Pw};YkEI`DYMh zjywTX)*47Ie0BVE*#Tb;@7#9oi;94+|4Ya#3 zjv_eh0IH|JBL)gPvGz{I z8Skk3j$%)h&>$3Nz-P803WXL3f44J#o6q++{75|?a0Kj^B08|Dz>0_>;^VQ-*Ic#NK`7kbcLhHa+l7~zkXr~GII9+UgDLs$1Bu_R1(Gg9 zR%N9Q*fQLphNE-Z08F~A5+wb6hXAb`9M|&reCH<8-)y6`Zn(DHJTJs5`X=oB>6S3H z!`|bx+z;pNq6bz~UX~BJRp+JlW__07yV%0!QpJEgyNq+rALju~rh_>UokO>^wS|aB z^L^uUNtk7a0|lA}1PVMl2Lf!V2tjB~hB2VG8dE@yMjN;XlYmO$1whO>gCs@U(_+b-4v>}=_w_SGmbov*q6xZdVe4{C_RQW<>cgs<}=Xw)1Dr92F7O_VX`)rV_ zU;{d6167gt5!po~A#@pG21ybs57cV_Y>{T#sLc)<6c;$a8RNlb+HsP8wT+>)1z?8R z2P+DUEkSV+cH`CHpYOtLASO=5axXi}kHw{tx~ER572>LfC6`@?H%(sp1c_fCc)X`|0iKntUz* zgeH_!DoNjJJ`F&$popUr?CF**+(#}VJzyv6wpx^sJ(wyg+DW5)X1Jf97w(y?OCgc0 zc*W|0@8Arc?nQt4C*bhid%#cSs&U}02e(UCcNhUOJefUKeoM%8{>w{J6e6RzRSm>k zP|8G1(9eyUy(d}7CK`Go?+SolW{zQj=aaBs>PDNuLU`;)HdF<)!-o)>J0Xr*Dw2G*v}@oYJc``K zR=up?_{f#=hm!=gib)}EI*6FsZI-+pz{Kw15e<$a*j~|sIiG-nL<-%9Pm~0g1FK4x zu#(F2CgT346fM+zGTLw6EMLSo`T^6y{=RDPTjon{7OLy)E`alMhS}3SHswDkB0*)pq;phWFoG+-Cp^xVPRsc>vq_yx= zRQrUU2(Ab|B((AD6#*M!36JLla%exYncOc$z0h0uI6l13QYM_sqJ@^oatm+VwL%1W zMw#4&h?#KHl-k9mL)z(5#Q8gW;yp}k`Vk&{QPb3taEiwL=1T2;zVH6S-O$k)_s~#WUT0pOpa>!v|zE>rHj^|BoFl7SKp3iJMkmBn!8MhHW$I= zo+b`R>AUm(T!s(MFJnllcG1YhWjBfK7?G{o47CHLrab06#Y73uo4T}qcQw6dyf|Tw zfgD`#-_AXA^inhYnF*d6d;`s<2TLA539gJ(8yvmMf(M6LFZQjDcOezohu#bu~11XxvN1Tj#oM{)#H71gF ze&a3aZxi~=O7^oDJ*v?Anf5YS#BupGJlLwA1%TU~kd7r>WTT+COv?2I1CU3BTI{yN zJ<7d4J)ZVLR#y=J+U>0r5|%NK&jfx9ER>>o5&JMpYES#Pu&DNpZk+F$zM$U^wd;a@ zNDhvF?JeYl`^c_MDAhcm+>Sy1$do=Dr1rIjfuW@92ocQn`8Sz;-pX7?w>7Nz0zf3zi)S2rL=eP>eaz!_;PFTz z!(@iiStEf%lb-61`6AsqcEcZPbP3n|gmi0-q)qZ`?~w@>xKxQD<<~b5T(NvFFExAm zuxN}Flu}C=E4W;G7P%?e%1O!C@OXLU4I#4vZN1f=(pQdSgPH!(tZOT^>1wQ5;Vm9# z$j?582QHLbpo@YA2B!UL`>hRzX}&&K0CX#9NS7)jSkTjMetb`6!6nrCNLed-{D>@? zb;0ZXh<9+3Uj)S8&154&iU~)XP?&D^$(xK)kNaIw7sho_gN{w}i9^WKij#4Nkt&}4Zg z#u`GCBD6<^LX_p0k}dl-_M_>cnlzTklZq%6(~t-)INI!M8QHglv7JKpe)s*|J_{?5*|C|PSWZg$rDXRe=h4k2xyW*Dh% zbpn+$*Y@?$YOJ`dzDh8bOW;VIkaKaU zzUUqA(d#HA$5SOPAL5^hSWj#dK)naA$t8}bW7UIIlB(!2dV`r?GMh4fRoCP>jYspB z+P8HYyH6@T+>G4#?TWq@HA1_EL?jG0us%8VuxK$*qV$PFU^w#DHU{J`~?BaJudgvwx=v zD-?wI4u|`TN)H0khnE?MTPQ4}Nh^ZB80=ZY^G106gzP56tH;)H?~iV;s5^hPLBMT~ zu*~HvoRq!B45bY#A_aD-1gdcFz+<)d(6fH6+;Sc*;u&FZQfj~L%w)cH0}~dZ*E3K9 z8=Gx1D!AErvPDSEM7iL|o;c5v5Ytx%q74^lvqHH9L|bzMHTJ&Y<5e_3G32%#Ddk?SWzs~>D8U7AG^n%Ah zl|~CoOr5!Hh4a&j6ShRQj* z<77B*zRURNwPR^!Id!3FA+%i-_WO@-e>-q7LdLa1a;nlvH!SeX&A_6_Z`!;P_f{P5 z^YLTdP3B)gu`b(lmQigUC*~DJT^kiu3(cZRO-tBQt%^%TzWJBxL7JG~@ml9=USs)N z=p|*f_vD4-pW0+Mr*QQm`RF8ODI5Tu1tle@FF=Zb3%SIF3hc&K2v47o))@OBSde`3 zX>J*t*QT%H%C)VG8ELvn1){QzFa!)1TTNfZdbTR^=2?S7HBA_BNWkd#5gyQB6H^B~ zcMnzKyJ1U0%jyph?0Yx-%fr>~x>qD+YrXYcXLDnpeCDr~w=nE-IYTM$uHnHofq;jh zK48|Wl`RXotU?5q5bBI#bDw)BM{=~ow6~{3FF`_#0iAc7N_JLHw41Wt+0 zv|SEwW1iA|weiu=J53fHpC$u^>fIP9^!#O@U@b%Ip_eI#w<)dDIz?YD{_Y3LdNHcF z8as>}J>P#W2CoqO;)UUZwTyh~6TPs)i8lqaJB)f7f`UWjxkHj5ozO{4y?_X9hH9UbDypqQ{ir9sEB+z_k3NUFYnzD zON#X7cZ9~9v|Da@Gx85#(w^_4sqqowilXyKA#!aG9crVYpuNnYP(iQ(i!4a!By3k zP%m1Cp~I^anQ%lBy7=ZTMU|}oShaeZ{fKEKccoybv`AL==$3hp((1#w_u1Ze`nJuo zbp3eu(rPYiHfaZFZd%P*iuAjwTvX&%ebE+a#?1+(U`cb)fLzN@p5c}cEI5&}K~BM) zw6HagXP5R|y6W}iyUHt?vz{0j(L#4t>D@$HF_d{pHr)51y;;o&?9bWdKU3@a zoBinCyIeV)f@SQP%|mVHj0^hOA6xvRW8;E!uMY67bb@bk@e=!|K0`;qvLOC=C`})m zf$1--hn~iNTsz3hvUvG{hd10cMB;9Q|J?s^MCPe)w%(n}?=$wZPWH+0QIp1)5~Zi7 z@0)zHF=~I`1?dDdt)5B1ftA+;O->(wr4cbO$nJG2HH*v99xde0kzsY?PN~E+jFw7m zK3#8sO#)IKA1Eo5a*SxxGb`PJF=bmVO%o%3VlO zg{y7QZ`F%D!3oo&e%pfr43lX>Fb9V>4!^hjAXst|)-AHSdilPCih@xps zBjD#`%<^-~OMF}SC)@>Finj}|Z)45}B%wDKYXItr4u<>ncN zfyLjvM}YVcf?DDAG(7w@zLY08+%1L=DXaT-YWa3<7VvK2!3p{JhtJOB@eh~B1hCdB zFT5~R#Gj6NZ1wpU#FZRp^8vjlv{}kVbGWF3733y9!3t_QTU11wD5Alc<&QJFiR1d* z7~iz;_@gN%|9sb*vljkCY5uR7=0Z>;2mjk4#SR}hL*x)MHne?+Zf~7IdD_9u0c8s# zc<_3T7rsS!(8^~&r;*_*(N2I4@Q9Is%5!WZf|d@o$U4#w8WU2{K7an4#>s-WY||6( z0bYX|Ouz#R3>Yh}f=CBH_R~Odge<;-%1RKZZR9NOmi@v7R-n;DDL|xaPrn~I3i$f` z$_?a5J{0>{RAT@YfZPd+N6grXwLTE?l$9Iy$^dd9qUz=A)o-E|1`vjJ)w%82F_fgy zw-e_E?TD5LBo#vYmxhN$7b)RL!^+S=X37@k-U2?BHpIfiW5D<2K2cTRqA*lF|6di0yYk$&i5& zIPmTW0CAwK6FYEX2v2GOg8zXzu|FEZ#v7hmFkNVX{lX*r+OI)gn|m*BkZG{z$?E-vl)c$t*#aZ{10NP+^6P+8u^`UZsO!}y;tIpPY& zq%d57XKZsm=U8GjP~;m-1IblY+Wg#Hc8mh&=5<WBqO(AW;kVpW$Yf?z8$p={ zVgp?JOrnvG0TFg`0>RH=Ng=V?$e}C}&R(lvc9WRf5_K!?1^Y@Q$Xh)>^rhZSs6!Z4 zb7@gWL!w)U2k8Ci)EJ~DjzpLVb9E5O#);Q0FyjUcQv!m-K++*pv1;x4XBgkWvAN~3 z=jOmkwwQJ^K*gl3oE1*+YC`eH^M;2C2U}kXq;_ojTd;Q<>`AdBM gGZg(F3xYXj_q84kBOTglvZ%Uy^mnK4wEp3L08=5`Cc*q0RDZ|@u{8*1QFfD{)aO(13!ZxMo2;Cv6g4j z=8TW4mPN|NsoIRY_LFBdH`rb?PdnVWEOSHlcX)c`K<>+j-#p^J8`Om4JVKq78?x{QaqU z;s2v=iCv)8z?VA(PV*x;I)h=oi@o@B|Edz*RD(~Ik?*c-Z?foNLB#pGnm=N9sXhPO zx8E<~yo@kQk{D?QKXhcJ-BdQIajiY^W&}e zx%viKEYMIAY}k*`sIoSm{87iz3f)5oU{k)Pj> zvc;jKD!s@jfQ$!gE=4YMEIV5-cg5s=x8fil9#)eqj5CJob;ojwqRg6(7Kvn;BGXuJ zK>?=yt9$Ed@97n1wl_CNCM#?O?5BmpsQ4_^8{5|VQ&rT|A{vhtLmnUNQ~da7#s(cQ zL6>-PIl4tq=MIg>*&-q$BNG#O;o&69tE;FKpKXoDj~{Q)4)gE-yrq_lKqv~$xJJWI zhEr|&k{+F$?e&w9yw^4`$WL@=)Qdt7$}?DlB{|p4Pz%_6j^#AS_7p2(N%4H*e_G|w zu5i-p0MB^y=2D?<$&-&VPb7~!)zC=)bL2^<8a!P#gnWJed*H^##?Tu)qH@QDA1;k@ zsr@+?-LdOdlBey?-5^RyZ#!$}-*X19vXvP=YrZhfr|$ zc^m2JP2im|5J1f}ghWKz&!1;6wMU>jBJWOC+9kdy`Eu!X0A`UJ^TeRae)K&9oK>N# zyL-6QqMP3v{nE|dePhBZRa-|VE;u;Y_0O-)5f{vwyyVc_#rYgNH@DhO{a(2H_Vk0Q zslw7yUQXjiL+qh}GXYkB*zvzO6>;DEVgx_7*hiyT(GV)PLl-9xs;4cT|)!#hejVE*U(34(SB z%+^ztb|>?Jq|b^^E2r$cDb?zC+h`{1Jc_|z{Mp;9@IC%hzDphu`5wB`{3*Y<7%5FE z&fLO-uA4hoWq=>071eEvC_H1nIp_f2qv`$fP+G^>&u!yjiLUbDoPU#usOWxK>bbIx zq0_s`sj2;0pPlvZ1Poe6Mk$pJb47C(m_z*r?+S1)eFFpSXV22HTRL817L^%DK#Bl{ z@mfl1*V8aVE^O$q@laeqKwy2hodHRvV|XW`-K7tCofx0&%4OHh@rTL6PEWuulZyQg zV75L#*`F-62*H}l@!o2FPL90Lv}2(A&g{&N7YMtW($ayGlau_whUvsS)e8#?y^j{& zTTlj(Fh~?6i+XJM%$=sx8x@n#3V+Q>@m9>&DIN>qZUlzPhTS(CTU+e0BzX5V#tZly zZjbgQi|&Ih?AkfBU1|&aduMLrB6)f*8B%fdr>M?M%&I>|o?WL%OIG$>`d}`-&*nqm zJaRA?>;yfmw%@{lQ8y~qX*!+R={w!Go2k`yS?wF$oG1ehzaL_J_9WHsAl|Ys>45?p zC+8@g$8=hTe8fi6#c9)iod0p0jh)?SIGyN_k;mLoj+!v-*h+8WzK8#z#~)8I?~C)p z{Z-W6-nxg}AtdUmwC1fHBZ4;YHLxOm=aiq{HN&5S*# z?l;D*M<@6k@7}#*V`Wtb9)7ShSFFTUBje@e6_r`zvbwPxXFT@t77M>w8}Sy1WoB)m zgKw|iaz(FcR8&^l?94XgJsw@}H_+3|lVQ3u%&*xmbX_7QLbXHQ#eGeo6L4&<%j$0vbPc2C}Qe+i8oQ;D6vepgttbK8}Iw2up zWO5P#;#TItTD+)7QRS-%XQSf7>_qz^@Ynm>bvqm2Pc}9;KU*i{opLvwIV%i(d1%IO z*+VHHD7f)^p+(R5a9yd7h=@q@lujj{S5`Ae)k5+KgxysgIJ~j8u5S3r=V%tS>=}tE z%OIs#j=?nP_h^tYGJ8Wi55BzW?&auy#v4D<6VJDQf-250E7JtO{rvIc*VyenKRraX z(Kyhmb6Q~od3<)>(9ko#-`@!)Yu)n6Ids2Hlv#mr!EN_@-0JHp4#e{;xrSgM{^SQk z-l6!#kP`Q(iqOnwkueZ#>+9=7Ni$V17!gfoRza+O#&@q@$s7ftN8$J!-tec3ef5lb z^-sGbMkCfDud?#_aJGu3Fs*9c1sXYc_*&n;SQPxe_;%yz_Hg7~dDq|bj~mYZbSLnb zzOirEAKNRs5#Ta_Pv87CLBtIq=rEf^Xa$02xmi1jO0tNXR0M;NeUg3Mmf+TGg8>04 zy%?%SGh2C(CDk{5d)r>20kv>CHm{?tjXl!SgRS9Ag=l{3A!fVTdOZsZi}SwUkB}Hy zKc>hJg0IHE;t`Q|EbXp=IGzB`3|My#h>?B=6IOYvASoy^-;8n{+k>Fy<9IQzQunRN ztfC?=g$9Q5vkjf5s1Z@QqqU3(W(7JrI&5muj6nJ9B=cKGNt~mHM?w>Y=6p311?{4y zwx09Ge`bz}iRnb`+pP8_=dJ43xfcSH;kW3zjeQJYbg>p$eUBIjNN5M5?kTx;-iv!0 zMNLDaX>1S$!Wox>jg8GS1A{~mxcW|NPs_{8Uv5oSuyJ!E1(1dr?}#W6Sy{{VDBO9D z9&CEFuURIyo37S~5c~6VBl;UQh3l}7fcm z{);5{&DR9<10b#CVzUFtq0#-T!yv4HU=fQbYiNK)NSx#va>W75w8y*jx~y?qB2E2i zoT2ka_-=@C2M;m0zvTt=se5tB>YoZ$-s~#n-=6|nZb1Lkx5BhI*ZQutfa} zzbNp$8vnqhYkbl03(n=g7oT?oVd3wKL>~J8-}*n>39jx^j=GS4wz0W&siH1m;cG?3 z@b=9h8R6-)pdfE;9V9CyM`>Ns=Rbdb+;F+(OojXoH^c=eepJ=K{!1;~$KQIe%=`8ekG5&*JWpuPqTS+OJxP@gn z^ucY!2tqp_JkjYObh$Awe>UMX;V!L2r?1&K5sY_*#9F-)!wd>KRPDv zW0woA`}DHZT_b7f2I7{ueTkOec_k%IAJ{KJP>bG=<;d>kE^p(cG!_V|T!4AL%`Ym7 zv~DY%wMuxXt*w2{NfvwAy*kc&w>}me9?R_MLD1$Ci2ny(pe*4#HnNEJ;qdk)r*}_c z9*tfjhM-@Ki4@#pIXg`$PG@^`3^s%HO8+du6(=xLJO6opk$qu8B41qq@Ux_dp&?$* zhRtUU$9?z@bni#B=j)zoz$E;Fvz1d`cz{YQRQIyfCsRuOvK7;JEp#@oUTJA-lkxcj z=hG21o8<5PBB;_H!EoXHeAmrA?lRQ;K^}Vh+2q^Pii*pUVBLn~rQzoBAS&hN%? zBLX$Zk}}dl>f7Je1rZCx2H;4M`j2DoN*XeDz{fQ<)4U)TIj|0JdKd>vdZ8})y+yze*qkY=Pdvu7~dD@ zSLoA6q^+!wgQ_yGrbd=N;xPpe1pSVwHslijUFfhLWIamg;4d#yEj?%K^uDNek+4n) zm*?k8TvF)KPafhzy}fVPlM@ugb{pRr{~F)Bcpmth`=O~O9#qh)zZ(Do%riUA?;trs z0pGvh1b4u`-rt45$%B`p@Fm8-Km6xgabVpuz`d}q`Ng#V(`2H13ICr<{GTTiqdFq! zlfnPaK%>Qd(3n10a0h3VMc%k0YFl(0_@jFqK6IA^WJrZ5>jVU_F<>E7L2B7lnygxR zz{yEHKgoH5e0H)qQKz#*|8gKxR!Ot{g{4*m=HTl2==ovt-mZKE{itZ75WBTrtqsNk zL9OF_n;b zziluo*4IzCP2!QXznk-3{(ta~=8oH2t2$v1M{kukHI~e^Z=L+Q<#t(--)r^>D2@Oe zpz_5nzJ8Ps-RH9dD{#hX-UY^%``vvE;v|a`|d7pG5V0s)qV77wVjXT z@c08hzVNu`;lr4_DuK@#piq9`>RK?^-QiG+hJJoC1Y*O#_x#;kdEn$Va;r4K2WWHJ zxx?>MwO*Z3a0aW+(H%bpil#;o1Y4WFLbv~C7fErGUM0F30W8s_u>RbA)WKU;g+MZz zxz#M&{bF4kCYYv(hxhJWqG(_znkvkkR_%T?A*;-P_9v8d*&j zmk{ue{O5%ds3k6DF<{Sq%e$WFmK|UDy>6nB#(lf^RCq2yqkBF%r>^5z`;2$XwG(vV zwbDM_CzYpLaTS{f&OF zbxoeq(Y~a-$@qAm6Eq7zJ`M}3rTd!>5VcWUdZk+Pv5ihkHvy6X`>BZ2JOTDS^D2Ib zmVpnv%pEMRi)_L1JvH@)HVnqMX#*NYYel7Q^o-ATWnF0T&r%LM&vO9*`W^M5t=Kum zwV?bWEfwtwY`Dc@m&6IhH|ZyO`F*BFtIEy$jChG#w*O!w?Ou0I$}^3vODai52_lv7 zVS`!=xNqzxnpkWT4Rf$TYn{!YI2 zXoRtQDbn)v83VHlN}haM$UD#M9k=THe7#{(5n3A=>~@4bdFU<|e;u)^I z7abWI`b>^_8ihoG?TH5F`{Xgy9B}S*P81wo^lV>SNMQp;h(1Lck0ujwBS96s$w?x; z*pkeU?`?EIeke|U?g5R5_`l1gPm-v%!a?!=Nj7pUw4< z77O{^OaiM@QrhVu6*hKr3sdHc-Io{+%|jq;utf&3j)Q}@ar6pjkM~^XTiXx$uVMDp zE7V)3zh^?1I?bQGD`9W&qtDBi+04uJ>KmmKtbty-FMQI=| z&}O4OUpN(l+m*NAwt*PmiD!xVE$aEyI$1vLyRVr7rk{ZGwFPU$#<`W19xjuPk-@<< zHHl-H(NTeL;-_!EGmVak?6~1TL4Acn(_b4>{jxa|jiaZHmVIE}Ybh~UoO32?IjOR8 z$s4{DVk1cvjZ|D~lMT5|_^$6<3Pc7u=q=7wU_S%uJGsV~_~VB>*%MP#TjM3RS^GDV6DbwlX}()R+a#HneEiThzVwGPV#f zXWNa+sjV?Id)!(>mC;bW(rU-@3*;-PnsWRywbkfhxBq_@HRsC=eH4F-mIrpJ%nE=0 zvnmc)cscj_{Lgb`EsXU-1hYy?)6*UMDSJ(AN<~gi&Of)~tQv|v7m2ryUHh?4aF+n* z`bjJI#mkquai&M04yKd<$)5xiDgg_xPFd=-1quaGe&XaULy?U15uIDz5|zI_{diSe zfUyTe272hDLyR%~YM}K1=Q*zNUH3m-B6yn|3V6NeB_7;f+EiT40o6H-R(^$FTKPnrL#0#CH& z`wrR`P#X&N;zLPspnw|mZ$Kj~johRscV)zizQ*|(pOn*!W*Zm!7)2M=8)Zc+nag>j zQ~f=kD{-f0Oj7Y}aqYYT6%p*A9Tp!!?3QsU(OoQ-&D3VHF-NqUnYn@Z-2**oQa%5} zpeEYKeX*X@s5S)Jp5@43euJh69lIo!(FOFNG1yp}LTiCIC8QLU`VAX`Ur{6317FH1G)B{EGq)hcw( zxicotxXAXt&ic_om8<6-jm5 z9IQU+1Pa%cm07>2KJw4l-r;4gj+>iGAHGeH>C4^(0Ol&#%{9t{7Uz)xJH&Vh^Vw&D zId6WM_1vLr(y1ZYpu#SNPSmS(QIjodW ziHw!wIWn76poBSB)V{`owM)WbI7f9g9AAR3}(oqQbc#k>q3)me?)iO>ge{K%T0e#A><$HG+oMZ zep0ia;Ind$R}vh|i~ALT!Ty5)yx}_-r2-)Yv%r8^NFO7HAZJjFo?Or$JE+udtc0E(_#cJS zHy)CZk&|cB`J>c!Y&@#c7XNgGw$o0YAuu}((;g*Vco6a39*7#s&YsM#ujhGR{MsNx z{(Y%^l$f{c)9m%WTyfg%frXZRy|^$s3BzJs0%{lMSZ#ab_mQt{O(csR+p}_WiybPo zKyyk5UCXJf@k?zRd*?piLdqm`)TU#~iuvM- zzd!xq_KgAA3|FNxNFu_y?wC+q%F=(l9gWtG3&S=a8D)G0l8x1mVX+3W-C1JyDvnBP z5+vL<9x>D%ZRC@U*J@8;$~CT5>DaTUeKhMTFHf~_$xsS*tKa(aCM$z)dr$Wx5u6i( ztUyELYU=YRX-7f<1ZUn}T}ii}pbK?-T#N@n)R-XGld{z zK0v)w_8t{gZ}P&NCM;IP)S}3Z-74TG`ExH1RJw=5J!l=YRUR;~;XvMl`1Aww<<6w| zK0*o-$euLNzNV>L$oY%`5=%XomnF_0JkM*NrQ|Asbp*}O4+ezs@hMlIgp9^ZPr@iq$S8*V@`yjV^`V~&A&9%sH%tYs8WmUzT zni%}AMPA07g&Am?kA%IM3f`ng6&%XKD6B4Fs!Nv8adXF&_DT9#3eV%VoBZ+`omT%8 zZ2iK4?%q;r=2@I50b9>Sg9`wK_Xe>X-Cfj;)rG%g&nIuSsSUi{y~VYGgdk$I9_Ysh ztJM@ST$mu}Sb`!@#kGp3lHS})o>o4IZ84#ts(etuv^2<#5#pftZ#E%(_as4&ekA44 zSVzpVtCWN8#Jo<#-C?jaaXgv;G9d*muE@pnZP5K#xy+>7x_arv8Tqf;wJu)eOcs?F z7)4IP$RU%L)oae z&dm~Tod13=`7LcI4PbIf*&b^2Zy2x*);DS1cx9rO>4P6YdL|a{}&>~}B_%I!v91#&!^UESjZQ8ce z)f=IELUt$7m3F66L8cu$q?zD(%T_F}1+<0bYv}3KoM8ga;7y$oBrlbH~Uw9O5-B+eYBOe)F{|DR%!W-sy1FQh3jxAw}fkak%;4q@5k|+2OHOC(S4sD(g zIUK7lE8w<4+?(`>ed$d4J;}?t#s+Jgu(_SMsjbeFisI@;Hkj9PIvh8NFXr>-l(`U^ zg`vs(x}TF|$`8NqjHul**=R+mP4k{Z>mX6w7%mSaMA`-D_9cRiK8ypGwpxFSu__@b??_w-O- z1Z;~edlN+GYsFJGzhB1(`4}=8089q}&1|eYHw&!(3u#-?@jnV=<7!fkd0jtJ5}izU za$f6J>(NR`!(LYnsDawrAJz-X{M6dk*6}tr_sx?oI$1;khvV=d@t^Ef<-Oz=c_sMA&Q`Rjt?gv^;OEDVWko>HKZ!FE;a)le zWR}h80cq28!O=*HaBFLPnHRJ5WO+Q`NP>JN<^n9`$SC5_qCNzD(!gdYwZNW(CKdR6 zUKN?uKMg=^AP5IIr<=|2uy}q>lwXFN4uI;(0mw;wf>dF?nfIw}Y1f>tiC@4kEkbfO zB_VAX`O#+aXI|}gZ6a@9gp9ZAqD&&NtUr75d6}77%ge3Kb$h&hF`4VbwgP_MTLHEQ z$G*7!uPL2CO9TZXux)Lm-*3~ubr7O57OVCk?m0rRZA~7>2P?{3O(SRE%2`1?5bfV@!l^a^?NGpD(9QjKbByTnW`O2@+`D-dFxYsP za6pE|?;S5$GH*Po<*-dzjI`gU6-}4v(GnZF>(G9~ZuX1?7_!Z5Jv%S`)VOZ3$E=rl zA#ThZgSu?%IK1(B#da;K|JNZw-=u22nudncSZ~a0LjdZGe;`qCO#d5=vlgBB>~O#T z4aiYDZcz0Vz*VE$uhEQd9ds`5c2Y#VoE_<`b;kJCDYaaoh-kM+XehHLBqZe9b^w-; zELxTAmd4wg+ZK9teI?OBE%|V3*?8DtOq|<)ozkn9OSV?6D;T{NT;sxTqxHDybX@sg z&h6L`WIFKeQn)NwP5@X=?SCVvP3<^PAUohoc5_lkvy^nQd!LUtSiL`E*cq9gIOmSQ z>AM%NoKk7JnkVw6(*Ky+U)bPL2JmnqFS4WE$0}89<5Al*MyVSxOUS2CK9W6INns*-R-$OYxWrYvz zvi0!dE)Mw6?9U5rm!u(FT!sWFRY7nKr?pnb6EP~zIym@t>9sEmejG!!DkQ`(NW?7` zUDDLMHfZL0yiCN`7tyNh<{qTE)lN_vYLmHS_5Gh(fG;56j@*0ZQ0DI@H)teqn`Pb0 z8>BN>EQ~QXqpd#Ve{a1W(S931iC4_sgGIbbl|q0 zs|lUHd;fIxjSN#{NhnBIqa(^4!d0LW38O*gB(p0lFW)IN^m1rBwy!eyudsLd8J}zE zJJ~2LEv+bW;)kb~DIZ<==MexD^2NUKKwtb|TB+8&bEtfYu00%)9l9+O$Qk(|zozCv zMZ1dew0h^xA!taaCP?l8IjI&5zafvpss_C13LB zM0xAfYYgpYyjEdUtBID%K(qv(%x(=@(1Bxe3ykZ&@#Hd`%`f2W1TO8LXmzf%L0p$E zF$zB`s?y1k20F49X{N{lKJNP5vF+TOTybZL8^M$7kC1w{+nY)Pbq6;a>el_<(fl}B ziDK8**SGZ03uKFYnz`k4E25p>-cY5@3oPOqO^TYR5Oo;a^^Re`L-Ehc@i0L0c7bRT z6*V+$xqi7cX-ZVusx{bwxY}M&3jY)Pm4JEHmaK+aQ?&c3v;KQ#Kt8OLu=wYc5EUUu zhAll_%{0I|f4Rd1t%|~8EPyUTzjTedu3MO;yA+5=G~C?iG?kQmY^bz3$h&Lbve8GN zcH5C`@yfujL3`Uz4S9(f^~SsCA&9i+j_K77jQxBiQj6-H2fsF{LLCB^r5r#1<$QX| zNep&99aukyY>lpex(rEei~K&up)zA(b8H(*NtmoTS)0*u=7MU+K^Y~I*jmcrceYy@ z%B3~|E_(l=L;Y?rA>p58XRl{>!c33K;MXGBGfsCdUe_Ce{4rcTV-KwEY=iqY zL>mlU34iS4hP5O2&B;Q9ms060((YQnh4@DqF|rYvj2nQq(UXqRG4gs0_~9Hpk%kMP zC1~my|1`er{D79Edv!1G>sKlG#oCB+@+-ipHtvQwkXE05?p}`KR(j6|81*~Q8?yl; zI^YG_XY~P0Gc0_T02Q86oKzot03rcX+)1VX{}}1sI4lav2ymfjw`?N_Cs21&VSwY z^Jz`C0Wmy1J-r~2sObVTwXwGLbc&RPI&34w2P201@@s9-@?P}S<8vG`a(n@A*ZFQL zp^5h>kGXTJ)qVXFTMZHj>(cYA{P<({;~gQT3FLL<}D z1y-qk&lenZ`7C<|IIE_kCSA9I9Bvedu*_ZFQL8k<>mG5y6qUC3;?FJUE-4cKr{PV7wQsZ@=cft z^4@KwaO>u*V!ciHS69aEf2=eE)MLEFwRoXg*n1hWwoy<-Sm*_}F9plpCA@s;k2hbU z@Fqy@?GaTey><-k_sAd!h;qz8~V;kbR>XdzI< z5=b|2)Pch7=f{TBv1$0})?~F)MvCtr1;5j&Ir`75K;}aGdG)&vmTvzq;+^slrEwCB zDN>#JrUv*@Q&Zd60g^EtQ_~e&gC=+b37yDi5#*LT`}HepiF0S!Z0vkA0$R_*pIcj} z0ev3$`t#?{?JJkHbalVD;rAtb%))1jO{BZob=T(yK<%Jk>zbDWKd~0yAJGhME%kUO!T=56exR2>?Q6P@4uPqD!|&`Bu|EBi=p7>rF_Y~?DK z9qRJN_jo#pobLe9A|Bp7Hg?g9%buBzGLUOKoySWcivwuKSkfaGW(D@=1p{qiG!_0A z@WgylyuPPyvaV7~zV+#^KBe^3Us}~!FV{TP42D*OU}V8U>19zZDb%7G6XJ(t45fH=~lt=R(pR*&Hpj-s)>r$pizl?KQS!S) zI4LN=A?LxUdqNwvD0}+fIZ0Vr78Es1kW|q(4yBSW@ek`(&{H}6T@QOZ;*^TK9om;l z%KEiF#^S?o`Yj#FBkn|fh`DD(UA78c?MUZiDjD%Vb zAIlO_ngU6#S-isvT-Yxy{Ik07v|C$Hn}%0Iqn637E1B>4L7L~$1@%(SPG!H zyjS9_T!Gec3P$aWrPKi~&Bpd5&kUQ4%Po6b1fSzW9b}>0juNxJhjja&pIf&T%nBaJ zS}Y^J@aS z?fbS@&Q7;p3P)#L`U=!+Dk)-m#f>KjkU&@ZQ;SI@j+(biKV|$wMrL8D%zf|C>FG?z z>cC|a2m(98eM)V>?=+Z2)t(7+kUFK$Fw4`*BVe0k^|_r~}A&WV9f8?h7D3EcD7^av9HCh=UG8_R;hzCt-@B|lDkjow*N5A>}73T zUDg)LWQ*vf0OCOR#Q;s=4OnhwrVNmH4_7-a{n|^OoU#DQcfsfH3@s^x03ELT?=Gvg zhXInJ#(I&EVVN${AT}W(oK;d1L{We#UryZT$`J7haH%ZPip?sp`+15<0g5_oZ*WKz z-h5!041E`O2|kM7T)ekh=T(s(}KvBr>E)IDj&!sHX0 zD}#5~5}Bl?gYXoab)Y~rUJI8GV|!ZX=RLo)`z@5P`JIavRPKB1T&Dy=7fH*}B}xp? zvohUKON6-;se}z**mt4!v)=Jqxn~jLhwvUWt=Dbs0c#C72Y!2w&XMf(K6AjVI0RMS zgj8<=N(aCX0C(lMaaoSBjY7))Df7*ocf6~&=Fu3ZnvtFRZP>;Gj)~j)$%jkZ@|#pq zbXSHc&C37Sf27hU+T6YSipofg2V95GvY+Pdg*4>o9!?n02!zzxm=xvv6;}Q907#%= zzr>UDZ-i-@dHOFq#v?;%3SW)4k((A z-o0Jw<7I|JRU3AH^;e+IC^<&SFg=`yR?&Ko{8npcwm}HKe5v71U#r>&rqyJSoyZ5kA$bv z(w~BYLpS(I<4Vf(gShUjAiDmImbl`fz>EH-{9E^Sl^T$J>{S&#a??tyiAksI&aKJk;0=s(x6&p zh-4+#|9c!50C;HDmPu#(>Q#9jH4w!8i>+%sIB*Z6@jz4*|C@OSz#GZWqf3E#Rmq+l zs1%|2I{D8<6B1Z<#C;DAA>d<5F*{jRc%iPdMzqZ`mcjf3i?_EKytIeID zl*NucyeDONuA`$f$!`aSPQaMNln!NpsolS0-Yl2NU~V2z5y0H_EaOQ2GX7mbY&eD- zq1;ITm_pRm8PL&fbyd#w*3>@Ji;Zz}?_ED#xJ^cOIHj882a_wxcc_PzQE-f*`X%yo zJ#<;3?O~Nm;6Q(z#c0~)UJrb^Mus?tqP`~Wk`AS?p={2wk2z)b7N zCJgtzo0gMaU=Sot{a$wy^xo7rvJTX$@z!Ow_@ykW#sL657>-pif-Zvf4+O^s{|O^7*^tL zU>@E)U+yX8sHmz!VNQ3dYIuRkfPzSW(ru;S>o8C?I^J)i2rMp6K9a&s?CA~liCay1 z1d6og`;;7AwUVmFLWqZEZ|)*+$(*CRmxm57)-Tp-j4_6Er;<^N*`Zx|CzB0xI<2~v z|to0pfom*d&-PYId2YnQnolH zy~Cz;Tke$9)Z(b9sB-tEocChDT?m5sT6kO!5lt0!#LW+HetgT!Zj1Z@(0@eUdPq4b z6|f!v+N7m%kKluwf-H+ywUDddJ}IyNp>cKZ#Ue#$8=quD?2N0BImAeZ&-?Zy?GxXE)!$s!+Bm z=e*ahS;4K!$G(jPN|`4ZdSdcJn(ZTBiG%MrP||2;G;Cu{c-La}r{*1i2WwLc6^SgJ zsU%`D?WQC^_n*nRlq~LJKL)*=uC@UbNmhf7SHpReq)L*o9+<16#}X-^nym$D_x)c$ zo&cuayf;hQUFVxYV^5BylE7NHR*nFqfu@;HvV9(IEw}7m$7ea7)TqTK*(7!Eo`v2e zddcow2s$t2V7L7+H0>*6>^t~n7sKzi;rb8b5=d}pJJ+bjC!xHybG{nPP7Wru@(Io` zTF;&#K*6!+<8=265HxphGvRCUQ^(Bh=zw`03S-|iz}j~6gc5nH3SKGK`Ja2p&vB&Z z??nT}8;`IvZBLog&3WU=C(%`ND*jbvTMhxQ7gi_WhJn+~Zr|owtMNO{dF{q>z_kI~ z-R4C=vN@b0Ue|YYohcp67})-W=8KCj4F9e@1-r5zKjyzS2Bn#|kN+SErxswodDU*B zRJJ{wZrHABCL0VJftJ+TJq|FUK_wv%8+9veVrpv_%Wn}tN!t9>8dg?TZM?HU?5nL4 z(Jy=vt>(Vba5(#1j6T|wGVhb+N{GWjbJONKQ~c z2OPB^^baELmm|3vV1xoYiU9-%*tqF;js+?C0mP*Y3*D9Fq158{k7{^%H?EZbMmCl-L8KvLD+ieHsIk^ zs8&5ZQnd`G9s)QBfGPRa)iN3K6x~am-TE!)^@;?E2KQ!xQ{TqdO;Vx4z|}xYaPylP1_7Gbrxj&j8R$9+eQ72^!Yc z;p`KZ1hw8$yINPNngOG&IN%knT$^4n+$Saj*%bhLS@8XQV{FY#Blv0{Cl!tWBYtE5 z{Y1{~z-??^6{!71v_Q?Nyte{N0nm(e!z}!?BDD8_oxR<{4^v{6U+%nI1!fL@V%U^=r1x#^sWtA-2P!FSjShzE%=Mm6 z-fn1|x+!uX`<$Zk{2U2zbWS<@D zSSHPZkby!@);o z>d$y4L;SD1;Qo8Ep+%i^h|*a2)?Yk`*bo>L2e~HWr-=s}zdE_LrfUQ;h_t~>85pul zal(AOwdH*{Bcy598WKVj^R$|b7+=78Xe7<^kua_#(E-f^oKJUS1NLhu1NpG}%!iGT zV_Ha0R@;R_lM!9EOJJ zQw|s28-feCJkB8AVg=Fx;OIW&XJtJS7|!O-bgD7bi<1Fx#mSZf18`7lyB{IJiU3P_ zEd|I7Z-q&?uu*Zr zf~^l?$FhjVMa!9TvD1PE878g>mOW&uE=M+ON{;{3XM zdJbrXn0*vEIsSeigP7R7pQEpYaT8}3$iaYir@WbMjQ}GJfTcC3l!&)fPE*f%UZ~I6 z!n4T*#NfZG{~2tA4OR5YPWQfzFr;G>zLR3bqO$n(PsMwCnY z(!+m6ji4Jx&Q#irs2YF@od8pRG+#RbQAr8-69UCJT_*N(0g8Y$g@^h7mYx0#(l~(P zM7;h~>+4T~m}Q=z(fXpKKq(jGS$hAo8~1MR4j)usUDG|6=-ndnZ`4|h3xDPFIF198 zr>G>KbI`Jml8Xrg!&N`tAq_tx389*|V8&PWUphO^vqt0sD0|-+8i2x9Hf>Fv-(9Vqb0p{UkKOr%T zBg`k81}1X0-d_8wNRlCmf&?M~%8B`OTdWe#{9>f{KR^qJ!T?yA=3_8WOs0pM00Nyx zKk@!q{GE7+4|=NdGa2DfUS$pQbDxFyxS zXLYah&&j=b5V+ep@RYjxj_X1804H0$hRC-yPbeuk1g8qhOliX#00cDChcSP`Aet0UQ&zgDA^J_x=r;T76RJ3$R zVIezUY(5x_&pi&I%^8l5S`Ggoyi;ElaU_6IdX}e^8CU-x7#2Z%^;@NmP}?NYoIv(I zq?kwc|48DK`ni5 zqBRO+2ZxaC z?A9mT0apvuI~cBl^lzhR&xvVafcvY*_2m!e7S*iaK6J6{{e<*z-wwrKo|yA$zGw@j zitOx(a23(~GkxQRjcax0+U30!WZQ|_%nedZi%@#QmQ`e4JPp!#|NEDR z89#qWT?ORUV%q6Wu(bH8*}mu;jhoxGWv;7~tCyvkzdX$uE`gu-M)tbPgBQP`plZT( z<~W-1t%7{pmq#(Gq;_=#CTKblSJv7(W2zCm;i)MafQ&us3{UjgIhU(H`?KA#?48ln zbkXrSx0~DFzw;t>bd2l6@gBul87voH#8oj_lxeYkkBfR;Dd{%Ynisvx$j^154-dy% z=0aI^&WuZ#jDjb%WT!9Y50nZ5>*T)nUFSwAP$z%=MNOC09d1IJnva`;L-cZZ_DOy-#fae?Sw zh@0c=THI!|s{X^9ad^_3Q&mDKjpy8py_!Bu>AXx#swrbM#jj>5=P-3yyW58o=ftck z&}E)raAIp4lLD+~A1QU~OUqnz%*$q?vu_d3r*^NNrdL%7@y0*6M?nr>iDxnEPl@xl zra-jpZhIJ$6OoTx^YSy8>R+1wjw@elXW3Wq(QA+Q9))oDhw6nOns6HegiddQ!08${ ziQHhI|KY_8ZA*U{Vv;*nId?0?j%TjmT>mWs)FK(V4Go+_>l;yK>#ksG$yK>FoRyIZ zzw%bUESHBc2?M+km7Qj)(YbF)4?lW6UXpR%;VsIDMOq)dDjVQ{uk|d&mcSWL{viozAOuS^4%Q#sCd1O+I!2 ztTLtcUrSj0)W4chRP-IqJ^zI)q!l2(Ksl!2oReEn4Z86q?yu5g_(b25H1SRfsofiF9?tMu$^8QZEsM@ut{6#)eU-3S!S2Sp<=}FPM zeKlt%ywCANJ+Sv4o37{5*B6wrS{;Bj2Xxw*P>U$Z-Bv)rEI~kzVzN}Q@hhHiTLmM;(I;|qYBED@TFLizHyLq+K80i z@5`^#Xh?}xrKTptX(@B-F5CU(AtZPE)NJ|DPADJT&8QF z`fSV2pUN-d;zHO|{|*zAk>|>`=i(GatHX>ls+!QSO_Q_vNYHheC*W#smWA|f!kXOT z;t=rR337gZu-k;VY1f-Qf!uVNLWnXa1->Y+vHKGl{#NqFjeX7F!SMqr-_xSv*b?3V zGZyHL0yEf^-b8=uiB}#qN>m!)o2%OvH7^-cjH0X#vgjv_8ww==swsNE--)}UO(!zb z#}gMf4XVTpwxi^FR(3A@I1=<}o$K$zsFD-m>OsL!c{&$*1#ee*M~C_63FGbkUGvBaj1~Cwzh{wSD>h^*`^xK=UaYaE2>^w$d9+O$rcAP zJebpOz1%JxUNSK@?bvn6WYaR>t8>gw*^I@{orQC7x|Knx8|*B4D^;YcmsCMuScWg|RBG9)sBOv-<; zZdbBbZX9Bj!x3RM+?~Fk$-ao2TFnUrj4&`e6#h{FyU=cQuB!+g3OPrMJrY+}88fqt zJ_d;Lo+fz;ZL3{B=|rdf&H_gFEPK=fVPg(HAVC0bx8=_Y#tZMt5nN}UHczD220s71 zP(;89i3crp`oPcc?rJ%i-VP~NiQMQtl(*fQC^`Az5eLRAj3S^b_i=_Zpnynz2e_T# zp?qpYYO1T3n9%;Oao(ko@x$1;U>eEY^*gY~P$+43z;|X7@7tj2S?MhfGj3WZ?FRZ- zc?IZlbVoCq6+6?|Y;Hz~oscJ%2822wzCYIyQKfb|AQnkH|yw)nbP| zn!AC;eu6KMv9EEju`kuzBHOWk>tO158)T@=J6FCK0&={({MCn|B3PuV4ln}>aB5(K zxquhfbmN-5VJ8pS?Z7>3-5yJAJ!@rY_1f`u(0ZO=5@`;rbN_kw;&jPL|0L!ERg-Y_ zMf}lhkim;>mPT5ljg4-7hWg0hMaj9k8;q~PU3@n*Q-j09!@=jW1V2f;4&uUYUDIjZ zn}Ex8pqE~1evKQc*l+-omq?9RAI@n9G}bdPI{RhK-Mze>0yA8zTk3Dy)2H>5z2SUN z#LR2@H%scr?0ZVxF#3$l<*^G|q7=;39nl#Obv=)JY?q`NPM3JK@#Wn`%O1uJy|_5}0uU?;RVf z1pZIsDh52(*4E(F+^mx_%w+rfk-C9s+4Q~8E0Rjf%X^0KTgUXiyK0i;R=@tQa;`I~ zsclqlAMd^WXJ;fk$zE&CJ-<2E{N`6-dUj(B z>3vp9=0GK`Zq^$^mRwue>iN(=OmQ{}{Tr^jkIK$?nU|OdMZ(u?UxP2t%@=R4T%Yxw zF`M5fcqJV|8E_3p@Up0NM-IcQ*Iw1F_Pg@${VR%6p#Mdo5q3aDv+%}hdWXsbPfYYz zc~Df{i|s9=fNr>2poP|0fA}zUv!G((f5$^v<tx z0_~*81a-{x&?n36sOECdyPM*Hcdc+!mT&>W88NVp6vl{pnZzP21}IHpu0#Y#e}s@mY>cdK)MHB8OJ;HrL}m{Myvu+--i)<`GLDi@|z8-^VP z*WJEeAk`6q%)3RunDgg%;F-3|sSng56=^#CYYToivJ?7sg0Y5+En!um(=M8k5%S}X zZZbghvP{zwPtOT)ID6BYY!wyADvaBp#ifKcd>D)}t!j&MHcbd_R5-1llf3XXAlbLV05r28*svX8 zD7@`>yk|?C>%oIv7`=4H2(`fT)$e`0ZKRoV^t2vR*KmAQD?u1HU!Ja88^O5kk!A0R z9gmR94V(X@%k`5;E7a8eMV~}EmVd{~q1Yw3Xxe+nBd#R)gXL$Z_l4Jl_?Xsk=JP#V zw+ZJVn@A0%{LhApENqlC#L2d{ev?WxV<;nE@mSOWVgucoXg&Xhn;;dv`u4`tkNZ0X zcCA5FrjR_q1b-CLxPZB$Hs{!6ks!2M>x8AH$7VT&5d*ulu_^(?^P*V6ZHMKw!2_qK zZ)<;Fr3!J}Ylx{JykQ3*^;*XY>}Eb0uUf8f5}0I(OS7?w_KJg%OTo5|&mZ*{ys(8} zEMM-g$e{Q`%wrhH;R~YhfUXFMm~qn!J;o=(XWCjzu3FM=s@`ZS$&Ng-(o!YCcW8$M ze$u4!k-dVC?07(SiMH7GgO9kkJ_-@2<6~o2G*+9Jo%(pb*lasg?b0geW#|-T>m{xT z>q%LgGF16?#%q&EsO}%D(bdz_2s`%qb#>}n;x2=_1L0|1-6zJ-o1+Zcin16Am2&JP zEvvhl^+{v32MAT354RJBAn%k{gaPn<<1gF%)h!F`AXrp|s2Us#Vrc@PwY_fI-u|S6 z@Gb*oChD5u`RH9mf|;4%TNBSgsuc9>*|3v7UK$P$NLV#f#J0rU9W}7O;OiA^8Z4X#{|y9Zz6MCMr@Oga@csISGO_K0hRlZ;L{XD}xsQ*RDIR}xcy8%P(~rEc z_wr^0UD2try723ybWMthjhmK=O?dTWr9k`(bwYijkN;^2H8n|US>UKTLD=mtq|gPQ zm|iV~pabtSFA@Lj7~_mpvMF^q1L_4ID=epb>rgDl^%T29F}qMEQsI#C6Rj;m)$-cj zXIwdTlGKWC^A|EUP*RfIOP#QxDAoXbfZK|H`KQAvgH9Y;C_WOyPeDdU6KOQF9OEWg zNY3;g-2YlG>(_j}k;q%1r&t#HgD_eQLO!VfpV%qA3Snny_?(To zXJ{Fit?j;HDy;dJwj9ZYg<#^x`pb~eY7R|p0H}qET5?k~hZnY5MVF5lTqm^Mq$xI3 zYIC%l958=|x`ILtIX!tY?TdmmjT7}q{5|_n$Z-43s0KqG@D!aSh+T#?xrH z)xmXd>$1n*bU+2P1(1b|xEL15T{T6m7TE`jF1vX@qV88w<+*H1y=YUR~eQi<3>)xGVJyux*BpFCA|?2L=k|!_kR} zq}s?uGjDH4%RD38&09TJUoQ!eX7YU;#@N}hQE{2wkAh4FSuqw5leYRVJ#U9S$FM&> z#f(PG2@SbgyY%wK{>>`xY$7knQ$-#ed! z(Gmjm)^cnkm!=vz#jIxBD}Fi^QRLD2<^U@S!^ONC5ip}{mnEH1>CTbAEr299nP!}p zmZ)3gl?IL^XCCr%0co+y{=EX5VaG++Y~6q!^fwXC0{^^$Y8t{_ZDGWRix*%^SDM$SY#2)!65^eT#E33Gy zEy+7?V4kdnkn%e_%Z&A(hk9ePU8I6m=nI|s^0&w*6QaeLwIczo_ROkDcU^X&OIVoz;2Qa4xMnfr9Huzxr%LIgwsi zhazX>I>nF6W)Uyd%}!eByL#sHcT&C_5FD<=T8S#Eg?Z|2oEUP@6G zhCEoUe#g2bN7Pu}XzS;U8{T9ch;2UJ7(&)wH-ts~N2iGcn^}6MVQ}wU*0jQm~hv2?HsB_8`V1Qx#d~Z@?Vw$RB#Nl;F zva?6$^`{{`3}A33{H}#x)5U^$l;fpNpM1TSVMml zg8cnFm>Sd%euu?@vqJWFDO%Z2@H231R{CCD_+Ru@M_a5o`Lp`>nn-)9N~plj7ypWH z{Rse7EesqQ^BqNhM}6|XS93A9mH*C<&oq=7;sFh!dxon(aFiHBYDwA{;;RZd2MdA18C-n zAWv)9rpux@Jw1QMmDng&N_Y_yJrl+MXZ~z~6mKJR8A$V0Zdo9HNeN`&bl6oRxqC|7 zDtw*!H*BZ;UJtQU$W=pNrCI%;#fk>q)vJu?)j1T(cAqHdQ|*E7-I}SWDKeCo8(}Q& zplb`^lyPyOhRc(Ea&rH~Cj<6V)@vvA49P0cl%s89h}WOp3zdm-_fpt^i|}#1IMawi zwfFQ$@OZowx);mBZP~8ovs%EF&#f6vlwAj?Wo2{047h~JG#(8L4qix^0a68jQm(B; z+So9D#qU6lo8_vJnp;FQ39b*c#W5M%6*d??V*1DNM5s~7fsp1;_v}@~)m%h1 zYUk}tgx^4;1KbKILnc+$PWlmHeH)==L=1Flu}i0+Bu1ob_cZVpnHW%1gxPfs?mp=e x@&KtHo%0p23=wN=?`80PHi`J^|DikLDqY?`PVgtbr|@0SF;i=khd&cy{sH>zg)jgB diff --git a/notebooks/figures/05.01-clustering-1.png b/notebooks/figures/05.01-clustering-1.png index 394bb01d55092661b052b4b58746f96307c154fe..ee05c3f8eb27b0057f9ec30038e1ff1a531805b1 100644 GIT binary patch literal 11301 zcmdUVXINBCw`FzHLIWZ}5hP0%kRU;V1VPCn5(P;jAW3pYpoxkICNKxlyJLw*G=2e z%FXk>izRq;-_6P1(aqk*oW;Y^#nr~qf#nLn5dRfE7Hc;*CrJT;e>dQFba^NsO1l3I z02ZKfml{1+c)nj_Rud}~NB3H$-hX>E-EIX8!gqp7>rY4>c z919OQ%sX}d@ay!e7{`9S>#^h1zLvAKh&wVFxT?i{jsyvSpmN{xDLAVVIs_U3+9v=7 zz;guv?=)Wo2mod%FaThj(Q*JZh@)5lFk?Vcz{k$~zunws%Lf4tmx*Ne0%eXCZ!Z_O z@w?)dSH^4aacQJPalibqBjt_=oi007_jFT4sSnQ9*mt$`*$r0F`sVMkT)0N& zW6g=fxvSKXza3>8+~C{;od=9P7hzYuL!TbH|N2HrcKYB*l2PEO8}$NMgihD%h0 zA9nOjH9o=hY2RLaXL@A2xJB)m@O!_;#B1u5N>3mGQHj}Sr1aiou0*+PsFj0 z`L5R{N&A-hpBzjq*Pk3=*%zPj7Iig8()V|FPc7`8!JNR?J?OE$aHr6u*3k4|cwoD{ z{^(Yx%)$G*KmFKvRZVQ|PSRTCJX3p`tZC=9t>GP?oonbrbNX1gCcDmZF z4k=03IrYU&-FJF%LEl+w10RMp|{w*H?#bKpD0FDBmXcgv?H$yZ=-c+`<1kuBRY{zA#bvp=!+dk(!=-8u9z1BBbxBG|(P4d=xAzh5 zvhJPLkvNT9I3to!`9)U*`YLpxmJ}Jks_l90T#ZX~k+whI8$4^7X|?*4-I7A0s1(iA zzu24GKQwen#b+r$x5Q)B5VyUZS6Fz9fPg@^zM~^miaPwp_GBR`D?eeIH-tIrG52!d^xJ=9c%88%N~AksZ7D|OTU!|%)P>$ z*Rt0AcdHFQm<8$;8fHuT?o{kCA}48H28{){Ampe=${zI==)UXg@1MnKfpkt)vww%T zzdysb|F7UDPH5Vgc{2jk^QAGv z`-;TyS(UMY9wI)nJJcx=GL)BK?H!*=#=ghJf<5hvpS}m?*mlMd*Lcf0XJSqyl zijO7P=X5RR_PYz=9wj1!p36B{o!Z13~N|{6OpuB`V=(>-iT{V0`x)C zn-%Bz?oNI#01e(Kmd5UlXZcj&A%sLkZ8GP>Z@YfI9S%3B&9)a1(BeJZ|-^Y3_N%>t_IEnyEfTem{w3 zUQr@?LYt+6JMgn7xAvZrv&raoni4w|@o0^BZkzYv8{}t25QJ5~tbLB!wB*mhLI21I zeICu2AiAxl!dwDtgf1vgX<5HS@%UB4B=7xe?&r?+w@Ng5JJXBVYwGLkvzU&i^38Ah zlAxHS;B_-V0)|=B!CIT(oO;>LE`uZ*&Cwg5g+S%D@fJQtsoK2xIef+Z8HD?Mx zo(E=9>b`_~pKYXuJyx$HyvdwewrFr=WW_;M6K_2|0$nEZXL^{MtMweGO-^{Fp+v4G zH+NcRg5Ps1Q~%q6ENmcy^Q;E?ltC%yoayoJ1jA~N!t(+qMnWZeQjBrxoOn}vS4dgh z&~katNGA@lhG$**6MElB``U*6RGm$c&wy6HEKW+=zo7|aPV#u z=Nzk4WZNvi)Y~B%xw{_;LJBH2+D%*I*hoWz%s;+%sWfVjc6{qB!QEb0xTZ}&VUJ?b zX$o~bzEj9xqc5EysvH<3BMNYtsIY>Rl(djJ9bTof($Y)kBjQ?h;s(hIp?~`M`O(qR zc5Q5YAS5L08yLuSlN{?B9upCzb)`ku%h-go!(T&`L!(!O_Z zzuj0WL)7}OF(T7ZVM#$f1XLcStuG_aU*^H>yubS~b1Eav0~wmOR+n*`OpXmL_n|48 zrtVa}QWG)mN182X3E^eUu3W-&N)!t!Cj1t*pP!Gf{8O*BHJM?$ncyXiVi!S31F>QB zv)E@+Qt(tYtoN_2s;-8caoKu-)Nn@1&lb>qK0|@zvXpv?mc36hN+rCB z5o87XMxO-O3;#q^$DK&#EcP3>AM-UCQKQ+C(*1sfk9e(`P+j$F$gwmit5H<)yOFY@cV9d{YLEfw`>`iKTSus=GyHft-W#B2eKv| zv~KJ$9+Dp6GnM`DK9IIKqs35sT`H4mem&RZJE;Td`@32>Jg=Lkgb&0@A`S+6QYX;#S(q% zh*UOCbrC{r%Zbia&aOp{Vncz3{wO~E9&6?&2`yP;);|h$mntFT#$_=deY@K7`5vQc z#W;}T)kJOuPMhw*C8@JUmTK?hmkDdBWce|eFhzT036<;R&oiIwJz0+m?mZ-Bv4=}W zSuYYeOw7>lq4;*!Cmu!vHjc9b(Mr`g;rz09(_i~h0JDUalhJxNk*Rk(N_zzrW$4G3 zw)d6mTtpMYr9>}@u!eS~*Q(h}&HMm!09$I?Je(Z-_+V*y*-l0KeJahQp%mLYeXPfO z^=Vwk-FLobHU4$L4C#Y;Z0%EjGegsQvB|r%`Qdw`%HnLL_#>xlRdLdS{$6z&TQh^? zz$)V0(yE21`jy1KZ{MEg+9_vi!8nsw!PYxAwz`*}=#ty;%rY%sN+VG{$5M)|@X*ko zB7WX(*OM3{yEo;IrREMig`v6C;L#>ic&*recymGUnyKt%VIVB^&S(Dpq zgTvu$%*^B(8ylfXnx>{{J&PqXrlfLClo({@U@Ww-5Tdms(lIsxSXJh}-``p)k@26*+;2;*){?d??@!%QkaD@y@_u7RFx zHAZ8CKzfWZilu^Qfo$~tlslV`uW$AF%Z6`1f4;6iAU8>9M#CXk!SfA&^GV%ny~2!s zX(bR8!N^ik)c>i(iC=cKskcD1LZarpTm=QDi|T$wzj)qZ7fo-gD4gWrb%2!bAomk0 zG=T%jUET(Wi}O$FXl36cKn}zT@QdQM&w!ahyjK3Ju&}UKs@WC>@ym87vv}nUt%t1a zD&H-%*x1-i1PH7RIb%0#1e!bOS{a7~#Dorx=3H4$t9y@S5upV`nE#mD7T#ZS-p@3j z&siFaJqRMSRHWUgW zO*A?*a(m(4>}_bkggtp8DkzvJepmDIELxpb8_qm0cPXs)=cdASQp2p_&f782?aJ(jGK-4% zzmS6#N{rFmjem7{il&(tb+0rnjeX30z!=30iY|i6AK_zXt_G_*yLfndmjA?>V%OFj zAfnXcYnKqpY{;LSenLrZZB&_N3KRW%_mc4$g0cVpEEASO?zIp}R+tqQb^C8m8hi-% z>7xVlt5~HA;u4t+-#ce_0WWWZqHj*N@!ANg(4qGxp`HJSywpKk+T~W$oMUy|_-Ev4Wvz0ai z{I~&Z1I^QJz3`MOz+F+{X?HYt;s7jYwA^K??Xf6ZPr|syNmYPJb0#@m)+bqfjgf{D z2@anF)V)?lgD42ACek9%2;i?s%!f&NojLw=u~r?PZoM!uY>RKIcuD~#AEMGRHXcQH zKjrLRxqPpTZ-Z+TfVqp{)VID$^P47VRV0nXR{_Qwzo+`nx#ylb3ZVxL*F>%pJ=NCk zLjXZWMBekld*wWd>hRb0@#E3u*;nGCHyHuwrNp#)O$HK)T)C17G2&&Dn!*2i5BYY~ z_}ZqI5rqFKRY;J22KIS6w+H}hCImM|-2D`gbHx)%Y+mjWGKb-iazfWyIdpT0hn|J3 z5`}I1Xy!U@?_$LhZ8Lz;{Nx(pFQFZ*EhGrjS<5SlTS)34JWYizRdnoj6cN8ji%0qL zgMxz|u!od$T@q zQ(>EYA0ldi>9YHE{>a=ZsV?Gd_zl}A=Hg!2uc2k*(AUB9u5a+!C}x+;0Q4IEg62)O z&-p{g7b~KfARor?Q~iX(5T;Q8E!|cOBY}vB$XgvAj<#Z>BcDhylPveY%^P;!&Q?p% ztIf?#^nFaX$}DepgCuUa@1lw-XDr=?3!6R{0EX~xe0E)3U2#iCgp_bhhtw2g01U*$ zZ~0w&kB=BALVzx`ZR!3rWWN~DbizO0yR|do=o)?d8zlxba2bx}ng_w#yqC_A442x` zxHiZ~K?^q!&72ikaCp_?q4!bDvK`Vg7hBFy0I%mCiP!Qy7;0l6p1&D!KDC!kr%IJiNtmGt z@z3Eq<-OXG`BPeYbmpuBdljl_q|sSeW7=$lC`1Z*RCOrS{1bpt>?6C#wF-DU%szV zBRn|k2deHCzs#|d!ry>z4YNK}$(lYKIo#BFXW3k(JcwjQ038xzhF#RU({xc59Go(o&A*^2V<@ez@cDY`oD72MVY8bJGa z-s(@IGIQ|Nu~c|8X}U@j(A-Wh36|59-_fY=z| z*|s=k_U(lF!<#YZA{BWZq>w-`HTildoHS(>I2YZ5TdQ7=KR#%`I-#Sa^yCRI5}?Sg za~#UkU>quE&rAPV$b$4!`SwO5`SOoM;o)M-h=DdF5XT^LomBIXni-m1zka=y*{$qc z+}nht#WI3NBa{fB63%9^qcyonbOGdshd(}evQ~fM-)suxz#tjBwxcya&v4va|=?A25o+)N!f8U7Nj&yw7*a-JSPC;3g@U?4v zD)X-@l4>(5f2Q~Oc*asZ&LEXTF#@M(ZD|n?u5z{Y&=}~lmHBt5JP5N@+uIN1KfuLi zlyG^wG9pmB-E$s`0$-ZKIe)QM2j0-S#4ReU`lTaXC;anUPU11X4^vZ9JtuDhj=iOS ze`6c2^(}{Mg^^1(EanM&YA^OqozvCiQd^X*aCuIf)h9{6Kil4}b&w<~MC5AW42-l- z*$C!a8bA_-j*d=?Coaa)z(nAZrhGYp8+60etqHt`!?Q}-kPL(g059?>#F1UwaCawZ^*KtORSP#|baq*G|oZ#`rU(T@4v%eUl@CkcjYyg%7VUGbRn+yB`2Yuh0u zUtS+6<-7A9hM+7_yPwwm1-eTsD}9i-!1H@3!;epLx;cNj6o|@0y4e`+lQ;2MhlaKV zI6qR=v*iPD7n}IubniJ5fWF*8g@0q}d$qN-Wa}Y1Qi-~qMKSksGge+D)lBy7w!1<1 zULC8}KiFCA#p@a0*rH#Jzxi$<0@-qMeL^sGKiA%3pfA=yTTT6?^4FcBm}Cx~`uL=j zy}FAx5DPJC{N1CKu6U=ig|v8fdFN}PU`}hWk#7}MCMCpDN_Um6KDFn^F4;QqEs!J| zP&e0^hCNuXpIFWYV5w`NC}t!#W7PW4BPO=mnUmxe;PKgNzgp^d;1L-e&707c4~ZY9 zXkoU~K)!jEiaI;Ti4?jyL}=SXo&I{auWg3Z?KKH3_3N9?DzktPO04^3oqCqC{yRU{bt)s7nl+LvkBhYHwb|B z<$qit@4|~yp6e#FTi&|2-eoQB5J84`pi+r77!h12$*@2m`EEo1BJ@;gi2m-QZvRq4jy zLo}OGl=#ORKv2F?+pKAmQX>^<*EAp)cd2Dk;Vj1gaEAFEHivTofPd=kg%pY^PHUJ8gxuSFYao##5^M~^ z9Kbl)&8i58(BRP`w|d}{vv3#`5L9~jFc)S}iOA?M2#7%7*K=MX!4R)NwGv`Hz-ADi z-Q9f$uA=qSmrzx9sw5ae2HNB!@DgY9rK_qBoSa_Vp(D(II7{%ErNPqrx;|8WjPqW% zTg831P<2$=!*{FrQCO8=N(oA&w4rzCUf_Xjqo67Q6*R_-R?$Wd4-ro{a+4`D1QP+; zr+4UB@F4OlH`%8N^;*9%_MN zonDcV!NB~d|0LzZEs@~bmrH^nJy0C!>+N+Nzw`kD)HiRKO3TYfj*U_{2{0RQgc2x> zKx*@y-@(q}*YLA{i9xVG{k=q=r1yD)_wYgqJhZE1m_Y+GS`J+b#ReGeMGrSUG-5@! z_7Pw_od}&5)N27KG*B$*BpR^@IdMu1h9^bl79rRmLQ-hn+!Qf@q__`>=ZXEEa@7DPWdanKNpUHBgAKSB zqaFlFf`;`4M9|E$vwdx$EcNP|x!38z52!=T{8PG_dqTV6TBVK&&nXHox@zwc$D^nOAu0n+gBS5!u34d*hMZXWC*;cwGL2r8n% zf0qr2&Ok?lz{!$%O96JDE{c{De3nLEf&hgI^em+;t63(7 zfBX;vd6B>(-4?+P4`L|ZmiaoRKilK!Oz1H$pFsT#{C$Ll9}mdw8n5|MV$;G)8TwwDz5 z)4o&h%o8<8U-ucaBb1W6sMXoM3IpDlOWS2U(uWka_xi*$t#Ey|iz(t^>z>!gYLOVd ziy&0FwjB$}+@D3p)vbi-f(fcY{w>kQKNtuwt=2(jUiu`P29GX`oYqi5fI$SwOT{G9 zd&WGQjZWQGa|tl#3Iyj^Bi|I+>gInHn7JU%aSBYHyGwR`C2aS%n=S_~MbqvSd{oZ+ z`r|P>6twGC%bb3_D3hxy3EqL_)x5^MjPiHCIbNp(U34fG@dB-`jpEHgfm$UPeOSO} zq5hyS{m2$hBOf%#W8MXyDYb(Yh0HAQ1j+@-2Bx`E6~=j<8CsM^g4a(NS;W6M#Jawt zkG8`x;lWv)s<)2-B}m7?kP|Y-Ij@(d`R=E0A1sncF!eX+wth9v0t8QU2#RNp3o#VN zD6^jnztJiq28#nt`6aS52T+XXj|SHsKrjRyzQ=i*O45b;jO4>vwqKTz;9buF)bfW|=5L zCFSixuIIG^C9%7mv?M2JAU+vs}dQ<|i}fS?vFdt3ok z#YMZ@8X7L=n80I5pV)65WC!4HpRF>KIHU$l2O$W2H{1!wr9Lcnm025* ze|xF?HlvF=6R|rY*$6>HDCuRhCnGo06yzCWKgSd(Cqc|4fhRC4#N zCil4-6I4kS4D;WxR&ogb2#|EO}iLkp6A_oxZjSXkVk zF?M^oRxuM*CA0JEd#uk)w6xR)R<_)h*?-IAHHmlxB}+)4 zRUNEVbEx2tlO}9jyH%;hcPc-aYv@B&A73svpXzA~^OfOp$F$?U7Fk~)Uhp>c% z!5`Oq_wMDd!@33Q?=c)zC&vfIUW7osLC6b4Rl?Vd8>l}nJ!cL}+fI~YI^IaXgTruB zg)hKF_Odj@n<8xnh6%mjXt&o z@?nfDAZmX>NwxrTe$v}r3b6hMpKh zbub%sp9-Z};*#AD$5-M-@K@!n48WocJog1xi68RSo%8NcPO*VAnXj4X&Qiib(PwdG z=#!+^M!LuPc%eYRep^uhGuUJ9okaX^6*c(O=l`do(EnP{ddytTLjOFVN<9?7AC;RL KH;UxVg8mn_eQ6Z{ literal 11016 zcmd6NXH-f`DWY znkb5rvq;WU{rk_GH=o{`S?|LPYq8LKt4@Vmb_~R;@hO}5dcg;PDWDGJ!y6F z&?#xwXLln)+0bJokEH+LHOGrEP9j0yHqBd@Vgtp`{@0jnuQrRd1l){rZ&ti@D(SaS z?uQnMFBd+ddU%nkd~W6`iLG_+t53IF38cfknsV72)b*;DxcK1K$zt!6P;kCZz zGk)mVXeLroo~2NAcSUw&yS_nNTKq#FDF97O;gXbanoV{@OaK^PC7=R;mjZzV;BpWk z0w7Ep5CG729UuUhrosS#aX_MBbD{r{=7U$a02qp0_gVKk_#4}pZ`u`8bMoD;@whUE z+aMR0r`@-IGCCS}vT^NHO(BN!-Obre4?#h}oW@2Yx9<+JxIWS*eK_&7J7Qw_t)aAf zKZd`3`^X^b+UX~Tx`P@ z3xk-ueedQcb@r}9xQKm+4iG>jhz7ZLQK$kL=CmTe`W(7PM5b11uxIF5EuCy^$ieS6vHR2S>IsxFe8Lf2)jyndExT!(;AHA)Jw50CEc|J2ql zGJGU0-O@d>@9jJHGmtLbGD+CU>{I3Z&y&@k@B8L)BO_TUDU9I}5qjcni^o9b3O^d? z^NWrq2{}l?jfr%gYI+eL{}C>}%)C!Nl3Twz)oH%BN9T zEZMDY`=O8-DM|U6w)=m_1^w@Mizb&bYpwM3`S(3${){9*$CAPmfR8s~yPn(I7d?3J z#_H))sbCqY{_^EZ_sErdwiK2+fR|Fi z80f$2F%#r-{QkG{-MeYdAOwi5%7&BlCXW<>9 zu~cl%D=07smTBfAV!3dRCCUa7MgsEh5C+t$XWwD>{(8w$k@)N`u^8W%r*~XjU7^z$ z8!OP^oZEa2QU#!OVrcyyZ?T+@kJbB!H*Xpw?k_IurN4Nggoq#mb5GBaxwOcI%W=m1 z_0Wtf$jOm|)782wn(FMS-|_4UzXXs91_8B_;c~~XTb~A~fwZ;@m+>|MsN(%+4lE_( zXNUntgNO+~SpaOI1LIaRQ8y|b%WrFM9~vH3HaD4cDAr$n(@92S z%n1Ft%6mI~VJi1g<5wiSv=dVZ_m7Meva=R6cvskTT{*Q#G0h<}npdFEdD?>J$3^rp zoHCogY2*?$y>@RQ;xNU!7W;O}Xyxj8o*=TO`$SBsVV>+Wc6k#Hf(e8EnHu9uAv-ezMd~I@Y1&MeE>4gW5AUp^m^DN z->#izT>B#P(a zh?r#FOtjMn)Vv)b&0O+0I9wn8BIEhPr9$sQ>4m`Y9JpP@oT~`72oUh~Ppwe|J8OSz z?!2($%-c^{S@QwvdX&|t$(|;w(toFgRPyE4*vHy}zH7+diudHsS5= zcPa}CP3)uj1iN_LvAPRyFx;mbH`)b-g%{n~zl9p2Y)`zm>%N~e7AK(c)>u57lz2_Z z(Az!mc}(lP*N(OT`z-K3%Z&UPP zQ_c)we<&r7rQ%%K5{H0*^TY7)9+o1f%*I3}v!@p2=VT}m$U+W^Tetv9EM?NKUnU2* zqE9YML$A{*(L54$FGoEtY3($YO^bNBR@hcQ*+{Z7=vlw@IzEn#(~Tf56cCN*9Gf;c znr11dT&=A0`$ecM-;3>8BV>*0u&`L@?;e>I2VFky$r7isTt*EayH(7&R#;p6DAKh? z#+0Dpb1>qCZZ=zHerC>wM!DPws$c!fsJLi0^IL3`cAinzTz`!+&nt>%aKrl5;U zLGJT&EY?{s^#TWe{4kvKn6FRax+uJ#OcR8Y_rI^oe+SNOpyjT6^~VGgnw1mB$_Zry z`JA<3yUZHsW7zsML+B zQ!)v4gU>XxZypt^uko1Y9VA?_Tltow(bDdZS(}kI^vehophoF1oHm&Dwz9 zt(7)8JIqF`T{4kkbY2_l`R~Wd1fz%4&In(;xC2i>^mS-3n)9(R7d7|xi!!^Pj9rvX z(Hx@lKH0QE!Oi07+ zG+&FJ^Ch;NMw}AzVf0hIRO$@n=Oc za1R#WP(pKE5eJl@&!j>5^}sFgjB zWKR4dI>MQau)O2_{l@#3i(FMbg!Nh!$uPSAviG>E(1@pDk0+*#3r5=#9Yq+DEej=T zc19~BuV>j)OS2ag6wol>m^>OuI|^2ZwLVYxogVdV{|dV1dDoSrdl(=&2&nX96)P9# z61_OhnRIoZj@N9~2$vz?rB>gz8aor&tVX6)rUuQ!CmUnd?>8w;iw-|mKbo_xm{=@NlFE?C~hOM5n_J~qU6^z1u zmq>1l3jT-~?4A5>i#jCQ9UdN5O&+ohx;TPx52s^t|L9K4dV?SG4aMuC~leeZsMBz9oHxnDZl3vR>K?@$RI zkHgr;qYM#|Ts>xoziIJ3W;QJ{f+(L(l=*0edPn@OqfWbFZmXoxPkL?F91k2e$9PBZ z)xCd^Ssm&wD`yJZn>ak6?vNU7pEYj%ek55yjw&`@Kt+dKrOiV1M)-3u6tsO~beC1%bYVhf6PQ zqdCyhA@H}8=X!Leg6RBE$8WW%`&{7$l82qq$&VT-@b8i6KL$EWDs^j%7w;R6e4}BdTS*%1-4`QOi0Vh9;)Tm{Y>@Kqh>oLLl&Qb2JBb&RZg?L-SbVC<*vmOBq+7w5e;M}Ea_MGubHuEjuFUq}{6S=Obs%|SFoQn#Xqep8#- zk&u+#Bc-jhI6fdZHR_768O>~C8{;X`JQNbz+?lW&dvz_iuov8x22zi1CvOxd*28H1 zdbqGY&l>aB^NMQ)zoKuqVmxPJkEQ#b%-G=ojtF>S}r(KPH3s5j0duP0d z_Ys_jiJK40b6l?BG0q4jQ$T|WfuS$tkw&OSTz$L&t49Ce;I#WrTgTlMOVY^IHj8^L znyb@OVUyc7c8!L+KTnN8I)Ums5}mD6Q6ZF>Fkv%RdY_j2*=>6N$#=w=B#}ji$-_oR zt*0eiqlJ|NAB@NelpcBe=;_hs<}Kf{8T|twRL%YNwr_q@l9GAlf$X3p<#p$s)d`b* zS`Qd*OR*`XV=GBxiJG?;#|3-M$~;f@Kg1-ZMb20}$aW8luJhHQoN(S0Im^;Lq8-vE zNFfUOi+awpe(67F_|e(&T>OlNj1QkziD^$g3-zopnJHGXbMQe_2ZDgyJ(rtOnJY2# zAtm=2KzA!Q?@-40jq`OPe9g9b-ghdq2{ASBmKEi@T5Rv^EJ0H3QV>_+?omkn&ntNP zqj3}k5Fjr6on;?+6UJtk;YYXJcrG+0MlG$|~&1DI~_4W~ncd@Z@cp-mC9DMh?Ka z)3aT2g-mdY77l9qD8gwvoZ;yHS@gGxo(t2{CY9zp2#EWyQ(b)yjPK?#K5;eQIsaZ2 zI$pqJuZ3#P?_KGdb%b|0Vmg)ReY4tSfI&yEpWoSkCyaGlA5N2A?<*f-Bg*{zxxOKc zW&i?gK-4K0!MmudDgqDk>~V;{`kkWQYchE752&&$D_tQM>Y@@j>~7fDxYH&6RDIDb zH+uNe=c{<8Nk9X!;@Fst$HWT%;rRG?w4&~AHoHr;Lt5o)7Jlj*_$L3E5|Ii(ax|AT zMhm+Q4w~${=e2}$UrxgAE8?MKcd+j%Wr@_IfV)6N9T%mrv=B=psvhGLEZ^-0r zo>kzA|I7)A5jr&li#F%G*!fJ{s4`)a#`9P6C0T}a(%X;u{2xO`Nk!FLR{AsNk+u6? zHT{(AB3B$bI@>$QO-yN2J%x~|wJ^_-09 z2d^;UNL+cb)hdRy5HeGF@AzPSo!$goMh?iA4(#n|9WsNhh<2#C0jp71z zp@(fUSF`KY{yx%Ps7+Y_s34pNdz_tJLbIWDMcYdqvyPsJt5pJG-cnIfu|76u&*{!BT3T8zfg+27(`)eqd?SrDB3HReStDw*;CwQQH5`O)xt2_Fr!4<`etp4z zF=8_jG1d#`wzmrgnwoCG#Lja^$I=-S=v8zp39<#7gdQjOKgMrNb!Xw%3EN=B$l6-l zQvH+MiWeDj$FWmnFaZQq@Wk6WV~&U(%Tl_tvt03{g)pXSESYZZX48AU1e1Gl9&rc) zu$Nm+i6AA?(Zd-x3VVq+y+M+B8_N0WIX8;psOV2Tc#f{Naew6wJRHe8@r;ks%dcqWc*$4F`x zp9USleRD3>PnRYj`%V=MwmMipEX>9l4e#w$dwO|oPx({!9!1Q-R8gAi%INt&NCcB^ zh_w912u^^3lR|03U0)$4zyB5aE(c@8;a{iESKlGgMU5x5jNX4FxgM87(7A@=?-NVU zO7WB@y~K(1v;b7>o6_=9q?f)p&vs_;#fM!84$vxG8G>;5{COqp{lNv+}(xPF?M8vc3Blp+9 zx9SU7Q5}jF)+;Zep$sd2l(ck^Sp&CL?qaGzdduSC^LB<0h%DwigyqJc2^dhGnt56U z>eABwCkI8Rx}t7tLp*-_3Q9^!XHa4Q8Ev`jv?3Lvk?FZJDk#EvnNHYt;{G^g(#>lO zaH)`t;|dM1?>nA3w==jsjAZm$xl_MCmnh=8qSKU4h_TPvQB`HVo|&YM^6GSX%^l`s zZLO%JG)#WJ{)^n-fs4W5y?o|YMUjt9?=HNw+x^m%i;%LCT4(|)@!7ti(!#!XNrCTQ zLQV;xjPt=(ar!5J*Ki6_xM|}P6Vb{l`{EZ{{$=S|P%+>aybpS?9K*d zZS7t2`4_@=B05OfAj;FvrLW4$%JjInxS*%4D&oIW5%3^D`({Wg0`v}fej2u^Dk!P1 zuWV+LWzFMsbC_I|OC^cJ{(8-$04 zFIJ2g4#IqQisush>h~Ir2=Rk#xH5l6dJyn{E9m9;ne0TnHFi4UTy|#ewLLKiIh@B2 z@+%y>+$!v+nY02_G6?$NCvb)tQ>(rdly14jJKM%%*ZQq*3Y#Puh^A+OnV+m(Q*-$% za?h#SQlGD?sNjfK)P2QNWd2l0PTZ531_O^tEf!m0-p42?AYd_B>*5KG`7>Su0qPaz zmXGLDzu#tl1Nr&l;sEpzbCYx1ii!nk=YL(y0YfnPzOm64I-r~)mNPf^@c1>LqE{x= zPR7Q^K($j~7);}}k zXhvGC5Ehp0esm09uiG^2vh8yF;bC`Q!su=yuD}27tPRXx;dxO=Yzu7C!Wk`3j3P3U zxeZn)s_c44;Mt2n?db6OBQPSf!!a&JOTpkCd<#E}so}*hgIOwP1?WMxU4`vqH!PgB zhDkr6eM?6as~{iWM_NO7$s0Fr@SnQ<{&Eg~nj|SHL71ixK}*O;Ru$o_%v0ip^a$~9 zU%$TQHmDUar^_!XQG>~MQd?tSEcB)ct#h9l*nF>6i`;_x)xb6#kP5iLOQi+9#u*N+ z{Qk8`tjlaCjogUqOM^OhHKW7v5dua!5Lb}k$(+F2tniKmeF_~CUJ+V`+!Cr11#cKc z+dBRLRr8euRs!2#ne)z);vYsnDJ7O$;%;;4RVqeEob1*4t0BNIEupZAVy}Gr%ga+! zKQOYd*n%~I<@4tQTU+I})xU_7QC?a-Jw1g2Qbb@c{ri*rsHiCM2&5WK4k$P4p-1h0 zcdDI@(JS{m^*uhCm(b>W{ywgoqYe&++1@>TSbKMK zaHQ&$fwBFgjF=|zlRcBw(GuzQHw+pI3ZZx(d^{*|tnp7T%v|sv=?nr@=-(Y{zITtr zD?Wf47UB&Os21o_nw(jI=b^x;(Gahj!S9%H?}s})RMO+cPo(kv!FA}Pw?3b}wg4H_ z2v^njk9ZyGOYp_c`AyH?!K~%aIwJ8oeIRw~!u|fkoz+43y|&9f94qE%%ESH9ZS+O` zg0FQ#zL52IMssZM`kn5=z6aRGLu~x|Jk<6C1QzU0ckBqSG5`Q?Fj1=PH6Km98%*&# z@$i}DFgoWc1OU?va|w|adJhUM%5ci?j}RUK|5s(rJtj!&oVSun$E@*+4I8uU6YwOu zYgPct5cquIojYkT)7aZ?h2i7uj6Gv^coPkKlAohym;|qOqG(NB3m-!u7?c35D-vJz591KJ^>?F zWJhIbpX7!BaQCNYYPtc>0~AP{EHNYy_CQoFFCO#zIrwu4f&9}C5tm#k8J{a#3Nf(5 z&j+fA&!^jZI?c{P1%xBsx-5DBT@tkl<$E6rfI-25{B<}#>2S_2G$@B;C5zL7Ci?sR z=&#jkV&tG$77$2%QWdkw)Q5vN(Zw`jsB$aa>A@5k0*Oqs49S8)@H_@Xm6w5kcvTS1 zd&wXM(WDPEcS6pOi2)VH_-ZXDA%N)uwNAIkX2N7Z5e;6dCE;JnTtgrqoKuK3B`HQQ z=?sC-Y=PWeWmXuHqlHpM#9a_Th(NZTEA8StGYY6Eh?p+3W^;GVk`|v`*dYVr*Z)He zIO7x^6)EEFRS_Z4@JtUg`CY6)vvXqOkKqpE$f%dTN%adb(}Wk&uH%I?f#3A=j$HCL zFT`AjH^aiSc5HCjxYLE=!ar@-<1g@zogv=KP{r7^Mi5xTI1OQ@H}x|(pD8D(ambdD z7WaKPP0y&at-juR$sPQmgWLWXs--YLmO5XL`454n_b)x5hJaptvzAsh$1D_|7~3Sc z8@mnwNeaFez=;s8sY*n?_cfwLhZK=lJdsaT4E0-sP5cWeyI=G0xtwRv1i2d0JOa^V zjzsgy_XoZ8{O75B)?kt=CHRm=jC_FXx}ITptxXrHqjjAvUh%+n90dXx_|d#lIkji6P?FUc_@=an3N19t!rOE-!?ET!!~9l#4gDvyQ-Ak z2YXi$NSCZ{W9PB8alf0VEiD6YuP&Ro`NhAi_ z<8qumde%-_TH0A=86;wjn$^)1!1g1O-X%Ro%8WIz9Vft^UtSb3dCVVw&XjLhP{ei% znX45?@)gm<)eXh5(ZHydpwrZo6D*Xa6~r4f4Z5vyLnMz%>$KKRHr%DufAA624BW`3 z_oaDDi1`VZyr3hbo=l|+v^6LXt9wZtW?s(=ao&*G6l;ygX*rCIt_9*uo?+sx+!?GBjgVPGJ z*n4$r`s6_JI=D`qG?ZXHYTu}wERwdkxahI#V0HIn4EXIl;o;EV^^9-RHKC?Hu>KM* zKnfs538VB7NWvX(MNZ$RSREHd%iobtEx!`exZSs1(BN7Z*wK( zC&2}cr)%-^S=pDtOGzNL;BH{WhaGN@NJvswu%4)r$Wb(V`SB@00(gOoNtmHJmk9y6 zVjDK$szmH40KN9q#9>cdvgd!b`1QX$GhD`FJ2dlN@2Nso`#i%T0{mfwhxercRgI&m zdVRf*h>PWy?Sv#p1#5iHIw2`(%Xyv-;1!xMV_F#qMu+nsXL+rS&3JB9Ojf$d!4~ho zlwJmVQ0u+?xkGNRgdz>nRr1U7i6|jq;?PKy*)0rSX!H2l z+{-UIW*t*|9b}(ZFy?)r8svFt_Z~d7`0REFR`PJHgdTi+1BgtBe6r_PP9ET#{mn#C zpc)p=Ob7f@?UOf8U)rGd07!o5TF+w#XE~C?bLTZ?5KLi6G^Xoz4$eX3N-O(cFvacq z;(F=JaV}Gw!@W0HhFo*qZtSn3LuIrQD z-S#$a3wwK>zb}{mcHh7cGsO?ZPi0keUz*L2)6QJKmTH#^ z(_^WC_baG%o;&E~k+(_vj{yUWu z{{v-N|9Ph&W&QuH6iYS3)2xQmQft2}VTH-_+ z;=Yjf>G4{ZJjlT3!>pb?lZo7FBBWe^$X-&P9$arDqrxP3LrAIy;WW$#rNL?xSmCAm zbFb}Qxk)<(jK=kwy`nGy2ouxAcuMbcIPr6M375CMhFxEJBf8fAceZQ$>x~GD4JdCG zU4#`^TZ1ZjSgam|`MD=^b|(*h9t>A)1@d@H7S->J*B!dKx#7!`EN$o3#lYr<5iuwf zcK98DFPr*sG{YL1q0gNK^(6L7q0c8OZ4MyAc0M`sfc0>Sumr7Op+-Aj=eiuestV7! z=Tp3F=PEh03#)gf0WSdpiLv^-UuTP5y^GrFmyXPUJ84kw`Dl82`e0GTFZblccha$o z3%@@QK}1FNU6+I9U&))WVk{_K zn*;0WR>vz88uxqboaegfChc3up)^ZE%fJVo^M^f%>TRp7uY@+(^_WqrNWl0Tsi0BgDq zR_*-qt{qLCwY0Sz4x!=LTFm+&U#pc@W;Md?vk_`E1UX%LtdZ|y{Lvhmn6TQ{g()t4 z?cEReX>v%rIWC1Rh8i7xw3Fb#SXg}ZDmkTwtm6wlvH4#m8UF)!`oB=fxqo^;c4cgA T>Q^81u|V#=vP_|r@ymY$g!Rwch}&--DPlh-R9ffe{cVb zy<47vneOT8sycn-tyAYETuDI+1(6UD3JMBE`m2Nr6cmgo6clvj2RPu&=k>*E;O(8W zn6&B#;K%!eX&7*f;P6$;843ys^X(UUa>e%vILYVoMbqV*y}66Kk&_vet&xj^jlGMF zmGMV6Gbd*&d%KV9%xui;pFUc;xH#~$u>7A3nC+b`Sh$ex|3X21gp!u{tm=_|wBqie z>Uwi`ehX1hWC>a=#isuugV7ZohNC*&r$4JVTmo9SZfHKJs4y!pHTd$yrkKvHAR@y5 zs)B-KU;4v-irXpVc0iQMlqQNQ&UEb1^Fq+{WCW5aeGwa{$R}l0&L#GNJP4hwH_Q#{ zzfaflm>+=?V!g!D{=nM@3}-56OyC=dkzen={&%U=|HBtdYuec{qX}K1Cz{RdU9b7v zl92g5IWkG%=)IlfoptJ zEX>zhVI9tai+mn$u5qQl96W+3f-LcYr<02@UugvE3>l;5;Yo^&MDC9y5dVqG1eGk} zC(Ni`mR(#NmY+|hAat$z{pJXvvqY^_v=xlV)m^}!6W-_v=1K|z&qAL3%Y?eI_n zqhrfTB&krU-AXg``t|n|K4+RVZd)<>FRw4p1bj|ZAx4H;xX!yHMl&U9jk?Ss$OM>d z=HR*EhBe>edq|c6A)06msnFg;o>UXWeyKhxM&u<~;Iy^os>&kEC-HJjAZ9E>pawL@ z-2QODcyqcI)3dQYZxXXpRx`F4#j^^vF7kSh28Bfe63N@@$&uX=HQv9IDQk5d#>x@>^1~)dD3!P?Xs@|heoRVkbZqQ=e!lg zvw8dId05_HIa@|BK;o{Ou*tuDIWA(c-00}C_b=f0Z%ij=XV8TimYBrH%XTqNhv6g^ zi}lWcTH7Vu9@f3J4iUGO3_v0<{{WF-Vqq!EOcW`SO-@eE*MT(l53#VY_|AK=*pOjE zd!R*~oY-OEQ9qG@D=TAjb14v!kQM-)&y$Sm-gm(yBO71u3cTMh%7VHB{@@FGunrCm zdI*v#@bBk`IpX2rVd3FvfQDs5jAG;B#2p>k6pG^NZI>jyPcC+b`S$bU{{H>j$%-6; zMmDzE<~2-(L7U-%Ng7jh1yWH1jDh)CKR-X8)nQ$<-hNGgm#-%TrDy9rHa&d==vJ%2 zPA_4L|LNJ>%xvTG{>($L)_SHy`#)vj5Cx{~>FHUf-VI?|v|XTdQ5vH+PZ@giE{@j@?e0 zAeoiYvc|>~_xJY&S&*HbFT|yQ3Cth6&4LXS!TN0sZ4EseAJIR=``T%#r${gZidbbb zkXyH#WZ-LbF#TuQd0fb7Kt@5q{O)Yy>UfD~^BMJc@J|J}{UIWeNr&C-NK=;?4;bMl zB+HNaGX3evJC(;CHK<)OG?B6tbB^40vDWD6?mW40@He&W-CkZy<5skQHFgbpuAmkS zRxUJ~e4HVx=7W(IE}&JW_ZK@y%S~A2T)rJyfNiZ`-pgQxG&b^ntnIq_x0;;#RZcEn zHi;P!9ah$O=xl0wIx(Oul5^&@&G zr#!da^53I{nqeUkV4jAoe?w4+Smon9FLyDJ;bg&Jt(p)(qvKT?SL{C4%3+g{#i&F8 zqly=H2aIJTOQhopv~m4iHtD=%>+JLkE4~CMY8=wD;{=%h;Mkb?LbchBeuKk?n2e0f z-{D~s!1Z07th8u5rW6jQa)Hjix6Rvd>oRLZVR4g7c(B6);fLL9D4snFjZ8TGo1#zx zAnT<4siLGzf9th&ArgLwZ|X2zccyGP^ZBzigz}aTs$l$#$vVA)BEXsfHy-yyTNYsY@=sb zXztj}d5jNo)`w>R#0kKN7;EBdt)^(q$I_)gqJN~O4tCt?Pp~s2753(hqml3Clz%x3 z75P_Vp$NFLsX}>59v-}gC3(nLhAh^vlJ7@V14G`zM&0km1TW>3QeKWU1Vs+aEp z>fHqX3`Ck_UPlVRxBEUnuo-qj`CIqZnU4|{DrQBSX>o#PBY!eC7i(7`kuwz5&hjsQ zenT)~)3kto{Qtx>CT9t6zK=w}Ez%ADtxel}y)Dtg!omb<-k3CuYIrn>KnRly4RBk| zFM)6<5pEx@#S%OJZ$PJ=ZS$S;!|GAu`6Qxar6BZNg|F0>3^IlL`T^R1Hnm03FN}Ih1M}=X-4G+qI!dL}7~u)= zIaHyQq<{o@P%+nUC-Vnj@mg474-a{i&>A;V#fH9BJ|;3ZI9#YboS>2Ug+MNG9A|RICUc1Ca>67!XcUv06Z2zWqGE&2 zE0pdFZLV22EZ)@CT}A8bUD45MZD=A%n)9F#gyX7pD~}`<&;kZ&f8&H(qK{8b@X33> zW0b<(XDlRg19&%%pwk_0{4GNPU2&C3>@-eDc+Zc%VT?Yqa!nWwU}EJgD(DEc8`5kF zd8qH5jy7!}l>cef+x?tb@d<*SF_gIDA-Uhtqyc>^X88@(M^}KXx~OA#_<;fS%s&F2 zk|g1VW+=8@5zweq=7o18J@Mr@oN1^53Fyl(^|IkxO%L2PT?H|HAXpeU z48tdvH3S+3h4H;fzl6$Jikm3WzK{+~x0v&RyjMAnnw4B4_{L^sz(hlEd{<4UO5ph2 z^Jj%D)*m7weoP8Ul#3gH=%N6K8WdJc*O9ywvaIOqCY)Gs?j_#G0cquk`2ia&$f{Nn zj6_aI`?d(c82x@JAcNSZnaF(E*wH(_$&yrKF)Xa@YKKv&HIbuQwgo7LYhBnZ}PbXl1 zA6zr|>ti7-#)=;46eJe*K!p%%Sy`(V89iUAHXW)wmmVP??ETvWjtMSf2AoM*(v)KF z{nJd#2z=k_i|bdHE4gJ|P8rP@WZ4K{Xq0F*b`r)zPM2NLt9D;a_?O7UlPhJmv&eR2 z!5Wqm4~=~jnE=MIL0cBR7+Nu>X>{9HPpN&H6Uz6k&~Emt8s+CsH>B(5rTXjXjg0s^ z_~Y`hFGG_Aj37!?atWc>cV9W_)X!D_w&0DB_#?dQx<%oC6sv6#S={I&F2H_G{!ZJ_ z>Oi9R;7--%$}kW^*tu0hx<0}vB`MHqZ8evNqTqgK@`&0Hn3$2O;aT?d{C-*ROuya7 z9va#Js+>zl-5!$TsK|Evd|!uCjh>52UtU-7WK{(MpyVf=`cI2Sz3<9l_eQ$1k-BwV z#h&W$!`)}SbaSodJ0MURu5IrP!aJ7hdTZYa&kJFM)>ykn(TLnZf6Kay^anphs;JaR z6rOnEq{)9j2=Av?_dOj%jb>3%wjmi7eo&KtVEY*n9; z4T=09nm7;-C5*xe=G|}bT+~xKj2)4a$fG+XJ~LYTd{kTb=@d_p>-MuQDV{dS_tA_t z(Q2YyV@Xn=g>8HJv)saq-$({~R@)NC{(LD3B{PZkahn{@cp9Urv0hk+BId^lhj}lU zUoVL60bX)Gl2{!2t;Z-gw!>8TcRu|CI(ufr2exwew*yzi%NZ80cZgp+0n>G8BwoIo zemB;95Kkwm=PbP+{^o|HxcUe2(99R73^31vt&L3$UXAK7H{W!o-JC>B~o$CsteKl>-WYyvRBWuVQ+R3NLqSrIiar5abl}DhbSN zR=d`7NdPqU0}D<7=7zcPvh|%selB=9UAKva(Ou^wOL##T`Wo)$A+I3)Svq*`=f%$+ zJHi{BN6+I`cVo9dv~`~BEKFYMIS{g#QKOzpg4+Grh{x6TsG179bPf}-UP2&bqC`7o zL;|l_!UEOW9xLpKi=Qdav$tg#w;X?%zVSXbPnFan$0aBF3#{TeiratDsjha1C?)Gi z7+Z^t{;=ClZ2k}0?l)X$8#C*&w@|+fLg`tb^csU4 zhl()FT@K?wy4mGn+RvCMYG*MH4|*}vR%m4P#W=-&Lxm$++2&lHz^v*1(-+Na%knR$ z%x?>1H@*bFhKPYiVeteNlTZmyE%Gf+oFV-K5$IY_W zjo{59Hyd`J)VTI~yA4&zmf0gPvAJtsX<8hIyQCtc_0Wk?fA{j4SQjW zg*AT!I@CO;8ln;@cv8CH;@{7r+xc@^Y&=_-pyT;^uDHY1Zysxg3ydPJ+KTR3Wzo&Ho;%D3hcN_PrO8H`w z5zj)4ljTwy&gdd%>s=5!N+^|RuCe(SGbn7$Cd0UQ#lqgN8!>{O*RN-fFqX14UYEk$ z74w+&xbjrK_HR=UmG`HRwoB}FjnN+ie)Z!j5BoC9A3g3iU#qv0^yV|%VA`Qz6$BDH z+MJ2b2hS%^6+cWs4YGMCv*{cnGBdDlgO4888PCtBU0F65&-0jk=C^!nXLk-JBsLuu zq-7M#t~?8^F3z0|96cXJ*oU|>MO+@Rvf4OdhpVlhNDm?!<_C_&Pc1G>Z0}^Auy=5_ zZs9c9yioiE9w#hAX@e}YfyjWPg1`g2VeYYv?#?E|cPNmbT`Wc0U2in_N z6uy%Sd1nvj_#f0ieyI60@6l|1@n(~h4XlqE>2U!?w>!yL&5k1oD>7tc9+D!$o+pfM z_KUKRc9OyNG%YFzMix^jdsc6-=ev z=)X(&FXRm565_P7hPe|}5vxH@9f9{mIr=ERboa<@e#DCmk!~KYyJX)^jrZQut~>CB zDMt6;K=Mtp+yr@E4HB3^Y6IbUF+C(kWWT1iw(pdmLC5-aIZKWie2{*Qq299iZXC#V zeNsizH$$ZcJszl*wbi;~>&wN5Sz^Q#CFHo$%t_D&8Z(vtQ0v`QrUy z`VEA5`SP`*ap{47wuX4Vdev1UHgQv1`Qw!)dyd|7+8vOIhb=$wX5-Z3#d(dvuX`Qt zjK_M&@0M}<*eW1*2v=ZIm*I?q0)!kO;rK-W*)jHpNffe*$lom&^Q;+ZK6SuTO!HS` zb8E(H&8R=$zDf=$ZDl>3XncK9ie+FwV)Vs88-(jyA3tu8IvC*7bVWEB=;$7uV|yDR z^X0?DUGLDTPzrPev^MB$R1B{TL7j&8A$!xl>^f>h`!LYU>B;agOyy#02H&cD;buzV zJIcwJG+yS{&{bP$Ir+|$;?-LYFLzYHiI?+p*?_axA;3Ss|q_|!-;xDqXPCjHnG1j2{MXh&< zx6mzLVVni>ng)uVv29D$L&QzDxSma*ZP?bDrC}3U2 zc7D>p7D$7)%HKT6`_vA_2r0{<>j=uEb<0zO;7VP$TlXY^N1`=Bf00wmUS1&9b$A$J z5?Sdmplp{jo~r<&&k%oR{zgb2eEaD{lNyU?v25Xw8_C9!P98K{9Ag}X?jcg52f9?< z@+sBkvtT8gop{l%sT{2`ZPQ)@6zNwu9WPO6g|qZfnXC|YOzUg?D$~C7I^w@0j2iY| z50%iW?2AUgE|K&xzLDVkCr1~9su&)!Cx652&2}>+5uKsFQSjCTW9HU^NPG9S&&hfg zo=`ZL%KJju;G+7Hu~k2I%0-b3aYA(vSt;JCysHEK*x;RqQf7_vjY7^d|GVziZuoZl ziCz8pa zo0AeZ_s{*R^M3CcFW31M`3qQd;`QGG#ArtZ?xjF9s3S1}>BnKI8`d0a_w5BtEyBx} zoTv$6VcG5X&ScH&e@a&Jx_u34R9%}Y;NqRWUVM{PNu}K?UJsfB26S(-G-1ql-bxq3#StY~$=NEUE@(RhL^8>|?9vVa zTM}oZl-{{G{=Zp@RTAEfzYlr{3O36B5q)y;MLfT57xIP3W9Ov7tKHvPH_e^e8;nj@J0#C zez}UL(@9|MUUC3!m%O(VF=|pE)&TPM>9-fmy2c=MF2J8F=avhejZz=6Cov=V6gT$# z&g&_ra!@^vGZO$(~qGvG?E`tVLG6^L<<#KgvY`l994N zFkfUHS%wfI$t}F=}Sv`Wu$9w)RpwxaC!r;A8p#(lFVqxxN`h3TWc z)|#URXayBnEsfzQPFE(iYwW#nb>{3?YVuttj`LD3Z*EPGN9gsK`KK$kD(37f&K|QS zDS}thZiCx!k(2W|6)QFbN=a7W-8PO#S*jiTa4)Ja_NNeG8aio{Q8-wxIt?Y-z#O_HR;b|PC!+c>x&Euzc z0f)`17)zSEt;yz!{hZ`qF7BsXEKjrRZ|UxrT3191E#0_8+$~W@EAT^txLL&GKV``v zn=ND1ZLWmjf6kHH);%%}?(82jbsbm!{Inw?sed1;@~`@v^CH=|M>TM%Ed7_;06kvc zX((ymAj|E1Oc&~d5{kn5i-{C*dL9#%XcE@WRj%n^Av>`dZV`=NYESRC*Ay3oM4{|d zFZ`4;hhmt>a_jKgPJ>uYNK8*dCdziDV^Qrw*Wp;%J14;U=5e+5t6f7=G&!dUSW2-^ zypmk)+@URHEApnNLkM1@Kzxo%ALLEX>E+>Jj42~|9JEYQkdb^I_ZRe?K?2r|B1iq^ zfcwuk$jti^8mZlsWTqu}6AIC~>Z_ilgfPcog)Vi~hzN>>>Z_HCQw8zzs~~7k)0dWs%sJY zq8k&hlE$^vlT+UM4>QxRuS<)Au@;`;x=$Nyu6NTO3?G-(bBIFnq`$NB(=F4#nyd7t z5uTmWez#6eURj?lWOV%xNZ)v&Y=&1Cz{wv2$BqV8;$G#9t)EG*JMJnj?~E36ooH)_ z6$G9ouPW-c;epMMmzR^{Pg!jt``}S>KRD(}4MbO*&%xU*sLp7A;MnJ>Zj5g|AncP&dr48sJu&{i*m zVL3IkcWv z#*bD~wP@}Gl-g2+(r&9R(&~@}^9-U+^sp$I35F2z;4Alraj;40@&^#~_Jx%WRzHvv z@&NfiGa34L&TSoTedqvyv4%Yu&3*et1zi==nTvy$$#AL$nF%EEeKzE3X5xSd(P7E@iYZ@!X(9 zCbUzoAXl+ z-XA%wE9_?|>5NY>x)?B!b^PO5PL&Sl&eg!&sgh*E7i%DV;?x5BRhzz|HV*+}v71p|d0h;n+5{yht#yYmfc zHFz1tw=tS}qrJRGUxur%&mpLYu;wKxnAOvEnmC4>?ITT{IIL#=@FlH! zL5q)(U>{eO96zG@ZI}D`c2-1r0ShIQHwEi^B?=X&@SYGSm$>2zTJyU8jF~ON8ASGu z@$@CIM#SiW^N)w>MIN2|@hA+mW*?bo*H)-dF8Ky2fY^rw72$b4J0Q(#|9IB4awQ+S zTMt+CeB6jRBjJwQaS+&>E)p7Ny2En|l@mjn_{aI*?O$%Kkjr3$c~ck8x92W zT=D2G9=NftYzE%@t>QEvRvA9!u`O{jqu*I2lL4-pd~+tphcR`h@5-K}{;A)oqv!5x zvRTOY5|G;eidnGtGqAWFTQlecAh!8X9$AgcF2kqN3+7v~uz3m&(J225-7w}SvK%44 zP_QO{*96|q9znrhh9aMz|KRPmZ=WUll%7Zz1&C68LfBRE2r`SsHy%Psm^D8)+~=`f zj@o;^>}n{7bf2QEM?3$TWk@J$e=g!=#Sx4DO^_`qN)TRrb=x)j{wxR)WfKO%s(LUy zfyzQr&c$z&H}g@GZ!cGR;)CpToNv(;Ir;|;MFy8#+wFoL>*q|JSsO^ONL$DnQK!a{ zluqhzF&3}-BOrU5S$zEnZHTw6_Prs&_!fAEW@99gj{j< z%cneEMY2?Mm42v1kVDWms~?%m;;;gB=8nS}ugq(f7U~?)NW2U;TM=#b03L3lGD~?)Mma+)>{{uR@_qYG?z0K(GL)0zT}=wVN$+7|hBdYlBEz z*AZ~NtCRg%{2S&&!Se%i;PIUeN5z>%ALdqDP6hXSQyGGY-D8fu$qtk971<9HjlfRa zK|BTz>TgmQ%D{g%v6QOc=xh;(R)v90gdlg)`w#ZNz{^|h#$>0j5Uhhd+=Jg>jcOpM zHa+vbV2YHs>kZ7-ErE7~g%pqa)zI`JfW5<$TIh9Yhq&LrMkuq^7=!tP(F;rwCf(F@R@^^c^v| zTgt~wc+H+F!@?8mIeVCSbH+@7?Xey}N)lMNq43OwvTLY~SiWnKCkhTz%^=yAyXk~$ zO!4uq6~2w5EeDbb=v9(a<0BGCERfLD-vru<19K0f86$ygF5JHwZ$O6cZraEy<$lJo zkPe+y(QZ1-j-6i)(G}c1dNo|`FxI@KhJn3V*y`4DXRV7zmi`6&RQ_9m~*d4f7CH&7>!Bs$D!eEAA-Rm?ucdJNhx zc6r2m)$1sZPLd|b(i+H0nAW1^y56TUbCHe<;AMDH@SlSBp8Rra#(RdENNs~lS3gOt z%)hN)4ekZgH0+SPg!a%bMg=Ypc<9I_;%K}8!?!(=goq%vH~9zGyNXh;20CS_U$Vgx z{cG~e(QR;hHFjBTE1t%SX4sWE1#@Y(d`>e25%Dt^9J96Vb!+5o`&1%!uA(G(Fb;85 z-@xM5DS$?i8rsJ+z$4x4jQUZxkNNKDz~=H_WF^Y%Q5%<=;Po`|;(+4!yXr0{B$|C( zr^OXN_2Hk4D(*UONfsk@MNciQ)+k(VQufM}_l}$=w0f#!O6C$jA42g%(3Cha%06`> zb=B>`HkjbZ|4HloQa+)5Igc}b-Y3h!DDNAu0<2w1Gbylu6_vFALHI0m?JbeZgpTFf zt);E{b6sDYC?1TIThonLS4SzAIzhmUQNQ3Z7vFgaVPNuZFRL?0~wf!cAn7C5X=GtgVOtD@}Etpbx{xd9o zh;}C$KhzL31L-79-jN<7S+*%0dYA(nRF^@Qa$rZa?P%9BCi&h+eAjPjU+{$Go6LAV z2&v!kF8Y`!eCOW(9fPoDMXJPo#sYKuM+&Q?SUl_5p5Husb9-gCa-t9?h2XhkW`SFU_TXPhsHH_= zLBOt4V&_5XZRtN789u_=+x5a-nMNttU%#moN3n3`_Sc1p;zQTs=y-}HRELmU=lFEg z;@x#5e8Exz#4mekH#mNxD_ zMz0%+;gKUaU5OJQs1ZtfGDn`do{KJf#487DQDJc5J)0rld`Ku33b)IAImv03?G8p~ zQ^d?}HV2_J0x`{hB6pHJ{#S_1>$_zLdMb&s;c2*x4@M8iLvi;vnH=3fHkHh-uW6CL z9I%GIGTjQ6bE!}0?3EeqjRfrZz*b(6is}TDd6-fNLBlPFpPV2b}jPl5zdV85vsrBDP447JO-y5o`%W1 zHeUG1N&PeDZnmWG=s=!IwtTv@}B z8usU5$FM#&VkoWi!Q=Rqe-Z(T3n+0I5n`YI=%OKy)793HHQ)98t8(^okB1n?Gf^() zs73ja=a3~hASfZ+K`{7T-($<8k|-*^zB4QJ_EdbUZGd~T(&{=f>Q&rhR_o&GsNzsX ziia+Ke`XKFgbPzWIO?~`h-8}|xCzdvl+!=*O61NIz@?UN1rm8c^=5H=b%FR(okUp^ zmO9jeK2S%IoAdi!F~;N~az^gt#-j8zN`eDC)iZ1)cPJ^;Z;Fo2)o<2~K+l$yrf5o( zxpg@F{Q6gfmSouzCmc%Buf><&G-T*imwCg8LT7Ph2rN&DT~0FMPY-t_saN%i&ViQy zrS}LiGG1A++g&Qb$!KSR?lj+D`>q9uTq@yyIc1?r$N0;<$H9AGP5pckN0)SE50q6; zH~=|K%A8Rjr3;Lmm|Xa-MKo#y@#Qbqq)8a=!iyZcxBQ|vcGvp(fL#O?GvCY4Xx`yr zu^G(t?a^g6s|k6DdyUMY=}Ee*=$79)SXivZ8pZZ5G&pJ!DBq$sS9MoJiBJjZqhM z9=e97&=pg;7>PjP%LLuqaE+;!{p%Z~@YBR)4V{vzftbD8Im}Ev)BVXQ5c# z?KVlmYLE}65`C+UsrAR%t~ZOj=d-7!HZM*-x=3egZMR~!N503hstBqCPibGC)RQH* z?s$2dL&<_dOkE)D`jDv+z0WKX6LfzulL0Z%9JkpbX(qMgao$7IvB3hBfSyN1iWKc9 zenjT%j#E6_@G@swpJ5hFKktHdueW5e;SRyivBgAh1vWvJlfqB77{ZK7C+FGqn#pwm zx!K_5I$b|DG8==ixlfP$SU-P=A{dRX&gJdgwRlR$?|EK0=ZsiUlP$no)B-q!)P zyzxv&pjLH%`SIcpH*gW^Lr{eiI}6e3j2wC*T`{0pO=%$IpoMnFaM(u z6ox(FZB~ZY>m~{dq*vWbjHUnz8+=R7ITyZQMuCjTlH$5w#dtumAE4gSE$xR^jVMx0 z11lkcvI58mX(PyThe3bJE4P|Z;7t~ZH8zBJaE~@vhF49&Ja}M&?7vsaHV>XYm%4>E zI!ZM>6xIpa=UO|DJl{v5!1kH4|JXqWd1ip38t2^E$Q0x{7wE(2-QaGReYY=eB}BKAVcNT&_s5EyPuTyw^M*J* zsrzH4xk5_DXs5WDpDkCTi>d#o{#4(1UN-I;9!7|(W#E}U4>?+8G-e;4w^rTj)Z?1{ zIyz&mct&SFe<0&Hh&>`AWYDd~`1y#R0albTyP`+8W zGGNKw6-Re}zE5;vPK{3=ix_Lby;RP@j;z)sUM`}Rw26LEeXBr2SLXH_CnVJui1Nqj z6{~5Z`|0W_fWPt`>h?w$D30RNE?@qGv81I+WvQh){b58ucyuavBknX8T}(n*`rkO^ zVc|v%jAp1BDl^-&cOB?G$l33wu}f6iz{&PgeV{||J}mAz7dNfRB5CNKo^e7?8-+2u zsg8OvY-ONY47ka}Q`t2>#tY+()@R|hrq)bKYwZ`O5lhM1z3{2Ztt!6onkEMV)CZad zmO039A@Xlx(lL91u)~&g!ge%GZw>{ki5B6tAH|f_?|>Mitcp(86;UadH?jTj^MEh6 zu+MJ(4sfzZ3}Z$!0k(}cs3Dw((M!9AoBe#=l|JOSgx_?K6;Aut9(BW(cDGBIDXmD7 z`g`TqD)Z>lJX+F_mPp23^%Tn0g@CH1L3bbo(~f%zYcY!HL~Fi#2plYVwsVZJ#+Ip&>+jt9A{eJII`l$Q-nFq|-?mz(GtJ z?b_pp&BfO0scE@`N<+HAto%{OUD#7OH58}Ke2*cYH3DdcM7)sDnGC5eM*^Ttj)ZPM z7W1QMqh664#eCUdMIgu9Ib38_EmZJn>`F3@@{nJ0doI=S2T6a7<9*XcZGv z$be|l8(r4t%!^ez5;;}^yVU5qPvvdIE&W&qwS-u6?=pZ1*pNDHm3prQoCgr2Qfl0p z6nYdo*{z6@`tzPy@&HfxJw}Q%hv4II^#?e=*PPR(1{Q!Iv68RY$3Ld&V6EtkVI&30HK7IZk8e=8S9-L&#PNhIkJRZY71FP<9dokWMBsJ5y51NvPmRLJ{X-W=^M zgcs6}oouEu7dgl$eWMUA0vZ355$F)Gb*nh?b_yO(sq!-Gb;M?MKjmjWVa=aRM#Hmk z&tceO&e{$uo%P6d<4hrVW6@O&+d5x_M)y$KrP>`!?-Xo-^K5m$2XAe^m!Y5$g&xjl z-79sop;i4i)@y>~T84KG6ezw$pl%dBMH4Z|hKCL6rY&>&kbKwbZ7~Smm59H@r^?t7PMxki(JYa!B5YTrA*VG$qmCG^#(*9!SRNz%YLLw4G+( z4yZ>gV@2bSva(NZNAq2d10;CI|K4CUc>y+$i%Mtyr zude*UjGE>&e=BTiZ}Qpc%AKQ(1q#f_v%&-7`Nt3qwI_NF zagwJ1Hs*%RPjyfxCVy6N@wJ+;Lw~x0CJ71$4{r)!5ABX;q4^u(|JFkSRJ$k zi39K?HFIgQOO2e`o+^1HiN$8}%+OA}#05;OP;Mv7;Y&;_@qoXeKTCn;#y;w*uyIke z4rb~;zgYaoES%wXj$@yS8>JB^>p#YS_-PezF{s46o%zynbPNoezh#-j-82Cd8a)|r zdzsSch$=&0I}5n+lT&95TAov_a!04R+R|Akr?5_ji&Jw0ko3ePXOeHO#m9U*7R)W@}qBc2WQ^ChefPvY{hcqRmE5uNFL zj`$%A82Tx@pZWB%)V*J+u%Ss;=Autv?q`q+hba2N>ovgingW;^3s0YbDy`{M*rg`h z1)^l_tr{3!WFmXJ`%G0S7yy(Wg+yhWIV!hcHJ0^MPMXrCXI;8Uwz~bDd`?@?N*5PR z+o^b8J9yLvN=~}xh`H&Aj7ueRRy~#HLx0HlTD z%lLQqhfkx88-E`Uc!DeyI3^ih%b$O0W3%c+q^5cF_Jk^k5*Jyh3i@G)P&kV*;JnbS z;U~OY{j5XBM#&>KV+kN`_&GVV-9NV`Jf_##e?U$Mu~hs(0smv|Y-^h$`^7MaYpoC2fg84douSGW>HLq&LLOMr40ka zFS}Vy@mUr8!LPXk5r~g+UL=+>9)efi#5$@p~z; z4yRT5;MML-v3Q&14-QczJmyc&?yUHx0A~vzp+%HdG&4jf1EG2gr&dmXO^~OXX8R-9 zHg$LlwxamLgJg@Nl99-F=yV`FU)-BRn0Mc8b*bI|^yWG8*-(YE{yDsNNiU(j-N&2b z&5Y6f9@&l_d8x8T8Lp9k)&rOIPIY*HiS9rz=K^5#dBZB+Bu|}BtvHA?RTsu(!OUzp z65xKZSt#t#z5~2TP(zJ}UoYxD;pk9$`3&J{khz|;i^tFrbV*na@#G-N3@~ z;?|M%%4w{QSLEh={EghAV3NV5yYn_h`mh6Q?iZHSmN*cnug|^j+W3>nwW{~*Y54MP zx6g9*m8(99HA{h$0kq?KA&eYePj>kEJ=~ruuC@DE0i-fO2oZ1Ya-x_d zZaKs~bfrJJ9@c7Kq0mQ{!*1_8VO;3bADOh+7*5tU4o3`q3k^7vr3|H=s@hp>cpuFK zVn=ZFaj@1?dP9xw1#C{#+&oKLpK--fL zgp;G02cxad*5B+P=R`zKmMZi zlw7w_{Qdj2f}LyxNA&OC7gE=H|1*bhS@JMNpTie}(kNKM#_0ykSw>o#9H8(WRHEs`UUzxa8% zlai_VoccZam=Bv$2T;9ZJ*oz&cJIR2H7a4(Sz|DltN*NTD|gG8d9m|5E(axn>dI%u zyz11@%Ri}MtBRs)VVfF!>242+MXw%l+g%pV1VM zGEM>HpwJoa@1YCNgW%|f3OF5=aK2FIH$%??#m;yCWxEEsDOF|VU#mX1dS+&3^!Rco zvpZ1!^N-4>zYcz@W#bLu9%P>uJ1y@w*LlRYFFX&KXFZ`lvVUS6;_s+YRZ~jWh(6I)FhJ`BzSl&g~t&@`~<(gF#{c13x)=N6>5*+Rnya?d)U76a=6_$B{>O+HZ?UN!UgiX9VIh&JYAS3!9vwv?ye?$H|~*3Ni2vpI|#fO z{hnhJ;OoA@i!yRbn#7GD!mCC+jQhO9;y1B97)LD)k4kJ=%SHk9(HC`AWB(k5 zV+SpiF#6Y7sQ5+7=V#Ly*^3nU+ZpKJ*<3v=Jee4s)u2qbnqu$DEKI!EZI!yhIeNA-U}H|Drk*<7OJ(5s7QTe)Dw7B zejYF6ap^U{inHh;RWT=c0{(l0%jGB!2;lD$3VNIo2!Q}*P%5uuF4dpbR$T%2lgKaO zP=-iEC2ofSF|QSd^YKOvp@omlD^230F8lB^5 z(5wM_e3eD@%MH9%J4j9eL)$j@**JF(%#Fv6+x(B>zALP$uIqMF6jVSE5mc&RK|l~e zniN5LFQG`2S3rvN0MfBQtbnvgr~;vdCcPJff*>uF2%$(5k^p&y(A&TG{)=;SuFmtE z=gY;uNV3t!#XrPY!65R1viSr)luz|Ntw9MNTiK+DZ+cc5Gu;0DLH41BqC)J{LtONDE)n%>G zHV`e8dkZl$aG+R*#1Fy?!%#!$kba(wS4G};by5T*ph!gKz;J~>Q*CsmB`@p-JCVqwC=4xLXARcPK+v0WMw?oyC6)% zuA-;S>aCm#1hoY$(a=J_aHEg+Ho9Zb$;xrkrh(dUN@e%cmk>Qvo{kR?8yZS| zBI1}LSyDa-TzXqo+7izs)w69{yC6fU`?IeMZ zppTHXwqJv^&+li|hW(}uLpe-OP`GqY|Gt~Uesrx@^V?%J6dql?2RbhA#No0#z~^c^ z;<-{*X4d&Lbfeo<94lcEe#eBCh7o!MbQPBNn_}dZ%N|$g-aj|c&j3MB5x}tj#Qvd>!Lzey}8^H5(;S)-=-dj_Eb<0$0ZLQ zuXc`G7?<>Uti$oubW-IOotDW=kQP7ai%CGVMZcmqrse3T9x%_!+)|Q>W5J1>LYcgR zz`AT!hAXdx>04KsZ#<6^B0gHUT_Q}#_lo7t_QC4TZJdT8Wv@U2P8-Bwb1&t;VqsN5 zwJhd5rpWA3`Bq(piyG_L{+ckvM*kMRn~zC)cY+fr2jP)RyU&}Grf=REMbkmE@1a+T zf8erGxrX^eEk`A>cSRggY-JatKL=rINbX2`?{TmqgcuUCp0mrEFUB^cDLJBw))~&( zutEG67**O%F)hQ2-%AB{xbxQPat2W1e!qpFFJQeJJhIf5S#U!4?4Y%WJdtX)?;c`u z-S>oGCm~sOdj8+^69)MinGz2<{gpL&YfY_)yg@bwwz%4N8O=wSe5ucupaEYnwz6;b z%~N)J&U%itcR!Z5w8~-Gk#kGHc8f!@sceyv&Tgs5lA55gAGhcrRywBVG!R4(0K4b^ zTm?M8I_U1jnqjgV?v9}$Xn-*xi;dGOtWMid-#+*8MtGE%t}UT@w7=7?L@E7kyzM0j zqCx_j&SHcD&Agu@Go*(*F9lAh<<%_T!qp7;!+*2ewF7)4iK98jAcZrm#@D!E~b<`%i_O11vex+yotNCS1$lN!*fs@eX z&kT&Wx7NR47dGms-~3c<4G?P;ci?z`x&(_)x!tJX$-lpJQHSmFF#OKKnO9ZtIfKdd zdFATRp4HsZlaLlSFrzfrI;2^`p(;9kT0g}ucC7;Ezc+BMdB5^YcaM&tn@2>%llmez z5{D%AgVNRs)!=P(pp(@gf&xK>F9jqz)MNclQ|H5Et~I{D_D6I&`#17y|6+ISs2gP_ zM?RllrX5BDo%_Jc|En7r65i6~z;(Te1=8Z7&tkl0kX8V&N>XxiQB%{su?7CIVctk@ODdq@FHL zukw1mf)Iq%d&*;-d3>9I6d@0 z1A4KdXIoxmyuFhxD7`V>v}a^9Zfjj*@7}Z7^Phds$K<*&syJRgr(!dH0+Lb(H*go0 zz6NZ)?r>RtOMaMU(bXOkABR$2?l81Y$ocDy zRj=hat4ArT&G(h}2-cF=WFg)AcZ%;fD-c^LO?N$4HdlX{BR9xJ>g1mJGy5UDabQVs zT%GjyL~K*<(LgB4;%8z(+H7bv`r(&<)PdB~mt?Q85{mMj${!teWdyYH^bsrx?w*<3 zZE(v4_3(>RY!Nw>L?|rj6MlW9{jalZ@sD+L5;{l(W^9XjVQzIP&_80*=UbHTgNw;@ zkq;_*`W1sCy)`n@YRa{@KML7PKApE!=nckj8?L92z=@%Nv>* zz$1_(GFF!z#|!a;C}v>I&xIRRMC91no7Na6JAK>88vLMe*2QBi+zFlU3S6g?j9}L* zY%*`Uq=i>_owh-~T6AvQ#nDOpSzN6KlN+`A{?Kq|=CZMVvwfHXXQ3@QO}6-eo3GC+OK#k5#g zKZW$0E5^lI2MR3M0jEX(H{*MiM_Se4hhMpEciS?h=Jz6o5BmFtN1F#j5?Yp9Gcrr` z70z~ZG77Uw!YF4!SR%ebF1jC_x_e#<>(DG4=#-<~mAQUG6}A0GQX2=Nm$U;;ln1kp z8Rax85id~b8qVHu3Z6#?rrKVIvYf6!V~OIdxLg?|ah%~gX?E|Zz^64M`y1IXOt9rt zt$iuH%sNJ#o(JJ@14|wSPUFJgj4+OohPlBXsLIevlG2%5e8q%Pg@`-VR*eEki;*R) zej_kNzjQ}U;NT#ADPb#Sbo=~ki6=zAkZz2SHgJsJ{_)oq`0RCp8?QV-lC=(j62<|RtPHQCO(YBMoo zq}ukfevnIXv^~63vf0xqSh2xV#qjtY`3ry4n-=@MM8O0fRbE}{w2CLu-B-Nrf2d8E z2r7^yh07;j^_aBg-I)3bH>_e)&^9s1vxu(>*gNcxZb7Zp*^bw=&gS}G(^dB`@!T6x zrXo__Rr!+b#HK5(4fVnd?T>nUiq=oW+wwwHjCzjcpMykd-3TpjuVHFKpT~u7k!U|~ z4d`C9Gpx+Se~~bZonB9JjyMRxD8ppCSI<~)CXy}F4aY7{6>M?-aTexs8{b>62Z7kQ z3|(*AK>E6hs`YhG;LVk))dc|Vqfm8U-$1Dvj4jgvl?S3tPR+-str@%Ew?Cs&r$22x z&kEo!7|tEzBORs+ZvCW*Odp_gRPz!gaBWBofH}wWh8e?r*yQBG;(z^D?OBIfs@jor2M*^r%5Px09V*H)@)L{bw%qTGva@ z@+v-mG*mBU5C7eD`v8th{d?1xE<__kR!naonT7;Vz@$h?pnprW!3jsiFyA< zDN=lRL$N)QeTr~%2xD>No_09>2?JNxmSLt$tHp+`2kY;*d#r`lG`Mf8E5fx~Z+%cT zK@kdz;j!Ui{T8zgRY!WmdoN9fDXV|$??X^@n@RUfPWA34U!Lpq45)QrX8!G+j^Qh8 zZ&r{Fo#fzzd_VJ%S8HhUp+*%KFzBB1%E1A;2Qsw4Kz zgAZoBNGlxH)WJWtZb`%u=9ha#hWRzUMeTC|uD^CB=i#zue2hi9#_n=FM~7i;GZNH} zN&CTBW`gv=OMm%?R9tDwe z=}qB!wUc2z6Axu)=dTBnj7y+Sb#%8T7vtGYrxS)8x+-$Zom{;s2Enr#Y)=k&l}-PY z4QC!!*J-y=gKdJBQw8C2h*DbF=at08sTA49qkPSmz`?rVKNr3BQ`Q^8DNozyP$uDp zLc$`7`r?YR8iDsV<72qrO_;JuV%;w1n+{$r^jf^qy#1RCzy-%>YM5z zU)F?oeC9ot#}oVyDfHl<3F%XXf_AHQv#KyNyekO$%=uHP&X&`yJ0@SxLZQ)6;+5`A ziyIHa8Buw6m+$>rs(djasu;dy0Y9p|lS(}=%cQnAzgQGPYjC~a^?PWhid|cL~# zwkucz3s)zls7_@M1`!I35pTx0zb{{&!0@$jI=PU5f!R_Dsp)}%3Vsewju<2&wy zyl=6=LCAUXI4)yN!-_UM?}dP=rh8cT4=r~~pCp$OKgsOA2moEd&e!r*haw*cLTJW( z>}TcBz{J%sH=MsLGwmt4p*6&MRM7e>3 zi0F@j*Y}$@=ByD{n*#q?PU0l~MJ^T|_NYa$s5L8G$nX|ahg977A#@yo@KWTDjnaO9 zgG;8r*n9X@`mdu8hD*Zs7uV8$#vZOkn}=594|dGSAU%dh6&H@-pd9xbg2j`LwyB3z zo{dVDt<4TrFT0Vq$apKklbcFtLBQLeh|{vpdXD9#pVpAI zvW+M0-*0X$6EH%wEQ1@{M5U%126YuTER>@QQ z-U%AYyYZ!I|E8_(ub6>H>S6mR7yM%kfmd+X3F#=wQ~qh0YjL48S((eEM4TVsnREsb z>BFruS9^6g(Le?$O&+j@KNjLGm`*^7u7`BPV5Vi&PJ0`_?Wczu`Md@T-t9?SJ)~^Z z!ChN#`HTZ{0SCzsz&W z>Qug+s6T~agW|a9`8ysoD|1Od{WMb^`aDm;tkb$|R@Esl#B9-PyaqpK5{}WE+#7a3 zO|K7l;^hGDf%o6YRD#!s;j5?QlXyW3KWS9;n23|w7mWkp0dhPyS9}a!h{(50_vZxK zikEecxSTs~#^-)%vd4rlAd0LLVBxo@Xel3%Q`r`oX&@5@8phkVi*r-gtev_Sp6*+8 z&-oVFFJ|Y8$%zAKh2-VVA?t(`-4M5)B-9Q92$OfFq1vL0NwcX_f=TS5Me=VQ8t6?2 zE7w0?7vM`fr*bxWBAQCh%B;i_7R0Up#YTfEHf)2|&?#)xHL zNRsqMZ+N(WiD4zuYjg@ET&lw^+Y(x@=a2B3+%)3*_{nM@LVG5OlSD-30 zrso2GK;$23RttZ}tQ-%Y``zNJ{_FYp0=(d{Lunt`ckN%3pkf2|YrXN}tZs}Z02H{9 z4t7`h@qTlw2mS;OsUyXU<9t#uTQU%}CGdev*qQ_bW3LI={62>)!ATU31+rV4&W{x1_+R3`D{1gGu8n!DCZ0e%L1*f zQQxb}o56-$79D}(QG-bb2k-7_7cWnj-XKoRi&pdlNJ+w#`u`-{v$190K!Nm|y8nu> z@({>p5ih=zT1NC2Q5y}3yP5hpcS@O}Pa7SSb`FrN?h4UfyB4|Ge@(iW-22wV#AXre z>39|+4HO^+9{())H&Q`J`9XYrV83PeElPiU&xYTn$dAxu8k}*Fh1`;FKh(2sL9}eP zkB666Xc!t;7fc(vU%bx_nb6QMUgtQC;CNp#lPPqf*Lyf&guPHgMps-(RzqzU9^W$) zH{?)I$8QlEz8?I6Ygply$CUp{TQtWb`@}!Kr0z2fBH{{ji5Xk%yDQ@jTjjK$zfXJF z^XG!Zr*ROB%6lDBS-;J|czq#2eng-(Y4gF@SX~%7?Ly^zBWN^Yzdx0ODFv)Okb&^= zCl~bG~`w$5-EZQcp!Ft=iS5X!23{>1eyywG;aD-bZO%mKA zzfV11W_sy?+M7}BQaT6~3%zo#4}atZa1U`zCRyqy`Zm@fY%ltq^goY6qmg~rh`hC> z4NDVu!uv)JLY5Bvor>NKoH@^8eF>MpezBGYWYK2M?{|(IY>f2u;fp*%u4;1zkh7># zf$!P zAmLqQ#De$?Kdbg0Vm-S|_y3gtPR|kqvZdJ|#dSk_yeX&>)L0U12Hzwhk(jJ3{xPQx z4$7xX&pL-6Ap#SZ|7Lug@&PB{eh6P{XX>dacI141$MoUDA`TIAp~m-hvplAB;M>dp z#>6X54Y5$TnAIK~S2B*1|7`(jt^1(ERLZ;FUW`;*LUz1vTardwN``!h<^ z5G=ynEbc(|oHT+#78MmqJ^s#gf|f=b2dZ~wHa5leev2d^M;i=Oip@++vZ++~3Zd3e zP~&}^kba7!I;VZ;7x}=|;!fTWJ+)}2K_K)C@0G@PE%*|_K}utORwE6KXpIk-(96rq z8XF6L{^-OrVYQZJPO7}qglN6THDb664V4efrnkS#B!2w(8Jx!|1lqxuq}>ujl`^mC zqjG^9`OQ0bOy|CTNa$HGQCE-3(@)L&JJ(4jVai5DB}H-C4S++VNhv9XK!MvGD8PeO&9d!y+N@$AdVXhMYMxk20QNEXdxAU1{}Eta zBgG^ar7FOq7;FY)X;F$HHQ)>zKUM-%kA1rP?=q=1hioMa!OYB-20p6=|NX{!RXf>9 zSVTl5K%AC;fh`j17zP^ZrThE)8ku62xjl6Q>YQW~JZnHX5sBbdF}M8)d4Qjqszt-@?PAB!Ds{rY)&&ieTY+yNIFD zx=n>>UZ;SgzivQ|_;?n9H9%-w8jKn(ySqCChv4o(g1fsN+})kv?l#T)&9~NnH8a=4 zT3Daced?*Ms;6Y{4wIJ^NBDyC1q=)fK~h5GCm7f#K`=1zDi|o>$oI|V8sHbCqmZN$ z4DjUzV-yPf4{Il(?g$13hw||aKE3Ai0tWUCOj6{#l3T{fnyZtN@l)63d1jIh5iDtf zpb#wbVf#G__ZLcPJ#cN;)6&+`Rsq)q<;F!9<-U483$JPr&NIMj10 z@re|81*VY%_V>pttI?!_A8)YZ`Txxu?2|`^hPK8yHk_QX8gKT~ZR66@k1rMrq?6UE z^uQet#*N1_xM;PSep@b7fd5WN=*!@8Eb&?kghs0IeSf3Q)}6yDc{*pdUFVg};&op+ zfF&wP9-jk;Av$W<-8D+0*B+kzt7tx%0}du0Ltwn#=FWRNtLUor4txL%0z&(aM-cLv zD9Se?3#QUJDK9VHp`oGT5~)Ba1S~EGQm8;p`EpIzFJHESV`}9pVo^AvMn=0oj^$)!O-`5VDZ_<&e<3I+&*?{M zHdy5XQX3B;30hgva%Ya8W$cY4qvGI5O=R(%`p8O1YOPxk0B=^37jdC zi%&@jl`YB#6kxT{kr_`RmsdjV@9*E&-@kQyJksWVeQ|X~47`c zm5?xI&Vo!pAbWo-oyFxu4NOVdxIY~IPeDQMoCP+M0b~>o+oxj2=wmB(+)~xb{j0qZ zvwDqyfB-BG8$6Hpj;l^Ep-}30NQqDlD^N7P87q#-SlZ{VfhgRiDt!ohd;626+K|f~ z5Go#?jE@ihdHX#9pT`Z@H$J{h(=2x=Utiz2xHt((Ng{gs=&CA4m-F>8Kuuwhkxpv9 zfS!9pkW4SP`(@Ht!v+T>qVahKa)m?i22#?}q_ng$wB2Q7WYlRJft4Q5m+vf@X7?{F zB$J3o+g)ypayuXO9nKWNA|Mn1I>F=jN&$XdKJ3KgQ+|O)#M1*-$$QZS0p{l6aaF4O zdeo40+2Q?+#cB8LM>>1I5%cBS^Lczy(y!!XOq1HwfB(z|qVY!_uMgDQ+?eD9UReP{ zX*b7{Pg5hKph&I{=m&uuZ;$3`Af;fov;e_fEgJXtuiC}O-{_59t9~%h$N)j3!4b^4EZdk3xm_9a|$&;Ltf|bTqAXpr8aA-F6Q)CMG7z z@a>Cb`7}Fi4*ed;>6sZx85yI4@k~5!r_jHOMaz6K>+PO1fD6`KOG`;nx1A3^Y)3Gd z0bV*aHT9taz<`tS9no6F@|%tE&5-Fd8%U|BU`yx1$4p9-o+=wLGI?AP{Q#$0 z@$S-HXtdRBuwD_<(9lp{0`7d@P&~yc6oaRyXL5T*adGJG?rzPy@BNzV<<(W5=lvNx z4r?gjDxV4@2X95FsHww+LlE^@aljYr%u%J2>D$Xa-bR^3kaAci!kHqjDz+OhP1+sx?G1ckoy9|ipA}0iM5RU=GBJkQJD~`RV zDRIIAAY7E`c4jp@9wZ_BB;fbr^k~lljN_sknsD>*P}0thk%)-M$k-TgY8vmg@S_DY zR+&`h;6xhL8v7kF99A>Gn3$MeZs1n-q%aw(wYty&b^?St;6y+RAP}f%6)Wd#t+m!@ z2!;RULiiH|g!z0KwtO1a?eRhk;1&5Zhm#id#t^ZZb!OdZY?fgEW{Qv=A0NH$mP~=r zCMXED1B$7fZ8tG8TIAa~$o9?R_kLn@J=1DyZ@;{|E0l~U2gLh|h89#=$v`2Sp$C}n zzgrJ-xva=MN~fdQ!zBAUv#9_e(leQkudYh&Mg)A|mps zK+F}BfcyXJ#`^!9KX9u;e+w$+0V37L#B=lvtm&i~n-jro7}I^Ur~;a52ze0l-beCL zj3JgEi%H<&e?#YPmN?y*gepDZsP_!6z9K1shIE9JhDaS%B&AX4Yp~r2y!ZkRc#p3!ua5A$v2)*e)wQl4()VVMjUL}>3g>w%HxbNM; z2?+^RLnr{d$B2cLn57=e=b7a7Kx9ux5LGa;D+jJk{c&6hC+cQ>9)lt#Q*UCPFNhUh zzi%=2pVL(XNst|%I|YgmXYi8M{)AlTz~L?CB&M4|_vmy?(sg=cR-SNjbOoXu%+~&{ zWgT)46~D)^@c5e@wzoe8821etVf|(HhIit@|w5xwL!RBit&mpLkCU(BR(M6YW`_pMhjExB86Xd?!=`x^9 zHN{FBq6%?l*8#b3MjmI;pnfwV-=X;-8(vg<%=**sUfnFQ_$`0gDSgVz-Q^_Sb+0?R zkmDb)L`N9r;3#=0(S$3)NBy^yYJV}={SY&u2I1>8%_fN>X_6gJhR68HoX!uH#}t&6 z_cot;&Cs74yGlK47h5fn_&o00%<-3&)V<#O@6k*!r`xn02UdCJ)wjM7We5UWrj7nw z&B8y7+BlzHY0b}Z^sj?8=g`bPSDmD=En!U|I}bOT$&}4cHO!?J1$$K{eRY;QJ%duv zW|&48d7zcEl=0o}$M^%AG%#z8)>ygs3$i0){P4W0kZiS9J^bvl7Y;o;gI%G}BVxc7 zSNpnOFKriSa=$I4tfU9d;-N0_N(trklDY1;iO+!6csGka$hd{ z>Nq-^VZlQku^~FRjc%L%kv^|L&$47rO}THZBoft40z00JZv_o%cD^PnZlen+2>|Na zCaKPkJbmi^GSGwHHH#B-Xyde{MSQ)HEq66FVs@*c;S{w!v?0*FsSt?GYf)9& z>uA>H{i^0*h0Z+_g@K!HLE@o@s?lFpanV*kqN?b%9DatmW*VMnX8^)hQcg_z4s2{d zFld4mWm0vMaf~-SBV{8C7MSqDpGiF?V@Jg2ACjif+0Q*7H0r&-+$}gjMI#to3<256 zf$l2c8%Jlw&p-wZRmM{;HSt#$@Ut@&zS25wul?y+$=T^K7|%=AU;_rVK!r4m0;Fm7 zsN55XyO>rz6OCTB)k|dtx#bagEv;VHQyf@w$?ub@Xu+e}pIZ;u}3t6!sra)-`TIMqxiXl2C*xxCfgXfa+Ze8SF+R{IB;2rPpt z#`H?^=N10SxpGq5w>Ls7H%|(Uk*G5k>!2tBpW9FE&^HeHMna*(aTqyL5^@u+&M?jz z5}~^F{5vl%yv!^tut+godQI2ZT)iN#KBRPhu?aapg#25cw+ z@mdZA4WlP(&Xa1Gj{J|hH#r}7>^g+U&~tFS^8Isg6(-8|!4a}WP#u_Zz)Llks&jiT zItE6K`DtkoG{qz%YxXrJu6z&7uSmBBl}2`@BiSPLdE_-OD!MpAz zC@44qjoCwwRqObk04Zati(f#S~n>$4^IV&X9YA;cO<|xK+ zY0DLpD_BwG4O)?^QT>p27$i*ybvOXBr1>o3BwDr61nhgDMq%i9LpdPe2MrMJ zOyS-{w)^58$Y$&bO!x+!8XOwpNJyw~-ybtYi84 z7AH?ap{>cJf_bu>zAggs(CXmNq!fb!ncLe2*i|Q8;_gY=#FZ+Bkd8dhneaD8j_ljF zDyTE~NHLO5&l^{*^_1v!6G3HV7q9l@YKF+|Zgr%23Hbk&!VG6AOYxwt&fL6~Cn=pU zsHmt24)C-On>Y?R9-2VV2}gRgKxCiWw?n>m&gzIRihQqoM?U9$B`9?Kf+HHJTyJ2L z+*embP+YwWy*YEwPiF1S?or_Mtu2r8p9AmX<=PxP9-CjNSj|o=@|ny4SQvM%ap~O& z*Yvmz=J~1@uE`jfdV0Tqz5ssVZeITuldTseF(Dndl+v^ITDd=2WU5K$V^K+o*H!Yn z0aqm*uJ|A2I;@!9j7~4Db`Co@3fC<9h^+(GRD!Yx6ZfbA;-IEyATcavc|v-|)TMvr zD<|y!5s{(X5hSSQJto@-~k3ftQ5cB2k5h3fA zFVxcpD+z@Lb3%J}H_g$^@oixn)y81jaVOLU+uC(K%n;P<@C{B5Iz5v7v|Yx;gdC_b zOV2dz2MruDR;j`R`i;tCv4W6Y86^EgGQVOe#Z=#W3uzpY$!bX!Dld5c+dep-wY1T? zx5at#9huc913P&=!%piz8e}vI;}0d z@AHn3Hy2%HY~XtH$@0E_Ky|9@BT!Zt8_WB4LTkdyRok-*oujxw|IlE^%T8IQ&DYaQ zf=A%^Da8tgMBy;>tI z=ivsH&Iz&@5~eHVzxza`vu{P&>Kq)$VAws1e1T%%JB99JKD`VnQOX`O*@-|BIFNtQ z55JZ&L&hHn5+9f1SLw`2DY zO9t-~0+cp8xg}O+E1!^rSs*p2Xd!WRS8dGsc9lw00gKZL86srOUHkFT{g3Vs5X(>L z`FeQ9;yxD(P|Bg<;nIYCWBiW-J^{ypmYpeHOmy1g6=k-V&@_r&6sl4Y@>1eOtriI0L8u2Cw}y#Bv8I>DgC9A)Z)75of$AnO#FL9zE8(B zFR>fa&mHS3((YCGS6n@ zs;DZHQ9v7jA2-<=MlxG^8lhg(Jbz<(G!f-xAty`pmM<+CZlodk$L6MzcvLplk#&vU z{2aMgm}QBE@b^-k_T2_MzHrUbb-ZVyb89-y$!R$1jJbWTE7n%7)_sv23V~4T?6#!j zsvGxRe*)>5Nv9zoIZ=!c=i)?j0%eJITD@`L4q;_-kBeZ%>CvcUrh+EOjsS4``f4>= ztFU*-C^m3WCPf2tN&WBqwM9mWo|$=+GT4cI!>76|X8#NkkEhKm7OgE6JP;D4F}L0I z8^ViB524GKyh0g#7R6WpFyN6Zfuc`xRf|aRUR%Ux1te8e$h*561=v${h3iKJ^_|Yb6epF4x%)qS@!Pj#LnA2P-S-*DoVL zr-h*kYHF4IL|PJDQbPNDMnyo-h{V7!_C74jXquIHf)|`4Xx+Tv>25Axc0gS=VO1If zlu3kU=`LuO$EjIv9_z(&m8vOBm#or_UgN*NcGi@RnAGM?DP43IFIFv4>zqEQdqM9CvRGMHR6zc<2~%9ZS{-c->8m<`-4$}3({=98b9ClXWOh$&$zXf zd(PW5eCRq*z*0q<8eL!D^qFL)=)~FieQc)oGWBAfG#dLH{}dCA7&pQ{Gu5p0tb>bX zk97Zt1BP|U2adh1t?vBFF%eXAs)&U$j%hnJWVzQZsv>Pwm@Qr)gjvKU*Qfu=y(^~; z&(m|M`gR@-$*|nFuB-2ztB-IA>ltOM!n$+gPJ>CW{@|kw8Jy&To@J;*&%fP~yQog7L*`U!@3&zx zftowr^lI(dT*Vu#vaDS~#>+;~yQseYRyj>^UKrA<^zl$^%I!c+jSyQ5Zw;(`z{v0{ zD?aXm736035|Tn^HWK^ofWs$@IhmWL0eC`|=`)<}D7?z=Mod`d=qn{HHvPFi!cQ!& zGkDuNgd*7o+}ES3weAO{uGDy*54wp7y@*Ihg(j+|9df+ zDU_W3acqUTlHG9nWWRsIH2PT#s?T}1>+M!c$~$;qYcIb1L<<+n7Bo{<%gj=x22Z*t z0BYd!Eik@Dp~d*O+#NXZwZPuh>=qT1J|j=PcD}J~A>f7A#pW3@aGzEs9a`t@^>EJA zpgvN7DShmv>7P9Tf$txyNJYsZ{(ZXTk*1;SoCVdFjLMY;CmxOb*W+-xQrf30PpBB| z(d`M$_-u8F_Rw#I{64<*R&u#hW)Ih$?>%>yD~q-INXMAgT{Iinj0IlD>7s^(K4#uv zynKA_p4~jO59bRRJaz=4`F3&}F00RzMj_9Q2raH)8)v!!^KSXLGRn$59#Au_zS%q- zA(}uZbt_jLiRYCY=u0Zj>Yfo$o%|^}Xyp!ST~D16*fLHN4PoEIgrcRcskRsY%E#?q zbD#$c9TUQGJ(T$H@Q~0>PTE&FJ)x$otnza41){aAKz(OAh~&0pIAE_l%xo1ZN=*7X z$uKnBCS=US@U})^iqnWj+u&MKcB;l&l^=Dd%?wM0|DFTKx@`5@6AC`fYv$P0)VRv9 z*N~UmO2!Cmd^;c58Dxy z10ttR2&GjMp(>)OP#S@#g1j=icS2M$zfY{osjaQKzvg3S(OX}tXz~e)a5f_Me#K+c zFz&3+_2DOWpW4(iM|Z3j=emD083!9~S(}@in%O5tjn}QTC1P3C*TF##&D=paM6mK? zgM^xUR%+LX<-{1%)z*htVY4(C^R{%`xt_1XCQjvxn?GW5H76}>omAJ(aMMak@c8Qz zBWW)Eq7;kbQ+Tgfncg)K_b2V?DClKH^8bY%Un9JA>STcGBz^YyQ&16)C!u_Q z%nYViQq`LDTgu?p_nZm8{xe5-Olz*QSo=GDzcn~8C&%LcAR7Ye&|L`W&R_2|#;+Xp zNQ4_XEiy@0Mzz>MfloedgfVBN40Xi-rX%1RA}T5vmHbcChpmoNr37lqGz4_$S#JxK zhtv5MmJHga^%|1W(m-9%b*P!Oiuh>f!tXvXen1cVI}#ja&g9?V0h7D;_)7LbjhQIF zWb&v?_KB(uck9rJ`kw9E0#&$Bh%5va^N};JH_ufcMA2{@pHqbuh{HTPSmRR9w@=6N1T|+J|UsSC?C9$!Mw8<33@hmv5Wqmn3@H^>lwKfR^mz9kUe^!_5?(X)w=!NFxcExGWI_q2H_{Hqno53UN16HR&2h6-W zO5+HLL{5nff&Dey=Bu<(t=v+Z#i#a`B-`MsC8et<{Ka}hF450_S))(BAE)qGGEog} z$f|ii2mNtJP3#5L+TGBs*H!y}mbQL)N^AD&&mO_n#zwjK*rP92;+<>d?vQhPyd@{G z#Jvq1*--Q-L|}Lyj

    os-*b*K5Dw;t7^9=!p$v5r?5tX&HTvE?`7A~o4Kr<9zNGy zcg<5UWroFMgBDqOR}zf89StOHC7H5CB)mstK5EyhVn|Y;USZ)Q<;2P)_Pp<}iZ{_= zMLNHKp_+E+4fV*%WZ$|cRu;@*;U`<7*Ek~hy@ou+D&lw`r3zP&|K7(JI&{O0z`(J- z*Q?K}*8Ib?RTcd&rMeNlm8AVi*5L4-2Yby|bE&Llwv@WG0YR@PAuO@N^xr>y_%K{4 z7Z(fyf-JzTk({^=uf@LQ8(T$6vl!@1nWx7)X8k zL2To-saa0_9PMJzGi#&VqO;*Yaj}#~!pnKby8ez^>_x7yWwlKD%QgJ(&rE@$DYF#D zJ#Cb`3X|tt{9-}Db|0A(=IsX4RI2cwHo=yevY-duD3h)1q@1DlDfB|tI>y_>bfmWm zs>@RLDvLLZ3UZT8)J@T6qH5mD?RcOYszMf2tiue`f@0LQmMOj1hz%E>{J&TLf5aa; zh2KM8LmsAYb8qmgTcl#^YH8#2?o&zJuYR8p@;(bFk>#QI)oFTr`XO-rTGzagCf89Y4Wja;AULrpQ z5PwR&85Gf|vp77uP&=VsS&cSHs@(osy2IzK;Muz7N=RF5hrC}PE znkpHu=G)rdBPAuZSnmz4Hg3@HI8A;Bj>FOXD0>Es!2N{@norfvF)~|R3KbW|D-e6f zOBhs>r2&r$kKVBycX&H-&(m1-S}WG9Ub4bl^#wBwi?!ivRXx1_0i)mwn6QONt0z?L z!DP|RiBV^seJ;~gG=Jo$Pl4D>Pci5O3l{Z3zkV$znwn@C9t=>VFduzdU&jH))z2Ml zC(Spkd>(Rt9eB6z{+0|UULTrOZ;YxWA9s)c;5nlNU&iQ6tbD8XE6ab>`}{ti&0=zA zMlM_W(nL)pvPL|!DH;V66S}M9p!+3a7)grXMMKVQmlfzWm_7@nGEx1tqK(O;ygAkh zsMo7dY>Y&{Llf;@+2DWlpH9rj6$w&qKC7Em;(t3WLL+F{)W7Z#zU*|s?q%xziHfJrq4u(U_V3B za3pOAUK@l9X`FE$g)Abaxwu+(=!CF$zUVneRyG`;Y&iIB-q-~sPSzyh zmgnufq)A(C)ZI25x4vIKGu2he`6WQ9kdJ5BfiAxgSy23U`FY-?LhJXD1sd^cBVpQ& zio>Dm1OX=6v&IU<(~5+wUAIcc_Nn+@PbAe9XL@{TdoTQ2Xy^ulw$rCi5P@#y^WlLDW|#qwr^ciTU(`8R&yGHETjPp!V+iP&7jK`k?`(Y zL4mP5V#+Jd%Xij52W&Y}GcYpJeRIGE05fO;W3jOh(Isg<~F7%Ld3ov)(nBYGi{QEaS?F?cOyt%#xCl zdFC@_FRu_8XzFV}wLK{dv^qxT5j0_K@nqk-Axi2(R?3S@hUXvX@K$|b+C!q5kRr)| zk6}-bq5$zr`UEtu9+zjC6uutw53F;{+Xu6W-2HX=j6*9l!+)O-$sQ z&q&m1oLU1-WOVeeoloe*y?0Y>_WVT*kg-W?$zKh1TWMV28K|jyOlkqV%kh!?$?P3c z^lSp!y4$03McG7ej@u%>E#tRP*ACB>&#`OrE7|te-~OjR?C?tQ%MSN16((ohy)CPy zTTl)diKZ$?Ka1U$9ddq!LvHr6CqAT@wP@KQFpo5L`kW>=^a#}>EVj3Li?Hi|vD#Xa zORx`fdRpPeT9miz9Sz!Y|Mm(21B5?tHKkT5uO$! zkxdg*AI2+*er-V6O-IKD@gRm5RL8X7qv8>CyYk*;-1$CTe3^M_aCXLCzBCxOp!(Is z8vgych@*t;PrMZ6SK~@JnD`2LB9XlzT1Ex3Wcn=Q+c=OUH*eg@AI@!6nY|(iOB%1& z3jBx^M%tkYUh-ujsp&i^?Q4T8NevDL2e&f&Kw4(zX&PlYQTB4*>=4jdp=j-NwljAy zQ{Xk@UYj@|Rq(;-`sHWTU%K@)g!3H9`62sj3NoKM-tE5n%y&5$6NFQ6JEhD`n?I@` zu|SaDIf}Xog=zq^Q2UkehzPEZcP;`P*WcgUf7~2d86N#}e7NE+k~?#Bi~h@r?JEFc z33eJzl+tcAH`0{Na^-EKROiW_t5cpHqiXa0iOwl?KmeFLH!N-SS4y5QDf0 z@8b)+c5#v~U+~WfY!ql3>7^yiunrVk_1TjN8+Fx;NE-hzWMyR~mJ|_lNA1j$Wy*e6 zhNI@4FuSX?tE7roZ!ta#(y0W^EckS>_+g{|vZK3p@#&5%GMTpnMm@{29}8AGHV&a9 z1B1%kna{}bCa<*;CTYF89>VFtQGQE*u9~u~(VNqox4qsUbw@2_f2=jy;r!L#{_`%a zR8>)}^~#yO@|Epa^)0sV8bqV)THV~-d&Ls=1p)W=??synK7qk80b%PENfCUIxKwFh z=H#JM-3j(7WB2Hk_D*nTn_o!C4x}V7p#}!;_A6x;j4GC&=?IeaLiT_xAVv0lvvkjz z(+QqlhrQNGn=&NcWXiS6JF%mosEERl{52jUQ#G!i*ub;gX!c=Y7-O5qk=nnncg9_> z59JKMCH+~vVjzw!J*a)eM%{J9C8kPW{IQz6zn{I~TMKxq zy2=%t743$63>>!HG=0N%pQO_GjIU2xmrhnn;`Ajy`&9lw`(g>BR&rw^_h`VorVe%FSp8(e(ulu8Voy8nMV7Gkvu}7IU zd!V^t^m3x_Vt~)NBClOk9+cGH*C103eTGc9htt*%_^w0BjmvF50KmxbG@LC%z$L3|Qjna_jbVL#y#jGW*4k&FJ{SO< zI3_#$k%E^%J{s1#ZZ9IzXL^Sa;GAL%93Wsw|s9!HALa<~*+J($LdvMHYh^O$f%76sUj_fx^tnilfB^ z*GrXD036)^k5Pk*o0X~%tTxZ;zc`B}yq^rG6@MoI0M4p0klwRZ{P`0!cBzZfd1sAC z+Na7H+(w<&=o7A-{%K^c`CK0MHn4tg{)mdII(G&d*xQ1E-G!bRsu<-@XY*4AZ%4$e zqp$wxW~rOIc~e3ON@o#Ypx7I(?#9ufYlp`kbI6@nD+01UwcI;xwV)iA@bGDaDW>}n84ro$MauUqUm z6VKt~fRsXPRAPD$jO88k=~?sbo1t@5PT?BtIBWl&X|& z<_q|hlyI!c*HZ&^;|@jVNOP_Dqsyzx4Z-&tZ2NO}q;~$_j#Po6VLFm_n^8$Q5aR8y@ae=8OGE$1$|(%}g6smCV0}##y&&0l zRN$9+!^fgR&EH}0(_Dbj{|8Pu6qpW*QHA$(<<|Ny85>_k$-;pD&Wi1Bc;$gXvX+R6 zUMunb8H6lA@gJ@@`KNNCFYU|k%z3z!d7-EOW`XbjjLz=>l`DFW3=qWmtmeJMB{}9w#)Ji+zae)rUbG!!W z@RZM7gA8Drv9M8{uLM3Gr2(?0@3D8MzsS6l+X$B*z_YXlda79>+=v+>V%tMhR`^1f z#ap^QAltM5RN9FOUS#Cw3Q-cv@>PqnjEw_55&mp_j$eB$DM87%)k_9Tl_5_eJO34W zb-b)b458-a09S)pgP@rixb}7XZRRRZLSo_c>(c?_-4r-;g2iZixoC%`n4Fj*4ymxY?{qmVf8E>` zV=z(9gaLdDFm(JZs&H|A-MM${<^AerwJO}`rEQh2hI2k^N7nPER>u_TaeJgpCZiw@ znE!_fL}zdh^aRamF`I6MMMr~=rLx@-x!|t~OL^cxwA>K2edm|B=z2CgY|D zWB3%~wD<&306T};ezr&G*^zsZrH57yl|Cf2DaZBV(TB?B9nhTALyjWmA~{gk&cP1q-CI}_;%0eQr#qdbCGU*=Hj)FA;{U{`~tIM(l zOHv)zO`sR%eI#N~%alDsgGx=7c16L$G~RrL`T$1qV|@b8qo8`-IPQ z1m#;)Bebgb7$nc)H#Vxiz9ANhFmvpk6FX6S;t#)^&FRNgy%60ZFgt*Lh(pYfT#*@A zwj#i@&o1pPwI|@rIyGj|RAAkU$M2uH6i=e-3M@@s2>lL#$lPlXKh8%6puJapnJ#eG zQDs6%aP{|=0b@qhG!r~2p}JP_4#q9Kpa~E|a|(S;eQ?u{4{Cu3f}~W7 zpavi4c-kn)lFR4F4MBX@L+*!LPznikLme-e6$Z`cmGPY0TajbqrpulLuczQT;pU(6 zXI`2vUm;#JcaAMPlT(m6NIvj%3c_AqUQ@}7cmy+O>M+H9IGoN=I+X{ROTGpZx!$B& zoZ&I!@k~hL`#bfzj=P)2;m#^J%U;+sd4z_bXuXv!YcF3jxWgo`Pxb3JNatM;@#M`< z>>_le|0(G=04~pqc$IXrqorO+H;Emy9cqK&Jmcu$ zbRq`CzG0uY9pMT6+9gJuC;%j$H1?9lN*e8R`pm`Vvqb;^?O=#3CLM)~P}?|AE$t5r zv*uA)-kzD=JSHLNqsu(3WEaP!TlZ`7jln52N>8lR2W?#^j2(OKRw|_Pr#AQYj5$uV zLyx}E0bC7*z%&l?0n?cF?zkTUaUNuW@|EAtJdN-O2nc|RG#Y4WsD>=)9bsuztjhj)w)BPCP#{YClnN zcI6bXB`fwM8@2wo>!QEs*j?>`pzTBTNBlJb?MpU+l$e|_dTlp**C{6U@gJM**uDws zMm7=yA8eLljInglDbf*pRh@Vl2;lGPlR=ZKFV~l?MPa=Q+N9|Ke5LiO48R3UJVN-6 zgqsQ*LBR#cG8wMZoCw$#|Ew? z{OmU%Ea#K_^kVwlxM&rfjPcOC*E(-#tvtbRQvOS^|8JvXdS3KzdPX2D&K2q&=&&MK z_PO%-kdCN`R1Kt41rq!*&!5I16o{heVESrw&iliz^GZ_{;E+UifCF&(7;*p{20Ma| zMmBrqp_+EQlvNe~w)VWvN)I>x#WY^M+4&RM5islpb`z!2!l<;1>DeMY0$k*&tn23I zODnCI6KzwNe>lNnmHly=BE5$Fy!V^ur{heiGAT}XJOdDBFTBl3nf41DCsYWY~pU?mPFKSL&>U&wK2wxHtwd|CUH~y~z;ZGdCY`kXq1*wy!JDP$y(% zogX0|)%`{ma35e3%&G-4vx+tVp4LEmlA|NY$j9T{xn~e^d}p=Yn}DE3Vrzw&w~xU> z$`^1@G+HssrmSpyI6%1My$2~aCxq(FSBTUe^V{S0{GZNI+HYjgkcl?Q$20{u&2cE? ze}jLf<#YF18CPv)gsA$1W!t}%DtyI|9|?(hrKzo?g3M6=S;30$HZt5@Iq^_N7y*Jc zZ?C(_C<)}}<(TeAuF|>T=Ieut`|EuD-U|oNlgrUi-&QZ_5Zav3fBW9tQD1X>o4py) zz~Z-WXsA_kY**V0wwFWkwmEYa_*wVfFAgfCr^Ix9;T38H<}J}nuSJuOS+Z<6opwmh z#NaIsdtXM9=tuz6KR|V1@p`zZ@pj%H&m1{fN<1dS5Q4FHB##e6O7`jA3NVtYniRnl z5q=qBOPQq7fT}+kUPk3%8c47`1PnI8g@AUYE?iO=v^FQaE90WW25ODG1x37dW@XQv0^Yp zkb?U9L{NcS4R<{rkJlWWb2ghIpu`=8N`uP>X7%=+Ag%%ZjSFl>j>~fq<_Y&*Yc6k|Dw)p0-cGmG`8NA zmGq`2PJrB^-egClQaU%63kzVPP1nw%MxSn!$r(I?sjhYQ=iJ}F@lZS`9h~wurN{q} zF@xXhg1H3FuaR3kP8dLu4dZoV%^^^Na&uGBzSO6P;!L1n^ zCC;+3Hd8gKcBM(44;?x9ep13gH{UkOb!4vgcGCy6@BySC;fbz{{=t(OuM|kyocI%`PfQQA zbf?|ZZLs5P*!M|}ozv6PBjh0D?TW2Rx4500RSko}4p+ZG5&@nC0ly1khVc`w2;YN! zvm1>ssFgo6+!8$?q@npV;iUfAO{Kr}J^^$NmH~eG!^J|x%)xdD(A5&sb?Am?LR(Tt zakx-BoLHd<(q>kQS{%LZ?jysSqyq{1k75Sh(?#j$Jdd`!Nw`L~lxG*(m74I?2Jjb$ ztB!%39lP&wiWO8DmE#m2#7digYdLh1T;fxZ9*Hza+({#S*wLVa7p-`)9}<=s;_JC^ z#q8+bRSX)oat?Qyy#knpt~mV(;uOm6&L+U1>4Ylgs<^*r{I#`e$?7I`y_L54aV_A! zX?3oW7F$6R(s9yge@)cU{m@@m^)Rh5PE*UTp<`#aL?V&C>I3`_5Iad`#8yY@&smnz z95571zgfAHu}aik$aIDb&&#!@Rv;KITCPg!HD-^^S}Y-3R)>XLFWbEjKI3I2dp#0w z*yw&wDi75wM^g0Y|GGq4({l^}G@kDNsaBkHO$BDavE}BzsC|q24)X6I1*)^)2-@|q zta6^(lU@4+a(@>PaUF;5lE!NLkD`*|d{hFeZ3r&GZhU0o39T*T_Q zp>E@Amz@574U-_)(>0gO8E5r!C544pCKjak+HfMx;an*uR3Nynt}ei;0|6v7ZTuvl zRpA^Ecx=BB8g_HOe&5hiiYB@h1@f6tOv`fO-}w$=fg<2=**;bG6)LKImn|=$);)Ru zs<`4|yZ{L1nC>wu(6*nXcbrlxPi%1=`moD|E_lGjn1{SI-s6g=#;ii3ktek zt57yt{sKGi=BQgaB*GC<_WASYYOhBJVq)Uqa+s%UI_8g@ik5>TM4wYDwrv^+aDk@Skvc%U9 zI*mg|w62g2NUznwFkP=>t$F(MSJ*8)=aSE6t4;P5h~I%ip}w?G3$1+Td|-ikQ9?O% zxmcD=@VxWAqxTA+!501^`3m%QhvatrOE7rwGVpS49qb0mU!ArYEn}=ef7HzJXM@55 z2L@5ddiIWHZ8vWYXGY#OOls|~b|uSHO5sRQfYbLnbnH(SpTLt+uGaL13wXsE?Azx0 z$GmE`X_C~V^Xe$qSS(ey^x4PPK&>qAYV20uVN~U3SG0pmk{);CpVQ!Ny9ekkHF6_5zsu__(TSmi>fF`@iKDT+MqM zkQqCZnUpWkh_QWM@6f8nvs6OvJdshX!?`mhRXJ3jOEmT3fP?+})FM|enJMMhV72t~ z%+%J_b|8lEJWcO|$TV~41b@bN5q(spUuu^t9AVL#-xA!U=u8cc!{zX2jW{%!LDxlr z6<}+vL)9IQx3IuXu_98cR+Lar5$My0ONIV)Ho(t`z+{Na$QX6q@D_J)a9Hxiq}S3r zoG$p_G7+u*3}HV#OvMdgt86Nhss9UkIirIA(=I&!SGFv^w_g%EdK`u5x^K=golRe0eMr340%pnHWv?1dMb-)3nw$+j)}(A zY7bWZpAZkUyCS1Zem#xic@ZM?;{f#b zREhvm+um6XSP`}Pb(S@rt%=A^E(47sTJUQ0cdusiSU3_?=O4h0y7Az{hzJI{Ke1_P z;j%@gNx{e;J>E!&WVxL3154Ek$}eF9@R%Z`MhEO5$ZIBKliRYSnG;UViYkP)6axWQyp|~`0cGEar zQ_gtxd0;L;nKP!~W^}^}B!)+EfJp;W0BWEwAt5a-oImwDF%h7R)1)x!2b2nhCV=ogW+Ke9$fH z>)%cmv`a(l^}ZU#i+=B_`BEbR`IWJT)QH5BS>0s+?QK)likl>2h?MC5_J!eKobQ0; zK6Z1(^Ndd%AmH1c0#Cva#GRr4B=6$V@N{=t3Q+hdNl1jbxVV^qC<0F!PywjXmdVgy zV9O~kOrIM7jeQRM-hMsKBPA(0wb>o${PuW&>H}Ov?Q|PazDPEc)q0sVweT;9(Dy~H z)jW+EUO0yT$&5zj;}U5uU;P08t^^($U^!o=4p5SRS|&pPFEjzyzGDa?1Ou~UURDPC z1O~>54fzcWOpojT%g<8-GP9iWlFG`33?xiTU!Q6eKBhFUF=b%K`dDDs6^x)@&@MiI zSxA<*WJo^uFu`5|cG>*2c=j9vMa<0PHFTqkJD8rij6e9-t5r>3)!f#I69rkxIQ`mE z@`_p=AK&VLZao@RXs~%PuusG}4Gk)-h{+**NtKY^EiOOcR3X70Tp_=G`}Fb#^*D9` ziYzuuR90%R`VQtN<^}~53RcOXq8-0F4C^?$Lo++Lr5Nq`R#Ja_^LE8HO!qedgk9io zYVxmR#kZ`uxOfl^9t@)w|Jyeq8!YeGyb?HEj`<|Z6F-70kM<4E^^fyFNc?kIf^inx zt;Lk&!qSMW{}v{AF}K3OySSSmAVmg^dw)@nA5Ue(sFdd9iCtEhMPc2MMB(xsH64tp zcZm78I^?sblSr+ELkzD!7ChaZp$^r6ccB1UfoKp?abIOBirzxCgoyK|9QD{Iz%C$qEP z_B?w(UN<9!kEwcJ2N>Lcenoy_+2>Llk0-IBhCdFJ8=M1bRgPcJifUXdG?xBqEKu|L z;oyLx$~!3YmW`ZEyQM9Fdjw96^V6K1oUNagA^GCyRs4A0L_*rfiqft}0tbMq)J@Q` zNoGwzY5!QOWiuP#oc!?^xLA_ZfmaTzv;{6Pn>rl<0WFJW4nURlDGOVYv6)$(khQ;h zbMGq_jez-#28+ea*fK40tFCWzYh5oRPz#WOZ(h8#-qLZNhe_v>1-0I5QJ;OXNED~f z_cd5HOM`}P0N;%2-H+4)5IOc&9_0E4Bp8#>JO&b1-14yiAodP8t~*xe6vL+fWc2C9 z)A#oRF_(&;9vynr(MZJOw*hB?dyL0*uj1P>3o7a19I2dMW$N$Y$Ogrn*$_-nvvoQ> zdmDP3L;4RkVuRFm?y~FerPy;kmjT=r^b1=Nr6x2%o`+j9^yPz9M|j->wxx@bG9zg^ zy1H9)mfm$!Nf0fyrkq)0=+aMIZ?CM&=1BQDuFJsL2;g|H-^@#zG=KHuUzAWv^1Mj4 z0*pY_8_*Y=Iy>-eif)@-((>uXYOsF9Lb=(6focXI>JHP1-e-+g{s%8JOA87ffT$(t z(~0fp_Eg@?U^%bWuTPjK;PGG~3w%YNR28}*AW&bY>%3#J$l0xJ16=n!uA%sSmXHowdW_s!)ICr%lIy(62`$89n<;|{#jM)t*Uxw7()<;KO&D%V2 z#%+}Xd^G}Bd2N9itY4V}(Kj3)tEP+Z|!>Kq0z&-|f|1O0VEf+w(o4 z{r0rs{m-(GJMS#-cm2tdBg`-D$rZ@8J_nq&K>uR3z}S_tp_i=fzm1xRnT^$Up4A(| z|4!uMSm&2>m3z`+5lb(}_I`3@d=YX3U=S;6`gPRW9oQ}JD+v)5^(ne{@G3$XU2;kM zC{LTts2ZRKx&m0hlQI#670<(I)6yGKJ)%R>>f@mdZ3_AP(#0NyQV#~|aTtM~vKPsMlk@ZOz0OlvJ!oeG;VN- z51gbNt7?`mC+B8y>!ZyBQ88;>3yYGBrX5-8j)`!|x@e=WxAfh~LZ=Xve$DG@=EMGS zY>8r#s(T&3$WkRNaGrralXU7FahVr*Eccs1t=ZJrIJa-=QqQI2;UZ$ySOVNEw|y@> zaq>=U&n(BKOD<#B#0aXtPiK)~M0E7wWIuBJ@QqiDN%3uk$Fl8}wi4H4CQyH#2L-hr zHX_si_@;)zJ*P$7@hNd>Wpan>ielCns{r;nh`h2M0ZujU?C6kQrZK1nr~}}mO-zcg zFVv^EZ7U-qhA|#qYR3%J)kA$lS}ot5I)(lDlf`=h{b&g9UD;Z!@5^HpMWq@)WdFMMM2}V~$FbGj^jEZd;d_i^?v&RWbzU z8g-~cRPg;+!7V?N*H+W#IP_&8SATyKu+=<%Ju_j>Ht=w6K#z-}bh>1}phseG(CS8@m=2R~ea!;I; zviWug+p2K{Z_u>f9(~%z(55D+;r&OP6FRWkJVpMf{lj(+i_K^-8#?DwAf@;q11DF< z`9yJro-Z0rQ{v07sCe8KydY29rX_DJrJdgIS+f~v*H;qF6hGJjUJNlYoGg4311ldn z5NDl_=}&lM4E3X#7#LMtp0vsNldc#OKn@}LHFx@1JngXO1?3&=6k(t*ETZN1 ze`|3yXjkB11FYO47F9mxqZm;HslA>{HnrqCccgcCh^(-Ir9d;^Zw;d1JZ61XV?18G zrKBGVXX$W&V0lVa1Hs?tSBEw+#I%E{HItNH!J9c*bbqp+|#AQv4 za9O4r;+f}yR)1w}PEWK>JB;QR5fyn{=b#y({fJebAi)*{waSf)-mh9?~m!Q7Zv7e#1Mm9jV$dhF8=&^OJMxFeyd-o40set z%HqpSz*+gx%WS>f?ry{!`lx%t@J{vqbDG@#GiW|C{duD4y)DII^vNSZlXUKqvNE^9 zgr8s_FtIQ!W|#Y85Uie%^Qg^VK$G;6hGge*JaqVx7 znC1%{TXN0@1pdx$Id{?-z*+D3_1Y#1#f#@wX?&bo478IU(OGze-xaOE)v(j8R00;D zJzV?OCViX?%+1r)6z^&_Sj!p4S2kJ%Y?BR*p5zP;epi8UMECj5aFx^~1>VXOs_nn& zq}3`Hl8sFD3FQa3Hy+MKMrSdvVbr@sJ)CDV)FG@293DHQ7AYg@KSXq$uM2?V|NAq* zo>kthfb%=I6qjpaf~WNQ)+*6bF6OSy+M4i(a~EjDa96C)FfO>eRo5HBeJ1=D8Rc8E zMa`u2BKY4ZBka93NVbOB8eMKI&BO}OQK8D2`fuJafyEDf(y0je$43oNEA?))S|Q%C zo(P|W+~J0X z4v1u2MSflfL@}U}_h2XzTUYplchyMZAD9)Yf;UC-ekk*q_oJi3!^2Ia>O$y0D?YaZ z!6s`iCDebunmHv1vXYxvy7gzK?*{3#yy%(bIxVtMxA8|WMJTut>)^K56~bN0m#*04 zxbp!s>~)MSOkuJ&#KiPMf>sQPLDN?`6J4CW){gf*r%b;MyQaNAk;a~|_S4yCu}6aK zVzVT5`wx3cP|HBFbq~hlQnIRdA&%W_GrKALIl98t7C;NUjnmNp8=;+>v+h~!KW2Hg55Y)>b zdL>~SsgU*iRU0WgQ_tP&2zYTVOhm%0>nHmHNuPDZC0yJz+^uKabamj@Z==0l^@c_X z1lDKSkDj8uFbLIZ?{BM?SF)g^UQ$>oZHu=6)x2lSCzEhET$UfA949b@1aiTLW68Xr4r*)c)+C40`%WXJ@C#$n40)TrCmE z3QbO(36K^)cJ`JXEt&_y=Ffo?_pMQfDftcwyN@+$6}YTmdkcyX$+z`*ha}kKdFrc3 zTufXmTRZa;^Wq9s#Ftgw{=S|N0RhR>C}q!X4ixf-aaO%f90%JjbaT~L{(`Z?C}*YB zYGmJF*7}O(i*i1`!s<*LYxZ;o-f*XQdM^ zuHmVC;`ooc;_uAp0M7c{3)`!V!9LLi`ikmOi(&@P{OTkXd~l~{J>q*WHk~o>{ygT^ z^aTG9zHt;XnY`1&^8J=QSJ6&!z{n>%+R5X`{MW}Wqeedo@J%nR;F$&JYdNPQs9#Xi z|9p!T;RVJ;z<;QdL|uutM7j=hBDodS#)cM4f5rQj^-1eFFh!#JF7CWma{4ytfUQG) zpsQ@_AlCU2WQq(3PTbY}+p|;!FK!L<#drM;_|b9PjlDYv&%mg|gLV2;b1q#joZ=93 zrj0egPV*xX$^dkCf{n;0reh3!X^Q%mJG>^>ub5PpanN_eNSu0gaL>u>e?Q>;F}L~$ z0kLo5Io6=-s_)#kaVleXVPBGIpozb|%vBJIp}UStr5x_rInY|hp_dEgZD1tKl#*Cx z|7D6_Gcox4I-jXQ%*} zu^8JrqaDQ$47_0;rkE)aOI#)LnJiJ!r6m~Opx@Db7`UiB_VnJ3)i7d3Ix}l3ey8gX zoU(Q0md(KZ;lzvB_z}(Rr7JTwDP~uJwBV1&)SEvqWpZ8IdW}@JSonqe>Bo9g`EcF4->^#1 zCviblJ$)b5%i`VDqqq^T)-C6;p_L*_dg@-fElfztNk?t$xAoR9m7CY3j!J>%PO3V? zbP(Sw^W16_O{@%gHa5c9c}gNBb2)Y!&T2`@kJt(05nAb?-#}-WlO5yGUbLO_K?1n-ut+NMdDW zO*FoQwDB+gnUO`!bayjy2RxgmuU@Yeg~25?6dfy#zQ+G9QmPizj~9I863fZfj(aMqAsTx}mj2PV*a24$*iVuE!^StswIDmw#R_Hd)Ydabe$pit=8*%yKnAb>}1T;!#$PV6M~6Wc=CZdMD`Osx?><=i@-#zFd6#dmn3^`axavSfPPkW(z{+5LBo>R^+Me(rfy%XngS|~C2!#v|8bxu- z8(CMvz%56{ppoCm22h;05R_qkfLfhuvx$>-#S70bEYx@9GvLC&!bUY7RNK`KvvXd- z7nf92jDWPO4{fyp0e+=Czh}{aOkY`9sSVgc5`8D!n`q=_)QGv03nkNg0& z4ROX7j`8vFV6Sz)6@0U}Jk{%2TU$Qz>5ui&?izwrw1U^%+ifzj6x>IXVKnvW)2FyR zQ0%v;w$=pHU%uyChQVO=FvkI15N>vs1zSe_Ol3|*-!lHT{Y|53MYqb=JM>=aOIMT|v^l4$2xezM&+$qaKM08EfjkQV)H97%I@z$+4ur~pf+@NM=!ploF3Xzw@24A1LAnmhc(3dKwZ`pu^R$8}yj|Nu?icTdU zK+=*zqkAc&r%2eTMFzou)lj!Ig0+lNI=Z z>?EzIg$};F(P1IrZwv6h@y;?mV5HW>}I=x~mf2<8R9=IErSOoSTzF3lsLvgKfL?t0(#ZK#4vc$73H za#YvlDnJEpeU}*;uao|leGKh~i*z;<5x;`}3Xu*$><(&~q%=RS*FD!k(Y3?=-u&P~ z{rTRluW_pdjT(Rbx!chG&5%$4gCaplNC>;!fD01%$=eE%laYz<`2X^$mAH+Hx8Anz zdoJR=@3q+8_m$1XC*^rC&hkoUxckY7d~B7uqa#5ER2mOiOIO#d{nI0d`guI$C+qK2 zR8*F-6O7xqK3pn?&|PQ2Xs}IWm<~D!Uzn`-eN9YF?YcbPEd6lri~Z=4X@5LNt=;2j zD;~e-T`Cb*Z22f^Ssx#?4hDLzMegon8;s*)H(pOz$1W3chN;t$X zH`No<+}zxKGsTTtSQrzcS7}XbU|{f4LnCJVJQA8f))E4FcoMJz7t_POpZxt18g9>K z|CtYqXz^q?bDB57*RNlv>fN}`c4rfwa-bXHK0aUYvhO3xh^ea+o^xn_B>3S@)Y{tm zrIyym!dKN9IXS3iW@hfE4lV)@!HJQ;BOA6O;$F_$gQGBpi6pqc&shr1S3JX`S=KHcRx|sh1}FUnR*wL$aiw{|93&OfMXvgK@=l^th=`k=kXgXi#k{^|loZQjmbG>wYiH8|PtEjP7 z8*+q#L>7&j!1X%vMuZGonn*S-KE7?)!Nk>-|ESysr7AuBiD8pBxmqqEbZP=%_AZb z4g%VAccv0g79Rv+``jGmP_j@UnA^=N&3((IUOFlOg^6fwss({_yz5P$0pUscGIT<0^L~@lSM{YAaoY* z&Z>VF6m-1sJtFMf{BV0ZX*S_M?=&p-*4jGk<_0`uhu3~%u+R0`@i|T($X$wzf8im>w5CkfYY; zYMs!L5o_%}F?mq5JbwK6_u^vOwgn!(zS7Cn^KvuHXwZnISk5FRCFRe~4l?B8_Kvdp zQ%K0kLr0WrTNPob4`TO@TnIH=nw;%pi zL2)rIA0Hn^u)(Kx(}973AK-70Vd@&2C?zc|EbwrGd3bpPT3e+mDl1#JPkDbvoAZF% zY~H>_Uv|(tv;-0T{Q2{`CeVDHzsJA4zMdk6p%eKTyKGUCQ|QxD?UXX6p=S zMp2R4BO{{&cTsfIz`CkXCQ$6^Z-1kdT1Dw zl~vlwsl2E-joq&+32cj&7KpI0Fj+^>$wOlub#;G`B!A@PVN_OD{>;mh0{e8%uKEd! zh>%~OlnRk75fKpsvX=hI9A)&k_h9WH#KgpPq}D&R$@>tVUTtzFV2O!|@i>`{L?kBB z8$eOH>B2RC@kUV3v!J{b`ss7Em7Dned)VbSd?zOvtWF}j=*~QC@*E|EKB>aSMk+=| zMjjS9`i+eck}&#zZ`D#l$j^Sfsu^KOD5ui`k%PT=ad9CdClAGVqr}ppmDgo6Jo5e= z7fu1fi6mFc{AV2Ez|-+W3?V%nY-|&E_r&bWEUbrV#A^E4Ra3C(6ujgZe!)Cm^HL5~ zxr_@0!;xP+(T@o&Gk!91_TDBzMEWv}LeTBYncKkZ%Q#y~fBfl>(c_;62M5V0DI>D* z^}oOHG=b2U;WxS=hx$^*Z^SNuwNoIKLjnDPkqq!MC%oPpk$0Lw=rba$rh`Y6il0xk zvC7c(O-WC9p#(~~i>77;zwJBU+S%ziIdN`7NN#LwG^DgO1DhePRAti3YC4bpO8l^X zy}zrgtEN5pGl&xPE?%SkZ1Xje4>Zr_mfM@am{7BCoRJf}j+%8*1bYXjuh~~sm^?_PF*KrAdRHTMo$!9TmfKR=CvF6wb1 zs+sw)V;e)06q<*=nJXgZ#`ZE9A@AjHZn{D2^(oKcOWZ%q#F+Q!f~@ZmSUV^eRGZQf zG-tf8BRs$)c=cBrYzT)r1Wp8aY*>v zFl_gfIk+^Nj^bM>cX*iTT=t(BD`n|Z7aLzYXF*yU-88Z(0;zDDz!Bqed&EqEkzLFDNdwV-ZwQ@{WqE76nFPL=2o6*KM8O3g*=WJn3$RACCoha0EUA-27Bz! z{(e-}V#cL+Q{sL1a6&KG02)I{d1CwqC!H)QVrOeVh%kfR_(n<6`b9=YCc1W_b^rZq ztq}8ZzTT~zZUk20%D*<;_xtxt6$nxy^#l?U8M%_}*qUQ4IFlbB*t^LhMo~^Y^o|IV zl~G?_#Tbn<=W%K_%{oCV4!49r4SRboFeF`dzu3XTf-w;ZNtdX+vND!(i7Mx~g6P$; zy0&)EOK98yWdJR=Sh6{oHCbi!@Si_W@yj*Bkc^*?wE&Dzd8v`a6}z8Qko)Uw3J%xM z($QfxPKIM}f@}$8SGlncYF}1(dA$@Axl(T_bC`G}SgT_z9x! zy`kBy{@W>R3H{k_e6~Rd5!kWTYniSh4!8X@RB>Y)-~Gmd@T`x?wdxJuE}~RrC7M4 zjQ24v2+vc8B**%79Z8JiinNtaFV^=cDv_Kmr$M2T9e~2X&{`RCEG->e)M~kyJQQDp z^5i@Yi+KbD(3%&E^?qc?;URyNe&X!nV*b<{?kUApTGkp!(im#V%mSZ9ng$TZ1k?E49GK3b=6k0w17C!*Vj(T`# zn=uC6C*R)}G0o$@%HKS=^d_UAP!@WuIXm+F-I7rcQ+r&pf$$svZ-d{T;UOc?)6-iO zzsNe__KQxB`RqL)THE+#Bo*#tSmS^IP<~=s+T_iJmPmRxnjTo2D1*%(rKQnZ`bZ$N ztxE!Gkm|KptML0&0ZIOfRDE%{2=;B7 z{x%dHaj#|-$7Z2nT5G@bYf%cNzkb|Eqxsp;Y4%vAE*oq_124v|6qSu+G=aU4^4?c& z*t`#H<;m^NZ+wOFW!i74cayLiX?XM;3B@>&(viN|K#W3iwTS$2;2{t+5ef~dgIm(#2 z2ne^Gt+GMq+~P?J42vBoJN7@%&=kBK>iE2Hm6j`P zu;M4v^l|=f)evIp2@A0Yh*z`G993_L@{b4u(ivO~j~+b&39-iek~f}RKOmUKSFf5& zir+Qk#|h)MAUn*|MVKnaggeBj-c@#}`Y|>2C$L^aDI%BW!!P+sI!9d$(JXim(N-}6 zAkB+WAaNuMyI_`=mt$7V^L^%zbSOFD5aH}Wq0q^w2qY199kLY;`AyqPv_ zZw!amZzb_0OtN!`v9VeY&^?gE3#Fw#Z#C4#R( zrkEo#WgbiP)4ELk)GOyY*g?|yt-oq&$dUx?yS9s)i`)-SFTJNPWo`VxXiUY3dX|>V z!XhFF5Z`8r?n1@aWk@uu=Uw5P2TOBEvdV7LffMcgR5)mlDJbaEo>f8;a$QX8{uzk) z4Nlffr$HWOv{V>8TJ61Te#!yD`uwhlurQ#b-yIfbW()w$FXDte3#B z-t|!ct;u-4HslRg2RP{g7!4~>g!l0 zINQ^MPKkpC_+pxa1-Va9iq0*!A9;kfJd9uIRZx)hlVrj7bQ>9L_RNe}!R?7DDYEb1 z^HkX{riSOdLKG>yGKKJw{fg{~SlKiMC$)RLc6`Zbep)gY3fUdCz3XRVR z{>J7ey@VGa#Ew(EK0S>_)w7?8*>qZVUHM4Wax`^y(bQFZJeGn4D>pVQh=_@07hbp; zlrwMAmsBtMQoNfekOJ8wl3FZmZ_iHju!9iF!7(_?VWsCHW5GyjbpcK^&F||TJP<2V z+r&bZxwlwigROh}uX%-VO~Anp7#AX>qN1W@`!oaK{wRq%_sCarFs{RK$0L?OK!u|D zdWsBd1Kbuo&=NR};LZ`aYzIaC6{CIUT(!x$chREr+`HL60i2e`o4<8-*_vmQsQ_Z$p0@6?WuN}c8K+nvahBbIjvw%<^ z0)d3)*|TRt*2K}bS^4q(Yj6568-kXv6AXutrn){;jQsxn#o-z-&%-gz7vzhybV(Yl zb0M7Yp0zjM{|d1PRlfNS;01uX4TXfiSvL_PLI$2_R~j<4Dr^a%NcjzKuA=A#UYx(+ zfA)-6=)*3c?tr=c`TMtQ-m7oWI}}PcE;o88OD!ua%YucO!A61PFA1|#-Co^Q^SxI~ z6%7SiLt+}($Ld5+6g3P!#KH=kcVQ5Exp_o-2e06^0z}CcdUS1OCx4BQ#^j^L+*`^~OMJ~z9V<~u5 zjT1l%xv(xv2q{oa6~RJAIbMelbQaUZY6ID8w#xPe!5>GkZ(kxY5mYilBNE5>jO2n1WEdN9RUJj@;w6Vq{ych~(b zRWvU(v$Q8qCuJfny8C|PIc*r-gG8jM89TZ}jEy>KOxAH_mxjgsgZ7{CT%km<7S;8iD=ujyM6UR9K%EOR=S zk>jWAt{FBwst`WmmwCPa+^cT=aEVtHBJ$y`VP#if(Yri-S5JZU_t3bcj6um%Xjw1l z_F%a^`ol0#asWr}PvGhveIa4{Prtkz(s5T_EpM3nn82Ddr@GT^+_#$G(Rd&DFYop+ z5cgD|M_29p&-nT}u5*d_#^Hcg?gDcTNC4hB9?fj!AbulxQg+`EyVSP*L;%w3ybRt#BXcM>M1{eMrkQNAk;vEqWN(1z9=ah!|gF`y@G4H z)~p}x)fvcTSro)2s|n=)4iiZuQMAR+ry;ySyBNF&d(q1orlYXo2$;5C6jc)7U|1qcWvx&h(Sr2`bWDEm19+uMXZH$_ZLOc)BVN!yL%kWK$0;HAwjH*ZYX)KHT5d+Nnvmc0Hu+Y0EUmx&5kHJ2Nn0wVPz! z8}Cvh&JsCOa-YZ)ai7Qg&G+KqL_EAX9yWu)kb#V?B52Wxu0%L=xP`mqIpcJ^G5D!E zs%K|qvtfmgEP(b$VIjvpSBYH6zD;#i)y#&^GgZj-_2PXb&HY99Mf3f&1f=D&z(Po9 zXlQbUtW}$S=*+InrAq&bPqt9;+ZYC*h-EZ28SigwJgbi%?pM(af`-unUEOgW8PpFtB3rF{$&GIq6M;!kz42=f7G)b6y*w(7#vvKYU9_SlV;5#9sY96(zd z@~@{SCtxKW0n!{cOplI;C0N!{RR6o*k-Ftthz*)6-Aa#bEuLef`4DMOtZ-@p7ii$>n z^OX`<8Wj9C3Kt$lky`2ohL>|r!&a=C>o})z#ov>XMu13qqGi7H>#5GWcfVGyvQ(4! z$;Vc1hevN&BH5aGI}n>C&l4DruKxg;9UU3S>;uno zz&aQgyS46@8&9f^eF8G`qiJts^uJ6@kbB_@1_C1P^F~fFD*BVP@RqR%{3MulFhKr^R*Ze(2Jy+n6#H@Ek?v=8KgORRSC=nNx(9 z7f}k2sCuweSsQOU5KhTM%D64RJu~*!^^YK*pVg1kc6!`-S#=e%zFF|ZJAqEGx)iJU zwbf{VygTcXOy2TT!P3-8kW%hnj?+99mk_rRxLXwzJ+k7KM2d_6WZL|EOpw7j6Z+%P z0(t#p)wk8VKDhgBWAOkG7p9!R$w*`)m@?EbBogbxn1ox^o~&H-cG@cGE%Kde!?4HDvFU4^J_FmBLS_5$)@bhg-I-@9s;bK! zp@d=ePK5gE`A55Nf%XKZ?5Cs7P4=;SRZ3TvRFpc(wpf7D--ksz{gZ*`T8lpt&oM$W z)(`I(waY46bkS91v_q%kLlg>E&L5_b>llr6xu@AD3fyEJOG_qgK0>6DmvkwZhKezC zXm;_+n6v>$Ox|C_mVlE(hv{t|*IC4r9+x6z9qjBYk~xaDGokKmR-Q zW#%-ysAwo&#O7@$BuCx*Sv;IHHFomydGU`7nZk3b`+H|`Wq_dSU3aCSL}9f?M6&Gq zWys)U0+b2}R=|f7va4N>&yr%&-&EOM0qqQY_o6+M>Hr;5og`K2faFBS4?Z2|lu2%= zq81Cl{4qy3SvSE-iL(k~>*8ee#S?Ty5RO4039+E2G&MDSTw;`v=O&9lHdTyq0IV;L zJ`0w@XY3t2TBn*qC9rA)MJ;)n^|+5&8R<)97NJ&Lyyj1i_7G~~N4U7{+ovnN%xPl{ z6Mtta-$j3*k?^I=RZD3DY@d+RxmQ^A!4%n@B={KXGF0Kbx1+Mn?*hCS%F>)r1orSL z!a*9P56XZQZAPuwYbsaIJN9#6WM;gCegwu@1`tRzVtm1o2{wk6wI!5D16%yTcc7-8 zIH5EsL(UVnOwLtL*y4AIdn|A~NLS1J*R{U%O(!Nugd`4naqvaQ=`!=M^UuxPdD*jf z;1FaL_x1Ls1bQwov4B7GU^)l(5b{GH*!B;#0JLE<&EJ(sn;)1ZDJkVC$raxG_}ZR`@dQQR z(6B%dE&lJh39VAv%r!|GZ+u{k!CB|de)GSQ$;WAlG3Q2RBcPs+jEp4CuDY2@_*^-+ znE_3r%5FZN>|+MwtLt*7O*KkE2Z-fxs;YiaBIqujR;)K3KdavR)BcAuZoh93Qps1r zqgx+AqT{gmv%TF8U{u?xUGuH$gH!~N83x7b(9n>z(x$eS)>5=Q^~fe^W){#RIMaGl z8ZiHtJLur!X8UUi@vRvLtRg8Nu2l##xD(B{jp&cAu4Tm1Fcgm!@gQ!QnVkgy4QI)d zdXjZ2kZ(v@zCJIE9Nw77lLC9xdsp;7n++%^<0gp-uENYJlGy(oyopbXxi!*H|0aTM zA`G9I-IN^`^o(-#;OT#ncUMHIxQU9C7+G<4<}tz-iJxg?Ja9yKU$gb+q$`V&;l>+d(AyjP#bm*mY^@A=LnkLEa8cu*i)lRuYnla( z#`f?=w%UPCO0pK`t_AVvXFYjsTU%Rk=j&R2LI;AxbadX@&k6uL0YpH!Iz+=1ux06^ z*jN;)kjoF?5Ch^sKB-aoWViW*s80v&?^gGcXUX70~x%g@jM zn1Ms$xJDf=$R3Hs9$H3!w+2&;p+!dw3lCR+^(yIvjH>SuDmT_DqH@Mg{?DHZdd*ws z*UJuqOAdlh)8^&6Od#dlsq}Jj26g(F+56)=JM0f?C=gY6W=-j^O-Q<&IznRl8I;q{ z8jr4Tr<#1~@duec>vfo#DrsvD^b`6p>c>kzYSx`-g;4Z>S0I0 zU>}2W>;6|4?x44(bMK;eIJLvLV+o&JG?w9@a)+-Phr=xMFu(DN;Rh_Ty)%LIBaLY5 z08#1-1BSn(pO}1~SDwa4O4W4%&^Y`>IyNq@yl)KH#;L)LalLRX7Mn z0Ja9;hvTSvpE7$*i9lovJLfdcOj&6ukF&G$0~9na7TDFoto}t;{wD1A0y4{VX(q|U z*x1LryE{XH=Wf(dXaLNz1SU2lRWT^?#7^hI!w*@M3Zv-h-j%^CV_9UvHD{z=DGE|{ z-Q0K^U?_lWN0r81&%|aV6;&UyW{5}I zPb!Rx1~qSC=;P|EUM>R(+&uAwZha0R;OXh<#92VZ$p1j|{yP!MeBmH(OVkQ)3h$i<*$u+>aLB(^amt^8^sh&>L zA6#r~n2(!pCh0koS0fB9mlfr4MY^}O zv$i%d&`{*^YGB9q)88#an-0(drRD=7QjevTwxp%-=yF}Vn^O(CC0X1NR4`(A$XXQK zdf}grO1ZEw3=YRUkEUyWT4QugWAb{UB4kHrLc{Q6c{H>LZ#}p6PTq_Sal`DfO|nEP zFY$m^1*D>a*HdF*tYz=jRi6bX4AN#=;=NRU(YM*n(r8@ABA$b+_-}J9Jy1_I!R3(0 zdQRf0u8q|Ns)9ga&4AJuo(yN>U3&r_U&`p|Qp{*)%Q3Y}zq_wq*4mN4xN8R$TO)9I z+0s(BuD01z`g!oXUjG3kcF>ao}|oVm2R|~KcO_h&UzB@9e2b_9<7nw96awg*Xz zH>eZ>b{&>!KA-lzH$@(*ydG+;Kvfs0MSBBM_yY-7xn^Z!Lx2R(l3jPyGw_zZfo4{-9{;Muyq`qn#fwZJd9&#j$pGM=>iL%i7}#$B?zC^ZWCCdB zaM%6=1$f4;DqB$U*d0lw=~Fm8tv@z4W&&I`z#Zh>+ytnB*ckWq>jNJIg$0l*o9Q=W z#cD8e@G>5IpG{i|0^G)6E&xPj02G1RX13Vm0}68dY0=4OXkJ{`qDZxTfA$UnSzTRy z(Bpm;H(^4+sS4`crmtl~jvk&tuCTE1XMTQI?e6dN=TJ7b_DCubP%>%0s&Ys-~l@3?16^;;c7Gu)X;tAvm9Ci z4}Y=s;zR!RwIqyb?sMwHb^*0BbY%>njOhQ(XVyL1`jbkZaivTtP|FNalvR@{k~RtW EA5?khW&i*H literal 13107 zcmd^mbySpZyY358(gvVNDx!ddw6q}7AuyzL58X(M0sUxNDeiOG>CKx z3`29C`F(ruZ=bc!U+1rV)^RNdo%ea4yr1j7@9VmW)KpiXAf+dTAc#Uq@rf1$;mbe} z-dhqP@D0B{qZRl;;32D|LjwK;kXXF||G(_2Xy5@sWLI&2@rI{^P9cZ|QhM@O$2Vhh zdeh_iV&KJJF_c-NPh+F6@HMreZz8@U#!-@0QGRL%S_+Jbz z2M*d_gj8n^eBSgVO{G*)hMLN9uSpOR-s8xp6&Z^OtKjaAA4?8v=eK(AjXh<0W4zt} z2vJqHyzyuot!fk6ETW*$QscO0qus{&C=>N3OD|J+m zjOEchRdAt8@X2IUrv)r{Lu58Ud&o}5sMfLj=;&T{z{j?erZ#OOqja`zLA9_B^Jx#H zWaHj|cyG{is9heypSwxNYcksCwf^9uw5Uiaf{JN%(jKB=3ivW*?cmM*^~;%tZAnx1I!ubT~B;dIq758PuYv4Ko+Ov`ql#_Yv8)@yS@C?+O`Mxtzb6CxnPBax9G4iu`;SM9da zA|oS<|E!iSyowFl#n<`$vgU+*@^TZ!gud zduiVrI*noFgJ_h9-v{Il_HXMI=_rSrTb)k|_V-k8$H?9ZuLzeWx=qizw*# zzL7WV-bI^Uxk+h?X^;V!v0~w*i$qRYrpu=24L&H%NDycz3LnAim zZ?x(CR8?A47Y(+n$3w9}i7&Dg**+38`O5fAxka$qU!0#EuWAGr&z?=s!obEfHZ@`X zb}`dQI9E*Kkx+K@o%awyu$`@@ZMc=y6AejB;$#FqlzapK5(K@JBP0P}K}qx9Z(NQw zpDYO!a=}LtbQ2hkxA)9u$4>Lu7%byngs9$tYgWd>^G6*o-1BR^k|rZG>2yLMNM?@u z|Fh2<0JWT%3Bb}N<)@@Vp7M!{Zy&JwnmDX;4kXBBaM_A#47inL%u75PnP}|Ulq)0) z|N8HJ;v*np;rsp9zQ0e^zB9^(`$0gieu>BmYN;b zaRqbWJTlXAVl2TAIh&D?hirE)j1bN%#K(8PeyR|0JyxU1`}wO^1<(D1SbhRa+i6Kn zEehR9NLFMM6cB)6bH8jv=>*;7l+@{>X4Di11GLgbd);SvryrgJtVzG*Q(0GnX`Hg& zM?XJ5Az@*QTW=v9DmgPKfS2A$&t+RUtfOJ}=yu$jTIXq9EN3)Ko-MsUHJ&f#o-?kw^F??#Mo~7w_l5u1Y<F}vO#Sj-# zf_`+KRd8(Oh0`^e^Fv8@AUqkGaWyyII-f4Cn8}dYFO;|zeo_9li+(;+Q&(SYic;%< zmE=TiU5EJnC2@rJPsB1&GuRD?r+fBuO_sx1{n1ni9XNJ~$K9ipdF-a_`zs;PS8L}oOox~p z3Fm(q$Jga4!;SaywDZ>FFY!WR8)|;BMnCwr4$d@0W1QPte?9805t1x16m%^GbFApl zO5{(ZiPc!o^a-*&YPPhzb61jAQw8^~MjoAbALX4q9&h~~P2B^hQgVtw7A5kq_G|xi z25bCf&LL-TR99n>#u5H)?j~6B*Dg+jjW3C3-%6Yv!p?ro(Evl)X>g|#e_&10zgC;8 zsTiND!`ZNL_R`Oigd8#}N@Nv8Odeo1HBDy^;v?qtrAaU{08-2l;6c-5GCx7r@#8`| za0EGpTH%8w&g=W<-fCz`$(DWc+%+5o`O4OeapPxzjf5mvrxi0}^6f`S!8y)dPAW4Z zNDO6SfkGU9|6R=>T2%%Ol^;X+Q2jUOA9@Yzw0L>oCP11#8#k!xz-B^TU2l2o`}x#H zJWp64sNH>a_%3jU9?ERa;W_#F?2>2uBWoKQo_~K*U*Crw{huzZ(C-Ggv&pAYqdM#G zcAT|4u4;SirKO$m#Q0`S4gSYP2Fv+M({~t}4xBWE=35|h&b>^JgHhnU`oX=VXOQT; zZVP3#Q{M=QUo4+7dOL051I@AHQ-{PSUbWkxZCYPlE%lpK;K(J1KpzZTLW9?hHp;|pa_~fxDFw%)2-EDUjaynK`LU5tZcj9N87Z|}H4wpTbwX$mW~aalh{3-X*h}94 zHsJbz(XLW&+n8rir}9^3LT)J>mb${aONTIPuCK4(*x~9ZY6ttR8Sjp-_9%KV4^>rFMYlwHsI21! zMSXjQwtvVYvv*%rnBVv}6eP3OnW&xY5aCl(%a|1UKJXzoHa5OX;glz5P}FvdPVz#T zc%jNRLWrLqxKWO7sXr4G1!ej}8={(@+y)6K2;RavEqxDPH3|nzz>F(nbE~SV{t&_M z#io~!{%{sd2KxYFqwd$)f{3Rt5cy{)1bU^kZf3AN_)LZI(e6hgBK6VDU(bwmLPA0+ zihVz8ab!vyO@mwbbxWDufi?GV4Z{}rmS5SyZRD8hfK2qM$-mXm^dwc`z<_EBZ^|6}O-Nn?5 z?0X5_ADK5UUAiYIxF5t`O-|8LzB$?UyU^!;uw9R!HW(pSQ@=>35)Ml_g}IsA&z~=LzdvF*t+xPtE-9;UR zT{U%+Y6hb8)KpHp+eyjATX$Z$9NJps)I}BX6Q_MBga-Vpq+$MJ)ZY2<7$w_r@2FLun;{5j+*(-8AxQP*;Vw!O)H(LEo_k*d1#EzG0Qb^iHMg{^J*uL0WP zrLb65VVCaUZN>aymuwx*A_w%+e)m1J)s5fVi+2cEzTPVdPp!<;;+PCp;Tn50g|3q< zApXfmj=^lY20XrBGxTd!c~G|mA3af1N*JhNzZzoa_3qoeE6iW&hQ(gi;*9vP)+{|r zCYTk%lQM^4e$tYLC7R-agN$b#QROyDQX>9PQE?^JX0__;=V2Sqq{^$F6$|}atD^3I z8Oni$CTV#D?J~Uh;4GOD&s6uepcMR584BeJ9kZ2<)XkpWO)9mRy&^#2P_rt z^m6`55!Yj*Zt0oRn-;y7!(?$$Eq{B_a1;eX-CrT-t}{pwj`v42s%FG(+5v6`B>FpFzC(y^buH*H_MxiPGB{S?Z>1s^uHYW)sa#B?H0tugBY`5k5w*w)*aX zI0wIXbDpp+n>nw74B^dcjm%1S=n*~hH&KVK_co&R#t|@_1Bt_k%FgzuOOR z)9IG-#81`+=5Zq3cIK|Bru)QAyRIP0nNXe4%LZ%}FRz49>pN5N)}NiaIyZbVjHwBX zl2i!3;NdCbsidb2Je+^Ezbz#CPnWP4(?LO^%WNgOjbLR`3H4eiDRltH$t6XtfeWOwV3KNH8$KTyS#Oc&&yMb}p;eDxYHdi<*!&^h zA2H#1-1NkFB(2&d-$sUq;Z4Yd?++e~s@L$o1yH|OJTksMqfoU4&jq#7V|^xm2(xENvmvjKnEJO1tmCzb!{%}4>#=cw`CTbqVp2a77|jWBL&3Kx`KM8hFsmp z9&5FehNMBYfQgu&e<&nU&aqHu=ZNuB1OFUa>KA7dTEe`t-=Sb*id|3AGa16Hqiej@ zbp!X(XLUS0s@PT)q>tk$nWZ*%uY9D9Qrqs&R#v@CZ=$&-cx)l*q#mxfqEsZ6OtV8} zN|3YA6}z53dzwEnF|jXwu_x`f)v&zZCxEo;jG}R7riZ^?Z6U!&K-VZEz!2U}d?Qn4Pr$t!0^W`C47nVU(u#O` z8<)1BTLV?-rh!u@EI-*7JlaPB7N@+6$zRs=WFk<^cjq$CFYDhPUBLm*@C+*~!lX`j z0H#i&3^Bs2JCPx4XN;E z2}8E{`9d`5;HOxr;<_0>mF>2Rpe5S~O2*;My4f-ZbXkM1Rbklv7a8GW`Z-&WY962X zaL_x|l{{%a*=hpWSvILW#ovYn=~fb%($do7EuS`o_;$0vUX|wk&k;<1ior)I!K=UH za%oG#30E9sH1%P(Y3b;^=D$7CWi4Zs@;U9IlQZiqdEPL*DJMgrPeBGfHbdQ*9v%H0 zb8CBWbo8!G0E!w+^7jcuaPhGm?{Pv_Xp6aA9XmUZjg9x_RD(7^AbD_@*2qH(zd8Zb z;ne(d|4SelpqB}H<)NonH!)!m)hSkO*+ttwFn}m1&|9rJ%T!IM^LNbmK~pYIhzAT^ zN<8Skm%Y*@eO_@6m>UzovHWwq;LG|zeMs{P;>U7iWb`AN*DqgQ69bNvf}*8hXowYX zP}lu`evDPy^K^18Yw6U(TlrOCi6eDtEILVXvD8FsV3SGEk#!vv8N{jONLtGV0^;OA zbK|XwXObBXE`MRr@#!A2#(sodDc<}><9b=sekYx2eSi+6nYx&7rlG2u7-(+o=X3V2 z{tLk+LYJE&PqE*>zrKBCA_Eev1 z!oTa^`_}!Tc9GNu{YPXLGGoKcx}#!Ay*r~k=%T`mG?4L8D)zOXth@173f_1u1Avt zE>hp79263sv~~8dUuVg-j}*b!)LJ?-<7Dk(kG~v16B2aT!EAVbN-TZ&I5U<20-4ix zEZfbeiv9;vdQaBt^EUsY@niBAc}ZT}RGi5NCpOPac-w@jL?B|8dLZ&nXti zXs!&h`cM+Rd$>uvL*%DH%?3K5l0N-1R%(>8SEZ7|)8HxCuI)@kmFM$Sd`0rH=HYEf zO;z=$pc>9Lh^d(RP9>6*SAqQ=pJUs$e-9CM0Fu}1c;C!GQX+8%55g=(L!RfSFJfY2 z*MG#^demVC0yrGK>Q78d4YC&^Vq&hf`P_X}IwQ2UOtXE;l1^CU|af<3B zA0vqEp7-@Vp+1E3exWlBc-FQj-uB5?qRdXP7%6p9lEXods;j=_72KXBoEM>zy&T$kP1v6?l8OcPGL z*0Ji}54W+oe|;FZ3P6x(6Nd607UPcsIC^qB7r-Xm&#%!;pQxrr=kf&1eX*-}RQ)bV zArAsOv9m**yj=rwFNd*`?jr+W3WJ0G|6m1qMq%&6OErJMX(g2h$n!SugbKUNlmM$X zx&UZX21DqAZ2W$xmbhl1ZpU-o?HV1yvGwyPF*knAB3Om#1;*4+Uw^Q#?=4`nrOpp6feDRnc6{TYWE}4vAQeq#y%lKCwY48M_nx;($O(8dKEPt1SO=gk zS=|Va@3vZMlfF3hxEVhG`wE`SndrD4as-)F z{pqNgnKCju9&m#sF{9dW2QJ6sS0^9FArSQ)p!`8}>$h3+2_%PiQu7UVw#mCjiBH(Z z!g=urZ@Dz*wzf*09d=2N&38ngCX`=gp{?}%*(#9KbLQjQ=m;jU4@cX*DYk-AL2>gR z#6B6C+yeJ$9bJx|J?)FI8xLEr0@P1xrvm%Bt|2?WWli$yC~T=J6U02ypF*Gzav6UDn%x&9Ozx< zw{g^qChUkJUN^evF9p#~_$kq3S($T9P3JzQe6}3CQ8?fStwSh4tiddWjLf_HrTjbi z4v8-LhM=CNFC()@Kx)OmJ$rs`%)@N$x)_}LN1*DMM5ZvRySqD-Y9uaBKsm23lyDUI zs%gF!5 z{f^_r)Bn>SGiJzs%K zLSLpjtMofOr2H^b=CIT|Z^ww_%nG9h2Go0vqXD(Bf@51Bu`{zdAh}9lyKl zTW?P2Qjlldzfo+`)|!qjB>Qk|g6ls9ATV}){^ll`wv_M4e=U;X;1 zDQW;n0nx3*MWUm62Pu*rBub49HiiebrWIzdd#FP+J-{}qX9Z{j;7Yd7cbxs+Y4c^L zom|vbZ;17euiSY`%jx+8`_(F5@l(YBjuK&fYB(GmOLzqGPanQYTO_*7sejz%jg4xK zABp%3%#miR8YeegHzjp=1J=h9R_a-~Fgt)|@w2JMa2|6VU}|>Hx~In=~xFZv6%jbhR5- z3y|p4z`newyroX3NTB)Cd4BMg$P$@zx+*PCHSx9?8H7KqaH8}ix#b#+XlOSQA?)~_9-b}XVeK9~a z_79kJj~lX{%~am7)4OQO9aUrD@BjCaz9|9As7{4TnyyOI zNMd9)hyv|>eM`2=!~9x^GPjcS?D;AhSu|9ikA_oBzhmdl5$uJb^$Etr!Av=t;>%IQ zVrr?1w{D2$0)xMM6%)w)tAz-0GYV*snUdnSmDbi8A35|E6Bp9Af8Ppai1{%(8!STi zo6}=AwJRJsBLim2t+%W8iQ}4mrwN(X<}uqw7Pbm0)vKe-NnxoXP(6cO!#=EbTVR*} zR8eX3(%_8pXu04QVJey1YBE`ey7b;0AlKjnO5G{>s-MSOXu-u75YWyaX8G+Iu6{di zFpP|u!#Jsk?L!w3Pyp|Y-f)BmoHieyY!5KVHOvo``E?RD_>~M)plok-Jdb$^y>8Us zO1I&Vv)&Owpk+lF1{_mw!)TuSy& zjJ!Na3ODrIGoR63tSF{V%kS2eqIgS6E%C~wNO7{sr_Fo2Ra}6~(Rr&F+$E0sX`CO$ z)**Hi`Q?^@1_3%RpR2%8z477UQkvdgAZCbpn^94!EdOb9ZGAFp1Q#%kl}6K^I_FVd z0E~b3xb)$@s)HM~E)NJ;d`Yb>KYMw57X!D=Hm>VOOWS(?(4c~SO}}KJcU)KGRkZmH zkW{-LhvN7EKp?HGXbuqa0(}BRdTFVtl~bOAp!}c(%D)77yf>;I_P38Kgv(`Hi*BX_GO+FNX7Br0}DRGP&fycb|s5 zWo<73!Pkz&$*Cd~vO;;pF%>H!2fAmiM5GxEVD6R7Xda!Kwp*6)&HZjyn;bG=y`z#Rq_-A zRq$=7UF4T?$E>n3Orm8;oipjVw;E9BC|elLtE(S;%W?9Ms9Fh)fd0sU8i6{hT-N#* zS?u@jdDv{QC0quVuw=SvTi4dMz@f|f-kb6w+zk&1cn(7BcNgqO%d3C8s8)ybfam>( zXw#P(0IX`S3*a|ACMqm@Q(~L$?p)9Zk=~)T^3zKw5`Py46!OFrHbkv?Mgq{33#F z9lNxK;!d7j0+gN6elst&-h}o$TBk_2-1!;X)$XH=pFzeO6JFV4<+F*}H_6u?Q7C_~ zxodYQ+xR*&=4!3Tb)&!rT74LUZnEyTE#BisvziUFTzmozkBQN~@YtEfr>{61et+$G zd5M^`Sb~HHpIQPjYJQE!Z|0BgD-MBbvoJK_@D2P|_madNWiLhx!8iOujP&o2>*8K~=!l>5TqT+*OG`q^7;Esx zjsd)GK%NfWmj`qt$kRrXxKgasI6%EcO?5SY2BiwPKlB~!P{s`aob&Snsoa{M^Weyh z4eK!3`HXCV49ZAQY9#ZjclLtYh%-scVZE`>wbA@_wYi*#X^9Nbss)7+2A}NX6rTW+ zU<5!jX_zd3eRZ0q)%Tm{a^`z)t~@G~Vv@kE=N4Ja-XE zPZ7}pcZgmc%yn@9DxN%=M$UDJfC94f?X-!hEW1&n3Ca!*W&OAqlv2GyhNZVRr}GtG zdv&^AqhVo*9+_Uo^G%p8M*3s7&|A|!4!*u`u_A0&LPE%sdx@JrW$@ndMo3}z_c=kP z1Pm}O9X-1HWk`lZCM5Y{jzCj-G3ciGHEWz0FViV4iZ`lp*WbrLEuvujrZ;GFI7iU@ zF`oC1RXgJ&M#-4vBN|8@J`KZ|1d2YfBo=VpAeFK zc|V)e45FcrL;CGsbnaFe>~4z-2;>1tZE@U;XCZcTCutPCqY_4}^k$1gxQ2V7$< zIbBkpO?T_|+?+V!#g>&~O!TcNw@M5F^%GD5@*>$mvkaF#T)Rd`7SyWqqOwi#VLEwl z5o$e^RY*{bQ$~hKBzdjQ=ygRYx9;v)24yXdUkn4-TvxA8hYmk0E@=QU9W#0y+-Fd<0++ zz-irwH=wIVQeST@QMLiWjOq8E+twnV3fhA8S}3ncX)9}JG#Wk<+1^P**4- znOJgO)<2Y^h$%?CX}EZ>KQ+Zw?uwMixdKj^{*7J)v;LbQaplZh7+ga`j4w}1Nl8S6 z#KxFakRJd2rP5Nwl+^3+uP@xoraVv+jq(WzXY>pVIv~aU50!&ay!Lv_EKatNk}4}J z<5B84y%-o6sC;*45-?=~UDqO?jLy!M14c>bwEk*&kydqW+3=q~Rs%C$-Bz-;NJs__1;F0qm-azH&g1A@x}7vxdc2=6$H!mPQMKWOwI3gT_eZ#GVU3=dmlt;6@C7%+7!Lr-+*)vK3fWG=b$%W?lB8Ff7Bpjpy7j?>BHzLG(i?JFdj_>C<3Vmz}8XeG-8 zLyn!{iXI(qicU@sH^-~WS7r-G@7{vSK^>PA;Iz5&hcQMO`)sH?qN8GFFU+O6oA&BQ zcO036HohsHZ(F5t^!N9Ri6#4$ClHR}a4l5$>hAxy&0^Wj z#-`Zpmx|$p!q!$(8{9u2>0BLSa*wPKWPWo3-X~E?J*#-dV}tS)aGBCqaxI(!n5@7Q z(;-f8Cd&#+`P*?B)Yl`QM1?bVHwlow^ux*OS3zYIh@tr3zE>4UI(l*cx|ZoIC8#x1 z)@Jc;yGPSsTY%z=qaVS8F6=|ItQH1SDnDV`EI12pGYPBTvUoRLDlB zOZKg($WZII^){m&gG7IQ$!&6mz4hB~xsI@-5sxLNWVrv~=1S7+4`}ctU6gdc9H2;iv-C(ujUhlI4~NP5{p36IA5OV63Q9b`5>LVHN|*O{{4U-(a|bAzQfe~esu-r~ zUB~=6y;_14>gc4b3dss3!QAg)T3s8T0bzA}<=|Tc1doLXa&8APRGP=he7yiQOPot} zthZ<{6P$tv5bde{IKJyOpwu`XmR1tZv5x_F1d2<6Yx|$~Y55`FzA=y*f*=fl-G7yB z{oj4cbmF9p;KPXE!BhcT<<@N+8yFcGNzZ_aZ*PCh_{jaUO)OQ;Lr{&PvjMpC5s)t- zHYe*+0%rgIbwgRGd;>8V+BDd>yyd_U#e7R)BS@iJ1X!o_MQ(C?w(;9=>MWcEGYY5GXOFNxW;+9 z@guUzeNkERWTR@L+CJeOlVouhbMSNA(#y&NHyw_V7pKV3NtcOgB`S%XklR;Um+|g@ zzjrC5xWRQk6h~N}^|qZxvw;F0PTJ@qK!fAXqfo$hz|PrOeR&{LTacc6wL)A>j7`bI z!vnWs6W{r;zBcX$4|KLuAZikja=Zxk&3Ife_9%J7n14(MSoFwawm62<*Zvfd;3)HX0e~yd0(z^_| zw;#g&l0jcz1#WNiQcQ|5K#lQS?4eOoX%Xvs$2d~gis1&xtpIq$D4_1(r1RcooDBi-5HsOW&Jm|r z2=;FFc&u*ipb3A6xTB==R2$q8DqNlCKc$WTPkats5Szl|H(wgPy9*`{DaorpDU&q| F{a<83t#SYW diff --git a/notebooks/figures/05.01-dimesionality-2.png b/notebooks/figures/05.01-dimesionality-2.png index 7be22a560cea2b1454f2b037cb71031a94c8f99b..a858e89384dbeb5b2faf8e19fbafabd07fa5887a 100644 GIT binary patch literal 28105 zcmce-1ydbe6D^FpyA#~q{lSB~ySuwXfZ!0^A!u-ScY?dSySv}Xd+XNs4?e1<4rgZ0 z%$Dxe-FvSUp(rnj2!{s;0s?|4^<7LE1O&7OIKII^0cRGdDXoAH2p174RT$vU7sfOk z_zvs%UCRXo1Rm|*0Xnj2aLugs&NwtFqIX_;v(}7@Q!ElrxG5B1!H^ant>n>A9^(&0e93dzm z)RD8gMo`J`e!sNI(tB3ZKi;117BmcimdP6%lg|B7pyJ`d4O}SKNX*WblaoVKQc}|O ze>u3nSi`<w_e2p_!r}L1PNb9*QB!l(I|4dyy4GZ;Nsl!YjXPKPwCBkEyq~D>cWO#<$&Hnj zHBHcu7kFcZX6+A?;n?`p)Zy788C>8AbH#E6EiGvjGAWL`1F(Jl{ptK(tXf)HAoQ9w zAc-Sl;^L64t*zvgl(*SezF{pb+@E*3Um(oDNP$#!e|o<@U2PfKM&>h{{zXY))RWfI z!u>C}_D6MNT70~)y*(o&Bqaam^WOg9VV(PhHZ2_;EIho)dW#bRu^>TUfn*$Oz^AW7 z4Bp^sqm7bUvQ2d-R&Z|*(6rjMi)cc=6j*dhkgmcO^9ej)fSh= zT{JG~gKy{fT#}HH1y|}c|9e4MdAXE=g2n6o$-uw>NY~;q$C7UUPelA_w`_|XuVN`7 zQ7LOi)}Tf*pk4I3Ex-6KTY?)J*qa=-CZUOadsGwzLT4<=IXP3Hi97?t!(rSnRtKqa zeMSDrXNN~eLwsXmimRxg&k6YSVwW>ns?ys(I%2b&{`T)glkG}hzIc@9W$Te5Mkpja z777v3}DM3_CV4eeVGuw3;l zX7a`9^*hqm9J;ewpziGn(|Z*;s}w##O)N3>tIMI}-x++Ma{C8VW& zS5`&?;q$oM2fk8ra3ljSzXnXt>28ASt_K|X`gV-zZrLOb6&riW(zdM%Fu<4{iUBSH_~}rC^0cH$8!WSKR@2k@$tui!Cr3nV0zjL5Hd0{qSvYm8H~ba zGZ{i4^4tdfd_NMp+l^v+)lv3&x;y~-co55X`AtwT2k;9vhfRJW?_-jHjl1+hmMSJ8kxvZ=xEmECW9<98 z@7GOye0($>2b`K3OS&wGn4}~d@XN0=H4P0F6%|o8Hx6iIBGc3P(zFS4z}|5MyxH5` zFTf0e>5L{4$T&W>wB^L#8;*0B^?`$jFEHr#Pm`sj$AU+vl>NrV)!h35n7o3lEQ07y z1YtEbWfhf^wPvPvkE_S4xn>80*||BukU_zr6g4$Hl~@iA4sKR$s&C%5zH+kpJe=3; znvEK@nWz_ggP{|Xl7P-N_9OAzSLuzCGU05N$fM|`T<#dpB5d3bni*IQ<~<>uJS%F00gj*J*>w7GpE zQ#Y^0Y}h|t;S&<-9dVG6lD>aceW19sZ*UVJvCHit2RsLVd69&CaR9%1*Rw$EdHe}9c3{W*xJgY-y#uTOYF$GGBlPt2)O$mCW9xh7ZHl4c;!2sB6@8sWMn+O*TU@L*CM6|ZU-u)UqoN8M8IgPeM*1<8%LhYB zOB-3G*X}$e@Wg)No0?y%Ny4mOy)-6C>^C6CwIOD1P6-tp#N%?v{_;LEGou^u@!)#7 z-a6@G(OfpU834>5=*Wkzo!PI5d6p5z0Z!>T_745(ue>u}0Fq3`QW*9R4oE_JF5K$_ zzWj9=v5DfKuiZvKZ8zGIRsP6xyu1T;e1AL>%+&P^mO2)S@?&;ZIhIHO?!RvTkL4O8 z@Z{uVU_urvv;e%{cW(!b9S9W!NYKEr!f{jb^REj9g8lZm+621yD={&+*vc|P!rxy| zTwEOczH8F2GipY&;;1Z!iJl%oO^pYbk1!-c>)BRNz=aQqd%zV{RQfkNeL%O~lrbo_ zI}!0YqX92{3qa12|I-bxnXn4B0%lY2`PBUd=__E=2f^6=?p)P=$(us2B_bsSOPLrk znawv>B!i8Hj*iP_j^NPsLJ0&4%jw_V)$>e4FN)lv%B28m}9z z%hBZE*+W8lx|F&3A!KfK*ByAr)25HAni?t*k-WM(mf!1ruPG}F(7#RZGX}u=fwvSp zY<0D4*dI=0{&hT-fTA02UuXL6{(30NwV&q_R9L~ z!;u>I>G1NG5~2oDqHBH!GQUQf?v{r*+fQSB#6`;glYmZ}&UH#b*8h^wufe)0Y21p$504a3hjh~0b3 zoA19no8~!Tem(Vw$Tsy9x}R+?7O*$`u35S;TU+7_cFtj-bH9$_`}{GsBa@_);&2q9 z*3P0W+mdY$C4W3tAK>#Vsmj?<$%hif(-fY*&=g+Qy1DJ%##6b}T5;;_ebDph!0U4# z@*9Mwu0BCB5_|PzQ*yhP^SaErZaZ@8yFMS~f9-)`82muWd!e2iFEBzdgPu63dc;$| zFn+qe-E_*FgSzeA%(dy;c+((*yY8ZN$!p&Nk z1@u9OvQ5Eny&h3GA}?fF>!ool^k%^TaNrQF&))0Ru&3}Dl+WT|)J5WoEcNFJI4g7;i2Ga&{TO51;slJYmNDh{d+loRl#D$d(l0ALMK$_3z;b;J}J^=$BpOgI# zhe@FZqo=5*-X9k5jG#BydNjO6LQ0vHnbWb_{dFJ4bTo#%cwPOK89aRP;J~F79i738 z<09~MP}rn^ecMN#w14n}Trbcq*KE(Z1-uPP&zb5%(FxaLWBix_l0Y#anQVEn}E zHEM469>fMhSoTUwqg$-MU0r>lzd$RXVVRK$QXJ+_Ri5$M2(FEezGTA2)vp#Vx7y+D%0dc}nvWGeBX&HgqM<`Ni^=aXomI*&OLT_j`>A5Nm( z84U-ERq(`-@Bue!rKJMIfc47Ht1NS)_RgUf?Dd?r6s37QsDY-7ujF-WO4 z5WP3I-8RWThPCM|IEb443?Y)CH|tx(P=;5<{pV}W1GybNOM}mgQ-}Fha=9Og?N<<6 z{wXnYmtg-LgQfOQY#C&^NLAB8=AMfn2&{l57Q)~Et-jp8)fujP86y;<5@X#NLJg4& z19h}D5PVQWbza?AraKoK5@$cjf_8~DQasbQ;4RBmO;JV9#8@a?O8%kndmHtZj3a5^ zLnnbzBu-fGn5E?MoH{!OFs?c7t2@nBY?@578YsY!q9%?;fM-o{yizKRlt|I3U=`qR@v zMOHJcPDnDYf^M%EPhf%Ctl2-$1_t08Fpj!zPY_jYJ|c<+OU8GNEtl_~jlzC{ zG~ZEWEU4?Em}Ig%+BxG(J0C)fT;2IvhLq<)28Q|lz^&+R?lt|JEQ z4$P1Oror8krRS~v_Y~OE0F(DN`VP1OtG&L8 zygfSKZ1iJ79V+)vO1lqQ@jw4^Mb&|yvid)6Ie2|Qf5E5e>e*bS6!<<)o^E%6!s?a8 z2m%k%3kTXz=q9tj9lHk#8LSp8?G64^4x}0Z%XQApLc)YA*$SIGD(f%js!bKE{oMhr zDAj*1of#WHKgJ;MkGCSaMBAYr{9IMB1;Yz=awA-w_74Kd8_}BmJ*<0tnLrX({zg+( zRn$9d_9ohXdVBnLHfrT@H?x(pl-e&ORf8utT8dMGTT|^r}#hz%Sm(VMyl9}TA zbjz5{WpIM*!@y@3;zc1LU7DOJ-gonfaY3qv}u^qU0bROGN!C`-t zE&7!!^iJ8%NjP-C-$@|*s6_NSZ5H77uqeOynwPrU4urI#7^ zoQNGbwzG4w#bCZlXu^zh@Lmj05;hW+0xZ_dOVC924V;Cs-n`}^Ud~alacmQ5OCNbE z^A0bqFnI**vWJ$1M2ItEIZtap#qksBb!k zc@*7i3G+d)B-9LLvHO~T7v=pw?#-h4qW z8@>3n)9G4?n=##Qe9E=#{kzK9O6p?yZ_SBt`cUm{dNO_B+{s7l>wqx}iA#O0h+$_I z6*dpZIl}*U&#$o^B zHr-NRz%VnP*7YiLaldhxmlw1SO)|W(d@MAb&7#ih&YaU>Q`XqnSSAd(U)@!gd+Otn zb6g$02?oB&5xy2SzT^3*U5B@UQ|9;f4B|h3v(jJyax}(uvn52M;{jRcMIv(gzR}+- z0;Yp8GUP`=p}_noN0nbE)mM2ksBO|h4I$)vh*3)WnUNI!j*3PydFKEJmbTo5)pub8 z(t8Tc4`y{M81=_C%lusHidcB8(3Fa)zwW}yk?+Djx`oks^>>WSW;CK>@y7)8uG)`X zlG|ly+^`d^&q5|pu*RE7q_D+O8ESq3`KmQ1U$Hxz24_Nz+3H8AN?9ef<)-M@y zZQm#Augo_r#tpYaoQ=V@Sq@q03|R@yBY568O7=}Y-YC0+OlDdM_ML;(2A#A7U%UDa zrqZg8f_wVH~7uQB6BpUrr7mk_8r~Vo9oDcA&}B#(UI|* zF1pzl@)NyfDs*Ws=Y*WeRsH2}SgyJnb!c%g{Bb%hS_ZdrHJg$1fd&F^f|AHsyUyN@ zs~bs}8h3k=pTTcggPb;H+4OJZnF^a)qMI|jSdmRHR@DCkR0ihKmBO{zW%Zn34G8}< z3Y|pIE$44bh5BO_kWudu^5TQ$FeZlgzXMHZ`48T`rxct#FIqw~-6*zd-uI1jrrxa* zjnPH6r>&XG)uYSa*(@V(XRVRWd4sAT<-@T=e${`XkWs#BcZWS@ZHGc{ip{wK$!dVU z!H}MU?xY>E!6KRw7rp_5So&`fsm}vxIm!_3E6d)oM9TX2eK>YG(e1ZiY~|)%iT(uv zxi-pGgZbLeyZg!n8QGso;4KV$le|&~bLe-akE(e)bOHObdKkR&HC?70CVN!%Er$C4 z(T!K6;Sw5rLGK5Z5&C-iVySI9t0KsL@Az3t)0{_JC%S74qX$tzqMkX#UL9KutY$s5 z6HgQskK#I>`#AUxnk^xaQwVTE#Q%(>r@*uZ3<8_sk1v-4;Y*;11*+2_&gCU*uoEoV z={dGZ?BS7?keU6aFOoVj`AWigv^>`gUEQAmVsRzF$S712s_z~6PU!aohBpfa)W(0O zkwixjk8O@-f9|V|F|40gEKiOTDI{KT4>jG!;9!8;Z^V@0Xr+CD&du6WvayZ@$dy_1K~x-ue7kVnCUT^QxuKpD4n^#&a(zZIrj+McBqwrS?` zlH>iP&_sD-IyL+}x4m^|ymbVgpy7w4M!bKp!Bl%Yud%OcYchHB^zzZQg<@0I9$5nl zKC)K4I7wRvcS}fV}Tzq^N^)CM% zM9AxdF=5U`SZR_!aCVng-{(_Q)|^bjWFro@T5>Ow$-Rc^$g@P$p0lw41>fg;FBy88 zt5OO^MNa`VB}nt-;RP8n)WO4-$GO0I8$RL2*Q!_S-hB*FxE5l?FMCxv-4xH_gQjL{ zX#JfB4-GKSkWBFx3u6~+4mWM*t~>5C+eEz7B&>dctxmA01&kWK;~%0v@QyqJve_&h zlXn>!R6ZXh`o8-Ng4y+gNhDmEt4iVjOK4za+o;VhBLg9n&O+|U&t#hBePm;rq5imk zLhJw#N2A~G^j6z8b;7vb7B=k7FY~h!o>LUZkF?%X@Q!Lg2kreW+cl>Lo%vJ=gbeO5hTg;qQR^zjs4a9OK3u1&eG?GQz!vs$TbDb7}r>)bvgD3CkxNdh*C$ zpL^KcgqOU-&EmY$1;{j>`vS}-`O(q%eX)_9pIFKaL5BXDXcEK7;M;|F81=|sseWqE zC@>fpKZg)@Yl)E2%n>Tw^)DHZk~gXim(DFkj@F$>uogrjIYRxFz>k+4fEDtG@ZK-t%u6AxevyvMl$>(w(?>vo}cyI zD48CM5*Zi+r%PDu=>uf&3eCQ`2mgqxj;>B2j?Q|;}ek|XF_JAYU= zv3LEX)7|Zn(oShlQTsH>c4JIr{C5-beq;RZ6(MeO@{vVXgg=t#i<=2EGtX1;OEm7; zBHvmBKlJ^7z4*L}BSG#Ama5e@dBO&4eu1rxF6zE>l?Suw$i6=cA;&NB5Y-QckC+-B zFX!+-mE(fG;mSc}$vb542@u5$BpoY;u2s0^alZcgAqf=u-XCYz1nO9JJ#O-;y6!7T z+#AJcBEPr09pXe?5>&b}Sv_DGC)AEOAb${I@|E7K!gA%5sZrA@%03t#nw+sKAibKAJDe>1CjvCq2qkjapGf~N0-Hd&LGDf>)D8u^kl6C zPpwh*tgV^fR8(*$wTT8bXuiv%H+!NB2WP(_$88~4lP@=uLad-yG-Hq7pOp zZbc`=;H8Li1-3ez6gIDn|I&ExCt!AzimTRI6yK z=U?@nZpc>zUJ=M~oue95TPFUS#OZF=xLFw=KVluOQpVRpI#<;kJX{#6i`l+98}s1H zaAAAO%l{W_x8zD=U3H|h^KP;GN^o$n_yWiO>LbJvM&D$SqnX#-xK>M^5pa>a!yvo+ z{eo}-lNkIScTLo>d?dchU~%Y=$$jT^=GIOTrRPR9vYB!7E!$R)g)U{Tl4OhOIFz0R z%PQK)ZN?(0O@X8B>hU&tpYL&RG5grE#f_@yQbZkl!scDl z2(h@6b&0tu$J{|WEi8sTC3vkAdsR?zQnhZRD;e_fXAmo9HVRZM25q-IAD}*qa%`ZM zmX;!WiSJszLU&AvUH(ZdM39(HlSw~dOnl0&Je)?Q%Xk|8{NCIzDwFPUFBthx3@Fdm z`52Q(IO)8Q=^KFBvyvfHcChK-X)wArFI9n>A(LUnOp`mIFf9{LQ zB4)tYdjopAMo1Hn_e zp>sPD93^QJ5^xGhN-771HgV(#LrrfVrGx_{p|Li2Sa#!YrpMe3(3^w-mI0F9tpP(CeA43z%o*hU%yCEVSZ=f$wg zO7|NC2&$6$`2u4=U8biRmcqNCc4ihf zf|o0@!cmv~+%eu}lg%XL80H9AiAQoEetcKg$^0NeEwy~UW)Ime`gB$ax~QjM!HC)*{_S{4Z>JWn_o z;0!j9pKSrCxw*^XDo=jX6TB^H0?ETKQj3JC_iZn+q&X|ER9PALLEDA((dTu39W3Y2 zu5f%`+hMUiwl%k=QwGlKPQTDJNV5CAmA3iEg^)V~Rmw>=vwqJ0Rh23*CMBb1Gt89q zsB3ja^`To*JfJCKlSb{SQiFKtY=G=iOUM5TeDY?0ycl)(4E!PcSD1i=>WaImMmjEA zLBaN#iU}n3(&(V{BFi-;_vr7CpQ|k-;{>{*;!>s0%k^?9(8i01d}>#uv%z1>u;JV2q#n|JICKhvaYQLLg5HtmJrTfQhlCVeCW{+{N4DIN3w7o+}UVW}u< zD$&%rI9PeGSsx5Y83XF?2_E9J)Hbf#D*G@2h zPjTxe%9YYpZw^@Wga~t>nMoVV_Sy9YpjYauy5dZI?tANh4U(z`M}l!@Uj{0xlqpfr z@{1V$o?5F{XbJMueAAFYMRIG>Lk||C?%(a+;FrfW2hi}i zI16A4lr@M$1ZeExJb!fbn5o_fQ2=Ru8KwPX+JDhJy9xR}5`RW~y`0e(^r7uHg0(nM z?Q5J}h7NjRI`wKxIQwE|RJ~-to9H4(H}nEzD|m1VjICYMlgVYc5F%kevZ4|!Ragtq z?7@DIXHSK-G8sOlkWDKowo+a|-^b(-taB|$4-QE>E<9LhYno6!n4K4PG2kfuf|=B5 zdGI=;+o}+h{b`R#xl*}i!!o!iNTAUO~hMms5-8jew+4{rV#s;b-Mau8u;JQ z9eOpY#pJgYN}XX57^DlP0eg?RKL)(!GHWksZNHSlA1;ho(`(kIWNH46jrCjG`OLwH zR9?KBHyGJ(jBPzJ9n`aUb6|f{OkTAI9v7*k=1bGS7~E zyqbE03Hh}C&-d+FyjnqJWr5pN-EHYR1v&x7*t*O7HLs5?uczg};u(^enOVofqR#yM zyyIDAGnBy4qXcCQil^DIWCi1D%vlA6^!ZVRrmww2kjBz;8FLu4Ps3IuVx>}KB^_6x z(B`rK@I||(?ltxogqfUbeZC{-Ofh+zB!Y?OJ0e0{ciyJS8NNEQ;vw%)W|+Msx;_dR zVa!-!ZjpiP@C)JdgUsDuKK&n6*(XsxFN1OEcPme;Jp+gEc&rmEH^+A$U#;Rl*f z{*(ruZ1Y^V9XDUEdvC>9T7fN5JQFLtj}L?7yw9i|tKAwglLU^kg4v<}xULZBba+n~6CzVAVP} z-&x%GL)@q+tCw!jMdXAjA>Kn0V z0kw3n$1hdUGveuQ1B0mvtK9)#Ub(5T=kNczmu-8KrV1Vlb(<=DGZBUw85{Xy&`?Bt zC(O@*Qh=UaCiy!y6P-62fE(b4F}RrUANf>}=N={2gi&_^p_J?cCthYNWYeb^Gf~10T3?m0`ewx3f)C_GbPs>$8cP<+JxUPd6?Zh423--UIbXkm-{6=_Xw@?#QuW(0Gb`=J6Wf!F?g4Ja z?sBaOb)<-d1XQY?JFbzDT{Ue0bz`~02w=>tE{C!pKaq(yNm+m`!7@iG;=`)`BA>Jz z!RSm@iR+!`E5Jbci1Z2qWGyf-yv4}T?F88h1vb&7Iw@w3s+dd4=*uVk+PpS5F#Tsl@i|#*5+Z(y*VsA$TC<^t*mq1=s4u4ENmE)58R;; zFGOs0A(Uo}It1T9<*|}Xs-0$ve9+2PU)zywI2u*wJG}0W*IVlY_IF|l`O^427y-6} z19QKP$Eq5b4dN#6J%K_4~B)sC{>+m@7#La z{F%_^%_D>~sRmaI-`U_#yMFXbW6_y4&yZ@;@W{v&!vdfEkZtJAzQ`!rmraweqWnJ4 zz{7>KmwU{0W)ldIky1N{>CvJJ=tD>Dmh-x?cLRki?)XlhCn&lGcNxl>Z_d{CpDvb| zRrPRpyl%)_Ijdu}8OFR}R1Jo%$|ZwobKjdDi+gI33Ae67B0<%Zl$?|gH-}TH^!w?u z_7_Y|6vxT6*l1h``x&f{F*wu45^{SBn;v)eu&?5}KeJS*=)hCd(?6ClqX{+==kGar zpDJO4xvkwUR+9mmRzmUtzE!KwlfCyt*;n6pUQwVuyayFxm4Du&lsFs<+rCrQARYgV zHmJ$Jo+2pGMT9|!{DC4LLW&}CF2hyUFgD;uB74Ub^4^kcx+A?VmMaZ|4;!> zso8x9!nMH*%r;zPR0s4Uz&m~Y>a^eBJ)FwD^1&rx&YY0VS!WrI;z*V?6i%{@sq$!- zTsp?}vclvjY#K3!vCw|~BAJDdEMKax*w*lztp8m=se4|oI~1}{wPrR}o-$+Fa{+g* zucm;!YB|Q(1o>D%{85rldV;g>Z76KYlIEHJq^5~z@d;xGg}zjX2sm^VBw3<%Mn1J? z$j6VLrLa8(d>KL|SOBYTNtRgm&rn`It*qsqxL>H{`wU80zc4@|0yv?cVXpoRn_%T7 zC5A7z2LNMcrrttfD3-Zk^W!;kVf>4}#zHDDS00W{H-|4WT3EG+z$nkoq} zH(Rc{-hSYl^3CnS+5+rKfN`5DpUoSeojm~%5GM#d)`c}SaWFCMTvi^GUreR_4#7 zn+uS%*3{8`MjbaNV|u^$&iU+BC2;4eb=o=76BN5U?RXsvt-Uj(l68#= zJvZ(SEIKkbX zNOuDKL<(e*GRkKjh2C-k5fXpq{Q_yHl(tab<`jrawZ*lU4PV6+?yj^fw|++6xIXRS z%2yJEsf(o5e#F`9y?P;4xj^}GXA^a4)@7rT`7|i19w}$6hXRunI(Jg2kSq9)2fJ*` zNlIp>6g<@635L&V3ghMF<$AHY&|L{oOV^#p7<>VKBm;IDIb?)XV?HgEE2^h(@we-o zoCe)7x~y}WFZORiE73PyKc*hK+|SyO=XDW&wq=V)f(>~$HJ4CwhC8%haDo8jF)@G` z>eQ-xe@^2d%3eGe@Me5seM zMI>EM3-3!maPv*fsi$_jw7c5~$KHL#4>M|nLaN0EYceH1sGn-OJu_h3e>wUb{u5Pq zHlY586?UnZ#KsNM6May##1FV`PI@HG)zZ2z9jL%t`)@AugBq7s4mm!ahs zoH2!bPYSA&<2x3N^tr!=iJ4Vt~GAXZ>(v-wRYV#dUKk?;4Otwcf4 zq@K2+X>rd|=<;#_(aFgPKpPL^+;soF;7Y;>u+RZ6@ZCjo*KYC6&CPf=Un)@VH949l z%=7LqRUBwOuqFkLc?SJR_OG=oHGTiJv z9Nq?-sDY*V8+OS!A~S$u3eeyUS+j8~ZlCwuG)__`EjeJv?VA&mlLt>1%0Uf`rm$LJ z0S4`SalQ~##iZ`r(hQF=zhAyZgRCM67C!#u+7Q&z@o>&f-CR9eb{K)86pFBuX$ zJD{x0!qT;x%E7_m+4;cqgLYxT8f_V1w@+m8xKPv4?Nv5!<`)+ab$7Vi~5`pNHlQ>{ZZ9tYl*ofUz&}V^Gv^m^@(wD-@y`WOfs4!ti61U6)Ssd<@rm(r0et5 z<{!y@)9*=-$nRb$mVl=ZpveXk7`)BVN|4Y-_SKnJLS94@U$MxlK>JjU(%bDE`(^G@N(V> z5jE|lQ2nsQ0pqT+GBhl#pD17?5CFrwpr(eIou%2RvUp^=)5pX8YEy2j%TIJQmnmdB zkK?MQdY7DNhfbKyW{WG!RrPjGcnRv9kH1T%6PBKX{->qNFwPKtV+Hxze+jnTkpInP zw>;2BM?#8QVJ_t>qqn0}s?*swX9B%q1H>JDeSL~*FKl+Q_&S9`$0613s}c7YQkQ7oT53P>6N$kuh&+Q7?D z{;i(alfkFNQP`vJv`89kQ4%TAx`z6z2ZU%M>+k-&tUBf;)w-pTwKtYiN~{v9t~KFf zN_YQGnZmp1X|^`14P5us02zHj{ZzAgHOS>2ot85kL2Ge4|b! zWzfOl;bMCyz)+v?-t2YCc06+{*9gOvEnGgWj-KYDP2W@+nZQdW=h!zKB>4I-R$Ii9 zpj=yat0hdEnijU@7)w)EH!I-Y2w)w9Lm_;lpeXV(wh7ag1Jh}Dul(8qf-azL_!o76 zd?w?eL#m0I=tLlg3%R1V$cvep7ATLH!ZsEEm>n*-nO}UQ@JKdo&vfd}(L@p7cmIG% zEDF*{Ei9gKrD~TpIPzSufN`DeuPzMeyGxr74;&d61PjWG7$5 z(5PLK$)4XMNiFW|uXRK91RfGg>ne7pEo|}+6}}?|uf9ftxI##yUj+>g3^4n@dk)1B zD+mjNMqx1+FO;cu+|SDNBGzPEaloGI0<@hhfZA<(gpacp5mcLv=i4>9XF79p0lE=G zq-PQ^NaLQ0JGLaN@A7Xf(a= zoY#IdYi&j2k?D0%i17AldY03I_+ZN+KvdX>=i{~TW|=JUBms37OBVeo$SPw9fb*3` z8|*M-;$ncR?Tj)E381d+&F0&jQ#0H~dGfmeHvfg~$y&a^pGD{q<2E{hKBDZCXy*Q%ybivj#635~Ua>B+A z==vM{=SZ5a_$T?kyhEO!!>1ugeg_fD1S1jh4gg;GkJ%5z98)th7Qa{5adVgYkmb#W z42YDJl*6y)vaB*2faR2A@s3P7b3cy z-W-53=cuf_s?R*pMT$usfC2eGi8BS@N3|6O-CdJSDaNX5`h@NRQ+63)8cQ>wu`7nV zBZBA=&7(&5%5wzeSz(j}plj^9)HtX|x|8K;;f?oH>+|U`p;L=qUFy=yE#^_pjkNq) zN*0;J1y20k>z!Ju#u=RyrdHQK~Vxo)in)d90RXTmfEl%81dXH%5@XhDIn-_Wg zo}cFT-hz1*C}~hqxedi+wgMfsL6Iys=GqkD!VtNEz=+pV44UJ8HNU^{kshLVP}&i_ z;B2S#dB%+yI4tY~YNwf+($dx$SPnrK%eBEk<){n@5dkIH_SU6)yN+6-Haf44%J2*JtaRwKjj(&!>+ocV>08mUA-JzJ2WdPc|9UcM)&ZrT?IIyD0M@CgkEY8OFo)q3=#&Sc_9~tOL_&NssSuM@1)G z#VT=*FF>&&6!dMGYzl@(9)(y8$5JqCyuH2EtTTlLR@E&tfLNF~GEd5Zw$V0(%*AN> z648l+(Kz{6^qL{BuIL%ZBtd&vx<+};oK+0f#ImEEuG<>4T}EF5h7c06+vp&-ZcW*LQR?-+FJMt8ssrOpcHOR;D_5CqQWl$TrgJ z>R3N-;sTzV+cz!)U&EC@{sDZ4Ckxk>FB@^dJ4+n@Ees&cN=o_Z2{B{kaQ^x8fa(#b zTFx`$RN5n@?KEOQWa}O%LVsyg8+nY-9siM$ikSOyYKxntdvv-j$IdhS?J{rY8rxAM zZi3jTme5&xyQLfv>XTue!NhQO{ZRAIGRNBd4UyGq!t5e zSqU@;+`vdiZwZjGk%<1hKFoB`pTDWMm@z}ymP0GD3M^N^loxq`M}suD%E?qP|lGA>>oJ1Cq4&(6&0VfZ^?+Ci#yAm!5i)W z@%q63Fs~94>K1K<-21QA0F;G9abaa;v_R>JG3x?P^4vQVNSU|Z2-(500pdI3X?%>u@(Q_I2#5Q*6qWR!IGAF z5l;mz|G;gBA7}w$XbA)T`5W)JuvjlR?X*(2P+ft$lPXV`(4Pi-!n>ZdGn z9vC%uhrax3xd>X^yc0}b{o8!OIqw5?>p`_k&Ax^0WH&+T6FG>vsK`amr+exZ2?#Pp ztQrG`*V*;cS4CmlQ0UkNe$cU__p(RLuZ1&wM)&oK3{7cTUfv8q(N$oD$Cx_y^=qrAqCI_&9{zt^06P;=bW6Hq9D`=-h!tCM0gC&?7Rz&~#y0v`oAjSK&4*zKSCA!d-Or7>X;Pm&EY10NA_dx(~vH!mGtX+-i5#Hdb9tc9!N^UaCUJK#qnL6-_;Ax z^}U7V+HghxCus!`3bcMk)XLNtJ4L|`QUKWGK(823J-ry>k2<-BWa- z(kiL-oLsY?C5!J+KY{T-=>Y};rhvVyN(|JW;q14l1h0cDNL_W zvuON{L_cV_(h^tZ8UtPhLGJXl5-hw}f7pfNsqBV|(WxW}Ab#;V?Lq*0UfZ>%7~x>3 z1uwz*1J!XTaP#1pscQc;NJ)>HM)KT>Wejsye6hll@mJZe_0HJtOYIm+2+rX6)Svo; zF&o<3WeV1F^g|fNl_u0~{(D=+z*b$4y)8JUD#xh7mEv}h$9s7iLTw&WtN6mQ9{r~^ zl?^8$sl}2L1_ry{uqpd>&xHx#fHwpB*WtJ~N@JUhAwan*kAQ`XKNS_@22iKAQ~Y1eNrABNa~M ztEA8G%l4mjE{y@poicZ~dvY?zc(`NRA@^7j8rJQ~`St~)oiy9}%PZiEs)G{R`<<>4 zeksnwydC)&nrE7_ge96x|9KT9Wx;A$H<#08*S5S626c;er>5(Gq zo&o_Q17fxXVX7jm>P`zMjVVt2e@gqRfVP^b+hB#ZxVyW%dy54EAKv2b?iMIsiWZ0B z5Tv-f6?ZSi-3k~%iGaIjFz0Ic$*YyI_- z(d1pSF{DF--)TMraTs7~a6H-tIhEDLiDVMN4Q`=)#Y}I*w?qefPmzM++wCv`p4+l(f-D!nj)}7U@QuW9<+80y} zDsmF~Do-}hHL$%+hXXYn2@dCZid+6GQ$4daBSZKEq}6#W$D^8#0ZZJDe_oS{X3Jt2 zC8dK;40@ zNxgb&RN)+IzSp)UYoe{Jtnt=_yr(mNnKpB9Y$AM6F{M13w9f!q_Utt~@E;)&OMBdp;=1w!0#%DI<|2?=HC7WZRAXeFnV^s|zYPG6x)L!(ur(Pd0r$Bc8 zs5w=whoc@{s?s!6SRbs`lc~Ji<7eqtg$0LSG}E?<-7Iq@E4GF+pK&}piKui|!7G9b z*qZNb0nQBZ@qFs~BVHgi2(T-R#Zi5bSG3hv5W33MMCKf6xVzfjX=@8$ky@f3+AyofGM=t+*xu{U1iho|Ppz9dB7)#FaItzow=+hrL`H79Uwxzs#YH0-Z=-_u>{ z0!xwH?70x(=^msAFR|OsECoaT5>~wQPS(LWG_FOEEX`tugAD56h@{ZxC)X2 zNa(1xHc_PuyZB)sW&2se-Zodq9rVycVEd^qfJL0;GK}fn?I-6)P6UtVep+aBq?A7?bC>VI{;27w)Ma+cmDYtzq71qkX@o7gT6UK$i433Xm08A*`+uOZG zV`HC6{{?!FtqYytbR`FET`FKiSH3tL+K3C*5Y$rh>`OYsH9{}BZ5`TD+_Vo@Viii- z)m|7R_uGq9g?ROaoCvAExU4b5@2Y0V`hC+8a4)p3KKYM)NWlR=pf2;Jtuak&E>z@V*4_Cd=uDkjVgdcKU!%`+1@q-K;4Jc=4|Sv=tkP^N8`g=$Wl)jK2YeZM14=^ps~39}FP+8^?)wu`XVNtI&B;HN;*!L0Mzo>26x~(0_ql=x2ob_@1jHYXYVU16N6!63_=K#&%~IK!!pDGq-aXZBHz*b~ z!JRe@!&oEpLRxyS9H*``I-G&PmCb<}HK7(k3YJ&61FB9gXzW^1i z#$MS1oeCmP@&I>VxZ+_PO(Y}i)Z7DnA5jQ8)(wWA4&y?GY3_myT{u1Qp~BGB&AkDo z8EPY)vK2SVpW2$`nCPIeiazLuOQMgS@8dyHHn)ui>4*{EhjQUBaD?gow`GcihIC{d zy!(6C7zEXgoD>k0VHTTGO@S(VdML~8VB+ucs!N&k_Y|_&DB7XLN)ahFi5ZXHmq$%l z?Rh?ad57HWLwd-s0oY`k~zPdoNU@W1S%9_f|SNvbrA!GP%$EMfk+pxmJ^&S>#F+ zhF5C%k8b}>K#Ps6A4%b?$dY()UF6gyyL$yt-3pPKa{Sd!`&DyMK7aOxswAQ|KP&sF zBfjHvX`Gtc?wXSSS%TNoA>$47Yq9*bU@OI^eTET-W}L@>`#tcgVLcCTBT@!4V+1NH zyc;Agc{8_7R5EC(du%4mcsI?O=>6lr|6vGTq9y`*$2B1WP846x*Q zUXu5B{DMc#O-Py*X864&1CBU03_O0q$jSG0kaE@c{yuQ2>bHxG=%*;PkMdo~Wifl| z(k+fY%oHR&dt_q(rf6VoFTMt$P*oj~wgsZe!^;zWZF2beh?+7@+iW6O1FN+c<@!pY?}4}W`Hp{0_lX@H!eI2n?b3D1-%e%VX zhbggnnvdMliWOH}ijn>bT{m!;ptov1Oybb@{Opn+P%sYc3D%v^g#(sG^~Mt)u>u3P z{gS5bZ_}%H5s+?{{qdfB+$e>HWE#sFq9-?ri_Jm4r`^aTg=FO+KzEksECp5U zK9g1NrQ}*K`wdAxH{0Tr#s-8=aQEPe8i<@CnF@QDx-=R@&u!x?>LC3w=KyKeh`|U- zFB?-~0U+8IU*?#)0j#{;1xxXh0P5JccypcYco$mc8SJSaWW&o*upTA~Mq3lrk=8&* zr+(VzO(mq_xJ_8Uq>36Q!uC4HI}E-g6j9_9JlbOd`z0v>larTiZuVUJVNZFN*q+?R z$}?|%P46PbyYWf`s?I7@2#V6o?y7EuS-*QQ;bbX|$aU7&;(m76_OP+oLE@Af%jNr7 z(obzAApD+yE3)y3b8P&h1=NtgK$a}u(QL>nS zSq}0o86_8O%~GUx%C~)k-p)}nVd|+OaMsyykEwxZcoRHd1|z@!%$8_ig%$6^F}_3ke#sv&pwD%) zjq&dzwve2&hgb>*E#lY&6XUW%kS$^ip;&2NO-kG?wZjZ1ZBs?TY$rc2D-&dq9vYb# za>#KiVkNFLV=|K>XKI1}CJ0|~{%E^nseejbEMgOzBL(BHtVQcC*97Ykc>x*Aym+~#+rFJW((^(GDc4ilRi*Em4N2P7h2sz;jcO9gdb*WcAeq80)iusV zkEa9hwmS9|d?G>z_%g~G0_cp$yN%ss=i_ZIb;d#`5z{gM?A=B`z|&Wc{V^0l$$;|$!&c^aIIv_&kA<~f;I^g&;G_QPhT zD&Ld~04_@Ki-ArFo|+>rgi{`z8dd1+B=S(#w2qWxOFSQafaB^q41Sh$`+jVZ8`I~P z)S@a@rGqVf+BI42=ey3RoRl)n#6)NDJ5MbjWReSePkK|2^#mI}bPeI>je#`Je}w^f zAI%YlnHBIgV%%1gc5t4Mfwf!lxq0qn|h&OXwu}R;b zQT$yoq%IiY0~4hdi=IhSwx(U%d@f9N_*wXm%*S>S>Qq!V`)!eDgm|K}M_XfDDzn{n zJATzsx3VdRkB4wUiA(wjis%(cnZxENu7-5wBG4Jc)RuTXcyux+?<+qY{KXC-p~CLr zdqeY21eppkJrT=0WIfErRh{b1zmQraEqAu0vM7N#?n^kkg}d#H^e=3Ranq5QlE9SymSbRw=o9bFbmEGdZdJ8aZq9r20r$XR}oY^|=Rcfo`${f8rsX9L;eCQg;C z{ulWqjI8W?2ce~(uZP%4!(!NSJ#SF|wN$4i|ED&^Q~|`FgdBS+Ou}^H`gXzUpX+c< z)la2d%kwy_0lACNsi(@HjR0aoo~%aEa9%dZ0bnVDSkZ7`to1aLTZt!CxPmyb_oey z7xAa8#wdzP|7<>?@W~J(7Y`2dRuk-@aoL}#D@O|QoYzrCOCRi1`w_tA$SSYFc0f-36IQYZ==+6LhlR0js`uM0+((mDes zqC=q~2mWR2T6QcLBf^2^dsxKuvr>WzO3~xkvsZ2apii5kXnwQ(yxZatjwkOq-+Ey` z9mGK)~}nPQS~jfZPf0DiE|+5|Zv zO#^UY(T;iQT&VuJ9Af}n0mfw94hNNbKyWgqm>%-FQb4+7w_X7>e)yOo^I(Gd(rujY zt+62Tx^f2r3asH_*nn>T1ru@-B63DT$j0cL$K~hVM#)S>^U-LZ+An*_+UewoWpk-X zQ0>Flv$;I@KaY18uh}vXkacm~{w?`^Eu7qRP=SEB53ci_(U&@9sf7#7ifxC`j&Bsw zEeyS^TLlN1PW3M+*8UN7Ba;~^p)C6Q6;q#{-8072a8bU0`A16T-+{@F9lskN$Jru*5hB%U`lFgC ztbpvpAE((?$f+kCez;_ftDfGppR}Ra4owD|ECo;?f0oV*j({d1KH>MdxqS;!G;1w3*vyggRuhIh6cKH5FPqKHu9AwHpcfMXJue3Jj%D0=ZNI}ewf6%q@9&&?$j_Bi&d1Zq z5QDV57+N=0Q$yuc30c|}7>QFx)uv3PQHeZV;QK7C0DE{K z;IkL?A54BfqNd}29`lP#T*N;AWe9#!bv1&>dvkVCNW3I^-ki{PJ8?Rma_(M|%-%B- zGeQ=7v7q~F?FbTgBdw&POzUHsO9~K$oVwZYP7|`!C2LO8Bha*tJ`)pO?xq4#6}>cg zXxYod|Gcq|cKo;w(tERQOR; z7CZ!1X_rzq!1CzJP&O_}iMphn7JX|a&3TyKt<;%kXqq9t^_@9_W>o`ZOWm-OWu`4< zAm|0>1xe_1T`F%WVh$mafe-ojM^Yws>RtKV5FT;I<)!>O zaSo0(=@J3lHcH&Ywr9!!Uq@)~R@<}D=n5_`Wc>;`-@#Gyh}e(mN>=~309J~*M^}_8 z;h!z1xDD%W-71#o!m8Pk2803YgiT{f59AI(r=T37JMucap_FiC*=7D5x$sm1U4^&G zEuMBuaS(@d4Gh+f*Iu?16mS)-85t~GA?;Y~znh00iV8cxw-gEwgP(ld=lHXH?D4`X zOcfQhmT<%L7t`#KW5RunKR7%z_=O$_uQuYXX0iyX@}(*2f8 zK)*vo-FCeCJrBD#pIQ~%gq!QvD1GWxNw}G>4o^#XM6VWY9)Xk!pV$5@k#N0Y-6t4uzgQUWX?rSd^>QBC zvy<=&TGd~4olnGa8Py(HX=E~s@9jzMfBR~m`rpMhSjK! zN$W_t5tn|BLN{#s%U1U4Ix&Y~*WYwVPh9r(Bnks)>Wh&|meqFr48iR{PEbD9`g7R*HOz0XKrxn*0DP2eN z1fhEzc1+%W$2R`nSM|%w5pUPEHapOE@mAT>QqnRWO z^6ZJTAZj&H2Q}=K=#>I|DcICN%HKdfs&q_0$6hP!adr26Uc#JZ-m`Ri|B+vgpGE6j zgk;1GXH6;YZ%yAp#fO8XSebyvlcR+m9uoel%A6c36&dR{ypYLeX!<*YD+M&FejwsN zM%$=*ydKjdE|nB3&s<4c#{0K~R2wTLJaAjjF$zs?e*p%zKl50y`bFHGv_U3o^0JB; z!N+fzuzrVjCf?`6f5LHtR(7;`9+E{3|5bx#cct1fStnrXUy00-Jq!yQeFh?UeK^L& z^tC;~f)1=BEqN>qD)+hdf~74`%OJg^88{#`sR2vZB=960pj(=cg+yFvyR&YXx%Kpc z-@G|Lpa|2`@f3U*DBfE3y+iSD^*}S2iE6>nDvELzG4TtaTe>V5ctHtD> zaA;uLODCN@MA<1W7e{lAAO{k`)L6&P$TaA~)~vf56=BLsaA>W?fYNZ2=_#ha=q`A% zX=QKp3z(C14l+lZqQ5hd`7_A8 z1GMu@DdD%VLVVK;tUz+-@7|`{SPA~4{h8{RQ3BYJpsOXTtl(zjmp3z1TsCe7D>&b; z$GN-W!vT%|fG~!vSLA*;Sg9ae^SglfaqYG`P>3=EZ+R6wh(QxKWaf4+S+bDC;HF4<}>^3D&ybA5}MRwx-c8 zZKPBQg8Yey7||;2Yr>^ggiZD>Us#cH*ZImU_b$XeH-^h^;lI0PK7SdqwQUsmsGjtR z76>!rz#0>jl`a@vtzYYGMT`!~cYHv_AG^O_FwkIg2Pk{~dnongCO={dM5k$XjJlGc=xlQr_O->D6C*T}@uZGEq| z^Pe6RT$*onPFBrm>8N1a&z|_|_)$vOm|ckm?YGZKru$h27kt*keF`ez^^==5B`F0W zxS6~UI^5DIk5UPS?e|!UjYl$I1&;?e@=jOg6c1GUMjoh{#Pi9M%9*CZ>Zu@^63J9! zwK7Z-Fy{;g_-gXDo58JA{iFm<@besy9l*m=C(QpQ2h6r8f2ii^w}eU;m0FVlIK8m$ z0;+ba6zt~rHzq>R-9|QvYB#*E**$ z{4AX|{E>#K(Dm4p${m#p3(lX~+MuB1z6X+=E}iDf5X629%i8L6jQp`7XKB!w81e&x2g6X`Ui0(-Q$nomLkf zF$8#9mA5(9Zy-ThLKFTqfyfL|G?fKWvxox!WLJ~@XL3oO+a2Eb8A!~8UvAuw+~>`6 zc^3*Z(E;y7urq{JI2X>2ytF;S!Ogs@eELZW$9jb%sQO7s>xV`RKCa2Wa57n1obggT z%e@&wZ=2yf;#*~8Flh-@Z|@n6S{|;y@prL(oV5I|d3h{Yq99sCQ8A?S82!polvj4DwmV#%T-NH7LBM-KfpD7kE|4V#xNUtJ_VZ7+ zUqKG}ohatNr=d2d#pFy&)&F1Rw37x%-9!g^`d_q<6ubW3w}1K^w@t0G=v(E-t&ElN z6_vKc(+xB}l&d*I5(0J=&Y*{zdp5h>)TV)48jMw)cklaeA zLX2)AmW7e3R)m^K2gSzzW+L~v>LmpwL&sOVEn|s#Z;C=a?{t2keyhWe zPUAMT;X?R$AH($McU_-&4{ugL{}ZA}5=<-|1$b;CV@J-=roJy@rzG6x#)^dRiG$0z zAK1M{9qgw+dF|QxxB8)psO(O++Y29yk|&=CVP0I>=JoFFjg^bg1QCP;tuN_%&M|+X zYt>yaPnCT`3w)pQ;H>YC&)z*7rhYD`PQ9Ek_4%~v%6aeD1Z}ncSc8CUHn|v6 zov9D}@bXb-8~);96=zQo+NTe6w!e;@MNr>(9uIyg8`U8@+;P`kaN}g)#?+3~LjRDj zuSOkeF5VVM8CJN#$@^@nwXJ9JFiY#t?)qR^XSdGEy6u#p04FCD#foLG+n2C zVm0Yl5BuBaTb6O(j8;RRg!bmU)V-!fcOlf>C_=r%>oFp}kg_^l1HINXY(vKP&f~@1 z_2l1tJ!dLX+vTY!yEi033q%K^H|3wp7M}1}JV;B&gL zN<-VKAN6mBEyF6Gm+t3p=SU(w1Nki zqUG~^jGPPMQ?ZRD!=sA5DM9*HZVHO!Gh8F^aOC<8%qA7Xmg%C`8_X3Hf5L&`sF_x? zaVtBQALzNC0UE6_s6#b&vA_M5A zmg7uqn(q!;NZ)uG3dHBG)c*C;gAx7rx)Yw;PeM7y#%cDvM8QU-X7J5nTMt|bcIvjIyCcV}3zSc?4?cr1I|5T5pp#PO#AL*hE{<3SLsc*;B(j$4$KU z?hm-!UU7ztb}E%D~eFStkq!!z^^A-D7+ek3;R4x;eWdkPST168LBewA#Qzp1yU^+Bb z{QfHdPs)N`e}02Ot|ToD50sW#0*#wK(3=IGhZhZYHP-^>H0}gzrY@4#aYNF16a7xza=%j*O00YOb4<3cq zY8o0JU0k>olUX+a@f8#*Mn=ZstLji7#k5551^7*%Z1r=M5gbSj450S@o_qwxQX3e{ zv0ng%MgFy_PO}RgAg!?MIw2;{}cyln(5fKsjZIP^5 zec|~J7uHe2>jN7)1gaEC`0Y@TbAjOktzX;$Wzf z_`E!77Z(?k4rM^g<`otR3^V9cvW$a+!-p&Y*-s#K1qd(QJGA)+bP<$pjYisM# zG@fukIx0ik5c)s72Y@nA&jyH+hX)5T^Gks=UpAUrOf0kW`Kl7Yx=mJ_4y0D*9}2&M z0f6ek+b4g!B?~~L18Dmw$_{8(X&ZPWWlszMsv)0&9G1HKPqwab>KN pXEF2sZ!`Y?;Sm3S&6h85Lw#cquVPmpKz0qJAfx=TLfR)ZW9Te|mP3oU-gm z=^v;=+A98YSwQ3v!`b<2Nyis#LuX^}j9~@KD!fPV%}I&hLyDLLjw)t(u=e8l2aCOQ zQNK}a+JmFEqxMjo;;||D(4spi2LuX35ricP{Jy(L;P-k<*fH*{IPd^U3MpL7>jTVU zsKmfsL9?h&{I9PZ!NY67}_oZE>hiuTKpB`2W)Z%oM}I!fr1z zUk;DyZFWa}pP9P5yRQa*e$nh{a@?`m(@6hY+&s73{_fnk zv$GTTF*%2l`|-5P&BFugtG4!VESVH6GIF8RPuj?4TSZA(Sr=DW;O)Yw#MwA5;Pk-2 zw-XZ+UzHO=LSPG|lfU&FeWaoaeR{YtY*?V8qbt;H_lY3jO8oOjsorKOtly~9qK;9& z^X>KFoRFR#F$V|7?2$`>Y`Ubh^pJB!W@2K`beX0+dQe}VxRP>f{;aaH@j|_|k%@_d zwl?Cg2pp!QNWJCjOD0&v8SA3rAX`SNdI z`i%J=ja+*5aIR)^b943JV9@(!DR|uM6CGVNa99O(_0X<0y}lTd%afH%=YwfTmM>=S zv1o010U zGl`0eivcq-TF*0gc6HsYhttj0m?ASUFd*vik&yUH#F3xPnPxKBE^`|g7_fWaGxtUj zfb(aWn3$+&Xg1Dzi7Ltl{olZ-Rq8<+_C%~LHaQNZu!Mj62F3gG=t$_k`GK2*ZkuhM0#ZT_hY+pD|gj%HW+?6u$mY62m8Qa#T!A6}mffaUC5(VA~-O@um$8 zNe>JT;zhjwWl?uN#54*~Y1oT&e{&+2$?I*$j^A>(o%)H4Y&=&C*@_jft*wpwVu%T! z-OdjYkM(rXadhqIXjs#>^>rKYcwQTA4I~VubNvK%BdDareJ9-&77@{Sx>OyX&!?q6 z-vT(j*A*+*1{>7O-R|Z_!@|RVq^1swjYZua&6ERH-gb`%MX>e@01v~Bc56_|%F20p zc@QjL1Xmuf+Vwi1Vq;_3o%hk*-Q6M7K4U^WK0cmaT$HrR^7BKit*t=_i;6m|{|-IS z;iI5{Y1NUFmPUYR^}K1@V&FQOuQNQHt-|MU2n6f~cny8(@KuzQtZYGPX~fpx&zZzM zCr)^Hc!=HEDpK+|IKPmPkW@mZ8ml=*bde5Ve={a0vD<%?mzRf_i7XKcMyh+spx1|@ zqM~{=$K#`yq?DAUuAv_xj|T(_HnzB%o7<5m8gRqdnC$NE4%o}n_16%yR;<-EHK9>a zdfX&$t*uyX7=6oQ5Mp#57d*;A=rhG|eN)vY6MFQ#*GvHhF?&n79>+60g zbdssV-={2$`(w#2cgF*e2slxQh(_-&b}UC9$n|f(cdS0HY^T!ZSZcQy6&2~Q#mc%` zULXTTo2|FT>-vtE>v?k=7#L``|EJiaw-_Y3Gm@UnW~*bZ4mbg@xM^IjNV(%~Qa4XM z4ZRRcl3FW1M=E6+K_JlO;anVWnhFXE>rQ31?d6EAydco}+FD1BNVvryu!GJ{PwhBI z*6bioZ#SZ6bZT;PpmN8>-Q77nS_wtuZSwC0Ls-R4{NaW}A|tm>*SY}UQBpR3y1)AL z=~GN*W^}iK{$iuO)6ska09J=Co<~^bh7~U|mg4}JLW)aE=Yc@`DKq9~US9zS(FVI1 zum17}to0))NzF4&wy-3!PO(t-69vUgy@7V4oj>p{!?9sI*=p=IezI=1j zNHh{xq(Y|^qOY&7F@J`gogF)%<5zzi1tcXc?e^7-E(HzE`yzLOLl-WSnq-%wdHd5< z0SFKXmfLPEl~@7{gD#g!Bgfb?j6E;#WlJ2-ISJZ`5(vO%HbW^%H@ zKYkb%LCwPZiXODM*kjE+mlF8>-lCvQ14Lt1^6%g5>^9n_@&HZEn*(qjSN_#M{9t=- zs)vmK+<5+8e1iHP-jJvKN+UR8Sp4fm|B{ZBnOO$@od0=)u`1=i|E@jny|m|F`jzdD1biI6gnQ6mYBurD*&31k@3mtS|If8E|Bo5wjOply z|1;FP5%GnimSW@b0N=I)n&Fz7@{f_S=l4qd*`joBt82<$bkdWBGcTf|9a`xn6{@fM~YVansF3>*wb)g?M~qh->eAGP=hD z^$Ep^zW$-D5ee6c5;?k`i<)L}wGe;TJmetkm{4G%c#z$WJ)s07>1I^~9OAkRao2(8 zj(kUfiTn0yqrJPG88yJbUB#A3c)3JRAnU9#Zp+{8*hnHGA423NHXN5--o9eU=abZK@*FV1 zq@pC!jj0@_YeEn4?wUpzmve?(S2Uc$llLw*NRIaR!otE;M<}a=hW%eR6Aquu*ThP+ zdZYuRx#%}R4b|v z`A*_8<;Bf<^$0!JK79KYVBuRnbAZEVE_ig&-gjCJDH|X|Ob0R)xzbh&ij%IjlPb)hfk0RSA zokibbMmv;Ruryy!ExvSljvZVLqqm~ud;tOqa0tzpIgbHZE_zB9iSQgsbi$fS?+cfL zp(KYT$14w>cF!v^T5@e-7P816hN3{&9mm%XXO*t+9Q(WHhs$d#(Vtv-eJ(-%oh|q8 zX+R)J5s`Np85z4y&bkWr+F)Q0hYuQJ%oC?(TfBlvhzXnXvr;|XQaJBuNxd|d^6;hm zWLgy0dAI(u=bey)0{q$g3zPFV8%Zy#kK~bLdtRtgFL#itv|DH>$Af8Ng^U)DMdYo) zW_JK$d2SM52{MBL0zmk5vC5j zZ%Urq5)>(9S=8|X=H33XsmyqzYA|~F@ueu8&G+fU&q+GAIUeByVow12UIA^!XMAo}ES#mj%Ly}{QC8KnmIDplEw;o5kvlZCpOWa(+x=&5U7~122amdKizJo@{P!KI`|fYA2OP;d|&*?!EHH|kK0q37uW5H_GDzyes;RY zK92%|LfSQht!7R56NFiRGh>anvBfK~^_kZ_xjRt!;iB(`&|%)Iu4-a(Lj8KaS4)QO6Z=4Pklb*tX0(lr zi#LhzWGs+xk8jUevHILyO2ucEBs=)3e<3~Fw7okC^EIGnel{F4sX2SVdJ%92A!ikS zDo*3e^h}uHePH6{ZHuh%v*Q3;1!Z$gY*Pf9UDTH@2%f3uyR-t1P03SeIQYFx#^I?9 zuR%W1z=^s>`%M36;7Z29d(Gn&^>)7~vObol|3P4Ms~iMGV`mY=&sk*u2sV1LFi@XwQ;G@|4T zr*fLYM`fWFGO`p!m^&6~Zy*3U%;VvlZq2?N49C4WCeib?qt8PZA3MRtxF^l*^R|6U z7*~v@bN`;H`_x|2`&{>pd}K-*n!m@j%VORq(I9#aE7m$@W|Yy7k2Wn}wc=~qPH;(r zm=AB}>guXxMqDL}|B%oWwiC-2G12aTyw*E>4yU~9Bty?pgReYeG|*m%BzcJ$s}{!a zs?>Dr**6_|H@|=E4Bji_Y3qoMv%CBoF8~@b76>ko)$5EuQ&Lh|-P)R3eKuT4O!UGb zC6qN5O~u-g%`{zI^}mX`VTD%Erz07|j}%a4BkaqbKRr9MNs)vlNr`y%7iJ(zwY0X{ zCOtwR5b$7^j5i$&Y-@Kmh8kLABIC|rr7EaDEUsXS7K=4cax7P277V3LH2w-2qS@!L;hK=H;LCv|5y<| zoIStG#FCWRb{VkHoH4zusoMBbLV@S}94xeKks~hb`1cYTqX0}Imrb6{o8fj@)v`W+ zlck7|_Q3hXX$q?vhxsq5NlBKic!Lk@z;rK2a9qU3_+OmJNk+t5AxbUJxo#TP&mKKx zXA}JtcrE@)5t(Z^ZiYH-8ZNq{HfBp*Jdh%`LU#zAUDZ;^|089MNg$BbN_9ZqB$ZQy zb#LvQVv_HQ*7ge9%u;sf%a5tFy1&fGu4?7!kS=XSIZ*y={k<6OgR4)s?#lx>RU=xQ z85tmDgg9>i>PYMKxNARhG~89>2B|mZZg&?FM4*Ybh@X7RI`^+5k!bB+hSp#owRwSq zyNld@c$`%~d_%nwN6iIj=F(f$FD+9F=EeV#>M!}_jwi{T+c!x1MewCxYWAg)=$(b* zdS(^&X@o6F0CqMu0AG^TieX%*pgN}Ft*M~h+VZB!at*?zl>M8+c6e7!g#ILWoTFYd zu6s6i|G)wuWv_wYFP+5lbQ%wkPGw4_L-vw*{PkRGyRy7Q5_%G&{x4%?4ydgBYBG|% zc1-`91+eIUg!B_|y@0Qo<<}D|4t3P>sG+|nmEpIwM# zvmBkUpnH)ml?Vb+a`NMXP=d?^!ouL)w|?>U;iUx|R|XCFCqJ4`Nfm+iofff*AI|o7 z!ssNdAWo8Zn^(1*cbQq;5AC#WdU?Mw_*_g&X869Ff(53P=>b{uuA&B|S5eA39ko zz&oe1)A>FTO_@<3{P&hCh&x!wkA!jk!VR;8YOavk&b^v6)`3Z+DUB{UR9bCG!Ls(x zyRuRPmZ!61FWLjkk%h(7tgBeZs~No%jK=rc!yimaNSD<9W5Q)d=Z!biyb(5s|BRyS2*$pS-b}A8P$fI1X+9H#W{m33#8@ngl@F5h|N^E7% z)o#t;;}ZBvxMF4o3|!5Q9MKDQ1zf^zB&Q^Z?tBMX?jlv}#XqMHE0ktfhd$Id?HMAU zJEU_!8e}Dc4HCL_yDR+cX6JKs@G|wBn{?{RIirL6>p0yriPtiPOAsqZ+JGQBoMNqSZ-~Mx4-0NblBtzUkIMu_LTXapBmUG`3%W_m9S0Y&z_FpgoR7G-#dAs>NG|n!N7eo`HwaW*Sv(iNB!j3UJwm2mAzw>aSs9+HQ{Ocv z!|q2KY4T=f^FT*93>D>PvkA`xz}KcI7K$JGNr!$Hrx`*lGMz#C%pRyZaZjh-#xp$H zueHM=z=B-UFVBsnc}EbtrharAnQ)H6;?23@2Nlw!55TvTn=Hok%P5oCzhMn;)k&^v zwmBk4Mn=}rdGw8FVhhX2met?rA)orKfbG`!n4Hq^Vdvr|9*olrpqj>Z) zK@}IsG84#ccQV#wdv9-VPd96#>CKF6xvjOw_V#^gojI5S+3fl&DhHICbFxdOa@IzHg`Ljnq(#;L=(9WAG};_ zw8x@4Lst0fY?cpnwGUtghz^1*l_D3_7vm?JlIMcp&yq_>{ zcG?wu(K%am@1?BIm=k3f(Pf@8R+b%Aq$@nnG<@mco)5RnsnR@5TX2u+-2BKH=$fak z^l*Q}?O02Gx3~L_|FD!@fi-`uqk)u!SAQrZ^;cG#kWDe+hqWJ%Ruj6nM+< z3R38XB{iXK%Y1`QRvwrNH+Xn>&MvPvkuzIDdSl?7po6rDD%Prg@a0(U5H>j3+FLqt z63{(w;wUMTefk~z_;_wf$mMaE{@K?NQPQ|@USJ$#%FDFFyQsAWKfVqW)r3ilKm$Z8 zFQizx)eNo|CQ~!1Rmz%h=dff(6>RqU=|!bQAFYQ)=0`(>OvmJtHD#+bIu{OB)F5@G6K zp@~ShfbbVr0WBOzyd+C*$LA`l)qy27lkNqr-UnkB3ccRDHlt9qjsIpg15sze53b0C znx=MBo|!!~f|LVadRA1gmM?=0(nv=#ceIbP&`|19)%JECZbtoS51QBe0pi+%$vA=R z?So6_0>bh(G5jD?AKg&C;f~8OQjN$D|Dk!(fUF?1!1wO`Nl@u9=rC8XI}V-iIG2?t z*Wc)!GNN)+lkyTg!VzI3`gI%SH#d{_WB<`7R>m2r0l~+eGw86;JKhdKpDb0(5d1cF z&E>9x@;m8`s&JWW?e;c>;V$Wvu*7sr^+dNuC*Y%)e1^`9wQ8(- zlvvD<*h2^OR>21IBe;W;;1f!iX7Pl5g_6m;<)~klIuAhJZM>D3-_o)V^LSB{S^Y3r z*5FL=MNv7StOVJh5=LI@heV8A#N_Ck)`cIgbDawnWp;9YU*ZwIO%s{}?D0d6cP_h% z3uLa`5++J_|6S4}&sb{ui>JHToxI&S{4)bfzkr)D{qpiM#3F|oGtL6jT#YH4h{cB~ z_bI3A5#LispqJ4Ck^$P`@xKR+&xWo6gFC1QJ;ARD|^AYlrhZ|(ZQZmC*Qz0gVXJj zKGAR7?q{4v30f`*z1|rbc|6Hbeg3SsabKp@=9R4H2tgjeHZ`rlE$v+5r)ib2du38h zhtu*sESHC9-$Ls7^b@QsiB~ZTeKP|v-^j(4ed??U4&8ayNe}6aBXyZ0e`7M3N$qyv!vRr|jv`mIB6l}_$4lmMna&S#qu651DDC>-_* zj-(n3PM!(>v2t;bSr)<7=~Yr?z)?V!8~lg++7 zpgunG*@#qXw|_~OyD;foIkP$Gp1Uf(1hXND$lJ{l0o2%Zu8(Gmr_% zWss~Pv0L5|i28wUq7 zt5xNHNXxM*oIC^aEq`u&J(9*{Nbfr>!ppqnBUtD@4Gz{J-CK8G=DcF0$~4W|#ZUrE z-bfrtEIK7m(oE2M?2oyZY<}8@Jt6d)8|^b5jYCJ@L_Us#|T(_Hz8{e~h#;u^P zpBOJWv7XVSad2>;Y_{my&}_<;9UpJCMIU`WCGoh~lW}ojJ>XsV2K3W=7K6=K+MXxi zHOK?9{^qk|a^JU>9Gkm2*pz$P+#{x2TG+DnNd;Ro+E!oal8hQ7hm;h


    0AZ}%zdB6NPHg4$4!S0at!=jBcDE3RVRibN z*V2-+$7wUP@W2%Z1RALDIj4w~W2fJ5ovrua0V(*mi(x@T5wQ<@+Lo_{njRZJx7MU^ z9byW208oS}h%U$+26(AwoKK{^FG2!L>ll&MXk3@CY&0QHdTgdp?@bNEj`E+i{v=Uj zG%k{u_nzhK+JmxB1V?z)&%YGrWy*Uti^U2RLvRZWb%*d&`%2-x}@tjAU}1l+!Qd4Gc(5SLlvb8xI1FaJ{8wXC)Pt>JiSA2?%Nm?vF9Yr<=vrGHc0O^)VTSW-77X81(ChGgs`xclTKPYMVbc=7|YwAB1f8eG=}uz1kI3vPXrKr&4ts#ieLJ z73fV&wHipi;mX9jB&2lVbFo>GyCGakWop6fP}bJNW3?h?WlbzC{XAp>lv8<2)oZ>7 zy~k?a^jY5qiq9Ia*YI5F$dDiu0AU+eb=IpL?oP8m>gMjgbo!WjHQnqwN8kdO@l*(&U&>fR_gy8E|F-Lv2V zW;Y(7u-fkU4ky2Gtb{Orhw|2oV(zRuNaEZPG2r`hM-)q@-X{nMk#YSxWqsy9)*A}O zR2?f^xa|-`u0eY`wEJ&psHqKp`9T7jinpygqqk=p>Md?nmNw)zp`ZA3L^Rqx(Y9P~ zIj+W4em~T>+=ybzwifmuJ62ypK@%w+Ikq;0#^qzB9NueOU8ndeES^xBWTr$X9fgK7 z?DXmtSL&aGsDPj@OZaqm*2=cb^4#kDl2bba*#h-^^W&;6fa!!QB>kPJ9D!=v7*pB9 z6K#o{hgV{05ULpY^&3BBsyi=9ZyGJ0cU3xm6EFhG|cdP+$k-@q_hER zNetJ>lyPBsOCdll^C}P+?E)l9-4(uvZGIXks&x>6=FXA1fw%O?kiBbU8$6vq!^U-W+snFcFzgc$!7d zS&?T|lY&yT7yjrfo8^}1uFPkq4sWNnWkg5QWpp2{YNj@+B+Q0f?<=3o)`a%XIhwG5 zvY~v%OfiSl0(D-NeuxP+E@$v~;(l&-$T!*E*d5PJWx^kacs(1()7hV;e68UQb-0S< zLA2xJZU;QDSM6si@C}mk=!9`)m??{KioQKun$M#CB#5nD!dMj_hEnV=QY(CBIvM!Z za|!4aG2C!KL&7CONlZJCg@&;TBh}aICn1E&Ob(?v>mT{NIQ)H|j1nT6P}rt_f8hrm zmW{7dfm)>4;!`#Ek5N)&%!+Jlre@aczG`TEYiK}TxTg53r6TxHY4)66kLii!3y(~; z@qxfk6-=z8+iSn#SMKuYvd)881Zgx!0vSPHZpAtA%}C1=&zMF)ftPKCk!g*&5EO5l&QJVC{D)?%>bet`_+q>Pv%?XJ= zyC|-!?jBR!oN03Q1AoNixMj3GsLIZq-XJ$_-(e)8KDH}vuNe|wox^3BmmA0-0Yao@1?^hBhx$?V`yLl`O>Cs#griiSE~4k>k3W9=VB>A7bCg%)*U-QPngKlv z3wX-PRcfDyQrV&bOvlUotR*?|b^MUAhRL1Fn=8omR#8P;;8)r+_9OQg&ZS#qSpL2w z!!>vwA=8$>@^Ox}k{7jkFWp z;Uv7hhjHX!O7JapPwUjl{L15oX6t)~u1mNy^=Ha#3P?Y$D8OTLUGnJfT9<{D?cWam zEO&4<8x~Yf5alU@sQ0ix6n&d=GDiE9Fl2TGT1T zsD_?#ZQXGg+k_U*HQCYs)uy%Q=Hvj)v2t*7qj@Yus0r5UR&ee>*z#ncMahc*ikkkX zQ(=xo3pBFS5&f{}-)bg>uI7}{JeT}$RME?{&CIZ;9WzigRk!VmlBP~vEW96fkR~Q4 z#Tze)IHTT-O`1D#A$=aEAa@})(bYXZWJx8|eyF;-#Pf1pxBtP?g`sR-2k4RXKk%ZP z%p?FxG_}0Uhi?|$fG!UL77k8-qbKrrZ*T78-mBVge0b#@jfz?^n^%v~APm0VJE-7KhX%#n7QXUOM^E}}mxBp|GX-IvF8V3KZJ zh>5~F;C>LX{>X@r6pSGLL?j}wcDnirv%MPH)0om_O3=;-Cz_`?()nA82SL^n*p-V% zPF&n<;vl>yPF=6_i^Ii*oAr@HxrP+%%pJ-eUWBr<-Du!mU~tgNEmY31ymEpyn9YIq z09J>S?>OU<63~!dMGf|~4AFoINiF!7u%??@-G5)+^iGb7DYfE|KY=xX{x!pxj9t{?}E6U9r0v=+#l(0*fozmn$=oz z`$Bw{e;Z_Pcgg#d_IfNs!A^tBx6|g`J!ERZR*v`H)eHD(E17bm<0N@D*K0&{rFlg~ zHvE^Kmd|1Kv%Im3q_)P z^MI|ry*+$xHN&H#!+K|oQQ%xtc3Bv~Vs z_*s8EN5m%TD;Tib?Lsq|R_)eWHa0fFd}^WTU}wPk^_>TFthRn{7x;LiBxm+J3s1yA ztGBzwIU07P=aR0A;%g7!t{FG~;JU-EHjgxS%dc$@{WDW7+=ACIbGQbcJyiOt&On{ z6fZHqe#Lm~1bz=Z>r87nW#`2^=wOIIzUN`;<@>Xk-2fXJD)D%F=j%wE9pCjpeRpB2 zQgdH}c#Jgo^hcDpyu*wcm54|V&;*}dUK;g8;MBdz3-YWB#Uw77k}Q;EDS0E8${KmJ z&~O1Lg)e@+VKnSZ2PByi6IeNv`gO+5{B%f}az<@<8>nTe<7S(4$uD|O8Lq`j4rdBo zO|F;HI_hUom@i6|NxOQ4vPxfF+eXxc>JBG&7Lm4q9ze;%R?d>VUI)8_v zskeHt(5RNj>oT)3Vk2M^z^_<`Gf`D@jRnNQRX_$Q4$vcSsoAfCQfd(9l}X0TOXI1cbcG%CX2F=Baa5CNWK<*8|Py zeK8tC@foB`*a>Eqr7ARAgjBKtITuXSyWGF;q<9VN7+{dRmlxOS*vF6F*cG`HRu^4A z&&&EiC|fUXXn0)hcfUdA_M5ZXE-uV47)j#*M9>X))a2#GGLKZ~xVQtk(Y*Ug1(SP8 z-0qCIqLB`YN>Hn&H#}l}_sHzp9yoH{eU}+bID~w^m-ItffksbmP3oGabtF)aj~J&nau zWperJVm0dz2<_;fKW8G5QE6W#pUh$=-f%PHdrq}%k$I(hFuVdRIMEfV#1e2w&2k`j zK)od*mfN_omVJy+CvtjzzMfg}NE8|xijIZBWH-h?-0%z`v;6K_hD{aNjH#E+IeWEt zuL=?u3@of_n;9-8Y7QgoFkBXv5|Po7r4z$(taamXlkw6MZO1R5^K%Ck zt2>yjdm{u8@)OsP!R@cmVXf5dDL|{Q$-6UKg?2dWgOZ*@?>tZGalOCyt#47td>u2( zR%Zp!_?`h{6s$+xB5?p&haIO@FH_OcefXGOh_PC%2#Z}F+bq$0aq}2gNzWG>#{_#7 zCZtRtjm?zl=LeJy50>iMv%2zxJ1^m5y7n9^R-NagpIh_0ckwhE4vqE}JjXvE{Q4n8 z<97WJhr?pgm`Z91NMrB-0(|?R>#57NMrch9Nev`DfRy^*`G87~D~s1T2!4J)Kw&7z zToveTX~xEim0rGWC|#%ui{p~~qAVgu`PkD+qe`TXKS zzH20Ra>n_M$hDoF)hMQfUz_no0i8u05rhb$ephp=H3g)@xL^p-NNhPDpmFo` zZNW?ElB2MVK>cxY?~bghbe(xXBa+vg<=A(^Ds-z#l6UfNO>P9CgCt2EelToad!MjnH*KSFF zw3oGb%}K5tb-#;nOX%sL=m<}7EnBr;uR9{kJ@BZau1hR$iOrXraVqom|9W<9W_(oH z@f_t5S5qQUp5lmCHBnUZh#$ncYk9hc0s0onOs4K9tzk2u)2L09kQz-6WB|6T zUySnYtapdMYOq^cxUp1(7fV^|@Vr!1Fb`%b3M(rCeCMa8p=o+J1_R=K?cDN`1noot zPq3tAe)*Wofo07cB_$;>pf+!9E08KJVh-;<@Z}HY3g?$^Y+1>?6Y>?ZDkNlU(NR~& zA+ovW+3ImzrAINr9_UQwvlv(GPQ7ULemJ^OYuLtL)?vvkaq(m^8I@8}{%$Y^V_1XX z(97@Zb0#$tVQ)WYb6U~92*lsaC;5P_m%CA4x97W^xn^gYv$Hc`>(n@GNfP>M)f?M4 zuugF+sHpVB$?>W)70D~Z!NC>iC=98O5ZqX zx7XE{{&xg|&2oB81R^3LbP)^k;l(dLiRuY4N(!DvxErTd7>YmmM9Xaeza#w^3)pe&lf9_d1aD(_)6@ zWM+;ZPGw^<8zWY!(2+4WFaE?2gmFnfs5ft32Z{g|i5=N9f9~^i-^4&oB5aw{^;U`H zD>=k{x9hrt2d9Vku#P1mp}&%n(Z-fCThD+AO@V5KO8n#4<$Dqz!}(hC*W&xw*jE5% zg@7T1i|t{@;o;w3%oX9r*cNnv@gB|usaMS}j+oq0E`8y*iiWMVui2yNkm$M$V>}MA zfMSDz&|_DJdSGSabPe4~g{$i!D0g@DpeqO)(O<1hG z8wj6u3;Iq6(?|6xtC;2E1*pVxTC%YA;MmwvJIWh51n?;I+cmqQL$8LEIoIb9u3%|< zSGO*i!6T()Ch=w0O|pe!)*=3~HKjgHP2RPzx_HW5A~_jNU`XoFl~jX9tQ9p~zT2X%nFMoO<@WB50T{{x<{Bh` zx^plxk;%by+2ds)pR=o3%8Ub6eIp_yBxGH5Ru-{n1a=272eU+=l4?{l=l0y%URf-J zBevmWWu`lD^Yi&#aPITZ5R@{3%n`JHPF*%Mab@L!Sgy%pMN>9WvXn>=^RYbvW_Zv> zZ**Kt3_nopAQg=;E07F5FjxG-4-8Ayy{ITBEG}wUu`W1|pfp%6m4C^*Iv1+=^VqBE z1W&cp0+e$p6h&9Iws!*?ou53AvsYJ{(w3T#N)#dr%g}CQ%-rm`#-Um4v67Z-D1a$F zAeQ~e$dCo#0*A+gnSj&DY#uLkVH#M0ze&W+`MCiwr*{ljkRaI>-XY~yv_Pf^Ep>{D}a zoWf$cNT5@4T2Xgm-`v3Fgdi}(o3we$|6FB$#}XZl5WU$%y8*|S5FP855Tf{wd&QAa zK%iq7yAGv%!;W2CP7X**JD0LUw#R;_W=oz=o&z*DD?T0_NDKj4rsF>JKQn*cr2%kxt#L>&Y`M(z)5 zMt7&n@PJI~b+|Dci*8`#l+E1jMc@%g5UmTZTI3Rr;5*t{v0Zo4=GCKrtPw~I(W9a$xV9`67$`t3qL-Or z%Cz8l0R==H92`K=t)QrAIfx?_A zEuyzE*&7hzb~(`nCi1e;)bZxgmZ>n1ZF#5)2iaeYS?n2LZtY}994TH<0I@XNj39Fp zxeX*Py&l9HXar(1vY?T4V}{|xA{jD%(cBNI!=iR}^uWBX)9#o6rl6C*l=;tFt)_3N zS{D@6Ba=f-gq0RMqL|W&EK0(IiIt}B3Mv)T*t1Z_$AxW7Sn@G6o1FIKIi2@`;k$0O z(xi)E$-dG0G1}>XIXP&EpH&MJ>TTE5;m4j+OH*d!jEuCoAZj2V%Mf`yxBENA`@o>tJ=U!yEg;xs ztXPpvHiK7M+6zfw&Bv>$HHlZq+oGb7jWUTeIxaO;%FL_?44N{)z{EUXSZSBEXhu}_ zmpwvw+@2XV_mI4uud~FV*YiW@HS>Q34Im{3z&#kqZGMOmk}xsVEbn@byX8V7Y_w+{ z=U0mfTPLUJN_ss^gVAcuJQXHU=gzN?ce(0O(g|G%m-!nGi4=7V3Qs=m@I^FV-H?B& zK=li$G#e>MfrVE!H)C*W9rvHIFpr|H<*Wdd>&YA)N!*q?jYC=qFD>;EE6*!0j*dob z9U@j?1Ho1GQi(* z2fmT8L`!u0N8oV|EM>#VTdq{OhP0Q!wh9QyqcIC3GPBqi{b>d*H-P)k29LhXnEnl9hL_vAH zo5sZ1S+%zNeHwtxQ_<3vd&AyX0#PHC)w*+GA@%Uk3h3*;d-twXw>^Wy(MU^D5$t=8 zUw{#*e=?&x=ISJ8!1=q8>k~=ZtTV^e;AIm+1W~u|%8AggS|)56&O?_3CN4uamyX5x z4Z_wPI*M9BwS@FwHFDLoI!tTFuz}=$hf<60Fs4a^>mev-UVs9S(M<)YtZPoY+C{S_YHI7K9HhfkeTNzI(>EW?GvAx0Lt>V8ROaK;W_S$fl)0*4AB zjW&VP-2Als;p)tcy<9-U4QWmTMR6+_80BDb;Oi#w{DTJ1*(COnF zqVuUAOG-xQfG(~$NxC4F*SDvSulg!(XOC~d&$seIEI)^m9e39NZLD2a_x|SK;Fw+` z0+^{r!NZdRvI>(L9DpeUG3bY=M4doa>9%6qjRD0geL`xq~M86-VL?5B05#r z00?a9>KtD3;CKTrIWA9d)}Fzj!StY;$h$!$<}V^izvR4nehz`|2}D&OU-QX`79&Ik z04Hu#M({ktafGLLDc^h(?cq4ra>la4L**Gv4N7=Kq)nn#Gs-RWr4;}zNM3@RA*-8@_wsOKt!ZsqcS?^0&8^elbQX(Y>h7uMchw+ z1G2svEM!?<|2M&&)wWA`wMVHkIt5YjLIm!1`-aD~bsbcceLJJR4}N)$?{=NX+GHr( zpN7#Q4TEkuaiIWWL90*C#idzb!i>@&0udG(x>h%%Bc!bS3@}b*d{t!(5qY<}t)EM3 z+8fTt>+Tuak8~6B-?NgOizr6*CLh*5cp9%4cID;f<^7IShL`ueKGYQh-BZjX*Fb)a z@r)6naZKhu=9sTL?i%5-H2*LWc*f+>*fjBdZ@7V%oN5lHdp8)3J4w-9`WCsA4C3w!2GQC3-~4i zi`J*HuhwPcPm@<|=Ti=h&B7`Xan!EA4b{OjWDs@3GYna}6`~JOq9rSuUm6oEc`}>A zRGzFcqMx8JMmQT#aPO&Cr6voQEUG%^r%>7&uxPikDOG*=b}ykvwEJvO>XyC|yvqWH zkAaS0H;|_TUp-;J(bKQvfcV?`gP)HA)*4J>@vwj`7BIMrF_W4U2PscNJ9^MEEKDGt z+m|;nf!z844KMDxEqyj1ahgM33b`{r8sWs~C z3z*69k>{97GDM>QL`@+_mIb1IF0etz!tYs-Q$0%?pUxHt&irnqx8m|y#~Ueqtv6=9 zPk*zLYe_RcbtscB6L9f2r~4%pDvt<2#|ua~mei7OL*EkH%XDep=q>li++LeU8;mJB ztujON5q%6Wj%{k>(P~TU==?v;z2#R`-5WLvf`n4ijR=y`-AIa*Tj@qxq`N^%y1N^x zO?OClgLHRy*O@%O@t$%1fcL}sBm=f{uf6u1bKUd0udo}&9AAM?k4#)hOlD{=OG3}w zW}wL-iD%tabcmZV9&ps5^YSvCsoH{f_6{Y7Lu9cO)^>=q`}V^HZA8AI2`JMOfz`s4 z`C6vZCm2i|U@72qnsPOh;)aaHOZ+E}<=O>O$^h$P4!bBYJI1rrGs1^h*PuZDqjQ(R zV#Me^fNUv+p54SMP@IfCd*{En6jt|C_BlrRCWo{sv_r>AAa18CAZjKfa4oTy$NEgqC@;jB8a zrZ{N3s{6rpn2B5qS{M->{H(enVuOr+VGy`8RCME+-ZjK_~Hc$O^1Fdk&+ zT_}6K3s{88P)W^&mzRTFOF9)ZJ-xjdCgZspK&>AiA76i?pQ&aZgN&kRmyD7n*WxL zF`1!4N5bliTcLZkCKIo^SYg9rBH+|3KU(DUHhj&xBuyUaV74!CmECb z5`8+7<&bT2b**Y%Qslh*18rowOixNqjtZbSz#hixa$l87K2?J&O-3O|%og$yn6B)@ z*<4>oES|NcopcJ;w_*QeKRd1{V;PS&MwsEMgLT215(>~< z*pYfW(`Rc3;0m+1ODD$h2|c_vH~sHh!NeQ>vndAhZmrL8$ComsLjM*FkgdKQZu3NP zE#Abl$)f2n3#_&Eyzujf`(>sl_MI2xZwIS z#Cy;XNcB=ZHt`M_a}0O$5%cMu&06+VZZvnzF+Dr%ULw9c8>r-&5}-b_#yy*2dcUM3 zF_ph5L&z&(9)pJ}Qi!`?!nMs^P>?MPE?2nZ1wM(1b%YQZd+z=~l3~{XZ!HU2 z?cm%E98A`&`6<|&M)79UQYe5tmOOqcP%O8ck@VB4Ha9q%}e!xsovIJr|Jte z#Vq4xHEjuNXk){b2Iqg{V31HyzTabohA;DUzWq0z`Z zGPh7bs|4FB!CXbe;5VxZi)QtzjLI$#x4OXAxD`P z5&Oub<$8#Gg>yg!9t|y5m@O}ZW~*WICbhEys1^Ud-edb9E(a@Qu0$!KQI+z&jF2~_m)7$JhxMRM#- ztq!hIS{O8SWI;p3f>qvmgDP6!TEuw`qcA6`Q&v`1HJ6@m7owx1R4dxntEYi>Va=0! zcK%oOYv9#ibDFY<^{UWy%Obp#(2Zp~UR0OQxGdeQj`qtPT`ZeS>=g9$QHrL58xuPe zU`j)X*fP<1?+joX;WEEKMsdh;>=bCnyE?3wCPuk`b}~W(0+=x|F;_#a3-dzFz41`v z&S3)Rs)9^Kmk$lF5i|+tE!E6u9!ri^Cv-f%6O%WxTxzjalp9Z$$M}$q>ZlYe30@z4 z!=B@0`N2wQlrVEPh>VKJT`m%1Y~vIJmxFmD-mTwZg{ET5^U@i!CV>E|jBo zcgBK+^@4|oum7V)PS@Y_Nq6SfpMd9rpVZJdMZF&h$!erzn77(Y`}32#LqkJ{#2@*i z)bpK%ioPvu@s+7Cfet-RB7g~zk)=78lpti|N!qLz*S{5@@aAf{WrDgt!WME_WET~= z3YB(K$!!Te9O)T03qj%S^tObAjDGWA8mZpk!W9%?TD|iopwMrj94!StI@O1+agZpc z)s13NsPZ<~bkw;%(MR&|6edw!yIx~<&XQvab}461_Crv^^Ovm)=~pqf#JKG=$K*e` z_=lER@$;;k*VpWcHC$KYY&{taeRHk1Chz_>j>H-dr0q~7v{&|PI7n9FV+j=dg4bLF zf>POA*r#V+s8RkRkPJ8`nG1+2t+v;jTB2MNaPl}xV;gf)OH);0pUlCW(vsx(7{JOvH zACp4Bzbwe5NK5!30lt{$dGI>>*E-MBk#((7r4Ij~Kh&*(z*15>ZVS&st-p~%z1IXc z*kp|qq3CMkiPY&cmC);&&)n5%oSJec<9GFkO#&)aweeo zxO}H6!?>>~W&*-WN4LSLY}^eMWGAc20t;%EgP2yxJfx{ z-E=z;^SVwfykBG$FP`x?cFjiov_@LzLTDs-i#Qk4AMHd~mMq;m@d0ykC0*Ss^|E-b zKKZG^qe;pnFV^uTVmfb1^gf?oo!y7-@~`o`xuzH|-f~vssN0|Cir;evcb$?iXbP!p z&yIV4Y}c5oJUwj^1LP4cEiFZk_wE23)Oy-N+~-e}NLUbyhx)d)v7Rp$(+!mowW&5* zvuW}=*y`nQyd{^gp@cC>229^U?MC4rYIKNLp_U_#q0-{Mm3=ZO;DhbVuP4sUxxOqtP$nWUrGh)Gdug$^wv1+p`(^Q9}YzNh&b& zhTZV(uz6nTF(s^!`g~pX#BS`ZPc06nCp-)!0wN|Z!NNBI z;jXlyA#A^LlULQxm)dUD0RdNuV1Df{?MPSj@PG&AD$X#A<$wf=-)Y)zMP6vdQ@YSX z1Daj;2B!*g03O{X4BW^LYIIE9BFsvuy74$`d9!pO2WxPSz;gxQR=&#jFHOh`hg#FE z-B@dV{a$gHFR0(K@#qu5XN)TIqvja>jmHQ?4~S=ujPA^LL^!{AUf^ zcjt*vWo+LQJ#84RbYOKxR_!5eqKej3FHiL@6Ioo`_Zt524|sYqtoBdWx%+Oyjr4j^U>}2;!;@AjIqhs%j?l6;hR*i(g}0Etp!%sKEYLe*)CxuOg0a=Ob!N> zhGZvSseFe1C4;mIwe3{2&<^&Ymx;%WWvo5eeMN`{mtpyCTTw##*YT%St^=u-!w-u^ zTB?0LEU7>oEpzq&n!lI?1a|G!0MBdpANp%vQ(@nZI8BVK^4X2nMu|f|>!8Jl&*5Mr z#)^-xZ(W(lCgC_^^VfHo@e-p2 zlbXbY5x9e$RfLVRD%7>xh$!MUkfX_k?eR(EF=kwEYq zqxEB{-d1c*e$ zt=f!C=XbEcy$UA4l#qBX)H@E#5+U~L#UCZ2CO9YxSGGa+Nk`t1b%r8-U|fVnOG@{d zrXO?el8!^n2Y17(A>R(kX1O3fVi@c=VuPL2?-ENFtiHZ4ukR2ijFry^lO8)Kr2OeN zN6(uoejnjBg`!cn`$t>x_V&~)1snEFaGCF(0q4Bf4{l*Wz3RfKI_-&H5Kwxv^O2fw z+I(u{*^{PRR!gh&?x%(3OPl8Bi5r{Tm=k1x-y0^rM%QG28aT$!aW=&>9}d^ta~KB$ z250w><~klOt80%=u!LTx&EUKH9_}qMNQrAoqQrGw)`0VSQD9f_T;nxSbm^*^7(C3Z zsVE|9K2SJadLh!MKIvS%i=5;7b8Yi=;$7qoVl{L9Q99uR1g9$RtqTK#GcO&fi_6ZJ z;=-BQA6(=gR+Y?Sb3{}u6P1^)9l#yIJazXcW8idugeMc9l&Qf#4`99Bm zy&0f-oc8AF#oNjgX1UrC3+iw94+>5**aVnh4!<4_ZrYjb!jdP|f9Q%sdL2&JFLlKi)oUP(g0?7FN=2MgS=Q5^k8P~FNMEA34c3!)m=zpQ4 zZk|g|8v;Xy`P`$U>^(zJQm2kV#n+HK@Gb8p^4Mdt{c+ZewlzgwuE+S4*#2wKuw9>3 z@rDqxL>v=}Z&x=jP;lNI?(FxzP&nfHWxRYhe<`m;F zqFsB3(m#^ogk@zZgi@2jmymgKn%#KrRE)9U_le4FF;ZDuzmk&YkyBCN`N>~<3GRb_kWL?ACTLjO3EmGA4iHf+3bZ!WBJnKxFeG+xPlwICW% z3}KhNe1TQ7f6{PB{^&^fLl?PVLGH`98BjtwcdgP4&VFD^{ZK$8G7T-w;))afPRkYw{c4S-(#}ClI8>OOb0eR=^jc3dtUS z(wlvF&26_SyXiKaW>`k2wa6PeG~GWZXLGzF>D<6L0Xu-}9_4Z^~H#9nW>lmWiN}W7-L+)TTD2Yb1Mhc zRl2}TX8r3mlonIuZ-zg~n-AQIG?c%Vy~$rFIc*kgAR(zm5$k8CpiEr~x`UM(?O zf($>W1M=Oa*=hxc^!B_Hr6|JOC;27o$ z2-h&${0{!9w!k!H_Qy_x{_$bT=-RyZ$3L@0i3B6|)aDJ-oBUW}gsYu{%~uOzBEiqc zc@fduc_*&^7Pp|8@sjWF)bC9$HJ&%7PAX5gyGVg$~7SRzDlkPIaf*oQhCs z8Dg#Zog3=3@X@EDBO$G?%v`aV-YP6U4d)RHC3(%X|2-aEz~_;PEyI`vC;$>FOM;9_ zQR)Y^)PUY>otnZ*Q?qr)RppM(76i{l?r65HNbVGUa&`qt%Tj8Du#fSq-Uki+ z%!JqoS6mVCwi}EUivpi}hJrH9?i7>x;{K+%xd7K=(QY}toAYr*DQP~5GnJSiJW-R` zeI5}}3v-+kD?RP(?DeVjtt~4f=qI!J2nA8-!-LypPU6UpcRIG5TNwd5I+nxv{)%<# zsBvQx9#;_pLDzFJBx3vt)c3`Scr2AIdz33|ajbNY2Y49m0pF-3(7)A2Z|aYpB5e-1 zMZACgjX>zfYf(h!uWALSom`y*uFHKsyKN#k7Dt~%L`0C0>&AjGFfclx9!=N{3v%|C z2F{nSiZ4G;fWt%iiaCyg;zk9ugw-xU$6qqHcxay;KqVbX3i#lE|&HxYH`D@?Iu4i{++TXBp%EUIjihVx^Jx?>D z?u$HZrfB%mM~VVcsW-Dr4cA%{T!-&|F5JGf-!rkT&!zDT;ZE@%*=t?-qS{<9@GVcV z$q?JKRR=jqG9`x<~E3Dx%f1LxBC;VFo zw0eK0Hx0`{$K-2s`@K{{Omf)L+F*C8osB`r)Qyc1F!JkQ4{2Jd3(UkIxr3KhYU$c0 zSJmI5Et;A4Vp;P*75?1!K9Ng$bC*a=mg=RrKv1g=@S;}5>6Vr@Dm5QR+>Sn*CV|Xz ztgxUU+{AoMvnS^9U$mXvtk`^8O~x%%Xel2VI1#ual9%HtsL5CVr%yrzAYwfhg-IBM zyDn={<`i~LO-s}yU6{BEpuWZD*6Ho&m-erzxw6wzq`jCx_PU5bp2hpyMZ=?jnGcXk~`QKDuZ<2QH)!QjN0f7@ahmDV9Er6B6Qmcr=@70 zsMzuD{5OoHDtYH&1lZc+rdq)(4kuHT2r zCmdQYp0hZxr8F!+R?XhitZH47KE4*X=Hzc1zY&U%vr3uQjLkRN z8cxe9`hZcvv)n};WcpP<2Ijet`VrC`=#ZgEf>lM`EX%bzXKUj?(1toTHtuwh_O$Yo zbQ@wqV!l4ya#N*#nA^wz0QJotN@IxWtvI_R18t#W(K;S0rP5{u5=0$%jR**YWM;m5 zycxx#!ieN#b6Z)?g;!CeEscz^$y%?~t4Uo8{N zy_Wy0OG|Mi@?%Z!FbYN`;o^-zvel84oFXL#Os2u4c zh__N_z7&i@5BH#bnfEQnpr3}fI*P}kM&@}@QyM?N!Tu%P;jj|6t&>r&;tS@E^Nxuk zygV~Vb)M*j0$1AEi+YwK%F{MyyP(26NOi61IMk6W?F%2#VMw?7TgQ1J21 zkr=!h-TvQI?0dOTu{G;qJjP=42QiHaD z+riHsMeT0y>e!OH|8Vb;oJub2H2fvWk_|Yh#1OsVqHG5aT(F5VsQR$7b( z3NAR;HxQHWrT_ufIJ9NW)|$#)iz-*1xL?oVLVqLHEqa!u!|&!~Kx4*nGgb;_j2NKV ztu9YV!#AuKD6#pLwl17w7IRdK_Zv3bwyeMC30qcIzXSR=)%eBK@y%M&Q7QHK??q#Y zK?u+Bt$*X)oi?j|2Q%1Odi&^#@&Ya70YoTpiYLZyyhE_#n&L`mY6}lE6bOi=lihy< zWr^lB6EQdb34EIEt&&VcA&*yqp0MtlW(*ka1;gh@(b=D%Z6cHZYk0xk(b=fayZ zeAeTen6-w@QTi0lVo0$R5 zVJ(e!Ox4r|kOD^x-Rn^5Ljuv3#U}ibvX}kx>ltUq2!B-~d#@Y(wJVBAHF?jhw&VaI zdiCfiZ07!~_=|W*kDB0f!Os4QWVSL(G|B#uQS|o@)k@d*Nl|9o_gO5kJbxQ4lt=R< z9o%n5WZGgs=xML=3`oGOQH5qZgdI+q$wRO~bi!VaeQ|^q@$>2>jQRD;6^L0sek`9( zGQJK?m6b5MwC9O6yZ}KEY#p7QHb))E^Lx3o9mAjgH`O4eYQ^`5?N`(4k&dagvw3XQ%XWYVimh#$(7zpAd<= zwht!aX=1#R6vRjHaO%Qf=Mv@EENu9~Z1EkE)+jmc`!4r<@g z|N7M00c^i?=hPjJ*8Q=%k$~UXW-apd?d{~KA`-(ZG_=iLNm4)pSbc6jfai07gs%0l zAm#q7n3N+8jBmr`s*o*4V6!VjjL^}NoSHMCc8Z{c`MB{&YoNvE+1+D1fpvGv)X%G? zmuY8CN_0QIye%k>zp!X&^|$emRWUYh(ul*z^a{Vv;sKpw_E+963%x{e-ONRQe?1Mk z;lth2x1kHGsxY6`n7xClVquE|+%7Ol?DVFjc|gM2A58u+I7-5h)Rcy?3L9m>w!^<`6}rA*{A8f`lQKb7No{9ZzP!A= zhl4>P$OJ~+)K{ej9M0`|sHu4a4VIv5kH}GUO`t~wTq#dZPbHwxMrf3=WA)*D zZ#kL$x9=6>EL6WF^OmTW_#kqAW$d6gYRs-=zSu)VjjoIS8vcc)1Oi*D`7*iMHsnqG%L(KywK)=ethZ%TS~^8O3@|$Db$)`=dc43gFOgw~ z51dDU^02~F5r#}6BbGgJ>kv+%qR_dVK=&#-{&o?6+ z`;4^(b{7^JmQ%&|?z?+kckT z(=;+aHime`y6wB6Jm$ucE;1tlHF~qVn;SOT5>&rn8JLMkOx|20tEXCI#;rdEfrExw zW>x?S(z4>;AA3)V@1|Tl@ou*(+G;I+j5m1sm$ajnpgf+apoioBCKqHT&hkYk*Yrkw zyHKR;oWq3upEgu|CXkCzQ5MkH&kUV)|GDdi!fO{9a(6XWsmRtP$U2bYuro2k z)>yvGCYKZ(&o6)^XzjDfpoY1-F}Od2j)h6=n(|Lv^f-uM{O0BSSgA=66@*)kRQzb? zo0SZ0U#_&jDU_X&@C`D{^Rwc2VP%Mg?A-M~MZv4hNDCe!k`Pi$m>Jy_6pnaD`%Tdc zwXFQQg0|siQAE{dJ8Dk#h~Twyc$`^=-EW~5m(`j>I@Jl*=Tmh89A$?r$gzO=w!!E7LWYV z&IGpmRhUEkMR&{b{NB@g&&ir%YK?yXP~b6Ky7NuN;a`?G8~dZB;UxNMD;{n%mnbx1 zE{W4VzN0CVhfLC5v;QEj-%06!VCk?QEJ%$=lP0>Fme_aRD!O-mruOWreoe92c)}~+ ze1Yyh-H<0Iv~^QjK=HgbmQ^5XK?V3t$Dd( zU1T*53$2~Tj`6%3!}cre^$i81IOjzQ(e0c>Qfi%Hh_Mp>G_ zb*>d^Yk&RPHbozMZ1NS;;0+`npQg936`xQ-P8bPVvLy4{;VsE*b;FW7w?>T zeCs-CoZ;LVW;1Abzr1ZppV-(db?;Z=B$ImgbpKN35m49%Y*8*&dI`d6lcyTYOsh*4 z&=+BGrtry@z1nqc@16*XA6kmBKw$woD#(!6g7@~YLGo0Q$*G}7VTB**c}W%zX202< zBaxD4sI;}I*12rSA_B3uUsIqsshJ#g13JmFkm;1wpZs`Bd3i&?4-MzDc(DJes95KE z!wMu(K9w>K6ngmjxxQddM0*agaDOn^ zw*Knm+{G>;s&VB>#N)`UT6a@4mnIBJ2&p}WNlp94xAz74DoP5(eSoD*$Qy6zBR`zd z{$>(hQ%fsnD~3!oxS#+(CTYoupPxUuno6L%M6E(1E=_XjFy-c~t#e(B3+@Rc(6gmj zQ`*0lyG=wCx@3&Qc{JPGGF7q_srg<7k}zF`RY4_JfASjI`lG7+WWp)BlwLqt{9}Y` zldfJdLb~SN)yd;OIPUwlzgX79bRO|nzuKd`t8L#*@`j8N?H2Az@R!}(gSNPh$DLtXHlX3 zK~7H2y&?On@?Rj!%i{Wp2T?q#xo_9BAPoI2pQ(f53 zt>Lwqavai8SsH#@nBmysk(qtRWFGPUZTxqi1LIko=td(TlRxwkPm{-EPSs6WA zX0Xmsbrn^4Zo8;{%+TxP>vQY)or(4Z`V=S5q|}t5EVn}$(twumji4FHJMRLG`%;fI z!H!}r`N(l1@jOXI#dksD3GADjH9f#xT@KUJr&b)Ky%{Y%BHqCcZ!*yE*kO8mz-XDx zzHzyw93G4pA2v#Zp2%GYas4>P5L~K{3EIrXG4nUdVYM47N-|&Dzp*J=s>3o;rM(^d ze$1@QpU1m@?Q)~BHOY0k8oYDAF+MCsXSW;>)y%RokjTFgJ7>e2!v8eH|Mf-UuQ=*n zx#ONe;k@K-0#bFYnsF&aAqsi^^S4^BTXYW|#ft2y58ioSAIukQ?SkgMI+MV#q_&5s zwH&#wpdqRA{!Y>&iPpTtGr0#_G3Mwt#CYTI)yU!kB}d&q508iUWLq0q4L`<8t*_sr zUmkSt2YmZsz+6XRU(Dv~eU&*$#XJ<5zop1I^HtD} zC(+PUjInm4dQheI=Wjc|EzGbaaEcsGBv(|h&tn_D1XU5YGUmn){wd^~JdsRHnqGwh9+Oh<*y$);lMqrP`IwSn$-Y3S4=M( z*`KOma(21@5eipv1=!u+xh%Q`Nkc|y5a4e6Rb_rIHUHZTbFDE`ce=ib*j?+d?+|m( zD5&9w<|_s%`KU_13cAYopW0rCF7bkTi($<3wMExLg3hBRlm>t#RvxD`+e(Ia9 zF02J~M%c=c4Tcep?0`om?D8PM6!M^0SUASZ7+Rz4de}w%io8QM9EMU16-dC(jwf99 zvJcSStPl?{3Oh`Oo)telnDgA<>)&1@qwJ4*R|(w?4O^$x#&VBio=)sr+0h&t8rXZuk<)seoS?em^j09qr^75?(}UeFxl zxY%3pw>RaoY+LcpoXRSYOI*)kF_|ECh@y&^uM1@jQ@lBFhl@r?zvP1c~<|CAD%K@|%F6aN;ga0f45~c&O$mycX zQABw7mxC$u#l{4nRsHu-aRZH%zXzmz?iIO_`{bj8z2DdqjZAQ0ElfxbI4=}D%z~uO zFL>(rGY9sZKd1i!eesVbGw@Q2a-v2I)PY|wUjq%w)BTnZNVxPK&y%kJMkoM5W@U{m z)9cQh+5_Ib=zvq*YFLp$^Xgl!3^|a7f{4Lb5aQZ&wb;KqSx5j9_XZO=C_q{$P>`Pi z0eiXa4mfUo2351cbg3>dB`*cW1i%OcY_P#ZT%n$xFmd&a8nrNgL69Nfp;>juNg$E` z2swvA9{nqm#EB{niRW`*1hyg1(U3ego6HV}8X%A5Sz87q=26u0fFtpf)McMVt;YPB zW4<$A#|DBWgF#kbX=&-6J1G+r6Ddd+RIC2k3mhz;U1P!oZ)x0a&vikBX3UVqO!@nE zKh$=e@GDu7-(B+VQOKj7DSQs0$;rfmx7!pjzyT5%sDbtwv&k4GAlUW{4N(EfIf%6U zQAI*Rf+`F^LJ(KxdNHYtGpt(tZ?*w^@y4EDnvQw`GcFLs3G7d>VK|de^Twq>dSROD zDRPtZ#XCkuG$2y|K3~uo1WzEC;xT6@1Wi&D6#c{bI-Ibez`)(zNPw?=1XGHfFg;B~ z`sdFN|M|z@0YxmmQjrdjyMshe3}WH|5{LPZ3JTcZ{^3A@BMpvjcYl8nFvEOSWJ5N# zULhj`U;4_`p)xo`v{K{I%=%_Aavw{2F!M8Ezhb}i1lcYKXv95vY3^z)$n_xU7Ni)0 zD8}war!!`JK!1^pN=QJC9-dSM38=u^DcfSH`Gab?k2fOvSgvdmolu+>)ClBY0@qE1 zhJ{dne?;)2q8d{i5hRB%6ZN&)O5m1YWWq*)PXZRx|CLqn|L1Xro)F1rroImeg)e|O PX&5PSIk6HEonQYCLIiT& diff --git a/notebooks/figures/05.01-regression-1.png b/notebooks/figures/05.01-regression-1.png index ac88b593b569be8de7e15155fc207f00125598e3..a61e580e41abcefd0027532ed41065a3528cc882 100644 GIT binary patch literal 31013 zcmce-bx<777Y7Kz2@b(o+}$051&0uVySoPWpuu5r76}sE-QAtw?iOTmUEucnySlo& z|F3SVre>#ScDB3Ud!Hx$>Bz4tvgoM9s4y@v=<;&X-(X;1YoG@OG9t8Pfq~8jdV>EU zDgPZA`td_H{{_89ahB8h0R!_9=f4B???wOw+9>EIqwS{dWa;K<;%WioVB+R%@8o80 zV@ly+;rheI$&rGKjgyUwg~Hm+%~^<@{r`S|&B@h@o%iF@2n-AbjJ&kOcdx9o4Nt$6 zh1Z^|Y3_>=LmJA2&lJ5J{fH9bA7z}Gbq95<$}1N&?TTOBb%pg8np!@klp+5@BMRn1 z!}`nzpK$j1zU!2zTig)`=c1D`^fQhCxXX*TRW;{GkbmT+^C%1a1Q_K}#+AT=mpHcE zpK=VMKn|v8h(IgrS2ryD3ryp+MU=fd7BqF3sM6kvK+U@3{Q1 zWa!KK`tl%N@SxM~!Fq6Tu zSSu?le$OYxB3A>r%1d@<8${u~ZSJQq%iV$Ev$L}zkjwtcra{N%q}0?e*47Nw-ETs; zbV?L#Y;hG8EQ=L7Qr_Nz9_`tQ)UvKug9LDwi+WD5muL0UADoY}J#lbw`gRAS1wGCP zVMpC_Rgo*{Ijqg8Y~j|u zIN@J0G3GmcVJv!06$>U3mx!^WN%XmH$g{bdoxZpLfQpI=hKq}fcBN)j_nXh|?k)ox z+hOO!W`Wgo4jQRIf-kr;jljq+u{bxN%?7!)qa#Z`iEg&p$w;4#fZYEU+it1K;`#RE z`~?9;l7I$r0s;2duV2Qu$Fn1K6Th&jODZd&GO9Z9^6~Ler)b>=DlXSsVTPMz&GLnX zh3z;Cz{shn(20owNBySlm*R4On}PfrzwoteA4 zrfvqZb3EZ_L^zl0ZEZrSta@J@9og8@KF;xgs%VjqQ2)~n^s@4DP*+u1nPjR(a7ak4 zHj9@?PLUber)5-B)RL;IBGp_mnE%8aLnfTMQg2mI#x$PB?sO+su30GwqyYpxnm~WH z0+qR98k^|32a2Q?RX7$x9=gZHy1cwR3LrkB(Qb*$>(ba=z3c7S zjz`%}h@FQgd2CEUY0iGmA3C=>Iyw`%;<>lCZo7MXAVW-4R7njDXit_K?X>0uDJd!C zfYLHDGIMs0%_Px-!5fanZEcycB>WyTPLfz{7_)G=p?q?xs#Z|ZC#RmX%G) z$x-?8WrzrZj?%Y6pW*Oo&47GV3N-m{w!>FJz5})M+ zAs08da68d|Sf$|U;}JzE4F$M7Jseo2|8Oo<8s`7?VtIIu{|{~p6*sA4Pl?{?q6;%G zsTXJ@7^_--9T32ihgdNq2O}Fx5;T>&!sYIF#=v_i@oNeq>+O(;BwWjy+M{G|h)7@w zWkAQ>R>-A=eRE^@g?j_~5R7BLM5X4ao@~IhU|Vc91#X{aVj@Jz}t7&1`@#R(Yn!Ca@!pYWf7K1;{y&=c z%!;TL-#(;E*Wi5FN|3PXREEMlD-==;zEyPcFFgbhYSiT`;KNkZWnfpSe zp!Pkf6wZD$SR6TymPaRSR_--*%TFbO2><5gtTCVOM1a%GORwi*n>7YIB)7f6+^+^6yQ=E^y!6Vcz2%Awf z%B`riH{XC?O;RLZIX)P;=yXw-iW1EJpQc$YuOabY?dCMf1)(hCrHIFMWsdv);eCxU z$z*wS#B@4ak*qC<`$*+`Y5fdOM|Ue)?!a16mRHy`1?HUO(CGqGbc0-0bR3c>;HjX) z$dY(}aU_`r8-_?d@N{Yxw|bk-6?bsj@R^yt7-!PO`*)^mJViKLZ{{+K>JHxnKLiLK z;#`ml{HthO8Yov~Ka zIH50Dyw9hqI(!mez&e+zJ3v3LVyTrB0Fe|KNi$ZT@XaN%JZ>;o+3PV z=KVrQgP7#~GCUt+8m7tRfsd27(Y58QNLDly%eFg6NyFKVO~`$tPz^!0l1nh{wWc-c zuks==U-DXqCr+PJP7<2*N7N-)wy-IMoTl0lVv&Tf$TI*3_LI%Uy1*Vd)YOoiy+s~0 zDKvIetF&}D+_n@2Pg=X^r9|~y#Vpo1#l2!2r})zZJG=0yHlV+sI#4FTbSEkl8!b}F z_Tf&FmG8@)oaqnwIMtxKG1R38Wu$H3=Ic}0w(vi=+dj4!r$CZbJ68p+Bz2&R4-cMB zU;ZO|MThmN;alT1NmQ9_4FeZ23SFS z$*y=jKcv6j`f$#k3x+w<&jdv_+nl_3c$$D0pzrfWZ}M`q%IT`cg%DsJVic9FA>hW3 zQ^OGWkzg2er@7yfIy+ny5*p{X(inph8AN{uQ zO&0mSA_k@7m5BKfK=IwCO2h`vBlgwMDr-lZ5M1#v$Q8WkCbrd;J3)=$_xzX*uO~Cg zzB3^dm>X`8uJfu`;*Aj_*|Ychp4n}tDGG(gQy!I#!DyZ8ZN7CcB`}=2?68@S*UN~$ zf`LV``>Xi*TXOKTD`}f&%M^T8ctqpyeNBV2Z+kU}6u%$H3^<&ccezE6q@t}ripR+5 z%O5AF==-OfT2qdXKh=^{>k_$)7xp#!6DZ%+pt~3H0whs6_0MK(RMCpwUKlYWOkSM7 zT50Ocp6A-}b5*(PfjW);EWsZz42+B?`-=_nCxXavv^|kY?<&q!J-264byMf&Eh;`g*#TLwl9Mxl4jtYS^I_l6CRUP6+jBOWVV-hXDzN7(-0)T=A9Lb3>5$ z95+pj_ncF4OIIq66`6cqVyK?OdDl@!6K^|=#{K)#($1`Qoxk{2yYr)tV~TT^V6l%e zrr0AzMn;CYr6mpt$=b@K4Z&P1&ddi=cYadw_wQ}YvuN+#1e5bBocqpxsJ#&;dRj{HFKzco#3dn>YPUUGRGh zRkcV|rH0r~*TLI#rjgWLv#y>BX>wkT1_3uo_(j=5VSRh9?SAF((kopQOpTF}qP~UI z&_sZLm8%TO2pm2ifY03om(7Z*4`Gqu_l+}mQ+9Wtf@BU>6GOcGo@s)m5%Zn#<%+x= z@%c%(EzzJd%HD|a;8Z5CoZRZY!cIq|keX4J+fk*IKN@<@^k2}+0KKa6%!RBZ+P(!xN0hafqc7HDxHv%~AIyD`7LYdor=F3uAN%iEQ-jeyz?i zYW}&@Y`*(fkM2)N-NYxjZ{8=X<-(AhOvm3Nz~#ql(wXd>?0lp}1bHAjBSb6RMD?c{ zx+@{j92zgU6K>3>r@e3i>Mg=hnoo9}&)M!Zt+;sl0!OKIfJ8W)zbLWK$@5*0*?6Sr zzoTD!Zx@9?0C>P5D1$92}Q>xqt*8-lV;7_s32l^;l-- zR~eKN_jX~CAQVX}EOJn2{gj1(uIRdy zFbI!GtH*EDb>qisuDbHRaD1!r7py*e$%M3x#o3(M_(1X_;h#=S5Oi2Xcmh}yf)GZ6 zXEuJh!0%K<*9>s5>`HoQIb3HTsndSMHLW_n^tDVr???VRUZC>h>pnxVr}LT}#^Hj7 z^IB$e>B9QFog)jdFYw-B`-+m_hmr1!`m=D~CjzwXt1{ahqwYLP?F{R--pZ4HFXOXx z6$cQ78x1rOQ{iMjLDDv7USsO|lEQLa^re9}ZpA-PvSjc*m8@9GkydyLK3Sb*@g)SE zTQWpkF0$6_OBg1P)Mb?yztbY(QduXR|6v+K#{#fa`+>bBOA$r*{8+oq3yF-$`EEKDY4WBdpVK|XXWgeSha=)JNrQ6 zO(BgMVuiX)k0CI(@Do>;$UQ4B0LiERn*rZSA1<7e(4RX+gu9eY$)>JaEZmVQR&Wr0 zu3)vpav!rDxAUn`xJ?~zbI=2y!_flRU^w*cP0^K1Ompbej<5bsj?%<~q*+DoD4bKO zrsVAb1vj)_V&V|>D2z}~pgPt!*aoGbmRa+=yot0q>O1KjM?t~s!?zD7B*d}9m$;pm z7#bMJ;I^>B`Y1(j3kO6M<$miDlkG)!Qa~)Ze*lRkAiTrm>ekPm@ ztw{4D^F^S87(o1V5`M=XTa;s`1KTcs`=qz|`gU7S^;D>Irxp!4-pok``x&MGm!{6n zChVT->9f_}VLeX-G@&9CBeDt0)!*|)OKAQ3M>nZYXDRlRHK z&M`u1Yv5_&b--I%ZGHb51F{3{|K8#vVZzdV9Z@0dlWy_!QsO2=NR%}22gNEt4D5!c zs$l%OLz)#3j%p!K#oBdnY1KKtVT)*$Js0Tw--O;mv%~DNb&R*Rb7uTN&max&t*hNB zbp3|QPluKcr)Nb7ZZ{)&0R&vkKxxzO@YFbZ_W-23xc-7Ca@X&lGEm@FyD>o&S#1Ah znb`pi0oV~`3Z+XT$3>A+58Hov-#Q$4*AzbrwR;E1ARt{W8t`M|;wb%EkgQpdOprMU zegt&59L0*Qr0+<0I0D2cthU%;KxNKL$v>=o$@5;YrG7!D>8Vk}JavEXNywGs zsDDj;Ihg&CMI|Lwd~&G9^^^ZLD?fZS&nT|S7^9w}b3WE4GLhhW9{dv7*&V7v5A|k- zvuN3pva}LWDcZhkOsb@%j7J$02lh-;GC-Q$v%GcR-sK>>UYO@l8ISKtaJqHxFycmS zANqNmPZ60h$#xfFlp!zSb{Wa*P1|lvl4qLX59e(}seMnf@EkkIHsPSo1ri2VQYxi$ z37`GJP~BC-s8Y4q;#7we-x;**JZu6iCnsOdjr&IiE8O=f-LSQp8Rew6yjqc@0BW0^ zpX6gQcMIz^yR5dNY~Uz%T-1N%k1th?1BhW?wU0olfI{sSC*xtT)uO(<1DPtT!OwCX zzPxhEmEDMs_&1Z(m^h}Qo_rFY-~*wSuOc7G9q$v>ho&0-7Y7?y?*)l z1iamLmlBgqk-7jeUceSQRd(B#*h8vCfMo2ja`xeu6!Y&ohg}k88Obx%lMdw%Ud!LK zVbWvdk2i{XZcZ*bH&cdT{Sw_1NFt&ThWc8Sp%^%+G`IblWmU3d_dD-Hn4=F|AFxkL z9!-UM$m2S=12ookP|)$mO9@@I-oKY?teaMdA1M5?Ig@vOPe=@%y$!q$G+Z=;A^0+$ zSaQpWgV^W`+Nn)0${p1;t-AUShHZEEx$Q$WNf)Os9ZB8@*x%khBFO8ca%q3MrpMK|utIrAO&Rv0mQ6;sg{~m|&jaRM3s#hb3 zYb>LyTPd#mkV#H|{Wjf}>s#_Y>P=mWo!m$LR+Ti2Nc zRgI_1&0NyAS7qtgy-StWH=Sg0S&@+gRsqIHoa}QvwT!3*J~TLg!hw2flhJ*j<+ zB|#eAQE+j(M90Z(*K2OslEbw@!%9j_qPzpE`LBTKO6Eh)_AUDAE_jV^&LHBnLG+_y zIH$fMZAgw;iUt~*60V!n5J`(}*_D9T&5TeEvCk)%3|en(a|A8sNMaLBVPA!)r>Ags z4kg^?yn3n!EOzi?I6qr=Vzf_Vj@;F>GKtG$>93s`p0|wJL=r?qzz3ys?AW+S#th@& z`O6#{3OS8dobEBOf32M3v;iWi1Z%lYnRB~!4wYuI9i=Y~YqeVV?1X*V9gN;V}5eP;< z2Vrt%54ESV#pCwWmZ$Quh$*s~b-h@x6tX7O<%4k=ZCEWQ_o`cVxsPFt#=U#(&g(*eqY)v2J87qvD63O$8WS3%19T_2=2NfF^&+Gl>YgeF-J&<%N z#|-hp{i- zM8~Ibvzy8G*xncn>X8RZW%tK=_eCJ2>FtqMS6+J?2n7D3l-@}mSoXQnUL`Tta5_xq z27ToPQer2ed|T@x>ttev_*_z-m8=hI(Slq^07EjER;KZ40lt>8lB^Q2@$#Q*OzrNv zLa2PMBCwZkCgNmR!(X8;U)S5XCmCNnQ173dPlWVk-$nIk84KmQ?cV*onh3|GBuiai zLb^b3TuH!Dt$mq-t@(D&Ol_MkXDq3-P(3MC%VsU}CE*YUoH^PH%dDpwANi56v^E zO3|XyM}Gf`Jnsr;8I6e{?i(p-s@7<0TN2<)IUmk@xhGUIw!cN_qR%$|Vk)Gmb3pE^ zqCDUem)}5tJDScrINoyl`bwQ_G zB5(j4K4p1VOXde`jzjfih3m)3$o6Bj*(tu?PN9iJwi~A$6^aMN$NP;Jue3vbJ2Nhl z>roJ=^cuuU=0i->sm!56{H4XF3F>Lt2|4!UzTqf+c61#R>U;Z@=7la#?)9@zLI;V$ z5In-oy*t0jU6KrgJkERTy{_e}6M#(_YSSaYPz|;8?3}5>F8`Grt&#p4{GC~Mv^iU;Qjyi=~7%7+Sjmp+UN5b!mf+&r8wFufy9!-AlsgV_1uD^UD+GVUJEH$1+ zU(+J<`;ItAMP#i$562KmSz20J@$Y5*sIkN(KkAk#9dA!9kKm010WWA-?XBsXEBy7_ zhSFq^7%R&6D=UNHe9v8CDH)R^3(qovyj{`y(BJh_P>_>nI_}-q{$=DqP2@ ze7x0+6u;@uY4%sR%lhi6N?25Qx)g@bYKjzEGJ^XIUGoqWq#A6Z_Sf?>6z8NdGR-E2SP5%dHjAOheKf5*X- zH~r=pxS93biP2uIIG6smDU3Hi|C@K5;k!k~TcR4|E{d6um|*(vt4>F~g)ptVJ6dG? z9un>_Ckv%>(UBcV)8(}m5i2T$54BFag^4v~n(N_diio!Z%eL0J{}(08asx^6(IfA7 z9Xd9uWYyfZXk)##aGPm7WquAcI6L|W)M*Q7P7k|r!k*Xe_15DwS|xt`p#9A`Fd+55 z7^7VanurfKbt%LS&+=?pWMY{`Z(lW#q~mz{h<0_fp;`uTBFUQhOT&F&)o&W%T627~ zX+IiMX>fiQ3+VLubQgdl0ApV#nLZd^usMe(*O38a3e0dp;6^Hb5(Ur3%n7#(Y zaR~|HHiJHK#@n<3wz|lh!0*gml#?SZuRa)G2QRDXN`n)ehwhY2FW_SW>?P=36j#U!|o9XA7sn9f1XCMo9lrq0qLfBzavLJPSz=ov;eatu1s$0nF)fnt3ibim^ko=;v|@1FhHo-JDlIps3-{ z<7-m{N~;$;8p|n|Q4U#YfOAzoC(7Gd*h&kWyk7*x^zD)mlO3Fu2sGZ(=Nru)x zkY@+2be9YBdym`7*Hm|;SAUG-prOh+8)N#%%inM6dp*ZVz}ck*oW47w&)E9_c310} zpDYrJ*e3g{?|Y2Q$T_>r$|RqNtt^k$97jCVQ3-{oElO#a+%PNpWQ2Mqt~zW1%3XbC zRd>GhqS3(Ir{sg1uHL=B9B4_bcK2KlhKW&@!(9$>`1eN+G<% z9^7WPr1#b6U;Caw0z<8Y@NvMW%)dieETx~YEc0(9q zqn|=?9dzo`*x%BAj_=s$B5qfBsvGDGlau?@C+RJ{LP-b>D|emX9=bI>cuo|QcG3a# zNY87Ft2EeVNtYA0`=v9dIse^rHCQ-{y_iayOp#_!l#~mfeE#v!_f^ z$h}kU)lph%t%KHupa!w+&Z*H(#Y6q&CI{mL8|B0HtcvwQs}vd~ssp~2>h|c*Kogr; z*|Vxu#GZu9M5R-2I33<6d!{wn&LZPPbiC2aCmy4NQrkKIFEW2{@>iXYyM!s>2;~Ti zLiHZVSf{R^847&wZG~8%F0<=US8Ta8DUHv6kM(Sguw??*N8#_4 z;uvhsDVy?<(J7bLNl`g0A=XmJmZ7_!=NYt!WG|MrL{(pNl@IiQ1lW0yAAUALnV!fT z0vS0T%DEuqd63l8q3ykm51Xh7dmz_VyooLFVvwqUw+=F6bz(>|CcuFn=uv-P z#f{SN5I12ZG(L^RY0O%EUbFp$+V#Km8&gljllHyjs zdLalPqPMfWOf{C)O&CyraUQ0y8;qS_ZGXxV|I%yEkbEPXIm)(V*a28H24*0L0&>f@Ng)s|I5!wrINWE54&1Up$wr zD4_pyiiJ}nM*W>+T@=mL@yN&5q7FC#Ud*rs-erxH<89-!x~TDjr-}EBqDb@4u5L6s zv|T@ZHDz{&Zj

    <$wb{q1v|p^nd!M1kr!~6BqYgO(R}L#Q$O7pG4g(jTMLX}Xq&FjSs8igX0>YvxpH_BJl zcEfBMd1br&j-^y@i?dFVgezi<4du>@AvQgZpX0mX^#Y#aLn!D!{t??nV*s_ZB)-Yv zG2hfXTfZI6y3H9Y&r*J)_DLYb@71aYn46hkATcRKe#9`*&Het?WJBh3z6x+wA0Lez zg*fkfrDB)!hf~Cl6>=*WXO4^A-{xOa+s<5*EDwV=X;;sv60H6R=#~3k(Gr^ z$Np^AYG~w1D@-U!g4ZaO;Yg&7lF%b4bkU7h1exB9vXk@HYExdhB)IF8$y|Bg);dqw?3zLo=2O8RNw>tLG?WJ{n zF*#|*N&bo~E9T7gK+BxPJF-mBQ!B{J{Dwp%=ZTLw+9N+Z0m~#&gY8r>d1BYh&mdhf zY<%S(FReUPNgmDo?Ep{k2m4+sMVz!dTTurQUZ!x+-|$CAkf{%OhibLX&-RsjTIeKb zP5Z}p(!;Ym^;^5=rCJg~{CZuZ%IrAZ=7hD1`V;@6<``VLm!IDrb&U^Q5AY^MqN4O! zs?{=Z?IF@!?Wj6Z)195+o%`QzMiYs15tVBUT56!w>DB1s0kT9huBcyXt&CtjH{XdL zUbmG2FDpp;fv1WSug+%bnVtPRhl%7}{YTN=f2yX!sz}T&$PO~LrmPmmHmnXrk+T({ zmOjT-KE06KHol_W_DKhrm@uQ9O@do(>ZkM~KAP5Q+j0cbD!rcHvzJTTGEAI|SRr|Q zXnD~)dreVu4JA8x5`feAZ9T-HOgHT78)jyjL`Vi2NdfYE(pM8{jD47QUf@^pz$|O-%~9KFe_7vHLOYl=-60 zZs+4KzX|vUSAk+TRi*7^IS^Bn-vOlIw7O=6_<|8PMbqW~tjSl1h9V&vj&$1W!8rAl zFRjCuFXBgHYN*gJO@PL0pTk8PAh$XHL;?5~=XR*ZHwyHavyK^e9o`#0%)8*q`JJC+{m&ZcXFAux58A*hzM-x@bOd^_tS>C5Q z%?DU*CR{$&IG7uJ8J8SjfCKoQz2C|jyTj%l9GKi&0UD}xJ#f@#dneaL>o|SSX2}~KmVOhCF|GUuRk0%JG}kCzGTg@Va|sGD`qY8Vzp9L z2Q%yT41zQNQE`ZfZ+`GMA{)O2R3*Yg7o@%n(OiZ6Od=wi<4V~oV-Vr9M~z1Z1)F3l zON>>Xigf#nf-lzM)R$_QnLIH_M{x`2Of>K|*K1Q;WjmWIzB5Y&PL?YOyxRZRy}7~v zN*k#Y5}r4Llk`H%%}bksB&NMQCMxhpu;z;eulvOF%ggr#;mpM}hq1A}7g@1GBTW72 z7Fa8~+218CQQ&uo=)Zp(%A*XRCaatCO+UkcLwrO`IpfoN`)*;5kcSXi50z3+23{C> zpsq3w_7r-y7}EWURqlTzRt+r!8D(X3r|wt2ySq)i)v~fC4M(gg*2c{G1s*VQ<$=gj zgCQJ>CdA3zG(|(K^H##J+qy~hQb_H_SFFVc*6CtJp>jCZl5pNZT2ux3RXH%wj{KK&SK_aTJ)9lO5%SqbR#HTdZlb|<-x(Nrf zzi^AH4P~eWK%Xbk#mprwhrFSkTOHE#TWiSMo`zLL;anExQZusQw*QMt+K{-R5qi)D zphdGV4+Ou$s+0o^U-%dJ>+2FaB8JlOjK@a<)ncR?DB*JmT5Orl5zXKd?*1bNy-s&tH*;k?v5X?h6zad#aXZD=W_jQc<#HQa)WA^Aok_qDi!y?)1W@HF_y0njfmPMvy$C4Of+D z6Z3`oZ3jn+2p_fuJ-Ao{#HKgL*Iu|+^s|=c_a3>x991x<{aKk23*Hee`GHKSLuXPq zq2fL0HX%>9MQgRZ%!KRWLYb}n8%he_c|0^|2W%-PEDs3O>3(RfA~TJV*^4Ci=Nr5{ zbz2y5ogXwalwBiY>j1sH7Z)H`nd3wm>CmtUZ>bpba1P1xhnj*BjG=y8jyU@xu%nL2 zt-lZ&7=!G%y{)H;10wby4*Dx{lC}ye8Qqph{O{MSn-GzZC!>q~YH*e1p{fyedx<|e z7aT%$IEfh{-I9@L)MjVCE;JRcmbY;Ax4KDN=wGO`xTtO64Sr}!{9nR(E)vPeqoiB1Tgx%_n(zc{9D=}sVK3~@i?)wjf@os+m(j8i!n zFU3f;D|DqFvUEj~n9wukdqG)U7UdHk5um2#=g$DrQqfM*0N-z4TSLs>a1Q;qgfS~d zxU?|IMi!)yp7omx+fpAE9fm8j6B3VRmqA7o;czQTfcfgd+R>2bTJzI@Zdh8DkuTt5 zWQ>EfOUQdy-@z>CL&Myk9ao$6`%_QvlVW}@59c+-P}mrv#fVtF?i=CfRc1EeuW;!& zEyI?Ou;}J`^Cyff6-?@ghl98^x*7fxFAr-!Klnh%9E(01rb=hbg=dC|8jdF*r z4W1I*8#a1pRTCWOhVK_-Tw{C%AR#(B%@xV_nKuZ_IcJ6IFxnhpk%XbYU=+=q@JRbe z%j(|mWwk-i#^D+UrajXRjen|I0S>fUECFQ0C>haFG@J}fIab5d+e6b^5AB~OCVd7b1k;FpWh%; z3SxTAYkKuFs$EeU8jlZi^@ORb_ku0`g0v!!<(P2KNcu_Ta@TD;99nE7 zy&zZALshO!=WvMP+^>eUwY!sUm-HF(^8By*>YjgL4xQ};ls7<8TP1n8j2Vw-@`y9^ zd_d0ti0B(nAaA>C9F;td%MPW8%Q;>VIyubesaaH>0u!srp)wQnrR2*uF~cV>(f6l8 zR)>IYMt?IR&fokX&m&UsYsPQWy4&b%=pujv-G}snB2jGw;nOmg zLmYITHhY%+#_Pkk89oY(4n7+Gt>S2Px+H=+T zPnt04hRh;za=fVFnH8;X!G((G7N8CUcUl_K%m}R}tA^9fHxaK{ZF~H!jSSj;5Z7CI z7<0@1)6&xl{kU^>3nT5}G>MeB z|7OoJk#zO`-+||!SWEdSG17p;7D-mkp}~i|-$iANBTwa6xmvgaHO+&w|A_ejqcW*9 zMTPf!CpPL&<57(xz?dRCYk*VW1c$P%{wCmZ%pb|+l$d?PM>*Q=Q?gcLrkb^e28+U) z0@F!&FTbzr$QUyv*Zfo$^)Pb6^oJmtURo$C>f!_E1TKG%%@BNj$^#YhqhB5}@~@`nUbl}&ew;041p(ZXpExqmw^dg$s-6|f)Osnby_mbC7=B?DnowsKg+ zzGg0yixCo|Z({gSy_KCwLMt8KSn41lXdv zD=uRGA=+wvToi7Yqkj5x0N<|Z;?|{9xU{bwOt^N1euhYol?%`3gfiE_=TfKGT1Nid zk4Dez(U_z?tVHt}#Ek$^k!&$nB^svbkO!|0tlVCe=9}Vv;Gap?hlA1hbOR@{obK96<42_+Xu!iZgwD+a>lf z#X&QL63&;?ZM#(K6ZVvZmb{KZr+_ZeuRSCYH`n}S&M!bj(PU} z=xPzA7P)#rV1XRHD%-VWv0d4Z@Ll(+hH*R;<`F(+p+e{5QX(+~8hTgO{hm!^Q`N8~Keo4^y*|GKDR&3`Z89k#w zV&QgN^;tF!{`7iuzyK&>v8KyhJc@>!){#TS;Ap(y9h8njXMxqfry?qK@l?(K%znrWi<(Z1_g#~k z_f0N{f=&@gvaw-=`b_mzfh!g_r^wz}2;VDR?$Ud; z4*hVRx0lJZF8DH!%_I{C2w!JUF}k@kDAOt|%oFsp`FYU7U%jOQd~(i`o#A=?{bq<) zZ<2tD|6Ny&<}F}OgOst<_$dw!n$qc9PUaL0xUZ+me=X?F08ej2hdkfzpj5cQ%REC$`(rxFnCyovISH3mGJ%lj02vWrt>lTU&Q zw9hX=yo3Em;L)Jl3{rl23L0(Mj0{~->FQa{XV|v+<4-p;Q((iXzjPVKqzKtrwW(O~ zPaj-+*qL>6+Ys6ODC82O8k~cjx6Zxb`Nmvb2#o0z9H|=!?e&k0Ml;iXhtKZ|c4;Z| zi*WiB1~w1^uJ^f~;V*zU?eL=|!7XxPx^dyA?do%xOcR)q(R-07xJ0?f8?xg(%FsdtOH?0k$XxovIonngA^MGC84X!(AQ$Ma z=rTYwFOZyu47ybV>@_J}zmlwFHg6*`9R#KR>s8GDMGx8PZU?eA0bu$`z7rSYA<+-t z%<$rRz3o*y`|yymVd86iNu>d_+i(%k4F2U8LtWY8pr)X9IUkgIn%ok*NzE4eIj>;Z zFPkTBUC>4k){s|AjCxr#2psisGuZ` ztffk*B&j5@J&6Mu#$CEe>JE%@OmA5y#*Yq;8K@?234T20z}cl*_AMz{n18_~3YWKO zUG|m~aEFdO@-uBi(ZGuCAZ8@&&XqQ#umh>C{FVW;+EA`_?kCk~3wrE$(zmDKc_R4I zw{c0)+*<5mc@GT_TVhpqy`L5G!*JO)b#HQPJ5VBY9N|z@g_L!8@BG`V*M9!hEi%U8 zjl;{UA^S-Fbx8EEnHpYPjy8Ag%4Rz2^BceZPk}3E#@IP+(EyzJ3=9+Qdj;~7f z0e9J6GsPrCSWH4r-~k#wq$VZpJ=}HqzvLXGA{)&99uc^O`50YU*VnS#8c@#jm`3#R7fm=Q$xF8rz$rzq&nD ze7tX$gqEADh(Y1~CyoJSMo+XF$y!UeWPp|nQ)z3gW>xa@hvk}|of-Zc0*7qtF|u=< zXt?dlgZWG}p%FlkQCv|Y#P|F6jPhzZOfPW>w)u?d^TIw?2w8#H}>u5~0 zG~P=uy+VGS*+LMzvHL1dS%jSvat%dBkCr!ZWoNlXk_oh&Xxb}2wCCgGtulz{4#pg9 zQql3GD@GJ0=;=oG@7c^Iaee}m&LNFD0l_>;o!2h_Ai=W_rOc=Fma7sXGzBAq3l{oUN2UZ>H z!%5xCPYn%?TH6IC$F@=aPN4+BABP-Jh6{{>g2IRUf1wwpe-E~M-O1~lcNu^*)O*T5 z0_{hjISQ$%>Y!SFg~WOaU-;TLSwzxr9WGb;P51=QqWHG8*X#S`=_~A$N6XckmHSDZ zzPb}8u$y?E5zUsS>N{&NYWYTPc+7x~;)RC{EzQx%S{i)a|BDO2-l3XZZh<-Ls790o z9N|ZD<=B{va^{_9`feV1NkPJ=TvXAvdDIrgVnS@pH?MQMH1LKp>j!z^e#zq$u8slM zDgKH?HCf)4u6-+y#(w$f9&~x>92Fg{dXj}i?w5c>ev2_3L-ga{pMcOR*1z}zvT0j` zKgUe(zmrn0;wwcKq;6RR%zjUA?mO77Uh6j3c$3&{d(^}e*ZDDfzbJk#y9&_?^0xhJ z&UJkwpsTlL%BF;xrS~^jS*^wLauiqjuwpZ2?i^Hhack}8TZk1+xpVla%TiC7G|Qo6 zdukvc`UV&5n69mXAd~1U#GAXBKAC?#f1cKKKA9E1Uq}c{S~c|3feMBT*8b%0ALWyq zA{*D+V>Rd|Y2j84Nv&jjB3WH?QjE#|WmTigQYP>WZ&S+Qjl~XS5v}3&k2kWAFEx1_ z!{9c~=n9T5E8y14m*sOmu@@Emi>=}O*B2KXfbF`YYc#XoK3$eT;VdDIqyygtspxJY z7<~FFI|GLnGvBr@r#oIDRZ5u+KxqhPzA`n8-(OUr94iviUy>d&{Ue zx@cRJ;1C>wYtY~hK?6a8hd?92fEJ~zZIZP;mYpweERZbysqf!CFMF*#y7y|9DLgwrjpf!t3S5l zF)kdO&x<1DJZ<~n$ei88fQ+u`kMd(QJsJNz!8rAFwPm^lbi=nBsF#Iq8kK}cSW*1- z>heA(6X-$;!M7rstsxtZBJ0UJqP&MrGKY;=boXD)uC0;^Wy=_-a?iV*ibt#}Uup;U zc3qPTr>^C3AFPkdC3Cr0)Km`UMd-nEg^xMim}h;8==O1T5fF^Noqrh_Y772KlPW%{ z($>b9cm0=!;g6C=wU4?Ta~%VxI^ADmiAre1{!S^g0U;foNk?i4CAT9w-LEEX){4el zPpzPA?}x!NUNMGU)UVjNWnr2@y=zKqU152_v9ZeR9O&`9%8{LG8wr9x8Z$^;w(#G{i({9y6v z&Zy^i3Z3M+U%xlMDeBj0W0jrB2Ht9pzM8cE@xq&k8zZ-H0I?)l2aoSvtZ%Q-epf% zud7f23UMz{@aye!Ls`?KH?bgTYoj}lgY#+EH*Q0_BY{GF@jy@P_6`-tZrrzE(`R49 z{{X4QX#tu!_JPW+e+s^S(?#|4W$Ck~792;A`c;L?OeO~_6V%`%oVY6)92eN(xcXx& zPKWu$Ncg@<@gZ`*E1)G9mxRsR8eO>!scL)M=o?Vj92+w^U1_3i@DL&=#gL{Q$MZhG z>3W~K&`bg$gM^pLe~P0GWuF~VIC<8}dU7~=_!S%*ZWAB&q8^2!cOoMuX|h&fB-DJW z<<9IN`b~LnSJvL$Y1-(flbZ0m`5*)JC;b(JFh>3T9SW@w0!=8Ud#|4k(~3#K1g@*p zcdZp`w&ggb^^2d^$4h=v90Y6SEh78PomaOb@7=cEXa|C`XJdtnG|oGtTX|nOmYi{c zZY~Aj*?W2<-cwV5U}iQtU+<)CShnPi?V(aVsPwO(UfTU}>U#npGv_A`W*a|NVrG3w znDuEt_zJ!MsncNTYI{ihCzYs7*pbPv`?ntJl1cDQ=sd9>zmEREjX?N5RE$dgXP+i3Ju?t9Rc4=X_{Oe;BhrSw)M=BUZs zA!L4QKj71$@UPyU9xPnk?g%2TLk|XVWS|j{G&=lCIC^RB?;%c~eZi!D4~#t{Z;VJw zj5PlDej=hvCjB4{w^iYGewxl)|3B*(*ZWibsze(e4~AluV-cDJXvpPNO=WUa7|Q!T_KG39dLwDGcp3z~;e0=pbl(`D?*a ztI_~KeQ9JiA9z>q4BM+EzFP(SQ4{Fp{&OkdLUXfQZY7$iWe@+AR!_vRNo!aFw$hq1 zJ#mEQNu5m2hV_M@t*e_x?;U#ka(EWCML~2aVGoU@_#ggS6nqHL9sxrUyO@8j%M#-ZpfbGq{*2e~`2$!wmNtKL zHzDXOIp3G`hr3Y;rKaaQ$z%M#H1S{OhKxwRy|~rDXQm?+qib?o<4z|-H5}>Wp_^J^ z+?^-a_TyI$sTW<^bfOn}r#|N7=6fZ@7aD>7(qkZZA9pF;f?Ga3ork|D%_|2tW_38v zL&O<~xE(MChK3wyaGFU6(?yul(d6Z4R4C{j8!PfjSqo<_KNb!5Nymo`X8(Mi1t%#e zyLk@~k_I94#weqq2>qC6t_zLY@%4uDdnuSOs^uQQV?zCA_mgni<92;+P56GeaWX)T zu?DdQ!@f5{45dtRwXeGzf2pUxX48es)$NcUawP;};gOXmkJ&yN1(8~Y`wW78N=|e2 z$RS7ml?EZ^cVph~8e1EAGRcq>Id1-7x*D!U8||v9U5GXggsh_r^Q=;G3fUUR2kq|a zMRyxqWq(*A#qV3;4jCX+uB^^6XTNd>m`Ey)0B5kua*^}>`}gN+bDe6)A3YotYabjL zVW`uc3N0LOpayeUA~@Gz*wNuB+&|ih3)NE=mO@S$eD#(_N>T!D*3oQ_SaPa&inv_!fr|S(CsN> z?iZYS$CEGP_@e_ZEeESLA3rbs6;Gn+qjTDpG^S;Rr3p(wNdwB*jSd!FWomjJ2{mY6 zx&N4Xn#lZO$-+)5s_*#^oR?i8Yhgbyn03h@_P z{f5;V1EZtHOLgWq!pu4NW3epMOPH>LH_~g0&#}w%-W|Y4IiRWhnw0OVjeIF3 z55K&s`2sz_>EnGW^aDVhhg}Q`8f9Q@HcFveWTn@~mz#)M$H5`e4E)j@uzB$uho-mG zCOv=eK2P3}-1j=th`lg-3BjbrEsGO(HxYU3y{2H|{DvhjFD6`931pO&!B48y`4Ck!4kt;FG^ZU2VPFsFC$a@?GK2Var_N>(ytg zWwro?hT5MWQ_s)cx!;&~?9+%W-*fsrtb1p9ZYi4Bct$~9jxd<#5U+If81g!w)I&o< zJCAPSl9T%ZBBdh_esPwEGhe4NVGpciWr0$=1Kqg{;f~LuqsC^Q(o%d!5(Ypr^CeHq zaXpY_7;cTA@O#Qap~b|!vwPc<+X?C`FN3iOWiQ34qQaJ~8vdD5N>>|Xte;&WBP~cl zIff>5FF10ySF&^xb~NVqO2kof{+PzQRQ06F9eG9aAafiGr?30hRVOKxI4?QZ^7xjJ zVXX$e@fZv+*d-p32HT|ea;6BfH49rwjj_LO@#4Drs{$xhi{e*oc!F_P^OAjRXxo!N zama;ZAbkMqr_l`tE5>J@(a_~S)Y6qo?nDyUZ1hJy-dnqIT1O}A!wK52E|5z|1@v9& zYlf9fSQPu9aOP~7v%g{H;YlrQ(e+WH?yf29RV+o>nNJh3^EjB)Pd9f!%j(yeun$A?;hFRMYxblOLCez_~hmBWpv=Tf;^f^3*F=b zcAu!X21Omc#u@$&-+krbRBUyoV9b$y?aqLV_ib;SJvtLlw*(h=*4?qkoX8bS$!5B# z?rbeJ#|GbdspgfP`j>bY4Uo6PYE_(1d!e3b#p!bBNUQj%mlHWX7c9L|N=+s47tm-t zo@8Oi!5?K9ILNWxNTLp*gYoPv6d|XcI|T;16)kEH@w&a3l%{wS6BF~v+1Xh*TDDOm z%{=DF39$_VFBF9Mg_$25J~pY)^f%LoDWm8yB3H$c)TY349XNWcosnFePRE~D5fkBC zclt3d2ZkiS#08k_GsMY9j7BMQXjRH%uheX@vp3cIpQXDbjE=3gJv>BiRmXmIbz6+~ ze$;XX?eI|tKM3o_(d3dj18c*d>r*)1IT`kX=eEQkGun?&k4dc#uXwte=hR5!MzApn z3kjxl(fJm`uI=+7;i$Jdq8f$mG?RY~RWK+=0{pVn?Xc)x+qQQ`d%zEB><`Yu@5&Ybx5dmHvSLK|{vA_2X&hY_i{-05q}r9~6eZmt!c|Ed8#p zimYqQENCCo9zlxB9h$eG1NX?;W}^fxF#Vy7C(z$dC5IC{W_)>?Hu~ha4euO2l%jZI zPC+1NDM9F^#Y4X{quD-01f#1{cST=(^UoQtpahXU&By$M{d|Mbmx<;=xE2wL3`P)cL7-GoACZ&g2GhIqjsH%9kz?+R z)y1O43_JMb(;Edp*|DW0O#H|)f+YLQI6His7`RdA*{<~fwK7rf6}FHhr?mr``4c*U z0ohN!{oT0VqrN%k>%-nuobZ=Qb<>dr8gie_?`q6zy(E>M(dH?xZ33m0sK@Ht4o=IRUa+lJGP2k%wJM~*npYx$;i1n{+s z&b+G$^tRP~&nZ8182xUgApO>kPB=K>bCI2goT=}>1LM9|AgFDDb^U7ByNyWw7pJmy zL!Wwhz1`V0({r4Wb5X{2+pSt`oaYpqxzX&9@RyE58<))w4m!!xZ(Z-7^BhvHR&Bn* zG8>|bOWu%oOifMwi~9Pb$gU4}ATQ!|s!g8PW;1@|k>A;Cr)^JlZ#f>o-%CXG_eO?`Zm5c}2BxuLF$*+D`(A{$^11&UB&uqOd#KvpfB8k^H|Z?+ zoL2t{04pA+^{gc5c-Qhs#t|+SvhWsMSN1eL!J2s9^GMg!*t-3V!!(p(9HsQMSf%^U z^Rs8MH5azimskOR(lOIBI%<1Z^MhN4^px96=?>cILKvNL=UZ%_HVz`C)OCMl$CxGf zXz8s*O~{5L63Q6eF@H*sE)|d7G`eDeDc2#GFBWZowh7^t&x>DY={|{@YYd6a^Vrz} zPe52AK@*xT>ht#1%jTW6`g&@`a`{C!<_8A%^~IXu9pmNQZZyJU$glzyW63SdT)U5t z$n&*IO-)S-k3|yX8905-gd=2&$9ci{ix)#R2Pxw zrnv*Fn6qm}^fJMQl&0l}3`z{XStum@s)< z1wPoQS$6rcEO6seL>HSh5QB^PBXXEcP~x+E?*S+n4?Xz1XaOX!I2jy9H}3Jwp*TpSGI`H_e}(R?%Y)i)QrLdxtnC@d*Ue*~51rijGrR>yL+PS>x5 zKa4;cNLIOf6CT(5cU zW38}fsb~&6jJXWGI#e(HVB5r@5E5$3-Y92rtoANh`s&?d`Q7`P$~pbt9h6i#L*MSD zGHCr7M4f?>nGFT=-n9DJZei&2o!OdHJEyW*Y1hq`dy>}SqutFKqYp;!*3 z-)olTa+!}K*&>?XPbaQY%Y?v?&Gd47HWjtx)e_EDb&okqVZv(;`@l0~`Y|I1k)mH( zg=j`DhvxOCLP0HNY~$9o6Mwu^PTTW5<3QeElIWt#sUJ1WlT8j>Q3d(;2<#~A+?mN) zFQg#Qgp)tVmdC|}O=aizUTnV_RQt?hh!bq7LV;ZN90SNm7B#1|6JS9sW|$*aJDAcg z4LLME)d^`lXV?3C`)LRsGd$OJzC)xg(kcKR=nLgaE8DtJt(-LCC@rydQi4z&w)?ad zYM(RiLVr41l1t|-cc<3D3=+p}A1xaAb^q)x38a6UKu4pp;GX2zOCmLkU?)U@A-9_nI>-1!){3Ay2yCN=Il`r9vR6<>S z6ffMNTfyTOn_PPDsWzal)!#v_tZdEd(({pV*^sa^7yDC747N5q4_eW-%?1O`$3#ib zs~2L`Qa|&QV*EfzD{p4!mb>b`C)G8;kHoEkuemWc=5=QaQER_;2{zc+$okBB_@Jw^ zr!7V`=}fXQcllwvd%6CPBXlnYM1!K6>F6ZG`0S;Q@!QxDZ`||mOl3p9`5Ue;IcSn` zDF8MdX!=u(PR1o#EKsVLz&&0+K&yYbQvT=l4hE0k>B+|tCd`EKQKW`RPgiNq#C_u0 zdSEhxypO_cU+oFKwnSU)&|H_~lyA4=i9#uo$qUJqlcjO8R{XZNE9OHE^ZeLA&C2Rm zS7+(C%Aj5}oXfc4aAsSPK9L@REQo@_F{1SZZ=rs=<7q;E|4|X&>z->2l`K}+I&!;Q z`lJ0hvy~vcC==58V!CM6diP(~6Z228Dug0`X{otmy4v53NgpCdsW!3A9gF}iz!-XT9 ztzco(=1J<)2WKhqf_6>@aZ^6}P&MlVX(l5X@kHYw8ajKOTDVUbCNhDbB%ek)Vm?p9B<``{vJILc9j z;xTt9M^B>bH4LojzA|0Te_i05njr)UM?hv+#@d~`&?uEs;*9k#u7*XNi7>hI` z`VZacK7zA~9KPJ6S%htLAza^T#p%0amXuecqe%2f^<t2(f1HO5m97L!3QWKm@g%LW9hT`v_1L-O zsF95guOF1ZwIw1}Tn)EQ!!sjS#5cL<=xcI%dFXej(e&9&u_3A~HnXW(3Z@N%mGhk+ zo`OUA`IIKjRdeS9sr>UKCYc!sk(EPu zBXQ)}%Dtzqs|82PHzgn>Taz_mH06Rz&MmP3=u>9GRWzX|7~m%(>OHP2vqi?J1Fj&u z-m0OmmOp*`;9L{mo416sODnd&Y+uA{v=hRAz=OFbCj{kJw)R|dL1GB^G>Km zWxm4|-SroF;9w)Xsda(!#xaLu>8HTFkuULLPUH5fl6;*p!&2&zWX=rjKK%Md|0;R}{2 zC*-Yyi_GmV5#|*$Lk2pmey-|}A#yZp(t}0n;~mw>y$o=PAe<<{?gvn+r5^6hoyjd% zw`+cTZPq9gQy|GEHEgDL|3@0>QT^h}@Mted@q*RG^T$qHQYlC4;bv2c?cwbB`^PvZ zSDrlW3*8n;W7$_4gDyIR$SxQdLfwBF0mpdF!md32#q3&%Z*-;|b)U>q^*D4I)VFNE z)5-Cj7 zzoHZvm28n4G@FiwywNO^2UHvg92l7hKuMEm{^>|JM)nZvmB+rlV-=8ALeP_X?KxbbE~8IazgR>)bFVli?=~gi~fi5;31yE zIxP@+vz5kQzxmUI_@`5s>v`N|8;LQ-LcF$5*%h_TwUs!IW@FZ|Fye49uOaHw2SzDNLOQv* zWBt=ymW=Ta`BuYyE5c4#&mMIZbB~RW6|c6NJ#OvGENX#T)?mMuvp<>!p%YbsQ>J^y zJODv^xbpf%Le@sf`QNcZ1{w)TMECDs%eQ2ilv|&AWi#Fo3pckCS9-UlmAbp2HD)Zd z>2SUJk4gsT8sm-??j@0w!ZT}RMo5BO@9_10#2SZQP{$LBa^8J2WG_-Ojn5)?J(xL~ z)NJO~1bE)oLS#w(z8V?z*Drty>L6-?dS2h>j-S#BNw!;7fF7h~VQJW+ML4%WYei$k zQ*qLF)}~9vYYW3OunA~GF6ykfxAGl3lXv#_7^rMj2GW|=4fw6)XzS<`P)RJ-cO1aW zyl=QZ>OIb`-DUsMHnQL-yNhi?+=CN;*d*v zgmv34+z41?@vL!VDm33@MZ@A|93g%uxvR0{)?9zZ1_I%-Xz_|G!_ub#!5PHcitX^h z&z7SHO&%+(C+K5}%NfhHS=KM0CRC+aUCP)1JsZsKkNz{qBb3&6V&mP{pmn=B>B!wp zS=tf0JQ3q()WR1TN|U2}z9XZVl=9IWdHD5)iM*+kU<8&C*OYse^8E__ogL3_{F{rK z#i#b8@8ygxE4ofOhGNA`28eXX#&uRJA#5h{dyb0a9~BA84GfXrPN*}bP&kvXJF1cE zws~%`t)B19lyWApq?-XfANorvjME1S(=;s91Tt|YPDvGR@n$&bYVE|H#&k-j(E&Zd z6cu9A0ERN(?Mh1Me%lpC3$)g}W3X*Za5+6B-1t`5kzyf=H_4@%4Q8@}HS`_HT0lUo=}ZF|e7ECd5i-oi2d=GIX?%|ci7 z{M8Fnc+5MZ&wQWa_Bno&`FQTJTIN>de3keYGQI)I630b4t+ku8J#73gQ-HX*v}?d)TdZC*IaGTFiHHd*9B9Yro?pWCDlL+%sCplg-9!Rh}qKFQggE zs|Du{I0c1x84+0x^B*D9eSdPn_+qU@cRl^t7f%(b2cB7 zsuvm{ls{5QaSgCz-GiwTUE@7 zksf#_g)PMHggm_F9RgY5Em8EFFW^2qdDocvQmYZIWjN|0I5_U42Jo)x+d^FtH4l8b zgaRk%O@KQqAXsApH}3;cIjyiOT&`M+Kow7o!$jW_V6+v+P37=av(Xs^LSaxO)dNGr3b1 z%#V&_XRr5fGu&9wR)2$%cZHz4!j8w&g-Oy(GxYy<+0P}nC+?pyjxG)ArskJ#R3&%2 zgRM8`^u0nH7h-Ed7rRl;=YY z>2Dxq7ryy;v|aVx)w7G8xAhK7P|qWxB?u}x?bMDj%o^RtNAhi8gaz4sw6t=6^TM{6v}O=KEDv862QoaSiEb1R|Y!GNE3O7u>vf z#z!|~3ujU~!EwzRo5BGc=k&m$)8e(oy02W945|U6h2gl*C1i1_R0J;B`IbCVV<#i8sYuyh}lNWnw z$%GJHn2gsm9O2gk&TM@`%LT853{QeQ_l6=nRoA9R!@RDPt7O5HT1TdEzEjD0^q^bw zah)xsDdq}mmBpiQ=HVykU#*4O6NceEn*w%-0R9@}?VbGvIE|SCTEFA0LBeGMVo1*o>xyJcAXd_Pn=plF8XEb>-UZN$`*+(rH zSG;hN!1`&Xu~(0Fr2S0%E6>Bl==6~6SU4-H#dTM$aIrw0PnOYTL}iXP@6V62**L5GVFHsozpE zA8)>W;>F{zQ@$o%3p^>k{cW*hp|sRh_H>wd5YghLAsngLi1*K!3S2||&^?>&wVIfF zaQ7H1(Xc7J>}mt9G!cZ(2l}_S1upQ~POG<4NAwyKU0$8&CzYeZo4r3@-Ys+8je^)> z(_@2cJ0fXhfG7b`XF0sOAx!o@S@0jxZxmj$kY|m7)&W=@!MNT`mcNX#L2vdfSN9fD zt7b1!3ezSp>Di#Qr46KEy&8icBJMYmI_*@UR>Y$oqU}A+2wDqI-K?Y=&V7m$;tgVC zC7{20$X5S$BAJY^8%Fs1EsQwB-(NV@O2u=Q!T3j0WF3XUp{$nCBDVozIP@H$ES+O`yH*RDGo!#_?%-BnA?_O(WhB zqq$RbR7oe?f7_`NmTwx~&EELmuQ%`+mgdP`sz)krf?I+N8?=xy zYjMa;dN-=hC!X_&c)4vyCB={>bDDUmwbkaxMS~cJffj97W+1xAZceulaBRJXE2SmV z>bV#iK}o*mu}PcC4xNV@jDxvpP@0{rd=+Ni;IVRTD%E{Gs#H5)Ji^q_n_L*!BFAu-BklK*RK^*E8~g>thcarj})Ytyiv zdDYiE#gTl$7fH7z{`5236F>od9wN+6MVY*7-1`U4)5nwTVC+f2tGo~!du4_PCHVWx zV*=waw>^K#Op`?>7;NkI(dnGKo%|Y2lx;04=h5WHBQM$dfgM|w!_DafdDho(VEdh4 z-NYKb++E=q(a3jL?8{qEXA&UkhBMBOx?}-`S~*Ww{?}FTyGnhaL`uC>w^5+1zEP!7 z0{%sbm-^g4ZoAV`yzpV@zMO2Q5}&m=4)OwrLp=+PQ4gCcoRc z4N#OB_9C~PygT1^6j*rH_>d@;yJy<4B}giN2?@dLEDfn3v0QLZQ6hL6nfmKthfpd< zi`@PRaO4td`Hq027l_GK#W2Wnw^%nqyqgrW26tokMCsWef&Hb1)eKKobDS>^+cb#R zXqm_2I@5#0b~yO@{lx3PoUBOr!E6@oD}=WAbGe`WQoMAefZ<}GU&3#l4Vs?_tzTl> zF!OE#*v+fkJ;eaXO&}{mENkNs@EsFhRhIc6P`djO_$!8_O%CjR!N+ZTEWwUs@E$8ms zK(!k5w*F#U!6tWpV-cK0mVVLKmrP`Mb9*_w(= zWU1Q}4CLu&fKWTsGdx#m#MOsW-xH0H3)Mhm zmQ%#c3fGPw!LR-aAOK0S+KZm5v|A?DQHeFKP&^))4gEX6`?)xk$-SX77x85qWR!Z; z4{hzCE+LYP_3vftAP7L%FbEZuq_S4&6Vn!hwgS@`Nrc3D5fZTUy9BjTR4~yt_??IH zZkA+X^>@{*MjLtmY+rQJX_kFWX25m9p1*DDp~hjAHbBJREUO7)9^5bVVG%-Cx$g&w?pBO2b=Q075yH(toeX2Y|=1MuBYXW ziG9No7)~#;D!#HGK=a~Z>(l{LIK*j)D=`OR2uE(P+xqKu=s`%ZomE6PQSw_NyHgk5bGJ9Wbz-A$i4lEuCJ+9mlvm7Ih_Zq0tb6y!Qg@c{719m3$FU=y z=xN#D{?RZDC$ZcJqluZ>%1>|4ySye-BaP*n?<8k+Q(JmIjZ#ZUAyf{$*IpAps8und zLhWK3d1*7x;E&q?Fu&ZDol}8=hx)31UmbuW7xRBkJn zRd>3%+X?ubrGLH=F@Hvq?=neaa^ifc!=@#amV7eMVlEfE-TmqCfjo#(o4p#))Z&?- zqr$g{VZ6W(mk*~yZ&%Er)Mowf@)Yhe!EZ74a%v!bjdACHgK$0!9BjY~Y0Ja2jgm&M zmL%nm3R>d7@3w5cxkE1&Gcom}1W0#~=#Y81Ym|`ipHIB;ZB~X4Mzoh2LJU_r#sGqa z2l6z^r(D1dK_;N2>*~BN?Q#1cR;&b^1%SRAvJ5a=fOr_y|LD3=(S!=Kiy`Zq(~n=Z zW6sr>cfT>xG+7v6U2z^y>tg!_=viXrMv;s3=W&Vl>|7cUf-lv=+gCf&Kpt+U zP_G`o$cjB|RPj|Dxe(xsFVDBM{FzyC>j=M(5bxbsMOAtmuHxM+M)ssvGB$ zMfp`nznfjN#T`;WkwB?!@Xu*Oo~j#KuHOf(upuYI{rBC#;AOKpA-er%8DTBmu1RF^ zXTWvA5})yp)(#xq%?>uM{WIcf>nI%Y1&fvC-xU(*#7lq-W4b(0ownqCR|+bSG+<_X zIx%U!0p@w*l74C*fhs`fWA59}!7g;q@)$Mmap!4pWKdU5fgBCrzo!U^rwJ__^*akj z>DrNHrb7L{he}6HE(A#W8361hF!}lU6YV~)?&Qj|fW4QFr&9nd00?KROgM*K3Tvy( zDu;8->rs3UtJNsYckD74{PO%*3!oPPKPIt<-$I=sf(x$?*&ySuLPRYzl=hzlA21jH zDTxNq>@@9Vc~pRrl+_<@j?^Kai}5+emfoRmp#^gI5t>@zZk6dIpOF7kAGLME1x6iE zBmMF}@_ql$>HVLd%pWdENT8f4R7mHoHXg=LfhPshGhp7ELaEXk-cC zVGIZ3XfuR8l1OY?W35-4X9tgv#XkdV6O`~5SL31%%T^7O#mafaqI`ma>D$}e#7OMj z>@hnf1X8(qd8tBfoFu%K#TN_k8}?NHuBig}0RY^{9U#@YzuLn0{BUD5+e)VrrF*8R1>YIR6qo%bd2M72?FW0T$ zT<*UYVAt=02jm$e5UWQG%zRKp;RQ z@&2&1GUcNK9l(fW+#Q6z;(k;PbG%SZy>H>xrVF%F5%K)QYp&q(fLa3W-}qhK-GGRt z{?1S$@RJAM+ML9YiTD&y`h@cIaOg#n<@fJ*3+2eqFq5jL>uOUwa0bWd+@VvE(y;cP%~@YT9M zra>AV8~DzkV{fQNezC+VtuXOP7c?8^1?V+|0#cy>6wK)y1AgQ3J+SU`h?g2{#&<{4 z<@_c9Z2cSCCT)PZ2Y@&Vx|}jML4N*CIu7@>89y9Jjn*eBI z#{7>^FIF62bAi9b|5u>*|7XVl0!#m27eBme<}u!LZ{e{4lEyGHl8O=);y?WU56d4u AR{#J2 literal 37974 zcmdRVWl&sQ5G4sA5P}7FLU4!R9^4@WcXxNU1b5fqK7$2^!QGu81A{w*yYA$x-P#}f zWB=|>)zpKjSMR>=+qdtzr%y+GSCm3UCPapVgF}^(7XJYU_x2kc+?!~m_po2SYLb}3 zF7I4KWmJ)1A73QXaM=GJ9Hq5f;NU)D{`ap53ZICwv8kg;{M-gMjChvNBpe zw?oy!wz9HtZiwfvp&@BFRW%9V{8z&+IPdGj`E~aYj2tA%<+RmKjP$mY+z zT?z^ciYDewL?z;yDwe}j%n=yg?2r1RU70RVT~JVv&Svr++~iO_ZSU#XJbF~G4eh^6 z{6MaalmSl}Y{{B69$H<^QfD!_yKGZ!)*p$p2z7^>nVroL@cJ6?v_%#H3!LFZsy#bk z!0St2UmvUc@#05n;Zg|+iG;K?#I74C_+S;p{qF%mh@^QnHSxa?(fJy5z;2>QlV3i> zV-zSWP68uhV+ZV;O#W!XS*~>ml9Q9eT|vQVb8~a%ULE??h=yb7Z1^#ff2$29dqO_4 zWysI}`CVDH0DDVrg11+68r6E^Gcv9Ynk7D3^c zI|=|`rol!dF)@*rj?T$TNv|49wBCN^pOIfJXt<=}Nc&B{zNxVTHy-AEF)%Qwt*wQl zrKSDM&E51s8Y8K)7rehcoK&F)N+lNyg^SP3968(QJ@{Km1V=zXz(b5y>OSd_jnU&G zjSjP^d*WoC_jc{gn>Sel6XBa%IKbLVT(pc=@tp*-Qqe^2HG0B;!cOo7ViJ;^NS~+jD}0-ytI-|6Uec z`{%*@GK&CHEYWc48k0e^o71()7;eb^$@gH49;$zy`ES9I{?Ct%nB^UdR>P2iW~RThebS z|1Ik{3fK(7MiGdm{Pu6KGoHl%2X82J@qiQcti8B!?$CS^u02L{qU90|x3GTAs8^DA z_OKL1ng+NX=1oQ4*JS;q8?ojaV(^xuwbn}Lr%3%kDAvX?z5*j;AjJadND=A)srC>;kYl7x|`SKpN zAd%sJE$#12KCby~LDqxMKL3l7K8dT|$enZwliwqp@8NZ3*;g?c`;x$j&&qMiEHT3mk6-#>!n>ooS1b^MGb!9{QYgE*uGE&ugVP7b$rRl1Rm= zlFw<%)>PH2{zM<_mRtD+$OS@Cf?y_(l<FBPQqMBFBluJCDxwMDT;m_{Of2N*0qkEDFhC%fAPj zlX(pn=jl=E00^lH8_h^O7*F$f2?^#|a51hT6b#BjWqU_DA=$9(m_8D&G`xA5rbIy6`q78T)c|#9^pm&-gnk ziXC?}xnJ1d=8_i3xOKxtZ=_cdwwdAg`e>*?`kVGg?t2&JBIZ+zuPHUIQ0t#hZ<~$x z&*TpABOd%;V~P0(KDu08oStAX zBWJv0Vz#unuy$tmAIRfYRwj@;eW{CxO_--2r{ZP_3t)aiTpqo)bXCi)&n*p*9C>OV z%W?Op69QFKL`w<##a=-mmJ~oP+?Dtn_@vn5-437y_fZ{D&zf+c4UK|}2mbiPhT~ZP znZKx{qX2Rq!icZ$J#T69`e}gSjoU&izc@KFFKlO;uo?c@B#q>ir3eMOm#L|x6nBPB z=ih=|4}CMT3T?7;Ue>jK_!RN_0jd{O25hhlsF|s&mU5m~2CM(D(i2JeOzht!hzgNB z(q{8ha)Rq5pu5c4BL)FWkpqJZ%PzU})sqM~c_3vrTiccxA}$4No0X-i5Ix{Zi%OB#iJ^rU8b1z zW%DI#du%rs#%XSny+X&%_S5|fV=jWk4aXq(-=&fqO;r&QWyMtixD-#ilog`k9~0k6 z&&dMkP3l@+>h>HhwYU35|9;lTivuPcTnL)U<1e;JQPp#cH~ThH6s9ZdA#xtU3=c&o z6_sijJMbw?N6uKOj?4Pb=nwH_^Lga6T8)3NC0%z?b1bcw+BG;Pm3hsTi!ejCYg zIGf3;;ag@ky@TG}>k$fnu6#~YwejP&)H=1OThe?16VlU+M)8^n%&pIB+pFY`;hg z&=J$pB`%#^ENJEt;&l)1TU%haKAXCPumoGSXrI8TWc8^BAiH=oy9Fw z)zvRf9Skg*xROSsN%VaxT$=_jwy)8*c6Rv8-*7AC49sY}C@5xeagIFK)n#}=W9%bk zk*2YW5T(PZ3l@$dN*UaNz2y@}me_iUtu5pLdKSOO_n_94f-9tM{x5LFQnVmY+Bs|p z7ajSuw=mTD!heMJ9y`rYo^BWcLuW!#UtKJMQW8Wk} zDI{`2xn0-{j@;kh&+5$Lh86ExQ-}3SvT){fb>&g}`~@=veD1WkD&H=RY|-N(gKGVf zNR9bOu8jeUk~6qCgIl;~^x(WD_j*RDTlU@r9UoW{$$BrYMrc^}jW0Bq)^)}?R~R=6)b9@OK)0#Je> zEy?$a$Gb9=PVD_`Vbr7g%Lnp_e>hD57CU4lnO66WO-^qM3t1Ko56~}LI-b#9JZH!FnzkHy?##yNYcCX8^E8xNJr0(ml|ODQ znIg#}O`Dz&@`ZFI3#eYpE5$R{#S>vZZf$K@lV~5Ey?CtE@_%llzvu1$MA+>S7VFG< z?U=p1n3dSW6!41ps@;?}IVEYgLtsO*OyW{BlFl!LO+tm8$8( zMQ;HTH8mT-WHqE|)_=z~jF>q#j-r7YgNDQ}q3%ci-H+_GbwD5g2{rRNlO`|`Q31y0 zf8bD@V%2SaUVNuyLHZ|giuwCPVqGD_b%awgHp|bg1-fZ&Y%h|o%%KagC;mIm6llRt zbB&Y^CbKu=l^uu_Uj=@9kov~c=})!P$LHYmuMm)R%f$()m*xY58$X~RUH2PRwrCao zRqayy^~kBQDC)^^uSp(k=`6QUz0qq22MUYp|=)?>3<(Nv3j!qaV8w)y@Ro5nQ+fYF-XP!foFxoqlQsh8@vNmeF)d@Q?4p!F>%=8 zME)NIkwjmUVN+eVpidKwftLgW^x@PvR%dQ4l)7qaU#=v%#bIupFhzqoK}1!p-@b{T zX}ZJhN>%;&3|B&Cnsek=?6%WrGCzxXxZA~SEmZ|?ylBR_WLqvvlfrLNQC}jDFsfin z^M6rtSX@8X*V*}+4lN-bvNTJi^zYFJ3Isv^hU3xZ0P9nS@|4{er!*CtO%>w-N(h4eu=+ z*SrW#r=@+iqh32YEes!p2|c0vw1(ta8V3T3HbUTmXMc|fARer6@ZS0ZfjMajxw&z@ z8=t?Smc6nZi0$lrZd@xlxpRQ;0 zlXT}DTQo68zRYq}S=l-WXDz{gqAxHgANroX{&b4k3Y4#^wsT6>-j{llV#((Pj|{5J zuzlFqg0wx;`TFURb+3;AVr-U3OuiMC^ZHE@`v2pdUJYjEAhq?R_~wT&g)8NZ&D6a%hSXu+l^>FX0q zg-ugdG^C&SAbT>bq}t2j#76J@un5HK{? zq`!UM^cpp+I+NFE9-aH`n|rEC3jpAXj%s6DCK`^bi1~SgEtX6;6jNipb^=%!(M|^< zoPS}n2_1FGZA*N*H+#I0Y*@t~(fTFO==_mJ9oi4F;eUGc7+}jM3gEwBckq2Z_X4MP zdJ|ZY{5(Hdj=dm3%s!m|!QN|~m=htE>M7B*rQD=u@EstGnx21_?yRCHEKAm^- z^bFrzw+7edTnk8p^3yX|~XCKZFvk~GTx!0 z!g5z>+tb>Zip?a;pTN*56t<1zmyVCQq$E>!4~9!V$-rNHj)Rp83(bSJT$jT?$re?T z!*D}_*gmZAIAzX0<+p0r2XMzWhZCAbO7=37G3j_f^9&{-*Y=mK5lIA74Mb~|`ZDF? zvZd+xRiG{VtB2jwaZJ(XG+6YTz$mMApIX%TJ=N0DaB3${kYvM}I^L)V=U_SBknd0* zPP^nhsGTL%f3)^^{CBi-9#g~Y1a_a8iG8VFR-bnR`*v**%GxD==b_?HNfmb3Mw5d- z(o+faYEFGuCMT~mS8+|-{er(qF+CV+qR1Ot*dxzE6<%t-sA$Xaa` zWdm^SY^rB1^{mjGXvYu!JOXuKiY_|ZpD#z}370FY67uI6ni_WJvW|0?q4zq(5c%`y zpi4~>om6q}D)KP@i$q~}sm+%lr|A_Q%lg@CvX>{pM?Ueq-wiSa##csmWvOO1M**bi z1+$COZTC`T zdd$YjZKmqV$E7`9M9MGw82o_B;tg1UJZEA`3AC!H6xVxGgt${wcU&U8`faeBpely* zCBk@C?L0$WGD2$>POPJ~Grg2vv0l&9zn#u%?)ZXeOZy(08_K6|o}j6Shby7emXwT) z$89oFYiF9oxOiY>Y;1PEa;f$$<~s0qY=kwTcGkW@lks5*HvF?A4}wUCRW!{8O-55S zzT3}lG{1b&?DVr~-{Q;a-N>u2pEE<(v2i}WV~gEwCJhz*tt{g2{~{499UhwS-&?Uk z-=7=ZSaVEsdRU=B)Q0EyX*dDUz`$>$ZSL-c%gyoNk_p43tXFfJ3YN(8IVYkJD*1YR z0wG7~cCg$Ty6Lap=z{4y&WAiZgL#$0Whmtx;@@)AcKx_c$*586A=5AUCb!;$2x<|N zHo5*It#cfaP_&*aZAlM>%_<`MvRl(rIT0ffa`!gJ2E_^E1>>(cP5UHWAv_A+u)|pp zHF{PT%EKn8Aw4o$v;t9a#vB+^N+Z1P`rs{Bv~YC4CKj+W8AL+h*E7(Zg!VFT|M|7~ zGUz=OLS3mm&5dS>ir30HqkZnzc11hd$e#6mO=4!Qwqs4*ks7`U3ciKQ(~i-VCuGIY zexoQ`F-2)c1LE7!DJyVNJMCeUO5rK-t@M){{=C{#*E8 zhbt3XO=BfztK3VPTHnk}-z6tc{V9qLSm6PRL})21lOM5PP6yAg6v~{Rn@Nlqoiu9e ztmcU7>+44oL9$zbafQ>lyton#xNJ_o4)xj#K6W3bXZ{_uK9@T;#7+%XynA+S!9}Dnc>DcV7{DD04jZQF+F_aTRg+Rwdc=&47gYOYWEuJj{Be>6apqQ9e9zi$;06?wts&*qW zU$}mu(L;EGt8_(+mO1#&^9l#3?Dw2~a;sAL4l#_wYK3XIo(?O6%d7y@3oC#81Fmzh zGF6nn-o*0O85>i3EJMO!Y?=Sex+SMxpj;_<@`pThbD%<|AYP0j1BA>dEfLNKQ0^&r@&(Q#?|YlruRS6f@#3g*J@wyBU#%g?q*WYPBa z3|?o-v|F+%+ex3DLM6{zO;W=4e94v2>V;*kq$*)x@K2DmGQi{Hdt}VQb?QO+~*k3c0xz2;{0y_SSyMAWdIUz5)Dt`p3Om za&2t9kY4(S#g?4Cq^5nquPA@1*Y|Eq)Gtw9;o0EgmRw?0IB$31A@*%BWzM>cHB=$- z%x2uWZS+P0w$$r3EHyXqL_b!wHz-d6<7Q8rwwvbL>fPXX5-iX}uP21N#a3Ci4%xP{ zc9uLkt}y9dCVDjh0Ou6tQIn?m70LCke6f}5wI(`=UmBK_`Xc#o_>mW$X1lK5uH~77 z4ZL3buTSRW#X-~aujq$SF3kaBpG%^x^e!y~4m{*+ut-k?iok?0KKu+{*#6;X*Qia^ z_j8-0{zfKXx~f3CJ}@Fv7Dia*s z#H|zUt`Oz#yB^a|v|9ejE&+y7(MxPfC%(;-S2*}y zBJevq|KTBaMM2w~kWo4KK1q^OiMBvfNEi7-ugUb<8rObF(q9V!!OJW8$nS&YZ2rJ? zY95lm_O*@M+pCSAX2}TsbBi=!Li~O_h6Q$~Ia)0dsy+$IN4O7hu*ht&&KzwG6ngKk zW$=30KxlLRV9EM&+`7QZZd=yKY zgP3k}#B4Mj@pq%HXWIcU z!7W)$Cb#HSPH{rC_&A7Y;EWhtH8rXy)t_D++dtGqW_uEq$hG;ldYs)EN0U6>@A!*Ny$#?OkJEkL zU-S>$w@u}rm(DE=%#-P!7V*e;Lir zTm$=n_JF64b0pP{2BPdlllgd|Z~4XU{V{#CO(QcM%29YDZH$u<)>n&;r^!v_sj~ZPB(u-H`v!?>~X=Zy`T& z2Ea;!!6uvEllK973EXcH(*j1b^qXo0&B%ap$AhL#pH88JOcVn%?JBE@AVg~2;k8}A z!3eHDw1lXDUXlJ6Y?Mz4oZf20+Ng)Tqti;4R^QMKR81+BRxc4torQ&k+lbwdnNOUO z)AAV@B$IMQ2I0s~nr~!bbf3n;n%ji1$4Sm#+(c z_946_?TW@&Cs${$7z<>;?D?UYUqBfhMmofO!dne3t@ckL)9_Qs7esGA?2jf*Iyg4o zJVz($?Dv`CmCJj+GVLR=xP8&P+MlUY{^J^VIFyN1zTe}UeMtNlAY8fZB3agSqOd#e zwwAag8MSG%UU;kil`D_vRxx)z5C8r3!DP{DmR52AW)D!^k5`sqKgoKxGfwDNx1pog z8h@03g{=RCEC+TW`mRv+XF;NBF1Gm{ga~DUi<{ByYw4f+01M)`jVzBjc=V++oqHj# zhF1rFv#X6w?rqN}ZG~I|w>RJV^0`U+D9(6mxuSqwYRjUlyck2Qx!AYoDEAeH!Ra6) zcpCb#;73oF@txlN1>kK+r>4b+4Wm8Peu<0W))Y6{K)9bje|nvjXu*UMC%)&r zHxGBJ3*~^w+Z)rlMrb&o;P)#v7R3-(*YXbGE3O%twY~nlo&>5ZTt>VNs*d4KiKt7>ikvG!zX;nQK>!(Mu(NQ*L){pv05~V zxnyVAS*hHN#lB;_LljY^H1ct0EqR3-kk6L9W!3}U@Gm!ik~1BLkh@s&7*wov6(wlQ z9ieOJ$}{E)K5~3ad+nM2EnqB4(QMr#xPR@9%V^NucAYiMNH?fdU2I^?7&p;T`InT_ zqYeyxYICG}L@PF#qLU}&j<(m^dE(WG?hxWpCDO+0gm?9hp%hNThtcRfa^8}J68#c= zR?G3`{68f%F5~>PoOzR^6l@YLynK8v_pfiyY2#Bf29!EkN(xp)ef)?uRyi96rm+xG zs4TCl0(7H}aTG9>^sYZd80S_JOK8-k4JCRL_iD8Z$2znBy&_hPf|n@I1Z~Y0QxKY{ zoyLe*Et)zPP7fJatigB97-(G9pK>J!vJ-JzKRpc{Er$%{8Mfvw2Ur-42+dsSGY4#t zsBsVrX3B!xuZcoutQ+LBzF#s{gfOUI3}iwVpTB%2Mh+~#=TdCDAbj<@i12O*U{h69 zJzF#|plqkb$c7+wJ#6Qud-p4zq`MWuDzRSF3R!(mO6rBX*>%cgfW$fej#QAi92JaB z?wYPIYy&;`Ig5VmGUx{Vh&qVE3RXhxVVL`e&QcTN49WWIg_-iWJe) zfF~TS5+v6L_Th>FhTjMb=&at`PMFJ$ZYHiwaj@bA_i6xD?z4qZ=H@qSiSFGp%Dki) zVS$%2P%qYh`F!F zWG#uxCC%|`Q*fiqANee&Vkr{b743g`4zjt1`@<`vr=_z4MOg^DIOSsRK&h3gs_wv* z??rIy(+lWMpZ)Dw6%2*=Uq+0ChW?eg3Gx-FcI=QBS^coY|ySE@-c*P4_ zGFw~Gp$RK9tN+)6K6sx;@$z=Y#9jG>HSH5t&Xnn-6+IW|sPHq6M7O?Nb|6d^Ng8nY zCZo?kA_+!cwN)e%U!7Me@v`J!eUVZD?GIV%cRb6$wvX}(j@dsZM2f$8unZ(55R{nj z0^5X?16i~`qk0PZkr)k&pd4)Zdbjo)8_8**MNW97?InLl<-a*8@MwCd_Pm^#%UP+9 zi?yj0ba?N28nFcAibP2(z3?~jD7tpsg zWc-U6HQEZN4JjXzEKFEm$0*IObV!|~D9yUOxEi@L^j|s88f}D`#X5h%HuPyz%3AVy zVv5hsc0r#Of!W=Fncm!WkM!D}1y=o*VDR5KOHg%(F7*eAA;OC5EuB>&xl@n>Z;4Wq z+XyVho$hXO0nbau9MGQrN#}hkwJ_Z62H1ja5gc7Yiw7qqK{riB@Z|OvRiXBmrwZsf z6?i^tI>&R-YhSruOG%M-UB31rEvjn`t1f%C$@J3vIZndik(^^}GEHSKfYRQ+n}^fd z>9_o;Hz~$r#Nwevih&_ruOQVL#b+YVvx=-Kur<4$2?%qS=GH zg{?T}J8Al(Mtdr*0>Q$tILm}#^lz@N9Isv{B0{g$%vM?<_*dEwH`bHa>?I(64)VEAa2JM{mJKEC<-`t8oUsd6=@e5FRN^XqpnUytldNaQy_oTE#A94UES zpRog&4l)k<2K7CMYkD`qv9cOQ za_^4aXO4}DMoS7V=&}dhd1}!!YokdBf=*SM=Q3$p8*WxDj~@M7T3V8mv6Ipl(Xy*{ z{Do??D+ON8qiiD<^6qk%ad<%(N4sMCrSrd!3PCS@mg`7K=Ldc(d=7wBBSheQ~K~8#dh=OA=*QP4x=d`7(mz}yg?xfHq8Ug~j zWy6Dtm~G37`=d0qBC(4TyaRRG@@=(HPp=MSD!|3ErE??1@t>;t3x!@TErhu76x_W6 zW#HMMrI0>165S(@-VeA(IDK^N=C(aC{AR*qGsM7$ziI~kpyw9;RD^L1;WKt-9Fsl{ zfNUcg?gk%>neuUEp;oGcP5GBQ+KoTaV3`1w&|r+K3K$>q48@Z~#n(M@(ZBOX^YQhY zKG3_J*cTP6!Nbi*M=A1{B&B>8T0)yOIsg8BdPa9I_L&7n;*sm4%DBz)=KiK?-F)91v&n5_vtL;cy< z9#@VHA;le8Ut0L^t-}rqwv?0^3)yOKsM3sTyZ&V=i<#4fc_InUzEe(m_MwI0V2<9^ z!SrZ(RZ&rT_D=DBVPP4MBZgS?B{HXtB6H}XrYb0#Ryg3K?d1K5fReyL$&WJ^q2F_# zFb5=M0-5)(n}kY>1aMc&UsE`=1ygQ#AYQLD5Fe0KjQHOTN5`}8LhEf!i7j7}i{;YT z?Us|Huv;)1Y%lQpkopMBNmFJ)F5KeL&<_7sI4Pxu>87pH9}En#?Ct8>Fc=<$Nc z9STu7a)YVde#Ets9u5oUTlhGSd#I@4NL4<5v??!iY*0zWz{`b6oj2Zld3l-Mr55(X z*IQqJly23JR7ytad?U(X3FZ3O-)Lbf)azVWG2cY zXno=^8S7x&M#{RtIcNTyd~QxvnwFG=#H?h9Yu92S|Blb?+q~=RUUf&zdEJPBEH2ma z@x6SY!{@GkW&Axte6mS&DjdrRf*(;#BQQ~bud|lsB zoc^eupP6CH)(zUr)bEmVc75B`vnKl@>M}3XV6uOhR=fwbtqsMpqTy;&b@}|-NwDRr z9z4D_8^>owh<-owMFo9TFA|ol`TBX^5Dmm zGHtQ@{XkTdm5lGl7GdshUwbHj(cce$VfmOqkXg(?Rn^T`^7aHD~ywzV|9`M@2W9KK+QT+(SfrMTFCQg94xYcHz&T;~mJn zVgmwR*bqmR@}%+uJbla|er`z$hCQwRVtaOVD<sG;@X8J)zgq5WicWi^~z#heHBhXAG0U#5{bLTVJ=3X{a7&48=-)0 z|2q`T*B#GsGLPsmx$oWk_ZR!udsz=)j$NqIK&qz8m%4)4+9mKnPO_it=}JTEQ|9#6 z{ci69osEzA+X`|<6hBMaq>*C*pFy&trxgM$>aPW-AsT)2Ql)4l2Xpx**;Oz($MG>^ zv?PTH^9=z&LEoQrhY-H%FK6X%enIceE857z%6ZApC&QRTN=@gmh-M zv3dQQk(Q=wEo-CK`>UNb^wHGqa4wBpD3qCY9AnRicn_oldM80$Oz3R^T7ctl`IyVrVCI^n7{`A~`Oyybn&V;CO~5zlJ= zm`j+O9xvT&oZly*7hd=~7OF>M2os0(kEYf=o;kIl@>OMUq;iedI2o>udYjyNGok&~ z_!Nquit5$kd_UE#E9B~!G)NH)f*l=#iS8dBoCoW(R!Jl)u_ef*_jWF%H5;0f``jm7 z9PQgLtRKjZ2hfie4BZzGuyK1)xgoPf{LExR-pMpV_rWXSn%I?Z=8p~g5y{R=86;W# z@4`QFJCZUiRBo+a^Z&UY%tJWtB3&PDTCbMp&Te7Oo!ye$uAq6F6@|)E!nz_c3K>j+h z=Jwj)=|T|qXiXjlQ^G${PZ<*^>Hhc@hnNj-qi}y8k9f3jVRbjTOqX;iwVGbRvdub` zW+&CTf6Ry(e3Cd9QJTodsdMZw_MFhR&&A25$ru;C(Vhat7c{jjq~>~U^T*-}*dwi$ zKXu$?(i@4U!-Mqh27&GSACDX~>mEPTjH`?KqC_7r2Z1ag`xg&Q!uLP7VrlDP`9i9H zn2~-I*=wt=rB5Q1-Bo(_rcL1dtiA1WW6u`i7QHzm+w;>GUl4%EtEnK}eR@f2MTAxwDjEwOk@2~ec)49y;jHr8 ze$c}9y`r{Z;!Pe5DWvXcm_~O2);@*sh%DDN=*6kr7{Cf#s5Uze4<$3s zGSGhGKOuL-2@xWm9QSYvW0z2Fek>ts$pTPNGAGAFc~hebBE;3ykbg975&aE~zXL>U zDg|78RB=Du+VD9ky9Lcj7EU{^t=2Wi0rHzty)}Ut<1iX)+B%!Z>nGl>K$KtnPj!Rq z;fJKH+!}`sefz8#*8q8D34^DOC)Ep=(1O`NOsYoDe-%)m+%>Jb!1;@wRrI8c?EYoD ztZ;c`D#p*@HS4WPDE6}MAQCAiek58xze4Wik2mLEM(uljzYxWA6P>ODs*`%H$-kDp z3>M85bB|cN1d_^Yg&{>BM88zzvsdTgr$YI|29z)j~GA?YEGv9G?>>m*5_f z-HJQ>YiFkAI&V7PWx{*Eh12NKjBoO)v-0VJxyikBzD-tiG{nVsTjSd&z4$X0pF8dK z2S<8!%2lED+>(x?!32s74wv(yvId%tu#IWp(a!%VA8*W-lE|zZkRowx+@~Zi6HNqp2)bx3+ z@`VctoS%a|@B)^O*|NE4+nCVmF2jPS#9DNP2fPv;U_kRI()s%Yua5lm!J?+Jv`F`` zdDMJLx8LLW!&nx6Oo+Xi1WIG-<#E|)%QXNXX3B*75ohl=xjLR)6ZO`a%gHmV>+x`o zSXE=CE#W~%27V71YdN3An=GL1ttgWHLexm)mx`2~MJDsshNu=tF*jF%I=Gl9N=;>s zA`62yaa|-2YaB7d_rHQ*U4qlF20)lZXQkQc>1tNV_jc7ovr^q7jAn&WpGc`B6FT=% zwWB)O>3I;=U-A)I(RtLYPGTf${gv)7RY@jnt~E7-E3aSJQ*%ZSyrkR!^* z^zX#D3>)S50(_QVVAb`k?VVk7m!7i0`Ds9ZkmQdz5-Q3*uN_qvS?jeNi`VZiCjBN> zgI>>JWQ#rpNQhHHU1{LK7_%uezoR*GqYwn$<4k=2(AEUZ=R z{ew4C4CKkcQV7^|^789k$J{DdF17pPIxYH$>Sr_8&wDD&2kO!Uo~se;lt49%TaZ-{){^N6lXNo?8==*j_RQ=F%Y7j zck}7{-AwLZSIta@60keNxyuEqw5)264dqv%m*W&PSm6kM+t}Dx@qdJJj&Km7Vo}Q* z-kp^QxGln*K?H(>KCZ58>UrneKiq10lPfGM@Ah zr61!PFg3%$u^uPEye*f@tIw-x03OA1quQmDI;s9pJv{&YEUE{m)$dh)kIFwuE_P2( zPt5|fks<0fF-ENO_7?F<(skD_Wq=XD_0gio6aF9ad|h65-AW*!L;H+6_FF-ggfG54FmcXo8hgWr`h-k~5S@fPU~W zMq2a#7DHV4kDCTqBP&(k!Ks{LU{}6ZQ)4?8l*xMQaN{;p@S&Q}M%m82pb78dVXPAa zleoub&95)+69R2(rr4*t2-K3I}7-ap&_;@CiivO<~%{RO(m)5c z%dDjyCcJOk#DnP92NFv}72s}yJFv7J$Z89g&#F(c2nN6ZFD*ca*~D57AP3ywKZ={9 z*Y-P!P|zQ6=)7Z)w{Rb~0c)402KFHPuj8$es<|05(TScCg;RftHOa_;X#kOt6))~1 znHJ$UfgaU=z3-h@HhRIi{=-0w%J8`5 z35JJ^#0ZH8TVT!fEk5p}f{_y8yZ^BH_zy@Di@2}Z;8U1EC6iC?JEJRl4Ewh)MrCmnt1LJVEx zdojcL{CYGMa<+u)HMnzIVP@^newI`h6?Tb2qseo?@TrL;n#EPP(e}=cQ4{!X_T#DX zSIVCT^QPk{3~e{p^rB*K52nZOQMky(pX(!Krb=ND`TTw__i{JO!T4)NI=cm$ghXwT zimo=_eXtQ7J&er=dR@1-gnydyBse<)N7O3@F~0i6fW%-b&_-KxwPJ*EErx0AY_!*o zXIeQyxWGdbN*dwnR-si@PL%vx^lv7thRaPKK`n2?#*w9dH1n3D7P5HwnJ-zX0}+0e zW2m`7Y-mK7N&`qV66Obt8}jFzSAwAxG7pgj7z6~vn>d|6D%|vM>@Q=t!z6&#eu`RJ z1U3tmdtE`lVj?w=l%@cfc_AP1zM2kUpuC5NVH?*|m{`rlOoheCs>R|WW`Ci`@OTN* z@|7>0icW{w|2y9B;VM7*(0w?nM4^aa%C~peFTy^z1o&zxT#ioxrDoK_^4?1OAKE>N z!hgD2&8Sw;-c*5rHn;O?8XCuT3upz>SQtfer|lt$qTU(x8N*kP{`m6v=7I0t26_7D z4z;^X3Z}__RZ{fI`SRd?Ybvhaa)KTi32?zcpyrUwox#{BpXS4?HE_-^cD?)A&fQa) z+WN5)hk@U_%f?&g!kHm{*Gr454+oi@7aJ2o4@1gA=W~_BqRxH$P2uPymb3pR{@OR| ziiDDLGo#s}jGNX?cY3>ORek+I4RSkOPIg!!Itve-W)BSwo2m8peC31W(pg*@-380n zaC4Q_S)I;2Z3OgZC5EP{V(k7ZRPkMSkd>nmSJcJGNgdt&G-b5*T&N?OK$a0A2S&1+ z%^rJB)WF#-XwLN7k4cS)>$!&usn%^SQpOfOc4elAg{_P|W?5Q2vqDpnjmOhzrT}$2 z!AizMeM-_rC(M?3s8HNti9U<5^ILkIuGQW{pV$gj=>N97k&^{-glECRJAx#Cp7A0W zt%R+VDzzW%V~13#1{1wgtDH|t)uv;DjE`5TQb>rm{uzKLpx5iky_}Gt-*6+CZPwUT zSEs3C6it65`gttqjv%U2Y>^uEO&Bu=3Ey1#n_(e!^BE~!+f@p zc6CjImGA3Ccx$02CChs`5IB-x4rx8$1Rb3D6nm{mDhU2QX1^hAFCBIZ{paenwjfDA zCoVD^#n}Jgu!K^j#pKk*o7fj=J=ZP^+lWx*LX4VH+Hl{palHEgw`DtYu*Jy7O-A;>ptEaGL!mzSIi79=#k^ujCLsT?b_>*sxCt+NIu{6C%5WE&c^ zJNN%nWUi!_`Qtkl+Is4ti??@m=u4)x*RRv)^SQaqi&{*L9{F$@O;1$>R|Y+=C5h`P zG0wmFpI)^VsrQZ|dbyNXt|nyv+)6s3K`|8s9+=n}cE0kO zTHIfjCc(uW-DyGFhvcS!txyp{BUQ>nX5I^Olv5<9Yq(11^2DT- z`7p+1Sf~>E>oIOEn!rPHf=mO0=qCa$Ou7Os03{&>dLI)k(t(6~lGW<~Y9H>|)u3p? z49BG1OqE2X_)0fT|9C>9;sr~wYA#UMy8kvAM@-Kkjj$XNcJ;e8f>>U8XJAy}(c@U$ zw6h1MzXu;0_|wo%yMgAE02lAmsi|4p!dSLX)MXtr?XF04=I!q??*4O<@p_OiyEyb*8OEv8DFfx ztSoQGO64el4rq)px^<@T3=9lkWMp#R27|tZ3fMDBMBctkYlITgHyP@{2QV=)rN8#} z@UPQjGVq{$?;pbYC;S9g!Q&7w`N8k9Kd_B<qZQFKU7!Cx(tZl-8aIE|WILwRYYoO7GcnIQzsKPw~E1*hpKuU)wc7K2zpcv8zM`b(ob zOKhlr6Oj$ObYxGHb#JAwKoK^rmys>UGa>nxE~{cL-!NtoHpJp$v+dkA%0^^qJ#8VL zh_O2;S8$&lOB27C@q83{{JCM570}!oZ1wc)o~?_GMJy(*O8A2amsfu!E}+XNw}otD z%1A*f&x)~zd53&UQLsS8Te<>A4mbIcS|q(AQe>??PxN!KCqpz52V6rjcw^zLrZw-yE%#ApW?8<%~ju7uiLIWiia(brg;2{E~p2?Jtl~(WhG`i z+B{60=yR5?#Euh0zzfeNvpSaO=E9UASq=*e>m|o-jy}Tk^~N)L$dnlm6&X1KKYK$K zqs9_=jtma7u#KHKk;emzvj}p1zGS(nxL&;ZLfo1z0V@;uF8~bEG-Y7o(Io6@dd)s)uG&tNl>^aA z)kUteUvoP5m4I}M*f?VH$NaOSU zEX1&N%@LhMAOx~k03efY{xXTTUS2=$WAF0Z^!&biX8{-3v2#Y$aFNA;qNn=>1Ju)Y{?W7MnW`+3CtAJI7`oI`Tm09QMw)D7E`fKtNj<#cNGx3Ex0j_p$ygfD$`hwLp5e1610z62b63z6K;`>BdUCY=(J8)&tRZwt!vla>|5Lf(RVQ#MRqL*R;Faewe zvTy!UiI?fIrbh8v1xzkqGNS+ifC9Qt8I{-J0%8RiZeidvM+~1O)0K`jNvi5dYdEyh zy+@a(befUB_~=;aRB+QxpiY;m&2GroJeOy=5E-ps$1u!h!_aLalZrv}3l2VKxmjt& z=DvhqlW~If`TLxDf^Zy!0KKM2%wU8qHv#X*iNJ>80_i`z6s_)N<4bhEaQ87+`QS4t zGRU-Q%v9b20RKs;obW^UyLd{ztZYPdZFn&RNhDt7*2ADDR;0eY#XQ)&&vpx5{v-qh zBWWB>Px4wAHRf-x7xMo?GgJqL3J{oo+oq!Kw~(DrUS}wi2y>e-@*9mCXX}3#rXcbx zP97LHeHF1*sP_1g9VJ&x$@f(`p^l(nr*jgX$2Mr?u*kfhh!Qr~>oK;YwK>iyY-f3d zo&mAiDTmC$nB6zFl*1ImkHZzO!vF!N^vDJT{_@S#RY7MMfX1jIev)ly9UUE|rJzX2 zgTbX0y>nTr{t`O)z)ywrzox7|4DAXOl$M;VsoaGb(r(ePbl;!$V>{YdLXB~WHaRgd zRnpIX0>zUtS#G@(imawgY<4pV{KRL=xz^r*Qd`!P!UE!@)7vq7G~)@8hC(%qu(6LZz5yBhT9sOA&1QySAUSgW7Qu4;9OtbS5G|}tY;`m1MatcPO{18&BgPgl@WDK)%QfH?aoah+;v0sX-^0a1m&8?~QZ#ZD5JO?Dr1)dEDcxc+ zB|K=$-|6x=ZOB2-@I~Mk8l=q7Ng2d2H@h}<9LBdw7(Cw@yS8@)9Ji71D5T4XBLD)S ze^uCSu^bvN6z)$UbtnFZpJVZY8EFZZ3_*>RX{An?&l2=^n$2}AH}YT7Sn%52PqsaGt#)p! z?L}OWB*kD7!(++$?)&hhhv1J!lt3kZ8>AAC`oR$MA%EuN5eljbk4PO?*R&27sTklT zRWWy`@#fAIU?rhMcyJ^Lxg4{s^1RZ|8GT$;(SDTdUmt}*gFYC(ovHr|P4B{EgE;c~|EcQq+}N<48%hxt^mf{- zEkY>&R;fvy@-^*G2@~(ftLU8NQxDR&O$UzyjS&-*5mtN?I#;iPH}WujuDl`tWQ+7v z(WkVHShB*Z)}PbeFA3DhvpH*UEyo93YsHXB)7#*W*o0e4E~L1{rFnV8QG-ERl~Uyz zU?Y{^@3}+@=ot?ipIU8f$G0K)IWpB+4Za(O3-%ik(#5+a`H~T_73-%dIqALXWd4dE zSy+p5UnHA_US-Pz37|pyt9qVTKH9ZU4sEP{x7X=|0EqnW^m?Wh)|BVXW912~oyt2E zRaHy?KG*Nq@;=AtD-8|Js`q|2{=B24f1+gnD@9n?ogZ+Qy*-^_zq0Qef0!*`YnV~Q z9II3(t73$AWi2kIQFz@ZiPZCgru@N4IoBP2{cz%q=H!0`?}~$7#8u+eH>-RJDSSI` zQ?}7z$enyim!uh_k3S$F>G$VV{1+~T`amg41}ZHyol?5a77{EOf4ak7Ey-5iFmK81 zko=&K$w&AdzB1)vC#-sRiR6GLA}7Lm6RcyY`2a`GnwgBKN5g4x{lF_+WMz4N^E}AB zQAcJF)nL9b`8O(Qu6O^}irNs9S?yMaVb`Q@?v;%-bb>2lzr*K66E+Wl1OB#@-}T>g zy@fm{7uVrjIreZY33l>UC<3qmmq2H#s;a7zvkmFvZzM`e+no8k4vQYOIqu2Q523=0 z(eNG3?7#Lu+p~>G$z3agzh)5(PxY{E-Ez#YbSajgocX?y`~hPnPzt~B9sH`lTjOfC;cOf7lVx{B<2}gnz!2ztc)3jM^RZ+cY!ryW~@XnjdNjo@k{+!zHBvsf*HaW+q-IjD+ZF52|Azku3%k?93nWML zMAZ+PlC2b=?JyW|^qlW`nc3Upd|W;T!p1@0+ij6TpLU7jg7JXcPQ$>n>-w+ELeKvK zzZ#a13$llu{3b|AW$?bAcr)h7tTfyZ5P@AX3cas~HU01^Gi$Dne5&Rb)rE4i-_-LK zrD;T5@cawKR||t~Q7`>s+|z!kwYa;3R)32~1Exr;60o~KmwJ3+Vz68>Rs;t87WaiX zf_eB`ZUjM$)tyFzaqz~~Sf9kB`!%UQ=ri6ES{aTmi=5&Oft;}%6QhUyutQ6s!(3XV zzi$OBC5)#k1qlw;%*+hXo_IN_CZvIm)@yN_?V&<=)mGwQC-QJBc=ooBn)S`Lvt*PS zM5&ki`|b)~gQNqR0;1NbcNVOK?p3jKmVpQgYYrpz5BQf%^@W(tp!IqKQ1&T573 zcaK+HrcnR;eC7;P_4hoi7xX*F2w&JOQ1fEjP8|zQds}n5nPb|rodJw7;3Tr!Eii)< z6PMcEnM47?l+TNi8LK*m?e>C6VTAJ36+da3-atrB&gI7zG=dNcx}Kvf7D2?>$+a@B zhV&K_78}At&Hc$LguwRQzh8q;P+(Nx;PRkzp<`w;$b2bdze*Gj;*(=L&6r9I1f4a$ z{w?|ZZKaY;UEg#d@49D%kDW3y_7)3ATDha1xsY{)c1d&e7**>+JvKR!qdML|X)N|+ z`X|CsaMK53aBzIH7)j>jSds}`jn;1rcq8)}$?rjeG4e&Aj zfxmP7tEQpO;`fP{#i@oq<=uj++Cbc3Jzs$fure2_^{|PF6?y_*SbZQBgQm5Gq=w!> zL9l?+R?ND)1e9X3%@So-niIFNs9ZwR@rL9`5B{Xu`Ch*x7okn@px8Eip) zYpqwj868KX$x>%}g`f)`4#vQi_g1C&6onE$`B$2aFh*z|>hs9!BrSeqGXC%oqLo3I zmNr1A{2GJ#QfqOsP>u6hiGo}Jy@>(`RG3e#GF5k~XN^rVVUjs(<;Jk2Keo@-DO+3g z6*khvnykoDVrp_+6dcSXRAW0QLt-yhj9S9U_Fhr;hTCKoCjHpwrtHyYAt=Y*dnM zsq51tG^Hm9p$Tbu&!x`&SSvCzl0d|d4;~)AsHiCG4aofk*{?Rmcz5uqY&T+6qno=x zj}NCS9I~4>D!e(3gdTxRY~-({s)1p;`;&^JKh44pdPVGKU5j-zG#VtS)DeFM_(Y7F zlFmp3I86S^diY_o)jJ}^If8Mk zi;17G_|Q2dI5j;KJgf?LzwlTeLd*WNNTZPJg9=>tLNB?sb#S~A?u?TS)>vr`EK#io zxIlYjS=if^`_93PhTMd1qj>jzB-0$RU_kUjwXV^E$b72mj&$AqN>l4q=lgFhCk2Xe zmj8cvfnq#14$c=xM^=0Z=5xi4LF$TxC=?-PN~S+3QT4e_E&q4z(QbgFDNCRES#(a!vbr;O`_|I zXm5q^Rcgree9+n@vWRZ*` zVh=fJ3Z!0Wi+9KS?(6oR-xux#K>0;|w(pJqt%jz($M*A>1hr#mIj;9lA0u2IgDr~o zcd@ZC`&w10j;eApL@_Zj%c$R|KH3%s|2$u2iSEe&MA>JrE9Tu^W_V}M#yDWCjy{FL zv)L4))efUe%ZPFvcubhYGV z63JZ7H*4xI?qmpne&3Z!mdpID5BxZR4L(>YOjTa7O(t3m@BqETA_vXOBMCM+LLwbj z{w5p!&cGJ^Gnco&V29|U*m4$7>y-T`GR^3p$$;lIP48YFD6s^FTTZTGY}=2g8f!m|C;9Y325}GSe=9w)-enUXBIY3Y25$`8(2B zYDl|?`$G-;=dm$*PmO=fK51)ub2Zxpy@I_x@dS30`8^0ZCky93RsLnh$=Im<_N1?K z3AK#=^Gvywug?vp4NAzBok~<54XDq38P70kP_2}VAm|%|!&*admG#?7ZCr)@?*0?2 zVK;_WWwOk=Z=#L-zw?Odq*9OS{pJ=!3So#K)8uave-Ja{&5HDjn6S8b4nKiTiuZ}= zn`L=b0Xa`XWXRCTeE8L6{l-$eZ|cVJdstY41xEPM-L6@=3VJj1j^-xDF`wC=TigwJ zkM=ffqU~{cU#3#ri$#*$eQ%%i1%d0tZEyXpwthviz95=n(Ew3QO#zNId;;1Pg@VGM zLYqJ5)$N3m99D(m^<3W%qC;Hq1W8Y=Olm!{$6{N2f;F*QiSqa#9TYWra(@uxs?u=U=f`}ic2#2=ry z-+Zva3;<~`zsu+8RQ=B56qy@OH6uM1=#of)^j4EBJ40d$?QZUwqs%EV3*fbzTp)8cNs>dJi>H zooRQLvOj+$NFrj8YJiH?hc>%Mg>E;qLqbBb-nJpTwvS647-$a<1C$4qBd;${Hj6bR zK$JW%Je-)462=TsNaqYqBiI;B2vWgcfc_nD3g=PZs>iP7`L^O-XlD@f;+DPaUi5I( zRwVV1V@HKJFK|fVc-JTYIBYyEVfQB9Q#kPYo7OJ#Ra;AxGAV!LD3#3oW7{MS zan=43;u+OR2Q)p~Mk4?Eb^c!k_iSp+Bo_1=5>Rn1r>akA!eTZZg^(m zV2#+#r+mvyk2bHVnO}pQ(T7lp z-f4$@VpIw1jr>ub)H ziQheSytpQwiC4{9rU(Lioo8%yHeYDV=?;)H-~i#>%ztv3=e`mi!?#;htuWj8IcItp znLKoNeeM*Nj%m*;LyZ#@j&GDqvrI6s)(b@pQ)~P$Rd+};hw)5uezxK7;GX!ku*-+z zF3wtxM_4#8v5U-(VtBFCgPT}9SGjW>YG0xnf8STITswwm$1-9UhJPr(coBVtYFABF zP#0<5)Nr)SiXU#V2>C*cAMZ|&N56Iju$5Y6s+Reco@Mo3Jl9(jeq8tWje)Wu^%XAy zX@{aBYD3@C&*nP+lC=%X1zz_TR`3nI@=1N^xVdq0_r^z8B03yy4hsCr^YZ>r3qTD@ zYL42Da!0+Nf=3X8dFi;_ev+Pe2-vH|Sz(Hp4|91k@HA$h3$X3CZK|)MCS#!PJ#M82 zm6;ZPBZw*Muat2KLWw+Z?QhlHu=?{0bKL(}Q4X8Pmn5}XtHx%bap9Cjrz_)5t9lp@ z6Y(IPY4w?7hsrRW^M}&uWVWXaz_ObWeVbf#4cIdFc!vV-=9oTGy>nKr>6rBpXixR4 z&NE*lR4#_Knb0+*rYLZuTNXU<_t@uh&#A-Nu79e1T?LHum-rPDh!ms}Nc07U+vnQ) zKYV(e=<5hTZ$Iu3lz89r?UZwzh04EK>ir4J)b?TRt6~mB;U~`T&41a1{tgo|q%Z}A z1zx6?2KZ}JU@R&N#>s3!?%ilb6Ts?Q6uqLUyJe_)Zjdjv^mpJ5Iqj!=`oYfqQCI=!k`nM#^*L&msv4 zs$cjmE?@Ku$5_Z~=Dr-B`F{xun_1D`;eqTY)T~?6`-WTllF2LAwCOv&Aq67d+bNc`5~mNx4x61yTZ6w`Bthk;tI4I zusQA~laU()PZ!6Xb`x7>k?H3zh~sH5Xqyb^LiBZn^~HaViJnG@x#4MW2Bl4+A}D36 zOU$B@qF8hDW~^In24qVVGhD=bKYB@j-)&H!8O1Ve>S8T^N0QhTS@b%Z)t##Sc9FDU zm%;1M*OSwlO*+G4y6Xp?8;m|R-i)!z?HuUBh1-(gE^|0fm6KdMLPGOpqSMdVSFfBe z8>>1INskm9Z%CB$Xs0)7O8w3gql)0;gxC@WhmmbkpoqHh#SfpVg*<#XAXi>$7LK|Y z76kqlaZNHc>CRvVSX=%!ljx;vbZ{RpI-$X@lE&FI39cJ82EFzma zjbvJI#2aB~>L(XmE(viVT3IwoD`BtJ+9UHEMJzB?0XPwwLvtUO(zqYhhz!%h&aX z;cUK1c1~*@-gy~(>sTAt<;$(MA>^}2Pr=+;^`C{)V8jJNS7DZj?bduro1C-}rxl(= zZBt4C`glFZ_TV8<%ux~B6FRB!#c~XvKI<~C-FO)V?|t^GAlN4QriaoqButx9m1j9o%5*^1r_0<6#ca^FFSYMDXf%&~lOmp-#$_04%)9*RKOm zh!z%Bfz`-#Zz}h1>=33Hr0;O~u|mR^Jfv^V2?<47liDtQ$uh5y8112Yu)8&1t2i#*Hau=`D*>E`6}=x+^4Fv2aMr-bcTGqkb`6nP7v6@@AxN^<9!x+^h4 zcpUb-0!4N-e{&0SB?blv%{Jue?2o2(acn3)GC?nwdUEbiaGIg3gSAY&Dz?p-7SqnN zBfX7s7rAaTWB`D(ir-G$z~Gyv8hv>Z_Wfn1cjwLWY?IFr0EAx8z4#2=iaXz0L9!oA zp6`ELpB`r?JiWa6O_qGNk&TtrcSP(N*B>Uii#7iJyPc(-2}zr=4xtQz=tzi-`^4M6 zwR5WU;{sRvG0gRF%on`n0~6G}&*M@~km^N)fye^a` z0n&^a!$S?%ahhKxyGnQ69zuoIo!Bp$Mzri(R)Ap!wO&p$l-)W_;21$qW0gwltj%ms z>%n%>dkQWxsXV&)Z<<=Bg6ZPM9geNnCau@`IAw13tM%!xEQuThLjI8P$=#)oB0IsM zkhCUS5bLXfgG1G{9wLVef}b@J7<)m(({Z4 z1g3X|&ujWOThnB<>vUE?Gk)*=e#zs#v6h=U~4h2!bAepvNDmV+^Hn(!(LAuL>+2efn>b0;LmMiOD?jW_-`{c7yp-= z5|JGL2M}0=UZd4s92gaoC@$II8#7`+f6=jbM6&>c9He4r+myl3KV&%FB%?%Zc2+X4 z(Vo>9BWL`)xwZeiIcwYG=e1AO$>l`*G=}Ot!dZQ@waR6WrTFRdg|DK$0`ruSC^$}= zZLdr#v`S@qz<#IMvFmWTd&m2U9>VGS@vO9HxtDcG)ORCXo<<61Z{Q<=gOkK-( zo{3H(El^FH3g|$>a5nrzEE16YI;=6Llya3o5ebOv57B+`a6d2LC=tK!_q?UYk)cyj zbl=j*1Q@g-q*4r7y(AWC)U(ZYSlei+!ejiK4O1)JI{;1Dk)R`rvTX#(?~@$-ZK?yf zL5z>{zvxS6x4wX%<1pHl70t4hZI3wqJwJcy@E{x5vksBo5$>adB#h^_WH_z~jgs(I z3x1c|5|le=mcF=(Lrv#-`BUtG5yBJ-oYyUs^NDSvdrCXDX6c-nh{1n_%sCe*WXgeI zo12>rhWJ2QM{ky_a=z=){aAdXW({C_VtAAWqdTnRx@M2$dXWAd?m*plRj3{+M*gjp z7FSRdoj2>zqC;7belx6F3nN>8j?NFHEd=4|Kv-?G%BR1a_SvYlNrKEPzYwZqgMTqI z|8T;89TPnh^tFj?aBg1{Ic~703H^%dDmyq~R{NUy&S06-V}RX_2>1RhNG8Q%ir@J7 zmIQ|%&6>Nr7Q!y@x6TZaiPye#+?;AWZ|9#g)z3TZRC4!QaXiGNDBS8YaT~FL3$!7~a55mV=9f zcd5C2R@Txq?Y`Se25R!R+Ov{?&NI-TlPd~&mFNKXxTNZ+Y*mc>jcyY>kZ zaQlKw5<$Z?aom)?x6U7j;C>pUVO#a6o3durr7ZhBEM}#-&Ui=5Uh3hiYXiMtCt_yZ zuZj)t5?B1M!kOLKg5;SMPbMs5{W@CGUOTaHJZIx3cJ#S50^`29Z*kq(y4%eUmL6Ie zE^Rhxr7-2X)e-`bhE`$^!^cgl1(IO@2i=8|cJJNfsik)R@F_cY0TN#H!^ji9mp55y zmVFNQ%U@R_i&cQW#?7Y$fZeY;zFF|X23MB;r8Il4#dK|Fv{~-s#lQ{;lZ6utQknW! zWe`?w6Fub&$~RU{?-80z-Ke7JQN!35^vREn{%v!M?iDoo7c|!(&l@I9lvf4!{d<}h zGoA8%V=*IBiR;c6!`u!WT{jB8I{w}mFtXy|&uVsj?P9CcjP;Fphz&71BEaQMo3O0i z>1y{ZwJJinD_?VL-uC<8ynft3U7dsb#Cf>VfEcU`mtQt=byDKeF`cI5GK{un{ig^S zX06?gLhD$RpdodSDwMmD$QewH>?z3etwT49ZTf1?h8~8$V+|$ zn}J`SwMSh7X3{k}MPDh@vSGs(3InchhdOp-=LF!ri3q-kJUT3mM;dfEOB0FFIp>{I zONG%>hX(!n154|EJOE6nV$Scr83E*dssY`O+t=Y#61=`(HfYKyCF@KD(J5c9R5V$CwjGM; zB<$+;VM&z8-<+%q_Iew}{p;o|3l2H)C}dQA-voW6_&^P6^NLJhLoRYOt!T(N}o(*-u8XnA1hs`&BsA^c#_2Hz=o;kxizcm8f%US ze$>I#`=G9rZ8TO&ycH_~Mi%2}3C+Oga%VaB8||0JEIV9c)sMoL$vAjnf^7JqL!O>L z?e9)PRPpft$dqp7XF`FjPEStP!D54t$*(m>tED4NzHFs1Lr*#&!5zNghkw3?M#F$p zMuK;CvJB2K=y-5=>uIpOy2_WpdHkaB9qq6F*1z1hhj`CiUxafwmX>wy96j^&i@473 zJr|#V;PJftd%3C_)~u7LugUz6ml}#T9c)Xs=NQh!n6hbdfo7uK;|=@sCm%xOmJY|@ z<)jpjlMU_cKsl$Mbo6{-mzUWJ8A54W{dAbvJA!?GJCr~A+#UXa>`COScvZ)ZjgRc^ zli`~%a~FP`aoK4-wwY~K%)ZsbILiFb@yTgYavY3zH(}<{A-~tKLDQjS{T$~zv}Q2X zb(O|vPmTI|L!@IxP4$7E)%1%TCnf^P%VS)L!Er{QtSvW@G+KF%<5IIPez;nkSR|DG zCo?4aXgySKDEeY0g&9({>X6I389hfh-VO#{5n7C(h^ zF(pgp@A`@L<?ed=Q%L;IYx!H5sN$*Njjf<5WNAKcFk$m~U9Qe;`ph{!At%v7 z;EX{o`#BYkZR)vC35bASV_So0{kM&I^T@mVUA9l&6mws4vhr6DO&5uPA%QJ9O zXJXHfr&tXXS2Dp@XC^qbO{s5*syI%2cDkPEOS=JxiAa9NMpmfmWqR80cP)utoJML^ z{jDdo(;-v}&&ChXmrWNSC>;zD81bb`tf5ZbFHxeTrXFz0#ES}bN~xAazZPagJouTc z*yuF7eC!pjHEOT>BxrF41L*4NPiXTfqn?HgWgvL?IUOJ{b)#*1w(m!Z$_mf(atH5K zE^myOM4^q@_QzL%NfU;C94Du#kT)rDg(r~XwT;)Fm9kjIvmS8j$~bCn9t{g zoNDMp)l7l+xqtU{quVRTi>3$b2&GkS`kGyAgXz4Qz^%QcY}p(1IQhi(Va}2GO{} zQ|JtrSuZbLSq!P_^L!FVR&*B3K7hD*nf6&D+(82uJk}g}6LY;ou_P%cPxy2~y z^9fNh(>)!@l!iUJr4#@c;tB}OzbH}s(8W!Zi6IwgxBRjCKrG;w)+Vo|u4_U=`DJ)u zM$&qr(PsXE>7q;L>(`N&md+ThLqQ8m*QBf6%KpRo4y%}Dfvbm{tXpLi&xdX!(+*JQ z%@Pwnz;AJ(33xk_(@1*LKtYR1gT)T%DZ3v3km9iXot6CiMQ}J4&TgRHb$VZ4AM#bt z&|RlxwNCiw>u7~Zai7bich(MCN$+%ni0F1a_{+yfzo;>`HA^15B8YD4tjtzgU^Oh9 zikHur%G#pUD|mY_&ZIp9UxD=bolg!>ebcV2*D7$Qnrz(xEr~dg2n9dCDKfuDkvfH4 z7qzgma&}Qh*6s73EQT`Bii&PP1!%-ulfJ-EBcYA|=tmr7Vl1*MtqDk^2Lw_V1DS8b zBBj{6EwJi@TyIyjAFmIGV;0f6&0jdv8D)9(dZ)-z-^J(|^CyILm(!IONR(63mlM{n z#E5G*)PGo8ZvM9z{7@!Y@xCfvy1FhI|CiN6-Cwe%qQYt_!D)$;}KsYPqL6X!THi6dz(PQ3&jm zK7H%Z2GNv=Dqi&O_2)tWzT&lHjq=XJXk;dZd8_qZeHe!N!b z1-&72)+?we;ajVqq*dz5A36@4oU7Ml`VfJV<=wq6@u}Q;{rS%v1UtkP6L^@c{)lL| zb-h_@~T(rtL)X_$C-PsURJHw*uXV1L(5ApP^( zM{`B@05TBx7X$YFMwL{jCoa60L5KUl>NwN%mwt(8DcTSDxXyyM_KVB5>h>O9s5fZ37F8Vp9hTS>L-#?Q%%_Qg$1*LTgdCAe0fn% zFtvQvaR{SiKW=b^o{1Y13wOZ1u*PcO@0Pm{nRpokCJb_)j^Epp(B-o9y~ao0rk}Oc3uF)TEk z%i!WD$gZ${<&0I=N(+XV7E8%-6;KHwlYOG0;cytk`K^B1>-0&Y8FV!H7()5UpO3RdVQ~YvxX)P^WQ1AN;YGWRC{{E9QDk2 zA+2R&!3M|2oqYLo><`<_Xf-N!LeD5&%sXB2cO>S{P`{vqD|>vbuK;cP`p5t*0aBU8 znWHcn@xZ5}H1j@zK)t;G5VX4;eCxf7jE&rmL4w|4$8Q^HToX=oh}?T z9qZKFqSEYXN!+~CUo53EdAFB#Zs4{~%^DvcKP}MJLym;63^>={@DM=3%quVd+L04# zs=k=;UU#HGd29B*ePgdbxix<;Qn&%8{xO5JHLsUop(8Eg6+dI(b3Vt?GViUm4rBx| zY+HiGmTiNv5(dKPyB>d?wRO8} zql)oTHeK3k4*noHwq(LHHB(kj(OXs^@0gqLOo?*F(m)oq9fEWHW`(I2oDWgOF^08$}%^5sa48Tzkg!+N)gttMNka->b0wZS-moE_P{wg(uV0+)wu+}TGhfs z#$A;~y&eQ~@G5~5)NK%SW;-5cI z?@$SGef`c2*T9OZs@+P(%wNOWZ1gEfawu3t7rmWrolk$UKcB_P6>l#+ofX#Cg8`06 z&i#qqm@*UcMQO8hLKADXsyZ-1cdk$d^fQj?ALS)6AZ#cE>jz9Rd^2X(Z}TpI6F;Z@ zZ?QiXtBtz*Bg}d7vQ`4~o79PMgL^L0-VaKzI(k;i*a2)77F}xBsrVm$tuF5uzA3Z( zSESL`VT}`Z30!k~<*sMGnxr$T-!jJAgUff;{v#kgEJ~Im?bYg}6Lu955s~k$4?`Fr zC-yla$$FtmhvZrpBLpIjBZ&*wJFMLhxP3#FqpNR)GC66yf(X^0)6H&-{?MJ%@)IR9 zxMT)XA=7V`hET`%sh=&qsTgL^2HD44r$jM60V;CegKB#vd&H6BbAgRwk4dlju2mnM zQUm_^ICu77x?9n}-2fv*UI9+*^Rx=nt3-c|^#`=42iCoY)1{tV!M7)x_JwZ3=#DhV z{pJN7+o->?XWbMXgtJBHf|KSQvdI4GKhyPgD>xEC{jc610La%WeAFllGX>-L?-1w0 zX?h1!jgiygv7$83eEoHe$xK<%Kg=LSUJkA3;)}$hUUe|)IUGZAGV6I_ofygotBrgB zO$GyWPP1EVx1zS++Pk>AdY{fKk3wb(w2mL#w>Yt|Q_ufE;xO>E8eGVM5=s_u8pO{N zboC{^x!5tfDw!_#EHjHNgTufp>O0uavS%$&f3oY0)nUd18WjLJM5;ZPI# z&kKBQ&+E7aG>)9xjS>b6t~dO04%W)R4=bw~Tfw74wGx=oM;bKtrllpqp^X+d5!A;7OznJa&0t|sOqtn8K3B&ico;^GbW>oUQMB=> zDgLk&{Yk%Nk5h@)cMG6RIExJL{l-XfSTQ)hJ!^C4q*@8VG9T^JO^K@)%8U&|G4wwY zM<*5D>HpsQ#YoX;(WF=0cv)-3hslaQA;;t8^yz8&7SiIfPT0_~mUt#Ho8qp8Q=q-A zf7WrIv=RUSB?1CJK;<>|3F<%oILBF(N1p`hDrc4*R?Cq8T405rT7_nIkx~7Dg!{Z8 zr?h0b$u3;!j>)mbi8TKgdpcYK&_Q{WMeq)I_cG>R;EY6{i0=kuIK-N{6b}C-Mqszz z3~{7hcY{HG_%)&jjx`4u{gWsOTbb*rj=L+_5Div zr)i-6)wXT(X9d*)y93KNSF;Q@*i8y zN#-Y1>~o0>0@U}Hc%A+S`5n`UQe=&>Kqbw^qXPn?)9P|J|kG?o4 z-7P8SEWhkErynf#2QnncOM$7+T3tCkSG{$dn2-W>{@cJ?^^fPNp-JJq|E6O80kS{v zx%BwG4QX!I`9~r;8jhW|Qq@X>EFm2+1qJ(TM|me4hfV9yPoPV~cbhI>#ZzW9EN6Pm z%pA*ign){szRrIhNS}r4^Ho||2xQ2_hEB*gIyvi}QHt$W)s&5x!yucXfj=Kp@ERdtix8 z4_39k8F8VJZ}I=VR`|&7bC2=*F!0{pqc-fM$!cT!JOf2T4JNNhXrj-qL-ZdRRH4+O zGU@Rwhg_e%4$TlFBr3)ElKRaH>OUm>M7fje8?kTMsqAQ&Gj$Bquy_q-aW$pt7Mv4RDvw!)z#G@u{qxg*+9Jbqp`_zWn&MrGx zuTlg|WeaI}rTbDLxyvj3Ko0t*+MV9=z3=>s5?MzAbwuYcxbAG;T*MNko3@fb==wEu zZN!RI=}T-&+G|0zO`SRJPJ*6^RiX)D-+6eMS{f!i7U*}_o%mf zSwZI@V4C-Gvt76xjYw<=M80ze4p=5a8Vgx4blU_}PTkeosO8|W(UqwjVE83Nr;mjp zLVG36&45k%BZ=B^z~@-B{5fR?uO+pSrY<%I>Ekfd@qvV@v@1?I^^iqpK+I>cFO9!? z_S*IIu>ICe>Dz+2gigWI_#xYe1ly^DJAxO!my83R7O77PSuOVkTK3yDOHduiQ!MtR z4}&zBE8+>b!(=1fko}rX@%5UWYTbKEVhQE)J}(}pt(X+s1*J4sugtY~^%VU2^^JDb zS6IowS<_iR+@7L6IQWUQ>o{n+@hfxZ)c_(vi{Lc>4IJY&pHf-++k%T0i=Jlc8h(f? z)_><6e=qFJAg|A}OiER2{HKVp-Rk7{LsS`((mDUxhe-3@jF_e~?M$ue`=0QUY2jtL z5AfUzI9zphz(|DCI^C8VZ63?Mm}jehq6b|3KUjICUGC(Az4sg5sK___U)cUC z-y;l-$+0j6>bNF!;f7>js~ZEmC<$ncVL$vrbahMCkGBOfEn}M8Dp9IFTyK+)Sz%yq zA!m4glVjvqVJ&lFQ3rcJl<%UpYn9<)e}cTkDOTRN1E$?$UiXjMtgKC@L~ejT{TN3< z{4-rEGt;#JHycuF6`llBNZ=v!5`rkldR%h7R6ynJgPD(_K{#lNR#&!~nslOb_-yg};mjJs zpc^65xG;rosdvN49e1#kK4|HDVva2<1?Io4(qP|DSNu}9P{b}eXxj2MilWXTdul0t;amMt0U7)$n)Wf)6EdGXrKkTv0DhM_6@`n`Mq`2P7j zzw`U=_nh-w&pG$G&vmcY^<4LL?(1`L862}`;T46{$S44BaPz9RLjL9jmdp@2GM8rD zy6|=}y59cULaGx%P4^%dkFLCTZI0n71>4*c`Can2h|HAqLh-JY(u#hC{geq!kM$`I z^!e+aaT=IwTD}(K_{FVtpL&}LBmSoDL1jM~G+Ih-#-p9DsrzrVs+w;nUlAE{ROaIT zXrY~XHCAUkd&O?)ujGE4O3~U`T}=GWPUdcw?@Xub?DtQ#vQk;E8XMT^dBPUXqp}?t z8nQpu@qyFo9YIs8xJ|1XUX4W8PDBR1sH`Mv%^zkc$i)+!`??fQ{zY*oMmaoh?}^8T zsqh&z`u|YwU?%6z{V443voAPDr7VqfiD8Y6Z)G;uHF{9#UYf`H;uM>_|MEV2ThpiV z5zBF#@$u9143zGzf4ll6H%TS!9_H)*rtXxsc86#XsHpDSCfO0?1CrIwC-u=PZlOmR zazj5GJm&)p5)Z*#WY5FkHwvB&7A^ApYPJrDwX$7oWR};~7Kw9oZS|z-C#jK9XxUMPrHJw(!8dWWEAo%rX5eW%iebTF!Rh~TyKVqlj zN#)yn3cVKRN@8ekBdToAXw*F_UBJUq0@+VFa40D=Gyna2Hxu97{Cq~TPJmgYU?b^f zOIN$25VJ?o9?_YR-`p%|@&V=|)})5fHky~W-ZnWK4}6o92A+MK@JF-Xf@ljdY?b(f zQbwJ=xkO@*QS6BCxWjfs$;8m{7jy2zl!hw#6HQ{%8M3D(J_{D(NC=e#RC}x>SA7c3 z`~faVdy5p-3Vm#l(bav%(z<^9(v`k+Q$4S6I%~{P?>Gc;@jO2r^p>HNUFORNA<+U7 z5}zMQ<;%@mPz&X@F|qg_1SgaQ!QwRTj7So+@je&!^4iztz|;drwP&e<(j3sH6Y4zD z(Y2recY5(ay(PtX*A{!Mnr}3I)Mz|Y*&*D~S`_iFxgg3K{}mqMjNKiXYgs#RB?ml6xsL5^dbD& z15#C$m5$Ap_|ROT`4g*4U+U@&wwaSlz2vKxorrr~6jv6;$iG6dFB9@x%M${+-hx1Q zS65d-$XEr|~?v0Mk#sjwP5=QEj)+reBXj@kcz+ugR@lO6+WHRxjCV-ggd4e&b${r*M@Qtpc>Dlx6DwMp(ua5>?)H+mLdH;)BNzhDi+uV<- zL8D`s6=?jVRL zD3SHY+1Sc99U3?*R_N9JF0qr@O(KUekRB)vkDiy9mZ|5hSi8^D<$cr+HvZd0bTnlOS}iLofX)V-}bysOs!VfR;v z#_j-~mRx(-M?)sxuTCt;t#o7Tem$)x*eVphq@I|BwG}<)1O#b_w#)^GVXdqRZ??qv zP)At{8`@=B4yj864&xjMt=xT2f9`XQSh+VBw?6LWSs{3!V7C$5KHx%A9iCE|EE9@t zE$RJTwyWWG_2b(5T`J&M9D_Wp5OT43{V@$^{j)H`rbgGxbM&nlXCrKM+DBGP%O0dQ zcAC+hd)<3XWBy^cL)lR;x5Pff@s;Wo4OyLd%K$l3F8O_mmpLm;1tbjnH#hxU=)Ddu z{$Gte=6&=Ue|rt2?QRt);fpIYMTQFEs>hChAZ52cbo<*sTKr5~h+z*FYmRy_GX32A zTmD29FSKF^({JX4!?ddB_S2Ty6Pup+i^iyaBPVR1V=~nDDVj#CxUI1a)Nl4z_xGG7 zZ!j&m+&bTyMEGc}4{}sJRCz`ooz&A-7a1c$_@*{%g^L?35KNR6(qWc zilCjJg|!CL!{E=J7cAK)o>1L-6vcfa$4sV~U(qnCk6{@rwz4^rIUJ6_VhGXnvWM5F zzf}5sF|yxuW|A_u$Vd6bHaLRxz~DyM>9&=3CmUr4<;kt(N~HpA2;{MwC!^?Z*knr_ zuJ9RW?7>5<@}fO!(iBnM=7*~FBFy+x*}@5AR| z`i5HCPcnR7TDcCBcH_G0a_-*QgIPFZQ*9UYfz|^-8W%wo;c${LS=u$6rUyZ5NAo^H zP%sN<1PEs~L0o?1_gfol_x74GuFjJ>DHtu*zT%rzNrGUy`)uC3gwY!VElp1tS%h@r z6JOW8Gr=BtLe##QO=Clk`LEr8y5S-sA{Du_S9cu(wI@~LD_pnnV4p_D!+0X#oRH%8 z*|-yha)@0l>hKKTlPz|Oxhd!OcC%n8i%T*;=dX!h5nBI5?Uh5L(QPlF$HKfws3O=j zU9-S9cI{nDEk0GIYydTF2sQ8lJ0lW!GGBGge9#P+65Hre@bB%EMb>RGW}e`dQlDGcrwS>oV;{IAg4;>&_REFJSNk=j+$n$|^lQ z;yTlmuH~Dq*ZTg=)3D0#5+o4w*AOVSu$B5{yxQOgRv;+HsO`=s%5fV z)2ScaI2a|Y3KiXi)_AWxg}GEET}W>4I%5C4wddCvULX;WLkyfV>sy-=JxtW^tUZ7L z5S~_pe$xK1F9|)VF;8&~PfSA|`EQ{|b5?3@?Mvy&d+K-8SW5IJ$mPkueW_a9PhZj- zohr~O`IxK8#Vkysn`K{G6fTI0x?eO2(>*i~EVkp$n3SB>o0sNBJ%$sJi#=ISIi|e5 zW4W>j*$~V{nayU4pzpq+DMR1o?*(u}(A__4^S`7Bea;&Jm6er4OY~u&cSHhPSm0xI z3669WkbtUIhI+Aba)adXA+;1|v$DpOjJ&aPmVPlJo&+`MK(l}lG(5Dj!+*Fg@bV`U z8z0S4pPC>2-`o3taM==mH17pNcrF1}eR!zuUVfUfr-~=1>eAP?XhBIhQt=Oe?6pb6 zIZvVR#{i5nABM#IDNB02u=ku8FV}Pj6A5N8`vsiyV^!W2@e_CM+9a?k{I`jLix2l5 zggqDh!o%FMx%HpkW{w{{vON(x+C!4{9JWz`lc^Due$k?Y;}V z?T-M~)cx6RlGoNyiET9#T+TmmneYt+v0%;2kmaj;x;22Ms5bnRV~<+U&f{f9-wdj; zibAoDTQmNwE0NWadd3}KJ}B;tK||WfG#FIj(Vl!N*_DWUcjKvZXIcROi@8jFz>0Sz zwsm&WXM4!g_cfP4?GXpIb?C3nZD1KENMkIFj9zr6p~;^=>toV2u>f>gMDzaJ+WU-b zaNR%=UuTWb0rAJYyq31MMIc?rew4-);Ikj1+#_!VHiDDJ*C=7~)YO!`&*39SOya{4 z;-&HN2jzEMp$aE3N8Jj2d6)!8A>ui|Qa3lZ3a@ePjtnhZVBur+^+T$>#!F3-l^CFF zwYxi;>HxiXdS=Fbbzzh_TwMm-sA`@gXKy<@2QvIYOaF9bmMx4@i{8C6J9N^tKMn1x z=KWo_#GYE!I=(noPYvIXl1`4?JP%>msW9D0bl?_6$&Qkh>=0-ZFTls0l%8HPIB1P| zb6O9;)mixa*TjgP%PTG}_F5XNsi}$20p1j>rKQWa_qU^4fZD??9ES$se-x84=30Hg zD*dmx6H-QjjSeKU%UCQHSK$)3vAS56p%oyftZaU#E2EwnaM?mepwr7|5oUE)l4oBqX6Us_U zJNgHQimlEcK`x(vcwP)R^MIdHT>I#X9fQFrEGlvzL4%poF2UDp_9pXWrBCcd20N?r z8GygsBXs~xsA%&(=iY%Ou*$&JtGv@CrnS5E8^mI?b#!1|T?=yB-3cI8IG;V);@+L5 z2ZDp5R~E<1@b!fZ?Y54O$PQUCw| diff --git a/notebooks/figures/05.01-regression-2.png b/notebooks/figures/05.01-regression-2.png index 8b190e30764f232c4aad72d0fa1fc9dd4f83180f..4940513af358a0e2e918d5f8bbf22aaf097e0705 100644 GIT binary patch literal 48059 zcmeFYg;Sf|7d6^aplG3JaCdhoR@^P6xCJd<+@TaH?yfIh+={z9w73TdQe1-Tefs<6 zoBKE1nad0$gl9;ebN1PLt+m$A$oWP|5+?dEGcg>SDQyx;bE2spn{ z%yx?me@8?yL+J&5=L$UzgqYct&c*4cw6zuHXnB;{?k^9QQKyglO+}3_p88LU(9$q- zJ4X&v>!w%0U!!uCsCN6QunK|r}Ts9*j)cftGB{l7=*KL|6x zD-+?;=*k6uzVI^OuyF#H{>hU6|1bFe;5yWbo#Ouf@=l5=1ROz$^3{;Aj}u#xGPs)) zBMGdN5`vBJ-?_n4$#a@)fmhvcgc(x(B(OXaY9BTe9e8xm>}v1zy4N0APQdfs8@f5> z2FusPp|z*B2eG!i8L%G&X}gPgNz@V4y`0iabJ)Yn%fthw@j9%b7P`>^hY67brqO>Z z+ydP6cC=q!AQvpDW3-71Tj!qo7q5y95jBKdga-lP$Y@A0D>4xf5a{UW{8v)) z!;U{PDS;B@Oe7Zg;g{Ryaf*W|A*Ei!7T3C+5z+)TdpqK2VG)v-N5wj}e0~eLc;oKs z#XsiQ^|QwRM9-giqUTGXwU|c|c-E$YEZP%KW_)6zw!M9Pco;>%alOBe)feh0E$S9A zKs_b)a8&g)FGCng1$+)f37E%%n}?`J+@oR# zh*sD9yi-?Sf5}eC9rb@m#doW5VE$G#sL!crj{m)N5_o)aGGS^@$YmF!y7Qj7*qYx6 ziW&;RjvWdgg2{boYTY;(p((a@XYK09?|9l~2>wr<(IjKHihYtXg7~HS#V4)sI^y;k zCqE^3w=f^6*sFrq3U8joj|vg2DE547CNgDaXBRb=$`Me7XwC_pO5nF;zt50U?DX-HV*M-I2IBhqdV>z{hVxa8R#E)`N5AY8C?O#m=L8L;I!f}} zz<|u|?(W}{lihTy9I9l+*FU5Mol&V$;|7_MFq*p75_{t)DCc$t8)NHUAJQTSGv~U! z9LxFxci+&!$8Oj<>v{BZEvKgIF`u#b#t(>tTAhk>1K|tXoSTLFjE+V_BO?dtQ$2rU zQefq*5N>8I;^*c+ph>WmTS*0qEiWIm{sn5wyA6D-y3(`j;Zihkqf97)5}n!%j^ zfic4dFpkn*%O}Z;ru_ZuL<(~{uc*ZX1zuz$JuS2k{`2c5>pZHD2RH(l;pPXe^RIg3L=;b9ZuxP;U zb8>Oj+MZ~!yhZC3!GsWOBTLdX4)xE{PlMjZ`{Zw5G~c#UcW9AoZEG_p5AQe&58mkw zc>PI4e_kVhVVALHVkB%-h;9m}%0qd`%k>z`ur2MUE= zH@=nee>=i~@?G{+vTe?gH})MHr^?Dvsz!5dZO`~PMx(vUW-n4}YwJ&~aytiy#*R~| z0!Er2buR>YZm1QY>4T@s(l>)sMSQ1Vh z76pjFJjSB0hN+TyA3Z!g3N-Ze^i18|Q>v=ibG#3jruSXVGF98ImXqT&5e6n@H9V-? z2NQ7u{mA8+YFW#VOW%PB|=O0G_tBe!V6h6GYQX$c7i9Rm@EN zPP`^3WdH(J_$PxUkWSEQ4Go&WrDuH<&vAeL{CUHJmIrs}=s?U%GWGMzE-hsOm*Qzx z8x?^|O+d(^qN3gIK^L1pD7Zg-SpNB0=d{&{)JmIB?dd)k+b2f%NTBA0cI410Tt@M3 zk-B3@Mijv|m0{n-g%m&&uO1jIXKnZ_EiD=G&_JO*<<*_b^8&wvsLMLO#4IL(D=I2D zd3dDQQ(;S1xpc{je8^M!O*|@z=G;qZcxxwDC!dSNP!MbymSdoY+`Je;K#EeHvD5d> zr8^MbXDlKgYoMTG{=lq(cbw7Z3HpHGlJ$eJh^?zsQj>y5Tt);;`n%HFq$N~s(0SSVXbk-vGt1gK!;V9J6+`R3dmQ5U?$|Z zZ%IzI%Wr+5C3=-7-c{*A!B!w-4ZKY+BeV7Cf(-?dH$DdW!3ELQ)`6lQesy>LN1CGX zMV9~ugGC=4UZGSPe)!)TR#vhB1*f2(z(?yqFl+_& zxpH&vbg~sUZ`?+jWKIkcRH{4GJqe!>sz}9SFyH zOI4fI2akFYy^uY@cVNZ&g#{1M8%~<^A*PxkqCh{5w%}MAJriT>3?8(=!RE=MBi6{s z$jh6X(-n)GnsdM0mKGr`ZEYelvYk0?V+${@mU!N2CN*y+CMs!~gTtizX3KhD!5oL{ z8c2TK5oZqFUq@aZOdWqN-Usd{coONF*3y(5h{qh0YnCfK#MkBJ<#zV=Tw-FAV;o(N zIyMbnIYYqVBq1Tm67_MHlMI7^+6E)9VUQ@`!*OD~S!wie9SMbmoj&~gJM{R#aJ(|! z(9i9_xuqReyURgwB|mfHr##bt^CZXJkT>ZR)149dY(p-lXQD>=V1f4`W@ec2Xn%k6 za)0KB`;sUI>5%oTEGY@eN6!qS_}CzJ3sLU^b^oF2kPF7~`|Y}x%;ok$!qpU#N|*_;T!6KTbcT}GM9$AO=al|hK4Q0~o2h!mm%s;Gsl%sv5cC;W-z01pl6-$nvA zPS-hKig|V3y*o7~aTwbm8wdfp^AeQqTz&b2Al$=SV$t<*($;>~i~cHFp*vmKawXcOv3#$x}n zV(mG}l*iWN$oc8@^`$MVzchXJmB3bKPxZQ4^9Wp9%YLA1I&yolCV!`A!Votk z>PuiY_PbHWtjx>;y-FO!*Bl*}V0{6Y2BH>pkXI!MY-eZ3$;T%{9lrr&6!ZEe8bcD& zoPG_CzdonyqTeY^Y;DW`oXw6Y%?%ll516kP$WNy_6qMI!IoH^s3%`GZn1>d2eur}8 z6uzU7^%gmIv@09+ST375-x`ap#%$7`C>mI|&CJZ0*XsgMbDwPNC+{c6%N6VXYg}nVgPT(*L%K4Mqa*gbTs=GlI`8K9c<(y9 z%(4o+ptU*}JeC^+5he=GS`_qL*@+s&Ch&OwKiDPlFHL4hf!S ziLp|XE^snqi*;dl!e__QS)O+gag~Va&4lFTTN*~4OZol0e+FcFdb6!ybCx@cqU_@P z8$sCeU)gVI83B-sWSFe%rj<46GJaZ8!vBGcabV}C`>V#G=7Y8G$0!xg%a%?+{S&2W zSFOj!>@)e`OVSrA0ly6LlaJW^u(ot~xngy_TGjI9bb1u0{^AWc^_xxiOJW)1nFIE@ zyExb1GlEUKJ$^hX)Rr=MO67&q)}f|*;o-ch+rRM7v(0n*O*`dUau}{oeMo_iMn5~S z)5_lD2;FVj%aKCqIXJK>z`2LOl(Tt3KTugQr2erZ0|WCfU&2z2yu(+T96fkz8)o== zNQX8j1faCZis$1zQ%5Z#qZ)PCqPhj3szkmA;%eO9ZvKRd`%e#O6<$#^DcqcX5&=_` z+zG?-kR|#CMk&XNT$c1bl9jnVI-$UzJ)f|ew*?vfXPB#!ABA)l`BF>QQ5J0Y0M-HX zn`zFpB_MBr_~OuTvW0Wd>zND%-#b$mTW<-zLq|s+pPB*!vk!nPSjSa|=Iy0-SCzAg zl3H3?f^G-1G2EZ9T#|P_T$#stI}b*3bT0mBHF|5P1oJ`^@%-?Wx?NAcnByHI;<2BL zKzQD)`!+!{RSs_4p&Bku0;hXUHC}>G51!Hq4w}sTB=@Rtw~6~#Cadk@@2!@Q z;-e%fFpVdg`y44NhI1H(ZtbnK60C&Hu!J(n>i5sNrxr69s&j(GJ75h>EEM%ymD3h( z5R@Rj?XPW*sD`ENbw_M9-aSTroF7JaSIaFSE>{urc#ceTIeQQgvXYY0547q(_}+-; zqSo;_Rb@_(Ky=9ZUW_noJGaE}plyB%Y!J>ZiaBgmR#U5QXlN+!c3{aaPB@(l(IH%T zdbk-e=Z>zDTyPVg5m?pIAn0T3Y`TM@poF242soF@l3*xe5oHVyn~PkLcFdPH#_}+; z<5|*HNY7Q(bff-(?-=56IKwrXlwR0PaM*+VB(f?bAy=v^2*5S& z^up?D$JE>Jl>dQCkG$=wy+a;Gs-9nl<{ECA69i+xvS_Y|*Ni~rkQI42s+VWd)zSIu zxuRMCB-K!uU^`GsgzJbXcDXVJrkSg(a{b)pe$6>>K|lPEF=-lgEcoV7j`i(V`Tz=R zopajrET>iLp#0E>%&+!nk>{5#7^5ypQ8*>_C0tS2@!{17Cc@|RUw!i_spFMQO}7-P z3t*y(F?tnE4Mvc|{HzH{)?~#b#Uj~DclGdMEh=~F2pBWxM1dSoxAP2JG@0>%8uFF& z?O2`XPO>(+-qw&&b@ddwA5;oyVWk?fn#THuk|{OK87<>)cl3wl^9p;>eeX?0 zFZDzp9Byc*iRnDRb){YuKFPLa9K*z+Q~=il5KeDzZ|9cq&$jxtFg5g}+dL%qs4taV zx18JH>Q5+Nfm%g|`%PF>RX9OIv9_~w5&%RHkTXEAWMyUFt$CEdY$vMikNxo^IpbRg zD@TRR7h}BV+drde1lFIk^nXTM`K1eAX#U(XfZjsre)Le?v~ISXUa~R@LFqBKkFoa1 z$=uS@-{a2^lv!5hAzCk?w^cUhpr*B#^NGz!OuGCXb9=JhG4}iS@0h#r$}L-h|6qb` z!HeVmb>-TgrE@m1g$C)xF2A~CsII=0C7y@xqEv_xc>)DYhjp;OAF;*2VSzupc%35U zvkswlNBLKO|ITC9(E?YhP-gQbLkODz4ZDY|2H_{QO@-K-3&;A;EVWDm`w>_PoZO6! ziRjLjF(b>{?*fy1(Rd~io@&(+Iqyx^#uri+v60vt-S~c!9d0>WA`H2LlrieG^lU{4 znMOj5y=zWcQ_gR}D-;Z|E_OEBc>eui)h!=SjYil2Fv-U^=SeP>-Pg3xY8Dg}gmwIZ zuMId>p=rflg_3O=c(sj2YRLi>m~;&d zi!_-vP$C~GJ#n#8DKWx(QL6vKeI0xdnyD}lb(tX%!STK7$odk}>e*($rhlY!zYkyA zs*+VLxL4Q?VJxjl;0ngpw5Y7K6$<049yZ<;?~e5Sh%I3Dr~|FX7;Gwds}{1#&Q`OT z{I{0JKprch@!I(F24hwsN(C8tF=Hkn%&y4jqqnK4>6FWt@8F#>a?O4V!f)qLeOIa%>zJJ(ruYYLW|5}4UZ34kI3sBj~e^^8Tg z{&$#Vg8j+SL@4Hn&+tu0|fL=s}3dRh#;#tzB;=)g{4%y4rV8D)rp@@Y;E=W zoVLa4jD=un|6mL{E$&ds1pD-wRqHp$V{r=tV*UKA&gaKft9sk#_k$0QTf?@RQmIY( zNXUv*s5FCh+8e4C;kl%~DFzkwBWrKZnZK*(%`-ZHFM2MUAChd^p(L9A^q12L_{*jT4TdNO7hR7fy-!UYv&- z_olvHt5vfVE*=+5{tcO9;WVDW#rgAMVoZc%clTM0apHWZlSR&-;$|z7I%VoX&^zkr z&%eDAVnvAjA9Du42#Az)dv_uepzp4}S*rDDV>{dciNnCa`1LuubEd^`VyMg`#NERK z-iyw`J8!UjlA_V=-iJLe`5pXCah77qf!F1nwb%l?o;AsuCb%a#hh;ocCbWRv=)((w zRom2we8tZx#}9kCFeA5=SpF06SC+yK))q>+9u}Y!=ALPI1-3ooFxv-Wqx5aa9Yw{4)P-oLc)5FHo-8Gd{e0qSs6RMgSWPhS9K)~>AYi$Hk|dm@k~&dxZs zt9}t;x)N{BF$k-vswPZW-Xs-5K<48ZLdiwMbMn}7|HUche}j)WnY7&x6kU3Wv9HsG zN0%b*{FIy@<&5wAm^;_R!ct?@E)Xw&=6a7tk*fXGFPE=i^oMCsj%S2%$K@xx$w_YV zEc&H3GNwC??kMf;kad>DX}gM1edc69sM0L|45*H%m;;KwA>3XVa*#A+S)mv+L_tXW zZ?~^fxi&?Lns9k{D-Pi;viA_LmpbtB z9Q77_{aJRaFM6S4{z;^Ec%v^mHcno3X!6Y90Ig`JuX;0k%a0(-jsJa0=_~pRoIZ-_;7woTvV~RsDF!rWkD*@sh0dUvSPklzGl9wW}>FGolcOn425~@+%)X>sdXPI76G6?T? zM^rD>{J>7ADWq%h&AyQ)icmhA+u@Oh!kYEik?m zh*SN;2PwY}luw*uf~u8T1^t@{56vQSOs?2y+_G68kxgiI;b{Gsi4rVQI#<}ClqpIM zCH76MU?Jm`?UgZ#|5|a>-94eYTZ6+$&nIW)tGF)TOilk9&`13Kk^emsal*{R>Kzck#1{9 zRvA>1vQyTl5qy4q2_%y$Oaivt>E+oEz#(aAX@Zv|yBah#yDetG!3EOLDb9jMtcKeC zVk98_Zg11R0{Q^-sbl9s6ptIf{rCk?xM&8Kwyn3$7Xz8bBvDxVmK(Od{kAowVSO`IDhr;+e<%~eXBQY@%klzO)2|Yd|TfZ%u&G~$CQ?PdP zwJK##oV_!UFvJdtudy91CBZcuv6zEtK-9qE4@1JNWNz%(*tn2Wj!Nu#y%Yxyk61@G z|09|asOCgd7ef@>5J$;dik#5YXnCi2vD&!@K?^FhHbV<)*WS@`3TfAdxt2xR8cLa0 z+*a8aGm{jmkQ7)ud#kaI)alcIj8~>7frSGC7zQThu~17#Op>#9p*9CplRec#WWJSO z*U%0?2Lb|3C70yx_>r*1&v$~_5zqNRo{qwnsZNiwCv!?oM4{on@TckTHP^wt7Ug=USKg(tb(L z1^JUL&x1X+xnP6GETjBJ9ZgPh`B%DpbX+5*!TZ{M?UwjV6VA?0{VAM`a$+P#$>cN= z4eD2vE|Frb363M5jv9ZR!jjD4#K{eXNG5lIj#%kr-N-y;Y z@~5=h^=9)Qln2Gj(}F-C6E82KA*T<^jcX_sE#>McJuNPKf*uYpU;axkaHm@D^veW5 zEU?r2hlj#vgJO0fW?iP8582wbek1BKkDs64jm4;OXBHE9J>DI#$>NCOeP>RsTQLN1 zQVJ0)NBBnwb-0RhQcD&Q9mzm^yxer-euRRh4aw@?^*i$GB_j0|ivnzfLh6L~jTSfp zrg(3DAn~cvwaKRukT_s6U<@yv%kf*z>UECPv4;Nmfwg2K+~!za+p&uzbfcGAv0k~~ z>OiC9-i6SK1@m?TM9F`I*Ln7&J7{~Fwd&-=!C|%epQa!O{UZE6ZO@C9l~tV)&-0+P zq}ly=IWJnCp@B$0@~&|u#IvccH&i>XtDH~{rMO%l5nQ*)@#?$tU$}v9oDMCgDgDzq zsalcj{%0rO8}c{q1iH@ge1N#NH5T@(#Yb5Yr3b#YcMAu{+x$&*5-mhe^_jwE4jFKl z0s&B0-)yb?Vm&-UX^)iYL=f1^9>au&wyJP9+7YiE*fj!f26IfW7Jm14w4N|bX&gOuY|D;FdovX zcEW|<*HY3NSJk|qUDV;y{VDW#G|Y#LyVAf=1YU{M3B@sH^bX@nI~t0l9^`r2KB84> zzhjAfgZ}C1xYBj46=Y@T z>LcTGHRbJhFIlN2rKkY3G&u8inia~8g1dQDF!~m+TvjKWaQ~s6a&>e_ix$n#lv-x75cLbq zYmB}TBZ4yh$HUUD-GH`Bfngn|XH&NXii#;0=06h#nx+Fx@J+>N%|)fAxq&*3-6?`o zP6l5LDv*NtPek&N;l1c+p`YHDg$bS-_$!=g)dZykD)(UPoI|08Q@&kORM`Zfx)D}{ z+vb|dkB>9cpF^>?StHwaM5dy%tYOs`=6^(VI}DS+(N$-Gfq{d5um`a@8@C^q8RD_& z%Atfnt1YfW+#7&dcd0KI#?!#U6xjHSZjk}Fw!sm|_A zcXF$5K=DCNB_)lCBMz53b;jB;VbT z5PDOp$qeWgM(E1$Gr@>%6Q9-nXo2gNr~{*r8RJag$=NUOAeKh%$HDr{;d%<~&Ax@r?` zPOqX2s(ASP41Z*Ez@HzMK`7Y$1g3hT4z*9yq|W8pcW`iYh~tBqeA~GNp(Q1u6n!<9 z*F#a~WQAdvhlbnbvgy0ha!?`SwiulxUtFg1ukg|4;oY@oJegL$d*b{{8!m<7WY@X} zbPn&1q0h&Ir#sH+%JeR*lgITyc^=1>bmiqQN;38GN(Z25KI2xhwvn|D=Og3y(nwne zhnV>I_eNej$$sUyu6og(LI^;AaA`>wP*Oo8Bru@sfI>wKr9AZH-kzuw>NL*Yd`QIi z_x<|4#Dyjrtf_&=M?EuBqJ}H;K3w{Hmnd(4iuR^lGSYfAJ6B6%6m}dJxG+QlgHh(a z__DzUk+@2!R)4K%N@@xhe>o#`hznm{!J=ILKkA4)DLSpq>|Sn#KI-sriC~gjO-YJA zLRXoU1hotz%E1YOkdGoLTo`YRnZTA=zvk8v^4uIQV{10& zbxQFxsv>Jl1XH%bRi|gsYOi8#twDl!x?zCJz|kL``M7@iM9$H9OWpPI&^49&yq^nn z4!Uk5yKcR5*W&^CGxQe^@;qymcmLI-@TqIk$ecCbJs<^?%`sOUUQ8=-khLx!YqVk) zFq#6Z2Lu-2nz&)hElTQ5r3(1^;=^iRu^EO^T{rq;K<0UUpX71&Y;I62v&p)cC1tB5 zGZ zbT2JgF_q#o**BmyjYg7t2jf*5L0qu zYnGyD{Y@M6i5+@7C~zzH@|WTqXxU>grYtXXJ-Y#pgFe`Q?EM}6bK$=L?MIdGewVKW zTsoV>GJPV$@IDQUw&3=!s|NH1*EOuW(sz+J*D8^AZS*mgndXCt9q{UQ7H<1WPhF_i zhNRs+uFY(N@{_ivQcgBQ(0-ukE9RHc%Ih^djl?DQa$|(z5*cBHwj64QhrCOHI9J++ zv0HN;YA+D@-6miwZ-P`ls+RQsEgH5v@5D#JEeW9ajm{uQz`)49TlG`UVba|q@!a^KGl;n-_zEt9&&i51> zgzRc(G%h$vNO=gTc#j>I+Z^Cay;bBuPC`lTOzsA~L#WjvU_4(bbqCSR}> z^}|KD(=qm4TdCUaVU6~*cH z)C*TtHc04J;A^08TawP;OXpF85tughywkMrC#SRO7VH^>vX6>!KBraVFQJj%*9j$Y ze(VlW#-bqbD<0EdoMWCV3kuV1PdV7LYmFV*VkW%5zpW8e(q;`LiL6y;a;a>~6%G+W zB63>4;VOHlHBN1*!^lIMJ@Ok0?PAfOPr{K3lYI^4!~hgex_EgLT`j4vK$Zb0aU67r zBB0$iX9j}ngB5w1;WeEC78;p-c_$9%5tkCn-ShC@^N^=cH0biruJ*qwe}o4-Pl@mG zi2PIblJ3(!F>IBg7p#%Ae*PDJ%BrgTDSSd-RI1!>y0o>yMc~c#4j*}@7UvzbB|G=2 zg*J`u1+iP6lT?8kl}L5j_D<&?#s{5)sm?-1CuFcpI7J;fUX$&!f&w0MtEqzb5uR6< zEY+fJLOGsidsmBOUhCk#E8%{>yLHjS4%otu?TiLd5d61PWF5}ZDk_euaoe#n#&qV7Vv?w)#9WKLIc{xpD; z!)1RzQn%A)aCBggQZ^~s(l0=NS_iI7sJAyFC)%0&GlNM4G(O3UMM#J8G?@Vx)fCWh zXm;LFguyk{?%YLV%l07h3V5Ny)E#F%rxUrUL512c`k|0pd4?Nu?Lg7V?F7}^p_f|< zc%t}SBA_hrh>5Mc#|Oe92o|}d6i2qUsOM~w0UkDyDR5&TX2x+Kd7xYJ z3i~KqI1ak9WUv_E3^r+PACa~^?d|hBx9?#or9|n$9!`_Nmho**wqlGAr0nKbmS*j# zFs32!#6Xky5cRRQc+X6WR76;IyheV2m71=_c(GT3VLx`j)8ebuQV9j?u61>l#o>d$hixPUJL{J0dnT5_ax2*u5$?KE{)wWjjDUk_7em4! zC(oCso0XJx4Q9Q+?ETlJTIG-D6fa!R$6WzH_W@MaGnTFk7T+Bfz8mJzZGOhEsHF%;B4yD+HA1L?4YK zcr6v;Yhmb=9`;$!E-{?M_EJ{ra#>-1jd@8Lho~pzq9tvACpwu9O&|Y=Q<@mLge_B< zby9W%mq{T&WMC+SZC(RI9to?C88!;o<0$YQvrBy5dKNhbYmPfaeV$BJd=zhTG((dx zW)7FE-JA_0LUycVg64SErs<_xv*CBmvii z)78P}!lZ5ZT}+o@qwwq2PI_%@#Kp#m=)K&%ROq7={}VH6y%;jxUC;w`SJ5F2o}Rsi zah#(q>a+ng`pp6BuTm;IS+imJw}-9$W1EwYlf^!_b)w^J zB8q`Zlo*|^2M8}`N0{_VneFxba>{7ym8@KGqaRCy!)VixThdgh&WJy+*o#wZoSy}E zznUy+C4nV0aBeiMKd~^gj1@|b%nowPg3gZ47;Pb#5YXdst&*}mzOIW+6v_8OPW5=x zwd(lMVlSsN(#R^Qfg7hjY-=KrB(}T)7IGd16`kvn)1-N8m^cWYpy=etGZk>ZZKlP7 zf3$cF;}S0%2@8#j;WgPf=oG{{X=Sf$61?dK=tFyZwFX50Q*05()*r4YpOiJHj(*RJ^%^)nX zFPfb{r-~{#`YvR`F5l(nOtdvL3{*cKR9~QXouR)nX#N_ACH@!(nChnBmtwd;u8+D` z0XvRUST@|=XBfo5c;~mhVbKE3`bK#h3t<9m!(Sqf?K&N+{rju=P%E|n%oEV8bijWVlH9n~Rhu1MeTYZ(a*~PZjhxMlS_YgXwxbQjY+Bq!* z1V;CL7U>#KdjEAq)dUAyiPniMjV1M#VambStg$>&yz|ChHo@ArL>esNr%_c#afVyM zezq{6(y7rB`|-Cuo&4Q9{@v?Ue!9|Ia=+dUgGO}fa0H{=>|OVU!J!b9`LfTwoaQ3$ ztrlYnaGWIRBtG`?-p%;jpd5i{(lO${pDItCSyA})-bqLF^x(_t(+3e6#y-2E5y?pB z{J@V*tYJkvc`i5j5x@N~gYHVVg?X+})ZEZMsiP)f4cja{prG%N%Kp_=#4RlS}cW3SU16u`9WGvUnM@riVK z{HfW`uWW}j$4E_}K>hkX!cC84F$ZS!SBBiZ$pc~}s8ycM$D)K=NU#M+o@!XzHcjH2 z#kV?Tf14wOnGl4AZY#!A8I&GCxG#p8B2txR$tUqa%y%vBzU#&nsM4pa_j$%Lxfel zUo#@U3Im@A{L^cZIe#0`b9$poRpo+>!-O+^i%>Nh_LjcG9ft}ra*i9ClS^$jAkUH; zVU4Y*kY`ZLkVz#8L6zuTOmSW170NueoG9ha7|-{ObB`)Jbzxr_V7L=0=vYhA#z-jc z)_C8jX`fv6>=19O6%; z0zc$#*N>E8j-<1sDez2ln3D+6d)b8b=85m$JW{pq_TP?`w)=V~iQnJi^4sv4c24aM z5`aNjVySCQhZQXeavQC~jI{9+c}cz8%f<`G^%pfUE@_vfLl6METjh9J4%HrpIO`Yf zJv_&k{d)lote$|HBCxZP>AOKP{d@Gt$!` zW@bUaQL8d&ao$kL;WT@k8518k^}kSAW$eeG3#_{(c}n%nv$9*@%Aos{J7xi>?y4P7 zmd}Pv1B1)NOL^-10SN$ZTNEO0(G(NxXWF@|Ma-=CJl4;L$39V4 z?r@JP6%&2og1Sh`+}ZN7+ik&aiF|i` z^Z+=NjM~mv7uu$dY=RFE{!Mc-_-#rC-%I zr%dn=_$7;R%iv~mfVB-56(>}I-qOYTEB5(@U(V9%R`wm85gAms5^$i#8VU}1lvwIc zrD}i^xb3SjFX7kY)D2})+^#M8vsFTNScxzZ$bEBE;2g9-{JubZ3+v?!>+ZU#YXX45 zx_Ww&Oarn0mjy9AIkD*fs*Wn6mT{sjFxS)5)8mJ}K|WY&j@9LPPY*E5ypudp$B#vL z9;fRAH-3O_Iqc>EAA5lYm^OkbA$p8R(6omzwTQ#VLynh@m>A>OZa}pHE|y^$_@pK( zL!St-x36@f;g_>{;KSLg7kwP>ded))U! zoa8ZDm7v2uskZg{6_!I+26zAcze**yUoGrYyI<9X3kK{RAiA)WBWes=z7o$cqQ{Tj z^dc|6Q!y2V`+9BJ$>j#A-ipxFBuYMY-c>^H**f9br)NrCmr9SB0dU6}`%LI}YVyWdu*sgYV7*vQ*<7`N& z7QMw_qcI01ovCs%yuEAb*=D?^<8lP>8eNUb)(U+EhNVSLyZ6)2MSQDl6XW6TMcXJ-&Mbp*$7gJDjC zHS+pS82{042(yem_V3uPmTLjJv?GWFNhEdB z#OHOcvWgjs#4@&K8NR8ay%mz!tuP49bhKX+ZH2QYo{@@EGQ4aaTkCt2y&0u0vsU*c z+=GE$$3ygaM(##;dAaw3)Q+bIdbCepzqfsRe4`RdrBV4kS(yf#lov@6MM9ffqGi|F z)+v3n3L}*2tNO6!ceNCO<`2_q#=G^O-Iiiu%r&qicVqF``{rMJUjL@c7L0tN0jn`Z zW{5!ScYwSXWOLQ*@?PzZ9s^EVG6w%&DY-Um?j-*+*0OSNxBwdfjB5P_I&19?d3v;Q z|GJ>)O|fJ;$coIn%reLWn{Vzl@VEefJ7BT-=L?6A^N>Lw4|AcK&YmiN=ca=BPx z4t_@neGv<^uLoC}Qi39Bi<2SAf zIQ!v~CRyNK^S9n!T8qJ9N(Ck)MjP;!44M>3a0hLa7c@p&i;x>jn3`Ur@@(p#EX_PI z_iPlrw^8`XH-K(RO(}eBn$nnzbYtS-6Gn;nlWeC(<@rU+pFtmyHjRxFMRF=cZP|OF znFV0{HXrsHm~{hcImVmd+9!e4iVv~MCPOXg=gsOAv29K;WI)P>i@(4hPfnlN`}+DA zi(C5@@LKY1uoW6ejx{zTYM~e1Q@F|&DgbD4A!YeT+(x7Q&X=# znsm0TO$g*1=g}*^EnZuw-U9|X|B)QVi0jJfKdts~*bkMssxFSeq{oqMLxM57vc`~) zHTcc#^D|SnFx>+*mn22a403o5mSiCIY!P({ zK217r)qGl>d7fq;I)cGi{<7W2jrYi0pT##w#BYV`Vw9-D?&@u{!!X!ER8rbT4PL==b1(5VSK3%7HIj4AY_BP<`EimAk47doN&w$djIQ*3R zmI2XS`Hzb1+STVf-y9MFhoghoFaO5S$gH#03J>iS9vx^~Tpmb*aI+>a&ujF$=Ma7k zCPtL|(X{^-=v6U;EDV1ET8wY8$bT;^ED)JlSXe+^2PF=Tju$*)7F1bmD(@zHMbI0V zt!MI?dm>HaBGQ|sKhzGYQ_J*mqW)h_enBGPe)WF7M^$w%Tp=8iYAo#W+|B6 z(`a`wLhG`_t@m0lh#=e4vS@Stp5E%ghw)BK$v@j^$fRTbKRjv8Buh7^5GOY4{@-V2 z7Y-4i0lOKi0p4_F+H;ZI3YaOQN>sN>i4!brqIF1Gtt;|@IW3a!h@Jy`qg!%sz(JWcwF5t;Et%SJzxAV<%o};>=&XtCe_u^V7U z8JK=tvP&`N9!X}=ZuWn=uccbr8$b;t`}7Od4w#RWizNq)sh(GJ+6uHdZ%Kl{U!oYwdFu>MsYXe~jOz+(Y@Po5FQrtLRbSw#j^v-;&sxLT-9e>R`xZ4?*&ou|U zh^1JZ0}U+u#5Iap|00sM_$7aTx8sG*u3N+zP8~;Hro8x22}b-eiSGMVR)r#`%?uNoovDTP=aY)z)g7KW zku9V^Yy0{6d9rUTdj}Ia6S+@RVT)686oix%6gFp?F1Y`7p6|{&uRj}1M2Fvzjz{B^ z-R9vSK9jQJwestze}s6k=XMh-K)ylm_z@T=vuV&P8JHX$9i4i>%OwF0!T9gWetkgP z&z+)ZWmwRd@XeF)25=Z4;$V-}HG5w%LqI3{-?~;nx+^q zz|x`ghGoHU6oTY3>2M&*;KfUN!_aAKdU}St8Q~kx01Hf|G+v9S<3+aEkC^-!h!GhM zD&IQv-pg<`TK^ZQhi#TgulS2z>`h?9&ach6Olgf^i0-W68RdTSI7Qn%-Qyv}!x!J!>LuTWU~Wp=u&p*Gm5U`xu23;m08R?Nc>;>z3V36O0Y) zQb_*389a84$l5Pog2l#g?$tX>_&IY^oSXe)ypXI|)ZV~?`?zrJm5zazXbuf20E+trS{^RI=yIZ5jrlc`8LJrt7U zMt$1FG%c|Qo7>$KO%ZQS!{C!K*Tiwvg$-R<$0~x<85;`QR57y>;mMnW{qm{E*YXI| z;!6!E*kU_X3MKi|B!d;|albVex^h;)XIwzI3S$Xt^Guw6hlP5N7`Nzb-dcRU)#Fi9#|vHmvrVJ>-OCq&{(%Q;;zC-g$`>yf zsSFsye%D=nVb7-AC=VqFH?1gSQeY!M=Z+7SIR^RBy3B6FOd6vsXfEGOo{eg)TpFHN9L16`BRI@6u z!Ny3;5Ym_~F5&b!+hzOA)3@j;oU1aE=c|TagCqGno_Qv#QU>b#s-Bb$d^`p%n%!bZ z0fAQ7TyXS$y^=-~!~FEQHSq8s#M$Gzxe+Yp*P}SFm(%scCD=N)96sB})*Mb>6kT56 z9}GEq=aByRMP;$5$=*HV|GjGW4c3HsoMGYITGg+Nu50_Ok@tMwo02R?TS_p_n~-^y zvkG+5n%a(NTtrpMp8KWQI`OgF%51-#wB8_$O#eSUYh3{^feSf7u{fI?%y_>aT^(P{ zW`6jkJE`lja)8GdbUhOJ^u@&xiyboN_ll1851^<9RECTUBPXZ2&8USHXa~_<;pyw} zPGEUv;3Z~vNSip+O@U`+3f6?Pv=PmH`JI%=6~IyQkE2NWT<+* zTlR)4OCr>zn(P)Y!Po9BPqMn6GR~us5K0hVWNyNn!wi%1-0Gi374hL8n%Di&e}Br} zXu-iPh$ND$wW>~iYvD!?O$N5sg)d&NJ3<0c9zCp7NO1cXw~e$_4_fFw81tWjqj@>y zk2UNV2bR5-FaYjD4o@|f-jzWK*+qwaFvDBMMLSyF$zjPd!1tg>fWbxO=H^DP{RR#_ zL1&Immyz(7eQ?yPC$S$7xI}S!?}uW%J5Q9p9+!hXwseb55jdH5erEnGn1aDzY0AS} zjsxfOoC>v#V<+-TXAgzc$Wi?7q9gFGks1fJz@NW1-wrpyMK;la6_8UajPI0u41!o_ zrOGN>yHj%-56wzkc%)zLpkCR#a{^SgnTL(={AwK#%k5P;jOFB%88CIp@BMdKk#Qfu zkl^{ZPa`9)z{qLy9RHuGDYoA;@?9keKC4mkyQrY9o36(>!bFU7vv|+u>i()9_F2w` z9-N84((A9frNTO+ksG#t`G7H@_5-jVf=;MFrNpM-W7T|i*lGP70ObI^ro&8=lRxD~ zAZT*4q&_rHx95Kv;Sv`9QIT9m1P1l=Q#g(BzBIqhop|Lrd#_?o@AKyF)alxT( zur2%Puz^n*E>P0jwQc|qAyF#fo*lEtMxcBFb0NpadpBzsBzjX(w&Yz6Cm|Xx9v&NN z01(x5v;J-n_n&YWG^rCTnZH?I;&)*DP$Nl>fjAQo`xq#PA)$}&>JTWwFqZlTqBUT` zq{ew4Ye^h1>9{fhJ*x}il4J}>opVo}gQJ8CqDXQM?e=Z>KHltGe-Q6rBfG_)RH_7- zb6ujD?10o$q<5*s%gh_LtL*6gyMPVyQkXQ2dMBxH=BNG&jKY(;cXdf4!Ydjy)vi1( z>q9J5NhrY0fu~PgYy2)+tP}DmkG1&C5TB_FQEVDD-wer`r)Mkk+Ju314!ZgMI5)!k zs?3CNiGbRjrT&?@X+4HPez@G-*e2!gxPfA^sJK|B zcp7|W>0_oNt~{u~fQiaY$m`<&&-LGP#CjZm!ot8_3vi zq>QaoO7Zd%A>l@e+>^=us+eP%~0g+aq`i{n6oXIeL z3$46TG02zU<7T-)-%LmBQ;Bou$RV-7g24O1*-RL{|I}}8k<*w+chG=n^!^27ij|-y zQ*5;j7DWL|8rAs=tmMAEF2*hUvS3A-dKK}SUM?GV)z;!I7jH%HEV^DjNS~qf)&+X;jgFG|c9o<%34Ik=(15xEX%R4Ewf*fUf)$(zGznWH z*C@C^=^nSz&IZ9I!(S6gtm3-+H_p72`&s%-)!$N860w39r=fRm!<6B(bJ3%nKb@35JaA6;R~5HlwgmMi_7y(DIm4zRa`N z1oo>{yu`zsr8kkL(T+=+{(go25t%o+&z|``PE)1CR71%fd8LV?o3(F)3Yu{EH|}@z zW4kbdZu5+^#^dIKD_{=SRj#IyA!HvJ4N1ezFo`Yg(8E$ zATYByIMhs6779?eWMKaJK*4G*bGHguTDtt7!+%`2`wTac{!}iTcQtVS8s=;|es-Wi zP9mP_!S9yifQq6ZE+$6>7bcP`Bf$Kk^8J#-_3*6RvfF)N+Jyo)5sB!sr5eR#syQ(^ zKcp?%V0|PNDJq#w6ems&GMOt;WrZy(+Av8K{zd^oB|}`6JPO|csT683kRFU`A?;_> zSa7K#iz*)^tJ z?=F5BS7t4DYnboa+jU4te=p4p=AOVf=1)@?+4;d~Mx%&yn7UDosp;`Rhx#785G`JJ zm$^eIua$tTqh`9<5!luNk>u^|bx2qzKq`R&D0Q^aFVC|v#hL3uj-7Awpz8`#^ji9m z-=BG6QN_)c5`w6;L>pUgvtMJ)6~{?t0=xe?ixN0X54Ezco8>86KCf|3!Ir+0vYL_( zr5e+K$rMcKzaKlZFpm%g&bvV}c8qdii?>bfr%fhyp+S&P95J~-?pPH}D+F3p6k;59 zWQV{`+&qb_WSJ@>hwm(XRr0T=%sIh;QT0K~8(O)BJV;{$aliY<<%y{Bx+;^DW?l1X zPt!)g!O2;FVrIwV$RFvmMdP)L{7XD>VVnd6gaw+6wY6A4^&PyfZm-sxxhUbtUO+ELB_F`i!U!bIZzYOP?yfuj zEzc<)S>2A{63Ec`7_?*fq&bM`|IiQ33mu3dtpjMK#X7SV&zn;z_bC_y9E!g$kY(;) zJh3Y>8#jT@dX>L=<*^ZV=|Ft8J4p$^IN&Eh=KG{`OI=!E>E4G_XTpve5gTFYsn3MI zT;eEAy`Ci#!-vS?g9FWxK4r17LhbvR9Xc`-j-*`9ukifFZZ`7Hg85T)?(u!&KI%HUBhcXpnYMqZfSbkC}m+a%xgj}35ArtUTn$oGTh2Lm2h zDV!^9zO1O`PlCBLI18dT*W5^oENngO`7j;8Ns)~R-VQwYBWPt|VWF92ix9F)DMn%9 zQ*mFR@gx`nt$>^4x&1`C1`ppM6?z31VC@LHodymK$$(c0{cXij$ir9OOPE>Hk%tZ* zOYFU|caU;w;L=*r#Mk|i({7Xs8%g&m!6ioDDeb?>-ld^S;RPy)soEu7$?8dDx;aCbYK(~1ipDJ3C0y_rY)M3 zDY7-XC|Xe6&ATre*DM{US{)u%uL-2S5|9+uYUHj<+`~?m$F}*@~@@=nL?Ge+x@ch%gf{M52Bb0KX;2@N8YBU z!C=Oqi2XD3?&OW%Tgg<1SR$`0!UfymmP^f=sb#26ABKORje!AK{l=wfRFGlNAc`iv z+9WxX9_{nS=S34psPdg%y|{?xVdPodKXBmKUxmny?OblEcd)7Im$Qs4OG@KQ2V(6? z2fPY?Hoz@n$;hddTa9rZadLjo0ZFK-e3?A{I4^fDjU?6Wp>i$6ZAEp_5d~Oz% zb({;1EOHVe!2nreJnP)dM(O|qiO=5$f%}A2*Fq{qnxExxKq{J8GDxO_KFE_L*sb^soY? z;?*w?bn;#fCN&pZk648yjPXYEJxGgf-qOvj?Sc(VrRN2ZIpjH)A%v4d`?^UPE1d2g zjgSt`n_sgdVPaVuOr$vfHInK1Sb&8~zf^j$ADK&VG?bGx3eG)Tqo41ST@XNXkzGv}3fd zlr^o@jBML@`?Yy~QWSdj*ZjKj0<^HoIYk>4n>+X8H(L*a^A(B|jY=e-^G2Pl7zD%i z{w(ZATXUu3kedySGW93W0*(YIxbrvhy_FSa4Jbj+s0l3dx>aWz5iCPG1;lrUt1ku zNz{nH3No>bZ=AJA2QOu8s(B*&?ucn`eTFDwUOC$zk%e*Xich+;fJk8+iH&wCwGKhx7u z1Lrz8_$FX5IX%5qzuyQU5yu<6rY0r`t5<$=-{tBSm$^>&g^s;955HR9amXsyyL&gz;h20qX^-1KPl%cBMxY9`8uB|)9Y09#~L*=Y{ z3WYP^DMkCvYLXN%tgK7xgH(z+6n8DC$iOWcXGNOsAZ}4xS5i$)K>=0(N_HJ z#&}NkorDl8I_RViKJL)<72=0w6>8fc*3C zS=2eDjmuAH%_JgP0v$Lv(wQa;HKHgSEPm@a#8@-uc{A(884y}1E6!ExdN3>J`OtcT zErIo>iT4ANXm@R_3L9TM?94l{j70ArO#3>H43thy-(_2Hoz~B3D{UOFbTez#af+3) zj}MKsO=(J#9G*c9_$u7{T*NPBx>-?m=KDUc1n`)8=+&~Kf}sO^*5w4u;ulOYqjAUv z=pVDPvXoAlGJQeGm29p=Jbn<;>_l3K1D3epP9@ouTqXJU4PK*a9u%S6q8NX`eEoA9 zl5lu!wHGs}#DK_n{X272`z0ax7x(s`gVG~(d76yu|IzeJTwPOHQTI+xR+D8*XDwZ` zq=*N~D=NUJu(+^57ES@QO8n@k|M{K3!X#*YfxV#QfRC}nM9@V`2Q>I$-up;9;6 zsFdF5@N-CiRUREpqW$>rb4TBmRnAT+-f@<)?#&@jI|huK&uf1TX@5ExL+LKQP=(GK zX6otbIeyeICru|{qxD)Yk>=W*m%Q32a>t@%>S%4!W?ukQ#bu`_->6#7N(52gKh?lM zfC&f~w1tfqCj6yIYCQgAYrtIq^e+Ii8fcLYqZqkNII&eEI#TSMp!m3Ym6nogz}k|N1%`YaaM?TU1qmx>Qwg(NyQ?f%6kuCYN#hH!CRL%QtihbM~XC+qIIzl z^;e7qw*E81Tl&KP@%^%$`B(PF8s;wr26#uIi7KV4DK6Wi1mJ0k6A$1Z2bt}6M$782 z3}k)%YHVyA2mqRN&cCKd{vZ`~2{hR#2?6B~E2@Cf+Ox_7Ll`$eUKt1Xr!oD+k_>mA zB9BHR^piAKR#COP?QNvsqO-xyH_~imqw&+J7EyQYX%Qea8`PA@ooDpT*FuQg~_%3#hR1H{For>H2_eg-sy= zP-&eloi4j|>3Z9xi`%*XT*B;52xgB2=RQEvd7}jeyn&`SbTd_@q<*KxIRo*_zjmS{ z!~Fo9Xpgk#P33W%!k(IILrNNK1tDeBy;y|^!HsN7-4bXCH{Ra=MzXgaR|J463$-Ul znQ{7DY&a^mCW}+1usW0ggE{Mjt+l#azu)lZRmsf0ad|QxW$Hp>XN^MQYHdO-Q$oEF z#x)ZPtJBDO{wL;47aK&6=|ItHCjJ$^SJ`jJjZpeFlPIE!27)}ZU{_#dBzQ3;PxCf? z%-8PU$_w3g?ymVCH$v~dEO5Es5yN`fZ0M69-o*A>)>#)9$Z{wW_ac9Pj=3HG(%!N9 zx65yo-|~~|1e^q+SCp|IuO4m-K$kXv_f!b|6|~YnQq#><1_l62ZPlR%`$Vp4mw_$b z=%*VgJ8a*DfnNwLCak$zzMPO4;M*pgH%+^(VD{?vm5<+vcVrBm{9LM~Au`$KCIYh@ zoe_y!a@lEmL&O4Hr02;dwQApNVgH7pX_ghpgoGUdCmxYBRD=?_`_ntJB;_;s$7A*` z-$Djur^+?($4nQ?;azoK)Me7+#C~Rq#l$Bh*WRQp{6i^2Z}4|`QE*G;RUuB4WWH0j z3j^1n33gk0M(33mg#}O;*aQXBi;egep`*k^;LIP~ufXc8aY}X4j*UDA4L{c@7Em=B z#f_LE1*8_zP~SSfk_@&9My$Q=_&xr(Q4F-JH&qmchE8>gYdnJ&BpsZ_Kki(JUmX_2 z-c0v^yWEJ_6s_EbtpTvZ(>Tmn70xC;8LitZ0pso|xV=F?o5K8Qy94^Q$Mr=8(_^xLpQ7m1Gcy-E4|Gy&AKv)MB9rs|2g;MNJCT+ zi=Z$`{0e6se!~B+1-Piz6ssV3rfhMILyx9YXY!Kz*=kIjX{1FHg}^fchH&*5$G4A< z+B*x&=0iO;1MBPe?1hd&qA=4sWy)IOduSk~JjHw8P?<&CV1v`sn-7S0?9y}=+)uEc zYS5Yk?TyI5?7s)F+t}%XWEAoT8?f>vulF&i=DhL7h_B{ik9NJT4pa-DTqm&}F}7*% z?lufN+d(84yd*Cy&_KW5*s1)$sK#1o%9>rIRvF+c-)~ZGELEjocp%?_z4S++!-`)ab{BBzO%Y-2-kjqE=4D%n@8B@6>Gm|T=dGx>RGe$TU-_Hu@3Dh8rA z)?`RV-Yz~-7Z-4ibVCsA-yZRTI#+BBVkmw#jdK(1F2Q6#a9tMI`58OVA7}ac=6BR zhPMdc5v0)CmQasp6Kt3@m>xWk`(jjxu`+oIZ`=LwN{Pz_aAp}|qVjSLVDtR7W2M*n zSLdq0ODV<(9+3wA(&DMnW4olN24d=fmruZhaZPzIwMF+Ud~{MFV^`PfwEiTI^=i6a zz|m^=xB`&5mr&!kpD7l~zB!w@+q0;wSg8mKC+`fzL`WBQE~sP@NXq${Y4MuMJu-i2 zbM(eCD@&*m`$Ei)ksfKIypWE9kRFH-O%7ejP?u9(K%#K})O^zgH!CSW%vL>7p0uAT zwzff`F6W=^!o;YJ`CP^F)QfJ8$IA2S2tBkrmMn`pklrF(rS6>XDV94!3HgC~^mCWkMhDjqvS{3`w2p zuKu(WZmA#;aD9NPl&Qb!hRl{q*$qor$lx>(hFo4k(lS;GpclJ)d^(s9io`n_^x$dj ztv$8H-{(7*6o_-FU)rH?>VjR(C#Iq-sq0B#yC1$g`4NNR|K#c^(G@(Lw)=w21}YXI zPie450q&`B_1zZm&JkN*d&~@p(_NshM_rn^Sx^jwSSe62)l4i@jwMZc&y}+EL6Z_q zoV?3ptjvN1?k-IdT#3}{Ma`n*k-|)nP~WdX;mD!h7r_=eMlzthk}MHv-`o8D3LdLP z!amr-5Q>=G_$m*-3NzNlCjCR;!O~Zfqn)b9&6nmjak7ieRNrOj)e#ozeGtExH%hR_|9yeKAs#JA1oX8T+N&Z%*-8HWwfPH=M~P zQ}gpu?YcAxpEg#qM>l56%$e+UBKGRs=H@M370?R>6T_943RIGp+itLL@21Cjbq?#@ zm&X2X@D^hz{rT@PvMpKZgAy7Xc7#!gcr3chv(z0P*$;$j$3d6i+)e;PT?737j;Xtq z!_rH~e7mY?CPqg4?a?$ZkJPt))Amgd-={+blEQ*415P}f<@4Kyl*3>99jkF17m9nj z)yAwo&W_t3^xXC4N-5=Wm1GIbhU~a$CSRc5TwE1=n|pts6YU3yev?)ZU?L|^QJ`Yp zzNPn#ETNHLZ^YitYt!O)u;frNX1+>%y_F%p|M$o+qoHf%=#-*?MMln0N(FkON#Odn zhKNp-S2up3PEd@K5l}X7hcu$%HsG3%HJa0|rfi@6aLhWnUn5V(^bgj|@H}qd_?k($ z>&#}Z$K(4^m%neXLII-GuL6`cTZz83KN zfa)74SN8q%P^UQsg#1E8Gst}IH%Xnqk`BlzK_1J@!Nt2Dp)WBtc>t{ls9kiJzvTSx z@QOS(BJDS;6p(11zpNXPc-*P-5qY0pFc#ZJ>2^^&5Vf~%*0}2S)fNDE3wSw}lxj2& zX{o*(H$`>&IblDP+gRo)J9<0D^XRqofAP7d)R^ZP%#a~IO0Z`PMsy!ssIbbCUU;h| zBxd9+FsTjq-dqPJNrR>sW76#ChCIzlms~cnhY#_?ubvdaX^_sT8lYZ%+2 zhrqPEvIUn=HMXMl(-@yC1jdm9b$WZ=)_U8BV#k)qlRMhNZ?l##q-rm_B}j(=<#(|8 z_onO4$6BzZ$i?<#f9gn(D!86tv><^)9uhOtc3N$v548dj8LsEMn4P)vEw4F(=LpBo zo}^bQvOwkq?&%QzOHs#b)4CzBi3QIVBq{*a{7%>kYvk*{vUCE*i>MSGcXfOP?3k&k z_5Iha=%h}jRMUIhD?(StT(v99LM|C!F9pncSf%;7!TQLwAjP=bv{^X9O1gvd-53Bi zI}jVexVIczB=jr$lsiIZ#}MhXjR-6FIi@kR6TIb#`>3$EEAO07NeM>b5M}o?s#rN| z)R3OPztQNmNcUfToZ_hwv`asvSI z+w%Efu5lhcz5I%jwGbzURJcf^>}h)n9QG$|XFqeteX4ZzK%xsC-e18O4zr&?b10>x zgf2@btIef!bP2eY;6J*Q7ATymeWFIdK>b1T;5sgGbhOIJ)blq%-ad&3i*qrPm#`$g zeP+xF!$lecHly8KTDG3pvrWo(GY1OY(s^h>nf9*h-LzR(GmI@&JY$6@?>%|zM7zWP z8U;vqXRt)Y%PtD0YHe+gsdt8k#MA=3$GpAp9!8 zBd!FpX8d<>ZJmwGzPs=oTKBu98Xa$Ik`Ax|6kz6$qeHp5w<|4`z*08zoHBE5v-9Z@ zr4|i=cNcsq$4#gk=7m;l)R^@;mL2xYPwF^qzTmuHZ9Lfk2CB~9UU3>r!BS7JCZuvT zdJsh;Z)e9cU!`{LWR~TX#!Q_<(d5Qbh^N)1%g5IuH2ycRDnRZX)&Te?7U_bwny^L+I zLij4cCDI=UlytR=jH0m;2G~JD?JcO42WxH@Hgq%NZLZ;U#UW{Ke*(q%2h8+5{2UGZ zXq3Y5k5+{`S*d5!dpQl2!)g7+a{Wvoyk4gIdTgUVx%waYv5D1MuRi>h31x6`s))%$ zn&t!yc@NV&7rol!i|;EcBQ)2>_Mq3m5etp^9khT(NA2X~R9;o}W$Bx<5}Aj@yO6i} zFs8?+@PfKUuL%FE_g7SVZX{ohmveQioc^=OW^&Uen>4gt%O?Pwpu0rFW+-|XPg}mIfPKI~@AgRG7N)+s6kf>vD zOI_o_jOZ{BgH)pa{b?7tuj_i;NgsUOap|8W?{BL5d4Is4Z2RE~PuoA zr@;`o5DDHM73*lOfgd>#V~?xmz&BcvkEXIl4sOM_-Tfpk9ezuU>C$xtWcB9LZcOG& zC61UpwesML0a|lXi#&GJ{OKlZ5H)hPGyY|+ZiDxjaX6z0{91ype|%}fo1OQthK#WW z944S&aJL)gj8$ZSP}S}6TPA-NH-T+0al>=mVCZRNl6uVD*9gSy&j}9y9bkzF&C_{ zCyQK$D@RwCtGIY5jDmE^Rr45d$IDuqeRwpk2Nffk9<#rSHO{~W)%}xUD+DRZ0$eXf zP{@U)NZ}!-6mFx_xyN-|-1gaqxFqn$f>yva%Y|NGWw&ne(66uCLqh)!a{+wJ0C@)h z77jq8>80)~C5j)s{QYx8O%0o_&%;Huk(72Ud7y}toOR_RzHl|4$GX!(<9lFl+kW@? zN-%@)c+=tceW8NKBe%^_=A5A7pM}vy8Efv8PYV@D;qA!*3dv_~z3QX$x z>8)(^)BNQd@!q@P2m7%i)F6M5wx1!)|y-Br(qURkp?(-Mm09NK&qOlN;7^|+oE!bICaLL7Rr?$369%<^h z?%~|TEjvXyZS*>LJ~i(6;|XHcBN3$U+kZJ)a5;!%Eq*wB;0#5FL zISd`#aKQEjP#;WY;T2A-ks80%n1u>H+{+Qy#q5n(e63en@t}YBRfdZO{S?32#@{zQ z?9z=b<~&&1?lKMOBtxRbjWA{>0LH*6x>7EMgkL)GV~zouQ}mL*N()t>9Q-pqJ&t8z z#+0QP`_Jlga4OE$$KVKA8T~A@d6OkAhL(cI&s&JGv9Zf5D?t{PK(?QY@wY^frzAL@ zuMrVu5*Z)PdfueV6H3vSDc}?t4H-1816eD8g*5w7>F=1`a$h}kPwkByXRN$tq8v#u zr_2QeV_0(7*Y5FVJoPK_=IBkX+3~yqJd2dN70DY9%!s*kyMH$x%eRlHMK=C3Z4dKJ zH)E?lnR3~D4>eIv{@KD$5`{bum3OF1Ma|$11CDz$p|iC2F%2B*EwEl}cu}cm?5wPv z0Eb%n`*SR+H_eiF1lV!_^F;3S8$Kj|MdT``f~PVfP0f#Cr#~*zQ2R|F^NW@j`TZ-^ zb=Ph?Zf_za{+G?AM&H1c_X2;^OcPqQHVf?=w3H)qeAuUR_h8qa)UiT^)qj99^wgNA zYN>xk8_87CN(X=8UTtGj(tbImdmu-JrI|dthhd$LX=No;R47fQt+&Nm&t?*M&?wzL zXoD6Jk?RatkU*)dmzFP)C_R4 z2{cOl6rljkIhPLDT`K}&`8B~N?<5Bx>_4&k*E{ygUFxeXV}IibYxaNG$x(t}36+_bVUBp#W^ zU>f8*sSBGNmu#!b#*IPPQ2i21jZhg2du!2{^|Ep%zp?W353j9}W$nZ%7Jrb9Q_KJd z3+4bDSg-pIwXXWWnTKbn-lK=3?ku59bfO)--{XveL& zGD1ms3Py$WHr+c3Y7+*nnEPOhOb#-NKrYfc@9T~e)v9?wF@M`y%>6x#A=(Ha!9eW* z_DvJh(`S)PDRb$XL9VsY6Od#B4lh&RN9(d@+-dTS``5;Uvel9tSFg9}p?=|ShGX%A^>6R(Y1Ee2PRYtT&ZDEu(CQ# zge!j8&0ljH_55EG>ivAuC0|+gF91o$DhgK!xM$J)$PAp(jgc*$ZaW=jfZaMBHG1&? zDnO!2<}VW)z8{IT*aQvZ@4_jbn)}m4FWXorQo~vfS5DiT9+uNogsD+6jW+jg{Z_zqlnhK0mdL86(B*xpuH3t|G zVoLhB3g(Q((OIi)h$^_sy69`7t5Gwg`!rMW>j!tI&XLebP^+t(Wy=kxUS*UFc}s>k znRBB2f*|}5Kh&0QxsyU!v<4wf!P14d%I1;ls6-zUbY_+*_=;y=$kQQ@$Tb)BO-v}8 z*;FWmvwX_lfUSPDaAQV(kxOkmm0Qds)4s2|RPMAsPx%JR z)=2)dM}J>@o3;2z_9Sn68WPLb!0>XISXe;DkCIZt_|BKbvt4s+mAh+jM@L3S12WGI zs$0YO5iMpahQDFWAeg-q06b#DyzYCXnz5=%1y4X07WBSP1%YCqwwa+*5uz=%)?)$D z7s*mbuckhK0#gN$h;@E`4i2?tI#g!d2=F@q8ltD?S5U$MXPfD}nP_jI7@G?FHX}#I zl&CiI`OWxQ=%yaHSNGK}); zH@8zEPKPHa0FIcXWrZt42;qr{(7|S!UC|S68;dbLi9I~pii+b%^*a>*a%666Tpq*X zc|-4WHkO^+K$cW%zd}WCZ8I$#yC-gKQ~#>GV%U0h+~sAEI7Lkbku!cU_>vSPqP~9Z zk~e$VBX*Y_Vj$hFyLx%2SVlA8@JF!9>E5+HJn{Kf3zy&NoHEa4RQl7pia z2zg}N=UX3wA-DXci*w08GbpVqzZY;=^cM%y&GJ|T z&VGvWyt)(0{J-z`D9EllYFdS4kNcF@UT_0Nq`_wFn!JGg_P{f|H5L-qo=V$U%9dQ|h-JCV|2!L+)zw~!(0q2Zb zn`{Vbipd+yM&m=PSqgX|u_g*!RMA~`&IjMbOvr0P(*uOW9qblFt@T4bzSk`TBnPR6 zhY2(Or%Q+dctr$CF?lE^hA=V$?eT9c*}6Pqt9N5%p4Y$N>NrLQHUBKK=&Y08AAh#I znBthff9!{#6e71Ta{BNziHu=VO@i0G37$tAeiCiKL0Puu+&)0~L9b(_v``hf2dC`< z#&UM>Z!hX6-{;kY<8kBG*%%ub5GW`@@&u6WNb@sG>up-!+X@U--Yv8ivi7hROqx6Q z3xCYRxYJDG5Mt{UA>o#+$+xK@gidHvBbCsTs9VJxku(Y zqD}S2Zy(wCHscr<9Ssd>zK(z9i_hdp=aAa@dUt<(=izgrtj=|zuAW+?rMo!OVx^^= zPwStNAHlJELmY0(*4Qi(@S6!J)N5}IYoz%z`wMAxbZ1A!=!4V7Fs-fg8d}l_Q+mg7 z(KlS^tY6I=nf}C4kuOw1RT?8RsJHVbqRn9m-2R*K@WY$Y#XI8hnJUE8juRdv!)q{ zV5tk0ETCQj|10HEr7=J!Zf<{VyKZHBdA(8+SN+yMpITN~pKYzF7P#r@ z1f9lX_9>0z#cn|^F*K4PA4zmNXVe2y2$NqOtnmLX#Qfk*!ubY z0xK$382niYZ$w^nC2lNN>JXKFw~`}k49pAz`6f+8l`4WyJVh)(SXxP)DNQFD^WA&Y zw=(|xi%}F2Y96H}m8GDFO!>HZ<4MxP3W6`edVXg-C0;wcv=lx-bcrjD{!=c7Tyj&0 z%BO~Jd#I9la;9DB!yFtS*!Ea{b4eDr2wU*%yhJ~~{^(w?r`gfOZwGR<>R;&+t3>RAKdD>+zMee-A!S6Z)7Kd+st zXB?@U+nHrk?m$--8}wkGivWywsAJ*c$5z)*Tw=a9PTuE-ScR39uRqNL9R{!6(D%3c z$uFxxG8&jb4>M2-(6(uE=#9{iv19<5MsBX32$}Ev0aL3~pcuJWu5wE;W1Mug*PRPR z9FoZ5)`~{i;&2zJ|4U1I4QpzpJC9sc)zurQ2DOsa8=M?m%5Y9)d*=&NxugvLe z&15e06bD%4?CHgf+`?!Jbk*`C4?|>&T4DO)eFq@}QXzkAobzv)JYAJ#$RO`Vi#Djl z6N*YLw@;mnKSx3IxMU?_Qa2n8M6_~CEC{t5t;una7V5JOPE26fHnkp( zr;coa;+1OS6=D{FnIor!3#Q-^Nu&#DNf3VPlJ-bmm^1$;{*G`l(dp)^RUaAVPdSj^ zg+jYhSO%v0(cAqPXfW-;eq6d;In_xMzX-;xtQI-~GH4E+{@?rZx+I`*B^LJndU<*2 zSk@=IV@mBZX4??bxmDIW`~&tbIVqaAk+eAKXjG*H-X%RtkN@j4m#{Oj!-8Z1tA!qF zg=yn~=(pFN9n`Swsx-T;OK_6_X>4r+@I#ZQjAW8eh4vYO2!Y9oiOvqMyJVf;m#TJ! z`Cq6f&2hAnf$;3wQ)t=tDqcTj$ar|T3uw`igT%Dfley!2-&@$fq75FEwhRx&&FLqC zq$$MnoRxXcaocfB9?Gb_7n9Uyedi|^KO~f}^*fG^RTN9~Rjc_D6l%lF%uFGJ<#Bmv zVDFl$W0}=fk{`DA(=UsMl?hWk*LjnhTo@|;>zJCx?;8!AC&>Lc<65(}f z2hZzNCk~A=R}~gE`STYSY8m(ECBBtj#>;H~m69!!R$xL12F8&}R}w`QgyWE^EvEaOwZ2!ZWlVqqb4!-Xwg ziz>hDS^{0B!nYMkGbf#Y%g-22lki)*-^hVjEmd1>27Q&-LcBu+GSed~^O#5z<7v7i zcea^e8kr3~zAq!vw{ae1AoRD;5(JfN?>Q$8f?t<&G#Q1K!sg$E@F$JZ8#3fOZ^fJDmG3u}My- zWq?ji2QIQ(a0p_`wbs&3z{u9d{uk@5;#Hx+4bRsf;MCHZJl6;bVaao2&YyO!|8AOi z)Sp?<>dHOS4g+{gFkiK>w9G3k+(LC2v^+7<_Q|vxUR@8`gs+yvxyy6QeGXP}(Iq7% zbj|*2b z-s3+X8aH<#-b)O`!CUC?^0;}YH(i~by+tZ|rK$6_#XpoJhZb+B4}~h8kC39FSw74k zN|q$!M8)%}NK_{ZTX|VJuQM;MEC0Kut6-G5KlGW_^ACvfgT3lA(NoU43e(q%Gps#B zw80uwyBE3U65^BH%5tVZ{B@8GiV)xc7bqE$3x$*xP^RKOPl>QfUy>PT!uW_C$;cc} zhpRQiY1|{?H1sVmv~(}^>*FW1K3qP2VI^^2GgDJ(%JsN6RDDtDaw$z2UlsNLEm2R3 zsfY{a$%~FBKu1setr`=Xm_YxhpkOeBeBk~)j3l)L&zCH;?U9GsY`XCR z_~3w!X!tY#NG)iULCy@wGW45!*5q}Jh?w;xr!!r1LvUQg6qgfk6o>vMOQv1BbhmFc zSq_hYEmakeY0toy-Q0iiQLgpHl6#JdsrIG~x8M|E3XqsRqlbL7smxH-23-JIfWr3(HSgyQ-^fuY zY_*E$@|0U?I#tn?3{t5dGPgteF0jJ&4G0j2#7N|lQ$KDBa&ybfu!nsk^k(FQM=lc8 z!1y4Kf*P?c@=U3y)0rZ`R`VQ>tMXt`dSVk2H)QyIh4c0Wr<5hWLJ=P?w}LnhzKm%s zW@z)9$ok+?q=G4W)5*@QGvF~K=wan`KL@L=8n-jk?sZnuJ>;D9&%v1{TD@3WQ(9sVV9Al?Yr|Ri%_IIG!Y=D{=f;8L3ouX}{54jImBKVawsvFg{m*rvA)ClG?!% zxlTh|F$3p7ePP{%o^W&Q=xr|tL9ag77qqY4_AN3vMx4X!eCoyD2#hiQaNS_^5xWys zlg(g??w1-saLwG^@VKD-}Q+$ z(1MF0N#B0oq#LFDSKqJ<6>M^qR8^(AZY3@mxp@8NW6%-wyfp9rq2Bmeuw1uUW)rc4SrK&@&GOgU^(IdfK9rMXU z>3!=F2T~!Ca;|dDj~}EdBYi-4JtA=?*uv$rtzn1uan{R7)_y}8Q?m3{sH-IaRb59jHB3p7&!H`mn1%(8=JpiWDf#L;aXMv3%TfF`DhRE=cDy}pgrAU6$_{rTVH<5 zhld3OaP?W?DdFO=gf!(;I$6Helm4pbqV&Az%U46+zG&rOCEpM!N)u>|t}6}a!)e$n z>487fCj~zp_jQBvlJ%TA@%g$Lj2LYw^)9!!r(>{w4NzkswJSa!t?QpM{&DdYQm^OU z!qnkV9u+K(`@Q0=6j0&=aE@-Hb20yw6P!ep@nKW}?s(Oy~p86%H#YT8*g#yklm zt8+FyfW=5JA|UydSNKyeWxCo$aX~uEp$L(6i`F|e?$`kD(l1a&qSmaxTZ)7GGv_JW)%EUc|ORA z$D$ZfR`j{wPFwEfbi#{J21gj|4Q=m0XU5_M&AdZZ)X}vJ(PU z0RSbF1}nhOM&(SUbkuiHb9%U9_$`e$vQa-)Ldq|G0JzxEu}ZMHuB61K>s1?Z1=3qA ze}FiHsAm4{TP}!T$u_>(HpBqe1D1|OW{BrvJ@v_~Q(dcefH?zXY$a&$+}+*#&8bvX z`!?+7-ax+hT?uM_qP42qzL==!S^N&${}AE!QWhLAgxx!NXd~AZ9qQc^<0DHsw zqLwQ5Ur_wVs9r0kj-(pv^@B8QWdxQnChTv7GVMx(qz3I~T8Re#(>Vd*k3*l)3FW-s2>&4b zlo8A+#6}!l@l-TcnmA0>1Or9fsaHeLaqop}X&6y>xCWCnghpC5!)NxphXU5=#>^90 z-OYsU7okxS1Dm3ps8NYNnW2OnM_=CHf5OdIMw3Cx3PE|vn!P=kNEL+$=G*?s-DdtM z(9ZMwj*0mkxt)Wf0`-3NcoVl7|7!);`HPGy4CX&97!|TjdDPSqL#ZXG8yHNlq_SAp zy75dBV!IIxr#m8}JIoq>v4pTNs8G0DegC4@v8g_SjVW5yhL4NO!G-+I>3M-g#H0gD zYA9{(q+vWm)QYGSbxQEt--)l52zV!3duJEs0${YZD-y}bPZ=WV!e$aV$VgdJQw9k_ zBqHcSj5#&sDfNR9GAy68HeI3-WR30ByOYhb9WwFEyEr)&&k)p;3%I@x{p>7gSLbMp zG({ikm62D_4|)v1p5ZY#?x-pCP5(BC*=iU9PN?}R1x0NYWa-u&db8?wATb1++tApE z9;8l*;VL|IwE3tCy}WGb*G|=(#AC-qX2e!p@rqEas4f!4m?xC6oQk-wpFuc|IDB?6 z--`T_pXXBc+3{5;ZgI8KtuxF7WwW4HnqSX&yo>kgPo#pc)QOy>)>CZ`r(-N@r=2Qc z4+#k$bmOxbF$eOI8q_R=?qV?h)z>!n)h z`dgLGo*>Gj`nRFoD3>8pE}>q6;$`&p4igcLy5(TF}H#Z9M}xh-r0f?x~j#2vwS zWj?G433bVVFRvqBmudy2j=C;^x#6?my`;WlU$WAbkt0Gs`Vrh`xKP6Fg0K;nFR__6 zN+Xhvx)NX=L-4LUt>)MY3L{;8~Q?CyfCM+!A)XwUrGVa@&FF%&JAdr%iKlW|jQ?&sYV)9l? zI;y`qFQ%+VHW^4#07@SqLUsVR%>J`8NBD+;ev>mUctwp57n<3nuO(DfLH#@8lmcaI z`~j-z)^PH4c0PZ4jI;bVHnX;FZZ|%A8??GG+s!M(l`cWyE-4CsW($}Di}3Kg5%Rbe zQc%`gi8;N6e>2e5;b*wRo93754x9-z_(yM(`ZxsNLN@}Pemuwi2gk}Wi7c13@UQMX zCzq@psE&Mgy^8*IoX_6RhYn-l&zM=@FQ$*36?`n=NmTd+MG>4Tp_x8C-<#-vtFfS| z)a%O9N3mGYh)Pnck0j{zQjtFSs91)=|97GeLlR{INjcr;{U}!-lxTa1s$U0hj&$7B zb@zsCGh>vbPlA*VT@~i$Y#dk)M+v3#W&EtH8$`umm%z`-AB^wTAx4O*li3;L@s7jx z((p|7neNl@Eipw2*)g$d6t2Ox5iAtEvl5QVFwK%?Ph{BsB1+p>&#t*H^rrb2Ps&hygNQ#|?GH77{JU*1qpLccW>xPSpJ>F$tx!CxpsxB-VL;A@it34H zutn-0tv~rWp`b|kMTv8E+8H9686fz&U2Ke7XBjPaEz^L6uuPHg1%ZZ&Q_XiWjm--O zTPwfshCb*G2BU;n)UO;+yeJq>+(L5#D2cr#->Vv*H2f;iUcMU8u*z3J*y+v;#v&Ytce_kseM zl^|%TnX!${6G`(mY#ysuVI@Tt%P|gaLv`9`pbZu6%rwxNQlW$Mvxbm+AQ+>j0 zv%e`!@k<*>P=QnEV?itx%uHxte8y|{Qs)F`o~2|Zp=@kMCQs?|(Yhyh2P zgs$1;Jb*tye-P{_*j>Q)@HZs+^jXmPVL-;5@}~LkvhB31iyNs~HklfL#X-^^-s8|M z@iqL9B7I|UC@B#U_5qWGTFbVij&MnyHT#2?haB=Q5_OJ)`CQb16RWO48%|Kr)o@Fe zSsxbaD3uW@N~GJ>8m}LRblWQR*2PK`y;x?ilXlH0A=>d^F3#BAXOf?rW<>KSb8KgR zUEPUjPjj*~_+4>B=uhehBWc)X)(~>X33C{ioa^&XRF`=^YZMHXoU`_-8s6U=A-H|& z%*J$OK^~3Dzl6J5o6@=rv89`$g!1=h=hG5mW4;XeqGb9`t&>aA`|1eK`;=Rt9!BeM zHcnox=ev91Tv<}XMR&$?QBz4@G&VUI$O26!RTxns$XRe4o2J;95a3BCW5_i5Qm6A# z)PH7@pYt9U8+$^+lxS*Hdswx!<;Q(AW|1XExt*6;AN(~Mk}la!Tr#G!(Mj$-Y<5^< zP$y3dh=f#)`Jb$FCU{2Ks=m~AcEJlxR@<2w!(kd;^c2?jcAc#N$AHRe8^7mLo6y5SEdcQ} z8!K_Tp5B+c@k80cbzXI{VG=Z=5XV%N@~Q@0i5Jq(@#xXTIXF-hv7#gBsc7xpw8;)< zssgewNB^1HdvJW`Dqzgeq&dxJc}i@wCW|PJ+ZP{EF00cZ-H@lOLPz%rL5ZO_vF_B( zxrUpQgTG^3Hj2l3D`$NMSO0oj6ho4L-5`$vcDS=r?NM{;A9ORqg*cCkt4m*PI7#?A zo+i|WS_UZxz30Ow`b&z9pGmu}`+-rni`ERhwo3?IU+ntCNBhbdT^_9BeY9x{-Riz> zx_jyo-zhvJXgz%4*wMx*M`TK%v4C4{S@XHIBv8H829xX^*VwFbB5~|TIyIpS;Qatn zdWUxm`n~TBH6KTGC9;(C9yTo19J4gduYIlg_r@Fb^d8H$&8{EHslRf1D+7~<^}qLr_6?$YHpn}RJiH+`RHu{5Sm}M7>qoWDv&FkR?v z`*V+k!=3jiUpI)al5QxC+POYbebGYV`}DWC_d7igfW^gVg0v$U^O*2TlU#J0gKlub zGqs5l=@rLija9{YWNWIqk1BHm`!q44Pz|N&B3Y@ZJ}VO#8ZsbjxZ(z16{hOvTln~V zecwFXv3u!g_l2upfs+51`sj-k4J!O+_IJCV9BNM7V$$xce6~li;AWBalE`!3dUpl; zXnlf#7JhdeREX}JAT6u9z=)y-I*xrI~Ix#v5(%kW>5g|6B?o*Vom%BS3O)#2lZk_}( zWX?UD;R@G=<$T1&0m%%-AlFt=X_w449VU9tsoP1zd#{*qCqv>stH|&L$LITUc&U8+ zAB6QKVhNjsc?z7b5x0H`q^=!h5ae|sS*YbUEch27HFPOJJb#OcA|pzaK81|@jAfj5 z^r|;HAi%invfv zjc?Js96p+d+`fREK^B@fPK)qo2^^rYtd{R0oUa@8UVs?%TTJp@_>NT?C#^M~J^OyHd8ZJk4(!^PE$((cdM=ooweq{Nh>D zhn^iPVJ(b&w%1TptrmRl4sBMIZ>DCbq1#hfPbpxli~K>zKpf;9|MI z_ZG{*ZFJrjgE;};k7e6B@&P7fJ(|d+ZYQU_dX^5!l;r%CNR|WlYm(1zdSYJ6fkF>* ze}d*`vJxrbDd{^I5uPuRYM~#IK0GMa(EHO`lz&Fc+}xZxh52N>G7A(ZjB8wUpW2xG zg1g#HyI+tbZ-%Bc-?q<|tPS3{hh*DVjX!}e>Nf<%79b>=N9r&xIlSgV5g#x)Vf6EX ztuv^PY}*uPv5`MopIF&P9bli!4*ap}!*8|g*e3dMTrR1@##3JuXuic5O3C8y*wE%F z7|vMF_{X76j31tikQh+Z+jOm~j`WE#Z||7VrZ&k_Sb>GeXgF2K^beLb@>YLPC?Bh@ zIq6z7X+U!KU!5vJOxf6VRj)V9s->|eAa_RROc>x}&4@h=H&2vr-hJ)^8n_!%sozJ< zeghz{ps;Y13%i5k(Inkx3_ByxFhV{TM8k~c=9i3cCbj-0#Dg?}K&nvJISjkzw&OD{ z^$Eum2mNb;(>#*#E3d7bAtOv9omLwoKDm0sjwd_2yTfn?CU|#c&7JFD;O1`Z@b8M7A57|5HL@OX>{`q^3z+=Y%F|Yeqr~YoK&b+bDuK9y z>hJhLstVwOq@uN90Xn`aEgvm=#jWc|p%uK`!hLZqH*^-l{(;|N>on2$2j0&0U$DXU>*hU5~!9EIyDXVrMuA`!sD{&gr=z!L5D2&*4zqfbbkK5xC3|o zkn@@Nok5I_XsBDt;_blf)c(s%^C$Smpv~HjdH^?a1!6z_ld|*x+&SJ#KPz;WYj8uI^sggPi zHY_H9ppDIN=-ikW=!O9_f|ZpO1V5Z~!5418=XD*HJ7x|nnDHbdOG?;e$LJDd+3KZL zn2?1MMQ2z(<2tb*3!;Wuz4I7)U6;~MiXv*<{!g@O>s*T0^NPc}H4V&Bm*j^y^65!t zP@#Ve#dO5JB(>oOvhb@t;mW$YUfr_!r*1Rea^D1S$OS~T-sYV&)I0Bf2>crDd0v7{ z=!A{TA%}^QkXe$c%`mu(a8p}#5-5~}R}`glGj)U&mQSvVVV3wy3X~`j%91SU>6mn< z{1tSOGM(*=vESMbTg@pSoG-_EPqJGY5D-Y`q$NaEqIxM?Ttupu5fmtdC3WfA3NM^1 zIMUJ|rlnD2%jmq1ds)7DS-v*lo=mB4XgO#YEYjB(=S;}TruWO);VLa;NRU0c$7xOU zI27z>rw?HYNBj~w2y;2vSoFAiAtI&h)N(Q1_+BZJJ|OKD`nG9#A65jP3eD{O_Hf8! zcY3HFHoGd8Z(9cZH2-!}G*&q6s{LI)dNDZUTvj=J*w1GGbY-1)bW5p{5iU40?9;PS zh$`7X*3SMkBr*MiIoyNP?~NljW(IXp+GPaH-7aN^$7HPB{nr+v_ z6d_RnCNd;({S`2UJT+5SOW_t__WYJaoU+yK#I#xfB+DuPhgF*|f}=!;lN#EESOv zWu-x*5Wea8mYr{R?xSs9XnZ*+2PguXL_s)%wpT|qepL1yWV6$C<<6=-zhicUy`D{yV}3N_z65tPH`gWDn?4xX06RjKqBYj;TfBm!AKt3RDZ(m zp%!nV325a-nk;tI7w4TJ1OQ=n_wax!bk<;0aQ3P$1T)_>@3qG=&pU#@FqNw(fT%B* z^e#m?;NlAsNgI3k&y)2=${sGcg|hlzsr)#;*J|Epu9OsUf1lbkB?cZ%&myrvS3E?n z=r4sv!WY@2Ws;iiXIPscKM@T8=m~m#4Gj%w0b-qB-ZU*B2&WNi62*}puH%qgv`%j^ zdG1z*r(eloJ>Ma1 zNH7ABfb&E)Am4$3X6~odH`hn5g6xc5`?lMww`%N$D56wxP%!EOjW!yNWvj}aNgb{W z#%u@F7X73!da@XmQpciS8`9jCJlZK=~-QGoxRhGqN5I_0T9xAs`r5IGTpvv z6|2e~TUc9DnU$5g+H>>9DF$4K&o0?H>>Y`4d1v_KItqt`X8SiC5NY6k-%T{X`)xXZ zm?Oy-fe`i3P2&e|2cn00+O<7-cZ?@dlT^KSz zOa20i$r~^%yLgz}*hnU+)KBxXKa4Z-BL^3kgq+;qi_8FhdH`Ab`XWjw32u6pRhLC| z4a-asIAx780?sfCbeWkfDNb8$y08we;+s*f>CUe;H9GGsPaMAfNWSOf{0n;FX*fAZ z50@eo9l2;4ZLs^(Hzm`xh;jB8i|r*Zi+{-d;kCE=Wt{{&?%u6UcDk{82gL9wv9Yl& zL1IAcM>W!r;ftM=$j7ZnS^)2M(H8}Du!q~o!^|*J_sO*uh$lIe>sYN3&%`(P5GX@j z>IQ6#sd?3Dum;pmCg{h+Dms_xVLJDZ#9j%!?ofXR+Qi=hETH2JUkAnxZ-6bbs_Ju_ zTC(sS<=Cz?UOOhIgSn%Y9I}k&0{$BTR1HoOw0g3gSetU>N}?ut+nd9meyu1DsF3$Qd4Dy$lToA zmJ}`U-O$G*XOC1JY_{+FbWiH=A3v6kUAI6>X82yq{3y*!xl9tDS$a`DX}6kujEm1{ zhY(CE0NJwCv47iQKn4N$I;WSHM+$jdG%Xp-jS_x{qW@PA!XoWh%cjf6=5ow|yqRf8bR7#*LE32;61iQ5@trK$NyL4GW!$RXALx00ubiy1Fm-_xIUv++k0Jj}U)R zipYb(t;8JQfqhI#>=DOi4sdXEWz8S8{&6OnR`U(jx6LW&ZFj=8nHf_f7E{^zAo6M$!uOF{Kk=f;a`8h+-3kT^6j0tB zz|1IEt7TgffTVSOG3{O4PjZ89FwNP#fFjjO8N#Zw^Jkp-t&3S+Kq|b*d@V#0T%VvI zcG0gMr$HLqwUkt2jCy|IVFc9eRa6hVRSs|KXRn-POAtz494-#eF5WvMfI12Q2JAP_ z*GoxrarR*G{Rryto@cfJV!mBnU2i{Y#Lz0M$>_5^EO-yr|BJiWdpn!%bhcj_vs^s*}FFQ(p5wgfkGKqKIZT=Ee-)O$=Ikrx^{)AGHZdX~2kcW38~z2l}(|)hUiJik~4Dne4wvV-sp9!p`^+sKMFU{NrQ}oN*cc-Nd82D z@{UMLY1JQcL*d+FGdqK`;%1;NW<6DwF=tsrWQ7=f=W}M?;~hM(ZVwpPSREkox!(%E z4+bg7aXXIp(U-#&`Y?hv^2yEr0Fq_v;_{|3pW>4L` z1Hazh-d^Hw?^l5vb$5{Ykeuh`vbOc}o|jUPBfkahF)knk3`JZM3;Pl);HvU2V$;6< zguHa!<~6fdb3~7qyL)0t2zrh6th0Q1&`+<_kj!A%u2)xy{GN~V=^&58taYs&kjp#S z{{~4)0^-c{#X_y*wx5HaS$?Tkov=t|_S!yoAD((5!&3!dQMSfCPC`k(j^b6F%-=D7 z^V1Tq-+@7oO-$;}QFM>|Y&!f5KnNP-{-^%AxsX#sGD`_S3DC4b z`Ij>~F7r<0ytY1zck_$uhxZ4EY?EyI|9BAxmZLUxwxKa^4T;Uf5^$n0XkzXxZeOm#( z+lP{KW1q-g`S3M;(UAWA`Ni7aA;2YV>vh1_{?@l-expv1U6g|&7{{26?@?xY7)Ji) zRP0w+G3Q)`36yVMgzd~DJUsj@D96ERQnPN?IPf>mPE03#cjUvk_+(Ih#+-rZRh( z=Z?}zXDTv+Hw?(=x;8K9=QCzUVMcO#W{?Dmg3OC8F6Xjy)w_$25(ZFf&_u0q<(|+@#s@{ zUl}5RAk9bNx`gO`c%JG{1mQv#B(;m)0%`C8)8r+mR9T5nV}DwJQ*tY-kq0|5+9L<;I#!!Yzn$$Om<+&st7mO3Q5K`QKShwH4Pc^y}Yt z>9e@Wm1}s4j5fQm|9;OfNimmMx_lhTLJ5y_|fAULLtPU!oFgq~rU%Itim&ll{$cT#( z0N8@=)38S1#8!XUa&t8jB-}X+xpx39!@T_b<%7nH=tGV`<6ui6yopK>44lrJ1EOVhE>w3t<`~vTVZtX9}8(k&$?Sg0sE1 zw+2pOMr&)@q4#B@=dSkR3j6&Ed)-09F7RhHG&4h!8`Eg@zUx}pSI3e^aIm#?ZC4q} z7a)!i-CIxQEGnV}&7CjhBn>5x`%DGp1T7m{(w`?Ohn_)TIRhN|2eEnP+Q8_ncjV=5 zOpr1%_y}7K+L*s#V2CI&F%gVRJxBj+T3%RL9jE|3BYJIqAJ%)P@$(HKl z4PgubPi4cOQ|-IV`fv=FIlHHzI$N6nNOtQ@V=Hu!XK~=A%UnAk{`0z>(CL-NJ;n}V zw{ZPw5H-PnT^79hOWe|C6fV^L_y(liO{X14hI@WLIIyv4K34++96XDjZ^3wg=b^`9 z<5c5yXpb~CKbR>j`YYq*pdfO`1r~A>Q~wGH_*QJHmbyPrd$`?vypCF0QbD~?2?Vgh zs-dlF|NA<_=T@VAk+f2vBjV`n{BL}`6BMVEH&Z=V$KjA4(Dh7E!r1ca)P&l*n!Cbx zHC~dFle2M1{US${VJ`jVwX1zQ`R$Gfm=$sWM&o*KBrOo)0SS%UMuO=TIJCsVXBjxh z>+BFX&Ea_|r9Ae3kLboFw+ilF0qt5FlbefuAmC;DaCdonwHofQ)P~q{e_pzJc>{p? z$Ch*J-E6A~$R;W8wxp`6s&w||AF4b4_r!w38R9`#yRG+@|CuUBr`?zzOPFcpju`ixl4>Nlg)c`gqWCQ{6)kArCj;hQtl;frEFo2Y83me)#Yq)(Xrx zMA5M(P@b{8JQ`Sv2E|+1*V~j3m9_K=?bIFC= zf3tfZhjp&n0h%PA_bqRT1d^&M{47^w5G0}S4W8CMo|a?mf`Wp&?VO}5VEoWuZq#!X zEdnP16F65hu$Dj*&ANG;r7DlV^<}1N#jzERA6f)>b!K?gb2}tyLD6gpV|!;kBLVKZ z#ruoe?d|Pl_Jbzi zP5|5Gvc3Mco-0H5gr)=U|jCe6nf6bS>X;ck&cL!cvUUCZw71z|f18JjXY_=nRF+fD>IxkO7GIiKqmBN^% z`;9pRj9x`cgP3OS+`1+H7_kKtspNi;*4ARPkz31l%t17AqaI--tO)N`}@}W2M0_^gFAbB zvUhiP1;xdzb0Rm#*H>40CnxquPi_OzNMtsyt~6|FwWG#IM$*9@AxVP=f=S=9t(md0 z1SoGwDJUkFmoxYU1kP`7ivVN3UWZLcNND@ydaTLz%8Hn9nnIMLt!?_RU(clV zFDq}oTj^fMLHlfKEgc+`!6O52K4yQmZ=7dhX1*yILt4_OF(!gmibq0MZR2B{8IQHw@j<-6bFlT|?*Dyx;l$ zg7fPkE|`7IUbEKPPu$P_+$%y^QTh!UDH@X;u*fh!-i-)lq;i5Q=Fy@EX-oM#lvX4juR97k+Bh?*R^u3QqR3xVmS?VVhMn?Oy8ob(G)< z#ZFV!&C*{&JW2uE1wF)R#*WZsBmaFPCx-u>b!+|84I7-=qIGJDTwDMhK)5 zqDDaw8vmrBfiDTq@Qe?bn81rUE+BbkhHdd7ihnAiOem- zliF}8DT#ChOwtk;Fxsl1V8Serh!S1GJJOik1A&seKY~YI6mab)yemrFv&O}1>p7Ms zesNSN-3C&C*&o8?oSq3e#CSUC6D>E)>o|ed2i#Ue0}Iypl0*;MD4sIMq4PTF)~NK^ z%o&VGiNJkZfiKgNDhW|yASEBrfz{5rhe+h?*u<0xj%o*#3>4!ljG`2JyA+$Ll;F#6 zR^TBT(ZBfIvY7CO8Uy|xD9lVe$BJ~)vhMI0t^8wT?l)p7g#cgypRToq_aok|UptW( zzTZ&yEdz$pV?`EYCR|qLlFdkU!2a|uM)KBV%p!-La@s1@z?fZ7=B(<6&z)-6(FRMTxALw$^ z|2rwk=V}ttEv}tFW;`(*9osXJHgAD;{NXW_kKbV)g2FusEhe@!m5+Y8!HFDsxMsqw%_@h^Nind><7K&Td#`Wit?G zyXjjOLhF4bt`&Fpy~$b4zp}KKupL6y9zM=Q=NI4A%WdHIn{aauXfi8YGRx1N>4BqN z(4H|Hr@7uJOk3;bBZ_Os0V7!kd3V#N440!)H87WEY|n(Re!~HV`*mcn5Y`aUE@7zOhxLKOYN6w#l1vW7Ud5h#;j6Tw-8p0 zdADlj(tPxxt-p8P(m3g@?=X(Cah>#5@q;e4w?OIj z0rS2YsexG;KC_Rh=htmDtvyn6bP+DN?sz~x$bmP?s&Exh;35Sko1BF{J;xNHbSbe` zCTUU12KOZjW;#6&mnCCM8T9GC!L`-CaB6b~?Z|vCq>dVrUe7ffde5$ii?F@-|hZ{Z4YQ>n?a+M4N!)<%^nRww`xJR%@@pZHayZRk~m!9@298Kh*#`?qp4N72~ny`40wO2DA9!t zNm^QLpB;hxaA#4R_28F513|VIi8PLu=TXRl}>rc!VN+f4tLh`~`p9i<~L6o>oVAGX%>7&W$+{gI17j3XQ zYnZ4_+V(?t)@Z+=hP~FK_oYqu7GSnH2PlD;Z{!FhyPPt(7r#O(QVvRfPwyr7 zFGQo4O>3X2326%`@a1j0;uwl9stVj}jTsQ=3U--~n+Y0Irwni0iva7jnw*Ik5tw(g zf#ip@1ptHEpaiO>z~t$IjEK!(zQP-LS3TC-6}5A}1V<-M#Wj=1kl6qfN*54Z7*0g&>3)0g+aRoO_y9 z+Y^k{c=)m-n}EyzznUX`I$Vq>m|HEQBln`e9X$$)`S z131^fT%Wf&rUf2HtUEI=^R(KoWhGy*HQh$)#&)NBs%(~_PJ-KdPG`}i?5FuFA*Rs> z=W6^VNxk3Q2I7c6sw|4=L6LpbAreM0RqPl+rXLs2p9B@$`bm^AFE9p}38R4gW|ih< zLY#&QyhdFn7PE`TA1j?Z2*j=duZP+HDZy)?1U}kCi2=mOwxo|taB2_q3}a<1w->ZUq>o3>j$04aTEioYz3*m2M@$nc^c6r z1O7M6W*Mf&jVMFaTPcpRc6&8zzGP*Kd|9$%uYT&3r@pD1T;$zdtYWKnQ#)(yE;#6p z{NBMseoQf@ah0`kpX0r|{RseAJ#CB1mh_rYh@vFP2do%CC01rQ>wtY~zMA#!E(DVH zT$&lVj}84wy< zGOai8SS4l^f-*2O;f9|HPAubge%l1__hZmdr!%H*rc1h;U3bU2-wLBsA)7~(f z*{Ql|sQQAzKiGde=+2VVUHB7l{RRrL4}5$SagB-ZYc$M3<1hvwJ#FMMlyfVu?%|tA zF6u#V%d_>XRX&8BSsT=>Vn4*RYhzyWONlo}et#RtoiV)X>>x~6tSNyY$*0-)6V zWr1GasCFt(4KU+&DHj`_QdW>1ZY>^{3)sWHtg6(pZVNaYokECHKb-rDqMvyCIYnkPiG=cFu`!DfjexY9v` zM_(JwxFvYn;7LRl+tmX|&kIhr%XA5Y*$3YI8iK9i!5$MirxBm21)Zh!gf%Z8BsNUa z=l}p`mA!zLL?owUOG#P6!l!(v$d#@zZ>#xs=EUBhGSZWiut4`@k>!vuYTI6bUc%yK z!o(YaM|@*x?Rr4I#;~twgsV?@KZBX%ah=pnj~kH~vTQz3)Ms9%*?nAqx9DmVWT-!{ zqEY{zSD(|RG)0A|f7dQ0-JTca$0|E=jtgM>4M~n16+nKClFP>~adn&h>e|4R#{}}n zMr3AV;}!1E99U!>PDUvnNZ&t^Wsu=gu=%AjZ@pRogz55V2w)WT2J3b*|991d`>0t} zVpPiZ)5^oSHIwaMbCM)kFxo5hu+wow(l?xzE31-Mz0VFm^XOYTIqMVY&)b;K*fqGT zU9Kk)77pEXg84dHjyMT;0Pt({1vNy;4IZ-Z>cp_xRiIj2K$Kcu2Nyyjl(csR*Vfji z5Yqyl`yjp`S5nTELpAC4R=?60b@9)V`aylnifbk`et6q@tek{Njj6j>6C*P`tL?v0 zfjAFdWMUC9GW$2NnJ~PqtWjSsSpaSs^IfsG z*U*^n}WUr-}tFL;y&L1ves93_k028}9Z*zPO43*Y#DM-N@e?A}#L zN%B`aTQm1Lsr#cuc58FdpCMN_Re(E}v(73X@JXb6EiZ$36XxrV*Y6jU*75B@6hEfg zUQYz;hXa{|22s3t>3C>JuK6C4n>f{l9@3r61HU>FsK)}zZcZj8t0vI-wp^XH%Id8* z|2}0nUWT@z^(KGf*Abx}+51nnJn0qZI2Bqz9?M!jdM1-N03J1uWPTrj@11|t9zg!V zZk>~5IJ+%cn8h~SXIHn#P_ssVk2T8ir0XXbkRRu1(u{*KP*&~jS6aGjc;g7+9Y{jU zQ0b(vPA=+#2NI>81sm*AR$;RzL|2$V*lQ?)?gvh7PFmwl9HEg`M3bP5E|+VA8uk_0 zqg_z^u?9-6Gj+Kltx#5f7}1Sxxl0Rj`p1D>BZ3K7gmJ?9E`(M03{(d*!QhOl!XgVN z?~EtI;2pr;>pla>7Tw9y$&I`)V~he39#Vl9BQ;!HGkV-YpsVvkqSpN-3Qz&4+Kx#; zq1L4|HU=SlV9RFBWSIv5o5WJ95*}4fVwRR?L)*?~!+P~HXpJ7^g&+g>Pov36n+Q@X z+FP;VbTlJut3>d1qlfAv@hI3i)4+D6QI~DtB`;y=a{@S~PCj_=u)IoxFdN7aw(3if zH+yyHWstC61yi9iV!{Z*D)YuKk{2e}60J8bS7)2E7u~r`(XGHv&8fR+nqM>h? zi?q-=HpjA-IZB4MW^A)2$)&771*_VY=c`NlDPKBCi;7;5nNCy17g}7M1O>GZY2CjV zhHH2Np;eBB5g>cV;tFh2qe8|wQIk4#a_O(v7%TGNaXNr#Svc=1{P|q`sD`B z%tnrZ5u=Bp1;X=b8>w1@k&UlDSm{?%ftBv+QCg~Dsk*&dWxKMOXyiosSae_i2rIzMJ8|WUv%AbTFDSiPlAy17PN+4o9i5P+0Gg7uv z@C}-iT~+zao=mWKw%>WVpy1+_fg?_BO8{6A_f0!cyaM?WJF0J}EkqYbM9>L&CGvE! z;=7Hf=~;0F+e}gOf&Fh~2FINzC6Zr}cr@^xk4do4=DCMid@~n*fmDB2(M6?6m~byO z5D<3Id5thJ70K-_tw{ID-r2t&H2rvSb!D7p&VS7OJClj^K~Wvz=#gjXO}=mt_&G4U z1sO;=q}}RQ>@B6bH@^yGX>p5f&Wh!i?L*{vm1@xyZba6vb@cUDm2Yh6ljeSC){Zvl ziZ#?e4>yiacCa<`Cz#pmtIr!x{=0S~wRl#7XRsg1o3qK}QZeUo<@IA0=Y z&!qP)DY@u}dF?3Uz(ORtE$4k1{b%70{KO-Ek&wC|oLTlf0g=n;bDQ|Fe2%<)+lmKk z97z^1CH(^5E-3@DBUz|QEu*7MJrk>~8LlpuP4kfe&b+$UD{M%-hd|J=lSSp%j9@Up zh$+)WtD$lx1X5WJr`0SDjgYap)_)vVEmoiIwkXy6R=#G71 zr8@1Z*7uI_WjV6&{1(hKFWOJeaY~LQ$>dAulwZs8x`c(>Xva`nE}JlBGiB+6Aa*ie zQKnX@jw{(agq+$xw}%t}7_lij^rMK80x~X(U55^lHjTAeX2_-W5^DExVremC-_0^& z$n@h|lDs75s`A{9%B+Zd`X+u~%svzb)2NG5ybOU$`7igAZs6h@4*M}f#7-As%|aI; z&L`*5>z0b)*%qzATQ6$s;Ofjt1hxFg?-o8`rCR;LBowbQ#0i{ z_SE556o5?v9K{bA+M%}U1}3m?o?R&tQ1tW~bGYhTczHE%bMT~35~%9;RyiAN@Em1C zt>V5)95uha=_f%Gk8Mi(x0uIPH7?S7nXW}bL1E@vC(PmOxXJ!0)o3h3Fs6b8w4X{e zTv041G`#FatU~fdTglb-~Qt|U8RF$g8wgl$rJE@k28v%$h z&ZJcB2uRD17BwVK=bHx?6s%^T{2&B>znvD)-kza_sb#b_b3+#eX@U&xqNsaS&gJpl zgCpVPdceTy_J^Z44yndEZqAoDzxc*QQJO=G0xC^q$CPn4F%Ho znQLK<+(KcKx-Cl)dH<5 zO(%paV1)ZXF4mT&H&$G#hud~;u0bk^H_P`fE2kYf43rkG>E0iW*}3Fn`xQbJhTs_+ zXW_G(99m#w+BVWK`mSQ&55x;$d|+_7$XfPLSMKq!a<$Xmd9e-;uP$C2?U|_LeyU!A zDewcnS<40p%?BOuQvn`W-1=ApU^`ou-3HpDu0JZtE8n_2NJY8-5_wC=5vRPLg9y!sPHM~89Zl~S0 z=tNFFu$Y{^v+CGrl}2aiyJ3?da!oPZY<6e-iurnxw(#cy6OZoa9^#KTecOhoNkr{6 z_C5nno?8ix+6^Czl0)5*MYylH?xpCzriB$)k!K3^{vCoFG_A2wtGcEhjV!2=brhml zSLT}aE?=bx>NCax$^w{8J#Bc^J;2A!|<(k7&I(t&hlVwi{r$Uz07fA zKss3y?zx#*h;3lN;ZedyB-7+xXA}U7&of}JTt7DSC7gN!b%6GOxgKkML%AZE15bEU z(%I6x5x!E4*0ndjy^JQYj86I<3e_#6rc0ig1NTtTZ#hk3>Jg`#XGB2aIauQr_KAyg z0Ml%lHmkJ`;wgbU2SrA@$Ug>nIOm2ISU{fP1hMO zvf`rwh=7ZfrKQ(h^#b+l3-Emlb`Geg2Jw(Vr($gwF&sm8?!)bp&_|pyoZq!f+|{TE z^-7s&i2_xb6S?j3j%e#6B`Rj|ZjeB!c(Oy*?KSAAc%7EQccx)$=YqvgTlH>T8^?{gv-X}&?Q)Y#uKe@F z;E?GXW$62)^<8!Tg408!pFDO0N)8hJd%F9s0$O?gxBu1a*T{UoDK|st4T`+3>ta3bIIboDuK9JB+K-C2$a}C>C5FQwE)I-w9oO8 z)zDxbrp_8~%y62EXhsqj118UzRh8zNPf(QLf&$Gs5P(#0W{?`USA|=p-Nc3!6kCQW zPDQ4C&CyQo6Z@S)&=wx}hP9|f!ko3Iz5Q`pDl4YOHdDkg@>S_QzzSesV&<0Yr|Gh` zpX8M=HrP23PpglDQ>`w#ezvflzEYNhIZkmPnN`s zlIQetUq_XC9ae3Z?olvq6k8a6@gDU%R=emFb7K>L^*Q2}jOs!xw^P)3XQD+{iO z14t2?=OVd@c%nRAkDNDncvB9*0dl2 zvp!1?!S(Cm?m|eoQQNP$@&>q&d#s=efCwXvnFEizvsR@QoNX2p>FDXv5=PC+2ZX6+ z%uE*3Sf=&gEO-u|Nk8xPWNl)SGOJM?5O`icqCaRUJ-;EGX4>s}Pn2B3_+7%5s&BTr zg?!E5anw&;18{%iYU1{jEeLD8Oz`+yuYhYHc!CFwECmtb@*Ib^i>5n5K7%dJccb;TnT}qOrKGo>~e)S2EqNS zQ7yWB{^_DsjtY1&|3CmBe2V0JWh+!J@#VpvQ64VXd&EZAIWqy zBpP}U{_!a;nr+?t4NGDyr<&y1m2kF5FzJ?t5HvEbWv8M$(z8uPEfQ!(>5zXBZ+wRW zV%J!C7qx90n)|aS{3~JwmeltXFN{=S?rRNZ!e&0-gu0XgM|=Z;Tdrg?_?b86l)DGe zFTRzIM@!uJl184MzW`ePv}Ktgvp7}tRZ{Sg8l%-*cinQC{Aw%+(+3a7Z&Mr&v!r!6N7aZ>f1;%p-2D6LvRzNSaLz~+q_9f*<9a*R#dRp4!f@ zHdQ%%i>6%hBH}g^o1}N_(s-A<%it7LY|F+=MENcD7ycCg>kI}qk>?S}BVTL}S;~0! z(a9$juGWmv>#>ee|EC8VGn|?5&(xEyUxKVRssZ1%b0?)oA&w|q5ap@1Pq$Y2Clbv$ z#Z^vzvsz|Z!doa6CpW3df8Exp_<(h&z9DJ!0wKzPR-vY*W|}*_M(tvsM_z6~(&|Yr4pyu`Zfe67z6VOZoP%^kJ8Y(2`hqtJqwd_I>)>MW6F19rE_=02n~a7)Bu0v!I% zp(KT#&UQ#1{d{ZXQX4^Jc2$EKce!?I_cb?7T6aOtC9`aKGHFqtVni93&`nUdy^0&a zhjZ8vJisrm9}CJv>MiFH)NNX<=YJMh{a3!Ms~=^IHtkuv#bEg$+a;G1%9rc)?za`L zA>FQAet9@u)1lsK%cqx8`=xdKE!u`SvMVQ#p8xuZzaW!eb`tgUr@-(R7`X=4Jor;T zORgm&Z^f!9ch>t;-x14T&yxTaVJ#x)u?W8Cd--Wo$d3(Ao-foC4pn9*K+VOCtFZAV zpup;@x!Jxe`I5aEo9<-r-OGft8PJ4H{3M3k7>3a@m3gpdC zrjOJstRKA|P$Dw%uYw5hCB-Qf&%4T_$TLb-waV7RVQZtqWxu&FIAakOJ|v(wI-HTQ zjIB4=RmiVPXsE{?2~JcY$@RNTMEoVRLl~Ei)BP1e4Euuq25CZ5?=x8h-EzaQ?^Ov@ zWjJj{QAmwDcB_nuzKY;X-bddNRWRxWAk6MOxGzK_6$z}iC#-HQgH3kF(ELe5#hD3h z7@L|Gop>VQm-eE>`TTN}|FW^QhWY*`VzEB2^5bP{9EI|xer32e|bZ>)*dW~+Y>H*>YMeo6!vf&Bf6cxOy9)qn~*@$rtC-s zhw*0h%@BA=+UNDH={A}1t0n<;q*`|80gi^Jf8fOb&osSUK(}K1pPWDJX$3$h5HHUp z+7A@OUyI*DfCzsDN`uCB%s7sSGX*S_Zr#v%=8wPg{IPKgW2>pFtJ}zc-3ocBbs>NX zO~I;fz#4i00_U1XuiAKm7qLjoXmd}^-E#Tu@V)reL2V}_RdIlm+dJ4EYQ8gLHJ^c! z`#%UY9o5^`tVOr0_k|c|u>iZtaRnPQ16}yxLtS0nr76D9)uumlX$d)&eBV>XOj=k= zDmM68HG7Rczx`-&A=$jP-9d`46o7??*a^*@^K7(#}M?nro(=&N`g?{bz^R5*L= zP$ZaaaYN6#a}rwJwwZ4w+D)|~9V0}T!ur!ldl1$>paLLQ`lh3~h*tMDN}-&}dcX-#m2C5C z%!@2lpz9GoyhW>$izkA>^KfQK5sjK7Znyu#PH~AsERp&gek*4itniE4$sK@_okF5fAw~d=~R8Wichni60 zEHz$)h~MQc8+P2laFzyZ7WC+V=yv-uiuso3Rhuul?3?qc8*x?5#9X@suve!r?|2o( zyLg$u_;#4|uXUf=^J_``ypM2o4bdbge+^bTo@`QAW`Jt)A69+9|oe#3t<-!Mmca?@Ja+doD5zFRE%J0~Q{W?BR@X_*GI@})F^vxZ> ziqA~nzI$wmCgW(oxj@elaIPCvg5p36PqME?OSH?=U&AVfA2ty_J-%W&IdR%_iio$G z=Z1Pwgh;?EOtWL;J+wKPzQ?C9{HI1>T|;7|Vl!EM9A`%S8c?#VcGrN<*xFAL22F=N zyf1gun-v6YT>*uPl-MEyE^DU|wtGEUHbECL>#>-Z6P8-h+kp>R3H$u>Lo$Nx&+L^K z*Rb;&)TjM5em$n_AH%RoAE?ab1#E4T#T)sq`ECyDrX2dD>y>q~))rXZk<|&4g}PX_ z$tKtE_t)@ae34esD2R$ zTKN&}MC83$VYcrL=|}i_NhZOMJB-hS|8bLUK%Xb~Ttc_h+l7m?oJ2H!r zn0O~KV_wLM)8yw z{ar%3^O63#mU8M@waj85;RB!r(i##XZ8Hu@p!?EoQAn6DF@@Vd57)bOmb{PdHiV>k z4MPicx=15chHJw6jPpCtz5LvtFeG1L(uR3n7DMNbrmr7sPF3*pA8NIk zlPT{9=x)aLcu_OSKV6FtLl_=qcTzN)?!U$M;Hd!^ggnR?TWs=O?!KiYQOjRkGDaQ6 zLr?(pPA*{L`Kg>&JG{iyty5ixb!WF$L7wXlKd2KnfdMvU99%hPd=-!Aa?6~S6O{X7 zg82~n%i#ef9b8~;477UE+VwFysm4 zgjiWcayWstTTfM>mrX%bnF+r#8ZV6HPLJ^9l+tI7r?9XX>H08j7A7+lkuWx%`DW>{ zHufJ85~`PBuBU!rihB%6F#X^`mOvkHVTdM_e$@$F6{`hN+S*p_^2nW!$ zr?~)?jcxvvTN{2)K0;*Rv8T3VR&H_bWubPaL05wvz&8v&p{}+1H)gnt5GttrG7#ga zWoQ_1p-}_v1I+OFh@<`>r{6cxMHlE$H$QNiKX$CGx+VThcnw%+B6!ge;`+_vY=nL8ltYKW|{>!(g0hYoY_32wWW{u>`}L&s~|cCq`+Tyag<4B8@90(<5@ zv=4n(1q|#AC)DV#7X=^>oaWk7VIK2!1{*L9eXB!WR-V*y7IOK=FF)Purk}~@8a#P{ zePZwsEI+o@+lfu@cS!)qUVyCpTlE9^fRXo=h@4O$6hfZ1AZ=tHUq|x8t4d}(Kt*Ui zzp1JF9b5NAmmdIQ2V#Oipba6FVdLz^xQGZ;SN#Dte6KmOe{1`=k;k0zyW5W72C`Ay zxIVu6XY5;0WnY>XzX{l)t!=(m154&6a1_Wn6eb^p^hFG|b}m=7p1# z-Zoy7hjVa~z8I1!Dc2(wu!6Tvw3|EDJ{lVZq+_$?HaeLN_Z8lgqpt`fx8nVN7|jj- zeGUJ7O|}lrQasG-=;#otl=9eYKY>yDo#B0?5vHYf(jHAnHK5|>9}%(pffp8=7__c1 z{qN6H&_#cOUaMz(W@hI3b+41YNULi=b=SMtw|sw;6xXHR9={r=Cyl~U=wEc8Bc3#7 zKngKYLrx{l`etMVzudrq5i}S-d5*NvU0?dJdHm))Aa3(Ey5w~wxsa}XE}4NC&rmX6 zisrTQfzR65n?+3yZtlL5r{j}k^eFRM9ld$UX)ZweRIF}YSa_oi2xy81rC6)18*znd zDu5cpdF78LA!b>T!bE(t{fbvKF3y z%|8@iL=KZ^VqU;Ho_CdQ3)gS%-Jt5X*YsMf9AIUVXbhYiq^aibpZ!H6n#uj|5Bw9d zjn^(kmN~Upo!3UQm14iGiwt}ogXV8It?8%s%y5CeCowBUE8)~rN5{r~6cEsDkXwxH zSwx5a+5UJ)NnF62x;ZMyJ0Xo6@tZT-in)oxqQYROnPyEQ&m{zuTLjQ+B2R0W>D z`&JlFt-dx*p$^fsCTr2`hv$-#pYn8H|Jp_P(566C*9hZqZtprXk1q=*@kW_*3Kizw$)oSk~?_9+%~$Ao_6D&!lw(BU`sZY zIB^5F(C3FN*!a_;=+<_M;o6>+2+vD?QEjFQ?k>#y`r-F#U#`B5$_+qUvUtRvm>Ts| z1-j&;z=W`R*wY9_!FrbdC!$Y+BF9b~ueWa2s2%*E&;L4n_lBc|Z1<}CK|ee0S8N^} z)}QfKD55sP`zG)Ts~+Km361>BwkW>B1x+HZ?K65*>X~qx;p{~vj5cRvHID}6OER}P zWlYcdOcNJ>-m5(oQpQ(T*iy7lV#A6%EjFPCh%>!u#jWGV`&N@mV~nfnDz2~^|3I5z zbXqR3%*U?TX0m93PrpKAvql3df^zaob@^kh@@`5`eUiqZDu9^yo2mu@&?m_)ylYYC zU$+*}=v7@HbsrLL!^wfW`x}I{(C9#E_4|V9QDh_HO1lDM9Uw?k@ttu?k@ysxf?1rEqeg>lI zY-{ZNQt8*Q({8Z?ZLVb>K7EAG6mX3uQW74Gd%6+Uq+!$*LW@PtlwO~F^)O3saZ_(W z#w!p*`nnzb>FiaaZ9pd%m9cSg{zy~fIC%SR>J_;@&2ba?TjFxNi&AR|CLBoTbx7u9bZI6(^8|%iTzS5`b(Z+_KcesfrwKQ( z=|@>W@WbHOumtdSn5Ctq+uC_Q%r|XHta#V{z=WRe{qNas?Vm9$uJ0d={R14@F9%k@ zZPH3gSjlGfM^gu%^#((HcscF>@w8>bwemt|V1nWG8e4{UKrh&AMejqAPS8^1<0u!S9ySag={2WHg}D8`KY2#VOupB-Ac>@{!bm_WG<{=p z(VQXRifHFmo<5?ZyOCeq(|Wlz)T=1c(Z$SEwi3AV5qzOy%6>ymng}sDE1ay1f-P zcq$H(qm1Opr)l<)#7~lE&K)VngYXN_e3W2SoL8? zbB5cR2hJzg1DoCjhm%yC&D*me(#HBXm&>Y;Nj35FUoF1`bl!@O9d*6vvptsir?fj8dBo`VPuXyH9v;Tfy#K;rD;La13&X&7J>Ko5MvYb;@CvW6M z(n3F|O)dL8LFM}?=yS#TPE=uLS54VDf7#9`mdIZV5Brbo9PqGf5_EjO$LY$l>cg2k zW}Z)ib7|I0KcQX#0pdPTZ)1c8t)8S=vEbD)bziQ2E#5hpKu4+)Tdy zu*1s_x;a%;I;oZbbiA=cbHLFPK-;<`XW_t$0!h<7;xevYAZ40yN7DN=sOo67LwKi- z*oRf6hotmMDGZ6N@%Rzk)MM|4^JFvL@h9%-ABGDuCBzP4!k*=H(Il&)*-%o&bLR#R zP^8Gg6@PYTD{8LceqYm`2As_5xY2JBERTM zta?vY=q-p;?vW?(IHvY6hF!3BNhnNbnUFZb5Q@@Ho-XJ?*H>>wa^BgGub9x{c9D~8 zufm|7+r@>vLi3kXJ3SaR2OcNJB(Lx3>3Hm9i!gIF@sS3chQwEAXIwfoh*oVixBv}; zU4+RJO9+ui0t%Xg3;+V@6*Im$JO3;${y@iMult|8t&9dY0)Ul^whiTFNu#WU8`SDd zMNP@?tpy1SPwmO%d}}h(ght|s{9`B6J6$_p>#=<6UI4v~RYWa#z7)N$yd6{W{{v2v z#4YI45`EO5_O^?XZ}V#PxuO|cYYGkN{x`wyZcZ?aHDOCMekP_NW0}8SYj}SF^?L56 zUl}%^6v`rs&D#9?uiZ`O8>L};Z=)!PNKMUAzUh3U1!V6@IWBtpFYS7ijn&a@hvK%K z7FE9o>3sN0bSd3HmUqD8{WVNaU^M?r%FXm5a_^n@U?Jy?xENQwskwPt=7u;|BBXn3 zGluNJ**$dEvN+|JvCfD9W^t0nG0A9Fsjgm!PYUPtvC(huvsy2av`oN)72~}bjvInB zpZyO|^G-J)$D~ZA^qap*B&Y0$lb2aw-=}UhHIlGIAAa~hRz7nBMdrheli$g;UtEfz zU#kB@+;jB|g7u3;UEt+Jkb-mbN&#zsdi7B7>g1O-v@-o-7Z-J=_P9R1dUbF`i3ne5 zctdRG3Ad9X25*<0a&2LMc8I4`=Jh;2<~#Baecb8!&}+pQo{M1CX;0zv@Em3jJD<-Z zsmmFPIag%r;Lj`Hsb=z$ldUD5tw~RPcvo1LP`q}u+59Ig1lIv^ZdXEQlGtmktE~UtXI+@>5Xc~S{{;Hv|djt)#nfE$cv>>%#MgzyLFaFWR19}OE zeNur|oB``efGV_rMFDKi+b0vUz9o8_Ai8m2_$**}zcfEo`IzT_5$CxT!+TS{epe1o zTQdP<1v#uqI&|gs^OzgjNgDa-gNI8a-SfLQC8e@qR!0R^xh0Ix=adgh54TGGBa4Ds zB;olt%l^;)MSCLF+_UWo==LqpojdR{NDPx^61~(5A3wvFMxKRmm!;cy?p@$$R9M#L zO~5CcGNJl@jKJ^mJi|Z$?+cr+bl&}k%C#=-^o6K5x}XLEf$SV}A3zvzz-JMt+B$t$ zAoXeL{hMuHgLbE&D0HkpWZ$$^yz@97B;c2w!hI-|m{owh z+u%=G-StZ;KfsMopw{p!f*HBZ^c4zkH>4@Mdil~SU>nUYLd(+taf3M{>|cvTfh}~% zz0+dPU+-V7ZMpwoQKQ4U+We*8J%W@}x?gJVq

    Atx)eXINW4u7e2APlB`;%amC&v zAb;BG=OAshb{RQ(>Npe-yKQ^hO2GbOH1r9nfIw1FL4`6$pk?dcs;K>apPQM5Fv^C| z7-&wPTNrMIAS)%+`UprasJoXEt$E*z`omuLe=B|yvI7aG+zxbr@n(V|0R0Lb{g)5V zScHU4?gxY>K|!DMCeyO+`_g$mVOMWj2URqsk@@|%NtGmxciV(-zHfUUsCo_<%i8-O zafyn(5u3!&8_#D;gZq2g=-<_68>-jaJ4htM#xhk&+N&nJGRxKBcR`!wbH!g_&;~K@ zxHh-A-9GeP`5frVHB>H7`W{TT>GK&EHL&k}`_<+!`4TTu=bp`cb_eB=(TL7(`aVOw z=I+td`_C9bYGIhp=My>HCcSwo4&tacqEvZR{OVXZzCv*}t~m7!ZBp;B{C7j^DLkmOD7zU)g1X z&Slp?Foomwj`6M_WDoDixEHA@L>=U{Ck*>L~<2r z@@(55G*W4IKe0{UK3(AR_uHb0HYFduM8QWw*`23ES^|<~*3;pev0ENp=0LYS69bAg zKvtrCE1V;F0AA)*x%W9GAdaU0Q^Huv8Fg`e^_Rddmj0d{!(_DY0DZipbGyS6+}GKM zD70)27c%MF!_3U$)T~W4mC)PzcB0V%!@(SLe$3=Xq(`Jx8>h3isdc1J&;vz2p{4d( zmO|(cy~jx|E$#&qS~Hv`6v{s**r_D~(@~`0*Ijcj)`pv=^(4OWb+OOvvrJ4+#n{R- zc`$a5)yw&Vu9U&-Fr6UBQM5**FG7LTqWw35vGE&Ah0^*bg$e=zDeA76RGrM_R|rKK zx&+i<$6*c4Mv>`5c7gnmp_`so_o+aCE-G8>I2Mh9Z zQnkw(Uv*sd*#_R)&4tYElLuw1t8+wqsV3gN`9gM7xMp*?Ix@U;3>)O?cVqtW{t z!Ajqdn@@P|Zn`c_GGWO%=CN$8d4SdbchU)H+~hKBXC>K(4w>*f-JsBq`S&J;e-hjC zx_m+~^xfmGdJEL5M{#40eX5gcL6!}#f*xDzxxQ2qbbZ7Cj3h)Nps!EzV}TT+vR+)o znxCc~W#6@I`3}Db-%te5R*CIm$9QU~e4-P*+f!;vNj1uD%sPu#0W_IwLCC*^KRDV- zdHW2GuwWm^8kwO-)8e&OodBHek720SRuGn_gMG3Db;JpTZxQ3_9Je@LWs|AY6g}i; z%WU0lMBjqeyT5R`5b;pe(RYp7ra8);TKJpQKV^7xImSlE&K?HwY{oXASze*jDXcEM z>3!^PVwDt~TLYGvfA2yVA|s)YrVxZQvs^N|hV=|GOE#Q-xQ1?^FK2WcH&n9TlK&dJ z)8V1tA<^H^z(7hvgG-@@OChq)Sh{>-^*hjd{G?kC2b^SLwR1)eMGZfVuyDD1e)N5c>wsYa=T!jpQjJW2>g*o-O`U3! zt*ga>mqD{;wB5294!-8Z7!-ydB?($*yKY6Rg?rx6>gdN>^Gi5bTzClExzc zcfLIgx1y^fZbgly`M+9#gP2WZ_#1dccyB|jtd&;9H7Boc`<|iw@RHIV(*j=-LJ1BV7D$f2o*Y=(MfhD}^3G zx2?V>M~%&?!#S8(Kr?`SljG2qkc|-fv_kHyiO58l_k#`hxA)EMEi4)n!^!v=KkO<+ z?;HIP%l8k;?Z%h-~M>y-~y;6HqZC~ zsPg>e+kV}4;&ib)8RJ0<2LvGjb=KEM<}MnzbLB-Cjuj0xb%F-l#G|;nDiUfQZSCe{ zF}0H!2P~QE-UkDwSQse{KAs{wv2kaQSPtaKhkMLXEHy zyVB%(W|Qf@kBeSYZ$%g+hULBoPFt3uZTWb%$Ens$qVu%p{_IU5m)_1vQmElU-b4@}^G znu_|zwAjVv@fObO=AC(B$wc3oTET@|4B; zB-X|s*64{PC4k)*fS_Q=A4KuaAmiB1#tC7{9`q`OH?v%xKL*`h%aqxROCnz+eJb{c zsPEM}PVTjnLn;oo`$TQGu$_N$OSu%O4y(fX6!OFAx((8uL5zn0TCnxCjZVmPEB zygEc%g(JH>TtY)v#!j?GFE1-o_9TYEzaJhqM?g-m*421zw$v~>G=zrd9o-3=L_nI> znm{y!Tt%|A5N%V@l$F!n8!$wcjfr6QN5oIPU<*7t}! z$$}?(s?+S2K1}I15;B~Us$)>VCo)!oJRYayv^}S=!-aHruY!zx)-UDtxWvtB&@RuD zzWwxgpP^KEhLCl;ZI-Bwq49rcy2`kyy05F0NFy+G*U;TPbcckrbazR2H%NnYOG!6K z3`jQ;(p}PnfV|h||9ijBhkMW5bI#gpt-ZGTr~vCAPM7~J%By@qkC<`{lHCRR{E}8i zwFP!GI+obK{Sr6!7#l6>uO{3YW^FV^$$))dWw~vIS`khq!K$jtJlU<^+Q#djDE6?G z_^H0F&9avsgKU?WO?Zl*y|DUel8LP`(6ng(fejaB+!D0{Z-Zl1X7{lcDI9n)e0c{D=uRZQG)<n!2^aSC|0Gx!r2kiWX~cADj>lslh6 z2DYYS%&4@{5xR$jQ1EB(dK{8iowpy8S(};Kur*lP-F|M zg3##{I9X&_Oj(J}NMc1NpPX&6O&V`EM&7x7vaRxaim08-kej})r&AOG%oKsJZZB6| zTxsb<85gn+;vA3GaW>|w%iGnjD;VizuFe(tsgbQ>d+qC=`k>M4dhp1br#~Bk7tH8= zviQ4+`8O!=w(c+9Qmx_6f{yVX@dj+Tc2wKf;6Elk?+^Yz->mI`zx}*G4=C^3E3NWn zokb8zz8#;NeQ^U*K4wS|fW4nPm+#P6IbI6R_p+v|DZMv8f;DAQlOFW`I9_7qIzdl{~v$EE1?p=fL47EuzbWSwARA}Bwg=hr%Z+asr z$cNnvH+_A6IqlYsqtQt(yEk0*zh9>2VaMD`})yD_+V`N0l6)%ChHiD%Irew8O(Y4z<~$TugTKAY4rF4e2iU`!($+2*ka zJ6~DV-H8Fk2MD=gOj=FzZ;!gg$+{P8QSmH=Al*cbH4SXei4ZSXX!9|QvJgwkL`r>$ zUzlrvJ`EjLixx#fohn!8I%-tD=+Z@LU~{B06+lvje)p_K1k-C(*i|SC6UyI^0kHN$ z*mJ-MLQ+yyy^h5c?Mpx~XKsPOPVQNMPsz%dqT@7Ogb%#InAU4kRIo*_K3g=FkJ2Bf(z7pC9+{9QHBDPHja# zZErH;gEG{=^7>vfo%o$aH=@Pl#CpwK0d8BR)Q8(2)XG7kcEYE+1+V|^s{RGCRDj&1 zzYNquB2$Xjuh662TQqJ4RU9)MlMTOF>Xd5y^yuwu4v^b6TlFNFn2{H}tF8-xCN~eH z=oY`B<RQZqX_{tkROgjS@!CrFTt5(oD!^E>%Hy;UX4jpvI>i${luZH^b}rte=A zRS70uehA&*JR||3Z~EUjAADl3f+>fg^uyU5Z9-)H^hI zc-YdO^8IB-BiSh--u3Lx!CiSLi#~r1cnB=Ow7N&!%I=<*Dtpkf^s~e276qQXd`6s0 z$$gB9syRj2k>IQis&R_W@LFL8=UGnDDtH=Lzej9QF*HHRQ{}m}rT9W)Yr(brwHfxf z$0{pKpYb<{gjt^l*-f6C_0Uxp)QCK^`FKtI;v$Ni_qHwmLi1m8pO(SY@ko)%v7HNy zdl0f2>%L<_=rH}Kt>4&Rgx!z;O7`K&n=uVV1B(zUP)S289_Bn@i%Ax>Tcf`9A-=R(!KeUgO+*%_^;5 zJ+A0i(qTo;N2z1EUr4M>+)}k0N3|_tvl`wilu}KU((0LvXcKTAwG*^Vpq8toOjtH3 z!5i`+i)4&A=?CFz4QZ}`R99Qt10FGoOW)z_m|doJ0QSJ#Y{*;_KY8ll!~HLRs&*iB%XSzHV0`QZ~;UQvzc476LJ1m&!`=O`58x%sDjc7P8Uq{#RB@psV z1C!qs;2O@vj=1ab`7E6JOtaFx%^Fc_A#RFT4oC$2G0VrLRgCQh7|L_YD=S1`*8>Tb zo<|Fh6uq*nEW#fWeLogKe_#Yaq|I8-!14?=cQ|C%`x8V>Uw12C_?|==+Mk_idEAbV z4N+sw_*tc``@v|~!|>`s80cDPH%K_Jw1lmz20++3-uBsApl;l%afeQ0s=)$97%q5&{`Y z+{!A-pC4e8RLV<|I$D;p3ge{wB(cY-Qk`6t#**Kd4S6qX{`SR|P*nWTZA2flf=KL3>qT;tDWn@iW}Y(Qn196E zv!s&0wej~@M+zGpX5Do02I|sqmc*ef$pV6%wEo%^`_sLYm75tg7WcHC<8-OsEs-?! z-pJ5G(C+fI-Az14DbV2@S?ocaa(T4YNDbLj7cUd?990~JfuYIyjX>2c%kkLQXRF3}#vDyMbiJ6EDr81|{Z}8VAfyz(DbWbC za*M39y8>JjG>ZN%-V7qtWr2FTUGubyC$GN4tsLTJ2&ZlI+`la@o6MRk=eS0!${x~xT zCxJC>&AmyGIWvRSPOPtuIF#d zhM};)fZviKV90w-3^I|Jl!m_Mw+0yxCw$J>=C0mr2Emqd`=QlKpRQmW2`b92Cf?}h z*nhyt1n~wK6O+GWnJ4r3C)dWg#U37}u-mDAR)#V&*NNAT#4DsNwEo)e8)v3ZAhE1m zEb!`(969(F_60QyEucEMsOnIcRB=NkQ)y009d{TC9o=&U*l&KspaXB0*&hKG>PXUJ zt~3{k>}cftCV##fY8WG6yT?3BD+Fn{hvV`~3Kecqgls!P2|&;8vfU`@bWEd|vFmX& z*Ik)GK$JtFS`-(n7#d6`@NeK{VtN9n$m>4KV)>m&vCZDcgBLf)jRpx}>0al2YgHU>>{>H?LaUxqLj0uy>y#{?<7TAupa%cTprSwDgF<6?*+JCz zB+KqepXO*wOXPJy53$`HJ3jBDX;=$y9(45JTFHW&*DQtBnKZJI3+MiJ$vZCvI?L?< z71r+_nW+zBh!JHWVuW&hO|u~=L7*85h5TDR=^E`-?Mg$(tI(pHWluHtmXmo>4-oTu zys!1Lv{pywW&q@nf3hX2ZvAFXHB%U^YJt(oNlOjojVNho?e(wOAGNU)o)F~z%Yn#I zCwu3;b3=taPDQWtdKv`v;^;!~=P?T^O7L;Mj8J9FtJewy+q^{f3&b$UwEgm$_XYg7 z$o*+_((}Cu4mSZ6P$GxINM{;~0eQ?n`p5uxdI%-*!?GL&{*+W-*C%Heexleff z#)|anTwE;jG-_1#e{<-K#YzPy)>a(CloHeX8!8u$<35imDXSFNooSF;P3A_s@!fWS zvehKSabaOSv1Dxp#Nhk=3ftAs&3Sb%Cu}0nRbcmPmqr%?ZLrQ!jr0ja0)=;|1MiX? zOGZ2l!>}rB{ua9|u;U>~)z3 z2nGF-vd!VQ;Eo^F2#&KUAVz|41xHobzms9?xvr#zjP8A?)B3bGO5f&o&+25{KKgS2 zy4>bQ9L27Qt`+>X>>VLUzgcjn5IV9|`NeJa%xC0Jq~~ zOHmCvhN?<34~uArdz!)GwpwDYNKDc1?YRR1&c+ZEg1ET2Q~ro4xOD^L+LIzMO1j1R z{loJ&c8~8KhJG7?A3~fCToiqE~ITOnh^DN0Gbv<`D zc@R6pr5$s#Q8%Jp8;@o0Bq%9}i;IioPBQ%!Ek{{snLKY!`~mk*+1>!8Jbg-pjlc&c zKlcaDu^hbf+S;N7)o%q^YqhHeeYT!uF92D8RTlBwUIk zw80whDQKuNCJMOq!=&R!FtNT2M32t;`?OT^IbAoZI&KPL6zj%j>kg^x_xh zA&j;-K)(a^&ZuQ0IOh9ecSYgzA^k(Z0TP%+MMIxvBg3QCNBRPp5|+_>FZeRI@sjz` z?`vL^lYi<9ta+(5&$!j?*MtDgDnrcotR1NC(?VTEC0%^F#W7kg_3V}<*3qX4hIvO803VHm*|WeX2%x2snf z14;1{EJi-Z!mse_);9-AmAk%!Ys#QQRZwE`7oH98bNQZ!tJwRz7wgJFnf3kCpY-iL z+R`(c_Ps;&_@d_S=3(3O%)xU~?|F*8BRl!K1MlRs^!vD}O;~AJ6^=J5Xyv+#A3ewq z<_)Z`N`}6bLU81nV9Byr2?AJJ^)%ALVw%3f5m8YHhv}Sqay^0V!I!h&Ov9QbEXwd> z-gSfVE^|!LhjQxCM89|G$RP!FzvPhnQ|VQ%$|Db80G|+1Th#^o(+apHDUgu|oMpdJ z^CeFP;g5Glt&60%o4E%efd`n!g*cc?9P3dw($W-&NA zXbTAQD3;hZg(T&ioOIn@(&y$2jc2tFFtf1DS#xKRksoB1xi~#3*oyCx=@2qS;A1PG8&`?_FF2Yyp0AWy2eDSlx>s$u9hLAe5p5v6@sYgKLkxX zN4JGf`BR~)5zUgmsV&TQ`sPbU<9pA;bj^69CDG{?Ln}=3;|5El{A;>eT1EkPx&>#V zNwkXgs|jxSZz-*t_1bDX&yI9Z3~1kyg#8|US^uCX&BgV}Buq^rkqV+!y5Kru84m-z zpnGiB_q{OMoR;`$IE+LK0e|-d#Tq+;zTxk}UMCpmhq$P>JYOHA6ULPqbe*sm8C!Fa zJGY#v%BhMfYJ9VECAjUR)RB=<-oL3>>ymlT^){G8ap&d~S7)&WE89nv91lC35}(zW zdIb0P^Q#3n4rO@7V3|e<4m0cs(N;d&u3Y{Db~NvU0ae)9o{)L01+((r^at#k4^r4D zM%Ay|nG3CorLZA$?6=(~OCA1vc z_G?-=X&YGutwn*rzf70>T3UO%$pS?2NPuPs_+$*G%(i~uL8Pg#NT`NhQBHFreJQ)V zY$hhiB7xXUMe7mm4G(h~i|{J)1Vy~UmIeptOLh0Ohv%`l+53G4|BepZ{IiZXy&8=i zK1bzB3giT8pd(mXhV>cs+i_#-AxVT0egZEb?Lbwr1mhjt{BQ3_wf#cvc|$ENe-}qR z>}e$^sj`1*9Ebl=xhuWVOQw^2k&-vy00x+q`EbQKk2{S)*Yn+PxyH(gcncz+hXnc?C1Pu*+IlM4Y1Tegf zLXYEpy2a#PbmTe}az2B&hzfY~G`mtpEDc!D^7A5@qwCP`H znzNkW;=xPX)csD>=U1hNF(&?p-4rbF6P8>p_GlXQHxfY5&jM!XmUKe*pQF1Ml{|IM zx?~I8!;T)Owp_xUaqKZjR0DXc*$WtR%avx`U;!HVGqM;51#mm5B=CzL$X6Dl% z!(phZy4cy^4QRU{fCM$Qj1nY_$(tET~$3ksk9;c;SF~3MVNc& zU%#Zu`{G#O?U%8A8(uZ*)qDyimomPlU>5KGzLKhLg-ImukXmK~m^?ML&Ionyysa^j z&g!n+W)(7@0<9+a<&(_)nHX3-)?T^8Yt1p(I~2vMQfa15J8p3kA;c5imSQDOVCi|o zl}lq)V4)n_Eq%Jh49r(3g3tZ)q@3o)<)e5{)^BV;$9%+3Rj^>2%$7lc#m&cy z1vkxwkV72ylPbHGOH?#szX|sD#F!cx4sDEcf0zrPgKMw$R=b^<pA%@` zCNNV@>$3FdkYf_9BQF{i9eT#*TGa2sDzarn^NV|WWHQH!KZ!OSE5)g%j2@^Jzrqft zbJz4!c%V}7jsYwt8fgwxQ76{k0) zX(D{@=Zel0~>@fj;yJ^)v-}N}5ftAkob+TQ^($P6!i1QN_ z)6Dl({+`}6ezU6d`E>`!|9b(Dj>?IT6lF3!glbPZx&n_-#*{I&;`t3&FY}gqdd{x7 zim92`jiflfAv4969*5bDeaK?oI|^-EK*^?B8B(SWh67j0RL=~KR|5V~y&4cuDGXMo zcHNI!NXf|J!*QWR9kblzhEq{g=u{9BjvKsQN{m|ZF0FJ}AYj{X_i-Z|`}Se20{E~) z%cn?UJ#;y>g1TyF(~iB#(k)D~EuXwNI{@RC37^e7!DPqje3sdV0Qdix!UlblhNe#= z->`k7tB62XM_pW9MjbhSnpb0EO*`2=J3E#4d5&qno#V5#<`c-k&qo{S)$Hzn5$<_< zUXRuJIm-!aXEwrhDczzDcusukKdBpfPWT){LRxt}s)tvU1f={4dPMvc+^B9zZMloh|Ww8+i+TBsbfD0K4y4tFCKQWx4;9^S$Z4Zhh~8C24kI?FC@ew<=>g)1jeh_b>dSW9`&C01NjCqtoK*&RXW9{P~z`#`R4)?GX}xNI-c~cA1<+^j0ZP0akgST+ z#uSUIXu%mVJlY5q2s~%L2!L^9)Ed&>NF2h&Mj6!h%}Bn%hB#jy^ROECPOyo!4a-gL zZd$)q*0S+owRC}78gX;535QQm{KbCBlCP$IN!po5GIKp*socd*MFr6jU+eU;V~JE( zKGPZArk{_ zWV9Qww%pLLh-Q}++UPM8WPp@6?svKrQ?NXY5-l6O^R+5B?D#&BATA}&wTmYFgHOTJ zS^V`2wnORZ0f>s^Qoo3z9Zk;mT)j63EqvqoQ_pLGjUC$^J7hXlb^H9gAb&UVZR4-R z9zZkz{x#MtUj^c*pd*OTUSH?Z1%*5OldmJ?0Hne7A3wdw%d5LuQQy+j->51oF*#kK zT@8+bbQ>j(-pXdMUdN&?vA>OSrM3?PO$fz)$d)Ow!mf(JDj)z|=kQEUkZ#Vh46IQfd)<7;999R@x%5^!q_O}_@vurizfTzT(!%n=^C`^;L*hzM7r`a3Y0#(lkqBL zV#MI>hp$>pQa)eQKDW90Cbw=p2k97lGk~(eY>4MkZ3LAv@v2N0QzQ4LV{ ziu*u7l<9ql#J(>*lU7}WsEc(vrW4C10pWLc8r428D>{3XhKm`;C*QR4uLeCD_u3z^$3o~C z+Z|-SeZVVXmjbH`aW!MLB}g`?l~@SHnJWnkpDH0~w)tJN*7eN#Civ>Ehha5f=>yp0 zb?Ln5s4siQ*o-xI+ouPl>?+s&n+AvU6304;x2ZIeu5oz_v-blX^G+%n8Y$Znl)!%b z17Q`7m!S^0BBM#(GQzJhB8Jq}-|5w~oaBlQq{M?`Dwa-OxoGd2AG*C8XxoZ-crt3x z>9^uL5kKI7%E~_M@6wDh*_m_FHNL@6W5vUUu&3}`zLFRe*}_z*i7_IRU87FcYZ-^y zX`z&b%yP64dx7fRQV%;Ks0^+is8~9qomRm?ucQdD1u-NJ0p=kbk}!0u99FdH`+sza(Dk2Qz(crlpqKy|X=TL)y$M&Gf^ zGQK#~o2XD>ECPJ<_B&Q#_qw%s+ZfPO1 zZ)cs+) zX3*A)4GMj0d_65KbRND*r(f+OV!*9&XHO61vTk;Rx|re{e9Jr!_>j@jor2)dTcgOJ z@sBUO5yzF*WK8=+sfgnHrawS8s3W?jGraktv^P&K8z^7hGo%XD2(rb|uLD}UghENm z^>ZYKlW6$6|C}#P)l1#aH&8Ff6D>JyNN7=EkO}w2OUDC#;Uf?=6`CJf;}~ZtvP_Kh zaSoGp7&sX&SW>{s)%_f+`XV68a)0EIkx)dOOBQzaCd1i~7<#K7rU1rO;|%j870IDR zfvY;H{wjnq7I&?76= z%aKJ;BO;{c{5F5$@kK~v&WkMdTBlO8Vu{$Cb5Y!_{ac4jMU#i5$!6#)>6s53_UHi; zNI@jMMPMOO1lo(zJZ2@Kj==&xq zG&+?LL$AhPj75C?t4hxW6mOz4-g{Zp$A9?#ncvs_%AXLg$+#o-*UjYIZ|%kV+{_p;v!8gD31r<cpmroT|F#Ozq)8F#+XVI59)+`>=f2o33u=H zD0R+^r2zd5AOAp&@7JIHok%`ZsiT9A^=~LG&)*Q9GeH~Pe|QYg3lfxGl=sRQ7rHK> zlG)wsJlEVY`P>#$-;T4xADhUneW>9xdJWG~l% zs(_1FFoAeefY;>X4kC)~01#`0J5jPy-!LrG=6;4`EErgOApi$Vy216sHDTuvT=YCR z(yiw+opJ5Gb9%mmXLJOd;|>qHnH#&a&4^zDEs3<|+FYwuYVNQ%9`34F_jv&?_{TN# z;-fLt;FBhPH~Vi^#+bw%*xrQeHoB`UCZoP>sRU<>c=Xr^XW1^U!eut+TVFMVPyb#1 zJvmwrJTd=_y_vZc4Q%Up4R$dg(kN21iIBw0Yu` zYtvGh`q2!;9;mwA9I6Anl|s;W_TA92rJuHlyWD9$WBo4OpUz{_Rc?(YDZ?m``={|V zr73gNT}Tos5H`HnwSw*hn1ZON(1s%A3XhigYdtmu+=Z-wRvm8j%}G7@vtJ^_{Jiv* zP&17)Z=-aU8Q8qWI`(=z$7Cw_CBM1;@GOtg^=3h~6lVI*k^}(DhqFafcDYWK zSk$H(R-pTKGvLnl_3=2vyrQ{?y_k@{k=`;1RAR1aS+DrS=gIeqAg1W%tJ<&j0>zmY zv`B4STG4!faDUu0B)zO^mYL}F>|3M{18RA|3N zBEhyVHIF%PO@$ZSd4_!!wLNWf!|~0WQ9gk>^TyG99#Sy7Y}eEv*J-roR~I z@B0LX@G${D4F?uk*qD^#-_d%{v2WYk>763`_0EQT7bUAQ zEm(SQAsL=A(!b;3s_jllaz%oG>_#y+62m23U0om>-PzYAd=HpZQz3gBq=4eyT~7SOfdI8zavGkt{KZTXHOZqzdw{~d>jGD<=ow+>3xc9{b_Gm z?<%0??l-i_76?OnIqQXC?mRvX#|w>be6gzRNU#7TO(kwTKVT>WOt*+#92sv6SA-mm zY|!h*MY5druyKSbef#=ms2hU%NT?prjYEd(m^z*!1mtwpBqDwh69D zrfyMv$c`i~B3R0tn^bGbnI!G@*2B`$a+^b^rRBqF1-5j3mpYVTH|t06lC6e~rj2*~ zJAw~o(v_M~2ikP+gnh5TsV66EhI;+nEG@VaIEY2a%6z}q7_&j!t6J{8-^l}BJTORw z31lhH%=c1WF1oZ&a+JdsSOX=54yb#;u1B+4lV3!_9af(Xtu8o3+)$wT<=SWZH>$ zgkctbR4 zN6-CXqr&;{qtm_4LGE2Pmo)a7W@6zRb@7rzEa|3G5YU}&(BX@3yB3Wlm9_pCn`9(gvvBO3f9w zjRDhgTsU75BMp8Q9@#68(-D%af|w#?+`T!unyyO8O-kI?aF7iPADT{7nl7B>;v*oC9b!a)*3x z;W5vf0T!Bm@{6fiadc69@+j`e-VfLove=)_*7Fm$OpY=b?$Mga7daN7NHMJwuq=6` z)>YV%Sj0M6P_d0S#~?p)O!bb4I4dXqqZ?kLVo4uA6Z#?OjYw~I+dYy^brs`Az@@O5 z&xxcTwJbr0`Fzs*@`SBO%Gj}!Fl;5&cy=xk!p;?d)Wt>t&vbL*V>2eP#G4TjRUMlh z3I@N)uG$h%{+5N7W^0zC*sx&ha&iY}Lcp%!Xq676L@Rxc)jUmNM%u)}KRk5aIWyn# z1v-QMTrWZBozkquZhueJf!yIw$I8rtX?|Nw8L&+D~EVdBG{drRd511$Hp5U&59wcd>^g`BS|q)DIdBX zRWCpO|q2127@i+)8cEy?=eBzuyW5 zh!r`X-^fpX5$qSb=!tY#1;Q<=s^aisFGLcKAj;ZnH6E0RZO2_=}^6vF5xgcEsOD2OKGU6;HE5X zJFw{C($w8+w3$?BDeO!idZwPf8~*D2&_C^J9T7p?cfo3~Gm4xO4N_KP33P6;peYkW|zxdw*8}z{+RNCvH(9%Q~s01{0uvEd4fOn3_#k53(w4K zkJ6$k=c4WM3V=&YKhKlMx0mD0;%hgzcqmq;5hzIojS6>>JKjt-vA({3ny1o?&zuvK zx+hGmf7=qnZ+$iUld$EOEV~HKq?0OhiRL|tBm&Dm25EdvQY(m8EuIQ;i4}CxH(RAl zXG{f=oPktTD}EkBM4)s_l~&0UjwrK%^-QhyK1L}lNX(&s5eh@Ms3tZ8Lcb21;bU?~FAAXEJcctkpw%8!;leGHErV!WpK4bIn(`SqWh zkbovoh8_@i23G#*Cu)Kj-TODd2@4EARGM4M7^)$rR3hW^{tL{Q)YYC+xO`3!JA45u z7H;u0h45ZjPVayhsS3G}J9!~-nA{nnnVE&VA&_hJ1#rV#eesUi07CI<4Z3A;!@-X6 zuA+$+NaGV^2{db~yzlx{21_wOhetEA@_4b3t^F+uI{#Q@qknsa#FTvhe-X9Dv# znBoSFjPB)kr65&!d^M~R;CCi>SXiqMR= zGHt(#UItP##pv{NLj#~>Du2n$EzxA;5ED~n%~+M`Q=Su_?qLmig`9Lr9)lc>ysBNe zITyv#{;=NVos(`=KyTm_p|yFHhS+npeUw?Er2M(fgHK8wL4CPQEO=@6shxht1AUGg zn5a3x4!djZk%8?PyF9EA^&D{VYHyy@iIC^Jee;v&l${$h_KrzQ!=t08CnP29&e)Of zzwf)&3sYb1z>^UzvneBnVI4}h%|7@x{X1m*8&ZKOe(R}dc6GoBI6uLTI$FQAF?$Su zMx+-?$EDOlZfT$AKng81sx!;BJncC|J0bTZd2IJaPthwd4phgzJTE1NwcAKdV{F94 zaXJ~aeXrb+J%9A$bC_oLDR~C=L>x$&H@m-^1B}(o#T@!sIJ6X}(`L_ao*12bqJT62 zM4=Y_3cC8G?&yeqYTDYb?@AAzk|IVgS6C1b=86DIECYi1WVzU%@(ojee^RJRW>!|= zf^9=j57|A_+b>067YR}U>ud@%_!S$37Jk>=F&DZE6C;KeYQREH z4E*g4)IK(vC7rS;QbN_u7Yk`T$SLQn)=vM1`&B&gc9Q1DIVyr2fSG%evAN{)R6H!Y`80Ox8&_bYy^n)q^s#pd)rtFb)6)i)q|!WK0xDLR>1 z`F^e?_=3~RdAp|}mp|b1z1Sa~4lSuBH!U1#>>cWMhy3@r;bO2~)dpSe(L+PDbo9e5 zX~lB;hzc#qQsr~obZ?u+%Nz(~NI-1zp19ILOYs46NMf6xH`#_87+1OHD(zrrN_NH> zQNki{-Dm&=T1O?5QWKBC&HHcnAMPa((0%Q0JY#>pYgBMov;@aWVJLz<8<&3|_)mlQ z53V0-1&d9FsiJp{hMRFbi(mh+Y$R~V<4AvJ3Z}&V$e_;LL`o+%sdB*-^Nq#NUyLGb z^JcX8Yfa6JJue3uyclwY=5ZKh+-InOyLI~B-kyU4XBL`jZr1)lY%GB#*+yf-IH>pj zSO=H~)Sh^Xf8{+aGqy^G5J7sNa^aP-h;Qr{Q=TuX+-)SQrFHf2BORjs`cG7*23(X zSJa>@=;|rNjR)QUfz6r`J5Wr{9pQmaw|a&MXshl%VGjU&O-4j8*>v9DJnZ9{^CW6L z@Lp^4j%1JH=j4mE$@V33>%ElAjOZ^6om)+z_8b`9kri--QDoE^Sh<>pIQi}HoYOJR z)AK0hm2{K8KBT`%b4&MgQbSd$+d-Gq=Xkfi{>!gi-Uw0WuCRd}DDEjZI zDWue;N;O_bVA^fi$#qK2Ud=W+9PPb*tB=f^q$+^o^g zVFa7l3pcgdwcjU)*J(*+bJSfo-?5P5KXaz0`p`{f)5ZC4Zr~as-GM)XuB=^=f!dHOYvaFi zRN0=>Vu^)sSa))}?&Ozu5vXVaG)n-8H+a$li{t)j9i56N66*|CtU|zX&1k>+p7G}e zXuu$Ua-w!g*yCLp`O6_6h3nTE-sQD0SHN3uX6BE*kw`#H9Gl27a$m5N*{K^Qm`sC$ z3DzYFUjcl!Pc2;?pAtR}uYzQ-KETJpGX z^SW&mMwe{yBrxdSU&k%cJ{7ExRN|LH?%%99S@Lq*fc?q67vV(&a?pUI$ z?d^ofkavu@7rTY|gD0P!;Gl`*C%$VE!*eGu&$T%YtA;o_bgOIajZp^&(@jY}#o;z_ z#mMB)OE3ty4&c z0*e)dGDQ4WQij!@m~#>Wze;U8L+S*ESA;JL(Q>Vgg)9j4sKmbK%vWQ(;;<*rJ1Z?^ z(EUQ4|I%a-LSxj|f}9_~inQe6LPD=HNMAkOs#lXKC72L;(&19niUEJs=0{^yyOxg`IOUGknpL0LrY7)cIlAN1#{9USoraj z0fQ{}{EzOcrRAK}IN}Wq^<#^8I7c&ecr2ojzeDmqBpOCv zO5~>HN@a?HG<;ag$5FUc`^Vq>`9}+mK1UdS^lBskO5hXw5DJ2}fXqQ7W^s)}1{UFU zW)-1!3P2af;fyY-s%jW3zaG^TZGhywx;-&wy_3M&>~PG*7HCfnGihUyY`A#jz)m^P zuUo=~3}QRAIJ6d*pC56iXf1km@cq$^k&$&>)4im?czd5kz|m=IEqHK--|P2AOUp$# zuO?feyCK3P6Bp&7$Dz~2#3Wi_NE#VuZu}imi1EuY=f<;9#LUdhqo|mW(8TSD&N;2# zjd+lnBwDwBUABx652Siw<&tdqsApaNU~Yoy0sL{=jc^ff=>f9dw(PI zpH3W*8T!V5R$0bNV)fWeH&m`q0;c7 zM7w$@o#;#8gczg{_phC*bYp2o(sp@5Z$5KnhoaM6tN< zG$-$(u%h4>H_OPj2u}sg$ zkGgbUtlaibxnohi+Wn4zk!~)#%fb9s8hj(lt>jrp_x^s<#GY4Vk5t90BtJr0AGJ8? zhw$P50W)^blOHRUhE_(DS#wqd-7}6*WCz6%+*{zSd2`n9dxSPl;;hHaIbB{W>AqAp zQgwvkn&0F2{4fxdPwjPgqJ3d|e6PhbX_z{GK@**7LXcS&U1kH=fNE6I0IU!w&lf7J zawVc$HRzJN+ySJJM_QH>65G%x1DF0PvN7A&S}ip^bYv_lsi?dC)8+Mp8vOItS}CxC zxKP8@b2Lh7pxE^|j*?13eZ4b&@W;kky2eNh(!K_ffU8z=QzG4>zJot|_udaY89#si zgb@hYRQNo9dFs6OO?TYvloj+!#Q*OmLsKyKX+8-z0;)P6qsIjuz7f%q-y9iZXPJGD ze5xCHi`nK!SPWO65j6+cX>umsA-t~9wj*XZ9q;{?`fC2)9HImk&V(I`u;u-`l#9`x z)N9sJ-C0_S=tL60xNs>TM@6%dDpq>P{cv2?nezPU3qI;*=@6sMZOVcF=?HTMD_bao zn$$cg!P`0+ursu~vwaxMWXi|BNQ`=N}p&ZP;L~ zSE-3t0x!2mom;Atmnd67WGN8<4ZGs{ba6_>-xqkcxZXhhfkkp+!aa%$(}&sb6VRTnQ4ElHEG@PAbY%a z4fde^+6%iBbA7x*=^<9j9>2Q1=o;CbAA~0!2$iaO@D~0LUvt>cE7Y~T3;jH^JOSah zrqQ+n9hGQXusxsBBqS7pCpB4^hTtz{(DP#oX$$L_?Fv#*MyG#G1{f|$|0|1%KQIr6 zN!td6VXeLsrdvgls8?Rv@g{>H1Jzv(x47`IBdD~bxqJ?fe#V9{1)^DL!ifgI+S1zo zP*Qp{bdbNllPFfUaFz8#@3Z0#P!uN`>P?uxaAxHM=zcJ-X_A>UaBwD!22C7s(QCb&0(kJdn;@s zE?t*n8?N`Jd2!lssNWf%U~GXCfq&RuekV`Am9Ty7L-N~tt&)KZ?0Ev0nnY||JX4@o zGdyFs=PK|k%(r<}*?4{PQM6f)rA5%9@n@U!QNZoo#Oxl>Jq(c244_z-%$BASaUt_= zqdMq$n4f5`(-1|jJl3Ma0zt(0 zPYZb54xK~V4O|B8eh$V7FS?z58mQAd(ewY1>#3)SoD92zgTt+d*O^tIyt}QVyJ6yq z*I8+uqdz@g{p2iRA1`X0f%D!0Fts*k0z=ExJhQ>$FEH2j)`xV-!^|!d~cMxFwz^Y88hU5%|P+Nd0VmY}%aFyPDO-KU?-H+?u4%weKTCf6Y0n30YE2kCkE z1{CDgW(Z%DE3qHth?1us`vvDNG!uyLJ#hRbwa4CBz5@sq7#o+kO`L@mcH?s>NO=7?@j^G!l;P|q#)T=U=2%%&}wU?r24GRTkO>GC0x&) zSAFZT&3RAmv$YKeqxkri_(J0{&!RQ4mt`SLHgB0&!bqIaeZt>SBm;Enlb6I4$}&iR zw`Fb&4>GK1YqLd^%1?5!bQRB%;?yt?(z$(0929MTC`_S|x}}gx*pokuLlZH?g`t)w zJQzP9sATjg4UxtS4qAoZdJYt{`q+$*Q%(?i{`TyjPOF;|7Pq%iroZU-J5ks7g23Q# zB-((*-#3uvr!MPu)0V%H#tAvh$yI}p)s5%>L^Zs|xRG+^E~$-nKG@v8`^A(Mi`E(9 zK=G~neW=eUq%<#Yv24S!H_4wlIZRObL#wW+B(qrTaLBSrdyS*MP>k%k;m*HnI625= z0rO60zaHA@88Nd7Yn=Rx8(+`9C-NPq&*>B!B6*C3jDD=&yK7F#9#?5Q3^3~t=PH*? zpa71yqYE`@++C7OI%Rl5Ox9J8f#j z8(8o~p_U;MFqD7*tT}UzfNyRbnef(4F|?Cy#}!_vE;ZFe;gS6)cVyk7sFr;7?@NvI zvOW+tHmTp?i`Oo;oK~ z#KBlzP(yZmwrR%{lA5*xPlNK6n4&!{jM1KcPhN;+#-lG4UNOp`9UYz=Rg?6XX-q;K z<-LfMGWl2#10&g32t{(v5iqK+KHHQC+uw4QKvBjY`^L{7U46EeKhHzHmQNFLMS4P& zWH(L|VXRS4A(Fu23J?AwY;L+y3zABhVrF}O=Bt#WB}N9CprM%K7E9Omj)e3iL4++Y z^ACt3Wy@`7Zcn=bhM#kjDYCmXdSp`Z4VXqU#x#tev2F_PI57?0S=zrBRR5Aw0w^dT zr5ADNqkO_MBP%fB$w6V7q5GctHonK4BpV!q^4Sql5Q!s+&g6n?D{j=1Y=EnZ*0<0- zt|%Ppju?dpgux(*n2x2k(Z_@_A~|rBUdbG=53bJuk(zr(A$!|8r<_C~bxS!`-$`wX z)I24-dYeHdrItWLIjwFuifKmUhK-u0M<&b2Ocv-@^$wW|ci zv3i@fi7rEebKFdMfs$=e2oqRR?ktRJ?ofxPQ5<>fU3_n5)|9Q?_2)UB)(7ttTrz%_rXuJ^iNdbfsHK`6!#rKTNJr)R53@ z(MROi%NixJ%tR$6mB`Xj3Lz3y3)i8mRNJjNWQUD27xc|Dim`mr*1j+d-06}lQveY- zj|vaYXtb~aU3q!MmL6T331z)jIG(Q>Sc`sUnl*79nP~?vIxm z++N4H5gaS-61Z(*pu!}HvQ>bZc-@VC;>$;u2PL2PXsi#668}J7!#)ZN(}vHZ3ySZm z)CVOT5u7deKSf59)k_rx*9of()y$*hC)_1Em8;vt`-7aNBB}d%*X0Ih0Qta zfHFndG<;4 zVUe#ZGh{4+}x_RGxZ@kHr-DOhNwRpb(K zo`(|CGzMFo{>l_q>;|zs#ah|<-D0|+w0CFNb0s7r{ALO3bCn5<@StR5^i8H$n|kH= z6y<}X_G+E%>c`79h3Okocy6o~9a4cDqvwbr6*45Uq5^z)uHSLA+loYm3A9whvh0)5 zWt}U$G#5MD0VWK3i{F2cgv_BKhDxhW?kWt*5O+9P*PQXZ=8Mu0f2p&Hq6`KbUp5VV zImyMPJickjFG4B-bN|TxmW~+ikw7VflY7%WltZ%fKF1#Yalc(N8tbWuMQt)-oW*sG zO7e1i@$~LzU7gu0KnDto@t_Eg_+@nZ8{d$|usjMyLaIpF92Th~ygO;876I+m4O*lz z`PO6sU#*-X<^0H=akg;f@`{qXBOXdp`5V~}W!eq3h?OvigS+RkXK69Y!-uWxnB0;S z3l+BXMxU<&xzo}eD=JL8a9SWp(0oabZ<_pP$uJS`c?r^m|i!!GD58uE%2eT`+CO9d%#JGL4ay+cQ~UgslJ+OD;je|%^dcm=+t z5y&~mO<;}gH*ht`y9sn<>iAv3(Dzeigs)bd1d&uZOA(O2zB*VS%Z5TiLpMNF=^?4) zdo>vf%0DcHbxS_D=sCvH-?VEF`PXsP3z}kiZ=S9^N{f^|c~gsl*HCDGQedG$2`Sot z8%P)b86h{-Ps6vSl&m~kyjymW->Ao~AxnY2c(o?8EH>VsgPajr0#;VaRi^w%4pOTU z5sI5MA=;;-uD^a%q${(nO$ym-6(`w9Ih>!J!pU;-%&Z8J)(S< z5rZ3Z&7CK^^7=b#QWVDA_c#0E@?U*li6;XNAB~Qo`I?VM>ISI8kd7R8M|Md$YmbHB0W2&oXI;SRDnVopj?WtM!*hhcHk1J4AjvRd+_&eXwEw?Kj~G+~4^ zB!;dbADOz z#`J$jlAfUqupS8jTjqMD+kGBoL9B?<2RD|RkQHM{(c;+FE7;=9QaJ|Pdv&S61Y_HG zc+^^y*{+JkcPUFI#c15}sYbl0=4X`Yp6j%2eUnS93rEW${q(&gFBBo|@MJz+GI9BF zZ{LC0(;YGazCtJUQ%M0_1e82A4P7Epa59)E4NI)<&v3s7V@$>Lk*ITwG5Ti=M2uUr zU(Sowjh&jiS3gH0FA-)@VF5eHraP zd|J#~crVC5oT23rbd65C24T~J-B*FjA3~Kq z(XDpfbP)QhqQbmoJ0K%k`H~t@B04K0uFIgugcBeH5jr5uf}1rLS-hUuw4p-kb-zp> zy!}T!YfDipPJ>EpGHNP?W^wgTnQRkk@ff$%58d!MGx5+66;>jF(HQSeF2Q{YFL>{IL z{r9@+w`5{vZ+LX+zt})Yf-!qRYNRFDk|#X!L?Ol|mFC}vmIe0?5jdP&J_e3iQHVpu zDN@L!U=GD4zs}F)<@NXZcbZ*(&^r#Tmp63zqrz!f^hgZY z8|}e$9a$qK#9OgKs!eL>GDXCg=OM4!g9$A02=Wu|Y;!2lhMj6FF{xHSR z(T<ybRx%H)QHKt=h7r# zh#D6kkA_bGL{Fk4#>B?YI&-btwc}@;c!4SWU0mXPdV>Xw5++S=I{1PJpcZk_I}FDB zRGK2W>jY0+yv7MzWX;%yQpZd!ED$haqw;=t;!%FqQ! zC98uspNm0NZzcxGaxPM8=NPKNJOL5+H_8{hT4$j%QQ)5BdC3mVkF z-P+s~;m9^?Wsb<1jCV9U)&-9}Epv5%@z|cB@)SqC1ig7w3R^jH{gI0;>pgCab(wH( zJhIGkBh&KZr$Hxn21@sD<&V5yr|gX!s(%DU8Men8y`Hh9M`5|5>GQsJCr45&5UADL z>(~rzc8l<_%qN-wnT-Ddgm~rQp_A@z%zo>yZwzD?nBkz)Zit1~#>`2xDwot^%g;~& zw8?C{cZW{gGGCLe0dR^lpgWK>mr+)}ysrk^2jM;pY z8#9Bq-P6~BImGNYG`ntbX4RqqF<|IJzJsvTV>~<~|}u3FL}wOx@_<{B(7BDRT6$VnYi$t4-6bG&y(n`DDHLKboN)6(AF6~eky=A121h&7j(EKP9H3H8q>-lCGy7y zvB;HxZMN#;b5y!Kcv8W0%NA-TDblP<-b@kQ+Wp|YyJxEizj<`E%8=5_pxdJsz1pRA zg@rl$qQQiB;ooItQpLTSFr!#0^B_uR8%9itpFt343VrznPGzSlCpH!64|8q-8~e2R z3PVUp)>3eP{)T)lZR($pFJtNHBCnf1BF9D4eznY?8Z%AU`$T=+@y2j^-mGlyhTX#W zV;*N{W4p+KPcCt_-{OPDN`!J9lPXzS>l4?-p~EbrHndBLRNibbtNL%lQ^I3@`E|Ws zcA{2i_(*~^>d@s3*^>eam@(u*a*qrG8bk?2!fi{-{q&qqm22h@+^AKy9nUyZ-zL>-L)$-^7elN!gyVGh!kt|YHHvxI$H>zS8GeQ;OgV8>Q zPB>-_tcvH!Qb4E6o1+VM-OaIz@mU+AYAN%BF3^f~sZdn*m-&?%L2HpL#ov%tfui7A1LeDvcUq4UhV~H^xmp_$J#8ECWR13CZ%fMaUo23bT^$t(t#`ht{q~^+EQjN`2 zB^~+KCxF=1`xL%M1BtTln$p~eHccUQP|sc=Pj*5v=|??@gha6wWrGC|EuOC=D@IBj znI|D9`NYysg^!#-UVFEa>aj$`X_7%TeX$mLdBd{2H4@?hl_js*LZCeMEvD)nH?w%G z{?e{-2QB}GP>0hl&FRfmZzLc*k9&sC?-z0u~Tp`fs5^cPqt?T=j{BvsVkIwo9_NSROlClUB@=99#hId6Tm}{8vG5q z=2OX5aCIidH%lhnj&$oS_C}Jk6VfZk1Q}|Y!rMkGfySRWld6&>&Wm-DCE#-&F9;F+ zv{6(dl9Hi|0d|)p(-0Q?lUfwUcr$i1(Xlj4C+L`S-|V7^l%07n0|IA#V^OlhlZzLU zAv-=LB!~?UzCejEgn(Q_sIPp?+~?Tk=r}8X+kxAWogIj$z6s6|1N!)oja5c=uWM zbU~pNJf`rxc$Tox>cT8=k8}Q|hnb*t&EsGum(f8`wI^_LbGvH~i(z9+x+W;1=+2fi zQIN(H^GgaqcqVGZ_-Rbk5d-1miPYQffpGL4DLZ$so~Do0WAh4Zat5TLqc|XxFX0rs zjU3+-|Cn0-{Q`vdf-vByj9D=UdRgSy+T|&7N6La!`(!Lg2{XId|Y=;1cG3ttM#2gtqlaYF@;K36;Pl#LvGn zB#|(<6qEAspj;h@{WxO2dFFenpG?yV*5LcndSSAp#fTlTRJHDpQxnbN967a~U$1Cr zZ)4SSvIK4xHpC4{mS$SG>CohZyZNNbSd(jeUMBGRIKeJAu|zpE{l6~qJ1aOcFsw0* zF2m}IlYo}Q2&y?21yy0-!OXh6TzgkmDT$Ug#Ho0E_q0M8qdk(gn>%c#1NWSc&hYeN zO*v+_4S0Rd$sV6?Y3nB)BV-p(mqA@Ir6Q{gFm16d(Y8&U5CqEYQ#j-lAu&nPqQy6uIA9KB6 zeEe7tA1*dTt#!UU|C+K6jjgj7qJxi+X3I9UG5+;V-et;WDgWk$0*LMQg3yf z*tt`(#?Zwlx+a@i6CBZ^Amu6)q$Xnpa~$vJpfUa12N3*MDYXc&W|Kbqw{+Ptx(csS z>Rr>G9cpyA2?=r#j;yT(tmeD!wro%IJDIL!j~MI*yBvMJ+7-CbgM_uVK1s7Y#jhgS zI5%Dsr%pZDuF;L7rN(gj+R=yWx+4P@7uV=%A2r(SkMS*@z;g&X;V~d+qhNB4rjFnwt`4+2xU93tswV5s_wBQB4oVDP;%IE%K@VWs3_FhC>jLtoEBN5Y zQip!L-jpW8o1}h?dqi9JlTXXzBU*lsdc5ArTg`)Bt^cL6KDnh^%IHGsJcys$zhg`M zYe>*yN0%4sE0xH`!#LY(u$EHNH+=l5L3?th;rZ5Nj&z(|^uIU#0np2_qNaiXS-w6HnXrZgLHbbS=n;Gx-SHSjw<%$d zXcLcpWViI>4vV{(o5>(oja6-#rD@=_kE(=vHe9A}6#E1LUez zKDMwjpR|as>0s~RiK6vq$)$VR6KW+bs(+K4nc}Lyg?!6?rYpZuFf}s<1&r*~+5IfC zLq1S;IG97;^&Lubd#$8rb(ZOD1`hp$mf@-A?8?kwUOe$!8v{N*qbPT?%?5lHan0A9 zcGrRJ_$Bwm$$bmg)|1OiGfxR>+c63xB&3wD2v6@In9$jG0sLDS{UcS!Hse{c3@FGq zKSAro%AK-o=Ii5$8q~-^ODouh;)+1mNE~qX*v!@S_Sl&P6SXIJ@WRdc;&dTJu*%#t zNQJxr_>i&1j{BO-RrHIuqtzO%2lWV5#EQm~E_z2p{9nd8pfE#TXEG5O;M=w4HsqL6 z2hQ%DjuvndB`KbEo~B1*(+%ko6LmzneIS|BsEQ%E`6q^DQgi}cAgRdE{_TBtMLuLc@{BYhlz=YHNtbIx$$1e#aFt8|Ap}D>(MiyV2ul?Z1 zW=!B6OT0U{4ROSvEiQ9s+GuvRigbR)EnZ!aJ?!vlRTFR~uZ)?pYsp-SB{t(Drp}a& zx3&|Cq{Jh}%bYV>^V>Y3N$Clf%#DMiDN7|8gT5*_2p&J3#8EtGT4sCqpZlpf>HvBN7aiQ zo%+mI9Y@GHZ}(tX#9;>p=i8|>L7|T_ftYiC==QP2JC6E`h$?_so^h^^t)AitK_-MY zM_?-HE6alu7Z=ARB4{|ATA7Xy31PYNe?anfx@2ozo`}AHg4^x(zn}J^sVby9bJB?=)$gLt=&-_--K0zGsx-H zz_f?+gn>s$j#;pe_}=UB&6oQp=aa=HRg_QA$J5kaTC1nuk-+7@cOXK-|FkTdkb6$S**UJ`(kpbq6wR!r z&yW_#hkf_`#GuulX2@dk+ySC+<3M_EGUW91<|C$uLe#wYWLlIu7=tO4kU`V!fGMFr zNb}Q4!J+{V5>5vHdZ)-elt zThlWWa|uaNWb4#&W_W z*@m7pAd}t+qtr~5_W|HaeNJ#xcWwMlfe!r8TlD1LV#K*G$i^@D4oBa2>sb5qQ0pv` z5EdKj?(@GBp5pDN#=eCVZRj!Rwa@d|ecUvRSm=2n&yI3c=nSw2{UW?1BCqinTi}jov6i-ErMKps(gSN6hfCcGJ}jZ9zA@ec zufpqgsSB>FABU)`&%YC{+2p|ZYGm=4|Me?OLE##ROjrw82V`^&M38jE8CJ};8i4BV zz8^vHZIFq|J#}?trJXg*S6?zWo_~SbtFN=&A4TsX+s3bf^mn#3b8AqzIWhTCYTw4Z zbl=`@(L2rJ*(<&q>z6q=bq@BsoQox=n?uIG7k)7}A}P+R*mvszzF7{!q=}Ti4uY8} zHHGFLX~Maw`^UJiUfyu-Zs__=8G$w3@{jG`EA8zHSaCscPqa_`m@Z#VWJ5lUDAfAf zU>dLl^)w{*g~I_-Z=)B{Ea@U#87jw8d8YuDsQ>|S45ihK49^Qwl5pJ|6I!CKyl6?& zAek1M!`>Txhqe>_x|k{=qtz}Z{dNDKsQ9lOTp-eANu6aWK71nwF6oLTF`k_5YI^3w z7whW7imf-&kuSrNM_4e*J^8F* zs~5O-aX7N|ipNj=VrgZ)kCFRkA`1rQ1)5|#v();ZHK@gnvM{J$xZGVaj%->}9Jpky ztr0$b6775#CQp<8c{%m-yW+x*!}bH$3?U@j3anqx61rN5k>=Kf_T->q8)W_yFMc%o z$t3!9$ZP`)^X2;Fko`;HVMANqdxyHT$AXRzsi*gUC6H=xa!r6kguSK0RdUCrnVN<; zLtA&1X-yN|6o=5?>WLKl$L6z7;l=gy&}kMY-EeaC zyKehGLILMjB0_Gb&tgiNhX@G{?XXbMd8pnnp^l!Ng>!gLBQZ{UMXBgp{y$sSqMiQI zaEB&FO^8tuA1T;%$Co^iz?6K_Q(N8w2hP@~VGNjHijxz*_D$ck^A{4V&VaReL?B;a zU~mcXByK`xlKIl(jb1E7ow;dE*%}%2g7Rnv_Yx7h`zr7{&xS92E6dA;f+&b@LO(lIyZ&3${iKtw`nFdlL`I|9&x zjvaTdhCcV7wj;M%OK@AFUi%gymCm_yg}Ser^#qXqaLt}R7>d3v*I+l`MqmDeWS(b@ z-}hV<-=r`){Do{@kN=tmYG4qquaVsy@nhh$0-9Z4bpVRO@?$Bl? zsq2#F3~@@PYSW!Mt)-{a4}xsXvOpg(=g2pGnDd(5(C)k{&FMpI&JXb=#6RX2g;;63 zUY}I?*V9#mb#DmMMIUAk%2h7*&2LG?+4A^gPbcv)rca0*JxNb(u4k*&k`u^J&1IOz z-qf@`ez2m<(sncKe*IL9v)pDcxZiNx2DMTLdsL$(W@18qxr6qWCw|-I%O3oG&h3=d zM3mj>ePQLrS$W{in^W?e0Fc<--o|4zwh=~AgIlo@WjO5*^HTNA4QWJrclz-V<71Kb zCd@7WP`4feGQM%nf5|Q!q1DeqoWe_ER(4Up(z^A9=uNfSEpDAV&m!)mhI98luB3i# zT;&{yNhGFn|;o>FysK6Y{? zFXdTWF9WZeBeUcqT8*s;JzMtofNogU>jhKAvNAa9gt80^Ao0|Il;p+W$rBfJ*w0qo zVe*fMO#0>|hct+biUy(sUdM|ebfY&oH@QSF;DGq%oMKKH) zc)hAYX=!lwz_ef7&X2S&KkhXAc*;-4|pK#JnD`3MLqV7#OW8tlB9I z1=Q%~j?UjQQyG7ZY<^;QW8QVJ7yM)u(kv2`cY`y7G#VAXV{uiSR~6_%I(d&{V{B*$ zkvlyC#16K(uPFaJHRzG)DT!a!WEKt;iQJmJNHq`!G8lIrcJ7N$u6O}ZBQ{wqSy+!- z9_T|S>|+|{LN`FJz(2i9DWln8#r-i|q7Fp=hK=m03+5Pah2wJHyySce`USb^{^|-e z`ud(WkD0#3gt*AiLlCheBOtyAyVBz}nhJHh-W`YQDV=Iasvi4%QZw%ImNioCb~A?%i4s zg4q$jk?1w*j1K4^c5lWY^L&92*lc9+Y~=O4ujvk-6i9ess%-c1@o~dJE1X=TFNfIp zd;;o>T2{U>zXybe4@71WewQC-grvyVoi#1Z%;1KXj8VPfMSvvR-lL*p8hRj*7^?>5 zr~^!YoVmeSL801G?^A#K$Z;N zp7Ut)M}3=oTIC5tA}rBUQCb&p+7xGl#sY828;Bfi`Ta#Dd9}ZSp@Mef$sRs&(Y}EA zobNvU==YZ%MjQbXo|P^AsO@jU9bEHgmPt}wKhEmk(gHsch$b8-qjBntbO@r6=ueI< za-BLWd^Jw-ELqn?e$TOhwMmGrPHffgxKcQE*uz{p39U)XzWjF~(3Da^WUS`zKA(s5 z3W2GGU(ZKWjsSusd&oEXPN;yN2VH1M-oKc{eXvQ5i=99U>K+nl8r>(8c zFv|{Z)X7u)UD1{88qyygZujO{;+w@$!5z#S>ghGz#5(vI$M9$7QNVPWHkR`0Z|ECQ_2p*BdnYNhvtR(k) zrFMG+^4z+^%Fx?cpx|$NzKAs(!{a4|n^}}ipshE$e?f}sat!*_l0Nc?T(@6luGQ9> zxfv$B6oGWkzZptAjW%{B&9(-8o7ins;h(?D{#izAxl{A0@(b#X{Q^&|3`Nm@Ltv~|B?ZCITTT)~~?*6$;J5{xVI=zn3?;JN1ddz6nmehwXd6@8s zLm2Aw)m2T&I@PV~=pFGEh~!D+8S=l6VOUiL%+uBzZ4sztNy<5Ut#oDF3nE|5ehDNzBQSE5pbt5vn8z%(ex|Ux8n>96n)z^=XLZX@U-39dmAd*lrS+V za6K2pxs^M^xtS^8y@CE^({;**DMq@EdieOU`+n|W@ny^-Luhnl(!J}G99WV9odO-s zx;mYoi04FNTtTXARU&P9L^_E_A;)W13%!oQz59csLer26^Km)-j6IQ`l5sBDI7{Nj zJk^Ae0xb3)EowGVsuQz2=Y|F?MU}WXDWrRS9*A|+ke9ctfOel=AwPFeEBG#YAC`(L zGG+?A{?o@%dJ65rgx>K^7$*X=v@h$fXO+(TF=tdG-#Z=Zb5-di{QU*}S`rzT^tEog zMyRPAc)x3dm13f0e{-{=hoU6d!p?av9O!o2uu6D;dHS2{|EoF0tYXi@+4 zo#{6`AT(4bg}Hw7v0BHzu*d(Wo`ksN%rD(W$M5thjFdJ4vK;BVmzm6kMWlltk0gSW zM+<#BBCgPuI-OavK2azeencA^8xVxNjtP9in0n-ik8wa7SZcwJzi0pPAe;b~y|d%T z!@HE9CdI?M3P`rz4(pD%eQIMDW7MlVd@%xqex{^gTW105+$p_i)}-Rjh2WF=qtr0m zl-sd4K#{wDU_c__Z1FZ7@TKkQqqAi9MLqwiGxO>&WS5Ww(IjGNO#hyCaw_43?7xP` z>>ISY?&_smN7bAGno*f4MRUm~t7v1{P$#8aWAMq&-pKLgah7tK%GvAH@;g+qrPGmI zOHx+5t^Z5S&=G}?^iMS`l?W?=B4suE{#R8Wrsdez(CXGC34K2#^W_l>hOq(W&WL;~ zUGEjjMMvIM=L8b|d#I2J841x(SDiKl)8~H4{C#e#YrGz}GpI}YPNX^sQs=%gKI;;o zQsX-|Sj3YIz}EV2k*Zhf_S@(32y-nD_VJUq^4B;YsA*_Y`GVOQw*a@h`o;du;oi$o zjFGCjH_o2{IYxgf#Yw;Hi8@Xw>Rq`H*wyA%2$v_=$<&XiZW?-B$@_9L7=xt=$e<*G`GGr_^*EaxxGv}KYe2#S8(G1#O zA&fH3q*Qq#b1`oO4ZYUjO})@jOFPwXv6lGiXV3sz865n~Yp_1)nK?z7BD-gAVP1NL z8L~9}Zt%{rQNeL{PQP_1ll%Hqxbq?>%G2BH0TbGTwy^i(D!`;w4+j(4B5y_(y2A%KMD*Wyee7}8vdrxKhRb6Fz;fmDcrsZAZ**DL8X?nvkQsWN#4 z<(#^s6#*l7Fs<(KWfpTO_x%xWQgQgghb z$1?|mI>h2azc1#!OE+WU+FM86snk90uGyXx@GI~C8ZUY6|Gv>O>b>gm^qhM=`=~oz zo$B|KcRm8cOMQGK#KjNEMCB+%otua(gcY3F}* z55T_+eEg>p{};3q)d2eD+yNv`n;MVvr5b}t{*TPDzQB>E$dC7$F!2HxcfeTf>Gf)J z%HQYJ+@+ae~`v)%=T7vOf5zNS2QDAFug?<0UeTJ;7JGfyTC`CC{kry`rhU zFeOQ$EHi+mXtl+%=eov){lzs{gI>b5=I*QxKiaD6nBg z@Y60gcc2|vJf|pcI744WS5Kp6y8P+TXK9i%pZ}JNJf6mV{YD=u0OG#{_(z;rqhlVD z&Ih)C&w{yBRcC)uVy{7DQ_yF!|DLMdsZ$_|N*UT$Qhzou7^!1$;&Tu~>X6 z3lZd>KV0$Qtc%SG@VUExkNMrVhO+neK0`s$=U>+e`duZx`yZyKj+x;DUT#M@yrV?! z>$>-y+C6?qXG=AZzl)0SdaWWnXDN@sbBm)(ABWV1-=KL?K36`{-|M}sJd#i?oQW*x z^1aT`ue%*henZE+_u&MAmFgalLro$C%XFn1F~OEz7J`q`MeDjuOIac{{Rp|B7l29AxBqr?T^+KG}>4c*VWCQ zrm9>>0TCihtF7s_M|Sn);cV%DDwDYV-=;b=yZ2~y<*Anp+&mYym>=*bLykn1FgJa{ z_bPr5lev5#g~ixkV~Nb2eR6Ayci9FPUzgk94Q2)i_y<(-t| z5^Oa9THtBzodp{+%-m_Qns4Xm%T0j%}ft?I|Ya%349Bf@KDbw<@z=o4yXO(?}l}6*qx&tmWj^ zdQcv$111i53I_Gmy`;-*cHl$l0k+IPVLF|DBk3_9I~`_`bLg6gw%r&oXy(WeqO zS%2t$X?Ih=@h(zh^dsr$>qZ~yFI~JxHAbaUF}%AFOz8CepE&Ve{O5Vm#V?_+hQTvp z5wK~ya2Zp$k?D$r_hr-vDvbFQrKZ~75eLd|>puM2(xn?N25Q|Ova6R$^)EfQY~LnO z`~&g`I`2*=09d8#^3QA?Irt`==Bo3#xc;@KoGv>%8$w+nKlfuv#-sD%Zx+7EK}5E$ z>%oujH4=G>Uo$7QMb>v592V44w*fIowOpHTJ<03G+gQ!YO@l9B%0EUP=<`>_J@tJP zwgwRMsi!~Mx^F1EW;TemNms1=PWh`NklQl1D_?>E90*@d2wFc1=Lmp7FJI0btbqHf z#BG`zPl4aQlKXk*kKOp4mYH?NVdr;M2FirNhYLT1S#Y89-+Xlv@$Y#Q`F3tKvp)B# zmR45#(}FLrfE@hg^%XEiDFI8ln^QAMyceh=ijrnJE6%97bhQhLWsN+fD>J1|M6^Rg zL00VA@|@%hcq`-|^8fA)4-_3VW(C*)fKm<*hm$cxK|#8^BY8`R5xeNTi_sZxrb|Nz z8pY1t(zk3vU2DnAmiueX2MYm#_eTmOtO{-%jQg*?Q2tk6idTmuWkD^eQ#{%7`Lm_T z)u@~X9jNGPVnTX{J153h_E2|QignuamOP)dO6ZdyDt6^OV#mXaS40ZMFMdpUKN1~U zZ+XFrIyRgW64r)IIlG6 zJY9B6(Co`G^_)WyB7XtwWbOZ51cGABZ(J>WcCJ3MdY%RU!TI(MSwHV_5iwQ!j;Jki zSbs-T2;H3)BvIr)_$_Vf|6aagBR5Et%hGjz zcVp`GKxnT9&&)vd(lhsnzXb*GUQyRG_XWIvk%}>!K}S~I80sC%qXo3mJ|lB*SAqG{hM8tf}wDkq_&P9~i9|FI1Xf4eV8#*|IF~3hJD2ZghnLYO0xcfifeDk^x zIzhMS&G0}ec_$`=uD3md$?<+xaw<+mSmO9IR#(fplxba)-UUhCJFYh2*n~@ga^T>4 zTB*~MLa^DBJ>vhw5MV~)zTwLYEI7TqOLy0$Cly6rB^@I(ZJKlN6l)AH3CKh@Idp6Q zOy(ihP}Z19?7poifS9l&m1r<6tgJ+qTocCjlhB|a?5fC;)w0fN=4WctcIhgl{g(p4 zCyj@ilZT^GPM8|4laG>+uhHgISZ+OD`;Of=$7oqhIN{+&-8bg$fUtMBULf5ntP$`Y zrzAxF#=D93 z+Ew+PIQcZK_&*gHKeZQ^<37b&O;^^#!-JOZ2hbU4gV0$H@{F3vY7{*ygHcW9&Kc6} zO+QO2bC#(B1yVhz?gB^erqS}s?EJ>#l#OFi<%im3z5xy9R4bkaKGIjFzsdR1yN~5Y zk32&6ki`vhbx&EA21OM$tx358FMPgeUkJ3-QkV?@ukno zjLeLw>)j;nP@n@acsu#{%5mC{@xuJ?f#hRdnsbE~+y7wjsP9wg(+Ot|Yw__BaTm_L`xSpBdeg1oO7)d33Vf6IO9tP65Dj`ls8pOw$IBOu6_I9tA0vp9GB+v{?=mhzWNjTC`hW8LUBN*f zSf7L@lsc&@G-`^=8iZVEqNxdu)|&4i$E*J<9`Ta0E5*J@i@6Ok6`LI~7a# zE)0P17NMC5k#%q+JC;U>t#YqILUt_;)?E%we!1SrX)U?ZpMEZ(ue5rOP>ZBlP>#^2 z+hE-~3EmxcOIEfMe7c+l)}NU7khq?9Qw79mFw3oV%2Xq83_Q{&fgxg1PXxGn_fCOx zQpG-5?FJvVXLicmt?ugnQ|GH_3kGuN*-O^Fu|eSTKjMB>NSoO12ovV=4~m3fae%v! zD^#YnmQOAHi++;58xn$$ei;y4c3r;TRJJh6kCFFT^WYu9sFA7rCUVrE=zHr~^K|~K zFsXg*dkB@lbD3bqtiU{Z_i0&udB_H?O>9U+d2#x~MOpIh-OOc6Iy1;I$TCA^QHU_{ z*{Yc~e*TwifRt6gemw(~9uE2HbL6#qRea=0Ju1+`M}YZ@l>HtgMJTPXq!*O!jdKCK zTAr*OJv{XEhDFg?+1p>X-mxN68t-06rr!yZQ|4HC~l>!Rki0_r$KBrKexCc4il$IKyUwD6mbo zi#9?8Kq7-nB858VWlQNPPYR(Y;(BJzdglx2<>m4xj^8z?UU#RJ?JA*ViJYA|u7jC< z0_y5mFFURTy5BGC!E0+1fhYp4GaZ!aRBX^xWpIw9O@ewjf){JPSVcJ=7s)C`gYi#~ zUYX4YPHkG2i|Po@T1ILJ51CA=54@A+r*eND$`?f~ITnZ5sd?ix=<0H<>7wULhi$4N zpNQc=;hwZs7b_~$tn6~&a%8oIG80BwaASK{t{l(}UG{wVt*)-NK5lwHza0rGFkk~} z{c+eCow$ax^Q1rYLk1olHTj!tcgA_DgmUOecju}YGEM5&^G-YE5*~lB9_-p1xJN1% z3F=$>;A^4>cG8qjs1_?cvgvGV^z#~LXqnS`=qjAf$nu#Uh!q}gzI{8{P&sQ4bERQw z0I<(=a~(FY4f5}wA22Agu(k#^7@SY%Y3EMZ^AshE`!;_81vlOOob&(Md-i{(_y0#a zB*#5Ua=%L?Mee!enhCRVNhwFJ%l*E&9Jdt5{dQP5@^OhIX%?eeJ}QlvODYT3~{uf!38W`+ETx~ z!jyUBA-!Hk&;9J|gFt&I+HdhI8_eQ8TiztvkXBco3J2hPx$fq5k4asvXtaH%IIafF z&&$+~u$J_I3ZAq}y?fuZJtxq2bnSwIn$M4aoov6|;)My9k8yQT1#%4Of3>Jli(Oe+ zN!Y1!3D95PaB1uW{govRx61_52vL5;=2>kXe-3!vg0hHYOoiS31~1nh-$?Ja$;o>! zToKWv(poil%`E2I8@@LX5te1lyC>v5Xe;vfxo)}$e~Ka0Ff9@vTjxkzH#3S{{ELWM zKI*f>89qk!B<+sBx_~VHC;)XAGQ0LyaiD%T5i{5Vc>j*exP5a+(Y%-)@ z9mH7ag*|uuo6KPCgQ1@OrW+?9Y#ND8YjI#z(E#-0JatahD21{?ByD%w8G}s2v$OT3D^xH60QXWE%PtAJ7$ExJr$eeLo}) zqT2S#i&M$odwZ+?X1CYL_|qQGvvPBD)lERjHd@Ylr38Sg(%2b7b zfH8X$dQh~s77BvUP?Ifj+zwtF#8JlEL2k=<{jJyxl0`e(gDnUEp-U^>%py_SZyIxv z-d)w3_@Ri$7LCIhZeu{0NbK~%NXQh zN@l5z&)b;oiU1=y2FIG6Nuc+%cw9XzLWcQ#VYC0fq#3SeiW!4B{7m2NaOnBoU$J@PRpwNAaXRc(+!rro%!CPvB+$2 zF15dR2xFfkA)85Vm#BDL1^dI_peKW1vMueiN0yBH(a#Io8TLkG_eD@Ycu{>O+cSq8 z8DV)J@F3{xg_r zRdUR6YqP5frgjW`nG0$pZ6#RLEOlYwmQ3tC*LcfyO9zLeV4z?kSqwctO=4d#MdzI| ziXJ8s@lCL1iFmkjM;1_7N(k4tzn?F6bXv!JOwY%<=?%^WK6=?mN<3Sb4|?j)*M+Iu zTNl00t`E%G5(#PqU3Sr8LEpnMpPKBojeK@Lm+t)A#`JZ68ZUEhyLW)rMf!Ap!V8$b zUnOxnhkWdSQ0IEp!G-hk-Ti%^FtZ=*zw#M@^84m6t!*! zVpGz~w0K<)mt`>~CtlN{DcdY+6#DypH;r@x^$_qjgx}~aE-$~<5in&<5ef)Y=9h`y zcV=vg*=L||GEFz-FMt_feF<9S4jh~*ZDhQh0a1o?8I7;qP%ia%KS!pEI$lOvWwR_E zJl7c-J@w+4UwGM)#XqI1+#kyvYo$-&pLy0?YWI+TeEM?nEw-m^gd|M>7%n9$Q-tI~8d##VAre|FqQU*>mA!#iFR7pNfVnw(1{Pf_6>Imky(g+r<3pjLrUA z`G0L44}K;^thMX#UUv^|N$;aYqhZB2Qd3g6)_S&Y0C(zcK)}KV`oK8PjBQ}Hw;=RO zkE@BlUWx=r4?rM%7H5k;o&#!3N!0Gt7zL^!&hKjfKBvx}SQdak=_V6YqsA|jM{PN4 zG<`x!irmXuqX5(7-O3h2AGM+H6**#^xE6t?RFd{ojG|Y8{q;lpfT0a4G_^L@>?I&T zxQS-p5ft`S1uQ6Xs`$Z7eXU(5f4xh!lJ~?DCz3zw+R+h`4IdUviOr`cQjPZBnC%@B zGX4Ppi*JGAcW=4YZ)3_3$(1p&x3o+D`s52MblNKf7~eDY60x1YyCQ(9z6G|9ExNV?g5%LqM}izA4;_c^sc-JnSL>h zJ;OX@!I3lBR*Vu07_1fZT?)BJk&OUcq^ql&N}y6)(YxXx%{YTP*ave1Hr|RspGMO> z&b<0z0itdGa=(tE5cdHL&b;LBuPP=c78xBKzVf8&^TdRWDOwezAD$qR96m7$+^pPz zpcc*ks+Ap3k+`1Y^EF-a#ypO_f}6y~Xmf}`XDW?qvppTs0ef3(q^_wR?XddVc2tkSG^S7}dKWH` z!!h4O(8}P>!R7$U1&0+Ra@GNRSAd50XxbNRI9w7NO(PGOvCm>-=qkXaWhTL3BYMAI z8HF4Ne26|^q5(g08z=_eIevK%{p-lT{*j_Me;5%4Z%2?!If#}?+Pr!rcHuDSJs=ow z2u!~Sp;*f93MVBc?fu9!`$~lSD1#3Gtb~tV(Qm&!Aoz223PgYoJ3+Z6vus_~2@8>W zc2|p@iKv3xU#!fBn`YnPI&tzOr8ehGErxl3pyno3c)T&lJ>aXp-R~lp@?3#y?0A8p z+%<1uQL!sKyk39dQ%*drm`@edU8?Q>GX-z`1%FuVp{EG10FR=QsGLsn*(;YcI{A*- z(yb5=zK3?|o014)3rh6Cb4eS$2xupWZGsNjRxeC#Zm!@JN5{LNp-$_uUMvP-U^_A_kZ@h9gmVv7jj(q(1Kte*|d3$@l z&-P9IB^+6`aBy*|!#|$M@av~SASfv#b90fT-Ay|hjaE@vSxBP8<%Eal=O5{oJF=^x zF)>|_A3xq??OSOF>>2oH;v9U#9@7p(wGK`@hs|LS*z5G*^QN#Q9_Horrm?c6!v}usqD&U8CHwslML20PF~j+}&K-OG3B#;53d4 z1jfgEfQos39_}wwQzK+@E$CR#GckF>V1)M|_dS3yXLfiP(BRnUXkB^v3B2!F=04ju zmk+|93gNyFnuHwtZ#ox@O;0xiE_s-nyZkm=Y?($YUg^Gnxvo2j^&&7Z5JZliKYLbN zP#}tFtvukJTzHeYMVr>gv^ImWru8oB=@#McAhQH*3nCA$hsRZ)4=`Ox7sULidl9XUW1Jv}Dg-H~>FettObn1lq+ z)|GIc-{#xg3MiTZ$?A=6VDOyFRIob;0pgNWNC%8Gz9$ESvy&^THH+i57L)Kd;kCd diff --git a/notebooks/figures/05.01-regression-3.png b/notebooks/figures/05.01-regression-3.png index b3239e992754bf4a885c73f31624d9d393aff2ae..50f2e557559ceb76b5560c7142d876e16d115424 100644 GIT binary patch literal 33285 zcmc$_Wl&sA)HMnO0uLVC-Q8V+yA#}faCb=v5QabJ$PFC(-rmmJy4yNwT_D=5h05dXA zOIJ65lOq`i3p)!36Pb;>yR!f*>;L-zi<7H0D>o8&7z&CEN={Nt(>v>|1K>=w&Lcfklw~jh0Nh)F&HJIul03V7otphmqV*0&@X9FsX4Epz>wp7F! z=i%M);GbNPL!X=v%7P?}Q1LufI#0Y+EtRj33#>?S)z6CmE(9?wyRi^M#cL_m{{Nqd zWH$5kO!;`<`VdU9TnRilHU1FTaej)Ox)=R8{3vK{evBPz%`|9pk8lclS<@Fr89)`6 zrQg?55wE=klYW4LuFmSGW)~MdwWn?mGMz9`!@=X$A|Sq09j34%00MbQS=sKZ+`wyOj_l=*nqcF1p&S;m36?mGd7xbxdox-@9IbUBF^i_{bMbh}<(L!$|{&;Yt0!nwwMNvKVw9-d>M$ zPSsdXk&pprZS3s}ii^WbOX>CW^?fc{53gR{?j9a)`bgh@cY!mzMq-+4+Ul92nm2us zzE4gnukk(>KKYA0oUh5S;q3)|Tz*VY#tDggcyJpU8n#~#5{C4d`iqbb#gQITl7bPS zK3=Cjkh^(1uTh}hpW;5!zLIq-uy*t>FXKU-pPviej&nZwcYZtc2gUHpQephNPb(S` zeeDxw^v$6S8P!Q7DDN$4H6t&BK3>`(dw;#Se7`7jYiw$|8D*@7ViOWlWWy_{u15O~5g`L3 zX<-dzpkw9?( zfSy(*M{V8CnHiM(DH%66PQQmUF~}-NgfsMYQBhF7L=AY~jL^<_ zWZ&GlDrfQaER<_QLv~nPTl+<6j*gKLv^SDie$fZfN9@+6@xh_qi0C^=^d`p1|EH5b zh_L;3Qqap^I1(PS5k_MjJGjT>;t~n1&Rrl|P)l7s;l&TK@f6E1aYL6US$}8f0=r0u zt3r%|-aH0}hS-%b``Gy0kA6FB=`anBv34m21&NkwBGOwrRwTD!uJ{s)U!9voofQA~j9TkhOD~ z#F4#Kp0OGfh-e}tUD0+)-><^6L;^Bc1Fxf63|Rj8>dSzu`P1rBr?i^dm+b89 z*SliT#y5Y6#R>}xN5{s_PEUV@+%!9FS=rbOd%`uTbuDiE^8$#JAz|{J!RbXM@CMV? z&JKKLEgH3Sy1(A)W&rebSg~&E^PnR^o@e}RrqJSkjDd-XX~BWN>3^$)N+R^D2%xE{ zX@d6|5~d&#raJJR5xH;p9_jPX@$vDR&9gX71}SZAT+yc)s5HS+#(dpI>WGt)DtBHHmzC@_`GsNLeaFMqK$FfcGi zA+RJq$JKci%6fHDUVSs+6o@&;Ra#QAZBF`v2i0{e*wy#%bx!ADcGIchGD~FE1<(gGs0XHAJiS&;Pwt!}abM zWGIOqUh_0hl*Vnm*1g?0sRK}Z*?ViYmS^n;F~i=zd%6ujxTUpEr1dsj-VSsHjs~_n z3Bir{e^*a92M{Xu zS$?D8o9wwZ$Xv2Mm(F}KI&x}O5*@;_3_o?v0Zz2?_*^KvId@jU(CoTb!5kdUA9?2@ zruk8kSh>2o_PsR)zl?ro-k*=K+I(5qa=hni61IhFYEY`|#!)HKGKqR4slZbiX;h#kzB<_`w_Pdg+ZIg-#?zl~C7(T4EKJo2rh;A}(wN-m z^C||fRA@4Xi_DsS+iSVESvqK_JalF;y@f+p4j^i-m0o z){zyZCG9~Kul)anh1mVqP$qmK{h2(yav)?}h{g_K=3_+mOUCG6jst!RmGm4iByNFMLu0*y!8jSGcv0j;i;VCIFtu<6T{w+Vzi#bNS@lG69yX;`J*G~w9Z z`>O8g;MogQ4hX~i>CboD;~#`cjN5jws|l8&cg0?7gF_s-AI$+7?f<|&_~gbEWVUp` zW+W!UXq{~B*Ca-wllR^v?r#ehaf!pgV;~!wHu_0}?t+BfJQmGbq`S921C5)VT~=R? zW&Abrr6D?7JZ~B5Uzn%vs3j?wU<_E5XHQ(g$2P}C9N3V+XB%juvX%VJX6n2iYE>NXwB4qdl66tZh`Xflqv3Bn&&%z>UvUJg6 zsBf+&_;xK~k)vtXe5HC;M(#ifV=n;9!uQ#G8CIMx#(D`ptN(`s&>roFVR4h69<`6# z)VG?nYQszkB1!UynNavptlvQWYimeADLx;U~B3CSGs zJZ~~pM#y>#^GZU^ygr$ah|FpQn|bkn+oa(#H4c=@Qx)Q)`&6{N=)y^Fc615iit8O(vu8Jc z;Q`Rzol-%y|5O!$SYd7SdnvwA`}~LwRc4uq+(=~v+m>ihdaI^wly$Kx)4w?9g2u)a zHRBy}-Jg|zwxmT_xR;tOjOVjCtr6Da_enyZjWLu$^j{oo88b*D+Fh3<4L);BQn2xF z@MLuuNN$~yrEew4*?X%sHA_dv?xY|o0~D0D+~rJiXDDJSSl=|sZ7*7+#Wgi=%< zd6r;9{t~wpgJkE-n-zbI$|2o?DKR8{XJO|QdC2;E#q~2_O3CQ*(u(2>t)m5ATIRmY z#!@REzi*s16LEViR!UTn>N@p2qJ6mOYKg31`HWyp^YxzLP~*F}{;&vrD*sj2bbIEOU8;I{)1vNWaplyahOt%J2}lrhSEU3CRw?#1dI;wX4E zvct&V5!bEsu8aq|;ad`J5t9=p=XQakamh`GLl+Dq9d3g6Spm9}@y<%AS%Ze^uf9Ep zPtuy`;o^DDWR6y{`sK-zICu)u&@DJQI+pD?)3A4vyDAv*bW5g(*!dH}9~!K(H}u5%aR*bR&OnXG+6Sj1oI~W-qn- zL(;tJIU~KdP~64es*;err?WC1l%DrlJt)uQlo>+Zj?k8`=2x4aU7;F6Ms5B}Hci73 z|K3?cp>L|-gdB65ssD4FdhRI0L`8`@?!uwxP%92+U_&NgtchG*e%K&v9G=Xa3}#yd z^#WDj)Tr3Yz1YHJjiEmlJBe2$r#{y%U?D>$F|nN+ETS&Y!~~1Eo^!fmqYKac<6yu| zm$3Rhi;MI1&j$=UWhi;QS3M_(qFqho5JT)TgPJTnyD{KD5j|jP&}GNhK@K-jK|>o@ z0}|yhz26uQDc^1;ub{$`jUMI}LjSPq$Peo$-EZ+RJD(X4D1XaZil;j>Vl!|ByL?CU z4dV;)qr-J|(o3kCkqfh?@PFSyU4Krnc=F2_Zubcwdg0d+_Y}~Eju=NR*B?r*o=}*1 ztJBlc|FsrBfBO5Kdzj9|@*_78KB3z2e!K~}kHg#VCO{Ezkn~8cE8*#KfZ;+JCjq>*>J9B$+UA705;uHDQTczP1LO|#7LidQ}()KrWiaWQr7zphQ5Xjx~ z3kfs%uMORsi`Wq1A^F>NY05c$elkzA<)9t3g8XhNayBKVJ{RY}&;Ec$7{7P$p$}w0 zr=_i@!=V-O!%5?oFKK>G+b~fMHcGEP4VW-78?WsU73qFY2!M;p=Hf)|@AJ`a4r^!; zSR2dPeGVS{jL_C0WYm#4RPOZ&tWX0hZ1iq2WokBp%ucCPIux$G)!CKPH>bvx`K{Dc zcbzDESJwPoI45~m4AiOjBjCQ=c>fiAnzeOpU8OzI7W-U+ouBe&f+4YWdTfWY<_K#5N#2 zun_#_7fPt%)C2%_mEL~?Ew1~l!3G!oEeam;v}1X|TKW^U(1ps9H>1{cTac(Y_SeoV z0k_)lP_)_zbaQl66bAA$5I{S3G)QJG`cJI;)YSO=XY)j5%VP=lvZq8jbR`ZThAic& zhf2Wao9y}fHKQa)z59?ry0QvrQHbmLQT5bLdXJq-93iK|H^f*ei_)R6wm=e-0H!BB zQpP@J&DW>h7A;;e@_G+BC8@QfFSZURBdYAu=FCrNkPEz1Xs0-Y**g6?W0Uk49tJiT z`VzVBeIH5eR**+AevUDh3%GQu{~Z{kKIvn%UXzAR_55;r*H9R6_mR6otD)wMOc;grbhZjahR-q*@3yl-1fneg*HOJb!wO`722Qd zPQbyn-WtQNUUyNnnuYvHctO zvwq&29AEp-UyxdeQO$LtEg01~|h*3t(X1x|nU~o&07p9U5RVKofU3eZYizM%8KO)y~Fl41_}5 z!O~GP$#jr9c-ga*fODa{;2$I?m+jN53<)fjp7ro&x!){n5rx1ymnnLW@ZUWAhA=U|iyh~te8|@md11Gba4wa$=w$VV zYM9!rhQRwr%z>OUGE~{?(WRU0XuQ1p8x#pRP%H`26`Wz#n5QfvBqVKr&z_k^*tSQv$!n;g^PbWwuw}%GCZ|{pgm~ zuUw?F0axu$4YtL#%3&_fE7c8jen8}vp^2cG zQ=Aw8duWrgb_NMw9%4uOh3frq_~ME7mCOm_#4K~eI}|&bNz#AG9qXX+_D3c2a%NYq z#@b+{^|QMunl{n?4)()nR?z2a-s*~ROtL*@GYbA@+b=~(G3NV9x?Q?rJ|>~yp~cK* z4+op|#Uoj&4h_z;Dr9Do#Dpc5Exm7#V>L`P6zq<%inU!Lz~IhQ$n$rYq0jM%41>B~ zW79xHh~r;?Du~*vd0HljQqcZo$LNJ5q!&J+SgF&~p@WzUekC^!#?)~(4EuCpIkMI% z#F@YPhnH;t_$dPmVuu0_klaENk`hM3AhdM&10Dgsl$`6)iody#ZQlwTJ~uZb`Z>t4 zf7-#17Al8=)`U%U3MxXGn-M)Kc+OK@clejTAyNSd+PT-K>;-<9>fTLC^9im_CEh!@ zYuX2LJXkr`bVl9=NK_~eqkoOqQgFDwF=#1E_N=h=%8aNace1 z)uqI{U5tIpo^-7UB?2rxD;IV^;d48R3~&iF`=!E-QzNiqpSLA6WEc7K^*EmvKO=)W zXHwN@uh`0Tzw!58d%>3Zi{1>n0X~rgEc z+X}29U(}_ekV(ImH!cok4A1K2d+g4?WK;)&?fV;;+S{ViH8Bir(tPf)p?gQ3gwr*+ zl6O~+U^%a;u%)Dk%BubjgLLb2X<#SzEl&l)X<*~do%Y@RFz4d=j8dcOD00i*3YT3W ziV#xOnWe~(+nsfXsk*0EQ7p!2XLrxc(}9JB0K-`AdHy2tB;Paa9p0!+OpVv}Qyz7z zIS%(P2OT}+B8@?;6PBl(%7i_j*;3|>&MzsE@Mw_Sl5jAI2D23UZ#tV%x~AA4b_r1}NwmBmEh5KPL9d*tOto9t?aF+lE@ zm3lkpqDuEUO@eauY9Zv^i1`hSz(|U#q4-}W&H&+6`9_+6e ziDY%g(7<9uBu#5-_NA-BXXpqu=Ld}+{0pF|MezK*D>1cHr+VlhU{Zv^7bfG z>OGs2GjcK?gXbe`@a5%*EQo*?YNoGH%e9r?#S^*-B6@j-cn$rRIu*pkyF$lJD+3?- zAz^kgCMf}}Xp4eUBWmcN56@A0N@KT5a!&l=)A$@I;owM$>x)~Iw>-mo2LnzcK%pG0_S~9R+*PkkCZyS{s2y2U7CVZpqgr^88EN+2>aAZ zfKyD`>ZVCo2btEf$}TIaek0ANz(o<@;#RfA!)8Wbf6Qk-f}e1(igt4BF7yavr)!cy zfB}6QWHl@Iu5$U(A2U$9D;+kbkw5uKAwprUlq%_bO4KiXc24 z3y8Ehqr9Wi-O}k!{(u%rjJ>^`DId4kwLxH_U%{@}sU3Z5X?WFlYMXXlODZZ9%c&en z0$lC5lg4SCLz~#J1ha(XvlPmBvE#&C>jm*9RG^(KDyDhK!238p24;NPZwi2(L`ANc z#S1w@JUN>tgD)#{cnO0EWFn6j4~DJX%UExltn!e?yWqm<3}Sd!gC709@$IIP1IHQX z)`P&!9HvP%EogjnZm1a7TB7)NT!rikIJ!vv>vUlqj|W3iUEY0X#BgdBTsV&W!T%&e zKQ`PnL3)`^Na>L7U-7(L<_4YA5_xq>!lA`+$xp8T`^M8fONQYA=1=_AG_w(_korQe z-G(rpLSPEg4=mQri#=8};Sj-GwZ^(IFP>z*4IUM)>|VBt{c@)NV5K*rez2r}=yDR)luXCcqvG4v3Grr)5 zySMFDMs}TpLPhOF$$vj`Xs1q!o7?c>2G}YpPGlTuHF1SjXZv%r`CPUfNGAsp+Mnv9 z?$AQr7;7S~h^pHIvh!-wnRBwu7$L>&TE`IdEV>V7p$xQu!0W2K{Ji?&Cu9-fmO%tv z)FdvAbLJsx9BtaRY5Li>EGAL=H77Q9OJEr`!k|WdQvhM)DEO@i)FiD4#r#8x+^D(e z)?$OjfKlWUgMjb}{40*;}6oGy-}?js46oaF{=6Mj|!BA20vql!0?;aOASQsI`9ikD&;o zbH#RJxC8Vai4cYWB6Q~7y^enUjb|hg8=h$xTyW~xTzPJ%#Zkuf(96H`p7WOAN z`w5K$H$M44_lq(7{K5U=1Q#G-x@K6XBP1o1PP1+N@u=eR@dr80tj|U~e|Al=u(@@c zJp`TWi4kz6oxrj5$i1$uKK0cfky0h;FYHNxownAdhWbwyu1V!hE0)B2v4v*^pTE9n z)IKmWdQoEl)IHM2uTt1uBt*k&2Qwa?$; zH-60ZMdc66k*P3CQ=KbN6z@}_Oq`R7Pf4SejxF><_g~~?!+zbGB@)4&O?&-!X11R( z+H#&m)!!K=O-QkJlN8UX?tonMtv%Xe8fpU!ln_WZ#DJP-Cy>wx_uUJw9Dt%3--OJS zx3A?`q_kVRaXVKId{TT7d%u0)W=cm{oeAxROxVAWbKStVljU_V^;h3*wtpVa2QC}x z)s_jk6;}T;i%UJWF#AT@T;%e%43(Xgae*|4JY`aK=T<|XND`qZ`3L(N^KyeJ8wYV= zUON@<&?|4>!4rXlmwJ3_sfeW4mgHs}4pt2$3E~Nmh=R~;Zf=l$PHS3FdX?f_&=7;@lw;GtJ$Q36)=V{5 zG}4%^Ry7fAE*JHXARilca&7y-nA!G~J;>*YOE?}tag0Ttn|rWZSHU{k(^z0f5LEMl z{^0}CWBDV2AQnG1QT#|GIh6>a4%vQOeY}1<)n+RQt^MFA}OV(o}ftRZ6LrBU}v~LgvL7~N<@>W8z|vn2#Plc zHXW9!xv2b07RU!R5)IN?#m9%A^&{_~!WH7wj~l0SR~19h8{q8#Xp0H87q30GIyk~J zZ1L`qkF;TO8Pb!YJe>U9g;#93YaYQE%^iHzRe*-n%8r26ByXC&>X&CZDim}WdQ)rq=lzUBfs+oIJ5`P@3A z!-`y&JO!q@X(^KOBLg{KSlrRf)2uv=7WRc)OmG9^I?!$$)iLg_&z!ujF2aS8VS53O|8A{DUcQ|Yoq`Os?*4)f*x!HIXf#YW(|x^Gcr?eOZ;YOp&_YS_ zd-ac}{Xjaie?@tu_=LlaAE${*2CJ(L87w;Pq>I5LUunrk@LU(ds_Cia=C&u|Glkat zE#@ZebZ|Zb!H6@O41SY7ezU|m2f*4f|Gy5r3sTUIN@1;hT;f96c?@{ln&zLl2gD%A z)12Fbs9aZFaW=$`64R$Sg9=@#Q0{r+Riptd;k0#RX)7=o(-UF&gMI^KI%sYFI+IWA zO%!Z@K~qQ_7YBoWro7%@yyW6wV$zfvrcA^bF(e6U*F2xLm$Fs*09BNC9{Hak_ z=k{X=22ol7r@^3W>SXq;v0VfUDbX%oK}ZYC{?dPh5_u!d@n4|Ooe2G0_wSWtD9okn zV-b?lbrrimtDcI$-Xw)Jt2w#A^`HPX(l5iQElfXtEF0w0G^Aj!RHS=4_f;^YQNcVBFvVbERn}{51!`hrdUP! zb;MmAOqk+I*r{gm+rnu1)s4;lT0^N2of>`@ppu0IxUw(56cG(XK^R*%u`!rcMB+>6 z1IT70f#FFB$KwqSe*I}Z8N8qC({+8#JE+E~$W{26rI-J+%wvCzv~G>4h35BjCbBl`8**&|0)uF7A&BH@#rXk%5_% z!0FNVIWB5P$<00czPc7+k$szPtOv!IN!Qa8vQo*6jAstd^Xk5HwYV)osSUA#wl6$r z&7nL${&4#K%$&(gyZwR;Ds^c)aJ*4Hav5E>V_f(YO=B&~_v=m`aO2n#wfI#yCCPnC zi7h=6!`Wv=!yrngqEeDQCwlVqs5(aB$p3JanraV*b~AGcj7^|O1GD+nibae#JFl>DBys^DS0= zSG59(9CiWq2LX1DZEyOD#bUk5^;Ezxa`<`7fniPX6+_ev@e$vDf{pfjDJ$aJ1$AtGI$F_2K>Ji3STQ0hwMl zNL47Wm5z12O?l~VuZ;as``b>FTEbMe$@|nOetOt|U3N405v}^l>C$-Dc*@wqn}_i) z5yQ=`jU6Y8(wJdpm8Ar@aa;h_nYd_gmiu8*yOKND3=XoR^-hiufKF?rE~R;byw%f! z3X8+}-o+Xp zC@$K?AW)FU`z4uD?mbKmV*Xi(E!kE zOAq~`(wK*ZQB)i{%FU>K<6*&TZd!F^_$lQ-E!=Kz)J8+cdQ%T%(A23~>TTTb;bQWA zp~c6`7~G$=+4`pB;1N-2w%^v!#MeCC3Rh%j}Z(&o4U}5t2wOUCr zo^I^4FeisqSs*^7?K_m4N>v`gE}&w3UE8hRm$smA3PKuDq{%GCnJAFO!hqx4E?W8-;V%cE|B2omlr+z&OIjGq>I z39S|x7K7WjaYT*8PW9d|+4}vMrItweeKmLl={r`BcrRY(uixWUzp=-s>ui!{0rZlR z7)h72Ay9QUmQQd+Zd|r%nFTvdoznc++a2@ApXG1j5q@t{I1-y=xlTU8<(z%%zmPH5 zcXhs|3l5h~leinWOKH8NLUF-LWyD=R`VV`%qCyxOb=N-)8MI{&dzvf-N$uRLW11BF zT`}~s3W>LgpF-wb0-Ie#Q3eKJ*Ga52Mi!?2gffeUpX)2g+rm6Byg}+5woZpn>qJ{X zZ#YHt^4(KtX1lvHb*Ht||nk(YZkfOtnFLtH5zs@zJdYdXqm(;{LvaEG9&SX2Z+0WMXd~rNf*3E65?mhfTZ3yjy<`501;!jv&NmqMzx1eJC`j z^=NS=!5}GfsQEU+%M@k95Xu4@*i48^P-Mv*C1B8^MGj{fNUCwY0L{{dPE?{N*e#AA zX6f?XeN_?x1^D)Ljc!nhDt-J9fFLC~2z8{ut)n4ZyreCJvn$}2TeYDSLj0{;Xj!Ds znb(;DJpE!ghe_sl!#?v^x09IHS)1E{Jp!cyJZCK+|%v>nh(YCf*d|Gb=2A)nKHW;A)cIO`39)TdG2bA45dt(4;L^4 zX2kwNexZ9H9gr)=Vz9gTcsyN;C7f~Z@pgUZt^Czbxy2(p5lHC$u{d4VjSAgjARv=r zyCkfY*J3De?y#_aLSlUPHUXODjwK$YDOI44kWR!4lLG+0JR_R!XfpH-puMyN*b(*B z(4oQcxm2Ww`M#+0=>J#)nJvA89d!FjaYD@~A&nz+cuF>BtbhZ(0;lBuBo=qn)U($7 zYt9r%X7i=Z9P>!Lrnx27u!o_6`dflWUM-{QMCizWVIVi3m=SeYn8)@UV?Q}+?LKph z8++=2ohr{Wr5~ zbtZZ+I3|<7Yav)SD}vSs2#hO!us<^*bt)gqKW_K(`#s)n;}qb-u0mp;KYY45ZzCZ{ zBCsM)ku!>Tm(X!In~-&6^Ea<5I${RF>7y-5hbgAWvUw|($Z>Bto(75oKQZ_HNy4la zYw;D4L5O>Z(8=>=IDO;H5y%TO7g_nQ5r}w3ZBcn#c9xJ(;#b9wnu0x(5l4b3#Gu4D zLcn{+<);KI8tWu!3{Ha_{A~@CAs6Or#`_^F{0NyvE+Z%mIX5!9w38_L5~L(HBK^%J zYOaSQO|=VEHT*gV4j(ik^P)-KI~d1$kG!ogCk;jj2djh--9v@u(oDz@*nTgiN!{&p&xEtn| zb|P0VDOvFJl#6yHAXOU=m$dj>qJKAs&pc{l7Z=Kz#IJ@^oZIES^r$ay#Bhk&#u=ED z#;@@((?&qA32-Jr)fYd#X5V)jyR3I*!aLs6sJ|AioMMF|^De0SNoo1tV1kCutW;$+ zLG^`hie20LbzM8ZZ(>@!UK1I6!GNZ3EL!mk{}|tP}UW9_ptJZ>%K`-~E zFZ!#|9QkG@(YBd)S`t9D0LZU4(_ee@`S(imd$j5H;+^H%4+yyiBsGFC7e)rcm1O3+ z?#fDaT|#!rG*FNiHJ2!W5%6r|E=BF9c}2>2vh2cD8G z&K$8; zIJd6;qiQXAK3-F6`EZN=0ko5a>$N0HA6VL9!C5;p0CBty86>My>43@uxVeO%+WlsQeUHYQWu zU-s_18ZT=z2X4^<@I&BcW25blfPJDZ-#4Ml4TA0lUGN4`cAa72c%k}uAr2$V_<)8% zi^%XAF7Wt-bf{+Svp)Qr#6#EG&I(^?Lr+czcR2+r?$wKM64uLdR~JdM-+iR<5_hZz zmmq=Iz*|p>6S-bWs3~5{0r4=T`x*A9*!#WlN3!Cv(uz|>1d=j4G90-% zevY2+$r~Om!uSXFUZO$HyKDou)EYS=EvfpL8U_R;)TVgz$yjcGYjafNNtvFMmY^WM z;ugl5&eJk2I6mzja;QvffIWNJ(2McQz`6haLT%FUWP-sUJ)!E|Wzz6?e}y(yRja)= z^;5Uc+Bb{C#-JeLjpo4!$wYq9RCHa?UB9^>y7=~OtIt8A40r;#fsAHtx8T#^2oYPY z*VKjzoT|OBzGFA!G{xlhHd$q5WvjV^gTw0%={tFK$HVHPl0BUA=#A&)U*(Ze@cbt3 zS{4IcwXv`WZ=6!el~85`2OjA_LIR=_3b_in4F2!jYgQT6;i+3iduU7ifv-hK=q?#f zf<~Svq|N5HD>%(@Vqoax;l{#2a3nfZ#*JC+Tt^`O?8BGBG;nq6KLjR#CFR??NMP6g zu)k&fEAS`MH39AEX{(5c*eX}OjKxFG=`2@Zd1-QN#%jgncBGi?&whLZg= zjg?KQ!NrGN6&>i{$YS&KuEkxx-KcktebVq^ELN~fj|(LNkoLNLA0_lQ97s@h;09VO zMK?A!9PE~T-z^!C`d3(n%Jnb%IY~(AzCqH*#&lvUf6TWos|)yICeoeXGCVdU>I>D! z#;%A|JrrscFG^;Xh?!2@tV8^o?PX{8AZ9U!vJ5$kmGJ0oXhv0#7Hx(SsAQfi`G79Emv+OI#;!wy+ ztO>+poK|6>#pUsLk70piUtI1hmWQ}K!)rMcGZty8^n(7wiu5H>_IeW;TuKVdhid$} z-GiffhEJYtmGLxBYy%Gmiw2@^5nmKj zM9!3Yj{#NVMj)G&ctMe&iD9}+#dQkK>Zrq+b(`J^dx7)~hS_x?^_8ZgYduz6+VI=w zKq_?Q0WsNC`LW}iY$L~h3m$=MEAL3#pzj=AaZ^NmvV)NFAyV#Gve&mZoEiU!iQ6M_ z%9POxKsWMS|L+7#Bxu7=?uYh}^{?QG%biAiYmD_?JS70&ZyY^d?Ugq48^ z*an|DHqjz7VDHOBqe$T8_5JB{sQjn-6nOlMUrdg)^3&AoZQRms=MU;Ls`kc^3OnB{ z{`q9Y4$DCAUsjRs_*sduBzB(BiDB3-B49ix7NjqG910&Nr<b5oL zZ8qttpo1U=QRMMrhkw^C2W3R-fHb3E7aFZ}2?JscYtqK3+o`|>Oz$!-0$k)Tnz?d9 zi$%5p4Z!X(ve<@$;NZ4mzZRbH60E}l_?r|%u+-~&sYC(Fr@4fu^;>E0cNr3f2Tl(B zkuX1IW*;6WBJTgpcaGYsu}yph2A_0bCk$TcEt>7ACGt5H6{Skcmc2C#cY7e+NFHVa z_E&3-e2~)^iBS*+McQ=5_kxzt z%gSt5@~eq0NH-No?k@JBzuhZuvk%%T#7b&;L!f9PR1!+&ozFL)$WrJ3r+E1 zmLP&nrQ2e(K}6E*HMq)OC-S~--^T>$^+-naZ%0SA4HuADO--!_c-aXYs8>H@bQ~ir z$;+G3oOhR53qK7gVS)5CKo(v!PJ=@@YsP^Mf`7x6O+VFss=CI#b@t$7$=g>>^|?C2kgkmZbA?aQd#^k3k}Z)~;) zDA6BhXV4@VI0^y7vZ%`<1HeQ2BL)-$A3kpqMxsH9kB-RB4|=58Z=l!!E+uEP%T+NP z1waLB^Tf65F@e%OA?L41_*4h;?%iv?a8%+^{vK{6#$ocRWdl!meVe-_76qooQ03O* ztiD1ot>07mttI!VOoB8wmT*&)mRj=iqh~DRy}3yM=Kw1Ui9?ZZ8~wPeac&iLKZFaD zA+U5b_uMDVHb|?ZC;#+}rFuAYmvw-eOIdTl>Bt{Sg7eFJmm8@wrBG;|gmhv-K`1~@ za8V`eeUuk z>A7+A;F(NqyzJ--pIA5saj_FS1#NtGLtIU5ERD)n<4BJ>hbHt5M=xb@L=$Ic^euvT z?aY{XS{+kpp!&s1py$vzN=?2=b)R2oc3QPtZp_PC3W+GbfS4amud@(gjLvas{yH&C ze;Gw`laDRWP;SZQ5ZcSu(C?L#k+$DHmziPRZ13PU(wHZeN6mPJ z@wvexRD?GTFr%&&7Fu_s4}4oRXT>w)l{Yo}F;!n(W;S7#n#jri_j>*$Im=Ld{k2h_ zMknp{%%0Zx=^UiXZq&`D_#9p=SHz*20$)mx!sJK(wru{=;%xc-lvjow1<4TiY|U_N zL_%pr!MLxO2Jy?52UE-O-c+57J5CyW)8Kol*(ZC#PY?4ND%TyC0ddF2fPbguA|S^u z4@DkZD|1rJa@4*4D=b`DP+wgaipcrR+ijgedLZ5s{{BQo5DaO&#aEaW<_)E0whgeH z_myZDoKaciZ@4*T`IU)3m@xB=u}!e&(Di!Ylgx2;P981BU?t#;x%zLD4Tv$sE#MP) zK^XSWPcE_qdCNp+(;4*r<7w44@0bA0IUSBueuI01B=oD6rN%^dLWKj?D|%St{Uw{97@Km#3#>8KC*Abyw<31mL<|z9J5&qXp^R4XGQ|lwwR68FW}z! z^361?eqcvX;}hkIk=ax*Q6Jr^LyAI|9+)xJ4_yFpkgOdugnMvQ8gnSFYVX|ro@!@E z*@_PSKaHJbP+UQ`u0w>700Dx#ySqd1;O_43?(P=cAp{HVt_iM#5AG6dU~uPdzH@Hf zIzMjJ;U`rLJ-vJF?q2I%?^C3aO7>N52QjPL%{h6#_%n@&6u(|AGce)770;WE)?hA& zjesR7g$m$JoNtl6d-{B#6^>z{R6_1>QvhBg#MxU7{Ns7$4&OU+NGSD_2YDl5fC5Ll zuKXJ{IrgY9rY2%9ZNYYV@9MsD6`KZ|L!#=kr|fQ#fiQSzXG^V6XX{)m6NPVGONWQzyy>4x3inRj}MEZqagb8N7t@AZSZeKMoo^1 z&?@4#@W1KBW7wmieyH`#Yi+Z=_IWGPEIEcGc>SkWHPy9IM%|buO9N`#iN3 z6&0z)ru93yd|g>a)!|ztjHt@iJ8_jAoh-EC9W>M{)SJyent+C+(YFIhM^t)cEzV7` zFzsn!QneQm=F?xq7(NioPu7Ml0N>F0vE>2w6KRqxK`MqVIdQJlTCn!$sW*SxphqR3 zSJP{E#a*3r%1cq27G#YE?QSW^qOU41_C(L0vk+KW6b_y2%}<)FL3J_*4(5SeiMCpv z^>bbQcDu*1ojlYT zIuRc(aN!v2N~H<%V@yvBK5@N7lCS=H==vF9&Q(aZ=yQ&`O*XJq-rwJ!6WChgsWBwa-;Pdq*B znZ9i&Xo@nWdSi~I{nkq5ZbDQhGN5109Fa;;QaZk1VQ)^i3VL%uqTbYBdGwu3s5)F? zDbwT02eV+4d!+xG)@ug(%XV}eJbD2+&uX?6R*isdq)O05&T`b&~&)YWHH}# zRPOSUPe*^4Q19k!JGckDRa8O`c(26YL&U+aj*v;Z66bFP{JM8P*`a17q+Mo zLgMd)_^SsRw!+6`7>J>JvB8D`ydfaN)VWp`GT6Lp8X|fTG{f`RO$^tv=G4J}F+%%}Z zzFynT!t-F7oI$tkJs>Q3;O3PgP zI@Q9&G2Ubn>zb46CCLw8P}G~qiHvNB#L}Ae91|xmdwXNk=ZkK7%t&i&$NX2GVcldZ zs=A^ZInvSHB4{b`ZCJ5cf^}93W%A~r@WtbGlHH>t{Vp7+E=P-*t;dOxm39O%@#uzl zW$i4tzrXy2fp%>BF*0?ow$Dr78v>WVC}w7cIsECqlwnvNEw4n=BdK<5w)Qf(>ca$q zb2f9DemafXnxk7RjJCX?A@TP18jsCUs|S<>lTq*e#%1ZOeQVS)g~jb{_YJB0QW#U^teEVw8C^qw8Ts-zYIRnWZAW-)>6bq=sNR!41_P#1C^PJ_AVSNv zm83f~G|XKkot+3qcus8GP$N`eF7lYS3^2A7y-m<;9J= zz<0$I&Z6;uTX>!D$_?m+I5Eb%b9_2*Mb+kCgYG+iHQXTLz^(%>C*Da(E^=~Tn{BsJ z`;UE`Z0K@uP`~vsap`qB8alp+4$b|E&{T7h@*+Xhr?4~G&St8}>7M_-3;X2rY=D}B zG?5_x zMiWQTrSnPp>;dv|g#gDrlh3M9qsA1el!h_>C+K_WaC*FG>pZ8-X&*u+a$n&=6vO7ny$eiiNtRL$2)S)$64GKFI|V3g6KBz$)}Ns{0-|Cgs^ z>*c_cuOVk;?=GZr*M3v)s15Rk`msg?YBId-nMfa9>ol@rh{frgzsTIyb>8C%IY3YE zOURSDq3z`0kg*?P_RDk;*pLq5&Mvpu;nZDSP%>KL2rGs{dc$=rtV@bK8pnOPFpLe{ zFam!vcSmIOlkY#(Lda3ApNYvYLxuZfql><0Pe3Jq6-z1-4W&R}wo)67EZ)nx5f@AR z75l3Z$p)U5OPoO2j7(ipEuaKn@<uQSexNDqzie zl(wx?eeD7jjL#t%WV#j67i<tmMSF2zcE9kcIu6Uf07b#|f(gn2GFZk5(JS(C`HQ{=GR zO&3K6HqJAr-8!V2zfg{9ONN6cX9gadP-hx|oK$a}ZP^I?&?mFCN^i;<+u>!wmx$Uw zmSZg!;nXmm4hj^wRmH> z$;M`MFTQ$p=V)E9JGfoB(0CA0!_ko$FzoGuV}05jn;+E7ehyPi~RJiMJou%5Az(c96wA4*#ncLb5*Mm!mW`)y#n>MtV< zx{3UWlpOr8x1W`AiY61_M#oHu{2?Cf|9ZiE;bsfv;6 z@=3F*6Q(6D{!Tcvna4LR_NFfqO-GIrzrEV!^?71idKW$_s{ zxm-R;ef@Pgd&ye(^hmlQEJlYdq54|#`#sJVvB62UE{*jl!$XVIZyIm6Hli)jK015+ zn%7mHnkNsdBG+d6wD5z{7q7Bx$3m4{-^!BMz&dWT25-A|?P3}g7F=S9hQ4zKcqSz7 z^DLcdzop;vouvwhYm;J=)t=MUd6sv6UXP%7j;`eB)WLX4`D#==Giu{vmh1m;;=0zo z3Nq?@u$YStSby@av6X%#*lv#`HP@QDoQ)S~gRR94f1X|F4L++~z0ccm^{Lrnnc*D zI(j{rU2Z|6)$4t!O*3YLb(S{eJC`#jyq)}FIKT$?FyGu2nw$ua$#Ayjeag(q`RYNJ z2=)4^V;!>6@3RVark%XP8EvpEN=vV{&aW|NKAYdx#I8;=8%s^pM_Su7^zhnsKcBjM z6YE*zQv{g|GwLcYJvs0fYMV^lrJUzKzV74dK0T71Ae#M3jG(!1O-vEja`$%li>yx#@FXLK#irF2<36kHEeoVA#JtRs-^wU2(bcWk!3m)qY zW$(!!o;~9be3514N7ZBg-Bz{9>5?n38dg(ey;*Bs>lC)tUL`i6hp33^e3&_US04>x z5ke)* znd52G(vRCAIxL$d^J0|hyrlZUnwoC+Wb?A}*f&$$Tk(D`dgF4#%eoU9M22K?*SpkU zE1Uqw*yw)d-v%K;1-oowO`0EN-fgdlfXRN|;vf}v*5QeKeqOklv=pT#=lCt`JjbOy zeS!9KRJDM1o}VJ{{eT%pMBmnq4UtC&hAz0}>=@;qP;PpTGtP2}Z7yYcP3OR~qeXj) zE%q>MdJg`O%mQ3zy`~G;d%ao$YNYnZ`(2WXOGw;3o%-iZn~5dp0yZQ9Ihj`<JgSS4`4QC+os(rX!FE*I?OJ+1sl{ zi!QnOZ8H5r>`<8Mtf&k zdH-=+@R{_@+}vDpSfxwMqh&eKb*GO6MBoJ?&3 zS~ZgKdN({Y=}ShA)DhN#C)uj6R@@=9fI1cnQ_&q zkQ^0Up6(%Re^8D|&$rCBw)?)=j2!gSaFUxP0jFAPEiM@$bWg2=DWGjySkLEIusiPq zs&4v+ln zu?7yj%C<%2T-DkS6d*5ZQ0+-&(RoyJE7;bPynxxpYp$lsCz>weYv!OgKVv+hfS=-i5AK-yU0iB(N7j# zDw~V!_64Mksv1q>A3K95OsS!OpV*0gQSncrRyynPZc^sceZuIhiEZ#$DJ}I@3S~SB zD}BhD7pG3cB`wC^3=BWrZOmd>B6QFV-^(?EQ6~}Cy5|P_bgT~B^R2V3%0*B~$miL4 zn}>Qf*rpR_!O03**_lcZ>dPYx(0K*SSk0F))7+BVs&K`d?2-jV;LDc-R%LtRSqn|$ zfMFn^&lwCNV(GdC`eG<@&~}ll4;%ZBM3rs0rN3IuhJR%I-#4Lv2PJA|eBdPUWQAlu zOEmtacuF9dWX0Ulq~=T(;L+3XO<1C#z{FrK{K?0N3HZrvl2=_LF>|p-=L2c*RE5MW zkvNcqt0K(y1w8c#_J)T+$_EI$xF4xu%h&Y|*b=kWMNVO^uLZxT@{GsXllOKUnhFxS zYAs7h*7d%eN*2Nf1_(K)pn~u2mBU+a9Ae6If@$-vn&`Rbm3nLEGk3u9Qft25S!>Ud zh4cyEtJVn$tJ>1dLCw6Sj|Az({r?=`Xw4KgHNV+G%G@#aBF;7-RGXo2rn?^+j?4Sf zLV;r9M6LB2Jzyicf#iStF3j-kHL2Rr*a*Fxkw3j`LR;=RIENib-NV*G;I3uLa0oFe z6P8c_Rm_|5;kns*8e8BXeh}kB7&r7R%w))L{FS=9l)!DKfo!js?vN!zrQdZy;B4o9NZ5qEJQZgG># zf*Hvq_L>|b1;oHqY|KtkfIF{U;-Pxh=t%+zcykECbt@4N^7g!3$w)4FHbW4KQX=c3!%=JB1|m0OTMMbo3QGLV4!gw-(fNk}L+B8Zr7ST@n`5TNSi#a#A!>Or@*%@P1KY zk>SY}YE}0wDAn3Zve|J*VHsUHHvQ=Ey@5eA72Cmu(0_*@#!-U9$)i&7vcQIRk; z!;cVHCr<`=Ys_3coGRlC)N8m!ANlZB$BX{cFPD1V~(~)fILp_uY{}~ab9`V_Q()&s>`%Hf~*K; zkbMJz@W%IVIpwy6f^4J0bWP{alc7XEaru@f>k=b~igxy!AS!qXp6VikCQ1m zv9}aoSHm_Vx&5BPmwm2uKC+vJz7G~4Nw{=X$fP(sxF2!WLXg1QZcG@el=;VAj9W*( zc~{hTR|m$yCi5`Sz&hcUuPu0;GVg0Tb5QQCdiOm#W7qALoV^4z9a(rXU0uppk2>|l zDA_g|vRK+MLS5X@D!|@h)bmC_ede3CBX;w^pazpMuymYi8dyphH71#EA)Cf4xmf#< z+4oJ!4QZ*46?IW~wTDkJ6O2rlku82r1u7}Q%N?dEB%XEpn|E%bfW66U>ZKi7YDRlteNFxf7nJm~tPB7$Kv-Ud>9&&z0sT(Q$ zX@^*hMXrmAXHhA|130ke^erD&*uct0G&l<7e{ynq9GeIkhQEj2t#pr3qrKi{6$hki zb0aK0rM}Y_l`_(f4)12%tASjf+9rk%apcq}%~vWbtJ8IKT;}w3%1wv^MjrXDQl{FN@+eXS$5*z&vfbX#>It2{)6lcSoKAbKDJCrbp(K4KlkF_x@i!U&{> zsL_swq1YAno{gy_F9ozM<5z&88maBvM&{GM%z?-yoD$s#WStYjzEqBBshlm>k>7x( zu`HY9@CH(ZAr*}3Ogn<~m6IOB*wRQ@IDi7B$+&@TnZf`I&$@C`RGS`r9^T^U&&4fA zVY>9!E&*$r?N3@R#K6cZ@Hvp0i9FV|2&i-yli91Npc!Flkr0!j%c9;s!GidF0~QaM zP9OK0E;{INWx+oj;g_B2xK2WTLW3d9e>bT>zPrB%%bOon$iV9dg%?)U^|{FwZ3C^C zag&q9ZSALG*9|bvv?gx6`Je{s!sT@HW6SpFV*V^OGo_)9E3P!wrpBWQgZnENm$ zPbKjWSYJCB&}#m4@D5wvzK;!NozE36uh?*aZV!XB{6VKZCg32H{Q2f0ZyPi1lu4le zM_W4btSY+Wrp(7w+wCNy{z<;t?%cXZ9f2;vJ{_*026D48trOLzu$6#3zHUZlir+N! zKg$~4)Z%^9s|wZ-(UoOxZH3v}Pg9E%SI;e=;PR|UxPDT7{|Nh`6-Mv**%Q`lKvO3M zC4S(bgFmE|;hU{yVr_z^8O1)e<_w}{A@f=D+EMXEfgatc9{+ia_9Ju-m+z&dgu2?{ z)Q^atMLEUd6k;lm%OrN~+|?Ed9CCBHOAwKu47pm zk%Ehu6C@sO@;q7#o-JSwM9rI4np?sDa4$Y`?yT;o=PlYoQkHN_DC?|Zohz_50$OiP zAtOSVP~2$^mW3l`a>1{Ke6MaTPTtE@q8r^?>qHUgn2V=(TFPPN;wI$y06Cdb50P+-?w zX{3&ylp{@>32GIOQxaaD6=5pZXQMC10xg>o!m})`f}E0lQOYP|B@7yEyGWuA0+Wnv z_y!bheZ6XyxM5>;5K%TwWrxcQtySd)W zdG`$6#`3*W;&=F-Gh6~2KAalvJ(rs5tTkrg|J4GBnXY9bO|yHqaPkSQxGW|+ z#Pn%ND7{e?yTh~mt=C#?jYICqEdyk4qDJ1exx@`f!8_f}W5zk{u8F`7;EzwR5`dzmU(=|ReOq>r`rf+tI~71qYTEQ6d+N<(`XR^`-SOZG6S8OI7*h{7=^ z@EjQ0Klv1Io{Z|!F^DC_wDcUPUbhCvvZy82s~ z%*N&g4!wIP0KR4oNc_E2@cR<4zljA^cPDm}LB`UU;;?qBsb7chZ*`cR!1)76oFoof zw;N?qoprtW`BOAXz3sk+V|2)0>5k>O(tx8hrzv_|%5{2`*&e$%O2EQ*)&Io{67RUbM>w(^URvGc$ssVW-xc)RHgax;+ld*}vgb%FU8iHSDsM zITN*}zX_*MHpxej-8S$ghgsiyv5}qGO0!>ktw;%U7oB*DYU;E&PumK^T{o)NSM#Hw zHZ<*7Vx;U{T)jX)KzwIM6;8?8B3o_N}xPVDzU zs6`g}JSO@t_}G@T<%Zl4VR2VI81g{8XXuEl%&69sUI#1BM8cs|uAQYEZzrE%TDWrl zC5YP*ZG#L`3V5ZJGMsU2gtiLlJ+27(d3P=!P|?3{vURTMO1!|A&2j-ob41r~^0_Btr?;=$dEHfk{7HQ;tVBvvn9iucnZGAPtm_SC>kFPBTIj{-TtyMj#R+c4yH@{jGd$HUPT3Z zMt*KzrLDhO8KC2>j~mZ$qMN#l{J5yVoPZ8QXnT|?wlJ~L^TT>>QPU`4#*0$ zaehBNV_Ww)WNIsJt;(nx#1tlS9b9OhO;u1<6jj!x=7w3fdeWpoKggmZT0iz8QHJVb zqS%AD(rDBsq^>Jql#lTSrH?F!8Mh(FREDhLu5u{0o~pMEgOp=hcw?J)sT{fXmZV0R zA*m!g_XtrwaxwclnS~8^7HqA$l9`U2nWNIT`tmt@6K7bb>x3Ff9}WyGaPS+^-}}Ns ze}|e%zZLN9UE*49^4!;wk4mpHT^<`_oMz>c^foRUwOIh`3ypc$>p7Ykz0CL4c|Vt|7~F7MKIFLr?-dS4F z&%5B`!*3IPSUlH0{n4RKF@|vvRph7pxjk?_m}sa?cy3y zebm%rn|*)04o5jL<9$wZs?Z`SmQzD|6(K7GTYbZom+SZf>!AAZEaXTd z$aS&QQr0{^yH}|#nH{$vA#ul#=YO+JY3*s9y)I+h=(9szzHr(2brSb95Tsn1*hl)Rpivg&NV~l~!)uPr}W&A^8Cb zR|Q46s`chl*I$lFqc``hg2xfC4~Y2ET2=gi$fj8{wvQ7ie8MKiA%>LoGcv}X!Je_g zaKabTmPKVv!iI)&O5oi>?a#kUhh;9+^B2A(11|PtL(n^qyFL^e`148jKzT4TTWrBx zicf8&>GlT)zQnvv_pGXXNjhyKX-P6Wqt6HT;8a3{AA~O8dsM&y`VXw%SqdxP;#3Ss zw$(Q_r?#lC`$PX1PBz)?+tT6&`~<)x=9U@VTJ0F`)k=LHNZs|)QpU3oMt)_NjdBXQ zUG%y42mNEaNT9lIyNyl$mg#2zl%#}E~g2`|UmR_O3Q z9wEb3`LD#=^5Q4Ke-6qP?9Tf|aym99FT(cKyvF@4tDT~%y0GJ7$prb$TjLBIBJc$GfVspQ`O&}G3Ge1629`4DrC?ri=Ko5 z;XTpDkY16sDhXIOMBgQ#eRf&%}ODoS1z^my2JLMu1)Z~ zXQi1w(yNwKZ2a`CrFPw;ucBnzBE(f4uJIQjAcy9yVDga$wphU?Fy1S?)#rs+y7pEo zrre*VPrho6^)ggj=q>_!ELIDdWHWu|Tiq zLG=lT=kKGW%zE)j+Jx7|vpIpN`p2gPlo+x0R`}H9@b%Gjp))S<3df&b*Pu;ex+T={ z6nT$ln=~-p(#hK*CMmWtc?XfTvnHJkVogNV1M+`-Mr9jMz!X?g>dkn%%7s=#5AH7C zy`9`x2IY}aZip<0X@Knv-K_q&%FKL#cSezt>R9f&^f~`wZNExP;5vd8HFD1V@Rxa{ zEJXvVX9Qfg)bq8PkFfh%d!)zQk3RI_#<6ie}kFL8cYRpHXMrI9wkrV zrqYKozf=!9=;(i|wA66(IwC7ddcTDYzHqwi*fOqy_Mf1y%QoxT=>-fK(VcA5OMe|> z=DS(*?TklSZ%I-4!ptf#nDz2Zp#QYCPpvde{{?t1O)SL$eO!?u_e1GbeN( zl)YKq<&v7z$iC1dlVPpJaRWQ38B_dH18Y&v=+2(0TJ+&yZm&K&E=gAI*8opQK-8hI z(}hy}cM())7d_veCu?7y$N8LOErB8X8M&=7M1nI)HIVzZ#8+*mrnc@6XRw&~bbDKG9`9K1 z9Rm3S+%~6GRR0e9x}xovxz~l^3d2owJETYcu_ADZ`x>7y%aJ(BMZT*bFU=z7lJ^imDA6=gyf^n-iQ!f5P9@CMI42+*wTd zwHAws48GRc9)zjCGE{Y zbT)WKNq3~O3x&cAQ+;M1%+}seq{B_nvBWQG>Bk_8P9ATt?;U-%@>O^SaO~F@VaAs)9BMys&kV_?|IHXKaS#e(`BglOss(w%*dVd{ z^xAL0W4(8NYRI$Nlka*#3&e9DmlV6s=VJnPE|Q|1?J6O=%NU}No+ffn7{O>32n{#7 zmd^d`O>DnR8;`_+H&fsnEp6I`?&{C$9B_{ijG$JSvdj_eldNx5yuW6Bc}ntlWtOMd z2dm1iMstl%JF?KDbcg1=->n?u%d)6BGjw*R4#WHKFdAA?0~c(^9E(|<1mn-+430Nz zaQf{I*#-vAwuW_q7y7)zM=z(mqG`X#N7v^2$RUbIh!E(Ba@I*-`O8 z(p&Fer4+VK!R~*~4>#tJ2x=P8q_zIm*pZmNUC1|aWAX!c$SUt~=;6@uHI7Fo zM;6xT@YO}E;0p;7uLPDCQ{3i^CAWsOm~E{x*-0r$<&fKd9;sXAa4Sc6&ut}>r=|{2Gf4`&)Cm_BO zKG^xvGxnYWVE|Ue+qQ|?GOOI*Wmk0X*T$34_qHw$`es^y4chT{ZImy&>9O{aqh=mt zNE*!UEOlcoKs-ZE+Ebom>B0uFLGZJ!T>mg0D%WXR{f+*s&+q*Wgg3RMjx4Wy{ zcyi^p+Nvzk_V*oXs#r|@if^>^bcnb->k@9(jx@pYqs(?Cahz2gpcNAtdQT*5w!}-E zQKsU(T~n`*mgwG*{I)%4i$b$(p6(mOz=4WfdI|8o^hC}y)0fWHw<75qE6 z8XO}7+MaR!!l~j^Si96{zfe+C*_dcSHqm&5q~1YKO?#}TN!sGHg?)ut_LSkR&o0#VxQr7g({c^zb zF&eDp{O;P+5to5hg%u_@Zr%}Cko=XJTq|`z5q<4-d7@My(ySWk>Nzruill>efsN`{ z$3$mSGfdIR6dDUDvpxuGX8wcQ5&UP}*mU`s1$~{U@AY{nahkU7`04FEka=85J2sFl zVMcYD&=^hdRfn;r9+dfXsSWU2s(Rjo?OiSSPEB1+yL$;w`P)Xu*0W$pZx;MjOiN~Y z>(2_CZocGS$D6R|WudNhP<~WYvW*BL9F73b$aFKcBGoiACqJnC1(b!bN~p>FBS~bY z11fLNy2RPl+pcUw={^5W*<>Q8)X|Uk_D$e-s>}r!H1%_xCjl^|Coh$ey%EUU0o5!x zx2=Ve*5B#-ILp}_R}nl>}~L+pXdLde|f@ zzQa<&LXV;|1bG=KwYiJBwL?;V8`?TMLbvHmuG_%(Cb5x4HAlvP$$^-0@-5%&m@X8Oh{Y`542sq?)v}Arm<;+2P;9NV}NvX~y;%sTpVqIz)r#y9?@vJ1ICDvH+ z`I$-CY?Njd(wD{3&FM|ee~&o;XCcDjUTk5^GI zm{@5Yv62+z3i52zHd^ifcQxKCa!|%*bfC`0i&x@y zTwbtmO*lHEQb|LtC-3ph^YB`gSBmWI$f1V?6oc;X}0-f*cfr?%U&Gq(7(>1Mtnw~7^n5`iCq7RjjC2aD{l82EE zZ{c~IcAAB^d&f)4Y%%fR$AjXjoq-+2SkF@}8o&5*B9K63p5>JkSuS9u=tmFbyXh>! z7oiqXrXllA%3Xj?lfAyy{0!>{v4Fa+4EZSRIl8!5Sb7 zh=$xToBfLRsehhL?ek%0>zeaQ&z(eQE|G{_=BNxU!ec0Pi$fyM=udCro!DjHqgKlL zqfxxogI&>#M>qB(ainR-y2yzmq}ut}s)I0bPgfMx zD{|fz-hMqp5DwEPZH$X6t8WLup?V%@Z&1`TC(McuY(!IWaJ@GiK_LmCV9UHH|3P5X zWd~)hZpkp0O&jg(FqVfLnJNXRBp6f=YV5fh*vS%e3J%);!&}?;pj~oO^Ju%Pay8Ii z&)esd4_w`;P1?UvR!JPJL?T4a)h0o{obqeP6`{<^27eo&uPjlhFbCn(fIgEy^YMHx z|Cfy`%_GGYBChSnPX6oz@>1wG&zh7;pS&b#_4K1D`>c**VE0iNZt2V1l-utwmc`Zd zDpUf9BLOEcT?&hGt=%EG`2rYYRG#7isQt3XjK3ETDyiM56N<3xyZxdMhCfhlzCC+z z&3zg{ks3XB_i+E*zXw1}kcdKlcGiSl3!B!U;R1Xr_iDetV=7pd(y7i@<1PL6ey+jx zz7NjtQ!t81;1y8(Lbq54X8ZV@S)=2iTH&^mZM=hS2I`;t=NEek(j5TWR_$^weljc8 z1x?Jg4yZu8-g`Rq2o1yx4vEoasL49$WRV(LfW(avc#yZ7Ob>JC44sbkbsQYJH5=mAce{nhzat4K1&-pLt+qqwVf47irD zT@xyZ4MZIi@piG$ptXnee~;m;b}`c8FcbdGVYeu1MA7Yc%HW1E%K)V3XF!C)oDF1> zl&h0mJ{5YV#DH*=|0s|ROKZ#OsCJF}g;7`5lBl?2=@^a{ zBusd(5!`-HsUv14J8EWN6SjA#1iE5b%`^8I8+T~asV-;S#9im>@8lJckz@FghgrC- zfQX(FI)SIotd9iMW!yetkr(*eL=)8s%4G+bRs{xTekh~6!Ao_vK$Q`QpbTXN53tF%O(rY3XN1j~O%PQpDsIt^E#DO@@ByuBgc8eEQ*>7_6$-~_haDoX zY)DO@&IFLC^M|Cak5PV!wnSaDMW41c{}>WY2VehVJ8sMc^WFTi1XEY(Cgw1w9mOk; zxo7n|5t>Wv#cbK;c9$c}_wt*ic*@vXhfd+fwxau+)16l+)Py4fM^a4#Kf6eIfkWf7 zO}4i}%Fft>a%_oNC5KaJ-ml)sQFP>N_{dNUhWn^ENmMCyY$x@-Q)VKq3UJVGmO3Q!Y?)t{qC&k z+w6?nT4k3Y-=yTJ?gRS@gBTKi^b3Cc`}4@d)D%!q#0uB40>@_s6Y7#Y z8!@o*O9+tpnmyPX>?RJ~VlDszB%x@QGZi{p|8Zy>9x&Q!W1yl!I4{~q;*O<8kK&)m zmEHQ*h6&$}`Ocfn(S&F$tJJ`rVwg}bk`UWfWTGbcya|)VdxPTbG5MG5NQavJYy{CL zR`d&5&g#QK0ac3{l6z>SPZ zaGjr^Sm9W87UkC~547&TspAPLa0g{|8NRPb@7K-P;b@*d4v)L8mv<>0FkYacp>gxV z#r<{N>TA+VAavr~KAh^i*6to38XB6jHc-5v3~NLGYJPM$SI*lRi>UapqE}~_w^$>g z@UUVxE6_~%n!5mynHB#{k~AR)NYH>~(3PD1mLjwdRsQ%AgClfl|2h%zVJwV4XldWA z;JUT*coFMA*wSl`*AV+3OY=2`&_0W){WsY3|9ufEcCXOCp-2L^0p;q|O3KQ;c|bF| zouwTWnvsD)K!HTOKw{_B&CSLAQ8gUp2A10>>F+bn>z9Tpe&1%Sm0J}iPF`i*!y_F~j=wp3rPRK{$@cclp0Dj+Ql0lFregsFPBoQZP+WPZ#b3;SJ*|anx03W`6=zj4A zP`tyVquUSbF9KnPOziCa^8WYAuScR+*X!NUv^$7iw z?iuhb3VcPs@9ge60!zj3rhOd>d@g@gNtJ>Lusu?vW&H$@=@SzZDWtqJY#BK@ML&NA zfc3m%0nl;?vW%>(t*0&V`;SNj?_XKU0Id5zeBC$Hd2C{W zg>72HN$<@Y7#2xUAr-ddYk}R}U4YjPSdYA^p^Jt>p%Qnqz&aN5d>x&~{XvQ6(-rvj z@x>%3ZfzNLJ*=KO0hDyV^Q1h7{R#ZctSsoA&l?q0)qKk(sjq`c@&b~QlAru<-2Ej? zP04|#R?E|ZBcAGx^Ur_>6wZ_d+Hw;&An-~_Ns)}l1-Q!VFHh@{q9iV^u25hGpz8it z>hX`R3RG^WQn7mf6%stcD*vBQ0A5M|Bj{cq%;!*&R|>=bHk$s|AMxyOAS6C!rk-Q) P2KbQ_lM}5HHVFDZjU@{7 literal 44108 zcmdRVRZv_}*Jb1G?k)-1I0ScsI|PEeYjAhh;10pv-QC^YU4r{`zJF#OW@>8Yb*Q4c zxqZ7h=WJVR?{&izN`1=<(4r+62l7dlngWkWP-7;_P&UX|GL+R7$Z7qH;#;d4`c%AZD%Tjp$ENIlGWI1 zc_uoJ;{5mUh~_Kly2nzUEhwt^iAocac-h7RZ|`os{nEK2IrfFqkfKRPVn5)ZAS_uR zD!NF&8Hz8eFf5tTA4PyD=u&Ko2pB5p6JY~nC_&H*Y#28t01b2l<)Om=Pd8A!zi)lM zZ%KHd2F410zEpjNzrA_(4-AO4U(u;ocAwpoQ&CZEKP@lgemrM?;>C~%h+A7TTyAzm zyu7#{JMkD98PT_H{dpN+^7ac4ho=qq-+DXbT&~uK0Bn)9PsmSMr z=IvtZgF!BvAE|3AM)z$O=V`3#O`3Vo?qrtA$=SK*;+Ns;!$omr<)ODO0Y3iq@eIY= zb%;QJmG?c}{{DVWT^+{W-rn%oSYL^95de^xnfdgvX1nwFN(Kx5aJ~{SJFE2c?(O+} zkc>-A9K3cBJY&}Xdes%Pzi;$*s@~~swZ%E(+xVyKvW5;zpru%^oTGjFCssD&kZ}$62HW*+sgF7HC4WE$D z9TT9(l6tM~bFZGZGoK^ac|vCH&f@X`e()E$OFV|TgE4et%BN&V0F@LivasaaVu z!t=V1ZovTI5fO2TiI9Nhb~nfFWDCj;ZBxhVZK3+c#@(0uvwueE+eslFvueK>9UYxs zUyrP>XT!wA)YH=g1Ox=Q{@s^amaqX-+idUvl!emrXs_KnnA0aBT8BWE1^D*p2`VX} zuiJ3)eESCE<__C>zjT?q5LFcQ@evpu8~b-|pe;m3M&{(_LvV9*&t3ezy%o{1?3B<8 zjQuSHN_JI#3J6}NQ@@H!@v9kwfgJCqVv5*a7nhfpCk=ero`2zR4QZK}B+SjfP*YR0 z>GrMJOr)_lyWWt4JOi{h{koOu*;)UjBy2)1JJR!I69FZy(v_>5vBx-I@cjJzi6$|? zj*GDRM@6&a5%THj=|4YHQBmo(;xM$bvTDuj(F#_$pg710jG_qg9A$zzgO$=nHidx;w>LVpeXdjzxjR<(|O(0KT9SiCi)Hm|NQyG<@3RdDV8et#YZaX z;AF_mpH#4DZfCnEV6J2r2AQz?%IDJ~Wy0k6-u<8Djf^P&vxkmk)iSl*rY0Qh2q-r< zH@mhCkRec7x0;)|K>2z5UxL2@B|oFhN8`%RkE>5)E}!FRvSX*6&*wS~`lsXk7&}lP z4c8(9TtD9*(MU*Qtk)WM##33%%*=dg!-vPmGj!;%;LOd-hKz6)*6_Y0zu_Z6W1M5{J+X0>whncY!LswUPk2f=_Lq6JfOk?1Q4&We#zx@&Z3o zS)(n1(cU=@^*hHB+mf>wTrX%XFK+Lv*BeW3D4e3vkl%!mKYc|J9WzV3dv)p8U5j3J zn(ZqsgRYJwKBv}ps_xVB@p71t;mAPc`|n{c=sl#6@7zh$19MW;f`uo;WsE8GaM{eD z0edg|*@vr%FE9PuP;Va^u498@U(*fC#nv%BHib6hRfKo%=i-qn_ohhn3K7YWZOjMk zI69sTHP_FcHi@Z1yYcnwdPQy%8&{JsY?e0G$14-P^xx@JyQd+hjYe_;Y7u0|M?>sd zwZe6xysV77ysUyuKHl1_oM@nXo`mei(Sy>ZYJWuSRNX@7;E{r`MPNT6yzhVTh$Ah4 z9E3U~$8*^Q_ZxCZ-&mb0idIiE_TYP~!a_9&qVL7O4qcJL&)MV)XYd#O)sD!QEw*H6 zpO_uWX91qC5@vZA5L!3aHn}eLT<^=YGQiX!(l=&wr1mu@aD;I5k8Bhk%Uk(u-@ejkdfovJ0}rFnE0CL;?lj z|062H#tq~7O|d7qGwiLvUYmgl3$`Mzttm(7-05oJY93`;`DY$MIfcv1<_r4(c;!HX z>cH)XDCxHdAerav7`TNkLkkHpLJKyAu&xW$6`g^mx+A{1vE+@BPK5$N)_KKq?H|bd z0k^Ec5=kQyv1%mcBNDd!AA0|=BbhDr|7KS}=)VtuA>jY3;gPcF>3&oABo$46kuNOC zi_5BDA=_^5O<mgA%*8yR-2%lhPkd zTe{3y^$wMJrEw=TZ^W22iip2KE6WpAReigelaKQl4|L5uI8fB?`UTeZrztKg6Mx|b zO?WsxlGqOooyx^_L*kSXE|2lrFr|YP*~Rio)LaDws|i4EO!*ypC`3<+%_8ge`y>`I z63EN3L8lRh9v7xZmNkGtXiNukd3xe^I%&y7tIcNO4(I5cy-PR}B?e7JTr|+_$Uh)u zld$Bmmkn6kT~}#g$H5a)F&ncb8{pJE*|;gNRwfQyy>G#4o0iGGg9m5vHRL%MFF*V5K}LwBF0oqSrpz{2mwNXFjS)!wsq{@NN>f`E3X zw!0V`7sPRlS@?M)wU%s!O%R{CTWGcGs8>bEDGUEYaOlb(4w2X%9s-PyL{K5?d9TD* z1E|{_PrX8wp7;u3$)qJLL8;0JDhdfHFSm(g_=_*844+y8dIB&dE<{V6QNqP8upjlG z+Z#c#FD{7;PonTJ;v*j85ybR{!iLG-!A7F~{eBGcl(~GESST#>MM$fSw)8V+{ur1% zN}-}9rdwDF5q&H7LsLe#pdn#N`g}kreHc3RZ*rxEZk6bBh6;L`AULq07K@*t-Q7fn z6nW#xnwjOgioe zc>X_>Rh))PEVgGv(w`T3Vi-RV7{&nA{Ocg^(2_?hYe#8`H8SZ)L_-s-@7-^7VT@IpxDYD}|K~w({iAHv`H^!*Q?WEjkZ3 z`$7~DYQfhKz^TV>?XMOujPXnhVEuhv2`(qpwzj_UrG=P-0?J zgkrj3$rJ~=NkhqqZ-bt&CUPyN{)U=hh`$Dtv)3C_oH#A}+|g>w+17`EN>U!ER!OS- zPD&CwIbPyTrvJefLjZN*)0&dkO*wnz92k53uXu^7x_cwT4?@xIRh}3|0&!2*6g%7^ z4lUJ;P5h!Diz3fRnhf`nD#kd}Kv^WfTa{coFStZE-@!=W+DPSQeqq)kUl@^VGQoL3 zwJ)NqP{YW=HmEe9klFr4yP$I5_eP;O|K9ob4Mwxe8OLh&qY#*gzgd4Y#8tOmqh*rh z5A_D9Jsieud!KLn@r1?1OjZ>g%Z(-w^c)^~NvP^bRoB+!$<9>c^+?VeZZ9WiRzpw2 zwD955`n4K;+H`Mr*vdx{MH7D)!6O6U}+28&^qE5w7aH1X644S<+rgN|!V9LK7v_@=BDRFi;!}6|StZ6OV5rMsNCc`({P4p#@%3Q)-5Ik-*Z)3^QBz4Ia)ziS(rK zq1)}L9j;@`$#7~1V$9vTYAiq?>jUzmA~kj#4&Y0dDL?JjiP46_aMgg*XVhTO7fm!n zJXou&igm>F)1Rrz>X78(oV>o3M!)leXmhoNCasTRzd;lX6{c(f_kxVR?D_I)eQ8M{ zMJFP2sED|RnIp1_(M8CZrn;34#=CHQtqJpx7Z6GqLqduD!RZlZeg$dOfN!!|yyJp^ zydW<~kmb#_dOW`!v)!`BF1enKf34NQJ{9a&e-Oj5bX0$|<{%Y}8z0~`i{W891R%m>-|){H{)$;{DEXQ=^mN4KwV4{ zovG5HzsN6pkI@;Wj^ynVyl+nlJ0di+M~ANHc+2>UWD|w-deamCeS81|aNjyeCW$9B zghW+RTw&e4nW!>M*b_zg)yE5)T}EJs*bfY_2WP{zNN*3tiH1O3Sjql)b?EticaJ1g zYc|!&lZ3wvp=jQL_3gdybIg49FG&9U1rIOL zKZr(o1E~~Aw+v503H*Gs7KS>s#fOKGlH{~y-|3dSKxtaxf($wekSDitTXL^2b{0ly`RSf^E}A>X(OvpC@Vu|)8f9-O1| z3e1RbG1MvxaWQ&LPumTgJF(}*DWtz9?y{dLY&~gl?d?K%bBsR0j{f~Cyt(&%)5C6q zDT+r^`@V^sHS5~PB`HO5K*z{eEbjpu1bB6M+)iDC(t(9P^e7iEmOGKRv=?-Sb|3x- zBi48@X{KGQH5uORqRwm1T_sErNj@5rlUcjrWZSNFVl;2UaajJ6Cw3(3fEoVs<;S9B z!ZgSOZuV$mdFR3Yv|)XGFdnz1DW>Z6yvVM4P@xGQO0Wu2QYJ{DM0CI}U9JyKo|YJT z3-k?{A}yEgv@& z_YRa={Fn}yGE`GmF%L6awz`SPcZovmZyxL{14#)3Hho!rA?kN&RXk#f)7ndbuBnh( zq~FXb6N&^8Ggf{xRy#iwWMJW%^=&npSf#5NZ9ojDDE@uN9G@{kor(b^6BBZN;Ke1p95)Zu>$c)+w># zwiS{U-bHdem9E36bsnnLZbpDIHVu$sK^zLJt(B}&DbwZVdlOwFV{>;ZRYcZI$3l2rQSJ6 z0&|@EQt-9Uglh}W?XJ-&m$0RBcl|64(6QSX`pcvo#GyC&+~C94 zU{qE0nP-SK0^8yK(FgxKaXvXOJM{OB09U1@=-G1_OivBe1z^-2lHVT-A9Dme6U0Yk zQ8s{sESG}gI|pGninwHPu|`aN#(C&H2?LLamC7(Rr5Xq?2`h2KUwzScNOe;hZBgps zR;p5sqG^T4fQV+I8sJ-RFp-{+3*lpZ6B$+w8?1m!ul8mhh^gMJ$Ka(VCZnuP;YRPlhEHZ1x1uXu0z4-tr4>0 zpUm5$1B6pvFGlhU?KUL&7j_AO2+0;4w(yQlr6BX<)sRsg%=!bjn7$@`ZGkdaELAGN zKbm06o3P-|)`e8c#GEd5KO$+bMZxpxnE!yhKOr{Pg96Y~r9N#G$m$iYD#cgmAG&(axl>TYBi#IU4NAAENk$v~tvk+MaggX`Je+twmB}2_h&;GZf6i z2EGMLJJa82ww+sm9L$kV3sTIQ3}_wDh5!u6ixB%fSXH+=PGl8TtQZT+nQv@}Qh-sl zWHP!g=G8tBAOR&AGGMMo+WE4FZySlK>dn3m5%nN-thz#AdAq+cK9DRB#3_ZzP0m`shstK^ z)nOZy{uC*e9QWHa$~gL6)dV6JhP+LX@y;fEzY~+fB#>#K-CLVqjxRi;w?02yn%TE| zF@Azivh(+z$baJ0ZZ&E5QBxMqASy(^oQ=M{)t1!6?j#ENOckwu97gY!mV z@t}-63`MrFAk$-h*xWC257dscMK!E-{UZ@c2@^%XV|&Gvdeo-rgPh? zQO~||hWG%*SjO*v!h8$WRQeMC0`m7 zU$nvAujiTeMq1%#f`R%k+Wr5Su}O6sjJij*pEYfo&it92TzAysk))Nhu!+z|M6~Ov zNsu{4E6$N=z$h^2YLvrv^grKOeP zYxmL$qX^*9XIV}LbB9E9T*Ca1mKM{iYX|~{p-X294JG(eCnqz+*knej|Av~Hs4;Uv zV>nDXLsx<1@S!2d1mWLn+`XUxr2JHPFk@fsU%e^B$H7xbNk{(Vw3dTQ;o&I~d*w*$ zW{O0tfCD*E0L;iaM}w+_6`SEs(MX7JWK~S?z6SGS|7;M;-sP%h893&&TLv|lkU9`| zP;euvu5ZwNBWdg^R*p2Je5~+Zj9NGqG=`+8igmwaInB-iz(O1e=CWF8VJ#LkZ$@Mq z#O42dV;d}uAPrSEB!Rj9DFIUeCsyz6lFiYwD^opu>s-<>AJ~nff+v^U< z54>fkYhXJVnnCAeAg8K>J5c!Jba_Bx(PZ(q3*mDLeZ0kwhLwkZC0zJ(>68;BRpW94v5*_58m4+6kPrZw7tY-VPpn1TzK(Kt1cIPYTb|7vDJ&j;SoYG?(>g}=s&;Jsf3qrpPemj zk4Xg|-wUzf`>*115i>EWPPlCCnEQ}qsIlG=GtK7q^#p`$DyUEW4=sRx?GK#wrI%6* zHZL#a@@lSaE<;3famP?~G~rE55ScI#*F8clcUz@PM^{5I^I2^v_>cgWXg-dpC548d zh0nMbHd`m$g6@>rk7Ugqd4J3!|I$ZlL&{TCQd_Is$cenjyEQ-l3yGBG7xe z;X%RWAUs?aYT_$7&a5eO&9}sVl&PRE+h~@pO)iAm-K_QtI^mtAHQTud-Bip#d^GQc zc4Tbmwv*$S6`fgeEj-YRfGm_%KaTMm+{C4KqRTz$7gkpoQ-GZe4_Tqy1UX)<640#< z?JyiYRE@PA;0tF7K#CMSL5m-yuvb zAr<=-EXaAZ(&DsgEqc7vY*xb8J9XB(mSD3>$*CBTf0KBV#7BRaQ|`-3WdG${T%M14YwE5ZMS7exZeWc;5Lt@40yP@Sm!A`d~U^$RV&&+<8 zg0PrK@#=)&UH~VE3E`ieT(HZ=#^>sriMJZzubiNq8;L0Vy|ynl9og&GSKgR!Ijww> z_n}-*`7VHQ%KoQye$T%rL%6!Sh(eqVCdESs;zuO>Jz*$aocF{Nj#tW@R5GS$z`#c10Y$R9iVTaCaCm5F3HZP%fW~V{d}hz1a8=UKfTwkqEU&%( zB-ys4^~X!1wVn257}cz2^{u%h(NRf4mfJd<`K69Dcix&9p(b{M!*kIT^&*j#xaixZ zt{`%z_Kf}=7kRyi42VqS*9PS}mE4NbazSCo&%1nbAxwQnra&q>B7((o1Pfiq`)`p| zOn%Ik)ME81GYQ$@H23!i#9gGY3KphpmoIB-malQxGZa_B6^YWxDJ~rF>CiS?Rkgu z_gx_1%%SDhs*?#?2L{f@FWh#1Z0uc;)|J2rD}PH&V${H2Rb-&b^_&~bd3d*>3FQ7J z3gL@O5)%E<2^G_Iabwv0?oC^{Jlf`(1*$Uv2AN_#}UdaLCVbHez(cziAX#cCXbIzxEX|J(H-xgi5f39TIs#g ztxX8IT2TPoia4J)4hSs%eK3Nitoprw_%M3+DlWd=JU_F>HXVw@7J7fiNn{S=VaGO5 zkc{$n^=s{3aM}N* z#hFg5tTPYvTy555Dyl(C7qc1q9tns@5Bjr39kSic(*A}9PC*i)!@JY}7Lzku4$gM> z04)GrM%4SF43j+H#620j5rV={5@T2T>q2;m#;04)99eX1KKTz1OLVUgO?cA{Uu7CY zkC|w8sW7UTBsOcot}pm{j z3eJR<_Pg{zUzI&h%<2=G%3scq)J$g~>jh9ndJ0BMa`7D8u z3~R9TI|>`z<+eRiNGX`#vQ$^??c)9DlAy_B7n9WN&O8jsj<+mQtH&!TIPK_oPbtPL znc#N&v~?+@YMK{^=d{{>7L2A&Vc=c7^k^ zBdB>W$Wb?ME)4{kkaz&z0F<8z3QW4)lO6ayU(@eD$t?ZE3MbX~E&L|lfUIqR_;mm& z*D$c#Z$2@y(7Z6tcdO*j_}^06uL(RmlIq?2_qv!3o*O+r!fGukpI92(3(mcV}Qg~Kh#wZ<#I zKOe|h4Gn#J%K9vl8tU;e;o-6~#Q0?E{~&UIM&h_kfsx7NS}-uUNH*&D^ehNcZzB!9 zzy#VRIW{p3nXL(8aa)r%a|%K_V^9s+HWZ1VtVZAP{>~?Yg|C;a3g;i+0mC(Pb#21F z2=G$qiPaAqD$HElYL?)>Rm8;0_IUvY$Ip>b6@r9Cr)$pQzc3Iz#<$PIxKT!DV%hJS%W6@*VWHmn0zt< zS8jmoVnS=Kmm7z>xs9Xld&{P6H0@XwA~l>OgN?$!z8w7QZ}`wmL&O67RGtI^Lk(|) zF{W?uL%TLXhW1VL+qa+ZkW&uyvFL>+>?$!RBah#1Xng+COyeOc^!=^|0I0yNO)`Bp z*Zp5!A9qwRQ^eqY9~^)NdHCQ%&XCb*jJp{U=IWi#_(*wpdHmI<9ji-0BsLxhCo8P% zbA)?)Pj9zO%*8PQjNDjRoi?uSZLw)7p%qvM%NiY2IWcjY-s_buNJa9&QZ)K=!S}5jMCKB);K}KOv=^A@_G6mpo=TnUqy?C?s>f_PQaEki^ zM9#|N(!xvxLX>)JjiU)f*Uc{)^pM&b%g;&8_dpcwCveiN?O=*F22la*GBCy?6{V(Z zie^PN@Gq*WiY^z>t<>U$A2vu_)4Ey6U)afVh!Ttwo7!sjwuP9Za{`K@P^n{U@uTco zJzbruz&PDoyK7B3zF@w*R8xJyIy2?-hjSyUBqg<@C-M3CLS2jCzX}{w;N=PRf&q7V zyu3Q?Cz(mVmIK9!j)YrHI<5iY^g@ynV|hf22366jitee+bXOl#IyLTqI zL-;_W9NSO^Qm}@#NY-Gp;^o`$I>FNbv96w&yw5jk8jfC*CC0?o3|=`Le47nF-QSAZ zweXrjZgjt_2XQ-}o-pnzWJ40aH7G0rx#7<;wqa6M8CtgXG-_%(`f)`>#+0j7sr-gm zS?uyFi4FTGXc-tp#5d=K?YovDERz}YrcMG!eMJ+{v^dqss0=^u`5l8sC9xs(TRV^P z2ie{1IMwq`Wzm;s$b(L(H>5>dut@@S3Cr7-Nk`!h0cB|`pLW?P0uM}nH zuz$h2^fz!th?q%E4Pdg>8M^N7-JBB57jpE$F*YD$>;BW?J zO6tCu7usX?O&nH=ggrxC1Yr76n6#M3*dA0=9BM5aCLnGZZFeja2rZ?(64SfC40-v$ z=U4I-VK*W#w^7wxlBWjS+6wjPv`a+ZYl1@N` z`osxUgfBQ2ORy*)CDkwb4m0EZ-4>XYiJ(78AFiztx!T%>(0aL8v8Hcki45zn(uGpe z_fE^G6%s-;MMhNs*)E>~)Xu*}@QAU0q82eE-P>g+obAzK{`p@!BX7DOm0F_=_R(ch76zaRs!XT8;-D zgv-_Z&W3-`(!}nc28iksHkjzE%bs>`tO8d8fZ+Wzn(mTcMUlxOq)c?w-UCRosQ4C( zE21OJvRGc#{kv>Szxyh9)R!_7Z2^lQPF11$7&ur|NIr7b*F4CrYs*wlP}r!6$$)+5 zu05@3o%SB--Tj8tZ_i#agd;dZT4_>=>zWlNof=hz$JEs>UwC7wHN$3jg zp+A!0p7`aiQUCVxCjd~!2L_i1p1gQQ7(h$AQkMgaKQ8I=!P&UjxNd%{?#ENmYynF( zU)j->)B(wW<5FtQDy+F2KM0J@qe2R@;SGXGSKT|)7*o&tHiv1j~;RLvqj%y;HrDQ>&kcNpU$D6-u6uS+V4=fGaK{7h^6_G6NCu5X17q zPe+lIJ)k-iI%?39uQ&iFL34X5Fl`DAt%-}D?bM7q&(HxV9n7Kju>jX0-?5IS>i2Hy z{Ugj^FFrSCP|Msv+(Mj1uH&7|=4TfajiZnXl}hr3xQ(Km!rJOfo8)RHrro$6t6rWN zIMD>rFfF6btVXTU>@?pzlGpd^$e`0~_kC8E;KKZ8yh`@PZsiOBa3FNGE<0yA#s4SF z1Cs?Jl%-n!u?#|%RDSGi;VI9T1RKhYtARF zCR9*WO%A2bWeab%g9(q!mk&ewb{6sw-o3=BE3q`alCFq}J<+mbH8k1el~v)qdy|YC z8^@OW#q8Jap5q?7Bag$Ct27a`NGWS-5>3e8Y@c8>8$+37209xX57X&jeN3bcSj0$# z=a4@Mk;R_7?DdC`fJK_y_^0Tq_$%9oHEVeg==>I9g4O6U#+a@1|3r>gpX%Sob;}lI6|z z!0@k8$*IAx?8U{bmy!-u&H^T9jt(7V5c5F(Eo;L&xIXV%cl{PicoYbRxh1=~ zBcTE!=lMeZa3MtkDG@lBsRfO}J#A1JH>&)a8Bpf*rHna#1XJs`IpbKCH3bu)%;8S? zfjHUc2L!LjJTjJGAs^Nm{}aEc6uf4a{qWU7hB2_9sCVI-loX&eNO)~h*kgu*c(>on zJI~)9)Be0E!NGcF&@ia~=+~!!1?BV9cg1XzRU$r#8{lxuq4Aw(e2)V6^1|QkRtuF1 z?o?2~p+iT7#0N#zINe-6O_onk+C`#H1+gQESUpI-RyLpB50Dm zQyO9GUTm3zuLk%})B>)qDA-i0jxCG*p$IanYyt!_KU>~CU{~{N}-vj@v1*0uya=xRq&5d9=18Y7e(Llt~8fTH* z6M*?$YT!qrN;wpunDF&ck__DNArJh?YI9L8WvOz(N?=#_>ElNp<<9&FirxKRsJoU8 zg%o&sb(H>actlD$sB-8Kh}}#A4b>mPs+Oa%zm;KCRqd-fu!MIqRCJ zs0tar6Col-3t~bgCRYim$qChm+<%`XxKl`liAQ~_!xYn3gmRX;1BLQ1eE^>bF2OCS zT!Z{ObQJ>PFL4VA`*I6)(aJxZ_;%aJGbP@y(9_e?05=7p__6RPk~cuS_u<}25+CaQ zs-_09omD@!5S|I0xG|JJquoUKl_m^gor#Z1GEC=@mmWWsKXb#cp>`825HUQTFi>yD zm7yl&av%g;7jzOQCn%E*49RCF@9vV?ZX%}l#-{25Xa#j82&gaMrs0LC%Q+D5ohaBn z^kZ^GrGy6#ySwX3Dv{YUMPg^ebNf_ym%og0c^tB~dz>z;X-pp7?%t7n05p?fGW9Jg zW`oL56f)L=FTOpBxj9v3AswV&H-BJgc=^442M)%jH2&3$H!=tD2uML)7Xilgb~qP& z(v^FK6wvS=iR{yeLuQ1Ud5~F2z#rZ6%emAqR|?+z%*43hcM0SW-fX?7A;%+1%CaxV z8LGFIUOO+}cxD#g5KGKYXlZpZ{x+>#yguk}C&U1ozrw^@mo8$Ror+8r6Bv3!eFSn9 zm%=|T@brVE96JMsq=UE_O_us4KTw3KBwFoHoNHIzJxGnAY#nIRCXUa~d&gk3+yj6{ znh-*YIhk3nlj;-LqqQm@_D`XjO1FWuE$MqVFz1h(XNb5z93MEK+_@&mrZmF`n zk;#!dak#cm!6?W<8Y*5)Ql>vQN+K>Xi|{wFa_dKwMD`o@Xyu!4x2QS6;A&oN&O-u) z;k8GH^*EoGORk))LYNKP>WyiY>s&)!x9e(@U zn8@y>4J24_$_S{z-d^7#`!AX+p1 zd~o3#C(sJ3Xm$P0Ktu;_Q8h?s-(#n&3Rul=>JDs7M2{IsboKPOC+B~;hDobJqk_Y- zwH6!5*n>`hOaFBxJhjXOZ?q?Mun#%PjG1_{6cl-EbN9w61@H}74wnuyu=>g zG*4Q!p-C4LQvdQrmqogr4=eEM zP__v!;S05+v8_EO4m3PHDVnQ1viY=AZc7T^_ ze*^=S8>4KJFL+XRE$<3=-6~+-F*rvyI)3ecaM24FmzxoMwTSqb1**xqoMaWYKto{S z1)};a7{Fld-ps~&_<20{mrueG)?DoG5Q5(wSVR@!wUBi5gqJN34se7&+Yt(J8X5tD zBseIq!C#*wLJD<0^J3oeRG+*pcr32g{gspS7tR##AAl*=_S2C+4tJZc&RxH)8k30r z+@@gPv%^_D{{(~NpbH3_NSNsVor={d+w6^gE*@!VWxnr>oL8J@bci3(oYd_f!%&z# z&;&O}tDS@k;E*R6T%LD}_HJgG91hP{!lgW<8XV~3%*~85+Adb>{VN`u_aCy)w>J^Bop~JBiTG` z`g(J{C(vCjVAm1QW{LjC@vBSMDD}HdXz=#;OTac}eGykA2b~o$R8KBA=`X|_y}eDb zDC32f`{S2W`m_x%)Y_s=^~JdmRertu=kJg-phQ9RZ2Do+HL-D?X-j&jKH zm+SrmQ>2vURa-l$a8YcaMp}Q{m0?a5fi;6XT6UK2EJT~m$TkdM7em=@H0hM@?mO7}NjWHqaRoSKJ0!d?3e+Hj4`_@LHY`_M0}CHtjAA=*u_9uC*5v^uZR zgd)$kM`l*V61KJ|ypE%K@_oxLWAr^ygp12NqA<<&(y4h0^>70!Ey*t5jGzNQvvXap#I(D*>^`P<#>pLHb`L-RPj7vb+cifC~ za>hz(ULN75O6v`JJo5e1Ku;FGKeB|$=TCZ%*CB^h(J#n)V?GMnF@&G3`4&fVp`13` zBOSkF;J-$~$6CtuUmDUR@ycay#n`OCY(0E+6+_F9%)MAtJ^#YkS6b^#rh9}-G;lSU z)#JMYJC=d3=}#-1oPqfH#C4}tO6KhXaazcL8l`;JjBChT->5g%nd)Vg#lgPoZi*6^ zAq)$61FRb3MNfT(CXjg6@4rSufyM|mxzL7&$QtzGR_pax(1zEIhyZ2|j=-v^%n;Ij zq4;vW$el4(^_rSmR4hx*%Ijgc8IW3)td6pPx;vxYfh6K+!n*mh8O}y17!6(R2rJ*I z<6&~7Zlm233*z?*DiUiQj?ym{nRIEtDtywa320UVy-UKr)_LvnO$9&HwQT@^!+I-P z7GRVOuZT|3n14~>aerOKn5Kiy01H093qH?lAv|*0Kvv~=@>eXJ zD1e`zn44-q^15Y)eH!66kPmA-d5har!?X;R?f+5>rDyu0r9p^3O>2$$z`ov^YSqN1Rc(l9OQAA7k6QP5j z<&_bw788_Zg)yV&p;PmbB zzU*l=Bj|Y_Mox!lERorh<^%;DHOlNJJ_%hEo2{O`MUy)%#Ocv00(mJx7ik2C@BRpJ z?$k6ufM9kk;4z_y+04r6`06Z#>>GiMqTU?A^`cGG&j{T}Wxejeaw18oFXpbBGtuko z*I)_-rxp{$>ctOqntc&P*>uTOg0?^S-na4!LS|~=m#UVwU%8pSu5}$tsH#RrH|sAf zA1PH$3C#ukuv))XI|kkwsoKvkqW3oJluWVf5~yZAZz;WyDc)LCj#KO-4dIG-of#f~ zhgcFlc0|81Ylf)ReMRtix!0dG#@r|C@?@vn82yZPJQ;IrzH~8Q{)PeT?4<~<+#upy zwT85!=bJO<_XR$Ydqul+3dPs~ohJh7B}q-idZln>$|@L@RW^JGDc$(_JFZh>!}ddi z^s$w-PNO9~wjm;eJjwRqg!J*L71GM&p1r=O@GHW473Hqm(7J~q8HAZo>^2IpOk((Z zK1lAK*A3)_mhgwHzydJ=a!?CkpmcOPrdR3CB(lV!TW$=HgZM2rxsx}-7SHgyWqtZY zhHOa!>G2^~>^Ir!1uB>;&#FE>tei&-0in>t;(MA`KNStdnnJ+d zEfbEHvEzYwT*4NEySWjk#eaox@7U02;&2+l5mrP0_e_i5WKPKTQWluL4xV`3!(b$n z^;!!?hiR8@T`9ny4GXfwhG{lkLh)s%Cp4yM=a7N-{3NiCw0B!I*1B46tEVZK6B-&b zCOyqJBNZT%oCqoJNGDTfvKR*Yvtv0$m-oHdno$u`F)JZrbq5W0M5?+{3#O1Z_7$d@ zpP9-@<9}!YSaGn<7DZ;y(6Zy<{ccBkE4^TVZikL{r%|YLthvoUnICzFHcu;*sSsVW z2$;H`BewKd46&S;OtPGAzSylM*njkLayjn?4C`2-G3vBKn$Qi5WoOMKK{HABG~sj( z-Wd9Qxo&KROo?2r<0xH^iC5JMh_+p=2V1Jz2}Lx5YZPRr%$>Dqa&m9`}Z_Y zw?Pxx3{}q``^jYvzjfu?DkI263XvQBGbtA*g+E3r$4O zWFz9KOmUj7wXK4c0tH5OlDd4i7(LCD7D9P)J?U|k-_?d;%`j2DVnzG8{Yn;4{l`u& zQh%CBSm5Z06c#*Kg^19QB2-%A?EzeRVd<7oZUwuZLmE{SG5U4q)=i%o*OUmSy0IPd z@$#`(FKwl>`-(t9NC+M=c-w8fz1@H^t9tL{Udyfx^Y{*YG4V+M;uLAjSu2np_n&)= zRF*c`T^_o0AJT_H6Q$${n;-W~{+-Ykilmwh?vOwR17I3IC*AU$x+5pzKoep(p}#1V zA6wf>mZSHhlf^;94RhnJg^M#=)fbJStwGnsxdlE$`eG`4N)T+e&X`H&xwdtZC4J+o$J?S3n3_e4wjlui@F z=eXcQwC&)}>rg7QWu}nJ-NQ!Gq*%`K!!mUY)~cklDBkhZ#bvp(48*tfA>k-0F6;tc zXj5t_8K(~*LjTy3fYi>=aO{_gPZv6327`}P_ba9Qu5=$vo7C+uC?x~l#49S)7sqGulWHR zJ<{cd_}4bHD+q_(a&VDnRr9i3EpV{w)*T@FKEgBHh1=p;iv-CL6^x$@+NY^Skc6Qv8dZ5w>Y0WURucvz`<`!Fr~T9)~6lHm`n_T7_br0r(veUSx)bpCmESfR2PMDo+1LjpXA!!tXKMT!YQwRs+$3m< z+wevbalc?$^~&5)21$abl#%a!)DL5~EUMD)g7!C|c4Z7idU8bSn1a!3|G>L(;z&+b zr+f8lz~gg;*X(Zpb@^%U@j*ieg>vAjT~-C_?-1NU4Nw*iY;og3QHJ`xMW=xyV(5n{ z1!nrz4PoDZX46k!|FA_%zWozTFZjzsd+69QcYEQ<4|&FIsW-?mn>&aBJSZa9wBRRpnD^+lpGcb3Wp8)#bgV#Zg5r*Sp(%VEK&E z>Q?@aKL8|*o~H8Aa@%(f(|t|6Fo~PcP%HD@!MR!EHHr-V}wf{ZW#>bXOk zdAvq}9k=}F6`mMec-0wp(@WeS;02#akMIvcyoSNZ*pci{IV=XrHL9!E^G6r?gTq|J zH4O`&XeTlPMH*`9zuPiD!pg(1+|DPP*gcsg*Ic%PitWxP5ExlhB5?<@$lHP<`#;{( z+_mnxXuLcoBov2)6N3Zq0THd~D^8DM_xExY%|5CI^pVL@v*5v$(8!zKnpC;zM+HJ4 zAv7T3sBD3^t;DtmW4~!DVAT!(K6Gy3uDsc>Ho^LVEFAD94kj>|u#PdMX-2W?pw=Dd z<`$HmAwmwebKvX-I5AA!+!f1COtlIJwP>-1(*Nx!kH~;rN!rWW01o0^_uVh!bFfHIXtOD`WdNi`7W5a4#8Od1sFpsGRMN#o-XTRC&!n|ltN z9yD>lJ&e{vj|*FAZ>}veGj>v_Kf2iBn_I?3vE*d_2GPO52bc7$=c2X8sHCEMD0hq1=$v{Ag!wQWmMc)iA7ZO<-WAaV-s{N~wZa*s>` z`imV`Gh66x(jvAKs}tJ`e1^+@sJ?;7~%c z3T8~m+gFDEqqGhkjrMs|hxLPNA6+UmsBbhhEz54-=v~+~B{S0t`1tXIdeO6QZ9f`+ zHI+b>n9ezxeKW)j0-qSQrfXW?{+%>!8Xu$k7H=mG!C2F_$|LZ6OsX~-&CGzZcx7pk zhh0yKt=m_ZVV`Y7heN&~Ayccn=yls@03>_WCf=APKYPS`eizp~4iDxh zQKkz%VfRN+1XrS~6NTN<0=@_156sfi>!H663U^Mm(yvvm-jO0fpLsMVJ|vaTW3_+{XI!OmdVCFkODC$qLvZy6C6XX)nl zNIfNYWbORCEqv&oC82*;+{Cs^HkvM`;uRd|xfV_)4Luh0m*wxpUkG#@2E&7j>h9fk zhpvL^PE*|@N*UDZt_Q^GBej}#_kdOD-(P13%~XHF>6+chD2y}W@ba)rj-+K2xBk8G z!wbY^R{L{JyLu6b*fXoxqrjy@>RCCM`gkyvGlKyZOz}Jq{()73T-y##vCmU&L6a&qcg2|(tVkW^3h+nZ&3TBd(Amo&kcVU9>#6|Mx;s#zPB^Shmt- zV6yXUsKwium0M?fdvSs$#)=dwZcNJFjzyV$4zJudb8YL5BjwE`uJg!1#pHb0C_OtP@Tf^L0(;+B`6RvQjxs-izuD2$IBxVfM) z{xA-hRr3#mR2Rv>>(9b#`)Q4HR($yPiQqs3BrP4U^u>)7RGpNPG<{c}J-i@zkOeQPABu`MWSe$JY@Qm3on&^qh8lHuv@37E0$uGfShpzmD?r zR#zAO25JE=HJKsplf7nUxtL!IR99J^CkdKHIQ9m`e=PAtMGyn&nD}bMOwSCt-wxN* zQc_)NyTGX#NcZuK+cG0r8S5Ij;wEc5g%1-7r&X1ih;VB7!y7*hh6bd$pRo?cN>x;ykT?Y2>&<3l~vt)b}O%(~K?;Z@tAZ zsLfVhv5qI->*;&e0iee-Ry9Xjw=p0J|jH^GgI zKHDba@c27OBh+H~qkV1XU9lmM<$AbTw(nnkcu=}@DamverKKaI^nS04{Uqu}|e%SICV_m!`F)ouljjwgvf+Y*Hz zWNy|oI_*LuHVaX)WwWt5LthO|sUN)VZA-hV%J@C$PHWr+MNT5?ZzsIGfNx0biUnzB z-gRxv*G20zR=BKKxi=!Ou=Qu(1(b=KCMk|Q-4F%Sf^Xb;fsxRhPbvP~U5yrgi`SJg zEi{7K!iu$w3#TDFE0(;}*eOi{Q8-rWqEWyLwh3!J2M;?gmxFIr?Cz%Zt0NPLgtC&7N4?7^(lbx#nVEY)su%0m zMfV3M1}5eUkPSDmzP>)6lM*`xoR>pQ_+X;sig?F|_l8{3G<)(!p;`dpxnKZBcDJ$EaR}}PJod*tw z2oaw@^2-PAU->no5H)GSRQ_fuQw61{yFa0dh)0OMF#2o?IJA>baNwK~b->g=iY(he zVp|J_*hJ@!!v2=a4RZ%KifMd-t`l}l3ybGtAZO~fBF(ll#K8{=WUw=sZ@G80Uy@+u zuCk>F{cBxo!1Sic(L08`8Pf?|RI{0rPgQ@O&9CDcpU~%?TvONb`LR?3h_3^uppfW) zjfH=j-&p({Ng?Lp>2`Hf1KD?OrJ{rPvj+NZm+#xPfEY6yes*aD`;f4(@=ho%l!5V) zM$Y%95hqnWh1&}bIyc_b&rf$hoOCiGT;(O7bhyM|`s#44q=3%x5ERb6vFTJ8v)?4T zb^}*cqT0@N%Zs5E6%k7cxfDO(9<y7Cf(#7)zD>${kt7Of3{}aTq_Y0`dmBse3{~E;toA;_fG@)8pD!Z zocP&>G`uw5MvRzhYHDuigytqa)#{pwR8=eLs=;i)a>|+SE2-$ z2Ub53piIl?L(8ce*w)Q_yr7hW^^48r=sl550)<0}pta_m1D6)mRx>iWd`!F}Epj{$ z5KgN?=S=b3N9$6p|dfBUu_s@%l_UXqk{ps<0!LssfFYvH_2J-Cs&d=$- zKDxi$fpoa;j|+#~#|99k!s{sI0wuJvwS&yYAvn2>ZB2JJ0R!DhN}TD+vZ}lI9Fua2 z;0DR!>qrr6%xo3AaR!vP7R>B>c}3H|6*}6GD*OV6jBF^Gzh&e-@z*tfZ3z0~b~G1Q zv{!x4S2U2uZgsz!>t>2WM@#mt5FljUc=9*`vd6Ge~ZJT*#N}TEy+Rm=0o^jk|ITKGkjV!nm?A*d#rVHIdD2Tng|;?b%<(uI!`jV&xwu_mGIr>3B!qWk)$V;Xt~ z#g?qW$HeWxQ5A8SEWbT^kJ!R8K{b!DX`xkSB&slz7n2~kLI&mje1G4AOkt4~5kM;{ zV$1sAM*$}?_xW|Js*9h7{bJKZ@K;ogu-S2+J-hV(p^{R#bSd>sae;#FqkA_HbgrrYF z*^P3Sm8cD+f~|kt!#!%I)Kr+bd|#CaFOU+Ry`+Epjd3{V;Q$q6zBr;j&nEY&JSL;K z?aYInc}Fz91G8jN_(`gKv@{AFERX>CvbOapVPQcL%HEApQ9*dw540ldniY$!`VyU% zp9hvHGO`+hz^n55@zF@I%i@5HGE+D=E_cd*cofqR%E;Lxn0Bd(xtPi-P$-Z}MN?T? zVfNo36zI8=Q*tTAEDt+Ccdk#VfP>0`>*M)xJDZ=zxXHuEVma5%)x27!yLdB&laPma zqNk|aamT&ta-t*#4k8@Atx1nmOC$$XuoaMr%AhRiUM3nU1+Tn5cMO!5+upoX&8)Z} z#aW0ebq=gS7;xRe1`;W$y8Mc*LJ~s!efP$fw4jF0-{g66%s2kunRZTBmp^VflbNk(jo0;zaNRg6j*Mo*} zqK)$n3QB|PPjVG6Oz0g9G5WRdeDhG83yuDp1bKZR1AMBv`KE1>pt1Hepm2Efylpsp zs{NTg#v>|Zwca7DlHxCUuZ;=f1d59qfw_%R(va&_ z-BZ1VrG2qKC>wuo7&7nwHcL-6@ChJf)Hms+4x}>AUsj)|UtZ?5#b?h?lRbg}eYFRK|yG`L4G*^H%rU06=D+cpOQW&OYaL45m~MI`eK zrbsa@flj`QMp6nwMp1J8xZ>`}b9Cd$KR{UoksF4Pb^O!Sjfa;81PJMU=$5eiiUWus zft_@qN%1Ap-Td?J&i~LL4a!Cfhfd!Ap6K0TwpKN}uo9qwfl~%uH{s!h_mS;BN*`g* zUc|(k8Sn>YAlT?Kf*DAoyk;tyP-^xbJdnW0I|OjEnTadJpGTpAo2;=tICPWUUC+B> z%@)rK*m?rO#Jq&x$pc-So2zOEuBELJO|cAFn;>-{)=nG>0$(Ihg$ap$d{wToq}-^p z4I?g3yrrWnAIFWsO>ph}80TxYmF0zZvSz^3=j%D{tL4^TUA+}Z`yAu&$y>E6k&mlT zKF%Jb+CNiH2a#Y`K>uly@>YhE#wmppV}tiIN;%@JJkOjlZ>C4mw1UPa$ z54rRe53jab^iX?!YtU5 zy=CEAA<55q9g{bHE9l_jYGpm_=$)I-781#Vo!lVCb~$tGzjO#%W=^)`kI}bnTZ}WT zVS)Vkcxn~^saugV&dr{UK^u$_pOu8OyGd_fbP~FI>B>)(#?)rXw?RDs2t8&Co$7?>Wl#n}{aI=5Eg5k~g((`F3@W^|+22 zTqI||by4K%{ymUr`~I1f<_ex!8VFEM&_!NPY0$b@z~>1qOI?_qeHpAN1j~!UWDMnN z()pXEU%&nrxXeep?pscbO9562u=b-x{WS&G7fXiMt1HLgsiKsM%wI3up?EAJZan2{ zL5;TYrU!2XQjks9iDbmuf4ML*`X+cQxjoAQKsO9t2UZ|l($VYsc+kp;#N+96zFmpkqZMm57VRO#utIb;mfkcDJobWCN>e9OCp zRXzE!u~YTEK+87pdpW2f2^SR=RkY^d;aQXIIV#+0|7C?pKSe2pYU&p7GD>Zdl*GZs zi>{pL@o=sy2ahm6zY;KMVfnPOMFO{W#fqV&Bc!p&^Vr< zS~b24)vA&a+Tn9Dy8<~-biEteG$De~rpt`38CXt4?+tB1HavUwM1n1%xwN0|N2AD( z%fZXT!-F&&3;hcU3TlQe#^q@0W(e1zvZ11U4Aao3*Z&#mYlnJDLDJG&D?_)(lvDD( zP<* z^WR1$C448u5aUg$WKpYz^R$oOo5r8{;RbZh9bg_&R$3bN`RSLXU^&8(MiqI!_VlbD zTPPhEJH(`c=@D^%yCW_PO{@wVGCK1HtzNiQIw*>#$3ct!@5F+npDW_ zxma*gAJ9kZnzh~iZy9Ss!C`Ka09HmGu6HPF5GQ#;?u?Aa%y{eOnSgWh3 z2Kfp}8`w5W@)~?5eIm+g(zCO+Ut?_L+B?F9>L&YU3rov*U8Da@3!1K*i$^L7&#NuW z`q|XYNlVFqBJ9#h45bbO@EjLcjh%9A=&p#OokW_SQc<7X5r7|pT>tE+J3rwDJ5i0PYh1W2rr>(@c)1elO3b_yRJphO&~x2d^tXi z?c(jo&WYkqRt9l*@3vRAiCec}t}t!Xch<`-7{<@RU7XT!EJtHK86fdEmuH1n$*v{qpj`3$8$%r;hqHWst=_8 z3!Ugc4mYLPK3HQEFrG*YOwPcQ3v3$BCpVvEU6tN|f<*cWd`#NF$8;=^o}TXW@v!vl zBW(Sr#Cl?C>K34dcc`c3fN!76=@5R5(~vpO^O}6vD9tJH@;leZ+?jIrm5$baSc(_e zf%v-N*4@ysv#k%Tq%GWFJ58(Wr*}yt9CE5=2!yl8!AwK8|GBo*wJT z!m-ptqj8ueMR@ZsA6CRL3nZnhZpoX{vMhrY18vouGVB zj);d#=eD%t8mShn)R7@l&i}Z&H>ozb70Uo{0rNj7A@F)kDkCckgxlwpl!SUeU7k!` z^YFqdCvtt9o_VCCXk}#d>EVRYGhon1W{83`JLvTrW)OBIWMm9vSJ_9ptFyH2i^Z$< zPa&Wm&bsdLydmXkS>Ltj`P>e2>lGK%N>8~&_AOfy2AB!yHT?FJVM$YYu^+AIw>rNH3-_XqV!tt(dHF6K_WC*!w?Dk55tLxxqq`( zcMN?a^q-JW*Hfc*W@)jDGj+BRLHd;g*u{5l7jv<2)5x|pYX>v_tg1>INL3cGDdTRKyr@P+qa)&$T1V`AF-oNsqoyj=k4CQ#ICEJy_xqW0g9m>H^5FC@UfIvj`(Ifr${%4{0*_Uwpa3Bv zArli4Qc}{9x=Kuug<0*Oek+kX$@#;?1?rt17U%w$`gOjG&NQc3HW23?ip;18vWw^jWh5}f9XSdQpx5o&9Whc z*+zEs)rGrw&n+w&?)AqB?oRuE#3KoQhKGipDSFE&W+l`TW4wZom>frDlgA6ms=lda z{GMVA!Ec1r0L=CPjGta}=$`Bb7BtLlY{c~Mc$_aGh~-N`i{;xba}27XJ6(J@fn_x8 zq}ibF*%gDS7AlGS(9MOuQ)eeG;%{?mqM!*`;&@n*S}C@+1?Htvvqo0|L9Tu;)SF{U zrs~F4(PN4Fc`)ZI`h!pS^i-|AV^f_p~j_*giJ!-nD~1Cfd6LBAO!FDMGIJ2-u6^otv5~7^AFCN^>g@6EP6; z$b6+BA)_EU&$f`@XOeQ*a(+u(d`OZ^RuF^4?El2UOwLXl5KlEKH{Gg{tf>(deCVgMcenzv z`&T0>hf=FJ>(uXD#yQqXBc>x$Cdg*!HLt^KFTdUGUiN>2NKCnsm-Pla#Wp)XX3Lrj zlq@%pa@xJyYG7ed-nc9`YSJHu3d?(3{cZq6YW4N`p{A*6%98%SMIXST0ctwB^;a=~ zmV}Xr3Q5i39V*scN@Iz%f=bsa4daI--$%y`0$T|Q$->xivxO7w7lrm*S$LGYQIYp zS%2*6_KYX|d098AxN?ir9+ax8YRByut(=^kl8Q>*Lj(`cG_tQdkJZ`bz~Ay^v54{w zb+i40A8XIl+S(mS54b6Zhu3dD0~C~DfAWEvEj>PQ=f12c{J6`f8J)1BGlXIR2!sK*MHzUD^WaD+5+5hdpa6!B$Mh(&NI~ zS%r=WzWwSl=u*4%M+U3g&vy!$q-TTn)rXW`a6g(u*U^h zBqJdyi6Wkmo{kM{SQ*xJ=zM4>Eh$9%93ONZPZecU>ctfupUG zWY)cI)9?70YKMP7nw|d{R+NS3te73UELbD$#2-Y8xPsBIw?|$c8AVNx^cU@LtA}16 zncQc*Rpo)RikKWD_#xqklj{>gO?yFT${J^Srf!dYZH?s>=sv=2Srd2|Ka{+aq(E6q z?V3No;X71NLK`XjddEWeU}hkdlt+U&{2zi?Laz&JMaBQh^#9tA5W(j=ylheg0u)#i4RqF{b$y=lK~sl|~=PHu$9#Hk(;Gr!d|N^VwPm+0^) zJnuy0h_0*=Ky=yP`USc~@<&=&7bR{wjz~fygq|nc z2dH9&o>V>If)Tv)ELZ;b%%q|pxKmHc5iyD+L#Qjy?ElJ9(a^XlElO2XTB5c-``66Q zSy8%mi!bGU$ zx@Hyw>1op_O&tg3dD*bsE_2Fh7XAdpbI7aLP9xN|J2QgR0>N^E&Vxip=X5$E*mcw` z8RTOUDK*zCt<%ppea#coKc;P)a?mJa3wf?~pLjs8-?GYN-MO9KmoY3a<)S6frWXlz zo)c8j4^OO-cxG!0n|c5jXwTQH;TK%#{3t-~iAqX-8;&FNFJk^KFTNrIR;zDdWP>hX zI7?MuaNDj!AUQjLFdRK}WmCaTyT-m1rWW}J7&&zLp8ln87hANXhbja;#N69;92#``9ER(7d%V(^N)U@!4MeTF ze<(b(0JbV+l$&&{P42Ar(=MIc*jq4=gIi~>wWs8Wo9g0nhYX?|xjrvb({WbKu+Id^ zD%XyplBa7gED&hjfUe0PkXsSSvRH0;M9B(%2p!E(mD`D^ey==f9np9@^&#O?Oka7) zy8mWnXK(y(PZSkm?i@p*>k)$lOco9fAk#5;t4(Qn!h0KZAlEn-!+L9Vm{ioimw2B# z6=9mnaF6{en7!LjRQq03>#)_!?($EAq9K3y9|j>7%nkMXXZF_YKflbCR&LbY-IdNa z_wWKN=gX!SAO7gD)RK@!arP;nPJX@fiHQt%ZFQ*y%A`KRE$+_EP6}HOBdF@a2TlJB_^z@ zRvX1=PqJd;6G}$LoQpPLEw3B+U44q4`);?x4%;<4zZNgm7(C}FFheQBeptb^q>e~M zzOU|MpeN<(qW|-|EPOi2P7`NYo5hosb2k_y8eLX(b{c_gcUHAN&DK8={URWb4)y-7I`;VPvkB_DDEDtuy9~EXJJH zKesxZ-x)?|GXb~d)30Pt5h#pUHKR94ZoO(*xhJSoo%XN<<{~Hp%`Sm=~O;KtU zx|Q08z^-Lj8PBKv!qV5tTQ#;a9oe}7y;m93`$U7`o|QQ$d3$-#_lh?Gcx^RQ(*0~K zRA*}&yY1zO5$Sb+$50HzM*%Unw7fI?9QPNVXZySZRP+rdlB+Sn2>ST#|?Ls%V1F?H) zIDR_H2>OE+69SZ*9{XzoJ~VhSSlh`gc^w=nM^pu10q~Ee@(;rf4a)2}xnYoU;@37^ zGi{%skmu`r5i?3yu0OUs^P5sCI~>{n>A+K`$PA;hZ=*Eo6UOjHMW= zxg4MLYuxHdWm4hRn4{0F&&iEe*+2;Ab&%x_@xdukf(20 z8LRj-euwFbJ26h|HKvh_EgvL{fd!e;g2tadBvwQWPzXG8#EhEkIGRIhX6oLUACh3j zSQYl0!O?s(@ZJj;Qu!Vd8mlmHzSu!5j67Qx)w1c~Jq`jLC_IyZ##out{lcKP?>Vxg zo&!oJjXm-6{x4tEs%qHiLSOcjy#=2O%JdDd<;Yt0-FDK6V(LsVAcQLC;sk9f`D%ke2b-vv=>>uoIye z^W4i;7`WCNKKS{3@k5N>d7%g(?dbE_{Q%X6N?Uv4=#6q0uz-cxsZpdJ^%|vmN=fOy z?={~QkV~-uZO#j?%&JWHd8tgf45mO??Z-jI_n*1nuCG;4IPh3;)K}d+0;p%pwg_|} zDMEqqw4EyFm8x=c+}c)l5P$2=5lOIJNVs(EIzF~h?tIKBhQYJq+OAHoFz0ch@ZE#% z0@C9y;~3yGteX{Cl0-VI zRgmLS*TdHZWPl4dCgnlv$`X>|X@cX}rExY?dci68{cu7kQ04whNXbYaaq~-%uGBKW zG{SxB!*}3}qO|C4td?}$u4OQ5Es74hh;qpBc!4*6T3gM)XpM~32Meh>tV;tBgG!Cn z(1)$$yjabyr%qMl{7=Cn6pg{UIQjxew8hp6*+Dql94V6O*ImRSQ)(s z!2pE6xevsrXE*<_7!0RJoLKz@DW@o^OfD)K@*a}|sfH1Q<7pkaK0|#}fg+CIp z^N5W?EQNTeZJiOyG$*OAzKE7R+C z5v`yQJ-6VI`OC21f>}xP4Nv1N3FaA~qGFCg<71~p6H`(}bvA9B&(5(R${% zg=cXon?GI+KlRTbsT@&R9Ui#LO{RYf4!op_T2Wrjvfzbh*`+gy-kjp1x zqtg;1$!3)iT2kJ-8;)Dk!X@cF{$s)d?)QOr0@(+x@X=Dxr~T6G3Pmg-_t4Rne^fgK z+^mU+D*C{oa1QOpoe=7|m2}-o%h4SvPQUH+0Cd7v1ASm{i3A|yi!+Wzekb|7t&hV} z921j4NP$jE%P2ZA{DQPqp@AlWk%(x^;HRajuIvB@u zBQU*f68-bCu73BR4&65j;Q=T2`&|BCCp;!5pu5gDN7C{K_0wNN-oP|4X)nu?mq#QXuP z?oa321Z6;#CeCL`3g#!6I^{n-Qh?T7j$+HAq~8=3SXUSCmrXApJxoEG9+VKg>$ZoB zOJ4GLER*ZG{r=Z$vw=5U7S?_?CIiYj6UWev_lIc&>M>O1QZZXq*KtWzWsN6z6{v(nX$81JfPRE?D6L zh@gqprvLH#acDC|2*dDJy4BDC6ST%*z9#w_!XJ&P#THo~GlW78?i~wJ!BH`Gi#cNv zg=rfr4~$e+|A~OapiAQYetRMvoePa3gepwuobH$?mK9{)dCDtDAj@1a)RtAT(Rud7 z86YEbE~rdA`yoF;J`hN@o0d^XQT^*YkYrf|vcwvPl)uwsg8@fZCvB8oL=Jvz!!jW1 z=`sK$B&4Eup=ShIrLUZ9bJ064E%90%ioN2O?gOXC&O`+rJ;QbL6+@mGMzx&+J;;&6 z`mTItP|JW3zMDa2F+wji;H7A%*W#bHc_ITdCr)}wHG+`j*fSJn&UQ&0>VsoZFF(cLTWnfNiLpl zoBux9Bkb+NgYk7YMN#8xOwZ}W%-FckFV#N?hh77b8|o} z#Im_0DFhSmROC3%m+%Jv^yql@uk?QpuH}H)%Xlx7f=7J3osWA+ljnv2o5zYta7j+ltC;=KQz}6hPYsJIFugYp zIX~-}viz#52y~I!-K_LtCqKMf&1PY-%#fGPLA^GQomxFrWQe)jyHOgNSeoaX)(s#3 zJ1ALk@)7CL5yWqge^|-$1Td}RF zE(dFv-&upyG#5dLB2de4(dFQux&03~l4NM$RG{_()C9gRNjmwnjeTPz(98$5pVyNB z4!dN><*~lH#B2PmZDS^U1zm0k6IqEfEvdH#=Uw|e!T;?Q+#WTl?{_p05AXk#>5j2& z*$dGlJ|UrrB{+4TQBP21g`O>4AB9ybVI`u%(1k$3LNUAkCa*4v=35M7;YIjG%?`d~ zq`0hgI>7}zboFdHf_^@M0#nmvm&gd(KSR9Sk-Ki-M(ZR-s$igpB^1|Q>%7>&OV7Nkd>3R8 z$URBFCK|soB;n;XKX5Xa|DMxhB?YLalo0yW)K3xbc)Ahq>6ripX>@@#uFQPlAC^xt z#}{9ejZIJp>z|k9(~=r?9+QQb27WP@yg$~@u0-eA(0ixvg(w3S^3FQhIHc4yppxe6 zq5tfBZ!(3Y)j9^OidlVCiMus>$nRj?w|hwU(eiu0=|@13s5!t(a|MHD(eEF<4jP-w zy8Y67M+LHQ`I?{V-Q>x)vd8j#-&Fd8PGyJm^aT3s_(y17Y?>h+dcUbR{@rQz9ZTP*Ecj z$Vly{nNChDP9HlP<`^kULB5;_C!2M(vmS_L;^VCjiqWb`BjY3y04AprD8&HQN>AKH zUG>&MuIoQrC$l#idnt-&)KT^|7=V7E%3wU^C{c(_I@I31#eD}u#SO3M(le6(5|<=SSx-#~IX?JT4Ia(Xt+ z?fuv+#ANk{*CSd-9#B}n5bbi=^u&##Oq@$gDeR2gWrSHr<^*mVba`N)?3F6k`W~r354HPWe?2pUq>u138=#^%h8rUL-#%an06ldV% z^a&(|wO;(68w=9!4t)v!^`9BPim6!qN8u1Gaw&Ic%$AK7)U%;VjgFF6|B2WfBo_<& z(W>9SusZ$;K5SfQYh6hYHHLP!^R}?SKb);7(5H(-<7DX*y-~}&jA=Qtr7j_1Z{V0k zHRlRE>dSpAQt-ex^rMjwjbh-o5Es~D=GO6Sknkdo|7%A4g=iyx@+(9GsaWWj)3C5f ze#-wK01ep3Vx32U)r4jJP|NY4eQ#afZjDfsI($)O1Sf)GQ&TVQIv^!tuB_I-O+-$G zFAvQNtO;ndDSVXjjV0ut+M4o>r8*=Uw_ua+Kf^yu$K3IB>Ah~>(R+T*R!3J?dI;g<6p_c* zg5I&Cfu=!y-&!|f-Ei$2ru+Z301d9n1{yCjx@Jl9d+#6P4hfiO%;6S8zpYm@1-B>0 z8RM~xWtAk4oC^QDSkoYZL^Ve<#E*Oz5q2UbHZ%ZDj(FJ$`EJ0-93hRX<76jhsmm(( z1W!@~(X7fR^zqKO{tDK*i)>-^r#tG!`|mQ#oiaFR@Qpz1<(jOB^H}H}PBaBPz_`J; z=(h}cfr9EjG0xSYpoZN6Q2vn?80TG)dXlGQv-P~+9^tcfGZc#0#yz}&Dk zH|^fgYDKen$Kn%lljA2}7^cUQrLX#i5qM^W0CEisNW6sPr%w;BZ*5c)v{8BiJSgp8j9YYv@v*GYhlRO){Z3C*#IWi0o#H6|>0wZ(tN4O&eCFg1YF z6$2(Zv?Nv`cwz>2ynr-?To+!W`rD}4P>ODJIfP>zJdqTtIkt7Oh8@EsJ1<$lGO~ z&ZeM<9byK();_x|@JS2tm)tKx#KMS)N;{dT$k8drT|g8y!^|6`q#Vm37*~J8arh1v zTtHIw^q82LEh#7BaeL{;w7d~A+$uztO1-!z5l+N8BjL6D=IqKXk=@yuw%gC&2oHnZ z@Y9v=5v1(zpMbSV@HD*MckEK#z4g>1ZckT2?Ugve=T!!qvq#4l6MhV8Z}X`63qs@R zuDP;E3kec_cHCaK?;W+q!(w5n$pem2sQB5#F$5q#0z_&Q#x3lM3SckLLguI=56mAx z(G4=43_FW$c0*;V%BmX0bHg64brjjgDy8~7=lb`sdCBlxvv3*?oS;tszMYE>@B zWD)2QC)jC3W1nz2{3E?uiAu>FzX&M7=m$48u#Q!?NwT@zx?T*UNT~om~c`qc*(5 z;43C7eIYGt6|Aji(MztIT!z`RM3SLBhG*C(O3b`rvi~wf*J4SRAeeJ+GyZ0qEG3Pn zbL)dyB1D%4H}j-^lV=G?h{-7hW3y%?ME3=g_sQHAWKgt3{>A9es$d_=6SKaQc8Txs0I^J7?q@YP|9)@yMZ*{O9HfGonvkL)=GC!VV=)*@< z)v_U1ce*%d&q%Gl#O@dGvt9kH$FG0wAKQg_p$u;`N(fPQN#*L%0#{@GTm6#6(cfS{ zkCSeVTYb?fZ?7Z_4X~99J}a%)G`P>vzEo7OVU{akfV2~wJAbIKrWYdZoR6DoiTsBQ zE??xoBw4}=&Rd>Knxrm|CcOH@J;69Uw}dokXVOLc>cdG1h7#l52Dpf%eKzFka*R zfXn)iwYn~U<3E48=iYF=293fe3Bfy3F%zj$xR0Hb2pxZJigH>_D0Ew@9 zIy=q7(HA#`zIS@S4Lz?yv7jBqJ~yYFQ1faEu=AZAtqj5l;Xg%_*j*d&b*+uXy%d;- zV%hZX>?)hechPs#3zb4u&zVtWL8Fd)-H$8zjIOKPp6<1Ma;nofXwGfwBVLE6tez@^d_q+n;~y^hmox-mfvj?99Y+mb8fmwwC` z$PGO=STgqkg<7TQ!_JEyG@^~x&DBAYzw>KtDY$)n)(0K=nS(>iFo}5YH;bBHxXaaP zk`z+Vm2{M&7F7`0fVKTk`0R8pYB=m_QeGsbGxp(os{2BLIws#>`R?J0b#vX9%U298 z5?Xp$5@tOVGzX@?xf4Wp?ZrGT$r1h%fCE^|`Ytp+mAL4Gff%5P$o?y5Fm;XJ4pTh! zKb?m43X(0~@ZUcn)|dTB7UzXec6Beyjus^G8De5Uk$k1O6PDC2E;euqiK)BoabqJc z=V7kiQJIXa{NGHY>TgAU<}U^e;kCVzjL1c?L*vIF_<%WCS6Dse&j`MHt)yLL^0DY= z%FFp9Z;e*tSwB6*iikubYXh<`P0XrlbQXx2X))(fLN^y~^^tAm4T^0~6$9w9qt-!r6 z&Nn+2N}l1C6pZ#{ObQQgHrc)QsVj#tEhVi?J_dEtF|t3vuIpdYqJo~|b$jv6k294R zSt8r^zj;+-uVj;%SG+Peq+2fM=!1rv{h+Au3hmJ{`zs+u!%jLXz3(E!aocO?^{ z!g9R>nMf2$`DivDv4EXJK#5lx_S3{8XpK)j*3*SkM`LM7H!&eJ!+OogJo81J;^=IZ zCL`I1Ljf!JHyIhc=xMKyxtL&T-7#8Uu&UN%k+9ArmR{ri7fn1mZSxidZ_6hxbVAJ7 znbq}3&8G+Mp|K?(Atpd-hR+k;sI1Q_?b@U7jESmra46t_n0%8_EZy&Ipf!gw_f~nyGqFq5Sok!t}XQ@~Qk|<@waTNAQQeJJ;E(OcS|rYdrS#sUdsX7>t&R%pR@n*4Mqyu3m%@ zaj^7?`;p)W#aRYmF(?>lZ6t4OKkyFjPQN=15bHqw>ZwG)i+U!3%+8S#O2ACWt)>=1 z63{bR#8|>r&_4t1mYzQ+E`7J~zSh_Kmr2o|8&>%9UyZP)6?~A!;B8?VtcoDRvS1WW zt|yvdOMzvdPhwqGe1b!rmHXU2zq|LFjZVim1NI3a;Z&VP2HU7>Q_znW_OrphZ>7ME zj=O%}7v?uy&M8sUiBY9_+aB+qzHAp>iGe{yynpSN_doYNp0U%#cz+kAvMS)f9bB^lF=fjWM1z{mt zu|qF8khD9V+v^|$`7WooYZy53c6_OqUL!;~_XFA}y-#GlalZWgu^J*#jL%A^UlpyJ z8a*N(u1K5??KzOZ6f33A;m4j<0iu7sBi^zgX{&ttaS&rJdf6c>k8#0>zQ}9Q{}$S+ za)8SEw(PKg3AjaHbr4%j?k|?R>2`Aw_rTDoybNM%Sl&%a$kisbZ-P9cid`Lw1oeP$B_%Rc_@M*q}Rn{mx+m0 z7DA$=$%pckI8PB6K(CM!hT=mjK=o2zPberTXvg;m-QRudZfB0dYgf)Y(Bsz_;dg^f z>(wbKK`QvB&j11z9>*>|lfc4NS!jkCAB7PgbpqWT3B8&Nx!W1H@o;GMknC~#?YXNk zCK+-$pA&FCImlsw|IHeX@>QM$Su1IbG0Umy;{a5k%UUBn~mu1|hdivrpWbN}JSq8{xx%U7S()UQdB2LeE_%)7>R<2md`YCep z^yJZO?QY-#9>8i@SJcW~RKKd-gQ@%!@P;xn_fr-)Y^QWz-K0A%G+ z|6}Xc-(CN$ua)#RwnpnW#08UZ#L{amJol^n^)vw*969gpk#%zI&&B@Yj3`%!p_J(! z6g^V3C%eBH#}D8+N-`s*R&1tXtZMak3m! z1zD?}zn=n~o&NkE9VsGMZtLaZN~+Rf!+^c z6q}Z7q2};I6I)R;p3F?%$iDxV*0#)YEZEidDJD;GS$eTR`0U&+iI$|w4~V8D1a~!MNT7z zb}DE+0-GDd#)VCRoYBErQz@1ohX)Xa&>n8@pW#bL@%FDK{M_Zlf>wD3@n=howBXdA**qQB2Q$Qk3=4w6v!=X3~3^IHOklU}&#J7W#0b8B-y_P^15=YsaqJ zq=O{(Wx43Zf|Wx$!R;;Dn+yxlAVI(G#0sNY7WlzHqoX{msz{xg2&D{Cwu_fdb~p2B zdz-_%T6d)?^fi1$bpd;#LfS(35?Lqdo%t!tmWxh6GzlGssx3MoWtjr+5!d`17tH3* zVCI|hPZ@4Nt_l*U`_V;tva@waO~`dUlDQ}Zjiip|C#yQK9UOXS^b>Zg=e#+ZXp#OB zl7tS(tI9hMb_`LXixzKDLd?}wV_B7inw;q^D`CVM#nA1OtPHHU`L4ez(0mnba$c| z*&AE_CL1|Ck44uqG`3nb1>{}n@%qVXNe9VZpWk)}a2mrR%>=gGnvlR?NW(J`oHm?PQ z-JO5s&dvMtr}LS!Q})LFmWD$hu?S^;53QkriL*0yqWjYWX;cT-#&^Z>-PoB8PUF;; zMfc(`=rdk#j?dQ{cxbCawvIXy)lkZ9QSU1nyxuVsSfN=69s%Lx=*b31`eEPMhg7$} z))=X!8jluL@8*w%1%oINEa7J(RKl;pFlyij`iWm_apN_TxuH??$Ys8(nSuQ=ADH`U zSuQmS>L3<8w$MRVBhl{8s5+k3<$f}%oM@n6%Ug)lY^iLuY@%8>`-)MqYCyHzTBV%R zwU#`W;z``DfKoSO(yz}eS*)uy*UKp@-`HJXoIqJ;Q!Q3LSsT9r!oM>lUG7Pe=$vU? zG3k5t8=tRQU+wRAOh$q#<48faKKOa?H9T3X%L{jZe?e{i#>bR{rIW6`l$`Y}iL=-- zq3?P$bye*(5(}7?kXgJOdAuHrxAnM^CQbc&jk88k(x}~R{tLYLdbzQsL^05ekE>JG z@`a}&^(l*)=57WYBQEOW3p3=<7e;zcpOnDG@s)Co_zyO5)G z$KlbrUB0qAB=vYUALJC@@zb@qcSW>gmmM?o_Q7R+&wNev;mZnhb>VJ;kJtN^C*xJu zcJF3ot@aL0NFhxK-W5?k$XAcOqrIG zaR0-lc3C%x@h`^N-n(~i_;CcU39k-Atn_W-m>FrF&P+tby*3r-x{ZaKZ?R{Bej(NW z=(gQGOL+T>5`g`TTc}Wg&o$vica?}FwWfGe5E_DO>b*3kR=1>GSD``N_+mq8g&VZM zfJNWDgXGR1^HYIDT4XvOO`hyaPw6(-aA(CW+s>3}S2@I6s!ygak%auO_08krZXa5D ztsV~l&YfKB+T3OZwQs^FYuX#D?XqxdSer+HGqzJ!Z^aE<19>2{s6RD-qcb_vqFx{& zFX_~mLc)qEAvn5WE01pZgMtr&lB%83~zTnxHWk z0n_Qo+AauX3s6a83zfS08BT*FzV0!Y6#N;MJuApw#Tms|I`i_dh(3+CUqK*Y2Z@*g zTgw4vtgB#zpr?i3k_YHk53x^_^GzA{@hLcA2FF)TKK3I|4Cind+; z)#lIXD9c^S8QW4J$jC5=Km?m3gD?hzYWGNA=jXNkx`G$UWok${+g?Zyt@zgbO0zd< z%^VZ;yPOERwGe#8+n9NE(wv&!Lb3Y?UNpEarX_zIiGS8a-cuhIbEdd~;4LJg_rfVD z?k|jMhj9Mec+|!vbZZ!4;_>Uk2uB(JgTzJ>o|R1~ceS(r#*g>;pMR`i=>Qc*v4&k? zf<6nLFO;Q1%_u?$;_!9og*jrr%#;%N^|s-1S57g{5F+8=rXmy9EY!(9oXtl#mO0L6 zI{xPyO=Ur1*}A++?*42A$S1pG3K)@F7U7Yr(Gh~}IKbRDZwise-DA;<9SM);``n6- zb22m7Qu~P}_AdtTZbGEHAFiw}@GqH2FpJq6P>c)gaS12c!hXRV`bT*=#AIZ(g^lC77aXZZ_N3uEWL zsbVfcMXaPyd+g*4yDa*k(_Q11S-rF!-u5Z&EJh|&3nj2qPW}+2N9yyQoSyyRKYL-# zSSy~W$HZQIB)1rOi+BkmxwK)g!T$Cu?7JK9a4ProKg|FNz<}U91QdQbO<2OlJ> zLTn88Jrq3|>25f_bMG5@zuMywTm$0p+*%+vG%`r6TlJf~TZ4eZ|KZl`{>3OgLy}Dq zg)7+*Lt-(@ZNJ1huT2Kvt;2{AO~Cj1yt&=gAR2*K(~b64w4yoI|p9Cae@ zgWCx`NUK}i!}DB=jXsWud!7i`4(>GI{TPe24)w(q+#XW7t+3>kp&NbQpk0DY3;Z)T z^l@=(2oa$qE$bAA{fT){4vT5qus&?<5mvbhM+Ual_i?0z>1F|#6H!Q3%g19*Pk%%? z=S_t5GA2J%kHsjPqS`6=X1kJ_W05+Z)_mcs!NOld`tuEt?X&GY^M$CUzypn1Gx9HK+?7^&tW@~jF|)sjaPZ;bc^=g_ zE$1g^T*03E5W&KW6j>1a*YSa?XLlQ?0dt+g|F!+kC-`teE@Yl$?e)YyRcnJ}59*v9 zK8Ip=SpSxpYi+duKB|XI+x`kD_dMjt%JCCYd*4epr)$EjmB)v~lxN>tK+_$% z!JtuigQq#b=m6quKA-XVLyHl+OHIhFsCnDzS-(v)5J}MN)!Z1UL)_dWwr5TTB>*Ik zV`Fl(KdGUctjne_*ocrDvS`w%zIx@(;8vuB*(5O8B{S`rk6 zT~N~PiZXCvMRHYYc`+pqy7!^NmWX_qRMOh6R{6w#S=`cwk$ib=Nf74lxAp+>1602; zN$<@ewxnBajG;NwdC26Q5gVr-~=m*86px*Wt}g&d+Lg|&j34*AWOVN zyB*e4IWS(mg45VgRc$u;x{fNo8ce3={5mhd!oz_A|B^jM`tt5M7#HD|&|k>*mFLCl z!h?5JFYg*^7yBF7CK?D8;wLU%8=2^D0 z_V*e>;qlb%^i0*e3W^F}{ZcF!+Yszr4Jy~O7+-E%^WPL%z_`eH8NoD)`l;v=BHb~~ zC1*aoDFPV83_&|$Qf}WrH+xDE#Oz!qyNg6yeczW3xbFqmr)ne4%E?UoM3C(@)^B(} zvq#uGJ>rL5O?7#Q3T#!}SURAzyPL&M=ckls32l)YV88U;7SJ`|QN0!b#u_4NZ(Md{ z94!J7tB;+!F#fteT2B5{%8?r)nxZ-7uw!BnWa2kJVJv@1#lT!$%5VM#T4{_$xJ8NY z2ESsrMt~xd;n6t!v8Wr#b+$)t_Vo?(2cpswTc_faWcp%0gJ#bV^Y&X)tai_j$)y~$ zIk^0BG1I$wrxfkSYw>f`yJ~5DXa+n*!&kIjTgjy!)9Sj6ijD;d?vRoqDZeRztdQ#MiHw!yX*8O5(TPrKC!b9TMBClvw+7gh-XB2*rGJIsL;BIrGq7)3HDqe00^qJ?S7J z67iyrWCn>%QZ}3?HS88Q?AH8{l8-V)W{L!he-8fc{;z2=+4(6{`XVl#}n>XDqeysBtH$3K9%F^qJWZEIH<=Uj@iumt~N8zNmhy3V*AU zfcoO*_&D{G$nQ^4RORNDR~Ohi)t$|Fk;1u}EcNF!GA&U_u$;>op*l1Gca!W|XwlK357@X& zzy71#^BLk6Gn6CiL2r|}#**(?=vzf~o(?=X_^8_5R3))Vm;{s5%uX9amt=oTvgN%~ z%{je)|0P(~OWA_=0ifj2WW3%;=j_yMh1X_n`+=A_^m>!3Bi7)m7qs4VqZt%Tv?f9- ztn~VIZqcuK0&df!r*@?B$!#5OzJ+YdTQhli;y=Q14CSUCSsb54fhjAv2O=(V21*j$ z8oXZT*1VY9`ZWs+Tlc5=Ck*Z(`I$s^SH!hutuiTG%*KYfpl{un$tWM7!+q~~s-Mk* zZ3=&=*^;ZzX&LvDv!frK5g&;p08}QmEK;N z2UnIEsd?M5q*)8c%Yn;j-}=KS z;qM5}=>e^3%jQaLHK4p!fB=B+|(!leo>)7+j4t*dGsb~*k^B}IfxL6KAHzc$FA0>$7Ezj$Bo5a?! z8JU>!V*G~yg{w8P3HW?W)bIN|(AwSC6&!{lR!d9kd#MhnM9PDWAYfb|vci;K;POc3 zU!U>?Q5$0d!a&L~=_I82OQ)_bG1nsrybAM8?8onfDS??kFDPQ;iiC$h>Sk~ZOV%X| zlnFmx0__qDUd6f@REPH338faaNo9rh?no$V9GWQ4n^g0+O+a<@ifA7uOTJ;a{S3fJ z^IpzGxGB*Yy91L=6`yt1Ylh@*Unu%!>}c=xKn;@3=3ODv6o6uc*hVX*9my$rZygEB zOZ)h>RtCI;Wa9i=Fm*s^SS|+35_R0-f#zNij9m;+z7S#d7woYjY()M=GSjkd8ghvS z5XdN?(V0w8~Gc~G{wAtj}7`UEtB0q(=)7KuqN=90YtVld%y$>j?4 zlWBKiKMajgoy690sl!zwQFVN-=TjyJC+BeZ!=aSv=K!>aX9{1(C;K~FkLBi;u2UU~ zt$>TKhzLh5J?K0a&g%p6?6E>?n|UMc#F#8&C#lYzwx>O75^Fo79u`t~yG^~(@I)97 z|KBB-nojL1jKuZtVaGgSH>YG5-P;~A>%u4-e-`1VKZ+GRI;1>zfEF?L9d_O3BqPdaGUb9Gf zFcAiOYl94dcncGyj;z=3;o+b}ahT&0rvEoI<)(BWY+451^gMecXEF}>=N%QyFY+k( ze3Y>30_H4GiwF$|q7rHa@gp&nh}F0o#?O}<@pZa0Qc=l0=L3BUeI~Ie0z}_XYW;hJ`<-!YSwAkxVA5Zk05iadS(REZcKKUzXuagnZQsydqck z3R!0_0XpZ&LS=u@X13JGACtex(~tNnhe%wX0dsHW>Oa)SaMUfjmZoR!?xgR7&#(D4FEM$o>Di8B82k5?tpZyb0zJCy^zm3X8ho@G#g5uf{y5;BRF79 z5>7Jzi_HymVokIuR;v6ne7kQi`T!Yx;6*stiXZIPTNE9&VXgANG2_mmo|6PRM0`%X)Gp1Ijg!I zCze7#l8^;3vLKmFOzAg3)-}_nG?Ot6uv4v(GuvSqOt(C=kT8EBU zn7o#@Oee6~2t98D*8(BeSin<-*8VCHI9%%@9JmB2^h;3S{fK0)p=~()8T}&dpG1`e z4&{FU$fIYlXl{lL`{6EEx`mrLj+#KqhC4OZAWDVgYBbWB`%_ zTItLd_}h~CSF4#gD%>=!F0+lH3x_r_fX2lF=9lHD2xSgaRKzqUHq}h$aBR}4h7etz zYk&Mm#HnXsv!yCHYAXD2vV8hX<&*L$5e2|MD9t~J`5$gt0S5{Kp^OK%@b4ib%Q#A{ zk1uXTFy?v1XVHB4b+YjU9PQ+$&{wk8-oVq-uQTTj(f<{{lmC}D{;!|=pNHQHXvMrx z`tH_`J@#hHDf_N&PPab$AODc7b<$N;#ZILW6L8-m{??KJEOc@?7MuK}AD!M3vC=9S z=4xU>y;I6!1*QV3bKo8qf3#NNtR?nE%cBxJ&z~y?twQF#hIGY1+w;;N#8nX&LyB zo?tCAvy|Rm>HELa;Un(hcP2Ezk|Sk7Jv}{3?e6sVVKTipzpx=pgaJL~G?D=Xfq{WK z3-b#LXrQIOaG90W)w$CJf^W$G&J&nT=5BeKA?6EkS(CQ8X;mQMkJooQ-*EDHcRaXz zz6mq|mt`jzxI9=q1^U1e_5Gc6Z}i$$DUc4OnwGkz;pF5z*~xb=DJy%vCu!b54m8h2 za&mS){iZ~}d9pcpbJ-A{f>>?;*M2=Up`osB7-;^x;c@bG4r3<^7bHk`JzDFCX45R( zNDIGb27Tef$;`fzJHzDM5> z3sIW3V+I&I^FR1mRpw~2o1~%<^#Fkg5+Ig&tU&jylS-KfOm%g2!zOD~fGTt{VFez* z#5r~EF~7<=v0fQqzyUDU;PIv}J}z$O;0??n{TBc#c`Z$4(B)?6XFmiL&}oCQdB zAq_|lLxy2sNc*1WdB6SDsoLkqt~x)?uG&+gYZfzW-K+2JtGlo6_PwUMA{99!IRrse zN>AjqAc!Ogf{4m5l7ce>tE`&f9}?F`N;((8%kSdLFz}x2)e{3(2%@-5_#qlZ2ONWw zVr~lhZrVFu|rDo4|Tj!*3h0_#tVt3+efOp@jRXIXy4dZmqh-aBb~iP8ocuJ;^m7> zPdwt)u37D>h>XSb+)l1^zPQpGQXce8C^_=&_XJC(@`Zbz#`C1L$PxkU@hSi1IN=vX zY6Al}SGX@{qM+cCSnY_bTi>p9nORcqU9fua(vRaEIsfk=d*#KTe~)+~p^N_{pOSX zi6jY6$K<7i+`CEwlpNPM&jne~LPTK+aZU&rV)ZpycE%pP&P(=F`2I_%Mh^^!D1 zxD}96UeEB}U0gX_N{=5}(Q$Anp=N%Nae8uu!DGst)zvZT$vtdYAUt~SH%HX(x$Wg5)04tmE199JgMShQg#(Vgq_(~hBmTajsJ0op zjT{-V-CG_&?2p?SHTwOi7_;yC^Jn<@a97vJs0i%J%3`up+%2h-y&>^ee}j$#T1lyy z^AC5I?7jsN8MX#A*V>QWR5EPzD0%$xdgeO{`c<^&w61|cA|oTCVPo)Z)r9^RffpcX zkJQG-hEd9=I+8`=wvx}mOlWL!auM+b>gDBuY&;&-TKe_tt=PCY+rBg@0ZKXTT-AY` zc$0g{J-N^M^HHXOa3)d5n2Gg~j|_t2O=oR1GQ~%u|pNs);`ma+Bv(l%g&FBxEKE zS}BWP{Y2Qld)(aGuC7%C2^5tgl;6L9zusF#&`s=!k*&SGj+Rz5tZ_|1ElH?AMVNTm zAE1c*aOW4Ug>5glvlE=%=2WxKYC)b*!0~~IC}%`O1i>!ypJtEqM2#cdiyT`|Jg8VD z>)lQIBSfe2b8~M?ogU03i8`hAN^DBT#>Zo}JJ?YEICS3Rq_M89Zb3!GQ!+9#agVhG z%C=7(bDw)GhX%40!3R-3kvlss=zybjmj}!~%bB6oV3lggA|-7oQL`T;&D+12O3r+N zIvAEef4%0>XcBnh&TCYwYI-z|ayva-!uX#h^4i(eCkDT3R|LCZ!AA@!VWo ziUkD)@Dq*;PzI`?qy(8JX}kFk3TiKF8Y~!j6;m>ZYyT z3xhQ%lOiHw(&f>L7e0Ffio(|Y86ttKN4U*@gt)qDE4A~RgHg!()8k0y0^D?^Y?E~N=g!ka|ca*xX};Y z>~gHL>rD}>oLFZRwESociwCM=6oo>eFf*ZSBkk|$CVGA)@|(R0p=KfI`fjg;23z29 z#aHd=XbVeA+nxE&l8(x%DxlCXF=lFl3@%VJ_kZS46ngbnc41**1#F18+wv!Xj==k5yTPN-c#@F$uXYs#39t>x7uy z5fs#BU|_hB-srt+NxwcFIIc=&|duQSXXzt+1@TcW}j}+ zqn@X2QdWlz1lDN;i|2lcQUl2P8-+xn>KdP_XlUpGh`(hsT5dMp8rV8GI4A^!#CiL+ zEm%;AsFjt3qQAd?Xql-vw&%Hus5bxg;jUQj8i$G6k<7Sg!^Y2##;R?;j1(JWCnYf| z<+Y^R+1sz_PywWTRyXBiH~P987)HriGZ4gUS=rW8Y?%?8pqlo|%1X34nknVz`x8BO`^tR3tn%?EQJJQ`#PE%@mfE>6x3GCubt_rlZ_`Wy*!_{bF(=XgoQ| zxt*hvuD(8}-4wyHGK&UdHMNK|znxAI!DxV%0G1}2rWRaQz{iJ^gzffzQ1IR1%U7pc12HeaL8{@IiN5|Q;w!Iwu1kPim8^mdZfKb^6BxC49?o0AhNtb$6B{KzoUt1 z$K9V=ABKmAMZT*zI5>>r)WAmR>LSJZ#$2X=%dq+W=KOk^k+ya=fKl(}sga}j(zi0v z)%IfoYU$E&1qB6wjQ8%|wZXm9gu~%>`r1ZD6L`*NK0b(RJo^2X?~hi5(;NXp5`3AT zbo#SW;{tk9zo!5W_2O+w`;W>=C}rapmXdyb=_yrY`f!l$w`9=cpu3oGd1p!3jAYNmokgApT1luH8O~ZSO<7y za9D$ZR>Of;1US{a)5T5DzQsR@94k7wNVKCK@HKwYrpaTng9RmXMMXtMXP(_PwLD4_ z?*lv~2;8&&b8oPL~kJ%uGYn?7TIl>i{mZ}4bW)yfC_N>G(N0vP!JUm<^ z_0i11$*IVhRZ^}bYt&^rx`kH{+<5EyL~dI+pI_-d)6wJP8t8O7c57yHurln^r^OnZ~A zeJk{>2k%^5U4^}O=Bs*7i^|GS8iDvBkth(X`6tN)wh)Yya8X7P`vh>)iRQj?v$nmz z!8Bb$YJ?kPKaPmL1$P@zi2mBa>Z^*yVu2Tb77!4SOf)!H!0AfRk)4HZPNiT{D%)mi z$Uhk5R1BD#|0YnhVmw5^r+`=agLCZv96%p9pmYBm{Vz||zNRtjjOHYS*SBmsB3agJ zHAx_-qAKt#AoYRs%@GSXMjSl^wdYOwI1L!s69-Zc<*E%K+%e{Gkh31dT$N5Pc?G~! zU%~Xy*plq}KX(fHc?lx==SZKKi1z=KQz;z(W~5z&Ad}v??R?+>Vq;@L7^M{u&@$=hS=&U(x1q&6C_DVygT3xgDt2!|k9Cy#uaI@NbAb>&Rd zEI8&!7X>INO&%iI(*n;{k}6{bt`6WT9Gr(TL{%#DLZq(opD0UrJ43R^K%;yJxsX_D z@28Fw^*j(1WgB0DpyeJ|SBtVb$MECJA(d#km=#uLY!X;}D0Fc-2WY#+^~b+ogqY=L zWUzN#C4z#c?3I5pM?AUvsr!kw{~xpZnCB{kY7MxKasfzI<2gNlM!ZWS`rf^JwsjN< zX4k<%boWBI`+Kk=`U(b*t5ipx>-k5Tm_ie6*Yc+?v?+w8b}5uSzIGraAz4wNg3bCS zCTZ7r4ZoHc)q#gmPE1U^cjpfKG0;u8xuAVgLO|y2T+{0qz{5y=1Z!LX5JgTw@q(b* zfFFsxPyD}~g#V-L|9|5#K!(rG%4<+5uM)@e`4)>zfaEVESSa`3Q=qx+(f=aIEC`c^ z2oS3u59A|l@vhI3+ZgE9vjIKnc!P8Qhy;4>3?h<$Ue^>M02JW$|HY}LFn1#8X50U( zam9!(4~=(GiTA(KH`t);=}jvYvQj44of|C??em9MuU-X-T%1i3P+Ax9)O)ZN`rfbUNF48M-qfgqM|m-)Y$1J@b; z;ll#f2e`{yO48{Xgs9XRc#=r+goh_DCpL99oitthK>#572`nhs_f(@JiTj1|4Jd;H zWSSrD^6|ynB;ANg%q;*4_qYLoa(}Wz0Xj2R*7f&`hl2T6)0>zG)(3wGk?5;hSXkIC z^(BJX2IywizxE?-Bb^z&F1W3nTh!*&e}DS$@DMN{^Y`2Mbu=|;|6}kbcrVUzx+|+2KP*T04qsPgo6tcS zyM%>1|6^sqxNO%+z+FIE_%Eu&pvzY-(48q1L|)+>os7N}-*Y#elGm{MiBX*+NQz?t8t7_j${qmSLEI9xDUVY2{#9KyT`-x(VYQ;zTHd_$%AdkNR3#4?}l+c|3|@~Yl;_WA-AB8xu@RV z4Ircg2$geu?AL(a(2oZkqECT%lp^28RAw_$m+|v}2E{LRO-9@`=w=vT6MHkWvL5~X z`BOkm8*C`ZG(esLfJDp0#H6^J7|PIYdRRuu;4+?40n6z#^j*%_2=H!D9n$$ST_ztY zch-z|IB__2N8I5O1*}u~opbE$>I2S~+5V@h7_sdh`bB@8oizs%2%8y)f=tX5(J(2G z=LOUvtkJh3)EROlLimQaUbg%R%l%?fMz}tsOmq6DueV!Gqup@b-8K8AzOk#bX*9BZ z09a>fS-8+cUuF!zv#JgOO%PIZKqF$!CZM4Dx@O0`Q>!K79a0$z7LU})lC$xBiWB~` z#xAw4_h#VMAHY zXP1KuXHENs+&7cEu~P#lC2;W~nbQ7{ImNv;ipA9t=Pwc`X;*7%Z1+N2>a2H;+%sws z5}d@c`fKM%+Y=+*QrN49+N$FEe=Y5HVz9LoNO3}pu5Pu=Kn6Ak05rOg0SbCzwCvUC(A9m2cf+K<03xD`U*04ruF*FZU`PRN&AE{sxX?FKA&6{>T zU3RW~cPLT85K_u0RXVgu2C)D`ZD$ZyN5C%6Bu=b91E>O6Ow9C$p_Le5E&j|>jw6IF^{;dq#FLO*Sob4HF~P+xi76cq}%xV7z%{h z^xjhXoU_!Vr(PS6TVJAKEv)hMS1a2X%OS22W{gYA_P~N;P#Ejk-m2{`dF6=5Ukt zgxrF&v1(qq|rLI z;}Lo;<3^{Aq4=fwA zbyXpBVxxa4H1czs^%-|mwy8tvl*AR2oqEE?S{IVx^W^s; zzVMN0CW!s?P_5NIB=glef4~qM(npdg{TVYaN}|K#?%2$ru9&t^&2)JfW$x)fHJ|N^ zg-g1=NrqNLoMWksapM|iDKd>6eO49|)c#qftviv@$IG9tJzX|S^VxVQWUZ44cf+!4KrC#43rG9jFENTYu;hyovu^h z)3uKuvK+#4^bW;()6LiJ7HKLv6ddS#o-Ei1AF024_i$)- z%WOryrbgXO`|+Y%bt)9FUesDAhecgQ{rLyt4;? z4LcXq^2c&iM`+E5cg%>#seGO1A#lIRu4R#iyk`|F1}t`^da@6dqVH;}5v5Ow*UIs+ zj_2FC_y*90zRXjpi;^-0Kdl|pjb#U$^i%d!frbgW!^_we(Xy7J3$0D;_uQGqo)$@* zVaSAqeUWQYx_zM&+(I^cv{G9=nE7(Lb3|5cXQ7aDZVuhA1(%xMcISU$gQx3n-y?al z;#is%dsB;k{CM;uT|GRWLCfDgK@4gy`fy~L@B8>#LAoFuL|W=?nN43a@u%%h_xQZ6 zb!_u@QgjTErz2ZSZeY=@6LsSE+%sGmo26sf#INln*eGwVjndZ`1{|O+BS%DQLS&+c z=eKQ!HrfnNM;7yuM0?NNAR^~Gtm0;~4%aS;-!?g&62B~e_1gY%T@w_v1=|SBw6xGb zk!i$&Py*jDnC)|_+@~bwKGlq88vL+%o^q3mSVcKf& z;(}scHqXHNFxK_<-S1cLg}E$m01H-Tk#(|6mTh#E5_0MaN#jM8CSG%f+NyyIIaG zl6;$rDJzB~&p2{fgKqnX7+)5uXZ+v{Yys##U2JfWDzsSyArRGNain^LQbl7 zvih@bZ#b#PC4jO1Ao$_Q1k%-Q_m9&3BFvXUABS;Qc`{fiEa6igiRZG#lB^;&w$CC& zmUtOC%exhpqsbx);>P>y_3yF#pcXIQCZu-a-W`fR38~pRA52aXEM9gdd$JSFEp#t? zv#0E6BAIPvq74qVbqUUii*A+eCpm>+g~iPT5X5+Yiz0pV!1 z*S0w*D_CP!k$@5%nEm+yBrumSgINT=p}t-pBqHuOUXb*cp(gMTAm~Bkw1a;3ba9}D zyGc~iv9xzEQLMj;AyPQaH`#}qw{+{m8~jl+W_W(LPGV$j7eiB4^8TSNgb1c) zhnfdhUMqfx`Wc0JSY8{`YqOvEe-O!>ZH_;Dn9EV(V zn3@*C9@nxM?wp2-Yw49`uGk=OKUNSvKkBKQrM2#9h;-3kY+gXz^51i|xKc#aPY3dX zJ!LqRB%)FE9&5aTk`^IXf;|2cn%>bP0R`*Ig?28N>zVXV4&FR$ep-_#npL?uSo_xn&yUQswqaT%1C<} zh?W&%v?gKa-+V9c(5AyLM*C)nz973EWKzKWTG2CJ>F2IMQE_qch{JT>yqkDz;uvo6 z8p!S#V2$vZIqFUer!({+##d%=qp)jaD^CGr53P>+d2|sGR#Ho8UCL6;IZbGRqTA`F zDxwYpErqMpsOh0-I^!fUkA$__efSf{P`GGM7@F1^g3Cc~r3smEaj`1*vtmt9;gw|7 zC{}qS>c+XX`~=lM=7z(5j!9>0>6zrG1a%pCkY|>+JPs@wN%4BtO>?SMB<-yuJf&d{ zzl<=`+GlTA+yB&Yd5sz^xzXei)mm=X$k^t0W1)O(&*SH5Ra(`{CC9@yo+@$@wb-?B z|NShEwF{!Xy3dp=FQ=rxGkp)s`$fG`)(A_!*471bQI&7~Tr~FBgt3wAF>AL3V30_N{{-mKtB2kZO^0(wmHuCWE|(}d5G-=EV%SA9Y-ZiIyn}1 z%h8WIhyc6sMr=mVBbg71IXWEb?DP#o9LX+0=lkyO9U9AJCZ7bH{~^gmOIaw^4lP4WE*_NZESn1 z1>xzxnd}|?dDvTDDsw8H<(qXb-E9-*54oCEBrRiK9lkVOd|{+DFQP-{S!G*+(Jzfb zsV}+Q0|PC)UZ)ApK1+XJe}c=NKG&>r4Nb-RRfR09e8w`#wMY-F4F55!ILi_c`<^pl zsWISCl_$U8$7Rc;v+Z0{DHt6qT5hV-OSX5FMD_-tm8B3%X}-6VhH?kSM<*&IqTSs^ zww9Gqni?(Aj36Ny4oI7G78PPoa}G3PX~f8UVz4y)XhT|4;qwm0;^iAt^hiT2@UNzn z&q5E2&j!6>!~mPLpXrfp(Snr2UA?TfOrzUrd9Ux@wemkv0NH73YynG$Mzwcyw|PM|dy*S)iY65wtXS){9_mG$!j zeG#Z%kK_=^wj&SK@6b~EJ6-x@D%=tU$VKy?7Im1FWJe^`99Nfv=WnyByWIDmPAA=c7Z%$gKS%9-8>y=)+OOA2b>w9h*2SqOTyjx* z#`6_1i62`q?bm>%7Fo8MDy74eHuJC4skFANlAj#xrVqUjA+_M*!hG$>{>eR!#5C@A zISRVDpL(Ia%`)+voR7DZ&8_r)I>&Av>6-*jydKT9DeRon?i^o7oDO#0FQhJ~J_lCr zq+d%%R&mkXr@MT81NKGy1Pe$p{K;k@8xA%3MgJLDMj6v*0R^(!7!50^<^fc7!d=%Bkjg~==LzLkX+g;{S@a&`>%&9HEO?ypA}Z& zDI$TA%~0zc0l7j}wZ^sbV^n$I?*@lXgz%=Kvdh<>h<4ViLc#dnUme)gh$u{tMpsR# zZP_Vei3)wtTju`v(iQXaDV{3->E#L`k#PF1B0Qx)otLqauv8VvzeW;OR# z?P6x#Y-Z|}5UsCjqf@qBWk&yESKGqd$lX0>Xh^YIhw3Lwu_GA%WGU~j=f3yjbR6^G zdVQ6a9n!Q8B(lqbSq&0eJU{QnEO(ZEnyQQ`F7x=YhqQ==Ufpghw|S|Y`8Zeq=ybM| z*lzr-46kY;AXy)UGIGa$i9yaSVb2p=No`1VY!6A*JJ+069}){6YQQ^`()FV3r!$a> z+ zo;XMJ;W^p$=l3hfISmny9<8YAJ#jL8hSWw)PVD^z3+s>9^;Qp&TC5(^U3Uok?VX3~ zi`}fY(9Bb*mT*((J)myZaCiN3T5jWDcQEvW?xMA+LyhwO=Bh`D6eq|1hhv?cW>Fff z0(ZiZ@~C42I_%P!XBCW>xg>>%;U05*cKW32yB61uB|t$wX8_s6H9Eq6BCif6$LV4h z)Dv2&i!VcX1lfulR>`&G4=u%)riZON(Ulx7Qvn;d(D(QKu5QBYhF-rErOau#?B4cU ziNz<~GinVah4EbdEidv1Hiuk&Ygbl3)A)z(fggKQb*agtfTit!-HSJ zCsI=b?yB*AfAVWfl$u<@8^B}umxS<~%@D4(fdunc{Oc%8peWj)$}|atB&5QLUIav>11x^clN%I8=g3$k9=IG zO~lqj;G&LM8!$;z1~RESsUzh1Ipi7+6JOTK5y+pBaX067{oWVuC0id8^{CW54!_f& zXO3gpSYK*x-p-PuT($nK*CT7MNb%>|KH}~l+!y)ptRYqF>C;S5+~j%rY4+8FmsMjo zMKn4vSdSv^uOQ~(DpBVJi0@J$0#r}MrmZ^O&mmS;a%}gH4COfD(WS-hx0>s>JS=YSukEh^ z-|ZWz*JV~^qvMhLv5M+Kc#wvz`f4`~kFLXuDn==3kUlYcB)7PY37za7Cq6AXA6DJ6 z)9{Cq{o5PRK68CPVR|!aSu!=Q^izZDQek;{`Ow2Bpqx9(loAOm3g2hW+%R$V#O5|A zfpXa0?;CNdjmI~Bu&oTsF1D#5eGdD7g{4e`yFWL#%>x+KrLH=XN=Fg9Y|W%9<{(0) zu8utZJSV;)b^B2622?RCc8D87u2XCeW%NHk%o0@xQw`IcUcSE z@u(rsd{{`-22-K&h;{dTu#e+XZ5m80mpV0nptr3<&ar1|9*g-bit5O?2cdrwWY#O9 zn5Q7=q&EezABt{LDqE z{pLAka6X6~@A9R}t-4{cxX*cl8GroOwQuk}XB$7F`lG$9OZeao|w2tV{^}a(1KCmE#CZ8)1<)^sX7*)rUo7gb3B>O z8Fx9L^FAg54tHVu!k+CR%zt+!9{k!0e;8jj9QHa<*+tAkkg_3_x`Ell|HXHEH5P`k zNG|B}cag27e!be@VBs2j4bbiA4Emt%-o2|dHa2#DELZYcR)bVy#~dMXmfNUbaA~Nv z9>@wiOYCU#*pn5~{|{!Y%;hqcJV5AD1w`G(bq^&BKUDUpk6m7tNEaoTc~Q}P^@Omb z6owaLbjZw;V z!mM;KMEysgx-Cm%J@%gaipMM{;-1tQG*Lu%7ap1{{&D&*{B^a$$NZ! zdKMNrm6er%dg7~_VA)3fGW@Uf?FAPM3PK*dArhlBYG0gA*^u=Ie%_*FO1x6Tu~AMm zLR!O=)inRgQp4sY5f+I;`u(*}Tz^p(-W={W8yCkMGFyqu9Bl_1FVNh1o|F{(CGWJe zBGuh>W{Vjv?fCWC#^eOz%AfuMczuA-nX9q~F10}g@*$PW=*ujl41Oc5AfZ{1pRWn1 zcGaPnzNIgqu<}o(pHQHSY8EjG&e|}R35xs=+3z1^lVoU8@i1`mFizUBFcwhJH4WN( zJ?~v(S5?D)i`6{~C^k|~*L3}s_bsor_SPs1V{}UHQrU5|7CcktEI79y5Pn!`GSRBo z6VR%v)Ty55qBVpaeq$87;b^oO%vL-C+I!hUdv0szkxETJ<2R70KN!q^Ydk{|oNF?L z&_1iHRRy+heVlQMz|B$!341>IV|%VRzswIt2c^oH9zG1h%1eA)?uF^6dOI|Q@~pL= zmrwhblv?&Zt#^%O9Y0A+I+xzl`FZR|}3kXc^fQvM?JTU(lAc`v->4@7L&E0Hn$U?i)u~4G}XLwHJ zW~yPxjqRhF)Ba0`=ZMr81oT(le*G=~{x=n^f(|r}H0$Sx;eRfmJaS{+M)gORbcdi*lds@*KN4AJ) zp{^DdLsLG+I(d zMrQ3(yX*QJKv)~W%joQ1ey_juRaR&g0gFKue3B2>Q5_=Jy zRXCOhpOQ+p?42DCjk3bCOGBk)~qc`{n?aEx&%?=?o-lEYAnRP!EHc@0JpqUIi7~{P|}n=X%SPQGH{lC7cKOT8xi``|B=~oJD_FF9Iqsg1m3g^(BW;jb% zcF*mo|M7d5^u&d6pZdamf2A*ddGDg6bDDLLw)j1YT#`^ZC0Je@+B-QUH}7ZtBgkr% zJG~ne1XU#bzd3z~Q;!1O3EgKd)0LbJ$h~>@8Xg%6`pbrgOT#l(zO1_vv@vsf&Whl9 zi%_*>frcbk`ths6_`z~t9yG)5>~~)LOh`Pa83^Ow5TPZTG|!|DKa>#l3HpkzT)?Qj z6uhOuo*^HqO-!eaJ+P=N3N%;d>5d|=Ys+N1y?_Z(`kWX+0>RA^q2+h8=wiNn zA;6&2@m8B*{j1FA=xERo%mm6N9FzxC%_ODO)zv+h>mwyQR*T1Z&u947w|+}}Lw@IZ zEe%-PpP)D7zo%3jtB5T%H(4igQr#6}SJVgSN$KzOBwpV?WJ`OHu^Hc-zbHH5(3>t+ z{;&X6*K&Vbz@g|=UxtVKGuOeGE90>V%L9X)vS!@Jv{YZKudoZyt7~y%=ZiBl9}?Ox zGad%Jf$nCo`zwS2pQCoZgNuCECNdSHL5~a|j0tiE58y4C<|^H4L1wH%ySRHekM%KP z+x+bcWt7bVaaJ->TQs(9N+YMGG(ECC-^zqC6$u9}nEQLS4dI7MWAW(@WvdirXUb)4 zyfjBi(@ud!aF9R{igr`GElotNtmB6*e&1F9?PExV_~V0Jg@BzH?4fBQ}09gdmDVT zUBYsXBODh_Z-SC%{4H3r3Ps4|mFz-sV8SPJ7tZot^th9+4*Scx{vGby!-+~4Iokxs zCQqJzsB{o!OUL@th>qCmt&^SqF=_O`!DGFsY%sri&C%rHv_(>`s&?gAapNCa*_Zmc z#MZ0B1z@N{Gr5B>f0FEoP$DLMdlpAJG9vI71uC8%=RmtvgK?>e@ZY*3xHyZ!xekGb z-z)YV*Mbh(PR>8NyXKi$%7oB#Og18`mFFD2yim)zjL4+W9o_t)ACJ0`Y)8GS@9J-N z;40qA(EsJa6wM)`y2>86K|>m|q1<0S96(O528vM&w~PYgtDodcj^%I4zzcU<&m`3F z8^ng?2bW4F_n(4BxBd@=<^KA}aD$Ca(yM%JEB%NizT{}1g7)N6;Dvg z3#o0!oZlGhTV)@(;sZ?ts}`+I+gOzb!{!HE#(nyl6%^zw4nF;&wDt5~R!@J&k-OqK zp;sU_>cNnp7INEa@y<|capNzO4AH2yr`q388)6N285q;=mvg}~H42<|mKQI4aL;Oa z3IgWny#cORd|ij>0Isw_6{WE$1z(5EI|Nu{zl~K>9st&~6f{%%>K<^o`zN>)a$fio z!?+Kn>ffYyiYrBbT@A@4 z)L^Rm%1oQ~;+jskf;%N%On2z|;7ineHkwNcOP$s}<49;_c!q#?H&B%D?j5cq+4!S= zrHy}_=QZZHYrivmeRP%be^F;d`)EM2(@zt`RBd|Yh0iywUwaMWd9(n}o|Z^FI#ZGF zuu_@E2_<+W3RocIQpm?4UXEV95KI-iZ6lRmd)I}_`tY=;(B5&ldd;|}n}x3~)l>#C z8yg|9Kt{KdkXw!I@3_Y-UERI8xqD$R^~~R(s2iseZ6Bg06KI~Z(Y$&SExh>#*2))j z@T2vcEMI@B*$7Zet9KSI+qVW?WA#l)p=DUI*$^A-AbP`OSJXQ=K$x`2Wo%90L{wmSAa$NMmUiZ@+GX)#hc^xIv9+o`j*H9Gud3ep8;B2OTr6_#Qzg8}~yZZ$I7} zLj`BY817BG`M*3piIRoBTo5fi4?UDB>8<6|v>l=j<^}+351LAiFVL{Qr03YPWm%sm z%LB0EnI0UuV%ssY^27ZgrKPD@q1zkuSJqe$+UCuAUcC)X9kB)sD-5VsO0~=97zMv0|dy@_j0A>x)G8pqj z#oX2210#J;#IYYn1^Xo1s2F{uxZPIvVl7nAE2Gi9Q!}o!?eD|*_=x*iarEVdB#qjr z`D?35lT)~=<3@M8y~fHKmr;A*l0dIVZ1%4ez4)FlZPyZ?=DmKdDG`;f$!~2t8DuZE zz8{vdq)K6>KJdj(w5Txi>Fd8%I3hCj&{J&qhXt3E6BGh4W-IAu^~R^Nnl0Z7#2&G2 zNPp$K5(z5afv@e&79T2W{j69`Yq$vAw`zd$!N4IXc>91kT}~yDWZtzPql~(h9=P~` zN$r*H@&XAKqoviYL~(ap`S^IEixEc@>@7{l1L`NvZAXCK-XWF7gx?)&RFTux!j@3* zZEU;7*-z)NwbW{{o)xGwG@1>0%6PtaOkqBx5)_EOyf@rBnQPi~5NEIvQ z-*t)ye&2i2z?A7CDYoRyUrBAMmPK04B;AC2qC|!KaTnXgkbnxCdz~x8jmbFMuH{T+ zrOGLKPgzs*2I%*STVcg^)q89xH4B*dd_>9p$Z1$lTsMnzygP2z?6JC@L~XCIETW-7 zY;8vXOf7+E0c0a@(v31godaKQ@T+M%v7E_ju=?qy3#9|9M9Gv{$Vha-(SQ)o}wvwf|Cq`n7BQKr7yov`@Q1pZn;e)a}c zUpYZow;aFDIR2h-Ifdm&x75DR%v+9U6O7l%^7)s;1#eRi`7RtykUk{R7SS#&avH>) z;=_+mgIa`~5E};k!4UIu4zLLS?GL8IV3Odub)MQ+hk-{aq1J7*J@S4)N}?t zb=mM@5*$DFH82(()+=z6d(4z6zyQ#mg@p}D#9y?1*8Eycu#SyeiqT0Y0VlS|#w5`I z)!|2%LeaNFo99#}ZJCmCs)nB#Oy^HeRmqy3E@hwM3D{fL)EB8{OK`^W2RM+$e%o3fgsM&O5@H>6H{X@Vlc@E=OYmT?b z5C7E8yhiO6WNn9y=sFolRSA^8mSOw*k$R_Qe?OrXSPiEJBz+jOZFhMYxy=A0#Zl?X7WSFAV7#WhT z(cE3f>PK!Gxr5J6Um*waS2#>BdBFlq@eoET09+7;tJ`LtD{=HIOqym$i0C-Qqs!|k zf^HRvEe}j|$gBwx^?%1R@_HR!62>?0_=(q9>GhCFAzXvw;NFc|DJ*C9h~1_~Qd={& z!s#v5ou8ORru6Ia{PQnG$jqgi>#8T zj*)%cmM>Y@?%M3!oYd*m;?j~Q-utqGgo&x9qD_BB+sS4`ZX-hr(`(j=^2@^EC1S@! zL64E|v#pA@);1zcq(-pBp*Kf(h^z<3zf!y^4B|=hKXt+;&B#%DUZXotG=#^!vllS) z9*~}_7oyp`vhkxf`pbd!5-ZOEZow=a^(y+P|KaUk`vXbb--zWA&deT^uVGKNEu#tk z6$j%w^|0u@d?%gfdMREj*%1eB4xdqdNGA2X@YN*JI_{*f-&J9TL?jSU*SA@BXcaCk zUYocfy$=|U;_x2|1mOypmc14C#|sJd9Gvq6!?n^58n%7pjHb2tnk8RAbuS>5Ih-y$ z@x?cvht!6WTF+kFQq8fuhYK~eWJEG13Jp8_esPsIA>|qi_lLfF9`@q?%t_zva^c$B zy{GU4WWvh2PqDbd_XxJ8cZHAjK4@VMMY?G=I^ME2zv|vn5jXOv;uOsNn=GgJ6gfKD zgh_aL`4V5Z*Ks&QzD@N^MO3Tx)D22&TZJmI)C0TkqV@K#0{4{FU5*Z@b>H>O$TulG zRtu(*h)NSUH4)Qosxjl5I`W{m4<~-ZF6&&FAoPGP5HV-lZun7#n!q0rWX@*Ta=tioUE z!&k0cc|QO9voyuc@v8H_W@cug#HAF$5g?Yu|<^utdJ;$Hq)6=5)qbFgPUM+I4af9s|~ud2#&wSDzm-jrFW67BQjaI#^E@mBNw z=4OTbT44lS54r62_i)|Fj}glG`E#b~r{`ZJ@4ExHK51)2BzGufyA<88o4hdUP5TKd zQ3G-zmIJRPPp?<_c9D)kCi{b3E7KQ0OE)uD#G}oN>)nqz`9IubcC585D|CA6^-y#? zWK(5p8PmNT^%Ldm$10_Dd4Pj+JFCxg+x<&<%fUtU7}Pfp$0M&I`^S%puUd6s{=%lj zwBZ+$XXQU8vlnu>!8`a^1L=Kn@sFGxEH*W_w|7_`xD=lY^fqtl>s7e2auWuL`|Rb< zto!5l$X;yY00O+rb(aD z-WPV@2^ih9d}7`Xk7Qb9q@yVsqfEAyROFHn&PGRJ4_|Lm)de}N=)g<#ur-P51|Sg@tC8z3h|x*vrNzRXNtxOs0xt zZ-Thej9#lrL_yH)sEyF0B@Knm4Y;^*cj@fhXyDe~;nos!<7|6r*4$|0*_9CL)v1{d zuJGHJaN$(}C-}uP4{C78KyZiYK7FuVdvg2op$n&ug2KBF=*j<}?yaM$ z?7n}|O?SzrQ$RYU8>9?UT4|I{k&q67O-ZP9BOu+~4N@W34RDNtw0qHg_}xfOe2g zSPCSSz3(T6Wp0jYiac!1P_Q-0GHFc=O4uB{h7&9_Y)fIp@m-rUazhNEZWf*IZk(?L zEk0Iz>z5}ETwHFxYH}+Kt08&cS(ReFqSEp7kMZ{b3)PwC_3mGf(!&2f2s7%y5ODb?)ad(uX-@I7Xi-IM?M_2yN*sa9+s?I8i_eR2CN3na zrz_1P!V>xQUOCvC0b{i~Q&i>|)wKrr5Wt!S2Fd@dOR%|mMal=XqFY!|e0@UrQ9t&uW33D?iz!*lm2MN%v&_A#Nw>ww?=rS0VFXy-Tcv$(<70H;rIZ*XnyWe~b z0IP)kybftGiJISFtYN;LLy^j4M)j(iW6siI0px$Ru!j*3hgCe9}`j_J+A{ zw?sr#r{TwA&Q$fq6nBau4KITO##r7QT>1BU_|q=t(&sLwF0GWV47_-riIFwxA$9bD zf6O@`czHpzW=Yjq^H|D^q=I(ws!hf*32)=RGWZ4b@CttHcuzr-@uM6ylU6GD3!qb@ z!!=GRIW{XX*Hh-Y`5Ys+;bJ$pA&uS`40?Cho}Ak!7nf{lWT*;Sy6v0I;O`9To)H9OPK&sR`Xg;MnqvoW6k>XZ>CDNn7( zs8gcY54>VZe$q?Pp%UsCMaJih1a+>4qs6}OukQ#iwiYC9X0jC>+vySx=a{w+bFWL< z#$H`jZP#_{FwBWLLG4nf`8wyeG!A#3u0YT&t{U=WdICkOt9lmw$l}F}X`A66A!o#o zqsHl$j<#e*a$S4g^uscv(;K!e(bWN7jK!V38ZhRY$<0Fw^W_Sz5YK}UTH=+{vg%`7I41XG4 z`84HJI(8s29Z#b3sexjw{^)H3Vu#edXccpT={wj=Rk&%(hH>Z~9LD7L>Tp>29}=^QKs4 zZ|_LGcU?+o(cW^15|N`bFvJgJoUId<(sH`4rt&c!HM?=T?OxaK{PlPHaHo4v$90w2 zpvBo+YNM~$jL_hEghS_GSkSSwu=d09Wxnprg+9T+H^gAxE4^bji&cPGHt}IB25$E)=0` zDl3YnO@`Dy9$PO4JecrwhwqUdz6G0)QLE!pkKEG!cFW(~&f?fsN7V?YFpKC1mEcmH zy(&uW)O~lee=`l^NqW4g^tQ1^Z zWz(1x$Q;@8T~>8GxF8cdSoIL{%tWLQK5Jj_7RI~v$bR-Tj5|s8WIrWnPQkvj_wjC$ zlC10<5f7U$$ZL%NZaWQa?Ug~n1)FAlHE3sNrF}Y?8sCv?n5KgE;pb(S<>JL(`ufeO zj-w-fzf!9UU3ZVVG(}{0JGQat_W6XMV%3jn*j}AUKT=ZFAR^>_8ZCNi^`oova+Ol_ zrHb)V@P0Mshw3zmz(AVj073gkBKn5+r1Sep^a{qra#J`0(iRRv2Wp4Z1LQ)jO#Ibx zIa@z1OEXlgp5i7K`{r!_9^QqR5zC1=O;&Lyd7dYDnN7ay?0rPOBQNt~ko0$lTk4m5 zOSiKW`$X4Us~2j(lIg&?=ujzcn<`XXy}h&p&@_mUm>FT6L>MBy31T`xhoOJ`7y-Ct z;`uCJAMX-}1Tv>J0Kk2xs_=KDi7yG3O@7#1hMMNmldE)^!?l-OUrMY~{ugtVVtShlE z=pC+C)ix8M3wcg@7TrG)-2O&zAp}64Ly`6PjpN&zdQkbp$Vg~5m^fbSH!=UW*X2}dGtgXiDSVPd79e^JuL4}-g%*iPZ zg5i131QI-{?;yVHKu8SRw?{fH z1b5_RsyWii+tpXQt!Gd~;afLi>cuLm!aeu(dP0~_p1oIE%%&vT1X<2hrBKzrbl>Rs_`@4H4mDJ8+{RVE=J-w13)dsgKgOE)0 zis_x2iM%hBR?Y%q^qJLeUeX^Olay%!)Oih_yx!L+JzHH;Mw8kNc{7Ld6i)bvo6A~A zV)|IWfJoL%P4`Wyt0< zKSr=hWs}R-0Y*K3=UPLnCv*#;wU2*;$@C}*!at9VY1{xnzixoC7IwJOgVw;F8AS-w zq${Rv@9pwO59{&=@PQpR0y1LfECwE^L}}t4)tVQhe*k`rnzr`FS_S%DD7ifvtNHu) zbxjwir^$4g7H!*DnPFi(uedR~?YU&pVR0h&#vw1DJQ?O(H9ff}zdmmo%ME3Xa&>ji zH-S?ekBkt*Y;u?hz9bj|%GmwB2Ll?V-!bE*?1Q4@mIg7SR;e3x!X zF00lFK<6BRO>7h=3;iHMI8>=^?hlKJdDM8l*8l+y23mAPKBW$hnz?01iHCXu@rg>S z@q8DJ`8Tx9+RadyelskS0Elj}q!i&^TZ_j@it&?@{Y)E|gJWc{??1E({E+#o9K{93 zZ(UXt^7DDDx7emMJ|HURqADRN*29X+4mTf}I(xL(<5HgL4EIx1f4ao>CDnbF+;zL{ zSo7low2 zLuE5nieNsR+6C6((M~z+nX*C$nY}XuY;(Xf6R@3Ru}^?vBTDU(lsV=Y?u5cR4 zHUnXjd3HJSgph|lo9(X38VNV0=-GL#+guVq_2e1$pQXa>zg;e*xUN6530|@6td85~=_Yo0OFmE6A`jDkI(h zB`xdsaE{KB<|`y~&Ua{{oT_S+@(YV`&Ay^n!o{f}4*As+yIwRYUM%wqy2!yZE+p)L zz7bg>6EkLy~*cGstVE6JUr;Y%c`t|8hV`)0XQ}MojgsMyoB?)~X3zDyZOf1=zL00GrTwJYQ4DX&oDY0CEE)EagB+KO?^DULt=W z0X`*r0o|r+8|#CGa-)yulh`=#2zPU&m> zu+-E&(t1)8Z&gonjGDXE!d$;_^^61&UQ932AlE&!ik!19XtJY9V4ojPf(_ zi==@wN_o9=)8;LTbZf5xoTps-9HOyJ!PGxoFAlcJH|@zR6;veJObf8|s_yP0K&Qh| z8dX(O^8-ku8Ni2wW0rN$sR^CO>KcDNQX8geZbm~8?Q?iVSHD{z{&|0h+5*={531Cb z^NUJo!U40%w1WwHP($8;bFW>CyHCRmJPUqHEc%B9$(FU1<_qZ)-;K%^cjam_f1dDF zr-=nJ6cEMXZAQA`&6Wi>oU96s3C!R`3Txu9gp?r^!(jd_%ZTYtLdnV8C55G{358}cFVD%LqjgET7{7ODGiWE=u8otPcCYp+nveTR zzksb#jBaOT^ldag#RcAt)sVpQW*H{KlkRkt{W0IPH0DI0K%4+wSfWiQE{e)WN|DeM@ov}GO!~~0D6qwO zJwinLRUk2Nf&nRK1b`k(r)^*%A=2*d?ycrDj_*lFJ~cMeLP%q|Au^AyOzn52nP)C1 zmBN@!ZQ^X+b)TY}I5(eqISbpd^~wYs-yDl+X$PbgUy}|i*5Ow02D>%3d4)*S@!Y=; zp(KoXMphBR2f%t2(&#E;$)r|86Y1 z0Zc&O9K5JIkEzJRp|Uj{wR%*6@h?J7*u}dNgvaiKxGtZ9^f+|ptKZ(*ZoJ_WnKdAp z(qQs#vE?t`6rVB`oznC|Tj`x>H zXI^M5h66fVn-r(98xx#5p;UQbTkHNTs$KfUO-FZ*EbYtw*$h@zvd(8`c>I)n?AWKp zRU@TUf1&Yc}( zk4#<`T7UPtGGFsz#YCOzVuf?%5=N3ZYtB62fB5#Z-;2EGRo&#&9v_b1jIm&9=qrp? zra6_+i*O6EL@cTJ)?vMcNCo45WhpI~955sFu2{9wVPDs((&c#cLH@Muha(c=8$7j2 z6NoGnc~|#vgqrG8*51|}<5vvEuOVzch=ughsgiZ;7JcP&dT|UdqTVO4b--ZHrh>{l z>>`P@V9|7bISSKSXMoH4#78#IcQngAe{&5XCbRFq)3V9d!pNa-w<2eJf6^7BHp<=jO0ec!9qw7XnyJ4kbU7hDso0udw2)QZhFT@Z7OyF=QYLDK zQdErKHF|i#C8W;rCRxOjoI+wAGkCdkYMP$gL8HYe4th!oAwYTF?>7w4%YiI%5SjHR zU*8SIvtRh>)ck7GQYC6~+HZ-9;4j!8HU5X9^0HL97OWCtJtT%$eeI9M*@V3+#W_3G_yAf{{W#LMzdYL^bB`z&`Q1TW>?g0vyM9VH9V|wuN5NY}Ax6V(uN%*{%yvZI1XZpI%?X&ZbJEaEE&YZj z0F~ib(g!82Nfn}x25g&cmBxT*-txnSb0381_7=1@y3IXzX>>@`*RKHpjss}pm`?IY zY4D=<==akl4HDD4E+C#wK16nOUf0Jfr-mIMrt-GaNsI9ES?%o?xpr$O1~D{DYB_bs zbHNg06=xQk4YRv=+E(_&bS&RYk+*?TT3;%19;cefZ;IzIar z&e_vjyMD)Zurk*WpdODla#TM+CMD~=ZnszwHa%B~&!x(%CA9G5W1ZF<(6F%pR<)(U z@nk@j?QY9y1_i-eGUUzLoNBfkbg!c}M;poRQU~~lIDR_E%N|_frG{3r-s&it} z(Bu~*4(C{AIjS^g7We6aJ?noPT$4FsRKo@N=`?j%K%i};YN8GCC2jpqxx(wd6qe-e z8`_Nu;;NPLI>iha_#l&EYKs-v#NvM*iF+>?-hSlW!CkS&YJmHxv;el2(R8E9D(6?8 zwPqK&mH4H?e2A{d+zP@*M*`Tqw@X<@|KZ_bJU`n($A!>B*ZB;uOjnXH8>r>#9Ucw_ zn4dkul}Vm{0ZSq6Doq`?zr?=MW)2zSSsXZJjFGMsE%$jWd{6GCFtqDg`t$N+cLD{= z{7YNuz(hx_q)r9ay{8Wqr7}@sPS)F(h~C!$)1>@Ack@fWFL(#PPqTHTxk37wS97_N zrwZMQi4GrC2$!Lyl6v;i(+Dfm4BHoW!~QLp(`mC{pL9^Q51?T4%Vdiit}I*iJCfW% zsIG69hLbs=zkIS_y;Geh-a;d)IJxs@{OuWeq%o`BHJm>A>QMIC3Z(sgwxG=X_-S*< z9z{Yx_(iL|Fg3>fwHe8W1%0Hhyk|gX;b7^Ao5fp@4Yqb$VpCX z()du1DcR>m!*zd-i2XNZ-m_seZ`r=Y8zcAc-Aua`kLfd)>$hioNR8$x$fp*pur zaljd#ejJVnh1i;9*Ul?$tgSu3>i%}V%`_Y>M;TUs`z5TVMe-)$YqaVug`DgjoY(D< zgm`tqAjPMG7wxvU-E;<+H%SE*E~3TvMr6w4pMxf0lNO zZzEN>dS-C0jYS1V-|zdqzPYncGi{4lIS4>epScx+>K5M~+U(q|i`p0%pnC)$>Q537 z+RK$Z1|2U(CDC0zsYM{*N2gVphwV#Q3!jX4sgn}?LafW|(tmJMI*pLA7T=$p@N>L9 z5(7ujx9{E2-*cuI@AcKU85e?~FtPq{m9~~#&UUUEPZ*|$xS~ILaE^&|OW8%&6F+-4 zG~bPC`}UBT3f0PEzd)JMMU9<{5`M$QCJJKYY)*S3YH>fBrZWOQeT9H!sY3Q8yfmMP zY}dh#-g&r}ck_+y^+CgX!`3`22Vi1Q34MtaBsT4Sa=XM?Fyd^qHsMukvkIAlu2`e! zqgC&TPy7`a@AyRniF!h4aFvDv3$tBt9&^1`G2RW@H?F9`O}BADi*2gGm>i-Gsnn>x zlBNIJ_j#f56#dLj!k2%)Fj(EusD0d&$K~ufjP5)Glkpz~%}OSY{{5ykt#+jwrmBG5 zoZE=7I6xirQhJp-^WniGJDj>Z?iBtlP54sb=WPUCW*9}v3((D7<{hPS4OhVdkScQN;TcIn4vhg&8Dld*L6yw;EkKb=UV z6(i^8)hyNYCsv!ds_|3huXpBCU1tb8lPZ09oy?kVMFC>zzxmGD+}U4m*SL3Fn@c$# zp8`utfAWh$iCy1ram(Vicqv7p1Y%-Pq)&yVibDCg-YL2#9~jD>8PN7K5di>KUD^{05SQT+r|UvDC8UKdE`WyBX+f zdA4N_C8&y|MJG)jBQkyMfyV!kNtGL{S&-@Lj#uzTrYjVFJy-qQvi{3W=DwGE^G&;# zgJ8j1eB|e5D>YVS#2C6>yiu`~ky!T@C zeC42*D(*2q3vSFba>a|zP6DsPBSNg`uIa*;rO^72*tqQRCeb*_p$iCEbMYsnA?I$}LTw@bb^SceLqdMckga|r<( zaj-0(^S9!~y-2B>?agwjlVCS8zqzW19lrJV^|b*+p#Xiz5Af6no&7dMX_Kdr__)PN^ z(BTOJb2>@ch!si6N{>MfQuM8d(Yt$U1W_geIVQmEpcACM_ylUqvxaX&JDlG?uVFBG z7pDk&wuvXhNSE2$34v`=0yhAtQUjnswEX-;0PMI_=cZ;Z4hDnKX=gX#O3t2%;7+6l zy}-|qQSgTbpvn;8#9K;BCqH^1-bIZ z{Bx7qq@Tecoxc=syBYQO3+ZX2=6ZX3?4WA4c_kUN=kj{{A+s>Th)};|=DSrIJ<+0^ z!_&3F^is_9onzZrE^odK(4!(y`?y4|5$X;cz5uZuSc0EkIRC<7fV@LSz}XeXN)g`8r2{IL|Gp?tZak#OtbB9wnXdk{ci;3 z{7{i#fAB@#KqaYr$8wg+g6Hx{R#q(#0bi~O5T$k&TV>K2N<@TGo4JVo4&Utm5!=4r zDGLG4Hrs`1byXaoz?SCW?)(%XUkvrnnwfw_o_nDsjZUw}gSi>c5~n5i?0sCW8l2@h zuhZsPNr*crh}2p%`V^=Fb}(}cP4nF{L57CBF?qali^4JJJn%$ie zP>_}7c+&64jYStOA;KdqRsZDiB0oyU-7m~uM#7!^nf3Vm?J4iS?{bHYT}8?c#$8KW z3NwW*t|~2Pnx{Mi#q07J8|*tG6f(NKF642r>SoJ;q`y+!*r07{$@-}Ykf}i;lbYjl>ZGLa z3w+uH#adQtZtth2kNyxYi+Cyfm&<>2U(rap#feee%MA6PmHCfqr z4BZSXeQGsrtS`CKX3z9}AwcaDM=~>#dR9ZLO-hRN`t=C?8C*5F8^@+RThGmR;BXAuT~mi|)x26oBraMtBF= z2q?vxO+c1D(8XWRgYP|SP8MC|isq9HEwYil>)8(592MmxY9aMjD(y$l&#>Imao)fy zvzf##WD^dR4MV{yS1{7L_rr&K9;`;ZxP9tao`bGD`HK_}>m6lc(6GyXhpCg<$E(J> zOm~X}LgY$aGU%^)H&gMW*rMRUiH}792Qduk{+g$_#T$FC;r@tLTLGGa42SnjB13xr zo7bzgGKVhL&<@zu&0%UW%mEYphx>8)l@Z>BT5?{m)x*2cbMJFVXfBppvm+Rkt z3Y3GNM7ps&p#9B%%<97}3Q!jy>e_A$so|Pk_n-DAvIMl0&3Hb}U&tj2i+ovasy*&l zv|J0NY{EvT+Dsxg#%%|-!42WzoJ2$~>AfReM6D9OzUOsV^r za9>JZ@pV)ImJhxAJEJuu*A)jjqQ5&XJCgc-OcM9ygANuTriL`igqrv3Y%4a#SKG%+ zH1$n2dEf#~FfD`y!||d|N!@Y0(|FfC{7N3>{O0`WH_fp&N4wPDd;2OTed;uehiDs% zMBgYT(rB|sb;*+ADcY?R zDc8`71k(CM{3$+t!r_L$y{g&*1cX(^ve@o65)(G#CZ6v+ky(5y5Z~3lOQi>@ zdLRJY?=Yp(4e7%F4%=*0`LgSqUz4(t`Ir2cZ5415Bd?5Jp=6Zzx@ex^5A>0TAJx0} zGV;cl7PWEqS@RGBookrmSYE3Tj?~b$Lj`dVN}h84iQR!__OV(lQvS<;Y{`6{kmpaz zA!6xoeGGK`{M3X@xF>%PLtVcuPU1D=j^|0MCF9E>6iCj7poHa`wk=yWbEYwyIHKaK zVI>DXqP$BMh5mh(ar?_c;Om3Kb9(!`4u_1!e;B0}uY&CV-Qc`zcB8!!KmQ%-sOGE@m*UUonMBg;52OU?|F zoGB4$*JdkwW-LcYAjg=y-bt4Ih=-9a=0~Sd+^8MgG{%TnRtQH6;e|g&UhD-3?nK*M zUHG|eAGZr|7)gys5nn5KHWIbmFC>8y@5s^Ig6Py#SY;)02~DoU%44Av+xuIH zZ%4**g=@{Cd8Faw^oNj4L?qgyI)~I-0#^HO7Wa$#+k9S;(O>KBU=2N$CY?Rqt)55- z*C8erOOI=wglz|0UoAvX^W52*9tKkI_R#JBX6%4GN8`>)x<@;D{ju)-o{nduyI}I^ zn*zM|g~YtX3s1?2r)%sHsBnp{&rkkr`xQIsaAEhER2J^nUsn$H zB{@6O4B1=H_P@wLkr_I59rroDI>HACB*e9)r3votBK_CXfz3DPb)H@O{?08eC2OIz z*eNfhVB=&d}cw1Ft_0Zugcy zt+u~QW$Jd$C4KPxK%HsP3W0etzBcobZ78-!H8U@d%ar znww)O%!M;##Gv~Uw(?F;kAfaZCTITD+0_dRI~=y&e|2v#$_V=4G{8gR40XeVoj4Dz zuH9Ac4oc)MP6PTKZZ^pvh_Y(FeGJR4_cf5bt@&Xhx=<}_-(GV%%d_B?g>XWYH?&Cq zJeIATx$brr1roD)OFS*RN)e3vy-r+99}b&&L-B~v)bm5}>NmHW?Liu2!$S^w zyhBn^N60`-A5)|Xl!Fu!J?wCXrnZUs@n14$_;?z|%MluJ-)j=TA9$Wdevt`7hZvPT zx3Ey1qZ~J`x{^qziWw)ADR;lRaSX`}B;7$|{_qZDG3l@OP1DG>tzlY3aHl`XRDJ(Q zv9@Lb9@RC$hW-W&SA%Urbvl`LE6Z7qZtqE}u;D4L^vu}s3+*qK- zOOz!Pu{&}fZ@Q-;f@L-Cg4O1y9(rNYUu=qERqS^REWJ%Xmshfip=N!+~;0xYK* zFY#Gfw-e0~`pPlN%7|}HGNz@Azre!L>vOxUo+&HiJ~V6EdD4z4MN(HqOZ2Tp)|orZ7&vXhB87XQn`#jOlK9S=p37lJqF$)9*+T`^*TM zUVrshB|>?&N8exSV~#<&f$A+faw2+=Ch6_p+~IE2`9r#m9o(uGie#h-F1AvfL;+| zpF}s3M{iF1X{xySosT7?;PH`UwJ(@hnGU-SfEJmhDiRtKdRq2Crbg%b9Nf3K)B*1V zjE~YKp2Hj^dF|Y_e4saH28B~)c-flfJhb#g+ToBM3ycN4x%@P_VgTb<2zCH+A)3t>q;KE%=m@r$N2ZDwv<)BMWH~MGmBd%BjQc zgQB43UAF4-sHJ~eKjf2Z-dWJwTc6X)n%tgveyN5FGHG!ddF@O6G)Pn6ilqA9TI-Tw>$(=Zd{ikg(Upr?=S3j?{F~H?aiX+^4 z4Z8_N0M14twCn0_shwrIx`)LV;o|B3%L93N!i_HSsOZv#h7x!DAU)5yXYXmjaTpVJ)FM+4J_*!?&QMmoG-Hn!V@20QQJ>vM`j6`c zbgkCKM_$4DYC*ZvFBJ|J=-AtJl>G-&H@&>XeIhyAtKL00j;lVoe!+8dWeQB)r*?-= z6J)W;e{-}F5vV-`I5N{e;GBI2cI3rB#jpx%Muw;+VCSdA#o`C6csr6%H@S##QvD&} ztw3GOL(yJZIEQ1i{91?4ecUBwVC-zQvAUfYHsM)Wx;C$_OM%gmn1i$Z+p%>2)7(}l z4Av`X@(x2#r4|`{GfZV8YnnX6Ht@VsZanx)?s++A0NR9JoxbR~bye!*74=4b)(gP=AM&`k%r=z1YBt%BA6B!I) z#w=a>3YcL}G(m1YqW|JqZN6ntjkd;w@u5sfX7vziunY>M@q9#p{oX{-;O1I?bAo?_ z>-3S@1xO?S!~!jEpT#hAn8q*wEi-#?*M{O@m0jy|7}H;wgfH=^LAi}JBs)xp?>DT+ zl5Ihn8>DqfL+!0~hh%IqD7BDf-rLeG z+T{GhUypqN4I8SdyLnYSKeyanc@?rT2UW;Dmy`ADA?Bvb#4Y`Y`x_^@a7yEsIxIcw zEuXuoDo&7`t+w4(oz_xBF zu0&^p?$$$^B-qzK13;&?GJup1T#EoM>Jjj;^$rc$5#8yL7S^s5+p^=osm`gZwHoa2 z?*N{PH{wiy#z$$ddT=_&k`aF9*?xW}@R+muRGt6_$3^UeI+2?9?P-&_xj|HU0*{C`k={&i+3|2WX^r`1x5iCoNMMp+6lP2G z(119cjF)lq*jc3f-$A9aCq)10s^!Oq{26`3ZR2pB9wZ4VU2N_*im>#+c~_Rm<9g@T ziz=Ez5Pko^u8zJsU}))yCW5>kN}U%m$hxrsGl@VD$lAgkw?SmZ771F=6)tL@1pOR3 zlj!nZU>(kb0^ozXSfyhJqd3e~70JSBB*a9g)(GS{q+6zZLzyf8FE5sBSqx<_hW?j=|V{QD!ch&&mhKkD=7)ZjfB~k$s9V1}T zU*pCj~6-L(fM57h$vCVKeW|BlIjiPbh%+e@<0pmg|2 z4q2Qg+CIFyg7;ouA~JNpdEoJC7e;^sUVi>x^LX$3GuE*gpooAB7b@151=fcqZ8@}B zU<}?5V^D#TkjP9rcbL`}XZ`%i41_!ZftpZ(ZKWxw&fuh)qW-*A%mHf6+oLl0c9moDJg>o!QjCnJ45~5%M*F@ zW#?{W3>6qM?l~O{M@}|$boLJ?E-mIg894qJE@ThWk!Ft}1NaZ<5C1cc7y;qme=fDp zrV#M*KNocALA3mP$q50%{O2Ngkn{gu{~vh!5akZy1KB}RU<6Pzn>R?6Q;MY{?Ou@b zHwwzCp#xh^mZ}>_2|9nU)f^ppK$oJZ#Kcgraysm>MsW{|YrMG`f+==%eeM7xw*KT} zbi|lPCI>!|3*iIQEWn6^{geTuP@7@{p&Ou(fP(XmC0~XYAT_C{JrE1HsL6JYzyO%T znQ=Gn?f35tj`R10d|T4^B=x>V(F{fghLEO|PK3&^x$^}2J2l|{l?~;CA!XFs?Q|!# zP4xy|a8-^`NRMe2Y6rTIe1DoT!1uDNho)$v_}d?vJrpKA7c$w$>+7p& z3t|!_jYlud%+1wHCciSAx{Fs-R2+Kr8R z;PV=SP%slr;~l@8#8&CU7D_j6<($BT2+^uoVH)1(-@5X@z7y6T4r#gd0)N&a$D}pV zEEu;s*1q#pZ!#DLjZoq~(Ls#(DR%aiJ+9kp+?*?Ga$4+npQ<32@_!UuV!fPh?R1xks`S-%I8Sbl%`1mL;o zt%m@-=faX)-j?g};Xfnui4**Ww+&-6GcjMzCT{KoB~?_;&&kCex1Jsna~o-HZ*KNZ zO-=bUp%lK(duL|=ntQ#RZs_T#jmcfD;!tk*YF??a69U)etVy~x)D)KQoh_liWcrBlsbHAdz)c@h8lU^;?LPzCVP-d? z-|K{X=P2KCwv5+T>lD6JgUV$E>-2$E1>gGm`s5?a3g6k`4#w8~^J%OE?cAsDbi&R0 zlX~aa!3$603@cWhu^u{}|M#fu1}`oy+`vt?_L|P;`6=El~Kw>htdI?mv^0HJc9~J!(UvVR!d) z0o}(cD{uC(=seurkETo`*Fa1oEENZ0LAj0P`|dwegFKJ%x;|T5?fZIpb3Du|C>Xc2 zw6rr@!)4!c>%z#yG&(;1-OtZYQAueH1Zev^J7wp+fIWzZmz$f*1ONl&hf>9pz(Tn< zrM@YOJ)igBa-DNjh*=%iHdJzTb#?dfIBv({dS_?H3E%_=78i{;4V#mjJkHHbOz3EQ zZXD$m6h=oz90xrG;UCrO>+3)4OqCUac60#&0TCDR5MQ~{X2?Y-o3Ag?%7_BZpm~~C zY;Kyji1lRgU|RqhuZTz@$J^?6pjw8j`NG7mVYm9Di_3amZt6>GYip~jH)nhBq}|z? z4Nw^}wA2w?VLMyR&^MB$&~mB=&c2L{%yi=?r((Ujm^cG>78QxhcOs&q>P1?|6L0O` z_s4Sd6H!5Gr3<+r&6yBHtwMm6wmMa2dK@P^JUF-pu;I4$_J;0mubuYh>NHrtk6Bg8 z-S553jyc_)WO@Of&Z$=$6=&!z3>b^T8LY}(RK zsLy5&)vN!=0z#L%2VzJ_NOhiG$cq%5A92*lPNGK_75Yk9@NVg!}HFT+zq_lK1G}15#s7QAUI3OLvfC57d zFmoP$|F_P2&RXZw`EU+vx!laK_kQAj?zryj`k<~VM?yqR1c5+E6y&8}K_FLxArQRJ zgxA0)W7~A<;J+*Gk_uXc;K!fPA_Dw=!$n@-9ReY~bNLT%91(a9fjopLNWawb&fG!x z_$RHk;QsCnTCn)x-*|L`Y3E@SVe>=$W$q{gu3gw1T!ur>zVfKP;eu9Fv>`*=kRwtH z`EEJ#6@~sUs-%FsNdd%6Qb&Da$h|n;M^Eq8s#y7~9|X3YcUrgY`mn4HqkkO-r1^{G zsDY7ypC_E|B?SMvlo(;ayYkQFYZs>Ae|>f{_6pfQSHa)nA^87XJ$Z3Q;$L50lfx(c z=j!Wkc?jM=SNCXcJp9*}?-~DJf7rmq@nTR=$$Q9anp+}&f>p&YJoGE4iyh~ioM*<1 zl=uSAPgb(enmR622(FWAxw*Nih0n6ZiD62nt4*t89thYW;825B&q^B7@M|R0Oo@FS zzudi0b46T+jW&ONe|s582?_4iGBK$V$DNK~j^>>k0xvMdI8Mr_+Pb<{C`u-ZvJZ)7 z=ipE}*ch4lS@VYC?%kE+pBRj9+u^tpwSbcmYmIW{4t4{^!K$>{>l*_h+K>h^%MYpZla)q84=j+LbJVl*H9 zpy9XAv>=jESIB~c_fP$M5V*fR^yT^alHj(ok`i@E$#+#>_7$0#nfYi}JcQ8WN<3_= zta2MULG9S1rViU*&8~Az&N*O(WaH>6iMg9466ymld@J?qWUcD-KYaL*F6dtT%c;r4 zcZ>OA$67p*iOZ;2T|q$szEeA}`q%q#rUR?(wcrE8VrDw*`jgn^TD_{v%F1|Mm!(zG zc}o%e29-KPnSz=@xU)s*g3m^u#j`Dh*P^z9!UsEhdx{4S%4h4W%d4tXku%k)BO96y z4i#V>l{q!#=BUi>QMLh{~~s_^W1T^ zRt8LPYikP*wz9#Z?@o&m_fU?wDY&sbGAgRU|I}@2db%Hpwp;%3A^nNjJEpCIII;2R zO2g!jA9L&L>s6bo3k#){Qn{1CXe=#@YHMpfx+rve&1-r$4z}Lk5*v+Ylv_PG^%xf1 zu=x>jJE8E>B2jY|gPLRw)@aL40Ek6xyl_}WHcDT6nq@ChYGX+^x% zn-HEE4*VG=fv1+0hE1y0IRTAKrC_CqskkS5;~DvU_E(GDjkr^tzWkNd*3sGC3&ORk z3ZrD#xe!nEo$_%w6qEr+WgAF*t@#A5(?Y=j@f}h zxVpN!wIURil_ymM5QXpF;fo#&J{LmOPk>wI9HkT$BbS$#wTz4^_V?YueOv1p&M8c7 z2gAY!byhJ}!M=*C^0G4afHPDR{NiXH9N~gg)4-Mq)cj|&_uX;y)irN=z&3A}!m`JQvxNEVCLb%j zGB8NzZa*=n74_8`5j(5cZC)XzprEilSRdk=L;S?quDZOa_eI+w{Px;v^*Ay613XZ0 zdb3=<-$3{?Kp5@=AB?x=+*~`dkvQw`Fm(Es;CjDRok9XI5-mf+`TD&ffyJa*hv^?5 z?iv~u)O03fW>ypyG69RTJKjZ5KevirURhyQSm}wI0scW7xF}#ub~9DR+w)D;z?T&k z$i;!a!-$QIEunC5aIjeH2Ur1Z1A{VHP9S{i91a({9MRrF z8~o3AVrD)jjq}Q`Ca*n{7&=jdnwpw~Ne_P?AD@Y*z`X!3Ig!Aul-}5aaH1e5F9CyN zl#6vRD6l?1`3sCh1vcl0J>9Se55p`+@o2qzmEYg5D3~=|d;!b$En_NmUTnXd-2TA< z^!Hc14wRGFnuwrai)~whS!bB-$)BYPIl^Gz=DsS*%d4xXs6;U-f|DJE6JIb7n{^m(|w3k_so)e)THBb8n#%(dvc#axjck z=j_omG2wGO z>Fsqg_0I5HGuu<;841t9A)EW+Qx|rNej)GR3`7O}IxE|=BNTAFd#-V`{0^TQ9p{VF z)2S6m4wfEl{N7kyEvc{9YV|~oe|#jxYtc(qY0_o@9G_$CA6w^(d|9xH28|ABEUKB0 zqq_2eKd=KkcIolPCng%)H-?Mt(}t{kMCcTRc7gHax`&a{mQ{CP4S;)1pf;%&!JQu@ zP-6%${Wp`gmX^(8dw|LYA9k1anMFi9IB~_d1?Yp$YuYi}9G4GjGf{Zu>kBtGH?OxG zNGY}-$`DYydi5&x<-na6tANd&`nMOq5qdL{Et<~nnBE8Gng%p5 z@u3+nXOonaL}|JDAZYOxy_gYjx4xJynB}vyr1L^8%Yk~kDR!{BS$?}MDwfl6bfRTfi76k0u$Y#XrovOyKCtGtbt~vZD#}q{(Z6n3 zcu%Blzn>#AE-n@18o4juYZ(~Kkz0eTWql-vC$X=PqpDdFgoPeQuY$or<(T`=Wz|H{ zNgyCq=x`JSL3&qL(9i$LG=uY=UcLFx)&DUKo%=>T3v%tzO;ZRY_;mr1-gR;c?J%K` z-2Ptq;vtQPb8|F~sAL=W`iN=%2QPU=n`|z!$E{WhhQ{9VKgiL*P@>HKKTL0}-r1peU) z8QHf?RTw4bC)UWdQ-91rREO60Q@Lb2$IQo{ zO{1o<3Nz_}Me$N{;k;rHiQ^|%Z$`W(rW{P{S<%wbDIOmmPfAW^i-SF41J%gr{qpG` zh8S^%sD`y1!Yx=@z4=P{qevnM*<+^QV8S&QtzIV{b!Fv&xBeiK*Ul5Kx@d(weg=V% zeek56typ!yF-8nPnR>?{5d0W0;5<@Vp~o3R+g>?CR@#Aqfgc$`RTIzIP0mx@v*DG~ zH8AN0iSW35^yNyZ!Up!lU=u}|nVApez-Sm|E7(%YZ5mpqJgs94-{0*CeaHZjcnC@( z1}#O!vS-ih);ybbNPLh`Y|h5`XP&W!Zx?>3xvK9 zf=GC2T+ZId$G!gbHxUZT#wvVJIgaXYsI}|CbX6zD)fUy;U^*K&g{9t9=a6lG2F0ZW zK4HXb{tOlOjRofL0?E_U)Be6bv(;M=$Y#pwD!FmMSWF%%0fg)|Q!s=;UO{1MbBrnQ zp96xex%U5GHTN8ZHd9cg{qrL+@&QA2pjhYl6`~rdf3q^9Ao6wf7?_iI$MMeR$KcF56x`Ww{jG3sAus{iSv(r6oH86FuKB}slClKULg_}5nc*W6n@sygEe2F2_@a>$JiWJpPkDER?DdnD7J^j|`1!88 zkTJ0A8*b9TXD8@a>X1x9PQSG4oF#ba^SOTCdK5tfP6|^nr(Yp`4lw zfe+Fm00lsn=Z2-%WAyX7ZQ?R!1#Y>v!JO&MBikl*5HA?6XoH0SuBzZF@p|d!&rpgd zm-AOtRGiLnJ}qdUJ1J^(#>u9Y2Jo$frPb=4tC0{uLg?>E1mn#*@DFAArP9O_t!->@ zu(F27i-W{uo<-$_R3b~}?QQTNV{k^Fd`?QzilI|k2A&iG$)~md4~T>@7?S%Q+z#p! zbuiaYufSixEpgune3#x^vU^UK#&N06WC`Xb{!OWCob(En*lD9cH1R?y2rkKa!<_ok(_FZ@{PZsCdZthH#`<6i9L3= z5~aXR?*YgY@>Di6BpghB7fVWU|*F5G- z|KpKSZC2BQ8wF~lP#cXdP+yj+>6SecFf7J7JWo?D8|<5YH?lAzcz5JupM}saA0(Fp z*os-iZB_(T$!c1s#-rA@T$z2j1Tao5J-vtF1@BgAAP;u}S~niF`JXU%sVJzI`6?uA zuZ_Q(IzUS-;xuJ*qRHg$wF8`LoyVk5jdU-i6Zs1FQ`(r%EOI!>(e5-%ph=Kl0|SbEIoq#!gb$Q9KiEa(%!&s~a4F89VNv zn)?mOy<38REhMe`HtW-;TnBakoPh_jnYoTbiPpBZw*CG6Nj)o*owvk)6(QHwNk2|( z?YE9>c>vS{CcK0XAtNWv>D=>7oGo;t4~S}{VdESPZ;&erX{MY<){P(T7xTb9hQ7TI zw+q2lg~~SjQwv$xq*f6_P>;Z_rNu_ScpKEClnw08i_Iq`A)#z=(4hsfOF55lY68J0 z4SN+5L8zd(--_5cU~7p9_$a1#(PDS)5Z&tBQKzU1tDBhNO;d)i4IU(AnvR{GW(%0L(Ai1Rig*b6d3?3gD8iIbd4ISTr~4mz7O`zYe^Gm9e2UM*v!m+8BaU)x2Ra#?;D3$Et#aCl)iOu>>5 z-rQY&T30>Ml347)Y6N+~Jq`A0u;w=FFlAPx4Ylj|)YZ(mRFMO35o6Wt|9-|;*|P~C zUtg$F3#u-1v?vd>>y@Q{gC@+E7rs}3V}Bs0c*=uHI+3mb)heH^P5~)p;SE@y!|qSN zKL^Fi6S;C?quBTlT#aX6OtR)U$~$NNTKDFD!=PfCpr`(jO-?ZRd;gO&U_?5h>sFXY z@Z;-&cd`6t4Uzbf{?xLVTjUMA(P5q`W2#ugI_5*h*o;CX||udvqGhi`0k7fO~nl-tclN)7Qr@eJxE1{ zWWMZ2<;?H$u|!js&xFTJX6$va`e}!D$ED|%!c-$8SMNjKT$+wx&d7spvUmBecpK}W zj5NdB`2Ia?+nQG4T|=^n{k@mc0Ldk5W9OhXXkM0CYrQqFTxX-TeFMJzz1$K&Fyexe zTnm5Fw%x}K9II*Oba?{5Xmy;w>?wW?+_EuWV!|GT;lYiE4{t)f*tM9p<Z%kTSFj+Nm5me&(aLz_CE|o z%yf5VNRnx|oX<=WCx59fnL3JgMq!q&DsSPF8GpJw?GkFCL?KlvmU|U8m4VZm?Ck9I zj`NLlK~9k1Kh|Qyev2z8B-_;^e6F*7M&=&Y&4fB@c7Fawxn1|~AD1vW`%#C7x&sXp zuUPBUs4JNePcMW3EOp!~8dC=FG@S1R6vfRQKfgA0^7aCXIPTynp9<=rkU070%)6u$ zQS3BCJ`(BR--e7fF5Qqi)V`qX`q8+9ouMlkufJP-jf*sA z1lGanD@pHjG{DDTyxo~u77 z#nTUhf+n*IIn%gECbs!e+|wBGbA_PRJ>8e4^8S160lv5i?Z~)>tuv|-fT6rn-@7Hv ze(5*_`6>Em&8hVs7fW8v=k(M49PEC~E7lYp9bN4B&D&{_A|@)0K%yD*Z4g<%GP_u2 zA=%*2w#=l^aJ`&2&!e6t(@Sx5*&Dichil|wEYD_~g z094a8_74yTQB?M7<|%_IZvr&yriv@G$=e!sM2!Q-x?X$VY$zIlstkQ z&B(#&3z+y9bEmn!R5u6U7>L7Wk9nM9IVm%Uh*9iZT-s)N#*|T9C7OBpP_BG=D%BA# zYO3eggIz2e4A5s8^pnTs);6QX$|Q(iYT~LL8eT@HiMic>XXC3aRUM6!%dI@$rF03s2K-%Iq8{O?1u0+m4R>;43K)-rXZ1^SK8c zKuuVw`WwmpaJLtgG9j_VsT0{Sj|}a;9N!x7>4c zFj4k8S8Td((;|u`QGd#Dhrs0~Ko$cvQbeDH4!9GiUOwQ9(R0`0Wv`URpCA|EwehRu z7WA`<$d~l1YCn9HWmlEZR9t48(Nrcm;j8cQP2U=LFKmi`= zNEF@>G3paDQdv^+*kXjs=#BU^JlgxsKAz3n&5iWxc z7$_HP-2XTt8jX3rG$^0#P}FvP;_v;H5E*F5YINFTJh<*5$5E8+338Wn^ zbf6t)HJJ6xJ^uDtZzk2ONYd)alcy$a!r}%e#!LjCF&`!~p@h{dp|`O5Y74jr#VEYn zVF1^RponCXU2*^!=Dv3(mtu7*f+T0`SBqEZ6HrStNa_2eIR))k&+##7uGfdzr3`d< z8w%`TWSfTDS$>RNU3~7$=_HTkHQea2XtdE)PG2x+R8BSZ&>$=z7}W=h{?MFH&AYIu zh>e3olTJ{jm|7ld+TcCa2_Q5;<47j@&KDbD@QLY>vL1 zO^51a{3}nirUn5F_4Abmlcs@HIf{><7Tw*$!FRlkG(^oG4)KfrndT5mLddN*zu@|H z($XDR`zmhuG%X=v&Q!0lzCsHp8kF5Q>#&bjP4t=dqdwT3#~j3MlC|rV3N=R?ZfA7rMjix60aVp9z;021k)WraRsQ~Q!Wh^0R7OvQH%s=X5 zbVjZOh>13@^3l>|GP)ZXbvBxm&Sg&M-r_#j4d3;_bzn;?1D>xTvse`Ni(&RkvZe^! zpm^)(yRYfI{-3{~8$i5ekMtOu?0XbJDB%V2WwLm9!k^7u-cpxrtK|PBtt{|$b$~#G z>@3{U7g4U^aofuiu!gzz<;1uKo;LJj`o!4^5=)tVZ;_rhQw@!H{^`m3bSnTD*4Mxd z05+c$A@--LW#^fSiknhw*b9);oA;yO=7*3h-t`|JyRYRQe8LYak!*Op@*?GrOQU=* z4bRdT!uHjY*bqDL(*RzAfn;UNmTshm{WT=`s~;|^sbT34(bOj;a-_=i=OhKVIff)~ zM){@1C-1KmmVkFb+}SdrH@cw83G?( zMfMX}N`$xyW%-^gg(v6a@I-Yn#Pt+pX3|`yZyNes{f~vtj5yfYJr)Cw*%%9;up-cp z=)hgY zd6eZ{ujP!}J??4KRZ)ol!$){-?+2&NdNudn|;DShr>sur6U^?uvTnk`$qkaV$X5pnCgc0T-%ut$%7R85`M1`*X%kKuR*L?6qjQIhcJiI zMxoUvYECF^c_r33uS9xL+}1o?EUxZsZ4zf}^7pDp})#7KBFBo!LMao} z2)YKzHw2yk@om}Ojd_IKH|vq%c4~J-GntH)vf3AP{=&dwRVN!I^K>(x2^%IzcdbNHnF`LsnW42lTsgzc& zb|IM=wN~NDJTzg`d?hSJq*^65pe$96z=~sOGj9skVH< z<`nf&m)Ax{0^s=G-IYx;iv9g{&}=XLJX!_%M--HEmNh?bwmL;kY)!7jiI;`b`Kmj& zpGMO8ZoU-7o)owVWr1<5PrUn2Jp84(*4R%g*(tnWaI6fEFE(9Opg1iB`{D6>XCxTZ zEo|u{0=W>Odb+>m*4W&px&!D*;T4LUqzaM(W6Th%nr+X*Gmz%e@ov|cM)xA+D2oc$O=LrkK z%~Ihj%8FG7o0H88a2)*0=LZ^^>c))BjaXy5T0M`SX1~gmb%$Ok1^HdvZCQ@fMrpT6 zO{mcp7Zw&as$Cg1V+tnIhPUo2F%fFNV)!`mj=|DEn^!F~pPCvX9XEB>*vs1+)HO*k zoIuy+<*S@|9y`V6YV+f3qOgA!40n;9T`I~zGL)kKs-ZBh%>;2a_{Mi1c6{~m+*f(W zg6frn)1*7H7r7F`UUTHktljp1`_-WJ6|#Ld__N%PKEOTJqt(N&-Me;)fJ!DO5w6zf z%9lQ&7y@;MqZTbhy3V^!MXXwl#U06KuskSww(-M9kg*|mKUlf%hRQrx16j&R`?=)H z!K|G%DoGi%(>zZbnoIgUk>cDwtx%wPQ*RIf?fdZov)!q-x|=m^?)QC+5xySwK=Q8E z$4t-uJ|R?6Eb9@(gA~*}*Y1`T{;08i3BV#@VXhL_E1CzTGOs!bSz6o7u4pzBYGp9$ zcb34PYK-YXB6L#KTJ@$KyDA&~vYcX+=q3w}+fNh9p_O&jzCnf$y%btF&xoM=!-^MM z>4LN-khwLtzTK+h){(5VDw0JfVvAk`KXiEu?z8#?&HjR^dV)>OvGN%a>6Z1x@MJC? z0RSR{3A+iw!ps@u6am6c4~OLya|88UxhH&8jJ#&w@1doKg?|-G@|g;-F?Qly0zm#z zpymsAy62IdjljG$dV}e;;4eKNK#a$;w+ZAb=ZK;gg#>ML1B1>+@B^KJX}4CvHJYX; zZO(?BlMw=%7iZ|bNxn;@)Tyzodl9YF&u8`h2dOFY_mclm&@mUP!O0l@R0 zJwMw5G$v|(5BS$Pvv@uq_ z1SWZEC}0b?3UDmu%Vz_DQrLZzbqizue-7fvm_%1qo>t4Z|Y7R5~={`9#G zwB6)ee9?=j#YXBjnk}$n9vgeO{D7zTYk%gYvWY2w^)c&mq z0^PkQ4>N{XK&=M)xTwVr(@S=TY%I-b&a*XrP;6W#QGPpEFmLh_TkS=zk?i>Rv4XW( zDN%}kQ$fu3ww+XJ!F9+LwYO~&dy|0$lTj?a;~b@zc=Di5)HJ$mJj^jel6>he!gURr zZcJZ2DJr*GT9U-KSfzO@X)A69v9M$>aYrE zZJtC#;}JgOo%7#~y*|;}IHo>}h7<7;)3WKEpEN&8goYjXku&0$ng#fpi73B$8Ktp* z!TO?4&ND!s_``RkC3vn16X@wdBEK`fy(z%yFu;@2H;EbPf+umdwK&KSGT@IIcT>X% zCB|!@9sq%wZ1r;P=+Wa$`OKxcfFRNw)5#W{n> z=XO14462B>txR>MD?Mq7KS?0>$_$9_N1<_*(Uqsg^d+E^lhu<_YwR!bsGAi;lQ=tWf%`+WxtwX01MWlNR^oVDs;5(%rN zRhoNH8F)~4+)ZQe-`o1BHesx?PvxSR`8XM}T$&{WZVJ6Dkj)%rJgz7&pTLP=Zw+BP zu0u~3>1X&l&crVc8gzYEO%|a86scuRD<9KmZthQO+hhLRjG=kT@c1c&kh3fpD#2SB z$St!NxtH*C{+Axbc5l2t1v!ldV5I>>>TVMI>!pW3wZEPt>URWBtmu!Mo8k+owC4m0bpGeL^%)2-qS_NbPi#6aw*Y5iOZLt@b^d0m+zf|pZQz$8#64$-9X(kw6A_&kL) zNsE2hZY*i66MCjHQ`X#E*0V>e8hvu`E8E7t?vl0e2yYT^?64~}e=pqlnPnK1=SQBU&{g{>o5NNCgVQj9dW z*qoXOQ2pn;iiWyp5*-)XoU8Xu^q9PSt;z!gyW|eXac7l_GNpdhBZ5NGh8Z!J9o8rb zf@?FMV^urJbFmlmfNhFrjm9e)fzBE&pIfhb8Vxqer?C4IITaPv zY6L`D=#B)045GCRn)`1(`cG~MeM34lAdqg`(ReM-GEOx~B{u$4UkeUKs!~+E)*U4x zXLrSej6Mg>J0$?~7JJ-vis_6Zt`FD{pcR{0`MX)5owJ2HPAxAkE=H`BmzQg6Q-~q6 z&v#QqV%VFMie&bMkQ9E05yK75(Bn8KLZ}Udf$TEqZU9$4n)kkch<0>EA!1kS+xAY& zHwRt0wY8zKcUKRz^nSugAdq`6mo!?lalcj8TG^8vVy7y`5_#8F6+}J7L7)+)#}!Ol zboVEvJnk!K68DjraipyhOvU|f-Uw{=O~(G+a-;2)PjS!@#r|M7e(DkJ)Us2i)8n+* zAQjivBt2hFyPvL1eLuCta3m{lLX~<^iVOK^r-D-yx)^}5>S>w__#Mm=+bWrsR!J3l zEjace-j#b=j};Sm^q#2E#np95_Bwe<(V(=yZEv>ZaW*W_WmM+P=^iK=EhS{)LvmZ& z5v`gX2B-CkYJ(s9$QkqMG$;1Y$U8Dpk?)t)GB4cd?8P6%u-(`-(?l z+)Ck?D@aKVyuV+zLd$Pu-(%k)Ojo+pRPOE>gzu89*3C~({7 z_LqWUM;_TdFwk-10qOpgoWLk)*05iQfq9*z4%c>v7Bmj z?6dIUdqQPH2X2XeeH;6WO}()yHh*z!I=BF0g>B0ylwR)8m!pN&xvcCl^TH%13TyO) zyVBy;AsX^f{nERWM<%QyO5aV5x%=gV)CLZ^%k@vvl&NWFX7<`wX_?`NJNHH177eY9 z^L{xK8!)~7f>zDaSiWo$Hu@~wvI;ETa=U41@p-J(xKgXsA2x?? ziDHEHN)1H=(7l@Z4p zah}B1KbOO!25tD#(9r+FMbAAfcI?MrRxhD-@2DfvNsz¥4*vFsJ*XK%RoYJ^I_?5Dbu^6H_7!z(m;ppBsav8y?TjBOuyfWUv;6{T zYoY`n{Pjc7&C$@}w}t7KNKd#w-#(sPbF-a-k1#1{s%A`^^OkA={B&!yZoovhy-rer zC4*b|)FFm;_M`fZ8UC5c$zGIa!`ay{lqa&2M=WuEW!guxn2o>jV#^de_r)3~hS*=0 zoU#tIZY$hozc>%M4fpS^P;GjY8G>}*Rrq%z4V%q9lX~ty5Bd{UNwh!1J*$s~NjzF( zW7ypqH=BSQ&;CS- z9v6m$gdE*^)p@u_JR$^}KYk!&^Vuom$;*)ng_{DZmuEKHSC;5`R_BE8*!9=SS3kY40YGL4x-%o->}66~0mmnk!8D)cmT+ zIu1cn?>$MzdY1~MsOcs5()FqArzfAI=k_h#;Ku2ED{|DIgda|t;YGNC_t=PP^NZY} zbtW>hj(wW19-D#>kxf;FxXnSB})cs_{R?m9Mcu6viv6aZf*4v5!abziQzt)RJMTAY*23# zFG8nQA|(|OT1Mlm<^mAh^S^RvaGbV>1Wd=ksVeEA4?1iPisn^)8+EGMH}>h%JwUb? zSSoq3`_$9#W%ykc$ZOt1p3#(nVw1|UsY=r)+LfMLwWYeD5A&-|JucWU_KpPVZR-_| z?rPR={CFYy22tGc<=i4;!@vF5KJD2n14n_hAq+fUJ>jr#8tt}GcqSTTYOMeI-F1jZ z`lCC5MX3U~(ssUvu1ld*?1F;&)$N!vBW_%QIGO1G20&tPdb?N^JubLFe%TB=KR+i` zNtBv_dj6mc{__%t@7OoI1AEZD@MvJ8j~$_2G)|&j>z`c#KFQk|49p{~?xb`KG#!4_ zX5jD~_5=B5MvRt=ecvxuznH(8>W$sWM821Q!WT5wRJ|+X{8(`GsY$gihZshk*fhx4 zvsD!E)*_yS=@D!KO8vC(-j@Qv`vx)-)dY`O%T(L0NQ${OKd*=asgnCA0O(%;)V8Y8gqb5byo2_T>MpIdEi zh~s<+8Kqv>>izao{sA2=jODUIjr=YC%E$6OnpcH8^K;c5veQk|Tt@1kR9R}U;(9q< zdt%NiZQ}{&O}4)_Yv5Wf&nS}Uh1<(?-n3UuX6fSO6F^Q1^J6j1KddHRy%coj;@flS6L(L^@5`N^s)L)~8fy6o>7&Ug=&z!WiCh3nq$!D-oal?ho%Q=n(|3xj7UZtm(U@8cDD{uWQ zjhDYFr~MFa`K*aXbll6jp?J|PFk@rE9aWiL>sqN3SSPDmt$X*G+PI~=H5R65(m7dO zrJHh}Fg2}C zT{OyfCY_^r^VGJ#StH$bp(UCd|K^WB00bk9jTv`s)T?M=Eby31$DesZQi^Tv$+Z`H zW?nA5ww`8k4MG^=$K9$g?uS*I3zDqhY`e1x^-0=?*6hBx=-26b)Q*h40o#hc(WAD> z#Kg2Iw-}WvQ`4zm)A^`w3b*Gi_kibya6xggte4myR@x`l{WN!Z6fkzPR+R|2F>cRV zeCr5}7jj)n8IK_Ur59D*ZZCPWd^QV}D*U;5Ipe2)-ak2Mg4y`Bh|K=km+teqDNtQR zo#*^Fo=Vmew#mFDVO1I-=>_)i#ei9b4~TZGI8|HO`==Kcv4SZUwLf5+2T~0fx1l*F zQ+f&SCzFJ^K(5pVGzjcGJToK$zjC{xsE|Mc2Wr^1Ir001?y~ob?vhNTT)ti~C`bEq zaVp-6FznUnK?i>OX?-d?of3kre7=ln`_pyw{)vA&uSH04j!)ww7-!aV%QDK!b9LbW zg=cB8ZJkXz*TRAcP*>*0v!Kbb$NK2Q!)K7nu@1=h3HqD>MdxYCfsA-=1z+pqYi&(t z4RqK(AW=H!aX}aZ!G^&;mI!DBjD4|JUm{IEDYJ;W?IAD|6C-vL@dahaiUhCjdaRu$ zLXTGaP}#WI?J3L(lD;=>Qddz~Bdt)kgKJ_*j&1^nJ%^zXq7NM*WWHgFkg3T@8&G5U z;x3Ls&(Wiw4Q7Kf2;;HJb2eAtLi1|K)Y85 zz_SN&!fl*#822URD|T!GvxpQVP<8mvoaJ2XmPDvsNk@@WFE0GE9A^? zqrcBbK|3vVubpQ{Ed&^jR2#zf2OWU6k~mH*KZ8YelWURw!IY?X$kVwS@cWeo4F>8!e-e9-Yx52uXRaWLU= z&Y9Ls8FZ~N2w2T^BK&jFjZBne3Qw0c03P3gIyWhvEZD?4|QGL_@h`w7kwCF4GdVP_+DI<(A zC%I$GQbwkW8dQ9gK}likTUYOqTo8NAC=F0IZXn`8LJhmzxD(@eKTE7={bX;S1V`Mm^IK?ie@#`Wy8W2jj;_N(p7Zxcjzo8|`x_(vu6O(voI9ViP~( z)~EqXz6?GmiN^h^7FnHgT;TBEX!=h@x1vNUi@l3xXs4JboD-QY)s@}$)hSFDOEoZ$ z(Gl~x^=5J|(*})1R#hF)OiroNV~gu4k196J1x*(2deA<-&yIHpJcm6{nF2@~>Pfd5 zAx|%QNB%9%jj1o}Df1{D(CmJtsR{H-6QyN(v}3atnhz8BMbY{Vx-TnSeP#qC5MqVx?Ci8|8y0wXHO^59bLt}-t7Foyr~@Jj$PF3i#Mupt55w4f z4UH-0Fmd9WeXW5Ub+f;QDPmhzGl}bW;-Q#+rWR7#_@+iP{{gZ%eV^kC)30wvR8-@u z;X1{8OhEvU!?4nDbhf`ac4|BSrbwYZQ|gteQa6%WeB(`zCnm6qnHke(imUp*(DJMc z9nTbyVOr!EbdpGSHdHN))>jxGal*#Op8quq(4^&XH|Oy|a2M&&j~UPSk2p(~PH&~G zb~tNjZcHPU7N!O`rc35h*!l`}#ZRKzgN|Mpdrj>O^HWHW>F;*nuxC=V(z!beZH9iw zyTGE7BO@bQ-cv^ZI~TyBY2LDF9tdlvDv{HZF9^uZEaa7=W9ImQoKdOOGoaw)Hs||0w$)QB8~`uBQ|<9Dtbc(y!CSDFONN=nw9j?sTFUY0=|f9a`!x z(m;O+e8nrXB@G}b4Zu^8{?XkHBz=zi-bP$Pa)3|Y*VpE;o@T9N=be4o#n7qpSG#;E zkfurlE&Rj@C}=T5fpTITK#c-qfS2NE^EYuF3!UH_`;~4IpvqbE5YpCIQg?IX0m#?i z2ZrEJfDZa@hx0-#jbJ`d1ha8*aXlP)`b*}Z!*q=4X$_iwT=WB0<`_sd>WhmXrFHnP z5V66~dvHwWRC;nicJ1@C(-z59+dV5<#R2e#+R*k*Cj=V@7&_-va%IM3*Z3@hs zO8~|%#si%S->YnDU=-6n`lN@_jTZaWtk9O(AY`^Vs*2d7CpMjw)wGLBIAW=j@k~ux zE1mxQ?R|sY5Ot+Noov9kZ<8>l8z^DdXRYmQB4yfsQ3x>#Xm_++SdrZ49o_p2q>~fV zjM|m5H-UVGM73nf?*ZumMGjZuEJNZfXA_@{p%?x5=XTfrt;G&aN7PLakhZtkyME{y z`tyr&rQ=AVD8KC*hD7GcLYSF&Z{mppxnLA(rTgj;6(pMDlVC+6-cO{?f2@~xw)q~syTNiH*<$|$b=V4 z@_^`_1Po7p5R1^p^{tT%3xx8c9JnU0*3L`saM`^TgBl}K%?>lE*?GMVf zY=B*qaHk&I8)!WJ!T!P@yI9{I1UG-)E#T-*K~Y|oFUdneKb~glJQi|SjYwjWBq34r zuy@D@)05%6iCi{6^&c-0+rq5HIcr$?O40vLyCwDtnv?Qj33GU}?ejK=vB$0ts{J)^ zw<-!Th%Q`C+ZkzezUm?bJJ{&JAE3#fMJIXv_Dgua$IH)D>Z*)Hk#zkRoLMT%bLGuQIdE4EOYe_jFj;EQYajXU4J;t{0#U!>H|qrCUt<9?@#vYJ)Y zGBRkzej{l8{q}74$c7=JcjiWtR)N3I`*P9K<{ubEvs1A4@)et-O~x+THf#cbMoVBI#&rfwVG;)fy>>F zv!;L(l>!@eg)5N$pZ7i;41b?)xvPVk-5S3XrYNa?L&k|*(;&y2WY#i&)2Xhfhu78) z=~2;nAsi)Q`Q(W1goFSi$a2O>NxXnrUHl1Up{HOWPGFF9S;^(d`=ZQXeVo^+?)e}Z zBd3>t=W}U2@mI;2!0L_5Ip|NHZ!K57p6S>~&m-T8I9`<^j8X zChk!~CFPgI4>^IAVMg(UGGywOc+*boAzkM;=(5qQO*DzU^k6ABfz;L$elaH3qV*n5Lwk7?CT}= z-K?9v8JfTJMA1v@_X{Q8t{)*weXKcdm=ny%7_GJtO`$3_Y=&x5hbR=Y6j4MvuyT#XxD!N)A7vZB?)(+e67CC|FpgJR@u-i%j3@1cR4{);yzps{CulrVUBE# z`S^N_cWH|cdbR8v#NCMM3&zSK>8H+{Sh8(Bm;xg>dA&M{qM~* zAX+qNy(jYIf?rxzwoxdyzn^I5SH|_0e6#XGqx;dQR<$MUoI%M{s&h4KzEEH?1iq2& zH;ijSIQ1-bhMU#31m2h5cjj{J_$yac5z;?2B)BN%S_-JUo9JtCP16nh-_}HG%tF7p zkOF}W>0Yv8k*vD<8%LAf(yuKqwkU4jp5ENJclT~MvyzyrPcrHC(nRrP^wpL~RjRnZ z@EfnfAEj;Gb^iWVruvOx;r(U$%GZ(S48JI|Be8Aii?7nCVFa;Mkm2=(pF3pbWv()A zy1JnVPN6JP+i!|AuC>)!Lm^^qH0ANJSt4&m*Q|Q;safQ9%nUL)hB|{s6?aN2Ldgt{ z{WNv#B(57?9cC&NjQM8criLCWvRZKG;NS7b>&{KOHqXcB)7xJqT?FU2lD8XY8n(hf zin~zZ^j|BLt-hY&cKFj(D}z^EICfLorwIS_v}JR$^z@)00zb`^IhcEh^Va=mSLg#z z9$hNsi)UhDNbDyL0&b7A?Bax>`+I5Psb`rvff(GAAgurD+S*I*)K06qM}mU)f#ls$ z<6W+42i?iO(uRN{z|c0Qxe#ym{zr9h9aKlxy$c>JSRfqS<&XdYf+aXX4^9XW+$}(G zcMAkKxFk3P3&AY}cL)}OySrO(2n6oteZSwmGjng%Oij)GW4bEUo#J%&?%liBUh7%U zewNeUtFEr#EWHL*RW&vK$5Jy@@-F1BJv{is!X6?bU5Yo93qJ9AUvfALP!VEvUR_uY zr1850&4ctVL&p~Dq3;h_?g$1L zH{I5(J-SiFZ-QJ-Vg!D`nE8lPqkl-a9xYjliDo@RTJ*Vlxgqo-N3DBjR1ilj%r5<4 zG~Y(%^&z51<|2dF?{hEBB`^fPlAmwh=@3d15)%Wdis~zu-OXUsus`}6qU}zu08TLz zR27d;Oob$A+dn2VHg;AlQYtL6ij6%&NH1K=54z2Kf0$R|JNor4UnC<7OVKd4Y`P-) z$KDU+|PbATU&#rMXzu(=pl_qU44p0&I4(^ZJ`7n zC8Z;nIFZfPF7Z+X>l1^iB7N`MMoGRjHd{1^{{4KMmcILO0^MhXP4(vchL7jL*KPM( zKlvD{><=%69##|NLDf|Q8qje&i**jfWo2E$4Jx_Wgf|tRrpI0lv9fAa;cpfeL3452 z_54!ae_Aum+ax6-$MiaT*YhGOUcnW@a%Pr)VYXbcO;U)rYV3btiT!P_`T>h`FS9&{ zt7(f_OJX*Y@oZE&pW_PQ%oE0y`dIpumkRtmJP&7NsPvO~(Ony;vYEu$5?6ak7K0TI zYUAP*N?Y6LuS#w`V)`V8>Y5&OpZs{h8J118oends=$XH*?8-2|BVp=gYmtN4EHu`& z-C4aLpK~{npCF*k1}Zps4km2rMXGvwfm51P3%=JcdxMc{zKxc7=YU<@ObD#7b0L_Sg>C!nit1-7u3TbQc}{_vH!Ho2l;(s`<<%Qzq!+exd_Ow5S#y5% z^?hU_hZRmv)X5#_DmK<(mi9g20g+FpdQp~&n&9KtGoA+rr1^V4=@tj<|DCk)Jjz%+ zFWQKjQbj~CAc~tCOO-BGF$Qmf?1S(L{yb{^U6i6vK0j{CMRqIj7x!249h)V-fEbiK znB0e2A;=T{^#TR*X*>n6Ny$~|zzYz%*rG4jF3B$`k(7~<2~QCB+yDF8UP|VJ!kY`q zWPyj~(BMhoOG50sBj=()^UGHKsgq9Io^hNqr@gO^5!PKJCy4}PWT97g-VZ_^(R3YZ zO>fQbdOGj#coXA8xd+(s@3mj>B%v(o#jQZ)V!*Cuc3-o~l8D-44T_mVpY8dqgyFb) z{l{}IGo$5pG(L}GCg9d6X={f8H2F(j-W}9#wfEzMs!E-4=C{hVzV34yo!@ykLcfw6E4x>>6DEkt27Muq8voK+uF0WF?&6KF z{ye!}6%VAa5z}BI#BkxkxaRuV*B7IvghbcwpjK*<>zXF)gS9{FW^sBY9YxhGvT^6X zHyQ-2($=t8$n?cLPNY=eZYf#lUoGj1D^a=+OZCa2=Q~cd)n&Mo5u_8@d=#T4I=s%i z6a7!hBnc5WFeK;WHCdp3^Z>+fI6uF?0%$Bhig#`s|=mzZF zZ7WU?fBj*HB>poVRCGZt<{en_?qnt_CzNEePqRw8I^Xh6h)g$Lzf43HOeFK)RDzPvx?+se;so|k3xO5WbSYIcOat{TnYIW_9*AKU#|OF z!ZsU!mw8chXVw~D51VBq{+grdldh$cLk+{OPdaJBuklcOD9GaJXKa+1h5W3(dyg}- z&Q?=A$*K@_X8fT_vNFIj;xIW@fa8175GJ10n)Lo<`Cj64ya4u_+nQ8n&Tr<|ed?m? z>Ccf7u2XD}u*4>gC>5MNzQflnZ78}A-ZtMH%jb_7l=DA`FtWGBrNLQfj2jE31|l&Dlg>N(7{rl zy@{X65fNH3eQHCyI80BUzSp<&*DbBLu2Oc2Gl!3PH#XB+QY#Z4wG_{nZ;`7{P0>qK zaNRKhs-do9+9LK@%u_1A!CqBnND&ns4#G9kshG<>16jM*Qq{DXT^7o}l7 z3Lu52hl?~oMK3{s6;`IIe{f4&RIPgS{jCyUG(Fkq_aYP%ll$@G$5J=VWSd##a=gZZ zED_8RN%cc0(^z1^zx-}?xmy=&yR4LDMy@S~%k9|u?FYi}p`)m<>CI!*clZ2L9 zVq3Sqq22;%ZS;uF)~P9#k(UotFOt;OCa-ti4)8dkwi)+umymp=SEL?o_9TVv@gVu_ z^=6dVIQ+f;BniBqfSf$cFuZ?TSW@lT%J-<=s0q@EI+h<{av}TK704Zec?Rco=`%Im zA&-P3piiFEX4jGu?8Af`_t_Ncd=+vAr|X>r&qddjT)xO128Aqo=eaN-~$ z-N#YzF(p9CoY#Lck^qPQ{gpm4V%)Rt2tpe;9L~+3!34%Pc(Hjl=3-($)vE%pj3r-5 zb+H1n!uNca2t?ZI8JhCRhmeq*XfEVzCV{}^(UbRp%x!*i34mSH#f58H*qaTu|%k+NdjME#~dyI_PdZI+lk;UdDN>9xI* zg$xC~OKaB1o{zfZcvYl7nvN>gT6wauv`X^T$UB-=p$_&iqw$!@Hu=}K2)tSR7Ubt& zGP>ZE#(nzq;q=rQgt$36HMSTyIGyE29khuxC5%<|^+$V+B3PK1EBxq?5+2Hy+jlFB zrKXN5FXsU8p*S9VZ?=X+LytRuc++O#hMt-EXF3}S3kEV=Ik;4h{cf^N9u2L)VM{4t zc9BIRu5X?6xfx--%WmM8FRrA5uE@bS6w@1ikDByoZ&}fI_`UGU*k{<3TJqkz4{USp z|K9DQQ7%r9z))$|Hxd8IiE=Bv&Gw@{A6W(uHG-T2V?NWru+{$s%WtKYB8S5-1$b;9 ze_a`$VR?T_j854i?FkqYm0=1K7q8gND@hV?b`M-UBDwasV56+SR5X}XH5F|^r5X`% zu|4u|mXT@gD$y~*vQ1KoV(#xSIBY;CkGy#D9+D|>ZF;&jgQIb}y?*N1M}xLA=tP@d znOFAg%ZkQxe`_8J*Zr9wpg9;pBSO77kS>uz;bk7`tp`SmsTo^<{$VXvQqgy_;8!|k z2d9UAPke72sJ?4=w~PU$zvVENQVa0itTZ{ImmW)wx!&7GVLe?+;nZs(b-QVQlVI=1 zl8;Sxavn)+n_4*O;81bkNuWQpK3|N4f4O%WMS;oBN%(#7wy@STETxsP`- z;7{B+SHtu}H5={+r`wa?TJK`gK7H6cNDGKoFKw%clfwu=lnz7PExOVXp{}|%;fVYa z;I7_l4T8~~nVAXUN`44Z9hw!!XkQhQVJ;SM{Q~aZkDugz7jkz$Z$jRQGpwuQ2UfT5BBQY7QhID7~&Bsp50E^e+$D1}`k z6bQblgh;NPX>%D)5zGiUZJtdob}e^E+n;VJ1M#z^t>GL#*F92wzrXuD-5UoNKdpI8 zfNKiUp@~QRynRPq6zuo^=iqf5mV+O3?_$I5@QTz0=h@WNvYo_N-ez1MEZ#Z*Q?1acpaLoZEhL^D^|M_ z#sWfoH$r0dTESDEzF)eisr_@AfBP*V3JfQI z2JceU7U^jmVhoP$)T@n9zD#FM&AGrLMh@ydBWR_^2U$< zQvvfH7j;)k=kC!M&Pfd6p-+)mTu$#~q?Du!cQb!EO`RiuKnd|FE@tQRM?zy;kS%%4 zfTcHq(b4NN&q4h8B5<-$R8l)J6vi0`rg(9U0FVt9YQdBQn}3`r7KRJ zV#h2R5lQxW=u~~mGe2+-to|hogG~ZMuDAEMKe_zTBdNbFBR_xBYDy!A`(EO)zw#6N zIn)?8ZrQohPoZSW+TnsyD%J4GRV4%!QtLGmS!>dc)6>@{>F&;#O|G>tZ}6c|4No$B zv`{kgC%Y|LXg=D_N}ey!^W0i!5=>y#3P^r#4&#|{s24%QRagEVQKKP`Ho~lKlkNkD zmv-)A7rGsfVWy47OQ3WwO4reO0!j&eN)bWuu@x+6R z7xtAbHgmFUi8*===PDt~(3)4|;W+HgkK{EwtS~C7kvq`cJ~A=G;=+Kp4s;xT0|JjY zp=9Il_MnzlL^g&P-tWE2K{-+?5Aq@=?ci~hg`ASg=()C8<_?5V=p>11S$;98_=giM z_H(?n$c8nMQkDK8^marbj9=_ zO&L$2#2>Un44r(r86HQS{)x}j-Z^nuTwXP4X`OmXjfd*p{D)p)=<#yzyXUFiw#qJO zrfmad&zP;%HA3WG<%8fajN3~2ja65zGX0ZugX*ooL1i*{)n zv#+R@RiAjdQu{S)?U8_f=v(iTen;=$Z7t>RMm_V#KO4OJ(#*BDg37F7MuVKnt%SSqlHVUV9jH!Fl&L`bqfa zR$ix?dKz8g5@h@GnuEESvNijfK8QqiJ>W3vTShmM~dFxVzTblQjB zq{l9#ufA!QT)vxh)!gTasI`;{*LJ(B@j+48Pgf0v2OE!WOC*K$4Mvg)7~<8J8ocj- zX5q0FMvM>=u139|jy zxp?-sI`Z zOkoyzxOS%=S7_#(ZsUH+bHdbIkSr=dw=Sf7xe?ifxt%_$?WH}2rN&S+>dFGi=aGFL z{%(e9^=Kru&q%EO%7&*BniK3Ss+;x^a~Hnmn1%#@jHJ=8S!bWK@SDWr4ew5Ja=4P3 z+PI-@jLOrFYMWFKCw3&e;#$lv{MvB%?MisYWOlt%M2D-BC1LY)L#|et!|qn7jG#I) zh~%uJ1q-_~q+Z*eddTw>ODPwc>}tNX6iWE}Jxi;bVRHKuA$Dr+#C9{PO@2sD!Dywl zTjTNG!_(I_^!zi30on1M+6EeGUyI`Y{jAd9W{yC`BP zbo^;eDtXBtrpn}$Gjis5EbK!+WILa0GF)<;a)j%bkglco6t^GNK75hN(6A^7qUCF; ze)>Z2H9Y2e&bb3#Jb#XSYAhFc_~ENmwBUx!jqiVP0T||=YU%FJ)^xw|Tc-Jl_|lGw z7mKQ^bu>Ie;bLdSn=SC{)tW~b@8B?O(yC9%6Bei6$VHevk0CZu-eW*0`GY031zAJY zlu*C+B9@p+P@4=@`8)qBQOTl!G@-yb*#gy-esk)M*$mds<>x`=Gm_3gnCCz+kG8~# zv7jRda@2R8K2>kYvZpTi=izQ3CqXw)$`^(~Lu5oxAX{^tqf4i>ligTT#XKS35c!VIM^~M$R{L^Q#s`)TnG3BH&6Aqqzt@k6Jaf-YvqnrM;`vfRMc2+L~w6I-Kr83xd^&Pf6tefj~v|ocNK%gG}m8nHZNqi8lt+UU1 zK7ACkkz2^-p+XC39~Z@7<--Th?D-?)a16E!$OY0_zaQAogud<|i zh9;mpQPLK5wdfLye*YkN?d9Di2LcC>u$eX_;;^&eg>AY!DIWZ&GlVyrZ#K_Q5m>!f z$bDDdlr8_z^)p|<1=nXW$sj0z=%LV9>hRtAHi@AICw59fhle~xINN%oTCY}eo3D(} z_jZC=?0VzLt*>9wTo4n}0UsoZPua;vtFB7yIPbH#60MaEaVuqxDXtm z)YOr(xhnVRPasz9LHT=kJ)#SQ$L6syc#DRDb_2a?d?XP)7kfeuctiYmbwY2M(I6j! zxSLHI1Th2rU$9*rIDnQhDyI2M5dgHauja&Vu90ZkJPa>ksrIz~Rl0vQY${a3GQ`*kDv)bEri&d6pcyhQo}RIJ@` zSi)ce=QixGlu-RKX<;=d=cz2X#IBJWzqa3Pvu6DIC5eGK+-k@nS~M=eZ?@Yka`S83 z_@BnvQgA~J*nP<2Us9-t%)BCgIP_JHP;I`2g2tzbvf+%sJWSNHmiRg2;x9jG?RS3@ zO58UaG7NFYk(7`b3@<_qmSbflI6c=eAg$+m4M)ofNd2KgiUhU zX=wDC@kJU{8NZXKHdo)~%0wGr!FAkc)~-8@M#ho==GOz_k*0;C1~K>oqmU5tqYLs# zKdKufqU{PiLPrd=x3z_uL0V)ZbGo6~h--aMq}1%OnC+dJ!SmVvsj4j;@6(}G>U7C5 zbuelc?dA}po-YNSJTd;&V+CO76klT&A|eu#?HU#(UFE=hJnnnI;X3G}qoc9u>5)rIhHy#AtlC=A;o*wQKCt*E`;uQFg*->4fCEHw9OQlc z;OmlBAQiysxPI7r99g9FmfOgFa+!1}uf_DJc>0*0$I3KD@AO(Drq{mk4NO?~h-l+g z!|QKT+Av1;N3VTiLeub`nYPj4o#3vV^y?h`417e(&)K`)JzMD~qJML0rTXEC7@jI# zU-8tqBOs5YI&8XFuyGvt$TXw#0()m=LM%x9 z{pXin+11s=QaMm&HN1^q9*vT+Y^A60{z1m)d6~km01ZP``tfQ} zNdsM&;x`cpDnjXo^G=q6IAV^gyBpz3Vcbq763x<3)BV%uZOqdES`6fN<5?8Qi?5V( z0%u*soy}GkW%(~cB-S4*_{8Eo2&6tb!hGiW3g*auG0ue_8(5!OL>;$ivAMA!dSGh* z*q)ATd4Gq1oTNq)$psT9a9Mmjk}=AhXEHlGdu01$XY=&CGx1o^gxKztjb#3p@I>)sLsS*IhdOEGBvu`aT5?BJw0T2%{fEGR@&a)K3qQ2^0! zPnn+vPiqYl`D@qV=f2Hld-=K3_&wEt&KI~?RBs15Z7qx@n`y#^KoV6Wt<&eDbcS6C zx#t<}oSPoIMgJ9t8eyB|7`+d3zn)?0Pnkk@Mc#IqFB>Z+3&nZ|1g+d{*j zHtt9ke8U*kz2;yNL3^fwg@x6ANxiMs{qb>fxt-3MX}A3@R)$;q7OrKk=-Bcv~=*&@sM z|C}C#M&F)2ybt-qDK7Yc&$*sf$(O+692V`UtP5Y z7K=XuIgP#S&+7L0c%uz>4XBbdn1(>~%-g2&0VpMHt77%+U>K#z%e~n%1cCgBKoq`q zB9uO4h#Z8t-@GI3Uaa9m!FI)@s7nij*|lQPW`~nTuJ`o!ivgkd*VX5Ez%#qJbX>(M z=C7jI+#^EZjgfwN)lvNP;?FN7QyA=+9n2Y7wzY@tLD=4AwPg*QP$@Wkj3-=!Rr>2Y zk`K*U5OF0`LrE95p9#%@Es9+t`Yta4sNZ7UUxtAt3w z36+2ohkQ>snzAC$-F z))%E0ze1P^u}B}HfeGtL*sl|==OpQ`KfJ5b26r~B9Dfp|+i$@ttv=D_@97tcVB!D* z*4d(JtIip9CaA7^cby$j+0DulirqL766l)a4RK-Dgr1L)_YOJw-`YoEu zWqKDMdPSfPQEu()?|-k$=2rhYR|Uq-&Q7cD%|+g4#6kEXKLB|L-^kNP5B7^_-|$xZ z?T>1H7_5*4A0I1HRy6*jkFf*yjEfuqp;Y+ayhY6xr>qW-g-$u$FiAb6oZB$5zVVE~1(4-EP(pTaDkGx#$t z<$n3nZdS=ZZ_c9=la{u(jQA3pnu-!Hx9yz4LSRIqK{j5g-S2)ee+3dA0fSGJZn(1~ z;qa0?l>+;>7R)@e%yc~z4737-J;QD)G@-DQM!dQcE9_x2iCSzkh?=^(;cY#Q(&r@4 z=BhSgs*q=2wQp9_(GVk25>FFXH#kk86a=Fis~+tni>0mR6zA>aDFD_hKmYA|s@sBA z_VNVvlicPZBUIVx(o8O`C#b!H9<=gd(fEvE!?>x#GQI2-%;RtE~0e`@qw3OR`udmCRPq#-mKA?7)Y;NTRXiM?}o} ztfVX5?hZSnOm}!=wJvobv)g?4qMbOwxp_sJn(}>dA%-cN7K4K`d~NriVeNLH+q2FL zl5_yT7cJuzWz(ReH%S=F@=$PhM|G}8tzl?SQzLt8ZchL5B^A&J5Ka_zNEkx)_VOh( ze-4G#1xw|$1tj}*TfK8zslHJaqVl977P-U{`0_nb;6-$b#|c$!^-rwaEIf!IuMVCM zGf8wbY2?sQIZsP-MKy8zlaib9?r7RCPQ3XmyZ90Tv=TPnT*3<{6pEW^?@l=9w~NL_ zTFDc(%Jse~8Q+C^11F?`fKhP;)Mt@&J%<)Z&|$d;Fok80iQ##KgJolDYiqRJ+<+yIXOaPV<>=S*LE7`^_}2h}jm^l2R!kS* z7pg8V$763gjnnYM1yu8HP%b8G+>+`%9%MJbS`BHi0_`!Pczy2gGyzoEuNOVUqz_mVV%5hH`J3Bl$!{Vz8` zg)|iDZ)!1pJLc@~9F9LAz&bjrvZnJ-UV+Y>w?hA!TXb3xJz`);*1H`pCtOLBkyQ@V z%uesS5)u*d`=qfyTyk}pO;g?1xSje5?EQN&Jk&<+3rqziB+ShL*f&}d&aakv(N&YG zIc|k+Wvx7>L!ze>Ge$K$Hz;p3`?VBW-WiAM_nB21^*`D@n*MetW;fKp^^1WFOg#f^ z?`dB&&J&^{F-B?RWM;PJ9N{Tb0RW3TpwF`*L@u{|Z#p`?j0+UB<1SV&>M*o0AZtyJ z<-`VHTjr!-De{D_O4;L$0-_}Z0(m;hr=k4#!iK449Hs~jn?;Y7n2gfjN0t5uEfX(?0ZZV_Ds7cz75Qf=(Y9cl()xQfz(=x&H4ElRoqw>FQTpi{}~iG zjE#v|I_E>=(=qrX*yzss-81uxxWYs?2lQsrL}N#CF-!hb*Co`tKdJCkx0=5gBG}jX ztcetbV2bgnxYhC2J!i2_r$@@SCpFuBQR2 z0Uce!cdPgWAMvP-0>^vTgS7P`ZRbbksZpT(036=JS6PfeC)aqa)F|d7UX;5tTgG=J9UM0MkeuqXruP|dhJ?4>F{i?S(i5_m?QaiG5^XBR3_Vxw?6(5 z6jXD`Jz0ECfBoepQb44rw%unC?->4 zN-*3U0CB4g22T9)PZmML^F6X>z9sRCC2gCB`~Gv(xJY#QrD)aO=AsV6$Tw#}-Sc=a zWBu-X2)5w(T=9L!{hhT!JDCMw+1LS}m|HEK>R+3YP(JugP^IRn?Nxl`!b>O?rN(nK zOh+9KV*Foe{8VIQuArI_?c>Ma$HxV%T8iXvbrt9|mM`XmfDa}q7v}cpg5j8WVG&hc zShjFHV&!kHn2j zd$*fkaAvEOaKICvTdvuE3DyuN+{dZz`z2ZHuxB6L4GMGNQBx1^tVQ>liYtr7kNP-T zy{NXCUP$bFEc_o`$t!dkyKm>)lqU*j<{T6RBY zj}|4AoU-PrsUkP?Jtdnc5yVPn#SNe}T#e2!`8|FFrnRqq38{&_fN#l8c3m?j&hVlb z7AD7KG=<1w%KzOHLtms7_$VJ+Ump5*dnSzfrmj|M{#Ns20>~% z%^m$FwjXH=6XfM&+6ig~KM6d<;s{u3=6~aLzSlWZm6xfcTU)BcWL)7R%|Fs|heW^- z;V@l6?PJVvtA8q>NW&!-Dxn5IMuiK`Wh0!^X9-^B9Q7IaCw`p4}_q!9@n{A>wk`;)c zevZXOCOv~+g-Rg0#%2AN_E`VFF8TDqFq1@X$9c*P^QprA6Oiaag)mg&M3y`S)O~}i z(h{J-5hUz$>GXO`TOm2F&wbWX3hw-#5Ob!wlt~Kwc-1o^8FXdV6E>0j24c5$I87dK2O`MCgF*_yma zpl8{oO(d~HCIH01q6g<>AKqcQ(K&~Za|<#X&f1E1FRC2v%@4{_kzZxCXTus#dRva# z+b?44PMuWM_zis1{B`WoBP?tj0@pVrmEj1f=y#*GaU5JQ%ZECxJ-Of}pI1VON^Wq> zPw-;P$mi^s9$c)-iLB}CxE=i1H7F5NQ^iLWL-GoR?q>Mmu)lN%6;k$?T-@~;nV2xj zT7)0b_|`t`j>-s}H zWQNH9D|}-Xv4X)YE2$dX=nODiJe{1s)FQ{n69H1yiM#F^e~9m3`(Uc8I01P?Z;gVu zg+=}t9kh<}K1g&Ds>>$wAgR6uEfG}J&_Kc3tdUYzeh}VyC62Xrz2_>Z?|sZox!_DJ zCr`SUjboK~8}ZI5&+zne_X}=xPc9#73c@>zkVQMzt+w{;^*s->*%mDhK+X379$eUZ zYCJHjxA$x%|pTK)5k zAuQTxU;j*qbUyLRQez_IAjPW1r-VYQQo!Uf_TGoK$lAT5jECI*;*9=rSeVdq>)><@ zwjy(%eEZSa=Awr%fP{g$MtB1mOxFL47w#a*A~KOSA#x8;rMQl&3UMD;o@%IPeXK&& zK%ZP%Z?OH*(-xSE8#$L>{nJCOP9Y}iYvDx4FkT&rIRqLzY0+zFP-;QsKJ`Z$4uAHx za@zj)MIZ*23VoB621bDWbhm+^GZRSIk4X&2@*?cYI(y&5e=0egqYY^WV z>It6{GU3u+yhHjChh5}5ElGioj%sqr-SH$MqUUT1SqdJvYG|+tG9RXIsn)Dh!^_X2 z5r`C%>w|fBziVGYDF!jJtRNv~Tz(@=cZVxCz<5m%5Q?sxw${8k9OT>#)i`RUXJ4Ty zYYhLGrzlUAps_XGfKKgq;`^PV^u16Peo7RBu7?hnzURf^EA?n2a5Quz!b?aFqD|e9hG*QJD)~UdEI%t|a5tH3Iyi1BM z{>a=z6btc>GZ8%x&seI<`oTZsN>w9TieXtk|CnLvWWDG~SQz3<>wQOu1^Q5| zsB8kWVndRn3@A}E)(C9uBl{O4Gj+R=HRh60AM<0mbX!K)-H-d<@3b2lSOxCC7nn*U zQocXSZIrtMs;a+L{<4sjX7sB<0xfJi|C1vkyJ^@5PRIvhJy@?p`5{^{0>BlP4M2(6 zaG)wMMmH;@O6F0;7VC(Dr2FmXStv0vn~OU&_uFH>o?KkO zoA>v&qz6kMwY1QUUL?pz*#ea=nf&gG_880?NNrnmxyE4E8xliH* zWQ;X%Q+#6bOYG!AK?|W{YM{SS8fgx@ivGZ+js?m#9rVjxV1N4dy zj9qAzirEJ2U+5`w+!9Jt7TB+zNO<3D%Yris-qnT@b3zPyANs_WJDNmGB~fmOMO? z1;y!MBCW(6uxxeU^u3qMb^Z@J^k}|8`o$k_&;kF_5&={ewh8;5#5JX26W zkoQj`3c7Fi%4>}k1$`no!Xl9{;GJ7UC#YtgMQzmV_2YCCP!+z!I$KI;>V1P zyx*do0zsem)M?sa97jaW+VEh<5v-&MciSIO>U*4EYsR2@DCwOk`9gnpH7u@Vuy?_@ zpLC|v5yU<+!X^bz`5{DFG*8}MGa2O2#Pj4Wz88l4bH#kl8pUR6xjV0#3LHil7mE=7INvLxIGfC7)h!vW<*sbJhPZ`R7niu2-5 zUs7382$c@Ma7YFoGG){=8(#aNIi~lnwz-^WIr!*}5a|)xZu1=yKe{B-Taq{p&?)tz z;jcxsqe3=?X=Qcc@1ySfz}9*DR|Y8T43;p_3kqJ}n53jotl2gX-9I$kMfh&TiZG#@ z$Ko0vmCTsnI&*7IEa_GJ5YvG1j19_AgWGFa zTvP9Mlk%7dBPYppZE2u&B=`2i*0JsfD7*gf&ncNdlwL}10ex}i$$lspzbBvMJaVq_ z3058Yd!W=2U3IZJ=*yEdEdlsAWe&wW&pl5MS(R1cKTcVov8gZOHIIVV9u58Z&$$n9 zwjLDaju%ON8^pwGi&0#@5?T*3RH|z>hYhgWS{@#LI>oikx&r6*`RVI`y2&9D_ zYXGq`X0YIc{MTd!V4h=QwgC-`r$(kYK)&c#h6oL)_8rr=UOsItqo~*g(pq&`q`;9P zfl5LLg{~h|->P8Map6M@pC=k$(mvDoT*kx*pmq2_0)#b4teR($Q^%vkIy_DGE_WN5 zg~8GbRHf&DFe^h9Al=y&e3XVFnwegyy2-MByi>xzxxxDGupfEf3kUUp|2k0g&m8iZ z*H5Q&Kb6lX0CXxp+k6S}hjx_yi2qymyT{>*A3a!9(EOk50dQNOb+P}#DOU={>yGj> zz<|eIkaA>-Jb1Xp?m`M*llaH_Lm1TmG0!q`l*q6CPsaIQV}9%eLh%1=|DV}@LKSpT z_-!|^kYK(8+)u#Tr*q*0cVAn@eQR#g5oM4G^2V!M$}$Qvp9CJmU>WxwR9(chwG^=5 z0MJ(|_{5R=Y-k%l24F+X@p3!A@9kYTA{#-nsQ01dY8|g*l{O5f-WVG?Te=fPRx=NC zaR<(65cn$AxB!?0;*Wdl50;5|H{$Z>=&9UyLVj+uZXH(YfEHbFHxdL@%wH|_!&|Q? z*zRwm&>S%GpMkE3mH!`80PDX~fFYQ@2+8iJphBwYZaQpShbi0WA*1z;jK}w_a=W+D zZ2uj1m&=9g>wgXbmL3K((6FlDZXUF}FnkP$H%EgR)G-vuE++L8=Ux9Y!;bs-@g;D9 z!G-HxhnMjrhrwW04Yw`8ybqcFHLQskkD~n*6CwWtGjARL#{uX(NcW`Aj>IWKNH$PW z6$d2=_%_0o!KE0${N3~Re&%G;5G&&a5;~}!O-PP)SO5n6f*T21>>b0#hHLk$w{?hv zz*!AVrg+%Inf3R;=t-ukfZa>*b#K-_6asJK-{I8;-lD!fHE65Wl>}&)Oqyq))@cP!4yo0_wVBB1#mbXNFWi01*1g*od|F^+Xh}nzT`l2E?;R*XYo^e{_``w^434j2NtDgyI)Do??Dy1D$%t4!R+@l2Ae8uei)!U79S zPVB+smx7oVdiDK(IgY=9Y%x77ziYdh36!c6aQ^*&IN|qij4fwOunZWdTBk%E9D<>J zd3SzrD7h&dy?VLph~wlo+{9|6w5OPz>R6tN5X6;w`Yn>C0{vXwmcglJT0}~buN708 zi|G@J^l?$L1(tF`#Ku=n^$60{nZSnhZ&o#$PJ@^3LIWH18`pn*o1IP%rZ)u_m9@zr zzn>J2TWTGJEWWj{Uuqf*d4PWWm&Pvx6hrxaKpW?5G1f81nmPmrZfns4-Qe{L&5;NO#67xCViTH zNpK9|aNPS}{sb8h{84lnl@{#$+c8DK?*G}fk?}YfT%4Uv7n^;y4-Rg(OxSg6W6&Q_ zN3<6D4v&w=M@2jq}uvVh|uCgNCM}yonm~=X&V{zDJn`i@px#>OS@*vghfSYDxL;KYOu=dfP}HI~M>^W^c&*oZzMk702p#N<7d>}7m=p3k zX9b-;091%ZhlgX|zkh#vagmps`{X0TtDkjFn_PT+N!ld|XSId~fzZo@6UMv+V24tHG|S!Nsr0M$>rX> zc|%S?QR%SSG4Ay2EVrdaL^_(9>h_>Nl{e#%0picu zVU6Tnf=X+sP&B!#_1!{wqEs*SF&QQ0FQA@vd~^UXOIGVp4nu`MlZM=O3ypL2E-dT@ z%?eHWgWIEdPTM27puCys&RBs~wYAoLSAfgm(mc1Ft6hE%qP=y{3$k&kymr37wMW0c z>MPPH3tl`Jo}Nx#?T(Hr`9! zPFI?rfOqzShv#cm)tN?v2E=gfe(>t$3gaI>zyGidfBnWF1^fSZ-^>5sPQ1k|{?egf T^@&pqv>YNUsR%C>Hw^f1XF1q; diff --git a/notebooks/figures/05.02-samples-features.png b/notebooks/figures/05.02-samples-features.png index c37e3e6472f73c3ed3a4e1ad3fbc062ac39a6e6f..a3a5a99b0dbefa5d9c4be66840bb18e4393ac1a9 100644 GIT binary patch literal 7980 zcmch62{_bk+xIB4ROpr^Sz3w8mJr6I2$iL55kq8Ovl|SpDr=U=nkCtZWFNAIVX{uL zC0R#g89VcxbN77r{XEb29pCXC@A1Bmu!3aB;P9ay%j-A}%6v=7_bMo3pH_=-+=J;^bl_ zdVcTvCj^4;nVOQKj#t9ZAs@GcAB8tK?~i#zn;Bq8dw}T=rSO9Xoo?mb z`gkxa_2TV|T4AU1%(9;9D$*S+)H?ehmHswsf%0KG(WmsgnNm&F8NyBXDc+5&+OCg8 z8WhFbe-bEmTHH>Ebj8o&okn>5MG15GyUiBC;=2&F5_dFM5Qu zdFn=q!+@R%cHN?OAedK9Z!f1vZu5=a{WN=W)MLdIV~kwX5^WPY8uD3Z*ajIzVsgGF zGqMTDAeHv>%IcI3dE71`8DXa1a4Yzh5t==Iemxn}_J)Y|$@|!(t-mzU-ko_PE$Zb< zj$cx%gRWt7mGcVh?CiZ`pEUSs^fU#o$9{8N#4ff7D*A*zvEGQ&sp@#fCaC89*%UfVO_j$Hh7+^`zso;Q=+N^Fp7%JiHcj#KcfAXd!dHuDYNTc@17_EME;n{n<@ zRh2w}P-M}Tea7d<3l)u=xt2)5hZpeN>IpJ8oN((IxSb7>a2RrXxqGJTO^`^%RO%jH zZS}36X=BY{q^!3|T~7X+1BShFq}<}35<8+S;T^_YOSCDB-{}bpzvJTKVik7K(ercC z@#Dwq2Qj2P_xz=?FjUgY2YA19qO7~byLayszI!sw&25;`^?prDefTkh&b-rFP4WgraiS$vDM_d)9MFlDl$~g85Onul{9rwi|H*Wi=VA z`2unI{&gk)f?~~N1g5PEH8pYRLFb1=SK_$)I=AaM(PQfK(e8X>IRffT z6IZc$Gc)xmefh>D*DaiY$K#?RiSE4H(yqk$nbX>Q|M12G4D8aJsExIoi z?j$_*6RLa1WA@9PeB6d@6uhvd{wvG{P2+dU|HwvKq+BsjGrRb+1WV}t&bLO;#wN=9C>wr zH+|e;r>f4SrlR-ndnVVc+T$!_J?HFOTU+JZ&|af-Y#bbx%seuzpO+4q<7fMe)pPXn z@ZFjyhn3lW^P=M7_V0~BIlP3PEN%5lkDvI{1yyD)E-v_nXKd=%uLrlZx955AuS>Yk z=$tcaU?{LKZw@_A?M`CRo%$!b>#OEtO(6ouj@9v?u!B|(f(J~==^2QetZBQrZ#!`c zpAk#Fzl-kLnW}90>)Xeqar35Nao5R?yv0FxZ)04OukAK~>($ez43UY64x#)gN6gBs z4Yjd7spYmft(Ply@7}$ML07_gPPA7FK@*!I|1ohwv{u7?_KP@dZ-UH7ZKnkHK7*u@ zpr9aiC8bB+bLEp&AA-WdR%xM|ny&*y+h3l&T{WW_FV()a7*n&H&HJe{NEEkLrz%l^ z+sL-+2cEfZX=zzY&^I!&Pfbn5vuVnYu6k?m5~w$z-gDxWm3-UPYuBitZ#VWF8ZR*( z_xnMxh%vTwEF0ZZV8Mc14p+N&ZD|XK-Nr_<9IYp9{HkWgpcJlbbFE;5UlJYAx z&ROC=Cn0@$iY%@^AAhhMx8j5j$e?Qvkn8vuBnZ6YCN%YH? z*@cCl?P_#5TG`}vj6vJ3YH0LDoV*s5kdXW9mopiXf=r<)ub9RLSc!}L8C>~ zz82oO9K93t^r=kVJE+bL=^?jBSbvGj_|=mF0=D>AaT=6KW0_rA1rak-)Vld8IX(RZ zFA~#ZXE1{EV?T5#iv_i%HBjoL@8wnISWWH|9^l~MxEf(t>d5?+@TpUu0h#Z; z7R-#jMjuC{hoN?Ey?OJd*D)q3DIZ#%itwzgtO#sHh2vyLVv;5f>9eAvqZ73@D?I63RLH1$~R-ZSM8^rM)JUju7bxVsrt&cey^!)kFWCg$Xck1^bm+AftXA zWMJX!%Yn?jxK39lnu&lo;4j8GyFWfS4jFoTd!yTc%x{dn&AcdxbqD1?Mt#z!7so5M z7Ta><(J@5!Qvl<8V@)=2P_mS*CHJRi5>Z+=$*3Fv{z*QLxYmXJb+{Cs2kc3imC~x=Xd`&@Np_qD{ zq*_E&L_{i-dzw^Gqi1iQ`v)5vJIBOk!E>tpp;E=_uunlKA9BWB2y=u$1i}DTR`(pd z7YMB{dG`}5`@w@#X<-UoXG;gad&-v%x&&DglJWq6Z!$7wMg#fvuvnacW|9%fPr>Df zYJ1%IYjkvU=s*T~W}ZwHK5wPtSAu_SPKwM|Erm*)J7>3@u)nT_%{jzCo%7zHJJDD` zT)fj&w+lAa4!nEkwLlSXrZ_p4wjJ_I*VzsovWbX@ z!2cSpZ=Yz7N0NNO5m^GUWhe)6U`5jkX5lX-BJiTvg&^TDx z(%PE#7LxIY#KugVLOA1G&a`HdybYYLeTU50KG&v0Raq#-HTLVPznX$K< z6}uP<0o4PK0t4eqhcRtSUTAcZ%}_ipEL&~QEE z%5BAU|H@sE(KsoGIB+aI&=!Ucl|VJs(2!rNyj_tY%+U@bIAb`Wo0OexT_dC1^`%L> z`X~E0ww4IJ@61)+268U)`7Pft_UN~;9j+>el4R9v|8#0?X}NLf(gOlHM#MN9gpmvi zd|!o|tK)u3OB){FlUF*NP1&CJhYWBn??cGbrPw7k3#in2~9v1sF{ zJAG06twt}jaURfFmP!~OX7n-V){~eMgbVdrje=r`fao;|6Sy)^zx{nF6mVSl-e?Pj zGcz|QZ;%S)kUR(mF3x+BcN|M^gBijAeBC=POw#7fRj&@`RQs$xnN$CTkYw`RWmmVj zwB-K1fss7Z+cuqoxR`gq^yM`*wNB*fU>eXP2+0g|$Uf^zz^C_)j5uTo606yrJ1O}! zI~Zz`1Mnmb)LrW`p={{8|NN?Z_V$OK3zG?H{*=v;q-N+p-o~aTsFt^3v1JG>kp1xC z95_kuCc|~HH*Mox!__|3=(belpdJVyjSUT6xP{7!1=TL_A(CFdOdA^;v-~z!;!yrr z2ai#k(ONpzT|8SHth9YSLcQ@s;UOP49|Hl-qqIAvjo-6@ij3j{5e!f+{YtR z*cw7XNS;x+e}0#NfdP;;)sj*11pYtCBM(BO!(iDB2);T&9A_b{W`JX~-QFNaqys~# zAu-G0P?wW2MyYFSYr@iBa)Q(%1+w%D&`c~W!~mMzwmf0W-DmGI^T}tztxldeVGTxE z@o<=^jg1Yrlzl8j$NUEm9$@@L5IYAa|);@1*%U7)n(wG}y?*`S=oW8 zfl+?ZHhvSRQ%6rP1IS_us3_-V8npRWpo{3kx*nuHbs(C^6M45w^E<|}3c-wzPfTDG zcuVa2i*# zFf&q91IDM|`**WsPuZQ`0_>ZzGMSTtf;kX~sI@&|1NPFe#5VfLzC)>?HnL%F>jL?) znc#ngrKI!#7hUHF^4hD3S|QMduopITK>gZfOKShq?m-m(0o{EQ1Rl%pL&__4gEl+= z%^GoJP392;ycozzgU~xxi}>qu=A7Hq=kAS}79SxgXh<`hb+S2*}61GT9aa9GozvoI`kJcj=rEFhwZ2o zIv)t!9T6EB9T}OXmuHv-^@_XTnsH)!p_!iu5}h;Dw-WiK$MXaBly&QN*tcV~JfE|5 zPs3nFNLpGSfUoW7n14b@M5JRrgzxkhh5K3a_S;&Yqc-_JHpZ;Wew!^O^hF72yZ!p6 zXklr2H3H@$+1tC&uiw3<95|D(+qL#N`)M65t=Ax*L;jTQh;%p*VUX9qmdDU3@qzzR z3a*&!(7dB!!E?#&Q!~GRE}29meNMS-SakOpbvh6o9i0VPUxQ_Trsp#1!TrlmnZ0JR z-bz~Hx!5^5N#&DCktd>~qNc#aSJxlkJ;T2pW;)86y1T2ZYZ+MgG{h-JMn+l8a^|38 zDWr-VFafruCEKh_pAfDiAsc@WfPT#Yk>WiS-7y1*n3xI?Eh^e0>F zMn@lug?b9*fDzB7eMgNe-0oo*0?eoUdpKw~jzKC-Efm}Fd~K6TxhK0O5V}VK3|>tb z)XN5Ja|PI!!_G<<>r*H<_+{w(E>bO`V6t!5q&b*~na;Gp4iFP=(ibdq06fQ&X*+D= zV!-)u=A+VdHr-c_tAy&n{%i+3RyyPHZol%3U@I7yob@aJi;LeRnM za0-1-4;+^#?LRD)+xp={&F(jV!OM!;bN;lPaMnFNJ>0~5zcUhHTuRe)M(#H1pyc?D ziZjUYJHK7pu!Ilhlr)JQW;_kMK6-p|G6&{1c6Db=aDyNJ(S59@%v>-H70^h?+}Ykd zEuTQ4vo@rnX=p3}<~_EMDX6Ca=51oxIbe@6K!ibz9{eQf`RROWdLYVa`3vUXZ+i5P zR)&F4E`%Fl5t019fv?y<;;HbUQ!fX2(8liWkeioRR#p}|dp582XjGhr*}%Uv>`^89 zL5~3k4Hg>beZQ+?Vee0W)z6AF5V{@K3JnlmS9fXr$B$1xJ$%%;OiYq@OG;7O4dGe~ zg9Z0ScKuTd3TTy3o*OWFf^e4(N!pd2gB!WQ|M615g>Ufu9tiuO?pK749#w?cU|48+ z|LWDN34GjI^VEG$*79gAgldBqj&S?&=>Q~b;R_cG*4Nj29ql$RApS1$J(L*ziIXR7 zU>X^b4r3Qv0E4XaH^l1YOOY3Umx*e#HwgYa$JMCg0SO6-o=Q(A^(6WJzsW_MmPf|< zA`Dt}=WddMegO}c>RBGUgptM05}jW7y(42Q)4iQt&ot=SBOs+ z2P%PuH&bv+;=*#r{$4W)me8FkmAw%;l_Pe?ms3dXywczo1}@$qpX zDXG4{b_IBYQJR*b;(Z8oZlKQBA|Tji=jNUXRN2#mg1yxpZD1vLs_^di>H-!mJn_ON-ZI1A5@y0&3$1w$MoF}S~zfdx3k1GA; z@c;JuVu9_i&NWXTMT7#|azcd)Vb;|Wb$qD zv;VeZG*rX(AGk!cahWIZ(e9dbDNo?rHFM}+YgV8j7~3|UimNBzK(3&Kof!@wOi%9G z_aC~%h&Ra~8E8AkT`nMLd(LH~`|t0h%=-I0l0zbT(0&?XF>T6zfuuCdtiR4T)?be?*I~A<)3WFyGky*WwU@8(5w88xU?8^UJr~Y^R z?oY78f7>oY&O#?Y-00{feEO7G`ZYw+Zxu*G6A) Smxo5chnlj6QvM~=2mcEVrDG8Q literal 7712 zcmcgx2UJtrnhv611MDbOuPBOwBE2h8M5OnQ7pb|SNK=Y{4GV}O2BZa~w?uj;2wqW; zW(Yy5fJg})LJ1}FAMbtdzV~L)6*Es1YS%vGkLgR_oplt7w@yRl zlHslRslFgxBk#?IIf|Z&`U%m38_gek_XQaSEA3Gg?GSI`fAEzf%Zef?g>jjr{HW+G zwWQ3k#-&+&&BWxHO-Oz5V>6Ps%@lmh#vpA!n&3<#u;XV4pzHj@vYG5%O^HZ3EgGF>a?eDWuBcFyQY z?fA@&4#S8`Z@sC;;XE?>Rux`zJ@ed6J&JCh0=0ry^)j>*4(!`EwB(u3t$ac-@vhjd zS=*`Z;wDV@*FwivuU}`uwfZS&2Nqjk)1E)yV}>PvNqDR%IAg~s2R9BUlJAkd()$_SQiT3DpuS%(k6P~a3Z}*M7Wr+<9z7% zkrC&m$*)hs!VCifs^F|%o9nkJ)Yq?H$0`O^{PN2$2aX)cV&%JaadmYyGIedbQm5e= zFX`^KUE;8E5uv@tdFE;3q>M^y|J9Lbi5nmHG~<+rog>k&UXjff#@bV8tD`vT&(RHd-;2k1t2;H~7?xFxU6R4r&LFz%Ke z_NHCIDENQ>xOZbdnrNt^a{r`OY^pc4^R%L(wSM1*W%X$GE_Qa~-+s%b-qT7eDiZ%% zVl{dp+qJN~ygXI{jeYaxjkrt4sXXiIiq4VIk&*Fsb$%l+ucC+Syx9+SaaJs$&}$nx z^Btq!&RMYHGB;Y{WhT0dbNc;f6of5GuAM%8noh!P3TOz4h;+K$S>R^lSG4@}>63Y> zYr;)WPufHd;cCSm?Y>H13Q0$4%4M3qWL&c{w5uA*i&yGM#Nwi&3`Y-BEIq^h7RQod zf|Q~JIbWB>v39&pOn6qGLEtN*jg6^u@g@=UAQ{l&BK*kOnW8JZI1g8{ay*v;^+*~FyoHyt+zwxx_C@ePpgeJCw zzGh-#f}^CXE)}y8%f{2=Cb?b9-aUKt$bCaaO|AREg9ko-eigjDyciQh!?J#&+km1! z;Kk?m?Q$z!U0Z@hX$z(b$Sfx++KyQVQGl8Cz#{tGx>c6&^5w8!;7H@ErRwE=^yrTt z-GTJQd;@)bO9HtxK!?6KZkLgf(W8kyn~%FSv;%&*w!XTs^!(W6$+|jaWJK%yUsY3F z2-Y^VfzjE)`lWEGekY~PmEoV?Szix`kibSq_rN6;F3$|i%z5{eOgZ8LJNcws<2L{b zWO`y)*zQUj;+>_{g;8`MN7c*3MAy*J&`PZwg1S8IJrHy9(WC8^nVBCki9mD$z1*es zw!Xgpuj*=Q71&k4#@81wULYl)E@z^TRQk@89RKB)Nm!B!YsR;G9Fx3qJ{_i;&v@mK zan?S+7Q-*6r=@+}SX(ZA`s9iH=BCl@iG}(3oBlA#rK;Ntljn%*U!X)St*xaQI=E>+ z9nDE9DucP`M4Xu8GuQHwL#58|-o2Cc8hZ|qPRYzXRZ0P5crT9W(I&qdAi8a{InNom z&@4p<&Gi0O%hY#kI6NGmrXInEXDm6a79UaYD{^Q}%zN@=XW-IT$BLzHv^T7Hg*9=q zpoz=KpG?oLoXE}*2Y^+t3_bOO?~wB>q#|bIyeFdIT;yUj#k}E3csMy-D{c`mTh+O| zm6bK;%^PJwoy1&kGbedB|5O*9fVHX8ox64!jJ70LkwB&vfumN2N+uI+$@kPE`0@}j z_3-exs-c1CvAEZmt_ICbjFp4W(9|@hCwZ~QwX%7*fSp%1H3wgD_0pwFcxR}!(3vx& z!TQjHJUo`e%Y;S)+)P*g<^3nG={h*119K&8Yf<0^X9NV^(-N^=h!a@>p82E_3koh+ z1=7fPyYEI19zGO0cTQ)=jvW&NMB=Y@b`qFw@wC*`Q^$|j58ssMRm{Dkm;-dNK1USM z)6?6zeR~_HO+YfJx%1~3QCEUg(NZHlr*rg^)IdN=a4>4BuaYu+o!ID+x@)vV{!>d! zC)kL@&F@$80RG-985NDI+&Aq{RE=sy7|uL~)$J_X^JbpW)YQb?*J`8{FRiDeK#Mvg zVwnj)nCP@{^QIYE^;`pwB!h4gqDje@L%B#o{`jh@UWvRCOq~Ia1JpD!Dlu_dwzmd2 z$9CjG>W2&F`ZlHU1MiPk`_aCDw?K_@0m0dht%^9f5IO^w z`!Yh9S%m}z8!*gxE_1NJmzW-qL?5jjs+=KBm?(m^ckam4>n``q0Mv{7Oq!NbxXml2 ze5Se)RR;Yv2P<5>b($#PJ=JZ*#KZ*VVHi$f=aEjDocvAe^#xTihtF+-xPUkOLF?_q z(tr@dI7v+J(%C_|{>3Za6l?#yn>TOviX5eb<_g@VwDvFd0+q=n7z<<_B_zmG6ZI9? z>pdlPb#+mo7$s~qV50b^lG!4RSTtTwTl*O>VK^2Gwhe0mibS>`WGF(mDEtB{>(qAC z1+mX9!jL5lWk71%-u(;cwe@=+x1p7ehiqc7pF%TPJ=Y zksurGtp;{<*92DfEE~%DOlDpVWglN0CshDb4sda0gJX?-7)Eq5hpObriGUd`>g{)#gP`FI=l>#uN(s#7@sop19G`(aJ5e zZONBqA^h|t&;Mi>u7fOq=`L!|A=G5UX(tl>r`sV*NI;+xwk*?)^lB0=b(;VFDOS!G zpRS#dUG2X-;Y(ag09t?V{xfpzzHAR&oTOew(&W#pOWD^K;5QkXg9k81dhC5J-Rs5B?U@W|Xu zr9NW?qxbv%LOm)bCKJ--Ct70TxjfhIA`Q)GkvxykyCDDJToT!x-XTwiwSr7$b~F_f z-5j}k@X(=&r5-m5faFbGUp=$nW0+LN!kf?3%=tx zU|hX&rOmTdAtRLkj_Ghi1R+15sld`iw;!11H<{lc?ziYv>POx6Iy=zX8L~oSb2C|; zKQMKqDH`3Dbjg)a`o5-QlKzJ8{Kxhbb&1>aHz1K`*)=?4OJqQPgta0KFgBN25|l!M z5~Mwp;W_ajH#ar5#AnJJ7IdOnYQXF51;-A`D3MMkh&z7~py-8SyD5_)$*SY+DWM;p z@#ZY|`xEpQ+`bm5rl?1_>T%!JoNK$x;avZa4GEG^FL9~}r{RI5GX zIXzyt-0=RJtgLsobd5`0)y&hL9nVpl)awMK#uf&dfFRbdHj$EW}#3Y8rOBY?xhDP0a=3JgxJ%Mkoh= zCq$nd&|nuJr+J}+)@9>ksLONGuMQnOb4HUtU^WE4nlb=Iu2^W1qXyon17u~wy19T6 zHGcf)Ub)XdpgA4-A%*qXdM;V7%nF~W>`V7p zPK$|=sFxolPA``L1*>Q4c1@6TqN%RKWU9usYhL8zR%KM*fttYL>-8)L4;~z^oT)*N z3H=rYBT<^onZy;Ku)+85Z!LBkum&3k*DwZ;zW0OR$5oV+bkTolvK``4UTy6~B$y0; z2q!H~^_4;skCo8RJ}>3(&rlZ5&Ih&8sg$;tvdW_a15gmx!7T#GyZ_nS{I@^ zI9F=9=V-5mrM0E0 zoVo6NyM`j$cU$soi2byc<*~6bE`R;v2grw3I`MgQ+q&%T5)9Q_;gtw+{id*Wm1$%V zG*Ai)pT(?MO`&Zm`R(fv*+1uuurL`CE&{qe*1^ou_q!U6IB>|?LYd4fys|*ik>=0d z!9hq)&f>(06L`T2?5kJKVBA7NLfN7YrLKKmV{OMu8&Whmm+;^w0vZsT7hDJ#ct4>j zNJ`Kn;u&t)=QXsoJL?|o^8WpxiTI~^RN3*`-J|30f;h#90!V)(s2$%1{R84vaF#5H zc2JSdup?sPh`mEg4e#>tx4MJ6XL^pdaDmvWg>$7rZ+tcK$LH56&`#JOE8Vc*RZOhNQQ^Qhn#Wsg!G0ExWh z1RQ%x&Nk_*sXe@B#1uT^zI`vsR)GE37F3u@Fw@@;M;sub6r6pEJ46?Qo-o5A*KEO; zQMlP$r^@p%|7_E+mirOhoCR~IQuePLyJ3Vae;qzEp*wRu`u5sEmAEe4cr-LTTpYx> z6MBYuJz_JI;J!DMSuN~v^7rpIwr$(y+*{@mE903ifM_L6F|Kj(WmnkDi87ckcr7GKPkJ1t@Eg(zOggjYw%schnj6CS|V)%+S}QK#!UYBss1Y_FQ0O zbTkJfp526Hg@1#?<~qk`rl*|eI>C1i96p>0h`bsJ3mNtN`8Rj_U`9J*_FzlMkq?WW zDCFGfb{i=|OFu=EC+2d^CLN6#sIfwpZ=qF*01*sqGZPvd?P!)2UKrgLMvs$n>jaNB zvb4;FZc{hXP+$Lz(&k*mKh6M&hp=%&E_BqPEL*eeKAZ%4-8tBZVx%wz&rF8MB&DXR zm{@u|NZlnEej+P3_ZmbeZR|Gj9d!O0)uT2ES+{@V$ zcjeBV8X)}qQ@)19oVSMuzRo2mGwS)b|J>3!Ei9}B7P@oC4n5fAP`-Sbn$Wt)7K2Q` z+$j&4egQvg6=QRaOX*Hk9-oKN)Os%k4%W&+>=pX+QsZy3yG0j>FZYNjBH#qHa7BPZ+DViR0?>Y zaGv$7O^xM|BS&H-F|o?Z%Fu&l0)Cyp)rN3M{uV^_DFwf)}Y!E0ZxkRuvVMQ$j*lp{LOY zk|v0-I_V=bMtNQgW#?U-t>?&rwQ=Qk#|Yv>u=jzqdu-Xeh(SaMGURek#|%xTSRMp) zLMp5R0s^PbpVu|9@-_+&T_OAK>-lqC;_h|!GG>LBYI&Z=#Eg0E2)6sPx-z%tQ`!0C zO@}Z1s^iO_*|?~a^b?n==&3&#-&NtAljt{b8rhbSg)am9!TeLf9khQ<`5ocP));2v zT+?Ku9OKg>BHH&@IXc1SiXpGPii(o9;`-)`Tuo)W+)?OA!4)IF%Rb(CYO}7)E%}>! z!Pz8@HX!_#&rH!)KCjvN70+r+^jB9xkP1RJ7NLvvExS<5KxP}dhu0nUh0tKx&~=kQ ztC7$viRpIw5O(Bm^dA&@@9+(TUFh`bthwh(I@gFhpZ;Wwixxocm)hNS^q))UCJSnb zyfnj-PSmz`37{zlHd^UYtehUwwh)0JdOR1v^pt2_ez;o?lGGAxuaMVagJvppE`gtz zhMwNw@O;bqBY5v|wNrpvNCsT6>Eh55e_Esa?e%+Lc=`ZPe&wHx`3s<+cHr}=RaNo_ zIXThYMa~Eup+AflVVji$WvR1YWFI4CL?FE~NJ98wQRT=e9F71REV7nIz6Jda%V4pv zr=V|ZoAje4;fw}AT^}62{uR?EqQcUw4u?stOy@yB;-1kWvb&g>!Fy2Xbl6sm7h!VW zy}{wO$F})EsAyX(=q(FV=QWQ8wjzf`rK(H+U_25A@yr*|YK(gB0FKYcAR`H#I;HFE zoYk`kU3aGpZhYY0&&v}rM+5)LUPUoWy7p$KX+~$4m33h%?9J$~TgsEY(~0ZPX+z(K zh9(GNzCoqW6qh(*9Cz^u$i|=WYys5;dE^rPRpp+PbXIH#M4W` zGGR0ENfIdx4^fcAx$6B$aYg?9n;_32l_tn|s(pFD9qT$!(>M4eIQ=rCo)ZRt|KWoR zIok-?yZ+G}mjPQTvR3=rZUANO+Aqj6H^eLW8yjS3lOg>=Q2s%d$J(#b_8tfuC}?og zHn)S7gF)aEA=px)E-$P+#u6kjk5uE%^Cb~VU)$e?9i~ByyC803zQP_6QIWr?_xLj0o;$wR_W$W%2KyA+oJ=!j z*b%QCvtoY-_TFz^Oit24uC`cv(VF_<6xZA!!~fKY{?(KIUp&Ktq>@x?{jv5CTGqp~ z3VgKM8M#58Tcxc~TrD{67<;p@nc0<0ZYuvP>HFLNy*q~g1AzT?LsB1Ex9iY6-7v%2 zM88{U3FqhJ94*ba*b=l1h&%ho%u%Q|-Tzt+{t|}&-Dl$rrX|@6-HFqc+$eZxsA{X= Im2L0-2VSGvVgLXD diff --git a/notebooks/figures/05.03-2-fold-CV.png b/notebooks/figures/05.03-2-fold-CV.png index f945b5e6626bf048eb5065f0aac050dbed9cd9ba..bfdd0bf56357971e2a79a01b2d8a8514cd8e037c 100644 GIT binary patch literal 6681 zcmd^^cTkgUm&PB8qKG1|h#CY$R0Lk>O{9qeQk4#orcwlHl1L}PE=p0P2uN?zrFV!T zAR@hlj*8R(F+k{LPiFR;o!Qx)+5O}DW_I=&808_5Y71+&<-D>yB}7bvY$2EG8`e_o=&Btec#O$bURQ*wx)$ zMC!o$R|GlXp>g%Hq1XHQ5xjOUmAi>@?6A_of`_K!`>~&=9h0uK^}Hfb?d|T(ez~BU z_P(Blq;{KG^O0#q?2(zs=prc#%xt<8WiaL;XH1wJ3!A|w9wv-d1N+s7<3D$P$_Mrw ztolsBcqvNDtmEq9$wT8V?VH>2^0|j@Q-Yd{o2GB9=mGx!J__6O_ zToZFeYxPj>i099r7d0V>yp1rAsD`71!~KzeTw+CS#sJ zQMcC9(?coYs_ok2x2s4k-@X;wwnXa2GY6c>wX8vhDy+EeN)+8`I+SZ#ppurB##JjK zKNz%2P0djhYB2B!UAfSyQ-rgtPt_k&G7b~-EVA+2BrANmqM)Fr zecSt)FM)`J^FX00g+eJDaLSFex3M{Y;ew8FwvmH_gXXnsH=LYu!otFeJ;|fH>oKbd zeO2xgFT1+B*pD1Z5xdiPcXMUldFT5vE59U-x90?;rH%R2LkvAUO7pDhgf%vPKIbX6 zY5r@Z+S`DE=}-^hAp=(i4|$AOa*r4u9i4fr{+YnJb81EQ?R_)d8C)dKx&Ea7ep4=4 zH{~Pzx`y!7mfjObdwY81*J7D6L=~+^M@JWzmM|;F11OClT-lYCa`0F}K~7TA<%Wia z7|~mgP$(4pv11tzNPP}NrOqfR$M8|VB^@IZlQLf(Gc&V7bneDnQG0koLVkYT4*Hm| z`Q4J>s;VjuVe=33LuI7x)iD!q?}|}hvVw*_7F!JW&s$kp9X)z9^TUU0MRu(l_5Ryy zqcWEfcc<>*;T$T7D8$dN&MD(!XkiiOj=}K!uy`zSf=3i# zRaaIH`1R|Tp{eP#X{miXx3`zqd0yVjZ{ECt?$Ez_^@+-rD^m7tCl!{yOKhwRxeie` z?AzmwG&BMWi;AS~cAQdGRTU5sxgH!GoLj1;s~g#HTkqPn7tdHuB$ti)XpQ+T1fBo#^Oj zl&o9gX+AzF%%pZiWaKxOvfYTX!*So&+6jof{E>6oH;j!VT}G<~XqDjLa9p15TwGZ( zzH;SpAM{g=@9JzWwq@9^+&9?_-!81vTFQhSVyYy7$E@j2d0lbJBfSvfg|YHDg#t4sEqm8-QK zn{{bZ3vwZZ?*xIX$RSHhOO%9N5c7cpCBCaJd-m=Xgk}xH{{G5Vv-ay1O2MZXiq@NL zB4U=?=TYY|R_kwDHe{ry_tVsa@=MjC65C9{sH#4ViH(hT^CoF}`tH-GPiLa6a1KK$%-quHg5G~JmJVoRk`y@Kn36$SmAaY6&XumGHQ#GK(TR9VT7+@{o7$j_+Y&%FfEt6f()f{%!Tq z`eCH7MV48ST{9eFb91w^FkwxiB}#-?Xxk#`yW&Kh?!1DTYBO?n&b{MrW0N}SJ;mkR z|MBvkJ$qh;gc$qyRC4@n`lJ7xoE%z1LjzszmW11;nzY7UGRd!5LC5+}OinsZe2dW3 z(lRhGc$=J(QsOa>USC_=dg{3+^mG}=4!r=X$aS)$vL); zJ;T1Yv`ua=vzhAYy(v;h5ZV0+55a0}mf8BZb>rnTorg+iw$_)N70pLK-g^8togTq5 zM(sDfbt{S1E|(wgo%!>#9wlz`A}cGar@#M0dAY28C==rK)qIlu7qovwTwE@>Zr2hN zYOwr%N?W`_wqA;w059*SfpI#7TRdui|8=G9)J%g6%}Pwl9heDeavau`WOnaM3W!0d01i16@hl}kGGGcz;j zQm1HreSJyn^bP*&Ov+)0xa3kDy3=VYeC7F}-WHL%9D@v9jmo9vWjGawudjJg7u{1q zlxX9p@$LKfo}??!i@lfZnlOX~Jj;Pf?i5#>TH=Un9&Tm8zPFaWS^FO-oKrwkaBr^xwd?#>!mZzkh$F$9#<9 z+7AZmY_C?fajrh-;bdD}_Mbm)HIzoquvGqdujJM!iigqgSEuq?|4lg@d1@--y5jnm zz;2{`ESOWq(8MHTZOw~1)2-g+x?5#Y?NtD(l@TprFIQ?+XcL&O9i0rlcV1NV2F%kU zg`#)k#%qJgrj#aI`n^9oISwCAjI#96$jrv9fuPK<9i$%DNkF5@9gY^rG_eQd~NPV?uLH-dQDYL zZMN6M%E-|%t9D~n2(&9RD{B^yGaiYb3P`#qCTH#09yR17O`RJs;CS`a;2?o73r6;4 znTyfw+sTg}KQ=NjNP*)N5D?IS>c%MgSGv2qOWJ;82d~osE7!Y!zW|)#tOf|OF?g7; zdHE?NC8a%#jI!}Y&+?jW^Hi28l+M5-{OlYYlXH3qQ=ZCJ>qJXbiQl?=L{t=Mwl|xZ zg{5byT`9k~Skl|aCo4Hw1%^{lNa*c|iwQ`ETFA*vq7~jE47)OCW@~3R3o2CkfE4LL z9?gCI`Y``)F84tTs^HbA{qMk>EG^^Jf>9H+XQF@B)?vgjDc&?juHDS*>h3Oq@M4y0 z+}qbzy0HgwyC95V^dMLK@y%Cra&UMP8yo8~Ry!Y5(9v+8k@lmZgrM3NMwHdXci4Zyz@HtdaJ$o)tV)X&IaU6fr64ayxwz(YC-qg9Dv zG&VB>?-gkRh7dW(EpO^tw_RG)$beuEk283z&en&AvrkM-W&5r!=*I6uI!>5RDvJKl z`{Hjs&0;}S6pgBQ!GLs>9R4T8d6x@twQrNXt!R#Lb&2n6nFu;ch zzvBBR73setDEGhs=h132gLLiA_ZKnPwLd?NNy1jOIW$Rf5Qk0?Q?yRN?^J}neLJzR zAPjN=vDIOu@<9l-%yq1<0yFhqmKT~#esYd(#|qTi`10k4`UVDPH76zi)ABYU+6r5i%=&M*$LWPZKaf z$Lc|Z^)WC39UWbz7bW@g=g%iwp0V=eeg3Qx%%fy^OvDm9>K6JDf(WUgiF-k57fM=u zyMY;^oX1)%LRjPb2%&m=N@>@jXp4;Bt@2nH&cyF-j_JOe?K}n|=`vDTF3xl$SaUB!d_aIF%Z=NQjGvM@F85Qo#E&W#{C~e#56Ocne9LItY}bk2$-1<8JHY@5FUnfhpv)IgC+N99`*57Jq^ACfKnr^J8Lqh@z!Q&2>N=u58Q*MJby2lppPr0nG6(|`;PeK}_M@_aZ$ zy?cE*osj%!2|6u3eHKz(h%@BE65O`W#P8pCp&h_=3|w3m7^?3f=5Z7{5;HwLJ&k1G zl$#0_d{@3g;04`(85CrwuOD{$^l5e!D(fOwFz3^|2S1Kwhk~Uut*HHUzZcN6y+LR4V%*=giGHHGKJU{`6@TA>*75Fl6-hHh90dgoKpa4`nbk$I0)}f)_4CjJWIy zx$+{%zVMTty#ojP3iy~Wqtg3BSk$lvaGBO$gCIw+x$qCNtCcfSgRc^#ciyT z$MT4Id3lilVS8DQ|1j;V@^l3cEb8@OV&(4HppuL%EOJ4(!D*#rWJrq>EzE}w;S&87 zR);YmwqUcfV|8^9%1*WbO0#owFRWdZl{E#fdGO!?^S*s|iM2?%G`-ym=v^SL4?uAo zuT*Kj8se^?#s)NBiR+kRT1JMDq@-bOZ7mv72Am8)3}`C8vb9}lmqrT?i@%#`@ZhsN zo%HRSrmc-lv9A)oR76HbrirW|FOT!&QnyAHez7O>!t0Q<`+l58N~;SaV5x@M+CgV# zzP{n}p)?$m@>#wMrOPtOw*(lS$IXMz0C7Rfd@h&+Ua7>+gpE(Ve8~*&R)~-9N@r&$ z07$n;-B#D^1E9NINm1AzfFTn*Q`EUyW=W(6vpoV3Qu0S67!W#%uLne`69J*_k@|9J zD}><@^41c7heLb3f*fwEoECOfUvWSv${fk(>!JP%q#orn<-GDUdieZD7#Q9$GD0o4+HUSPz%6rk~AWHJub5@?d*SuE@jf~P7 z8`WS@anV;EAzYah&o~T|kOgDrzq`E(yw(Tt_5nnzV3d?5%z7I)EArNt*MrHsNWh^V z;&er(e+vo-yunU!3ejriG$5XqntFG-BS|-Yq0@7^gBS2nr=Xw!C5QcBiCedglY5{U zW@v1j{y(Ay0HuG&hHLo$3L7F|uW{44J@|WF!GIG=?Dms$Ix#d3%BrX^i-?GTs)81D zgS1Pzj>?0XOoQ%k{CLdT17MwtF42TJrX4$R|WuU~=ER*geO_xU6`?wd~v ze)&)E@NNRiNRw0W0Z55_Gi9q7%C82LjLUmF*m(8hn#0b$5npH}aR}??sTW&+_wU zr>0(ov!^vJ4p$4S8d@DrNZ1vxOU(PfI7=%d1N`(UJRYynrOxC3`?tgQV<%2z0z1@f z%w}uq=m0+Wr+xTv9ww(`orPjK?|tYvBJZTeG`BD%4rdN75#Dh7XLz604Pb@bn`MGx zVtTM#$;!;^go1~Mho?Sy!l;v=XmRo4MOpj+B(=WHtkA^s9qw_e3f zx|4fffL;UJb_1|NyRjXYV^FtNZW7x#9pX#D+9A_u^K;g)D4FffxE|~K33l%`CFnTX zw5F7Qx2Jsvlvh7?qNJpRnU&S^^Hn4u1bU%r(~P(cB0DiYKK>*Sn4o#h;KkBZdlYu+ zb1>*=b9;Mx!NSV?5cr@Gh|xcwz}V7Kc&3fb6v!C-;3SD=3SNJ#YqnR0+EA=W$K@c_ z{*i1}1ATqkE)q!ek~dI^y<7Aqft!8xVUmO!&v9CJpFV^r6IK36e-NlBDK0LS_1%Xc h-0a|9|I)uVEL-90JdDxzo!Ah#G*or3=BZde`ZtYbFOmQN literal 7816 zcmeI1cT`hrm&Ol>G%sL7y&#|xL_k554gp1qL3&lBctwz+^k$G|xrzlOg3>`+LJJ}y zy{ITkRYI?!Luk@_`1Wzltoieszh=#R^JOiTD;Q4ByWjmj`}sX5L|<2vgPn&RK@bky zMKwbNVLXQ*49{4Z;WuY4^WA`dm^@T*#;owV%X;H6yk~R0c*O%jcI`!f7@B(nHW7qh z6sLCH*f(yv*I&DJX?uIFW&jaAX!VEI1JB(LYosM&FIuGrxQ}#cnv04Xjd|+64yese zRbCD0eCBC>av?Ll;gxe^R`ke{YIn1m;3cU%BlZ&!K_?pD@8ud>(X4DdXjs43-|udp zOKkT*T%k+inD(!k$+AXy@yh<$g9s9I^r$Wu+?i|Eo^uFNb(oPAL82}o3<%=EdIUkP zaWXI=Nd3_u_@q43ZUi~~2w_B!(cS<4@c+JQJW#+^#aE3jOmyVg=!P*caVItr_X+FD zVVQS(GIJg#{rcrftYO8YJMV*kd~IwAZ(?DQotlavYBJo@aC6Jk($b1}@q)T|;@poD z5)x+DuP5{SO-T|p+3?wjbU1u4Ej1Ornz5skQ)E=s_~IetkLz6j54xh~jrVj{TF5?O zEkecC@>Sa#H%MgiOlA$)yg;k7v$Nf+ukN*kQ%xveaBhBnet~0aCa=JuqKB&S{8aBV z{_CE_7UW3<@0p%r**iQ)kz3%V_JXgH`G;H4s;WHOfwN2W&F*r)!nR!NTulLgW5VKm zorIWFM4;|&i^~j|V|{+Jt)mUGUgJNG7Wd9L(HVoT4SJWhW}0Ljmv2ur3qK|(*qVJM z|G2!YYu1aYC8dS>vyS~0<@A-xZ3p`1nidY{hQ}cK&d%f>=fZT|c%Gt}@|8Zy+QL|5 zLIRmfWmCTbHxv+~bj%!CHB_|&{WmR^W5D^~!=F8KAP9N{> zq_t$c)CfJ?NnJ5DHO=(jSmsgm&gS=}GT=a+`mmPOz<6KYlxGlOc)^N2raqRDtvOT=adumnrFpMZ>-FkIXY&#ySumK zT$OD|RI!E~$t00}lz2^&dwUb+4>M3XR^jN5CXgGGhvy~nCYX><5DS0wAbqmVv2PYCC zq|Wq~*3GVDy?v|SJj)v+VOf$YZdqav7vxdCTQpNLDeg7ZVc_84pm1k?Sh~sV@@3M( zSd-IWb;y&juy*Rl`;jp*JVjU~B@3f;Z39^LbsL+=SFh6HY{o0yF?24xx@XTGbi1-l zbI2V=@4Y5XvGmm;{OZ7?R z^gzl^3xNd2Que~`obhpcVhw`e4DIbn_$6A}=H^|m**?p)wKZC2KGD3;IVX4r3k}w6 zfWw98CMabzHyic_Zf~_KSwpW34i556b>nn(+hqIi3QnwSy%-o6FfYe@QRAS?496Pd zx82*`y*tAppj`IROGHFOR7`Bw-QEwkyQ@YXKW1Iq3Rv5sPxd|Fkb)*aj<7CHcbi!U ztfh%tS7gJTEWz8Gjd4HUJ5W5~SO^IVJ8iDc@tnEw%`3iXc13ozg#J{qg1+vglc;Pd zEiFy!D=$sgOC*Q#DO$DP`TY5FZV?$?AHPmym0zD~T0mrZ#m*tSnG}3xPQI>7(}|V& zKDLkno7$CU^XS;IV-b;&+;Yy8be+IEWKKSX@sa`}yduXt5@f)kFKa{!EkpzvH@!`XA%owdX?I~<^f&I^8k&%%i5)yi_ z55e6jDJdhM;^yX=p!4&k%j>B9aNqMiWGaJH|!wK6bpWOP*Y>{+8n zTmo%HZbQaaRsjvH?xnpkk~V*fTa}UO>$OKlMjU=oKL&SeK0EYA=62T!F|kYeb`6G? zFGn$R@gKe{MC&Qe9~>H5`m{@e^#1+(k5BZ?&0{pe_;a8hlV1*6w}cC7M#RVG_{|iL z9mk4RsSM38R6A8|t}Wzlbga+T3@qV=LRL5!>C8~O-1e;MYPH|f3VQC-r%#I=HevEu ztsgdA`q-U2ceZ;S&NW7mBSm}8EoEQM`!ul!EX}ENh~?)u7alEs=2BsjS%c29Eb+vt ztE=O;mfHCeI1yyih)G|t@6H$>DqDGZd6{IgDb&krebHg^16-d|j|C~TGBJtl!%v>t0?F46WBmO$Ag;k&`?cZhKyfg*@bGX2zvb+g zDGWh^t7YOnxQ-nykM{^_*mu2mh{5`OVCLXS&9kWyJ$_sRnxZUCF(|3 zcWCt&DSDG1Sp-jz5zhmUvDiXJ?WQoMYW=%quZ6x z5nO05irAa?mUtN%8WODV6G8=rmnj^|iINwcMi+SSHL9 zo8(435=4u}`gv2`RaNi(&B>PuA7Bw?3`$4c7pVKd=SOugYFbDJcsK#WD;sFnp^G?k z#*koaY@FH&|<+&_eM2ttDPgL`_Me z*JRt1r%x$gpYs+3Y~k;eTVa=4jA#^M7=Cg5&3zUwa6%?sr9QdnTef}2Pe@4_gP$;h zrf(x#X2FO-9i_ineMUw`c=vRh|4Q%J;)(N3BR8=Nnd>XFxlf)v(MX&X7Zqi@p&Ky|3(!ZWw|f&U@hi^2*%$ z@$ApD`?sDKI? zT0-tLAA;D6GU;Ot3=GWQ-N0Q-S(qQGMPbKn8-GGZGBq$-DlAou~;nCCldW02u3E4ypFh77?E(;Nf7E_q0F~ zYU}Fa`FF62!if02SI-phf%Dmj=Rel5c2}8C(Yt;^GALk6GL zgu%#R*>_991_CYA03jlxn#&ytz4k8+ za`fSL>%dlU-vzdH2TV*%EZsI-D!0->zvNH<`5%WI_>BVohu2CK`^ED!;z{4UlSU*?f|qK6c|YP_ z3{F^BC;E)~ZEz#5p`RadIgQpwo9Ej-S5;LtHZ@I$@neSKWzCR*g@wiaA)lF^jOV!2|JKMVb`}R?&O`X8aeSzEl9K15x#l^+6u7WI}S7S>{J~=zMTm1ZY z;mFw7tZ&~gf~A?VQ@RC9LK`S?ds9H?~Aio{U)B_^ z$zT$teSckp)iXPDadEXrh!{o0#AJf|N=r)vI>QO;B}8;jo2scjfPHO&=s|3G|Lxuq zlQ0!}5r4qyUjx+xmZ4Iwl7aI15#oLyBA1Imf0O+I?z?{SEvbXM&d5a$C4j9E3) z-YDijC(nCMcbUY>x>Otsb=^|EZ~>q|Vq|PA3)TUi%B(2?iy94%!*cqGcjrSOp7NX@ z#sTlrfWj+B*Pv1NA3WH8tzXyO{awY{C@-!VNIMI1t{kg!1=mLK+!-+P1Ld87NTCFM z)RKsZ{m@N2E1bcAQ{7=Xn*o)Z0oz_KpO_K3``k%^)Lgp3*8-F;|C_iu+Z0Rbb@rjo zgTUlWP>5OS=^DMIKJAMWlvc3ilL{`rzN_5rV4|cupSR#s@caP>&=U+bLh>e;!bcq7d zNW`mGsBnMY4_ou5afVKbwT|iCc|g8kJevV3Fr_R9i4#+3FI%L5)zem zOyETuq9iXIl&~_kvrC@`)b{;Ft(u0jpbwQpmGnx!9SEW}I8M&&y=YPA=H~DN4-Z1K zcU@CIaq5&#ie^|FK={(&QwbVCPi#af)j0-m;-j@pqgBJei_8n%5PeFy082y$OGjGx7Z?(GYJZ&b@8GrUP&tW zzn~Lw1t;(rLL!(NdIVIQ(WnfCFi`aOfQ65UpPy%DW;S1SDgSb_lp)9f*cZYYMuF<+ zxVUUV&CrVkNHx5cr>+QVUf4%nC_$=ZP*Yv~cu$PX?HIeJgq-vDnH{D&@}7i*7z6|; z3p{j^UptFe7m~xSm@Z=rh%&M=jF`;!Q@E7}A7P66wUlhY#iNN`U|8VKCN%-UJT-7?oCEU+=`P z2&3+*6gN5TYN0boSMw!_^3>(&?kvdM@WbJnp42LaEudl^EZ+0}kiT*w?8>lvaW%0D z39qp-Gw`vG>#RM?n?0Ja!qAiyq8>`d;0y?AZeSM2i zV1w~NdiTx{ja-2P6}+cNrLz@R!AO081upjb^gDbf2!SzW-?htVVYESLiyksuNng+U zyut`in2P@yYU(8(R`k~P^73-*Eh)Iaue$}rAJR34p|8))D+9{Qta20ZG?AqViY5fN zKR(`P0mKrW?kzP#-$D|wpNA(Cb|@n=QwyRy6Hm|g=&7v`8*OQ6IRWtq7#+x1n4Z&U zj<~^%bhe^RB`#N!t&J5kAnue6H5m1buM1uJ$z5IMLdTEyB~JuV%?u5bVQ38QTjhoC z$ISUtn9%$M+D!iUS;w&^Y24~~dmap*a+#y*X zl<3DmlGW44nuJ&44+H(f;B3A=`w3kS22<=25j02VIS2|ULmWRmy6eG|?K$=@_^eKs zMA^|J@*6A}euE|S86+V`NZ_$;M8^1$g0=w{R8TcRu%vN diff --git a/notebooks/figures/05.03-5-fold-CV.png b/notebooks/figures/05.03-5-fold-CV.png index fcdd21a6f377be0943af861bb918317316569e0a..88137a156c17f71c5f256410d9520dd77b2c6b52 100644 GIT binary patch literal 9616 zcmd6N2{={#{_iqn9=1v{gl(4$nWqd18(Sf%gfdIpJif?~nQb1TC_|{|m5@1e#*$D8 znP-)G$jtrf{GWT?d!O^3d(Qbk=lri{c`Vyr%U-|r{eGtJ3e(n7qorb@LJ)*j9f#FH z5TXM3=A<|TuXLY2Wd%P-U6jWyC4WPF{FTh1<44)&a)f+B*V0-ShPS4SBkp})RC(82k(kOcK+ zD}rz$>R83A9w~E!J{nhS0u&YA%)*`C;chb1E*9>Ea%zmS_ z{4AdN$VvUPh+*o8V2xtJ+czBdzRe`Q{6dyDi;h)wGv{=QJQ`1AsIp{@?cx4PWMC9f zyxp=pxObobd$oJ`bXw>FPldYISC?fw^Z5tUDbsS-?o=BI5eS4Mr_RqKSS(iI5OpN{ z7DlFu#fCQ$bEDBJX8tHt9J;WMK)}W6nP9O`a00?;v<`-e8HM6y{13dH7kBW{_C9xa zpL7rEuzwqW(pfE*Ozm%f6szVVy$inkUKQL7s5p-HBw|_T3Bmx1KxmB#dZ?P7mUeE^ zEx#w?dcKj*lsFbEo*KmBU+uX@W$d$dbZ>Wff46!+Gb?K{S`AATpPWpI#9}D7*B8>4 z<(rzCX6EPjW}F0XmixuUp@v7ZK&B+Ij6*u)>yMFV^&(klOS|LZH zn?6~W{s%Tg|bYSz7Wdyw3CyT^C8rz0tdaMzlT zpI^j%{^pURM~RT%b8|Cvo{u<63rkBAmX@4m2P=>L_>%Xi*x1;Zo4ptK`T3QvUq1%>v8kz1@?Jmd%nHxPV`h5`N#f$-gderHzI|K& z^x^}CH8r&pKKt*#E8%dh)7!6(DCJxs zV6hzWj~+!#O<4}F+`rE>F+Dy0K3S~XdsFnirI=RwIokZ5?Rs;)Jl&w6ppkcp{Jj+} zJoAH<(_VJNH9iFfc{%y{Evd5ZizD?U%ruAaB?d|DmPzeX>Mh^r=R?{p1DnkJo6Hn_ zeB|ecYv~b>pR>oq!^2IA`W|=TP0IRrckBp?IVfgSSLl-`Pe$hY%i!K@op|wsi@0&)kpoAG0c}~o{A8iQ zjT<7Oq5-3$rp2YDa3dRH(sjL+qUyw1+7o=)q1kh;@@W~Kd^pO;$T;FwnbB>HVr7kp zVwK8#@`N-vIJonhDMFy&ys{$VyXP%%qx5}Q z$5i_xQ*jnJUiO=ep0zdK^73-Qtu`iPSYr&QuC8coJS^_*Eb_dHgSCYb#Y^K$Z#%_c zP5RR?9%Jh2`gz@Z^i8nnGcGjRmvNazPg$9S@$g|32M2w%QA~Nc^u*NEJN5_yVF%Yr zES9WM{@V|x`1tt6iMNLb%AH8~ufI%?WkR)cN=av9_JQ@hp|0%Q}2^W9<&8_=U(5Q52B}HT+U+bx-Bjz7y0p{ zP8A@*i5T)q_l4#FGHS=~pLuEM>A6Kk8C#;+mDSY9UsqN-EsiL@Pm^aYDJi*0Wz9ly zmbz=sjT?g@HOfE66hTHpLL$seb2Bate<_ZVuHt0sAi$AUAuO0 zcU@e>zV`QD*3}Ie8#7C|e;GDaq*DX%J@ZMWn17~*iSDwi)`_J8;8 z!pxdyP-y6QSC(3DiOn&@#LSGiu&_`xJLPN;U%|Cp-Hg1vxoXyjceuq+o60wDvc1sd zw;!qsE4tlb))anJugXJ2fGJ|2%Mt^?(?5A5BqYQ_O9_jP$529f_7+eQ)%-+t&~Fc?lDA^KalZlyGeL`oKL1DbAi)K5Eb|*!nA6hCg^}YrP%v$3|0=Yng|JeHwqA|WA>^YW!Cboj?lpM3g5 zLqf`vgivuNK@WqW^^ojOValO&qZ>=(HFGRchhT+8PjP2<1Q#*frpurL3M7+sp}0c} zJB=;BSa6INdq8^8|0WuwikC%DnlUe53RZBpn*E}<#~nf3f17AAH~n|lefOp82g->a zv`JWbxwsT*gb@gM8H#HrP+zTWZ4C~0S6Bt~Uy=5_G+e3vnQOdzq1gh9op4an%-WxG z@TCrI@E5AtAU5{hm5_88ip;OwWAWWz_odJ8;dhsVRpo{?Jbd`@##n?9f;c%jZRGE7 z2?0i#?(gji2xoHeiisUYIMo?{E(|M7dWAHG=B}BBN)HSS+@roA z7OhS8vnYL+1}LRw+Sq%EY;Rm)k7RducVnDm|FpR%dh(AfX?6e&RnMLs0$AT8sEQ?M zXEW4pedi}7)7-;Bg>8J#%`fm;w@=nV?G|6v)is+Rs5s5XM~qy(eqH&gPW`B(iK8RK z`1p8lrMu9Vyc<$hwKX;85)u+dzIW#`v$F@kwRkh$5>trpLPthLZ4O7PrCp|I1dVHGiuxiyWnc1LEw1dgR>9#YUf!$-0Gb>ds`jes`8n55p4%P1wdFZb z;X+P-Le8(=#7{RjxX(7E&o<5V#r(W|udSq>026GVdwRzAcDE6~+Z|~cIXM&nj!@ff zm4h9_hj^2c6?7<>c5zL`0vVAMX6EKpoSm1+S6p3PIr;gitxH&t*u=zO zKu$B@wCjO}Q^L>4N1^shCTP-29terq=*`Fxk@>8CcHCGTy>w#QoV!}T$a3=p`JqF1m-WPpD1HO( ztV#cOa_4>Q$TkgaSVoY04k0Mno zbYo*9X5JX~@4XEQ2q2zul^MR2gyG>)&i=%upuhootL4?LHt%iQp{nE1B5?e@mw`{8 zJwpRR-YB&tT5QKe!z}_KrrE&56PHs}r5KLG?Z^u=rb0z6#AB>J`tVR66HE}HMWHtD z0iCh1u*4=M5jHkFfFBy0nz*E-uFva1tE(w7B|)+0-6)GqNC@J&ls3{F#acxliBtVA z(hMZ!w(utd(IO+m0;C5U5M^p{;}MjP5x_>nkDmO=XvF~3GD~mDS(g##iUQ9y>tQNn z*w8GTuqW5h&~W<9nWo(9`3HOpEh(T^fMjc>zFAxphSqVK?G=IIcwAY@3T4|k+gEh? z#*Mbg$E`v^DZw*tl_*9=;`|=!h^7F4ehGhf@JWDCPHXL#4-@kbm>iuoCfJSyBDPo0vGtYbLq6c}h2K z^m|E(uc%t0_ah=A0=uo7+8;?d{hZZ*p;t&8aZD(r$t+HmrJX_PXm45D7aCgHw<$q5 z?|2Mo7ve{fb^!)?s)mN_DOx;$1BI^NbRuJ7#=m{a#^G@1_4IlZ+Hj~{plD%a(L)Y* z=~8-OE(3#)puD_%PEOAG^XHL(fB+NGWCmtt!t%0n`AtC$4Gj~}`3Hv^8J&3d?wxd4 z;Le3sb+$u+M3a+~H}3>m7AJ41vGF*)XL}P>hm8DxL7rPX($sNSo~!<-u6>})F3SHf zdv>}0`2Ia!HbCIMfIcXOOsgia3V&`;DW#~F09&=6U)|X3@QwCbpUy8KT4V6B*5dqbs(jJ4Dy=Cnj%mqPS7C~ zw6rSc{j@m}EuI0{=<9E0t>@?EHOjO3Cv9lq6VJ*x%(&P*D1i*vIy3L-qu)u%^bar-j{PyuA zP~zCm=1M`IE#e0tXxm>(>*M1i%o5ew+Is%>ZJuI-Gr#}-I|C!*@@9=dW;%1mUjE&c zDb1X2Yb5Ea9&op`?_Sl-!WkX`DXC-a?d>(wXU?2y?dWJp7Q5}ZxqJ(3W6C)n7Nh+2 zz!tET6qJ5RX6Ia3 zbOQbX23@K5Ri+Cifqq3|Q&J+IJi!dxz$N75<~9I9b`B563=J6pEBFdu0#oto)hlmb z0_fvWFw1&Hmb753$Wyh*5uBzbct@d~H3435BF#wB^!83|({`zWE{!=hr_M zqMNH?YbzjWKR|#IJHo`I1e|#8++No9F(xJmF)|)MMr2Yytc#rj$pJp};D$pL725WR z4xfXr3IVNUYdibohY9%c1BrY8%nig_ER6f)Niry}Pm6EE5;P}wd(Tn_cj3jaq`h16 ztcLck>aYwMTkuDPspp`2J3C_!vY;6;)bDjQ7vrC(OGQAOqumTi(8MJrtuZ_vf8NXt zJvKfLbdNfAEEL2=g*oJ39F+Pdr|waf*$*n|=rE?q-3efovNxH0m+0Jr4uI$aqwd_o z$runz#>B=JIWvRzkUIg}3&Tn#kiGDpHzhVbi(6|p73K_-imf&#E>rLQ+a}+DCiQ9i zNlHe!dHEZUiH8UC)2B~8*1jK=J3;TZFcd{b%{21)`4#39Csd)qqS<9bqNC|t-QCBb zsFUQqB&}_1D(-W2r7PxGtqwa^4nimRgG^~MtFNm=XbzG5O0rZ%ljf~f|7t}294s4H zqExS5yT--GM+NPLcW_YC*FO##{<48VcyV#DRXeF8i+tFnR#SC7y`+T$oV=x>B&G-} z!^g*`t*=iB9({4qQOfoO>QTE-PUJ+~qa z&k@em{!>0wae^G~Ho(GZA))DatfYQ6T#R8C%2CWnmG>s2m6cWN`}Zm08Ce+_ip^Jl z)do{<9Jks;^m#1ylSV6X<=tHwtrTeytA2kH^2a?tZe4)vbnn!Jj*eU9Znd4Jrlu&U zgUoN}&lE4f%XD{l9|&eo&({vyot+HFR!*WBBejbd0Gh#VJI!=*u_@dgC^O9J;^gB4 zqlV%6poC$(2Q4ptl!-YmDX8iYi&dF8EfkH<`?#~<|!abr3G)jA?3RwbuZ1U+GuCmcaLXpHCurQ0f{<6P=S>@pF`}m zw{uqK%9W)E;~iqYL@EeP+~)`C6?PgFTG^u@?$H2LI(P*#ucb@-tCtS&>!E}V0}BgP zwGm`PLhf=I7M7O82uA%4c%5wTOHNKA5X&fdrhqIqv9M@dAHa*7IXZUwDu&_oAo>Dd zv)E?5$LPCV<{M$WxBOruqIQECe2mt-p3)z!=l>PZ5^#!K{187xp~bxoFXGPmm2mVOl(e*_cAHe1NY@N+w0%jiUWcJJ2dj~=|w_h zWFz=U)1p2EAtNK}Ewy9a+S)P^X90lq|L{QzLezss#$YB^eDtxa_c%ZEHZFVxOR~3_ zzOO&e93J~W8rU+#F;bi*&f*XRjCL5V3C5^9%A``z)2jiWYNg3hLJHyMhv4Faq#TAg zPo1)SXAYtS%m8v8@$`WLybmE3 zf0sDp0t)I{dBEBO0D^DrEiffvVPze4l`$JRj=+xwGk#BI{0f zOvnh@nUs#>+|Ju^Z`&tQHeUpW$Ls3qE}e)VG-6hHv0J9jE-qc4Ka*AtMnfpoFzI}N zrS&XFSJgZ4ooAxc?YkAb`G?CffMAZ#13Ur%VU zwzF$$ZKVLg*7fykcw{7v!d(NjjtnRdmMF`2D8Ikh&ehpV;0OLQEQ$-eIuw(d%ayUX zUPr)TpoM@cF)(S^N)!4kSsIbp{0n56xexOO#dr+xU|axjDl8cxIy$6f+`nbK{%eU1 zB#*rA0$U1T)Ixgljoa7*2}d;kPrl5R|HYTSIW3Gw0pirRYw`5&DX5XO))Tzo>}nqCYhufCV8F8_VEPZ3Mvy4Gm45i7=;( zjKMtq)x&?ufZ{NGT%jjTO-*ZB`pX<1h`fCt|7Qjifn1Fc6_t4QBq~fPhxkT`_0g|i zzYbMqBuk0zXW$HG$A}R^vt!fngmMyeuv*j&X@kR*%O( znVNihrU`=!(3XLpzF|RK-xo9thiQ?V&(;x2N=gc9>POC$yy(n@i+_l2E58S&czSwj zL$D0}M@mLkZz0MhEX)A*5~dH3|I|Tr78e`qS5+mKkeKMiNRHaY|B*3=MXp>-y(bOb zFhD_r7}a=(6&H&GE^9sP?CR{~H0J~V#KT2B+ZxC1tj3AXv^r(sZ&-VmokuGrsd%o= zpQQ80n&`=cjQ6lJFK^}G-caeYXQz(GGoZR$QP!loSFQwtNm>2*6D==4SmuMr6CySl zQIx7V`UFVW0Ys!-XBeV66z2P1cHtS09zALPD*X_UCOQtR)2b6pC>g^b9D$jo_g|)! zY4A6+${5AJXS(@>vx21cX>RVtd5ZMG_>&h8gu;Xr+n-EMGkBbeOG-vTR_VR6p!||= zEacAiUy*Baa&k>e?e3hzWgVS>j0~=wt)ALunC{)u00FS~Y}vEgs6u(84Kk$8t}Y_v zmv@DnhFemS2@)yawd=mY3VTa2HS5kS@~F61loG@%9&)f;9xGF{RYpQ)=H^5Q6e$JO z!?dEO!_iy+2#XR(xv%=u($JWI8Q5s6-MM%WAnvay?2{k|#WL^z43zz?Taz(EwWXy@ z;2UeEA$wK z@C7DIFsK2}4C=F0)zYF9G<+Qdbef{zdjc{qL|a?i&#u2T1DF}Ix8ui;&&1M+wvFoDd|r7r4&q*v~n-r(RMIAiE&*bXM5yX8xqD)7+3=)to9+v`LK z7;ELrmr=Hotl})Rvu@k;n+7nF*UUjBDg2KOKGB)!a!kEPUKJIYmi2dmfu&`Yd|X(F zg83_4E1)RDvjzAR5iL$fnc zNFZQExwW|Vv@0qq@YdD=gZ3?3Yd=PvE1;Q!Ar2k@6Mv686{4*y_%}%Br%!>9wh$u& z_EJj9${Ahw0~cLdDmi=(qG$UuuXpAprKM&T7NihM;_d8IR8>Pb6waXHM4<&ffgOzY zhVlnoV*A?%4ASd7rH$E*|4f1AvBlRR`uD#m-I}(?SAs zIk1_TMMYQU^*CJTzDiWx-8GnJh9^1D6A}eyU8d?LolV!ich_7Kd}bpuOn)4FrIi)0 zQMD%-911gW^ZEcX>EFH|0cM5v2s3Yq&VZB)3Rc=&y&i3&unhooew4u?n-A+ z*>?Ya4R2%PwGcAJ;mKX300DTtb;%ecDAHa(1$1BN`9p%zU{>f|N`u9s4}B(QJMC z1R%nzA2J*ZoDz5}l^m3wrY0>sJkr(QAF;aXI{Xu!6-Zw-tHEMd8z?2HolHy+xYkfQ z_BTK*KK&9bw3(Tir>Y+mF@zBkG;@fzxegxld3S0;0>+Pw9KW9Mv1TkG9G;#+)K#>wFO^IJ{uh6}nUnwk literal 10421 zcmdUV2UJw)mhK^lHWF-9P(d&hk|ZcWMG7#W6hV+Esh~wIf+Ptdp+Ie<6%j2mC_yp^ zg+$3HR}c{j$vH^Qu_!XLkGJ2QS$*%!+~?~z!KK#nEIf72|L?uO^gq_Ta+#I+05gIh ztT^S1S_nd~h#+)NcQC<~lh+R3fDcB;^EjOy@XKSzjo;wkKiMlAI3mbS4)hOQLpO09 zK@K6fi|2G)Uru$~sp-%jY|T+5KFwbKiHUT;*`A5{V#Kk|x_A87675v9TjPEuEcf5v>S9 zeEjGU(~5`u24!nK;8tx!!uOOs#68k2&fqHJkANV#fqYO34x+CjFeodHEoW27$I{NcJ+s_SZ!jGFX2 zIgi)(uGjVo?%H9oGC$-(p+l5qokpLxyfKJtXwcgB@SL-gli=C2Mhfe*4<9{xq+?=| zuA8Rk@3r2ZO$ZJQjHC6qYow>A7kaMc^|%hOD#cyJX`SZLb9XN~Ueho-nw)3TnfUeV zRaO?3(YCkd9l6$_5s{J3vwi10H>j=Slao4zh7sudy*hhWcn|Z~2cMlP>gu`}j;~oa zYjTJiZbkCgFofQMz9rp=Kx0J8x8^q2X3~<9F2mlAPfxdW+Lejsccwpi!pzFbni3n^ zpMtF74(-yEIuP7D)7o8h*LkW#8rP6+l%I36hI43SWMYA$pnvynzK49Y9B%;pt);D9 zMd8fN%lkY-vtF8PFZ5W+Dl9D2!Q(TE?#_&levNZm9DR{z+pU7AJ3zA>8Vd>zPKk@V zz|JeDX=)lhJ~81u-Xye*p6=$28>4drRTS)W(M+lK)vGTsLgL~Y1qB79_^vKvXJ_Z? zp*v$$d|o%<`79~m)XZX%Owsd`7H8?a>L_xun&G&*>sH#}##NPFk z6XC9V_Q98)=3x^xDb%S7;A@@c|$OsYg73VXYWo+(iR%$ z!U|6_Fe1t-B6@G?pB+5g)X?yHrfdrjcN(9X(uHSzc_r!f*HKBXGvfH-Yo?ym;PLVC zpwQ5y$;sQe26*SR3SV~X;V+mPzlWo4!t z8yoYkaxNM;HwFfVh!f_I^vHM{=-aCOF^n>{T^3Lqh(z^{7{-v}21ju4ZhCfhWL^a# zwEmvQ7c1=;5Tx1%iHPawFxq$sg7-ws9sc?ZG!*rze4@%{?m1Kiw!75$pWIkVk4 zkUsvd0>{hI9`lc3t)K&@yNjHMKJV==zNbCsYHZz_p^L*kc5`zJiik*k@PNK#WjNA> zQi(b0eaxaUQQgYUt`)6&kCi*3hB=?6afo;5Z0)Ju|liVaq26l zgH~&9Zccgo_NuO~?&s?2!^A`(dW#2}GZ)y>($b_Iht;@YklR@Xbu~3(0tGZaPq|E_ z=l5i}%N*NJVZ@%}^O(Iad-iO!J2!=q6;TKvJcyE$+r2p0&r;8L^VTis)|v^bF#k|> z_V%WxrnX|h=VBIEfS!9J2XPH0?zG!@dKjdla7jx`tCGB(w7Gsh8DMy2m*P)O&dy`7 zQ_M^c3*D%x7$M#Okpuo#Gd(3TWT+JJhlq+sh$=>5Hr&3b-4GBp{cmf3EcVE=iR#zGZki^^9Oi%a@;F(B)%h( zIqj+C`(F$~Zqk0c!R7aH4-3;&6dj_ib(~ZCG*2G<80>yRPL5O&0fVLAfgt;Qt-S%` z9d;aohvNC`6$I9y^6>wc%L2{QbdBfWVI=nDxHEaFPE+_C}8q>JwB$2VIJ!?@k+guFqAGuOE2c1QU+95ZOC=w`}dz zI{A()F@AFqLrLK(a2CN z14LtMmVGNm@z9~r8h+g8x;i}qAqkq>2G4Y8f63P7+W6SmRhYhoMMc!5PP>{Zm$cWf z&tJH3!OFtIRoI)z0aMTa(hzOUnKo?#51~$SnrIQVY0pwxSy@?KU!XL1cZ))o22>r5 zrX;~Qn9Ejzota$aH8i*<_!O2DBgK~E<|w|DPejg5|> zJLoDdJ*9iz^!fAWrmtUP;Wd+Ci>Xwqtn+vf{eAC~Cr>Ue&kc<5(z@^Vrod1pq38!= z0jFhan*pR@@J_+vK!Ad*dMJ30&RZLe;Z*$VYHs8q8(~}er zb9-WQV~rG_mnUP>_3kR5s9~nr`(*|x7;$?7s;UAgb#*OmZDEgmefe>{#I!^7{$zIt*gj$%Am>^gVdliIAG znwF-G$45c&@Z)Am*D~1nAeuztkUn+FdTnWHpv;#t(g<}IL?XR@ z^X7PSON%fMn}V~cTscFc{k6f(om1`EBLuHQJZJ7)BsKN+isOXE#E3RUNU`uNOD zDB9a9THO2gX*xKZP&g_;=hdsmTZiyxIt*MY5`ck*1BlAJQO$vCn4QgZb9bjM&zT#9 zBq(D}61fpXS&Xrs5xzDxCPoqNc&EVl^QTXlfX8zBr+Hc)Zf6IYX+_&(_W9dYv)wlg zLIAUesBYADLbSgEi5^LefM%b&k*-Mpk}l#92T$88eznj6q6lBEqpKTy z=gytq`1-cNZ467?sLP$uy%A>|6aB4`FpHtj!G-qy48`|t3EQZxlw36%scJImL{VS-EABVf&LbqV)_6!t?BU z#cHygrn}D6hD%;%^BqVb+-I6S4kPj4Sr=szj2l2}8$3h#4IdvLD@)6-0DyY~s&egm z%%_R$U zXG!tywCVO@;C$B%mYAOTLxlokd-~;8cAXR-d1u^7S>wkpwW+d267|2Bg zwVg2Pp!{4YVVul6cdi&;q5p5kdkHa4KOr8rP5}8&6iR607;pfIjLgjE%EqR`(c2kz5>Nw^^6p*RFn@Ib5`n>!L&cTVgrE(0 z1FEL?;{s-E%-p^m_*2+SjOi#K?ErZfD}s=AlbNE+sS~Z#fUV^KK%|yc>I9X%wMs@e zWpkChWmvW`Wj7UtmJ2<>n`60xZ!<<=b1q=Ddxn^ln0V|JASi(n)eKEA6~&~6gDxv{ z9C-%he(@uhshs25Wj@cv4+9MMy+Joi$;rLhEpVkcH5_3VEsSVwSLu)YR0dwatsYXG6tINS#wHKvSu6ReWVnED=S7UkggMY@@SG*T^W6xV6@+ zN`hIYtEF{);bb56f0}YfNG#B3GhSQnr~ncY^4jeE0PcY$K%7hlJ-&?A>t%|?Vo|07 zioA!oW>e5@tE;1fG8I@(jcxTBfV!{0Cd25N?kP!wDUEZR_kIB6LJ(wfwAW?ftaPW$f zk`gJtxL9szcvyvW$I%hKfj_h+0Zf>y1_lNcEb+#Ti-4yn@rW1b4frGK!_QKgH=B?| z5wQnM5{Cg|R71s@!8XVRbTcV-y$Vo*+9bdsyp~RbwNY9sk86O*?!2|>iPM5@2f3RJ zGFJ3jreerV9O*ws{&gogM2(T)ji|Lf*(;J`Ud5K1lQX(DQ>G7h0vrtv4;KQ!vyfW- zqEzR{CElWM>X}ejC_6MXBm_PIX%W1P@!9?g6nEfdrB9wbf)f@Jy6Whd4R9g9>AvhC ze^Ay*Sx86-Sd*5GP5OuaS#8=!hTX_I2b-UlOvzt${q~6$M=xV=0M4ZNZ{NPP=IwNS z0V1DDqty(|wV?xng(dmjyRaD>wf*a!lJ`zC1eI6%b5BJf2y$#cRFOu&(jQg5D+VY# z?#aKS>JjnBm+z}Tzi9wq8q_+`Oo;ZB+5Bw}5-7mKHUYPGp&(}9EIk0B&MWVc{Pyh$ z;NLK9iv;Kz>vFAIoz|9YiU^1Vvb9a-T%?SR7I<1AqDF~ORMuZ#D}ix9ssy&bSS=6@ zPQd4^<5N8)M*11XUuz>zp{VFGWe5&UGFVk9DJjB&g7uMhrIxhYNaH>_sdFHLdA*7X z3k@X+bvX{K&y7o0hPi=sqJ z^RGBg1_cn=id3ikfXer_dT@mixslzmM0!pMWy0{Cf_7RPN>EoRHajn zsuhE*%l%33xatEw=_EQSb;#>3LQ(?d?iTt2H?3ZVM z+308YLZ!IVSOY&8%698EYJC4J*n8tX0NR7nZ3cU-cYXNO>Xe;V8cc|ZzW1=TA4Ift zb*WvnvpmnZc<;jf0sm@Woz?&D=!Y>OVHZI+8U z>$8&!H87PiuW#0bSZ=IRT|C{8@@v4vH@bT_UTsd4ZK{Hwn(59=y#FH@PqOVUO!yN( z9=WZEY|sY>2ZNCZ)RcHXE9)fW8KdtXZU@(1+tah;$}8Cf#X~VqpR!&pdIo}lbO zz>qK~{(;gZ1w}@tfp<_~EVi*c5C9P8Ha!RO7X(VvWIHHh)Ef;oC8hw!fN%iUbJiM_)e) z=*vw4L6y|wNi#Vp?{N)KNCzB@OP4NTaKJyTY;9Y>s;%;32R8-mB=jkO+rV?_p5`Hr zmvWdGvm&n2Je*sMp0QZ>rS(Zut;^4NUSI&uRY_0${7gGD#!~;SYi|XvJ!t-6YmTs6 z%WJph?U@AcgPYxf1!G<9Bq&UN)evP8xE9S|G6UBF8LM>U#at(XDBd~jeJnXIPjB0{ zZKzXFGo*Ft(xdJ`38h~venF`kG=Pf+9ip}?fIjk2O;%G|n;^M0jUvBxd;Kf6{9l0_ zA=1?$>dza;njobBJU!-H@m}&gcVFGBv#W!F8iP)^^fN|*oIj}=Ff4LO z2OkDC^uW~uC>jMbKF3`KF{A(Yq&@zvUFpgt;D{Z?_p)uf-o-+7L7y;eXA?Z&pPG?z z1$GgTTU!m<F?+dNiA6L%q_dC|+fp`l+l{}Ar5$KIX zFoJ?Zfus1|!ekU_k!kyOejJ|MI?RtqP+>LD81HSZDv6Iy3I|;U7VY;)V}d$g3o|6) z9n<&F;{P?G80C8BwN<*gR<>nSQBm=IL(AwvH9-7~!ELQXZ>6xyFDnXYL^b*H5tFB< zZT}YJ%$9Afm675>oF`{zYXkUiz4ltm_i6;||2BT<;)M$jVbsRK0(j1S?nw6{sW9J54r$x z5=7}`t7&Bo5Sz-%%Iauq$Dz-qZ(z_aQqucB$8aYB%tL8-6K zRjcrU8W*1 zW8ltoWZm?eUs#~7j6|mu6&Zmu2Z<&84H{~I;0GKALI7#^rQ0T@9tJQog~i3chy079 zSFvu3%0~IN{NA7m{a~zib#=|w#6gJlv9Yr5F?o&kna3S^H-S6*qs8G%ceDwn-# zH?~UGrq6=*!jWKrRo)#L9tP_h(sxyb&E+_dQBm&euqyzi==b6p;D`csDAY8yxY!u& zhtoXZHp6dnp9U*ZKJi|uUOT9wzrGo{LDV4YB9}N`2U1^`sg4BT57F2 zXbAM3>ILK{!HJGUz`|6(I5>_0f|V2>6cm({K|o!pwzjtA3mat{OGdy8Y2j-tW3FIc z{Y>yq%-k!YXHoU+AZo+{$s$7}KwVlAhQSKi(pQVcaKD%E&2Px1t193qL-3#t1TkKK zkp2Tk{$sHWCd5qG@!GofrVpHvSjhHj=R?i>MZT>$KA@A3&66G47p1`9`}Xbn_j5Db zki?g0jQ@==i0Na|q~|_mo8t}&BkTrnT3|viFwj0};68)15&~iL#Ulgx;IIy!N7OaJ zMgSijO$xwS0diI(uwnIYGkTct>8^X)7=gV427-F@TxusYe%p4H{I`f6@os%4skj?p zojTip0Z`|=XK4gE9;3(y z3xlR8=H_t#`9Xn!7vK~a9I{fcA8$^p>dnZ=X!#N@X=A)_9VkZ=kZK67;vqk|C&vp1 zZ=g6#Lv9Lz!^-iv4GTl26XHiH@Bw0D&q0_^k>jfe!f@M=dcBow+6q;f`%48ARKWP+ zSRZ4Ux3}9IQ*&KUadescRSMOeCUrU{ci1R*OGxZzEbeQ1B^nT(+H5NYide{ z7$g;PxUsP@)W4_>6c}wPU$qc^^R{AA^q7SFc`CO8ozt&r5+)i~7k82%g0Q zlzr0HAZQ6D%@4LSSXo)!#skEH`!02Erg-5QW(*8@8F7HaGETSz7Scc~1I~+hSO-C# zdqC0&i5i+lz+#~J0to^xpt8AlXYi4&P${A3AQH0emW7CHyir3Tm@*Q$ICxtVcx-JA zNcEZ{-W7j&trhyVZp diff --git a/notebooks/figures/05.03-bias-variance-2.png b/notebooks/figures/05.03-bias-variance-2.png index f682f261e435b7b219b0b4075da218827a39af91..995203a80cd12b40332aad316c8d541f2720bbb8 100644 GIT binary patch literal 41056 zcmeFZ^;=b2_ddMn5CudUDHRlu6cD5ZF;KcwLX>W#H-bus2#BOecXui!2#5$s2nZ6= z-SHjkJm+~nzrKIKyRXZ06!uo`j|W@NXi!yV{Nja^^hx2kZMU?<4r3h?AU_ldA0#C)dXg zW{CA;Cp#-!C#z@1%r0gQj?ZjunEAQ+xcRx5pE^0&iSqFL-y67X9n5(I&+K;~2s3g| zR$A?O!qP9-=Wo>ygx6NncJWy*zs2=MSp3hYT_+2|zOTET$t_p&;uG=xtJoYWYFfD3 zv6^YbLELAiMyRx;bM8KvzsKx<`Gx-*gM0CtC-yFEai;unm;3qmy$dY4J5+l&P2W^I zCLfB(v-p!Sv;OC8Lizi%pWP(c2D3%Rxk8z$i2R~`d} z)PLWv5k~aCi*mN({_m2}CfNUddq?O0e|c8c|F4^qb4Nwx`~_mXo@B|wU5R9$6Opm8 zF$>Rvdr@qUTLQ?P$1@u4K79C6=0j88NBQk>^S|HI3D2GtH27%ocy+v9>FNc15e+>( z2KU{Sv+V5bxOjM22wZJv<(Fl|^rFMoyzj zpJiG&_22~&vqe$P{WP_s&t-DKRCn*)laA%qR~VC79xOBr=V?6pKGvP3>4ZlSLzQw} zy9Ae;n>!#l_;a=69D-cCc8x~F;WB3A*!M#>1`CH5ZZBFn^mf4{J}~Pfw{Ts?I`Nk4 zxx)IL_to)zMy;)_kH5a-Tie|9`}pyaPPxTPxC-l~OP@`x--&w&iMp?L5&eicA%)dT&_Rk;bU`i^OXz)5fc~xJu_pr@+88Sl9Cb&u^F!m zZ16f{g*|9!Xh1L-592@e_4OrmUt&$Q(9)?>QqAdQF*G!+s;YWdEqJznxYQiZfb`Fw zKa&%uC&E+H)9YW@lZ{SKj_3O`N%;i?Lfua`iaS!I{l2Bjo!Q&l`*FA{L>~PZJ0Od0 zgoE4r;4gcb<lWG)kWA_xf0PCCse-{tO5DGB=kK{~SX=ON(rMPqlF?@!tM^ zb9eXID0am=($c=}`mISFI0WZX3>&@Ic6MHchm*cKcQNSaPp#1D>$(*rzP`S8PENA$ zuzZg{`E&HNsQx|TsMde zJ&F)o0sP&SU;T>>1JMg3q)ZYaN#Y)#T3hjc)w;?%IhD1!+;Ux!H8Nt>)6?TMZXq0N z^lAKF?7jD!V7t7+Vt_c9nn!~`1G6NpQ{!|kLm>{EhleMGUicjGOKdQvPbFquDN0w1 zoc^jH@73?;>y%?7VkdjkVDJlXwm3BljMgTb*VfiBwY9fUBe*0V_O!kSoaXn>Vw0am zk8v&#%cbwGq(6vtGC0jv&4fUOMNLh8!*Y-sr?20ar!AlmFZA#d`G=g6{1rOXOtzMWDSCQ(p8m)pzZ1p~C?C#<6%qIv z?+jIn+vcpDvvccoxMY|g0qH{BM9xlc;w@?k35m7s?bd_sMP)6mfH(p3PhDMSz%W{< z4Lv^;PegNSuC-7oHVqHc!aLvHcy_*|q~yoqg9i`DX=#aUZEc@>c$mN;U%h^P;N~kb zYxY}3iYFlPCeE!m%kfsl}U#}gmHkzzY zwIZ0xarZO7fB%jS>&sMR`kExJd%V4~JW784JT@Ae2nbAm)i~27hrWyork9vmF=Po^y8_s87xbE-lOE_I_~pZqt0<$G);>s#P^L zsk)Umd+Y5?xz?o;lD4u`x5)&RDA*re`23o*u%Pr!p%?m%w+ngEvD zuhd4_V2SHKr@KB=oza|AO};p+%*;|p+l4;)CBHm&S18dx!Zu@MVCm<3B~R;~{;Daz z%EhHt=<4c9EqSu{5xwnPPa;LK=f=Hg>zfXL0uW|KpCfzwqdj~3zu&L)6`RPTo6Pt0 z8?*hv)-(H+F%j|$7cM{PexE*WyF60<>DMp)rIGRndX3)tb;moSpW52)=vCQC6SBzK z*c5=V3{+LX*_=V9IwCL05VEX{*K^VdT3nv(P3AE+Hf{mWf%J2!1uTvG{(}cE$zBdag zr-1==$bWans_btkNODmpZ~^^XwA*Rao)D^xZ%KAFTUfVuqb933fa8}>8M zorU--L%6@cRoQs_upT^VvE}#Y*K)?jsW;uXvgUteN6|=n*SXhA3>EpDdOx|8OAtDw(>88VyBB2*j@H|>?XO)mJ;L#@9nkx;bCmz4&<}%4~u*o3B8*k2bv$C*AkJY)U z!toPALRg1*5DcajnVej>KF$pXGU2%yiZG)$P*G8leexvZDmOQkfq{YX%2@T(Ycd zQ)iCPf^%GeBU+HXqi(&iwWW6Yo5!Eb&~yEzot+(7b#?WEbs1hN2mA$f^MsrBuoo@z zOkS5?`1#2xD@Pja%0=U%ZsI=7p6tnr1Y~7h-7X0Ve22jx>*F4)&losaS!E#mK7!Ag zCwpaVk94xzj(Z#%j0i9lt*{`&yA8xx_Tf9d&e3sc2lP(}F;PDV5 z02AC1TW_JDYlmE!a|h`wG?Xm18s-nRZaCi2{k^b|<2`|kj~_&S>5iI(BG_MR?P`Or z89iqMlRChP*12RKgBkIxtFV}_069$JB!*7EKi~<3-1BtF_4g+{EGd8yhKtqX?u*y^ zDy((E3un4wEswrF-JA;M34%nwU{xw~hKh>}vSWeEEml@9E#o>~^B#u2N?XJ2A@)ZJ zWI{qhQ-FrlS3WMgT0m&vu-4?mQtLZ8K78rt=U3x(pm#f2!mA~iry*%=7 zm)Y4ZxtPS=%bsr!Xy#hUgJ;eUg3y3U0s=;l54Fh|5%iq(3wMt9_-H#!3$=TTz9V`NX z3jo|~!GNaN)Z4Gm(OGj%#AQw`EO1oVP86KfOnK-!_cBU&W{tCf)golzr}-OnoZoj0 z`sa?*6cf}VCD!AG(69g|J2d>nn&YI7T$@+|`_5S%@KAd&=+GfeL$7ql8EJUG3@zJIlfE-q9dZ5cUTxIe9oZh}*-NhN^_G z>y#-OW(tYBZ%LtL5)?$sf`4<5$_a3B5zK*(iHQkkx$dZQo?f-ev}jw{#bAh$q3y#p zuB$dhLXG>g@$ZDJ>G03e`2&Vx<>oFJZ2#_jtgNiOx6#ETSnzP$t8l^N0zG}OLB0F4 zqpxap<^UA6svWL;`t<2rmhz>l>gvZ64PFbo#oUm@WFZdzUR*o_yOXC|`Ka(XAYjYv z+4`rw_38D+!bVmR5n80ka)=u$E~NXtAWq8Zs+x5;x%w9P|0L8JvJk)^IER6YQpw55 z(IuPL6ks9TdQ})eA(rCaPEI%c$q0#v`l<%eoYL7#8NHFL3E=AC`x|`$>R_C|mzVR` zX&IrggWS6<>FGmPbrlpy7{%TFAAf%JtZcVmQF35- z9PG;&Fo|fPyz|8oLY5nY;Y^YS)8bXI;1DKBMr3X6_wBI;FZ%vW#i6IupI)BfEbmh) z4p^|S0g!0CxAt4B*5$elz@}Ui^{$$Qs%ct|(rdgbrlC9JEj|2;eV3jU=@ zulnQ4D;9pius?EV-vNZTyS`ORrV$b>ezff zC!R+;qqb;C3QpG+N}t&W{}E1AOqLMswd~L`1yuGgspo1mT~QGD0b^fLM$*c!C3xu83xL5<8LX_3p0@IWWiJs=F69H zZ@DaGIa$v*FAknPJs4^vqoL8tWX?%-SsszjR+|F*r;C=!X%6k$P`+8(cDsO))m7+Aq5qOPPlR+V3^+!T?K0@A|l8< zH@k)Dd|g{TTsHpP3tw4qgS+QW)3V_9B#EE# z@$uQ_W4L%RG9e+4eDjAo)HmNg+$PA=ucb0+3-JwoIP6CU7`zqW6|dWd>GoV!W1}P* zUG-~Snt_0Tc+_kXE{-qd@*d8d1kkA{`$^Vy{o=b2c>18E=F%!c6vekMxGeotHp9;1 zF24J4n#*gd55$l10OKVldxSdyCDr`)nyTIMh~UxDX0KM29gBhYzFEHbjhv*E?s(y8Kz%58^5pBg z4}Fds;OQpd162+)#OEm}ioFh9evXcQ1oL#Zv4rxx`!g(k4cN13F!|?miLQ22Eks|T zM#n5=1MSdXRRPusd3yG1Tt{c;Cx96NP(Drq0>0@qPiEjYLkR@aQ}I=lZ32%@ly(N3 z#An(;1|-4R*XJ(E7#p*mV-yP*GVnOdQ@19Q&M2mD;B)NEAnHWOYe9eVQ2ldwWa30{CpkZYsRLK?KEjYrbx! z-N}&~)O`35i*nbiooIz^7$6w{e}=19?SKd9p&f$l`ci3cP83n8d2idoKyEQ?ADTxT zXTM6{zaMl!v$C=R;Z_#HRE72Et9W5sw21myWq%1O5w)3Wc7=B-0<<52$AT&s{UAV_ zHmC|;LG?VHne6?ELQ%}OsYxnNt60V)8Bm}J0EE3c$oAetQ6FmzhGLT_=P-LKa_s{GsE9?YBuoeKp5eW$>BQ^=}aG;G9KyMS1 z&yg>Be7%P8Hy=ROg?*p!KD-V|z<#Ea64JMUxN2g75dFejXvYO;3FLf$WuX!0AHD}1 z5Ae#l)rLcEMEjYlCUgnre->Xt2}|=NH+(<*v!7sfaIZi51L-><+=hY0K0Z0xM?Y0L;T;Sm?;ZWNB|rnP zaPsx__4&bkdhp$1ivf;M6I@)}$st3Zmw;Seouz*jcJY=mcoSrsA5|F}8=IS`hyR(I zTeO;h2*zhODFqBN&c$0UErzEDnjwthbWk(q_c`w@44i?#wZcIJ6&3M9Oi&cpukD0@ zwGM#iH}E3B9T5Oz^d*%%D!LPxkpq0s?^U1ETNPHrFQ9ZnF9qdWM@L6fOCSYW6^U(r z6`223D?C`BuRCK83;sPhiGkP+)ZfB!f;%vNVN8-?;2==jrvSn9d@;Y$Ng{Qq#OwhY zk_gT*D4l-w-245SZWPLFTtKZ&s*2(-p*HypHKKlJL2fsM+x9a&b(mt4_9?J`dEoO! z|K61~ebg34jg5nY);W4LPTAj?PXF-~xFt%;ms<|8LKxSruy%GXG$QPDI|%}qL2(6gAa&X21#!QFg8JnSm5!wQ8)u(3?;(R$FKL; zZ3EN)F^Wbw2*PauYrd75D_)K6yuWL+zcHf)?CxNmwjUhQ6d>3Z;R(-=0u={P8sr}5 zEf3^UqiF+W0pViclx<)$d{#es6GWYf$H&L%MkRrT>FDik2a<06(;1$pc~D!?q0YwB zu!jwZ^bRn$MbG-#{91efF@N@0t$*DbO#K;Ziqa?DF915)j8*wUUC9Vk!@HaItPqq@ zB2~>T0W$4xV8DQSbB+$Td8Yc0V^{-q_Vjxi5rDAQnMv-%_3qm!H=JW#`oViVKtY;i z%Z>R>fRj$6xA?f*+(lDU)2DBj&VxT>^BO>7%yEiFO18Y{@n?LLtVStWAiz)`fVdOb z%z(a+4}ISQ-ZXl2G$Y7)X=xf`fX$-4JNrAH^7D|+eay0 zptzh?#)iipvcM%cn|{84w=D$Y3lKU%Fx4o~3p_p9Z5*(vg{`+5DI-G2sHtDWZqnDf z!FAFy!Nh}UEHl}P@tXEtbSME^7ZDYON;dO0kP}n&!128Wy&=K>*bxzt`)y5)?TKO!W^-M zK`%qI(4ZC4D(~|(Bk0y32yiui;GhZO9vX8zClCdukM=h+EcoF7)ITRAcfSg_j9 zqcshhgD5$9A+&6*P8b$?!HJOon*Pe*jKNc`XP>mi-gh%%IN6mB!=I9WtJaEKH#kF_$HW(>E9Ny8V?XOOaNck zHa2oLi{TkmDP-2jdHFg2?I&j$pzX}U!b0hj=QdD=fMqDDshMJ8$p5xUr+hh&V)~b( zmA+UwmcYc zB}}*^evK0rqZsn(v+v{22sO21WeED=OYq^%`Myh#C+V(W{aIbLjWAL9_0Oa7VPKVx zMtBi;@i&NQ_&)6&M!1}u@Jr!f*d8Lbw#)!QO2qt32q31>333lohX%Z9JG>?I$}+hkNzHhM6sCne`c~ zalLSBf~fy$0k(JMdU0A?rGly2tcOkyeWY?VFi}xUlw$U&2VO5;bQYu^S?;aXT#O9} z;KDHpK4^Y#9Gt*l)Wg8cOJ?VSf3StslgO!Ss6$+L>@sYxTaF#Wg?0aai0efuZR`#u zN+}=>*S5Ayu>%xdgkvJF7-4siY+W?(>8Hs0i%U>GoGHP(_0yA@8(D26O-n=&-Hv+RH{$?Xm-o+ z`3IZ!E3Bype#LU#d=*&`f|{EBn!+wNMRPVquryI9B0fhfLxnncRzH!W<5elW1cmc9 zKM~J0-}M5#2qI>n9DvxRUwW576r%9bPbvysC~QA=*u^L&Ob%m8+T~%#-Gy8!)60{K zXO8|VIvnBGd7ZA3(dW9=ZCn|`!AA<~*(6)&g=5k`M@C{)v@5+fHcZK; zX7Ts-zmTqyU;0y=<8XBITW;)Fdq2heFh!NSdI1IY-u$KE&6#<^8@A`_wl#(uUcM~R z{L-tqLkG>K1hH&4PwQO;LZfYq6lcp}`hjfKW%tVz=P_Ru_P=`dXOy^F9yqxjSq|N( zyv~K2_axU9oLGdX?;HUJhC>%yuhA}x5bc3zTM4xNN@C4Wxvp(Q8g12d1;38Dj|*F{f3?d zzLjn0=%*@wyi-)nHPd9aHb^4T=t;s0V~lR@>4>cHNOM_!gF~1kigz^4 zC%Sp2ass>Y2wSfvtyZim4VOloZhlnL#$z^QNx!5#dXf4%b_`FfZ+E$6Q`*(-)Vy z6uiAw8F_6PjZAQy7Bwmo$@rhr-5`Aa_sT`#J)dzOL;U<21NC1+sjR~VEVpmOlG3s^ z+8&&j8UMIGJ%f4kN|c+NJdVKROm$N6%fH6KZ_e)r#70HUI+)Lur0GmFG(}!2IUtDG zU5PcsWF{A!ykB4y6dW)L_sNC^{UpGct5>h`&f912uSVAWw^wf-TN~`hGx99RQN}S6Ar`Fh8-y?@w5V+jI}xUOP`FyW@dC6b@eJb zRwpyr%}1=5#O!YNN*Ske{Sx|P9~jUfMx)DH!Ru`Gdxd*-Ifzo~X_n`N*RkN*sO?4r zPSXoKhlG>}vbZ$PYgkk~G0~6PRCIKLwzi!7-!^{0PjOG+5)eSU)%fB<%5I*xAzWA# zQf%iL4cxS4UNA_lex;rKeVdl|YIIF@n&Q%fcmmSFhQbBU92I9N{B!jlU0z+BKE1}q82NBhTZ4U5 zH~V5PaSgXw+WqfWIPSCEo$ZdonoE`APl*$dcdTvj66_kzou0mA=&W3PNh;ud=-DDS zfwjG9Gl3AAg(^sbZZx`2lfsK%x|9cEHSEc-jlLI--7V1-jvEUOi&=DCjUj3%Y`_+E z!R0o1OR1Z$gQc1|m|w4cPf_tT*{4ZLsT^FTJ9qFiU$B2P!6S>KXTlO7*Bt8Xx)b)c z8JdA#q?SM7X+O%(Rj4&yjgnFJV*X&sq<+38qtU0rHr9G&f@$x>WBAZ@&1iT%Cw0-2 zGB&!=JZI-*&5wj%tAR4{aq;dM zQbx6v>fBC0f+p9AFLOs{-Sk*lOB6z`=SVV{1dp^L`MO>5dk&7iqm^drYWBqnYY2ZI zCG9nWnw1~-Bzksc3C|ADvLPm46iNXt5KyjOXMH32xmk8$YB7b37v1w@sJb| z!!fj4N)aT_-@Gv`R8Tjo9Um_-f3o>Rd;F-KsYJN7r)7d%SXg_i*2vc?ys^=9RyRAZ zW{#UrdB-Z0?n?5lM&~nCp4vTm;5H916YdZ2)sGLmFgG~v7q~h{pK|M6?H$UA_ACH$ zj22z4KWIBpTPd2FC3N75xW7iA0 z4oO7A+9cSIU}iVh%R?mnxX#UiA?-`l%mE}2uE+U0U*wy(^&+OPJ$$EhSfRl#C`buS zX<#FH_loQ5>*J6T=0P3W&;J2prbdyGP}r7eW~WHu-x&G%vtusP&_`c_Vj?4y;cC&; zWN1dwlTZdi`yW?n%j(x(k-X>VIZ2tC!XB$)N$ysB7;V-v-S$O_G-9T4eB7ZT?3U}F zgAJ_a9QBO}SP>>1PW+i=uE&!5zJptyprvWb+;5ilnmEZutN1*w$pdHYjJ$_xYQt)U zGvfPcRzu~M{1JSwsSV#^L5y-3eDh67B;8}*pyP*{n-}FpapIPC%j6o3WHh197+W>} zOs%k>*EKc!k~Wlhiyv!y%(1C6+ARFUYa@`sa-n?a&n2^ylMV7M*Kxk_avBqSUP{ox zK+Q39wVjP4TwTo6hPc`F!y}+G+V?l-x_^;Gad5r$ZH5h{(*!v9!1!!(_n_Tb!RDVY z7Gwy0NhS6Ws3bo_?MLE$1l8&^5T#mm&-tvZZpyq8K}A|1HEIQM*wmba-ViPgHy|4EKj|>{2 zB2T2k86EO4>bZX!c^aOs#6Yp3?A7w~1<5sbb^>U`-N{E(IHEgxdNfFhADTY>H!kB! zNmP0r*D$cBJfNQ3vlrQBM?YuHTfuz$-h&4?$leb#smm8T74dp;Biyt%KVQqiC5sdR zJ?H!gy*1?X(B<`P$lE3HU}T^ZmXZgZWoQTB7y$@87lcb-od%Z_t|GhcsLPnTx;p4xnf-8#@XizAQyG;`$=^?kc=lfn zDiyjPSFT*SqlmbTeRjlAUdW9pD>lI7>o<`1>P?w{Q-3;%en!Bh-=wzy195Q?)4<#7Nk%+>lJP`kys2 z2dS<0m0P#qWPQ2yF$AQTH9Mo9yiKjGW7jW1!FQ15+eX!vgl!-fjdXtfdSk&YV2_X{ zj)D`z)tz>)DS%wvC%-#@+~L;kpxi}xH0=D==PXl!*WvC&>>_7_ zEszA>kF6fNaS2vr&F|S8{kWQSjVLqvfAG?ik?RqKjVYK{|3^~GiDFOJyu1yG);uR5+I z)Zq_sit1FXzoh1{^*AUak^THB#PuxLDqYC+g^Uj^R3m?8u|Is^FP>YeSd)d*cFOF2BcZtlB^m-rXR&>7wAhm*XD)<_$-3ZjsVX2$UyDQ3mzUXcFudG(y%! zEH^%v+nZ>=VW1^CTBVNHXb(roFKrFMX>MSsT@kdAik~v%9_>J(S{pJST~HO|W*f`F_;Q3=56v z{iCBUpGDJNYsIb)sVt)f7BG>Ai6eeJ72FO4~-lG-4GY4Y{C=<8iwI1PvAXe1k!7DXH}rRKgL z<;^1a9nwzf??D3VmFyzT|NPo4yls8@{ivF2*!H6Dc)jnJsIDBzvS>1pyLl*9SVztM z{c#VU{o1wnqst>#2-w7&iTBzi{~#}GT`g^W?gf%)9q!<9>%U<-0Ryb4a5zqtYucFM zFRFGq`?FNO)cT<8Zx@dlv;7oqkz=M_g=wII5!AXZEgjQ}$>)x?RENDm+Co*Nfx^^# zYSFyAD_EPeUzoFWD@&IBBc$6?q?;b_sC$V;gS$!R7HF!6J5f@8aXCwyTJ70EwlCiI znr!1Fgvrp2_lu@Mr0;l&^ufj8fR6idR~n2U*U7ZLEq=+ey?lm2gf-U(aVzxRmt%`k z%c+XR^Vr4CYQ3;F(0b>}m5sg|?ChZf#MIP#t?jv-H#)@f%K0-2!ZCdIviK}{-+)t= z1>z96{g3X$&=``lw=X7>34r_;41X4#^FVR?KJlp6hsyY9ucWYXPlk|`l!chM%r-fm z(?2wnjQvqZA!wSQ*0uIVvP@s{MgT5!bT7Tbh zW)^f&JS|}t%@!Zr_kX^`$3n$3DE6q(;C;K>6cJ0tqk-|5vKuT2OBiE*9XGo?p}ahc z#BtfeVphRJxQf$)nwum$J4+bTke-A`1(~9_`p$NPmkiWNEs3{AdO;-xHL1tn1rGnx z(mE;v0+zx2{;`!7B9;rpETXR59{LS>+xGq6{R6^>jyrpY8djNnI$RiTWmF&4@A?y- zD>z7)xhQru-2V5A*^P(s{_}$m13t;@msjkbC65do*ee~D`buSpIsuFSGm|r3RW-!L zULM<{*P>;(bS{tDn6noa9_{M3*MD8=m*>*2Q8Rt=L_=bwB@on<1v`!l6!hCG*JURf zHat{SSV62ym>wGX{AX4qv=p*VYC0xCdD;3s{XuJS(1b9jJv0)FK@hzTdfQ;oXQJ}& z`dvT_!O$1VB-b_9etSP1`1Wj6F8ZbCS;5awKk^*t_Mm%kDO*OdE5bn>0Y3ZF`04gl znz6n05?3}!Lk*Rskt@0EYU0prbzrU&Fvq+mH4`aS$@a*jiuT7H{s>~z;G)~C*FFXz^()w41&?dJps)f39h zOA0m3b~jCj$98jLBSVEhHy$4mJ48ZAXoGYHnh)$bT18S7i`zq-m8!`rSIp~DvI>ZCt{}|L22pAaC;1X_FSc#_1 z5cht&V}FK}tiN7t3>$&MSP>S@O(pK&ut5(xg|cUt{DS&3ecKtMx;8fcFu%^%9a>^I zcWxuxO@Ge8F2avFr$=3fBMRH3ePPHzU(_|G5bw;N5RzLi9hmk$;k)J3ZN$Y(Hb0`i!sw7OIt%4KvW?noaX% z{~U?A;_WonH7X=zHhrp=_te2P)-d-?e*;mBxWZxw%kL{+4m8 z1BB+hh&kMy`N~ip{qCw?vGPaLZ}y8+cKan_v9+~aMBa66_l%;%HG-bJ2N4=W@=fEO zsymE3^DJFIg>7(G#-p2)J0(w840EJuu-qgotRlZ82l*z&YR)97YHAMmY^Vc}IGb<} zb!BxEs}G4Rj68)`g*6|klD-wk26>lQc#eCfaUGvST7q@1I_Ey&&zEN$UKJ2g{5jxQ zN#9!*#y#F`EXrN>_*nCEep1@)?DA-r<$Gb$AeUvbiAtUk8k3TDbYwD<&@HR-*yVbx?uM1xEJAQZxX|J~HbqI12m>b_V_wX2;&P|~N;WHHzR%wv%J zrxMmWIdQPqaUH)ldZ(+Ni|DMJPB7KH(&%Lk=VE1z7=@l+)t4x=dc_Iy^oVwSj?ZX6 zDL{e(1Dk<8#X_LAdVViidm>NjHZ4v75j1077JW)CgJ#tvw9nCIPjWI7DuDA`YbJmh z2icEzLXi$%P|c2MEf=HBHRv_d*M5PDDvjOIOGu!BnLiQ6pq9p}DNuzIqpEn4IW`DE zo1q28XF13fl~|ezY8w_wNhXknLarlx(wp>)89yD=+sz>TLM6*vxyvcjR7)V>K>O9u zK=mtZJfVX)berBfoY$h*c~Ju->^HJZCt=PA;0Uyv@ZbGOI6LDw%)yCi05R76u8c>C z7O!I9myzX0p33N_DCgPK)JXFVe`|MTrq$6~5BO`rduIuK+ z?(gqoA&g?rjW%{7917N^!$1*X6hoW> zA{;CP8yova7gz#Gij|U8PUAn%oST4$cI@)xrKPdB4eA2s=bu8i<9)3NsBCgfUyGcV z0zE6}@t-_IvU9vKCGy|DDo2`fqs6ZlmTCUby_nE{$c2)dGK8oa6|}llF3WU)r26XI z98sBpAnpt- zqGEApV*{Jn9J_QDH=W8x&5l05A)y6!dHg@IhY@028B4< zbFZ%#2W=!dBV!oo1@P--)vgR&SepeprMTGl^=ks~?}siu;5r;p1~Be~0No@ORsNbJ zoale+lZH`}Nst$y5<5^-f=|8%MG+muro0^%)_Um4e+Kq>DO}Xe%`Gku`z|3W#By5r zac|KbBm)T0(q}-SINS2iF!g|rvNCyrUiAwwdsF}c5@xUznCjwdx{^wVHXbS~D~Ekt zfpP-1`0(Yq&fZ>mxK%Wz6!2%D=d zW>i%K=W$a+Bn}iCYKov*{{VvJSsQ%thsealv*{{C(3Sm|#0eBJ;$%>no0~hpj-l&h z{`P+^;eL&S;}a;0$S5ga!ZZ*LEEbi8p;}~cHT+UpHFgkb)6&uso;xSxsyg}iFA)na zH2i;*zMu`3z%dl|hqIpM`k!kgu1qwB!)S_LgD36FmoHKI4A7}$AXbNwOGn}GfIL|j z7a{QEZc(J{{(kmkXd-eSwj@74zh@H${HCB}y<<%fhyOobFZDk7&cJ|#>&lofysKs; z6K3~F^a493)dVncj>OM_zhpM)>gd3L=k~~V)2ZM^lzTUTVBx>kHv(SuV?ZLDQCtSn z2cOftlK;z>+2*OBP{bejs1&1yWf~OM1jE0mvfhy%luW4KmX)D%J$Gy=XbtqwODRxA ze)z{#e>722Q(t0Z!$*UX*P)P=b(Z<-C;!y~Si_*?i?ua77_EHc%T6BWZ$bPV%-T^H z5A+mpv_jf=5imp2V+}GztPa}GT)$6fZr`TGeGhc$e}dExDRIv|GW6n3f6t@x{X3y_ zztOn?(BWz=-92Hjn__DGaH=ccO8S7Ts+}Kc&jCsNZr@i3# zH}!t!+}s>}xwxqqB`4;eE)o!*_{@TW>iWwc7p%Rf0@=T%KcIH*P3_$PYZ zqMc5fu>VoZoKX;L!TrCbgVGZo7(ESX9 z8jI0T9m}+vDCO0Q|1{u%Sl9Ob{#^y)ma#D_3=!3g%oVpYnxx#5rRsi@fziB{j9846 zWh?hYMn+=s@Dy73$d8VWeg>ADD8)VGKWYs~gjtLa6csf!5C6=}G(+kJoGJ^ddl6L< z@&S5)Bt;MpvN&2%Gyd}R>yO-pdmogVzI@4+zKns6whE|w$|YIlGho~dh<u#zi>YK>f2!z8%>8XVLRS1SEL#1at~7YMq|#d5FP z_YiH)|Lsz$JE$9RK)YLI_Zxd-V`CCd4nR~2Oeg_K#Ot~l5MXg#T>PT9xA&~gEBu!- zSdh|8&CTg&_Q23!rmnyRPQ_9Y5qwKbjmAIIa-tNN^O|gD@{t8q94cr-HvDE!I)DB=2yMC{@^<)G+NfmPK0u}d zbDg!he+A&eom@nv8_8H*C1GdJ#OFI(R}N&oDN&w~MFNaN!;nEr@zQ5f$rdn3q9`Da zb^m&MAKFc}^SDYH8ZqMok{D0iJUCpaD%{yaI~7T^_?tzhl)YMe;s{;sGV9LZ224zV=X$s#wA?Qkx9Rnh}0euS#4p2mytUP%- z^ZPdzf}c#Jkgdkb$$17U2KQA}39LUWD>mPDBG&E6o|fQ345kB{3S$%xLYHYf&ahg) z%Sgqo7eHl)k$i5=#&&A;wJJ!$?FgB)# zKI_=SzD}TGY;0`s3z1GZc9rZr<(W+Atu3oI>v|Z=W~&YE(d8c}Mf}yW#-0aF_F&Bs zj0~~a5RsD$UX~#Q9JjqV#NrPMwR{k`D5gR?GjAum9UhT3$pU%$;30yw!B>P@45O;L zvRV{w1k45^D1=S1F1|1*LFlv(QoC;~j>RKrFp9i3Gdr7;>xHJysi_w*DR4d^s zf`zpNH#<8U;ktzdF%KO|g9}C@Irjv!{QPi`6sS{DtXcZ6o)XefNSSi~Q*I2rA;S&~ z3=9Ygl7WFE7-oWafr>%PY$q69T#nvdVf}sufDD8=DsjRFz;!SSL84Rr;Xaa$A2;~A z{J-AG%YOxwejfnjLD&Xq2goA(K+TLs7LZ$^uvNJ}^8I^aG>3YN4Z@c!0C4K)>hg<^ zkCzUE33DPS9O#@cWN~2f#K8-{kfT2TPwr16V8MO!<_(IKfVaIGeIEv4jVGIYVUp(d zaly`)ZoHLoJZx+P=h*(XY#J$`(3m^`?ytZWo%j(6Y>h_24qUS7Gr_9iAJxHur@KHE z4N_-vxFCpeZr-{D!v&0xoGbSvb#l~IutDKl*w0)8A2F{&CT^fiz<+=gEKJ0fRnf8;oIFd`lbqNsr_p&E3KnWy*C2gM!-|xVBJ$yslJc$J6bWYVeOq0eS^g`5j+@M~snZW?%R^gN+vVYrwG zzID@m_Z$EZ3P<7IA`n{j>g`XGARC)A8>A9O)k5U7>R#`#ND#Cto}5f!tg0>m?9Sq! zHPAE!@Cg!*(A`@dWoq}5zn}JwC(2izY*I8!z=*eti#$?4@BFw@hG+57Bi*7!mXBJp36A7(tddx{?MEI?Qg!fANq@}s5 z75k$pxiHuE7-8$(<7w8`N2a<7^#AMe|iI=A$$#rosvXSZN!aaY^57cNOt+HwwX5-n9%TBk4yhX#{D&{ z2zYnhLAsL~`8GkiP1SiJHHHSx>`(0ay1inhqM;!ZRD;Ue+C-(pAwCD0Tt5cy3+Ilh z4OLt5-}Bh0w--&HGjE1_UdU=_khsjo24k>~{-%Gu1~K~SMJbq>MrJipKIk_|3gPx= zCX0v|{HNvIReE$G;kmrJh;$eA-@i>f-dLW;i(jdm)70J3s`bOv%8rQp)>ZGF(&XQ} zji=(UhGLi`_1vwUXoX>ch=_=nm*g|3eK3oOT^hOkmZUW;ve%SpL;DNqL%(l}*i=6J zHEvt}iNe&S3+=L0bg~i3b{(e809#T_NYqAnD0iWnMpl|7! zS#w=W*}7RC3NWs~Fd3_ImqIy3R#{e2k+id`E7~AP5tQt_5)$X)yJtnhyc%G}?G>Qr z`6maD1zl^nltd_T50!FucnrkQoLZEgaHV< zn+&{h3h1y8IG8!f8kP&UJXO8H!YxU=rb1~6W%bLKShYz=Nk2a+Wf2hI$6w0K$iR-M zamCi(1lzBx@WE2S3b-g0*=~xx&kVgeLL2(Mn^S$P z%%6X$8_%7km9nv5z)pNeD7MkD{g-nEJ0hnPugR1Al@{nKQUln7Sh=WzGe_HPDlgr- zMZf#Yl?k4SoSuGhs6F0%&f!NuCo3&EUUV(;HZt&J-uO}+2;Qf^PR77`jbD^1 zE-o$_wjz^Lc7A!job>;d_a^>auItr6ehZOd%1<6fzHygiM)vk6Y{aJp0-2@DIG}^I4zW+HnupeO>2poX2^bz6y3q zSG^Zc4#rFI2r9(2^r#)5C_90DRYJ|e8qT%vo7^5vEiJcPPrw%pSBrfRfuGRRD`qdc zlz0Wp$iZ0=NMYH(f4{nh#z7B{cXda`4tsd)gFD!_-L?AU$tJ15#K4)ESz9W{oYQu4 zv0oxJhBR3vG`vTv>(v5Ciume{-@_sUx| z7H7ImSrz7aTJ+)#Pn^N}QDgns#9Is7>gwwH+o}3$xJL73u4Q;}%zTjHG;5V!p75VP z-`3Z+g;9xB?P-1it?)LrlKA@)Uxs{Bd}(bBM(=WRR8JK0H7951 znxXs=4;=#vA5~{N+POWt6^e?ml{RfUV{&ngi`C*4g{dLkp(bu?My{7LY}Ue1h4b`1 zbnJTS^XI#dy$PEyz2`oXLytBNG@2ZDLq61(>g!9jH?}5lh|oBCv<&Tn-A;0ga_>E@ z3e=Bm^r?SR_WEK4i|X=3Sp$<`kgzYik0ej%&+}V!EMH(xPSW!4-=JVEy%FIw%>fp( zOoN1`Asu8Ym6aNZa4WqALL?Fb1N+!6Z1>55zdgXNipIWb3HEPX$0t+`zY%ow$2SGl zISYDE_~+4lw0SfC`j2|TAL{akUwfvwT@$s>!pi<&+~=lyrMCV#t$qs9(LFD0>hw4x#!WoVA|6@j7JLyD zIZBhRuX6kj-TbtKsrHYtjE$_dT>Y0{Ng1h9TfAwthek$2Q&Un>5{+Ce6U-!ez7Q)6 zDqQ({6I)wRY=nJfA?n?`=Vsj3H&1zN5)!#YoP6F#bI-KEjEb@+XQIrd@F|tx`|ovK zGKJxB<^>5W?_tRhAC_(LRK3W}%}x8{$p8RhXB-^XBNKf5{JGkdD>*{t)Q)uQtU8vb z(L2}!TcCvWb1hxTJ1uH?SC%i9YOEVCmi(~%R&~hebGT?5tzb+w=d}#Vz9*NI#v44k zJLa|q@$@t5uJS&zNhtdLKvH_k&OM^ed3}VwGGfpRR$7QWg&r9JC1dp52#dC zwiMpDv1aYswF&RuogPe{Ihs_9RKIbQNl>Yht8>1C@S57y6`-i8tk<|O?jJ4h(;!D< zX;omC^NM&7caUX*)}M#8f+kgN|zFu(4+(c_K~t z333e?{Gm}rO~A!-m{cr00(wd|AjcVD~0rAwE-SiO$3iAM|-U>rRC&O!-6si{yt5fL37gd{?VUA55r=DM|O zm6B@Biv4IiOuLi|0#D_#6O2mX|5z2=GbGLy2yP{JaGz*)P*qw+#^?HB2?d3lIAv{@ zn~WbnevFo5zq(I%s>DuDeAuAPME_fHiT-zzz>Zg1LPC*)KYt!XYP){(RLLPx25ej}=X~-CjEgLoFa(MQ{ClVK3yil!2)iEKOzf8gkce5_hkWie>K>@_I&{IkzX10PZEQ*NJzGLFdFRDKE!w2Xss5z3yY zf9vJs2^pKt(b$O@SAlVVwWI@@njvWcN{6-xjF%N(1<60}ZE~^1XZ6kT_e3ZW&2aUS z0ty0LDK?9Xi&*T;OmU$3JvH*9NDft9JKCr0U8fb7Hvj(lw5YW7nJD;iip|5$lT%X< zA3s({l+oHi{RQo$o?h{kpdUj+G43<3nP=adi9LQvLrIiB?eURIN(%iXoHuUxv_CJK z*_%b{&o2+@%Knn}optpztNkWje`ufJr5bgTBah_*WRS`V7h4Naw_cKfKvKvd{wu5I zr$@`tXvZH{CNOPR{e;HLXQ)IfUEkY8x;NF*CT>wmMWr?^FK=TaMa_x+R;}f=T1ypE z(|FU-jT<)jR$EN4-?HdaF3`S6ML9dm!rLZlpYw=Ga8OdL^Cg@wReAY+QHtHq<)i+A z>RMU+Tq(P0XlPhgQIUPQ&CT4L!UmwXy*Z2a#qLwTbHc+)@&+V&Tf1+K{5qO{CeJ0q zsYIH=%1=c_0UL&zC5I-V9pU?82X()fr<+@@t?j+7rY{I~3y;-IoX@Ul$xKa(wug$2 z&BeFIimDx=O6Q#En8yAWTet|!Lc&2V*3!z#4=4H3C44@xai5w=$3Ud#?6Ts}fOjR*x=`g*SA zA0rF)idt80oE-5Oi_B2>?#~uyV1MJo%DQ7~$TZ_RD5#<3vmCI>SYGEM6E;ILn66e< zRxgmr3Y!+}8>f!Oi!a8G@qN52E|h3l*V3})P6hiFMMaxiad9^hs)n@BgnDy=r3|mb zSn0dkk<;h>Uel^=XU`KWi%ykdOBFM`z|zlnTe*S5hwPC@92jx;ZqG&2d7f=4S~FW< zHe|Jew1esgRm{yd$9euawQq5t(chL0DiaCozTg$FXwX++_B?utrXp_t^*hD zS$MpQ$nNRQXBz!8c8>69J*D=u+~a^`UPZ;>$;nAU8JUxV$*Zgtw);*^O>Nq|c{8Of z1JUCsZGu=emrij&7np>%9tbZ^H(9;TvOpx}*T<@7R3s-aKQ>u^tQWd-&?zgw%B--G z;CCV-h%n({RlOtDDk>={d2Mda4gXVQ^_oy3TKA~^e2)ivQ&XcwC_$I&{jN0++;1L(w?RLAPrbXFyE_`F(-J(qt`>JKa?gl; z;?gM#=t^j!Id#f#a*E2OJ-JNOOWcu+OV#;x^ayGqpu`tT&%Kr|Bs8?RblEYG64AE! z?s&-tyZrd+BHxyJrCV=L@0OI2K|Be0IVzq|I@F;L>FIGmR+1@Q|NFW`1*{uXH?v2+ zeH*;=O)bgkyy*IV^W$CjL<23FIy#t$j};XF=FkG`QCn{8;9Yot=wM@*~TEh0o%!>SZ1Wd;`;{wY9XE3a0Z%$#O7|GSX9!f=81t z1Jy0`huVyJH%Y{APVs|^XnY3o_|`} z&cZO)Es4Kb?;3S;{1~{La~kLJz2oQoD}BdkdneIr@^p}bTI68~R-|%p@tU3_`~>&& z%av|6Oro8jt^I`zXg#c|s=~+4pcUl!#TC@N z>5G>gmzReKf!N|hD9^J~C0N4XH0m#8(=-A^vdC;E)`jlha!3*2QPH4Jh8VE@39qfz z>-;#{&S3l6L{Tm)MXgwM*1hxuaXlbltUExU=SgZDnzP^eAV6&MnjdzBRNUC_66T~A zFYG#u@`WaSSX*-B3pqw5lWxIhMjInn+qP}n3Grq6TMni3qvuP^?7&&Dt?{r2?8_bc zA)&g_k;^BAL-XK0(Y~*Z$sHcuw)D4R^5(buElKF!3&M9t8?pj=r?4*(558Mony2jC zsq1!1Wy{qU3Uc-M<_moYee3G{NZ9O{!t54>xgVSHie1I@0?@+T=S$jLxb=ypnKLbV zs*l9_853KKQF$Uf`0w%7w9WR6f43%-oSnIRS|(Iap5#K6o&8n%QM#*CK9cU%JR2tb z+jyC}mKOvD|3hzy6qV`&VP)_{y`{wJ?lcUb>}t zNORWmpMOdvS_iN()uD$4R*LqiQ#TqK8j1>UiT?IsO^gvYWvL#4?<1=)Kj>86+6@FR zE&0D_S^KeO^2Nfp6| zS8K4b@f(FBdEQZgDi7^nQNcfHA@Q|nvNTZqypxd z@0F2h+#^FZT#1iWU0m*_(yaa+CkngM?U3^V=#r1(8+jv-Kd06@{~{_Yt!FAvhSX=# zvfwaDxfHw=SAHyRTIIsXt@A>~7%_X|)w)BDpIUa9zc#G>^2G<1aP7Kv#g>viUyW@2 zTddX4hHNI_!P#A>2R?pyQfexFZ*Ol}^AfG*XD(yomdB6xQl)?Of4eum$peK7Dng95 zyXKC(k+AX3%ZqPMJL@@Boc_!u!|bbXRM5pKrc1`4j|`W1tNE&udcOaNU{z&B%`nbJ zAnKDpjt3difxoi$@UF}{V?7lW_A98guOiStsO`G7xVMJ2JZxaowth!p6AzB*j*H{b zqJ~DTtXxsV)lDykn~!Jtx9?tLNNsA>tKI5oUT{yY)$r1+AD_}ANlu?Yie2%uxK-hz zM%|v@(!QsfIaeB_>p$3QPYsvC&C82;qZATGq@%X$em^T>7Z)*-hV=Sl{kLyH2pv&@ zo|*n2R?S&7MV_Gb3q4#)mxej4JND&kbk}gXd2V!b8xN06UPCd}tmb42=nlTD&USlq z{*e!{q8+a0bC;zC7&(2^cOcWNU8vC6A6{&2)cw6Vjl(iE#N7nJ0@xM-0!J|()VCkS2TsH)>zIRR2%gLE^wH1 zs@|ZyRGA6ac33ABXPa8}O zY`YdO9KG?vI@5LRtfaK``|l1{yq>rW1as_qG;DkFxiB4zLBYLf5niTgPO$*1+G}e6X6b_^;Jn2%W$OiCy zZrmY(Lfzn>!O>ADN%5worID{69xlFoOcNWD4!+>X5k~NG`sYRSSnrA8PjvYvVIWw! zGbn9i6AaQ4HgaY?|Cv*nT`I1L{xe};IcDD3tKOaaW6c0L)eKe$=9rD1nbjn@vw*mtxYhS&7U2OIGEDQto z0d+%4%Q|B93_L~OU*!Ry;{7Pb!bwlXMc z`t|gj1)7%hdP->IoukAOR4Zv0zpR?}Pzq2s=2NP*tBmYiR%D^wK)#{(PPz3v4U|L4 zH~iVK18>;TVS+b2o5Arq?SHrcNCp5J7`(F7>54}-L#dLIkugV}kKk{qP?kE&U;k+t zWU1_-XUMzXjosMTSd1r>)Yl97&=n@4i%f*)alU)-djZ^${VkBw1XXoyMrj>(7{czs zKlcBLFkX2B(bxCyKYm1$@RY;S zhH2h|gt+j^y&zTM&M@Q!)Je6JPXoZDzYIDF3#kagpj?1K(J|v?N=UJAd-|s%U-zl= zJ^nNN!hl*4jKOi0mX-oC;I+uwfO4IqH!}1@7H&SiGI{|IAJjyPzB_E%y_*S&QQSzh z>Ibjkdn0a>wrPXl?lm8UlfYgLjf_C&`&!ihK*gZoi=||9_N9$Bg^SLJS&v2CJU!`_ zZw0(zAI(Q&%X3tL5$nA=_rszzG^m&Gl$U3iK24A0XXewjIJ#%ODr;kfIeEjTLDI7OhxeryNfq%GplL?3qnPZpSVB2o@ zdH;06vuD;Fh1Ue2p5vC!Z;>VY!vBzE0YZJ|iUD!%wP_;6llwrcEV5>&6r{MyD6e2> zbXlKX9x*m3c=sXWm}}q1Njp0A?Jj8P817{5b-v{N7uZCA3@{4iQo5{`wa2;nj{wVe zLTXFy14tmdLOsYfS~a!N3YxZI3kx3B%`d2+r?kz)eOL;ogVfT+7gHFZ!DYz#p9cIrQg-=(n*TP)*X3BDVrEjpK3EIPuEXADfHivL9SxP zSWKDF>vQf&^@l$n+8bQvC)43dqqsPDYz&_IKvHcN_@98Y=8Zw>yi+D1lt^J;(?V+Y zx_*y5Nv2+q5vsYuasW~HQjh2oHFRvsQEvS$usr7IF(4l`P_?dU!as0%dby*x^cvnK z$9MLig_SU&dKDO+$MSsVAuq3jl?P=K)JlaYD_pJNyv;n6>=vgaHyuH6{tNSk zg&}=?oo0)3^1o{j#dJAb$nU3fDWC{j7v0{P4%#sPgZ(jt&OZgW?i8DK@oo?r-ze{+ z{yK$o-!uKe%xwMK=i5eh4`yZ#Hnkhq=|8p2xF3a6Ior|Pe@RlKY4fxFc~74*lAmd% zAW|*UdF|8p_o##Xjve)&2T9`~@|<8r6%`%f^)JgnurP5O+)5%T$ZexPm&HF>&&Jg~ zm^$5EdV|6G+oX8GSg7gdt>3>L%_)u*<=kyuo`rvqGyH+NesOscwlE z%RPC3eP8XX%WX}&2Xjoa9KP@4vLmY;Q_erk!;B00`>my8fZm_YRLW>_&-FC;jq?5* z^^ctJd>};Z`Q_`>3-rd-D9J+Bng^ln*FfRp9_2279DYz^>ZQr~W=9!?^C{ zW!<4E-LPq2ngb7ZixdL%JIJz%6o-dMg4c8CbMWu?VhDJ&AHOJqi$O8yiO~q zE+*}~xO&#In(N_NF>Wz0bE(^bmQ2D#_)gXOul6ocPM3x!MNE*yCRN2odR#eL#Hb@T zTT^V2)s5W@+W`ymWoQa+;{fawXfe%TU8zVgOk1DHG_ZqqJ8DX1Q23_ue6}&Gtjmli z?n?iVL1yAQJS&g>5XaiJlR_dQ>rOszyFL&vTK?n5RK@z*yP^>ZAD9G%Zo`;kaX3{Q z-bd{ov>bT^b)-K|^RNm+AlfuGHc~`I<6YeM!Cl2PT9x4diHV63p=wuA9$xrvy1P7l z^Vpdv5fm6neWNW~wj|`{%25RBjcgu2uPIktJiheGw~2{fOm;);?7_oUyNR*uyx|@& zON~J(egUG!b+um)UwYHJzg>Zkj}Jy3HP!2g!jXuT(6X{#kpftO+6OaA$96fV>*J0b zYwBw4+AW#AS+fBv+CkNhtf_}!Q!D?G&xxNG^*cQklIIDm)Go~=a*n|O3b=vb^A z?Ew}DJ)A!y-5K0!vrAd`_DdP|xw$zUU4e&h-*N+cJg_`d&`aRJ}=&v+;2Ue5a~K{21kDPA~;AqyePI@KaN6ZGTa>g50wvH(mCf)Yq+n?SYCFDIFNZEsO zU{I!EiTOqSx6iJ6^xEzH(%ifnusiesEngcRd-M7B)+6NhWiRWWkXQsfs-~<=L%LpM z05g-0Do-1G;2+h%fPo|-4H8`#cgJt;-)p$wVOE6L(4z)&jL=NH&->`5;KOZNsmCwV z3R=ht%>p#vG+;+aN!15PjJEGur`-_n+x8#wIqI950+8sDxet;#GQKi)Y4;BbVsM_v zD&@>BY1&#^7D3PreVk46rx)&9ftHDa=?rA!QC1Abj=9yxsKajmt63aDE9^s9q1d5K zSBnXyZ*-$e1M1})lvKuhGjiA+q@?P`e)aY?Wi)=(2n%5Hcjh~ElTyeOeIKzN+8vSc zqD6mgx_&T7lJ}}Dz>^gF4XHPu*>l0bIUrQI7PLf!8?EoWQ_!Ef0a48i5Iv-52N(Kf z^j;2-b0HFvlWF134gu=4Q=q7_yU?=?5Uk;f21Memmxi{xbD@}f&uOv9_ltE24-fTH zui~RT2aV@f-)-dP_Cex>j#2<&FU*Rmt=n@sFf6A#ga&)iLZRiXhX*g&Ac22=7tt`U zdIdPQ7Dt)~=rXA*`1?=m1#SV;pA&`)QkY-h(s6~{od$1gjLif>ggD7iR6v-}Q9mWD zEB{JHE_Tv`qV;R;>l>ThOO#Be+?qirR8h$k7w1dwseUm^;n?lJz-boBSg7X2hDLt} zH$VRenZnuX1nbRTtzI|hyUTd}zPh#Fir+rm(wrKD{BW zE@YnRLGFQbd#X>nk_3bA7O$x@-tC!~cxXs}7(<6(WB{3w>;|L|r0_9dyB+!a5cfMS zSp<_jJP{EQNDb3FI67Xo`TDhKNmAI-dglF;`@Cj9<#P+j)Z}t{Ln4p~gF?!{ zVFWjCLs!s_+fQO?#x_GO-`Rf~4CcwVXi!IAd+CIk;6d_9}gH`IA)heSey# zh8$vswH|7fQ+;vZ;o%u~ng^BuzK%JxX$`V0)~(?A{H(R_#7!xmqO8SXw#ld#w)5qK z2ROaM!?Uivp~i2Qmy%G+Hpic1zYI!JeaE31n;Xh7KYNxsOks}l#w$Dxg%)+t5eOda z0`N9NOhJw$e2^d^uBYTZraWpoqI#Ex{!!k!ZO1L;ZQ5KIE?!K27-BOvRyReuIbYJc$Y z)XEojX9T1#&DpM9mz?zMSGLc18NNm>AV0D^jrPrABS}?ZpevRNiD^Uwpb|1zoQUZx zt+=!OjC9Nx#P(^=%?QkjirbGI2-JVNPgTg)1ziE_jJb3r$)*vK3j*Nj|Arbzn1BfO zMa=YC*!`Df$|P}5W*jzJjdH1=VP#Hyz}?(7eI2rlLc|F8Irj>ckRmbasL^p{vE8ClgP#q z{a#1tP1?OMMgE^2XNpXhzL!u$Jn3NeZlBkFD>^qnKL#}brPTUvpwMa%*Y0B6(x?qq zm2$$3J}x~z=<10aG%?`^bV(G|YaQt>vx@Yq51o)G|L|x?|6*6Xxs`8)RU|*Q4;y%M*giiJ-Q_xzme?<1Mt=68%cSHpzt_x}W@~A5hqD*XHD*MZ ztZy$m8$J?!h0LZtOUYYGk5Jb)^g0VT~J`CCksY(kF zds$6GgMr`e$0p$9Ro*&}46S}4C7)F_rh1&1NPYS8Wew4*7UHeq!&<469)f+l#h!#C zOZgWaj)~dy7ahihF}SDFkt-;WVu)vAp1xr^^6)bmoJD-*%Fn0!)seq(MU;5yH$6ID zxwqX}15P-pTI%hs2n<3D+zjw`+EABh`=ctM>qyUX-uOznhy(jtos&f3Z<%`WVYSV_ zo6UV)20ro;jd4D{5z*iz6Qt7_}r{lZ=z!ImLu-Gczi&e_hXZ{(d=I(WwzHS|tuPRaSI~{BNw6l+Z?W&4xyt zxIbqRZre3t(~zp;*jr?31^L+h1Ma94u5*&(gD3ci0?19FriLv2cB_lY<;npbb1YeO zN*o)3=KvES%?wyV80XY`*T}{fi35t)f1mpfjt6NRK@n$%*>>&nrT23@%Q-=-x;oz^ zqmr6Mz9+B`{4UjPaoR70igYkXUB%?fTzx%BiBYbbcOK;AS*Qy^pp+}w#MA4gAi=5p?UGL66L#YHP z0>~xUa@f(NRRb`Lm_Ncqh$NTrGSQQhYf#TMBZbOe4|xH*s3`u#N#I@CU)xY^{u>&z zUK^gQ$HQfOC@)7O1OtruPpEj1=@upu{arP#r;S0Rxk7ajlG!Vo)a3$AbTURn6&Jfs zgCWraiar@>zr1rve*b3&dcn){uim^tp%${ZWCD+IK{Itx1=mm|CxdGp6|fnKZN2A> zNZItilUE+TOL7Bu;Gi9&!K9f^h@U^L;O$uJ*1@EOXN{-}lXC7jJU@nqRe^TH48g00 zM@A-3j)T@pEsbMLPAWlLD+x-GNIbD8?B|Vfj|1V#m-v)cz6DT1=a;srVToD#z+h3y z1lrJTCx}#v1U>%tAFZsOjyA%1P@EIryx|JlHy)TeLvzjY#4+~oj6s@USt0m_aS9Y# z&8W0R-X@i~t+aF%X4fGP{PLI084(qgl$OQ-hoDPR)>IBmBY#VJ@?;GL9?GDoB{wW< z!6-DvM{`VN91i55U+dr^*o!FBBM~5(X#pivfJET|6JNcGAQ8bwhKL?XYf5T#wK;qe zF)=N%K2WQ5$*8Dp@91@P1v0v}lg}STsgtDQV9SE&4_q=LGV&oF1(2tPXc(G3oJpmA z)R~>Zujm!MTE)pe+#tOwTEb@~H}q$JQ}6yCJj(wh83H!mnXiJwdFuy?)^PfyGI>Nq zgskajJc&kX{gan8$S`qs!u^n*VlP1{*?$H5+JTf-a~qqH*$t$YWN$WEg@o*NqzQwL z!SSJgjf4t=oy+_K1y3F@z;HClh#TiV^ndV{M}hEgWQiN-!-LC*B`S!2VUfFi+ zLNFAm$KusIJ@*T9G6INAZN(VC0L5QqGP{WJmt?sgn})n&v!g8)n`*f19)^E`0F^y? z=%++BN3I;)BRZ6O5YZe!Af4xl-BlpAXOAC>5oaLS{cCB{xUY%m;?4nwoP_#8c9WxB z23>+AT%xiE)KQFJ6JB*d>HPWa$bdC8G{~AsOw6Y|N$dg{U^cs>E`BiYykRNlLiMrR z?r|arUE~g+1OlwUx5qB>NAg0Jj>&u%4}ehx;Gw}n7yvUy8R8&lRV(g>Nk_$w%d=rG zJ=VOKnnlOwmvdffYw8LQu%>?aPE=Gmi6A7(f`oY%le0XR9fx$(mX$01-)Xs%?l1!A6NiClFBlCYU^`@`sfzl1X zH*pgHO?W⁣w&)By(eStArFa`KXVo^r7$<=mCo8zl=NN{cu*=Iy%KGPf9pBIhi>* zu|qUXL)4#=_&A;1Pe3ec*YYyqtfr=?uQN>lT0fliPsNHAVWmBQZTQMi1pJTZle&RI z3;{}P;e|kvau0wqg@_MnE808W4n5DqU3@VRY6ZD_wDaiEqo}2l1DxuPYzm@Si4bGk zcCFw~ehtI*&CP*;1<1}&6q4YRP#wWfcQKTZL2+@N!SCqOdt&J5C_$K^n!}KBjWYf?{on7O zcoV7Kzc|237Ti1d=M>cJcm2Y?*;I#g0=OFHkthu&v#9c76+fEdz&CJnb1PxTYdzTO zTU)Dx$}H4fMON~z+qYK&5}gzFaKbC(pFZ;wV{yMKA8sPVF&?zw| zX9EcAn1De(Wae2~@*zb{Ysigsd)5+ipvA_AjfTxZZDBiX1lLy&z8uW>?zE{<~@B(snT?ASY z31SB1nX!!JxeOV92?oX8QAjLL0}ZmgaKV=nWKiHCOE#n-)Ogv7(j9x5M|UBRK8$d& zUt-oFa6vL?*P{v)`h-fszbPJM7}2|N7T5w=SbSmTyAnktUIA81`i@hl?vqEy5(F;8 z^t-g!JEs~reWYzWLNEbmSN_^u-~W$DKlLh1Ixn~z=^#l;$AnIJ2l^o?BO4ABg1=F- z_(vgyhGju`g}x4-R-3$aNb+F?R{UR}U+Mm3(()AzI>~_rn;gY@f{YCW5F3amQh-AJ zWu7oFFpzUp*f}{@UR&M&TWc#ufxa)fP#$P0u9kn zbqyi`tdMT4vUjLB znhCDCo&b<>J~A=&0i)2e$lXU_xbm4(sIE@jqlTv_ZSA-SD9+G{kmn$zL zl|c0u;-ngFEe4iJ^12ZUAxtkVD+8)nVlBN{LPA0^7-jv$7ZS&_1A{kS)0aoT<$`rrk&Bv%Go~lP}*EDAc7oj+^Ez3@Xhc-Yg9}vA_WwR#9T0!Fu1ibNx9dH+?jMM(5Bwcy5z3d6FmYLBEJke}0xDv&I@x%RC# zlhjIh@q3HlwFf&0LLl_8%7GKv)=vUVIa3VdE zx`glK96xj*X>xKNEGx5X8m8-C=2OB`t*lY=-!R%AzW0B%3!NjuC}-#FzXoJ=)IAE{ zHXT!2Dx$9scV^eLil$P@>J8b#K!-&Rp#;4!5GI>0K%Y1RW&t{MfnGA>LCBn@kwH@C zh%#?JAJs8z&AzZtQSz*8Z1h(*>A|u;35vG(pX58S6flKWyuvy_g(OE1QS{xriHM>B z9uQr2#Qd~rXU3?LhB7ZRe}rKU7ASC`o2)SS)L$r`dAsJ+DIN>PL_yu-D-{=k{GI1B z4FnO~;fipY&z=eYYR;q~TUtUxWB+`M<{2yn=Xj{;CT}?C0Sw)VxS%?Rm6cED($|~Y z<9>V)Say~FP<~$|(C-FmEa@4Qc1j}O0phQO&Z^6o4`ehYp^q764xqaU{nJzFx`Hu= z3sjF3mlp<#!n{@q8?Ypbg4z)%6en-=DAm+oe^+AG@t=DwvIQCVW3}jY*uj}gXtatn z(bBeCElCDKy5WBtaH=hoEiAT;Ty&1yX`5pAz9%Gp!ok7v|5VRt^bp+U>Zxx-^Y zK8seTD+S&>u>U=^_NvU*VRAwv3Bn?@iPahy{8NE08rQ;K50#51J|9W-ZvQwKG17;p zW1aoEywqtA-W!dj<>R-5NaYfXNcV%2MWF^u8+C6cMC$LciBJ;OF*XiGarVmP`Ko`4 zsk>~K`uop(SwWPnYq!C4EQj1QBnVH>dU>CF_`=Gew1P~&+epylOr^~mlCll+Iy^l5 zpGD9D>rQTLJ^nD>a5_{|bd?-UNuJWU-uYBX!mU-B?fL05_y*Ea96ozjxmgGY>AWCW z``|{BIY!(*prC7nPrqdWgruyhN*kh<^ef&pBP!dEZ?E9+Cz<=MF3<%C>`z6PAewz< zmZp1u_XRaAPtMacCwn!^j zt4kU@GR=y`mVRcaja6*l*5)EGK^xB7&`ec2tfeyE9oEC*xR=+`+WMN{YBKCaZh&$N zT#^n{L|)pudQZR6_gFAue8slSVAJa*bf13alViWVmFy9()U4)uLR+^Gf6}zNxO5eH z-4*wTud0Heo?JP^*+3%xcT)-NdgUC}j&7e}BdM9xl0&}>A6{kB;w?65=o0+!VREm7 zO7wC`{w!&1Bt&O>Ze37(c5}<=oZFz2Z(&>cHqqo7R3M%u%U^#Bfd7`iFp#bCmCV-$ zrR5mI(ylq#(Xazni?h;92U71?P}_&0HJWv{>PW%IkAqhi)2Osk<7WNTw^_AOtD)8e z#xfvne$PoA&>}gI!(h5r38cUICqGMwiFFPB*|2eAi61TF3rLfJB!K>d9Y5kfpV!}I z*SGo=TW|gD?PhD;?N@n+(b&nco!PVFl>)rwYW6e_*6eqEj8SS=ZH{wRYCSke{S0i} zJvzsM&{v42F(`q1L{_!X-g^Tv7|yqKYxX*1b5!2e;0}}Ayn+J$zj*}$m~)@*`j?AI z1gl2R{PL%f6AsSmx|zSLB@U|7ee|*usw%&4i_Y!YV-_5$nvxuY*Hc5oC-%+zp6P8u zkt8h}tSQjtsffde4}*|>5W+o5RF~}Rz91Mz5faV(WTg}?w$gdt)qKz4a?dLd1K3>l zTfJ8lSUW~~NTCP3vqFik6k-jE!Hl*< zDHy!i1+NTrbRdfZApqI#!&=K14&OD%PQ{J(&4)E3YTPo?X+M0}7iDa(_G7t6d|`6n zofOz2?14(-s-@$%MZZl1I!qX z32Ap40;hI=Q^57>B&dl@>fZtzU`T}dlXLd(>xxBfiuq)PUSE`t{W9XYR-FFIMI2uW z%S1I-nw@firO`X?Svs1t%fmh|hlF%xVO@m0!FfjWVy`bfe-TQCAwWbshc05KRsbMO zDgxz0a$+GOCnN&|q5sSPp+E?DTGwpfeAWbg^~f8Q~%B z(M^5b#G7v@?P>Cm$`){1QGHJQnfj6v)STxc3LJr?7?r0^lWe|!)mBE{_A;H&*GCJQ zYJcQ)rL#hx&q5c0!Ed&Yu~9=)rIkxH9>g+#F6BpFAYs{)-U$`9Nhl3<-9H~!j9GwS zV^R?_V`1JQn7das!;el}%!?+IY}Te>^Vcsc5IL&bOjK}%TR-=x{rZ&-KLBYae=mC# z9kruIMSJ`1tz<;G7;?L~^x-yYPpHD**WbcSM!ol?`{~`MHCiWHZeVA!pC+&KvB|@J zux=~h;6rVp5{c@MRwy&fpQv`8IKG*$R9wMp(eP3_y1{Pkxd;Q8__6;;0jk$(Xhpz$ zI<`65^{ShsE@N>PTraAf18J+KE#i0wmAbcrgNj=mHs(ixg8pDks-=d+rV(ck$9mQ6 zs11-|AnBU#-{mw*8NDwT`|5l=`NJpmcm1x|UZg3Xo6;YQG68ZgAw;=Oj9Y@vBFEwh zRntS#X;2cFXqS~qJX%crs}@1qr0W?cKZ7pmkW2|=d!dMu=+$)InG_AfX0)f>iQ#xtuw;iX1gM=V* z7XUCqNI^ltiE*n?qcxRduk&`HSv)GkJs-SKkkmiL1XOctnokk*6a zkKR9uB;yt#X5bq^)GX%-84K`*CRq}^ztqJxT6i?f{UG`3q{|K}!a1meCJ=1Ee7(O3S^l%f*>*euYajQSRO zHHr{e_|nuBc;2aS9|&udo1effRD4ETdO+;Fim*%ntD!+U4D7>{yC~kS1j#m3$M2V_ zU}wjaM3qqe>SX@M0u}7Zx88+LvAC(_Hi>hL1dxsL`B4b@ah*iBHyivIbu$$^-`>qP z{CxS8bP`kO9;e58J-GOPY|uZw0)+wh?yY$@Kf-B{UMGbHl`pzS=vf$ff%VaAv%fG* zUYs{Kug?ezJ>1mp8@jUX;=R2X?Cqy!>f^s+VyN}!%j9pJg*TWDqD`QfWvZ8K%M zG(ZN(9*tkWUI#CPW_UPwteD=VV{+dFt7wa)Q1HZ?L|2moR$-4&_a<=3Za=_cA5Th1j@;&fRQP^=S)ohw4suW} z&hsKSz{icqFOWQU0XK^M^JzmCZTNV@OWF_;Oe?3>X0ILcRSxh0Ny2k>8{23Nj$myY z;BsKKNVHRp&u0tj^27THea53VJwSSROx4)9@9Ptp8z4?Z_enWd7Ml@*AU;ibNg&H>2l&Z>^MtR9bV+{srjE-k${2f9=2FjQewoUY=#5=vH9 zY13TryE`h4C(m$!Sl~~aV0kuE{roF8vI34If%T|3h>V2#ks}jJ)CdPu2McDFj~#Wy z$LGh#XS=iJ-XQ(e`W^ep9V1!xfL4(Fp(lW<$we*!we&D)IcRP66_;2>Jm0=;XV&hO zhX+CeDl|Znf3N!_`G3b4ywvHs`cE6|FYRf+mB;iqu>bZlR;!Ct{~#m#=(A>KMfHnl zqGR`J&|QJtjOo9iWJ7`a(1wx@aRl#kU~817sW>F}I3Mpkwfl@4;0H!6ye zCWcD9OoNk+n-4wm&TdUr9GznSx?+TGrH8|@rZ>P}JbGj>Hs86uXSy(ci9FY?Bx_@K zC(ew*{4WXg-14Gfi)_*;0PCO!1FKKEouYdBB>Z6W%uIEefKTcRkliW{SI_peoZo&% zY_HfJhY4N*n3LaKyHRuaySQw6v=FG#0%`in(gTn|@MqeS?0cW;F_@a0XBFQ3dlBX8 z*@LMY7kfT;(925TOMlL%6|R%_`Rn9g(^j?0aM*J6BeLp+;uJylL$ow;tPWOXFm>$S z@eChzT-&igT{GgF`?IgBGBV5yR?Y-#ct&Cx4F$LlQn5Hi7bmBpzOApxIl5pf0C7-O zQ&Xcv{gAnHn87sb-|Oh$I_h>@J~m9O*sa~ZD`ywsq#;@-z&x-+1c74HyWh*Ld2d*D zeOhGhD%^11>4C-ZHS45Wc5jzBvLRGUzuC8@&Nrc+NzTkE;bo{wyS3kLhM|<*&(tazMfkYxpXPA`|0b;P43mztmfrz47&*S9Rssx+uj<}2u{$32 zl*U#m-RI^GyeF|eF@JwgDci0L$Nm$~X^3A>eSHI`hTfEpe>bn@6!ZI@P5se%JLRT` z+5LO+GH1tn0@IDW3$tDAzh7Qj_|~wBh-hldVWsE&0;Y+G{K@5eB4&LRTUXZXGeg4K z$v^sWME1E)UxtjbPdqnzxsLc1TxlJCw(8y`xVM)Rxh>Rc{64)%CrkUQLN3C^US0tnPE~Ix~|T1c(Gf{MXT= zo~*2StCTDlxlcJT`aGaoRmMu3!+e3B{+P{%MgbLnw*Nw?{$#Je^ zscVPXeM_sfec|RE?YPrPhmnvhNxN?zp<=osWsJRLsZ@d zX#^8osS_ToU8_=cpRKlo-@fNYWRtAp&L%424=RJEuR=DMXZx)Gc!7~yn>Rpd;GdDU zz_Q@Y*$|HS)>9VQG&^zeI2)m@0Ww7Gc;WJWk%Uza&D3=4_^78R|ELKYvS|bC6ONXu>5#;ilb~vh^SOGGAgZ>IrJ)_G@`v2}EkatTHHwa7 zi>~%@X!y!0enB_=DM4shfvOU&8`KZQ9NH|}5KAUsy0q@Kf&_6LP4Vt3Dv-X;{SZks z{#{`z7J^WoTwd<&q*c;p!ujW+CVzD1678275woJeyT^&XmGxRp_-uMc_&HQ`vsj)d z7G)RDc(V}brM-slzcoNP!MA4(wgdNjPBBW~r#OIh3?_|F5gQpvKRp5+65x z(dJ#bu>sYp@3)nSzFX!LllE0gXdAG_)NxsKn)d|ldL9TB&&J#>L_(iKtmrCSNOl!= zL{^!?hA5ArT6n7>Umeu#39kd<8Urp6@=E}C%mIZN)ecT*Y3UT}_ zz8b=(`&tpN zkZlbYjSv3$&pU1*@3@rkUw4$FSxpc`0)HdSHU8k^ww2iV1VBY8hEoyxedIiKz8rZlGjgpk+fd`IS5A5ErAup3r zFlV(cO*jKph(qq~?wU{^d^3Gq!yXMmr?imPmo5&LHk zooBi6qU)0Z(%nLRxE|8p(I80N#a69D)%^Oqfg9W7)RDX!Y3xWwx|{Meqac?v`L3?i zq9;iBb!gH&uCZf3c(`+UVQGW*8aoz2+`iCXb$<}_Z*Bu9{UtV46!sjC{FE&@v#gldR7JbugY;`dKc zslmH*DNtHTK}xqh)}eAo$>}p*1ov4xTMW+u?FU+7ej4;$_oO}b`q8C18VBieN zy~00OsINebHlT;2wRaKdW7#^HHWv6GjE@LGU-fYhG}@FH{6D_NLE^+gQz&fk+LyA* zd-E%Ld3a#Pxx2@)BXG)Ml|2(R*t z!szMg%`u~Xtj+QBI&-}%Px_}_&CCSRqrhd0)>RN2Hd)j>*Z{RM`!5IR*PXndjF$jA zlSiiA={SC8{}}90DMEGu{77x{kG!bG;?A5!@+<%6&UMdOj-4>lJ=j|w76v}+=)x6L z|MP?w=X>4h=;(St9$czVwpn-{y`-k{ZtTOxG18=c5-sG#;%}%~f5g^y{}OIOTHG4s z410e*PU=BZC>g3&9SEII`1bh*etI8R;^yzKt+D@=S^fcN?Df0`U9203c0o7`aza8{ z^24tn-4q+a=qZa#Ct&h7diW^|0(mpH#)gnH}Dsl2T_G5-1?lw}m zyae_3mpH%B06BWnGQa zEca%bZ>Cvq_?dBv(Pfg-dsBY*(O5Yt5#!ufcfa4Q>6ptybnXNb0WH4gl8|1WL`z1~ z%eK0lKi@9aKMWw5?$LE1!^fes@ct|4mXZHP=zgD`hUkqt$OspHHat<-{D*BqH50Z$ z!j%1!waz~L$4}1!OZAGRjj-5+Lq8ce5I$9;YbS_3+o1$R5FZ~9q+u6yBqN3Y|NZ5( Zw`Omb9j5=u&S2I^Mhu7{};!+s#X91 literal 45340 zcmd>m1zT2I*X{#I3DPAg9nv5jib!{NcXx+MBcODLARr(m-QC>{(nxp5na_T|cYo(P zf8lstY&Wo;wdNdgk9*v6EW;G!#9urod=7y?UPwxaDnTI6K0+WcWk?9%Cu6&$3gEA2 z&LWa3NZ^kTl1V7|9@#-c(-{Im!GeClj4%1!Lm;mplA`ZaJks`;Jky4zo?1_4bj?~S z*i43od$|H6CId0vPiPF3#Nk9UiO@?2PNL(QO7@N?(#5=CkiHaLFd(>NP1QVV+P>;> zJsNz&U-9y2dwtb#t0HaWCe3@>Z~5whciV?kiarQK1c^NGpa0NRR^I5s{LeSwC(#X5 zFjW8f75GlER}xm@zn5ZUe~W$g?ca}zlG7r;`uBsOB63)7|Gg_lP#V?8fA2#6oL3Tp z{O_eWPB9Rye=num`2X;Mp@@^eG&%epZ?;ti+z;l1N=r)*-1YVK-45pCbJ;5@m|A~n zR_x4IS=aA*pYOD(>-)xUo<9FPI;!B~>s#lvDV4YIcz4uteS2%fmCCWi#mI;XKFzFK zA7{0csP8BFl~j=QXEOu_2Il^BfCatrX*^fja<+_IUig9Y3m(&25WZen@j`_;y7@?k zZ=1@(t0L}&vm!V zsOx#d)#SlKjb@AA16=&wivLr&{ff{l@00m}+9!KD4*&ZT#MRZ+IwgGa=X@YyqER>r zBM-LyA8$hPGyVAFqg-3&D$LKOwe2_O%blggw&S!H%<|LHxQx3|y?~j3y*w|b)DL1P zo4hX8wuVyYn4OQ7n<9v~(Q;Mf)ZT~>W(o@rvAh#OI;rg+s3p&jV^9r;-ksgFf5Tn% z`LF#>ynMOzY~!9NDjJ&8A?}qjyCuG5uRSI_Mvc~nqvlj=SDktndcO3ii@h0a0s@Px z$5cL725^gQu%E+*Bd67N_=Tf75_8k4``79vtQMoMjEs$)tAs>wRBrD}K4Jvvj%9y1 zJD4RUCB1R8iFO?u8=EXr{~ALr4f|(j=X%sMWyp+^@P$-?kE|WYnBI*02%_KbbH)VN zU43yP2;YQnXLv_hPUOuc#53y>3JVL*SKAJR0AR43v0Yg-W!*c|b%d43PK&z?OyJ{u8M&Jlajuqua$M*ND7 zE)*DXqF9@|y}g~Cam9j@-ECjv{{9}gGe}o`Deir1gczlAo(%b`S07W}SdT-a`1UXD zLbdnh{&(NI%gF-e5VN5aHuu9t)Dg>v+lxxe2?Vgr;1@*Qn*)h|=PGDHfSm7)1!&jU z%~h{d+ol%px3<3JvY9nde*)nd2RxmUC!2aYqwhaQ@|uPw7+vW4Vs323_H}U^jn`jz-E1J0xUeDs3xl=GgT-R^cvISFsB*S~sR&Y7Q_ovmNY=x^WOoE1co;o*su>NP1yfzQ0qR=-F}A^;l= zZfOygP31BjN_kW5i-nDy%;QKAN%$t)up=0iRDh@BaP02#U_D-4uWe-HEBX82Z{NNd z)c74P)-_(QeF3--OCy_d?EiG-5Ba6nlmZ@K?*HUhs9uWJ8cD?Many8WF`5NaWi>^? z!!tW=tAj*N%3X)c-Pzfx(BNjCHh zKWPag-+6oZWGmHPsm4y%YNkYXrbL(5{gC)umGxe|>z>6zH4|`>%i&`3`w+CbY1`$- zx#|+&+ybMZINez#v~)~Ry}`UHo#w!JOx;J`{wPF{V0PAVV)?s;-` zmG61B#i;qav!oI1<7B^L42`u_{-Vegpf8ZKsg!xMyWn@s_2cv$sTdJ?LTS{5) z`MOXn>~Z{Rsou3?WCY#c-~aaVU;uar;&IZ24`VU+JJ{5c7ApvNl^4XR)R zGFA7P{*Q_PIICBRREzT54i^jJl&nBD6uRzB?;fvqSb@zKsurpB&&;R?1qIDjzd%A# z0I8*zFQ2J)Fkht%ysua9n#AjzSEyE;Ldfs->p3#A;@Q@avb^9$9H0MVqmop?;Zj2p zOUu0yeeNU(=wdyuztpbR$A+$d$En{qZ^@{FV0B&ZeqqX&sV_CStHU9p zseoIVkC1Ne?G?$;#DX34_DbNAkffWXv*F$m`s=-KB;aud5|@RSAjEVp%vixCw!33=x6C=OT-&2Ca}cc8fdAc1MB)^Yux<%eO@sw6V&PHNjX<;L~j&s#;} zLdyUyAz@*jTzVlPr$rXP=^~KM1@{jRQ@|I%gFm&ZZITO>^P~7YPfh9%7Hb`ip#kK& zKg%|i^$rgDRRuT#)TvX=zTVozj+gtIssPj8fcpMVcmY`6+}_Ry#Ucyj4Rp)z0uXiq zJgCshXQ=4byFhbm7sRisRIcyA{^<7rB?i|;OcD~?hOK4$zvH?6D=WfFGqxaap&3R^ zObe3uz-%k~5t3LqHhq|^{zeP_FK&sV3wXGC=u2>Xt zL59~ZeU;~#nJYjo+?Ov45YS0~EqfmcF1(q$ef$y`SykNNydCu%9bNs6)uaMQeiii+ z9mOKGVkKyzf~1vHT?q|Ef(9QRv(C@#oSdl)L2nfR>nbA|f>X&H=99ze{PDmAT8$p% zN>ZkGZ%ElqLZ73dsX_PZ|MXB}wOCtzU{6OwBlgB(^zBfFpf-Sv0+3EWp%E@GbR!DV zA(~P=4g?;b&vluUghcPTFN>%lrQpXv4Od9UT?neegj% zE=_FMSdO@Ios%gcx80!gh+q%+*7o8BD(Vm21~-*Ll`s(EYk&S2EVwT>dZH3>MIgK& zRQN6eFZPu*Qm=ITtMFr)?L@9Let-OH@m#5Ro2Bigr6uL5CW&Z@YFB1v=D?t!)r}3& zz8GqH?P|vL?nr58BlAeHfc$(~gO^eU#rgoFb{1+_O#9FL8jQN|=A8v$JK zdLvf;r)m)%KxMQ3IQleR=irCCt9*thfOS0!3#s4VhbT4scp{(@yagCwvnL%#*JhsS zE7lSGf?l-{2P8sUPfrMdv9+C@(9~2Sucl=;KL9tz`?KXLKNUU!cb?2!m(Cp$qL7Ok z#;iEL-C26`H(U zKL-TxI&VeTrbd($18~Rzb)oTgwg#izW|NGXuYd7 z9*bVup(g?&;>1ryO3-M$11m4ks$u};CmT2#bPU6IIU2NrqyiqSoBi=nvh>~i>d@!u z;R^Cgr!EGh3Kj;&$I?<35XChYyOKxqo&YQss+4ngU`$vE#z|7hUcO9TE%V*02U!Nn z{alqbJ{ucb^-LLn3>QJ_=D4rP9h>)mO5uFqd-|HCARxNQD(pbK{b_SqdtwD9nvtE=nea>4#=nEyzj zP=y{KrX^qy2Tc}&^7i)j#3UpY=gs)ptkJyCv^{FRV=mUNsn)Lce|qE$ArA@+G~gsG z(5%R_P0q~JFJv1B2~+j3e|TuOM|yYCLssE-pw;SxS%r3SdU5fgRQ^%9L@_5=cgCy; zu%QY7zGPjByq?xCLUZl{C!H^Jy+cIs+MN-;~U ztb3Pp7rRBJr=Z(CyFVLI28=a@+g=XPiQkP+58KZYR^dS*q5$brqT4XvM23xxUFWb0 z3t*w*^)_gV02i3D(*&_^Tj~kO4yc|;`aUP{+r#PW02%^ALX6py#|29P|8hM3^KQW# zn{oZT;tZM>?-D^?0PaX2=*0ef%X?bodMEmW6){N&-~g)#9uU{uT&t-ol<1hG|Pzar<}z9Ar@Ep%H?^&FLm*O%;vhA^PH>`xCz2-X$<{Hs}hfH$hNHJ9}5m zr7;lsee=>#moV!pD#_92PQcxSnZU%T4I5LDLl{kd3VY#Iz=;xscs zSHAS6qrb90xA*tctdjdoeoJ@$u!)W9W6T)?h^C$LRf9$C7lC*bvE*5jWjO*JXrv3K zKZuFtJvTVC?}&44e0ozkJx9nmn8X$U%$e)y<8dsR@mjU8bGlf2uG|$C^?1l_wkS5rXM{o=&@jT0S>cUj#KfuAIbord&%oW1!$;5 zO`4GJEe0;`2LppwAiyX=41zw$%u5L93qSitYQKA&tXWiPK|3ap=V4J%07}9@e+Uhq zY8v4~VKo~YMiM@kR)FaE`aaQse`8@`wY#tQn%DSx%}iIW;k}OS>ja+7*bNpJn`sIO zQyesN4%UAxHZ^xUh=_<7JT>V6p+iMYeF8{N?%dripnoc*dP|oX787|dh`8;3cwOuU z1_zH9s=n4v2Q;jQ|ESTp#=rln_o39#Z7@SH6)^eVrUQ7@c1!)B{q6(-I8ZSnl$!f+ zzvIW@6Y7Xh;52GXH!Oc!E!ZuHS+ zik8kS$f~%5lFf*SIGr_iJK}{YJJ&?W_^$n-5Ah=q0RW9B2nOu{=qL7Rl$u@l@G^Z) zkwFn%i{xH5I9cn0HgX`}g?kI;3qZ{+6dh^{Km`8>`ym_$6ty@f)G#ezTi_yr01_1?#&vgQ1z({=sbm!W~hlhu9K!T}r zTn{d81~tI!_WW-$+U7vGzTZvIP%8J?+7}jf&=o*CNYFk^F!J-u*OoPB+O0I(7S+_$ zaD(prcdEr?Aqc880nc&fu*6eW5Wp`%fi?&B0ovE<-@knTp~vsBoIyUYv1ImDtfTC*R&RnEkYBrH4tI5DmiThej z1~-S8$KfO3Xpn-^8+;bMNinhnZ&wdr&Rq5xbt%!i4ALh}w>gY@D>RTF-(yhN4Px2qk3-=Q{(DvB6U|LFn%<)Qpr!9|Y`9dg;A&W8*?>sLVm6%C z2UdrSg0c=;z6cWj1Yq)Ufc%W<@-=o#vw&s}B(l&_Q3bLYch3rTWxF3O``m0M+AKFF z1LYQAKo6)<<1+oGK}AKcf$~ZX)GZK{G;(RZ!cX__H8cpoUmSLJcGYh$9v>i4WWsjp zEtR!(bx^rO=;2)1?Pz%j)K&sEqi3Ll&hxoBEvQCEMWrGq{{$o+=f```t>JX*L=C`G zjIIuspwt_5ktaYZ235}H!ok^j9n^fCW}laU3A^x-v^-oAfwlycsTYGOZ%|%MctQDK zg0|y(V2;qx&@#cH35JT1!%B@7DsN9uC_4rCg@l4)3`iL$Seyfy>!6c10WCcgN5LjR z_a|jyLIu_M4wq7)WD>*?79rt3*aFJ2Cn!Q>wJ&}_-SBrJKbg%K0iRjt574Yvf$*0N zXvfFRlok;6(3%D=cnK7a0|Xtll63l5B*5Q90m5r10&eaE`mSaFC*LSy-geM0+&o;Z z{GBSomrda;mxiboYsCY_yTV~r1W><&;cZareSk6pRKMsKL|m-4^PEx%j5lu&*0;90 z0l3%tJ@5fVmQlMp0?1U3H>ajhOBX2Tk4NI_>gpmRBljJr75_dXBtk{_{P}Yd5cERO z$;^O>ea?ost1qT+!hx342jC=$-<=uY+HVl@Cu1Oq#cgc%;hK(uJmSDXN+@F7)SuUz zZe%{kFwh=HK2r#lkTVpB{xE&InPgO1C`d@JfP@PmqXG!e%{N;_fM;eDHiG1Eygj#s z;x`Cs3BXms+R%U&)7sYd32<_&rRHAzdPF$0ECB~aaS`OIbJhBOaw-(@VRk< zeimf!4bV6&Cx2o>p#208(i%Za*9eHG8w^@2Xn^VUn+5C}PY{4pf0*>efcn5cWc-4F z^&_x2usaZzI81smnx7uMf$l85((H?jj&2TkZ~=|5j68^fWC2h172hioDB}m8cRO2c zJn1HCyqy0hr?awN4QB`rfcDMi{pGk-QN(;HND-M#p>$yNF+jxmTy|Qa8w3`dt+pj{ z-Wrs2zHf3hIs^?V$g?QU0Xfe_(9wjK>?P*qfl)FMH9GkJwZ?k~PiuqRZcc!f!|u2y3Ial-$?FYh z@hB-MJ_E(fR4X5-sHcDPGuhn_b@cphOwmXMdO=waX*0+I98e~mFCGNlc(tuI9+Orl zXxzGi3ZH4FIcFJ5o8j>pIP@6kb|=79Ai7qLS3}6=gDK$Q;ZK0Tzy_WOg;s#{j?T^% z2bptK9HzPeLXuXGw?IuQ2Zuv|SpyZ|2k6Iq?hb0s|4z^j)zY%EV&ujhU>-oAg?7Qd z#S}<;(32UUo}_`6C^x*AJ?8iDyLa!PNusXj2~S2w29*3RK$k3mAPkLJ(8I~PGq-~% zfJRhz6iMn|wu(DKaBR~9J;dN%_6Pu7^umidtEKuk;7-usg31OUnxLBi^xg0IEU29$fST>sTV?P#etrUU=SJi82@eRpl!HDkG&D4*8V_Uz z_Ld^*Kn#j6RMi-slK=B)g)0bydP&++(j340;qhjoK09!U&#!ooG*zG+z@y-m0mU8) zA)quV3G%5Rk&Cubmk0GqV{wDS)LzLTKA6eu4=CFBniX?^pc)eZMhP^7Qww3}A*o4f zCm!^8)I;Sjs2SYMEw7_ffj$J4F@U`FORFjz7_`jq!3z{9aSsok5y2~+;5(v7n#y^R zbXsiiQBf`d8ygrbeWVjsF1y8EPy!1y$|*83GSF4JLH23X*pUFBjBe?IrQqU9fT9b? zT^BNzC%RM)bF@@$`>lffj5QFHwCwCy`uZ!32mG$PDuBI<0(S3ImjK_9&hP$vNsPk! z`33P?AOr)YvFGbR$J%=Xu;E@3w?2 z*B7Y|Qt!fXokxxs1XTW6tM_>Gob$~oE~HW`k+Ejs!4|ZzL32LI73S|jvq7uAd&AQg zcIDvXLktNE>lV4WGT=;MO~qYZWrI*rnLG#-3(BAvH~gSx*ky*CoJe}Q4a1XH_o96L zP_Lacw&9KoJ&slk1z{lih>YG6)b=MTHuelIQSpa_BE)V5ZKS{|EJWp6e9Y>jh<{A> z$Jgh`S5F#d@o!w+s;#TlU=H3rka)_3n{Ce--`o@5#3ZRba@{X3C{&yDOFDS#kVOC+pDjNLV8eS0kzc5s%@&6vKe+^9Ah50dMb#i=6!Oq@( z8Ke`s7?*Zj-n;_teVXxqUAIuvF=kce;fd?H^SiOJ5uA~|0wITJMMJ8#I?`czcmb)u zO5N}m74l#tg<}a+V)bu^o8G(o2qSr;O%4r9fpMzpUT-OS3JSaR)zu)meD9r80l_B7 zfWX_5k`i>?j9&U6K@O!I4&7`>Ea}^|@-oZVC@$LwRDy4vpWyhSNaJgop~C~DX`OhU zEX>SNfq~B&o0^<|G;V}tnUZFG{_a34#+h>G4Z*z>O{5Fmkc#h!BANK@eHE}2UF#y* zfh|t}TGBK0fPI_Sf7;=hiqtgu8sk~)X&4!|=b6|rgV9{GtyJNvtm@dT6W-S^Fl*;+ zhtZ-!-2SXb+^JSpwA1z@@ykc}KY#!Fmg;z7CH4AFKT`;&o}1&(FQOz>W`D*Qa&dUj z{*4@2;7sQ7ib+|_aer3V$A`Uz!rWXN#`l&gI?3YZWii0u-a`qiW+9)AYB>x)gA^b z2p*@*st);6<<`@3_O)_q5UAMgGv24X zONotr*yFO#fKxBA(5PZ~{L~MHC3cGP50`>g3~H5=t2tk>u6HPD zwP7s=@B}N&x)iGllM7Y9`+8IQKNb6LV7;9teajmUadPI!n%N7Bh$DSV!P2YTD*6~p zZoo^&GaDqG$cg%LZP5FO_pB2eq4~N!x={5+<5M#>#QVz1^TrgvKapFZx$%>_zU%6( z>j0U5f62^rrvII+d`GaIz|D_OCAzw`&PTU#%hjrd->kGhe!+j^vSYw|h{95PdNG4G zS$dSP(SHo^0hr3w3^g@jId)WIBmt?o%sIX6eCrDoMvSXru4PgN+Ms!sf!{|%!izNrgcSc`e3AJ?^ ze|8N>&&3Es-dH8oIlk}M97yrr{&BtX#E7k?-;igxz(wM^o1}!V)~e|Z(cC`t)F6yR zke9copx976hLWNpEhltk zXr#Z5HZ{C{xTOYGJke@xnZ&xLxXSNvWo1L9=7Z2o@4VD*}H&s(&Q|ndBK_gHl0E@*8WTI$!OMKWzzrb}L4(Y&P?4 z(92w`{deiHwQH6)w`7?p#dr)ktq8b>e~+{WIhtI43prSD1@KVa0LDrR@gln)9b<~r zcv%hJQb&Z)b3@`FPw)7JX)*SVLoGF5%(L&1@ZDMn{)# z@36tk#w#XM@B53ys8I#bnNekpz3mF8p^=x%ayG{ox}}3D z#uE_au)jK3xM(~UacafIg~z7hVe@bR6BU{XrJ6b06Y}ZT`yAqfW-qK~y7M#>^fH?c zj~pFm;VmFhQ3(&&9AQO%_hZq`zSsw!M?>iUn-D0%!W>=UP%7gw@C$<(P* z2OWKYh=Pw#3F|F|x+MB5MGOg8y2N<;Sf4f)J)N;!X{;5$z1DJLKDo?kCy=o~H#z!j z{lWsWxP;q{n)gZ4ej%2&O68|Pw}AxI;L0iQv?lTr$`6N9>elwGw{jCBTn%}G z((8%$c&?K5Dlr2o2GSU{(pJy!UHy^@WhnZ7}&1$^wL_s=v)rP>YL8%a{8-q!lQ2eaz1{8cY&J zBXwzCB4O4UWp(?7jflQnHKcsrg@59*yV0KYF6`^zj}=VJgs>FnU1S3_P()Q!sN@9{ z*~JI&+A}tfH0Udqjzl)7B_W&awD}ufcB`xjwJIHQ-E28zQwjf$QHIH;y4>H{-?}do z6YsP1zr2W$vDa=Ay72oOzrF^$H`DXm{A(2Sn#B*{=UL9xtI99cZ>eC530ZhTISm<>wuFsi3y7Ef zMN7~2#Kc4js?Pbn{=w;Dug1nW-9g3tDCAgVX8maa5#+42bjW=Fx?V6F0|PJsE_zAX zWkhuT$FR?DX+8~uv$($}#|n&^SmGj@R=>bBpqXS zN55CXb@<*@`kVw&z932=;Gl_ad5Y@l5id9W5(UsFk;62cG5~>Bx$bxJ*>;s^Uai~V zQqlX;kmtCAmeb`}2y{EpK|-&gaz6K(Eqf<_FrSd2DlhOoG<4KqUChZiozFCRMw|l>^5F#V7Dwby_yDvMgb|N!9-RBse zTbO?ii1hHx)$PI8V?Ei3HCy&u2wLx{+FvR%-BF-DzuhQ5!oM&+e ziCW5_w}>^GCYahl_KTT$v_Kh)%;!&MTYwgq&FIMxcU0qr+G*#oWqODIlVyP#lj~@F z{6ATy_fMAP%(hQpudQ+V+?QhmuWK}@jo|C^u)F*;^~=1ykX0$Q+gfr@=XDerX!g|# ze&L+wY);9WCf%nBGEIDR^B#j$8a-=g=O;0fy2;8qJMwuz#`gNS5QV!WEL}*`i5S)w zJYH5~v0X6t*DH}PC)s$BfWo9*e=;J>M1y9ml>n7oi=mL&FoZvKZaYqicj<4gAe z=xHy71U`XkY{8k}s>M`kx!$jB&kH1PF>u~5w8UpsRp#MH?A4TQtF7*J;q+aR5_=+_ z_GlviD~fUV55Mt_PjFf^axNRCEiS~uC7Y!!jP8BsUOQ8-!AzmsS7$$ml~7Xn6hDiYOr0YxHh{=cZ}s|rEtkMr@ry7hSRRz(X3)% zE-kw5l`e|>FdTh3c+(F%((ca?%Q=`VP;PCw1yd+J?V98Qdo zK7A?$ldCL~MKj-kUTbc-0*}(%H8mB)tn0Pu#Do(3^QQzJOGZek{R^Og#MAaLqLzP9 z>!n>Z&Ni3F$76K(b87lxp=K|MeBNiE%I2a(!$k3}(Y7PmZ zm7+H?qC%#1lHUb~)4kp?5HHm0Yr5tqp(rvxhb%{9ZqStF*{@J}T_t#$LObwiU+8Uc zURruSYYY)Tr2YuW&M_rO>J>c2VO7NFHU2|}U96RCF~z{uQUvWfLq$Z4P@>g;otH}62JE-Dt+?)j+0>39O^d_fR5f(xCk z@1&G9`eM^}fSgslxWt4EK)?d@>dqG$6t-UnM(L8_BsOS4GboBc%x(LsT$XAg9N@spJOi zn3cUueaNq%y2)2mnAdcNzL2DWIO_XZ&A6}f3DqMJ=0|p&XfLBqlEspw6Z^F0+G$Eg zQoki3eLUQ7G`ed_rQEEKB#P{K^cB57;&xGQckthq9W)(?!I%`9szz=jk+fN6_xv;$ zVO}Gb#GultQ&_oFjmH1j>DfmSLnxd`d4cmEb7sHoFP^0UrwJbC-Xu!}PwY#RtZTlN z-1b-}dt#L}c5BN=u7e-Kv95+&LrTQV%DryS2mf{>DC zpzDT2)HVQc|D0V$D@L05-7ec8=9$8~oUyEM+<`V&WuI1yDqfw-9BJomF6I^AFMES8 zsVc1k3e1>7zlyt)2X-bDOIob-{r(;R$HSBLX+RuF)NjxCLH6lS>^z&gv?$fDu<>BQPE%92TKcQ( zQDq$@e}m=W_FTmKuG)6#!F0U7s#s>^&)dpG5jND9p@yUU1^v@{O`pA2^l*yRqOzx6 z8xXu1bQABdFJ8B|KC#;g8Hw#W*_p>2O5ZSE8S#8{$MLM^5|YR3X|OZ~=~Pxc5vJ4+jfd(&{+ER#T}%jE9)-n_tGJi2W=M}tnRA5HTn{o&|K6=!k5t;4Ihq%N6 z96ZKuokC7`;q=a>Fy;LLIjMFI9t>F>Moeoij5kN(;6d%jCn0XCj_Eh>W6oRHid6P&l7e?y$-Xz`xzu1Gr|prwoqeO zsJ3)CoO`*eDovDI3*jxkO`e4bAg4zTA@R>+pe<R9cq)F1${=5jM=PkF z(QAo1y+jZfUto7GU;CC6y0tZgy0?GY;S(3jakAt!&opzi6fj|LUB_=HlDEwSNY0od zh7k(zLJ|)q=+HQBaJ7HXHeV4fKA2GO@S9uS?a=H0xgJ6DVMxf9AkiP}lE&coiGzBP z(@-aG(+uzKr%@L`nvSK0zB`?Iq>t7%Hb6jbJ*6rGrL2brll(Mc5QggcXA$9N`{2}G zCY39a%>OnA5wBUdmuAyj&YJj+dPo<*pTh4RGqCg3BkjALpZ(&nZACXnrmTj}J>0crh|u>Ts1K z&!jt6K|sZ0w<5NNGGx|VMJhet;kN8c5MbY@ROBZ|ZK2v{73QiXcpbtQ7A<#jx5 zsIeZ8{iNBjv`y$*jJ~90^ZTP27xOKW2tAio!3kFEaJajEe;Ab+(Gev)VVfVA2z%l) z6q7VgrRn9vTl@geNobVki%g>&TrRJ)bekld(CvF|0POvVi|=_&K`fIid-5qG^a#TF zZ0iLWiFa^x9Evp#2TC~XPFwItNh76=K#_FFEtn?&2evQ3paMiDg)g~PE|pTfvHmns+VX9-u*wuIajh%t=#-FoWmv?2pRRu5>ASFB z#1AidbB!N|=aw>?uRnhI0$_{8pZICX~BL zK&zSi3G4|;!z`0~I@e3(u70X&U*3*?IE}|wV;it()C^CW2iW3GDVu2f@}L3r3C9Pg zdfU|A%*T*&!>v+Hsd> zn!moUqnu!mmnPKxBujJm1mk+7(T6gA)9U0%ZuDSw?(Mb?J|)*u+-3TBCHiX#5`|`Y z6x-$X6Q?w`+oV&afIV7TEw50z{|^I4eJt&$*y8HpT}Rtgd|=k4hnpY#!|Hn~vm9bb zj=!$XXv%Q z<2W1*r}l}Ch36up_XUU#JSXoo-f)ayO5?I^z4)^%GY~gR@nrPndf9%KI)0E^+H}tY za!VP)cy_!f{Rko0yVk_=NPN#>m(Ol$%NBWh+D(jYoX9gEwQpRgn##|Al~d=6vbh<= zyg@9LLq0x%EkAO;o|6U`b>=g?4<~DN+`Kg&0-EAJeZ+4mgmHJDDS&q~kx--`VQpTF zg5kPWaQ>*-=;0Ve#_{(CUqOorZ$FgA7jB%mD7&{t2QKrL%6AkLrXZ;l_WNRL;@DlvW4s93hkmYT6Q|1Rtk z`qO^fbRGIevPsuEfp)FW)sV0LHFdRwv|l$~|HSKoj>&OjzxJ3PV~e$)80;k3|H?fe z628cD+8kR%^Z(=4&v-c|D)wit2_+gOG5hdAme)>0{5p11!pW(9f}_+6(ihu$s=j*o z@~rHAYhW)jIGT@30B?6fN7w+GeQ`%5hie*uDcJL9={y10#5!?T1HJ-}+n()T_f+oVJnQjq%g? z+!0!L)Dr`dV;xhk=`js!j;AeZNl4-NNIo1s*tpf~7d<$_9|j=)QD_nB&bNx0+?EA> zHuhZQn_#r`gMOF$Q|ZARA*%aRCI_eXI(7X;p_kI*eG{EN>}((Ac)4(H|2qr7X0grE z#%e_nHNq)USBJTBvP>1poii5P^P@0iZ|NCvjEv~A%zBALK{(IQJ>JaU%p4*Cf-`LD z&<7K&lQ(k;7{*J? z)cZ&B3r|bD;#Ss6IO5bd?|FG*j!$2M8W&bf!fu_9YKnDd(USc2uI$~8^-P;iAr9L_ z^V(=6YX+;whQxwNZe*mGw9;jFg1T4?A(9E(1(ErMVtN;uHf#6>$H7-X4o zM+cciYwJwNB@OP_Hc#dk0z+ofrQh3UnJvS@e+yu;vaF!M(^vP(5~}u^e}4{!BEggr z7>bMoFOeyN*Eqlw7I*~!yfy@0vHOU6#?h>ZcY}RhuBx>GdE>mchJCyY?jwW3a9Nndx({q!~Mk!R}`sWXv@SpC%A@umXYgvv+LXHYwjDJ}=>Mw+4j#=?l;YfyzJ(4*gV*dJ;2i+kOlwMj!lB~n z&?%T^pm%)~@O~zsv1P$Vuz2Q+mgWDn6f|d(Ty{TO-Z5GF6d@4*3qv9Uwpih+1p{8E z?MR*usw)9m=hucfEK;k111&Q%Ud~ujeos~SmoMvUT^K$-;b;35Fm$;{$h@g6u6-;i zBDWrld!Cvh&bZTOIPj_ej*b!H+*GzV*`o`|nlY&_zdM0!{?3PXp_|goH;$^-rv8>DFNd>m7ak zD(?th-tP(*eCOhVgN%G~qeK=RyYCI@!(fdj`(Is=b~^6wX%6Bx#?LHJ*}fJ%q+?0=t4;C|F?z?BMK&lx;3-ZqEb>5klkfY(6A ztAAOH^{~OH)M8UklN$s*2z+Rx`j2{u;~_;~qEj~rhAGb)7(~E70H7}q3D|h1;3x20 zNZ_6ZA|%vhJ0KvyC|UONXRko%*IvzOQsF+(saJ5VIp&TWJ^x2m{Xxsd_DMNk&guSo z7011mf5SRG5Tow(4YI+qr=JZXIN4554-4zNvr3*`n2sh)r+TfOKB&N?@r9GdD1o)c2( za?}3mL5VE1+K)dv;R7WcX_2sAC7k)g1mG|!Jqz80Ag+uMrHX5i62I#V*uM80p~TOf z{$P|0D~7|u2*Jd}RFpz`c27V;5=^JX-9x&)jo)g~NJ2sa>*Rc967?-K#?X{n2O{MM zHbzHB*Sfgq>d{1MV!lna$@}0ZoREO0pz7+NZTPlWjgo~$zq-H#M}8soZ3QAm-zWH2 z6ciLOQ~mwyHq}C?XyF?A`iPLpsW)#iWPTP|2Wkx^1c@e_czPo9rK9ok*8LWEiuC;$ zqY8Om%JW?Qpz(m86EAo`|Dkn2r87`?P0jii&kT#p}kFmY5I)B_*$kOk5nC zwfQRg+NGj}YH+e{b`F`Jhs9fZh+n1*iwXE=nYdd!wT@7eG8y=DOTi?vhUAiN+Etb$y^njrgEkH4@PI-G|4*yL={y8;C z1tTzo6rE%YtDx_TY!Bp|oDL)exKXRBoqYk+oUypd*ZZPzx9#i0C@7nZ5Ndy%`%@Ckq1ci3*jDxe%u04&A9#!}d~rVi@tMfA4^i0yB6)ZstFSO4gpQdx=v9)#jsoKO ztxYl|RkjM{)ic&tlg|i|Y+*_oe3REPSAWSSQ z*=1!GJv1Y{yx+wp_x7wMzl5wEtqXpvE&j663X1^(tBVl>=}&(==B!QP9~U_oB;6_@ zr_PAs;f_@GvanD)YH+_k(x$_cUmfcwS%tfQqWnoSMDa3We(F5ehdqxjrZ-?m6nPo; zk1yuA6RqJN9umh^{5{WhE87&%-|dLJf6pOai>;`VkeCQk%Y=n6M7$I+pe^u;bb-NZ zY4HgWj9odym<&IEm0NzKJ22Kq^uj}!g zpyp$=&wtDp>LIX4Kv33ZR$(W%Tk!MeXAm#{hpe{_t7_}o#@F72l$3->h|x6+6R zh_s{#Qqmw&q6kV!C?Fz@ASFt72uKPFf~0gvck>$?pXdF4@AsX5&UKx0vDaF2&N0S4 z?s1PXe>mfbC#uijyplv(EVC9QR%n8)|G9t5XSGBL@489+V9`k_dJwP4D}1^?ko_Mhv7Pzy#dr5edd^iJKjH=X6E1&c z-_sM=liAdSGhnAfM7(Wb(Mb4OHL$sv3NHX3SC0Oi&SllOUQWawj-DWF8!Ta|op56G zIS1_O_b41jOW&?%GSVy=D{g5q&6ty-`J50NeV&#!kljE)NC+SK*4Zhi+pp>B&Mdp#GWG1sx%)M>3GiC0mZcU z3F9MTQecG>n1=g*4I}<<-x{0`V-*w@hIusK=q{02Momw%Wc95__@6;w?-SKyS1D!3 z(LasDGD{Wfx%|lEwEkYUL*M+ja;Zd@RmkbW@!@-os>KOZqF%jz9oQHY(O|uJ{lSBH z*b2?(2FAwnW@bG+rPo}1zul-#reky-u;?pIx zL?T+Arlj}|*!}8Mk(i#QB*i{wU??HlkQjV#8m!{)7OVG!j^O$R;is}PBJqp4t>1`$*x85ICzNs89)_J8MK@E*{^xL0Ebed71W&Mph7#4U?7#;n=jCAq zm|nlrca1e!K89Q?8|A9!c_+MmT6JLIo3bu4zvYGa_vZ|wyQwUFd40SIU`!|qx?q<$6MNVY5=V^BgMyDs8ST@Q{b#*_dIkp1I)4S#Un4VqX#MQ5oZLC=`e%cKxU32CF`pX@Z{L1^ z)2)MIck=N!%D2qwyD&8~GqUckub+Z`6;tFF%LP`TuOKJ4ye2QJ3TsyNx@ICi!;8mVPQToAVgzQ`ugaQVmZ{NgZ; zT2ElsB>#6to)0hI`RC&QxEG)iVusu&V6?rxZJ3V(D|nNvlOv)#k{;m5J+8U5HnXw! zsir1;eZ5WUVP!G;Tl6bEt!tURA`OOhsq?6>lvV$UsTuexQGZ;;8DC<~OModqULr4H zfN4OF^>uyyayTwzOYJ{?XtjmZq|MU_dG~Jk8KwVadxSo-pQ{>4-(-;;7g&YE zzOLztnj1S_8e9FDbWHK+QA(zb-%-C`n9T8{Of&SbtZx3iH3?lEU!h@%&m{(IOd=tn zl325-!QrC+*vd)Pw{GHV{Nr^`Y*-_%m^xge@XH=JVdIvmMFT{z(^H11&`!!X!D6m)DxDG*AQzOC$7 zSZ7`2t6If6Tn!pi@;kAdnwpw`uJZ=nnso{W&p%g1JwH8vk){@BNZMq=N$pQSKtPIz z4ZB6P(?VQ;yevY}`~Sk|lP9M9=Xdnj*GfwKop4B7m3p}R;jd9@H*eY>dt1zIg1-Ej zkSnyqy!^GkPQHI|z|YUvFo`d;mkW@EF-}9b|CN@Hz!e%7!qnXx(`XG}-z?ED6$^td z+K-Ej^5;tY?S%qHW!>G~jVx4f;(uVjRaSq=i}(zOwSE~|QZ&1yG)Ybt=^aqd$jaKx z2;mz*4Dzk3tG*|##Z1s$;V{F0s&P1g-97s*GWZr-NBQInU z{X;uXN_~Xj_CiBkM8Pg*5#i>8eP zPxx2y(B5li{GUJ7G43v$nCU#x^_;$xFJHjeu0MK&gP1xwN&UX`AyHcucPH8q>EN@j zRFkQ7adBbi=59Ewk}&&TIOak}^t^`m=B@8dTPxpYH_Ytq&sthilF2ympXUtk?BJHo z>5MSsUL%dzS)DMSTk-Q5`S8t;gtvbi-ytN#cJ+YiK%9X{RU;?m+s5bU*RQ)D*H5a9 zKECwYIYeH|8YSv@sl9z92^*+m6zw@ zq9T()GD9W5Hu)b|#96FZ7ZgYQaBrb&eWL zz+(>D+tUv=zqq*VyX!5D*({OLYXG(Lg&kL9$jJPgniLRO6_pnqk&E1HY}7Wz;>%}8 z)96tob`Q~c_u7s;4?Rg3;~SDg{{`iD*l1r&yXEZn+6deJ>(QwYh#WWPoFFWRA7Im5 zPIWCUDnc;O^R-x1VzxHt)GW2Bo6smua`&XdZRE%NX9Q@k&xEq7TWbL%eAtn6rzq)V zWP33>fk&{x$49DnD5Io=0rtwr=Nuq8vL$mT0d0hnL!}c zdDT0Yh~(w7?>*os!r{K7i=YhC{^;uJP6~hYmErRL{P~I{&Z{egOd{0YF?-@1#i#iN zMc~$!8)Pg1{XcysuLv;Ie}uqm-ncWAFXd5Ycn zqE!BGQgm|C1~1SVqtXx2ue2~8CIW-KQl;P(HbM!q(TAriIT&~f z=Mbm?l$YxxvQAF;p^E2-=@;bP-Ag*injO-2(D{1m*H+@5^=pJ=E`R7Ym*(}*laE0` zT)U*A)%Gy{EVciH5PkiWl-q_du)0O|W?W(>j! zlyY)M0|Nv8fNyT!=7JCou&RmKo~fGp&-^h#&D6U=N%zcIIz{g9{3=YT&u#?ab|V@Z zq{gTs^4J!_0_K;QCnU*-l(GaXs6@@1$?+!Xyr(};I{4CYYk^&Ujr^VZ8HACKkAyXv zhMvA*hSHR!++3`fM-0n9x{E{7N~{SxESQ|PPpK}b=`o>RnV(S+4r87U27ZQ}wJboi zY|NN{v3Ac3vV`p^ESRGpI$jxE_(*tkI5-tSlizN~x5_Lg>;d^#iKSPvec0t1^Mad8g%@*yAq4QcDDSG9nQPT8xX zS^#&t2*=P3K6^eyB}z529EbF=?^@o&JT!9O>TkTsR~lU)C?Y31JJcHQe=+y;Bz+=_ zKs(3Mk|N-|tXxUQpFeDZm~2~GelK}e*a%!~37)2bLxNM?h$^TjU5g3Vh+J&7Z@Ks*6K>?uZ)C%#>lqlz+x7a1<>YB@$EzadS$y(XleTM2E+F$+^-PewB7)reC zc2q&!*=ZfUIhQOlDO!Ws1%6~;;CFF&dvU<}`T(Kqqepuh zIcZ~|DL?1`>>Q90;qJKkMcq;e^c(sGz@bUC0Q&<9j0V!+utFy)h)NmBT z!aDgc+|0_$ipXN@B|-Zvt?!SGs>55YikoB zdiwe==bg|`5Wv3Les+)5(m#KOJnHY(ew?|A(7fQZjSR!%T;f#Gn!PW~*>Q%8b*2M# zfBtl}aJXZjx8@)r?$a_aHwy3v#4Xqez!K{F8}xIFi`TDRb8TPjoDtUJcGu(n@cWM^ zHRkwoQ&G(zNJhr=6(#cchK9?CA=B^k9US$#vgj3-Ga z8(C_R>B3*i&z>Ck71Z0{aB?=UeLeR9jvv|SBXyWn8hU$~A!*JxqS=G&g$jmqpwkMu z?DJWCyh-RedDgaf zFA!tS)%b#hvM~gh2vzZ<=}J}JE*7Fbix1~PA5pzrI~Ea1CSg}{BQ8E3m(-??hGG1D zbTpUCGkI9Xjg4{K?)jb*HoF|MO|4#>WJh03E%R%P$<1x5WN+T2e&@Sl0kJxSi5t=6 zGzI5AhfCbjH5BYFp}tmJRfP>?;1d)rEFO|vQ-dGS9S9j_R^NgY!zK4&w6c7R-Z;Lg zrR97H+S-;}5AeSB&e>VAj0{3O15QQ$tWkGKEd%>3WNPOit>R+qEs7T56F&*pi$4L!FleOHgtQP-i!QNl8FaCa8u#&SGwE0V5< z?0Nn$zv*FX>#(^KGPknQ2(b@wTs1ulZVAxf^)!`ZC5lpnoQ&lSFr<2Ma)23NPVw-# zJd5`=$N~0MOu^>PU+}_0K7AtP^j>1C#e+B7rsAJ2)O#)tVSOegY95JbneRn&drEBwDBe-L#Cl1%5n2johaWso2+FqMsKfN~RDh}=& z92bP0S3=UKtHljGk#rK@(gj&8Xg8Mbwdt(ULE<~@cYl@Un|YpR=XU+`f=zvetG3&w z5z_cF9JTVB$@Jme%0G0*l2%Wy)+XOO-64yPnG&gjW~0J)gKyrU>QrVa-hX*#j;hnCAPQ~^K3Mn=SYiPKhn=4<7#zWfLT?8bF zyeDZ((+UeMTZR^2o7in3TFV5CEW*md=Y>s+M~x73-)pTHwA>>-M;~2D=fNx%)hjF_ zLipd5_^CmjA|@jbz&}IsE8QrHx|2#4GRx87VQwTjS8bFs>EMo@-ZS85J*$o9wtDVX z0c}0%9Xj%#r;WnXZarC9c4!K^xNUdLt-?7&%}j{FOxyLg1CRED`c0LcnX}nQS1nv! z&qHX~EINk(Vnou`++AJqfJloLYZy_ezM9tjrKWy$w$i0s|FSO5|arfaDU08G=&4CPW7?=zXJZN$lG=Q@@msB`U29vlt^;F)#SHG3;qk0!UZvz zFRkBt>}(I36%x6ykdkS>%PlA{bL$J--&ZV``&}9pm50_4M5AOdM5?HUPy5i)Ym<8o z1j*V%3=A)n*F$Jc`WpgB{C0zCf!a`MIb8|}>{dqgY<50AXW`4C$^mQ>;{WmEQ=szR zCJYG|Xk@-sPQW}BaMGYKdCiAeZf+`xb3*X?ZxgGD8GTCqPypPmpB+q?yW%7RDXAP) z^ytK}{Ely-5KbtUzm^K~UQ<&DQ-a^j+SE7tI+9BD<9atA@;JMs*HR$SH#RsrCbo0EZF6$rs`9SDUl7y*)_%Lr4WeQRAbc zqObP7Kqn_f$Cd(|^elr&7edujI&kidcg@*>rKhA#H{y~= z!d7_xcikb>D7~|iK0KHHVd;>Qscri}hZ^t4kH5-t6M}IizQKJ0|LzEwvzVFrQHc^H z9c;dBWb|@xPYnBMeel7MJ*EFPV!$R$_?v&Xfp2wHb%PLMzMPz>Ucd~ic2t* zwM&pVt5G3j_}KtEL?@KV2-(*Mv`rUu9ga~m517@O#~7wh+;xp~uGUP+$f7GPA} z{Ls4lmDsaNDr(@&ATm4;C%$C=q2!suU{z&hB_*JK47is34^oqm<}D4i6o$0_@rI`) zz%xaAdmjU1*)q*CvdxK!>tAt_!9!RJUZ9|$Xg)kN$kQ3WUH4<jH`*eW%hiD1r%WeEUp_gwl z!vPl)1A@`q`;Y+sw{byGt1E4&;%)h8)tC-DhmhR`gCfIbWqlz1mh8RuFZg$V{pMO) zjJB3e9RkLrVP&Vu@_?Gu09Evp>XUXW-!@lbf~=Binr7n)$wYUGx%a_P#PXxZGt?9h zA=hYYZ-3f2UI+6nLo+g1yk{lGB2Ql>GW_zbnBrm~qpICY00SX=Mj@|X-vL9jejxUh zui$`m2^NOxbYb4R1B*K1F@OeSqILB#e24By+a)Ym2zw$B3(+ihoit%fz}YM z^_-;_3AiR-WFI=Gb0r_q*48fCyYVGC8S$;XSa0gsKNK4?bv>tgi*HN&wr1pLH02M} zcPI0vjYF8T#CSZPWOx2ze@e}0kjy?4({fpwltV=A#gA`T|5U%H4;N`ZsxB@pL}^lB zcuTcgx3GY|z5z2R1n9(^vBkv1oP283wpSa02K=PI%&&~wGed=J5LU!TeP3BzZp7{PUG1o(;m%$M{J1;2>%2`StbdNh1mhUKA8|QpQ&{ zLK463)3vv!^uLb%pu1Wd)GaJhZA`sp>%D7sb#dE+3=ey?-|uK@)I$Tw`$YoGZ1|z1 z<~{iI&AtL(%CY0^(zOgeAAI0n2kTOJpH!-gX;6MrL}(N5l~-T8u}aR;p?KKCbDHuee11?PKFsSi<>%rRz(%K>baimoPyQBvA9`pmvL;#!pFbAju=CvfMC#cA z-QJOwc7XsX-d$~tg-3g3uPH^4y2&+`C7}-n4w38_v*_$>8ap`}Yp2I0W4ZP*d?p-D zUlAB=bF(6xKDC>HZ=TG~%%tS}WfzwqVUm&Atf%_BI|68y`^|W8rUjWL8cd_Kr0?W| z!Hn`mqd84;cehm8-+VHd@^@Az=RyA=*n}xCOw-fTP6=7%#W;44ndaoDsavl|(s3F| zZFKN+ztLBip@w`oDl+PL3Sp(Pg1o@|xZd90>!fPn zkw(9WToWwOxnocH3lif7^Fl6O6{gFnyJhb71p4~=>^wZt5;0|tqM!M%-o{Zu6EnOU zbw8Y>qNWCysbOqP6Fa*M8C6HTincc5x20R#uyUy0U-Es-bB4OLcgVJ7>}W(>dV|K) zS*xzx#e?HYEgp&Z?HtPC`L|jZAahLDa}MuPb4`(tViu)4_vv>oCTGSFL0p6|fGx0R z;PoeFi95Q`@2Y7748$jZW6z(nHsyNppBG*oeXJjs#0QHQG?(H`IyL1JFt z`FdD2KAc*-#jpPUkP^nEVEgX1J1J1807t{k9fvX+mCWooysVAV%8prk_~ZvBYsS3D zjJkHp*U2?g>u9aGo#(Es`}Q>bMhFm?2x;tt1bBm#@w*6QG9(rjZR}CQaZ1m0TfGm<$Q=pKw}t^a z)5@h)a$&19xmiWXA`YIs$F;PKsM{!AT>{fJ5Ax=u-6pf zCy5}t4b<;jCL=Bm3Dm~DcLy@R*%C)XG-&le&SbnHIx0qkS>U`dzfA3h6AMrxQw?wq zINtsqF0ra-BfA+ksmZ=};B%g)P>zBRD(Aq+n3<6QCptJ3_Bqrs*5wW*pr+VW_vv@< zjG8u2@UJEeX_%MiJ;NTVWJ)zV0pV zz$ggc19m>==_tmxKwTjsC@2TKd|uwIL7Sw+Z{;6f1_%FWpO`>HZVwTKqR&dVVv5Sr zavD;U#(CG_O)H=V4x3Cw*XGjvJKZU252rs^bn!Km2acH#FczVeITXk-{KZmjr>Qkw zR?ayX2b`X|LAd>&jQ>FR$79s{<$^yqy0SYhth~C+zOJjOvf4B-6Y}g^+u!I${-nDQeAidcFp4TkkQWvTPuG}mFEBTih2rs<(#MpD z2ILiKJTf0czhvcZYX%+XbnF=!g3fVbi)%_?}Uu@=^dC;w4CN%-2MfV-DJJjp%k}C*|oCMa;V2l0z!pTKIULXsCU_U_|=s1HedYB zuxevI;C{@$=odoK9|0#71O@3|znly#iE*l%4oWv9h5meYlc>b$wHM*rC8Xyrc<|72n!h%lzz5G06GgSML!8CP8nd z-I>?zPtHEzphvVfCjkYJp5A*wIubPfhu3q?+LMrAqk-?W(L9df zO61i>%*p@lZA86pE z6%sBjK{eny)Xp;W@48{6JHSq9YHQQ=`TP_p1y#(%Q<728kM#7p(Xz6&6n_2;*J z$pK08(OygqTDi5q3A(&~^`nxY9usv2+#*FZ)y7(kdRvtJqel;1o>jI?qA=n#h#eqK zGyN%Z`Lb3Os56k1hHt*k`$<338c zwPare7I+;)PO&S3U7b6piwTixp(q4$4@~(Cs1M)@qeOrQxQqaF2Hi{3*59kEd)|<( zD?sHD$}kfpSMEeH6A=%BtO*oE?7R{2#2qt3nDvN`o&?(~1G-&POY7~c*+EW(!o5gxC0hoRPix1{c zSZy59cZV7@A0R6e5bTZU(Ug$hYkdrcxh<6p6LU#W$lbf8O%xvDGZ=~-j>)-W$#Fup zwjp%pA&ac|T@cnm(df16Ycj5M_BG%sQ{(7@U- z;8HqEhF1I33=cJM5M)0mGa*<0Ulrb>BD#Q{fxrbDEKK=SQ}qG^!&kW1ga8)lyYDt( zsZo3?nB%B}yuH0t*Skmb=gwK|j*}!Q_#BxX&MAdFo;jOx*bx5q!WmUn|J2mMxJg|v zUoxns;e;us)qxzXzvmJt^Dv)3MI3mAf>1Wy`USgZdg?z0*-<=cSn}6T7b>a{pN%a= z=Y*rx3-0RcRk)2c7jHW}@xKUpuq;JhnLCf`mH?dgqY& z2W)Ujnb18;%W)CkNfD;e_wQn3Ba|*4N%G#^C!PJC^t5xEA>RZFOk=f#E7c!H1s>wf zQVR)nl448jA4oVZ#DwoD1i-BR-6K16qJuUkWn0?-FK8&xq#Qb_1Ps~VfCbqWN7cf%purSHooND`b&dCEfMjBLG$oR{eDi}=HpZsCPYx#8`Aiyob`r1o9EloxuWd-ooP{Eu_Q%TA zKTl7nZEeLo_okITRT$JAUal9skQbnfIJpUFVwnGzud@P_IGsg5Z%e{vZ>KeR(=olV zT75T7u}OTU3Rh0`*8Hw0B*GvR`IiVIvIXCtx88dWih-;wd5{(cv)@Vga)8RwTDwV2 zD2P@ebyNXYws=tZJSb%KaHBR5LNJ@PEp7A4$*~7qd_vMN-fdqwvcHd8b2vSl+=IQ^ zc=4E3M_2Cl*DF%B%0=BEnWXf;Vv0{1*#Q>Pq^e!dL`g$L`(-%B9`lL8@ocnC~ySsAus8h#M5+hqv}!_y7x1NRpgD8|jlhtf!a|7~*O zbwhQA3L=Kp_ZpN+lp|DzE=fqR&9n@2JltK-jY!GKA%ij#gb8*|PDM~ghc6ur<3lYV;z19uoLW*M?GRCEIJ&wP zxgP(tfn z{S^f|12T;72I=G^%q&(?S6?)&WtXxpPAPDLCDYf>?s+EZTZSFXu8D~qMJy`h05|}z z3H)Dm{*?4|?PXFhPPmvSSkz_4?VjcQ8hq8VxU>|MOm~Ji9`yE$z`X&+^$8Da&;|WZ zK~c&o@+TrRd{98Zi4s>XF*lH1RXU7yQ%L=R52P1`rw;^WkcDG6q;V^0Gw);-6j&hU z7#I*=`!I>;0kwtD5o!OcR>nafO=)2`xZKvpxm|S&^fe5R7e&@Kl4^rJM#Zoo*a9Po z-{Y|6B_-;y%nd}GXl53$^@bA!}@Ge46lhbZ96H z_;d~ZNB*sRWMm4K_wQeLSiN=O^XJXo;aP@=tle`u#>P*+`z+%hPO+Ul`C>JOQOUrm z!&a;udAyR?IQW*L0h z8+-hcl6dfJs81r-Z|j}rauSnQ7T!R{WKxtg&k%72X7{>4RY`KQ+e%YYlXA=D&6_vl zJxVf|!sH{kFR^|1aMq8IlJXAzcRpw*07;LAfx&YorSPUDCk`KWC&KeVMr14uP_%S~ zsC%l+kS>3ed&<;5)(YW+5yh-EM@x3O1?{wFmh6Dx6gIs0{J9_Gk%LE$S4LMnpAs~Naf{jMK zlR98U{=i9_ef5;c&ElN(v{|@P47*J^R&s|$AyMPJWZ_cW&qrvgcE=y)b3jPco_MhR z>c1E%L_ElQp2*zP6p=ajy|G(QQWI2DV*;SP&aMW_qykSHMI2Rhv4vPoWOf;fNvJX}bDMb<)|2R~wAW=0GhAfSeQ(Qcu& zuQ@@$2(1^YlKDt#x{Ihg!=3V>HF=CeWUaT2;Y=X>{oG1zC|DrWC2#U}>zNqEoktmCBWbI&PiF0OWr zVSYqZXD;?$BUN-7vXAAz>VmA)`n9|lP*ja#hRwnS?jLN$ce}3LQI!|z z=`7n%oL~X69W!N|*SIPeZVt2n4dKc0$_cNBGR=p7e19oVUw*!H2n=pYZz5G~2uD0= z>!cD|T%3(nZ0O>@{oOKk{B#i%6{pn9=g$NHgzfE@vhsNw7jtjSu)het+%kOKH*$&! zdICB{Or8u?zl7^h2>be;m$hi#U22*CN%ANAgK?uAN%iyJznzWBf6&Dq!smkq2_Q^x zNlCb3~U~3IPSugWs7C z1Ie2nh$fyvsu0EZX>> zjmYWva0qm;&8^WS>sO;4*b$EGGaBc|#^hf_IpHLOc2P7@9Ye|2Pfal&{~;P%sx z!)BQGz4_~UyH2X-e44z|*^v>C&%5WWd}~RVnA{d^7n4IUj62T!IC?GS78#6f7*5KmkHUMFl>F)5ALEo-=hy zj2&D*kvahC_y40!FrA>_yR1bwLzQh0$~%~tPXoCM96{@b$Fsw6CYS`mw0L`>xZk+J zN_t~pW^P#-=zj3)Ee#EHu+}s8XLu-5JAnRTF@Sm$H08bb+1B@7vNdV!=pd40AW>CS zb+3lX9&gd$=37~9O-)7*JSVtKeHs0Z3GkOWD}kt_@h6ytpl3 z5fi>LKEllxWPHQDMA*_;H`ht+mKAIm!ROmELKy^Mif3z0^jF3Wdu-$kX}^4NquF>H zjWIUN{Sk26LNMGpfCh_z`wD8NZJsqX6*DVRSH66SRuJr7S}IPf9K!i zm=D!wcP5$$LC8)I#k+}`1BUvB>t5AXS~n|df;>Psj)Uap=4O2T`?6)vt^9gUv#xG6 z$J$#h6-H8Q(nr#X%Q`y42=s}>7WKcgDOX6nXN1B-KqPVk(88JoGK_a!Y^C%r;#eE9n-JoDa`ivJyS0l=b^5-QuCN9)mi~+n$kPv zY_DQtFS^*Jb6>bQXG>S=Po^n&-w%$uOv1@&w+*KY~m@m6ydw+ z^AZFLbpb6(8c3h z?7X83EzDLxp;B%dURa^scaz^_9E8JO6=;2?rl-@O#Yd5;RO{y` zH01ckGhIq`1#Ucp`M=J5J}W^`>2eRgskouO{&Q%>d4eKi_%4nl=jV?@bPNM7U-moaTDC_7#L1Go;j4R>YLJM1MLa*){E%mD%_?RPn%-r$B2`enC1ke zupI4n4mb2<-pjN3&$9w1F*hfI)aUEhJ0R|N7lvzYaDl;7P>75;N-!wbomsPXU%Kc^S@7r(=&(%GM`46UYuv$j5ks;LCt^zS^Jb&FyXp)^VZU zRG=)2;v$q>$K+Z4=glGBK7IQC>MxS})^)LAG4o+h38}l%N_Tufk~REz)l?HMF~x)4Jiep&s;l}Kh4Ofdo?9)0n@7K2n^ z$KmjBa&k@+M*=r~%VCFe)N_*BQ5-{;1)sTi$o=sn@z=w$4nB5z_DY~!UtqQ)58i($ z>M9~S|E|I1&26=A_fJs&tn@)(wZN}q5=9E2TT|o`yZ>&T?gvFY=-L6qa=`+Dw+V=5 zyZFpFi9WXFzVEepOjq9^2^@3#`TwInf_6~Q!KI|2Kx+Hn9?m$8yY_!D*?}r8`1p(7 z-A_$U_OYPP3PTj&HAI&AzJXG_D4Y%I6L+j926S1kjS z>t)U?f(=K5#oc#0AakaZ@*)DL2z{lN&@3FxE)J&(ZvCRh;0~xY2Qln(v$DQf1DR#J zlYLpoVZaaI4K;hudv5!)s!GDUbAYa6ZrQzl-rIRY@78yHJ??EEHk+Fxx5m}Ji@mFI zitu$i3(~fi0)v~=P-+NwG%+#30u}cbC_OG*c#G+l3;qHBT=qTQpvL5i&CU10mo<_$ zt(DDU>cy%Tp^I!?2ly88)5EF)0-%RbYxoZ%R1;l9wc!-1_r4x>q+5b+^#YOR&3O%I z^5YkyxiBsbjwXuvT0wu~y(_@|)vpQe(%KT91W4b)KsfvkLtHCTie=)*PXKO_P$fWjPf zI$}LRAd!P&7c31Ym&HZD8&F~+0JaJ?WY)19W-9Eml~DR2P>lr@H7%`o?K#aUJ;3z9 znkc~1izc!ON8Hg(Qtz48#^^1MyStKhv`v~;CS3wbZx)&_(f6mtdgtf7;=^5@=GLo;< z%#kyh4ycD^_RV8TtzHwsi3|l@N}~V@s5vN*{nPpXug*|1GL|rAmEAv28IU@94{uen zoD0F^EZ$E1f)vk8{svn=JiK|084J@1dWjZ33lv}oNWxhlo&f(o=SnxOE-xQ%1?=&M zpHC_(6hWHC;~^@~vD6H0mY-JP_FT|pv-E8J{Ryol&x6ju7F`tYEf;G@)D;KrA^L8O zH$DO!r2xbPRi8EBR)}=BHwB?0KK3p$ULOi-ZIg0#yl2gQ8MUB!(XfMsoAY zou=FPp`#GI$14fC)R+%NXi`GD%1I&fmzb&@`8|-ML(1~>sjz1?v#NnXNJ+NDvUKmniFu=_pflv8+_X3Ad%!o=}71c5fb2C$#R#2`%#4R(wW zSUy_`iXUgU^|%dp&j;M^bo1KVDcbXalFnhF zzof4orpXbYyAb5kP|doYW@e*G!2$4BR*cJE6g!lCZI|PQD$gI2(!xYvm&(l_-iw&@zrl>D#1piPiJEOt>4H686=kVqcuv}_tMwkxm z|J|?%&DVGcL=DT(sNi5_F=)94Or!vGh^zQ^H`7Z+QMR+#F@0FU?hQKUC@zB6YKFlH z7N-^6AgJRYf1q0wa^23(yhSBha951uOD0=eH!-j88&iP}_7QqP9yDgh!316o>P482 z+VU$PcKmIP^SS!FF3h2dIC)Yf`})&Z3NJj zTouZV>>c?^!hP)Eo8CxJs3yzSMLJJ0fO3URx^QrI zH*e;_QO;nS4u3KmsGlm|3S7w8VdvPNQon=JwZs)~B`6}xDLguOQbmM>PyicJkF*R(PTz+MsfN44*txhGKS*zJ9R966&KVxpc!$|;_3&#H z2mI2$IRA9CWLH5%j*+ut+&>4UOUN7!8YP-|8=4m(BdEcw8q0Lp6RUI9sq*dL(64|- zfo`Ob`uc0$8wq1yYY*FNlXG+JTK-AK`k2Mq2DG&)zR_R*0qg@@+(uSiT@8KWXaod2 zf8dfznBWIF3;v@~HSrebKYKSN-%oy>*z4pz6+wk$XLG<<0zo06^|5v(PX_W^4`v5e z_^^?Cmf5!_ikmJ#qm(tFy{4wRYSnw~)V`17TbwIWRkZ&!UB4_lY}MZY2jX*bFgA90 z0!p5-CKFIt3}3lsXk>IlQP1i2f5lwPF&Ok$gPAk}oeSXmiwtO^YlFzF)LaK|KjV5sz1$QxswYiKqL@XBY zFwFK(6I8!{{o3uf$*qrT2T!3#+M=ty?IkVpXKgoX`|WL>Qso$U&5_{fq#q$rQ#d#o z8?8R0^k{5{;bbwtsDjZ2=a?nT-iAtu zxw&YSO1q83N3U(Z*(OO)Ph9j|pcCoXy+X6#PA-Bqh0Z1!6=)#;b+-L^pSg;WTYtWL z(nibWC$hQ&aKYbupW6FZ!hI{LOpfX*O{5PhT}yI`ixp~D4$5>@=vZcypf?d3AM;hw6=S>rhTqlopSPZ$jTRQX=GrtHIesBa2Y6 z6<{$=<=?xK{r4mWV;C@4CXoF3^Pyhq8N~l5`0@w$?#ciC)wgkp z*pcuZc#~M1I!SEVZya)Ra^jEHp8@A@Vqr1AL3Vg7E+iymyEN$b^Pww()V&`##<_>v zUx%f~iDuO6;wMTJ+bA3yG}!D>y4c1~L`g~cU}GlF#%3@V`1PC{*a$*%9l^f$d`Jq0 z0?-)N5xM)LGMSJ7%jTAr-qF#_U%#l%5*xo^zN1^9&Dfp0zh9|V*+7pVdb5ka<0Kg( zKIYiw^5T3Fim+NBVgwnc9vzzT-fOe-3o9q`d3ihw%gY*9;$vDSd!C=Y325XO3?0hl zB}0%n=1Aqa!#z}<(W4+qhCz)#I!1R&`|&shZ>W^#Ntx8j_YhU&7iuM-3)#Q%3!;@?=a^B=Rvu`d460S!R;h{Kr?v~b|8FnbO0Gy3WYAOw{ zZ*(QTSLtG+maT1w*W>TXQK~m$=SLrxT2D52a`Md*cp%7nPo1nd@-d$kL0_q#ToYX; zVwAp!+aZTwt7tL*$aXBd(UYa?>t~dr@id^mnZ+k!eEd?PS|>-4`^T{~n%yvU2+Eln)(7!A z=+2KhhV3>N5rjYIw^zvE;O%u!f@1GId!5%fqTwx*fVoYLut?$}5Ih20T1sLMPP);8 z(b4Pn1CG}cMA&+NTwzq<|-mJW(XP{JZ+xzU=LZ5?KoskN!N0Nt{CQD|LY0X$jAKq2h^`r7$TIOo3X!EZC!FVyxYZNj!$YTe5{kyLe!|iO_f;FAoW@` z`_m^4*meSJ;lJBMIe8f460NI~O=9jkL0z%u+;mbzVwx}4|E5`tl*1)Orc++Lz;|!z{Fvc7|z2?b0-zFw|*wy&$CU$nYFYr-u*( zxk35Db>S(A7xSad&7ZZ}?7hklQTKv}5{doaIi5RDXoPH#A!5T*Q|WMzvB~&ozlTng zwvJAIX68Y$lSMR`-%S}2@_B7`K{&6on*%**L9j7DvcM0pgvg6;bv`uizIb@;`p5`$ zg8n^uI*R_r7{OM(#1;Rps4Pm&yqM6G3e6Y<7jH+Yzn4rQk+%N1yBo)xo$rtbFAnEH z;xEIvW0|euE|W^(fbh}MSWWuT!Gj;*PJcXWyz5-P9PO%I7uQu`n&Y0q&8PC8tv%WJIix#F@fg`vO!;JBd z;3@J<#sFBr9Z={^>ktGycTzfy;sMqM6O2GC8ja3>Zyn)PoVqa>C-z=HKJ1LaL$^0c}&#@(Dxll zBu&N9$#iejShvQ5?qc5h_m}FZbj$WOSJ*HxQU5nQTSF7wkFBJhD4#IRY~hC}#1tJiWsT+X86dvXDMjX|aR zNUm;~l@|Yi@@?>;4*Gt6UO3%YBzApPGL;<@Hppzb7hX{`n$al2CGr&qwyapgX~>QQ z2e`S`A_bmZK|#UBf%s$ggD-$tPR-l22h88kFA0*rI|iz|SaJ0)P^4yOOc~IOAz@)* z+11r|?CseEMLqSSv~PdWf~eQmFY+-txx2_j0?bHsxXIZLL0$>mK58m=feVq-KIR%( zx~ceEh|OQ{3`fu%O2|D_BY$tdhxvpEb?-*Z_al#$%UI1M%;IkHe{jSz?c69wDb!8}HIGKlIDl>7E z%MmhV%#?7dYj*M0&v?mvJZ+f4hGFnCFA}13{cLDgd#d)DR zLA~v4ckG%2S%A?X(}I^uP$hSJSJ2UfG)P8O5Gn|fI6i1x+Fi_+nt9+1< zVexvD*A{c_M$s%|?flW}Cwr`}-A0gs=YzE&0_I~F^ZY!6yo{T3OV2yJ;$hrB^o&U) z71KRdeT7#i3wW=XY?MzsPor~F11k) z2gN3L_TKN-sXoS)WBCWLi}@2CLy7k7AOr^z7960zGvogKk|032k$saseqeu5@F`m<(F54$OpS#p2I zt7>91JIqUTDUr@)eIe_nH#uS6V!}q>FBL9JwfFRXkW&3A6H? z($cd>Go`dW)`ppMjhDS|E;`qxp11VA6q2of`kHZe)^E6;N0j9bn~?SMWBe0+X9y(Q zXCE84Nw~~auI}EQ_j+7Im`XptwGVlQrq>KJnb5m~;zoC!-#W#2gt;lo7@W`&lawsp zp04S|UQB6pCJ9y>qM#k#CMtNT+!~|zvg@}yxnI&ehN~h$M0=X=Geb7 z_Fm+BwY73~`}Z$jDrwU-+>MiBU%4nFb4;t+-M%M^U|eD2DpULZG=_BhfpkCuEFKX@ zv|HgC7j67!aJySLIeGaUI7xoCksI>@x(6wE^ggwtCb-?AUGf`Iz=b#7eW89Xopp+d zlj^wh0Rl9k5@i(+paS}*p?aeN)B7&J2CXQ}AAD76uB=C2Tm#aX;zQzv-8r&P1M9{x z+2Kc*`>H+GVlm@j{9HQ>{8+Lnlh0R;whZx0#lR1?lHB(lt}sWDT5FKIxpkY3#C*x| zEH#m2u)-YSzEc}SPG-3WEMVI!e`Q(Y{&35{uA>Pe*O}4L!wN!29*F&BNq>ljP}w-b z+{HNfz-qbqF3fZ_Fo#||@DQx{RTEuo7r>t9&kq2*G`TJsX_rO!>Q=XcSv?X@yzhZ( zehZx9^*}kVEdZ2|28%upU~c!E&rsFR`kF>hZWMjEW3Murcp>e*7I@w0_Ddf^MbfLM zmk3=@=$D5VT;}?OQA^LBa;=(N*(x#QitJA+W&Be%2w8c}*mg-IO0SkYr#ZJ&cXF0h z>uU5lUG&lhu|SL!R7_`20y-cd^GPE_$O|3)SY{otM=L#k|Ktv<=xm0-B1H0o>lF$Od4d`=Z{1NlK5S|9|78>t}2@If`E)G>Fwe|wYsCkL6__ozITmLYjRvm~P zR2RYZ@Phpze3L5zDQB9h&hgzYPKc? zi-Ul|^e_t}q+>|S@u(}=@5d$8(=CnmgMl{ViqM~_-4IDkTAityCVLPCc0qODN*G!s z@og$v6{|6Wse17n2t&waRoOx}CEwNJ_v3nrXA$JVbx3taztBCgx`IRJAJ-I&R)Z&B z4lPCl3y$Atx>v7(0qGx8voAM+mO(-~R4EcV0 zC-PK`;fFr?pfKCReZ|sruM}Z6=ay>pwS85)AD-UL@2YaE8OR1=%QZ#ah`?8D{0W4! z$m(05fPzfwjXXV&?%W&6&-fFHD-DFP^5BsNFmz{}t5{Ly94T%!^JvrH-qX>5M@RjL zP{<&s!~af=xnzHgpiM)}t_5d!N@<3Mu#kcjLTANggiJ+MtxuHb1IQK6z~fbqA8**x zc`sgQr&S=X4~G_wWbAh(toZ3zfxVuL_}69DA6sl4JS$slr#T#ovxE`E>S(rJX2-#U z4CT5Jz&!e3&$i4#2mvuy)YFr!S#Am*_;1R4x92ngT?hmLWUn_9q=$x^dx!iqI5}fz zyk^$Lm!;m<$%`yYy&?8%1ku(-4sqp0{hk6%*tgJ#Ns@Aa>7G6-tQ|iCH=8o3v=j4A z-eLxw2JE{iB}Gun;Qk`t)6=L2N);Cc$OF4#-gft_>7kj!a0jV(Y)neaw8}N6F$Sp| zEjt~QRNv^zU4Ql-s#SF)%9bp>9sMND?(BF`Z*`|-FVk{KwK$;KbSQjiXkZ`{KH2je#$^2)ThtqPckvjY%D;1SDV9W52tM{RXGX0*by3 zSi0Sb?GmZ6ly8(0^8+BC!BAITJ6h~Cp0wAjKm^g=tX`ghkH$ArOlXLvu2;5+ZOh2f z;%<>TC(M!gIYmWLEioyK^0XU#`@H-VpEpQv8xdA#ma;dlx}j*M_nVH`6AiiX4L2RI zSMi^kn~Q09ckpMICQ4ObRWSy7?mNIM6NH>R1jCws43_3o8AU}Xwj={54*K9UVSpO! zQHSrSialy;u0fim4=Qa8yUoqaME1}3dJ!lVy?yNg1-TYKEo4u>ao!()L`=GJI=Z`u z?D+-uF$RYl#qCFejw_T^L}qx6Ep}$=1oH_>cCqWf)y1MFg{K)+{v{A(@xqX*?E{$i2g%FvNJrjIHQ%7sGEPg1~O2H72R*^Tn5zy?;jsn zK9>-GcXrNX6L8=F?cpAGT|)S5+~m6tz3W)VKGU37`a0O1^`828}KI#HwVYS zPNNLpn&pb&xJU|&o=js{ZODryfmkV_7ox0eTpe5dNM9mzP_!0>uylpCU{5WV2gSt1 zfYacO&fL*RQKggE29!{1iWr z5@zP^qIX*|QjCnxqr0&ueoWc5#{w`acN)o44P~Pt_X~mBm3&91$0`E9f4v(kR^wCS zS*$UQ*KSe-@mkt;a|!r zBv_72^`IO2kMiqcb7YiLnm>0WIo5{I?n?Gr@4_GoGjqo}J;&&pc){Nc ztpW%p;|b)`_}1o1tKw_WUOIXNkRfd2Slv$m#1*}&?tv-7v1CPk+C>5^%W`uu=w zHdxx??VFpGu#QT5zG@?FGzW<|*Pa%;BX{OZ7LKzCwv^m6M#iiWt5($1ZNE3~MYFGU2`vH^;HaF*JXeg3bvk%>! zYPkl!5~iz+DjzaN=!Ij!tQ<#NAOGVf*32eC;g0+VmCrQ*z=;pOwq4ZDJmIl^uK@O> zN$nYnD57i`-D7}%Z4oq>!sZ41`<$&fjf7XWCjJ2!qk#G?R3JLz^=rIY{ftD=@I(@P zQ+znmd@SwSa&!}zc9PqYdG%F(fn=Y3hruysmgKqbFvJ}Ic)0E-pzAVRpp~sn|Jl=D zh)s7aQTooP$yhv?@p^bEG;=w1-D;0fm296S?vJHKYYe5sr2L0kk$kVi~{WJl7KqnWd9gp0xWr+{oGhlTmwxj-s0rTXHAWrF>So(rY70?C@Le+#dO)ShggQ_Y=l28m*);}fSV3^tkL`;0u)cinD#{%T|wI=|KmI zgIBqvvl$rvO|Rg=cxzV~0fdtS?)3cPS@S~s*8)j;m1oBhkfi#9&*5a#3{X0IU301k zmAH&>!TUjod7)E&T1ANV5js@7v1Kj((4j-~Lt{JT8X6ieu84wrUf;1bR>CNb5yq@7 zjLJy+YDr_VTR?;K1CcHBO~N=sQW^lK<}h4RnJS}TVX!fRIu=SLAZ$Sm2=?A zOF%oFbG`W6Jda|fFooP0|E{?=(2;PkEr9fz@q6J(-t({pJ!SIKXErY%8MRuJv|?G=2&nZ@C%>qWKeiRy-*`!BChU?0gW zsEUoXDJiT8_^*@X)ISejc2k^!Qq8?kg{M~B*bd9`aXF0rw^GM`$;HoQIy6TaM+8wK zucwYHae|(SZAJ$}j;1AuP-isJZ*sILj`sFlOCvSTJktS^D>D*pnpkT|UzU|FO#IVP zIG4JdAZ?`sCA!PMgPa_FWX(g25ISG?J=|Fr9eYLePvG1~AwI34D0p5lVD;L>_ST9~ zjDya~$7L{%uLCHawl+54-fr-o%gz2XnCXzIL3Z-T^Tg{=Z$XGxU-A3DzSBNvP_kp4 zD{+jL*&wHfQ@+ph$olR2XGaZvef@Hs(%KNx<~t^#v-_Bs!o3xp?v2%r@bL4Ors^Yh)MZj`xA>z!^Xsof$~WM^wah~0NAz_;dZK_lw9r&hdv@LXCO5-HNXEZ^rNVC%D~VtMszk5y`2hMp;qhZ58eDZ zvan2i$3wVRp#(pO7GArwY>Na*{ZDDg&U1ORfVPeyqTCDl-?oOi<#J>EItHq$!L-Sv zwl8l#E5ARK1)%?QOKBO*ZR^DMVd-{ClEVKMjEg_22*SvlT(}j2+q&3f?M#RZW(ysK zGqVHlK_Ua}MeXnn_dGYYtvySvqE+TEfHdBITHo?dcCC|MPT*k6UA6mcbluKc(LB`l z?S{SJnL@jp#GeA>tgapc>1p7P@q##p3Sjn5R-Cl8^~y&VP0di)y^#;%H239Q@CB&5 z54o*4Q^UN8Z_0LT{|N8ja!_of{I>rHGT75sV79h`+cl4N-`;eQJ9kbGT^>mF4cPup z2y|g$BGBpbI1ofgGKHs2s3g+ z_PU1q>z`vD?y;KVl1Facf@878X=%kd*lEwYrQ0Q>b#bptaVOqk!ljCKIP>ZbfvmX! z1;cYwsn#S(Dw^KtJGc(=>sU!x*A0TwIP@3r)41?%jyO+@oSWMx7%zOQKYXF0r)qV; z#iQeDd!kct@$cEhPGN=f0p!fAe}7uk+QpH7|KiAvFD3i;ho}_^`TL_dMT=1U{o$a; z`OkX;?;`)cI@O*8^Y6`@|CiMS*`2UAx$-t?os8G$+P*hef-IrkU zUcVTar}Qvg78X8p={XTxPT7x> zl~vpRe$AwkKLOdtkKt#(GY0AFRydx2uaY#LxnI6mGjhiFU|pfPrR91`m&xAdf}y94 z+w;qQ7wL8DD7Gj`Fc|}umlZ3v{TDD;II60u7{0q7%iRNVy_QP`*4A5@+Qq{d(`w8b z$B2s4-*^)F`ueuDwbd8iZAB0~JUpFpdlpQdPrXIQ=0Z=Q-OP7d0OC0Vhmnzykc=!iJw1I?1`C;Y7Mb7jtO&kN+CMl* zhzPl@(C5`1d6F=S(Y}5A7Qw8o*}HprwF`@}vMyq(`iK+H*N_DU1vPeds{H8MR91*& zYza7VT2)gs(C=``SjcOe)5!18<>yclf%mD8z>P&SWT>MTylt^fKk%oo_@uQO4 zvUMhiZ11Cf5$@WfJ*zNUK5PjIiI;*lbP|V~JzD8SKPT##3JVL@c6M6B&RmI#jlDZ? zw|1?Ocz&de2SUMqwPxpCUfx&Fv62bdm9Z)s^>k%9RaNrG{{9X#;n!Hj#m9cQcS;_M z;h&_#wX?Ge2o9cEsamz&C`_|++5S1?-`p&_ySHby*qd4IzRp^^zarY)+RDbvj1W_E zO5M2eWXqR26mMxDzZG_Ja(OwtD@9>u;`penqcD;|Gzfh+gw@Z%LLtXl#n4ujTeq4H zes56F(uNci@Nybe(`x4#6fSuzaW9PStWHEeIeih9i)`j&xXjI)Pdk<+_U740=&lk% z1n3l)U=a}$>(eh~=huFCvjkhYHXEy=M|^p5@tR_%_zwLG9%IrPqsa5OUPwW_&wh$^ zKl(lQRxNXF)TtAzU|Efh{~jS?a31x-ToZiZ3rg}Q-<;(3q_F`gAq0e@>zZ0CF&m$jB7nrMG<|<@fG!(YKQbi^cMDhs! zJ&24c;^bMudb7e}QASo)1t-m#wT^2OQYl@7)dV>8Nyi5dV6AcHckM3Omt_BX8_d|a z*q2Q~NB7kDa8Vo4a}}~4Eq5Anb%Bt#1-Mn+C9aLW^(sxMocjh&tF`t|GX zn_UW~f(bSeECKaFC(rUa&#R*GvpL^2w(^x)+T{1I@3a!$LbV6KZYjMHJA*?&+6;NB zz-~gqpxhoyMdJ54WKzX%@ARqDr}gRYetyQ`J{zr&BWX8QNyW#gIvxF=G zZJ$0-AkC1r0?4IjzkfdwF3-m3^^-3;I-14x=O7C{39X4!5<~`(ii!%KRX?Z0Y#W8c zuh|=X=3i*}9(;XG+Db`I&g{F9FcAX58d~GE^E4!caD9K`xVFP#b+khLC;Yj0|Naw* z(5EA|RkukPL^Q5my{eN>MnXba<+e)g;o&hoSa^4OYrxpfiG+ZZo*Zf3U7u-rD-+!O zDfVJZ#+{VrXB_IyUtV2lnQ97dfqQL+LecX1`Q_Z5k>ZE3a5N}KN^MTRdi830Aw7xO zvP6$w($|2HMb^cogz)6a65+D>c?&EldLer$LYC(5?QwF7iXl2h=HZIBZk@iU@`e)f z1o=#BB#n8IF1(Bp1V&4(#V>dzjt5CEt9pkFR(b8b6y>j=Ogbi};ULI3y_@2`w~*cfX;n^H zIbyKZr|R2+^Yob8gpHG!tZd?x?bhQ@_fA1zPDAP_HZm{N`Lls=^a98kj&D;*hoq*S zqku3v+HIA5y1D5b{o=)ifbzYg&4Ie3KF_L-glnOYr$S%9rgvDIyw2yjX;J9BptiKN z{krLmxEIueVE132F1Eb7^59Rz7$5Ix-%(d*3m~8VD!NK}`l2!=WXr_1uV1P2>y9ed ze*HRiQTesShKJ(Ko2MQSJw=3IyUB|s9T=YGrP;=>>Q%)2)Ps%994hfRmwq{Ff$-&s;JJs7h%a-ls5jofroeIY^ zG%|18xY0jy@VnEG8r}5HH{#Q92F)N|(VF{nyk^8R;m7J&w|fH9j2;IE2W)bwjehn( zzD}VuE*{>A&=%IOuZ7u=5LlL_t+~!58l)K(I*?r2dgy~3JbEZViI9!C&QPAZ1GUZN zk%9O4xXh3uTSQl@+0f0ZaGI07e*Mwf#>VOV+Py3^eo9J81oLfTKb?~}K5)X4f=HI9 zq@)aiu<7dUJ-6vuqf=t}9I(S{MHLkqxYeTCygW@cHP*eIRh~B``#QKi}yQfgMpA>e=Wjzy~$`;ya^kVq#(e zb#-+eezmo=%hb+R19>ICr8on~d1`mfLLZZ207Dgw|CouCq&6}#>Ss>LS@5IS_A!_dcCs2_UztJ9N#S>ldr`KtmXEj7`KHJ-tgv z2%ADg@m{$?1U&_td{}|eMEqBLsgBOWU?yL3MAp~07Qz8QTj*Ka@`fL@J7aE1x3TzK z7B$unHabT}e}wYXl0*6GALvNF?vGXvy|4$p8F$b~vvCR=sAW8l#+^TzgvEw%xt5w* zjQj3Xunl+7+`($)5_h5ZZ^wjv21sHEd0=2*u0(&*(dI=y?_K+ZiC0@o10x4ti+@Cj zu8_lZjjQh3cAQobV=?cD@0(f<3Hdn{vDKIoDRBt}eoLJbe#bSc*?rT~Eul8!=_PfU zDGHIc4pmk-$yUolMG6*I>6UhX3I}tjzYh^zDNpH}0bGsNsOY%32Ts4=$%Qt{kcs#H z5CUA$47nmlQlFE$D_w=D(0)pK>3(>4cw>8e`yONE{dQ`Ie!2Vi)3yY=y(ZxBz^-gA z4X9KD((7O9FfW3dS}stXnU_Zm@NoLuTN%L_4=9|?)gBu;lE!C|F_!_u>Ab2H%MEV; zj_O!asi~>Oo`>&mCs>bL0diz}=_|44Q0dT%}j}&SMJb;=ZEyKl`q7%^sO!^ zzh>{xH=bB|sqeImM(ZRc?_wWZHV87u;K5F(-%-)n{=IwmbkZjj;l+c~uH)n5w0vd( zTXRtBt_ldet*)l0;Wm(xlEQ4&)g652=^ufs4sq&;K^DF$D99=*TGh9H@46ooYW|yK9z2p7uWnzR@+_Sjj zzMPyKg8BUUra`Uu(69t|#nIjpBujh*4yxVOX#5pg5+UdLs1BzqCiTdYN2z&ZzzLL= z0HzlayXYk#xdS(h6uhzW^z;mMD05|mbN8;pW7K0VF(Wgx@YPqS3_`)-za#w)*Z`_M zf{Z%dLSrl|FE1Y#**E_CED65%!FsFU+=aucvMsx3Z{9@Qh`lg$@YP`d^{Wo^>fPzk zkkC*WMMXlu^#xV~+)GR4;&wG#)Ih+3zkO51#lDqBwKrMEy}+X6|ja%6=%ep%6+be#b|UOq+Ad#-D!tD4(!XwEYzefpQd~ zTV!71dGPERB_Rv>>C<Pg!TKY6Dk}d4DSO&EuN4E$c03#t0k+hT)5)&IMn!{14-b7wO zr~T`lQ3sHWrl6BW6*(z*+X3XRHfKDRr9HZRIH`$2-LQwGyW|1{Y@4(qFp!vrm7o6< z{?&T1=^YLr#x=$DZ~PJ2{W=auW{F(L-BU{WGP>?ugc%A5NrF3>5Ff-EIw{Hv1F(2wLIg2EWl)0{SR}6bG zc1rAX+Ey)>QV-l97R9mH`MsJ02$S^I3(f{8$|y@P8LM)N?B*2;ME!XX%+spGl>^wYV zP#s(C{Py+5jt@2nPn@`Z^Cl5BkCAoJ_)V|5Zxo>|*q|odZH*YJK1MM4`F2%1HQU>l zo@e#7$JYfzl$))(PIed8?k!#>p%*F`TX&WRc#lj%t;k(D7Y9cmIhh&amH@GzOLQ~q zh!@yh^*bg8AO$JItYeDQqWBoDc$~A^j`Y zg$wveen%Czr+k*3w&B7iQ;mV;OLs7E1NHp2WvQxo-K;Ry%i>CPg7Jp zE?No%rfmX=B_upt?)L4Iz94Go=NHY{Wr@Ra>lz#k0c_dS)P#drQ@4~101YYhJN7-; zE~~TI5@Es3GpI1jz5n_=Tz<9gSOSoEj-eDvvf&KMN6?=DV&;3eH?=m^)bA-z_z0r+ zopGIS|6Pz+*m!t4-~U+11J%f6wk>+F_~B`YIg*mSxF>XRJjNeOZAMVtLvKQ1e`_fi z@+=AoQTYcllRZ>Itn$4yT_DVW;6}!FQ?iG%PmC!){ONOm|`B|dZ*z&zM$Ru`|;o}NDw=D0Oo0|>f z8M^N;mthSaFW>P}x^Nn#iHIu?zD`OW|0e6tGYp+L+AhoWm0|Nay$Mxo5~#~As4iiZlewa5%j{3AsFvY)cTYITe_pE*|#{uDDFww z)z!63-IpRC-UxwNVAewPbEJ$+SXg)$Q0H3J#33n^39nGQwc(9m$pb7Xmrb{LY61X? zPA9sJKkTyk_2o+EB$^>m@S6JmJtRpSkQSTc1+0GhzAg<23~T@qV#0glB&aulEgn@? ziijPoH3@;X=;-8xa^8fsTme)`1neE1kU*T$WwDc|t0K0J8^I|4lz_>byfu=k6`*#3 z*N&~&T0M@<_#7;etgS6KqtE6YbiL=kCZfsE+V(URRUpur8Q4H6d3k)TJcA*#*2w;k z^ziRc$WXEELFb#6y{)BnSm7ZTZduu{vp+pe7rN7cur~FmNQNia)t=GI?e|O+_fua+ zaUmdy>b=EmVDk+Zle`~m8~c>>w0gku16w8)+v-(E-w9Dx;IU!e+uzT6=@Jo|s6lBc zaGFzoE$PSj>C>mdatAio<>9`CR?AKxmXoWikq}U4(^Zl_0vU&gB13hIlAsf)DhYfL z15l9_>I<5piHL}DTG0{>@(&teDBVTXN9ET-kIKe9iSiOi;N6Q0)d4(|D@a9(VXab$z-#QZ@sRT%vp&BepZ@G+1DY1JX*^ zmoG}Nk<);48)2_|pQnHQ2pK3D-&@wR&L(B*$6@f@7<3iqmJ!dFNK{hzyf_+wCS@H03ICy)QCk; zkQ&vi0BVv!aaghe;cDD#Ra_}igbLKrT_6sHC}MJ*j`)R!airvt5NLn?gM&KWa8%IW z=h}S1!onJ?@w)c)jd*B40B(*^4PAcqucsY+014KBHc97dq1c61z><>Dch?jW(a39c zC*XT+U%trN*w|FfjMVywntyru2#s0vL_w|cLUkiZMn>show`$RxWoUh!O3Ff<|eIj zUH)J@z+JKa@$5P*>`eV5oR_?&*cX&uV&aT_E7Y&6>x+qtukX|yGr-<*!(9|ubg{a- zyC>)5kid44$%oNC(zmU^1NrA8KX@r!Oeg183m18NLcoUtfP{e$n~ZQNX!hhIhp_# z^I7(?e|aN*7V4WvRY@N}IT7#t#H$ZaL1H2D^YcUZMkbiF1*%>cLM*o4eAgO z3JIBQ7Qlp5PNMJ)#646XhFWp=aBoYe)cQ=QFa*vAvl=N`*%jHsRf+aE9t9m8S`fJO z4a%U7fX1!dA#mOjBHO9_`wM+u5bDLCx8T0kKw#rK0qwi*rZ(3TThI%QJ~2zjFo-x4 z!bw5lQgnR0WsMl5m&;l?Xu2iA_jkE02iJSIT~G?|eD_AFkU^^F{cRb0d;8FKCJ;ZZ z2MZcls(7H~cW1R>_%S?#Cw~jRRPJv;YrsyP?C!c(1WN-lBC7xAw@;0V2%T+gxQx8l zJ%#y;F9F0~%QMu2`vflOEwtN?Ft{oK*v5?bOaqOOnR@PyE(Wn~d*YHH38 zW(n$1)sBAa1Bz~a&lTNC>&#xJen3`EYfC|mtKs2ByK!Bj_5%{qOwCH-g z7J2p>DP;XTI(`tfT%^A4m@D*BBTK~ZRsaVP0QPwdO_Ci$iH}f2*6NP;>)d}9wo;xE z+|=;<-EPbaOc6k#!pd8rQINbqGsGq(PHRr0C#a+ zq6I34VBWoB#h02r1h>tgyfn-68up{8-T! z6bg1Ou4Pw*k`9{Wf-Kz8mlavauaPnfvzOw`$Erv?+}VR{F+dUk*Q9&|*E~qAe_w?a zm6XKf?c)Q_wHRU=?ay8z^JAEl8DHugL5u4@z2oQ)l+@JN^S%f!0{shi4vvLwhql6J zbYY5fX|qwGqfCGM%8L|$Dj?-04=h#raKi0dN)sw$vFZM8B)?;9u(-;4^=dB*(;FFS zX|(qS6qg_@EW^hDH+~fBKcDh6G?byV#|X$ZQa~JHAWeiB#FBM1Lm;l;$2K1X1SonW z7)qs24EzImSj|YtZ2jMs_vo803*5DK>Xk7ndU_HJR#ep;N8au}%&kwICn~7_Uc%8! z4Vld#W#-}Gfj%O-&VUErlD93N36~ED z2$0Hk9Sy6##__KgK;b34{@IHcB0t@G#cNoYO$o?9J^7zcoG(}~j+vY^0n(iUJ;1lE zX?g0Fyp0?tv!s7p^wIiP5;|ZDUEGm#w=Z7i;c=UHc#_xhe_nB!iz|@4@gbI~uI?+D z$XmU1u1NIgf8KwYn;U|wY(@7YNV>a3CxGyFXf*npE-e@vrF+T~2BZ zEiIAnyRt|+CfW<6(|`6i8weaiPEY^y*^JX=_no)19BOI^RJebiqV(piTUbKA1iUA3 zn0MaIex?22H5j=BD-;||P^_1$9+BT?`Bp3Y3=*x*x5nc3pAgY{_>cp7u8G@NdbwIM z={<1o>C<#l|9!NP7;NST(^_k@)+CrV2Hw9uh_Z75_BW8!fhDLTQ@yRs`|QHB3yZAZ zZu%;>mHcN9fIC4Gz|j*)?O9M&SNDJa{zAG0>6VdNNE0b@%;|q4@YdIHY@>GrOIR2~ zDSov*>V*MYoX-D^5Z-L>mR=83YPA ziPz3bNrg3Zx)pEVZUF>K4p=qL$n(bgE;P-lH19obD={d+tCmggxlZ^9)WJA0#w~6% zc|2mpNrp^Zvisfyx(I8Vo4ANl{M8dQJVwv%T0mI!$`sZzJ925;VDWSW&v&`UM~eBT^0yh1o&!a3yidC1Tdr%N!gILwl0-JXqwSn6@){%Lr?XO#ULW z2Q07Z=>+MP4Er$ll9M+^CyAG_$MVLjW)5sli-=aveW0G zq1Ll-Zxw-))70QkfQ4L$J>fRy5|=aM@O=COJ~<9^Of0J?28eqYbRyY+>Hu$R^;)e7 zetuc|9n@~1m>;2Wi<08c;!5zzi`R9G$txnV(IDOO9KuP4HUjgxbGTQ`ztsQUn7hBK z$l5wh$@}MHC4SGwQpW+s^WhIei_f#iTX@k+<(?2n%IPv%TGRpLADk^9v`}(XWZogI zq(lP!e@sper_xK_hVOS-TFnT^D{$og)}uR}(4(2|{u8LA@FW5P0^B|ZHb@V@@4Hj1WiUcaa$n6)$@d!sdu)Z$Curah8GRo z2;lRtg&a_F$4eLPNEZChM?A`A`uu&E$cPA&n#VL5$MLY{;bnI;HMk-iTVkJT{z=|t zYynaLhDq>o;0WP>k>KcX|8Cbix!uL={8>gu3gKu2{rX$ZB8i+>s-~ta!0Nocy>sF` zJUv;NnUl5gq;A48{mn$9@`i>C&^pBPZ@^4Xo1r=p3k%khCr<Kk=KR+les%mPF2L}hWTAhCXx*r$j|2h~_+28!83&mHz$_F4= za+d`!H1^M3xKO&sB}B1B>Ij+PVJ(%ng+<0K#v-%=>G_C(fd#sege8}vw z9XQO|(b&oTU-k0`aLOxBzl_0QPID`_Kgs+Tm9%jLke7S^{!lWKo|$<9`p+*V{Uqcg z8BYTJt_W6?wS8ZsOsjo@gaq}NEqv97wmP8gT-WP2->QIhp#7svL@SyK|EYArmKGNE zfLl#@Y3;v%rh*11%IIP5;OLrk-IBG5fn_hkQH0tFs`-Zx-S;DP)zrGp=fAJ6k|EGu zaTs!MTc<_-4QNtm%VTC|?}3Z~O-l-&{q2_9*Tw?M%Y|I`$)gP+CxMX9v9EEl#%T2e zDKiUhm^>TY{Mh0aAZmmb;lP8#@%m4Jy%Q%OC^!uowBn5$4d8EpH$Gh6ei9aT@6j#U zL^Xis0K$fjT_GqSaaPP0T3T6kef##!oFGasHwYx}{1cejqcS&YfDC_+TcRsGDt9znoh;s@1Tg(sr22oMu9~h)i6*&Xq7LbYb2!8{A2C2U&s#jWFJ+@?I z4tk|)Yik9r`(Sdz1YV{PeqD_7@->|Dcmk=fT3TB8iOK^j8b#y1SgE}`G=Sy*f~Xvn z#f(X8ZEel>q?4iD9}pUJ-QKaVI^sXP^i0$RsW7`(0BI3A`z2myp@6{|ZLk&u1-fbB zE^F(OGSXZSLLZ2x$U8g(y}bd@j)DiAotr~NYUmXyDk(LC2BYhKD*Be9emwy`{%3JY z=-~ott<1s60QGr!{Nuy~Q+*#p)9BQ1hoJEfgjWX;R^dOnY%vWu1RB3!;DIyG28HQw z1shzJk>%EgKmjOT_S+<rop9 zBmaS5HJC1oV%L4e3Bd{brjxW+%)_=4?z6I1z%wc+D71@HUe47D1#MV{aH`neK<{ow z3Mn&ybwtY0Fj4*El=8DZIb51Y7yj7?#kU}5gJaZ$mo^HtTHq|;|ACxl))vLWDe*}7_^z;e#OR1@@hEC-fWXt3~ zWb6)^mY$yF@^)rs<|F0wCh%19y8hHzp_Gvomj?_F&YaP#TZJCTEa&&{-(6kAGc_*3 zq1}9nC}uV&x^SZjadN8rnt!IqL)(cYfKnZgQ{z1>+ zVG9QrCge!$^1Y9atqg9=*RIi^LOe*X{ZlVO0a`lpCv-rU;cQnX_i6d9?KKZtLXS&k1lszoatwIl;# zwBh#p{XGt~yMZT*8r^14A31yGA=3|Q8yQ7Fqm>%GG?ygye_o-ap<(0TIDu;5C{BdL z6(q?G%0rtltkjq-fH|#fmti_7wSs$g$n4Tm_B<(b8raNNr2fiIwzhd4_d#f>L%mH% zJ-B52Vc}+;Ya2NnPQn%SObc~TsSXYrdN&9p7?92$OtM|+rq@^Fb(9k)md*G!X zy$4t6z>|std9Wh5TY4jRl7Ruy)X*3lJH#Va>=qRIJm~-dOIWPJn z6$D;Z#F#C-JNi&i!S_A$f+-|{Kq>W^=vQ zM?QrDy7{qQw7K1uCCKDjVm&kwLGeRf3p+kgSU}JtWgrt~Lep6CAY!pT-GcU?(3=EV z%VnwGba}W0ReINLyy)SXkeU%MzL{Z-4soC4d|o^{GIcih_Zm!#0UA3^cQu8^lsoRtT;^BEFWc z?!vdbHyPv-PhcPhu@F$;NEt$_RDlC@3?OF7GLBG6;M~sM1i7l;HVKWY-@i?N&3=ON z;oP2R10wDtzz~z;SW!m#3gBIniR8eON?gG2v$%?2f`agaBLWRlepB*-h(q%S5*wZi zkOH0q7#&Ufg*v?MYbIaf1&E<>xVAYv!bx$*3)T_bV){IfLHz)C>(sZeCpnN9>Q|+~ z-J+OhFyK*vqxBx{Dp5mS{qFKM$K}iZ;D3gGatNdn5Vlav^Nz6zq&gv?!QAxL#Vt?B zoxQ!i%*@R7EUlb8JPP3dNv~y(62U+o;}D=Xg+u;FJd0)sAcyuwAS5VHPZ8L5FtP`n zxnhnshJS9eur6XhBzAY}_rC0|fG?FeMuJhV_Y?#LiBu;Sm~ROx@`GOy18;}y4w@vN zX(KL_v&zF@YF1V^I3}q03O2Pi@n^0AWEkjfGB|#LRR#2ttiH3pxfuY0jx|A4H_aoh z>^>x~b_KK_gFnd8P=@ePb+wpPS>%xQM*tS6HVfVnK%f-DQXU?{oYbKs!3%)26`*mE zk&#gkK2%X3V*t>u$d>9)v^WyI2nm^g04*jVk6-6t2cS%X$=-j8&*9}&Q!)Il)r)9x zq)fZ`6TwHo`2}#kKQN&x`@@G*(jnYj-nm^C-+Fszqa32FZoG{gGJAA0P5!q3iKFoY zA?3UlZF&ldEf7pmpA^17*29Mnc@sM3C+Z|QaayNRtfgEUao#^Wy_>Xt-re&$iI{k= zBiT@H@70&8I=YdydQ8+GWP3Tp&m(G?8sJHVWZ>Mkp30ng8F1-5qGst9_I>V*?bgZL z7LN%|^&b-)U-89^l>~ODx0SrlDUH7V%76XUIo5YZU|Rb+ynGkZ6^su+-wjrO`dHE+ ztTSfg&VvsKFAgGc>nj10qfdExCSxr4lXb)1*u&jT9SO0%OD{R!sRwdWM0Z)Bi3qsi zEaS~!po>i+VC4FYICG(P2Lqgp;Jy7LCsiEP>r#jXuda@MapS#GlSAzX$@puXY%~Si z>0j~g_e!AQ-fKn30`j!o{~>_TCIm|I_I*QuN@QAc!@a@^JHuGKk=TtwbK9$RPp}Jo z-RR&Z75qP8FH~8e>v9HC5(w9hWKG;6iKO6Zf;pR1<{NtY8CT%k-Z3^_g*{nBSTEk!7sZ*xa)!d?6*)G%D9&Wqi( z3pOh|TL!GfE~49cSs57^t!&UQ71CF;yDaDhslpA?3qCM1E*e*A$M1*~mhJ}L_UXzA zGx3=c^4^A?Q#3F?=Y>-cj%w=aP(=VxKSEtnf`X+T*tPln1Q%{C+02`>eA8Y!Qm1+y zj^2Rw{rl(X&Yq<}L96P|Q`E#-z(%xp3>W=J@Fxei1|$!tR_n?}N8@iGN^$b?uzELd1&8Lx(UnD> zt+#tq9~Bl-nV*qChK!#2FO8pjX1C)>*a;U;dr z7k5rbsJxv)O3lZCS(vIw>``l-Sn#X38c{=I#Z?F3l_VHXT9+cZRL=fx+pc7aG)Di%2?WR@WDhF*0#hnMB z?E_xC3p~V;EKME6_Nr>CY7OJfGJ~6W-v6LWb|Nt55df3F-lF~%W2X<<~Qczh(A_c7}Ql!{SLHD8c*U>xux0A0`_Fkl4u zk|;_8V?x}z?9Z&EC@6%DRYtIsy1g&&e#MpQSPGTW6u;EMvnBgri5R+5$Y&DFGo>sZ zW~78j$S$X$=veu_&vkB8j)adN)?Rz($FTGAeJ2@nRANXr|}VQgC&Qqr`S^vawnQ z>FbMXtE->x?(RmJY*G?D2N^i;m_aT9Z^W~b`G58TO}pLQYA}b@F8)keJyQde-bH5u za{H3nayx0-(l=OIJW8^S^U;P`JkLf!vJk+;571~298pNo3}7G=_-3)NTH?Wj<$xxM z>M3F#ry!SsRk8v6R*=QWz~E33On^amrlJv~Nd$q;eXPeh!_)NiVc?SB9@Ac=e|qLr z*LR+{XY>e%=Ek0M7Juq7>`LB8R2h8Tc#mJV%7@#a94XPWS>8T#)go%7#QmR*SX#h> z0Za0)iJ}B7vgs48z!O1uM%$$ayEn)2lrrIVyH|{{(M|9!p`eJCfnK9knF?sB=!{^~ z$!jKGUh=`zQ=FIka;57@_SlxkXB7fxB8yV)F`l7_<_Ci>GmslBEb*dtK^O}IVeHQeBMM_~uu0Pe+ z2Hp-%N?ux$w)S>^yOhs_yVn-QsQ%@KmDHhwE9INRUnJY9Mh$-5M1>c(h|2sg zvN~eGgv>Z{h;#74#Rpd&R`gG334d3ab46eLq{2SJ5Ziad0sK?Dyk5>LFYXk4Cr5<(AZ4S1U< zp!e|1i`}qa451UWemS;tTDsois>r={D>y>XG~lRdx_`KG_3BH`HBGDw#NSLlfFUC8 z&jfU$nP38p07anU&g`rdh&y2GM8zGj=nvej^cn6>T%NR|QyLYI2+24JhZ(H?z-u8) z0Leo;+jY?wYz?3r7UL_9z3oL5KcxMv1-{`p9~ly z(6j}jAk4X`>gyAODuY@gK|Bzz9GTNI93mY@!O+T8Z%LW6cUE#HD8 z3U!zH9teRuH@Rm4HH(EYh*AUbb0q7`6scnHc6%QNaQ6aWG1OiXd5oC=+J@@*rKSBV zV_c!3p}?1CqQ-ci(;*xlCz&%#GlYFl)$^#=504Oyzpwpv;3&LAycl7$^K_`%lk=V%WCcq{x~R!$DiX7A#7kEQpr>zX->{eC%C zuI<3^bB?>IVnEb~2Ovqmd-sm91}RScE&Xj9Uj)JnCKO0d)Lo@J36E3hL+_aTCv-RM zFhTeky_a?m=#Pp^s3K0D-v8GNAhty87-U3+7=rcA?|6R#om>E=cGP!&d3Uo%rO-97>Q|O`5UbCf#v9RWr1kExUMfSb=yGbIh>(g=&lb6gaQ*Wk8*ZCgWS0p2Iq1mE2JoFVf zw8;lZMtVL)ALGL4&%<}Ov)G=hcfZwg5wi))V5?b-1?$9_qr+7{wu=`DK-(-Eb3H3@ zw0jpOG5t5QEh-SAV>8NFS7;I7nnBL_uRh5a_Q33F$vOd z|K8CsKvS5JqAENhgId&NFema>3{9sgcedYVXZ}~+fBq*fu=aTtgfs31S+qA-{F>`q9Vp9f3?4GNV8AG>wQ@CuYy`;%Oqf9K0Y<9 z{l{2&{WJ=BFZqUK>Web*`x?u}_NGw?yRqRkSm~*T^uDs0_lkM<*%Q(grLM7aDURaw zTdjuHcA03f&S>R(;+>=yA_u3vJQQ?D4yb{g+C-M9PrvL(sSYO$9R>k$|I^K-6>(<& z@ij3NG(vDlI>X#m7OUkGP@?w1WQy<#-=6) z>VAL`Sml-5FE@|9L}G^?AFqxSsp1T--M-*>RHhTXCHFuS6GDI6BguD|&tY2j;K#MP z>o5ci?o2)qhnKE7$fk0xd~kW6Epi|2sEkQaQBk22`T4$Emq8h0W@m3RjqDkz$_mkg zPJ4zAG=ZT&j;%ef`y%am_WTD<>B_U(x!?Qhn9MYGT|c_|Ab7%VOANVVN95z zYQ8QPlGX2NXtgEh;J^o}3M^CA;h>t0!`0uM7d)_?j<&gM86|UC-98<3Yu+#X?VQ!T z_byw#K7?NGOx+Er9#LLawhvrCYiMiFfF}{OYxsf#VK7Fbj|B`Lgr4#QHoJr>XHDQ) zohW00KC+zBF}C$m=&7k-Q^xbE*Xvu`Q~LJM={f`hILB79R6{>NKQD-oy66UlA-|f> zTmG_Y<%e5nvkrA6MVq;pTiGfo_c_X^hmm8$KxdijK6K7V&hX=28@0!QF@3}Co1AXi zR8R=Sz~hc!AoAP9PPIlahBO78a?gC))tOCN)EaILN9t3De`G$>Ro_Qro?m{H1nT+- zAio0esEFocq8Evm?vaYBWt`OBNipVTKp;@k2x=e}-tCn-E$UkT{>k#N?ay=a zY%9~O`!i+Owi z+jka>o3$^OuHkql`-BbThJj)Ud|S1r0b&njDli{{8o zy{j7U-5nlh?WaL}gf86;=6Ll$TT@XyE-i)N`LgS!R{P-(b-ZEYbw#2lFnhJs6LR=H1QBjZ`HwN>d=QjzP!?k zGm8f!$`TBmzzshk+wwV-d*YxQ(@U{xc;s^Ju%)C%j&qm>X|cI-e#TXJtMyj;l9z&U zk8$qnT(2LR>4!-RS}&2unm_mRi4fbSFSo;E6QA*s$bd)mMdw@(jDu5!wp@MKeQwO} z_z*;w0_Wj5En5NfCeAU4duj{~4WX;lm-f>9W7wJDq6d-6NfL>Ja~b({>;l{iSyNpe zY&`3GRSP_Oo*{-z+|NI|+*+#MPKYVoXi2N(V6?>{%O2b?rbf;+z_snJaX4))_B9uy zG4?z*HU&sipM- zeB$o`Og8d=hPoONQdzoO?~}rcu>f`Cx<(+5R;6-I=?zG#z^QE<#M+;gK0;^ zb29_JPap@H7&p3|6@rz^oqEqOWO|obsqTl?lCzw8GP<=x_jJ$pxvc`OQ~@0pIVQ}! z|NX}x)3()}c8F(i)1yzu!O;Z+E*iSJpNh$l`qFn@8Kev%sSw`K%xPbARJsPURpE33 zH&?4SBA^k`+tu~<#f#H=mG_<;IX1kzUiVOX;t1NZ&Z@N&s?jIhDn1AJk27>sapxjqnfKYc7 z6oOF*3|-I#^`yOLFlB0c9Oza*W#9JQk%Bdq1)EtX9I)StDle^)(!Mvi$srYXgNNYz zmZyO4fqQm44k8uPJ2sYkZQNZ3Y@3?F5B(qMp1?^V2~Pycckd&0p`R6b@qqKpiAkR{h9KSv0)SP*Os z76kh8^760W-XiX6$*@l_!H}<+t@RKdN(s<&&@)g~7XxXGzQK2xpz*V}=Lx6e^OQY1 zV`O%2?rl&JJYhPa7$zmef3>k?<>l4RkWIlrM&77xS+&tB^YM*t8CzT1o4ygPGle$D zy$3$0rKarNrHmiUsgh*MA-IEzZtR{T;rOv0Cv7Q-0#EfwFfcH{EyG8>fK7#|h8%7( z1ap>N%v}|o83rRtE)1eg2i45KR!+ZgJ03>EFFb^v*f2Due7B2|79dCI)p(Y`n#Zi1 zt(3XLAljD)CJ(EI$9V6#{G@qAm67|67rucp?i-Ka?^_*j#77p@qTcRq5{$G5)U(lr zT5UvJuo+v98(C1jYHK0mvzjYE#{Hl>zabo!B?Y=b3~(17kp0fEw6EMMoB4 zl9*aCcpM!t-&;`e%YqwQ=t(*%hE22my$6WgXT>S02b~A4f$8bJm7UsjsV*@a@l)0J zC)V!xb!8EZDhSAv*7OL-lQmCo(p>m(7kPF96y2@o`Q9yy{80@-Kh6--;=ZDEw;u0G zT|Vg>_|73v!rR)*-#DiD;cdBiHGha5aS%z=E4P0OLmOGEhx5m=GrJ>M-`tl^szk9U)cMF5`|*9+ zm71Z)IusGRk-p>0T#+!(qcpqjKB$0SkD)*sO8L*P&6CQNxVWt*ZRm+dmzN6cZhd*` zc%yRJDrk}Fi-rh%M~JsX5;zEx?S)XKC)c1t4NghL@^f_rbC@P$M?r{N3|4zIC&2d& zq{ou_KqO{*NvYON~7!44R>>0$ZgYbQTUL*bau}(ieeo@eXnHE+PXaABhmfl zdBBBpCz!d5v3^W3oGE>##BLTBl*;x^G@fB`PB^aVZG@C+jO~8>hep%){lXf7O;eEk zf#}b=R-NvV0Aoe!2`ohMX5=_4b?CxH$=^>{qeEa^%CGh8DL355F+I7)f$57%)l$Ub z=_MDcZtTCC`R*2WYxCr)@k*D*0A62(zH?t&_i;e`y^NjeR||)MLqBOD${3|EeLvSv z(C)sxCrwdx^&DC~KJH7Jek74;!K;bA{HgjvEIO|S2XGjYapP10>~;x^8FnO!#yw<0 z>Q8pRE!#~x{>}9J(AVczY*H_@URQVb4My~fn?KGQh#3=$=T^4%yw{rv^DS9=xBX)- z^YDuZ0y#u zFaGM%{A3WRzO;Drv^HC;NBCG^lPS!yC_=e{1mRdU1}0$*8=G8E$X;z@A)~#jt6b=5 z01v4)RE~I<-!$~ekKCa)l#lSGc$2B7QpQM6)BQXT!~J@-7kYPnudeCZy>`x0U}8v6 zTH?tuX+6P={FpI>&9Y`Uqv_1ciaKXwwbuUKp52^QPg^_QU2JGzP!l{jkc=sb9)cnR zrsfJ@Fj>gi<@o(6%;D$3cgM6%*;~Nxhk5gLMs{3DD*o)^_c&uMu$;nhsRa8( zQC;oSqe`N~y2DXCCDC~P4|N4Gi8##MZCF1F2hvR@>EKM28!FrAsi!^AdN#3HTKuW{ zqcUr>qS3Z&b5wptYfWHt`ifBPDATg z4xQ&>E)F^9Ayv=|dLLt9;LL~{l>X!Axos%MYw~#QgeJ)lT0ta3VnZ$Kou(!yU`0j` z&h8oV7O8qUX2e~(Y}7Q3g9QH;_ihQO8?4C4vdIbDN>2-eOV0HnwelnN*0NuxfMum7 zvqNkV)H8QbMW}9Q*bq<}PT*+w&`DIsNhq){mgdSqqh~|T*>nO*iiFQtK` zd6k-Tx07eL*Q<)S5WU&Hyf^l^jQ(kkWyO3eqkWN^H}!5lUcwh~o)W#(T)btX+K^F= zp#mwt4;+;+&617&aiy}e>e^y)zu@3R5}I-GTPnkKE({x2<|$Mya)ujhHi(NK(AIwU zn91a_vv=$7*Wb7#*_7HPH9OEtCtEGkYGcAX<@+fv=?weGogXqnxQB9=IqVGG-ttvP3PcCWnsiW#XqOwr%&rT*}1d>*Ra zxct|=-EH&EkJb%ycRu>J)ufYU#`GylX*jtmC<0v0FkwWl>9xH zQlg#j-Mt~;JBilf`${e`fEunv-~7<>zK)-(OCj&)4WRVU;Ph{SEesO40jAwCW=8I0 zRn(53kJO|90(#ik%|z$0eDs<_qSE^M?5-tL^Io+vzQibtTc=Yj6IW_j;NGVYf9-sa z#?F{-)hQ78q5xSK^VNkuPJt~>VPxtBn&@w-@K983=AD)&0KARq4u;tD!pvU-*+##$ zIVz@Lpp9vU;||iRdW7?xzO?+-P9u((>}+E+m{!1S<(QMdvd507F<_2;?7@z=^@J`w zZrZo^^R>EE6CN)m`U}6Nr`_UGB3UbbJ$=G+PHc(y>WK6E9&KIkRS<$1AjQ}s4Jp=S zi;T&Yx4gtIK|{hkcKR61e*3!8D?$4r(bOKB=+VY-X8y`>ePt9nF@5(o$gHaA#j% z&6S0#QZSGT%b){KlsBP3QO8m)3@?FBEbab-2dNmSwI9zAE4(pohxsTYFMZtL%%971u6)7K=zL9B|;%p}5v>BGCdx-=*%n zKDvqIaKMU6r#}AyWD3lDFL3zNwKXi~olNtf3xiA0!(NNl^60LvlaS_cpA^DNc$r|5 zv+z;G;=@HLvfY0msDxy=msz_tGMwGqY+!f-+dZCRAeQW*uMt*gj8EXp z60C@*_Fo^piWe;L`c1v3Awyow$7hAy;l6^yBhqFL58TH;aXHnuQ$o@-D~wE=0zVqj zv?Vq%Z&Y-fN!~TB4-<#irj}R6xUIa??xffklLv$?l{4sj@x@~@L`c#vzlK+pdV6O- zO;>b5IU0xKMJ77-`i7yk0xHJC#`+vi*$*31A~diK4EKsg!2taBH8u5UnBQy+85+7H zyYg1+)farXid-;C4_=FmYCxuWwg>lcI6`d8{guxgfj1U=X^^T^CmHz>`;tE(l;^Ldgb6M(}ff*gLm0t3K>OI zQj#tv7<@~GkA??0kAZuFe($EF9e>vMHQN7CCv@%pqD4b);g09$Mf%7P5qNc7T@<_& zWE7e(%3917ibSe%gMZUYKxDJ>at4=>Lbt?`^Fs%NFnA7Am1?17)vI6#p7uNGyfsW9 zfMFBa`m;F;o+lim8ckuCF^P#HaeBAE_GGZf%`Xk2ejL-M_-^bWpX6}9+xY%=X6_@8 zG3)c_Os<7mJn?KZTv7@efz&G?1B_cI*S6c@lpR2GeD;Ksve30cZo8;{ZmXt*>|p-R zY`xL&@Jg3aTh-*ErBPRI1os;u+d6$Z8Qu?@Xtg>?6$sFWa!R_FE&pzZlxG@wz^705 zdoPiw7+kh_$UlH5A}%j*+c0m#P;#&Pz~!ZW?E_X|PT0mgf`Wn?((E3P%mq>N`usvQ zGy0tTpf^!eR9M(96xQx<&l}nB7W%%SAxx0*thH;(*uPxC-Y;xNtLTE_`u}m%R~xhJ z9sbnxm5-0k>h5=N&G)mWUr+@;S}?~7H3FmOzY~4E9D0;V{&?U6gUi$-kAZm;RVWw_ zVTyuPWtl{W)Yo^FuMTO!Ro3Do4<0%4sA@!sIr-cJ?c1g8PMufRKGNOCvoz+ISiS)mo%LS{B{%@t7$Ggs63W4I8T&x21hSRh77EDC~%De5BTNfAXka>=*H>uNHP1NqX%Ry719%geS{ipIys!$sG1YZG*T4 zWX?t@R=2Tc*1EJ~8^^puRtxgjU>pjrGzKUW3xQhd!|bD`%%|x)^M2+%s*++fhhSWg zHns~vqez#T%{Dtjd`PlC(LXhrh^Yf1W#_(b-mr1w^S1kD41g@US?=|5KjQ-jNa`3{ znlI7RCEvTLKzG2juiC;j|JdGv-%Y@W`hW)m`*w`q6I1{RTj==rMh>v-*5uKSj_fwW z)`&8A8{fEoDapZCDVUkl+njBfH~LzN*tvF~^p5cG@RH)<58$+_o0{T~2*$*0P#Nn8 z-8lYIyZ#LQN>0L9(V{I}p4T~9(u2)C^1YeDk??;lL(VtrxgQ5PySN~-NiuTde*HSv zjJ1!6kFN%Dk0<$e_p76uNMIu#9Oa^TM84IJmd~3&CRL7+2(o8~ZP5wR1ws=j^xB?K zfo& z&>1)p0lWbaM(xy-6{u!T)G|Af`52|y-ox&8E3om@U}E@7C~ndaZP$rh1wQ8dP3w8t zDn`bSMpAQFKV`=6NP5QQHb!kreqw@Pa*fl8LoRSrGEK`6Lv_`)#xaFM9bH|3Q5VRb z0oEpa<|D}ItU)C0`d}t&P>ngrV6^skdmd$ea#TF@{UYtOq9Br?G!tTc?5g|~-;$4|s7a=pt@zX^VX!t~wNm8dyi zLkyKeWSsnUrv1y8sNCEmM-tuMn5>^gi5>>kSP30PyK8o;$Ar88zMzB}@4+Q+wn_$+ z8qgL{KTh4b}Z6W9oI$2rPDdAJ!BS1Z!y}(SEE*hAi z%vW90oWtFa>b~+6Qq}Hzi`%c;w$3V${xUL7UOVP;0O|m5Sz+rUUq03_oARk41|>2z zAd-cCFi;AKFl={D)s3`Lu|JOTZ+y7SJPU})K62G5m%bTCCF)j^!KR|3(va>DjBL!M zuW8G1OUu}_G=n3FhL9RezkgHC%fGqzWq#wE!#?J_auWP z$Q(w@8a}r2*KJ%f+KmoSZ)D2BlKqWhuWYx>P7TS`N9NFV^_*->Q1_{mrl#vxHK@Yj(_U zzA5o9q>xDmnp>HgT7N#(^akD`J)Ka?XzqbqA&e`T5)6&Urd~EGDV`uy%u}gMv95H+ z78x8DaOXUxlr2H)F7QxbodKL)WFK&#gxlKeZ!N%s8vRbZxvn|v2Tgnmsxu$p#+4jD zvT)-{N=o3h^i56U!IR$*+1^4ZJ?UnQg8Aa8I9O+Kt9h_MG-sAfP_z7n6Z1v$&pljy zTkmJRz5MYWFLQn+u-b^li>_LsEbNX+&vKUU1@Y#LO;=LX`VTcV5g5~T60?*9Fl5(` zq2q8ttKBKnb_=>xl{SbVGK1($==>pFG%?W3#C@zvoT#I`{_##RIm*YSKKP=dL#MG%w$K zf*MwPX(me1wT96s9UBs|1Cxz(6$K6U@4qd4=F7r^hK8H*R`R`I^U$Y`hD{JRK6JVTlN7UJ_4WrhzIS5T-WuZ-Upz8EBm945wqQ)uXN zVx^QX9jiMf0?G-u-=`0v$>zUV#Ao zIfuofUD>q~IlOP#w>z!$h7788KM=d zZbxOxrs$^79kF*0w^V-CU=3QNlYow$eCp`aKul^|35&t%p$H)saUNJntq#;J6g^8Y zg3$oAvJ~=x2z>nO=%UB2gB~O}os>}A+|mg=BhHKPd&j@a&wn0()%|qsYEdr4!^3RVkNR-Y#-PyApuaK zGYG(pl(}Qx7p!e;4uDa^Sdi*)%K9qa5S#yPS~<88ZB!hLFR12s>6!U@FO`ZRcQ@R# zA9sfwGX=AdNH!0VEwQVl6}VJqwlv|Srf-fx(jJL~V~$C4Wq~U>Sq%*hgzK3YVoasx z4%~1!WXi)qZV^!O3t|$6b#4*lc^9~8CteT8e@obdnE)wI*N=$ z^|%Q&XvrM59P?t1&c;(8Hl4>&jOBv)0W^I;VZ{Zw!G6;rWQcX zNqhUdVPNFZPzauj3gg06iQkvz(!MWSOicE8Ep`%7Do6ccG@t;?~8S!%e`v*WZU+Z@`vUfSBu(|Fk*5hH9XGmiBmli z03S}m?Gg@X<8J0A$N2d84U&>4rbIqU!te?HpU3h!LchQQ0UL^@&slUDjyBLj?&yo8 z9Xo(PY^v$P?^_eFv*E~$P3QU4fGBymZ!K!9VaIJLViyvJpS|jm`E%3%Jzo$%70yPn zLat1H9!4zVjCQvwkDnXSUHn(VeO z_R$tRP;C`Fu%CY;yK4DYA?=2ikA~|63_A*n(iBEls{_9@f4AW-D2Id{J{0~51JNn~ z8xo<1CszGNbz)>myiss(0Hz>n+OYM!!X>F61D#t7T)dt%WM!xC$TrXsOR(eiP)UCB zytUno_+dmD;xA^PJu(dviXj&}*bakQ@%2Q`W#xudUdm6N?%p^>=kOL9fmsXFA9K|% zoKw>4ESB)z6qTE(RSWbFf09>^vWhg{$WM zX{E1R+g6_S-DKjke{gJcwE71teNw!@TRM37a5N}5&R7nloYn8#y;s&A%=Elb@u!LV z9J8dP*$Y?~M5&99Ob@P5Z>afbcym>RUeFzdDPO@NHYH#GaD)y}WA^p)D9YE#&f$}j zBA>!%f$p9Uze+T`#o2l;s}O6UE%@T3G&sBE_I+NPn%f21*LDNXx?gH+BPwRD4)83z8EyAVg7PV*U(sFWGY}LzAv)U70fw}9Wi*_B@|40Tk{xjpIsdt z7+rAptASx`Lc%_rCovtreZC?&-5@R)QCMi<8+MggP_aK-U2Mi{`4nz0|yU!ShN#J7Z~4AIC|<9s$Gu&+7|@}50A?dPx1)TKum zKdls2Wfx@q9CZ#}0UU<IU4yH>)p zPABF-={-F?-AA&|?7f5cyZBn+;;}!U!l>0NBIFLPPY|T2uxu1s1}i-exHq{Roc*K? zKhr6}+OdmbC#475b$s(kS^+yH6>22ScM`O%( zhWvq5-|M&pC`v3cF`a*5|J_Onm%<-nNMkMmNTNW7tba?;aA1rDuNA@c@=kF0z*ql< zkj2-o{dSkpIJ0loFcTJgFCQx@^%^W&{`KAgMT$xa%56Cs_d!BkX=$0x*1ZliE}nqW z)#}jIAXz85=r;Oe*`+*Q*!#pKHTIGe4!HulAAR?gdviMR-Dv%#JyLzia;UmoQ2sJ3 zTD`MdqEIQj+V1zN(C*0d9TKc;H#-Wc&c+0eeBGjD3feBt&QX8C`E`7H=H?-o!5#uK zzWwW0p3!mSd_!v0iW9c|_dJ5#l!Hj_WT4n%uZftk>~Uhcqi{>)dz%R6Sh+Ff*53eO zi#-hV#;%nMiBf{ZcN?2KrR~rmU>;iwrW0w$iVuCy-Q4A{0L9)7k{LrXG6)Ga6Ro8s zgE^rq=Zf<@qaG{@2%XXuz97FX0WOB;YQc=4g3@9 zW|a&nrY0o#Ewn@SCTb|@qTx%w*&TTf&;7z2tvcF|X+Iomgr17<#@6KuFQ@?&1*skI$Fk3+h z90dci7JC3ARo3%!okVX4p{(Eq{cxtiSee`ZqV@$7FiW1LT+z~!0Jzqr8T>HPQusy% z%qgz_Jp&cX&l*%1+xy&|sFo8yeah)pLqnsS#hA1D;1brd9$Dm<$hVes_4Gh$G&neDg&~aY9U)$5HxB*vYkB|O zO@U9IW)N9nO|wU45YO&5Px-2mn-6!PeFTO{Vh3>k_eqc~* z2s4fd9sULx0w6XK77gK+fl%Bbk~)Z6HZRaq=4lqXcCx##c55fNxVe`oIR zcpek@sk~l|XJVGwBIQ{#j7W0QRg8E6KmZpGpbmlBUF;g<4;z;|^vq#zcU4++XL~KG zLa^?`p>W0=U)m-}aFOIcbFEaJNeg^+Q!}3mTpLOk&1+4>JXj4fXB8qO42h3IvB|xh z`5v8~1T6n6uZfC?*n=X7$Y8L7?o3?Msk4}_>+u<~Q>tSc2br6yOdA=B$E@O#jo&?e z>f0ejCD&Qg35U6X0@pYe$sAjYxCd{l2@Fs2z}>rFn=<Xxi%G!ddqwb}MD3<-NJ-TH1CccJrgXc(5ob>RBaw zx$amKd!6>4psT3HC1RL{rZ47MBtQlbo0BtO7O5of!^@`(`G`x)`U=mydsiX5B8@G*` zNu!G691l2Yjj^|=;Y_mfu_yrg>JoR|zzFL4|t z*%S`ZXU}64;1b{LPfhvK`EI*uxcL?+UFf#ntIa5mm8-T7FfyHXW2$k+%#!$_?Z zw&sB|x5GI$zRqB&UbPXBO3LoQ=a}gg_4u(W!dM>M*7(G>PEqVHPwX$Qi^{!HJsnzS zA4KfCr!~qJcpaXEYggec!oHBpljFmPN~dQ;?w>ixUxjpXhLQUHO%|RoI}9qly@Wu^ zd=s|{M%_Ww0+DCQxXzoWwwfTzU3+G!dYX5PFsDZ3K&?;UzR&0}Dj}4#YfQ5q{qs{6 zGsc6xG^IE&|3y=AOR)3B#=NvbBYd#-bvh7V9&lWZ)ex+$tTcKAe=+%mi$;r6qY%c z|A8Re*U~8ckG#R7uUM^zNL>r0=A8{PduPIULsp|ydS!@JQ@Q6@i?U;eY3JgjG)lUv zS)FfH|}Ms&AS8P~l9O^Yo5CV7vf}XoKGr*k|e^es%Imc=&FN%{YMBlJmsb zWdaI5`4oIgItby))@7-)eS%E0CAahSGTCKG0DGf;>NxIF$h6To;~|gfjixM8_rt6=y&Iy#dztK1Dg)v^FKGZ{G2GBiB#DaaJOMi3F$rw{Zh#2ork&( z-euC(e|1*62L&--1+~1xIDnbVA<@`do|V;-?F`h^^uE{Kd+V(Or#iDHKO;9MPHmIL zo_XT4P)JNP-_kGZ1p1lp;#TZDQ1~@61Ei+Ud;4nR zSKMt`f9~}q)LCc6YH%CM2UpWaeJVRscK^+P*))LVR-Daet1skbhj=3lqm}u>^C-QylA8Hrfc0j= z@5|-y1os*o{*<&__*UWP1{7OiO^613Hys{XB+P?z9ABdt6iV__-($hIzJb?>awFmJnGPq6J*mWr1E#dcG!>~)@3|37#jTM zif8qLM+x?!BW&v?X89Po-kVlo6@}m9DknkBKF@t+Z7}~#i6K^*FEt9#$S1*7q0hhV z*LtCAOS&)K4)`4*SWNM+m#AI?Yiz7d(Lh4zdMdUG86*@{_n(f#nI}{_@4U-{-Ha(Cbkq_w z1XDj_?-c8nUa9Ut3xiH8w|V<9Xoa6y(r0FsWz-uqfK5+$In91QzxGW=HaCE{$U1Q_an4&vpz7qNiRG%Ty zg)2zM$qEs;O>vz4fz0gOb$sZMdBZG1-Qch7J5ktD2%4ms{be)ccN7+*zXV!xAWtLH zc`Oes^fJ%e!z;i(un{sDu}Rw$<2QX}F(=+zoK`LpnLM(}G;22GE9f)8{(V4dlVa9@ zlL$ADw?ic9YnwWM0d*SWE7mRo#COO$`hS7+SfR7L@ylO3m=S}Hm^ZyE`%#zRa_y6nGV z)N@DHB%S|aPa3JD0BRw@8mkD%4P#7x4?qXQel!S>LN`d2Sj}v4q_7X%WUaA1j}Bx! z5y>6#+IG(4FWt4j+$=g}W|7t><>8?=ph=q;J9o3iJ4NG39_1-OHmP{1Wc_paAVh;K zcsh)u3kUz#5gu^lSyo(j+TRJR2j8U0jFw`1TLVIH{`-m7-nj>yl(|ghwkmAZVbZv` z&(nNN*RTjHrvr!pX)fAGw0|+du)qOJ#C7ydQ#_4{kKV+${%Ja`U*kg;jq2B=)65X7 zL%w6&EHSL-x(;Ld-9Ee;Coaf4U@RjM6^xh9{{f1&RCZ@ApOL~H6&yc7v}p9c7O*#F z$)}mOm)}zJy|`yeViho*%3T&s&0vo=KXfRt zWYO$6;(12nE58%1akqwlaM1oUZ~^PhzfG<*%%SP(Z0A)ST$*2=j|zn^NMv2S1xRpQ zFg6epF1zL|qU%h4Pxmg8#?8DVdx<}xOaB9+MsQIqzGpVf z{mLs0i?X~rzv)Os;Fs5BZ=_kEAY!p$-lfaQ88^OIW+S71+eOk~ZK7`*O)|$iEGT4O zz&dukN?7&YV^Ef*nc~rotK=UK0O(T}09+ zjjj7YWT=q%zL74vyo2Oh!`nA>{xf31f43{PIVpuDnbfKf-a`Vhkxr=O8^h zUCO2?RVCE7Z*Oi1V zkOFpAjIJ-A{I;%DScDKSWC_zK0xlikO0WI*hb3iB>xfMtKR42 zIIG|;EVq>ry0_Ap+UXCJS=p&IPN1#DTwn&uzI-Xw{w3+tX6dSFs$rT}!uK<1v;{uf zOe75(q-Yix=YtHNe0PU5KgKp29Az$~b_S3ukgsV?eCVt*@1TO#cTi6FVcC&xf) zjvB8m-OfR4w|UZx>*qj1M5G%sl-LE79%O(un-hK@#7|Imw1CxTf<_>z98NJeU#W7-5{0JQLIwqbv2?-YjE(R8T%9k z?}F6}(h|Uo<`>*_eCIHo%(=&h1$FIyiq`qs1{v0(a*E;t5DlB{Q zHdSXn0gur6nmj!iWD-3Sus)(W|6DdDE&Ryke?6EGZgLR1qiJSoW(B5yh-b5>hUgx3JQA}ULbWnM3aXfwJ`-F+zSd*eQ zb15ECZG`qlEovZ_EpV*`{jtr&$JyJ>o;y}Lp8*TefO4J~>0sR;C8dzqvBMQQ74(J~nR>>b zy8iCkq%Wj8mc2tLubko?+&OTXmHR2bc15{o51Vb2_*AEn{Yq03U|h(;OAcGt)mNGL%jMG_bSHVM`Hz|Zq~uTH)+8C?1` zG*5bI&gGwIr1Bq_xO^c6jS)968NCe>`916SWbpGhP$V!NxzGF=z}z(X=lrR1X|4it zs>%&ah&;Uiq>;wg(Ok$>_MngrA<;lk|2eNVWz}LqivsEEs-k8%^SusZuydb61;n{Q zn^7#-hCa<@5F8W&Epy?AZr0b#2wIo2I@80U}U?#vhLx&owA zQ5GXwkS}1!qULgW+j5-X<=kv@#JzJh>CL+%7H^tuKu&7rN;|8eAyedrBH-1=3CTlA zs#sqGzx!#vTMB&#dy>n#?pZ$CkA}=y2P4vt-5ki9?9S`bWQ_SjN3mL+2+N*SrTD!a za8VRQD}Zkpj?S?`J1MyWj9lUraKy0ATCNVdqIcnTph=+X`5djhALhX z_x*tp=-u-29Ntdp;N(SW9XD#?u^7xeFa^=@Ne73#P8(D$h^7Hri^!Ds&i-!)a%ylS z)_Ky58NKeEJZ=}-g4?bAwJ`@{^-Ld0h@HNEOGr5aD^GeRiTV-euK9P#R2s+>jW|qx zbr@_qT^5aO2k@c_!rFNK0Bakz^NEGME{im= z&Ymw^1z&RD;E4v<5l)BxF_zOht}^kO@#``k-Bu@N7F}Qu>X9^ z-Srb&iyYJifZg%DI=`64#*N&e%-Y;F0ynz8x0j|1x)kj7-ID7&*kF^`8OxZ6IpXp2 zIP_VO&t9dtWm`1CF`#pj^a_(~k{m2=h1Lw)Dn+U|R|lf!J)prz=^I~GH8nl#(yP?N znvJ(kz71_q zGT1w)J6PhRVSeQB27V7*@t6?VNqgXMO9AX4G%61(8jy zUBw{=BlvSykJtb50(z_NjB}#UlnQN$1)6y<7W&>mI&(Z7mn+1nn>Np3y!d(#v_s_l zP7BCi_5iFCx=p-PTRB}hmuO!xy5blHtksgE%?BW$JAByQD64r>?h@{Xpc&IB49NR+ z+ycbw9!TEE8P>*!?He+i2UO6NLJmF?fI}=qL)eX}$^NOdXH6-|<^>!UP}q4k_R5n( zH-9zeO*|NA?)Ru2?Q_es;osBW-%s?G%dv8}=HmW^m;U%)5BJs|9hwEw87^$ou9_8u zvf9j7@1{`=zOECTj{WfI|Nng}f2#GS&>QkVT;J1kiwyZ`ZviOrD3BWB59zfm{FnL) zas=TY`gHseh^7?$bDBN}|25l3pdI!9_Di#FIvDwGGYi{5uBX0x->!t;%r5>P;!Z}| literal 37019 zcmdqJ_dk~X8$W*9A}cf5BV`k^387SyLfIs;NA|i3p|V569ub*^>^+LeNVcqG@4Y_9 z>8|(Z@%iEV4}7o3|{ebhsJ}xO(>cWm5d9EW*NmNuiRG?4daKob~db z;H1b=P+Vrj(|GnNjqef8Ro%N~9M`wbN>s~@Uw_O0NX@Z(aBI%}_vyD&zbDU%WGs2L zPiOj*V=MiArRi9f63GAisl5>i`ukEHqeCeEzRok?u(17o1(+iLu1>Q*iTQUqRVWtu z->W0)gphw%-xA0F-_41d|NnAx=kE2H?v+jz=AyFwn#VXnAt6Nv3}?sFUz6%(VOd7fTBNJC4@ z4*$+jPqcL&ZWXA00pD`Asz3y721LB}SDJ^bj$-(9?N=IUO}o;rxJ}2q+BZ^b_vK2t zEwikyu9i6u_4M2x^v%0hL=+~osZ-M27a?~rqpnkAc_+hGS5woEQOZT!hF3{xv4!zB zN$8{GjyvhXZ@~%VQq?g^BzcA!J9q%@mQ)0hVxg}}y zLburZabO^U%fdi_gwyZ7%A*9|Lw7H@@v!7#<<`jaC@%E@AD2z(?2pX?=g-&rk;w+V zc|)HO8rY)m{#6EHOP?F9uC@+iWMJSOG}W9w9iq&^$!XjY&Wa#*c1ujm-6jR{>9;Ns zvRZwDpT{ z5@zpp3K9B{VaJU6Kr++A{hgra&+ETk9DOl9K2FRudSBT1+Z$0;Rn?ld*B2J9I=>ab zy72m%+hXZ7YGW2f_pT+%GBSHDKVB#%AY*E%3m~RoW)7R_&M;m3{f*Y^M!CyEUC~d2 z=l=e<(z}0B&vA3ttxmN@gok6mRFgk_>T%ig-rMXCl`(H;m>;PewB7eTm@^c5*u|me zJ{7$^dUR;MrE}-b9XGJ%;~~dOQu`jRC2HvF5C8rQ#@#z(rn;~*laYvy2ds>```vX# z6B9Nj?{y6k5s^OIs5ft(@#KESjyikYa!nd;epELVYZw|#$u&;qyNz=rUec_bADrlD zyID@qef9p3%b-nhWwZ6r!lGt(V@?Pj zqvy5KxIMvqFLJveFX@{X}W#vF#(gjqoZ(B7;_jNF-_msrr@Amdh>5*va+(sX=%+% z?tdsKpn%EOm5lljCmoCqV>T|h43{~-61Advcl|AX{0;MxhVycA%)Z<8%!0;sxDAbs z#$O^iTRJ)jzL$3NcF69Xgy&p_!P!=_kPj<$XPd_KD91}oYC z9{dbl&cPD95@IsR-Fa)KCm$drwZ;nAIkl;TFBS3(U@|qK6^bt?lsY7N6wg zVvZRXYzj zI5=2@geY8x90#wO7J`?2?+_4 zkqY;5Fb50QlX(@Z&*&~Zc!3W2+_`h)=g*%v8TyPGDy0G;YYe|Ww}H=&8LL0}(eBUc z2GO5->|Nd6jj)l8Jb4vt5D&y%7vluqeq)o6xC=Q+2fA2&c3052A zJl7liu=`zbS()Tu>E7^?4;MNQNS#U#AHGKycpFU0ztaM>U0QT26bLo6v>ue_zI&%! zvC*q*^1JP|LPmFRU7do%(ZSa9#^kn6koH|bAXz`rH_k)!(PjFWra+?TYV`o>K{QdhG0h60N@4Zi%-<Wv#Tx+S*MrKP1NV|4+=?n(v*36QEN1uEAg#obra`U*?~Ax)8k1JfuFM!b2$9T^qX zcyZK=9iGxS-uV2owe^Q>aD0Dq8($Y#=M9CR-Zj$HPK&)Zn}@A2d~8BO1;alVK6c1b zf}N!l6lhrY`@flES1@V#|1nl5*kjXK%?xOwq~$*iylRZ}ezhsPjMJ z2C-6icrmwpQ32A9au`zxAf_=`ep-fl3>MDvwA|5Y4Gj%6F-E+6>7S!pQe38g?b^u% zpWTOW3szy_Q(zWc*UnOc!D6L$68hC*4iENB0Rw#=f5x-CIcR5?pFF}>GW6v0XK_8p zFPuTa!L=|WLDQy_FBqk0wDp~%bA-Xs`Op*w5a1~VyYjDIUAx8)cRz+lMq(q|e^SHj z!QI%;pFaTxrBmvdz959+RM?eqJKw!C=%`_r#vn{JCdhc&Z_f8?nG%tbDjOO7!t2mB zfA#Ib2ZKubROOI5c(8rHS?t)K&eYATa2ydF$3PJP#rz zI&Gaw4^e3u89>~IeYPLnR!m;d31N43b{4PhBqb$jnJ)dzOI(nYlar&OrLAvnCQy8O zvNqqiJ|6(3*cqwp+uZ*C{zyJQXL!>^pMAF>NTxwAUNp#T4f!=SDNjyMr{?C8E>$1N z9yAPETx#nTtPcOStj;=@dWLPMLDe2+W_OPZ9F zuCi@a7{e;{mAmFGObb+PV}E?`?MYx@GoG)j8k&Xy<_sLP6JQ1g?(rH_&;gsEgJ>n> zGOxp{laGMc77yzE`6wzXO8wKolh3wn=IqHcVkg6-R|#!DkKy0e(i#WM*^qMixuD&M zH2M*Qk0uC`D}ZF151MCKXkk&&(e*8MdHL1a z*P88hIeSzx0hXwJj6-nq&K)yPlBlSt&OAdo>;6K#SUtxRkdU4k*FQykn>?c%GT+%@7yuoS{!y859T5V z5_n$oUEjf(tel)ieb?at&&5&#pwB3#f^D;2x;*3lG$5dMaIjo+$&-!Km<;^+^VWzb z3LnZ_0Xz)oJ-vPNCKB}pH%H5=oR^g~`3LfE^&EvCI5P4%%Tby+N<1M=t? zkH)5^y6%rNiG|9k1w1w}dd@%YK=hGAEe>)8%Y_S++|fi2KAvV}WkuJ#H&_2Tir-O3 z7W6&bC(d248(HuC`I8m~=_02#(caNvSM)#z01*W9%kJ(HUt3!jp1k`#%>@8dfp9SL zT=2b|Ccx%NTCTG7o9pZTYc&^)~sx5${xde*JR7b8jv{{7(}f5u5tVOUJVTmefsZySlZ;dLzIKp@>cZ`7u?4+#z$iXU2giX!5T*&h&b1yNj{SG7w7 zh>Qr+ez0h}wAR|uL3VNY5vAuEWMd1hfwG{;BWUpL<5eL&VF=3rVW) zXosXxB2^WmprCNmz+hx?qiZ$&`}dn*d8W(1Y9U)Oqs)A`+;sv1Zb`@%@EtT4FI3Sy zZ?u*DIV{lvAzcW<0ZM@BWWB_5D^{4fXS0)y!49g_VS!Wl3*l);J`y9;6wjoKGnVH`Pud-fm z4c1lTJNgxEd-ThXY&=wIF<)QSs0JfuXIG$eFW@xBIpe*}VDZ@QTpkemHI&bz7_)c| zFx(Yh{W2;;?+xnBg~7n7*4PP1@J)~j2N*H}0|SRU7DRj2Ha2XWU-w%V6PvtAjQVXH z^X0yRyuAEd-4A4Rf(Rr*8`%fCX(yg_T39>B*BV)fK7Qy<`Zla!%IaLm-8Z}y>s@LP z3T@X`9xq;W4~3uzMic@-m2}i+k59~Iz#qnDytla!FZrPL=gE9o+J{3BpnbBr(_*5w zes5W|x3;#5C65%_oDs9`!vIgGfY4d@HJYaYf{II+)1XaBa$(^qH0ppl)Y;b;w6|1U zT|cd;)HB#3VMix!&jL~6oqA%ZjOS*Jg-9J_4S>!OVg~f#30i9+pubK%A2qhQ4 z+vA@0MD98PIgS8mC&2}3B%>lAo9>OXGI=r;|6NZv5Dv9yEd$qR%#M4lTOt9Ul?#7GIc%ry%Z6X zXRKWTumT*T2|f-0m`D$T0M_BblJ5jS@`auQ-75aBxzYHapDRlz`ahaG9BllANNzOS z^ZxTn)0q{B{J#K3+AwACIMJ|i{?g7?;urSXws-UJ7!b{p0zo5#i=Zn_V>fY~b)cex zKL5t4dr!%b<*`8KaZr64*u$isSmjmr=0-R^e0UzsjG#JV^Jsmj0ZbbRr1;lbhul)T zW)USd^$+e$;3|GgW0Uq$DfrtC%|(5s|{t;eo^Aki?){ASvTB*qDO) zbg%f8m1btsrIAW>Lwa*`13^b)5fI4xX6kAdNIY|J+rYr~jH`|g9hijCPm9~aFvt7m z=7Rxl-waDYk{j~g8U_)L8Wq#R!^vO9#1!wSTr)6WB4w2HFB$P5KHBm<3It-(AG77W zu0lo;5h>v@!V-W0ooKA`-phAgGSGASCR#kOm#6(VVBO3JUXvChRI2Utcz zBBD9~#QE0!!XTF==jVUlGcpeBtsb_&^<){ z3vQ$ehJPs28N*mtMt~Yodmxg&o3F3jL_U5yE91% zm{2jJ8x`EPH+~uxSahb`kV$-NS9KbFEQk(4;MdYSlTj|^Izt|FIc{Ld1+ddFPLqX! zB60g)@^6#%%(wUU*aZa0Ks3wD%BlmoX$3Teq|cw}P^k|^8q ze49ZrnCduax`DMu@~9qFxuFGcmey@=p+rMRCx}dT8+m)tt_gxkxi={X2(*70G1$U%WWE5BX;s$g4vuUkMtzT(E8e41Eet55n3RRDkl7?eFj3-Wxp%1?M=% zY@pN%-fs!FjZeg25YSM50iq=Ynqg_l4XY6Z>c#%{M3^`r{c@+vV8H+d^p+*m%2w$K z@bOJRjMb_3kpX39Wg<*&9Awmw`T`p~0|3BKGV|^2#R<^VK2_4D?{q?ZzNx9%owFsQ zVb_ENWxkb^+OhO0hfQJtt826=8GZ^12suPCQ) zQ1nyK{#T7w^I*O)j-#U^io>N>8Yo}Mc#4635)mDZ2Xx1J;L`~JL7x}P=IjA+7{fX& zh`qCxXeSQQ&HgbCtfv9BQ&8WGLE%RY6xBMBnqk+`kN{%Z@#H|JIy7@!ti{4iC;Bq6 ztAsW@qvk;&`pMJ6xB!$a--bB@XE8q5-B<`Uo9Rk-19A&l!p>-MsPywhsMJj@t*0RB zRNq;v-@FzlP67HPFDjdWAVLUis$eegqe&yt{^3@2GdMktel*U#rN}aoSc)_ zTtV$P9w{pRJ({_t2U-A%uI*t7Oh&7``#wF?d^@+4-ZTX2!38v4iG>aCJ80+X1;5wK z7>BIW6moGS2>4jV&hNK2F@^*L1niugc&}f-M)AGR;f{G*qTHy<0jTU6y1LKNd4nof z1GzxZs+V`Lq#Wf=SJUe%+}D0hO$8KL{Tw)3fZFXFQLA4wGY_{ym?$*truox)mva04+T0#?s>J<6Zd}wQKYU{l zvQXtcaP(l&6*Y|I21@n57`AVTa?E7X%Lw{hpxy z{}`H8coXIh#xL$XO9e86B#K!lnnJe00fk`9(udmOC75>y}FezIYs#QzZj?6udzcs@Qp$cNSiVq?7_O`(4+3_!XZJsg#d?s6t{5$xCbI44RU_%6$T0ofx1$>Qle=R zC8bH#XCrv?U`#b2u`FB_{a9GI4C}7lq@iKBSw}3;=h6#OW8I6>7xFSouAdr$nc2|IO@%8IhR3Xt{K0F(B+OjCcNf-)ivriJ*`H*&jAPg(&fF}#J^Z3MeYcwF54q()ibvuDrv6WM1OE^i@`gsg%PM7?%rG7!x8xQX;? z3p-lG4BX1e%yigXX0WWmu*AvPz4WAe*5ov=Ctcm%{NLL}Bl++l#Xp@x*uVCl%&+Xb zT-VSzfyn1<&aJy!xrh2aQ7|r`Vim|EKiCbBGK=#LW*@0{b}m9NPw}JJj$~e4d!WOM zZDw`{!R+p~%c;MwyB$28&KDj11HqJ)DaXo~yS~!>tdJN~euq1HND`KBwVDLrc-Q8cOKD{iHwtwdnH}cFka`HD7GlJGT-oJm(XrPQ*+vzx6 z@-G>=xiq4pKV)(TP7vdz$wGs`f4u;v$Yj;a)A`xAd&AYTevi?f;2>!HTcJ-o36DcS zW%Hy#Aa!FQC!aoJ3JYeqJo7{71H!iRx9*-|ko;j@8k0aE|M>AG$le%(JlBT&md7ve z(V6BTr{K!F|GTnQgIeCQh`zQqS&(kMSgs{F?)~}Yh!MM!n3j#d4FDQ>Ks@n_?uC5+ z?js|s1!4$2{VW8;IZT9x`gyrP%>ym0^+EMEUse3S{QxZsCs>ny#Dsw-0^K8iT=uZO@kueg{7bZkOmVyBjsH}sc2l7)NTbP-IsRrCS5N2vDh7n1aGw}aP^j~f;^)D%?4%)?{ha!xC8>dm-c)~E6dXONse6%gylom- z;h%6{P|Htx-KtgZ<~I^1eY(s0w;N${GmVHv1y3Fe>+$mX`h7AMM~X#k<<;^-Djo(j#5@>P+5gRRW`lZpZ7nb?EU!NFGy?;6)cXkC z+VaO$lywEzL6h}=8y<$c1-6Cq{vwz7Z0AUr+5#$w`VTs1bHdb|Gw@~>74D-EP(Y<3ppJUO)A6htZ(=bdw6)d zU%Q=5g7$yc;Va_xSdxKEBeDKDA;DmIi_8cwTvy|P*|k<8mULTJ^~I2X8zbs>3FS7K zKSGbzIM1D&jq)^uqq#lFzTU4A09xe+`=j5u`6Y`64dx|Cy)SY{x_!5zE{}KEglGJK6(`jbunR(sIV1)-wixPu5Gk+Fq- z6zBUQxiK&4A4Pcn&j?zLzAL8RlJFvSyJBQSew&*bhs9C&|1lG|f*ocIHhx2*>RwK< z4W9ZW?-1ULA*_E3sYXIVl9`j^Ft93c<>pO6sNNWhy^Y%y?-5GZZW6(hkM~WuD#tY` z`EQB%?r2Gt9EB;}GtjzY_GotE=IDOIAeA9rpn9pNAb1_sL;8;WFyLSN1G0B!2}Iu(Q9bY$ z4naXe(AFTB^SevW>b}8FTI9nr6}%Ff^auHa=43P{0?0#ZAUPdZHI^#YNFTJv1q1MI zl~zEL+;#C17Dq;HQA~_#NK!vRP+Y1RqBQC8j1;2`v>HwSn`={n2`AHx5A_k0Bq`J3T(8HpM9Y)GEJbTb$j zpLqyHm|c&J*VFUd-rUGQsS_94qyoiOS|En;W$KqNheWAN>EPhwj_teqSdCqiZfkAki~cMz__>Vai&pU=)WdNX`kJj(|`m6@ts{oSuw}u z=<=CRH?p}6$iF?i&<>3)y5H;a`sA+{Kb4LJ4-p0)A6Y1(_t zv046;dr-*;1=ZlMP&h=(CSPPk&^-=7*Eu1Jd(LG(cL3`ovcJDSHa5oUNtV>rhVA0}8;3ba;qcxlQLgY~YgV10*{1gJ$4A%HuR+EQ8BpsE_`M9enr zv_Z3sDN<20G76uU!T9XXAiOje5cv$X=7!+dnvM>`ULlPRQBiL#mppbyyG28F)#L6t z?`I5H(9w8ZXkeWa|J}WK}(dzxv&-HE-4Kt~E7<4)E zr^~84LSjB{xogQ$J$7ZBq$HMyJZ|n;m}k#!Tq1m|k!m7nqC|y2=Z0!bL3nBrgromu z@(5iax|7J{djxxu7?YN7{^z?fAqk0JUY(f{M#;H;n zR@|#spXJ+)GL;4@DBU>wlhjCF6X9sqS~fGA#zMx%aBO1n2y_+mAsx3iD~593*%#r% zigFU^(LV0$f{oo25$T!OUa`La;N8VN{C$tR%}Pq`KR)5;ylQ10Y;7g3s;bJ&a`Yx+ zIgdnU`CxvRM}Fy!YKeY1ihB<-?#9{gN}+YfiGS$E!x?wD3wpCx*FtV)|9~pr$xj1r zrGd&YG;_RT3sB4x2qdpd_f3n9iKzpPS!)9a0bBwLT6mk|%jNf_s_HIS?2c5&&}EXQ z?E&TLnp1Lj`e3mPDIibfs22sMMUbGw-Tjp&iK3%#A(OjI@(4K>KzmlWrpU;&uJVC4Hs1`#3m5F?Uy&9S0XiP5 zS5e3gX!uint)pV|mgSGQYK#t&H*x)xr5Ih0Qsf9<~Lfr#>9%?%txkFW>p z`5l`}={2ya!jH}^ZEg8{59vfK2w|m_RGMqLqckZ~sy@7XM}IczN-w#%;P;J?*p1!I zJtomR9Cx^-k-}S+#@93{|191{&abD1w>rcCK~uWH>0k5uLbXDM)RX;vJ+MN^e86Q^ zzFUmzZ<0t+l*&CUU;AYwfy46C4$n?dhX+*1D5sN>!xS&0qp=YM#l1_gt{^3hO-%5t5eBymw^ZWL8QEZy=)_`5pBWfpMPD@| z_IyK3NQjH{^lFt`OFQ1&CE_~2G-Ch_fTsVsRUo&3K)?<2;kwF#0xW>>ot;A8Ehoq+ zgkD4$uvx}R;mRK#Vu2;`lVDChCBh{L{M0|$-_bD;R90NvWH!OtY}Jnw)LQlzqGdL> zJ-7f-C;YWLF6b=ChtYdn92~|l=VH73;2{16Mr;;syGjFX?dPEHoun5@`!<&z-;$<( zDq3xfQ@;A)0N%CVk8dV699w_cH;WHSTD=>>-xv_|8;e?!J^1~;I@eEQ*BfrIY%~LH|@5%rQeHy}9+ey+SySJcKkC~d< zj9fub{7?F4V!BeC|HgO~%A1Z(VXPM}Fiv+Q;usxFG?WGGiR)_K0{-t1i2psZM&9a2 z7>^5f_Ji3*Tp+Q+e<}GL*4Z0pnq<_HSzd^4K_j{C(B~9qN|2`hx`6EM`9Ks?3QBGgiYb zImd`|b^=W1MnYTQjo8rf@ooh1Jwh59IZ;0;mh%q^in~ID8A^_*SoiF(cw~#*7Zyzc zKa7Z|7jP?om-EYtoPlAyN9c>nOl?pP?i;n5ztn0sGmAUbhIs4E8%w0-dvbkJX9LtL z=)q!y!@`4hPx)OUE4p{c_Y12AifDi`Z{#77*zZE=uV1vm%iE8ydHLpf{t1!4%jX?L zj(z!Z02+LPDR;;fY6b_-Of+*Tqy{TO1#^mtjbcLs_zn;={?Alj@4$k~&SIC+#hRR$z(F$e zv~7_drPqmSe6g7G8}5<+F_|>MvzqLytBy(CjJ2gs=2$w_`n?w8|BoS=P(9$ z3J9;z;1L;hoy}3VtLwIF7Gg<+iTg>=Vj%*$3#Qt)2G4GK!G;9$vI6&7%1{{hdu&xA z%p?Qx#+~D!=ph7IA&QGQsXIM2^A8mQXo;EfEQexh@SOc!EQ$yz`wmW{>(uh?CL&sF z=gwu;W2)>RLhGu#Vo`pzi&WyTLE}s&ZB}lsf=e;!>({3i}CmuoYyb)VKz|NuwO#q$MzMqE_IoM`tDh-yzbZgYGvEy{HdiwFd zV?>eV&CMBhYWc4xr9AFoDNPbSBg3H5Kj?tJKt6|FGghr!y%Ugvp#VAYJ|iL0(+$!M zV^&^XiOraSh6X9}=cfPzOu@vYscvvkVvtgE5XG*%b2Q7&bkgDqi^+W}&`|+7xEnjE zT?`Ymy?ssw!<{&y$|3zHui_>KhS<5>HX#USKQ?+B(0-7_F(bRR~e^klo!Gp7BZ^RKIpFzuX_*H{d`V?fZ9)P+2 z6U`q%8TG;B=#DBvZh-JP5vlghWM@@M$mw?xo$&p0T%p1!wObjIK!}Klp7dKQ+t`HE zhwfHwU0>_6q||@-@4u)BP6uHr+5*NT&^(P zIW;JP7>FYN}WBZDcs&Te*TEra(zJBi`A%J<^o z-4$rqi&RV`!ayk_Fwyt$G}`A4EGtlrzcj6W&p%+NzWbxAO}dm3X3skD{q6tDvVL^# z%o2jO5AN z6U}!@FRU;~(RSpm!JD?{v^L@63+7iLOkMKv;pe3xmX@g$wAEvPDB~YUh9I|Z_mp|G zREA1j$1lH7f{0hMczPe~$Hc_2iHqZ!nf7_^m*g%bl2+(>7?EvfViLp;CFaH z@M!ll&2v!(DbHetgoMYWXP&c*kIU$37<(UBS)HNYS*o@8G+LXJl7fF$bNY~>L|kY8X;6Rw?}3n=R8esf zA*bnO2B-tx+kbWU{TAv&4zshC8rs@{m;8pTh~0vFl1j6(x{{ltcaI(wV~KqKgnO-D zx0XkHj@nQUTRAsl8x3r#q`+8`yUkdjRTsLUfIUF_%44lFVenDz0T&zgO$`k!1eDV# zcMh915Fzj7xVZUk<=SGA^<8|dB|POLT|AG)(Jh#%ek^HCvOM^B0Y#fp7{0Mp~L-ZCcZn8&gqH0q5sPLP$^hl~WLn5+wXj=IbF*AOyDpSSAT4JFr-B zA!DK?NTth-Y$81}u@}fGN+~Nx%5dBCc`z7&64_Z<48?aK!(u8b_paiF3;RX%J`NL3 zE?Xi_nEGU#6+Br{U_Dc)n71X2Pjj9 z!Og$OD6yp&G+T?+8+|wZp2X@%HuVH#GX~nlGa<^r{GA^L+iQ}snDJw2N*2Ajo^-|M zI4cgI-8(}=)_`-*@yU?Ec98hN4MBOT{rOY-H^nK64TI=td_vYCpD!P%5D7~zL5QmW zl;E(?2emCzyqim~b-Md)xPJvz4dSUOGZg%+Ox(4wu)sjU@-l76Q!perx8=~KtTc&K zCS!>pxOi8n<)cX@5^i7Vi9VFWtny%}MsQ$YU-*v6#uMlBb%38xD^E)!M2{t5wzoN8 zzD3?R*PwPbwg`EUp%VAnEc4GFNK1D&+EPeD@--KrykJ-N+3#0JIYa*AY8wv$MBg_v zW8qN?L?NC$K+o+R5;zv4yuVd_C+NjKDUa3*V`ct^))^FAX56Znu}$>MZBL5ndZ zf~oXWTkcdzbnqFINB1?eBQra@vB2~$>_lK~5&?3OPLQ1by0mgwXpv~&wJQ>s$jGU8wLn$N=A4=$y77|q-$=Dz66V4AwB(4z? zn4n_$GuO@e)1XnXU)-VtD35~8Gue-oDFeZROSp6RxmRu1#255OXw%asg*n($Y_oH6 z0NMf_Vw+;Rnjx})t961o5lcog2GU#f)gL({j?kq@IvhH}c;30RyVS`b2b%@s^gQO) zEk}pV`5%Z+p?=d&z{IghUABbu02~SBbiRkY2sG_b!OobNih|5!wN(`nVH5ka#MRxf zA^b&Y)VOgdcs~Oap~SEC%W-%hRTG zA3q+p^5Wabva+_msfVOJf;jGfV@qzZ<2j9YOX=k^S|8{_QdN9EmA_acZa%JzRBAap zQx_J7vhmEF1B!w`?LGp)9tE{%mP*Lws7Mp>^X16jXPTkU+-*f?O|Prj@bk8a@P%%T zo8eo7G>ap2a>3>#3rV~|t8;u2qWrIkiNOg@qgzPN0TD=Sw-z1g z0yZ&Eucq5>juLrCk_!8HQFV1cK7D~r(0liXBbkZ@st*)}$He%-{%MJRe!aUZ$sm`2 z7tdecEB(p$2xVpzl$2I)sVFHTJhR`w2Smw-PZk>Pc}^b=wms?Uf`c|?8w6hW?vctK zh>+kAVB1wjhrG32omt&aIc8=aZ+|bH2JT0Trjl=I=~G6HM5)7@y?a}}@KA=Q^1>2e zzmFv6Xco^#ov@JbM35V?4rtQ_sorf!}8?X z7oSA5Vx#6z(ZKSoaN$Da>?VIk0_qITv$&7S*r8SNm;sUn2S)+h?>{?~TXXz4?f+`e z;o*X%fnA)etiACyWgn@%AUIc4&QXxx^fUBjG;wv;c5}abB&u0rQ54kE_KZ3ejw4+>cfPdF<*ri0MV$hZPkM^CK0qG2Z#EMi9sM|q zn;kJ~2~P%|N6sh%qC@Uc(D*5NHn!r4tNheWRY>jkI*xfueY$Qu*`hdX=eVXG=l>OlYmaOjmDa#%^wkDi|Mnya>zmy})uV4ac%}591f|eK zMw-xVi|c?01aT2gJ9>N^Hrzcb4%pLi^W1BZR^Z{s;$U;k9T_+xK%jLQ4n}C)?cX3` zK?upVRBZX7UGPiLGx{GnrXm~2EnB?sQ)f6-l*L$NDxHyrzYk$^eACsnh9ab>C=#d) zf<_5PBTy8}s`#{Qm?KOL2@ZDQf^T?L-0G#*m#sdo+o9HeQ5P*|&3v|Oj zdT>Y+w!JPGWoMAXG>iiLkufLszLp2Iec6oh)6TyJyVj=Q{PD+ay z^r+V=eX{?}1bP~=5&V;M=hjrqR4j3A1pf%x|4QN?*3M#pLqiLj6Hc`GBXGnLKd&M( z_>;(7hpg;|>Xj3-UHb~>Bv{#FkAo`#!dkV<fm;l9N79svsr%gx2)M`{)patOx2a3ln2K@~DLcX#K#m2@U~YwY2@Yp=-tK7A5E zpdnvY|BaOn&%4uzMhEIBDYoDr=Xj-q+u9yMqbfE6p%D&X2ZLc+kG|Yg1~XT^^2Lmk zoFc-nr?)pL>uV4Nd&(r!)slb!Q9OBlC^Z|2Xqhbk3SyG+G0a39OQyy`yY}6qV=s;; zc*;%;J<&VkN}kW@>T=9C3Fx#{+dkN^((ogg zAyVnOLyP!7y;owNm-*)&a$oQdtAGA*b@>|?EC8Z*YpnwA#Yef>#5F3+!)U{k-cmv` z1mRWy&cCmn0F#GJt1}U*2e1g)D^QtoG@EOk51__CfE;r3FBZDO&Nh4YJVHdaG|+Y4 z^%OZdA#`B#6UcWh)Yt89{aN{8DGI#`m+|GVE;+3A>bifo%sH|t(1~qyvb~fGJ(NK~ z{Fxw+OGq@Mil_Pyw+6jQnko4&j zJ`M3_>lYp`(6U6)dx#kSArCmDf&*@pl4_dtqX~%PtpclcEEeIyWVKkQFLV?d&FzVD z1crukzzx30ykt5-JQoNCTL-1_M|o0EYkH%)<)4uOXLB(x`GpH96cFxcZ=`2r2;1U~ z;gG!|xF~UKh(_2(DbjLZ__#mW!9fU0#Ray*l1i61MwA}`O204m7V>alTO0d1uyZ3m zSM_UgK~O-dbom*Rd#}JmWOL~VpOaI&kNi(Dl|`E zAxg@j7_Bpb5$vg+-@wHpUs9o2H!UsA#gaCEk@qzF6p-vp)AaOPM~Nfl`)X`=RzPw! zoosn7Sy4%jO-(%oEXt{6`h7+Qt)-Qfrx$}`4#dm-^=^Jb)?d@+H7S?hGxAT5?>}M4 z>A;hRW>)`x>!;+{%Bd6}E<2J12dTnY)HqphBG}0r@!S}4Y*|^^ps++F7AvM71xu?DrE{fW*FCq%<(R~6P1ws4>whobVfT%$=KgT0A`hHODQUn#l z#>?1PT98-%1N#h)*Ic_=wFwQvKkXNMj5g}pPmyRB$mD`StiwT*iNaR?dbDpEx-UVb zo7!IQRv%mVCM?Nzi=VaO$b4zUZ@g;B^GI&1j*){O`wC&WKQ8tH5l0?Fc~wK<#P*vB z$)dr}R|fR9uXA1Ro|)l@+T<`F_;kVMolNykd|TXE8{y%1-=>tf9K3FEIWPP`xy@w`YoXN-VNwK6Yu*)iCV!i&TNRsY*k3x3z(e>9q$&zoZ|_ zpW#w>;TH)ZAz_kEcmN&Q_nm_uE_~%P#lhLRecOUa=d6YutE0_RaNF&1*MVhzHqq4&v!S2#k~D~ zfwPr=hj)AZ^^2k$3p<*_LqiOYvz=yUm*zz zYiK=^zQ+my)8IGGW@6mNyyzGFp5^yrrU}L4e zUeiivcs4qgR!Cgj*7Rsin+VzZz-BcBaWDw$uj>p$!9kFU(9^^ia3JnSEpt7~h^O5{Hu>ENrP zLODvy#Wiicw`F`7muk_Y(`ogh@su5R-$qqMcV8a|a^XURsOPu$y}GZ^&4j~&Rhvb5 zclDnJeRzEB%s0m8jVK5OW14Q?K*AFZQ{RL-LH&_ovb`e`OBQc{>7ITg`nyz!^4i0JCsvrV+hpVhB(jtKP^ zrqkz@ytWy1;n?uPv}R}V6Ig+M*R({|pL+$e=;WU{DFEwY>FH)#v5{1jmHq2mb`63? zYrof?=T>(wFO#phy&yTm9l2VntEezVOTajw6Y0IArqb zVX?6WW#3{B8uybfWOO%i>8o9Zt_ikcv#CGVKKh-i7yPpzqbAs=?7DUSWIcCgvTMJq|l^%HZ`!VeLdc6IaMA^#O zLzAk&AZ5yI@8QLkl)0G?>FJ?)UQ>PPa-1VQg{Hm*Z>Z&)qSaEBM%ZE6k)3Ul+2*2` zzO=Lm*8UQbl*DdpKdb!NZm<{!EOB-=$EtY1{QSRRNJ}^L^l(VIE*7qv$KL(=RV+L{ zUQv8#FE^~H`04gwHObm9Kk}1{6WZ0gHCcPlcShLg`S4EhVCGLnZhLL)|2!H{H|Of< z!R@OkZSFk?Xh%+Ep95ET@u2sv3=hfG@fGn5_3G;^-<9o_PNVYk%8sqc)}jm*b&h98 z5yzmT)}3IeFhf?xym@2OOJi~>u)g;9w`e#!@eR(`rX>FG@uh8S48Ego-p)~6ol{)> zYKhNhJyjbEv>s8}{jsh7-{z~KjJkj3z2en<3PZj3Y(JGTXg(x*rE?i8Jm|j21u{{C z8#n(?ci-WUb^rZ;U6d4&2uakHMD_}q)n%_DWRHwwkL=a35~4wNS!G5xmrJ&+BH1h1 zdvAW{t^5A`e&6r+_xlHaJ?{JVxZ`?zz2EQG>zwC#p65A-S6KLK5GDG_*ZYdf%Bb5~ zB}c>3-u3pDCWqQVIkc9-z(5*jmT^`=DOHEnfOgY6z5!U%b2uOzx(jnHU#lOK&ywSL%b+3ut7U2IyxDT5Bv5F8l!aWHft z{D~H-M4ka*>CDH&qpZ?)763x?_FAn*r**w`MB{8d?{EO-)UC#7>3>!g2M7;~LIHcmBKjhYt&lz)M#K1seZa8mHkWNcGdF6Bv6hW#; z)k;6KoOxBq+sRFO{rVH|jL!4@Z(dI*9upthnOs;%N}C`h3wSCrUmOz=p{gd{HHK=? z*Qq4kSwL0KDbo{YpOG{^1Fs3Q@Z;ytKUKsVK|%JYYu4#CGuCGHp{0J8d*PvJ&@nPj zK&9>QpT<@fugs)N4e)}%=sw=SEoeaLhQ?ZnyGI-E_3JnF^a!DOQHFcA({G28t?vQe z0goTAK+RUn_IOy+8zI7mY@NzkFXDV$(SqD`hwT*%hRu+c$jfVjn5YjVJ;AP`p?z_+ z^8-q*xE8DK+cuAYIm3`BCwRwzgRn3&H)r9>N&GZLbd@cmv9Zy}*f@4@knhOT`l(r~ ziJzZN74VH#huS;+S(9-pVeQ`zxke$UU=D3-*v>Tv`l5`F?m1!x3v*i|EW2#>bD%7 z(0GZphf9Vt7bKA)j08AXroBb*ov>!*y2r%-ek4b7FrSKkknjDMp_>yW$kGyn`V z{qx6?@R0*_g5T@I7tPK!9zE(O zx;Y%+Hj^cYloJvY85kK3E9-l$UDJ1~EioD59x{MBdcqt*EVMBh+SYixP4cQ_z~;l9 z^8|4=^km0OO|NrGW+tIzt=L`>kmK=|KW2^)2apeMFzUKyHMuFKo;!Cg1-B=3MVa2* z-JQ-Co&~ax2DCFM<}sMFoafzxmzM0kmx8YZ)sOc39N6Y;T3rW+QQ;-Hj9Z9<))^E~ z40%eYD1Id9ig>xn(C~)Kh+Ti3*v9TLH8nTUwV!*6id3KQ-0zyk3YSh?$jYYX2?mRh zrFcTr-Q!D+hnH|zBi7#tGJ+PchgxIZ&iTg1>PE+Sx#E=IsT#9CLF>h0SNj|mxd*Iqth+wo75v3-xjh40MoTr6`Tci7#GAqit+XCEmW z8mP;?-$K&Gn}z@Uq;D>7;4A<*aoET@@2Fe>X>9IY+}(ewDfZeyI4n0q)+F@y$ERTN zgK3VTSvWbrj#`*?We-4jqpkZsFff^}nwyrcv~qHico>SUpQ-q`o6E0LFS*862PD*T zlfov^cW_+M*o#$IJDIRq;~gDc$j9&WSe6M&v}*yIRF5_`?^nq?ixRR>l0Bx*jXr!a zB%+=b+cOn~W1@A+U|&v?7XIkzX@zJI40Lbrb?_mDR-b+myHHTLMLyvFwlr$X*^3di z-P<;D7RrMr1R1O2l# z+@yJ593MO^MT0v9Pne+qHl5$@H`e!7K>S4!kpPc*x5f0)j+NzQw}Tyt%3oQ1ZtFb; zi~WvxLuY4yKyq2uUn66$pZPu8W0Ri#kp1KblerSzAcN6aXR?=pQ3?PSljGjKvj8Uy z{)qE@>+!L%Gp;xf#BghA9UAQ>$`f(J-`|@zG&YWn1o%YenT3)Qi*SC4E zAAv}SxJV?pPI`gvu1C-8EGZYxi8ivS_PmRyJwZ2Pegs3I<4tL?xu7WyhYhqj%UUPs#UNyPQ94;frIBy)hV}AY%N-~K;ySd39)th_o1x^}N9PCYOwnsX=i!UrB)9M8Ti$p9U zPn%m?e}m7j@H)nz!q?fUQ_w4e#ZqVH7jcswdQAva*B9_^>Pa1ffCG{JtfsQ}EG>Rp zCARh9K2*Vg8G+~>9uPeWx;+;8)0=!`BY#}TxaNv6v)9&xiYkay?KUevSdJ{BclWae zGTs*m)cEY!8l|Q!6y=j?u``4@{;oM5@40LbhSX=GJ9lW%%0jUFVhhB4wmt9Xm=Fi;wc%uiC z1b|MVcSFSMiPx+5>(5Bi5po%eXQ3hly86miKYq*56MQ-}RNJgrF!o5c>d&7eb940; zwi0!JOpKp-n3|r^x8(ys|FbLx=tL#9DGn%hUHZnx6_H?ol=g>pyo=qqWm`NV?Y-4> zEj_)?ZSiZu%AZ%{_G9w?CaW~}?>VWpbI97q$JX zsG=5Hw5Twh9!X-{V}Y(gIvGzLlyZ&L~hB* zh7ANcIe>~Y+r6GC#=M%>R1kn;ic?~UdBMS!= zs>dW_Ozb`!nYuDfe7Qr z>+7fYYH5#=54M6?5XJA5Neqh&Y1Px<@8Qz-jZI9Vpy|M4F!J-|D-3(huh|GLh{U1! zRSbqOW{t(D2d=JBc0$d9_$?)OclXUviT(RX$CZqxZ$jb*xRe`BW711m3L(F#I5-5^ zcIEP*?NQ^ai{Sl8=Y6Hrf?>%AJMMy zgcpB?hUN=2h3&Tygr+oCu3QOt|Nf%9f60L&0c(o_Tl{=Aqx3K?*2eld<(%W# zu`wx)$d^<(6}?|2_S9bTndfzv3RF#qPmH9-&}DLxd~Op{PIVPkW}*5G4s!VCCp8pg z%#c=7BP&~gUG&!-r}m>&HoA37@$XDia7RDl@3H0Hdy#Oki#SqyDA&(3Z_5^#;{qRm z23hXp?ChWK?+q5i!#w|_zv752#Ul+Sgx&I9fkF{_-{K!!9lx3~+O^pEB9vKQ!6sY8 zRKM%t4A^HH$Vl|Rc2oLPHRfs z&r?)V(x)5ojtvT`@#-meBLS-g2-Uu%AB$n%iT}?Xk1G_I+5L0V;4B0A%v(X^Cu2Ql z6YpL6sAVTu#Vh^o^z_-%($dXVmx?yrhPbT8uixQ|3IjvX5+n|GcKC-6kNO{V?U9~L z>FQEUm+Q(I$#@qPb=1(x>gr{EP2Ty1O;_X2&6*l3`SR4er-N%Bk8N~J*;rYf_I>xR zAsRP+cZQ=m!XAC9lBQzuXokYe8Ss+C0gO6M9Q5M8Lq6QBCws?yr)e;B3fRd>8)qzJ@&frO997^^g{2^Kj7z~xtv{RK@hGO zK`Qx26|owaON1BXynrZXE3Hs96ZCZ!5D`&e`Kf%t?#0MRFbdjJjjYY5R8)k+F4^6H z@>Z>om5FKuDnLUVh?#DYNF-!VbM5a9kuT%-yQ<4Ke_!nF3tLKJ^a@K&^@652VO3Q% zWvy^$eCDNYTVpiPmhD5P6(MvR;g*t`iBOH{4nE(8;^jZ4U*mMbm+7*)dP~;iw*0#R zRBwwP$x~oIp543>D1AvNPI-FT85rg-ZY$L1ry(cEdf(MG5cc(zno;}tvIYEYUC%91 zX0{y?fJl!CUDVXRyrI!|jfeO86!~{;Cb+S!4S3ez=9ZQbJ0UonC0pZtYjw|c5mQ@o z?WjovDYAls{Gax#lSWk|gd|;8*~mNERU=$i`yZg9t9j$%z|?dHWFK4~CzUTj-O0Iald)?b9uXR@FeqA#5b_4pR>}QB;?D=(n-93@$+AofNStt|~rGkEG!p;X5 zT%;Wxy^qX2I15bid68-RvNevISgfk1CcD^jpxUTPr_1<=e_3F-z~`HP zM7D-~drq0Dn%4j8)`}4l7sj1{xDbeQXdrbAnAYXx69{0ZD9LVYJPr$+cvd~Za#g!t zY{N4!aP?n1HRx;90y*2(ImfuZhzC7);)E zU@dl6(HN-BsVIBb)kVh?<*%CkAZ*R1c(hf9ZBL@QR@WB~pL(9T=Z~;ImL2v1Kb;dM!xxiIn7{ZKb{W)$@-f|q4 zQcOe1GD#^azUUbAj$L0L1xHKp*;HXIg<@U=9^l_ARoE3r#>ewn^{BRlp6_kF>>!|Q z{#&!eRn)&J#b5^eXL~j7X3b3qu=_mT0^00IQ!%0?>gf>%^G^-|HUx2p=T(c(-)OPd zQU+ZNQKfZm`i&a)6L%$Ll3D#RQKoi1YkQ#ONsLG z_^b4=Sl%|U2vsBcz^)_dg3htP53m$hC*^H@yVX%DgH~9~hcqEtlUFLdm+*NuD zPQYa_i+JyHprDtit^H-pr?v|8OLi%9COKX>;5=Foo&0H3Mlk5H9W-cm}#vJQKJ={i$ZG=WYc92 zrgw@1U#H6Vln^+pn} zKsA7q)`+|mK@HldJHc!e;ZE;SvVX*QNuSyk2f&M(pH~C3m6w+Xh5;--D_fu8A;oU- zJ|lw?S}hR4XXF^ybt8s{mQQ_iQPF?8L+8 zQ8M@*d1-ie6%~$f>dW_>X_j2+fgc(ui$Ma7&+q$@U>R#=>s>nsgjE&?mg!^<2a4C} zM1J5D6-rJTbQhPYz>0mZ0~>^rm;Z)*tRMrh9sMDcXe0%g20H@~FwoOh$m^R}zWBYD zfEm;DDi{47MjSvMTV`{;2;Z_k=ib#gnxL~C`4>bkwfv$9ulA}%A4#{+!EApnGv zx|(e+FFXfcfRxtOah)lF$thbri_Ti0AsugOK(Ww;EO$Xnfbgt(&!bqVgB>96ho~*u z0?;h%?9j1qBiExSa(9>DaCv37ZF3!PI58C1A!|6rQ;ik(hu7*d1GNyQA;4$zm^U;} zO|bP|iP4C}Fw>qprw1uHF|m`9kJdE68N&z}J+*QymTBszPG&z+`3i@3;mrVKnJHEv zHd}>Wc+i5d4(3aI!|yiX@9Bjy$%!(grA_cZuH^ZbzF(hT0}z_)?G6v4YNt!`5v^uBOSn61x^z#ei$e-z&NU52TyKGbR zsz+!d-*p}0qo?Y{nsHpJ|c9z#2WRR;%8B{m87*KH5hqfY{R_EY=y8-7?CDOsqF zp8qE}+PhogPrm+Fn%+Hzm1~H&vY~;L`_*b&!tsr6`BMCNhuF2q`J64)th2g@k|mf2 za9q;fzGS~5ap9ch*U$}DC;lH3!0z7L?**YweLZCkz~|oOu2&B~{1EatGHLcYdoJdP zp&4_YS&ne0JINOlU6j*hC2x7I@CN$#w~xUtft^KgTUYl9qJ^load2>2ObraYr+}+n zZYDSH&i~Z@TOQlqwR;wV|K9!8B&mqYNrZ_Do)aP(kr$e{`JKW6&4q?KW5R_Ymn7o+ z6A3L$6$+xQfv`L~&5_NO8?iy}=C+loQ#3g3fNlQ;ms%=@%@RJ=IEj)~)nunmD%)X# zm5kVNp^hFsIy*4)mpwOQ|3L|GBLY=Zom|0!(voFzo9jSRw@42kDW65|Ms{O*AQt2F=nqP z+0k)@J^MD48Z|qQRH6KhZr^z?=!w;6It0qr{70?gmEr6FYtPe(aJYu&ApHH`94@3+ zfpO>Gy9FotDJkhH;q5!QKj2-@f-C7YJNgpd5KjU`Ql$WWAUO`SqL54WF<-DE>kC5) z_wQ3mNgeX<5kW-9DABjwN(e55o4~CViV(^!kRSSG)b~S>{-H=PCOuskAR&k}G*{^< zDUs~OL`~2rAX|dlT3UYKw$|rF1Q2M#^pw3*hm>p`tQFBC!o5h=b|)eeE_;-UnYZh$Q*=_y8|Z!o%j}B?V!X zFwi7xYbT+uE=C`8B7w=NDefd62}37$8N-u@Shj(F_V<=wtn_;LrmjuCy=p>XL4SWLp)3mTt!`7 z;oy4|o*_h9$c+~Zex|b0?H|1o7Lw8B<+}nI>hRuGhg5O3o~YzAl9F2Olb&`vM*0a2*Fd&2?&E zL4N*JRMQo08E+AACzN9fniW2(ICKfy`~fA4dSKOGl_nvEg-9HtPH7pVm2nP8CqufV zW~@CDIScFwZJKy)#ScXr>?-1J5z7wN2dCwjBb)q;XaQvbI_MnBjChL*ic-RNnsZlk z69;&Ju&@3QfGxU4gZ~FXc~L1A9(3+wz;Kci2Z2m|o|E^(P%Jlsk3^b12#aNUOpr(l z6!ia{qp>8gAe;QW*!?fb7sjCrUEdMjD7EM5jr_&8ux*LEhvsKX@5vV@r4DI_vyzE3ZRx?xZO)gtf3$TK&Yuy zv%UzAXM6kEQX}M&LY}?{OA-|@Rp((lY%>$n-F;5_&~uNIo>jl`btefoi8eq}g{2*w zI3(5~-n#~X?zrDg&}y9cm;8Vp>pi%#AYhAfwiY(lIlb1~6u8FPd(&N}4=)Ls{ZDWP z*pEm;@W`YE_A+mX#g&5RDZzzvAj5(=Tqww}&@wU-8jjYrzz&)1z7y7mD?eyfS9es< zPl#cwTv$+j#SFWSO;ueWpyOTl6K_*gGF(iUQw5D^EW6TBEJ~2U_;2h-zg_i7Xao`i z0#1$HSV&Jm!|;ygmI0UAP8t+B4mT&40d@$>dkfMSZK5lrl$1wbgq+bUO-I(Ln_ZLR z=nRE4@pYAmjk_HUXb^zgUo?0W(4ag-06hhkg6it$XzA&FRNCfNIvr=SWT3R>bOQm# z_t=BP^yw@U+!5HHji*9F)L}FLxMH$JwVyhHOkKMtE&$37AG?iu&CID^E(y|5Nau#j zLO>LHehr=jG-n%;RlU1k%QYx(J^_~SKM}UVw-wlBvg5S$qU4p`_gELdS3O#z#x(Ls z9Bn28byCY?8lE_UL@MYC1pUA{Ax?uN75X+v0RVlscTWPX$vu_OF_BTfKt8g;nEW5J zoiAem4@AStFp<$0B(6{Tb&<=O<**vA{X*XfY}Ht_Ko0^!y@cK@ca5AVM|?dnsM^4khgg@g9?t$o!hU-vv+ml2E!e0AM2l9zx?kX=E8?u1v z8$hukXuL-?E}vqa?MGh>?!ye6227WuDdQcjcf`I`Bl1_T{xk@T`l^q9xeh=^3H?&e zIF}Y=mBdE|G4%6CFG%2hL7w*y-SPI9<{|s@_aY@>+~A}fmyB8Y_)4a^u!_8lD5%o$ zA%eU-7vv;BOA%SIdKnT*G7$IkC2WzxSRu{!cps3Dt*_tDFFFRt_=sWC+i3-$5QZH} zBGyYZl0YPzBtuR~#(1w-L(44++*F4AX+Vk!W*gK~CKdRocNQ2fTmM&AT+;EUcz*0I zP&?m4BYDu~NPF~mXgDb+CwKf{Gwh&Ya*_oaTQ8=^AY2t_sKHGFOo3E1gkjOqh=v;G zPDLkAzpDRtL;s}W20BokJE=%kb7ij<`aY9E=gPg!y*}h2)qsHSbfyr)rSr7%4NS*D zJ6?LQzk>|i^Q{q-FWSKkJvkI2^d2YbqXj=|SnYoT_W1NPUBfqCTiE50MSR$RoDk_2IT+#HG>euVKg%ikX>t^NYj| z-#%!@J!{*34Ee+Zq(-C%6!XxdQlEAt`=>VSSVyL$qR%lE72KSW!I1Wc*v!~+ot}{E zFkMKTn3EIM<~5JVnHVRanR@Z~eFgbt`!YQ&hJxTR%C>xoXvA)_ycPA_Vy}+ zy-ow9@2J7X67lOsHiU}d_O8em zJ0iluBoJV|<~Y#FlID-TH}Zyc!_ zgO7-d!~GdO*f`j~hJtWr(^C+EJ#dRvNHKNKHBrpH0AelCD z_EKuZFfHVzUI14m=g~9;RU&N!x77sRF+&fy zK8lj~u~iyiEfehLRxiGM{08m|#-VDaD+pHFP7x$JKIJL1RLQ0U^`YE0|jdO)Fd z%NaR5kj62g41!PNMyGdrK93xXRz5D`hnyZ9WRp*W7zR8v(m06x_HEro2|Y6}ejEm- ziTo|pSlRlv^XNI4QvZbDA?{2HQjHBpDgFBR2* zQ0gBuMaw6nTle4*hi^Q*jD!5pDQK%+SHPl#<%FMoop=i1e=mXAU#dJ1rqk8OicYz9 zRd^yFc>^+i(Cd+s{!zQbQ($5XLP;g4J3%PfkKHDB3NY`Qrkp5(Qw}bEk0t>13jn*{ z0A8S`iRf5;7ALq(tW_mg(}|3<^76^_y;=~{0rCS#pX4$x#XjsHY+V3#)IhAVJpC(c zg3QFP6BprkYZZWqanSS2n+HE@H7j^4$6F*ceJM#R?1R+o{8}Ey#Z{ z4gw%H*c{{Xd2S@M*{H(6Os7}=QFqU;p*L3nmCT`x8COHSz6eUrx8?B(K1LyI$U}8P z^bAnOMG5&aAr~7;F|p1C_vX%RG735IvLk=>l4n1F-#d9O-lM*gM#wqS_t&qNmj$52 zLe`y!^eHs@e-5dX!Ho)?MfWEA>j_$`v}r46ZEynhA5KW|s{AHJVD=%Jy#-!nwx@$^ zm)3Q;U4pIHZsdM%8W*g*2}GMZkie)$NOO=wHH2&ZUZR8T4*w0Me^*ef3UyF;5O5Ge zRxq02?Tys54BsKQu19kna9+b_K)?t>o*9U6VSYFxL@>J37wI_n7V-uMofRHZHDcFE ze6cm`+UVCevI`jvc2;38{BZ}R+Pm0TL#P}9nF--E2UhiQ#}pH_!U2cjp;F|8FRv_s zXvqK2=w)PzDk><%2^>XkyI1JZReQ6UAXm=8d8K@T|t^Ta!`+;>4Gya46GbwDl z(T#w`9rE_R7$x;idO+!L>l%^Bk!FP^W%l#B4tqqW}s5`{W-QVx6L zZeWAJBNrFK+j_W8;6nbyL2x$tYCmasF4s?q=?zfd$Sb#`qoqYbSfT{HGG@VP48-Sl z4@!aqEfBdo)R73BBqevQdA;@`>YT5PfgxqAJ9ZukVhe$ z!QU%GE|L)R^$)@O7G0FKFmhEitREx*71o5fU=8E`dq^%`roVnS zY?~zf=lw{?#ekTp=xAm^!5d_jx$pS68Np-U+A~@4Lqk$Rp2O`4Pjq`?(a)-nf%N28 zDLcIR7yn%F=T8PyU0v!OpNkREvtI~g&HDqRH~YZ@<||l7Pr$~UkC$=1GuaSS5RDbW4v?U zzEyk9-tU80x9HiC3FZX^q}i3tZ4FK1oISv#wtD0H}czSHX+*#w8V_-67hn^rV5lQI1vJa3%=$(e;W=Mu1L)75>IS7D& z6w?GXD9Gu03tUr3-(1~XYq8WQWb106%ff4GYnP!`8uBDSCh z`)`mc^PeD98u6nVvuj-bNt6;$p|Ibn^+=Ec z5Em^qr;=JQ2< zhPo^coecQs5MBXe!&Z9eU}5e{5XE9gN3cv~M$subj!42ow!=~lKp5EgyBZAoPFa8P z+b=2vty;_tda(J{vK?NOq09=+cc^fJTmoPu0l!AlBny@LJ z=NW*)HQ6zoNefYS!Jom)r{!YTUcE`Vl^~_svrGN?UNeI^igorB0(+6S=N4H~LX7I^ zfy{yGyC&1HGm^a{ObB{HEc!AhLLf5C799n=dPspDUenZulL7_kS@z)<6;$$N*nkLQ z1%DPkfO((#IwHF(Z%#YK0G9h->s|(t9Hdxmiu~)IC-d%P{vUq91tFneh*E&`a$qt) zIFx_fFY>GY=s{`*p->5-GAW=sd>#E=)UWkWzV!F^K^ELgh+g?zEE?9KnFf(5BvuiN zU)}^Jx2H!7*_BP8y$Py6lNi`g@Q)Lef-2J7dx~tn*mf)iCBFg7KCDiFi{>@->lz>N zbS{LHfYY$kH1HrL|2&R7S*8eL-+TgDCNYrr!0!YG{+~M!1`UB6mva<>*#ok2B-486 zv@nrHzEh_jggYTe%|!U$zYUi?^8Ex{9TM@_xBsk{ofmd8r~%yVuE!M$6Uv%P9%dns zTVdw~-XhgEDEU~xr9Dm56ltPm$6mO}?Z3}FSa*;h6)xX?!hB*xoL6OBOA6s&5p610e)&Bb&KoN|xDe42bU?Lo=99al0#~=OsJy>pX zB$UJz--Jhy`eOT&I1kTPM9>HctspFBcg$e_G6drVh;yNkyYD>9g?xf0;L=h>g%Pcg zli`a%T`B3ky9Y?F7zTbKT|t^wRfK6FF+s3Zge=2Nq? zCNSF^bZwBV*o3i+`v*lX3yF7DE$MxSJnI5!rPyZ`skn%#_1jrL`1MJZOFuQ@IC7Nj zt2_x;NT8p_!}n5>!NfNxsr3&K(P^ikguNMxWg**zCc=7NrB)_uy!vCR8D5H_T zy=`|QF;+f;339d+I2;bfP!77nlt)2K`~73?7*T zX21NW(aOKML|SBj4h925X1at~CDJEkeFuiLP0q|f>3s!EhxoeA;@ZOb0z6s4W znB*e2(IFxtq6iq2dVt$OuM#KVH<+Ncs|Xn>MjRwmK|L(PV=MJC!W>LjaF$VOU) zi*I4{@}wLU$2>>QNeZvQ;BSyqdSS7dx+T2&6`sOw3(z?P>b=g+&CS6m=GDpR>F3bK zF;luF#eK)x(lXexD_crOM+b}D-CkpZ`Eucnv2Gf+^%N8;FdveJOCM`%YfC*krjOf0 z1{Z^xAqkI{_%`O?2~C)&Id!9cByV+2ij{kAEpP5_IqvRm@nJC9+S<|L_Xi(2JJ-SF z!hLwk3IYEvb^A}SQzLZ?&zluL0+zJ8x;kSR+V(03mH_&c-$R2j0+t$Zv6LykaV^|l zVSauM%s9kge#0chrM;aEm{MrX>a@TYEi(NKxw z1PG{PVD2P~Haq|rSn1Jo#2{c7BkXZmUbX6Vw}4weT&>$3uF4hX64cc!arg+wc?t)HW?herX~ zqp)C*BzddH94O+>M>dTWd+)jHmN;A{qZc|gFffn{CE$Peir#0#8=gDs*2@7$6JQc5 z3`YHDZ^KclZ+^#@l$B+@thNXH6^_G3PQtJM%Pv)__52aNhT3(3b0X@xXt;cK93*`8 zFjL&~U>`Z2zbAhr<=PHa$VMhtET3atOu6+)ZlcgcUFIA!&3ayvB%Uo<> zk|^uwrG_`@%q2ojS^i zu7x2XyVjI{PdvtJS*p||cs%;~)`!bWr`W+XNxpYGLJD6Khp8mt3+iYZiU7W_2>n0o u*ai5e?-Ml?8opA+5)i|e|Ia_Vb4(`XvB$B>ig37Bl$?|@Hv6XGlm7)h{7aDl diff --git a/notebooks/figures/05.03-learning-curve.png b/notebooks/figures/05.03-learning-curve.png index b7d65ebfb5bcc06e3b2f7b2f794330734e4043d3..ee0df723266bc57d95287e569da41faecdeda45d 100644 GIT binary patch literal 23869 zcmcG$WmHvP^fr3v?(S|-8l+nq=~7ap8>G9tyFt2JkZuqK0ZC~DB&0ih*ZIBg9shUS z5BJ+;42PV1~KM||N6q)$g2%#1eC7zFGlu^b~-cGv`8k{4mp zXbG`#-e?I4uTzaK!J^H4jChy7?*6Uyi{=!j&`thDt}A8yo);xLVo1M<6$x%5h6yJz zI%0_+CyY7xC0u6!KDHmcWq^Xm`QIT7%6;JPAw_BbzaHQg`|iufplv}J8JS3X#Uv*e zmw`+!bD0kQsS7aUfnUA|*VNRQn3x0}{H!+LpDq&g_?yejpB7qC!5mA%gZSdb3r=qC z;M!V_Q~`xjVW_0N4yvk{;g}TB;?K8ml$4a<3m~%U*2P**w za9)X)R#ryO7I4IT{rWY#eiOW^s%m6H!e|_sfYbgoP0ia54LiJ_-|OCeNzBWObKV|d zsXdu3$Eq{xMimwoPGUDtXlR*PSw*iCC_e}M>zNS)ro&Et zMAFpMi+iG>r_+FW2K`zF6>;30SoPySqhuo~{i)m6x+okP#4st#$hh z&duSswY6o6`tbYu`ihafn3$X#N)UgJ6!W{^!Fd_o)vD3f?2;v%$~J%QH1IgC!y& zQqB`17#|;R@&of5ibnKe|v z85XQ%y*4`%!WVBd_j32X=MCOp9X7iC(a05YM~x%pOSZo_KbMk`f%oyrHU{Dfwqq)x(R1`o#U4BZs^&4_fb<7L1m^Z)ncQTp`!bYmPE7G^qE zp$?Hp_rBZ@q7eSrH#>{Rq?SJvih|eR@>_8-Pq@9$w#{w{7p(QsL>g&quo%FP?+t~J z8#5SDBpCNLnC-2eT0Y*6GIS=HTh&rPi_~xSM*dHU!~V zRPlIBswVxx2#X!A0&8_39%?e5-Ett$YP*jXnQ11(C?l%on1e;u#o!l@2X+j)b6*OA1&6Jyf$;ly7flG zKdW^cy)JfrPx^CTxpG?1(DT~Pqa$IG2ln=g3%TtFma7#IdKQpaz~>if-rn7vL2gGA zsP?`jR9CaDmnspJx;w7-{I0F3@l;b&OB6A8UJdX+AR!p^jq-bYoDrE z`nWTm;uXK`3F#^-qFJwdC;S{i<-ajIGxPod0RaIFy1@UQW!*JT*drdPFM(3j!20R( z&#V_69i0(t+PTQoMSp+42*m&9@2cX%-NVBLkTh0moNjNr35&uWxq@*OU{^6UNn=N80D_Ni^Wn;r+smIybIa9=oo1B6I1R!KM zI5>8L7G$v4`>S>9Q@^ity4z~i8fgFKd${~la@k=z7!G+;Vcby_uPyR-xz)Bpy#&#q z&5p%z)cI`>jid^<(?*}jp8E{#oB=bl}p z!nL5JVU#s|cx!9R#MU-v?=!1*mGAj4OiWA&v#T0KMJH1T5>|Lt7Rlq&6HH zkf%5^GqdwYKlmgazVLK1OG``Ni*EwZ00@#$JlJcSARs`u^$|I^PF^2 zqI-4lGsc%4#N8(BuOw0*vO%=y{CJ#g`Q?-|DmGR|ULN`S?`jN){S$5ft`>}0r@lJp zlGZ%&e*E|m83W^6v(YIgYO!n#VM9yHka571c7^fg$jFGig2H&S7z>NS@8_z&QDB&0 z6-NdJLfDOapdsDK*;#U>&EDccPhY=(X^8{`jW=FKOibl!%Ttm|9pMn46ow?ebLr{n5wg0XNUs1cYK@QEy&C4g-3_o9Cwovx2GR zWm3rL)-c-Vj*hfNvG83}O1)Qu-@ai07~^@m0b|f&m1K#N{8B?x6Gnn1OoWXM4F(3L zcrlNv*06nKwpTab=H+S$H6+rIl7aDAk|)a~TvHdOLD0Zci| z3N(LvoU9Ry@2Z!`(QtF)f~YrA5b#{N;|C)#l`ndBw8WE{lT-ajhJt0J-Q{@(D>AjG z|MEQ{s*x$!)cqGCACDH*=~uLWG+U|xFtH6*BbB(@)HKrX9k>KdbNQUDtk z8_grwTZKFhJRJzx^#Y;!a4eCAnCAmJ$gmL;X>8kf7kh%fx190huV{rAri-LEx3@#U z|Q?5yw-CvML=<#er2A930H~VUn2Feihww;9B_OG>enmJh(JWUb=C>p6c|2E|%;rPmFl-Bzq3s7C@APIp z!2Ec*wE}?hq`yh5-q%M_t6w}yKuD|5Z)OCeDdt}7HtP0X?DFD)CiBmoodW{{Ql$~U z4-TTUcr4AH?yo#={!)NAfF&v_`s=eZocqCCKgi#Tc0AJGB6DR1m@Pt;*|e3wfff(% zI$Xk__!yei$Vf=e;^X5V!Lhe&x^-jM9qxyOAZi<~4Go3X>(r9=dY+m2KU^PsH9dex ze1}6Px6>#)CbZJy_hrVL=F9P~4p+s!H)-P;!Z|K~W=ehk2DE_~>058q?Fn|q+VXPt zzv~spJ3ia_Q^>7=NHED~Y@9zY!A@)U#d(%l;gE zU?(mv?vCGn`ILr+CampU5{SFt9N>+LU-{|jBQM`|rh2%#Zew6z+$pB9o^cqoY-GH6 zH(_aE@!Mw&MENr?x4VZ6^;5bvdPxfl3wspg2 z-)=zE0e{-_GJ5t9^0}^=aqeio^UU7^$ov+Br*i<@w&G%AZ&3+YPocj9T*vl6wsUhL zd7HEQY}E1Z9Rof6sdPB{CI<(H7Z{a4*sG7=lOPQj6cpI?0;JRfFiKZP$15y}^jB3A z4*7d`U=5sNknyLk?!{9Gvp$KNq`ni(*Tr!(;cUt6@q3_UXGaI?&@5-bgmVraji$=v zY-_mbOo>Hsk3I>6bM%t5x^uM7~?sI80>4&X( z_k|D=hnEWyev}@`=-3!C8NXd0h$~4cDR2S;0!NFDa3FmUt?+`vQ%(_*{e;$HTmbUG z4Do{W&if5i#;F|g@7DzW`CyU?t*v2&*i7n;U<4dtmzK;7!Bi5XyB9XYrl-K=3c@@-^5AiU zZ#^yRrqc(np&>u!e}{mKVk$KPj_VBmj+WWC(%yHrtvm+3m@cybEF(4Y(v&!yZapjs ziJ9RLI4pMSjf0^==_g3J8XVCJNP!<>iw#0%PK-SPbg-yO9R!>~mu?$dvgae&yf9+_ z-rB`LYkYO$iS9s@_m;DZi@pC~Z~p!e%107Zef#CV`aj!60P&i|lhX4k+o;`+M*Zs~ z{z}yh9UWX`G;DIpa9b!ivmzp11FYv&G_KfuJ<|8wA8`>N-Sl;N^%VrnSk5Nn;}uo8?ig7GtB3JD{Aut3nN#}o-L z^4{C=qNWWd_UkD#I94TsIZjqe@q=@o)OJ7P_(J|Pp>Cog|H$nAa>^cEENEL?*}bagE>l`d4L zE42C9bVi*JNu5-sk0D|)QEMQv-a~K1#nm?wr*+irKyi9XV`7Ky zc8u!j`3Ct)6Wmq4iGdqSPT~T&oDc8kt+A8|K7PE!_V8eOxiim!TA9XwvOarPZ-iiH z7l?=v=zX={ttaBAxY-Q@x8F>?v9#2;`UU^vyEb%U{@D57JJYs0gi-UEToQW3*u?TQ zn&RSpKa##Dr6ZCHN(}7%ebHOi6CGfxVQqBMVxfdPR1mVM&t3pE%DJsb67YV)v z<8k}Tjzy)Ki+p*2;OX@vlSpFgvlY&pFKuu8o}bAUd#UuA!$;7+efxtHS~Y!e@RL4W zxr-QG&XlDcmeJ&c9PNA^g%^>4!}OruJFx8bre@9TRit$4Dc_Vv-wy*Ma_*naUpf_> z`03O1;>Kd5#P5j~)zf5LydY7ZK=J27=OI>YD|QZ!xHgoB;Smiv^Nbhghwr)-Es)B} z==1yg@m1e-;1Y|y^=F@gTkZVq*q(?p?rh=sHmTnv63K_$S4J&iz;}BDCWT2;P)Yl? zn%CtL1P^3%;^Km2I&rca$81CoS9N) zZHbf$j3b*Ro}VqJ$F8e8_d{sBJr=;dEbvcu^m!&1bdT=h!oxEl!jrDYAf2}T$iLd& zW*X-eVYM}w2P@R7BqwTDxk(X~A zLp%s<7$9&$G}b$=x^>VnDH z)jSb;Tif4H9PIlKl!6iuT2(Tp-;MogXlf18u6>@eM;5BIHLr`gd49WF!lIyD!bxzE zU5w+MBO<`~T}4YJ)5*O-o?XiyNT(3isA!c%!&M5zHJ`69XK}u~3i>l^&3>{eoxP_* zJj=HKjA}%7u}F-59E_re!^KsUdNL(eG5~U~!t`42!sHbX&!5f5QyRZIy(F1|@hJE< zv*E`C0?K)a7i%!lTr(2~>_AADne4{DXRJ)V7)7k3P+|bX?xRAqK9bWMTNf zt8`fN-&L2wPn}SsbSi1Z`B|dATfdjN9v*sw`Y)EmrGD~9l2m88>i97xTFIOGJc^BD z71-kwwe84i+r*xSM4EH+lV3%L zXi^Ms_xj<4BB=dMP2C(MD>O7&BtO|`cgACX_x+duw^~aPHa#8DZc!pDLANfkeE1@j zex@ADZ%U28V01)7_c@n*xm_XUag?l7!yr^yez%s3cxw>820u~0;*0FJ?DMl~Fq?C{ ztDB;)veH-D|F{lE)6?_WBxabKrwHV{6vqnP-nl+JoV|ey{83_!vp)@UdRD~6AM`at z0X=jFBT$A(B$pdgMa6m*EFgI)$;*eEmV}%fUtf$u=ei2!J7UB4^re41PE@zj@>KZw zt)*ym{GPhj3TVOnxZ$F_W8zOg%Hu`J6c#uUO_oRf9*jQ}he8%o^eQv3k{aaSdgI>k zxHt@S0wgEYpdy;mTmc)IwV}a?)LR?^hVS_7j_b*pYu#+^^#*+B!J)&G?Ekj4MO$3k zBdRnIGC3u^3VQ#Q*|Nn;0=TeHr>;}-rucL{fH$5ASx*tw%iHf^#ava;ymfBZOiPhY=Hj?vuS-skt!Qc6}^~SRa2*YQe zACJ_ON}j5<>C_r^IK18&YT&m1yuZ>##YrHM4rrH-kk8CuPg?Q#gKO{VQp_8G7V}6( zf_4)fMH!;*k{Rf?11LtT^&Zih+FCB}ODn+Ojkhf=FVk{xV0`g7d668*VrE85WvQT6 z?wtQRVc(Qv@*4x8f}@nMfh`RBu1CFII}T#WJ}1n> zSTci>iKAlzpwwtYMJalEdK6byS67`k`hqk%(i=4PRTU>GmRnKDg8Y%lib8%`!kt}#~RmyN~c=R zNW+Ahj~H5 zRhtu-$bSC#ia-a8RHpeYngYvufEo%rlj;}(J9jcSbH>YZ&h6Q9E!OEuJo|w2Q23NR zg+9ZU!iUjaO><7vaFoT@Gqbbmje)dPsj2v_E7YNX?d&QLH02OQf6>xet9uAnZzbld zV(t9GNMzHZrfF^}hPAe}_5R0_z#*O4k`6v^c8GP5`2Qqt=phLR7g=Yzq|n0so!^){p-^ zUSI(_yj(J7KWKMX4o!mOV{oRdY?Sy%9c&hs7Gw-R1ayqwW@XHFIywkU@yOe9!OXI9 z8WehQq?dhD-^=(lGhU{=hTl6gb1=dj=qI=LhxI=$w|(h;jTW3h#V(-fgcaZmFGmNKGKjv<5h#zi_?od( zG(0q|k&d83&6C27p)G69!9M1r{+3m@OqYk}w-B4I?m^`FisM|No^e5RUBI)xm_sS6 zzLar6Tf3dYQb@+jSuCJIR(?g6pcQtebvh!R?iG)U3V~a)doQzXJ3mkVRxKY=YdGsn z{@TdpJ$)LCR)qvD5t-6jej+t(OWks7jDIfkbMwJml+aDRfoxX1low1${}>uxL&9Vh z4-(KLWdTe622iw44u19*8(`(@t7Z>cm%)AhbSJ`-apiY$Mm)TcEx zhufO0x_n;8RNXBCrdGDrO!hoE9HZohN-VLE`QtM)vgt49Ip&`$hONb1bserOOT~%= zxGAQC@_nq@#i}%i3n@rej%qjSD>)+wVe@Z69a9~HhC)6yyZ-kZ*?Ai-9t%&aI^Df+ zo0a5(*FU2!4Kze)Llf9*98jm{iuw@tKAxk&!or%^*~J3=u?P?ynS8c{K&YW%8LTwJ zMPVSoMw>zZT z{Cj+5f%(BQWe+hCY5y2wGE18BUA2x@s^2E;w*p2j!(Tlr3k0YIVGX+%dpqAS$mL-_ z9+O6G#t`A>^YWMJB8DW1EBE0~FD#6LY2|X=Rc=&a;UZ_6LbhAWoi8o@0e61qirY%` zvW4zQkGQFMJcot($M9I>fTvVU_2U|vxzWI4`kS4+97<7n@|%(WtnI3jkhwH83Qz){K)_J|Z5Vs_*6O z%v)DB{$VJao-QO^%`5LsNBIBa1t<;=cj4j@C_fXx!}BH(%gLUxU1^&TrA7#Keo>jq zc-PWYd?ghye(=*eI-5dxA8CZhc$%-K_P6PqB2hw6PhyN-bl$Ch0vt3l3JS~RGZ69y zr~)2?`uZf&RzRkThw_ByJL9DmW?3?ir9N%5;d z9fb19C)a>G9b8z@-9u2OO^Tol^AFWvaYv4dNlB0%9@V6U4H;Q&fgszNDXFe$aEdm#U&n#Ev`FP7U z5>JtHat&B0^YtD-h9)(`B>5da!|3<#$Izk)!c9c*fI16=$^%02C?WN1%Yv_UWLem`>8-96t3EQ6WIyUy4 zQSelxv<1z+92f8R$$FRRwouiE*PY+pT$eedbRpnYLP-HI`^tz`82^zUHy~-uLsT_Mnb675VFJ$=%&^{d9z;W)}P`!^Py3 zuk8zryE2&?l_Ky}FX)p8q5%2dt?T>k#Ls!2%TeOlrHhjMXI?9EM04K_bn zf#8S;ggD$K#bY^RW3is}oJ+SmyP1LHRGE6m_4K^5k=SCov{#k;xJ%5hz z&fqo_zKG}(?OL{P$I+rP?ilG|w@H9Db~{<4AbRl@RKsZ&tAc>*O-xMwXIEfK76CtQEGO+OQ4eT8;0k#5_4M{0C@genMsKA_8e5U?_`I|F{X*-O4LPUyGm4URED;y+axC`nbSah3 zB%FCFTIdi`(fZcIP1QP@C;>_A`NY}w^2O16O5&2Yh2^j93-HT%)Wft`i8^mi{`lEc zi5$MX@p*S_FkoT@2lo4C?<-dSrz>5k(iasKHFliqLLMX&;&pwcAOlTy#WrMtHk}xysYCGf5z7IA89otIOB{Y01ge zRocXa`Y3FE6Fr=CdLd(Bf`A~O2}@OdTB}?4F*i*%zqoi&H#8Zi5 z=I@0 z%30h9KsCyI!jC^_GXsCq0#n06y)o4O^QmLTLoj|2sLHZU zz$j&fAfhH!s3(z;l+-@<;^ulF8kemmr62x?&f40VnAZyXd+sYbrA2IS8q|}lKrUjT zShE~F)9eGa?kTlTnPXP)j3!k2jb;eoun^$V8CYGV05bRpu)&zx+M)q3(5KQ;Q=pNV z<&2wfiplDvcQwAZsXDlc{>DgvppX$$=7tT<@XBo;yXXFZ4eDM1OBxbr^Ruc5)KtK- zG-_Gk7Y<~c{;yw^-Yb#Bx`b*~{W>sq9#_kqF#Ymx_}^oQc>?9;ej<(23q?z7jtBrq z!Qu`FN*GKck*4K`53rESt1B+MMNYe=rZ5!Z5Ooa~m!0NF)RekPgSB2JNwdw*u=?1< zk*ygo;UGdMYjLiWl)vSMKzTGYFaWzm#pA@z&Q6^qk4;9#wqgW$@-E*y4fYG-*d{DM zsnaVv<|Wex)PHWUu2+h?3ko{z@g>pz_6_IXCLFh`%S2iv7r0Nr4?!vF4Ie1d0Al+# z(9wtm9LPQMM}g?Nv9Uqjl!hK2`Thf}@({T;`EMYF zq%VSni1F$by&?)q-{C?FJ>yJg3okfDDt;6^C+8a@R;@yNK3mrMg@ugXT_fOysb47m zcxfTm2OMlK+ECELKPKhBAYztnR8;+NrEEr*1d)?F|I^D8s`8J6@T5DC^41t|DYIH)oXk9qPhn0z5|Sr#vC*Rqx+JUK%l@ z>9{m4>O@5(;V@8U=6ucg1G9lrF(qDHfIw}yJOkffFfTD%RsN4tQ>?C}wx*Ncb)wuA7 zOFT9ipJFnzUe+>w$8fzY$`c(5pqEvGDX;@iNfuJ595&{Qgau^URfiKK< z5}1Clj#j@A<>%)E)7s3UJBdMH9g0pED!oSV8+Y#FA+c!J#pl+X9tQIWrL0 znBM#4jxsSZA+4>gkrFh30g%6rCzniNRDo6&b5+`CWo2bv*N4+ZAtQEXk?>QRtJ*T~ z*dz+YrS`7MB*c*U`Ig1Sv31?5p)Tg|@6=U+UOqnNK&>SPb}jJzXbjhZO$In7WlGxI z4(C;_*JfvV)Lc#T_kdx`MNc%|AvqmU=Ji)uCBx`Y6=jH_p+!1eBH2*_P~NjsO-g8sW|IhSwz~Nm8b7SeKT^ z*e7w1jL_>0m|4Eo516br;}nYmA9h?5>GFFZTmOIJP<02jo-yY6az?HDEVFfv!CQVVj-bfTMA{n>2K!}zAXD+%?Q&Ji%lnim& zog~p82zRm#y_B7QC z^2}(nkHON89cPARnDvl4Ep+qqmj^nFUToUf$PSn^9LGeXzBS0jaA9T%*+g zZ}D?xpNTsXjX0X)4jKv#!aYp28>&_#W&Lo+gTD_16%0l6bP?C}?J za}pyw*g&nPsv1~A=iUg^Yx3P70$gyr?bdrJ4(Ds}X3-(365O`)?2y2UbjX+&po#*8~4&=P=V4*$%nEFhC zjbg)#670vIkdP2Ld)D?Yf0bhQJgwtO?qGl4%J<*Xjag3Rm&o7tB&5kE9UU;OHjNF`Aw{y0 zYjHpkrv$a46aaXF@zTJm0Zm_v%gZ)%@j#F_2YgVIa=!I!8I(8#o~7y8*}VQpr~v! zZGd|Kh}hGoqM*P4W{g&2aUmg6;HD!M^A)6}rQP`RCklWzQ($dxO4o?RP0U8k700q$ zgyf3Vik)%uBO0_oMiP*Eo(T7swS5LdYqUv1)UCiRE|QKg1HK_(l9zCExUPw$!k8bBjc1JqW* z(zDmVvnc3wP7f{na>e{eaie4yThI~KdJtY1!8@#KBsh@}PiN{}?9TmsXV_g6oTwP2 zT^-103-R#i1AI@Ns%qcAC#u4tNO)KBpy*(J6um6wKrTK$Suokd{B&3X z4!`<<_sZ$&KpVoG^tvJiFm3}^C%p$aFANPyS8V1YM>^cXa&x<8t3tzIdjDav8)GVG z%h*@1b;I3X!ib0lea~ZI2~)50y1!(}XU4w=^$DGzpx~6hf`YpNb?fs$`FG zd<33dSeOjl;E;j>D%Aq9xT7OGJp%(XPz4hM$7nXceHD)IgowVr)}Z?ttqQe%HjsQG zPn)N9u$YZg3t--!h)-1Iisl?Fe$trFY0Tv@ z>4ONqdKI+i1(qTvfGQKSr=XPtq`vLuDY4nR=UNc8L2NMrf}Le|S{lLD_V!QzC%}6R zOif_{_#^))DEk`tr~X@rq`Z;tf3Oo3tyxn7o>`u>ZdtVhb!wSe2Kx%#rrymbDzfl2 zYqL>{Q3`%U$Mz@xS%>j>$HZv@sXbYz`s^GsP!4h0f?xIFC)BC4{`HxQRKNip0)htA zs{5l*5-zD07fT(X1_%_NJhqfkTcjK`#$kCxH4fABR^h~ zalS{c%}@+--3v7KFLGa6s_~$MgERoof1?UEh5A1xs7VU&PBKs@zuO;J2r??_0Pw&9 zePbPTkQn>lF+jr`C_`<1@6)-b4i~h(65yx<7mgrmN~^t+X4*cjNd4QXQu)E~zJaj5 zgP*DIn2)BMFYf~Wl`!z)fA-6fiVF(ro3Ew6Uj4#z#ySduF~I8o6$?xck1TQtl(nkO zGP0Mv_dxJ70Rd%fauR;(0@`2!^cCP))GWTR(PXvCqUA}k>8LZ}=$@1k6-5newMWx4 z%=rH5D{Zv7ma}u}CsTWjx$4)Nt&q7s&q?BQi3F-C;W9pt7pDuxZoaKHeGfN%Go^DD zq3U%>^7LQ@gSs4)45@xE_Hn*DlUKuO3V@&_0Wutj7~S4iCJqipTdp>>?ZNF{#w})eZ#i8({4i{IdsGvC_XMk8@KBnE8@~SlOpX@KC#N%ij zmTGMLWHZ3UO&yGlb@>Jgdk6&79a{H~ETKzY=v2AJ_h#E>hK3L{!<_OmWW_7sdT65E^|^h#-&mYy@=m1_-{-uM$(?J$>L_ zCuq!X>KenStM^r?gB0W<+ivrV*dPIVm2cw|V5b2`D+0vx`SBHKm4Pfl=m>2wB)!pDjU}1Od80cVv!@-QyWS1w>kF(v@)b4?^66z0dmU)w$VDyCaJ^Cwpug2??0;Zyq=^%~Way2Hb%zkEg`{kB?V3L1du-+Sx0Q4O?PzcIY4*@Xs zb$mRj)e;pIRSJY87zhATq?K@N8K25D1Z}4%Q61CpnV4++cs)5)s4EYVO^?&qg0lI> zzX*9Hi&PKEoOeDy=Uj8~rux{l+Ri@VbVjVK%=#I&$hYGe5|=9e#VG)$deA08^-}4} zq^uG)A5*(z2qH8(19~t9lu({tUN8`&E>9TS>w-=-s?%r#X{5xm^mqh(f;K)eF*6BH1jJVj+?iOm7gqeH7qiv`u^`luh6piMzz9$@zY!$C^g z-Ls60Mt8@v}*>3XOUbb z&Hb!V4wt(FY>tJwQDtQ%2nnFT9|E58i=(g3Nwl0VJWnxZzf zXjh+ZUj_ZVvRX8>_t$HI0l2TFG$g=TqnBd?F!8UpjVpu&N zt~=Lh!~_%+=IR@)HLF&dn&~!iom}Z)4BKK+)502;civZ(`5>0RDri4F#0$ zCRACVf(P;%C-7C^xdZ(G_FXn$RyD~Dm zB`~Ve!w5SE8_2A7%5H-@22RJT3Jk5hQXLdWIm79%krqWWRDPB!T;|Ktjccc%s zFyP;F*xC(PlQzwRYAZg|Kv!{$TNqGq8~egKX{uY9qsT zSjV+DG#>}U>1CpaC!*^a8C}j4Rm*%p)gFhnykz|>49t!qR&V=S)-G`HDpO}ZDF7CZJkoc66f(Keq z5>K6#$IrK=p8*7fKtLNRXj!9YWCRRqi~R~A=<5s3GK)*>1T7wmy}h?Q3`+EKyw?{~ z?kk5HJFCKqJ%TRqPR>O&15@JV_B1rS-3oGuP8W=;RI&*wo>LdRYT3wnro`xt(`EFS z>R%eY|2MU?*kB5GNr1Qn94xg>9MM9r0-i;bRaCe<{=NlGLv$=GC;&Y}yK_OAX!7Ah zcw!=Um;VzfDBwqc1qsSrT#tbdX zM-U-Lg{YP?dg%Zhy$Y!z$?h1WhBLn-SqJC{;jvr;MCjF-Qwg z>SN~rW_Ki%aXyex3OZ3wPELaQrQYQMwAm(s?p4ql34s81JEEb16Ldl2kB>+VUi5Xi z&MkF)=CzV|N9X1~;XMo=tCYbkSz@DI=Fyf@&{b8_N*OE8;(HvUN= z1=^tqxqQux3c&Cn2Xkk`i79YEI+^trZ6vS-K7%1X7+`=zggfnHIkl!42a zoHCxHg?^<#KljRfl9-j5pQogF3kEKbD&P}WZxCEi?{o3o?cst#*C&na-S<24**HtH zc!HjZQA8!mcmxD#mcO0`Bd|Q5?)f03*MQ*wO^*l=JwwC6x1-ImvKTa~*}N$0{tp~4 zjC;@_&|a30KxF{jiz%oiNL$19yh0-)_P&UUh`gH`8SLIBYfk`v-jd6j{2@=8&`jow?6hW9i%Yq-1qrj5yb29^kF7M;n z2&pJL4TW&R)17fVP`ZCj2dN#}5(gSo8ygz|;*kP!5NI1c1FZ)Gb8{_YYZ+}cRY?Dz zOy5EU2hd`M0WO-Z(q==a5Yn;+xacVyTAPDWH@O4muT=b4$yemtj^VGfx=#1;hw0Wk zA+8l#2!uQs`dolcn*~PGrbcz6fWPEn|1c?vJ0|FH4_M7?m5N*4*??&(4TD@<^};QV zRMtrEBfpnj@8f{T%WxfT;BWAKzS{%4C1mElO1s(&fNsD|F@TI01zNSD-xuAp;MINt zJzqGaq^Olz(V!+ti(WCD6LbK*?qD@UEH3ITE-e-9j>^@6j+)4rn2@|Y3g}G%P4Ga} zC;>2JAAqqx-&*k~RI4!^YajR)1LPV`2OV)$7+-T{!H)7M-I@ATkP^MUu$><3Y2lF z=&-Q3AOajs%~{$6{WN~iF7(-T4-*s(A)sqy8*Cy7b2qfz<@WEFllSjrV&meJJPbm7 zZmcG&1^o!WO$NT~{d7iY&m^4F#Y#qY@L0!ebaSFvQLo9=sXOpoR+h>t?)&*|SG8_A z=2^P~Oac{LtBv|ioPP5d@NBt30JtI~Oh35>xWTGTM;jg_4KSB%m%uyMW79(a654p! z-Y(D;HfQ4wh-vMT&*RkE)ycX=Y&=irB3{}jYwBBJK`>A=S?~Nt|C|aPbEL@6B58$5 zRxN6n!=Ew9BB7H*SXBGknX=3CgaGiV_W~6<8!EyZw%JL7o@*{pNoDDsi6j8>(**Ph z0%RCCrc*@}ho&c0x7!RFW)tPk$!Z@n`4H4*L8UX0<@F*kZ^iDIDQnYi2Xlfkh`7vepj1`kYIQgb1 zW)sGg_8Z-6W*GA&?v4l+1O#R1qawiMrMTnIXv?TTx!zsEc?70xe5sYqoywGxST>x&89({vWStI>*a?Bd z!^1RueA=}Ogvp%f;^7;Ld@OY0+&tEgjI34rquE*N#Zs*{rH&b8IH5||^`GePat)sD ze{lN=HTVfn*OE<_qD6r=6$Z~(ve)?;30MvOqG2RR7{y_rULXU^Ak@HTT`Di?X{|on-*>Q8v>ze&h1ATSVy1Ljs#Y=#vA?vUNJa8IG2< zMb4^>@D#hwWVK*; zxVZX(?3$FB83{1MCg=^91|75@aHDGuTd%ZcVNnIHehJ!&-RtO3uco)}CdzoBZqQ}+ zN(P{j4M^0qaR7|?lgt1^+RSab8B)4JidC26H`0woE*qSyVWOQ5_hZH55;qHxL_q&4 zrL#+VdJ00B$D!fjP2d}V@;=a~4FE(3x~j3E0@8|ds|KTxb4ADiy393r(1ASQSug{h z?<_a5Zcl@Di=q==&bUJoJ$`)g=;uMqaNpXpIv@L*5hU!vjE|ZK(XN(T-4t+uCuA=~ zA8fP#bCJ#gSiF{#pVhpGIz_NoQAbO7pmAgMxM9i!Kbe%zrVvEx#Wwq#iDSSx4S*v0 z6yQqQybQ2BgKlp~w2JPes~dwN4|*-oyvnc09^U3l6G;f_MQNP`QMW>R@$Mt9F$;k5)u$VkB3zc z=tYtyDV8dJ1$-VboWR1tUD%~4mWHVnsi~AUm^u$t`*_&+d{WtBNSj!9C6Ch8Bj&Wk z1RY9JZ5AmUK&y;ye<}q{fUi)3|Ie(o$&RJ)z zXFb-o4Ex#7bKm!Mf4|@B)4nQ{++@?X(;yx5y#wpC-X;6vhf!{FLc+D~gXOo9EVof) z(Z?^+45ht)YK@4*qbcGS92o^{o~?g5GlIXXp%t&EJ1D~IASQVO|Kzyb>zA(UXw7K@ z?74XGF~ETVY|Z5@v4|SpCD#AJn{bMEurtY%#*DSLqJUV!BPLdE`YsE}7b5?5csPek zARcWlDCKib$k;#NbI3?d^!Kq-ivF+4@3e$TW<+35ji<;VsiD)jd=76PVKr) z9jy~bsl)`y0HBjErc&n^@G{R~rm% zD0lpaHMNl26xysAxVSPL0v+F4OIP=7eUX(ou5&`VE~mYK=0YWDZeqHE*=G(6~-+`5Pp5wknweCAYU`?goZ_9!@owAs%6Q zRZ%+8D8zvo5-}U95{j6bd}{de&(jlq7eP=d1TPvD20~(L7A9M0-Bttdb!`$K3vH^| zKoqh~d;JjgRps~YE_v@ZA+Z8P3Fv00Iel8(d&vlRDC*k(P{kT)>DZl9xHy6d_6(ROr<%Xpcuyy?;47gnFC1 zx91eb@OP@HmlvHVH?6rxZ4-5?e7;Epge zW50KPcSSSNBvW4V9sd>9XSRkD=9&>!oqx7|-h@Zt6tr0ze90pY1Xu9PQ3I9@m&9Cg zLt5|J;VT}$wA@cf+%0(Ha%CkO_>*`a?*;n&X3~D4yW_I|?m$vVs{{i%FW{`m`Cdp% zu=80orH^PJ{waXXv@Oivgv22qv>*=-4pyFzfguRxGBH4p+93U?f7>z1@&?=?RoIb% zzXbUUBKQc5iV_Uim0j|f)SY3yZGj`r!xO%L^8Vhs?4oLwdP)upj%3nawqIKr?@IF3k?OE6p7p6j$uKn=9{i zZGiV1QnD>(7nWfw#4>%2QDg#lM;bMY-`2AuOw-kJohv$x#D0O`P6 zke6o-;DCG)D`!Zb0M{lbf<;Nkv8&RT`2ObMEM4NBiUw4+PMC8&`ux_Igo3>(FFFsWzM2hNO~T!$aFjvEq;zAOn@5CAbQr`!Em#*51Uh7<)r%6uj~GGe4+rfng``-2p!DyaJ{^{Jg2!t@8O_f zm~Qcb4BA4vf=@kIX$faOn<1N=AXVi(AwjN6O}NyvV&>-NmrTo*>T2F3307Yx=_Q5z z{NCD`)!O#xAY#%lF}|A(&gO$<`J1J2^nMTRoG<#BLL+esON6O54I({*>+AZ@In>eN zp#iDwpfa?7OA84J5w<=A-h)fmubG)(Vp4MJi3Y#6rS^|xC2_z7nTER7)7$&jnZvP6R<#HTd{72G#ulKs7D4UX(cU`?<_ zkWr_#*aKQOMlt=4X7HP$0s{jpr3UkF`1*cpD|R-XT7KJ=>8qK~JkKE!DvPIP3zyf+ z>di=`HXV2)*>mCd!|u*koA~x4FXe>!E`ei)QI?juI{)U*`0K1(z

  • |<8Jq{$>VhNe6^d=SOc^Guhv(M= zbmF;1^(li5X7V}|E`RL{cN4H*mFG|{(2aq@=tnPK$0;=?LC_`_v9Ehu-7bBk_ zy!cm2jVD6d(2}1cwF$Kb{<`*r zYgb2go?nqCliF*Ebk0^guI2d*g70o&bVA-ZZ2>beP&!6X9)L2k(eYq(A&|?j)h`bg zZv;ZlrC=U~U7puznO9ek;dM?=lu4NM0F>&%IfM8it=Uzc3YQ$)`c`q?m)5#{gIlk( zi?zkvn|4}xl$Q3jD?enTZb;$loAT`mfufaF&Vd8ACDsqFE3MVqybcm z!WHHhYIcV*0j@uQ938m&>qxg^S3c~C7VhW_ViDJV9Eci}GI(AxfA>&L?eRxj>ouSt zN1lgYRBcEQ&ekicIjvzSbe&x7#jqm$?@+7D(K-*w%_PZBQ=7(Xz>mdFP^bQIWa8`N zu{)xRTji99i9_v|HgFrQGO7y)OHvzjSWelwIoYc-5p6L?_`2y6$#FvOY0&un#}|ji zKBL^VcvWWC*@Gk@B644fv}=LR%iJH~zeyRF5U=R4ZV70|)$E0^KfeYt#uEm6@|NeF z`W^dZnMUo86)YKb&uIVzFcj-q#o2sK;wtE1VSo8*GiDWsf&5^;qc6wxATVDCl1pfmT>^4y`GJ6L3THwCFLnz z_~y$}6CKD^B^AIz4&}nkDG>2LHUS-C^Wu!bWx;;JC6IU`CSouz$>m7uE@!o1&n@#} z?hsn95vhY@$oTY>BE^pINw=CN4Zz$`QUM>j?sgZC+$4(y9X-x=*1C~Tnj%~}|w;pkL;OuT0! zsic>ZQ4dN>^?p7r&i$*GqA3*W@E%vY0NXr zB@S&6yu!D8?grPh&7z!B@Mg}u$IY|OgGU;OGR?xcT z&dKLl{kL!O)!+{n#`G#^f#<}la;Jy&eB!mCyOO~*qmuo2hdgz>W->BG9TjdS;usc% z%#;{j5B1lrIo}eag9#aw84J=}Jls_);A;6MYiw^lIE!_`A$Oau$;|jDLZLUo;zvRc zUY5^(H$v`8mFTxOt;@I8JDSgh8B~T$?)q^$lnnux8jQ{ML|=m?W2B)bZx$sk_B?5@ zfu2C3f-;r){M)@b+1xpMh7;@HkbP@wqRy<^PlwiokglpJ7nbtc@98U>Qm#%h)16*d z*63OvpEu;a^byRnKN<{;sWg!6-y95{=9$!<3H~~S9_n(~SpNxGd$w%%#K?+6#gfd90F)f)v17#!8G^_kQw+RmFaQd+Kj#sA#9qbfqjYhqx&!G2z zd4c0$n*oi0v%aP~RJGW92Xx+lcslZ8vo+pgq$Bn1`J(sRAwj10cQY&W+V#$d%CiDF z&i(5^o<+z#(16?gtpvB(cjXRP`}%QoJqd;m^~Z4`ofYw@(j_6GNn5{FA%gJ7_oJ># zKzfBxnDme!t}6`6A8mCF1Egius0)(a?&aSbY9=P5^z=7u4dB={!H<}oYx+7Ak@Y*E zE0?55G$+{uH0B5&-hZcMIK-Kz_9{|$Ohe1_zUR5PR@s{@%#&zxEtMHC$DD1$q`7yE zIM>$V z>Q2p!rlzlxN{50hmK37FEBH`OkJsyyKDVdi@WfEUArwCQbhC8bK0DRCc+F$8hw;yw zC%5j?(Pz5{woC>)wFuNM&T`L?cF&({eF!DD@dUhs$MtV(&8x;$AK*RulXs~oXVL5) zuG{v0w}GV*cK5g9Guev=+f5Htu;mE%b1C~%ln!(3jc4J#P?yqo#~FtvC{CD4_Y86>DWpg`}*96C4(?gbp)en2>} z>0d85?ZuNzwz+5=1{~AcXr%M;)Dcc#V_1ehDU|mDHP#c+#9NA47dw z$ygu3bV=pU>vj z&2RIw+46qDtz{QX-&u*qNv{@yE$4xFF=Yy1nR4XIMY~V4WzAS5tx$a-rmTCxp&zKw zV4hFyjV0}F*Sn9RI6n|(WaSg%%k>P=-RElhI4lnLTQqVjXVgEen4)R9J=G{mR*nh< z+;(FyVT%-0WYz)iH1KR#xd~fadm-91&dQ%{)X?dAGlE%h} zB&w`{6fhNVO&~fDN(d$dQ$x?4pF@4bpVc3U$3TSTrNAqiJ>;%i2Fu+{vE&||pLrm4 z>kwq_J`yg5x}E`<2$1&v^&y%v9iGbZ+swO_k^(mUmGZ}~8ATwsV=3Ua(9!MMt%X!Z zy6vMVuwNipQ)LM!{N z#?o?A`hq5OuM3aO!M&_;mMbERu}rdN=Jo(W|FM3~cNApO%m+=49VU1*mB;8ZT6)(1 zIBc}#p!RO(R}=|Q%IVp7PO)*m1`bB7)JvC zXhSH~q-JidJST!_0AylXWbDs)4ry3734ZTKpWqkc&F_5d!BBo9fJqE9_cFbKsuhGZ^m$n708 z5@qMQp%@Yr8_u&Uro9(SX`u0oF7i6^)V?C=irh9!1~xCU>dq7Zk&F&wk5y2G_$=L zxQ5!=S^0lS%FAR{p|0c-(0NJRG`5+?3yQ&|5a7hU*oJFLehA!r<)zSyWhC3B=3Oj#M<>Zxgtn&-AB)ZjWV)*(vSd)@ZD-KALTB@|bQbr#&x{ z$zFQ%Dt5cBLj_iwNn$!eO4gkjMX`5cL9%K^DvZTQN z3BR9>4J#kr6;)DjB--T~m&t~(6n;fDI1uGn{4A3Ih0}7qZh?29zo=CSid`;%4q+Ed z%1plbhFIf$zaLc$2=W+Hr(!|u-uvIWbJ&CPN)X0aQJb%c<1Dr)JisriG3KZJzj_;^ z#(b(Qq#+k)Lz@j8J7rs3K=iihHv<_+|x}(V{y`pw;qyJ))u>=}P>h;PW zwcVdLkj_$i5!{kHt*Lto2M{PIK*$x8_7y6^V=fD@RP#R%J@Vicl&kJXZ3&B zYIZqEoOYyDOd(7Mv)D35C+(rarHVA4Zo}60F^>ywXEwD?3+=R}R*X&=u*T&eRy2BL zYj3Ri75-&B|#b8SsraO&1Lih#-zBPy+nOf(!imPI?(ki_9qu{|w=O z8wk;%*g5M_+W~^pUbAa+olcp(8>#eyktW+`{#jN#)vTb>@MvdN2|I+kb0q}M_CBXe zoe34_w{Vg#+4FGq#zjajBnJcJ#9>V}s0|%rod^gytxQ;TdZ2q=NmHDDjfd}D%K)Ms z^@!#>NF6oi`@OsRmFL#RF)h2emb^?xtm?LUd~^I~knlTrco!xg zQ8*z2axltOn7u966`Y6wg449{u^u6ad^gn=J{tP_=0l_yiLh4K>20=ON3k~Uk;C!- zyMd^K4ysF%`{ih_4zpf&%i(px!0S1>eIu|GXqV+2BhMwnwo;9UG$J|7?>+xDf*Y1f zM8$xkvz6K)sGF{7Q5;dDCgA%=v?}3iB1Id@4Sz)P`^j1OENDcqJk5jacMg9H9TuZ8 z;X-p`^0HdQkg|&7Gnxk)h;O_Q8(SBAsmTYD_ITRbp^QPT1{f$g)AeOPgBuW8lrQYD zDuwxzr(c*Ha?_mnQk6Bax7#F#;^S$mt(|?X{ZOMBZC=~;sMYJMgtLcMdGj?xK3yHk z)wa6acsK9@d4XUx$&BZY>3e&BmHIaKZk(fA$#lpkAD*#&-(+(SF?fMX5GmOB z;lX#;Jk-}TaYF!1{91AY z@J=s8{m_J^A61W~QtktNRsQ%r78w>pj-a`|9D1!a5|``S?%QcsHb=LNSp-QY<@AYx z?6zHBRV7S7QU@Y&)dNC?P~Q&6M++Q=nlfu&y2AU-I>1WR;Mg$PFUd!JbYr=3Z-TgU zKF{prU7~0sm{sUcsGq$oDxb}&w{f2+$t^!Xiw34U_q*SklsF|u4v4+v5j|qYN7(Bf zqI1wc=Kwn8=23|V#oQJWKxeX8`oh7NUSzTLbVi+kEp<*r`PiRt=I6{T)%l7;`(b`M zRCVkz|ND$w{FbCpe}KQr!R~??U&np^IKKX46TPUUBVRdRI!Aca2Qus5ih`~Y-5Ncf z@ykAzAc+KxOw7l2+r{_If*=qMYpypkowbFNDhmar4!lMj{9R4zRp*eA zIp^m#8f%&|Mf2%%C|gE`y3@>L)vQLZchNG^C2n4nP`H&o#HLCtY}fC%VRjP?G~#{U zyv_E@E_gQJlD9yL2rEUT|2IV4q)&5uP0>azOa7#Z{!kyDW!|OZ-dCu9;?SC^G4m>9 ze8@37DrbCk<9d-zMYeMOGs1*$s}D56x8H;FA)kt6c2yn}3c?l?>H$N!Ob9l`d1wX{ z)6{Sc4#$fQ1ZsAQ549kAPioW4r=EH#$g?sXb>iSgMntG9((Iz7G-7z^GbY`U2`5i_ ze=~X*J?W;y1I$^EpR9>i={qk3J1{F8i=MnPL8fjANbO79@QxQS&Secn`Y98 z?%Rl?zE-H(6wBiRhNA;C(EmFI^a#$cwA?hcRttn}1uS+9@Puq*GOT+%T_mjAyL&f5 zsS~&Z{Q7OvN0)|0+y#0QG1iDs^y^$S%|M zBU8|E5G0rU7AzKYWEUzDr<3}=-htW$Rk-culH6CNXXW6>73_EEC~^IZ0nK^coGeu$kC?$zE&`0l~qH$s$U6)?NA4tpl+R z#V@DkqnkoAN;Y&@6Qk!zs_BDu0PUQ#?+n|F{ON58^uE57^pfEJNmT3Aky zUGbTNAg=vRBGVx+EpLD~|4`Q)zU}!@7i}RBbCkAA;4eYN5ExjiQcs=x$TbiL_UCxV+{X5BQX^Mdu5r#NR3I!#E(5clzP6{(a9OH^emz-CDj6XP&^~Cd%>a#&Nk!povpC~V0Kb0 zAkZcpgN)_o0WQZ^3T65g`Ytu$N`5PEuwp=;y@3hKZ+5*T+OE1)31~!Re z7)Tt*zpD>y8SLAS-8#f+*&>Ybj`hUe{IwMUt&2$*l9eC)7j{!JcXm1EbKt^pp<1%`()T z3>@LU_tMYt3Yga8{_dHVSO#FNJ_Ib0jxrcC@Bl>-=j){nl(l*!dz|K}Us9OE)A%%# z(!t^4gv{5cq{|CIXLg|z7dk5#!qxl|2BpTsQjnew5VoQ*;gDZTGiZ#l%$bRqJa&zX zF)4**XgHN(mIZk6MvUr6tfu%cXvdPjj_G|GHK1^tr{SL1_48_{HKis~Ac%s_dV?8G zgNQVG1Ob9 zf)7;(#3$%@wy$Vmrtf1cWy#1C@d-F9N~>|F!}Xt^D!H=g5cN}M$JJD3w#TJvSiRBe z__kmGxUN^c&YCigjXe#VBIFs9b6Nfioml(vC|16K$__3$ovu)lX%XD^!9n5~qfs0d z#~iDT)LlRd&Sz!Ph%jDIY)Yoc!FU@h=JSU__}V&P%K!*O8-i=1$HxyYbrCh0%_s()#M2 zp?L{49Mg>BWUlk_clgS{>B%=d@@wKs2EM|d4uq-ky(4|lfIRnOKJwRBd&0kc>cFD_ zOv;>M0_Xt$rf1G!ry``76k{aP4B$w4#C$4VQ6kv3hv2Yf|2J$C8?cuCn>N9t{Qa&y z|D*d{QZ(%+UDXGNz{40tQNXeOe-pB25K!>96Ri}u%hoEDY<(QD)e7MFHzry9pUL&# zBzWtVp}K$Qk6;MXxHW3Pu%Gf!v|V5UMxFfr--6GJUb{VkI%Cxa%&H|5C3o-g@};ok zB!@x&&E@C+@2&m!K&|f4&CH5#IHuQ48H}QgfLHy>nOi+g<<*!2kJ5h>h5m0S9{s0= zHW3H|u~@%*;Os~;O&B|cy?YW>=@2i`YEuTlfPmfV{@+5dfgaver4^Z~??HVC(?n|w ztVN(|%yuki+~?eLkAKTx6r})^)_=QgjRAD`^KhaNu2yyLD2wRc)qPn?{gUc`3#Y;V z{}=878Xmx!`Yd;J-|FK7bI5g|iN5FMHRqi^7);0$G&;KusWEBx5I$Dp`+3A4@X@x} zs62<$J&f)f_Y9t-%moO3o)qBw`sKLu;abZRs7`}{XHj>EiBYJJnsF#i zO}$yoSe$gKB--^~WIB#+F|q;gtnVBmU9#|&%%{7tyA8iqaJrgx{aiQ7v)xWZ2VH-I zhMZYu?^dcE6L-thhvL0wa|;HK?|C^s>r!etz@QO(=8NIW*m8Vru}j=tU-xgox%;#G zakG$-hJBW-gMi}jDK4t40wU*mOc4SsT8!_Z6%{8NQzKl4l}dUo_jvDJx2(m-*4MeVgW;nc(M|$CrQL$-TZ~F}(0-ml>Bm0^ z88K+64uOXrE_sQKj=R>Jtor3Scl_{foWD?3Flu#fFxn^^F$xY2c)5Tnq6$93IC?&6 z*Z9+}v9k*{+HtMWGEd)3eXBR>k@bt$&yNot2%ftT!KgC?2t8j~xe=$@+%)2%MI9Vm zh=b>Tuf~Q?pA40sj9O`GMYRP(^OLDWFz90eLSfmOY+0IYGcK)dS4d}C+MLr$_lo7? z+gO(zR)}lrl~)=SQu7nu`+I2M{d0_NphOU)Civ!UP0HW-#m(DW{!#yo}{`x!(@!58FGN~pSh!(qB-M@bNe0vJ{bcQ@KwjWo+Vx|${A6d zp}~4aPleLiXe6BT#<(Q(H$g(LX|XUaJFl;!|4MQ-I{lg1LqAE-JeQa>n}nKVZ}6QJ zX25+j>Bck#veNioVTiL~-NnrR72gYp7;o>)%|hX4p&UL5Zf3Br&n800rW`+YL@WHs zF_}FB@3*Ky9tu?L@&y0c@S`B1iUP|+ZmkG z1LHk5;}Y;u zhymOX3=9JL|LZ>{cH3*_E=U1ly6^3 MQP7mHku?wdKPD>@Hvj+t From 56144ccf86abedc1c311371a6ebda51096b31912 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Thu, 29 Aug 2019 13:36:32 +0530 Subject: [PATCH 02/12] add code section in md --- notebooks/00.00-Preface.ipynb | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index e9e8d99a8..eae989f07 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -11,6 +11,19 @@ "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a markdown cell but we'll add some code formatting in here.\n", + "\n", + "```\n", + "book a = 1 about doing data science\n", + "which immediately begs the question\n", + "what is data science\n", + "```" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -190,9 +203,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.8" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } From 3d8a4bfaaf9848943ff10d26a27940c18e69569b Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Thu, 29 Aug 2019 13:41:12 +0530 Subject: [PATCH 03/12] Small change in code in md --- notebooks/00.00-Preface.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index eae989f07..662090c91 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -18,7 +18,7 @@ "This is a markdown cell but we'll add some code formatting in here.\n", "\n", "```\n", - "book a = 1 about doing data science\n", + "book a = 2 about doing data science\n", "which immediately begs the question\n", "what is data science\n", "```" From a4d0698478b9a0e085c9d92e2107a295c2e6f2e9 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Thu, 29 Aug 2019 14:05:26 +0530 Subject: [PATCH 04/12] Code in md with 4 leading spaces --- notebooks/00.00-Preface.ipynb | 18 ++++-------------- 1 file changed, 4 insertions(+), 14 deletions(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index 662090c91..03d9ce861 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -15,21 +15,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This is a markdown cell but we'll add some code formatting in here.\n", + "Let's see if we can create code block in md -- \n", "\n", - "```\n", - "book a = 2 about doing data science\n", - "which immediately begs the question\n", - "what is data science\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "| [Contents](Index.ipynb) | [IPython: Beyond Normal Python](01.00-IPython-Beyond-Normal-Python.ipynb) >" + " book a = 2 about doing data science\n", + " which immediately begs the question\n", + " what is data science" ] }, { From 0e234347560b47970516032adba93c18ba80f206 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Sat, 7 Sep 2019 11:05:55 +0530 Subject: [PATCH 05/12] use $ sign literally --- notebooks/00.00-Preface.ipynb | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index 03d9ce861..d113c6b08 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -11,14 +11,21 @@ "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let us try to use \\\\$ sign literally and not as a math formula. The price of this article is \\\\$10.50 and it's totally worth it." + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see if we can create code block in md -- \n", "\n", - " book a = 2 about doing data science\n", - " which immediately begs the question\n", + " book a = 2 about doing data science\n", + " which immediately begs the question\n", " what is data science" ] }, From 4b458b972894ce99aa59e6d82fad4e03b9438567 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Mon, 9 Sep 2019 18:14:04 +0530 Subject: [PATCH 06/12] Literal $ sign and math formulas on the same line --- notebooks/00.00-Preface.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index d113c6b08..a7941cb26 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -15,7 +15,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let us try to use \\\\$ sign literally and not as a math formula. The price of this article is \\\\$10.50 and it's totally worth it." + "Let us try to use \\\\$ sign literally and not as a math formula. Here's an actual math formula on the same line as literal $ signs. $ a = b + c $ The price of this article is \\\\$10.50 and it's totally worth it." ] }, { From b184da47569e450fa6bee1ecf2b7c6d0ff41eca3 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Mon, 9 Sep 2019 18:20:55 +0530 Subject: [PATCH 07/12] Literal $ sign --- notebooks/00.00-Preface.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index a7941cb26..9ce9a5aca 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -15,7 +15,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let us try to use \\\\$ sign literally and not as a math formula. Here's an actual math formula on the same line as literal $ signs. $ a = b + c $ The price of this article is \\\\$10.50 and it's totally worth it." + "Let us try to use \\\\$ sign literally and not as a math formula. Here's an actual math formula on the same line as literal dollor signs. $ a = b + c $ The price of this article is \\\\$10.50 and it's totally worth it." ] }, { From 2fa246b3b28193d23a35ca13afef2a6c01a812fb Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Tue, 12 May 2020 15:10:18 +0530 Subject: [PATCH 08/12] New folder for testing --- tmp-folder/00.00-nbk.ipynb | 208 +++++++++++++++++++++++++++++++++++++ 1 file changed, 208 insertions(+) create mode 100644 tmp-folder/00.00-nbk.ipynb diff --git a/tmp-folder/00.00-nbk.ipynb b/tmp-folder/00.00-nbk.ipynb new file mode 100644 index 000000000..9ce9a5aca --- /dev/null +++ b/tmp-folder/00.00-nbk.ipynb @@ -0,0 +1,208 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "*This notebook contains an excerpt from the [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do) by Jake VanderPlas; the content is available [on GitHub](https://github.com/jakevdp/PythonDataScienceHandbook).*\n", + "\n", + "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let us try to use \\\\$ sign literally and not as a math formula. Here's an actual math formula on the same line as literal dollor signs. $ a = b + c $ The price of this article is \\\\$10.50 and it's totally worth it." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's see if we can create code block in md -- \n", + "\n", + " book a = 2 about doing data science\n", + " which immediately begs the question\n", + " what is data science" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preface" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What Is Data Science?\n", + "\n", + "This is a book about doing data science with Python, which immediately begs the question: what is *data science*?\n", + "It's a surprisingly hard definition to nail down, especially given how ubiquitous the term has become.\n", + "Vocal critics have variously dismissed the term as a superfluous label (after all, what science doesn't involve data?) or a simple buzzword that only exists to salt resumes and catch the eye of overzealous tech recruiters.\n", + "\n", + "In my mind, these critiques miss something important.\n", + "Data science, despite its hype-laden veneer, is perhaps the best label we have for the cross-disciplinary set of skills that are becoming increasingly important in many applications across industry and academia.\n", + "This cross-disciplinary piece is key: in my mind, the best extisting definition of data science is illustrated by Drew Conway's Data Science Venn Diagram, first published on his blog in September 2010:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Data Science Venn Diagram](figures/Data_Science_VD.png)\n", + "\n", + "(Source: [Drew Conway](http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram). Used by permission.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While some of the intersection labels are a bit tongue-in-cheek, this diagram captures the essence of what I think people mean when they say \"data science\": it is fundamentally an *interdisciplinary* subject.\n", + "Data science comprises three distinct and overlapping areas: the skills of a *statistician* who knows how to model and summarize datasets (which are growing ever larger); the skills of a *computer scientist* who can design and use algorithms to efficiently store, process, and visualize this data; and the *domain expertise*—what we might think of as \"classical\" training in a subject—necessary both to formulate the right questions and to put their answers in context.\n", + "\n", + "With this in mind, I would encourage you to think of data science not as a new domain of knowledge to learn, but a new set of skills that you can apply within your current area of expertise.\n", + "Whether you are reporting election results, forecasting stock returns, optimizing online ad clicks, identifying microorganisms in microscope photos, seeking new classes of astronomical objects, or working with data in any other field, the goal of this book is to give you the ability to ask and answer new questions about your chosen subject area." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Who Is This Book For?\n", + "\n", + "In my teaching both at the University of Washington and at various tech-focused conferences and meetups, one of the most common questions I have heard is this: \"how should I learn Python?\"\n", + "The people asking are generally technically minded students, developers, or researchers, often with an already strong background in writing code and using computational and numerical tools.\n", + "Most of these folks don't want to learn Python *per se*, but want to learn the language with the aim of using it as a tool for data-intensive and computational science.\n", + "While a large patchwork of videos, blog posts, and tutorials for this audience is available online, I've long been frustrated by the lack of a single good answer to this question; that is what inspired this book.\n", + "\n", + "The book is not meant to be an introduction to Python or to programming in general; I assume the reader has familiarity with the Python language, including defining functions, assigning variables, calling methods of objects, controlling the flow of a program, and other basic tasks.\n", + "Instead it is meant to help Python users learn to use Python's data science stack–libraries such as IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools–to effectively store, manipulate, and gain insight from data." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Why Python?\n", + "\n", + "Python has emerged over the last couple decades as a first-class tool for scientific computing tasks, including the analysis and visualization of large datasets.\n", + "This may have come as a surprise to early proponents of the Python language: the language itself was not specifically designed with data analysis or scientific computing in mind.\n", + "The usefulness of Python for data science stems primarily from the large and active ecosystem of third-party packages: *NumPy* for manipulation of homogeneous array-based data, *Pandas* for manipulation of heterogeneous and labeled data, *SciPy* for common scientific computing tasks, *Matplotlib* for publication-quality visualizations, *IPython* for interactive execution and sharing of code, *Scikit-Learn* for machine learning, and many more tools that will be mentioned in the following pages.\n", + "\n", + "If you are looking for a guide to the Python language itself, I would suggest the sister project to this book, \"[A Whirlwind Tour of the Python Language](https://github.com/jakevdp/WhirlwindTourOfPython)\".\n", + "This short report provides a tour of the essential features of the Python language, aimed at data scientists who already are familiar with one or more other programming languages." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Python 2 vs Python 3\n", + "\n", + "This book uses the syntax of Python 3, which contains language enhancements that are not compatible with the 2.x series of Python.\n", + "Though Python 3.0 was first released in 2008, adoption has been relatively slow, particularly in the scientific and web development communities.\n", + "This is primarily because it took some time for many of the essential third-party packages and toolkits to be made compatible with the new language internals.\n", + "Since early 2014, however, stable releases of the most important tools in the data science ecosystem have been fully compatible with both Python 2 and 3, and so this book will use the newer Python 3 syntax.\n", + "However, the vast majority of code snippets in this book will also work without modification in Python 2: in cases where a Py2-incompatible syntax is used, I will make every effort to note it explicitly." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outline of the Book\n", + "\n", + "Each chapter of this book focuses on a particular package or tool that contributes a fundamental piece of the Python Data Sciece story.\n", + "\n", + "1. IPython and Jupyter: these packages provide the computational environment in which many Python-using data scientists work.\n", + "2. NumPy: this library provides the ``ndarray`` for efficient storage and manipulation of dense data arrays in Python.\n", + "3. Pandas: this library provides the ``DataFrame`` for efficient storage and manipulation of labeled/columnar data in Python.\n", + "4. Matplotlib: this library provides capabilities for a flexible range of data visualizations in Python.\n", + "5. Scikit-Learn: this library provides efficient & clean Python implementations of the most important and established machine learning algorithms.\n", + "\n", + "The PyData world is certainly much larger than these five packages, and is growing every day.\n", + "With this in mind, I make every attempt through these pages to provide references to other interesting efforts, projects, and packages that are pushing the boundaries of what can be done in Python.\n", + "Nevertheless, these five are currently fundamental to much of the work being done in the Python data science space, and I expect they will remain important even as the ecosystem continues growing around them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Using Code Examples\n", + "\n", + "Supplemental material (code examples, figures, etc.) is available for download at http://github.com/jakevdp/PythonDataScienceHandbook/. This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from O’Reilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your product’s documentation does require permission.\n", + "\n", + "We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example:\n", + "\n", + "> *The Python Data Science Handbook* by Jake VanderPlas (O’Reilly). Copyright 2016 Jake VanderPlas, 978-1-491-91205-8.\n", + "\n", + "If you feel your use of code examples falls outside fair use or the per‐ mission given above, feel free to contact us at permissions@oreilly.com." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installation Considerations\n", + "\n", + "Installing Python and the suite of libraries that enable scientific computing is straightforward . This section will outline some of the considerations when setting up your computer.\n", + "\n", + "Though there are various ways to install Python, the one I would suggest for use in data science is the Anaconda distribution, which works similarly whether you use Windows, Linux, or Mac OS X.\n", + "The Anaconda distribution comes in two flavors:\n", + "\n", + "- [Miniconda](http://conda.pydata.org/miniconda.html) gives you the Python interpreter itself, along with a command-line tool called ``conda`` which operates as a cross-platform package manager geared toward Python packages, similar in spirit to the apt or yum tools that Linux users might be familiar with.\n", + "\n", + "- [Anaconda](https://www.continuum.io/downloads) includes both Python and conda, and additionally bundles a suite of other pre-installed packages geared toward scientific computing. Because of the size of this bundle, expect the installation to consume several gigabytes of disk space.\n", + "\n", + "Any of the packages included with Anaconda can also be installed manually on top of Miniconda; for this reason I suggest starting with Miniconda.\n", + "\n", + "To get started, download and install the Miniconda package–make sure to choose a version with Python 3–and then install the core packages used in this book:\n", + "\n", + "```\n", + "[~]$ conda install numpy pandas scikit-learn matplotlib seaborn jupyter\n", + "```\n", + "\n", + "Throughout the text, we will also make use of other more specialized tools in Python's scientific ecosystem; installation is usually as easy as typing **``conda install packagename``**.\n", + "For more information on conda, including information about creating and using conda environments (which I would *highly* recommend), refer to [conda's online documentation](http://conda.pydata.org/docs/)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "| [Contents](Index.ipynb) | [IPython: Beyond Normal Python](01.00-IPython-Beyond-Normal-Python.ipynb) >" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From 01636ade2c2733a8a7231f5f8016f9c230c6a425 Mon Sep 17 00:00:00 2001 From: Amit Rathi Date: Thu, 28 May 2020 10:40:28 +0530 Subject: [PATCH 09/12] Test literal $ characters in error output --- notebooks/00.00-Preface.ipynb | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/notebooks/00.00-Preface.ipynb b/notebooks/00.00-Preface.ipynb index 9ce9a5aca..bc61190e9 100644 --- a/notebooks/00.00-Preface.ipynb +++ b/notebooks/00.00-Preface.ipynb @@ -11,6 +11,28 @@ "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*" ] }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "'{print $1,$2,$3,$4,$5-1}'\n" + ] + } + ], + "source": [ + "import sys\n", + "\n", + "def eprint(*args, **kwargs):\n", + " print(*args, file=sys.stderr, **kwargs)\n", + "\n", + "eprint(\"'{print $1,$2,$3,$4,$5-1}'\")" + ] + }, { "cell_type": "markdown", "metadata": {}, From faf53b212510fc699d4f12c789e274a56be77f20 Mon Sep 17 00:00:00 2001 From: amit2rrr Date: Fri, 23 Apr 2021 20:20:26 +0530 Subject: [PATCH 10/12] Empty file as notebook --- empty.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 empty.ipynb diff --git a/empty.ipynb b/empty.ipynb new file mode 100644 index 000000000..e69de29bb From d62ff4d94fdd277e4229633a294c26bcc1f7cdcf Mon Sep 17 00:00:00 2001 From: amit2rrr Date: Fri, 23 Apr 2021 23:16:23 +0530 Subject: [PATCH 11/12] New plotly notebook --- iplot_display_dupes.ipynb | 796 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 796 insertions(+) create mode 100644 iplot_display_dupes.ipynb diff --git a/iplot_display_dupes.ipynb b/iplot_display_dupes.ipynb new file mode 100644 index 000000000..bd4da8582 --- /dev/null +++ b/iplot_display_dupes.ipynb @@ -0,0 +1,796 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import ipywidgets\n", + "import plotly.graph_objs as go\n", + "from plotly.offline import iplot" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + "plotlyServerURL": "https://plot.ly", + "showLink": false + }, + "data": [ + { + "orientation": "h", + "type": "bar", + "uid": "a72b34d2-0024-4ead-ad82-7e7d2af7f6ea", + "x": [ + 0, + 1, + 2, + 3, + 4 + ], + "y": [ + 0, + 1, + 2, + 3, + 4 + ] + } + ], + "layout": { + "autosize": true, + "bargap": 0.1, + "hovermode": "y", + "margin": { + "l": 200, + "t": 35 + }, + "template": { + "data": { + "bar": [ + { + "marker": { + "line": { + "color": "rgb(237,237,237)", + "width": 0.5 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "rgb(237,237,237)", + "width": 0.5 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "rgb(51,51,51)", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "rgb(51,51,51)" + }, + "baxis": { + "endlinecolor": "rgb(51,51,51)", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "rgb(51,51,51)" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "autocolorscale": true, + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "autocolorscale": true, + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "autocolorscale": true, + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "autocolorscale": true, + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "parcoords" + } + ], + "scatter": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "tickcolor": "rgb(237,237,237)", + "ticklen": 6, + "ticks": "inside" + }, + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "rgb(237,237,237)" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "rgb(217,217,217)" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowhead": 0, + "arrowwidth": 1 + }, + "colorscale": { + "sequential": [ + [ + 0, + "rgb(20,44,66)" + ], + [ + 1, + "rgb(90,179,244)" + ] + ], + "sequentialminus": [ + [ + 0, + "rgb(20,44,66)" + ], + [ + 1, + "rgb(90,179,244)" + ] + ] + }, + "colorway": [ + "#F8766D", + "#A3A500", + "#00BF7D", + "#00B0F6", + "#E76BF3" + ], + "font": { + "color": "rgb(51,51,51)" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "rgb(237,237,237)", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hovermode": "closest", + "paper_bgcolor": "white", + "plot_bgcolor": "rgb(237,237,237)", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside" + }, + "bgcolor": "rgb(237,237,237)", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "rgb(237,237,237)", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "rgb(237,237,237)", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "rgb(237,237,237)", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "fillcolor": "black", + "line": { + "width": 0 + }, + "opacity": 0.3 + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside" + }, + "bgcolor": "rgb(237,237,237)", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside" + } + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside", + "zerolinecolor": "white" + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "showgrid": true, + "tickcolor": "rgb(51,51,51)", + "ticks": "outside", + "zerolinecolor": "white" + } + } + }, + "xaxis": { + "autorange": true, + "range": [ + -0.033447777295997905, + 0.6355077686239602 + ], + "title": { + "text": "log" + }, + "type": "log" + }, + "yaxis": { + "autorange": true, + "range": [ + -0.5, + 4.5 + ], + "type": "linear" + } + } + }, + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ea5ba89835034a248324a2c62e0948f2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Checkbox(value=False, description='%')" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = [go.Bar(x=[i for i in range(5)], y=[i for i in range(5)], orientation=\"h\")]\n", + "layout = go.Layout(\n", + " bargap=0.1,\n", + " xaxis=go.layout.XAxis(type=\"log\", title=\"log\"),\n", + " template=\"ggplot2\",\n", + " hovermode=\"y\",\n", + " margin=dict(l=200, t=35),\n", + ")\n", + "iplot(go.Figure(data, layout))\n", + "\n", + "c = ipywidgets.Checkbox(description=\"%\", value=False)\n", + "display(c)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "plotly 3.7.1 \n", + "ipython 7.4.0 \n", + "ipython-genutils 0.2.0 \n" + ] + } + ], + "source": [ + "!pip list installed | grep plotly\n", + "!pip list installed | grep ipython" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JupyterLab v0.35.4\n", + "Known labextensions:\n", + " app dir: /Users/valery/.local/share/virtualenvs/arche-lm24e12g/share/jupyter/lab\n", + " @jupyter-widgets/jupyterlab-manager v0.38.1 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n", + " @jupyterlab/plotly-extension v0.18.2 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n", + " plotlywidget v0.8.0 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n" + ] + } + ], + "source": [ + "!jupyter labextension list" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Package Version \n", + "--------------------------------- --------\n", + "alabaster 0.7.12 \n", + "appdirs 1.4.3 \n", + "appnope 0.1.0 \n", + "atomicwrites 1.3.0 \n", + "attrs 19.1.0 \n", + "Babel 2.6.0 \n", + "backcall 0.1.0 \n", + "black 19.3b0 \n", + "bleach 3.1.0 \n", + "boto3 1.9.126 \n", + "botocore 1.12.126\n", + "bumpversion 0.5.3 \n", + "certifi 2019.3.9\n", + "chardet 3.0.4 \n", + "Click 7.0 \n", + "codecov 2.0.15 \n", + "colorama 0.4.1 \n", + "colorlover 0.3.0 \n", + "commonmark 0.8.1 \n", + "coverage 4.5.3 \n", + "cufflinks 0.15 \n", + "decorator 4.4.0 \n", + "defusedxml 0.5.0 \n", + "docutils 0.14 \n", + "entrypoints 0.3 \n", + "fastjsonschema 2.9 \n", + "filelock 3.0.10 \n", + "flake8 3.7.7 \n", + "flake8-bugbear 19.3.0 \n", + "flake8-import-order 0.18.1 \n", + "future 0.17.1 \n", + "genson 1.0.2 \n", + "idna 2.8 \n", + "imagesize 1.1.0 \n", + "ipykernel 5.1.0 \n", + "ipython 7.4.0 \n", + "ipython-genutils 0.2.0 \n", + "ipywidgets 7.4.2 \n", + "jedi 0.13.3 \n", + "Jinja2 2.10 \n", + "jmespath 0.9.4 \n", + "jsonpointer 2.0 \n", + "jsonschema 3.0.1 \n", + "jupyter-client 5.2.4 \n", + "jupyter-console 6.0.0 \n", + "jupyter-contrib-core 0.3.3 \n", + "jupyter-core 4.4.0 \n", + "jupyter-nbextensions-configurator 0.4.1 \n", + "jupyterlab 0.35.4 \n", + "jupyterlab-server 0.2.0 \n", + "livereload 2.6.0 \n", + "Markdown 3.0.1 \n", + "MarkupSafe 1.1.1 \n", + "mccabe 0.6.1 \n", + "mistune 0.8.4 \n", + "mkdocs 1.0.4 \n", + "more-itertools 7.0.0 \n", + "msgpack-python 0.5.6 \n", + "nbconvert 5.4.1 \n", + "nbformat 4.4.0 \n", + "nbsphinx 0.4.2 \n", + "nose 1.3.7 \n", + "notebook 5.7.8 \n", + "numpy 1.16.2 \n", + "packaging 19.0 \n", + "pandas 0.24.2 \n", + "pandocfilters 1.4.2 \n", + "parso 0.3.4 \n", + "pbr 5.1.3 \n", + "perfect-jsonschema 2019.2.6\n", + "pexpect 4.6.0 \n", + "pickleshare 0.7.5 \n", + "pip 19.0.3 \n", + "plotly 3.7.1 \n", + "pluggy 0.9.0 \n", + "ply 3.11 \n", + "prometheus-client 0.6.0 \n", + "prompt-toolkit 2.0.9 \n", + "ptyprocess 0.6.0 \n", + "pudb 2018.1 \n", + "py 1.8.0 \n", + "pycodestyle 2.5.0 \n", + "pydoc-markdown 2.0.5 \n", + "pyflakes 2.1.1 \n", + "Pygments 2.3.1 \n", + "pypandoc 1.4 \n", + "pyparsing 2.3.1 \n", + "pyrsistent 0.14.11 \n", + "pytest 4.4.0 \n", + "pytest-cov 2.6.1 \n", + "pytest-mock 1.10.3 \n", + "pytest-pudb 0.7.0 \n", + "pytest-pythonpath 0.7.3 \n", + "python-dateutil 2.8.0 \n", + "pytz 2018.9 \n", + "PyYAML 5.1 \n", + "pyzmq 18.0.1 \n", + "recommonmark 0.5.0 \n", + "requests 2.21.0 \n", + "retrying 1.3.3 \n", + "rfc3987 1.3.8 \n", + "s3transfer 0.2.0 \n", + "scrapinghub 2.1.0 \n", + "Send2Trash 1.5.0 \n", + "setuptools 40.8.0 \n", + "six 1.12.0 \n", + "snowballstemmer 1.2.1 \n", + "Sphinx 2.0.0 \n", + "sphinx-rtd-theme 0.4.3 \n", + "sphinxcontrib-apidoc 0.3.0 \n", + "sphinxcontrib-applehelp 1.0.1 \n", + "sphinxcontrib-devhelp 1.0.1 \n", + "sphinxcontrib-htmlhelp 1.0.1 \n", + "sphinxcontrib-jsmath 1.0.1 \n", + "sphinxcontrib-qthelp 1.0.2 \n", + "sphinxcontrib-serializinghtml 1.1.1 \n", + "sphinxcontrib-websupport 1.1.0 \n", + "strict-rfc3339 0.7 \n", + "terminado 0.8.2 \n", + "testpath 0.4.2 \n", + "toml 0.10.0 \n", + "tornado 6.0.2 \n", + "tox 3.8.4 \n", + "tqdm 4.31.1 \n", + "traitlets 4.3.2 \n", + "urllib3 1.24.1 \n", + "urwid 2.0.1 \n", + "virtualenv 16.4.3 \n", + "wcwidth 0.1.7 \n", + "webcolors 1.8.1 \n", + "webencodings 0.5.1 \n", + "wheel 0.33.1 \n", + "widgetsnbextension 3.4.2 \n" + ] + } + ], + "source": [ + "!pip list installed" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From fc1128791024fd064c9574c2cc0754a43713ff12 Mon Sep 17 00:00:00 2001 From: amit2rrr Date: Sat, 24 Apr 2021 12:02:11 +0530 Subject: [PATCH 12/12] Plotly plots to reproduce duplicates --- Plotly Plots.ipynb | 178385 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 178385 insertions(+) create mode 100644 Plotly Plots.ipynb diff --git a/Plotly Plots.ipynb b/Plotly Plots.ipynb new file mode 100644 index 000000000..e272ff34f --- /dev/null +++ b/Plotly Plots.ipynb @@ -0,0 +1,178385 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + "plotlyServerURL": "https://plot.ly", + "showLink": false + }, + "data": [ + { + "colorscale": [ + [ + 0, + "#00083e" + ], + [ + 0.5, + "#ededee" + ], + [ + 1, + "#ffffff" + ] + ], + "hoverinfo": "none", + "opacity": 0.75, + "showscale": false, + "type": "heatmap", + "z": [ + [ + 0, + 0, + 0, + 0 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ], + [ + 1, + 1, + 1, + 1 + ], + [ + 0.5, + 0.5, + 0.5, + 0.5 + ] + ] + } + ], + "layout": { + "annotations": [ + { + "align": "left", + "font": { + "color": "#ffffff" + }, + "showarrow": false, + "text": "School", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 0, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#ffffff" + }, + "showarrow": false, + "text": "Women", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 0, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#ffffff" + }, + "showarrow": false, + "text": "Men", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 0, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#ffffff" + }, + "showarrow": false, + "text": "Gap", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 0, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "MIT", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 1, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "94", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 1, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "152", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 1, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "58", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 1, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Stanford", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 2, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "96", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 2, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "151", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 2, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "55", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 2, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Harvard", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 3, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "112", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 3, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "165", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 3, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "53", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 3, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "U.Penn", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 4, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "92", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 4, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "141", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 4, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "49", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 4, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Princeton", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 5, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "90", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 5, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "137", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 5, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "47", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 5, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Chicago", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 6, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "78", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 6, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "118", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 6, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "40", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 6, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Georgetown", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 7, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "94", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 7, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "131", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 7, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "37", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 7, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Tufts", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 8, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "76", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 8, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "112", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 8, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "36", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 8, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Yale", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 9, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "79", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 9, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "114", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 9, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "35", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 9, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Columbia", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 10, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "86", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 10, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "119", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 10, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "33", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 10, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Duke", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 11, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "93", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 11, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "124", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 11, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "31", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 11, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Dartmouth", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 12, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "84", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 12, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "114", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 12, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "30", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 12, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "NYU", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 13, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "67", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 13, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "94", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 13, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "27", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 13, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Notre Dame", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 14, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "73", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 14, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "100", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 14, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "27", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 14, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Cornell", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 15, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "80", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 15, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "107", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 15, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "27", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 15, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Michigan", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 16, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "62", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 16, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "84", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 16, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "22", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 16, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Brown", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 17, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "72", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 17, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "92", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 17, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "20", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 17, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Berkeley", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 18, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "71", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 18, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "88", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 18, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "17", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 18, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "Emory", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 19, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "68", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 19, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "82", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 19, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "14", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 19, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "UCLA", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 20, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "64", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 20, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "78", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 20, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "14", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 20, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "SoCal", + "x": -0.45, + "xanchor": "left", + "xref": "x", + "y": 21, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "72", + "x": 0.55, + "xanchor": "left", + "xref": "x", + "y": 21, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "81", + "x": 1.55, + "xanchor": "left", + "xref": "x", + "y": 21, + "yref": "y" + }, + { + "align": "left", + "font": { + "color": "#000000" + }, + "showarrow": false, + "text": "9", + "x": 2.55, + "xanchor": "left", + "xref": "x", + "y": 21, + "yref": "y" + } + ], + "height": 710, + "margin": { + "b": 0, + "l": 0, + "r": 0, + "t": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "dtick": 1, + "gridwidth": 2, + "showticklabels": false, + "tick0": -0.5, + "ticks": "", + "zeroline": false + }, + "yaxis": { + "autorange": "reversed", + "dtick": 1, + "gridwidth": 2, + "showticklabels": false, + "tick0": 0.5, + "ticks": "", + "zeroline": false + } + } + }, + "text/html": [ + "
    \n", + " \n", + " \n", + "
    \n", + " \n", + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import chart_studio.plotly as py\n", + "import plotly.figure_factory as ff\n", + "import pandas as pd\n", + "from plotly.offline import iplot\n", + "\n", + "df = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv\")\n", + "\n", + "table = ff.create_table(df)\n", + "iplot(table, filename='jupyter-table1')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + "plotlyServerURL": "https://plot.ly", + "showLink": false + }, + "data": [ + { + "type": "bar", + "x": [ + "MIT", + "Stanford", + "Harvard", + "U.Penn", + "Princeton", + "Chicago", + "Georgetown", + "Tufts", + "Yale", + "Columbia", + "Duke", + "Dartmouth", + "NYU", + "Notre Dame", + "Cornell", + "Michigan", + "Brown", + "Berkeley", + "Emory", + "UCLA", + "SoCal" + ], + "y": [ + 58, + 55, + 53, + 49, + 47, + 40, + 37, + 36, + 35, + 33, + 31, + 30, + 27, + 27, + 27, + 22, + 20, + 17, + 14, + 14, + 9 + ] + } + ], + "layout": { + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + } + } + }, + "text/html": [ + "
    \n", + " \n", + " \n", + "
    \n", + " \n", + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import chart_studio.plotly as py\n", + "import plotly.graph_objects as go\n", + "\n", + "data = [go.Bar(x=df.School,\n", + " y=df.Gap)]\n", + "\n", + "iplot(data, filename='jupyter-basic_bar')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + "plotlyServerURL": "https://plot.ly", + "showLink": false + }, + "data": [ + { + "type": "surface", + "x": [ + [ + 0, + 0.056018243791582024, + 0.11876723188987023, + 0.18784331648031274, + 0.26260954764839783, + 0.34221269273537636, + 0.4256064272344647, + 0.5115800902079969, + 0.5987922505586359, + 0.6858082029981799, + 0.7711404074799797, + 0.8532908058874493, + 0.9307938969633416, + 1.0022594262020141, + 1.0664135523722633, + 1.1221373864195807, + 1.168501860909015, + 1.2047979773947326, + 1.2305615929452358, + 1.2455920426975036, + 1.249964049390397, + 1.2440325395004885, + 1.2284301646618387, + 1.2040575120168417, + 1.172066173382897, + 1.1338350259531544, + 1.0909402520781157, + 1.0451197880882066, + 0.9982330380059466, + 0.9522168136540172, + 0.9090385648829727, + 0.8706480397872174, + 0.8389285628616627, + 0.8156491377795313, + 0.802418570276951, + 0.8006427656875247, + 0.8114862858946872, + 0.8358391534936732, + 0.874289769089086, + 0.9271046638310337, + 0.9942156469955521, + 1.0752147315912117, + 1.1693570339386614, + 1.2755716505000183, + 1.3924803216553023, + 1.5184235023904424, + 1.651493278646445, + 1.78957239985179, + 1.930378547077465, + 2.0715128260588864, + 2.2105113682559003, + 2.3448988438176572, + 2.4722426397760056, + 2.5902064362976542, + 2.6966019239346175, + 2.7894374453263917, + 2.8669624147823414, + 2.927706466941762, + 2.9705124089224983, + 2.9945621960518736, + 2.9993953158989832, + 2.984919144902403, + 2.95141103205167, + 2.899512060213838, + 2.8302126330304667, + 2.744830229048498, + 2.644979850182069, + 2.5325378642269136, + 2.4096000967752813, + 2.2784351627356747, + 2.1414341384872597, + 2.0010577598229524, + 1.859782386243655, + 1.720045997549324, + 1.5841954834581968, + 1.454436451351645, + 1.3327867121122297, + 1.221034511042566, + 1.1207024523491833, + 1.0330179245985116, + 0.9588906744010262, + 0.8988980003165823, + 0.8532778529262875, + 0.8219299347680321, + 0.8044247001127186, + 0.8000199641216524, + 0.8076846484377509, + 0.8261290201838827, + 0.8538406278149349, + 0.8891250040229537, + 0.93015009614457, + 0.9749933008966695, + 1.0216899247474471, + 1.0682818650929202, + 1.112865311200247, + 1.1536362974020187, + 1.1889330033462424, + 1.2172737855780649, + 1.237390039033666, + 1.248253123234139, + 1.2490947426088512, + 1.2394203395337227, + 1.219015238066734, + 1.1879434614810382, + 1.1465393328824192, + 1.09539215078203, + 1.0353244059065794, + 0.9673641674083236, + 0.8927124119504425, + 0.8127061942752944, + 0.7287786597116185, + 0.6424169751285275, + 0.5551193032367778, + 0.4683519647061953, + 0.38350792287249386, + 0.30186768714330153, + 0.2245636646065025, + 0.15254889651988446, + 0.0865709997041844, + 0.02715199535426616, + -0.02542544706904995, + -0.07112499146024243, + -0.1101566601808608, + -0.14296990264444673, + -0.17023988936249904, + -0.19284739082306204, + -0.21185276882987894, + -0.22846476278230923, + -0.24400489088369218, + -0.25986840292288904, + -0.2774828140979546, + -0.298265115957844, + -0.3235787992016268, + -0.35469183277057104, + -0.39273672410032845, + -0.438673737008059, + -0.49325826763785996, + -0.557013277039616, + -0.6302075538247861, + -0.7128404350298457, + -0.8046334514381782, + -0.9050291892005368, + -1.013197477010279, + -1.1280488219037779, + -1.2482548316387538, + -1.372275182206858, + -1.4983905198815513, + -1.6247405325609303, + -1.7493662889585662, + -1.8702558298914445, + -1.985391906443385, + -2.0928006974624234, + -2.190600305328375, + -2.277047825136191, + -2.350583808578468, + -2.409872999329884, + -2.4538403003603992, + -2.4817010433547493, + -2.4929847636638556, + -2.487551837741151, + -2.4656025100969456, + -2.427678019292502, + -2.3746537229328624, + -2.3077243153383202, + -2.2283814238234356, + -2.138384055561092, + -2.039722542272693, + -1.934576790137821, + -1.825269783394303, + -1.7142174086040605, + -1.6038757595409125, + -1.4966871477872068, + -1.3950260797610032, + -1.3011464661105727, + -1.217131304030897, + -1.1448460176490634, + -1.085896557502323, + -1.041593249307868, + -1.0129212473679412, + -1.000518292328518, + -1.00466030038609, + -1.0252551256044227, + -1.0618446432659507, + -1.113615104849343, + -1.179415519092741, + -1.2577836234387658, + -1.3469788305833141, + -1.4450213702257828, + -1.5497367004363096, + -1.6588041398433022, + -1.769808574076164, + -1.8802940199242353, + -1.9878177901598, + -2.0900039918646045, + -2.184595111593696, + -2.269500491254376, + -2.3428405778832393, + -2.4029859365783026, + -2.44859014603917, + -2.47861584725169, + -2.492353384081862, + -2.4894316557595793, + -2.4698209909662308, + -2.4338280468206586, + -2.3820829287286567, + -2.315518914097043, + -2.2353453397379655, + -2.1430143750870663, + -2.0401825471828503, + -1.9286680052212164, + -1.8104046094757327, + -1.6873939991503402, + -1.5616568346742017, + -1.435184421144021, + -1.3098919008916443, + -1.1875741550715309, + -1.0698654780185384, + -0.9582039859095083, + -0.853801595604957, + -0.757620263659397, + -0.6703550130757956, + -0.592424100551756, + -0.5239664941319829, + -0.46484664494438344, + -0.4146663517320113, + -0.372783337835124, + -0.33833599160518646, + -0.3102735671559489, + -0.28739100671277595, + -0.2683674319788744, + -0.25180726271244763, + -0.23628285829676418, + -0.22037754400412285, + -0.20272787870956255, + -0.18206404507284082, + -0.15724729601519458, + -0.12730347129111383, + -0.09145170303299512, + -0.04912755663626539, + -4.89858719658941e-16 + ], + [ + 0, + 0.05839307618986191, + 0.1233617925380928, + 0.1943820511637335, + 0.2707050756209538, + 0.35137790784807, + 0.43526974876700136, + 0.5211034498675013, + 0.6074913271161951, + 0.6929743536339265, + 0.7760636967226291, + 0.8552835003279383, + 0.9292137775668231, + 0.9965322704969629, + 1.0560541560935521, + 1.106768527931227, + 1.1478706611216773, + 1.1787891717153385, + 1.1992073084760109, + 1.2090777615351576, + 1.2086305352779076, + 1.1983736078413698, + 1.179086282440644, + 1.1518053217979933, + 1.1178041415652606, + 1.0785655171549693, + 1.0357484263305083, + 0.991149803004612, + 0.946662112073751, + 0.904227767348762, + 0.8657915018486927, + 0.8332518596425427, + 0.8084130094642701, + 0.7929380816172898, + 0.7883052010910294, + 0.7957673319417965, + 0.8163169621798083, + 0.850656546686698, + 0.8991754907434103, + 0.9619343018388712, + 1.038656366318649, + 1.1287276242924813, + 1.231204225528916, + 1.3448280554991456, + 1.468049829045505, + 1.5990592640613925, + 1.7358216736428271, + 1.8761201567053378, + 2.017602427977797, + 2.1578312120413066, + 2.2943370355739248, + 2.4246721894601997, + 2.546464599512747, + 2.657470342090816, + 2.7556235690016173, + 2.839082664097144, + 2.9062715405612276, + 2.955915100945629, + 2.987068018836656, + 2.9991361583071887, + 2.991890121222418, + 2.9654705988009393, + 2.920385398060126, + 2.8574982111757214, + 2.7780093915615747, + 2.683429189867384, + 2.5755440814978363, + 2.4563769803430384, + 2.328142277221598, + 2.193196762591293, + 2.0539875884545866, + 1.912998491784189, + 1.7726955396117317, + 1.635473663279969, + 1.5036052261231385, + 1.3791918156280571, + 1.2641203692913279, + 1.1600246349772438, + 1.0682528342970046, + 0.9898422446552699, + 0.9255012459279349, + 0.8755991954348747, + 0.840164304446122, + 0.8188894955936774, + 0.8111460280144528, + 0.8160044905411793, + 0.832262587348095, + 0.8584789794366825, + 0.8930123031273065, + 0.9340643667464071, + 0.9797264318501301, + 1.0280274178605375, + 1.076982830484107, + 1.12464320558776, + 1.169140881438574, + 1.2087339627405411, + 1.241846418371089, + 1.2671033590863767, + 1.2833606690437627, + 1.289728312527245, + 1.285586801012501, + 1.2705964815323798, + 1.2446994907693827, + 1.2081144057955546, + 1.1613238072234056, + 1.1050551490953704, + 1.0402554976619536, + 0.9680608540947259, + 0.889760910346337, + 0.8067601994775061, + 0.7205366890513463, + 0.6325989265058547, + 0.5444428772934938, + 0.4575095992761028, + 0.37314487037117905, + 0.29256183148287823, + 0.21680762475414275, + 0.14673490025958624, + 0.08297893516227652, + 0.02594096137734948, + -0.024221865308999793, + -0.06759959577673874, + -0.10452563948015624, + -0.1355660420009156, + -0.16150217240002984, + -0.18330727715576306, + -0.20211751847447693, + -0.21919826003475956, + -0.23590648907277387, + -0.2536503669271845, + -0.2738469780922695, + -0.2978793984695675, + -0.32705422553893393, + -0.3625607059855315, + -0.40543256005097483, + -0.4565135373876702, + -0.5164276480591268, + -0.5855548967917936, + -0.6640132115084659, + -0.751647101967686, + -0.8480234148669165, + -0.9524343722735776, + -1.0639078952199967, + -1.181225028376585, + -1.302944099573765, + -1.427431074164192, + -1.5528954031900657, + -1.6774305201230104, + -1.7990580172432522, + -1.915774432682567, + -2.0255995053521128, + -2.126624709343103, + -2.2170608631598383, + -2.2952836228263256, + -2.359875711262457, + -2.409664808378247, + -2.4437561253953013, + -2.4615588106093584, + -2.462805479176601, + -2.4475643230157984, + -2.4162434345880546, + -2.3695871658069274, + -2.308664536053045, + -2.23484989648924, + -2.149796246843658, + -2.0554017808931913, + -1.9537704035931167, + -1.8471671120374757, + -1.7379692604969759, + -1.628614833482099, + -1.5215489275264023, + -1.4191696902461675, + -1.3237749829815975, + -1.2375110204733382, + -1.162324197839308, + -1.099917242596699, + -1.0517107293509165, + -1.0188108694519324, + -1.001984340424485, + -1.0016407538817766, + -1.0178231799606976, + -1.0502069554566393, + -1.0981068064250397, + -1.1604921188290593, + -1.2360099976419718, + -1.3230155703539923, + -1.4196088195677123, + -1.5236770754511848, + -1.6329421659837626, + -1.7450111143903977, + -1.8574291915308003, + -1.9677340782469974, + -2.0735098700224395, + -2.1724396642761907, + -2.2623555089643412, + -2.3412845588998135, + -2.4074903816249327, + -2.459508475395202, + -2.4961752048564003, + -2.5166495217769955, + -2.5204270147349424, + -2.507346018597796, + -2.4775857073746135, + -2.431656287820614, + -2.3703816012866845, + -2.2948746230716233, + -2.2065065175166567, + -2.1068700591648164, + -1.9977383618033648, + -1.881019964943558, + -1.7587114086899003, + -1.6328484810898363, + -1.5054573457165008, + -1.37850675093735, + -1.2538624863183885, + -1.1332451869025082, + -1.0181924943864216, + -0.9100264678753457, + -0.8098269988971484, + -0.7184118292191877, + -0.6363235996855633, + -0.5638241780801986, + -0.5008963284583358, + -0.4472525981364828, + -0.40235111625691283, + -0.36541782410700424, + -0.33547449651310995, + -0.31137176965020535, + -0.29182626708915466, + -0.27546081590124627, + -0.26084667061817757, + -0.24654661661294966, + -0.23115780713105977, + -0.21335320014254341, + -0.19192050204854588, + -0.1657975939790869, + -0.13410351118057787, + -0.09616416437742566, + -0.05153213097427566, + -5.123193964678499e-16 + ], + [ + 0, + 0.06070772999554664, + 0.1277789874912215, + 0.20057348261239466, + 0.2782368071160924, + 0.35972423103292983, + 0.44382996474534153, + 0.5292211141982028, + 0.6144754327667938, + 0.6981218719908907, + 0.7786828575160483, + 0.8547171681179845, + 0.924862275888931, + 0.9878750150806562, + 1.0426694855375682, + 1.0883511631942018, + 1.1242462831257363, + 1.1499256778312672, + 1.165222391889602, + 1.1702425504097649, + 1.1653691289033175, + 1.1512584520770528, + 1.1288294340764735, + 1.0992457582587285, + 1.0638913759724327, + 1.0243398764996585, + 0.9823184399096685, + 0.9396672270400827, + 0.8982951825336294, + 0.8601333247023029, + 0.8270866674391376, + 0.8009859625767671, + 0.7835404648275324, + 0.7762929052884145, + 0.780577813754404, + 0.7974842557910837, + 0.827823949417941, + 0.8721056007641861, + 0.9305161512051146, + 1.002909463831903, + 1.0888027986625373, + 1.1873812381276154, + 1.2975100316657768, + 1.4177546354720136, + 1.5464080353024223, + 1.6815247613901227, + 1.8209608393875698, + 1.962418773909324, + 2.1034965353641475, + 2.2417394194719202, + 2.3746935746950637, + 2.499959947648638, + 2.615247381550837, + 2.7184236183595645, + 2.807563001084302, + 2.8809897477956636, + 2.9373157712909337, + 2.9754721457519073, + 2.99473347097768, + 2.994734552277483, + 2.9754789958059926, + 2.93733951060457, + 2.881049905224405, + 2.807688963772384, + 2.7186565787492, + 2.615642701461868, + 2.500589840632847, + 2.3756499919721046, + 2.243137012237899, + 2.105475557522834, + 1.9651477846029688, + 1.8246390642836372, + 1.6863839755824528, + 1.552713838864316, + 1.425807004992722, + 1.3076430472368181, + 1.1999619048412489, + 1.1042289042652618, + 1.0216064391795414, + 0.9529329269606629, + 0.8987094816777189, + 0.859094555804268, + 0.8339066097309692, + 0.8226346743438022, + 0.8244564822209216, + 0.8382636620288819, + 0.8626933228827166, + 0.8961652048573273, + 0.9369234421490628, + 0.9830818797122134, + 1.032671805061197, + 1.0836909061997388, + 1.1341522454707245, + 1.18213204793761, + 1.2258151413895069, + 1.2635369521517166, + 1.2938210548187707, + 1.3154113923823705, + 1.3272984229752611, + 1.328738607042203, + 1.319266820192656, + 1.2987014579624747, + 1.267142184661474, + 1.2249604647433479, + 1.1727831970394704, + 1.1114699452019554, + 1.0420844174891193, + 0.9658609916218401, + 0.8841672023039022, + 0.7984632071200084, + 0.7102593184890628, + 0.6210727334043924, + 0.5323846077866977, + 0.44559860808827956, + 0.3620020297328011, + 0.2827305011928985, + 0.20873719583382644, + 0.1407673535695533, + 0.07933877396018724, + 0.02472878520740443, + -0.023031976421486633, + -0.06415882056988918, + -0.09910531626038212, + -0.12854887248440303, + -0.15336996974531067, + -0.1746255927808832, + -0.19351756704788511, + -0.2113566359951604, + -0.22952322925725382, + -0.24942596077819054, + -0.27245895824384125, + -0.2999591594462602, + -0.33316471641647083, + -0.37317562416541433, + -0.4209176382231223, + -0.47711046514236455, + -0.5422411047038026, + -0.616543094335409, + -0.6999822584267406, + -0.7922494014632225, + -0.8927602083175248, + -1.0006624320094062, + -1.1148502633710562, + -1.2339855930019257, + -1.3565256982981706, + -1.480756721678254, + -1.6048321546150706, + -1.726815409572682, + -1.8447254518141873, + -1.9565843781252816, + -2.0604657719935973, + -2.154542636225672, + -2.2371337051827807, + -2.306746969846857, + -2.362119309119278, + -2.402251208713324, + -2.4264356626381227, + -2.434280488857933, + -2.4257234469414555, + -2.401039717592427, + -2.360841487676006, + -2.306069575228898, + -2.2379772222823338, + -2.158106374382458, + -2.0682569497565906, + -1.9704497736030029, + -1.8668840097092985, + -1.759890058645296, + -1.6518790057223391, + -1.5452897899184184, + -1.442535324825505, + -1.345948832859989, + -1.2577316536933687, + -1.1799037570596016, + -1.1142581294789404, + -1.0623201154375093, + -1.0253126783084408, + -1.0041284075692625, + -0.999308940014949, + -1.0110322875350708, + -1.0391083768661418, + -1.0829829120921761, + -1.1417494732779985, + -1.2141695692794054, + -1.2987001742309054, + -1.393528100047581, + -1.4966103957959098, + -1.6057198229072696, + -1.7184943363640859, + -1.8324894090538577, + -1.9452319716950024, + -2.054274705636112, + -2.157249421231899, + -2.251918280473279, + -2.336221678414714, + -2.408321682285404, + -2.4666400378830122, + -2.509889887175623, + -2.5371004956502112, + -2.5476344590220923, + -2.5411970422391073, + -2.517837494762739, + -2.4779423801893925, + -2.4222211506268154, + -2.3516843821522158, + -2.2676152626073427, + -2.1715350826687474, + -2.0651636216903864, + -1.9503754378526144, + -1.8291531648321295, + -1.7035389823294516, + -1.575585463839023, + -1.4473070112291726, + -1.3206330619643238, + -1.1973642018398958, + -1.0791322353254238, + -0.967365159124485, + -0.8632578550953759, + -0.7677491695341351, + -0.6815058807834854, + -0.6049138803661119, + -0.5380767088012897, + -0.48082140057377803, + -0.4327114080635958, + -0.3930661962348395, + -0.36098693296571827, + -0.33538754823891, + -0.31503030277037725, + -0.2985648963218236, + -0.2845700606384744, + -0.271596523769169, + -0.25821020286580987, + -0.24303448211190687, + -0.22479046114853093, + -0.20233411647112876, + -0.17468940227017227, + -0.14107642591566966, + -0.10093396395309594, + -0.053935733749470964, + -5.344934411386254e-16 + ], + [ + 0, + 0.06294133585385796, + 0.13197901028207656, + 0.20636184032097987, + 0.28513692575109906, + 0.36717653800418176, + 0.4512100493879049, + 0.5358600574058343, + 0.6196817476655808, + 0.7012044519972594, + 0.7789742981755478, + 0.8515968156105127, + 0.917778358394535, + 0.9763652332839994, + 1.0263794749396273, + 1.0670502927138317, + 1.0978403204362421, + 1.1184659303522049, + 1.1289110213856883, + 1.1294338565095918, + 1.120566700097089, + 1.1031081892864054, + 1.0781085590220174, + 1.0468480238708495, + 1.0108087963317438, + 0.9716413867006607, + 0.9311259794362596, + 0.891129811581781, + 0.8535615868040927, + 0.8203240412309811, + 0.7932658323521931, + 0.7741339483288977, + 0.7645278313801688, + 0.7658563754726933, + 0.7792988960608197, + 0.8057710795611857, + 0.8458968047410681, + 0.8999865900301365, + 0.968023263277753, + 1.0496552775048613, + 1.144197911965315, + 1.250642406848499, + 1.3676728869120789, + 1.4936907389801073, + 1.6268459252700822, + 1.765074543442703, + 1.906141789334673, + 2.047689343382924, + 2.187286090137556, + 2.3224809947813654, + 2.4508569033782934, + 2.57008400612164, + 2.6779717058769372, + 2.7725176677974983, + 2.8519528889691204, + 2.9147817184204983, + 2.959815875230777, + 2.9862016530485103, + 2.993439659709726, + 2.981396616921748, + 2.9503089328872454, + 2.9007779557157605, + 2.8337570127693255, + 2.7505305359179846, + 2.6526857603032985, + 2.54207766006247, + 2.4207879442806415, + 2.2910790763352042, + 2.155344396383994, + 2.0160555172109262, + 1.8757082258013982, + 1.7367681553931524, + 1.6016174945848012, + 1.4725039713804644, + 1.3514932915503866, + 1.2404261238684327, + 1.1408806118150718, + 1.0541412550147482, + 0.9811748473838257, + 0.9226139865596523, + 0.878748484912204, + 0.8495248208412304, + 0.83455357484033, + 0.8331246027272065, + 0.8442295131975932, + 0.8665908429822705, + 0.8986971646067684, + 0.9388432229130262, + 0.9851740804551143, + 1.0357321614110342, + 1.0885060209055644, + 1.1414796330711086, + 1.1926809875154085, + 1.2402288101056422, + 1.2823762793660012, + 1.3175506928475273, + 1.344388146408874, + 1.361762420659989, + 1.3688074195242186, + 1.364932672150267, + 1.3498315870566997, + 1.3234823319475009, + 1.2861413994642472, + 1.238330103558561, + 1.1808144285677047, + 1.1145788190307733, + 1.0407946486625284, + 0.9607842379731021, + 0.8759813985418708, + 0.7878895652500807, + 0.6980386338138022, + 0.6079416483875297, + 0.5190524822002108, + 0.43272562324580727, + 0.35017911781710487, + 0.27246163869204937, + 0.200424534274998, + 0.13469958279387878, + 0.07568302513527415, + 0.023526284897936504, + -0.02186639104129605, + -0.06083331927226754, + -0.09394392407820651, + -0.12198074826524245, + -0.14591541072361291, + -0.16687914957263358, + -0.18612873214581035, + -0.2050086355340705, + -0.22491050080131575, + -0.24723093777424232, + -0.2733288035882525, + -0.30448309573526283, + -0.34185258872149954, + -0.3864383028529135, + -0.4390498251005103, + -0.5002764071407853, + -0.5704636468639722, + -0.6496964198468195, + -0.7377885699809593, + -0.8342796975617724, + -0.9384392029526666, + -1.0492775589638628, + -1.1655645999687843, + -1.2858544351838317, + -1.4085164220128865, + -1.5317714772430642, + -1.6537328631835393, + -1.7724504661475227, + -1.8859574890561177, + -1.9923184108634946, + -2.0896770247822936, + -2.176303356039392, + -2.2506382784971266, + -2.3113346975734266, + -2.3572942433917037, + -2.387698521184786, + -2.402034093199784, + -2.400110514630625, + -2.3820709118420194, + -2.3483947703015384, + -2.2998927878235707, + -2.2376938413353287, + -2.163224307667089, + -2.0781801661106143, + -1.9844924880610333, + -1.8842870825672542, + -1.779839212011722, + -1.6735244158091174, + -1.5677665788698203, + -1.464984453139343, + -1.3675378829868068, + -1.2776749974750687, + -1.1974816142434968, + -1.128834051262541, + -1.0733564652100513, + -1.0323837305176629, + -1.0069307437569492, + -0.9976688871004821, + -1.0049102157552168, + -1.0285997516180128, + -1.0683160733796562, + -1.123280196569842, + -1.1923725403736574, + -1.274157586241408, + -1.3669156510216252, + -1.468681029001393, + -1.5772856069271004, + -1.69040692744768, + -1.8056195725847712, + -1.9204486622953645, + -2.0324242157867647, + -2.13913510609254, + -2.238281351899137, + -2.3277235343541904, + -2.405528199476066, + -2.4700082069928264, + -2.5197571114736825, + -2.5536768083774923, + -2.570997842501962, + -2.5712919552070135, + -2.5544766353005595, + -2.5208116319804055, + -2.4708875819727716, + -2.4056070922499218, + -2.326158799820015, + -2.233985096668998, + -2.1307443569470585, + -2.01826863132196, + -1.8985178769904025, + -1.7735318686741306, + -1.6453809842228806, + -1.5161170771052808, + -1.387725636730104, + -1.2620803965872889, + -1.1409014807461297, + -1.0257180831175663, + -0.9178365535568325, + -0.8183146234250843, + -0.7279423442361258, + -0.6472301405072035, + -0.5764041962579053, + -0.5154092083255795, + -0.46391835346018795, + -0.4213501346859294, + -0.3868916002032425, + -0.359527269444366, + -0.33807295973255996, + -0.3212135868284162, + -0.30754391644322815, + -0.2956111739205632, + -0.28395837743044666, + -0.2711672471778972, + -0.25589955956121296, + -0.23693586045195625, + -0.21321052461171436, + -0.18384224682129838, + -0.1481591720423227, + -0.10571801374427198, + -0.05631666779500349, + -5.561808166845126e-16 + ], + [ + 0, + 0.06507370850497066, + 0.13592393405609174, + 0.2116948904443797, + 0.2913432034149159, + 0.3736676568320369, + 0.45734351099324283, + 0.540960482319321, + 0.6230633761970132, + 0.7021942930596196, + 0.7769352837045191, + 0.8459503145147895, + 0.9080254171017438, + 0.9621059396086454, + 1.007329887478306, + 1.0430564381521485, + 1.0688888345401932, + 1.0846910031855224, + 1.0905974013232516, + 1.087015768545751, + 1.0746226392367066, + 1.0543516567988782, + 1.0273749153273992, + 0.9950777341227992, + 0.9590274407595046, + 0.9209368950170852, + 0.8826236248683252, + 0.8459655633599942, + 0.8128544686018716, + 0.7851481757792377, + 0.7646228683661805, + 0.7529265644891475, + 0.751534993352184, + 0.7617109862085296, + 0.7844684277011524, + 0.8205417083553609, + 0.8703614901073006, + 0.9340374471082831, + 1.011348477293501, + 1.1017407004137483, + 1.2043333698012666, + 1.317932632699927, + 1.4410528822689577, + 1.5719452580936701, + 1.7086326758064827, + 1.8489506045987132, + 1.9905926680025792, + 2.1311600219116724, + 2.268213367419442, + 2.3993263871109476, + 2.522139353693756, + 2.6344116503349606, + 2.734071963077009, + 2.819264956779876, + 2.8883933259874226, + 2.9401542190372765, + 2.973569165059012, + 2.9880067860663346, + 2.9831977464541555, + 2.9592415757368147, + 2.9166051928541634, + 2.856113157150842, + 2.7789298674171112, + 2.686534121394381, + 2.58068662925045, + 2.4633912413165526, + 2.3368507987994174, + 2.2034186426356337, + 2.065546917080954, + 1.9257328785755075, + 1.7864644651234383, + 1.6501663958154362, + 1.5191480538916249, + 1.395554360326842, + 1.2813207694964779, + 1.1781334159342074, + 1.087395314071283, + 1.0101993642983262, + 0.9473087523835511, + 0.8991451493156187, + 0.8657849294432691, + 0.846963431005374, + 0.8420870895368328, + 0.8502530859374368, + 0.8702759718128991, + 0.9007205694063857, + 0.9399402960513363, + 0.9861199371585578, + 1.0373217903320087, + 1.091534028706528, + 1.146720085765057, + 1.2008678477581896, + 1.2520374537137557, + 1.2984065464437564, + 1.338311889754456, + 1.37028636536588, + 1.3930904853193966, + 1.4057376987768966, + 1.407512932461771, + 1.3979839775098462, + 1.3770055178182383, + 1.3447157815228692, + 1.3015259833269337, + 1.2481029063899114, + 1.1853451438539517, + 1.1143536775652392, + 1.0363976112315019, + 0.9528759936848565, + 0.865276762172196, + 0.7751339033639277, + 0.6839839694149593, + 0.5933230969957795, + 0.5045656585334494, + 0.41900562749452025, + 0.33778166465729, + 0.261846831901513, + 0.19194371667188317, + 0.12858560710386863, + 0.0720441984892858, + 0.02234414036004386, + -0.020735445660526614, + -0.05765252939813153, + -0.08908705007930443, + -0.11591951653455179, + -0.1392039018356397, + -0.16013555424070275, + -0.1800149775544676, + -0.20020844344601207, + -0.22210648310995001, + -0.2470813637337579, + -0.27644468504226827, + -0.31140623193910033, + -0.3530351908941719, + -0.402224780909718, + -0.45966126602434837, + -0.5257982074581302, + -0.6008366823649092, + -0.6847120460085877, + -0.7770876487681165, + -0.8773557428409401, + -0.9846456302823062, + -1.0978389186900104, + -1.2155915680829825, + -1.3363622369352612, + -1.4584462713506003, + -1.5800145331523316, + -1.6991561339876597, + -1.8139240366938612, + -1.9223824048727196, + -2.0226545289625886, + -2.1129701334947946, + -2.191710876360977, + -2.2574528867498085, + -2.3090052531456733, + -2.3454434649080533, + -2.3661369282740488, + -2.370769817322794, + -2.3593546791226254, + -2.332238386085171, + -2.2901002132266073, + -2.2339420090588544, + -2.165070621509136, + -2.085072929851091, + -1.9957840154469921, + -1.8992491736540082, + -1.7976806223362745, + -1.6934098952458212, + -1.5888370177789224, + -1.4863776455435345, + -1.3884094006963255, + -1.2972186657261724, + -1.2149490886084033, + -1.1435530171111574, + -1.0847470143288716, + -1.0399725138023734, + -1.0103625531021099, + -0.9967153823782032, + -0.9994755825580619, + -1.0187231505192669, + -1.0541708199850321, + -1.1051696916618763, + -1.170723049009171, + -1.2495080417909794, + -1.3399047329350686, + -1.440031829749723, + -1.5477882624652874, + -1.6608996352123306, + -1.776968460263566, + -1.893526998415549, + -2.0080914688866187, + -2.118216362478367, + -2.221547592677355, + -2.3158732507990516, + -2.3991707923886625, + -2.4696495713583078, + -2.525787753532679, + -2.566362779539361, + -2.5904747048966064, + -2.5975619188239905, + -2.5874089284530086, + -2.560146087193058, + -2.5162413402984782, + -2.456484252423455, + -2.381962766454178, + -2.2940333156692096, + -2.194285068095037, + -2.084499218991441, + -1.9666043614122495, + -1.8426290530091505, + -1.714652757590287, + -1.5847563710148729, + -1.4549735421315586, + -1.327243970724782, + -1.2033698066333751, + -1.0849761888800304, + -0.9734768530095621, + -0.8700456017121522, + -0.7755942815901401, + -0.6907577414663564, + -0.6158860691519569, + -0.5510442185796912, + -0.4960189523063089, + -0.45033284027309595, + -0.41326487898523956, + -0.38387713033368054, + -0.3610466302386855, + -0.34350168783844026, + -0.329861589277527, + -0.3186786388916216, + -0.30848141671756996, + -0.2978181060734591, + -0.28529874902128427, + -0.2696353206801378, + -0.24967857470491736, + -0.2244507001818277, + -0.19317294244806013, + -0.15528747404057366, + -0.11047295370249774, + -0.058653377259266934, + -5.771853649180891e-16 + ], + [ + 0, + 0.06708554037388642, + 0.1395780749142009, + 0.21652443556593787, + 0.29679959473933626, + 0.37913900835946684, + 0.46217502409627703, + 0.5444763864007187, + 0.6245897871764559, + 0.7010823550031628, + 0.7725839482414321, + 0.8378281188230363, + 0.8956906440646518, + 0.9452245827072316, + 0.9856908971322665, + 1.016583794217107, + 1.0376500698157485, + 1.048901893083073, + 1.050622633018538, + 1.0433655065279026, + 1.0279450105497883, + 1.0054212857623797, + 0.9770777414174796, + 0.9443924453525968, + 0.9090039457944794, + 0.8726723380674233, + 0.8372365160281151, + 0.8045686517240468, + 0.7765270247415532, + 0.7549083729351986, + 0.7414009573632243, + 0.737539525667028, + 0.7446633199382624, + 0.7638782081645117, + 0.7960239242004693, + 0.8416472821224718, + 0.9009820896612535, + 0.9739363255964801, + 1.060086971432796, + 1.1586827026309376, + 1.2686544536781086, + 1.3886336790452845, + 1.5169779433323896, + 1.6518032933058302, + 1.791022696555296, + 1.9323896803042917, + 2.07354617326143, + 2.2120734465578944, + 2.3455449694606796, + 2.4715799437139894, + 2.5878962583768232, + 2.6923616154957632, + 2.7830416157332727, + 2.858243661273437, + 2.916555629336238, + 2.9568783911504526, + 2.9784513953389955, + 2.980870697876741, + 2.964098999136814, + 2.9284674377196884, + 2.874669086165545, + 2.803744290534524, + 2.717058189414298, + 2.6162709334718963, + 2.503301299694908, + 2.380284550760291, + 2.2495255257316042, + 2.1134480602249655, + 1.9745419195926328, + 1.8353084854929138, + 1.6982064630899787, + 1.5655988724343681, + 1.4397025534415469, + 1.3225413501836318, + 1.21590404853443, + 1.121308023839686, + 1.0399694151297, + 0.972780482912246, + 0.9202946327110902, + 0.8827194005526801, + 0.8599175041196583, + 0.8514158690062521, + 0.8564223481850922, + 0.8738496691039949, + 0.9023459712545354, + 0.9403311417648358, + 0.9860380213301907, + 1.0375574408683963, + 1.09288596335143, + 1.1499751473535766, + 1.2067811203037877, + 1.2613132508437752, + 1.3116807409372946, + 1.356136018576316, + 1.393113899497038, + 1.4212655989887537, + 1.439486809769713, + 1.4469392155893446, + 1.4430649788093104, + 1.427593919468873, + 1.4005432887489422, + 1.362210226666779, + 1.3131571775849278, + 1.2541907131176608, + 1.1863343758834584, + 1.1107963052119787, + 1.028932533711219, + 0.9422069483811845, + 0.8521489891528806, + 0.7603102094091837, + 0.6682208459739624, + 0.5773475397269712, + 0.48905331263897417, + 0.4045608435774171, + 0.32491999536485816, + 0.2509804315995412, + 0.18337002659296844, + 0.12247961889559164, + 0.06845449216494215, + 0.021192790821707125, + -0.01964910348149104, + -0.05464439047985483, + -0.08457719871982987, + -0.11041796469006583, + -0.13329350283269017, + -0.15445256498729135, + -0.17522780676615135, + -0.1969951738417882, + -0.22113179070672068, + -0.24897347635193878, + -0.2817730244129108, + -0.32066036928225744, + -0.3666057148525882, + -0.4203866300226396, + -0.4825600166641859, + -0.5534397338497185, + -0.6330805198182629, + -0.7212686939634465, + -0.8175199490479331, + -0.9210843631953618, + -1.0309585765212785, + -1.145904893184096, + -1.264476890804315, + -1.3850509501317694, + -1.505862962816765, + -1.625049338099549, + -1.7406913136699051, + -1.8508614848310634, + -1.9536714017928418, + -2.047319049115911, + -2.130135015024221, + -2.2006261817541626, + -2.257515820834803, + -2.2997790579819792, + -2.326672779227514, + -2.337759180426899, + -2.3329223132363532, + -2.3123771483511226, + -2.2766708571558154, + -2.2266762015359225, + -2.1635771138056517, + -2.088846739789694, + -2.00421840334219, + -1.9116501254160159, + -1.8132834908791744, + -1.7113977976366326, + -1.6083605417342115, + -1.5065753860168523, + -1.4084288262221036, + -1.3162368054231541, + -1.23219253452188, + -1.1583167528021798, + -1.096411608906186, + -1.0480192602457545, + -1.014386179770731, + -0.9964340258024902, + -0.994737776520483, + -1.0095116593893465, + -1.0406032214877377, + -1.0874956938219547, + -1.1493186059643639, + -1.2248664115318146, + -1.3126246948751754, + -1.4108033495116292, + -1.5173759536694018, + -1.6301244218425168, + -1.7466878870262923, + -1.8646146693319638, + -1.9814161153510692, + -2.094621050669748, + -2.2018295763115407, + -2.3007649588642916, + -2.3893224131203215, + -2.4656136539918054, + -2.5280061993116183, + -2.57515653429205, + -2.606036398695836, + -2.6199516254679, + -2.616553140551724, + -2.595839923421813, + -2.558153921843498, + -2.5041671077690935, + -2.4348610493633593, + -2.3514995523292255, + -2.255595087636873, + -2.148869868465173, + -2.0332125631211007, + -1.910631729930273, + -1.7832071322272462, + -1.6530401349288955, + -1.5222043977736646, + -1.3926980639179285, + -1.2663985967044955, + -1.1450213432933156, + -1.0300828034032061, + -0.9228694572371855, + -0.8244128619173685, + -0.7354715641058803, + -0.6565202020161279, + -0.5877459871138988, + -0.5290525690594734, + -0.48007110152644483, + -0.4401781460945873, + -0.40851988095126124, + -0.3840419248884256, + -0.3655239489264853, + -0.3516181312481178, + -0.34089041885662724, + -0.331863493740185, + -0.3230603039103858, + -0.31304701136541774, + -0.30047422994831846, + -0.2841154756386058, + -0.2629018287216229, + -0.23595190952982156, + -0.20259639441442517, + -0.1623964430867038, + -0.11515556877943113, + -0.06092465473973806, + -5.973166896093736e-16 + ], + [ + 0, + 0.06895858636370204, + 0.1429083328598495, + 0.22080677426153494, + 0.30145677009953686, + 0.3835411613094982, + 0.4656609508989791, + 0.5463759911112874, + 0.6242470921108212, + 0.6978784275336699, + 0.7659591013710956, + 0.8273027588910113, + 0.8808841712293813, + 0.9258717977525278, + 0.9616554304609757, + 0.9878681480852223, + 1.0044019510361504, + 1.0114166084297527, + 1.0093414209983582, + 0.9988697844984528, + 0.9809466226851344, + 0.9567489424021504, + 0.927659941207506, + 0.8952372657229117, + 0.8611761723102878, + 0.8272684768405497, + 0.795358293777933, + 0.7672956536416724, + 0.7448891498192497, + 0.7298587990523155, + 0.7237903037675487, + 0.72809187858324, + 0.7439547483307558, + 0.7723183420576932, + 0.813841098692475, + 0.8688776679630367, + 0.9374631379745864, + 1.0193047522688392, + 1.113781398330283, + 1.2199509608079966, + 1.3365654408223264, + 1.4620935523515668, + 1.594750322544455, + 1.7325330494351787, + 1.8732628122474857, + 2.014630590198213, + 2.1542469289217845, + 2.289694002261596, + 2.4185788535168333, + 2.5385865659206686, + 2.6475321080654335, + 2.7434096263470433, + 2.824438012692512, + 2.889101660544943, + 2.9361854332922697, + 2.9648030043691525, + 2.974417883878096, + 2.964856619001208, + 2.936313840527746, + 2.8893490210123294, + 2.824875006709634, + 2.744138580722654, + 2.648693504002833, + 2.5403666593494676, + 2.421218087031509, + 2.293495845123964, + 2.1595867496058534, + 2.021964145751074, + 1.8831339310261996, + 1.745580088940051, + 1.6117110021410261, + 1.483807791345791, + 1.3639758749724331, + 1.2541008639416305, + 1.1558097990021772, + 1.0704386067856877, + 0.9990064988390724, + 0.9421978688683145, + 0.9003520615121468, + 0.8734611956191297, + 0.8611760308959807, + 0.8628196736831594, + 0.8774087302175296, + 0.9036813386340543, + 0.9401313484500516, + 0.9850477723098486, + 1.036558512823299, + 1.0926772703372527, + 1.1513524677417506, + 1.2105169875616866, + 1.26813750553219, + 1.3222622237755777, + 1.3710658550212147, + 1.4128907857421484, + 1.4462834486357576, + 1.470025060918511, + 1.483156031229347, + 1.4849935008377182, + 1.475141660223294, + 1.4534946655260885, + 1.4202321662589992, + 1.3758076413540847, + 1.3209299204444378, + 1.2565384367860366, + 1.1837729131865182, + 1.103938318890156, + 1.0184660501973226, + 0.9288723778496449, + 0.8367152676869142, + 0.7435507162507287, + 0.6508897490574674, + 0.5601572061053938, + 0.4726533874664883, + 0.38951955290817963, + 0.31170816543966307, + 0.23995864215778073, + 0.17477923001646423, + 0.11643546287965285, + 0.06494548354619559, + 0.020082334745991096, + -0.018616859036865094, + -0.05183507703264444, + -0.08045338630390604, + -0.1055233179776993, + -0.1282343759178826, + -0.1498775460472136, + -0.17180578018269743, + -0.1953925089780281, + -0.22198929230736514, + -0.2528837407876567, + -0.2892588384489662, + -0.33215476388160803, + -0.382434246303497, + -0.4407524053999841, + -0.5075319116643321, + -0.5829441701026945, + -0.6668970779060642, + -0.7590297398435623, + -0.8587143478793965, + -0.965065248310402, + -1.076955035169856, + -1.1930373273960289, + -1.3117757138953898, + -1.4314781895275215, + -1.5503362602891628, + -1.6664677712654203, + -1.7779624094406041, + -1.88292875783818, + -1.9795417296690587, + -2.0660891924980365, + -2.1410166034556783, + -2.2029685170538453, + -2.250825896298789, + -2.283738253913688, + -2.3011497712853206, + -2.3028186853211574, + -2.288829394280418, + -2.2595969089001686, + -2.2158634604848815, + -2.1586872685147696, + -2.089423662057544, + -2.0096989371119593, + -1.9213775113274751, + -1.8265231038916738, + -1.7273548176263749, + -1.6261991287685318, + -1.525438894323336, + -1.427460564641419, + -1.3346008380167294, + -1.2490940133565298, + -1.1730212858013553, + -1.1082631887803713, + -1.056456315328142, + -1.0189553532340105, + -0.9968013450966603, + -0.990696938586294, + -1.0009892276980177, + -1.027660606496738, + -1.0703278671562473, + -1.1282495785907334, + -1.2003415854183055, + -1.2852002741635205, + -1.3811330691901964, + -1.486195449342054, + -1.5982336218277016, + -1.7149318562694882, + -1.8338633722851487, + -1.9525435911385454, + -2.0684845078780114, + -2.1792489162711592, + -2.282503225300172, + -2.376067642811287, + -2.457962568180238, + -2.526450129906877, + -2.5800699235526205, + -2.6176681474276693, + -2.6384194944177337, + -2.641841334347785, + -2.627799907985004, + -2.5965084466010246, + -2.548517325218209, + -2.4846965485030967, + -2.406211051080802, + -2.31448946437138, + -2.2111871557530423, + -2.0981444792151347, + -1.9773412864627522, + -1.8508488310485514, + -1.720780253561698, + -1.5892408619246725, + -1.458279416890842, + -1.3298415990979386, + -1.2057267714489266, + -1.0875490608095233, + -0.9767036683473477, + -0.8743391812205313, + -0.7813365032208555, + -0.6982948523059053, + -0.6255250929882553, + -0.5630504858055111, + -0.5106147492244587, + -0.4676971460059496, + -0.43353413084532477, + -0.4071469333654728, + -0.38737430431464537, + -0.3729095267268974, + -0.3623406909468952, + -0.3541931553231521, + -0.3469730649050709, + -0.3392107798147823, + -0.329503073555658, + -0.31655299908212203, + -0.2992063859797268, + -0.27648402387916116, + -0.24760870288453257, + -0.21202641836862018, + -0.16942120148682482, + -0.1197232042628399, + -0.06310984484180572, + -6.163919815048678e-16 + ], + [ + 0, + 0.07067583798832583, + 0.14588450691536492, + 0.22450311583667845, + 0.3052725817926329, + 0.3868342965244368, + 0.46776974677520067, + 0.546642030382914, + 0.622038158813995, + 0.6926110136461597, + 0.7571198304022406, + 0.8144681179457225, + 0.8637379845292436, + 0.9042199309865815, + 0.9354372852549463, + 0.9571645875720233, + 0.9694393889319411, + 0.9725670928677337, + 0.9671186481528204, + 0.9539210831197057, + 0.934041056372137, + 0.908761779076778, + 0.8795538362049741, + 0.8480405936951413, + 0.8159590214691869, + 0.7851168849181016, + 0.757347356728372, + 0.7344621741871993, + 0.7182045124595856, + 0.7102027605458519, + 0.7119263732001487, + 0.7246449292530113, + 0.7493914555013481, + 0.7869309772850777, + 0.8377351344082828, + 0.9019635571439693, + 0.9794525351847576, + 1.0697113365203479, + 1.171926347645811, + 1.284973015792084, + 1.4074353827181318, + 1.5376328127307166, + 1.6736533396245847, + 1.8133928925746372, + 1.9545995137541543, + 2.094921554269775, + 2.2319587330523705, + 2.3633148681894394, + 2.486651043740111, + 2.5997379585454885, + 2.7005062174085355, + 2.7870933689955715, + 2.8578865678925607, + 2.911559838703741, + 2.947105045504086, + 2.9638558173312988, + 2.9615038461665906, + 2.9401071539913906, + 2.9000901156487027, + 2.8422352197640444, + 2.7676667461382265, + 2.6778267300411986, + 2.5744437670410805, + 2.45949538193792, + 2.335164837904841, + 2.20379339336259, + 2.0678291212372155, + 1.9297734854796669, + 1.7921269211252375, + 1.6573346855106603, + 1.5277342390551365, + 1.4055053745043407, + 1.2926242447313796, + 1.1908223428000773, + 1.10155136641244, + 1.025954755087254, + 0.9648465259942576, + 0.9186978572950986, + 0.8876316804688572, + 0.8714253500233545, + 0.8695212649437767, + 0.8810451259533644, + 0.9048313308022696, + 0.9394548407900362, + 0.9832686996699175, + 1.0344462546595614, + 1.091027021656929, + 1.1509650555039623, + 1.2121786331690176, + 1.2726000342455261, + 1.3302242096706913, + 1.3831551657939924, + 1.4296489558759948, + 1.4681522630698258, + 1.4973356755614484, + 1.516120892845596, + 1.5237012585859913, + 1.5195551862021144, + 1.5034522239467745, + 1.4754516922583851, + 1.4358940129342548, + 1.385385032513206, + 1.3247738166223073, + 1.2551245535992317, + 1.1776833504434732, + 1.0938408284992736, + 1.0050915271702991, + 0.9129911989430046, + 0.8191131262379633, + 0.7250046089994159, + 0.6321447610816177, + 0.5419047137384927, + 0.4555112569377766, + 0.3740148555668143, + 0.298262860291286, + 0.2288785948788829, + 0.1662468467317362, + 0.11050611913537939, + 0.061547826607777766, + 0.019022433219228273, + -0.017647647539671088, + -0.049248749239410736, + -0.07675077041890808, + -0.10127679263759558, + -0.12406831359673921, + -0.14644702556326164, + -0.16977416080711427, + -0.19540849107568878, + -0.22466410560004527, + -0.2587691007826281, + -0.29882629430494656, + -0.3457770273985062, + -0.4003690426456099, + -0.46312932281152713, + -0.5343426513925315, + -0.6140365109127072, + -0.7019727741362519, + -0.7976464703141362, + -0.900291727699557, + -1.008894809394331, + -1.1222139767671948, + -1.2388057378284503, + -1.3570568715252218, + -1.4752214671574018, + -1.5914620848662278, + -1.7038940318202422, + -1.8106316621808822, + -1.9098355494217947, + -1.9997593486826222, + -2.0787951654277035, + -2.145516274888941, + -2.1987160939973465, + -2.2374423924229885, + -2.2610258399297134, + -2.269102120847298, + -2.2616269998300647, + -2.2388838924696346, + -2.2014836756162133, + -2.1503566609894493, + -2.086736847184074, + -2.012138754775411, + -1.9283273322212056, + -1.8372815921081518, + -1.7411527937389328, + -1.6422181252057206, + -1.5428309525237374, + -1.4453687922328637, + -1.3521802248711698, + -1.2655319983168318, + -1.1875575713419717, + -1.1202083187222796, + -1.06520856054543, + -1.024015491334955, + -0.9977849713273333, + -0.9873440054288494, + -0.9931705783349788, + -1.0153813408187589, + -1.053727456491274, + -1.1075987249159205, + -1.1760359005191532, + -1.257750932061255, + -1.3511546592473949, + -1.4543913259507157, + -1.5653791077933574, + -1.6818557094211204, + -1.801427967171469, + -1.921624298874702, + -2.0399487765162316, + -2.153935561011136, + -2.2612024322642257, + -2.359502172127584, + -2.446770612195136, + -2.5211702412290493, + -2.5811283763382487, + -2.625369035120622, + -2.6529377995535306, + -2.6632191326900214, + -2.6559457920042795, + -2.6312001740412705, + -2.589407619184488, + -2.53132189810949, + -2.458003288129246, + -2.370789823608662, + -2.2712624656493006, + -2.1612050784162684, + -2.042560219364783, + -1.9173818453475104, + -1.7877861038947742, + -1.6559014172893671, + -1.5238190755560082, + -1.3935455330410962, + -1.2669575525013386, + -1.1457612619033193, + -1.0314560845034833, + -0.9253043749092891, + -0.828307445968477, + -0.7411885072338389, + -0.6643828595394253, + -0.598035506327024, + -0.5420061553862927, + -0.4958813992912398, + -0.45899368365389165, + -0.4304465038312187, + -0.409145117096476, + -0.3938319223241053, + -0.38312554626728473, + -0.37556258730161873, + -0.3696409062152368, + -0.3638633207145358, + -0.3567805565424396, + -0.34703233349675533, + -0.33338551848297865, + -0.31476835861845437, + -0.2902999132256654, + -0.25931393159044797, + -0.2213765703392936, + -0.17629750645906134, + -0.1241341752139477, + -0.06518904210514488, + -6.342377667793834e-16 + ], + [ + 0, + 0.07222168509187751, + 0.14847958124161675, + 0.22757994607920434, + 0.3082124587357634, + 0.38898857571944784, + 0.4684822458486646, + 0.5452718954003763, + 0.6179825593730971, + 0.6853270283248826, + 0.7461449028170299, + 0.7994384985346207, + 0.8444046234081827, + 0.8804613515829938, + 0.9072690452921067, + 0.9247450214303905, + 0.9330714212487614, + 0.9326960150350831, + 0.9243258545625064, + 0.9089138699145837, + 0.8876386894059215, + 0.861878137109218, + 0.8331770275262587, + 0.8032100270153273, + 0.773740482890539, + 0.7465762302822019, + 0.7235234710806205, + 0.7063398763856737, + 0.6966880923312018, + 0.6960908281389955, + 0.7058886747077097, + 0.7272017426191264, + 0.7608961215307702, + 0.8075560505902506, + 0.8674625544604478, + 0.9405791450641546, + 1.0265450190106065, + 1.124675999020593, + 1.2339732789821447, + 1.353139841190255, + 1.480604225566372, + 1.614551148883774, + 1.7529583017481, + 1.8936384965280233, + 2.034286204449523, + 2.1725274080333814, + 2.3059716087845126, + 2.4322647717192907, + 2.549141959444132, + 2.654478409854058, + 2.7463378431401546, + 2.823016844972003, + 2.8830842620205, + 2.9254146612801586, + 2.9492150431697555, + 2.954044156794503, + 2.9398239402090502, + 2.906842794798758, + 2.855750596473725, + 2.7875455425407663, + 2.703553127111469, + 2.6053977249990083, + 2.49496743969927, + 2.374373030968774, + 2.2459018778132127, + 2.111968049976238, + 1.9750596524227404, + 1.837684670632073, + 1.7023165782307517, + 1.5713409718024771, + 1.4470044705623475, + 1.3313670616638502, + 1.2262589866425193, + 1.133243153002507, + 1.053583919976274, + 0.9882229523599126, + 0.9377626648641114, + 0.9024575958361629, + 0.882213858005751, + 0.8765966197711959, + 0.8848453782226176, + 0.9058965992910133, + 0.9384131256462845, + 0.9808195934918846, + 1.0313429590838743, + 1.0880571180236598, + 1.1489305079602774, + 1.2118755204824865, + 1.2747985121914984, + 1.3356491990094503, + 1.3924682417452625, + 1.4434318841174425, + 1.4868925854109174, + 1.5214146966252355, + 1.5458043586257044, + 1.5591329501450772, + 1.5607535787283835, + 1.5503102847081225, + 1.5277398125994845, + 1.4932659913021356, + 1.4473869495161473, + 1.3908555712142385, + 1.32465376342422, + 1.2499612608122816, + 1.1681198248550628, + 1.0805938064624105, + 0.9889281270416942, + 0.8947047920857163, + 0.7994990820079628, + 0.7048365664440218, + 0.6121520606215526, + 0.5227515864379243, + 0.4377783180495746, + 0.35818338421802853, + 0.2847022701400943, + 0.21783741332846965, + 0.15784742508356314, + 0.10474319535730076, + 0.05829095877108148, + 0.01802221778380205, + -0.016749759876264477, + -0.04690732386310397, + -0.07350031798764685, + -0.09771320902753035, + -0.12082834988546393, + -0.1441863611794256, + -0.16914469189498038, + -0.19703546909859762, + -0.22912376762924164, + -0.26656742259816746, + -0.31037947060878185, + -0.3613942407608223, + -0.4202380253314459, + -0.48730514479988957, + -0.5627400854797827, + -0.6464262338580384, + -0.7379815636766177, + -0.8367614540533782, + -0.9418686339903443, + -1.0521700650693875, + -1.16632039461681, + -1.2827914406672465, + -1.3999070120040176, + -1.5158822254139166, + -1.6288663616691461, + -1.736988204731899, + -1.8384027377779038, + -1.9313380267161246, + -2.014141108110876, + -2.085321714231794, + -2.1435927130722634, + -2.187906214562504, + -2.217484394127615, + -2.2318442088073245, + -2.2308153263607147, + -2.2145507505914077, + -2.183529802567021, + -2.1385533031443873, + -2.080730992682081, + -2.011461414329767, + -1.9324046731241842, + -1.8454486596940798, + -1.752669490300129, + -1.6562870601581097, + -1.5586167308909498, + -1.4620182724224524, + -1.3688432521544587, + -1.2813821080111059, + -1.2018121557443384, + -1.1321477643659217, + -1.0741938870387386, + -1.0295040592991171, + -0.9993438738789253, + -0.9846608141065825, + -0.9860611789546609, + -1.0037946658660426, + -1.0377469965748447, + -1.0874407806321607, + -1.1520446158786546, + -1.2303902294291145, + -1.3209972716089462, + -1.4221051933604423, + -1.5317114693451896, + -1.647615278402198, + -1.7674656238411095, + -1.8888127713928067, + -2.0091618050432176, + -2.1260270523135696, + -2.236986111986451, + -2.3397322292395897, + -2.4321238053171337, + -2.5122299001828226, + -2.5783706852870254, + -2.629151927199155, + -2.6634927283583925, + -2.680645914995716, + -2.6802106403519463, + -2.662136959288083, + -2.626722323646659, + -2.574600141544996, + -2.5067207334251758, + -2.4243251985242154, + -2.3289128730588593, + -2.2222032117731287, + -2.106093053936596, + -1.9826103402930033, + -1.8538654263265848, + -1.722001187680776, + -1.5891431344797033, + -1.4573507422479408, + -1.32857116842031, + -1.204596456136175, + -1.0870252328813357, + -0.9772297929960795, + -0.8763293131296932, + -0.7851697919336862, + -0.7043111336268217, + -0.6340216138483652, + -0.5742797799838752, + -0.5247836515568106, + -0.4849669039836751, + -0.45402154552856516, + -0.43092643697210925, + -0.4144808603006208, + -0.4033422201589938, + -0.39606686290755255, + -0.39115292529330453, + -0.3870840797476127, + -0.3823730272126758, + -0.3756036015104687, + -0.36547039119862407, + -0.3508148544846523, + -0.3306569982758385, + -0.3042218113624574, + -0.2709597810169943, + -0.23056097838353312, + -0.18296236695227283, + -0.12834816586787845, + -0.06714328129962494, + -6.506915612942914e-16 + ], + [ + 0, + 0.07358206353148818, + 0.15066997939661228, + 0.23000934037892476, + 0.31024972576644144, + 0.3899844111217896, + 0.4677918238836619, + 0.5422776343846568, + 0.6121163531714686, + 0.6760913157839148, + 0.7331319751563795, + 0.7823474885917702, + 0.8230556791664128, + 0.8548065681375789, + 0.8773998125250047, + 0.8908955370763034, + 0.8956182184131085, + 0.8921534570535695, + 0.8813376557408242, + 0.8642408054710917, + 0.8421427591907198, + 0.8165035428026078, + 0.7889284095879043, + 0.7611284834308043, + 0.7348779547774019, + 0.7119688880209061, + 0.6941647675307793, + 0.6831539500292559, + 0.6805042023584981, + 0.6876194854941983, + 0.7057000983013811, + 0.7357072190783541, + 0.778332781180442, + 0.8339754934004844, + 0.9027236693514686, + 0.9843453664159992, + 1.0782861579020457, + 1.1836746762169523, + 1.2993358747150114, + 1.4238117660784402, + 1.555389210349342, + 1.6921341506180545, + 1.8319315332399073, + 1.97253000631003, + 2.111590368550411, + 2.2467366438061, + 2.375608586457605, + 2.4959143820214575, + 2.6054822961100452, + 2.7023100440997627, + 2.784610702913612, + 2.8508540641255253, + 2.899802432296167, + 2.930540001547511, + 2.9424950937681547, + 2.9354547098790493, + 2.9095710272093687, + 2.865359666827093, + 2.8036897500023494, + 2.7257659581032008, + 2.6331030003849767, + 2.527493074706509, + 2.410967072793588, + 2.285750430217013, + 2.154214648146046, + 2.0188256160941025, + 1.882089939814316, + 1.7465005244166636, + 1.6144826785656965, + 1.4883419909160196, + 1.3702151851361488, + 1.2620250860812046, + 1.1654407287314938, + 1.0818435159108704, + 1.0123001836313503, + 0.9575431677993642, + 0.9179587870203115, + 0.8935834677434477, + 0.8841080446168763, + 0.888889975404075, + 0.9069731208765028, + 0.9371145603487848, + 0.9778177473372778, + 1.0273711612317047, + 1.0838914834646656, + 1.1453702235084398, + 1.2097226435822108, + 1.274837783011863, + 1.338628364838199, + 1.3990793788741371, + 1.4542941765830684, + 1.5025369827748634, + 1.542270825377522, + 1.5721900049703152, + 1.5912463672946682, + 1.5986688010118602, + 1.5939755555454096, + 1.5769791555976704, + 1.547783875313395, + 1.5067759214216587, + 1.4546066563763886, + 1.3921693650162097, + 1.3205702272967559, + 1.2410943012782794, + 1.155167441286316, + 1.0643151730404028, + 0.9701196182046272, + 0.8741756035536781, + 0.7780471037708584, + 0.6832251515276315, + 0.5910883043977088, + 0.5028666865117817, + 0.41961052553086625, + 0.3421639850181757, + 0.2711449517113362, + 0.20693128012953993, + 0.14965382739563352, + 0.09919643342274435, + 0.05520282022288102, + 0.017090203643504196, + -0.01593076409653429, + -0.044830267683113656, + -0.0707285152551351, + -0.0948606685741214, + -0.11853845872141087, + -0.14310951661965937, + -0.16991550867292537, + -0.20025020086274695, + -0.23531857886859128, + -0.2761981270676187, + -0.3238033162078974, + -0.37885426945237277, + -0.4418504713515439, + -0.5130502567468362, + -0.5924566698269812, + -0.6798101212369562, + -0.774588097349314, + -0.8760119949213476, + -0.9830609709337184, + -1.0944925160630552, + -1.2088692855642869, + -1.3245915577508303, + -1.4399345419143021, + -1.5530896281990745, + -1.662208564949979, + -1.765449467141237, + -1.861023504806981, + -1.9472410943877911, + -2.0225564193305177, + -2.0856091391430915, + -2.13526220769166, + -2.170634810395598, + -2.1911295440055882, + -2.196453099088847, + -2.186629860877856, + -2.1620080149666796, + -2.1232579262757914, + -2.071362748280782, + -2.0076014100662434, + -1.9335243166177247, + -1.8509222782530297, + -1.7617893537427385, + -1.6682804442849613, + -1.5726646082750524, + -1.4772751764237297, + -1.384457830467419, + -1.2965178643578192, + -1.2156678729761625, + -1.1439771093762396, + -1.0833237173474342, + -1.0353509824736893, + -1.0014286533403318, + -0.9826202672890763, + -0.9796572749578806, + -0.9929205981483684, + -1.0224300802030657, + -1.067842101300383, + -1.128455437422575, + -1.203225245928838, + -1.2907848674362676, + -1.3894749477788118, + -1.4973792097049485, + -1.6123660459273856, + -1.732134966997967, + -1.8542668226081795, + -1.9762766260986564, + -2.095667751351806, + -2.209986240300078, + -2.3168739587418603, + -2.4141193680068356, + -2.4997047394969107, + -2.5718487267682675, + -2.629043323445079, + -2.670084372063258, + -2.694094945564889, + -2.7005410957501064, + -2.689239647306468, + -2.660357907557291, + -2.614405356110478, + -2.5522175704039123, + -2.4749328280507523, + -2.3839620003833972, + -2.280952509462778, + -2.1677472592363256, + -2.046339567155601, + -1.918825212633346, + -1.7873527810953591, + -1.6540735156176705, + -1.5210918915091791, + -1.3904181027184852, + -1.263923593362274, + -1.1433006844612743, + -1.0300272372781407, + -0.9253371632560712, + -0.830197439789482, + -0.7452921247241389, + -0.6710136847667824, + -0.6074617683391241, + -0.5544493664566283, + -0.5115161206140036, + -0.4779483590125663, + -0.45280527618296407, + -0.4349505202598268, + -0.4230883205777174, + -0.4158031791178295, + -0.41160206531232746, + -0.4089579968447739, + -0.40635386072439816, + -0.40232532969610246, + -0.3955017588831381, + -0.38464400562287054, + -0.36867820021889824, + -0.3467246045979228, + -0.3181208268175848, + -0.2824388086711467, + -0.2394951674680393, + -0.1893546472661827, + -0.1323266149658324, + -0.06895471817307579, + -6.65603414021828e-16 + ], + [ + 0, + 0.0747445873466161, + 0.15243578420018497, + 0.2317692211121555, + 0.3113658444096506, + 0.38981263339317096, + 0.4657044369965594, + 0.5376858075648971, + 0.6044917073754935, + 0.6649859903667943, + 0.7181966165961248, + 0.7633466388547097, + 0.7998801075849786, + 0.8274821691017755, + 0.8460927798866794, + 0.8559136226944847, + 0.857407984287252, + 0.8512935354135746, + 0.8385281366228178, + 0.8202889740284434, + 0.7979455026474689, + 0.7730268370490787, + 0.7471843756270155, + 0.722150572131861, + 0.699694872900051, + 0.6815779177933037, + 0.6695051551374394, + 0.6650810445240815, + 0.6697650155272632, + 0.6848303152367022, + 0.7113268137997598, + 0.7500487463880635, + 0.8015082543333942, + 0.8659154504064771, + 0.9431655766936979, + 1.0328336520862007, + 1.1341768242384154, + 1.2461444524595084, + 1.3673957580170437, + 1.4963246914525543, + 1.6310914873625946, + 1.7696602101334677, + 1.9098414434890223, + 2.049339146179218, + 2.185800588974492, + 2.3168682070392523, + 2.4402321488007908, + 2.553682278982141, + 2.655158400178845, + 2.7427974941390603, + 2.814976849922916, + 2.8703520398193523, + 2.907888823053322, + 2.9268881990612234, + 2.927003993028079, + 2.908252532571928, + 2.871014161656231, + 2.8160265314631285, + 2.744369803360381, + 2.657444091487836, + 2.556939657191304, + 2.444800540044708, + 2.3231824663241345, + 2.194406011728953, + 2.060906107578255, + 1.9251790659133088, + 1.7897283568187812, + 1.6570103994407628, + 1.5293816259600026, + 1.4090480452496843, + 1.2980184709264864, + 1.198062488530606, + 1.1106741208677906, + 1.0370420119649, + 0.9780267920389702, + 0.9341461122402704, + 0.9055676529621326, + 0.8921102177465153, + 0.8932528309468395, + 0.908151566075933, + 0.9356636478322207, + 0.9743781986398625, + 1.0226528443395264, + 1.0786552572070986, + 1.140408601046184, + 1.205839755411957, + 1.2728291361542166, + 1.3392608988018095, + 1.4030723105112162, + 1.4623011052924137, + 1.5151296951931326, + 1.559925195541565, + 1.5952743330152253, + 1.6200124383976993, + 1.6332458780339592, + 1.6343674453626083, + 1.6230644122849167, + 1.599319125056977, + 1.5634022162414845, + 1.5158586883709024, + 1.4574873017739622, + 1.3893138641146918, + 1.3125591685009874, + 1.2286024568540446, + 1.1389413924005307, + 1.0451496070387005, + 0.9488329439572053, + 0.8515855419563619, + 0.7549469048588159, + 0.6603610673527951, + 0.5691389084661649, + 0.4824245772057812, + 0.4011668839599757, + 0.3260963789045679, + 0.25770868826084903, + 0.19625451466314564, + 0.1417365332924015, + 0.09391323525663536, + 0.05230958852193492, + 0.01623420911310719, + -0.015197434187660846, + -0.043034415517693624, + -0.0684571225917115, + -0.0927402977399718, + -0.11721334251673893, + -0.14321895137152943, + -0.17207118484611555, + -0.20501410924392888, + -0.24318211727762734, + -0.2875630031260594, + -0.3389647966362693, + -0.39798726679845997, + -0.4649988864650783, + -0.5401199115376857, + -0.623212071986698, + -0.7138752030140174, + -0.8114509666683829, + -0.9150336317603373, + -1.0234876975993146, + -1.1354719694944593, + -1.2494695256170822, + -1.3638228599862512, + -1.4767733489484123, + -1.5865040720868608, + -1.6911849260083045, + -1.7890189033097879, + -1.8782883709740463, + -1.9574001735201145, + -2.024928406769449, + -2.0796537576609477, + -2.1205983830218367, + -2.147055403737545, + -2.1586122178714664, + -2.155166983881631, + -2.1369377895658044, + -2.1044641997115834, + -2.0586010612772507, + -2.000504634705265, + -1.9316113089883564, + -1.853609341691695, + -1.768404238731263, + -1.6780785480035525, + -1.5848469819843325, + -1.491007903637189, + -1.3988923043999233, + -1.3108114702579428, + -1.2290045702440107, + -1.1555874101080428, + -1.092503572097896, + -1.0414791102455787, + -1.0039818904570303, + -0.9811865579561055, + -0.9739459837900319, + -0.982769890314868, + -1.0078111865138406, + -1.0488603617548202, + -1.105348095589297, + -1.1763560460758593, + -1.2606355846229096, + -1.3566340562221644, + -1.4625279647916898, + -1.5762623185277178, + -1.6955952236920748, + -1.8181466907012025, + -1.941450516763353, + -2.0630080370501576, + -2.180342493236429, + -2.291052755232917, + -2.3928651493680295, + -2.48368219369843, + -2.561627117362102, + -2.625083144045013, + -2.6727266471684206, + -2.7035534331790294, + -2.71689757568195, + -2.712442403012814, + -2.69022343079126, + -2.650623224406607, + -2.594358369528306, + -2.52245891689288, + -2.4362408462097402, + -2.3372722587071877, + -2.2273341546137986, + -2.1083767771936146, + -1.9824726058149111, + -1.851767154529366, + -1.7184287780355323, + -1.584598702670501, + -1.4523424859229472, + -1.3236040643356184, + -1.2001634777382075, + -1.0835992593935064, + -0.9752563593704934, + -0.8762203253847334, + -0.7872983050837241, + -0.709007260336145, + -0.6415696018599168, + -0.5849162660534027, + -0.5386970698317773, + -0.5022979982503902, + -0.4748649082165002, + -0.455332973900847, + -0.4424610594583098, + -0.4348700858002116, + -0.43108436334260986, + -0.42957479419129657, + -0.428802806757729, + -0.42726387426982654, + -0.4235294862600174, + -0.4162864883622549, + -0.40437277939480315, + -0.38680845382615237, + -0.36282159976053857, + -0.33186810440794756, + -0.2936449769989774, + -0.24809686924270735, + -0.19541565137998665, + -0.13603308313667767, + -0.07060679883360586, + -6.788373241547723e-16 + ], + [ + 0, + 0.07569866409975042, + 0.15376092102971542, + 0.23284355676771024, + 0.31155057279012655, + 0.38847455628529975, + 0.4622385359793738, + 0.5315371990207443, + 0.5951763589669321, + 0.6521096080376013, + 0.7014711573720481, + 0.7426039652992383, + 0.7750823731850751, + 0.7987286082682041, + 0.8136226695216152, + 0.8201052820455376, + 0.81877378354273, + 0.8104709885637038, + 0.7962672578409712, + 0.7774361765677898, + 0.7554244124483532, + 0.7318164775155295, + 0.7082952531802623, + 0.6865992522813168, + 0.6684776821063186, + 0.6556444361138337, + 0.6497321777171399, + 0.6522476860088872, + 0.6645296104527176, + 0.6877097298168321, + 0.7226787311711959, + 0.7700574195037883, + 0.8301741399686541, + 0.9030490460815009, + 0.9883856819577032, + 1.0855701689924742, + 1.1936781015823952, + 1.3114890671613737, + 1.437508517650111, + 1.56999653705589, + 1.7070028779349498, + 1.8464074820227212, + 1.9859655614754481, + 2.1233562003276467, + 2.2562333438940363, + 2.3822779792627373, + 2.4992502744002207, + 2.6050404376692433, + 2.697717083965026, + 2.775571947677726, + 2.837159865036953, + 2.8813330571344045, + 2.9072688774497757, + 2.914490340831369, + 2.9028789209052315, + 2.872679285685127, + 2.824495832292687, + 2.7592810765264226, + 2.6783161467994834, + 2.583183819980882, + 2.4757347143436497, + 2.3580474178174446, + 2.232383474091667, + 2.101138271302716, + 1.9667889750923895, + 1.8318407173852678, + 1.6987722926162763, + 1.5699826233748573, + 1.447739237287193, + 1.3341299469440338, + 1.231018846041614, + 1.1400076295792128, + 1.0624031165440302, + 0.999191703194288, + 0.9510213075164766, + 0.9181911847918247, + 0.9006498048861076, + 0.898000788508981, + 0.9095167069999426, + 0.934160362890188, + 0.9706129911258788, + 1.0173086577298396, + 1.0724739877786675, + 1.1341722313792626, + 1.200350577800462, + 1.2688895563968043, + 1.3376533201270626, + 1.4045395942843197, + 1.4675280897479104, + 1.5247262261331835, + 1.5744110844212411, + 1.615066609072955, + 1.6454152037010528, + 1.664443008942541, + 1.67141831259236, + 1.6659027162695261, + 1.6477548655227852, + 1.617126736778369, + 1.5744526602365927, + 1.5204314381160182, + 1.4560020880477293, + 1.3823138977182616, + 1.3006916151891295, + 1.2125967162810922, + 1.1195857831404137, + 1.0232670943515778, + 0.9252565651418017, + 0.8271341854578398, + 0.7304020838321205, + 0.636445296568866, + 0.5464962461618049, + 0.46160383197399596, + 0.38260791266899236, + 0.31011981684828865, + 0.24450935947515293, + 0.18589867099595778, + 0.13416296794557064, + 0.0889382127648318, + 0.04963543115756356, + 0.015461282118370364, + -0.014555686841723451, + -0.04153381463832999, + -0.06670297652855761, + -0.09136606149969533, + -0.11685831286268186, + -0.14450562442448917, + -0.17558291322487374, + -0.21127368966244092, + -0.25263191688737807, + -0.30054719431356464, + -0.3557142164190507, + -0.4186073497514737, + -0.4894610409449275, + -0.5682566198510905, + -0.6547158983254924, + -0.7483017909036422, + -0.8482260029406893, + -0.9534636493277338, + -1.0627744872454212, + -1.1747302741150785, + -1.2877476013267457, + -1.400125409543153, + -1.5100862660907113, + -1.6158203823641504, + -1.7155312719385054, + -1.8074819002201654, + -1.8900401553164319, + -1.9617224779841518, + -2.021234525925589, + -2.0675078134960208, + -2.0997313605258685, + -2.1173775012205263, + -2.1202211431454696, + -2.1083519237460617, + -2.0821788838387065, + -2.042427459820419, + -1.99012878448916, + -1.9266014757043994, + -1.8534262779629551, + -1.7724140997122682, + -1.6855681544550782, + -1.595041062299674, + -1.503087896864064, + -1.4120162671315464, + -1.3241346023356062, + -1.2416998582210077, + -1.1668658837747707, + -1.1016336781600293, + -1.0478047282713259, + -1.0069385489543612, + -0.9803154521038893, + -0.9689054498557502, + -0.973344053829464, + -0.993915570313202, + -1.0305443143361332, + -1.0827939780358498, + -1.1498751951569104, + -1.230661148618244, + -1.3237108766062156, + -1.427299749249907, + -1.539456417083566, + -1.658005378360639, + -1.780614178609413, + -1.9048441458656635, + -2.02820348145793, + -2.148201471082905, + -2.26240255552458, + -2.3684790053441342, + -2.464260979057912, + -2.547782808848916, + -2.617324450124764, + -2.6714471489673057, + -2.7090225218178263, + -2.729254401159799, + -2.7316929755859616, + -2.7162409381869916, + -2.6831515491320133, + -2.633018711932567, + -2.5667593534626936, + -2.4855885807015827, + -2.3909882579211743, + -2.284669802513977, + -2.1685321321090654, + -2.0446158068186544, + -1.9150544957342068, + -1.7820249541339805, + -1.6476967259499031, + -1.5141827842711193, + -1.3834922911733911, + -1.2574865978302798, + -1.137839518266269, + -1.026002797507899, + -0.9231775601437487, + -0.8302923718273568, + -0.7479883779141842, + -0.6766118044403457, + -0.6162139215071603, + -0.5665583824539445, + -0.5271356686327485, + -0.49718419370544975, + -0.4757174575268429, + -0.4615564919092631, + -0.45336671252661637, + -0.4496981860504271, + -0.449028241881968, + -0.4498053054762717, + -0.4504928064813204, + -0.4496120202568652, + -0.44578273557973236, + -0.43776070355032803, + -0.4244709112525713, + -0.4050358362931874, + -0.3787979720626415, + -0.3453360649982166, + -0.3044746704284101, + -0.256286808531164, + -0.20108968210245415, + -0.1394335986352553, + -0.072084416068499, + -6.902725177417421e-16 + ], + [ + 0, + 0.07643559224875435, + 0.15463330275205334, + 0.23322250089548358, + 0.3108020432057526, + 0.3859819375465093, + 0.4574248573107448, + 0.5238863885519196, + 0.5842529240326052, + 0.6375761771354361, + 0.6831033740064433, + 0.7203022920477598, + 0.7488804441933087, + 0.7687978579897974, + 0.7802730626051714, + 0.7837820713671253, + 0.7800503278985957, + 0.7700377658121044, + 0.7549173106546575, + 0.7360473238362475, + 0.7149386472901482, + 0.693217050558885, + 0.672582005228435, + 0.6547628119849401, + 0.6414731804499484, + 0.6343654094015837, + 0.6349853337319138, + 0.6447291939623011, + 0.6648035445059431, + 0.6961892490245868, + 0.7396105167748662, + 0.7955098150462856, + 0.8640293525365961, + 0.9449996702112623, + 1.0379357037285564, + 1.1420404991184077, + 1.2562165755755377, + 1.3790847406049047, + 1.5090099780094766, + 1.6441338529207037, + 1.7824127146253121, + 1.9216608314142785, + 2.059597465737647, + 2.1938967957576017, + 2.322239513537128, + 2.442364882523431, + 2.5521220189307163, + 2.6495191736177626, + 2.73276983287432, + 2.800334527224941, + 2.850957335265351, + 2.883696192329542, + 2.8979462584954385, + 2.893455763580537, + 2.8703339244071615, + 2.829050717420441, + 2.770428483157504, + 2.6956255333885255, + 2.606112122247798, + 2.503639324705085, + 2.390201534857748, + 2.267993448630133, + 2.139362526841162, + 2.0067580420436446, + 1.8726778934342694, + 1.7396144265162055, + 1.6100005167995612, + 1.4861571691103703, + 1.370243846250618, + 1.2642126737512414, + 1.1697675729421166, + 1.088329254855143, + 1.0210068655217723, + 0.9685769125094088, + 0.9314699270036583, + 0.909765129685623, + 0.9031931766284885, + 0.9111468681391636, + 0.9326995136171353, + 0.9666304637209252, + 1.0114571518441147, + 1.0654728342152602, + 1.1267890855413765, + 1.1933819981996678, + 1.2631409501497615, + 1.3339187519445632, + 1.4035819577231112, + 1.470060129409654, + 1.5313928773189027, + 1.585773563045824, + 1.6315886402608253, + 1.6674517235332453, + 1.6922316116562774, + 1.7050736466989285, + 1.7054139592714943, + 1.6929863300156822, + 1.667821582629416, + 1.6302396101867394, + 1.5808343194744434, + 1.5204519529955975, + 1.4501634108526442, + 1.3712313409033123, + 1.2850728917826546, + 1.19321912651126, + 1.0972721719528535, + 0.9988612294781403, + 0.8995985936595228, + 0.8010368182053138, + 0.7046281319134698, + 0.6116871431755468, + 0.5233577811796569, + 0.4405853077870044, + 0.3640940990241797, + 0.29437174269643424, + 0.2316598326719083, + 0.17595166513456734, + 0.12699686200516558, + 0.08431276635276155, + 0.04720227853557337, + 0.014777634478890685, + -0.014010526844028695, + -0.04033959710724413, + -0.06547784095103099, + -0.09074464809713967, + -0.11746926443816241, + -0.14694911183410306, + -0.18040881841713605, + -0.21896106446584787, + -0.26357030376864726, + -0.31502034797394757, + -0.37388670353178144, + -0.4405144299200155, + -0.5150021469526296, + -0.5971926616279635, + -0.6866705151494389, + -0.7827665727171753, + -0.8845695969350553, + -0.9909445647930486, + -1.1005573127429813, + -1.2119049288317398, + -1.323351159392842, + -1.4331659642831833, + -1.5395682425005657, + -1.640770662115495, + -1.7350254670811978, + -1.820670100273527, + -1.8961714779809538, + -1.9601677762124101, + -2.011506643085451, + -2.049278832947396, + -2.0728463648283415, + -2.0818644377459177, + -2.0762964851180743, + -2.056421916432453, + -2.022836272299119, + -1.9764437046981105, + -1.918441883043449, + -1.850299613952307, + -1.7737276436906717, + -1.6906432826670692, + -1.6031296468200134, + -1.5133904474096767, + -1.4237013751528684, + -1.3363592139484302, + -1.2536298813578912, + -1.1776966259343986, + -1.1106096145446391, + -1.0542381158513687, + -1.0102264297039514, + -0.9799546276336835, + -0.9645050589747709, + -0.9646354429818382, + -0.9807592129218174, + -1.012933607214472, + -1.0608558194237405, + -1.1238673277115474, + -1.2009663299053468, + -1.2908280173332303, + -1.391832233746552, + -1.502097889532348, + -1.61952334030901, + -1.7418317968255368, + -1.8666207133120765, + -1.9914140069735058, + -2.1137158944767838, + -2.231065093677009, + -2.3410881313627896, + -2.4415505206456984, + -2.530404624196793, + -2.6058331005436006, + -2.666286938085407, + -2.7105172127207644, + -2.7375998567840596, + -2.7469528956335005, + -2.7383457895873904, + -2.7119007085282867, + -2.6680857597482395, + -2.6077003817719957, + -2.531853303281727, + -2.44193364233823, + -2.339575882572242, + -2.226619605993296, + -2.1050649830826473, + -1.977025116997639, + -1.8446764077307758, + -1.7102081423248112, + -1.575772527843971, + -1.4434363645726638, + -1.315135508425161, + -1.1926331950925109, + -1.0774831960036944, + -0.9709986503534416, + -0.8742272714374346, + -0.7879334630187005, + -0.7125877065082765, + -0.6483633967598614, + -0.5951411178225624, + -0.5525201647137945, + -0.5198369377726847, + -0.49618966688515476, + -0.480468768022615, + -0.4713919979262441, + -0.4675434577541233, + -0.46741540589915953, + -0.469451776176751, + -0.4720922616983094, + -0.47381581780946785, + -0.4731824595738784, + -0.46887227979107077, + -0.4597206911057975, + -0.444748998375872, + -0.4231895324701817, + -0.39450472086445754, + -0.35839963010780657, + -0.3148276863815353, + -0.26398945861363166, + -0.20632456942398011, + -0.14249697797282937, + -0.07337405103873076, + -6.998045711564284e-16 + ], + [ + 0, + 0.07694863959823885, + 0.15504493489543733, + 0.2329024695827375, + 0.30912675673013795, + 0.38235683666904685, + 0.4513060932010428, + 0.5148011881722188, + 0.571818061591761, + 0.6215140187109751, + 0.6632550249562847, + 0.6966374518312243, + 0.721503658797632, + 0.7379509541464669, + 0.7463336479961369, + 0.747258088523378, + 0.7415707538485068, + 0.7303396520828177, + 0.7148294563449131, + 0.6964709656470504, + 0.6768256322734156, + 0.6575460278044556, + 0.6403332299192114, + 0.6268921976993368, + 0.6188862621379267, + 0.6178918893591063, + 0.6253548758180217, + 0.6425491073373022, + 0.6705389578357942, + 0.710146320324192, + 0.7619231541694718, + 0.826130301390294, + 0.9027231740339897, + 0.9913447481897516, + 1.0913261220006667, + 1.201694709537917, + 1.3211899541739864, + 1.4482862587964076, + 1.581222650460394, + 1.7180385283564952, + 1.8566146904741254, + 1.994718699911394, + 2.130053539791149, + 2.260308419019807, + 2.3832105318784444, + 2.4965765442004937, + 2.5983625784898923, + 2.6867114998571493, + 2.7599963634507096, + 2.816858970768078, + 2.8562425947872505, + 2.8774180695675127, + 2.8800025955601494, + 2.8639707835819146, + 2.8296576440746573, + 2.7777534194426496, + 2.7092903512755377, + 2.625621666406207, + 2.528393251337758, + 2.419508659078373, + 2.30108825159181, + 2.1754234210229457, + 2.0449269501795238, + 1.912080664583785, + 1.7793815925150842, + 1.6492878842896879, + 1.5241657467264755, + 1.4062386232243345, + 1.2975397947657161, + 1.1998694938221888, + 1.1147575136233496, + 1.0434321622508977, + 0.9867962577994468, + 0.9454106911608796, + 0.9194859009962041, + 0.9088814156112006, + 0.9131134233903299, + 0.9313701418809195, + 0.9625345702268293, + 1.0052140349395662, + 1.0577757792078315, + 1.1183877049528843, + 1.185063258037285, + 1.2557093532772414, + 1.3281761694209693, + 1.400307606588627, + 1.4699911906617418, + 1.5352062308670724, + 1.5940690876926085, + 1.6448744869548557, + 1.6861319202765719, + 1.7165962997700217, + 1.735292182124704, + 1.7415310408580305, + 1.734921241098288, + 1.7153705545379119, + 1.6830812385481149, + 1.6385378882435777, + 1.5824884489378641, + 1.5159189445093113, + 1.4400226305492112, + 1.356164416010945, + 1.2658415101118337, + 1.1706413397011772, + 1.0721978440599023, + 0.9721472876727394, + 0.8720847361531552, + 0.7735223161700985, + 0.6778503276151282, + 0.5863021967564662, + 0.49992415482270713, + 0.4195504000316367, + 0.34578435576842603, + 0.27898647713162367, + 0.21926888649027426, + 0.16649694039043345, + 0.12029764963827218, + 0.0800746962444913, + 0.045029619652437375, + 0.014188584624803626, + -0.013566001619128092, + -0.039459881278746445, + -0.0647883088649791, + -0.0908754261177, + -0.11903274221277818, + -0.15051783670881774, + -0.18649439817306873, + -0.22799467832064935, + -0.2758853806224347, + -0.3308379152062189, + -0.39330384067702634, + -0.4634961810073589, + -0.5413771552267916, + -0.6266526930577213, + -0.7187739350457816, + -0.8169457355221945, + -0.9201420054605157, + -1.0271275545345102, + -1.13648592194844, + -1.2466525282024603, + -1.3559523388786812, + -1.4626411103897867, + -1.5649491895299807, + -1.6611267661449376, + -1.7494894331943054, + -1.8284628921346575, + -1.896625654404696, + -1.9527486316208835, + -1.995830576939956, + -2.0251284362618858, + -2.04018178821912, + -2.040830693306331, + -2.027226431597525, + -1.9998347813742772, + -1.959431673398312, + -1.9070912430053446, + -1.8441664900412704, + -1.7722629402525794, + -1.6932058765209486, + -1.6090018699465667, + -1.5217954852011992, + -1.4338221581727728, + -1.3473583435972067, + -1.264670103594246, + -1.1879613529142197, + -1.119322992078495, + -1.0606841450005138, + -1.0137666733869208, + -0.9800440672502284, + -0.9607057109353361, + -0.9566273995560887, + -0.9683488346474333, + -0.9960586636901146, + -1.03958744993284, + -1.098408770946339, + -1.1716484511638907, + -1.2581017399943333, + -1.3562580576533703, + -1.4643327502638388, + -1.5803051284288423, + -1.7019619134642239, + -1.8269450864471488, + -1.9528030303415829, + -2.0770437772539525, + -2.1971891232566545, + -2.3108283533947502, + -2.415670329935917, + -2.5095927373672233, + -2.5906873470823424, + -2.6573002614282433, + -2.7080662184119517, + -2.741936181919801, + -2.7581976042517216, + -2.7564869241533514, + -2.736794050021002, + -2.6994587699973573, + -2.645159223578044, + -2.5748927584042165, + -2.489949676518863, + -2.3918805421237703, + -2.2824578737217154, + -2.1636331738182566, + -2.0374903559555735, + -1.9061967092114616, + -1.7719525925246598, + -1.6369410741048773, + -1.5032787242791636, + -1.3729687336779448, + -1.2478574636655018, + -1.1295954440651, + -1.0196037168716845, + -0.9190462867400809, + -0.8288092830646683, + -0.7494872683484801, + -0.6813769475573367, + -0.624478347765847, + -0.5785033512478844, + -0.5428912828735724, + -0.5168310787710054, + -0.4992894019978877, + -0.4890439264242423, + -0.48472088570700617, + -0.48483588318300047, + -0.48783688317398755, + -0.49214825639444604, + -0.496214732995936, + -0.49854412666941184, + -0.49774773182931265, + -0.49257736217256987, + -0.481958091102741, + -0.46501587024757407, + -0.44109933860414463, + -0.4097952882340048, + -0.37093741899173466, + -0.3246081902684114, + -0.27113375771111436, + -0.2110721627771056, + -0.14519511823931527, + -0.07446389894137108, + -7.073463703085915e-16 + ], + [ + 0, + 0.07723310207425255, + 0.1549919800779892, + 0.23188615680000726, + 0.3065394950701595, + 0.377631371130817, + 0.4439364442635914, + 0.5043619492155513, + 0.5579815007317028, + 0.6040644883003157, + 0.6421002518256214, + 0.6718163625280607, + 0.6931904845745488, + 0.7064554579523971, + 0.7120974177613055, + 0.7108469450012771, + 0.7036634245361567, + 0.6917129626447194, + 0.6763403849564816, + 0.6590359913330903, + 0.6413978834336512, + 0.6250907997385519, + 0.6118024886449055, + 0.6031987204072438, + 0.6008780813376217, + 0.6063277076433126, + 0.6208811011264418, + 0.6456791249840628, + 0.6816352061362274, + 0.7294056725774999, + 0.789366032553634, + 0.8615938598671289, + 0.9458587897954838, + 1.0416199568858884, + 1.148031023533764, + 1.263952761261037, + 1.3879729596095478, + 1.5184332551928492, + 1.653462300238551, + 1.7910145302193148, + 1.9289136479053062, + 2.064899819942325, + 2.1966794849235582, + 2.321976601345263, + 2.4385841216333484, + 2.54441446571788, + 2.6375477848097035, + 2.716276852755825, + 2.7791474975474824, + 2.8249935874543026, + 2.8529657124266805, + 2.862552848813717, + 2.8535964605264432, + 2.8262966685375495, + 2.7812103087106235, + 2.7192408908209207, + 2.6416206645713816, + 2.549885186721162, + 2.4458409625381434, + 2.3315269002932757, + 2.2091704653948043, + 2.0811395474060297, + 1.9498911555111569, + 1.8179181334950845, + 1.687695132145524, + 1.5616250940322585, + 1.441987492460589, + 1.3308895233653872, + 1.2302213770712027, + 1.141616617959768, + 1.0664185765874739, + 1.0056535137112363, + 0.960011152567712, + 0.9298329986020277, + 0.915108678992531, + 0.9154803423347602, + 0.930254966418649, + 0.9584242338505906, + 0.9986914559184312, + 1.0495048589313498, + 1.1090963983158968, + 1.1755251376127849, + 1.2467241252769328, + 1.320549624323457, + 1.3948315002184664, + 1.4674235521212111, + 1.5362525820535267, + 1.5993650354792324, + 1.6549701140705295, + 1.7014783553719788, + 1.7375347922430802, + 1.7620459443714225, + 1.7742000512848344, + 1.7734801272072624, + 1.7596695985208557, + 1.7328504700121934, + 1.6933941518759668, + 1.641945261008333, + 1.579398882943802, + 1.5068719406007882, + 1.425669458861894, + 1.3372466364166122, + 1.2431677352451638, + 1.1450628712224302, + 1.0445838348206689, + 0.9433600877322788, + 0.8429560690809156, + 0.7448309041283895, + 0.6503015401193317, + 0.5605102399253459, + 0.47639724688712765, + 0.3986792967183368, + 0.327834498044626, + 0.2640939360368139, + 0.20744017790723346, + 0.15761267923175407, + 0.11411991069471532, + 0.07625785047189734, + 0.04313432248073766, + 0.013698509310208863, + -0.013225165376072346, + -0.038899703402029376, + -0.0646357556267293, + -0.09175047416125934, + -0.12152610107072365, + -0.1551694090573047, + -0.1937730886452449, + -0.23828012727716966, + -0.28945214971142147, + -0.34784258808858015, + -0.4137754265499493, + -0.4873301224468052, + -0.5683331475723875, + -0.6563564224749758, + -0.7507227390664067, + -0.8505180859158412, + -0.9546106113838283, + -1.0616757866436766, + -1.1702271680456906, + -1.278652010337344, + -1.3852508527307719, + -1.488280092024403, + -1.585996473714863, + -1.6767023754470027, + -1.7587907287476765, + -1.8307884255744833, + -1.8913970858622462, + -1.9395301203190203, + -1.9743451078507164, + -1.9952706171406775, + -2.002026734411373, + -1.9946387110198154, + -1.9734433115728969, + -1.9390876215880226, + -1.8925202589721344, + -1.8349751211705645, + -1.7679479850999011, + -1.6931664553270813, + -1.612553922951811, + -1.5281883491245605, + -1.4422568192958838, + -1.3570069238228533, + -1.2746961046849798, + -1.1975401646374484, + -1.12766216268208, + -1.0670429175068343, + -1.0174743085069364, + -0.9805165028633174, + -0.9574601483422762, + -0.9492944571039652, + -0.9566819686071816, + -0.9799406229805228, + -1.0190336037853904, + -1.0735672251060093, + -1.1427969468351473, + -1.2256414085298402, + -1.3207041810012248, + -1.4263027505370114, + -1.5405040778278585, + -1.6611659164963664, + -1.7859829384448274, + -1.9125365984047398, + -2.0383475808889395, + -2.160929611389016, + -2.277843381620346, + -2.386749336668615, + -2.4854581000744327, + -2.57197737050697, + -2.6445542093043928, + -2.7017117496940433, + -2.742279493210924, + -2.765416513407012, + -2.7706270575987824, + -2.757768219959338, + -2.7270495492600775, + -2.679024647362885, + -2.6145750054528105, + -2.5348865093314683, + -2.4414192183785572, + -2.33587118082701, + -2.2201371869612174, + -2.0962634783874825, + -1.9663995228489473, + -1.8327480279963335, + -1.6975144025916307, + -1.5628568790394122, + -1.4308384868669675, + -1.3033820134988143, + -1.1822290077971815, + -1.068903775449917, + -0.964683186088247, + -0.8705729632753586, + -0.7872909639645671, + -0.7152577778080866, + -0.6545947932085865, + -0.6051296908210434, + -0.5664091409634582, + -0.5377183036542733, + -0.5181065631627084, + -0.5064187771550037, + -0.5013311874805554, + -0.5013910286275888, + -0.5050587835923169, + -0.5107519774297491, + -0.5168893674960078, + -0.5219343870508026, + -0.5244367254395571, + -0.5230709827699797, + -0.5166714183861294, + -0.5042619184069603, + -0.48508043540548124, + -0.4585972996851255, + -0.4245269628263032, + -0.38283290612528326, + -0.3337256248622271, + -0.2776537794926996, + -0.2152887822931825, + -0.14750325821435342, + -0.07534397739993894, + -7.128288962184834e-16 + ], + [ + 0, + 0.0772863422711282, + 0.15447478113189028, + 0.23018248760138485, + 0.3030631507584379, + 0.3718473738307926, + 0.4353810596098612, + 0.4926607473673676, + 0.5428649412185005, + 0.5853805724014352, + 0.6198238626464956, + 0.6460549995506145, + 0.6641861940328354, + 0.674582860511571, + 0.6778578381101144, + 0.6748587514758252, + 0.6666487881314097, + 0.6544813411475954, + 0.6397691269747738, + 0.6240485344017558, + 0.6089400880952394, + 0.5961060157482885, + 0.5872059888080243, + 0.5838521609523055, + 0.5875646544988651, + 0.599728642017365, + 0.6215541385567385, + 0.6540395598022855, + 0.697940014551776, + 0.7537411882328241, + 0.8216395404824975, + 0.9015293873376453, + 0.992997271078815, + 1.095323842353032, + 1.207493294272897, + 1.3282102013254735, + 1.455923431756569, + 1.5888566252004992, + 1.7250445621082193, + 1.8623746021143475, + 1.9986322386202915, + 2.1315497098249105, + 2.2588565249171735, + 2.378330710243234, + 2.4878495553813917, + 2.585438643897794, + 2.669317988076594, + 2.737944150352686, + 2.790047325041375, + 2.824662470098224, + 2.8411537172693544, + 2.839231446766091, + 2.8189615857012726, + 2.780766873759328, + 2.7254200304614686, + 2.6540289512858837, + 2.5680142501111574, + 2.4690796483317747, + 2.359175882085284, + 2.2404589541556583, + 2.11524369248869, + 1.9859536895676309, + 1.8550687834082618, + 1.7250712995312767, + 1.5983923025278957, + 1.4773591050421382, + 1.3641452511758112, + 1.2607241312404625, + 1.1688272969111277, + 1.0899084323357109, + 1.025113800404011, + 0.9752598275217809, + 0.9408183186833615, + 0.9219096115876985, + 0.918303788471036, + 0.9294298718766113, + 0.9543927404414153, + 0.9919973175840141, + 1.0407794141802946, + 1.0990424500841742, + 1.1648991424675068, + 1.2363171347158526, + 1.31116745076025, + 1.387274598356721, + 1.4624671123711634, + 1.5346273262997658, + 1.6017391870344981, + 1.6619329835204508, + 1.713525942987392, + 1.7550577567391163, + 1.7853202282989626, + 1.8033803867356848, + 1.808596573460415, + 1.8006271875486635, + 1.77943195828678, + 1.7452657995950653, + 1.6986654846180593, + 1.6404295555428117, + 1.5715920492354938, + 1.4933907694923552, + 1.4072309678901647, + 1.3146454041829025, + 1.2172518412758626, + 1.1167090869917708, + 1.0146727237779674, + 0.9127516675498443, + 0.8124666681072354, + 0.7152118068016101, + 0.6222199638766126, + 0.534533120317105, + 0.4529782298937187, + 0.3781492496880005, + 0.31039575548800175, + 0.2498183961746235, + 0.19627126294931693, + 0.14937106950360252, + 0.1085128625525531, + 0.07289181301803362, + 0.041530480830077605, + 0.013310804792280796, + -0.012990053194526134, + -0.03866097995043718, + -0.0650163439943482, + -0.09335468265095227, + -0.12491775602921228, + -0.16085107180426078, + -0.20216694755631837, + -0.24971111280433364, + -0.3041337624407847, + -0.3658658593007959, + -0.43510134895149694, + -0.5117857978570808, + -0.5956118006904385, + -0.6860213278950397, + -0.7822150050604949, + -0.8831681357996944, + -0.9876531041563406, + -1.0942676255814328, + -1.2014681614369933, + -1.3076076747385266, + -1.4109767879419093, + -1.509847310019248, + -1.6025170322746274, + -1.6873546521074085, + -1.7628436723330951, + -1.8276241411009235, + -1.8805311435588459, + -1.9206290301481863, + -1.9472404660079314, + -1.9599695090281466, + -1.958718067619094, + -1.9436952497457896, + -1.9154192882750547, + -1.8747119099191243, + -1.8226852015344421, + -1.7607212136291657, + -1.690444722029159, + -1.6136897402452248, + -1.5324605328939518, + -1.4488880206035024, + -1.3651825856663993, + -1.2835843822847963, + -1.2063123231834336, + -1.1355129538887239, + -1.0732104360344734, + -1.0212588413248733, + -0.9812979086672274, + -0.9547133396089562, + -0.9426026034011069, + -0.9457470952439463, + -0.9645913426212096, + -0.9992297886886589, + -1.0494015024696075, + -1.1144929774761945, + -1.193548987895344, + -1.2852912793395856, + -1.3881446840478857, + -1.5002700728944725, + -1.619603392956643, + -1.74389989369991, + -1.8707825206181898, + -1.9977933554511194, + -2.1224469093246032, + -2.2422840310986856, + -2.354925178932299, + -2.4581218189293943, + -2.549804760322053, + -2.6281283108507534, + -2.6915092369981175, + -2.738659639043366, + -2.7686129974588978, + -2.7807428113798003, + -2.7747734277225584, + -2.7507828466626103, + -2.7091974810297015, + -2.6507790390629684, + -2.576603887207261, + -2.4880354276710603, + -2.386690189979738, + -2.2743984827593775, + -2.153160577926392, + -2.0250995013099122, + -1.892411579069098, + -1.75731593631386, + -1.622004162022394, + -1.488591342325455, + -1.3590696228811152, + -1.2352653915024117, + -1.118801076225788, + -1.0110624340708971, + -0.9131720648784329, + -0.8259697263702451, + -0.7499998549242729, + -0.6855065157887705, + -0.6324358210842193, + -0.5904456685702153, + -0.5589224733904806, + -0.5370043933287673, + -0.5236103897531219, + -0.5174743252956738, + -0.5171831788722107, + -0.5212183618298241, + -0.5279990481658156, + -0.5359263885777329, + -0.5434274635796649, + -0.5489978453323672, + -0.5512416807386935, + -0.5489082785937228, + -0.5409242793105259, + -0.5264206044923626, + -0.5047535223412329, + -0.4755193200363241, + -0.43856224183191767, + -0.3939755274526463, + -0.34209556494379045, + -0.2834893509153018, + -0.2189356245750225, + -0.1494002056917689, + -0.07600621652334939, + -7.162018293862328e-16 + ], + [ + 0, + 0.0771078074293601, + 0.1534978427901408, + 0.227806509805988, + 0.29872847760231425, + 0.36505595543287145, + 0.42571537032027634, + 0.47980045418187556, + 0.5266008390371497, + 0.5656253741874822, + 0.5966195149192494, + 0.6195762848875339, + 0.634740480041429, + 0.6426059565706921, + 0.6439060244764526, + 0.6395971474664468, + 0.6308363244134525, + 0.618952693168413, + 0.6054140498807022, + 0.591789112265696, + 0.5797064700151122, + 0.5708112568188635, + 0.5667206438924128, + 0.5689792927585074, + 0.579015914281761, + 0.5981020612780722, + 0.6273142338207346, + 0.6675003007578016, + 0.7192511397445831, + 0.7828782737281753, + 0.858398137327974, + 0.9455234454762308, + 1.0436619629762012, + 1.1519227915860903, + 1.2691301053459583, + 1.393844079739044, + 1.5243885805170858, + 1.6588850080971187, + 1.7952915375968082, + 1.9314468567191188, + 2.0651173872907256, + 2.194046884244392, + 2.3160072405591046, + 2.428849289822678, + 2.5305523906508984, + 2.6192715994522384, + 2.6933812895032303, + 2.751514153811386, + 2.792594634912009, + 2.815865954047519, + 2.8209100620024254, + 2.807660000594293, + 2.7764043434107006, + 2.7277835724728234, + 2.6627784395222736, + 2.5826905518921857, + 2.48911560877265, + 2.383909889579597, + 2.269150757790082, + 2.1470920870670027, + 2.020115638256917, + 1.890679512930264, + 1.7612648791711585, + 1.634322206603216, + 1.5122182591512243, + 1.397185075507355, + 1.2912721191518741, + 1.1963027032528184, + 1.1138356927128872, + 1.0451333585693334, + 0.9911361119948828, + 0.9524446799150946, + 0.9293101057909934, + 0.9216317717765292, + 0.9289634468230663, + 0.9505271740425462, + 0.9852346244173504, + 1.0317153672888366, + 1.088351345257722, + 1.1533166961311971, + 1.224621940853902, + 1.300161456933804, + 1.3777630840887272, + 1.455238664405055, + 1.5304343042257198, + 1.6012791595547005, + 1.6658315905331185, + 1.7223216023422814, + 1.7691885878673737, + 1.8051135091150945, + 1.8290447966434122, + 1.8402174055529408, + 1.8381646389154633, + 1.8227225305703898, + 1.7940267644924506, + 1.7525022928176766, + 1.698845994523672, + 1.634002887242543, + 1.5591365615330102, + 1.4755946462933203, + 1.3848702324436875, + 1.2885602766593933, + 1.1883220755062311, + 1.0858289411868485, + 0.9827262223129678, + 0.8805887964557692, + 0.780881116197675, + 0.6849208182252255, + 0.5938468075540342, + 0.5085926087814144, + 0.4298656364051287, + 0.35813288030043194, + 0.2936133343834282, + 0.23627732057668885, + 0.1858526808944561, + 0.14183763232080937, + 0.10351990667232334, + 0.07000163517724242, + 0.04022928917075168, + 0.013027857846329321, + -0.012861665290009105, + -0.038742500983606244, + -0.06592108082170145, + -0.09566592656859593, + -0.12916752029253167, + -0.16750024819281523, + -0.21158744805957813, + -0.2621705108166617, + -0.3197828826106748, + -0.38472968803489715, + -0.4570735504872598, + -0.5366270260024563, + -0.6229518961976139, + -0.7153653885389247, + -0.8129532124573208, + -0.9145891224609499, + -1.0189605488048978, + -1.1245996768141202, + -1.2299192116706326, + -1.333251940052388, + -1.4328930966634863, + -1.5271444650898862, + -1.6143590906018281, + -1.6929854588873408, + -1.7616099999201469, + -1.8189968101994216, + -1.8641235486864758, + -1.896212550439756, + -1.9147563150829379, + -1.9195366620838283, + -1.9106369980797109, + -1.8884473093962186, + -1.8536616713369602, + -1.8072682503638744, + -1.7505319613753312, + -1.684970125303289, + -1.6123216476408193, + -1.534510401904773, + -1.4536036493500144, + -1.3717664537861167, + -1.2912131548904269, + -1.2141570423109345, + -1.142759424084222, + -1.0790793051133334, + -1.0250248840267946, + -0.9823080397716454, + -0.9524029136078515, + -0.9365095993053149, + -0.935523836505679, + -0.9500134622261128, + -0.9802022167261913, + -1.0259613262739242, + -1.086809100946491, + -1.1619185949678792, + -1.2501331848597164, + -1.3499897315482539, + -1.4597488111427714, + -1.5774313298075504, + -1.7008606851253898, + -1.8277095033342412, + -1.9555498720604703, + -2.0819059043548966, + -2.204307414009604, + -2.320343455657057, + -2.427714486674307, + -2.5242819413435513, + -2.608114070235315, + -2.677526987848586, + -2.7311199869562595, + -2.767804316038046, + -2.7868247732598976, + -2.7877736428372843, + -2.770596683084382, + -2.7355910655212576, + -2.6833953564470856, + -2.6149718217074294, + -2.5315815173781666, + -2.434752799333808, + -2.3262440390347123, + -2.2080014676227755, + -2.0821131823133627, + -1.9507604354337, + -1.8161673852392504, + -1.6805505174759885, + -1.5460689468990627, + -1.4147767786888599, + -1.2885786517326518, + -1.169189500578086, + -1.0580994626965103, + -0.9565447253148768, + -0.8654849548220036, + -0.7855877854260347, + -0.7172206664961911, + -0.6604501842862254, + -0.6150487880821915, + -0.5805086678538807, + -0.5560623547505326, + -0.5407094516101648, + -0.5332487520940609, + -0.5323148777617333, + -0.5364184555275378, + -0.5439887760830386, + -0.55341781899478, + -0.5631045035833254, + -0.5714980269358427, + -0.5771391813585675, + -0.578698602376794, + -0.5750109834834467, + -0.5651044030114674, + -0.548224038949975, + -0.5238496958998687, + -0.49170673088752276, + -0.45177013729192167, + -0.40426172431145335, + -0.3496405086862789, + -0.2885866112621415, + -0.22197911898388412, + -0.15086852879596166, + -0.07644452976551316, + -7.174339672743204e-16 + ], + [ + 0, + 0.07669902671666083, + 0.15206977223130247, + 0.22477922542186696, + 0.29357376413097264, + 0.3573169763079085, + 0.41502432333174183, + 0.4658937048006904, + 0.5093310894808322, + 0.5449705041054743, + 0.572687817102102, + 0.5926079144284467, + 0.6051050354808171, + 0.6107962141818376, + 0.6105279493819572, + 0.6053564050877688, + 0.5965216102896085, + 0.5854162860032888, + 0.5735500695491458, + 0.5625100294303889, + 0.553918465279494, + 0.5493890636061349, + 0.5504825295113709, + 0.5586628358080067, + 0.5752552234866068, + 0.6014070512901967, + 0.6380525281256468, + 0.685882271661903, + 0.74531852192185, + 0.8164967027512654, + 0.8992538700701974, + 0.9931244175621738, + 1.097343232081927, + 1.2108563069716127, + 1.3323386362296883, + 1.4602190306760374, + 1.5927113234266157, + 1.727851270468587, + 1.8635383069547966, + 1.9975811946604292, + 2.1277464940238446, + 2.251808717920383, + 2.3676009757540424, + 2.4730648968782876, + 2.566298632341182, + 2.645601773331331, + 2.7095160925934687, + 2.7568611098960347, + 2.786763602111689, + 2.7986803197485326, + 2.7924133314370976, + 2.768117592071001, + 2.7263005147899566, + 2.6678135172966613, + 2.593835704479564, + 2.505850037303433, + 2.405612517841104, + 2.295115087759345, + 2.1765430884474335, + 2.0522282616003467, + 1.9245983762445544, + 1.7961246493012673, + 1.6692681798349156, + 1.5464266408355039, + 1.4298824661521419, + 1.3217537341844225, + 1.2239488850300353, + 1.1381263155697665, + 1.0656597797018605, + 1.0076103814853707, + 0.9647057907274702, + 0.9373271374204909, + 0.9255038576309288, + 0.9289165734524781, + 0.9469078980934007, + 0.9785008687431564, + 1.0224245291403091, + 1.0771460151345704, + 1.1409083440889929, + 1.2117729763891716, + 1.287666107806603, + 1.366427567623272, + 1.4458611412482614, + 1.5237851088455465, + 1.5980817938301368, + 1.6667449468344446, + 1.7279238510305452, + 1.7799631219476413, + 1.821437286916538, + 1.8511793631670088, + 1.8683028060278746, + 1.8722163658109048, + 1.8626315696206408, + 1.8395627280940663, + 1.8033195523667704, + 1.7544926487884922, + 1.6939323335598648, + 1.6227213722215654, + 1.5421423957898035, + 1.453640872695513, + 1.3587846204395655, + 1.259220920483282, + 1.1566323524457318, + 1.0526924879485955, + 0.9490225799161855, + 0.847150350003837, + 0.7484719160077311, + 0.6542178142097643, + 0.5654239608888406, + 0.4829082655336592, + 0.4072534589920271, + 0.33879653669377113, + 0.2776250443351691, + 0.22358025539566626, + 0.1762671110821327, + 0.13507061828548472, + 0.09917823431310868, + 0.06760761274154914, + 0.039238946615380764, + 0.012851026884655163, + -0.012839961590836037, + -0.039139954527522364, + -0.06733592468351421, + -0.09865530717716087, + -0.134227027480876, + -0.17504518475387645, + -0.22193637494883928, + -0.27553154454821627, + -0.3362431492149838, + -0.40424825501928946, + -0.4794780666733768, + -0.5616142012394484, + -0.6500918512603188, + -0.7441098026115103, + -0.8426470941053832, + -0.9444859325085236, + -1.0482403125608428, + -1.152389640979229, + -1.2553165301285178, + -1.3553478144576052, + -1.4507977538241188, + -1.5400123247754862, + -1.6214134653793268, + -1.693542132276571, + -1.7550990505271313, + -1.8049820870706486, + -1.8423192560636843, + -1.8664964671274127, + -1.8771792531574958, + -1.8743278597453954, + -1.8582052398729172, + -1.8293776713919498, + -1.7887078965978769, + -1.7373408684492917, + -1.6766823720834796, + -1.6083709686497953, + -1.5342438766861457, + -1.456297560094562, + -1.376643927373869, + -1.2974631607277736, + -1.220954283100409, + -1.1492846338143379, + -1.084539457671614, + -1.0286728171996298, + -0.9834610129760426, + -0.9504596431755723, + -0.930965351887765, + -0.9259832082880471, + -0.936200527973428, + -0.9619677968463867, + -1.0032871904931078, + -1.0598090021141608, + -1.1308361040970565, + -1.2153363768452794, + -1.3119628481627545, + -1.419081101979071, + -1.5348033409932444, + -1.6570283281686056, + -1.783486290830534, + -1.9117877518547477, + -2.0394751580040094, + -2.1640761081858826, + -2.283156945910433, + -2.394375471465782, + -2.4955315505165436, + -2.584614446445438, + -2.659845782563587, + -2.7197171453809075, + -2.7630214688839643, + -2.78887748906511, + -2.796746724132904, + -2.786442614848574, + -2.7581316469037147, + -2.7123264686054496, + -2.6498712077007407, + -2.5719193763101886, + -2.479904928151046, + -2.375507193256054, + -2.2606105583403906, + -2.13725988238411, + -2.007612733967402, + -1.8738896071110314, + -1.7383233141875358, + -1.6031087669341666, + -1.4703543394943273, + -1.3420359612477848, + -1.2199550131833805, + -1.1057010016272746, + -1.0006198598072402, + -0.9057885841236082, + -0.8219967517180342, + -0.7497352929954247, + -0.6891927114784632, + -0.6402587582720148, + -0.6025353840838029, + -0.5753546127567399, + -0.5578028110424086, + -0.5487506740567997, + -0.5468881083254574, + -0.5507630779118466, + -0.5588233866631281, + -0.569460303331562, + -0.5810528978098255, + -0.5920119468308997, + -0.60082228638753, + -0.6060825352623926, + -0.6065411881627699, + -0.6011281760854355, + -0.5889811131375198, + -0.5694655899883081, + -0.5421890308255979, + -0.5070077991496714, + -0.4640274136798349, + -0.41359591461223216, + -0.3562905979226732, + -0.29289850686670865, + -0.22439123095888172, + -0.15189470944551592, + -0.07665486491786654, + -7.165134511644309e-16 + ], + [ + 0, + 0.0760635878985933, + 0.15020317920228252, + 0.22112736369370437, + 0.2876444335722459, + 0.3486984336877013, + 0.40340152379669425, + 0.45106177263982933, + 0.49120562143975316, + 0.5235943919571607, + 0.5482343680410348, + 0.5653801457868123, + 0.5755311217725481, + 0.5794211669695538, + 0.5780017113120062, + 0.572418636064643, + 0.5639835336799802, + 0.5541400436530631, + 0.5444261041685285, + 0.5364330697321196, + 0.5317627316462942, + 0.5319833388774737, + 0.5385857499686149, + 0.5529408512616011, + 0.5762593526079365, + 0.6095550194801126, + 0.6536123211726864, + 0.7089593705011709, + 0.775846903598098, + 0.8542339021670317, + 0.9437802984765141, + 1.0438470294497415, + 1.1535035247290495, + 1.271542529062067, + 1.3965019763496287, + 1.526693455768227, + 1.660236643944885, + 1.7950989253828824, + 1.9291392900213724, + 2.0601554853203043, + 2.1859333134208683, + 2.3042969039635666, + 2.4131587616139467, + 2.510568385113698, + 2.5947582818835224, + 2.664186258270139, + 2.7175729491550555, + 2.753933659849194, + 2.7726037253723765, + 2.7732567441783607, + 2.755915211460487, + 2.7209532572846316, + 2.669091382567794, + 2.601383276781201, + 2.519194990553585, + 2.4241769194639047, + 2.3182292277703476, + 2.2034614984088785, + 2.0821475344550158, + 1.9566763539790066, + 1.829500511978605, + 1.7030829475974598, + 1.5798435905487365, + 1.462106966686311, + 1.3520520188493323, + 1.2516653060304823, + 1.162698662880248, + 1.086632294539396, + 1.0246441514056777, + 0.9775862778751758, + 0.9459686620328553, + 0.9299509337813049, + 0.9293420713732038, + 0.9436080853263293, + 0.9718874589051462, + 1.0130139403710083, + 1.0655461085066928, + 1.127802973725244, + 1.1979047362313475, + 1.273817703612864, + 1.3534022757586066, + 1.434462837374603, + 1.514798359189386, + 1.5922524990819165, + 1.6647620139922463, + 1.7304023420183066, + 1.787429290283554, + 1.8343158660227232, + 1.869783413290181, + 1.8928263625962818, + 1.9027300619850491, + 1.8990813315496191, + 1.8817715648138074, + 1.8509923852756216, + 1.8072240501232266, + 1.751216971146878, + 1.6839668907843024, + 1.6066844049157052, + 1.5207596596947348, + 1.42772316404653, + 1.3292037497048284, + 1.2268847746247344, + 1.1224597017837563, + 1.01758819295498, + 0.9138538359022143, + 0.8127245742248286, + 0.7155168330873061, + 0.6233642332903555, + 0.5371916631786258, + 0.45769533588720346, + 0.3853293020300016, + 0.3202987191327707, + 0.26256000319709594, + 0.21182780920735025, + 0.16758861067892122, + 0.12912047795981746, + 0.09551849524188194, + 0.0657251111432731, + 0.03856459094960283, + 0.012780633341989549, + -0.012923866652428562, + -0.03984598163690864, + -0.06924194319469941, + -0.10228746008180736, + -0.14004023351109868, + -0.18340568304781416, + -0.23310681383473095, + -0.2896590490796294, + -0.35335072366356957, + -0.424229788598564, + -0.5020971155675091, + -0.5865066199719412, + -0.676772244112019, + -0.7719816638008136, + -0.8710164063872345, + -0.9725779002748645, + -1.0752188198419739, + -1.1773789491673783, + -1.2774246667357825, + -1.3736910544444854, + -1.4645255603140603, + -1.5483320972511054, + -1.6236144412829403, + -1.6890178024420248, + -1.7433674797635577, + -1.785703577800966, + -1.8153108540947698, + -1.8317428829289883, + -1.834839857653405, + -1.8247395084853277, + -1.801880781228074, + -1.7670001005975269, + -1.7211202254230584, + -1.6655318873328409, + -1.6017685850643215, + -1.5315750787609292, + -1.4568702882243982, + -1.379705442090455, + -1.3022184476882102, + -1.2265855508278292, + -1.1549714284041293, + -1.0894789026070126, + -1.0320994824757554, + -0.9846659260188715, + -0.9488079743667052, + -0.9259123393733655, + -0.9170879293812246, + -0.9231371768076329, + -0.9445341887154329, + -0.9814102810251533, + -1.0335472824038057, + -1.1003788093625801, + -1.1809995242012863, + -1.2741821967774656, + -1.3784022043027475, + -1.491868925038884, + -1.612563316237978, + -1.7382808179935212, + -1.8666785964783865, + -1.9953260354809517, + -2.121757306772031, + -2.243524799563994, + -2.358252168392875, + -2.463685767678804, + -2.557743279785092, + -2.6385584106594924, + -2.7045206214598143, + -2.7543089836344414, + -2.786919385836118, + -2.801684480351342, + -2.7982859305354855, + -2.7767587048116407, + -2.737487352626636, + -2.681194388731712, + -2.608921099615601, + -2.522001265303231, + -2.422028456686796, + -2.310817719030726, + -2.1903625826518494, + -2.062788448883492, + -1.9303034807265713, + -1.7951481811490053, + -1.6595448665802965, + -1.5256482382386003, + -1.3954982197273884, + -1.2709761667741302, + -1.153765465676979, + -1.0453174232559392, + -0.9468232157503274, + -0.8591925105692461, + -0.7830392069319722, + -0.7186745634233046, + -0.6661077967682969, + -0.6250540512667075, + -0.5949494569024242, + -0.5749728206444104, + -0.5640733341633584, + -0.561003536069134, + -0.5643566413844512, + -0.5726072483670562, + -0.5841543554591271, + -0.5973655709265229, + -0.6106213758198924, + -0.6223583077038818, + -0.6311099679006854, + -0.6355448178094804, + -0.6344998185370425, + -0.6270090803066665, + -0.6123268210156846, + -0.5899440834873518, + -0.5595988245834576, + -0.5212791622516684, + -0.47521974439099796, + -0.4218913816272526, + -0.361984260191125, + -0.29638521668618373, + -0.22614970944227875, + -0.1524692575147679, + -0.07663523477399013, + -7.134478006290147e-16 + ], + [ + 0, + 0.07520709369811655, + 0.1479145368555273, + 0.21688309825486954, + 0.2809925746419807, + 0.33927577050809954, + 0.390948294895722, + 0.4354333627482429, + 0.47238091742563393, + 0.5016805378310005, + 0.5234677544260514, + 0.5381235691920222, + 0.5462671509973023, + 0.548741855399251, + 0.5465948921368569, + 0.5410511300433045, + 0.5334816835930443, + 0.5253680638622211, + 0.518262795784416, + 0.5137475001691718, + 0.5133895105227426, + 0.5186981393965515, + 0.5310817255875215, + 0.5518065815264003, + 0.5819589198311713, + 0.6224107701993503, + 0.6737908041806245, + 0.7364608681745731, + 0.8104988870953291, + 0.8956886459177542, + 0.9915167875893756, + 1.097177187725884, + 1.2115826835141945, + 1.3333839508677, + 1.4609951446749914, + 1.592625746424466, + 1.726317905836609, + 1.859988422346635, + 1.9914743918965303, + 2.118581447563373, + 2.2391334515424366, + 2.351022452754699, + 2.4522577100125362, + 2.5410125956959404, + 2.6156682389816956, + 2.674852839829367, + 2.7174756834656333, + 2.7427550076748686, + 2.7502390188549546, + 2.7398195140655948, + 2.711737741275051, + 2.666582314450793, + 2.6052791895517045, + 2.5290738972480695, + 2.4395064136896805, + 2.3383792273311723, + 2.2277193233870083, + 2.1097349539248698, + 1.986768187329617, + 1.861244332800579, + 1.7356194111829335, + 1.6123268909229793, + 1.4937249261089625, + 1.382045321963466, + 1.2793454120681707, + 1.1874639620271206, + 1.1079821179077927, + 1.0421902969928376, + 0.9910617760797559, + 0.9552335722557312, + 0.9349950366646682, + 0.9302843975297986, + 0.94069329909277, + 0.9654791928004658, + 1.0035852506489928, + 1.0536672926144293, + 1.1141270548839797, + 1.1831509771523296, + 1.2587535591527792, + 1.3388242319326544, + 1.4211766106590005, + 1.5035989448137494, + 1.5839045596810009, + 1.6599810905021402, + 1.7298373473110336, + 1.7916467132784784, + 1.8437860707165115, + 1.8848693643936376, + 1.9137750485743386, + 1.9296668187846238, + 1.9320071978513296, + 1.920563724061345, + 1.8954076729011298, + 1.8569054282084227, + 1.8057027991301706, + 1.7427027515716536, + 1.6690371825950863, + 1.586033509555861, + 1.4951769691427383, + 1.398069621910442, + 1.2963871329333017, + 1.1918344470779556, + 1.0861014969844391, + 0.9808200727584118, + 0.8775229449295959, + 0.7776062674478569, + 0.6822961970744529, + 0.5926205518259952, + 0.5093861970652196, + 0.43316269683301944, + 0.3642726039268758, + 0.3027885892199802, + 0.24853743316909294, + 0.20111072487130657, + 0.15988194088924082, + 0.12402941174260017, + 0.09256453260691859, + 0.06436444018271055, + 0.038208263290001515, + 0.01281596338373959, + -0.013111284827699281, + -0.04085026148784321, + -0.07161551827624354, + -0.10652092630128576, + -0.14654399279360927, + -0.192493912482079, + -0.2449842229654781, + -0.3044108144057027, + -0.37093590546825195, + -0.4444784431197518, + -0.5247112175601153, + -0.6110648094238832, + -0.702738308837178, + -0.7987165694592181, + -0.8977935897435741, + -0.9986014526630019, + -1.0996441081476866, + -1.1993351532391223, + -1.2960386567692561, + -1.3881119910217605, + -1.4739495745106128, + -1.5520263992624417, + -1.6209402136662776, + -1.6794512582000984, + -1.7265185055847356, + -1.7613314378776137, + -1.7833364987555, + -1.792257487177537, + -1.78810930563777, + -1.7712046386972946, + -1.7421533114236132, + -1.7018542584575311, + -1.6514802181866999, + -1.5924554483639533, + -1.5264269349386206, + -1.4552297304904296, + -1.3808472083468109, + -1.3053671494654198, + -1.2309346881687278, + -1.159703227059086, + -1.093784488759686, + -1.035198901020177, + -0.9858275113950521, + -0.9473665980687384, + -0.9212860851072183, + -0.9087927848133781, + -0.9107993789797811, + -0.9278999173221393, + -0.9603524584547909, + -1.0080693101347764, + -1.0706151452441377, + -1.1472130824834086, + -1.2367586305790683, + -1.3378412066020706, + -1.4487727573480527, + -1.567622842082306, + -1.6922593794770924, + -1.820394125071402, + -1.9496318314067254, + -2.077521953935504, + -2.2016117040463743, + -2.319499217619018, + -2.428885604223604, + -2.5276246685010735, + -2.6137691507609837, + -2.685612417059391, + -2.741724637939791, + -2.7809826269754865, + -2.802592662019373, + -2.8061057799412343, + -2.7914252155148525, + -2.7588058426186617, + -2.708845666461765, + -2.642469604499491, + -2.560905976460392, + -2.465656296028047, + -2.3584591140308557, + -2.241248801684519, + -2.116110279160909, + -1.9852307867234444, + -1.8508498606856338, + -1.7152087129942681, + -1.5805002204934375, + -1.4488207077931374, + -1.3221246567731415, + -1.202183397433133, + -1.090548731060768, + -0.9885223101596645, + -0.89713145344595, + -0.8171119121487065, + -0.74889792988533, + -0.6926197568623994, + -0.6481085945873793, + -0.6149087642434483, + -0.5922967149069343, + -0.5793063212421736, + -0.5747597682908399, + -0.5773031872103587, + -0.5854460935754928, + -0.5976035918618604, + -0.6121402480941002, + -0.6274144988168324, + -0.6418224592895815, + -0.6538400171586004, + -0.6620621491461248, + -0.66523847615117, + -0.6623041745439311, + -0.6524054857167896, + -0.634919208943481, + -0.6094657206461311, + -0.5759152322573988, + -0.5343871747013496, + -0.4852427756481352, + -0.42907107161840036, + -0.3666687662794978, + -0.29901450461503265, + -0.22723827606919228, + -0.1525867846540029, + -0.07638572721680723, + -7.082637558517266e-16 + ], + [ + 0, + 0.07413709835275921, + 0.14522400484054135, + 0.2120837114363483, + 0.27367640813371447, + 0.3291311132120628, + 0.3777726649168713, + 0.41914333635258993, + 0.45301847459912176, + 0.4794157198424507, + 0.4985975267427819, + 0.5110668841392817, + 0.5175563061081997, + 0.5190103428692708, + 0.5165620296238558, + 0.5115038508004445, + 0.5052539423232434, + 0.4993183817047742, + 0.4952505217369016, + 0.49460840558754515, + 0.49891135707029904, + 0.5095968682598457, + 0.5279789066844436, + 0.5552087359542063, + 0.5922392875087659, + 0.6397940385161398, + 0.6983412438172653, + 0.7680742407954104, + 0.8488983983163737, + 0.9404251180684386, + 1.0419731227491276, + 1.1525770849027714, + 1.271003467290637, + 1.3957732650230008, + 1.5251911658029627, + 1.6573804818700868, + 1.7903230596667499, + 1.9219032445923503, + 2.049954871710578, + 2.1723101716411204, + 2.2868494261982826, + 2.3915501820707035, + 2.484534833705425, + 2.5641154185842256, + 2.6288345285583854, + 2.677501328435003, + 2.709221785508325, + 2.723422348509346, + 2.719866468258337, + 2.698663521426532, + 2.6602698791406643, + 2.60548204931164, + 2.535422010976461, + 2.4515150459895323, + 2.355460553516243, + 2.249196501564518, + 2.1348583231076126, + 2.0147331984490577, + 1.8912107770704019, + 1.7667314785467654, + 1.6437335710925143, + 1.5246002564578123, + 1.4116079904894345, + 1.3068772396729742, + 1.2123268160895397, + 1.1296328478565882, + 1.0601933313605993, + 1.0050990781307876, + 0.9651117163050288, + 0.9406492380326885, + 0.9317794039580757, + 0.9382211285277038, + 0.9593537798324907, + 0.9942341396608101, + 1.0416205879749822, + 1.1000039055412583, + 1.167643933076221, + 1.2426111887792812, + 1.3228324317919975, + 1.4061390697017517, + 1.4903172458155949, + 1.5731584080280172, + 1.65250915644923, + 1.7263191915833964, + 1.7926862380630346, + 1.8498968993685587, + 1.8964625045345105, + 1.9311491358949318, + 1.953001174229149, + 1.9613578605468458, + 1.9558625481323901, + 1.9364645000120366, + 1.903413271205604, + 1.8572458974128168, + 1.7987672876575895, + 1.7290243835345116, + 1.6492747980106222, + 1.5609507785494836, + 1.4656194494285593, + 1.3649403738472543, + 1.2606215357167874, + 1.1543748724918432, + 1.0478724933524448, + 0.9427046914897614, + 0.8403408059203511, + 0.7420939085709509, + 0.6490901884171605, + 0.5622437789046766, + 0.48223763094730915, + 0.4095108751522778, + 0.34425294760388725, + 0.2864045778358868, + 0.23566555998911579, + 0.19150905307492802, + 0.15320198816689823, + 0.11983100346322727, + 0.09033318645339776, + 0.0635307794525542, + 0.03816890362909503, + 0.012955279886313065, + -0.013399125506303466, + -0.042139625539468, + -0.07442859712833381, + -0.11130858237807517, + -0.15366870265436977, + -0.20221529568918456, + -0.2574475765415772, + -0.31963899315196387, + -0.38882479976532486, + -0.4647962103824786, + -0.5471013237037825, + -0.6350528350752588, + -0.7277423741885858, + -0.8240611342034211, + -0.9227262929452135, + -1.0223125740786485, + -1.1212881595574358, + -1.2180540476961996, + -1.3109858569021855, + -1.3984770058814604, + -1.4789821588089898, + -1.5510598096653394, + -1.6134128941343322, + -1.6649263598530502, + -1.704700695427678, + -1.7320805138125037, + -1.7466774040883188, + -1.7483864044778772, + -1.737395605192262, + -1.714188558574577, + -1.679539351822095, + -1.6345003799183297, + -1.580383038762783, + -1.518731736308321, + -1.4512917883663572, + -1.3799719213933226, + -1.3068022431210369, + -1.23388865984744, + -1.1633648135734953, + -1.097342680546145, + -1.0378630133729099, + -0.9868468206215596, + -0.9460490603292314, + -0.9170156774623456, + -0.9010450411484238, + -0.8991547371885469, + -0.9120545473468297, + -0.9401263021809515, + -0.9834111322206761, + -1.0416044670445583, + -1.1140589475066105, + -1.1997952275113757, + -1.2975204529321471, + -1.4056540211227342, + -1.5223600494881373, + -1.6455858200351947, + -1.7731053226751827, + -1.902566896829245, + -2.0315438716162033, + -2.1575870320179926, + -2.2782776937129094, + -2.391280153843771, + -2.494392299233526, + -2.585593197134089, + -2.663086565438127, + -2.725339117647255, + -2.771112900375439, + -2.799490884784316, + -2.809895234592832, + -2.8020978482425494, + -2.7762229571642707, + -2.732741751386328, + -2.672459193337184, + -2.5964933660092804, + -2.5062478781612416, + -2.4033780126567983, + -2.2897514504124965, + -2.167404528216806, + -2.038495090865805, + -1.90525307419379, + -1.7699300038640224, + -1.63474861411457, + -1.501853780631396, + -1.3732659226715673, + -1.2508379625240515, + -1.1362168371018084, + -1.0308104392779658, + -0.9357607284657805, + -0.8519235943625942, + -0.7798558886216221, + -0.7198098606979285, + -0.6717350506751967, + -0.6352875080676879, + -0.6098460259564071, + -0.594534908794757, + -0.5882526340184788, + -0.5897056261007987, + -0.5974462403658937, + -0.6099139556626307, + -0.6254787022745194, + -0.6424852059299792, + -0.6592972115262397, + -0.6743404615307168, + -0.6861433436010842, + -0.6933741886911552, + -0.694874293029504, + -0.6896858524850256, + -0.6770741330111265, + -0.6565433526333391, + -0.6278459149500609, + -0.59098480717549, + -0.5462091529826396, + -0.49400308731910497, + -0.4350682924993019, + -0.37030069788062786, + -0.3007619951979529, + -0.22764675438873438, + -0.15224603714898577, + -0.07590849469238757, + -7.010069300183296e-16 + ], + [ + 0, + 0.07286302508172521, + 0.14215521657617017, + 0.20677120932375972, + 0.26575969494740403, + 0.3183524464990932, + 0.3639882921409837, + 0.4023313797812862, + 0.4332832226366229, + 0.45698817703810274, + 0.4738321743554531, + 0.4844347043646352, + 0.48963422328518963, + 0.4904673316044388, + 0.48814223032331816, + 0.4840071152453989, + 0.4795143035391009, + 0.47618100159225973, + 0.4755477152004554, + 0.479135370005573, + 0.48840225007635113, + 0.504701874517693, + 0.5292429156297337, + 0.5630522177408696, + 0.606941904443863, + 0.6614814652816072, + 0.7269755933062529, + 0.8034484052979299, + 0.8906345202093873, + 0.9879773024543846, + 1.094634399160541, + 1.2094905188642877, + 1.3311772178523877, + 1.4580992839683844, + 1.588467140609023, + 1.7203345400202883, + 1.8516406787248412, + 1.980255752410682, + 2.1040288758154775, + 2.2208372274018924, + 2.328635240646284, + 2.4255026545822584, + 2.5096902561685956, + 2.5796621956855548, + 2.6341338325927595, + 2.6721041713109, + 2.6928820717835253, + 2.6961055654195927, + 2.6817537695905855, + 2.6501510693165553, + 2.6019634188582685, + 2.538186804154723, + 2.460128094814824, + 2.3693786971029684, + 2.2677815925818403, + 2.1573925065521524, + 2.0404360922505522, + 1.9192581374559512, + 1.7962748967476314, + 1.6739207227816, + 1.5545952118769322, + 1.4406110918937547, + 1.334144063516694, + 1.2371857600336504, + 1.151500916634659, + 1.0785897399511417, + 1.019656344455822, + 0.9755839774735366, + 0.9469175924465415, + 0.9338541547080118, + 0.9362408796211055, + 0.9535814140324254, + 0.9850497831694944, + 1.0295117409770653, + 1.0855529869127756, + 1.1515135506552903, + 1.2255275019306944, + 1.3055670192184419, + 1.3894897514247744, + 1.4750883330892013, + 1.5601408680528053, + 1.6424611798122604, + 1.7199476393438953, + 1.790629422621395, + 1.8527091192718155, + 1.9046007090393036, + 1.9449620415383906, + 1.9727210941869762, + 1.9870954397191716, + 1.9876045243815201, + 1.974074536586775, + 1.9466358289992247, + 1.9057130402141718, + 1.8520082408419094, + 1.7864775985064003, + 1.7103022128459546, + 1.6248539112176126, + 1.5316569150489017, + 1.432346382754257, + 1.328624905528018, + 1.2222180754728054, + 1.1148302604344995, + 1.0081017063125342, + 0.9035680459280021, + 0.8026232248932821, + 0.7064867611382764, + 0.616176138237033, + 0.532484996435887, + 0.45596763279013247, + 0.3869301569509364, + 0.3254284760922896, + 0.27127310561178297, + 0.22404062605086061, + 0.18309143560854083, + 0.14759328598186122, + 0.11654994112864747, + 0.08883416764207305, + 0.06322415504293505, + 0.03844237720679033, + 0.013195844532607184, + -0.013783338131837845, + -0.043698199505360524, + -0.07764898620436354, + -0.11659812495529163, + -0.1613390092012615, + -0.21246945722149121, + -0.2703705676639638, + -0.33519155841704334, + -0.406841019555844, + -0.48498484462040126, + -0.5690509309286179, + -0.6582405633920089, + -0.7515462218525766, + -0.847775383720067, + -0.9455797359341269, + -1.0434890670209112, + -1.139948984913957, + -1.233361502469151, + -1.3221274528958018, + -1.4046896437230483, + -1.4795756318442632, + -1.5454390043647581, + -1.6010980804452244, + -1.645571007402059, + -1.6781063086197252, + -1.6982080493145806, + -1.7056549162194834, + -1.7005126556451833, + -1.683139477463692, + -1.6541842063211023, + -1.6145771415179866, + -1.5655137690214476, + -1.5084316484633928, + -1.4449809702594032, + -1.3769894388426955, + -1.3064222834132837, + -1.2353383238928388, + -1.1658431237568243, + -1.1000403404382526, + -1.039982436026004, + -0.9876219346425824, + -0.9447644075080496, + -0.9130243323212932, + -0.893784910976143, + -0.8881628402360302, + -0.896978915937914, + -0.9207352153173652, + -0.9595994474201632, + -1.0133968920344296, + -1.0816101672571632, + -1.1633868790875934, + -1.2575550178685568, + -1.362645780579046, + -1.476923319458031, + -1.5984207505786912, + -1.7249816048805802, + -1.8543057725082677, + -1.9839988823297277, + -2.1116239748928938, + -2.234754270881867, + -2.3510258097421777, + -2.458188735239197, + -2.5541560362559954, + -2.6370486113652505, + -2.705235613162253, + -2.7573691408924854, + -2.792412484805023, + -2.809661279622333, + -2.8087570937829183, + -2.789693161558024, + -2.752812152367983, + -2.6987960610660275, + -2.6286484900047644, + -2.5436697738036878, + -2.4454255665200253, + -2.335709664297834, + -2.2165019708221343, + -2.0899226248003058, + -1.9581833955500603, + -1.8235375125281652, + -1.6882291258925617, + -1.5544435972599289, + -1.4242597927286198, + -1.299605494726978, + -1.182216966761409, + -1.0736035977811542, + -0.9750184233599062, + -0.8874351724710489, + -0.8115323250164651, + -0.747684490538643, + -0.6959612370473262, + -0.6561333151289319, + -0.6276860410282343, + -0.6098394276798292, + -0.6015744890257008, + -0.6016649944048628, + -0.6087138199775151, + -0.6211929362119809, + -0.6374859870292738, + -0.6559323592631408, + -0.6748716119847956, + -0.6926871345964687, + -0.7078479303409674, + -0.7189474772215586, + -0.7247386998062257, + -0.7241641908810856, + -0.7163809487013467, + -0.7007790404192353, + -0.6769937614547045, + -0.6449110300717069, + -0.6046659319330618, + -0.5566345064894277, + -0.5014190412383581, + -0.4398273067724619, + -0.3728463209148886, + -0.30161137020328077, + -0.22737113800903772, + -0.15144988762618417, + -0.07520772324784447, + -6.917412759595509e-16 + ], + [ + 0, + 0.07139606537088652, + 0.138735032995495, + 0.20099189165341194, + 0.25731109178621736, + 0.30703273363752515, + 0.34971333868624505, + 0.3851406314990103, + 0.4133419146745972, + 0.43458578602374853, + 0.4493771203070409, + 0.45844541335442385, + 0.46272675976386096, + 0.4633399022237132, + 0.46155694658443486, + 0.4587694781462365, + 0.456450937622879, + 0.45611621673647795, + 0.45927951077872825, + 0.4674115167267379, + 0.48189708926594743, + 0.5039944626752677, + 0.5347971140026812, + 0.5751992830404921, + 0.625866078723277, + 0.6872089917965954, + 0.7593675026208382, + 0.8421973239985444, + 0.9352656556178051, + 1.0378536531275344, + 1.1489661353063163, + 1.2673483717180898, + 1.3915096151756345, + 1.5197528727031602, + 1.6502102497735973, + 1.7808830593846285, + 1.909685763639049, + 2.0344927140477633, + 2.153186580365844, + 2.263707308376965, + 2.364100425968168, + 2.4525635246960134, + 2.527489780733475, + 2.58750744378856, + 2.631514313791102, + 2.65870634068741, + 2.6685996197926523, + 2.6610452105209776, + 2.636236376180602, + 2.5947080227596637, + 2.5373283008507856, + 2.4652825225268336, + 2.3800497295037055, + 2.283372425796323, + 2.177220152960902, + 2.0637477348797373, + 1.9452491482318075, + 1.8241080811311483, + 1.7027463232892202, + 1.583571184474772, + 1.4689231626826904, + 1.3610250786648441, + 1.2619338594227618, + 1.1734960907337153, + 1.0973083692947418, + 1.0346833707999545, + 0.9866224139980543, + 0.9537951458300422, + 0.9365268028988138, + 0.9347933239126469, + 0.9482244007749753, + 0.9761143672174268, + 1.0174406378868193, + 1.0708892321222567, + 1.134886749634661, + 1.2076380139767635, + 1.287168467725979, + 1.3713702938752188, + 1.4580511536600578, + 1.5449843739456393, + 1.6299593886841681, + 1.7108312394627094, + 1.7855679697029172, + 1.8522948048477097, + 1.9093340953792821, + 1.9552401086081108, + 1.9888278861016584, + 2.0091955330999363, + 2.015739470557831, + 2.0081623554682437, + 1.9864735565070197, + 1.9509822553036258, + 1.902283424247755, + 1.8412371052345675, + 1.7689415758595288, + 1.686701136319498, + 1.5959893780714303, + 1.4984089010345598, + 1.3956485272419448, + 1.2894391134165475, + 1.1815090916945574, + 1.073540866068853, + 0.9671291622122322, + 0.8637423710016255, + 0.7646878428220026, + 0.6710819827476951, + 0.5838258687333809, + 0.5035869692712018, + 0.43078737729588895, + 0.36559880750153845, + 0.30794442896999974, + 0.2575074285341473, + 0.21374602706612045, + 0.17591450525972602, + 0.14308964163942042, + 0.11420182734634117, + 0.08807000319774787, + 0.06343946757823278, + 0.039021531328640655, + 0.013533949761442784, + -0.014258956605639441, + -0.045507571590754185, + -0.08124068504189548, + -0.12233260469744568, + -0.16947456723721355, + -0.22315122569002346, + -0.2836228584717051, + -0.3509137967402666, + -0.4248074052344869, + -0.5048477813971711, + -0.5903481626895676, + -0.6804058570105411, + -0.7739233404812971, + -0.8696350048768766, + -0.9661388877987371, + -1.0619325860913253, + -1.1554524403995556, + -1.2451149890360886, + -1.3293596247991228, + -1.4066913507454455, + -1.475722521200101, + -1.5352124727949041, + -1.5841039966870822, + -1.6215556762324155, + -1.6469692125169595, + -1.6600109809015338, + -1.6606272021460524, + -1.649052268301386, + -1.6258099325170634, + -1.5917072490296196, + -1.5478213304716595, + -1.4954791697751382, + -1.436230948841304, + -1.3718174214418548, + -1.3041321093572613, + -1.2351791847376243, + -1.1670280247043903, + -1.1017655134261235, + -1.0414472300097446, + -0.9880486959041876, + -0.9434178621531158, + -0.9092299945027446, + -0.8869460635305685, + -0.8777756687771976, + -0.8826454221800071, + -0.9021735893997092, + -0.9366516409476903, + -0.9860332019087471, + -1.0499307134672053, + -1.1276199356542136, + -1.2180522332185368, + -1.3198743998589664, + -1.4314555948051808, + -1.5509207943306647, + -1.6761900034238673, + -1.805022333391188, + -1.9350639330398078, + -2.0638986671934627, + -2.1891003689411646, + -2.3082854528703494, + -2.419164666564703, + -2.519592777111359, + -2.6076150378006338, + -2.6815093564415875, + -2.7398231889073794, + -2.7814043071771026, + -2.8054247371951186, + -2.8113973247644894, + -2.7991845634572514, + -2.7689995028771683, + -2.72139874405838, + -2.6572677167376177, + -2.5777986161252673, + -2.4844615501773637, + -2.3789696080293643, + -2.263238702327757, + -2.1393431592572645, + -2.0094681271993706, + -1.8758599458538476, + -1.7407756606374585, + -1.6064328812607505, + -1.4749611683031345, + -1.3483560878054082, + -1.2284370025294078, + -1.1168095714249238, + -1.014833808453573, + -0.92359841127561, + -0.8439019129291322, + -0.7762410394482876, + -0.7208064776119498, + -0.6774860741229317, + -0.6458753050194337, + -0.6252946765236412, + -0.6148135502147107, + -0.6132797305118312, + -0.6193540147629304, + -0.6315487891149388, + -0.6482696596328605, + -0.6678590400894272, + -0.6886405770732484, + -0.7089632804873582, + -0.7272442433530444, + -0.7420088786084494, + -0.751927671113756, + -0.7558485384958735, + -0.7528240123178214, + -0.7421325883175438, + -0.7232937476242708, + -0.6960763160317393, + -0.6605000013971782, + -0.616830125663581, + -0.5655657434121728, + -0.5074215088155963, + -0.4433038130964239, + -0.3742818610662733, + -0.3015544843448077, + -0.22641359719427978, + -0.15020528583678483, + -0.07428958152193432, + -6.805483731389498e-16 + ], + [ + 0, + 0.06974906116925877, + 0.13499326539564016, + 0.1947958810938991, + 0.24840346127378168, + 0.29526899149413566, + 0.33506930496024045, + 0.3677162813753501, + 0.39336150779919754, + 0.41239424988535156, + 0.42543275615586507, + 0.43330909200769785, + 0.43704786951581637, + 0.4378393995009265, + 0.4370079396851253, + 0.43597584330961076, + 0.4362245229963491, + 0.4392532320636225, + 0.4465367276905626, + 0.4594829156357126, + 0.47939158368920254, + 0.507415310414094, + 0.5445235874510499, + 0.5914711188571643, + 0.6487711614266567, + 0.7166746481229536, + 0.7951556956260263, + 0.8839039400425253, + 0.9823239759189923, + 1.0895419970271425, + 1.2044195573446328, + 1.3255741917189086, + 1.4514064623419638, + 1.580132833718226, + 1.709823629377254, + 1.8384451919299782, + 1.963905257520833, + 2.084100469101491, + 2.196964892470912, + 2.300518366274232, + 2.3929135130294497, + 2.4724802629493072, + 2.5377667953272485, + 2.5875758823414845, + 2.6209957254092853, + 2.6374245021786877, + 2.6365879897967135, + 2.6185497936733255, + 2.583713886599034, + 2.5328193464980875, + 2.4669273678370605, + 2.387400807200531, + 2.295876703255859, + 2.1942323808580255, + 2.0845459042380208, + 1.9690517812661943, + 1.8500929363183298, + 1.7300700604546402, + 1.6113895122019761, + 1.4964109786101187, + 1.3873961135259307, + 1.2864593479991784, + 1.1955220169231975, + 1.1162708676490682, + 1.0501219122954306, + 0.9981904583369969, + 0.9612680048887017, + 0.9398065284941984, + 0.9339105061634351, + 0.9433368391737618, + 0.967502653239596, + 1.005500763641294, + 1.0561224123334203, + 1.1178867123375298, + 1.1890760770306463, + 1.2677767720853519, + 1.3519236091766627, + 1.439347705995618, + 1.5278261688567776, + 1.6151325138638837, + 1.6990866311240145, + 1.7776031140846134, + 1.848736822203941, + 1.9107246186471911, + 1.96202232364982, + 2.0013360461059806, + 2.0276471977613357, + 2.0402306525698592, + 2.038665684371304, + 2.022839494819359, + 1.9929433260072937, + 1.9494613339821747, + 1.8931525758241714, + 1.825026629847848, + 1.746313521659314, + 1.6584287645276496, + 1.562934437493403, + 1.4614973160568185, + 1.355845135970633, + 1.2477221090586041, + 1.1388448202261354, + 1.0308596167605852, + 0.9253025551800343, + 0.8235628985154353, + 0.7268510598969485, + 0.6361717691678618, + 0.552303101023351, + 0.4757818493929985, + 0.4068955673647378, + 0.3456814190774002, + 0.2919318140632972, + 0.245206619944695, + 0.20485158058173095, + 0.1700224079858612, + 0.13971387154681145, + 0.11279308100959659, + 0.08803605337107318, + 0.06416657110477844, + 0.03989628193692082, + 0.013964960208414302, + -0.014820152589761946, + -0.04754698518430763, + -0.08516425640318943, + -0.1284510039363416, + -0.1779908462848409, + -0.23415167895062872, + -0.29707136457390565, + -0.3666498208752361, + -0.44254774385130763, + -0.5241920309224836, + -0.6107877940145232, + -0.7013366803063231, + -0.79466105296271, + -0.8894334298001442, + -0.9842104384348194, + -1.0774704255957697, + -1.1676537590477931, + -1.2532047855179853, + -1.3326143591097122, + -1.404461833219072, + -1.467455415555147, + -1.520469820417503, + -1.5625802141115142, + -1.5930915368112184, + -1.6115623951903202, + -1.6178228520202493, + -1.6119855884375913, + -1.5944500780220576, + -1.5658995851544253, + -1.5272909790402, + -1.4798375348378339, + -1.4249850700318045, + -1.3643819331237796, + -1.2998435186478539, + -1.2333121235032016, + -1.1668130810838222, + -1.1024082085883415, + -1.0421476766868014, + -0.9880214574943772, + -0.9419115253093324, + -0.9055459742653045, + -0.8804561780896841, + -0.8679380504220401, + -0.8690183711888912, + -0.8844270275640522, + -0.9145758798735258, + -0.9595448067653981, + -1.0190753138389637, + -1.0925719098477455, + -1.1791112689437537, + -1.2774590107453008, + -1.3860937468492167, + -1.5032378672524143, + -1.6268943772879065, + -1.754888949110259, + -1.8849162250845568, + -2.014589306754461, + -2.1414912849434207, + -2.263227615905883, + -2.377478126550647, + -2.4820474391580047, + -2.574912642543596, + -2.6542671014067194, + -2.718559387070317, + -2.766526428752008, + -2.7972201220781767, + -2.8100267874168035, + -2.8046790409611737, + -2.781259822195759, + -2.7401985080152236, + -2.6822592318030885, + -2.608521710632494, + -2.5203550609336296, + -2.4193852481791094, + -2.3074569653655748, + -2.186590864709602, + -2.0589371739056723, + -1.92672680995124, + -1.7922211579912382, + -1.6576617086044356, + -1.525220743881169, + -1.3969542306749956, + -1.2747580194089525, + -1.1603283603275736, + -1.0551276383042438, + -0.9603560950304733, + -0.8769301569433451, + -0.8054678223455918, + -0.7462813859434975, + -0.6993775978217236, + -0.664465171178853, + -0.6409693734787206, + -0.6280532634600333, + -0.6246449759260271, + -0.6294703113426046, + -0.6410897615470357, + -0.6579389993651907, + -0.6783717811499222, + -0.7007041590629702, + -0.7232588755379221, + -0.7444088162981283, + -0.7626184303692627, + -0.7764820848298255, + -0.7847584070134751, + -0.7863997753076752, + -0.780576248793509, + -0.7666933724410679, + -0.7444034546838659, + -0.7136100838797961, + -0.6744658251284624, + -0.6273632147320144, + -0.5729193418223733, + -0.5119544709906667, + -0.4454653120089383, + -0.3745936791018246, + -0.3005913992828365, + -0.22478242408095253, + -0.14852316917588676, + -0.0731621502835053, + -6.675265429218629e-16 + ], + [ + 0, + 0.06793637126423578, + 0.13096237033671515, + 0.1882366168663395, + 0.23911314369534634, + 0.2831613298758887, + 0.32017983673917577, + 0.3502041565542405, + 0.3735075496051876, + 0.39059531778545814, + 0.40219253668826566, + 0.4092255392534018, + 0.41279760796855813, + 0.4141594852504767, + 0.41467544906045317, + 0.41578581953073107, + 0.4189668593502342, + 0.425689103379739, + 0.43737519954380866, + 0.45535836223937504, + 0.48084253075416017, + 0.5148652886479286, + 0.558264536559013, + 0.6116498219781159, + 0.6753791173415766, + 0.7495417050846361, + 0.8339476783284339, + 0.9281244023576459, + 1.0313201090304862, + 1.142514618047084, + 1.2604370000231004, + 1.3835898210391393, + 1.5102794411470326, + 1.6386516844044288, + 1.7667320592760143, + 1.8924695891871728, + 2.0137832166666514, + 2.1286096733353683, + 2.23495166383637, + 2.330925195838364, + 2.414804900968755, + 2.4850662327190953, + 2.5404234960899754, + 2.579862758394192, + 2.6026688089642263, + 2.608445474671292, + 2.5971287547980717, + 2.5689924091186085, + 2.5246458128859266, + 2.465024077428393, + 2.391370620693541, + 2.3052125538141945, + 2.2083294231572332, + 2.102716008099829, + 1.9905400190158065, + 1.8740956641012152, + 1.755754154668155, + 1.637912293898919, + 1.522940341914146, + 1.4131303691777322, + 1.3106463002480453, + 1.2174768109148244, + 1.13539217476829, + 1.0659060618520306, + 1.0102431745214977, + 0.9693134668233929, + 0.9436935370065717, + 0.9336156119882992, + 0.9389643618903661, + 0.9592815965282648, + 0.993778708516837, + 1.0413565440021448, + 1.100632206405672, + 1.169972135236545, + 1.2475306549482077, + 1.331293061543136, + 1.4191222102284191, + 1.5088074883968767, + 1.5981150064278262, + 1.6848378154717492, + 1.7668449670068456, + 1.8421282633235059, + 1.9088456102894578, + 1.9653599721758812, + 2.010273040742106, + 2.042452864357014, + 2.0610548343360464, + 2.06553559111868, + 2.0556595882887616, + 2.0314982333990854, + 1.9934217066237003, + 1.9420837369309079, + 1.8783997863450332, + 1.8035192517469967, + 1.7187924366603433, + 1.6257331690914185, + 1.5259780427389773, + 1.4212433353216578, + 1.3132807075752502, + 1.2038328084957977, + 1.0945899061937328, + 0.9871486295265628, + 0.8829738444389333, + 0.7833646022770142, + 0.6894249875081866, + 0.602040562090849, + 0.5218609565291294, + 0.4492889971597344, + 0.38447658952491237, + 0.32732740308127034, + 0.2775062273904498, + 0.23445469875044955, + 0.19741293326766315, + 0.16544645173824446, + 0.137477647187304, + 0.11232093088019852, + 0.08872059995283044, + 0.06539040182292619, + 0.041053728934290504, + 0.01448336317837946, + -0.015460297130997162, + -0.049793553945355215, + -0.08937722881274578, + -0.13488885198795184, + -0.1867999743345024, + -0.24535922152753314, + -0.3105815605659367, + -0.38224408689349904, + -0.45988847060923, + -0.5428300266208759, + -0.6301732005652539, + -0.7208330942751854, + -0.8135624957846967, + -0.906983733371674, + -0.9996245446503601, + -1.089957043531254, + -1.1764387827435812, + -1.2575548497694395, + -1.3318599010415155, + -1.3980190340079475, + -1.454846419373775, + -1.5013406659926447, + -1.5367159673193875, + -1.5604281791978754, + -1.5721951015873503, + -1.5720103786078998, + -1.5601505885150775, + -1.5371752640045415, + -1.5039197594119154, + -1.4614810605302788, + -1.4111968104515098, + -1.3546179966100018, + -1.293475905765124, + -1.229644100945813, + -1.1650963036836561, + -1.1018611729073458, + -1.041975055906996, + -0.9874338446387877, + -0.9401451008080479, + -0.9018816148058539, + -0.8742375365474868, + -0.858588161147102, + -0.8560543704332986, + -0.8674726245016118, + -0.8933712683672095, + -0.9339537704342998, + -0.9890893455280767, + -1.0583112396213674, + -1.1408227704065137, + -1.2355110319760778, + -1.3409679876256595, + -1.455518496685718, + -1.5772546536905991, + -1.704075665212349, + -1.833732355081012, + -1.9638752757928395, + -2.092105315453398, + -2.2160256277996306, + -2.3332936792244396, + -2.441672202134161, + -2.5390778685342132, + -2.6236265508813204, + -2.6936741176794796, + -2.747851817081782, + -2.7850954303210234, + -2.804667525000021, + -2.8061723025201393, + -2.7895627102127687, + -2.755139672770788, + -2.703543484873973, + -2.6357375929062536, + -2.552985173850132, + -2.456819089437657, + -2.349005949314831, + -2.2315051545688664, + -2.106423909154793, + -1.9759692787480772, + -1.8423984421481814, + -1.70796831802116, + -1.574885758641668, + -1.4452594822290565, + -1.3210548670326823, + -1.2040526547691, + -1.095812510274106, + -0.9976422608467941, + -0.910573495826009, + -0.8353440480215985, + -0.7723877076803533, + -0.7218313409445046, + -0.683499402687444, + -0.6569256526873558, + -0.6413717087878629, + -0.6358519053087963, + -0.6391637735680837, + -0.6499233276594594, + -0.6666042258555119, + -0.6875797888991213, + -0.7111667931423928, + -0.735669920478127, + -0.7594257390896872, + -0.7808451093250202, + -0.7984529568800092, + -0.8109244296702216, + -0.8171165533377561, + -0.8160946207377835, + -0.8071526898919119, + -0.7898277192356251, + -0.7639070346032477, + -0.7294289950895377, + -0.6866769003357925, + -0.6361663554820612, + -0.5786264776284863, + -0.514975484939146, + -0.4462913525472729, + -0.3737783445908916, + -0.29873033588525666, + -0.22249191731641652, + -0.14641833400858875, + -0.07183533331270764, + -6.527898018164609e-16 + ], + [ + 0, + 0.06597372326274838, + 0.12667711981423446, + 0.18137031800976394, + 0.229519197940385, + 0.2708119651168428, + 0.30516951713781093, + 0.33274930838195904, + 0.35394258723006, + 0.3693650532381307, + 0.3798411536598031, + 0.3863824053906192, + 0.3901602855437034, + 0.39247437746648967, + 0.3947165854097694, + 0.3983323370297576, + 0.40477977571764584, + 0.4154880022643076, + 0.43181545606838595, + 0.4550095291432037, + 0.4861684814241204, + 0.5262066738729869, + 0.5758240578546591, + 0.6354807571111771, + 0.7053774548793607, + 0.7854421563311227, + 0.87532373907791, + 0.9743925358709369, + 1.0817480180343246, + 1.1962334699597288, + 1.3164573686141627, + 1.4408210118776783, + 1.5675517798988616, + 1.69474126854668, + 1.82038740710772, + 1.9424395668457728, + 2.058845585599049, + 2.1675995783405058, + 2.266789376025309, + 2.35464243587085, + 2.429569095531449, + 2.490202100809135, + 2.5354314202609194, + 2.564433468340087, + 2.576693988952326, + 2.5720240003779615, + 2.550568366799657, + 2.5128067371898624, + 2.459546774779375, + 2.3919097852948714, + 2.311309035097694, + 2.2194212267999487, + 2.118151765551897, + 2.0095945999215847, + 1.895987553419172, + 1.7796641730020695, + 1.6630032066128002, + 1.54837688082983, + 1.4380991805844083, + 1.3343753348356044, + 1.2392536850305618, + 1.1545810577477293, + 1.0819626804623483, + 1.0227275718826538, + 0.9779002083923299, + 0.9481791189586011, + 0.9339228960563603, + 0.9351439337289531, + 0.9515100201511698, + 0.9823537254523388, + 1.0266893406374642, + 1.0832369447080374, + 1.1504530088725011, + 1.2265667931288522, + 1.3096216552162014, + 1.3975202782328204, + 1.4880727338369524, + 1.5790462350149652, + 1.6682153973992622, + 1.7534118218378085, + 1.832571833443875, + 1.9037812630665931, + 1.965316234706079, + 2.0156790248792564, + 2.053628184742366, + 2.0782022597681076, + 2.0887366013667354, + 2.084872936061849, + 2.066561536434849, + 2.034056019615929, + 1.987900979139251, + 1.9289128300585636, + 1.8581544110572392, + 1.7769040368671143, + 1.6866198259793748, + 1.588900239186562, + 1.4854418512668195, + 1.3779954390361808, + 1.2683215026253034, + 1.1581463424386964, + 1.0491197917818347, + 0.9427756552479737, + 0.8404958269781008, + 0.7434789628277115, + 0.6527144588739511, + 0.5689623486898437, + 0.49273957696590903, + 0.4243129413053769, + 0.36369882155524025, + 0.3106696412194586, + 0.26476683274319024, + 0.2253199121088421, + 0.19147111243029252, + 0.16220488498282495, + 0.1363814529058557, + 0.11277350074826682, + 0.09010500464228588, + 0.0670911551432824, + 0.042478298964892316, + 0.015082827597657632, + -0.016172029943419004, + -0.05222249700211653, + -0.0938345272562857, + -0.14157887171550043, + -0.19581161056430663, + -0.25666068316594226, + -0.32401879324536953, + -0.39754290014899724, + -0.47666033534264407, + -0.5605814103138942, + -0.648318212179294, + -0.738709120874256, + -0.8304484309542394, + -0.9221203256020062, + -1.0122363338764422, + -1.0992753075413184, + -1.1817248834195726, + -1.2581233529642677, + -1.3271008438018188, + -1.3874187288819178, + -1.4380062173603538, + -1.4779931465508145, + -1.5067380846430305, + -1.5238509671976206, + -1.5292096239134352, + -1.5229697025314104, + -1.5055676602710062, + -1.4777166658353906, + -1.4403954324770787, + -1.3948301804652354, + -1.3424701010968583, + -1.2849568597965348, + -1.2240888287006941, + -1.161780875574545, + -1.1000206525121512, + -1.0408224216589848, + -0.9861795237658391, + -0.93801663694963, + -0.8981429864803584, + -0.868207651310098, + -0.849658069689751, + -0.8437027755634673, + -0.851279301146137, + -0.8730280614700117, + -0.9092728966067307, + -0.9600087901152494, + -1.0248971118465071, + -1.1032685536973725, + -1.1941337426270466, + -1.296201330729154, + -1.4079031819068826, + -1.5274261031414538, + -1.6527494096848572, + -1.7816874716425772, + -1.911936267830084, + -2.0411228744843775, + -2.1668567438150332, + -2.2867815822888495, + -2.398626622083307, + -2.5002560917441707, + -2.589715733454217, + -2.6652752834742626, + -2.7254659275824373, + -2.7691118624024518, + -2.7953552334835337, + -2.8036738784678215, + -2.793891474823011, + -2.7661798722617754, + -2.72105357571773, + -2.6593565310796587, + -2.5822415482696495, + -2.491142870254284, + -2.387742557978007, + -2.2739315060937, + -2.1517660292352128, + -2.023421060423004, + -1.8911410795782566, + -1.7571899392310462, + -1.6238007752054593, + -1.4931271819085605, + -1.3671967951099921, + -1.2478683607457246, + -1.1367932779615268, + -1.035382490613141, + -0.9447794666229363, + -0.8658398523271126, + -0.7991182230258654, + -0.7448621754929218, + -0.7030138275586587, + -0.6732186085198024, + -0.6548410465226883, + -0.6469870895886892, + -0.6485323397603211, + -0.658155438792062, + -0.6743757223294182, + -0.6955941605585798, + -0.7201365292463704, + -0.7462977076818211, + -0.7723859803654991, + -0.7967662277668658, + -0.8179009277786611, + -0.8343879526419861, + -0.8449942344322028, + -0.8486844833934795, + -0.8446442746334297, + -0.8322969665871225, + -0.8113140754708794, + -0.7816188995929862, + -0.7433833615791883, + -0.6970182109081722, + -0.6431568992411016, + -0.582633602589264, + -0.5164560133338723, + -0.4457736577530843, + -0.37184260769917926, + -0.29598754557735574, + -0.21956220754846545, + -0.1439092692776629, + -0.07032075061075932, + -6.364666640263568e-16 + ], + [ + 0, + 0.06387805274994085, + 0.12217425017477022, + 0.1742554218947384, + 0.21970261951743478, + 0.2583242180759695, + 0.29016265584775447, + 0.31549461479009755, + 0.33482461497884275, + 0.3488721684975212, + 0.3585528068304303, + 0.3649534566813023, + 0.3693027881788047, + 0.37293729284414, + 0.37726396307707866, + 0.38372053733249084, + 0.39373434322644474, + 0.4086808127548513, + 0.42984275850817394, + 0.4583714867853701, + 0.4952507831058659, + 0.5412647387356523, + 0.5969702950940659, + 0.6626752685295496, + 0.7384224837549358, + 0.8239804935268727, + 0.9188411986710078, + 1.0222245103530703, + 1.1330900198611584, + 1.25015546450174, + 1.3719216059368504, + 1.4967029737192348, + 1.622663776024959, + 1.7478581454392261, + 1.8702737735157706, + 1.9878778966090536, + 2.09866452951446, + 2.200701804466414, + 2.2921782620940108, + 2.371446958382286, + 2.4370662971959467, + 2.4878365704575276, + 2.522831285929244, + 2.5414224833937507, + 2.543299380957609, + 2.5284798508054074, + 2.4973143941871094, + 2.4504824645778864, + 2.388981171437971, + 2.314106580335981, + 2.2274280038948233, + 2.130755847694559, + 2.0261037317564115, + 1.9156457476898858, + 1.801669830577518, + 1.6865283202640782, + 1.5725868565451884, + 1.46217279508, + 1.3575243446216707, + 1.2607416110056282, + 1.1737406896043472, + 1.0982118766944766, + 1.0355829731080004, + 0.9869885330063036, + 0.9532457695520653, + 0.9348376710886624, + 0.9319037100186982, + 0.9442383460741498, + 0.9712973404835057, + 1.0122117121717398, + 1.0658089860849267, + 1.1306412114115973, + 1.2050190680594681, + 1.2870512371010316, + 1.3746880884722203, + 1.4657686399431165, + 1.5580696676556316, + 1.649355802087488, + 1.7374294252305658, + 1.8201791954424502, + 1.8956260655144719, + 1.9619657259717243, + 2.0176064977830275, + 2.061201814185744, + 2.0916765673247575, + 2.108246748472189, + 2.1104319769254833, + 2.0980606881484345, + 2.0712679319779626, + 2.030485912315167, + 1.9764275762003336, + 1.9100637281972743, + 1.8325943014610107, + 1.745414555933203, + 1.6500770934151465, + 1.5482506759198562, + 1.44167690538229, + 1.3321258678155352, + 1.221351862312478, + 1.11105032456986, + 1.0028170162163144, + 0.8981104862073486, + 0.7982187206197151, + 0.7042307846638276, + 0.6170141285233924, + 0.5371980801004174, + 0.4651638866660131, + 0.4010414978748478, + 0.3447131088802144, + 0.29582330877024676, + 0.2537955106053148, + 0.2178541792206917, + 0.18705222568890487, + 0.16030280660577864, + 0.13641465544604175, + 0.11412998489957424, + 0.0921639355482531, + 0.06924450905059479, + 0.04415191407724852, + 0.015756270807912556, + -0.016947335609743208, + -0.05480739177555624, + -0.09848892752803656, + -0.1484516506120303, + -0.20493383801035234, + -0.26794242722468914, + -0.33724958910966973, + -0.4123958948034713, + -0.4927000171459966, + -0.5772747360990597, + -0.6650488524203108, + -0.7547944583934859, + -0.8451588727386199, + -0.9347004225303788, + -1.0219271512207009, + -1.1053374513597145, + -1.1834615654219696, + -1.2549028697251952, + -1.318377855557734, + -1.3727537483989465, + -1.4170827599213476, + -1.4506320470214737, + -1.4729085555076777, + -1.483678050745809, + -1.4829777804582351, + -1.4711223724556954, + -1.4487027384481121, + -1.4165779300449124, + -1.3758600702585169, + -1.327892658842608, + -1.2742227182490868, + -1.2165674046490826, + -1.1567758513659805, + -1.0967871366045863, + -1.0385853703686927, + -0.9841529743080919, + -0.9354232808855465, + -0.894233603312116, + -0.8622799244522666, + -0.8410743213362067, + -0.8319061827237163, + -0.8358081917147445, + -0.8535279357221882, + -0.8855058748393055, + -0.9318602499145462, + -0.9923793471172606, + -1.0665213604380366, + -1.1534219116896243, + -1.2519091035999168, + -1.3605258000164508, + -1.477558652520878, + -1.6010732291668837, + -1.7289544526250626, + -1.858951425394106, + -1.9887256121131132, + -2.1159012660434287, + -2.2381169305343995, + -2.3530768181498605, + -2.4586008708238007, + -2.552672333944864, + -2.6334817349405255, + -2.6994662413571726, + -2.7493434825681633, + -2.782139050440174, + -2.797207044360881, + -2.7942431913268604, + -2.7732902482880317, + -2.7347355773475432, + -2.679300970261237, + -2.608024982447624, + -2.522238213940902, + -2.423532141091951, + -2.3137222543113984, + -2.1948063900885106, + -2.0689192567020416, + -1.9382842397935673, + -1.8051636342318844, + -1.671808481042364, + -1.5404091918793243, + -1.4130481185576411, + -1.2916551722112644, + -1.1779675170770223, + -1.073494259730163, + -0.9794869284432558, + -0.896916392357427, + -0.8264567099581891, + -0.7684762249178294, + -0.7230360489519708, + -0.6898958903523152, + -0.6685270077678418, + -0.6581318960224725, + -0.6576701485232714, + -0.6658897931030134, + -0.6813632685596415, + -0.702527100850049, + -0.727724253479563, + -0.7552480681148639, + -0.7833866802027473, + -0.8104667910846491, + -0.8348957027448907, + -0.855200573211586, + -0.8700639283576752, + -0.8783545674000204, + -0.8791531221494838, + -0.8717716708846945, + -0.8557669630202629, + -0.8309469765762096, + -0.7973707026319068, + -0.7553412251164214, + -0.7053923360573651, + -0.648269091458071, + -0.5849028671504817, + -0.5163816134088497, + -0.4439161283133607, + -0.36880326979159417, + -0.2923871024459922, + -0.2160190258035719, + -0.14101795425385635, + -0.06863161510404266, + -6.186988061787385e-16 + ], + [ + 0, + 0.061667331324419525, + 0.11749209345274958, + 0.16695200382500683, + 0.2097455437214804, + 0.24580150683657256, + 0.2752820880051335, + 0.29857941231706314, + 0.31630557619568367, + 0.32927644174514464, + 0.33848958948217395, + 0.3450969882943389, + 0.3503730811976873, + 0.3556791076371843, + 0.3624245845580267, + 0.3720269466660644, + 0.3858703991652502, + 0.4052650624173892, + 0.43140748669196805, + 0.46534358642721396, + 0.507934987863238, + 0.5598297028637196, + 0.6214379371853566, + 0.6929137159486776, + 0.7741428657040379, + 0.8647377348203051, + 0.9640388658636742, + 1.0711236593613653, + 1.184821892204877, + 1.3037377803416301, + 1.4262781086801801, + 1.5506857954791944, + 1.6750781178239473, + 1.7974887026722963, + 1.9159122874773988, + 2.028351178138757, + 2.1328622819723684, + 2.227603570855274, + 2.3108788353401724, + 2.3811796243059486, + 2.437223325866973, + 2.477986432385669, + 2.502732143451826, + 2.5110315929462597, + 2.502778136603875, + 2.4781943011885654, + 2.4378311714841616, + 2.3825601725230197, + 2.3135573873893387, + 2.232280731071501, + 2.140440473781095, + 2.039963768660746, + 1.9329539848981716, + 1.8216457743530796, + 1.7083569047518132, + 1.5954379727169021, + 1.485221163384046, + 1.3799692487799036, + 1.281826013839914, + 1.1927692669885737, + 1.1145675323400952, + 1.048741434243652, + 0.9965306741819216, + 0.958867367619135, + 0.9363563575018609, + 0.9292629554109568, + 0.937508384877797, + 0.9606730184060712, + 0.998007314733775, + 1.0484501803279243, + 1.1106543034637364, + 1.1830178447652955, + 1.2637217187641738, + 1.3507715704795014, + 1.4420434423876372, + 1.5353320430413129, + 1.628400471022147, + 1.719030218218411, + 1.805070275278002, + 1.8844841894587492, + 1.9553939802486733, + 2.0161198996405103, + 2.0652151297549977, + 2.10149463795984, + 2.124057555541637, + 2.132302606724318, + 2.12593628639918, + 2.104973663089429, + 2.0697318640131552, + 2.02081647718582, + 1.9591012769348075, + 1.8857018397768364, + 1.8019437634041906, + 1.7093263289830085, + 1.6094825529936598, + 1.5041366568855674, + 1.3950600389233947, + 1.2840268614637689, + 1.172770367896896, + 1.0629410166851283, + 0.9560674660923448, + 0.8535213637566375, + 0.7564867922825819, + 0.6659350981689441, + 0.5826056898093374, + 0.5069932346101464, + 0.43934151940995947, + 0.37964406655319727, + 0.32765142450457657, + 0.2828848811605548, + 0.24465618431365377, + 0.21209270116651047, + 0.1841673112003239, + 0.15973220752144104, + 0.13755568401751378, + 0.11636091168733659, + 0.09486565920084226, + 0.07182189128517184, + 0.046054184430232514, + 0.016495932484568807, + -0.017777625892623893, + -0.05752044176955409, + -0.10329152948397505, + -0.15543632944551633, + -0.21407406699106332, + -0.2790914575587643, + -0.3501429428258574, + -0.42665747194317966, + -0.5078516709209605, + -0.5927490759185775, + -0.6802049469155528, + -0.7689360310428858, + -0.8575545134832967, + -0.944605281661506, + -1.0286055383173922, + -1.1080857333106382, + -1.1816307443594054, + -1.247920224428395, + -1.3057670485330737, + -1.3541528350052194, + -1.3922595847749226, + -1.419496575310202, + -1.4355217612424809, + -1.44025706855641, + -1.4338971202044044, + -1.416911094378205, + -1.390037588371953, + -1.3542725367274768, + -1.3108504077752934, + -1.261219073386077, + -1.2070089084462092, + -1.1499968252017798, + -1.0920660794282078, + -1.0351627970378539, + -0.9812502583893459, + -0.9322620409289053, + -0.8900551572170702, + -0.8563643338805231, + -0.8327585572745295, + -0.8206009640426736, + -0.8210130804028597, + -0.8348443146220257, + -0.8626474851386013, + -0.9046610250875083, + -0.9607983460055897, + -1.030644673081942, + -1.1134614856178588, + -1.2081985137362303, + -1.313513060296478, + -1.4277962398877158, + -1.549205559033901, + -1.6757031074705402, + -1.8050984933383007, + -1.9350955387613573, + -2.0633416594106198, + -2.187478784595288, + -2.3051946348488848, + -2.4142731628759218, + -2.5126429814023488, + -2.598422647522151, + -2.6699617464538097, + -2.7258768164454414, + -2.7650812785028616, + -2.78680867670065, + -2.7906286936196243, + -2.7764555770726913, + -2.7445487945596807, + -2.6955059164438344, + -2.630247913179027, + -2.549997231555338, + -2.4562491855075166, + -2.3507373544065415, + -2.235393822116754, + -2.1123052100577695, + -1.9836655541725958, + -1.8517271467571537, + -1.7187505078679761, + -1.586954666482027, + -1.458468918419888, + -1.3352871866477072, + -1.2192260410246494, + -1.1118873406058691, + -1.0146263446138455, + -0.9285260010822975, + -0.8543779683755583, + -0.7926707581157416, + -0.7435852126428618, + -0.7069973503285498, + -0.682488432301212, + -0.6693619288475814, + -0.6666668972403644, + -0.6732271290857049, + -0.687675288241182, + -0.7084911432591021, + -0.734042903992843, + -0.7626306027266383, + -0.7925304175851748, + -0.8220388210163744, + -0.8495154490970712, + -0.8734236278697552, + -0.8923675597788272, + -0.9051252647802507, + -0.9106764844826973, + -0.908224890823075, + -0.8972140898896794, + -0.8773370727946914, + -0.8485389348795841, + -0.8110128577330447, + -0.7651895211435664, + -0.7117202798525161, + -0.6514545986016795, + -0.585412384501722, + -0.5147519845380504, + -0.4407347248573438, + -0.3646869546261873, + -0.28796061858074506, + -0.21189341737723386, + -0.1377696226555125, + -0.06678259417549719, + -5.996396084766768e-16 + ], + [ + 0, + 0.05936038531830097, + 0.11267019497508252, + 0.15952118374138133, + 0.19973044215790675, + 0.23334634441410443, + 0.2606479949017704, + 0.2821381715899171, + 0.29852993441522124, + 0.31072723283719234, + 0.3198000043529358, + 0.32695440109321255, + 0.33349891092667144, + 0.3408072494799164, + 0.3502789873178199, + 0.36329893995558293, + 0.38119638573713327, + 0.4052051869123596, + 0.4364258721561195, + 0.47579069466024476, + 0.5240326098403876, + 0.5816590223308484, + 0.648931035602879, + 0.7258488021009609, + 0.8121434205968936, + 0.9072756642641664, + 1.0104416518340125, + 1.12058539937603, + 1.2364180161175895, + 1.3564431386372588, + 1.4789880379814935, + 1.6022396877823475, + 1.724284951995505, + 1.843153941716399, + 1.9568655044535705, + 2.0634737484617984, + 2.1611144708581485, + 2.2480503521935207, + 2.322713802173816, + 2.3837463908666856, + 2.4300338758551843, + 2.4607359366138293, + 2.475309850476613, + 2.47352748697593, + 2.455485155608546, + 2.4216060123840286, + 2.3726349086826106, + 2.3096257476422664, + 2.2339215940631028, + 2.147127959230666, + 2.0510798478128516, + 1.9478033060029105, + 1.839472344620735, + 1.7283622246273576, + 1.6168001826413239, + 1.5071147383341175, + 1.4015847624207254, + 1.3023894924181196, + 1.2115606631805933, + 1.1309378709002993, + 1.062128213936963, + 1.0064711533280817, + 0.9650094125627106, + 0.9384665931686647, + 0.927232023339597, + 0.9313531850885154, + 0.9505358854352756, + 0.9841521532954809, + 1.0312556605083198, + 1.0906042872755282, + 1.1606892835108562, + 1.2397703223143257, + 1.325915603749834, + 1.4170460496542863, + 1.5109825361696554, + 1.6054950423175682, + 1.698352551848888, + 1.7873725327464376, + 1.870468834392127, + 1.9456968860849801, + 2.0112951511809047, + 2.0657218868263785, + 2.107686377669787, + 2.136173950095578, + 2.150464227996207, + 2.1501422580393754, + 2.13510230766736, + 2.1055443183488505, + 2.0619631754691117, + 2.005131130289011, + 1.9360738743535477, + 1.8560409185463964, + 1.7664710639630186, + 1.6689538666307044, + 1.5651880900649762, + 1.4569382065178083, + 1.34599004797102, + 1.2341067205512473, + 1.1229858808711664, + 1.0142194303070802, + 0.9092566145566914, + 0.80937142278279, + 0.715635065642673, + 0.6288941774759176, + 0.5497552382896985, + 0.4785755497397261, + 0.41546093014154156, + 0.3602701209326628, + 0.3126257252909041, + 0.2719313331172075, + 0.2373943294946028, + 0.20805373997715798, + 0.18281233924283172, + 0.16047214293008555, + 0.13977231852909147, + 0.11942849209810928, + 0.09817239478092814, + 0.07479078740572012, + 0.048162622960463745, + 0.017293454891278023, + -0.01865382728656648, + -0.06033275652255869, + -0.10819224428013022, + -0.16246130135337639, + -0.22313994001250242, + -0.28999651260019355, + -0.3625715736104507, + -0.44018818180429237, + -0.5219683903797474, + -0.6068555108968342, + -0.6936415846878193, + -0.78099935772723, + -0.8675179349088952, + -0.9517411904493686, + -1.0322079352592377, + -1.1074927915622181, + -1.1762467011286015, + -1.2372359968883986, + -1.2893789983790285, + -1.3317791487554724, + -1.3637537935719293, + -1.3848578072225717, + -1.3949013992089843, + -1.3939615761659667, + -1.382386893264274, + -1.3607952963012735, + -1.3300650293128822, + -1.2913187575623308, + -1.2459012279056967, + -1.1953509534863556, + -1.1413665633243186, + -1.0857685957706875, + -1.0304576344889114, + -0.9773697835597918, + -0.9284305519746581, + -0.8855082652687227, + -0.8503681420857986, + -0.824628165467864, + -0.8097178427320697, + -0.8068408847308962, + -0.8169427465581244, + -0.8406838594725138, + -0.8784192506574579, + -0.9301850966343946, + -0.9956925913582152, + -1.074329335254486, + -1.1651682709745736, + -1.2669840098575185, + -1.378276214449032, + -1.4972995313190205, + -1.6220994090438063, + -1.750552992497574, + -1.880414160072376, + -2.0093616681916417, + -2.135049290030463, + -2.2551567846340532, + -2.3674405099049323, + -2.46978249879834, + -2.5602368524095276, + -2.6370723656467008, + -2.6988103893691537, + -2.744257045102149, + -2.7725290419976174, + -2.783072497350225, + -2.7756743280165233, + -2.7504659564822664, + -2.707919257789121, + -2.648834857628254, + -2.5743230731582067, + -2.485777962103212, + -2.3848451082113424, + -2.2733839182586295, + -2.1534253339163127, + -2.0271259678617395, + -1.8967197549615284, + -1.7644682642470713, + -1.632610844449684, + -1.5033157744619017, + -1.3786335603390019, + -1.260453463142141, + -1.1504642585187907, + -1.0501201215233804, + -0.9606124014932917, + -0.8828479050236816, + -0.817434143878427, + -0.7646718330326236, + -0.7245547462115914, + -0.6967768566633753, + -0.6807465139024853, + -0.67560723714396, + -0.6802645472780909, + -0.6934181154022065, + -0.7135983806304266, + -0.739206686182104, + -0.7685579030997601, + -0.7999244572603165, + -0.8315806488626739, + -0.8618461548655177, + -0.889127633784813, + -0.9119574080266207, + -0.9290282800477269, + -0.939223642994773, + -0.9416421713893774, + -0.9356165197101649, + -0.9207256127555712, + -0.8968002774985988, + -0.8639221375752106, + -0.8224158642575445, + -0.772835047403245, + -0.7159421121794394, + -0.6526828582606136, + -0.5841563339137121, + -0.5115808745169641, + -0.43625723068849553, + -0.3595297829479094, + -0.28274688592305475, + -0.20722140441620412, + -0.13419249570529662, + -0.06478965750891787, + -5.79452587754639e-16 + ], + [ + 0, + 0.056976707100053196, + 0.10774892120798521, + 0.15202452615257733, + 0.18973932086384462, + 0.22105935168650892, + 0.24637675847872986, + 0.2662992295819439, + 0.2816333280470239, + 0.2933621122860964, + 0.30261762450089097, + 0.3106489559944565, + 0.31878671634068484, + 0.3284048303498663, + 0.3408806603360942, + 0.35755449945729945, + 0.3796895035887767, + 0.40843312370054974, + 0.4447810681144459, + 0.48954476507605116, + 0.543323212210405, + 0.6064799926869937, + 0.679126110925549, + 0.7611091565682004, + 0.852009147799298, + 0.9511412378316568, + 1.0575652956655643, + 1.1701021983785067, + 1.2873565015704445, + 1.4077449914525315, + 1.5295304705293877, + 1.6508599927098884, + 1.7698066464364313, + 1.884413889033769, + 1.9927413643944725, + 2.092911091189463, + 2.1831528912235916, + 2.2618479378766088, + 2.327569342617022, + 2.379118762500895, + 2.4155581018526133, + 2.436235494822225, + 2.440804889497799, + 2.4292387054830296, + 2.4018332016592967, + 2.3592063652246575, + 2.302288312783163, + 2.2323043748515463, + 2.150751212231241, + 2.0593664819157382, + 1.9600927274063547, + 1.8550363096230764, + 1.7464223165352852, + 1.6365464891854544, + 1.527725276468735, + 1.4222451790012614, + 1.3223125624522913, + 1.2300051123055753, + 1.1472260653265571, + 1.0756622889098801, + 1.0167471895043647, + 0.9716293176323831, + 0.9411474023913, + 0.9258123960135294, + 0.9257969427695892, + 0.940932510268221, + 0.9707142393251527, + 1.014313385460818, + 1.070597045199368, + 1.1381546880479043, + 1.2153308545189343, + 1.3002632357125243, + 1.3909252243025254, + 1.4851719233060237, + 1.5807885202421927, + 1.6755398820833722, + 1.7672202019915728, + 1.853701532758199, + 1.9329800739686769, + 2.0032191393501257, + 2.0627878160129502, + 2.110294436218159, + 2.144614112165027, + 2.164909731862409, + 2.1706459757553533, + 2.1615960854224587, + 2.137841293094696, + 2.0997629995955, + 2.048027964161216, + 1.983566938150243, + 1.9075473317581544, + 1.8213406446863383, + 1.7264855148115368, + 1.6246473402928145, + 1.5175755077951818, + 1.407059310774162, + 1.2948836658700467, + 1.1827857318991188, + 1.072413504884681, + 0.9652874049093163, + 0.8627657878183002, + 0.7660152091102255, + 0.6759861414303152, + 0.5933947041484382, + 0.5187108071894115, + 0.45215294554695473, + 0.39368970994088076, + 0.34304790717955885, + 0.2997270152911735, + 0.2630195376197683, + 0.23203667087946828, + 0.2057385683571543, + 0.182968364393116, + 0.16248903281832708, + 0.14302208250689097, + 0.123287049329668, + 0.1020407266402155, + 0.07811508638384188, + 0.05045287970925016, + 0.018139968619153617, + -0.019566472890051836, + -0.06321464080044648, + -0.11314029054895909, + -0.16945491419253317, + -0.23204022890263773, + -0.3005491355233003, + -0.37441313684316774, + -0.45285603626262017, + -0.5349135729718655, + -0.6194584937764387, + -0.7052304182804757, + -0.7908697269196627, + -0.874954593574375, + -0.9560401989518629, + -1.0326990998105965, + -1.103561694004745, + -1.1673557131939716, + -1.2229436941588991, + -1.2693574255673035, + -1.305828438657727, + -1.3318137059059312, + -1.347015828970655, + -1.3513971331870165, + -1.345187237221986, + -1.32888382946804, + -1.3032465532717321, + -1.2692840769188285, + -1.2282345970810415, + -1.1815401918412929, + -1.1308155972501375, + -1.0778121256495223, + -1.0243775710847074, + -0.9724130537839528, + -0.9238278391926206, + -0.8804932252471166, + -0.8441966229321829, + -0.8165969588127103, + -0.79918250398473, + -0.7932321822564379, + -0.7997813325359379, + -0.8195927982057674, + -0.853134092149767, + -0.9005612430569307, + -0.9617097701247853, + -1.0360930631752008, + -1.1229082676259452, + -1.2210495930710223, + -1.3291287848353779, + -1.445502324184932, + -1.568304759156736, + -1.6954874182546478, + -1.824861627222712, + -1.9541454380216312, + -2.0810127917438046, + -2.203143975680312, + -2.3182762006395055, + -2.4242531187791196, + -2.5190721248292327, + -2.6009283341305847, + -2.6682542081863123, + -2.7197539005641014, + -2.7544315205193484, + -2.771612655618593, + -2.770958654431036, + -2.7524733421411685, + -2.7165020215395477, + -2.6637227949037965, + -2.59513042433638, + -2.512013124754387, + -2.4159228506389705, + -2.3086397907987584, + -2.192131921072036, + -2.0685105798084664, + -1.9399831223650843, + -1.8088037765348184, + -1.6772238592439688, + -1.5474425251226587, + -1.4215591994757595, + -1.3015288022641192, + -1.1891207971319122, + -1.0858830021239367, + -0.9931109789709759, + -0.9118236786730406, + -0.8427458660409236, + -0.7862976787131244, + -0.7425915010850581, + -0.7114361548946361, + -0.6923482303069716, + -0.6845702086067558, + -0.687094864278103, + -0.6986952843249188, + -0.7179597098165682, + -0.7433302920597105, + -0.7731447662139019, + -0.8056799807260252, + -0.839196183168479, + -0.8719809527748238, + -0.9023916873360068, + -0.9288955966240399, + -0.9501062249476194, + -0.9648156199729029, + -0.9720213811225178, + -0.9709479557233993, + -0.9610617011749917, + -0.9420793929465832, + -0.9139700271005193, + -0.8769499380151318, + -0.8314714227170813, + -0.7782052284350139, + -0.7180174155098011, + -0.6519412497440679, + -0.581144903095907, + -0.5068958462035664, + -0.43052289796710963, + -0.35337695428452626, + -0.27679144864584915, + -0.20204360089349938, + -0.13031748700477594, + -0.06266991286827321, + -5.58309738979578e-16 + ], + [ + 0, + 0.05453626092757085, + 0.10276906190569345, + 0.14452343946316942, + 0.17985292821744714, + 0.20903829556106054, + 0.23257986114071644, + 0.2511835913159973, + 0.26574132191871247, + 0.2773056169120258, + 0.28705991204617803, + 0.29628471771978687, + 0.3063207607870083, + 0.31853002829608146, + 0.3342557349570016, + 0.35478226898071885, + 0.3812961769261749, + 0.41484922712549704, + 0.45632454360249447, + 0.5064067292947488, + 0.5655568006155363, + 0.6339926373261628, + 0.7116755152480343, + 0.7983031379090962, + 0.8933094205555071, + 0.9958711101197362, + 1.1049211519616806, + 1.2191685428133623, + 1.3371242436582464, + 1.4571325704288747, + 1.5774073383401233, + 1.6960719109843814, + 1.8112022011686078, + 1.9208715895370532, + 2.0231966713911276, + 2.1163827132594353, + 2.1987676994943364, + 2.2688638756018635, + 2.3253957485878374, + 2.3673335840889695, + 2.3939215435736574, + 2.4046997299643516, + 2.3995195536348914, + 2.37855198939095, + 2.3422884648897107, + 2.2915342978524724, + 2.2273947790454867, + 2.1512541759496333, + 2.0647481039413194, + 1.969729873439993, + 1.868231568861823, + 1.7624207447193256, + 1.6545537326216628, + 1.5469266375725668, + 1.441825160725205, + 1.3414744171611404, + 1.2479899205089346, + 1.163330881191473, + 1.089256912367448, + 1.027289158468361, + 0.9786767575332332, + 0.9443694228159676, + 0.9249967844325379, + 0.9208549716398174, + 0.9319007445870652, + 0.9577533052304538, + 0.9977037349069177, + 1.0507318252560098, + 1.1155298941520333, + 1.1905330133146736, + 1.273954923308008, + 1.363828778372182, + 1.458051751180042, + 1.5544324388785766, + 1.6507399487865821, + 1.744753506366754, + 1.8343114203944388, + 1.9173582607389827, + 1.9919891522981796, + 2.0564901631451464, + 2.1093738639775133, + 2.1494092570194883, + 2.1756454125990663, + 2.187428307224664, + 2.1844105242608545, + 2.166553653115288, + 2.1341234008840817, + 2.087677607276436, + 2.0280475250040593, + 1.956312889475771, + 1.8737714496298292, + 1.7819037624601197, + 1.6823341640766296, + 1.576788917328031, + 1.4670525980252642, + 1.3549238171896176, + 1.2421713847201596, + 1.1304920003298675, + 1.0214705111172915, + 0.9165437029696715, + 0.8169684970194717, + 0.7237953050728094, + 0.6378471622956037, + 0.5597051049321959, + 0.4897000992567097, + 0.4279116594034153, + 0.37417312043874756, + 0.3280833633347487, + 0.2890246246444448, + 0.25618586977275254, + 0.2285910686347849, + 0.20513158969692669, + 0.18460182596565414, + 0.1657370869699411, + 0.1472527361414946, + 0.12788352457178787, + 0.10642207059409921, + 0.081755460003466, + 0.052898993311975145, + 0.019026182905880384, + -0.020505797636254958, + -0.0661358900260422, + -0.11808469439436829, + -0.17634616894666624, + -0.24068571504116304, + -0.31064470967467944, + -0.3855513787555157, + -0.46453773852564695, + -0.5465621732817683, + -0.6304370691840748, + -0.7148607902099052, + -0.7984531666172281, + -0.879793571590169, + -0.9574605904791135, + -1.0300722410677987, + -1.0963256838122484, + -1.1550353685490677, + -1.2051685986326055, + -1.245877554024185, + -1.2765269000574397, + -1.2967162163564148, + -1.3062966080324212, + -1.305381005672687, + -1.2943478181744477, + -1.2738377692510243, + -1.2447439202818753, + -1.2081950548006835, + -1.1655327689903785, + -1.1182827738361034, + -1.068121064017026, + -1.0168357424218208, + -0.9662854039582955, + -0.9183550751683168, + -0.8749107746678383, + -0.8377538018208425, + -0.8085758761828693, + -0.7889162376460955, + -0.7801217771025913, + -0.7833112007163998, + -0.7993441391211727, + -0.828795998224193, + -0.871939213555962, + -0.928731418516148, + -0.998810872113551, + -1.0814993178938719, + -1.1758122669423172, + -1.2804765185149483, + -1.3939545563902083, + -1.5144752917503987, + -1.6400704684168026, + -1.7686159073914893, + -1.8978766483323402, + -2.02555494875886, + -2.1493400298601673, + -2.2669584125488247, + -2.3762236700193706, + -2.475084433989106, + -2.561669530789826, + -2.6343291896224166, + -2.691671356995719, + -2.7325922664339166, + -2.756300548166918, + -2.762334316425675, + -2.7505708384347365, + -2.721228565181747, + -2.6748614852684094, + -2.612345945203258, + -2.5348602579572863, + -2.443857592132888, + -2.341032792554452, + -2.228283925633817, + -2.107669466045359, + -1.981362142091862, + -1.8516005332307086, + -1.7206395627466318, + -1.5907010503426313, + -1.463925482995906, + -1.3423261280044, + -1.2277465506328709, + -1.1218225117193568, + -1.0259491102127967, + -0.9412539046387911, + -0.8685765991937332, + -0.8084557182276805, + -0.7611225213024424, + -0.7265022340420796, + -0.7042224919911735, + -0.6936287200409352, + -0.6938060029620973, + -0.7036068472861581, + -0.7216840949937431, + -0.7465281285995942, + -0.7765074081910837, + -0.809911306156849, + -0.8449941565044653, + -0.8800194139328202, + -0.9133028236423285, + -0.9432535359955483, + -0.9684121596648435, + -0.987484831250278, + -0.9993724863340258, + -1.0031946438110548, + -0.9983071588645438, + -0.984313556493614, + -0.9610697230889349, + -0.928681904008539, + -0.8874981261380742, + -0.8380933317269015, + -0.7812486691746788, + -0.7179255339095425, + -0.6492350843602744, + -0.5764040709905933, + -0.5007379076220287, + -0.42358198155992655, + -0.3462822406973771, + -0.27014611079277956, + -0.19640478415747906, + -0.12617788238916325, + -0.06044143155310813, + -5.363898026253221e-16 + ], + [ + 0, + 0.05205928536736493, + 0.09777143066292875, + 0.13707858084900412, + 0.17014998068900433, + 0.19737716208639763, + 0.21936284190886415, + 0.23690381290666068, + 0.25096826793802995, + 0.26266814422364826, + 0.2732272060372154, + 0.2839456977419146, + 0.29616249149939433, + 0.311215722934263, + 0.33040295174606704, + 0.3549419015689306, + 0.3859328237957549, + 0.4243234937940009, + 0.4708777858000554, + 0.5261486862962722, + 0.5904564969700373, + 0.6638728501100413, + 0.7462110146887894, + 0.8370228140058367, + 0.9356023095437267, + 1.040996234768132, + 1.152020991261169, + 1.2672858521079975, + 1.3852218580696591, + 1.5041157447853009, + 1.622148107777022, + 1.7374348997173257, + 1.848071264129292, + 1.9521766437485166, + 2.0479400619080774, + 2.1336644625941394, + 2.2078090096686624, + 2.2690282878925063, + 2.3162074168549673, + 2.3484921821175266, + 2.365313403587624, + 2.3664048965679423, + 2.351814532799863, + 2.321908073445139, + 2.2773656193136493, + 2.2191707015103357, + 2.148592213684518, + 2.0671595608522773, + 1.9766315650555568, + 1.8789598208508498, + 1.7762473300183763, + 1.6707033615785454, + 1.5645955773041544, + 1.4602005320834737, + 1.3597537009895562, + 1.265400199665568, + 1.179147351245148, + 1.1028202117806916, + 1.0380210980242763, + 0.9860940680281434, + 0.9480951886564077, + 0.924769287543385, + 0.9165337336082953, + 0.9234696236667355, + 0.9453205770140747, + 0.981499159365451, + 1.0311007766097549, + 1.0929247018690746, + 1.1655017306503508, + 1.2471278025282666, + 1.3359027875986125, + 1.4297735152827706, + 1.5265800248584074, + 1.624103943698545, + 1.7201178523700724, + 1.8124344765697828, + 1.8989545547783582, + 1.977712267218083, + 2.046917175254983, + 2.1049917091789343, + 2.1506033540976963, + 2.182690815702557, + 2.2004835966219387, + 2.203514576282091, + 2.191625358628695, + 2.164964328498558, + 2.1239775345200855, + 2.06939268981153, + 2.0021967471839046, + 1.923607658993298, + 1.8350410694825743, + 1.7380728060601753, + 1.6343981326184982, + 1.5257888003808147, + 1.41404897817481, + 1.3009711634018424, + 1.188293166915969, + 1.0776572298400822, + 0.9705722689957837, + 0.8683801617249474, + 0.7722268726581073, + 0.6830390972120581, + 0.6015069525325565, + 0.5280730898929169, + 0.4629284371787512, + 0.40601461020513785, + 0.35703286150111724, + 0.31545926913140854, + 0.2805657102712569, + 0.25144601855880044, + 0.2270465943606107, + 0.20620062623796168, + 0.1876649928494095, + 0.17015884947370377, + 0.15240286388443117, + 0.1331580534074163, + 0.11126318892849638, + 0.08566977200211692, + 0.05547365698461437, + 0.019942479585926622, + -0.021461835889827828, + -0.0690660888885032, + -0.12297478806785261, + -0.18306540706381252, + -0.2489900437662339, + -0.3201834488558045, + -0.39587722267984804, + -0.47511981788260915, + -0.556801832663487, + -0.6396859399945216, + -0.7224406751415717, + -0.8036772005425219, + -0.8819880861480689, + -0.9559870868135916, + -1.0243488677189156, + -1.0858476249114226, + -1.139393571070128, + -1.1840663059520178, + -1.219144165521558, + -1.2441287416600166, + -1.2587638831940453, + -1.2630486258336413, + -1.257243650072165, + -1.2418710284068362, + -1.2177071923390845, + -1.1857692212844086, + -1.147294725461424, + -1.1037157587748254, + -1.0566273515317441, + -1.0077513926547517, + -0.9588967133363814, + -0.9119163257082223, + -0.8686628484679966, + -0.8309432044892312, + -0.8004737018229726, + -0.7788366084424759, + -0.7674393025125241, + -0.7674770245003152, + -0.7799001763677736, + -0.8053870083165288, + -0.8443224076079836, + -0.8967833598925453, + -0.9625314947497203, + -1.0410129576288512, + -1.1313656742268543, + -1.2324338948545863, + -1.3427897299030604, + -1.4607612174573321, + -1.5844663046036704, + -1.7118519789644355, + -1.8407376600556549, + -1.9688618543357885, + -2.0939309959249535, + -2.21366933896498, + -2.3258687388709784, + -2.428437159037491, + -2.5194447669606905, + -2.597166538589738, + -2.6601203707181313, + -2.707099806421472, + -2.7372006053994653, + -2.7498405365136085, + -2.744771930298505, + -2.72208670086511, + -2.6822137252366978, + -2.6259086494197117, + -2.554236370005265, + -2.4685466134603495, + -2.3704431982901406, + -2.261747713978297, + -2.1444584814382877, + -2.020705769472467, + -1.8927043277936964, + -1.7627043574559256, + -1.6329420726378088, + -1.505591012868738, + -1.382715241906709, + -1.2662255191868481, + -1.157839453345313, + -1.0590465467111811, + -0.9710789173664713, + -0.8948883444467981, + -0.831130126291496, + -0.7801540737164253, + -0.7420027862096632, + -0.7164171815423362, + -0.7028490735072375, + -0.7004804225631835, + -0.7082487242367401, + -0.7248778541220473, + -0.7489135597786435, + -0.7787626818712887, + -0.8127351021231236, + -0.8490873560823484, + -0.8860668157221738, + -0.9219553412305924, + -0.9551113230471151, + -0.9840090836351778, + -1.0072746823453034, + -1.023717264099084, + -1.0323552110011558, + -1.0324364923402556, + -1.023452759305216, + -1.0051468922957667, + -0.97751387687114, + -0.9407950549144866, + -0.8954659662094685, + -0.8422181580949488, + -0.7819354931133794, + -0.7156656227909467, + -0.6445874164324793, + -0.5699752340758676, + -0.4931610100415814, + -0.415495165925375, + -0.33830739813666183, + -0.2628683845605351, + -0.1903534276709308, + -0.12180899817176807, + -0.05812306537126562, + -5.138764760463587e-16 + ], + [ + 0, + 0.0495660943227184, + 0.0927964679716602, + 0.1297492727456427, + 0.16070641426653662, + 0.1861652738116317, + 0.20682431929389192, + 0.22356297693420754, + 0.23741628594286832, + 0.24954499608842273, + 0.26120188887659584, + 0.2736952041045066, + 0.28835013220678496, + 0.3064693870425601, + 0.3292939021704963, + 0.3579646954564488, + 0.39348692195649854, + 0.436697083989976, + 0.48823429139302643, + 0.5485163659811353, + 0.6177214646882592, + 0.6957757586513981, + 0.7823475540810156, + 0.8768480788712552, + 0.97843899060023, + 1.0860464910596168, + 1.198381764007858, + 1.313967290693601, + 1.4311684459282592, + 1.548229639931469, + 1.6633141513170984, + 1.774546697483508, + 1.8800577128628306, + 1.9780282549390515, + 2.066734434008311, + 2.1445902660137337, + 2.2101878784511184, + 2.2623340566433976, + 2.3000822002909826, + 2.3227588661619745, + 2.3299841995481585, + 2.321685701616831, + 2.2981049385266523, + 2.2597969672807694, + 2.20762242863129, + 2.1427324346330323, + 2.0665465533219316, + 1.9807243611672267, + 1.8871311912759068, + 1.787798847933085, + 1.6848821824183051, + 1.5806125280647267, + 1.4772490716642934, + 1.377029291589608, + 1.282119619057303, + 1.19456747711909, + 1.1162558222402423, + 1.0488612563992596, + 0.9938166948726895, + 0.9522794682454528, + 0.9251056092851275, + 0.9128309292363632, + 0.9156593273732909, + 0.9334586061969619, + 0.9657638866484258, + 1.0117885374536666, + 1.0704423546064297, + 1.1403565553576869, + 1.2199149900850432, + 1.3072908289684144, + 1.4004878520480795, + 1.4973853640907544, + 1.5957856723198136, + 1.693463007473982, + 1.7882127382076782, + 1.8778997262321568, + 1.9605046948329559, + 2.034167535815842, + 2.0972265581949627, + 2.1482527840749177, + 2.186078520641735, + 2.2098195788952406, + 2.2188906662124617, + 2.213013647158131, + 2.192218541022946, + 2.1568373010844804, + 2.107490595208738, + 2.0450679758574344, + 1.9707019857132388, + 1.8857368891220365, + 1.7916928458750345, + 1.6902264494564578, + 1.5830886342258113, + 1.4720810131303013, + 1.3590117381249116, + 1.2456519788482705, + 1.1336940912714628, + 1.0247124976898594, + 0.9201282239073915, + 0.8211779407340208, + 0.7288882375195397, + 0.6440557184279077, + 0.5672333609969563, + 0.4987234150542302, + 0.4385769523461642, + 0.3866000075080001, + 0.34236608352049525, + 0.305234633767344, + 0.27437498225582646, + 0.2487950072542284, + 0.22737379493181314, + 0.20889737151116253, + 0.1920965473882643, + 0.17568585649101973, + 0.15840255005296902, + 0.13904460653992934, + 0.11650674857612205, + 0.08981351259864809, + 0.05814849620260023, + 0.020879009689384356, + -0.022424520396890323, + -0.07197491005599761, + -0.12776070222443758, + -0.18954497974406806, + -0.2568705443476843, + -0.3290713325624192, + -0.4052897761082934, + -0.48449965841123366, + -0.565533874222118, + -0.6471163697169211, + -0.7278974291533613, + -0.8064913840226559, + -0.881515753977108, + -0.9516307873621952, + -1.0155783540298395, + -1.0722191546918634, + -1.1205672491510492, + -1.1598209694175363, + -1.1893893714315558, + -1.2089134887143165, + -1.2182817800489636, + -1.2176393080583583, + -1.2073903426948076, + -1.1881942492704736, + -1.1609546905976216, + -1.1268023428204106, + -1.087071490338647, + -1.043271022679292, + -0.997050501292911, + -0.9501620933691278, + -0.9044192795970831, + -0.8616533305372341, + -0.8236686096564475, + -0.7921977984471756, + -0.7688581493845846, + -0.7551098554234207, + -0.7522175806287695, + -0.7612161263736202, + -0.7828811129710136, + -0.817705439897884, + -0.8658821517227707, + -0.9272941847660158, + -1.0015113050979667, + -1.087794375729572, + -1.1851069139954526, + -1.2921337235066652, + -1.4073062129958231, + -1.5288338511226103, + -1.6547410558765079, + -1.7829086833186631, + -1.9111191663597353, + -2.0371042629048297, + -2.158594306286749, + -2.273367811121872, + -2.3793002755734096, + -2.4744110368338967, + -2.5569070800939784, + -2.625222771323401, + -2.6780545791742996, + -2.7143899689366675, + -2.733529788885913, + -2.7351036232311303, + -2.7190777524649254, + -2.6857555371833715, + -2.6357702211279, + -2.5700703289309166, + -2.489898009455123, + -2.39676084244073, + -2.2923977803649587, + -2.178740035235112, + -2.0578678381447895, + -1.9319640949708732, + -1.8032660322813758, + -1.6740159716759537, + -1.5464123873586164, + -1.422562390390651, + -1.30443674412017, + -1.1938284497387512, + -1.0923158504329584, + -1.0012310894455407, + -0.9216346243580781, + -0.8542963503563706, + -0.7996837228464807, + -0.757957098565901, + -0.7289723385036845, + -0.7122905398338407, + -0.7071945920039241, + -0.7127120883228975, + -0.7276439728637415, + -0.7505981669297023, + -0.7800273030189243, + -0.8142695999675075, + -0.8515918430104726, + -0.8902333885211917, + -0.9284500961729162, + -0.9645571015405091, + -0.9969693793773288, + -1.0242391109444213, + -1.04508895617724, + -1.0584404408894754, + -1.06343679783243, + -1.059459744976645, + -1.0461398411959217, + -1.0233602246491285, + -0.9912537084102454, + -0.9501933770347137, + -0.9007769925241031, + -0.8438056744326653, + -0.780257462739374, + -0.7112564999965393, + -0.6380386779759771, + -0.5619146808678084, + -0.48423141989954327, + -0.40633289149465146, + -0.3295215018851708, + -0.2550208852029298, + -0.18394119994047886, + -0.11724782139805504, + -0.05573425705053005, + -4.909565874815416e-16 + ], + [ + 0, + 0.047076878718929654, + 0.0878838508380211, + 0.12259293686679143, + 0.15159466908517913, + 0.17548646019065206, + 0.19505509052845812, + 0.21125377013022711, + 0.22517437450413433, + 0.2380155806472168, + 0.25104773883572007, + 0.2655754036034827, + 0.28289851168473523, + 0.3042732339091113, + 0.33087354105745115, + 0.3637545101393718, + 0.403818357727748, + 0.45178412183256395, + 0.5081618249064496, + 0.5732318401348362, + 0.6470300539080532, + 0.7293392725107672, + 0.8196871642031655, + 0.9173508629230528, + 1.0213681909334575, + 1.1305552891089339, + 1.2435302794296887, + 1.358742428766607, + 1.4745061401157011, + 1.5890389706962154, + 1.7005027689852805, + 1.807046937570266, + 1.9068527678584006, + 1.998177757791605, + 2.079398815730312, + 2.149053272884504, + 2.2058766726992296, + 2.2488363773951856, + 2.27716012773076, + 2.2903588096981666, + 2.288242818456378, + 2.270931562026013, + 2.2388558114210317, + 2.1927527759615875, + 2.133653958290347, + 2.0628660187902206, + 1.9819450493701858, + 1.8926648177566372, + 1.7969796915256706, + 1.6969830824775685, + 1.5948623633344952, + 1.4928512973689685, + 1.393181085231713, + 1.2980311703412226, + 1.209480953772136, + 1.1294635513578115, + 1.0597226801085742, + 1.001773689116943, + 0.9568696535970181, + 0.9259733319129331, + 0.9097356472639407, + 0.9084812014604983, + 0.9222011616902565, + 0.9505536863808249, + 0.9928718774659493, + 1.0481790679000071, + 1.1152110794804182, + 1.1924449211513863, + 1.2781332459787633, + 1.3703437495906858, + 1.4670025773497382, + 1.565940714649019, + 1.6649422667387603, + 1.7617934930128862, + 1.8543314466856566, + 1.940491084562437, + 2.0183497527697454, + 2.0861680218006198, + 2.1424259363505143, + 2.1858538598625166, + 2.215457227620474, + 2.2305346723025767, + 2.230689148422523, + 2.215831853028075, + 2.186178915184827, + 2.142241001838258, + 2.084806158322111, + 2.014916363885627, + 1.9338384321858368, + 1.843030020091756, + 1.7441016221399206, + 1.6387755198172673, + 1.5288427223341214, + 1.4161189771010547, + 1.3024009427985361, + 1.18942360545653, + 1.078819978744841, + 0.9720840647803641, + 0.8705379628857758, + 0.7753039031795864, + 0.6872818524685784, + 0.6071331949419145, + 0.535270833304513, + 0.4718558911968036, + 0.416801029179524, + 0.3697802184529906, + 0.3302446530470267, + 0.2974443265526407, + 0.2704546574346715, + 0.24820742110764807, + 0.22952514040565186, + 0.21315800147222352, + 0.1978223015250421, + 0.1822393998925639, + 0.16517413501352507, + 0.14547168790945517, + 0.12209191649232273, + 0.09414025380688038, + 0.06089435515793684, + 0.02182579168377041, + -0.023383781565836148, + -0.07483240992794178, + -0.1323938467471825, + -0.19571989241703963, + -0.26424900731452666, + -0.33722097690393116, + -0.4136972486858737, + -0.492586411696427, + -0.5726741537062248, + -0.6526569125838869, + -0.7311783395017404, + -0.8068676153052786, + -0.8783786094093518, + -0.9444288443794628, + -1.0038372296145952, + -1.0555595543129817, + -1.0987207825512337, + -1.1326432705661673, + -1.1568701263027577, + -1.1711830515126234, + -1.1756141441746448, + -1.1704512903434816, + -1.1562369359400688, + -1.133760196448326, + -1.1040424317823185, + -1.0683165804916324, + -1.0280007077838835, + -0.9846663715228178, + -0.9400025456248567, + -0.8957759576952151, + -0.8537887943224065, + -0.8158348007058484, + -0.7836548493190262, + -0.7588930738276072, + -0.7430546588615078, + -0.7374663435287871, + -0.7432406374764666, + -0.761244664224382, + -0.792074439420735, + -0.8360352641645064, + -0.893128768693758, + -0.9630469830691646, + -1.0451736428571623, + -1.1385927633590316, + -1.2421043399151073, + -1.3542468585584304, + -1.473326135060513, + -1.5974498452986987, + -1.7245669697095773, + -1.8525112528426604, + -1.9790476787135123, + -2.101920886273068, + -2.2189043987728128, + -2.3278495173950806, + -2.426732733849633, + -2.513700548649559, + -2.587110640727853, + -2.645568418538278, + -2.6879580907695395, + -2.713467523683107, + -2.7216062987415053, + -2.712216545068089, + -2.685476292464725, + -2.6418952680504035, + -2.582303238760947, + -2.507831178611833, + -2.419885709479249, + -2.320117423073001, + -2.210383835902429, + -2.0927078548801092, + -1.9692327357255601, + -1.8421745970032941, + -1.7137736075245074, + -1.5862449926603106, + -1.4617310052219359, + -1.342254979006103, + -1.2296785286053469, + -1.1256628790271714, + -1.03163520506189, + -0.9487607357705645, + -0.8779212370266541, + -0.8197003282661833, + -0.7743759223569359, + -0.7419199039125387, + -0.7220049857259551, + -0.7140185095951934, + -0.7170827909138808, + -0.7300814500835251, + -0.7516910318859968, + -0.7804170898831297, + -0.8146338096860885, + -0.8526261650387909, + -0.8926335459828431, + -0.9328937701828709, + -0.9716863873982838, + -1.0073742130244299, + -1.0384420788558442, + -1.0635318663589226, + -1.0814729877766687, + -1.0913076007546407, + -1.0923099798054818, + -1.0839996193257917, + -1.0661478042151855, + -1.038777551353837, + -1.0021569940649848, + -0.9567864479822147, + -0.9033795562905184, + -0.8428390611240817, + -0.7762278822673784, + -0.7047363008732074, + -0.629646141786474, + -0.5522929208747949, + -0.4740269717272575, + -0.3961745880282669, + -0.32000021333708645, + -0.24667067906534323, + -0.17722243496677414, + -0.1125326359005409, + -0.05329484607055901, + -4.678182516238691e-16 + ], + [ + 0, + 0.044611510877342136, + 0.08307211292779544, + 0.11566455145898441, + 0.1428830144077662, + 0.16541828923471164, + 0.18413731595511876, + 0.2000576722397225, + 0.21431766004362474, + 0.22814277973365749, + 0.24280947420881846, + 0.2596070995734766, + 0.2797991286203423, + 0.3045846174131563, + 0.33506096297587346, + 0.3721889515054845, + 0.4167610423010528, + 0.46937375405910886, + 0.5304049192554703, + 0.5999964515115686, + 0.6780431331287834, + 0.7641877787956032, + 0.8578229706020377, + 0.9580993929561016, + 1.0639406279606252, + 1.174064106493413, + 1.2870077517985419, + 1.401161704837048, + 1.5148043876936959, + 1.6261420463689429, + 1.7333508202361363, + 1.8346203147332127, + 1.9281976083293055, + 2.0124306056808745, + 2.0858096567359685, + 2.147006396257107, + 2.194908819042976, + 2.228651691617524, + 2.2476415092874222, + 2.251575335644886, + 2.240453006710126, + 2.2145823404377447, + 2.1745771603866713, + 2.121348115862233, + 2.0560864555276814, + 1.9802410830594872, + 1.8954893876630936, + 1.8037024951236547, + 1.7069057227630118, + 1.6072351407999423, + 1.5068912402071108, + 1.408090780791682, + 1.313017941048912, + 1.2237759121326115, + 1.1423400714984853, + 1.0705138375275738, + 1.0098882455225318, + 0.9618061993393953, + 0.927332243640629, + 0.9072285719697161, + 0.9019378386950353, + 0.9115731819200131, + 0.9359156936154879, + 0.9744193966499848, + 1.0262236103663724, + 1.0901724112068991, + 1.1648407268797316, + 1.2485664457701995, + 1.3394877815342576, + 1.4355850095062694, + 1.5347255896902237, + 1.6347116131380373, + 1.733328456318827, + 1.8283935028841598, + 1.9178037946089823, + 1.9995815031321564, + 2.0719161706575195, + 2.1332027495748895, + 2.1820745759724316, + 2.2174305376216, + 2.2384558401067998, + 2.2446359318024167, + 2.2357633154922576, + 2.211937147462356, + 2.1735556996204646, + 2.1213019323145095, + 2.056122590819877, + 1.9792013929013164, + 1.8919270146648188, + 1.7958567037030855, + 1.692676449362369, + 1.5841587174006444, + 1.47211880853315, + 1.3583709261657004, + 1.2446850374501404, + 1.1327455837817892, + 1.0241130427826604, + 0.9201892651096375, + 0.8221874081348801, + 0.7311071672650525, + 0.6477158674867913, + 0.5725358261520951, + 0.50583823687977, + 0.4476436578083399, + 0.39772901948156897, + 0.3556409025942358, + 0.32071467780594504, + 0.292098952794053, + 0.2687846393304251, + 0.2496378387243673, + 0.23343565031433208, + 0.21890393712654183, + 0.20475603707934772, + 0.18973138830203212, + 0.17263304370716104, + 0.15236308269428964, + 0.12795498589995688, + 0.09860212073898145, + 0.06368158900239383, + 0.022772810340655977, + -0.024329646057875805, + -0.07760931840827386, + -0.13682737527175737, + -0.20152841793933632, + -0.2710524114082013, + -0.34455243264101265, + -0.4210177722383162, + -0.4993017848738665, + -0.5781537584239921, + -0.6562539648621702, + -0.7322509704203558, + -0.8048002204362885, + -0.8726028773186932, + -0.934443879147317, + -0.9892282019040639, + -1.0360143498637713, + -1.074044165260773, + -1.1027681383618853, + -1.1218655102978239, + -1.1312585906772792, + -1.131120856907042, + -1.1218785586559183, + -1.104205715120141, + -1.0790125605633631, + -1.0474276608066277, + -1.0107740857314897, + -0.9705401763424876, + -0.9283455856376851, + -0.8859033968922112, + -0.8449792278048837, + -0.8073483116061515, + -0.7747516045384176, + -0.7488520015599904, + -0.7311917477945934, + -0.7231521119162833, + -0.7259163397620172, + -0.7404368330987962, + -0.7674074013715785, + -0.8072413157465061, + -0.8600557577016377, + -0.9256631021300464, + -1.003569311117106, + -1.0929795432370735, + -1.1928109085794194, + -1.301712126048484, + -1.4180896710516588, + -1.5401398426505972, + -1.6658860335219416, + -1.7932203572639411, + -1.9199486788862432, + -2.0438380084371732, + -2.1626651568032047, + -2.2742655182963123, + -2.376580837615321, + -2.4677048393438237, + -2.545925645870853, + -2.609763983364398, + -2.658006273427761, + -2.689731827963611, + -2.7043335036618132, + -2.701531327049009, + -2.6813787674406724, + -2.644261509377999, + -2.5908887539777696, + -2.522277255750033, + -2.4397284735405034, + -2.344799377149973, + -2.2392676009163566, + -2.125091768484364, + -2.0043679259141074, + -1.879283110466613, + -1.7520671476823115, + -1.6249438081822472, + -1.5000824670641892, + -1.3795513926016192, + -1.2652737476252072, + -1.158987317581015, + -1.0622088855621694, + -0.9762040589407837, + -0.9019632174591362, + -0.8401841021133871, + -0.7912614016001546, + -0.7552835225070624, + -0.7320365550132434, + -0.72101527191158, + -0.7214408295383653, + -0.7322846788399313, + -0.7522980472341284, + -0.7800462207283599, + -0.8139467441137118, + -0.8523105676552031, + -0.8933851036737951, + -0.9353981172911061, + -0.9766013632623525, + -1.0153128954709796, + -1.049957016843797, + -1.0791009040543615, + -1.101487031672562, + -1.1160606320624111, + -1.121991557474462, + -1.118690056116897, + -1.105816130840811, + -1.0832823134830112, + -1.051249855735155, + -1.0101185044365266, + -0.9605101912323358, + -0.903247119546316, + -0.8393248719653911, + -0.76988128493386, + -0.696161942029456, + -0.619483219459782, + -0.5411938757477026, + -0.4626362104469527, + -0.38510782336423216, + -0.30982498604172753, + -0.23788859171717494, + -0.1702535798184509, + -0.10770263807634543, + -0.050824871935045784, + -4.446490257965839e-16 + ], + [ + 0, + 0.04218935357197776, + 0.07839827907974438, + 0.10901613722844748, + 0.13463492064785304, + 0.15603136793669403, + 0.1741437964338527, + 0.19004426371973177, + 0.2049067911430629, + 0.21997248729369379, + 0.23651249262711727, + 0.25578972625398916, + 0.2790204506895347, + 0.30733667919426244, + 0.3417504329616467, + 0.3831208122126343, + 0.4321247772832503, + 0.4892324447069821, + 0.5546875913481412, + 0.6284939296137598, + 0.710407571896159, + 0.7999359462907216, + 0.8963432621964761, + 0.9986624577348299, + 1.105713395197051, + 1.216126910121653, + 1.3283741681567842, + 1.440800645407868, + 1.5516639260182412, + 1.659174408387549, + 1.7615379313235058, + 1.8569992756237303, + 1.9438854665705911, + 2.020647799430202, + 2.0859015334528173, + 2.138462249586553, + 2.1773779419953097, + 2.201956011743643, + 2.211784450320588, + 2.206746638138816, + 2.187029335426893, + 2.1531236063187307, + 2.1058185874409356, + 2.04618818572725, + 1.9755709622900468, + 1.8955436257170224, + 1.8078887150307257, + 1.714557195874421, + 1.6176268197213342, + 1.5192572019121549, + 1.4216426574663075, + 1.3269638918033626, + 1.23733967527893, + 1.154779634958894, + 1.0811392741689776, + 1.0180782805778386, + 0.9670231080759714, + 0.9291347183058712, + 0.9052822467752353, + 0.8960232189672632, + 0.9015907871306517, + 0.9218882922409967, + 0.9564912820115871, + 1.0046569390141715, + 1.0653406972475614, + 1.1372196551354599, + 1.218722232084602, + 1.3080633682965637, + 1.403284437078189, + 1.5022969285960037, + 1.6029288765335286, + 1.702972936541286, + 1.8002349892095744, + 1.8925821313880236, + 1.9779889381989049, + 2.054580923546265, + 2.1206741981536914, + 2.1748104193825224, + 2.215786243916487, + 2.2426766299476535, + 2.2548514864069515, + 2.251985329323192, + 2.2340597755607825, + 2.2013588777912956, + 2.154457477333775, + 2.094202919218004, + 2.0216906323816874, + 1.9382342234388226, + 1.8453308614139692, + 1.7446228401040884, + 1.6378562916774086, + 1.5268380876763827, + 1.413392000296187, + 1.299315206841692, + 1.1863362034670946, + 1.0760751511822713, + 0.9700076088282894, + 0.8694325160642669, + 0.7754451767280045, + 0.6889158621102232, + 0.61047450803888, + 0.5405018228891558, + 0.4791269596697657, + 0.4262317383110879, + 0.3814612383868204, + 0.34424042189369153, + 0.31379629440748985, + 0.2891849747027387, + 0.2693229212077823, + 0.2530214614870838, + 0.23902369082389263, + 0.22604274988734757, + 0.21280046077099626, + 0.19806529610760726, + 0.18068867756406676, + 0.15963864720807278, + 0.13403002678058434, + 0.10315027395834805, + 0.06648035883851464, + 0.023710115207357014, + -0.02525233367836387, + -0.0802773197582527, + -0.14101662873639922, + -0.2069126724004634, + -0.2772135929967553, + -0.350993902582597, + -0.42718011500186615, + -0.5045806966564181, + -0.5819195479224415, + -0.6578721328034732, + -0.7311033026342001, + -0.8003058121997694, + -0.864238504751916, + -0.9217631466809195, + -0.971878922978409, + -1.0137536603811368, + -1.0467509248610969, + -1.0704522419584086, + -1.0846738098184057, + -1.0894772126768903, + -1.0851737935014485, + -1.0723225047714726, + -1.0517212219542573, + -1.0243916709578298, + -0.9915582845245543, + -0.9546214590523674, + -0.9151258287421613, + -0.8747243045897093, + -0.8351387382485554, + -0.7981181623121516, + -0.7653956267410372, + -0.7386446942129489, + -0.71943667394068, + -0.7091996634763055, + -0.7091804313579827, + -0.7204101109763131, + -0.7436745892033015, + -0.7794903642081775, + -0.8280865181075806, + -0.889393304782686, + -0.9630376948788176, + -1.0483460525490491, + -1.1443539460116112, + -1.249822920693705, + -1.36326389389171, + -1.4829666676735451, + -1.6070349061859819, + -1.7334257883309145, + -1.8599934302923058, + -1.9845350775252295, + -2.1048389949302493, + -2.2187329388133956, + -2.3241320760271895, + -2.419085224895177, + -2.5018183289618743, + -2.5707741374355737, + -2.624647153907231, + -2.662413025428582, + -2.683351674649936, + -2.6870636252914304, + -2.673479132172746, + -2.642859897447756, + -2.5957933304417744, + -2.5331794852980822, + -2.456210984208939, + -2.3663464001157295, + -2.265277727377615, + -2.154892708274858, + -2.0372329039535506, + -1.9144484976115461, + -1.7887508929800262, + -1.6623642206668328, + -1.5374768875254479, + -1.4161942993857832, + -1.3004938553906493, + -1.1921832536549013, + -1.0928630644789623, + -1.003894420991323, + -0.9263725505111249, + -0.86110672624927, + -0.8086070617571917, + -0.7690784036650585, + -0.7424214058357362, + -0.728240694335544, + -0.7258598618504414, + -0.7343428665385252, + -0.7525212578038447, + -0.779026513817108, + -0.8123266561362765, + -0.8507662083782273, + -0.8926084909186783, + -0.9360791938238804, + -0.9794101467889497, + -1.0208822082639704, + -1.0588662260138106, + -1.0918610772439004, + -1.118527876655672, + -1.137719543294772, + -1.1485050391960798, + -1.1501877315028415, + -1.1423174814294987, + -1.1246962243181655, + -1.0973769710565802, + -1.0606563281091521, + -1.0150607971767118, + -0.9613272719467305, + -0.9003782946177149, + -0.8332927652607736, + -0.7612729093775882, + -0.6856084004459072, + -0.6076386025568868, + -0.5287139417728733, + -0.4501574325236597, + -0.3732273768179496, + -0.29908221953880215, + -0.22874848353353594, + -0.16309262514499626, + -0.1027975463977683, + -0.048344376921093585, + -4.2163408567789886e-16 + ], + [ + 0, + 0.03982907570372447, + 0.07389751785669922, + 0.10269627704915683, + 0.12690848460107879, + 0.14738871823365926, + 0.16513735062092785, + 0.18127065865321976, + 0.1969874833672892, + 0.21353332248449053, + 0.23216280699454603, + 0.25410155843889176, + 0.2805084433054509, + 0.31243923470691903, + 0.3508126593921575, + 0.396379750901468, + 0.4496973487205764, + 0.5111064806125947, + 0.5807162434584379, + 0.6583936599461605, + 0.7437598377608218, + 0.836192598305737, + 0.934835577431212, + 1.0386136352870974, + 1.1462542504079662, + 1.2563144185661022, + 1.3672124336917792, + 1.4772637998913731, + 1.5847204135542607, + 1.687812065543944, + 1.7847892478130385, + 1.873966208184926, + 1.9537631826053417, + 2.022746746335054, + 2.0796672641188874, + 2.123492483459105, + 2.1534364032386937, + 2.168982659978953, + 2.169901803323918, + 2.156261977786163, + 2.128432685822453, + 2.087081474072388, + 2.0331635560032817, + 1.967904556051462, + 1.8927767284060584, + 1.8094691637035532, + 1.7198526451349407, + 1.6259399481431849, + 1.5298424917143065, + 1.4337243414068659, + 1.3397546324166751, + 1.2500595234176048, + 1.1666748075656574, + 1.09150029546944, + 1.0262570463508744, + 0.9724484589434487, + 0.9313261444403242, + 0.9038613921540626, + 0.8907229071770687, + 0.892261351416355, + 0.9085010585039079, + 0.9391391231601284, + 0.983551890740845, + 1.0408086971782964, + 1.1096925376002655, + 1.1887271777585062, + 1.276210070006219, + 1.3702502986347065, + 1.468810661231444, + 1.5697528962149683, + 1.670884994163733, + 1.770009483725786, + 1.8649715628821282, + 1.9537059535895238, + 2.0342813921303953, + 2.104941727967574, + 2.1641426890192212, + 2.2105834789102348, + 2.243232499248039, + 2.2613466341560056, + 2.2644836916155033, + 2.252507762739312, + 2.2255874318258275, + 2.1841869427066034, + 2.129050596265544, + 2.0611808159323495, + 1.981810468482588, + 1.8923701629485616, + 1.7944513675740412, + 1.6897662807073557, + 1.5801054640253185, + 1.467294293804415, + 1.353149307021368, + 1.2394355134411001, + 1.1278257127664835, + 1.019862798267478, + 0.9169259465953725, + 0.8202014898334401, + 0.7306591428909232, + 0.6490341202393811, + 0.575815524240784, + 0.5112412267539286, + 0.45529930037008726, + 0.40773588967069707, + 0.3680692504766629, + 0.33560953023139656, + 0.3094837192905434, + 0.2886650745493637, + 0.2720062067099878, + 0.2582749332994252, + 0.24619193349026527, + 0.2344691994606902, + 0.2218482634467191, + 0.20713719012808904, + 0.18924536023502578, + 0.1672151323046011, + 0.14024955376832948, + 0.10773539785060085, + 0.0692609264064659, + 0.024627917673098028, + -0.02614235158273102, + -0.08280932169516461, + -0.14491955352514507, + -0.21181914784695188, + -0.2826718514226139, + -0.35648237146558603, + -0.4321242833681108, + -0.5083717954188971, + -0.5839345318556016, + -0.6574944145951187, + -0.7277436664422156, + -0.7934229259821084, + -0.8533584575770639, + -0.9064974591238172, + -0.9519405150453751, + -0.9889703113017564, + -1.0170758213055062, + -1.0359712842405762, + -1.0456094276094297, + -1.0461885306256413, + -1.0381530807120412, + -1.0221879379628427, + -0.9992060879061756, + -0.9703302271048637, + -0.9368685849256941, + -0.9002855341856113, + -0.8621676795686976, + -0.8241862322442878, + -0.7880565789554058, + -0.7554960314250746, + -0.7281807952318027, + -0.7077032249215481, + -0.6955304332748393, + -0.6929652972146152, + -0.7011108513636026, + -0.7208389839290239, + -0.7527642502162399, + -0.7972234990367003, + -0.8542618694818561, + -0.9236255633325255, + -1.00476163547564, + -1.0968248750927574, + -1.1986916782271722, + -1.3089806418602032, + -1.4260794450303542, + -1.5481774278731661, + -1.673303138568592, + -1.799365994547782, + -1.9242011010059366, + -2.0456161893690266, + -2.1614395828886206, + -2.269568067399081, + -2.3680135432285163, + -2.4549473594086373, + -2.5287412831101475, + -2.588004134418216, + -2.631613217309668, + -2.6587397995747826, + -2.6688680344961844, + -2.661806871962452, + -2.637694672597357, + -2.5969964113979365, + -2.5404935330936897, + -2.469266695693578, + -2.384671807240728, + -2.2883099195505485, + -2.1819916878100947, + -2.0676972328440284, + -1.947532350506472, + -1.8236820974365398, + -1.6983628422795138, + -1.5737739049961619, + -1.4520499132787463, + -1.3352149842467707, + -1.2251397920592835, + -1.123502509058744, + -1.031754511381794, + -0.951091622040548, + -0.8824315282185494, + -0.8263978583075312, + -0.7833112417662709, + -0.7531875052119485, + -0.7357429854296034, + -0.7304067684454548, + -0.7363394976570771, + -0.7524582373088577, + -0.7774667341647676, + -0.8098902935471423, + -0.8481143790441998, + -0.8904259607083496, + -0.9350565764815414, + -0.9802260372945286, + -1.0241856985541398, + -1.0652602396571784, + -1.1018869381913385, + -1.1326514953964963, + -1.1563195624425302, + -1.1718632307426964, + -1.178481880965719, + -1.1756169313004825, + -1.162960182178144, + -1.1404556181203258, + -1.1082946935512488, + -1.0669052941185864, + -1.0169347241912106, + -0.959227220767297, + -0.8947966303063221, + -0.8247950046053358, + -0.7504779718090792, + -0.6731678165080106, + -0.5942152567288695, + -0.5149609341555502, + -0.4366976364675881, + -0.36063424723635923, + -0.28786237001574616, + -0.21932650038156037, + -0.15579852459338295, + -0.0978572087119729, + -0.045873210338163536, + -3.989544392183075e-16 + ], + [ + 0, + 0.03754847644786831, + 0.06960281559674929, + 0.09674967418129674, + 0.11975591346211832, + 0.13954523444868552, + 0.15717029789002246, + 0.17378106791311013, + 0.19059021832112527, + 0.20883651928358649, + 0.22974717743968057, + 0.2545001328648353, + 0.2841873211143633, + 0.3197798874976098, + 0.3620962943423195, + 0.41177419141081517, + 0.46924682656629735, + 0.5347246605656619, + 0.608182719291289, + 0.6893540720849408, + 0.7777296697279715, + 0.8725646139081492, + 0.9728907657815076, + 1.077535438605598, + 1.1851457624841655, + 1.294218161984086, + 1.4031322534912882, + 1.5101883520645656, + 1.6136476802136135, + 1.7117742959722324, + 1.8028777068107893, + 1.8853551106857316, + 1.9577322065755003, + 2.0187015442663463, + 2.0671574363367413, + 2.102226533012394, + 2.123293260979493, + 2.130019447938844, + 2.122357592736558, + 2.100557392959705, + 2.0651653042256504, + 2.0170170740467555, + 1.9572233639782681, + 1.8871487425548914, + 1.8083844941304552, + 1.7227158411398116, + 1.6320843157307976, + 1.5385461377328573, + 1.4442275565262528, + 1.3512781920379633, + 1.2618234628637663, + 1.1779172160559992, + 1.1014956727211662, + 1.034333776199627, + 0.9780049758720495, + 0.9338454008224958, + 0.9029232755709914, + 0.8860143073251061, + 0.8835836336565088, + 0.8957747645890131, + 0.9224057875474777, + 0.9629729314823435, + 1.0166614119358557, + 1.0823633060966165, + 1.1587020401983061, + 1.244062915008111, + 1.336628952425258, + 1.4344212208343836, + 1.5353426918703401, + 1.6372245991886805, + 1.737874212674645, + 1.8351229106273215, + 1.9268734285448974, + 2.0111451862698946, + 2.086116644825861, + 2.1501637190374887, + 2.201893370107251, + 2.240171621285975, + 2.264145376676561, + 2.2732575746671553, + 2.267255369768391, + 2.2461912057350437, + 2.2104168146307264, + 2.1605703467321264, + 2.0975570006993323, + 2.022523678242469, + 1.9368283288208348, + 1.84200477428863, + 1.739723907845045, + 1.6317522436488276, + 1.519908851070731, + 1.4060217394411325, + 1.2918847646037641, + 1.1792161075648413, + 1.069619328640746, + 0.964547929007925, + 0.8652742573040383, + 0.7728634843393404, + 0.6881532369707754, + 0.6117393361140963, + 0.5439679274099058, + 0.4849341301565182, + 0.43448716486700595, + 0.3922417563404167, + 0.3575954515453581, + 0.32975134383062804, + 0.3077455606815753, + 0.29047875476762297, + 0.2767507402837169, + 0.265297340984869, + 0.25482846469809173, + 0.24406639271489552, + 0.23178327193015685, + 0.21683682285983996, + 0.1982033270529481, + 0.1750070315939143, + 0.14654520445535335, + 0.11230818994388196, + 0.07199394543347391, + 0.025516685638925864, + -0.026990584843985015, + -0.0851797100408449, + -0.148497090060884, + -0.21619919671471627, + -0.28737348446079786, + -0.360964142392152, + -0.43580200566891786, + -0.5106378348915063, + -0.5841780821959128, + -0.6551221956316805, + -0.7222004703838991, + -0.7842114377439393, + -0.8400577909029363, + -0.8887798804710364, + -0.9295858713015817, + -0.9618777342844669, + -0.9852723502374044, + -0.9996171252984164, + -1.0049996552613554, + -1.0017511266516415, + -0.9904433012498972, + -0.9718790942533204, + -0.9470769202134021, + -0.9172491411791455, + -0.8837751040659535, + -0.8481693953051563, + -0.8120460667317582, + -0.7770796942335678, + -0.7449642171588855, + -0.7173705696290673, + -0.6959041530693096, + -0.6820632114180393, + -0.6771991562099287, + -0.682479848313919, + -0.6988567774606403, + -0.7270369913573841, + -0.767460515299093, + -0.8202838734161714, + -0.8853701772037111, + -0.9622860892981585, + -1.0503058044620253, + -1.1484220194745376, + -1.255363693289863, + -1.3696202326086655, + -1.4894715800135143, + -1.6130235359502816, + -1.738247515710023, + -1.863023831411348, + -1.985187499574016, + -2.1025755094501672, + -2.2130744474952118, + -2.3146673602421597, + -2.4054787517638907, + -2.483816652577139, + -2.5482107633117526, + -2.597445767158202, + -2.630589017837624, + -2.64701194189297, + -2.6464046422818006, + -2.6287833509688667, + -2.5944905475682853, + -2.5441877349567874, + -2.4788410369444134, + -2.3996999533131405, + -2.308269769678491, + -2.2062782697541854, + -2.0956375320593525, + -1.9784017086406607, + -1.8567217771912035, + -1.7327983277701906, + -1.6088334894882077, + -1.4869831199756651, + -1.369310370807559, + -1.2577417055892284, + -1.1540263850459755, + -1.0597003467691892, + -0.976055298411684, + -0.9041137147951779, + -0.8446102847673876, + -0.7979801962939739, + -0.7643544820676744, + -0.7435624769501556, + -0.7351412670286146, + -0.7383518421718779, + -0.7522015038154353, + -0.7754719311985244, + -0.8067521760309724, + -0.8444757408111686, + -0.8869608025145076, + -0.932452573357978, + -0.9791667454704615, + -1.0253329475833137, + -1.0692371496759945, + -1.1092619855828385, + -1.1439240229557126, + -1.171907093123626, + -1.1920908981483622, + -1.2035742360674537, + -1.2056923247998723, + -1.1980278569374403, + -1.1804155778309682, + -1.1529403439765664, + -1.1159287835863427, + -1.069934842261102, + -1.0157196498487842, + -0.9542262860529479, + -0.886550148632566, + -0.8139057359765427, + -0.7375907427771348, + -0.6589484313303529, + -0.5793292801061264, + -0.5000529247262752, + -0.4223713940782932, + -0.34743460634232004, + -0.27625902722394097, + -0.2097003072884646, + -0.14843060917915382, + -0.09292121138835616, + -0.04343083630279886, + -3.767851968994985e-16 + ], + [ + 0, + 0.035364319632219546, + 0.06554467518333669, + 0.09121675330084375, + 0.11322307255899555, + 0.13254722726772766, + 0.15028405152878885, + 0.16760649621945792, + 0.1857300990230124, + 0.2058759925791564, + 0.229233436626766, + 0.25692287559279653, + 0.2899605130165426, + 0.3292253587045771, + 0.37542964444592447, + 0.4290934209559866, + 0.4905240445209801, + 0.559801139173417, + 0.6367674822021665, + 0.7210261108378351, + 0.8119437898109715, + 0.9086608171240514, + 1.0101069828883484, + 1.1150233375446006, + 1.2219892752115946, + 1.3294542990980345, + 1.435773712392233, + 1.539247372958538, + 1.6381605662121697, + 1.7308259898870453, + 1.8156258086491612, + 1.8910527266192696, + 1.955749042188303, + 2.0085426917212588, + 2.0484793558887446, + 2.0748497928572935, + 2.087211674243073, + 2.085405329891507, + 2.0695629530257307, + 2.040110974561011, + 1.9977654805622542, + 1.9435207158749395, + 1.8786308857292922, + 1.8045856314447641, + 1.7230797121895103, + 1.6359775682221613, + 1.5452735686024608, + 1.4530488548308633, + 1.3614257785568162, + 1.272520994205033, + 1.1883983045185946, + 1.1110223676432205, + 1.0422143581649217, + 0.9836106318086785, + 0.9366253753047872, + 0.9024181308548535, + 0.8818669708911008, + 0.8755479661641685, + 0.8837214418250079, + 0.9063253556826777, + 0.9429759641172106, + 0.9929757683040351, + 1.055328560664893, + 1.1287612230000312, + 1.2117517676737473, + 1.3025629654112358, + 1.3992807713095825, + 1.499856647771333, + 1.6021527919691503, + 1.7039892083441408, + 1.803191525139054, + 1.8976384390534629, + 1.985307684112076, + 2.0643194594306618, + 2.132976314766836, + 2.1897985809484837, + 2.233554542288154, + 2.263284677191814, + 2.2783194381658034, + 2.27829019974131, + 2.263133168599453, + 2.2330862203188704, + 2.188678797507831, + 2.1307151704533256, + 2.0602515197544236, + 1.9785674468466528, + 1.8871326493087448, + 1.7875696102020808, + 1.6816132417213916, + 1.5710684909604007, + 1.4577669580307149, + 1.3435235931529244, + 1.2300945293486505, + 1.1191370713379087, + 1.0121728001682735, + 0.9105546685710076, + 0.8154388562321648, + 0.7277620297852354, + 0.6482245125326976, + 0.5772797172198496, + 0.5151300354364013, + 0.4617292134225343, + 0.41679108031214435, + 0.3798043352519503, + 0.3500529483741936, + 0.32664159104488477, + 0.30852538662562673, + 0.29454316725079194, + 0.2834533374415476, + 0.27397138383015635, + 0.26480803334521297, + 0.254707050784074, + 0.24248168100464962, + 0.22704878059057798, + 0.20745974773183537, + 0.18292744555864765, + 0.15284842104527288, + 0.11681984612619556, + 0.07465074666344236, + 0.026367234830951717, + -0.027788382471872205, + -0.08736458638950921, + -0.15171352803623087, + -0.22000946329315266, + -0.2912722488275907, + -0.364395274910125, + -0.4381770937918708, + -0.5113559045283383, + -0.5826459786947268, + -0.6507750583893289, + -0.7145217296379648, + -0.7727517715407543, + -0.8244525043494324, + -0.8687642075900148, + -0.9050077511812196, + -0.9327076764702876, + -0.9516100778818292, + -0.9616947666184337, + -0.9631813422994217, + -0.9565289529623526, + -0.942429684607487, + -0.9217956844019957, + -0.8957402826801854, + -0.8655535339202265, + -0.832672742030334, + -0.7986486668614351, + -0.765108223533687, + -0.7337145809917358, + -0.7061256387476786, + -0.6839519091424113, + -0.6687148553644453, + -0.6618067322516099, + -0.6644529475554288, + -0.6776779065109294, + -0.7022752235020729, + -0.7387830832254836, + -0.7874654124721672, + -0.8482993854070076, + -0.9209696333947257, + -1.00486936870842, + -1.0991084638254394, + -1.2025283585824385, + -1.3137235003979146, + -1.4310688621970122, + -1.5527529325582927, + -1.6768154366643666, + -1.801188928253451, + -1.9237432948861306, + -2.0423321439114916, + -2.15483998642743, + -2.259229112563004, + -2.35358505420677, + -2.436159560848249, + -2.5054100698178376, + -2.560034732589503, + -2.5990021620290955, + -2.6215751890439445, + -2.627328058031599, + -2.616156645423468, + -2.5882814507151197, + -2.544243280659554, + -2.484891720610268, + -2.411366658123419, + -2.3250732887022525, + -2.227651187985832, + -2.1209381749960636, + -2.0069298138552365, + -1.8877355036939982, + -1.7655321858127144, + -1.6425167516262402, + -1.5208582632134144, + -1.4026510997482502, + -1.2898701177098122, + -1.184328861208176, + -1.0876417823217075, + -1.001191331922421, + -0.9261006615377723, + -0.8632125393253487, + -0.8130749316146922, + -0.7759335394326558, + -0.7517314109603815, + -0.7401155801071543, + -0.7404505125146904, + -0.7518379774558106, + -0.7731428112391031, + -0.8030238985972692, + -0.8399695764967556, + -0.882336562807075, + -0.9283914327561464, + -0.9763536109585451, + -1.0244388173161678, + -1.0709019018974548, + -1.1140780269919917, + -1.1524212032509908, + -1.1845392598665758, + -1.209224424219017, + -1.2254788018836553, + -1.2325341804001937, + -1.229865726410943, + -1.217199301982825, + -1.1945122882117272, + -1.1620279684943158, + -1.1202036860293993, + -1.0697131461255758, + -1.0114233798552952, + -0.9463670178764989, + -0.8757106385603052, + -0.8007200500660007, + -0.7227234393431495, + -0.6430733704249564, + -0.5631086386202236, + -0.48411698575922424, + -0.40729965459330336, + -0.3337387085231369, + -0.2643679673949756, + -0.1999483131056948, + -0.1410480026838889, + -0.08802849433158338, + -0.04103614698797482, + -3.552939157982844e-16 + ], + [ + 0, + 0.03329217998628205, + 0.061750842476371824, + 0.08613330816862369, + 0.10734910104135258, + 0.126432058371899, + 0.1445088256618427, + 0.16276457530801025, + 0.1824068620267979, + 0.20462857886020402, + 0.230571003753618, + 0.2612879275059353, + 0.2977118292980023, + 0.3406230165914761, + 0.39062257316802546, + 0.44810986425503946, + 0.5132652334160154, + 0.5860383950210678, + 0.6661428819263301, + 0.7530567540910018, + 0.8460296141078995, + 0.9440958140315204, + 1.0460935785242662, + 1.1506896162256073, + 1.256408648251066, + 1.3616671534727436, + 1.464810518009115, + 1.5641526840285058, + 1.6580173229264021, + 1.7447795119989296, + 1.8229068731332234, + 1.890999137371105, + 1.9478251304313174, + 1.9923562307090765, + 2.0237954315923496, + 2.041601242228088, + 2.045505782674186, + 2.0355265677300873, + 2.0119716252792457, + 1.975437755994429, + 1.9268019078034944, + 1.8672058064948962, + 1.7980341491205976, + 1.720886825349386, + 1.6375457797150672, + 1.549937261127443, + 1.4600903217523478, + 1.3700925225332248, + 1.2820438748351535, + 1.1980100951183514, + 1.1199762709741776, + 1.0498020317022319, + 0.9891792849440674, + 0.9395935234406402, + 0.9022896241037726, + 0.8782429572448366, + 0.8681364994976278, + 0.8723445027101945, + 0.8909231162830683, + 0.9236081958542838, + 0.9698203608716425, + 1.0286771915905746, + 1.0990122865739773, + 1.1794007389698526, + 1.2681904376621944, + 1.3635384615293185, + 1.4634517148497224, + 1.5658308522837872, + 1.6685164652401516, + 1.7693364496550765, + 1.8661534495086578, + 1.9569112713714025, + 2.039679192862742, + 2.1126931414018215, + 2.174392797698664, + 2.2234537791278735, + 2.2588141789529033, + 2.279694875340722, + 2.2856131758229563, + 2.276389524585742, + 2.2521471677323994, + 2.2133048413446708, + 2.160562714613448, + 2.094881981425016, + 2.017458644643585, + 1.929692174255218, + 1.8331498402124935, + 1.729527620356058, + 1.6206086608036012, + 1.5082203188652932, + 1.3941908456488556, + 1.280306766473604, + 1.1682719920853442, + 1.0596696431630284, + 0.9559274960703071, + 0.858287861160713, + 0.767782588667697, + 0.6852137642561342, + 0.6111405100434314, + 0.5458721510029447, + 0.4894678450583402, + 0.44174261191632325, + 0.4022795348513052, + 0.37044775526383034, + 0.3454257357307268, + 0.32622913703006234, + 0.311742541485113, + 0.3007541617221525, + 0.2919926028673225, + 0.2841646990489028, + 0.27599342295159085, + 0.2662548705877583, + 0.2538133522643575, + 0.23765367415306876, + 0.21690977151801327, + 0.19088895254057842, + 0.159091128293623, + 0.12122253677769695, + 0.07720361366667185, + 0.027170815836880163, + -0.028527638026407072, + -0.08934198645617623, + -0.1545368248408063, + -0.22321225812546958, + -0.2943297414933896, + -0.36674192088055646, + -0.4392256797213153, + -0.5105175131582222, + -0.5793502882536354, + -0.6444904101234454, + -0.7047744003806176, + -0.7591439062017332, + -0.8066781954469617, + -0.8466232546716664, + -0.8784166910524129, + -0.9017077441232982, + -0.9163718361683875, + -0.9225192280731653, + -0.9204974969506726, + -0.9108877091792186, + -0.8944943236687718, + -0.8723290211588235, + -0.8455888120859478, + -0.8156289240872279, + -0.7839311067667396, + -0.7520681124790328, + -0.7216652144871136, + -0.6943597053009052, + -0.6717593761855618, + -0.6554010122142798, + -0.6467099449086771, + -0.6469616861821125, + -0.6572466233447335, + -0.6784386863496364, + -0.7111688068779425, + -0.7558038764727643, + -0.8124317804556376, + -0.8808529389664753, + -0.9605786297091071, + -1.0508362026978653, + -1.1505811295203618, + -1.258515662486123, + -1.3731137166422087, + -1.4926514340180415, + -1.615242748416392, + -1.7388791440977782, + -1.8614726959229646, + -1.9809013945670373, + -2.0950557004112222, + -2.201885235180177, + -2.2994445122255875, + -2.3859366248163334, + -2.459753856482496, + -2.519514247332179, + -2.564093243653246, + -2.5926496727859285, + -2.6046454184405228, + -2.5998583201155467, + -2.5783879804464678, + -2.540654332295374, + -2.4873889890963157, + -2.4196195732253347, + -2.3386473838035085, + -2.2460189233135197, + -2.1434919478742667, + -2.0329968354398114, + -1.9165941764270502, + -1.7964295796601697, + -1.6746867509144219, + -1.5535399402000694, + -1.4351068663298687, + -1.3214032129871602, + -1.2142997498404215, + -1.115483066261499, + -1.0264208155457697, + -0.9483322564292707, + -0.8821647488987288, + -0.8285767159989177, + -0.7879274261373713, + -0.7602737851351561, + -0.7453741580319987, + -0.7426990715732984, + -0.7514484835233326, + -0.7705751484874881, + -0.7988134655986074, + -0.8347130647342079, + -0.8766762779953997, + -0.9229985546391452, + -0.9719108126237416, + -1.021622679928522, + -1.0703655647466717, + -1.116434505784937, + -1.158227791847386, + -1.194283402605413, + -1.22331140832436, + -1.244221573119648, + -1.2561455313286074, + -1.2584530466389985, + -1.250762015175257, + -1.2329420329940615, + -1.2051115113849824, + -1.16762848592827, + -1.1210754233689166, + -1.0662384800804725, + -1.0040818034894288, + -0.9357175898962845, + -0.8623727156430624, + -0.7853528409893606, + -0.706004945353088, + -0.6256792873138582, + -0.5456917921502941, + -0.4672878535086887, + -0.3916084945427494, + -0.31965976861438206, + -0.25228619209770803, + -0.1901488942349816, + -0.13370904410762682, + -0.08321697579514113, + -0.03870728323795446, + -3.3463903405064493e-16 + ], + [ + 0, + 0.03134630276816558, + 0.05824606303967538, + 0.08153019925610563, + 0.10216609902200173, + 0.1212278688704436, + 0.13986345813731133, + 0.1592595339861443, + 0.18060504507379962, + 0.205054447801432, + 0.23369158060747025, + 0.26749515800875584, + 0.30730681739837995, + 0.3538025889080263, + 0.4074685734880368, + 0.4685815088660614, + 0.537194779845397, + 0.6131302915761906, + 0.6959764754279686, + 0.7850925406479913, + 0.879618925037237, + 0.9784937384396453, + 1.080474837940259, + 1.1841670272174971, + 1.2880537382032624, + 1.3905324344843366, + 1.4899528757591765, + 1.5846573037169271, + 1.6730215539775655, + 1.7534960676959894, + 1.824645770947745, + 1.8851878103043311, + 1.9340261786540411, + 1.9702823352804488, + 1.9933210168179476, + 2.0027705487384853, + 1.9985370977495227, + 1.9808124507186102, + 1.9500750619362306, + 1.907084273857373, + 1.8528677829103652, + 1.788702587429667, + 1.7160898151737525, + 1.6367239792629962, + 1.5524573499634002, + 1.4652602521061147, + 1.3771782010194988, + 1.2902868710790687, + 1.206645948303883, + 1.1282529503835181, + 1.0569981032673474, + 0.9946213427899195, + 0.9426724631940024, + 0.9024753629356174, + 0.875097243514141, + 0.8613235015367285, + 0.8616389205860663, + 0.8762156209466928, + 0.9049080654577052, + 0.947255252577551, + 1.002490057232025, + 1.0695555103154983, + 1.1471276429553279, + 1.2336443658379863, + 1.327339710821851, + 1.426282635203258, + 1.528419481439567, + 1.631619099473071, + 1.7337195771127143, + 1.8325754876996883, + 1.9261045543664388, + 2.012332646810309, + 2.089436069206812, + 2.155780165608584, + 2.2099533602276953, + 2.2507958621244684, + 2.2774223942548515, + 2.289238452344404, + 2.28594975607883, + 2.2675647197696396, + 2.234389937928485, + 2.1870188489424787, + 2.1263139031825973, + 2.0533827164162117, + 1.9695488315702911, + 1.8763178382526666, + 1.775339706930305, + 1.6683682807028177, + 1.557218930147543, + 1.4437254142856102, + 1.3296970024820676, + 1.2168768978430808, + 1.106902962848915, + 1.001271683634711, + 0.9013062221778798, + 0.8081292979100216, + 0.72264151468618, + 0.6455056087960763, + 0.5771369423284687, + 0.5177004075075337, + 0.4671137455894555, + 0.42505712259256523, + 0.390988647563483, + 0.3641653711555712, + 0.3436691666916026, + 0.3284367759617303, + 0.3172932007335364, + 0.30898754081411467, + 0.302230322462113, + 0.29573132837569005, + 0.2882369331401893, + 0.27856596603277795, + 0.26564316593965925, + 0.24852935971103127, + 0.22644758383189517, + 0.19880447754477865, + 0.16520640075230397, + 0.12546986895868906, + 0.07962604664241943, + 0.02791919599577674, + -0.029200864029985594, + -0.09109207698280185, + -0.15693888414910556, + -0.2257758718717994, + -0.29651569840887754, + -0.36798055537163155, + -0.4389363254301674, + -0.5081285260742984, + -0.5743190806096985, + -0.6363229335063495, + -0.6930435283353653, + -0.7435061928335539, + -0.7868885264909762, + -0.822546960214822, + -0.850038753244582, + -0.8691388071983797, + -0.8798508080544526, + -0.8824123507398186, + -0.8772938542042908, + -0.8651912335562044, + -0.8470124560362096, + -0.8238582652720103, + -0.7969975094112008, + -0.7678376495479152, + -0.7378911517698028, + -0.7087385759238173, + -0.6819892640230197, + -0.6592405987757912, + -0.6420368462476513, + -0.6318286149951133, + -0.6299339565968131, + -0.6375020994464318, + -0.6554807497004518, + -0.6845878117489612, + -0.7252882774458337, + -0.7777769110832874, + -0.841967218693236, + -0.9174870390793954, + -1.0036809337298558, + -1.0996193873625784, + -1.2041146643850746, + -1.3157430031082482, + -1.4328726731812922, + -1.5536972762810672, + -1.6762735392046202, + -1.7985627354351879, + -1.918474778804544, + -2.0339139633787418, + -2.142825278911292, + -2.2432402122916058, + -2.333320952888439, + -2.4114019534206177, + -2.4760278572079484, + -2.5259868859647505, + -2.5603388877041557, + -2.5784373692872036, + -2.579944979657462, + -2.5648420644229306, + -2.5334280764311106, + -2.486315796347704, + -2.4244184878774435, + -2.348930280007838, + -2.2613002294325577, + -2.163200666210936, + -2.0564905610983977, + -1.9431747705512405, + -1.8253601123150311, + -1.7052092984031504, + -1.5848938013787366, + -1.4665467529949356, + -1.352216970887866, + -1.2438251792646016, + -1.1431234341435546, + -1.051658684071516, + -0.9707412953379614, + -0.9014192490550246, + -0.8444585790730192, + -0.8003304679658682, + -0.7692052569803607, + -0.7509534588594652, + -0.7451536939173324, + -0.7511073037873771, + -0.7678592379399146, + -0.7942246592563068, + -0.828820580270603, + -0.8701017244101448, + -0.9163997095109856, + -0.9659645763753804, + -1.0170076349387631, + -1.0677445758799733, + -1.1164377967671377, + -1.1614369189642757, + -1.2012165237723826, + -1.2344102122650158, + -1.2598401910388817, + -1.2765417031355821, + -1.283781756729619, + -1.2810717504503433, + -1.2681737497278374, + -1.2451003294191703, + -1.212108060152286, + -1.169684875265806, + -1.1185317079479966, + -1.0595389303856395, + -0.9937582548937363, + -0.9223708679373982, + -0.8466526589424278, + -0.7679374745901345, + -0.6875793742332653, + -0.6069148820828838, + -0.5272262264564671, + -0.4497065258385019, + -0.37542782661152596, + -0.3053128195028567, + -0.2401109630698926, + -0.18037962544759004, + -0.12647072309751484, + -0.07852319080564121, + -0.036461464351740136, + -3.1496841126988764e-16 + ], + [ + 0, + 0.029539478126739724, + 0.055051871466536555, + 0.07743310410104638, + 0.09769888889980292, + 0.11695340367531902, + 0.1363553503817283, + 0.157082304407978, + 0.18029430742822758, + 0.20709767926088896, + 0.23851002117224313, + 0.2754273550888772, + 0.3185942909319974, + 0.3685780390446793, + 0.4257469883191181, + 0.4902544555474123, + 0.5620280805927678, + 0.6407651984869864, + 0.725934367103965, + 0.8167830714678254, + 0.912351466993547, + 1.0114918680290887, + 1.1128935389086692, + 1.215112206112485, + 1.31660358557715, + 1.4157601118870018, + 1.5109499687477495, + 1.6005574550555421, + 1.6830236797301072, + 1.7568865623900496, + 1.8208191263985114, + 1.8736651056496587, + 1.9144709459189726, + 1.9425133642670527, + 1.9573217338905056, + 1.9586946844451587, + 1.946710446245962, + 1.9217306174964632, + 1.8843971931263104, + 1.8356228580020904, + 1.7765747121826683, + 1.7086517574462978, + 1.633456628528451, + 1.552762195555008, + 1.4684737924820033, + 1.3825879367628517, + 1.297148495195834, + 1.2142013177013482, + 1.1357484029441203, + 1.0637026761574344, + 0.9998444497830562, + 0.9457806017932207, + 0.9029074456306454, + 0.8723781810295308, + 0.8550757085897055, + 0.8515914654280268, + 0.8622107975584739, + 0.8869052302862499, + 0.9253318345865494, + 0.9768397191424064, + 1.0404835085295996, + 1.1150435020750182, + 1.1990520492160361, + 1.2908255296130928, + 1.3885011934051963, + 1.4900780020774531, + 1.5934605162207631, + 1.6965048052882201, + 1.797065308008031, + 1.8930415515105903, + 1.9824236429458078, + 2.063335479239481, + 2.134074677857342, + 2.1931483125854627, + 2.2393036413841254, + 2.2715531357825496, + 2.2891932600359928, + 2.291816599949401, + 2.279317102155631, + 2.2518883507731795, + 2.210014975687684, + 2.1544574511099484, + 2.0862307005464027, + 2.006577071038607, + 1.916934371921601, + 1.8188997882111608, + 1.7141905732901046, + 1.6046024975628785, + 1.4919670774857001, + 1.378108631759547, + 1.2648022080266, + 1.15373339430837, + 1.0464609754709542, + 0.9443833176181605, + 0.8487092644924256, + 0.7604342122293744, + 0.680321895150487, + 0.6088922690647112, + 0.5464157234628622, + 0.49291369391973155, + 0.44816558497471237, + 0.4117217557643502, + 0.38292216966715414, + 0.3609201689468722, + 0.34471070932413705, + 0.3331622806846644, + 0.32505165142205855, + 0.3191005073862938, + 0.31401301367726897, + 0.30851330959978956, + 0.3013819543717396, + 0.2914903734083635, + 0.2778324113238509, + 0.25955217672470854, + 0.23596746337943292, + 0.20658814988274093, + 0.17112911248679796, + 0.12951732996812715, + 0.08189301156903227, + 0.028604735330061647, + -0.029801259452008795, + -0.0925973293167364, + -0.15889579206927582, + -0.22767482581794243, + -0.29780820814141556, + -0.3680981009377824, + -0.43731000588861335, + -0.5042089572593715, + -0.5675959844457513, + -0.6263438671554604, + -0.6794312216542497, + -0.725973996739963, + -0.7652535220534018, + -0.7967403374062434, + -0.820113137861639, + -0.835272292695006, + -0.8423475340034666, + -0.8416995591727804, + -0.8339154469240463, + -0.8197979453389221, + -0.8003488481058624, + -0.7767468282585888, + -0.7503202430232929, + -0.722515555394366, + -0.6948621343632777, + -0.6689342933612894, + -0.6463115029341807, + -0.6285377669608228, + -0.6170811804455818, + -0.6132946902565796, + -0.6183790579777202, + -0.6333489767588024, + -0.6590032227771412, + -0.6958996283577018, + -0.7443355501868455, + -0.8043343751507023, + -0.8756384613220527, + -0.9577087560553755, + -1.0497311708444748, + -1.1506296275420302, + -1.259085526803823, + -1.3735632312462804, + -1.4923410067148837, + -1.6135467289517478, + -1.7351975432089084, + -1.855242563968672, + -1.9716076234207083, + -2.082241022689681, + -2.1851592104068094, + -2.2784913098524857, + -2.360521438706105, + -2.429727813920873, + -2.484817707261301, + -2.524757412861797, + -2.5487965044859644, + -2.5564857941833523, + -2.5476885525110573, + -2.5225847098129957, + -2.481667924361866, + -2.4257355724262375, + -2.3558718834118566, + -2.2734246060533065, + -2.179975745237689, + -2.0773070496900057, + -1.9673610550199805, + -1.8521985915042019, + -1.7339537489115617, + -1.6147873496685774, + -1.496840015285276, + -1.382185918424338, + -1.2727882941405375, + -1.1704577391314819, + -1.0768142584456326, + -0.9932539267139788, + -0.9209209178935346, + -0.860685526525547, + -0.8131286578451586, + -0.7785331073147091, + -0.7568817861397735, + -0.7478628820869796, + -0.7508817785503913, + -0.765079393375067, + -0.7893564463804342, + -0.8224030245446988, + -0.8627326898104588, + -0.908720269446486, + -0.9586423853729845, + -1.0107197188140922, + -1.0631599714847497, + -1.1142004750342744, + -1.1621494168054514, + -1.205424691635779, + -1.2425894553112626, + -1.2723835436701663, + -1.2937500299780613, + -1.3058563192932662, + -1.308109318922653, + -1.300164375193997, + -1.2819278248455017, + -1.2535531703941407, + -1.215431048865597, + -1.1681733182570964, + -1.1125917322028485, + -1.0496718068914104, + -0.9805426020375315, + -0.9064432367318073, + -0.828687038847878, + -0.7486242814814451, + -0.6676044903111129, + -0.5869393111043998, + -0.5078669067694471, + -0.43151880893142197, + -0.3588900811667133, + -0.29081356151816085, + -0.22793884304392842, + -0.17071652570818685, + -0.11938813410410448, + -0.07398194684347424, + -0.03431482873161225, + -2.9641798927082116e-16 + ], + [ + 0, + 0.02788293139352952, + 0.05218641524862888, + 0.07386232259483275, + 0.09396485279500823, + 0.11361793293564773, + 0.1339805239905285, + 0.1562107624698389, + 0.18142989845761726, + 0.21068699849821673, + 0.24492536450216879, + 0.28495157811378014, + 0.33140801484338733, + 0.3847495853332195, + 0.4452253545643997, + 0.5128655662872892, + 0.5874744625617752, + 0.6686291404748594, + 0.7556845335736174, + 0.8477844482002754, + 0.9438784287079589, + 1.0427440744139536, + 1.1430142889349173, + 1.2432088128520624, + 1.3417692767739124, + 1.4370969167105831, + 1.5275920196946529, + 1.6116941167034378, + 1.6879219135065051, + 1.7549119488238625, + 1.8114549932505697, + 1.8565292512680767, + 1.8893295011878357, + 1.9092914023335965, + 1.916110312890379, + 1.9097540928616927, + 1.8904695112874017, + 1.8587820317407378, + 1.815488911342497, + 1.761645712135637, + 1.6985464856186014, + 1.6276980475373264, + 1.550788906811652, + 1.4696535460768367, + 1.3862328684281893, + 1.3025317226396675, + 1.220574494932889, + 1.1423598073827617, + 1.0698153899242109, + 1.0047541939518274, + 0.9488327905961529, + 0.9035130464695996, + 0.8700279951790981, + 0.8493527259751604, + 0.8421809938742887, + 0.8489081212762293, + 0.8696206127485225, + 0.9040927458646661, + 0.9517902356140479, + 1.0118809019709114, + 1.0832521038003131, + 1.16453454144046, + 1.2541318789472382, + 1.3502554988010684, + 1.4509635802197283, + 1.5542035900500926, + 1.6578571950062333, + 1.7597865477224888, + 1.8578808680531835, + 1.950102236012455, + 2.0345295338075284, + 2.1093995210375196, + 2.1731440981422554, + 2.2244229068304575, + 2.2621505301794764, + 2.285517686570062, + 2.2940059573637295, + 2.2873957446656945, + 2.265767318804282, + 2.2294949812967437, + 2.1792345339964325, + 2.1159044047985316, + 2.0406609308282055, + 1.954868437784809, + 1.8600648757291915, + 1.7579238741423568, + 1.6502141600925888, + 1.5387573409006052, + 1.4253850854464336, + 1.311896745491238, + 1.2000184399974636, + 1.0913645819605722, + 0.9874027598733396, + 0.8894227963770605, + 0.7985106972059366, + 0.7155280769824383, + 0.6410975079708625, + 0.5755940870804809, + 0.5191433590143821, + 0.47162557342657396, + 0.4326860952760193, + 0.4017516342071629, + 0.3780518145564287, + 0.3606454760612946, + 0.3484509797865123, + 0.34027969702919003, + 0.334871783393203, + 0.330933287671858, + 0.3271736169044393, + 0.3223423756253405, + 0.31526461892622915, + 0.3048736048987866, + 0.29024020110454024, + 0.2705981901367424, + 0.24536482877099958, + 0.2141561408451336, + 0.17679656265888852, + 0.13332270781061908, + 0.08398117222593443, + 0.029220455776129813, + -0.03032276961707756, + -0.0938426680326355, + -0.16038800871500808, + -0.22889005689597833, + -0.29819383882900463, + -0.3670919447749948, + -0.43435996629329526, + -0.4987926199597658, + -0.5592395896936456, + -0.6146401247534512, + -0.6640554600617512, + -0.706698179118464, + -0.7419577160367954, + -0.7694212902871912, + -0.7888896831397194, + -0.8003873956667368, + -0.8041668712249461, + -0.8007066169878473, + -0.7907032155333049, + -0.7750573747676179, + -0.7548543186204744, + -0.7313389680790576, + -0.7058864985180918, + -0.67996898146142, + -0.6551189237646272, + -0.632890602049498, + -0.6148201528566632, + -0.6023854177704593, + -0.5969665566590693, + -0.5998084307326219, + -0.611985720551492, + -0.6343716832431933, + -0.6676113694425735, + -0.7121000158626687, + -0.767967206462105, + -0.8350672568902754, + -0.9129761266425849, + -1.0009950048278877, + -1.0981605525360099, + -1.2032616215088836, + -1.3148621091966317, + -1.4313294582697684, + -1.5508681680312058, + -1.6715575594237027, + -1.7913929275960396, + -1.9083291289732265, + -2.0203255856648483, + -2.1253916504730412, + -2.221631261759245, + -2.307285829399202, + -2.3807743307645417, + -2.4407296582485842, + -2.4860303458238, + -2.515826909422558, + -2.529562161988758, + -2.5269850058108796, + -2.5081573587831634, + -2.4734540338139777, + -2.423555557759564, + -2.3594340839429244, + -2.2823327164423133, + -2.1937387209077377, + -2.0953512418764686, + -1.9890442768772703, + -1.8768257698686055, + -1.7607937780226333, + -1.6430907343267058, + -1.525856872274096, + -1.4111838970065826, + -1.3010699792336666, + -1.197377114307879, + -1.1017918298368303, + -1.0157901426289455, + -0.9406075616450738, + -0.8772148105320792, + -0.8262998042796342, + -0.7882562629865074, + -0.7631791853693198, + -0.7508672394275409, + -0.7508319616389402, + -0.762313493259408, + -0.7843024267129398, + -0.8155671904704984, + -0.8546862707415047, + -0.9000844558862818, + -0.9500721974081251, + -1.0028871118985752, + -1.0567366030269714, + -1.1098405626226686, + -1.1604731155069101, + -1.2070024037685663, + -1.2479274617921876, + -1.2819113120806456, + -1.3078095117410886, + -1.3246934978772493, + -1.3318682140541747, + -1.3288836460948892, + -1.315540050059793, + -1.2918868144730533, + -1.2582150587137255, + -1.2150442259942582, + -1.1631030786081091, + -1.1033056414342275, + -1.0367227636120298, + -0.9645500747861686, + -0.8880731987472213, + -0.8086311515505402, + -0.7275788917279655, + -0.6462500060596086, + -0.5659205052092702, + -0.48777466963882143, + -0.4128738285152517, + -0.34212887431706857, + -0.27627721559977936, + -0.21586475246538073, + -0.1612333267111102, + -0.11251395478633003, + -0.06962600022266856, + -0.0322822869690475, + -2.7911058610218946e-16 + ], + [ + 0, + 0.026386230323860796, + 0.04966431475785938, + 0.07083263881123551, + 0.09097384721436517, + 0.11122127062038671, + 0.13272379259200984, + 0.15661009882560287, + 0.18395326848312893, + 0.21573666079558043, + 0.2528220189159993, + 0.29592065809949775, + 0.34556852803334315, + 0.40210584145773104, + 0.4656618455491471, + 0.5361451817804772, + 0.6132401374057223, + 0.6964089409241794, + 0.7849000986531082, + 0.8777626137902966, + 0.9738657770091828, + 1.071924072551067, + 1.1705266096380842, + 1.2681703692362885, + 1.3632964538069001, + 1.4543284453223806, + 1.5397119166234974, + 1.6179541047355297, + 1.6876627430375803, + 1.7475830625649236, + 1.7966320109707332, + 1.8339287999103515, + 1.8588209763688022, + 1.8709053186966564, + 1.8700429813025055, + 1.8563684500722735, + 1.830292020268505, + 1.7924956662340852, + 1.7439223338081262, + 1.6857588479724126, + 1.6194127858907774, + 1.5464838152766176, + 1.4687301362072538, + 1.3880307876583082, + 1.3063446850816782, + 1.2256673396618858, + 1.1479862713297384, + 1.075236164620437, + 1.0092548280660896, + 0.951741003664094, + 0.904215033350166, + 0.8679833252414465, + 0.8441074752192161, + 0.83337879127836, + 0.8362988415842928, + 0.853066505403653, + 0.8835718524464679, + 0.9273970144025945, + 0.983824046504119, + 1.0518496108336934, + 1.130206150868606, + 1.2173890723506022, + 1.3116893027608663, + 1.411230473933927, + 1.5140098627712748, + 1.6179421362779878, + 1.7209048813962335, + 1.8207848589378037, + 1.915523905311031, + 2.003163416056901, + 2.081886381181001, + 2.150056002990573, + 2.206250011112105, + 2.2492898944995963, + 2.2782643939549905, + 2.292546737926097, + 2.2918052557022586, + 2.2760071618798943, + 2.2454154702041227, + 2.2005791595895348, + 2.1423168762587443, + 2.071694609581198, + 1.989997921607688, + 1.8986994380215572, + 1.79942241817722, + 1.693901311425345, + 1.583940273895184, + 1.4713706627421346, + 1.358008542594841, + 1.2456132311957024, + 1.1358478782956012, + 1.030243014634424, + 0.9301639278089767, + 0.8367826210555062, + 0.7510549920209281, + 0.6737037344755313, + 0.6052073200102086, + 0.5457952627280999, + 0.4954497116422688, + 0.45391325688338824, + 0.42070268085900636, + 0.39512823804369696, + 0.3763179107771088, + 0.3632459666780236, + 0.35476503905070084, + 0.3496408675245982, + 0.3465887741820124, + 0.3443109120844156, + 0.3415333093068399, + 0.3370417426137887, + 0.32971551042032793, + 0.31855823372528974, + 0.3027248947377294, + 0.28154442385088174, + 0.2545372638606877, + 0.22142747285731598, + 0.1821490706610123, + 0.13684648437966213, + 0.08586910280692014, + 0.029760103045033296, + -0.03076013797152274, + -0.09481559324167035, + -0.16140051354532026, + -0.22940903578599384, + -0.29766767778243963, + -0.36496984937570326, + -0.4301114559401478, + -0.49192664029487515, + -0.5493227033858336, + -0.6013132631123468, + -0.6470487538485341, + -0.6858434354941193, + -0.7171981686319349, + -0.7408183193804976, + -0.7566262811313337, + -0.7647682374539602, + -0.7656149375944258, + -0.7597564094868603, + -0.7479906911769003, + -0.7313068160880082, + -0.710862436743276, + -0.6879566116100336, + -0.6639984071085955, + -0.640472078276557, + -0.618899684255557, + -0.6008020662819484, + -0.58765916435404, + -0.580870672926104, + -0.5817180351567929, + -0.5913287493536771, + -0.6106439108675685, + -0.6403898389736539, + -0.6810545429883157, + -0.7328696673089221, + -0.7957984240114078, + -0.8695298772958525, + -0.9534797899698058, + -1.0467980820886948, + -1.1483827897753822, + -1.2569002521182133, + -1.3708110998605503, + -1.488401475167717, + -1.6078187806798838, + -1.727111141599198, + -1.8442696695800906, + -1.9572725440826126, + -2.0641298774638934, + -2.16292830569514, + -2.2518742478617018, + -2.329334804560207, + -2.393875317348309, + -2.444292687309156, + -2.4796436487569973, + -2.4992673117808053, + -2.5028014218613666, + -2.4901919329493265, + -2.461695648564957, + -2.4178758498343633, + -2.359590995916245, + -2.287976746946768, + -2.2044217184297956, + -2.1105375250600242, + -2.0081238076587056, + -1.899129055924227, + -1.7856081391580072, + -1.6696775346054857, + -1.5534692966750658, + -1.4390848387725679, + -1.3285496021387493, + -1.2237696628585517, + -1.1264912797132989, + -1.0382643129782285, + -0.9604103494251282, + -0.8939962540137233, + -0.8398137368724949, + -0.7983653784229992, + -0.769857399470072, + -0.7541993005897948, + -0.751010330177323, + -0.7596325771017074, + -0.7791503260442549, + -0.8084151651174254, + -0.8460761998817553, + -0.8906146086813392, + -0.9403816741796911, + -0.9936393474954147, + -1.0486023462730152, + -1.10348075765922, + -1.1565221121578655, + -1.2060519147472037, + -1.2505116648754686, + -1.2884934658037466, + -1.3187704144582304, + -1.3403220731683216, + -1.3523544516060995, + -1.3543140677011531, + -1.345895806749017, + -1.32704445458843, + -1.297949939672727, + -1.2590364761365191, + -1.2109459516435368, + -1.1545160461257165, + -1.0907536969601945, + -1.020804639480835, + -0.9459198461943887, + -0.8674197613553075, + -0.7866572778689636, + -0.7049804296402048, + -0.6236957738695859, + -0.5440334144515515, + -0.46711457019571023, + -0.3939225213255456, + -0.3252776764316113, + -0.2618173921161016, + -0.20398105177699463, + -0.15200077155191966, + -0.10589795389799374, + -0.06548575637427632, + -0.03037738879990989, + -2.6315483490745805e-16 + ], + [ + 0, + 0.025057210121703827, + 0.0474965605200613, + 0.06835324037973478, + 0.08872819524129517, + 0.10975388931152423, + 0.1325590463145943, + 0.15823331566365645, + 0.18779281445873552, + 0.22214747513935848, + 0.2620710840406126, + 0.3081748287234123, + 0.3608850834527971, + 0.42042605479460987, + 0.48680778568162497, + 0.5598198795670235, + 0.6390311598717235, + 0.7237953275261692, + 0.8132625248465116, + 0.9063965611694716, + 1.001997408461972, + 1.0987284372490964, + 1.1951477381679323, + 1.2897427654409284, + 1.3809674483608314, + 1.4672808478150137, + 1.547186388750728, + 1.619270677525595, + 1.6822409159290783, + 1.7349599513127427, + 1.776478054122441, + 1.8060605889722345, + 1.8232108414500718, + 1.8276873777794775, + 1.819515445484822, + 1.7989920671191428, + 1.7666846323842496, + 1.723422952834013, + 1.6702849038872447, + 1.6085759371199362, + 1.539802897839494, + 1.4656427249929158, + 1.3879067389920587, + 1.308501334844868, + 1.229385990260358, + 1.1525295688226291, + 1.0798659451148394, + 1.013250000606924, + 0.9544150355998943, + 0.904932613569262, + 0.8661758005206052, + 0.8392866847218539, + 0.8251489632494926, + 0.8243662635545849, + 0.837246733571055, + 0.8637942860118111, + 0.9037067250137716, + 0.9563808200253315, + 1.0209242267488328, + 1.0961739920729592, + 1.180721223220917, + 1.2729413546158581, + 1.371029312798291, + 1.4730387633631674, + 1.5769245271481493, + 1.6805871781500157, + 1.7819187846856366, + 1.878848729377385, + 1.9693885432466935, + 2.051674714532924, + 2.1240084831789887, + 2.1848917059902218, + 2.233057973448375, + 2.267498274682617, + 2.2874806393220006, + 2.2925633306304944, + 2.2826013198821054, + 2.2577459335575885, + 2.218437728680153, + 2.1653928134536087, + 2.099582986373489, + 2.0222102133505673, + 1.934676095561204, + 1.838547097495008, + 1.7355164021927025, + 1.6273633366197309, + 1.5159113627041647, + 1.4029856575609454, + 1.2903713092171658, + 1.1797731317575508, + 1.0727780568599987, + 0.9708209884280844, + 0.8751549152647912, + 0.7868259658116443, + 0.7066539617110134, + 0.6352188865472005, + 0.5728535361123973, + 0.5196424606862263, + 0.4754271520081777, + 0.43981727179658253, + 0.4122075687033777, + 0.3917999902136782, + 0.3776303686791908, + 0.3685989495574438, + 0.3635039377464813, + 0.3610771669103169, + 0.36002094860314104, + 0.35904513396285154, + 0.35690342129565233, + 0.3524279679351036, + 0.34456141363871357, + 0.332385494194476, + 0.31514551599662594, + 0.2922700727458173, + 0.26338551130859383, + 0.2283247919232409, + 0.18713053484780745, + 0.14005219747810946, + 0.08753747906281818, + 0.030218200526484565, + -0.031108949232381354, + -0.09550627551780638, + -0.1619229033149996, + -0.2292258173831803, + -0.2962332839923844, + -0.36174975842711354, + -0.4246013424515927, + -0.4836708400071542, + -0.5379314679123286, + -0.5864783110656949, + -0.6285566678053244, + -0.6635865092605651, + -0.6911823747901961, + -0.7111681414763241, + -0.7235862362302833, + -0.7287010010864323, + -0.7269960721410127, + -0.7191657865628178, + -0.7061007862782791, + -0.6888681374224307, + -0.668686427641914, + -0.6468964352105951, + -0.6249280813189897, + -0.604264476828028, + -0.5864039546700478, + -0.5728210368660179, + -0.5649273192869646, + -0.564033266886294, + -0.5713118968459809, + -0.587765287212205, + -0.614194785057132, + -0.6511757024977313, + -0.6990371830896658, + -0.7578477977595872, + -0.8274072915497835, + -0.9072447534003611, + -0.9966233246462691, + -1.0945514017136666, + -1.1998001286162885, + -1.3109268192319286, + -1.4263038018399243, + -1.5441520426874604, + -1.662578784807415, + -1.7796183359470379, + -1.8932750578556383, + -2.0015675503851837, + -2.1025729893854366, + -2.1944705681335677, + -2.2755830083170685, + -2.344415148049212, + -2.399688680080703, + -2.4403722017244736, + -2.4657058469187674, + -2.4752198976955238, + -2.468746914031648, + -2.4464270742075604, + -2.408706578663535, + -2.356329135020824, + -2.290320706415812, + -2.2119678655781545, + -2.1227902492652797, + -2.0245077480399356, + -1.9190031915263166, + -1.8082813961582456, + -1.6944255284402432, + -1.5795517997917452, + -1.4657635476099369, + -1.3551057703418128, + -1.2495211717974373, + -1.150808731989514, + -1.0605857593972778, + -0.9802542942695245, + -0.910972626507762, + -0.8536325674175236, + -0.8088429752384722, + -0.7769198832844, + -0.7578834204470156, + -0.7514615506384674, + -0.7571004944580872, + -0.7739815369564653, + -0.8010437737208294, + -0.8370122073086903, + -0.8804304807126371, + -0.9296974270771428, + -0.9831065278917457, + -1.0388873074281626, + -1.0952476507862672, + -1.150416017483882, + -1.202682532368068, + -1.250437970416245, + -1.2922097107940558, + -1.3266938168112097, + -1.3527825000821223, + -1.3695863466700227, + -1.376450817251193, + -1.3729666790000572, + -1.3589741803103883, + -1.334560936793628, + -1.3000536543038907, + -1.2560039681119617, + -1.203168822975415, + -1.1424859531180347, + -1.0750451407196202, + -1.0020560334802642, + -0.9248133836613197, + -0.8446606307262184, + -0.7629527858724857, + -0.6810195885186725, + -0.6001298919554194, + -0.521458198275054, + -0.44605420235266974, + -0.37481612263867675, + -0.3084684949555845, + -0.24754498697502034, + -0.19237665861278067, + -0.1430859505942766, + -0.09958653354585069, + -0.06158899696597667, + -0.028612205205776117, + -2.4864427753583253e-16 + ], + [ + 0, + 0.023901916889567956, + 0.045690448558034655, + 0.06642769579219036, + 0.08722275572524443, + 0.1091971292589808, + 0.13344964501347684, + 0.16102184308787026, + 0.19286475165899913, + 0.22980795521445288, + 0.27253179585865556, + 0.3215434700742619, + 0.37715768454323234, + 0.439482418607763, + 0.5084102105927493, + 0.5836152437947486, + 0.6645563590257869, + 0.7504859679356043, + 0.8404646887744908, + 0.9333813776554675, + 1.0279780874909668, + 1.1228793571897313, + 1.2166251187019257, + 1.3077064120323811, + 1.3946030209077853, + 1.475822086391384, + 1.5499367238486816, + 1.6156236611555972, + 1.671698933174953, + 1.717150708961834, + 1.7511683929397073, + 1.773167227879551, + 1.7828077338289605, + 1.7800094405968456, + 1.7649585089889785, + 1.738108984339245, + 1.7001775813448694, + 1.6521320579601977, + 1.5951733942117563, + 1.530712145353283, + 1.4603394839733335, + 1.385793578888745, + 1.3089220765817515, + 1.231641550615248, + 1.1558948633824808, + 1.0836074407142386, + 1.0166434918361047, + 0.9567632140914416, + 0.9055820034890716, + 0.8645326488864455, + 0.8348314204806303, + 0.8174488738410253, + 0.8130860811195599, + 0.8221568739548523, + 0.8447765410180514, + 0.880757270559893, + 0.9296104684144676, + 0.9905559185819683, + 1.0625375907239791, + 1.1442457406240276, + 1.2341447997482988, + 1.3305064121389052, + 1.4314468543443604, + 1.5349679699226721, + 1.6390006667766917, + 1.7414499652224802, + 1.8402405487117826, + 1.9333617583947023, + 2.0189109874652744, + 2.0951344711040374, + 2.160464531826088, + 2.213552426578947, + 2.25329604887924, + 2.2788618640003646, + 2.289700594661244, + 2.285556325398287, + 2.266468852135022, + 2.2327692655212257, + 2.1850689184344207, + 2.124242085671472, + 2.051402773466038, + 1.9678762744112352, + 1.8751661863019524, + 1.7749177183682137, + 1.6688781928287206, + 1.5588557116402177, + 1.4466769963003816, + 1.334145421720238, + 1.2230002532710036, + 1.1148780595040162, + 1.0112772127240353, + 0.9135263071328984, + 0.8227572217637021, + 0.739883435497913, + 0.6655840671275732, + 0.6002939680705723, + 0.5442000426133327, + 0.4972438142612533, + 0.4591301008221407, + 0.42934150911310864, + 0.4071583164354299, + 0.39168317376501544, + 0.38186994822389436, + 0.37655592271882576, + 0.37449649109769156, + 0.37440142971512547, + 0.3749717922928475, + 0.37493646519483814, + 0.373087434892236, + 0.368312858034944, + 0.35962708614318317, + 0.34619687987557923, + 0.32736314998018956, + 0.30265768077173455, + 0.2718144242690549, + 0.23477509560176424, + 0.19168894933178018, + 0.14290676815007616, + 0.08896924615119771, + 0.0305900947371429, + -0.03136566353693696, + -0.09590762266691516, + -0.16194944198645653, + -0.2283410236338035, + -0.2939025547170488, + -0.35745950079327243, + -0.4178776113105429, + -0.4740969958028432, + -0.5251643519398864, + -0.5702624724708061, + -0.6087362265218988, + -0.6401142999053988, + -0.6641260868357765, + -0.6807132490301886, + -0.6900355944866265, + -0.6924710738592865, + -0.6886098436190151, + -0.6792424982839725, + -0.665342725066631, + -0.6480447794876719, + -0.6286163161757659, + -0.6084272317576237, + -0.5889152833177684, + -0.5715493336422817, + -0.5577911410921309, + -0.5490566557399914, + -0.546677803177789, + -0.5518657325866313, + -0.5656764762950459, + -0.5889799147875446, + -0.6224328652127051, + -0.6664570146950152, + -0.7212223045173418, + -0.7866362403164328, + -0.8623394600241666, + -0.9477077389117898, + -1.041860453503404, + -1.1436753672062567, + -1.2518094441889926, + -1.3647252481986465, + -1.480722343365177, + -1.5979729880762454, + -1.7145613038622378, + -1.8285250116500402, + -1.9378987599840873, + -2.0407580256019333, + -2.1352625472380846, + -2.2196982592568006, + -2.292516722605174, + -2.3523711059343944, + -2.398147848260505, + -2.4289932343550675, + -2.444334232774068, + -2.443893081186436, + -2.427695251190623, + -2.3960705815311627, + -2.3496475307400497, + -2.2893406637878435, + -2.216331648355865, + -2.132044190912341, + -2.038113487126487, + -1.936350891768782, + -1.8287046269413043, + -1.7172174414916939, + -1.6039822065010254, + -1.4910964800522408, + -1.3806170979136405, + -1.2745158447537326, + -1.1746372331046073, + -1.0826593651971153, + -1.0000587772937837, + -0.9280800691065834, + -0.8677110046960477, + -0.8196636387613104, + -0.7843618766995376, + -0.7619357218065895, + -0.7522223023045418, + -0.7547736084464137, + -0.7688707097320508, + -0.7935440681788203, + -0.8275994193772399, + -0.869648562226589, + -0.9181442839554552, + -0.9714185520407966, + -1.0277230312201364, + -1.085270933682639, + -1.1422791848858747, + -1.1970098868302095, + -1.2478100849673255, + -1.2931488935423423, + -1.3316511057914926, + -1.3621265081939224, + -1.3835942295426504, + -1.3953015831315572, + -1.3967370006390158, + -1.3876368058018995, + -1.36798573097263, + -1.3380112362655272, + -1.2981718453245417, + -1.2491398599453893, + -1.1917789541855854, + -1.1271172737722273, + -1.056316775483222, + -0.9806396310599422, + -0.9014125889148005, + -0.8199902327660992, + -0.7377180982791383, + -0.6558966063322992, + -0.5757467447865652, + -0.4983783803522823, + -0.4247620096420267, + -0.3557046656531924, + -0.29183058512585114, + -0.23356711630571855, + -0.18113620882030465, + -0.13455168115565402, + -0.09362231031602476, + -0.057960636488908014, + -0.02699722677031896, + -2.35656621128742e-16 + ], + [ + 0, + 0.0229245699457807, + 0.044249554173665155, + 0.06505398941607013, + 0.08644506813270268, + 0.10952349876301791, + 0.13534891528583054, + 0.16490626771778913, + 0.19907410127686845, + 0.23859558468937364, + 0.28405307870617835, + 0.3358469460522587, + 0.39417919601512796, + 0.45904243339446593, + 0.5302144456910377, + 0.6072586176265872, + 0.6895302120055978, + 0.7761884043405991, + 0.8662138093944022, + 0.9584310946222484, + 1.051536142054331, + 1.1441270998366568, + 1.2347385605147578, + 1.321878017869446, + 1.4040636898981544, + 1.4798627540583555, + 1.5479290232642253, + 1.6070390978734335, + 1.6561260599288765, + 1.6943098305352349, + 1.7209233881669914, + 1.7355341430787607, + 1.7379598784621875, + 1.7282787997521094, + 1.7068333763271448, + 1.674227811267717, + 1.6313191310980135, + 1.5792020446889985, + 1.5191878748456298, + 1.4527780137144706, + 1.3816324903577837, + 1.3075343622263544, + 1.2323507487395609, + 1.1579914120729857, + 1.0863658553648163, + 1.0193399502188318, + 0.9586931225159728, + 0.90607711766231, + 0.8629773336284141, + 0.8306776532160791, + 0.8102296272605658, + 0.802426759840599, + 0.807784527440943, + 0.8265266292680139, + 0.8585778188187079, + 0.903563510914707, + 0.9608161975262813, + 1.0293885437345638, + 1.108072876062771, + 1.1954266230210673, + 1.2898031257702423, + 1.3893871087755552, + 1.4922339893144014, + 1.5963121134239244, + 1.6995469365490827, + 1.7998661214622391, + 1.895244505077669, + 1.9837478900783831, + 2.063574646689927, + 2.133094163743362, + 2.1908812650373894, + 2.235745805044052, + 2.2667567747928743, + 2.2832603814469845, + 2.284891710397201, + 2.271579733085884, + 2.243545583452867, + 2.201294186967251, + 2.1455994847389563, + 2.0774836473282314, + 1.9981908148890346, + 1.9091560287464668, + 1.8119701313119454, + 1.7083415036899752, + 1.6000555812164745, + 1.4889331348145614, + 1.3767883293595558, + 1.2653875687131841, + 1.1564101108332656, + 1.0514113861158652, + 0.9517898791989258, + 0.8587583407246608, + 0.7733199834077448, + 0.6962501890233106, + 0.6280841128283824, + 0.5691104229771384, + 0.5193712584106793, + 0.47866833334054804, + 0.446574963670366, + 0.4224536443063475, + 0.40547866992307063, + 0.3946631687458061, + 0.3888898123146391, + 0.3869443766222247, + 0.38755126359981446, + 0.38941004826573367, + 0.3912320969755122, + 0.39177630655485646, + 0.38988304248040073, + 0.38450540592140675, + 0.3747370330091954, + 0.35983572325403923, + 0.3392423051760756, + 0.3125942731142082, + 0.2797338666142737, + 0.2407104092786209, + 0.19577687378851952, + 0.14538079018771402, + 0.09014976162872292, + 0.03087199190676283, + -0.03152764130857801, + -0.09601531786732921, + -0.16147906246620772, + -0.22676175945926594, + -0.2906955082280599, + -0.3521363964819684, + -0.4099987568364091, + -0.4632879839930282, + -0.5111310255335327, + -0.5528037178520403, + -0.587754218628654, + -0.6156218864888549, + -0.6362510746095599, + -0.6496994351062506, + -0.6562404717947681, + -0.6563602268220532, + -0.6507481379735103, + -0.6402822543713553, + -0.6260091449630447, + -0.6091189729465804, + -0.5909163365680963, + -0.572787589315705, + -0.5561654475442235, + -0.5424917685549353, + -0.5331794351765972, + -0.5295743125480483, + -0.5329182482700182, + -0.5443140681581824, + -0.5646934768840789, + -0.5947887068285801, + -0.6351086710637323, + -0.6859202696306885, + -0.7472353747883531, + -0.8188038836861279, + -0.9001130793300378, + -0.9903933863948592, + -1.0886304511918516, + -1.1935833188190523, + -1.303808329071384, + -1.4176882098316523, + -1.5334657159576164, + -1.649281046387858, + -1.7632121751999672, + -1.8733171561115605, + -1.9776774063536045, + -2.0744409463470244, + -2.1618645669669587, + -2.23835391656273, + -2.302500544879024, + -2.353115009551059, + -2.38925524130021, + -2.4102494741711555, + -2.415713174473463, + -2.4055595434423926, + -2.380003320590362, + -2.3395577735928716, + -2.285024922478416, + -2.217479206930369, + -2.1382449617383092, + -2.048868213050035, + -1.951083443476045, + -1.8467760939855884, + -1.7379416719858694, + -1.6266424155238097, + -1.5149625212329827, + -1.4049629770686107, + -1.298637049224991, + -1.1978674557213531, + -1.1043862174010315, + -1.0197381115493385, + -0.9452485656151207, + -0.8819967207776177, + -0.8307942699820807, + -0.7921705356449206, + -0.7663641019197982, + -0.7533211589013318, + -0.7527005552757641, + -0.7638853956382521, + -0.7860008628949442, + -0.8179377986488795, + -0.8583814388168814, + -0.9058445812272657, + -0.9587043595141319, + -1.0152417157124298, + -1.0736826045184018, + -1.1322399266044028, + -1.189155177466711, + -1.2427388122311893, + -1.2914083652221242, + -1.3337234248891565, + -1.368416648285198, + -1.3944201025576326, + -1.410886341237268, + -1.4172037574493137, + -1.4130059011526788, + -1.3981745995062966, + -1.3728368746665627, + -1.337355807869742, + -1.2923156487040797, + -1.238501610305105, + -1.1768749213047045, + -1.1085438205198164, + -1.0347312777498647, + -0.9567403012821312, + -0.8759177479085529, + -0.7936175831172042, + -0.7111645469045554, + -0.6298191642322778, + -0.5507449990024375, + -0.47497898761926044, + -0.4034056043818583, + -0.3367355082730271, + -0.2754892018072047, + -0.2199861005122916, + -0.17033926970952912, + -0.12645593713008366, + -0.08804373932592768, + -0.05462251061437879, + -0.025541279220685522, + -2.242531641306249e-16 + ], + [ + 0, + 0.02212754324871093, + 0.0431737441291337, + 0.06422461337735809, + 0.08637557092911731, + 0.11069706200088207, + 0.1382007452356245, + 0.16980716498122034, + 0.20631578266914363, + 0.24837818264230951, + 0.29647518713544874, + 0.35089851546178485, + 0.41173750630882444, + 0.478871292314401, + 0.5519666760472178, + 0.6304818096828916, + 0.7136756307508387, + 0.8006228571157997, + 0.8902341996246423, + 0.9812813142619553, + 1.0724258906858606, + 1.162252163841981, + 1.2493020427965476, + 1.3321119783709299, + 1.409250640484533, + 1.4793564486622, + 1.54117399569852, + 1.5935884251594272, + 1.6356568678022874, + 1.666636109077739, + 1.686005748039711, + 1.6934862151050856, + 1.6890511395650325, + 1.672933694536947, + 1.6456266938013968, + 1.6078763680793446, + 1.5606699039918428, + 1.5052169833553628, + 1.442925709772091, + 1.3753734499647698, + 1.3042732454791477, + 1.2314365630301647, + 1.158733246073926, + 1.0880496037670506, + 1.0212456244561263, + 0.9601123279041629, + 0.9063302728775198, + 0.86143021436068, + 0.8267568580225267, + 0.8034365897101886, + 0.7923499663511173, + 0.7941096438894842, + 0.8090442904364304, + 0.8371888917561495, + 0.8782817049599434, + 0.9317679585111407, + 0.9968102361915848, + 1.0723053234511402, + 1.156907140434421, + 1.2490552407105713, + 1.3470082218643866, + 1.4488812768804837, + 1.552687016524852, + 1.6563786151059432, + 1.757894276975204, + 1.8552019902411645, + 1.9463435281675026, + 2.0294766777404996, + 2.102914718448844, + 2.165162241342448, + 2.21494648727622, + 2.2512434917161763, + 2.2732984489260737, + 2.2806398476870817, + 2.273087080517425, + 2.2507513849868612, + 2.214030135333276, + 2.163594661287823, + 2.1003719249314656, + 2.025520531792572, + 1.940401685721229, + 1.846545815111618, + 1.7456156979414825, + 1.6393669924603267, + 1.529607137298818, + 1.418153617959365, + 1.3067926053385357, + 1.1972389559879613, + 1.0910985237111586, + 0.9898336688850311, + 0.8947327672200096, + 0.8068844156926407, + 0.7271569127322092, + 0.6561834554587792, + 0.5943533522247084, + 0.5418093975227566, + 0.49845140226552925, + 0.46394571934973733, + 0.4377404560986923, + 0.41908592530403793, + 0.4070597586213745, + 0.40059599316790717, + 0.3985173470955036, + 0.3995698249904841, + 0.40245874099536416, + 0.4058852178182511, + 0.40858221397047484, + 0.4093491497305119, + 0.40708424395040715, + 0.4008137377908494, + 0.3897172661255515, + 0.3731487405115587, + 0.3506522266350394, + 0.3219724309736254, + 0.28705955270945677, + 0.24606840409150585, + 0.1993518517471655, + 0.14744877909717527, + 0.09106691229518432, + 0.03106098539229493, + -0.03159315865492609, + -0.09582782901684299, + -0.16051532054060128, + -0.22450146319196063, + -0.2866399856673222, + -0.34582676951128755, + -0.4010330718494779, + -0.45133682030444905, + -0.49595113217390757, + -0.534249280303304, + -0.5657854185167599, + -0.5903104877112445, + -0.6077828470488503, + -0.6183733099981654, + -0.6224644088701347, + -0.6206438603388978, + -0.6136923544766645, + -0.6025659372716409, + -0.5883733977065836, + -0.5723492016731827, + -0.5558226329475048, + -0.5401839031437302, + -0.526848075389588, + -0.51721770828687, + -0.5126451659159753, + -0.5143955551593531, + -0.5236112429897872, + -0.5412788737332207, + -0.56819975040954, + -0.6049643663984661, + -0.651931775741714, + -0.7092143747520517, + -0.7766685370762378, + -0.8538914021504552, + -0.9402239665900302, + -1.0347604731776492, + -1.1363639365837142, + -1.2436874926208825, + -1.3552011124844747, + -1.4692230886780822, + -1.5839555785324855, + -1.6975233874200801, + -1.8080150895580045, + -1.9135255218131975, + -2.0121986467717705, + -2.1022697665416863, + -2.182106078750843, + -2.25024460080153, + -2.3054265468608013, + -2.34662732292975, + -2.3730814067152983, + -2.3843014984903106, + -2.380091463788701, + -2.3605527353818987, + -2.326083996964819, + -2.277374130577055, + -2.2153885701152958, + -2.141349360451395, + -2.05670937182737, + -1.963121258693175, + -1.862401877583744, + -1.756492986940183, + -1.6474191403253662, + -1.5372437511102792, + -1.4280243497927214, + -1.3217680736110167, + -1.2203884215890786, + -1.1256642767661686, + -1.0392021419036321, + -0.9624024567892299, + -0.8964307663010024, + -0.8421943910766572, + -0.8003251198402569, + -0.771168297419818, + -0.7547785287982035, + -0.7509220609351438, + -0.7590857444554233, + -0.7784923205129153, + -0.8081216280322661, + -0.8467371867498056, + -0.8929174854134777, + -0.9450911952062926, + -1.0015754385593432, + -1.0606161751672276, + -1.120429721825005, + -1.1792444017119732, + -1.2353413223956669, + -1.2870933099531097, + -1.333001078435457, + -1.3717257880826426, + -1.4021172403237907, + -1.4232370702721335, + -1.4343764252945201, + -1.4350677580896916, + -1.425090511041295, + -1.4044706217136935, + -1.3734739334136887, + -1.3325937459171073, + -1.2825328860039604, + -1.224180811780843, + -1.1585863855782188, + -1.086927054521023, + -1.0104752631294465, + -0.9305629864391833, + -0.8485453135952913, + -0.7657640296989836, + -0.6835121374928549, + -0.6030002304801886, + -0.5253255761058279, + -0.4514446930723964, + -0.38215011265747667, + -0.31805190245627873, + -0.259564405150737, + -0.20689850790758166, + -0.16005961331939345, + -0.11885133409782787, + -0.08288478477801657, + -0.05159319827170734, + -0.024251456895743807, + -2.144783963361557e-16 + ], + [ + 0, + 0.02151136596317517, + 0.04245922678000075, + 0.06392671487821748, + 0.0869878905945, + 0.11267390951174294, + 0.1419402699511169, + 0.17563602552754193, + 0.21447579795006336, + 0.25901535400783, + 0.3096314197157169, + 0.36650629618703917, + 0.4296177186812489, + 0.49873426554201605, + 0.5734164807911687, + 0.6530237265828587, + 0.7367266332767215, + 0.8235248693127415, + 0.9122698140513466, + 1.0016915878082293, + 1.090429777745325, + 1.1770670990282774, + 1.260165150273529, + 1.3383013628637774, + 1.4101062067670258, + 1.474299702049756, + 1.5297262957407478, + 1.5753871978937048, + 1.6104693278356783, + 1.6343701003212956, + 1.6467173797450043, + 1.647384046304558, + 1.6364967482317032, + 1.614438555716358, + 1.5818453814662425, + 1.5395961862806011, + 1.488797141779345, + 1.430760072705662, + 1.3669756442770407, + 1.2990818923332161, + 1.2288288122155884, + 1.1580398234484561, + 1.0885710088304033, + 1.0222690864159714, + 0.9609291095357804, + 0.9062529024992009, + 0.8598092275740016, + 0.8229966424722489, + 0.797009947720858, + 0.7828110413677561, + 0.7811048964249501, + 0.7923212567302006, + 0.8166025124092109, + 0.8537980700970572, + 0.9034653790746152, + 0.9648776162364776, + 1.0370378741825659, + 1.1186995415806071, + 1.2083924170629732, + 1.3044539609061208, + 1.4050649659366445, + 1.5082888235113314, + 1.6121134746056518, + 1.7144950721082186, + 1.8134023399151762, + 1.9068605983317988, + 1.9929944340046553, + 2.070068025905304, + 2.136522195942548, + 2.1910073321907606, + 2.2324114325359203, + 2.2598826343098213, + 2.2728457283195507, + 2.2710123003304767, + 2.2543842959869145, + 2.223250962616722, + 2.178179279518999, + 2.1199981433202417, + 2.0497767230295434, + 1.9687975369289759, + 1.87852492706721, + 1.7805697138947698, + 1.676650900919916, + 1.5685553650890733, + 1.458096511352577, + 1.3470728885836531, + 1.237227758288766, + 1.1302105775970697, + 1.0275413046583968, + 0.9305783592025069, + 0.8404909755468939, + 0.7582365722087739, + 0.6845436343327131, + 0.6199004656028174, + 0.5645500186615541, + 0.5184908609930957, + 0.4814841805357659, + 0.45306658576075315, + 0.43256831230061316, + 0.4191363159595029, + 0.41176161334944306, + 0.40931012938711037, + 0.4105562279484738, + 0.41421804012738267, + 0.4189936652620804, + 0.42359730409656654, + 0.42679439145924036, + 0.4274348274000905, + 0.4244834599721748, + 0.4170470483486071, + 0.4043970297775963, + 0.3859875255593108, + 0.36146814692343177, + 0.3306912981918267, + 0.29371381845553834, + 0.250792950528107, + 0.20237677341795318, + 0.14908937825597243, + 0.09171120388411434, + 0.031155073709378443, + -0.0315614132158527, + -0.09534638942778646, + -0.15906630189020607, + -0.2215796936322855, + -0.281771275806803, + -0.33858537354660034, + -0.3910578442979371, + -0.4383456057776238, + -0.47975297137534667, + -0.5147540721821837, + -0.5430107448278866, + -0.5643853804385988, + -0.5789483593607467, + -0.5869798355779348, + -0.5889657804638113, + -0.58558834398725, + -0.5777107389644909, + -0.5663569967039015, + -0.5526870767934647, + -0.537967936423759, + -0.5235412723943831, + -0.5107887390616869, + -0.5010955156302351, + -0.49581314454527287, + -0.4962225880264675, + -0.5034984512872366, + -0.5186752985950597, + -0.542616942529573, + -0.5759895186558008, + -0.6192390689786748, + -0.6725742501312354, + -0.7359546588894553, + -0.8090851313213724, + -0.891416226015737, + -0.9821509499901067, + -1.080257631801458, + -1.184488693889545, + -1.2934049290586156, + -1.405404747907327, + -1.5187577383938748, + -1.6316417687171465, + -1.7421827730684343, + -1.8484962888775822, + -1.9487297657508988, + -2.0411046416323884, + -2.1239571814884295, + -2.1957770980907356, + -2.255243022721466, + -2.3012539647255976, + -2.3329559911014437, + -2.3497634685410005, + -2.351374337828123, + -2.3377790311917206, + -2.3092627936824783, + -2.26640132624036, + -2.2100498270370488, + -2.1413256650430372, + -2.061585071748072, + -1.9723943798502694, + -1.8754964680377186, + -1.772773185537412, + -1.6662046261051142, + -1.5578261962344147, + -1.4496844747439728, + -1.3437928892835669, + -1.242088238996099, + -1.1463890715009522, + -1.0583568770481646, + -0.9794609942497309, + -0.9109480319063707, + -0.8538165023225225, + -0.8087972358145649, + -0.776340006947656, + -0.7566066537917746, + -0.7494708158179554, + -0.7545242577653254, + -0.7710895897614638, + -0.7982390420006267, + -0.8348188090744021, + -0.8794783480843409, + -0.9307038991167585, + -0.9868553993129205, + -1.0462058849572584, + -1.1069824215568649, + -1.1674075710682883, + -1.2257403989288602, + -1.2803160414550667, + -1.329582895963761, + -1.3721365605485805, + -1.4067497361387968, + -1.4323974080983006, + -1.4482767455419112, + -1.4538212907113555, + -1.4487091547993112, + -1.4328650869354205, + -1.4064564359035308, + -1.369883175741419, + -1.3237623129195946, + -1.26890713067524, + -1.2063018518851572, + -1.1370724125003493, + -1.0624541303218142, + -0.9837571265112818, + -0.9023304079482696, + -0.8195255461628275, + -0.7366608924681516, + -0.6549872490595292, + -0.575655872801467, + -0.4996896233378568, + -0.42795798172618527, + -0.36115656221843095, + -0.2997916207428452, + -0.24416993212157856, + -0.1943942674368619, + -0.15036455680567737, + -0.11178467484690129, + -0.07817464007496139, + -0.0488878790278881, + -0.023133074688005142, + -2.0635977570917997e-16 + ], + [ + 0, + 0.021074742000610363, + 0.042098639312604415, + 0.06414229693489497, + 0.08824919764410959, + 0.11540270570730425, + 0.14649463974073212, + 0.1822962652532775, + 0.22343249573361354, + 0.27036000912056696, + 0.3233498861990384, + 0.3824752614134854, + 0.44760434771051805, + 0.518399058560515, + 0.5943193057587166, + 0.6746329046196806, + 0.7584308724717527, + 0.8446477656196894, + 0.9320865677436031, + 1.0194475224017705, + 1.105360196971065, + 1.1884179776889625, + 1.2672141277140723, + 1.340378494061668, + 1.4066139261203292, + 1.4647314688682025, + 1.5136834179466718, + 1.5525933708890896, + 1.580782477937744, + 1.597791185357057, + 1.6033958717973273, + 1.5976199014555577, + 1.5807387534989992, + 1.553279032125248, + 1.5160113121560006, + 1.469936927478052, + 1.416268960177443, + 1.3564078331215466, + 1.291912044421181, + 1.2244647052629793, + 1.1558366499588395, + 1.0878469760137242, + 1.022321940314083, + 0.9610531834411626, + 0.905756276420505, + 0.8580305823146949, + 0.8193213989309059, + 0.7908852991246872, + 0.7737595128972874, + 0.7687361024217532, + 0.7763415695229426, + 0.7968224076679695, + 0.8301369702792384, + 0.8759538775630218, + 0.9336570286875983, + 1.002357128826447, + 1.0809094851359775, + 1.1679376759535245, + 1.261862557033863, + 1.360935940919754, + 1.463278173682078, + 1.5669187399992748, + 1.669838955150938, + 1.7700157527429383, + 1.8654655510740417, + 1.9542871796253531, + 2.034702870233604, + 2.105096364527048, + 2.1640472590022797, + 2.21036079998847, + 2.243092450454078, + 2.2615666764720492, + 2.2653895400913036, + 2.254454833965974, + 2.2289436477367395, + 2.1893174130639137, + 2.136304629552139, + 2.070881623797006, + 1.9942478347768533, + 1.9077962473865184, + 1.8130797089525126, + 1.7117739583559817, + 1.605638271649626, + 1.4964746800246627, + 1.3860867444533334, + 1.2762388756713294, + 1.1686171683386586, + 1.0647926747886993, + 0.9661879778857962, + 0.8740478358567038, + 0.7894145667440766, + 0.7131087190089892, + 0.645715440829357, + 0.5875768171588183, + 0.5387902942105768, + 0.499213159435778, + 0.4684728950451868, + 0.4459830783972543, + 0.4309643667263398, + 0.4224699800639997, + 0.4194149878544243, + 0.42060861433550695, + 0.42478870745073766, + 0.4306574675681847, + 0.43691750675755714, + 0.44230730738463864, + 0.4456351703052191, + 0.4458107873703035, + 0.4418736391112945, + 0.4330175046360529, + 0.4186104747137435, + 0.398209978095442, + 0.37157246226998447, + 0.33865750975325126, + 0.29962631610085616, + 0.25483460244014583, + 0.20482017972420197, + 0.1502855204638834, + 0.09207582289010888, + 0.031153169071765754, + -0.03143252048103491, + -0.09457495031533199, + -0.15714448355507218, + -0.21802185649570843, + -0.27613166729732824, + -0.33047473706679414, + -0.3801584700556491, + -0.42442439059546627, + -0.4626721064687938, + -0.49447903986028013, + -0.5196153755485435, + -0.5380537988524297, + -0.5499737299398936, + -0.5557599030621099, + -0.5559952855061894, + -0.551448477872106, + -0.5430558809583447, + -0.5318990514455151, + -0.5191777952214055, + -0.5061796603704262, + -0.4942465886637581, + -0.48473956234779925, + -0.4790021401202219, + -0.47832381090656056, + -0.48390410546461726, + -0.49681839358954266, + -0.5179862590008563, + -0.5481432856820442, + -0.5878170098985129, + -0.6373076932585966, + -0.6966744564090666, + -0.7657271831022872, + -0.8440244636249903, + -0.930877698405298, + -1.0253613306744005, + -1.1263290251133777, + -1.232435461234366, + -1.3421632695133037, + -1.4538545085181955, + -1.5657459657068291, + -1.6760074661021214, + -1.7827822941750253, + -1.884228776979392, + -1.9785620423655808, + -2.0640949558587045, + -2.1392772538429528, + -2.20273192876603, + -2.2532879832959747, + -2.2900087532843374, + -2.312215102035225, + -2.3195029082822303, + -2.3117544045395637, + -2.2891430678679576, + -2.2521319180512878, + -2.201465234997286, + -2.138153864037247, + -2.0634544308826483, + -1.9788429335676339, + -1.8859833132131958, + -1.7866917256082828, + -1.6828973384810717, + -1.5766005624187343, + -1.4698296846577932, + -1.3645969129161966, + -1.2628548501480883, + -1.1664544102436634, + -1.0771051495400157, + -0.9963389304208196, + -0.925477752702081, + -0.8656064879047463, + -0.8175511333688186, + -0.7818630703608863, + -0.7588096661185182, + -0.7483714076871969, + -0.7502455991545124, + -0.763856497286364, + -0.7883716074385908, + -0.822723715682509, + -0.8656380978900733, + -0.9156642253505068, + -0.9712111822623359, + -1.0305859256688454, + -1.0920334551040507, + -1.1537779188816346, + -1.2140636675141663, + -1.2711952725271547, + -1.3235755606673756, + -1.3697407683428031, + -1.408391997649124, + -1.4384222515796685, + -1.4589384395434866, + -1.4692778722694781, + -1.4690189043421453, + -1.4579855295149862, + -1.436245884916082, + -1.4041047715390405, + -1.362090446244735, + -1.3109360812225628, + -1.2515564169969184, + -1.1850202514088484, + -1.1125195066987963, + -1.0353356974292347, + -0.9548046815623614, + -0.872280614123206, + -0.7891000366719132, + -0.7065470260044018, + -0.6258202924123423, + -0.5480030623582854, + -0.4740365040148391, + -0.4046973587558396, + -0.34058032982163927, + -0.28208565386967727, + -0.2294121451634495, + -0.1825558592037694, + -0.14131437629332344, + -0.10529655955673467, + -0.07393750000883326, + -0.04651822696415797, + -0.022189638806084894, + -1.9990768281194183e-16 + ], + [ + 0, + 0.020814588163810134, + 0.04208117084905372, + 0.06484846996642576, + 0.09012062533697406, + 0.11882530699371477, + 0.1517838623459178, + 0.18968430761250338, + 0.23305790007180827, + 0.2822599358042103, + 0.33745530903552046, + 0.39860924665870257, + 0.46548349810920475, + 0.5376381198614756, + 0.6144388489599464, + 0.6950699148591915, + 0.7785519970990951, + 0.8637649015754131, + 0.9494744038075073, + 1.0343625968204924, + 1.117060986880111, + 1.1961855047699679, + 1.2703725455389934, + 1.3383151171113519, + 1.3987981687265176, + 1.4507321841722092, + 1.4931841619099937, + 1.5254051636163093, + 1.5468536929550842, + 1.5572142656227095, + 1.556410647445598, + 1.5446133667315658, + 1.522241246998078, + 1.4899568531734981, + 1.4486558947591592, + 1.3994507795240934, + 1.3436486573537139, + 1.2827244322531755, + 1.218289347762239, + 1.1520558639858154, + 1.0857996402448569, + 1.021319513586063, + 0.9603964181146636, + 0.9047522219186421, + 0.8560094663846027, + 0.815652976699217, + 0.7849942726126475, + 0.7651396460229192, + 0.7569626880976403, + 0.7610819454838622, + 0.7778442651487549, + 0.8073142534417106, + 0.8492701303176579, + 0.9032061078241426, + 0.9683412666242358, + 1.0436347492865379, + 1.127806938102335, + 1.2193661419718271, + 1.3166401849328124, + 1.4178121714096585, + 1.5209596031084545, + 1.6240959421232595, + 1.7252136562120537, + 1.8223277467806227, + 1.9135187487424592, + 1.9969742043781096, + 2.0710276502781615, + 2.134194216512804, + 2.1852020188547097, + 2.2230186261896927, + 2.2468720037002434, + 2.256265465101925, + 2.250986310906053, + 2.231107980862205, + 2.196985703708701, + 2.1492457823473003, + 2.088768803783056, + 2.016667206951729, + 1.9342577744033917, + 1.8430297325031686, + 1.744609246482514, + 1.6407211788837304, + 1.5331490407260806, + 1.4236941026534096, + 1.314134647535635, + 1.2061863362100584, + 1.101464624575373, + 1.001450113987173, + 0.9074576393041572, + 0.8206098019787116, + 0.7418155417270326, + 0.6717542124180305, + 0.6108654890932045, + 0.5593452869387087, + 0.5171477232176077, + 0.4839930033604953, + 0.4593809663232813, + 0.4426098855681092, + 0.43279999403270253, + 0.4289210873750533, + 0.42982346241127195, + 0.43427136937902805, + 0.44097809935116117, + 0.4486417931599877, + 0.45598104637857506, + 0.4617693964664174, + 0.46486781276494543, + 0.464254366688815, + 0.45905033671717904, + 0.44854209864666605, + 0.4321982635633473, + 0.40968165126276007, + 0.3808558222039804, + 0.345786033086499, + 0.3047346261849376, + 0.25815100699242777, + 0.20665650485428527, + 0.1510245435763665, + 0.09215667012427782, + 0.031055096430970642, + -0.03120750069798976, + -0.09352010582136888, + -0.1547665516985502, + -0.21385887364511472, + -0.2697699337332117, + -0.32156443562936976, + -0.3684274919288019, + -0.40968996847911104, + -0.44484991281183467, + -0.4735894743371051, + -0.49578683987215827, + -0.5115228364462809, + -0.5210819909148084, + -0.5249479792494474, + -0.5237935438294606, + -0.5184651009586141, + -0.5099623995307865, + -0.49941372174331417, + -0.4880472347056589, + -0.4771592047030823, + -0.4680798711142727, + -0.46213784235062977, + -0.4606239199799546, + -0.4647552782526703, + -0.47564092396577823, + -0.4942493359629521, + -0.521379135146906, + -0.5576335658117794, + -0.6033994790712275, + -0.6588314013466976, + -0.7238411479229679, + -0.7980933064907804, + -0.881006771704725, + -0.971762362640577, + -1.0693164043309686, + -1.1724200060297063, + -1.2796436261961461, + -1.3894063809568167, + -1.5000094323221866, + -1.6096726877328993, + -1.7165739562194788, + -1.8188896407695054, + -1.9148360030897906, + -2.002710016963694, + -2.080928830395228, + -2.1480668846719615, + -2.2028897897467288, + -2.2443841287369484, + -2.2717824581267303, + -2.2845828821821317, + -2.282562707456472, + -2.265785822989075, + -2.234603600497926, + -2.1896492629207205, + -2.1318258253200173, + -2.0622878656435146, + -1.9824175303766949, + -1.8937953181410976, + -1.7981663094068467, + -1.6974026196464882, + -1.593462943791274, + -1.488350129548682, + -1.3840677642979735, + -1.282576783748378, + -1.1857531097495582, + -1.0953472996097668, + -1.012947140618531, + -0.9399440523820173, + -0.8775040678027978, + -0.8265440533193525, + -0.7877137030629723, + -0.7613837029717881, + -0.7476403130133157, + -0.7462864621210098, + -0.7568492949950469, + -0.7785939563436957, + -0.8105432501888873, + -0.8515026731250707, + -0.900090194269799, + -0.9547700441294259, + -1.0138896823864951, + -1.0757190429057528, + -1.1384911047536, + -1.2004428118824968, + -1.2598553619215882, + -1.3150929062209904, + -1.364638748313957, + -1.4071281951093284, + -1.4413773026831616, + -1.466406864279935, + -1.4814611093928034, + -1.4860207165234671, + -1.479809885078123, + -1.4627973602711817, + -1.435191455187834, + -1.3974292625670637, + -1.3501603917304688, + -1.2942256998673378, + -1.2306316082948487, + -1.1605207003611147, + -1.0851393857544787, + -1.0058034839841357, + -0.9238626260699219, + -0.8406643969333539, + -0.7575191411005264, + -0.6756663311770603, + -0.5962433527843644, + -0.5202574924687097, + -0.44856182825689034, + -0.381835618271733, + -0.32056966380717433, + -0.2650569925321353, + -0.2153890683706155, + -0.17145759062416344, + -0.13296179971180697, + -0.09942106417747586, + -0.0701923869658058, + -0.04449234184807345, + -0.021422836501936444, + -1.9511555178739183e-16 + ], + [ + 0, + 0.020726090331266135, + 0.042392719809300435, + 0.06601775114034217, + 0.09255774611647785, + 0.12287744338178717, + 0.1577217096213061, + 0.19769072619185685, + 0.24321909003694084, + 0.2945594070075323, + 0.35177083998654557, + 0.41471294640652534, + 0.4830450030839195, + 0.5562308742214082, + 0.6335493345440293, + 0.7141096174769325, + 0.7968718216426757, + 0.8806716812226567, + 0.9642490901405131, + 1.0462796695349648, + 1.12540858517116, + 1.200285758429562, + 1.2696015729531391, + 1.3321221600358266, + 1.3867233499433624, + 1.4324224035399056, + 1.4684066882408404, + 1.494058533251609, + 1.508975589577191, + 1.5129861281972834, + 1.506158832459746, + 1.4888067751373102, + 1.4614854134085071, + 1.4249845827345036, + 1.380314619550496, + 1.328686889175725, + 1.2714891357250429, + 1.2102562015754532, + 1.1466367818317798, + 1.0823569812870775, + 1.0191815250118155, + 0.9588735368075093, + 0.9031538407049868, + 0.8536607583985663, + 0.8119113694805304, + 0.7792651716552471, + 0.7568910254330007, + 0.7457381933614137, + 0.746512189417014, + 0.7596560420158279, + 0.7853374469143349, + 0.8234421471387453, + 0.8735737293772559, + 0.9350598735876385, + 1.0069649386288029, + 1.0881086152725972, + 1.1770902326866008, + 1.2723181689472702, + 1.3720436936570328, + 1.4743984642931138, + 1.577434810112964, + 1.679167870428966, + 1.7776186094830773, + 1.870856709090761, + 1.9570423431981605, + 2.0344658654335417, + 2.101584490973764, + 2.157055126358862, + 2.1997625935026344, + 2.228842604798349, + 2.243698972199582, + 2.2440146713868048, + 2.229756529232726, + 2.201173455161542, + 2.1587882909411444, + 2.1033835052007346, + 2.0359811048351792, + 1.9578172718966917, + 1.870312358275346, + 1.775036978441103, + 1.673675030161117, + 1.5679845422711933, + 1.4597572956306, + 1.3507781872327425, + 1.2427853075617077, + 1.1374316777423037, + 1.0362495464778747, + 0.940618078420842, + 0.8517351772251631, + 0.7705940803290786, + 0.6979652411862214, + 0.6343838812475443, + 0.5801434518315505, + 0.5352950986511802, + 0.4996530728582924, + 0.4728058857167401, + 0.4541328630562436, + 0.44282562397319647, + 0.43791388907444556, + 0.4382949198305517, + 0.4427658048499539, + 0.45005774318524266, + 0.45887143071365993, + 0.4679126342290016, + 0.4759270396068376, + 0.4817334851456574, + 0.48425473825497, + 0.48254504181142505, + 0.47581374396473336, + 0.46344442969465166, + 0.44500909132294514, + 0.4202770054381992, + 0.3892181219840653, + 0.3520009140837381, + 0.30898478090620185, + 0.26070723688596276, + 0.20786625532273814, + 0.15129825940780733, + 0.0919523658933608, + 0.030861583109730337, + -0.03088825659098238, + -0.09219099160389883, + -0.15195317797045055, + -0.2091267990901768, + -0.2627407575390668, + -0.3119302995290987, + -0.3559635756272198, + -0.3942646149410517, + -0.42643208221846607, + -0.45225329587326685, + -0.4717131071014364, + -0.48499737290910083, + -0.492490895684897, + -0.494769845382666, + -0.49258882380712093, + -0.4868628702831957, + -0.4786448405934861, + -0.4690987131178377, + -0.4594694844949134, + -0.4510504090761385, + -0.44514840959433905, + -0.44304853892663343, + -0.4459784032134372, + -0.4550734640728826, + -0.47134412196485165, + -0.4956454442326905, + -0.5286503408770784, + -0.5708269101395113, + -0.6224205764519067, + -0.6834415276704796, + -0.753657829590466, + -0.8325944567050508, + -0.9195383324576812, + -1.0135493234466886, + -1.1134769838644107, + -1.2179827025725518, + -1.3255667692162063, + -1.4345997510574873, + -1.5433574618918218, + -1.6500587112705736, + -1.7529049486491732, + -1.8501208648879968, + -1.9399949841068151, + -2.0209192730255316, + -2.091426812827071, + -2.1502266198801223, + -2.1962347654093155, + -2.2286010288929825, + -2.2467304235809604, + -2.250299052564187, + -2.239263887394195, + -2.2138662051071174, + -2.1746285701591868, + -2.122345401563423, + -2.0580673186837326, + -1.9830796079569206, + -1.8988752936430624, + -1.8071234251098145, + -1.7096333079742574, + -1.6083155038492238, + -1.5051405010870975, + -1.4020960148834136, + -1.3011439080255993, + -1.204177732644261, + -1.1129818783230025, + -1.0291932732165747, + -0.9542665233633966, + -0.8894432926621884, + -0.8357266240379623, + -0.7938607836438041, + -0.7643170774344866, + -0.7472859463443823, + -0.7426754961016339, + -0.7501164640791621, + -0.7689734722675334, + -0.7983622661897566, + -0.8371724979942938, + -0.8840954814975948, + -0.9376562307609783, + -0.9962489946832257, + -1.0581754204500875, + -1.121684420403472, + -1.185012781345694, + -1.2464255432859215, + -1.3042551863940024, + -1.3569387000923432, + -1.4030516658545578, + -1.441338563903381, + -1.4707386116079904, + -1.4904065555061037, + -1.4997279666503451, + -1.4983287272014016, + -1.4860785414107112, + -1.463088452736574, + -1.4297024971269416, + -1.3864837668037577, + -1.3341952956289036, + -1.2737763029476166, + -1.206314444598222, + -1.1330148148095163, + -1.0551665186647692, + -0.9741076898601831, + -0.8911898613171398, + -0.8077426060700799, + -0.7250393525691076, + -0.6442652425107326, + -0.5664878415117169, + -0.49263143488334926, + -0.4234555444641627, + -0.3595381903999211, + -0.30126429678322936, + -0.24881950536362313, + -0.20218952053413025, + -0.1611649650673499, + -0.12535158325253826, + -0.09418548978738939, + -0.06695303249886679, + -0.0428147179967464, + -0.020832544703980375, + -1.919601749629227e-16 + ], + [ + 0, + 0.0208027769275336, + 0.04301608356532208, + 0.06761840789336324, + 0.09551110024549772, + 0.127489455834434, + 0.1642166785505628, + 0.20620143497030513, + 0.2537796149564986, + 0.30710080672801593, + 0.36611987255734124, + 0.4305938793969023, + 0.5000845000690537, + 0.5739658586867652, + 0.6514376522950026, + 0.7315432429260604, + 0.8131922838420995, + 0.8951873240104913, + 0.9762537288739556, + 1.055072165948974, + 1.1303128330148544, + 1.2006705564775815, + 1.264899859229376, + 1.3218490917520194, + 1.3704927375376055, + 1.4099610437599173, + 1.4395661895936274, + 1.4588242861756142, + 1.4674726019549527, + 1.4654815226502231, + 1.453060883391405, + 1.4306604487079937, + 1.3989644604246645, + 1.358880320665348, + 1.3115216233942668, + 1.2581858896006364, + 1.2003274948296598, + 1.1395263999357077, + 1.0774534036197572, + 1.0158327257997855, + 0.9564028018575783, + 0.9008762174932579, + 0.8508997410077518, + 0.8080154135871951, + 0.7736236384204185, + 0.7489491666590644, + 0.7350108133175834, + 0.7325956507413705, + 0.7422383232887741, + 0.7642060068789019, + 0.7984894039521299, + 0.8448000214008937, + 0.90257382962909, + 0.9709812487255468, + 1.0489432564997094, + 1.1351532665160111, + 1.2281042858580766, + 1.326120735537581, + 1.4273942043366616, + 1.5300223121809318, + 1.6320497842004518, + 1.7315107832840555, + 1.8264715184758364, + 1.9150721397485488, + 1.9955669466860575, + 2.0663619790014276, + 2.1260491196219933, + 2.17343592475261, + 2.2075704978375064, + 2.2277608431740656, + 2.233588267184432, + 2.2249145377923587, + 2.201882661505479, + 2.164911290028095, + 2.1146829198158077, + 2.0521261952398326, + 1.9783927653748783, + 1.8948292724781812, + 1.8029451638882172, + 1.7043771155972653, + 1.6008509328249267, + 1.4941418487039664, + 1.3860341753762033, + 1.2782812716330574, + 1.1725667775476698, + 1.0704680297371347, + 0.9734225119373058, + 0.8826981159859537, + 0.7993678901150189, + 0.7242898371273441, + 0.6580921974479338, + 0.6011645143867146, + 0.5536546346628569, + 0.5154716499103504, + 0.4862946381683433, + 0.4655869218916999, + 0.4526154243176601, + 0.4464745824126221, + 0.44611416513522484, + 0.4503702530661396, + 0.45799856182530785, + 0.46770923889805616, + 0.4782022327740121, + 0.48820232536463637, + 0.4964929336345071, + 0.5019478238131396, + 0.5035599404430955, + 0.5004666313258221, + 0.4919706461134177, + 0.47755639838193237, + 0.45690110564775716, + 0.42988055578130624, + 0.3965693882290118, + 0.35723592082864797, + 0.31233169419054796, + 0.2624760420493209, + 0.20843612422134017, + 0.151102975596359, + 0.0914642270016506, + 0.030574239222618736, + -0.03047754220775051, + -0.09059915829689116, + -0.14872875719620768, + -0.20386638627596423, + -0.2551040992963332, + -0.301653565776797, + -0.3428704340540658, + -0.3782747831924382, + -0.40756709975857225, + -0.4306393309495928, + -0.44758069275401974, + -0.4586780475164016, + -0.4644108060393277, + -0.4654404516301576, + -0.4625949236818213, + -0.4568482329134262, + -0.44929580587026796, + -0.4411261695006277, + -0.43358968469786374, + -0.4279651181062352, + -0.4255249021621856, + -0.427499972695538, + -0.43504509039522915, + -0.44920554655837563, + -0.4708861248680069, + -0.5008231401326855, + -0.5395603031745048, + -0.5874290701005614, + -0.6445340262504496, + -0.7107437328210164, + -0.7856873305359634, + -0.8687570530476701, + -0.9591166565356535, + -1.055715624825256, + -1.1573088649475098, + -1.2624814699929443, + -1.3696779978260072, + -1.4772355989346682, + -1.583420227289774, + -1.6864650870906106, + -1.784610407737371, + -1.8761436008559462, + -1.9594388377233867, + -2.0329950934536765, + -2.095471735674427, + -2.1457207894511074, + -2.1828150856313435, + -2.2060715947934906, + -2.215069361311829, + -2.2096615789854694, + -2.189981488146626, + -2.1564419208054115, + -2.109728471636245, + -2.0507864247813083, + -1.980801715828263, + -1.9011763512657995, + -1.8134988407392931, + -1.7195103172676405, + -1.6210671243098012, + -1.5201007336468495, + -1.418575922389184, + -1.3184481794526732, + -1.2216213305408639, + -1.12990636556426, + -1.0449824236442513, + -0.9683608390921863, + -0.9013530782875557, + -0.8450433039996517, + -0.8002661926870579, + -0.767590504381997, + -0.747308766999122, + -0.7394332906648986, + -0.7436985765141466, + -0.7595700320306339, + -0.7862587551313251, + -0.8227420054561257, + -0.8677888472186924, + -0.9199903267503946, + -0.9777934424591443, + -1.0395380778654146, + -1.1034960017522648, + -1.167910994852231, + -1.2310391409247163, + -1.2911883220178733, + -1.3467559830441829, + -1.3962642788380812, + -1.4383917863581765, + -1.4720010538706623, + -1.4961613655471635, + -1.5101662212467966, + -1.513545164288029, + -1.506069731427639, + -1.4877534455281873, + -1.458845918877176, + -1.4198212801628525, + -1.3713612771253723, + -1.3143335364573108, + -1.249765579436608, + -1.1788152931719351, + -1.1027386407515918, + -1.0228554569918635, + -0.9405142183619473, + -0.8570566950425704, + -0.773783389540227, + -0.6919206399877476, + -0.6125902179420781, + -0.5367821814184974, + -0.4653316558710341, + -0.3989001111064858, + -0.33796158338414295, + -0.28279416223141174, + -0.23347692409461182, + -0.18989235333001206, + -0.1517341488091592, + -0.11852017516241001, + -0.08961018493383026, + -0.06422781502062783, + -0.04148625082181809, + -0.02041685729585934, + -1.9040217631105167e-16 + ], + [ + 0, + 0.02103660874656932, + 0.043931178091114284, + 0.06961484159809968, + 0.09892677057971053, + 0.13258708105913228, + 0.17117299595701208, + 0.2150989132629351, + 0.2646009300341967, + 0.31972625689008777, + 0.38032783115114227, + 0.44606430210696146, + 0.5164054224886516, + 0.5906427396005386, + 0.6679053412926946, + 0.7471802795380478, + 0.8273371711795466, + 0.9071563645709105, + 0.9853599651797038, + 1.0606449352074634, + 1.1317174239229975, + 1.1973274482265681, + 1.2563030279605962, + 1.3075828880990232, + 1.3502468700586003, + 1.3835432462940942, + 1.4069122048311942, + 1.4200048617044811, + 1.4226972671775577, + 1.4150989934836196, + 1.397556024638389, + 1.3706478093648435, + 1.3351784828530777, + 1.2921624083691563, + 1.2428043320108395, + 1.1884745796387535, + 1.130679850797034, + 1.0710302771246067, + 1.011203509511985, + 0.9529066766320341, + 0.897837115469732, + 0.8476428105985813, + 0.8038834922407647, + 0.7679933332073599, + 0.7412461518198717, + 0.7247239726098766, + 0.7192897202765567, + 0.725564726869038, + 0.7439116197446081, + 0.7744230312478184, + 0.816916433325292, + 0.870935254781071, + 0.9357562891278115, + 1.0104032506490397, + 1.0936661890252866, + 1.1841263322887343, + 1.280185797393905, + 1.3801014905178284, + 1.4820224182005166, + 1.5840295480798348, + 1.6841772962828316, + 1.7805356790221836, + 1.87123214958296, + 1.9544921490760214, + 2.028677429908383, + 2.0923212641334716, + 2.1441597233971246, + 2.183158311268158, + 2.208533340037574, + 2.2197675698699912, + 2.216619765422726, + 2.1991279703624684, + 2.1676064500615295, + 2.1226364034921192, + 2.0650506932867354, + 1.9959129844965637, + 1.9164918143196907, + 1.8282302337940044, + 1.7327117652869441, + 1.6316235040906362, + 1.5267172565263256, + 1.419769649159878, + 1.3125421630553282, + 1.2067420430344273, + 1.1039850048297546, + 1.0057606135483579, + 0.9134011362837421, + 0.8280545818257793, + 0.7506625334923275, + 0.6819432598308559, + 0.6223804553490582, + 0.5722178228395015, + 0.5314595637643832, + 0.4998766971657251, + 0.4770189842811593, + 0.4622320990176282, + 0.45467955704321417, + 0.4533688016323187, + 0.4571807453485327, + 0.4649019855861225, + 0.4752588508754005, + 0.4869523951484082, + 0.4986934397818202, + 0.5092367685469751, + 0.5174136083989884, + 0.522161578562456, + 0.5225513603140487, + 0.5178094284070023, + 0.5073362899521668, + 0.4907197950826218, + 0.4677432128642587, + 0.4383879023921479, + 0.4028305493711897, + 0.3614350791666338, + 0.3147394947685568, + 0.26343801887311563, + 0.2083590400431666, + 0.15043947062716628, + 0.0906962160746819, + 0.030195529174269927, + -0.029978923303594772, + -0.08875842140495746, + -0.14512110951288434, + -0.19812261167179002, + -0.2469245196635585, + -0.29081998385692404, + -0.32925571173993606, + -0.3618497718565804, + -0.3884047092583455, + -0.40891559981151654, + -0.42357280170806644, + -0.4327593000002117, + -0.4370426804385421, + -0.4371619087849948, + -0.43400922754901916, + -0.4286076103117942, + -0.42208433119841804, + -0.4156413106384668, + -0.4105229856705606, + -0.4079825214554244, + -0.4092472285890806, + -0.4154840769886562, + -0.42776620083643346, + -0.44704127015339656, + -0.47410256343829493, + -0.5095635134158977, + -0.5538364157861281, + -0.6071158909486623, + -0.6693675734382091, + -0.7403223760745058, + -0.8194765387567086, + -0.9060975288028696, + -0.9992357142961314, + -1.0977415876629257, + -1.200288177265899, + -1.3053981536256958, + -1.4114750172740602, + -1.5168376501890173, + -1.6197574249208662, + -1.7184969971137545, + -1.8113498599144011, + -1.8966797139688003, + -1.9729587050201505, + -2.0388036026476497, + -2.09300903796421, + -2.134576984098091, + -2.1627417494570653, + -2.17698985805292, + -2.1770743110386364, + -2.163022856181838, + -2.1351400340511075, + -2.0940029177736275, + -2.0404506137275495, + -1.9755677397904745, + -1.9006622421331965, + -1.817238047497224, + -1.7269631721015672, + -1.6316340177487079, + -1.5331366776622128, + -1.433406146835358, + -1.334384382429538, + -1.2379781877868843, + -1.146017898222812, + -1.060217827825098, + -0.9821393944649829, + -0.913157776148085, + -0.8544328672620072, + -0.8068852002791962, + -0.7711773795633778, + -0.7477014420096293, + -0.7365724175428523, + -0.7376282144647206, + -0.750435803885773, + -0.7743035276804391, + -0.8082992092048584, + -0.8512736089498403, + -0.901888641689817, + -0.9586496605736142, + -1.019941019664406, + -1.0840640519289724, + -1.1492765463738766, + -1.2138327771783093, + -1.2760231299752385, + -1.3342123860089017, + -1.3868757632992899, + -1.432631874163163, + -1.4702718389310225, + -1.4987838944185015, + -1.5173729501712603, + -1.5254746728338544, + -1.5227638160126196, + -1.509156656295858, + -1.4848075420980953, + -1.4500997070883617, + -1.4056306405538945, + -1.352192439669844, + -1.2907476900274886, + -1.2224015279396112, + -1.1483706283738615, + -1.0699499336696234, + -0.9884779887560416, + -0.905301777214144, + -0.8217419585696545, + -0.739059390585037, + -0.6584237815257318, + -0.5808852574456791, + -0.5073495500367484, + -0.43855741356843736, + -0.37506876739535566, + -0.31725193629077264, + -0.2652782276349754, + -0.21912194562892648, + -0.17856580173457415, + -0.1432115410292157, + -0.11249546962770193, + -0.08570844216887256, + -0.062019753763056545, + -0.0405042806439827, + -0.020172130583058195, + -1.9038664723107595e-16 + ], + [ + 0, + 0.02141808402658015, + 0.04511528500747241, + 0.07196800694582536, + 0.10274699697208296, + 0.13809227500464594, + 0.17849165587652543, + 0.22426345206981527, + 0.2755438369817115, + 0.33227922795894504, + 0.3942239182332969, + 0.46094305066014535, + 0.5318208872524471, + 0.6060741904325542, + 0.682770398194637, + 0.7608501493768477, + 0.8391536001899618, + 0.9164498719725179, + 0.9914688854313384, + 1.0629347705610022, + 1.129599995731902, + 1.1902793353013936, + 1.2438827932048178, + 1.2894466204351942, + 1.3261616066746327, + 1.353397889600369, + 1.3707256080317405, + 1.3779308251016404, + 1.3750262625786478, + 1.362256514507703, + 1.3400975443433043, + 1.3092504113544954, + 1.2706293157730113, + 1.2253441943624928, + 1.174678235264014, + 1.1200608096945357, + 1.0630364351158013, + 1.0052304869095272, + 0.9483124608046938, + 0.8939576541388824, + 0.843808178807791, + 0.7994342412925385, + 0.7622966248279268, + 0.7337112855246865, + 0.7148169285893693, + 0.7065463637552206, + 0.7096023522335602, + 0.7244385529952896, + 0.7512460565131224, + 0.7899458621318683, + 0.8401875141882147, + 0.9013539653027498, + 0.9725725864891365, + 1.052732096497666, + 1.1405050407289348, + 1.2343753165916074, + 1.3326701206020166, + 1.433595585810119, + 1.5352752889015584, + 1.6357907367583802, + 1.7332228940698593, + 1.8256937879557809, + 1.9114072231311783, + 1.9886876619700504, + 2.056016367412461, + 2.1120639719442726, + 2.1557187212699733, + 2.186109744713277, + 2.2026248232935792, + 2.2049222579367327, + 2.192936581176947, + 2.1668780025562207, + 2.127225627148593, + 2.07471463459395, + 2.010317749119679, + 1.9352214657810565, + 1.8507976212941233, + 1.7585710063883246, + 1.6601838079526767, + 1.5573577411970556, + 1.4518547828878003, + 1.3454374452535305, + 1.2398295357530351, + 1.136678330477133, + 1.037519049012295, + 0.9437424571707184, + 0.8565663426616638, + 0.7770115096021143, + 0.7058828232366812, + 0.6437557092267095, + 0.5909683755478143, + 0.5476198827982296, + 0.5135740441005152, + 0.4884689923605233, + 0.4717321139763232, + 0.4625999175864806, + 0.460142287321565, + 0.46329046519515793, + 0.47086801929900857, + 0.481623985484541, + 0.49426732187542277, + 0.5075017890012654, + 0.5200603641633118, + 0.5307383168722053, + 0.538424112309449, + 0.5421273706858866, + 0.5410031905127283, + 0.5343722410953929, + 0.5217361415145335, + 0.5027877671159101, + 0.4774162569441739, + 0.4457066332658504, + 0.4079340838467573, + 0.3645530954511408, + 0.3161817596339913, + 0.2635816959591752, + 0.20763415016755277, + 0.14931292271089194, + 0.08965486399641848, + 0.029728734619121667, + -0.029396729760058384, + -0.08668468943830637, + -0.14116115043114932, + -0.19194416010326734, + -0.23827046150077438, + -0.27951888514981066, + -0.31522984158930695, + -0.3451203788411265, + -0.36909438383678805, + -0.3872476326138252, + -0.3998675276855873, + -0.4074274989959754, + -0.41057618380130084, + -0.4101216371545324, + -0.40701095494348316, + -0.402305812343298, + -0.3971545290052591, + -0.39276136554767, + -0.39035383154768416, + -0.3911488413014131, + -0.39631858865730724, + -0.40695702529355754, + -0.42404781751243986, + -0.4484346251310578, + -0.4807944930830971, + -0.5216150731731781, + -0.5711763018155622, + -0.629537051778169, + -0.696527154586874, + -0.7717450583134063, + -0.8545612462330785, + -0.9441273987454668, + -1.0393911375554745, + -1.1391160509830631, + -1.2419065659034487, + -1.346237108551635, + -1.4504848863490758, + -1.5529655287981319, + -1.651970749725483, + -1.745807137672209, + -1.8328351474621423, + -1.9115073548328925, + -1.980405047830665, + -2.0382722632284995, + -2.0840464327440076, + -2.1168848809805474, + -2.1361865129567477, + -2.1416081415191073, + -2.133075031137046, + -2.1107853715013727, + -2.0752085386597896, + -2.0270771496142963, + -1.9673730647624617, + -1.897307637663589, + -1.8182966498064386, + -1.7319304959666877, + -1.639940300239017, + -1.5441607411050169, + -1.4464904435445365, + -1.3488508552596794, + -1.2531445611056715, + -1.1612140038987655, + -1.0748015705468412, + -0.9955119701433731, + -0.9247777760635167, + -0.8638289285331329, + -0.8136668994502028, + -0.7750441097342556, + -0.748449063884542, + -0.7340975298066466, + -0.7319299476534694, + -0.7416151029388278, + -0.7625599501392213, + -0.7939253270300285, + -0.8346471606564405, + -0.8834626365000555, + -0.9389406862030129, + -0.9995160489602755, + -1.063526079799047, + -1.1292494163900488, + -1.1949455762338483, + -1.2588945389549249, + -1.3194353743749274, + -1.3750030058156595, + -1.4241622489309749, + -1.4656383379719091, + -1.4983432419292633, + -1.5213971801877817, + -1.5341448684749983, + -1.5361661579659884, + -1.5272808701195344, + -1.5075477736970724, + -1.4772577948832062, + -1.4369216929094533, + -1.3872525685869637, + -1.3291436983537124, + -1.263642298762678, + -1.191919923032151, + -1.115240269994604, + -1.03492524461644, + -0.9523201468159842, + -0.8687588807136054, + -0.7855300693923574, + -0.7038449309769693, + -0.6248077211556881, + -0.5493894765080444, + -0.47840570399710225, + -0.4124985570246488, + -0.3521239202153383, + -0.29754369660223917, + -0.2488234553946139, + -0.20583545945349127, + -0.1682669524996882, + -0.13563345044748568, + -0.10729665251818253, + -0.08248646918756397, + -0.060326558547434364, + -0.039862672968768435, + -0.020093046298165784, + -1.918439364245441e-16 + ], + [ + 0, + 0.021936357519357658, + 0.04654332314564361, + 0.07463586226451417, + 0.10691082342380279, + 0.1439240659696543, + 0.1860714782900345, + 0.23357440841790136, + 0.28646991434365765, + 0.34460611637049043, + 0.407642801379933, + 0.4750572923114369, + 0.5461554589577328, + 0.6200876118154125, + 0.6958688926176503, + 0.7724036565701387, + 0.8485132352338538, + 0.9229663781599352, + 0.9945115981144439, + 1.0619105909277642, + 1.1239718680730935, + 1.1795837289073725, + 1.227745710438567, + 1.2675976853043427, + 1.2984458325988861, + 1.319784779976391, + 1.331315307301805, + 1.3329571097670152, + 1.324856239199058, + 1.3073869732770964, + 1.281148000306989, + 1.2469529486560913, + 1.2058154314107135, + 1.1589289147604551, + 1.107641849593018, + 1.0534286265205235, + 0.9978570220216025, + 0.9425528948624893, + 0.8891629651355699, + 0.8393165612541362, + 0.7945872516918145, + 0.7564552873089975, + 0.7262717664732277, + 0.7052253991226457, + 0.6943126882623167, + 0.6943122694780148, + 0.7057640527584746, + 0.7289536985491627, + 0.7639028342323325, + 0.8103652811869198, + 0.8678294195337275, + 0.93552667109958, + 1.0124459346136316, + 1.0973536642579504, + 1.188819146926746, + 1.2852444082267738, + 1.3848980654456653, + 1.4859523501666279, + 1.5865224462622574, + 1.684707232548234, + 1.7786304848093768, + 1.8664815800807646, + 1.9465547572737247, + 2.017286022214637, + 2.0772868410906917, + 2.1253738428104447, + 2.16059384602404, + 2.1822436381861228, + 2.1898840593608497, + 2.183348079406522, + 2.162742700422181, + 2.1284446633984966, + 2.0810900853078684, + 2.02155829680897, + 1.950950287829599, + 1.8705622952010128, + 1.7818551801727753, + 1.6864203412943564, + 1.5859429874593765, + 1.4821636549753614, + 1.3768388899510386, + 1.2717020322232164, + 1.1684250291694973, + 1.0685821773258475, + 0.9736166375586998, + 0.8848104969723107, + 0.8032590596062638, + 0.7298499405918214, + 0.6652474174814857, + 0.609882360965862, + 0.563947928421034, + 0.5274010611364794, + 0.49996968319295415, + 0.48116536032583346, + 0.4703010441676511, + 0.46651340428581645, + 0.4687891404347228, + 0.475994573113539, + 0.4869077341541611, + 0.5002521224986597, + 0.5147312549055499, + 0.52906312786326, + 0.542013715752217, + 0.5524286609936365, + 0.5592623637167606, + 0.5616037500041898, + 0.5586980871846059, + 0.5499643196364443, + 0.5350075164626495, + 0.5136261501942938, + 0.4858140601353556, + 0.45175709166646516, + 0.41182454029927773, + 0.3665556630437691, + 0.31664164634371866, + 0.2629035362587652, + 0.20626673979400018, + 0.14773279370427053, + 0.08834916653426095, + 0.02917790935536894, + -0.0287360006172311, + -0.08439577231367881, + -0.13688253262105635, + -0.1853828776412763, + -0.22921350017979134, + -0.2678422262221537, + -0.30090488631580675, + -0.328217555765524, + -0.3497838176407169, + -0.3657968317432157, + -0.3766361276269278, + -0.3828591770792812, + -0.3851879376892397, + -0.3844906907829547, + -0.3817596207617144, + -0.37808469557872115, + -0.3746245068659538, + -0.3725748105409063, + -0.37313557246584395, + -0.3774773672432542, + -0.386708000359377, + -0.4018402240164996, + -0.42376139505823324, + -0.4532058798771679, + -0.49073094712949145, + -0.5366968060112726, + -0.5912513477996817, + -0.6543200337816366, + -0.7256012464030653, + -0.8045672855930291, + -0.8904710520889421, + -0.9823583176907358, + -1.0790853422339033, + -1.1793414621890497, + -1.281676149541337, + -1.3845299251427126, + -1.4862684109435615, + -1.5852187229205077, + -1.6797073432261211, + -1.768098567722275, + -1.848832604736233, + -1.9204624031680786, + -1.981688312993641, + -2.0313897282029125, + -2.0686529301984606, + -2.092794437040339, + -2.1033792685710804, + -2.100233656864813, + -2.08345186272889, + -2.0533968989580065, + -2.0106951062945093, + -1.9562246750445684, + -1.891098350450379, + -1.816640699676554, + -1.734360449215871, + -1.6459185204487885, + -1.5530924950883482, + -1.4577383287557057, + -1.3617501978370854, + -1.267019410424742, + -1.1753933354165782, + -1.0886353041632348, + -1.0083864163910092, + -0.9361301370405838, + -0.8731605042395788, + -0.8205546824895665, + -0.7791504913944104, + -0.7495294214173339, + -0.7320055171275087, + -0.7266203683787158, + -0.7331443042667994, + -0.7510837370869062, + -0.7796944574509358, + -0.8180005407831258, + -0.8648183930114343, + -0.9187853426250676, + -0.9783920802927233, + -1.0420181584869028, + -1.1079696941653507, + -1.1745183691716081, + -1.2399407967642788, + -1.302557319154964, + -1.3607693201536704, + -1.413094178454474, + -1.4581970496640735, + -1.494918747283702, + -1.5222990924246833, + -1.5395952165676086, + -1.5462944282983944, + -1.5421213905127849, + -1.5270394957018483, + -1.5012464701124328, + -1.4651643792724134, + -1.4194243440807983, + -1.3648464050178313, + -1.3024150888761383, + -1.2332513348894993, + -1.1585815227431246, + -1.0797044116155534, + -0.9979568455308354, + -0.9146791048081712, + -0.8311807857439157, + -0.7487080708605907, + -0.6684132106745762, + -0.5913269760718108, + -0.5183347596517761, + -0.45015690688565824, + -0.3873337461325983, + -0.33021566331884733, + -0.2789584355412493, + -0.23352390134412046, + -0.1936859073924271, + -0.15904133521223274, + -0.1290258810254097, + -0.10293413976322727, + -0.07994343417373197, + -0.05914073431262015, + -0.03955193403012536, + -0.020172691312177832, + -1.946905840445738e-16 + ], + [ + 0, + 0.022579372155995456, + 0.04818814151171346, + 0.07757384569422059, + 0.1113547707958225, + 0.14999942797976892, + 0.19381017776677414, + 0.24291145429681793, + 0.29724292242182976, + 0.3565577723389032, + 0.42042622286498865, + 0.48824416876680626, + 0.5592467732332443, + 0.6325266770199633, + 0.7070563742989024, + 0.781714194901458, + 0.8553132362690776, + 0.9266325084872521, + 0.9944494943371598, + 1.0575732849507702, + 1.1148774314952892, + 1.1653316549068102, + 1.2080315790615221, + 1.2422256973906745, + 1.2673388477540373, + 1.2829915538195182, + 1.2890146912183607, + 1.2854590509011699, + 1.272599497596786, + 1.2509335549715972, + 1.2211743876872228, + 1.1842382906157431, + 1.141226933505698, + 1.0934047419532893, + 1.0421719193043226, + 0.9890337259867595, + 0.935566729933428, + 0.8833828217400055, + 0.8340918489760701, + 0.7892637640594571, + 0.7503911982602404, + 0.7188533702023544, + 0.6958822107117564, + 0.6825315376053998, + 0.6796500451483463, + 0.6878587850609946, + 0.7075337112399062, + 0.7387937412888027, + 0.7814946574236469, + 0.8352290304870431, + 0.899332207061356, + 0.9728942545117966, + 1.0547776157649364, + 1.1436400882314437, + 1.2379626128775483, + 1.3360812431838427, + 1.4362225624543181, + 1.5365417341398053, + 1.635162305578562, + 1.7302168424159374, + 1.819887450011288, + 1.9024452398976113, + 1.9762878237954034, + 2.0399739642096346, + 2.092254578129159, + 2.132099377159787, + 2.1587185314413877, + 2.171578863390656, + 2.170414207781152, + 2.1552297137405008, + 2.1263000085218415, + 2.084161288878227, + 2.0295975499813226, + 1.9636213005745846, + 1.8874492430663397, + 1.8024735153975315, + 1.7102291949052515, + 1.6123588505547422, + 1.51057499676363, + 1.4066213480038745, + 1.302233797365897, + 1.1991020437732485, + 1.0988327715668964, + 1.0029152433097148, + 0.9126901030064494, + 0.8293221041137786, + 0.753777376819647, + 0.6868057346085236, + 0.6289283939602256, + 0.5804313462993662, + 0.5413644813685597, + 0.5115464195117686, + 0.49057487043005105, + 0.47784220126448634, + 0.47255577068705007, + 0.47376247113743614, + 0.48037682123425773, + 0.491211867149985, + 0.5050120873827727, + 0.5204874514234157, + 0.5363477603285844, + 0.5513363966624237, + 0.564262632599979, + 0.5740316875940977, + 0.5796717897596245, + 0.5803575763902918, + 0.5754292667015984, + 0.5644071514864706, + 0.5470010670359567, + 0.5231146512981393, + 0.49284431551433283, + 0.45647300106093047, + 0.414458925490425, + 0.36741965041980024, + 0.31611192371715896, + 0.26140785637329794, + 0.20426808780065786, + 0.1457126697336178, + 0.08679045649556073, + 0.028547826708979953, + -0.028002422373793228, + -0.08191117224403155, + -0.13232126349523066, + -0.1784931981672405, + -0.2198275703452107, + -0.2558836163949882, + -0.2863933770161206, + -0.31127107722839853, + -0.33061745459396197, + -0.34471889727062927, + -0.35404138856868295, + -0.359219390120292, + -0.36103992813362407, + -0.36042227313207187, + -0.3583937198706642, + -0.356062077813272, + -0.35458557099509275, + -0.355140917014483, + -0.35889040646262704, + -0.36694883495827196, + -0.38035114927484115, + -0.4000216565346227, + -0.4267456113524406, + -0.4611439409335525, + -0.5036517937839595, + -0.5545015056823758, + -0.6137104691439572, + -0.6810742724184762, + -0.7561653440770628, + -0.838337202669688, + -0.9267342711699553, + -1.0203070764411881, + -1.1178325182359403, + -1.217938763672007, + -1.319134204933774, + -1.4198398130997656, + -1.51842413214282, + -1.6132400865441003, + -1.7026627254154811, + -1.785126996852219, + -1.859164639229101, + -1.9234392915512937, + -1.9767789624658656, + -2.0182050562744873, + -2.0469572328792083, + -2.0625134751665306, + -2.0646048495678104, + -2.053224570714425, + -2.028631116198639, + -1.9913452791712132, + -1.9421411914020645, + -1.8820314939650227, + -1.812246973350403, + -1.7342111141188277, + -1.6495101419222953, + -1.5598592398249573, + -1.4670657136796252, + -1.372989956575476, + -1.2795051162406321, + -1.1884564014311185, + -1.1016209729674316, + -1.020669351945166, + -0.9471292420572006, + -0.882352605783026, + -0.8274867568142591, + -0.7834501353787497, + -0.7509133214302511, + -0.7302857157092915, + -0.7217081834999401, + -0.7250518138015626, + -0.7399228010671568, + -0.7656733111751837, + -0.8014180514400966, + -0.84605612967583, + -0.8982976628775929, + -0.9566944849942376, + -1.019674208208949, + -1.0855768154159342, + -1.1526929050077983, + -1.2193026740078157, + -1.2837147127983322, + -1.3443036944674018, + -1.3995460738210699, + -1.4480529645428364, + -1.4885994364536188, + -1.5201495664727982, + -1.5418766843975766, + -1.5531783753113357, + -1.553685931289714, + -1.5432680828390968, + -1.5220289817560209, + -1.4903005483390828, + -1.4486294336262193, + -1.3977589781743576, + -1.338606669627687, + -1.272237708976389, + -1.1998353873618466, + -1.1226690493053824, + -1.0420604725445015, + -0.9593495279673638, + -0.8758599946817288, + -0.7928663948223174, + -0.7115626806220577, + -0.633033553419049, + -0.5582291220304291, + -0.4879435181664435, + -0.42279798158696863, + -0.3632288101993208, + -0.30948044324961416, + -0.26160381239405056, + -0.21945995912781513, + -0.18272878124309683, + -0.1509226391118368, + -0.12340442796745758, + -0.09940960813101124, + -0.07807158416401803, + -0.05844973876921575, + -0.039559360038299136, + -0.020402653045908718, + -1.988303888215092e-16 + ], + [ + 0, + 0.023334001785766577, + 0.050020830326554806, + 0.08073537190149734, + 0.11601352767370447, + 0.15623416494096523, + 0.2016054305480524, + 0.2521558069473828, + 0.30773016809052944, + 0.3679909622598291, + 0.43242451540219, + 0.5003523148911186, + 0.5709470033077783, + 0.6432526881074496, + 0.7162090590709124, + 0.7886787041359087, + 0.859476928151948, + 0.9274033105121837, + 0.9912741882631146, + 1.049955222470062, + 1.1023931981038855, + 1.147646221758927, + 1.1849115168199336, + 1.2135500714395453, + 1.2331074695267346, + 1.2433303270587375, + 1.244177863156675, + 1.235828254870272, + 1.218679553546829, + 1.1933450758190922, + 1.1606433202784323, + 1.1215825983672718, + 1.0773407014975507, + 1.0292400525414522, + 0.9787189054826622, + 0.9272992592507032, + 0.8765522380035417, + 0.8280617581817137, + 0.7833873507838806, + 0.7440270342521591, + 0.7113811383709964, + 0.6867179624817951, + 0.671142112449562, + 0.6655663010786512, + 0.6706873174706076, + 0.686966774039565, + 0.7146171278781109, + 0.7535933486073348, + 0.8035904707708382, + 0.8640471285050394, + 0.9341550270573618, + 1.0128741632249456, + 1.0989534684332491, + 1.1909564173527603, + 1.2872910248691642, + 1.3862435478234651, + 1.4860151178373395, + 1.5847604599515155, + 1.680627800495431, + 1.7717990378434787, + 1.8565292422381252, + 1.9331845658691735, + 2.00027768153682, + 2.056499926597448, + 2.100749407078973, + 2.132154412955454, + 2.150091607248816, + 2.154198576158197, + 2.1443804617702917, + 2.120810539803574, + 2.08392474885352, + 2.034410321228816, + 1.9731888052063868, + 1.901393900990351, + 1.8203446546228241, + 1.7315146626098854, + 1.6364980324737517, + 1.5369729185999397, + 1.4346635068450118, + 1.3313013541305387, + 1.2285869999223864, + 1.128152754875022, + 1.0315275383506852, + 0.940104581884054, + 0.8551127413529266, + 0.7775920685140222, + 0.7083741849845296, + 0.6480678813860633, + 0.5970502342183913, + 0.5554633963323715, + 0.5232170770151069, + 0.49999658814694103, + 0.4852761970854134, + 0.4783373982210813, + 0.47829159669615096, + 0.48410659247965526, + 0.49463616341977645, + 0.5086519742160289, + 0.5248769861926762, + 0.5420195115398474, + 0.5588070460283395, + 0.5740190262678222, + 0.5865176909941109, + 0.5952762797351089, + 0.5994038751049132, + 0.5981662850258124, + 0.5910024660688644, + 0.5775361061580092, + 0.5575821111240741, + 0.5311478718220101, + 0.4984293233911749, + 0.4598019423376894, + 0.4158069570670299, + 0.36713317002069773, + 0.31459490158988895, + 0.25910666467653487, + 0.20165526167070943, + 0.143270060635721, + 0.08499225301259333, + 0.027843920040290973, + -0.027202261276479164, + -0.07925185951159158, + -0.12751530289312385, + -0.17133154997173677, + -0.21018817758273123, + -0.24373734008992595, + -0.27180716127031385, + -0.29440823893330775, + -0.3117350694602584, + -0.324162331679665, + -0.33223610351066885, + -0.3366602172139006, + -0.3382780865241662, + -0.3380504581653185, + -0.3370296482284682, + -0.33633091787446456, + -0.3371017203926753, + -0.34048961081224505, + -0.34760964848038184, + -0.3595121412546156, + -0.3771515766873135, + -0.401357560834496, + -0.43280853965937893, + -0.47200901251150257, + -0.51927086343101, + -0.5746993361006677, + -0.6381840646011468, + -0.7093954475218635, + -0.7877865205241322, + -0.8726003454314858, + -0.9628827957416277, + -1.0575004825596868, + -1.155163434738404, + -1.254452025739194, + -1.3538475304453423, + -1.451765600620605, + -1.5465918703093624, + -1.6367188441938543, + -1.7205831842670378, + -1.7967024941448273, + -1.8637107063950904, + -1.9203912063230755, + -1.9657068751004994, + -1.998826304804953, + -2.0191455261925406, + -2.0263046947436396, + -2.0201992991729107, + -2.0009855863063675, + -1.9690800338491619, + -1.9251528447466795, + -1.8701155801101947, + -1.8051031885365045, + -1.7314508246527744, + -1.650665975556669, + -1.5643965274126015, + -1.4743955030186982, + -1.382483282254149, + -1.290508178956153, + -1.2003062884388094, + -1.1136615385448203, + -1.0322668733445712, + -0.957687472445662, + -0.8913268609764399, + -0.8343966968200317, + -0.787890934264142, + -0.752564959024433, + -0.7289201711331434, + -0.7171943623464521, + -0.7173580966775309, + -0.7291171597703666, + -0.7519209985720586, + -0.7849769306489822, + -0.8272697659803433, + -0.8775863564659772, + -0.9345444727969046, + -0.9966253075521722, + -1.0622088198326027, + -1.1296110724242272, + -1.197122668929126, + -1.2630473765252852, + -1.3257400204991254, + -1.383642759366543, + -1.4353188936465138, + -1.4794834260323522, + -1.5150296741755118, + -1.5410513374515857, + -1.5568595334073263, + -1.561994445236358, + -1.556231355471487, + -1.5395809797894608, + -1.51228415496311, + -1.4748010731018124, + -1.4277953869875093, + -1.3721136352768677, + -1.3087605485594873, + -1.2388708949951899, + -1.1636786051238304, + -1.0844839774963846, + -1.0026198085362006, + -0.9194173105326, + -0.8361726804549791, + -0.7541151594559385, + -0.6743773791469378, + -0.5979687271412846, + -0.5257523826210846, + -0.45842657490132843, + -0.39651050663690984, + -0.3403352612829293, + -0.2900398847734919, + -0.24557269741370308, + -0.20669775707059482, + -0.1730062623067683, + -0.14393255746417585, + -0.11877428406288998, + -0.0967161171892587, + -0.07685643446398555, + -0.05823619098774814, + -0.039869218217457154, + -0.020773129414140976, + -2.0415559552076093e-16 + ], + [ + 0, + 0.024186203357072774, + 0.052011046646416065, + 0.08407234383327387, + 0.12082065183865887, + 0.16254379603289412, + 0.2093559287046636, + 0.26119142756260544, + 0.31780381533806346, + 0.37876975075117925, + 0.44349800879364687, + 0.5112432378259189, + 0.5811241556961488, + 0.6521457301474404, + 0.7232247831668068, + 0.7932183673398161, + 0.8609541870558822, + 0.925262280498821, + 0.9850071412363993, + 1.0391194418771104, + 1.0866265271580835, + 1.12668086989836, + 1.158585729898902, + 1.1818173219798584, + 1.196042883312145, + 1.2011341299694, + 1.197175705743142, + 1.184468349934995, + 1.1635266420016865, + 1.1350713163241033, + 1.1000162766308954, + 1.0594505733307789, + 1.014615734852002, + 0.9668789628474037, + 0.9177028078126594, + 0.8686120335904529, + 0.8211584540618805, + 0.776884581144622, + 0.7372869585790365, + 0.7037800699454934, + 0.6776617015042373, + 0.6600806109069046, + 0.6520073022572522, + 0.6542086375793909, + 0.667226926159159, + 0.6913640285841294, + 0.7266708941459263, + 0.772942821448661, + 0.8297205957204868, + 0.8962975157732911, + 0.9717321822287855, + 1.0548667799824256, + 1.1443504553035688, + 1.238667264719939, + 1.336168061931348, + 1.4351055931661845, + 1.5336719929923208, + 1.6300378135544331, + 1.722391681991822, + 1.8089796643450908, + 1.8881434200040843, + 1.9583562585575593, + 2.0182562601112517, + 2.066675689555083, + 2.1026660231972967, + 2.125518010504912, + 2.134776311856649, + 2.130248382348795, + 2.1120074086510505, + 2.0803892473529007, + 2.0359834557280663, + 1.9796186459083893, + 1.9123425276944823, + 1.835397130379484, + 1.7501898069913868, + 1.6582607225355552, + 1.561247608776995, + 1.4608486299012924, + 1.3587842445665972, + 1.256758969447318, + 1.1564239469459692, + 1.0593411954264278, + 0.9669503747520725, + 0.8805388342687803, + 0.8012156263208481, + 0.7298900680424851, + 0.6672553200408371, + 0.6137773255254291, + 0.5696893205538508, + 0.5349919886516932, + 0.5094591945276125, + 0.4926490953640033, + 0.48392029757747124, + 0.48245260522099975, + 0.4872717963243062, + 0.49727776812282515, + 0.5112753136247717, + 0.5280067322020472, + 0.546185437286562, + 0.5645297057267062, + 0.5817957163001589, + 0.5968090491446241, + 0.6084938627817602, + 0.6158990297821967, + 0.6182205942787405, + 0.6148200123670425, + 0.6052377474372854, + 0.5892019138309327, + 0.5666317908337491, + 0.5376361616439497, + 0.5025065652412655, + 0.4617056796664691, + 0.4158511798118606, + 0.36569552828698115, + 0.31210226135913255, + 0.256019420779759, + 0.19845085427058146, + 0.14042616075847195, + 0.08297008978741646, + 0.02707221707505287, + -0.026342290379980347, + -0.07644003566376968, + -0.12250414535201111, + -0.16395574891071424, + -0.2003716035502068, + -0.23149738443150683, + -0.2572562729602156, + -0.27775259827451365, + -0.2932704158400391, + -0.30426703904106966, + -0.3113616714584461, + -0.3153194158057591, + -0.3170310569980526, + -0.31748912846072225, + -0.31776086970440565, + -0.31895876686519076, + -0.32220943418904496, + -0.32862164161013946, + -0.33925432039733944, + -0.35508538459339617, + -0.37698219044695186, + -0.40567441957150274, + -0.4417301150168732, + -0.48553552417145857, + -0.5372793102628989, + -0.5969415874527487, + -0.6642881157594652, + -0.7388698642310069, + -0.8200280170939785, + -0.9069043613541429, + -0.9984568589087303, + -1.0934800750361977, + -1.1906300114386066, + -1.2884527789310425, + -1.3854164452502384, + -1.479945309811472, + -1.5704557917090567, + -1.6553930715161065, + -1.7332676026927711, + -1.8026906053392475, + -1.8624076737768296, + -1.9113296696132758, + -1.9485601326241158, + -1.9734185215266689, + -1.9854586936325263, + -1.984482144104286, + -1.9705456494101292, + -1.9439630925589564, + -1.9053013865727553, + -1.8553705540252123, + -1.7952081608929675, + -1.7260584389936027, + -1.6493465595907115, + -1.566648638184611, + -1.4796581541945208, + -1.3901495566245246, + -1.2999398957401709, + -1.2108493695632787, + -1.1246617014108833, + -1.0430852700741258, + -0.9677158974077193, + -0.9000021594777046, + -0.8412140279250622, + -0.7924155692879632, + -0.7544423336028737, + -0.7278839520212058, + -0.7130723391500836, + -0.7100757623741087, + -0.718698900789984, + -0.7384888739873658, + -0.7687470792031068, + -0.8085465378083969, + -0.8567543220013976, + -0.9120585131274508, + -0.9729990371268752, + -1.0380016327735828, + -1.1054141367757262, + -1.1735442181714961, + -1.2406976639858434, + -1.3052163095128135, + -1.3655147200105113, + -1.420114765657503, + -1.4676772874048916, + -1.5070301264438755, + -1.5371918824984834, + -1.5573908737262936, + -1.5670788909783475, + -1.5659394685455494, + -1.553890529088349, + -1.5310813988499978, + -1.497884327068586, + -1.4548807773293149, + -1.4028428851420427, + -1.3427105921842217, + -1.275565070574349, + -1.2025991377292056, + -1.1250854316990913, + -1.0443431667065008, + -0.9617043177617332, + -0.8784800910375791, + -0.7959285230305767, + -0.7152240168300121, + -0.6374295689934408, + -0.5634723670240064, + -0.49412334715983325, + -0.42998119743322405, + -0.37146117440955567, + -0.31878897663430483, + -0.27199978677955283, + -0.23094246110276237, + -0.19528871247769297, + -0.16454700526684998, + -0.13808075989862983, + -0.11513035521785674, + -0.09483832025242449, + -0.07627702639912659, + -0.05847812819651228, + -0.040462957390321075, + -0.021273051987301846, + -2.1054818888701384e-16 + ], + [ + 0, + 0.025121176819867894, + 0.054127350938447706, + 0.08753567389017637, + 0.12570927474070545, + 0.16884443286488401, + 0.2169624102273268, + 0.2699061759006424, + 0.32734212806353674, + 0.38876678835530604, + 0.45351831353095395, + 0.5207925431599493, + 0.5896631828477467, + 0.6591056131672001, + 0.7280237179535282, + 0.7952790443103006, + 0.8597215426837791, + 0.9202210903449848, + 0.9756989767547437, + 1.0251585252537831, + 1.0677140424728404, + 1.1026173244253437, + 1.1292810055383655, + 1.1472981125109425, + 1.156457277014858, + 1.1567531676074894, + 1.1483918191842601, + 1.1317906649390794, + 1.1075732079809075, + 1.0765584041840937, + 1.0397449611768368, + 0.9982908872632362, + 0.9534887453002064, + 0.9067371770646957, + 0.8595093606623125, + 0.8133191445879193, + 0.7696856650851093, + 0.7300972968402639, + 0.6959758096475258, + 0.668641604865352, + 0.6492808851542815, + 0.6389155695722987, + 0.6383767045640483, + 0.648282041167873, + 0.669018351798953, + 0.7007289485835986, + 0.7433067421149265, + 0.7963930476634228, + 0.8593822085172811, + 0.9314319665982852, + 1.0114793722094397, + 1.098261891105349, + 1.190343241311553, + 1.286143377340753, + 1.3839719384827542, + 1.4820643931655635, + 1.578620045085221, + 1.6718410205205962, + 1.7599713311361316, + 1.8413351032621263, + 1.914373083226648, + 1.977676568357321, + 2.030017973811186, + 2.0703773249605737, + 2.097964061730477, + 2.112233652697617, + 2.1128986402119185, + 2.0999338702819443, + 2.0735757992515516, + 2.034315910019253, + 1.9828884102905722, + 1.9202525207090855, + 1.8475697883963536, + 1.7661769783472403, + 1.6775551984452926, + 1.5832960010888881, + 1.4850652734564702, + 1.3845657776407192, + 1.2834992300882146, + 1.183528816351287, + 1.086243021982989, + 0.9931216239091482, + 0.905504629741889, + 0.8245648767041144, + 0.7512849090249349, + 0.6864386451676764, + 0.630578226747823, + 0.5840263124616814, + 0.5468739459675158, + 0.5189839897670921, + 0.4999999811090065, + 0.4893601341293841, + 0.4863160881018473, + 0.4899558878364555, + 0.4992305817285648, + 0.5129837381593195, + 0.5299831139396721, + 0.5489536608729562, + 0.5686110294050075, + 0.587694722341118, + 0.6050000668140397, + 0.6194082086373283, + 0.6299133889078401, + 0.6356468367730965, + 0.6358967027423154, + 0.6301235614765706, + 0.6179711289788958, + 0.5992719635730305, + 0.5740480498571883, + 0.542506296665803, + 0.5050291106410616, + 0.46216033301778253, + 0.4145869454900094, + 0.363117058584503, + 0.30865479011679414, + 0.25217271969143723, + 0.19468266587049762, + 0.13720557406141928, + 0.08074132434124458, + 0.02623926882312715, + -0.02542971220881462, + -0.07349888678785015, + -0.11732839158260423, + -0.15642438473896506, + -0.19045411313222124, + -0.2192564824468171, + -0.24284783566999132, + -0.26142277042218676, + -0.2753499548870743, + -0.2851630326677864, + -0.291546835371248, + -0.29531924484706795, + -0.29740916165107967, + -0.2988311395465524, + -0.3006573350622689, + -0.3039874940102204, + -0.30991775154811496, + -0.31950905742991054, + -0.3337560525887417, + -0.353557216723446, + -0.3796870792207937, + -0.41277123817263245, + -0.4532648655811971, + -0.5014352927082862, + -0.557349169977084, + -0.6208645833312944, + -0.6916283862764819, + -0.769078877014544, + -0.852453816361048, + -0.9408036478375894, + -1.0330096498108001, + -1.1278066240974869, + -1.2238096092195538, + -1.3195440023985696, + -1.413478385058641, + -1.5040592743269565, + -1.589746969635785, + -1.6690516304242557, + -1.7405687090007222, + -1.8030128722212826, + -1.855249576599926, + -1.8963235130942417, + -1.9254832088992566, + -1.942201162438666, + -1.9461889922336228, + -1.9374071979309264, + -1.9160692596330453, + -1.882639936682678, + -1.8378277659235667, + -1.782571898795904, + -1.718023553020868, + -1.6455224847439534, + -1.5665690076498502, + -1.4827921937699151, + -1.3959149838164944, + -1.307717010602401, + -1.2199959955703505, + -1.1345286142668782, + -1.0530317408550791, + -0.9771249741042578, + -0.908295317892822, + -0.8478648388168677, + -0.7969620532292082, + -0.7564977076468846, + -0.7271455121067031, + -0.7093282682575399, + -0.7032097056218305, + -0.7086922036621576, + -0.7254204373581551, + -0.7527908433397514, + -0.789966665656511, + -0.8358982083426197, + -0.8893477992651594, + -0.9489188592923506, + -1.0130883752588338, + -1.0802419968387416, + -1.148710918142126, + -1.2168096660338144, + -1.2828738997387532, + -1.345297330621177, + -1.4025668969480436, + -1.4532953752815883, + -1.496250676689495, + -1.530381160529909, + -1.5548363990375937, + -1.568982939794594, + -1.572414737576651, + -1.5649580589343048, + -1.5466707989258235, + -1.5178362863027486, + -1.478951787779591, + -1.4307120504894864, + -1.3739883411821283, + -1.3098035482345618, + -1.2393040054971318, + -1.1637287731312194, + -1.0843771680800829, + -1.0025753742841756, + -0.9196429793434096, + -0.8368602796984372, + -0.7554371707368875, + -0.6764843922389039, + -0.6009878344745487, + -0.5297865277427699, + -0.46355484031931316, + -0.40278929915779194, + -0.34780032707890585, + -0.2987090626462248, + -0.25544929769014774, + -0.21777443581879025, + -0.18526924656378427, + -0.1573660672903468, + -0.13336499173429897, + -0.11245748285776981, + -0.09375276117609377, + -0.07630624996647203, + -0.05914930756495513, + -0.04131944556513259, + -0.021890220922771993, + -2.1788127918481135e-16 + ], + [ + 0, + 0.0261235309587004, + 0.056337550894920436, + 0.0910758088407067, + 0.13061280139603706, + 0.17505363907960178, + 0.22432865425573487, + 0.27819290888244325, + 0.3362306324946833, + 0.39786449205449326, + 0.46236946883320734, + 0.5288909965525956, + 0.596466902676506, + 0.6640525938738223, + 0.7305488398429305, + 0.7948314391227592, + 0.8557819980346678, + 0.9123190208696236, + 0.9634284967358316, + 1.0081931764834842, + 1.0458197616765244, + 1.0756632760211395, + 1.0972479568219176, + 1.110284088282531, + 1.1146802977304013, + 1.1105509476760356, + 1.0982183782497839, + 1.0782098829731959, + 1.0512494328241702, + 1.0182442958535731, + 0.9802668288999529, + 0.9385318409899702, + 0.8943700417151406, + 0.8491981893757294, + 0.8044866404124957, + 0.7617250713999384, + 0.7223871958611501, + 0.6878953290560611, + 0.6595856638593128, + 0.6386751095651693, + 0.6262305131443787, + 0.6231410298621269, + 0.6300943384812874, + 0.6475573072289137, + 0.6757616124363526, + 0.7146946947943308, + 0.7640963113317093, + 0.8234608076164694, + 0.8920450975483286, + 0.968882200814842, + 1.0528000539769378, + 1.1424451835223053, + 1.236310711208168, + 1.3327680565088516, + 1.4301016105852116, + 1.526545583131202, + 1.6203221695337013, + 1.709680152343553, + 1.7929330389359102, + 1.8684958467520247, + 1.934919678448354, + 1.9909232808933053, + 2.035420853001509, + 2.067545456158317, + 2.0866674853076352, + 2.092407776117594, + 2.084645051145887, + 2.0635175424964927, + 2.0294187668167205, + 1.982987567261566, + 1.9250926728762094, + 1.8568121554166315, + 1.779408283798117, + 1.6942983842199362, + 1.6030224069545622, + 1.507207976572472, + 1.4085337591833484, + 1.3086920167633573, + 1.209351233958572, + 1.1121196965797517, + 1.018510873535208, + 0.9299114059105085, + 0.8475524395252735, + 0.772484952280049, + 0.7055596270833808, + 0.6474117076311884, + 0.5984511506230968, + 0.558858257214196, + 0.5285848318548919, + 0.5073607814939013, + 0.494705935743323, + 0.48994674228703916, + 0.4922373746541084, + 0.5005846843432367, + 0.5138763387343972, + 0.5309114124532434, + 0.5504326446358596, + 0.5711595391835889, + 0.5918214704115894, + 0.6111899627761556, + 0.62810934038757, + 0.641524989034516, + 0.6505085392230194, + 0.6542793615624314, + 0.6522218635860512, + 0.6438981872787871, + 0.6290560263974883, + 0.6076314090741141, + 0.5797464209914258, + 0.5457019743395307, + 0.505965854526122, + 0.4611563970345936, + 0.4120222578773124, + 0.35941883999062857, + 0.3042820221869798, + 0.24759990481159766, + 0.19038333536404528, + 0.1336360068198974, + 0.07832493050267063, + 0.02535207390068734, + -0.024472077893848726, + -0.07045232960720582, + -0.11202931384831717, + -0.14879620726324666, + -0.18051117209105136, + -0.2071051819550826, + -0.22868501107830597, + -0.24553129224559145, + -0.25809167755148904, + -0.26696926400343324, + -0.272906570147622, + -0.2767654668945448, + -0.2795035726657111, + -0.2821477171354833, + -0.28576515679390535, + -0.29143328727963175, + -0.30020864032862904, + -0.3130959761276021, + -0.3310182842241199, + -0.3547884878171981, + -0.3850836076409154, + -0.42242208367748657, + -0.46714487700030416, + -0.5194008820099679, + -0.5791370734522143, + -0.6460936955119949, + -0.7198046748649999, + -0.7996033089526936, + -0.8846331481829237, + -0.9738638595538179, + -1.066111732636776, + -1.1600643701088735, + -1.254308997082685, + -1.3473637290671567, + -1.4377110599012726, + -1.5238327704371837, + -1.6042454176753211, + -1.6775355435541361, + -1.7423937432482484, + -1.7976467546838804, + -1.842286773568531, + -1.8754972605673446, + -1.896674587866459, + -1.905444969313649, + -1.901676229281805, + -1.8854840876742174, + -1.8572327691109507, + -1.8175298801208357, + -1.7672156357988933, + -1.7073466535087112, + -1.639174662479649, + -1.564120601350344, + -1.4837446878173493, + -1.3997131428034337, + -1.3137623335443724, + -1.227661163681359, + -1.1431725822622418, + -1.0620151064067576, + -0.9858252537008768, + -0.9161217601022797, + -0.8542724177408878, + -0.8014643054807654, + -0.758678104960563, + -0.7266670979942492, + -0.7059413300449144, + -0.6967573016866919, + -0.6991134185313221, + -0.7127512932159447, + -0.7371628540583971, + -0.771603077266867, + -0.8151080264901436, + -0.8665177582456257, + -0.924503537402184, + -0.9875987061919524, + -1.0542324656098772, + -1.1227657615655695, + -1.1915284213654118, + -1.2588566601251907, + -1.3231300721334576, + -1.382807239066276, + -1.4364591248303729, + -1.482799484704677, + -1.5207115928894392, + -1.5492706856342884, + -1.5677616244727526, + -1.5756914030642166, + -1.5727962487778546, + -1.5590432032819803, + -1.5346262017327046, + -1.499956804346988, + -1.4556498638916857, + -1.4025045347339145, + -1.3414811405868539, + -1.2736745162270264, + -1.2002845208687765, + -1.122584485569785, + -1.0418884024629524, + -0.9595176887018064, + -0.8767683622135642, + -0.7948794496420216, + -0.7150034097176671, + -0.6381792987097457, + -0.5653093300715503, + -0.4971393898077714, + -0.4342439647906087, + -0.3770158258858734, + -0.3256606842503832, + -0.2801969106537049, + -0.24046027740720854, + -0.2061135537363218, + -0.17666066144887477, + -0.1514649816505927, + -0.12977129795229705, + -0.11073076974177526, + -0.09342825295500176, + -0.07691122727697319, + -0.06021954928674052, + -0.04241523170782139, + -0.02261145010178457, + -2.2602056356953833e-16 + ], + [ + 0, + 0.027177453315198392, + 0.05860904872038216, + 0.09464325280137391, + 0.13546559823924587, + 0.18109126335206496, + 0.23136243111360533, + 0.2859505119466705, + 0.34436318756183715, + 0.4059561070132115, + 0.4699489441727669, + 0.5354454110838065, + 0.601456717062221, + 0.6669278716388213, + 0.7307661528245066, + 0.7918710027008766, + 0.8491645715320477, + 0.9016221105313693, + 0.9483014126771524, + 0.9883705206224439, + 1.0211329603413668, + 1.0460498177532682, + 1.0627580517421567, + 1.0710845288756803, + 1.07105537046083, + 1.0629003187472126, + 1.0470519532208395, + 1.0241397169347841, + 0.9949788434819709, + 0.9605544042657689, + 0.9220008199347327, + 0.8805772961008826, + 0.83763974882969, + 0.7946098772120247, + 0.7529421162722308, + 0.7140892615900167, + 0.6794675958131624, + 0.6504223656852288, + 0.6281944557824282, + 0.613889081837346, + 0.6084472828325805, + 0.6126209279880649, + 0.6269518738364696, + 0.6517558097208687, + 0.6871112195943632, + 0.7328537666292048, + 0.7885762778040898, + 0.8536343714853604, + 0.9271576353276701, + 1.0080661279123806, + 1.09509184869916, + 1.1868047002499647, + 1.2816423572593425, + 1.377943361384031, + 1.4739826815643946, + 1.5680089184302197, + 1.658282289999508, + 1.743112515244868, + 1.8208957127436813, + 1.8901494535503531, + 1.9495451501151837, + 1.9979370254994295, + 2.0343869877910437, + 2.0581848315545663, + 2.068863298997344, + 2.0662076556074442, + 2.0502595653466, + 2.021315185893073, + 1.9799175416298394, + 1.9268433677260508, + 1.8630847494669858, + 1.7898260037732066, + 1.7084163616358348, + 1.6203391082761276, + 1.527177919846766, + 1.4305811994587667, + 1.332225259715675, + 1.233777222721488, + 1.1368585111636407, + 1.043009785540113, + 0.953658143403099, + 0.8700873376399256, + 0.7934116937961913, + 0.7245543132009457, + 0.6642300415099653, + 0.6129335639089543, + 0.5709328615534923, + 0.5382681320047804, + 0.5147561427081082, + 0.49999985425295185, + 0.4934030225059258, + 0.4941893688546031, + 0.501425798675541, + 0.5140490524056924, + 0.5308950935768083, + 0.5507304757966828, + 0.5722848874161591, + 0.5942840495152869, + 0.6154821403816828, + 0.634692937830414, + 0.6508189090051236, + 0.6628775346826646, + 0.6700242300824196, + 0.6715713148251933, + 0.6670025886767383, + 0.6559831844002121, + 0.6383644915210247, + 0.6141840719776743, + 0.5836606172829675, + 0.5471841237095009, + 0.5053015839491903, + 0.45869860761592207, + 0.4081774860057733, + 0.35463230612055185, + 0.29902179285860225, + 0.24234061464005702, + 0.1855899251630939, + 0.12974793156171383, + 0.07574127653329159, + 0.02441799911523603, + -0.023477203687565378, + -0.06732475319821637, + -0.10664841997668331, + -0.1411295189076755, + -0.17061668350715947, + -0.195130949882959, + -0.21486600317508353, + -0.2301835655816058, + -0.24160403204247616, + -0.24979258408404803, + -0.25554113106076326, + -0.25974653804788556, + -0.2633856981378396, + -0.26748809135736784, + -0.2731065406885199, + -0.28128692598375754, + -0.2930376476037356, + -0.30929964254793785, + -0.3309177463693098, + -0.35861416445286187, + -0.3929647669916198, + -0.43437885439949186, + -0.4830829556099799, + -0.5391091227943565, + -0.6022880749353731, + -0.672247422165151, + -0.7484150758128099, + -0.8300278188695949, + -0.9161448813172439, + -1.005666237736417, + -1.0973552240010391, + -1.1898649587029515, + -1.2817679560426545, + -1.37158823277102, + -1.4578351445171898, + -1.5390381382178895, + -1.6137815786431944, + -1.680738798971982, + -1.738704538275477, + -1.786624962368848, + -1.8236245180257893, + -1.849028942761441, + -1.8623838415528398, + -1.8634683458387702, + -1.8523034864080592, + -1.829155037524747, + -1.7945307217886772, + -1.7491718005664834, + -1.6940392100417176, + -1.6302945347131748, + -1.559276235285233, + -1.4824716632706967, + -1.4014854974274404, + -1.3180053248423211, + -1.2337651598951553, + -1.150507745737984, + -1.0699465140324942, + -0.993728088718607, + -0.9233962082739007, + -0.8603579085232075, + -0.8058527553435669, + -0.7609258448528919, + -0.7264051996086534, + -0.7028840851377494, + -0.6907086543025829, + -0.689971200422924, + -0.7005091667979904, + -0.721909923551384, + -0.7535211858790447, + -0.7944668141446563, + -0.8436676090847167, + -0.899866597743464, + -0.9616582005062219, + -1.0275205792826645, + -1.0958503936847874, + -1.1649991377014313, + -1.23331019518123, + -1.2991557391918929, + -1.3609726083034686, + -1.4172963218032688, + -1.4667924450318026, + -1.5082845841786061, + -1.5407783752756248, + -1.5634809326347017, + -1.5758153350874124, + -1.5774298512873008, + -1.5682017349780588, + -1.5482355543084414, + -1.5178561526968235, + -1.4775964691279229, + -1.4281805698961638, + -1.370502358650976, + -1.3056005343422106, + -1.2346304548083327, + -1.1588336351625617, + -1.0795056630996087, + -0.9979633465164203, + -0.9155119216548463, + -0.833413142083149, + -0.7528550405034449, + -0.6749241073778309, + -0.6005805639703359, + -0.5306373243240912, + -0.4657431430645106, + -0.40637033623108054, + -0.3528073433790568, + -0.30515627397189804, + -0.26333545276982967, + -0.22708685074599566, + -0.195988163256454, + -0.16946917889105337, + -0.14683197360870773, + -0.127274368139779, + -0.10991600463748245, + -0.09382633322611533, + -0.07805375205207934, + -0.0616551168577999, + -0.043724828642099256, + -0.023422720809460437, + -2.3482584682386724e-16 + ], + [ + 0, + 0.0282668823288952, + 0.060909188117895294, + 0.09818908267346886, + 0.1402036616505419, + 0.18688023709166843, + 0.23797639738896442, + 0.2930848527527146, + 0.3516429526540648, + 0.41294663934107007, + 0.4761684850161971, + 0.5403793525724185, + 0.6045731236577035, + 0.6676938557287984, + 0.7286646637691053, + 0.7864175741832694, + 0.839923569297596, + 0.8882220316673397, + 0.9304488082980028, + 0.9658621457013673, + 0.9938657967010891, + 1.0140286678676629, + 1.0261004607357904, + 1.0300228584640816, + 1.0259359199022853, + 1.014179462399377, + 0.9952893401487592, + 0.969988653297942, + 0.9391740512417271, + 0.9038974182614229, + 0.8653433478382276, + 0.8248029205837235, + 0.7836443970527855, + 0.7432815182922534, + 0.7051401717514691, + 0.6706242264704969, + 0.6410813680561827, + 0.6177697701286954, + 0.6018264244504868, + 0.5942379171252198, + 0.595814383870539, + 0.60716730470561, + 0.6286917091869488, + 0.6605532597214147, + 0.7026805649904364, + 0.7547629509400169, + 0.8162537861615785, + 0.8863793249987569, + 0.9641528986302978, + 1.0483941549603382, + 1.1377529255706151, + 1.2307371852671767, + 1.3257444696618796, + 1.4210960312343932, + 1.5150729465245623, + 1.6059533381886202, + 1.6920498468355887, + 1.7717464795702975, + 1.8435339752246946, + 1.9060428600620933, + 1.9580734214836446, + 1.9986218996579013, + 2.0269022862809445, + 2.042363223690147, + 2.0446996137723987, + 2.033858671701821, + 2.0100402914577886, + 1.973691725102335, + 1.9254967126526281, + 1.8663593307904807, + 1.7973829534145533, + 1.7198448321343314, + 1.6351669074397064, + 1.5448835489751884, + 1.4506069939909796, + 1.3539913049422188, + 1.2566956991318952, + 1.1603481145030305, + 1.0665098659517118, + 0.9766422161386991, + 0.8920756345149814, + 0.8139824494235638, + 0.7433535124290273, + 0.6809793936018673, + 0.6274365138488048, + 0.5830784983311044, + 0.5480329065748666, + 0.5222033632260408, + 0.5052769817867017, + 0.49673684532860296, + 0.4958791862674767, + 0.5018347947837212, + 0.5135940851389716, + 0.5300351634033321, + 0.5499541710471928, + 0.572097128118879, + 0.5951924685206632, + 0.6179834489191667, + 0.6392596222857008, + 0.6578865966530355, + 0.6728333485920739, + 0.6831964278704512, + 0.688220473023516, + 0.6873145550117266, + 0.6800639752732328, + 0.6662372625350038, + 0.6457882367319268, + 0.6188531351693529, + 0.5857429224550859, + 0.5469310285416309, + 0.5030368753735439, + 0.45480565921471305, + 0.40308495006773865, + 0.3487987493348435, + 0.29291971001921396, + 0.23644026875887963, + 0.18034346471211538, + 0.12557422614914512, + 0.07301189142635867, + 0.023444697206563506, + -0.02245308578351541, + -0.06414075915260138, + -0.10122702070910179, + -0.13348158016257533, + -0.16084225103317812, + -0.18341732128011728, + -0.2014831284446639, + -0.21547689040407256, + -0.22598496696981502, + -0.23372684738454996, + -0.23953527123179008, + -0.2443329925079182, + -0.24910678601076133, + -0.2548793694855724, + -0.2626799722291805, + -0.2735143196037014, + -0.288334822133461, + -0.3080117570232828, + -0.33330620901680824, + -0.3648454969883302, + -0.4031017535019776, + -0.44837424821862304, + -0.5007759543579131, + -0.560224752692377, + -0.6264395523560469, + -0.6989414849520971, + -0.7770602010996684, + -0.8599451698460021, + -0.9465817545049113, + -1.0358117166451528, + -1.1263576862036502, + -1.2168510329048579, + -1.3058624849287375, + -1.3919347673544764, + -1.4736164771954299, + -1.5494963752773896, + -1.6182372587699236, + -1.678608582334242, + -1.7295170205672366, + -1.7700342091560644, + -1.7994209658707891, + -1.8171473737019934, + -1.8229082051491112, + -1.816633276549059, + -1.798492441739126, + -1.7688950623440176, + -1.7284839244424817, + -1.678123705066834, + -1.6188842236453207, + -1.5520188398842985, + -1.4789384776005046, + -1.4011818607506668, + -1.3203826407366468, + -1.2382341706974602, + -1.1564527410385992, + -1.0767401294385277, + -1.0007463370359178, + -0.9300333799640842, + -0.8660409819013419, + -0.8100549694009027, + -0.763179108505134, + -0.7263110400645844, + -0.7001228742369414, + -0.68504689418908, + -0.6812666977506444, + -0.6887139766200077, + -0.7070709988443014, + -0.7357787249413439, + -0.7740503544941324, + -0.820889971573703, + -0.8751158370529644, + -0.9353877666798367, + -1.0002379383252589, + -1.0681043924140765, + -1.1373664280928621, + -1.2063810556539531, + -1.273519644107543, + -1.337203902059713, + -1.3959403501862935, + -1.4483524840511126, + -1.493209885764443, + -1.5294536205035005, + -1.5562173472767222, + -1.5728436801771168, + -1.5788954540785918, + -1.5741616743626683, + -1.5586580607114557, + -1.5326222270444863, + -1.4965036700572478, + -1.4509488643317934, + -1.3967818795554547, + -1.3349810421268533, + -1.2666522567475524, + -1.1929996812299895, + -1.1152945078284253, + -1.034842645490291, + -0.9529521185756463, + -0.8709009983449765, + -0.7899066639209095, + -0.7110971500447547, + -0.6354852808218118, + -0.5639462132934622, + -0.4971989240284487, + -0.43579206830674005, + -0.38009452751347556, + -0.33029083895602745, + -0.2863815765342299, + -0.24818862370537645, + -0.215365155189734, + -0.18741002400151605, + -0.16368613867289694, + -0.14344231476461786, + -0.12583799744674076, + -0.10997018026662995, + -0.09490179098182068, + -0.07969077986662726, + -0.06341913007313912, + -0.045221013814867254, + -0.024309342215845638, + -2.4415260447965187e-16 + ], + [ + 0, + 0.029375679816000942, + 0.0632055972336888, + 0.10166545055369093, + 0.1447652601459985, + 0.19234732860770726, + 0.24408892697399212, + 0.29950964774972283, + 0.3579832433834245, + 0.41875365115413926, + 0.48095479527570834, + 0.5436336571461489, + 0.6057760176292661, + 0.6663342032777175, + 0.7242561133407701, + 0.778514767671872, + 0.8281375982272265, + 0.872234709209001, + 0.9100253530411879, + 0.9408619107611793, + 0.9642507250700967, + 0.9798692107538824, + 0.9875787585849414, + 0.9874330528827249, + 0.9796815370712119, + 0.9647678829840962, + 0.943323445309518, + 0.9161558092982773, + 0.884232664511352, + 0.8486613568279435, + 0.810664582170958, + 0.7715527856272903, + 0.7326939163082586, + 0.6954812592052703, + 0.6613001186285251, + 0.6314941621862373, + 0.6073322487504201, + 0.5899765580358174, + 0.5804528133671785, + 0.5796233435041293, + 0.5881636650980231, + 0.6065431859991487, + 0.63501053316854, + 0.6735838997067392, + 0.7220466861428296, + 0.7799485845366162, + 0.8466121232243206, + 0.9211445583804222, + 1.0024548692007929, + 1.0892754896096164, + 1.1801882939999506, + 1.2736542504757076, + 1.3680460649371544, + 1.4616830653698225, + 1.552867519692026, + 1.6399215438834505, + 1.7212237407775068, + 1.7952447142775856, + 1.8605806287686362, + 1.915984028551732, + 1.9603911961500597, + 1.9929454097747001, + 2.013015557125139, + 2.020209672681424, + 2.0143830860501035, + 1.9956409968272144, + 1.964335423727975, + 1.9210566091872334, + 1.8666190920121737, + 1.8020427867767141, + 1.728529526423521, + 1.6474356311286529, + 1.5602411593059473, + 1.4685165734429322, + 1.3738876124215373, + 1.2779992016787964, + 1.1824792520725476, + 1.0889031971987548, + 0.9987600972310229, + 0.9134210956941378, + 0.8341109550069176, + 0.7618833186628939, + 0.6976002545132238, + 0.6419165271032026, + 0.5952689300389457, + 0.5578708848235444, + 0.5297123835822194, + 0.5105652227778723, + 0.49999334661134537, + 0.4973679954601868, + 0.5018872394590614, + 0.5125993729809074, + 0.5284295548811135, + 0.5482090041193205, + 0.5707060025841784, + 0.5946579179878019, + 0.6188034404706745, + 0.641914227474239, + 0.6628251724057433, + 0.6804625530482429, + 0.6938693744847683, + 0.7022272969811013, + 0.7048746298607866, + 0.7013199755955474, + 0.6912512215012043, + 0.6745396967063688, + 0.6512394364097491, + 0.621581620726562, + 0.5859643784926376, + 0.5449382641545151, + 0.4991878253717543, + 0.4495097774521721, + 0.39678838577035896, + 0.34196872676484047, + 0.28602855024390056, + 0.22994949926583313, + 0.1746884579768208, + 0.12114979215829517, + 0.07015922202259983, + 0.022440022660624094, + -0.02140781437650053, + -0.0609249030043881, + -0.09580580502145643, + -0.12590803419651134, + -0.15125647663007866, + -0.17204310174998694, + -0.18862196135924578, + -0.20149959738796677, + -0.21132109928217588, + -0.21885216623490733, + -0.22495763482256084, + -0.2305770263680615, + -0.2366977481176571, + -0.2443266460459845, + -0.2544606531514575, + -0.26805730427123, + -0.28600589600530385, + -0.3091000580581519, + -0.338012470447125, + -0.37327241034570746, + -0.41524674405597983, + -0.46412489541173274, + -0.5199082238769639, + -0.5824041361505502, + -0.6512251369338532, + -0.7257929006044279, + -0.8053473189567356, + -0.8889603540835681, + -0.9755544030388451, + -1.0639247652174317, + -1.1527656973245064, + -1.2406994470653436, + -1.3263075776452014, + -1.4081638328469757, + -1.4848677484588226, + -1.5550781913107758, + -1.6175460028233533, + -1.671144939947928, + -1.714900142361049, + -1.7480134099385747, + -1.769884647580007, + -1.7801289236328943, + -1.7785886913335252, + -1.7653408373349615, + -1.7406983447501836, + -1.705206487189874, + -1.6596336018682518, + -1.6049566207654853, + -1.5423416658613047, + -1.4731201344723108, + -1.398760810782823, + -1.3208386370445568, + -1.2410008602300133, + -1.160931335121063, + -1.0823138112791688, + -1.0067950579147833, + -0.935948686676783, + -0.871240517646787, + -0.8139962986852463, + -0.765372533573444, + -0.7263311014448978, + -0.6976182605655771, + -0.6797485257732043, + -0.672993793341434, + -0.6773779625029218, + -0.6926771723748939, + -0.7184256397552616, + -0.7539269504378187, + -0.7982705275602309, + -0.8503528781854195, + -0.908903106793359, + -0.9725120843527647, + -1.039664576567776, + -1.1087735668029977, + -1.1782159597123965, + -1.2463688219063038, + -1.3116453067726426, + -1.3725294220069328, + -1.427608830176507, + -1.475604923925428, + -1.5153994869172713, + -1.546057337567868, + -1.5668444528916334, + -1.5772411818777434, + -1.576950278944557, + -1.5658996151929827, + -1.5442395552504216, + -1.5123351172597126, + -1.4707531598297319, + -1.4202449594271167, + -1.361724651822733, + -1.296244109125247, + -1.2249649072586308, + -1.1491281054592046, + -1.0700226078848822, + -0.9889529066043459, + -0.9072070144090593, + -0.8260253849066647, + -0.7465715865523364, + -0.6699054474895777, + -0.5969593206082411, + -0.5285180348281366, + -0.46520300141768683, + -0.40746083563424584, + -0.3555567368802237, + -0.3095727478687458, + -0.2694108880814807, + -0.23480103223297696, + -0.2053132836625748, + -0.18037447858879913, + -0.15928835283836873, + -0.14125881061244946, + -0.12541565737413551, + -0.11084209796222387, + -0.09660325806889718, + -0.0817749633203003, + -0.0654720059457957, + -0.04687514449587676, + -0.025256116855658435, + -2.538535710188768e-16 + ], + [ + 0, + 0.030487801917073284, + 0.0654665238935023, + 0.10502606782160806, + 0.14909154356190296, + 0.19742384603916116, + 0.24962486974923467, + 0.3051472331548618, + 0.36330826727863136, + 0.4233079107825805, + 0.4842500508057811, + 0.5451667574381299, + 0.6050447822740778, + 0.6628536299985922, + 0.7175744679942853, + 0.7682291136691101, + 0.8139083332657572, + 0.8537986995185464, + 0.887207288371947, + 0.9135835462836653, + 0.9325377281563886, + 0.9438553899935619, + 0.947507517881089, + 0.9436559834425569, + 0.9326541328030798, + 0.9150424384145356, + 0.8915392677892048, + 0.8630269471402967, + 0.8305334180288488, + 0.7952098983487556, + 0.7583050624916184, + 0.7211363467029732, + 0.685059062155135, + 0.651434058162803, + 0.6215947197079023, + 0.5968141059199937, + 0.5782730387540311, + 0.5670299336863117, + 0.5639931271765622, + 0.5698963997712413, + 0.5852783203699832, + 0.6104659480986405, + 0.6455633255762124, + 0.690445083616682, + 0.7447553553368511, + 0.807912070225037, + 0.8791165690777237, + 0.9573683520075118, + 1.041484647123811, + 1.1301243700499162, + 1.221815937057233, + 1.3149882999175244, + 1.4080044909368794, + 1.4991969040137456, + 1.5869034935161084, + 1.6695040484034873, + 1.745455694950378, + 1.8133267977843563, + 1.8718284653588924, + 1.9198429215710981, + 1.9564480786707754, + 1.980937736114034, + 1.992836933423154, + 1.991912099913958, + 1.9781757675532299, + 1.9518857422116256, + 1.913538760044976, + 1.8638587864723057, + 1.8037802420444853, + 1.7344265593325328, + 1.6570845849014322, + 1.5731754378101508, + 1.4842225185376854, + 1.3918174277916853, + 1.2975846017402703, + 1.2031454977029066, + 1.1100831716083124, + 1.019908075438523, + 0.9340258697905693, + 0.8537079944529571, + 0.780065669834565, + 0.7140279159553788, + 0.6563240756607456, + 0.6074712172405793, + 0.5677666714862963, + 0.5372858323731706, + 0.5158852221206992, + 0.5032106935224733, + 0.4987105182929639, + 0.5016529927963437, + 0.5111480847728302, + 0.5261725491876266, + 0.5455978604136807, + 0.5682202435734699, + 0.5927920415441591, + 0.6180536269607945, + 0.6427650611419591, + 0.6657367143278428, + 0.6858580935839923, + 0.7021241753234267, + 0.7136586073112696, + 0.7197332284877556, + 0.7197834518412667, + 0.7134191634165704, + 0.70043090662003, + 0.6807912423485133, + 0.6546512990612012, + 0.6223326496224828, + 0.5843147704866511, + 0.5412184505928441, + 0.49378561939245175, + 0.44285615319058774, + 0.38934229421009475, + 0.3342013756109229, + 0.27840758666388277, + 0.22292353438064091, + 0.16867236061178642, + 0.11651115690026721, + 0.06720638366628699, + 0.021411946526974257, + -0.0203494879008181, + -0.057701439704411876, + -0.0904244279242537, + -0.11846235665221425, + -0.14192430001714496, + -0.16108163135877065, + -0.1763605636311289, + -0.18833028820333267, + -0.19768701468736116, + -0.20523432228477678, + -0.21186033066135918, + -0.21851228304373368, + -0.22616920391930573, + -0.23581334661987097, + -0.248401180810356, + -0.26483468557282774, + -0.28593370993615935, + -0.3124101394074852, + -0.34484456485569387, + -0.3836660899984784, + -0.42913583722256027, + -0.48133462040612, + -0.54015515006551, + -0.6052990230798453, + -0.6762786292702188, + -0.7524239832169937, + -0.8328943649851809, + -0.9166945310172284, + -1.0026951394176828, + -1.0896569251397947, + -1.1762580629348556, + -1.2611240718153682, + -1.342859546356189, + -1.4200809491713415, + -1.491449666686277, + -1.5557045177406308, + -1.6116929119843995, + -1.6583998823540935, + -1.6949742625252222, + -1.7207513450439684, + -1.7352714373022833, + -1.7382938286794527, + -1.7298057907048792, + -1.7100263503660482, + -1.6794047018118057, + -1.638613250628602, + -1.58853541444129, + -1.5302484306340818, + -1.4650015433814048, + -1.3941900549371657, + -1.3193258274760182, + -1.2420049092101935, + -1.163873029857068, + -1.0865897640345594, + -1.0117921954789866, + -0.9410589292466025, + -0.8758752929012638, + -0.8176005412315431, + -0.7674378329042946, + -0.7264076827537003, + -0.6953255116862295, + -0.6747838194310825, + -0.6651393959294938, + -0.6665058676929838, + -0.6787517488737403, + -0.7015040361581143, + -0.734157255093094, + -0.7758877362827851, + -0.8256727761861142, + -0.8823142220118684, + -0.9444659162367808, + -1.010664346083561, + -1.0793617690650674, + -1.1489610292122814, + -1.2178512412048565, + -1.2844435021914125, + -1.3472057940097149, + -1.404696261682084, + -1.45559409685931, + -1.4987273162271726, + -1.533096803229257, + -1.5578960748395123, + -1.5725263412121566, + -1.5766065422117248, + -1.5699781682051415, + -1.5527048000320198, + -1.5250664316139966, + -1.487548765055575, + -1.4408277892240213, + -1.3857500657075188, + -1.323309247981673, + -1.2546194480850945, + -1.1808861379741427, + -1.1033753282455994, + -1.0233818037680078, + -0.9421972130982785, + -0.8610788060165269, + -0.7812195912201725, + -0.7037206448000032, + -0.6295662406728194, + -0.559602398209748, + -0.4945193518268917, + -0.43483834460414567, + -0.3809030356771029, + -0.3328756920501312, + -0.2907382126125986, + -0.2542979086008979, + -0.22319784364275136, + -0.19693142088758653, + -0.1748607974653618, + -0.1562386103091157, + -0.14023241462564193, + -0.12595116906440534, + -0.11247305158520474, + -0.09887385839432818, + -0.08425522587682381, + -0.06777192248541009, + -0.048657483850719226, + -0.02624750926438835, + -2.637803357123145e-16 + ], + [ + 0, + 0.03158746667630958, + 0.06766115957758789, + 0.10822666584964503, + 0.15312711297836298, + 0.20204628197090815, + 0.2545162304539437, + 0.309929232995808, + 0.36755373270540864, + 0.4265538926116453, + 0.48601224016994066, + 0.5449548159034713, + 0.6023781697714918, + 0.6572774980975279, + 0.7086751811003691, + 0.7556489671142538, + 0.7973590548522197, + 0.8330733494661543, + 0.862190211115521, + 0.8842580752337016, + 0.8989914001944501, + 0.9062824887440817, + 0.9062088321323639, + 0.8990357377986501, + 0.8852141199621647, + 0.8653734545691342, + 0.8403100227106178, + 0.8109706867692217, + 0.7784325581621946, + 0.7438790217362313, + 0.7085726769528834, + 0.673825837570726, + 0.640969297500696, + 0.6113201191870998, + 0.5861492309778811, + 0.5666496306815378, + 0.5539059835319038, + 0.5488663742514011, + 0.5523169254594797, + 0.5648599294268498, + 0.5868960586823503, + 0.6186111251977758, + 0.6599677501241216, + 0.7107021889485353, + 0.7703264333390223, + 0.8381355838638709, + 0.9132203603265989, + 0.9944844917713709, + 1.080666609352334, + 1.1703661551489228, + 1.2620727213630774, + 1.3541981495909297, + 1.44511065112021, + 1.5331701581741775, + 1.6167640839799624, + 1.6943426572953977, + 1.7644530049108271, + 1.8257711834848944, + 1.8771314092202558, + 1.9175517992075306, + 1.9462560201885077, + 1.9626903370303201, + 1.9665356620199186, + 1.957714324540396, + 1.936391405899088, + 1.9029706129978639, + 1.858084794034094, + 1.802581326348343, + 1.737502727807686, + 1.6640629557873416, + 1.5836199591557139, + 1.4976451362258636, + 1.4076904232963903, + 1.3153537924442413, + 1.2222439723622218, + 1.1299452214307926, + 1.039982977537777, + 0.9537911845641457, + 0.8726820515809554, + 0.7978189387657673, + 0.7301929854048226, + 0.6706040020634114, + 0.6196460434016524, + 0.5776979628050746, + 0.5449191278419981, + 0.5212503495687021, + 0.5064199519831557, + 0.4999547835948227, + 0.5011958541822494, + 0.5093181692618333, + 0.5233542352875669, + 0.5422206225610817, + 0.5647469023338387, + 0.589706221319243, + 0.6158467420614164, + 0.6419231621275844, + 0.6667275292203477, + 0.6891185928746293, + 0.7080489757592678, + 0.7225895076270105, + 0.7319501410933694, + 0.7354969587212993, + 0.7327648830428608, + 0.7234658125680579, + 0.7074920246962352, + 0.6849148077826241, + 0.6559784063670684, + 0.6210894826838889, + 0.580802411053623, + 0.5358008267673409, + 0.48687594498809933, + 0.43490224566979757, + 0.3808111855299788, + 0.3255636460992343, + 0.2701218566253067, + 0.2154215414138688, + 0.16234503279683712, + 0.11169606357220647, + 0.06417690717321325, + 0.02036847117379912, + -0.019286128374404413, + -0.054494075858637074, + -0.08512111507835189, + -0.11119533632363152, + -0.1329063865536785, + -0.150600117349656, + -0.16476880468971433, + -0.176037190630583, + -0.18514470673125238, + -0.19292433972849438, + -0.2002786890067951, + -0.20815384052345096, + -0.21751174112838997, + -0.229301799129941, + -0.24443246040987351, + -0.2637435137544797, + -0.2879798641933189, + -0.3177674793571383, + -0.3535921619906472, + -0.3957817330492495, + -0.4444921259612564, + -0.4996977957211789, + -0.5611867388994595, + -0.6285603050856173, + -0.7012378596065315, + -0.7784662345945838, + -0.8593337836954947, + -0.9427887379583102, + -1.027661449702192, + -1.1126900101993151, + -1.1965486384060648, + -1.277878163969134, + -1.3553178702239406, + -1.4275379233788297, + -1.4932715935845797, + -1.551346472699198, + -1.6007139123619178, + -1.6404759440879257, + -1.6699089996082679, + -1.6884838232704227, + -1.6958810572217613, + -1.6920020821751447, + -1.6769748093281074, + -1.6511542397296042, + -1.615117733115021, + -1.5696550558855509, + -1.5157534043631957, + -1.4545777216030917, + -1.387446740885962, + -1.315805293716423, + -1.2411935121330067, + -1.165213632117821, + -1.0894951649677318, + -1.0156592451571735, + -0.945282985438402, + -0.8798646721161595, + -0.8207906155204114, + -0.7693044330945508, + -0.7264794861126442, + -0.693195117193984, + -0.6701172462806269, + -0.6576837797521714, + -0.656095173371008, + -0.6653103675497685, + -0.685048185980863, + -0.7147941590648581, + -0.7538126049708977, + -0.8011636766842368, + -0.8557249660667563, + -0.9162171486233232, + -0.9812330579304327, + -1.0492694988344593, + -1.1187610454885821, + -1.1881150255804007, + -1.255746866766347, + -1.3201149759574298, + -1.3797543367870195, + -1.4333080449365498, + -1.4795560541182469, + -1.5174404760751392, + -1.546086864190997, + -1.5648210100581907, + -1.5731808931519866, + -1.5709235428614918, + -1.5580266965864984, + -1.5346852643561697, + -1.5013027363399454, + -1.458477791610367, + -1.4069864815920894, + -1.3477604669790264, + -1.2818618799564878, + -1.2104554620713337, + -1.1347786901595587, + -1.0561106468879944, + -0.9757404176626189, + -0.894935801340877, + -0.814913108285289, + -0.7368087862229264, + -0.6616535630182258, + -0.5903497271665432, + -0.5236520833322419, + -0.4621530237227125, + -0.4062720489637135, + -0.3562499571357003, + -0.31214779965144934, + -0.2738505807256712, + -0.2410755563747237, + -0.21338487222183847, + -0.1902021697944053, + -0.17083269122634373, + -0.15448632481124872, + -0.14030296086939745, + -0.12737947070540775, + -0.1147975824433412, + -0.10165190718595295, + -0.0870773677383032, + -0.07027530006505942, + -0.05053753423618014, + -0.027267815908764693, + -2.737849287116157e-16 + ], + [ + 0, + 0.0326593164669299, + 0.06975994873334329, + 0.11122542857802041, + 0.1568205456075324, + 0.20615689335385282, + 0.2587027612179056, + 0.313797118058088, + 0.3706673257519964, + 0.42845012273273986, + 0.4862153308228374, + 0.5429916658715584, + 0.59779397561108, + 0.6496511882541603, + 0.6976342337008493, + 0.7408831963860274, + 0.7786329748924997, + 0.8102367581093446, + 0.8351866800984586, + 0.8531310846633349, + 0.8638879141973994, + 0.8674538336560094, + 0.864008807055713, + 0.8539159581034864, + 0.8377166655475097, + 0.8161209646443139, + 0.7899934457277173, + 0.7603349562399605, + 0.7282605208405374, + 0.6949739926106371, + 0.6617400344278511, + 0.6298541011059579, + 0.6006111480445443, + 0.5752738294826857, + 0.5550409680091342, + 0.5410170762225479, + 0.534183691312045, + 0.5353732442739471, + 0.5452461283988803, + 0.5642715579069012, + 0.5927127189455694, + 0.6306166137380746, + 0.6778088869370643, + 0.7338938039258714, + 0.7982594268262411, + 0.8700879083552936, + 0.9483706995051804, + 1.0319283473475387, + 1.119434447036952, + 1.2094432100703334, + 1.3004200215729431, + 1.390774285037852, + 1.478893795391439, + 1.5631798419299845, + 1.642082222563597, + 1.7141333504343814, + 1.777980653383601, + 1.8324165054800978, + 1.8764049869678234, + 1.9091048431706459, + 1.9298881023161452, + 1.9383539147411968, + 1.9343372890339954, + 1.9179125216031276, + 1.8893912420051793, + 1.849315124048952, + 1.798443439122435, + 1.7377357502854631, + 1.6683301604707999, + 1.5915176328532223, + 1.5087129935427583, + 1.421423304007427, + 1.3312143511714727, + 1.2396760455162614, + 1.1483875407286006, + 1.0588828919616764, + 0.972618053547038, + 0.8909399814564206, + 0.8150585518672692, + 0.7460219361934464, + 0.6846959866773598, + 0.631748087248107, + 0.5876358142981584, + 0.5526006340416998, + 0.5266667401048534, + 0.5096450099931696, + 0.5011419351597765, + 0.5005732596001181, + 0.5071819491598755, + 0.5200600108145695, + 0.5381735905671905, + 0.5603907025087324, + 0.5855108818266039, + 0.612296012549726, + 0.6395015575655533, + 0.665907414445256, + 0.6903476359019135, + 0.711738287836873, + 0.7291027699881963, + 0.741593992825667, + 0.7485128877725704, + 0.7493228239444755, + 0.7436596109370357, + 0.7313368810759546, + 0.7123467630878062, + 0.686855879374572, + 0.6551968179559612, + 0.6178553446992714, + 0.5754537288182358, + 0.5287306521064584, + 0.47851825754645433, + 0.4257169636831412, + 0.37126872571728986, + 0.31612946131516145, + 0.26124137774239603, + 0.20750593667451872, + 0.15575817394954347, + 0.10674305411972085, + 0.06109448490010948, + 0.019317545907660407, + -0.018225598757089102, + -0.05132573135056156, + -0.07993228834322767, + -0.10415459202730713, + -0.12425856968604776, + -0.14065904217702005, + -0.15390777979070125, + -0.16467763427513318, + -0.17374315914526217, + -0.18195822319448027, + -0.19023120212985742, + -0.19949839841600164, + -0.21069638806186705, + -0.2247340239607524, + -0.24246483768274305, + -0.2646605749742803, + -0.2919865747704077, + -0.32497965787358324, + -0.36402913065914105, + -0.4093614327241543, + -0.4610288671916226, + -0.5189027506523568, + -0.5826712090023088, + -0.6518417284736523, + -0.7257484508852456, + -0.8035640815628122, + -0.8843161605258614, + -0.9669073353695747, + -1.0501391706134644, + -1.1327389357651636, + -1.2133887353069734, + -1.2907562802731525, + -1.3635265546845756, + -1.430433602058731, + -1.4902916482777833, + -1.5420247875631254, + -1.5846944879781604, + -1.6175242210911047, + -1.639920586045232, + -1.6514903797395095, + -1.6520531601573571, + -1.6416489567867671, + -1.6205408979521059, + -1.5892126469001737, + -1.5483606636671157, + -1.498881435031185, + -1.4418539371536314, + -1.3785177118189729, + -1.3102470446409515, + -1.2385218295499796, + -1.1648957859482643, + -1.0909627610747012, + -1.018321898715617, + -0.9485424852110528, + -0.8831292939812171, + -0.8234892402531191, + -0.7709001285094744, + -0.726482227096851, + -0.691173338568956, + -0.6657079522911633, + -0.6506009695785008, + -0.6461363835148685, + -0.6523611782308861, + -0.6690845886533535, + -0.6958827345891199, + -0.7321085155615988, + -0.7769065281771488, + -0.829232648989715, + -0.8878778157400835, + -0.951495441140934, + -1.0186318084497328, + -1.0877587289693111, + -1.1573076900014838, + -1.2257046888836176, + -1.2914049353330992, + -1.3529266107024522, + -1.4088828987158537, + -1.4580115471429678, + -1.499201282531851, + -1.531514478998302, + -1.554205575187555, + -1.5667348385725304, + -1.5687771906279964, + -1.560225927294998, + -1.5411912935427228, + -1.511993995682927, + -1.4731538573274516, + -1.4253739415053324, + -1.36952056962029, + -1.3065997649950873, + -1.2377307323592435, + -1.164117052771987, + -1.0870163245014957, + -1.0077090131004496, + -0.9274672875787333, + -0.847524613903783, + -0.7690468522646926, + -0.6931055612994553, + -0.6206541519441986, + -0.5525074572858922, + -0.489325194740132, + -0.4315996953275977, + -0.37964816436212506, + -0.3336096212821359, + -0.293446546595484, + -0.2589511439782417, + -0.2297560084824211, + -0.2053488805005016, + -0.18509106239077272, + -0.16823898305224239, + -0.15396831753325205, + -0.14140000590633273, + -0.12962746969718036, + -0.11774429624527129, + -0.10487165217043716, + -0.09018469682544374, + -0.0729372949553404, + -0.05248437401758901, + -0.028301334550551917, + -2.8372138025815163e-16 + ], + [ + 0, + 0.03368857354818333, + 0.07173488021301784, + 0.113983392544268, + 0.1601248694125861, + 0.20970421110768353, + 0.26213246222973985, + 0.3167026508239668, + 0.3726090513084817, + 0.4289693683025601, + 0.4848492607815747, + 0.5392885630522117, + 0.5913285124727298, + 0.6400392648433896, + 0.6845469677259625, + 0.7240596699221595, + 0.7578913717841804, + 0.7854835653168616, + 0.8064236740811985, + 0.8204598792215456, + 0.8275119076260686, + 0.8276774590655777, + 0.8212340586296061, + 0.8086362361591217, + 0.7905080527778768, + 0.7676311130829858, + 0.7409283170961414, + 0.7114437157929953, + 0.6803189351518497, + 0.648766723634673, + 0.6180422545469029, + 0.589412875860644, + 0.5641270442511269, + 0.5433832061298814, + 0.5282993956497094, + 0.5198843077626695, + 0.5190105736628856, + 0.5263909170395178, + 0.5425578036521719, + 0.5678471153957575, + 0.6023862852044763, + 0.6460872231529511, + 0.6986442495254411, + 0.7595371302383189, + 0.8280391867620641, + 0.9032303296186979, + 0.9840147446522043, + 1.0691428475332316, + 1.1572370171693889, + 1.2468205254374871, + 1.3363490012429726, + 1.4242437033169442, + 1.50892582996867, + 1.5888510663825504, + 1.6625435616896038, + 1.7286285391895382, + 1.7858627735066293, + 1.8331622174148943, + 1.8696261273942858, + 1.8945571190818273, + 1.9074766796746616, + 1.9081357717017866, + 1.8965202788021935, + 1.8728511664058727, + 1.8375793555392241, + 1.7913754333211065, + 1.735114446033284, + 1.6698561369670895, + 1.59682109874251, + 1.5173634058593066, + 1.4329403755464485, + 1.3450801715384284, + 1.255348014624618, + 1.165311794516429, + 1.0765078890374293, + 0.9904079886166806, + 0.9083876967862796, + 0.831697631553367, + 0.7614376892915924, + 0.6985350537594924, + 0.6437264399715148, + 0.597544958226246, + 0.5603118702207088, + 0.5321333896490233, + 0.5129025569452285, + 0.5023060949027855, + 0.49983603180591935, + 0.5048057643826347, + 0.5163701271298876, + 0.5335489399443021, + 0.5552534248126226, + 0.5803148165328709, + 0.6075144436232237, + 0.6356145248799875, + 0.663388915166985, + 0.6896530411857067, + 0.7132922939455466, + 0.7332881887168582, + 0.7487416642484876, + 0.7588929693902325, + 0.7631376750239124, + 0.7610384500905213, + 0.7523323499482663, + 0.7369334805426192, + 0.7149310200110284, + 0.6865826974113842, + 0.6523039432924461, + 0.6126530359351883, + 0.5683126675592729, + 0.5200684441023472, + 0.4687849081194844, + 0.4153797350323209, + 0.36079679688461647, + 0.3059788138581717, + 0.2518403214445738, + 0.199241670192958, + 0.14896474566918444, + 0.10169104943468382, + 0.057982718692111496, + 0.01826698436805348, + -0.017175523201683144, + -0.04821831284371888, + -0.07489221611167597, + -0.09738413054118668, + -0.11603135344552275, + -0.13131165249664134, + -0.1438293310424409, + -0.15429765129024625, + -0.1635180744640417, + -0.1723568613744674, + -0.18171964737360008, + -0.1925246605945715, + -0.2056752902841371, + -0.22203273193644146, + -0.24238943729276813, + -0.2674440800152265, + -0.2977787123704288, + -0.33383873542907105, + -0.37591623639333777, + -0.4241371634060423, + -0.47845271263681577, + -0.5386351969571612, + -0.604278552736688, + -0.6748035240341009, + -0.749467444653339, + -0.8273784211664522, + -0.9075136070204839, + -0.988741152091425, + -1.069845316196719, + -1.1495541515590102, + -1.2265690901563568, + -1.299595719071136, + -1.3673749917332754, + -1.4287141062815139, + -1.4825162846169073, + -1.5278087071032398, + -1.5637678978134415, + -1.589741912802366, + -1.6052687577378888, + -1.610090549571367, + -1.6041630376396865, + -1.5876602102185027, + -1.5609738303937788, + -1.524707867306218, + -1.4796679123579193, + -1.426845791820577, + -1.3673997044536177, + -1.3026303223430313, + -1.2339533925021555, + -1.1628694633780061, + -1.0909314321338937, + -1.0197106636455546, + -0.9507624691768533, + -0.8855917507544336, + -0.8256196158673937, + -0.7721517462816537, + -0.7263492649610535, + -0.6892027872747798, + -0.6615102682319487, + -0.6438591682167041, + -0.6366133577616708, + -0.6399050697670499, + -0.65363208796943, + -0.6774602362952473, + -0.7108311080168571, + -0.7529748494207761, + -0.8029276930164014, + -0.8595538230669276, + -0.9215710541359866, + -0.987579713888402, + -1.0560940467240973, + -1.1255753967607114, + -1.1944663886040865, + -1.2612253032060352, + -1.3243598443908133, + -1.3824595093428307, + -1.434225813020532, + -1.4784996711619687, + -1.5142853179023708, + -1.5407702202526106, + -1.5573405506462934, + -1.5635918880004493, + -1.5593349345491512, + -1.5445961572190863, + -1.5196133855286462, + -1.484826519879132, + -1.4408636216787125, + -1.3885227671197695, + -1.3287501469248233, + -1.2626149825419728, + -1.1912819029741164, + -1.1159814838962119, + -1.0379796905859586, + -0.9585469875393954, + -0.8789278799983699, + -0.8003116359888758, + -0.7238049023357276, + -0.650406875416563, + -0.5809876185178271, + -0.5162700343286714, + -0.4568159054813949, + -0.4030163105476883, + -0.35508661019753773, + -0.31306608116504725, + -0.2768221571893116, + -0.24605911918395296, + -0.22033096446715644, + -0.19905807976761994, + -0.18154724753578452, + -0.16701443220557696, + -0.15460972452883806, + -0.14344376963854877, + -0.13261496937817113, + -0.12123673251579521, + -0.10846404813796952, + -0.09351867771573996, + -0.07571229951555324, + -0.054466994199385985, + -0.029332531204025764, + -2.934472363064341e-16 + ], + [ + 0, + 0.034661187129016176, + 0.07355975784662186, + 0.11646481035062632, + 0.16299798281864222, + 0.21264347460341795, + 0.2647619860709491, + 0.3186082127820865, + 0.373351436091161, + 0.4280986702421431, + 0.4819197577763215, + 0.5338737522733624, + 0.583035891489444, + 0.6285244457689081, + 0.6695267266800433, + 0.7053235591927424, + 0.735311556947237, + 0.7590225933804543, + 0.7761399303730606, + 0.7865105489533405, + 0.7901533213872549, + 0.7872627683382184, + 0.7782082560920864, + 0.7635286043300035, + 0.7439221917015733, + 0.7202327615727775, + 0.6934312409018746, + 0.6645939884443413, + 0.6348779817941149, + 0.6054935337647643, + 0.577675195234566, + 0.5526515521111882, + 0.531614657199364, + 0.5156898525932491, + 0.5059067343318582, + 0.5031719884831768, + 0.5082447870567007, + 0.5217153741343521, + 0.5439873987350013, + 0.5752644629633203, + 0.6155412540675482, + 0.6645995195716152, + 0.7220090283245313, + 0.7871335399687651, + 0.8591416839191987, + 0.9370225294470741, + 1.0196055138195725, + 1.105584288481403, + 1.1935439466221056, + 1.28199101154413, + 1.3693854961155054, + 1.4541742909800208, + 1.5348251044265173, + 1.6098601607701029, + 1.6778888671961496, + 1.7376386812178979, + 1.7879834516866908, + 1.8279685647003927, + 1.8568323003780258, + 1.87402289550599, + 1.8792109083584603, + 1.8722965930951514, + 1.853412109346253, + 1.8229185150347902, + 1.7813976141848917, + 1.7296388534133098, + 1.6686215780371945, + 1.5994930684054598, + 1.5235428765122179, + 1.4421740697679803, + 1.3568720608877611, + 1.2691717584668716, + 1.180623810622092, + 1.0927607331820506, + 1.0070637138793224, + 0.9249308648606669, + 0.847647658091902, + 0.7763602228468965, + 0.7120521128241937, + 0.6555250643151367, + 0.6073841683920327, + 0.5680277717310415, + 0.5376423051090354, + 0.5162021186654457, + 0.5034742816512364, + 0.4990281845780342, + 0.5022496663679414, + 0.5123592811081392, + 0.5284342209673929, + 0.5494333261159884, + 0.5742245411787726, + 0.6016141225542516, + 0.630376863160528, + 0.6592865816956506, + 0.6871461227455888, + 0.7128161319916333, + 0.7352419068519567, + 0.7534776761808079, + 0.7667077317590564, + 0.7742639174677036, + 0.7756390771210805, + 0.7704961665368889, + 0.7586728468914362, + 0.7401814919405502, + 0.7152046583742335, + 0.6840861834875706, + 0.647318184613568, + 0.6055243376187723, + 0.5594399046438762, + 0.5098890618672169, + 0.4577601443793904, + 0.40397947564361975, + 0.3494844822426384, + 0.2951968098748993, + 0.24199615350933282, + 0.19069549334778013, + 0.142018389344625, + 0.09657893150374047, + 0.054864872441471854, + 0.017224384579897705, + -0.016143211037637772, + -0.04519250150932208, + -0.07003269198096833, + -0.09092394999288719, + -0.1082694797777524, + -0.12260353381249842, + -0.13457567546064586, + -0.14493170510776077, + -0.15449175028400458, + -0.16412609563873715, + -0.1747293893567061, + -0.187193907124814, + -0.20238258192095102, + -0.22110251698584618, + -0.24407969009346347, + -0.27193552985428904, + -0.30516599992442267, + -0.34412376574769243, + -0.3890039423373984, + -0.43983383249410124, + -0.4964669649708044, + -0.5585816339258899, + -0.6256840272485243, + -0.697115914847338, + -0.7720667516818672, + -0.8495899371091591, + -0.9286228648661077, + -1.0080102994186049, + -1.0865305269792895, + -1.1629236554503808, + -1.2359213787821524, + -1.3042774792702425, + -1.3667983172494564, + -1.4223725521396327, + -1.469999352060653, + -1.5088143809942343, + -1.5381129020045825, + -1.5573694011706578, + -1.5662532180480306, + -1.5646397627101538, + -1.5526170044321244, + -1.5304870303175604, + -1.498762590865413, + -1.4581586707221248, + -1.4095792436905565, + -1.3540994885002484, + -1.2929438529913457, + -1.2274604564847613, + -1.1590924106783098, + -1.0893467161780024, + -1.0197614528364625, + -0.9518720259001457, + -0.887177255459994, + -0.8271061031996421, + -0.7729858177520007, + -0.7260122483882459, + -0.6872230270174817, + -0.6574742517603693, + -0.6374212232821326, + -0.6275036896142333, + -0.6279359486719263, + -0.6387020426722629, + -0.6595561579668834, + -0.6900282203595062, + -0.7294345527801267, + -0.7768933422313453, + -0.8313445491217806, + -0.8915737872209621, + -0.956239609053113, + -1.0239035518566786, + -1.093062235196478, + -1.1621807544667873, + -1.2297265859840576, + -1.2942032098055973, + -1.3541826660285219, + -1.4083362888532074, + -1.4554629094067797, + -1.4945138820385204, + -1.5246143679286692, + -1.5450804024275093, + -1.5554313762677083, + -1.5553976731051684, + -1.5449233239701194, + -1.5241636602417836, + -1.4934780677209973, + -1.4534180622978603, + -1.4047110197088306, + -1.3482399952147732, + -1.285020161192846, + -1.216172469386921, + -1.1428952080055648, + -1.066434170478645, + -0.9880521813879062, + -0.9089987352246253, + -0.8304804950108359, + -0.753633370728056, + -0.6794968526649534, + -0.6089912133978954, + -0.5428981157399742, + -0.4818450745884844, + -0.42629412044072634, + -0.37653490397004413, + -0.332682367193808, + -0.2946789902890368, + -0.2623015069460847, + -0.23517186820836267, + -0.21277212785298114, + -0.19446282419285, + -0.17950434617173877, + -0.16708069794255243, + -0.1563250175903783, + -0.14634616372765524, + -0.13625565937237008, + -0.1251942764008796, + -0.11235755606639138, + -0.09701959125313565, + -0.0785544435039352, + -0.056454631192610155, + -0.030346202889009535, + -3.028250144757066e-16 + ], + [ + 0, + 0.03556397042031615, + 0.07521044741445719, + 0.11863747398809663, + 0.1654030155193898, + 0.2149369870892549, + 0.26655694234209765, + 0.3194870118115124, + 0.3728795929010815, + 0.4258392206348752, + 0.4774479897525418, + 0.5267918562219984, + 0.5729871208779557, + 0.6152063903356156, + 0.6527033207970557, + 0.6848354786308737, + 0.7110846969834344, + 0.7310743690610774, + 0.7445831945915458, + 0.7515549844480166, + 0.7521042272990566, + 0.746517228966364, + 0.7352487472593502, + 0.7189141596045603, + 0.6982773149244522, + 0.6742343320746961, + 0.6477937119284333, + 0.6200532262526682, + 0.5921741314209129, + 0.5653533265855993, + 0.5407941323593224, + 0.5196764058650246, + 0.5031267301618599, + 0.492189419923076, + 0.4877990706755287, + 0.49075534620600886, + 0.5017006486473152, + 0.521101249460026, + 0.5492323786119927, + 0.5861676756801705, + 0.6317733026299921, + 0.685706906199592, + 0.7474215008630093, + 0.8161742241337119, + 0.8910397974243695, + 0.9709284107174415, + 1.0546076407572735, + 1.1407279130287526, + 1.227850929901463, + 1.3144804131726007, + 1.3990944506830565, + 1.4801786951750018, + 1.55625964015513, + 1.6259371928309911, + 1.6879157783461909, + 1.7410332422381354, + 1.7842868685092284, + 1.8168558977322946, + 1.838120011589671, + 1.8476733451917653, + 1.8453336941348446, + 1.8311466969769261, + 1.8053848928730127, + 1.7685416756231305, + 1.7213202863948305, + 1.6646181049444946, + 1.599506610421895, + 1.5272074850979407, + 1.4490654251254813, + 1.3665182995288008, + 1.2810653601566884, + 1.194234249845969, + 1.1075475824649466, + 1.0224898762207493, + 0.9404756104617288, + 0.8628191464889684, + 0.7907072053674776, + 0.7251745315913815, + 0.6670832923078989, + 0.6171066696077477, + 0.5757170004278963, + 0.5431787074298106, + 0.5195461475541331, + 0.5046663856820487, + 0.498186781884648, + 0.499567165030769, + 0.5080962558819775, + 0.5229119019060073, + 0.543024596341274, + 0.5673436777174548, + 0.5947055449180357, + 0.6239031784175855, + 0.6537162315812103, + 0.6829409474773765, + 0.7104191666742291, + 0.7350657196520665, + 0.7558935430096463, + 0.7720359203784898, + 0.7827653252966726, + 0.787508432281794, + 0.7858569617210784, + 0.7775741314506822, + 0.7625966003210204, + 0.7410319038118027, + 0.7131514959886313, + 0.6793796229206585, + 0.640278357335097, + 0.5965292201577851, + 0.5489118992930152, + 0.4982806474275497, + 0.4455389970367459, + 0.3916134707383399, + 0.3374269877093292, + 0.28387267151943385, + 0.2317887513576927, + 0.18193521760662515, + 0.1349728448642264, + 0.09144513206329705, + 0.05176363191741548, + 0.016197052510547667, + -0.015135585279004582, + -0.04226755714819117, + -0.06538274496934465, + -0.08480969254311703, + -0.1010115647317747, + -0.11457227449924003, + -0.12617914295080024, + -0.13660254874278627, + -0.14667310289700403, + -0.15725695107394067, + -0.16922985604302543, + -0.18345074713268858, + -0.20073543996081195, + -0.2218312282909933, + -0.24739303043728075, + -0.2779617357073079, + -0.3139453428296009, + -0.35560341347274715, + -0.4030352815359501, + -0.45617236492008345, + -0.5147748233168089, + -0.5784326957568564, + -0.6465715379839605, + -0.7184624650178668, + -0.7932363914189182, + -0.8699021536083947, + -0.947368097862023, + -1.024466626827763, + -1.0999811189293358, + -1.1726745708078259, + -1.2413192646781388, + -1.304726731394215, + -1.361777266960669, + -1.4114482655862248, + -1.4528406560761196, + -1.4852027698807433, + -1.507951027486849, + -1.5206869036658246, + -1.5232097196049825, + -1.5155249090233514, + -1.4978475136032776, + -1.4706007778116914, + -1.4344098316321197, + -1.3900905689749907, + -1.3386339466487376, + -1.2811860408735993, + -1.2190243026380736, + -1.1535305471559776, + -1.0861612939512442, + -1.0184161406584724, + -0.9518049038180906, + -0.8878142925046052, + -0.8278748947247208, + -0.7733292517811817, + -0.7254017723026587, + -0.6851711959336529, + -0.6535462577534308, + -0.6312451297635167, + -0.6187791270525111, + -0.616441065662089, + -0.6242985491777382, + -0.6421923443225253, + -0.669739885178306, + -0.706343824028963, + -0.7512054271713061, + -0.8033424992793715, + -0.8616114128251813, + -0.9247327222530727, + -0.9913197584223638, + -1.0599095293113903, + -1.1289951997910457, + -1.1970593877038298, + -1.2626074963675258, + -1.3242003053512934, + -1.3804850618742015, + -1.43022435391954, + -1.4723221021640032, + -1.505846079688204, + -1.5300464543755599, + -1.5443699467896495, + -1.5484693037246975, + -1.542207901899345, + -1.5256594145949947, + -1.4991025935174636, + -1.4630113358519317, + -1.4180403195036877, + -1.3650065951093338, + -1.3048676189920867, + -1.2386962945001803, + -1.1676536580980734, + -1.092959899523631, + -1.0158644410272404, + -0.937615818346889, + -0.8594321052719979, + -0.7824726044909734, + -0.7078114904414681, + -0.6364140360673359, + -0.5691159861273372, + -0.506606556773739, + -0.44941544663637356, + -0.39790414100393984, + -0.3522616805077691, + -0.31250495175931775, + -0.27848344253469726, + -0.24988829121832146, + -0.2262653521379911, + -0.2070318978453361, + -0.19149648882511994, + -0.17888146280631614, + -0.16834743173772782, + -0.15901912616267574, + -0.15001189536408593, + -0.14045815800878017, + -0.12953310240735247, + -0.11647895777996319, + -0.10062719748529418, + -0.08141809100224494, + -0.05841709211584639, + -0.0313276344424506, + -3.117235850326852e-16 + ], + [ + 0, + 0.03638472628062963, + 0.07666509756661856, + 0.12047299490834641, + 0.16730862706589533, + 0.21655438902772273, + 0.26749210033505505, + 0.3193231686854493, + 0.37119114694215877, + 0.42220608788395597, + 0.47147005242502055, + 0.518103094867067, + 0.5612690338537075, + 0.6002003204835399, + 0.6342213354623983, + 0.6627694847515032, + 0.6854135169796455, + 0.7018685546073169, + 0.7120074127554404, + 0.7158678727032495, + 0.713655678997326, + 0.70574313734925, + 0.6926633023225557, + 0.6750998564155447, + 0.6538728927046891, + 0.6299209189392398, + 0.6042794992016504, + 0.5780570374830791, + 0.5524082835251399, + 0.5285062031054564, + 0.5075129010020787, + 0.490550313956539, + 0.4786714022836205, + 0.472832562004378, + 0.47386795461365727, + 0.482466409387955, + 0.4991514944820636, + 0.5242652793522429, + 0.5579562240549074, + 0.6001715328112507, + 0.6506542022893973, + 0.7089448819485533, + 0.774388547284284, + 0.8461458697703409, + 0.9232090525891388, + 1.0044217917070335, + 1.0885029201865415, + 1.174073202351363, + 1.2596846657958094, + 1.343851795214676, + 1.4250838642231756, + 1.5019176509436145, + 1.57294977093428, + 1.6368678673587005, + 1.6924799230183367, + 1.7387410014249638, + 1.7747767834589812, + 1.7999033409218268, + 1.813642676641117, + 1.8157336605885612, + 1.806138100303674, + 1.7850417991389966, + 1.7528505746557574, + 1.7101813290146781, + 1.6578483805195277, + 1.5968453777293337, + 1.5283232220311955, + 1.4535645187227642, + 1.373955158208337, + 1.2909536958914474, + 1.20605925013388, + 1.120778671027824, + 1.0365937479034617, + 0.954929220124011, + 0.8771223339143617, + 0.8043946482898485, + 0.7378267365977842, + 0.6783363581680749, + 0.6266605888799381, + 0.5833423022117024, + 0.5487212859526064, + 0.522930166842735, + 0.5058951987491838, + 0.49734185244949936, + 0.49680502956016936, + 0.5036436124462244, + 0.5170589587809404, + 0.5361168563041264, + 0.5597723725122421, + 0.5868969674538295, + 0.6163071870932305, + 0.646794221042786, + 0.6771535926227443, + 0.7062142515201206, + 0.7328663596633911, + 0.7560870987430499, + 0.7749638820904928, + 0.7887144229745024, + 0.7967031940097288, + 0.79845390619269, + 0.7936577387115971, + 0.782177159526581, + 0.7640452890469505, + 0.7394608722212314, + 0.7087790351728173, + 0.6724981083877868, + 0.6312428967498009, + 0.5857448649724483, + 0.5368197830103976, + 0.48534343795540325, + 0.43222606521675666, + 0.378386181317576, + 0.3247245127001394, + 0.2720987092567243, + 0.22129950806436346, + 0.17302897262098432, + 0.12788137680042358, + 0.08632723220728113, + 0.048700874424814994, + 0.01519192993224981, + -0.014159116391973032, + -0.039461140677332175, + -0.06096838411223571, + -0.0790723496344194, + -0.09428980674366896, + -0.10724722190291466, + -0.11866202588125513, + -0.12932121279646297, + -0.1400578364103551, + -0.1517260256100226, + -0.165175181525397, + -0.18122404234148123, + -0.20063530793928488, + -0.2240915048613891, + -0.25217274301002246, + -0.2853369696509631, + -0.323903264840895, + -0.3680386468388508, + -0.4177487682805377, + -0.4728727860741346, + -0.5330825825597354, + -0.597886405099255, + -0.6666368786953816, + -0.7385432343038748, + -0.8126874870192504, + -0.8880441960153836, + -0.9635033445965551, + -1.0378957963335091, + -1.1100207141233438, + -1.1786742748946986, + -1.2426789749841751, + -1.3009128009329922, + -1.352337538159941, + -1.396025505776924, + -1.4311840393959145, + -1.4571770943577993, + -1.4735434081973868, + -1.4800107417527788, + -1.4765058111838727, + -1.463159626027935, + -1.440308058781535, + -1.4084875866583466, + -1.368426263307671, + -1.3210300945107398, + -1.2673651043393577, + -1.2086354841897269, + -1.1461583138749936, + -1.0813354291760215, + -1.0156230817935281, + -0.9505000937324687, + -0.8874352473741706, + -0.8278546738590888, + -0.7731100053560955, + -0.7244480412271613, + -0.6829826443584267, + -0.6496695328144547, + -0.625284564704457, + -0.6104060323461469, + -0.6054013874513576, + -0.6104187144231321, + -0.6253831564850569, + -0.6499983819891181, + -0.6837530587206673, + -0.7259321852437682, + -0.7756330131948701, + -0.8317851857355477, + -0.8931746177564022, + -0.958470555301471, + -1.0262551771906945, + -1.0950550427577044, + -1.1633736474124967, + -1.2297243233917494, + -1.2926627171426834, + -1.3508180874171236, + -1.4029226989938326, + -1.4478386352158306, + -1.4845814170160332, + -1.5123398952035911, + -1.5304919745324885, + -1.5386158302042487, + -1.5364963874466342, + -1.524126949950742, + -1.5017059804078425, + -1.469629153281554, + -1.4284769134161959, + -1.3789978813444486, + -1.322088544601265, + -1.2587697615835696, + -1.1901606784057093, + -1.1174507180115523, + -1.0418703431150134, + -0.9646613193624739, + -0.8870472118886642, + -0.8102048370662042, + -0.735237362071628, + -0.6631496986924109, + -0.5948267757855509, + -0.5310151985640643, + -0.4723087143786569, + -0.4191378061244828, + -0.37176362832787363, + -0.33027639002892756, + -0.29459817556172246, + -0.2644900820791947, + -0.23956344398474816, + -0.21929481203222953, + -0.2030442612929717, + -0.19007651978980752, + -0.17958434040642857, + -0.17071348440480622, + -0.162588646855454, + -0.15433963342731905, + -0.14512709478602312, + -0.13416713935666036, + -0.1207541770213858, + -0.10428139460873878, + -0.08425832754395358, + -0.06032506913835481, + -0.032262747731427795, + -3.2001946256190746e-16 + ], + [ + 0, + 0.03711236019790447, + 0.0779043325451262, + 0.12194703823847808, + 0.16868924063920637, + 0.21747284724451968, + 0.2675514886506549, + 0.31811168308373244, + 0.36829602654185695, + 0.4172277943468657, + 0.4640363013373008, + 0.5078823460420887, + 0.5479830595343458, + 0.5836354924201134, + 0.6142383032733171, + 0.6393109580607736, + 0.6585099115717379, + 0.6716413170525924, + 0.6786698972792428, + 0.679723707007385, + 0.6750946207074601, + 0.6652344881136836, + 0.6507470106705971, + 0.6323755016680145, + 0.6109867989538458, + 0.5875516989266157, + 0.5631223715099132, + 0.5388072956888713, + 0.5157443219063835, + 0.49507251946052067, + 0.47790350266834053, + 0.46529294802002974, + 0.458213015321845, + 0.4575263688363262, + 0.4639624600352507, + 0.47809668257978155, + 0.5003329437425007, + 0.530890116281833, + 0.5697927427109913, + 0.6168662622096479, + 0.6717369215890014, + 0.7338364184038519, + 0.8024112092892496, + 0.8765363027125608, + 0.9551332453804866, + 1.0369919082392454, + 1.1207955839105193, + 1.205148824849329, + 1.288607382546241, + 1.3697095544475764, + 1.4470082082818119, + 1.5191027340989698, + 1.5846701730618076, + 1.642494788938348, + 1.6914953829536974, + 1.730749704347084, + 1.7595153764121023, + 1.7772468393515082, + 1.7836079049825786, + 1.77847962191551, + 1.7619632607829419, + 1.7343783447289196, + 1.6962557678604901, + 1.648326160868311, + 1.591503775701685, + 1.526866267299315, + 1.4556308473518003, + 1.3791273705515819, + 1.2987689856991207, + 1.2160210406417622, + 1.1323689699610753, + 1.0492859166413144, + 0.9682008431244646, + 0.89046787310913, + 0.8173375735510594, + 0.7499308373791292, + 0.6892159626757238, + 0.6359894450948573, + 0.5908609090614632, + 0.5542425020655201, + 0.5263429676315046, + 0.5071664989836742, + 0.49651635983176917, + 0.4940031439054123, + 0.4990574336798452, + 0.5109465138769608, + 0.5287946993491877, + 0.5516067521906223, + 0.57829379141946, + 0.6077010420558595, + 0.6386367302241025, + 0.6699014079743497, + 0.7003169863562781, + 0.7287547679511622, + 0.7541618002062963, + 0.775584917708773, + 0.7921919037665021, + 0.8032892777342273, + 0.8083363024918615, + 0.8069549041215738, + 0.7989353006720374, + 0.7842372463033246, + 0.7629869083256492, + 0.7354695048921448, + 0.7021179376225701, + 0.6634977535625967, + 0.6202888621284991, + 0.5732645127827491, + 0.5232681061488658, + 0.4711884634526605, + 0.41793421529411773, + 0.36440798993659046, + 0.3114810831010624, + 0.2599692756633921, + 0.21061043309882413, + 0.16404447185364712, + 0.12079621430601716, + 0.08126157723594826, + 0.04569745071947344, + 0.014215527336728845, + -0.013219761993021542, + -0.03678915673219619, + -0.05681237986909618, + -0.0737380224672944, + -0.08812976942629576, + -0.10064933218246364, + -0.11203654066290261, + -0.12308712184646672, + -0.13462875387222525, + -0.14749603119163268, + -0.16250500658903813, + -0.18042798920661093, + -0.2019692736427517, + -0.22774245382325817, + -0.2582499371831541, + -0.2938652206786165, + -0.33481842160718756, + -0.3811854748519489, + -0.43288131600774954, + -0.4896572691954447, + -0.5511027517411793, + -0.6166512979641658, + -0.685590793838029, + -0.7570777060463946, + -0.8301549856715875, + -0.9037732310453893, + -0.9768146085790614, + -1.048118956856699, + -1.116511439803596, + -1.180831070863976, + -1.2399594029895493, + -1.2928486695865196, + -1.3385486696942916, + -1.3762317164337243, + -1.4052150105859207, + -1.4249798600394232, + -1.4351872393679834, + -1.4356892702001345, + -1.4265363002198201, + -1.4079793642265994, + -1.3804679221035503, + -1.3446428830602088, + -1.3013250403235133, + -1.251499152715831, + -1.1962940165168845, + -1.136958970012392, + -1.074837361734108, + -1.0113375893937597, + -0.9479023780128699, + -0.8859770112117703, + -0.8269772578962687, + -0.7722577469415175, + -0.7230815346321904, + -0.6805915837335262, + -0.64578482974137, + -0.6194894501202844, + -0.6023458776210568, + -0.5947920108743107, + -0.5970529765115602, + -0.6091356894676581, + -0.630828344480536, + -0.6617048548863663, + -0.7011341374525839, + -0.7482940270507934, + -0.802189495240821, + -0.8616747449827983, + -0.9254786621894924, + -0.9922330258961916, + -1.0605028143706623, + -1.1288178960674582, + -1.1957053631104508, + -1.259721751705681, + -1.319484398843273, + -1.3737012076952355, + -1.421198134665916, + -1.4609437680846007, + -1.4920704406245187, + -1.5138914029001995, + -1.5259136822237522, + -1.5278463558074686, + -1.5196040791904664, + -1.5013058255988996, + -1.473268907500336, + -1.4359984649514477, + -1.3901727136918003, + -1.3366243466612873, + -1.2763185732640931, + -1.210328359070771, + -1.1398074928528037, + -1.0659621563453214, + -0.9900217037892112, + -0.9132093723887105, + -0.8367136410459456, + -0.761660933254358, + -0.6890903214408496, + -0.6199308353579336, + -0.5549819077550726, + -0.494897408277147, + -0.4401736234389855, + -0.39114143896414433, + -0.3479628733144398, + -0.3106320005770561, + -0.2789801897948513, + -0.2526854791037233, + -0.23128579939546376, + -0.21419566623934325, + -0.2007258728586274, + -0.19010564320093545, + -0.18150664438685032, + -0.17406821353839405, + -0.16692312625655684, + -0.15922322349680232, + -0.15016422051227932, + -0.13900904568671416, + -0.1251090978206324, + -0.10792286670708151, + -0.08703143218853582, + -0.06215043952422646, + -0.03313824170823004, + -3.275979950864032e-16 + ], + [ + 0, + 0.03773697950054407, + 0.07891141489450709, + 0.12303950906325649, + 0.16952521014785693, + 0.21767715873931456, + 0.26672839181160324, + 0.3158582808343736, + 0.36421612209959575, + 0.4109457527588388, + 0.45521053754008134, + 0.49621805933701224, + 0.5332438521604937, + 0.5656535372024145, + 0.5929227614505669, + 0.6146543924594328, + 0.6305924911852842, + 0.640632665536881, + 0.6448284984622472, + 0.6433938437093799, + 0.6367008873778597, + 0.6252739813862913, + 0.6097793633037647, + 0.5910109829054878, + 0.5698727566419821, + 0.5473576644081597, + 0.5245241861994056, + 0.5024706473275897, + 0.48230809802001323, + 0.4651323949618961, + 0.45199617757273297, + 0.4438814398422909, + 0.44167338913379156, + 0.4461362566643266, + 0.4578916810005523, + 0.4774002268818343, + 0.5049465284150612, + 0.5406284599438375, + 0.5843506417616153, + 0.6358224836575591, + 0.694560859604164, + 0.7598973944069595, + 0.8309902306043836, + 0.9068400341022604, + 0.9863098926626238, + 1.0681486650223972, + 1.151017252482347, + 1.233517191417156, + 1.3142209061447416, + 1.3917029184375773, + 1.4645712837533824, + 1.5314985156849434, + 1.5912512694243857, + 1.6427180820127552, + 1.6849345111737923, + 1.7171050745646899, + 1.738621465876, + 1.7490766115788912, + 1.748274230137483, + 1.736233661801051, + 1.7131898490856274, + 1.6795884630260138, + 1.6360762854327697, + 1.5834870699244237, + 1.5228232116867415, + 1.4552336551331206, + 1.381988557492884, + 1.3044513026814581, + 1.224048521759637, + 1.14223882237225, + 1.0604809586630997, + 0.9802021846026726, + 0.9027675271809195, + 0.8294506916915192, + 0.7614072699832175, + 0.6996508651139246, + 0.6450326737430014, + 0.5982249826235398, + 0.5597089398091913, + 0.5297668570307593, + 0.5084791896905747, + 0.49572622777124653, + 0.49119441743624925, + 0.4943871219931526, + 0.5046395249121964, + 0.5211372793275753, + 0.5429384202854598, + 0.5689979800767253, + 0.5981946851325373, + 0.6293590666450126, + 0.6613022873940344, + 0.6928449748915327, + 0.7228453561439141, + 0.750226011893302, + 0.7739986075114625, + 0.7932860127545283, + 0.807341291922536, + 0.8155631278341131, + 0.817507335344282, + 0.8128942205689125, + 0.8016116480015765, + 0.7837137866536267, + 0.7594156154845886, + 0.7290833749873336, + 0.69322125318973, + 0.652454688005661, + 0.6075107514857383, + 0.5591961530098085, + 0.5083734560650655, + 0.45593614555163536, + 0.40278320852447325, + 0.34979390029989665, + 0.2978033597368946, + 0.24757971248797936, + 0.19980325976621482, + 0.155048293765831, + 0.11376801075536831, + 0.07628291082946292, + 0.04277298145181902, + 0.013273862586410123, + -0.012322913077441856, + -0.034265617898266286, + -0.05293408434378159, + -0.06882773973191456, + -0.08255024043130645, + -0.0947911145024389, + -0.10630490050737526, + -0.11788833650396276, + -0.13035620537772374, + -0.14451647931590306, + -0.16114542644685512, + -0.1809633459209846, + -0.20461158389045137, + -0.23263145227721027, + -0.26544562564791624, + -0.30334253008874074, + -0.3464641632170622, + -0.39479769824170347, + -0.4481711294411213, + -0.5062531139594494, + -0.5685570579912482, + -0.6344493869188584, + -0.7031618315099254, + -0.7738074585844211, + -0.8454000772392406, + -0.9168765632382468, + -0.9871215667853892, + -1.0549940045736754, + -1.1193546873978257, + -1.1790944010231938, + -1.233161741311823, + -1.2805900052930197, + -1.320522457972839, + -1.352235329814144, + -1.375157951170882, + -1.3888894963072451, + -1.3932118893792875, + -1.3880985159721724, + -1.3737184842508698, + -1.3504362870417275, + -1.3188068275895555, + -1.2795658845935156, + -1.233616203637744, + -1.182009509549543, + -1.1259248348849995, + -1.066643651166216, + -1.0055223694061757, + -0.9439628428669959, + -0.8833815562433417, + -0.8251782202548246, + -0.7707045080812936, + -0.721233669719558, + -0.6779317421537382, + -0.6418310376248488, + -0.6138065400987965, + -0.5945557725123642, + -0.5845826161489562, + -0.5841854705218068, + -0.5934500396733517, + -0.6122469213213002, + -0.6402340614530307, + -0.676864021556642, + -0.7213958914853472, + -0.7729115707583366, + -0.8303360375849859, + -0.892461130575672, + -0.9579722852614784, + -1.0254775981955608, + -1.0935385372276911, + -1.1607015788365918, + -1.225530033072427, + -1.2866353141800706, + -1.342706930379499, + -1.3925404991721684, + -1.4350631440930752, + -1.469355693800542, + -1.4946711831773274, + -1.5104492467577604, + -1.5163260950586277, + -1.5121398718061294, + -1.4979313019750475, + -1.4739396542410153, + -1.4405941541051908, + -1.398501092826316, + -1.348426979729605, + -1.291278178960755, + -1.2280775540474544, + -1.1599387127317453, + -1.0880384987861254, + -1.0135884156362542, + -0.9378056876969882, + -0.8618846689227705, + -0.7869692941484597, + -0.7141272377569476, + -0.644326396882554, + -0.5784142539740703, + -0.517100597698874, + -0.46094399380076906, + -0.4103423008423943, + -0.36552742220837897, + -0.3265643779231613, + -0.29335467045408936, + -0.2656438104653789, + -0.2430327641656733, + -0.22499298605329074, + -0.21088461194286853, + -0.19997730936187197, + -0.1914732176593493, + -0.18453136006636736, + -0.17829287571201932, + -0.17190640205523092, + -0.16455293774523208, + -0.15546953254736948, + -0.14397118421182367, + -0.1294703711500759, + -0.11149371325181416, + -0.08969532949489989, + -0.06386654822261877, + -0.03394172186256741, + -3.3435443864747144e-16 + ], + [ + 0, + 0.03824997785313923, + 0.07967237669488218, + 0.12373468924870884, + 0.16980291954690388, + 0.21715976896550354, + 0.26502524506325, + 0.3125791454082412, + 0.3589848185185595, + 0.40341356927183303, + 0.4450690575505747, + 0.48321103697535783, + 0.5171777954069513, + 0.5464066901204335, + 0.570452217404972, + 0.5890011176641475, + 0.6018840913597049, + 0.609083786505037, + 0.6107388127406481, + 0.6071436379507972, + 0.5987443283775099, + 0.5861301996175258, + 0.5700215510713024, + 0.5512537576988548, + 0.5307580877654486, + 0.5095397012279858, + 0.48865335833407436, + 0.46917742996565576, + 0.45218684866274456, + 0.43872567087542474, + 0.42977993597010783, + 0.4262515054283584, + 0.4289335465168343, + 0.43848828889348285, + 0.45542763098181144, + 0.48009710672073314, + 0.5126636440762923, + 0.5531074564039143, + 0.6012183085751049, + 0.6565962941551038, + 0.7186571504273979, + 0.7866420273978817, + 0.859631517801287, + 0.9365636502679845, + 1.0162554497837082, + 1.0974275808178322, + 1.1787315112132926, + 1.2587785710500312, + 1.336170231814266, + 1.4095288985618364, + 1.4775284921914873, + 1.538924100861312, + 1.5925799989772649, + 1.6374953686160942, + 1.672827110856817, + 1.697909202027545, + 1.7122681307033831, + 1.7156340434639554, + 1.7079473287040963, + 1.6893604757314258, + 1.6602351583587671, + 1.621134605486171, + 1.5728114330122387, + 1.5161912190974427, + 1.4523522057048943, + 1.3825016010138056, + 1.3079490375115377, + 1.2300778073760608, + 1.150314548545339, + 1.070098090385208, + 0.9908481862635384, + 0.9139348611862359, + 0.8406490859505008, + 0.7721754554530836, + 0.7095674987052194, + 0.6537261829989209, + 0.6053820961547386, + 0.565081700800053, + 0.533177955398337, + 0.5098254907167314, + 0.494980420187942, + 0.4884047508979058, + 0.4896752514501908, + 0.49819652642314854, + 0.5132179471461212, + 0.5338539975097698, + 0.5591075137001869, + 0.5878952300339279, + 0.6190749910710539, + 0.6514739541284804, + 0.6839170870431152, + 0.7152552639626588, + 0.7443922770653718, + 0.7703101139955848, + 0.7920918986031462, + 0.8089419550526238, + 0.8202025309214959, + 0.8253668016142359, + 0.8240878740863945, + 0.8161836100876808, + 0.8016371953254144, + 0.7805934884567005, + 0.7533512899488858, + 0.7203517729533135, + 0.6821634138729619, + 0.6394638468954267, + 0.5930191422624638, + 0.5436610705908117, + 0.49226296360924154, + 0.4397148140620304, + 0.38689827347257516, + 0.3346622055992519, + 0.28379943580773265, + 0.23502530270918875, + 0.18895856915928103, + 0.14610518635126873, + 0.10684532889412882, + 0.07142403238137893, + 0.03994567023058725, + 0.012372405917395852, + -0.011473347300506842, + -0.03190253183291615, + -0.049349291873890214, + -0.06435733397124362, + -0.07756316709222215, + -0.08967666913513427, + -0.10145949730870842, + -0.11370191704372339, + -0.12719866665269958, + -0.14272450172035087, + -0.16101007349424634, + -0.1827187890704852, + -0.20842527807380284, + -0.23859605137469075, + -0.27357288313188144, + -0.31355937944222473, + -0.3586111168142029, + -0.40862964355463804, + -0.4633605392246847, + -0.5223956240348576, + -0.5851793040020753, + -0.6510189315507773, + -0.7190989576785501, + -0.7884985534383351, + -0.8582122878034387, + -0.9271733682797232, + -0.9942788819688837, + -1.0584164199273904, + -1.1184914280274285, + -1.1734546041511946, + -1.2223286550776418, + -1.2642337370707788, + -1.2984109317440888, + -1.3242431526289358, + -1.341272936981239, + -1.3492166503045178, + -1.3479747160859368, + -1.337637578268855, + -1.3184872067017481, + -1.290994063694307, + -1.255809560228896, + -1.2137541406028713, + -1.165801241596952, + -1.1130574740256998, + -1.0567394682089584, + -0.9981479081828302, + -0.9386393502724988, + -0.8795964782081754, + -0.8223974878576468, + -0.7683853188363666, + -0.7188374571096899, + -0.6749370220172777, + -0.6377458231542117, + -0.6081800278881606, + -0.5869890200394151, + -0.5747379558456257, + -0.5717944365700337, + -0.5783196200892144, + -0.594263988865402, + -0.6193678814163368, + -0.653166781421744, + -0.695001245696436, + -0.7440312421614494, + -0.7992545643337969, + -0.8595288922759126, + -0.9235969837442694, + -0.9901144055450946, + -1.0576791556306144, + -1.124862482687996, + -1.1902401829379616, + -1.2524236442114345, + -1.3100899153264536, + -1.3620101041273913, + -1.4070754496323636, + -1.4443204715116174, + -1.4729426721539933, + -1.4923183510881173, + -1.5020141864230887, + -1.501794340921753, + -1.4916229587859116, + -1.471662030552903, + -1.4422647149475432, + -1.4039643153744055, + -1.3574592123142466, + -1.3035941486806975, + -1.2433383508716565, + -1.177761041740698, + -1.1080049612483471, + -1.0352585547107893, + -0.9607275163067267, + -0.8856063862015738, + -0.8110508930950938, + -0.7381517104141287, + -0.6679102543980998, + -0.6012170970073858, + -0.5388334973483193, + -0.4813764739199427, + -0.42930774851126097, + -0.3829267933240835, + -0.3423681083647491, + -0.30760274896239015, + -0.2784440161172794, + -0.25455711793862945, + -0.23547251130202637, + -0.220602541509853, + -0.20926091644107123, + -0.2006844824417059, + -0.19405671374063294, + -0.18853228683540696, + -0.18326208705705926, + -0.17741798696294525, + -0.1702167454753868, + -0.16094240251121483, + -0.14896658554771244, + -0.13376620106067957, + -0.11493805359628011, + -0.0922100166122502, + -0.06544847006919519, + -0.03466181775572384, + -3.4019490672375753e-16 + ], + [ + 0, + 0.03864410426381679, + 0.08017611821398651, + 0.12402132384387476, + 0.16951481403821125, + 0.2159207053388409, + 0.26245342967724794, + 0.30830053795302875, + 0.35264640773976647, + 0.39469622235353896, + 0.43369957967512285, + 0.468973096717701, + 0.49992139980639105, + 0.5260559298030882, + 0.5470110460932321, + 0.5625569807019568, + 0.5726092732395065, + 0.5772344064075715, + 0.5766514583004504, + 0.5712296892875856, + 0.5614820853162922, + 0.5480549834073977, + 0.5317140063123463, + 0.513326629202137, + 0.4938417894379461, + 0.4742670286906363, + 0.45564372293640165, + 0.439021008458185, + 0.42542904956446653, + 0.41585231530783795, + 0.4112035374521197, + 0.41229901011787456, + 0.41983586316916643, + 0.4343718971389121, + 0.4563085083728189, + 0.48587716052093666, + 0.5231297742764527, + 0.5679333134025746, + 0.6199687438926705, + 0.6787344370557249, + 0.7435539790138702, + 0.8135882412078113, + 0.8878514616914498, + 0.965230987850449, + 1.0445102401576591, + 1.124394375942438, + 1.2035380639102942, + 1.2805747260114761, + 1.3541465645853672, + 1.4229346704867354, + 1.4856885027116076, + 1.5412540420487912, + 1.5885999502292165, + 1.6268411112545564, + 1.6552589919839495, + 1.6733183331943002, + 1.680679768418123, + 1.677208063821111, + 1.662975775883842, + 1.6382622321859721, + 1.603547851519899, + 1.5595039301871993, + 1.506978128964614, + 1.4469759972489238, + 1.3806389648207191, + 1.30921931522282, + 1.234052725901055, + 1.1565290172784013, + 1.0780617944497024, + 1.0000576901949894, + 0.9238859259212575, + 0.8508488977807164, + 0.7821544688267095, + 0.7188906053220746, + 0.6620029372740016, + 0.6122757513741478, + 0.5703168405494378, + 0.5365465403492728, + 0.5111911807221539, + 0.49428107486829254, + 0.48565305741744824, + 0.48495747485454055, + 0.49166942457399904, + 0.5051039377882417, + 0.5244347082098341, + 0.5487158852364109, + 0.5769063793042104, + 0.6078960698489507, + 0.6405332642857954, + 0.673652730578921, + 0.706103616899964, + 0.736776579740904, + 0.7646294664000313, + 0.7887109383350663, + 0.808181477416593, + 0.8223312861894762, + 0.830594674099711, + 0.8325606122205244, + 0.8279792370284913, + 0.8167641867727398, + 0.7989907593636467, + 0.7748899858444139, + 0.7448388157733892, + 0.70934670768854, + 0.6690390068400196, + 0.6246375713547967, + 0.5769391749866299, + 0.5267922679564981, + 0.475072715798857, + 0.4226591586699241, + 0.3704086397173277, + 0.31913314073953736, + 0.2695776367766907, + 0.22240023917684487, + 0.17815494016685424, + 0.1372774024796856, + 0.10007415692918564, + 0.06671548103745305, + 0.037232135195706034, + 0.011516031833517511, + -0.010675189750738131, + -0.02970981227333365, + -0.04607014108246912, + -0.06033737728772084, + -0.07317366869744626, + -0.08530181798950018, + -0.09748318939686333, + -0.11049440319616921, + -0.12510344021542075, + -0.1420457955785629, + -0.1620013215308868, + -0.1855723834044845, + -0.21326392096441543, + -0.24546596030526455, + -0.2824390603103534, + -0.3243031039640814, + -0.37102976036146623, + -0.4224388502002203, + -0.4781987482013128, + -0.5378308527771265, + -0.6007180489445474, + -0.6661169875907115, + -0.7331739053375539, + -0.800943616917727, + -0.8684112285104592, + -0.9345160480153142, + -0.9981771086186553, + -1.0583196767678247, + -1.1139020859925701, + -1.1639422246963471, + -1.207543009470216, + -1.243916195631098, + -1.2724039131091653, + -1.292497367655761, + -1.3038522133769872, + -1.30630018122754, + -1.2998566374164608, + -1.2847238435037047, + -1.2612897939105452, + -1.2301226140774313, + -1.1919606109360557, + -1.1476981740454546, + -1.0983678280399023, + -1.0451188324172587, + -0.9891928107938719, + -0.9318969664243137, + -0.8745755021665758, + -0.8185799096262073, + -0.7652388227579142, + -0.7158281449549817, + -0.6715421552415501, + -0.6334662786472961, + -0.6025521686571605, + -0.5795956966673026, + -0.5652183759088852, + -0.5598526669461793, + -0.5637315205558906, + -0.5768824137611268, + -0.5991260284525111, + -0.6300796119632512, + -0.6691649478497523, + -0.7156207556665924, + -0.7685192333771009, + -0.8267863577654446, + -0.889225469202747, + -0.9545435895307748, + -1.021379857544618, + -1.0883354171375204, + -1.1540040598078287, + -1.2170029067192343, + -1.2760024162354144, + -1.3297550207825404, + -1.3771217315689483, + -1.4170961002424705, + -1.448824991736572, + -1.4716257007327596, + -1.4849990334190768, + -1.488638074353454, + -1.4824324628322867, + -1.4664681116500735, + -1.4410224108547063, + -1.4065550673688638, + -1.3636948355149807, + -1.31322249100939, + -1.2560504895084061, + -1.1931998281499911, + -1.1257746928732424, + -1.0549355240728984, + -0.9818711671791125, + -0.9077707922566318, + -0.833796267315105, + -0.7610556537554828, + -0.6905784597053274, + -0.6232932387828755, + -0.5600080593229662, + -0.5013942938969471, + -0.44797409297381235, + -0.4001118119751123, + -0.3580095601547148, + -0.32170693521921206, + -0.29108490201428366, + -0.2658736695769834, + -0.24566432098897445, + -0.22992385724708259, + -0.2180132321103367, + -0.20920788167311435, + -0.20272019205824288, + -0.1977233026029295, + -0.19337561134362924, + -0.18884533522366814, + -0.18333447957297455, + -0.17610158995124284, + -0.16648269390120088, + -0.15390988962498098, + -0.13792710179591117, + -0.1182026000282215, + -0.09453796102343869, + -0.06687324891522245, + -0.03528828746502289, + -3.450371853507737e-16 + ], + [ + 0, + 0.03891351600926102, + 0.08041447324695952, + 0.12389265666758355, + 0.16865936357384087, + 0.2139674276734061, + 0.25903297216278937, + 0.30305831135917594, + 0.3452553892782781, + 0.3848691280972968, + 0.42120006005431226, + 0.45362563302157555, + 0.4816196123481209, + 0.5047690487997869, + 0.5227883433597056, + 0.5355300127710689, + 0.5429918431795289, + 0.5453202109750649, + 0.5428094476418561, + 0.5358972266454249, + 0.525156052572743, + 0.5112810333180495, + 0.49507421253560746, + 0.47742582942044615, + 0.459292953849646, + 0.441676014957704, + 0.42559379853698237, + 0.4120575317696628, + 0.40204470158404454, + 0.3964732646388782, + 0.3961769022275809, + 0.40188195232115104, + 0.41418661400380086, + 0.43354296756477867, + 0.46024228773545434, + 0.49440404958985434, + 0.5359689383534271, + 0.5846960779428885, + 0.6401645908505085, + 0.7017794964988202, + 0.7687818490228725, + 0.8402629112056493, + 0.915182061574707, + 0.9923880389347906, + 1.0706430451650415, + 1.1486491550286604, + 1.2250764228294893, + 1.2985920314845922, + 1.3678898010871552, + 1.4317193620462343, + 1.4889143027402865, + 1.5384186232281254, + 1.579310864429835, + 1.6108253354272575, + 1.6323699288665092, + 1.643540094253771, + 1.6441286292928683, + 1.6341310481309665, + 1.61374639006244, + 1.583373440348032, + 1.5436024437089275, + 1.49520249810454, + 1.4391049189944416, + 1.376382959923019, + 1.3082283616241885, + 1.2359252768239215, + 1.1608221797002403, + 1.084302416046902, + 1.007754081441698, + 0.932539929394502, + 0.8599680092017742, + 0.7912637141354262, + 0.727543885129807, + 0.669793564186515, + 0.618845926556319, + 0.5753658429920006, + 0.5398374349127705, + 0.512555888358189, + 0.4936236895202522, + 0.4829513379568901, + 0.48026248592313164, + 0.48510334624202084, + 0.4968561093653606, + 0.5147560152247678, + 0.5379116394566159, + 0.565327878683714, + 0.5959310575573138, + 0.6285955326885267, + 0.6621711365532497, + 0.6955107886780089, + 0.7274976022417025, + 0.7570708315838274, + 0.7832500395097405, + 0.8051569118467565, + 0.8220342091779688, + 0.8332614204670986, + 0.83836676848979, + 0.8370353104524074, + 0.8291129765557371, + 0.8146064920541053, + 0.7936792319962473, + 0.7666431597240466, + 0.7339470978089688, + 0.6961616709962233, + 0.6539613426484429, + 0.6081040371077506, + 0.5594088985800775, + 0.5087327811630745, + 0.4569460934209713, + 0.4049086337715287, + 0.35344604960751286, + 0.30332753365025616, + 0.2552453360515843, + 0.20979662113843622, + 0.16746813471396657, + 0.12862407310617088, + 0.09349746060012701, + 0.06218524965785555, + 0.03464726076746008, + 0.010708978349457245, + -0.00993188156753646, + -0.02769521465171131, + -0.043105059014153006, + -0.05677317643822266, + -0.06938012438916201, + -0.08165432506636945, + -0.09434969075860729, + -0.10822240344057318, + -0.12400746991611837, + -0.14239568126257773, + -0.16401159665650686, + -0.18939314706387234, + -0.21897341435886125, + -0.2530650871828424, + -0.2918480276181642, + -0.33536030420858187, + -0.3834929589735023, + -0.4359886810392706, + -0.4924444597321946, + -0.552318187953016, + -0.6149390849498487, + -0.6795217087914189, + -0.7451832354121478, + -0.8109635954224942, + -0.8758479841300006, + -0.938791196331963, + -0.9987431870610003, + -1.0546752238963915, + -1.105605976637109, + -1.1506268866153175, + -1.188926170855152, + -1.2198108453847445, + -1.2427261966197705, + -1.2572721887972982, + -1.2632163675302979, + -1.2605029029298611, + -1.2492575083737334, + -1.2297880706216666, + -1.2025809311475884, + -1.1682928647145503, + -1.127738906745231, + -1.0818762833326725, + -1.0317847942614735, + -0.9786440877749218, + -0.9237083438310815, + -0.8682789482945644, + -0.8136757922639052, + -0.7612078672318571, + -0.7121438470846336, + -0.6676833515309317, + -0.628929572287431, + -0.5968639135228435, + -0.5723232523742227, + -0.5559803648830073, + -0.5483279889053608, + -0.5496669102103335, + -0.5600983631546297, + -0.5795209353124817, + -0.6076320587195828, + -0.6439340615544125, + -0.6877446457751556, + -0.7382115510902093, + -0.7943310662232178, + -0.8549699571576878, + -0.9188903011311357, + -0.9847766465598267, + -1.0512648644759433, + -1.11697201777073, + -1.180526551504488, + -1.2405981013151928, + -1.2959262276664156, + -1.3453474110433519, + -1.3878196865453396, + -1.4224443545563294, + -1.4484842758599614, + -1.46537834293273, + -1.4727518121435723, + -1.4704222819232244, + -1.4584012071775245, + -1.4368909477251113, + -1.4062774557089872, + -1.3671188111432953, + -1.320129913468677, + -1.2661637277991724, + -1.206189565247032, + -1.1412689453586846, + -1.0725296436362135, + -1.0011385670458104, + -0.9282741243933682, + -0.8550987659386643, + -0.7827323574931977, + -0.7122270287836102, + -0.6445440947473141, + -0.580533592730245, + -0.5209169097077786, + -0.4662728934015916, + -0.4170277515488879, + -0.37344894685535673, + -0.3356431937605098, + -0.30355855960580075, + -0.2769905697112665, + -0.25559211580806385, + -0.23888687273360226, + -0.22628584162136497, + -0.21710656115640867, + -0.2105944637125024, + -0.20594580192927225, + -0.2023315347781387, + -0.19892154128329012, + -0.19490852529439742, + -0.1895309861324879, + -0.18209465722408982, + -0.17199185727860125, + -0.1587182550471889, + -0.14188661777474385, + -0.12123719335064137, + -0.09664446484037323, + -0.06812011128042768, + -0.035812107922693376, + -3.4881140637551027e-16 + ], + [ + 0, + 0.03905381506809225, + 0.08038224079099426, + 0.12334641525807938, + 0.16724095983711526, + 0.21131459815714787, + 0.2547921518350437, + 0.29689732498817384, + 0.3368756678463906, + 0.3740171036743186, + 0.40767741290984916, + 0.43729809368852907, + 0.46242405813592213, + 0.48271867797363144, + 0.49797575974991815, + 0.5081281077044758, + 0.513252418963526, + 0.5135703492619194, + 0.5094456853549072, + 0.5013776602493192, + 0.4899905468335248, + 0.47601976190774076, + 0.46029480357252645, + 0.44371942811754944, + 0.42724954584915315, + 0.4118693768313877, + 0.39856645570891147, + 0.3883061083797786, + 0.3820060414017523, + 0.3805116871423406, + 0.3845729337129665, + 0.39482283895536263, + 0.4117588828616806, + 0.4357272538750101, + 0.4669105929520383, + 0.5053195368097322, + 0.5507883104330223, + 0.6029745209255283, + 0.6613632025452945, + 0.725275058797904, + 0.7938787443240953, + 0.8662069295669524, + 0.9411757973054911, + 1.0176075344280773, + 1.0942553069242702, + 1.1698301428806428, + 1.2430290988608435, + 1.3125640506816594, + 1.3771904311460363, + 1.4357352352515869, + 1.4871236278466806, + 1.5304035193381982, + 1.5647675211496597, + 1.5895717530892692, + 1.6043510481639798, + 1.6088301848989057, + 1.6029308708469348, + 1.586774301431835, + 1.5606792231207658, + 1.5251555366206677, + 1.4808935817426385, + 1.428749348201259, + 1.369725953414527, + 1.304951816989238, + 1.2356560398608167, + 1.1631415621031354, + 1.0887567256299893, + 1.0138659051117327, + 0.9398198915346357, + 0.8679267174349927, + 0.7994236008476018, + 0.7354506567278628, + 0.677026980746064, + 0.6250296520002984, + 0.5801761297931177, + 0.5430104369279888, + 0.5138934300397627, + 0.4929973585390985, + 0.4803048102520089, + 0.47561203630936655, + 0.47853654286983144, + 0.48852873540798647, + 0.50488730505111, + 0.5267779581444039, + 0.5532550120070431, + 0.5832853135993606, + 0.6157738851449044, + 0.6495906628927489, + 0.6835976730497965, + 0.7166759829545685, + 0.7477517758973858, + 0.7758209243071298, + 0.7999714776188268, + 0.8194035369280211, + 0.833446057098187, + 0.8415701965728632, + 0.8433989237424668, + 0.8387126840951394, + 0.8274510321461864, + 0.8097102337931674, + 0.7857369457430637, + 0.7559181764861231, + 0.7207678255140808, + 0.6809101818098046, + 0.6370608369840494, + 0.5900055309695986, + 0.5405774973692024, + 0.48963391019375635, + 0.43803205298994863, + 0.38660583479738164, + 0.3361432649467047, + 0.28736547076330776, + 0.24090779951512956, + 0.1973034895479185, + 0.15697032693827237, + 0.12020062492084584, + 0.08715477582935924, + 0.05785853155961045, + 0.03220407099965626, + 0.009954813954997338, + -0.009246156664857097, + -0.025864296757972874, + -0.04045874750246377, + -0.053664826698199546, + -0.06617433484764608, + -0.07871420335587544, + -0.09202405622462197, + -0.10683328597119128, + -0.12383825846485084, + -0.143680259573372, + -0.16692477897987804, + -0.194042693690576, + -0.22539386641867454, + -0.2612136133760181, + -0.30160242354520084, + -0.3465192290538402, + -0.39577843589524647, + -0.4490508282044559, + -0.5058683600193653, + -0.5656327484327612, + -0.6276276837945847, + -0.6910343786368556, + -0.754950089645967, + -0.8184091685164654, + -0.8804061298875543, + -0.9399201695208036, + -0.9959405248467943, + -1.0474920440633604, + -1.093660319808923, + -1.1336157493680001, + -1.1666359052989708, + -1.1921256378141625, + -1.2096343823092846, + -1.2188702108874776, + -1.2197102439711562, + -1.212207125264096, + -1.196591358287862, + -1.1732694031435011, + -1.1428175355736356, + -1.1059715742739207, + -1.0636126841620466, + -1.0167495604395949, + -0.9664973883685972, + -0.914054054491424, + -0.8606741545348625, + -0.807641399716901, + -0.7562400651957243, + -0.7077261508967904, + -0.6632989352371598, + -0.6240735960467173, + -0.5910555503788175, + -0.5651171264261289, + -0.5469771273204381, + -0.5371837794746498, + -0.5361014789364917, + -0.5439016598786058, + -0.5605580120126195, + -0.5858461707466093, + -0.6193478978073553, + -0.6604596634003334, + -0.708405436376042, + -0.7622533888561829, + -0.8209361287816394, + -0.8832739901381064, + -0.9480008382303281, + -1.0137917880701026, + -1.079292189154114, + -1.1431472007178087, + -1.2040312686599033, + -1.2606768190401025, + -1.3119015032531183, + -1.3566333661659962, + -1.3939333597716081, + -1.4230146899894172, + -1.4432585615288087, + -1.4542259733158127, + -1.4556653127169765, + -1.4475155983229082, + -1.4299053258884333, + -1.403146977598834, + -1.367727358560603, + -1.3242940237685454, + -1.2736381513589756, + -1.216674301472794, + -1.1544175725008665, + -1.0879587261223218, + -1.0184378979485003, + -0.9470175406792442, + -0.8748552607724869, + -0.8030772074274254, + -0.7327526542939317, + -0.6648703802545185, + -0.6003174067749806, + -0.5398605869450326, + -0.4841314670218468, + -0.43361475693135354, + -0.3886406539031681, + -0.3493811655356901, + -0.31585047756289986, + -0.28790930995120506, + -0.2652731052301602, + -0.2475237976390073, + -0.23412482312029087, + -0.2244389506068459, + -0.21774844639563917, + -0.21327702737026819, + -0.2102130167936435, + -0.20773308936107793, + -0.20502598082153511, + -0.20131554198785329, + -0.19588253721317442, + -0.18808462286352254, + -0.1773739910381213, + -0.16331222649471205, + -0.14558199881779535, + -0.12399529542981233, + -0.09849799195903601, + -0.06917065243044221, + -0.03622555029930318, + -3.5146057292891057e-16 + ], + [ + 0, + 0.039062067841347706, + 0.08007718308179203, + 0.12238474592874372, + 0.1652697486108499, + 0.2079837743581933, + 0.2497670221791837, + 0.2898707677503502, + 0.3275796582248054, + 0.3622332417018111, + 0.3932461504238117, + 0.420126390031041, + 0.44249123458321105, + 0.460080287372539, + 0.4727653392952648, + 0.4805567379233736, + 0.4836060693833833, + 0.48220504947012366, + 0.4767806177278257, + 0.46788632606737285, + 0.4561902093886708, + 0.44245941721656656, + 0.42754197021835233, + 0.41234608149461416, + 0.3978175477840865, + 0.3849157685242845, + 0.3745889896980717, + 0.3677493935494929, + 0.36524866391623595, + 0.3678546498323652, + 0.3762297273274683, + 0.3909114215011548, + 0.41229579887690726, + 0.44062407498483075, + 0.4759728056628697, + 0.5182479445617053, + 0.56718295589228, + 0.6223410728587115, + 0.6831216908981492, + 0.7487707833007172, + 0.8183951275161173, + 0.8909800359265904, + 0.965410197424856, + 1.0404931579559995, + 1.1149849012156068, + 1.1876169366213272, + 1.257124261855364, + 1.322273542726259, + 1.3818908444604683, + 1.4348882560579044, + 1.4802887728838294, + 1.5172488416813004, + 1.5450780257519143, + 1.5632553148872415, + 1.5714416831311544, + 1.569488585718273, + 1.5574421824283926, + 1.5355431757945046, + 1.5042222566443166, + 1.464091253812147, + 1.4159301869904692, + 1.360670519112384, + 1.299374994996322, + 1.2332145340436267, + 1.163442714586533, + 1.0913684443418845, + 1.01832745395554, + 0.9456532777951822, + 0.8746483973133644, + 0.8065562171978408, + 0.7425345232911599, + 0.6836310344294421, + 0.6307616088360722, + 0.5846916007834554, + 0.5460207865059771, + 0.5151721916985269, + 0.4923850584968614, + 0.4777120899266652, + 0.47102100687617443, + 0.47200034921221207, + 0.48016935124932536, + 0.49489162487044075, + 0.5153922935442219, + 0.5407781394755024, + 0.5700602561203264, + 0.6021786409813537, + 0.6360281203416078, + 0.6704849694144299, + 0.7044335789306454, + 0.7367925227064444, + 0.7665394000981237, + 0.7927338619222061, + 0.8145382774936116, + 0.8312355626480533, + 0.8422437623826855, + 0.8471270652032874, + 0.8456030173030668, + 0.8375458010301198, + 0.8229855413138989, + 0.8021037033358109, + 0.7752247422609191, + 0.7428042588696065, + 0.7054140011307138, + 0.6637241290067603, + 0.6184832261710754, + 0.5704965962148464, + 0.5206034210134916, + 0.46965338423856623, + 0.41848337294746496, + 0.3678948645481975, + 0.31863258540138806, + 0.27136499145288095, + 0.22666707152598017, + 0.18500591152807008, + 0.14672938444270045, + 0.11205824846066359, + 0.0810818460552199, + 0.0537575025051879, + 0.02991362571068888, + 0.009256412582898938, + -0.008620026729668603, + -0.024220404606192836, + -0.03813221144095629, + -0.051007323223096306, + -0.0635417551098384, + -0.07645410375430649, + -0.09046325609332043, + -0.10626596243527162, + -0.12451487649204124, + -0.14579765433683314, + -0.17061767839620517, + -0.1993769321372304, + -0.23236149709499657, + -0.26973007764950785, + -0.31150588216146585, + -0.35757210363822356, + -0.40767115116893665, + -0.461407687252463, + -0.5182554282623667, + -0.5775675681180061, + -0.6385905912132052, + -0.700481152173724, + -0.7623256193160868, + -0.8231618078174922, + -0.8820023693909786, + -0.9378592592155759, + -0.9897686691954639, + -1.036815800155783, + -1.0781588447888812, + -1.1130515681156838, + -1.1408639026028247, + -1.1611000201719586, + -1.1734134020798868, + -1.1776184986213738, + -1.1736986520879347, + -1.1618100464174588, + -1.1422815432873092, + -1.1156103646717086, + -1.0824536836338075, + -1.0436162858425955, + -1.0000345615035502, + -0.9527571786602826, + -0.902922871894353, + -0.8517358532519093, + -0.8004394129382383, + -0.750288324418511, + -0.7025207008517698, + -0.6583299664352257, + -0.6188376067998304, + -0.5850673470245179, + -0.5579213744700494, + -0.538159177207899, + -0.5263795084396424, + -0.52300591441649, + -0.5282761797344658, + -0.542235951521015, + -0.564736705182694, + -0.5954381114508066, + -0.6338147599444233, + -0.6791670909104863, + -0.7306362867189885, + -0.7872227805236999, + -0.8478079535379103, + -0.9111785167115883, + -0.9760530090714816, + -1.0411097951412023, + -1.1050159089021379, + -1.1664560725308128, + -1.2241612151114694, + -1.2769358297353282, + -1.323683536522815, + -1.3634302634162156, + -1.395344514989484, + -1.4187542705678349, + -1.4331601348919587, + -1.4382444553847868, + -1.4338762175522641, + -1.420111631782752, + -1.3971904283105112, + -1.365527979845842, + -1.325703470839099, + -1.2784444261138643, + -1.2246079973963548, + -1.1651594820042332, + -1.1011486118104543, + -1.0336842010349026, + -0.9639077772405718, + -0.8929668402864216, + -0.8219883984639687, + -0.7520534195604401, + -0.6841728074838345, + -0.6192654730760327, + -0.5581390119177758, + -0.5014734337222682, + -0.4498083090539418, + -0.4035336115879819, + -0.3628844401469842, + -0.3279397066714913, + -0.2986247765556176, + -0.2747179488976423, + -0.25586056864138007, + -0.24157047269312706, + -0.23125839011966823, + -0.22424684449175042, + -0.21979104610894296, + -0.217101214703865, + -0.21536574042163661, + -0.21377457318858367, + -0.21154222842702725, + -0.20792981045514555, + -0.20226548345754475, + -0.19396286286845338, + -0.1825368562602337, + -0.16761655092722863, + -0.1489548235555517, + -0.1264344336775795, + -0.1000704548283716, + -0.07000899310595028, + -0.036522239756476296, + -3.529409329030155e-16 + ], + [ + 0, + 0.03893680812818524, + 0.07949999039598225, + 0.12101410022679125, + 0.16276140015128954, + 0.20400302958757632, + 0.24400085237021013, + 0.28203939818336743, + 0.3174473084986028, + 0.34961770919342655, + 0.37802695845372997, + 0.40225125918727617, + 0.4219806789852135, + 0.43703018631908563, + 0.44734738750786524, + 0.45301673313040364, + 0.4542600528796246, + 0.45143337208375606, + 0.4450200588833673, + 0.4356204459351393, + 0.42393816211659313, + 0.4107634957109579, + 0.39695418877484046, + 0.38341413084114434, + 0.3710704770346407, + 0.3608497596115702, + 0.3536535917335891, + 0.3503345771572362, + 0.35167303904116215, + 0.35835516520527194, + 0.37095313626325926, + 0.3899077578131891, + 0.41551405938883296, + 0.4479102525585739, + 0.4870703601177546, + 0.5328007397188278, + 0.584740630693257, + 0.6423667545651287, + 0.7050019002602491, + 0.7718273267337259, + 0.8418987211066425, + 0.9141653617662603, + 0.9874920554489387, + 1.0606833470971797, + 1.132509443020433, + 1.201733243060322, + 1.267137847203055, + 1.327553887176209, + 1.3818860344184047, + 1.4291380524360302, + 1.4684357935904173, + 1.4990475870418956, + 1.520401524802843, + 1.5320992251750274, + 1.5339257355232427, + 1.5258553273675446, + 1.5080530339531852, + 1.48087188142105, + 1.4448458669973825, + 1.4006788387610671, + 1.3492295290675989, + 1.2914930852365185, + 1.2285795244148094, + 1.1616896125844256, + 1.092088728710499, + 1.0210793225446764, + 0.9499726074534196, + 0.8800601470407358, + 0.8125859958643629, + 0.7487200401779426, + 0.68953315473261, + 0.6359747469831517, + 0.5888532016713266, + 0.5488196681417102, + 0.5163555516208741, + 0.4917639800529153, + 0.4751654221325945, + 0.4664975322639275, + 0.46551919674252046, + 0.47181865499384446, + 0.48482547264886006, + 0.5038260519669686, + 0.5279822818420106, + 0.5563528563673068, + 0.587916729457412, + 0.6215981248011572, + 0.6562924865965274, + 0.690892737879937, + 0.7243152102210462, + 0.7555246211338821, + 0.7835575033948569, + 0.807543532820086, + 0.8267242568436114, + 0.8404687940289485, + 0.8482861527201268, + 0.8498339034244704, + 0.8449230320460042, + 0.8335188974361711, + 0.8157383144881798, + 0.791842880734287, + 0.7622287577036512, + 0.7274132058453389, + 0.6880182514480788, + 0.644751933729132, + 0.5983876384037554, + 0.5497420691620833, + 0.4996524394780524, + 0.4489534833167282, + 0.3984548842268281, + 0.34891970802091843, + 0.3010443951544301, + 0.2554408257847028, + 0.21262091444211523, + 0.17298412371948793, + 0.13680820911191258, + 0.10424342208863839, + 0.07531030781676401, + 0.04990113998708022, + 0.027784940301010187, + 0.00861593677074422, + -0.008054774569674317, + -0.022764683376756942, + -0.036122828163439084, + -0.04879072800063004, + -0.06146179509498128, + -0.07483978069427416, + -0.0896168327128613, + -0.10645175457529393, + -0.12594905075468685, + -0.14863932542256197, + -0.17496156699691834, + -0.20524780401042927, + -0.23971055780293363, + -0.2784334465710336, + -0.32136521506151317, + -0.36831737668919917, + -0.4189655622933117, + -0.4728545744495846, + -0.5294070506305485, + -0.5879355449676025, + -0.6476577492818224, + -0.7077144916742896, + -0.7671900773952204, + -0.8251344738219788, + -0.8805867907829869, + -0.9325994704766001, + -0.9802625788232, + -1.022727582863987, + -1.0592300070129983, + -1.0891103844263663, + -1.1118329579408601, + -1.127001637049839, + -1.134372781979874, + -1.1338644615406843, + -1.1255619162023498, + -1.1097190497324025, + -1.0867558694460366, + -1.057251894304466, + -1.0219356492924327, + -0.9816704612630027, + -0.9374368633583086, + -0.8903119999154975, + -0.8414464993354208, + -0.7920393468393399, + -0.743311340748282, + -0.6964777535841392, + -0.652720841948107, + -0.6131628561862623, + -0.5788401920917599, + -0.5506793024957943, + -0.5294749471270012, + -0.5158713055044554, + -0.5103464111553239, + -0.513200287713555, + -0.5245470803388714, + -0.5443113815054558, + -0.5722288508376824, + -0.6078511267304464, + -0.6505549254635536, + -0.6995551238861758, + -0.7539215269346372, + -0.8125989335631865, + -0.8744300362483892, + -0.9381806219813585, + -1.0025664882239973, + -1.0662814469971393, + -1.1280257650654817, + -1.1865343786926321, + -1.2406042278795102, + -1.2891200772023192, + -1.3310782277763504, + -1.3656075765626299, + -1.3919875439292684, + -1.4096624664849409, + -1.418252137846957, + -1.4175582730873442, + -1.407566770834662, + -1.3884457479904775, + -1.3605394232773107, + -1.3243580248961206, + -1.2805639920206735, + -1.2299548273952698, + -1.1734430368073672, + -1.1120336587795367, + -1.0467999428406607, + -0.9788577758814407, + -0.9093394824059178, + -0.8393676353580614, + -0.7700295094125913, + -0.7023527883408869, + -0.6372831028472413, + -0.575663926037297, + -0.5182192916933511, + -0.46553972736767646, + -0.41807171181523983, + -0.37611087654912945, + -0.3397990765682171, + -0.30912535794873, + -0.2839307524410079, + -0.2639167339007608, + -0.24865708068004985, + -0.2376128042568882, + -0.23014972946755002, + -0.22555824756893308, + -0.22307471157335357, + -0.22190390512677274, + -0.2212419925625551, + -0.22029934921010702, + -0.2183226777458922, + -0.21461583813552204, + -0.20855885494502238, + -0.19962461554987507, + -0.187392834757277, + -0.17156093398945363, + -0.1519515645980401, + -0.12851659301647803, + -0.10133745806757871, + -0.07062190547477662, + -0.03669719907463587, + -3.5322219796025685e-16 + ], + [ + 0, + 0.038678023513502545, + 0.07865421339403486, + 0.11924507462750672, + 0.15973682086161817, + 0.19940650572490226, + 0.23754349615365727, + 0.27347071104392623, + 0.3065650536002017, + 0.3362764854926618, + 0.3621452248734253, + 0.383816597594478, + 0.4010531304334934, + 0.41374354527908014, + 0.4219083922939698, + 0.42570214607666923, + 0.4254116796155662, + 0.4214511240879347, + 0.41435321594743285, + 0.4047573239083023, + 0.39339443506536215, + 0.3810694592886871, + 0.36864128216805986, + 0.357001057338363, + 0.34704927743794767, + 0.3396721979834189, + 0.33571820916437534, + 0.33597475640449664, + 0.3411464013055998, + 0.3518345904694536, + 0.36851966123078694, + 0.39154556144540303, + 0.42110769640759727, + 0.4572442412752805, + 0.49983117388131787, + 0.5485811925506825, + 0.6030465887427311, + 0.662626047331614, + 0.726575250520985, + 0.794021067157762, + 0.8639790199011331, + 0.9353736405377124, + 1.0070612507605425, + 1.0778546437741157, + 1.146549092707221, + 1.211949076260354, + 1.272895091196183, + 1.328289915750307, + 1.3771236979697274, + 1.4184972681724675, + 1.451643114582154, + 1.4759435147832016, + 1.4909453816836618, + 1.4963714595745976, + 1.4921275917791041, + 1.4783058742100015, + 1.4551836066499213, + 1.4232180533616372, + 1.3830371243023623, + 1.3354261853270686, + 1.2813112979575705, + 1.2217392743202962, + 1.1578550086452215, + 1.0908766114257726, + 1.022068924390079, + 0.9527160325630125, + 0.8840934129821681, + 0.8174403675088103, + 0.7539333794640611, + 0.6946610107195815, + 0.6406009179561922, + 0.5925995150108816, + 0.551354743839256, + 0.5174023412110554, + 0.4911059036835061, + 0.4726509617363231, + 0.4620431774495568, + 0.45911068112373227, + 0.4635104632007218, + 0.4747386411614683, + 0.4921443291092192, + 0.5149467527308461, + 0.542255176325916, + 0.5730911434399512, + 0.6064124799007196, + 0.6411384689919198, + 0.6761755840252003, + 0.7104431542455024, + 0.7428983460079246, + 0.7725598622994585, + 0.7985297993755597, + 0.8200131486103944, + 0.8363344933564304, + 0.8469515231061665, + 0.8514650687146548, + 0.849625450826207, + 0.8413350267356194, + 0.8266469163749356, + 0.8057599835690984, + 0.7790102417712894, + 0.7468589418595378, + 0.7098776810604958, + 0.6687309446508448, + 0.6241565539845598, + 0.5769445440886422, + 0.5279150303523854, + 0.4778956458347349, + 0.4276991379188271, + 0.3781017053117045, + 0.32982263395396844, + 0.28350575387066246, + 0.23970318931521828, + 0.19886181301571643, + 0.1613127435059468, + 0.12726414424787502, + 0.09679749657246628, + 0.0698674275865164, + 0.046305081421680924, + 0.025824929891565724, + 0.008034829113341255, + -0.007550955790260642, + -0.021496113025380906, + -0.034424456682817905, + -0.0470003898782241, + -0.059908183677286606, + -0.0738306283635979, + -0.0894276306834984, + -0.1073153330577153, + -0.12804631831443342, + -0.15209143657543414, + -0.17982375018431787, + -0.2115050390202725, + -0.24727524353244684, + -0.287145147988698, + -0.3309925236374878, + -0.3785618628146824, + -0.429467742719899, + -0.4832017639665382, + -0.5391429164389243, + -0.5965711358095379, + -0.6546837305385311, + -0.7126142834182876, + -0.7694535656680661, + -0.8242719469191643, + -0.8761427425684476, + -0.9241659120091452, + -0.9674915079188325, + -1.0053422784772148, + -1.0370348411085186, + -1.0619988777270235, + -1.0797938467756063, + -1.0901227655030412, + -1.0928426855208342, + -1.087971564021376, + -1.0756913201865665, + -1.0563469591319266, + -1.0304417419318752, + -0.9986284774846748, + -0.9616971077972456, + -0.9205588503266194, + -0.8762272470201518, + -0.8297965475095688, + -0.7824179215911279, + -0.735274051968747, + -0.6895527008409106, + -0.6464198721909863, + -0.6069932048612114, + -0.5723162292897307, + -0.543334103182859, + -0.5208714087763671, + -0.5056125474741792, + -0.4980852076564349, + -0.49864730976126737, + -0.5074777510947381, + -0.5245711831866495, + -0.5497369590598629, + -0.5826022888356, + -0.622619542062877, + -0.6690775364712194, + -0.721116557905247, + -0.7777467673201811, + -0.8378695700639547, + -0.9003014522089715, + -0.963799730139656, + -1.027089614375293, + -1.0888919578084566, + -1.1479510429123487, + -1.203061762388251, + -1.2530955631792098, + -1.2970245543800238, + -1.3339432245674008, + -1.3630872723475391, + -1.3838491240360653, + -1.3957897926233944, + -1.398646820567433, + -1.3923381433270623, + -1.3769618085927973, + -1.352791585486602, + -1.3202685961646845, + -1.2799891968707775, + -1.2326894242495319, + -1.1792264034842723, + -1.1205571856155152, + -1.0577155405197498, + -0.9917872780659782, + -0.9238847018293815, + -0.855120816687995, + -0.7865839132889196, + -0.7193131387536038, + -0.654275634482057, + -0.592345779265693, + -0.5342870202281649, + -0.48073670680341163, + -0.4321942657353492, + -0.3890129698906479, + -0.3513954626551265, + -0.31939310511502195, + -0.2929091174693553, + -0.27170539156557677, + -0.2554127604492342, + -0.24354442562714726, + -0.2355121654707706, + -0.23064488073808304, + -0.22820897722537017, + -0.22743004244148532, + -0.2275152439696188, + -0.22767586253876457, + -0.22714937309642766, + -0.22522050230890847, + -0.2212407204967225, + -0.2146456692598803, + -0.20497008183854584, + -0.1918598201538681, + -0.17508072876883587, + -0.1545240897537619, + -0.13020855150387642, + -0.10227849667465584, + -0.07099890723616285, + -0.036746875846970325, + -3.5228760736007046e-16 + ], + [ + 0, + 0.03828712550982384, + 0.07754616413760493, + 0.11709220580844178, + 0.15622181019314754, + 0.1942339043322352, + 0.23045069605110405, + 0.26423804067438517, + 0.29502471178776535, + 0.3223200541578798, + 0.34572953772397763, + 0.3649677847989057, + 0.37986870692773894, + 0.3903924616359319, + 0.39662902070085576, + 0.39879822855286534, + 0.39724631976375385, + 0.3924389560328083, + 0.3849509333239018, + 0.37545279655816827, + 0.364694680326833, + 0.35348776739772003, + 0.3426838204776433, + 0.33315329512973035, + 0.325762581576962, + 0.3213509493108981, + 0.32070778026708907, + 0.3245506734826445, + 0.33350498663974004, + 0.3480853481106597, + 0.3686796278015693, + 0.39553579732889443, + 0.4287520412518073, + 0.46827040290300376, + 0.513874162720725, + 0.5651890559907468, + 0.6216883427984623, + 0.6827016480913848, + 0.7474273964093178, + 0.814948576367738, + 0.8842514866035255, + 0.9542470396888365, + 1.0237941353688955, + 1.091724561018394, + 1.1568688367893616, + 1.2180823965720315, + 1.2742714842956062, + 1.3244181485816398, + 1.3676037372820224, + 1.403030326569131, + 1.4300395662200773, + 1.4481284824315217, + 1.4569618504830737, + 1.4563808301238628, + 1.4464076447390786, + 1.4272461790225606, + 1.399278466762381, + 1.3630571380825458, + 1.3192939916962365, + 1.2688449500708776, + 1.2126917416325362, + 1.1519207321452891, + 1.0876993952892298, + 1.0212509685750175, + 0.9538278837076327, + 0.8866845893030996, + 0.8210503977726392, + 0.7581029868864045, + 0.6989431700537898, + 0.6445715181205955, + 0.595867370257699, + 0.5535707134159683, + 0.5182673402768342, + 0.4903776163456296, + 0.47014909976013164, + 0.45765316465403433, + 0.4527856827940071, + 0.4552717210501181, + 0.46467411643502815, + 0.48040569829380353, + 0.5017448409859235, + 0.5278539521676266, + 0.5578004334491812, + 0.5905795934144663, + 0.62513894910819, + 0.6604033221582697, + 0.6953001204001368, + 0.7287841955371487, + 0.7598616819678458, + 0.7876122510288002, + 0.8112092577764641, + 0.829937312958503, + 0.84320687959116, + 0.8505655698744338, + 0.8517059021199684, + 0.8464693668306029, + 0.8348467438169435, + 0.8169747059500662, + 0.7931288374964744, + 0.7637132836673641, + 0.7292473308405819, + 0.6903492918329629, + 0.6477181357669693, + 0.6021133558899913, + 0.5543336098551583, + 0.5051946944661164, + 0.45550743007513006, + 0.40605602841353977, + 0.35757750170141445, + 0.3107426408680867, + 0.26613904740838623, + 0.22425664792409009, + 0.18547605418321772, + 0.15006005626610638, + 0.11814845397624686, + 0.08975634427216127, + 0.06477589224497804, + 0.042981522413831894, + 0.02403837813835782, + 0.007513812008045932, + -0.007108408686923662, + -0.020411567875480745, + -0.03302758509925205, + -0.045617214572590034, + -0.05884939146391366, + -0.07338028064358737, + -0.08983259158190286, + -0.10877571704593095, + -0.13070723287958277, + -0.1560362619617526, + -0.18506915827621617, + -0.21799790807462502, + -0.25489157584904637, + -0.29569104499283766, + -0.3402072185753824, + -0.38812275671375646, + -0.4389973358343027, + -0.492276323981096, + -0.5473026775498404, + -0.6033317806528905, + -0.6595488708900517, + -0.7150886265813913, + -0.7690564322683207, + -0.820550793004603, + -0.8686863348399761, + -0.9126168098185573, + -0.9515575192961525, + -0.9848065795854936, + -1.0117644786599824, + -1.0319514113150634, + -1.0450219318834155, + -1.0507765270803182, + -1.0491697852770738, + -1.0403149206630877, + -1.0244844993470557, + -1.002107307285972, + -0.973761394728547, + -0.9401634262741598, + -0.9021545573412545, + -0.8606831445335734, + -0.8167846769314069, + -0.7715593857329199, + -0.7261480491640059, + -0.6817065566665133, + -0.6393798298695391, + -0.6002757168853208, + -0.5654394805433599, + -0.5358294901452653, + -0.51229470042071, + -0.4955544611913158, + -0.4861811477550655, + -0.48458603646868564, + -0.4910087740069949, + -0.5055107041525188, + -0.5279722247662516, + -0.5580942520249611, + -0.5954037714050417, + -0.6392633576225429, + -0.6888844511725, + -0.7433440895517588, + -0.8016047088810746, + -0.8625365584712886, + -0.9249422086882765, + -0.9875825827758551, + -1.0492039073041384, + -1.1085649544957714, + -1.1644639433602373, + -1.2157644754841639, + -1.261419905256065, + -1.3004955826542877, + -1.3321884585496866, + -1.355843606494709, + -1.3709672896141885, + -1.3772362846481452, + -1.3745032653776195, + -1.3627981423819329, + -1.3423253530127537, + -1.3134571922580422, + -1.276723369445844, + -1.2327970652074478, + -1.1824778456070806, + -1.1266718638513586, + -1.0663698427412525, + -1.0026233815148917, + -0.936520167748574, + -0.8691586976672767, + -0.8016231160513912, + -0.7349587797666879, + -0.6701491270139246, + -0.6080943982812312, + -0.5495927056237414, + -0.49532388555383394, + -0.4458364990582623, + -0.40153826187669756, + -0.3626901012000216, + -0.3294039435558348, + -0.3016442451269715, + -0.2792331824280755, + -0.2618593304669292, + -0.24908956949483071, + -0.2403838823332151, + -0.23511263400491644, + -0.2325758657256022, + -0.23202408768392774, + -0.23268002061396525, + -0.23376071576442872, + -0.23449947696756265, + -0.23416701721434843, + -0.23209130519378007, + -0.2276755940353346, + -0.22041417404520258, + -0.20990545226902685, + -0.19586203268135846, + -0.17811754988162137, + -0.1566300943539411, + -0.13148215645814393, + -0.10287710709960313, + -0.0711323231743337, + -0.03666915311860967, + -3.501338376429911e-16 + ], + [ + 0, + 0.037766903976489935, + 0.07618478725972676, + 0.11457372433036747, + 0.15224666728850478, + 0.1885299225303975, + 0.22278333151908877, + 0.25441961203528346, + 0.2829223372276002, + 0.3078620641639067, + 0.328910170557987, + 0.3458500167306357, + 0.35858511819539973, + 0.3671440908187636, + 0.3716822133658438, + 0.3724795393181052, + 0.36993557894306633, + 0.3645606614575376, + 0.35696417350834325, + 0.3478399519091777, + 0.33794918354441167, + 0.3281012316710504, + 0.31913286382307104, + 0.3118864007086156, + 0.30718733674316556, + 0.30582200035552576, + 0.30851582545548717, + 0.31591279433478336, + 0.3285565870175694, + 0.34687393326783716, + 0.3711606120231523, + 0.401570480198031, + 0.43810784011393783, + 0.48062337404300687, + 0.5288137874810934, + 0.5822252119308075, + 0.6402603254182544, + 0.7021890569776782, + 0.7671626521965087, + 0.8342307928344169, + 0.9023613866084078, + 0.9704625753935543, + 1.0374064530272409, + 1.1020539390623276, + 1.1632802233312387, + 1.2200001788710455, + 1.271193138083566, + 1.315926439068985, + 1.3533771756182393, + 1.382851624763336, + 1.4038018791085234, + 1.415839276122794, + 1.4187442916017183, + 1.412472647790834, + 1.3971574761856436, + 1.373107468611114, + 1.340801045560909, + 1.3008766656220045, + 1.2541194918133578, + 1.2014447175857101, + 1.143877934944157, + 1.0825329977221558, + 1.0185878927347172, + 0.9532591789147569, + 0.8877755884367465, + 0.8233514034322597, + 0.761160226729466, + 0.7023097549912495, + 0.6478181379372011, + 0.5985924686239041, + 0.5554098979794126, + 0.5189018032146641, + 0.48954136592753644, + 0.46763483348478735, + 0.45331664862768073, + 0.44654853936876193, + 0.44712256640071796, + 0.45466803074018863, + 0.4686620524842934, + 0.48844354460174794, + 0.5132302257263623, + 0.5421382449056543, + 0.5742039308952651, + 0.6084071303301293, + 0.6436955640941638, + 0.6790096102720916, + 0.7133069156713977, + 0.7455862461619139, + 0.774910008745766, + 0.8004249147367332, + 0.821380302751896, + 0.8371437011394474, + 0.8472132804415561, + 0.8512269257303939, + 0.8489677441695536, + 0.840365912800847, + 0.8254968630995804, + 0.8045758899993819, + 0.7779493615947174, + 0.7460827893908981, + 0.7095460957184173, + 0.6689964828685592, + 0.6251593659717359, + 0.578807877225053, + 0.530741481676794, + 0.48176426361515456, + 0.4326634472543011, + 0.3841887057863767, + 0.33703278925443886, + 0.29181396472933957, + 0.24906071290794785, + 0.20919906476481656, + 0.172542891835376, + 0.13928738587526707, + 0.10950588000959895, + 0.08315007618329058, + 0.060053654964883685, + 0.039939155791134356, + 0.022427930796607785, + 0.007052895601653127, + -0.006726272147560673, + -0.019505899245116354, + -0.031919514071113105, + -0.04461798102941773, + -0.05824910681344164, + -0.07343726723444485, + -0.09076360345551313, + -0.11074732248364738, + -0.1338286090281081, + -0.1603536150276919, + -0.19056194030500584, + -0.22457695424798194, + -0.2623992357447372, + -0.30390332863554864, + -0.34883792470841063, + -0.3968294979012189, + -0.44738932411377774, + -0.4999237331324818, + -0.5537473548544217, + -0.6080990434041987, + -0.6621600918642755, + -0.7150742889963446, + -0.7659693190893319, + -0.8139789682265547, + -0.8582655758095111, + -0.8980421597647236, + -0.9325936477994964, + -0.961296665310147, + -0.9836373626734556, + -0.9992268099116809, + -1.0078135440277096, + -1.0092929222708715, + -1.003713011558402, + -0.9912768283571836, + -0.9723408324590043, + -0.9474096700632995, + -0.917127254141858, + -0.8822643609082101, + -0.8437030080956778, + -0.8024179615008341, + -0.759455788858996, + -0.715911942768056, + -0.6729064054912937, + -0.6315584667557075, + -0.5929612301406751, + -0.5581564536818922, + -0.5281103256120042, + -0.5036907567994116, + -0.48564673786800405, + -0.47459026197194853, + -0.47098125488113085, + -0.47511588382863984, + -0.4871185371757141, + -0.5069376802832368, + -0.5343457011446331, + -0.5689427645641941, + -0.610164598263122, + -0.6572940405858638, + -0.7094760897452762, + -0.765736110973882, + -0.8250007825782016, + -0.8861212965609893, + -0.9478982757753999, + -1.0091078288130682, + -1.068528136996886, + -1.1249659555990197, + -1.1772824140288392, + -1.2244175171636678, + -1.265412781793872, + -1.2994314875389237, + -1.3257760794451212, + -1.3439023283779714, + -1.353429933581552, + -1.3541493374752769, + -1.3460246137966945, + -1.3291923843497946, + -1.303956814581205, + -1.2707808316637745, + -1.230273798441002, + -1.1831759602954164, + -1.1303400577183247, + -1.072710563245795, + -1.0113010559002045, + -0.9471702880351046, + -0.8813975275363162, + -0.8150577720360604, + -0.7491974308568169, + -0.6848110548859119, + -0.6228196649191591, + -0.5640511859788155, + -0.5092234398129617, + -0.45893008162643506, + -0.41362979174933845, + -0.37363895031346056, + -0.33912793515126866, + -0.3101210922532283, + -0.2865003364835341, + -0.2680122501419955, + -0.2542784606079679, + -0.24480899784944746, + -0.23901826001346965, + -0.2362431524189835, + -0.23576291359134033, + -0.23682010276645882, + -0.23864219749652943, + -0.2404632382147592, + -0.24154495911900262, + -0.24119686141066096, + -0.23879471531840343, + -0.23379702064576688, + -0.22575901068475185, + -0.21434384981700305, + -0.19933074930493522, + -0.18061980676531994, + -0.15823346055730889, + -0.1323145386280695, + -0.10312097000242511, + -0.07101731383197186, + -0.036463343538007405, + -3.4677076094501506e-16 + ], + [ + 0, + 0.03712146651289038, + 0.07458150309202567, + 0.11171126999941448, + 0.14784575241297762, + 0.18234364068394895, + 0.2146066202535221, + 0.2440975507975868, + 0.27035704223764384, + 0.29301797600602697, + 0.31181757236213775, + 0.32660666730687093, + 0.3373559341565964, + 0.34415886331564527, + 0.3472313972497816, + 0.3469082040074125, + 0.34363565967999865, + 0.33796169573742896, + 0.3305227490516476, + 0.3220281285550224, + 0.3132421809320953, + 0.30496469676721044, + 0.29801004665215225, + 0.2931855726549739, + 0.2912697833240803, + 0.2929909094375615, + 0.29900637273642405, + 0.30988370098108503, + 0.32608339027084965, + 0.347944170431711, + 0.3756710724937725, + 0.4093266302239357, + 0.448825471989252, + 0.49393247675737084, + 0.5442645808214411, + 0.5992962320191595, + 0.6583683980202663, + 0.7207009469190507, + 0.7854081340826704, + 0.8515168510711085, + 0.9179872224115753, + 0.9837350758338508, + 1.0476557627684686, + 1.1086487697136098, + 1.1656425384173437, + 1.2176189042953707, + 1.2636365683591673, + 1.3028530380601087, + 1.3345445064044794, + 1.3581231856642488, + 1.3731516708793934, + 1.3793539777054196, + 1.3766229773309306, + 1.3650240362821815, + 1.3447947588799662, + 1.3163408227327906, + 1.2802279906851104, + 1.2371704738244353, + 1.1880159072634315, + 1.133727281328471, + 1.0753622435303463, + 1.0140502494913624, + 0.9509680923238011, + 0.8873143785466314, + 0.824283543550386, + 0.7630400102691208, + 0.7046930908375303, + 0.6502732127003219, + 0.6007100183531708, + 0.5568128424247228, + 0.5192540122746797, + 0.4885553500958512, + 0.46507817734000134, + 0.4490170380286239, + 0.44039726822263525, + 0.43907644679252505, + 0.4447496699030949, + 0.4569585005665994, + 0.47510335744290144, + 0.49845902589456614, + 0.5261929011073768, + 0.5573855096320849, + 0.5910528035183942, + 0.626169681544471, + 0.6616941658313669, + 0.6965916499756339, + 0.7298586369912631, + 0.7605454017268046, + 0.787777042567568, + 0.8107724303596187, + 0.8288606174963817, + 0.8414943355933927, + 0.8482602844893646, + 0.8488859965846622, + 0.8432431467258257, + 0.8313472668137428, + 0.8133539138364793, + 0.7895514278799738, + 0.7603505006716827, + 0.7262708532854106, + 0.6879253918538788, + 0.6460022707726525, + 0.6012453424512436, + 0.5544335099699501, + 0.5063595231384511, + 0.4578087688593833, + 0.40953860315625507, + 0.3622587548587877, + 0.3166133002246333, + 0.2731646645221847, + 0.2323800519259476, + 0.19462064038900365, + 0.16013380511117378, + 0.12904855467882925, + 0.10137427993578682, + 0.07700282928739481, + 0.05571383763131495, + 0.037183151639765745, + 0.02099411382716668, + 0.0066513937554050755, + -0.006403011270018626, + -0.018772039906744968, + -0.0310845738512783, + -0.04397570000626953, + -0.05806675907223279, + -0.07394571786138007, + -0.09214839479516292, + -0.11314104660245786, + -0.13730478971745505, + -0.16492228315017854, + -0.19616704184135694, + -0.23109568216895282, + -0.2696433260406514, + -0.3116223087797972, + -0.35672425083936166, + -0.40452546640906456, + -0.4544955954121603, + -0.5060092614111282, + -0.5583604786842531, + -0.6107794592112212, + -0.6624514063632293, + -0.7125368283675106, + -0.7601928624899639, + -0.8045950714473724, + -0.8449591576010232, + -0.8805620384394699, + -0.9107617388255932, + -0.9350155812076826, + -0.9528961938777948, + -0.9641049084747384, + -0.9684821800384891, + -0.9660147345154038, + -0.9568392279374007, + -0.9412422866050777, + -0.9196568863979663, + -0.8926551196218012, + -0.860937487347682, + -0.8253189417797215, + -0.7867119846527487, + -0.7461072019787212, + -0.7045516807707963, + -0.663125808037675, + -0.6229189949774573, + -0.5850048988239236, + -0.5504167304444852, + -0.520123237134282, + -0.4950059370232171, + -0.4758381543943897, + -0.46326636463263304, + -0.45779430444281305, + -0.4597702386696609, + -0.4693777010628941, + -0.486629944451688, + -0.5113682480058281, + -0.5432641376989877, + -0.5818254829794837, + -0.6264063402624852, + -0.6762203244364621, + -0.7303572053059002, + -0.787802348827581, + -0.8474585550191504, + -0.9081697871846924, + -0.96874624200865, + -1.0279901782152352, + -1.0847219036509637, + -1.137805317254414, + -1.1861724135084082, + -1.228846182347981, + -1.2649613764968017, + -1.2937826698661654, + -1.3147197937054185, + -1.3273393100944557, + -1.331372763330877, + -1.3267210368042577, + -1.3134548339386458, + -1.2918112944980105, + -1.262186849724981, + -1.2251265091737125, + -1.1813098565277573, + -1.1315341091129683, + -1.0766946643489732, + -1.0177636143769881, + -0.9557667561655582, + -0.8917596574337411, + -0.826803357970573, + -0.7619402909391267, + -0.6981709994534079, + -0.6364322003797072, + -0.5775767105601475, + -0.5223557014339634, + -0.47140368759644485, + -0.42522658471607483, + -0.38419309419279385, + -0.3485295879424363, + -0.3183185788349405, + -0.29350077278909026, + -0.27388060956245996, + -0.2591351130811268, + -0.2488257908649767, + -0.24241324772965414, + -0.23927411331716678, + -0.2387198277339693, + -0.24001678600623666, + -0.2424073112504352, + -0.2451309091358045, + -0.2474452527781855, + -0.24864635769769702, + -0.2480874305937264, + -0.24519591279616604, + -0.23948828837434907, + -0.23058228675760065, + -0.21820617880864543, + -0.20220494182958415, + -0.18254315102076069, + -0.15930454037133057, + -0.13268826266847555, + -0.1030019640728143, + -0.07065187134919769, + -0.03613016727364492, + -3.4222105640597696e-16 + ], + [ + 0, + 0.03635616368727921, + 0.07275002485656257, + 0.10852957259284614, + 0.14305700869190197, + 0.1757278694302714, + 0.20598928228811306, + 0.2333568642597548, + 0.25742980298239815, + 0.2779037083358916, + 0.2945808792487681, + 0.30737769675147186, + 0.3163289281770125, + 0.3215888069606253, + 0.32342883572656955, + 0.32223234517015226, + 0.3184859255021256, + 0.31276792878768955, + 0.3057343173149798, + 0.2981022032161129, + 0.2906314861510296, + 0.28410504737421444, + 0.27930799861054245, + 0.27700651182606895, + 0.2779267704594474, + 0.282734583575237, + 0.2920161916461716, + 0.3062607665432033, + 0.3258450694202804, + 0.3510206794559346, + 0.38190414508370785, + 0.4184703389033487, + 0.46054921964000445, + 0.5078261212226313, + 0.5598456023393031, + 0.6160188018394956, + 0.6756341582717547, + 0.7378712678319544, + 0.8018175761438613, + 0.8664875275680337, + 0.9308437329331617, + 0.993819664284653, + 1.0543433447713295, + 1.1113614741755862, + 1.1638634165530308, + 1.2109044763686003, + 1.2516279034380358, + 1.2852850946019894, + 1.3112535007327208, + 1.3290518004357084, + 1.3383519653968812, + 1.3389879152090194, + 1.3309605399258186, + 1.314438954589643, + 1.2897579394700136, + 1.2574116105572783, + 1.218043454767938, + 1.1724329511430571, + 1.1214790809410764, + 1.0661811039493492, + 1.0076170437480727, + 0.946920379459096, + 0.8852554843627418, + 0.8237923816227649, + 0.7636814034954662, + 0.7060283424220105, + 0.6518706702670911, + 0.6021553759725325, + 0.5577189326808671, + 0.519269853914111, + 0.4873742359293391, + 0.46244461144597077, + 0.44473236031112323, + 0.43432383728763135, + 0.43114028810153776, + 0.43494153434740657, + 0.44533331802948556, + 0.4617781096032925, + 0.48360910148981406, + 0.5100470341511254, + 0.5402194357545732, + 0.5731818008058303, + 0.6079401892332439, + 0.6434746963002665, + 0.6787632261352307, + 0.7128049979908122, + 0.7446432246273753, + 0.7733864261596403, + 0.7982278796826676, + 0.8184627540484214, + 0.8335025390499419, + 0.8428864474722603, + 0.8462895452475498, + 0.8435274473818195, + 0.8345575033422539, + 0.8194764830635711, + 0.7985148614734213, + 0.7720278832986934, + 0.7404836688208459, + 0.7044486932513425, + 0.6645710357262933, + 0.6215618470208337, + 0.5761755266653065, + 0.5291891292036792, + 0.48138153518123344, + 0.4335129247264104, + 0.3863050802834355, + 0.34042302048072687, + 0.29645842993918115, + 0.25491530100299464, + 0.2161981441726103, + 0.18060305595200013, + 0.14831185762809793, + 0.11938943809287196, + 0.09378435024052512, + 0.07133262584328035, + 0.051764690272986656, + 0.034715178106373513, + 0.01973537556102319, + 0.006307947755177843, + -0.006136450315152621, + -0.018201128940106993, + -0.030504372030846705, + -0.043660010306418646, + -0.05825808251956869, + -0.07484610597578792, + -0.09391146227376117, + -0.11586537585856058, + -0.1410289223421378, + -0.1696214516298503, + -0.20175174900278975, + -0.2374121870014908, + -0.2764760440084222, + -0.3186980837748756, + -0.3637184058430215, + -0.41106949200600174, + -0.4601862907730846, + -0.5104191023707609, + -0.5610489531306314, + -0.6113050820662271, + -0.6603841057102977, + -0.7074703813275353, + -0.7517570546234619, + -0.7924672569292512, + -0.8288749091252482, + -0.8603245955086248, + -0.8862499903077593, + -0.9061903521529279, + -0.9198046467570922, + -0.9268829142592264, + -0.9273545637702251, + -0.9212933520225632, + -0.9089188838346574, + -0.8905945573694352, + -0.8668219647890553, + -0.838231846715277, + -0.805571784719863, + -0.7696908977579674, + -0.7315218839837531, + -0.6920608168635191, + -0.6523451622347719, + -0.6134305294946318, + -0.5763667042559447, + -0.5421735307064631, + -0.511817218992698, + -0.48618764601245124, + -0.4660771971707803, + -0.45216166240819206, + -0.4449836529527549, + -0.4449389468973521, + -0.4522661032612724, + -0.46703960731375477, + -0.4891667264776974, + -0.518388168119999, + -0.554282540110612, + -0.5962745243965937, + -0.6436465851987886, + -0.6955539489586398, + -0.7510425149025646, + -0.8090692849610941, + -0.8685248414922061, + -0.928257352284174, + -0.9870975458486959, + -1.0438840769486146, + -1.0974886931981165, + -1.1468406186461155, + -1.1909495893780855, + -1.2289270088768687, + -1.2600047363646254, + -1.2835510784907758, + -1.2990836221329376, + -1.3062786220889029, + -1.3049767401966728, + -1.295185019902372, + -1.2770750703647036, + -1.2509775246404986, + -1.2173729251333911, + -1.17687927414853, + -1.1302365660231648, + -1.078288687989652, + -1.0219631379659484, + -0.962249057390558, + -0.9001741148321722, + -0.8367808005214121, + -0.773102702612275, + -0.7101413326632544, + -0.6488440506566956, + -0.5900836093148379, + -0.5346397943171973, + -0.48318358238033876, + -0.43626417441310766, + -0.3942991877403197, + -0.3575682115339434, + -0.3262098451013673, + -0.3002222516638105, + -0.2794671728810471, + -0.26367726381168266, + -0.2524665263617855, + -0.24534354358675872, + -0.24172714933746464, + -0.2409641093484576, + -0.24234834238073935, + -0.24514117460549653, + -0.2485920978973686, + -0.2519594936202285, + -0.2545307880231237, + -0.2556415233654144, + -0.2546928598685454, + -0.25116706673310635, + -0.24464061464654915, + -0.23479454604673172, + -0.22142187126669013, + -0.2044318167355383, + -0.1838508336644611, + -0.15982036001812983, + -0.1325914129219556, + -0.1025161708488235, + -0.07003678288586611, + -0.035671714131325784, + -3.3651968076615246e-16 + ], + [ + 0, + 0.03547750111680663, + 0.07070615230775851, + 0.10505610199489504, + 0.13792145007855863, + 0.16873846398930065, + 0.1970026768800167, + 0.22228440509087383, + 0.2442422624857337, + 0.26263430062570964, + 0.2773264647197681, + 0.28829812433757385, + 0.29564451324522306, + 0.29957599252824246, + 0.30041413338299666, + 0.298584698509083, + 0.2946076818320845, + 0.2890846432801639, + 0.28268364657396405, + 0.2761221716533785, + 0.27014842783035065, + 0.26552153762544306, + 0.2629910933822472, + 0.263276608314603, + 0.267047390097257, + 0.2749033582583387, + 0.2873573066017625, + 0.3048190791390657, + 0.32758208332175776, + 0.35581250881535614, + 0.3895415549966796, + 0.4286608973786441, + 0.4729215440645593, + 0.5219361500562637, + 0.575184771845092, + 0.6320239593168634, + 0.6916989987218586, + 0.7533590413704574, + 0.8160747797878845, + 0.8788582681220777, + 0.9406844282781331, + 1.0005137389474679, + 1.0573155725369978, + 1.1100916258124796, + 1.1578988843615554, + 1.199871568934959, + 1.2352415331812696, + 1.2633566167609738, + 1.2836965044974011, + 1.2958856999817203, + 1.2997032895083884, + 1.2950892477474631, + 1.282147118331607, + 1.2611429885632366, + 1.2325007656390226, + 1.1967938499972652, + 1.154733387468264, + 1.1071533637489286, + 1.0549928803325561, + 0.9992760185564846, + 0.941089756234424, + 0.8815604480043154, + 0.8218294149065681, + 0.7630282099717681, + 0.7062541342228014, + 0.6525465712990063, + 0.6028646890430711, + 0.5580670233429594, + 0.5188934141019771, + 0.4859497065331524, + 0.45969556442759335, + 0.44043566725927463, + 0.4283144817901927, + 0.42331471321493536, + 0.42525945292378997, + 0.43381795181493343, + 0.44851486189742407, + 0.46874270679527685, + 0.49377726568402724, + 0.522795487008584, + 0.5548954896917891, + 0.5891181618567382, + 0.6244698314907159, + 0.6599454608134353, + 0.6945518068959895, + 0.7273299954967164, + 0.75737697298647, + 0.783865332147128, + 0.8060610507422336, + 0.8233387359766154, + 0.8351940319099282, + 0.841252918957183, + 0.8412777129900113, + 0.8351696542860705, + 0.8229680615976595, + 0.8048461118092529, + 0.7811033889127523, + 0.7521554252873244, + 0.7185205315702924, + 0.6808042769419083, + 0.639682037812464, + 0.5958800783244055, + 0.5501556596651328, + 0.5032766961257771, + 0.45600148365251686, + 0.4090590211640974, + 0.3631304263284732, + 0.31883191630691676, + 0.27669978100417975, + 0.23717772272049226, + 0.20060687316353074, + 0.167218728154649, + 0.13713116385308008, + 0.11034761786910689, + 0.08675943628340602, + 0.06615130542137045, + 0.048209607327750946, + 0.03253346226887994, + 0.01864815216807025, + 0.006020557408037438, + -0.005923812535305347, + -0.017782655318332063, + -0.030158068806353973, + -0.04363760770033023, + -0.05877571410236869, + -0.07607602298645301, + -0.09597502124186015, + -0.11882750434112312, + -0.14489422862275608, + -0.17433210083070463, + -0.2071871813370021, + -0.2433907050350725, + -0.28275824605564565, + -0.3249920711900572, + -0.3696866442599931, + -0.4163371617389547, + -0.46435092078399665, + -0.5130612464846834, + -0.5617436374703055, + -0.6096337297617324, + -0.655946629428231, + -0.6998971264831119, + -0.7407202765173582, + -0.7776918235163649, + -0.8101479374988025, + -0.8375037540951198, + -0.859270229650624, + -0.8750688642733805, + -0.8846438955192153, + -0.8878716258959182, + -0.884766616600021, + -0.8754845561745672, + -0.860321694218138, + -0.8397108148742238, + -0.8142138104928331, + -0.784511000458818, + -0.7513874216209528, + -0.7157163930034011, + -0.6784407266318386, + -0.6405520166269447, + -0.603068488689685, + -0.5670119304601352, + -0.5333842489930797, + -0.5031442140871288, + -0.47718494508374004, + -0.4563126840072338, + -0.44122736987182576, + -0.4325054882901295, + -0.43058561814509644, + -0.43575703428895146, + -0.44815165352128367, + -0.4677395322086293, + -0.49432803975272704, + -0.5275647447391478, + -0.5669439621284719, + -0.6118168224443054, + -0.6614046396976416, + -0.7148152758207087, + -0.7710621275935642, + -0.8290852991869126, + -0.8877744710507035, + -0.9459929352300919, + -1.0026022392814553, + -1.056486866472203, + -1.1065783792324475, + -1.151878465899342, + -1.1914803573345356, + -1.2245881193502122, + -1.2505333780846672, + -1.268789097270007, + -1.2789800972188803, + -1.2808900835899966, + -1.274465037660204, + -1.2598129068897854, + -1.2371996228919744, + -1.2070415613533594, + -1.1698946428693844, + -1.1264403530057145, + -1.0774690322465428, + -1.0238608500941828, + -0.9665649309075905, + -0.9065771408326301, + -0.844917074392772, + -0.7826047952942953, + -0.7206378884009836, + -0.6599693686309687, + -0.6014869680394208, + -0.5459942852183716, + -0.4941942323234784, + -0.44667515576755207, + -0.4038999383982509, + -0.3661983155166939, + -0.3337625562842726, + -0.30664657792428096, + -0.28476847474846884, + -0.2679163595478318, + -0.255757333376301, + -0.24784932324117306, + -0.24365545758211724, + -0.2425605883828717, + -0.24388951780991333, + -0.24692644764957958, + -0.2509351424732136, + -0.2551792830444548, + -0.2589424853150563, + -0.2615474724254311, + -0.26237391209194455, + -0.26087446896162114, + -0.25658866997772745, + -0.24915423927761698, + -0.23831562613918106, + -0.2239295232946118, + -0.20596725166231658, + -0.1845139692103084, + -0.159764744187222, + -0.13201761425057926, + -0.1016638310296488, + -0.0691755624102802, + -0.03509139048347972, + -3.297132057972448e-16 + ], + [ + 0, + 0.034493039556088644, + 0.06846754445904861, + 0.10132069210514436, + 0.13248262181418743, + 0.1614336139993825, + 0.18771992240548205, + 0.2109678300000346, + 0.23089554474668486, + 0.24732260704935058, + 0.2601765447308469, + 0.2694965823829159, + 0.27543428800531383, + 0.2782511191180765, + 0.278312910979551, + 0.27608142913750555, + 0.2721031852647347, + 0.2669957871367009, + 0.2614321588677788, + 0.25612302446966795, + 0.2517980949716101, + 0.2491864355309825, + 0.24899651322189337, + 0.25189643787312177, + 0.25849490710351497, + 0.26932335256366696, + 0.28481975765141726, + 0.30531457825531066, + 0.3310191483249956, + 0.36201689247880087, + 0.39825759989259474, + 0.4395549390389277, + 0.4855873133006923, + 0.5359020750339332, + 0.5899230323415547, + 0.6469611007112457, + 0.7062278728094815, + 0.7668518060756411, + 0.8278966611677437, + 0.8883817664451493, + 0.9473036359923442, + 1.0036584324013154, + 1.0564647415685944, + 1.1047861157546284, + 1.1477528434070676, + 1.1845824197484622, + 1.2145982205287216, + 1.2372459219809573, + 1.252107261930782, + 1.2589107989496047, + 1.2575393969188768, + 1.2480342396795887, + 1.2305952627041639, + 1.2055779739466748, + 1.1734867221273593, + 1.1349645555901764, + 1.0907798964666118, + 1.0418103311930371, + 0.9890238875980777, + 0.9334582291101494, + 0.8761982466582674, + 0.818352567328041, + 0.7610295248480802, + 0.7053131498835359, + 0.6522397375879959, + 0.6027755359256612, + 0.5577960712645008, + 0.5180675883192477, + 0.4842310306561062, + 0.4567889269035344, + 0.4360954780395642, + 0.42235006435191524, + 0.41559430876891434, + 0.41571274823719734, + 0.42243707875092684, + 0.43535385461516796, + 0.4539154406229949, + 0.4774539390327727, + 0.5051977434115927, + 0.5362903102519182, + 0.5698106882446567, + 0.6047953054253895, + 0.6402604870420405, + 0.6752251625590114, + 0.7087332190315991, + 0.7398749701462757, + 0.7678072351909081, + 0.7917715594412442, + 0.8111101559717243, + 0.8252792074887082, + 0.8338592339657938, + 0.8365623059474211, + 0.8332359625257232, + 0.8238637752120567, + 0.8085625821734045, + 0.7875764995179169, + 0.7612678954570464, + 0.7301055872886758, + 0.6946505884101748, + 0.6555397913310842, + 0.6134680214758801, + 0.5691689342625913, + 0.5233952536074591, + 0.4768988630357852, + 0.4304112606877268, + 0.3846248767316759, + 0.3401757263953842, + 0.297627834667442, + 0.25745982067576556, + 0.22005397205312432, + 0.18568807372999455, + 0.15453018323236356, + 0.1266364675470087, + 0.10195213690418625, + 0.08031543043749655, + 0.06146452964760993, + 0.04504719991892378, + 0.03063288992789939, + 0.01772695541672195, + 0.005786619085052577, + -0.005761766343455289, + -0.017504618367200065, + -0.030022676298500993, + -0.043872701238907595, + -0.05956981771094423, + -0.07757097378004542, + -0.09825996780035218, + -0.121934449679963, + -0.14879525379908623, + -0.17893836070780972, + -0.21234971699224856, + -0.24890306893772168, + -0.28836088769759777, + -0.330378383565476, + -0.3745105266723223, + -0.4202219130220327, + -0.4668992402266922, + -0.5138660885009905, + -0.5603996411762293, + -0.6057489267649708, + -0.6491541227894639, + -0.6898664312634604, + -0.7271680176844347, + -0.7603915001417852, + -0.7889384828472028, + -0.8122966488931377, + -0.8300549598708494, + -0.8419165543482836, + -0.8477089920475388, + -0.8473915545355278, + -0.8410593847826149, + -0.8289443252930272, + -0.8114123957599236, + -0.7889579343374807, + -0.7621945095914852, + -0.7318427909268288, + -0.6987156417844204, + -0.6637007702410818, + -0.6277413340721985, + -0.5918149502784348, + -0.5569116011964602, + -0.5240109595359089, + -0.49405967222885044, + -0.46794914737400234, + -0.44649437965917566, + -0.43041432763323095, + -0.42031432157786885, + -0.41667093431643026, + -0.4198196901993646, + -0.42994592109718566, + -0.4470790041154037, + -0.47109013571790515, + -0.5016937129489817, + -0.538452306523178, + -0.5807851247992635, + -0.6279797841612973, + -0.6792071221337469, + -0.7335387165930708, + -0.7899667094884971, + -0.8474254781371929, + -0.9048146527677874, + -0.9610229466363034, + -1.0149522455219941, + -1.0655413972038426, + -1.111789148773688, + -1.1527757001805947, + -1.1876823757200599, + -1.2158089604653712, + -1.2365883047779183, + -1.2495978656554054, + -1.2545679271762245, + -1.2513863218783055, + -1.2400995586271546, + -1.2209103483368142, + -1.194171604716269, + -1.1603770809317524, + -1.1201488826658628, + -1.0742221715845512, + -1.0234274389117122, + -0.9686707850720387, + -0.9109126868442623, + -0.8511457670836499, + -0.7903721030338109, + -0.7295806170747655, + -0.6697250882925504, + -0.611703304678735, + -0.5563378445722876, + -0.5043589329472842, + -0.4563897644243308, + -0.4129346217994866, + -0.3743700480284516, + -0.34093925275110504, + -0.3127498535117305, + -0.28977496883973275, + -0.2718575973668317, + -0.2587181362277158, + -0.2499648151239102, + -0.2451067515217531, + -0.24356926924908168, + -0.2447110688001235, + -0.2478427942689669, + -0.2522465100575994, + -0.25719558110162044, + -0.2619744437719583, + -0.2658977609696315, + -0.2683284740348256, + -0.2686942954245167, + -0.266502228853282, + -0.2613507566338714, + -0.25293939593571746, + -0.24107539501703495, + -0.22567741541342873, + -0.20677612467956194, + -0.18451170458647678, + -0.15912835964215094, + -0.1309659884038508, + -0.10044925332657541, + -0.06807435199169803, + -0.03439385179009256, + -3.218590316701881e-16 + ], + [ + 0, + 0.033411284279382884, + 0.06605347424679822, + 0.0973551431466901, + 0.1267860399059188, + 0.153873117338393, + 0.17821500960062325, + 0.19949456539331006, + 0.21748909350622841, + 0.23207803629082357, + 0.24324785302830973, + 0.2510939672645524, + 0.2558197081850921, + 0.2577322540829427, + 0.2572356639551714, + 0.25482115927622606, + 0.2510548901081695, + 0.24656348608752013, + 0.2420177517838014, + 0.2381149159486307, + 0.2355598839805128, + 0.23504597148795406, + 0.23723561339090946, + 0.2427415471062122, + 0.2521089598758663, + 0.2657990693923186, + 0.28417457403756585, + 0.3074873650680816, + 0.33586883901023606, + 0.3693230857003969, + 0.4077231573510981, + 0.4508105484740145, + 0.4981979373072691, + 0.5493751585389531, + 0.6037182965967391, + 0.6605017105876516, + 0.7189127280714288, + 0.778068677082575, + 0.8370358658793924, + 0.8948500693018351, + 0.9505380406449664, + 1.0031395396218488, + 1.0517293510341417, + 1.0954387656212077, + 1.1334760043346264, + 1.1651450897813953, + 1.1898627032784042, + 1.2071726120440096, + 1.2167573074188547, + 1.2184465603017134, + 1.2122226726294691, + 1.1982222819627624, + 1.1767346581597797, + 1.1481965147365176, + 1.1131834407849013, + 1.07239814021877, + 1.0266557416664563, + 0.9768665126569257, + 0.9240163741344067, + 0.8691456642578583, + 0.81332664260114, + 0.7576402562349156, + 0.7031527069982456, + 0.6508923641192683, + 0.6018275581007866, + 0.5568457706488765, + 0.5167347019074443, + 0.48216565118824656, + 0.45367959185653267, + 0.4316762564045075, + 0.41640647559797284, + 0.4079679376783207, + 0.40630445184482605, + 0.4112087166258838, + 0.42232851031106183, + 0.4391761393905645, + 0.4611409039103028, + 0.4875042676693605, + 0.517457357981248, + 0.5501203658165098, + 0.58456337383685, + 0.6198281081523526, + 0.6549500903283348, + 0.6889806596761918, + 0.7210083423060862, + 0.7501790626031303, + 0.7757147242034794, + 0.7969297303829671, + 0.8132450669389334, + 0.8241996328033991, + 0.8294585732112266, + 0.8288184455187995, + 0.8222091268486846, + 0.8096924536553088, + 0.791457664056437, + 0.7678137923545286, + 0.7391792396386323, + 0.7060688128757368, + 0.669078585786751, + 0.6288689865664674, + 0.586146558889356, + 0.5416448726453894, + 0.49610507875993065, + 0.45025660785960286, + 0.40479850535554013, + 0.36038187594510823, + 0.31759387911045545, + 0.27694367474018855, + 0.23885066561667123, + 0.20363532254020913, + 0.17151280986028722, + 0.14258955588412559, + 0.11686283589578045, + 0.09422335729014661, + 0.07446075858566868, + 0.057271858792965584, + 0.04227142268568106, + 0.029005142734977632, + 0.016964481464399547, + 0.0056029701944080145, + -0.005646477220114803, + -0.017353703059587756, + -0.03007337820338363, + -0.044327491392024194, + -0.06058872750197099, + -0.07926518412084459, + -0.10068684122766564, + -0.12509415361251533, + -0.15262908095254582, + -0.18332880757730638, + -0.21712233449337262, + -0.25383005195050806, + -0.2931663235964453, + -0.33474503503820324, + -0.37808798238513674, + -0.4226359020507806, + -0.4677618736234873, + -0.5127867647476253, + -0.5569963322923015, + -0.5996595490241619, + -0.6400476907071349, + -0.6774536959192297, + -0.7112113005079087, + -0.7407134507984674, + -0.765429514407218, + -0.7849208344622662, + -0.7988542115621254, + -0.8070129469784244, + -0.8093051392377135, + -0.8057689928642667, + -0.7965749710931724, + -0.7820247019703986, + -0.762546627525248, + -0.7386884666414408, + -0.7111066418553583, + -0.6805528965918966, + -0.6478584004057837, + -0.6139157038505967, + -0.5796589600397974, + -0.5460428753947326, + -0.5140208863391106, + -0.48452308091730906, + -0.45843439390000207, + -0.43657360062108047, + -0.4196736186087557, + -0.40836359739230604, + -0.40315323635444705, + -0.404419719120676, + -0.4123975919630984, + -0.4271718445185483, + -0.44867437545340344, + -0.4766839453866814, + -0.5108296363618267, + -0.5505977534580468, + -0.595342021794933, + -0.6442968532193613, + -0.6965933833001006, + -0.7512779126940378, + -0.8073323291164292, + -0.8636960384613643, + -0.9192888972451329, + -0.9730346143753271, + -1.023884078874848, + -1.0708380718914157, + -1.1129688360594006, + -1.1494400026914262, + -1.1795244166925514, + -1.2026194495460945, + -1.2182594509835447, + -1.2261250585487504, + -1.2260491595219924, + -1.218019379744919, + -1.2021770568276853, + -1.1788127390021717, + -1.1483583334681602, + -1.1113761074530115, + -1.068544819441039, + -1.0206433253262277, + -0.968532062974055, + -0.9131328674301867, + -0.8554076066188646, + -0.7963361529401645, + -0.7368942191096387, + -0.6780315866039606, + -0.6206512422185715, + -0.5655899128615672, + -0.5136004514636932, + -0.4653364787297154, + -0.4213396276116709, + -0.3820296713059207, + -0.34769774292020655, + -0.3185027775397366, + -0.2944712271720713, + -0.2755000179644353, + -0.2613626391751907, + -0.25171817662134066, + -0.24612303161078478, + -0.2440450014667499, + -0.2448793412541809, + -0.24796637960299475, + -0.25261022572347624, + -0.2580980806827776, + -0.2637196543210764, + -0.26878619008515686, + -0.2726486134845741, + -0.2747143454571613, + -0.274462358988723, + -0.2714561049032637, + -0.2653539895999623, + -0.25591715220590633, + -0.24301435948989436, + -0.22662391214018002, + -0.20683253373868077, + -0.18383129199670142, + -0.15790867857376423, + -0.12944104714181068, + -0.09888067743003756, + -0.06674179407333125, + -0.0335849216492584, + -3.130244867068193e-16 + ], + [ + 0, + 0.032241565153860195, + 0.06348456816826081, + 0.09319280721202114, + 0.12087861633701416, + 0.14611764650565728, + 0.16856191847679558, + 0.18795079190416936, + 0.2041195488234885, + 0.2170053513482178, + 0.2266504013032714, + 0.23320220198382002, + 0.23691089740124902, + 0.23812374036782138, + 0.23727681565116493, + 0.2348842163004054, + 0.2315249382820544, + 0.22782781905914418, + 0.2244548981570313, + 0.22208362074002808, + 0.2213883376653243, + 0.22302157653798171, + 0.22759556740057024, + 0.2356645035892278, + 0.24770800301596807, + 0.2641162080411471, + 0.2851769238229236, + 0.31106514649607614, + 0.3418352749227271, + 0.3774162344836543, + 0.417609670046621, + 0.4620912896178732, + 0.5104153621260821, + 0.5620222942407309, + 0.6162491340419979, + 0.6723427756575827, + 0.7294755705048676, + 0.786762989240177, + 0.8432829254682161, + 0.8980961890446907, + 0.9502677045138539, + 0.9988879096924337, + 1.0430938411851423, + 1.082089397934981, + 1.1151642907046215, + 1.1417112142763648, + 1.1612408194712338, + 1.1733941128639438, + 1.1779519720914724, + 1.1748415324709696, + 1.1641392746157633, + 1.1460707210705292, + 1.1210067307727878, + 1.0894564614195548, + 1.052057149592538, + 1.0095609348246846, + 0.9628190248094329, + 0.9127635629246484, + 0.8603876146000847, + 0.8067237344444547, + 0.7528216103534637, + 0.6997253032018781, + 0.6484506106309805, + 0.5999630806330769, + 0.5551571851736603, + 0.5148371363558462, + 0.4796997882976061, + 0.45032001792057363, + 0.42713891846067664, + 0.41045507215584, + 0.4004190948897823, + 0.3970315673717097, + 0.4001443866177441, + 0.4094654900413766, + 0.4245668243414196, + 0.44489535454601886, + 0.46978683689663864, + 0.4984820144738997, + 0.5301448381439181, + 0.563882268895151, + 0.5987651820549994, + 0.6338498700649318, + 0.6681996290047922, + 0.7009059151391513, + 0.7311085713490099, + 0.7580146490414543, + 0.7809153883296822, + 0.7992009669970316, + 0.8123726857940511, + 0.8200523225331793, + 0.8219884586153087, + 0.8180596572696719, + 0.8082744510295192, + 0.7927681748574462, + 0.7717967589207925, + 0.7457276693808891, + 0.7150282548661063, + 0.6802518188434129, + 0.6420217923541658, + 0.6010144262145006, + 0.5579404557187158, + 0.513526213313817, + 0.4684946751121612, + 0.423546925255083, + 0.37934450811821163, + 0.3364931125472983, + 0.2955279954139228, + 0.25690150474176016, + 0.22097300668681188, + 0.18800145719094905, + 0.15814078978489013, + 0.13143821755665308, + 0.10783547158755614, + 0.08717292210711844, + 0.06919645415353394, + 0.05356689852870151, + 0.03987175309761788, + 0.027638870658859636, + 0.016351739188057823, + 0.005465939499315073, + -0.00557366469413017, + -0.017315467953391173, + -0.030283865853831752, + -0.04496266424001251, + -0.06177960261608979, + -0.08109241045809454, + -0.10317677562363216, + -0.1282165546473958, + -0.1562964967948374, + -0.18739768876423932, + -0.22139585652115845, + -0.2580625866983634, + -0.29706945417199104, + -0.33799496675011714, + -0.3803341643010038, + -0.4235106399731255, + -0.4668906871892066, + -0.5097992194625908, + -0.5515370622350517, + -0.5913991781009573, + -0.6286933599445298, + -0.6627589113816968, + -0.6929848308801622, + -0.7188270251427495, + -0.7398240985852822, + -0.755611298525316, + -0.7659322392362624, + -0.7706480812566272, + -0.7697439039756006, + -0.7633320780308852, + -0.7516525177642045, + -0.7350697710628505, + -0.7140669824621575, + -0.6892368434434039, + -0.66126971949144, + -0.6309392147893222, + -0.5990855006392382, + -0.566596791173372, + -0.5343893982062787, + -0.5033868349576636, + -0.4744984648718908, + -0.44859820618835616, + -0.426503804882042, + -0.40895717801031933, + -0.39660630659417484, + -0.3899891224575609, + -0.3895197877675769, + -0.39547771045259006, + -0.407999574562208, + -0.42707459352203375, + -0.4525431178513962, + -0.484098649110198, + -0.5212932305644016, + -0.563546104290158, + -0.6101554461454279, + -0.6603129161381833, + -0.7131206940186153, + -0.7676106100759817, + -0.8227649305940546, + -0.8775383174505573, + -0.9308804529155121, + -0.981758804508866, + -1.0291810012177567, + -1.0722163015372392, + -1.1100156554634315, + -1.1418298962062094, + -1.1670256421788285, + -1.1850985446701552, + -1.19568358017161, + -1.1985621570632183, + -1.1936658825339195, + -1.1810769153618237, + -1.1610249115649918, + -1.133880650969382, + -1.100146511454879, + -1.0604440321192519, + -1.0154988750360163, + -0.9661235560186237, + -0.913198366374705, + -0.8576509488019263, + -0.8004350203606211, + -0.7425087531580448, + -0.6848133285942072, + -0.6282521736560833, + -0.5736713680222686, + -0.521841679174344, + -0.47344264011561854, + -0.42904903175410325, + -0.3891200708391093, + -0.35399153608503775, + -0.3238709914778505, + -0.29883618857559835, + -0.2788366508036341, + -0.2636983642632232, + -0.25313142336194144, + -0.24674040751753518, + -0.24403719905852467, + -0.24445589386788968, + -0.24736940672270713, + -0.2521073338777109, + -0.2579746071732931, + -0.26427045748761635, + -0.270307201071796, + -0.27542837027510864, + -0.2790257301466161, + -0.2805547538534877, + -0.27954817196171966, + -0.2756272622940454, + -0.26851060698709867, + -0.2580201099859511, + -0.24408413984356836, + -0.22673773751721488, + -0.20611990497745133, + -0.18246806594201348, + -0.15610986300872598, + -0.12745252404673246, + -0.09697009318366084, + -0.06518887652313977, + -0.03267149846217078, + -3.03285825180752e-16 + ], + [ + 0, + 0.030993908897351246, + 0.06078253407901817, + 0.08886816203903239, + 0.1148080768349521, + 0.13822801615840616, + 0.15883374911697237, + 0.17642045937343948, + 0.19087967408278725, + 0.20220354260240328, + 0.21048633762086205, + 0.2159231234183342, + 0.21880560961367418, + 0.2195152821044703, + 0.2185139741072107, + 0.21633210744763837, + 0.21355489582601103, + 0.21080685611829264, + 0.2087350194818757, + 0.2079912699374909, + 0.209214263266061, + 0.21301139282676074, + 0.21994127089162724, + 0.23049718421845375, + 0.24509196106018938, + 0.26404465414058725, + 0.28756940109722756, + 0.3157667715498843, + 0.3486178495750571, + 0.385981233440411, + 0.4275930626265727, + 0.47307010721492093, + 0.5219158785071288, + 0.5735296441595255, + 0.6272181580457071, + 0.6822098463290193, + 0.7376711285536912, + 0.7927244975243072, + 0.8464679357268041, + 0.8979952102187962, + 0.9464165632013667, + 0.9908793025241857, + 1.0305877955273812, + 1.0648223809447637, + 1.0929567368412674, + 1.1144732771954697, + 1.1289761949465158, + 1.1362018240224894, + 1.1360260557373385, + 1.1284686144656995, + 1.113694071993006, + 1.092009557581229, + 1.0638591996973485, + 1.029815413597654, + 0.9905672246353828, + 0.9469058884122548, + 0.8997081339827669, + 0.8499174136500808, + 0.7985235910588766, + 0.7465415371125391, + 0.694989129790706, + 0.644865168565663, + 0.5971277164511456, + 0.5526733727043173, + 0.5123179570830726, + 0.4767790528742571, + 0.4466608114756332, + 0.42244136721916137, + 0.40446314868616834, + 0.39292630350994806, + 0.3878853792784919, + 0.38924932545384905, + 0.3967848021093469, + 0.4101227026789586, + 0.4287677217275009, + 0.45211072683770465, + 0.47944362781524064, + 0.5099763781303033, + 0.542855694250327, + 0.5771850394552918, + 0.6120453907950334, + 0.6465162917023215, + 0.6796966887803203, + 0.7107250595037382, + 0.7387983577731867, + 0.763189335912283, + 0.7832618439850639, + 0.7984837591657872, + 0.8084372580084611, + 0.8128262113326352, + 0.8114805533951268, + 0.8043575522618385, + 0.7915399849604089, + 0.7732312971821922, + 0.7497479011268331, + 0.7215088347228483, + 0.6890230691996778, + 0.6528748082675456, + 0.6137071696069496, + 0.5722046768283576, + 0.5290750166346134, + 0.48503053097640847, + 0.4407699171964439, + 0.3969606004681245, + 0.3542222225044702, + 0.3131116590874686, + 0.27410993726836624, + 0.23761137219222203, + 0.20391518471026343, + 0.1732197957615531, + 0.14561992358918027, + 0.12110653697979991, + 0.09956964372449291, + 0.08080382026486306, + 0.06451631786060563, + 0.05033751437547623, + 0.037833420597409254, + 0.026519897401074483, + 0.0158781963513394, + 0.005371402632720718, + -0.005538663680502056, + -0.017374543453270327, + -0.030626686610846398, + -0.045737895806753956, + -0.06308908556670116, + -0.08298674271595236, + -0.10565242984318, + -0.13121462068048853, + -0.15970309592362236, + -0.19104606170397537, + -0.2250700823317558, + -0.26150284584324024, + -0.2999787071546083, + -0.34004688111865833, + -0.38118208833793027, + -0.42279739197317284, + -0.46425890564476213, + -0.5049020023417524, + -0.5440486133157365, + -0.5810251753015694, + -0.6151807648743964, + -0.6459049508452314, + -0.6726448995477937, + -0.6949212836131392, + -0.7123425720057711, + -0.7246173170585959, + -0.7315641020762418, + -0.7331188696102079, + -0.7293394143585008, + -0.7204068942345041, + -0.7066242867659339, + -0.6884117938013905, + -0.6662992736373073, + -0.6409158542372412, + -0.612976952339197, + -0.583268989156152, + -0.5526321524173284, + -0.5219416051864303, + -0.4920875829453555, + -0.4639548508009402, + -0.4384020115734785, + -0.41624116245649684, + -0.3982183926895596, + -0.38499559735253736, + -0.37713405336179145, + -0.37508016370650005, + -0.37915372585999524, + -0.3895390213393157, + -0.40627895698900646, + -0.4292724163408297, + -0.45827490310342045, + -0.4929024803218639, + -0.532638929930265, + -0.576845980224476, + -0.6247763750930825, + -0.6755894904649379, + -0.7283691420344964, + -0.7821431754158227, + -0.8359043867498964, + -0.8886322895054095, + -0.9393152225645399, + -0.9869722861801523, + -1.0306745962416515, + -1.0695653634016298, + -1.1028783316038535, + -1.129954149732797, + -1.1502542995202338, + -1.1633722612895758, + -1.1690416651667372, + -1.167141247425753, + -1.157696507910059, + -1.140878043116455, + -1.1169966086313263, + -1.0864950422417656, + -1.0499372533194615, + -1.0079945531891015, + -0.9614296634705057, + -0.9110787933198218, + -0.8578322207916881, + -0.8026138471416792, + -0.7463602149916455, + -0.6899994913780982, + -0.6344309145807007, + -0.5805051893696651, + -0.5290062893017781, + -0.48063508760780993, + -0.43599519099385065, + -0.3955812945178791, + -0.35977031201144405, + -0.3288154668880675, + -0.3028434543514938, + -0.28185470982489585, + -0.26572674175758354, + -0.2542204117270796, + -0.2469889728002271, + -0.24358961022040643, + -0.24349716829229084, + -0.24611969531403774, + -0.25081539582610696, + -0.25691054733487906, + -0.26371791779393483, + -0.27055521097057766, + -0.2767630695809661, + -0.2817221806376278, + -0.28486905341684265, + -0.2857100771354194, + -0.28383351187446526, + -0.2789191213075955, + -0.2707452179753877, + -0.25919295961269034, + -0.24424780665921123, + -0.2259981247508819, + -0.20463098983576924, + -0.1804253257172667, + -0.15374257247764261, + -0.12501514764537414, + -0.09473301854237848, + -0.06342875255807041, + -0.031661450931017715, + -2.927271359114701e-16 + ], + [ + 0, + 0.029678905092289928, + 0.057969880446891386, + 0.08441637810634095, + 0.1086223780556897, + 0.1302644603167274, + 0.14910187632086916, + 0.16498434341510737, + 0.17785734537521855, + 0.18776478647439312, + 0.19484891534741344, + 0.19934750586191924, + 0.20158835366181077, + 0.20198121717232484, + 0.20100739887222877, + 0.19920722484255518, + 0.19716573640893773, + 0.19549695568017664, + 0.19482712571798674, + 0.19577735494637546, + 0.19894611346907612, + 0.20489203572540068, + 0.21411747917676027, + 0.2270532725638649, + 0.24404506008032814, + 0.2653416102213916, + 0.29108541099742924, + 0.32130581780056905, + 0.3559149578395665, + 0.394706527250545, + 0.43735754542589445, + 0.4834330575545498, + 0.5323937026615172, + 0.5836059924085163, + 0.6363550773688645, + 0.6898597141340798, + 0.7432890900376284, + 0.795781113918774, + 0.8464617424220465, + 0.8944648828298598, + 0.938952396095596, + 0.9791337180455711, + 1.0142846228276745, + 1.0437646704875756, + 1.0670329096467535, + 1.083661445957364, + 1.0933465363713037, + 1.0959169270991977, + 1.0913392180529682, + 1.07972010699011, + 1.0613054407977345, + 1.0364760775629955, + 1.0057406394151782, + 0.9697253107296464, + 0.9291609073310239, + 0.8848675080840557, + 0.8377369991050216, + 0.7887139313218027, + 0.7387751330176823, + 0.6889085493075726, + 0.640091799469601, + 0.5932709502210322, + 0.5493399982056048, + 0.5091215382632492, + 0.47334906588718284, + 0.44265132332273927, + 0.417539049976142, + 0.3983944403692732, + 0.38546354819948847, + 0.3788518047190211, + 0.3785227453523778, + 0.38429996203327227, + 0.3958722220274768, + 0.41280161888180283, + 0.43453454942895725, + 0.46041524422417973, + 0.4897015190049223, + 0.5215823631936191, + 0.5551969393470124, + 0.5896545358002373, + 0.6240549943088953, + 0.6575091257293479, + 0.689158629880618, + 0.7181950505925347, + 0.743877323166656, + 0.7655475083831841, + 0.7826443538402099, + 0.7947143786350541, + 0.8014202398056568, + 0.8025462069833917, + 0.7980006436719449, + 0.7878154676714375, + 0.7721426375751599, + 0.7512477851371832, + 0.7255011828440253, + 0.6953663005106805, + 0.6613862625779152, + 0.6241685675994677, + 0.5843684719632901, + 0.5426714702119146, + 0.4997753236920138, + 0.45637209722512023, + 0.4131306598886965, + 0.3706800909561293, + 0.3295944059781465, + 0.2903789815834451, + 0.2534590117769423, + 0.21917027449705834, + 0.1877524263396906, + 0.15934497721535268, + 0.13398602695690665, + 0.1116137743055969, + 0.09207073708345866, + 0.0751105525197237, + 0.06040716039940471, + 0.04756611061477361, + 0.03613768236291037, + 0.025631456011601716, + 0.015531941712954758, + 0.005314842106053362, + -0.005536489413773909, + -0.01751483797575884, + -0.0310736003948617, + -0.04661236055208921, + -0.06446395659404587, + -0.08488339079461728, + -0.10803888512727076, + -0.1340053299740994, + -0.1627603113544146, + -0.19418283516083948, + -0.22805479683721683, + -0.26406517349364256, + -0.3018168444395397, + -0.3408358773268839, + -0.3805830522793618, + -0.4204673371885419, + -0.4598609752947952, + -0.4981158025714076, + -0.534580378417031, + -0.5686174896171888, + -0.5996215750816078, + -0.6270356178451403, + -0.6503670612940865, + -0.6692023283173268, + -0.6832195545704387, + -0.6921991894985736, + -0.6960321701568766, + -0.694725431936663, + -0.6884045855979595, + -0.6773136599123295, + -0.661811882003472, + -0.6423675413305521, + -0.6195490563533015, + -0.5940134334261793, + -0.5664923736289564, + -0.5377763433946365, + -0.5086969774296033, + -0.480108226205561, + -0.4528666941246172, + -0.4278116374487217, + -0.405745102639737, + -0.3874126855554356, + -0.3734853799582511, + -0.36454296027745653, + -0.3610593090664775, + -0.3633900549319635, + -0.37176283294908485, + -0.38627041801325335, + -0.4068669137013835, + -0.4333671066730501, + -0.46544902119784476, + -0.5026596318882316, + -0.5444236170141754, + -0.590054961726482, + -0.6387711519066412, + -0.689709636871955, + -0.7419461843268002, + -0.7945147051092489, + -0.8464280895623579, + -0.8966995726395807, + -0.9443641317432669, + -0.9884994201192995, + -1.0282457494228936, + -1.0628246575702807, + -1.0915556316524013, + -1.113870599689665, + -1.1293258582790673, + -1.1376111644269091, + -1.1385557875782137, + -1.132131390396103, + -1.1184516824418655, + -1.0977688677170114, + -1.0704669831815459, + -1.0370522990054172, + -0.9981410206530787, + -0.95444459626268, + -0.9067529886282649, + -0.8559163180787214, + -0.8028253195437046, + -0.7483910832238285, + -0.6935245629279995, + -0.6391163389755871, + -0.5860171135476714, + -0.5350193957628605, + -0.48684080208781205, + -0.44210935578022265, + -0.4013511179632157, + -0.36498042392965074, + -0.3332929328498432, + -0.3064616288394963, + -0.28453583808323246, + -0.2674432522220487, + -0.25499487434519413, + -0.24689273250389995, + -0.24274013844673817, + -0.24205420791656077, + -0.24428030485019667, + -0.24880802650118125, + -0.25498831096107605, + -0.2621512236388045, + -0.2696239655560033, + -0.27674864413479733, + -0.28289935651022036, + -0.28749815602202516, + -0.290029503878592, + -0.29005284922107505, + -0.2872130308848764, + -0.2812482517750794, + -0.27199544047280744, + -0.25939288285119366, + -0.24348007737381577, + -0.22439483958052128, + -0.20236775221998157, + -0.1777141257739018, + -0.15082369801283266, + -0.12214835911853544, + -0.09218823934586202, + -0.061476537910192613, + -0.03056350372726787, + -2.814391753231576e-16 + ], + [ + 0, + 0.02830756758755581, + 0.055069630432630065, + 0.07987288417523243, + 0.10236913099678915, + 0.12228592757450202, + 0.13943513771552013, + 0.15371915413980192, + 0.16513461438814261, + 0.17377350091445756, + 0.17982158343143193, + 0.18355423079361313, + 0.18532968836771674, + 0.1855799832143638, + 0.1847996818025717, + 0.18353278181013039, + 0.1823580693796244, + 0.18187331472582752, + 0.18267871115658926, + 0.18535998454075428, + 0.19047161145232813, + 0.19852058432874703, + 0.20995115096897998, + 0.22513093380929652, + 0.2443388021688433, + 0.26775482883205964, + 0.2954526119500923, + 0.327394185534636, + 0.3634276782065727, + 0.4032878119204925, + 0.4465992617982735, + 0.4928828267238133, + 0.5415642897563743, + 0.591985779473568, + 0.6434193797565017, + 0.6950826778748268, + 0.7461558904699123, + 0.7958001654416453, + 0.8431766258777367, + 0.88746570084455, + 0.9278862776467165, + 0.9637142113467196, + 0.994299739921734, + 1.019083377147959, + 1.0376098895918493, + 1.049540008140455, + 1.0546595772643739, + 1.0528859054052229, + 1.0442711460579515, + 1.0290026096702816, + 1.007399979690216, + 0.9799094801733135, + 0.9470951155055765, + 0.9096271732173639, + 0.86826824683527, + 0.8238570956263219, + 0.7772907104629823, + 0.7295049985925958, + 0.6814545337604865, + 0.6340918410827974, + 0.5883466977265047, + 0.5451059305389454, + 0.5051941802702437, + 0.46935607922542255, + 0.43824025562169744, + 0.41238553442682324, + 0.392209652075907, + 0.3780007424833369, + 0.3699117856458723, + 0.36795813948423056, + 0.3720182021158762, + 0.3818371772804826, + 0.39703384196488484, + 0.41711014418815184, + 0.44146339213647784, + 0.4694007350010561, + 0.5001555824417836, + 0.5329055648635935, + 0.5667916017238945, + 0.6009376207204581, + 0.6344704575098555, + 0.6665394638717868, + 0.6963353619772533, + 0.7231079033688599, + 0.7461819228745286, + 0.764971419145496, + 0.7789913437877519, + 0.7878668388807751, + 0.791339726602193, + 0.7892721231084785, + 0.7816471200584724, + 0.7685665494414661, + 0.7502459188960857, + 0.7270066737142246, + 0.699266006516088, + 0.6675244945667486, + 0.6323518964379565, + 0.594371482941095, + 0.5542433109223119, + 0.5126468718131943, + 0.4702635592238514, + 0.427759401076672, + 0.3857684918146033, + 0.34487753936232846, + 0.30561191032842094, + 0.26842351622464694, + 0.23368083429467695, + 0.20166130014802197, + 0.1725462472239642, + 0.14641850174432078, + 0.12326267293556244, + 0.1029681086527707, + 0.08533441787954817, + 0.07007939564148356, + 0.056849124317489425, + 0.04522996971269862, + 0.034762141967077734, + 0.024954451628213158, + 0.01529986101157849, + 0.00529141106279918, + -0.005561905179897696, + -0.017719749524644758, + -0.03159594010470848, + -0.04754523803898955, + -0.06585177638400601, + -0.08671944576979736, + -0.11026450029176191, + -0.13651058959347792, + -0.16538636008087387, + -0.19672570145020227, + -0.23027064588154106, + -0.2656768580897244, + -0.30252158668934437, + -0.3403138827391931, + -0.37850683152636716, + -0.4165114901550146, + -0.45371217768629496, + -0.48948272761046147, + -0.523203285274289, + -0.5542772162476186, + -0.5821476859390946, + -0.6063134762363575, + -0.6263436214439906, + -0.6418904729409081, + -0.6527008391273268, + -0.6586248934782806, + -0.6596225977344851, + -0.6557674481094389, + -0.6472474183724491, + -0.6343630431479086, + -0.6175226560277144, + -0.5972348683541833, + -0.5740984440189401, + -0.5487897916029075, + -0.5220483560007639, + -0.49466024580165896, + -0.4674404787706727, + -0.44121426462355107, + -0.41679777096752124, + -0.3949788341003985, + -0.37649808089285625, + -0.36203092107716073, + -0.352170851064579, + -0.347414481327284, + -0.3481486600926703, + -0.35464001754515145, + -0.3670271980796488, + -0.38531598477054274, + -0.4093774516463026, + -0.43894920726017456, + -0.47363971917729863, + -0.5129356351606671, + -0.5562119448363043, + -0.6027447572131979, + -0.6517264063005612, + -0.7022825407516864, + -0.7534908053513186, + -0.8044006834342129, + -0.8540540409289812, + -0.9015058953637121, + -0.9458449272783419, + -0.9862132572129645, + -1.0218250286465203, + -1.0519833655304733, + -1.0760953117107883, + -1.0936844076174739, + -1.1044006159529745, + -1.108027371354723, + -1.1044855976014831, + -1.0938346082056436, + -1.076269880423075, + -1.0521177670118158, + -1.021827282672526, + -0.9859591712426833, + -0.9451725237145553, + -0.9002092744541014, + -0.8518769522297072, + -0.8010301026317723, + -0.7485508282212511, + -0.6953289115840545, + -0.6422419939549413, + -0.5901362780545842, + -0.539808208386346, + -0.4919875558730124, + -0.4473222970563017, + -0.4063656320632653, + -0.3695654313224097, + -0.33725633994708615, + -0.30965470231882464, + -0.28685639935181795, + -0.26883761894087477, + -0.2554585079724953, + -0.2464695837950934, + -0.24152071593809826, + -0.24017242679125328, + -0.24190920442705263, + -0.24615447312696304, + -0.25228682861236545, + -0.2596571164127724, + -0.26760591390470234, + -0.2754809697356167, + -0.2826541587422564, + -0.2885375259357165, + -0.2925980192346252, + -0.29437054669602764, + -0.29346903908668187, + -0.28959525159715777, + -0.28254509797453425, + -0.27221237482292865, + -0.2585898016584641, + -0.24176737178846724, + -0.22192807845723378, + -0.19934114821136611, + -0.17435297738428174, + -0.14737602637162658, + -0.11887597848847056, + -0.08935751435556571, + -0.059349087847462435, + -0.029387114770941764, + -2.6951813940619065e-16 + ], + [ + 0, + 0.026891192960926857, + 0.052105034202096015, + 0.07527293638492909, + 0.09609503732886558, + 0.114349402383028, + 0.1298990644889767, + 0.1426967069256061, + 0.15278685500290057, + 0.16030550776267408, + 0.16547720741032645, + 0.1686096110525191, + 0.17008569465590684, + 0.17035378131257908, + 0.1699156433176526, + 0.16931297877024074, + 0.16911260709206222, + 0.16989076289686558, + 0.17221689313293395, + 0.17663737769304377, + 0.18365959832967343, + 0.19373677458238872, + 0.20725396864354087, + 0.22451563404934194, + 0.24573504643540914, + 0.2710259092303341, + 0.3003963741889853, + 0.3337456573929742, + 0.3708633672331053, + 0.41143159352591474, + 0.4550297379763623, + 0.5011419973973519, + 0.5491673441503335, + 0.5984317848540153, + 0.6482026201102276, + 0.6977043762839583, + 0.746136036554723, + 0.7926891636422599, + 0.8365664816936031, + 0.877000470450146, + 0.9132715213818972, + 0.9447252131013931, + 0.9707882818982646, + 0.9909828922439882, + 1.0049388509220523, + 1.0124034561157256, + 1.013248728187237, + 1.0074758306696556, + 0.9952165566673631, + 0.9767318258014648, + 0.9524072083383657, + 0.9227455644578028, + 0.8883569560075433, + 0.8499460538575512, + 0.8082973244952117, + 0.7642583333106555, + 0.7187215477858634, + 0.672605060397794, + 0.626832677572685, + 0.582313836830464, + 0.5399238189418452, + 0.5004847153651748, + 0.46474759358960827, + 0.4333762747114869, + 0.4069330992983834, + 0.38586701028107967, + 0.37050422640972425, + 0.361041718061478, + 0.35754363039790243, + 0.3599407286684373, + 0.36803286855183626, + 0.38149442257088473, + 0.39988252355537646, + 0.4226479195667433, + 0.4491481732501787, + 0.47866288373469124, + 0.5104105622829104, + 0.5435667550288747, + 0.577282978238539, + 0.6107060142428653, + 0.6429971099247684, + 0.6733506245143719, + 0.7010116893140852, + 0.7252924684176467, + 0.7455866458276152, + 0.7613818096940428, + 0.7722694575534913, + 0.7779524061121347, + 0.7782494538011004, + 0.7730972124278792, + 0.7625490940648839, + 0.7467715091268062, + 0.7260373996679491, + 0.7007172966017059, + 0.671268149217466, + 0.6382202285838038, + 0.6021624518826576, + 0.563726511314876, + 0.5235702180731415, + 0.4823604883582284, + 0.4407564041429212, + 0.3993927762572082, + 0.3588646215422909, + 0.31971293972932674, + 0.28241214002704795, + 0.2473594230737287, + 0.21486637206122716, + 0.18515294879568223, + 0.15834402769745146, + 0.13446853485387378, + 0.11346119189025337, + 0.0951667973186895, + 0.07934691285402198, + 0.06568876059335271, + 0.05381608049029607, + 0.04330164763672264, + 0.03368110674644717, + 0.024467747972838814, + 0.015167824617755657, + 0.005295999990071502, + -0.0056094920231493555, + -0.017972380139776454, + -0.032164971659227035, + -0.04849621185704395, + -0.06720150974267428, + -0.08843460713781359, + -0.11226171490153118, + -0.13865808119967513, + -0.16750709348206677, + -0.19860194989320737, + -0.23164986887134054, + -0.26627873938455293, + -0.3020460502938329, + -0.3384498773467815, + -0.37494165181888406, + -0.4109403872223521, + -0.44584800101438193, + -0.4790653378739998, + -0.5100084806684673, + -0.5381249252375598, + -0.5629091958665549, + -0.5839174898071607, + -0.6007809611810355, + -0.6132172865410003, + -0.6210401954976988, + -0.6241666991399878, + -0.6226218052743867, + -0.6165405713942272, + -0.6061674122317616, + -0.5918526471108656, + -0.5740463414044288, + -0.5532895644875514, + -0.5302032519646931, + -0.5054749209987073, + -0.4798435427490546, + -0.45408292384464854, + -0.4289839882599735, + -0.4053363809253082, + -0.38390983410953905, + -0.3654357465462394, + -0.3505894231749084, + -0.33997341025646854, + -0.33410233678441714, + -0.33338963910516817, + -0.3381365022899944, + -0.3485233001059031, + -0.36460375666037337, + -0.3863019883682403, + -0.41341251637296594, + -0.44560326861708216, + -0.48242151912787645, + -0.5233026415141316, + -0.5675814858839514, + -0.614506125052501, + -0.6632536585644, + -0.7129477131162629, + -0.7626772366572585, + -0.8115161517864293, + -0.8585434128356451, + -0.9028630007523988, + -0.9436233908350259, + -0.980036040507631, + -1.0113924673623407, + -1.037079521084357, + -1.0565924957998138, + -1.069545780802563, + -1.0756808062718235, + -1.0748711050586015, + -1.06712438032415, + -1.0525815400845817, + -1.0315127318162733, + -1.0043104814521375, + -0.9714801096184524, + -0.9336276621617359, + -0.8914456503384729, + -0.8456969470769263, + -0.7971972282393112, + -0.7467963807946488, + -0.6953593224734058, + -0.6437466892848958, + -0.5927958479751171, + -0.543302680097117, + -0.49600456314277974, + -0.4515649426933256, + -0.4105598485874721, + -0.37346665871406637, + -0.34065535744881037, + -0.3123824733860444, + -0.28878781441956375, + -0.26989404905574427, + -0.25560911281172954, + -0.2457313493930375, + -0.23995722976479944, + -0.23789142986746717, + -0.23905899111139897, + -0.24291923829952347, + -0.2488810884772699, + -0.2563193523883486, + -0.2645916084838869, + -0.27305521829809765, + -0.28108405170859296, + -0.2880845011152541, + -0.2935103846006911, + -0.29687636911818066, + -0.2977695848827685, + -0.29585915038419236, + -0.29090338256168835, + -0.2827545272761499, + -0.27136090974539456, + -0.2567664714386281, + -0.2391077273664371, + -0.21860824405021348, + -0.19557080203706992, + -0.1703674660418956, + -0.14342783915793547, + -0.11522582374071143, + -0.08626524937908148, + -0.05706475687494458, + -0.02814234564754803, + -2.570643896164852e-16 + ], + [ + 0, + 0.02544121773650384, + 0.049099282869924175, + 0.07065119592891003, + 0.08984534513568802, + 0.106509260112395, + 0.1205551633434363, + 0.13198316433414367, + 0.1408820027562217, + 0.14742731070873982, + 0.15187742893173417, + 0.1545668757468074, + 0.15589762904252455, + 0.1563284392077603, + 0.1563624430773568, + 0.1565333943602028, + 0.15739086350716677, + 0.15948478857974857, + 0.16334977765631872, + 0.16948957215860586, + 0.17836207894742268, + 0.19036536713436136, + 0.20582500355630787, + 0.2249830692867571, + 0.24798915917757067, + 0.27489361822457786, + 0.30564321371556813, + 0.3400793820034861, + 0.37793912483956926, + 0.418858564087365, + 0.46237909696414325, + 0.5079560283840258, + 0.5549694941463266, + 0.6027374301978408, + 0.650530290469956, + 0.6975871701810208, + 0.7431329541579685, + 0.7863960816227833, + 0.8266265007362145, + 0.86311337847532, + 0.8952021343677056, + 0.9223103801750582, + 0.9439423715103427, + 0.95970161102975, + 0.9693012854627225, + 0.9725722693090795, + 0.9694684853212707, + 0.9600694745143146, + 0.9445800948841171, + 0.9233273366485159, + 0.8967543109796425, + 0.8654115371810007, + 0.8299457184140758, + 0.7910862568010383, + 0.7496298135323369, + 0.7064232671447747, + 0.6623454622376215, + 0.6182881705979915, + 0.5751367062781333, + 0.5337506451202406, + 0.494945097332589, + 0.4594729690234157, + 0.4280086253996485, + 0.40113333519754213, + 0.379322833635723, + 0.36293729079628684, + 0.3522139150728932, + 0.3472623585708751, + 0.3480630246318962, + 0.3544683086092877, + 0.36620673332107356, + 0.382889871951675, + 0.40402188522950894, + 0.42901143807734216, + 0.45718570510928197, + 0.48780612568264115, + 0.520085528877656, + 0.5532062177400797, + 0.5863385811190754, + 0.6186597909554853, + 0.6493721431550271, + 0.6777206111833632, + 0.7030092029485002, + 0.7246157428377191, + 0.7420047411562131, + 0.7547380616563478, + 0.762483153136295, + 0.7650186718453004, + 0.7622373861481225, + 0.7541463219672699, + 0.7408641752777727, + 0.7226160847013519, + 0.6997259213889984, + 0.6726063133160444, + 0.641746675372441, + 0.6076995638880169, + 0.5710657133394155, + 0.5324781429988436, + 0.4925857414892935, + 0.4520367471367409, + 0.4114625414441064, + 0.37146216200321447, + 0.3325879200187966, + 0.29533247690374465, + 0.2601176949163406, + 0.22728552956452844, + 0.19709117770783915, + 0.16969863631413704, + 0.14517876417309616, + 0.12350987411768448, + 0.10458081809550065, + 0.08819646340890247, + 0.07408539721958911, + 0.06190963953030781, + 0.05127609374310573, + 0.04174941983295109, + 0.03286597927169818, + 0.024148473988139792, + 0.01512088452457364, + 0.005323305572909448, + -0.0056737195878931385, + -0.018255750667956126, + -0.03275224943242613, + -0.049425955017301626, + -0.06846412309312143, + -0.08997186791087497, + -0.11396779153038261, + -0.14038202501366992, + -0.1690567435724525, + -0.19974915318093536, + -0.2321368816374314, + -0.26582564411785153, + -0.30035899350952117, + -0.33522991076492764, + -0.36989394157495764, + -0.40378354408110734, + -0.4363232791935419, + -0.4669454512140023, + -0.4951057925045645, + -0.520298782272339, + -0.5420721962759784, + -0.5600405012610549, + -0.573896734798869, + -0.5834225472901157, + -0.5884961273217069, + -0.5890977832422138, + -0.5853130114753194, + -0.5773329442958851, + -0.565452135007267, + -0.5500637050605648, + -0.5316519439873357, + -0.5107825174208401, + -0.4880904993451369, + -0.46426650050879537, + -0.44004121426554166, + -0.4161687427103943, + -0.39340909880804176, + -0.372510303417255, + -0.35419050909425015, + -0.3391205849546473, + -0.3279075885945735, + -0.32107953228709496, + -0.3190718218110167, + -0.32221570801550387, + -0.3307290444895362, + -0.34470959061437084, + -0.36413103913803146, + -0.3888418826826198, + -0.4185671658529038, + -0.4529131005096813, + -0.49137445299161053, + -0.5333445452966792, + -0.5781276491044061, + -0.6249534935801973, + -0.6729935565760293, + -0.7213787653887551, + -0.7692181987281653, + -0.8156183568331306, + -0.8597025523675257, + -0.9006299711856248, + -0.9376139593731166, + -0.9699391109728288, + -0.9969767590600397, + -1.018198510655862, + -1.0331875124398762, + -1.0416471882137783, + -1.043407249262061, + -1.0384268436872375, + -1.0267947788844638, + -1.0087268209055305, + -0.9845601438513849, + -0.9547450699378879, + -0.91983430486121, + -0.8804699319948893, + -0.8373684813535023, + -0.7913044338931167, + -0.7430925575126239, + -0.6935694972177172, + -0.6435750576948567, + -0.5939336216541709, + -0.545436141638944, + -0.4988231267306123, + -0.4547690191288924, + -0.41386831963225945, + -0.3766237764933592, + -0.3434369000956093, + -0.31460100769178767, + -0.290296939513029, + -0.2705915214609998, + -0.2554387819758871, + -0.24468386320043217, + -0.2380695009009736, + -0.23524488537680002, + -0.2357766583170327, + -0.2391617496512922, + -0.2448417151272961, + -0.25221820068440665, + -0.26066913450895085, + -0.26956523254930914, + -0.2782863985785679, + -0.2862376057023767, + -0.29286386233978645, + -0.2976638917190012, + -0.3002021891457699, + -0.30011916480907036, + -0.2971391305708766, + -0.2910759457508981, + -0.28183619792531533, + -0.2694198586639653, + -0.2539184193166999, + -0.2355105767805162, + -0.2144556020002652, + -0.19108458319551141, + -0.16578978997462604, + -0.13901245223406958, + -0.11122928784885082, + -0.08293814463513569, + -0.054643144121947505, + -0.026839726757521276, + -2.4418114816993406e-16 + ], + [ + 0, + 0.02396907605358364, + 0.046075227430963345, + 0.06604132020383767, + 0.0836633302807918, + 0.09881666314760448, + 0.11146025760714354, + 0.12163835737803108, + 0.12947989517648176, + 0.1351954961738282, + 0.13907216991414023, + 0.1414658203137886, + 0.1427917607099343, + 0.14351347361888706, + 0.144129901564766, + 0.14516159484996, + 0.14713607344689086, + 0.15057278248583086, + 0.155968033511676, + 0.1637803264395149, + 0.17441643985953298, + 0.18821866018295974, + 0.20545349348721717, + 0.22630216845328777, + 0.2508531953572201, + 0.2790971957474778, + 0.3109241614521945, + 0.34612324130109906, + 0.38438509091141915, + 0.42530675664362105, + 0.468399000983097, + 0.5130959147435205, + 0.5587666031660926, + 0.6047286796714643, + 0.6502632540516089, + 0.6946310624566484, + 0.7370893556412674, + 0.7769091403819769, + 0.8133923573252577, + 0.845888577098697, + 0.8738108053811994, + 0.8966500065983033, + 0.9139879845483738, + 0.9255082958988793, + 0.9310049182195879, + 0.930388446940321, + 0.9236896540592897, + 0.9110603041652264, + 0.8927711888452937, + 0.8692074072331584, + 0.8408609866782364, + 0.8083210016673041, + 0.772261409631439, + 0.733426877640226, + 0.6926169228610445, + 0.6506687308415869, + 0.6084390481436005, + 0.5667855688129672, + 0.5265482470457119, + 0.4885309708784335, + 0.45348402372644897, + 0.4220877423018188, + 0.3949377513064483, + 0.37253211799377955, + 0.3552607241321026, + 0.34339710019081093, + 0.33709290799117525, + 0.33637519504130864, + 0.34114647784567564, + 0.3511876442476061, + 0.36616359796490544, + 0.38563150354054915, + 0.4090514285301885, + 0.43579912337516313, + 0.4651806294289636, + 0.4964483632230796, + 0.5288182912942145, + 0.5614877855550239, + 0.5936537348490797, + 0.6245304843153803, + 0.6533671805721338, + 0.6794641173320107, + 0.7021877024485891, + 0.7209837028941597, + 0.7353884678863657, + 0.745037881219704, + 0.7496738505479034, + 0.7491482024938958, + 0.7434239165177783, + 0.732573695863286, + 0.7167759390139589, + 0.6963082383156282, + 0.6715385922069237, + 0.6429145723774553, + 0.6109507358024638, + 0.5762146127993658, + 0.5393116350190625, + 0.5008693908381635, + 0.46152160940313697, + 0.42189227828361936, + 0.38258029326136034, + 0.34414502240728667, + 0.307093140723672, + 0.27186705692872554, + 0.23883521133346944, + 0.20828447429824004, + 0.18041481971966464, + 0.15533638878697492, + 0.13306899735922398, + 0.11354407731705615, + 0.09660897972396462, + 0.08203350716781876, + 0.06951848576517539, + 0.05870613542808479, + 0.049191951417580246, + 0.04053777208165607, + 0.032285677951603996, + 0.023972346790065404, + 0.015143478257422415, + 0.005367900857108764, + -0.005749017247938372, + -0.018553013319412903, + -0.03332996293731673, + -0.05029659623260771, + -0.06959314901648864, + -0.09127814991584197, + -0.11532548897891058, + -0.14162385378314057, + -0.16997855736461165, + -0.20011571986022478, + -0.23168870419355211, + -0.2642866470058407, + -0.29744487083820065, + -0.3306569137150716, + -0.36338786903512366, + -0.3950886931517991, + -0.42521111113658744, + -0.453222733663247, + -0.47862199019618396, + -0.5009524859313508, + -0.5198164021924842, + -0.5348865819476464, + -0.5459169732552192, + -0.5527511430181653, + -0.5553286204510934, + -0.5536888829887806, + -0.5479728556693437, + -0.5384218568652016, + -0.5253739870736563, + -0.5092580217264535, + -0.490584932030509, + -0.4699372181323645, + -0.447956294895097, + -0.4253282208790689, + -0.4027681044568901, + -0.3810035562674589, + -0.36075758352150483, + -0.34273133832925784, + -0.3275871387851747, + -0.3159321778195072, + -0.30830332087073775, + -0.3051533695585098, + -0.3068391353014076, + -0.31361162501807405, + -0.325608591676994, + -0.34284964671176443, + -0.3652340705461997, + -0.3925413931546817, + -0.4244347502852182, + -0.46046695431440565, + -0.5000891533148512, + -0.5426618893981044, + -0.5874683092823465, + -0.6337292277511624, + -0.680619699502573, + -0.7272867179486746, + -0.7728676317269191, + -0.8165088517124196, + -0.8573844136248288, + -0.8947139640991719, + -0.9277797512780718, + -0.9559422242674349, + -0.9786538786170677, + -0.9954710265454173, + -1.0060632199142199, + -1.010220109774954, + -1.007855587296022, + -0.9990091155526586, + -0.9838442284459579, + -0.9626442402877402, + -0.935805275707703, + -0.9038267929013869, + -0.8672998323036181, + -0.8268932761108141, + -0.7833384503969032, + -0.7374124397555254, + -0.6899205135400632, + -0.6416780821705459, + -0.593492611180439, + -0.5461459194852386, + -0.500377276823145, + -0.4568676937538334, + -0.416225766559249, + -0.37897539965666505, + -0.3455456807080149, + -0.3162631296771997, + -0.2913464839931218, + -0.27090411918930085, + -0.25493413946819155, + -0.2433271071858973, + -0.23587131588666982, + -0.2322604498217973, + -0.23210341537987444, + -0.23493607794353805, + -0.24023459263817817, + -0.24742998034444585, + -0.2559235721021248, + -0.265102926309785, + -0.2743578143561668, + -0.28309587169017897, + -0.29075752277888806, + -0.29682980959804783, + -0.30085878368629726, + -0.302460160582803, + -0.3013279816610105, + -0.2972410807879203, + -0.2900672105446074, + -0.2797647434859942, + -0.2663819265586693, + -0.250053729752731, + -0.23099639174964862, + -0.209499824189699, + -0.18591809073972257, + -0.16065822602460184, + -0.13416770146845874, + -0.10692087912319838, + -0.07940481979286747, + -0.05210482756476324, + -0.02549011884251869, + -2.309731784318247e-16 + ], + [ + 0, + 0.02248605946609083, + 0.04305510595381898, + 0.06147557213102018, + 0.077589809276013, + 0.09131900474736397, + 0.10266589469968658, + 0.11171519336432026, + 0.11863171977558344, + 0.12365626295539137, + 0.12709928574559745, + 0.12933262419573888, + 0.13077939223190518, + 0.13190234890507613, + 0.13319102663001745, + 0.13514795242537647, + 0.1382743193863981, + 0.1430554818076054, + 0.1499466540939424, + 0.1593591906624834, + 0.17164781149229627, + 0.1870991161180735, + 0.2059216982086367, + 0.22823813417072397, + 0.25407907342095554, + 0.2833796062035631, + 0.3159780283789844, + 0.35161706286937927, + 0.3899475359071984, + 0.43053444442612837, + 0.47286529040406705, + 0.5163605002309533, + 0.5603856936798108, + 0.6042655191545712, + 0.6472987307843117, + 0.6887741496756146, + 0.7279871270752009, + 0.7642561119724768, + 0.7969389201945164, + 0.8254483064821209, + 0.8492664553076216, + 0.8679580299821645, + 0.8811814523454393, + 0.8886981262548597, + 0.8903793662111065, + 0.8862108466103339, + 0.8762944459867618, + 0.86084742277073, + 0.8401989230208756, + 0.8147838847331796, + 0.7851344661146159, + 0.7518691850966945, + 0.7156800128847353, + 0.6773177141282576, + 0.6375757691311177, + 0.597273248341313, + 0.5572370353092009, + 0.5182838107356894, + 0.48120221673782476, + 0.4467356168702353, + 0.4155658538362507, + 0.38829838352705703, + 0.36544913160267584, + 0.3474333780609275, + 0.3345569271196582, + 0.3270097654335908, + 0.3248623525015192, + 0.3280646245322214, + 0.3364477285518619, + 0.34972843872088744, + 0.36751614326093635, + 0.38932222961685864, + 0.4145716389708468, + 0.44261631035433596, + 0.47275019059875456, + 0.5042254502887176, + 0.5362695185957554, + 0.5681025320249754, + 0.5989547841171126, + 0.6280837651868365, + 0.6547903931719771, + 0.6784340582992184, + 0.6984461349858143, + 0.7143416534173445, + 0.7257288695888112, + 0.7323165251126402, + 0.7339186454744534, + 0.7304567862311973, + 0.7219596993894712, + 0.7085604553238679, + 0.6904911175386588, + 0.6680751268168763, + 0.6417176063845831, + 0.611893849296945, + 0.5791362921180946, + 0.5440203140794806, + 0.507149227416765, + 0.469138841874339, + 0.43060199403063204, + 0.3921334299784326, + 0.35429541807810416, + 0.31760444731473014, + 0.2825193367928496, + 0.2494310438727949, + 0.21865441336807226, + 0.19042205923526948, + 0.16488051459344416, + 0.14208872711836942, + 0.1220189163555513, + 0.10455974881168316, + 0.08952172734652496, + 0.07664463488911344, + 0.06560682026327411, + 0.056036067238323155, + 0.047521747990578934, + 0.03962792996817553, + 0.031907081498330644, + 0.023914006949728082, + 0.015219637219977003, + 0.005424305877126726, + -0.0058298446789377505, + -0.01884765951721399, + -0.03387127074492495, + -0.05107216175975676, + -0.07054521149120412, + -0.09230488228352672, + -0.11628365918348865, + -0.1423327896882465, + -0.1702253129711615, + -0.1996613077588263, + -0.23027522990030766, + -0.2616451557264485, + -0.293303696941074, + -0.32475030830094376, + -0.3554646718647004, + -0.3849208120854554, + -0.41260157525018626, + -0.43801309527657306, + -0.4606988659766423, + -0.4802530476584954, + -0.4963326531919783, + -0.5086682850023594, + -0.5170731292402779, + -0.5214499557560055, + -0.5217959214389148, + -0.5182050287604865, + -0.510868149636331, + -0.5000705855520097, + -0.486187196764228, + -0.4696751947495531, + -0.45106475139244084, + -0.4309476341958259, + -0.40996412765802553, + -0.3887885456059648, + -0.3681136765750266, + -0.34863453332844896, + -0.33103179756616075, + -0.31595536125923035, + -0.3040083665725008, + -0.2957321369591671, + -0.2915923729266343, + -0.29196695762321545, + -0.29713568045018773, + -0.30727214224730576, + -0.3224380543080417, + -0.34258008679527374, + -0.3675293614259621, + -0.39700362005288314, + -0.43061203653635693, + -0.46786257563947, + -0.5081717411554467, + -0.5508764975941349, + -0.5952480969372016, + -0.6405074955173697, + -0.6858420071296245, + -0.7304228080032219, + -0.7734228880065178, + -0.8140350309512746, + -0.8514894053993834, + -0.8850703559973827, + -0.9141320038701897, + -0.9381122925503877, + -0.9565451526273369, + -0.9690705028805162, + -0.9754418570307063, + -0.9755313621510293, + -0.9693321558427662, + -0.9569579930118118, + -0.9386401579296201, + -0.91472174164989, + -0.8856494272136373, + -0.8519629838959424, + -0.8142827256008944, + -0.7732952360933688, + -0.7297377039183575, + -0.684381241635451, + -0.6380135866286822, + -0.5914215937069954, + -0.5453739326929027, + -0.5006043971564622, + -0.45779621358496664, + -0.417567714022818, + -0.38045970023897646, + -0.34692478466146215, + -0.31731894373203934, + -0.29189546421609963, + -0.27080140372343653, + -0.25407662472537473, + -0.24165539822611565, + -0.23337051052024446, + -0.22895974568937522, + -0.22807455915296893, + -0.23029070509678004, + -0.23512053423936882, + -0.24202663928997567, + -0.2504364945447228, + -0.2597577141015712, + -0.26939354066315385, + -0.27875817411968934, + -0.2872915560978843, + -0.29447324321923757, + -0.29983502748741125, + -0.30297199634831873, + -0.3035517666574873, + -0.30132167497939927, + -0.296113760104872, + -0.2878474310475967, + -0.27652977361689174, + -0.26225350944860065, + -0.24519268157695787, + -0.22559619873110223, + -0.2037794250799495, + -0.1801140517589646, + -0.15501652994820472, + -0.12893538144585195, + -0.10233773069203977, + -0.07569542134700454, + -0.0494710903420475, + -0.024104572563324062, + -2.1754546616233328e-16 + ], + [ + 0, + 0.021003180515095428, + 0.04006028219161341, + 0.05698445210565296, + 0.07166268911909286, + 0.08405940678974078, + 0.0942178263216305, + 0.10225915647898015, + 0.10837957517507571, + 0.11284508493423409, + 0.11598437015156313, + 0.1181798366253871, + 0.1198570618736942, + 0.12147292704399408, + 0.12350273670393797, + 0.12642666054673182, + 0.13071585034292577, + 0.13681859581222464, + 0.14514688419356103, + 0.15606372010848052, + 0.16987154502473759, + 0.1868020696455619, + 0.20700779850581355, + 0.230555484783018, + 0.2574217058455947, + 0.287490697536634, + 0.3205545289319568, + 0.35631564071475885, + 0.3943917108360784, + 0.43432275226601397, + 0.4755802908584735, + 0.517578418077151, + 0.5596864649031044, + 0.6012430008878984, + 0.6415708271056012, + 0.6799926045917869, + 0.7158467414399469, + 0.7485031525418414, + 0.7773785062667858, + 0.8019505821995008, + 0.8217713831851929, + 0.8364786729214572, + 0.8458056465268547, + 0.8495884850390498, + 0.8477715946017881, + 0.8404103859833097, + 0.8276715086949685, + 0.8098305149192481, + 0.7872669902227936, + 0.7604572491115413, + 0.7299647523848621, + 0.6964284585187279, + 0.6605493715959515, + 0.6230755923672133, + 0.5847862157833397, + 0.546474446879205, + 0.5089303265049447, + 0.47292346860161233, + 0.43918621124693885, + 0.4083975745302833, + 0.38116839966944366, + 0.3580280161035254, + 0.3394127472542025, + 0.32565652211663376, + 0.31698380987815306, + 0.31350503958258497, + 0.31521460780303884, + 0.32199151579329843, + 0.3336026151536955, + 0.3497083791902297, + 0.3698710573693328, + 0.3935650140268469, + 0.4201890011425444, + 0.44908006978389514, + 0.4795287868460917, + 0.5107953938825031, + 0.5421265238430526, + 0.572772079911389, + 0.602001878619545, + 0.6291216670482728, + 0.6534881409837802, + 0.6745226169562417, + 0.6917230454717208, + 0.704674094602472, + 0.7130550813742905, + 0.7166455818811959, + 0.715328608438249, + 0.7090913019309748, + 0.6980231483546807, + 0.6823117888580629, + 0.6622365509277353, + 0.6381598832413664, + 0.6105169268327327, + 0.5798034993291699, + 0.546562806068994, + 0.511371220989693, + 0.4748235006026723, + 0.43751780565960413, + 0.40004090701927447, + 0.36295394472673936, + 0.3267790926370217, + 0.2919874555000395, + 0.25898849193551643, + 0.2281212160294864, + 0.19964738341925523, + 0.17374681589476623, + 0.15051496304668577, + 0.12996274173957248, + 0.11201863564065076, + 0.09653297916653822, + 0.0832842944780226, + 0.07198749795691607, + 0.06230374524857001, + 0.053851642634832005, + 0.04621951824791937, + 0.03897842030005341, + 0.031695491740839965, + 0.023947362002129904, + 0.015333196959206458, + 0.005487057906084538, + -0.005910761041677345, + -0.01912372061927342, + -0.034350617801843765, + -0.051718987801860086, + -0.07128050598658349, + -0.09300851682674655, + -0.11679776148976034, + -0.14246631830343312, + -0.16975971249519464, + -0.19835709482454297, + -0.2278793344152487, + -0.2578988206396866, + -0.28795072359563667, + -0.3175454237028424, + -0.3461817892320481, + -0.37336095698034966, + -0.3986002564374619, + -0.421446912043399, + -0.4414911616857999, + -0.45837844235822756, + -0.4718203156011253, + -0.4816038354520363, + -0.4875990994067279, + -0.4897647674100357, + -0.4881513840557141, + -0.48290239373617044, + -0.47425279609065496, + -0.46252544832038467, + -0.4481250802937007, + -0.4315301463697839, + -0.41328269307190907, + -0.3939764727536111, + -0.37424357893749766, + -0.3547399179141884, + -0.3361298624775478, + -0.31907045653867844, + -0.3041955532089158, + -0.2921002733977736, + -0.2833261668936438, + -0.27834744337738465, + -0.27755861718980224, + -0.28126387748767456, + -0.2896684554462627, + -0.30287221336014297, + -0.3208656279900794, + -0.3435282835756908, + -0.37062992996749994, + -0.4018340997904331, + -0.4367042169383473, + -0.4747120685240377, + -0.5152484551469655, + -0.5576357813976781, + -0.6011423011953679, + -0.6449976920189205, + -0.6884095993421953, + -0.7305807684319006, + -0.770726365711262, + -0.8080910865103422, + -0.8419656503553249, + -0.8717022988974287, + -0.8967289348150331, + -0.9165615719798381, + -0.9308148070859832, + -0.9392100698310425, + -0.9415814614704427, + -0.9378790488592375, + -0.9281695415535426, + -0.9126343416969799, + -0.891565018753237, + -0.8653563221484112, + -0.8344969030740398, + -0.7995579706611906, + -0.76118015616028, + -0.7200589004796208, + -0.6769287144426822, + -0.6325466866049125, + -0.5876756298204675, + -0.5430672645871545, + -0.49944583437812295, + -0.4574925357822651, + -0.4178311246478959, + -0.3810150291081361, + -0.34751626212703707, + -0.31771638100091265, + -0.29189969020797163, + -0.2702488283908025, + -0.252842821460211, + -0.23965762328073717, + -0.23056910463289373, + -0.22535839164260457, + -0.22371939808750402, + -0.22526834332544704, + -0.22955500033031911, + -0.2360753776149003, + -0.24428550565584098, + -0.25361597360835475, + -0.2634868461956086, + -0.27332258404478843, + -0.2825665935513751, + -0.29069504448339833, + -0.29722961465492553, + -0.3017488505457491, + -0.303897869956614, + -0.30339617671072433, + -0.3000434069217835, + -0.293722880188045, + -0.28440288587652046, + -0.27213569299575835, + -0.2570543305478005, + -0.2393672422296463, + -0.21935097348894764, + -0.19734109886868986, + -0.17372164204967822, + -0.14891327890475484, + -0.12336064426840786, + -0.09751908524333079, + -0.07184121716380122, + -0.04676364248923939, + -0.022694187815095433, + -2.0400191725891347e-16 + ], + [ + 0, + 0.019531041661630843, + 0.03711099861013011, + 0.05259635673429918, + 0.06591655909829033, + 0.07707627685756153, + 0.08615556684643114, + 0.09330790615208927, + 0.09875614948627691, + 0.1027865095596554, + 0.10574071257344515, + 0.10800652904815666, + 0.11000692328485148, + 0.11218810170058309, + 0.11500677014985987, + 0.11891693236851793, + 0.12435657528209029, + 0.1317345917453272, + 0.14141828718088403, + 0.15372180364526, + 0.16889577337288403, + 0.18711848435368214, + 0.20848880370644388, + 0.23302106142509513, + 0.2606420485647103, + 0.291190231301433, + 0.3244172268536475, + 0.3599915303722205, + 0.39750442501555067, + 0.4364779519442142, + 0.47637476429172715, + 0.5166096406172714, + 0.5565623901481188, + 0.5955918453686069, + 0.6330506081454683, + 0.6683001943514958, + 0.7007262094157096, + 0.7297531837287713, + 0.7548587024843498, + 0.7755864792310021, + 0.7915580458111998, + 0.8024827629245324, + 0.8081658945180447, + 0.8085145346407645, + 0.8035412262027539, + 0.7933651660178723, + 0.7782109482458751, + 0.7584048574741673, + 0.7343687817464072, + 0.7066118734072492, + 0.6757201402773766, + 0.6423442000579864, + 0.6071854757489101, + 0.5709811481432048, + 0.5344882121874107, + 0.49846700640944464, + 0.46366459815680827, + 0.4307984117152144, + 0.40054048137606246, + 0.37350269730327246, + 0.35022338895429206, + 0.33115555939308194, + 0.31665704485446133, + 0.3069828283251733, + 0.3022796848048192, + 0.30258328054201145, + 0.3078177902544424, + 0.31779803655404004, + 0.3322340959642201, + 0.3507382574902318, + 0.37283416410518194, + 0.3979679160929277, + 0.4255208691905604, + 0.4548238210098365, + 0.48517224723948504, + 0.515842225405214, + 0.5461066690547246, + 0.5752514894871642, + 0.6025913056815694, + 0.62748433578953, + 0.649346125111866, + 0.6676617953282986, + 0.6819965371413846, + 0.6920041124953532, + 0.6974331820400869, + 0.6981313273001826, + 0.6940466937453095, + 0.6852272392379186, + 0.6718176307192469, + 0.6540538890467699, + 0.6322559362139037, + 0.6068182494347889, + 0.5781988715358397, + 0.5469070656677208, + 0.5134899336034345, + 0.478518340071, + 0.44257250013515687, + 0.406227592259519, + 0.3700397562394205, + 0.33453282281273894, + 0.30018610076997476, + 0.26742351834785955, + 0.23660437935459672, + 0.20801595177145277, + 0.18186805859403105, + 0.15828978863589843, + 0.13732839023511736, + 0.11895035466448226, + 0.10304463996430907, + 0.08942793130374216, + 0.07785178220500605, + 0.06801143333356693, + 0.059556063258695564, + 0.052100189680843886, + 0.04523591099997367, + 0.03854565747383225, + 0.03161510909659664, + 0.024045934011273144, + 0.015468006827030817, + 0.005550780495074841, + -0.005986491966028116, + -0.019365959192429807, + -0.03474403252983749, + -0.05220609884739851, + -0.07176322913434169, + -0.09335097478558466, + -0.11683028897243344, + -0.14199055497484886, + -0.16855464823149163, + -0.19618590554243454, + -0.22449682469226218, + -0.25305927202488004, + -0.28141593536199966, + -0.30909272614137234, + -0.33561180861919954, + -0.3605049161073852, + -0.3833266049695598, + -0.4036670967331547, + -0.42116436721843636, + -0.43551515884573455, + -0.4464846178464415, + -0.45391429134989025, + -0.45772825943129297, + -0.4579372231963475, + -0.45464042070737765, + -0.44802529676467623, + -0.4383649088959498, + -0.4260131089713316, + -0.41139759622485783, + -0.3950109917136823, + -0.3774001350210624, + -0.35915385002939054, + -0.3408894666917811, + -0.3232384188961409, + -0.30683126389555365, + -0.2922824857160654, + -0.2801754529984824, + -0.2710479006552518, + -0.265378294522963, + -0.2635734190878004, + -0.2659575007984776, + -0.272763144112138, + -0.2841243150910619, + -0.30007155910311256, + -0.3205295861465606, + -0.3453173008100127, + -0.3741502952685944, + -0.4066457644402939, + -0.44232974393265684, + -0.480646515133769, + -0.5209699691246311, + -0.5626166733079347, + -0.6048603429377865, + -0.6469473851255535, + -0.6881131562447326, + -0.7275985556248812, + -0.7646665694620884, + -0.7986183792106933, + -0.8288086583593787, + -0.8546597002080085, + -0.8756740466009103, + -0.8914453228773364, + -0.9016670267153203, + -0.9061390670410373, + -0.9047719025736968, + -0.8975881865770479, + -0.884721883606326, + -0.8664148840332204, + -0.8430112014422992, + -0.8149488951786413, + -0.7827499139995997, + -0.7470081056418493, + -0.7083756799755947, + -0.667548449246368, + -0.6252501968397316, + -0.5822165453790017, + -0.5391787053243369, + -0.4968474863490609, + -0.45589794561886277, + -0.4169550299118144, + -0.3805805427339314, + -0.3472617338583755, + -0.3174017678933243, + -0.2913122815830917, + -0.26920818773670085, + -0.25120482824352675, + -0.23731752094937988, + -0.22746348665366925, + -0.2214660845916063, + -0.21906122890915314, + -0.21990580619309588, + -0.22358786636764555, + -0.22963831737650228, + -0.23754381905188685, + -0.24676054427336708, + -0.2567284565899375, + -0.2668857433597671, + -0.2766830423747781, + -0.2855971078780577, + -0.2931435786226607, + -0.29888853571395235, + -0.3024585707700547, + -0.3035491245818702, + -0.30193090194157335, + -0.29745421847888986, + -0.2900511889256838, + -0.2797357218661796, + -0.26660134231862803, + -0.2508169190165168, + -0.23262042661749072, + -0.21231092292618028, + -0.19023896632348816, + -0.16679573782088639, + -0.14240116452440246, + -0.11749136599339124, + -0.09250576140164335, + -0.06787418314933412, + -0.044004341449148596, + -0.021269974457218586, + -1.904440873366374e-16 + ], + [ + 0, + 0.018079711093681262, + 0.03422614664471808, + 0.04833726817973926, + 0.06038232903736794, + 0.07040292938550795, + 0.07851203444071038, + 0.08489097706534504, + 0.089784518664339, + 0.09349409322121786, + 0.09636940710891113, + 0.09879861076787191, + 0.1011972963544062, + 0.10399660705374547, + 0.1076307681139514, + 0.11252436615784613, + 0.11907971153742725, + 0.12766461818322564, + 0.13860092655819828, + 0.15215407815473447, + 0.1685240248863761, + 0.18783772433450063, + 0.2101434329103862, + 0.23540696454537835, + 0.26351003362772085, + 0.29425074877903, + 0.3273462700047107, + 0.36243758711032936, + 0.39909632341696316, + 0.4368334170832912, + 0.47510948405080855, + 0.5133466229885286, + 0.5509413847292441, + 0.58727859752447, + 0.6217457157981681, + 0.6537473445639499, + 0.6827195846995784, + 0.708143846048194, + 0.7295597858231415, + 0.7465770488015359, + 0.758885512858728, + 0.7662637778791652, + 0.7685856771515787, + 0.7658246370262246, + 0.7580557617471075, + 0.7454555747283117, + 0.7282994037945919, + 0.7069564546769357, + 0.68188267295333, + 0.6536115482820849, + 0.622743064871263, + 0.5899310474301942, + 0.5558691912407762, + 0.5212760974942167, + 0.48687965985753634, + 0.45340116474605374, + 0.4215394755686425, + 0.39195567008080695, + 0.3652584899440727, + 0.34199094288461096, + 0.32261837091757184, + 0.3075182636062978, + 0.29697205409265176, + 0.29115908866694096, + 0.29015290908431923, + 0.29391993193279553, + 0.30232055245130096, + 0.31511264266875383, + 0.33195735698550227, + 0.35242710372616587, + 0.3760154900832489, + 0.4021490014835722, + 0.43020013586730493, + 0.4595016796510041, + 0.4893617860621136, + 0.519079498705411, + 0.5479603540714738, + 0.5753316964292385, + 0.6005573471474247, + 0.6230512877327629, + 0.6422900413154464, + 0.6578234703113596, + 0.6692837477197082, + 0.6763923049826911, + 0.6789646094103923, + 0.6769126776177237, + 0.6702452869087361, + 0.6590659027073441, + 0.6435683955887664, + 0.6240306748497858, + 0.600806415559233, + 0.5743151014304447, + 0.545030645548916, + 0.5134688840089328, + 0.4801742630679428, + 0.4457060579092335, + 0.41062447010595754, + 0.37547695120832564, + 0.34078509155218695, + 0.30703239664786675, + 0.27465324879854425, + 0.24402331956053275, + 0.2154516601179814, + 0.18917465258628405, + 0.1653519568023465, + 0.14406453553378193, + 0.12531478754787503, + 0.10902876397368444, + 0.09506039022645851, + 0.0831975647784022, + 0.07316995853286665, + 0.06465829568049061, + 0.05730485975754547, + 0.05072493811549254, + 0.044518894905073096, + 0.038284547549680845, + 0.031629514901665004, + 0.024183207001588974, + 0.01560813654016974, + 0.005610250488717596, + -0.0060519935564849504, + -0.019560048644147864, + -0.03502940035180897, + -0.05250554775199308, + -0.07196195332692948, + -0.09330002025845394, + -0.11635110254809825, + -0.14088050026309712, + -0.16659334020669822, + -0.1931421927966776, + -0.22013623016365405, + -0.24715168961649403, + -0.27374337170918306, + -0.29945687407648053, + -0.32384124170759615, + -0.3464617019316662, + -0.36691214842635816, + -0.3848270431504573, + -0.39989241814694254, + -0.4118556803564299, + -0.420533951408524, + -0.42582071011462036, + -0.4276905471890579, + -0.4262018885420539, + -0.4214975941556611, + -0.4138033928125441, + -0.40342416746854814, + -0.39073816048150056, + -0.37618922086735895, + -0.36027726592143994, + -0.34354717565410753, + -0.3265763793825017, + -0.30996142845534613, + -0.2943038765827331, + -0.28019580888865353, + -0.268205372086009, + -0.2588626607834145, + -0.25264630877639765, + -0.24997111937567287, + -0.2511770457196551, + -0.2565198011511407, + -0.26616334184621615, + -0.28017441987921005, + -0.29851935585603273, + -0.3210631273413709, + -0.34757081383219246, + -0.377711382345826, + -0.41106374118260536, + -0.4471249344761433, + -0.48532029810765376, + -0.5250153497141425, + -0.5655291430422335, + -0.6061487808381036, + -0.6461447517116631, + -0.6847867356831828, + -0.7213595109310466, + -0.7551785909185612, + -0.7856052266780948, + -0.8120604234450889, + -0.8340376437196876, + -0.8511138996391698, + -0.8629589755249858, + -0.8693425657033399, + -0.8701391621135266, + -0.8653305796127558, + -0.8550060629614066, + -0.8393599768647628, + -0.8186871377604973, + -0.7933759018822544, + -0.7638991771419658, + -0.7308035752706673, + -0.6946969642545486, + -0.6562347183459067, + -0.616104992920139, + -0.5750133734709348, + -0.5336672615641526, + -0.49276036529246087, + -0.4529576575905248, + -0.4148811528056738, + -0.3790968305083321, + -0.3461030062137418, + -0.3163204122083486, + -0.29008420894284975, + -0.26763809953285667, + -0.2491306679872759, + -0.23461400714964842, + -0.22404464633892193, + -0.21728673269438825, + -0.21411736564238798, + -0.21423393205013372, + -0.21726324178415, + -0.22277222071528072, + -0.23027988174609582, + -0.23927026506090374, + -0.24920601721669314, + -0.25954226541371567, + -0.2697404386080612, + -0.27928169114237905, + -0.28767959714539343, + -0.2944918047438011, + -0.29933036759574017, + -0.3018705066570742, + -0.30185759652316996, + -0.2991122170935963, + -0.29353316150744335, + -0.28509834402240813, + -0.27386360543030847, + -0.25995946735688824, + -0.24358593903272863, + -0.2250055295333118, + -0.20453466383115881, + -0.18253374114694432, + -0.15939610802717485, + -0.1355362454680574, + -0.11137748858151073, + -0.0873396082874924, + -0.06382658705084689, + -0.04121491470771608, + -0.019842716107259486, + -1.7696995801236689e-16 + ], + [ + 0, + 0.01665860683072475, + 0.03142305677696039, + 0.044230477548482534, + 0.05508691788053341, + 0.06406727480880174, + 0.07131327843928047, + 0.07702958344631655, + 0.08147806613146878, + 0.08497047300313788, + 0.08785961029375206, + 0.09052930251066621, + 0.09338338103137882, + 0.09683399005996658, + 0.10128951628205013, + 0.1071424597949672, + 0.11475756704813028, + 0.12446054150855353, + 0.13652763467647253, + 0.1511763992269897, + 0.16855785795225187, + 0.18875030751420932, + 0.21175493564577896, + 0.23749338535823522, + 0.2658073510447278, + 0.2964602403259642, + 0.32914088333818387, + 0.3634692192198008, + 0.3990038391133786, + 0.43525121733123445, + 0.4716764186368077, + 0.5077150309746027, + 0.5427860404195962, + 0.5763053394445805, + 0.6076995414834944, + 0.636419764676799, + 0.6619550458993332, + 0.6838450527643751, + 0.7016917761346358, + 0.7151699084118701, + 0.7240356429854296, + 0.7281336669766759, + 0.7274021619350385, + 0.7218756743927328, + 0.7116857690199498, + 0.6970594303010993, + 0.6783152328758019, + 0.655857354627935, + 0.6301675589389918, + 0.6017953219624717, + 0.5713463261072164, + 0.5394695810220234, + 0.5068434672607112, + 0.4741610246369004, + 0.4421148263838144, + 0.411381791138258, + 0.3826082871918222, + 0.3563958773264304, + 0.3332880380150992, + 0.3137581641680394, + 0.2981991404823996, + 0.28691472353922987, + 0.2801129359780048, + 0.27790162640678084, + 0.280286297332977, + 0.2871702495749399, + 0.2983570366467441, + 0.313555167834712, + 0.33238494543531866, + 0.354387271194083, + 0.37903421059743486, + 0.40574106244858643, + 0.43387964610061397, + 0.46279249067021205, + 0.49180759018613807, + 0.5202533764205436, + 0.5474735573919155, + 0.5728414742901281, + 0.5957736427234391, + 0.6157421653840304, + 0.6322857319365497, + 0.6450189574322804, + 0.6536398519541856, + 0.6579352604754142, + 0.6577841619180994, + 0.6531587688933267, + 0.6441234232907052, + 0.6308313364442814, + 0.6135192747135253, + 0.592500340705485, + 0.5681550458185656, + 0.5409209102013275, + 0.5112808606100029, + 0.47975072418618825, + 0.4468661362030565, + 0.4131691918740443, + 0.3791951761106795, + 0.3454597005903112, + 0.31244656479082317, + 0.2805966371120215, + 0.25029802437051296, + 0.22187776354516742, + 0.1955952295448962, + 0.17163740799063415, + 0.15011613368497195, + 0.1310673448077715, + 0.11445235120171093, + 0.10016106369898661, + 0.08801708158147774, + 0.07778448821230154, + 0.06917616180537883, + 0.06186337028805564, + 0.05548638720809614, + 0.04966584043645247, + 0.04401448764510522, + 0.03814910263155732, + 0.031702154756641676, + 0.024332970094489183, + 0.015738077192382176, + 0.005660462232939175, + -0.0061025126802244515, + -0.019692739168233872, + -0.03518671058676203, + -0.052592713844916476, + -0.07184994226777981, + -0.09282955652785642, + -0.11533766973684763, + -0.13912018242384763, + -0.16386934460837274, + -0.18923187673979472, + -0.2148184400751976, + -0.24021421115584018, + -0.26499028533658153, + -0.2887156115856935, + -0.3109691455927066, + -0.3313519009982517, + -0.34949857949145935, + -0.3650884696019268, + -0.377855321034226, + -0.387595925943318, + -0.39417717002928526, + -0.3975413539647441, + -0.3977096285276325, + -0.3947834338325933, + -0.3889438830662736, + -0.38044908288878954, + -0.3696294348721975, + -0.3568810137000598, + -0.34265716706132887, + -0.3274585279990011, + -0.31182167176282205, + -0.2963066849199495, + -0.28148394368867663, + -0.26792042042843933, + -0.25616585137309245, + -0.2467391046554662, + -0.24011508526361575, + -0.23671250282444278, + -0.23688280926656946, + -0.2409005869108926, + -0.24895563400403953, + -0.2611469549521568, + -0.2774788174908153, + -0.29785898983407477, + -0.3220992186797334, + -0.34991795508209356, + -0.3809452809560095, + -0.41472993567605976, + -0.4507482911911312, + -0.4884150765424928, + -0.5270956098235113, + -0.5661192585088554, + -0.6047938186282013, + -0.6424204802197638, + -0.6783090314467193, + -0.7117929470742227, + -0.7422440088603032, + -0.769086115775763, + -0.7918079605927636, + -0.8099742758231752, + -0.8232353856081818, + -0.8313348401462677, + -0.834114954627742, + -0.8315201243180113, + -0.8235978401916615, + -0.8104973840820128, + -0.7924662373494603, + -0.769844291248349, + -0.7430559991699252, + -0.712600659495369, + -0.6790410617306644, + -0.6429907668502722, + -0.6051003244258769, + -0.5660427533989312, + -0.5264986296915669, + -0.48714113185591534, + -0.44862139545719915, + -0.4115545179009028, + -0.37650653818646984, + -0.34398269103894474, + -0.31441720266638606, + -0.2881648568202783, + -0.2654945158598185, + -0.24658473323056468, + -0.2315215423599309, + -0.22029845371697523, + -0.21281863799546083, + -0.20889922038125824, + -0.20827755995951494, + -0.21061934075092206, + -0.21552825780171453, + -0.22255704423689704, + -0.23121955412890946, + -0.241003592180929, + -0.2513841651413207, + -0.26183682192564034, + -0.27185074979402424, + -0.28094130257723116, + -0.288661653620718, + -0.29461329038030404, + -0.2984550988249377, + -0.29991082317915674, + -0.29877472911608965, + -0.29491534520913776, + -0.2882772070843103, + -0.2788805800319926, + -0.2668191875433907, + -0.2522560240325138, + -0.23541737861382742, + -0.21658524201028095, + -0.1960883093350665, + -0.17429182660770606, + -0.15158655755614114, + -0.12837716880915614, + -0.10507034546581391, + -0.08206295490209801, + -0.059730574402800225, + -0.03841668785720714, + -0.018422838601824913, + -1.6367277411403843e-16 + ], + [ + 0, + 0.015276390442690474, + 0.02871731077278387, + 0.0402963453344223, + 0.05005299590065651, + 0.05809157982931345, + 0.06457829546537476, + 0.06973652905163726, + 0.07384052353128526, + 0.07720757271786265, + 0.0801889432733099, + 0.08315976077977744, + 0.08650812405053356, + 0.0906237329840844, + 0.09588632917618746, + 0.1026542548011209, + 0.11125343378181904, + 0.1219670700093552, + 0.1350263405620891, + 0.1506023379199889, + 0.1687994846566614, + 0.18965060777256898, + 0.21311381860686426, + 0.23907129915604694, + 0.267330047758295, + 0.2976245876673302, + 0.32962159227509774, + 0.3629263318953644, + 0.39709080031723576, + 0.4316233359544894, + 0.4659995134491352, + 0.4996740480238132, + 0.53209342757313, + 0.5627089671406529, + 0.590989967576149, + 0.6164366551520651, + 0.6385925818904636, + 0.657056177265102, + 0.6714911605544449, + 0.6816355489951178, + 0.6873090294059242, + 0.688418499338422, + 0.6849616271329202, + 0.6770283274663544, + 0.6648000989206144, + 0.6485472215564231, + 0.6286238641892128, + 0.6054612017612666, + 0.5795586916431691, + 0.5514737026853391, + 0.5218097312679667, + 0.4912034734665497, + 0.46031105089684904, + 0.429793709120771, + 0.400303321150547, + 0.3724680342375042, + 0.34687839562431333, + 0.3240742823265667, + 0.3045329415401584, + 0.2886584223873038, + 0.2767726470399753, + 0.2691083305857636, + 0.26580391526525093, + 0.2669006369740539, + 0.2723417913466427, + 0.2819742145525211, + 0.2955519414072197, + 0.3127419518078435, + 0.3331318670992624, + 0.3562394119621126, + 0.38152341590339695, + 0.40839609242973895, + 0.43623630436132704, + 0.4644035012136257, + 0.4922519996717812, + 0.5191452712595304, + 0.5444699025146769, + 0.5676489022811612, + 0.5881540478699736, + 0.6055169863912636, + 0.6193388389012211, + 0.6292980923562917, + 0.6351566067949372, + 0.6367636116208426, + 0.634057614191491, + 0.6270661949042521, + 0.615903714361751, + 0.6007670087254235, + 0.5819291977906438, + 0.5597317754532234, + 0.5345751929836446, + 0.5069081808914095, + 0.47721608429189305, + 0.4460085088830249, + 0.4138065893731678, + 0.38113019913533125, + 0.34848541885093587, + 0.3163525730013105, + 0.2851751265152433, + 0.25534971012424657, + 0.2272175126300983, + 0.20105724213073348, + 0.1770798172030897, + 0.15542490414719465, + 0.13615936879081134, + 0.11927766223983438, + 0.10470411057322812, + 0.09229703006390218, + 0.08185454327340247, + 0.07312192847652063, + 0.06580029639420598, + 0.05955635510932117, + 0.05403299713338342, + 0.048860422550303484, + 0.04366749947877832, + 0.03809305807642953, + 0.03179681707096704, + 0.02446965226569005, + 0.015842934353988626, + 0.005696688228912674, + -0.0061336428469810425, + -0.019752008134729836, + -0.035198273988707354, + -0.05244655585917606, + -0.07140540421760626, + -0.0919198424198062, + -0.1137752060688619, + -0.13670268623907866, + -0.16038643417281345, + -0.18447204390233385, + -0.20857619272706632, + -0.23229718852504422, + -0.2552261482889152, + -0.27695851468492133, + -0.29710560729576135, + -0.3153059027962314, + -0.3312357437009481, + -0.34461918839729205, + -0.35523673562163305, + -0.362932683854929, + -0.3676209196335927, + -0.36928896766492486, + -0.3680001789389614, + -0.3638939796635314, + -0.3571841526542232, + -0.34815517256681056, + -0.3371566658210069, + -0.32459611399060584, + -0.3109299646209115, + -0.2966533547406851, + -0.2822886887173943, + -0.26837334263666934, + -0.2554467912883492, + -0.2440374704944029, + -0.23464969647922865, + -0.22775096501129638, + -0.22375994608419764, + -0.2230354751004858, + -0.22586681921348634, + -0.23246546819754796, + -0.2429586636568036, + -0.2573848394039878, + -0.27569110043752826, + -0.2977328192216689, + -0.3232753771195544, + -0.3519980270867526, + -0.38349980237051245, + -0.41730734623885946, + -0.452884490906176, + -0.48964337098211397, + -0.5269568190058016, + -0.5641717588711869, + -0.6006232879895755, + -0.63564912149381, + -0.6686040621052283, + -0.6988741577079193, + -0.7258902152540163, + -0.7491403542086628, + -0.7681813049869368, + -0.7826481872029395, + -0.7922625383339338, + -0.7968384047330432, + -0.7962863527997354, + -0.7906153074235643, + -0.7799321763550763, + -0.7644392716751887, + -0.7444295917539381, + -0.7202800777419298, + -0.692443006492779, + -0.6614357257108385, + -0.6278289759920467, + -0.5922340773365781, + -0.5552892838672159, + -0.5176456292599629, + -0.4799525963378259, + -0.442843947142323, + -0.406924044525157, + -0.3727549830399522, + -0.3408448260018831, + -0.3116372175496539, + -0.2855026040919354, + -0.26273125950770543, + -0.24352826389131438, + -0.22801053759271506, + -0.21620598198897625, + -0.20805472707621156, + -0.2034124348556523, + -0.20205555785966722, + -0.203688405239654, + -0.20795182576506854, + -0.21443327891080763, + -0.22267803286473306, + -0.23220120254792584, + -0.24250032222162402, + -0.25306813639059095, + -0.2634052897461386, + -0.273032601869508, + -0.28150262518703584, + -0.2884102048881733, + -0.29340178665704186, + -0.29618325142802887, + -0.29652609510234745, + -0.29427181427035454, + -0.2893344053809443, + -0.2817009333121113, + -0.2714301747027906, + -0.2586493904622975, + -0.2435493293482492, + -0.22637760920661473, + -0.20743066328000184, + -0.1870444748931207, + -0.16558435392313978, + -0.1434340320098639, + -0.12098436987428329, + -0.0986219789921107, + -0.07671806099932199, + -0.05561776157230782, + -0.035630321304380964, + -0.017020284662138358, + -1.5063995523025341e-16 + ], + [ + 0, + 0.01394087157888465, + 0.026122578148348383, + 0.03655210147727283, + 0.045298783162516475, + 0.05249230105842002, + 0.05831893572633484, + 0.0630162229883281, + 0.06686613105094914, + 0.07018693954734813, + 0.07332403223884064, + 0.07663984414237356, + 0.08050322676489736, + 0.08527851133922396, + 0.09131455904645902, + 0.09893408893422682, + 0.10842356853936261, + 0.12002393922685602, + 0.13392242827551512, + 0.1502456732629722, + 0.16905435198009347, + 0.1903394737372415, + 0.21402044643980253, + 0.23994498924056334, + 0.26789091403378323, + 0.2975697517037288, + 0.32863215206518276, + 0.3606749410143298, + 0.39324967568835173, + 0.4258724994891466, + 0.4580350646470015, + 0.48921626145349234, + 0.5188944711106478, + 0.5465600439000524, + 0.5717276964742654, + 0.5939485217353816, + 0.6128213120259867, + 0.6280029110619366, + 0.6392173318451139, + 0.6462634061915196, + 0.6490207658154353, + 0.6474539942958875, + 0.6416148327618848, + 0.6316423687085487, + 0.6177611858601751, + 0.600277502241468, + 0.5795733723971737, + 0.5560990768148799, + 0.5303638658964654, + 0.5029252661988262, + 0.4743771921267885, + 0.44533713593269436, + 0.4164327320209862, + 0.3882880075948476, + 0.3615096402115538, + 0.33667354361381047, + 0.31431209624522105, + 0.294902312298773, + 0.2788552333338564, + 0.2665067899538577, + 0.25811034845195835, + 0.2538311175450124, + 0.2537425462893658, + 0.2578247970775942, + 0.26596532839825954, + 0.27796157199846266, + 0.2935256394377943, + 0.31229094496907056, + 0.33382058639319645, + 0.3576172841118707, + 0.3831346420463167, + 0.40978946328706706, + 0.43697482903131946, + 0.4640736321334207, + 0.4904722468493429, + 0.5155740143224378, + 0.5388122290709556, + 0.5596623250431186, + 0.5776529803627356, + 0.5923758871790618, + 0.6034939663766686, + 0.6107478454641202, + 0.6139604607874437, + 0.6130396912455778, + 0.6079789787831029, + 0.5988559399150724, + 0.5858290211944785, + 0.5691322986703611, + 0.5490685658490468, + 0.5260008953764276, + 0.5003428956145239, + 0.47254791361954157, + 0.44309746001087125, + 0.41248914827959865, + 0.38122445082239337, + 0.34979657618608384, + 0.31867876664095485, + 0.28831330242629377, + 0.2591014791728158, + 0.23139479862126328, + 0.20548758050437457, + 0.18161116616473785, + 0.15992984309208602, + 0.14053857512847936, + 0.12346257673076896, + 0.10865872256461445, + 0.09601873701763951, + 0.08537406313253361, + 0.07650226810343905, + 0.06913480390968861, + 0.06296590784218367, + 0.057662399450979035, + 0.05287410850796837, + 0.04824465347699905, + 0.04342228208397345, + 0.03807048506877527, + 0.031878101080491876, + 0.024568644762748316, + 0.015908611001285714, + 0.005714535533531239, + -0.006141375046192869, + -0.019727193248810764, + -0.03504890856686547, + -0.052049817035603116, + -0.07061168043449367, + -0.09055762679500697, + -0.1116567182906996, + -0.13363006885404455, + -0.15615835310253515, + -0.17889051140169698, + -0.20145342408181174, + -0.22346230177149132, + -0.24453151918366406, + -0.26428560699577464, + -0.2823701110397807, + -0.298462030010218, + -0.3122795522750254, + -0.3235908289132296, + -0.3322215434048216, + -0.33806106788958745, + -0.3410670308653079, + -0.3412681607452505, + -0.3387653128570838, + -0.333730633164623, + -0.3264048590888868, + -0.31709280511728494, + -0.30615712723286603, + -0.294010504404781, + -0.2811064163423396, + -0.2679287333930002, + -0.25498036592837325, + -0.24277124600887917, + -0.23180593289205292, + -0.2225711455612314, + -0.21552352958701573, + -0.21107796216512184, + -0.2095966881611051, + -0.21137956168249772, + -0.21665564252098654, + -0.2255763653614457, + -0.2382104626974195, + -0.2545407808184658, + -0.2744630830541016, + -0.2977868867735943, + -0.3242383316161104, + -0.35346502726278795, + -0.38504278096773936, + -0.418484059221164, + -0.45324799545391997, + -0.488751717656619, + -0.5243827371182171, + -0.5595121129990452, + -0.5935080878005147, + -0.6257498764706748, + -0.6556412872040799, + -0.6826238550820902, + -0.706189180490829, + -0.7258901824952317, + -0.7413510026024112, + -0.7522753260076295, + -0.7584529247156617, + -0.7597642689651805, + -0.7561830991336498, + -0.7477768986534585, + -0.734705258251379, + -0.7172161718225801, + -0.6956403532519244, + -0.6703837103084205, + -0.6419181552268564, + -0.6107709706989305, + -0.5775129837779588, + -0.5427458278404548, + -0.5070885935801073, + -0.47116418353757006, + -0.43558569057507296, + -0.40094311885790623, + -0.36779075636467234, + -0.3366354909632437, + -0.30792633809024816, + -0.28204541766073254, + -0.259300581770157, + -0.2399198539292036, + -0.22404779600503735, + -0.21174387183230342, + -0.20298282776841187, + -0.19765706149956985, + -0.195580902360118, + -0.19649668048622757, + -0.20008241940982202, + -0.20596094825147337, + -0.2137101964259642, + -0.22287440653455268, + -0.2329759805365632, + -0.24352766085628302, + -0.2540447420975376, + -0.26405701063065773, + -0.27312011841908124, + -0.2808261138137631, + -0.28681287523105176, + -0.2907722230429389, + -0.2924565198934683, + -0.29168360912233715, + -0.2883399840252324, + -0.2823821262214059, + -0.2738359982839026, + -0.2627947228368351, + -0.2494145263553874, + -0.23390906976387207, + -0.21654232851752334, + -0.19762022116111208, + -0.17748121647707615, + -0.15648617449455432, + -0.1350076952060381, + -0.11341926037397923, + -0.09208445802681975, + -0.07134657604801095, + -0.05151884074455732, + -0.03287555871959381, + -0.01564439621962, + -1.3795209405752813e-16 + ], + [ + 0, + 0.01265892436779199, + 0.023650478631931173, + 0.033011687111856716, + 0.04083790619353218, + 0.047279993416877844, + 0.052539899842719937, + 0.056864800273030584, + 0.06053991434653666, + 0.06388020610172085, + 0.06722117940964749, + 0.07090901096805394, + 0.07529028069233142, + 0.08070157086912465, + 0.087459210051068, + 0.095849435237139, + 0.10611923644986417, + 0.11846813161183739, + 0.13304109703403624, + 0.14992285041250097, + 0.16913364969055064, + 0.19062673331312596, + 0.21428748621948326, + 0.23993437241750015, + 0.2673216302446268, + 0.29614368156752097, + 0.326041162330272, + 0.3566084401326376, + 0.3874024459571766, + 0.4179526127431834, + 0.44777168410030543, + 0.4763671328169981, + 0.5032529115578667, + 0.5279612477114696, + 0.5500541910294069, + 0.569134626595545, + 0.5848564767089187, + 0.5969338332056177, + 0.6051487861625634, + 0.6093577452368185, + 0.609496085368079, + 0.6055809883499922, + 0.5977123948904373, + 0.5860720271799088, + 0.570920488560171, + 0.5525924934907147, + 0.53149032650363, + 0.5080756720989881, + 0.4828599974963581, + 0.45639370583675626, + 0.4292543079399506, + 0.4020338853073355, + 0.37532613510753327, + 0.3497132989375539, + 0.3257532809345506, + 0.30396725721825774, + 0.28482806774896846, + 0.26874966374654097, + 0.2560778592613374, + 0.24708260490957426, + 0.24195196592254828, + 0.24078794638074352, + 0.2436042577873583, + 0.2503260840433641, + 0.2607918475380256, + 0.2747569336159616, + 0.2918992842777874, + 0.3118267277437994, + 0.3340858695329273, + 0.35817233397637177, + 0.38354211348626555, + 0.4096237571977685, + 0.4358311114162373, + 0.46157631208771693, + 0.48628272455770577, + 0.509397528298456, + 0.5304036539968799, + 0.5488307971521272, + 0.5642652557108238, + 0.5763583686829674, + 0.5848333674001317, + 0.5894904902377562, + 0.5902102542555465, + 0.5869548222610629, + 0.5797674501606738, + 0.5687700459884346, + 0.5541589175543651, + 0.536198829112832, + 0.5152155277568856, + 0.49158693641329365, + 0.46573324146771183, + 0.4381061284379635, + 0.4091774381280506, + 0.3794275278878055, + 0.3493336276944563, + 0.319358478661148, + 0.28993953234060693, + 0.2614789730837192, + 0.2343348031567618, + 0.20881320190087455, + 0.18516233666120796, + 0.16356776537532752, + 0.14414952955029015, + 0.12696099291528792, + 0.1119894364068364, + 0.09915837544847546, + 0.08833152184858065, + 0.07931827115128395, + 0.07188055797408242, + 0.06574088770708493, + 0.06059132378330787, + 0.05610318628063366, + 0.051937200463135415, + 0.047753823432712936, + 0.04322347359238531, + 0.038036391195745166, + 0.031911868771478225, + 0.02460660739142149, + 0.01592197815188879, + 0.005709997261132017, + -0.00612214297013735, + -0.019609107016758064, + -0.03472609171276882, + -0.051389180331348414, + -0.06945736708491346, + -0.08873620024695894, + -0.10898294968947897, + -0.12991316460407876, + -0.15120845054903057, + -0.172525262671187, + -0.19350448481502144, + -0.21378154294588286, + -0.2329967864289457, + -0.25080586260677784, + -0.2668898090239687, + -0.2809645935980175, + -0.2927898458955538, + -0.3021765421320432, + -0.30899343209513813, + -0.3131720272659394, + -0.31471000520889625, + -0.31367292493025634, + -0.3101941903795152, + -0.30447324352767025, + -0.2967720133928324, + -0.28740969187138127, + -0.2767559501535817, + -0.26522274977559185, + -0.25325493896782403, + -0.24131985697486705, + -0.22989619562913322, + -0.21946238797660372, + -0.21048480764615343, + -0.2034060695552065, + -0.1986337222581915, + -0.19652961475288258, + -0.19740020602451813, + -0.20148806436506025, + -0.20896477605853941, + -0.21992545003145172, + -0.23438496732666306, + -0.2522760826864019, + -0.27344944113757574, + -0.29767552634542255, + -0.324648510768923, + -0.35399193146021957, + -0.3852660708359971, + -0.41797688000748184, + -0.45158624431746025, + -0.48552335753521203, + -0.5191969435264813, + -0.5520080428327648, + -0.5833630669969142, + -0.6126868160291425, + -0.6394351543123469, + -0.663107047511934, + -0.6832556775158452, + -0.6994983737417185, + -0.7115251267984071, + -0.7191054838110066, + -0.7220936629054434, + -0.7204317664744017, + -0.7141510178880764, + -0.7033709931763683, + -0.6882968667545685, + -0.6692147373364916, + -0.64648514563327, + -0.6205349381684779, + -0.5918476705137976, + -0.560952777519303, + -0.5284137668499722, + -0.4948157146521131, + -0.46075235792047453, + -0.42681308674524066, + -0.3935701408894706, + -0.36156630906400655, + -0.33130341599025986, + -0.3032318622101665, + -0.2777414551230697, + -0.2551537375625194, + -0.23571598317182912, + -0.21959698681413342, + -0.20688473427544923, + -0.197585989672929, + -0.19162779239456063, + -0.1888608092162708, + -0.18906444260070263, + -0.1919535541715406, + -0.19718662400362155, + -0.20437513260511012, + -0.21309392411118702, + -0.2228922869409609, + -0.23330547252036662, + -0.24386636400827008, + -0.25411700547151334, + -0.2636197076496777, + -0.2719674591656409, + -0.27879339143365917, + -0.2837790710873085, + -0.28666142483723756, + -0.2872381374797492, + -0.2853714034018484, + -0.28098995436397456, + -0.27408933051716006, + -0.264730406414835, + -0.25303622808539256, + -0.23918725992897333, + -0.22341518022218335, + -0.20599540035795635, + -0.1872385147087859, + -0.167480914390585, + -0.1470748185681034, + -0.12637799077989859, + -0.1057434147345816, + -0.08550920397669683, + -0.06598901275316985, + -0.047463201519106636, + -0.03017099016583313, + -0.014303805757722055, + -1.2568205290437762e-16 + ], + [ + 0, + 0.01143641660225258, + 0.021310472072603375, + 0.029685639579628817, + 0.036679314115255705, + 0.04245929378051047, + 0.04723882549677317, + 0.05127034479741985, + 0.0548380737461284, + 0.05824967125265698, + 0.06182715534342635, + 0.06589733664547635, + 0.07078201595119415, + 0.07678820589345549, + 0.0841986372842254, + 0.09326280452882721, + 0.10418879186522871, + 0.11713610329923528, + 0.13220969447552286, + 0.14945537494934477, + 0.16885671514303194, + 0.19033355453545467, + 0.21374216728251574, + 0.23887709951090627, + 0.2654746500163468, + 0.29321792409798164, + 0.3217433498284676, + 0.35064850821368343, + 0.3795010943934426, + 0.4078487971454151, + 0.4352298592406777, + 0.46118406229567627, + 0.48526386716329617, + 0.507045434940894, + 0.5261392545168034, + 0.542200110231498, + 0.5549361375285091, + 0.5641167350813563, + 0.5695791283168279, + 0.5712334108772131, + 0.5690659266099245, + 0.563140894266632, + 0.5536002192702163, + 0.5406614806353909, + 0.5246141253362063, + 0.5058139460153118, + 0.484675959853217, + 0.46166584562763335, + 0.43729013152498875, + 0.4120853572391335, + 0.38660645953744477, + 0.36141465015333174, + 0.3370650680833823, + 0.31409449479217805, + 0.2930094202893157, + 0.2742747405435877, + 0.25830335241126284, + 0.24544689151842697, + 0.23598783184910682, + 0.2301331337953822, + 0.22800959089717443, + 0.2296609853237148, + 0.2350471193011254, + 0.24404474521223846, + 0.25645037206679755, + 0.27198488155717954, + 0.29029984405789544, + 0.3109853847375922, + 0.33357941340550185, + 0.3575779996964047, + 0.38244664848353654, + 0.40763220964196395, + 0.4325751419636236, + 0.4567218434894039, + 0.4795367599464315, + 0.5005139893625674, + 0.5191881141069065, + 0.5351440112400374, + 0.5480254176586845, + 0.5575420574475239, + 0.5634751743386938, + 0.565681351347694, + 0.5640945415354027, + 0.5587262774069663, + 0.5496640706271976, + 0.5370680574237876, + 0.5211659871929252, + 0.5022466913860628, + 0.4806522057765344, + 0.4567687508050991, + 0.4310168011198681, + 0.40384049602392985, + 0.37569665683416303, + 0.347043684805297, + 0.31833061411750374, + 0.2899865884662669, + 0.2624110172010412, + 0.235964648070017, + 0.2109617689332761, + 0.1876637209403486, + 0.16627387139247984, + 0.1469341566946681, + 0.12972326540412088, + 0.11465648941876501, + 0.10168722887749361, + 0.09071009442910558, + 0.081565510219511, + 0.07404568325465066, + 0.06790177066036622, + 0.06285204662998711, + 0.05859084626375216, + 0.05479804466919532, + 0.051148817070928644, + 0.04732341957780868, + 0.043016730817048696, + 0.037947301842603184, + 0.03186567536647816, + 0.02456175509194785, + 0.01587103123956868, + 0.005679498602800566, + -0.006072862121415517, + -0.019390131286423713, + -0.03422007706943716, + -0.05045537226479346, + -0.06793636969898885, + -0.08645536406598146, + -0.1057622290081152, + -0.1255712821158787, + -0.14556919810837454, + -0.1654237626117869, + -0.18479323638681636, + -0.20333608314695806, + -0.22072080368969552, + -0.2366356152062494, + -0.250797717451608, + -0.262961896886664, + -0.272928235723314, + -0.28054871462544184, + -0.28573252510638736, + -0.28844993974125444, + -0.2887346243833368, + -0.28668431573945985, + -0.2824598289413986, + -0.2762824021170077, + -0.2684294273533647, + -0.25922865879049417, + -0.2490510278472666, + -0.23830223177001505, + -0.22741329389286483, + -0.21683032138812014, + -0.20700370816460614, + -0.19837704637680642, + -0.1913760193230816, + -0.18639755108291206, + -0.1837994839837789, + -0.18389104398035322, + -0.1869243365222064, + -0.19308709189322684, + -0.20249684989005284, + -0.21519673976995163, + -0.2311529734633892, + -0.2502541290364108, + -0.2723122583042287, + -0.2970658083947181, + -0.3241843030206578, + -0.35327468632499376, + -0.3838891914703465, + -0.4155345586561727, + -0.4476823938913002, + -0.4797804314522817, + -0.5112644402251639, + -0.5415704976274519, + -0.5701473449535823, + -0.5964685350338557, + -0.6200440871269198, + -0.6404313748921132, + -0.6572449908532199, + -0.6701653545496792, + -0.6789458610024328, + -0.683418400488062, + -0.6834971190840241, + -0.6791803310862463, + -0.6705505381967329, + -0.6577725552688161, + -0.641089787289983, + -0.6208187460856411, + -0.5973419368772205, + -0.5710992833132399, + -0.5425782939788031, + -0.5123032028444804, + -0.4808233399282999, + -0.4487010060414385, + -0.4164991364492042, + -0.384769042346697, + -0.3540385161348928, + -0.3248005766713241, + -0.2975031142118535, + -0.27253967207131147, + -0.2502415736781453, + -0.23087157038704353, + -0.21461914796982798, + -0.20159758905478595, + -0.19184284593167936, + -0.1853142341393959, + -0.1818969131877247, + -0.18140607771545503, + -0.18359274140814333, + -0.18815095809142912, + -0.19472629050282686, + -0.2029253081488723, + -0.21232587207697484, + -0.22248794689591989, + -0.232964669377448, + -0.2433133987137775, + -0.253106476074625, + -0.26194143041519224, + -0.2694503832793026, + -0.2753084272048363, + -0.2792407797070934, + -0.28102854698925545, + -0.280512967689434, + -0.2775980462046981, + -0.27225152644360334, + -0.26450419920953433, + -0.25444757874349894, + -0.24223002519541695, + -0.22805142891512745, + -0.2121566084810324, + -0.1948276064174109, + -0.1763750937946061, + -0.1571291166843756, + -0.13742943321886214, + -0.1176156993903993, + -0.09801776450612097, + -0.0789463333179961, + -0.060684241395066105, + -0.04347857356472359, + -0.027533832656255405, + -0.013006337911899837, + -1.1389416848591106e-16 + ], + [ + 0, + 0.010278152468058733, + 0.019109776913471967, + 0.026581021752875876, + 0.032827254777938054, + 0.038028979466888206, + 0.04240646212668423, + 0.04621321116852675, + 0.04972848009973195, + 0.05324899172939796, + 0.057080101971910935, + 0.06152663695540974, + 0.0668836465058267, + 0.07342732023472073, + 0.08140630932046276, + 0.0910336877054134, + 0.10247977106131444, + 0.11586599087723312, + 0.13125999491709386, + 0.14867211472431552, + 0.16805330657967377, + 0.18929463519978174, + 0.21222833042503564, + 0.23663040716491307, + 0.26222479894800915, + 0.28868891656758794, + 0.31566050649952265, + 0.34274564992818374, + 0.36952771320463457, + 0.39557703514426484, + 0.4204611163985958, + 0.4437550617300289, + 0.46505201775786276, + 0.48397334685596455, + 0.50017828243596, + 0.5133728217537382, + 0.5233176293824394, + 0.5298347472009611, + 0.5328129346101057, + 0.5322114950365044, + 0.5280624808325517, + 0.5204712075506719, + 0.509615049312546, + 0.4957405286104604, + 0.4791587553471285, + 0.46023931022214576, + 0.43940270571461787, + 0.417111592950681, + 0.3938609138146913, + 0.3701672239930677, + 0.3465574335747493, + 0.3235572268483278, + 0.30167943165406563, + 0.2814126108444701, + 0.2632101440148385, + 0.247480056781878, + 0.23457583777005955, + 0.2247884605208587, + 0.21833979932168196, + 0.21537759514091187, + 0.2159720912478514, + 0.22011441857958525, + 0.22771676945054534, + 0.23861435579260892, + 0.2525691057947152, + 0.269275011610007, + 0.2883650017166506, + 0.3094191755050117, + 0.3319742055924626, + 0.3555336860148602, + 0.37957918247140826, + 0.40358172473624915, + 0.42701347157919706, + 0.4493592752889043, + 0.4701278762335916, + 0.48886246773486514, + 0.5051503876175959, + 0.5186317147286793, + 0.5290065759427434, + 0.5360410010168039, + 0.5395711983299957, + 0.5395061631670132, + 0.5358285708224113, + 0.5285939484174534, + 0.5179281609092063, + 0.5040232873131879, + 0.487132001663896, + 0.4675606087622152, + 0.4456609164405859, + 0.4218211531482641, + 0.3964561614678819, + 0.3699971142002359, + 0.34288100952043077, + 0.3155402051921654, + 0.2883922488636033, + 0.2618302521536218, + 0.23621404082404876, + 0.21186229222574515, + 0.18904584494832066, + 0.1679823348661549, + 0.14883227733845392, + 0.13169667805978577, + 0.11661621591013842, + 0.10357200110507288, + 0.09248787200266624, + 0.08323415508556964, + 0.0756327758749733, + 0.0694635747660705, + 0.06447165184268097, + 0.06037553937530883, + 0.056875980559451554, + 0.05366507860519839, + 0.05043557189703586, + 0.04688998880378947, + 0.042749439874938365, + 0.037761815495004326, + 0.031709173311026954, + 0.024414121479573215, + 0.01574503044190739, + 0.005619936847736878, + -0.005990962378337567, + -0.019064290872357784, + -0.03352397500393661, + -0.04924321454517389, + -0.06604789004714781, + -0.08372131750737029, + -0.10201022555806982, + -0.12063179822514097, + -0.13928159812025767, + -0.15764216145293206, + -0.17539203808599793, + -0.19221503747439903, + -0.20780943504551475, + -0.22189689356843495, + -0.23423086033080234, + -0.24460421334830837, + -0.2528559480722721, + -0.2588767196865634, + -0.262613084512005, + -0.264070316558314, + -0.2633137110707043, + -0.2604683251166, + -0.2557171448921061, + -0.24929770950469957, + -0.24149726050172288, + -0.2326465243694933, + -0.22311227066777645, + -0.21328882049259312, + -0.2035887077634627, + -0.19443271869977521, + -0.18623955219683824, + -0.17941535518354484, + -0.1743433921365223, + -0.17137410659160912, + -0.1708158247435999, + -0.17292633722989034, + -0.17790557527888692, + -0.1858895720434074, + -0.19694586974240677, + -0.21107049893204585, + -0.2281866186534253, + -0.24814486627596616, + -0.2707254245493465, + -0.2956417717060441, + -0.32254603944477106, + -0.3510358642821852, + -0.38066258105661893, + -0.41094057421023356, + -0.441357573686572, + -0.47138565857399356, + -0.5004927135934514, + -0.5281540716242271, + -0.5538640699863918, + -0.5771472492993852, + -0.5975689313961513, + -0.6147449268151397, + -0.6283501424844945, + -0.6381258858718472, + -0.643885692480407, + -0.64551953838692, + -0.6429963376954851, + -0.6363646653964425, + -0.6257516881848426, + -0.611360328285928, + -0.5934647272226166, + -0.5724041167240752, + -0.5485752416367924, + -0.5224235138458218, + -0.4944331060162125, + -0.4651162187017556, + -0.4350017734435835, + -0.4046237974369217, + -0.3745097718732716, + -0.3451692160177205, + -0.3170827724684387, + -0.29069204604059945, + -0.26639042964868, + -0.2445151259069032, + -0.22534054354117422, + -0.20907321384212638, + -0.19584833512561398, + -0.18572801342399195, + -0.17870122638824446, + -0.17468549565163435, + -0.17353021171457048, + -0.1750215157669398, + -0.17888860573718246, + -0.18481130015177896, + -0.19242866392317973, + -0.20134847567055614, + -0.21115729720427998, + -0.2214308928216051, + -0.2317447393681918, + -0.24168436776206254, + -0.2508552828375719, + -0.2588922207723232, + -0.2654675216800464, + -0.2702984187118441, + -0.2731530735971489, + -0.27385522124562656, + -0.2722873219932957, + -0.26839215840142944, + -0.26217285323989936, + -0.2536913254088663, + -0.2430652400677786, + -0.23046354715931214, + -0.2161007378907302, + -0.20022998068427994, + -0.18313532583702702, + -0.1651231909515668, + -0.1465133565489481, + -0.12762971272878076, + -0.10879100302229429, + -0.09030181057084453, + -0.0724440244921894, + -0.05546901096413167, + -0.039590694506412574, + -0.02497973066718855, + -0.01175892244124831, + -1.0264357380419972e-16 + ], + [ + 0, + 0.00918782940933545, + 0.017053318002497136, + 0.02370139619084087, + 0.029281310725896115, + 0.03398210027266008, + 0.03802693085825324, + 0.04166644073879735, + 0.045171270410276514, + 0.04882397519432804, + 0.05291053450217584, + 0.05771168309047744, + 0.06349429508012575, + 0.07050305106606455, + 0.0789526123043505, + 0.08902051387188824, + 0.1008409711491594, + 0.11449977140909262, + 0.1300303952650892, + 0.14741148191021647, + 0.16656571823611174, + 0.18736019589977768, + 0.20960824311090276, + 0.23307270027699492, + 0.2574705716141472, + 0.2824789493401276, + 0.30774207400952924, + 0.33287936476485946, + 0.3574942275196045, + 0.3811834280175588, + 0.4035468008696113, + 0.4241970554681821, + 0.44276943539438496, + 0.45893098969092794, + 0.4723892221518006, + 0.48289989840538544, + 0.49027380972246093, + 0.4943823167084515, + 0.49516152475714054, + 0.49261497565524115, + 0.48681477524256855, + 0.4779011146839049, + 0.4660801817741286, + 0.45162049782403924, + 0.4348477540984457, + 0.4161382585537441, + 0.3959111378416128, + 0.3746194703620268, + 0.3527405527983615, + 0.330765524387014, + 0.30918858961851525, + 0.2884960907227568, + 0.2691556858854794, + 0.2516058875529603, + 0.23624620743486302, + 0.223428141090636, + 0.2134472056085975, + 0.20653621932375046, + 0.2028599833627786, + 0.20251149175794994, + 0.20550976073682353, + 0.21179932944884305, + 0.2212514447646071, + 0.23366690284198985, + 0.2487804808663235, + 0.26626685469456285, + 0.2857478629812277, + 0.30680094659055784, + 0.3289685644751272, + 0.35176836439501497, + 0.3747038694135958, + 0.39727542945487987, + 0.4189911816193887, + 0.43937776355867103, + 0.4579905309786081, + 0.47442304310344147, + 0.48831559836418653, + 0.49936262621611244, + 0.5073187692528315, + 0.5120035219687292, + 0.5133043278318075, + 0.5111780738943384, + 0.5056509610643256, + 0.4968167674306467, + 0.48483356071556055, + 0.46991895307306153, + 0.4523440261530288, + 0.43242608576415026, + 0.4105204328308583, + 0.387011359990394, + 0.36230260057274355, + 0.3368074684368436, + 0.31093893293042985, + 0.28509987297515943, + 0.2596737479803887, + 0.2350159111351832, + 0.21144577294027425, + 0.1892400000782959, + 0.16862690746503503, + 0.1497821702705085, + 0.13282594863324226, + 0.11782148157419177, + 0.10477516916022558, + 0.09363812421170323, + 0.08430913774076723, + 0.0766389667747299, + 0.07043582014934009, + 0.06547188807343783, + 0.06149073550949281, + 0.058215358321492675, + 0.055356685232421064, + 0.0526222982970925, + 0.04972514008093816, + 0.04639197714349921, + 0.04237139671001283, + 0.037441126381033, + 0.03141448504138553, + 0.024145796314613704, + 0.01553462337395989, + 0.005528714965054055, + -0.005874413671630979, + -0.018627305529123107, + -0.03263379598239706, + -0.047751623259065006, + -0.06379634611748505, + -0.0805464653653396, + -0.0977496142347242, + -0.11512965445201191, + -0.13239449081995475, + -0.1492443978789788, + -0.16538063822802748, + -0.18051414372387645, + -0.19437402826160152, + -0.20671570424083396, + -0.21732838406670357, + -0.22604176289803724, + -0.23273169897382046, + -0.2373247327249561, + -0.23980131489445175, + -0.24019764632280893, + -0.23860606709711446, + -0.23517396953571565, + -0.23010124706401766, + -0.22363632848738038, + -0.21607088354228113, + -0.2077333199898723, + -0.19898122403763543, + -0.1901929237356801, + -0.18175837848450033, + -0.17406961630860063, + -0.16751095361571378, + -0.16244923942970146, + -0.15922436735549245, + -0.15814029375428645, + -0.15945678987475195, + -0.16338213924725228, + -0.17006696989165118, + -0.1795993843362357, + -0.19200151973706145, + -0.20722763626927726, + -0.2251637952664695, + -0.24562915020802173, + -0.26837883453866834, + -0.2931083914097502, + -0.319459652715462, + -0.3470279391898636, + -0.3753704207114981, + -0.40401544713988047, + -0.43247263569788397, + -0.4602434817218587, + -0.48683224600833275, + -0.5117568643363773, + -0.5345596232367105, + -0.5548173507604266, + -0.5721508817678544, + -0.5862335738583272, + -0.5967986720978723, + -0.6036453476438207, + -0.6066432665622744, + -0.6057355798307037, + -0.6009402628720062, + -0.5923497720710672, + -0.5801290256299392, + -0.5645117558531756, + -0.5457953185545953, + -0.5243340818027465, + -0.500531549787231, + -0.47483140737735763, + -0.44770769623652945, + -0.4196543535388142, + -0.39117435892261865, + -0.36276874396143144, + -0.33492572093071676, + -0.3081101839511684, + -0.2827538257914844, + -0.2592460979682135, + -0.23792622067816, + -0.2190764230661929, + -0.20291656401404554, + -0.18960024978394982, + -0.17921252830055479, + -0.17176920150612263, + -0.16721775802097033, + -0.16543988924595446, + -0.1662555140147301, + -0.16942820087050328, + -0.17467184388397494, + -0.18165841845231637, + -0.19002661843705518, + -0.1993911559151877, + -0.20935249021148947, + -0.21950674409310553, + -0.2294555622375072, + -0.23881567037985757, + -0.24722790280325643, + -0.2543654808053397, + -0.259941345065813, + -0.26371436992933867, + -0.26549431686605585, + -0.2651454170351886, + -0.26258850812979, + -0.2578016876337878, + -0.25081948234709256, + -0.24173057158394995, + -0.23067413788386423, + -0.21783495348285742, + -0.20343734231750965, + -0.18773818519096439, + -0.17101915922784716, + -0.15357842130331886, + -0.13572195829441178, + -0.11775483444968718, + -0.09997256773028637, + -0.08265286261392445, + -0.06604791669443616, + -0.05037750271981442, + -0.03582300689672833, + -0.022522578883388388, + -0.010567519544515194, + -9.197564447401857e-17 + ], + [ + 0, + 0.008168009553076123, + 0.015143704161384068, + 0.02104684411171884, + 0.026036494111439788, + 0.030306181903937367, + 0.03407806586720838, + 0.037596266045596, + 0.04111953522951013, + 0.04491346435680716, + 0.04924242920994884, + 0.05436149279716245, + 0.060508479738544944, + 0.0678964353722067, + 0.07670667323330906, + 0.08708260025980398, + 0.0991244898944364, + 0.112885349658047, + 0.12836800235089874, + 0.14552346948008982, + 0.1642507125755562, + 0.18439775356911148, + 0.20576416023525224, + 0.22810484771279735, + 0.2511351132232979, + 0.27453678913091445, + 0.2979653702578094, + 0.3210579456210124, + 0.3434417431476462, + 0.3647430790099759, + 0.3845964914386631, + 0.40265383253360537, + 0.41859309087361257, + 0.43212672266620744, + 0.4430092796735833, + 0.4510441379585249, + 0.45608915224059865, + 0.4580610858404734, + 0.45693869520987757, + 0.45276438019111537, + 0.44564434563898964, + 0.43574725602544434, + 0.4233014012504363, + 0.40859042820162694, + 0.3919477277457919, + 0.3737495999290213, + 0.35440735039234256, + 0.3343584976248738, + 0.3140572930162888, + 0.2939647731766485, + 0.27453857622488614, + 0.2562227603968783, + 0.23943786421614652, + 0.2245714425722293, + 0.2119693024730087, + 0.2019276462267667, + 0.1946863087499223, + 0.19042325009388306, + 0.1892504347576211, + 0.19121119661644267, + 0.19627915314599337, + 0.20435869590742897, + 0.21528704687700864, + 0.22883783305991517, + 0.24472609582691499, + 0.26261461742865233, + 0.282121416001558, + 0.3028282328375074, + 0.32428981241391697, + 0.3460437572349578, + 0.3676207263620501, + 0.3885547389279058, + 0.4083933421106896, + 0.42670740702989174, + 0.44310032570736035, + 0.45721639737030684, + 0.4687482125793612, + 0.4774428684411734, + 0.4831068768978039, + 0.48560966006375844, + 0.48488556101738545, + 0.4809343344983959, + 0.4738201187315945, + 0.46366892618629474, + 0.45066472659520806, + 0.4350442291279744, + 0.41709050142458853, + 0.3971255904942276, + 0.3755023336149662, + 0.35259556577351725, + 0.32879294342335935, + 0.3044856121049144, + 0.2800589475894669, + 0.2558835966460935, + 0.23230703439555964, + 0.20964584075260065, + 0.1881788790452145, + 0.16814153603593185, + 0.14972115486402685, + 0.1330537615821977, + 0.11822215275577402, + 0.10525537686340626, + 0.0941296068581524, + 0.08477036610380254, + 0.0770560358724676, + 0.07082254052549386, + 0.06586907719944805, + 0.061964731010387866, + 0.05885579511232852, + 0.05627359793449682, + 0.05394262799362304, + 0.0515887401209555, + 0.048947225912499205, + 0.045770535719818845, + 0.04183544942310053, + 0.036949508307525664, + 0.030956540208601557, + 0.023741134192596332, + 0.01523194877872837, + 0.005403768383146205, + -0.005721744509508009, + -0.01807661979732909, + -0.031548456590898714, + -0.04598355601011848, + -0.06119122666451031, + -0.07694914879101045, + -0.09300965519199464, + -0.10910676290417855, + -0.12496376955331165, + -0.14030121312093313, + -0.15484498375938954, + -0.16833437160208478, + -0.1805298353541044, + -0.19122028280139558, + -0.20022966609322929, + -0.2074227114462813, + -0.212709624374747, + -0.21604963713713335, + -0.2174532941697769, + -0.21698340312401598, + -0.2147546129419107, + -0.2109316153471534, + -0.2057260013163721, + -0.19939183864651078, + -0.19222006977573308, + -0.1845318597137171, + -0.17667105151447268, + -0.16899591047957224, + -0.16187035760438503, + -0.15565490717641284, + -0.1506975325266506, + -0.14732468747702232, + -0.1458327089119593, + -0.14647981816325042, + -0.14947892570748422, + -0.1549914253436463, + -0.16312214098205174, + -0.17391556198980457, + -0.18735347236155178, + -0.20335404556452374, + -0.2217724415603885, + -0.24240290609930856, + -0.26498233580792085, + -0.28919523675279346, + -0.3146799699379408, + -0.34103614543481453, + -0.36783299833224664, + -0.39461855513977695, + -0.4209293792924286, + -0.44630066948825065, + -0.47027647511826304, + -0.4924197892647569, + -0.5123222817518133, + -0.5296134424929885, + -0.5439689187155073, + -0.5551178482315092, + -0.5628490143288477, + -0.5670156755025103, + -0.5675389544741254, + -0.5644097049944463, + -0.5576888109657395, + -0.5475059095821637, + -0.5340565675632116, + -0.5175979762394463, + -0.4984432663492119, + -0.4769545760668141, + -0.45353503521353394, + -0.42861985408890235, + -0.40266672628383465, + -0.3761457706942706, + -0.349529248363337, + -0.3232812944944063, + -0.29784790488958907, + -0.2736474092129154, + -0.25106165103073813, + -0.23042807685699918, + -0.21203291386965956, + -0.19610558912701795, + -0.18281451266300563, + -0.1722643135306854, + -0.16449458251403554, + -0.15948013870924113, + -0.15713280038513958, + -0.15730460436998053, + -0.15979238356308245, + -0.16434357988100268, + -0.17066314080434564, + -0.17842132239995737, + -0.18726220086418255, + -0.19681267876459968, + -0.20669176162520822, + -0.21651987554554422, + -0.22592799727120644, + -0.2345663745044436, + -0.2421126260815788, + -0.24827902863691656, + -0.25281881808062984, + -0.2555313600854474, + -0.2562660731458721, + -0.25492501990065636, + -0.25146411648399936, + -0.24589294483604557, + -0.23827318827636476, + -0.22871574533915676, + -0.21737661001890438, + -0.20445163735331784, + -0.1901703409107655, + -0.17478889256611643, + -0.1585825143530482, + -0.14183746669509797, + -0.12484284658801091, + -0.1078824131104298, + -0.09122665589430284, + -0.07512531494564205, + -0.059800547663610336, + -0.04544092138753305, + -0.03219638775823641, + -0.020174369176559834, + -0.009437058341566313, + -8.192557533740725e-17 + ], + [ + 0, + 0.007220105939881797, + 0.013381235576858335, + 0.01861402863121543, + 0.023083398977903836, + 0.026983497803041354, + 0.030531832414938627, + 0.0339626968559471, + 0.03752008874969823, + 0.04145030065150279, + 0.04599438319243461, + 0.05138068128550972, + 0.05781764348783439, + 0.06548709830772571, + 0.07453817996187127, + 0.08508207010133065, + 0.09718770173197368, + 0.11087854745902183, + 0.12613058688726203, + 0.14287151819015179, + 0.16098124726877536, + 0.18029365534757877, + 0.20059961311619748, + 0.22165117744934462, + 0.24316687612851334, + 0.2648379576239213, + 0.28633545759186807, + 0.30731791194816366, + 0.3274395287503733, + 0.3463586181153907, + 0.36374607135503756, + 0.37929367764879324, + 0.3927220689785875, + 0.403788091684094, + 0.4122914156862032, + 0.41808020987335687, + 0.42105573393332973, + 0.4211757225162962, + 0.4184564664122685, + 0.4129735267153046, + 0.40486105096311614, + 0.39430969417426126, + 0.3815631817220349, + 0.3669135842466902, + 0.35069540649492287, + 0.3332786213040273, + 0.31506080619091414, + 0.29645856251107094, + 0.2778984153582624, + 0.2598074058259396, + 0.24260359560577258, + 0.2266867069421001, + 0.2124291186082233, + 0.20016743086860206, + 0.1901947995187951, + 0.18275422135811845, + 0.17803293127383854, + 0.17615804503486543, + 0.17719355253812694, + 0.18113873433350533, + 0.18792804054803952, + 0.19743243665583354, + 0.20946218573960526, + 0.2237710028091921, + 0.2400614842102582, + 0.2579916849636726, + 0.27718268975597193, + 0.29722699991211005, + 0.3176975395897531, + 0.33815707010099333, + 0.35816779203664656, + 0.3773009109597038, + 0.3951459439364917, + 0.4113195510428956, + 0.42547368804315794, + 0.43730289338789124, + 0.4465505440941791, + 0.4530139404229578, + 0.45654810793067946, + 0.45706823673631936, + 0.4545507109414144, + 0.44903271525626354, + 0.4406104401825084, + 0.4294359407407879, + 0.41571273588957197, + 0.39969026567325916, + 0.3816573500371065, + 0.36193481650182574, + 0.34086748294118485, + 0.31881569609621835, + 0.29614663585024703, + 0.27322559946479114, + 0.2504074788520234, + 0.22802863758051006, + 0.20639938285342632, + 0.18579721146374154, + 0.16646098813810276, + 0.14858619025695344, + 0.1323213253031729, + 0.11776559724421157, + 0.10496786615321524, + 0.09392691252478964, + 0.0845929847647192, + 0.0768705760552402, + 0.07062234602445472, + 0.06567407414695288, + 0.06182050628119032, + 0.05883193384025431, + 0.05646132733738707, + 0.05445183288202126, + 0.052544431946404645, + 0.05048556157375434, + 0.0480344942244819, + 0.04497028359552408, + 0.04109809480904109, + 0.03625475403699801, + 0.030313373478249715, + 0.023186932100736583, + 0.01483072007808385, + 0.005243584686484956, + -0.005532053174520528, + -0.017411410512562262, + -0.03026974839142275, + -0.04394590802588485, + -0.05824688257141227, + -0.07295330319179825, + -0.08782569392518465, + -0.10261132952174792, + -0.11705151431397609, + -0.13088908871545546, + -0.14387596342232947, + -0.15578047998457206, + -0.16639440016484006, + -0.17553933532399757, + -0.18307244074973697, + -0.18889121804101, + -0.19293729092496187, + -0.19519904566066573, + -0.19571305583192636, + -0.19456424213338772, + -0.19188474993852483, + -0.18785156019709268, + -0.1826828817196904, + -0.1766334043493427, + -0.16998852210059173, + -0.16305766231675284, + -0.15616688057058398, + -0.1496509008085583, + -0.14384479560605126, + -0.13907551196096893, + -0.13565345352642896, + -0.1338643304150805, + -0.13396148267467664, + -0.13615887334375382, + -0.14062493188338154, + -0.14747740910443885, + -0.15677938094240623, + -0.16853651114844548, + -0.18269565283026765, + -0.19914483652476642, + -0.21771465890644356, + -0.23818105215555985, + -0.2602693802662164, + -0.28365977599907327, + -0.3079936015807935, + -0.3328808883802278, + -0.35790858634149303, + -0.3826494335349837, + -0.4066712403095982, + -0.42954637159238385, + -0.45086120516417777, + -0.4702253433923418, + -0.48728036094337657, + -0.5017078813158339, + -0.5132367903845116, + -0.5216494151638877, + -0.5267865202005758, + -0.5285510018068281, + -0.5269101910766257, + -0.5218967095373557, + -0.5136078555842708, + -0.5022035346885414, + -0.4879027809155721, + -0.47097895069846923, + -0.4517537012698015, + -0.4305898948987735, + -0.4078835954126067, + -0.38405534478616893, + -0.35954092434733537, + -0.33478181696309217, + -0.3102155931605987, + -0.28626644534364215, + -0.2633360900659324, + -0.24179524882839482, + -0.22197590331756564, + -0.20416450175992165, + -0.1885962696101179, + -0.17545075070044328, + -0.16484867492328611, + -0.15685021623877574, + -0.15145467109023222, + -0.14860155299857128, + -0.148173065034807, + -0.14999787887107735, + -0.15385611799116108, + -0.15948541415928708, + -0.16658788109268385, + -0.1748378280667478, + -0.18389001941157368, + -0.1933882739334498, + -0.20297419149293447, + -0.2122957924430377, + -0.22101585939674726, + -0.22881977974145376, + -0.2354227012092976, + -0.24057583128573884, + -0.24407173381920608, + -0.24574850230738082, + -0.24549271831866912, + -0.24324113462894784, + -0.2389810551305353, + -0.23274941658702628, + -0.22463061003720616, + -0.21475311127544566, + -0.20328501956595713, + -0.19042863084411732, + -0.1764141954470268, + -0.16149303030898943, + -0.14593017106557743, + -0.1299967602531177, + -0.11396237350951, + -0.09808748624450275, + -0.08261627864973438, + -0.06776996728737582, + -0.05374083708385453, + -0.04068712873452736, + -0.028728913779347977, + -0.017945063519997927, + -0.008371389180695354, + -7.251809163146941e-17 + ], + [ + 0, + 0.006344383630324685, + 0.011763940722871716, + 0.01639630119328049, + 0.020408408655858076, + 0.02399140557359874, + 0.027354815908589212, + 0.030720180071214756, + 0.03431431157844219, + 0.03836235511237032, + 0.043080831355118435, + 0.048670854915488934, + 0.05531170782660774, + 0.06315494257206583, + 0.07231917559914472, + 0.08288571512261482, + 0.09489514613740525, + 0.10834497146359923, + 0.1231883809445849, + 0.13933419227710717, + 0.15664797708855288, + 0.17495435554206717, + 0.19404041270722985, + 0.2136601609403317, + 0.2335399453062465, + 0.2533846643328703, + 0.27288465674800505, + 0.2917230868601801, + 0.3095836473718787, + 0.32615838901691024, + 0.3411554817432746, + 0.35430671235155825, + 0.3653745285586645, + 0.3741584492782793, + 0.3805006752649114, + 0.3842907528164461, + 0.3854691655247815, + 0.3840297545651368, + 0.3800208961011734, + 0.37354539436878176, + 0.3647590801514017, + 0.3538681359087413, + 0.3411251999919689, + 0.3268243324027941, + 0.31129495268905183, + 0.2948948861182667, + 0.27800267659856304, + 0.2610093433666864, + 0.244309772771404, + 0.22829394618636425, + 0.21333820994147853, + 0.19979679303675352, + 0.18799377329024503, + 0.17821568258778034, + 0.1707049272815109, + 0.16565418087639938, + 0.16320188340315342, + 0.1634289558520243, + 0.16635680936436417, + 0.17194669824341288, + 0.1801004339963968, + 0.19066244533066287, + 0.20342313708234872, + 0.21812347023380746, + 0.23446065622516543, + 0.2520948323896732, + 0.2706565621824966, + 0.2897549844901039, + 0.30898642117142083, + 0.3279432414576045, + 0.34622277617624697, + 0.36343607410092477, + 0.3792162970682076, + 0.3932265597392064, + 0.4051670337791443, + 0.41478115444003094, + 0.4218607896067315, + 0.42625025675963807, + 0.42784910139148336, + 0.4266135804998248, + 0.42255682612092693, + 0.41574769570570075, + 0.4063083476840055, + 0.39441061104836256, + 0.3802712464679502, + 0.3641462226204781, + 0.3463241544680739, + 0.32711906954721126, + 0.30686268352782337, + 0.28589637696260184, + 0.26456307104599425, + 0.24319920120391814, + 0.22212698343145265, + 0.20164715959996643, + 0.18203239469889504, + 0.16352148150499551, + 0.14631448693123897, + 0.13056894983925496, + 0.11639721302282911, + 0.10386494306840979, + 0.09299086160126364, + 0.08374768079032838, + 0.0760642056778145, + 0.06982853667811609, + 0.06489227818294498, + 0.061075634297300556, + 0.05817325093171056, + 0.055960645328854065, + 0.054201050053556306, + 0.052652488867093235, + 0.05107489697079126, + 0.04923709795351111, + 0.04692345440598972, + 0.0439400184454136, + 0.040120022082587754, + 0.035328565107664675, + 0.029466379513134987, + 0.02247257386902796, + 0.014326287893093499, + 0.0050472160354233945, + -0.005305011503796529, + -0.016632572034605813, + -0.02880227024415948, + -0.041649358849121965, + -0.0549822580106925, + -0.0685880479008691, + -0.08223858843305162, + -0.09569710352654155, + -0.10872505478800074, + -0.12108912148401008, + -0.1325681003555062, + -0.14295954027709973, + -0.1520859329619998, + -0.15980029170686053, + -0.1659909652948261, + -0.17058555325468372, + -0.17355381123456373, + -0.1749094607271765, + -0.1747108451430475, + -0.1730604035732013, + -0.170102963776916, + -0.16602288621450176, + -0.16104012055696335, + -0.15540526429663307, + -0.14939373914224452, + -0.14329922414727417, + -0.13742650439894805, + -0.13208391007784542, + -0.1275755323713424, + -0.12419340978184719, + -0.12220988062081378, + -0.12187029484928726, + -0.12338627096398529, + -0.1269296715037718, + -0.132627454250281, + -0.14055753571327012, + -0.1507457795206687, + -0.16316419545753777, + -0.17773040577290092, + -0.19430840471146232, + -0.2127106057810275, + -0.23270113980937993, + -0.2540003361518207, + -0.27629029024056806, + -0.2992213937416606, + -0.3224196795719732, + -0.34549481352586586, + -0.36804854777980184, + -0.3896834394980633, + -0.41001163045870326, + -0.42866348124553527, + -0.44529585617760375, + -0.4595998627178618, + -0.47130786144194586, + -0.48019957946279446, + -0.4861071810943436, + -0.4889191739940467, + -0.4885830564581549, + -0.4851066412907034, + -0.4785580230050178, + -0.4690641872839573, + -0.45680829384014543, + -0.44202569529665037, + -0.4249987846865637, + -0.40605079191772514, + -0.38553867439238465, + -0.3638452683077057, + -0.34137088447475733, + -0.3185245453627125, + -0.2957150681918813, + -0.2733422020713453, + -0.2517880253324794, + -0.2314088024000825, + -0.21252748794100107, + -0.19542704992609825, + -0.18034476303560426, + -0.16746760003031638, + -0.15692882188987256, + -0.14880583834544, + -0.1431193796254514, + -0.1398339885463102, + -0.13885981029237626, + -0.1400556261193387, + -0.14323304754236055, + -0.14816176005851994, + -0.15457568077075143, + -0.16217987302532483, + -0.17065804385871333, + -0.17968043708616557, + -0.18891192655848363, + -0.19802011065496358, + -0.20668321053829314, + -0.21459758101874735, + -0.22148465388731647, + -0.2270971489915441, + -0.23122440774660666, + -0.23369672670151928, + -0.23438859463458617, + -0.23322076477998105, + -0.23016112348020804, + -0.22522434707147654, + -0.2184703693760517, + -0.21000171203326254, + -0.19995975830399823, + -0.18852007722515343, + -0.17588692841892697, + -0.1622870978970314, + -0.14796323134771977, + -0.1331668432582068, + -0.11815118751875785, + -0.10316417770462857, + -0.08844154298470457, + -0.07420039862809988, + -0.060633398557792755, + -0.04790362163328141, + -0.03614032373825537, + -0.02543566480648016, + -0.01584249422515606, + -0.007373250264308955, + -6.37672973502418e-17 + ], + [ + 0, + 0.005539975578475955, + 0.010287642171045889, + 0.014383849607753733, + 0.017993955368585186, + 0.02130274345153727, + 0.024508775513467623, + 0.027818324898789645, + 0.031439055360325645, + 0.0355736133256877, + 0.04041330528855432, + 0.04613203023306156, + 0.05288063096782905, + 0.06078181800033288, + 0.06992580537509205, + 0.08036678008310774, + 0.09212030566906917, + 0.10516173704108892, + 0.11942569781636347, + 0.13480664445880405, + 0.15116051366132346, + 0.1683074215954844, + 0.1860353564959106, + 0.20410478025195208, + 0.22225403089751836, + 0.24020539672562327, + 0.25767171474661055, + 0.27436333182008893, + 0.28999525639265783, + 0.30429432264013484, + 0.31700618711191497, + 0.32790198076394245, + 0.3367844464914119, + 0.343493403768062, + 0.34791039749445934, + 0.3499624072816201, + 0.3496245156863309, + 0.3469214588286204, + 0.3419280097517035, + 0.3347681731707556, + 0.32561319920442133, + 0.3146784525795021, + 0.30221920193200136, + 0.2885254205012638, + 0.2739157140675451, + 0.2587305138072602, + 0.24332469029075354, + 0.22805975966083067, + 0.2132958637337526, + 0.19938371208576924, + 0.18665667596277083, + 0.1754232210249813, + 0.16595985857252948, + 0.15850478316250888, + 0.15325234870256219, + 0.15034851556955015, + 0.14988737852540596, + 0.15190885973656953, + 0.15639762366560508, + 0.16328324166207228, + 0.1724416044375928, + 0.1836975509879775, + 0.19682865364367805, + 0.21157007149117038, + 0.22762035907947048, + 0.24464809472335194, + 0.26229917338696535, + 0.28020459354689015, + 0.29798855596909685, + 0.31527668526559527, + 0.3317041825917052, + 0.34692371996014343, + 0.3606128933263097, + 0.3724810626717311, + 0.3822754225031177, + 0.3897861651162501, + 0.3948506211786429, + 0.39735628711492493, + 0.39724267582017925, + 0.39450195571427993, + 0.3891783723852466, + 0.3813664763352725, + 0.3712082089233438, + 0.3588889257953401, + 0.34463246224362615, + 0.32869536743252037, + 0.3113604537193564, + 0.29292982292899183, + 0.2737175430296602, + 0.25404215593766877, + 0.234219199982369, + 0.21455392883666569, + 0.19533440252012219, + 0.17682511557978003, + 0.1592613130229513, + 0.14284412639036517, + 0.12773664098092574, + 0.11406098121299793, + 0.1018964750380457, + 0.09127893086666908, + 0.08220103231359616, + 0.07461382792189397, + 0.06842926559071505, + 0.06352369538926078, + 0.059742240440008414, + 0.056903914192033896, + 0.054807344208728535, + 0.05323694801145053, + 0.05196939590847753, + 0.05078018935375417, + 0.04945018137269178, + 0.04777186800300593, + 0.04555528645664206, + 0.04263336663460662, + 0.03886659743586773, + 0.03414688761303456, + 0.028400522272284207, + 0.021590139948080293, + 0.0137156808976801, + 0.0048142842023091185, + -0.00504086125317613, + -0.015742679520048937, + -0.027153325160805836, + -0.03910817181376722, + -0.05142056509354435, + -0.0638872130991998, + -0.07629407097120854, + -0.08842256278037894, + -0.10005597488325299, + -0.11098584997485175, + -0.12101821053988437, + -0.1299794442664769, + -0.13772169215031854, + -0.14412759228170577, + -0.14911424836963708, + -0.1526363115164294, + -0.1546880861277247, + -0.15530459556691345, + -0.15456156962052453, + -0.1525743433681467, + -0.14949568495514853, + -0.14551259734623903, + -0.14084216569716987, + -0.135726546849087, + -0.13042721999491141, + -0.12521863721604498, + -0.1203814288384187, + -0.11619533099100127, + -0.11293201104331871, + -0.11084797053002843, + -0.1101777046269896, + -0.11112729222290989, + -0.11386858124315409, + -0.11853412034642019, + -0.12521297075298754, + -0.13394751119330056, + -0.1447313252914824, + -0.1575082346968752, + -0.1721725135838361, + -0.18857029143496562, + -0.20650212201153056, + -0.22572666781189085, + -0.24596542183054518, + -0.26690836273720386, + -0.288220416334197, + -0.3095485759001582, + -0.3305295172935205, + -0.35079753189052604, + -0.3699925918927773, + -0.38776835847778696, + -0.40379994379215367, + -0.4177912428974436, + -0.42948166135793564, + -0.43865207798124695, + -0.4451298999573866, + -0.44879308886256314, + -0.44957306018859794, + -0.44745638564141266, + -0.4424852557779612, + -0.4347566899323505, + -0.4244205101046143, + -0.4116761248269314, + -0.3967681972683316, + -0.37998129830319, + -0.36163366930753627, + -0.3420702404765263, + -0.32165506796586235, + -0.3007633667257171, + -0.2797733251903168, + -0.2590578927873157, + -0.23897673142600562, + -0.21986851771258337, + -0.20204377373754587, + -0.18577839110786468, + -0.17130799578251835, + -0.1588232806380618, + -0.14846640905074832, + -0.14032856671588573, + -0.13444871107503964, + -0.13081353877153576, + -0.12935866221457487, + -0.12997095732065952, + -0.13249201652712136, + -0.1367226149186424, + -0.14242807341250444, + -0.14934438199124395, + -0.15718492845820997, + -0.16564766454203073, + -0.1744225317138147, + -0.1831989640254522, + -0.19167328473885298, + -0.19955581749244525, + -0.20657754112928053, + -0.21249612986830912, + -0.21710123691146063, + -0.22021889942392806, + -0.22171496559897436, + -0.22149746964568467, + -0.2195179073850564, + -0.21577139303205586, + -0.2102957059796764, + -0.2031692642792982, + -0.1945080883341678, + -0.18446184342154803, + -0.17320907241064915, + -0.16095174988420083, + -0.1479093053117607, + -0.13431227555890698, + -0.1203957555405922, + -0.10639282003501357, + -0.09252808947075015, + -0.07901160789983619, + -0.066033192498456, + -0.05375740102762081, + -0.04231924707237019, + -0.031820772986267176, + -0.02232856780671428, + -0.013872292553702972, + -0.006444248912428583, + -5.567666179211715e-17 + ], + [ + 0, + 0.004804912988051165, + 0.008946050303977734, + 0.012563885618836803, + 0.015818828530813435, + 0.018886281570583946, + 0.02195125510084452, + 0.025202683953238436, + 0.028827597714670666, + 0.033005300753440665, + 0.03790171825398277, + 0.043664060698205935, + 0.05041595148336544, + 0.05825315089170057, + 0.06723999471036353, + 0.07740664781302763, + 0.08874725240627906, + 0.10121902793027528, + 0.11474235535367525, + 0.1292018534264521, + 0.14444842898411367, + 0.1603022582747608, + 0.17655663214040998, + 0.19298257533678498, + 0.20933412989328026, + 0.22535417471593552, + 0.24078063907384034, + 0.25535295655878243, + 0.26881859885753484, + 0.280939525420132, + 0.2914983859406904, + 0.3003043174829713, + 0.30719818697237894, + 0.3120571424316983, + 0.31479835245766546, + 0.3153818326307169, + 0.31381227935495576, + 0.3101398555076628, + 0.30445989765299575, + 0.2969115408199756, + 0.2876752833146502, + 0.2769695400776937, + 0.2650462580681037, + 0.25218569043267747, + 0.23869044723171245, + 0.22487895871075847, + 0.21107850208107268, + 0.19761795412159308, + 0.1848204393552758, + 0.17299604689078765, + 0.16243478816568185, + 0.15339996279109508, + 0.14612209059531028, + 0.14079355500879895, + 0.1375640864360591, + 0.13653719461641858, + 0.13776763666127673, + 0.14125998300926507, + 0.14696831755645015, + 0.15479708132702863, + 0.16460304190465025, + 0.17619834410570678, + 0.18935457169417297, + 0.20380772593759824, + 0.21926400506935767, + 0.2354062497815046, + 0.25190090418534195, + 0.2684053296232868, + 0.28457530058665653, + 0.3000725079846613, + 0.31457189521379664, + 0.3277686568848617, + 0.3393847385644838, + 0.34917468826701414, + 0.35693072638363293, + 0.36248691986400877, + 0.3657223683000111, + 0.36656333356305265, + 0.36498427022664515, + 0.3610077405355932, + 0.3547032245127387, + 0.3461848622665974, + 0.3356081910319667, + 0.3231659633197271, + 0.30908315419191307, + 0.2936112845893378, + 0.2770222033655603, + 0.259601482846157, + 0.24164159104810473, + 0.22343500796826107, + 0.20526745349032458, + 0.18741139047657468, + 0.17011995861638124, + 0.1536214828092758, + 0.13811468457119527, + 0.12376470655936356, + 0.1107000392810668, + 0.09901041591587842, + 0.08874571652215378, + 0.07991589733600016, + 0.07249193504464523, + 0.06640775047152005, + 0.06156305168193393, + 0.05782701371365293, + 0.055042691521974406, + 0.05303204481410397, + 0.05160143867437526, + 0.05054747261227479, + 0.04966298317314888, + 0.04874306171555858, + 0.04759092945876667, + 0.04602351641668562, + 0.04387659923803636, + 0.041009365046175, + 0.03730828380388668, + 0.032690190122182494, + 0.02710449631756374, + 0.020534481366845995, + 0.012997624631191416, + 0.004544978205918872, + -0.004740403134418495, + -0.014745930822526747, + -0.025332783173083406, + -0.03633994906106207, + -0.04758890635861098, + -0.05888881020015245, + -0.0700420526597537, + -0.08085004548285292, + -0.09111907137091141, + -0.10066604713170746, + -0.10932404383943728, + -0.11694741495597484, + -0.12341639300589065, + -0.12864102863477633, + -0.13256436238391267, + -0.1351647388726798, + -0.1364571948092409, + -0.13649387580562664, + -0.13536346176433184, + -0.13318960600687535, + -0.1301284186910415, + -0.12636504977277987, + -0.1221094501866829, + -0.11759141145238469, + -0.11305500301598673, + -0.10875254281834, + -0.10493824943026614, + -0.10186173327570565, + -0.09976148973522644, + -0.09885855813936846, + -0.09935050777970943, + -0.10140590514319331, + -0.10515940577079463, + -0.11070759971061492, + -0.11810572182440908, + -0.1273653176440007, + -0.1384529325605567, + -0.15128986742515815, + -0.1657530177491633, + -0.1816767872537912, + -0.19885604018149153, + -0.2170500311971297, + -0.23598722750779585, + -0.2553709156161473, + -0.2748854654457727, + -0.2942031079288869, + -0.31299106894363377, + -0.33091889306315825, + -0.34766578517191155, + -0.3629277967581212, + -0.3764246866448985, + -0.3879062930126216, + -0.39715826462698156, + -0.40400701395755084, + -0.40832377299675554, + -0.4100276536318949, + -0.4090876378744641, + -0.40552344854318717, + -0.3994052775159749, + -0.3908523757671431, + -0.38003053643068796, + -0.36714852842091394, + -0.35245356305855097, + -0.3362258990877196, + -0.31877271186885375, + -0.30042136989958795, + -0.2815122757282459, + -0.26239143844642837, + -0.24340295103463863, + -0.2248815477429706, + -0.2071454143754579, + -0.19048941787252144, + -0.1751789111141455, + -0.1614442546575081, + -0.14947617952871656, + -0.13942209464375457, + -0.1313834194449052, + -0.12541399747150905, + -0.12151962044884798, + -0.1196586657173333, + -0.11974382309149958, + -0.12164486118823438, + -0.12519235853197141, + -0.13018230193335353, + -0.1363814343008926, + -0.14353321667412008, + -0.15136425527926192, + -0.1595910341378847, + -0.16792678744622572, + -0.176088343730567, + -0.18380277571315887, + -0.19081369583231556, + -0.19688704728707035, + -0.20181625406225637, + -0.20542661028498607, + -0.20757880903800474, + -0.20817153290834056, + -0.2071430525224474, + -0.20447180450887129, + -0.2001759461047035, + -0.19431190933798448, + -0.18697200273278886, + -0.17828113217401823, + -0.16839273434618102, + -0.15748403548501066, + -0.14575076457533823, + -0.1334014631900311, + -0.12065154357411033, + -0.10771725210839543, + -0.09480969680886173, + -0.08212909500264762, + -0.06985939084201556, + -0.05816338204561195, + -0.04717848145913534, + -0.03701322206035296, + -0.027744594330894597, + -0.019416282982296723, + -0.012037846415041657, + -0.00558485760713593, + -4.8239143628233183e-17 + ], + [ + 0, + 0.004136169694361976, + 0.007730883615837248, + 0.010920869463157335, + 0.013858527655459424, + 0.016707222135347248, + 0.019636243655940657, + 0.022815580316156433, + 0.026410635401199204, + 0.03057703428839871, + 0.03545566024545323, + 0.0411680534237499, + 0.04781229836913664, + 0.055459513158874915, + 0.06415103813068611, + 0.07389640447606541, + 0.08467214316825998, + 0.09642147328199911, + 0.10905488627495248, + 0.12245161980551496, + 0.13646199173710835, + 0.15091054270419685, + 0.1655999145528238, + 0.180315372652565, + 0.19482986299846097, + 0.20890948061686554, + 0.22231921442828254, + 0.2348288256979518, + 0.24621871273312745, + 0.25628561368847486, + 0.26484800225015037, + 0.2717510375249552, + 0.2768709395124941, + 0.2801186748471764, + 0.2814428537432415, + 0.28083175786607284, + 0.27831443972913106, + 0.2739608566672713, + 0.2678810259132085, + 0.26022321122700603, + 0.25117117530890026, + 0.24094055527600355, + 0.229774440232717, + 0.21793824987325983, + 0.20571403062719804, + 0.19339430065646093, + 0.18127558666396673, + 0.1696518036853201, + 0.15880763359602573, + 0.1490120588567012, + 0.1405122050098594, + 0.13352763869929682, + 0.12824525766419576, + 0.12481489550992246, + 0.12334574740353427, + 0.12390370358559268, + 0.12650965619666868, + 0.13113882190541867, + 0.13772109875386845, + 0.1461424510895195, + 0.15624729203001753, + 0.1678418091985947, + 0.18069815705426812, + 0.1945594185651825, + 0.20914522073702604, + 0.22415787305431714, + 0.23928888559562078, + 0.254225714742164, + 0.26865857922582187, + 0.28228718788035456, + 0.2948272228991677, + 0.30601642860062517, + 0.3156201655025832, + 0.32343630266802653, + 0.3292993374779159, + 0.33308365081610497, + 0.33470582665086596, + 0.3341259876518482, + 0.331348122234132, + 0.32641940269003095, + 0.3194285182604802, + 0.31050307051997017, + 0.2998061007283897, + 0.28753183929766374, + 0.27390078573354754, + 0.25915424290330313, + 0.24354844187613064, + 0.22734840259008857, + 0.21082168100595994, + 0.1942321550935836, + 0.17783399993022952, + 0.16186599643711408, + 0.1465463089936466, + 0.1320678545911295, + 0.11859437064097683, + 0.10625727043265158, + 0.09515335500175993, + 0.08534342832908907, + 0.07685183989535985, + 0.06966695523776771, + 0.06374253187736523, + 0.05899995539151999, + 0.055331269055370294, + 0.05260291090039665, + 0.05066005472157705, + 0.049331436934311614, + 0.04843453959758904, + 0.04778099166307739, + 0.047182045779476205, + 0.04645398688739962, + 0.04542333140080113, + 0.043931681913319684, + 0.04184011192900177, + 0.03903296784808185, + 0.035420991012060046, + 0.03094368062928318, + 0.025570838402757413, + 0.019303257156635924, + 0.012172538160767625, + 0.004240044614902623, + -0.004404978702014718, + -0.013648067858407558, + -0.023352912101766, + -0.033365345372828696, + -0.04351785005824912, + -0.053634452559131365, + -0.06353587985997555, + -0.07304483924089906, + -0.08199127976653779, + -0.09021749429988891, + -0.09758292452944005, + -0.10396853877276567, + -0.10928066294984347, + -0.11345415884045908, + -0.11645486020992876, + -0.11828119619416017, + -0.11896495200758472, + -0.11857113905703043, + -0.11719696935777339, + -0.11496995218063742, + -0.1120451535304559, + -0.10860168079383305, + -0.10483847514771438, + -0.10096951257568153, + -0.0972185301310443, + -0.09381340701036656, + -0.09098033972452634, + -0.08893795692264024, + -0.08789152206871301, + -0.08802737111341187, + -0.0895077275577096, + -0.09246602897708982, + -0.09700288735980768, + -0.10318279079034828, + -0.11103163643763013, + -0.12053516491370055, + -0.1316383443383705, + -0.14424572941074867, + -0.15822279701588693, + -0.17339823596913154, + -0.18956714501281782, + -0.206495070710534, + -0.22392279599034867, + -0.24157177128932486, + -0.2591500640158243, + -0.2763586887798113, + -0.2928981708783269, + -0.3084751891164409, + -0.3228091413592925, + -0.3356384773226891, + -0.3467266479995471, + -0.35586752967555196, + -0.3628901925080143, + -0.3676628988398073, + -0.37009623443000417, + -0.37014529616957026, + -0.36781088212055046, + -0.3631396533304848, + -0.35622326125673764, + -0.34719645919528486, + -0.33623424024783966, + -0.3235480674926795, + -0.30938128358520406, + -0.2940038064796789, + -0.2777062348603726, + -0.2607935007881199, + -0.2435782176696732, + -0.2263738786859626, + -0.20948806410295825, + -0.19321581535816695, + -0.17783332948365288, + -0.16359211940230764, + -0.1507137741180735, + -0.13938543809820497, + -0.12975611158003186, + -0.12193385355910095, + -0.11598394732133499, + -0.11192806510690985, + -0.10974444440888273, + -0.10936906410519764, + -0.11069778469300152, + -0.11358939392347475, + -0.11786947768326614, + -0.12333501655636464, + -0.12975959159793019, + -0.1368990688665522, + -0.14449762152823542, + -0.15229394111782377, + -0.16002748598833721, + -0.16744461517133985, + -0.17430445979495426, + -0.18038439175110088, + -0.18548496027124237, + -0.18943418117735275, + -0.19209108046177534, + -0.19334841308786635, + -0.19313449900703125, + -0.19141414082615485, + -0.1881886107695692, + -0.18349471798076725, + -0.17740299021682987, + -0.1700150260297291, + -0.16146009405552592, + -0.15189107453600362, + -0.14147985422018097, + -0.1304122989409932, + -0.11888293811341115, + -0.10708950191325058, + -0.09522745481622735, + -0.08348466844009109, + -0.07203637226631722, + -0.06104051294031235, + -0.050633641666779985, + -0.04092743501888631, + -0.03200593763070176, + -0.023923596172821533, + -0.016704133207188446, + -0.010340287508320221, + -0.004794424783589257, + -4.1437450183561373e-17 + ], + [ + 0, + 0.003529719948798484, + 0.006632013970769995, + 0.009436768442028334, + 0.012085655263254322, + 0.014727742050179488, + 0.017514876706591298, + 0.020596970069233417, + 0.02411730321100717, + 0.02820798563906209, + 0.03298568703347613, + 0.03854775842770814, + 0.044968849000790456, + 0.05229811217561558, + 0.060557079809293576, + 0.06973826629362619, + 0.07980454578175421, + 0.09068932598814623, + 0.10229752157047454, + 0.11450730950834252, + 0.12717262866477355, + 0.14012636636310366, + 0.15318415682461833, + 0.16614870014782845, + 0.17881449658075432, + 0.1909728794999545, + 0.2024172220571184, + 0.21294818710716285, + 0.22237888793511007, + 0.23053982851592664, + 0.2372834965527525, + 0.24248849024318173, + 0.24606307043927467, + 0.24794804333824413, + 0.2481188947415347, + 0.24658711486347956, + 0.24340067221839326, + 0.23864361578754748, + 0.23243480595672172, + 0.22492579609622104, + 0.21629790760028145, + 0.20675856119317956, + 0.1965369458491339, + 0.18587912330109269, + 0.1750426804148499, + 0.16429105332134727, + 0.15388765583873168, + 0.1440899501568618, + 0.1351435998589155, + 0.1272768440579906, + 0.12069522675499902, + 0.11557680758468687, + 0.11206796909664395, + 0.11027992188099918, + 0.11028599252691838, + 0.11211976099015045, + 0.11577409388952836, + 0.12120109903805291, + 0.12831300465730872, + 0.13698394475591985, + 0.1470526106080309, + 0.1583257076707702, + 0.17058213813168974, + 0.1835778120442763, + 0.1970509751110365, + 0.21072792897136733, + 0.2243290106415894, + 0.23757469175976179, + 0.2501916556522725, + 0.2619187110243391, + 0.27251240526035814, + 0.28175220779724636, + 0.2894451446185526, + 0.2954297783474858, + 0.29957944436165407, + 0.30180467141882483, + 0.3020547350271747, + 0.30031831273068177, + 0.2966232320972082, + 0.29103532396421206, + 0.283656414882833, + 0.2746215131834702, + 0.2640952621661718, + 0.25226775113382444, + 0.23934978991867, + 0.22556776484349803, + 0.21115820341411753, + 0.1963621812386287, + 0.1814197075690135, + 0.16656422540089136, + 0.1520173582703133, + 0.13798402885689862, + 0.12464806442508246, + 0.112168391269174, + 0.10067590500145518, + 0.0902710861239208, + 0.08102241129227782, + 0.07296559049389413, + 0.06610363952542488, + 0.06040777619186659, + 0.05581910807975223, + 0.05225106009511092, + 0.049592471689941194, + 0.047711277281720706, + 0.04645866920425413, + 0.04567363096321466, + 0.04518771988859879, + 0.044829972688863275, + 0.044431805049784424, + 0.043831777336094016, + 0.04288010261448377, + 0.04144278051011253, + 0.039405250644272166, + 0.03667547231380752, + 0.033186352331724886, + 0.028897460163101473, + 0.023795988222130266, + 0.01789693496832477, + 0.011242508750292436, + 0.003900770678541058, + -0.00403644535120966, + -0.012456278518842909, + -0.02122817848942897, + -0.03020774458065072, + -0.03924096374823571, + -0.04816873394142846, + -0.056831551780767126, + -0.06507423901341398, + -0.07275058092328876, + -0.07972775184946826, + -0.08589040815001332, + -0.0911443372119659, + -0.09541956224647377, + -0.09867281634303689, + -0.10088931524518822, + -0.10208377615098402, + -0.10230064908768619, + -0.10161354757736768, + -0.10012388589125214, + -0.097958750666678, + -0.09526805451467892, + -0.09222103797595663, + -0.08900220331352858, + -0.08580677872564337, + -0.08283582423700835, + -0.08029110045398093, + -0.07836982829228575, + -0.07725947152068947, + -0.07713267440677016, + -0.078142483879348, + -0.08041797949671782, + -0.08406042527229043, + -0.08914004527911257, + -0.09569351022404896, + -0.10372220520854178, + -0.11319133008973484, + -0.12402986368369769, + -0.13613140200676913, + -0.14935585934980453, + -0.16353199975134838, + -0.17846074590443672, + -0.19391919320662643, + -0.20966523902403153, + -0.2254427217270316, + -0.2409869510556097, + -0.2560305012126345, + -0.2703091310208786, + -0.2835676916954579, + -0.29556588237866843, + -0.3060837165766424, + -0.31492656896138566, + -0.3219296815098388, + -0.32696202041771877, + -0.3299293903510035, + -0.33077673001747937, + -0.3294895323335274, + -0.32609435315963453, + -0.32065839417952036, + -0.3132881674772656, + -0.30412727118978855, + -0.29335332674740777, + -0.28117414814856434, + -0.2678232319608816, + -0.2535546728556736, + -0.23863762307483743, + -0.22335042496784702, + -0.2079745533619477, + -0.19278850885689075, + -0.17806180406335367, + -0.16404918231181315, + -0.15098520250998237, + -0.13907931476794924, + -0.1285115393655335, + -0.11942884690351635, + -0.11194232042236427, + -0.10612516130851578, + -0.10201158040506712, + -0.09959659440127688, + -0.09883672581662782, + -0.0996515832525015, + -0.10192627758644132, + -0.10551460994237008, + -0.11024294906753644, + -0.11591469962470487, + -0.12231524925549132, + -0.1292172714154798, + -0.13638625318193776, + -0.1435861126728083, + -0.1505847694931764, + -0.15715953376177644, + -0.16310218470164187, + -0.16822361836050004, + -0.17235795553530162, + -0.1753660151165882, + -0.17713807448295982, + -0.17759585684888185, + -0.176693705140386, + -0.17441892254922994, + -0.17079128088165774, + -0.1658617186494573, + -0.15971027102945337, + -0.15244329284116356, + -0.14419005308933044, + -0.13509879495812516, + -0.12533236804906006, + -0.11506354980866347, + -0.10447018024776396, + -0.09373023804036022, + -0.08301698681469083, + -0.0724943179023488, + -0.062312410065221466, + -0.052603817926916624, + -0.04348008922371436, + -0.0350289968589009, + -0.027312455455553136, + -0.020365174072197036, + -0.014194077432343266, + -0.008778507913724653, + -0.004071200156602179, + -3.524442801006606e-17 + ], + [ + 0, + 0.0029806088238126197, + 0.0056376348955634835, + 0.008091346134285056, + 0.0104703447255062, + 0.012907571064156638, + 0.015536169869117544, + 0.01848532942452599, + 0.021876205813500613, + 0.02581804204904051, + 0.03040458722149584, + 0.035710913290435194, + 0.041790717137419726, + 0.048674183215232, + 0.056366467885989466, + 0.06484685069252147, + 0.07406858075244528, + 0.08395942863147424, + 0.09442293589074117, + 0.1053403364703844, + 0.11657310662389868, + 0.127966083696475, + 0.13935107906246208, + 0.15055089738351474, + 0.16138366335628435, + 0.1716673485695977, + 0.18122438520829479, + 0.1898862502804343, + 0.19749790389237146, + 0.20392196786582478, + 0.20904253662312466, + 0.2127685206305331, + 0.21503643358563967, + 0.21581254770066546, + 0.21509435654925843, + 0.21291130164107072, + 0.20932473675695973, + 0.20442712267892948, + 0.19834046382466203, + 0.1912140169805413, + 0.183221320357081, + 0.1745566081194074, + 0.16543069095199908, + 0.156066396717054, + 0.14669367652176926, + 0.13754449023827356, + 0.12884759149959799, + 0.12082333527183373, + 0.11367863119368583, + 0.10760216297052233, + 0.10275998827492316, + 0.09929162497599386, + 0.09730671830056938, + 0.09688236998995284, + 0.09806119498242358, + 0.10085015400008265, + 0.10522019206445753, + 0.111106693854299, + 0.11841074741573178, + 0.12700118851141032, + 0.13671737931953365, + 0.14737265771773653, + 0.15875837743659235, + 0.17064844533095302, + 0.18280425023615973, + 0.19497986863655037, + 0.2069274258997271, + 0.21840248827808262, + 0.22916936033378005, + 0.23900616491597634, + 0.24770958824663108, + 0.2550991809188179, + 0.2610211164748717, + 0.26535132244309995, + 0.26799791394590766, + 0.26890287687461095, + 0.26804296574255765, + 0.26542980023427676, + 0.2611091637013966, + 0.25515952594572044, + 0.2476898311101825, + 0.23883660891914996, + 0.22876048344727612, + 0.21764216766461622, + 0.20567804386553545, + 0.1930754394555835, + 0.180047714221535, + 0.16680927899012513, + 0.1535706664067187, + 0.1405337724254234, + 0.12788738205944775, + 0.11580308512889295, + 0.10443167736492473, + 0.09390012954975496, + 0.08430919271279799, + 0.0757316911349116, + 0.0682115374438825, + 0.06176348585339994, + 0.05637362106060527, + 0.05200056193650917, + 0.04857734137677207, + 0.046013906968871754, + 0.04420017188963007, + 0.04300953205095438, + 0.0423027542911546, + 0.041932131638975405, + 0.04174579557039401, + 0.041592071880117126, + 0.04132376637582199, + 0.0408022690764003, + 0.039901370886298825, + 0.038510694686460255, + 0.036538653221340825, + 0.03391485880224915, + 0.030591924366118548, + 0.02654661145523731, + 0.02178029780941924, + 0.016318755052284643, + 0.01021124495613319, + 0.0035289605286693577, + -0.003637144770630197, + -0.01117908043893092, + -0.018975021310600654, + -0.026892902746219503, + -0.03479431216877023, + -0.04253857266335228, + -0.04998690920890171, + -0.05700658576908134, + -0.0634749019960621, + -0.06928294168443457, + -0.07433897127010668, + -0.07857139544791593, + -0.08193118816285473, + -0.08439373053361482, + -0.08596000236018358, + -0.08665709037068682, + -0.08653799386175313, + -0.08568072644100257, + -0.08418673073480917, + -0.08217864072100203, + -0.07979744333463012, + -0.07719910674474638, + -0.07455075681110937, + -0.0720264953417735, + -0.06980296357511953, + -0.06805476154954411, + -0.06694983851089414, + -0.06664497112037802, + -0.06728144491415154, + -0.06898105025305604, + -0.07184249698243082, + -0.07593834236307452, + -0.08131251476694619, + -0.08797850144722236, + -0.09591825273730692, + -0.10508183769756306, + -0.1153878679373504, + -0.12672468754346122, + -0.13895230820793358, + -0.15190505023413697, + -0.16539483256622564, + -0.1792150387689137, + -0.1931448713859064, + -0.20695409468837087, + -0.22040805580101966, + -0.23327286681584347, + -0.24532062596054227, + -0.2563345542990502, + -0.2661139258516133, + -0.2744786734041494, + -0.2812735595305604, + -0.28637181230597747, + -0.2896781376057051, + -0.29113103446524613, + -0.2907043563691024, + -0.2884080791431361, + -0.2842882549150794, + -0.2784261509238082, + -0.27093659133049436, + -0.2619655391422862, + -0.25168697344016977, + -0.24029913386693882, + -0.2280202193704832, + -0.21508364114599107, + -0.2017329402631666, + -0.1882164883453485, + -0.17478209469559267, + -0.1616716453195133, + -0.14911589832790506, + -0.13732955623971915, + -0.12650672884723513, + -0.11681689072019238, + -0.10840142535109773, + -0.10137083367733231, + -0.09580266860793055, + -0.0917402396297323, + -0.08919211299949992, + -0.08813241390052468, + -0.08850191772221552, + -0.09020989877872276, + -0.09313668677732938, + -0.09713686461735133, + -0.1020430260516749, + -0.1076699987397971, + -0.1138194275762569, + -0.12028460514587987, + -0.12685543092665483, + -0.13332337855215032, + -0.13948635110573634, + -0.145153308022481, + -0.15014855362295276, + -0.1543155864275216, + -0.15752041996556373, + -0.1596542995067732, + -0.1606357546545293, + -0.1604119446631572, + -0.15895927124692427, + -0.1562832520903996, + -0.15241766678661836, + -0.1474230050597849, + -0.14138426442215585, + -0.13440816044118575, + -0.12661982715651052, + -0.1181590975326262, + -0.10917646385913832, + -0.09982882547167889, + -0.0902751358831053, + -0.08067206327554248, + -0.07116977727001546, + -0.06190797099527166, + -0.05301222082600027, + -0.04459077692711651, + -0.036731866163733015, + -0.029501575313043885, + -0.022942367192838167, + -0.017072265692244133, + -0.011884728176546688, + -0.007349205784400901, + -0.003412374198040849, + -2.962357926880667e-17 + ], + [ + 0, + 0.0024830343071515363, + 0.004734450712215819, + 0.006862478518343762, + 0.008980717566169425, + 0.011204598087193702, + 0.013647775249507848, + 0.016418555313937915, + 0.019616449673657655, + 0.023328949932150556, + 0.027628611659890785, + 0.03257052669646757, + 0.038190254026318766, + 0.04450226759916073, + 0.051498966283033666, + 0.05915027675978994, + 0.06740386496148235, + 0.07618595598454607, + 0.08540274670186938, + 0.09494237991777754, + 0.1046774342666276, + 0.11446787051349716, + 0.12416436281970904, + 0.1336119331954414, + 0.14265379904179507, + 0.15113533760075906, + 0.15890806744333683, + 0.16583354593392158, + 0.1717870829509212, + 0.17666117499453937, + 0.18036857008474105, + 0.18284488239744545, + 0.18405068619958626, + 0.1839730310666169, + 0.18262633429643604, + 0.1800526215305224, + 0.17632110248550212, + 0.17152708499502306, + 0.16579024686038962, + 0.15925230090565964, + 0.15207410373462024, + 0.1444322726178856, + 0.13651538735106813, + 0.12851986450916167, + 0.12064560001202752, + 0.11309148209648114, + 0.1060508805036935, + 0.0997072188388355, + 0.09422973560833076, + 0.08976953541808039, + 0.08645602531604833, + 0.08439382243827444, + 0.08366020817963002, + 0.08430319132257222, + 0.08634022822765398, + 0.08975763266565225, + 0.0945106915295893, + 0.10052448590274193, + 0.10769540018369315, + 0.11589328558992701, + 0.1249642287762912, + 0.13473386189349293, + 0.14501113752568073, + 0.1555924808988659, + 0.16626622281230116, + 0.17681721013011445, + 0.1870314865408913, + 0.19670093474785247, + 0.20562777232799384, + 0.21362879716698727, + 0.2205392845462907, + 0.22621644647714975, + 0.23054237453285858, + 0.23342639996360612, + 0.23480681897938888, + 0.23465194640983902, + 0.23296047711968432, + 0.22976115117907614, + 0.22511173545273241, + 0.21909735057385663, + 0.21182818781073437, + 0.20343667473772867, + 0.19407416153867543, + 0.18390721088720585, + 0.17311358339794106, + 0.16187801740890176, + 0.15038790617954337, + 0.138828977371894, + 0.12738107888844946, + 0.11621417179761798, + 0.10548462527639195, + 0.09533190039178804, + 0.0858756993355806, + 0.07721364468038203, + 0.06941953964378207, + 0.06254224557286427, + 0.056605197264648174, + 0.05160656070914574, + 0.047520021780815394, + 0.04429617871128021, + 0.04186449624115172, + 0.04013576554188065, + 0.039005001661000745, + 0.03835469967984008, + 0.038058362240733314, + 0.03798420480868333, + 0.0379989411315825, + 0.03797154994470957, + 0.037776925058139434, + 0.03729931453588624, + 0.03643546062691559, + 0.03509736028497291, + 0.03321457630517086, + 0.03073604104893522, + 0.027631308119969725, + 0.02389122185111979, + 0.01952798969671591, + 0.014574658210253319, + 0.009084008827777233, + 0.0031269047791165844, + -0.0032098652705002083, + -0.009826188148685104, + -0.01661160139201048, + -0.02344856269440761, + -0.03021592581519282, + -0.03679252970975437, + -0.043060804573749716, + -0.04891029789078374, + -0.05424102546088181, + -0.05896655671685374, + -0.06301675030055195, + -0.06634006470481112, + -0.06890537956852306, + -0.07070327567161092, + -0.07174673550080865, + -0.07207124109868591, + -0.07173426139369296, + -0.07081413694794716, + -0.06940838565479791, + -0.06763146797568041, + -0.06561206444402723, + -0.0634899310240198, + -0.06141240916618286, + -0.05953067676222177, + -0.05799583342701629, + -0.056954918438104664, + -0.056546962111902674, + -0.05689917132189906, + -0.058123347260615514, + -0.060312628470836405, + -0.06353864474088662, + -0.0678491578509416, + -0.07326625360446871, + -0.07978513636185139, + -0.08737356273500672, + -0.09597193555937064, + -0.10549406311531928, + -0.11582857222293885, + -0.12684094768614818, + -0.1383761550144219, + -0.1502617887887953, + -0.16231167582582376, + -0.17432985075859922, + -0.18611481208685843, + -0.19746395938966338, + -0.2081781074312388, + -0.21806597045159645, + -0.22694851008495773, + -0.2346630430935129, + -0.2410670103805422, + -0.2460413164320548, + -0.24949315824696003, + -0.2513582747146896, + -0.25160256099922546, + -0.25022300746070114, + -0.2472479386271491, + -0.24273654433146793, + -0.2367777119486, + -0.2294881852959855, + -0.22101009179166886, + -0.21150789450857227, + -0.20116483945390112, + -0.19017898040600104, + -0.17875887366507684, + -0.16711904287515822, + -0.1554753194633312, + -0.14404016708813835, + -0.13301809872432815, + -0.12260129263161372, + -0.11296550852080231, + -0.10426639786403959, + -0.09663629267883853, + -0.09018154548503314, + -0.08498047977574098, + -0.08108199558591002, + -0.07850485894704018, + -0.07723768757117434, + -0.0772396284136349, + -0.07844170623019527, + -0.08074880627378132, + -0.08404223925730932, + -0.08818282300774159, + -0.09301440318372402, + -0.09836772531590902, + -0.10406456249768029, + -0.10992199749262578, + -0.1157567549631541, + -0.12138947902958817, + -0.12664885344493299, + -0.13137546625775082, + -0.13542532781284022, + -0.13867296012640298, + -0.1410139868346088, + -0.14236716576901204, + -0.14267582043493904, + -0.1419086419023875, + -0.14005984848146222, + -0.1371487066495537, + -0.13321843262401853, + -0.12833450933587087, + -0.12258246797568684, + -0.11606519639570886, + -0.10889984813845474, + -0.10121443543963789, + -0.09314419698784676, + -0.08482783633516013, + -0.07640372952005618, + -0.0680062006264158, + -0.059761961662724114, + -0.05178680836903943, + -0.04418265647222137, + -0.03703499369633075, + -0.03041081173222803, + -0.024357069662453764, + -0.018899726348770744, + -0.014043364376366047, + -0.009771412689605491, + -0.006046959441789385, + -0.002814131211462107, + -2.4529696943190875e-17 + ], + [ + 0, + 0.0020304400161089194, + 0.003907884071547167, + 0.005726492958941088, + 0.007583364410422898, + 0.00957549801408649, + 0.011796751189099423, + 0.014334868169270987, + 0.017268662189278833, + 0.02066542725044639, + 0.024578650058867977, + 0.029046085122336796, + 0.03408824675449505, + 0.0397073610967095, + 0.045886809497672015, + 0.05259108198373891, + 0.05976624642706498, + 0.06734092570465837, + 0.07522776197578147, + 0.08332533452064408, + 0.09152048570154063, + 0.09969099883033472, + 0.10770856232819034, + 0.11544194678533203, + 0.12276031557089728, + 0.1295365856609709, + 0.1356507534528769, + 0.14099310057014308, + 0.14546719703635538, + 0.1489926236551397, + 0.1515073418733429, + 0.15296964767110713, + 0.15335965591605216, + 0.15268027289834066, + 0.15095762715312172, + 0.1482409418725963, + 0.14460184588689964, + 0.14013313401361988, + 0.1349470011982232, + 0.12917278795423864, + 0.12295428683758325, + 0.11644667074932516, + 0.10981311347907764, + 0.1032211808357603, + 0.09683907676340696, + 0.0908318328528462, + 0.0853575315312503, + 0.08056365288909956, + 0.07658363259037497, + 0.07353371366302842, + 0.0715101682918589, + 0.07058695719369171, + 0.07081388395019028, + 0.07221529005278234, + 0.0747893236582003, + 0.07850780147133249, + 0.08331666909434587, + 0.08913705094973245, + 0.0958668668464502, + 0.1033829787545941, + 0.11154381871409093, + 0.12019243733475482, + 0.12915990232817892, + 0.13826896819030612, + 0.14733793172969015, + 0.15618458376648192, + 0.16463016511684664, + 0.17250323497976885, + 0.17964336205670878, + 0.18590455310402362, + 0.1911583400352114, + 0.19529645499675524, + 0.1982330328331904, + 0.19990629178857364, + 0.20027965588227434, + 0.19934229583832722, + 0.19710907941040753, + 0.1936199360873237, + 0.18893865514139338, + 0.183151149453308, + 0.17636323018423478, + 0.1686979488620891, + 0.16029257352586623, + 0.15129527398674586, + 0.141861597815881, + 0.13215082320106017, + 0.12232227722261005, + 0.11253170833033284, + 0.10292779985913177, + 0.09364890735614, + 0.08482009641376688, + 0.07655054976778809, + 0.06893140282968548, + 0.062034055820651725, + 0.05590899853817488, + 0.05058517081962778, + 0.04606986829532438, + 0.04234918938250524, + 0.03938900600145239, + 0.037136427530229485, + 0.035521715376859136, + 0.03446059453724142, + 0.033856898895201853, + 0.033605479043672094, + 0.033595295257808494, + 0.03371261408040239, + 0.03384422488605809, + 0.03388059282001199, + 0.033718866653591764, + 0.03326566430162239, + 0.03243956489656904, + 0.03117324425021845, + 0.029415200052017223, + 0.027131024010124603, + 0.02430419005983518, + 0.020936340440931154, + 0.017047064558690893, + 0.012673178759963103, + 0.007867528140885557, + 0.002697343927506035, + -0.0027577984799030883, + -0.008408365326099074, + -0.014157529759548752, + -0.01990404481233357, + -0.025545246931418852, + -0.030980109420772898, + -0.03611226375287184, + -0.04085290741345921, + -0.04512351973855144, + -0.04885831201842549, + -0.05200634485960028, + -0.05453325424454461, + -0.05642253769817538, + -0.05767636320981755, + -0.05831587578658631, + -0.058380989421371786, + -0.05792966552046308, + -0.057036692117712964, + -0.05579199116835302, + -0.05429849353787282, + -0.05266963266713598, + -0.05102651801491664, + -0.049494857994838624, + -0.04820170901399608, + -0.047272132206839124, + -0.04682584240902666, + -0.04697393475130555, + -0.04781577294523927, + -0.049436119906397236, + -0.05190258589500721, + -0.05526346197866399, + -0.05954599751398669, + -0.0647551697251733, + -0.07087298158638922, + -0.07785831138274749, + -0.08564732384674134, + -0.09415443897560276, + -0.10327384087089211, + -0.1128814955455433, + -0.12283763394803857, + -0.13298964477424485, + -0.14317531126607297, + -0.15322631739223053, + -0.1629719417914062, + -0.1722428528099956, + -0.18087491501459935, + -0.18871291678213453, + -0.19561412999221114, + -0.2014516164381167, + -0.20611720125146127, + -0.209524041267012, + -0.21160872565603137, + -0.21233285710230712, + -0.21168407402061318, + -0.2096764875264316, + -0.20635052073781268, + -0.20177215218808203, + -0.19603157930628196, + -0.1892413317355421, + -0.18153387737147622, + -0.1730587760936995, + -0.16397944693901845, + -0.15446962366217365, + -0.14470958102535492, + -0.1348822195710948, + -0.1251690999333533, + -0.11574651884893944, + -0.10678171792004192, + -0.0984293128769756, + -0.09082802568026745, + -0.08409779441659784, + -0.07833732676562777, + -0.07362215207009006, + -0.07000321499345323, + -0.0675060406934384, + -0.06613048769557868, + -0.06585109055510482, + -0.06661798029226096, + -0.06835835681987404, + -0.0709784744880153, + -0.07436608976724024, + -0.07839330927267175, + -0.08291976705744364, + -0.08779605259867075, + -0.09286730534107854, + -0.09797688818334137, + -0.10297005096920504, + -0.10769749590538565, + -0.11201875984297932, + -0.11580533344733297, + -0.11894344431076749, + -0.12133643985314585, + -0.12290671618382927, + -0.12359715070429526, + -0.12337200882173635, + -0.12221730840475058, + -0.12014063921120154, + -0.1171704481163683, + -0.11335481422823711, + -0.1087597505670498, + -0.10346708059625212, + -0.09757194823508293, + -0.09118002880477682, + -0.08440451544472048, + -0.0773629607097934, + -0.07017405620145999, + -0.06295443411996225, + -0.055815573533079504, + -0.04886089097151808, + -0.04218308976762719, + -0.0358618354885583, + -0.02996181605971619, + -0.02453123495404862, + -0.019600774398524742, + -0.015183053212144885, + -0.011272590953689605, + -0.007846276850564644, + -0.0048643288374865005, + -0.002271715288426123, + -1.9909610495908785e-17 + ], + [ + 0, + 0.001615617337400946, + 0.003142299233609343, + 0.004658525748938165, + 0.006243843496931414, + 0.007976371165696687, + 0.009930335707277405, + 0.012173705626256345, + 0.01476598538415983, + 0.01775623087445583, + 0.021181340315537926, + 0.025064667896594155, + 0.02941499926971312, + 0.03422591871812456, + 0.03947558777819747, + 0.04512694450492538, + 0.051128321714115105, + 0.057414471683470907, + 0.0639079742236016, + 0.07052099500644181, + 0.07715735181711457, + 0.08371483821063432, + 0.09008774711622197, + 0.0961695314177089, + 0.10185553459152079, + 0.10704572220809422, + 0.11164734456069793, + 0.11557746189671735, + 0.11876526666594132, + 0.12115414180049665, + 0.1227034001924376, + 0.1233896580893287, + 0.12320780390187196, + 0.12217153369636594, + 0.12031343518868237, + 0.11768461310607739, + 0.11435386006593862, + 0.11040638835749969, + 0.10594214892515684, + 0.10107377416921771, + 0.09592419064477231, + 0.09062395611552324, + 0.08530838249686101, + 0.08011451182291805, + 0.07517801635356786, + 0.07063009619684127, + 0.06659444829971806, + 0.06318437933930612, + 0.060500131954791335, + 0.058626488969719746, + 0.05763071387747192, + 0.05756087805273944, + 0.0584446160963638, + 0.06028834063883795, + 0.06307693706336943, + 0.06677394722639883, + 0.07132223962859287, + 0.07664515190551006, + 0.08264808024651292, + 0.08922047968750439, + 0.09623822941764777, + 0.10356630853146209, + 0.11106172025788215, + 0.11857659678733837, + 0.12596141254055793, + 0.13306823118247396, + 0.1397539109428067, + 0.14588319387882637, + 0.15133160757847247, + 0.15598811238248245, + 0.15975743338958406, + 0.16256202414702778, + 0.1643436178321633, + 0.16506433168104165, + 0.1647073011732518, + 0.16327683177517568, + 0.16079806760035098, + 0.15731618788340324, + 0.15289515340160764, + 0.1476160356418998, + 0.1415749713419451, + 0.134880793793441, + 0.12765239977264414, + 0.120015916977615, + 0.1121017412605604, + 0.10404151564349565, + 0.09596512403504937, + 0.08799777170824954, + 0.08025722198026607, + 0.07285125422550161, + 0.06587540246490393, + 0.05941102645740831, + 0.05352375865961601, + 0.04826236083299258, + 0.04365801370491651, + 0.03972405219057297, + 0.036456147529208296, + 0.0338329265585863, + 0.03181700752229146, + 0.03035642154443295, + 0.029386379469142545, + 0.028831335380814494, + 0.02860729100126505, + 0.02862427947594249, + 0.028788962950844647, + 0.029007275903156864, + 0.02918704547808333, + 0.029240521114847883, + 0.029086748485711057, + 0.02865372714964609, + 0.027880297222658654, + 0.026717707637283875, + 0.025130827018010244, + 0.023098967621308954, + 0.020616302938578072, + 0.017691870179640058, + 0.014349159673939396, + 0.010625303971949999, + 0.006569889828340345, + 0.0022434260378556784, + -0.0022844909731001397, + -0.006937264047617234, + -0.01163357837414439, + -0.016289819301026846, + -0.020822559913916933, + -0.02515105152878784, + -0.029199650098102492, + -0.032900113093575704, + -0.0361937046773186, + -0.039033051822946696, + -0.04138370037807124, + -0.043225327710684845, + -0.04455257736210605, + -0.045375490817568906, + -0.04571952185829804, + -0.045625129715118215, + -0.04514695813186551, + -0.04435261819203157, + -0.04332110309223162, + -0.0421408726993272, + -0.0409076544589858, + -0.03972201480943667, + -0.03868676150085468, + -0.037904241966974346, + -0.03747360601733707, + -0.03748810253248369, + -0.03803247950949884, + -0.039180554724265446, + -0.04099302049590225, + -0.04351554064698116, + -0.04677719087947067, + -0.050789285597377304, + -0.055544624902351195, + -0.06101718529588685, + -0.06716226679162525, + -0.07391709794045029, + -0.08120188897626462, + -0.08892131218108051, + -0.09696637792006448, + -0.10521666487520319, + -0.11354285405777813, + -0.12180950842869633, + -0.12987803359669273, + -0.13760975025827013, + -0.14486900591268104, + -0.15152625201199943, + -0.15746101312882216, + -0.16256467693669402, + -0.1667430377512434, + -0.1699185319805061, + -0.1720321109477293, + -0.17304470500827904, + -0.17293824248016249, + -0.1717161974128523, + -0.1694036513767944, + -0.16604686599511034, + -0.1617123745788934, + -0.15648561268471062, + -0.15046911840835306, + -0.14378034349445695, + -0.136549125627121, + -0.12891488034562953, + -0.12102357770496552, + -0.11302457391037098, + -0.10506737157445531, + -0.09729838389144296, + -0.08985777785650789, + -0.08287646968375878, + -0.07647334184336824, + -0.07075274573881177, + -0.06580234711210797, + -0.061691362968667625, + -0.05846922935754809, + -0.056164728959364835, + -0.05478559637718733, + -0.054318607565995866, + -0.05473014825379116, + -0.05596724478495677, + -0.05795902983239418, + -0.0606186051464918, + -0.06384525418562165, + -0.06752694933015568, + -0.071543091616115, + -0.075767415697419, + -0.08007098918105447, + -0.08432523365987644, + -0.08840489473257551, + -0.09219089004489872, + -0.09557296786190826, + -0.0984521137966165, + -0.10074264994423285, + -0.1023739786348821, + -0.10329193211969083, + -0.1034596995164952, + -0.1028583130110136, + -0.10148668637032061, + -0.09936121000189242, + -0.09651491780520996, + -0.09299625164038275, + -0.08886745911747304, + -0.0842026693470824, + -0.07908569906725824, + -0.07360764798330324, + -0.0678643470691802, + -0.06195372686348958, + -0.0559731743719652, + -0.05001694702735396, + -0.0441737102653435, + -0.038524261704095605, + -0.03313949975914093, + -0.028078687918687017, + -0.02338805801674435, + -0.01909978687479286, + -0.01523137086566724, + -0.011785412535745082, + -0.008749822667969998, + -0.006098430351491548, + -0.0037919830178885744, + -0.0017795082776353264, + -1.5703032273566892e-17 + ], + [ + 0, + 0.0012308156873652451, + 0.00242123825683391, + 0.003632893682619467, + 0.004927190472919895, + 0.006363387322099254, + 0.007996713970726141, + 0.009876596020525886, + 0.012045031828029048, + 0.01453516573811572, + 0.01737009691362479, + 0.020561956995426255, + 0.024111282940259885, + 0.02800670380456928, + 0.03222495216245217, + 0.03673120246847406, + 0.041479730212959774, + 0.04641487738243124, + 0.05147230174213495, + 0.05658048000394018, + 0.06166242822084382, + 0.06663759693041459, + 0.07142389380292137, + 0.075939782958693, + 0.08010640779730804, + 0.08384968319078961, + 0.08710230326315525, + 0.08980561270457071, + 0.09191129261120394, + 0.09338281612993778, + 0.09419663461740245, + 0.09434306146364872, + 0.09382682802503954, + 0.0926672940798209, + 0.09089830366737862, + 0.08856768589008984, + 0.08573640902942457, + 0.0824774049381936, + 0.07887408890475202, + 0.0750186078375895, + 0.07100985649903332, + 0.06695130745244535, + 0.06294870522896132, + 0.05910767884489787, + 0.05553132911661537, + 0.05231784816519252, + 0.04955822805170651, + 0.04733411364261451, + 0.04571585161526291, + 0.04476078305080796, + 0.044511821432085534, + 0.04499635120238981, + 0.046225474508405064, + 0.04819362552899602, + 0.05087856308064722, + 0.0542417432017359, + 0.058229064370234986, + 0.06277196912324048, + 0.0677888773384838, + 0.07318691851520623, + 0.07886392324770006, + 0.08471062789374119, + 0.09061304135306712, + 0.09645491901200078, + 0.10212028637328727, + 0.10749595373676897, + 0.11247396355447864, + 0.11695391374621622, + 0.12084510328754901, + 0.12406845069687272, + 0.12655814154564585, + 0.1282629676612211, + 0.12914732812432458, + 0.12919187030110846, + 0.1283937577935923, + 0.12676656113086227, + 0.12433977603823243, + 0.12115798299275736, + 0.11727967028489013, + 0.11277575075073583, + 0.10772780952451944, + 0.10222612641281126, + 0.09636752166020215, + 0.09025307783690278, + 0.08398579323847981, + 0.07766822348520738, + 0.07140016791551473, + 0.0652764558913496, + 0.05938488531361425, + 0.05380436155691531, + 0.04860327977966722, + 0.043838187281540694, + 0.03955275542409827, + 0.03577708278207107, + 0.032527342848801676, + 0.029805780988377106, + 0.027601056624042265, + 0.02588891809405865, + 0.02463318940458473, + 0.02378704046740817, + 0.02329450551705141, + 0.023092208426449004, + 0.023111248729353218, + 0.02327919843029751, + 0.023522157228977002, + 0.023766812662936447, + 0.023942451904751024, + 0.023982873527760507, + 0.02382815043451362, + 0.02342619924851607, + 0.022734116696133906, + 0.021719249717185002, + 0.02035997308089359, + 0.018646155969031623, + 0.016579307124727594, + 0.014172396546985966, + 0.011449360124901296, + 0.008444301838711369, + 0.005200415998820837, + 0.0017686592502644937, + -0.0017937914447663723, + -0.00542525308376657, + -0.009061376923242348, + -0.012637065278205383, + -0.016088413286292985, + -0.01935462341118728, + -0.022379841111559287, + -0.025114862078760614, + -0.027518664699623045, + -0.029559725848511655, + -0.031217083643589025, + -0.03248111727708241, + -0.03335402128531168, + -0.033849959478629295, + -0.03399489200624534, + -0.03382607747790059, + -0.033391260490082446, + -0.03274756309582393, + -0.031960106506473275, + -0.031100396424365, + -0.030244511695958404, + -0.02947114128486348, + -0.028859518756716673, + -0.028487306434261166, + -0.028428483042937172, + -0.028751288978950754, + -0.029516282281038458, + -0.030774555995858276, + -0.032566163950537186, + -0.03491879707201635, + -0.03784674643914441, + -0.04135018236484355, + -0.045414771150606104, + -0.0500116429220029, + -0.05509771534458702, + -0.0606163692470928, + -0.06649846346030554, + -0.07266366773162262, + -0.07902208460723872, + -0.08547612388463821, + -0.0919225868099455, + -0.09825491178897663, + -0.10436552913396925, + -0.11014826938800462, + -0.11550076813303423, + -0.1203268099392334, + -0.12453855526294451, + -0.12805859662319927, + -0.1308217942243388, + -0.1327768462536844, + -0.13388755524749701, + -0.13413375903718147, + -0.1335119026888345, + -0.13203523634131356, + -0.12973363272483165, + -0.12665302718778867, + -0.1228544920539259, + -0.1184129658557702, + -0.11341566623105674, + -0.1079602228253555, + -0.10215257323218074, + -0.0961046706582441, + -0.08993205648829886, + -0.08375135413189347, + -0.07767774238522268, + -0.07182246699038396, + -0.06629044811113861, + -0.06117803909288624, + -0.05657098819296743, + -0.05254265004623261, + -0.04915248759092081, + -0.04644489816943889, + -0.04444838970948949, + -0.043175124474370795, + -0.042620839053104244, + -0.042765140256872766, + -0.043572167617900906, + -0.04499160446908477, + -0.0469600113295923, + -0.04940244773376786, + -0.052234341901804635, + -0.055363561923436944, + -0.05869263754783813, + -0.062121078352940416, + -0.06554773208333255, + -0.06887312634246122, + -0.07200173761269213, + -0.0748441337321695, + -0.07731893942296166, + -0.07935457915103583, + -0.08089075738561646, + -0.08187964306686914, + -0.08228673261680158, + -0.0820913739498996, + -0.08128694245411046, + -0.07988066860688445, + -0.07789312554861141, + -0.07535739334190679, + -0.07231792459148018, + -0.06882914338936263, + -0.06495381600443967, + -0.06076123719512684, + -0.05632528035636087, + -0.051722362811995715, + -0.047029379357322494, + -0.04232165760270791, + -0.0376709877609426, + -0.033143777284434836, + -0.028799377253682115, + -0.024688622736988727, + -0.020852623604023658, + -0.017321835629658007, + -0.014115434339348193, + -0.011241006111185097, + -0.008694562764309414, + -0.006460877438924432, + -0.004514131223117793, + -0.002818851917589367, + -0.0013311187552393273, + -1.1843493770707101e-17 + ], + [ + 0, + 0.0008678594917907776, + 0.001727667107702416, + 0.002623474976496898, + 0.0035984330673362193, + 0.0046934262827384885, + 0.005945770209608244, + 0.007388000808831593, + 0.009046790933597833, + 0.010942023328478614, + 0.013086045756747561, + 0.015483129233204003, + 0.018129145121468154, + 0.021011471219844466, + 0.024109131050529694, + 0.027393164532368244, + 0.030827222210059856, + 0.034368369384757375, + 0.03796808099012057, + 0.04157340302389074, + 0.04512825190620089, + 0.0485748194057023, + 0.05185504784915648, + 0.05491213828541311, + 0.05769205316473922, + 0.06014497495007031, + 0.06222668290459476, + 0.06389981208255101, + 0.06513496124569736, + 0.06591161997221337, + 0.06621888953208316, + 0.06605597706835825, + 0.06543244812552411, + 0.06436822846929399, + 0.06289335230102075, + 0.061047460232358575, + 0.05887905659670701, + 0.05644454167913611, + 0.053807040096490885, + 0.05103505171323492, + 0.04820095600732558, + 0.04537940459021613, + 0.04264563954017704, + 0.040073777253180176, + 0.037735098597567004, + 0.0356963862482625, + 0.034018349168452325, + 0.0327541723210391, + 0.03194822687256966, + 0.031634972465486785, + 0.03183807866874669, + 0.03256978757958697, + 0.033830533864713755, + 0.035608832435186734, + 0.03788143759383052, + 0.040613771031686285, + 0.043760609638213786, + 0.047267017884946194, + 0.05106950369543255, + 0.05509737136824439, + 0.059274240405080385, + 0.06351969512764119, + 0.06775102684186139, + 0.07188502810247703, + 0.07583979739854202, + 0.07953651235128627, + 0.08290113029499609, + 0.08586597688007572, + 0.08837118605155954, + 0.09036595834946204, + 0.09180960886128632, + 0.09267238122434965, + 0.09293600970218956, + 0.09259401740750683, + 0.09165174506598402, + 0.09012611115645215, + 0.0880451106660843, + 0.0854470659085266, + 0.0823796487170571, + 0.0788986987016125, + 0.0750668670176427, + 0.07095211912144037, + 0.06662613318424195, + 0.06216263312995198, + 0.057635696595187476, + 0.05311807845552957, + 0.04867958991291058, + 0.04438557151495309, + 0.040295495920846816, + 0.0364617328059299, + 0.0329285040957307, + 0.029731052846076907, + 0.026895043661647765, + 0.024436206707031984, + 0.022360231257895793, + 0.020662908517536285, + 0.019330517240659054, + 0.018340439715160747, + 0.017661990002336616, + 0.017257431165803208, + 0.01708315365678795, + 0.01709098318013848, + 0.01722958333512459, + 0.017445916181039217, + 0.01768672267067693, + 0.017899984652386354, + 0.018036330866799722, + 0.01805035103656957, + 0.01790178472185086, + 0.01755655502370556, + 0.016987621374105477, + 0.01617563044820133, + 0.015109349549535382, + 0.013785872516585806, + 0.012210594134700643, + 0.010396955060540928, + 0.008365965224027418, + 0.006145519414660234, + 0.0037695241397271107, + 0.001276859725291308, + -0.001289794106477647, + -0.003885237415831994, + -0.006463099495593103, + -0.008977222278746151, + -0.011383040492268223, + -0.013638921404692663, + -0.015707428028170108, + -0.01755647157831939, + -0.01916032181827339, + -0.020500447546103615, + -0.021566163835908144, + -0.02235506760275226, + -0.02287324850542333, + -0.023135267991358833, + -0.02316390527900663, + -0.022989675112949647, + -0.022650128063594434, + -0.02218894982571071, + -0.0216548812543887, + -0.021100485628604934, + -0.02058079373025272, + -0.02015186066508775, + -0.019869270845303166, + -0.01978662913613445, + -0.019954076798436846, + -0.02041687051678647, + -0.02121406149380584, + -0.02237730934575912, + -0.02392986240511391, + -0.025885732098018806, + -0.02824908441412273, + -0.031013866236471406, + -0.03416367857914741, + -0.03767190273066521, + -0.04150207907120366, + -0.045608532075685444, + -0.04993722888764122, + -0.05442685300299557, + -0.05901006918405726, + -0.06361495086747446, + -0.0681665371575167, + -0.0725884831128694, + -0.07680476452701943, + -0.0807413968336508, + -0.08432812718057542, + -0.08750005912582665, + -0.09019917081027366, + -0.09237568982068865, + -0.09398929122019856, + -0.09501008931169652, + -0.09541939851589812, + -0.09521024417309301, + -0.09438760998486945, + -0.09296841505583717, + -0.09098121992387663, + -0.08846566742422418, + -0.0854716705604539, + -0.08205836559984611, + -0.07829285422427731, + -0.07424876361361799, + -0.0700046576935102, + -0.06564233633702815, + -0.06124506198325165, + -0.05689575486006435, + -0.05267519873151314, + -0.04866029881419618, + -0.044922432229340246, + -0.041525929109043014, + -0.038526719311858054, + -0.03597117570211256, + -0.03389518020721151, + -0.03232343350379356, + -0.0312690233283061, + -0.030733260203575287, + -0.03070578297189679, + -0.03116493008336881, + -0.03207836626271132, + -0.033403948122711705, + -0.03509080665488595, + -0.037080619444654725, + -0.039309041052177744, + -0.04170725637701704, + -0.044203619071573254, + -0.0467253352498224, + -0.04920015189616484, + -0.051558009531955426, + -0.053732619837740886, + -0.055662931026262075, + -0.057294446760256273, + -0.058580368233169006, + -0.05948253358306619, + -0.059972133975492996, + -0.060030191340022764, + -0.0596477887363716, + -0.05882605050964638, + -0.05757587561655815, + -0.055917433610644815, + -0.053879438613353293, + -0.05149822202484659, + -0.04881662960981715, + -0.04588277280947869, + -0.04274866757819154, + -0.039468796638160934, + -0.03609863272607524, + -0.03269316113214593, + -0.02930543958939923, + -0.025985232368143395, + -0.022777753300210746, + -0.019722549455920484, + -0.016852553401534298, + -0.014193327473856791, + -0.011762518436454383, + -0.009569535358028642, + -0.007615457718252371, + -0.005893174747981725, + -0.004387751001246407, + -0.0030770072879582745, + -0.0019323005173606921, + -0.0009194808539423287, + -8.25935980239455e-18 + ], + [ + 0, + 0.0005182704059053997, + 0.0010442285879333235, + 0.0016040947485557822, + 0.0022231041890830496, + 0.0029247069438672105, + 0.0037298147045610147, + 0.0046561154417779525, + 0.005717474399494026, + 0.006923437923636263, + 0.008278853946253169, + 0.0097836199469659, + 0.011432565929676947, + 0.013215476467606633, + 0.015117252271629312, + 0.01711820811653087, + 0.019194500408822146, + 0.021318674288113095, + 0.023460317007898353, + 0.025586801521012458, + 0.027664101772020652, + 0.029657659235605625, + 0.03153327878735282, + 0.03325803108928797, + 0.03480113834146408, + 0.03613482050292361, + 0.037235079915990586, + 0.03808240365812159, + 0.03866236486247615, + 0.03896610664575121, + 0.03899069510135992, + 0.03873933098876508, + 0.03822141319778903, + 0.037452450705067496, + 0.03645382347861976, + 0.03525239653319032, + 0.0338799950005918, + 0.032372751564656174, + 0.030770340832660233, + 0.029115118093634523, + 0.027451182376529003, + 0.025823385705672, + 0.024276311906883802, + 0.02285324920751601, + 0.02159518117400361, + 0.020539820232165964, + 0.019720707124140733, + 0.01916639819178718, + 0.01889976037407368, + 0.018937391313126314, + 0.019289179040135787, + 0.019958012428769496, + 0.020939650039625085, + 0.022222751221102115, + 0.023789069471239578, + 0.025613804195574238, + 0.02766610321222965, + 0.029909704749550913, + 0.032303704341668925, + 0.03480342903497139, + 0.037361398746669466, + 0.03992835252830934, + 0.0424543159331999, + 0.0448896847052507, + 0.04718629962158068, + 0.049298487541788144, + 0.0511840445375011, + 0.05280513837655128, + 0.0541291095824843, + 0.055129152734410235, + 0.05578486255454108, + 0.05608263258059457, + 0.056015897758051915, + 0.05558521602655898, + 0.05479818782420062, + 0.05366921629902067, + 0.052219114804768825, + 0.050474571875237566, + 0.048467487230812754, + 0.046234195390572316, + 0.04381459607046414, + 0.04125121268006628, + 0.03858820183625567, + 0.035870337853897274, + 0.033141996627466, + 0.030446163173917507, + 0.027823486371434128, + 0.025311403120806278, + 0.022943352310127337, + 0.020748096626373325, + 0.018749167488525068, + 0.01696444524591017, + 0.015405883370969743, + 0.014079381763065222, + 0.012984810559356953, + 0.01211618211278003, + 0.011461965138463665, + 0.011005531539210633, + 0.010725723184103395, + 0.010597523011659619, + 0.010592812331452199, + 0.010681194166721456, + 0.01083086096447534, + 0.011009484035168016, + 0.011185101693699195, + 0.011326983265225509, + 0.011406446886598014, + 0.011397610356226755, + 0.011278056127064664, + 0.011029393851487284, + 0.010637706613641098, + 0.01009387005462247, + 0.009393736930391475, + 0.008538183156859485, + 0.007533015001932667, + 0.0063887406890908004, + 0.005120213190093907, + 0.0037461543167870586, + 0.0022885732895011504, + 0.000772095684724567, + -0.000776779021275886, + -0.0023304712518117895, + -0.003861145082837748, + -0.005341539782018477, + -0.006745786757133491, + -0.008050189903031723, + -0.009233948267936271, + -0.010279801433816375, + -0.011174579984733157, + -0.011909645871715717, + -0.012481210311526167, + -0.012890520008335571, + -0.013143905882376943, + -0.013252692042387146, + -0.013232966359338733, + -0.01310521759604475, + -0.012893847529589147, + -0.012626569782873291, + -0.012333710074500638, + -0.012047425226449422, + -0.011800860469184438, + -0.011627266297373918, + -0.011559097311663482, + -0.011627116101683684, + -0.011859525265345349, + -0.012281150116684975, + -0.012912693520820554, + -0.013770082636013046, + -0.014863925179119952, + -0.016199090214287788, + -0.017774425459387882, + -0.019582619784113197, + -0.021610216019512532, + -0.023837775498715758, + -0.0262401919942248, + -0.028787149001466037, + -0.031443710733665434, + -0.03417103382877844, + -0.0369271837092262, + -0.03966803685620841, + -0.04234824802979828, + -0.044922259740324065, + -0.04734533009980445, + -0.04957455458506099, + -0.05156985724294466, + -0.053294927464614165, + -0.05471807963695661, + -0.05581301471759809, + -0.056559465034310405, + -0.056943706325982675, + -0.05695892415528444, + -0.05660542525741691, + -0.05589068806167279, + -0.05482925044367498, + -0.053442436643169784, + -0.051757929120650886, + -0.04980919483230445, + -0.04763477888633872, + -0.04527748171966509, + -0.042783438724541316, + -0.04020112359202344, + -0.037580298465782216, + -0.03497093527141865, + -0.03242213327183259, + -0.02998105798175055, + -0.027691926052304836, + -0.025595059622414585, + -0.02372603195504322, + -0.0221149239743346, + -0.020785708648140704, + -0.019755777084964437, + -0.019035616810110224, + -0.01862864903613437, + -0.018531227936698317, + -0.01873280106358732, + -0.019216226208343887, + -0.019958236296178586, + -0.020930040400884704, + -0.02209804577032078, + -0.023424682930068195, + -0.024869313556168227, + -0.026389198933385195, + -0.027940505487772667, + -0.029479323132445005, + -0.030962672010115523, + -0.032349473657203726, + -0.033601463639489335, + -0.03468402429137629, + -0.03556691828912199, + -0.036224906349506696, + -0.03663823530469419, + -0.03679298608706813, + -0.03668127468239385, + -0.036301302787725566, + -0.035657258650423795, + -0.034759072273516795, + -0.033622032758460735, + -0.03226627893042594, + -0.030716177470321678, + -0.028999605486162056, + -0.027147156727752458, + -0.02519129242776485, + -0.023165458996184066, + -0.021103195474406197, + -0.019037253754671492, + -0.01699875408926609, + -0.015016397365781687, + -0.013115754037611739, + -0.011318647514151613, + -0.009642647286621429, + -0.008100684157854268, + -0.006700796731994019, + -0.005446014884593683, + -0.0043343823623319296, + -0.003359117045033594, + -0.002508903832471501, + -0.0017683116848651952, + -0.001118323135888138, + -0.0005369616914575457, + -4.87490771407221e-18 + ], + [ + 0, + 0.00017339323377322909, + 0.0003534988980570004, + 0.0005489102183198984, + 0.0007677470250585584, + 0.0010173970330554355, + 0.0013042767821381629, + 0.0016336187302478664, + 0.0020092903179201806, + 0.0024336500012493724, + 0.0029074442987651133, + 0.0034297488404040704, + 0.00399795527058505, + 0.0046078046709892165, + 0.00525346696199217, + 0.005927664545323086, + 0.006621837294746883, + 0.007326344915708905, + 0.00803070170656269, + 0.008723837888426858, + 0.009394380950053254, + 0.010030949896901818, + 0.010622454914407876, + 0.011158394764259505, + 0.011629144234748845, + 0.01202622416246296, + 0.0123425469284251, + 0.012572630898223813, + 0.012712778009079734, + 0.012761209589404557, + 0.012718156506645909, + 0.012585900852298304, + 0.012368767561486782, + 0.01207306559914849, + 0.011706979594986611, + 0.011280414044031859, + 0.010804793378115768, + 0.010292822326207887, + 0.009758211990582612, + 0.009215377945851453, + 0.008679117396852815, + 0.008164272990754654, + 0.00768539125416961, + 0.007256383807799424, + 0.006890199494067591, + 0.006598515337216773, + 0.00639145384519426, + 0.006277333567873083, + 0.006262459060870217, + 0.006350955486759634, + 0.006544652037942172, + 0.006843017213163487, + 0.007243147750612812, + 0.007739811744558678, + 0.008325545180642309, + 0.008990799848738146, + 0.009724139362836566, + 0.010512478864720943, + 0.011341362940458101, + 0.012195275361502904, + 0.013057973497961287, + 0.013912839658944494, + 0.014743241208480268, + 0.015532891095055413, + 0.01626620042369392, + 0.016928614891737463, + 0.017506927298474414, + 0.017989558914932095, + 0.01836680324939007, + 0.018631026648157786, + 0.018776821207761033, + 0.01880110661855517, + 0.01870317878296493, + 0.018484704324167003, + 0.018149661392022974, + 0.01770422845096101, + 0.017156623968178266, + 0.016516901079999993, + 0.015796702371353697, + 0.015008980832522138, + 0.014167693836227527, + 0.013287477588006595, + 0.01238330992927859, + 0.011470169605540984, + 0.010562700146587344, + 0.009674886341256381, + 0.008819750930626442, + 0.008009078600172255, + 0.00725317363715133, + 0.006560656752520504, + 0.005938305568868403, + 0.005390942172241334, + 0.004921369943954013, + 0.004530360658001126, + 0.004216691581146921, + 0.003977231077175342, + 0.0038070700247419056, + 0.0036996952392450533, + 0.0036472000707063624, + 0.003640526456832361, + 0.003669731965058876, + 0.0037242747775645684, + 0.0037933091729302182, + 0.0038659838467540787, + 0.00393173539581447, + 0.003980569466155175, + 0.004003322429776257, + 0.003991896997756781, + 0.003939465885469513, + 0.0038406384998259575, + 0.0036915865973269108, + 0.0034901259401139695, + 0.0032357521277853116, + 0.0029296299762444447, + 0.002574537021045081, + 0.002174762911044178, + 0.0017359675986300608, + 0.0012650022965344505, + 0.0007696981314061073, + 0.0002586282566839654, + -0.0002591501291428336, + -0.0007743668953041086, + -0.0012778159205756516, + -0.0017606304114509903, + -0.0022145491846591757, + -0.002632166733184848, + -0.003007160310727114, + -0.003334487859471304, + -0.003610551355281103, + -0.003833321034064544, + -0.004002416970695334, + -0.004119145582059476, + -0.004186489790773496, + -0.004209052786453401, + -0.004192956526748402, + -0.0041456973001760735, + -0.0040759617971909785, + -0.003993408176325795, + -0.003908417542167662, + -0.003831822047611891, + -0.0037746164738397376, + -0.0037476606112100967, + -0.0037613800504164643, + -0.003825473088095809, + -0.003948631351618417, + -0.004138281455927854, + -0.004400354527745118, + -0.004739089780563933, + -0.005156877513388607, + -0.005654145956837417, + -0.006229295325298233, + -0.006878681279456899, + -0.007596648788188489, + -0.008375616132555217, + -0.009206207548378429, + -0.010077431788502641, + -0.010976902731709811, + -0.011891097101078746, + -0.01280564340706705, + -0.013705635423531419, + -0.014575962858688101, + -0.0154016514140998, + -0.01616820414526722, + -0.016861935954753444, + -0.017470293165581578, + -0.01798215043661892, + -0.018388077785615894, + -0.018680571167640696, + -0.018854240900571074, + -0.01890595321478849, + -0.01883492130747415, + -0.01864274347620753, + -0.01833338716291674, + -0.01791311902706873, + -0.017390382454948648, + -0.01677562516855534, + -0.016081080792367315, + -0.015320509339833354, + -0.01450890256694947, + -0.013662160983608933, + -0.01279674999393437, + -0.011929343137882308, + -0.011076460715789948, + -0.010254112187659571, + -0.009477450647150505, + -0.008760447378741303, + -0.00811559402247119, + -0.0075536392059324135, + -0.007083365674037591, + -0.006711412973816461, + -0.006442149657919311, + -0.0062775977833497585, + -0.0062174112302309835, + -0.006258908079684602, + -0.006397156001535683, + -0.006625108342944231, + -0.006933787408850538, + -0.007312510313461863, + -0.007749151785837576, + -0.008230437456010023, + -0.008742260451603482, + -0.009270013615212574, + -0.00979892932211851, + -0.010314418743840304, + -0.01080240246826057, + -0.011249624649442083, + -0.011643943312719583, + -0.01197459007149303, + -0.012232393305276073, + -0.012409959783893124, + -0.012501810776742825, + -0.012504469832333302, + -0.0124165006232041, + -0.01223849449473147, + -0.011973008602253034, + -0.011624456738543018, + -0.011198956112786365, + -0.01070413441423269, + -0.010148902452278643, + -0.00954319848633355, + -0.008897711023432314, + -0.008223587353093371, + -0.007532135395649226, + -0.006834526555108241, + -0.006141507188255126, + -0.005463126030733604, + -0.004808484465634655, + -0.004185515892593661, + -0.0036007996718259694, + -0.0030594141980323404, + -0.002564832627187794, + -0.0021188636611782583, + -0.0017216386194808888, + -0.0013716448234184244, + -0.0010658041174433862, + -0.0007995941838110914, + -0.000567209201406425, + -0.0003617553843263256, + -0.00017547603671591895, + -1.611457989444377e-18 + ], + [ + 0, + -0.00017547603671590374, + -0.00036175538432630213, + -0.0005672092014063924, + -0.0007995941838110469, + -0.00106580411744332, + -0.001371644823418345, + -0.0017216386194807934, + -0.002118863661178131, + -0.002564832627187649, + -0.0030594141980321773, + -0.0036007996718257604, + -0.004185515892593416, + -0.004808484465634387, + -0.0054631260307333, + -0.006141507188254782, + -0.00683452655510787, + -0.00753213539564883, + -0.008223587353092922, + -0.008897711023431827, + -0.00954319848633304, + -0.010148902452278095, + -0.010704134414232118, + -0.011198956112785775, + -0.011624456738542397, + -0.0119730086022524, + -0.012238494494730835, + -0.012416500623203456, + -0.012504469832332644, + -0.012501810776742183, + -0.012409959783892489, + -0.012232393305275445, + -0.011974590071492403, + -0.011643943312718993, + -0.011249624649441544, + -0.010802402468260001, + -0.01031441874383978, + -0.009798929322118037, + -0.009270013615212114, + -0.008742260451603031, + -0.008230437456009616, + -0.007749151785837207, + -0.007312510313461473, + -0.006933787408850189, + -0.006625108342943896, + -0.006397156001535358, + -0.006258908079684276, + -0.006217411230230658, + -0.006277597783349425, + -0.006442149657918972, + -0.006711412973816104, + -0.007083365674037201, + -0.007553639205931996, + -0.008115594022470723, + -0.008760447378740816, + -0.009477450647149959, + -0.010254112187659, + -0.011076460715789355, + -0.011929343137881644, + -0.012796749993933685, + -0.013662160983608179, + -0.014508902566948673, + -0.015320509339832514, + -0.01608108079236644, + -0.016775625168554447, + -0.017390382454947707, + -0.017913119027067756, + -0.018333387162915757, + -0.01864274347620654, + -0.018834921307473156, + -0.018905953214787493, + -0.018854240900570085, + -0.018680571167639718, + -0.018388077785614947, + -0.01798215043661799, + -0.017470293165580665, + -0.016861935954752584, + -0.016168204145266377, + -0.01540165141409899, + -0.01457596285868739, + -0.013705635423530736, + -0.012805643407066412, + -0.01189109710107816, + -0.010976902731709273, + -0.010077431788502126, + -0.009206207548377959, + -0.008375616132554825, + -0.007596648788188102, + -0.006878681279456563, + -0.006229295325297916, + -0.005654145956837137, + -0.005156877513388352, + -0.004739089780563697, + -0.004400354527744902, + -0.004138281455927644, + -0.00394863135161821, + -0.0038254730880956105, + -0.003761380050416263, + -0.003747660611209896, + -0.003774616473839534, + -0.003831822047611688, + -0.003908417542167451, + -0.003993408176325581, + -0.004075961797190753, + -0.004145697300175841, + -0.004192956526748178, + -0.004209052786453175, + -0.00418648979077328, + -0.004119145582059252, + -0.004002416970695124, + -0.0038333210340643366, + -0.0036105513552809098, + -0.0033344878594711346, + -0.0030071603107269546, + -0.0026321667331847204, + -0.002214549184659062, + -0.0017606304114509022, + -0.0012778159205755974, + -0.0007743668953040727, + -0.0002591501291428336, + 0.00025862825668393827, + 0.0007696981314060624, + 0.0012650022965343718, + 0.0017359675986299652, + 0.0021747629110440616, + 0.0025745370210449358, + 0.002929629976244292, + 0.0032357521277851407, + 0.0034901259401137904, + 0.003691586597326723, + 0.0038406384998257567, + 0.003939465885469314, + 0.0039918969977565675, + 0.004003322429776052, + 0.003980569466154969, + 0.0039317353958142716, + 0.003865983846753886, + 0.0037933091729300283, + 0.003724274777564385, + 0.003669731965058685, + 0.003640526456832173, + 0.0036472000707061716, + 0.0036996952392448603, + 0.0038070700247417022, + 0.003977231077175129, + 0.004216691581146685, + 0.004530360658000874, + 0.004921369943953742, + 0.005390942172241034, + 0.005938305568868073, + 0.006560656752520149, + 0.0072531736371509205, + 0.008009078600171823, + 0.008819750930625946, + 0.00967488634125586, + 0.010562700146586756, + 0.011470169605540342, + 0.012383309929277882, + 0.013287477588005869, + 0.014167693836226746, + 0.015008980832521316, + 0.01579670237135286, + 0.016516901079999105, + 0.017156623968177343, + 0.017704228450960067, + 0.01814966139202201, + 0.018484704324166025, + 0.018703178782963948, + 0.018801106618554185, + 0.018776821207760048, + 0.018631026648156825, + 0.018366803249389118, + 0.017989558914931172, + 0.017506927298473515, + 0.0169286148917366, + 0.0162662004236931, + 0.015532891095054626, + 0.014743241208479509, + 0.0139128396589438, + 0.013057973497960661, + 0.0121952753615023, + 0.011341362940457542, + 0.010512478864720424, + 0.009724139362836087, + 0.008990799848737685, + 0.008325545180641894, + 0.007739811744558308, + 0.007243147750612451, + 0.006843017213163151, + 0.006544652037941838, + 0.006350955486759302, + 0.006262459060869889, + 0.006277333567872749, + 0.006391453845193922, + 0.006598515337216414, + 0.0068901994940672034, + 0.007256383807799025, + 0.007685391254169197, + 0.008164272990754201, + 0.008679117396852317, + 0.009215377945850943, + 0.009758211990582072, + 0.010292822326207303, + 0.010804793378115173, + 0.011280414044031262, + 0.011706979594985973, + 0.012073065599147852, + 0.012368767561486117, + 0.012585900852297625, + 0.012718156506645222, + 0.012761209589403872, + 0.012712778009079072, + 0.012572630898223157, + 0.012342546928424455, + 0.01202622416246233, + 0.011629144234748246, + 0.011158394764258926, + 0.010622454914407331, + 0.010030949896901308, + 0.009394380950052775, + 0.008723837888426409, + 0.00803070170656229, + 0.007326344915708526, + 0.006621837294746553, + 0.005927664545322803, + 0.005253466961991915, + 0.004607804670988994, + 0.003997955270584854, + 0.0034297488404039095, + 0.002907444298764966, + 0.0024336500012492567, + 0.002009290317920092, + 0.0016336187302477864, + 0.0013042767821381026, + 0.0010173970330553891, + 0.0007677470250585184, + 0.0005489102183198725, + 0.0003534988980569862, + 0.00017339323377322575, + 1.6114579894442915e-18 + ], + [ + 0, + -0.0005369616914575236, + -0.0011183231358881168, + -0.0017683116848651755, + -0.0025089038324714857, + -0.0033591170450335524, + -0.0043343823623318775, + -0.005446014884593633, + -0.006700796731993926, + -0.008100684157854185, + -0.009642647286621361, + -0.01131864751415148, + -0.013115754037611624, + -0.015016397365781546, + -0.01699875408926593, + -0.019037253754671312, + -0.021103195474406027, + -0.023165458996183916, + -0.02519129242776464, + -0.027147156727752267, + -0.028999605486161845, + -0.030716177470321442, + -0.03226627893042571, + -0.03362203275846051, + -0.034759072273516545, + -0.03565725865042356, + -0.03630130278772533, + -0.0366812746823936, + -0.036792986087067894, + -0.036638235304694004, + -0.03622490634950653, + -0.03556691828912181, + -0.03468402429137608, + -0.03360146363948909, + -0.03234947365720355, + -0.03096267201011532, + -0.029479323132444873, + -0.027940505487772622, + -0.026389198933385104, + -0.02486931355616809, + -0.023424682930068108, + -0.022098045770320658, + -0.02093004040088456, + -0.019958236296178496, + -0.019216226208343797, + -0.018732801063587226, + -0.0185312279366982, + -0.01862864903613425, + -0.0190356168101101, + -0.019755777084964316, + -0.02078570864814055, + -0.022114923974334403, + -0.023726031955042998, + -0.02559505962241429, + -0.027691926052304576, + -0.02998105798175033, + -0.03242213327183228, + -0.03497093527141839, + -0.03758029846578187, + -0.040201123592023144, + -0.04278343872454093, + -0.0452774817196647, + -0.04763477888633845, + -0.049809194832304046, + -0.051757929120650525, + -0.05344243664316938, + -0.05482925044367463, + -0.05589068806167239, + -0.056605425257416526, + -0.05695892415528407, + -0.05694370632598232, + -0.056559465034310044, + -0.05581301471759775, + -0.05471807963695629, + -0.053294927464613895, + -0.05156985724294435, + -0.04957455458506076, + -0.04734533009980418, + -0.044922259740323774, + -0.04234824802979812, + -0.03966803685620821, + -0.03692718370922607, + -0.034171033828778334, + -0.03144371073366536, + -0.028787149001465895, + -0.026240191994224615, + -0.023837775498715692, + -0.021610216019512386, + -0.019582619784113145, + -0.017774425459387764, + -0.01619909021428773, + -0.01486392517911988, + -0.013770082636012987, + -0.0129126935208205, + -0.012281150116684913, + -0.011859525265345278, + -0.01162711610168361, + -0.011559097311663394, + -0.011627266297373847, + -0.011800860469184344, + -0.01204742522644936, + -0.012333710074500537, + -0.012626569782873203, + -0.012893847529589029, + -0.013105217596044647, + -0.013232966359338665, + -0.013252692042387047, + -0.013143905882376895, + -0.012890520008335463, + -0.012481210311526108, + -0.011909645871715625, + -0.011174579984733087, + -0.010279801433816328, + -0.009233948267936214, + -0.008050189903031711, + -0.006745786757133457, + -0.00534153978201846, + -0.003861145082837763, + -0.0023304712518117895, + -0.0007767790212759219, + 0.0007720956847245219, + 0.0022885732895011218, + 0.0037461543167869988, + 0.005120213190093859, + 0.0063887406890907545, + 0.007533015001932581, + 0.008538183156859436, + 0.009393736930391403, + 0.010093870054622407, + 0.010637706613641048, + 0.0110293938514872, + 0.011278056127064619, + 0.011397610356226651, + 0.011406446886597959, + 0.01132698326522542, + 0.011185101693699143, + 0.011009484035167974, + 0.010830860964475277, + 0.010681194166721402, + 0.010592812331452123, + 0.010597523011659558, + 0.01072572318410332, + 0.011005531539210564, + 0.011461965138463577, + 0.012116182112779943, + 0.012984810559356838, + 0.014079381763065087, + 0.015405883370969596, + 0.01696444524591003, + 0.018749167488524884, + 0.0207480966263732, + 0.0229433523101271, + 0.02531140312080613, + 0.02782348637143385, + 0.030446163173917323, + 0.03314199662746576, + 0.03587033785389694, + 0.03858820183625532, + 0.04125121268006592, + 0.043814596070463806, + 0.04623419539057193, + 0.04846748723081246, + 0.050474571875237226, + 0.05221911480476844, + 0.05366921629902033, + 0.05479818782420025, + 0.055585216026558616, + 0.05601589775805157, + 0.0560826325805942, + 0.055784862554540744, + 0.05512915273440993, + 0.05412910958248401, + 0.05280513837655101, + 0.051184044537500785, + 0.049298487541787915, + 0.0471862996215804, + 0.04488968470525051, + 0.0424543159331996, + 0.0399283525283092, + 0.03736139874666934, + 0.03480342903497121, + 0.03230370434166883, + 0.029909704749550767, + 0.027666103212229568, + 0.0256138041955741, + 0.0237890694712395, + 0.02222275122110207, + 0.020939650039624995, + 0.019958012428769406, + 0.019289179040135683, + 0.018937391313126196, + 0.018899760374073562, + 0.01916639819178704, + 0.019720707124140598, + 0.020539820232165787, + 0.02159518117400342, + 0.022853249207515806, + 0.02427631190688367, + 0.025823385705671813, + 0.027451182376528757, + 0.02911511809363431, + 0.03077034083265995, + 0.032372751564655834, + 0.03387999500059152, + 0.0352523965331901, + 0.036453823478619495, + 0.03745245070506729, + 0.03822141319778879, + 0.03873933098876481, + 0.03899069510135963, + 0.03896610664575093, + 0.03866236486247592, + 0.03808240365812138, + 0.03723507991599036, + 0.0361348205029234, + 0.034801138341463915, + 0.03325803108928777, + 0.03153327878735266, + 0.02965765923560548, + 0.02766410177202052, + 0.02558680152101231, + 0.023460317007898263, + 0.021318674288112967, + 0.019194500408822066, + 0.01711820811653083, + 0.015117252271629262, + 0.013215476467606594, + 0.011432565929676904, + 0.009783619946965893, + 0.008278853946253124, + 0.006923437923636246, + 0.005717474399494033, + 0.004656115441777936, + 0.0037298147045610104, + 0.0029247069438672092, + 0.0022231041890830353, + 0.0016040947485557791, + 0.0010442285879333289, + 0.0005182704059054134, + 4.874907714072175e-18 + ], + [ + 0, + -0.0009194808539422866, + -0.0019323005173606468, + -0.003077007287958227, + -0.0043877510012463455, + -0.005893174747981604, + -0.007615457718252246, + -0.009569535358028514, + -0.01176251843645417, + -0.014193327473856588, + -0.016852553401534104, + -0.019722549455920176, + -0.022777753300210382, + -0.02598523236814305, + -0.029305439589398838, + -0.03269316113214549, + -0.0360986327260748, + -0.039468796638160504, + -0.042748667578191006, + -0.04588277280947813, + -0.0488166296098166, + -0.051498222024846003, + -0.0538794386133527, + -0.05591743361064421, + -0.057575875616557505, + -0.05882605050964574, + -0.059647788736371034, + -0.06003019134002221, + -0.05997213397549235, + -0.059482533583065655, + -0.058580368233168506, + -0.057294446760255746, + -0.0556629310262615, + -0.053732619837740435, + -0.05155800953195513, + -0.0492001518961643, + -0.046725335249822, + -0.04420361907157298, + -0.04170725637701672, + -0.039309041052177376, + -0.03708061944465443, + -0.035090806654885745, + -0.03340394812271132, + -0.03207836626271103, + -0.03116493008336851, + -0.030705782971896495, + -0.030733260203574964, + -0.03126902332830573, + -0.03232343350379314, + -0.03389518020721117, + -0.03597117570211215, + -0.03852671931185754, + -0.04152592910904244, + -0.044922432229339525, + -0.0486602988141955, + -0.05267519873151231, + -0.05689575486006356, + -0.06124506198325093, + -0.06564233633702725, + -0.07000465769350939, + -0.07424876361361703, + -0.07829285422427631, + -0.08205836559984507, + -0.08547167056045286, + -0.08846566742422321, + -0.09098121992387558, + -0.09296841505583606, + -0.09438760998486839, + -0.095210244173092, + -0.0954193985158971, + -0.09501008931169554, + -0.09398929122019757, + -0.09237568982068772, + -0.09019917081027284, + -0.08750005912582584, + -0.08432812718057457, + -0.0807413968336501, + -0.07680476452701868, + -0.0725884831128687, + -0.06816653715751626, + -0.06361495086747396, + -0.05901006918405682, + -0.05442685300299519, + -0.04993722888764088, + -0.04560853207568503, + -0.04150207907120329, + -0.037671902730665036, + -0.03416367857914711, + -0.03101386623647119, + -0.028249084414122473, + -0.025885732098018602, + -0.023929862405113717, + -0.022377309345758923, + -0.021214061493805655, + -0.02041687051678627, + -0.019954076798436637, + -0.01978662913613423, + -0.01986927084530292, + -0.020151860665087503, + -0.020580793730252466, + -0.021100485628604688, + -0.021654881254388428, + -0.022188949825710458, + -0.022650128063594132, + -0.02298967511294932, + -0.023163905279006372, + -0.023135267991358566, + -0.022873248505423115, + -0.022355067602751983, + -0.021566163835907922, + -0.020500447546103376, + -0.019160321818273172, + -0.017556471578319237, + -0.015707428028169948, + -0.013638921404692578, + -0.011383040492268121, + -0.00897722227874608, + -0.006463099495593101, + -0.0038852374158319775, + -0.0012897941064777016, + 0.0012768597252912285, + 0.00376952413972705, + 0.006145519414660111, + 0.00836596522402731, + 0.010396955060540815, + 0.012210594134700464, + 0.01378587251658567, + 0.015109349549535226, + 0.016175630448201188, + 0.016987621374105335, + 0.017556555023705386, + 0.01790178472185072, + 0.018050351036569365, + 0.01803633086679956, + 0.017899984652386174, + 0.01768672267067677, + 0.01744591618103908, + 0.017229583335124452, + 0.017090983180138346, + 0.017083153656787774, + 0.017257431165803028, + 0.017661990002336418, + 0.01834043971516054, + 0.019330517240658797, + 0.02066290851753602, + 0.02236023125789546, + 0.02443620670703164, + 0.026895043661647394, + 0.029731052846076474, + 0.032928504095730234, + 0.03646173280592946, + 0.04029549592084624, + 0.04438557151495256, + 0.0486795899129099, + 0.05311807845552894, + 0.0576356965951867, + 0.06216263312995114, + 0.066626133184241, + 0.07095211912143948, + 0.07506686701764176, + 0.07889869870161151, + 0.08237964871705616, + 0.08544706590852562, + 0.08804511066608328, + 0.09012611115645117, + 0.09165174506598303, + 0.09259401740750584, + 0.09293600970218861, + 0.09267238122434868, + 0.09180960886128538, + 0.09036595834946123, + 0.0883711860515587, + 0.08586597688007494, + 0.08290113029499534, + 0.07953651235128557, + 0.07583979739854138, + 0.07188502810247643, + 0.06775102684186074, + 0.06351969512764072, + 0.05927424040508006, + 0.055097371368243976, + 0.05106950369543217, + 0.04726701788494586, + 0.04376060963821347, + 0.040613771031685904, + 0.03788143759383022, + 0.03560883243518649, + 0.03383053386471346, + 0.03256978757958668, + 0.03183807866874637, + 0.03163497246548645, + 0.03194822687256929, + 0.032754172321038715, + 0.034018349168451936, + 0.03569638624826202, + 0.03773509859756644, + 0.04007377725317964, + 0.04264563954017655, + 0.04537940459021552, + 0.04820095600732485, + 0.051035051713234296, + 0.0538070400964902, + 0.05644454167913529, + 0.05887905659670624, + 0.061047460232357895, + 0.06289335230101999, + 0.0643682284692933, + 0.06543244812552336, + 0.06605597706835749, + 0.06621888953208241, + 0.06591161997221262, + 0.0651349612456967, + 0.06389981208255038, + 0.062226682904594134, + 0.06014497495006971, + 0.05769205316473871, + 0.05491213828541256, + 0.05185504784915603, + 0.04857481940570189, + 0.04512825190620051, + 0.04157340302389034, + 0.037968080990120286, + 0.034368369384757035, + 0.030827222210059624, + 0.0273931645323681, + 0.024109131050529538, + 0.021011471219844337, + 0.018129145121468026, + 0.015483129233203927, + 0.013086045756747447, + 0.010942023328478552, + 0.009046790933597813, + 0.007388000808831542, + 0.0059457702096082175, + 0.004693426282738468, + 0.003598433067336183, + 0.0026234749764968827, + 0.0017276671077024169, + 0.0008678594917907961, + 8.259359802394451e-18 + ], + [ + 0, + -0.001331118755239276, + -0.002818851917589323, + -0.004514131223117757, + -0.006460877438924418, + -0.00869456276430934, + -0.011241006111185002, + -0.014115434339348119, + -0.01732183562965783, + -0.020852623604023523, + -0.024688622736988648, + -0.02879937725368189, + -0.03314377728443466, + -0.03767098776094239, + -0.04232165760270768, + -0.04702937935732224, + -0.05172236281199549, + -0.0563252803563607, + -0.06076123719512657, + -0.06495381600443946, + -0.0688291433893624, + -0.07231792459147991, + -0.07535739334190654, + -0.0778931255486112, + -0.0798806686068842, + -0.08128694245411021, + -0.08209137394989935, + -0.08228673261680136, + -0.08187964306686892, + -0.08089075738561638, + -0.0793545791510358, + -0.07731893942296157, + -0.07484413373216932, + -0.07200173761269185, + -0.06887312634246114, + -0.06554773208333235, + -0.06212107835294043, + -0.058692637547838246, + -0.05536356192343693, + -0.05223434190180454, + -0.049402447733767854, + -0.04696001132959221, + -0.04499160446908462, + -0.043572167617900844, + -0.04276514025687267, + -0.04262083905310415, + -0.04317512447437068, + -0.044448389709489305, + -0.04644489816943872, + -0.049152487590920696, + -0.0525426500462324, + -0.0565709881929671, + -0.06117803909288586, + -0.06629044811113807, + -0.07182246699038353, + -0.07767774238522238, + -0.08375135413189298, + -0.0899320564882985, + -0.09610467065824359, + -0.10215257323218038, + -0.10796022282535497, + -0.11341566623105621, + -0.11841296585576991, + -0.1228544920539254, + -0.1266530271877883, + -0.12973363272483118, + -0.1320352363413132, + -0.1335119026888341, + -0.13413375903718106, + -0.1338875552474967, + -0.13277684625368413, + -0.13082179422433843, + -0.128058596623199, + -0.12453855526294422, + -0.12032680993923325, + -0.11550076813303396, + -0.11014826938800454, + -0.10436552913396908, + -0.09825491178897632, + -0.09192258680994551, + -0.08547612388463811, + -0.07902208460723877, + -0.07266366773162268, + -0.0664984634603056, + -0.06061636924709272, + -0.05509771534458684, + -0.05001164292200296, + -0.04541477115060596, + -0.04135018236484358, + -0.03784674643914429, + -0.034918797072016346, + -0.03256616395053713, + -0.030774555995858228, + -0.02951628228103841, + -0.028751288978950688, + -0.028428483042937096, + -0.028487306434261065, + -0.02885951875671653, + -0.029471141284863403, + -0.03024451169595826, + -0.031100396424364955, + -0.03196010650647312, + -0.03274756309582383, + -0.033391260490082265, + -0.03382607747790045, + -0.033994892006245295, + -0.03384995947862918, + -0.033354021285311675, + -0.03248111727708227, + -0.031217083643588987, + -0.029559725848511548, + -0.02751866469962298, + -0.0251148620787606, + -0.022379841111559235, + -0.01935462341118732, + -0.016088413286292968, + -0.012637065278205383, + -0.00906137692324242, + -0.00542525308376659, + -0.0017937914447664625, + 0.001768659250264397, + 0.005200415998820792, + 0.008444301838711267, + 0.011449360124901227, + 0.01417239654698592, + 0.016579307124727462, + 0.018646155969031592, + 0.020359973080893514, + 0.021719249717184943, + 0.02273411669613389, + 0.023426199248515977, + 0.023828150434513615, + 0.02398287352776038, + 0.023942451904750993, + 0.023766812662936357, + 0.023522157228976978, + 0.023279198430297503, + 0.02311124872935317, + 0.023092208426448955, + 0.023294505517051336, + 0.023787040467408097, + 0.024633189404584636, + 0.025888918094058546, + 0.027601056624042126, + 0.02980578098837699, + 0.032527342848801474, + 0.03577708278207085, + 0.03955275542409803, + 0.04383818728154049, + 0.048603279779666934, + 0.05380436155691518, + 0.059384885313613876, + 0.06527645589134946, + 0.07140016791551429, + 0.07766822348520722, + 0.08398579323847948, + 0.09025307783690228, + 0.09636752166020165, + 0.10222612641281077, + 0.10772780952451902, + 0.11277575075073533, + 0.11727967028488982, + 0.12115798299275697, + 0.124339776038232, + 0.1267665611308619, + 0.12839375779359194, + 0.1291918703011081, + 0.1291473281243243, + 0.12826296766122072, + 0.1265581415456456, + 0.12406845069687253, + 0.12084510328754884, + 0.11695391374621612, + 0.11247396355447838, + 0.1074959537367689, + 0.10212028637328709, + 0.09645491901200076, + 0.0906130413530668, + 0.0847106278937412, + 0.07886392324770009, + 0.07318691851520612, + 0.06778887733848384, + 0.0627719691232404, + 0.05822906437023502, + 0.05424174320173581, + 0.050878563080647206, + 0.04819362552899604, + 0.04622547450840501, + 0.04499635120238971, + 0.04451182143208542, + 0.04476078305080786, + 0.04571585161526278, + 0.04733411364261429, + 0.04955822805170634, + 0.05231784816519222, + 0.05553132911661507, + 0.05910767884489754, + 0.0629487052289612, + 0.06695130745244511, + 0.07100985649903295, + 0.07501860783758925, + 0.07887408890475162, + 0.08247740493819308, + 0.08573640902942423, + 0.08856768589008962, + 0.09089830366737832, + 0.0926672940798207, + 0.09382682802503932, + 0.09434306146364842, + 0.09419663461740216, + 0.09338281612993748, + 0.09191129261120372, + 0.08980561270457055, + 0.08710230326315505, + 0.08384968319078945, + 0.08010640779730797, + 0.07593978295869284, + 0.0714238938029213, + 0.0666375969304145, + 0.06166242822084376, + 0.05658048000394007, + 0.05147230174213495, + 0.04641487738243112, + 0.04147973021295975, + 0.036731202468474104, + 0.032224952162452185, + 0.028006703804569308, + 0.024111282940259885, + 0.02056195699542632, + 0.017370096913624757, + 0.014535165738115738, + 0.012045031828029105, + 0.009876596020525883, + 0.007996713970726158, + 0.006363387322099273, + 0.004927190472919882, + 0.0036328936826194717, + 0.002421238256833929, + 0.0012308156873652805, + 1.1843493770707045e-17 + ], + [ + 0, + -0.0017795082776352583, + -0.0037919830178885163, + -0.006098430351491503, + -0.008749822667969984, + -0.011785412535744987, + -0.015231370865667122, + -0.01909978687479277, + -0.023388058016744134, + -0.028078687918686857, + -0.03313949975914084, + -0.038524261704095335, + -0.0441737102653433, + -0.05001694702735373, + -0.055973174371964945, + -0.061953726863489274, + -0.06786434706917994, + -0.07360764798330309, + -0.07908569906725794, + -0.08420266934708216, + -0.08886745911747282, + -0.09299625164038247, + -0.09651491780520972, + -0.09936121000189221, + -0.10148668637032036, + -0.10285831301101336, + -0.10345969951649496, + -0.1032919321196906, + -0.1023739786348819, + -0.1007426499442328, + -0.09845211379661654, + -0.09557296786190822, + -0.09219089004489857, + -0.08840489473257522, + -0.08432523365987639, + -0.08007098918105421, + -0.07576741569741909, + -0.07154309161611519, + -0.06752694933015574, + -0.06384525418562159, + -0.060618605146491804, + -0.057959029832394086, + -0.05596724478495662, + -0.054730148253791085, + -0.05431860756599576, + -0.054785596377187204, + -0.05616472895936471, + -0.058469229357547864, + -0.06169136296866743, + -0.06580234711210786, + -0.07075274573881152, + -0.07647334184336782, + -0.08287646968375832, + -0.08985777785650721, + -0.09729838389144245, + -0.10506737157445498, + -0.1130245739103704, + -0.12102357770496514, + -0.12891488034562892, + -0.13654912562712057, + -0.14378034349445634, + -0.15046911840835248, + -0.15648561268471037, + -0.16171237457889284, + -0.16604686599510998, + -0.16940365137679392, + -0.17171619741285193, + -0.17293824248016204, + -0.17304470500827868, + -0.17203211094772902, + -0.16991853198050585, + -0.16674303775124302, + -0.16256467693669382, + -0.15746101312882194, + -0.15152625201199937, + -0.14486900591268081, + -0.13760975025827016, + -0.12987803359669256, + -0.12180950842869602, + -0.11354285405777823, + -0.10521666487520312, + -0.09696637792006457, + -0.08892131218108065, + -0.08120188897626476, + -0.07391709794045025, + -0.06716226679162506, + -0.061017185295886935, + -0.05554462490235104, + -0.050789285597377366, + -0.046777190879470576, + -0.043515540646981155, + -0.04099302049590221, + -0.03918055472426539, + -0.03803247950949878, + -0.037488102532483594, + -0.037473606017336986, + -0.03790424196697422, + -0.03868676150085451, + -0.03972201480943659, + -0.040907654458985636, + -0.04214087269932716, + -0.04332110309223144, + -0.044352618192031436, + -0.0451469581318653, + -0.04562512971511805, + -0.045719521858298, + -0.045375490817568774, + -0.044552577362106056, + -0.04322532771068469, + -0.04138370037807123, + -0.039033051822946585, + -0.036193704677318535, + -0.03290011309357571, + -0.029199650098102447, + -0.02515105152878791, + -0.020822559913916926, + -0.016289819301026857, + -0.011633578374144488, + -0.006937264047617264, + -0.0022844909731002563, + 0.002243426037855558, + 0.006569889828340291, + 0.010625303971949877, + 0.014349159673939318, + 0.017691870179640013, + 0.02061630293857792, + 0.02309896762130893, + 0.02513082701801017, + 0.026717707637283827, + 0.027880297222658654, + 0.028653727149645994, + 0.029086748485711075, + 0.029240521114847737, + 0.029187045478083314, + 0.029007275903156767, + 0.028788962950844627, + 0.02862427947594249, + 0.028607291001265, + 0.02883133538081445, + 0.029386379469142465, + 0.030356421544432854, + 0.031817007522291364, + 0.03383292655858617, + 0.03645614752920811, + 0.03972405219057283, + 0.04365801370491627, + 0.0482623608329923, + 0.05352375865961572, + 0.059411026457408075, + 0.06587540246490357, + 0.07285125422550148, + 0.0802572219802656, + 0.08799777170824939, + 0.09596512403504885, + 0.10404151564349545, + 0.11210174126056002, + 0.12001591697761442, + 0.1276523997726436, + 0.13488079379344048, + 0.14157497134194466, + 0.14761603564189923, + 0.15289515340160734, + 0.15731618788340282, + 0.1607980676003505, + 0.16327683177517535, + 0.1647073011732514, + 0.1650643316810413, + 0.16434361783216306, + 0.16256202414702733, + 0.1597574333895839, + 0.15598811238248234, + 0.15133160757847242, + 0.14588319387882634, + 0.13975391094280648, + 0.13306823118247396, + 0.12596141254055776, + 0.11857659678733846, + 0.11106172025788184, + 0.10356630853146219, + 0.09623822941764788, + 0.08922047968750431, + 0.08264808024651302, + 0.07664515190551, + 0.07132223962859292, + 0.06677394722639876, + 0.06307693706336943, + 0.060288340638837985, + 0.05844461609636373, + 0.05756087805273932, + 0.05763071387747178, + 0.058626488969719656, + 0.060500131954791175, + 0.06318437933930586, + 0.06659444829971783, + 0.0706300961968409, + 0.0751780163535675, + 0.08011451182291765, + 0.08530838249686093, + 0.09062395611552294, + 0.09592419064477187, + 0.10107377416921742, + 0.10594214892515641, + 0.1104063883574991, + 0.11435386006593823, + 0.11768461310607718, + 0.12031343518868208, + 0.12217153369636578, + 0.12320780390187168, + 0.12338965808932843, + 0.12270340019243733, + 0.12115414180049636, + 0.11876526666594113, + 0.11557746189671722, + 0.11164734456069773, + 0.10704572220809407, + 0.10185553459152076, + 0.09616953141770875, + 0.09008774711622196, + 0.08371483821063429, + 0.07715735181711454, + 0.07052099500644171, + 0.06390797422360163, + 0.05741447168347078, + 0.05112832171411511, + 0.04512694450492547, + 0.03947558777819752, + 0.034225918718124616, + 0.029414999269713134, + 0.025064667896594246, + 0.02118134031553789, + 0.017756230874455863, + 0.014765985384159902, + 0.012173705626256349, + 0.009930335707277428, + 0.007976371165696713, + 0.006243843496931404, + 0.004658525748938175, + 0.003142299233609369, + 0.0016156173374009919, + 1.570303227356682e-17 + ], + [ + 0, + -0.0022717152884260297, + -0.004864328837486415, + -0.007846276850564568, + -0.011272590953689514, + -0.015183053212144663, + -0.019600774398524545, + -0.024531234954048443, + -0.029961816059715842, + -0.03586183548855801, + -0.04218308976762697, + -0.04886089097151762, + -0.05581557353307899, + -0.06295443411996181, + -0.07017405620145947, + -0.07736296070979283, + -0.08440451544472, + -0.09118002880477641, + -0.09757194823508232, + -0.10346708059625155, + -0.10875975056704927, + -0.11335481422823648, + -0.11717044811636775, + -0.12014063921120097, + -0.12221730840475001, + -0.12337200882173578, + -0.12359715070429489, + -0.12290671618382897, + -0.1213364398531453, + -0.1189434443107672, + -0.11580533344733276, + -0.11201875984297902, + -0.10769749590538519, + -0.10297005096920485, + -0.09797688818334147, + -0.092867305341078, + -0.08779605259867063, + -0.08291976705744364, + -0.0783933092726716, + -0.07436608976723996, + -0.07097847448801511, + -0.06835835681987393, + -0.06661798029226061, + -0.06585109055510456, + -0.06613048769557835, + -0.06750604069343803, + -0.07000321499345286, + -0.07362215207008954, + -0.07833732676562707, + -0.08409779441659751, + -0.0908280256802669, + -0.09842931287697482, + -0.10678171792004106, + -0.11574651884893829, + -0.12516909993335235, + -0.13488221957109353, + -0.14470958102535378, + -0.15446962366217276, + -0.16397944693901728, + -0.17305877609369857, + -0.18153387737147506, + -0.18924133173554092, + -0.19603157930628076, + -0.20177215218808087, + -0.2063505207378117, + -0.20967648752643048, + -0.21168407402061207, + -0.21233285710230615, + -0.21160872565603042, + -0.20952404126701116, + -0.2061172012514605, + -0.20145161643811577, + -0.19561412999221048, + -0.18871291678213406, + -0.18087491501459882, + -0.17224285280999493, + -0.16297194179140584, + -0.15322631739222997, + -0.14317531126607247, + -0.13298964477424488, + -0.12283763394803839, + -0.11288149554554314, + -0.103273840870892, + -0.09415443897560269, + -0.08564732384674106, + -0.07785831138274722, + -0.07087298158638927, + -0.06475516972517308, + -0.05954599751398659, + -0.0552634619786638, + -0.05190258589500705, + -0.04943611990639706, + -0.04781577294523906, + -0.04697393475130529, + -0.04682584240902641, + -0.04727213220683889, + -0.04820170901399578, + -0.04949485799483828, + -0.05102651801491629, + -0.05266963266713561, + -0.05429849353787253, + -0.05579199116835265, + -0.05703669211771267, + -0.05792966552046268, + -0.058380989421371335, + -0.05831587578658604, + -0.05767636320981724, + -0.05642253769817518, + -0.0545332542445443, + -0.052006344859600095, + -0.048858312018425235, + -0.045123519738551235, + -0.04085290741345913, + -0.0361122637528717, + -0.030980109420772894, + -0.025545246931418786, + -0.019904044812333533, + -0.01415752975954884, + -0.008408365326099091, + -0.0027577984799032227, + 0.0026973439275058855, + 0.00786752814088548, + 0.01267317875996293, + 0.017047064558690782, + 0.020936340440931057, + 0.024304190059834974, + 0.027131024010124516, + 0.029415200052017126, + 0.031173244250218366, + 0.03243956489656896, + 0.03326566430162226, + 0.0337188666535917, + 0.033880592820011816, + 0.03384422488605797, + 0.03371261408040225, + 0.033595295257808376, + 0.033605479043672, + 0.03385689889520174, + 0.03446059453724129, + 0.035521715376858956, + 0.03713642753022925, + 0.039389006001452134, + 0.04234918938250495, + 0.04606986829532395, + 0.0505851708196274, + 0.055908998538174305, + 0.0620340558206512, + 0.0689314028296849, + 0.07655054976778745, + 0.08482009641376621, + 0.09364890735613944, + 0.10292779985913093, + 0.11253170833033219, + 0.12232227722260912, + 0.1321508232010594, + 0.14186159781588004, + 0.15129527398674475, + 0.16029257352586498, + 0.16869794886208808, + 0.17636323018423364, + 0.18315114945330685, + 0.18893865514139244, + 0.19361993608732272, + 0.19710907941040653, + 0.1993422958383263, + 0.20027965588227345, + 0.19990629178857283, + 0.19823303283318963, + 0.1952964549967544, + 0.19115834003521073, + 0.18590455310402318, + 0.17964336205670828, + 0.17250323497976838, + 0.16463016511684622, + 0.1561845837664816, + 0.14733793172968987, + 0.1382689681903059, + 0.12915990232817848, + 0.12019243733475465, + 0.111543818714091, + 0.10338297875459396, + 0.09586686684645007, + 0.08913705094973232, + 0.08331666909434574, + 0.07850780147133218, + 0.07478932365820007, + 0.0722152900527821, + 0.07081388395018998, + 0.07058695719369135, + 0.07151016829185851, + 0.07353371366302802, + 0.07658363259037447, + 0.08056365288909899, + 0.0853575315312498, + 0.09083183285284549, + 0.09683907676340603, + 0.10322118083575954, + 0.10981311347907702, + 0.11644667074932442, + 0.12295428683758218, + 0.12917278795423787, + 0.13494700119822228, + 0.14013313401361877, + 0.14460184588689873, + 0.14824094187259554, + 0.1509576271531209, + 0.15268027289833996, + 0.1533596559160514, + 0.1529696476711064, + 0.15150734187334217, + 0.14899262365513902, + 0.1454671970363548, + 0.14099310057014258, + 0.1356507534528763, + 0.12953658566097045, + 0.12276031557089703, + 0.11544194678533161, + 0.10770856232819012, + 0.09969099883033448, + 0.09152048570154044, + 0.08332533452064382, + 0.0752277619757814, + 0.06734092570465812, + 0.059766246427064906, + 0.05259108198373899, + 0.045886809497671995, + 0.039707361096709505, + 0.034088246754495025, + 0.02904608512233683, + 0.02457865005886791, + 0.02066542725044639, + 0.01726866218927888, + 0.01433486816927096, + 0.011796751189099421, + 0.0095754980140865, + 0.007583364410422866, + 0.0057264929589410825, + 0.003907884071547187, + 0.00203044001610897, + 1.9909610495908637e-17 + ], + [ + 0, + -0.002814131211462, + -0.006046959441789297, + -0.009771412689605427, + -0.014043364376366036, + -0.0188997263487706, + -0.0243570696624536, + -0.030410811732227917, + -0.037034993696330454, + -0.04418265647222115, + -0.05178680836903932, + -0.05976196166272376, + -0.06800620062641556, + -0.07640372952005592, + -0.08482783633515979, + -0.09314419698784641, + -0.10121443543963765, + -0.1088998481384546, + -0.11606519639570854, + -0.12258246797568662, + -0.1283345093358707, + -0.13321843262401825, + -0.1371487066495535, + -0.14005984848146208, + -0.14190864190238733, + -0.14267582043493884, + -0.14236716576901182, + -0.14101398683460864, + -0.13867296012640282, + -0.13542532781284036, + -0.13137546625775104, + -0.12664885344493307, + -0.12138947902958805, + -0.11575675496315382, + -0.10992199749262593, + -0.10406456249768002, + -0.09836772531590919, + -0.09301440318372432, + -0.08818282300774172, + -0.08404223925730926, + -0.08074880627378136, + -0.07844170623019517, + -0.07723962841363476, + -0.07723768757117422, + -0.07850485894704001, + -0.08108199558590981, + -0.08498047977574083, + -0.0901815454850328, + -0.09663629267883826, + -0.1042663978640395, + -0.112965508520802, + -0.12260129263161314, + -0.13301809872432754, + -0.1440401670881374, + -0.15547531946333054, + -0.16711904287515783, + -0.1787588736650761, + -0.19017898040600056, + -0.20116483945390037, + -0.21150789450857183, + -0.22101009179166814, + -0.22948818529598486, + -0.23677771194859978, + -0.24273654433146744, + -0.24724793862714875, + -0.2502230074607007, + -0.2516025609992252, + -0.25135827471468924, + -0.24949315824695978, + -0.24604131643205465, + -0.2410670103805421, + -0.2346630430935126, + -0.2269485100849577, + -0.2180659704515963, + -0.20817810743123893, + -0.19746395938966327, + -0.18611481208685868, + -0.1743298507585992, + -0.16231167582582345, + -0.15026178878879562, + -0.13837615501442196, + -0.1268409476861484, + -0.11582857222293912, + -0.10549406311531954, + -0.09597193555937067, + -0.08737356273500656, + -0.07978513636185156, + -0.0732662536044686, + -0.0678491578509417, + -0.06353864474088655, + -0.060312628470836384, + -0.05812334726061547, + -0.056899171321898964, + -0.05654696211190256, + -0.05695491843810453, + -0.057995833427016176, + -0.05953067676222159, + -0.06141240916618262, + -0.06348993102401969, + -0.065612064444027, + -0.0676314679756804, + -0.06940838565479769, + -0.07081413694794704, + -0.0717342613936927, + -0.07207124109868575, + -0.07174673550080865, + -0.07070327567161079, + -0.06890537956852315, + -0.06634006470481096, + -0.063016750300552, + -0.05896655671685364, + -0.05424102546088176, + -0.048910297890783806, + -0.0430608045737497, + -0.03679252970975449, + -0.030215925815192845, + -0.023448562694407645, + -0.01661160139201064, + -0.009826188148685156, + -0.003209865270500376, + 0.0031269047791164196, + 0.009084008827777169, + 0.01457465821025317, + 0.01952798969671582, + 0.023891221851119762, + 0.02763130811996954, + 0.030736041048935212, + 0.033214576305170794, + 0.035097360284972866, + 0.036435460626915626, + 0.03729931453588614, + 0.03777692505813948, + 0.037971549944709415, + 0.03799894113158251, + 0.037984204808683225, + 0.0380583622407333, + 0.038354699679840086, + 0.039005001661000696, + 0.040135765541880565, + 0.04186449624115165, + 0.044296178711280075, + 0.04752002178081526, + 0.05160656070914553, + 0.056605197264647925, + 0.0625422455728641, + 0.06941953964378171, + 0.0772136446803816, + 0.0858756993355802, + 0.09533190039178775, + 0.10548462527639146, + 0.11621417179761787, + 0.12738107888844885, + 0.13882897737189384, + 0.15038790617954273, + 0.16187801740890156, + 0.1731135833979406, + 0.18390721088720516, + 0.19407416153867482, + 0.2034366747377281, + 0.21182818781073393, + 0.21909735057385613, + 0.22511173545273214, + 0.22976115117907578, + 0.23296047711968393, + 0.23465194640983872, + 0.23480681897938868, + 0.2334263999636058, + 0.23054237453285853, + 0.22621644647714936, + 0.22053928454629068, + 0.21362879716698735, + 0.20562777232799395, + 0.19670093474785263, + 0.1870314865408912, + 0.17681721013011464, + 0.16626622281230113, + 0.15559248089886615, + 0.14501113752568043, + 0.13473386189349318, + 0.12496422877629146, + 0.11589328558992701, + 0.10769540018369335, + 0.1005244859027419, + 0.09451069152958942, + 0.08975763266565218, + 0.08634022822765398, + 0.08430319132257216, + 0.08366020817962988, + 0.08439382243827427, + 0.0864560253160482, + 0.08976953541808032, + 0.09422973560833058, + 0.0997072188388351, + 0.10605088050369324, + 0.11309148209648065, + 0.12064560001202701, + 0.1285198645091611, + 0.13651538735106808, + 0.14443227261788533, + 0.15207410373461974, + 0.1592523009056593, + 0.16579024686038907, + 0.17152708499502234, + 0.1763211024855017, + 0.1800526215305222, + 0.18262633429643574, + 0.18397303106661678, + 0.18405068619958606, + 0.18284488239744526, + 0.1803685700847409, + 0.17666117499453915, + 0.1717870829509211, + 0.1658335459339216, + 0.1589080674433367, + 0.15113533760075898, + 0.14265379904179518, + 0.13361193319544132, + 0.12416436281970915, + 0.11446787051349719, + 0.10467743426662768, + 0.0949423799177775, + 0.08540274670186955, + 0.07618595598454596, + 0.06740386496148243, + 0.05915027675979012, + 0.05149896628303376, + 0.044502267599160844, + 0.038190254026318815, + 0.032570526696467705, + 0.027628611659890775, + 0.023328949932150612, + 0.019616449673657752, + 0.016418555313937922, + 0.013647775249507882, + 0.011204598087193741, + 0.008980717566169416, + 0.006862478518343778, + 0.0047344507122158595, + 0.002483034307151607, + 2.452969694319076e-17 + ], + [ + 0, + -0.003412374198040712, + -0.00734920578440078, + -0.011884728176546585, + -0.017072265692244012, + -0.02294236719283786, + -0.029501575313043624, + -0.03673186616373281, + -0.04459077692711606, + -0.053012220825999906, + -0.06190797099527141, + -0.07116977727001492, + -0.08067206327554188, + -0.09027513588310479, + -0.09982882547167829, + -0.1091764638591377, + -0.11815909753262568, + -0.12661982715651005, + -0.13440816044118514, + -0.14138426442215526, + -0.14742300505978442, + -0.15241766678661772, + -0.15628325209039914, + -0.15895927124692377, + -0.1604119446631567, + -0.16063575465452878, + -0.15965429950677298, + -0.15752041996556368, + -0.15431558642752113, + -0.15014855362295262, + -0.145153308022481, + -0.13948635110573618, + -0.13332337855214993, + -0.12685543092665474, + -0.12028460514588028, + -0.11381942757625639, + -0.10766999873979706, + -0.10204302605167498, + -0.09713686461735124, + -0.0931366867773291, + -0.09020989877872256, + -0.08850191772221536, + -0.08813241390052437, + -0.08919211299949954, + -0.09174023962973184, + -0.09580266860793006, + -0.10137083367733188, + -0.10840142535109705, + -0.11681689072019141, + -0.1265067288472348, + -0.13732955623971846, + -0.14911589832790406, + -0.16167164531951225, + -0.17478209469559117, + -0.18821648834534727, + -0.20173294026316502, + -0.21508364114598982, + -0.22802021937048222, + -0.24029913386693755, + -0.25168697344016877, + -0.26196553914228493, + -0.2709365913304931, + -0.2784261509238069, + -0.2842882549150783, + -0.288408079143135, + -0.29070435636910136, + -0.2911310344652452, + -0.28967813760570416, + -0.28637181230597664, + -0.2812735595305597, + -0.2744786734041487, + -0.26611392585161237, + -0.2563345542990497, + -0.2453206259605421, + -0.23327286681584317, + -0.22040805580101908, + -0.2069540946883707, + -0.19314487138590597, + -0.17921503876891332, + -0.16539483256622592, + -0.151905050234137, + -0.13895230820793358, + -0.12672468754346128, + -0.11538786793735047, + -0.10508183769756287, + -0.09591825273730674, + -0.08797850144722248, + -0.08131251476694601, + -0.07593834236307444, + -0.07184249698243063, + -0.06898105025305584, + -0.06728144491415132, + -0.06664497112037773, + -0.06694983851089378, + -0.06805476154954378, + -0.06980296357511924, + -0.0720264953417731, + -0.0745507568111089, + -0.07719910674474594, + -0.07979744333462968, + -0.08217864072100167, + -0.08418673073480874, + -0.08568072644100223, + -0.08653799386175264, + -0.08665709037068632, + -0.08596000236018327, + -0.08439373053361451, + -0.08193118816285457, + -0.07857139544791557, + -0.07433897127010651, + -0.0692829416844343, + -0.0634749019960619, + -0.057006585769081304, + -0.049986909208901587, + -0.04253857266335233, + -0.03479431216877019, + -0.02689290274621949, + -0.018975021310600804, + -0.011179080438930959, + -0.00363714477063038, + 0.0035289605286691686, + 0.010211244956133106, + 0.01631875505228445, + 0.021780297809419123, + 0.026546611455237228, + 0.03059192436611833, + 0.03391485880224908, + 0.03653865322134075, + 0.038510694686460206, + 0.03990137088629878, + 0.04080226907640019, + 0.04132376637582197, + 0.04159207188011696, + 0.04174579557039392, + 0.04193213163897527, + 0.042302754291154473, + 0.0430095320509543, + 0.044200171889629936, + 0.04601390696887155, + 0.04857734137677188, + 0.05200056193650887, + 0.05637362106060491, + 0.06176348585339956, + 0.0682115374438819, + 0.07573169113491109, + 0.08430919271279719, + 0.09390012954975425, + 0.104431677364924, + 0.11580308512889212, + 0.12788738205944689, + 0.1405337724254227, + 0.15357066640671768, + 0.1668092789901244, + 0.18004771422153393, + 0.19307543945558267, + 0.20567804386553437, + 0.21764216766461503, + 0.22876048344727476, + 0.23883660891914882, + 0.24768983111018134, + 0.25515952594571933, + 0.26110916370139564, + 0.26542980023427587, + 0.26804296574255676, + 0.26890287687461006, + 0.2679979139459069, + 0.2653513224430992, + 0.2610211164748712, + 0.25509918091881717, + 0.24770958824663067, + 0.23900616491597626, + 0.22916936033377977, + 0.21840248827808234, + 0.2069274258997269, + 0.19497986863655023, + 0.18280425023615962, + 0.17064844533095297, + 0.158758377436592, + 0.14737265771773655, + 0.13671737931953393, + 0.12700118851141026, + 0.1184107474157317, + 0.1111066938542989, + 0.10522019206445737, + 0.10085015400008235, + 0.09806119498242334, + 0.09688236998995252, + 0.09730671830056896, + 0.09929162497599331, + 0.10275998827492262, + 0.1076021629705219, + 0.11367863119368514, + 0.120823335271833, + 0.1288475914995974, + 0.13754449023827262, + 0.14669367652176807, + 0.15606639671705302, + 0.16543069095199836, + 0.17455660811940654, + 0.18322132035707972, + 0.1912140169805404, + 0.198340463824661, + 0.20442712267892824, + 0.20932473675695867, + 0.21291130164107003, + 0.21509435654925751, + 0.21581254770066474, + 0.21503643358563893, + 0.2127685206305324, + 0.20904253662312414, + 0.20392196786582414, + 0.1974979038923709, + 0.18988625028043396, + 0.1812243852082943, + 0.17166734856959737, + 0.16138366335628432, + 0.15055089738351438, + 0.13935107906246202, + 0.12796608369647486, + 0.11657310662389864, + 0.10534033647038418, + 0.09442293589074122, + 0.08395942863147406, + 0.07406858075244531, + 0.06484685069252168, + 0.05636646788598953, + 0.04867418321523207, + 0.041790717137419726, + 0.03571091329043527, + 0.03040458722149579, + 0.02581804204904054, + 0.021876205813500672, + 0.01848532942452596, + 0.015536169869117537, + 0.012907571064156657, + 0.010470344725506169, + 0.008091346134285053, + 0.005637634895563516, + 0.0029806088238126943, + 2.962357926880646e-17 + ], + [ + 0, + -0.004071200156602024, + -0.00877850791372453, + -0.014194077432343176, + -0.020365174072197022, + -0.027312455455552945, + -0.035028996858900686, + -0.04348008922371422, + -0.052603817926916215, + -0.062312410065221216, + -0.07249431790234866, + -0.0830169868146904, + -0.09373023804035994, + -0.10447018024776367, + -0.11506354980866308, + -0.12533236804905967, + -0.13509879495812488, + -0.1441900530893303, + -0.15244329284116323, + -0.15971027102945312, + -0.16586171864945717, + -0.17079128088165743, + -0.17441892254922986, + -0.17669370514038585, + -0.17759585684888174, + -0.17713807448295965, + -0.17536601511658798, + -0.17235795553530153, + -0.16822361836049993, + -0.16310218470164212, + -0.15715953376177685, + -0.1505847694931766, + -0.14358611267280824, + -0.13638625318193745, + -0.12921727141548006, + -0.12231524925549105, + -0.11591469962470509, + -0.11024294906753682, + -0.10551460994237019, + -0.10192627758644127, + -0.09965158325250147, + -0.09883672581662771, + -0.09959659440127677, + -0.1020115804050669, + -0.10612516130851546, + -0.11194232042236392, + -0.11942884690351611, + -0.12851153936553297, + -0.13907931476794894, + -0.15098520250998235, + -0.16404918231181276, + -0.17806180406335292, + -0.19278850885688995, + -0.20797455336194648, + -0.22335042496784618, + -0.23863762307483696, + -0.25355467285567274, + -0.26782323196088115, + -0.28117414814856356, + -0.29335332674740733, + -0.3041272711897879, + -0.31328816747726496, + -0.3206583941795201, + -0.32609435315963403, + -0.329489532333527, + -0.33077673001747904, + -0.32992939035100327, + -0.3269620204177186, + -0.3219296815098387, + -0.3149265689613856, + -0.3060837165766425, + -0.29556588237866804, + -0.2835676916954581, + -0.27030913102087856, + -0.25603050121263476, + -0.24098695105560963, + -0.22544272172703197, + -0.20966523902403153, + -0.19391919320662612, + -0.17846074590443717, + -0.1635319997513485, + -0.14935585934980491, + -0.1361314020067695, + -0.12402986368369803, + -0.11319133008973487, + -0.10372220520854164, + -0.09569351022404915, + -0.08914004527911247, + -0.0840604252722905, + -0.08041797949671778, + -0.0781424838793479, + -0.07713267440677009, + -0.07725947152068931, + -0.07836982829228559, + -0.08029110045398073, + -0.0828358242370082, + -0.08580677872564312, + -0.08900220331352826, + -0.0922210379759565, + -0.09526805451467862, + -0.09795875066667802, + -0.10012388589125186, + -0.10161354757736751, + -0.10230064908768587, + -0.10208377615098382, + -0.10088931524518824, + -0.09867281634303678, + -0.09541956224647391, + -0.09114433721196573, + -0.0858904081500134, + -0.07972775184946818, + -0.07275058092328876, + -0.06507423901341411, + -0.056831551780767146, + -0.04816873394142863, + -0.03924096374823577, + -0.030207744580650765, + -0.021228178489429185, + -0.01245627851884298, + -0.004036445351209873, + 0.003900770678540856, + 0.011242508750292361, + 0.017896934968324604, + 0.023795988222130162, + 0.02889746016310146, + 0.03318635233172468, + 0.03667547231380754, + 0.03940525064427212, + 0.04144278051011249, + 0.042880102614483835, + 0.043831777336093926, + 0.04443180504978449, + 0.0448299726888631, + 0.04518771988859879, + 0.04567363096321456, + 0.04645866920425409, + 0.0477112772817207, + 0.049592471689941124, + 0.05225106009511078, + 0.05581910807975217, + 0.060407776191866366, + 0.06610363952542468, + 0.07296559049389384, + 0.08102241129227741, + 0.09027108612392055, + 0.10067590500145467, + 0.11216839126917344, + 0.1246480644250819, + 0.13798402885689823, + 0.15201735827031268, + 0.16656422540089122, + 0.18141970756901277, + 0.19636218123862853, + 0.21115820341411676, + 0.22556776484349783, + 0.2393497899186696, + 0.25226775113382366, + 0.26409526216617113, + 0.2746215131834696, + 0.28365641488283244, + 0.2910353239642115, + 0.2966232320972079, + 0.30031831273068144, + 0.3020547350271744, + 0.3018046714188246, + 0.29957944436165396, + 0.2954297783474855, + 0.2894451446185527, + 0.28175220779724597, + 0.2725124052603583, + 0.26191871102433933, + 0.25019165565227286, + 0.23757469175976215, + 0.2243290106415894, + 0.2107279289713677, + 0.19705097511103653, + 0.1835778120442767, + 0.1705821381316894, + 0.15832570767077053, + 0.1470526106080312, + 0.13698394475591985, + 0.1283130046573089, + 0.1212010990380529, + 0.11577409388952846, + 0.11211976099015035, + 0.11028599252691827, + 0.11027992188099897, + 0.1120679690966437, + 0.11557680758468653, + 0.12069522675499882, + 0.12727684405799056, + 0.13514359985891528, + 0.14408995015686124, + 0.15388765583873135, + 0.16429105332134658, + 0.17504268041484908, + 0.18587912330109221, + 0.19653694584913387, + 0.20675856119317926, + 0.21629790760028084, + 0.22492579609622065, + 0.2324348059567211, + 0.23864361578754664, + 0.2434006722183928, + 0.2465871148634794, + 0.24811889474153445, + 0.247948043338244, + 0.24606307043927447, + 0.2424884902431816, + 0.23728349655275252, + 0.23053982851592647, + 0.22237888793511007, + 0.21294818710716298, + 0.2024172220571183, + 0.1909728794999545, + 0.17881449658075463, + 0.16614870014782843, + 0.15318415682461856, + 0.1401263663631038, + 0.12717262866477377, + 0.11450730950834248, + 0.10229752157047478, + 0.09068932598814615, + 0.07980454578175435, + 0.06973826629362642, + 0.06055707980929371, + 0.052298112175615724, + 0.04496884900079053, + 0.038547758427708315, + 0.032985687033476124, + 0.028207985639062155, + 0.024117303211007277, + 0.020596970069233417, + 0.017514876706591322, + 0.014727742050179538, + 0.012085655263254317, + 0.009436768442028355, + 0.006632013970770053, + 0.003529719948798582, + 3.5244428010065886e-17 + ], + [ + 0, + -0.004794424783589081, + -0.010340287508320086, + -0.016704133207188363, + -0.023923596172821453, + -0.032005937630701455, + -0.04092743501888608, + -0.05063364166677987, + -0.061040512940311945, + -0.07203637226631697, + -0.083484668440091, + -0.09522745481622699, + -0.10708950191325016, + -0.11888293811341089, + -0.1304122989409928, + -0.14147985422018058, + -0.1518910745360034, + -0.16146009405552578, + -0.17001502602972876, + -0.17740299021682968, + -0.1834947179807671, + -0.1881886107695688, + -0.19141414082615477, + -0.19313449900703109, + -0.1933484130878663, + -0.1920910804617752, + -0.18943418117735294, + -0.18548496027124273, + -0.1803843917511004, + -0.17430445979495424, + -0.16744461517134016, + -0.1600274859883373, + -0.15229394111782374, + -0.1444976215282357, + -0.1368990688665527, + -0.1297595915979299, + -0.12333501655636465, + -0.11786947768326626, + -0.11358939392347471, + -0.11069778469300133, + -0.10936906410519759, + -0.1097444444088826, + -0.11192806510690977, + -0.1159839473213348, + -0.12193385355910057, + -0.12975611158003164, + -0.13938543809820494, + -0.15071377411807288, + -0.16359211940230695, + -0.17783332948365285, + -0.1932158153581669, + -0.2094880641029574, + -0.22637387868596212, + -0.24357821766967228, + -0.2607935007881194, + -0.2777062348603717, + -0.29400380647967794, + -0.30938128358520395, + -0.32354806749267867, + -0.3362342402478392, + -0.34719645919528414, + -0.35622326125673726, + -0.36313965333048426, + -0.36781088212055013, + -0.37014529616957, + -0.3700962344300039, + -0.36766289883980713, + -0.3628901925080142, + -0.35586752967555174, + -0.3467266479995472, + -0.3356384773226891, + -0.32280914135929206, + -0.3084751891164408, + -0.292898170878327, + -0.2763586887798117, + -0.25915006401582386, + -0.24157177128932542, + -0.22392279599034837, + -0.20649507071053408, + -0.18956714501281835, + -0.1733982359691317, + -0.158222797015887, + -0.14424572941074906, + -0.13163834433837085, + -0.12053516491370037, + -0.11103163643763016, + -0.10318279079034848, + -0.0970028873598077, + -0.09246602897708983, + -0.08950772755770955, + -0.08802737111341177, + -0.08789152206871292, + -0.08893795692264002, + -0.09098033972452611, + -0.09381340701036629, + -0.0972185301310443, + -0.10096951257568122, + -0.1048384751477142, + -0.10860168079383294, + -0.11204515353045558, + -0.11496995218063724, + -0.11719696935777314, + -0.11857113905703046, + -0.11896495200758439, + -0.11828119619415997, + -0.11645486020992865, + -0.11345415884045898, + -0.10928066294984354, + -0.10396853877276559, + -0.09758292452944017, + -0.09021749429988886, + -0.08199127976653778, + -0.07304483924089925, + -0.06353587985997558, + -0.053634452559131574, + -0.04351785005824917, + -0.03336534537282877, + -0.023352912101766245, + -0.01364806785840763, + -0.0044049787020149535, + 0.004240044614902404, + 0.012172538160767563, + 0.019303257156635726, + 0.025570838402757336, + 0.030943680629283113, + 0.035420991012059894, + 0.03903296784808181, + 0.04184011192900173, + 0.043931681913319746, + 0.04542333140080111, + 0.04645398688739961, + 0.04718204577947618, + 0.04778099166307729, + 0.048434539597588956, + 0.049331436934311586, + 0.050660054721576996, + 0.05260291090039659, + 0.05533126905537022, + 0.058999955391519796, + 0.06374253187736513, + 0.0696669552377675, + 0.07685183989535949, + 0.08534342832908887, + 0.09515335500175948, + 0.10625727043265132, + 0.11859437064097623, + 0.13206785459112882, + 0.14654630899364623, + 0.16186599643711336, + 0.17783399993022916, + 0.19423215509358313, + 0.21082168100595944, + 0.22734840259008812, + 0.24354844187612984, + 0.25915424290330263, + 0.2739007857335473, + 0.28753183929766296, + 0.2998061007283892, + 0.31050307051996984, + 0.31942851826047963, + 0.32641940269003045, + 0.3313481222341317, + 0.33412598765184787, + 0.33470582665086573, + 0.33308365081610497, + 0.3292993374779154, + 0.3234363026680266, + 0.3156201655025834, + 0.306016428600625, + 0.2948272228991672, + 0.2822871878803553, + 0.26865857922582226, + 0.25422571474216354, + 0.23928888559562125, + 0.22415787305431764, + 0.2091452207370265, + 0.19455941856518214, + 0.18069815705426814, + 0.1678418091985951, + 0.15624729203001758, + 0.14614245108951926, + 0.13772109875386865, + 0.13113882190541878, + 0.12650965619666857, + 0.12390370358559256, + 0.1233457474035341, + 0.12481489550992231, + 0.12824525766419576, + 0.13352763869929624, + 0.14051220500985892, + 0.14901205885670094, + 0.15880763359602512, + 0.16965180368531943, + 0.18127558666396637, + 0.19339430065646093, + 0.2057140306271969, + 0.21793824987325908, + 0.2297744402327166, + 0.24094055527600294, + 0.2511711753088993, + 0.26022321122700554, + 0.2678810259132085, + 0.2739608566672705, + 0.2783144397291305, + 0.28083175786607256, + 0.2814428537432412, + 0.2801186748471761, + 0.2768709395124939, + 0.2717510375249552, + 0.2648480022501505, + 0.25628561368847474, + 0.24621871273312745, + 0.23482882569795205, + 0.22231921442828248, + 0.20890948061686576, + 0.1948298629984611, + 0.18031537265256464, + 0.16559991455282422, + 0.15091054270419707, + 0.1364619917371083, + 0.12245161980551506, + 0.10905488627495284, + 0.09642147328199914, + 0.08467214316825988, + 0.07389640447606584, + 0.06415103813068633, + 0.0554595131588749, + 0.04781229836913677, + 0.04116805342375007, + 0.03545566024545325, + 0.030577034288398725, + 0.026410635401199308, + 0.02281558031615643, + 0.01963624365594069, + 0.0167072221353473, + 0.013858527655459417, + 0.01092086946315735, + 0.0077308836158373325, + 0.004136169694362087, + 4.1437450183561176e-17 + ], + [ + 0, + -0.00558485760713571, + -0.012037846415041468, + -0.019416282982296577, + -0.027744594330894434, + -0.03701322206035251, + -0.04717848145913499, + -0.05816338204561168, + -0.06985939084201497, + -0.08212909500264717, + -0.09480969680886144, + -0.10771725210839476, + -0.12065154357410963, + -0.13340146319003057, + -0.1457507645753375, + -0.15748403548501, + -0.16839273434618052, + -0.1782811321740178, + -0.18697200273278825, + -0.1943119093379841, + -0.20017594610470318, + -0.20447180450887065, + -0.20714305252244708, + -0.20817153290834015, + -0.2075788090380044, + -0.2054266102849856, + -0.20181625406225637, + -0.19688704728707065, + -0.19081369583231517, + -0.1838027757131589, + -0.17608834373056725, + -0.16792678744622572, + -0.1595910341378844, + -0.15136425527926203, + -0.1435332166741207, + -0.1363814343008921, + -0.13018230193335353, + -0.1251923585319715, + -0.12164486118823423, + -0.11974382309149932, + -0.119658665717333, + -0.1215196204488476, + -0.12541399747150875, + -0.13138341944490461, + -0.13942209464375388, + -0.14947617952871584, + -0.16144425465750753, + -0.1751789111141445, + -0.19048941787251994, + -0.20714541437545755, + -0.22488154774296976, + -0.24340295103463722, + -0.26239143844642693, + -0.2815122757282439, + -0.3004213698995865, + -0.31877271186885175, + -0.3362258990877181, + -0.3524535630585498, + -0.3671485284209124, + -0.3800305364306869, + -0.39085237576714166, + -0.3994052775159736, + -0.40552344854318595, + -0.40908763787446306, + -0.410027653631894, + -0.4083237729967547, + -0.4040070139575502, + -0.39715826462698084, + -0.3879062930126211, + -0.3764246866448981, + -0.36292779675812087, + -0.3476657851719106, + -0.3309188930631581, + -0.31299106894363377, + -0.29420310792888693, + -0.2748854654457723, + -0.2553709156161475, + -0.2359872275077956, + -0.21705003119712946, + -0.19885604018149222, + -0.1816767872537914, + -0.16575301774916346, + -0.15128986742515835, + -0.13845293256055688, + -0.12736531764400055, + -0.11810572182440891, + -0.11070759971061499, + -0.10515940577079444, + -0.10140590514319311, + -0.0993505077797092, + -0.09885855813936811, + -0.09976148973522607, + -0.1018617332757052, + -0.1049382494302655, + -0.10875254281833953, + -0.11305500301598635, + -0.11759141145238414, + -0.12210945018668228, + -0.12636504977277926, + -0.13012841869104091, + -0.13318960600687496, + -0.13536346176433134, + -0.13649387580562627, + -0.13645719480924032, + -0.13516473887267927, + -0.13256436238391234, + -0.12864102863477603, + -0.12341639300589052, + -0.11694741495597451, + -0.10932404383943721, + -0.10066604713170724, + -0.09111907137091124, + -0.080850045482853, + -0.07004205265975363, + -0.05888881020015259, + -0.047588906358611, + -0.03633994906106209, + -0.025332783173083646, + -0.014745930822526811, + -0.004740403134418741, + 0.004544978205918636, + 0.01299762463119133, + 0.020534481366845773, + 0.027104496317563634, + 0.03269019012218243, + 0.037308283803886455, + 0.04100936504617497, + 0.043876599238036336, + 0.046023516416685624, + 0.04759092945876667, + 0.0487430617155585, + 0.049662983173148864, + 0.05054747261227462, + 0.05160143867437515, + 0.05303204481410384, + 0.05504269152197423, + 0.057827013713652765, + 0.0615630516819337, + 0.06640775047151963, + 0.07249193504464496, + 0.0799158973359997, + 0.08874571652215325, + 0.09901041591587784, + 0.11070003928106584, + 0.12376470655936281, + 0.13811468457119408, + 0.15362148280927482, + 0.17011995861638027, + 0.18741139047657357, + 0.2052674534903235, + 0.22343500796826027, + 0.24164159104810354, + 0.2596014828461561, + 0.277022203365559, + 0.2936112845893369, + 0.30908315419191196, + 0.32316596331972575, + 0.3356081910319653, + 0.3461848622665963, + 0.35470322451273756, + 0.36100774053559215, + 0.36498427022664426, + 0.3665633335630519, + 0.3657223683000103, + 0.3624869198640082, + 0.35693072638363244, + 0.34917468826701376, + 0.33938473856448365, + 0.32776865688486106, + 0.31457189521379647, + 0.3000725079846616, + 0.2845753005866566, + 0.26840532962328684, + 0.25190090418534206, + 0.23540624978150473, + 0.2192640050693578, + 0.20380772593759838, + 0.18935457169417275, + 0.1761983441057069, + 0.1646030419046506, + 0.15479708132702866, + 0.14696831755645012, + 0.14125998300926493, + 0.13776763666127648, + 0.13653719461641825, + 0.13756408643605864, + 0.14079355500879825, + 0.14612209059530967, + 0.1533999627910941, + 0.16243478816568102, + 0.17299604689078704, + 0.18482043935527484, + 0.19761795412159203, + 0.2110785020810719, + 0.2248789587107572, + 0.23869044723171082, + 0.2521856904326763, + 0.2650462580681029, + 0.2769695400776926, + 0.28767528331464864, + 0.2969115408199745, + 0.3044598976529946, + 0.31013985550766154, + 0.3138122793549547, + 0.3153818326307162, + 0.3147983524576647, + 0.31205714243169763, + 0.30719818697237833, + 0.3003043174829708, + 0.29149838594069016, + 0.28093952542013156, + 0.26881859885753445, + 0.2553529565587823, + 0.24078063907383995, + 0.22535417471593544, + 0.20933412989328062, + 0.19298257533678478, + 0.17655663214041015, + 0.16030225827476088, + 0.14444842898411386, + 0.12920185342645202, + 0.11474235535367545, + 0.10121902793027515, + 0.08874725240627919, + 0.07740664781302795, + 0.06723999471036365, + 0.05825315089170071, + 0.05041595148336548, + 0.043664060698206046, + 0.03790171825398274, + 0.033005300753440686, + 0.02882759771467071, + 0.025202683953238374, + 0.021951255100844492, + 0.01888628157058397, + 0.015818828530813404, + 0.0125638856188368, + 0.008946050303977784, + 0.004804912988051286, + 4.8239143628232875e-17 + ], + [ + 0, + -0.00644424891242834, + -0.013872292553702778, + -0.022328567806714144, + -0.031820772986267155, + -0.04231924707236991, + -0.05375740102762051, + -0.06603319249845581, + -0.07901160789983568, + -0.09252808947074984, + -0.10639282003501344, + -0.12039575554059166, + -0.13431227555890662, + -0.14790930531176036, + -0.1609517498842003, + -0.17320907241064876, + -0.1844618434215478, + -0.19450808833416766, + -0.2031692642792979, + -0.21029570597967615, + -0.2157713930320559, + -0.21951790738505608, + -0.22149746964568473, + -0.2217149655989743, + -0.22021889942392808, + -0.21710123691146052, + -0.2124961298683089, + -0.2065775411292805, + -0.19955581749244516, + -0.19167328473885337, + -0.18319896402545277, + -0.174422531713815, + -0.1656476645420307, + -0.15718492845820967, + -0.1493443819912442, + -0.14242807341250419, + -0.13672261491864263, + -0.13249201652712161, + -0.12997095732065955, + -0.12935866221457473, + -0.1308135387715356, + -0.13444871107503947, + -0.14032856671588567, + -0.14846640905074787, + -0.1588232806380612, + -0.17130799578251774, + -0.18577839110786434, + -0.20204377373754503, + -0.21986851771258287, + -0.23897673142600562, + -0.25905789278731517, + -0.2797733251903157, + -0.3007633667257159, + -0.32165506796586074, + -0.3420702404765252, + -0.3616336693075357, + -0.37998129830318894, + -0.39676819726833096, + -0.41167612482693045, + -0.42442051010461385, + -0.4347566899323498, + -0.4424852557779606, + -0.4474563856414124, + -0.44957306018859766, + -0.44879308886256286, + -0.4451298999573865, + -0.4386520779812469, + -0.4294816613579358, + -0.4177912428974438, + -0.40379994379215395, + -0.3877683584777873, + -0.36999259189277695, + -0.35079753189052654, + -0.33052951729352054, + -0.3095485759001588, + -0.28822041633419704, + -0.26690836273720453, + -0.24596542183054532, + -0.22572666781189055, + -0.2065021220115312, + -0.18857029143496581, + -0.1721725135838366, + -0.15750823469687564, + -0.14473132529148275, + -0.13394751119330064, + -0.1252129707529874, + -0.11853412034642033, + -0.11386858124315404, + -0.1111272922229098, + -0.11017770462698959, + -0.11084797053002816, + -0.11293201104331861, + -0.11619533099100089, + -0.12038142883841833, + -0.1252186372160446, + -0.1304272199949112, + -0.13572654684908658, + -0.14084216569716937, + -0.14551259734623886, + -0.14949568495514814, + -0.15257434336814674, + -0.15456156962052423, + -0.1553045955669133, + -0.1546880861277243, + -0.15263631151642923, + -0.1491142483696371, + -0.1441275922817057, + -0.13772169215031874, + -0.12997944426647678, + -0.12101821053988457, + -0.11098584997485174, + -0.100055974883253, + -0.08842256278037917, + -0.0762940709712086, + -0.06388721309920004, + -0.05142056509354446, + -0.03910817181376729, + -0.027153325160806138, + -0.015742679520049034, + -0.005040861253176401, + 0.004814284202308872, + 0.013715680897680016, + 0.021590139948080102, + 0.028400522272284092, + 0.03414688761303457, + 0.03886659743586749, + 0.04263336663460668, + 0.04555528645664201, + 0.04777186800300591, + 0.04945018137269186, + 0.05078018935375407, + 0.05196939590847759, + 0.05323694801145036, + 0.05480734420872849, + 0.05690391419203381, + 0.05974224044000831, + 0.06352369538926068, + 0.06842926559071494, + 0.0746138279218937, + 0.08220103231359611, + 0.09127893086666868, + 0.10189647503804541, + 0.11406098121299743, + 0.1277366409809251, + 0.14284412639036484, + 0.15926131302295057, + 0.17682511557977923, + 0.1953344025201214, + 0.21455392883666521, + 0.23421919998236823, + 0.2540421559376686, + 0.2737175430296593, + 0.29292982292899167, + 0.31136045371935545, + 0.32869536743252015, + 0.34463246224362565, + 0.3588889257953393, + 0.37120820892334316, + 0.381366476335272, + 0.3891783723852461, + 0.3945019557142795, + 0.39724267582017886, + 0.3973562871149247, + 0.3948506211786428, + 0.38978616511624997, + 0.38227542250311786, + 0.37248106267173087, + 0.3606128933263101, + 0.34692371996014293, + 0.3317041825917057, + 0.3152766852655959, + 0.29798855596909746, + 0.2802045935468907, + 0.2622991733869654, + 0.2446480947233525, + 0.22762035907947054, + 0.21157007149117088, + 0.19682865364367771, + 0.18369755098797788, + 0.17244160443759307, + 0.16328324166207228, + 0.15639762366560525, + 0.1519088597365695, + 0.14988737852540587, + 0.15034851556955003, + 0.15325234870256188, + 0.1585047831625083, + 0.16595985857252898, + 0.17542322102498067, + 0.18665667596277052, + 0.19938371208576927, + 0.21329586373375223, + 0.22805975966082978, + 0.24332469029075307, + 0.2587305138072595, + 0.27391571406754395, + 0.2885254205012631, + 0.30221920193200136, + 0.31467845257950167, + 0.32561319920442056, + 0.3347681731707552, + 0.3419280097517029, + 0.34692145882861963, + 0.34962451568633046, + 0.34996240728162, + 0.3479103974944592, + 0.3434934037680618, + 0.33678444649141187, + 0.32790198076394256, + 0.3170061871119153, + 0.3042943226401349, + 0.2899952563926579, + 0.27436333182008926, + 0.2576717147466105, + 0.24020539672562333, + 0.22225403089751888, + 0.2041047802519521, + 0.18603535649591105, + 0.1683074215954846, + 0.1511605136613238, + 0.13480664445880405, + 0.11942569781636378, + 0.10516173704108886, + 0.09212030566906936, + 0.08036678008310805, + 0.06992580537509223, + 0.06078181800033304, + 0.052880630967829134, + 0.04613203023306174, + 0.040413305288554316, + 0.03557361332568775, + 0.03143905536032573, + 0.02781832489878963, + 0.02450877551346763, + 0.02130274345153734, + 0.01799395536858519, + 0.014383849607753763, + 0.010287642171045974, + 0.005539975578476109, + 5.56766617921169e-17 + ], + [ + 0, + -0.00737325026430867, + -0.01584249422515582, + -0.025435664806479984, + -0.0361403237382552, + -0.0479036216332809, + -0.06063339855779236, + -0.0742003986280996, + -0.0884415429847039, + -0.10316417770462812, + -0.11815118751875753, + -0.1331668432582061, + -0.1479632313477191, + -0.1622870978970309, + -0.17588692841892628, + -0.18852007722515285, + -0.19995975830399776, + -0.21000171203326215, + -0.21847036937605113, + -0.2252243470714763, + -0.23016112348020784, + -0.2332207647799805, + -0.234388594634586, + -0.23369672670151898, + -0.23122440774660646, + -0.22709714899154368, + -0.22148465388731675, + -0.21459758101874785, + -0.20668321053829286, + -0.19802011065496383, + -0.18891192655848404, + -0.17968043708616568, + -0.17065804385871317, + -0.162179873025325, + -0.15457568077075207, + -0.14816176005851947, + -0.14323304754236055, + -0.1400556261193387, + -0.1388598102923761, + -0.13983398854630993, + -0.14311937962545096, + -0.1488058383454394, + -0.15692882188987234, + -0.1674676000303156, + -0.18034476303560337, + -0.1954270499260973, + -0.21252748794100038, + -0.2314088024000812, + -0.25178802533247757, + -0.273342202071345, + -0.2957150681918804, + -0.318524545362711, + -0.34137088447475566, + -0.36384526830770353, + -0.38553867439238304, + -0.4060507919177231, + -0.42499878468656205, + -0.4420256952966492, + -0.45680829384014393, + -0.4690641872839563, + -0.4785580230050166, + -0.48510664129070236, + -0.48858305645815386, + -0.4889191739940459, + -0.4861071810943428, + -0.48019957946279385, + -0.47130786144194564, + -0.4595998627178615, + -0.44529585617760353, + -0.4286634812455352, + -0.4100116304587033, + -0.38968343949806294, + -0.3680485477798019, + -0.3454948135258661, + -0.32241967957197354, + -0.29922139374166035, + -0.2762902902405685, + -0.2540003361518206, + -0.23270113980937981, + -0.21271060578102835, + -0.19430840471146268, + -0.17773040577290117, + -0.163164195457538, + -0.15074577952066887, + -0.14055753571327, + -0.13262745425028086, + -0.12692967150377174, + -0.12338627096398509, + -0.12187029484928698, + -0.12220988062081352, + -0.12419340978184673, + -0.1275755323713419, + -0.13208391007784484, + -0.13742650439894724, + -0.14329922414727356, + -0.1493937391422441, + -0.15540526429663246, + -0.16104012055696262, + -0.16602288621450112, + -0.17010296377691542, + -0.17306040357320088, + -0.174710845143047, + -0.17490946072717614, + -0.17355381123456315, + -0.1705855532546832, + -0.1659909652948258, + -0.15980029170686033, + -0.15208593296199974, + -0.14295954027709945, + -0.13256810035550623, + -0.12108912148400991, + -0.10872505478800064, + -0.09569710352654173, + -0.08223858843305162, + -0.06858804790086931, + -0.05498225801069258, + -0.04164935884912202, + -0.028802270244159777, + -0.0166325720346059, + -0.005305011503796807, + 0.005047216035423139, + 0.014326287893093419, + 0.022472573869027745, + 0.029466379513134886, + 0.03532856510766464, + 0.040120022082587546, + 0.043940018445413606, + 0.046923454405989724, + 0.049237097953511125, + 0.051074896970791275, + 0.05265248886709315, + 0.0542010500535563, + 0.05596064532885389, + 0.05817325093171043, + 0.06107563429730042, + 0.06489227818294471, + 0.06982853667811588, + 0.07606420567781418, + 0.0837476807903278, + 0.09299086160126332, + 0.1038649430684092, + 0.11639721302282842, + 0.1305689498392542, + 0.14631448693123777, + 0.16352148150499463, + 0.1820323946988936, + 0.2016471595999653, + 0.22212698343145154, + 0.2431992012039169, + 0.2645630710459931, + 0.28589637696260095, + 0.30686268352782203, + 0.3271190695472104, + 0.3463241544680726, + 0.36414622262047713, + 0.380271246467949, + 0.3944106110483613, + 0.40630834768400426, + 0.41574769570569986, + 0.422556826120926, + 0.4266135804998239, + 0.42784910139148263, + 0.42625025675963757, + 0.421860789606731, + 0.4147811544400307, + 0.40516703377914404, + 0.3932265597392062, + 0.37921629706820764, + 0.3634360741009243, + 0.3462227761762471, + 0.3279432414576053, + 0.3089864211714212, + 0.28975498449010423, + 0.2706565621824969, + 0.2520948323896735, + 0.23446065622516576, + 0.2181234702338077, + 0.20342313708234858, + 0.19066244533066304, + 0.1801004339963971, + 0.17194669824341285, + 0.1663568093643641, + 0.1634289558520241, + 0.16320188340315306, + 0.16565418087639902, + 0.1707049272815103, + 0.17821568258777937, + 0.18799377329024414, + 0.19979679303675218, + 0.2133382099414775, + 0.2282939461863636, + 0.24430977277140278, + 0.26100934336668513, + 0.2780026765985622, + 0.2948948861182653, + 0.31129495268904994, + 0.3268243324027928, + 0.341125199991968, + 0.3538681359087402, + 0.3647590801514001, + 0.3735453943687807, + 0.38002089610117235, + 0.38402975456513566, + 0.38546916552478044, + 0.38429075281644554, + 0.38050067526491077, + 0.37415844927827874, + 0.36537452855866404, + 0.3543067123515581, + 0.34115548174327476, + 0.32615838901690997, + 0.30958364737187855, + 0.2917230868601803, + 0.2728846567480048, + 0.2533846643328705, + 0.23353994530624714, + 0.2136601609403317, + 0.19404041270723024, + 0.17495435554206734, + 0.15664797708855321, + 0.13933419227710717, + 0.12318838094458523, + 0.10834497146359916, + 0.09489514613740542, + 0.0828857151226152, + 0.07231917559914491, + 0.06315494257206597, + 0.05531170782660779, + 0.04867085491548904, + 0.0430808313551184, + 0.038362355112370315, + 0.03431431157844221, + 0.030720180071214683, + 0.027354815908589163, + 0.02399140557359877, + 0.020408408655858044, + 0.016396301193280494, + 0.01176394072287179, + 0.0063443836303248465, + 6.376729735024142e-17 + ], + [ + 0, + -0.00837138918069503, + -0.01794506351999766, + -0.028728913779347786, + -0.04068712873452716, + -0.05374083708385397, + -0.0677699672873754, + -0.08261627864973409, + -0.09808748624450203, + -0.11396237350950948, + -0.12999676025311735, + -0.14593017106557668, + -0.1614930303089888, + -0.1764141954470263, + -0.1904286308441166, + -0.20328501956595652, + -0.2147531112754452, + -0.22463061003720577, + -0.2327494165870257, + -0.2389810551305351, + -0.24324113462894767, + -0.2454927183186686, + -0.24574850230738066, + -0.24407173381920577, + -0.24057583128573873, + -0.23542270120929729, + -0.22881977974145407, + -0.2210158593967479, + -0.21229579244303745, + -0.20297419149293475, + -0.1933882739334503, + -0.1838900194115738, + -0.17483782806674764, + -0.16658788109268402, + -0.15948541415928766, + -0.15385611799116067, + -0.14999787887107732, + -0.14817306503480687, + -0.14860155299857103, + -0.15145467109023192, + -0.15685021623877518, + -0.1648486749232853, + -0.17545075070044305, + -0.188596269610117, + -0.2041645017599206, + -0.22197590331756453, + -0.24179524882839407, + -0.263336090065931, + -0.28626644534364015, + -0.3102155931605984, + -0.3347818169630911, + -0.35954092434733376, + -0.38405534478616726, + -0.40788359541260444, + -0.43058989489877186, + -0.4517537012697994, + -0.4709789506984676, + -0.48790278091557104, + -0.50220353468854, + -0.5136078555842698, + -0.5218967095373545, + -0.5269101910766246, + -0.5285510018068271, + -0.5267865202005751, + -0.5216494151638869, + -0.5132367903845111, + -0.5017078813158339, + -0.4872803609433763, + -0.47022534339234173, + -0.4508612051641778, + -0.42954637159238407, + -0.40667124030959784, + -0.3826494335349839, + -0.3579085863414934, + -0.3328808883802282, + -0.30799360158079325, + -0.28365977599907377, + -0.26026938026621627, + -0.2381810521555597, + -0.21771465890644442, + -0.19914483652476683, + -0.1826956528302679, + -0.16853651114844567, + -0.15677938094240643, + -0.14747740910443868, + -0.14062493188338138, + -0.1361588733437537, + -0.13396148267467642, + -0.13386433041508017, + -0.13565345352642869, + -0.13907551196096837, + -0.14384479560605073, + -0.14965090080855764, + -0.156166880570583, + -0.16305766231675217, + -0.1699885221005913, + -0.176633404349342, + -0.1826828817196896, + -0.18785156019709204, + -0.19188474993852425, + -0.19456424213338727, + -0.19571305583192583, + -0.19519904566066532, + -0.19293729092496129, + -0.18889121804100956, + -0.1830724407497367, + -0.1755393353239974, + -0.16639440016484006, + -0.15578047998457178, + -0.14387596342232956, + -0.13088908871545532, + -0.11705151431397605, + -0.10261132952174815, + -0.08782569392518466, + -0.07295330319179849, + -0.05824688257141236, + -0.04394590802588491, + -0.03026974839142307, + -0.017411410512562352, + -0.005532053174520822, + 0.005243584686484692, + 0.014830720078083767, + 0.02318693210073636, + 0.03031337347824961, + 0.03625475403699799, + 0.04109809480904088, + 0.04497028359552409, + 0.0480344942244819, + 0.05048556157375437, + 0.05254443194640466, + 0.05445183288202118, + 0.05646132733738705, + 0.05883193384025413, + 0.06182050628119015, + 0.06567407414695273, + 0.07062234602445443, + 0.07687057605523993, + 0.08459298476471884, + 0.09392691252478898, + 0.1049678661532149, + 0.11776559724421086, + 0.1323213253031721, + 0.14858619025695263, + 0.16646098813810148, + 0.18579721146374056, + 0.2063993828534248, + 0.22802863758050881, + 0.25040747885202225, + 0.27322559946478986, + 0.29614663585024587, + 0.3188156960962174, + 0.34086748294118346, + 0.3619348165018248, + 0.38165735003710516, + 0.39969026567325816, + 0.4157127358895708, + 0.42943594074078656, + 0.4406104401825073, + 0.44903271525626265, + 0.45455071094141364, + 0.4570682367363185, + 0.4565481079306787, + 0.45301394042295734, + 0.4465505440941787, + 0.4373028933878911, + 0.42547368804315794, + 0.4113195510428956, + 0.39514594393649194, + 0.3773009109597035, + 0.35816779203664684, + 0.3381570701009942, + 0.3176975395897535, + 0.29722699991211043, + 0.2771826897559722, + 0.257991684963673, + 0.24006148421025855, + 0.22377100280919238, + 0.20946218573960515, + 0.19743243665583368, + 0.1879280405480398, + 0.18113873433350525, + 0.17719355253812674, + 0.17615804503486512, + 0.1780329312738381, + 0.18275422135811806, + 0.19019479951879434, + 0.2001674308686009, + 0.2124291186082223, + 0.22668670694209858, + 0.2426035956057714, + 0.2598074058259389, + 0.27789841535826104, + 0.2964585625110693, + 0.31506080619091326, + 0.3332786213040258, + 0.350695406494921, + 0.3669135842466888, + 0.381563181722034, + 0.39430969417426015, + 0.4048610509631146, + 0.4129735267153035, + 0.4184564664122674, + 0.42117572251629515, + 0.4210557339333288, + 0.41808020987335626, + 0.41229141568620264, + 0.40378809168409346, + 0.39272206897858725, + 0.3792936776487931, + 0.36374607135503784, + 0.34635861811539054, + 0.3274395287503731, + 0.3073179119481639, + 0.28633545759186785, + 0.2648379576239216, + 0.24316687612851406, + 0.22165117744934468, + 0.20059961311619792, + 0.180293655347579, + 0.16098124726877575, + 0.14287151819015179, + 0.12613058688726242, + 0.11087854745902179, + 0.09718770173197387, + 0.08508207010133104, + 0.07453817996187143, + 0.06548709830772585, + 0.05781764348783445, + 0.051380681285509815, + 0.04599438319243456, + 0.04145030065150278, + 0.03752008874969822, + 0.033962696855947, + 0.030531832414938564, + 0.026983497803041386, + 0.023083398977903805, + 0.018614028631215435, + 0.013381235576858419, + 0.007220105939881982, + 7.251809163146902e-17 + ], + [ + 0, + -0.00943705834156597, + -0.020174369176559584, + -0.03219638775823626, + -0.04544092138753293, + -0.059800547663609836, + -0.07512531494564173, + -0.09122665589430269, + -0.10788241311042923, + -0.12484284658801055, + -0.14183746669509784, + -0.15858251435304768, + -0.174788892566116, + -0.19017034091076526, + -0.20445163735331728, + -0.21737661001890404, + -0.22871574533915656, + -0.23827318827636462, + -0.24589294483604524, + -0.2514641164839994, + -0.2549250199006564, + -0.2562660731458717, + -0.25553136008544747, + -0.2528188180806297, + -0.2482790286369168, + -0.2421126260815788, + -0.23456637450444404, + -0.22592799727120721, + -0.21651987554554378, + -0.2066917616252083, + -0.1968126787646, + -0.18726220086418294, + -0.1784213223999574, + -0.17066314080434594, + -0.16434357988100312, + -0.15979238356308223, + -0.15730460436998048, + -0.15713280038513947, + -0.15948013870924097, + -0.16449458251403545, + -0.17226431353068494, + -0.1828145126630051, + -0.19610558912701798, + -0.21203291386965914, + -0.23042807685699823, + -0.25106165103073763, + -0.2736474092129155, + -0.2978479048895879, + -0.323281294494405, + -0.349529248363337, + -0.37614577069427046, + -0.4026667262838333, + -0.42861985408890163, + -0.4535350352135326, + -0.47695457606681346, + -0.4984432663492109, + -0.5175979762394451, + -0.5340565675632114, + -0.5475059095821629, + -0.557688810965739, + -0.5644097049944458, + -0.5675389544741251, + -0.5670156755025101, + -0.5628490143288476, + -0.5551178482315088, + -0.5439689187155077, + -0.5296134424929888, + -0.5123222817518137, + -0.49241978926475694, + -0.4702764751182637, + -0.4463006694882508, + -0.4209293792924287, + -0.394618555139777, + -0.367832998332247, + -0.3410361454348154, + -0.3146799699379404, + -0.2891952367527943, + -0.26498233580792047, + -0.24240290609930873, + -0.22177244156038914, + -0.20335404556452397, + -0.1873534723615519, + -0.17391556198980498, + -0.16312214098205205, + -0.15499142534364616, + -0.14947892570748417, + -0.1464798181632504, + -0.14583270891195918, + -0.14732468747702224, + -0.15069753252665044, + -0.15565490717641262, + -0.16187035760438487, + -0.16899591047957166, + -0.17667105151447215, + -0.18453185971371652, + -0.19222006977573322, + -0.19939183864651028, + -0.2057260013163718, + -0.2109316153471533, + -0.21475461294191026, + -0.21698340312401573, + -0.21745329416977657, + -0.2160496371371334, + -0.21270962437474666, + -0.20742271144628122, + -0.20022966609322923, + -0.1912202828013956, + -0.1805298353541046, + -0.16833437160208478, + -0.15484498375938982, + -0.14030121312093316, + -0.12496376955331169, + -0.10910676290417892, + -0.09300965519199474, + -0.0769491487910108, + -0.061191226664510434, + -0.0459835560101186, + -0.03154845659089908, + -0.018076619797329184, + -0.00572174450950832, + 0.005403768383145931, + 0.01523194877872831, + 0.023741134192596092, + 0.030956540208601488, + 0.036949508307525615, + 0.041835449423100364, + 0.0457705357198188, + 0.04894722591249917, + 0.05158874012095557, + 0.05394262799362302, + 0.05627359793449677, + 0.058855795112328475, + 0.061964731010387734, + 0.0658690771994479, + 0.07082254052549378, + 0.07705603587246733, + 0.08477036610380238, + 0.0941296068581522, + 0.10525537686340578, + 0.11822215275577379, + 0.13305376158219734, + 0.14972115486402615, + 0.16814153603593146, + 0.18817887904521363, + 0.20964584075260023, + 0.23230703439555864, + 0.2558835966460924, + 0.28005894758946637, + 0.3044856121049134, + 0.32879294342335885, + 0.35259556577351664, + 0.37550233361496593, + 0.39712559049422713, + 0.4170905014245876, + 0.4350442291279739, + 0.45066472659520773, + 0.4636689261862941, + 0.473820118731594, + 0.4809343344983955, + 0.48488556101738517, + 0.4856096600637582, + 0.48310687689780374, + 0.4774428684411729, + 0.46874821257936145, + 0.4572163973703073, + 0.44310032570735985, + 0.42670740702989235, + 0.40839334211069034, + 0.38855473892790593, + 0.36762072636204957, + 0.3460437572349592, + 0.32428981241391774, + 0.302828232837507, + 0.2821214160015586, + 0.26261461742865294, + 0.24472609582691557, + 0.22883783305991484, + 0.21528704687700873, + 0.20435869590742928, + 0.1962791531459934, + 0.19121119661644256, + 0.189250434757621, + 0.1904232500938828, + 0.1946863087499223, + 0.20192764622676643, + 0.21196930247300802, + 0.22457144257222894, + 0.2394378642161466, + 0.25622276039687686, + 0.2745385762248851, + 0.293964773176648, + 0.31405729301628804, + 0.33435849762487235, + 0.354407350392342, + 0.37374959992902135, + 0.3919477277457903, + 0.40859042820162594, + 0.4233014012504358, + 0.43574725602544373, + 0.44564434563898864, + 0.45276438019111476, + 0.45693869520987757, + 0.4580610858404728, + 0.45608915224059815, + 0.4510441379585247, + 0.4430092796735832, + 0.43212672266620733, + 0.41859309087361285, + 0.4026538325336054, + 0.3845964914386641, + 0.3647430790099762, + 0.3434417431476465, + 0.32105794562101314, + 0.29796537025780956, + 0.27453678913091506, + 0.25113511322329823, + 0.22810484771279685, + 0.20576416023525299, + 0.18439775356911192, + 0.16425071257555618, + 0.14552346948008996, + 0.12836800235089924, + 0.11288534965804704, + 0.09912448989443631, + 0.08708260025980445, + 0.0767066732333093, + 0.0678964353722067, + 0.06050847973854505, + 0.0543614927971626, + 0.04924242920994884, + 0.04491346435680722, + 0.04111953522951014, + 0.037596266045595926, + 0.03407806586720844, + 0.03030618190393743, + 0.026036494111439778, + 0.02104684411171887, + 0.015143704161384238, + 0.008168009553076344, + 8.19255753374069e-17 + ], + [ + 0, + -0.010567519544514792, + -0.022522578883388062, + -0.03582300689672809, + -0.0503775027198142, + -0.06604791669443551, + -0.08265286261392396, + -0.09997256773028604, + -0.11775483444968642, + -0.13572195829441125, + -0.15357842130331853, + -0.17101915922784636, + -0.18773818519096375, + -0.20343734231750918, + -0.2178349534828566, + -0.23067413788386362, + -0.24173057158394953, + -0.2508194823470922, + -0.25780168763378736, + -0.2625885081297899, + -0.26514541703518857, + -0.2654943168660553, + -0.2637143699293386, + -0.2599413450658128, + -0.25436548080533966, + -0.24722790280325616, + -0.23881567037985804, + -0.22945556223750802, + -0.21950674409310533, + -0.2093524902114898, + -0.19939115591518813, + -0.19002661843705532, + -0.18165841845231617, + -0.17467184388397505, + -0.1694282008705037, + -0.16625551401472966, + -0.1654398892459543, + -0.16721775802096997, + -0.17176920150612215, + -0.1792125283005543, + -0.18960024978394902, + -0.20291656401404431, + -0.21907642306619268, + -0.23792622067815875, + -0.2592460979682122, + -0.282753825791483, + -0.3081101839511676, + -0.33492572093071515, + -0.362768743961429, + -0.39117435892261815, + -0.419654353538813, + -0.4477076962365276, + -0.4748314073773557, + -0.5005315497872286, + -0.5243340818027448, + -0.5457953185545931, + -0.5645117558531739, + -0.580129025629938, + -0.5923497720710658, + -0.600940262872005, + -0.6057355798307026, + -0.6066432665622734, + -0.6036453476438198, + -0.5967986720978716, + -0.5862335738583264, + -0.5721508817678541, + -0.5548173507604268, + -0.5345596232367104, + -0.5117568643363775, + -0.48683224600833297, + -0.460243481721859, + -0.4324726356978837, + -0.40401544713988097, + -0.3753704207114986, + -0.34702793918986413, + -0.3194596527154618, + -0.29310839140975076, + -0.26837883453866823, + -0.2456291502080216, + -0.22516379526647035, + -0.2072276362692776, + -0.19200151973706164, + -0.17959938433623587, + -0.17006696989165124, + -0.16338213924725206, + -0.15945678987475173, + -0.158140293754286, + -0.15922436735549217, + -0.1624492394297009, + -0.16751095361571341, + -0.17406961630859985, + -0.18175837848449958, + -0.19019292373567923, + -0.19898122403763427, + -0.20773331998987143, + -0.2160708835422806, + -0.22363632848737955, + -0.23010124706401675, + -0.23517396953571493, + -0.23860606709711374, + -0.24019764632280843, + -0.23980131489445128, + -0.23732473272495574, + -0.23273169897381984, + -0.22604176289803685, + -0.21732838406670324, + -0.20671570424083385, + -0.19437402826160152, + -0.18051414372387625, + -0.16538063822802762, + -0.14924439787897872, + -0.13239449081995472, + -0.11512965445201222, + -0.09774961423472428, + -0.08054646536533988, + -0.06379634611748519, + -0.04775162325906509, + -0.03263379598239742, + -0.01862730552912321, + -0.0058744136716312925, + 0.0055287149650537805, + 0.015534623373959812, + 0.024145796314613478, + 0.031414485041385436, + 0.03744112638103299, + 0.042371396710012624, + 0.04639197714349922, + 0.04972514008093815, + 0.05262229829709251, + 0.05535668523242106, + 0.05821535832149255, + 0.06149073550949275, + 0.0654718880734376, + 0.07043582014933983, + 0.07663896677472969, + 0.08430913774076682, + 0.09363812421170283, + 0.10477516916022507, + 0.11782148157419087, + 0.13282594863324187, + 0.1497821702705076, + 0.168626907465034, + 0.1892400000782949, + 0.21144577294027264, + 0.235015911135182, + 0.2596737479803869, + 0.285099872975158, + 0.3109389329304285, + 0.3368074684368422, + 0.3623026005727422, + 0.38701135999039293, + 0.4105204328308568, + 0.4324260857641492, + 0.4523440261530273, + 0.46991895307306053, + 0.48483356071555944, + 0.49681676743064546, + 0.5056509610643247, + 0.5111780738943377, + 0.5133043278318067, + 0.5120035219687286, + 0.5073187692528308, + 0.49936262621611227, + 0.48831559836418625, + 0.4744230431034416, + 0.45799053097860826, + 0.43937776355867125, + 0.4189911816193891, + 0.3972754294548796, + 0.37470386941359624, + 0.3517683643950161, + 0.3289685644751276, + 0.30680094659055834, + 0.2857478629812281, + 0.2662668546945632, + 0.24878048086632387, + 0.23366690284199004, + 0.22125144476460692, + 0.21179932944884303, + 0.20550976073682348, + 0.20251149175794964, + 0.20285998336277822, + 0.2065362193237499, + 0.21344720560859684, + 0.22342814109063547, + 0.23624620743486202, + 0.2516058875529587, + 0.2691556858854781, + 0.2884960907227548, + 0.3091885896185138, + 0.3307655243870131, + 0.3527405527983603, + 0.3746194703620249, + 0.3959111378416117, + 0.4161382585537423, + 0.4348477540984435, + 0.45162049782403774, + 0.4660801817741275, + 0.47790111468390384, + 0.48681477524256694, + 0.49261497565524015, + 0.49516152475713965, + 0.49438231670845045, + 0.4902738097224601, + 0.4828998984053849, + 0.4723892221518002, + 0.4589309896909274, + 0.4427694353943848, + 0.4241970554681822, + 0.40354680086961203, + 0.38118342801755883, + 0.3574942275196044, + 0.3328793647648599, + 0.30774207400952913, + 0.282478949340128, + 0.25747057161414816, + 0.233072700276995, + 0.20960824311090334, + 0.18736019589977798, + 0.16656571823611221, + 0.1474114819102165, + 0.13003039526508955, + 0.11449977140909257, + 0.10084097114915958, + 0.08902051387188857, + 0.07895261230435066, + 0.07050305106606462, + 0.06349429508012576, + 0.05771168309047751, + 0.05291053450217578, + 0.04882397519432798, + 0.04517127041027645, + 0.0416664407387972, + 0.03802693085825313, + 0.033982100272660125, + 0.02928131072589608, + 0.023701396190840877, + 0.017053318002497243, + 0.00918782940933569, + 9.197564447401809e-17 + ], + [ + 0, + -0.011758922441247889, + -0.024979730667188234, + -0.03959069450641239, + -0.055469010964131545, + -0.07244402449218884, + -0.09030181057084419, + -0.10879100302229412, + -0.12762971272878013, + -0.1465133565489477, + -0.1651231909515666, + -0.18313532583702644, + -0.20022998068427952, + -0.21610073789072998, + -0.23046354715931155, + -0.24306524006777833, + -0.253691325408866, + -0.2621728532398992, + -0.2683921584014291, + -0.27228732199329586, + -0.2738552212456267, + -0.2731530735971485, + -0.27029841871184423, + -0.2654675216800462, + -0.25889222077232354, + -0.2508552828375719, + -0.24168436776206303, + -0.23174473936819262, + -0.22143089282160466, + -0.2111572972042801, + -0.20134847567055641, + -0.1924286639231801, + -0.18481130015177888, + -0.17888860573718274, + -0.17502151576694006, + -0.17353021171457023, + -0.17468549565163424, + -0.1787012263882442, + -0.1857280134239917, + -0.19584833512561395, + -0.20907321384212568, + -0.22534054354117344, + -0.2445151259069032, + -0.2663904296486795, + -0.29069204604059823, + -0.31708277246843813, + -0.34516921601772066, + -0.3745097718732702, + -0.40462379743692023, + -0.4350017734435835, + -0.4651162187017555, + -0.494433106016211, + -0.522423513845821, + -0.5485752416367911, + -0.5724041167240745, + -0.5934647272226156, + -0.6113603282859271, + -0.6257516881848424, + -0.6363646653964418, + -0.6429963376954849, + -0.6455195383869197, + -0.6438856924804066, + -0.638125885871847, + -0.6283501424844944, + -0.6147449268151393, + -0.5975689313961517, + -0.577147249299386, + -0.5538640699863925, + -0.5281540716242272, + -0.5004927135934524, + -0.4713856585739939, + -0.44135757368657236, + -0.4109405742102337, + -0.38066258105661926, + -0.3510358642821862, + -0.3225460394447706, + -0.295641771706045, + -0.2707254245493463, + -0.24814486627596635, + -0.228186618653426, + -0.21107049893204605, + -0.1969458697424069, + -0.18588957204340764, + -0.17790557527888712, + -0.1729263372298903, + -0.1708158247435998, + -0.17137410659160887, + -0.17434339213652217, + -0.17941535518354468, + -0.186239552196838, + -0.19443271869977494, + -0.20358870776346244, + -0.2132888204925924, + -0.22311227066777584, + -0.23264652436949262, + -0.24149726050172304, + -0.24929770950469904, + -0.2557171448921059, + -0.2604683251165999, + -0.26331371107070384, + -0.26407031655831376, + -0.26261308451200477, + -0.2588767196865635, + -0.25285594807227174, + -0.24460421334830834, + -0.23423086033080226, + -0.2218968935684351, + -0.207809435045515, + -0.19221503747439905, + -0.17539203808599826, + -0.1576421614529322, + -0.13928159812025778, + -0.12063179822514143, + -0.10201022555806993, + -0.08372131750737068, + -0.06604789004714795, + -0.04924321454517405, + -0.03352397500393702, + -0.019064290872357885, + -0.005990962378337894, + 0.005619936847736596, + 0.01574503044190733, + 0.024414121479572976, + 0.03170917331102688, + 0.03776181549500427, + 0.04274943987493819, + 0.046889988803789445, + 0.050435571897035784, + 0.05366507860519845, + 0.05687598055945151, + 0.060375539375308734, + 0.0644716518426809, + 0.06946357476607033, + 0.07563277587497311, + 0.08323415508556951, + 0.09248787200266584, + 0.1035720011050727, + 0.11661621591013817, + 0.13169667805978513, + 0.14883227733845358, + 0.16798233486615444, + 0.1890458449483198, + 0.2118622922257447, + 0.23621404082404768, + 0.2618302521536213, + 0.2883922488636021, + 0.31554020519216425, + 0.3428810095204302, + 0.3699971142002348, + 0.39645616146788093, + 0.4218211531482635, + 0.44566091644058553, + 0.4675606087622147, + 0.4871320016638951, + 0.5040232873131875, + 0.5179281609092059, + 0.5285939484174529, + 0.5358285708224109, + 0.5395061631670127, + 0.5395711983299956, + 0.536041001016804, + 0.5290065759427431, + 0.5186317147286787, + 0.5051503876175965, + 0.48886246773486586, + 0.470127876233591, + 0.449359275288905, + 0.4270134715791979, + 0.40358172473624937, + 0.37957918247140765, + 0.35553368601486174, + 0.33197420559246343, + 0.3094191755050113, + 0.2883650017166513, + 0.26927501161000766, + 0.2525691057947157, + 0.23861435579260862, + 0.22771676945054536, + 0.2201144185795854, + 0.2159720912478513, + 0.21537759514091176, + 0.21833979932168168, + 0.22478846052085824, + 0.23457583777005955, + 0.24748005678187762, + 0.26321014401483755, + 0.2814126108444697, + 0.30167943165406574, + 0.3235572268483259, + 0.34655743357474805, + 0.37016722399306706, + 0.39386091381469046, + 0.4171115929506794, + 0.4394027057146172, + 0.4602393102221458, + 0.47915875534712676, + 0.49574052861045953, + 0.5096150493125455, + 0.5204712075506712, + 0.5280624808325507, + 0.532211495036504, + 0.5328129346101057, + 0.5298347472009608, + 0.5233176293824392, + 0.5133728217537381, + 0.5001782824359602, + 0.4839733468559645, + 0.46505201775786326, + 0.4437550617300291, + 0.42046111639859707, + 0.3955770351442653, + 0.36952771320463484, + 0.34274564992818457, + 0.31566050649952293, + 0.28868891656758866, + 0.2622247989480095, + 0.2366304071649126, + 0.21222833042503653, + 0.18929463519978224, + 0.16805330657967374, + 0.14867211472431568, + 0.13125999491709434, + 0.11586599087723322, + 0.10247977106131438, + 0.0910336877054138, + 0.08140630932046299, + 0.07342732023472076, + 0.06688364650582677, + 0.06152663695540984, + 0.057080101971910914, + 0.05324899172939805, + 0.0497284800997319, + 0.04621321116852664, + 0.04240646212668431, + 0.03802897946688829, + 0.032827254777938054, + 0.02658102175287591, + 0.019109776913472185, + 0.010278152468059014, + 1.0264357380419932e-16 + ], + [ + 0, + -0.013006337911899372, + -0.027533832656255065, + -0.04347857356472338, + -0.06068424139506597, + -0.0789463333179955, + -0.0980177645061206, + -0.11761569939039913, + -0.1374294332188615, + -0.1571291166843752, + -0.17637509379460592, + -0.19482760641741032, + -0.21215660848103202, + -0.22805142891512725, + -0.2422300251954163, + -0.2544475787434987, + -0.26450419920953416, + -0.27225152644360306, + -0.2775980462046978, + -0.28051296768943423, + -0.28102854698925567, + -0.279240779707093, + -0.2753084272048365, + -0.2694503832793025, + -0.2619414304151926, + -0.253106476074625, + -0.24331339871377805, + -0.23296466937744886, + -0.22248794689591944, + -0.21232587207697493, + -0.2029253081488726, + -0.1947262905028272, + -0.18815095809142907, + -0.1835927414081435, + -0.18140607771545514, + -0.18189691318772452, + -0.18531423413939577, + -0.19184284593167894, + -0.20159758905478567, + -0.21461914796982792, + -0.2308715703870427, + -0.25024157367814437, + -0.2725396720713115, + -0.2975031142118529, + -0.32480057667132284, + -0.3540385161348922, + -0.3847690423466971, + -0.4164991364492027, + -0.44870100604143687, + -0.48082333992829995, + -0.5123032028444803, + -0.5425782939788016, + -0.5710992833132392, + -0.5973419368772193, + -0.6208187460856405, + -0.641089787289982, + -0.6577725552688152, + -0.6705505381967326, + -0.6791803310862456, + -0.6834971190840238, + -0.6834184004880617, + -0.6789458610024326, + -0.6701653545496793, + -0.6572449908532199, + -0.6404313748921128, + -0.6200440871269206, + -0.5964685350338564, + -0.5701473449535831, + -0.5415704976274521, + -0.5112644402251649, + -0.4797804314522821, + -0.44768239389130055, + -0.41553455865617295, + -0.3838891914703468, + -0.35327468632499476, + -0.32418430302065737, + -0.2970658083947191, + -0.2723122583042284, + -0.250254129036411, + -0.23115297346338978, + -0.21519673976995182, + -0.20249684989005298, + -0.193087091893227, + -0.18692433652220652, + -0.1838910439803532, + -0.1837994839837788, + -0.18639755108291176, + -0.19137601932308135, + -0.19837704637680623, + -0.20700370816460592, + -0.2168303213881198, + -0.2274132938928646, + -0.23830223177001422, + -0.24905102784726593, + -0.2592286587904935, + -0.2684294273533649, + -0.27628240211700705, + -0.28245982894139826, + -0.28668431573945974, + -0.28873462438333636, + -0.2884499397412542, + -0.2857325251063871, + -0.28054871462544195, + -0.2729282357233137, + -0.26296189688666405, + -0.25079771745160806, + -0.2366356152062496, + -0.22072080368969582, + -0.20333608314695806, + -0.18479323638681674, + -0.1654237626117871, + -0.14556919810837465, + -0.12557128211587923, + -0.10576222900811533, + -0.08645536406598188, + -0.067936369698989, + -0.05045537226479362, + -0.03422007706943758, + -0.01939013128642381, + -0.006072862121415849, + 0.005679498602800282, + 0.015871031239568626, + 0.02456175509194761, + 0.0318656753664781, + 0.037947301842603136, + 0.04301673081704853, + 0.04732341957780865, + 0.05114881707092859, + 0.054798044669195356, + 0.05859084626375213, + 0.06285204662998697, + 0.06790177066036615, + 0.07404568325465048, + 0.08156551021951076, + 0.09071009442910541, + 0.10168722887749317, + 0.1146564894187648, + 0.1297232654041206, + 0.14693415669466736, + 0.1662738713924795, + 0.18766372094034808, + 0.21096176893327515, + 0.2359646480700165, + 0.2624110172010401, + 0.2899865884662664, + 0.3183306141175025, + 0.3470436848052958, + 0.3756966568341625, + 0.40384049602392874, + 0.43101680111986723, + 0.4567687508050985, + 0.48065220577653395, + 0.5022466913860624, + 0.5211659871929244, + 0.5370680574237872, + 0.5496640706271972, + 0.5587262774069659, + 0.5640945415354022, + 0.5656813513476936, + 0.5634751743386937, + 0.557542057447524, + 0.5480254176586844, + 0.5351440112400369, + 0.519188114106907, + 0.5005139893625683, + 0.4795367599464309, + 0.45672184348940476, + 0.4325751419636246, + 0.40763220964196417, + 0.382446648483536, + 0.3575779996964063, + 0.3335794134055028, + 0.31098538473759174, + 0.29029984405789616, + 0.2719848815571801, + 0.25645037206679805, + 0.24404474521223815, + 0.2350471193011254, + 0.22966098532371487, + 0.22800959089717432, + 0.23013313379538206, + 0.23598783184910638, + 0.24544689151842639, + 0.258303352411263, + 0.27427474054358725, + 0.29300942028931465, + 0.3140944947921775, + 0.3370650680833825, + 0.36141465015332974, + 0.3866064595374438, + 0.41208535723913287, + 0.4372901315249879, + 0.46166584562763163, + 0.4846759598532164, + 0.5058139460153118, + 0.5246141253362047, + 0.5406614806353898, + 0.5536002192702157, + 0.5631408942666314, + 0.5690659266099236, + 0.5712334108772128, + 0.569579128316828, + 0.5641167350813562, + 0.554936137528509, + 0.542200110231498, + 0.5261392545168038, + 0.5070454349408942, + 0.4852638671632967, + 0.46118406229567643, + 0.43522985924067925, + 0.40784879714541566, + 0.37950109439344293, + 0.3506485082136843, + 0.32174334982846775, + 0.29321792409798236, + 0.2654746500163473, + 0.2388770995109058, + 0.21374216728251666, + 0.1903335545354552, + 0.16885671514303188, + 0.14945537494934494, + 0.13220969447552333, + 0.11713610329923535, + 0.10418879186522868, + 0.09326280452882756, + 0.08419863728422561, + 0.0767882058934555, + 0.07078201595119422, + 0.06589733664547644, + 0.061827155343426324, + 0.05824967125265709, + 0.05483807374612832, + 0.051270344797419695, + 0.04723882549677325, + 0.04245929378051056, + 0.0366793141152557, + 0.02968563957962886, + 0.02131047207260362, + 0.011436416602252895, + 1.1389416848591065e-16 + ], + [ + 0, + -0.01430380575772152, + -0.030170990165832707, + -0.047463201519106345, + -0.06598901275316961, + -0.08550920397669608, + -0.10574341473458106, + -0.12637799077989825, + -0.14707481856810253, + -0.16748091439058438, + -0.18723851470878553, + -0.20599540035795555, + -0.22341518022218282, + -0.23918725992897297, + -0.2530362280853917, + -0.2647304064148345, + -0.2740893305171598, + -0.2809899543639742, + -0.28537140340184797, + -0.28723813747974936, + -0.2866614248372377, + -0.28377907108730804, + -0.2787933914336594, + -0.2719674591656408, + -0.26361970764967785, + -0.2541170054715131, + -0.24386636400827041, + -0.23330547252036776, + -0.22289228694096072, + -0.21309392411118738, + -0.20437513260511062, + -0.19718662400362158, + -0.19195355417154034, + -0.18906444260070254, + -0.1888608092162707, + -0.1916277923945603, + -0.19758598967292854, + -0.2068847342754483, + -0.2195969868141326, + -0.23571598317182849, + -0.25515373756251813, + -0.2777414551230678, + -0.30323186221016635, + -0.33130341599025825, + -0.3615663090640048, + -0.39357014088946884, + -0.4268130867452396, + -0.4607523579204725, + -0.4948157146521101, + -0.5284137668499717, + -0.5609527775193017, + -0.5918476705137956, + -0.620534938168476, + -0.6464851456332675, + -0.66921473733649, + -0.6882968667545664, + -0.7033709931763666, + -0.7141510178880752, + -0.7204317664744004, + -0.7220936629054424, + -0.7191054838110058, + -0.7115251267984064, + -0.6994983737417181, + -0.683255677515845, + -0.6631070475119334, + -0.639435154312347, + -0.6126868160291437, + -0.5833630669969145, + -0.5520080428327654, + -0.5191969435264819, + -0.48552335753521275, + -0.45158624431746014, + -0.41797688000748257, + -0.38526607083599784, + -0.3539919314602203, + -0.3246485107689229, + -0.2976755263454232, + -0.2734494411375757, + -0.25227608268640184, + -0.2343849673266638, + -0.21992545003145195, + -0.2089647760585394, + -0.20148806436506017, + -0.19740020602451788, + -0.1965296147528823, + -0.19863372225819118, + -0.20340606955520563, + -0.210484807646153, + -0.21946238797660292, + -0.22989619562913283, + -0.241319856974866, + -0.253254938967823, + -0.2652227497755907, + -0.2767559501535801, + -0.28740969187138027, + -0.29677201339283177, + -0.30447324352766936, + -0.31019419037951423, + -0.3136729249302556, + -0.3147100052088956, + -0.31317202726593885, + -0.3089934320951377, + -0.30217654213204276, + -0.29278984589555324, + -0.28096459359801723, + -0.2668898090239685, + -0.25080586260677795, + -0.23299678642894583, + -0.21378154294588275, + -0.19350448481502175, + -0.17252526267118704, + -0.15120845054903065, + -0.12991316460407917, + -0.10898294968947912, + -0.08873620024695929, + -0.06945736708491365, + -0.051389180331348525, + -0.03472609171276923, + -0.019609107016758182, + -0.006122142970137682, + 0.005709997261131737, + 0.01592197815188872, + 0.024606607391421276, + 0.031911868771478134, + 0.03803639119574515, + 0.0432234735923851, + 0.04775382343271294, + 0.05193720046313535, + 0.056103186280633634, + 0.06059132378330781, + 0.0657408877070847, + 0.07188055797408226, + 0.07931827115128366, + 0.08833152184858022, + 0.09915837544847515, + 0.11198943640683576, + 0.1269609929152873, + 0.1441495295502894, + 0.16356776537532622, + 0.18516233666120743, + 0.20881320190087338, + 0.23433480315676053, + 0.261478973083718, + 0.28993953234060493, + 0.3193584786611467, + 0.34933362769445425, + 0.3794275278878039, + 0.409177438128049, + 0.438106128437962, + 0.46573324146771056, + 0.49158693641329265, + 0.5152155277568842, + 0.5361988291128309, + 0.5541589175543639, + 0.5687700459884337, + 0.5797674501606728, + 0.5869548222610619, + 0.590210254255546, + 0.5894904902377559, + 0.5848333674001313, + 0.5763583686829672, + 0.5642652557108233, + 0.5488307971521276, + 0.5304036539968802, + 0.5093975282984565, + 0.48628272455770627, + 0.4615763120877175, + 0.4358311114162379, + 0.40962375719776845, + 0.38354211348626616, + 0.35817233397637305, + 0.33408586953292785, + 0.31182672774379994, + 0.2918992842777877, + 0.27475693361596193, + 0.2607918475380257, + 0.2503260840433641, + 0.24360425778735803, + 0.2407879463807432, + 0.24195196592254772, + 0.24708260490957362, + 0.2560778592613365, + 0.26874966374654, + 0.28482806774896724, + 0.303967257218257, + 0.32575328093454914, + 0.34971329893755165, + 0.3753261351075316, + 0.4020338853073329, + 0.42925430793994923, + 0.4563937058367552, + 0.4828599974963568, + 0.5080756720989859, + 0.5314903265036289, + 0.5525924934907128, + 0.5709204885601687, + 0.5860720271799073, + 0.5977123948904363, + 0.6055809883499911, + 0.6094960853680778, + 0.6093577452368176, + 0.6051487861625626, + 0.5969338332056171, + 0.584856476708918, + 0.5691346265955447, + 0.5500541910294069, + 0.5279612477114694, + 0.5032529115578669, + 0.47636713281699883, + 0.4477716841003068, + 0.4179526127431837, + 0.3874024459571766, + 0.3566084401326383, + 0.32604116233027197, + 0.2961436815675216, + 0.267321630244628, + 0.2399343724175004, + 0.214287486219484, + 0.19062673331312635, + 0.16913364969055117, + 0.14992285041250106, + 0.1330410970340366, + 0.11846813161183732, + 0.10611923644986429, + 0.09584943523713925, + 0.08745921005106812, + 0.08070157086912459, + 0.07529028069233139, + 0.07090901096805392, + 0.06722117940964738, + 0.06388020610172072, + 0.060539914346536494, + 0.05686480027303037, + 0.05253989984271976, + 0.047279993416877907, + 0.04083790619353213, + 0.03301168711185674, + 0.02365047863193133, + 0.012658924367792326, + 1.2568205290437706e-16 + ], + [ + 0, + -0.01564439621961945, + -0.03287555871959342, + -0.05151884074455709, + -0.07134657604801083, + -0.09208445802681911, + -0.11341926037397883, + -0.13500769520603795, + -0.15648617449455368, + -0.1774812164770758, + -0.1976202211611119, + -0.21654232851752275, + -0.23390906976387182, + -0.2494145263553873, + -0.26279472283683447, + -0.27383599828390254, + -0.28238212622140585, + -0.28833998402523225, + -0.29168360912233693, + -0.2924565198934687, + -0.29077222304293926, + -0.2868128752310514, + -0.28082611381376343, + -0.2731201184190812, + -0.26405701063065823, + -0.2540447420975377, + -0.24352766085628363, + -0.23297598053656413, + -0.2228744065345523, + -0.21371019642596437, + -0.20596094825147362, + -0.20008241940982222, + -0.19649668048622748, + -0.19558090236011805, + -0.1976570614995697, + -0.20298282776841178, + -0.21174387183230325, + -0.22404779600503666, + -0.23991985392920323, + -0.2593005817701571, + -0.28204541766073155, + -0.307926338090247, + -0.3366354909632439, + -0.3677907563646717, + -0.40094311885790473, + -0.43558569057507235, + -0.4711641835375704, + -0.5070885935801056, + -0.5427458278404533, + -0.5775129837779589, + -0.6107709706989305, + -0.6419181552268551, + -0.6703837103084199, + -0.6956403532519234, + -0.7172161718225798, + -0.7347052582513783, + -0.747776898653458, + -0.7561830991336495, + -0.7597642689651801, + -0.7584529247156616, + -0.7522753260076296, + -0.7413510026024113, + -0.7258901824952323, + -0.7061891804908292, + -0.6826238550820897, + -0.655641287204081, + -0.6257498764706753, + -0.5935080878005158, + -0.5595121129990456, + -0.5243827371182186, + -0.48875171765661957, + -0.4532479954539204, + -0.4184840592211644, + -0.38504278096773986, + -0.3534650272627891, + -0.32423833161611, + -0.2977868867735952, + -0.27446308305410133, + -0.25454078081846604, + -0.2382104626974201, + -0.22557636536144593, + -0.21665564252098662, + -0.2113795616824978, + -0.20959668816110502, + -0.21107796216512195, + -0.21552352958701557, + -0.22257114556123092, + -0.2318059328920527, + -0.24277124600887898, + -0.2549803659283731, + -0.26792873339299983, + -0.2811064163423394, + -0.2940105044047801, + -0.3061571272328653, + -0.3170928051172843, + -0.32640485908888706, + -0.3337306331646224, + -0.3387653128570836, + -0.34126816074525057, + -0.34106703086530754, + -0.3380610678895874, + -0.3322215434048215, + -0.3235908289132298, + -0.31227955227502524, + -0.2984620300102182, + -0.2823701110397809, + -0.264285606995775, + -0.2445315191836645, + -0.22346230177149146, + -0.20145342408181224, + -0.17889051140169726, + -0.1561583531025353, + -0.1336300688540452, + -0.11165671829069981, + -0.09055762679500741, + -0.07061168043449387, + -0.05204981703560329, + -0.03504890856686592, + -0.01972719324881087, + -0.006141375046193208, + 0.005714535533530956, + 0.01590861100128566, + 0.024568644762748077, + 0.03187810108049183, + 0.03807048506877522, + 0.04342228208397327, + 0.048244653476999015, + 0.05287410850796829, + 0.05766239945097905, + 0.06296590784218363, + 0.06913480390968843, + 0.07650226810343898, + 0.08537406313253339, + 0.09601873701763924, + 0.10865872256461426, + 0.12346257673076841, + 0.14053857512847912, + 0.15992984309208572, + 0.18161116616473702, + 0.2054875805043742, + 0.2313947986212627, + 0.2591014791728147, + 0.28831330242629327, + 0.3186787666409537, + 0.3497965761860833, + 0.3812244508223921, + 0.41248914827959743, + 0.44309746001087114, + 0.47254791361954046, + 0.500342895614523, + 0.526000895376427, + 0.5490685658490465, + 0.5691322986703607, + 0.5858290211944779, + 0.598855939915072, + 0.6079789787831026, + 0.6130396912455776, + 0.6139604607874435, + 0.6107478454641196, + 0.603493966376669, + 0.5923758871790623, + 0.5776529803627357, + 0.5596623250431181, + 0.5388122290709566, + 0.5155740143224389, + 0.4904722468493424, + 0.46407363213342184, + 0.4369748290313208, + 0.40978946328706733, + 0.38313464204631614, + 0.35761728411187244, + 0.3338205863931974, + 0.3122909449690702, + 0.29352563943779497, + 0.27796157199846316, + 0.26596532839826, + 0.2578247970775941, + 0.25374254628936577, + 0.25383111754501225, + 0.2581103484519582, + 0.2665067899538578, + 0.27885523333385576, + 0.29490231229877223, + 0.3143120962452213, + 0.3366735436138099, + 0.36150964021155246, + 0.3882880075948471, + 0.4164327320209866, + 0.4453371359326921, + 0.47437719212678764, + 0.5029252661988256, + 0.5303638658964644, + 0.5560990768148782, + 0.5795733723971731, + 0.6002775022414683, + 0.6177611858601736, + 0.631642368708548, + 0.6416148327618845, + 0.6474539942958871, + 0.6490207658154349, + 0.6462634061915195, + 0.6392173318451139, + 0.6280029110619371, + 0.6128213120259869, + 0.5939485217353819, + 0.5717276964742661, + 0.5465600439000526, + 0.5188944711106487, + 0.4892162614534926, + 0.4580350646470035, + 0.42587249948914746, + 0.39324967568835223, + 0.360674941014331, + 0.32863215206518315, + 0.2975697517037298, + 0.2678909140337838, + 0.23994498924056287, + 0.21402044643980353, + 0.19033947373724208, + 0.16905435198009347, + 0.15024567326297242, + 0.1339224282755156, + 0.12002393922685609, + 0.10842356853936261, + 0.09893408893422707, + 0.09131455904645921, + 0.085278511339224, + 0.08050322676489739, + 0.0766398441423736, + 0.07332403223884061, + 0.0701869395473483, + 0.06686613105094902, + 0.06301622298832793, + 0.05831893572633496, + 0.05249230105842014, + 0.04529878316251647, + 0.03655210147727289, + 0.026122578148348688, + 0.013940871578885045, + 1.3795209405752768e-16 + ], + [ + 0, + -0.017020284662137737, + -0.035630321304380486, + -0.05561776157230751, + -0.07671806099932178, + -0.09862197899210992, + -0.12098436987428275, + -0.1434340320098636, + -0.16558435392313897, + -0.18704447489312015, + -0.2074306632800015, + -0.22637760920661398, + -0.24354932934824886, + -0.2586493904622973, + -0.27143017470278996, + -0.281700933312111, + -0.2893344053809441, + -0.2942718142703542, + -0.2965260951023471, + -0.29618325142802926, + -0.2934017866570423, + -0.28841020488817304, + -0.28150262518703617, + -0.273032601869508, + -0.2634052897461388, + -0.25306813639059084, + -0.2425003222216245, + -0.23220120254792703, + -0.22267803286473295, + -0.21443327891080796, + -0.20795182576506882, + -0.203688405239654, + -0.20205555785966697, + -0.20341243485565214, + -0.20805472707621103, + -0.21620598198897595, + -0.2280105375927144, + -0.24352826389131305, + -0.2627312595077043, + -0.2855026040919347, + -0.3116372175496524, + -0.34084482600188093, + -0.3727549830399521, + -0.4069240445251552, + -0.44284394714232106, + -0.47995259633782394, + -0.5176456292599618, + -0.5552892838672139, + -0.5922340773365751, + -0.6278289759920465, + -0.6614357257108372, + -0.692443006492777, + -0.720280077741928, + -0.7444295917539359, + -0.7644392716751872, + -0.7799321763550748, + -0.7906153074235632, + -0.7962863527997344, + -0.7968384047330425, + -0.7922625383339331, + -0.7826481872029392, + -0.7681813049869367, + -0.749140354208663, + -0.7258902152540165, + -0.6988741577079192, + -0.6686040621052289, + -0.6356491214938109, + -0.6006232879895764, + -0.5641717588711876, + -0.5269568190058027, + -0.4896433709821149, + -0.45288449090617605, + -0.4173073462388604, + -0.38349980237051334, + -0.35199802708675343, + -0.3232753771195544, + -0.29773281922166955, + -0.27569110043752826, + -0.2573848394039878, + -0.24295866365680407, + -0.2324654681975481, + -0.22586681921348614, + -0.22303547510048558, + -0.2237599460841973, + -0.227750965011296, + -0.2346496964792283, + -0.2440374704944017, + -0.2554467912883487, + -0.26837334263666834, + -0.2822886887173938, + -0.29665335474068394, + -0.3109299646209103, + -0.3245961139906046, + -0.3371566658210053, + -0.3481551725668096, + -0.35718415265422265, + -0.3638939796635305, + -0.3680001789389604, + -0.3692889676649242, + -0.3676209196335921, + -0.36293268385492855, + -0.35523673562163277, + -0.3446191883972917, + -0.3312357437009477, + -0.3153059027962314, + -0.2971056072957612, + -0.2769585146849216, + -0.2552261482889155, + -0.23229718852504427, + -0.20857619272706682, + -0.18447204390233404, + -0.16038643417281367, + -0.13670268623907922, + -0.11377520606886214, + -0.09191984241980661, + -0.07140540421760651, + -0.0524465558591762, + -0.03519827398870778, + -0.01975200813472996, + -0.006133642846981377, + 0.005696688228912398, + 0.01584293435398856, + 0.024469652265689847, + 0.031796817070966966, + 0.0380930580764295, + 0.043667499478778106, + 0.04886042255030347, + 0.054032997133383304, + 0.05955635510932111, + 0.06580029639420586, + 0.07312192847652031, + 0.0818545432734022, + 0.09229703006390182, + 0.10470411057322757, + 0.11927766223983406, + 0.13615936879081061, + 0.1554249041471939, + 0.17707981720308885, + 0.20105724213073195, + 0.22721751263009773, + 0.25534971012424523, + 0.2851751265152419, + 0.3163525730013091, + 0.3484854188509338, + 0.3811301991353299, + 0.4138065893731657, + 0.4460085088830233, + 0.4772160842918917, + 0.5069081808914081, + 0.5345751929836434, + 0.5597317754532223, + 0.5819291977906426, + 0.6007670087254227, + 0.61590371436175, + 0.6270661949042513, + 0.6340576141914904, + 0.6367636116208419, + 0.6351566067949371, + 0.6292980923562917, + 0.6193388389012211, + 0.6055169863912637, + 0.5881540478699733, + 0.5676489022811617, + 0.5444699025146773, + 0.5191452712595311, + 0.4922519996717819, + 0.4644035012136265, + 0.43623630436132793, + 0.40839609242973895, + 0.3815234159033977, + 0.356239411962114, + 0.333131867099263, + 0.312741951807844, + 0.29555194140722, + 0.28197421455252136, + 0.2723417913466427, + 0.26690063697405375, + 0.26580391526525066, + 0.2691083305857631, + 0.2767726470399743, + 0.2886584223873029, + 0.3045329415401574, + 0.3240742823265654, + 0.34687839562431194, + 0.37246803423750335, + 0.4003033211505453, + 0.4297937091207683, + 0.46031105089684715, + 0.49120347346654686, + 0.5218097312679654, + 0.5514737026853381, + 0.5795586916431675, + 0.6054612017612644, + 0.6286238641892117, + 0.6485472215564212, + 0.6648000989206124, + 0.6770283274663531, + 0.6849616271329192, + 0.6884184993384213, + 0.6873090294059232, + 0.6816355489951171, + 0.6714911605544445, + 0.6570561772651019, + 0.6385925818904634, + 0.6164366551520649, + 0.5909899675761493, + 0.5627089671406528, + 0.5320934275731306, + 0.49967404802381415, + 0.465999513449137, + 0.43162333595448993, + 0.39709080031723604, + 0.3629263318953654, + 0.32962159227509785, + 0.2976245876673309, + 0.26733004775829644, + 0.23907129915604727, + 0.21311381860686504, + 0.18965060777256934, + 0.16879948465666195, + 0.15060233791998898, + 0.13502634056208943, + 0.12196707000935518, + 0.11125343378181912, + 0.10265425480112099, + 0.09588632917618753, + 0.09062373298408423, + 0.08650812405053347, + 0.08315976077977738, + 0.08018894327330979, + 0.07720757271786248, + 0.07384052353128505, + 0.069736529051637, + 0.06457829546537458, + 0.05809157982931355, + 0.05005299590065647, + 0.04029634533442234, + 0.02871731077278408, + 0.015276390442690893, + 1.5063995523025282e-16 + ], + [ + 0, + -0.018422838601824258, + -0.03841668785720666, + -0.05973057440279993, + -0.08206295490209783, + -0.10507034546581318, + -0.12837716880915562, + -0.15158655755614087, + -0.17429182660770526, + -0.19608830933506594, + -0.21658524201028057, + -0.23541737861382667, + -0.2522560240325134, + -0.26681918754339046, + -0.2788805800319918, + -0.28827720708431004, + -0.29491534520913754, + -0.29877472911608927, + -0.2999108231791563, + -0.298455098824938, + -0.2946132903803042, + -0.2886616536207174, + -0.28094130257723127, + -0.271850749794024, + -0.2618368219256407, + -0.2513841651413206, + -0.24100359218092945, + -0.23121955412891013, + -0.22255704423689657, + -0.2155282578017145, + -0.21061934075092206, + -0.20827755995951489, + -0.2088992203812579, + -0.21281863799546055, + -0.2202984537169746, + -0.23152154235993064, + -0.2465847332305642, + -0.2654945158598174, + -0.2881648568202776, + -0.31441720266638595, + -0.34398269103894313, + -0.3765065381864682, + -0.41155451790090264, + -0.448621395457198, + -0.4871411318559133, + -0.5264986296915659, + -0.566042753398931, + -0.6051003244258748, + -0.64299076685027, + -0.6790410617306639, + -0.7126006594953684, + -0.7430559991699233, + -0.769844291248348, + -0.7924662373494586, + -0.8104973840820118, + -0.8235978401916603, + -0.8315201243180103, + -0.8341149546277409, + -0.8313348401462671, + -0.8232353856081812, + -0.809974275823175, + -0.791807960592763, + -0.7690861157757632, + -0.7422440088603027, + -0.7117929470742218, + -0.6783090314467201, + -0.642420480219764, + -0.604793818628202, + -0.5661192585088555, + -0.5270956098235124, + -0.488415076542493, + -0.45074829119113125, + -0.41472993567605987, + -0.38094528095600966, + -0.34991795508209445, + -0.3220992186797329, + -0.2978589898340754, + -0.27747881749081493, + -0.2611469549521566, + -0.2489556340040397, + -0.24090058691089253, + -0.2368828092665693, + -0.23671250282444242, + -0.24011508526361527, + -0.2467391046554661, + -0.25616585137309206, + -0.2679204204284384, + -0.28148394368867613, + -0.296306684919949, + -0.31182167176282155, + -0.3274585279990005, + -0.34265716706132837, + -0.3568810137000585, + -0.3696294348721964, + -0.3804490828887885, + -0.38894388306627364, + -0.39478343383259246, + -0.39770962852763203, + -0.3975413539647438, + -0.39417717002928476, + -0.38759592594331765, + -0.3778553210342258, + -0.36508846960192676, + -0.349498579491459, + -0.3313519009982518, + -0.31096914559270644, + -0.2887156115856938, + -0.2649902853365818, + -0.24021421115584016, + -0.21481844007519799, + -0.1892318767397949, + -0.1638693446083728, + -0.13912018242384822, + -0.11533766973684775, + -0.09282955652785685, + -0.07184994226777996, + -0.05259271384491662, + -0.035186710586762475, + -0.01969273916823396, + -0.006102512680224785, + 0.00566046223293889, + 0.01573807719238211, + 0.024332970094488926, + 0.03170215475664159, + 0.038149102631557234, + 0.04401448764510501, + 0.049665840436452384, + 0.055486387208095955, + 0.06186337028805555, + 0.0691761618053787, + 0.07778448821230119, + 0.08801708158147754, + 0.10016106369898624, + 0.1144523512017105, + 0.13106734480777116, + 0.15011613368497106, + 0.1716374079906337, + 0.1955952295448957, + 0.22187776354516622, + 0.25029802437051235, + 0.28059663711202054, + 0.3124465647908218, + 0.34545970059031045, + 0.37919517611067793, + 0.41316919187404344, + 0.4468661362030543, + 0.4797507241861866, + 0.5112808606100023, + 0.5409209102013259, + 0.5681550458185646, + 0.5925003407054841, + 0.6135192747135243, + 0.6308313364442806, + 0.6441234232907043, + 0.6531587688933259, + 0.6577841619180984, + 0.6579352604754136, + 0.6536398519541848, + 0.6450189574322794, + 0.6322857319365497, + 0.6157421653840306, + 0.595773642723439, + 0.5728414742901272, + 0.5474735573919162, + 0.5202533764205445, + 0.49180759018613707, + 0.4627924906702129, + 0.43387964610061497, + 0.40574106244858643, + 0.37903421059743403, + 0.35438727119408436, + 0.3323849454353192, + 0.31355516783471143, + 0.2983570366467444, + 0.2871702495749401, + 0.280286297332977, + 0.27790162640678057, + 0.2801129359780045, + 0.2869147235392292, + 0.2981991404823991, + 0.31375816416803926, + 0.33328803801509793, + 0.35639587732642897, + 0.3826082871918222, + 0.4113817911382571, + 0.44211482638381255, + 0.4741610246368994, + 0.5068434672607112, + 0.5394695810220203, + 0.5713463261072149, + 0.6017953219624705, + 0.6301675589389903, + 0.6558573546279329, + 0.6783152328758006, + 0.697059430301099, + 0.711685769019948, + 0.7218756743927317, + 0.7274021619350376, + 0.7281336669766753, + 0.7240356429854288, + 0.7151699084118697, + 0.7016917761346354, + 0.6838450527643752, + 0.6619550458993331, + 0.6364197646767988, + 0.6076995414834949, + 0.5763053394445803, + 0.5427860404195969, + 0.5077150309746027, + 0.4716764186368097, + 0.4352512173312352, + 0.39900383911337883, + 0.3634692192198018, + 0.3291408833381841, + 0.29646024032596496, + 0.2658073510447282, + 0.23749338535823455, + 0.21175493564577977, + 0.18875030751420976, + 0.16855785795225178, + 0.15117639922698978, + 0.13652763467647286, + 0.12446054150855344, + 0.11475756704813021, + 0.10714245979496723, + 0.10128951628205021, + 0.09683399005996655, + 0.09338338103137869, + 0.09052930251066611, + 0.08785961029375192, + 0.08497047300313802, + 0.08147806613146855, + 0.07702958344631629, + 0.07131327843928055, + 0.06406727480880185, + 0.055086917880533375, + 0.04423047754848258, + 0.03142305677696072, + 0.016658606830725214, + 1.636727741140378e-16 + ], + [ + 0, + -0.019842716107258795, + -0.041214914707715586, + -0.0638265870508466, + -0.08733960828749228, + -0.11137748858151005, + -0.13553624546805698, + -0.15939610802717472, + -0.18253374114694362, + -0.20453466383115837, + -0.22500552953331154, + -0.243585939032728, + -0.2599594673568881, + -0.27386360543030835, + -0.28509834402240747, + -0.29353316150744335, + -0.2991122170935963, + -0.30185759652316974, + -0.30187050665707393, + -0.2993303675957406, + -0.2944918047438015, + -0.2876795971453931, + -0.2792816911423794, + -0.2697404386080613, + -0.2595422654137161, + -0.24920601721669322, + -0.2392702650609043, + -0.2302798817460966, + -0.2227722207152803, + -0.21726324178415002, + -0.21423393205013372, + -0.2141173656423879, + -0.21728673269438806, + -0.22404464633892163, + -0.2346140071496477, + -0.24913066798727587, + -0.26763809953285633, + -0.2900842089428487, + -0.316320412208348, + -0.34610300621374185, + -0.37909683050833043, + -0.41488115280567217, + -0.452957657590525, + -0.49276036529246, + -0.5336672615641507, + -0.5750133734709341, + -0.6161049929201392, + -0.6562347183459047, + -0.6946969642545469, + -0.7308035752706671, + -0.7638991771419656, + -0.793375901882253, + -0.8186871377604966, + -0.8393599768647617, + -0.8550060629614062, + -0.8653305796127553, + -0.8701391621135262, + -0.8693425657033395, + -0.8629589755249859, + -0.8511138996391698, + -0.8340376437196882, + -0.812060423445089, + -0.7856052266780957, + -0.7551785909185615, + -0.7213595109310468, + -0.6847867356831842, + -0.6461447517116635, + -0.6061487808381051, + -0.5655291430422339, + -0.5250153497141441, + -0.48532029810765426, + -0.4471249344761437, + -0.4110637411826057, + -0.37771138234582646, + -0.34757081383219346, + -0.32106312734137055, + -0.29851935585603345, + -0.2801744198792099, + -0.26616334184621626, + -0.25651980115114087, + -0.25117704571965516, + -0.2499711193756727, + -0.25264630877639727, + -0.2588626607834141, + -0.26820537208600914, + -0.28019580888865314, + -0.29430387658273216, + -0.3099614284553457, + -0.3265763793825014, + -0.3435471756541072, + -0.36027726592143944, + -0.3761892208673587, + -0.3907381604814995, + -0.40342416746854737, + -0.41380339281254325, + -0.42149759415566146, + -0.4262018885420533, + -0.4276905471890576, + -0.4258207101146204, + -0.42053395140852384, + -0.4118556803564297, + -0.3998924181469426, + -0.3848270431504574, + -0.36691214842635805, + -0.3464617019316666, + -0.3238412417075963, + -0.2994568740764811, + -0.27374337170918356, + -0.2471516896164942, + -0.22013623016365463, + -0.19314219279667802, + -0.1665933402066984, + -0.1408805002630978, + -0.11635110254809847, + -0.09330002025845444, + -0.07196195332692967, + -0.052505547751993266, + -0.03502940035180944, + -0.019560048644147964, + -0.006051993556485284, + 0.005610250488717317, + 0.015608136540169683, + 0.024183207001588734, + 0.03162951490166494, + 0.03828454754968078, + 0.04451889490507291, + 0.050724938115492474, + 0.05730485975754528, + 0.0646582956804905, + 0.07316995853286655, + 0.08319756477840182, + 0.09506039022645835, + 0.10902876397368406, + 0.12531478754787465, + 0.14406453553378162, + 0.16535195680234563, + 0.1891746525862837, + 0.21545166011798095, + 0.24402331956053155, + 0.2746532487985437, + 0.30703239664786597, + 0.3407850915521856, + 0.375476951208325, + 0.4106244701059562, + 0.44570605790923284, + 0.48017426306794087, + 0.5134688840089313, + 0.5450306455489157, + 0.5743151014304436, + 0.6008064155592322, + 0.6240306748497851, + 0.6435683955887658, + 0.6590659027073437, + 0.6702452869087356, + 0.6769126776177234, + 0.6789646094103917, + 0.6763923049826911, + 0.669283747719708, + 0.6578234703113588, + 0.6422900413154469, + 0.6230512877327634, + 0.6005573471474248, + 0.5753316964292378, + 0.5479603540714749, + 0.5190794987054124, + 0.4893617860621129, + 0.45950167965100525, + 0.4302001358673061, + 0.40214900148357247, + 0.37601549008324836, + 0.35242710372616737, + 0.331957356985503, + 0.31511264266875344, + 0.3023205524513013, + 0.2939199319327957, + 0.29015290908431923, + 0.29115908866694085, + 0.29697205409265154, + 0.3075182636062972, + 0.32261837091757145, + 0.341990942884611, + 0.36525848994407145, + 0.3919556700808057, + 0.42153947556864274, + 0.453401164746053, + 0.4868796598575347, + 0.521276097494216, + 0.5558691912407764, + 0.5899310474301915, + 0.6227430648712616, + 0.6536115482820841, + 0.6818826729533289, + 0.7069564546769339, + 0.7282994037945911, + 0.7454555747283118, + 0.7580557617471063, + 0.7658246370262238, + 0.7685856771515782, + 0.766263777879165, + 0.758885512858728, + 0.7465770488015357, + 0.7295597858231415, + 0.7081438460481948, + 0.6827195846995788, + 0.6537473445639503, + 0.6217457157981691, + 0.5872785975244703, + 0.5509413847292454, + 0.5133466229885288, + 0.47510948405081116, + 0.4368334170832922, + 0.3990963234169636, + 0.3624375871103307, + 0.32734627000471106, + 0.294250748779031, + 0.2635100336277214, + 0.23540696454537782, + 0.2101434329103871, + 0.1878377243345012, + 0.1685240248863761, + 0.15215407815473458, + 0.13860092655819864, + 0.1276646181832256, + 0.11907971153742726, + 0.11252436615784611, + 0.1076307681139515, + 0.10399660705374549, + 0.10119729635440614, + 0.09879861076787184, + 0.09636940710891104, + 0.09349409322121809, + 0.08978451866433877, + 0.08489097706534478, + 0.07851203444071052, + 0.07040292938550811, + 0.06038232903736794, + 0.048337268179739344, + 0.03422614664471848, + 0.018079711093681786, + 1.7696995801236642e-16 + ], + [ + 0, + -0.02126997445721784, + -0.04400434144914805, + -0.06787418314933377, + -0.09250576140164318, + -0.11749136599339048, + -0.14240116452440194, + -0.16679573782088614, + -0.19023896632348736, + -0.21231092292617976, + -0.23262042661749036, + -0.25081691901651604, + -0.2666013423186278, + -0.27973572186617945, + -0.290051188925683, + -0.2974542184788897, + -0.3019309019415731, + -0.3035491245818698, + -0.30245857077005434, + -0.2988885357139527, + -0.29314357862266094, + -0.28559710787805725, + -0.27668304237477853, + -0.2668857433597671, + -0.2567284565899377, + -0.24676054427336702, + -0.23754381905188726, + -0.22963831737650284, + -0.2235878663676451, + -0.21990580619309577, + -0.2190612289091529, + -0.22146608459160602, + -0.22746348665366892, + -0.23731752094937927, + -0.25120482824352564, + -0.2692081877367007, + -0.2913122815830911, + -0.31740176789332286, + -0.3472617338583746, + -0.3805805427339312, + -0.4169550299118125, + -0.45589794561886077, + -0.49684748634906073, + -0.5391787053243355, + -0.5822165453789995, + -0.6252501968397305, + -0.6675484492463677, + -0.7083756799755926, + -0.747008105641847, + -0.7827499139995993, + -0.8149488951786407, + -0.8430112014422974, + -0.8664148840332192, + -0.8847218836063245, + -0.897588186577047, + -0.904771902573696, + -0.9061390670410366, + -0.9016670267153192, + -0.8914453228773359, + -0.8756740466009098, + -0.8546597002080087, + -0.8288086583593783, + -0.798618379210694, + -0.7646665694620884, + -0.7275985556248812, + -0.6881131562447337, + -0.6469473851255538, + -0.6048603429377878, + -0.562616673307935, + -0.5209699691246324, + -0.48064651513376916, + -0.44232974393265695, + -0.40664576444029404, + -0.37415029526859456, + -0.3453173008100135, + -0.32052958614656, + -0.30007155910311306, + -0.28412431509106156, + -0.2727631441121378, + -0.26595750079847746, + -0.26357341908780024, + -0.26537829452296274, + -0.2710479006552512, + -0.28017545299848157, + -0.2922824857160654, + -0.30683126389555315, + -0.3232384188961398, + -0.34088946669178044, + -0.35915385002939004, + -0.3774001350210618, + -0.3950109917136816, + -0.4113975962248573, + -0.42601310897133027, + -0.4383649088959487, + -0.4480252967646752, + -0.4546404207073777, + -0.4579372231963468, + -0.4577282594312924, + -0.4539142913498902, + -0.44648461784644117, + -0.4355151588457341, + -0.42116436721843636, + -0.40366709673315454, + -0.3833266049695596, + -0.36050491610738555, + -0.3356118086191995, + -0.3090927261413728, + -0.28141593536200005, + -0.25305927202488004, + -0.22449682469226262, + -0.19618590554243484, + -0.16855464823149172, + -0.14199055497484953, + -0.11683028897243361, + -0.09335097478558509, + -0.07176322913434183, + -0.052206098847398665, + -0.03474403252983793, + -0.019365959192429897, + -0.005986491966028445, + 0.005550780495074562, + 0.015468006827030754, + 0.024045934011272897, + 0.03161510909659656, + 0.03854565747383215, + 0.04523591099997345, + 0.05210018968084379, + 0.05955606325869531, + 0.06801143333356674, + 0.07785178220500588, + 0.08942793130374166, + 0.1030446399643088, + 0.1189503546644818, + 0.1373283902351168, + 0.158289788635898, + 0.18186805859403002, + 0.2080159517714523, + 0.2366043793545961, + 0.26742351834785816, + 0.30018610076997404, + 0.33453282281273794, + 0.3700397562394189, + 0.4062275922595182, + 0.4425725001351551, + 0.47851834007099975, + 0.5134899336034323, + 0.5469070656677193, + 0.578198871535839, + 0.6068182494347875, + 0.6322559362139027, + 0.6540538890467689, + 0.6718176307192458, + 0.6852272392379177, + 0.6940466937453088, + 0.6981313273001819, + 0.6974331820400858, + 0.692004112495353, + 0.6819965371413841, + 0.6676617953282975, + 0.6493461251118663, + 0.6274843357895306, + 0.6025913056815694, + 0.5752514894871633, + 0.5461066690547255, + 0.5158422254052151, + 0.485172247239484, + 0.4548238210098374, + 0.4255208691905615, + 0.39796791609292775, + 0.3728341641051812, + 0.35073825749023296, + 0.33223409596422054, + 0.31779803655403954, + 0.3078177902544424, + 0.3025832805420113, + 0.30227968480481887, + 0.3069828283251731, + 0.3166570448544609, + 0.3311555593930809, + 0.35022338895429145, + 0.3735026973032724, + 0.4005404813760609, + 0.43079841171521266, + 0.4636645981568083, + 0.4984670064094436, + 0.5344882121874085, + 0.5709811481432038, + 0.6071854757489099, + 0.6423442000579832, + 0.675720140277375, + 0.7066118734072481, + 0.7343687817464057, + 0.7584048574741652, + 0.7782109482458741, + 0.7933651660178717, + 0.8035412262027524, + 0.8085145346407636, + 0.8081658945180439, + 0.8024827629245317, + 0.7915580458111996, + 0.7755864792310019, + 0.7548587024843494, + 0.729753183728772, + 0.70072620941571, + 0.6683001943514958, + 0.6330506081454691, + 0.5955918453686069, + 0.5565623901481199, + 0.5166096406172714, + 0.47637476429172954, + 0.43647795194421496, + 0.397504425015551, + 0.35999153037222154, + 0.32441722685364777, + 0.2911902313014339, + 0.2606420485647107, + 0.23302106142509454, + 0.20848880370644463, + 0.18711848435368247, + 0.16889577337288394, + 0.15372180364526009, + 0.14141828718088423, + 0.1317345917453271, + 0.12435657528209025, + 0.11891693236851776, + 0.1150067701498599, + 0.11218810170058306, + 0.11000692328485133, + 0.10800652904815651, + 0.10574071257344501, + 0.10278650955965558, + 0.09875614948627663, + 0.09330790615208893, + 0.08615556684643126, + 0.0770762768575617, + 0.0659165590982903, + 0.05259635673429924, + 0.03711099861013051, + 0.019531041661631398, + 1.9044408733663681e-16 + ], + [ + 0, + -0.02269418781509465, + -0.04676364248923884, + -0.0718412171638009, + -0.0975190852433307, + -0.12336064426840715, + -0.1489132789047544, + -0.17372164204967805, + -0.19734109886868917, + -0.21935097348894722, + -0.23936724222964603, + -0.2570543305477998, + -0.2721356929957583, + -0.28440288587652046, + -0.2937228801880443, + -0.3000434069217836, + -0.30339617671072433, + -0.3038978699566137, + -0.301748850545749, + -0.2972296146549261, + -0.2906950444833988, + -0.2825665935513745, + -0.27332258404478904, + -0.26348684619560875, + -0.2536159736083552, + -0.2442855056558411, + -0.23607537761490074, + -0.2295550003303197, + -0.2252683433254467, + -0.22371939808750402, + -0.22535839164260432, + -0.23056910463289337, + -0.23965762328073686, + -0.2528428214602105, + -0.27024882839080133, + -0.29189969020797163, + -0.31771638100091215, + -0.3475162621270357, + -0.3810150291081354, + -0.41783112464789607, + -0.45749253578226323, + -0.49944583437812107, + -0.5430672645871547, + -0.5876756298204664, + -0.6325466866049104, + -0.6769287144426814, + -0.7200589004796211, + -0.761180156160278, + -0.7995579706611889, + -0.8344969030740397, + -0.865356322148411, + -0.8915650187532359, + -0.9126343416969792, + -0.9281695415535417, + -0.9378790488592371, + -0.9415814614704425, + -0.9392100698310424, + -0.9308148070859825, + -0.9165615719798385, + -0.8967289348150332, + -0.8717022988974296, + -0.8419656503553251, + -0.8080910865103436, + -0.7707263657112624, + -0.730580768431901, + -0.6884095993421967, + -0.6449976920189211, + -0.6011423011953695, + -0.5576357813976786, + -0.515248455146967, + -0.47471206852403824, + -0.43670421693834777, + -0.40183409979043333, + -0.3706299299675003, + -0.34352828357569165, + -0.32086562799007917, + -0.30287221336014347, + -0.2896684554462625, + -0.2812638774876745, + -0.27755861718980224, + -0.27834744337738454, + -0.2833261668936436, + -0.292100273397773, + -0.3041955532089151, + -0.31907045653867866, + -0.3361298624775474, + -0.35473991791418724, + -0.37424357893749716, + -0.3939764727536107, + -0.4132826930719086, + -0.4315301463697833, + -0.44812508029370035, + -0.4625254483203835, + -0.47425279609065407, + -0.4829023937361697, + -0.4881513840557143, + -0.4897647674100353, + -0.4875990994067277, + -0.48160383545203644, + -0.4718203156011252, + -0.45837844235822744, + -0.44149116168580016, + -0.4214469120433991, + -0.39860025643746194, + -0.37336095698035027, + -0.34618178923204823, + -0.3175454237028431, + -0.2879507235956372, + -0.2578988206396868, + -0.22787933441524932, + -0.19835709482454342, + -0.16975971249519486, + -0.1424663183034339, + -0.11679776148976055, + -0.09300851682674705, + -0.0712805059865837, + -0.05171898780186027, + -0.03435061780184423, + -0.019123720619273518, + -0.005910761041677673, + 0.005487057906084266, + 0.0153331969592064, + 0.023947362002129664, + 0.03169549174083989, + 0.03897842030005333, + 0.046219518247919145, + 0.053851642634831914, + 0.06230374524856976, + 0.07198749795691589, + 0.08328429447802245, + 0.09653297916653772, + 0.11201863564065055, + 0.12996274173957204, + 0.15051496304668532, + 0.17374681589476584, + 0.19964738341925423, + 0.22812121602948593, + 0.25898849193551593, + 0.29198745550003824, + 0.3267790926370211, + 0.3629539447267384, + 0.40004090701927303, + 0.43751780565960346, + 0.47482350060267137, + 0.5113712209896929, + 0.5465628060689922, + 0.5798034993291684, + 0.6105169268327324, + 0.6381598832413654, + 0.6622365509277346, + 0.6823117888580623, + 0.6980231483546799, + 0.7090913019309746, + 0.7153286084382489, + 0.7166455818811956, + 0.7130550813742899, + 0.7046740946024723, + 0.6917230454717207, + 0.674522616956241, + 0.653488140983781, + 0.6291216670482737, + 0.6020018786195453, + 0.5727720799113883, + 0.5421265238430538, + 0.5107953938825044, + 0.47952878684609096, + 0.4490800697838963, + 0.4201890011425456, + 0.3935650140268471, + 0.3698710573693323, + 0.3497083791902309, + 0.333602615153696, + 0.3219915157932982, + 0.3152146078030389, + 0.3135050395825848, + 0.3169838098781526, + 0.32565652211663376, + 0.3394127472542021, + 0.35802801610352436, + 0.3811683996694431, + 0.40839757453028347, + 0.43918621124693735, + 0.47292346860161066, + 0.508930326504945, + 0.5464744468792043, + 0.5847862157833377, + 0.6230755923672127, + 0.660549371595952, + 0.6964284585187249, + 0.729964752384861, + 0.7604572491115406, + 0.7872669902227927, + 0.8098305149192463, + 0.8276715086949678, + 0.8404103859833095, + 0.8477715946017871, + 0.8495884850390494, + 0.8458056465268544, + 0.8364786729214571, + 0.8217713831851935, + 0.8019505821995011, + 0.7773785062667856, + 0.7485031525418427, + 0.7158467414399476, + 0.6799926045917875, + 0.6415708271056024, + 0.6012430008878987, + 0.5596864649031057, + 0.5175784180771512, + 0.47558029085847625, + 0.43432275226601513, + 0.39439171083607893, + 0.35631564071476013, + 0.3205545289319572, + 0.287490697536635, + 0.2574217058455952, + 0.23055548478301757, + 0.20700779850581438, + 0.18680206964556234, + 0.16987154502473753, + 0.15606372010848063, + 0.14514688419356125, + 0.13681859581222458, + 0.13071585034292582, + 0.12642666054673163, + 0.12350273670393803, + 0.12147292704399408, + 0.11985706187369408, + 0.118179836625387, + 0.11598437015156302, + 0.11284508493423435, + 0.10837957517507549, + 0.10225915647897985, + 0.09421782632163068, + 0.084059406789741, + 0.07166268911909286, + 0.05698445210565308, + 0.04006028219161385, + 0.02100318051509604, + 2.0400191725891298e-16 + ], + [ + 0, + -0.02410457256332321, + -0.049471090342046865, + -0.07569542134700412, + -0.10233773069203957, + -0.12893538144585115, + -0.1550165299482042, + -0.18011405175896433, + -0.20377942507994876, + -0.2255961987311017, + -0.2451926815769575, + -0.2622535094486001, + -0.27652977361689174, + -0.2878474310475967, + -0.2961137601048713, + -0.30132167497939927, + -0.30355176665748734, + -0.30297199634831845, + -0.2998350274874112, + -0.29447324321923823, + -0.28729155609788487, + -0.2787581741196892, + -0.2693935406631543, + -0.2597577141015712, + -0.25043649454472305, + -0.2420266392899756, + -0.23512053423936913, + -0.23029070509678062, + -0.22807455915296868, + -0.2289597456893752, + -0.233370510520244, + -0.241655398226115, + -0.2540766247253742, + -0.2708014037234356, + -0.2918954642160975, + -0.3173189437320391, + -0.34692478466146065, + -0.3804597002389739, + -0.41756771402281606, + -0.4577962135849656, + -0.5006043971564599, + -0.5453739326928995, + -0.5914215937069951, + -0.6380135866286798, + -0.6843812416354484, + -0.7297377039183551, + -0.7732952360933675, + -0.8142827256008921, + -0.8519629838959393, + -0.8856494272136366, + -0.9147217416498885, + -0.9386401579296183, + -0.9569579930118103, + -0.9693321558427649, + -0.9755313621510283, + -0.9754418570307057, + -0.9690705028805157, + -0.9565451526273361, + -0.9381122925503876, + -0.914132003870189, + -0.8850703559973832, + -0.8514894053993842, + -0.8140350309512744, + -0.7734228880065188, + -0.7304228080032231, + -0.6858420071296257, + -0.6405074955173711, + -0.5952480969372029, + -0.550876497594136, + -0.5081717411554479, + -0.46786257563947115, + -0.43061203653635693, + -0.397003620052884, + -0.3675293614259629, + -0.34258008679527424, + -0.3224380543080416, + -0.307272142247306, + -0.29713568045018746, + -0.29196695762321523, + -0.29159237292663365, + -0.2957321369591666, + -0.3040083665724999, + -0.3159553612592294, + -0.3310317975661597, + -0.34863453332844824, + -0.3681136765750259, + -0.38878854560596265, + -0.40996412765802476, + -0.43094763419582444, + -0.4510647513924402, + -0.4696751947495514, + -0.48618719676422656, + -0.5000705855520082, + -0.5108681496363291, + -0.5182050287604855, + -0.5217959214389143, + -0.5214499557560048, + -0.5170731292402772, + -0.5086682850023589, + -0.496332653191978, + -0.480253047658495, + -0.46069886597664234, + -0.43801309527657284, + -0.4126015752501861, + -0.384920812085456, + -0.3554646718647003, + -0.32475030830094437, + -0.2933036969410744, + -0.2616451557264487, + -0.2302752299003084, + -0.19966130775882668, + -0.1702253129711619, + -0.1423327896882472, + -0.11628365918348901, + -0.09230488228352715, + -0.0705452114912044, + -0.051072161759756915, + -0.03387127074492539, + -0.01884765951721411, + -0.00582984467893807, + 0.005424305877126462, + 0.015219637219976934, + 0.023914006949727857, + 0.03190708149833055, + 0.03962792996817546, + 0.047521747990578664, + 0.056036067238322995, + 0.06560682026327372, + 0.07664463488911318, + 0.08952172734652457, + 0.1045597488116825, + 0.12201891635555077, + 0.14208872711836887, + 0.16488051459344316, + 0.19042205923526895, + 0.218654413368071, + 0.24943104387279377, + 0.2825193367928483, + 0.3176044473147279, + 0.3542954180781034, + 0.39213342997843087, + 0.43060199403063026, + 0.4691388418743374, + 0.5071492274167627, + 0.5440203140794792, + 0.5791362921180925, + 0.6118938492969432, + 0.6417176063845819, + 0.668075126816875, + 0.6904911175386579, + 0.7085604553238669, + 0.7219596993894704, + 0.7304567862311965, + 0.7339186454744528, + 0.7323165251126394, + 0.7257288695888113, + 0.7143416534173442, + 0.6984461349858153, + 0.678434058299219, + 0.6547903931719776, + 0.6280837651868373, + 0.5989547841171126, + 0.5681025320249764, + 0.5362695185957564, + 0.5042254502887187, + 0.4727501905987555, + 0.44261631035433685, + 0.4145716389708477, + 0.3893222296168586, + 0.3675161432609369, + 0.3497284387208882, + 0.336447728551862, + 0.3280646245322214, + 0.32486235250151885, + 0.3270097654335903, + 0.3345569271196575, + 0.34743337806092656, + 0.36544913160267517, + 0.38829838352705565, + 0.4155658538362483, + 0.44673561687023333, + 0.4812022167378227, + 0.5182838107356872, + 0.5572370353091985, + 0.5972732483413118, + 0.6375757691311152, + 0.677317714128254, + 0.7156800128847328, + 0.7518691850966911, + 0.7851344661146141, + 0.8147838847331783, + 0.8401989230208742, + 0.8608474227707279, + 0.8762944459867607, + 0.8862108466103323, + 0.8903793662111051, + 0.8886981262548588, + 0.8811814523454385, + 0.8679580299821641, + 0.8492664553076217, + 0.8254483064821205, + 0.7969389201945166, + 0.7642561119724778, + 0.7279871270752014, + 0.6887741496756147, + 0.6472987307843127, + 0.6042655191545713, + 0.5603856936798121, + 0.5163605002309548, + 0.4728652904040696, + 0.4305344444261293, + 0.3899475359071987, + 0.3516170628693803, + 0.31597802837898453, + 0.28337960620356395, + 0.2540790734209568, + 0.22823813417072425, + 0.20592169820863732, + 0.18709911611807378, + 0.17164781149229652, + 0.1593591906624834, + 0.14994665409394245, + 0.14305548180760524, + 0.13827431938639784, + 0.1351479524253761, + 0.1331910266300174, + 0.13190234890507557, + 0.13077939223190496, + 0.12933262419573863, + 0.12709928574559723, + 0.12365626295539106, + 0.11863171977558312, + 0.11171519336431988, + 0.10266589469968634, + 0.09131900474736415, + 0.07758980927601294, + 0.06147557213102027, + 0.043055105953819325, + 0.02248605946609148, + 2.1754546616233264e-16 + ], + [ + 0, + -0.025490118842517805, + -0.0521048275647626, + -0.07940481979286701, + -0.1069208791231982, + -0.13416770146845794, + -0.1606582260246013, + -0.1859180907397223, + -0.20949982418969823, + -0.23099639174964803, + -0.25005372975273094, + -0.26638192655866855, + -0.2797647434859941, + -0.29006721054460727, + -0.2972410807879201, + -0.3013279816610105, + -0.3024601605828028, + -0.30085878368629776, + -0.29682980959804756, + -0.2907575227788885, + -0.2830958716901789, + -0.27435781435616713, + -0.26510292630978544, + -0.25592357210212474, + -0.24742998034444605, + -0.24023459263817795, + -0.23493607794353824, + -0.23210341537987458, + -0.23226044982179714, + -0.23587131588666954, + -0.24332710718589673, + -0.25493413946819077, + -0.27090411918930024, + -0.29134648399312074, + -0.3162631296771978, + -0.34554568070801334, + -0.37897539965666416, + -0.4162257665592469, + -0.4568676937538322, + -0.5003772768231449, + -0.5461459194852363, + -0.5934926111804366, + -0.6416780821705435, + -0.6899205135400596, + -0.7374124397555227, + -0.783338450396902, + -0.8268932761108136, + -0.8672998323036156, + -0.9038267929013847, + -0.9358052757077011, + -0.9626442402877384, + -0.9838442284459564, + -0.9990091155526574, + -1.0078555872960209, + -1.0102201097749528, + -1.0060632199142192, + -0.995471026545417, + -0.9786538786170677, + -0.9559422242674349, + -0.9277797512780713, + -0.8947139640991725, + -0.8573844136248285, + -0.8165088517124206, + -0.7728676317269191, + -0.7272867179486759, + -0.6806196995025743, + -0.6337292277511637, + -0.5874683092823478, + -0.5426618893981046, + -0.5000891533148524, + -0.46046695431440593, + -0.42443475028521915, + -0.3925413931546817, + -0.3652340705462004, + -0.3428496467117649, + -0.3256085916769936, + -0.31361162501807416, + -0.30683913530140733, + -0.30515336955850925, + -0.30830332087073686, + -0.31593217781950655, + -0.3275871387851742, + -0.34273133832925673, + -0.36075758352150356, + -0.38100355626745885, + -0.4027681044568885, + -0.4253282208790666, + -0.44795629489509525, + -0.4699372181323638, + -0.4905849320305074, + -0.5092580217264528, + -0.5253739870736549, + -0.5384218568651999, + -0.547972855669342, + -0.5536888829887796, + -0.5553286204510933, + -0.5527511430181646, + -0.5459169732552186, + -0.534886581947646, + -0.519816402192484, + -0.5009524859313503, + -0.4786219901961842, + -0.45322273366324684, + -0.42521111113658744, + -0.39508869315179984, + -0.3633878690351238, + -0.3306569137150722, + -0.29744487083820137, + -0.26428664700584076, + -0.2316887041935529, + -0.2001157198602252, + -0.16997855736461204, + -0.14162385378314127, + -0.11532548897891073, + -0.09127814991584259, + -0.0695931490164888, + -0.050296596232607946, + -0.03332996293731716, + -0.018553013319413024, + -0.005749017247938686, + 0.0053679008571085015, + 0.015143478257422344, + 0.023972346790065175, + 0.03228567795160392, + 0.040537772081655946, + 0.04919195141757996, + 0.058706135428084644, + 0.06951848576517493, + 0.08203350716781842, + 0.0966089797239642, + 0.11354407731705543, + 0.13306899735922365, + 0.15533638878697395, + 0.18041481971966358, + 0.20828447429823904, + 0.2388352113334681, + 0.27186705692872437, + 0.30709314072367117, + 0.3441450224072844, + 0.3825802932613589, + 0.4218922782836176, + 0.461521609403135, + 0.500869390838162, + 0.5393116350190607, + 0.5762146127993651, + 0.6109507358024614, + 0.6429145723774538, + 0.6715385922069228, + 0.6963082383156268, + 0.716775939013958, + 0.7325736958632852, + 0.7434239165177771, + 0.7491482024938956, + 0.749673850547903, + 0.7450378812197042, + 0.7353884678863644, + 0.7209837028941606, + 0.7021877024485894, + 0.6794641173320094, + 0.6533671805721345, + 0.6245304843153809, + 0.5936537348490808, + 0.5614877855550229, + 0.5288182912942165, + 0.4964483632230807, + 0.46518062942896365, + 0.435799123375164, + 0.40905142853018933, + 0.38563150354054976, + 0.3661635979649048, + 0.3511876442476071, + 0.3411464778456757, + 0.33637519504130825, + 0.3370929079911747, + 0.34339710019081, + 0.3552607241321015, + 0.37253211799377933, + 0.39493775130644687, + 0.42208774230181706, + 0.4534840237264471, + 0.48853097087843345, + 0.5265482470457087, + 0.5667855688129648, + 0.6084390481435992, + 0.6506687308415844, + 0.6926169228610414, + 0.7334268776402235, + 0.7722614096314381, + 0.8083210016673007, + 0.8408609866782343, + 0.8692074072331569, + 0.8927711888452919, + 0.911060304165224, + 0.9236896540592879, + 0.9303884469403202, + 0.9310049182195869, + 0.9255082958988788, + 0.9139879845483729, + 0.8966500065983031, + 0.8738108053811998, + 0.8458885770986971, + 0.8133923573252575, + 0.7769091403819789, + 0.7370893556412684, + 0.6946310624566486, + 0.6502632540516105, + 0.6047286796714645, + 0.558766603166094, + 0.5130959147435207, + 0.4683990009831001, + 0.4253067566436228, + 0.38438509091142026, + 0.34612324130110056, + 0.310924161452195, + 0.27909719574747854, + 0.25085319535722045, + 0.22630216845328746, + 0.20545349348721784, + 0.1882186601829601, + 0.17441643985953292, + 0.16378032643951485, + 0.15596803351167596, + 0.1505727824858306, + 0.14713607344689078, + 0.1451615948499595, + 0.1441299015647658, + 0.14351347361888683, + 0.1427917607099339, + 0.14146582031378807, + 0.13907216991413984, + 0.13519549617382828, + 0.1294798951764813, + 0.12163835737803057, + 0.11146025760714362, + 0.09881666314760462, + 0.08366333028079169, + 0.06604132020383774, + 0.0460752274309638, + 0.023969076053584327, + 2.309731784318241e-16 + ], + [ + 0, + -0.026839726757520364, + -0.05464314412194687, + -0.08293814463513531, + -0.11122928784885072, + -0.13901245223406888, + -0.16578978997462565, + -0.19108458319551125, + -0.2144556020002646, + -0.2355105767805158, + -0.2539184193166995, + -0.2694198586639647, + -0.28183619792531556, + -0.29107594575089824, + -0.29713913057087593, + -0.30011916480907064, + -0.30020218914576996, + -0.29766389171900093, + -0.2928638623397864, + -0.28623760570237733, + -0.2782863985785681, + -0.2695652325493086, + -0.26066913450895146, + -0.2522182006844068, + -0.24484171512729647, + -0.2391617496512922, + -0.23577665831703296, + -0.2352448853768001, + -0.23806950090097337, + -0.24468386320043206, + -0.25543878197588643, + -0.270591521460999, + -0.2902969395130285, + -0.3146010076917866, + -0.3434369000956073, + -0.37662377649335926, + -0.41386831963225873, + -0.45476901912889056, + -0.49882312673061135, + -0.5454361416389443, + -0.5939336216541685, + -0.6435750576948546, + -0.6935694972177174, + -0.7430925575126228, + -0.7913044338931146, + -0.8373684813535014, + -0.8804699319948894, + -0.9198343048612083, + -0.9547450699378861, + -0.9845601438513846, + -1.00872682090553, + -1.0267947788844631, + -1.038426843687237, + -1.0434072492620605, + -1.041647188213778, + -1.0331875124398764, + -1.0181985106558626, + -0.9969767590600391, + -0.9699391109728298, + -0.9376139593731169, + -0.9006299711856262, + -0.8597025523675261, + -0.8156183568331309, + -0.769218198728166, + -0.7213787653887557, + -0.6729935565760311, + -0.624953493580198, + -0.5781276491044077, + -0.5333445452966796, + -0.49137445299161214, + -0.4529131005096818, + -0.4185671658529042, + -0.38884188268262015, + -0.3641310391380317, + -0.3447095906143714, + -0.33072904448953594, + -0.32221570801550403, + -0.3190718218110166, + -0.32107953228709474, + -0.327907588594573, + -0.3391205849546471, + -0.3541905090942497, + -0.37251030341725394, + -0.3934090988080407, + -0.41616874271039467, + -0.44004121426554116, + -0.46426650050879403, + -0.48809049934513626, + -0.5107825174208397, + -0.5316519439873352, + -0.5500637050605641, + -0.5654521350072667, + -0.577332944295884, + -0.5853130114753189, + -0.5890977832422132, + -0.5884961273217071, + -0.5834225472901153, + -0.5738967347988688, + -0.5600405012610552, + -0.5420721962759786, + -0.520298782272339, + -0.4951057925045651, + -0.4669454512140022, + -0.43632327919354236, + -0.4037835440811082, + -0.36989394157495786, + -0.3352299107649286, + -0.30035899350952183, + -0.2658256441178518, + -0.23213688163743204, + -0.19974915318093595, + -0.16905674357245276, + -0.14038202501367072, + -0.11396779153038283, + -0.08997186791087544, + -0.06846412309312164, + -0.0494259550173018, + -0.03275224943242657, + -0.018255750667956223, + -0.005673719587893451, + 0.0053233055729091806, + 0.015120884524573571, + 0.024148473988139543, + 0.0328659792716981, + 0.041749419832950996, + 0.05127609374310548, + 0.06190963953030767, + 0.07408539721958869, + 0.08819646340890216, + 0.10458081809550045, + 0.12350987411768378, + 0.14517876417309586, + 0.16969863631413643, + 0.1970911777078385, + 0.22728552956452797, + 0.2601176949163394, + 0.29533247690374415, + 0.332587920018796, + 0.3714621620032129, + 0.4114625414441058, + 0.45203674713673997, + 0.49258574148929196, + 0.5324781429988424, + 0.5710657133394145, + 0.6076995638880166, + 0.6417466753724395, + 0.6726063133160431, + 0.699725921388998, + 0.7226160847013512, + 0.7408641752777726, + 0.7541463219672695, + 0.7622373861481218, + 0.7650186718453001, + 0.7624831531362953, + 0.7547380616563478, + 0.7420047411562123, + 0.7246157428377198, + 0.7030092029485002, + 0.6777206111833624, + 0.6493721431550283, + 0.6186597909554865, + 0.5863385811190759, + 0.553206217740079, + 0.5200855288776574, + 0.4878061256826427, + 0.45718570510928136, + 0.42901143807734327, + 0.40402188522950994, + 0.3828898719516751, + 0.3662067333210731, + 0.3544683086092883, + 0.3480630246318964, + 0.34726235857087495, + 0.3522139150728927, + 0.3629372907962861, + 0.37932283363572206, + 0.4011333351975423, + 0.4280086253996479, + 0.45947296902341417, + 0.49494509733258824, + 0.533750645120241, + 0.5751367062781314, + 0.6182881705979901, + 0.6623454622376213, + 0.7064232671447738, + 0.7496298135323348, + 0.7910862568010375, + 0.8299457184140762, + 0.8654115371809978, + 0.8967543109796415, + 0.9233273366485152, + 0.9445800948841162, + 0.9600694745143131, + 0.9694684853212701, + 0.9725722693090794, + 0.9693012854627224, + 0.9597016110297499, + 0.9439423715103427, + 0.9223103801750584, + 0.8952021343677068, + 0.8631133784753207, + 0.8266265007362145, + 0.7863960816227854, + 0.7431329541579696, + 0.6975871701810213, + 0.6505302904699575, + 0.6027374301978412, + 0.5549694941463281, + 0.5079560283840261, + 0.4623790969641463, + 0.41885856408736627, + 0.3779391248395698, + 0.3400793820034875, + 0.30564321371556846, + 0.27489361822457875, + 0.24798915917757114, + 0.2249830692867568, + 0.20582500355630845, + 0.1903653671343617, + 0.17836207894742265, + 0.1694895721586059, + 0.16334977765631872, + 0.15948478857974843, + 0.1573908635071669, + 0.1565333943602023, + 0.15636244307735678, + 0.15632843920776032, + 0.1558976290425244, + 0.15456687574680725, + 0.15187742893173403, + 0.14742731070874016, + 0.14088200275622145, + 0.13198316433414337, + 0.12055516334343655, + 0.10650926011239534, + 0.08984534513568801, + 0.07065119592891018, + 0.04909928286992473, + 0.02544121773650461, + 2.4418114816993366e-16 + ], + [ + 0, + -0.028142345647547067, + -0.057064756874943896, + -0.08626524937908106, + -0.11522582374071129, + -0.1434278391579347, + -0.1703674660418951, + -0.19557080203706967, + -0.21860824405021276, + -0.23910772736643657, + -0.25676647143862763, + -0.27136090974539384, + -0.28275452727614997, + -0.2909033825616883, + -0.29585915038419147, + -0.29776958488276867, + -0.2968763691181806, + -0.2935103846006906, + -0.2880845011152538, + -0.2810840517085934, + -0.27305521829809765, + -0.2645916084838862, + -0.25631935238834896, + -0.24888108847726992, + -0.24291923829952355, + -0.23905899111139878, + -0.23789142986746714, + -0.23995722976479916, + -0.24573134939303712, + -0.25560911281172916, + -0.26989404905574327, + -0.28878781441956264, + -0.31238247338604364, + -0.340655357448809, + -0.3734666587140639, + -0.4105598485874719, + -0.45156494269332464, + -0.4960045631427774, + -0.5433026800971157, + -0.592795847975117, + -0.6437466892848931, + -0.6953593224734032, + -0.7467963807946485, + -0.7971972282393096, + -0.8456969470769237, + -0.8914456503384717, + -0.9336276621617353, + -0.9714801096184501, + -1.0043104814521355, + -1.0315127318162727, + -1.0525815400845806, + -1.0671243803241486, + -1.0748711050586004, + -1.0756808062718228, + -1.0695457808025624, + -1.0565924957998136, + -1.037079521084357, + -1.0113924673623393, + -0.9800360405076317, + -0.9436233908350257, + -0.9028630007523997, + -0.858543412835645, + -0.8115161517864292, + -0.7626772366572585, + -0.7129477131162631, + -0.6632536585644014, + -0.6145061250525012, + -0.5675814858839527, + -0.5233026415141319, + -0.4824215191278777, + -0.44560326861708227, + -0.413412516372966, + -0.38630198836824026, + -0.36460375666037337, + -0.3485233001059032, + -0.3381365022899941, + -0.33338963910516783, + -0.3341023367844169, + -0.33997341025646804, + -0.35058942317490743, + -0.3654357465462389, + -0.3839098341095384, + -0.4053363809253069, + -0.4289839882599721, + -0.4540829238446486, + -0.4798435427490538, + -0.5054749209987055, + -0.5302032519646921, + -0.5532895644875506, + -0.5740463414044279, + -0.5918526471108646, + -0.6061674122317611, + -0.6165405713942258, + -0.6226218052743857, + -0.624166699139987, + -0.6210401954976987, + -0.6132172865409997, + -0.6007809611810351, + -0.5839174898071607, + -0.5629091958665549, + -0.5381249252375595, + -0.5100084806684676, + -0.4790653378739996, + -0.445848001014382, + -0.4109403872223528, + -0.374941651818884, + -0.3384498773467824, + -0.3020460502938334, + -0.2662787393845531, + -0.23164986887134106, + -0.19860194989320787, + -0.16750709348206694, + -0.13865808119967588, + -0.11226171490153135, + -0.08843460713781401, + -0.06720150974267443, + -0.048496211857044086, + -0.032164971659227444, + -0.017972380139776534, + -0.005609492023149659, + 0.005295999990071231, + 0.015167824617755574, + 0.024467747972838547, + 0.03368110674644705, + 0.04330164763672249, + 0.05381608049029575, + 0.06568876059335253, + 0.07934691285402148, + 0.09516679731868907, + 0.11346119189025303, + 0.1344685348538729, + 0.158344027697451, + 0.18515294879568148, + 0.21486637206122636, + 0.24735942307372802, + 0.28241214002704645, + 0.31971293972932596, + 0.3588646215422901, + 0.3993927762572064, + 0.4407564041429204, + 0.48236048835822765, + 0.5235702180731397, + 0.5637265113148746, + 0.6021624518826563, + 0.6382202285838031, + 0.671268149217464, + 0.7007172966017045, + 0.7260373996679483, + 0.746771509126805, + 0.7625490940648835, + 0.7730972124278782, + 0.7782494538010992, + 0.7779524061121341, + 0.7722694575534913, + 0.7613818096940425, + 0.7455866458276139, + 0.725292468417647, + 0.7010116893140849, + 0.6733506245143707, + 0.6429971099247693, + 0.6107060142428661, + 0.577282978238539, + 0.5435667550288737, + 0.5104105622829114, + 0.47866288373469235, + 0.44914817325017775, + 0.422647919566744, + 0.3998825235553771, + 0.3814944225708847, + 0.3680328685518357, + 0.35994072866843735, + 0.35754363039790205, + 0.3610417180614777, + 0.3705042264097233, + 0.38586701028107845, + 0.40693309929838195, + 0.4333762747114867, + 0.4647475935896074, + 0.5004847153651727, + 0.539923818941844, + 0.5823138368304639, + 0.626832677572682, + 0.6726050603977921, + 0.7187215477858627, + 0.7642583333106542, + 0.808297324495209, + 0.8499460538575498, + 0.888356956007543, + 0.9227455644577993, + 0.9524072083383641, + 0.9767318258014637, + 0.9952165566673619, + 1.007475830669654, + 1.013248728187236, + 1.012403456115725, + 1.0049388509220516, + 0.9909828922439877, + 0.9707882818982642, + 0.944725213101393, + 0.9132715213818982, + 0.8770004704501462, + 0.8365664816936023, + 0.7926891636422618, + 0.7461360365547239, + 0.6977043762839585, + 0.6482026201102289, + 0.5984317848540154, + 0.549167344150335, + 0.501141997397352, + 0.4550297379763652, + 0.41143159352591563, + 0.37086336723310565, + 0.3337456573929753, + 0.3003963741889855, + 0.2710259092303348, + 0.2457350464354094, + 0.2245156340493415, + 0.20725396864354126, + 0.19373677458238883, + 0.18365959832967332, + 0.17663737769304363, + 0.17221689313293373, + 0.16989076289686528, + 0.1691126070920623, + 0.16931297877024, + 0.16991564331765244, + 0.17035378131257903, + 0.17008569465590656, + 0.16860961105251882, + 0.1654772074103262, + 0.16030550776267433, + 0.15278685500290023, + 0.14269670692560565, + 0.12989906448897687, + 0.11434940238302829, + 0.09609503732886553, + 0.07527293638492923, + 0.05210503420209656, + 0.026891192960927655, + 2.5706438961648465e-16 + ], + [ + 0, + -0.029387114770940775, + -0.05934908784746175, + -0.08935751435556531, + -0.11887597848847052, + -0.1473760263716259, + -0.17435297738428132, + -0.199341148211366, + -0.22192807845723328, + -0.24176737178846688, + -0.2585898016584638, + -0.27221237482292804, + -0.28254509797453453, + -0.289595251597158, + -0.29346903908668115, + -0.2943705466960279, + -0.29259801923462525, + -0.2885375259357162, + -0.28265415874225636, + -0.27548096973561736, + -0.2676059139047025, + -0.25965711641277184, + -0.25228682861236595, + -0.24615447312696312, + -0.24190920442705274, + -0.24017242679125317, + -0.24152071593809832, + -0.24646958379509307, + -0.25545850797249514, + -0.26883761894087455, + -0.28685639935181695, + -0.30965470231882347, + -0.3372563399470854, + -0.3695654313224084, + -0.40636563206326287, + -0.44732229705630183, + -0.4919875558730116, + -0.5398082083863439, + -0.5901362780545831, + -0.6422419939549414, + -0.695328911584052, + -0.748550828221249, + -0.8010301026317724, + -0.8518769522297059, + -0.9002092744540993, + -0.9451725237145545, + -0.9859591712426834, + -1.0218272826725248, + -1.0521177670118145, + -1.0762698804230748, + -1.0938346082056432, + -1.104485597601483, + -1.1080273713547228, + -1.1044006159529745, + -1.0936844076174739, + -1.076095311710789, + -1.0519833655304742, + -1.0218250286465191, + -0.9862132572129658, + -0.9458449272783424, + -0.9015058953637137, + -0.8540540409289816, + -0.8044006834342134, + -0.7534908053513194, + -0.7022825407516871, + -0.6517264063005631, + -0.6027447572131985, + -0.556211944836306, + -0.5129356351606676, + -0.47363971917729997, + -0.438949207260175, + -0.40937745164630285, + -0.3853159847705429, + -0.36702719807964895, + -0.3546400175451518, + -0.34814866009267026, + -0.3474144813272837, + -0.3521708510645791, + -0.36203092107716034, + -0.37649808089285536, + -0.39497883410039825, + -0.41679777096752074, + -0.44121426462354973, + -0.46744047877067124, + -0.49466024580165935, + -0.5220483560007634, + -0.5487897916029061, + -0.5740984440189394, + -0.5972348683541828, + -0.6175226560277141, + -0.6343630431479081, + -0.6472474183724489, + -0.6557674481094379, + -0.6596225977344844, + -0.6586248934782801, + -0.652700839127327, + -0.641890472940908, + -0.6263436214439906, + -0.6063134762363579, + -0.582147685939095, + -0.5542772162476188, + -0.5232032852742898, + -0.48948272761046147, + -0.45371217768629546, + -0.41651149015501565, + -0.37850683152636744, + -0.3403138827391942, + -0.30252158668934503, + -0.2656768580897247, + -0.23027064588154175, + -0.19672570145020288, + -0.16538636008087415, + -0.13651058959347875, + -0.11026450029176216, + -0.08671944576979783, + -0.06585177638400622, + -0.04754523803898973, + -0.03159594010470889, + -0.01771974952464485, + -0.005561905179898, + 0.005291411062798911, + 0.015299861011578408, + 0.024954451628212894, + 0.03476214196707763, + 0.045229969712698506, + 0.05684912431748912, + 0.0700793956414834, + 0.08533441787954764, + 0.10296810865277028, + 0.12326267293556216, + 0.14641850174431995, + 0.17254624722396383, + 0.20166130014802125, + 0.23368083429467618, + 0.26842351622464644, + 0.3056119103284195, + 0.3448775393623279, + 0.38576849181460265, + 0.4277594010766703, + 0.4702635592238507, + 0.5126468718131938, + 0.5542433109223105, + 0.5943714829410939, + 0.6323518964379555, + 0.6675244945667482, + 0.6992660065160868, + 0.7270066737142237, + 0.750245918896085, + 0.7685665494414656, + 0.7816471200584724, + 0.7892721231084782, + 0.7913397266021921, + 0.7878668388807749, + 0.7789913437877526, + 0.7649714191454962, + 0.7461819228745277, + 0.7231079033688608, + 0.6963353619772533, + 0.666539463871786, + 0.634470457509857, + 0.6009376207204595, + 0.5667916017238949, + 0.5329055648635929, + 0.5001555824417849, + 0.46940073500105745, + 0.44146339213647723, + 0.41711014418815273, + 0.39703384196488556, + 0.38183717728048266, + 0.372018202115876, + 0.36795813948423056, + 0.36991178564587196, + 0.3780007424833369, + 0.39220965207590613, + 0.41238553442682213, + 0.4382402556216961, + 0.46935607922542266, + 0.5051941802702429, + 0.5451059305389434, + 0.5883466977265038, + 0.6340918410827977, + 0.6814545337604836, + 0.7295049985925943, + 0.7772907104629819, + 0.8238570956263208, + 0.8682682468352677, + 0.9096271732173631, + 0.9470951155055768, + 0.9799094801733108, + 1.0073999796902149, + 1.029002609670281, + 1.0442711460579506, + 1.052885905405222, + 1.0546595772643732, + 1.0495400081404547, + 1.0376098895918497, + 1.0190833771479595, + 0.9942997399217341, + 0.9637142113467201, + 0.9278862776467185, + 0.8874657008445509, + 0.8431766258777362, + 0.7958001654416479, + 0.7461558904699136, + 0.6950826778748275, + 0.6434193797565035, + 0.5919857794735686, + 0.5415642897563762, + 0.49288282672381356, + 0.4465992617982766, + 0.40328781192049373, + 0.36342767820657323, + 0.32739418553463717, + 0.2954526119500926, + 0.2677548288320605, + 0.2443388021688437, + 0.2251309338092963, + 0.20995115096898032, + 0.19852058432874725, + 0.19047161145232813, + 0.18535998454075425, + 0.18267871115658907, + 0.18187331472582727, + 0.1823580693796246, + 0.18353278181012966, + 0.1847996818025716, + 0.18557998321436386, + 0.18532968836771654, + 0.18355423079361297, + 0.17982158343143176, + 0.17377350091445798, + 0.16513461438814242, + 0.1537191541398016, + 0.1394351377155204, + 0.12228592757450243, + 0.10236913099678917, + 0.07987288417523265, + 0.055069630432630676, + 0.028307567587556676, + 2.6951813940619026e-16 + ], + [ + 0, + -0.030563503727266853, + -0.06147653791019192, + -0.09218823934586162, + -0.12214835911853543, + -0.15082369801283205, + -0.17771412577390144, + -0.2023677522199815, + -0.2243948395805208, + -0.2434800773738155, + -0.25939288285119333, + -0.27199544047280694, + -0.2812482517750798, + -0.2872130308848767, + -0.29005284922107444, + -0.2900295038785924, + -0.28749815602202533, + -0.2828993565102201, + -0.2767486441347973, + -0.26962396555600404, + -0.2621512236388048, + -0.25498831096107555, + -0.24880802650118175, + -0.24428030485019678, + -0.24205420791656085, + -0.2427401384467381, + -0.24689273250389995, + -0.2549948743451937, + -0.26744325222204846, + -0.2845358380832322, + -0.30646162883949524, + -0.33329293284984196, + -0.36498042392965, + -0.4013511179632143, + -0.44210935578022, + -0.4868408020878121, + -0.5350193957628597, + -0.5860171135476692, + -0.639116338975586, + -0.6935245629279996, + -0.7483910832238262, + -0.8028253195437025, + -0.8559163180787216, + -0.9067529886282639, + -0.954444596262678, + -0.9981410206530783, + -1.0370522990054174, + -1.0704669831815445, + -1.0977688677170103, + -1.1184516824418655, + -1.1321313903961028, + -1.1385557875782137, + -1.1376111644269093, + -1.1293258582790677, + -1.113870599689665, + -1.0915556316524024, + -1.0628246575702818, + -1.0282457494228932, + -0.9884994201193011, + -0.9443641317432676, + -0.8966995726395827, + -0.8464280895623586, + -0.7945147051092497, + -0.7419461843268009, + -0.6897096368719557, + -0.6387711519066432, + -0.5900549617264828, + -0.5444236170141771, + -0.5026596318882322, + -0.4654490211978461, + -0.4333671066730506, + -0.40686691370138384, + -0.38627041801325346, + -0.3717628329490849, + -0.3633900549319635, + -0.36105930906647743, + -0.3645429602774561, + -0.37348537995825126, + -0.38741268555543534, + -0.40574510263973607, + -0.42781163744872136, + -0.4528666941246168, + -0.48010822620555965, + -0.508696977429602, + -0.5377763433946371, + -0.5664923736289559, + -0.5940134334261779, + -0.619549056353301, + -0.6423675413305519, + -0.6618118820034715, + -0.6773136599123292, + -0.6884045855979595, + -0.6947254319366619, + -0.6960321701568762, + -0.6921991894985736, + -0.683219554570439, + -0.6692023283173271, + -0.6503670612940865, + -0.627035617845141, + -0.5996215750816085, + -0.568617489617189, + -0.5345803784170321, + -0.4981158025714076, + -0.45986097529479586, + -0.42046733718854307, + -0.3805830522793622, + -0.3408358773268851, + -0.3018168444395405, + -0.2640651734936429, + -0.22805479683721758, + -0.19418283516084012, + -0.16276031135441488, + -0.13400532997410022, + -0.108038885127271, + -0.08488339079461779, + -0.06446395659404608, + -0.046612360552089394, + -0.031073600394862105, + -0.017514837975758937, + -0.0055364894137742105, + 0.005314842106053089, + 0.015531941712954671, + 0.025631456011601442, + 0.036137682362910255, + 0.04756611061477347, + 0.06040716039940437, + 0.07511055251972353, + 0.09207073708345807, + 0.11161377430559645, + 0.1339860269569064, + 0.15934497721535174, + 0.18775242633969025, + 0.21917027449705764, + 0.2534590117769415, + 0.29037898158344455, + 0.32959440597814504, + 0.3706800909561288, + 0.41313065988869596, + 0.45637209722511873, + 0.49977532369201316, + 0.5426714702119142, + 0.5843684719632888, + 0.6241685675994669, + 0.6613862625779143, + 0.6953663005106803, + 0.7255011828440243, + 0.7512477851371824, + 0.7721426375751597, + 0.7878154676714373, + 0.7980006436719452, + 0.8025462069833915, + 0.8014202398056558, + 0.7947143786350542, + 0.7826443538402109, + 0.7655475083831843, + 0.7438773231666552, + 0.7181950505925359, + 0.6891586298806183, + 0.6575091257293472, + 0.6240549943088968, + 0.5896545358002389, + 0.555196939347013, + 0.5215823631936184, + 0.48970151900492365, + 0.46041524422418106, + 0.4345345494289567, + 0.4128016188818037, + 0.39587222202747757, + 0.3842999620332723, + 0.37852274535237757, + 0.37885180471902097, + 0.385463548199488, + 0.39839444036927324, + 0.417539049976141, + 0.44265132332273804, + 0.47334906588718134, + 0.5091215382632497, + 0.549339998205604, + 0.5932709502210302, + 0.6400917994696002, + 0.6889085493075731, + 0.7387751330176793, + 0.7887139313218013, + 0.8377369991050215, + 0.8848675080840547, + 0.9291609073310216, + 0.9697253107296457, + 1.0057406394151784, + 1.0364760775629933, + 1.0613054407977336, + 1.0797201069901092, + 1.091339218052968, + 1.0959169270991973, + 1.0933465363713035, + 1.083661445957364, + 1.0670329096467541, + 1.0437646704875765, + 1.0142846228276747, + 0.979133718045572, + 0.9389523960955982, + 0.894464882829861, + 0.8464617424220463, + 0.7957811139187769, + 0.7432890900376301, + 0.6898597141340806, + 0.6363550773688665, + 0.583605992408517, + 0.5323937026615191, + 0.4834330575545502, + 0.43735754542589766, + 0.3947065272505462, + 0.35591495783956706, + 0.3213058178005703, + 0.2910854109974296, + 0.2653416102213923, + 0.2440450600803286, + 0.22705327256386476, + 0.21411747917676052, + 0.20489203572540074, + 0.19894611346907615, + 0.1957773549463754, + 0.19482712571798652, + 0.19549695568017642, + 0.19716573640893795, + 0.1992072248425544, + 0.20100739887222877, + 0.20198121717232492, + 0.20158835366181058, + 0.19934750586191907, + 0.19484891534741336, + 0.18776478647439354, + 0.17785734537521838, + 0.16498434341510707, + 0.1491018763208695, + 0.13026446031672784, + 0.10862237805568972, + 0.0844163781063412, + 0.05796988044689204, + 0.02967890509229085, + 2.8143917532315726e-16 + ], + [ + 0, + -0.03166145093101665, + -0.06342875255806966, + -0.09473301854237806, + -0.12501514764537405, + -0.15374257247764192, + -0.18042532571726624, + -0.20463098983576908, + -0.22599812475088135, + -0.2442478066592108, + -0.2591929596126905, + -0.27074521797538703, + -0.2789191213075958, + -0.28383351187446537, + -0.2857100771354196, + -0.28486905341684293, + -0.2817221806376278, + -0.2767630695809668, + -0.2705552109705774, + -0.26371791779393533, + -0.25691054733487906, + -0.25081539582610723, + -0.24611969531403802, + -0.24349716829229076, + -0.24358961022040632, + -0.2469889728002268, + -0.2542204117270793, + -0.2657267417575827, + -0.281854709824895, + -0.3028434543514933, + -0.32881546688806607, + -0.3597703120114425, + -0.3955812945178782, + -0.4359951909938488, + -0.4806350876078069, + -0.5290062893017758, + -0.5805051893696639, + -0.634430914580698, + -0.6899994913780968, + -0.7463602149916453, + -0.8026138471416764, + -0.8578322207916855, + -0.9110787933198192, + -0.9614296634705021, + -1.0079945531890988, + -1.0499372533194604, + -1.086495042241765, + -1.1169966086313246, + -1.1408780431164531, + -1.157696507910058, + -1.1671412474257519, + -1.1690416651667366, + -1.1633722612895752, + -1.150254299520234, + -1.1299541497327965, + -1.1028783316038542, + -1.0695653634016307, + -1.0306745962416524, + -0.9869722861801535, + -0.93931522256454, + -0.8886322895054111, + -0.8359043867498968, + -0.7821431754158245, + -0.7283691420344968, + -0.6755894904649395, + -0.6247763750930841, + -0.5768459802244776, + -0.5326389299302663, + -0.49290248032186407, + -0.45827490310342145, + -0.4292724163408299, + -0.4062789569890069, + -0.3895390213393156, + -0.3791537258599953, + -0.3750801637064997, + -0.37713405336179123, + -0.3849955973525366, + -0.3982183926895595, + -0.4162411624564955, + -0.4384020115734764, + -0.4639548508009387, + -0.49208758294535465, + -0.5219416051864285, + -0.5526321524173267, + -0.5832689891561521, + -0.6129769523391949, + -0.6409158542372382, + -0.6662992736373052, + -0.68841179380139, + -0.7066242867659323, + -0.7204068942345031, + -0.7293394143584995, + -0.7331188696102067, + -0.7315641020762406, + -0.7246173170585954, + -0.7123425720057711, + -0.6949212836131391, + -0.6726448995477936, + -0.6459049508452316, + -0.6151807648743969, + -0.5810251753015694, + -0.5440486133157373, + -0.5049020023417522, + -0.4642589056447626, + -0.4227973919731744, + -0.38118208833793094, + -0.3400468811186594, + -0.29997870715460934, + -0.26150284584324046, + -0.22507008233175682, + -0.19104606170397598, + -0.15970309592362292, + -0.1312146206804893, + -0.10565242984318018, + -0.08298674271595292, + -0.0630890855667013, + -0.045737895806754185, + -0.030626686610846776, + -0.01737454345327044, + -0.005538663680502352, + 0.005371402632720441, + 0.015878196351339295, + 0.026519897401074168, + 0.03783342059740908, + 0.05033751437547607, + 0.06451631786060515, + 0.08080382026486282, + 0.09956964372449201, + 0.12110653697979934, + 0.1456199235891796, + 0.17321979576155203, + 0.20391518471026296, + 0.23761137219222073, + 0.2741099372683648, + 0.31311165908746735, + 0.3542222225044686, + 0.39696060046812315, + 0.4407699171964431, + 0.4850305309764054, + 0.5290750166346121, + 0.5722046768283563, + 0.6137071696069479, + 0.6528748082675445, + 0.6890230691996763, + 0.7215088347228477, + 0.7497479011268319, + 0.7732312971821911, + 0.7915399849604082, + 0.804357552261838, + 0.8114805533951268, + 0.8128262113326352, + 0.8084372580084598, + 0.7984837591657876, + 0.7832618439850643, + 0.7631893359122838, + 0.7387983577731856, + 0.7107250595037403, + 0.6796966887803214, + 0.6465162917023203, + 0.6120453907950345, + 0.5771850394552929, + 0.5428556942503283, + 0.5099763781303024, + 0.47944362781524247, + 0.4521107268377056, + 0.4287677217275009, + 0.41012270267895906, + 0.3967848021093473, + 0.38924932545384905, + 0.3878853792784916, + 0.3929263035099472, + 0.40446314868616745, + 0.42244136721916076, + 0.44666081147563175, + 0.4767790528742544, + 0.5123179570830706, + 0.5526733727043173, + 0.5971277164511433, + 0.6448651685656606, + 0.6949891297907042, + 0.7465415371125391, + 0.7985235910588724, + 0.8499174136500779, + 0.8997081339827655, + 0.946905888412252, + 0.9905672246353797, + 1.0298154135976518, + 1.0638591996973479, + 1.092009557581226, + 1.1136940719930044, + 1.1284686144656983, + 1.1360260557373376, + 1.1362018240224885, + 1.1289761949465151, + 1.114473277195469, + 1.0929567368412683, + 1.0648223809447643, + 1.030587795527381, + 0.9908793025241864, + 0.9464165632013689, + 0.8979952102187975, + 0.8464679357268045, + 0.792724497524311, + 0.7376711285536932, + 0.6822098463290203, + 0.6272181580457095, + 0.5735296441595258, + 0.5219158785071304, + 0.47307010721492154, + 0.4275930626265761, + 0.38598123344041285, + 0.34861784957505815, + 0.3157667715498857, + 0.28756940109722795, + 0.26404465414058775, + 0.2450919610601896, + 0.23049718421845358, + 0.21994127089162724, + 0.21301139282676063, + 0.20921426326606077, + 0.20799126993749054, + 0.20873501948187512, + 0.21080685611829209, + 0.21355489582601098, + 0.2163321074476374, + 0.21851397410721035, + 0.21951528210447002, + 0.21880560961367368, + 0.21592312341833353, + 0.21048633762086164, + 0.20220354260240345, + 0.19087967408278686, + 0.17642045937343895, + 0.15883374911697254, + 0.1382280161584065, + 0.114808076834952, + 0.08886816203903258, + 0.06078253407901881, + 0.030993908897352197, + 2.927271359114697e-16 + ], + [ + 0, + -0.032671498462169705, + -0.06518887652313904, + -0.09697009318366043, + -0.12745252404673246, + -0.1561098630087254, + -0.18246806594201315, + -0.20611990497745128, + -0.2267377375172145, + -0.24408413984356803, + -0.25802010998595076, + -0.26851060698709817, + -0.2756272622940459, + -0.27954817196171994, + -0.28055475385348705, + -0.2790257301466166, + -0.27542837027510875, + -0.27030720107179573, + -0.2642704574876163, + -0.2579746071732938, + -0.2521073338777111, + -0.24736940672270663, + -0.24445589386789, + -0.24403719905852467, + -0.2467404075175351, + -0.2531314233619413, + -0.2636983642632228, + -0.2788366508036332, + -0.29883618857559835, + -0.32387099147785015, + -0.35399153608503636, + -0.38912007083910777, + -0.4290490317541024, + -0.4734426401156167, + -0.5218416791743409, + -0.5736713680222687, + -0.6282521736560825, + -0.684813328594205, + -0.7425087531580435, + -0.8004350203606213, + -0.8576509488019237, + -0.9131983663747028, + -0.9661235560186238, + -1.0154988750360152, + -1.0604440321192499, + -1.1001465114548783, + -1.1338806509693822, + -1.161024911564991, + -1.181076915361823, + -1.193665882533919, + -1.1985621570632177, + -1.1956835801716104, + -1.1850985446701552, + -1.1670256421788294, + -1.14182989620621, + -1.110015655463433, + -1.072216301537241, + -1.0291810012177571, + -0.9817588045088678, + -0.9308804529155128, + -0.8775383174505597, + -0.8227649305940553, + -0.7676106100759825, + -0.7131206940186161, + -0.6603129161381841, + -0.6101554461454299, + -0.5635461042901587, + -0.5212932305644031, + -0.48409864911019856, + -0.45254311785139734, + -0.42707459352203414, + -0.40799957456220826, + -0.39547771045259, + -0.38951978776757695, + -0.38998912245756057, + -0.39660630659417495, + -0.4089571780103186, + -0.4265038048820423, + -0.4485982061883556, + -0.4744984648718895, + -0.5033868349576631, + -0.5343893982062782, + -0.5665967911733705, + -0.5990855006392366, + -0.6309392147893228, + -0.6612697194914395, + -0.6892368434434025, + -0.714066982462157, + -0.7350697710628503, + -0.7516525177642042, + -0.7633320780308848, + -0.7697439039756006, + -0.7706480812566266, + -0.7659322392362623, + -0.755611298525316, + -0.7398240985852824, + -0.71882702514275, + -0.6929848308801624, + -0.6627589113816976, + -0.6286933599445308, + -0.5913991781009577, + -0.5515370622350532, + -0.5097992194625909, + -0.4668906871892075, + -0.4235106399731269, + -0.38033416430100425, + -0.3379949667501185, + -0.2970694541719919, + -0.2580625866983638, + -0.2213958565211592, + -0.18739768876424, + -0.1562964967948377, + -0.12821655464739662, + -0.10317677562363241, + -0.081092410458095, + -0.06177960261608999, + -0.044962664240012676, + -0.030283865853832144, + -0.017315467953391273, + -0.005573664694130469, + 0.0054659394993147896, + 0.01635173918805771, + 0.027638870658859338, + 0.039871753097617736, + 0.05356689852870134, + 0.06919645415353354, + 0.08717292210711823, + 0.10783547158755541, + 0.1314382175566525, + 0.1581407897848898, + 0.18800145719094796, + 0.2209730066868115, + 0.2569015047417593, + 0.2955279954139219, + 0.3364931125472977, + 0.37934450811821013, + 0.4235469252550824, + 0.46849467511216053, + 0.5135262133138149, + 0.5579404557187151, + 0.6010144262145001, + 0.6420217923541645, + 0.6802518188434121, + 0.7150282548661054, + 0.7457276693808886, + 0.7717967589207918, + 0.7927681748574454, + 0.8082744510295188, + 0.8180596572696719, + 0.8219884586153093, + 0.8200523225331792, + 0.8123726857940501, + 0.7992009669970317, + 0.7809153883296832, + 0.7580146490414545, + 0.731108571349009, + 0.7009059151391528, + 0.6681996290047926, + 0.6338498700649311, + 0.5987651820550008, + 0.5638822688951524, + 0.5301448381439187, + 0.49848201447389917, + 0.4697868368966399, + 0.44489535454601997, + 0.42456682434141924, + 0.4094654900413771, + 0.4001443866177445, + 0.3970315673717096, + 0.4004190948897821, + 0.41045507215583915, + 0.4271389184606758, + 0.4503200179205738, + 0.4796997882976046, + 0.5148371363558445, + 0.5551571851736584, + 0.5999630806330771, + 0.6484506106309796, + 0.6997253032018759, + 0.7528216103534628, + 0.8067237344444552, + 0.8603876146000815, + 0.9127635629246468, + 0.9628190248094327, + 1.0095609348246837, + 1.0520571495925357, + 1.089456461419554, + 1.1210067307727885, + 1.1460707210705274, + 1.1641392746157626, + 1.1748415324709693, + 1.177951972091472, + 1.1733941128639438, + 1.1612408194712336, + 1.1417112142763646, + 1.115164290704623, + 1.0820893979349824, + 1.0430938411851427, + 0.9988879096924349, + 0.9502677045138567, + 0.8980961890446918, + 0.8432829254682159, + 0.7867629892401803, + 0.7294755705048693, + 0.6723427756575836, + 0.616249134042, + 0.5620222942407316, + 0.510415362126084, + 0.46209128961787355, + 0.4176096700466239, + 0.37741623448365547, + 0.3418352749227277, + 0.31106514649607725, + 0.2851769238229238, + 0.26411620804114766, + 0.24770800301596838, + 0.23566450358922783, + 0.22759556740057013, + 0.22302157653798171, + 0.2213883376653243, + 0.222083620740028, + 0.2244548981570309, + 0.22782781905914384, + 0.23152493828205473, + 0.23488421630040437, + 0.23727681565116487, + 0.2381237403678214, + 0.23691089740124885, + 0.23320220198381994, + 0.2266504013032713, + 0.2170053513482183, + 0.20411954882348843, + 0.1879507919041691, + 0.16856191847679597, + 0.1461176465056578, + 0.12087861633701417, + 0.09319280721202142, + 0.06348456816826152, + 0.032241565153861215, + 3.032858251807519e-16 + ], + [ + 0, + -0.03358492164925728, + -0.06674179407333047, + -0.09888067743003717, + -0.12944104714181062, + -0.15790867857376362, + -0.18383129199670104, + -0.20683253373868066, + -0.2266239121401795, + -0.24301435948989392, + -0.25591715220590655, + -0.2653539895999617, + -0.2714561049032641, + -0.2744623589887232, + -0.2747143454571616, + -0.2726486134845744, + -0.26878619008515686, + -0.2637196543210771, + -0.25809808068277745, + -0.25261022572347674, + -0.24796637960299478, + -0.244879341254181, + -0.24404500146675, + -0.2461230316107846, + -0.25171817662134033, + -0.26136263917519037, + -0.2755000179644347, + -0.29447122717206997, + -0.31850277753973544, + -0.347697742920206, + -0.3820296713059189, + -0.4213396276116688, + -0.4653364787297141, + -0.5136004514636909, + -0.5655899128615637, + -0.6206512422185689, + -0.6780315866039593, + -0.736894219109636, + -0.796336152940163, + -0.8554076066188644, + -0.9131328674301837, + -0.9685320629740525, + -1.0206433253262253, + -1.0685448194410356, + -1.1113761074530093, + -1.1483583334681593, + -1.178812739002171, + -1.2021770568276837, + -1.218019379744918, + -1.226049159521992, + -1.2261250585487498, + -1.2182594509835445, + -1.2026194495460938, + -1.1795244166925518, + -1.149440002691426, + -1.1129688360594017, + -1.0708380718914172, + -1.0238840788748478, + -0.9730346143753287, + -0.9192888972451332, + -0.8636960384613662, + -0.8073323291164295, + -0.7512779126940382, + -0.696593383300101, + -0.6442968532193617, + -0.5953420217949348, + -0.5505977534580473, + -0.5108296363618279, + -0.47668394538668163, + -0.4486743754534042, + -0.4271718445185483, + -0.4123975919630983, + -0.4044197191206757, + -0.40315323635444683, + -0.4083635973923054, + -0.4196736186087556, + -0.43657360062107925, + -0.4584343939000021, + -0.48452308091730834, + -0.5140208863391089, + -0.5460428753947317, + -0.5796589600397966, + -0.6139157038505947, + -0.6478584004057818, + -0.6805528965918968, + -0.7111066418553574, + -0.7386884666414391, + -0.7625466275252473, + -0.782024701970398, + -0.7965749710931719, + -0.8057689928642657, + -0.8093051392377133, + -0.8070129469784234, + -0.798854211562125, + -0.7849208344622661, + -0.7654295144072177, + -0.7407134507984675, + -0.7112113005079086, + -0.67745369591923, + -0.6400476907071355, + -0.599659549024162, + -0.5569963322923026, + -0.512786764747625, + -0.4677618736234879, + -0.4226359020507818, + -0.37808798238513697, + -0.3347450350382044, + -0.2931663235964459, + -0.25383005195050823, + -0.21712233449337326, + -0.183328807577307, + -0.15262908095254604, + -0.12509415361251608, + -0.10068684122766582, + -0.07926518412084498, + -0.06058872750197115, + -0.04432749139202433, + -0.030073378203383985, + -0.017353703059587867, + -0.005646477220115099, + 0.005602970194407717, + 0.01696448146439941, + 0.029005142734977268, + 0.042271422685680876, + 0.057271858792965376, + 0.0744607585856682, + 0.09422335729014632, + 0.11686283589577959, + 0.14258955588412492, + 0.1715128098602864, + 0.20363532254020789, + 0.2388506656166707, + 0.27694367474018755, + 0.31759387911045384, + 0.36038187594510745, + 0.4047985053555384, + 0.4502566078596015, + 0.49610507875993043, + 0.5416448726453869, + 0.5861465588893552, + 0.6288689865664662, + 0.6690785857867494, + 0.7060688128757358, + 0.7391792396386311, + 0.767813792354528, + 0.7914576640564361, + 0.8096924536553081, + 0.822209126848684, + 0.828818445518799, + 0.8294585732112271, + 0.8241996328033988, + 0.8132450669389318, + 0.7969297303829669, + 0.7757147242034804, + 0.7501790626031304, + 0.7210083423060852, + 0.6889806596761942, + 0.6549500903283347, + 0.6198281081523515, + 0.5845633738368512, + 0.5501203658165109, + 0.5174573579812483, + 0.4875042676693597, + 0.4611409039103044, + 0.43917613939056527, + 0.4223285103110618, + 0.411208716625884, + 0.40630445184482594, + 0.40796793767832035, + 0.4164064755979726, + 0.4316762564045061, + 0.45367959185653134, + 0.4821656511882458, + 0.5167347019074422, + 0.5568457706488733, + 0.601827558100784, + 0.6508923641192683, + 0.7031527069982443, + 0.7576402562349128, + 0.8133266426011386, + 0.8691456642578583, + 0.9240163741344024, + 0.9768665126569229, + 1.0266557416664548, + 1.072398140218768, + 1.1131834407848988, + 1.148196514736516, + 1.1767346581597793, + 1.19822228196276, + 1.2122226726294678, + 1.2184465603017125, + 1.2167573074188542, + 1.2071726120440094, + 1.1898627032784037, + 1.1651450897813946, + 1.1334760043346275, + 1.0954387656212088, + 1.0517293510341417, + 1.0031395396218499, + 0.9505380406449692, + 0.8948500693018369, + 0.8370358658793923, + 0.7780686770825787, + 0.7189127280714304, + 0.6605017105876522, + 0.6037182965967408, + 0.5493751585389537, + 0.4981979373072708, + 0.4508105484740152, + 0.40772315735110115, + 0.3693230857003982, + 0.3358688390102367, + 0.30748736506808244, + 0.284174574037566, + 0.2657990693923189, + 0.25210895987586646, + 0.2427415471062121, + 0.23723561339090904, + 0.2350459714879539, + 0.2355598839805127, + 0.23811491594863024, + 0.24201775178380078, + 0.2465634860875197, + 0.2510548901081697, + 0.2548211592762249, + 0.25723566395517095, + 0.2577322540829424, + 0.2558197081850918, + 0.251093967264552, + 0.24324785302830926, + 0.23207803629082396, + 0.2174890935062283, + 0.19949456539330973, + 0.1782150096006235, + 0.15387311733839346, + 0.12678603990591875, + 0.09735514314669037, + 0.06605347424679892, + 0.03341128427938393, + 3.13024486706819e-16 + ], + [ + 0, + -0.03439385179009143, + -0.06807435199169726, + -0.10044925332657507, + -0.1309659884038508, + -0.15912835964215033, + -0.1845117045864764, + -0.2067761246795618, + -0.22567741541342826, + -0.24107539501703457, + -0.25293939593571774, + -0.261350756633871, + -0.26650222885328234, + -0.26869429542451684, + -0.26832847403482585, + -0.26589776096963147, + -0.2619744437719579, + -0.2571955811016213, + -0.2522465100575989, + -0.2478427942689674, + -0.2447110688001236, + -0.2435692692490818, + -0.24510675152175304, + -0.2499648151239101, + -0.25871813622771545, + -0.27185759736683157, + -0.2897749688397322, + -0.3127498535117295, + -0.3409392527511039, + -0.37437004802845103, + -0.4129346217994848, + -0.45638976442433, + -0.5043589329472843, + -0.5563378445722866, + -0.6117033046787327, + -0.6697250882925481, + -0.7295806170747657, + -0.7903721030338082, + -0.8511457670836486, + -0.9109126868442625, + -0.9686707850720374, + -1.0234274389117104, + -1.0742221715845504, + -1.1201488826658608, + -1.1603770809317508, + -1.194171604716269, + -1.2209103483368142, + -1.2400995586271544, + -1.251386321878305, + -1.2545679271762245, + -1.2495978656554059, + -1.2365883047779183, + -1.2158089604653706, + -1.187682375720061, + -1.1527757001805943, + -1.11178914877369, + -1.0655413972038432, + -1.014952245521996, + -0.9610229466363039, + -0.9048146527677867, + -0.8474254781371954, + -0.7899667094884965, + -0.733538716593073, + -0.6792071221337462, + -0.6279797841612994, + -0.580785124799264, + -0.5384523065231797, + -0.5016937129489821, + -0.4710901357179049, + -0.4470790041154045, + -0.4299459210971855, + -0.41981969019936477, + -0.4166709343164302, + -0.42031432157786836, + -0.43041432763323073, + -0.4464943796591759, + -0.46794914737400195, + -0.49405967222885083, + -0.5240109595359074, + -0.5569116011964587, + -0.5918149502784329, + -0.6277413340721991, + -0.6637007702410801, + -0.6987156417844199, + -0.7318427909268294, + -0.7621945095914833, + -0.7889579343374793, + -0.8114123957599221, + -0.8289443252930279, + -0.8410593847826139, + -0.8473915545355282, + -0.8477089920475382, + -0.8419165543482835, + -0.8300549598708495, + -0.8122966488931381, + -0.7889384828472031, + -0.7603915001417859, + -0.7271680176844347, + -0.6898664312634614, + -0.6491541227894648, + -0.6057489267649716, + -0.5603996411762308, + -0.5138660885009905, + -0.46689924022669266, + -0.42022191302203427, + -0.3745105266723233, + -0.33037838356547683, + -0.2883608876975991, + -0.24890306893772157, + -0.2123497169922497, + -0.17893836070781005, + -0.1487952537990868, + -0.1219344496799638, + -0.09825996780035223, + -0.077570973780046, + -0.05956981771094431, + -0.04387270123890781, + -0.030022676298501322, + -0.017504618367200176, + -0.005761766343455591, + 0.005786619085052269, + 0.01772695541672183, + 0.030632889927899035, + 0.045047199918923544, + 0.06146452964760984, + 0.08031543043749594, + 0.1019521369041862, + 0.12663646754700786, + 0.1545301832323629, + 0.18568807372999416, + 0.2200539720531231, + 0.25745982067576556, + 0.29762783466744064, + 0.3401757263953832, + 0.3846248767316748, + 0.4304112606877253, + 0.47689886303578466, + 0.523395253607459, + 0.5691689342625897, + 0.6134680214758791, + 0.6555397913310831, + 0.6946505884101736, + 0.7301055872886754, + 0.7612678954570457, + 0.7875764995179162, + 0.808562582173404, + 0.8238637752120563, + 0.8332359625257231, + 0.8365623059474216, + 0.8338592339657932, + 0.8252792074887091, + 0.8111101559717233, + 0.7917715594412457, + 0.7678072351909094, + 0.7398749701462772, + 0.7087332190315985, + 0.6752251625590118, + 0.6402604870420421, + 0.6047953054253888, + 0.5698106882446582, + 0.5362903102519196, + 0.5051977434115942, + 0.4774539390327722, + 0.4539154406229951, + 0.4353538546151677, + 0.422437078750927, + 0.41571274823719756, + 0.4155943087689143, + 0.4223500643519148, + 0.4360954780395642, + 0.45678892690353334, + 0.48423103065610634, + 0.518067588319247, + 0.5577960712644988, + 0.6027755359256604, + 0.6522397375879937, + 0.7053131498835364, + 0.7610295248480784, + 0.8183525673280407, + 0.8761982466582656, + 0.9334582291101501, + 0.9890238875980767, + 1.041810331193035, + 1.0907798964666109, + 1.1349645555901744, + 1.1734867221273588, + 1.2055779739466732, + 1.2305952627041636, + 1.2480342396795883, + 1.2575393969188764, + 1.2589107989496044, + 1.2521072619307823, + 1.2372459219809577, + 1.2145982205287214, + 1.184582419748462, + 1.1477528434070687, + 1.1047861157546304, + 1.056464741568595, + 1.0036584324013171, + 0.9473036359923453, + 0.888381766445149, + 0.8278966611677445, + 0.7668518060756433, + 0.7062278728094816, + 0.6469611007112472, + 0.5899230323415574, + 0.535902075033934, + 0.48558731330069216, + 0.4395549390389285, + 0.3982575998925963, + 0.3620168924788012, + 0.33101914832499657, + 0.3053145782553117, + 0.2848197576514176, + 0.2693233525636671, + 0.25849490710351525, + 0.2518964378731218, + 0.2489965132218934, + 0.24918643553098221, + 0.2517980949716099, + 0.2561230244696675, + 0.26143215886777904, + 0.26699578713670025, + 0.2721031852647348, + 0.27608142913750555, + 0.27831291097955074, + 0.2782511191180763, + 0.2754342880053134, + 0.2694965823829163, + 0.2601765447308466, + 0.2473226070493509, + 0.2308955447466853, + 0.2109678300000347, + 0.18771992240548238, + 0.16143361399938308, + 0.1324826218141874, + 0.10132069210514467, + 0.06846754445904935, + 0.03449303955608977, + 3.2185903167018804e-16 + ], + [ + 0, + -0.03509139048347859, + -0.06917556241027943, + -0.10166383102964846, + -0.1320176142505793, + -0.15976474418722147, + -0.18451396921030808, + -0.20596725166231655, + -0.22392952329461152, + -0.2383156261391808, + -0.24915423927761737, + -0.256588669977727, + -0.2608744689616217, + -0.2623739120919448, + -0.2615474724254318, + -0.25894248531505676, + -0.2551792830444549, + -0.25093514247321425, + -0.24692644764957947, + -0.24388951780991378, + -0.2425605883828718, + -0.24365545758211732, + -0.24784932324117306, + -0.2557573333763009, + -0.2679163595478312, + -0.2847684747484684, + -0.3066465779242802, + -0.3337625562842708, + -0.36619831551669246, + -0.40389993839825034, + -0.4466751557675501, + -0.4941942323234763, + -0.5459942852183707, + -0.6014869680394187, + -0.6599693686309649, + -0.720637888400981, + -0.7826047952942942, + -0.8449170743927693, + -0.9065771408326289, + -0.9665649309075904, + -1.0238608500941804, + -1.0774690322465406, + -1.1264403530057128, + -1.169894642869382, + -1.2070415613533578, + -1.237199622891974, + -1.2598129068897852, + -1.2744650376602034, + -1.2808900835899961, + -1.2789800972188805, + -1.2687890972700075, + -1.2505333780846681, + -1.2245881193502122, + -1.191480357334537, + -1.1518784658993424, + -1.106578379232448, + -1.056486866472205, + -1.0026022392814562, + -0.9459929352300942, + -0.8877744710507042, + -0.829085299186915, + -0.7710621275935647, + -0.7148152758207095, + -0.6614046396976424, + -0.6118168224443059, + -0.5669439621284735, + -0.5275647447391484, + -0.4943280397527282, + -0.4677395322086296, + -0.4481516535212843, + -0.4357570342889514, + -0.4305856181450964, + -0.4325054882901293, + -0.44122736987182554, + -0.4563126840072328, + -0.47718494508374026, + -0.5031442140871275, + -0.5333842489930799, + -0.5670119304601344, + -0.6030684886896832, + -0.6405520166269442, + -0.6784407266318379, + -0.7157163930033992, + -0.751387421620951, + -0.7845110004588187, + -0.8142138104928324, + -0.8397108148742223, + -0.8603216942181374, + -0.8754845561745671, + -0.8847666166000208, + -0.8878716258959178, + -0.8846438955192153, + -0.87506886427338, + -0.8592702296506244, + -0.8375037540951202, + -0.8101479374988024, + -0.7776918235163656, + -0.7407202765173586, + -0.6998971264831128, + -0.6559466294282323, + -0.6096337297617327, + -0.5617436374703069, + -0.5130612464846833, + -0.46435092078399776, + -0.4163371617389562, + -0.3696866442599936, + -0.3249920711900586, + -0.2827582460556464, + -0.24339070503507285, + -0.2071871813370028, + -0.1743321008307053, + -0.14489422862275636, + -0.11882750434112387, + -0.09597502124186036, + -0.07607602298645341, + -0.05877571410236886, + -0.043637607700330365, + -0.030158068806354323, + -0.01778265531833217, + -0.005923812535305653, + 0.006020557408037114, + 0.018648152168070094, + 0.03253346226887952, + 0.04820960732775076, + 0.06615130542137022, + 0.0867594362834055, + 0.11034761786910659, + 0.13713116385307916, + 0.1672187281546483, + 0.2006068731635299, + 0.2371777227204909, + 0.27669978100417925, + 0.3188319163069158, + 0.36313042632847164, + 0.40905902116409687, + 0.4560014836525152, + 0.5032766961257764, + 0.5501556596651326, + 0.5958800783244035, + 0.6396820378124635, + 0.6808042769419074, + 0.7185205315702912, + 0.7521554252873238, + 0.7811033889127513, + 0.8048461118092523, + 0.8229680615976595, + 0.8351696542860702, + 0.8412777129900111, + 0.8412529189571835, + 0.8351940319099292, + 0.8233387359766154, + 0.8060610507422324, + 0.7838653321471282, + 0.7573769729864713, + 0.7273299954967168, + 0.6945518068959886, + 0.659945460813438, + 0.6244698314907162, + 0.5891181618567372, + 0.5548954896917905, + 0.5227954870085854, + 0.4937772656840276, + 0.4687427067952763, + 0.44851486189742534, + 0.433817951814934, + 0.4252594529237899, + 0.4233147132149352, + 0.4283144817901924, + 0.44043566725927435, + 0.45969556442759335, + 0.48594970653315034, + 0.5188934141019756, + 0.5580670233429584, + 0.6028646890430689, + 0.6525465712990024, + 0.7062541342227987, + 0.7630282099717683, + 0.821829414906567, + 0.8815604480043127, + 0.9410897562344228, + 0.999276018556485, + 1.0549928803325521, + 1.1071533637489264, + 1.154733387468263, + 1.1967938499972637, + 1.2325007656390206, + 1.2611429885632357, + 1.2821471183316073, + 1.2950892477474618, + 1.299703289508388, + 1.2958856999817203, + 1.2836965044974011, + 1.2633566167609744, + 1.2352415331812696, + 1.1998715689349586, + 1.1578988843615579, + 1.1100916258124813, + 1.0573155725369983, + 1.0005137389474699, + 0.9406844282781367, + 0.8788582681220798, + 0.8160747797878846, + 0.7533590413704615, + 0.6916989987218606, + 0.6320239593168643, + 0.575184771845094, + 0.5219361500562644, + 0.47292154406456105, + 0.4286608973786447, + 0.3895415549966824, + 0.35581250881535725, + 0.32758208332175837, + 0.30481907913906636, + 0.2873573066017627, + 0.2749033582583389, + 0.2670473900972572, + 0.263276608314603, + 0.26299109338224647, + 0.26552153762544284, + 0.2701484278303506, + 0.276122171653378, + 0.2826836465739634, + 0.28908464328016353, + 0.29460768183208486, + 0.2985846985090817, + 0.30041413338299633, + 0.2995759925282423, + 0.29564451324522284, + 0.2882981243375736, + 0.27732646471976774, + 0.26263430062571025, + 0.2442422624857338, + 0.22228440509087352, + 0.19700267688001702, + 0.16873846398930123, + 0.13792145007855863, + 0.10505610199489537, + 0.07070615230775928, + 0.03547750111680778, + 3.297132057972448e-16 + ], + [ + 0, + -0.03567171413132461, + -0.07003678288586532, + -0.10251617084882317, + -0.1325914129219556, + -0.15982036001812927, + -0.18385083366446073, + -0.20443181673553823, + -0.22142187126668977, + -0.23479454604673136, + -0.24464061464654951, + -0.25116706673310585, + -0.25469285986854595, + -0.2556415233654149, + -0.25453078802312434, + -0.25195949362022885, + -0.24859209789736866, + -0.24514117460549717, + -0.24234834238073905, + -0.24096410934845788, + -0.24172714933746456, + -0.2453435435867585, + -0.25246652636178524, + -0.2636772638116823, + -0.2794671728810463, + -0.30022225166381, + -0.3262098451013662, + -0.35756821153394125, + -0.3942991877403179, + -0.43626417441310683, + -0.4831835823803363, + -0.5346397943171949, + -0.5900836093148365, + -0.648844050656693, + -0.7101413326632503, + -0.7731027026122721, + -0.8367808005214106, + -0.900174114832169, + -0.9622490573905563, + -1.0219631379659482, + -1.0782886879896492, + -1.1302365660231624, + -1.176879274148528, + -1.2173729251333885, + -1.2509775246404966, + -1.2770750703647027, + -1.2951850199023711, + -1.304976740196672, + -1.3062786220889024, + -1.2990836221329378, + -1.2835510784907762, + -1.2600047363646258, + -1.2289270088768687, + -1.1909495893780868, + -1.1468406186461155, + -1.0974886931981183, + -1.0438840769486162, + -0.9870975458486978, + -0.928257352284176, + -0.8685248414922064, + -0.809069284961096, + -0.751042514902565, + -0.6955539489586415, + -0.6436465851987891, + -0.5962745243965953, + -0.5542825401106133, + -0.5183881681200001, + -0.48916672647769815, + -0.4670396073137547, + -0.45226610326127265, + -0.4449389468973519, + -0.4449836529527543, + -0.45216166240819144, + -0.4660771971707792, + -0.4861876460124499, + -0.5118172189926982, + -0.5421735307064612, + -0.5763667042559448, + -0.6134305294946296, + -0.6523451622347685, + -0.6920608168635168, + -0.7315218839837521, + -0.7696908977579653, + -0.805571784719861, + -0.8382318467152772, + -0.866821964789053, + -0.8905945573694323, + -0.9089188838346556, + -0.9212933520225628, + -0.9273545637702238, + -0.9268829142592256, + -0.9198046467570917, + -0.9061903521529272, + -0.8862499903077591, + -0.8603245955086251, + -0.8288749091252481, + -0.7924672569292518, + -0.7517570546234619, + -0.7074703813275363, + -0.6603841057102987, + -0.6113050820662278, + -0.5610489531306327, + -0.5104191023707606, + -0.4601862907730855, + -0.41106949200600373, + -0.3637184058430224, + -0.3186980837748768, + -0.27647604400842335, + -0.23741218700149108, + -0.20175174900279078, + -0.16962145162985087, + -0.1410289223421383, + -0.11586537585856126, + -0.09391146227376133, + -0.07484610597578842, + -0.058258082519568814, + -0.0436600103064188, + -0.03050437203084702, + -0.018201128940107097, + -0.006136450315152936, + 0.006307947755177493, + 0.019735375561023005, + 0.034715178106373035, + 0.05176469027298633, + 0.07133262584328005, + 0.09378435024052431, + 0.1193894380928716, + 0.14831185762809657, + 0.1806030559519993, + 0.21619814417260938, + 0.25491530100299314, + 0.2964584299391805, + 0.34042302048072526, + 0.38630508028343385, + 0.43351292472640895, + 0.48138153518123167, + 0.5291891292036784, + 0.576175526665306, + 0.6215618470208312, + 0.6645710357262923, + 0.7044486932513412, + 0.7404836688208446, + 0.7720278832986927, + 0.7985148614734203, + 0.8194764830635702, + 0.8345575033422541, + 0.8435274473818192, + 0.8462895452475492, + 0.8428864474722605, + 0.8335025390499429, + 0.8184627540484222, + 0.7982278796826662, + 0.7733864261596414, + 0.7446432246273763, + 0.7128049979908138, + 0.6787632261352295, + 0.643474696300269, + 0.6079401892332452, + 0.5731818008058294, + 0.5402194357545743, + 0.5100470341511264, + 0.48360910148981495, + 0.4617781096032919, + 0.44533331802948645, + 0.4349415343474069, + 0.43114028810153743, + 0.4343238372876308, + 0.4447323603111226, + 0.46244461144596966, + 0.4873742359293389, + 0.5192698539141073, + 0.5577189326808651, + 0.6021553759725314, + 0.6518706702670886, + 0.7060283424220063, + 0.7636814034954632, + 0.823792381622764, + 0.8852554843627395, + 0.9469203794590922, + 1.0076170437480705, + 1.066181103949349, + 1.1214790809410722, + 1.1724329511430547, + 1.2180434547679366, + 1.2574116105572761, + 1.289757939470011, + 1.3144389545896413, + 1.330960539925818, + 1.3389879152090178, + 1.3383519653968805, + 1.3290518004357077, + 1.3112535007327208, + 1.2852850946019898, + 1.251627903438036, + 1.2109044763685999, + 1.1638634165530337, + 1.1113614741755884, + 1.0543433447713295, + 0.9938196642846545, + 0.9308437329331652, + 0.8664875275680357, + 0.8018175761438618, + 0.7378712678319592, + 0.675634158271757, + 0.6160188018394969, + 0.5598456023393055, + 0.5078261212226317, + 0.4605492196400058, + 0.4184703389033493, + 0.3819041450837103, + 0.35102067945593574, + 0.32584506942028096, + 0.3062607665432039, + 0.29201619164617154, + 0.28273458357523684, + 0.2779267704594474, + 0.2770065118260689, + 0.2793079986105414, + 0.2841050473742138, + 0.2906314861510292, + 0.2981022032161123, + 0.3057343173149787, + 0.3127679287876886, + 0.3184859255021255, + 0.32223234517015087, + 0.32342883572656916, + 0.3215888069606251, + 0.316328928177012, + 0.3073776967514714, + 0.29458087924876764, + 0.27790370833589184, + 0.2574298029823981, + 0.2333568642597544, + 0.20598928228811336, + 0.17572786943027202, + 0.1430570086919019, + 0.10852957259284647, + 0.07275002485656333, + 0.03635616368728039, + 3.3651968076615236e-16 + ], + [ + 0, + -0.036130167273643744, + -0.07065187134919688, + -0.103001964072814, + -0.13268826266847558, + -0.15930454037133007, + -0.1825431510207604, + -0.20220494182958407, + -0.21820617880864518, + -0.23058228675760037, + -0.23948828837434943, + -0.24519591279616554, + -0.2480874305937267, + -0.24864635769769752, + -0.24744525277818613, + -0.2451309091358048, + -0.2424073112504352, + -0.24001678600623721, + -0.23871982773396905, + -0.2392741133171669, + -0.24241324772965403, + -0.24882579086497641, + -0.25913511308112636, + -0.2738806095624597, + -0.29350077278908926, + -0.3183185788349399, + -0.3485295879424351, + -0.3841930941927914, + -0.425226584716073, + -0.47140368759644385, + -0.5223557014339609, + -0.577576710560145, + -0.6364322003797056, + -0.6981709994534052, + -0.7619402909391224, + -0.8268033579705701, + -0.8917596574337397, + -0.9557667561655553, + -1.0177636143769864, + -1.076694664348973, + -1.1315341091129656, + -1.181309856527755, + -1.2251265091737107, + -1.2621868497249784, + -1.291811294498009, + -1.3134548339386451, + -1.3267210368042568, + -1.3313727633308763, + -1.3273393100944555, + -1.314719793705419, + -1.2937826698661663, + -1.2649613764968026, + -1.2288461823479808, + -1.1861724135084097, + -1.1378053172544143, + -1.0847219036509639, + -1.0279901782152372, + -0.9687462420086503, + -0.9081697871846945, + -0.8474585550191508, + -0.7878023488275832, + -0.7303572053059006, + -0.6762203244364625, + -0.6264063402624857, + -0.581825482979484, + -0.543264137698989, + -0.5113682480058284, + -0.4866299444516886, + -0.4693777010628941, + -0.45977023866966094, + -0.45779430444281277, + -0.4632663646326326, + -0.4758381543943891, + -0.4950059370232164, + -0.5201232371342804, + -0.5504167304444852, + -0.5850048988239216, + -0.6229189949774576, + -0.6631258080376737, + -0.7045516807707941, + -0.7461072019787202, + -0.7867119846527476, + -0.8253189417797192, + -0.8609374873476799, + -0.8926551196218014, + -0.9196568863979654, + -0.9412422866050759, + -0.9568392279373998, + -0.9660147345154034, + -0.9684821800384886, + -0.9641049084747377, + -0.9528961938777947, + -0.9350155812076819, + -0.9107617388255934, + -0.8805620384394705, + -0.8449591576010229, + -0.8045950714473733, + -0.7601928624899641, + -0.7125368283675112, + -0.6624514063632306, + -0.6107794592112216, + -0.5583604786842545, + -0.5060092614111278, + -0.45449559541216117, + -0.404525466409066, + -0.35672425083936204, + -0.31162230877979846, + -0.26964332604065205, + -0.2310956821689531, + -0.19616704184135753, + -0.16492228315017912, + -0.13730478971745524, + -0.11314104660245851, + -0.09214839479516305, + -0.07394571786138042, + -0.058066759072232924, + -0.043975700006269644, + -0.031084573851278614, + -0.018772039906745076, + -0.00640301127001895, + 0.00665139375540471, + 0.020994113827166486, + 0.03718315163976523, + 0.0557138376313147, + 0.0770028292873945, + 0.10137427993578618, + 0.12904855467882884, + 0.16013380511117267, + 0.19462064038900279, + 0.23238005192594663, + 0.27316466452218313, + 0.3166133002246326, + 0.3622587548587865, + 0.4095386031562533, + 0.4578087688593825, + 0.5063595231384493, + 0.5544335099699493, + 0.6012453424512431, + 0.6460022707726505, + 0.6879253918538781, + 0.7262708532854092, + 0.7603505006716815, + 0.7895514278799732, + 0.8133539138364779, + 0.8313472668137419, + 0.8432431467258258, + 0.848885996584662, + 0.8482602844893644, + 0.8414943355933932, + 0.8288606174963828, + 0.8107724303596185, + 0.7877770425675665, + 0.7605454017268047, + 0.7298586369912643, + 0.696591649975634, + 0.6616941658313659, + 0.6261696815444735, + 0.5910528035183943, + 0.557385509632084, + 0.5261929011073777, + 0.4984590258945671, + 0.4751033574429015, + 0.45695850056659887, + 0.4447496699030954, + 0.4390764467925252, + 0.44039726822263486, + 0.4490170380286232, + 0.46507817734000034, + 0.48855535009585055, + 0.5192540122746796, + 0.5568128424247197, + 0.6007100183531686, + 0.6502732127003207, + 0.7046930908375275, + 0.7630400102691164, + 0.8242835435503828, + 0.8873143785466315, + 0.9509680923237998, + 1.0140502494913592, + 1.075362243530345, + 1.133727281328471, + 1.1880159072634273, + 1.237170473824433, + 1.2802279906851093, + 1.3163408227327889, + 1.3447947588799642, + 1.3650240362821802, + 1.3766229773309302, + 1.3793539777054185, + 1.3731516708793932, + 1.3581231856642482, + 1.3345445064044796, + 1.3028530380601098, + 1.2636365683591673, + 1.2176189042953698, + 1.1656425384173463, + 1.1086487697136114, + 1.0476557627684688, + 0.9837350758338523, + 0.917987222411579, + 0.8515168510711104, + 0.7854081340826704, + 0.7207009469190551, + 0.6583683980202681, + 0.59929623201916, + 0.5442645808214429, + 0.49393247675737123, + 0.4488254719892533, + 0.4093266302239361, + 0.3756710724937748, + 0.34794417043171166, + 0.32608339027085, + 0.3098837009810853, + 0.299006372736424, + 0.2929909094375613, + 0.29126978332408027, + 0.29318557265497397, + 0.29801004665215103, + 0.30496469676721, + 0.3132421809320951, + 0.3220281285550217, + 0.33052274905164675, + 0.3379616957374284, + 0.34363565967999893, + 0.3469082040074111, + 0.3472313972497812, + 0.344158863315645, + 0.33735593415659615, + 0.32660666730687066, + 0.3118175723621374, + 0.2930179760060275, + 0.27035704223764395, + 0.24409755079758652, + 0.21460662025352242, + 0.18234364068394965, + 0.1478457524129776, + 0.11171126999941486, + 0.07458150309202646, + 0.0371214665128916, + 3.4222105640597696e-16 + ], + [ + 0, + -0.036463343538006225, + -0.07101731383197106, + -0.1031209700024248, + -0.1323145386280695, + -0.1582334605573084, + -0.1806198067653196, + -0.19933074930493505, + -0.21434384981700266, + -0.2257590106847514, + -0.23379702064576713, + -0.23879471531840302, + -0.24119686141066132, + -0.24154495911900264, + -0.24046323821475937, + -0.23864219749652932, + -0.23682010276645846, + -0.23576291359134083, + -0.23624315241898297, + -0.23901826001346974, + -0.24480899784944732, + -0.2542784606079675, + -0.26801225014199515, + -0.28650033648353407, + -0.3101210922532276, + -0.3391279351512686, + -0.37363895031345923, + -0.41362979174933656, + -0.45893008162643323, + -0.5092234398129608, + -0.5640511859788131, + -0.6228196649191577, + -0.6848110548859118, + -0.7491974308568157, + -0.8150577720360574, + -0.8813975275363134, + -0.9471702880351046, + -1.0113010559002018, + -1.0727105632457936, + -1.1303400577183242, + -1.1831759602954148, + -1.230273798441, + -1.2707808316637736, + -1.3039568145812035, + -1.3291923843497935, + -1.346024613796694, + -1.3541493374752762, + -1.3534299335815516, + -1.3439023283779719, + -1.325776079445121, + -1.2994314875389246, + -1.2654127817938723, + -1.2244175171636666, + -1.1772824140288412, + -1.1249659555990186, + -1.0685281369968882, + -1.0091078288130688, + -0.9478982757754023, + -0.8861212965609898, + -0.8250007825782008, + -0.7657361109738842, + -0.7094760897452754, + -0.6572940405858657, + -0.6101645982631213, + -0.5689427645641957, + -0.5343457011446334, + -0.5069376802832376, + -0.4871185371757142, + -0.47511588382863973, + -0.4709812548811306, + -0.4745902619719486, + -0.48564673786800316, + -0.5036907567994117, + -0.5281103256120028, + -0.5581564536818916, + -0.5929612301406755, + -0.6315584667557067, + -0.6729064054912941, + -0.7159119427680536, + -0.7594557888589938, + -0.8024179615008319, + -0.8437030080956782, + -0.8822643609082083, + -0.9171272541418575, + -0.9474096700632999, + -0.9723408324590024, + -0.991276828357182, + -1.0037130115584008, + -1.0092929222708722, + -1.0078135440277087, + -0.9992268099116809, + -0.9836373626734554, + -0.961296665310147, + -0.932593647799497, + -0.8980421597647245, + -0.8582655758095107, + -0.8139789682265559, + -0.7659693190893316, + -0.7150742889963461, + -0.6621600918642764, + -0.6080990434042, + -0.5537473548544234, + -0.49992373313248145, + -0.4473893241137782, + -0.3968294979012206, + -0.3488379247084118, + -0.3039033286355494, + -0.2623992357447385, + -0.2245769542479818, + -0.19056194030500684, + -0.16035361502769213, + -0.13382860902810859, + -0.110747322483648, + -0.09076360345551317, + -0.07343726723444528, + -0.05824910681344173, + -0.04461798102941786, + -0.031919514071113424, + -0.019505899245116462, + -0.006726272147561012, + 0.007052895601652737, + 0.022427930796607612, + 0.03993915579113388, + 0.0600536549648833, + 0.08315007618329044, + 0.10950588000959806, + 0.13928738587526696, + 0.17254289183537483, + 0.20919906476481567, + 0.24906071290794732, + 0.29181396472933807, + 0.33703278925443875, + 0.3841887057863751, + 0.4326634472542999, + 0.4817642636151534, + 0.5307414816767922, + 0.5788078772250523, + 0.6251593659717355, + 0.6689964828685577, + 0.7095460957184166, + 0.7460827893908971, + 0.7779493615947163, + 0.8045758899993812, + 0.8254968630995798, + 0.8403659128008464, + 0.8489677441695533, + 0.8512269257303943, + 0.8472132804415561, + 0.8371437011394482, + 0.821380302751895, + 0.8004249147367344, + 0.7749100087457648, + 0.7455862461619155, + 0.713306915671399, + 0.6790096102720934, + 0.643695564094163, + 0.6084071303301294, + 0.5742039308952663, + 0.5421382449056537, + 0.5132302257263633, + 0.48844354460174877, + 0.4686620524842941, + 0.4546680307401883, + 0.4471225664007178, + 0.4465485393687618, + 0.4533166486276805, + 0.46763483348478646, + 0.48954136592753644, + 0.5189018032146626, + 0.5554098979794126, + 0.598592468623902, + 0.6478181379372013, + 0.7023097549912484, + 0.7611602267294633, + 0.8233514034322583, + 0.8877755884367434, + 0.9532591789147563, + 1.0185878927347152, + 1.0825329977221552, + 1.143877934944155, + 1.2014447175857104, + 1.2541194918133567, + 1.300876665622002, + 1.340801045560908, + 1.373107468611112, + 1.3971574761856431, + 1.412472647790833, + 1.418744291601718, + 1.4158392761227938, + 1.4038018791085234, + 1.3828516247633362, + 1.3533771756182402, + 1.3159264390689853, + 1.271193138083565, + 1.2200001788710453, + 1.1632802233312398, + 1.1020539390623303, + 1.0374064530272418, + 0.9704625753935564, + 0.9023613866084087, + 0.8342307928344163, + 0.7671626521965097, + 0.7021890569776804, + 0.6402603254182545, + 0.5822252119308088, + 0.5288137874810958, + 0.4806233740430074, + 0.43810784011393755, + 0.40157048019803143, + 0.37116061202315337, + 0.3468739332678374, + 0.32855658701756973, + 0.3159127943347836, + 0.30851582545548706, + 0.3058220003555259, + 0.30718733674316556, + 0.3118864007086158, + 0.3191328638230707, + 0.32810123167104965, + 0.3379491835444113, + 0.3478399519091771, + 0.35696417350834353, + 0.3645606614575367, + 0.3699355789430664, + 0.3724795393181051, + 0.3716822133658434, + 0.3671440908187634, + 0.3585851181953993, + 0.34585001673063626, + 0.32891017055798677, + 0.3078620641639071, + 0.28292233722760074, + 0.2544196120352835, + 0.2227833315190892, + 0.18852992253039827, + 0.15224666728850478, + 0.11457372433036789, + 0.07618478725972758, + 0.03776690397649118, + 3.467707609450149e-16 + ], + [ + 0, + -0.03666915311860848, + -0.07113232317433292, + -0.10287710709960284, + -0.13148215645814393, + -0.15663009435394062, + -0.1781175498816211, + -0.19586203268135832, + -0.20990545226902652, + -0.22041417404520225, + -0.22767559403533502, + -0.23209130519377957, + -0.23416701721434866, + -0.23449947696756304, + -0.23376071576442928, + -0.23268002061396542, + -0.23202408768392763, + -0.2325758657256025, + -0.23511263400491605, + -0.24038388233321495, + -0.24908956949483047, + -0.2618593304669286, + -0.2792331824280747, + -0.30164424512697097, + -0.32940394355583336, + -0.3626901012000207, + -0.4015382618766959, + -0.4458364990582592, + -0.4953238855538316, + -0.5495927056237403, + -0.6080943982812282, + -0.6701491270139216, + -0.7349587797666862, + -0.8016231160513884, + -0.8691586976672722, + -0.936520167748571, + -1.0026233815148902, + -1.0663698427412494, + -1.1266718638513569, + -1.18247784560708, + -1.232797065207445, + -1.276723369445842, + -1.3134571922580405, + -1.3423253530127515, + -1.3627981423819315, + -1.3745032653776186, + -1.377236284648144, + -1.3709672896141878, + -1.3558436064947088, + -1.3321884585496868, + -1.3004955826542883, + -1.2614199052560662, + -1.2157644754841634, + -1.1644639433602386, + -1.1085649544957714, + -1.0492039073041404, + -0.9875825827758571, + -0.9249422086882784, + -0.8625365584712905, + -0.8016047088810748, + -0.7433440895517606, + -0.6888844511725002, + -0.6392633576225443, + -0.5954037714050417, + -0.558094252024962, + -0.5279722247662524, + -0.5055107041525193, + -0.49100877400699505, + -0.48458603646868537, + -0.4861811477550647, + -0.49555446119131535, + -0.5122947004207087, + -0.5358294901452644, + -0.565439480543358, + -0.6002757168853186, + -0.6393798298695392, + -0.6817065566665105, + -0.7261480491640059, + -0.771559385732917, + -0.8167846769314028, + -0.8606831445335711, + -0.9021545573412533, + -0.9401634262741574, + -0.9737613947285448, + -1.0021073072859723, + -1.0244844993470534, + -1.040314920663085, + -1.049169785277072, + -1.0507765270803178, + -1.0450219318834142, + -1.0319514113150625, + -1.011764478659982, + -0.9848065795854931, + -0.951557519296153, + -0.9126168098185578, + -0.8686863348399757, + -0.820550793004604, + -0.7690564322683207, + -0.7150886265813926, + -0.659548870890053, + -0.6033317806528915, + -0.5473026775498419, + -0.49227632398109555, + -0.4389973358343037, + -0.3881227567137585, + -0.34020721857538333, + -0.2956910449928389, + -0.2548915758490475, + -0.21799790807462524, + -0.1850691582762171, + -0.15603626196175305, + -0.1307072328795831, + -0.10877571704593149, + -0.08983259158190297, + -0.07338028064358774, + -0.05884939146391375, + -0.04561721457259012, + -0.03302758509925234, + -0.02041156787548085, + -0.007108408686924013, + 0.007513812008045499, + 0.024038378138357578, + 0.042981522413831276, + 0.06477589224497761, + 0.08975634427216089, + 0.11814845397624583, + 0.1500600562661059, + 0.18547605418321605, + 0.22425664792408906, + 0.26613904740838507, + 0.31074264086808495, + 0.3575775017014137, + 0.4060560284135379, + 0.45550743007512856, + 0.5051946944661151, + 0.5543336098551565, + 0.6021133558899904, + 0.6477181357669686, + 0.6903492918329608, + 0.729247330840581, + 0.7637132836673627, + 0.7931288374964732, + 0.8169747059500656, + 0.8348467438169427, + 0.8464693668306017, + 0.8517059021199697, + 0.8505655698744338, + 0.8432068795911597, + 0.8299373129585034, + 0.8112092577764654, + 0.7876122510288012, + 0.7598616819678441, + 0.7287841955371501, + 0.6953001204001381, + 0.6604033221582711, + 0.6251389491081889, + 0.5905795934144684, + 0.5578004334491822, + 0.5278539521676257, + 0.5017448409859242, + 0.480405698293804, + 0.4646741164350285, + 0.45527172105011765, + 0.4527856827940068, + 0.4576531646540338, + 0.470149099760131, + 0.4903776163456282, + 0.5182673402768326, + 0.5535707134159663, + 0.5958673702576986, + 0.6445715181205902, + 0.6989431700537868, + 0.7581029868864029, + 0.8210503977726359, + 0.8866845893030945, + 0.9538278837076292, + 1.0212509685750164, + 1.087699395289227, + 1.151920732145285, + 1.2126917416325336, + 1.2688449500708772, + 1.319293991696232, + 1.3630571380825431, + 1.3992784667623794, + 1.4272461790225581, + 1.446407644739076, + 1.4563808301238614, + 1.4569618504830728, + 1.448128482431521, + 1.4300395662200773, + 1.4030303265691306, + 1.3676037372820231, + 1.3244181485816415, + 1.2742714842956069, + 1.2180823965720304, + 1.1568688367893651, + 1.0917245610183968, + 1.0237941353688957, + 0.9542470396888385, + 0.8842514866035291, + 0.81494857636774, + 0.7474273964093183, + 0.6827016480913894, + 0.6216883427984645, + 0.5651890559907478, + 0.5138741627207268, + 0.46827040290300403, + 0.4287520412518084, + 0.3955357973288947, + 0.36867962780157076, + 0.34808534811066, + 0.33350498663974004, + 0.32455067348264444, + 0.3207077802670887, + 0.32135094931089747, + 0.32576258157696186, + 0.3331532951297304, + 0.34268382047764157, + 0.3534877673977191, + 0.3646946803268324, + 0.3754527965581673, + 0.3849509333239004, + 0.39243895603280715, + 0.3972463197637537, + 0.3987982285528639, + 0.39662902070085543, + 0.3903924616359315, + 0.37986870692773844, + 0.36496778479890535, + 0.3457295377239772, + 0.32232005415788006, + 0.2950247117877655, + 0.26423804067438483, + 0.2304506960511044, + 0.19423390433223595, + 0.15622181019314746, + 0.11709220580844218, + 0.07754616413760572, + 0.03828712550982512, + 3.501338376429912e-16 + ], + [ + 0, + -0.036746875846969146, + -0.07099890723616208, + -0.10227849667465562, + -0.13020855150387645, + -0.1545240897537615, + -0.17508072876883565, + -0.19185982015386807, + -0.2049700818385456, + -0.21464566925988, + -0.22124072049672291, + -0.225220502308908, + -0.22714937309642796, + -0.227675862538765, + -0.22751524396961928, + -0.22743004244148549, + -0.22820897722537004, + -0.23064488073808329, + -0.23551216547077028, + -0.24354442562714712, + -0.255412760449234, + -0.27170539156557594, + -0.29290911746935444, + -0.3193931051150214, + -0.3513954626551249, + -0.38901296989064693, + -0.43219426573534747, + -0.48073670680340835, + -0.5342870202281625, + -0.5923457792656919, + -0.6542756344820537, + -0.7193131387536006, + -0.7865839132889177, + -0.8551208166879922, + -0.923884701829377, + -0.9917872780659751, + -1.0577155405197483, + -1.1205571856155119, + -1.1792264034842708, + -1.2326894242495312, + -1.2799891968707748, + -1.3202685961646825, + -1.3527915854866004, + -1.3769618085927957, + -1.392338143327061, + -1.3986468205674325, + -1.3957897926233933, + -1.3838491240360653, + -1.3630872723475396, + -1.3339432245674014, + -1.297024554380025, + -1.2530955631792113, + -1.2030617623882511, + -1.1479510429123503, + -1.088891957808457, + -1.0270896143752934, + -0.963799730139658, + -0.9003014522089718, + -0.8378695700639569, + -0.7777467673201814, + -0.7211165579052488, + -0.6690775364712196, + -0.6226195420628772, + -0.5826022888356003, + -0.5497369590598631, + -0.5245711831866501, + -0.507477751094738, + -0.4986473097612671, + -0.49808520765643444, + -0.5056125474741783, + -0.5208714087763664, + -0.5433341031828582, + -0.5723162292897299, + -0.6069932048612106, + -0.646419872190984, + -0.6895527008409107, + -0.7352740519687444, + -0.782417921591128, + -0.8297965475095673, + -0.8762272470201493, + -0.9205588503266184, + -0.9616971077972444, + -0.9986284774846723, + -1.030441741931873, + -1.0563469591319266, + -1.0756913201865654, + -1.0879715640213745, + -1.0928426855208335, + -1.0901227655030408, + -1.079793846775606, + -1.0619988777270228, + -1.0370348411085186, + -1.0053422784772146, + -0.9674915079188331, + -0.9241659120091462, + -0.8761427425684472, + -0.8242719469191656, + -0.7694535656680663, + -0.7126142834182884, + -0.6546837305385328, + -0.5965711358095381, + -0.539142916438926, + -0.4832017639665378, + -0.4294677427199, + -0.3785618628146838, + -0.33099252363748816, + -0.28714514798869917, + -0.24727524353244748, + -0.2115050390202727, + -0.17982375018431843, + -0.15209143657543459, + -0.12804631831443358, + -0.10731533305771582, + -0.08942763068349852, + -0.07383062836359822, + -0.059908183677286696, + -0.04700038987822418, + -0.0344244566828182, + -0.021496113025381007, + -0.007550955790261015, + 0.008034829113340806, + 0.025824929891565467, + 0.04630508142168025, + 0.0698674275865161, + 0.09679749657246589, + 0.1272641442478742, + 0.16131274350594632, + 0.19886181301571504, + 0.23970318931521722, + 0.28350575387066135, + 0.32982263395396677, + 0.3781017053117038, + 0.4276991379188257, + 0.4778956458347336, + 0.5279150303523844, + 0.5769445440886404, + 0.6241565539845589, + 0.668730944650844, + 0.709877681060494, + 0.746858941859537, + 0.7790102417712882, + 0.8057599835690974, + 0.826646916374935, + 0.8413350267356183, + 0.8496254508262059, + 0.8514650687146554, + 0.8469515231061667, + 0.8363344933564302, + 0.8200131486103952, + 0.798529799375561, + 0.7725598622994583, + 0.7428983460079229, + 0.7104431542455024, + 0.6761755840252015, + 0.6411384689919201, + 0.6064124799007184, + 0.5730911434399534, + 0.5422551763259159, + 0.5149467527308452, + 0.4921443291092198, + 0.47473864116146874, + 0.46351046320072165, + 0.45911068112373177, + 0.4620431774495563, + 0.4726509617363223, + 0.49110590368350543, + 0.5174023412110539, + 0.5513547438392543, + 0.5925995150108805, + 0.6406009179561922, + 0.6946610107195772, + 0.7539333794640581, + 0.8174403675088087, + 0.8840934129821646, + 0.9527160325630072, + 1.0220689243900751, + 1.0908766114257726, + 1.1578550086452195, + 1.2217392743202926, + 1.2813112979575687, + 1.3354261853270681, + 1.3830371243023585, + 1.4232180533616348, + 1.45518360664992, + 1.47830587421, + 1.4921275917791026, + 1.4963714595745965, + 1.4909453816836609, + 1.4759435147832012, + 1.4516431145821542, + 1.4184972681724672, + 1.3771236979697286, + 1.3282899157503092, + 1.2728950911961836, + 1.2119490762603526, + 1.1465490927072244, + 1.0778546437741179, + 1.0070612507605432, + 0.9353736405377147, + 0.8639790199011371, + 0.7940210671577641, + 0.7265752505209849, + 0.6626260473316181, + 0.6030465887427326, + 0.5485811925506829, + 0.49983117388131926, + 0.45724424127528085, + 0.42110769640759826, + 0.3915455614454034, + 0.3685196612307881, + 0.35183459046945365, + 0.3411464013055997, + 0.3359747564044965, + 0.33571820916437506, + 0.3396721979834181, + 0.3470492774379475, + 0.3570010573383631, + 0.368641282168058, + 0.3810694592886864, + 0.3933944350653618, + 0.4047573239083014, + 0.4143532159474318, + 0.421451124087934, + 0.4254116796155664, + 0.42570214607666773, + 0.42190839229396937, + 0.41374354527907975, + 0.4010531304334932, + 0.3838165975944779, + 0.3621452248734249, + 0.3362764854926623, + 0.30656505360020203, + 0.273470711043926, + 0.23754349615365764, + 0.1994065057249031, + 0.1597368208616181, + 0.11924507462750715, + 0.07865421339403568, + 0.03867802351350385, + 3.522876073600707e-16 + ], + [ + 0, + -0.036697199074634694, + -0.0706219054747758, + -0.10133745806757845, + -0.128516593016478, + -0.15195156459803963, + -0.17156093398945327, + -0.1873928347572768, + -0.1996246155498747, + -0.208558854945022, + -0.2146158381355225, + -0.2183226777458918, + -0.22029934921010733, + -0.2212419925625551, + -0.22190390512677285, + -0.2230747115733534, + -0.22555824756893278, + -0.23014972946755022, + -0.23761280425688774, + -0.2486570806800496, + -0.2639167339007606, + -0.283930752441007, + -0.3091253579487294, + -0.3397990765682171, + -0.37611087654912845, + -0.41807171181523983, + -0.4655397273676747, + -0.5182192916933488, + -0.5756639260372945, + -0.6372831028472401, + -0.7023527883408837, + -0.7700295094125896, + -0.8393676353580609, + -0.9093394824059161, + -0.9788577758814377, + -1.0467999428406578, + -1.1120336587795365, + -1.1734430368073645, + -1.2299548273952683, + -1.2805639920206728, + -1.3243580248961193, + -1.3605394232773094, + -1.3884457479904768, + -1.4075667708346609, + -1.4175582730873435, + -1.4182521378469564, + -1.40966246648494, + -1.3919875439292682, + -1.3656075765626308, + -1.3310782277763504, + -1.2891200772023208, + -1.2406042278795104, + -1.1865343786926306, + -1.1280257650654837, + -1.0662814469971382, + -1.002566488224, + -0.9381806219813592, + -0.8744300362483914, + -0.8125989335631869, + -0.7539215269346363, + -0.6995551238861778, + -0.6505549254635529, + -0.6078511267304478, + -0.5722288508376819, + -0.5443113815054564, + -0.5245470803388714, + -0.5132002877135551, + -0.5103464111553238, + -0.5158713055044554, + -0.5294749471270002, + -0.5506793024957944, + -0.5788401920917581, + -0.6131628561862627, + -0.6527208419481049, + -0.6964777535841382, + -0.7433113407482824, + -0.792039346839339, + -0.8414464993354213, + -0.8903119999154944, + -0.9374368633583059, + -0.9816704612630002, + -1.0219356492924334, + -1.0572518943044638, + -1.0867558694460362, + -1.1097190497324025, + -1.125561916202348, + -1.1338644615406832, + -1.1343727819798728, + -1.1270016370498395, + -1.1118329579408597, + -1.089110384426366, + -1.0592300070129985, + -1.022727582863987, + -0.980262578823201, + -0.9325994704766013, + -0.8805867907829865, + -0.8251344738219804, + -0.7671900773952199, + -0.7077144916742913, + -0.6476577492818233, + -0.5879355449676037, + -0.5294070506305504, + -0.4728545744495844, + -0.4189655622933122, + -0.3683173766892007, + -0.3213652150615142, + -0.27843344657103425, + -0.2397105578029347, + -0.20524780401042914, + -0.17496156699691917, + -0.14863932542256217, + -0.12594905075468718, + -0.10645175457529442, + -0.08961683271286136, + -0.07483978069427451, + -0.061461795094981383, + -0.048790728000630106, + -0.03612282816343943, + -0.022764683376757057, + -0.008054774569674714, + 0.008615936770743739, + 0.027784940301009965, + 0.04990113998707961, + 0.07531030781676354, + 0.10424342208863821, + 0.13680820911191147, + 0.17298412371948774, + 0.21262091444211384, + 0.25544082578470184, + 0.30104439515442954, + 0.34891970802091676, + 0.39845488422682795, + 0.4489534833167264, + 0.49965243947805105, + 0.5497420691620821, + 0.5983876384037538, + 0.6447519337291314, + 0.6880182514480783, + 0.7274132058453376, + 0.7622287577036506, + 0.7918428807342859, + 0.8157383144881791, + 0.8335188974361704, + 0.8449230320460038, + 0.8498339034244694, + 0.848286152720127, + 0.8404687940289488, + 0.8267242568436112, + 0.807543532820087, + 0.783557503394856, + 0.7555246211338835, + 0.7243152102210448, + 0.6908927378799385, + 0.6562924865965287, + 0.6215981248011587, + 0.5879167294574111, + 0.5563528563673067, + 0.5279822818420116, + 0.503826051966968, + 0.48482547264886067, + 0.4718186549938448, + 0.4655191967425207, + 0.46649753226392726, + 0.4751654221325941, + 0.4917639800529153, + 0.5163555516208734, + 0.5488196681417085, + 0.5888532016713268, + 0.6359747469831494, + 0.68953315473261, + 0.7487200401779397, + 0.8125859958643631, + 0.8800601470407344, + 0.9499726074534162, + 1.0210793225446746, + 1.0920887287104952, + 1.161689612584425, + 1.228579524414807, + 1.2914930852365178, + 1.3492295290675966, + 1.4006788387610671, + 1.4448458669973814, + 1.4808718814210482, + 1.5080530339531844, + 1.5258553273675433, + 1.533925735523242, + 1.532099225175027, + 1.5204015248028426, + 1.4990475870418953, + 1.468435793590418, + 1.4291380524360304, + 1.381886034418406, + 1.3275538871762094, + 1.2671378472030537, + 1.2017332430603218, + 1.1325094430204348, + 1.060683347097183, + 0.9874920554489393, + 0.9141653617662627, + 0.8418987211066435, + 0.7718273267337251, + 0.70500190026025, + 0.6423667545651308, + 0.584740630693257, + 0.532800739718829, + 0.4870703601177565, + 0.44791025255857425, + 0.41551405938883285, + 0.38990775781318937, + 0.37095313626325976, + 0.3583551652052719, + 0.35167303904116193, + 0.3503345771572357, + 0.35365359173358857, + 0.36084975961157045, + 0.3710704770346405, + 0.38341413084114456, + 0.39695418877484007, + 0.4107634957109568, + 0.42393816211659247, + 0.4356204459351385, + 0.44502005888336765, + 0.451433372083755, + 0.4542600528796246, + 0.45301673313040364, + 0.447347387507865, + 0.4370301863190855, + 0.4219806789852132, + 0.40225125918727683, + 0.37802695845372974, + 0.34961770919342705, + 0.3174473084986036, + 0.2820393981833675, + 0.2440008523702106, + 0.2040030295875772, + 0.16276140015128954, + 0.12101410022679175, + 0.07949999039598311, + 0.03893680812818653, + 3.532221979602567e-16 + ], + [ + 0, + -0.036522239756475144, + -0.07000899310594952, + -0.10007045482837142, + -0.1264344336775796, + -0.14895482355555142, + -0.1676165509272284, + -0.1825368562602337, + -0.19396286286845327, + -0.20226548345754453, + -0.207929810455146, + -0.21154222842702688, + -0.21377457318858392, + -0.21536574042163703, + -0.2171012147038653, + -0.219791046108943, + -0.2242468444917503, + -0.2312583901196683, + -0.24157047269312668, + -0.25586056864137957, + -0.274717948897642, + -0.2986247765556166, + -0.3279397066714902, + -0.3628844401469835, + -0.40353361158798, + -0.4498083090539408, + -0.501473433722266, + -0.5581390119177722, + -0.6192654730760301, + -0.6841728074838332, + -0.7520534195604368, + -0.8219883984639655, + -0.8929668402864198, + -0.963907777240569, + -1.0336842010348983, + -1.1011486118104514, + -1.165159482004232, + -1.2246079973963522, + -1.2784444261138628, + -1.3257034708390982, + -1.3655279798458404, + -1.3971904283105099, + -1.4201116317827511, + -1.4338762175522637, + -1.4382444553847864, + -1.4331601348919587, + -1.418754270567834, + -1.3953445149894852, + -1.363430263416217, + -1.3236835365228166, + -1.2769358297353282, + -1.2241612151114714, + -1.1664560725308133, + -1.10501590890214, + -1.041109795141203, + -0.9760530090714824, + -0.9111785167115907, + -0.8478079535379108, + -0.7872227805237021, + -0.730636286718989, + -0.679167090910488, + -0.6338147599444237, + -0.5954381114508068, + -0.5647367051826944, + -0.5422359515210152, + -0.5282761797344658, + -0.5230059144164899, + -0.5263795084396419, + -0.5381591772078986, + -0.5579213744700482, + -0.5850673470245172, + -0.6188376067998296, + -0.6583299664352246, + -0.7025207008517688, + -0.7502883244185085, + -0.8004394129382386, + -0.8517358532519065, + -0.9029228718943533, + -0.9527571786602813, + -1.0000345615035477, + -1.0436162858425946, + -1.0824536836338068, + -1.1156103646717066, + -1.1422815432873077, + -1.1618100464174592, + -1.173698652087934, + -1.177618498621373, + -1.1734134020798863, + -1.1611000201719586, + -1.1408639026028244, + -1.1130515681156836, + -1.0781588447888817, + -1.0368158001557835, + -0.989768669195465, + -0.9378592592155773, + -0.8820023693909783, + -0.823161807817494, + -0.7623256193160873, + -0.7004811521737249, + -0.6385905912132069, + -0.5775675681180067, + -0.5182554282623687, + -0.4614076872524628, + -0.40767115116893793, + -0.35757210363822506, + -0.31150588216146624, + -0.269730077649509, + -0.2323614970949972, + -0.19937693213723062, + -0.1706176783962057, + -0.14579765433683356, + -0.12451487649204138, + -0.10626596243527209, + -0.09046325609332055, + -0.07645410375430677, + -0.06354175510983849, + -0.051007323223096375, + -0.03813221144095659, + -0.02422040460619295, + -0.008620026729669028, + 0.009256412582898417, + 0.029913625710688573, + 0.053757502505187134, + 0.08108184605521955, + 0.11205824846066319, + 0.14672938444269953, + 0.18500591152806958, + 0.22666707152597876, + 0.27136499145287996, + 0.31863258540138706, + 0.36789486454819575, + 0.41848337294746385, + 0.46965338423856484, + 0.5206034210134901, + 0.5704965962148457, + 0.6184832261710739, + 0.6637241290067596, + 0.7054140011307133, + 0.7428042588696053, + 0.7752247422609185, + 0.8021037033358099, + 0.8229855413138983, + 0.83754580103012, + 0.845603017303066, + 0.8471270652032863, + 0.8422437623826871, + 0.8312355626480539, + 0.8145382774936116, + 0.7927338619222072, + 0.7665394000981255, + 0.7367925227064445, + 0.7044335789306442, + 0.6704849694144304, + 0.6360281203416092, + 0.602178640981354, + 0.5700602561203256, + 0.5407781394755043, + 0.5153922935442219, + 0.4948916248704401, + 0.4801693512493258, + 0.47200034921221207, + 0.4710210068761742, + 0.4777120899266649, + 0.4923850584968602, + 0.5151721916985259, + 0.5460207865059763, + 0.5846916007834534, + 0.6307616088360701, + 0.683631034429441, + 0.74253452329116, + 0.806556217197836, + 0.8746483973133612, + 0.9456532777951806, + 1.0183274539555365, + 1.0913684443418787, + 1.1634427145865291, + 1.2332145340436267, + 1.2993749949963203, + 1.3606705191123807, + 1.4159301869904677, + 1.464091253812147, + 1.5042222566443135, + 1.5355431757945024, + 1.557442182428392, + 1.5694885857182719, + 1.5714416831311537, + 1.563255314887241, + 1.5450780257519139, + 1.5172488416813015, + 1.4802887728838303, + 1.4348882560579046, + 1.38189084446047, + 1.3222735427262624, + 1.2571242618553649, + 1.187616936621326, + 1.114984901215611, + 1.0404931579560022, + 0.9654101974248565, + 0.8909800359265929, + 0.8183951275161216, + 0.7487707833007196, + 0.6831216908981493, + 0.6223410728587154, + 0.5671829558922815, + 0.5182479445617059, + 0.47597280566287103, + 0.44062407498483097, + 0.412295798876908, + 0.39091142150115504, + 0.3762297273274687, + 0.3678546498323648, + 0.3652486639162357, + 0.3677493935494924, + 0.3745889896980713, + 0.38491576852428344, + 0.3978175477840863, + 0.4123460814946145, + 0.4275419702183501, + 0.44245941721656584, + 0.45619020938867055, + 0.467886326067372, + 0.47678061772782476, + 0.4822050494701229, + 0.48360606938338363, + 0.48055673792337233, + 0.4727653392952647, + 0.46008028737253887, + 0.442491234583211, + 0.42012639003104113, + 0.3932461504238115, + 0.36223324170181165, + 0.32757965822480606, + 0.2898707677503502, + 0.24976702217918423, + 0.20798377435819423, + 0.1652697486108499, + 0.12238474592874424, + 0.0800771830817929, + 0.03906206784134905, + 3.5294093290301597e-16 + ], + [ + 0, + -0.03622555029930202, + -0.06917065243044145, + -0.09849799195903584, + -0.12399529542981237, + -0.14558199881779504, + -0.16331222649471183, + -0.17737399103812124, + -0.18808462286352237, + -0.19588253721317414, + -0.20131554198785362, + -0.20502598082153464, + -0.20773308936107807, + -0.2102130167936437, + -0.21327702737026827, + -0.2177484463956391, + -0.22443895060684568, + -0.23412482312029076, + -0.2475237976390068, + -0.26527310523015946, + -0.28790930995120456, + -0.3158504775628985, + -0.34938116553568865, + -0.3886406539031673, + -0.4336147569313512, + -0.4841314670218455, + -0.5398605869450303, + -0.6003174067749765, + -0.6648703802545155, + -0.7327526542939301, + -0.8030772074274218, + -0.8748552607724833, + -0.9470175406792419, + -1.0184378979484972, + -1.0879587261223171, + -1.1544175725008632, + -1.2166743014727925, + -1.2736381513589725, + -1.3242940237685434, + -1.3677273585606016, + -1.403146977598832, + -1.4299053258884318, + -1.4475155983229075, + -1.4556653127169759, + -1.4542259733158116, + -1.443258561528808, + -1.4230146899894158, + -1.3939333597716086, + -1.356633366165997, + -1.3119015032531198, + -1.260676819040104, + -1.2040312686599048, + -1.143147200717809, + -1.0792921891541163, + -1.0137917880701028, + -0.9480008382303303, + -0.8832739901381083, + -0.8209361287816412, + -0.7622533888561848, + -0.7084054363760424, + -0.6604596634003347, + -0.6193478978073553, + -0.58584617074661, + -0.5605580120126193, + -0.543901659878606, + -0.5361014789364915, + -0.5371837794746492, + -0.546977127320437, + -0.5651171264261282, + -0.5910555503788156, + -0.6240735960467164, + -0.6632989352371572, + -0.7077261508967889, + -0.7562400651957214, + -0.807641399716898, + -0.8606741545348625, + -0.9140540544914209, + -0.9664973883685972, + -1.0167495604395917, + -1.0636126841620421, + -1.1059715742739178, + -1.142817535573634, + -1.173269403143499, + -1.19659135828786, + -1.2122071252640958, + -1.2197102439711545, + -1.2188702108874758, + -1.2096343823092834, + -1.1921256378141618, + -1.1666359052989703, + -1.1336157493679995, + -1.0936603198089234, + -1.0474920440633606, + -0.9959405248467961, + -0.9399201695208047, + -0.8804061298875535, + -0.818409168516467, + -0.7549500896459672, + -0.6910343786368572, + -0.6276276837945864, + -0.5656327484327625, + -0.5058683600193669, + -0.44905082820445535, + -0.3957784358952476, + -0.3465192290538423, + -0.30160242354520167, + -0.2612136133760193, + -0.22539386641867545, + -0.19404269369057617, + -0.16692477897987876, + -0.14368025957337227, + -0.12383825846485105, + -0.10683328597119165, + -0.09202405622462201, + -0.07871420335587567, + -0.06617433484764614, + -0.05366482669819954, + -0.04045874750246405, + -0.025864296757972985, + -0.009246156664857548, + 0.009954813954996755, + 0.03220407099965593, + 0.05785853155960961, + 0.08715477582935867, + 0.12020062492084535, + 0.15697032693827107, + 0.1973034895479179, + 0.24090779951512764, + 0.2873654707633066, + 0.3361432649467035, + 0.38660583479737975, + 0.43803205298994735, + 0.4896339101937544, + 0.5405774973692009, + 0.5900055309695973, + 0.6370608369840475, + 0.6809101818098038, + 0.7207678255140799, + 0.7559181764861219, + 0.7857369457430632, + 0.8097102337931661, + 0.8274510321461856, + 0.8387126840951395, + 0.8433989237424665, + 0.8415701965728619, + 0.8334460570981892, + 0.8194035369280218, + 0.7999714776188267, + 0.7758209243071308, + 0.7477517758973872, + 0.7166759829545697, + 0.6835976730497949, + 0.6495906628927502, + 0.6157738851449056, + 0.583285313599362, + 0.5532550120070421, + 0.5267779581444054, + 0.5048873050511105, + 0.48852873540798564, + 0.47853654286983144, + 0.4756120363093661, + 0.48030481025200844, + 0.49299735853909826, + 0.5138934300397608, + 0.5430104369279871, + 0.5801761297931167, + 0.6250296520002958, + 0.6770269807460614, + 0.7354506567278597, + 0.7994236008476016, + 0.8679267174349856, + 0.939819891534631, + 1.0138659051117307, + 1.088756725629985, + 1.1631415621031296, + 1.2356560398608127, + 1.304951816989237, + 1.3697259534145243, + 1.4287493482012552, + 1.4808935817426359, + 1.5251555366206666, + 1.5606792231207627, + 1.586774301431833, + 1.6029308708469334, + 1.6088301848989042, + 1.6043510481639787, + 1.5895717530892688, + 1.5647675211496588, + 1.530403519338199, + 1.4871236278466813, + 1.4357352352515866, + 1.3771904311460375, + 1.3125640506816623, + 1.243029098860845, + 1.169830142880642, + 1.0942553069242749, + 1.0176075344280802, + 0.9411757973054914, + 0.8662069295669544, + 0.7938787443240992, + 0.7252750587979061, + 0.661363202545295, + 0.6029745209255324, + 0.5507883104330242, + 0.5053195368097327, + 0.4669105929520397, + 0.4357272538750102, + 0.41175888286168094, + 0.39482283895536263, + 0.3845729337129663, + 0.3805116871423398, + 0.3820060414017516, + 0.3883061083797775, + 0.3985664557089106, + 0.4118693768313863, + 0.4272495458491529, + 0.44371942811754955, + 0.46029480357252395, + 0.47601976190773937, + 0.48999054683352394, + 0.5013776602493181, + 0.5094456853549055, + 0.513570349261918, + 0.5132524189635257, + 0.5081281077044745, + 0.4979757597499179, + 0.48271867797363116, + 0.46242405813592175, + 0.43729809368852907, + 0.4076774129098488, + 0.37401710367431895, + 0.3368756678463912, + 0.2968973249881737, + 0.2547921518350441, + 0.21131459815714884, + 0.16724095983711526, + 0.12334641525807988, + 0.08038224079099511, + 0.03905381506809361, + 3.5146057292891096e-16 + ], + [ + 0, + -0.03581210792269225, + -0.06812011128042693, + -0.09664446484037308, + -0.12123719335064144, + -0.14188661777474354, + -0.15871825504718864, + -0.17199185727860097, + -0.1820946572240894, + -0.18953098613248734, + -0.19490852529439787, + -0.1989215412832898, + -0.2023315347781389, + -0.20594580192927223, + -0.21059446371250226, + -0.21710656115640847, + -0.2262858416213648, + -0.23888687273360212, + -0.2555921158080635, + -0.2769905697112659, + -0.3035585596058004, + -0.3356431937605084, + -0.373448946855356, + -0.417027751548888, + -0.4662728934015905, + -0.5209169097077787, + -0.5805335927302429, + -0.6445440947473113, + -0.7122270287836074, + -0.7827323574931965, + -0.855098765938661, + -0.9282741243933663, + -1.0011385670458102, + -1.0725296436362122, + -1.141268945358682, + -1.2061895652470296, + -1.2661637277991724, + -1.320129913468675, + -1.3671188111432941, + -1.4062774557089868, + -1.4368909477251104, + -1.4584012071775243, + -1.4704222819232242, + -1.4727518121435725, + -1.4653783429327305, + -1.4484842758599605, + -1.4224443545563288, + -1.3878196865453398, + -1.3453474110433539, + -1.295926227666416, + -1.2405981013151952, + -1.1805265515044885, + -1.116972017770729, + -1.051264864475946, + -0.9847766465598258, + -0.9188903011311385, + -0.8549699571576885, + -0.7943310662232201, + -0.7382115510902099, + -0.6877446457751548, + -0.643934061554414, + -0.6076320587195825, + -0.5795209353124826, + -0.5600983631546294, + -0.5496669102103338, + -0.5483279889053608, + -0.5559803648830065, + -0.5723232523742223, + -0.5968639135228438, + -0.6289295722874292, + -0.6676833515309323, + -0.7121438470846314, + -0.7612078672318576, + -0.8136757922639024, + -0.8682789482945634, + -0.9237083438310821, + -0.9786440877749211, + -1.031784794261474, + -1.0818762833326696, + -1.1277389067452288, + -1.1682928647145483, + -1.2025809311475888, + -1.229788070621665, + -1.2492575083737334, + -1.2605029029298618, + -1.2632163675302968, + -1.2572721887972977, + -1.2427261966197702, + -1.2198108453847452, + -1.1889261708551524, + -1.150626886615317, + -1.10560597663711, + -1.0546752238963921, + -0.9987431870610022, + -0.9387911963319647, + -0.8758479841300003, + -0.8109635954224962, + -0.7451832354121475, + -0.679521708791421, + -0.6149390849498497, + -0.5523181879530177, + -0.4924444597321966, + -0.4359886810392703, + -0.38349295897350283, + -0.3353603042085834, + -0.2918480276181653, + -0.2530650871828431, + -0.21897341435886228, + -0.18939314706387228, + -0.1640115966565076, + -0.14239568126257787, + -0.12400746991611858, + -0.10822240344057353, + -0.09434969075860741, + -0.0816543250663697, + -0.06938012438916218, + -0.056773176438222675, + -0.04310505901415341, + -0.027695214651711448, + -0.00993188156753695, + 0.010708978349456649, + 0.03464726076745981, + 0.062185249657854824, + 0.09349746060012645, + 0.1286240731061707, + 0.1674681347139653, + 0.20979662113843603, + 0.2552453360515828, + 0.3033275336502553, + 0.35344604960751225, + 0.404908633771527, + 0.45694609342097114, + 0.508732781163073, + 0.5594088985800761, + 0.6081040371077499, + 0.6539613426484415, + 0.6961616709962228, + 0.7339470978089682, + 0.766643159724046, + 0.7936792319962476, + 0.8146064920541044, + 0.8291129765557371, + 0.8370353104524068, + 0.8383667684897904, + 0.8332614204670978, + 0.8220342091779697, + 0.8051569118467575, + 0.7832500395097408, + 0.7570708315838289, + 0.7274976022417018, + 0.6955107886780105, + 0.6621711365532486, + 0.6285955326885285, + 0.5959310575573151, + 0.5653278786837156, + 0.5379116394566152, + 0.5147560152247678, + 0.4968561093653613, + 0.4851033462420205, + 0.48026248592313175, + 0.48295133795688977, + 0.49362368952025165, + 0.5125558883581891, + 0.5398374349127698, + 0.5753658429920009, + 0.618845926556318, + 0.6697935641865127, + 0.7275438851298075, + 0.7912637141354234, + 0.8599680092017745, + 0.9325399293944996, + 1.0077540814416976, + 1.0843024160469006, + 1.160822179700237, + 1.2359252768239202, + 1.3082283616241852, + 1.3763829599230184, + 1.4391049189944398, + 1.4952024981045395, + 1.5436024437089257, + 1.583373440348032, + 1.6137463900624394, + 1.6341310481309659, + 1.6441286292928678, + 1.6435400942537706, + 1.632369928866509, + 1.6108253354272584, + 1.5793108644298348, + 1.5384186232281258, + 1.4889143027402882, + 1.4317193620462352, + 1.3678898010871576, + 1.2985920314845931, + 1.2250764228294884, + 1.1486491550286604, + 1.0706430451650435, + 0.9923880389347943, + 0.9151820615747079, + 0.840262911205652, + 0.7687818490228736, + 0.7017794964988195, + 0.6401645908505094, + 0.5846960779428904, + 0.5359689383534271, + 0.49440404958985523, + 0.4602422877354556, + 0.4335429675647789, + 0.414186614003801, + 0.40188195232115126, + 0.39617690222758095, + 0.39647326463887805, + 0.40204470158404393, + 0.4120575317696617, + 0.42559379853698154, + 0.4416760149577044, + 0.4592929538496459, + 0.47742582942044653, + 0.4950742125356072, + 0.5112810333180483, + 0.5251560525727424, + 0.535897226645424, + 0.5428094476418565, + 0.5453202109750639, + 0.542991843179529, + 0.5355300127710692, + 0.5227883433597056, + 0.5047690487997868, + 0.4816196123481209, + 0.4536256330215764, + 0.42120006005431226, + 0.3848691280972973, + 0.34525538927827915, + 0.30305831135917605, + 0.25903297216279003, + 0.2139674276734072, + 0.16865936357384095, + 0.12389265666758413, + 0.08041447324696042, + 0.03891351600926232, + 3.488114063755102e-16 + ], + [ + 0, + -0.03528828746502177, + -0.0668732489152217, + -0.0945379610234385, + -0.11820260002822153, + -0.13792710179591086, + -0.1539098896249807, + -0.16648269390120057, + -0.17610158995124242, + -0.183334479572974, + -0.1888453352236685, + -0.1933756113436289, + -0.19772330260292967, + -0.20272019205824285, + -0.20920788167311416, + -0.21801323211033644, + -0.22992385724708236, + -0.24566432098897417, + -0.26587366957698305, + -0.29108490201428283, + -0.32170693521921156, + -0.35800956015471325, + -0.4001118119751115, + -0.44797409297381235, + -0.5013942938969457, + -0.560008059322966, + -0.623293238782873, + -0.6905784597053244, + -0.7610556537554799, + -0.8337962673151037, + -0.9077707922566283, + -0.9818711671791108, + -1.0549355240728977, + -1.125774692873241, + -1.1931998281499883, + -1.2560504895084035, + -1.3132224910093895, + -1.3636948355149785, + -1.4065550673688623, + -1.4410224108547054, + -1.4664681116500722, + -1.482432462832286, + -1.4886380743534535, + -1.4849990334190768, + -1.47162570073276, + -1.448824991736571, + -1.4170961002424691, + -1.3771217315689483, + -1.3297550207825422, + -1.2760024162354147, + -1.217002906719237, + -1.1540040598078296, + -1.0883354171375188, + -1.0213798575446205, + -0.9545435895307736, + -0.8892254692027495, + -0.8267863577654452, + -0.7685192333771028, + -0.7156207556665928, + -0.6691649478497516, + -0.6300796119632525, + -0.5991260284525106, + -0.5768824137611274, + -0.5637315205558904, + -0.5598526669461792, + -0.565218375908885, + -0.5795956966673016, + -0.6025521686571599, + -0.6334662786472963, + -0.671542155241548, + -0.715828144954982, + -0.7652388227579116, + -0.8185799096262075, + -0.8745755021665728, + -0.9318969664243127, + -0.9891928107938723, + -1.0451188324172576, + -1.098367828039903, + -1.1476981740454515, + -1.1919606109360537, + -1.230122614077429, + -1.2612897939105454, + -1.2847238435037034, + -1.2998566374164608, + -1.30630018122754, + -1.3038522133769863, + -1.2924973676557607, + -1.272403913109165, + -1.243916195631098, + -1.2075430094702164, + -1.1639422246963467, + -1.1139020859925715, + -1.058319676767825, + -0.998177108618657, + -0.934516048015316, + -0.8684112285104588, + -0.8009436169177291, + -0.7331739053375536, + -0.6661169875907136, + -0.6007180489445484, + -0.5378308527771279, + -0.4781987482013147, + -0.42243885020022004, + -0.37102976036146673, + -0.32430310396408285, + -0.2824390603103543, + -0.24546596030526513, + -0.21326392096441635, + -0.18557238340448443, + -0.16200132153088745, + -0.142045795578563, + -0.12510344021542086, + -0.11049440319616947, + -0.09748318939686346, + -0.08530181798950039, + -0.07317366869744642, + -0.06033737728772082, + -0.04607014108246954, + -0.0297098122733338, + -0.010675189750738653, + 0.011516031833516866, + 0.03723213519570574, + 0.06671548103745223, + 0.10007415692918503, + 0.13727740247968534, + 0.1781549401668529, + 0.22240023917684462, + 0.26957763677668917, + 0.3191331407395363, + 0.37040863971732696, + 0.4226591586699224, + 0.47507271579885674, + 0.5267922679564965, + 0.5769391749866286, + 0.6246375713547959, + 0.6690390068400183, + 0.7093467076885395, + 0.7448388157733884, + 0.7748899858444133, + 0.7989907593636468, + 0.8167641867727389, + 0.8279792370284913, + 0.8325606122205231, + 0.8305946740997115, + 0.822331286189475, + 0.8081814774165937, + 0.7887109383350673, + 0.7646294664000316, + 0.7367765797409056, + 0.7061036168999631, + 0.6736527305789226, + 0.640533264285794, + 0.6078960698489523, + 0.5769063793042117, + 0.5487158852364122, + 0.5244347082098333, + 0.5051039377882416, + 0.49166942457399926, + 0.4849574748545401, + 0.4856530574174479, + 0.49428107486829187, + 0.5111911807221531, + 0.5365465403492727, + 0.5703168405494369, + 0.612275751374148, + 0.6620029372740004, + 0.7188906053220718, + 0.7821544688267099, + 0.8508488977807133, + 0.9238859259212576, + 1.0000576901949867, + 1.0780617944497015, + 1.1565290172783995, + 1.234052725901051, + 1.309219315222818, + 1.3806389648207158, + 1.446975997248923, + 1.5069781289646118, + 1.5595039301871987, + 1.6035478515198975, + 1.638262232185972, + 1.6629757758838413, + 1.67720806382111, + 1.6806797684181225, + 1.6733183331942998, + 1.6552589919839489, + 1.626841111254557, + 1.5885999502292159, + 1.5412540420487912, + 1.4856885027116093, + 1.4229346704867356, + 1.3541465645853696, + 1.2805747260114773, + 1.2035380639102928, + 1.1243943759424375, + 1.044510240157661, + 0.9652309878504528, + 0.8878514616914505, + 0.8135882412078136, + 0.7435539790138712, + 0.6787344370557242, + 0.6199687438926712, + 0.5679333134025764, + 0.5231297742764526, + 0.4858771605209373, + 0.45630850837281994, + 0.43437189713891233, + 0.41983586316916655, + 0.41229901011787473, + 0.4112035374521194, + 0.4158523153078375, + 0.4254290495644657, + 0.43902100845818365, + 0.4556437229364007, + 0.4742670286906368, + 0.4938417894379459, + 0.5133266292021373, + 0.5317140063123458, + 0.5480549834073962, + 0.5614820853162915, + 0.5712296892875846, + 0.576651458300451, + 0.5772344064075704, + 0.5726092732395064, + 0.562556980701957, + 0.5470110460932321, + 0.526055929803088, + 0.499921399806391, + 0.4689730967177018, + 0.43369957967512274, + 0.3946962223535395, + 0.3526464077397675, + 0.3083005379530288, + 0.26245342967724855, + 0.215920705338842, + 0.1695148140382113, + 0.12402132384387533, + 0.0801761182139874, + 0.03864410426381809, + 3.4503718535077355e-16 + ], + [ + 0, + -0.03466181775572277, + -0.06544847006919446, + -0.09221001661225013, + -0.11493805359628022, + -0.13376620106067938, + -0.14896658554771247, + -0.1609424025112148, + -0.17021674547538668, + -0.17741798696294508, + -0.1832620870570596, + -0.18853228683540652, + -0.194056713740633, + -0.2006844824417059, + -0.20926091644107098, + -0.2206025415098526, + -0.235472511302026, + -0.25455711793862895, + -0.2784440161172787, + -0.30760274896238904, + -0.34236810836474846, + -0.38292679332408175, + -0.4293077485112591, + -0.48137647391994176, + -0.5388334973483166, + -0.6012170970073843, + -0.6679102543980971, + -0.7381517104141241, + -0.8110508930950906, + -0.8856063862015721, + -0.9607275163067229, + -1.035258554710786, + -1.1080049612483451, + -1.1777610417406952, + -1.2433383508716525, + -1.303594148680695, + -1.3574592123142453, + -1.4039643153744032, + -1.4422647149475418, + -1.4716620305529018, + -1.4916229587859102, + -1.5017943409217522, + -1.5020141864230887, + -1.4923183510881182, + -1.4729426721539935, + -1.4443204715116174, + -1.407075449632362, + -1.3620101041273924, + -1.3100899153264558, + -1.2524236442114365, + -1.190240182937964, + -1.1248624826879985, + -1.057679155630615, + -0.9901144055450969, + -0.9235969837442699, + -0.8595288922759149, + -0.799254564333799, + -0.7440312421614511, + -0.6950012456964373, + -0.6531667814217442, + -0.6193678814163378, + -0.5942639888654019, + -0.5783196200892146, + -0.5717944365700335, + -0.5747379558456249, + -0.586989020039414, + -0.6081800278881593, + -0.6377458231542097, + -0.6749370220172766, + -0.7188374571096875, + -0.7683853188363654, + -0.8223974878576437, + -0.8795964782081739, + -0.9386393502724955, + -0.9981479081828268, + -1.0567394682089586, + -1.1130574740256969, + -1.1658012415969523, + -1.2137541406028682, + -1.2558095602288917, + -1.290994063694305, + -1.318487206701747, + -1.3376375782688534, + -1.3479747160859352, + -1.3492166503045178, + -1.341272936981238, + -1.3242431526289353, + -1.2984109317440884, + -1.2642337370707788, + -1.2223286550776422, + -1.1734546041511944, + -1.1184914280274298, + -1.0584164199273913, + -0.9942788819688864, + -0.9271733682797252, + -0.8582122878034381, + -0.7884985534383372, + -0.7190989576785507, + -0.6510189315507792, + -0.5851793040020773, + -0.5223956240348591, + -0.4633605392246864, + -0.40862964355463766, + -0.358611116814204, + -0.31355937944222667, + -0.27357288313188227, + -0.23859605137469167, + -0.20842527807380362, + -0.18271878907048528, + -0.16101007349424684, + -0.14272450172035095, + -0.12719866665269958, + -0.11370191704372362, + -0.10145949730870843, + -0.08967666913513442, + -0.0775631670922222, + -0.06435733397124356, + -0.04934929187389056, + -0.031902531832916296, + -0.0114733473005074, + 0.01237240591739513, + 0.03994567023058685, + 0.07142403238137791, + 0.10684532889412816, + 0.14610518635126818, + 0.1889585691592796, + 0.2350253027091881, + 0.2837994358077306, + 0.33466220559925086, + 0.3868982734725745, + 0.4397148140620286, + 0.49226296360924054, + 0.54366107059081, + 0.5930191422624622, + 0.6394638468954257, + 0.6821634138729604, + 0.720351772953313, + 0.7533512899488848, + 0.7805934884567005, + 0.8016371953254146, + 0.8161836100876797, + 0.8240878740863945, + 0.8253668016142367, + 0.8202025309214961, + 0.8089419550526226, + 0.7920918986031495, + 0.7703101139955857, + 0.7443922770653719, + 0.7152552639626601, + 0.6839170870431168, + 0.6514739541284819, + 0.6190749910710527, + 0.5878952300339293, + 0.559107513700188, + 0.5338539975097708, + 0.5132179471461205, + 0.49819652642314943, + 0.4896752514501909, + 0.4884047508979054, + 0.4949804201879413, + 0.5098254907167304, + 0.5331779553983357, + 0.5650817008000529, + 0.6053820961547354, + 0.6537261829989186, + 0.709567498705218, + 0.7721754554530806, + 0.8406490859504975, + 0.9139348611862322, + 0.9908481862635377, + 1.070098090385201, + 1.1503145485453343, + 1.2300778073760585, + 1.3079490375115337, + 1.3825016010137998, + 1.4523522057048908, + 1.5161912190974411, + 1.5728114330122362, + 1.6211346054861677, + 1.6602351583587651, + 1.6893604757314251, + 1.7079473287040945, + 1.7156340434639548, + 1.7122681307033825, + 1.6979092020275448, + 1.6728271108568173, + 1.6374953686160951, + 1.5925799989772642, + 1.5389241008613148, + 1.477528492191489, + 1.4095288985618364, + 1.336170231814268, + 1.2587785710500357, + 1.178731511213295, + 1.0974275808178315, + 1.016255449783714, + 0.936563650267988, + 0.8596315178012874, + 0.786642027397884, + 0.7186571504274016, + 0.6565962941551056, + 0.6012183085751055, + 0.5531074564039177, + 0.5126636440762936, + 0.48009710672073364, + 0.45542763098181216, + 0.4384882888934827, + 0.42893354651683413, + 0.4262515054283582, + 0.42977993597010633, + 0.43872567087542286, + 0.45218684866274345, + 0.46917742996565415, + 0.4886533583340732, + 0.509539701227984, + 0.5307580877654483, + 0.551253757698855, + 0.5700215510712996, + 0.5861301996175243, + 0.5987443283775092, + 0.6071436379507962, + 0.6107388127406467, + 0.6090837865050358, + 0.6018840913597048, + 0.5890011176641465, + 0.5704522174049721, + 0.5464066901204333, + 0.5171777954069513, + 0.48321103697535833, + 0.4450690575505746, + 0.40341356927183347, + 0.35898481851856057, + 0.31257914540824133, + 0.2650252450632506, + 0.21715976896550465, + 0.16980291954690396, + 0.12373468924870942, + 0.07967237669488306, + 0.0382499778531406, + 3.401949067237582e-16 + ], + [ + 0, + -0.03394172186256633, + -0.06386654822261802, + -0.0896953294948997, + -0.11149371325181413, + -0.12947037115007567, + -0.1439711842118235, + -0.15546953254736925, + -0.1645529377452317, + -0.17190640205523047, + -0.1782928757120194, + -0.18453136006636678, + -0.19147321765934913, + -0.19997730936187177, + -0.21088461194286817, + -0.22499298605329046, + -0.2430327641656732, + -0.2656438104653787, + -0.2933546704540892, + -0.3265643779231608, + -0.3655274222083792, + -0.4103423008423934, + -0.46094399380076917, + -0.5171005976988744, + -0.578414253974069, + -0.6443263968825541, + -0.7141272377569465, + -0.7869692941484566, + -0.8618846689227692, + -0.9378056876969885, + -1.0135884156362511, + -1.0880384987861251, + -1.159938712731745, + -1.2280775540474533, + -1.2912781789607528, + -1.3484269797296038, + -1.398501092826316, + -1.4405941541051899, + -1.4739396542410148, + -1.497931301975047, + -1.512139871806129, + -1.5163260950586284, + -1.5104492467577606, + -1.494671183177329, + -1.4693556938005425, + -1.4350631440930746, + -1.3925404991721664, + -1.3427069303794978, + -1.2866353141800733, + -1.2255300330724281, + -1.1607015788365946, + -1.0935385372276922, + -1.0254775981955595, + -0.9579722852614793, + -0.8924611305756711, + -0.8303360375849869, + -0.7729115707583359, + -0.7213958914853492, + -0.6768640215566417, + -0.6402340614530304, + -0.6122469213213008, + -0.5934500396733515, + -0.584185470521807, + -0.5845826161489563, + -0.5945557725123635, + -0.6138065400987969, + -0.6418310376248474, + -0.6779317421537389, + -0.7212336697195587, + -0.770704508081293, + -0.8251782202548255, + -0.8833815562433406, + -0.9439628428669967, + -1.005522369406173, + -1.0666436511662167, + -1.1259248348850002, + -1.1820095095495442, + -1.2336162036377447, + -1.279565884593515, + -1.3188068275895537, + -1.350436287041726, + -1.3737184842508707, + -1.3880985159721726, + -1.3932118893792886, + -1.3888894963072458, + -1.375157951170882, + -1.3522353298141447, + -1.3205224579728396, + -1.2805900052930204, + -1.2331617413118239, + -1.1790944010231936, + -1.1193546873978277, + -1.0549940045736752, + -0.9871215667853918, + -0.9168765632382483, + -0.8454000772392404, + -0.7738074585844225, + -0.7031618315099251, + -0.6344493869188608, + -0.5685570579912484, + -0.5062531139594502, + -0.44817112944112236, + -0.3947976982417033, + -0.3464641632170621, + -0.3033425300887421, + -0.2654456256479167, + -0.2326314522772105, + -0.20461158389045186, + -0.18096334592098462, + -0.16114542644685562, + -0.14451647931590317, + -0.13035620537772383, + -0.11788833650396308, + -0.10630490050737545, + -0.09479111450243928, + -0.08255024043130667, + -0.06882773973191468, + -0.052934084343782196, + -0.034265617898266466, + -0.012322913077442488, + 0.013273862586409385, + 0.04277298145181878, + 0.07628291082946204, + 0.11376801075536788, + 0.1550482937658308, + 0.19980325976621374, + 0.2475797124879792, + 0.2978033597368931, + 0.3497939002998958, + 0.40278320852447275, + 0.4559361455516343, + 0.5083734560650652, + 0.5591961530098073, + 0.6075107514857372, + 0.6524546880056605, + 0.6932212531897292, + 0.7290833749873332, + 0.759415615484588, + 0.7837137866536263, + 0.8016116480015771, + 0.8128942205689121, + 0.8175073353442809, + 0.8155631278341123, + 0.807341291922537, + 0.7932860127545275, + 0.773998607511464, + 0.7502260118933034, + 0.7228453561439148, + 0.6928449748915317, + 0.6613022873940337, + 0.6293590666450145, + 0.5981946851325365, + 0.5689979800767246, + 0.542938420285461, + 0.5211372793275764, + 0.504639524912196, + 0.49438712199315243, + 0.4911944174362495, + 0.49572622777124636, + 0.5084791896905744, + 0.5297668570307582, + 0.5597089398091901, + 0.5982249826235402, + 0.6450326737430006, + 0.6996508651139252, + 0.7614072699832164, + 0.8294506916915197, + 0.9027675271809203, + 0.9802021846026704, + 1.0604809586630992, + 1.1422388223722475, + 1.224048521759637, + 1.3044513026814568, + 1.3819885574928847, + 1.4552336551331195, + 1.5228232116867386, + 1.5834870699244232, + 1.636076285432771, + 1.6795884630260138, + 1.7131898490856265, + 1.7362336618010512, + 1.7482742301374832, + 1.7490766115788914, + 1.738621465876, + 1.7171050745646896, + 1.6849345111737923, + 1.642718082012757, + 1.5912512694243863, + 1.5314985156849443, + 1.4645712837533853, + 1.3917029184375784, + 1.314220906144741, + 1.2335171914171572, + 1.1510172524823465, + 1.0681486650223975, + 0.9863098926626261, + 0.9068400341022647, + 0.8309902306043846, + 0.7598973944069589, + 0.6945608596041651, + 0.6358224836575587, + 0.5843506417616163, + 0.5406284599438391, + 0.5049465284150614, + 0.477400226881835, + 0.45789168100055255, + 0.44613625666432677, + 0.441673389133792, + 0.44388143984229095, + 0.4519961775727325, + 0.46513239496189585, + 0.48230809802001223, + 0.5024706473275902, + 0.5245241861994068, + 0.5473576644081605, + 0.5698727566419821, + 0.5910109829054885, + 0.6097793633037645, + 0.6252739813862904, + 0.6367008873778592, + 0.6433938437093811, + 0.6448284984622479, + 0.6406326655368801, + 0.6305924911852845, + 0.6146543924594333, + 0.5929227614505675, + 0.5656535372024147, + 0.5332438521604945, + 0.49621805933701346, + 0.4552105375400816, + 0.41094575275883954, + 0.3642161220995971, + 0.3158582808343738, + 0.266728391811604, + 0.21767715873931553, + 0.16952521014785682, + 0.12303950906325713, + 0.07891141489450801, + 0.03773697950054535, + 3.3435443864747144e-16 + ], + [ + 0, + -0.033138241708229016, + -0.06215043952422576, + -0.08703143218853569, + -0.10792286670708157, + -0.12510909782063215, + -0.1390090456867139, + -0.15016422051227904, + -0.1592232234968019, + -0.16692312625655636, + -0.1740682135383943, + -0.18150664438684994, + -0.19010564320093537, + -0.2007258728586272, + -0.21419566623934266, + -0.2312857993954633, + -0.2526854791037232, + -0.2789801897948506, + -0.3106320005770558, + -0.3479628733144385, + -0.3911414389641437, + -0.4401736234389834, + -0.4948974082771459, + -0.5549819077550727, + -0.619930835357932, + -0.6890903214408495, + -0.7616609332543554, + -0.8367136410459421, + -0.9132093723887074, + -0.99002170378921, + -1.065962156345318, + -1.139807492852802, + -1.21032835907077, + -1.2763185732640916, + -1.3366243466612848, + -1.390172713691798, + -1.435998464951447, + -1.4732689075003345, + -1.5013058255988985, + -1.5196040791904653, + -1.5278463558074675, + -1.5259136822237525, + -1.5138914029001993, + -1.4920704406245195, + -1.460943768084602, + -1.4211981346659146, + -1.3737012076952344, + -1.3194843988432732, + -1.2597217517056831, + -1.195705363110451, + -1.128817896067461, + -1.060502814370663, + -0.9922330258961903, + -0.9254786621894949, + -0.8616747449827973, + -0.8021894952408233, + -0.7482940270507938, + -0.7011341374525856, + -0.6617048548863665, + -0.6308283444805355, + -0.6091356894676585, + -0.59705297651156, + -0.5947920108743102, + -0.6023458776210568, + -0.6194894501202832, + -0.6457848297413693, + -0.6805915837335244, + -0.7230815346321894, + -0.7722577469415179, + -0.826977257896266, + -0.885977011211771, + -0.9479023780128667, + -1.0113375893937604, + -1.0748373617341045, + -1.1369589700123908, + -1.196294016516885, + -1.25149915271583, + -1.3013250403235135, + -1.3446428830602062, + -1.380467922103548, + -1.4079793642265979, + -1.4265363002198204, + -1.4356892702001334, + -1.4351872393679836, + -1.4249798600394232, + -1.4052150105859207, + -1.3762317164337248, + -1.338548669694292, + -1.2928486695865196, + -1.2399594029895507, + -1.1808310708639755, + -1.1165114398035978, + -1.0481189568566998, + -0.9768146085790637, + -0.9037732310453918, + -0.8301549856715867, + -0.757077706046397, + -0.6855907938380287, + -0.6166512979641681, + -0.5511027517411803, + -0.4896572691954463, + -0.4328813160077513, + -0.38118547485194865, + -0.33481842160718794, + -0.2938652206786177, + -0.25824993718315487, + -0.22774245382325872, + -0.2019692736427523, + -0.18042798920661093, + -0.16250500658903852, + -0.14749603119163274, + -0.13462875387222514, + -0.1230871218464669, + -0.11203654066290276, + -0.1006493321824638, + -0.08812976942629597, + -0.07373802246729433, + -0.05681237986909669, + -0.03678915673219637, + -0.013219761993022189, + 0.014215527336728049, + 0.04569745071947308, + 0.08126157723594729, + 0.12079621430601649, + 0.16404447185364682, + 0.21061043309882266, + 0.2599692756633918, + 0.3114810831010607, + 0.36440798993658957, + 0.4179342152941172, + 0.47118846345265875, + 0.5232681061488653, + 0.5732645127827476, + 0.6202888621284979, + 0.663497753562596, + 0.7021179376225691, + 0.7354695048921442, + 0.7629869083256484, + 0.784237246303324, + 0.7989353006720381, + 0.8069549041215731, + 0.808336302491862, + 0.8032892777342262, + 0.7921919037665028, + 0.775584917708772, + 0.7541618002062975, + 0.7287547679511635, + 0.7003169863562785, + 0.6699014079743512, + 0.6386367302241015, + 0.607701042055861, + 0.5782937914194589, + 0.5516067521906234, + 0.5287946993491885, + 0.5109465138769614, + 0.4990574336798447, + 0.4940031439054119, + 0.4965163598317687, + 0.5071664989836739, + 0.5263429676315035, + 0.5542425020655184, + 0.5908609090614615, + 0.6359894450948573, + 0.6892159626757226, + 0.7499308373791295, + 0.8173375735510578, + 0.8904678731091266, + 0.968200843124464, + 1.0492859166413118, + 1.1323689699610744, + 1.2160210406417595, + 1.2987689856991198, + 1.3791273705515803, + 1.4556308473517963, + 1.526866267299313, + 1.5915037757016817, + 1.6483261608683102, + 1.6962557678604886, + 1.734378344728919, + 1.7619632607829405, + 1.7784796219155092, + 1.7836079049825782, + 1.777246839351508, + 1.7595153764121023, + 1.7307497043470847, + 1.691495382953697, + 1.6424947889383497, + 1.5846701730618071, + 1.5191027340989702, + 1.4470082082818145, + 1.369709554447577, + 1.2886073825462439, + 1.2051488248493296, + 1.120795583910518, + 1.0369919082392451, + 0.9551332453804886, + 0.8765363027125646, + 0.8024112092892501, + 0.7338364184038542, + 0.6717369215890023, + 0.6168662622096474, + 0.5697927427109918, + 0.5308901162818341, + 0.5003329437425007, + 0.4780966825797819, + 0.4639624600352508, + 0.45752636883632597, + 0.45821301532184516, + 0.4652929480200295, + 0.4779035026683398, + 0.49507251946051994, + 0.5157443219063821, + 0.5388072956888693, + 0.5631223715099121, + 0.5875516989266163, + 0.6109867989538454, + 0.6323755016680149, + 0.6507470106705965, + 0.6652344881136824, + 0.6750946207074594, + 0.6797237070073842, + 0.6786698972792433, + 0.6716413170525914, + 0.6585099115717379, + 0.639310958060774, + 0.6142383032733175, + 0.5836354924201134, + 0.5479830595343461, + 0.5078823460420898, + 0.4640363013373009, + 0.41722779434686624, + 0.36829602654185817, + 0.31811168308373244, + 0.2675514886506556, + 0.21747284724452093, + 0.16868924063920648, + 0.12194703823847869, + 0.07790433254512706, + 0.037112360197905724, + 3.275979950864031e-16 + ], + [ + 0, + -0.0322627477314268, + -0.06032506913835416, + -0.08425832754395354, + -0.10428139460873881, + -0.12075417702138577, + -0.1341671393566604, + -0.14512709478602315, + -0.1543396334273189, + -0.16258864685545377, + -0.17071348440480635, + -0.1795843404064281, + -0.19007651978980733, + -0.2030442612929715, + -0.21929481203222875, + -0.23956344398474744, + -0.2644900820791942, + -0.2945981755617215, + -0.33027639002892656, + -0.37176362832787213, + -0.4191378061244819, + -0.47230871437865457, + -0.531015198564062, + -0.5948267757855498, + -0.6631496986924079, + -0.7352373620716264, + -0.8102048370662012, + -0.8870472118886592, + -0.9646613193624708, + -1.041870343115012, + -1.1174507180115487, + -1.1901606784057062, + -1.2587697615835676, + -1.3220885446012627, + -1.3789978813444452, + -1.4284769134161939, + -1.4696291532815526, + -1.501705980407841, + -1.5241269499507406, + -1.5364963874466326, + -1.538615830204248, + -1.5304919745324888, + -1.5123398952035918, + -1.4845814170160352, + -1.4478386352158317, + -1.4029226989938344, + -1.3508180874171238, + -1.2926627171426872, + -1.2297243233917519, + -1.1633736474124994, + -1.0950550427577068, + -1.026255177190699, + -0.9584705553014734, + -0.8931746177564064, + -0.8317851857355499, + -0.775633013194872, + -0.7259321852437709, + -0.6837530587206684, + -0.6499983819891199, + -0.6253831564850575, + -0.6104187144231327, + -0.6054013874513573, + -0.610406032346146, + -0.6252845647044559, + -0.649669532814453, + -0.6829826443584235, + -0.7244480412271591, + -0.7731100053560914, + -0.8278546738590856, + -0.8874352473741655, + -0.9505000937324652, + -1.0156230817935246, + -1.0813354291760178, + -1.14615831387499, + -1.2086354841897213, + -1.2673651043393561, + -1.321030094510735, + -1.3684262633076696, + -1.4084875866583437, + -1.4403080587815313, + -1.463159626027933, + -1.4765058111838711, + -1.480010741752777, + -1.4735434081973862, + -1.4571770943577989, + -1.431184039395914, + -1.3960255057769246, + -1.3523375381599412, + -1.3009128009329933, + -1.2426789749841762, + -1.1786742748946994, + -1.1100207141233456, + -1.037895796333512, + -0.9635033445965585, + -0.8880441960153871, + -0.8126874870192511, + -0.7385432343038784, + -0.6666368786953834, + -0.597886405099257, + -0.5330825825597385, + -0.472872786074136, + -0.41774876828054025, + -0.36803864683885124, + -0.32390326484089654, + -0.2853369696509646, + -0.25217274301002307, + -0.2240915048613901, + -0.20063530793928544, + -0.18122404234148137, + -0.16517518152539734, + -0.15172602561002238, + -0.14005783641035494, + -0.1293212127964629, + -0.11866202588125492, + -0.10724722190291479, + -0.09428980674366882, + -0.07907234963441932, + -0.060968384112236, + -0.03946114067733235, + -0.014159116391973698, + 0.015191929932248932, + 0.04870087442481452, + 0.08632723220727993, + 0.12788137680042286, + 0.1730289726209835, + 0.2212995080643619, + 0.2720987092567236, + 0.32472451270013714, + 0.378386181317575, + 0.43222606521675594, + 0.4853434379554015, + 0.5368197830103966, + 0.5857448649724467, + 0.6312428967497996, + 0.6724981083877862, + 0.7087790351728164, + 0.7394608722212309, + 0.7640452890469493, + 0.782177159526582, + 0.7936577387115976, + 0.7984539061926892, + 0.7967031940097291, + 0.7887144229745047, + 0.7749638820904936, + 0.7560870987430488, + 0.7328663596633949, + 0.7062142515201232, + 0.6771535926227445, + 0.6467942210427873, + 0.6163071870932333, + 0.5868969674538307, + 0.5597723725122422, + 0.5361168563041274, + 0.5170589587809418, + 0.5036436124462248, + 0.496805029560169, + 0.4973418524494989, + 0.5058951987491831, + 0.5229301668427343, + 0.5487212859526048, + 0.5833423022116996, + 0.626660588879936, + 0.6783363581680749, + 0.7378267365977795, + 0.8043946482898454, + 0.8771223339143599, + 0.9549292201240073, + 1.036593747903456, + 1.12077867102782, + 1.2060592501338778, + 1.2909536958914385, + 1.3739551582083311, + 1.453564518722762, + 1.5283232220311915, + 1.596845377729328, + 1.6578483805195243, + 1.7101813290146761, + 1.7528505746557548, + 1.7850417991389937, + 1.8061381003036725, + 1.8157336605885603, + 1.8136426766411167, + 1.799903340921827, + 1.774776783458981, + 1.7387410014249645, + 1.6924799230183392, + 1.6368678673587016, + 1.57294977093428, + 1.501917650943619, + 1.425083864223178, + 1.3438517952146773, + 1.2596846657958125, + 1.174073202351368, + 1.0885029201865442, + 1.0044217917070342, + 0.9232090525891452, + 0.8461458697703452, + 0.7743885472842854, + 0.7089448819485552, + 0.650654202289401, + 0.6001715328112521, + 0.5579562240549077, + 0.5242652793522448, + 0.4991514944820642, + 0.4824664093879551, + 0.47386795461365705, + 0.47283256200437745, + 0.4786714022836194, + 0.49055031395653864, + 0.5075129010020758, + 0.5285062031054536, + 0.5524082835251383, + 0.5780570374830764, + 0.6042794992016483, + 0.6299209189392373, + 0.6538728927046882, + 0.6750998564155444, + 0.6926633023225528, + 0.7057431373492487, + 0.7136556789973252, + 0.7158678727032481, + 0.7120074127554389, + 0.7018685546073157, + 0.6854135169796454, + 0.6627694847515024, + 0.6342213354623987, + 0.6002003204835398, + 0.5612690338537079, + 0.5181030948670678, + 0.47147005242502066, + 0.4222060878839565, + 0.37119114694216027, + 0.3193231686854497, + 0.2674921003350558, + 0.216554389027724, + 0.1673086270658955, + 0.12047299490834708, + 0.07666509756661942, + 0.03638472628063099, + 3.2001946256190825e-16 + ], + [ + 0, + -0.03132763444244964, + -0.05841709211584577, + -0.0814180910022448, + -0.10062719748529418, + -0.11647895777996314, + -0.1295331024073525, + -0.14045815800878017, + -0.15001189536408574, + -0.15901912616267547, + -0.16834743173772787, + -0.17888146280631562, + -0.1914964888251196, + -0.2070318978453357, + -0.22626535213799004, + -0.24988829121832054, + -0.2784834425346967, + -0.3125049517593167, + -0.352261680507768, + -0.39790414100393806, + -0.4494154466363727, + -0.5066065567737366, + -0.5691159861273346, + -0.6364140360673347, + -0.7078114904414646, + -0.7824726044909717, + -0.8594321052719949, + -0.9376158183468837, + -1.015864441027237, + -1.0929598995236292, + -1.1676536580980692, + -1.2386962945001767, + -1.3048676189920847, + -1.3650065951093313, + -1.4180403195036846, + -1.4630113358519297, + -1.4991025935174622, + -1.525659414594993, + -1.5422079018993435, + -1.5484693037246955, + -1.5443699467896488, + -1.5300464543755603, + -1.5058460796882047, + -1.4723221021640056, + -1.430224353919543, + -1.3804850618742037, + -1.3242003053512936, + -1.2626074963675298, + -1.1970593877038318, + -1.1289951997910481, + -1.0599095293113925, + -0.9913197584223681, + -0.9247327222530748, + -0.861611412825185, + -0.8033424992793734, + -0.7512054271713078, + -0.7063438240289653, + -0.669739885178307, + -0.6421923443225263, + -0.6242985491777384, + -0.6164410656620888, + -0.6187791270525103, + -0.6312451297635155, + -0.6535462577534291, + -0.685171195933651, + -0.725401772302655, + -0.7733292517811792, + -0.827874894724716, + -0.8878142925046016, + -0.951804903818085, + -1.0184161406584686, + -1.0861612939512404, + -1.1535305471559736, + -1.2190243026380703, + -1.2811860408735936, + -1.3386339466487354, + -1.3900905689749858, + -1.4344098316321177, + -1.470600777811688, + -1.4978475136032743, + -1.5155249090233498, + -1.5232097196049807, + -1.5206869036658233, + -1.5079510274868484, + -1.4852027698807426, + -1.4528406560761191, + -1.411448265586226, + -1.3617772669606694, + -1.304726731394216, + -1.24131926467814, + -1.172674570807827, + -1.0999811189293378, + -1.0244666268277658, + -0.9473680978620265, + -0.8699021536083983, + -0.7932363914189188, + -0.7184624650178701, + -0.6465715379839622, + -0.5784326957568583, + -0.5147748233168119, + -0.45617236492008484, + -0.40303528153595247, + -0.3556034134727475, + -0.31394534282960224, + -0.27796173570730937, + -0.24739303043728125, + -0.22183122829099408, + -0.20073543996081236, + -0.18345074713268855, + -0.16922985604302557, + -0.1572569510739403, + -0.14667310289700375, + -0.1366025487427861, + -0.12617914295079993, + -0.11457227449924014, + -0.10101156473177451, + -0.08480969254311692, + -0.06538274496934496, + -0.04226755714819136, + -0.015135585279005291, + 0.01619705251054673, + 0.051763631917414975, + 0.0914451320632958, + 0.13497284486422567, + 0.18193521760662432, + 0.23178875135769106, + 0.2838726715194332, + 0.3374269877093269, + 0.3916134707383389, + 0.4455389970367451, + 0.49828064742754785, + 0.5489118992930142, + 0.5965292201577835, + 0.6402783573350955, + 0.6793796229206578, + 0.7131514959886305, + 0.7410319038118022, + 0.7625966003210192, + 0.7775741314506832, + 0.7858569617210789, + 0.7875084322817932, + 0.7827653252966728, + 0.7720359203784919, + 0.7558935430096472, + 0.7350657196520651, + 0.7104191666742327, + 0.682940947477379, + 0.6537162315812104, + 0.6239031784175867, + 0.5947055449180382, + 0.5673436777174558, + 0.543024596341274, + 0.5229119019060082, + 0.5080962558819785, + 0.4995671650307691, + 0.4981867818846474, + 0.504666385682048, + 0.519546147554132, + 0.5431787074298098, + 0.5757170004278943, + 0.6171066696077445, + 0.6670832923078964, + 0.7251745315913815, + 0.7907072053674726, + 0.862819146488965, + 0.9404756104617267, + 1.022489876220745, + 1.1075475824649406, + 1.1942342498459648, + 1.2810653601566862, + 1.366518299528792, + 1.449065425125475, + 1.5272074850979385, + 1.5995066104218907, + 1.6646181049444895, + 1.721320286394827, + 1.7685416756231283, + 1.8053848928730103, + 1.8311466969769234, + 1.8453336941348428, + 1.847673345191764, + 1.8381200115896708, + 1.8168558977322946, + 1.784286868509228, + 1.741033242238136, + 1.6879157783461933, + 1.6259371928309927, + 1.55625964015513, + 1.4801786951750064, + 1.399094450683059, + 1.3144804131726022, + 1.227850929901466, + 1.1407279130287575, + 1.0546076407572758, + 0.9709284107174418, + 0.8910397974243756, + 0.8161742241337158, + 0.7474215008630103, + 0.6857069061995936, + 0.6317733026299953, + 0.5861676756801716, + 0.549232378611993, + 0.5211012494600273, + 0.5017006486473152, + 0.4907553462060084, + 0.4877990706755278, + 0.4921894199230752, + 0.5031267301618584, + 0.5196764058650242, + 0.5407941323593191, + 0.5653533265855961, + 0.592174131420911, + 0.6200532262526651, + 0.647793711928431, + 0.6742343320746932, + 0.6982773149244512, + 0.7189141596045596, + 0.7352487472593472, + 0.7465172289663623, + 0.7521042272990555, + 0.751554984448015, + 0.7445831945915442, + 0.7310743690610758, + 0.7110846969834342, + 0.6848354786308728, + 0.6527033207970561, + 0.6152063903356154, + 0.5729871208779559, + 0.5267918562219994, + 0.47744798975254205, + 0.4258392206348757, + 0.37287959290108313, + 0.31948701181151284, + 0.26655694234209837, + 0.21493698708925624, + 0.1654030155193899, + 0.11863747398809728, + 0.07521044741445802, + 0.035563970420317476, + 3.1172358503268607e-16 + ], + [ + 0, + -0.030346202889008602, + -0.056454631192609545, + -0.07855444350393512, + -0.09701959125313572, + -0.11235755606639118, + -0.12519427640087938, + -0.13625565937236989, + -0.14634616372765485, + -0.15632501759037795, + -0.16708069794255254, + -0.1795043461717383, + -0.1944628241928497, + -0.2127721278529809, + -0.23517186820836172, + -0.26230150694608406, + -0.2946789902890368, + -0.332682367193807, + -0.3765349039700439, + -0.42629412044072473, + -0.48184507458848364, + -0.5428981157399717, + -0.6089912133978941, + -0.6794968526649536, + -0.7536333707280543, + -0.8304804950108359, + -0.9089987352246227, + -0.988052181387903, + -1.0664341704786422, + -1.1428952080055637, + -1.2161724693869176, + -1.2850201611928445, + -1.3482399952147723, + -1.4047110197088297, + -1.4534180622978585, + -1.4934780677209964, + -1.5241636602417832, + -1.5449233239701188, + -1.5553976731051682, + -1.5554313762677074, + -1.5450804024275087, + -1.5246143679286706, + -1.4945138820385206, + -1.455462909406782, + -1.4083362888532096, + -1.3541826660285208, + -1.2942032098055962, + -1.2297265859840583, + -1.1621807544667901, + -1.0930622351964792, + -1.0239035518566815, + -0.9562396090531138, + -0.8915737872209611, + -0.831344549121783, + -0.7768933422313447, + -0.7294345527801285, + -0.6900282203595066, + -0.6595561579668842, + -0.6387020426722632, + -0.6279359486719261, + -0.6275036896142329, + -0.6374212232821326, + -0.657474251760368, + -0.687223027017482, + -0.7260122483882439, + -0.7729858177519998, + -0.8271061031996395, + -0.8871772554599929, + -0.9518720259001465, + -1.0197614528364594, + -1.0893467161780033, + -1.1590924106783065, + -1.227460456484762, + -1.2929438529913424, + -1.3540994885002473, + -1.4095792436905568, + -1.4581586707221241, + -1.4987625908654134, + -1.5304870303175582, + -1.5526170044321232, + -1.5646397627101531, + -1.566253218048031, + -1.5573694011706578, + -1.5381129020045832, + -1.5088143809942345, + -1.4699993520606536, + -1.4223725521396342, + -1.3667983172494578, + -1.304277479270243, + -1.2359213787821544, + -1.1629236554503801, + -1.0865305269792922, + -1.0080102994186058, + -0.9286228648661106, + -0.8495899371091616, + -0.7720667516818669, + -0.6971159148473407, + -0.6256840272485239, + -0.5585816339258922, + -0.4964669649708054, + -0.43983383249410263, + -0.38900394233740004, + -0.34412376574769227, + -0.305165999924423, + -0.2719355298542899, + -0.24407969009346397, + -0.22110251698584665, + -0.2023825819209515, + -0.18719390712481407, + -0.17472938935670632, + -0.16412609563873715, + -0.1544917502840043, + -0.14493170510776082, + -0.13457567546064614, + -0.12260353381249857, + -0.1082694797777527, + -0.09092394999288712, + -0.07003269198096898, + -0.0451925015093223, + -0.016143211037638567, + 0.017224384579896754, + 0.05486487244147145, + 0.09657893150373936, + 0.1420183893446243, + 0.1906954933477798, + 0.24199615350933124, + 0.295196809874899, + 0.3494844822426368, + 0.403979475643619, + 0.45776014437938983, + 0.5098890618672155, + 0.5594399046438757, + 0.6055243376187712, + 0.6473181846135669, + 0.6840861834875706, + 0.715204658374233, + 0.74018149194055, + 0.7586728468914354, + 0.7704961665368889, + 0.7756390771210815, + 0.7742639174677033, + 0.766707731759057, + 0.7534776761808069, + 0.7352419068519579, + 0.7128161319916324, + 0.6871461227455902, + 0.6592865816956519, + 0.6303768631605283, + 0.601614122554253, + 0.574224541178772, + 0.5494333261159897, + 0.5284342209673921, + 0.51235928110814, + 0.502249666367942, + 0.4990281845780344, + 0.5034742816512362, + 0.5162021186654453, + 0.5376423051090343, + 0.5680277717310417, + 0.6073841683920308, + 0.6555250643151344, + 0.7120521128241912, + 0.776360222846897, + 0.8476476580919006, + 0.9249308648606674, + 1.0070637138793208, + 1.0927607331820468, + 1.1806238106220914, + 1.269171758466869, + 1.3568720608877605, + 1.4421740697679775, + 1.5235428765122174, + 1.5994930684054582, + 1.6686215780371911, + 1.7296388534133087, + 1.7813976141848897, + 1.8229185150347897, + 1.8534121093462521, + 1.8722965930951512, + 1.8792109083584598, + 1.8740228955059899, + 1.856832300378026, + 1.827968564700394, + 1.7879834516866913, + 1.7376386812178997, + 1.6778888671961494, + 1.6098601607701055, + 1.5348251044265175, + 1.454174290980022, + 1.369385496115509, + 1.2819910115441309, + 1.1935439466221092, + 1.1055842884814044, + 1.0196055138195719, + 0.9370225294470741, + 0.8591416839192005, + 0.7871335399687686, + 0.7220090283245322, + 0.6645995195716171, + 0.615541254067549, + 0.5752644629633201, + 0.5439873987350018, + 0.5217153741343526, + 0.5082447870567007, + 0.5031719884831768, + 0.5059067343318574, + 0.5156898525932487, + 0.5316146571993646, + 0.552651552111188, + 0.5776751952345649, + 0.6054935337647637, + 0.6348779817941133, + 0.664593988444339, + 0.6934312409018731, + 0.7202327615727783, + 0.743922191701573, + 0.763528604330004, + 0.7782082560920861, + 0.7872627683382174, + 0.7901533213872545, + 0.7865105489533398, + 0.7761399303730614, + 0.7590225933804535, + 0.7353115569472374, + 0.7053235591927429, + 0.6695267266800444, + 0.6285244457689084, + 0.5830358914894447, + 0.5338737522733636, + 0.4819197577763219, + 0.42809867024214376, + 0.3733514360911625, + 0.31860821278208656, + 0.26476198607094986, + 0.2126434746034193, + 0.1629979828186424, + 0.116464810350627, + 0.0735597578466227, + 0.03466118712901737, + 3.0282501447570647e-16 + ], + [ + 0, + -0.029332531204024855, + -0.054466994199385416, + -0.07571229951555315, + -0.09351867771574, + -0.1084640481379693, + -0.12123673251579499, + -0.13261496937817088, + -0.14344376963854838, + -0.15460972452883764, + -0.16701443220557693, + -0.181547247535784, + -0.1990580797676194, + -0.22033096446715614, + -0.24605911918395187, + -0.2768221571893109, + -0.31306608116504714, + -0.35508661019753646, + -0.403016310547688, + -0.45681590548139295, + -0.5162700343286704, + -0.5809876185178243, + -0.6504068754165616, + -0.7238049023357277, + -0.8003116359888737, + -0.8789278799983696, + -0.9585469875393925, + -1.0379796905859553, + -1.1159814838962085, + -1.1912819029741153, + -1.2626149825419695, + -1.3287501469248213, + -1.3885227671197684, + -1.4408636216787116, + -1.4848265198791304, + -1.519613385528645, + -1.5445961572190856, + -1.5593349345491505, + -1.5635918880004487, + -1.557340550646292, + -1.54077022025261, + -1.514285317902372, + -1.478499671161969, + -1.4342258130205339, + -1.3824595093428327, + -1.3243598443908122, + -1.2612253032060343, + -1.194466388604087, + -1.1255753967607143, + -1.056094046724098, + -0.9875797138884047, + -0.9215710541359872, + -0.8595538230669265, + -0.8029276930164034, + -0.7529748494207753, + -0.7108311080168586, + -0.6774602362952477, + -0.6536320879694306, + -0.6399050697670496, + -0.6366133577616706, + -0.6438591682167033, + -0.6615102682319487, + -0.6892027872747781, + -0.7263492649610538, + -0.7721517462816513, + -0.8256196158673925, + -0.8855917507544306, + -0.9507624691768519, + -1.0197106636455553, + -1.09093143213389, + -1.1628694633780068, + -1.233953392502152, + -1.302630322343032, + -1.3673997044536141, + -1.426845791820576, + -1.4796679123579195, + -1.524707867306217, + -1.560973830393779, + -1.5876602102185007, + -1.6041630376396852, + -1.6100905495713662, + -1.6052687577378888, + -1.5897419128023658, + -1.563767897813442, + -1.5278087071032398, + -1.4825162846169082, + -1.4287141062815152, + -1.3673749917332767, + -1.2995957190711358, + -1.226569090156359, + -1.1495541515590093, + -1.0698453161967214, + -0.9887411520914259, + -0.9075136070204868, + -0.8273784211664551, + -0.7494674446533385, + -0.6748035240341034, + -0.6042785527366875, + -0.5386351969571633, + -0.47845271263681666, + -0.4241371634060436, + -0.3759162363933392, + -0.3338387354290709, + -0.29777871237042913, + -0.26744408001522735, + -0.24238943729276852, + -0.22203273193644188, + -0.20567529028413734, + -0.1925246605945716, + -0.18171964737360013, + -0.17235686137446735, + -0.16351807446404137, + -0.15429765129024628, + -0.14382933104244117, + -0.13131165249664145, + -0.11603135344552305, + -0.0973841305411866, + -0.07489221611167665, + -0.048218312843719115, + -0.01717552320168399, + 0.018266984368052467, + 0.057982718692111065, + 0.10169104943468263, + 0.14896474566918372, + 0.1992416701929576, + 0.2518403214445722, + 0.3059788138581712, + 0.3607967968846148, + 0.4153797350323202, + 0.4687849081194838, + 0.5200684441023458, + 0.5683126675592723, + 0.6126530359351872, + 0.6523039432924449, + 0.6865826974113841, + 0.7149310200110278, + 0.736933480542619, + 0.7523323499482653, + 0.7610384500905215, + 0.7631376750239134, + 0.7588929693902321, + 0.7487416642484884, + 0.7332881887168572, + 0.7132922939455478, + 0.6896530411857057, + 0.6633889151669862, + 0.6356145248799887, + 0.6075144436232242, + 0.5803148165328721, + 0.5552534248126219, + 0.5335489399443032, + 0.5163701271298867, + 0.5048057643826351, + 0.4998360318059194, + 0.5023060949027854, + 0.5129025569452281, + 0.5321333896490226, + 0.5603118702207074, + 0.597544958226246, + 0.6437264399715124, + 0.6985350537594897, + 0.7614376892915896, + 0.8316976315533672, + 0.908387696786278, + 0.9904079886166811, + 1.0765078890374273, + 1.165311794516425, + 1.2553480146246176, + 1.3450801715384255, + 1.4329403755464476, + 1.5173634058593035, + 1.596821098742509, + 1.6698561369670877, + 1.7351144460332808, + 1.7913754333211052, + 1.8375793555392217, + 1.8728511664058718, + 1.8965202788021924, + 1.908135771701786, + 1.907476679674661, + 1.8945571190818267, + 1.8696261273942858, + 1.8331622174148956, + 1.7858627735066297, + 1.7286285391895402, + 1.6625435616896034, + 1.5888510663825528, + 1.50892582996867, + 1.424243703316945, + 1.3363490012429757, + 1.2468205254374878, + 1.1572370171693922, + 1.0691428475332327, + 0.9840147446522033, + 0.9032303296186976, + 0.8280391867620658, + 0.7595371302383219, + 0.6986442495254417, + 0.6460872231529526, + 0.6023862852044768, + 0.5678471153957572, + 0.542557803652172, + 0.5263909170395179, + 0.5190105736628855, + 0.519884307762669, + 0.5282993956497082, + 0.543383206129881, + 0.5641270442511275, + 0.5894128758606435, + 0.6180422545469014, + 0.6487667236346721, + 0.6803189351518477, + 0.7114437157929928, + 0.74092831709614, + 0.7676311130829866, + 0.7905080527778766, + 0.8086362361591221, + 0.8212340586296056, + 0.8276774590655767, + 0.8275119076260681, + 0.820459879221545, + 0.806423674081199, + 0.7854835653168607, + 0.7578913717841806, + 0.7240596699221601, + 0.6845469677259635, + 0.6400392648433898, + 0.5913285124727305, + 0.5392885630522131, + 0.48484926078157514, + 0.42896936830256066, + 0.3726090513084831, + 0.31670265082396687, + 0.26213246222974057, + 0.2097042111076849, + 0.16012486941258625, + 0.11398339254426867, + 0.07173488021301865, + 0.03368857354818448, + 2.9344723630643395e-16 + ], + [ + 0, + -0.028301334550551067, + -0.05248437401758845, + -0.07293729495534029, + -0.09018469682544375, + -0.1048716521704371, + -0.11774429624527125, + -0.1296274696971803, + -0.14140000590633242, + -0.15396831753325174, + -0.16823898305224227, + -0.18509106239077217, + -0.20534888050050093, + -0.2297560084824204, + -0.25895114397824004, + -0.29344654659548275, + -0.33360962128213517, + -0.3796481643621236, + -0.43159969532759634, + -0.4893251947401299, + -0.5525074572858911, + -0.6206541519441957, + -0.6931055612994526, + -0.7690468522646913, + -0.8475246139037795, + -0.9274672875787314, + -1.0077090131004467, + -1.0870163245014908, + -1.164117052771984, + -1.2377307323592421, + -1.3065997649950836, + -1.369520569620287, + -1.4253739415053306, + -1.4731538573274499, + -1.5119939956829251, + -1.5411912935427219, + -1.5602259272949972, + -1.5687771906279957, + -1.5667348385725293, + -1.5542055751875532, + -1.5315144789983028, + -1.4992012825318524, + -1.45801154714297, + -1.4088828987158575, + -1.352926610702456, + -1.291404935333102, + -1.2257046888836185, + -1.1573076900014883, + -1.0877587289693138, + -1.0186318084497352, + -0.9514954411409363, + -0.8878778157400876, + -0.829232648989717, + -0.776906528177152, + -0.7321085155616003, + -0.6958827345891211, + -0.6690845886533547, + -0.6523611782308861, + -0.6461363835148682, + -0.6506009695785, + -0.6657079522911615, + -0.6911733385689544, + -0.7264822270968486, + -0.7709001285094721, + -0.8234892402531162, + -0.883129293981212, + -0.9485424852110494, + -1.0183218987156113, + -1.0909627610746973, + -1.1648957859482583, + -1.2385218295499758, + -1.3102470446409478, + -1.3785177118189689, + -1.4418539371536279, + -1.4988814350311799, + -1.5483606636671141, + -1.58921264690017, + -1.6205408979521045, + -1.641648956786765, + -1.652053160157355, + -1.6514903797395089, + -1.639920586045231, + -1.6175242210911047, + -1.5846944879781615, + -1.5420247875631252, + -1.4902916482777837, + -1.4304336020587336, + -1.3635265546845767, + -1.2907562802731545, + -1.2133887353069754, + -1.1327389357651654, + -1.0501391706134668, + -0.9669073353695783, + -0.8843161605258655, + -0.8035640815628161, + -0.7257484508852463, + -0.651841728473656, + -0.5826712090023106, + -0.5189027506523587, + -0.4610288671916252, + -0.40936143272415554, + -0.364029130659143, + -0.3249796578735835, + -0.2919865747704085, + -0.2646605749742812, + -0.24246483768274327, + -0.22473402396075268, + -0.21069638806186716, + -0.1994983984160014, + -0.19023120212985736, + -0.1819582231944796, + -0.17374315914526176, + -0.16467763427513285, + -0.1539077797907009, + -0.14065904217702016, + -0.12425856968604755, + -0.10415459202730702, + -0.07993228834322809, + -0.0513257313505618, + -0.01822559875708997, + 0.01931754590765931, + 0.06109448490010893, + 0.10674305411971943, + 0.1557581739495427, + 0.20750593667451764, + 0.2612413777423944, + 0.3161294613151608, + 0.37126872571728775, + 0.4257169636831404, + 0.4785182575464537, + 0.5287306521064569, + 0.5754537288182353, + 0.6178553446992702, + 0.6551968179559599, + 0.6868558793745719, + 0.712346763087806, + 0.7313368810759544, + 0.7436596109370346, + 0.7493228239444775, + 0.7485128877725715, + 0.7415939928256665, + 0.7291027699881972, + 0.7117382878368755, + 0.6903476359019146, + 0.6659074144452548, + 0.6395015575655572, + 0.6122960125497283, + 0.5855108818266042, + 0.5603907025087334, + 0.5381735905671926, + 0.5200600108145702, + 0.5071819491598751, + 0.5005732596001183, + 0.5011419351597763, + 0.5096450099931692, + 0.5266667401048531, + 0.5526006340416978, + 0.5876358142981565, + 0.6317480872481059, + 0.684695986677357, + 0.7460219361934418, + 0.815058551867266, + 0.8909399814564208, + 0.972618053547032, + 1.0588828919616726, + 1.1483875407285986, + 1.239676045516257, + 1.3312143511714667, + 1.4214233040074227, + 1.5087129935427561, + 1.5915176328532143, + 1.6683301604707943, + 1.7377357502854611, + 1.7984434391224315, + 1.8493151240489485, + 1.889391242005177, + 1.9179125216031263, + 1.934337289033994, + 1.938353914741196, + 1.9298881023161452, + 1.909104843170645, + 1.8764049869678252, + 1.832416505480099, + 1.7779806533836011, + 1.7141333504343832, + 1.642082222563601, + 1.5631798419299874, + 1.4788937953914396, + 1.3907742850378582, + 1.300420021572946, + 1.2094432100703354, + 1.119434447036955, + 1.0319283473475438, + 0.9483706995051832, + 0.8700879083552943, + 0.7982594268262465, + 0.733893803925875, + 0.6778088869370651, + 0.630616613738076, + 0.5927127189455714, + 0.5642715579069016, + 0.5452461283988802, + 0.5353732442739466, + 0.5341836913120439, + 0.5410170762225469, + 0.5550409680091322, + 0.5752738294826845, + 0.600611148044542, + 0.6298541011059574, + 0.6617400344278468, + 0.6949739926106332, + 0.7282605208405352, + 0.7603349562399571, + 0.7899934457277149, + 0.8161209646443112, + 0.8377166655475087, + 0.853915958103486, + 0.8640088070557103, + 0.8674538336560085, + 0.8638879141973989, + 0.8531310846633336, + 0.8351866800984578, + 0.8102367581093435, + 0.7786329748924998, + 0.7408831963860275, + 0.6976342337008504, + 0.6496511882541605, + 0.5977939756110808, + 0.5429916658715601, + 0.48621533082283797, + 0.4284501227327405, + 0.37066732575199857, + 0.31379711805808874, + 0.2587027612179064, + 0.2061568933538542, + 0.1568205456075326, + 0.11122542857802108, + 0.06975994873334408, + 0.03265931646693115, + 2.837213802581525e-16 + ], + [ + 0, + -0.02726781590876383, + -0.05053753423617953, + -0.0702753000650592, + -0.08707736773830309, + -0.1016519071859527, + -0.11479758244334101, + -0.1273794707054076, + -0.140302960869397, + -0.1544863248112484, + -0.1708326912263436, + -0.19020216979440482, + -0.213384872221838, + -0.24107555637472364, + -0.2738505807256698, + -0.31214779965144857, + -0.3562499571357003, + -0.40627204896371294, + -0.46215302372271233, + -0.5236520833322408, + -0.5903497271665435, + -0.6616535630182242, + -0.7368087862229263, + -0.8149131082852892, + -0.8949358013408749, + -0.9757404176626187, + -1.0561106468879933, + -1.1347786901595553, + -1.210455462071332, + -1.281861879956488, + -1.3477604669790237, + -1.406986481592088, + -1.4584777916103662, + -1.5013027363399447, + -1.5346852643561688, + -1.5580266965864977, + -1.570923542861491, + -1.5731808931519862, + -1.5648210100581894, + -1.546086864190996, + -1.5174404760751392, + -1.479556054118249, + -1.4333080449365503, + -1.379754336787022, + -1.3201149759574324, + -1.255746866766348, + -1.1881150255803998, + -1.118761045488583, + -1.0492694988344624, + -0.9812330579304336, + -0.9162171486233257, + -0.8557249660667586, + -0.8011636766842375, + -0.7538126049708995, + -0.7147941590648587, + -0.6850481859808631, + -0.6653103675497685, + -0.6560951733710081, + -0.6576837797521711, + -0.6701172462806265, + -0.6931951171939826, + -0.7264794861126433, + -0.7693044330945499, + -0.8207906155204105, + -0.8798646721161566, + -0.9452829854384007, + -1.0156592451571702, + -1.0894951649677302, + -1.1652136321178195, + -1.2411935121330029, + -1.3158052937164217, + -1.3874467408859608, + -1.4545777216030904, + -1.5157534043631924, + -1.5696550558855498, + -1.6151177331150197, + -1.6511542397296035, + -1.676974809328107, + -1.6920020821751443, + -1.6958810572217609, + -1.6884838232704227, + -1.6699089996082679, + -1.6404759440879266, + -1.6007139123619187, + -1.5513464726991983, + -1.4932715935845804, + -1.427537923378832, + -1.3553178702239415, + -1.277878163969135, + -1.196548638406066, + -1.112690010199316, + -1.027661449702195, + -0.9427887379583111, + -0.8593337836954977, + -0.7784662345945866, + -0.7012378596065324, + -0.6285603050856199, + -0.5611867388994602, + -0.499697795721181, + -0.44449212596125737, + -0.39578173304925, + -0.3535921619906486, + -0.31776747935713867, + -0.287979864193319, + -0.26374351375448035, + -0.24443246040987363, + -0.22930179912994136, + -0.21751174112839025, + -0.20815384052345082, + -0.20027868900679507, + -0.19292433972849427, + -0.18514470673125197, + -0.176037190630583, + -0.1647688046897143, + -0.15060011734965648, + -0.13290638655367865, + -0.11119533632363167, + -0.08512111507835268, + -0.05449407585863735, + -0.019286128374405374, + 0.020368471173798003, + 0.06417690717321287, + 0.1116960635722052, + 0.16234503279683676, + 0.2154215414138682, + 0.2701218566253051, + 0.32556364609923377, + 0.38081118552997717, + 0.43490224566979696, + 0.48687594498809883, + 0.5358008267673393, + 0.5808024110536226, + 0.6210894826838881, + 0.6559784063670673, + 0.6849148077826234, + 0.7074920246962356, + 0.723465812568058, + 0.73276488304286, + 0.7354969587212998, + 0.7319501410933709, + 0.7225895076270104, + 0.7080489757592665, + 0.6891185928746298, + 0.6667275292203491, + 0.6419231621275836, + 0.6158467420614178, + 0.5897062213192453, + 0.5647469023338391, + 0.5422206225610808, + 0.5233542352875673, + 0.509318169261834, + 0.5011958541822493, + 0.4999547835948224, + 0.5064199519831554, + 0.5212503495687013, + 0.544919127841998, + 0.5776979628050735, + 0.6196460434016504, + 0.6706040020634104, + 0.7301929854048227, + 0.7978189387657627, + 0.8726820515809521, + 0.9537911845641461, + 1.0399829775377754, + 1.1299452214307932, + 1.22224397236222, + 1.315353792444242, + 1.4076904232963887, + 1.4976451362258598, + 1.583619959155712, + 1.6640629557873383, + 1.7375027278076847, + 1.8025813263483415, + 1.8580847940340939, + 1.902970612997863, + 1.9363914058990868, + 1.9577143245403952, + 1.9665356620199181, + 1.9626903370303201, + 1.9462560201885086, + 1.9175517992075304, + 1.8771314092202562, + 1.8257711834848966, + 1.7644530049108282, + 1.6943426572953966, + 1.6167640839799633, + 1.5331701581741806, + 1.4451106511202112, + 1.3541981495909319, + 1.262072721363081, + 1.1703661551489255, + 1.0806666093523334, + 0.994484491771372, + 0.9132203603265979, + 0.8381355838638717, + 0.7703264333390248, + 0.7107021889485388, + 0.6599677501241225, + 0.6186111251977757, + 0.586896058682351, + 0.5648599294268499, + 0.5523169254594799, + 0.5488663742514008, + 0.5539059835319035, + 0.5666496306815368, + 0.5861492309778809, + 0.6113201191871008, + 0.6409692975006961, + 0.6738258375707256, + 0.7085726769528818, + 0.7438790217362306, + 0.7784325581621926, + 0.8109706867692216, + 0.8403100227106186, + 0.8653734545691344, + 0.885214119962164, + 0.8990357377986499, + 0.9062088321323637, + 0.906282488744081, + 0.8989914001944496, + 0.8842580752337023, + 0.8621902111155215, + 0.8330733494661536, + 0.7973590548522198, + 0.7556489671142544, + 0.7086751811003704, + 0.6572774980975284, + 0.6023781697714924, + 0.5449548159034728, + 0.48601224016994143, + 0.42655389261164606, + 0.36755373270541036, + 0.30992923299580816, + 0.25451623045394467, + 0.20204628197090907, + 0.15312711297836273, + 0.10822666584964573, + 0.06766115957758871, + 0.03158746667631069, + 2.7378492871161564e-16 + ], + [ + 0, + -0.026247509264387518, + -0.04865748385071863, + -0.06777192248540986, + -0.08425522587682369, + -0.09887385839432791, + -0.11247305158520453, + -0.12595116906440518, + -0.14023241462564148, + -0.15623861030911537, + -0.1748607974653616, + -0.196931420887586, + -0.22319784364275075, + -0.2542979086008979, + -0.2907382126125971, + -0.3328756920501303, + -0.3809030356771029, + -0.434838344604145, + -0.4945193518268914, + -0.5596023982097469, + -0.6295662406728195, + -0.7037206448000014, + -0.7812195912201723, + -0.8610788060165269, + -0.9421972130982764, + -1.0233818037680074, + -1.1033753282455978, + -1.1808861379741393, + -1.2546194480850927, + -1.3233092479816728, + -1.3857500657075157, + -1.4408277892240198, + -1.4875487650555739, + -1.5250664316139955, + -1.552704800032019, + -1.5699781682051408, + -1.576606542211724, + -1.572526341212156, + -1.5578960748395108, + -1.5330968032292551, + -1.4987273162271721, + -1.455594096859312, + -1.4046962616820842, + -1.3472057940097173, + -1.284443502191415, + -1.2178512412048574, + -1.1489610292122798, + -1.0793617690650683, + -1.0106643460835636, + -0.9444659162367816, + -0.8823142220118706, + -0.8256727761861163, + -0.7758877362827854, + -0.7341572550930955, + -0.7015040361581146, + -0.6787517488737405, + -0.6665058676929838, + -0.6651393959294936, + -0.6747838194310819, + -0.6953255116862289, + -0.7264076827536985, + -0.7674378329042936, + -0.817600541231542, + -0.8758752929012625, + -0.9410589292465992, + -1.011792195478985, + -1.0865897640345556, + -1.1638730298570668, + -1.242004909210192, + -1.3193258274760145, + -1.3941900549371646, + -1.4650015433814034, + -1.53024843063408, + -1.5885354144412869, + -1.6386132506286013, + -1.6794047018118043, + -1.7100263503660476, + -1.729805790704878, + -1.7382938286794523, + -1.7352714373022828, + -1.7207513450439686, + -1.6949742625252222, + -1.6583998823540944, + -1.6116929119844003, + -1.5557045177406312, + -1.4914496666862775, + -1.4200809491713438, + -1.3428595463561899, + -1.2611240718153696, + -1.1762580629348567, + -1.0896569251397952, + -1.0026951394176857, + -0.9166945310172294, + -0.8328943649851838, + -0.7524239832169963, + -0.6762786292702196, + -0.6052990230798476, + -0.5401551500655107, + -0.4813346204061219, + -0.42913583722256105, + -0.38366608999847873, + -0.34484456485569503, + -0.31241013940748547, + -0.2859337099361595, + -0.26483468557282813, + -0.24840118081035606, + -0.23581334661987124, + -0.2261692039193059, + -0.21851228304373357, + -0.21186033066135906, + -0.20523432228477664, + -0.19768701468736066, + -0.1883302882033326, + -0.1763605636311289, + -0.16108163135877118, + -0.14192430001714507, + -0.1184623566522144, + -0.09042442792425455, + -0.05770143970441218, + -0.020349487900819117, + 0.02141194652697308, + 0.06720638366628658, + 0.11651115690026587, + 0.16867236061178595, + 0.22292353438064025, + 0.2784075866638811, + 0.3342013756109222, + 0.38934229421009314, + 0.4428561531905871, + 0.4937856193924512, + 0.5412184505928426, + 0.5843147704866508, + 0.6223326496224819, + 0.6546512990612, + 0.6807912423485124, + 0.7004309066200306, + 0.7134191634165704, + 0.7197834518412658, + 0.7197332284877561, + 0.7136586073112711, + 0.7021241753234265, + 0.6858580935839909, + 0.665736714327843, + 0.6427650611419604, + 0.6180536269607934, + 0.5927920415441604, + 0.5682202435734721, + 0.545597860413681, + 0.5261725491876256, + 0.5111480847728304, + 0.501652992796344, + 0.49871051829296353, + 0.5032106935224729, + 0.5158852221206983, + 0.5372858323731696, + 0.5677666714862961, + 0.6074712172405782, + 0.6563240756607434, + 0.7140279159553776, + 0.7800656698345649, + 0.8537079944529516, + 0.9340258697905659, + 1.0199080754385235, + 1.1100831716083104, + 1.2031454977029072, + 1.2975846017402681, + 1.3918174277916853, + 1.4842225185376834, + 1.573175437810147, + 1.65708458490143, + 1.7344265593325292, + 1.8037802420444837, + 1.8638587864723044, + 1.9135387600449751, + 1.9518857422116245, + 1.9781757675532285, + 1.991912099913957, + 1.992836933423153, + 1.9809377361140332, + 1.956448078670776, + 1.9198429215710977, + 1.8718284653588928, + 1.8133267977843586, + 1.7454556949503783, + 1.6695040484034858, + 1.5869034935161093, + 1.499196904013749, + 1.4080044909368803, + 1.3149882999175264, + 1.2218159370572366, + 1.1301243700499184, + 1.04148464712381, + 0.9573683520075128, + 0.8791165690777227, + 0.8079120702250377, + 0.7447553553368532, + 0.6904450836166848, + 0.6455633255762132, + 0.6104659480986402, + 0.5852783203699837, + 0.5698963997712413, + 0.5639931271765622, + 0.567029933686311, + 0.5782730387540306, + 0.5968141059199923, + 0.6215947197079017, + 0.6514340581628042, + 0.6850590621551352, + 0.7211363467029727, + 0.7583050624916166, + 0.7952098983487546, + 0.8305334180288465, + 0.8630269471402964, + 0.8915392677892054, + 0.9150424384145357, + 0.9326541328030791, + 0.9436559834425565, + 0.9475075178810887, + 0.943855389993561, + 0.9325377281563879, + 0.9135835462836657, + 0.8872072883719476, + 0.8537986995185456, + 0.8139083332657573, + 0.7682291136691107, + 0.7175744679942868, + 0.6628536299985927, + 0.6050447822740782, + 0.5451667574381313, + 0.4842500508057818, + 0.42330791078258123, + 0.363308267278633, + 0.3051472331548619, + 0.24962486974923556, + 0.197423846039162, + 0.1490915435619027, + 0.10502606782160874, + 0.06546652389350308, + 0.030487801917074352, + 2.6378033571231434e-16 + ], + [ + 0, + -0.025256116855657682, + -0.04687514449587627, + -0.06547200594579561, + -0.08177496332030029, + -0.09660325806889701, + -0.11084209796222369, + -0.1254156573741354, + -0.14125881061244894, + -0.1592883528383683, + -0.18037447858879868, + -0.2053132836625741, + -0.23480103223297594, + -0.2694108880814796, + -0.30957274786874345, + -0.35555673688022194, + -0.4074608356342449, + -0.4652030014176851, + -0.5285180348281351, + -0.5969593206082386, + -0.6699054474895766, + -0.7465715865523331, + -0.8260253849066617, + -0.9072070144090579, + -0.9889529066043424, + -1.0700226078848805, + -1.149128105459202, + -1.2249649072586264, + -1.2962441091252443, + -1.361724651822732, + -1.420244959427114, + -1.4707531598297299, + -1.5123351172597106, + -1.5442395552504207, + -1.565899615192982, + -1.5769502789445569, + -1.5772411818777432, + -1.5668444528916334, + -1.5460573375678672, + -1.5153994869172696, + -1.4756049239254314, + -1.4276088301765093, + -1.3725294220069353, + -1.311645306772647, + -1.2463688219063083, + -1.1782159597123993, + -1.1087735668029983, + -1.0396645765677808, + -0.9725120843527673, + -0.9089031067933615, + -0.8503528781854214, + -0.7982705275602341, + -0.7539269504378201, + -0.7184256397552636, + -0.6926771723748945, + -0.677377962502922, + -0.6729937933414336, + -0.6797485257732034, + -0.6976182605655751, + -0.7263311014448961, + -0.7653725335734405, + -0.8139962986852435, + -0.8712405176467839, + -0.9359486866767797, + -1.0067950579147795, + -1.0823138112791628, + -1.160931335121059, + -1.241000860230007, + -1.3208386370445526, + -1.3987608107828167, + -1.4731201344723068, + -1.5423416658613005, + -1.6049566207654813, + -1.6596336018682487, + -1.7052064871898693, + -1.740698344750182, + -1.7653408373349582, + -1.778588691333524, + -1.780128923632893, + -1.7698846475800059, + -1.7480134099385747, + -1.714900142361049, + -1.6711449399479292, + -1.6175460028233555, + -1.555078191310776, + -1.484867748458824, + -1.408163832846979, + -1.3263075776452036, + -1.2406994470653463, + -1.1527656973245088, + -1.0639247652174337, + -0.9755544030388477, + -0.8889603540835721, + -0.8053473189567398, + -0.725792900604432, + -0.6512251369338539, + -0.5824041361505535, + -0.5199082238769656, + -0.4641248954117344, + -0.41524674405598194, + -0.37327241034570835, + -0.33801247044712635, + -0.30910005805815205, + -0.286005896005304, + -0.26805730427123015, + -0.25446065315145733, + -0.24432664604598422, + -0.2366977481176569, + -0.23057702636806093, + -0.22495763482256062, + -0.21885216623490625, + -0.21132109928217527, + -0.20149959738796633, + -0.18862196135924533, + -0.17204310174998708, + -0.15125647663007846, + -0.12590803419651125, + -0.09580580502145698, + -0.06092490300438841, + -0.02140781437650157, + 0.022440022660622835, + 0.07015922202259924, + 0.12114979215829379, + 0.17468845797682003, + 0.2299494992658322, + 0.2860285502438989, + 0.3419687267648398, + 0.3967883857703573, + 0.44950977745217147, + 0.4991878253717538, + 0.5449382641545139, + 0.5859643784926377, + 0.6215816207265611, + 0.6512394364097479, + 0.674539696706369, + 0.6912512215012049, + 0.7013199755955473, + 0.7048746298607855, + 0.702227296981104, + 0.6938693744847695, + 0.6804625530482425, + 0.6628251724057443, + 0.6419142274742415, + 0.6188034404706756, + 0.594657917987801, + 0.5707060025841816, + 0.5482090041193224, + 0.5284295548811137, + 0.5125993729809081, + 0.5018872394590627, + 0.497367995460187, + 0.4999933466113448, + 0.5105652227778716, + 0.529712383582218, + 0.557870884823543, + 0.5952689300389454, + 0.641916527103199, + 0.6976002545132209, + 0.7618833186628926, + 0.8341109550069141, + 0.9134210956941319, + 0.998760097231019, + 1.0889031971987548, + 1.1824792520725411, + 1.2779992016787922, + 1.373887612421535, + 1.4685165734429275, + 1.5602411593059413, + 1.6474356311286489, + 1.7285295264235183, + 1.8020427867767075, + 1.8666190920121692, + 1.9210566091872316, + 1.9643354237279727, + 1.995640996827212, + 2.014383086050102, + 2.0202096726814225, + 2.0130155571251387, + 1.992945409774701, + 1.9603911961500606, + 1.9159840285517313, + 1.8605806287686395, + 1.7952447142775876, + 1.721223740777507, + 1.639921543883453, + 1.5528675196920312, + 1.4616830653698258, + 1.3680460649371553, + 1.2736542504757142, + 1.180188293999954, + 1.0892754896096182, + 1.002454869200796, + 0.9211445583804269, + 0.8466121232243228, + 0.7799485845366169, + 0.722046686142834, + 0.6735838997067415, + 0.6350105331685403, + 0.6065431859991492, + 0.5881636650980233, + 0.5796233435041288, + 0.5804528133671781, + 0.5899765580358152, + 0.6073322487504176, + 0.6314941621862356, + 0.6613001186285218, + 0.6954812592052687, + 0.7326939163082555, + 0.7715527856272897, + 0.8106645821709528, + 0.8486613568279392, + 0.8842326645113497, + 0.9161558092982739, + 0.9433234453095154, + 0.9647678829840934, + 0.9796815370712111, + 0.9874330528827244, + 0.987578758584939, + 0.9798692107538818, + 0.9642507250700959, + 0.9408619107611786, + 0.9100253530411877, + 0.8722347092090003, + 0.8281375982272264, + 0.7785147676718729, + 0.7242561133407717, + 0.6663342032777179, + 0.6057760176292672, + 0.543633657146151, + 0.4809547952757091, + 0.41875365115414, + 0.3579832433834269, + 0.2995096477497237, + 0.24408892697399298, + 0.19234732860770867, + 0.14476526014599872, + 0.10166545055369158, + 0.06320559723368956, + 0.02937567981600209, + 2.5385357101887763e-16 + ], + [ + 0, + -0.02430934221584486, + -0.04522101381486671, + -0.06341913007313893, + -0.07969077986662718, + -0.09490179098182036, + -0.10997018026662972, + -0.12583799744674065, + -0.14344231476461736, + -0.16368613867289666, + -0.1874100240015158, + -0.21536515518973354, + -0.2481886237053758, + -0.28638157653422985, + -0.3302908389560257, + -0.38009452751347456, + -0.43579206830674017, + -0.497198924028448, + -0.5639462132934617, + -0.6354852808218105, + -0.7110971500447549, + -0.7899066639209078, + -0.8709009983449764, + -0.9529521185756465, + -1.034842645490289, + -1.115294507828425, + -1.1929996812299883, + -1.2666522567475496, + -1.3349810421268518, + -1.3967818795554545, + -1.4509488643317912, + -1.4965036700572467, + -1.5326222270444854, + -1.5586580607114553, + -1.574161674362668, + -1.5788954540785916, + -1.5728436801771162, + -1.5562173472767222, + -1.529453620503499, + -1.4932098857644434, + -1.4483524840511144, + -1.3959403501862964, + -1.337203902059714, + -1.2735196441075458, + -1.206381055653956, + -1.1373664280928635, + -1.0681043924140756, + -1.0002379383252595, + -0.9353877666798396, + -0.8751158370529651, + -0.8208899715737051, + -0.7740503544941343, + -0.7357787249413443, + -0.7070709988443025, + -0.6887139766200077, + -0.6812666977506445, + -0.6850468941890795, + -0.7001228742369403, + -0.7263110400645837, + -0.7631791085051332, + -0.8100549694009003, + -0.8660409819013408, + -0.930033379964083, + -1.0007463370359164, + -1.0767401294385244, + -1.1564527410385979, + -1.2382341706974564, + -1.3203826407366455, + -1.4011818607506652, + -1.478938477600501, + -1.5520188398842971, + -1.6188842236453196, + -1.6781237050668325, + -1.728483924442479, + -1.768895062344017, + -1.7984924417391248, + -1.8166332765490587, + -1.8229082051491106, + -1.8171473737019925, + -1.7994209658707896, + -1.7700342091560652, + -1.729517020567237, + -1.6786085823342436, + -1.618237258769925, + -1.5494963752773903, + -1.4736164771954305, + -1.3919347673544793, + -1.3058624849287386, + -1.2168510329048592, + -1.1263576862036513, + -1.0358117166451535, + -0.9465817545049144, + -0.8599451698460031, + -0.7770602010996716, + -0.6989414849520997, + -0.6264395523560476, + -0.5602247526923793, + -0.5007759543579139, + -0.4483742482186247, + -0.4031017535019783, + -0.3648454969883305, + -0.33330620901680913, + -0.30801175702328304, + -0.28833482213346107, + -0.2735143196037016, + -0.26267997222918044, + -0.25487936948557255, + -0.24910678601076156, + -0.24433299250791807, + -0.23953527123178991, + -0.23372684738454985, + -0.22598496696981443, + -0.21547689040407256, + -0.2014831284446639, + -0.18341732128011787, + -0.16084225103317829, + -0.13348158016257555, + -0.10122702070910276, + -0.06414075915260173, + -0.022453085783516544, + 0.02344469720656223, + 0.07301189142635824, + 0.1255742261491437, + 0.1803434647121149, + 0.23644026875887905, + 0.2929197100192124, + 0.348798749334843, + 0.40308495006773715, + 0.4548056592147128, + 0.5030368753735435, + 0.5469310285416293, + 0.5857429224550856, + 0.6188531351693524, + 0.645788236731926, + 0.666237262535003, + 0.6800639752732339, + 0.6873145550117267, + 0.6882204730235151, + 0.683196427870452, + 0.6728333485920754, + 0.6578865966530354, + 0.6392596222856995, + 0.617983448919167, + 0.5951924685206645, + 0.5720971281188783, + 0.5499541710471939, + 0.530035163403334, + 0.5135940851389718, + 0.5018347947837204, + 0.49587918626747673, + 0.4967368453286031, + 0.5052769817867012, + 0.5222033632260404, + 0.5480329065748648, + 0.5830784983311029, + 0.6274365138488049, + 0.6809793936018659, + 0.7433535124290245, + 0.8139824494235625, + 0.8920756345149815, + 0.9766422161386933, + 1.066509865951708, + 1.1603481145030312, + 1.2566956991318936, + 1.3539913049422199, + 1.4506069939909778, + 1.5448835489751886, + 1.6351669074397048, + 1.7198448321343278, + 1.7973829534145516, + 1.8663593307904776, + 1.9254967126526268, + 1.9736917251023338, + 2.010040291457788, + 2.033858671701821, + 2.0446996137723983, + 2.042363223690147, + 2.0269022862809436, + 1.9986218996579015, + 1.9580734214836462, + 1.9060428600620933, + 1.8435339752246955, + 1.7717464795703006, + 1.6920498468355898, + 1.6059533381886186, + 1.5150729465245631, + 1.4210960312343965, + 1.325744469661881, + 1.2307371852671791, + 1.1377529255706187, + 1.0483941549603406, + 0.964152898630297, + 0.8863793249987579, + 0.8162537861615776, + 0.7547629509400177, + 0.7026805649904384, + 0.6605532597214168, + 0.6286917091869494, + 0.6071673047056101, + 0.5958143838705392, + 0.59423791712522, + 0.6018264244504866, + 0.6177697701286943, + 0.641081368056182, + 0.6706242264704951, + 0.7051401717514687, + 0.7432815182922549, + 0.7836443970527858, + 0.8248029205837231, + 0.8653433478382258, + 0.9038974182614218, + 0.939174051241725, + 0.969988653297942, + 0.99528934014876, + 1.014179462399377, + 1.0259359199022848, + 1.0300228584640818, + 1.0261004607357902, + 1.0140286678676627, + 0.9938657967010889, + 0.9658621457013679, + 0.9304488082980037, + 0.8882220316673394, + 0.8399235692975964, + 0.7864175741832706, + 0.7286646637691072, + 0.6676938557287988, + 0.604573123657704, + 0.5403793525724201, + 0.476168485016198, + 0.41294663934107084, + 0.3516429526540665, + 0.2930848527527148, + 0.23797639738896537, + 0.18688023709166926, + 0.14020366165054166, + 0.09818908267346954, + 0.060909188117896015, + 0.028266882328896195, + 2.441526044796518e-16 + ], + [ + 0, + -0.02342272080945969, + -0.04372482864209873, + -0.06165511685779969, + -0.07805375205207923, + -0.09382633322611497, + -0.10991600463748215, + -0.12727436813977888, + -0.14683197360870712, + -0.16946917889105312, + -0.19598816325645363, + -0.22708685074599522, + -0.2633354527698289, + -0.30515627397189804, + -0.3528073433790548, + -0.40637033623107943, + -0.4657431430645106, + -0.5306373243240904, + -0.6005805639703354, + -0.6749241073778296, + -0.7528550405034449, + -0.8334131420831471, + -0.9155119216548459, + -0.9979633465164204, + -1.0795056630996067, + -1.158833635162561, + -1.2346304548083313, + -1.305600534342208, + -1.3705023586509741, + -1.4281805698961634, + -1.4775964691279202, + -1.5178561526968217, + -1.5482355543084398, + -1.568201734978058, + -1.5774298512873006, + -1.5758153350874118, + -1.5634809326347006, + -1.5407783752756243, + -1.5082845841786043, + -1.4667924450318028, + -1.4172963218032708, + -1.360972608303471, + -1.2991557391918933, + -1.2333101951812329, + -1.1649991377014342, + -1.0958503936847883, + -1.0275205792826636, + -0.9616582005062224, + -0.8998665977434664, + -0.8436676090847173, + -0.794466814144658, + -0.7535211858790462, + -0.7219099235513841, + -0.7005091667979909, + -0.6899712004229239, + -0.6907086543025827, + -0.7028840851377488, + -0.7264051996086518, + -0.760925844852891, + -0.8058527553435659, + -0.8603579085232047, + -0.9233962082738995, + -0.9937280887186054, + -1.0699465140324926, + -1.15050774573798, + -1.2337651598951538, + -1.318005324842317, + -1.4014854974274387, + -1.482471663270695, + -1.5592762352852287, + -1.6302945347131734, + -1.6940392100417163, + -1.7491718005664818, + -1.7945307217886748, + -1.8291550375247463, + -1.8523034864080583, + -1.8634683458387697, + -1.862383841552839, + -1.8490289427614408, + -1.8236245180257897, + -1.7866249623688488, + -1.7387045382754773, + -1.6807387989719835, + -1.6137815786431957, + -1.53903813821789, + -1.4578351445171907, + -1.371588232771023, + -1.2817679560426556, + -1.1898649587029526, + -1.0973552240010402, + -1.0056662377364178, + -0.9161448813172469, + -0.8300278188695959, + -0.7484150758128126, + -0.6722474221651538, + -0.6022880749353738, + -0.5391091227943585, + -0.4830829556099804, + -0.43437885439949336, + -0.3929647669916205, + -0.3586141644528621, + -0.3309177463693105, + -0.3092996425479379, + -0.2930376476037356, + -0.28128692598375754, + -0.2731065406885199, + -0.2674880913573679, + -0.26338569813783974, + -0.25974653804788533, + -0.255541131060763, + -0.24979258408404786, + -0.24160403204247555, + -0.2301835655816058, + -0.21486600317508348, + -0.19513094988295965, + -0.17061668350715958, + -0.14112951890767575, + -0.10664841997668432, + -0.06732475319821674, + -0.02347720368756659, + 0.024417999115234703, + 0.0757412765332911, + 0.12974793156171235, + 0.18558992516309333, + 0.24234061464005635, + 0.29902179285860064, + 0.35463230612055124, + 0.4081774860057717, + 0.4586986076159217, + 0.50530158394919, + 0.5471841237094993, + 0.5836606172829673, + 0.6141840719776739, + 0.6383644915210238, + 0.6559831844002112, + 0.6670025886767394, + 0.6715713148251934, + 0.6700242300824185, + 0.6628775346826655, + 0.6508189090051251, + 0.6346929378304139, + 0.6154821403816815, + 0.5942840495152871, + 0.5722848874161601, + 0.5507304757966819, + 0.5308950935768092, + 0.5140490524056941, + 0.5014257986755412, + 0.49418936885460235, + 0.49340302250592577, + 0.49999985425295146, + 0.5147561427081077, + 0.5382681320047802, + 0.5709328615534901, + 0.6129335639089524, + 0.6642300415099653, + 0.7245543132009441, + 0.7934116937961879, + 0.8700873376399241, + 0.953658143403099, + 1.0430097855401068, + 1.1368585111636367, + 1.2337772227214885, + 1.332225259715673, + 1.4305811994587672, + 1.527177919846764, + 1.6203391082761276, + 1.7084163616358332, + 1.7898260037732032, + 1.8630847494669838, + 1.9268433677260477, + 1.9799175416298378, + 2.0213151858930716, + 2.050259565346599, + 2.0662076556074433, + 2.0688632989973437, + 2.058184831554566, + 2.0343869877910428, + 1.9979370254994298, + 1.9495451501151855, + 1.8901494535503527, + 1.8208957127436818, + 1.7431125152448712, + 1.6582822899995093, + 1.5680089184302184, + 1.4739826815643953, + 1.3779433613840346, + 1.2816423572593438, + 1.1868047002499669, + 1.0950918486991634, + 1.0080661279123826, + 0.927157635327669, + 0.8536343714853613, + 0.7885762778040889, + 0.7328537666292052, + 0.6871112195943646, + 0.6517558097208702, + 0.6269518738364697, + 0.6126209279880648, + 0.6084472828325804, + 0.613889081837346, + 0.6281944557824277, + 0.6504223656852275, + 0.6794675958131615, + 0.7140892615900146, + 0.7529421162722302, + 0.7946098772120265, + 0.8376397488296901, + 0.8805772961008821, + 0.9220008199347307, + 0.9605544042657677, + 0.9949788434819685, + 1.024139716934784, + 1.0470519532208402, + 1.0629003187472128, + 1.0710553704608297, + 1.07108452887568, + 1.0627580517421564, + 1.046049817753268, + 1.0211329603413664, + 0.9883705206224445, + 0.9483014126771532, + 0.901622110531369, + 0.8491645715320478, + 0.7918710027008778, + 0.7307661528245087, + 0.6669278716388218, + 0.6014567170622215, + 0.535445411083808, + 0.46994894417276784, + 0.4059561070132122, + 0.34436318756183887, + 0.28595051194667065, + 0.23136243111360627, + 0.18109126335206574, + 0.13546559823924556, + 0.09464325280137456, + 0.058609048720382875, + 0.027177453315199353, + 2.3482584682386714e-16 + ], + [ + 0, + -0.022611450101783878, + -0.042415231707820925, + -0.06021954928674037, + -0.07691122727697317, + -0.0934282529550014, + -0.11073076974177495, + -0.1297712979522969, + -0.1514649816505919, + -0.1766606614488742, + -0.20611355373632104, + -0.24046027740720755, + -0.28019691065370356, + -0.3256606842503818, + -0.3770158258858704, + -0.43424396479060656, + -0.4971393898077704, + -0.5653093300715484, + -0.638179298709744, + -0.7150034097176643, + -0.7948794496420203, + -0.8767683622135611, + -0.9595176887018035, + -1.0418884024629513, + -1.1225844855697817, + -1.2002845208687745, + -1.273674516227024, + -1.3414811405868503, + -1.4025045347339122, + -1.4556498638916846, + -1.4999568043469855, + -1.534626201732703, + -1.5590432032819788, + -1.5727962487778542, + -1.5756914030642175, + -1.567761624472753, + -1.549270685634288, + -1.5207115928894404, + -1.4827994847046784, + -1.4364591248303729, + -1.3828072390662802, + -1.3231300721334602, + -1.2588566601251936, + -1.1915284213654167, + -1.1227657615655742, + -1.05423246560988, + -0.9875987061919533, + -0.9245035374021882, + -0.8665177582456276, + -0.8151080264901452, + -0.7716030772668683, + -0.7371628540583991, + -0.7127512932159453, + -0.6991134185313226, + -0.6967573016866916, + -0.7059413300449136, + -0.7266670979942471, + -0.758678104960561, + -0.8014643054807615, + -0.8542724177408851, + -0.9161217601022748, + -0.985825253700873, + -1.0620151064067533, + -1.1431725822622376, + -1.2276611636813548, + -1.3137623335443658, + -1.3997131428034297, + -1.4837446878173426, + -1.56412060135034, + -1.6391746624796428, + -1.7073466535087076, + -1.7672156357988897, + -1.8175298801208324, + -1.8572327691109478, + -1.8854840876742143, + -1.9016762292818035, + -1.9054449693136477, + -1.8966745878664584, + -1.8754972605673441, + -1.8422867735685318, + -1.7976467546838812, + -1.7423937432482488, + -1.6775355435541393, + -1.6042454176753247, + -1.5238327704371846, + -1.4377110599012746, + -1.3473637290671614, + -1.2543089970826877, + -1.1600643701088764, + -1.0661117326367788, + -0.9738638595538204, + -0.8846331481829265, + -0.7996033089526975, + -0.719804674865004, + -0.6460936955119987, + -0.579137073452215, + -0.5194008820099707, + -0.4671448770003053, + -0.42242208367748774, + -0.385083607640917, + -0.3547884878171985, + -0.33101828422412044, + -0.3130959761276021, + -0.30020864032862854, + -0.29143328727963125, + -0.2857651567939047, + -0.28214771713548253, + -0.2795035726657107, + -0.27676546689454395, + -0.27290657014762165, + -0.2669692640034319, + -0.2580916775514883, + -0.24553129224559095, + -0.2286850110783055, + -0.20710518195508287, + -0.18051117209105116, + -0.14879620726324663, + -0.11202931384831792, + -0.07045232960720618, + -0.024472077893849933, + 0.025352073900685917, + 0.07832493050266999, + 0.1336360068198959, + 0.19038333536404456, + 0.24759990481159688, + 0.3042820221869782, + 0.35941883999062785, + 0.41202225787731117, + 0.4611563970345933, + 0.5059658545261215, + 0.5457019743395299, + 0.5797464209914264, + 0.6076314090741136, + 0.6290560263974873, + 0.6438981872787877, + 0.6522218635860524, + 0.6542793615624314, + 0.6505085392230184, + 0.641524989034519, + 0.6281093403875715, + 0.6111899627761552, + 0.5918214704115904, + 0.5711595391835913, + 0.5504326446358605, + 0.5309114124532425, + 0.5138763387343996, + 0.5005846843432379, + 0.4922373746541083, + 0.4899467422870393, + 0.49470593574332294, + 0.5073607814939005, + 0.5285848318548911, + 0.5588582572141946, + 0.5984511506230941, + 0.6474117076311863, + 0.7055596270833808, + 0.772484952280044, + 0.8475524395252697, + 0.9299114059105067, + 1.0185108735352035, + 1.1121196965797453, + 1.209351233958568, + 1.3086920167633573, + 1.4085337591833411, + 1.5072079765724677, + 1.60302240695456, + 1.6942983842199317, + 1.7794082837981113, + 1.856812155416628, + 1.9250926728762072, + 1.9829875672615607, + 2.029418766816717, + 2.0635175424964913, + 2.0846450511458854, + 2.092407776117593, + 2.0866674853076352, + 2.0675454561583164, + 2.03542085300151, + 1.9909232808933082, + 1.9349196784483556, + 1.8684958467520238, + 1.7929330389359148, + 1.7096801523435559, + 1.620322169533702, + 1.5265455831312054, + 1.4301016105852173, + 1.3327680565088549, + 1.236310711208169, + 1.1424451835223117, + 1.0528000539769409, + 0.9688822008148436, + 0.8920450975483311, + 0.8234608076164731, + 0.764096311331711, + 0.7146946947943309, + 0.675761612436355, + 0.6475573072289147, + 0.6300943384812874, + 0.6231410298621265, + 0.6262305131443774, + 0.6386751095651679, + 0.6595856638593122, + 0.6878953290560569, + 0.7223871958611463, + 0.7617250713999361, + 0.8044866404124917, + 0.8491981893757273, + 0.894370041715137, + 0.9385318409899696, + 0.9802668288999472, + 1.0182442958535685, + 1.051249432824168, + 1.0782098829731925, + 1.0982183782497816, + 1.1105509476760331, + 1.1146802977304011, + 1.1102840882825304, + 1.0972479568219158, + 1.0756632760211393, + 1.045819761676524, + 1.0081931764834837, + 0.9634284967358324, + 0.9123190208696235, + 0.8557819980346679, + 0.794831439122761, + 0.7305488398429326, + 0.6640525938738229, + 0.5964669026765075, + 0.5288909965525981, + 0.46236946883320823, + 0.3978644920544939, + 0.33623063249468593, + 0.27819290888244425, + 0.22432865425573573, + 0.17505363907960314, + 0.13061280139603726, + 0.09107580884070733, + 0.05633755089492111, + 0.02612353095870142, + 2.260205635695391e-16 + ], + [ + 0, + -0.0218902209227713, + -0.04131944556513211, + -0.05914930756495493, + -0.07630624996647196, + -0.09375276117609335, + -0.11245748285776953, + -0.1333649917342989, + -0.1573660672903462, + -0.1852692465637841, + -0.2177744358187899, + -0.25544929769014735, + -0.29870906264622404, + -0.3478003270789059, + -0.40278929915778977, + -0.46355484031931204, + -0.5297865277427699, + -0.6009878344745481, + -0.6764843922389034, + -0.7554371707368865, + -0.8368602796984375, + -0.9196429793434079, + -1.0025753742841754, + -1.084377168080083, + -1.1637287731312178, + -1.2393040054971314, + -1.3098035482345607, + -1.373988341182126, + -1.4307120504894855, + -1.478951787779591, + -1.5178362863027473, + -1.546670798925822, + -1.5649580589343035, + -1.572414737576651, + -1.5689829397945954, + -1.5548363990375937, + -1.530381160529908, + -1.496250676689497, + -1.4532953752815887, + -1.4025668969480445, + -1.34529733062118, + -1.2828738997387565, + -1.2168096660338157, + -1.1487109181421291, + -1.0802419968387447, + -1.0130883752588347, + -0.9489188592923501, + -0.8893477992651603, + -0.8358982083426219, + -0.7899666656565116, + -0.7527908433397531, + -0.7254204373581561, + -0.7086922036621577, + -0.7032097056218306, + -0.7093282682575397, + -0.7271455121067028, + -0.756497707646884, + -0.7969620532292062, + -0.8478648388168668, + -0.908295317892821, + -0.9771249741042546, + -1.053031740855078, + -1.1345286142668771, + -1.2199959955703492, + -1.3077170106023972, + -1.3959149838164933, + -1.4827921937699118, + -1.566569007649849, + -1.645522484743952, + -1.718023553020865, + -1.7825718987959034, + -1.8378277659235656, + -1.882639936682677, + -1.9160692596330442, + -1.9374071979309264, + -1.9461889922336224, + -1.9422011624386661, + -1.9254832088992568, + -1.896323513094242, + -1.8552495765999277, + -1.8030128722212846, + -1.7405687090007231, + -1.6690516304242584, + -1.5897469696357869, + -1.504059274326958, + -1.4134783850586425, + -1.319544002398573, + -1.2238096092195552, + -1.1278066240974887, + -1.0330096498108017, + -0.9408036478375906, + -0.8524538163610511, + -0.7690788770145452, + -0.6916283862764849, + -0.6208645833312969, + -0.5573491699770848, + -0.5014352927082881, + -0.4532648655811977, + -0.4127712381726337, + -0.3796870792207943, + -0.35355721672344625, + -0.3337560525887421, + -0.3195090574299106, + -0.3099177515481149, + -0.3039874940102203, + -0.3006573350622688, + -0.2988311395465526, + -0.29740916165107995, + -0.2953192448470678, + -0.2915468353712477, + -0.2851630326677863, + -0.2753499548870737, + -0.26142277042218687, + -0.24284783566999138, + -0.21925648244681792, + -0.1904541131322215, + -0.1564243847389654, + -0.11732839158260538, + -0.07349888678785056, + -0.025429712208815947, + 0.02623926882312574, + 0.08074132434124408, + 0.13720557406141776, + 0.1946826658704971, + 0.2521727196914366, + 0.3086547901167927, + 0.3631170585845026, + 0.41458694549000813, + 0.4621603330177824, + 0.5050291106410613, + 0.5425062966658015, + 0.5740480498571883, + 0.5992719635730305, + 0.6179711289788952, + 0.6301235614765698, + 0.6358967027423169, + 0.635646836773097, + 0.6299133889078392, + 0.6194082086373293, + 0.6050000668140414, + 0.587694722341118, + 0.5686110294050064, + 0.5489536608729567, + 0.5299831139396731, + 0.5129837381593191, + 0.4992305817285656, + 0.4899558878364567, + 0.48631608810184723, + 0.4893601341293836, + 0.4999999811090064, + 0.5189839897670915, + 0.5468739459675153, + 0.5840263124616816, + 0.6305782267478202, + 0.6864386451676742, + 0.7512849090249353, + 0.8245648767041129, + 0.9055046297418857, + 0.9931216239091467, + 1.0862430219829895, + 1.1835288163512807, + 1.2834992300882113, + 1.38456577764072, + 1.485065273456468, + 1.583296001088889, + 1.677555198445291, + 1.7661769783472405, + 1.8475697883963522, + 1.920252520709083, + 1.9828884102905708, + 2.0343159100192514, + 2.0735757992515507, + 2.0999338702819443, + 2.112898640211918, + 2.1122336526976175, + 2.097964061730478, + 2.070377324960574, + 2.030017973811185, + 1.977676568357322, + 1.9143730832266508, + 1.8413351032621263, + 1.7599713311361331, + 1.6718410205206002, + 1.578620045085223, + 1.4820643931655626, + 1.3839719384827558, + 1.2861433773407571, + 1.1903432413115544, + 1.0982618911053514, + 1.011479372209443, + 0.9314319665982872, + 0.8593822085172805, + 0.7963930476634237, + 0.7433067421149261, + 0.7007289485835991, + 0.6690183517989541, + 0.6482820411678737, + 0.638376704564048, + 0.6389155695722991, + 0.6492808851542811, + 0.6686416048653525, + 0.6959758096475254, + 0.7300972968402621, + 0.7696856650851086, + 0.813319144587917, + 0.859509360662312, + 0.9067371770646976, + 0.9534887453002069, + 0.998290887263236, + 1.0397449611768352, + 1.0765584041840928, + 1.1075732079809053, + 1.1317906649390796, + 1.148391819184261, + 1.15675316760749, + 1.1564572770148582, + 1.1472981125109427, + 1.129281005538366, + 1.1026173244253439, + 1.0677140424728404, + 1.0251585252537838, + 0.9756989767547448, + 0.9202210903449849, + 0.8597215426837795, + 0.7952790443103022, + 0.7280237179535307, + 0.659105613167201, + 0.5896631828477473, + 0.520792543159951, + 0.45351831353095523, + 0.38876678835530687, + 0.3273421280635385, + 0.2699061759006427, + 0.21696241022732776, + 0.1688444328648848, + 0.1257092747407052, + 0.08753567389017698, + 0.05412735093844838, + 0.025121176819868786, + 2.1788127918481135e-16 + ], + [ + 0, + -0.02127305198730117, + -0.04046295739032061, + -0.05847812819651207, + -0.07627702639912654, + -0.09483832025242403, + -0.11513035521785643, + -0.1380807598986298, + -0.1645470052668493, + -0.19528871247769275, + -0.23094246110276195, + -0.2719997867795524, + -0.31878897663430394, + -0.3714611744095557, + -0.4299811974332218, + -0.494123347159832, + -0.5634723670240065, + -0.6374295689934402, + -0.7152240168300116, + -0.7959285230305755, + -0.8784800910375795, + -0.9617043177617315, + -1.0443431667065006, + -1.1250854316990913, + -1.202599137729204, + -1.2755650705743484, + -1.342710592184221, + -1.4028428851420407, + -1.4548807773293138, + -1.4978843270685853, + -1.5310813988499963, + -1.5538905290883476, + -1.565939468545548, + -1.5670788909783477, + -1.5573908737262945, + -1.5371918824984834, + -1.5070301264438748, + -1.4676772874048938, + -1.420114765657504, + -1.365514720010512, + -1.3052163095128166, + -1.2406976639858467, + -1.1735442181714972, + -1.105414136775729, + -1.038001632773586, + -0.9729990371268764, + -0.9120585131274503, + -0.8567543220013984, + -0.8085465378083988, + -0.7687470792031075, + -0.7384888739873668, + -0.7186989007899847, + -0.7100757623741089, + -0.7130723391500833, + -0.7278839520212055, + -0.7544423336028733, + -0.7924155692879623, + -0.8412140279250598, + -0.9000021594777035, + -0.9677158974077182, + -1.0430852700741224, + -1.124661701410882, + -1.2108493695632774, + -1.2999398957401698, + -1.3901495566245206, + -1.4796581541945195, + -1.5666486381846074, + -1.6493465595907104, + -1.7260584389936013, + -1.7952081608929646, + -1.8553705540252114, + -1.9053013865727548, + -1.943963092558956, + -1.9705456494101286, + -1.984482144104286, + -1.985458693632526, + -1.9734185215266695, + -1.948560132624116, + -1.9113296696132764, + -1.8624076737768318, + -1.8026906053392502, + -1.7332676026927727, + -1.6553930715161094, + -1.5704557917090585, + -1.4799453098114737, + -1.3854164452502398, + -1.2884527789310463, + -1.1906300114386081, + -1.0934800750361995, + -0.9984568589087318, + -0.9069043613541441, + -0.8200280170939818, + -0.7388698642310082, + -0.664288115759468, + -0.596941587452751, + -0.5372793102628995, + -0.4855355241714603, + -0.44173011501687376, + -0.40567441957150385, + -0.37698219044695247, + -0.35508538459339634, + -0.33925432039733977, + -0.32862164161013946, + -0.32220943418904485, + -0.3189587668651904, + -0.31776086970440554, + -0.31748912846072247, + -0.31703105699805284, + -0.3153194158057589, + -0.3113616714584459, + -0.30426703904106955, + -0.2932704158400385, + -0.2777525982745138, + -0.2572562729602157, + -0.23149738443150775, + -0.20037160355020708, + -0.16395574891071457, + -0.12250414535201232, + -0.07644003566377013, + -0.02634229037998172, + 0.027072217075051416, + 0.08297008978741596, + 0.14042616075847045, + 0.19845085427058096, + 0.2560194207797584, + 0.3121022613591312, + 0.36569552828698076, + 0.4158511798118595, + 0.461705679666469, + 0.5025065652412652, + 0.5376361616439482, + 0.5666317908337491, + 0.5892019138309326, + 0.6052377474372848, + 0.6148200123670419, + 0.6182205942787423, + 0.6158990297821971, + 0.6084938627817594, + 0.5968090491446251, + 0.5817957163001606, + 0.5645297057267064, + 0.5461854372865609, + 0.5280067322020475, + 0.5112753136247727, + 0.4972777681228246, + 0.48727179632430667, + 0.48245260522100064, + 0.4839202975774713, + 0.492649095364003, + 0.5094591945276125, + 0.5349919886516922, + 0.5696893205538501, + 0.6137773255254293, + 0.6672553200408335, + 0.7298900680424827, + 0.8012156263208484, + 0.8805388342687787, + 0.9669503747520688, + 1.0593411954264262, + 1.1564239469459694, + 1.2567589694473116, + 1.3587842445665932, + 1.460848629901293, + 1.561247608776993, + 1.6582607225355561, + 1.750189806991385, + 1.835397130379484, + 1.9123425276944814, + 1.9796186459083873, + 2.035983455728065, + 2.0803892473528993, + 2.11200740865105, + 2.1302483823487948, + 2.1347763118566485, + 2.125518010504912, + 2.102666023197298, + 2.0666756895550837, + 2.0182562601112513, + 1.9583562585575602, + 1.8881434200040874, + 1.808979664345091, + 1.7223916819918235, + 1.6300378135544373, + 1.5336719929923222, + 1.4351055931661831, + 1.3361680619313496, + 1.2386672647199433, + 1.1443504553035704, + 1.054866779982428, + 0.971732182228789, + 0.8962975157732933, + 0.8297205957204864, + 0.772942821448662, + 0.7266708941459261, + 0.6913640285841296, + 0.6672269261591598, + 0.6542086375793911, + 0.652007302257252, + 0.660080610906905, + 0.6776617015042365, + 0.7037800699454939, + 0.737286958579036, + 0.7768845811446202, + 0.8211584540618797, + 0.8686120335904507, + 0.9177028078126589, + 0.9668789628474057, + 1.0146157348520026, + 1.0594505733307784, + 1.1000162766308936, + 1.1350713163241022, + 1.1635266420016848, + 1.1844683499349953, + 1.1971757057431434, + 1.2011341299694005, + 1.1960428833121455, + 1.1818173219798587, + 1.1585857298989022, + 1.1266808698983606, + 1.0866265271580837, + 1.039119441877111, + 0.9850071412364004, + 0.9252622804988213, + 0.8609541870558827, + 0.7932183673398179, + 0.7232247831668097, + 0.6521457301474414, + 0.5811241556961494, + 0.5112432378259204, + 0.4434980087936481, + 0.3787697507511801, + 0.31780381533806523, + 0.26119142756260566, + 0.20935592870466455, + 0.16254379603289484, + 0.12082065183865863, + 0.0840723438332745, + 0.05201104664641671, + 0.024186203357073627, + 2.1054818888701384e-16 + ], + [ + 0, + -0.020773129414140307, + -0.03986921821745675, + -0.058236190987747904, + -0.07685643446398548, + -0.0967161171892581, + -0.11877428406288937, + -0.14393255746417583, + -0.17300626230676752, + -0.20669775707059376, + -0.24557269741370252, + -0.29003988477349124, + -0.3403352612829282, + -0.39651050663690807, + -0.45842657490132577, + -0.525752382621083, + -0.5979687271412824, + -0.674377379146937, + -0.7541151594559378, + -0.8361726804549774, + -0.9194173105325976, + -1.0026198085361984, + -1.0844839774963837, + -1.1636786051238281, + -1.238870894995186, + -1.308760548559486, + -1.3721136352768668, + -1.4277953869875069, + -1.4748010731018109, + -1.5122841549631094, + -1.539580979789459, + -1.5562313554714862, + -1.561994445236356, + -1.5568595334073259, + -1.5410513374515864, + -1.5150296741755114, + -1.4794834260323522, + -1.4353188936465158, + -1.383642759366543, + -1.3257400204991259, + -1.2630473765252874, + -1.1971226689291288, + -1.1296110724242279, + -1.0622088198326052, + -0.9966253075521746, + -0.9345444727969053, + -0.8775863564659762, + -0.8272697659803435, + -0.7849769306489836, + -0.7519209985720589, + -0.7291171597703671, + -0.7173580966775308, + -0.7171943623464516, + -0.7289201711331423, + -0.7525649590244322, + -0.7878909342641413, + -0.8343966968200305, + -0.8913268609764367, + -0.9576874724456602, + -1.0322668733445695, + -1.113661538544816, + -1.2003062884388074, + -1.290508178956151, + -1.382483282254147, + -1.4743955030186937, + -1.5643965274125997, + -1.6506659755566648, + -1.7314508246527727, + -1.8051031885365025, + -1.8701155801101914, + -1.9251528447466781, + -1.9690800338491607, + -2.0009855863063657, + -2.020199299172909, + -2.026304694743639, + -2.0191455261925393, + -1.9988263048049528, + -1.9657068751004994, + -1.9203912063230755, + -1.8637107063950917, + -1.7967024941448293, + -1.7205831842670387, + -1.6367188441938567, + -1.5465918703093637, + -1.4517656006206057, + -1.3538475304453435, + -1.2544520257391973, + -1.155163434738405, + -1.0575004825596879, + -0.9628827957416289, + -0.8726003454314867, + -0.787786520524135, + -0.7093954475218643, + -0.6381840646011492, + -0.5746993361006697, + -0.5192708634310105, + -0.472009012511504, + -0.43280853965937915, + -0.4013575608344967, + -0.37715157668731375, + -0.35951214125461556, + -0.3476096484803818, + -0.34048961081224477, + -0.337101720392675, + -0.33633091787446406, + -0.33702964822846787, + -0.33805045816531853, + -0.33827808652416624, + -0.33666021721390027, + -0.33223610351066846, + -0.32416233167966474, + -0.31173506946025764, + -0.2944082389333078, + -0.2718071612703138, + -0.24373734008992676, + -0.2101881775827314, + -0.17133154997173705, + -0.1275153028931251, + -0.07925185951159194, + -0.02720226127648057, + 0.02784392004028947, + 0.08499225301259278, + 0.14327006063571937, + 0.2016552616707088, + 0.2591066646765342, + 0.3145949015898874, + 0.3671331700206972, + 0.4158069570670286, + 0.4598019423376893, + 0.49842932339117496, + 0.5311478718220083, + 0.557582111124074, + 0.5775361061580091, + 0.5910024660688645, + 0.5981662850258113, + 0.5994038751049148, + 0.5952762797351102, + 0.5865176909941099, + 0.574019026267823, + 0.5588070460283407, + 0.5420195115398484, + 0.5248769861926751, + 0.508651974216029, + 0.49463616341977706, + 0.48410659247965454, + 0.47829159669615107, + 0.4783373982210814, + 0.48527619708541325, + 0.49999658814694053, + 0.5232170770151063, + 0.5554633963323701, + 0.5970502342183901, + 0.6480678813860632, + 0.7083741849845255, + 0.7775920685140192, + 0.8551127413529265, + 0.9401045818840497, + 1.031527538350681, + 1.1281527548750199, + 1.228586999922385, + 1.3313013541305314, + 1.4346635068450073, + 1.5369729185999386, + 1.636498032473748, + 1.7315146626098847, + 1.8203446546228208, + 1.9013939009903498, + 1.9731888052063855, + 2.0344103212288123, + 2.0839247488535184, + 2.120810539803572, + 2.144380461770291, + 2.154198576158196, + 2.1500916072488145, + 2.132154412955454, + 2.1007494070789745, + 2.056499926597448, + 2.0002776815368177, + 1.9331845658691735, + 1.8565292422381279, + 1.7717990378434791, + 1.6806278004954331, + 1.5847604599515202, + 1.4860151178373417, + 1.3862435478234634, + 1.2872910248691651, + 1.1909564173527636, + 1.09895346843325, + 1.0128741632249485, + 0.9341550270573653, + 0.8640471285050416, + 0.8035904707708381, + 0.7535933486073355, + 0.7146171278781103, + 0.6869667740395649, + 0.6706873174706076, + 0.6655663010786506, + 0.6711421124495611, + 0.6867179624817947, + 0.7113811383709947, + 0.7440270342521589, + 0.7833873507838796, + 0.8280617581817112, + 0.8765522380035403, + 0.9272992592507002, + 0.9787189054826612, + 1.0292400525414527, + 1.0773407014975498, + 1.12158259836727, + 1.1606433202784294, + 1.193345075819091, + 1.218679553546827, + 1.235828254870272, + 1.2441778631566753, + 1.2433303270587368, + 1.2331074695267341, + 1.213550071439545, + 1.1849115168199333, + 1.1476462217589272, + 1.1023931981038853, + 1.049955222470062, + 0.9912741882631158, + 0.9274033105121839, + 0.8594769281519484, + 0.7886787041359101, + 0.716209059070915, + 0.6432526881074505, + 0.5709470033077788, + 0.5003523148911203, + 0.4324245154021913, + 0.36799096225982997, + 0.3077301680905312, + 0.25215580694738304, + 0.20160543054805333, + 0.15623416494096592, + 0.11601352767370426, + 0.08073537190149793, + 0.050020830326555424, + 0.023334001785767396, + 2.041555955207608e-16 + ], + [ + 0, + -0.02040265304590808, + -0.03955936003829874, + -0.058449738769215526, + -0.07807158416401798, + -0.09940960813101052, + -0.12340442796745674, + -0.15092263911183654, + -0.1827287812430957, + -0.2194599591278136, + -0.26160381239404945, + -0.3094804432496129, + -0.36322881019931896, + -0.4227979815869653, + -0.4879435181664399, + -0.5582291220304265, + -0.6330335534190458, + -0.7115626806220557, + -0.7928663948223155, + -0.8758599946817263, + -0.9593495279673605, + -1.0420604725444986, + -1.1226690493053797, + -1.1998353873618441, + -1.2722377089763848, + -1.3386066696276855, + -1.3977589781743562, + -1.4486294336262175, + -1.4903005483390819, + -1.5220289817560204, + -1.5432680828390954, + -1.5536859312897158, + -1.5531783753113353, + -1.541876684397578, + -1.520149566472801, + -1.4885994364536208, + -1.4480529645428388, + -1.399546073821074, + -1.3443036944674045, + -1.2837147127983326, + -1.2193026740078203, + -1.1526929050078014, + -1.0855768154159373, + -1.0196742082089538, + -0.9566944849942419, + -0.8982976628775955, + -0.8460561296758305, + -0.8014180514400994, + -0.7656733111751849, + -0.7399228010671575, + -0.7250518138015626, + -0.72170818349994, + -0.7302857157092907, + -0.7509133214302492, + -0.7834501353787481, + -0.8274867568142569, + -0.8823526057830217, + -0.9471292420571973, + -1.0206693519451602, + -1.1016209729674276, + -1.1884564014311119, + -1.2795051162406277, + -1.3729899565754715, + -1.4670657136796206, + -1.5598592398249531, + -1.6495101419222886, + -1.7342111141188237, + -1.812246973350397, + -1.8820314939650191, + -1.9421411914020599, + -1.9913452791712103, + -2.028631116198637, + -2.053224570714423, + -2.064604849567809, + -2.0625134751665293, + -2.046957232879208, + -2.018205056274488, + -1.9767789624658654, + -1.9234392915512943, + -1.8591646392291044, + -1.7851269968522214, + -1.7026627254154838, + -1.613240086544105, + -1.5184241321428253, + -1.4198398130997665, + -1.319134204933777, + -1.2179387636720123, + -1.1178325182359432, + -1.0203070764411915, + -0.9267342711699584, + -0.8383372026696908, + -0.7561653440770656, + -0.6810742724184797, + -0.6137104691439607, + -0.5545015056823787, + -0.50365179378396, + -0.4611439409335542, + -0.42674561135244127, + -0.4000216565346233, + -0.3803511492748414, + -0.36694883495827163, + -0.35889040646262665, + -0.3551409170144828, + -0.3545855709950913, + -0.35606207781327076, + -0.3583937198706632, + -0.3604222731320705, + -0.3610399281336235, + -0.35921939012029097, + -0.3540413885686826, + -0.34471889727062777, + -0.33061745459396125, + -0.31127107722839814, + -0.28639337701612017, + -0.2558836163949887, + -0.2198275703452106, + -0.17849319816724063, + -0.13232126349523168, + -0.08191117224403194, + -0.028002422373794647, + 0.028547826708978402, + 0.08679045649556011, + 0.14571266973361618, + 0.20426808780065728, + 0.2614078563732974, + 0.3161119237171576, + 0.36741965041979974, + 0.4144589254904244, + 0.4564730010609306, + 0.492844315514333, + 0.5231146512981388, + 0.5470010670359581, + 0.5644071514864706, + 0.5754292667015988, + 0.580357576390293, + 0.5796717897596262, + 0.5740316875940991, + 0.564262632599978, + 0.5513363966624268, + 0.5363477603285859, + 0.5204874514234166, + 0.5050120873827736, + 0.49121186714998694, + 0.4803768212342583, + 0.4737624711374355, + 0.47255577068705085, + 0.47784220126448623, + 0.4905748704300507, + 0.5115464195117676, + 0.5413644813685581, + 0.5804313462993644, + 0.6289283939602246, + 0.6868057346085211, + 0.7537773768196425, + 0.8293221041137754, + 0.9126901030064497, + 1.0029152433097066, + 1.0988327715668922, + 1.1991020437732467, + 1.302233797365891, + 1.4066213480038676, + 1.5105749967636257, + 1.6123588505547413, + 1.7102291949052442, + 1.8024735153975275, + 1.8874492430663368, + 1.9636213005745804, + 2.0295975499813195, + 2.084161288878225, + 2.1263000085218398, + 2.155229713740499, + 2.1704142077811515, + 2.1715788633906556, + 2.1587185314413886, + 2.132099377159789, + 2.0922545781291615, + 2.039973964209635, + 1.9762878237954058, + 1.9024452398976162, + 1.8198874500112914, + 1.730216842415938, + 1.6351623055785696, + 1.53654173413981, + 1.4362225624543208, + 1.3360812431838462, + 1.2379626128775545, + 1.1436400882314472, + 1.0547776157649376, + 0.9728942545118032, + 0.8993322070613595, + 0.8352290304870451, + 0.7814946574236493, + 0.7387937412888052, + 0.7075337112399066, + 0.6878587850609944, + 0.6796500451483458, + 0.6825315376053985, + 0.695882210711755, + 0.7188533702023523, + 0.7503911982602359, + 0.789263764059454, + 0.8340918489760695, + 0.8833828217399994, + 0.9355667299334229, + 0.9890337259867565, + 1.0421719193043175, + 1.093404741953286, + 1.1412269335056933, + 1.1842382906157416, + 1.2211743876872165, + 1.250933554971593, + 1.2725994975967845, + 1.2854590509011676, + 1.2890146912183589, + 1.2829915538195165, + 1.2673388477540373, + 1.2422256973906745, + 1.2080315790615217, + 1.1653316549068111, + 1.1148774314952892, + 1.0575732849507709, + 0.9944494943371618, + 0.9266325084872526, + 0.8553132362690782, + 0.781714194901461, + 0.7070563742989053, + 0.6325266770199643, + 0.5592467732332466, + 0.4882441687668094, + 0.42042622286499, + 0.356557772338904, + 0.2972429224218326, + 0.24291145429681912, + 0.1938101777667751, + 0.14999942797977023, + 0.11135477079582276, + 0.07757384569422117, + 0.04818814151171405, + 0.022579372155996327, + 1.988303888215097e-16 + ], + [ + 0, + -0.020172691312177183, + -0.039551934030124934, + -0.05914073431261991, + -0.07994343417373195, + -0.10293413976322663, + -0.12902588102540896, + -0.15904133521223274, + -0.19368590739242625, + -0.2335239013441193, + -0.27895843554124883, + -0.3302156633188469, + -0.3873337461325973, + -0.4501569068856565, + -0.5183347596517734, + -0.5913269760718094, + -0.6684132106745739, + -0.7487080708605899, + -0.8311807857439152, + -0.91467910480817, + -0.9979568455308336, + -1.0797044116155516, + -1.1585815227431242, + -1.233251334889498, + -1.3024150888761357, + -1.3648464050178308, + -1.4194243440807977, + -1.4651643792724123, + -1.5012464701124322, + -1.5270394957018478, + -1.5421213905127846, + -1.5462944282983946, + -1.5395952165676074, + -1.5222990924246838, + -1.4949187472837042, + -1.4581970496640742, + -1.4130941784544748, + -1.360769320153673, + -1.3025573191549649, + -1.2399407967642802, + -1.1745183691716112, + -1.107969694165354, + -1.042018158486904, + -0.9783920802927261, + -0.9187853426250701, + -0.8648183930114351, + -0.8180005407831252, + -0.7796944574509362, + -0.7510837370869073, + -0.7331443042667998, + -0.726620368378716, + -0.7320055171275085, + -0.7495294214173335, + -0.779150491394409, + -0.8205546824895656, + -0.8731605042395779, + -0.9361301370405827, + -1.0083864163910061, + -1.0886353041632333, + -1.1753933354165766, + -1.2670194104247379, + -1.3617501978370838, + -1.457738328755704, + -1.5530924950883465, + -1.6459185204487843, + -1.7343604492158695, + -1.8166406996765507, + -1.891098350450378, + -1.9562246750445673, + -2.010695106294507, + -2.053396898958006, + -2.0834518627288894, + -2.100233656864812, + -2.10337926857108, + -2.0927944370403395, + -2.0686529301984606, + -2.031389728202913, + -1.9816883129936416, + -1.9204624031680795, + -1.8488326047362358, + -1.7680985677222782, + -1.6797073432261223, + -1.5852187229205115, + -1.4862684109435635, + -1.3845299251427141, + -1.2816761495413382, + -1.1793414621890534, + -1.0790853422339046, + -0.9823583176907374, + -0.8904710520889436, + -0.8045672855930303, + -0.7256012464030682, + -0.6543200337816377, + -0.5912513477996839, + -0.5366968060112745, + -0.490730947129492, + -0.4532058798771689, + -0.4237613950582335, + -0.40184022401650005, + -0.38670800035937747, + -0.37747736724325415, + -0.37313557246584367, + -0.3725748105409062, + -0.3746245068659535, + -0.3780846955787206, + -0.3817596207617142, + -0.3844906907829549, + -0.3851879376892399, + -0.382859177079281, + -0.3766361276269276, + -0.36579683174321564, + -0.3497838176407162, + -0.32821755576552425, + -0.3009048863158069, + -0.26784222622215476, + -0.22921350017979167, + -0.1853828776412769, + -0.13688253262105773, + -0.08439577231367927, + -0.0287360006172326, + 0.029177909355367394, + 0.08834916653426039, + 0.14773279370426898, + 0.20626673979399957, + 0.2629035362587647, + 0.31664164634371744, + 0.36655566304376863, + 0.41182454029927684, + 0.45175709166646544, + 0.48581406013535605, + 0.5136261501942924, + 0.5350075164626497, + 0.5499643196364447, + 0.5586980871846063, + 0.561603750004189, + 0.5592623637167624, + 0.552428660993638, + 0.5420137157522162, + 0.529063127863261, + 0.5147312549055514, + 0.5002521224986607, + 0.4869077341541602, + 0.47599457311353927, + 0.46878914043472336, + 0.46651340428581617, + 0.47030104416765106, + 0.481165360325833, + 0.49996968319295354, + 0.5274010611364792, + 0.5639479284210335, + 0.6098823609658602, + 0.6652474174814846, + 0.7298499405918218, + 0.8032590596062592, + 0.8848104969723077, + 0.9736166375587002, + 1.0685821773258444, + 1.1684250291694933, + 1.2717020322232149, + 1.376838889951038, + 1.4821636549753547, + 1.5859429874593727, + 1.6864203412943557, + 1.7818551801727727, + 1.8705622952010124, + 1.9509502878295968, + 2.0215582968089696, + 2.0810900853078684, + 2.1284446633984953, + 2.1627427004221804, + 2.1833480794065214, + 2.1898840593608497, + 2.182243638186123, + 2.1605938460240397, + 2.1253738428104456, + 2.077286841090695, + 2.017286022214638, + 1.9465547572737236, + 1.866481580080766, + 1.7786304848093808, + 1.6847072325482353, + 1.58652244626226, + 1.4859523501666334, + 1.384898065445668, + 1.2852444082267729, + 1.1888191469267473, + 1.097353664257954, + 1.012445934613633, + 0.9355266710995828, + 0.8678294195337308, + 0.8103652811869217, + 0.7639028342323326, + 0.7289536985491635, + 0.7057640527584746, + 0.6943122694780148, + 0.6943126882623163, + 0.7052253991226441, + 0.7262717664732263, + 0.7564552873089975, + 0.7945872516918125, + 0.8393165612541362, + 0.8891629651355691, + 0.9425528948624868, + 0.9978570220216016, + 1.0534286265205206, + 1.1076418495930174, + 1.158928914760456, + 1.205815431410713, + 1.2469529486560904, + 1.2811480003069866, + 1.3073869732770957, + 1.3248562391990566, + 1.3329571097670159, + 1.3313153073018058, + 1.3197847799763913, + 1.2984458325988868, + 1.2675976853043427, + 1.2277457104385676, + 1.1795837289073738, + 1.123971868073094, + 1.0619105909277646, + 0.9945115981144452, + 0.9229663781599363, + 0.8485132352338546, + 0.7724036565701407, + 0.6958688926176534, + 0.6200876118154138, + 0.5461554589577337, + 0.4750572923114387, + 0.40764280137993447, + 0.34460611637049143, + 0.2864699143436595, + 0.23357440841790167, + 0.18607147829003545, + 0.143924065969655, + 0.10691082342380265, + 0.07463586226451473, + 0.0465433231456442, + 0.021936357519358428, + 1.946905840445738e-16 + ], + [ + 0, + -0.02009304629816513, + -0.03986267296876799, + -0.06032655854743409, + -0.08248646918756394, + -0.10729665251818177, + -0.13563345044748518, + -0.1682669524996882, + -0.20583545945349035, + -0.24882345539461367, + -0.2975436966022386, + -0.35212392021533767, + -0.41249855702464777, + -0.47840570399710225, + -0.5493894765080415, + -0.6248077211556865, + -0.7038449309769692, + -0.7855300693923567, + -0.8687588807136045, + -0.952320146815983, + -1.0349252446164399, + -1.115240269994602, + -1.1919199230321507, + -1.2636422987626779, + -1.3291436983537104, + -1.387252568586963, + -1.4369216929094524, + -1.477257794883205, + -1.5075477736970717, + -1.5272808701195335, + -1.5361661579659882, + -1.5341448684749965, + -1.5213971801877797, + -1.4983432419292637, + -1.465638337971911, + -1.424162248930975, + -1.3750030058156606, + -1.3194353743749303, + -1.2588945389549253, + -1.1949455762338492, + -1.1292494163900517, + -1.06352607979905, + -0.9995160489602763, + -0.9389406862030151, + -0.8834626365000577, + -0.8346471606564413, + -0.793925327030028, + -0.7625599501392216, + -0.7416151029388285, + -0.7319299476534692, + -0.7340975298066462, + -0.7484490638845412, + -0.7750441097342552, + -0.813666899450201, + -0.863828928533132, + -0.9247777760635156, + -0.9955119701433717, + -1.0748015705468372, + -1.161214003898764, + -1.2531445611056697, + -1.348850855259675, + -1.4464904435445347, + -1.5441607411050151, + -1.6399403002390156, + -1.7319304959666835, + -1.8182966498064372, + -1.8973076376635858, + -1.9673730647624605, + -2.0270771496142954, + -2.075208538659788, + -2.110785371501372, + -2.1330750311370457, + -2.1416081415191064, + -2.1361865129567477, + -2.1168848809805474, + -2.084046432744007, + -2.0382722632285004, + -1.9804050478306656, + -1.9115073548328931, + -1.8328351474621456, + -1.7458071376722126, + -1.6519707497254843, + -1.5529655287981354, + -1.4504848863490778, + -1.3462371085516363, + -1.2419065659034503, + -1.139116050983067, + -1.0393911375554759, + -0.9441273987454685, + -0.8545612462330798, + -0.7717450583134073, + -0.6965271545868765, + -0.6295370517781698, + -0.5711763018155642, + -0.5216150731731798, + -0.4807944930830974, + -0.4484346251310586, + -0.4240478175124399, + -0.4069570252935577, + -0.39631858865730746, + -0.39114884130141286, + -0.3903538315476839, + -0.3927613655476698, + -0.3971545290052588, + -0.4023058123432974, + -0.40701095494348294, + -0.4101216371545326, + -0.4105761838013011, + -0.4074274989959751, + -0.39986752768558703, + -0.38724763261382505, + -0.36909438383678744, + -0.3451203788411269, + -0.31522984158930706, + -0.2795188851498114, + -0.2382704615007747, + -0.1919441601032679, + -0.14116115043115074, + -0.0866846894383069, + -0.029396729760059918, + 0.029728734619120088, + 0.0896548639964179, + 0.14931292271089033, + 0.20763415016755216, + 0.2635816959591747, + 0.31618175963399003, + 0.3645530954511404, + 0.4079340838467565, + 0.4457066332658506, + 0.4774162569441738, + 0.5027877671159086, + 0.5217361415145335, + 0.5343722410953933, + 0.5410031905127278, + 0.5421273706858858, + 0.5384241123094509, + 0.5307383168722057, + 0.520060364163311, + 0.5075017890012664, + 0.49426732187542405, + 0.4816239854845409, + 0.4708680192990077, + 0.46329046519515804, + 0.4601422873215652, + 0.46259991758648034, + 0.47173211397632286, + 0.48846899236052255, + 0.5135740441005147, + 0.5476198827982294, + 0.5909683755478138, + 0.6437557092267074, + 0.7058828232366797, + 0.7770115096021145, + 0.8565663426616585, + 0.9437424571707149, + 1.0375190490122952, + 1.136678330477131, + 1.2398295357530307, + 1.3454374452535285, + 1.4518547828878003, + 1.5573577411970487, + 1.660183807952673, + 1.7585710063883249, + 1.8507976212941215, + 1.9352214657810571, + 2.010317749119677, + 2.0747146345939496, + 2.1272256271485923, + 2.1668780025562193, + 2.1929365811769466, + 2.204922257936732, + 2.2026248232935783, + 2.186109744713277, + 2.155718721269972, + 2.112063971944273, + 2.056016367412463, + 1.988687661970051, + 1.911407223131177, + 1.8256937879557824, + 1.7332228940698635, + 1.63579073675838, + 1.5352752889015597, + 1.4335955858101233, + 1.332670120602018, + 1.2343753165916063, + 1.140505040728936, + 1.0527320964976696, + 0.9725725864891375, + 0.9013539653027516, + 0.8401875141882169, + 0.7899458621318695, + 0.7512460565131222, + 0.7244385529952899, + 0.70960235223356, + 0.7065463637552205, + 0.7148169285893685, + 0.7337112855246842, + 0.7622966248279254, + 0.7994342412925391, + 0.8438081788077896, + 0.8939576541388834, + 0.948312460804693, + 1.0052304869095245, + 1.0630364351158001, + 1.1200608096945324, + 1.174678235264013, + 1.2253441943624948, + 1.270629315773012, + 1.3092504113544952, + 1.340097544343303, + 1.3622565145077021, + 1.3750262625786462, + 1.3779308251016407, + 1.3707256080317411, + 1.3533978896003698, + 1.3261616066746333, + 1.2894466204351942, + 1.2438827932048184, + 1.190279335301395, + 1.1295999957319025, + 1.0629347705610024, + 0.9914688854313396, + 0.9164498719725187, + 0.8391536001899621, + 0.7608501493768496, + 0.6827703981946402, + 0.6060741904325552, + 0.5318208872524475, + 0.4609430506601469, + 0.3942239182332982, + 0.3322792279589458, + 0.2755438369817131, + 0.2242634520698154, + 0.1784916558765263, + 0.13809227500464655, + 0.10274699697208277, + 0.07196800694582585, + 0.04511528500747296, + 0.021418084026580884, + 1.9184393642454401e-16 + ], + [ + 0, + -0.020172130583057526, + -0.0405042806439822, + -0.06201975376305619, + -0.08570844216887243, + -0.11249546962770088, + -0.14321154102921438, + -0.17856580173457376, + -0.2191219456289249, + -0.26527822763497344, + -0.3172519362907713, + -0.3750687673953541, + -0.4385574135684352, + -0.5073495500367445, + -0.580885257445675, + -0.6584237815257289, + -0.7390593905850336, + -0.8217419585696525, + -0.9053017772141421, + -0.9884779887560394, + -1.0699499336696208, + -1.1483706283738586, + -1.2224015279396088, + -1.2907476900274866, + -1.352192439669841, + -1.4056306405538928, + -1.4500997070883608, + -1.4848075420980944, + -1.5091566562958576, + -1.5227638160126191, + -1.5254746728338535, + -1.5173729501712634, + -1.4987838944185008, + -1.4702718389310243, + -1.4326318741631665, + -1.3868757632992919, + -1.3342123860089046, + -1.2760231299752431, + -1.213832777178312, + -1.149276546373877, + -1.084064051928977, + -1.0199410196644085, + -0.9586496605736169, + -0.9018886416898206, + -0.8512736089498435, + -0.8082992092048602, + -0.7743035276804394, + -0.7504358038857742, + -0.7376282144647207, + -0.7365724175428519, + -0.7477014420096281, + -0.7711773795633755, + -0.8068852002791943, + -0.8544328672620033, + -0.913157776148082, + -0.9821393944649794, + -1.0602178278250916, + -1.1460178982228075, + -1.2379781877868772, + -1.3343843824295334, + -1.4334061468353505, + -1.5331366776622082, + -1.631634017748703, + -1.7269631721015624, + -1.8172380474972194, + -1.9006622421331898, + -1.9755677397904712, + -2.040450613727544, + -2.0940029177736244, + -2.1351400340511035, + -2.163022856181836, + -2.1770743110386346, + -2.176989858052919, + -2.1627417494570653, + -2.1345769840980915, + -2.0930090379642095, + -2.038803602647652, + -1.9729587050201505, + -1.8966797139688016, + -1.8113498599144056, + -1.7184969971137574, + -1.619757424920869, + -1.5168376501890228, + -1.4114750172740662, + -1.3053981536256967, + -1.2002881772659024, + -1.097741587662931, + -0.9992357142961344, + -0.9060975288028726, + -0.8194765387567113, + -0.7403223760745081, + -0.6693675734382114, + -0.6071158909486649, + -0.5538364157861305, + -0.5095635134158994, + -0.4741025634382951, + -0.4470412701533972, + -0.4277662008364334, + -0.41548407698865614, + -0.40924722858907986, + -0.4079825214554234, + -0.41052298567055934, + -0.4156413106384664, + -0.4220843311984159, + -0.4286076103117925, + -0.43400922754901783, + -0.43716190878499306, + -0.4370426804385414, + -0.4327593000002105, + -0.4235728017080661, + -0.40891559981151493, + -0.3884047092583448, + -0.36184977185658024, + -0.3292557117399357, + -0.2908199838569247, + -0.24692451966355877, + -0.19812261167179027, + -0.14512110951288562, + -0.08875842140495793, + -0.02997892330359631, + 0.03019552917426831, + 0.09069621607468129, + 0.15043947062716467, + 0.20835904004316608, + 0.2634380188731153, + 0.3147394947685555, + 0.36143507916663326, + 0.4028305493711896, + 0.4383879023921482, + 0.4677432128642591, + 0.4907197950826215, + 0.5073362899521684, + 0.5178094284070025, + 0.522551360314049, + 0.5221615785624572, + 0.5174136083989901, + 0.5092367685469762, + 0.49869343978181935, + 0.4869523951484109, + 0.47525885087540154, + 0.464901985586123, + 0.4571807453485331, + 0.4533688016323196, + 0.4546795570432141, + 0.4622320990176278, + 0.4770189842811583, + 0.49987669716572364, + 0.531459563764382, + 0.5722178228394996, + 0.622380455349055, + 0.6819432598308531, + 0.7506625334923259, + 0.8280545818257762, + 0.9134011362837364, + 1.0057606135483539, + 1.1039850048297535, + 1.2067420430344193, + 1.3125421630553233, + 1.4197696491598755, + 1.5267172565263194, + 1.6316235040906288, + 1.7327117652869402, + 1.8282302337940028, + 1.9164918143196839, + 1.9959129844965597, + 2.0650506932867327, + 2.122636403492116, + 2.1676064500615273, + 2.199127970362467, + 2.2166197654227244, + 2.2197675698699917, + 2.2085333400375746, + 2.183158311268158, + 2.1441597233971255, + 2.092321264133476, + 2.0286774299083863, + 1.9544921490760214, + 1.8712321495829631, + 1.7805356790221896, + 1.6841772962828352, + 1.5840295480798354, + 1.4820224182005244, + 1.3801014905178337, + 1.2801857973939073, + 1.1841263322887376, + 1.093666189025292, + 1.0104032506490424, + 0.9357562891278124, + 0.8709352547810761, + 0.8169164333252942, + 0.7744230312478194, + 0.7439116197446092, + 0.7255647268690382, + 0.7192897202765559, + 0.724723972609876, + 0.7412461518198687, + 0.7679933332073569, + 0.8038834922407624, + 0.8476428105985779, + 0.8978371154697256, + 0.9529066766320298, + 1.0112035095119836, + 1.0710302771245992, + 1.1306798507970282, + 1.1884745796387501, + 1.2428043320108342, + 1.292162408369153, + 1.335178482853073, + 1.370647809364842, + 1.3975560246383831, + 1.4150989934836156, + 1.4226972671775564, + 1.4200048617044791, + 1.406912204831193, + 1.3835432462940929, + 1.3502468700586008, + 1.3075828880990228, + 1.2563030279605967, + 1.1973274482265694, + 1.131717423922998, + 1.0606449352074643, + 0.9853599651797065, + 0.9071563645709113, + 0.8273371711795473, + 0.7471802795380513, + 0.6679053412926976, + 0.5906427396005397, + 0.516405422488654, + 0.4460643021069647, + 0.38032783115114366, + 0.3197262568900886, + 0.26460093003419943, + 0.21509891326293615, + 0.17117299595701288, + 0.13258708105913344, + 0.09892677057971072, + 0.06961484159810015, + 0.043931178091114804, + 0.02103660874657007, + 1.9038664723107605e-16 + ], + [ + 0, + -0.02041685729585867, + -0.04148625082181759, + -0.06422781502062755, + -0.08961018493383029, + -0.11852017516240912, + -0.15173414880915811, + -0.18989235333001211, + -0.23347692409461077, + -0.28279416223141035, + -0.33796158338414234, + -0.3989001111064851, + -0.465331655871033, + -0.5367821814184955, + -0.6125902179420752, + -0.6919206399877461, + -0.7737833895402251, + -0.8570566950425698, + -0.9405142183619467, + -1.0228554569918624, + -1.1027386407515904, + -1.1788152931719336, + -1.2497655794366074, + -1.31433353645731, + -1.3713612771253705, + -1.4198212801628516, + -1.4588459188771756, + -1.4877534455281867, + -1.5060697314276383, + -1.5135451642880287, + -1.5101662212467972, + -1.4961613655471648, + -1.4720010538706625, + -1.4383917863581772, + -1.3962642788380837, + -1.3467559830441838, + -1.2911883220178746, + -1.2310391409247194, + -1.167910994852232, + -1.103496001752266, + -1.0395380778654175, + -0.9777934424591475, + -0.9199903267503957, + -0.8677888472186946, + -0.8227420054561276, + -0.7862587551313258, + -0.7595700320306336, + -0.7436985765141466, + -0.7394332906648987, + -0.7473087669991216, + -0.7675905043819958, + -0.8002661926870565, + -0.8450433039996508, + -0.9013530782875532, + -0.9683608390921852, + -1.04498242364425, + -1.1299063655642587, + -1.2216213305408599, + -1.3184481794526715, + -1.4185759223891823, + -1.520100733646845, + -1.6210671243097996, + -1.719510317267639, + -1.8134988407392918, + -1.901176351265796, + -1.9808017158282618, + -2.0507864247813052, + -2.1097284716362443, + -2.1564419208054106, + -2.189981488146625, + -2.2096615789854694, + -2.2150693613118286, + -2.2060715947934906, + -2.1828150856313453, + -2.1457207894511083, + -2.095471735674427, + -2.0329950934536773, + -1.9594388377233873, + -1.8761436008559471, + -1.784610407737375, + -1.6864650870906146, + -1.5834202272897755, + -1.4772355989346722, + -1.3696779978260094, + -1.2624814699929456, + -1.1573088649475114, + -1.0557156248252602, + -0.9591166565356549, + -0.8687570530476716, + -0.7856873305359648, + -0.7107437328210174, + -0.644534026250452, + -0.5874290701005623, + -0.5395603031745063, + -0.5008231401326866, + -0.4708861248680073, + -0.449205546558376, + -0.4350450903952293, + -0.42749997269553786, + -0.4255249021621857, + -0.42796511810623505, + -0.43358968469786313, + -0.4411261695006274, + -0.4492958058702677, + -0.45684823291342536, + -0.462594923681821, + -0.4654404516301579, + -0.4644108060393281, + -0.4586780475164014, + -0.4475806927540195, + -0.4306393309495928, + -0.40756709975857175, + -0.37827478319243873, + -0.34287043405406603, + -0.3016535657767979, + -0.25510409929633365, + -0.20386638627596482, + -0.1487287571962092, + -0.09059915829689169, + -0.030477542207752107, + 0.030574239222617133, + 0.09146422700165002, + 0.15110297559635746, + 0.20843612422133956, + 0.26247604204932046, + 0.31233169419054696, + 0.3572359208286477, + 0.3965693882290112, + 0.4298805557813067, + 0.45690110564775777, + 0.4775563983819309, + 0.49197064611341795, + 0.5004666313258225, + 0.5035599404430962, + 0.501947823813139, + 0.49649293363450886, + 0.4882023253646378, + 0.4782022327740114, + 0.467709238898057, + 0.45799856182530896, + 0.4503702530661401, + 0.44611416513522406, + 0.4464745824126221, + 0.4526154243176601, + 0.46558692189169976, + 0.48629463816834245, + 0.5154716499103488, + 0.5536546346628556, + 0.6011645143867147, + 0.6580921974479329, + 0.7242898371273415, + 0.7993678901150174, + 0.8826981159859542, + 0.9734225119373003, + 1.070468029737131, + 1.1725667775476694, + 1.278281271633054, + 1.386034175376199, + 1.4941418487039648, + 1.6008509328249259, + 1.7043771155972591, + 1.8029451638882144, + 1.8948292724781806, + 1.9783927653748759, + 2.0521261952398326, + 2.1146829198158064, + 2.1649112900280945, + 2.201882661505479, + 2.2249145377923583, + 2.2335882671844316, + 2.227760843174066, + 2.207570497837507, + 2.1734359247526114, + 2.1260491196219933, + 2.06636197900143, + 1.9955669466860622, + 1.91507213974855, + 1.826471518475835, + 1.7315107832840568, + 1.632049784200456, + 1.5300223121809335, + 1.4273942043366648, + 1.3261207355375868, + 1.2281042858580795, + 1.1351532665160102, + 1.0489432564997105, + 0.9709812487255498, + 0.902573829629091, + 0.8448000214008959, + 0.7984894039521321, + 0.7642060068789032, + 0.7422383232887744, + 0.7325956507413707, + 0.7350108133175838, + 0.7489491666590639, + 0.7736236384204171, + 0.808015413587192, + 0.8508997410077495, + 0.900876217493258, + 0.9564028018575756, + 1.0158327257997855, + 1.0774534036197563, + 1.139526399935705, + 1.2003274948296587, + 1.2581858896006337, + 1.3115216233942661, + 1.358880320665349, + 1.398964460424664, + 1.4306604487079928, + 1.4530608833914034, + 1.465481522650223, + 1.4674726019549522, + 1.458824286175615, + 1.439566189593628, + 1.4099610437599177, + 1.3704927375376068, + 1.3218490917520196, + 1.2648998592293772, + 1.2006705564775837, + 1.1303128330148553, + 1.0550721659489741, + 0.9762537288739571, + 0.8951873240104927, + 0.8131922838421004, + 0.7315432429260625, + 0.6514376522950059, + 0.5739658586867665, + 0.5000845000690545, + 0.4305938793969041, + 0.3661198725573428, + 0.30710080672801676, + 0.25377961495650025, + 0.20620143497030544, + 0.1642166785505637, + 0.12748945583443466, + 0.09551110024549762, + 0.06761840789336368, + 0.0430160835653226, + 0.020802776927534305, + 1.9040217631105167e-16 + ], + [ + 0, + -0.020832544703979678, + -0.04281471799674584, + -0.06695303249886644, + -0.0941854897873894, + -0.12535158325253723, + -0.16116496506734865, + -0.20218952053413025, + -0.24881950536362193, + -0.30126429678322786, + -0.3595381903999203, + -0.4234555444641619, + -0.4926314348833479, + -0.5664878415117148, + -0.6442652425107296, + -0.7250393525691059, + -0.8077426060700778, + -0.8911898613171391, + -0.9741076898601821, + -1.0551665186647676, + -1.1330148148095145, + -1.20631444459822, + -1.2737763029476155, + -1.334195295628903, + -1.386483766803756, + -1.4297024971269403, + -1.463088452736573, + -1.4860785414107103, + -1.4983287272014005, + -1.499727966650344, + -1.4904065555061043, + -1.4707386116079915, + -1.4413385639033809, + -1.403051665854558, + -1.3569387000923454, + -1.3042551863940028, + -1.2464255432859224, + -1.1850127813456968, + -1.1216844204034724, + -1.0581754204500882, + -0.996248994683228, + -0.9376562307609808, + -0.8840954814975953, + -0.8371724979942956, + -0.7983622661897579, + -0.7689734722675337, + -0.7501164640791617, + -0.7426754961016336, + -0.7472859463443815, + -0.7643170774344861, + -0.7938607836438023, + -0.8357266240379602, + -0.8894432926621872, + -0.9542665233633936, + -1.0291932732165734, + -1.1129818783230008, + -1.2041777326442593, + -1.3011439080255947, + -1.4020960148834116, + -1.5051405010870955, + -1.6083155038492187, + -1.7096333079742552, + -1.8071234251098123, + -1.8988752936430606, + -1.9830796079569164, + -2.058067318683731, + -2.1223454015634204, + -2.1746285701591854, + -2.213866205107116, + -2.239263887394193, + -2.2502990525641864, + -2.24673042358096, + -2.2286010288929816, + -2.196234765409316, + -2.1502266198801223, + -2.091426812827071, + -2.020919273025533, + -1.9399949841068154, + -1.8501208648879977, + -1.7529049486491768, + -1.6500587112705776, + -1.5433574618918229, + -1.4345997510574913, + -1.3255667692162083, + -1.2179827025725534, + -1.1134769838644119, + -1.0135493234466921, + -0.9195383324576824, + -0.8325944567050522, + -0.753657829590467, + -0.6834415276704803, + -0.6224205764519086, + -0.5708269101395118, + -0.5286503408770796, + -0.4956454442326914, + -0.4713441219648517, + -0.4550734640728827, + -0.445978403213437, + -0.4430485389266331, + -0.44514840959433893, + -0.45105040907613814, + -0.4594694844949125, + -0.46909871311783724, + -0.47864484059348555, + -0.4868628702831948, + -0.4925888238071206, + -0.4947698453826661, + -0.49249089568489723, + -0.4849973729091005, + -0.47171310710143627, + -0.45225329587326674, + -0.42643208221846546, + -0.3942646149410527, + -0.35596357562722, + -0.3119302995290997, + -0.26274075753906717, + -0.2091267990901774, + -0.15195317797045207, + -0.09219099160389937, + -0.030888256590983994, + 0.03086158310972871, + 0.09195236589336019, + 0.15129825940780578, + 0.2078662553227375, + 0.2607072368859622, + 0.3089847809062008, + 0.35200091408373785, + 0.38921812198406464, + 0.4202770054381995, + 0.4450090913229457, + 0.4634444296946501, + 0.4758137439647334, + 0.48254504181142543, + 0.4842547382549705, + 0.48173348514565656, + 0.4759270396068392, + 0.4679126342290027, + 0.4588714307136592, + 0.4500577431852433, + 0.44276580484995476, + 0.43829491983055197, + 0.4379138890744448, + 0.44282562397319625, + 0.45413286305624306, + 0.4728058857167399, + 0.49965307285829114, + 0.5352950986511779, + 0.5801434518315488, + 0.634383881247544, + 0.6979652411862204, + 0.7705940803290756, + 0.8517351772251616, + 0.9406180784208422, + 1.0362495464778685, + 1.1374316777422995, + 1.2427853075617068, + 1.350778187232739, + 1.4597572956305953, + 1.5679845422711913, + 1.6736750301611154, + 1.7750369784410962, + 1.8703123582753427, + 1.9578172718966906, + 2.035981104835177, + 2.1033835052007337, + 2.158788290941142, + 2.2011734551615407, + 2.2297565292327257, + 2.2440146713868043, + 2.2436989721995815, + 2.22884260479835, + 2.199762593502635, + 2.1570551263588627, + 2.1015844909737633, + 2.034465865433543, + 1.9570423431981647, + 1.870856709090762, + 1.7776186094830757, + 1.679167870428967, + 1.5774348101129683, + 1.4743984642931152, + 1.3720436936570357, + 1.2723181689472756, + 1.1770902326866033, + 1.088108615272596, + 1.0069649386288038, + 0.9350598735876411, + 0.8735737293772563, + 0.8234421471387467, + 0.7853374469143367, + 0.7596560420158283, + 0.746512189417014, + 0.7457381933614133, + 0.7568910254330006, + 0.7792651716552463, + 0.8119113694805286, + 0.8536607583985623, + 0.903153840704984, + 0.958873536807509, + 1.0191815250118124, + 1.0823569812870772, + 1.1466367818317784, + 1.2102562015754499, + 1.2714891357250413, + 1.3286868891757215, + 1.380314619550495, + 1.4249845827345045, + 1.4614854134085067, + 1.488806775137309, + 1.5061588324597446, + 1.5129861281972825, + 1.5089755895771901, + 1.4940585332516096, + 1.4684066882408406, + 1.4324224035399058, + 1.3867233499433638, + 1.3321221600358266, + 1.2696015729531402, + 1.2002857584295643, + 1.1254085851711608, + 1.0462796695349645, + 0.9642490901405146, + 0.880671681222658, + 0.7968718216426763, + 0.7141096174769345, + 0.6335493345440324, + 0.5562308742214094, + 0.4830450030839201, + 0.4147129464065269, + 0.35177083998654696, + 0.2945594070075331, + 0.2432190900369424, + 0.19769072619185704, + 0.15772170962130688, + 0.12287744338178776, + 0.09255774611647774, + 0.06601775114034256, + 0.04239271980930091, + 0.02072609033126682, + 1.9196017496292266e-16 + ], + [ + 0, + -0.021422836501935733, + -0.04449234184807285, + -0.07019238696580545, + -0.09942106417747588, + -0.1329617997118059, + -0.1714575906241621, + -0.21538906837061553, + -0.2650569925321341, + -0.3205696638071727, + -0.3818356182717323, + -0.44856182825688956, + -0.5202574924687083, + -0.5962433527843625, + -0.6756663311770574, + -0.7575191411005248, + -0.8406643969333518, + -0.9238626260699213, + -1.0058034839841348, + -1.0851393857544775, + -1.1605207003611135, + -1.230631608294847, + -1.294225699867337, + -1.350160391730468, + -1.3974292625670626, + -1.4351914551878326, + -1.4627973602711812, + -1.4798098850781225, + -1.4860207165234665, + -1.4814611093928023, + -1.466406864279936, + -1.4413773026831613, + -1.4071281951093284, + -1.3646387483139577, + -1.3150929062209928, + -1.259855361921589, + -1.2004428118824977, + -1.1384911047536026, + -1.0757190429057535, + -1.013889682386496, + -0.9547700441294285, + -0.9000901942698013, + -0.8515026731250712, + -0.8105432501888888, + -0.7785939563436968, + -0.7568492949950474, + -0.7462864621210097, + -0.7476403130133153, + -0.7613837029717873, + -0.7877137030629716, + -0.8265440533193505, + -0.8775040678027953, + -0.9399440523820161, + -1.0129471406185275, + -1.0953472996097655, + -1.1857531097495564, + -1.282576783748376, + -1.384067764297969, + -1.48835012954868, + -1.5934629437912724, + -1.6974026196464838, + -1.7981663094068452, + -1.893795318141096, + -1.9824175303766933, + -2.062287865643511, + -2.1318258253200164, + -2.189649262920718, + -2.2346036004979255, + -2.265785822989074, + -2.282562707456471, + -2.2845828821821317, + -2.2717824581267303, + -2.2443841287369484, + -2.2028897897467297, + -2.148066884671962, + -2.0809288303952282, + -2.0027100169636958, + -1.914836003089792, + -1.8188896407695065, + -1.7165739562194826, + -1.6096726877329035, + -1.500009432322188, + -1.3894063809568207, + -1.279643626196148, + -1.1724200060297076, + -1.0693164043309702, + -0.9717623626405805, + -0.8810067717047263, + -0.7980933064907816, + -0.7238411479229689, + -0.6588314013466982, + -0.6033994790712293, + -0.5576335658117799, + -0.5213791351469071, + -0.49424933596295284, + -0.47564092396577834, + -0.46475527825267016, + -0.4606239199799545, + -0.46213784235062905, + -0.4680798711142727, + -0.47715920470308193, + -0.48804723470565803, + -0.4994137217433137, + -0.509962399530786, + -0.5184651009586131, + -0.5237935438294603, + -0.5249479792494477, + -0.5210819909148088, + -0.5115228364462807, + -0.49578683987215827, + -0.47358947433710497, + -0.4448499128118342, + -0.4096899684791122, + -0.36842749192880214, + -0.3215644356293708, + -0.2697699337332121, + -0.2138588736451153, + -0.1547665516985518, + -0.09352010582136945, + -0.03120750069799139, + 0.031055096430969015, + 0.0921566701242772, + 0.15102454357636497, + 0.20665650485428463, + 0.25815100699242727, + 0.3047346261849367, + 0.3457860330864988, + 0.38085582220397984, + 0.40968165126276057, + 0.43219826356334795, + 0.44854209864666467, + 0.45905033671717926, + 0.4642543666888155, + 0.464867812764946, + 0.4617693964664166, + 0.4559810463785766, + 0.4486417931599889, + 0.44097809935116045, + 0.4342713693790286, + 0.4298234624112728, + 0.4289210873750535, + 0.43279999403270203, + 0.44260988556810893, + 0.45938096632328057, + 0.4839930033604952, + 0.5171477232176063, + 0.5593452869387061, + 0.6108654890932026, + 0.6717542124180305, + 0.7418155417270313, + 0.8206098019787084, + 0.9074576393041556, + 1.0014501139871737, + 1.1014646245753668, + 1.2061863362100544, + 1.3141346475356341, + 1.4236941026534058, + 1.5331490407260762, + 1.6407211788837284, + 1.7446092464825131, + 1.8430297325031628, + 1.9342577744033889, + 2.016667206951728, + 2.088768803783054, + 2.1492457823472995, + 2.1969857037086995, + 2.2311079808622045, + 2.2509863109060526, + 2.2562654651019254, + 2.2468720037002434, + 2.2230186261896936, + 2.1852020188547097, + 2.1341942165128054, + 2.071027650278161, + 1.9969742043781116, + 1.9135187487424639, + 1.8223277467806236, + 1.7252136562120526, + 1.624095942123261, + 1.5209596031084587, + 1.4178121714096599, + 1.316640184932815, + 1.2193661419718322, + 1.1278069381023372, + 1.0436347492865368, + 0.9683412666242366, + 0.903206107824145, + 0.8492701303176586, + 0.8073142534417119, + 0.7778442651487559, + 0.7610819454838624, + 0.7569626880976403, + 0.7651396460229186, + 0.7849942726126478, + 0.8156529766992161, + 0.8560094663846005, + 0.9047522219186378, + 0.9603964181146605, + 1.0213195135860629, + 1.0857996402448538, + 1.1520558639858154, + 1.2182893477622379, + 1.2827244322531721, + 1.3436486573537127, + 1.3994507795240905, + 1.4486558947591588, + 1.489956853173499, + 1.5222412469980777, + 1.5446133667315654, + 1.5564106474455968, + 1.5572142656227093, + 1.5468536929550836, + 1.5254051636163102, + 1.4931841619099941, + 1.4507321841722096, + 1.3987981687265192, + 1.3383151171113519, + 1.2703725455389945, + 1.1961855047699705, + 1.117060986880112, + 1.0343625968204926, + 0.9494744038075088, + 0.8637649015754146, + 0.778551997099096, + 0.6950699148591936, + 0.6144388489599498, + 0.5376381198614769, + 0.4654834981092054, + 0.3986092466587042, + 0.33745530903552184, + 0.2822599358042111, + 0.23305790007180974, + 0.18968430761250357, + 0.15178386234591854, + 0.11882530699371534, + 0.09012062533697399, + 0.06484846996642614, + 0.0420811708490542, + 0.020814588163810818, + 1.9511555178739186e-16 + ], + [ + 0, + -0.02218963880608415, + -0.046518226964157354, + -0.07393750000883288, + -0.1052965595567347, + -0.1413143762933223, + -0.18255585920376796, + -0.22941214516344952, + -0.282085653869676, + -0.3405803298216375, + -0.40469735875583884, + -0.4740365040148381, + -0.5480030623582842, + -0.6258202924123404, + -0.7065470260043988, + -0.7891000366719115, + -0.8722806141232039, + -0.9548046815623611, + -1.0353356974292336, + -1.112519506698795, + -1.1850202514088473, + -1.251556416996917, + -1.310936081222562, + -1.3620904462447345, + -1.4041047715390396, + -1.4362458849160809, + -1.457985529514986, + -1.4690189043421453, + -1.469277872269478, + -1.4589384395434857, + -1.4384222515796714, + -1.4083919976491237, + -1.3697407683428036, + -1.3235755606673765, + -1.2711952725271574, + -1.2140636675141672, + -1.1537779188816355, + -1.0920334551040536, + -1.0305859256688459, + -0.9712111822623366, + -0.9156642253505088, + -0.8656380978900754, + -0.8227237156825096, + -0.7883716074385922, + -0.7638564972863647, + -0.7502455991545125, + -0.7483714076871968, + -0.7588096661185177, + -0.781863070360885, + -0.8175511333688176, + -0.8656064879047439, + -0.9254777527020783, + -0.9963389304208183, + -1.0771051495400121, + -1.1664544102436618, + -1.2628548501480867, + -1.3645969129161946, + -1.4698296846577883, + -1.5766005624187323, + -1.68289733848107, + -1.7866917256082784, + -1.8859833132131938, + -1.978842933567632, + -2.063454430882647, + -2.138153864037243, + -2.2014652349972845, + -2.2521319180512855, + -2.2891430678679576, + -2.3117544045395637, + -2.31950290828223, + -2.312215102035225, + -2.2900087532843374, + -2.2532879832959747, + -2.2027319287660316, + -2.1392772538429536, + -2.0640949558587054, + -1.9785620423655823, + -1.8842287769793935, + -1.7827822941750264, + -1.6760074661021254, + -1.5657459657068333, + -1.453854508518197, + -1.3421632695133079, + -1.232435461234368, + -1.1263290251133793, + -1.0253613306744018, + -0.9308776984053014, + -0.8440244636249913, + -0.7657271831022884, + -0.6966744564090674, + -0.6373076932585973, + -0.5878170098985145, + -0.5481432856820445, + -0.517986259000857, + -0.49681839358954305, + -0.48390410546461715, + -0.47832381090656023, + -0.47900214012022163, + -0.4847395623477986, + -0.49424658866375815, + -0.5061796603704257, + -0.5191777952214044, + -0.5318990514455146, + -0.5430558809583442, + -0.551448477872105, + -0.555995285506189, + -0.5557599030621101, + -0.549973729939894, + -0.5380537988524294, + -0.5196153755485436, + -0.4944790398602801, + -0.46267210646879336, + -0.42442439059546755, + -0.38015847005564934, + -0.3304747370667953, + -0.2761316672973287, + -0.21802185649570902, + -0.1571444835550738, + -0.09457495031533257, + -0.03143252048103656, + 0.03115316907176413, + 0.09207582289010827, + 0.15028552046388194, + 0.20482017972420133, + 0.2548346024401454, + 0.2996263161008552, + 0.338657509753251, + 0.37157246226998386, + 0.39820997809544256, + 0.4186104747137443, + 0.4330175046360515, + 0.44187363911129474, + 0.445810787370304, + 0.4456351703052196, + 0.44230730738463786, + 0.4369175067575587, + 0.43065746756818574, + 0.4247887074507371, + 0.42060861433550745, + 0.419414987854425, + 0.4224699800639997, + 0.43096436672633914, + 0.4459830783972541, + 0.4684728950451859, + 0.49921315943577793, + 0.5387902942105751, + 0.5875768171588153, + 0.6457154408293547, + 0.7131087190089893, + 0.7894145667440756, + 0.8740478358567004, + 0.9661879778857944, + 1.0647926747886995, + 1.1686171683386521, + 1.2762388756713254, + 1.3860867444533327, + 1.4964746800246589, + 1.6056382716496216, + 1.7117739583559797, + 1.8130797089525117, + 1.9077962473865127, + 1.9942478347768502, + 2.070881623797005, + 2.1363046295521366, + 2.1893174130639133, + 2.228943647736738, + 2.2544548339659736, + 2.2653895400913036, + 2.26156667647205, + 2.2430924504540775, + 2.2103607999884716, + 2.16404725900228, + 2.1050963645270504, + 2.0347028702336036, + 1.9542871796253551, + 1.8654655510740465, + 1.7700157527429397, + 1.6698389551509367, + 1.5669187399992763, + 1.4632781736820821, + 1.3609359409197554, + 1.261862557033866, + 1.167937675953529, + 1.0809094851359795, + 1.002357128826446, + 0.933657028687599, + 0.8759538775630238, + 0.830136970279239, + 0.7968224076679704, + 0.7763415695229431, + 0.7687361024217527, + 0.7737595128972874, + 0.7908852991246863, + 0.8193213989309064, + 0.8580305823146939, + 0.9057562764205027, + 0.961053183441158, + 1.0223219403140795, + 1.087846976013724, + 1.1558366499588364, + 1.2244647052629791, + 1.2919120444211798, + 1.3564078331215432, + 1.4162689601774416, + 1.4699369274780487, + 1.516011312156, + 1.5532790321252488, + 1.5807387534989992, + 1.597619901455557, + 1.6033958717973267, + 1.5977911853570568, + 1.5807824779377435, + 1.5525933708890904, + 1.513683417946672, + 1.464731468868203, + 1.406613926120331, + 1.340378494061668, + 1.2672141277140736, + 1.1884179776889654, + 1.105360196971066, + 1.0194475224017705, + 0.9320865677436045, + 0.8446477656196911, + 0.7584308724717536, + 0.6746329046196828, + 0.5943193057587199, + 0.5183990585605164, + 0.44760434771051877, + 0.382475261413487, + 0.3233498861990398, + 0.2703600091205677, + 0.22343249573361496, + 0.1822962652532777, + 0.14649463974073282, + 0.11540270570730483, + 0.08824919764410952, + 0.06414229693489532, + 0.04209863931260488, + 0.02107474200061104, + 1.999076828119418e-16 + ], + [ + 0, + -0.023133074688004362, + -0.04888787902788743, + -0.07817464007496097, + -0.11178467484690131, + -0.15036455680567615, + -0.19439426743686036, + -0.24416993212157856, + -0.29979162074284377, + -0.3611565622184292, + -0.4279579817261844, + -0.4996896233378557, + -0.5756558728014656, + -0.6549872490595273, + -0.7366608924681485, + -0.8195255461628258, + -0.9023304079482677, + -0.9837571265112812, + -1.062454130321813, + -1.1370724125003482, + -1.2063018518851563, + -1.2689071306752384, + -1.3237623129195932, + -1.369883175741419, + -1.4064564359035305, + -1.4328650869354194, + -1.448709154799311, + -1.4538212907113557, + -1.4482767455419108, + -1.4323974080982997, + -1.4067497361387997, + -1.3721365605485805, + -1.329582895963761, + -1.2803160414550676, + -1.2257403989288629, + -1.167407571068289, + -1.1069824215568658, + -1.046205884957261, + -0.9868553993129212, + -0.9307038991167594, + -0.879478348084343, + -0.8348188090744041, + -0.7982390420006273, + -0.7710895897614646, + -0.7545242577653258, + -0.7494708158179554, + -0.7566066537917747, + -0.7763400069476555, + -0.8087972358145632, + -0.8538165023225216, + -0.910948031906368, + -0.9794609942497278, + -1.0583568770481633, + -1.1463890715009484, + -1.2420882389960977, + -1.3437928892835653, + -1.449684474743971, + -1.5578261962344098, + -1.666204626105112, + -1.77277318553741, + -1.875496468037714, + -1.9723943798502674, + -2.06158507174807, + -2.1413256650430355, + -2.210049827037046, + -2.2664013262403593, + -2.3092627936824766, + -2.33777903119172, + -2.351374337828123, + -2.349763468541, + -2.3329559911014437, + -2.301253964725598, + -2.255243022721466, + -2.195777098090738, + -2.123957181488431, + -2.0411046416323892, + -1.9487297657509, + -1.848496288877583, + -1.7421827730684354, + -1.6316417687171507, + -1.518757738393879, + -1.4054047479073288, + -1.2934049290586198, + -1.1844886938895467, + -1.0802576318014596, + -0.982150949990108, + -0.8914162260157401, + -0.8090851313213733, + -0.7359546588894564, + -0.6725742501312362, + -0.6192390689786753, + -0.5759895186558022, + -0.5426169425295734, + -0.5186752985950603, + -0.5034984512872367, + -0.4962225880264674, + -0.4958131445452723, + -0.5010955156302349, + -0.5107887390616859, + -0.5235412723943831, + -0.5379679364237584, + -0.5526870767934636, + -0.566356996703901, + -0.5777107389644903, + -0.5855883439872489, + -0.588965780463811, + -0.5869798355779352, + -0.5789483593607473, + -0.5643853804385986, + -0.5430107448278868, + -0.5147540721821837, + -0.47975297137534634, + -0.43834560577762505, + -0.3910578442979374, + -0.33858537354660156, + -0.28177127580680356, + -0.22157969363228608, + -0.15906630189020773, + -0.09534638942778706, + -0.03156141321585436, + 0.031155073709376827, + 0.09171120388411375, + 0.14908937825597102, + 0.20237677341795254, + 0.2507929505281066, + 0.2937138184555375, + 0.33069129819182647, + 0.3614681469234313, + 0.3859875255593115, + 0.40439702977759706, + 0.4170470483486057, + 0.424483459972175, + 0.427434827400091, + 0.4267943914592409, + 0.4235973040965659, + 0.4189936652620818, + 0.4142180401273836, + 0.4105562279484732, + 0.40931012938711064, + 0.41176161334944356, + 0.4191363159595028, + 0.43256831230061266, + 0.4530665857607529, + 0.48148418053576475, + 0.5184908609930958, + 0.5645500186615522, + 0.6199004656028138, + 0.6845436343327108, + 0.7582365722087738, + 0.8404909755468926, + 0.9305783592025033, + 1.0275413046583948, + 1.1302105775970699, + 1.2372277582887594, + 1.347072888583649, + 1.4580965113525761, + 1.5685553650890698, + 1.6766509009199118, + 1.7805697138947678, + 1.8785249270672086, + 1.9687975369289707, + 2.0497767230295407, + 2.119998143320241, + 2.178179279518998, + 2.223250962616722, + 2.2543842959869136, + 2.271012300330476, + 2.2728457283195507, + 2.2598826343098226, + 2.2324114325359203, + 2.191007332190762, + 2.136522195942548, + 2.0700680259053064, + 1.9929944340046548, + 1.9068605983318012, + 1.8134023399151817, + 1.71449507210822, + 1.6121134746056505, + 1.508288823511333, + 1.4050649659366488, + 1.304453960906122, + 1.2083924170629758, + 1.1186995415806116, + 1.037037874182568, + 0.9648776162364767, + 0.903465379074616, + 0.853798070097059, + 0.8166025124092111, + 0.7923212567302012, + 0.7811048964249501, + 0.7828110413677555, + 0.797009947720858, + 0.8229966424722476, + 0.859809227574002, + 0.9062529024991998, + 0.9609291095357777, + 1.0222690864159663, + 1.0885710088303997, + 1.1580398234484561, + 1.2288288122155848, + 1.2990818923332161, + 1.3669756442770395, + 1.4307600727056586, + 1.4887971417793435, + 1.5395961862805982, + 1.5818453814662419, + 1.614438555716359, + 1.6364967482317032, + 1.647384046304558, + 1.646717379745004, + 1.6343701003212951, + 1.6104693278356783, + 1.5753871978937062, + 1.529726295740748, + 1.4742997020497566, + 1.4101062067670278, + 1.3383013628637774, + 1.2601651502735305, + 1.1770670990282806, + 1.0904297777453262, + 1.0016915878082293, + 0.9122698140513483, + 0.8235248693127432, + 0.7367266332767225, + 0.6530237265828609, + 0.573416480791172, + 0.4987342655420174, + 0.42961771868124954, + 0.36650629618704067, + 0.3096314197157182, + 0.25901535400783077, + 0.2144757979500647, + 0.1756360255275421, + 0.1419402699511175, + 0.11267390951174347, + 0.08698789059449999, + 0.06392671487821777, + 0.04245922678000121, + 0.021511365963175853, + 2.0635977570917994e-16 + ], + [ + 0, + -0.024251456895742988, + -0.05159319827170661, + -0.08288478477801614, + -0.1188513340978279, + -0.1600596133193921, + -0.20689850790758005, + -0.259564405150737, + -0.3180519024562773, + -0.3821501126574749, + -0.4514446930723956, + -0.5253255761058269, + -0.603000230480187, + -0.6835121374928531, + -0.7657640296989804, + -0.8485453135952895, + -0.9305629864391816, + -1.010475263129446, + -1.086927054521022, + -1.158586385578218, + -1.2241808117808424, + -1.2825328860039589, + -1.3325937459171064, + -1.373473933413689, + -1.4044706217136935, + -1.4250905110412941, + -1.4350677580896916, + -1.4343764252945208, + -1.4232370702721335, + -1.4021172403237914, + -1.3717257880826457, + -1.3330010784354571, + -1.28709330995311, + -1.2353413223956675, + -1.1792444017119759, + -1.1204297218250054, + -1.0606161751672287, + -1.0015754385593456, + -0.9450911952062934, + -0.8929174854134783, + -0.8467371867498074, + -0.8081216280322676, + -0.7784923205129158, + -0.7590857444554239, + -0.7509220609351438, + -0.7547785287982034, + -0.771168297419818, + -0.800325119840256, + -0.8421943910766552, + -0.8964307663010014, + -0.9624024567892268, + -1.0392021419036286, + -1.125664276766167, + -1.2203884215890741, + -1.321768073611015, + -1.4280243497927194, + -1.537243751110277, + -1.6474191403253613, + -1.7564929869401813, + -1.8624018775837423, + -1.9631212586931703, + -2.056709371827368, + -2.141349360451393, + -2.215388570115295, + -2.2773741305770523, + -2.326083996964818, + -2.360552735381897, + -2.3800914637887, + -2.38430149849031, + -2.3730814067152983, + -2.3466273229297507, + -2.3054265468608017, + -2.25024460080153, + -2.1821060787508455, + -2.1022697665416876, + -2.012198646771771, + -1.9135255218131988, + -1.8080150895580058, + -1.697523387420082, + -1.5839555785324901, + -1.4692230886780868, + -1.3552011124844765, + -1.243687492620887, + -1.136363936583716, + -1.0347604731776507, + -0.9402239665900315, + -0.8538914021504581, + -0.7766685370762387, + -0.709214374752053, + -0.6519317757417149, + -0.6049643663984663, + -0.5681997504095411, + -0.5412788737332209, + -0.5236112429897873, + -0.5143955551593529, + -0.512645165915975, + -0.5172177082868693, + -0.5268480753895876, + -0.5401839031437292, + -0.5558226329475046, + -0.5723492016731822, + -0.5883733977065824, + -0.6025659372716403, + -0.6136923544766638, + -0.6206438603388968, + -0.6224644088701343, + -0.6183733099981658, + -0.607782847048851, + -0.5903104877112443, + -0.5657854185167601, + -0.534249280303304, + -0.49595113217390724, + -0.4513368203044503, + -0.40103307184947823, + -0.3458267695112889, + -0.28663998566732274, + -0.2245014631919612, + -0.16051532054060297, + -0.09582782901684361, + -0.031593158654927754, + 0.031060985392293315, + 0.09106691229518368, + 0.14744877909717388, + 0.19935185174716483, + 0.24606840409150546, + 0.287059552709456, + 0.32197243097362516, + 0.35065222663503903, + 0.3731487405115594, + 0.38971726612555235, + 0.400813737790848, + 0.4070842439504073, + 0.40934914973051234, + 0.40858221397047545, + 0.40588521781825043, + 0.4024587409953654, + 0.39956982499048493, + 0.3985173470955031, + 0.4005959931679073, + 0.4070597586213748, + 0.41908592530403765, + 0.4377404560986918, + 0.4639457193497369, + 0.49845140226552787, + 0.5418093975227567, + 0.5943533522247062, + 0.6561834554587753, + 0.7271569127322066, + 0.8068844156926407, + 0.8947327672200084, + 0.9898336688850273, + 1.0910985237111566, + 1.1972389559879617, + 1.3067926053385288, + 1.4181536179593606, + 1.5296071372988171, + 1.6393669924603231, + 1.7456156979414779, + 1.846545815111616, + 1.940401685721228, + 2.0255205317925675, + 2.100371924931463, + 2.163594661287822, + 2.2140301353332736, + 2.250751384986861, + 2.273087080517424, + 2.2806398476870813, + 2.2732984489260737, + 2.2512434917161785, + 2.21494648727622, + 2.16516224134245, + 2.102914718448844, + 2.0294766777405013, + 1.9463435281675021, + 1.855201990241167, + 1.7578942769752093, + 1.656378615105944, + 1.5526870165248505, + 1.4488812768804853, + 1.3470082218643908, + 1.2490552407105724, + 1.1569071404344233, + 1.0723053234511444, + 0.9968102361915869, + 0.9317679585111398, + 0.8782817049599438, + 0.837188891756151, + 0.8090442904364306, + 0.7941096438894841, + 0.7923499663511168, + 0.8034365897101877, + 0.8267568580225266, + 0.8614302143606787, + 0.9063302728775202, + 0.9601123279041615, + 1.0212456244561237, + 1.0880496037670448, + 1.1587332460739221, + 1.2314365630301647, + 1.3042732454791441, + 1.37537344996477, + 1.4429257097720898, + 1.5052169833553597, + 1.5606699039918417, + 1.6078763680793418, + 1.6456266938013964, + 1.6729336945369482, + 1.6890511395650325, + 1.6934862151050853, + 1.686005748039711, + 1.6666361090777386, + 1.6356568678022878, + 1.5935884251594288, + 1.5411739956985204, + 1.4793564486622008, + 1.4092506404845353, + 1.3321119783709299, + 1.2493020427965493, + 1.1622521638419845, + 1.072425890685862, + 0.9812813142619553, + 0.890234199624644, + 0.8006228571158016, + 0.7136756307508397, + 0.6304818096828938, + 0.551966676047221, + 0.47887129231440223, + 0.41173750630882505, + 0.35089851546178624, + 0.29647518713544996, + 0.2483781826423102, + 0.20631578266914488, + 0.16980716498122053, + 0.13820074523562506, + 0.11069706200088263, + 0.0863755709291173, + 0.06422461337735835, + 0.04317374412913415, + 0.02212754324871162, + 2.144783963361557e-16 + ], + [ + 0, + -0.02554127922068466, + -0.05462251061437802, + -0.0880437393259272, + -0.1264559371300837, + -0.17033926970952776, + -0.21998610051228992, + -0.27548920180720476, + -0.3367355082730256, + -0.4034056043818565, + -0.47497898761925983, + -0.5507449990024363, + -0.6298191642322765, + -0.7111645469045536, + -0.7936175831172014, + -0.8759177479085516, + -0.9567403012821295, + -1.0347312777498643, + -1.1085438205198153, + -1.1768749213047036, + -1.2385016103051047, + -1.2923156487040783, + -1.337355807869741, + -1.3728368746665631, + -1.3981745995062973, + -1.4130059011526777, + -1.4172037574493137, + -1.410886341237269, + -1.3944201025576328, + -1.3684166482851987, + -1.3337234248891603, + -1.2914083652221247, + -1.24273881223119, + -1.189155177466712, + -1.1322399266044056, + -1.0736826045184025, + -1.015241715712431, + -0.9587043595141344, + -0.9058445812272665, + -0.8583814388168822, + -0.817937798648881, + -0.7860008628949458, + -0.7638853956382524, + -0.7527005552757643, + -0.7533211589013316, + -0.766364101919798, + -0.792170535644921, + -0.8307942699820802, + -0.8819967207776153, + -0.9452485656151197, + -1.0197381115493351, + -1.104386217401028, + -1.1978674557213511, + -1.2986370492249868, + -1.4049629770686092, + -1.514962521232981, + -1.626642415523808, + -1.7379416719858647, + -1.8467760939855862, + -1.9510834434760436, + -2.0488682130500306, + -2.1382449617383084, + -2.2174792069303675, + -2.2850249224784154, + -2.33955777359287, + -2.3800033205903612, + -2.405559543442392, + -2.415713174473463, + -2.4102494741711555, + -2.389255241300211, + -2.35311500955106, + -2.302500544879025, + -2.2383539165627306, + -2.161864566966962, + -2.0744409463470257, + -1.9776774063536058, + -1.8733171561115625, + -1.7632121751999685, + -1.6492810463878598, + -1.5334657159576208, + -1.4176882098316568, + -1.3038083290713856, + -1.1935833188190568, + -1.0886304511918536, + -0.9903933863948606, + -0.900113079330039, + -0.818803883686131, + -0.7472353747883542, + -0.6859202696306896, + -0.6351086710637329, + -0.5947887068285805, + -0.5646934768840797, + -0.5443140681581826, + -0.5329182482700182, + -0.5295743125480481, + -0.5331794351765969, + -0.5424917685549344, + -0.5561654475442231, + -0.5727875893157037, + -0.5909163365680962, + -0.6091189729465799, + -0.6260091449630436, + -0.6402822543713549, + -0.6507481379735098, + -0.6563602268220523, + -0.6562404717947677, + -0.6496994351062512, + -0.6362510746095605, + -0.6156218864888547, + -0.5877542186286544, + -0.5528037178520405, + -0.5111310255335327, + -0.46328798399302956, + -0.4099987568364095, + -0.3521363964819698, + -0.2906955082280605, + -0.22676175945926655, + -0.1614790624662094, + -0.09601531786732986, + -0.03152764130857968, + 0.03087199190676124, + 0.0901497616287223, + 0.1453807901877127, + 0.19577687378851885, + 0.24071040927862053, + 0.279733866614273, + 0.31259427311420807, + 0.33924230517607534, + 0.35983572325403995, + 0.37473703300919625, + 0.3845054059214054, + 0.38988304248040095, + 0.391776306554857, + 0.39123209697551276, + 0.38941004826573317, + 0.38755126359981557, + 0.38694437662222547, + 0.38888981231463865, + 0.39466316874580615, + 0.40547866992307063, + 0.4224536443063471, + 0.4465749636703657, + 0.47866833334054765, + 0.5193712584106777, + 0.5691104229771387, + 0.6280841128283798, + 0.6962501890233064, + 0.773319983407742, + 0.8587583407246611, + 0.9517898791989244, + 1.0514113861158616, + 1.1564101108332636, + 1.2653875687131846, + 1.3767883293595493, + 1.4889331348145576, + 1.6000555812164738, + 1.7083415036899718, + 1.8119701313119414, + 1.9091560287464653, + 1.9981908148890333, + 2.077483647328228, + 2.1455994847389546, + 2.2012941869672504, + 2.2435455834528657, + 2.271579733085884, + 2.2848917103972015, + 2.2832603814469845, + 2.2667567747928747, + 2.2357458050440537, + 2.1908812650373894, + 2.1330941637433645, + 2.0635746466899283, + 1.9837478900783856, + 1.895244505077669, + 1.7998661214622422, + 1.6995469365490885, + 1.5963121134239258, + 1.4922339893144, + 1.389387108775557, + 1.2898031257702467, + 1.1954266230210686, + 1.1080728760627734, + 1.0293885437345682, + 0.9608161975262831, + 0.9035635109147064, + 0.8585778188187085, + 0.8265266292680149, + 0.8077845274409431, + 0.8024267598405987, + 0.8102296272605649, + 0.8306776532160778, + 0.8629773336284143, + 0.9060771176623086, + 0.9586931225159739, + 1.019339950218831, + 1.0863658553648134, + 1.1579914120729802, + 1.232350748739557, + 1.3075343622263549, + 1.3816324903577804, + 1.4527780137144708, + 1.519187874845629, + 1.5792020446889956, + 1.6313191310980122, + 1.6742278112677147, + 1.706833376327145, + 1.7282787997521103, + 1.7379598784621877, + 1.7355341430787612, + 1.720923388166992, + 1.6943098305352349, + 1.6561260599288772, + 1.6070390978734352, + 1.5479290232642255, + 1.4798627540583567, + 1.404063689898157, + 1.3218780178694465, + 1.2347385605147596, + 1.1441270998366606, + 1.0515361420543325, + 0.9584310946222485, + 0.8662138093944041, + 0.776188404340601, + 0.6895302120055987, + 0.6072586176265894, + 0.530214445691041, + 0.4590424333944672, + 0.3941791960151285, + 0.3358469460522601, + 0.2840530787061796, + 0.2385955846893743, + 0.19907410127686964, + 0.1649062677177893, + 0.13534891528583107, + 0.10952349876301845, + 0.08644506813270271, + 0.06505398941607038, + 0.04424955417366562, + 0.02292456994578141, + 2.242531641306249e-16 + ], + [ + 0, + -0.026997226770318048, + -0.057960636488907175, + -0.09362231031602426, + -0.13455168115565408, + -0.18113620882030315, + -0.23356711630571675, + -0.29183058512585114, + -0.3557046656531908, + -0.42476200964202476, + -0.4983783803522815, + -0.575746744786564, + -0.6558966063322976, + -0.7377180982791366, + -0.8199902327660961, + -0.9014125889147988, + -0.9806396310599408, + -1.0563167754832214, + -1.127117273772226, + -1.1917789541855845, + -1.249139859945389, + -1.2981718453245403, + -1.3380112362655256, + -1.3679857309726309, + -1.3876368058019, + -1.3967370006390145, + -1.3953015831315572, + -1.3835942295426513, + -1.3621265081939222, + -1.331651105791493, + -1.2931488935423459, + -1.2478100849673257, + -1.19700988683021, + -1.1422791848858753, + -1.0852709336826416, + -1.027723031220137, + -0.9714185520407975, + -0.9181442839554574, + -0.8696485622265895, + -0.8275994193772404, + -0.7935440681788214, + -0.7688707097320518, + -0.7547736084464138, + -0.7522223023045417, + -0.761935721806589, + -0.7843618766995372, + -0.8196636387613107, + -0.8677110046960465, + -0.9280800691065805, + -1.0000587772937823, + -1.0826593651971115, + -1.174637233104603, + -1.2745158447537306, + -1.3806170979136356, + -1.4910964800522388, + -1.6039822065010232, + -1.7172174414916916, + -1.828704626941299, + -1.9363508917687795, + -2.0381134871264854, + -2.132044190912337, + -2.216331648355863, + -2.289340663787842, + -2.349647530740049, + -2.3960705815311605, + -2.427695251190622, + -2.443893081186435, + -2.444334232774068, + -2.4289932343550675, + -2.398147848260506, + -2.3523711059343952, + -2.292516722605175, + -2.219698259256801, + -2.1352625472380877, + -2.0407580256019346, + -1.9378987599840882, + -1.8285250116500422, + -1.714561303862239, + -1.5979729880762465, + -1.480722343365182, + -1.3647252481986512, + -1.2518094441889942, + -1.1436753672062607, + -1.0418604535034057, + -0.9477077389117912, + -0.862339460024168, + -0.7866362403164352, + -0.7212223045173427, + -0.6664570146950161, + -0.6224328652127057, + -0.5889799147875447, + -0.5656764762950461, + -0.5518657325866314, + -0.5466778031777887, + -0.5490566557399906, + -0.5577911410921305, + -0.5715493336422806, + -0.5889152833177679, + -0.6084272317576225, + -0.6286163161757656, + -0.6480447794876713, + -0.6653427250666296, + -0.679242498283972, + -0.6886098436190146, + -0.6924710738592856, + -0.6900355944866261, + -0.6807132490301891, + -0.6641260868357771, + -0.6401142999053987, + -0.6087362265218994, + -0.5702624724708063, + -0.5251643519398862, + -0.47409699580284465, + -0.41787761131054324, + -0.35745950079327393, + -0.2939025547170494, + -0.22834102363380407, + -0.16194944198645825, + -0.09590762266691581, + -0.031365663536938614, + 0.03059009473714133, + 0.08896924615119711, + 0.1429067681500749, + 0.19168894933177957, + 0.2347750956017639, + 0.2718144242690542, + 0.3026576807717344, + 0.3273631499801893, + 0.3461968798755799, + 0.35962708614318395, + 0.3683128580349428, + 0.3730874348922361, + 0.3749364651948386, + 0.3749717922928479, + 0.3744014297151249, + 0.3744964910976925, + 0.3765559227188264, + 0.38186994822389403, + 0.3916831737650152, + 0.4071583164354297, + 0.4293415091131078, + 0.45913010082214034, + 0.4972438142612526, + 0.5442000426133307, + 0.6002939680705724, + 0.6655840671275706, + 0.7398834354979086, + 0.822757221763699, + 0.9135263071328985, + 1.0112772127240337, + 1.114878059504012, + 1.2230002532710014, + 1.3341454217202384, + 1.4466769963003747, + 1.5588557116402137, + 1.6688781928287197, + 1.7749177183682103, + 1.8751661863019486, + 1.9678762744112333, + 2.0514027734660365, + 2.124242085671468, + 2.185068918434419, + 2.2327692655212252, + 2.2664688521350205, + 2.2855563253982867, + 2.289700594661244, + 2.2788618640003637, + 2.2532960488792404, + 2.213552426578949, + 2.160464531826089, + 2.09513447110404, + 2.018910987465275, + 1.9333617583947047, + 1.840240548711782, + 1.7414499652224826, + 1.6390006667766972, + 1.5349679699226735, + 1.4314468543443593, + 1.3305064121389063, + 1.2341447997483026, + 1.1442457406240287, + 1.0625375907239814, + 0.990555918581972, + 0.9296104684144691, + 0.8807572705598924, + 0.8447765410180517, + 0.8221568739548528, + 0.8130860811195599, + 0.8174488738410246, + 0.8348314204806285, + 0.8645326488864438, + 0.9055820034890715, + 0.9567632140914397, + 1.0166434918361054, + 1.0836074407142373, + 1.1558948633824773, + 1.2316415506152418, + 1.3089220765817475, + 1.3857935788887448, + 1.4603394839733301, + 1.5307121453532828, + 1.5951733942117554, + 1.6521320579601948, + 1.700177581344868, + 1.7381089843392425, + 1.764958508988978, + 1.7800094405968463, + 1.7828077338289605, + 1.773167227879551, + 1.751168392939708, + 1.7171507089618336, + 1.6716989331749537, + 1.6156236611555987, + 1.5499367238486816, + 1.475822086391385, + 1.394603020907788, + 1.3077064120323814, + 1.2166251187019275, + 1.122879357189735, + 1.0279780874909683, + 0.9333813776554672, + 0.8404646887744922, + 0.7504859679356062, + 0.6645563590257878, + 0.5836152437947508, + 0.5084102105927524, + 0.4394824186077642, + 0.3771576845432329, + 0.32154347007426315, + 0.27253179585865656, + 0.22980795521445352, + 0.1928647516590002, + 0.1610218430878704, + 0.13344964501347728, + 0.10919712925898131, + 0.08722275572524446, + 0.06642769579219056, + 0.04569044855803512, + 0.02390191688956869, + 2.3565662112874196e-16 + ], + [ + 0, + -0.028612205205775034, + -0.061588996965975785, + -0.09958653354585015, + -0.14308595059427662, + -0.19237665861277914, + -0.2475449869750185, + -0.30846849495558337, + -0.37481612263867375, + -0.44605420235266785, + -0.5214581982750532, + -0.6001298919554167, + -0.681019588518671, + -0.762952785872484, + -0.8446606307262154, + -0.9248133836613168, + -1.0020560334802628, + -1.0750451407196198, + -1.142485953118033, + -1.203168822975414, + -1.2560039681119617, + -1.3000536543038896, + -1.334560936793628, + -1.3589741803103894, + -1.372966679000058, + -1.376450817251194, + -1.3695863466700229, + -1.3527825000821232, + -1.3266938168112097, + -1.2922097107940567, + -1.250437970416249, + -1.202682532368068, + -1.1504160174838827, + -1.0952476507862678, + -1.0388873074281653, + -0.9831065278917464, + -0.9296974270771433, + -0.8804304807126391, + -0.8370122073086906, + -0.8010437737208298, + -0.7739815369564665, + -0.7571004944580879, + -0.7514615506384672, + -0.7578834204470153, + -0.776919883284399, + -0.8088429752384717, + -0.853632567417524, + -0.9109726265077609, + -0.9802542942695213, + -1.060585759397276, + -1.1508087319895097, + -1.249521171797433, + -1.355105770341811, + -1.4657635476099322, + -1.5795517997917436, + -1.6944255284402412, + -1.8082813961582436, + -1.9190031915263117, + -2.024507748039934, + -2.122790249265278, + -2.211967865578151, + -2.29032070641581, + -2.356329135020823, + -2.408706578663534, + -2.4464270742075587, + -2.468746914031648, + -2.4752198976955233, + -2.465705846918767, + -2.4403722017244736, + -2.399688680080705, + -2.344415148049213, + -2.275583008317069, + -2.1944705681335686, + -2.10257298938544, + -2.0015675503851855, + -1.8932750578556399, + -1.7796183359470397, + -1.6625787848074167, + -1.544152042687462, + -1.4263038018399292, + -1.3109268192319332, + -1.1998001286162903, + -1.0945514017136704, + -0.9966233246462709, + -0.9072447534003624, + -0.8274072915497844, + -0.7578477977595895, + -0.6990371830896666, + -0.6511757024977319, + -0.6141947850571325, + -0.587765287212205, + -0.5713118968459809, + -0.5640332668862938, + -0.5649273192869642, + -0.5728210368660173, + -0.5864039546700474, + -0.6042644768280266, + -0.6249280813189892, + -0.6468964352105936, + -0.6686864276419138, + -0.6888681374224299, + -0.7061007862782778, + -0.7191657865628173, + -0.726996072141012, + -0.7287010010864317, + -0.7235862362302831, + -0.7111681414763248, + -0.691182374790196, + -0.663586509260565, + -0.628556667805325, + -0.586478311065695, + -0.5379314679123285, + -0.4836708400071558, + -0.4246013424515931, + -0.3617497584271151, + -0.29623328399238497, + -0.22922581738318087, + -0.16192290331500134, + -0.09550627551780706, + -0.031108949232382995, + 0.030218200526483014, + 0.08753747906281767, + 0.14005219747810824, + 0.1871305348478068, + 0.2283247919232406, + 0.26338551130859333, + 0.29227007274581723, + 0.31514551599662577, + 0.3323854941944773, + 0.34456141363871434, + 0.3524279679351031, + 0.35690342129565245, + 0.3590451339628519, + 0.3600209486031415, + 0.3610771669103163, + 0.363503937746482, + 0.3685989495574442, + 0.3776303686791907, + 0.3917999902136777, + 0.4122075687033773, + 0.4398172717965815, + 0.47542715200817676, + 0.5196424606862255, + 0.5728535361123952, + 0.6352188865471994, + 0.7066539617110104, + 0.7868259658116392, + 0.875154915264788, + 0.9708209884280824, + 1.0727780568599972, + 1.1797731317575468, + 1.2903713092171636, + 1.4029856575609456, + 1.5159113627041578, + 1.6273633366197273, + 1.7355164021927008, + 1.838547097495004, + 1.9346760955612003, + 2.022210213350566, + 2.099582986373487, + 2.165392813453605, + 2.2184377286801515, + 2.257745933557588, + 2.282601319882105, + 2.292563330630494, + 2.287480639322001, + 2.2674982746826164, + 2.2330579734483758, + 2.1848917059902244, + 2.1240084831789887, + 2.0516747145329273, + 1.969388543246695, + 1.8788487293773894, + 1.7819187846856375, + 1.6805871781500197, + 1.5769245271481565, + 1.4730387633631687, + 1.3710293127982898, + 1.2729413546158594, + 1.1807212232209208, + 1.0961739920729605, + 1.0209242267488354, + 0.9563808200253354, + 0.9037067250137734, + 0.8637942860118111, + 0.8372467335710552, + 0.8243662635545851, + 0.8251489632494926, + 0.8392866847218527, + 0.8661758005206026, + 0.9049326135692598, + 0.9544150355998935, + 1.0132500006069212, + 1.0798659451148394, + 1.1525295688226278, + 1.2293859902603543, + 1.3085013348448615, + 1.3879067389920543, + 1.4656427249929145, + 1.5398028978394906, + 1.608575937119935, + 1.670284903887243, + 1.7234229528340088, + 1.7666846323842487, + 1.7989920671191406, + 1.8195154454848217, + 1.8276873777794782, + 1.8232108414500718, + 1.8060605889722348, + 1.776478054122442, + 1.7349599513127427, + 1.6822409159290794, + 1.6192706775255967, + 1.5471863887507282, + 1.4672808478150148, + 1.3809674483608345, + 1.2897427654409293, + 1.1951477381679347, + 1.0987284372491004, + 1.0019974084619738, + 0.9063965611694721, + 0.8132625248465136, + 0.7237953275261714, + 0.6390311598717244, + 0.559819879567026, + 0.4868077856816285, + 0.42042605479461126, + 0.3608850834527977, + 0.3081748287234136, + 0.26207108404061374, + 0.22214747513935917, + 0.18779281445873658, + 0.15823331566365662, + 0.1325590463145947, + 0.10975388931152476, + 0.08872819524129522, + 0.06835324037973489, + 0.04749656052006175, + 0.025057210121704566, + 2.4864427753583164e-16 + ], + [ + 0, + -0.030377388799908728, + -0.06548575637427535, + -0.10589795389799313, + -0.15200077155191968, + -0.20398105177699297, + -0.2618173921160997, + -0.32527767643161015, + -0.3939225213255426, + -0.46711457019570823, + -0.5440334144515505, + -0.6236957738695831, + -0.7049804296402031, + -0.7866572778689618, + -0.8674197613553046, + -0.945919846194386, + -1.0208046394808337, + -1.0907536969601943, + -1.154516046125715, + -1.210945951643536, + -1.259036476136519, + -1.2979499396727256, + -1.32704445458843, + -1.3458958067490179, + -1.3543140677011547, + -1.3523544516061006, + -1.3403220731683216, + -1.3187704144582317, + -1.2884934658037466, + -1.2505116648754693, + -1.2060519147472075, + -1.1565221121578655, + -1.1034807576592205, + -1.0486023462730159, + -0.993639347495417, + -0.9403816741796918, + -0.89061460868134, + -0.8460761998817572, + -0.8084151651174256, + -0.779150326044255, + -0.7596325771017077, + -0.7510103301773232, + -0.7541993005897945, + -0.7698573994700708, + -0.7983653784229974, + -0.8398137368724943, + -0.8939962540137236, + -0.9604103494251265, + -1.038264312978225, + -1.126491279713297, + -1.223769662858547, + -1.3285496021387442, + -1.4390848387725654, + -1.5534692966750605, + -1.6696775346054842, + -1.7856081391580052, + -1.8991290559242244, + -2.0081238076587002, + -2.110537525060022, + -2.2044217184297934, + -2.2879767469467645, + -2.3595909959162435, + -2.4178758498343615, + -2.461695648564956, + -2.490191932949325, + -2.5028014218613657, + -2.4992673117808053, + -2.4796436487569977, + -2.4442926873091566, + -2.3938753173483107, + -2.329334804560208, + -2.2518742478617018, + -2.1629283056951407, + -2.064129877463897, + -1.9572725440826144, + -1.8442696695800915, + -1.7271111415991995, + -1.607818780679885, + -1.4884014751677184, + -1.3708110998605547, + -1.2569002521182175, + -1.1483827897753836, + -1.0467980820886986, + -0.9534797899698072, + -0.8695298772958537, + -0.7957984240114084, + -0.7328696673089242, + -0.6810545429883161, + -0.6403898389736544, + -0.6106439108675688, + -0.591328749353677, + -0.5817180351567928, + -0.5808706729261037, + -0.587659164354039, + -0.6008020662819473, + -0.6188996842555564, + -0.6404720782765555, + -0.6639984071085947, + -0.687956611610032, + -0.7108624367432759, + -0.7313068160880074, + -0.7479906911768989, + -0.7597564094868596, + -0.765614937594425, + -0.7647682374539594, + -0.7566262811313333, + -0.7408183193804979, + -0.7171981686319348, + -0.6858434354941191, + -0.6470487538485348, + -0.601313263112347, + -0.5493227033858336, + -0.49192664029487654, + -0.43011145594014816, + -0.3649698493757049, + -0.29766767778244024, + -0.22940903578599436, + -0.16140051354532198, + -0.09481559324167105, + -0.03076013797152436, + 0.02976010304503177, + 0.08586910280691963, + 0.13684648437966093, + 0.18214907066101166, + 0.22142747285731562, + 0.2545372638606871, + 0.28154442385088163, + 0.30272489473772923, + 0.31855823372529096, + 0.32971551042032865, + 0.3370417426137882, + 0.3415333093068401, + 0.3443109120844159, + 0.34658877418201256, + 0.3496408675245977, + 0.3547650390507012, + 0.36324596667802383, + 0.3763179107771085, + 0.3951282380436961, + 0.42070268085900575, + 0.45391325688338685, + 0.49544971164226775, + 0.545795262728099, + 0.6052073200102059, + 0.6737037344755302, + 0.751054992020925, + 0.8367826210555007, + 0.9301639278089732, + 1.0302430146344226, + 1.1358478782955994, + 1.2456132311956984, + 1.3580085425948383, + 1.4713706627421346, + 1.5839402738951769, + 1.693901311425341, + 1.7994224181772187, + 1.8986994380215538, + 1.989997921607684, + 2.071694609581196, + 2.1423168762587426, + 2.2005791595895317, + 2.245415470204122, + 2.2760071618798934, + 2.2918052557022577, + 2.2925467379260964, + 2.2782643939549905, + 2.2492898944995954, + 2.2062500111121057, + 2.150056002990575, + 2.081886381181001, + 2.0031634160569043, + 1.915523905311032, + 1.8207848589378064, + 1.7209048813962327, + 1.6179421362779904, + 1.5140098627712806, + 1.4112304739339279, + 1.311689302760865, + 1.2173890723506033, + 1.1302061508686092, + 1.0518496108336945, + 0.9838240465041208, + 0.9273970144025971, + 0.8835718524464687, + 0.853066505403653, + 0.8362988415842926, + 0.8333787912783596, + 0.8441074752192157, + 0.8679833252414448, + 0.9042150333501633, + 0.9517410036640913, + 1.0092548280660893, + 1.0752361646204347, + 1.1479862713297382, + 1.2256673396618842, + 1.3063446850816742, + 1.3880307876583013, + 1.4687301362072493, + 1.5464838152766176, + 1.6194127858907739, + 1.6857588479724128, + 1.743922333808124, + 1.7924956662340814, + 1.8302920202685036, + 1.8563684500722712, + 1.8700429813025052, + 1.8709053186966567, + 1.8588209763688026, + 1.8339287999103515, + 1.7966320109707345, + 1.7475830625649236, + 1.687662743037582, + 1.6179541047355317, + 1.539711916623497, + 1.4543284453223817, + 1.3632964538069032, + 1.2681703692362887, + 1.1705266096380864, + 1.071924072551071, + 0.9738657770091842, + 0.8777626137902967, + 0.7849000986531097, + 0.6964089409241812, + 0.6132401374057231, + 0.5361451817804795, + 0.4656618455491502, + 0.40210584145773204, + 0.34556852803334365, + 0.295920658099499, + 0.2528220189160002, + 0.21573666079558093, + 0.1839532684831298, + 0.156610098825603, + 0.13272379259201014, + 0.11122127062038722, + 0.09097384721436524, + 0.07083263881123561, + 0.04966431475785986, + 0.026386230323861566, + 2.631548349074569e-16 + ], + [ + 0, + -0.032282286969046274, + -0.06962600022266754, + -0.11251395478632942, + -0.16123332671111024, + -0.215864752465379, + -0.27627721559977736, + -0.34212887431706746, + -0.4128738285152488, + -0.48777466963881955, + -0.5659205052092694, + -0.6462500060596059, + -0.7275788917279641, + -0.8086311515505387, + -0.8880731987472186, + -0.9645500747861662, + -1.0367227636120286, + -1.1033056414342273, + -1.1631030786081076, + -1.2150442259942575, + -1.2582150587137257, + -1.2918868144730522, + -1.3155400500597936, + -1.3288836460948907, + -1.3318682140541764, + -1.3246934978772493, + -1.3078095117410888, + -1.2819113120806471, + -1.2479274617921878, + -1.2070024037685674, + -1.1604731155069143, + -1.1098405626226686, + -1.0567366030269718, + -1.0028871118985758, + -0.9500721974081276, + -0.9000844558862823, + -0.8546862707415053, + -0.8155671904705001, + -0.7843024267129399, + -0.7623134932594081, + -0.7508319616389404, + -0.7508672394275409, + -0.7631791853693194, + -0.788256262986506, + -0.8262998042796325, + -0.8772148105320782, + -0.9406075616450743, + -1.015790142628944, + -1.1017918298368263, + -1.1973771143078775, + -1.301069979233662, + -1.411183897006578, + -1.5258568722740937, + -1.6430907343267007, + -1.7607937780226313, + -1.8768257698686035, + -1.9890442768772678, + -2.0953512418764637, + -2.1937387209077355, + -2.2823327164423115, + -2.3594340839429213, + -2.4235555577595624, + -2.4734540338139768, + -2.508157358783163, + -2.5269850058108783, + -2.5295621619887574, + -2.515826909422559, + -2.4860303458238007, + -2.440729658248585, + -2.380774330764544, + -2.3072858293992033, + -2.221631261759246, + -2.1253916504730426, + -2.0203255856648523, + -1.9083291289732276, + -1.791392927596041, + -1.6715575594237044, + -1.550868168031207, + -1.43132945826977, + -1.3148621091966362, + -1.2032616215088876, + -1.0981605525360114, + -1.0009950048278915, + -0.9129761266425864, + -0.8350672568902762, + -0.7679672064621059, + -0.7121000158626705, + -0.6676113694425739, + -0.6343716832431938, + -0.6119857205514923, + -0.5998084307326219, + -0.5969665566590688, + -0.6023854177704588, + -0.6148201528566622, + -0.6328906020494968, + -0.6551189237646267, + -0.6799689814614184, + -0.7058864985180912, + -0.7313389680790559, + -0.7548543186204741, + -0.7750573747676172, + -0.7907032155333036, + -0.8007066169878467, + -0.8041668712249458, + -0.8003873956667362, + -0.7888896831397192, + -0.769421290287192, + -0.7419577160367955, + -0.706698179118464, + -0.6640554600617521, + -0.6146401247534514, + -0.5592395896936458, + -0.4987926199597674, + -0.4343599662932958, + -0.36709194477499657, + -0.29819383882900524, + -0.2288900568959789, + -0.1603880087150098, + -0.09384266803263619, + -0.03032276961707917, + 0.02922045577612833, + 0.08398117222593396, + 0.13332270781061797, + 0.17679656265888788, + 0.21415614084513332, + 0.2453648287709991, + 0.27059819013674236, + 0.2902402011045402, + 0.3048736048987879, + 0.3152646189262299, + 0.32234237562534007, + 0.32717361690443947, + 0.33093328767185826, + 0.3348717833932032, + 0.34027969702918953, + 0.34845097978651246, + 0.3606454760612947, + 0.37805181455642844, + 0.401751634207162, + 0.4326860952760184, + 0.4716255734265724, + 0.5191433590143811, + 0.5755940870804799, + 0.6410975079708598, + 0.715528076982437, + 0.7985106972059332, + 0.8894227963770549, + 0.9874027598733368, + 1.0913645819605713, + 1.2000184399974623, + 1.3118967454912338, + 1.4253850854464314, + 1.5387573409006055, + 1.6502141600925824, + 1.757923874142353, + 1.8600648757291904, + 1.9548684377848058, + 2.040660930828202, + 2.1159044047985303, + 2.179234533996431, + 2.2294949812967415, + 2.2657673188042815, + 2.287395744665694, + 2.294005957363729, + 2.2855176865700617, + 2.262150530179477, + 2.2244229068304566, + 2.1731440981422563, + 2.1093995210375227, + 2.0345295338075293, + 1.9501022360124585, + 1.8578808680531846, + 1.7597865477224912, + 1.657857195006233, + 1.5542035900500952, + 1.4509635802197338, + 1.3502554988010695, + 1.254131878947237, + 1.164534541440461, + 1.0832521038003162, + 1.0118809019709125, + 0.9517902356140495, + 0.9040927458646685, + 0.8696206127485233, + 0.8489081212762292, + 0.8421809938742886, + 0.8493527259751593, + 0.8700279951790976, + 0.9035130464695977, + 0.9488327905961497, + 1.0047541939518245, + 1.0698153899242109, + 1.1423598073827594, + 1.2205744949328887, + 1.3025317226396658, + 1.3862328684281855, + 1.46965354607683, + 1.5507889068116478, + 1.6276980475373262, + 1.6985464856185981, + 1.7616457121356366, + 1.8154889113424952, + 1.8587820317407346, + 1.8904695112874006, + 1.909754092861691, + 1.9161103128903794, + 1.9092914023335972, + 1.8893295011878366, + 1.8565292512680778, + 1.8114549932505717, + 1.7549119488238631, + 1.687921913506507, + 1.6116941167034398, + 1.5275920196946529, + 1.4370969167105845, + 1.3417692767739158, + 1.2432088128520629, + 1.1430142889349195, + 1.0427440744139576, + 0.9438784287079606, + 0.8477844482002757, + 0.755684533573619, + 0.6686291404748613, + 0.587474462561776, + 0.5128655662872913, + 0.44522535456440276, + 0.3847495853332205, + 0.33140801484338783, + 0.28495157811378136, + 0.24492536450216953, + 0.2106869984982172, + 0.18142989845761803, + 0.15621076246983898, + 0.13398052399052876, + 0.11361793293564827, + 0.09396485279500832, + 0.07386232259483282, + 0.05218641524862939, + 0.027882931393530333, + 2.7911058610218833e-16 + ], + [ + 0, + -0.03431482873161094, + -0.07398194684347316, + -0.11938813410410382, + -0.17071652570818688, + -0.2279388430439266, + -0.2908135615181588, + -0.3588900811667121, + -0.43151880893141886, + -0.5078669067694453, + -0.5869393111043989, + -0.6676044903111101, + -0.7486242814814436, + -0.8286870388478765, + -0.9064432367318044, + -0.9805426020375292, + -1.0496718068914093, + -1.1125917322028482, + -1.1681733182570948, + -1.2154310488655962, + -1.2535531703941412, + -1.2819278248455004, + -1.3001643751939975, + -1.3081093189226545, + -1.3058563192932684, + -1.293750029978061, + -1.2723835436701665, + -1.242589455311264, + -1.205424691635779, + -1.1621494168054523, + -1.1142004750342784, + -1.06315997148475, + -1.0107197188140924, + -0.9586423853729851, + -0.9087202694464883, + -0.8627326898104591, + -0.8224030245446993, + -0.7893564463804356, + -0.765079393375067, + -0.7508817785503912, + -0.7478628820869793, + -0.7568817861397729, + -0.7785331073147085, + -0.8131286578451568, + -0.8606855265255445, + -0.9209209178935335, + -0.9932539267139792, + -1.0768142584456313, + -1.1704577391314777, + -1.2727882941405355, + -1.382185918424333, + -1.4968400152852708, + -1.614787349668575, + -1.7339537489115562, + -1.8521985915041994, + -1.967361055019978, + -2.077307049690003, + -2.1799757452376842, + -2.2734246060533043, + -2.3558718834118553, + -2.425735572426234, + -2.4816679243618647, + -2.5225847098129948, + -2.547688552511057, + -2.556485794183352, + -2.5487965044859635, + -2.5247574128617973, + -2.4848177072613016, + -2.4297278139208736, + -2.3605214387061073, + -2.278491309852486, + -2.1851592104068107, + -2.082241022689682, + -1.971607623420713, + -1.8552425639686734, + -1.7351975432089097, + -1.6135467289517498, + -1.4923410067148852, + -1.3735632312462818, + -1.2590855268038272, + -1.1506296275420345, + -1.049731170844476, + -0.9577087560553788, + -0.875638461322054, + -0.8043343751507032, + -0.7443355501868463, + -0.6958996283577032, + -0.6590032227771414, + -0.6333489767588026, + -0.6183790579777202, + -0.6132946902565792, + -0.617081180445581, + -0.6285377669608223, + -0.6463115029341793, + -0.6689342933612878, + -0.6948621343632769, + -0.7225155553943641, + -0.7503202430232921, + -0.7767468282585869, + -0.800348848105862, + -0.8197979453389214, + -0.8339154469240448, + -0.8416995591727799, + -0.8423475340034662, + -0.8352722926950056, + -0.8201131378616394, + -0.7967403374062442, + -0.7652535220534021, + -0.7259739967399629, + -0.6794312216542505, + -0.6263438671554604, + -0.5675959844457515, + -0.5042089572593731, + -0.4373100058886138, + -0.36809810093778417, + -0.2978082081414162, + -0.22767482581794296, + -0.1588957920692775, + -0.09259732931673709, + -0.02980125945201037, + 0.028604735330060194, + 0.0818930115690318, + 0.12951732996812604, + 0.17112911248679735, + 0.20658814988274066, + 0.23596746337943247, + 0.2595521767247084, + 0.2778324113238508, + 0.29149037340836464, + 0.30138195437174026, + 0.308513309599789, + 0.3140130136772691, + 0.3191005073862939, + 0.32505165142205855, + 0.333162280684664, + 0.34471070932413694, + 0.36092016894687196, + 0.38292216966715387, + 0.411721755764349, + 0.44816558497471115, + 0.49291369391972967, + 0.5464157234628609, + 0.6088922690647101, + 0.6803218951504839, + 0.760434212229373, + 0.8487092644924218, + 0.9443833176181546, + 1.0464609754709513, + 1.1537333943083692, + 1.2648022080265984, + 1.3781086317595428, + 1.4919670774856975, + 1.6046024975628783, + 1.7141905732900982, + 1.8188997882111573, + 1.9169343719215997, + 2.006577071038604, + 2.0862307005463996, + 2.1544574511099466, + 2.2100149756876823, + 2.2518883507731773, + 2.2793171021556304, + 2.2918165999494002, + 2.2891932600359928, + 2.271553135782549, + 2.2393036413841263, + 2.193148312585462, + 2.1340746778573423, + 2.063335479239484, + 1.9824236429458086, + 1.893041551510594, + 1.7970653080080319, + 1.696504805288223, + 1.5934605162207627, + 1.4900780020774558, + 1.3885011934052016, + 1.2908255296130935, + 1.1990520492160346, + 1.1150435020750193, + 1.0404835085296023, + 0.976839719142407, + 0.9253318345865507, + 0.8869052302862517, + 0.8622107975584741, + 0.8515914654280266, + 0.8550757085897049, + 0.872378181029529, + 0.9029074456306445, + 0.9457806017932183, + 0.9998444497830521, + 1.0637026761574309, + 1.1357484029441198, + 1.2142013177013458, + 1.2971484951958334, + 1.38258793676285, + 1.4684737924819993, + 1.5527621955550008, + 1.6334566285284466, + 1.7086517574462976, + 1.7765747121826645, + 1.8356228580020904, + 1.8843971931263086, + 1.9217306174964597, + 1.9467104462459608, + 1.9586946844451567, + 1.9573217338905056, + 1.942513364267053, + 1.9144709459189726, + 1.8736651056496596, + 1.8208191263985134, + 1.75688656239005, + 1.6830236797301097, + 1.6005574550555437, + 1.5109499687477492, + 1.4157601118870031, + 1.3166035855771538, + 1.2151122061124853, + 1.1128935389086714, + 1.0114918680290927, + 0.9123514669935486, + 0.8167830714678254, + 0.7259343671039664, + 0.6407651984869883, + 0.5620280805927685, + 0.49025445554741437, + 0.42574698831912094, + 0.3685780390446802, + 0.3185942909319978, + 0.2754273550888783, + 0.2385100211722437, + 0.20709767926088937, + 0.18029430742822825, + 0.15708230440797805, + 0.1363553503817285, + 0.11695340367531955, + 0.09769888889980306, + 0.07743310410104642, + 0.05505187146653707, + 0.02953947812674057, + 2.9641798927082e-16 + ], + [ + 0, + -0.03646146435173875, + -0.07852319080564008, + -0.12647072309751414, + -0.18037962544759006, + -0.24011096306989071, + -0.3053128195028547, + -0.3754278266115248, + -0.4497065258384988, + -0.5272262264564651, + -0.6069148820828829, + -0.6875793742332624, + -0.7679374745901328, + -0.8466526589424265, + -0.9223708679373956, + -0.9937582548937343, + -1.0595389303856386, + -1.1185317079479964, + -1.1696848752658047, + -1.2121080601522856, + -1.2451003294191707, + -1.2681737497278363, + -1.2810717504503444, + -1.2837817567296208, + -1.2765417031355826, + -1.2598401910388815, + -1.2344102122650162, + -1.2012165237723844, + -1.161436918964276, + -1.1164377967671386, + -1.067744575879977, + -1.0170076349387631, + -0.9659645763753808, + -0.916399709510986, + -0.8701017244101468, + -0.8288205802706032, + -0.7942246592563071, + -0.7678592379399156, + -0.7511073037873771, + -0.7451536939173324, + -0.7509534588594646, + -0.7692052569803597, + -0.8003304679658675, + -0.844458579073017, + -0.9014192490550217, + -0.9707412953379602, + -1.0516586840715167, + -1.1431234341435528, + -1.2438251792645965, + -1.3522169708878637, + -1.4665467529949305, + -1.584893801378731, + -1.7052092984031484, + -1.825360112315026, + -1.9431747705512386, + -2.0564905610983955, + -2.1632006662109333, + -2.261300229432553, + -2.3489302800078358, + -2.424418487877442, + -2.486315796347701, + -2.5334280764311092, + -2.5648420644229297, + -2.579944979657462, + -2.578437369287203, + -2.5603388877041557, + -2.5259868859647514, + -2.476027857207949, + -2.4114019534206177, + -2.333320952888442, + -2.243240212291607, + -2.1428252789112934, + -2.0339139633787426, + -1.9184747788045482, + -1.7985627354351894, + -1.676273539204621, + -1.5536972762810688, + -1.4328726731812933, + -1.3157430031082498, + -1.2041146643850789, + -1.0996193873625824, + -1.003680933729857, + -0.9174870390793985, + -0.8419672186932371, + -0.7777769110832882, + -0.7252882774458344, + -0.6845878117489622, + -0.655480749700452, + -0.637502099446432, + -0.6299339565968131, + -0.631828614995113, + -0.64203684624765, + -0.6592405987757906, + -0.6819892640230182, + -0.7087385759238156, + -0.737891151769802, + -0.7678376495479133, + -0.7969975094112, + -0.8238582652720084, + -0.8470124560362093, + -0.8651912335562036, + -0.8772938542042894, + -0.882412350739818, + -0.879850808054452, + -0.8691388071983791, + -0.8500387532445827, + -0.8225469602148229, + -0.7868885264909765, + -0.7435061928335539, + -0.6930435283353663, + -0.6363229335063496, + -0.5743190806096988, + -0.5081285260742999, + -0.4389363254301679, + -0.3679805553716334, + -0.29651569840887826, + -0.22577587187179987, + -0.15693888414910723, + -0.09109207698280254, + -0.02920086402998714, + 0.027919195995775324, + 0.07962604664241897, + 0.125469868958688, + 0.1652064007523034, + 0.19880447754477842, + 0.22644758383189476, + 0.24852935971103118, + 0.2656431659396591, + 0.27856596603277906, + 0.2882369331401899, + 0.29573132837568966, + 0.302230322462113, + 0.30898754081411467, + 0.3172932007335363, + 0.32843677596173004, + 0.34366916669160213, + 0.3641653711555708, + 0.3909886475634825, + 0.4250571225925639, + 0.4671137455894542, + 0.5177004075075315, + 0.5771369423284674, + 0.6455056087960751, + 0.7226415146861767, + 0.8081292979100202, + 0.9013062221778758, + 1.001271683634705, + 1.106902962848911, + 1.2168768978430784, + 1.3296970024820658, + 1.443725414285606, + 1.5572189301475408, + 1.6683682807028175, + 1.7753397069302985, + 1.8763178382526633, + 1.9695488315702891, + 2.053382716416208, + 2.126313903182594, + 2.1870188489424773, + 2.2343899379284826, + 2.267564719769639, + 2.28594975607883, + 2.289238452344404, + 2.2774223942548524, + 2.2507958621244684, + 2.2099533602276966, + 2.1557801656085847, + 2.089436069206813, + 2.012332646810312, + 1.9261045543664395, + 1.8325754876996923, + 1.7337195771127154, + 1.631619099473075, + 1.5284194814395682, + 1.426282635203262, + 1.3273397108218574, + 1.2336443658379874, + 1.1471276429553265, + 1.0695555103154992, + 1.0024900572320274, + 0.9472552525775515, + 0.9049080654577066, + 0.876215620946694, + 0.8616389205860663, + 0.8613235015367283, + 0.8750972435141403, + 0.9024753629356151, + 0.9426724631940013, + 0.9946213427899167, + 1.0569981032673421, + 1.1282529503835144, + 1.2066459483038816, + 1.2902868710790645, + 1.377178201019498, + 1.4652602521061129, + 1.552457349963396, + 1.6367239792629895, + 1.716089815173748, + 1.7887025874296654, + 1.852867782910362, + 1.9070842738573721, + 1.950075061936229, + 1.9808124507186071, + 1.998537097749522, + 2.002770548738484, + 1.993321016817948, + 1.9702823352804495, + 1.9340261786540416, + 1.8851878103043322, + 1.8246457709477477, + 1.7534960676959899, + 1.673021553977568, + 1.5846573037169294, + 1.4899528757591765, + 1.390532434484338, + 1.288053738203266, + 1.1841670272174978, + 1.0804748379402613, + 0.9784937384396495, + 0.8796189250372388, + 0.7850925406479917, + 0.6959764754279704, + 0.6131302915761927, + 0.5371947798453978, + 0.4685815088660633, + 0.4074685734880396, + 0.35380258890802724, + 0.3073068173983804, + 0.2674951580087568, + 0.23369158060747078, + 0.2050544478014324, + 0.1806050450738002, + 0.15925953398614437, + 0.13986345813731144, + 0.12122786887044412, + 0.10216609902200184, + 0.08153019925610563, + 0.05824606303967589, + 0.031346302768166474, + 3.1496841126988625e-16 + ], + [ + 0, + -0.03870728323795299, + -0.08321697579513994, + -0.1337090441076261, + -0.19014889423498163, + -0.25228619209770614, + -0.31965976861438006, + -0.39160849454274843, + -0.46728785350868574, + -0.5456917921502922, + -0.6256792873138577, + -0.7060049453530853, + -0.7853528409893593, + -0.8623727156430614, + -0.9357175898962822, + -1.0040818034894272, + -1.066238480080472, + -1.1210754233689169, + -1.167628485928269, + -1.2051115113849822, + -1.2329420329940628, + -1.2507620151752563, + -1.2584530466389996, + -1.256145531328608, + -1.2442215731196495, + -1.2233114083243601, + -1.1942834026054139, + -1.1582277918473882, + -1.1164345057849374, + -1.0703655647466728, + -1.0216226799285262, + -0.9719108126237419, + -0.9229985546391456, + -0.8766762779954003, + -0.8347130647342098, + -0.7988134655986078, + -0.7705751484874885, + -0.7514484835233334, + -0.7426990715732983, + -0.7453741580319986, + -0.7602737851351552, + -0.7879274261373702, + -0.8285767159989169, + -0.8821647488987263, + -0.9483322564292677, + -1.0264208155457686, + -1.1154830662614998, + -1.2142997498404198, + -1.3214032129871558, + -1.435106866329867, + -1.5535399402000645, + -1.6746867509144172, + -1.7964295796601681, + -1.9165941764270453, + -2.0329968354398096, + -2.1434919478742653, + -2.2460189233135184, + -2.3386473838035045, + -2.419619573225333, + -2.487388989096315, + -2.5406543322953725, + -2.5783879804464673, + -2.5998583201155463, + -2.604645418440523, + -2.5926496727859294, + -2.5640932436532466, + -2.519514247332182, + -2.459753856482497, + -2.3859366248163347, + -2.2994445122255915, + -2.2018852351801788, + -2.095055700411224, + -1.9809013945670386, + -1.8614726959229695, + -1.7388791440977802, + -1.6152427484163934, + -1.4926514340180437, + -1.3731137166422105, + -1.2585156624861245, + -1.1505811295203663, + -1.0508362026978693, + -0.9605786297091085, + -0.8808529389664784, + -0.8124317804556389, + -0.7558038764727651, + -0.7111688068779431, + -0.6784386863496374, + -0.6572466233447336, + -0.6469616861821126, + -0.646709944908677, + -0.6554010122142794, + -0.6717593761855607, + -0.6943597053009049, + -0.7216652144871122, + -0.7520681124790312, + -0.783931106766739, + -0.8156289240872261, + -0.8455888120859472, + -0.8723290211588219, + -0.8944943236687719, + -0.9108877091792179, + -0.9204974969506716, + -0.9225192280731652, + -0.9163718361683874, + -0.9017077441232982, + -0.8784166910524139, + -0.8466232546716674, + -0.8066781954469625, + -0.7591439062017334, + -0.7047744003806189, + -0.6444904101234459, + -0.579350288253636, + -0.5105175131582241, + -0.43922567972131593, + -0.36674192088055835, + -0.2943297414933903, + -0.2232122581254701, + -0.15453682484080802, + -0.08934198645617696, + -0.028527638026408595, + 0.02717081583687879, + 0.07720361366667144, + 0.12122253677769601, + 0.15909112829362243, + 0.19088895254057822, + 0.21690977151801294, + 0.23765367415306876, + 0.2538133522643575, + 0.26625487058775943, + 0.27599342295159146, + 0.2841646990489024, + 0.29199260286732265, + 0.30075416172215264, + 0.3117425414851128, + 0.3262291370300621, + 0.34542573573072627, + 0.3704477552638299, + 0.40227953485130485, + 0.4417426119163218, + 0.4894678450583388, + 0.5458721510029425, + 0.61114051004343, + 0.6852137642561332, + 0.7677825886676938, + 0.8582878611607117, + 0.9559274960703033, + 1.0596696431630224, + 1.1682719920853406, + 1.280306766473602, + 1.3941908456488539, + 1.5082203188652894, + 1.620608660803599, + 1.729527620356058, + 1.833149840212488, + 1.9296921742552149, + 2.017458644643584, + 2.0948819814250133, + 2.160562714613446, + 2.21330484134467, + 2.252147167732398, + 2.276389524585742, + 2.2856131758229576, + 2.2796948753407222, + 2.258814178952905, + 2.223453779127875, + 2.1743927976986672, + 2.1126931414018224, + 2.039679192862743, + 1.956911271371407, + 1.8661534495086591, + 1.7693364496550812, + 1.6685164652401534, + 1.5658308522837918, + 1.4634517148497237, + 1.3635384615293227, + 1.2681904376622006, + 1.1794007389698535, + 1.0990122865739764, + 1.0286771915905755, + 0.9698203608716448, + 0.9236081958542846, + 0.8909231162830695, + 0.8723445027101951, + 0.8681364994976276, + 0.8782429572448366, + 0.902289624103772, + 0.9395935234406377, + 0.9891792849440666, + 1.0498020317022287, + 1.1199762709741723, + 1.1980100951183474, + 1.2820438748351524, + 1.3700925225332206, + 1.4600903217523473, + 1.5499372611274416, + 1.6375457797150632, + 1.7208868253493799, + 1.7980341491205936, + 1.8672058064948946, + 1.9268019078034915, + 1.9754377559944287, + 2.011971625279245, + 2.0355265677300856, + 2.0455057826741854, + 2.041601242228087, + 2.0237954315923505, + 1.992356230709077, + 1.9478251304313186, + 1.8909991373711073, + 1.822906873133227, + 1.7447795119989307, + 1.6580173229264057, + 1.5641526840285083, + 1.4648105180091155, + 1.3616671534727451, + 1.25640864825107, + 1.1506896162256082, + 1.0460935785242689, + 0.944095814031525, + 0.8460296141079012, + 0.7530567540910025, + 0.666142881926332, + 0.58603839502107, + 0.5132652334160163, + 0.44810986425504157, + 0.3906225731680282, + 0.34062301659147715, + 0.2977118292980027, + 0.26128792750593627, + 0.2305710037536185, + 0.20462857886020439, + 0.18240686202679843, + 0.16276457530801025, + 0.14450882566184278, + 0.12643205837189955, + 0.10734910104135272, + 0.08613330816862366, + 0.061750842476372365, + 0.033292179986283, + 3.3463903405064364e-16 + ], + [ + 0, + -0.041036146987973275, + -0.08802849433158214, + -0.14104800268388815, + -0.19994831310569483, + -0.26436796739497365, + -0.33373870852313486, + -0.4072996545933023, + -0.48411698575922135, + -0.5631086386202218, + -0.6430733704249557, + -0.722723439343147, + -0.8007200500659994, + -0.8757106385603042, + -0.9463670178764967, + -1.011423379855294, + -1.0697131461255753, + -1.1202036860293996, + -1.1620279684943153, + -1.1945122882117267, + -1.2171993019828262, + -1.2298657264109423, + -1.232534180400195, + -1.225478801883656, + -1.2092244242190184, + -1.184539259866576, + -1.1524212032509915, + -1.1140780269919934, + -1.0709019018974555, + -1.0244388173161685, + -0.9763536109585489, + -0.9283914327561469, + -0.8823365628070755, + -0.8399695764967562, + -0.8030238985972709, + -0.7731428112391036, + -0.7518379774558107, + -0.7404505125146907, + -0.7401155801071541, + -0.751731410960381, + -0.7759335394326545, + -0.8130749316146905, + -0.8632125393253477, + -0.9261006615377694, + -1.0011913319224177, + -1.087641782321706, + -1.1843288612081768, + -1.2898701177098102, + -1.402651099748245, + -1.5208582632134122, + -1.6425167516262347, + -1.765532185812709, + -1.8877355036939958, + -2.0069298138552307, + -2.1209381749960614, + -2.2276511879858303, + -2.3250732887022507, + -2.4113666581234154, + -2.4848917206102668, + -2.544243280659553, + -2.5882814507151175, + -2.6161566454234673, + -2.6273280580315985, + -2.621575189043945, + -2.5990021620290964, + -2.5600347325895036, + -2.5054100698178403, + -2.43615956084825, + -2.353585054206771, + -2.259229112563008, + -2.1548399864274317, + -2.0423321439114934, + -1.923743294886132, + -1.8011889282534557, + -1.6768154366643684, + -1.5527529325582945, + -1.4310688621970142, + -1.3137235003979162, + -1.2025283585824398, + -1.0991084638254431, + -1.0048693687084234, + -0.9209696333947269, + -0.8482993854070102, + -0.7874654124721683, + -0.7387830832254841, + -0.7022752235020734, + -0.67767790651093, + -0.6644529475554288, + -0.6618067322516098, + -0.6687148553644452, + -0.6839519091424108, + -0.706125638747677, + -0.7337145809917354, + -0.7651082235336849, + -0.7986486668614332, + -0.8326727420303331, + -0.8655535339202245, + -0.8957402826801847, + -0.9217956844019938, + -0.9424296846074871, + -0.9565289529623521, + -0.9631813422994207, + -0.9616947666184332, + -0.9516100778818288, + -0.9327076764702873, + -0.9050077511812203, + -0.8687642075900158, + -0.8244525043494333, + -0.7727517715407546, + -0.7145217296379662, + -0.6507750583893294, + -0.5826459786947272, + -0.5113559045283402, + -0.4381770937918715, + -0.364395274910127, + -0.2912722488275914, + -0.22000946329315318, + -0.15171352803623253, + -0.08736458638950992, + -0.02778838247187368, + 0.02636723483095039, + 0.07465074666344196, + 0.11681984612619464, + 0.15284842104527233, + 0.18292744555864746, + 0.20745974773183504, + 0.22704878059057795, + 0.24248168100464954, + 0.254707050784075, + 0.26480803334521347, + 0.2739713838301559, + 0.2834533374415476, + 0.2945431672507918, + 0.30852538662562645, + 0.32664159104488455, + 0.3500529483741927, + 0.3798043352519496, + 0.41679108031214385, + 0.4617292134225326, + 0.5151300354363996, + 0.577279717219847, + 0.6482245125326961, + 0.7277620297852342, + 0.8154388562321614, + 0.9105546685710061, + 1.0121728001682695, + 1.1191370713379025, + 1.2300945293486465, + 1.343523593152922, + 1.457766958030713, + 1.5710684909603967, + 1.681613241721389, + 1.7875696102020806, + 1.8871326493087397, + 1.97856744684665, + 2.0602515197544222, + 2.1307151704533225, + 2.1886787975078286, + 2.2330862203188695, + 2.263133168599452, + 2.27829019974131, + 2.2783194381658047, + 2.263284677191814, + 2.2335545422881555, + 2.1897985809484846, + 2.1329763147668386, + 2.0643194594306626, + 1.985307684112077, + 1.8976384390534673, + 1.8031915251390547, + 1.7039892083441452, + 1.6021527919691516, + 1.4998566477713375, + 1.3992807713095838, + 1.30256296541124, + 1.2117517676737533, + 1.1287612230000326, + 1.0553285606648921, + 0.9929757683040359, + 0.9429759641172124, + 0.9063253556826779, + 0.8837214418250084, + 0.8755479661641685, + 0.8818669708911, + 0.9024181308548533, + 0.9366253753047863, + 0.9836106318086751, + 1.0422143581649204, + 1.1110223676432174, + 1.1883983045185889, + 1.2725209942050293, + 1.3614257785568147, + 1.4530488548308589, + 1.5452735686024603, + 1.6359775682221593, + 1.723079712189506, + 1.8045856314447575, + 1.8786308857292882, + 1.9435207158749384, + 1.9977654805622518, + 2.0401109745610104, + 2.06956295302573, + 2.085405329891505, + 2.0872116742430724, + 2.074849792857293, + 2.0484793558887455, + 2.008542691721259, + 1.955749042188304, + 1.8910527266192716, + 1.8156258086491652, + 1.7308259898870464, + 1.6381605662121734, + 1.5392473729585405, + 1.4357737123922332, + 1.329454299098036, + 1.2219892752115986, + 1.1150233375446017, + 1.0101069828883513, + 0.9086608171240558, + 0.8119437898109733, + 0.7210261108378355, + 0.6367674822021683, + 0.559801139173419, + 0.49052404452098086, + 0.4290934209559884, + 0.37542964444592697, + 0.329225358704578, + 0.28996051301654296, + 0.2569228755927974, + 0.22923343662676632, + 0.20587599257915673, + 0.18573009902301282, + 0.16760649621945786, + 0.1502840515287889, + 0.1325472272677282, + 0.11322307255899573, + 0.09121675330084372, + 0.06554467518333726, + 0.03536431963222056, + 3.5529391579828295e-16 + ], + [ + 0, + -0.04343083630279722, + -0.09292121138835485, + -0.14843060917915302, + -0.2097003072884646, + -0.276259027223939, + -0.347434606342318, + -0.4223713940782921, + -0.5000529247262722, + -0.5793292801061245, + -0.6589484313303521, + -0.7375907427771321, + -0.8139057359765413, + -0.8865501486325649, + -0.9542262860529456, + -1.0157196498487828, + -1.0699348422611017, + -1.1159287835863427, + -1.152940343976566, + -1.1804155778309675, + -1.1980278569374414, + -1.2056923247998717, + -1.2035742360674535, + -1.1920908981483624, + -1.171907093123627, + -1.143924022955713, + -1.109261985582839, + -1.0692371496759963, + -1.025332947583314, + -0.9791667454704623, + -0.9324525733579818, + -0.8869608025145079, + -0.8444757408111688, + -0.8067521760309728, + -0.7754719311985256, + -0.7522015038154355, + -0.7383518421718781, + -0.7351412670286144, + -0.7435624769501552, + -0.7643544820676739, + -0.7979801962939721, + -0.8446102847673854, + -0.9041137147951768, + -0.9760552984116806, + -1.059700346769185, + -1.154026385045974, + -1.257741705589229, + -1.3693103708075567, + -1.4869831199756598, + -1.6088334894882053, + -1.7327983277701853, + -1.8567217771911984, + -1.9784017086406587, + -2.095637532059347, + -2.206278269754183, + -2.3082697696784886, + -2.3996999533131382, + -2.47884103694441, + -2.5441877349567856, + -2.594490547568284, + -2.628783350968865, + -2.6464046422817997, + -2.647011941892969, + -2.6305890178376243, + -2.5974457671582027, + -2.5482107633117526, + -2.4838166525771417, + -2.4054787517638916, + -2.314667360242161, + -2.2130744474952153, + -2.1025755094501686, + -1.9851874995740175, + -1.8630238314113496, + -1.738247515710028, + -1.6130235359502831, + -1.4894715800135157, + -1.3696202326086675, + -1.2553636932898646, + -1.1484220194745387, + -1.0503058044620288, + -0.9622860892981616, + -0.8853701772037121, + -0.8202838734161736, + -0.7674605152990939, + -0.7270369913573843, + -0.6988567774606407, + -0.6824798483139188, + -0.6771991562099287, + -0.6820632114180389, + -0.6959041530693092, + -0.7173705696290664, + -0.7449642171588836, + -0.7770796942335669, + -0.8120460667317558, + -0.8481693953051541, + -0.8837751040659525, + -0.9172491411791432, + -0.9470769202134011, + -0.9718790942533184, + -0.9904433012498969, + -1.0017511266516408, + -1.0049996552613545, + -0.999617125298416, + -0.985272350237404, + -0.9618777342844668, + -0.929585871301582, + -0.8887798804710375, + -0.8400577909029372, + -0.7842114377439394, + -0.7222004703839007, + -0.655122195631681, + -0.5841780821959134, + -0.5106378348915079, + -0.4358020056689184, + -0.36096414239215396, + -0.28737348446079847, + -0.2161991967147167, + -0.14849709006088566, + -0.0851797100408456, + -0.026990584843986445, + 0.02551668563892458, + 0.07199394543347351, + 0.11230818994388107, + 0.14654520445535277, + 0.17500703159391406, + 0.19820332705294777, + 0.2168368228598399, + 0.23178327193015677, + 0.24406639271489644, + 0.2548284646980921, + 0.2652973409848685, + 0.27675074028371677, + 0.29047875476762264, + 0.3077455606815748, + 0.32975134383062776, + 0.3575954515453569, + 0.39224175634041575, + 0.4344871648670052, + 0.4849341301565161, + 0.543967927409904, + 0.6117393361140935, + 0.6881532369707737, + 0.7728634843393389, + 0.8652742573040346, + 0.9645479290079233, + 1.0696193286407416, + 1.1792161075648346, + 1.2918847646037601, + 1.40602173944113, + 1.519908851070729, + 1.6317522436488234, + 1.7397239078450424, + 1.8420047742886299, + 1.9368283288208294, + 2.022523678242466, + 2.0975570006993305, + 2.160570346732124, + 2.210416814630725, + 2.2461912057350424, + 2.2672553697683897, + 2.2732575746671557, + 2.2641453766765625, + 2.240171621285975, + 2.201893370107253, + 2.150163719037489, + 2.086116644825864, + 2.011145186269895, + 1.926873428544898, + 1.8351229106273252, + 1.7378742126746456, + 1.6372245991886845, + 1.5353426918703412, + 1.4344212208343878, + 1.336628952425259, + 1.2440629150081146, + 1.1587020401983115, + 1.0823633060966174, + 1.0166614119358546, + 0.9629729314823439, + 0.922405787547479, + 0.895774764589013, + 0.8835836336565087, + 0.8860143073251052, + 0.9029232755709903, + 0.9338454008224953, + 0.9780049758720485, + 1.034333776199623, + 1.1014956727211647, + 1.1779172160559959, + 1.2618234628637597, + 1.3512781920379588, + 1.444227556526251, + 1.5385461377328526, + 1.632084315730797, + 1.7227158411398094, + 1.8083844941304508, + 1.887148742554885, + 1.9572233639782641, + 2.017017074046754, + 2.0651653042256473, + 2.100557392959704, + 2.1223575927365568, + 2.130019447938843, + 2.123293260979492, + 2.102226533012394, + 2.0671574363367418, + 2.0187015442663463, + 1.9577322065755014, + 1.8853551106857336, + 1.802877706810794, + 1.7117742959722335, + 1.6136476802136177, + 1.510188352064568, + 1.4031322534912878, + 1.2942181619840873, + 1.1851457624841697, + 1.077535438605599, + 0.9728907657815102, + 0.8725646139081532, + 0.777729669727973, + 0.6893540720849411, + 0.6081827192912905, + 0.5347246605656637, + 0.46924682656629796, + 0.41177419141081684, + 0.36209629434232177, + 0.3197798874976105, + 0.2841873211143637, + 0.25450013286483597, + 0.22974717743968065, + 0.2088365192835867, + 0.19059021832112552, + 0.17378106791311007, + 0.15717029789002238, + 0.13954523444868608, + 0.11975591346211852, + 0.09674967418129667, + 0.06960281559674988, + 0.03754847644786938, + 3.767851968994969e-16 + ], + [ + 0, + -0.04587321033816182, + -0.09785720871197155, + -0.1557985245933822, + -0.21932650038156043, + -0.28786237001574416, + -0.3606342472363573, + -0.43669763646758714, + -0.5149609341555476, + -0.5942152567288679, + -0.6731678165080099, + -0.7504779718090767, + -0.8247950046053345, + -0.8947966303063215, + -0.9592272207672952, + -1.01693472419121, + -1.0669052941185864, + -1.1082946935512492, + -1.1404556181203258, + -1.1629601821781437, + -1.1756169313004843, + -1.178481880965719, + -1.1718632307426966, + -1.156319562442531, + -1.1326514953964981, + -1.1018869381913392, + -1.065260239657179, + -1.024185698554142, + -0.9802260372945291, + -0.9350565764815423, + -0.8904259607083531, + -0.8481143790442003, + -0.8098902935471428, + -0.7774667341647682, + -0.7524582373088591, + -0.7363394976570771, + -0.7304067684454549, + -0.7357429854296029, + -0.753187505211948, + -0.7833112417662703, + -0.8263978583075293, + -0.882431528218547, + -0.9510916220405471, + -1.0317545113817905, + -1.1235025090587398, + -1.225139792059282, + -1.3352149842467718, + -1.4520499132787443, + -1.573773904996157, + -1.6983628422795118, + -1.8236820974365349, + -1.9475323505064672, + -2.0676972328440266, + -2.1819916878100893, + -2.288309919550547, + -2.3846718072407262, + -2.469266695693577, + -2.5404935330936866, + -2.5969964113979356, + -2.6376946725973567, + -2.661806871962451, + -2.6688680344961844, + -2.658739799574783, + -2.6316132173096682, + -2.588004134418217, + -2.528741283110149, + -2.4549473594086404, + -2.3680135432285176, + -2.269568067399083, + -2.161439582888625, + -2.0456161893690283, + -1.9242011010059386, + -1.7993659945477836, + -1.6733031385685968, + -1.5481774278731681, + -1.4260794450303562, + -1.3089806418602052, + -1.1986916782271737, + -1.096824875092759, + -1.0047616354756435, + -0.9236255633325288, + -0.8542618694818573, + -0.7972234990367022, + -0.7527642502162409, + -0.7208389839290245, + -0.7011108513636028, + -0.692965297214615, + -0.6955304332748393, + -0.707703224921548, + -0.7281807952318023, + -0.7554960314250739, + -0.7880565789554039, + -0.824186232244287, + -0.8621676795686954, + -0.9002855341856092, + -0.9368685849256932, + -0.9703302271048618, + -0.9992060879061749, + -1.022187937962841, + -1.0381530807120414, + -1.0461885306256409, + -1.045609427609429, + -1.0359712842405762, + -1.0170758213055062, + -0.9889703113017569, + -0.9519405150453757, + -0.9064974591238185, + -0.8533584575770651, + -0.7934229259821088, + -0.7277436664422173, + -0.6574944145951191, + -0.5839345318556024, + -0.508371795418899, + -0.43212428336811154, + -0.3564823714655881, + -0.2826718514226147, + -0.21181914784695233, + -0.14491955352514674, + -0.08280932169516533, + -0.02614235158273242, + 0.024627917673096803, + 0.06926092640646553, + 0.10773539785060003, + 0.14024955376832898, + 0.16721513230460097, + 0.1892453602350255, + 0.20713719012808898, + 0.22184826344671904, + 0.23446919946069103, + 0.2461919334902657, + 0.25827493329942475, + 0.27200620670998776, + 0.28866507454936324, + 0.30948371929054286, + 0.3356095302313965, + 0.3680692504766614, + 0.407735889670696, + 0.45529930037008665, + 0.5112412267539264, + 0.5758155242407821, + 0.6490341202393783, + 0.7306591428909216, + 0.8202014898334388, + 0.9169259465953687, + 1.0198627982674764, + 1.1278257127664792, + 1.239435513441094, + 1.3531493070213643, + 1.4672942938044131, + 1.5801054640253174, + 1.689766280707352, + 1.7944513675740392, + 1.8923701629485614, + 1.9818104684825841, + 2.0611808159323477, + 2.129050596265543, + 2.1841869427066016, + 2.2255874318258266, + 2.2525077627393117, + 2.264483691615503, + 2.2613466341560073, + 2.243232499248041, + 2.210583478910235, + 2.1641426890192235, + 2.1049417279675757, + 2.0342813921303993, + 1.9537059535895251, + 1.8649715628821302, + 1.7700094837257905, + 1.6708849941637343, + 1.5697528962149725, + 1.4688106612314458, + 1.370250298634711, + 1.2762100700062202, + 1.18872717775851, + 1.1096925376002706, + 1.040808697178297, + 0.9835518907408445, + 0.9391391231601292, + 0.9085010585039089, + 0.892261351416355, + 0.8907229071770685, + 0.903861392154061, + 0.9313261444403227, + 0.9724484589434487, + 1.0262570463508736, + 1.091500295469436, + 1.1666748075656566, + 1.250059523417601, + 1.3397546324166683, + 1.4337243414068614, + 1.5298424917143052, + 1.6259399481431804, + 1.7198526451349407, + 1.8094691637035512, + 1.8927767284060546, + 1.9679045560514565, + 2.0331635560032786, + 2.0870814740723875, + 2.128432685822451, + 2.156261977786163, + 2.1699018033239175, + 2.168982659978952, + 2.1534364032386937, + 2.1234924834591054, + 2.0796672641188887, + 2.022746746335054, + 1.9537631826053437, + 1.8739662081849289, + 1.7847892478130432, + 1.6878120655439457, + 1.5847204135542652, + 1.4772637998913758, + 1.3672124336917797, + 1.2563144185661042, + 1.1462542504079702, + 1.0386136352870985, + 0.9348355774312148, + 0.8361925983057412, + 0.7437598377608236, + 0.6583936599461608, + 0.5807162434584395, + 0.5111064806125966, + 0.4496973487205771, + 0.3963797509014696, + 0.35081265939215955, + 0.31243923470691964, + 0.2805084433054513, + 0.2541015584388925, + 0.23216280699454606, + 0.21353332248449075, + 0.19698748336728944, + 0.1812706586532197, + 0.16513735062092777, + 0.14738871823365982, + 0.126908484601079, + 0.10269627704915678, + 0.07389751785669987, + 0.03982907570372562, + 3.9895443921830614e-16 + ], + [ + 0, + -0.048344376921091774, + -0.10279754639776688, + -0.16309262514499542, + -0.22874848353353594, + -0.29908221953880004, + -0.3732273768179477, + -0.4501574325236587, + -0.5287139417728706, + -0.6076386025568852, + -0.6856084004459065, + -0.7612729093775858, + -0.8332927652607722, + -0.9003782946177143, + -0.9613272719467286, + -1.0150607971767116, + -1.0606563281091523, + -1.0973769710565804, + -1.1246962243181653, + -1.1423174814294987, + -1.1501877315028435, + -1.1485050391960792, + -1.1377195432947722, + -1.118527876655673, + -1.0918610772439021, + -1.058866226013811, + -1.0208822082639708, + -0.9794101467889517, + -0.9360791938238808, + -0.8926084909186791, + -0.8507662083782305, + -0.8123266561362767, + -0.779026513817108, + -0.7525212578038449, + -0.734342866538526, + -0.7258598618504413, + -0.7282406943355437, + -0.7424214058357355, + -0.7690784036650578, + -0.8086070617571907, + -0.8611067262492673, + -0.9263725505111221, + -1.0038944209913216, + -1.0928630644789583, + -1.1921832536548969, + -1.3004938553906473, + -1.416194299385784, + -1.5374768875254456, + -1.6623642206668272, + -1.7887508929800238, + -1.9144484976115406, + -2.0372329039535457, + -2.1548927082748555, + -2.2652777273776104, + -2.3663464001157273, + -2.456210984208937, + -2.533179485298081, + -2.5957933304417713, + -2.642859897447755, + -2.6734791321727456, + -2.68706362529143, + -2.6833516746499355, + -2.662413025428582, + -2.624647153907231, + -2.5707741374355764, + -2.501818328961875, + -2.4190852248951806, + -2.324132076027191, + -2.218732938813397, + -2.1048389949302537, + -1.9845350775252313, + -1.8599934302923073, + -1.7334257883309163, + -1.6070349061859868, + -1.482966667673547, + -1.3632638938917114, + -1.249822920693707, + -1.1443539460116128, + -1.0483460525490502, + -0.9630376948788208, + -0.8893933047826885, + -0.8280865181075814, + -0.7794903642081789, + -0.7436745892033021, + -0.7204101109763132, + -0.7091804313579827, + -0.7091996634763049, + -0.7194366739406796, + -0.7386446942129484, + -0.7653956267410368, + -0.7981181623121507, + -0.8351387382485532, + -0.8747243045897084, + -0.915125828742159, + -0.9546214590523651, + -0.9915582845245535, + -1.0243916709578278, + -1.0517212219542567, + -1.0723225047714708, + -1.0851737935014487, + -1.08947721267689, + -1.084673809818406, + -1.0704522419584082, + -1.0467509248610967, + -1.0137536603811372, + -0.9718789229784096, + -0.9217631466809209, + -0.8642385047519171, + -0.8003058121997697, + -0.7311033026342019, + -0.6578721328034739, + -0.5819195479224425, + -0.5045806966564199, + -0.42718011500186687, + -0.3509939025825991, + -0.277213592996756, + -0.20691267240046388, + -0.1410166287364008, + -0.08027731975825338, + -0.025252333678365217, + 0.023710115207355834, + 0.06648035883851429, + 0.10315027395834728, + 0.13403002678058387, + 0.15963864720807258, + 0.18068867756406645, + 0.19806529610760717, + 0.21280046077099615, + 0.22604274988734824, + 0.2390236908238929, + 0.2530214614870833, + 0.2693229212077822, + 0.28918497470273813, + 0.313796294407489, + 0.3442404218936914, + 0.3814612383868185, + 0.42623173831108657, + 0.4791269596697649, + 0.5405018228891534, + 0.6104745080388779, + 0.68891586211022, + 0.7754451767280026, + 0.8694325160642645, + 0.9700076088282845, + 1.0760751511822697, + 1.1863362034670895, + 1.2993152068416844, + 1.4133920002961833, + 1.5268380876763805, + 1.6378562916774067, + 1.7446228401040837, + 1.845330861413966, + 1.9382342234388217, + 2.0216906323816826, + 2.094202919218002, + 2.154457477333774, + 2.201358877791294, + 2.2340597755607816, + 2.2519853293231926, + 2.2548514864069507, + 2.242676629947656, + 2.21578624391649, + 2.1748104193825233, + 2.1206741981536936, + 2.054580923546266, + 1.9779889381989086, + 1.8925821313880244, + 1.8002349892095775, + 1.702972936541292, + 1.6029288765335312, + 1.502296928596009, + 1.4032844370781918, + 1.3080633682965674, + 1.2187222320846027, + 1.137219655135463, + 1.065340697247566, + 1.0046569390141729, + 0.956491282011587, + 0.9218882922409974, + 0.9015907871306523, + 0.8960232189672631, + 0.9052822467752345, + 0.9291347183058688, + 0.9670231080759694, + 1.0180782805778381, + 1.0811392741689752, + 1.1547796349588895, + 1.2373396752789274, + 1.3269638918033586, + 1.4216426574663004, + 1.5192572019121497, + 1.6176268197213324, + 1.7145571958744161, + 1.8078887150307252, + 1.895543625717019, + 1.9755709622900415, + 2.046188185727243, + 2.105818587440932, + 2.15312360631873, + 2.187029335426891, + 2.206746638138815, + 2.2117844503205877, + 2.2019560117436425, + 2.177377941995309, + 2.1384622495865537, + 2.085901533452819, + 2.020647799430202, + 1.9438854665705927, + 1.8569992756237337, + 1.761537931323511, + 1.6591744083875506, + 1.5516639260182459, + 1.4408006454078712, + 1.3283741681567849, + 1.2161269101216543, + 1.1057133951970548, + 0.9986624577348311, + 0.8963432621964792, + 0.799935946290726, + 0.710407571896161, + 0.6284939296137602, + 0.554687591348143, + 0.4892324447069839, + 0.43212477728325116, + 0.38312081221263566, + 0.34175043296164836, + 0.30733667919426294, + 0.279020450689535, + 0.25578972625398966, + 0.2365124926271171, + 0.21997248729369392, + 0.20490679114306307, + 0.1900442637197316, + 0.17414379643385255, + 0.15603136793669456, + 0.13463492064785323, + 0.1090161372284474, + 0.07839827907974505, + 0.04218935357197897, + 4.216340856778974e-16 + ], + [ + 0, + -0.05082487193504389, + -0.10770263807634396, + -0.17025357981845007, + -0.23788859171717486, + -0.30982498604172537, + -0.3851078233642302, + -0.46263621044695163, + -0.5411938757476997, + -0.6194832194597802, + -0.6961619420294552, + -0.7698812849338578, + -0.8393248719653897, + -0.9032471195463154, + -0.960510191232334, + -1.0101185044365262, + -1.0512498557351555, + -1.0832823134830112, + -1.105816130840811, + -1.1186900561168969, + -1.1219915574744623, + -1.1160606320624107, + -1.101487031672562, + -1.0791009040543622, + -1.0499570168437986, + -1.01531289547098, + -0.9766013632623528, + -0.9353981172911079, + -0.8933851036737954, + -0.8523105676552035, + -0.8139467441137147, + -0.7800462207283598, + -0.7522980472341286, + -0.7322846788399314, + -0.7214408295383655, + -0.7210152719115794, + -0.732036555013243, + -0.7552835225070611, + -0.7912614016001537, + -0.8401841021133859, + -0.9019632174591331, + -0.9762040589407803, + -1.0622088855621674, + -1.1589873175810104, + -1.2652737476252025, + -1.3795513926016172, + -1.5000824670641897, + -1.6249438081822447, + -1.7520671476823058, + -1.8792831104666106, + -2.0043679259141016, + -2.125091768484359, + -2.2392676009163544, + -2.3447993771499687, + -2.4397284735405016, + -2.5222772557500317, + -2.590888753977767, + -2.644261509377996, + -2.6813787674406706, + -2.7015313270490076, + -2.704333503661813, + -2.68973182796361, + -2.658006273427761, + -2.6097639833643984, + -2.5459256458708555, + -2.4677048393438246, + -2.3765808376153243, + -2.274265518296313, + -2.162665156803207, + -2.043838008437178, + -1.919948678886245, + -1.793220357263943, + -1.665886033521943, + -1.5401398426506017, + -1.4180896710516608, + -1.3017121260484856, + -1.192810908579421, + -1.0929795432370746, + -1.003569311117107, + -0.9256631021300493, + -0.8600557577016398, + -0.8072413157465068, + -0.7674074013715796, + -0.7404368330987965, + -0.7259163397620172, + -0.7231521119162831, + -0.7311917477945925, + -0.7488520015599898, + -0.7747516045384173, + -0.8073483116061508, + -0.8449792278048828, + -0.8859033968922086, + -0.9283455856376842, + -0.9705401763424851, + -1.0107740857314873, + -1.0474276608066266, + -1.079012560563361, + -1.10420571512014, + -1.1218785586559166, + -1.131120856907042, + -1.1312585906772772, + -1.1218655102978243, + -1.102768138361885, + -1.0740441652607728, + -1.0360143498637717, + -0.9892282019040646, + -0.9344438791473183, + -0.8726028773186947, + -0.8048002204362887, + -0.7322509704203577, + -0.6562539648621707, + -0.578153758423993, + -0.49930178487386817, + -0.42101777223831693, + -0.3445524326410147, + -0.271052411408202, + -0.2015284179393367, + -0.13682737527175895, + -0.07760931840827454, + -0.024329646057877102, + 0.022772810340654846, + 0.06368158900239348, + 0.0986021207389807, + 0.12795498589995635, + 0.15236308269428944, + 0.17263304370716073, + 0.189731388302032, + 0.20475603707934756, + 0.21890393712654235, + 0.23343565031433222, + 0.24963783872436665, + 0.2687846393304249, + 0.2920989527940523, + 0.32071467780594404, + 0.3556409025942357, + 0.3977290194815668, + 0.44764365780833854, + 0.505838236879769, + 0.5725358261520923, + 0.6477158674867888, + 0.7311071672650493, + 0.8221874081348781, + 0.920189265109636, + 1.0241130427826564, + 1.1327455837817872, + 1.2446850374501357, + 1.358370926165694, + 1.4721188085331463, + 1.584158717400642, + 1.6926764493623674, + 1.7958567037030817, + 1.8919270146648166, + 1.9792013929013157, + 2.0561225908198733, + 2.121301932314508, + 2.1735556996204637, + 2.211937147462354, + 2.235763315492257, + 2.244635931802416, + 2.2384558401067993, + 2.217430537621603, + 2.182074575972434, + 2.13320274957489, + 2.0719161706575218, + 1.9995815031321578, + 1.917803794608986, + 1.8283935028841605, + 1.733328456318828, + 1.6347116131380417, + 1.5347255896902245, + 1.4355850095062732, + 1.3394877815342585, + 1.2485664457702033, + 1.1648407268797323, + 1.090172411206902, + 1.026223610366376, + 0.9744193966499852, + 0.9359156936154872, + 0.9115731819200134, + 0.9019378386950353, + 0.9072285719697158, + 0.9273322436406278, + 0.9618061993393922, + 1.009888245522529, + 1.0705138375275736, + 1.142340071498484, + 1.2237759121326062, + 1.3130179410489105, + 1.4080907807916774, + 1.5068912402071029, + 1.6072351407999372, + 1.7069057227630098, + 1.80370249512365, + 1.895489387663093, + 1.9802410830594852, + 2.056086455527678, + 2.121348115862228, + 2.1745771603866673, + 2.2145823404377434, + 2.240453006710124, + 2.2515753356448847, + 2.247641509287421, + 2.228651691617524, + 2.1949088190429755, + 2.147006396257108, + 2.08580965673597, + 2.012430605680874, + 1.9281976083293069, + 1.8346203147332154, + 1.7333508202361418, + 1.6261420463689447, + 1.5148043876937005, + 1.401161704837051, + 1.2870077517985414, + 1.1740641064934145, + 1.0639406279606292, + 0.9580993929561025, + 0.8578229706020404, + 0.764187778795607, + 0.678043133128785, + 0.5999964515115688, + 0.5304049192554717, + 0.4693737540591103, + 0.4167610423010534, + 0.37218895150548564, + 0.33506096297587484, + 0.30458461741315657, + 0.2797991286203426, + 0.2596070995734771, + 0.24280947420881802, + 0.22814277973365754, + 0.2143176600436247, + 0.20005767223972237, + 0.18413731595511862, + 0.16541828923471225, + 0.14288301440776643, + 0.11566455145898434, + 0.08307211292779616, + 0.04461151087734342, + 4.446490257965823e-16 + ], + [ + 0, + -0.053294846070557046, + -0.11253263590053943, + -0.17722243496677328, + -0.24667067906534323, + -0.3200002133370844, + -0.3961745880282651, + -0.4740269717272567, + -0.5522929208747923, + -0.6296461417864726, + -0.7047363008732069, + -0.7762278822673765, + -0.8428390611240805, + -0.9033795562905182, + -0.9567864479822134, + -1.002156994064985, + -1.0387775513538378, + -1.0661478042151857, + -1.0839996193257921, + -1.0923099798054818, + -1.0913076007546414, + -1.0814729877766684, + -1.063531866358923, + -1.038442078855845, + -1.0073742130244314, + -0.9716863873982844, + -0.9328937701828717, + -0.892633545982845, + -0.8526261650387913, + -0.8146338096860893, + -0.7804170898831324, + -0.7516910318859971, + -0.7300814500835253, + -0.7170827909138809, + -0.7140185095951936, + -0.7220049857259547, + -0.7419199039125383, + -0.7743759223569342, + -0.8197003282661826, + -0.8779212370266531, + -0.9487607357705611, + -1.0316352050618864, + -1.1256628790271699, + -1.2296785286053424, + -1.3422549790060982, + -1.461731005221934, + -1.5862449926603122, + -1.7137736075245054, + -1.8421745970032892, + -1.9692327357255583, + -2.092707854880104, + -2.2103838359024244, + -2.3201174230729986, + -2.4198857094792454, + -2.507831178611832, + -2.5823032387609457, + -2.6418952680504026, + -2.685476292464723, + -2.7122165450680886, + -2.7216062987415053, + -2.713467523683108, + -2.68795809076954, + -2.645568418538279, + -2.587110640727854, + -2.5137005486495623, + -2.426732733849635, + -2.327849517395085, + -2.2189043987728154, + -2.1019208862730694, + -1.9790476787135176, + -1.8525112528426626, + -1.7245669697095793, + -1.5974498452987007, + -1.473326135060518, + -1.354246858558432, + -1.2421043399151088, + -1.1385927633590334, + -1.0451736428571636, + -0.9630469830691655, + -0.8931287686937607, + -0.8360352641645084, + -0.7920744394207355, + -0.7612446642243829, + -0.7432406374764672, + -0.7374663435287871, + -0.7430546588615077, + -0.7588930738276058, + -0.783654849319026, + -0.8158348007058479, + -0.853788794322406, + -0.8957759576952141, + -0.9400025456248543, + -0.984666371522817, + -1.028000707783881, + -1.0683165804916301, + -1.1040424317823179, + -1.133760196448324, + -1.1562369359400684, + -1.17045129034348, + -1.175614144174645, + -1.1711830515126216, + -1.1568701263027588, + -1.132643270566167, + -1.0987207825512337, + -1.0555595543129825, + -1.003837229614596, + -0.9444288443794644, + -0.8783786094093534, + -0.8068676153052792, + -0.7311783395017427, + -0.6526569125838877, + -0.5726741537062259, + -0.4925864116964288, + -0.41369724868587443, + -0.3372209769039334, + -0.26424900731452744, + -0.19571989241704005, + -0.132393846747184, + -0.07483240992794245, + -0.0233837815658374, + 0.02182579168376933, + 0.06089435515793653, + 0.0941402538068797, + 0.12209191649232232, + 0.14547168790945506, + 0.1651741350135248, + 0.18223939989256382, + 0.1978223015250419, + 0.21315800147222394, + 0.22952514040565195, + 0.24820742110764746, + 0.27045465743467134, + 0.2974443265526399, + 0.33024465304702555, + 0.36978021845299053, + 0.4168010291795215, + 0.471855891196802, + 0.5352708333045121, + 0.6071331949419118, + 0.6872818524685759, + 0.7753039031795831, + 0.8705379628857738, + 0.9720840647803619, + 1.078819978744836, + 1.1894236054565284, + 1.3024009427985312, + 1.4161189771010474, + 1.5288427223341183, + 1.638775519817265, + 1.7441016221399188, + 1.8430300200917522, + 1.9338384321858346, + 2.0149163638856264, + 2.0848061583221082, + 2.1422410018382574, + 2.1861789151848265, + 2.215831853028074, + 2.2306891484225235, + 2.2305346723025776, + 2.2154572276204734, + 2.1858538598625215, + 2.1424259363505187, + 2.0861680218006207, + 2.018349752769749, + 1.940491084562439, + 1.8543314466856613, + 1.7617934930128873, + 1.6649422667387634, + 1.5659407146490252, + 1.467002577349741, + 1.3703437495906916, + 1.2781332459787658, + 1.19244492115139, + 1.1152110794804195, + 1.04817906790001, + 0.9928718774659527, + 0.9505536863808258, + 0.9222011616902567, + 0.9084812014604983, + 0.9097356472639403, + 0.9259733319129326, + 0.9568696535970167, + 1.0017736891169393, + 1.0597226801085715, + 1.1294635513578115, + 1.2094809537721336, + 1.298031170341217, + 1.39318108523171, + 1.4928512973689638, + 1.5948623633344878, + 1.696983082477564, + 1.7969796915256695, + 1.892664817756633, + 1.9819450493701858, + 2.062866018790217, + 2.133653958290343, + 2.192752775961582, + 2.238855811421029, + 2.2709315620260124, + 2.2882428184563777, + 2.2903588096981666, + 2.27716012773076, + 2.2488363773951865, + 2.20587667269923, + 2.149053272884506, + 2.079398815730314, + 1.9981777577916051, + 1.9068527678584024, + 1.80704693757027, + 1.700502768985287, + 1.5890389706962178, + 1.474506140115706, + 1.3587424287666106, + 1.2435302794296896, + 1.1305552891089359, + 1.0213681909334618, + 0.9173508629230541, + 0.8196871642031687, + 0.7293392725107716, + 0.6470300539080552, + 0.5732318401348366, + 0.5081618249064512, + 0.4517841218325655, + 0.40381835772774866, + 0.3637545101393728, + 0.33087354105745226, + 0.30427323390911154, + 0.2828985116847357, + 0.26557540360348314, + 0.25104773883571957, + 0.23801558064721687, + 0.22517437450413436, + 0.21125377013022686, + 0.19505509052845796, + 0.1754864601906527, + 0.15159466908517938, + 0.12259293686679137, + 0.08788385083802187, + 0.04707687871893102, + 4.678182516238676e-16 + ], + [ + 0, + -0.055734257050528015, + -0.11724782139805347, + -0.18394119994047797, + -0.2550208852029298, + -0.32952150188516877, + -0.4063328914946498, + -0.48423141989954255, + -0.5619146808678058, + -0.6380386779759757, + -0.7112564999965387, + -0.7802574627393721, + -0.8438056744326641, + -0.900776992524103, + -0.9501933770347123, + -0.991253708410246, + -1.0233602246491291, + -1.0461398411959222, + -1.0594597449766443, + -1.06343679783243, + -1.0584404408894759, + -1.04508895617724, + -1.0242391109444215, + -0.9969693793773295, + -0.9645571015405109, + -0.9284500961729169, + -0.8902333885211924, + -0.8515918430104745, + -0.8142695999675078, + -0.780027303018925, + -0.7505981669297046, + -0.7276439728637415, + -0.7127120883228971, + -0.7071945920039241, + -0.7122905398338406, + -0.7289723385036839, + -0.7579570985659004, + -0.7996837228464788, + -0.8542963503563694, + -0.921634624358077, + -1.001231089445537, + -1.0923158504329546, + -1.1938284497387495, + -1.3044367441201652, + -1.4225623903906457, + -1.5464123873586144, + -1.6740159716759546, + -1.8032660322813732, + -1.9319640949708676, + -2.0578678381447877, + -2.1787400352351067, + -2.2923977803649542, + -2.396760842440728, + -2.4898980094551195, + -2.5700703289309157, + -2.635770221127899, + -2.68575553718337, + -2.7190777524649237, + -2.73510362323113, + -2.7335297888859125, + -2.7143899689366684, + -2.6780545791743, + -2.6252227713234015, + -2.5569070800939793, + -2.4744110368339007, + -2.379300275573411, + -2.2733678111218767, + -2.158594306286751, + -2.037104262904832, + -1.9111191663597404, + -1.7829086833186647, + -1.6547410558765097, + -1.5288338511226118, + -1.4073062129958276, + -1.292133723506667, + -1.185106913995454, + -1.0877943757295736, + -1.0015113050979676, + -0.9272941847660167, + -0.8658821517227727, + -0.8177054398978857, + -0.782881112971014, + -0.7612161263736206, + -0.75221758062877, + -0.7551098554234204, + -0.7688581493845842, + -0.7921977984471741, + -0.8236686096564468, + -0.8616533305372335, + -0.9044192795970822, + -0.9501620933691267, + -0.9970505012929082, + -1.043271022679291, + -1.0870714903386445, + -1.1268023428204084, + -1.1609546905976207, + -1.1881942492704716, + -1.2073903426948072, + -1.217639308058357, + -1.218281780048964, + -1.208913488714315, + -1.1893893714315567, + -1.159820969417536, + -1.1205672491510492, + -1.0722191546918645, + -1.01557835402984, + -0.9516307873621969, + -0.8815157539771098, + -0.8064913840226561, + -0.7278974291533634, + -0.6471163697169218, + -0.5655338742221191, + -0.48449965841123555, + -0.40528977610829414, + -0.3290713325624214, + -0.256870544347685, + -0.18954497974406845, + -0.12776070222443903, + -0.07197491005599826, + -0.02242452039689152, + 0.02087900968938332, + 0.058148496202599924, + 0.08981351259864742, + 0.11650674857612162, + 0.1390446065399292, + 0.1584025500529687, + 0.17568585649101962, + 0.19209654738826396, + 0.20889737151116278, + 0.22737379493181314, + 0.24879500725422776, + 0.2743749822558262, + 0.30523463376734294, + 0.3423660835204939, + 0.38660000750800017, + 0.43857695234616134, + 0.4987234150542284, + 0.5672333609969553, + 0.6440557184279047, + 0.728888237519537, + 0.8211779407340173, + 0.9201282239073892, + 1.024712497689857, + 1.133694091271458, + 1.245651978848269, + 1.3590117381249065, + 1.4720810131302944, + 1.5830886342258077, + 1.6902264494564558, + 1.7916928458750327, + 1.885736889122033, + 1.9707019857132366, + 2.045067975857433, + 2.1074905952087364, + 2.1568373010844795, + 2.1922185410229456, + 2.2130136471581303, + 2.2188906662124626, + 2.209819578895241, + 2.1860785206417344, + 2.1482527840749226, + 2.097226558194967, + 2.034167535815843, + 1.9605046948329592, + 1.8778997262321582, + 1.7882127382076818, + 1.6934630074739834, + 1.5957856723198167, + 1.4973853640907602, + 1.4004878520480823, + 1.3072908289684195, + 1.2199149900850457, + 1.1403565553576898, + 1.0704423546064306, + 1.011788537453669, + 0.9657638866484284, + 0.9334586061969624, + 0.9156593273732908, + 0.9128309292363631, + 0.9251056092851262, + 0.9522794682454522, + 0.9938166948726875, + 1.0488612563992552, + 1.1162558222402392, + 1.1945674771190895, + 1.2821196190573, + 1.3770292915896023, + 1.4772490716642903, + 1.5806125280647219, + 1.6848821824182971, + 1.7877988479330804, + 1.8871311912759052, + 1.9807243611672223, + 2.0665465533219307, + 2.142732434633029, + 2.207622428631286, + 2.259796967280763, + 2.29810493852665, + 2.3216857016168304, + 2.329984199548158, + 2.3227588661619745, + 2.300082200290983, + 2.262334056643399, + 2.210187878451119, + 2.1445902660137355, + 2.0667344340083127, + 1.9780282549390513, + 1.8800577128628324, + 1.7745466974835116, + 1.6633141513171046, + 1.5482296399314714, + 1.4311684459282643, + 1.3139672906936044, + 1.1983817640078585, + 1.0860464910596184, + 0.9784389906002339, + 0.8768480788712563, + 0.7823475540810184, + 0.6957757586514021, + 0.617721464688261, + 0.5485163659811356, + 0.4882342913930278, + 0.4366970839899772, + 0.393486921956499, + 0.3579646954564496, + 0.32929390217049714, + 0.3064693870425601, + 0.28835013220678535, + 0.2736952041045069, + 0.2612018888765951, + 0.24954499608842265, + 0.23741628594286826, + 0.2235629769342072, + 0.2068243192938917, + 0.18616527381163236, + 0.16070641426653684, + 0.12974927274564263, + 0.09279646797166102, + 0.04956609432271983, + 4.909565874815401e-16 + ], + [ + 0, + -0.0581230653712635, + -0.12180899817176649, + -0.19035342767092991, + -0.262868384560535, + -0.3383073981366598, + -0.4154951659253733, + -0.4931610100415807, + -0.5699752340758651, + -0.644587416432478, + -0.7156656227909461, + -0.7819354931133775, + -0.8422181580949477, + -0.8954659662094685, + -0.9407950549144855, + -0.9775138768711408, + -1.0051468922957676, + -1.0234527593052167, + -1.032436492340255, + -1.032355211001156, + -1.0237172640990844, + -1.0072746823453032, + -0.9840090836351781, + -0.9551113230471158, + -0.9219553412305942, + -0.8860668157221742, + -0.849087356082349, + -0.8127351021231254, + -0.778762681871289, + -0.748913559778644, + -0.7248778541220492, + -0.70824872423674, + -0.7004804225631834, + -0.7028490735072374, + -0.7164171815423354, + -0.7420027862096624, + -0.7801540737164245, + -0.8311301262914936, + -0.8948883444467967, + -0.9710789173664699, + -1.0590465467111774, + -1.157839453345309, + -1.2662255191868461, + -1.382715241906704, + -1.5055910128687329, + -1.6329420726378068, + -1.7627043574559262, + -1.892704327793694, + -2.0207057694724617, + -2.144458481438286, + -2.2617477139782918, + -2.370443198290136, + -2.468546613460348, + -2.5542363700052615, + -2.6259086494197104, + -2.682213725236697, + -2.722086700865109, + -2.744771930298504, + -2.7498405365136076, + -2.737200605399465, + -2.7070998064214735, + -2.660120370718132, + -2.5971665385897382, + -2.5194447669606914, + -2.428437159037495, + -2.3258687388709802, + -2.213669338964985, + -2.0939309959249552, + -1.9688618543357905, + -1.8407376600556602, + -1.7118519789644375, + -1.5844663046036722, + -1.4607612174573334, + -1.342789729903065, + -1.232433894854588, + -1.1313656742268554, + -1.0410129576288525, + -0.9625314947497214, + -0.8967833598925463, + -0.8443224076079855, + -0.80538700831653, + -0.7799001763677738, + -0.7674770245003152, + -0.7674393025125242, + -0.7788366084424755, + -0.800473701822972, + -0.8309432044892293, + -0.8686628484679957, + -0.9119163257082216, + -0.9588967133363805, + -1.0077513926547506, + -1.0566273515317415, + -1.1037157587748243, + -1.1472947254614214, + -1.1857692212844062, + -1.2177071923390839, + -1.2418710284068342, + -1.2572436500721644, + -1.2630486258336404, + -1.258763883194046, + -1.2441287416600153, + -1.219144165521559, + -1.184066305952018, + -1.139393571070128, + -1.085847624911424, + -1.0243488677189163, + -0.9559870868135931, + -0.8819880861480708, + -0.8036772005425223, + -0.7224406751415741, + -0.6396859399945223, + -0.5568018326634883, + -0.47511981788261104, + -0.3958772226798488, + -0.3201834488558067, + -0.24899004376623465, + -0.18306540706381288, + -0.12297478806785403, + -0.06906608888850382, + -0.02146183588982898, + 0.019942479585925633, + 0.05547365698461408, + 0.08566977200211627, + 0.11126318892849597, + 0.13315805340741615, + 0.15240286388443086, + 0.17015884947370366, + 0.18766499284940913, + 0.20620062623796173, + 0.2270465943606105, + 0.2514460185587998, + 0.28056571027125654, + 0.31545926913140726, + 0.35703286150111574, + 0.40601461020513785, + 0.46292843717874815, + 0.5280730898929149, + 0.6015069525325554, + 0.6830390972120549, + 0.7722268726581037, + 0.8683801617249437, + 0.9705722689957816, + 1.07765722984008, + 1.188293166915964, + 1.3009711634018408, + 1.4140489781748045, + 1.525788800380808, + 1.6343981326184949, + 1.7380728060601733, + 1.8350410694825727, + 1.923607658993295, + 2.0021967471839024, + 2.069392689811529, + 2.123977534520084, + 2.1649643284985576, + 2.1916253586286945, + 2.203514576282091, + 2.20048359662194, + 2.182690815702558, + 2.150603354097696, + 2.10499170917894, + 2.0469171752549875, + 1.9777122672180842, + 1.8989545547783615, + 1.8124344765697842, + 1.7201178523700766, + 1.6241039436985465, + 1.5265800248584105, + 1.4297735152827764, + 1.335902787598615, + 1.2471278025282715, + 1.1655017306503528, + 1.0929247018690775, + 1.0311007766097553, + 0.9814991593654527, + 0.9453205770140769, + 0.9234696236667357, + 0.9165337336082952, + 0.9247692875433846, + 0.9480951886564059, + 0.9860940680281424, + 1.0380210980242741, + 1.1028202117806862, + 1.1791473512451445, + 1.2654001996655675, + 1.3597537009895533, + 1.4602005320834675, + 1.564595577304151, + 1.6707033615785405, + 1.776247330018368, + 1.8789598208508447, + 1.9766315650555546, + 2.067159560852273, + 2.1485922136845175, + 2.219170701510332, + 2.277365619313646, + 2.3219080734451336, + 2.3518145327998603, + 2.366404896567942, + 2.365313403587624, + 2.3484921821175266, + 2.316207416854968, + 2.269028287892508, + 2.2078090096686633, + 2.1336644625941426, + 2.0479400619080796, + 1.9521766437485162, + 1.848071264129294, + 1.73743489971733, + 1.6221481077770286, + 1.5041157447853033, + 1.3852218580696642, + 1.267285852108001, + 1.1520209912611694, + 1.0409962347681339, + 0.9356023095437306, + 0.8370228140058378, + 0.7462110146887923, + 0.6638728501100449, + 0.5904564969700389, + 0.5261486862962725, + 0.4708777858000567, + 0.42432349379400197, + 0.3859328237957552, + 0.35494190156893124, + 0.3304029517460677, + 0.3112157229342629, + 0.29616249149939466, + 0.28394569774191486, + 0.2732272060372146, + 0.2626681442236482, + 0.2509682679380298, + 0.2369038129066604, + 0.21936284190886396, + 0.19737716208639838, + 0.17014998068900455, + 0.13707858084900407, + 0.09777143066292959, + 0.052059285367366454, + 5.138764760463572e-16 + ], + [ + 0, + -0.06044143155310596, + -0.1261778823891616, + -0.19640478415747814, + -0.2701461107927795, + -0.346282240697375, + -0.42358198155992494, + -0.5007379076220282, + -0.5764040709905911, + -0.6492350843602732, + -0.7179255339095421, + -0.7812486691746771, + -0.8380933317269005, + -0.8874981261380742, + -0.9286819040085379, + -0.9610697230889357, + -0.9843135564936151, + -0.9983071588645445, + -1.0031946438110546, + -0.9993724863340259, + -0.9874848312502787, + -0.9684121596648435, + -0.9432535359955486, + -0.9133028236423291, + -0.8800194139328219, + -0.8449941565044656, + -0.8099113061568496, + -0.776507408191085, + -0.7465281285995943, + -0.7216840949937434, + -0.7036068472861595, + -0.693806002962097, + -0.6936287200409351, + -0.7042224919911731, + -0.7265022340420784, + -0.7611225213024416, + -0.8084557182276797, + -0.8685765991937303, + -0.9412539046387899, + -1.0259491102127953, + -1.1218225117193523, + -1.2277465506328662, + -1.3423261280043979, + -1.463925482995901, + -1.5907010503426258, + -1.72063956274663, + -1.8516005332307095, + -1.9813621420918597, + -2.1076694660453548, + -2.2282839256338147, + -2.341032792554447, + -2.4438575921328836, + -2.534860257957285, + -2.6123459452032547, + -2.674861485268408, + -2.7212285651817463, + -2.7505708384347356, + -2.762334316425674, + -2.756300548166918, + -2.7325922664339166, + -2.6916713569957205, + -2.634329189622417, + -2.561669530789827, + -2.475084433989107, + -2.376223670019375, + -2.266958412548826, + -2.149340029860172, + -2.025554948758862, + -1.897876648332342, + -1.7686159073914944, + -1.6400704684168046, + -1.5144752917504005, + -1.3939545563902098, + -1.2804765185149527, + -1.1758122669423188, + -1.081499317893873, + -0.998810872113552, + -0.9287314185161489, + -0.8719392135559627, + -0.8287959982241944, + -0.7993441391211734, + -0.7833112007163999, + -0.7801217771025909, + -0.7889162376460955, + -0.8085758761828686, + -0.8377538018208418, + -0.8749107746678361, + -0.9183550751683159, + -0.9662854039582949, + -1.0168357424218202, + -1.068121064017025, + -1.1182827738361005, + -1.1655327689903776, + -1.208195054800681, + -1.244743920281873, + -1.2738377692510237, + -1.2943478181744459, + -1.3053810056726862, + -1.30629660803242, + -1.2967162163564152, + -1.2765269000574384, + -1.2458775540241864, + -1.2051685986326055, + -1.1550353685490677, + -1.0963256838122497, + -1.0300722410677992, + -0.957460590479115, + -0.8797935715901711, + -0.7984531666172286, + -0.7148607902099078, + -0.6304370691840754, + -0.5465621732817695, + -0.4645377385256488, + -0.3855513787555165, + -0.31064470967468155, + -0.2406857150411637, + -0.17634616894666658, + -0.11808469439436965, + -0.06613589002604282, + -0.02050579763625605, + 0.01902618290587944, + 0.05289899331197486, + 0.08175546000346538, + 0.10642207059409882, + 0.12788352457178767, + 0.14725273614149423, + 0.165737086969941, + 0.18460182596565372, + 0.20513158969692658, + 0.2285910686347846, + 0.25618586977275176, + 0.2890246246444444, + 0.32808336333474725, + 0.3741731204387458, + 0.4279116594034154, + 0.4897000992567062, + 0.5597051049321938, + 0.6378471622956026, + 0.7237953050728061, + 0.8169684970194682, + 0.9165437029696677, + 1.0214705111172893, + 1.1304920003298649, + 1.2421713847201545, + 1.3549238171896156, + 1.467052598025259, + 1.5767889173280247, + 1.6823341640766267, + 1.7819037624601175, + 1.8737714496298274, + 1.9563128894757682, + 2.028047525004057, + 2.087677607276435, + 2.1341234008840813, + 2.1665536531152885, + 2.1844105242608545, + 2.1874283072246645, + 2.1756454125990685, + 2.1494092570194896, + 2.109373863977513, + 2.056490163145152, + 1.9919891522981847, + 1.9173582607389836, + 1.8343114203944426, + 1.7447535063667559, + 1.6507399487865866, + 1.554432438878578, + 1.4580517511800448, + 1.3638287783721879, + 1.2739549233080105, + 1.1905330133146779, + 1.1155298941520353, + 1.0507318252560123, + 0.9977037349069181, + 0.9577533052304551, + 0.9319007445870664, + 0.9208549716398174, + 0.9249967844325377, + 0.9443694228159666, + 0.9786767575332309, + 1.0272891584683599, + 1.0892569123674452, + 1.1633308811914675, + 1.2479899205089307, + 1.34147441716114, + 1.4418251607252015, + 1.5469266375725603, + 1.6545537326216597, + 1.7624207447193203, + 1.8682315688618152, + 1.9697298734399884, + 2.064748103941318, + 2.1512541759496293, + 2.227394779045486, + 2.2915342978524693, + 2.342288464889707, + 2.378551989390946, + 2.3995195536348897, + 2.4046997299643516, + 2.3939215435736574, + 2.3673335840889695, + 2.3253957485878383, + 2.2688638756018658, + 2.1987676994943373, + 2.116382713259439, + 2.0231966713911302, + 1.9208715895370532, + 1.8112022011686097, + 1.6960719109843856, + 1.5774073383401304, + 1.4571325704288767, + 1.337124243658252, + 1.2191685428133658, + 1.104921151961681, + 0.9958711101197377, + 0.893309420555511, + 0.7983031379090973, + 0.7116755152480367, + 0.6339926373261664, + 0.5655568006155377, + 0.5064067292947492, + 0.4563245436024955, + 0.4148492271254978, + 0.38129617692617523, + 0.35478226898071935, + 0.33425573495700206, + 0.3185300282960812, + 0.3063207607870086, + 0.29628471771978704, + 0.2870599120461771, + 0.27730561691202577, + 0.2657413219187123, + 0.25118359131599705, + 0.23257986114071624, + 0.2090382955610613, + 0.1798529282174474, + 0.14452343946316937, + 0.10276906190569435, + 0.05453626092757246, + 5.363898026253207e-16 + ], + [ + 0, + -0.06266991286827096, + -0.13031748700477427, + -0.2020436008934985, + -0.27679144864584915, + -0.35337695428452426, + -0.43052289796710813, + -0.5068958462035661, + -0.581144903095905, + -0.6519412497440669, + -0.7180174155098008, + -0.7782052284350124, + -0.8314714227170804, + -0.8769499380151323, + -0.9139700271005184, + -0.9420793929465843, + -0.9610617011749919, + -0.9709479557234, + -0.9720213811225175, + -0.9648156199729033, + -0.9501062249476203, + -0.9288955966240398, + -0.9023916873360074, + -0.8719809527748246, + -0.8391961831684808, + -0.8056799807260256, + -0.7731447662139025, + -0.7433302920597119, + -0.7179597098165684, + -0.6986952843249193, + -0.6870948642781041, + -0.6845702086067554, + -0.6923482303069712, + -0.7114361548946355, + -0.7425915010850567, + -0.7862976787131234, + -0.8427458660409228, + -0.9118236786730377, + -0.9931109789709744, + -1.0858830021239352, + -1.1891207971319075, + -1.3015288022641147, + -1.4215591994757575, + -1.5474425251226533, + -1.6772238592439634, + -1.8088037765348168, + -1.9399831223650859, + -2.068510579808464, + -2.192131921072031, + -2.3086397907987566, + -2.415922850638966, + -2.512013124754383, + -2.595130424336379, + -2.6637227949037943, + -2.7165020215395472, + -2.752473342141168, + -2.7709586544310354, + -2.7716126556185934, + -2.7544315205193484, + -2.719753900564102, + -2.6682542081863145, + -2.600928334130586, + -2.519072124829234, + -2.424253118779121, + -2.3182762006395103, + -2.2031439756803137, + -2.0810127917438095, + -1.9541454380216334, + -1.8248616272227136, + -1.6954874182546533, + -1.5683047591567383, + -1.4455023241849339, + -1.3291287848353797, + -1.2210495930710266, + -1.122908267625947, + -1.0360930631752017, + -0.9617097701247868, + -0.9005612430569316, + -0.8531340921497675, + -0.8195927982057686, + -0.7997813325359383, + -0.7932321822564378, + -0.7991825039847292, + -0.8165969588127102, + -0.8441966229321824, + -0.8804932252471159, + -0.9238278391926186, + -0.9724130537839519, + -1.0243775710847067, + -1.0778121256495217, + -1.1308155972501366, + -1.1815401918412902, + -1.2282345970810404, + -1.269284076918826, + -1.3032465532717303, + -1.3288838294680394, + -1.3451872372219849, + -1.3513971331870163, + -1.3470158289706546, + -1.3318137059059323, + -1.3058284386577264, + -1.2693574255673046, + -1.2229436941588996, + -1.167355713193972, + -1.1035616940047468, + -1.0326990998105972, + -0.9560401989518647, + -0.8749545935743773, + -0.7908697269196633, + -0.7052304182804784, + -0.6194584937764395, + -0.534913572971867, + -0.45285603626262205, + -0.3744131368431685, + -0.3005491355233024, + -0.23204022890263845, + -0.1694549141925335, + -0.11314029054896041, + -0.06321464080044707, + -0.019566472890052887, + 0.018139968619152725, + 0.05045287970924991, + 0.07811508638384126, + 0.10204072664021516, + 0.12328704932966787, + 0.1430220825068906, + 0.16248903281832694, + 0.18296836439311545, + 0.20573856835715412, + 0.2320366708794679, + 0.2630195376197676, + 0.2997270152911731, + 0.34304790717955735, + 0.39368970994087893, + 0.45215294554695484, + 0.5187108071894081, + 0.5933947041484361, + 0.6759861414303141, + 0.7660152091102214, + 0.8627657878182966, + 0.9652874049093128, + 1.072413504884679, + 1.1827857318991164, + 1.2948836658700418, + 1.4070593107741607, + 1.5175755077951776, + 1.6246473402928088, + 1.7264855148115341, + 1.8213406446863365, + 1.9075473317581533, + 1.9835669381502408, + 2.0480279641612147, + 2.0997629995954994, + 2.137841293094696, + 2.16159608542246, + 2.170645975755354, + 2.16490973186241, + 2.1446141121650295, + 2.110294436218161, + 2.0627878160129502, + 2.003219139350132, + 1.9329800739686822, + 1.8537015327582007, + 1.767220201991577, + 1.675539882083374, + 1.5807885202421972, + 1.485171923306025, + 1.3909252243025285, + 1.3002632357125297, + 1.2153308545189363, + 1.1381546880479088, + 1.0705970451993698, + 1.0143133854608202, + 0.9707142393251532, + 0.9409325102682221, + 0.9257969427695898, + 0.9258123960135289, + 0.9411474023913, + 0.9716293176323819, + 1.0167471895043618, + 1.075662288909879, + 1.147226065326554, + 1.2300051123055695, + 1.3223125624522871, + 1.422245179001261, + 1.5277252764687317, + 1.636546489185448, + 1.746422316535282, + 1.8550363096230715, + 1.9600927274063473, + 2.0593664819157333, + 2.1507512122312393, + 2.2323043748515428, + 2.302288312783163, + 2.3592063652246558, + 2.401833201659294, + 2.429238705483026, + 2.440804889497797, + 2.436235494822225, + 2.4155581018526138, + 2.3791187625008954, + 2.3275693426170236, + 2.261847937876612, + 2.1831528912235934, + 2.092911091189467, + 1.9927413643944756, + 1.8844138890337692, + 1.7698066464364335, + 1.6508599927098935, + 1.529530470529395, + 1.4077449914525342, + 1.28735650157045, + 1.1701021983785103, + 1.057565295665565, + 0.9511412378316584, + 0.8520091477993018, + 0.7611091565682014, + 0.6791261109255518, + 0.6064799926869969, + 0.5433232122104064, + 0.48954476507605155, + 0.4447810681144469, + 0.4084331237005504, + 0.37968950358877684, + 0.3575544994572997, + 0.34088066033609427, + 0.32840483034986584, + 0.31878671634068506, + 0.3106489559944567, + 0.30261762450088997, + 0.2933621122860963, + 0.2816333280470238, + 0.26629922958194363, + 0.2463767584787297, + 0.22105935168650975, + 0.1897393208638449, + 0.15202452615257733, + 0.1077489212079862, + 0.05697670710005489, + 5.583097389795766e-16 + ], + [ + 0, + -0.06478965750891556, + -0.13419249570529493, + -0.2072214044162032, + -0.28274688592305464, + -0.3595297829479074, + -0.4362572306884942, + -0.5115808745169638, + -0.5841563339137102, + -0.6526828582606127, + -0.7159421121794391, + -0.7728350474032438, + -0.8224158642575436, + -0.8639221375752112, + -0.8968002774985984, + -0.9207256127555727, + -0.9356165197101662, + -0.9416421713893782, + -0.9392236429947741, + -0.9290282800477273, + -0.9119574080266232, + -0.8891276337848131, + -0.8618461548655199, + -0.8315806488626764, + -0.7999244572603199, + -0.7685579030997621, + -0.7392066861821046, + -0.7135983806304278, + -0.6934181154022069, + -0.6802645472780919, + -0.675607237143961, + -0.6807465139024851, + -0.6967768566633746, + -0.7245547462115909, + -0.764671833032622, + -0.8174341438784263, + -0.8828479050236792, + -0.9606124014932866, + -1.0501201215233766, + -1.150464258518787, + -1.2604534631421336, + -1.378633560338997, + -1.5033157744618995, + -1.6326108444496785, + -1.7644682642470626, + -1.8967197549615236, + -2.027125967861738, + -2.1534253339163074, + -2.273383918258624, + -2.3848451082113407, + -2.4857779621032083, + -2.5743230731582014, + -2.6488348576282514, + -2.7079192577891185, + -2.7504659564822656, + -2.7756743280165233, + -2.7830724973502248, + -2.7725290419976183, + -2.74425704510215, + -2.698810389369156, + -2.6370723656467057, + -2.560236852409531, + -2.4697824987983417, + -2.3674405099049367, + -2.255156784634058, + -2.1350492900304685, + -2.0093616681916475, + -1.8804141600723814, + -1.7505529924975793, + -1.622099409043815, + -1.4972995313190258, + -1.3782762144490335, + -1.2669840098575225, + -1.1651682709745772, + -1.0743293352544896, + -0.9956925913582176, + -0.9301850966343969, + -0.8784192506574594, + -0.8406838594725143, + -0.816942746558125, + -0.8068408847308963, + -0.8097178427320689, + -0.8246281654678619, + -0.8503681420857973, + -0.8855082652687205, + -0.9284305519746573, + -0.9773697835597891, + -1.0304576344889105, + -1.0857685957706846, + -1.1413665633243177, + -1.195350953486352, + -1.2459012279056938, + -1.291318757562328, + -1.3300650293128802, + -1.3607952963012695, + -1.382386893264272, + -1.393961576165962, + -1.3949013992089825, + -1.3848578072225715, + -1.3637537935719295, + -1.331779148755472, + -1.2893789983790296, + -1.2372359968883988, + -1.176246701128602, + -1.10749279156222, + -1.0322079352592382, + -0.9517411904493708, + -0.8675179349088975, + -0.7809993577272314, + -0.6936415846878219, + -0.6068555108968355, + -0.5219683903797488, + -0.44018818180429475, + -0.362571573610452, + -0.28999651260019566, + -0.22313994001250353, + -0.16246130135337672, + -0.10819224428013169, + -0.06033275652255927, + -0.01865382728656752, + 0.01729345489127717, + 0.04816262296046348, + 0.07479078740571955, + 0.09817239478092779, + 0.11942849209810925, + 0.13977231852909106, + 0.1604721429300855, + 0.18281233924283113, + 0.2080537399771576, + 0.2373943294946023, + 0.2719313331172067, + 0.31262572529090316, + 0.36027012093266103, + 0.4154609301415395, + 0.4785755497397262, + 0.5497552382896936, + 0.6288941774759154, + 0.7156350656426718, + 0.8093714227827856, + 0.9092566145566877, + 1.0142194303070762, + 1.1229858808711644, + 1.2341067205512446, + 1.3459900479710154, + 1.4569382065178067, + 1.5651880900649717, + 1.668953866630699, + 1.7664710639630166, + 1.8560409185463946, + 1.9360738743535466, + 2.0051311302890094, + 2.0619631754691103, + 2.1055443183488496, + 2.1351023076673608, + 2.1501422580393768, + 2.150464227996207, + 2.1361739500955794, + 2.1076863776697903, + 2.0657218868263802, + 2.0112951511809047, + 1.9456968860849877, + 1.8704688343921332, + 1.787372532746439, + 1.6983525518488922, + 1.6054950423175698, + 1.51098253616966, + 1.4170460496542878, + 1.325915603749837, + 1.2397703223143306, + 1.1606892835108584, + 1.0906042872755322, + 1.0312556605083216, + 0.984152153295483, + 0.9505358854352757, + 0.931353185088516, + 0.9272320233395969, + 0.9384665931686642, + 0.9650094125627106, + 1.00647115332808, + 1.0621282139369594, + 1.130937870900298, + 1.2115606631805897, + 1.3023894924181132, + 1.4015847624207212, + 1.5071147383341157, + 1.6168001826413203, + 1.7283622246273493, + 1.8394723446207315, + 1.9478033060029056, + 2.0510798478128436, + 2.1471279592306614, + 2.2339215940631014, + 2.3096257476422632, + 2.3726349086826093, + 2.4216060123840273, + 2.4554851556085437, + 2.4735274869759274, + 2.475309850476612, + 2.4607359366138297, + 2.4300338758551856, + 2.383746390866686, + 2.3227138021738183, + 2.2480503521935242, + 2.1611144708581502, + 2.063473748461803, + 1.956865504453574, + 1.8431539417163993, + 1.724284951995508, + 1.6022396877823522, + 1.478988037981501, + 1.356443138637262, + 1.2364180161175957, + 1.1205853993760333, + 1.010441651834013, + 0.9072756642641684, + 0.8121434205968975, + 0.7258488021009619, + 0.6489310356028813, + 0.5816590223308516, + 0.5240326098403888, + 0.47579069466024504, + 0.4364258721561204, + 0.40520518691235985, + 0.3811963857371335, + 0.36329893995558304, + 0.35027898731781976, + 0.340807249479916, + 0.3334989109266716, + 0.3269544010932126, + 0.31980000435293454, + 0.31072723283719217, + 0.298529934415221, + 0.2821381715899168, + 0.2606479949017701, + 0.23334634441410523, + 0.19973044215790695, + 0.15952118374138136, + 0.11267019497508353, + 0.05936038531830274, + 5.794525877546376e-16 + ], + [ + 0, + -0.06678259417549484, + -0.1377696226555108, + -0.21189341737723294, + -0.28796061858074495, + -0.3646869546261853, + -0.4407347248573425, + -0.5147519845380502, + -0.5854123845017203, + -0.6514545986016786, + -0.7117202798525157, + -0.7651895211435653, + -0.8110128577330438, + -0.8485389348795848, + -0.877337072794691, + -0.89721408988968, + -0.908224890823075, + -0.910676484482698, + -0.9051252647802505, + -0.8923675597788274, + -0.873423627869756, + -0.8495154490970711, + -0.8220388210163748, + -0.7925304175851756, + -0.7626306027266397, + -0.7340429039928433, + -0.7084911432591026, + -0.6876752882411828, + -0.6732271290857049, + -0.6666668972403645, + -0.6693619288475812, + -0.6824884323012114, + -0.7069973503285492, + -0.7435852126428611, + -0.7926707581157394, + -0.8543779683755569, + -0.9285260010822963, + -1.0146263446138415, + -1.111887340605867, + -1.2192260410246472, + -1.3352871866477019, + -1.4584689184198831, + -1.5869546664820253, + -1.7187505078679708, + -1.8517271467571481, + -1.9836655541725938, + -2.1123052100577704, + -2.2353938221167517, + -2.3507373544065366, + -2.4562491855075144, + -2.549997231555334, + -2.6302479131790237, + -2.695505916443833, + -2.7445487945596785, + -2.7764555770726904, + -2.790628693619624, + -2.786808676700651, + -2.7650812785028624, + -2.7258768164454414, + -2.6699617464538106, + -2.5984226475221535, + -2.51264298140235, + -2.414273162875923, + -2.3051946348488865, + -2.1874787845952928, + -2.0633416594106215, + -1.9350955387613629, + -1.805098493338303, + -1.675703107470542, + -1.5492055590339058, + -1.4277962398877178, + -1.3135130602964797, + -1.2081985137362317, + -1.1134614856178622, + -1.0306446730819432, + -0.9607983460055903, + -0.9046610250875091, + -0.8626474851386018, + -0.834844314622026, + -0.8210130804028596, + -0.8206009640426731, + -0.832758557274529, + -0.8563643338805215, + -0.8900551572170694, + -0.9322620409289046, + -0.981250258389345, + -1.0351627970378507, + -1.0920660794282067, + -1.149996825201779, + -1.2070089084462083, + -1.2612190733860758, + -1.3108504077752903, + -1.3542725367274757, + -1.390037588371951, + -1.4169110943782033, + -1.433897120204404, + -1.4402570685564073, + -1.4355217612424804, + -1.4194965753102016, + -1.3922595847749235, + -1.354152835005219, + -1.305767048533075, + -1.2479202244283953, + -1.1816307443594058, + -1.1080857333106402, + -1.0286055383173927, + -0.9446052816615078, + -0.8575545134832991, + -0.7689360310428865, + -0.6802049469155554, + -0.5927490759185783, + -0.5078516709209618, + -0.4266574719431814, + -0.35014294282585806, + -0.2790914575587663, + -0.214074066991064, + -0.15543632944551664, + -0.10329152948397624, + -0.057520441769554634, + -0.017777625892624847, + 0.01649593248456799, + 0.04605418443023227, + 0.07182189128517127, + 0.09486565920084192, + 0.11636091168733638, + 0.13755568401751328, + 0.15973220752144082, + 0.18416731120032315, + 0.21209270116650988, + 0.24465618431365313, + 0.2828848811605539, + 0.327651424504576, + 0.3796440665531953, + 0.4393415194099572, + 0.5069932346101466, + 0.5826056898093334, + 0.6659350981689417, + 0.7564867922825806, + 0.853521363756633, + 0.956067466092341, + 1.062941016685124, + 1.1727703678968935, + 1.2840268614637664, + 1.39506003892339, + 1.5041366568855659, + 1.6094825529936554, + 1.7093263289830036, + 1.801943763404188, + 1.8857018397768346, + 1.9591012769348064, + 2.020816477185819, + 2.0697318640131543, + 2.104973663089428, + 2.125936286399181, + 2.13230260672432, + 2.124057555541637, + 2.101494637959841, + 2.0652151297550008, + 2.016119899640512, + 1.9553939802486733, + 1.8844841894587567, + 1.8050702752780072, + 1.7190302182184118, + 1.628400471022151, + 1.5353320430413147, + 1.4420434423876412, + 1.3507715704795022, + 1.2637217187641763, + 1.1830178447653, + 1.1106543034637384, + 1.0484501803279276, + 0.998007314733776, + 0.9606730184060727, + 0.9375083848777969, + 0.9292629554109566, + 0.9363563575018599, + 0.9588673676191339, + 0.9965306741819213, + 1.0487414342436503, + 1.114567532340091, + 1.192769266988572, + 1.2818260138399102, + 1.379969248779896, + 1.4852211633840413, + 1.5954379727169017, + 1.7083569047518095, + 1.8216457743530727, + 1.9329539848981678, + 2.0399637686607406, + 2.1404404737810876, + 2.232280731071497, + 2.313557387389338, + 2.3825601725230166, + 2.4378311714841607, + 2.478194301188563, + 2.5027781366038737, + 2.511031592946258, + 2.502732143451825, + 2.477986432385669, + 2.437223325866974, + 2.3811796243059504, + 2.3108788353401746, + 2.227603570855278, + 2.13286228197237, + 2.0283511781387613, + 1.9159122874774022, + 1.7974887026722954, + 1.6750781178239493, + 1.5506857954791993, + 1.4262781086801877, + 1.3037377803416328, + 1.1848218922048823, + 1.0711236593613684, + 0.9640388658636745, + 0.8647377348203066, + 0.7741428657040411, + 0.6929137159486783, + 0.6214379371853588, + 0.5598297028637222, + 0.5079349878632389, + 0.4653435864272143, + 0.4314074866919687, + 0.40526506241738913, + 0.3858703991652502, + 0.37202694666606434, + 0.3624245845580262, + 0.3556791076371836, + 0.3503730811976875, + 0.3450969882943388, + 0.3384895894821727, + 0.3292764417451445, + 0.31630557619568356, + 0.29857941231706275, + 0.2752820880051333, + 0.2458015068365735, + 0.20974554372148066, + 0.1669520038250069, + 0.11749209345275068, + 0.06166733132442137, + 5.996396084766755e-16 + ], + [ + 0, + -0.06863161510404027, + -0.14101795425385466, + -0.21601902580357096, + -0.2923871024459921, + -0.3688032697915923, + -0.4439161283133596, + -0.5163816134088495, + -0.5849028671504801, + -0.6482690914580702, + -0.7053923360573648, + -0.7553412251164203, + -0.797370702631906, + -0.8309469765762104, + -0.8557669630202628, + -0.8717716708846964, + -0.8791531221494854, + -0.8783545674000212, + -0.8700639283576768, + -0.8552005732115864, + -0.8348957027448931, + -0.810466791084649, + -0.7833866802027494, + -0.7552480681148663, + -0.7277242534795658, + -0.7025271008500507, + -0.6813632685596418, + -0.6658897931030143, + -0.6576701485232713, + -0.6581318960224728, + -0.6685270077678412, + -0.6898958903523145, + -0.7230360489519695, + -0.7684762249178286, + -0.8264567099581865, + -0.8969163923574259, + -0.9794869284432527, + -1.0734942597301569, + -1.177967517077018, + -1.2916551722112601, + -1.413048118557633, + -1.5404091918793195, + -1.671808481042362, + -1.805163634231879, + -1.938284239793559, + -2.0689192567020367, + -2.1948063900885093, + -2.313722254311394, + -2.4235321410919464, + -2.5222382139409003, + -2.6080249824476214, + -2.679300970261233, + -2.734735577347542, + -2.7732902482880304, + -2.7942431913268604, + -2.7972070443608814, + -2.782139050440175, + -2.7493434825681646, + -2.6994662413571757, + -2.6334817349405286, + -2.5526723339448703, + -2.4586008708238047, + -2.3530768181498622, + -2.238116930534405, + -2.1159012660434335, + -1.9887256121131187, + -1.8589514253941115, + -1.7289544526250678, + -1.601073229166889, + -1.4775586525208861, + -1.3605258000164557, + -1.2519091035999186, + -1.1534219116896278, + -1.06652136043804, + -0.9923793471172636, + -0.9318602499145481, + -0.8855058748393072, + -0.8535279357221891, + -0.8358081917147446, + -0.8319061827237161, + -0.8410743213362062, + -0.8622799244522652, + -0.894233603312113, + -0.9354232808855445, + -0.9841529743080891, + -1.0385853703686916, + -1.0967871366045834, + -1.1567758513659796, + -1.2165674046490795, + -1.2742227182490862, + -1.3278926588426043, + -1.375860070258514, + -1.4165779300449097, + -1.4487027384481101, + -1.4711223724556919, + -1.4829777804582334, + -1.4836780507458056, + -1.4729085555076766, + -1.450632047021474, + -1.417082759921348, + -1.3727537483989463, + -1.3183778555577355, + -1.2549028697251958, + -1.1834615654219705, + -1.1053374513597167, + -1.0219271512207013, + -0.9347004225303812, + -0.8451588727386226, + -0.7547944583934874, + -0.6650488524203136, + -0.5772747360990612, + -0.49270001714599815, + -0.4123958948034738, + -0.3372495891096711, + -0.2679424272246912, + -0.2049338380103534, + -0.14845165061203058, + -0.09848892752803792, + -0.054807391775556775, + -0.016947335609744152, + 0.015756270807911775, + 0.044151914077248285, + 0.06924450905059422, + 0.09216393554825278, + 0.11412998489957416, + 0.13641465544604117, + 0.16030280660577842, + 0.18705222568890406, + 0.21785417922069095, + 0.253795510605314, + 0.2958233087702458, + 0.3447131088802131, + 0.4010414978748458, + 0.4651638866660107, + 0.5371980801004175, + 0.617014128523387, + 0.7042307846638252, + 0.798218720619714, + 0.898110486207344, + 1.0028170162163108, + 1.1110503245698564, + 1.2213518623124757, + 1.3321258678155332, + 1.4416769053822858, + 1.5482506759198547, + 1.6500770934151423, + 1.7454145559331986, + 1.832594301461009, + 1.9100637281972728, + 1.976427576200333, + 2.0304859123151666, + 2.071267931977962, + 2.098060688148434, + 2.110431976925485, + 2.1082467484721916, + 2.091676567324758, + 2.0612018141857464, + 2.017606497783031, + 1.9619657259717267, + 1.8956260655144725, + 1.8201791954424578, + 1.7374294252305715, + 1.6493558020874894, + 1.5580696676556354, + 1.4657686399431185, + 1.3746880884722248, + 1.287051237101033, + 1.2050190680594706, + 1.1306412114116018, + 1.0658089860849282, + 1.0122117121717427, + 0.9712973404835068, + 0.9442383460741507, + 0.931903710018698, + 0.934837671088662, + 0.9532457695520635, + 0.9869885330063025, + 1.0355829731080004, + 1.0982118766944746, + 1.1737406896043425, + 1.2607416110056269, + 1.3575243446216667, + 1.4621727950799925, + 1.5725868565451835, + 1.6865283202640764, + 1.8016698305775145, + 1.9156457476898776, + 2.026103731756408, + 2.1307558476945547, + 2.2274280038948167, + 2.3141065803359773, + 2.3889811714379703, + 2.4504824645778833, + 2.497314394187109, + 2.528479850805406, + 2.5432993809576083, + 2.54142248339375, + 2.522831285929244, + 2.487836570457528, + 2.4370662971959494, + 2.3714469583822875, + 2.292178262094014, + 2.2007018044664193, + 2.098664529514463, + 1.9878778966090584, + 1.8702737735157742, + 1.7478581454392264, + 1.6226637760249618, + 1.4967029737192397, + 1.371921605936858, + 1.2501554645017432, + 1.1330900198611642, + 1.0222245103530736, + 0.9188411986710081, + 0.8239804935268745, + 0.7384224837549394, + 0.6626752685295505, + 0.5969702950940677, + 0.5412647387356548, + 0.49525078310586684, + 0.45837148678537043, + 0.42984275850817455, + 0.4086808127548511, + 0.39373434322644474, + 0.3837205373324906, + 0.37726396307707805, + 0.3729372928441391, + 0.36930278817880485, + 0.36495345668130225, + 0.3585528068304288, + 0.348872168497521, + 0.33482461497884247, + 0.31549461479009727, + 0.2901626558477542, + 0.2583242180759704, + 0.21970261951743505, + 0.17425542189473847, + 0.12217425017477138, + 0.06387805274994278, + 6.186988061787375e-16 + ], + [ + 0, + -0.07032075061075688, + -0.14390926927766115, + -0.21956220754846448, + -0.2959875455773556, + -0.37184260769917743, + -0.44577365775308325, + -0.516456013333872, + -0.5826336025892626, + -0.6431568992411011, + -0.697018210908172, + -0.7433833615791873, + -0.7816188995929855, + -0.8113140754708802, + -0.8322969665871222, + -0.8446442746334317, + -0.848684483393481, + -0.8449942344322037, + -0.8343879526419874, + -0.8179009277786614, + -0.796766227766868, + -0.7723859803654991, + -0.746297707681823, + -0.7201365292463724, + -0.6955941605585824, + -0.6743757223294194, + -0.6581554387920622, + -0.6485323397603214, + -0.646987089588689, + -0.6548410465226884, + -0.6732186085198011, + -0.703013827558657, + -0.7448621754929199, + -0.7991182230258643, + -0.8658398523271096, + -0.9447794666229349, + -1.0353824906131377, + -1.13679327796152, + -1.2478683607457197, + -1.367196795109987, + -1.4931271819085523, + -1.623800775205454, + -1.7571899392310437, + -1.8911410795782506, + -2.0234210604229954, + -2.151766029235208, + -2.273931506093698, + -2.3877425579780027, + -2.4911428702542806, + -2.582241548269648, + -2.6593565310796548, + -2.721053575717727, + -2.7661798722617736, + -2.79389147482301, + -2.8036738784678215, + -2.7953552334835337, + -2.769111862402453, + -2.725465927582439, + -2.665275283474265, + -2.58971573345422, + -2.500256091744177, + -2.398626622083311, + -2.286781582288851, + -2.1668567438150386, + -2.0411228744843823, + -1.9119362678300893, + -1.7816874716425826, + -1.652749409684862, + -1.5274261031414587, + -1.40790318190689, + -1.2962013307291582, + -1.194133742627048, + -1.1032685536973756, + -1.0248971118465098, + -0.9600087901152516, + -0.9092728966067322, + -0.8730280614700128, + -0.851279301146137, + -0.8437027755634671, + -0.8496580696897503, + -0.8682076513100966, + -0.8981429864803564, + -0.938016636949626, + -0.9861795237658367, + -1.0408224216589816, + -1.10002065251215, + -1.1617808755745418, + -1.2240888287006928, + -1.2849568597965317, + -1.3424701010968576, + -1.3948301804652319, + -1.4403954324770756, + -1.4777166658353877, + -1.5055676602710044, + -1.5229697025314086, + -1.5292096239134332, + -1.5238509671976175, + -1.5067380846430294, + -1.477993146550815, + -1.4380062173603543, + -1.387418728881918, + -1.3271008438018206, + -1.2581233529642686, + -1.1817248834195737, + -1.0992753075413209, + -1.0122363338764424, + -0.922120325602009, + -0.8304484309542421, + -0.7387091208742577, + -0.6483182121792966, + -0.5605814103138957, + -0.47666033534264557, + -0.39754290014899957, + -0.32401879324537086, + -0.25666068316594415, + -0.19581161056430763, + -0.1415788717155007, + -0.09383452725628699, + -0.052222497002117015, + -0.016172029943419902, + 0.015082827597656882, + 0.04247829896489208, + 0.06709115514328182, + 0.0901050046422856, + 0.11277350074826666, + 0.13638145290585507, + 0.1622048849828246, + 0.19147111243029155, + 0.2253199121088411, + 0.2647668327431893, + 0.31066964121945745, + 0.36369882155523886, + 0.4243129413053747, + 0.49273957696590653, + 0.5689623486898439, + 0.652714458873946, + 0.7434789628277089, + 0.8404958269780994, + 0.9427756552479694, + 1.049119791781831, + 1.1581463424386924, + 1.2683215026253007, + 1.3779954390361786, + 1.4854418512668148, + 1.5889002391865603, + 1.686619825979371, + 1.7769040368671098, + 1.8581544110572377, + 1.9289128300585618, + 1.9879009791392503, + 2.0340560196159285, + 2.0665615364348486, + 2.084872936061848, + 2.0887366013667377, + 2.0782022597681102, + 2.0536281847423665, + 2.015679024879258, + 1.9653162347060824, + 1.9037812630665953, + 1.8325718334438754, + 1.7534118218378163, + 1.6682153973992682, + 1.5790462350149665, + 1.4880727338369562, + 1.397520278232822, + 1.309621655216205, + 1.226566793128853, + 1.1504530088725033, + 1.0832369447080412, + 1.0266893406374655, + 0.9823537254523409, + 0.9515100201511705, + 0.9351439337289535, + 0.9339228960563599, + 0.9481791189586001, + 0.9779002083923272, + 1.0227275718826525, + 1.081962680462348, + 1.154581057747727, + 1.2392536850305569, + 1.3343753348356027, + 1.4380991805844037, + 1.5483768808298222, + 1.6630032066127949, + 1.7796641730020673, + 1.895987553419168, + 2.009594599921576, + 2.118151765551894, + 2.219421226799944, + 2.311309035097687, + 2.3919097852948674, + 2.459546774779374, + 2.5128067371898597, + 2.5505683667996557, + 2.57202400037796, + 2.576693988952325, + 2.5644334683400865, + 2.5354314202609194, + 2.4902021008091357, + 2.4295690955314515, + 2.354642435870851, + 2.2667893760253115, + 2.1675995783405106, + 2.0588455855990513, + 1.942439566845778, + 1.8203874071077233, + 1.6947412685466803, + 1.5675517798988643, + 1.4408210118776827, + 1.31645736861417, + 1.196233469959732, + 1.0817480180343302, + 0.97439253587094, + 0.8753237390779103, + 0.7854421563311244, + 0.7053774548793639, + 0.6354807571111779, + 0.5758240578546607, + 0.5262066738729888, + 0.4861684814241211, + 0.45500952914320386, + 0.4318154560683862, + 0.415488002264307, + 0.4047797757176456, + 0.39833233702975707, + 0.39471658540976856, + 0.3924743774664888, + 0.3901602855437035, + 0.3863824053906191, + 0.3798411536598015, + 0.3693650532381305, + 0.35394258723005967, + 0.33274930838195865, + 0.3051695171378107, + 0.2708119651168438, + 0.22951919794038522, + 0.18137031800976405, + 0.12667711981423566, + 0.06597372326275038, + 6.364666640263556e-16 + ], + [ + 0, + -0.07183533331270517, + -0.146418334008587, + -0.22249191731641552, + -0.29873033588525655, + -0.3737783445908897, + -0.446291352547272, + -0.5149754849391459, + -0.5786264776284851, + -0.6361663554820607, + -0.6866769003357923, + -0.7294289950895367, + -0.7639070346032472, + -0.789827719235626, + -0.8071526898919119, + -0.8160946207377856, + -0.8171165533377579, + -0.8109244296702224, + -0.7984529568800106, + -0.7808451093250205, + -0.7594257390896894, + -0.735669920478127, + -0.7111667931423946, + -0.6875797888991231, + -0.666604225855514, + -0.6499233276594605, + -0.6391637735680841, + -0.6358519053087964, + -0.6413717087878623, + -0.6569256526873556, + -0.6834994026874417, + -0.7218313409445029, + -0.772387707680351, + -0.8353440480215973, + -0.9105734958260057, + -0.9976422608467922, + -1.095812510274102, + -1.2040526547690928, + -1.3210548670326774, + -1.4452594822290517, + -1.5748857586416594, + -1.7079683180211545, + -1.8423984421481792, + -1.9759692787480716, + -2.106423909154785, + -2.2315051545688624, + -2.34900594931483, + -2.4568190894376527, + -2.552985173850128, + -2.6357375929062523, + -2.7035434848739706, + -2.7551396727707855, + -2.7895627102127674, + -2.806172302520139, + -2.804667525000022, + -2.785095430321024, + -2.747851817081784, + -2.693674117679482, + -2.623626550881323, + -2.539077868534217, + -2.4416722021341672, + -2.3332936792244445, + -2.2160256277996324, + -2.092105315453403, + -1.963875275792845, + -1.8337323550810176, + -1.704075665212354, + -1.5772546536906045, + -1.4555184966857229, + -1.3409679876256668, + -1.235511031976082, + -1.1408227704065148, + -1.05831123962137, + -0.989089345528079, + -0.9339537704343017, + -0.8933712683672105, + -0.8674726245016122, + -0.8560543704332982, + -0.8585881611471019, + -0.8742375365474857, + -0.9018816148058522, + -0.9401451008080455, + -0.9874338446387833, + -1.0419750559069936, + -1.1018611729073424, + -1.165096303683655, + -1.2296441009458097, + -1.2934759057651226, + -1.3546179966099985, + -1.4111968104515087, + -1.4614810605302753, + -1.5039197594119127, + -1.5371752640045389, + -1.5601505885150757, + -1.5720103786078985, + -1.5721951015873488, + -1.5604281791978727, + -1.5367159673193864, + -1.5013406659926452, + -1.4548464193737758, + -1.3980190340079475, + -1.331859901041517, + -1.2575548497694407, + -1.1764387827435827, + -1.0899570435312562, + -0.9996245446503604, + -0.9069837333716768, + -0.8135624957846994, + -0.720833094275187, + -0.6301732005652568, + -0.5428300266208775, + -0.4598884706092316, + -0.38224408689350137, + -0.31058156056593805, + -0.245359221527535, + -0.18679997433450338, + -0.13488885198795206, + -0.089377228812747, + -0.04979355394535569, + -0.01546029713099802, + 0.014483363178378738, + 0.041053728934290275, + 0.06539040182292559, + 0.08872059995283017, + 0.1123209308801983, + 0.13747764718730326, + 0.16544645173824404, + 0.19741293326766216, + 0.23445469875044844, + 0.2775062273904488, + 0.3273274030812691, + 0.3844765895249108, + 0.449288997159732, + 0.5218609565291268, + 0.602040562090849, + 0.6894249875081813, + 0.7833646022770115, + 0.8829738444389318, + 0.987148629526558, + 1.094589906193729, + 1.2038328084957939, + 1.313280707575248, + 1.4212433353216558, + 1.525978042738973, + 1.6257331690914174, + 1.7187924366603402, + 1.8035192517469931, + 1.878399786345032, + 1.9420837369309067, + 1.9934217066236999, + 2.031498233399086, + 2.0556595882887607, + 2.065535591118679, + 2.0610548343360495, + 2.042452864357017, + 2.0102730407421063, + 1.9653599721758834, + 1.908845610289462, + 1.8421282633235083, + 1.7668449670068458, + 1.684837815471757, + 1.5981150064278322, + 1.5088074883968783, + 1.4191222102284227, + 1.3312930615431373, + 1.2475306549482112, + 1.169972135236546, + 1.1006322064056742, + 1.041356544002148, + 0.9937787085168381, + 0.9592815965282666, + 0.9389643618903665, + 0.9336156119882992, + 0.9436935370065713, + 0.9693134668233916, + 1.0102431745214944, + 1.0659060618520284, + 1.1353921747682898, + 1.2174768109148217, + 1.3106463002480397, + 1.4131303691777304, + 1.5229403419141412, + 1.6379122938989104, + 1.7557541546681494, + 1.874095664101213, + 1.9905400190158027, + 2.102716008099821, + 2.20832942315723, + 2.30521255381419, + 2.3913706206935346, + 2.465024077428389, + 2.524645812885925, + 2.5689924091186063, + 2.5971287547980704, + 2.608445474671291, + 2.602668808964226, + 2.5798627583941927, + 2.5404234960899763, + 2.485066232719096, + 2.4148049009687576, + 2.330925195838365, + 2.2349516638363727, + 2.1286096733353745, + 2.013783216666654, + 1.8924695891871781, + 1.7667320592760176, + 1.638651684404428, + 1.5102794411470355, + 1.383589821039144, + 1.2604370000231078, + 1.142514618047087, + 1.0313201090304918, + 0.928124402357649, + 0.8339476783284341, + 0.7495417050846377, + 0.6753791173415795, + 0.6116498219781167, + 0.5582645365590144, + 0.5148652886479302, + 0.48084253075416045, + 0.45535836223937526, + 0.43737519954380893, + 0.42568910337973803, + 0.4189668593502338, + 0.41578581953073024, + 0.4146754490604522, + 0.41415948525047575, + 0.4127976079685583, + 0.40922553925340166, + 0.40219253668826394, + 0.390595317785458, + 0.37350754960518734, + 0.3502041565542402, + 0.3201798367391756, + 0.2831613298758897, + 0.23911314369534656, + 0.18823661686633966, + 0.1309623703367164, + 0.06793637126423786, + 6.527898018164599e-16 + ], + [ + 0, + -0.07316215028350286, + -0.1485231691758851, + -0.22478242408095164, + -0.3005913992828364, + -0.3745936791018228, + -0.4454653120089373, + -0.5119544709906665, + -0.5729193418223719, + -0.6273632147320135, + -0.6744658251284618, + -0.7136100838797946, + -0.7444034546838644, + -0.7666933724410693, + -0.7805762487935081, + -0.7863997753076762, + -0.7847584070134755, + -0.776482084829825, + -0.7626184303692627, + -0.7444088162981273, + -0.7232588755379229, + -0.700704159062969, + -0.6783717811499239, + -0.6579389993651912, + -0.6410897615470366, + -0.6294703113426046, + -0.6246449759260266, + -0.628053263460033, + -0.6409693734787202, + -0.6644651711788526, + -0.6993775978217217, + -0.7462813859434955, + -0.8054678223455904, + -0.8769301569433455, + -0.9603560950304717, + -1.0551276383042443, + -1.1603283603275718, + -1.2747580194089478, + -1.3969542306749931, + -1.5252207438811698, + -1.6576617086044303, + -1.7922211579912393, + -1.926726809951241, + -2.0589371739056705, + -2.186590864709597, + -2.3074569653655734, + -2.4193852481791107, + -2.520355060933626, + -2.608521710632494, + -2.6822592318030893, + -2.740198508015223, + -2.781259822195758, + -2.8046790409611737, + -2.8100267874168043, + -2.797220122078177, + -2.7665264287520075, + -2.7185593870703193, + -2.654267101406718, + -2.5749126425436, + -2.482047439158006, + -2.3774781265506517, + -2.2632276159058846, + -2.1414912849434193, + -2.014589306754463, + -1.8849162250845555, + -1.7548889491102644, + -1.6268943772879059, + -1.5032378672524194, + -1.3860937468492187, + -1.2774590107453054, + -1.179111268943755, + -1.092571909847745, + -1.0190753138389648, + -0.9595448067653977, + -0.9145758798735272, + -0.884427027564052, + -0.8690183711888914, + -0.8679380504220404, + -0.8804561780896846, + -0.9055459742653044, + -0.9419115253093338, + -0.9880214574943763, + -1.042147676686799, + -1.1024082085883387, + -1.1668130810838233, + -1.233312123503203, + -1.299843518647853, + -1.3643819331237812, + -1.4249850700318039, + -1.4798375348378356, + -1.527290979040199, + -1.5658995851544268, + -1.5944500780220545, + -1.6119855884375898, + -1.6178228520202482, + -1.611562395190321, + -1.5930915368112186, + -1.5625802141115137, + -1.520469820417505, + -1.467455415555148, + -1.4044618332190724, + -1.3326143591097144, + -1.2532047855179858, + -1.1676537590477947, + -1.0774704255957726, + -0.9842104384348197, + -0.889433429800147, + -0.7946610529627112, + -0.7013366803063248, + -0.6107877940145243, + -0.5241920309224851, + -0.44254774385130763, + -0.36664982087523845, + -0.2970713645739058, + -0.23415167895062963, + -0.17799084628484188, + -0.12845100393634182, + -0.0851642564031906, + -0.04754698518430789, + -0.014820152589762764, + 0.01396496020841356, + 0.03989628193692059, + 0.06416657110477784, + 0.08803605337107294, + 0.11279308100959635, + 0.13971387154681086, + 0.17002240798586069, + 0.20485158058173034, + 0.24520661994469453, + 0.2919318140632961, + 0.34568141907739897, + 0.4068955673647379, + 0.475781849392998, + 0.5523031010233482, + 0.6361717691678612, + 0.726851059896946, + 0.8235628985154327, + 0.9253025551800329, + 1.0308596167605837, + 1.138844820226135, + 1.2477221090586006, + 1.3558451359706307, + 1.461497316056819, + 1.562934437493399, + 1.6584287645276485, + 1.7463135216593124, + 1.8250266298478461, + 1.8931525758241707, + 1.9494613339821734, + 1.9929433260072933, + 2.022839494819358, + 2.0386656843713045, + 2.0402306525698592, + 2.0276471977613366, + 2.0013360461059806, + 1.9620223236498204, + 1.910724618647189, + 1.8487368222039458, + 1.7776031140846162, + 1.699086631124015, + 1.615132513863886, + 1.5278261688567778, + 1.4393477059956192, + 1.3519236091766609, + 1.2677767720853483, + 1.1890760770306497, + 1.1178867123375311, + 1.0561224123334185, + 1.005500763641294, + 0.9675026532395969, + 0.9433368391737618, + 0.9339105061634345, + 0.9398065284941979, + 0.9612680048887011, + 0.9981904583369973, + 1.0501219122954297, + 1.116270867649066, + 1.1955220169231973, + 1.2864593479991808, + 1.3873961135259247, + 1.4964109786101172, + 1.6113895122019777, + 1.7300700604546386, + 1.8500929363183247, + 1.9690517812661927, + 2.084545904238024, + 2.1942323808580175, + 2.2958767032558565, + 2.3874008072005326, + 2.4669273678370596, + 2.532819346498089, + 2.5837138865990337, + 2.618549793673327, + 2.636587989796715, + 2.6374245021786873, + 2.620995725409286, + 2.5875758823414854, + 2.537766795327249, + 2.4724802629493086, + 2.392913513029451, + 2.300518366274231, + 2.196964892470916, + 2.084100469101493, + 1.9639052575208311, + 1.838445191929979, + 1.7098236293772577, + 1.580132833718226, + 1.451406462341962, + 1.3255741917189134, + 1.2044195573446357, + 1.0895419970271412, + 0.9823239759189938, + 0.8839039400425281, + 0.7951556956260267, + 0.7166746481229523, + 0.6487711614266595, + 0.591471118857165, + 0.54452358745105, + 0.5074153104140948, + 0.47939158368920265, + 0.45948291563571286, + 0.4465367276905634, + 0.4392532320636224, + 0.4362245229963487, + 0.4359758433096115, + 0.43700793968512563, + 0.4378393995009254, + 0.4370478695158166, + 0.4333090920076995, + 0.425432756155865, + 0.4123942498853515, + 0.3933615077991988, + 0.367716281375351, + 0.3350693049602404, + 0.2952689914941368, + 0.2484034612737819, + 0.1947958810938998, + 0.13499326539564152, + 0.06974906116926105, + 6.675265429218629e-16 + ], + [ + 0, + -0.07428958152193181, + -0.1502052858367831, + -0.22641359719427884, + -0.3015544843448075, + -0.37428186106627154, + -0.44330381309642325, + -0.5074215088155964, + -0.565565743412172, + -0.6168301256635808, + -0.660500001397178, + -0.6960763160317386, + -0.7232937476242712, + -0.7421325883175449, + -0.7528240123178227, + -0.7558485384958759, + -0.7519276711137577, + -0.7420088786084517, + -0.7272442433530457, + -0.70896328048736, + -0.6886405770732507, + -0.6678590400894284, + -0.648269659632862, + -0.6315487891149404, + -0.6193540147629318, + -0.6132797305118318, + -0.6148135502147112, + -0.6252946765236408, + -0.6458753050194327, + -0.6774860741229307, + -0.7208064776119458, + -0.7762410394482852, + -0.8439019129291292, + -0.9235984112756069, + -1.0148338084535673, + -1.1168095714249195, + -1.2284370025294036, + -1.3483560878054004, + -1.4749611683031292, + -1.6064328812607451, + -1.7407756606374496, + -1.8758599458538394, + -2.0094681271993657, + -2.1393431592572565, + -2.26323870232775, + -2.3789696080293603, + -2.4844615501773624, + -2.5777986161252633, + -2.6572677167376133, + -2.7213987440583787, + -2.7689995028771657, + -2.7991845634572505, + -2.81139732476449, + -2.8054247371951204, + -2.7814043071771044, + -2.7398231889073816, + -2.6815093564415897, + -2.6076150378006386, + -2.519592777111363, + -2.419164666564707, + -2.308285452870357, + -2.1891003689411694, + -2.0638986671934676, + -1.935063933039813, + -1.8050223333911968, + -1.6761900034238724, + -1.5509207943306726, + -1.4314555948051852, + -1.319874399858971, + -1.218052233218543, + -1.127619935654217, + -1.0499307134672082, + -0.986033201908749, + -0.9366516409476928, + -0.9021735893997102, + -0.8826454221800072, + -0.8777756687771975, + -0.8869460635305674, + -0.9092299945027428, + -0.9434178621531124, + -0.9880486959041838, + -1.041447230009742, + -1.101765513426118, + -1.1670280247043874, + -1.2351791847376206, + -1.3041321093572575, + -1.3718174214418486, + -1.4362309488413003, + -1.4954791697751348, + -1.5478213304716564, + -1.5917072490296162, + -1.6258099325170594, + -1.6490522683013835, + -1.6606272021460495, + -1.6600109809015329, + -1.646969212516958, + -1.6215556762324141, + -1.584103996687082, + -1.5352124727949048, + -1.4757225212001024, + -1.4066913507454464, + -1.329359624799125, + -1.24511498903609, + -1.155452440399557, + -1.0619325860913291, + -0.9661388877987381, + -0.8696350048768796, + -0.7739233404813008, + -0.6804058570105429, + -0.5903481626895714, + -0.5048477813971728, + -0.4248074052344891, + -0.3509137967402688, + -0.2836228584717064, + -0.22315122569002566, + -0.1694745672372145, + -0.12233260469744617, + -0.08124068504189659, + -0.045507571590754595, + -0.014258956605640222, + 0.013533949761442114, + 0.03902153132864041, + 0.06343946757823217, + 0.08807000319774762, + 0.11420182734634081, + 0.14308964163941942, + 0.1759145052597254, + 0.21374602706611884, + 0.2575074285341458, + 0.3079444289699985, + 0.36559880750153706, + 0.43078737729588723, + 0.5035869692711983, + 0.583825868733378, + 0.6710819827476946, + 0.7646878428219973, + 0.863742371001623, + 0.9671291622122307, + 1.0735408660688484, + 1.1815090916945539, + 1.289439113416544, + 1.3956485272419425, + 1.498408901034558, + 1.5959893780714267, + 1.6867011363194964, + 1.768941575859526, + 1.841237105234565, + 1.9022834242477542, + 1.9509822553036242, + 1.9864735565070197, + 2.008162355468244, + 2.0157394705578304, + 2.0091955330999363, + 1.988827886101663, + 1.9552401086081144, + 1.9093340953792826, + 1.852294804847712, + 1.7855679697029216, + 1.7108312394627117, + 1.6299593886841688, + 1.5449843739456472, + 1.4580511536600635, + 1.3713702938752197, + 1.2871684677259827, + 1.2076380139767648, + 1.1348867496346642, + 1.0708892321222576, + 1.017440637886821, + 0.9761143672174291, + 0.9482244007749757, + 0.9347933239126469, + 0.9365268028988136, + 0.9537951458300411, + 0.9866224139980534, + 1.0346833707999523, + 1.0973083692947372, + 1.1734960907337124, + 1.2619338594227614, + 1.3610250786648408, + 1.468923162682684, + 1.5835711844747684, + 1.7027463232892148, + 1.8241080811311396, + 1.9452491482318024, + 2.063747734879735, + 2.177220152960898, + 2.283372425796315, + 2.380049729503702, + 2.4652825225268287, + 2.53732830085078, + 2.5947080227596597, + 2.636236376180602, + 2.661045210520976, + 2.6685996197926514, + 2.6587063406874094, + 2.631514313791103, + 2.587507443788563, + 2.527489780733476, + 2.4525635246960142, + 2.3641004259681724, + 2.2637073083769663, + 2.153186580365848, + 2.0344927140477695, + 1.9096857636390516, + 1.7808830593846345, + 1.6502102497736006, + 1.5197528727031608, + 1.3915096151756379, + 1.2673483717180944, + 1.1489661353063234, + 1.0378536531275377, + 0.9352656556178104, + 0.842197323998547, + 0.7593675026208386, + 0.687208991796597, + 0.6258660787232795, + 0.5751992830404925, + 0.534797114002682, + 0.5039944626752683, + 0.48189708926594726, + 0.46741151672673814, + 0.4592795107787281, + 0.4561162167364766, + 0.4564509376228784, + 0.45876947814623537, + 0.46155694658443314, + 0.46333990222371185, + 0.462726759763861, + 0.4584454133544236, + 0.44937712030703914, + 0.4345857860237483, + 0.413341914674597, + 0.38514063149900984, + 0.34971333868624493, + 0.3070327336375263, + 0.25731109178621747, + 0.20099189165341225, + 0.1387350329954964, + 0.07139606537088874, + 6.80548373138949e-16 + ], + [ + 0, + -0.07520772324784195, + -0.15144988762618244, + -0.2273711380090368, + -0.3016113702032806, + -0.37284632091488695, + -0.4398273067724614, + -0.5014190412383585, + -0.5566345064894269, + -0.6046659319330617, + -0.644911030071707, + -0.676993761454704, + -0.7007790404192358, + -0.7163809487013478, + -0.7241641908810872, + -0.7247386998062284, + -0.7189474772215604, + -0.7078479303409696, + -0.69268713459647, + -0.6748716119847974, + -0.6559323592631428, + -0.6374859870292752, + -0.6211929362119823, + -0.6087138199775164, + -0.6016649944048639, + -0.6015744890257011, + -0.6098394276798292, + -0.6276860410282333, + -0.6561333151289308, + -0.6959612370473248, + -0.7476844905386385, + -0.8115323250164623, + -0.8874351724710459, + -0.975018423359903, + -1.073603597781148, + -1.1822169667614046, + -1.2996054947269737, + -1.4242597927286118, + -1.5544435972599235, + -1.6882291258925564, + -1.8235375125281565, + -1.9581833955500523, + -2.0899226248003013, + -2.2165019708221263, + -2.335709664297827, + -2.4454255665200217, + -2.543669773803687, + -2.6286484900047613, + -2.698796061066024, + -2.752812152367982, + -2.789693161558023, + -2.8087570937829187, + -2.809661279622334, + -2.7924124848050256, + -2.757369140892487, + -2.705235613162256, + -2.6370486113652536, + -2.5541560362560016, + -2.4581887352392013, + -2.351025809742183, + -2.2347542708818753, + -2.111623974892899, + -1.9839988823297332, + -1.8543057725082734, + -1.7249816048805888, + -1.5984207505786965, + -1.4769233194580393, + -1.3626457805790506, + -1.2575550178685608, + -1.1633868790875994, + -1.081610167257166, + -1.0133968920344323, + -0.9595994474201647, + -0.920735215317367, + -0.8969789159379146, + -0.8881628402360299, + -0.8937849109761422, + -0.9130243323212917, + -0.9447644075080477, + -0.9876219346425785, + -1.0399824360259995, + -1.1000403404382493, + -1.1658431237568188, + -1.2353383238928357, + -1.30642228341328, + -1.3769894388426918, + -1.4449809702593972, + -1.5084316484633893, + -1.5655137690214445, + -1.6145771415179835, + -1.6541842063210992, + -1.6831394774636883, + -1.700512655645181, + -1.7056549162194812, + -1.6982080493145806, + -1.6781063086197243, + -1.6455710074020584, + -1.6010980804452246, + -1.5454390043647594, + -1.4795756318442648, + -1.4046896437230496, + -1.3221274528958045, + -1.2333615024691529, + -1.1399489849139588, + -1.043489067020915, + -0.9455797359341281, + -0.8477753837200701, + -0.7515462218525806, + -0.6582405633920108, + -0.5690509309286218, + -0.48498484462040303, + -0.40684101955584634, + -0.33519155841704557, + -0.270370567663965, + -0.21246945722149332, + -0.16133900920126235, + -0.11659812495529205, + -0.0776489862043646, + -0.043698199505360906, + -0.013783338131838598, + 0.013195844532606525, + 0.03844237720679009, + 0.06322415504293438, + 0.08883416764207282, + 0.11654994112864707, + 0.14759328598186006, + 0.18309143560854016, + 0.2240406260508588, + 0.2712731056117814, + 0.32542847609228825, + 0.386930156950935, + 0.45596763279013075, + 0.5324849964358838, + 0.61617613823703, + 0.7064867611382758, + 0.8026232248932768, + 0.9035680459279994, + 1.0081017063125328, + 1.1148302604344953, + 1.222218075472802, + 1.3286249055280144, + 1.432346382754255, + 1.5316569150489003, + 1.6248539112176095, + 1.7103022128459535, + 1.786477598506398, + 1.8520082408419074, + 1.9057130402141713, + 1.946635828999224, + 1.9740745365867758, + 1.9876045243815215, + 1.987095439719172, + 1.9727210941869755, + 1.9449620415383961, + 1.9046007090393076, + 1.8527091192718168, + 1.7906294226213977, + 1.7199476393439, + 1.6424611798122632, + 1.5601408680528062, + 1.4750883330892095, + 1.3894897514247802, + 1.305567019218443, + 1.2255275019306977, + 1.1515135506552916, + 1.0855529869127785, + 1.029511740977066, + 0.9850497831694959, + 0.9535814140324272, + 0.9362408796211057, + 0.9338541547080117, + 0.946917592446541, + 0.975583977473535, + 1.0196563444558209, + 1.0785897399511393, + 1.1515009166346533, + 1.2371857600336478, + 1.3341440635166937, + 1.4406110918937516, + 1.5545952118769255, + 1.6739207227815962, + 1.7962748967476263, + 1.9192581374559425, + 2.040436092250547, + 2.15739250655215, + 2.2677815925818368, + 2.3693786971029613, + 2.460128094814822, + 2.5381868041547184, + 2.6019634188582637, + 2.650151069316552, + 2.6817537695905855, + 2.696105565419592, + 2.6928820717835253, + 2.6721041713109, + 2.6341338325927612, + 2.579662195685558, + 2.5096902561685983, + 2.4255026545822598, + 2.3286352406462885, + 2.220837227401894, + 2.104028875815481, + 1.9802557524106892, + 1.851640678724844, + 1.7203345400202943, + 1.588467140609027, + 1.4580992839683844, + 1.3311772178523904, + 1.2094905188642924, + 1.0946343991605476, + 0.9879773024543875, + 0.890634520209392, + 0.8034484052979325, + 0.7269755933062533, + 0.6614814652816083, + 0.6069419044438649, + 0.56305221774087, + 0.5292429156297345, + 0.5047018745176935, + 0.48840225007635096, + 0.47913537000557316, + 0.4755477152004553, + 0.4761810015922582, + 0.4795143035391003, + 0.48400711524539775, + 0.4881422303233165, + 0.49046733160443756, + 0.48963422328518985, + 0.48443470436463515, + 0.4738321743554514, + 0.4569881770381026, + 0.43328322263662294, + 0.40233137978128586, + 0.36398829214098377, + 0.3183524464990945, + 0.26575969494740426, + 0.2067712093237601, + 0.1421552165761716, + 0.0728630250817275, + 6.917412759595503e-16 + ], + [ + 0, + -0.07590849469238507, + -0.15224603714898405, + -0.2276467543887334, + -0.3007619951979526, + -0.3703006978806261, + -0.4350682924993012, + -0.4940030873191048, + -0.5462091529826385, + -0.5909848071754893, + -0.6278459149500609, + -0.6565433526333379, + -0.677074133011126, + -0.6896858524850269, + -0.6948742930295044, + -0.6933741886911564, + -0.6861433436010844, + -0.6743404615307176, + -0.6592972115262395, + -0.6424852059299795, + -0.6254787022745198, + -0.6099139556626305, + -0.5974462403658947, + -0.589705626100799, + -0.588252634018479, + -0.5945349087947569, + -0.6098460259564068, + -0.6352875080676865, + -0.6717350506751958, + -0.7198098606979276, + -0.7798558886216193, + -0.8519235943625912, + -0.9357607284657788, + -1.0308104392779642, + -1.1362168371018038, + -1.2508379625240496, + -1.3732659226715656, + -1.5018537806313907, + -1.6347486141145675, + -1.769930003864023, + -1.9052530741937845, + -2.0384950908658026, + -2.1674045282168044, + -2.289751450412491, + -2.403378012656794, + -2.5062478781612403, + -2.596493366009281, + -2.672459193337181, + -2.732741751386327, + -2.7762229571642707, + -2.8020978482425485, + -2.809895234592832, + -2.799490884784316, + -2.771112900375441, + -2.7253391176472554, + -2.663086565438128, + -2.5855931971340924, + -2.4943922992335272, + -2.391280153843775, + -2.2782776937129112, + -2.1575870320179975, + -2.0315438716162046, + -1.9025668968292468, + -1.7731053226751847, + -1.6455858200351967, + -1.522360049488142, + -1.405654021122736, + -1.2975204529321516, + -1.199795227511377, + -1.1140589475066136, + -1.0416044670445592, + -0.9834111322206769, + -0.9401263021809517, + -0.9120545473468301, + -0.899154737188547, + -0.9010450411484241, + -0.9170156774623445, + -0.9460490603292318, + -0.9868468206215587, + -1.0378630133729074, + -1.0973426805461444, + -1.1633648135734942, + -1.2338886598474363, + -1.3068022431210333, + -1.379971921393324, + -1.4512917883663559, + -1.5187317363083175, + -1.5803830387627817, + -1.6345003799183289, + -1.6795393518220938, + -1.7141885585745757, + -1.7373956051922619, + -1.7483864044778754, + -1.7466774040883166, + -1.7320805138125035, + -1.7047006954276789, + -1.664926359853051, + -1.6134128941343326, + -1.5510598096653412, + -1.4789821588089915, + -1.398477005881461, + -1.3109858569021882, + -1.2180540476961998, + -1.1212881595574375, + -1.0223125740786527, + -0.9227262929452145, + -0.8240611342034241, + -0.7277423741885878, + -0.6350528350752606, + -0.5471013237037844, + -0.46479621038248026, + -0.3888247997653255, + -0.3196389931519659, + -0.25744757654157724, + -0.20221529568918567, + -0.15366870265437058, + -0.11130858237807563, + -0.07442859712833479, + -0.042139625539468234, + -0.013399125506304193, + 0.01295527988631239, + 0.03816890362909478, + 0.06353077945255349, + 0.09033318645339747, + 0.11983100346322706, + 0.15320198816689737, + 0.19150905307492724, + 0.23566555998911473, + 0.28640457783588613, + 0.34425294760388575, + 0.4095108751522763, + 0.48223763094730926, + 0.5622437789046754, + 0.6490901884171575, + 0.7420939085709503, + 0.8403408059203481, + 0.9427046914897588, + 1.0478724933524435, + 1.154374872491842, + 1.2606215357167867, + 1.364940373847251, + 1.4656194494285568, + 1.5609507785494836, + 1.6492747980106186, + 1.7290243835345105, + 1.7987672876575878, + 1.8572458974128148, + 1.903413271205604, + 1.936464500012036, + 1.9558625481323886, + 1.9613578605468445, + 1.9530011742291495, + 1.9311491358949309, + 1.8964625045345116, + 1.8498968993685585, + 1.7926862380630353, + 1.7263191915833942, + 1.6525091564492351, + 1.5731584080280197, + 1.4903172458155955, + 1.406139069701754, + 1.3228324317919975, + 1.2426111887792823, + 1.167643933076219, + 1.1000039055412552, + 1.0416205879749847, + 0.9942341396608105, + 0.9593537798324896, + 0.9382211285277036, + 0.9317794039580756, + 0.9406492380326883, + 0.9651117163050291, + 1.0050990781307854, + 1.060193331360598, + 1.1296328478565891, + 1.2123268160895382, + 1.306877239672971, + 1.411607990489434, + 1.524600256457815, + 1.6437335710925074, + 1.7667314785467616, + 1.891210777070403, + 2.014733198449056, + 2.1348583231076073, + 2.2491965015645157, + 2.355460553516246, + 2.451515045989525, + 2.535422010976458, + 2.6054820493116395, + 2.6602698791406643, + 2.6986635214265315, + 2.7198664682583367, + 2.7234223485093465, + 2.7092217855083245, + 2.677501328435003, + 2.628834528558386, + 2.5641154185842274, + 2.4845348337054247, + 2.3915501820707052, + 2.286849426198283, + 2.1723101716411173, + 2.0499548717105824, + 1.9219032445923525, + 1.7903230596667472, + 1.657380481870088, + 1.5251911658029667, + 1.395773265023001, + 1.2710034672906352, + 1.152577084902776, + 1.0419731227491298, + 0.9404251180684376, + 0.848898398316375, + 0.7680742407954125, + 0.6983412438172655, + 0.6397940385161391, + 0.5922392875087676, + 0.5552087359542066, + 0.5279789066844438, + 0.5095968682598462, + 0.49891135707029843, + 0.4946084055875451, + 0.49525052173690276, + 0.49931838170477394, + 0.5052539423232425, + 0.5115038508004451, + 0.516562029623856, + 0.5190103428692694, + 0.5175563061081997, + 0.5110668841392835, + 0.49859752674278185, + 0.47941571984245046, + 0.4530184745991231, + 0.41914333635259066, + 0.3777726649168713, + 0.32913111321206406, + 0.27367640813371463, + 0.21208371143634902, + 0.1452240048405428, + 0.0741370983527616, + 7.010069300183297e-16 + ], + [ + 0, + -0.07638572721680471, + -0.15258678465400125, + -0.22723827606919136, + -0.2990145046150325, + -0.3666687662794963, + -0.42907107161840013, + -0.4852427756481356, + -0.5343871747013492, + -0.5759152322573988, + -0.6094657206461319, + -0.6349192089434808, + -0.6524054857167904, + -0.6623041745439325, + -0.6652384761511717, + -0.6620621491461274, + -0.6538400171586022, + -0.6418224592895836, + -0.6274144988168336, + -0.6121402480941017, + -0.597603591861862, + -0.5854460935754936, + -0.5773031872103598, + -0.5747597682908406, + -0.5793063212421741, + -0.5922967149069339, + -0.6149087642434478, + -0.6481085945873774, + -0.6926197568623975, + -0.7488979298853281, + -0.8171119121487005, + -0.8971314534459468, + -0.9885223101596607, + -1.090548731060764, + -1.202183397433126, + -1.3221246567731368, + -1.4488207077931328, + -1.5805002204934293, + -1.715208712994263, + -1.8508498606856287, + -1.985230786723436, + -2.1161102791609014, + -2.2412488016845145, + -2.358459114030849, + -2.465656296028041, + -2.5609059764603903, + -2.64246960449949, + -2.7088456664617633, + -2.7588058426186595, + -2.7914252155148516, + -2.806105779941235, + -2.8025926620193746, + -2.7809826269754883, + -2.741724637939795, + -2.6856124170593945, + -2.6137691507609873, + -2.527624668501077, + -2.4288856042236113, + -2.3194992176190223, + -2.2016117040463796, + -2.0775219539355128, + -1.9496318314067305, + -1.8203941250714073, + -1.692259379477098, + -1.5676228420823142, + -1.4487727573480575, + -1.337841206602078, + -1.2367586305790723, + -1.1472130824834117, + -1.0706151452441426, + -1.0080693101347789, + -0.9603524584547924, + -0.9278999173221399, + -0.9107993789797814, + -0.9087927848133776, + -0.9212860851072169, + -0.9473665980687367, + -0.9858275113950499, + -1.0351989010201743, + -1.0937844887596813, + -1.1597032270590804, + -1.230934688168724, + -1.3053671494654135, + -1.3808472083468077, + -1.4552297304904256, + -1.5264269349386168, + -1.5924554483639473, + -1.6514802181866963, + -1.7018542584575285, + -1.7421533114236112, + -1.7712046386972917, + -1.7881093056377668, + -1.7922574871775356, + -1.7833364987554987, + -1.7613314378776146, + -1.7265185055847354, + -1.679451258200099, + -1.6209402136662783, + -1.5520263992624441, + -1.473949574510615, + -1.3881119910217627, + -1.2960386567692588, + -1.1993351532391245, + -1.0996441081476886, + -0.9986014526630064, + -0.8977935897435754, + -0.7987165694592212, + -0.7027383088371821, + -0.6110648094238853, + -0.524711217560119, + -0.44447844311975354, + -0.3709359054682541, + -0.3044108144057047, + -0.2449842229654792, + -0.1924939124820809, + -0.14654399279361002, + -0.10652092630128618, + -0.07161551827624449, + -0.040850261487843556, + -0.013111284827699988, + 0.01281596338373893, + 0.03820826329000127, + 0.06436444018270981, + 0.0925645326069183, + 0.12402941174259965, + 0.1598819408892394, + 0.20111072487130568, + 0.24853743316909083, + 0.30278858921997837, + 0.3642726039268743, + 0.43316269683301784, + 0.5093861970652181, + 0.5926205518259917, + 0.6822961970744498, + 0.7776062674478564, + 0.8775229449295905, + 0.9808200727584091, + 1.0861014969844378, + 1.1918344470779514, + 1.2963871329332988, + 1.3980696219104387, + 1.4951769691427363, + 1.5860335095558598, + 1.6690371825950836, + 1.7427027515716527, + 1.8057027991301688, + 1.8569054282084223, + 1.8954076729011302, + 1.9205637240613445, + 1.9320071978513307, + 1.9296668187846264, + 1.9137750485743397, + 1.8848693643936372, + 1.8437860707165175, + 1.7916467132784828, + 1.729837347311035, + 1.6599810905021435, + 1.5839045596810062, + 1.5035989448137523, + 1.4211766106590016, + 1.3388242319326622, + 1.258753559152784, + 1.1831509771523308, + 1.1141270548839826, + 1.0536672926144304, + 1.003585250648995, + 0.9654791928004663, + 0.9406932990927708, + 0.930284397529799, + 0.9349950366646677, + 0.9552335722557297, + 0.9910617760797545, + 1.0421902969928352, + 1.1079821179077913, + 1.187463962027117, + 1.279345412068164, + 1.3820453219634627, + 1.493724926108962, + 1.612326890922976, + 1.7356194111829264, + 1.8612443328005752, + 1.9867681873296115, + 2.109734953924861, + 2.227719323387003, + 2.33837922733117, + 2.4395064136896774, + 2.5290738972480633, + 2.6052791895517022, + 2.6665823144507894, + 2.7117377412750474, + 2.7398195140655925, + 2.7502390188549546, + 2.7427550076748686, + 2.7174756834656333, + 2.6748528398293674, + 2.6156682389816988, + 2.5410125956959457, + 2.45225771001254, + 2.3510224527547012, + 2.2391334515424424, + 2.1185814475633746, + 1.9914743918965352, + 1.859988422346643, + 1.726317905836612, + 1.5926257464244726, + 1.460995144674995, + 1.3333839508677008, + 1.211582683514198, + 1.0971771877258882, + 0.9915167875893819, + 0.8956886459177574, + 0.8104988870953336, + 0.7364608681745752, + 0.6737908041806249, + 0.6224107701993513, + 0.5819589198311729, + 0.5518065815264004, + 0.5310817255875216, + 0.518698139396551, + 0.5133895105227417, + 0.5137475001691718, + 0.5182627957844157, + 0.5253680638622188, + 0.5334816835930435, + 0.5410511300433031, + 0.5465948921368549, + 0.5487418553992496, + 0.5462671509973025, + 0.5381235691920221, + 0.5234677544260498, + 0.5016805378310004, + 0.47238091742563404, + 0.4354333627482425, + 0.39094829489572214, + 0.33927577050810087, + 0.2809925746419809, + 0.21688309825487004, + 0.14791453685552883, + 0.07520709369811895, + 7.082637558517263e-16 + ], + [ + 0, + -0.07663523477398763, + -0.15246925751476625, + -0.2261497094422779, + -0.29638521668618356, + -0.3619842601911236, + -0.4218913816272525, + -0.4752197443909984, + -0.5212791622516683, + -0.5595988245834578, + -0.5899440834873527, + -0.6123268210156845, + -0.6270090803066674, + -0.634499818537044, + -0.635544817809482, + -0.6311099679006879, + -0.6223583077038835, + -0.6106213758198944, + -0.597365570926524, + -0.5841543554591285, + -0.5726072483670577, + -0.5643566413844519, + -0.5610035360691346, + -0.564073334163359, + -0.5749728206444101, + -0.5949494569024235, + -0.6250540512667067, + -0.6661077967682946, + -0.7186745634233025, + -0.7830392069319699, + -0.8591925105692393, + -0.9468232157503236, + -1.045317423255935, + -1.1537654656769747, + -1.2709761667741226, + -1.3954982197273833, + -1.5256482382385954, + -1.6595448665802883, + -1.795148181149, + -1.9303034807265662, + -2.0627884488834836, + -2.1903625826518422, + -2.3108177190307218, + -2.4220284566867893, + -2.5220012653032247, + -2.608921099615599, + -2.6811943887317113, + -2.7374873526266343, + -2.7767587048116393, + -2.798285930535486, + -2.801684480351344, + -2.7869193858361205, + -2.7543089836344437, + -2.7045206214598188, + -2.6385584106594955, + -2.5577432797850963, + -2.463685767678808, + -2.358252168392882, + -2.243524799563999, + -2.1217573067720363, + -1.9953260354809608, + -1.866678596478392, + -1.7382808179935265, + -1.6125633162379835, + -1.491868925038892, + -1.378402204302752, + -1.2741821967774725, + -1.1809995242012896, + -1.1003788093625833, + -1.0335472824038097, + -0.9814102810251553, + -0.944534188715434, + -0.9231371768076333, + -0.9170879293812242, + -0.9259123393733646, + -0.9488079743667035, + -0.9846659260188695, + -1.0320994824757528, + -1.0894789026070093, + -1.1549714284041237, + -1.2265855508278236, + -1.3022184476882064, + -1.3797054420904487, + -1.4568702882243947, + -1.531575078760925, + -1.6017685850643177, + -1.6655318873328349, + -1.7211202254230549, + -1.7670001005975247, + -1.801880781228069, + -1.8247395084853248, + -1.8348398576534022, + -1.8317428829289868, + -1.8153108540947693, + -1.7857035778009671, + -1.7433674797635579, + -1.6890178024420264, + -1.6236144412829412, + -1.5483320972511083, + -1.4645255603140628, + -1.373691054444488, + -1.2774246667357856, + -1.1773789491673803, + -1.075218819841976, + -0.9725779002748688, + -0.8710164063872358, + -0.7719816638008168, + -0.6767722441120231, + -0.5865066199719432, + -0.5020971155675128, + -0.42422978859856564, + -0.35335072366357173, + -0.28965904907963136, + -0.23310681383473197, + -0.18340568304781593, + -0.1400402335110994, + -0.10228746008180775, + -0.06924194319470027, + -0.03984598163690896, + -0.012923866652429252, + 0.012780633341988881, + 0.03856459094960259, + 0.06572511114327233, + 0.09551849524188162, + 0.12912047795981688, + 0.16758861067891961, + 0.2118278092073493, + 0.26256000319709366, + 0.32029871913276875, + 0.38532930203, + 0.4576953358872018, + 0.5371916631786244, + 0.6233642332903518, + 0.7155168330873027, + 0.8127245742248279, + 0.913853835902209, + 1.0175881929549775, + 1.122459701783755, + 1.2268847746247304, + 1.329203749704826, + 1.427723164046527, + 1.5207596596947328, + 1.6066844049157039, + 1.6839668907843004, + 1.7512169711468772, + 1.8072240501232255, + 1.850992385275622, + 1.8817715648138083, + 1.8990813315496184, + 1.9027300619850507, + 1.8928263625962847, + 1.8697834132901823, + 1.834315866022723, + 1.787429290283561, + 1.730402342018312, + 1.6647620139922472, + 1.5922524990819198, + 1.5147983591893912, + 1.4344628373746053, + 1.3534022757586075, + 1.2738177036128713, + 1.1979047362313522, + 1.127802973725245, + 1.0655461085066955, + 1.0130139403710092, + 0.971887458905148, + 0.9436080853263294, + 0.9293420713732041, + 0.9299509337813048, + 0.9459686620328547, + 0.9775862778751737, + 1.0246441514056757, + 1.0866322945393931, + 1.1626986628802467, + 1.2516653060304788, + 1.3520520188493255, + 1.4621069666863076, + 1.579843590548736, + 1.703082947597456, + 1.8295005119785979, + 1.9566763539790029, + 2.0821475344550104, + 2.2034614984088705, + 2.3182292277703422, + 2.424176919463903, + 2.519194990553582, + 2.601383276781195, + 2.6690913825677924, + 2.7209532572846284, + 2.755915211460484, + 2.7732567441783593, + 2.772603725372377, + 2.753933659849195, + 2.7175729491550555, + 2.66418625827014, + 2.594758281883526, + 2.5105683851137037, + 2.4131587616139516, + 2.3042969039635683, + 2.1859333134208745, + 2.060155485320306, + 1.9291392900213773, + 1.7950989253828902, + 1.6602366439448883, + 1.5266934557682335, + 1.3965019763496325, + 1.2715425290620674, + 1.1535035247290528, + 1.0438470294497457, + 0.9437802984765202, + 0.8542339021670344, + 0.7758469035981023, + 0.7089593705011726, + 0.6536123211726866, + 0.6095550194801134, + 0.5762593526079375, + 0.5529408512616012, + 0.5385857499686146, + 0.531983338877473, + 0.5317627316462932, + 0.5364330697321195, + 0.5444261041685282, + 0.5541400436530607, + 0.5639835336799792, + 0.5724186360646415, + 0.5780017113120041, + 0.5794211669695523, + 0.5755311217725482, + 0.5653801457868123, + 0.5482343680410331, + 0.5235943919571607, + 0.49120562143975344, + 0.451061772639829, + 0.4034015237966945, + 0.3486984336877027, + 0.28764443357224606, + 0.22112736369370495, + 0.1502031792022841, + 0.07606358789859576, + 7.134478006290146e-16 + ], + [ + 0, + -0.07665486491786405, + -0.15189470944551425, + -0.22439123095888078, + -0.2928985068667083, + -0.35629059792267165, + -0.41359591461223166, + -0.46402741367983497, + -0.5070077991496708, + -0.5421890308255973, + -0.5694655899883083, + -0.5889811131375189, + -0.6011281760854352, + -0.6065411881627714, + -0.6060825352623932, + -0.600822286387531, + -0.5920119468309002, + -0.5810528978098263, + -0.5694603033315621, + -0.5588233866631284, + -0.550763077911847, + -0.5468881083254572, + -0.5487506740568, + -0.5578028110424085, + -0.5753546127567392, + -0.6025353840838023, + -0.6402587582720143, + -0.6891927114784611, + -0.7497352929954235, + -0.8219967517180333, + -0.9057885841236044, + -1.0006198598072362, + -1.1057010016272728, + -1.2199550131833787, + -1.34203596124778, + -1.470354339494325, + -1.603108766934165, + -1.738323314187531, + -1.8738896071110287, + -2.007612733967403, + -2.137259882384105, + -2.260610558340389, + -2.3755071932560528, + -2.4799049281510426, + -2.5719193763101855, + -2.64987120770074, + -2.7123264686054496, + -2.7581316469037134, + -2.786442614848573, + -2.7967467241329045, + -2.7888774890651096, + -2.763021468883966, + -2.7197171453809084, + -2.6598457825635897, + -2.58461444644544, + -2.495531550516545, + -2.394375471465786, + -2.2831569459104344, + -2.164076108185888, + -2.0394751580040116, + -1.9117877518547532, + -1.7834862908305362, + -1.6570283281686076, + -1.5348033409932467, + -1.4190811019790726, + -1.311962848162759, + -1.2153363768452812, + -1.1308361040970598, + -1.059809002114162, + -1.00328719049311, + -0.9619677968463873, + -0.9362005279734283, + -0.9259832082880471, + -0.9309653518877647, + -0.9504596431755711, + -0.9834610129760432, + -1.0286728171996273, + -1.0845394576716152, + -1.1492846338143365, + -1.2209542831004059, + -1.2974631607277727, + -1.3766439273738675, + -1.4562975600945585, + -1.5342438766861421, + -1.608370968649797, + -1.6766823720834783, + -1.7373408684492888, + -1.788707896597876, + -1.8293776713919496, + -1.8582052398729172, + -1.874327859745393, + -1.877179253157496, + -1.8664964671274114, + -1.842319256063684, + -1.8049820870706497, + -1.755099050527132, + -1.6935421322765727, + -1.621413465379328, + -1.5400123247754882, + -1.4507977538241212, + -1.355347814457606, + -1.2553165301285212, + -1.152389640979229, + -1.0482403125608453, + -0.9444859325085281, + -0.8426470941053844, + -0.7441098026115135, + -0.6500918512603208, + -0.5616142012394504, + -0.4794780666733785, + -0.40424825501929096, + -0.3362431492149845, + -0.27553154454821815, + -0.2219363749488394, + -0.17504518475387745, + -0.13422702748087667, + -0.09865530717716123, + -0.06733592468351504, + -0.0391399545275226, + -0.012839961590836717, + 0.012851026884654485, + 0.03923894661538049, + 0.0676076127415483, + 0.09917823431310833, + 0.13507061828548453, + 0.1762671110821317, + 0.22358025539566523, + 0.2776250443351678, + 0.33879653669377047, + 0.40725345899202553, + 0.48290826553365745, + 0.5654239608888414, + 0.6542178142097629, + 0.7484719160077278, + 0.8471503500038363, + 0.9490225799161829, + 1.052692487948593, + 1.1566323524457305, + 1.2592209204832805, + 1.358784620439565, + 1.4536408726955103, + 1.5421423957898015, + 1.622721372221565, + 1.6939323335598628, + 1.7544926487884915, + 1.803319552366769, + 1.8395627280940656, + 1.8626315696206417, + 1.8722163658109046, + 1.8683028060278724, + 1.851179363167008, + 1.8214372869165394, + 1.7799631219476413, + 1.727923851030547, + 1.6667449468344442, + 1.5980817938301377, + 1.5237851088455443, + 1.4458611412482665, + 1.3664275676232744, + 1.2876661078066038, + 1.2117729763891736, + 1.140908344088993, + 1.0771460151345715, + 1.022424529140308, + 0.9785008687431547, + 0.9469078980934021, + 0.9289165734524781, + 0.9255038576309288, + 0.9373271374204908, + 0.9647057907274691, + 1.0076103814853703, + 1.0656597797018619, + 1.1381263155697634, + 1.2239488850300335, + 1.3217537341844239, + 1.4298824661521399, + 1.5464266408355, + 1.6692681798349152, + 1.7961246493012704, + 1.9245983762445473, + 2.0522282616003427, + 2.1765430884474353, + 2.295115087759344, + 2.4056125178410994, + 2.5058500373034316, + 2.593835704479566, + 2.667813517296656, + 2.726300514789955, + 2.768117592071001, + 2.792413331437097, + 2.7986803197485326, + 2.7867636021116895, + 2.756861109896035, + 2.709516092593468, + 2.645601773331333, + 2.5662986323411827, + 2.4730648968782907, + 2.367600975754043, + 2.251808717920385, + 2.127746494023846, + 1.9975811946604254, + 1.8635383069548022, + 1.72785127046859, + 1.5927113234266137, + 1.4602190306760383, + 1.3323386362296916, + 1.2108563069716132, + 1.0973432320819256, + 0.9931244175621778, + 0.8992538700701993, + 0.8164967027512648, + 0.7453185219218512, + 0.6858822716619047, + 0.6380525281256472, + 0.6014070512901968, + 0.5752552234866075, + 0.5586628358080066, + 0.5504825295113714, + 0.5493890636061353, + 0.5539184652794926, + 0.562510029430389, + 0.5735500695491473, + 0.5854162860032884, + 0.5965216102896075, + 0.6053564050877697, + 0.6105279493819574, + 0.6107962141818359, + 0.6051050354808173, + 0.5926079144284487, + 0.572687817102102, + 0.5449705041054744, + 0.5093310894808338, + 0.46589370480069114, + 0.41502432333174216, + 0.35731697630791, + 0.2935737641309728, + 0.2247792254218678, + 0.15206977223130408, + 0.07669902671666334, + 7.165134511644309e-16 + ], + [ + 0, + -0.07644452976551071, + -0.15086852879596005, + -0.22197911898388314, + -0.28858661126214114, + -0.34964050868627733, + -0.4042617243114531, + -0.4517701372919218, + -0.49170673088752226, + -0.5238496958998683, + -0.5482240389499752, + -0.5651044030114666, + -0.5750109834834465, + -0.5786986023767955, + -0.577139181358568, + -0.5714980269358438, + -0.5631045035833258, + -0.5534178189947807, + -0.5439887760830385, + -0.5364184555275379, + -0.5323148777617336, + -0.5332487520940605, + -0.5407094516101648, + -0.5560623547505325, + -0.5805086678538798, + -0.615048788082191, + -0.6604501842862247, + -0.7172206664961887, + -0.7855877854260335, + -0.8654849548220024, + -0.9565447253148727, + -1.0580994626965061, + -1.169189500578084, + -1.28857865173265, + -1.4147767786888545, + -1.5460689468990605, + -1.6805505174759867, + -1.8161673852392446, + -1.9507604354336976, + -2.0821131823133636, + -2.2080014676227706, + -2.3262440390347106, + -2.4347527993338067, + -2.531581517378163, + -2.6149718217074267, + -2.683395356447085, + -2.7355910655212576, + -2.7705966830843813, + -2.787773642837284, + -2.786824773259898, + -2.767804316038046, + -2.731119986956262, + -2.6775269878485863, + -2.608114070235318, + -2.524281941343553, + -2.427714486674309, + -2.3203434556570617, + -2.2043074140096057, + -2.081905904354901, + -1.955549872060472, + -1.8277095033342468, + -1.7008606851253918, + -1.5774313298075524, + -1.4597488111427734, + -1.3499897315482559, + -1.2501331848597206, + -1.1619185949678807, + -1.086809100946494, + -1.025961326273925, + -0.9802022167261931, + -0.9500134622261134, + -0.9355238365056792, + -0.9365095993053144, + -0.9524029136078512, + -0.9823080397716438, + -1.0250248840267953, + -1.0790793051133307, + -1.142759424084223, + -1.2141570423109331, + -1.2912131548904233, + -1.371766453786116, + -1.453603649350013, + -1.5345104019047695, + -1.6123216476408158, + -1.6849701253032905, + -1.75053196137533, + -1.8072682503638715, + -1.8536616713369596, + -1.8884473093962209, + -1.9106369980797113, + -1.9195366620838268, + -1.9147563150829385, + -1.8962125504397551, + -1.864123548686476, + -1.818996810199423, + -1.7616099999201476, + -1.6929854588873428, + -1.6143590906018295, + -1.5271444650898882, + -1.4328930966634892, + -1.3332519400523888, + -1.229919211670636, + -1.1245996768141202, + -1.0189605488049003, + -0.9145891224609545, + -0.812953212457322, + -0.7153653885389278, + -0.6229518961976158, + -0.5366270260024582, + -0.45707355048726145, + -0.3847296880348987, + -0.31978288261067545, + -0.2621705108166634, + -0.21158744805957824, + -0.1675002481928162, + -0.12916752029253226, + -0.09566592656859625, + -0.06592108082170223, + -0.03874250098360649, + -0.01286166529000978, + 0.013027857846328634, + 0.04022928917075141, + 0.07000163517724153, + 0.10351990667232298, + 0.14183763232080918, + 0.18585268089445503, + 0.23627732057668777, + 0.29361333438342685, + 0.3581328803004312, + 0.42986563640512704, + 0.5085926087814127, + 0.5938468075540347, + 0.6849208182252242, + 0.7808811161976718, + 0.8805887964557684, + 0.982726222312965, + 1.0858289411868465, + 1.18832207550623, + 1.2885602766593913, + 1.384870232443687, + 1.4755946462933178, + 1.5591365615330084, + 1.6340028872425425, + 1.6988459945236707, + 1.7525022928176763, + 1.7940267644924492, + 1.8227225305703891, + 1.8381646389154647, + 1.84021740555294, + 1.82904479664341, + 1.8051135091150936, + 1.7691885878673752, + 1.7223216023422812, + 1.6658315905331202, + 1.6012791595547, + 1.530434304225721, + 1.4552386644050528, + 1.377763084088732, + 1.3001614569338067, + 1.224621940853903, + 1.1533166961311991, + 1.0883513452577223, + 1.0317153672888373, + 0.9852346244173494, + 0.9505271740425447, + 0.9289634468230672, + 0.921631771776529, + 0.9293101057909934, + 0.9524446799150945, + 0.9911361119948815, + 1.0451333585693332, + 1.1138356927128887, + 1.1963027032528146, + 1.2912721191518726, + 1.397185075507356, + 1.5122182591512225, + 1.634322206603212, + 1.7612648791711583, + 1.8906795129302674, + 2.02011563825691, + 2.147092087066999, + 2.269150757790084, + 2.3839098895795954, + 2.489115608772646, + 2.5826905518921843, + 2.6627784395222753, + 2.727783572472819, + 2.776404343410699, + 2.8076600005942933, + 2.820910062002426, + 2.8158659540475193, + 2.7925946349120094, + 2.7515141538113865, + 2.693381289503229, + 2.6192715994522406, + 2.5305523906509, + 2.4288492898226814, + 2.316007240559105, + 2.1940468842443948, + 2.0651173872907265, + 1.9314468567191159, + 1.7952915375968133, + 1.658885008097121, + 1.524388580517084, + 1.3938440797390454, + 1.2691301053459623, + 1.1519227915860906, + 1.0436619629761998, + 0.9455234454762351, + 0.8583981373279761, + 0.782878273728175, + 0.719251139744584, + 0.6675003007578032, + 0.627314233820735, + 0.5981020612780724, + 0.5790159142817614, + 0.5689792927585072, + 0.5667206438924134, + 0.5708112568188636, + 0.5797064700151106, + 0.5917891122656961, + 0.6054140498807038, + 0.6189526931684127, + 0.6308363244134514, + 0.6395971474664476, + 0.643906024476453, + 0.6426059565706904, + 0.6347404800414292, + 0.6195762848875359, + 0.5966195149192492, + 0.5656253741874823, + 0.5266008390371513, + 0.47980045418187633, + 0.42571537032027673, + 0.365055955432873, + 0.2987284776023144, + 0.22780650980598888, + 0.15349784279014247, + 0.07710780742936263, + 7.174339672743204e-16 + ], + [ + 0, + -0.07600621652334698, + -0.14940020569176737, + -0.2189356245750217, + -0.2834893509153016, + -0.3420955649437893, + -0.3939755274526465, + -0.4385622418319183, + -0.47551932003632424, + -0.5047535223412334, + -0.5264206044923636, + -0.5409242793105261, + -0.5489082785937236, + -0.5512416807386948, + -0.5489978453323687, + -0.5434274635796671, + -0.5359263885777341, + -0.5279990481658171, + -0.5212183618298247, + -0.5171831788722113, + -0.5174743252956745, + -0.5236103897531219, + -0.5370043933287671, + -0.5589224733904802, + -0.5904456685702134, + -0.6324358210842175, + -0.6855065157887686, + -0.7499998549242689, + -0.825969726370242, + -0.9131720648784297, + -1.0110624340708885, + -1.1188010762257834, + -1.2352653915024068, + -1.3590696228811106, + -1.4885913423254469, + -1.6220041620223886, + -1.757315936313855, + -1.8924115790690899, + -2.0250995013099073, + -2.153160577926388, + -2.2743984827593704, + -2.3866901899797317, + -2.4880354276710572, + -2.576603887207256, + -2.6507790390629653, + -2.7091974810297, + -2.75078284666261, + -2.7747734277225575, + -2.780742811379801, + -2.7686129974588987, + -2.7386596390433686, + -2.6915092369981215, + -2.6281283108507565, + -2.549804760322059, + -2.4581218189293983, + -2.3549251789323034, + -2.2422840310986905, + -2.122446909324611, + -1.9977933554511247, + -1.8707825206181952, + -1.7438998936999184, + -1.619603392956648, + -1.5002700728944771, + -1.3881446840478902, + -1.2852912793395923, + -1.1935489878953474, + -1.1144929774761994, + -1.0494015024696097, + -0.9992297886886605, + -0.9645913426212114, + -0.9457470952439464, + -0.9426026034011065, + -0.954713339608955, + -0.9812979086672241, + -1.021258841324871, + -1.0732104360344703, + -1.1355129538887205, + -1.20631232318343, + -1.2835843822847919, + -1.3651825856663926, + -1.4488880206034958, + -1.5324605328939473, + -1.613689740245218, + -1.6904447220291554, + -1.7607212136291615, + -1.8226852015344386, + -1.874711909919119, + -1.915419288275054, + -1.9436952497457878, + -1.9587180676190912, + -1.9599695090281446, + -1.94724046600793, + -1.9206290301481854, + -1.8805311435588465, + -1.8276241411009249, + -1.7628436723330958, + -1.6873546521074116, + -1.6025170322746292, + -1.5098473100192515, + -1.4109767879419124, + -1.30760767473853, + -1.2014681614369969, + -1.0942676255814354, + -0.9876531041563432, + -0.8831681357996989, + -0.7822150050604962, + -0.6860213278950428, + -0.5956118006904424, + -0.5117857978570826, + -0.43510134895150016, + -0.36586585930079735, + -0.30413376244078655, + -0.24971111280433522, + -0.2021669475563192, + -0.16085107180426214, + -0.12491775602921278, + -0.09335468265095259, + -0.06501634399434894, + -0.03866097995043742, + -0.012990053194526804, + 0.013310804792280065, + 0.0415304808300773, + 0.07289181301803264, + 0.10851286255255269, + 0.1493710695036017, + 0.196271262949315, + 0.24981839617462237, + 0.310395755487999, + 0.3781492496879981, + 0.45297822989371694, + 0.5345331203171031, + 0.622219963876611, + 0.7152118068016065, + 0.812466668107232, + 0.9127516675498434, + 1.0146727237779625, + 1.1167090869917686, + 1.217251841275861, + 1.314645404182899, + 1.4072309678901627, + 1.4933907694923525, + 1.571592049235492, + 1.6404295555428108, + 1.6986654846180578, + 1.745265799595065, + 1.77943195828678, + 1.800627187548665, + 1.8085965734604166, + 1.8033803867356848, + 1.7853202282989642, + 1.7550577567391197, + 1.713525942987393, + 1.6619329835204504, + 1.6017391870345052, + 1.5346273262997707, + 1.4624671123711643, + 1.387274598356724, + 1.3111674507602549, + 1.2363171347158548, + 1.1648991424675075, + 1.0990424500841802, + 1.0407794141802984, + 0.9919973175840149, + 0.9543927404414168, + 0.9294298718766117, + 0.9183037884710363, + 0.9219096115876981, + 0.9408183186833607, + 0.9752598275217786, + 1.0251138004040097, + 1.0899084323357067, + 1.168827296911125, + 1.2607241312404585, + 1.364145251175809, + 1.477359105042133, + 1.5983923025278872, + 1.7250712995312725, + 1.855068783408261, + 1.9859536895676266, + 2.1152436924886824, + 2.2404589541556548, + 2.359175882085279, + 2.469079648331767, + 2.5680142501111534, + 2.6540289512858815, + 2.725420030461466, + 2.780766873759324, + 2.818961585701271, + 2.8392314467660893, + 2.841153717269354, + 2.824662470098224, + 2.790047325041376, + 2.7379441503526882, + 2.6693179880765943, + 2.585438643897796, + 2.487849555381397, + 2.3783307102432425, + 2.258856524917179, + 2.1315497098249137, + 1.9986322386202988, + 1.8623746021143497, + 1.7250445621082244, + 1.5888566252005074, + 1.4559234317565728, + 1.32821020132548, + 1.2074932942729009, + 1.0953238423530323, + 0.9929972710788176, + 0.9015293873376489, + 0.8216395404825023, + 0.7537411882328259, + 0.6979400145517786, + 0.6540395598022866, + 0.6215541385567386, + 0.5997286420173649, + 0.5875646544988649, + 0.583852160952305, + 0.5872059888080231, + 0.5961060157482866, + 0.6089400880952376, + 0.6240485344017557, + 0.6397691269747728, + 0.6544813411475922, + 0.6666487881314086, + 0.6748587514758232, + 0.6778578381101122, + 0.6745828605115692, + 0.6641861940328359, + 0.6460549995506146, + 0.6198238626464937, + 0.5853805724014352, + 0.5428649412185009, + 0.49266074736736737, + 0.4353810596098617, + 0.3718473738307942, + 0.3030631507584381, + 0.2301824876013856, + 0.15447478113189198, + 0.07728634227113072, + 7.162018293862331e-16 + ], + [ + 0, + -0.07534397739993655, + -0.14750325821435195, + -0.21528878229318166, + -0.2776537794926993, + -0.33372562486222607, + -0.3828329061252835, + -0.4245269628263038, + -0.45859729968512586, + -0.4850804354054816, + -0.5042619184069613, + -0.5166714183861296, + -0.5230709827699805, + -0.5244367254395584, + -0.5219343870508043, + -0.5168893674960098, + -0.5107519774297502, + -0.5050587835923184, + -0.5013910286275893, + -0.501331187480556, + -0.5064187771550042, + -0.518106563162708, + -0.5377183036542729, + -0.5664091409634575, + -0.6051296908210412, + -0.6545947932085846, + -0.7152577778080844, + -0.7872909639645623, + -0.870572963275355, + -0.9646831860882434, + -1.068903775449908, + -1.1822290077971764, + -1.3033820134988092, + -1.4308384868669628, + -1.562856879039404, + -1.6975144025916258, + -1.832748027996329, + -1.9663995228489395, + -2.0962634783874776, + -2.220137186961213, + -2.3358711808270036, + -2.441419218378552, + -2.534886509331465, + -2.6145750054528065, + -2.679024647362882, + -2.7270495492600775, + -2.7577682199593374, + -2.7706270575987824, + -2.765416513407014, + -2.7422794932109253, + -2.7017117496940473, + -2.6445542093043977, + -2.571977370506973, + -2.4854581000744393, + -2.38674933666862, + -2.2778433816203507, + -2.1609296113890215, + -2.038347580888948, + -1.9125365984047449, + -1.7859829384448322, + -1.6611659164963748, + -1.5405040778278636, + -1.426302750537016, + -1.320704181001229, + -1.225641408529846, + -1.1427969468351504, + -1.0735672251060133, + -1.0190336037853922, + -0.9799406229805241, + -0.9566819686071824, + -0.949294457103965, + -0.9574601483422751, + -0.9805165028633157, + -1.0174743085069327, + -1.0670429175068317, + -1.1276621626820764, + -1.1975401646374448, + -1.2746961046849759, + -1.3570069238228488, + -1.4422568192958767, + -1.5281883491245536, + -1.6125539229518067, + -1.6931664553270742, + -1.767947985099898, + -1.8349751211705603, + -1.8925202589721306, + -1.9390876215880175, + -1.9734433115728958, + -1.994638711019814, + -2.00202673441137, + -1.9952706171406756, + -1.974345107850715, + -1.93953012031902, + -1.891397085862247, + -1.8307884255744846, + -1.758790728747678, + -1.6767023754470067, + -1.5859964737148646, + -1.488280092024407, + -1.3852508527307752, + -1.2786520103373478, + -1.1702271680456944, + -1.0616757866436792, + -0.9546106113838307, + -0.8505180859158459, + -0.7507227390664079, + -0.6563564224749789, + -0.5683331475723914, + -0.48733012244680696, + -0.4137754265499525, + -0.3478425880885815, + -0.28945214971142313, + -0.23828012727717116, + -0.19377308864524564, + -0.15516940905730592, + -0.12152610107072406, + -0.0917504741612596, + -0.06463575562672999, + -0.038899703402029605, + -0.013225165376073022, + 0.013698509310208103, + 0.043134322480737355, + 0.07625785047189634, + 0.11411991069471487, + 0.15761267923175318, + 0.20744017790723135, + 0.2640939360368127, + 0.3278344980446231, + 0.3986792967183344, + 0.4763972468871258, + 0.5605102399253439, + 0.6503015401193296, + 0.7448309041283852, + 0.8429560690809123, + 0.9433600877322775, + 1.0445838348206635, + 1.145062871222428, + 1.2431677352451624, + 1.337246636416609, + 1.4256694588618921, + 1.5068719406007858, + 1.5793988829438, + 1.6419452610083323, + 1.6933941518759659, + 1.7328504700121927, + 1.7596695985208564, + 1.7734801272072651, + 1.7742000512848362, + 1.7620459443714218, + 1.737534792243083, + 1.7014783553719839, + 1.6549701140705328, + 1.5993650354792333, + 1.536252582053535, + 1.4674235521212176, + 1.3948315002184672, + 1.32054962432346, + 1.2467241252769383, + 1.1755251376127882, + 1.1090963983158975, + 1.049504858931356, + 0.9986914559184351, + 0.9584242338505912, + 0.93025496641865, + 0.9154803423347603, + 0.9151086789925309, + 0.9298329986020274, + 0.9600111525677106, + 1.0056535137112328, + 1.066418576587471, + 1.1416166179597624, + 1.230221377071199, + 1.3308895233653828, + 1.4419874924605869, + 1.561625094032253, + 1.687695132145515, + 1.8179181334950787, + 1.9498911555111544, + 2.081139547406024, + 2.2091704653947954, + 2.3315269002932717, + 2.445840962538138, + 2.5498851867211547, + 2.641620664571377, + 2.719240890820919, + 2.7812103087106204, + 2.8262966685375455, + 2.853596460526442, + 2.8625528488137166, + 2.8529657124266805, + 2.8249935874543035, + 2.7791474975474837, + 2.7162768527558274, + 2.6375477848097035, + 2.544414465717882, + 2.438584121633355, + 2.321976601345272, + 2.196679484923564, + 2.0648998199423287, + 1.9289136479053133, + 1.7910145302193177, + 1.653462300238556, + 1.5184332551928574, + 1.3879729596095516, + 1.2639527612610435, + 1.1480310235337678, + 1.0416199568858888, + 0.9458587897954862, + 0.8615938598671323, + 0.7893660325536381, + 0.7294056725775014, + 0.6816352061362292, + 0.6456791249840637, + 0.6208811011264419, + 0.6063277076433126, + 0.600878081337621, + 0.6031987204072429, + 0.6118024886449039, + 0.6250907997385495, + 0.641397883433649, + 0.65903599133309, + 0.6763403849564805, + 0.6917129626447162, + 0.7036634245361554, + 0.7108469450012752, + 0.7120974177613033, + 0.7064554579523953, + 0.6931904845745489, + 0.6718163625280609, + 0.6421002518256196, + 0.6040644883003159, + 0.5579815007317036, + 0.5043619492155511, + 0.4439364442635919, + 0.3776313711308187, + 0.3065394950701596, + 0.23188615680000813, + 0.15499198007799092, + 0.0772331020742551, + 7.128288962184838e-16 + ], + [ + 0, + -0.07446389894136872, + -0.1451951182393137, + -0.2110721627771047, + -0.27113375771111387, + -0.32460819026841053, + -0.3709374189917346, + -0.40979528823400496, + -0.44109933860414435, + -0.4650158702475737, + -0.48195809110274124, + -0.49257736217256914, + -0.4977477318293125, + -0.49854412666941306, + -0.49621473299593655, + -0.4921482563944468, + -0.4878368831739877, + -0.48483588318300097, + -0.484720885707006, + -0.48904392642424227, + -0.4992894019978878, + -0.5168310787710049, + -0.5428912828735715, + -0.578503351247884, + -0.6244783477658451, + -0.6813769475573356, + -0.749487268348479, + -0.828809283064665, + -0.9190462867400792, + -1.0196037168716832, + -1.129595444065095, + -1.2478574636654967, + -1.3729687336779428, + -1.5032787242791619, + -1.6369410741048722, + -1.7719525925246573, + -1.9061967092114598, + -2.0374903559555686, + -2.1636331738182544, + -2.282457873721716, + -2.3918805421237668, + -2.489949676518861, + -2.5748927584042156, + -2.645159223578042, + -2.6994587699973556, + -2.736794050021002, + -2.7564869241533514, + -2.758197604251722, + -2.741936181919801, + -2.708066218411952, + -2.657300261428244, + -2.590687347082346, + -2.5095927373672247, + -2.4156703299359212, + -2.3108283533947516, + -2.1971891232566563, + -2.077043777253958, + -1.9528030303415846, + -1.8269450864471541, + -1.7019619134642259, + -1.5803051284288472, + -1.4643327502638408, + -1.3562580576533718, + -1.2581017399943346, + -1.171648451163892, + -1.098408770946342, + -1.0395874499328406, + -0.9960586636901161, + -0.9683488346474336, + -0.9566273995560888, + -0.9607057109353361, + -0.9800440672502281, + -1.0137666733869202, + -1.060684145000513, + -1.119322992078492, + -1.1879613529142208, + -1.2646701035942423, + -1.347358343597208, + -1.4338221581727715, + -1.5217954852011952, + -1.6090018699465658, + -1.6932058765209475, + -1.7722629402525756, + -1.8441664900412673, + -1.907091243005346, + -1.9594316733983106, + -1.9998347813742727, + -2.0272264315975246, + -2.0408306933063334, + -2.0401817882191207, + -2.025128436261885, + -1.995830576939957, + -1.9527486316208835, + -1.8966256544046975, + -1.8284628921346597, + -1.7494894331943056, + -1.661126766144941, + -1.564949189529983, + -1.4626411103897887, + -1.3559523388786845, + -1.2466525282024616, + -1.1364859219484438, + -1.0271275545345102, + -0.9201420054605183, + -0.8169457355221993, + -0.7187739350457829, + -0.6266526930577243, + -0.5413771552267932, + -0.4634961810073607, + -0.3933038406770279, + -0.33083791520622025, + -0.2758853806224352, + -0.22799467832065073, + -0.1864943981730689, + -0.15051783670881852, + -0.1190327422127786, + -0.09087542611770025, + -0.06478830886497976, + -0.03945988127874671, + -0.01356600161912878, + 0.01418858462480287, + 0.04502961965243705, + 0.0800746962444902, + 0.12029764963827173, + 0.16649694039043325, + 0.219268886490273, + 0.2789864771316224, + 0.3457843557684244, + 0.41955040003163585, + 0.4999241548227054, + 0.5863021967564641, + 0.6778503276151282, + 0.7735223161700965, + 0.8720847361531522, + 0.9721472876727382, + 1.0721978440598992, + 1.1706413397011755, + 1.2658415101118325, + 1.3561644160109427, + 1.4400226305492105, + 1.5159189445093098, + 1.5824884489378623, + 1.638537888243577, + 1.6830812385481149, + 1.7153705545379119, + 1.734921241098287, + 1.7415310408580316, + 1.7352921821247058, + 1.7165962997700215, + 1.6861319202765708, + 1.6448744869548566, + 1.5940690876926118, + 1.5352062308670733, + 1.469991190661745, + 1.4003076065886282, + 1.3281761694209704, + 1.2557093532772394, + 1.1850632580372904, + 1.1183877049528874, + 1.0577757792078322, + 1.0052140349395686, + 0.96253457022683, + 0.9313701418809198, + 0.9131134233903295, + 0.9088814156112003, + 0.9194859009962034, + 0.945410691160879, + 0.9867962577994472, + 1.0434321622508969, + 1.1147575136233463, + 1.199869493822187, + 1.297539794765717, + 1.4062386232243296, + 1.5241657467264738, + 1.649287884289689, + 1.779381592515082, + 1.9120806645837791, + 2.044926950179522, + 2.175423421022947, + 2.301088251591802, + 2.4195086590783697, + 2.52839325133776, + 2.625621666406206, + 2.709290351275534, + 2.7777534194426483, + 2.8296576440746577, + 2.8639707835819124, + 2.880002595560149, + 2.8774180695675127, + 2.8562425947872514, + 2.8168589707680782, + 2.759996363450711, + 2.6867114998571497, + 2.5983625784898896, + 2.496576544200497, + 2.3832105318784462, + 2.2603084190198115, + 2.1300535397911493, + 1.9947186999113968, + 1.8566146904741267, + 1.718038528356492, + 1.5812226504603992, + 1.4482862587964103, + 1.3211899541739847, + 1.2016947095379185, + 1.0913261220006703, + 0.9913447481897522, + 0.9027231740339887, + 0.826130301390297, + 0.7619231541694733, + 0.7101463203241918, + 0.6705389578357949, + 0.6425491073373029, + 0.625354875818022, + 0.6178918893591071, + 0.6188862621379259, + 0.6268921976993359, + 0.640333229919212, + 0.6575460278044554, + 0.6768256322734133, + 0.69647096564705, + 0.714829456344915, + 0.7303396520828171, + 0.7415707538485055, + 0.7472580885233789, + 0.7463336479961374, + 0.7379509541464653, + 0.7215036587976322, + 0.6966374518312264, + 0.6632550249562847, + 0.6215140187109754, + 0.5718180615917628, + 0.5148011881722193, + 0.4513060932010436, + 0.38235683666904857, + 0.30912675673013806, + 0.23290246958273844, + 0.15504493489543908, + 0.07694863959824139, + 7.073463703085915e-16 + ], + [ + 0, + -0.0733740510387285, + -0.14249697797282798, + -0.20632456942397936, + -0.2639894586136317, + -0.3148276863815348, + -0.358399630107807, + -0.39450472086445826, + -0.42318953247018215, + -0.4447489983758725, + -0.4597206911057986, + -0.46887227979107104, + -0.4731824595738792, + -0.4738158178094691, + -0.4720922616983108, + -0.46945177617675254, + -0.4674154058991604, + -0.46754345775412437, + -0.47139199792624426, + -0.48046876802261523, + -0.49618966688515476, + -0.5198369377726837, + -0.5525201647137933, + -0.595141117822561, + -0.6483633967598582, + -0.712587706508274, + -0.7879334630186979, + -0.874227271437429, + -0.9709986503534376, + -1.0774831960036906, + -1.1926331950925009, + -1.3151355084251561, + -1.4434363645726584, + -1.5757725278439658, + -1.7102081423248032, + -1.8446764077307705, + -1.9770251169976343, + -2.1050649830826402, + -2.226619605993291, + -2.339575882572238, + -2.4419336423382245, + -2.5318533032817236, + -2.6077003817719944, + -2.6680857597482364, + -2.7119007085282854, + -2.7383457895873913, + -2.7469528956335005, + -2.7375998567840605, + -2.710517212720768, + -2.6662869380854093, + -2.6058331005436055, + -2.530404624196799, + -2.4415505206457024, + -2.341088131362797, + -2.2310650936770138, + -2.1137158944767886, + -1.991414006973511, + -1.866620713312085, + -1.741831796825542, + -1.6195233403090148, + -1.5020978895323558, + -1.3918322337465565, + -1.2908280173332343, + -1.2009663299053501, + -1.123867327711552, + -1.0608558194237425, + -1.0129336072144746, + -0.9807592129218182, + -0.9646354429818385, + -0.9645050589747702, + -0.9799546276336821, + -1.0102264297039496, + -1.0542381158513658, + -1.1106096145446345, + -1.1776966259343953, + -1.2536298813578872, + -1.336359213948426, + -1.4237013751528638, + -1.513390447409672, + -1.6031296468200058, + -1.690643282667062, + -1.773727643690667, + -1.8502996139523, + -1.9184418830434464, + -1.9764437046981072, + -2.022836272299114, + -2.056421916432449, + -2.076296485118074, + -2.081864437745917, + -2.0728463648283397, + -2.049278832947395, + -2.0115066430854514, + -1.9601677762124106, + -1.896171477980956, + -1.820670100273529, + -1.7350254670811993, + -1.6407706621155, + -1.5395682425005681, + -1.4331659642831882, + -1.323351159392846, + -1.211904928831744, + -1.100557312742985, + -0.9909445647930513, + -0.8845695969350579, + -0.7827665727171801, + -0.6866705151494399, + -0.5971926616279664, + -0.5150021469526331, + -0.4405144299200172, + -0.3738867035317844, + -0.31502034797394873, + -0.26357030376864865, + -0.21896106446584912, + -0.1804088184171366, + -0.14694911183410406, + -0.11746926443816275, + -0.0907446480971399, + -0.06547784095103161, + -0.04033959710724432, + -0.014010526844029397, + 0.014777634478889851, + 0.04720227853557302, + 0.08431276635276039, + 0.12699686200516508, + 0.17595166513456637, + 0.23165983267190596, + 0.2943717426964329, + 0.36409409902417667, + 0.44058530778700195, + 0.523357781179655, + 0.6116871431755447, + 0.7046281319134677, + 0.8010368182053097, + 0.8995985936595197, + 0.9988612294781389, + 1.0972721719528487, + 1.1932191265112582, + 1.2850728917826535, + 1.3712313409033094, + 1.450163410852643, + 1.5204519529955958, + 1.5808343194744416, + 1.6302396101867391, + 1.6678215826294163, + 1.692986330015682, + 1.705413959271496, + 1.705073646698933, + 1.6922316116562797, + 1.6674517235332453, + 1.6315886402608282, + 1.5857735630458294, + 1.5313928773189054, + 1.4700601294096551, + 1.4035819577231197, + 1.3339187519445697, + 1.2631409501497626, + 1.193381998199671, + 1.1267890855413816, + 1.065472834215263, + 1.0114571518441153, + 0.96663046372093, + 0.9326995136171378, + 0.9111468681391636, + 0.9031931766284884, + 0.9097651296856228, + 0.9314699270036569, + 0.9685769125094079, + 1.0210068655217701, + 1.088329254855138, + 1.1697675729421129, + 1.2642126737512345, + 1.3702438462506135, + 1.4861571691103652, + 1.6100005167995588, + 1.7396144265161995, + 1.87267789343426, + 2.006758042043639, + 2.1393625268411594, + 2.2679934486301274, + 2.3902015348577397, + 2.503639324705081, + 2.6061121222477945, + 2.6956255333885193, + 2.770428483157501, + 2.8290507174204396, + 2.8703339244071593, + 2.8934557635805347, + 2.897946258495438, + 2.883696192329543, + 2.8509573352653534, + 2.8003345272249427, + 2.732769832874321, + 2.649519173617766, + 2.552122018930717, + 2.442364882523434, + 2.3222395135371343, + 2.193896795757611, + 2.059597465737653, + 1.9216608314142813, + 1.7824127146253192, + 1.6441338529207064, + 1.5090099780094817, + 1.3790847406049123, + 1.256216575575541, + 1.1420404991184134, + 1.0379357037285597, + 0.9449996702112625, + 0.8640293525365981, + 0.7955098150462883, + 0.7396105167748691, + 0.6961892490245875, + 0.6648035445059438, + 0.6447291939623013, + 0.6349853337319139, + 0.6343654094015833, + 0.641473180449947, + 0.6547628119849389, + 0.672582005228433, + 0.6932170505588817, + 0.7149386472901458, + 0.7360473238362472, + 0.7549173106546563, + 0.7700377658121008, + 0.7800503278985945, + 0.7837820713671234, + 0.7802730626051692, + 0.7687978579897958, + 0.7488804441933089, + 0.7203022920477601, + 0.6831033740064418, + 0.6375761771354365, + 0.5842529240326063, + 0.5238863885519196, + 0.45742485731074556, + 0.38598193754651106, + 0.31080204320575266, + 0.23322250089548455, + 0.1546333027520551, + 0.07643559224875691, + 6.998045711564291e-16 + ], + [ + 0, + -0.07208441606849679, + -0.139433598635254, + -0.20108968210245348, + -0.25628680853116403, + -0.3044746704284098, + -0.3453360649982171, + -0.3787979720626422, + -0.405035836293188, + -0.42447091125257186, + -0.4377607035503291, + -0.4457827355797327, + -0.44961202025686603, + -0.4504928064813216, + -0.44980530547627295, + -0.4490282418819694, + -0.44969818605042794, + -0.45336671252661725, + -0.46155649190926307, + -0.47571745752684286, + -0.4971841937054494, + -0.5271356686327473, + -0.5665583824539433, + -0.6162139215071589, + -0.6766118044403421, + -0.7479883779141815, + -0.8302923718273542, + -0.9231775601437429, + -1.026002797507895, + -1.1378395182662653, + -1.2574865978302696, + -1.3834922911733858, + -1.5141827842711142, + -1.6476967259498982, + -1.7820249541339725, + -1.9150544957342024, + -2.04461580681865, + -2.1685321321090583, + -2.284669802513973, + -2.390988257921171, + -2.485588580701578, + -2.5667593534626905, + -2.6330187119325656, + -2.683151549132012, + -2.716240938186991, + -2.7316929755859625, + -2.7292544011597992, + -2.7090225218178277, + -2.6714471489673097, + -2.617324450124767, + -2.5477828088489223, + -2.464260979057919, + -2.3684790053441396, + -2.262402555524588, + -2.1482014710829107, + -2.0282034814579357, + -1.9048441458656689, + -1.7806141786094218, + -1.658005378360644, + -1.5394564170835712, + -1.4272997492499147, + -1.3237108766062196, + -1.2306611486182475, + -1.1498751951569135, + -1.0827939780358538, + -1.030544314336135, + -0.993915570313204, + -0.9733440538294645, + -0.9689054498557499, + -0.9803154521038875, + -1.0069385489543596, + -1.0478047282713236, + -1.1016336781600264, + -1.1668658837747654, + -1.241699858221004, + -1.3241346023356015, + -1.4120162671315424, + -1.5030878968640593, + -1.5950410622996694, + -1.6855681544550711, + -1.772414099712261, + -1.8534262779629511, + -1.926601475704393, + -1.9901287844891573, + -2.0424274598204155, + -2.082178883838702, + -2.1083519237460586, + -2.1202211431454696, + -2.117377501220526, + -2.0997313605258676, + -2.0675078134960203, + -2.02123452592559, + -1.9617224779841524, + -1.8900401553164345, + -1.807481900220168, + -1.7155312719385076, + -1.6158203823641564, + -1.5100862660907142, + -1.4001254095431581, + -1.2877476013267497, + -1.174730274115083, + -1.062774487245425, + -0.9534636493277368, + -0.8482260029406921, + -0.748301790903647, + -0.6547158983254936, + -0.5682566198510934, + -0.4894610409449309, + -0.41860734975147523, + -0.35571421641905343, + -0.3005471943135657, + -0.25263191688737935, + -0.21127368966244206, + -0.17558291322487427, + -0.14450562442449003, + -0.11685831286268211, + -0.09136606149969557, + -0.06670297652855824, + -0.04153381463833017, + -0.01455568684172418, + 0.01546128211836948, + 0.04963543115756319, + 0.08893821276483058, + 0.13416296794557012, + 0.1858986709959568, + 0.2445093594751505, + 0.3101198168482873, + 0.3826079126689893, + 0.4616038319739932, + 0.5464962461618028, + 0.6364452965688634, + 0.7304020838321186, + 0.8271341854578358, + 0.9252565651417982, + 1.0232670943515767, + 1.1195857831404095, + 1.2125967162810904, + 1.3006916151891281, + 1.3823138977182592, + 1.4560020880477287, + 1.520431438116017, + 1.5744526602365916, + 1.6171267367783697, + 1.647754865522786, + 1.6659027162695266, + 1.6714183125923627, + 1.6644430089425457, + 1.6454152037010563, + 1.6150666090729564, + 1.5744110844212442, + 1.524726226133189, + 1.4675280897479137, + 1.404539594284321, + 1.3376533201270713, + 1.2688895563968106, + 1.2003505778004642, + 1.1341722313792666, + 1.0724739877786726, + 1.0173086577298422, + 0.97061299112588, + 0.9341603628901918, + 0.9095167069999449, + 0.8980007885089814, + 0.9006498048861072, + 0.9181911847918243, + 0.9510213075164746, + 0.9991917031942864, + 1.0624031165440275, + 1.140007629579207, + 1.2310188460416098, + 1.3341299469440262, + 1.447739237287188, + 1.5699826233748504, + 1.6987722926162723, + 1.8318407173852604, + 1.9667889750923782, + 2.10113827130271, + 2.2323834740916646, + 2.3580474178174393, + 2.4757347143436417, + 2.583183819980879, + 2.678316146799479, + 2.759281076526416, + 2.8244958322926834, + 2.872679285685126, + 2.90287892090523, + 2.9144903408313683, + 2.9072688774497757, + 2.8813330571344054, + 2.837159865036956, + 2.775571947677729, + 2.697717083965028, + 2.6050404376692473, + 2.4992502744002225, + 2.382277979262741, + 2.2562333438940434, + 2.123356200327657, + 1.9859655614754548, + 1.8464074820227243, + 1.7070028779349569, + 1.5699965370558926, + 1.4375085176501161, + 1.3114890671613813, + 1.1936781015823987, + 1.0855701689924797, + 0.9883856819577063, + 0.9030490460815014, + 0.8301741399686557, + 0.7700574195037905, + 0.7226787311711981, + 0.6877097298168326, + 0.6645296104527181, + 0.6522476860088874, + 0.64973217771714, + 0.6556444361138332, + 0.6684776821063172, + 0.6865992522813156, + 0.7082952531802602, + 0.731816477515526, + 0.7554244124483506, + 0.7774361765677894, + 0.79626725784097, + 0.8104709885637003, + 0.8187737835427285, + 0.8201052820455359, + 0.8136226695216131, + 0.7987286082682028, + 0.7750823731850754, + 0.7426039652992389, + 0.701471157372047, + 0.6521096080376019, + 0.5951763589669333, + 0.5315371990207443, + 0.46223853597937475, + 0.3884745562853016, + 0.31155057279012666, + 0.2328435567677113, + 0.15376092102971722, + 0.075698664099753, + 6.90272517741743e-16 + ], + [ + 0, + -0.07060679883360366, + -0.13603308313667625, + -0.195415651379986, + -0.2480968692427071, + -0.2936449769989766, + -0.3318681044079477, + -0.3628215997605388, + -0.3868084538261522, + -0.40437277939480293, + -0.4162864883622551, + -0.42352948626001674, + -0.4272638742698264, + -0.42880280675773, + -0.42957479419129685, + -0.4310843633426103, + -0.4348700858002117, + -0.4424610594583101, + -0.4553329739008466, + -0.4748649082164999, + -0.5022979982503899, + -0.5386970698317765, + -0.5849162660534011, + -0.6415696018599162, + -0.7090072603361423, + -0.7872983050837227, + -0.8762203253847322, + -0.975256359370489, + -1.0835992593935044, + -1.200163477738206, + -1.323604064335613, + -1.4523424859229424, + -1.5845987026704986, + -1.7184287780355303, + -1.8517671545293606, + -1.982472605814909, + -2.108376777193613, + -2.227334154613794, + -2.337272258707186, + -2.4362408462097407, + -2.5224589168928766, + -2.594358369528305, + -2.6506232244066066, + -2.690223430791259, + -2.712442403012814, + -2.7168975756819504, + -2.703553433179029, + -2.672726647168423, + -2.6250831440450137, + -2.5616271173621037, + -2.483682193698431, + -2.3928651493680335, + -2.291052755232919, + -2.180342493236434, + -2.0630080370501593, + -1.941450516763355, + -1.8181466907012078, + -1.6955952236920766, + -1.5762623185277227, + -1.4625279647916916, + -1.3566340562221688, + -1.260635584622911, + -1.1763560460758602, + -1.105348095589298, + -1.0488603617548213, + -1.0078111865138422, + -0.9827698903148687, + -0.973945983790032, + -0.9811865579561054, + -1.003981890457029, + -1.041479110245578, + -1.092503572097895, + -1.1555874101080414, + -1.2290045702440098, + -1.310811470257939, + -1.3988923043999246, + -1.4910079036371848, + -1.584846981984334, + -1.678078548003551, + -1.7684042387312593, + -1.8536093416916941, + -1.931611308988355, + -2.000504634705262, + -2.0586010612772485, + -2.1044641997115847, + -2.136937789565804, + -2.155166983881628, + -2.1586122178714664, + -2.147055403737547, + -2.1205983830218376, + -2.0796537576609477, + -2.02492840676945, + -1.9574001735201159, + -1.8782883709740497, + -1.7890189033097907, + -1.6911849260083047, + -1.5865040720868644, + -1.4767733489484154, + -1.3638228599862536, + -1.2494695256170862, + -1.1354719694944606, + -1.0234876975993183, + -0.9150336317603373, + -0.8114509666683857, + -0.713875203014022, + -0.6232120719866991, + -0.5401199115376883, + -0.4649988864650797, + -0.3979872667984614, + -0.33896479663627055, + -0.2875630031260604, + -0.24318211727762776, + -0.20501410924392993, + -0.17207118484611578, + -0.1432189513715301, + -0.11721334251673912, + -0.09274029773997203, + -0.0684571225917121, + -0.04303441551769392, + -0.015197434187661604, + 0.01623420911310632, + 0.05230958852193452, + 0.09391323525663406, + 0.14173653329240096, + 0.19625451466314542, + 0.2577086882608476, + 0.3260963789045665, + 0.40116688395997385, + 0.48242457720577986, + 0.5691389084661628, + 0.6603610673527925, + 0.7549469048588159, + 0.8515855419563597, + 0.9488329439572022, + 1.0451496070386994, + 1.1389413924005278, + 1.2286024568540428, + 1.3125591685009865, + 1.3893138641146898, + 1.4574873017739618, + 1.5158586883709018, + 1.5634022162414836, + 1.599319125056976, + 1.623064412284918, + 1.6343674453626091, + 1.6332458780339585, + 1.620012438397701, + 1.595274333015229, + 1.5599251955415663, + 1.5151296951931315, + 1.4623011052924146, + 1.4030723105112197, + 1.3392608988018107, + 1.2728291361542199, + 1.2058397554119582, + 1.1404086010461862, + 1.078655257207098, + 1.0226528443395306, + 0.9743781986398649, + 0.9356636478322218, + 0.9081515660759338, + 0.8932528309468394, + 0.8921102177465153, + 0.9055676529621323, + 0.9341461122402711, + 0.9780267920389677, + 1.0370420119648982, + 1.1106741208677915, + 1.1980624885306046, + 1.298018470926482, + 1.4090480452496825, + 1.5293816259600037, + 1.6570103994407557, + 1.789728356818777, + 1.9251790659133083, + 2.0609061075782513, + 2.1944060117289474, + 2.3231824663241327, + 2.4448005400447093, + 2.556939657191297, + 2.6574440914878332, + 2.744369803360381, + 2.8160265314631268, + 2.871014161656228, + 2.9082525325719275, + 2.9270039930280793, + 2.9268881990612234, + 2.907888823053323, + 2.8703520398193523, + 2.814976849922918, + 2.7427974941390607, + 2.6551584001788475, + 2.553682278982141, + 2.440232148800787, + 2.316868207039256, + 2.185800588974493, + 2.0493391461792223, + 1.909841443489023, + 1.7696602101334709, + 1.6310914873625955, + 1.4963246914525512, + 1.3673957580170488, + 1.2461444524595107, + 1.1341768242384138, + 1.0328336520862016, + 0.9431655766937007, + 0.8659154504064775, + 0.8015082543333937, + 0.7500487463880654, + 0.7113268137997609, + 0.6848303152367023, + 0.6697650155272636, + 0.6650810445240812, + 0.6695051551374394, + 0.681577917793305, + 0.6996948729000493, + 0.7221505721318595, + 0.7471843756270161, + 0.7730268370490784, + 0.7979455026474661, + 0.8202889740284429, + 0.8385281366228199, + 0.851293535413574, + 0.8574079842872504, + 0.8559136226944856, + 0.84609277988668, + 0.8274821691017743, + 0.7998801075849791, + 0.763346638854712, + 0.7181966165961249, + 0.6649859903667948, + 0.6044917073754953, + 0.5376858075648976, + 0.4657044369965604, + 0.3898126333931729, + 0.3113658444096507, + 0.23176922111215648, + 0.15243578420018677, + 0.07474458734661857, + 6.788373241547722e-16 + ], + [ + 0, + -0.06895471817307365, + -0.132326614965831, + -0.1893546472661821, + -0.23949516746803906, + -0.28243880867114607, + -0.31812082681758497, + -0.346724604597923, + -0.3686782002188982, + -0.3846440056228703, + -0.39550175888313827, + -0.40232532969610196, + -0.406353860724398, + -0.4089579968447748, + -0.4116020653123276, + -0.41580317911782994, + -0.42308832057771734, + -0.43495052025982683, + -0.4528052761829635, + -0.47794835901256594, + -0.5115161206140033, + -0.5544493664566272, + -0.6074617683391222, + -0.6710136847667819, + -0.745292124724136, + -0.8301974397894805, + -0.9253371632560697, + -1.0300272372781363, + -1.1433006844612719, + -1.2639235933622721, + -1.3904181027184799, + -1.521091891509174, + -1.6540735156176682, + -1.787352781095357, + -1.918825212633341, + -2.0463395671555986, + -2.167747259236324, + -2.280952509462774, + -2.3839620003833955, + -2.474932828050752, + -2.55221757040391, + -2.6144053561104768, + -2.6603579075572905, + -2.6892396473064677, + -2.700541095750107, + -2.6940949455648893, + -2.670084372063257, + -2.629043323445082, + -2.5718487267682684, + -2.499704739496912, + -2.414119368006837, + -2.3168739587418647, + -2.209986240300079, + -2.095667751351811, + -1.9762766260986582, + -1.8542668226081815, + -1.7321349669979722, + -1.6123660459273874, + -1.4973792097049534, + -1.3894749477788133, + -1.2907848674362716, + -1.203225245928839, + -1.1284554374225761, + -1.0678421013003838, + -1.0224300802030661, + -0.9929205981483694, + -0.9796572749578808, + -0.9826202672890755, + -1.0014286533403314, + -1.0353509824736873, + -1.0833237173474337, + -1.1439771093762388, + -1.2156678729761614, + -1.2965178643578181, + -1.3844578304674149, + -1.477275176423731, + -1.5726646082750482, + -1.6682804442849628, + -1.7617893537427367, + -1.8509222782530255, + -1.9335243166177243, + -2.0076014100662425, + -2.071362748280779, + -2.123257926275789, + -2.162008014966681, + -2.1866298608778556, + -2.1964530990888447, + -2.191129544005588, + -2.1706348103955992, + -2.1352622076916603, + -2.085609139143092, + -2.0225564193305194, + -1.9472410943877925, + -1.8610235048069848, + -1.7654494671412402, + -1.662208564949979, + -1.553089628199078, + -1.4399345419143053, + -1.3245915577508325, + -1.2088692855642906, + -1.0944925160630568, + -0.9830609709337224, + -0.8760119949213474, + -0.7745880973493167, + -0.6798101212369606, + -0.5924566698269823, + -0.5130502567468388, + -0.4418504713515453, + -0.3788542694523741, + -0.32380331620789854, + -0.2761981270676196, + -0.2353185788685917, + -0.2002502008627479, + -0.16991550867292557, + -0.14310951661966004, + -0.11853845872141103, + -0.09486066857412162, + -0.07072851525513572, + -0.044830267683113975, + -0.015930764096535082, + 0.01709020364350328, + 0.0552028202228806, + 0.099196433422743, + 0.14965382739563293, + 0.20693128012953965, + 0.2711449517113346, + 0.3421639850181743, + 0.4196105255308645, + 0.5028666865117805, + 0.5910883043977067, + 0.6832251515276289, + 0.7780471037708582, + 0.8741756035536759, + 0.970119618204624, + 1.0643151730404017, + 1.1551674412863135, + 1.241094301278278, + 1.320570227296755, + 1.392169365016208, + 1.4546066563763884, + 1.5067759214216583, + 1.5477838753133943, + 1.5769791555976693, + 1.5939755555454114, + 1.5986688010118615, + 1.5912463672946677, + 1.572190004970317, + 1.542270825377526, + 1.5025369827748651, + 1.4542941765830673, + 1.399079378874138, + 1.338628364838202, + 1.274837783011864, + 1.2097226435822142, + 1.1453702235084409, + 1.0838914834646673, + 1.0273711612317042, + 0.9778177473372817, + 0.9371145603487868, + 0.9069731208765033, + 0.8888899754040757, + 0.8841080446168762, + 0.8935834677434472, + 0.9179587870203112, + 0.957543167799365, + 1.0123001836313472, + 1.0818435159108681, + 1.1654407287314947, + 1.262025086081203, + 1.3702151851361442, + 1.4883419909160172, + 1.6144826785656976, + 1.7465005244166565, + 1.8820899398143118, + 2.018825616094102, + 2.154214648146042, + 2.2857504302170066, + 2.4109670727935857, + 2.52749307470651, + 2.63310300038497, + 2.725765958103198, + 2.80368975000235, + 2.8653596668270915, + 2.9095710272093664, + 2.9354547098790484, + 2.9424950937681547, + 2.9305400015475116, + 2.8998024322961684, + 2.8508540641255253, + 2.784610702913614, + 2.7023100440997627, + 2.6054822961100474, + 2.4959143820214584, + 2.3756085864576013, + 2.2467366438061043, + 2.111590368550413, + 1.9725300063100348, + 1.831931533239908, + 1.6921341506180576, + 1.5553892103493432, + 1.423811766078437, + 1.2993358747150159, + 1.1836746762169543, + 1.0782861579020444, + 0.9843453664160005, + 0.9027236693514713, + 0.8339754934004848, + 0.7783327811804416, + 0.7357072190783556, + 0.7057000983013819, + 0.6876194854941984, + 0.6805042023584983, + 0.6831539500292556, + 0.6941647675307792, + 0.7119688880209075, + 0.7348779547773998, + 0.7611284834308027, + 0.788928409587905, + 0.8165035428026073, + 0.8421427591907168, + 0.8642408054710913, + 0.8813376557408263, + 0.892153457053569, + 0.895618218413107, + 0.8908955370763043, + 0.8773998125250052, + 0.8548065681375777, + 0.8230556791664133, + 0.7823474885917724, + 0.7331319751563796, + 0.6760913157839156, + 0.6121163531714706, + 0.5422776343846571, + 0.46779182388366297, + 0.3899844111217916, + 0.31024972576644155, + 0.23000934037892576, + 0.15066997939661408, + 0.0735820635314906, + 6.656034140218279e-16 + ], + [ + 0, + -0.06714328129962294, + -0.12834816586787728, + -0.18296236695227253, + -0.23056097838353323, + -0.27095978101699414, + -0.3042218113624581, + -0.33065699827583933, + -0.350814854484653, + -0.36547039119862457, + -0.37560360151046956, + -0.3823730272126761, + -0.38708407974761333, + -0.3911529252933053, + -0.39606686290755316, + -0.40334222015899446, + -0.41448086030062115, + -0.4309264369721095, + -0.45402154552856444, + -0.48496690398367426, + -0.5247836515568096, + -0.5742797799838734, + -0.6340216138483631, + -0.7043111336268194, + -0.7851697919336813, + -0.8763293131296899, + -0.9772297929960759, + -1.0870252328813288, + -1.2045964561361704, + -1.328571168420306, + -1.4573507422479302, + -1.5891431344796978, + -1.722001187680771, + -1.8538654263265801, + -1.9826103402929962, + -2.1060930539365916, + -2.2222032117731256, + -2.328912873058854, + -2.4243251985242127, + -2.506720733425174, + -2.5746001415449933, + -2.6267223236466575, + -2.662136959288083, + -2.6802106403519472, + -2.680645914995717, + -2.6634927283583947, + -2.629151927199156, + -2.578370685287028, + -2.5122299001828288, + -2.432123805317138, + -2.339732229239597, + -2.2369861119864596, + -2.1260270523135745, + -2.0091618050432265, + -1.8888127713928122, + -1.767465623841115, + -1.6476152784022031, + -1.5317114693451976, + -1.4221051933604465, + -1.3209972716089502, + -1.2303902294291202, + -1.1520446158786575, + -1.087440780632163, + -1.0377469965748465, + -1.0037946658660442, + -0.9860611789546615, + -0.9846608141065821, + -0.9993438738789243, + -1.0295040592991156, + -1.0741938870387346, + -1.1321477643659186, + -1.2018121557443346, + -1.2813821080111016, + -1.368843252154452, + -1.4620182724224482, + -1.5586167308909449, + -1.6562870601581052, + -1.752669490300124, + -1.8454486596940753, + -1.9324046731241775, + -2.011461414329761, + -2.0807309926820774, + -2.1385533031443793, + -2.1835298025670187, + -2.2145507505914055, + -2.2308153263607116, + -2.231844208807323, + -2.2174843941276157, + -2.187906214562505, + -2.1435927130722643, + -2.0853217142317946, + -2.014141108110879, + -1.9313380267161266, + -1.8384027377779082, + -1.7369882047319025, + -1.628866361669149, + -1.5158822254139237, + -1.3999070120040207, + -1.2827914406672523, + -1.166320394616814, + -1.0521700650693924, + -0.9418686339903481, + -0.8367614540533811, + -0.7379815636766203, + -0.6464262338580429, + -0.5627400854797837, + -0.48730514479989195, + -0.42023802533144883, + -0.3613942407608236, + -0.3103794706087838, + -0.26656742259816824, + -0.22912376762924241, + -0.19703546909859845, + -0.16914469189498063, + -0.14418636117942615, + -0.12082834988546402, + -0.09771320902753054, + -0.07350031798764746, + -0.04690732386310413, + -0.016749759876265303, + 0.018022217783801007, + 0.05829095877108104, + 0.10474319535729931, + 0.15784742508356253, + 0.2178374133284685, + 0.28470227014009164, + 0.3581833842180271, + 0.4377783180495714, + 0.5227515864379216, + 0.6121520606215506, + 0.7048365664440193, + 0.7994990820079612, + 0.8947047920857127, + 0.9889281270416912, + 1.0805938064624094, + 1.1681198248550597, + 1.2499612608122808, + 1.3246537634242193, + 1.3908555712142374, + 1.447386949516148, + 1.4932659913021353, + 1.5277398125994839, + 1.5503102847081238, + 1.5607535787283857, + 1.5591329501450786, + 1.545804358625708, + 1.521414696625242, + 1.4868925854109218, + 1.4434318841174438, + 1.3924682417452663, + 1.3356491990094563, + 1.2747985121915018, + 1.2118755204824876, + 1.1489305079602852, + 1.0880571180236651, + 1.0313429590838763, + 0.9808195934918875, + 0.9384131256462879, + 0.905896599291015, + 0.8848453782226178, + 0.8765966197711967, + 0.8822138580057509, + 0.9024575958361625, + 0.9377626648641093, + 0.988222952359911, + 1.0535839199762704, + 1.1332431530025047, + 1.2262589866425158, + 1.3313670616638436, + 1.4470044705623426, + 1.5713409718024685, + 1.7023165782307461, + 1.8376846706320658, + 1.975059652422736, + 2.11196804997623, + 2.2459018778132025, + 2.3743730309687683, + 2.494967439699268, + 2.605397724999004, + 2.7035531271114626, + 2.787545542540764, + 2.855750596473722, + 2.906842794798754, + 2.939823940209049, + 2.954044156794503, + 2.9492150431697555, + 2.92541466128016, + 2.883084262020502, + 2.823016844972006, + 2.7463378431401604, + 2.654478409854063, + 2.5491419594441345, + 2.4322647717192964, + 2.305971608784514, + 2.172527408033385, + 2.034286204449531, + 1.8936384965280346, + 1.7529583017481072, + 1.614551148883777, + 1.480604225566379, + 1.3531398411902578, + 1.2339732789821491, + 1.1246759990205997, + 1.0265450190106093, + 0.9405791450641589, + 0.8674625544604501, + 0.8075560505902508, + 0.7608961215307714, + 0.7272017426191274, + 0.7058886747077101, + 0.6960908281389949, + 0.6966880923312004, + 0.7063398763856733, + 0.7235234710806202, + 0.7465762302822009, + 0.7737404828905364, + 0.8032100270153255, + 0.8331770275262559, + 0.8618781371092139, + 0.8876386894059185, + 0.9089138699145831, + 0.924325854562505, + 0.9326960150350797, + 0.9330714212487601, + 0.924745021430389, + 0.9072690452921054, + 0.8804613515829925, + 0.8444046234081832, + 0.7994384985346218, + 0.7461449028170293, + 0.6853270283248833, + 0.6179825593730988, + 0.5452718954003766, + 0.4684822458486658, + 0.3889885757194498, + 0.3082124587357636, + 0.22757994607920562, + 0.14847958124161856, + 0.07222168509188005, + 6.506915612942926e-16 + ], + [ + 0, + -0.06518904210514287, + -0.12413417521394642, + -0.17629750645906078, + -0.22137657033929334, + -0.2593139315904474, + -0.2902999132256655, + -0.31476835861845454, + -0.3333855184829786, + -0.3470323334967551, + -0.3567805565424399, + -0.3638633207145353, + -0.3696409062152366, + -0.3755625873016194, + -0.3831255462672846, + -0.3938319223241053, + -0.4091451170964758, + -0.4304465038312187, + -0.45899368365389087, + -0.4958813992912392, + -0.5420061553862923, + -0.5980355063270227, + -0.664382859539423, + -0.7411885072338378, + -0.8283074459684734, + -0.9253043749092875, + -1.0314560845034817, + -1.1457612619033146, + -1.2669575525013363, + -1.3935455330410949, + -1.5238190755560026, + -1.655901417289362, + -1.7877861038947718, + -1.9173818453475084, + -2.042560219364779, + -2.161205078416266, + -2.2712624656492997, + -2.3707898236086584, + -2.458003288129244, + -2.5313218981094896, + -2.589407619184486, + -2.63120017404127, + -2.65594579200428, + -2.663219132690022, + -2.652937799553532, + -2.6253690351206234, + -2.581128376338248, + -2.521170241229053, + -2.4467706121951363, + -2.3595021721275855, + -2.261202432264227, + -2.1539355610111413, + -2.039948776516234, + -1.9216242988747076, + -1.8014279671714712, + -1.6818557094211224, + -1.5653791077933623, + -1.4543913259507173, + -1.3511546592473989, + -1.2577509320612563, + -1.1760359005191565, + -1.1075987249159216, + -1.0537274564912746, + -1.0153813408187593, + -0.9931705783349791, + -0.987344005428849, + -0.9977849713273332, + -1.0240154913349535, + -1.0652085605454291, + -1.1202083187222769, + -1.1875575713419706, + -1.2655319983168305, + -1.352180224871168, + -1.4453687922328624, + -1.542830952523733, + -1.642218125205722, + -1.7411527937389286, + -1.8372815921081531, + -1.9283273322212038, + -2.0121387547754073, + -2.0867368471840737, + -2.1503566609894484, + -2.201483675616211, + -2.238883892469633, + -2.2616269998300655, + -2.269102120847298, + -2.2610258399297125, + -2.2374423924229885, + -2.198716093997348, + -2.145516274888942, + -2.0787951654277044, + -1.9997593486826242, + -1.909835549421797, + -1.810631662180887, + -1.703894031820246, + -1.5914620848662275, + -1.4752214671574058, + -1.3570568715252251, + -1.2388057378284525, + -1.1222139767671988, + -1.0088948093943324, + -0.9002917276995609, + -0.7976464703141359, + -0.7019727741362544, + -0.6140365109127113, + -0.5343426513925325, + -0.4631293228115294, + -0.4003690426456111, + -0.34577702739850724, + -0.2988262943049475, + -0.25876910078262877, + -0.2246641056000455, + -0.19540849107568953, + -0.1697741608071145, + -0.14644702556326225, + -0.12406831359673925, + -0.10127679263759577, + -0.07675077041890867, + -0.04924874923941108, + -0.01764764753967196, + 0.01902243321922725, + 0.06154782660777731, + 0.11050611913537788, + 0.16624684673173556, + 0.2288785948788826, + 0.2982628602912843, + 0.37401485556681285, + 0.4555112569377746, + 0.5419047137384915, + 0.6321447610816157, + 0.7250046089994133, + 0.8191131262379633, + 0.9129911989430026, + 1.0050915271702963, + 1.0938408284992727, + 1.177683350443471, + 1.255124553599231, + 1.3247738166223066, + 1.3853850325132044, + 1.4358940129342548, + 1.4754516922583853, + 1.503452223946774, + 1.519555186202113, + 1.5237012585859937, + 1.5161208928455974, + 1.4973356755614482, + 1.4681522630698278, + 1.429648955875999, + 1.3831551657939938, + 1.33022420967069, + 1.272600034245527, + 1.212178633169021, + 1.1509650555039632, + 1.0910270216569318, + 1.0344462546595623, + 0.9832686996699194, + 0.9394548407900355, + 0.9048313308022723, + 0.8810451259533656, + 0.8695212649437768, + 0.8714253500233541, + 0.8876316804688571, + 0.9186978572950977, + 0.964846525994257, + 1.0259547550872554, + 1.1015513664124357, + 1.1908223428000746, + 1.2926242447313807, + 1.4055053745043387, + 1.5277342390551314, + 1.6573346855106579, + 1.7921269211252386, + 1.9297734854796593, + 2.067829121237211, + 2.2037933933625897, + 2.3351648379048373, + 2.459495381937915, + 2.574443767041079, + 2.6778267300412, + 2.7676667461382207, + 2.842235219764042, + 2.900090115648703, + 2.94010715399139, + 2.96150384616659, + 2.9638558173312988, + 2.947105045504086, + 2.9115598387037442, + 2.8578865678925633, + 2.787093368995572, + 2.7005062174085386, + 2.5997379585454894, + 2.4866510437401144, + 2.3633148681894403, + 2.231958733052366, + 2.0949215542697806, + 1.9545995137541572, + 1.813392892574643, + 1.6736533396245854, + 1.53763281273072, + 1.407435382718133, + 1.284973015792082, + 1.1719263476458153, + 1.0697113365203497, + 0.9794525351847571, + 0.9019635571439705, + 0.8377351344082848, + 0.786930977285078, + 0.7493914555013482, + 0.7246449292530117, + 0.7119263732001493, + 0.7102027605458523, + 0.7182045124595856, + 0.7344621741871982, + 0.7573473567283715, + 0.7851168849181032, + 0.8159590214691842, + 0.8480405936951394, + 0.8795538362049747, + 0.9087617790767776, + 0.934041056372134, + 0.9539210831197054, + 0.9671186481528224, + 0.9725670928677329, + 0.9694393889319398, + 0.9571645875720244, + 0.9354372852549472, + 0.9042199309865804, + 0.8637379845292442, + 0.8144681179457246, + 0.757119830402241, + 0.6926110136461606, + 0.6220381588139972, + 0.5466420303829144, + 0.46776974677520194, + 0.38683429652443885, + 0.305272581792633, + 0.22450311583667945, + 0.14588450691536672, + 0.07067583798832817, + 6.342377667793834e-16 + ], + [ + 0, + -0.06310984484180379, + -0.11972320426283867, + -0.1694212014868243, + -0.21202641836861996, + -0.2476087028845321, + -0.2764840238791614, + -0.299206385979727, + -0.31655299908212203, + -0.32950307355565783, + -0.33921077981478254, + -0.3469730649050704, + -0.3541931553231519, + -0.36234069094689575, + -0.3729095267268971, + -0.3873743043146451, + -0.4071469333654726, + -0.43353413084532466, + -0.4676971460059488, + -0.5106147492244582, + -0.5630504858055103, + -0.625525092988254, + -0.6982948523059026, + -0.7813365032208545, + -0.8743391812205275, + -0.976703668347346, + -1.0875490608095217, + -1.2057267714489217, + -1.3298415990979364, + -1.4582794168908406, + -1.5892408619246667, + -1.7207802535616927, + -1.8508488310485487, + -1.9773412864627504, + -2.0981444792151303, + -2.2111871557530405, + -2.314489464371379, + -2.406211051080799, + -2.4846965485030954, + -2.5485173252182083, + -2.5965084466010233, + -2.627799907985004, + -2.641841334347785, + -2.6384194944177346, + -2.617668147427671, + -2.5800699235526214, + -2.5264501299068756, + -2.4579625681802417, + -2.3760676428112877, + -2.2825032253001734, + -2.179248916271161, + -2.0684845078780163, + -1.9525435911385467, + -1.8338633722851538, + -1.7149318562694902, + -1.5982336218277036, + -1.4861954493420586, + -1.381133069190198, + -1.2852002741635244, + -1.2003415854183068, + -1.1282495785907363, + -1.070327867156248, + -1.0276606064967386, + -1.0009892276980181, + -0.9906969385862942, + -0.9968013450966595, + -1.0189553532340103, + -1.05645631532814, + -1.1082631887803704, + -1.1730212858013522, + -1.2490940133565287, + -1.3346008380167278, + -1.4274605646414171, + -1.5254388943233346, + -1.6261991287685276, + -1.7273548176263762, + -1.8265231038916694, + -1.9213775113274767, + -2.0096989371119576, + -2.089423662057541, + -2.158687268514769, + -2.2158634604848833, + -2.259596908900167, + -2.2888293942804165, + -2.3028186853211583, + -2.3011497712853206, + -2.2837382539136875, + -2.2508258962987897, + -2.2029685170538467, + -2.1410166034556792, + -2.066089192498038, + -1.9795417296690605, + -1.882928757838182, + -1.777962409440609, + -1.6664677712654241, + -1.5503362602891626, + -1.4314781895275255, + -1.3117757138953932, + -1.1930373273960313, + -1.0769550351698602, + -0.9650652483104033, + -0.8587143478794003, + -0.7590297398435619, + -0.6668970779060667, + -0.5829441701026984, + -0.507531911664333, + -0.4407524053999862, + -0.38243424630349815, + -0.33215476388160897, + -0.2892588384489671, + -0.25288374078765724, + -0.22198929230736542, + -0.19539250897802876, + -0.17180578018269774, + -0.14987754604721423, + -0.12823437591788256, + -0.10552331797769951, + -0.08045338630390665, + -0.05183507703264481, + -0.018616859036866013, + 0.020082334745990017, + 0.0649454835461951, + 0.11643546287965115, + 0.17477923001646356, + 0.23995864215778037, + 0.31170816543966134, + 0.3895195529081782, + 0.4726533874664863, + 0.5601572061053925, + 0.6508897490574657, + 0.7435507162507261, + 0.8367152676869138, + 0.9288723778496428, + 1.0184660501973202, + 1.1039383188901553, + 1.1837729131865162, + 1.2565384367860364, + 1.3209299204444376, + 1.3758076413540834, + 1.4202321662589992, + 1.4534946655260892, + 1.4751416602232938, + 1.4849935008377169, + 1.48315603122935, + 1.4700250609185128, + 1.4462834486357574, + 1.4128907857421509, + 1.3710658550212191, + 1.3222622237755794, + 1.2681375055321888, + 1.2105169875616877, + 1.151352467741754, + 1.0926772703372538, + 1.0365585128233017, + 0.9850477723098496, + 0.940131348450053, + 0.9036813386340539, + 0.8774087302175317, + 0.86281967368316, + 0.8611760308959805, + 0.8734611956191289, + 0.9003520615121463, + 0.9421978688683134, + 0.9990064988390721, + 1.0704386067856893, + 1.1558097990021725, + 1.2541008639416278, + 1.3639758749724344, + 1.4838077913457892, + 1.6117110021410206, + 1.7455800889400486, + 1.883133931026201, + 2.021964145751067, + 2.159586749605849, + 2.2934958451239638, + 2.4212180870315057, + 2.540366659349463, + 2.6486935040028317, + 2.744138580722655, + 2.8248750067096293, + 2.8893490210123276, + 2.9363138405277462, + 2.964856619001207, + 2.974417883878096, + 2.9648030043691525, + 2.936185433292269, + 2.8891016605449464, + 2.824438012692515, + 2.743409626347044, + 2.6475321080654366, + 2.5385865659206694, + 2.418578853516837, + 2.2896940022615966, + 2.1542469289217796, + 2.0146305901982178, + 1.873262812247488, + 1.7325330494351843, + 1.5947503225444555, + 1.4620935523515703, + 1.336565440822327, + 1.2199509608079948, + 1.1137813983302869, + 1.019304752268841, + 0.9374631379745859, + 0.8688776679630377, + 0.8138410986924769, + 0.7723183420576937, + 0.743954748330756, + 0.7280918785832403, + 0.723790303767549, + 0.7298587990523162, + 0.7448891498192495, + 0.7672956536416708, + 0.7953582937779325, + 0.8272684768405514, + 0.8611761723102849, + 0.89523726572291, + 0.9276599412075066, + 0.9567489424021499, + 0.9809466226851314, + 0.9988697844984522, + 1.0093414209983602, + 1.011416608429752, + 1.004401951036149, + 0.9878681480852232, + 0.9616554304609768, + 0.9258717977525269, + 0.880884171229382, + 0.8273027588910136, + 0.7659591013710959, + 0.6978784275336709, + 0.6242470921108233, + 0.5463759911112877, + 0.4656609508989805, + 0.38354116130950033, + 0.301456770099537, + 0.22080677426153597, + 0.14290833285985133, + 0.06895858636370435, + 6.163919815048678e-16 + ], + [ + 0, + -0.060924654739736295, + -0.11515556877943013, + -0.16239644308670356, + -0.20259639441442528, + -0.2359519095298216, + -0.26290182872162354, + -0.28411547563860645, + -0.30047422994831907, + -0.31304701136541807, + -0.3230603039103866, + -0.33186349374018503, + -0.34089041885662735, + -0.3516181312481182, + -0.3655239489264851, + -0.38404192488842526, + -0.40851988095126085, + -0.4401781460945868, + -0.4800711015264433, + -0.5290525690594717, + -0.587745987113897, + -0.656520202016125, + -0.7354715641058774, + -0.8244128619173656, + -0.9228694572371795, + -1.0300828034032021, + -1.1450213432933116, + -1.2663985967044882, + -1.3926980639179234, + -1.52220439777366, + -1.6530401349288848, + -1.7832071322272407, + -1.9106317299302682, + -2.033212563121096, + -2.1488698684651673, + -2.2555950876368693, + -2.3514995523292224, + -2.4348610493633553, + -2.5041671077690912, + -2.558153921843497, + -2.5958399234218117, + -2.616553140551725, + -2.6199516254679014, + -2.606036398695838, + -2.575156534292053, + -2.5280061993116214, + -2.4656136539918068, + -2.389322413120325, + -2.300764958864298, + -2.201829576311545, + -2.0946210506697556, + -1.9814161153510776, + -1.864614669331969, + -1.7466878870263007, + -1.6301244218425217, + -1.5173759536694063, + -1.4108033495116334, + -1.3126246948751819, + -1.2248664115318177, + -1.1493186059643665, + -1.0874956938219584, + -1.0406032214877392, + -1.0095116593893472, + -0.994737776520483, + -0.9964340258024894, + -1.0143861797707296, + -1.0480192602457512, + -1.096411608906183, + -1.158316752802177, + -1.2321925345218743, + -1.3162368054231501, + -1.408428826222099, + -1.5065753860168472, + -1.6083605417342035, + -1.7113977976366277, + -1.813283490879169, + -1.9116501254160112, + -2.0042184033421853, + -2.0888467397896893, + -2.163577113805646, + -2.226676201535917, + -2.2766708571558123, + -2.312377148351117, + -2.332922313236352, + -2.3377591804268976, + -2.326672779227512, + -2.2997790579819792, + -2.257515820834804, + -2.200626181754164, + -2.1301350150242238, + -2.0473190491159126, + -1.9536714017928458, + -1.850861484831066, + -1.7406913136699103, + -1.6250493380995528, + -1.5058629628167686, + -1.3850509501317774, + -1.2644768908043185, + -1.145904893184102, + -1.0309585765212825, + -0.9210843631953665, + -0.8175199490479367, + -0.7212686939634492, + -0.6330805198182651, + -0.5534397338497221, + -0.48256001666418663, + -0.4203866300226415, + -0.3666057148525903, + -0.32066036928225833, + -0.2817730244129122, + -0.2489734763519392, + -0.22113179070672084, + -0.19699517384178866, + -0.17522780676615132, + -0.1544525649872915, + -0.13329350283269012, + -0.11041796469006598, + -0.0845771987198305, + -0.054644390479855004, + -0.019649103481492004, + 0.0211927908217059, + 0.06845449216494155, + 0.12247961889558985, + 0.18337002659296775, + 0.25098043159954003, + 0.3249199953648554, + 0.40456084357741556, + 0.48905331263897095, + 0.5773475397269687, + 0.6682208459739604, + 0.760310209409181, + 0.8521489891528792, + 0.9422069483811814, + 1.0289325337112163, + 1.1107963052119778, + 1.1863343758834566, + 1.2541907131176608, + 1.3131571775849276, + 1.362210226666779, + 1.4005432887489435, + 1.4275939194688736, + 1.4430649788093102, + 1.4469392155893464, + 1.4394868097697162, + 1.4212655989887555, + 1.3931138994970422, + 1.3561360185763227, + 1.3116807409372988, + 1.2613132508437768, + 1.206781120303791, + 1.149975147353582, + 1.092885963351433, + 1.037557440868397, + 0.986038021330197, + 0.9403311417648399, + 0.9023459712545365, + 0.8738496691039963, + 0.8564223481850937, + 0.8514158690062522, + 0.8599175041196577, + 0.8827194005526776, + 0.9202946327110877, + 0.9727804829122445, + 1.0399694151296959, + 1.1213080238396835, + 1.2159040485344248, + 1.3225413501836285, + 1.439702553441542, + 1.5655988724343597, + 1.6982064630899727, + 1.8353084854929043, + 1.9745419195926264, + 2.113448060224958, + 2.2495255257316003, + 2.380284550760284, + 2.503301299694898, + 2.616270933471892, + 2.717058189414296, + 2.80374429053452, + 2.87466908616554, + 2.928467437719687, + 2.9640989991368123, + 2.9808706978767403, + 2.9784513953389955, + 2.956878391150453, + 2.9165556293362394, + 2.8582436612734416, + 2.7830416157332754, + 2.692361615495769, + 2.5878962583768312, + 2.4715799437139965, + 2.345544969460683, + 2.212073446557901, + 2.073546173261432, + 1.9323896803042968, + 1.7910226965553049, + 1.651803293305842, + 1.5169779433323964, + 1.3886336790452876, + 1.2686544536781152, + 1.1586827026309408, + 1.0600869714327998, + 0.9739363255964852, + 0.9009820896612556, + 0.8416472821224746, + 0.7960239242004707, + 0.7638782081645119, + 0.7446633199382625, + 0.7375395256670274, + 0.7414009573632226, + 0.7549083729351967, + 0.7765270247415501, + 0.8045686517240451, + 0.8372365160281143, + 0.8726723380674214, + 0.9090039457944762, + 0.9443924453525948, + 0.9770777414174763, + 1.0054212857623754, + 1.0279450105497852, + 1.0433655065279022, + 1.050622633018537, + 1.0489018930830694, + 1.0376500698157471, + 1.0165837942171059, + 0.9856908971322659, + 0.9452245827072309, + 0.8956906440646527, + 0.8378281188230376, + 0.7725839482414318, + 0.7010823550031641, + 0.6245897871764579, + 0.5444763864007192, + 0.4621750240962784, + 0.3791390083594688, + 0.29679959473933637, + 0.21652443556593923, + 0.13957807491420265, + 0.06708554037388882, + 5.973166896093752e-16 + ], + [ + 0, + -0.058653377259265164, + -0.11047295370249664, + -0.1552874740405732, + -0.19317294244805988, + -0.2244507001818273, + -0.24967857470491753, + -0.26963532068013796, + -0.2852987490212842, + -0.2978181060734589, + -0.30848141671757007, + -0.3186786388916211, + -0.3298615892775268, + -0.3435016878384405, + -0.3610466302386849, + -0.38387713033368004, + -0.4132648789852393, + -0.4503328402730957, + -0.4960189523063078, + -0.5510442185796903, + -0.6158860691519561, + -0.6907577414663548, + -0.7755942815901371, + -0.8700456017121511, + -0.9734768530095579, + -1.0849761888800287, + -1.2033698066333736, + -1.327243970724777, + -1.4549735421315564, + -1.5847563710148713, + -1.7146527575902817, + -1.8426290530091458, + -1.9666043614122475, + -2.0844992189914398, + -2.194285068095034, + -2.2940333156692074, + -2.381962766454177, + -2.456484252423453, + -2.5162413402984773, + -2.5601460871930573, + -2.587408928453008, + -2.5975619188239905, + -2.590474704896607, + -2.566362779539362, + -2.5257877535326814, + -2.469649571358309, + -2.3991707923886616, + -2.315873250799056, + -2.2215475926773562, + -2.118216362478369, + -2.0080914688866205, + -1.8935269984155543, + -1.7769684602635678, + -1.660899635212336, + -1.5477882624652892, + -1.4400318297497248, + -1.3399047329350726, + -1.2495080417909805, + -1.1707230490091738, + -1.1051696916618774, + -1.0541708199850341, + -1.0187231505192673, + -0.9994755825580619, + -0.9967153823782033, + -1.0103625531021097, + -1.0399725138023717, + -1.0847470143288709, + -1.1435530171111545, + -1.2149490886084022, + -1.2972186657261686, + -1.3884094006963241, + -1.486377645543533, + -1.5888370177789206, + -1.6934098952458196, + -1.7976806223362696, + -1.8992491736540094, + -1.9957840154469881, + -2.0850729298510924, + -2.165070621509135, + -2.2339420090588487, + -2.290100213226607, + -2.3322383860851725, + -2.3593546791226236, + -2.3707698173227936, + -2.36613692827405, + -2.3454434649080533, + -2.3090052531456737, + -2.2574528867498094, + -2.1917108763609785, + -2.1129701334947963, + -2.0226545289625903, + -1.9223824048727214, + -1.8139240366938645, + -1.6991561339876655, + -1.580014533152336, + -1.4584462713506001, + -1.3363622369352657, + -1.2155915680829863, + -1.0978389186900126, + -0.9846456302823102, + -0.8773557428409413, + -0.77708764876812, + -0.6847120460085874, + -0.6008366823649113, + -0.5257982074581338, + -0.45966126602434915, + -0.40222478090971986, + -0.3530351908941729, + -0.31140623193910094, + -0.276444685042269, + -0.24708136373375816, + -0.22210648310995015, + -0.20020844344601252, + -0.1800149775544679, + -0.16013555424070336, + -0.1392039018356396, + -0.11591951653455196, + -0.08908705007930508, + -0.05765252939813195, + -0.020735445660527634, + 0.02234414036004266, + 0.07204419848928519, + 0.1285856071038668, + 0.19194371667188245, + 0.2618468319015126, + 0.3377816646572881, + 0.41900562749451886, + 0.5045656585334473, + 0.5933230969957783, + 0.6839839694149575, + 0.7751339033639253, + 0.8652767621721955, + 0.9528759936848546, + 1.0363976112314996, + 1.1143536775652385, + 1.1853451438539502, + 1.2481029063899116, + 1.3015259833269337, + 1.3447157815228679, + 1.3770055178182385, + 1.3979839775098473, + 1.4075129324617712, + 1.4057376987768955, + 1.3930904853194002, + 1.370286365365882, + 1.3383118897544557, + 1.2984065464437586, + 1.2520374537137602, + 1.2008678477581913, + 1.146720085765056, + 1.091534028706529, + 1.0373217903320113, + 0.9861199371585587, + 0.9399402960513386, + 0.9007205694063861, + 0.8702759718129001, + 0.8502530859374363, + 0.8420870895368334, + 0.846963431005374, + 0.8657849294432682, + 0.8991451493156174, + 0.9473087523835502, + 1.0101993642983242, + 1.0873953140712824, + 1.1781334159342094, + 1.2813207694964721, + 1.3955543603268388, + 1.5191480538916262, + 1.6501663958154342, + 1.7864644651234323, + 1.9257328785755048, + 2.065546917080955, + 2.203418642635626, + 2.3368507987994134, + 2.4633912413165517, + 2.580686629250447, + 2.6865341213943768, + 2.7789298674171095, + 2.8561131571508422, + 2.91660519285416, + 2.9592415757368133, + 2.983197746454156, + 2.9880067860663346, + 2.9735691650590135, + 2.9401542190372774, + 2.888393325987422, + 2.8192649567798815, + 2.734071963077013, + 2.634411650334962, + 2.5221393536937597, + 2.399326387110949, + 2.268213367419446, + 2.131160021911673, + 1.9905926680025758, + 1.8489506045987183, + 1.7086326758064851, + 1.571945258093676, + 1.441052882268959, + 1.3179326326999306, + 1.204333369801268, + 1.1017407004137467, + 1.0113484772935049, + 0.9340374471082848, + 0.8703614901073004, + 0.8205417083553616, + 0.7844684277011534, + 0.7617109862085298, + 0.7515349933521847, + 0.7529265644891465, + 0.7646228683661803, + 0.7851481757792378, + 0.8128544686018709, + 0.8459655633599926, + 0.8826236248683247, + 0.9209368950170872, + 0.9590274407595015, + 0.9950777341227973, + 1.0273749153273999, + 1.054351656798878, + 1.0746226392367038, + 1.0870157685457509, + 1.0905974013232538, + 1.0846910031855217, + 1.0688888345401923, + 1.0430564381521497, + 1.0073298874783072, + 0.9621059396086449, + 0.9080254171017449, + 0.8459503145147917, + 0.7769352837045195, + 0.7021942930596209, + 0.6230633761970152, + 0.5409604823193213, + 0.45734351099324444, + 0.373667656832039, + 0.291343203414916, + 0.21169489044438075, + 0.13592393405609351, + 0.06507370850497284, + 5.771853649180891e-16 + ], + [ + 0, + -0.056316667795001794, + -0.10571801374427091, + -0.14815917204232226, + -0.18384224682129818, + -0.21321052461171397, + -0.23693586045195641, + -0.25589955956121313, + -0.27116724717789714, + -0.2839583774304465, + -0.2956111739205633, + -0.30754391644322765, + -0.32121358682841594, + -0.3380729597325601, + -0.35952726944436525, + -0.38689160020324165, + -0.4213501346859289, + -0.46391835346018767, + -0.5154092083255783, + -0.5764041962579044, + -0.6472301405072027, + -0.7279423442361241, + -0.8183146234250811, + -0.9178365535568311, + -1.0257180831175619, + -1.140901480746128, + -1.2620803965872873, + -1.3877256367300992, + -1.516117077105278, + -1.645380984222879, + -1.773531868674125, + -1.8985178769903979, + -2.0182686313219578, + -2.130744356947057, + -2.2339850966689943, + -2.3261587998200133, + -2.4056070922499213, + -2.4708875819727694, + -2.5208116319804046, + -2.5544766353005586, + -2.571291955207013, + -2.570997842501962, + -2.553676808377493, + -2.5197571114736848, + -2.470008206992829, + -2.4055281994760676, + -2.3277235343541895, + -2.2382813518991416, + -2.1391351060925414, + -2.032424215786766, + -1.920448662295366, + -1.8056195725847766, + -1.6904069274476818, + -1.5772856069271053, + -1.468681029001395, + -1.3669156510216267, + -1.2741575862414118, + -1.1923725403736583, + -1.1232801965698447, + -1.0683160733796568, + -1.028599751618014, + -1.004910215755217, + -0.9976688871004821, + -1.006930743756949, + -1.0323837305176626, + -1.0733564652100491, + -1.12883405126254, + -1.1974816142434934, + -1.2776749974750672, + -1.3675378829868026, + -1.4649844531393417, + -1.5677665788698187, + -1.6735244158091156, + -1.7798392120117206, + -1.8842870825672493, + -1.9844924880610344, + -2.0781801661106103, + -2.1632243076670905, + -2.237693841335327, + -2.2998927878235658, + -2.3483947703015384, + -2.3820709118420207, + -2.400110514630624, + -2.402034093199784, + -2.3876985211847868, + -2.357294243391704, + -2.311334697573428, + -2.2506382784971275, + -2.176303356039393, + -2.089677024782295, + -1.992318410863497, + -1.8859574890561195, + -1.772450466147526, + -1.6537328631835457, + -1.5317714772430686, + -1.4085164220128863, + -1.285854435183836, + -1.1655645999687878, + -1.049277558963865, + -0.9384392029526705, + -0.8342796975617737, + -0.7377885699809626, + -0.6496964198468194, + -0.5704636468639743, + -0.5002764071407885, + -0.439049825100511, + -0.3864383028529151, + -0.3418525887215004, + -0.3044830957352634, + -0.2733288035882532, + -0.2472309377742424, + -0.22491050080131592, + -0.20500863553407087, + -0.1861287321458107, + -0.1668791495726342, + -0.14591541072361278, + -0.12198074826524263, + -0.0939439240782072, + -0.060833319272267976, + -0.021866391041297128, + 0.023526284897935238, + 0.07568302513527353, + 0.1346995827938769, + 0.20042453427499726, + 0.2724616386920489, + 0.350179117817103, + 0.432725623245806, + 0.5190524822002087, + 0.6079416483875286, + 0.6980386338138005, + 0.7878895652500784, + 0.8759813985418705, + 0.9607842379731002, + 1.0407946486625266, + 1.1145788190307726, + 1.1808144285677034, + 1.2383301035585614, + 1.2861413994642472, + 1.3234823319474998, + 1.3498315870567001, + 1.3649326721502686, + 1.3688074195242186, + 1.3617624206599876, + 1.344388146408878, + 1.3175506928475291, + 1.2823762793660012, + 1.240228810105645, + 1.192680987515413, + 1.1414796330711103, + 1.0885060209055633, + 1.0357321614110349, + 0.9851740804551167, + 0.9388432229130271, + 0.8986971646067705, + 0.866590842982271, + 0.8442295131975939, + 0.8331246027272061, + 0.83455357484033, + 0.8495248208412298, + 0.8787484849122028, + 0.9226139865596503, + 0.9811748473838248, + 1.054141255014746, + 1.1408806118150712, + 1.2404261238684349, + 1.3514932915503803, + 1.4725039713804606, + 1.6016174945848025, + 1.7367681553931504, + 1.8757082258013924, + 2.016055517210924, + 2.1553443963839953, + 2.2910790763351976, + 2.4207879442806375, + 2.542077660062469, + 2.6526857603032954, + 2.7505305359179806, + 2.833757012769324, + 2.900777955715761, + 2.9503089328872427, + 2.981396616921747, + 2.993439659709726, + 2.9862016530485107, + 2.959815875230779, + 2.9147817184204996, + 2.8519528889691195, + 2.772517667797504, + 2.6779717058769417, + 2.570084006121641, + 2.4508569033782974, + 2.3224809947813667, + 2.18728609013756, + 2.047689343382925, + 1.9061417893346693, + 1.7650745434427082, + 1.6268459252700849, + 1.4936907389801126, + 1.36767288691208, + 1.250642406848502, + 1.1441979119653163, + 1.04965527750486, + 0.9680232632777563, + 0.8999865900301379, + 0.8458968047410679, + 0.8057710795611863, + 0.7792988960608201, + 0.7658563754726935, + 0.7645278313801696, + 0.7741339483288964, + 0.7932658323521926, + 0.8203240412309816, + 0.8535615868040918, + 0.891129811581779, + 0.9311259794362589, + 0.9716413867006626, + 1.0108087963317403, + 1.0468480238708475, + 1.0781085590220179, + 1.1031081892864052, + 1.120566700097086, + 1.1294338565095914, + 1.1289110213856903, + 1.1184659303522042, + 1.0978403204362415, + 1.0670502927138328, + 1.0263794749396287, + 0.976365233283999, + 0.9177783583945361, + 0.8515968156105148, + 0.7789742981755483, + 0.7012044519972608, + 0.6196817476655829, + 0.5358600574058344, + 0.4512100493879066, + 0.36717653800418387, + 0.28513692575109917, + 0.2063618403209809, + 0.13197901028207834, + 0.06294133585386008, + 5.561808166845126e-16 + ], + [ + 0, + -0.053935733749469354, + -0.10093396395309494, + -0.14107642591566924, + -0.17468940227017207, + -0.20233411647112845, + -0.22479046114853116, + -0.243034482111907, + -0.2582102028658097, + -0.2715965237691688, + -0.28457006063847445, + -0.2985648963218231, + -0.31503030277037686, + -0.33538754823890987, + -0.36098693296571727, + -0.3930661962348385, + -0.43271140806359526, + -0.4808214005737776, + -0.5380767088012883, + -0.6049138803661109, + -0.6815058807834844, + -0.7677491695341333, + -0.8632578550953726, + -0.9673651591244836, + -1.0791322353254191, + -1.1973642018398938, + -1.3206330619643218, + -1.4473070112291677, + -1.5755854638390203, + -1.70353898232945, + -1.8291531648321244, + -1.9503754378526097, + -2.065163621690384, + -2.171535082668746, + -2.2676152626073396, + -2.3516843821522144, + -2.4222211506268145, + -2.477942380189391, + -2.517837494762738, + -2.5411970422391064, + -2.5476344590220927, + -2.5371004956502112, + -2.5098898871756234, + -2.4666400378830144, + -2.408321682285407, + -2.3362216784147156, + -2.2519182804732774, + -2.1572494212319033, + -2.0542747056361135, + -1.945231971695004, + -1.8324894090538593, + -1.7184943363640912, + -1.6057198229072713, + -1.4966103957959145, + -1.3935281000475828, + -1.298700174230907, + -1.2141695692794088, + -1.1417494732779994, + -1.0829829120921781, + -1.0391083768661424, + -1.0110322875350717, + -0.999308940014949, + -1.0041284075692625, + -1.0253126783084403, + -1.0623201154375086, + -1.1142581294789378, + -1.1799037570596005, + -1.2577316536933651, + -1.3459488328599873, + -1.4425353248255008, + -1.5452897899184168, + -1.6518790057223376, + -1.759890058645294, + -1.8668840097092971, + -1.970449773602998, + -2.068256949756592, + -2.1581063743824545, + -2.2379772222823355, + -2.306069575228897, + -2.360841487676001, + -2.401039717592427, + -2.4257234469414564, + -2.4342804888579326, + -2.4264356626381236, + -2.4022512087133245, + -2.3621193091192785, + -2.3067469698468592, + -2.237133705182781, + -2.1545426362256728, + -2.060465771993599, + -1.9565843781252845, + -1.8447254518141898, + -1.7268154095726858, + -1.6048321546150772, + -1.4807567216782587, + -1.3565256982981704, + -1.2339855930019301, + -1.1148502633710595, + -1.0006624320094082, + -0.8927602083175286, + -0.7922494014632236, + -0.6999822584267438, + -0.6165430943354089, + -0.5422411047038045, + -0.47711046514236743, + -0.4209176382231229, + -0.37317562416541566, + -0.3331647164164716, + -0.29995915944626067, + -0.2724589582438419, + -0.24942596077819051, + -0.22952322925725394, + -0.21135663599516072, + -0.19351756704788553, + -0.1746255927808838, + -0.15336996974531053, + -0.12854887248440322, + -0.09910531626038284, + -0.06415882056988965, + -0.02303197642148777, + 0.024728785207403105, + 0.0793387739601866, + 0.14076735356955133, + 0.2087371958338257, + 0.28273050119289805, + 0.36200202973279916, + 0.4455986080882782, + 0.5323846077866957, + 0.6210727334043914, + 0.7102593184890614, + 0.7984632071200061, + 0.8841672023039019, + 0.9658609916218384, + 1.0420844174891175, + 1.1114699452019547, + 1.172783197039469, + 1.2249604647433485, + 1.2671421846614743, + 1.2987014579624736, + 1.3192668201926563, + 1.3287386070422047, + 1.3272984229752613, + 1.315411392382369, + 1.2938210548187747, + 1.2635369521517184, + 1.2258151413895073, + 1.1821320479376127, + 1.1341522454707287, + 1.0836909061997404, + 1.0326718050611958, + 0.9830818797122141, + 0.936923442149065, + 0.896165204857328, + 0.8626933228827183, + 0.8382636620288821, + 0.8244564822209222, + 0.8226346743438017, + 0.8339066097309683, + 0.859094555804267, + 0.8987094816777176, + 0.9529329269606605, + 1.0216064391795403, + 1.1042289042652593, + 1.1999619048412482, + 1.3076430472368206, + 1.4258070049927158, + 1.5527138388643125, + 1.6863839755824543, + 1.824639064283635, + 1.965147784602963, + 2.105475557522831, + 2.2431370122379004, + 2.375649991972098, + 2.500589840632843, + 2.615642701461868, + 2.718656578749197, + 2.8076889637723808, + 2.8810499052244043, + 2.9373395106045703, + 2.9754789958059904, + 2.9947345522774826, + 2.9947334709776805, + 2.9754721457519087, + 2.937315771290936, + 2.8809897477956645, + 2.807563001084301, + 2.7184236183595716, + 2.615247381550841, + 2.4999599476486387, + 2.3746935746950677, + 2.2417394194719216, + 2.1034965353641515, + 1.9624187739093248, + 1.8209608393875658, + 1.6815247613901279, + 1.5464080353024245, + 1.4177546354720185, + 1.297510031665778, + 1.1873812381276183, + 1.0888027986625384, + 1.0029094638319016, + 0.9305161512051173, + 0.8721056007641873, + 0.8278239494179409, + 0.7974842557910841, + 0.780577813754404, + 0.7762929052884149, + 0.7835404648275331, + 0.8009859625767652, + 0.827086667439137, + 0.8601333247023033, + 0.8982951825336283, + 0.9396672270400804, + 0.9823184399096677, + 1.0243398764996605, + 1.063891375972429, + 1.0992457582587263, + 1.128829434076474, + 1.1512584520770521, + 1.1653691289033143, + 1.1702425504097644, + 1.1652223918896039, + 1.1499256778312665, + 1.1242462831257356, + 1.0883511631942029, + 1.0426694855375698, + 0.9878750150806562, + 0.9248622758889322, + 0.8547171681179867, + 0.7786828575160488, + 0.6981218719908922, + 0.614475432766796, + 0.5292211141982031, + 0.4438299647453433, + 0.3597242310329319, + 0.2782368071160925, + 0.20057348261239566, + 0.1277789874912232, + 0.06070772999554869, + 5.344934411386254e-16 + ], + [ + 0, + -0.05153213097427422, + -0.09616416437742488, + -0.13410351118057776, + -0.16579759397908703, + -0.19192050204854597, + -0.213353200142544, + -0.23115780713106027, + -0.24654661661294994, + -0.26084667061817773, + -0.2754608159012466, + -0.2918262670891542, + -0.311371769650205, + -0.33547449651310957, + -0.3654178241070028, + -0.4023511162569112, + -0.44725259813648166, + -0.5008963284583344, + -0.5638241780801962, + -0.636323599685561, + -0.7184118292191853, + -0.8098269988971448, + -0.9100264678753422, + -1.0181924943864182, + -1.1332451869025015, + -1.2538624863183843, + -1.3785067509373459, + -1.5054573457164935, + -1.632848481089832, + -1.7587114086898967, + -1.8810199649435488, + -1.9977383618033606, + -2.106870059164813, + -2.206506517516654, + -2.2948746230716197, + -2.3703816012866827, + -2.4316562878206134, + -2.477585707374613, + -2.507346018597796, + -2.5204270147349432, + -2.5166495217769977, + -2.4961752048564043, + -2.459508475395205, + -2.4074903816249384, + -2.3412845588998197, + -2.262355508964346, + -2.1724396642761925, + -2.0735098700224444, + -1.9677340782470059, + -1.8574291915308057, + -1.7450111143904061, + -1.632942165983771, + -1.5236770754511897, + -1.4196088195677197, + -1.3230155703539965, + -1.2360099976419756, + -1.1604921188290622, + -1.0981068064250437, + -1.050206955456641, + -1.0178231799606987, + -1.0016407538817773, + -1.0019843404244846, + -1.0188108694519313, + -1.0517107293509147, + -1.0999172425966948, + -1.1623241978393049, + -1.2375110204733326, + -1.3237749829815932, + -1.4191696902461628, + -1.5215489275263947, + -1.628614833482094, + -1.7379692604969708, + -1.8471671120374702, + -1.9537704035931085, + -2.055401780893187, + -2.1497962468436533, + -2.2348498964892363, + -2.308664536053041, + -2.3695871658069216, + -2.4162434345880506, + -2.4475643230157953, + -2.462805479176599, + -2.4615588106093567, + -2.443756125395302, + -2.4096648083782477, + -2.3598757112624584, + -2.2952836228263283, + -2.217060863159839, + -2.126624709343106, + -2.0255995053521176, + -1.91577443268257, + -1.7990580172432582, + -1.6774305201230142, + -1.5528954031900724, + -1.4274310741641967, + -1.3029440995737689, + -1.1812250283765937, + -1.0639078952200003, + -0.9524343722735834, + -0.8480234148669201, + -0.7516471019676902, + -0.6640132115084689, + -0.5855548967917958, + -0.5164276480591286, + -0.45651353738767286, + -0.40543256005097544, + -0.36256070598553275, + -0.327054225538935, + -0.2978793984695677, + -0.27384697809226993, + -0.25365036692718435, + -0.23590648907277334, + -0.21919826003475978, + -0.2021175184744766, + -0.183307277155763, + -0.16150217240002968, + -0.1355660420009158, + -0.10452563948015701, + -0.06759959577673888, + -0.02422186530900099, + 0.025940961377348, + 0.08297893516227585, + 0.14673490025958424, + 0.216807624754142, + 0.292561831482877, + 0.3731448703711763, + 0.4575095992761015, + 0.5444428772934908, + 0.6325989265058529, + 0.720536689051345, + 0.8067601994775038, + 0.8897609103463362, + 0.9680608540947239, + 1.040255497661952, + 1.10505514909537, + 1.1613238072234058, + 1.2081144057955555, + 1.244699490769383, + 1.2705964815323814, + 1.2855868010125038, + 1.2897283125272467, + 1.2833606690437633, + 1.2671033590863794, + 1.2418464183710929, + 1.2087339627405431, + 1.1691408814385784, + 1.1246432055877669, + 1.076982830484111, + 1.0280274178605393, + 0.9797264318501331, + 0.9340643667464115, + 0.8930123031273085, + 0.8584789794366829, + 0.8322625873480983, + 0.8160044905411812, + 0.8111460280144529, + 0.8188894955936769, + 0.8401643044461204, + 0.8755991954348732, + 0.9255012459279333, + 0.9898422446552639, + 1.0682528342969992, + 1.1600246349772414, + 1.2641203692913219, + 1.3791918156280543, + 1.5036052261231316, + 1.6354736632799651, + 1.7726955396117263, + 1.9129984917841798, + 2.0539875884545804, + 2.193196762591284, + 2.3281422772215925, + 2.4563769803430318, + 2.5755440814978328, + 2.6834291898673786, + 2.778009391561567, + 2.857498211175718, + 2.9203853980601253, + 2.965470598800938, + 2.9918901212224167, + 2.9991361583071887, + 2.9870680188366574, + 2.9559151009456324, + 2.9062715405612307, + 2.839082664097145, + 2.755623569001621, + 2.657470342090824, + 2.5464645995127517, + 2.4246721894602072, + 2.2943370355739345, + 2.1578312120413146, + 2.0176024279778013, + 1.8761201567053454, + 1.7358216736428298, + 1.5990592640613979, + 1.4680498290455135, + 1.344828055499156, + 1.2312042255289217, + 1.128727624292484, + 1.0386563663186539, + 0.961934301838873, + 0.8991754907434125, + 0.8506565466867003, + 0.8163169621798089, + 0.7957673319417968, + 0.7883052010910294, + 0.7929380816172898, + 0.8084130094642691, + 0.8332518596425406, + 0.8657915018486889, + 0.9042277673487588, + 0.9466621120737462, + 0.9911498030046099, + 1.0357484263305077, + 1.0785655171549668, + 1.117804141565257, + 1.151805321797991, + 1.179086282440641, + 1.1983736078413658, + 1.208630535277905, + 1.2090777615351573, + 1.1992073084760104, + 1.1787891717153358, + 1.1478706611216767, + 1.106768527931227, + 1.056054156093553, + 0.9965322704969631, + 0.9292137775668243, + 0.8552835003279404, + 0.77606369672263, + 0.6929743536339281, + 0.607491327116198, + 0.5211034498675022, + 0.4352697487670033, + 0.3513779078480721, + 0.2707050756209539, + 0.19438205116373503, + 0.12336179253809447, + 0.05839307618986406, + 5.123193964678516e-16 + ], + [ + 0, + -0.049127556636263926, + -0.09145170303299421, + -0.12730347129111347, + -0.15724729601519438, + -0.18206404507284052, + -0.20272787870956263, + -0.2203775440041229, + -0.23628285829676396, + -0.2518072627124474, + -0.2683674319788744, + -0.28739100671277534, + -0.31027356715594845, + -0.33833599160518596, + -0.37278333783512263, + -0.4146663517320099, + -0.46484664494438277, + -0.5239664941319824, + -0.5924241005517545, + -0.6703550130757945, + -0.7576202636593958, + -0.8538015956049552, + -0.9582039859095047, + -1.069865478018537, + -1.1875741550715264, + -1.309891900891642, + -1.4351844211440195, + -1.5616568346741966, + -1.687393999150338, + -1.8104046094757311, + -1.9286680052212115, + -2.040182547182846, + -2.1430143750870645, + -2.235345339737964, + -2.3155189140970407, + -2.3820829287286553, + -2.4338280468206586, + -2.46982099096623, + -2.489431655759579, + -2.492353384081861, + -2.478615847251691, + -2.448590146039171, + -2.402985936578304, + -2.342840577883243, + -2.26950049125438, + -2.184595111593698, + -2.0900039918646027, + -1.9878177901598046, + -1.8802940199242366, + -1.7698085740761655, + -1.6588041398433038, + -1.5497367004363143, + -1.4450213702257844, + -1.3469788305833184, + -1.2577836234387672, + -1.1794155190927416, + -1.1136151048493454, + -1.0618446432659514, + -1.025255125604424, + -1.0046603003860903, + -1.000518292328518, + -1.012921247367941, + -1.0415932493078675, + -1.085896557502322, + -1.1448460176490622, + -1.2171313040308935, + -1.3011464661105716, + -1.395026079760999, + -1.4966871477872052, + -1.6038757595409077, + -1.714217408604059, + -1.8252697833943012, + -1.9345767901378188, + -2.039722542272691, + -2.1383840555610876, + -2.228381423823437, + -2.3077243153383162, + -2.3746537229328637, + -2.427678019292501, + -2.4656025100969425, + -2.4875518377411514, + -2.492984763663857, + -2.4817010433547497, + -2.4538403003604006, + -2.409872999329884, + -2.3505838085784685, + -2.2770478251361945, + -2.1906003053283762, + -2.0928006974624243, + -1.9853919064433865, + -1.8702558298914478, + -1.7493662889585686, + -1.624740532560934, + -1.4983905198815584, + -1.3722751822068624, + -1.2482548316387534, + -1.1280488219037823, + -1.0131974770102825, + -0.9050291892005387, + -0.8046334514381815, + -0.7128404350298467, + -0.6302075538247889, + -0.5570132770396158, + -0.49325826763786146, + -0.43867373700806134, + -0.39273672410032895, + -0.3546918327705721, + -0.3235787992016274, + -0.298265115957844, + -0.27748281409795517, + -0.2598684029228888, + -0.2440048908836922, + -0.2284647627823094, + -0.21185276882987938, + -0.19284739082306268, + -0.17023988936249884, + -0.14296990264444695, + -0.11015666018086162, + -0.07112499146024287, + -0.02542544706905121, + 0.027151995354264706, + 0.08657099970418371, + 0.1525488965198824, + 0.22456366460650173, + 0.30186768714330103, + 0.3835079228724918, + 0.46835196470619406, + 0.5551193032367757, + 0.6424169751285266, + 0.7287786597116171, + 0.8127061942752922, + 0.8927124119504419, + 0.9673641674083218, + 1.035324405906578, + 1.0953921507820295, + 1.1465393328824183, + 1.1879434614810398, + 1.2190152380667347, + 1.2394203395337218, + 1.2490947426088517, + 1.2482531232341412, + 1.2373900390336667, + 1.2172737855780638, + 1.1889330033462466, + 1.1536362974020207, + 1.1128653112002471, + 1.0682818650929229, + 1.0216899247474511, + 0.974993300896671, + 0.930150096144569, + 0.8891250040229542, + 0.8538406278149365, + 0.8261290201838831, + 0.8076846484377518, + 0.8000199641216524, + 0.8044247001127185, + 0.8219299347680316, + 0.8532778529262853, + 0.8988980003165804, + 0.9588906744010242, + 1.033017924598508, + 1.120702452349182, + 1.2210345110425633, + 1.332786712112229, + 1.4544364513516477, + 1.5841954834581897, + 1.7200459975493203, + 1.8597823862436567, + 2.00105775982295, + 2.141434138487254, + 2.278435162735672, + 2.409600096775282, + 2.5325378642269074, + 2.644979850182066, + 2.744830229048497, + 2.830212633030465, + 2.8995120602138353, + 2.9514110320516695, + 2.9849191449024035, + 2.9993953158989832, + 2.994562196051874, + 2.9705124089224983, + 2.9277064669417636, + 2.8669624147823454, + 2.7894374453263935, + 2.6966019239346166, + 2.5902064362976627, + 2.4722426397760104, + 2.3448988438176586, + 2.2105113682559043, + 2.071512826058888, + 1.9303785470774693, + 1.7895723998517905, + 1.6514932786464414, + 1.5184235023904473, + 1.3924803216553043, + 1.2755716505000227, + 1.1693570339386623, + 1.075214731591214, + 0.9942156469955532, + 0.9271046638310328, + 0.8742897690890878, + 0.835839153493674, + 0.8114862858946873, + 0.800642765687525, + 0.8024185702769504, + 0.8156491377795312, + 0.838928562861664, + 0.8706480397872148, + 0.9090385648829719, + 0.9522168136540177, + 0.9982330380059456, + 1.0451197880882044, + 1.0909402520781148, + 1.1338350259531564, + 1.1720661733828932, + 1.2040575120168395, + 1.2284301646618394, + 1.2440325395004883, + 1.2499640493903945, + 1.2455920426975033, + 1.2305615929452378, + 1.204797977394732, + 1.1685018609090145, + 1.1221373864195818, + 1.066413552372265, + 1.0022594262020144, + 0.9307938969633429, + 0.8532908058874515, + 0.7711404074799802, + 0.6858082029981817, + 0.598792250558638, + 0.5115800902079969, + 0.4256064272344667, + 0.3422126927353785, + 0.26260954764839795, + 0.18784331648031374, + 0.1187672318898719, + 0.056018243791583926, + 4.898587196589409e-16 + ] + ], + "y": [ + [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + [ + 0, + 0.0007676059644469046, + 0.0016216519819783383, + 0.0025552485258622244, + 0.003558552558133107, + 0.004619036972158722, + 0.00572183685289155, + 0.00685016344937142, + 0.007985774966332694, + 0.009109491771397605, + 0.010201742419907482, + 0.011243126051624856, + 0.012214976234294869, + 0.013099911231086895, + 0.013882355955363997, + 0.014549021540496088, + 0.01508932947847656, + 0.0154957686437355, + 0.015764175184083275, + 0.01589392718782014, + 0.01588804817672975, + 0.015753215775511736, + 0.015499674311662706, + 0.015141052545666833, + 0.01469409015820811, + 0.014178278967920776, + 0.013615427060782729, + 0.013029156024816609, + 0.01244434325023413, + 0.011886522730513799, + 0.01138125894627699, + 0.01095350920147513, + 0.010626990189446175, + 0.010423564583367387, + 0.010362663069753609, + 0.010460756482916288, + 0.01073089157027815, + 0.01118230244985592, + 0.011820108047312422, + 0.012645103763616819, + 0.013653653375010342, + 0.014837684759504402, + 0.016184790537414957, + 0.017678432168913592, + 0.01929824353176029, + 0.021020427569299897, + 0.022818237312453422, + 0.024662530496314384, + 0.026522385163657455, + 0.028365762119587988, + 0.030160198911797376, + 0.031873519189271976, + 0.033474540859661894, + 0.03493376643314826, + 0.03622403931004666, + 0.037321150532178, + 0.038204381656200735, + 0.03885697089338263, + 0.03926649145889155, + 0.039425133141121775, + 0.03932988038775101, + 0.03898258265466658, + 0.03838991531711428, + 0.03756323203735692, + 0.03651831205670249, + 0.03527500836941264, + 0.03385680508123166, + 0.03229029439912869, + 0.030604585589319732, + 0.028830659831944362, + 0.027000686154489494, + 0.025147314512031515, + 0.023302962579502477, + 0.021499112917902633, + 0.019765636870935112, + 0.018130160849040136, + 0.016617489582015144, + 0.01524909949629392, + 0.014042713634019127, + 0.013011967521430455, + 0.012166173163534515, + 0.011510185945596954, + 0.011044376718762372, + 0.010764708798639342, + 0.010662917074565965, + 0.01072678397552236, + 0.01094050472623202, + 0.011285132210285896, + 0.011739089887578135, + 0.012278739636195878, + 0.012878990142071193, + 0.01351393057284597, + 0.014157473766214079, + 0.01478399304871238, + 0.015368937080022722, + 0.015889407782052598, + 0.016324687443580427, + 0.0166567024631985, + 0.016870412870380613, + 0.0169541187039541, + 0.016899676479841662, + 0.016702621291235186, + 0.016362192496111108, + 0.01588126339855172, + 0.01526617776019211, + 0.014526498325423737, + 0.013674674750097062, + 0.012725640333360103, + 0.011696348715948183, + 0.010605263181952818, + 0.009471812348441818, + 0.008315826820113816, + 0.007156971805223683, + 0.006014190724499322, + 0.004905174496516989, + 0.0038458704604906104, + 0.0028500438195400352, + 0.0019289030820290206, + 0.001090799281526378, + 0.0003410068106704303, + -0.00031840843973974197, + -0.0008886302332096258, + -0.0013740414024723863, + -0.0017820828976026666, + -0.002123026202666791, + -0.0024096651256012252, + -0.0026569350824362315, + -0.002881469906671531, + -0.003101107868939932, + -0.0033343599488470984, + -0.003599854425307405, + -0.003915772517406689, + -0.004299290097424863, + -0.0047660404032095335, + -0.0053296122003268975, + -0.006001096996673902, + -0.006788697714204293, + -0.007697409703626977, + -0.00872878318600957, + -0.009880774164965102, + -0.01114768862537667, + -0.012520222475081265, + -0.013985597253648526, + -0.015527789188356768, + -0.017127846783098012, + -0.01876428984153295, + -0.02041358070904012, + -0.022050656622458392, + -0.023649510430514074, + -0.02518380563271882, + -0.02662751071434276, + -0.02795553715519694, + -0.029144365276627823, + -0.03017264227098006, + -0.031021737327702983, + -0.031676239717442496, + -0.032124386997662076, + -0.03235841212949532, + -0.032374800206478836, + -0.03217444764522552, + -0.03176271902365503, + -0.031149399217060416, + -0.0303485410157076, + -0.029378210947662433, + -0.028260138514662907, + -0.027019276415896847, + -0.025683281526077434, + -0.02428192835602489, + -0.022846468407404685, + -0.02140895019647222, + -0.020001515730555645, + -0.01865568985016681, + -0.017401679082950823, + -0.01626769648674603, + -0.015279328391288276, + -0.014458957994780298, + -0.01382525945537922, + -0.013392774470244763, + -0.013171581395908152, + -0.013167064780297267, + -0.013379790801735361, + -0.013805491601281698, + -0.014435158912863505, + -0.015255244803517835, + -0.016247964796735702, + -0.017391696227097665, + -0.018661462423019207, + -0.0200294912911337, + -0.02146583512967255, + -0.02293903707139798, + -0.02441682848358611, + -0.02586684095896403, + -0.02725731623375388, + -0.0285577974737518, + -0.029739785873480758, + -0.030777347403919793, + -0.03164765579869724, + -0.03233145945561349, + -0.03281346181047595, + -0.03308260686690567, + -0.03313226388644252, + -0.03296030770069315, + -0.03256909364092287, + -0.03196532862812234, + -0.03115984246568542, + -0.0301672657662358, + -0.02900562316548782, + -0.02769585247523402, + -0.026261262156126827, + -0.024726940907166428, + -0.02311913423882212, + -0.02146460359525017, + -0.01978998390211585, + -0.01812115533371313, + -0.01648264461979694, + -0.014897070361882054, + -0.013384645623136111, + -0.011962749526577334, + -0.010645577782242507, + -0.009443880011473045, + -0.008364789497453567, + -0.007411748622157279, + -0.006584530810536899, + -0.0058793573544177165, + -0.005289105092468097, + -0.004803598638779124, + -0.004409978737992814, + -0.004093136432250196, + -0.0038362011015066586, + -0.003621069124183563, + -0.0034289589320761512, + -0.0032409776256857275, + -0.003038684088252832, + -0.0028046336937406313, + -0.002522890241183859, + -0.00217949165095346, + -0.0017628572041792129, + -0.0012641256628124055, + -0.0006774154348008261, + -6.734692708291278e-18 + ], + [ + 0, + 0.0015963423292227816, + 0.003360017028019801, + 0.005274187330629608, + 0.007316386113923138, + 0.009459141642869961, + 0.011670747032584113, + 0.013916153118803955, + 0.016157961163513732, + 0.0183574891582515, + 0.020475883492665697, + 0.02247524648146543, + 0.024319749722335582, + 0.02597670350498246, + 0.027417553502241992, + 0.028618777723911023, + 0.029562659159824384, + 0.030237912620302412, + 0.0306401479229752, + 0.03077215568451945, + 0.030644006451473547, + 0.030272958634113195, + 0.029683175572881117, + 0.028905256945956085, + 0.02797559449652373, + 0.026935566598968452, + 0.025830590379823493, + 0.024709053855538926, + 0.02362115374962185, + 0.02261766722455499, + 0.021748687642673438, + 0.02106235560559333, + 0.020603616882970906, + 0.020413038416658546, + 0.02052571238357521, + 0.02097027634703889, + 0.021768074867849267, + 0.022932484646588838, + 0.02446842140701286, + 0.02637204240070309, + 0.028630653720848075, + 0.031222826672766622, + 0.03411872238166728, + 0.03728061874858134, + 0.0406636289181721, + 0.04421659571919759, + 0.04788314219597184, + 0.05160285447475522, + 0.05531256989878523, + 0.05894774070209586, + 0.062443841542043764, + 0.06573778802280769, + 0.06876933294763118, + 0.07148240744736568, + 0.073826375338353, + 0.07575717103572242, + 0.07723829404178593, + 0.0782416363786876, + 0.07874812325897589, + 0.07874815169233432, + 0.07824181650453475, + 0.07723891827977387, + 0.07575875290758495, + 0.07382968759481362, + 0.07148853326579169, + 0.06877972809677627, + 0.06575435139675773, + 0.062468991047450274, + 0.05898449115366953, + 0.05536460934817022, + 0.05167461527502704, + 0.04797986309293873, + 0.044344371363296706, + 0.040829443405822244, + 0.037492360125130804, + 0.03438517546235261, + 0.031553642053382736, + 0.029036291443597657, + 0.02686368939817869, + 0.025057882551844036, + 0.023632047967882357, + 0.02259035223909375, + 0.021928021684056737, + 0.02163162009578917, + 0.021679525511296725, + 0.022042592711738147, + 0.022684983750118168, + 0.02356514484391528, + 0.024636904559820927, + 0.025850665439007967, + 0.027154659130476707, + 0.02849623376606804, + 0.02982314175411924, + 0.031084796400591044, + 0.03223346677837939, + 0.033225382029683705, + 0.03402171875638215, + 0.03458944826558157, + 0.03490202411227506, + 0.03493989452495727, + 0.03469082880824514, + 0.034150051575325274, + 0.03332018355269301, + 0.03221099259744458, + 0.030838963350674875, + 0.029226698499762123, + 0.027402168824025835, + 0.025397832947865774, + 0.023249650929984378, + 0.02099601839742895, + 0.01867664982551958, + 0.016331440723154317, + 0.013999338879890882, + 0.011717254458143216, + 0.009519037581695543, + 0.007434550210487276, + 0.005488856549524191, + 0.0037015530821566194, + 0.002086255625611037, + 0.0006502566737338669, + -0.0006056381763900129, + -0.001687090607345006, + -0.00260602745991432, + -0.0033802615669498394, + -0.004032945635654915, + -0.004591873646769419, + -0.005088648245444333, + -0.005557736133865597, + -0.006035436449857983, + -0.006558789452784604, + -0.00716445447807869, + -0.007887587022233857, + -0.008760744957160007, + -0.009812853241804345, + -0.011068255114486112, + -0.01254587564512457, + -0.014258520754221921, + -0.01621233143373681, + -0.01840640901765782, + -0.020832623044049422, + -0.0234756086331602, + -0.02631295549342414, + -0.029315585779519936, + -0.032448313186880046, + -0.03567057099698367, + -0.038937292405259685, + -0.04219992247935754, + -0.04540753761106308, + -0.04850804542916745, + -0.05144943590752845, + -0.054181052890453385, + -0.056654854506577416, + -0.05882663097395088, + -0.06065714911499825, + -0.062113194482781485, + -0.0631684843129035, + -0.06380442750353386, + -0.06401071141764166, + -0.06378569940969457, + -0.06313662750392865, + -0.06207959348239433, + -0.0606393366601047, + -0.058848811708620746, + -0.05674856491331412, + -0.05438592608960739, + -0.05181403392023828, + -0.04909071659682755, + -0.04627725325259137, + -0.04343704466931068, + -0.0406342240558741, + -0.03793224026968253, + -0.0353924466459216, + -0.033072728592246456, + -0.031026202296501715, + -0.029300015301153823, + -0.02793427735779495, + -0.026961146944427215, + -0.026404095180226073, + -0.026277364695297206, + -0.026585636407778175, + -0.027323912239233517, + -0.028477616681179086, + -0.030022914935135717, + -0.03192724021203051, + -0.03415001781891496, + -0.03664356900234187, + -0.039354173271494916, + -0.04222326419332461, + -0.04518873052688421, + -0.04818629212029019, + -0.05115091829001047, + -0.05401825547914833, + -0.05672603087047477, + -0.05921539931296695, + -0.06143220238962781, + -0.0633281106722197, + -0.06486162311977717, + -0.06599890110996665, + -0.06671441865798038, + -0.0669914148761926, + -0.06682213954828492, + -0.06620788771526873, + -0.06515882427429841, + -0.06369360464915995, + -0.061838802479965836, + -0.05962815987943019, + -0.05710168000204765, + -0.05430458536857208, + -0.051286168492034545, + -0.04809856378862369, + -0.044795471469170296, + -0.0414308650548925, + -0.03805771432362113, + -0.03472675486860394, + -0.03148533405932476, + -0.02837636106975411, + -0.025437385839316158, + -0.022699828427514997, + -0.02018837630138507, + -0.017920562755167076, + -0.01590653501347633, + -0.014149015729815455, + -0.012643456683167215, + -0.011378378619661483, + -0.010335886505430067, + -0.009492345067617512, + -0.00881919551245442, + -0.008283890821434324, + -0.007850924125370872, + -0.007482922413010904, + -0.007141776300881133, + -0.006789775811122095, + -0.0063907220923008325, + -0.005910985773364163, + -0.005320484142504575, + -0.004593551551523323, + -0.0037096803053114622, + -0.002654112732042413, + -0.001418269054835131, + -1.4054791784244343e-17 + ], + [ + 0, + 0.0024833296957056604, + 0.00520718842390496, + 0.008141938507937587, + 0.011249983583189585, + 0.014486829490071788, + 0.017802344031074783, + 0.021142182243926465, + 0.024449339452181227, + 0.027665790927109385, + 0.030734174618447373, + 0.03359947214791022, + 0.03621064314187798, + 0.03852216901303855, + 0.040495464460723385, + 0.04210011819355521, + 0.04331492860609869, + 0.04412870525861968, + 0.04454081288846129, + 0.04456144117623965, + 0.04421159043766041, + 0.043522770638226314, + 0.042536418452099156, + 0.04130304432377126, + 0.039881128459672725, + 0.03833579120044175, + 0.03673726913813746, + 0.03515923349589955, + 0.033676991548858635, + 0.03236561512485446, + 0.0312980423968571, + 0.030543200207931213, + 0.030164194024545007, + 0.03021661129456738, + 0.030746981521204107, + 0.031791432810723386, + 0.03337458009460517, + 0.03550867477531814, + 0.03819303933130925, + 0.041413803592193925, + 0.04514395212623555, + 0.04934368464703171, + 0.05396108372987566, + 0.05893307661792295, + 0.06418667067920701, + 0.06964043532604343, + 0.0752061970955161, + 0.08079090926525277, + 0.08629865297511927, + 0.09163272345289875, + 0.09669775268539167, + 0.10140181879328243, + 0.10565849248743131, + 0.10938877230531657, + 0.1125228628190365, + 0.11500175361165177, + 0.11677856145042559, + 0.11781960363216779, + 0.11810517680337036, + 0.11763002251285005, + 0.11640346816845472, + 0.11444923976197695, + 0.11180495051079996, + 0.10852127725172303, + 0.1046608438249877, + 0.10029683762481104, + 0.09551139179817546, + 0.09039377109318807, + 0.0850384039582644, + 0.07954280706252684, + 0.07400545086026292, + 0.06852361609956831, + 0.0631912912477587, + 0.05809715967363739, + 0.05332272311866329, + 0.048940604563649966, + 0.045013069140342234, + 0.04159079635876685, + 0.03871193075477717, + 0.03640143126000291, + 0.03467073232614073, + 0.033517722276063644, + 0.03292703669128237, + 0.0328706570667524, + 0.033308797655368046, + 0.03419105656418262, + 0.035457800919515614, + 0.03704175044020806, + 0.038869719179685076, + 0.04086447162801638, + 0.04294664688950207, + 0.04503670332689538, + 0.047056835919046074, + 0.04893281961406379, + 0.05059573414539996, + 0.051983529055417727, + 0.05304239195500346, + 0.05372788822869722, + 0.054005846340777576, + 0.053852969458096964, + 0.05325716111463716, + 0.052217559924342655, + 0.05074428571998971, + 0.04885790677200486, + 0.046588644740373004, + 0.04397534056045951, + 0.041064210396747916, + 0.03790742596986512, + 0.03456155784388973, + 0.03108592354736652, + 0.027540884612371513, + 0.023986137698163643, + 0.02047904489460418, + 0.01707304707981004, + 0.013816201869473431, + 0.01074988430298973, + 0.007907684051522588, + 0.005314527717172674, + 0.0029860488537397974, + 0.0009282218294878514, + -0.0008627312635506179, + -0.0024001585951071882, + -0.0037065266129115457, + -0.004812710285889268, + -0.005757044517650248, + -0.006584161935966061, + -0.007343647882449639, + -0.008088548258332693, + -0.008873769803881663, + -0.009754415300264111, + -0.010784098008634857, + -0.012013280354192243, + -0.013487681403792747, + -0.015246796084228895, + -0.017322566383052764, + -0.01973824103127131, + -0.02250745547992713, + -0.025633558466973114, + -0.029109205264406975, + -0.03291623095337429, + -0.03702580996561203, + -0.041398900831444485, + -0.04598696777085252, + -0.05073296363872951, + -0.05557255196799719, + -0.06043553961588615, + -0.06524748596762277, + -0.06993144992936609, + -0.07440983216952916, + -0.0786062673421185, + -0.08244751941911069, + -0.08586533281506839, + -0.08879819272124964, + -0.091192949964171, + -0.09300626872176258, + -0.09420585949777274, + -0.09477146477460432, + -0.09469557061509831, + -0.09398382402287955, + -0.09265514293929976, + -0.09074151317987116, + -0.08828747421230781, + -0.08534930326510896, + -0.08199391464318087, + -0.07829749813301277, + -0.07434392683114667, + -0.0702229704662227, + -0.06602835516419236, + -0.06185571450663225, + -0.057800479555679074, + -0.053955757194426156, + -0.05041024661531729, + -0.04724624306698999, + -0.044537776057578984, + -0.04234892615439141, + -0.04073236038889629, + -0.039728121171380394, + -0.039362697664548925, + -0.03964840190391271, + -0.040583064746502494, + -0.042150059153229016, + -0.04431865054813577, + -0.047044666238560656, + -0.05027146831247288, + -0.053931207236981006, + -0.05794632673998371, + -0.06223128462646233, + -0.06669444910581895, + -0.07124012610978422, + -0.07577067006060324, + -0.08018862867883024, + -0.08439887174336919, + -0.08831065424828664, + -0.09183956612672341, + -0.0949093235880237, + -0.09745336106789998, + -0.09941618772466154, + -0.10075447820496128, + -0.10143787390697653, + -0.10144947802697861, + -0.1007860351130334, + -0.09945779348427167, + -0.0974880565183815, + -0.09491243627645705, + -0.09177783004054252, + -0.08814114691183436, + -0.0840678174967518, + -0.07963012475156787, + -0.07490539814256818, + -0.06997411631022543, + -0.06491796533135759, + -0.05981790040942127, + -0.05475225837572815, + -0.04979496676858478, + -0.045013892517150336, + -0.04046936946401034, + -0.036212939212857724, + -0.03228633420650774, + -0.028720725667476594, + -0.025536252227140604, + -0.022741837901568345, + -0.0203353007226745, + -0.018303745986667744, + -0.016624230921705365, + -0.015264680782031788, + -0.01418503011598282, + -0.013338557385694737, + -0.012673376375221009, + -0.01213404402808327, + -0.011663241598237365, + -0.011203484346991366, + -0.010698814511709372, + -0.010096432920519397, + -0.00934822641203682, + -0.008412151093116639, + -0.007253435356323094, + -0.005845571382185906, + -0.004171069446503937, + -0.0022219555972444543, + -2.1943931114862367e-17 + ], + [ + 0, + 0.0034246641548217696, + 0.007153331743936164, + 0.011140964910712148, + 0.015332653515663649, + 0.019665180601642983, + 0.02406882847961949, + 0.028469377503397755, + 0.03279024447302175, + 0.03695470383369965, + 0.04088813251692745, + 0.044520218463616645, + 0.0477870735979016, + 0.05063319426872937, + 0.05301321588985652, + 0.05489341359610506, + 0.05625290706859598, + 0.05708453510657652, + 0.05739537385314715, + 0.05720688160841972, + 0.0565546626603093, + 0.055487852291993656, + 0.054068134841524215, + 0.05236841614845591, + 0.050471180685954894, + 0.048466571917857734, + 0.04645024172941552, + 0.04452102097164599, + 0.042778468073552164, + 0.0413203561866997, + 0.0402401613402845, + 0.03962461454647425, + 0.03955137968863178, + 0.04008691637119517, + 0.04128458277020309, + 0.043183027995494914, + 0.04580491669197022, + 0.04915602073191563, + 0.0532247040747043, + 0.05798181740828535, + 0.0633810092704193, + 0.06935945021993888, + 0.07583895653852471, + 0.08272749014026513, + 0.08992100209172343, + 0.09730557862891093, + 0.10475984101073231, + 0.11215754415890689, + 0.11937031396167616, + 0.1262704594902446, + 0.13273379428499266, + 0.1386424003675441, + 0.1438872697402486, + 0.14837076082257844, + 0.15200881148152137, + 0.15473285594005806, + 0.1564913997591367, + 0.15725121511745307, + 0.15699812756554737, + 0.15573737508920432, + 0.1534935304474268, + 0.1503099881062132, + 0.14624802741924636, + 0.14138547375922422, + 0.13581498883449594, + 0.12964203020324705, + 0.12298252780850319, + 0.11596033201218113, + 0.10870449294417307, + 0.10134643487416313, + 0.09401709166619507, + 0.08684407013331483, + 0.07994890725541637, + 0.07344448478069285, + 0.06743266076172762, + 0.06200217218048077, + 0.05722685612633601, + 0.0531642291736294, + 0.049854455852766856, + 0.04731972763789631, + 0.045564063917192844, + 0.04457353621374454, + 0.0443169067359162, + 0.044746662405357046, + 0.04580041608113757, + 0.04740263799966281, + 0.0494666726933765, + 0.05189699002453575, + 0.05459161363293468, + 0.05744466617564766, + 0.06034896832464624, + 0.06319862763901492, + 0.06589155415816352, + 0.0683318418474983, + 0.07043195880658586, + 0.07211469432314711, + 0.0733148172911058, + 0.07398040804321378, + 0.07407383408741344, + 0.0735723493679084, + 0.07246830626694184, + 0.07076897938055496, + 0.06849600989512435, + 0.06568448891637867, + 0.06238170712121939, + 0.058645606390482316, + 0.05454297643196897, + 0.05014744563564311, + 0.04553732036318493, + 0.04079333044058424, + 0.035996340708770204, + 0.031225089044280868, + 0.026554010278998532, + 0.02205120295302484, + 0.017776591893782834, + 0.01378033432962032, + 0.01010151075344435, + 0.006767134217361799, + 0.00379150335515726, + 0.0011759154091472064, + -0.0010912538891561078, + -0.0030341063295863625, + -0.004688425388297966, + -0.006100550010759341, + -0.0073259481252928565, + -0.008427527877541535, + -0.009473731482734535, + -0.010536462351916609, + -0.0116889006134032, + -0.013003265207158827, + -0.01454858229853204, + -0.0163885197971849, + -0.01857934627398068, + -0.021168069578473954, + -0.024190806045629558, + -0.027671425451553204, + -0.03162050997662079, + -0.03603465753240679, + -0.04089615110359996, + -0.046173006465504936, + -0.051819400994675545, + -0.05777647653689174, + -0.06397349967843598, + -0.07032935352593349, + -0.0767543264703647, + -0.08315215561090884, + -0.08942227574241582, + -0.09546221923959605, + -0.1011701079449743, + -0.10644717539645025, + -0.11120025648816148, + -0.11534418198146969, + -0.11880401716863061, + -0.12151708739850187, + -0.12343473802200822, + -0.12452378248953276, + -0.12476759968426496, + -0.1241668499265734, + -0.12273978823129719, + -0.12052216311888511, + -0.11756669933434029, + -0.11394217296796083, + -0.10973209744923017, + -0.10503304845374668, + -0.09995266468624449, + -0.09460736955943536, + -0.08911986577844826, + -0.08361646058985199, + -0.07822428381859464, + -0.07306846368559251, + -0.06826932669956566, + -0.06393968761397323, + -0.06018229353779218, + -0.05708748283092336, + -0.054731114482999325, + -0.053172817386282795, + -0.05245460142062401, + -0.052599863752113424, + -0.05361281441342697, + -0.05547833530935229, + -0.05816227651664805, + -0.06161218337293785, + -0.06575843762702177, + -0.07051578610136007, + -0.07578522113534654, + -0.08145616875844487, + -0.08740893328730055, + -0.09351734102642428, + -0.09965152112339894, + -0.1056807584982512, + -0.11147635220732058, + -0.1169144126508725, + -0.12187853268753326, + -0.12626227093483058, + -0.12997139023290338, + -0.13292580031074208, + -0.13506116097080698, + -0.13633011041862259, + -0.13670309250389615, + -0.1361687663837689, + -0.13473399222740717, + -0.13242339680614107, + -0.1292785329042091, + -0.12535665619506867, + -0.12072915232023655, + -0.115479655160451, + -0.10970190450247158, + -0.10349739730493825, + -0.09697289140961748, + -0.09023782372011603, + -0.08340170650525477, + -0.07657156554357741, + -0.06984948231277273, + -0.06333029938592376, + -0.05709954370602303, + -0.05123161658745625, + -0.045788292287296764, + -0.04081755897842528, + -0.03635282714346573, + -0.032412521015575395, + -0.029000058955415017, + -0.026104218817433925, + -0.02369987466911534, + -0.021749081926065415, + -0.02020247928561165, + -0.019000967997746258, + -0.018077622199313043, + -0.01735977842364706, + -0.01677124812144621, + -0.016234594193761102, + -0.015673411212590964, + -0.015014549218661062, + -0.014190222730837695, + -0.013139949830177662, + -0.011812270809471979, + -0.010166201786898123, + -0.008172385718557083, + -0.005813911229499545, + -0.0030867784128778596, + -3.037580115434353e-17 + ], + [ + 0, + 0.004415469164794989, + 0.00918681853690486, + 0.01425131203144025, + 0.019534902027938568, + 0.02495435814114457, + 0.030419663555842184, + 0.03583661518879555, + 0.04110955849134105, + 0.046144184026030585, + 0.05085031113505788, + 0.05514458411519827, + 0.05895300832371782, + 0.06221325751405295, + 0.06487668934393491, + 0.0669100132722966, + 0.06829656378384444, + 0.06903714183401295, + 0.06915039834328951, + 0.06867274521467445, + 0.06765779140916388, + 0.06617531378848955, + 0.06430978441541736, + 0.06215848748746024, + 0.05982926977949568, + 0.05743797811318171, + 0.05510564571082345, + 0.05295549611509227, + 0.051109838487803025, + 0.049686931406733206, + 0.04879789367040843, + 0.04854374005561317, + 0.049012617458488235, + 0.05027731244335582, + 0.05239309502699404, + 0.05539595568782017, + 0.05930128329830652, + 0.06410302116041312, + 0.06977332683429421, + 0.07626274927107424, + 0.08350092418985759, + 0.09139777598641805, + 0.09984520203798793, + 0.10871920338198177, + 0.11788241469045713, + 0.1271869765108571, + 0.1364776841445614, + 0.14559534050261855, + 0.1543802349891342, + 0.16267566705094172, + 0.17033143158520572, + 0.17720718395415475, + 0.18317560490866763, + 0.18812529021136457, + 0.19196329606903265, + 0.19461727948241428, + 0.1960371821060739, + 0.1961964169530497, + 0.19509252901811394, + 0.19274731334490075, + 0.1892063869234958, + 0.18453822376370316, + 0.1788326752300038, + 0.17219900993733808, + 0.1647635188952976, + 0.15666674187528926, + 0.14806037991092225, + 0.13910396620955925, + 0.12996137337443484, + 0.12079723857654132, + 0.11177339008434317, + 0.1030453583163301, + 0.09475905233480475, + 0.0870476785065189, + 0.08002897202186074, + 0.07380280423929617, + 0.06844921959699268, + 0.06402694533687282, + 0.06057240577648997, + 0.05809926062433351, + 0.0565984741651691, + 0.056038909354565056, + 0.056368428269001083, + 0.057515468267688406, + 0.059391051929311135, + 0.06189117860598316, + 0.06489953653550178, + 0.06829046708612804, + 0.07193210705199762, + 0.07568963110561482, + 0.07942851463461252, + 0.0830177372830093, + 0.0863328495736248, + 0.08925882895060402, + 0.09169265734454606, + 0.0935455597785053, + 0.0947448524114655, + 0.09523535853121542, + 0.0949803621051001, + 0.09396208029528395, + 0.09218164854849573, + 0.0896586241728607, + 0.08643002640867845, + 0.08254894258404034, + 0.07808274073154428, + 0.07311093876111766, + 0.06772278869538259, + 0.06201464137049909, + 0.05608716221775267, + 0.0500424721425045, + 0.04398128902632737, + 0.038000144961596094, + 0.032188752000256636, + 0.02662758502270149, + 0.02138574441769452, + 0.016519153762769512, + 0.012069138798858924, + 0.008061423930332373, + 0.004505571508575921, + 0.001394877552862693, + -0.0012932743785747543, + -0.0035966114284552487, + -0.0055667437559691274, + -0.007267544028283465, + -0.008773177473790703, + -0.010165835056615946, + -0.011533230160754134, + -0.01296592545672377, + -0.014554561203199251, + -0.016387058992994634, + -0.018545875815148574, + -0.02110538224849299, + -0.024129435651074126, + -0.02766921443595596, + -0.0317613730450485, + -0.03642656920949549, + -0.04166840571769522, + -0.047472818434167924, + -0.053807930986437096, + -0.060624384646785504, + -0.06785613977975212, + -0.07542173311033809, + -0.08322596329738474, + -0.09116196616875423, + -0.0991136307715047, + -0.10695829837039114, + -0.11456967892186455, + -0.12182091355351755, + -0.12858770734618666, + -0.13475145435941877, + -0.14020227642603506, + -0.14484189878506784, + -0.14858628909267968, + -0.1513679916680444, + -0.15313809586970148, + -0.15386778608866086, + -0.15354943077967723, + -0.1521971789899357, + -0.14984704471534557, + -0.14655647182789652, + -0.1424033849682406, + -0.13748474437442493, + -0.13191463481028842, + -0.1258219302640745, + -0.11934758662427652, + -0.11264162384393765, + -0.10585986694481118, + -0.09916052139286272, + -0.09270066274092122, + -0.08663272287177536, + -0.08110105562166398, + -0.07623866300485745, + -0.07216415972901652, + -0.06897904827085025, + -0.06676536960139523, + -0.06558378588236069, + -0.0654721413109856, + -0.06644453601613659, + -0.06849093577628808, + -0.07157732763508176, + -0.07564641854083072, + -0.08061886124743901, + -0.08639497919921132, + -0.09285695028526465, + -0.09987139847854058, + -0.10729233273384615, + -0.11496436434292537, + -0.12272612743035324, + -0.13041382257936002, + -0.13786480081425861, + -0.14492110440123446, + -0.15143288217829642, + -0.15726160035513403, + -0.1622829748530446, + -0.16638955815605316, + -0.16949292214560358, + -0.17152538828253944, + -0.17244126753745403, + -0.17221758438202647, + -0.17085427164680658, + -0.16837383581836926, + -0.16482050507790702, + -0.16025888476273223, + -0.1547721566595679, + -0.14845986932827154, + -0.14143537624478045, + -0.13382298671070408, + -0.12575490100799633, + -0.11736800602498844, + -0.10880061043360485, + -0.10018919939267926, + -0.09166528767342244, + -0.08335244708358908, + -0.07536357918809856, + -0.0677984977129721, + -0.06074187684635642, + -0.054261612123400214, + -0.04840762994222154, + -0.043211170274713745, + -0.03868455509741419, + -0.03482144277616922, + -0.031597556401652044, + -0.028971862196608807, + -0.026888162896100933, + -0.02527706071804157, + -0.024058235448115153, + -0.023142975485567492, + -0.022436893623374515, + -0.02184275501641952, + -0.0212633423288466, + -0.020604282504270925, + -0.019776760979460805, + -0.018700052424585535, + -0.01730380215496339, + -0.015529999089177316, + -0.013334589353382506, + -0.010688689141137854, + -0.007579365989543868, + -0.004009968957242072, + -3.9314484311946475e-17 + ], + [ + 0, + 0.005449960465010133, + 0.011294384140923331, + 0.017450882530927487, + 0.023824842787335876, + 0.030312166708526225, + 0.036802288247519944, + 0.043181389114940454, + 0.04933572672818451, + 0.05515498562255843, + 0.060535562580564695, + 0.06538369717687711, + 0.06961836314527975, + 0.07317384185931043, + 0.07600190713499505, + 0.07807356031505233, + 0.07938026593606919, + 0.07993465092982607, + 0.07977064395034804, + 0.07894304570714387, + 0.07752653576340204, + 0.07561413575868509, + 0.07331516307323437, + 0.07075272221012088, + 0.06806079329622526, + 0.06538098778520413, + 0.06285905041245603, + 0.06064119347322315, + 0.058870354388047524, + 0.05768247015528513, + 0.05720286259474661, + 0.057542826244221024, + 0.05879650642451939, + 0.06103814843907766, + 0.06431979027645898, + 0.0686694607449394, + 0.07408993294060835, + 0.08055806962693503, + 0.08802478281020656, + 0.0964156148820707, + 0.10563193353416454, + 0.11555271760409216, + 0.1260368964582534, + 0.13692619181525612, + 0.14804839840360115, + 0.15922102883999503, + 0.17025523888455368, + 0.1809599420075264, + 0.1911460171711769, + 0.2006305110186534, + 0.2092407353407778, + 0.21681816277471813, + 0.22322202812945832, + 0.22833254942785586, + 0.23205369154441646, + 0.2343154059906935, + 0.23507529269897384, + 0.2343196432820948, + 0.23206383987247348, + 0.22835209891166855, + 0.22325656480200845, + 0.21687577376614597, + 0.20933252321342452, + 0.20077119601993532, + 0.19135460204902013, + 0.18126041065670673, + 0.17067725756493862, + 0.1598006171108487, + 0.14882853630848325, + 0.13795733025988652, + 0.1273773391519811, + 0.11726884535970107, + 0.10779824508902958, + 0.09911456263863602, + 0.09134638689387144, + 0.08459929930166472, + 0.07895385056540254, + 0.07446412994121368, + 0.07115695663991198, + 0.06903170779542617, + 0.0680607821199175, + 0.0681906831036975, + 0.06934369080769488, + 0.0714200772989661, + 0.07430080793631834, + 0.07785065933516291, + 0.08192167520316612, + 0.08635687357256783, + 0.09099411344353334, + 0.0956700256243504, + 0.10022391168077843, + 0.10450151640211801, + 0.10835858301068842, + 0.11166410638204427, + 0.11430320764829896, + 0.11617956351838847, + 0.1172173352134728, + 0.11736255479016863, + 0.11658394048428641, + 0.11487312720479387, + 0.1122443130783418, + 0.10873333761936571, + 0.10439622131321033, + 0.09930720979590996, + 0.09355637806131568, + 0.08724686092068705, + 0.08049178501507279, + 0.07341098481370824, + 0.06612759004822566, + 0.05876457481195515, + 0.05144135903155318, + 0.04427055118797881, + 0.037354917076742516, + 0.030784653161269295, + 0.024635034849861757, + 0.018964500027596146, + 0.013813216655439355, + 0.009202170503792158, + 0.005132795441033607, + 0.001587154496374091, + -0.0014713344789067172, + -0.0040966489515708365, + -0.006358421739098663, + -0.008339757837870504, + -0.010134666556557708, + -0.011845177571389509, + -0.013578217870034296, + -0.015442332931144826, + -0.017544339733848453, + -0.019986001195959124, + -0.02286081134823581, + -0.02625097796918291, + -0.03022468459297043, + -0.03483370688051727, + -0.040111449482345955, + -0.04607145894220544, + -0.05270645615687925, + -0.05998791872119612, + -0.06786622947861175, + -0.07627139311857142, + -0.08511430807634404, + -0.09428856666661876, + -0.10367274268043038, + -0.11313311294263675, + -0.12252674788726625, + -0.13170489635197494, + -0.14051658177299753, + -0.14881232098531388, + -0.15644787305577487, + -0.1632879241014434, + -0.1692096149161446, + -0.17410582143147216, + -0.17788810350245768, + -0.18048924510454092, + -0.18186531857580893, + -0.18199721680624598, + -0.18089160999024428, + -0.17858129740964582, + -0.17512493936302365, + -0.1706061694431553, + -0.165132102517465, + -0.15883126861194352, + -0.1518510170708224, + -0.14435444851109927, + -0.13651694388653848, + -0.1285223701263041, + -0.12055905006525772, + -0.11281559052886486, + -0.1054766663196732, + -0.09871885937408398, + -0.09270665147506273, + -0.08758866563509451, + -0.08349424567930708, + -0.08053045579337578, + -0.07877957204043351, + -0.07829712633065083, + -0.07911055032483631, + -0.08121845258422555, + -0.08459054728637287, + -0.08916823737588196, + -0.09486583948421518, + -0.10157242271280437, + -0.10915421879887535, + -0.11745754762826217, + -0.12631218985364528, + -0.13553512781658178, + -0.14493456731365145, + -0.15431414620058495, + -0.16347723155118205, + -0.17223120518238522, + -0.18039163786704165, + -0.1877862554666229, + -0.19425860545349377, + -0.19967133972543055, + -0.20390903905949243, + -0.2068805157744135, + -0.2085205438935381, + -0.20879098001063043, + -0.20768125281660274, + -0.2052082144840646, + -0.20141536245504557, + -0.1963714552596585, + -0.1901685604414243, + -0.18291958612634943, + -0.1747553599204224, + -0.16582132935980157, + -0.15627396681563505, + -0.14627696836364354, + -0.1359973405112868, + -0.12560147073181838, + -0.11525127744173863, + -0.10510053239177994, + -0.09529144349542297, + -0.08595157902324212, + -0.07719120502918686, + -0.06910109707773032, + -0.06175087508267651, + -0.055187896658950096, + -0.049436730165516134, + -0.04449921393777316, + -0.04035509343893933, + -0.036963213571213606, + -0.03426322954008865, + -0.03217778680364495, + -0.03061510908215032, + -0.029471923437760627, + -0.028636643305154603, + -0.027992724260723113, + -0.02742210340830591, + -0.026808631626313608, + -0.026041408600030583, + -0.02501793353156749, + -0.023646989598476033, + -0.021851187485210682, + -0.019569102452243158, + -0.016756950201272124, + -0.013389758965878863, + -0.009462008495003919, + -0.004987720565017396, + -4.8714918725756224e-17 + ], + [ + 0, + 0.006521523232359227, + 0.013461307685477633, + 0.020715740022888337, + 0.028168639962808554, + 0.03569464365281609, + 0.04316285958283444, + 0.05044069942991049, + 0.05739778147079768, + 0.06390980206315203, + 0.06986227123990627, + 0.07515401167335695, + 0.07970032606771542, + 0.08343574628807784, + 0.08631628802495202, + 0.08832114726497568, + 0.0894537889784637, + 0.08974239388873843, + 0.0892396455690878, + 0.08802185700903922, + 0.08618745277720531, + 0.08385483955504351, + 0.08115971370398033, + 0.07825186925523403, + 0.07529158290338729, + 0.07244566390506255, + 0.06988326594282133, + 0.0677715647749669, + 0.06627140967701131, + 0.06553305817683372, + 0.06569210234650373, + 0.06686569096096777, + 0.06914914525655566, + 0.07261305697536238, + 0.07730094608159611, + 0.08322754225605897, + 0.09037773933795627, + 0.09870625565398747, + 0.10813801605081041, + 0.11856925384920054, + 0.129869313299926, + 0.14188311587784216, + 0.1544342373284662, + 0.16732852718738217, + 0.18035818890483193, + 0.1933062270644337, + 0.2059511587775218, + 0.21807187939990502, + 0.22945256843222886, + 0.23988751993999763, + 0.24918578310835648, + 0.2571755026047414, + 0.26370785516596607, + 0.2686604880956194, + 0.271940376930977, + 0.2734860331374045, + 0.2732690079838433, + 0.271294655374975, + 0.26760213396072374, + 0.26226364688569465, + 0.2553829356413135, + 0.24709306220155217, + 0.23755353052812833, + 0.22694681421163754, + 0.21547437108988046, + 0.20335223781156833, + 0.19080630719829558, + 0.17806739866070323, + 0.16536623666754632, + 0.15292845423548934, + 0.14096973755747222, + 0.1296912242420083, + 0.11927526128687614, + 0.10988162001653132, + 0.10164425399359808, + 0.09466867264815632, + 0.08902998838120595, + 0.08477167855948545, + 0.08190508652917407, + 0.08040966796011381, + 0.08023397092649806, + 0.08129732057242542, + 0.08349216242994133, + 0.08668700286194779, + 0.09072987107147157, + 0.09545221499182854, + 0.10067313344119996, + 0.10620383942730978, + 0.11185224460001429, + 0.11742755268362316, + 0.1227447503211359, + 0.12762888710528147, + 0.1319190425644965, + 0.1354718863585624, + 0.13816474869993395, + 0.13989813077831442, + 0.14059759940426736, + 0.1402150258381929, + 0.13872914543766127, + 0.13614543192082393, + 0.132495297276886, + 0.1278346452261377, + 0.12224182222148752, + 0.11581502489088191, + 0.10866923617585385, + 0.10093277389564712, + 0.09274354477652215, + 0.08424510390424804, + 0.07558262391701162, + 0.06689887995297909, + 0.05833035536542066, + 0.05000356955023734, + 0.0420317229943782, + 0.0345117460118316, + 0.027521826809620998, + 0.02111948179714435, + 0.015340216743472723, + 0.010196811863458522, + 0.005679247569588644, + 0.0017552708776610532, + -0.0016284142742737985, + -0.004544365818237665, + -0.007082079910691059, + -0.009345187476857435, + -0.011448246141126954, + -0.01351321337963438, + -0.0156656951721007, + -0.01803107045665115, + -0.020730595148937807, + -0.023877590285514075, + -0.02757381696799161, + -0.031906136263540996, + -0.03694354516973753, + -0.04273467035227884, + -0.0493057898467709, + -0.05665943956823648, + -0.06477364662827773, + -0.0736018154920528, + -0.08307327631634591, + -0.09309448781574498, + -0.10355087013435015, + -0.1143092268812238, + -0.12522070013158262, + -0.13612418819188526, + -0.14685014363166532, + -0.15722465881238523, + -0.16707373815798654, + -0.17622765092077286, + -0.18452525534561692, + -0.19181818500534975, + -0.19797479068312213, + -0.20288373645791552, + -0.20645715648482507, + -0.20863328916597754, + -0.20937851773537616, + -0.20868876043265217, + -0.20659016907174624, + -0.2031391115385459, + -0.19842143116601627, + -0.19255099360801153, + -0.18566754932804225, + -0.1779339567045687, + -0.1695328266118106, + -0.1606626637710504, + -0.15153359282276285, + -0.14236276762856973, + -0.13336957050909812, + -0.12477071375214048, + -0.11677535864067819, + -0.10958036737463274, + -0.10336580058429766, + -0.09829076771685982, + -0.0944897295471721, + -0.09206934161127207, + -0.0911059147370625, + -0.09164355435555044, + -0.09369302426873788, + -0.097231363414718, + -0.10220226632280979, + -0.10851721982540924, + -0.11605737062946207, + -0.12467608098609019, + -0.1342021133544399, + -0.14444337003277408, + -0.15519110058910904, + -0.16622447888443748, + -0.17731544281155026, + -0.1882336837813067, + -0.19875166962235505, + -0.20864958399947306, + -0.21772006771074726, + -0.22577265223682377, + -0.23263778356082337, + -0.23817034436538242, + -0.24225259499411617, + -0.2447964677355522, + -0.24574516469929142, + -0.2450740264205098, + -0.2427906559357976, + -0.2389343009891017, + -0.23357451481265046, + -0.22680913314955045, + -0.21876162142228273, + -0.20957786080957488, + -0.19942245511277182, + -0.18847465135511346, + -0.1769239757978255, + -0.16496569326796798, + -0.1527962012298029, + -0.1406084708156153, + -0.12858764505316636, + -0.11690689984341261, + -0.10572366597866102, + -0.09517630083648745, + -0.08538128658582465, + -0.07643101809860149, + -0.06839222861823807, + -0.0613050849766126, + -0.055182967182244316, + -0.050012929949515034, + -0.04575682663298305, + -0.04235305949891153, + -0.03971890471941462, + -0.03775334629908093, + -0.036340340690485924, + -0.03535242343083541, + -0.03465456099292392, + -0.03410814538783635, + -0.03357502601999827, + -0.032921472947089865, + -0.032021968040233995, + -0.03076272550851114, + -0.029044850715189332, + -0.026787055977543005, + -0.0239278638566812, + -0.020427242006047116, + -0.016267628611204874, + -0.01145432343824817, + -0.006015236107340801, + -5.852348480925823e-17 + ], + [ + 0, + 0.0076228005374259535, + 0.01567161206839065, + 0.02402043836380985, + 0.032530978654174106, + 0.041056675986922454, + 0.049447014575838937, + 0.05755195121816289, + 0.06522636213370367, + 0.07233438590059955, + 0.07875354554460492, + 0.08437853822596651, + 0.08912458922735338, + 0.09293027787279433, + 0.09575975632864886, + 0.09760429762022188, + 0.09848312625637952, + 0.09844350316140826, + 0.09756005570836791, + 0.0959333630507883, + 0.09368782617070928, + 0.09096887061543679, + 0.08793954731350363, + 0.08477661270031689, + 0.08166618324264976, + 0.07879907097410906, + 0.07636591554430411, + 0.07455223431118257, + 0.07353351500846968, + 0.07347047541309686, + 0.07450461121309374, + 0.07675414700449298, + 0.08031049617232483, + 0.08523532355427228, + 0.09155829053179586, + 0.09927554588854427, + 0.10834900781740481, + 0.11870646328533864, + 0.13024249104999422, + 0.14282019445427757, + 0.15627371020219807, + 0.17041144013402545, + 0.18501993504653805, + 0.19986834329136574, + 0.21471332263749726, + 0.22930430205916075, + 0.24338897100461715, + 0.25671886754563167, + 0.26905493375993206, + 0.280172906842031, + 0.2898684177752099, + 0.2979616758545459, + 0.3043016267761642, + 0.3087694841768256, + 0.31128154912834477, + 0.3117912488104719, + 0.3102903439992369, + 0.3068092746689011, + 0.30141663343718694, + 0.29421777728873355, + 0.28535260848715216, + 0.27499257533336635, + 0.26333696196654927, + 0.25060855328275944, + 0.23704877585480127, + 0.2229124281149722, + 0.20846212270986753, + 0.19396257061979102, + 0.17967484019375074, + 0.1658507246001999, + 0.1527273483279739, + 0.14052213736430524, + 0.12942826867734328, + 0.1196107028623364, + 0.11120288956428308, + 0.10430421891655658, + 0.09897827413761205, + 0.09525192105103232, + 0.09311525011325428, + 0.09252236604278784, + 0.0933929998458707, + 0.09561489842203237, + 0.09904692848697562, + 0.10352281471799532, + 0.10885541721677726, + 0.11484144095321981, + 0.12126646009994109, + 0.127910133321802, + 0.13455148230730013, + 0.14097410520219006, + 0.14697119913528756, + 0.15235027163919854, + 0.15693742931566862, + 0.1605811433550573, + 0.16315540520408914, + 0.16456220143804234, + 0.16473325433469072, + 0.16363099332861103, + 0.16124874197708405, + 0.15761012480582515, + 0.15276771793124294, + 0.14680098618920437, + 0.1398135671701336, + 0.13192997862844216, + 0.12329183980345147, + 0.11405370891252185, + 0.10437864816777699, + 0.0944336339047233, + 0.08438493264521282, + 0.07439356407499848, + 0.06461096900129208, + 0.05517499444896553, + 0.04620629931102282, + 0.03780527261640018, + 0.03004954280794504, + 0.022992140785406446, + 0.016660362261384173, + 0.011055356640399696, + 0.006152450628672013, + 0.0019021955972531633, + -0.0017678911593396786, + -0.004950939224112566, + -0.007757756728390502, + -0.010313360887953623, + -0.0127531005302837, + -0.015218474480203312, + -0.017852757750522388, + -0.02079655269502545, + -0.02418338448901231, + -0.028135459449008225, + -0.03275970080665835, + -0.03814416970733442, + -0.04435496958106339, + -0.0514337198716068, + -0.05939567071260228, + -0.06822851386796949, + -0.07789192751523383, + -0.08831787369044333, + -0.09941164790370854, + -0.11105366106137086, + -0.12310191488312092, + -0.13539511395897133, + -0.14775634090889875, + -0.15999720621111937, + -0.17192237153329812, + -0.18333433516108846, + -0.19403836063518853, + -0.20384742517810073, + -0.21258706303830102, + -0.22009998054919222, + -0.22625032446199903, + -0.23092749285740974, + -0.23404938848748505, + -0.2355650274942262, + -0.23545643177734435, + -0.23373975046815645, + -0.23046557458911215, + -0.2257184285825598, + -0.21961544249594955, + -0.21230422871826557, + -0.203960006777412, + -0.1947820383450199, + -0.184989451791294, + -0.17481655096032694, + -0.16450771591333063, + -0.15431201388572738, + -0.14447764635927077, + -0.13524636276720706, + -0.1268479728081463, + -0.11949508759973165, + -0.1133782149918222, + -0.10866132639419833, + -0.10547800164433366, + -0.10392824500571074, + -0.10407604966996005, + -0.10594777051649731, + -0.10953134578817188, + -0.1147763882340375, + -0.12159514563924428, + -0.1298643100088884, + -0.13942763449992376, + -0.15009929799385693, + -0.1616679394402437, + -0.17390126820909632, + -0.18655114305569098, + -0.19935900125500366, + -0.21206151127290165, + -0.22439631720501974, + -0.23610774125488376, + -0.24695231178545615, + -0.25670398892898405, + -0.26515896726708904, + -0.2721399455092431, + -0.27749976614547567, + -0.2811243434064362, + -0.28293481515257746, + -0.28288887310921157, + -0.2809812457040684, + -0.27724332816231123, + -0.27174197497135594, + -0.2645774898442412, + -0.2558808673973194, + -0.2458103584510227, + -0.2345474467318818, + -0.22229233841599352, + -0.20925907708004254, + -0.19567040495025798, + -0.18175249666637075, + -0.1677296939852353, + -0.15381936889305717, + -0.1402270385100992, + -0.12714184806868956, + -0.11473252831005089, + -0.10314392113341803, + -0.09249415256081339, + -0.08287251542675313, + -0.07433810608400535, + -0.06691924028959743, + -0.06061365377898495, + -0.055389473342121034, + -0.05118692497437066, + -0.04792072736679116, + -0.04548310207887245, + -0.04374731662149601, + -0.042571663741758116, + -0.04180376976232937, + -0.04128511714104097, + -0.04085566166692754, + -0.0403584230086288, + -0.03964392871491073, + -0.03857439619275049, + -0.037027544537359056, + -0.03489993816890584, + -0.032109776782420274, + -0.028599060818500034, + -0.024335078137481883, + -0.01931117540885742, + -0.013546796457471923, + -0.007086788962680756, + -6.867870746608346e-17 + ], + [ + 0, + 0.008745792019826004, + 0.01790828145055134, + 0.02733837238351718, + 0.03687555697048651, + 0.046352635234073465, + 0.05560064238359962, + 0.06445385165505613, + 0.07275471847131758, + 0.08035863293948364, + 0.08713835233851674, + 0.09298799318843234, + 0.09782647353516673, + 0.10160030995751135, + 0.1042856901572793, + 0.10588976042138666, + 0.10645108728238094, + 0.10603927384858276, + 0.10475373299434249, + 0.10272164134758946, + 0.10009511923694062, + 0.09704770192734337, + 0.09377018607034937, + 0.0904659518498389, + 0.08734587539377575, + 0.08462295728568431, + 0.08250680115429318, + 0.08119808113184675, + 0.08088313831941055, + 0.08172884423577668, + 0.08387786359747147, + 0.0874444398095792, + 0.09251081445281692, + 0.0991243771220301, + 0.10729562456676116, + 0.11699698862984086, + 0.12816257145102958, + 0.1406888043157191, + 0.15443602392712563, + 0.1692309373217621, + 0.18486992468994198, + 0.20112310854964585, + 0.21773909857014256, + 0.23445030432818978, + 0.2509786938294653, + 0.267041864103762, + 0.2823592818755358, + 0.2966585474340629, + 0.3096815335080384, + 0.3211902532288954, + 0.33097231709793284, + 0.338845848119602, + 0.34466373670799566, + 0.3483171323178132, + 0.3497380866254462, + 0.34890128305839885, + 0.3458248090581919, + 0.3405699501393265, + 0.33324000802376774, + 0.32397816832210574, + 0.3129644658346956, + 0.30041191700847386, + 0.286561908885283, + 0.271678951533496, + 0.25604491603698476, + 0.23995289225750566, + 0.22370080949386417, + 0.2075849686184557, + 0.19189363614822785, + 0.17690084895967867, + 0.16286057303190415, + 0.15000135083118393, + 0.13852155995269566, + 0.12858539070604996, + 0.12031963283936467, + 0.11381134197187714, + 0.10910643502972481, + 0.10620924157549287, + 0.10508301493835352, + 0.10565138405048291, + 0.10780070443884678, + 0.1113832454570114, + 0.11622113108919557, + 0.12211093399758444, + 0.12882880734088215, + 0.1361360266312695, + 0.14378480481070766, + 0.15152423802937523, + 0.15910623742842828, + 0.16629130360858038, + 0.17285400535956388, + 0.1785880325009155, + 0.18331070412594605, + 0.1868668278545286, + 0.1891318225223109, + 0.19001403563860553, + 0.18945620745633387, + 0.1874360550999774, + 0.18396597235056478, + 0.1790918628368752, + 0.1728911459771494, + 0.16546999551860425, + 0.15695988942426709, + 0.14751356669042276, + 0.13730050102823418, + 0.12650201285770096, + 0.11530614946045782, + 0.1039024682178781, + 0.09247685950389227, + 0.08120654397545846, + 0.07025537376240816, + 0.05976955854260666, + 0.049873925920172195, + 0.04066881120238274, + 0.03222765496211344, + 0.024595368104006032, + 0.017787503999708486, + 0.011790256132903713, + 0.0065612781349976635, + 0.0020313016443008333, + -0.0018934933707801976, + -0.005328420793497546, + -0.008406625943940713, + -0.011274917260996407, + -0.014089204033868201, + -0.017009662522956704, + -0.02019576005992845, + -0.023801270644231227, + -0.027969416056197113, + -0.032828263569492935, + -0.03848650503899439, + -0.04502973262003814, + -0.052517313878388525, + -0.06097995388925203, + -0.07041801447778326, + -0.08080064146022291, + -0.09206573008856779, + -0.10412073740194046, + -0.11684432838602442, + -0.130088821287912, + -0.14368337667204145, + -0.15743785535925714, + -0.17114725275891182, + -0.18459660173250494, + -0.1975662234099341, + -0.20983719564377956, + -0.22119690228698774, + -0.23144452338831503, + -0.24039632680672315, + -0.24789062565210893, + -0.25379227327967385, + -0.25799657812790894, + -0.26043253424346435, + -0.2610652795529832, + -0.2598977124281802, + -0.2569712173946289, + -0.25236547245931196, + -0.24619733294550264, + -0.23861880937376967, + -0.2298141792554974, + -0.21999629411774013, + -0.20940216312340795, + -0.19828791279026128, + -0.18692323809359965, + -0.1755854732658434, + -0.164553420553449, + -0.1541010818052161, + -0.14449144087518018, + -0.13597044434293248, + -0.12876132398775378, + -0.12305939689177765, + -0.11902746816907382, + -0.11679194738128718, + -0.11643977304094828, + -0.11801622062271666, + -0.1215236486598867, + -0.12692121530392528, + -0.13412557470770373, + -0.14301253931801475, + -0.15341967119616548, + -0.16514974338592475, + -0.17797499165386685, + -0.19164205814200463, + -0.20587751205359564, + -0.22039381883949116, + -0.23489561879582044, + -0.24908616877992362, + -0.26267379707380145, + -0.275378221360102, + -0.2869365833235496, + -0.2971090604608812, + -0.3056839260989759, + -0.3124819421260634, + -0.31735998520155506, + -0.32021382582580094, + -0.32098000016425715, + -0.3196367364275918, + -0.3162039203730522, + -0.310742107555555, + -0.30335061275559755, + -0.29416472898872914, + -0.28335214912258216, + -0.27110868189127285, + -0.25765337054886633, + -0.24322313614682742, + -0.2280670781257478, + -0.21244057232545863, + -0.1965993104678834, + -0.18079342556749803, + -0.16526184457674453, + -0.1502270029674719, + -0.13589004605917432, + -0.12242662898595658, + -0.10998341157679278, + -0.0986753265037712, + -0.08858367928295734, + -0.07975511758943842, + -0.07220148540161843, + -0.06590055526886487, + -0.06079761005566122, + -0.05680782440074219, + -0.0538193763658368, + -0.05169720182527513, + -0.050287288507568584, + -0.0494213936279567, + -0.04892205906419013, + -0.04860779126856752, + -0.048298269738359594, + -0.047819447959954145, + -0.04700841428817892, + -0.045717887123549295, + -0.04382022882490153, + -0.04121087578187019, + -0.03781109763700879, + -0.033570016392761526, + -0.0284658356113176, + -0.02250625062001513, + -0.01572803204524861, + -0.008195796570306385, + -7.911206545913124e-17 + ], + [ + 0, + 0.009881961576567316, + 0.02015349359512294, + 0.03064214572541813, + 0.041165593656206124, + 0.05153702230488309, + 0.06157065703093032, + 0.07108729446831889, + 0.07991968432358522, + 0.08791761703475012, + 0.09495257946520541, + 0.10092185163566304, + 0.1057519316062308, + 0.10940119265677538, + 0.111861696450047, + 0.11316010740823702, + 0.11335767654823033, + 0.11254928692462633, + 0.11086157702029802, + 0.10845018229133196, + 0.10549615801329283, + 0.1022016680077397, + 0.09878504320743815, + 0.09547533085184974, + 0.09250646896015659, + 0.09011123124991219, + 0.08851509458071069, + 0.08793018411904813, + 0.08854945065221592, + 0.09054122983186094, + 0.09404432470479772, + 0.09916374088718395, + 0.10596718844528782, + 0.11448244633141566, + 0.124695664530283, + 0.13655065640500325, + 0.14994920964888536, + 0.1647524193417717, + 0.18078302149188755, + 0.1978286807368737, + 0.21564616219281216, + 0.2339662953656093, + 0.2524996181245064, + 0.27094257147992856, + 0.28898410173993727, + 0.3063125158984349, + 0.32262242910684064, + 0.3376216399809297, + 0.35103777038184647, + 0.362624511172907, + 0.37216732418182424, + 0.37948846298635175, + 0.3844511908947401, + 0.3869630932324728, + 0.3869784023213566, + 0.3844992768313341, + 0.37957600193443225, + 0.372306102292939, + 0.36283238574768417, + 0.3513399610085282, + 0.3380522970685663, + 0.3232264148714521, + 0.3071473224021933, + 0.29012182234324135, + 0.2724718363024482, + 0.2545274010162606, + 0.23661949958409728, + 0.2190728945135771, + 0.20219912906280849, + 0.1862898590652939, + 0.17161066922327334, + 0.15839551596002036, + 0.14684192362458853, + 0.13710704252068043, + 0.12930465633536006, + 0.12350320358650044, + 0.11972485325332625, + 0.11794564940137144, + 0.11809671398200948, + 0.12006647170376136, + 0.12370383655462672, + 0.1288222767937981, + 0.13520465458008837, + 0.14260871836314254, + 0.1507731111667643, + 0.15942374630044384, + 0.16828039411981285, + 0.17706331940245373, + 0.1854998087998017, + 0.1933304316586846, + 0.20031488516997653, + 0.20623728609505645, + 0.21091078595210425, + 0.21418140414058967, + 0.2159309935978825, + 0.21607927570954696, + 0.2145849047786534, + 0.21144554680851835, + 0.20669698205669437, + 0.20041126515985985, + 0.19269400000396314, + 0.1836808083414378, + 0.17353309089725172, + 0.16243319687091065, + 0.15057913191052844, + 0.1381789454616402, + 0.12544494561572886, + 0.11258789303027716, + 0.09981132508722039, + 0.08730615722018215, + 0.07524570038912293, + 0.06378122222324492, + 0.05303816468609073, + 0.04311311361783265, + 0.03407159562647006, + 0.025946756039143124, + 0.018738948540797266, + 0.012416243306468839, + 0.006915836480074032, + 0.0021463203741795374, + -0.002009248643094878, + -0.0056895683782931935, + -0.009050697570334209, + -0.012261169556210073, + -0.015496744154061846, + -0.018934938632098698, + -0.022749484577369975, + -0.02710485965769934, + -0.03215104162528494, + -0.03801862648001732, + -0.0448144436283414, + -0.0526177883654271, + -0.06147737638694081, + -0.07140910669294087, + -0.08239469864039954, + -0.09438124655013014, + -0.10728171174054112, + -0.12097634773726357, + -0.13531503030264125, + -0.15012044045114997, + -0.16519202636013738, + -0.18031064961439555, + -0.19524380305870445, + -0.20975127213863357, + -0.2235910993820011, + -0.2365257029285118, + -0.24832799498382752, + -0.25878734489484984, + -0.26771523425771226, + -0.2749504580240314, + -0.28036373581372503, + -0.2838616113311943, + -0.2853895345865511, + -0.2849340411372134, + -0.28252396431164456, + -0.27823063982375246, + -0.2721670867575333, + -0.2644861739917982, + -0.25537780612484723, + -0.24506518723048168, + -0.2338002437279129, + -0.22185830870847295, + -0.20953218870659643, + -0.19712574966497476, + -0.18494717132800645, + -0.17330202818758536, + -0.16248636017289855, + -0.15277989738703945, + -0.14443960031070688, + -0.13769367007830924, + -0.13273617284228617, + -0.1297224081284, + -0.12876513378598345, + -0.1299317400691821, + -0.13324244303310573, + -0.13866954333402806, + -0.14613777127020028, + -0.15552571310316526, + -0.16666828798622105, + -0.17936021982275385, + -0.19336042469142065, + -0.20839721268441802, + -0.22417418363999742, + -0.24037667978222793, + -0.25667864511035776, + -0.2727497318265973, + -0.2882624883859878, + -0.3028994620320872, + -0.3163600509867877, + -0.32836694773248304, + -0.3386720249036363, + -0.3470615289432294, + -0.3533604635410655, + -0.35743606454041577, + -0.3592002899936194, + -0.3586112728260055, + -0.3556737085479929, + -0.35043817602571725, + -0.34299941485575974, + -0.33349360776601517, + -0.3220947400761646, + -0.3090101300233721, + -0.294475243163759, + -0.27874792062916354, + -0.2621021643535391, + -0.24482163216647998, + -0.22719300165329565, + -0.20949936376600028, + -0.1920138052987268, + -0.1749933335734052, + -0.15867328717208182, + -0.14326236354836488, + -0.12893837818529952, + -0.11584485105129494, + -0.10408849491743377, + -0.09373765717185732, + -0.08482174267512786, + -0.07733162054724534, + -0.07122099317774919, + -0.06640868181770428, + -0.0627817604409862, + -0.06019944871414166, + -0.05849765640444377, + -0.05749405584042972, + -0.05699354650331767, + -0.056793966776142624, + -0.05669190252738665, + -0.05648844068146248, + -0.055994718257739724, + -0.05503712347441543, + -0.05346201525012615, + -0.051139840540901746, + -0.04796854508481875, + -0.04387619187780613, + -0.038822722592598, + -0.032800819646696115, + -0.025835850152490375, + -0.01798489694597926, + -0.009334905681965737, + -8.974889810989014e-17 + ], + [ + 0, + 0.011022352745888276, + 0.022388864193017933, + 0.033903951249642, + 0.04536434496322424, + 0.056565114366306506, + 0.06730576103157976, + 0.07739622059178955, + 0.08666260960566383, + 0.09495256242965958, + 0.1021400130315736, + 0.10812929069973597, + 0.11285841600993697, + 0.11630150377506579, + 0.11847020250847588, + 0.11941412460807103, + 0.11922024739302234, + 0.11801129164559959, + 0.11594311075766123, + 0.11320114928650522, + 0.10999605403721513, + 0.10655854309133278, + 0.10313365792695457, + 0.09997454041903969, + 0.09733588964291782, + 0.09546726268779046, + 0.09460638887517828, + 0.0949726677264181, + 0.09676101769571027, + 0.10013623514983055, + 0.10522801150656169, + 0.1121267411162571, + 0.12088023375407361, + 0.13149142393889401, + 0.14391714523742916, + 0.15806801183811178, + 0.1738094226252904, + 0.19096367541678033, + 0.2093131516281372, + 0.22860450507355948, + 0.24855376356512898, + 0.2688522290523341, + 0.2891730418244017, + 0.30917825728522336, + 0.3285262704327845, + 0.34687941377135056, + 0.36391154919718227, + 0.3793154735657779, + 0.3928099612020716, + 0.40414627447826945, + 0.4131139855745113, + 0.4195459683710426, + 0.4233224387179075, + 0.4243739436246328, + 0.42268322466903974, + 0.418285907541296, + 0.4112699974704565, + 0.40177418864950415, + 0.38998502399105783, + 0.37613296892242404, + 0.36048748879871745, + 0.3433512432460557, + 0.32505353176517976, + 0.30594314271737316, + 0.286380771946329, + 0.26673118741824703, + 0.247355322142596, + 0.22860247912630988, + 0.2108028291809089, + 0.19426037511960312, + 0.17924654443078525, + 0.16599455717828776, + 0.15469469703518798, + 0.14549059147014265, + 0.13847658271075167, + 0.13369624480564574, + 0.13114207454029375, + 0.1307563558055503, + 0.13243316896083948, + 0.13602148946029552, + 0.14132929418455134, + 0.1481285701709151, + 0.15616109933603073, + 0.1651448748471991, + 0.17478099045199824, + 0.1847608336621278, + 0.1947734074503662, + 0.20451260319955394, + 0.21368425007323727, + 0.22201277268514405, + 0.22924729974970084, + 0.23516708101809747, + 0.23958608786994978, + 0.24235669398098197, + 0.24337235599103646, + 0.2425692394631927, + 0.23992676201805946, + 0.2354670526826004, + 0.22925335353292087, + 0.22138741596244643, + 0.21200596871913444, + 0.20127635761335239, + 0.18939147693996128, + 0.17656412968851942, + 0.16302096711764696, + 0.14899616791573495, + 0.13472502272963516, + 0.12043759118768044, + 0.1063525956511039, + 0.09267170888246425, + 0.07957438180892634, + 0.06721334286912335, + 0.055710882443691025, + 0.045156015042587434, + 0.03560258878881881, + 0.027068386887372193, + 0.019535239831745682, + 0.012950140736843883, + 0.00722733006479467, + 0.0022512907914438974, + -0.002119428615236148, + -0.006047667568119219, + -0.009712506095611433, + -0.013303655630238317, + -0.017015538662142643, + -0.021041216316217914, + -0.025566327077648266, + -0.030763199867254083, + -0.0367853004530339, + -0.0437621618810319, + -0.051794937423617585, + -0.06095269878081484, + -0.07126958332521541, + -0.08274287252851943, + -0.09533205989177414, + -0.10895894132096144, + -0.12350873458383752, + -0.13883220791616124, + -0.15474877168655604, + -0.17105046194088797, + -0.1875067212651339, + -0.2038698613244986, + -0.21988107319357575, + -0.23527683665519875, + -0.249795568399878, + -0.2631843417973975, + -0.2752055078322031, + -0.28564304798544865, + -0.29430849529342695, + -0.30104626939259904, + -0.30573828485034443, + -0.3083077091546332, + -0.30872176698184156, + -0.30699351028676675, + -0.3031824988016641, + -0.29739436207703746, + -0.28977924159242474, + -0.2805291390344734, + -0.269874223900258, + -0.25807817946524403, + -0.24543269021442377, + -0.2322511954725675, + -0.21886205264440953, + -0.20560126871918769, + -0.192804970121364, + -0.18080178830892382, + -0.16990534154156361, + -0.16040699187808038, + -0.15256905073776916, + -0.14661859640458902, + -0.14274205289931446, + -0.14108066202662164, + -0.141726959544278, + -0.14472234280365529, + -0.15005579144586095, + -0.15766377543080165, + -0.16743135649085222, + -0.17919446072199635, + -0.19274327214409587, + -0.20782667035734692, + -0.2241576105445739, + -0.24141932162487362, + -0.25927217890002063, + -0.27736109152474236, + -0.2953232329649749, + -0.31279593457964283, + -0.32942455876540655, + -0.3448701688279823, + -0.35881681786764663, + -0.370978288362362, + -0.38110412756687384, + -0.38898484098892133, + -0.39445612663236346, + -0.3974020559096043, + -0.397757132552527, + -0.3955071878688311, + -0.39068909863770157, + -0.3833893421316114, + -0.3737414305012447, + -0.3619222933913699, + -0.34814770251897975, + -0.3326668544375407, + -0.3157562472886245, + -0.29771300353302366, + -0.2788478030704272, + -0.2594775995063415, + -0.23991829641449264, + -0.22047756018514142, + -0.20144794146480274, + -0.1831004684078433, + -0.1656788622057566, + -0.14939450896383163, + -0.13442230237490332, + -0.12089744929239155, + -0.10891330579269902, + -0.09852028525557632, + -0.08972585303260887, + -0.08249559509158955, + -0.07675532129541218, + -0.07239413836260263, + -0.06926840369769847, + -0.06720644976342983, + -0.06601395002330783, + -0.06547978217029388, + -0.06538223274808641, + -0.06549537964630797, + -0.06559548548940204, + -0.06546723571676574, + -0.06490966013762256, + -0.06374158580211788, + -0.061806481921916824, + -0.05897657396524767, + -0.055156123521542214, + -0.05028379258148486, + -0.04433403494713824, + -0.03731748296146922, + -0.029280323979972243, + -0.02030268733357287, + -0.01049608828421838, + -1.0050939830742653e-16 + ], + [ + 0, + 0.012157710372977904, + 0.024595700164894176, + 0.03709595928976501, + 0.04943562434013697, + 0.0613936056205253, + 0.07275719032157313, + 0.08332844415768105, + 0.09293023872749066, + 0.10141174123563375, + 0.10865321680175355, + 0.11457001103895446, + 0.1191156014708274, + 0.12228363014951422, + 0.12410885593870342, + 0.12466699267800202, + 0.1240734281494643, + 0.12248084769894774, + 0.12007581479341889, + 0.11707438800086495, + 0.11371687917213566, + 0.110261880340729, + 0.10697970645706985, + 0.10414541703559857, + 0.10203159170354383, + 0.10090104218778649, + 0.1009996462574297, + 0.10254948746504794, + 0.10574247822569989, + 0.1107346329819254, + 0.1176411431796537, + 0.12653238688487528, + 0.1374309835620165, + 0.15030997935618656, + 0.1650922207894639, + 0.1816509457702148, + 0.1998115909389109, + 0.21935478437194983, + 0.24002046327929058, + 0.2615130282913968, + 0.2835074199334278, + 0.3056559795781717, + 0.32759593713706925, + 0.3489573514943211, + 0.36937131762369, + 0.3884782467599181, + 0.4059360231249459, + 0.4214278426163627, + 0.43466954551711023, + 0.4454162665300166, + 0.4534682410135687, + 0.45867562582499793, + 0.46094221619400966, + 0.46022796599981963, + 0.4565502470773885, + 0.4499838130504391, + 0.4406594639531472, + 0.42876143881093376, + 0.4145235936509914, + 0.3982244513668755, + 0.38018123676305166, + 0.3607430342989964, + 0.3402832269486456, + 0.31919139168060084, + 0.29786483993159957, + 0.2766999997776919, + 0.2560838401028129, + 0.23638553583737135, + 0.21794856732259787, + 0.20108343619939803, + 0.18606116518660618, + 0.17310773007300556, + 0.16239954966840725, + 0.15406013389573042, + 0.1481579622853501, + 0.14470563553895588, + 0.1436603122870156, + 0.14492541241822282, + 0.14835353816152694, + 0.1537505351874585, + 0.16088058906874345, + 0.16947222815397417, + 0.17922508284964495, + 0.18981723398203465, + 0.2009129697352373, + 0.21217076194618542, + 0.22325126848236065, + 0.23382516911833381, + 0.2435806477313966, + 0.2522303436060644, + 0.25951760891151093, + 0.2652219276284916, + 0.2691633728899369, + 0.27120600431405245, + 0.27126013383109826, + 0.2692834170598957, + 0.2652807567634242, + 0.2593030345693406, + 0.25144471624274123, + 0.24184040362231035, + 0.23066043218790566, + 0.21810563647885234, + 0.20440142565537986, + 0.18979132789879036, + 0.17453017467982795, + 0.1588771038925227, + 0.143088564265412, + 0.12741150225065037, + 0.11207690679725246, + 0.09729387719532925, + 0.08324436480218818, + 0.07007872130082199, + 0.0579121646632947, + 0.046822249745181316, + 0.03684740404066776, + 0.02798656125260971, + 0.02019989668570936, + 0.013410639780555064, + 0.007507911098700029, + 0.0023505044535716687, + -0.0022284896673291487, + -0.006416345105254077, + -0.01041478979504499, + -0.014433683536753178, + -0.01868445383556514, + -0.02337346632222216, + -0.028695508185618158, + -0.03482756038667451, + -0.04192302724244596, + -0.05010658045008327, + -0.05946975904959947, + -0.07006744759241791, + -0.08191533237205882, + -0.09498841054716751, + -0.1092205999749608, + -0.12450546925537893, + -0.14069807857678326, + -0.15761789318283012, + -0.1750527033747172, + -0.19276345863024053, + -0.21048989932965279, + -0.22795684834179447, + -0.24488100688539538, + -0.26097808509888876, + -0.27597008799075107, + -0.2895925721596919, + -0.3016016880168751, + -0.31178082624228004, + -0.31994669577970714, + -0.32595467362071273, + -0.3297032836384382, + -0.3311376823972976, + -0.33025205368129995, + -0.32709083987031407, + -0.3217487666024821, + -0.31436964669566864, + -0.305143979332648, + -0.2943053903010946, + -0.28212598788213306, + -0.26891073608475646, + -0.2549909716528651, + -0.24071721300933788, + -0.22645142750236247, + -0.21255893752442534, + -0.19940015592288782, + -0.18732234635857165, + -0.1766516047541765, + -0.16768525368342055, + -0.16068483257769642, + -0.15586985317856145, + -0.15341247206046651, + -0.15343321071046656, + -0.15599782909417495, + -0.1611154314535975, + -0.16873785393155205, + -0.17876035320694866, + -0.19102358439468212, + -0.20531682576605492, + -0.22138237812818448, + -0.2389210386878798, + -0.25759852359979, + -0.277052690784818, + -0.2969013955539735, + -0.31675079654884003, + -0.3362039188782167, + -0.3548692753489842, + -0.37236934550197964, + -0.38834871579722147, + -0.40248169265581835, + -0.41447921295127277, + -0.4240948936328117, + -0.43113008303755807, + -0.435437800593856, + -0.43692547844252955, + -0.43555644734877474, + -0.4313501394384472, + -0.4243810110310806, + -0.41477621940718984, + -0.40271211699374604, + -0.38840965445731906, + -0.3721288098788954, + -0.35416218392553667, + -0.3348279201831335, + -0.31446212510967697, + -0.293410973046023, + -0.2720226881244905, + -0.2506395966014703, + -0.22959044008172222, + -0.20918313238964562, + -0.18969813068165636, + -0.17138257509840885, + -0.1544453312421605, + -0.13905304654021672, + -0.1253273057057391, + -0.11334294268143638, + -0.1031275373466478, + -0.09466209561102663, + -0.08788288204739893, + -0.08268434566514442, + -0.0789230525017932, + -0.07642251408048266, + -0.07497877905198116, + -0.07436663704594892, + -0.07434626934394556, + -0.07467017080553856, + -0.07509016177140528, + -0.07536430756388955, + -0.07526356672099038, + -0.07457799713340478, + -0.07312236159222814, + -0.07074099057581373, + -0.06731177998731662, + -0.06274922448999184, + -0.057006412489780035, + -0.05007593603729554, + -0.04198969727216414, + -0.03281762179224826, + -0.022665317769504225, + -0.011670747032584479, + -1.1130967973816564e-16 + ], + [ + 0, + 0.013278607064410187, + 0.02675525881357741, + 0.040190708946473676, + 0.053344318458996724, + 0.06598123396369103, + 0.07787943112028568, + 0.08883643336284318, + 0.09867552424388124, + 0.10725128452660006, + 0.11445430232260598, + 0.1202149256636179, + 0.12450595138172277, + 0.12734417143798063, + 0.12879072719714918, + 0.12895025285711847, + 0.12796882053049502, + 0.1260307305522233, + 0.1233542206649655, + 0.12018619605081587, + 0.11679610801443412, + 0.11346913182047907, + 0.11049881316649603, + 0.10817936754251027, + 0.10679782690634046, + 0.1066262334191204, + 0.10791408028986899, + 0.11088119504733698, + 0.1157112508936988, + 0.12254607742327829, + 0.1314809232536971, + 0.14256080046950623, + 0.15577801477089231, + 0.17107095648874418, + 0.18832419687774563, + 0.2073699020885581, + 0.2279905447389351, + 0.24992286085564966, + 0.2728629689418101, + 0.2964725388086727, + 0.3203858713232105, + 0.3442177270247772, + 0.36757172223860896, + 0.3900490963485359, + 0.4112576436673243, + 0.43082059812556045, + 0.44838525893087555, + 0.46363115044403924, + 0.4762775196652315, + 0.4860899896863711, + 0.49288620688856616, + 0.4965403430822341, + 0.4969863406370078, + 0.49421981828000483, + 0.48829858693605804, + 0.4793417579723517, + 0.4675274596902568, + 0.4530892110639454, + 0.43631103375073843, + 0.41752141351144856, + 0.39708624964589534, + 0.37540095519947053, + 0.35288189094220296, + 0.32995733196880944, + 0.3070581768308874, + 0.2846086151219809, + 0.26301697024774195, + 0.24266692970905332, + 0.22390936571572237, + 0.20705493456705956, + 0.19236762433733962, + 0.18005939745313804, + 0.17028604830915256, + 0.1631443667875461, + 0.15867066714033504, + 0.15684070893336807, + 0.1575710034348172, + 0.1607214657742143, + 0.16609934120583889, + 0.17346430366129942, + 0.18253459720258097, + 0.19299406665633576, + 0.20449990320955588, + 0.2166909145675754, + 0.2291961178019084, + 0.24164344651546815, + 0.2536683625708764, + 0.2649221663820631, + 0.27507980855164377, + 0.2838470192141867, + 0.2909665894681319, + 0.29622366128729183, + 0.29944990773955465, + 0.3005265135649824, + 0.2993858964697055, + 0.2960121411176925, + 0.2904401499603998, + 0.282753546933829, + 0.2730814008815145, + 0.26159386456645406, + 0.24849685159812673, + 0.2340258968705251, + 0.21843936561263597, + 0.2020111914181577, + 0.18502333427743983, + 0.1677581554285709, + 0.15049090664512044, + 0.13348252737934413, + 0.11697293410095592, + 0.10117497245406543, + 0.08626918485573881, + 0.07239952434277626, + 0.05967012039773911, + 0.04814317479109372, + 0.037838035868560695, + 0.028731468943626284, + 0.020759109305361425, + 0.013818053610618188, + 0.007770515875867984, + 0.002448446665419817, + -0.0023410109116429032, + -0.006809376501579402, + -0.011180165111137204, + -0.01568187665861471, + -0.020540831129636877, + -0.025974042169904593, + -0.03218232116881394, + -0.039343798175033536, + -0.04760803547960839, + -0.057090894666480665, + -0.06787029874135879, + -0.07998300808936355, + -0.0934225030544828, + -0.10813803753274377, + -0.12403489784153726, + -0.14097587002945625, + -0.15878388750940575, + -0.17724580022340594, + -0.19611717725718794, + -0.21512802765954142, + -0.2339892998764602, + -0.2523999993050312, + -0.2700547465430618, + -0.2866515863955294, + -0.3018998499260872, + -0.3155278690211807, + -0.3272903451524593, + -0.3369751812409151, + -0.3444095975795174, + -0.34946536937477574, + -0.35206304422238877, + -0.3521750222342179, + -0.3498274089875665, + -0.34510058130017224, + -0.33812843731172854, + -0.3290963346988809, + -0.31823775326589426, + -0.3058297498344452, + -0.29218730351649386, + -0.27765667734313887, + -0.26260794714352126, + -0.24742686989695134, + -0.23250628098162449, + -0.21823722237864315, + -0.20500001163651602, + -0.19315546405462936, + -0.183036478025455, + -0.1749401858328276, + -0.1691208596119225, + -0.16578374493234233, + -0.16507997298037427, + -0.16710267710641985, + -0.17188441117736464, + -0.17939593641713092, + -0.18954641097816094, + -0.20218498315058153, + -0.21710375569547893, + -0.2340420560980452, + -0.2526919163720425, + -0.2727046371689091, + -0.2936982850571457, + -0.3152659495716649, + -0.33698456853146036, + -0.35842411662810986, + -0.37915694372573144, + -0.39876704589237694, + -0.4168590539852417, + -0.43306673159117953, + -0.4470607861069063, + -0.45855581343464963, + -0.46731621775829985, + -0.4731609726370714, + -0.47596711760053534, + -0.47567191486585714, + -0.4722736229800271, + -0.4658308773296539, + -0.45646070074898476, + -0.44433520008100835, + -0.4296770357120902, + -0.41275378004989305, + -0.3938713069452821, + -0.37336637654232024, + -0.35159859843550145, + -0.3289419698807785, + -0.30577619481964713, + -0.2824779934267962, + -0.2594126106999779, + -0.23692572632106068, + -0.21533595680078726, + -0.19492812506891538, + -0.17594745259227565, + -0.15859480530577305, + -0.14302309772612448, + -0.12933493026178725, + -0.11758150367051036, + -0.10776282262441145, + -0.0998291682188614, + -0.0936837878045698, + -0.08918672051263245, + -0.08615964902264535, + -0.08439164318081677, + -0.0836456396217241, + -0.0836654841089704, + -0.08418335031022715, + -0.0849273404730344, + -0.08562907016195068, + -0.08603104092387584, + -0.08589361140978675, + -0.08500138891686035, + -0.08316887922490288, + -0.08024525257329711, + -0.07611810714623357, + -0.07071613790337376, + -0.0640106473356088, + -0.056015865010330686, + -0.04678807382873191, + -0.036423571961583565, + -0.02505552967325716, + -0.012849828920809755, + -1.2206290531976526e-16 + ], + [ + 0, + 0.014375572875976851, + 0.028849009621042723, + 0.04316149755067262, + 0.05705689312478482, + 0.07028938564097754, + 0.08263089964556569, + 0.09387803625765556, + 0.103858365283629, + 0.11243589652791885, + 0.11951557966593096, + 0.12504670690956818, + 0.12902512083943862, + 0.1314941604917346, + 0.13254431129777525, + 0.13231155796004282, + 0.1309744729643744, + 0.1287501063235424, + 0.12588877348938513, + 0.1226678673632983, + 0.1193848462403223, + 0.11634957167853949, + 0.11387618812414452, + 0.11227474918168678, + 0.11184280335576205, + 0.11285715468958497, + 0.11556601090525725, + 0.1201817234633611, + 0.12687431059317156, + 0.13576593611645682, + 0.14692649423670454, + 0.16037042394213544, + 0.17605484692322376, + 0.19387909066359835, + 0.2136856244207985, + 0.23526240100820212, + 0.25834656248261845, + 0.28262943389669376, + 0.307762697035106, + 0.33336560632185874, + 0.3590330826058232, + 0.38434449796712583, + 0.40887294660678075, + 0.4321947837451915, + 0.45389920659974303, + 0.47359764914597446, + 0.4909327655640478, + 0.5055867859687845, + 0.5172890420181816, + 0.5258224789621029, + 0.5310289941769102, + 0.5328134696686659, + 0.5311463967547039, + 0.5260650244066393, + 0.5176729977497098, + 0.506138489112483, + 0.4916908599336461, + 0.47461592688381804, + 0.45524993889553966, + 0.43397240260067294, + 0.41119792119972365, + 0.3873672353604269, + 0.36293767378816794, + 0.33837323516402756, + 0.314134531865159, + 0.2906688290550861, + 0.2684004102824318, + 0.24772149271719357, + 0.22898390178176498, + 0.21249169652837224, + 0.19849491412749393, + 0.18718457482698458, + 0.178689058380946, + 0.17307192997428097, + 0.17033125889011305, + 0.1704004374329664, + 0.17315047180331852, + 0.17839368159232113, + 0.18588871118200226, + 0.19534672540738335, + 0.2064386341124176, + 0.21880316638128314, + 0.2320555958237482, + 0.24579690380110156, + 0.25962315823882104, + 0.2731348818951015, + 0.2859461857169203, + 0.29769345015711673, + 0.30804334985161697, + 0.3167000345399999, + 0.3234113011079315, + 0.32797361757887133, + 0.3302358891306237, + 0.33010188802534174, + 0.3275313029231618, + 0.32253939756144523, + 0.31519530336411866, + 0.30561900433957884, + 0.29397710479331135, + 0.2804775001274081, + 0.2653630975901985, + 0.2489047566221038, + 0.23139363686180028, + 0.21313315548309406, + 0.19443076400187723, + 0.17558975782748315, + 0.15690132957069827, + 0.13863706953377627, + 0.12104210410139622, + 0.10432904525874648, + 0.08867290263644274, + 0.07420708388234341, + 0.06102058044190531, + 0.04915640472333741, + 0.03861131192223834, + 0.029336806312605587, + 0.02124139842543968, + 0.014194047078028304, + 0.008028689507791365, + 0.002549734681015798, + -0.0024616300984232316, + -0.007240490231405352, + -0.012030800142049977, + -0.017077724347295414, + -0.022619929477854312, + -0.028882034880341606, + -0.036067425526230226, + -0.04435162181206668, + -0.05387638668564992, + -0.06474473172951567, + -0.07701696084845197, + -0.09070786361989552, + -0.10578514084421142, + -0.1221691131198265, + -0.13973373016568078, + -0.1583088649561775, + -0.17768384337243845, + -0.1976121278526793, + -0.2178170432610018, + -0.23799840565703043, + -0.25783989054065215, + -0.27701695708393437, + -0.2952051293629328, + -0.31208842506919543, + -0.32736771689419875, + -0.34076881188894825, + -0.35205003962008874, + -0.36100915075238565, + -0.3674893435323798, + -0.3713842561499717, + -0.3726417876173747, + -0.371266638027078, + -0.36732149014098536, + -0.3609267874575789, + -0.352259098384529, + -0.3415480910585604, + -0.32907217783775694, + -0.31515292168781406, + -0.30014832776688605, + -0.2844451717080857, + -0.2684505406985908, + -0.2525827838413855, + -0.2372620839443356, + -0.2229008734118176, + -0.20989432204254485, + -0.1986111241222329, + -0.18938480623649318, + -0.18250576584970093, + -0.17821423416484214, + -0.1766943354902271, + -0.17806938980158318, + -0.18239857601787252, + -0.1896750414116779, + -0.19982550832846427, + -0.21271139382538515, + -0.22813142182475457, + -0.24582567178691397, + -0.2654809736094557, + -0.28673752629103133, + -0.3091965886430893, + -0.33242906470571637, + -0.35598478514960374, + -0.37940226934648413, + -0.40221874136964453, + -0.4239801672223812, + -0.4442510802295926, + -0.46262396677341755, + -0.4787279952777177, + -0.4922368872841181, + -0.5028757502226162, + -0.5104267165528328, + -0.5147332627231788, + -0.5157031131595924, + -0.5133096684756216, + -0.5075919324604893, + -0.498652948287343, + -0.4866567899144974, + -0.4718241889622788, + -0.45442690960242715, + -0.43478101341299474, + -0.4132391820173579, + -0.39018228701776025, + -0.3660104137319765, + -0.34113355714281846, + -0.31596221499707855, + -0.29089810399889005, + -0.26632522052439656, + -0.2426014573683169, + -0.22005097297973145, + -0.19895748984177766, + -0.17955867460183644, + -0.162041724873203, + -0.14654025700262188, + -0.13313255629825638, + -0.12184121705946774, + -0.1126341650948045, + -0.1054270211199262, + -0.10008673034390048, + -0.0964363524995639, + -0.09426087831815595, + -0.09331391368558449, + -0.09332505205432869, + -0.0940077396244328, + -0.09506742673668142, + -0.09620979310286694, + -0.09714883406228554, + -0.09761459999556776, + -0.09736039120750864, + -0.0961692257395452, + -0.0938594172958358, + -0.09028912425630502, + -0.08535975799614443, + -0.07901816873883089, + -0.07125755917501488, + -0.062117109269746854, + -0.05168032921363581, + -0.04007219050013681, + -0.02745511679520339, + -0.014023945805484562, + -1.3268046304600178e-16 + ], + [ + 0, + 0.015439226634623365, + 0.030858895441867058, + 0.045982763434863294, + 0.06054188271386864, + 0.07428267025398869, + 0.08697457602738982, + 0.09841714213753386, + 0.1084462611784768, + 0.11693946251338591, + 0.12382008007800126, + 0.12906018402969024, + 0.1326821903576054, + 0.13475909664263414, + 0.13541332764751007, + 0.13481421043115607, + 0.13317413430629937, + 0.13074348529345237, + 0.12780447689641294, + 0.1246640282164387, + 0.12164586588958101, + 0.11908204742195835, + 0.11730411966723361, + 0.11663413701782444, + 0.11737576907803803, + 0.11980572700540403, + 0.12416573134229521, + 0.1306552321543756, + 0.13942507492766484, + 0.15057228336867706, + 0.16413610354304453, + 0.18009542332913245, + 0.1983676477011332, + 0.2188090747142571, + 0.24121678012224398, + 0.2653319812282451, + 0.29084481377954263, + 0.3174004203787667, + 0.34460621587939766, + 0.3720401653857462, + 0.3992598845352613, + 0.4258123503568423, + 0.45124399471447396, + 0.47511094157767325, + 0.4969891443902535, + 0.5164841807756655, + 0.5332404687132802, + 0.5469496809920562, + 0.5573581529000681, + 0.5642731013090408, + 0.5675675010060722, + 0.5671834956426302, + 0.5631342552511753, + 0.5555042290837171, + 0.5444477806598944, + 0.5301862304468503, + 0.5130033695904362, + 0.493239544650713, + 0.4712844474729272, + 0.44756877531390904, + 0.42255495338651033, + 0.39672713442094587, + 0.37058070712390967, + 0.3446115571223919, + 0.31930532982390314, + 0.2951269444664968, + 0.27251060247570336, + 0.2518505212431502, + 0.2334926068882738, + 0.21772725689082434, + 0.20478345624373087, + 0.19482429964055106, + 0.18794403794141015, + 0.18416671059431544, + 0.1834463877188038, + 0.18566900711320838, + 0.19065575346316857, + 0.1981678904325572, + 0.20791292199867673, + 0.21955192818408437, + 0.2327078929927953, + 0.24697481953777028, + 0.26192740959603145, + 0.2771310725683908, + 0.29215202233754234, + 0.306567219953419, + 0.3199739254243531, + 0.33199863300703025, + 0.3423051809759669, + 0.35060184848819537, + 0.3566472782912675, + 0.36025509399282546, + 0.3612971136646726, + 0.35970509686565433, + 0.3554709988538861, + 0.3486457429060064, + 0.33933655834593435, + 0.32770296719840136, + 0.31395153544979315, + 0.298329534904906, + 0.2811176878354227, + 0.26262218838280105, + 0.24316621147552064, + 0.2230811314439711, + 0.2026976782964003, + 0.1823372596285599, + 0.162303670394697, + 0.14287540142902572, + 0.12429874097518151, + 0.10678184198880335, + 0.09048990217890353, + 0.0755415743077136, + 0.06200669192743829, + 0.0499053613186582, + 0.039208434782794455, + 0.029839344532982426, + 0.02167724113328188, + 0.014561346648364067, + 0.008296401239058008, + 0.0026590536676753254, + -0.002594978224775219, + -0.007723170922974466, + -0.012988091302884253, + -0.018649143697279467, + -0.02495439024993263, + -0.03213266508713773, + -0.040386195408267336, + -0.049883929688963255, + -0.060755755125418934, + -0.07308776368016044, + -0.08691869919172, + -0.10223768765996832, + -0.11898331978056442, + -0.13704411990931412, + -0.15626039977109335, + -0.17642745929487577, + -0.1973000618655934, + -0.21859807792449046, + -0.2400131600695458, + -0.26121628539021663, + -0.28186597741689257, + -0.301617001375052, + -0.32012931289122126, + -0.33707703225857494, + -0.3521572140531976, + -0.3650981853737833, + -0.3756672351890906, + -0.3836774520065776, + -0.3889935269719319, + -0.39153636409238374, + -0.39128636794860805, + -0.3882853113191851, + -0.3826367198005561, + -0.37450474691026503, + -0.3641115504126655, + -0.35173321778180416, + -0.3376943248931697, + -0.32236124631453394, + -0.30613436709119646, + -0.2894393739040353, + -0.27271782721717086, + -0.2564172349266583, + -0.24098086159170726, + -0.22683751522534976, + -0.21439155563154483, + -0.20401336433433226, + -0.19603050633248842, + -0.19071979845560946, + -0.18830047835932157, + -0.18892864267381337, + -0.19269309312478472, + -0.1996126962964606, + -0.20963532690555456, + -0.2226384268722099, + -0.23843117402291003, + -0.2567582158774506, + -0.2773048865927408, + -0.2997037896722105, + -0.3235425963663936, + -0.3483728805857417, + -0.37371978633159036, + -0.39909230373135435, + -0.4239939152258202, + -0.4479333646542892, + -0.47043529913174653, + -0.4910505367795242, + -0.5093657224784978, + -0.5250121486374536, + -0.5376735381449117, + -0.5470926117056246, + -0.5530762910395898, + -0.5554994222249633, + -0.55430693899384, + -0.5495144231728499, + -0.541207057785602, + -0.5295370066658077, + -0.5147192918341189, + -0.49702627545792927, + -0.4767808860776555, + -0.4543487581489985, + -0.4301294791092837, + -0.40454715852255435, + -0.3780405489075395, + -0.3510529572509033, + -0.3240221897410353, + -0.29737076985575683, + -0.2714966616777288, + -0.24676471641532238, + -0.22349904093421294, + -0.20197646314549356, + -0.1824212409562038, + -0.16500112987662946, + -0.14982489008845498, + -0.13694127766643693, + -0.126339527614325, + -0.11795129934480977, + -0.11165401912264555, + -0.10727551969409871, + -0.10459984569177763, + -0.10337406521078586, + -0.10331590389167544, + -0.10412199850508344, + -0.10547655288045302, + -0.10706017039465801, + -0.10855863433479196, + -0.1096714103285068, + -0.11011965360605168, + -0.10965351788934849, + -0.10805858182740478, + -0.10516123261961137, + -0.1008328741799177, + -0.09499285818738276, + -0.08761006985267743, + -0.07870313535473118, + -0.06833925377575767, + -0.056631692077355265, + -0.0437360163112458, + -0.029845164969027803, + -0.015183500319209979, + -1.430731748338501e-16 + ], + [ + 0, + 0.01646040726991909, + 0.032767589840943544, + 0.04863045721512221, + 0.06377035696368007, + 0.07792945880661209, + 0.0908785842854607, + 0.10242426995944692, + 0.11241487169990623, + 0.12074554227022717, + 0.12736194333821835, + 0.13226258564510784, + 0.13549972642857933, + 0.13717879047358242, + 0.1374563194025041, + 0.1365364920487609, + 0.1346662960170025, + 0.13212946587411342, + 0.1292393359400982, + 0.1263307845281585, + 0.12375147098038906, + 0.12185258632986716, + 0.12097935238640871, + 0.12146151212425002, + 0.12360405622444556, + 0.12767842642438462, + 0.13391442603741838, + 0.14249305186550132, + 0.1535404401220383, + 0.1671230924331822, + 0.1832445171405342, + 0.20184338674205066, + 0.22279327522637166, + 0.24590400019323344, + 0.27092455496997336, + 0.2975475764148653, + 0.32541525572377844, + 0.35412656328293424, + 0.38324562534287016, + 0.4123110608601777, + 0.44084606200400517, + 0.4683689821818013, + 0.49440418150404536, + 0.5184928717414422, + 0.5402037012418116, + 0.5591428250247424, + 0.5749632162607965, + 0.5873729923156509, + 0.5961425510971002, + 0.6011103410453449, + 0.6021871200904145, + 0.5993585944922889, + 0.592686366816742, + 0.5823071624521505, + 0.5684303450626591, + 0.5513337722028167, + 0.5313580819924816, + 0.508899539300435, + 0.484401604393801, + 0.45834541763518466, + 0.4312394198019974, + 0.40360834832757053, + 0.37598186471482054, + 0.34888307718523637, + 0.3228172250837372, + 0.2982607876040676, + 0.27565126912736193, + 0.25537789713040954, + 0.23777344662047178, + 0.2231073779291402, + 0.21158044311279284, + 0.2033208809345636, + 0.19838228230500587, + 0.19674316806682268, + 0.19830828009970292, + 0.20291154589240817, + 0.21032063697560568, + 0.22024300389770973, + 0.23233323567290415, + 0.24620156067735005, + 0.2614232795634983, + 0.27754889953767403, + 0.2941147238084349, + 0.31065364052770994, + 0.326705852328755, + 0.34182929067527834, + 0.35560946857933207, + 0.36766854057295884, + 0.3776733597342762, + 0.3853423475396807, + 0.39045102268351134, + 0.39283606901084783, + 0.39239785949602096, + 0.3891013918497455, + 0.38297563088840664, + 0.37411129226665074, + 0.36265714058006954, + 0.34881491123808944, + 0.3328329989899648, + 0.3149990857352773, + 0.2956319055355584, + 0.2750723649493511, + 0.25367425145096534, + 0.23179477141500243, + 0.20978516175446565, + 0.18798161574324165, + 0.16669675394126834, + 0.14621185573149417, + 0.12677004617509957, + 0.10857060723302406, + 0.09176455254616875, + 0.07645157167638082, + 0.06267841383322646, + 0.05043874355914633, + 0.03967446257023529, + 0.030278453921030346, + 0.022098667841534782, + 0.014943433914047, + 0.008587852592444198, + 0.0027810912170164823, + -0.0027456136531554443, + -0.008270463991984528, + -0.01407234720028225, + -0.02042205796884932, + -0.02757373164848988, + -0.03575672029829299, + -0.04516813127456879, + -0.05596623125561479, + -0.06826489639901458, + -0.08212926245743568, + -0.09757269781300353, + -0.11455518830746236, + -0.13298318630542058, + -0.15271093855109413, + -0.17354326902234432, + -0.19523975511995792, + -0.21752019911439566, + -0.24007126273092919, + -0.2625541019532066, + -0.2846128123507736, + -0.30588347317415426, + -0.32600356168097666, + -0.34462149809597853, + -0.36140607656191204, + -0.3760555385524647, + -0.38830605248367484, + -0.3979393765143255, + -0.40478950045576995, + -0.4087480868625216, + -0.40976856016022606, + -0.4078687253839952, + -0.40313183394459573, + -0.39570605192992814, + -0.3858023258440659, + -0.3736906804106147, + -0.3596950221356969, + -0.3441865597668326, + -0.32757598766402124, + -0.31030460954633915, + -0.29283460730248273, + -0.27563868187076435, + -0.25918931003695667, + -0.24394787193497794, + -0.23035390877867884, + -0.21881476876825576, + -0.2096958912230783, + -0.20331196497066445, + -0.19991917719715335, + -0.1997087438092191, + -0.20280188247439943, + -0.20924635561673502, + -0.21901467356760607, + -0.23200400870719337, + -0.24803783073698238, + -0.2668692321887586, + -0.28818587290074893, + -0.31161643346171886, + -0.33673843148438, + -0.3630872219029957, + -0.39016597409470416, + -0.4174563951937369, + -0.44442995107499716, + -0.4705593245656803, + -0.4953298447916139, + -0.5182506223166937, + -0.5388651318698466, + -0.5567609977992071, + -0.5715787566202513, + -0.5830193956623728, + -0.5908504962634776, + -0.5949108434937964, + -0.5951134011881535, + -0.5914465902306405, + -0.5839738486103845, + -0.5728314927615273, + -0.5582249401151691, + -0.5404233916418881, + -0.5197531095061336, + -0.49658945790686576, + -0.471347903945342, + -0.4444741992481483, + -0.416433981509593, + -0.387702047665787, + -0.35875155678197984, + -0.33004342078651006, + -0.30201613493649404, + -0.27507628752476254, + -0.2495899701578158, + -0.2258752864166567, + -0.20419612845301235, + -0.18475735878508726, + -0.16770149905031026, + -0.15310698963584957, + -0.14098804488512748, + -0.13129608894634662, + -0.12392271827138844, + -0.1187040992580322, + -0.11542667448236872, + -0.11383401925525617, + -0.11363466263545968, + -0.11451066421741113, + -0.11612672053727914, + -0.11813956322684717, + -0.12020740536551486, + -0.12199919296028709, + -0.12320342509145775, + -0.12353631881416924, + -0.12274911307114052, + -0.12063432917755887, + -0.11703083328550899, + -0.11182757790946907, + -0.10496593428861159, + -0.09644056419351367, + -0.08629881781948494, + -0.0746386826821694, + -0.061605345974497634, + -0.04738646870798312, + -0.03220630323939758, + -0.016318815635505635, + -1.5315252351621846e-16 + ], + [ + 0, + 0.01743030352424802, + 0.03455874735733887, + 0.051082396906054005, + 0.06671635918487216, + 0.08120237789224104, + 0.09431671085399203, + 0.10587707605093302, + 0.11574847640222231, + 0.12384774233722402, + 0.13014666422827403, + 0.13467362314150008, + 0.1375136671739593, + 0.13880702090237076, + 0.13874605615370372, + 0.13757079239097314, + 0.1355630334727895, + 0.133039283415819, + 0.13034261615243622, + 0.1278337023053195, + 0.12588121897784046, + 0.12485188589071365, + 0.12510038242890423, + 0.12695940499770964, + 0.13073012238240847, + 0.13667327858456432, + 0.1450011780557312, + 0.155870767710417, + 0.1693780040695063, + 0.18555366299597115, + 0.20436071449226642, + 0.2256933467930237, + 0.24937768344995814, + 0.2751741952702069, + 0.3027817668711244, + 0.331843336299309, + 0.3619529866576812, + 0.39266433197753897, + 0.4235000065813028, + 0.45396203873468277, + 0.48354286620215964, + 0.5117367339861448, + 0.5380512034937514, + 0.5620184979268844, + 0.5832064109602669, + 0.6012285147216471, + 0.6157534185173656, + 0.6265128512933913, + 0.6333083679741408, + 0.6360165119273915, + 0.6345923020889177, + 0.6290709528668278, + 0.6195677768721941, + 0.6062762637699997, + 0.5894643720594896, + 0.569469113314827, + 0.5466895493028812, + 0.5215783604466078, + 0.49463217838984647, + 0.4663809051042837, + 0.43737626533571683, + 0.408179857618767, + 0.37935098114577914, + 0.35143452116180407, + 0.32494917414145247, + 0.30037628581978093, + 0.278149560398584, + 0.25864587829255814, + 0.24217743312969364, + 0.22898536702889172, + 0.2192350472203171, + 0.21301308772937425, + 0.2103261780747644, + 0.2111017377546982, + 0.21519037176635308, + 0.2223700595828907, + 0.23235196894200977, + 0.24478774747804527, + 0.25927811058518374, + 0.27538251376997713, + 0.2926296728623379, + 0.3105286764010515, + 0.32858042174345364, + 0.34628910026491544, + 0.3631734575451042, + 0.3787775616521644, + 0.3926808263357994, + 0.4045070557691453, + 0.4139323029302749, + 0.420691364142383, + 0.4245827669309424, + 0.42547214633767866, + 0.42329394520571995, + 0.4180514157112274, + 0.40981494152566644, + 0.3987187414048674, + 0.38495605469101085, + 0.3687729462017029, + 0.35046090135571867, + 0.33034841132908005, + 0.3087917718413113, + 0.28616533726286303, + 0.2628514836774949, + 0.23923054004874417, + 0.2156709456094152, + 0.19251988406304357, + 0.17009463136455039, + 0.14867483409889537, + 0.12849591031425942, + 0.10974373473752853, + 0.09255073637054323, + 0.07699349940060829, + 0.06309191910050208, + 0.0508099239377808, + 0.040057734485391065, + 0.030695589953456733, + 0.022538835250968822, + 0.015364226393488755, + 0.008917280684727151, + 0.0029204712078719705, + -0.002917956554973377, + -0.008894784152349433, + -0.015302483689334812, + -0.022419996993290434, + -0.030503878996955114, + -0.039780044562878016, + -0.050436342467814824, + -0.0626161589992776, + -0.076413227124994, + -0.09186778614758145, + -0.1089642019345358, + -0.12763012009649494, + -0.14773718482722586, + -0.16910331551925034, + -0.19149649275656228, + -0.21463996588668469, + -0.2382187570878157, + -0.2618873026208024, + -0.2852780416624627, + -0.30801073753117836, + -0.3297022958957384, + -0.34997683022865067, + -0.3684757167032651, + -0.3848673791615483, + -0.39885654975543694, + -0.41019276228492124, + -0.41867785285443937, + -0.42417226582485906, + -0.4265999915856672, + -0.4259519957144347, + -0.42228803581802665, + -0.4157368018584938, + -0.40649435708090553, + -0.39482089875820764, + -0.38103589980526875, + -0.3655117328505162, + -0.34866591657869644, + -0.33095215911724346, + -0.3128504040550888, + -0.29485611058090183, + -0.2774690195520814, + -0.2611816715372563, + -0.2464679506439319, + -0.23377192903854688, + -0.2234972814422063, + -0.21599752666092176, + -0.21156733466654568, + -0.21043511332213055, + -0.21275705912697576, + -0.21861282205739396, + -0.22800289652810155, + -0.2408478096185217, + -0.2569891349913072, + -0.2761923174166107, + -0.2981512495652867, + -0.32249450080240116, + -0.3487930581227442, + -0.37656940308972786, + -0.4053077165548794, + -0.43446497583168764, + -0.46348268753782723, + -0.4917989840288228, + -0.5188608025982855, + -0.5441358646288701, + -0.5671241766929994, + -0.5873687871050157, + -0.6044655493353664, + -0.6180716675742772, + -0.6279128289929078, + -0.6337887611784795, + -0.6355770909866529, + -0.6332354217365804, + -0.6268015882778182, + -0.6163920929439273, + -0.6021987687147071, + -0.5844837579828542, + -0.5635729351381931, + -0.5398479377769368, + -0.5137370038286747, + -0.4857048394860717, + -0.45624176485926443, + -0.4258524002337059, + -0.3950441653125143, + -0.3643158666572193, + -0.3341466446537605, + -0.3049855408389887, + -0.2772419296045023, + -0.25127703558253855, + -0.22739672999060476, + -0.20584576657533768, + -0.1868035813716392, + -0.17038174119245472, + -0.1566230845685508, + -0.14550255679209514, + -0.13692969882756914, + -0.13075270917678689, + -0.12676395932721732, + -0.12470680812261199, + -0.12428352913954108, + -0.125164138697828, + -0.12699589112088017, + -0.12941319280031155, + -0.1320476778653712, + -0.13453818601067133, + -0.13654038733183094, + -0.13773580973061378, + -0.1378400412914051, + -0.13660990255917704, + -0.13384941128342107, + -0.1294143942240539, + -0.12321563622599614, + -0.11522049505251522, + -0.10545295045125244, + -0.09399209659741599, + -0.08096912738631915, + -0.06656290301238964, + -0.050994222889445634, + -0.034518963312838116, + -0.0174202674965419, + -1.6283188284955877e-16 + ], + [ + 0, + 0.018340580423799067, + 0.03621724354815391, + 0.05331860236640315, + 0.06935731028653552, + 0.0840787536242466, + 0.09726885484471331, + 0.10876077431728871, + 0.11844032675198854, + 0.126249961649759, + 0.13219119418285039, + 0.13632541299059653, + 0.13877303341700403, + 0.13971100766669384, + 0.13936874612783534, + 0.1380225456209266, + 0.13598865952716072, + 0.13361518063302513, + 0.13127293918386365, + 0.12934564525833134, + 0.12821952547308518, + 0.12827271866022377, + 0.1298647031425952, + 0.13332602934386245, + 0.13894862566255176, + 0.14697693293681935, + 0.157600103724207, + 0.17094547747626235, + 0.1870735121115626, + 0.20597431722938606, + 0.22756589512556655, + 0.2516941538346864, + 0.27813471266479767, + 0.3065964761961352, + 0.3367269085883915, + 0.36811889738010534, + 0.4003190558326601, + 0.4328372762740647, + 0.46515731475246314, + 0.49674816042626635, + 0.5270759221785073, + 0.5556159504834056, + 0.5818649049500657, + 0.6053524774299619, + 0.6256524871354845, + 0.6423930777355225, + 0.6552657665579416, + 0.6640331223608444, + 0.6685348800047518, + 0.6686923369990943, + 0.664510917422777, + 0.6560808321474109, + 0.6435758095676024, + 0.6272499170633248, + 0.6074325390629414, + 0.5845216217281207, + 0.5589753358651383, + 0.531302347664568, + 0.5020509203536189, + 0.47179709799308034, + 0.4411322447747132, + 0.41065022873302615, + 0.38093454739621146, + 0.35254569435322564, + 0.32600905997131735, + 0.3018036467006532, + 0.2803518598626768, + 0.2620106090139574, + 0.24706392353835732, + 0.23571724981571146, + 0.22809355703201115, + 0.22423133541822432, + 0.22408452548890972, + 0.22752437080074486, + 0.23434314098745263, + 0.2442596274655573, + 0.25692627232345616, + 0.27193775252074476, + 0.2888408075647343, + 0.30714507011577397, + 0.32633463619144454, + 0.34588009533410996, + 0.3652507316587626, + 0.3839266043213695, + 0.40141022068031007, + 0.4172375271283244, + 0.43098796094137287, + 0.4422933310520653, + 0.45084532578522113, + 0.4564014805318719, + 0.4587894772087441, + 0.45790968918079855, + 0.4537359290715778, + 0.4463144014616623, + 0.43576090677313295, + 0.42225638556073314, + 0.4060409329181215, + 0.38740644976287264, + 0.3666881304769007, + 0.34425501394998637, + 0.3204998468331197, + 0.29582852323162206, + 0.27064937379083615, + 0.24536257895276492, + 0.22034997606616716, + 0.19596551816409896, + 0.1725266238994025, + 0.15030663382883946, + 0.12952855858780984, + 0.11036027026003892, + 0.09291125029428572, + 0.0772309666186947, + 0.06330891018616196, + 0.051076278125928645, + 0.04040924806712081, + 0.031133747116144157, + 0.023031580449236245, + 0.015847749496032196, + 0.009298759121973851, + 0.003081687837133728, + -0.003116224494186718, + -0.009607730202672426, + -0.01669573396347764, + -0.024663724652031815, + -0.033766736966208855, + -0.04422308719652765, + -0.05620710756073217, + -0.0698430777707812, + -0.08520052161882243, + -0.10229100113363351, + -0.12106650216001369, + -0.14141946402826572, + -0.16318446335031495, + -0.18614151898163192, + -0.21002094291280418, + -0.23450962137339124, + -0.25925857277183134, + -0.28389159521742313, + -0.3080147871389804, + -0.33122670067945037, + -0.353128869722252, + -0.3733364430592229, + -0.3914886486460634, + -0.4072588172440023, + -0.4203637029779232, + -0.43057185424104927, + -0.43771081056690764, + -0.44167292903497085, + -0.4424196767965853, + -0.4399842635937196, + -0.43447252877776166, + -0.4260620403165248, + -0.414999407541523, + -0.4015958538368493, + -0.38622113900086374, + -0.36929596253795305, + -0.35128301762264164, + -0.33267689995834676, + -0.31399310536102243, + -0.2957563738857462, + -0.2784886560712418, + -0.2626969879456055, + -0.24886156552257593, + -0.23742430649997884, + -0.22877817680404558, + -0.22325754273260098, + -0.22112978613283074, + -0.22258839086069884, + -0.22774767440971022, + -0.23663929989579083, + -0.24921066147967666, + -0.2653251918206175, + -0.2847645943675331, + -0.30723295732151834, + -0.33236266106800344, + -0.3597219478776169, + -0.388823982762424, + -0.4191371985247491, + -0.45009668712629003, + -0.4811163742923482, + -0.5116016953672444, + -0.5409624783154896, + -0.5686257347164654, + -0.5940480617522631, + -0.616727367487192, + -0.6362136479560784, + -0.6521185673207521, + -0.6641236210640802, + -0.6719866961668436, + -0.675546880624386, + -0.6747274165687972, + -0.6695367356451493, + -0.6600675610637364, + -0.6464941067982696, + -0.629067449600693, + -0.6081091927570291, + -0.5840035807647673, + -0.5571882603950469, + -0.5281439150354543, + -0.49738302503517695, + -0.46543802637608267, + -0.43284915290735104, + -0.4001522533093882, + -0.36786687276895974, + -0.33648488110106517, + -0.30645991396737526, + -0.27819787230733506, + -0.2520486976657397, + -0.2282996084636455, + -0.2071699452388376, + -0.18880773240502466, + -0.17328802115640884, + -0.16061303384525843, + -0.15071408558536434, + -0.14345521508874662, + -0.1386384149086718, + -0.13601031237095884, + -0.13527011748418846, + -0.1360786238852674, + -0.13806802413695374, + -0.14085228204714711, + -0.14403779257156438, + -0.14723405457347202, + -0.15006408335720417, + -0.1521742984037942, + -0.15324363688317505, + -0.1529916648985704, + -0.15118548548022642, + -0.14764527439146832, + -0.142248311020631, + -0.13493141108488438, + -0.12569170956375747, + -0.11458578515386493, + -0.1017271605062615, + -0.08728225448733422, + -0.07146490263258533, + -0.05452959883215831, + -0.03676364416749064, + -0.018478416881187936, + -1.720277353083025e-16 + ], + [ + 0, + 0.019183500924352698, + 0.037729401775357656, + 0.05532160480166197, + 0.07167437339113232, + 0.08654099948706827, + 0.09972140402885976, + 0.11106846317323003, + 0.12049288598301686, + 0.1279665067213171, + 0.13352389591345787, + 0.13726223790070025, + 0.1393394676061349, + 0.13997070452605687, + 0.13942306640173294, + 0.13800898748953697, + 0.13607820575293278, + 0.13400861864415725, + 0.1321962375237609, + 0.13104449540277885, + 0.13095318094857658, + 0.13230728309373513, + 0.135466034821263, + 0.14075244164156153, + 0.1484435699819651, + 0.15876185341470425, + 0.1718676507658088, + 0.1878532602534317, + 0.2067385586284058, + 0.2284683946951371, + 0.25291182355193637, + 0.27986322246946893, + 0.30904528264873427, + 0.340113824324369, + 0.3726643369686467, + 0.4062401028461332, + 0.4403417219561106, + 0.47443782048801014, + 0.5079766942081496, + 0.5403986134710355, + 0.5711484984359806, + 0.5996886620380492, + 0.6255113146056146, + 0.6481505278476898, + 0.6671933671804947, + 0.682289919769352, + 0.6931619707965724, + 0.6996101117296798, + 0.7015191010062412, + 0.6988613386871664, + 0.6916983612631584, + 0.6801803098450329, + 0.6645433732830657, + 0.6451052561658773, + 0.6222587689644004, + 0.5964636826554846, + 0.568237031880721, + 0.5381420880484108, + 0.5067762558555926, + 0.47475817270705545, + 0.44271430980168447, + 0.41126538576977717, + 0.381012908380178, + 0.35252615687830297, + 0.32632990703629267, + 0.30289318324972403, + 0.28261929743447456, + 0.2658374036625511, + 0.25279576117954344, + 0.2436568575551732, + 0.23849449923060967, + 0.23729292972759444, + 0.23994798742143747, + 0.24627026623148007, + 0.25599019503094866, + 0.2687649061797918, + 0.284186721441523, + 0.3017930456793988, + 0.3210774260532862, + 0.34150150774233495, + 0.3625075971381159, + 0.3835315304626997, + 0.4040155401655665, + 0.4234208133594356, + 0.4412394459001955, + 0.45700551224933056, + 0.4703049945511273, + 0.4807843438182874, + 0.48815748100432665, + 0.49221108517286866, + 0.492808058965922, + 0.4898891070528331, + 0.4834724100771176, + 0.4736514236470743, + 0.46059087797308906, + 0.4445210977017721, + 0.4257308022513533, + 0.4045585835127302, + 0.38138328925132897, + 0.35661356616018325, + 0.3306768356555672, + 0.3040079877168279, + 0.2770380830693318, + 0.25018335169167527, + 0.22383476607631742, + 0.19834845114805957, + 0.17403716968241104, + 0.15116309306377426, + 0.12993203302706355, + 0.11048927151002824, + 0.09291708388835919, + 0.07723400673479829, + 0.0633958559557387, + 0.05129845586045519, + 0.04078199555413567, + 0.031636887131441936, + 0.02361096153980975, + 0.01641780365422356, + 0.009745998922439563, + 0.0032690406360510087, + -0.0033443699555952867, + -0.010419908421906151, + -0.018267377364227563, + -0.027170898218272673, + -0.03737980931026113, + -0.049100516539767686, + -0.06248951842993198, + -0.07764779693489206, + -0.09461673009183202, + -0.1133756432427616, + -0.13384107312386123, + -0.15586777470056706, + -0.17925145533836348, + -0.20373317588923723, + -0.22900531468290336, + -0.2547189493469337, + -0.2804924738853249, + -0.30592123547712063, + -0.33058794785939843, + -0.3540736166425998, + -0.3759686970297287, + -0.3958841965677031, + -0.41346243496663965, + -0.42838717971751283, + -0.440392890074228, + -0.4492728226175671, + -0.4548857785893246, + -0.4571613058198705, + -0.4561032055730783, + -0.4517912360774853, + -0.4443809488797726, + -0.4341016403490037, + -0.42125244753246127, + -0.4061966639517335, + -0.38935439567564634, + -0.3711937199975566, + -0.35222054722710655, + -0.3329674195217126, + -0.3139815084875957, + -0.2958120947681286, + -0.27899782745745905, + -0.2640540685473502, + -0.251460627530843, + -0.2416501837273848, + -0.234997679024661, + -0.231810941897215, + -0.2323227752782589, + -0.23668470680581333, + -0.2449625609576406, + -0.25713396957481904, + -0.27308789129463806, + -0.29262616258765384, + -0.31546705458595453, + -0.3412507618829934, + -0.36954670315174526, + -0.399862469899903, + -0.4316542200228157, + -0.46433827799767796, + -0.49730367443882484, + -0.5299253350177371, + -0.5615776129997834, + -0.5916478512497568, + -0.6195496587170652, + -0.6447355931508537, + -0.6667089559521643, + -0.6850344262990997, + -0.6993472894639421, + -0.7093610478997817, + -0.7148732423864312, + -0.7157693533460159, + -0.7120246983221963, + -0.7037042894440435, + -0.6909606632997634, + -0.6740297438426263, + -0.6532248455685051, + -0.6289289681084251, + -0.6015855735054421, + -0.5716880728219934, + -0.5397682784986034, + -0.5063841023432124, + -0.4721067956145485, + -0.43750803698464635, + -0.403147176016121, + -0.36955893414436014, + -0.337241852173211, + -0.3066477533152903, + -0.2781724643466687, + -0.25214800517103475, + -0.22883641981337807, + -0.2084253805222747, + -0.19102565228578744, + -0.17667045876455037, + -0.16531674356749254, + -0.1568482741083795, + -0.15108049013989208, + -0.1477669565804656, + -0.14660724147307655, + -0.14725600579562118, + -0.149333063212698, + -0.15243414541314193, + -0.15614209295579712, + -0.16003818291819474, + -0.16371330330187128, + -0.1667786901045335, + -0.1688759560514926, + -0.16968615983734717, + -0.16893769084556895, + -0.16641277601469437, + -0.16195245199272443, + -0.15545988603557934, + -0.14690197223556972, + -0.1363091745174338, + -0.12377363327649225, + -0.10944559740660102, + -0.09352828664126618, + -0.07627132951982421, + -0.05796295887353021, + -0.03892117858195306, + -0.019484141676221582, + -1.8066086251924099e-16 + ], + [ + 0, + 0.01995204119647586, + 0.03908320384362402, + 0.05707672732948327, + 0.0736527742643193, + 0.0885769429308213, + 0.10166753138165362, + 0.11280135451678318, + 0.12191795293846883, + 0.12902207403668514, + 0.1341843505487387, + 0.13754014863089128, + 0.1392866050925279, + 0.13967792066870602, + 0.13901902184720147, + 0.1376577466623589, + 0.13597574892867395, + 0.13437834961557457, + 0.13328359258483263, + 0.1331107839890076, + 0.13426880968947189, + 0.1371445326972001, + 0.14209157265522038, + 0.1494197617458997, + 0.15938555628818502, + 0.17218366104638078, + 0.18794009443885534, + 0.20670688811402077, + 0.22845857460241834, + 0.2530905729358618, + 0.28041953532886627, + 0.31018566940229175, + 0.342057001200434, + 0.37563549563498766, + 0.4104649041942064, + 0.44604016595257373, + 0.4818181482030214, + 0.5172294784089032, + 0.5516911905112835, + 0.5846198866575157, + 0.6154451007043922, + 0.643622542779733, + 0.6686469049584135, + 0.6900639167274261, + 0.707481355190684, + 0.7205787385198601, + 0.7291154614340286, + 0.7329371677633131, + 0.7319801965460113, + 0.7262739836232726, + 0.7159413492257749, + 0.7011966524126777, + 0.682341844197242, + 0.659760501532269, + 0.6339099728021772, + 0.6053118108919684, + 0.574540711164712, + 0.5422122077680034, + 0.508969411721297, + 0.4754690974733011, + 0.4423674604908199, + 0.4103058765567646, + 0.3798969936145537, + 0.3517114791925411, + 0.32626573086415755, + 0.3040108342261304, + 0.28532302306849594, + 0.2704958604932915, + 0.2597343185903471, + 0.25315088890261833, + 0.250763807417172, + 0.2524974273840342, + 0.2581847221230004, + 0.26757184937380185, + 0.2803246599089589, + 0.2960369872477846, + 0.3142405134970434, + 0.33441596961021797, + 0.3560053975887227, + 0.3784251780825118, + 0.40107951005644576, + 0.42337402006493835, + 0.44472917742405166, + 0.46459319819679623, + 0.48245413522928643, + 0.49785087311905535, + 0.5103827754089069, + 0.5197177657612011, + 0.5255986645117394, + 0.527847645836627, + 0.5263687276955498, + 0.5211482555725792, + 0.5122533906076414, + 0.4998286617699433, + 0.48409068905623914, + 0.4653212291347783, + 0.44385873530741765, + 0.42008865913662047, + 0.39443275071564177, + 0.3673376376311877, + 0.3392629786251934, + 0.3106694964313589, + 0.28200719505558774, + 0.2537040598920981, + 0.2261555247148213, + 0.19971496813929931, + 0.1746854741725331, + 0.15131305767850933, + 0.12978151685098344, + 0.1102090320903292, + 0.09264658511342148, + 0.07707822484029302, + 0.0634231587958877, + 0.05153960164812463, + 0.041230267264354005, + 0.032249348448156114, + 0.024310790381237644, + 0.017097630701032256, + 0.010272151925995605, + 0.0034865712814072286, + -0.0036060206028898016, + -0.01134076681511019, + -0.020030490390040373, + -0.02995576398959549, + -0.0413558711372857, + -0.05442090397105486, + -0.06928521303395803, + -0.08602238961420987, + -0.10464192146037114, + -0.1250876193372347, + -0.14723786594998406, + -0.17090769141073062, + -0.19585263185164056, + -0.2217742812081525, + -0.24832740178627677, + -0.27512841811852945, + -0.3017650818509263, + -0.3278070639281267, + -0.3528172049632978, + -0.37636313604972177, + -0.3980289708804273, + -0.4174267661972651, + -0.4342074514101277, + -0.4480709396370695, + -0.4587751511530291, + -0.46614370585106624, + -0.47007207319473715, + -0.47053200549496044, + -0.46757412226239353, + -0.4613285588339274, + -0.45200364032603974, + -0.43988259104252136, + -0.4253183385404673, + -0.4087265194145702, + -0.3905768393013322, + -0.3713829814947809, + -0.3516912958521205, + -0.3320685314119023, + -0.31308890154432334, + -0.2953207888543305, + -0.2793134079861678, + -0.2655837476396159, + -0.2546041084014667, + -0.24679054051300073, + -0.24249246571982344, + -0.24198374035399015, + -0.2454553834237003, + -0.2530101545349563, + -0.2646591228831072, + -0.280320321386477, + -0.299819530435226, + -0.32289318490371116, + -0.3491933472630808, + -0.37829464007325764, + -0.40970298404086236, + -0.44286594435425136, + -0.4771844492129253, + -0.5120256113068601, + -0.5467363562850582, + -0.5806575426377327, + -0.6131382453853512, + -0.6435498718170479, + -0.6712997813547043, + -0.69584409334557, + -0.7166993859212107, + -0.7334530155325598, + -0.7457718197345491, + -0.7534090044447569, + -0.7562090602955309, + -0.7541105997792396, + -0.7471470565030827, + -0.7354452388135632, + -0.7192217810798588, + -0.6987775857977772, + -0.6744903971790294, + -0.646805690871068, + -0.6162261038453521, + -0.5832996623451018, + -0.5486070932833402, + -0.5127485249712638, + -0.47632989605209397, + -0.43994939671767996, + -0.40418426358772397, + -0.36957823912243537, + -0.3366299883986082, + -0.30578274097155933, + -0.27741539400922494, + -0.25183527571522024, + -0.2292727261875587, + -0.2098776073357584, + -0.1937178054358006, + -0.18077974053444348, + -0.170970847446193, + -0.1641239447421194, + -0.16000336210318555, + -0.15831265383527532, + -0.15870368826376965, + -0.16078687007334547, + -0.16414222622773392, + -0.1683310665318885, + -0.17290791765070657, + -0.17743242475585264, + -0.18148091802692823, + -0.18465735188443635, + -0.1866033427895021, + -0.18700705623692265, + -0.18561072455158567, + -0.18221661347774343, + -0.17669129639635045, + -0.1689681392778232, + -0.15904794605193603, + -0.1469977617730195, + -0.1329478785705701, + -0.1170871356999018, + -0.09965664887561757, + -0.08094214437650021, + -0.061265109138696254, + -0.04097299830569517, + -0.020428765718055908, + -1.8865749344801865e-16 + ], + [ + 0, + 0.020639998083506333, + 0.0402684817766162, + 0.05857233294088259, + 0.07528207329074252, + 0.09018008624059803, + 0.10310740795873044, + 0.11396890121300997, + 0.122736667532053, + 0.12945159891003752, + 0.13422301859730348, + 0.1372264102191087, + 0.13869928429255032, + 0.13893527990340188, + 0.13827664562445915, + 0.13710528652719958, + 0.13583260226925759, + 0.1348883737566837, + 0.1347089819472098, + 0.13572526130452245, + 0.1383503017373951, + 0.14296751625537354, + 0.14991928693675324, + 0.15949648922825613, + 0.1719291743716387, + 0.18737866236508538, + 0.20593126398152103, + 0.22759381081070057, + 0.2522911280393285, + 0.27986553682521675, + 0.3100784228416601, + 0.34261385611395895, + 0.37708419592054127, + 0.413037564566031, + 0.4499670265008813, + 0.48732126574736745, + 0.5245165159881418, + 0.56094946495517, + 0.5960108287538752, + 0.6290992731353291, + 0.6596353479726622, + 0.6870750985972102, + 0.7109230232949292, + 0.7307440600403755, + 0.7461743071390805, + 0.7569302113510383, + 0.7628159925885487, + 0.7637291155668493, + 0.7596636648382622, + 0.7507115293435034, + 0.7370613547591767, + 0.7189952752383602, + 0.6968834893309072, + 0.6711767966325025, + 0.6423972607807605, + 0.6111272095917354, + 0.5779968233041607, + 0.5436705960864674, + 0.5088329833236703, + 0.4741735670650763, + 0.44037208388999094, + 0.4080836630432835, + 0.377924617914504, + 0.350459120896978, + 0.3261870706827975, + 0.30553343263625665, + 0.2888392977343144, + 0.27635486452515695, + 0.26823450263578175, + 0.2645340066766196, + 0.26521009715703614, + 0.2701221715132021, + 0.2790362548627702, + 0.29163104794071193, + 0.3075059201054757, + 0.3261906495372484, + 0.3471566718889641, + 0.3698295636824483, + 0.3936024585074775, + 0.4178500732547789, + 0.4419430086863938, + 0.46526198391481793, + 0.4872116679203447, + 0.5072337829745863, + 0.5248191744464908, + 0.5395185684415897, + 0.5509517723813733, + 0.558815113120028, + 0.5628869515305717, + 0.5630311605644873, + 0.5591985044012252, + 0.5514259081991637, + 0.5398336598516946, + 0.5246206357578513, + 0.5060576906879921, + 0.4844793961788297, + 0.4602743514408479, + 0.43387432453895636, + 0.4057425087938047, + 0.3763611992919437, + 0.34621920661529865, + 0.3157993291246716, + 0.28556620127879967, + 0.25595482366198175, + 0.22736006094989836, + 0.20012736747563215, + 0.17454496705359093, + 0.15083767512541987, + 0.1291625080947905, + 0.10960617801636079, + 0.09218452178357191, + 0.0768438638617314, + 0.06346426170380234, + 0.05186453452664183, + 0.04180893033726193, + 0.033015244135552735, + 0.02516416313796637, + 0.017909583598180595, + 0.010889619131014994, + 0.0037380029933943974, + -0.00390442302260115, + -0.01237844233109575, + -0.021995723134561992, + -0.033028893226960565, + -0.04570269813768762, + -0.06018648258065676, + -0.07658820083521849, + -0.09495012203481065, + -0.11524635237839566, + -0.13738224912110233, + -0.16119575203761324, + -0.18646060812955076, + -0.21289141593153746, + -0.24015036811331528, + -0.26785552638793486, + -0.29559042215601444, + -0.3229147408789134, + -0.3493758187871141, + -0.3745206579511719, + -0.3979081505584731, + -0.41912119585229274, + -0.4377783938079296, + -0.45354500825115407, + -0.46614290857340146, + -0.4753592230762062, + -0.48105346770785024, + -0.48316295078891813, + -0.4817062963571345, + -0.4767849749603329, + -0.46858277994825187, + -0.45736323833969666, + -0.44346499690430347, + -0.42729527491431957, + -0.4093215238237134, + -0.39006147969898103, + -0.3700718354152322, + -0.34993579540557845, + -0.3302498052066897, + -0.31160977042826343, + -0.2945970945123533, + -0.2797648713512495, + -0.26762456730913203, + -0.25863351745510516, + -0.2531835430785779, + -0.25159097223525767, + -0.2540883127641038, + -0.26081778869669253, + -0.27182690717920094, + -0.28706617500387016, + -0.30638903276729323, + -0.32955402178006576, + -0.35622914543553313, + -0.3859983341084688, + -0.4183698720840675, + -0.45278659775073665, + -0.4886376454845904, + -0.5252714603583568, + -0.5620097859378461, + -0.5981623017434483, + -0.6330415710351563, + -0.6659779518202174, + -0.6963341245758852, + -0.7235188991147452, + -0.7469999800810231, + -0.7663153953390586, + -0.7810833233962797, + -0.7910100942156789, + -0.7958961813850323, + -0.7956400515582549, + -0.7902397881991016, + -0.7797924596926827, + -0.7644912555538155, + -0.7446204674463612, + -0.720548442745743, + -0.6927186861884768, + -0.661639328598585, + -0.627871219710463, + -0.5920149338045229, + -0.5546970014760497, + -0.5165556977845432, + -0.47822672588543874, + -0.44032913583230504, + -0.4034518105631994, + -0.3681408353604965, + -0.33488804370770175, + -0.3041210020554894, + -0.2761946593208252, + -0.25138484489896057, + -0.22988375262015243, + -0.2117974985869144, + -0.1971457894143117, + -0.18586368534103637, + -0.1778053912712964, + -0.17274995931668016, + -0.17040874005231155, + -0.17043437762157737, + -0.17243110704843456, + -0.17596608154166116, + -0.1805814339411286, + -0.18580676032755875, + -0.19117170557159088, + -0.19621833041525005, + -0.2005129475377193, + -0.20365712973556566, + -0.20529761642843386, + -0.2051348745837115, + -0.20293010606781342, + -0.19851053445819894, + -0.19177284944315953, + -0.18268473495002688, + -0.17128445685945254, + -0.1576785363257835, + -0.1420375840638684, + -0.12459041823579503, + -0.10561663258551438, + -0.08543782111677371, + -0.06440769989288067, + -0.042901394594110874, + -0.021304183595991188, + -1.9595039588423992e-16 + ], + [ + 0, + 0.02124208735188127, + 0.04127708823094549, + 0.059800036561435205, + 0.07655638528449761, + 0.0913497979746474, + 0.10404832885259338, + 0.1145888207502926, + 0.12297939686312187, + 0.12929997165315527, + 0.1337007577926208, + 0.13639879825247384, + 0.13767260422400027, + 0.13785502920251513, + 0.13732455600014276, + 0.13649521550711657, + 0.1358053926146338, + 0.13570580490947814, + 0.13664696277323576, + 0.1390664347678939, + 0.14337624926007142, + 0.14995076192781465, + 0.15911530911633903, + 0.17113594918170338, + 0.18621056840816447, + 0.2044615954241944, + 0.22593052907127562, + 0.25057444035554405, + 0.27826456052785736, + 0.3087870156944815, + 0.34184571493883076, + 0.3770673450623778, + 0.4140083720719536, + 0.4521638987741345, + 0.49097818055607634, + 0.5298565588231953, + 0.5681785347012472, + 0.6053116754273032, + 0.6406260231208851, + 0.673508660930266, + 0.7033780852790987, + 0.729698035276809, + 0.7519904412718625, + 0.7698471737773457, + 0.7829403011341659, + 0.7910305986541412, + 0.7939740927788999, + 0.7917264700169567, + 0.7843452309610088, + 0.7719895233129079, + 0.7549176432494434, + 0.7334822502968829, + 0.708123395782466, + 0.679359517554325, + 0.6477766027192137, + 0.6140157644378903, + 0.5787595172543274, + 0.5427170670732893, + 0.5066089559629069, + 0.47115141785183084, + 0.43704080852095784, + 0.4049384718739537, + 0.3754563943391452, + 0.34914398065165025, + 0.32647625764002053, + 0.30784377864377377, + 0.29354446064498024, + 0.28377754009654205, + 0.27863978289575136, + 0.27812403021588694, + 0.2821201062805457, + 0.2904180580000697, + 0.30271364105393206, + 0.3186159138428663, + 0.3376567510408275, + 0.35930204345416705, + 0.38296431163238626, + 0.40801642811749755, + 0.4338061181476228, + 0.4596708916403043, + 0.48495305076807155, + 0.5090144175902073, + 0.5312504349940997, + 0.5511033113885775, + 0.5680739047352392, + 0.5817320739623215, + 0.5917252647602619, + 0.5977851412316357, + 0.5997321237492819, + 0.5974777454474505, + 0.5910247937378794, + 0.5804652577679624, + 0.565976156472961, + 0.5478133734925179, + 0.5263036734529232, + 0.5018351177770412, + 0.47484613620588123, + 0.4458135416744088, + 0.4152398003194012, + 0.3836398846328544, + 0.3515280457325018, + 0.31940484023014276, + 0.2877447382785499, + 0.2569846223181268, + 0.22751346127780228, + 0.19966341315516123, + 0.1737025708279371, + 0.1498295226068589, + 0.12816985153272292, + 0.10877464695495828, + 0.09162104978369492, + 0.07661480030118302, + 0.06359470587727332, + 0.0523388966573758, + 0.04257269152108478, + 0.033977855497127375, + 0.026202994398762523, + 0.01887480360231688, + 0.011609866353015579, + 0.004026683285067569, + -0.004242390672234273, + -0.01353962302938022, + -0.02417110409686978, + -0.03639696195395585, + -0.05042285653241544, + -0.06639298404138361, + -0.08438478371810881, + -0.1044054946811769, + -0.12639066260641113, + -0.15020464525787644, + -0.17564311387092194, + -0.2024374953194999, + -0.23026124922658783, + -0.2587378259836299, + -0.2874501072581355, + -0.31595109111936504, + -0.34377555040897595, + -0.3704523662872105, + -0.39551721968647807, + -0.4185253122065649, + -0.4390637850927521, + -0.45676351044556257, + -0.47130994260382175, + -0.48245273939863004, + -0.4900138921718558, + -0.4938941393788832, + -0.49407748037164173, + -0.4906336525564339, + -0.4837184853910224, + -0.4735720973819537, + -0.4605149560579464, + -0.4449418744892932, + -0.42731406995997984, + -0.40814945957768484, + -0.38801141269412975, + -0.3674962198704187, + -0.34721957175209933, + -0.3278023677622926, + -0.3098561932974918, + -0.2939688146297706, + -0.2806900426946137, + -0.27051831029968143, + -0.2638882921635941, + -0.2611598739322756, + -0.26260874547200586, + -0.2684188560396984, + -0.27867692528903726, + -0.29336915554091275, + -0.3123802385052422, + -0.335494694959156, + -0.3624005300960597, + -0.39269513172288556, + -0.4258932845561268, + -0.46143712287057065, + -0.4987077969369313, + -0.5370385871940112, + -0.5757291649557483, + -0.6140606705174583, + -0.6513112594863758, + -0.6867717565139532, + -0.7197610526406807, + -0.7496408882553527, + -0.7758296780823348, + -0.7978150572937076, + -0.8151648582473948, + -0.8275362647371779, + -0.834682934095242, + -0.8364599259533544, + -0.832826328763532, + -0.8238455300285724, + -0.8096831322606858, + -0.790602572607478, + -0.7669585584981046, + -0.7391884832462805, + -0.707802033049248, + -0.6733692390926734, + -0.6365072644902837, + -0.5978662446879917, + -0.5581145210555447, + -0.5179236201770899, + -0.4779533355431944, + -0.4388372638599789, + -0.40116913515913155, + -0.3654902546583969, + -0.33227834542965007, + -0.30193804511254774, + -0.27479326806677856, + -0.2510815975325467, + -0.23095082173533082, + -0.21445767468690918, + -0.20156878801994585, + -0.19216380589567228, + -0.18604056218478696, + -0.1829221690430384, + -0.18246581991593522, + -0.18427306904082358, + -0.18790131466859283, + -0.19287618534663478, + -0.19870450835947837, + -0.2048875272922933, + -0.21093403194078233, + -0.21637306850466212, + -0.22076591102595144, + -0.2237169960154167, + -0.22488355060065085, + -0.22398367959321527, + -0.22080271771037033, + -0.2151976987567928, + -0.20709984271418008, + -0.19651501315530187, + -0.18352214989091897, + -0.1682697339465987, + -0.15097039253481834, + -0.13189379936133247, + -0.1113580691834103, + -0.08971988392536788, + -0.06736361988955962, + -0.044689770870207535, + -0.022102979650572285, + -2.0247989737671387e-16 + ], + [ + 0, + 0.021754031455992157, + 0.04210304328881997, + 0.06075487832776835, + 0.07747454402596088, + 0.09209143207469454, + 0.10450474999733911, + 0.11468701395862586, + 0.12268550243959056, + 0.12862162348688666, + 0.13268820260340836, + 0.1351447526272565, + 0.13631083977101313, + 0.13655771002139058, + 0.13629838605796918, + 0.13597648556723607, + 0.13605404626320938, + 0.1369986701938545, + 0.1392703193074324, + 0.1433081052657344, + 0.14951741882239353, + 0.158257737652034, + 0.16983143645753707, + 0.1844738998522977, + 0.20234520747408136, + 0.22352362279322313, + 0.2480010730622387, + 0.2756807589008132, + 0.30637697932965796, + 0.33981720296472423, + 0.3756463599288577, + 0.4134332732296899, + 0.4526790942833979, + 0.4928275562869144, + 0.5332768125352926, + 0.5733925857196925, + 0.6125223197631551, + 0.6500099987333443, + 0.685211278508031, + 0.7175085666540044, + 0.7463256846940087, + 0.7711417546394852, + 0.7915039681975415, + 0.8070389220383183, + 0.8174622353440991, + 0.8225862057694182, + 0.8223253059613672, + 0.8166993738083123, + 0.8058344043651657, + 0.7899609086114735, + 0.769409862440241, + 0.7446063271284794, + 0.7160608785902932, + 0.6843590355877089, + 0.6501489254774357, + 0.6141274688156121, + 0.5770254001772329, + 0.5395914709858233, + 0.5025762002908142, + 0.46671555077681737, + 0.4327149095573283, + 0.4012337464344783, + 0.37287130645911765, + 0.34815366918441276, + 0.3275224745644301, + 0.31132557579577563, + 0.2998098335007291, + 0.29311621462254656, + 0.29127730449101946, + 0.2942172830568052, + 0.3017543576859834, + 0.31360558657838206, + 0.3293939702432227, + 0.34865763490942075, + 0.37086088256472693, + 0.3954068386984432, + 0.4216513918195884, + 0.44891808932532445, + 0.47651363300710553, + 0.5037436049057004, + 0.5299280506476294, + 0.5544165528798507, + 0.576602441808937, + 0.595935812769182, + 0.6119350516053776, + 0.6241966066804788, + 0.6324027905510403, + 0.6363274436881685, + 0.6358393458292398, + 0.6309033163032505, + 0.621579001597808, + 0.6080174051199971, + 0.5904552691473778, + 0.5692074710136971, + 0.5446576433482464, + 0.5172472705189259, + 0.4874635492853075, + 0.45582633018092594, + 0.422874476629641, + 0.38915199077633983, + 0.35519425820762435, + 0.3215147581026589, + 0.2885925710576887, + 0.2568609942550607, + 0.2266975433898517, + 0.1984155836063265, + 0.17225778858510868, + 0.14839157896002123, + 0.1269066396503348, + 0.1078145617775874, + 0.09105059996043115, + 0.07647748133196983, + 0.06389114997505917, + 0.05302828094807548, + 0.043575352922561546, + 0.035179028809386795, + 0.02745756060641874, + 0.020012908888467292, + 0.01244324952456031, + 0.004355530792282806, + -0.004622256704472732, + -0.014829427005863358, + -0.026561875983181105, + -0.04006257766543989, + -0.05551355679989639, + -0.07302955629760322, + -0.09265357413102418, + -0.11435439564266382, + -0.1380261953226519, + -0.1634902282339825, + -0.1904985767720148, + -0.21873986472163728, + -0.24784679898489814, + -0.2774053512050871, + -0.3069653480363028, + -0.33605220111037554, + -0.36417947680173945, + -0.3908619824831956, + -0.41562903071097473, + -0.438037536081617, + -0.45768460155736834, + -0.4742192618332645, + -0.4873530705711444, + -0.49686924559409706, + -0.5026301207580376, + -0.5045826943486222, + -0.5027621104803188, + -0.4972929609493925, + -0.4883883490519023, + -0.47634671268001316, + -0.46154646016667306, + -0.444438527460118, + -0.4255370178981509, + -0.4054081347978873, + -0.38465766104920684, + -0.3639172777905125, + -0.3438300450923417, + -0.32503539058997133, + -0.30815396659419025, + -0.2937727419816757, + -0.2824306919516899, + -0.2746054365851068, + -0.2707011583269203, + -0.2710380995208328, + -0.27584390464366304, + -0.285247028793403, + -0.29927238531790284, + -0.3178393524105048, + -0.34076220233393967, + -0.3677529590322633, + -0.3984266316654313, + -0.43230871447487806, + -0.46884478875911306, + -0.5074120119439882, + -0.5473322330185465, + -0.5878864340968619, + -0.6283301655299931, + -0.667909617626862, + -0.7058779562496287, + -0.7415115427203923, + -0.7741256607838843, + -0.8030893847645542, + -0.8278392432621832, + -0.8478913612585751, + -0.8628517996659425, + -0.8724248542551322, + -0.876419124514151, + -0.8747512161199128, + -0.8674469970643861, + -0.854640385687351, + -0.836569707514385, + -0.8135717154533966, + -0.7860734231643546, + -0.7545819529431678, + -0.7196726460030769, + -0.6819757234702758, + -0.6421618197607575, + -0.6009267354734795, + -0.5589757739165052, + -0.5170080334825792, + -0.47570102713219514, + -0.43569599027203837, + -0.3975842196026983, + -0.36189475853434033, + -0.32908371021735955, + -0.2995254179773031, + -0.2735057060131667, + -0.25121732178695244, + -0.23275766688013177, + -0.2181288465762971, + -0.20724001144845222, + -0.19991190819252508, + -0.19588350323731377, + -0.19482049259626852, + -0.19632546623574457, + -0.1999494560215732, + -0.20520456402390408, + -0.21157734338791337, + -0.21854258770035825, + -0.22557717717657244, + -0.23217363122021023, + -0.23785302690904464, + -0.24217696145632447, + -0.24475826319866806, + -0.24527018947988707, + -0.24345389006523901, + -0.23912396040299208, + -0.2321719589865864, + -0.22256781599343292, + -0.21035911494537762, + -0.19566828397150798, + -0.17868778697258386, + -0.159673456233922, + -0.13893615552013872, + -0.11683200521684563, + -0.09375143759327845, + -0.07010737983045996, + -0.046322884351881546, + -0.022818539661676046, + -2.0819482253951928e-16 + ], + [ + 0, + 0.022172635657690284, + 0.04274265563948582, + 0.061435455640987034, + 0.07804020905827957, + 0.09241637259760928, + 0.10449823463994462, + 0.11429737892364675, + 0.12190299038171135, + 0.1274799861943162, + 0.13126501186744627, + 0.1335603979846977, + 0.1347262267843747, + 0.1351707075274662, + 0.13533910447534947, + 0.13570150004379647, + 0.1367397073489249, + 0.13893367009516241, + 0.1427477029568654, + 0.1486169318691795, + 0.15693429078903953, + 0.16803841956144963, + 0.18220278680455004, + 0.1996263327056941, + 0.22042589000496987, + 0.24463059812902604, + 0.2721784764928607, + 0.30291526961966475, + 0.33659562026122625, + 0.37288656853650887, + 0.41137331669195015, + 0.45156714188147523, + 0.49291528479799707, + 0.534812591429755, + 0.5766146399360325, + 0.6176520457811945, + 0.6572456068201439, + 0.6947219267972066, + 0.7294291413071099, + 0.7607523650569504, + 0.7881284834206602, + 0.8110599247198298, + 0.8291270720944715, + 0.8419990047191659, + 0.8494422967388919, + 0.8513276477173962, + 0.8476341695124282, + 0.838451210077296, + 0.8239776533855271, + 0.8045186950546896, + 0.7804801538326468, + 0.7523604384234087, + 0.7207403457181618, + 0.6862709189728887, + 0.649659641549385, + 0.6116552823546042, + 0.5730317420769723, + 0.5345712739148165, + 0.4970474681128154, + 0.46120839587865914, + 0.4277603049840575, + 0.3973522466354054, + 0.3705619913347177, + 0.34788356096979733, + 0.3297166660140067, + 0.31635829141321914, + 0.30799662359327445, + 0.3047074552809641, + 0.30645314585282823, + 0.31308415414506957, + 0.3243430995542987, + 0.33987124731912643, + 0.35921725655370496, + 0.38184797629758527, + 0.4071610268434831, + 0.43449886206604793, + 0.4631639744010818, + 0.49243487833195854, + 0.5215824913401808, + 0.5498865236627698, + 0.5766514900346184, + 0.6012219678107547, + 0.6229967461628407, + 0.6414415399046312, + 0.6560999781911636, + 0.6666026219335989, + 0.6726738131848384, + 0.6741362137482366, + 0.6709129475003177, + 0.6630273199786288, + 0.6506001482061301, + 0.6338447920365098, + 0.6130600340739322, + 0.5886210070756006, + 0.5609684144158299, + 0.5305963295372913, + 0.498038893359302, + 0.4638562535587932, + 0.42862010589413074, + 0.39289920493005626, + 0.35724520949495603, + 0.32217921704044933, + 0.2881793210865985, + 0.25566949765189345, + 0.22501009071960848, + 0.1964901243028088, + 0.17032162062482065, + 0.14663605155308257, + 0.12548299504090563, + 0.1068310113454597, + 0.09057069664107574, + 0.0765198157759704, + 0.06443036273508064, + 0.053997348209572485, + 0.04486906976977865, + 0.036658582594185765, + 0.028956058462919314, + 0.02134169853568523, + 0.01339885185373156, + 0.004726986868391541, + -0.005045832284917677, + -0.016251299696855064, + -0.02917036476457031, + -0.04402415545246316, + -0.06096657349676902, + -0.080078763745341, + -0.10136561103095958, + -0.12475436519904032, + -0.1500954394860196, + -0.17716537077768796, + -0.20567187380421148, + -0.23526086648350497, + -0.26552529180038165, + -0.2960155141240021, + -0.3262510259314527, + -0.355733165593351, + -0.3839585190956771, + -0.41043265903985704, + -0.43468386349370836, + -0.4562764555529434, + -0.47482341188352056, + -0.4899979048874131, + -0.5015434680813631, + -0.5092825071974608, + -0.5131229196024651, + -0.5130626309051924, + -0.5091919089368074, + -0.5016933703777205, + -0.49083965280018016, + -0.4769887833678246, + -0.46057733342475604, + -0.4421115042686372, + -0.4221563421305241, + -0.4013233284547339, + -0.3802566337731224, + -0.3596183587316699, + -0.3400731132542803, + -0.3222723037133131, + -0.3068385078222921, + -0.2943503175004989, + -0.28532802113834205, + -0.28022047870464983, + -0.27939351639735366, + -0.283120132679506, + -0.2915727653970629, + -0.30481782125839585, + -0.3228126154398023, + -0.3454048117656274, + -0.37233439419124126, + -0.4032381396485332, + -0.43765650217915486, + -0.47504276015152785, + -0.5147742236578452, + -0.5561652492584694, + -0.5984817653093264, + -0.640956974253701, + -0.6828078693906556, + -0.7232521834614404, + -0.7615253754224364, + -0.7968972602740626, + -0.82868789483243, + -0.8562823496750172, + -0.8791440237447498, + -0.896826192622255, + -0.9089815234349321, + -0.915369337742637, + -0.9158604573458564, + -0.910439525497411, + -0.8992047560620017, + -0.8823651242966815, + -0.860235073632106, + -0.8332268716428158, + -0.801840803876388, + -0.7666534450203024, + -0.7283042917919367, + -0.6874810798575012, + -0.6449041371088753, + -0.6013101470368521, + -0.557435708231557, + -0.5140010789364858, + -0.4716944890336932, + -0.4311573860282725, + -0.3929709569419451, + -0.3576442351468014, + -0.32560406090037003, + -0.29718711769240647, + -0.27263421464716336, + -0.2520869294337884, + -0.23558666780735296, + -0.22307613647913185, + -0.21440316696595615, + -0.20932677085138818, + -0.2075252529138556, + -0.20860615916323172, + -0.2121177931858878, + -0.2175619973914015, + -0.22440786667211332, + -0.2321060413259865, + -0.24010321433918852, + -0.24785648554020118, + -0.2548472017560853, + -0.26059393772810874, + -0.2646642967588648, + -0.2666852422328819, + -0.26635171044741485, + -0.2634333006025525, + -0.2577788881723106, + -0.2493190619311326, + -0.2380663412735106, + -0.22411318771323405, + -0.2076278811378033, + -0.1888483860942264, + -0.1680743847178235, + -0.14565769959541278, + -0.12199137070648008, + -0.09749768458666803, + -0.07261548015642824, + -0.04778707359790216, + -0.023445153799816, + -2.1305333457443468e-16 + ], + [ + 0, + 0.022495851472507048, + 0.04319461645292752, + 0.06184401203520992, + 0.07826191294968537, + 0.0923420028908107, + 0.10405730936433585, + 0.11346152147769747, + 0.12068804788251393, + 0.1259468310388868, + 0.12951899261234284, + 0.13174944164725136, + 0.13303763074135846, + 0.13382669441116843, + 0.134591246938568, + 0.13582415312275875, + 0.13802261359956386, + 0.14167392600114354, + 0.1472412936974906, + 0.15515005490012215, + 0.1657746964677783, + 0.1794269990211787, + 0.19634563336989816, + 0.2166874934233298, + 0.24052100855100503, + 0.26782162981314395, + 0.29846963079882216, + 0.33225030631625657, + 0.3688565923051299, + 0.40789406957497726, + 0.44888825383231756, + 0.4912940164462275, + 0.534506925971542, + 0.5778762509691662, + 0.62071932138231, + 0.6623369097429211, + 0.7020292657124406, + 0.7391124186218251, + 0.7729343532641779, + 0.802890664473409, + 0.8284393060188172, + 0.8491140688425902, + 0.8645364522138865, + 0.8744256282937191, + 0.8786062450154719, + 0.8770138630162203, + 0.8696978783733071, + 0.8568218427480536, + 0.8386611547564733, + 0.8155981594571001, + 0.7881147552267959, + 0.7567826674595521, + 0.7222516049960316, + 0.6852355665867705, + 0.6464976097464367, + 0.6068334319612696, + 0.5670541434393803, + 0.5279686307211843, + 0.4903659209943039, + 0.45499795761849976, + 0.4225631881374462, + 0.39369134715379395, + 0.3689297883271024, + 0.34873168310179, + 0.33344635947428725, + 0.32331200324219356, + 0.3184508879813417, + 0.3188672398373009, + 0.3244477805606753, + 0.33496492858570814, + 0.3500825748973263, + 0.36936428948589833, + 0.39228375683183286, + 0.4182371864847584, + 0.44655739867204813, + 0.4765292461020423, + 0.5074060026499261, + 0.5384263281556427, + 0.5688314066281146, + 0.5978818530084901, + 0.6248739913263454, + 0.6491551243746467, + 0.6701374414837439, + 0.6873102459193025, + 0.7002502259835923, + 0.7086295429982116, + 0.7122215637641093, + 0.7109041234781934, + 0.7046602659862925, + 0.6935764701622603, + 0.6778384325933368, + 0.657724536109545, + 0.6335971895606199, + 0.605892275248186, + 0.5751069853176131, + 0.541786366111525, + 0.5065089190746425, + 0.46987162757045037, + 0.432474790437607, + 0.3949070450240774, + 0.35773095477419764, + 0.32146951943106705, + 0.28659394000940713, + 0.25351293656863466, + 0.22256387535243263, + 0.1940059141213048, + 0.16801532170475345, + 0.14468307128056299, + 0.12401474808156354, + 0.10593275262116608, + 0.09028072162178583, + 0.07683003210856977, + 0.06528820102138529, + 0.05530894453472611, + 0.046503619266053765, + 0.038453732749992246, + 0.030724183828305274, + 0.022876875619272635, + 0.014484334930033158, + 0.0051429725751725225, + -0.005514370958983146, + -0.017806930971658454, + -0.031995883872484365, + -0.04827584547673059, + -0.06676823271446708, + -0.08751667060442175, + -0.1104845730491693, + -0.1355549693638586, + -0.16253258989186267, + -0.19114816507241866, + -0.22106483440418057, + -0.25188650636543203, + -0.2831679589148118, + -0.3144264240159304, + -0.34515435988462784, + -0.3748330823676151, + -0.4029469028585634, + -0.4289974050677473, + -0.4525174871866221, + -0.4730847996982054, + -0.4903342222091314, + -0.5039690449146461, + -0.5137705511193751, + -0.5196057358743923, + -0.5214329413072435, + -0.519305240494435, + -0.5133714574873847, + -0.5038747699699925, + -0.491148901535136, + -0.47561197121086934, + -0.45775812713011876, + -0.43814714763693813, + -0.4173922452418943, + -0.39614635536692905, + -0.3750872315793074, + -0.3549017009945881, + -0.3362694569095305, + -0.31984677989932775, + -0.30625058319763465, + -0.29604317302786276, + -0.28971809976579194, + -0.2876874517211693, + -0.29027091049469633, + -0.2976868460787547, + -0.31004568210554484, + -0.3273457080590145, + -0.34947145715692607, + -0.3761947073900803, + -0.40717810036977314, + -0.44198130971658456, + -0.4800696292629989, + -0.5208247928444861, + -0.56355778335369, + -0.607523340358892, + -0.6519358341306575, + -0.6959861404012014, + -0.7388591254267887, + -0.7797513355484912, + -0.8178884798344409, + -0.8525422986831245, + -0.8830464253742615, + -0.9088108711341414, + -0.9293347967658572, + -0.9442172744938371, + -0.95316579139998, + -0.9560022995241884, + -0.9526666760584437, + -0.9432175186598237, + -0.9278302642446656, + -0.9067926831619199, + -0.8804978628333782, + -0.8494348542805088, + -0.8141772099921291, + -0.7753696909906237, + -0.7337134635327398, + -0.6899501406087893, + -0.6448450494497195, + -0.5991701229972168, + -0.5536868203494216, + -0.5091294784137776, + -0.4661894844708325, + -0.42550063740948896, + -0.38762603459742323, + -0.35304678247891474, + -0.3221527830220963, + -0.29523579621776735, + -0.2724849222556177, + -0.25398458717637035, + -0.23971505420261832, + -0.22955542111022037, + -0.22328900344166797, + -0.22061094557376418, + -0.22113784805295966, + -0.2244191515146593, + -0.22994997608014728, + -0.23718508138079514, + -0.2455535871051914, + -0.25447407779943054, + -0.26336970894531825, + -0.27168293423078277, + -0.2788894863074002, + -0.2845112648611401, + -0.2881278159367559, + -0.289386124372659, + -0.2880084859480088, + -0.28379827627424525, + -0.27664348829699437, + -0.2665179681207479, + -0.25348033826462807, + -0.23767065690343495, + -0.2193049196454169, + -0.1986675654872501, + -0.17610219938279584, + -0.15200078909040216, + -0.12679163249034994, + -0.10092642242581717, + -0.07486675854741327, + -0.049070469075909805, + -0.023978109509973256, + -2.1702366992562102e-16 + ], + [ + 0, + 0.02272282655911415, + 0.04346006456362582, + 0.06198648140073539, + 0.07815304792430981, + 0.09189159892424037, + 0.10321723062803535, + 0.11222836488572446, + 0.11910447057097343, + 0.12410149393726723, + 0.12754510964486107, + 0.12982196139856642, + 0.13136911415309258, + 0.1326619873009639, + 0.13420107894588945, + 0.13649782423876955, + 0.14005995496644988, + 0.14537674250370586, + 0.15290451146824396, + 0.16305280680111042, + 0.17617158262217802, + 0.19253975741873014, + 0.21235544748784174, + 0.23572814986639198, + 0.26267309824545687, + 0.29310796175642256, + 0.3268519983616625, + 0.36362771332677657, + 0.40306501041849846, + 0.44470776062954, + 0.48802265194962857, + 0.5324101255162955, + 0.5772171498513082, + 0.6217515371707574, + 0.6652974651563427, + 0.7071318351260479, + 0.7465410740775302, + 0.7828379742096344, + 0.8153781596321771, + 0.843575776180957, + 0.8669180164434069, + 0.884978117902633, + 0.8974265069175923, + 0.9040398042447033, + 0.904707457937588, + 0.899435825524899, + 0.888349588000637, + 0.871690441891334, + 0.8498130809352923, + 0.8231785441256729, + 0.7923450704352094, + 0.7579566608975341, + 0.72072960438697, + 0.6814372730468388, + 0.6408935356445946, + 0.5999351711363846, + 0.559403689563031, + 0.5201269824570343, + 0.4829012298381605, + 0.44847348548466154, + 0.41752534661099716, + 0.39065808873315966, + 0.3683796119712909, + 0.3510935021631121, + 0.33909045998214044, + 0.3325422949918201, + 0.3314986205895184, + 0.3358863215868391, + 0.3455118002975752, + 0.36006594106461254, + 0.379131668755753, + 0.4021939154605214, + 0.42865175291314767, + 0.45783239742490617, + 0.4890067505582088, + 0.5214061034640245, + 0.5542396065789329, + 0.5867120898599605, + 0.618041812306999, + 0.647477723318437, + 0.6743158323288305, + 0.6979143068230621, + 0.7177069516056578, + 0.7332147632993943, + 0.7440553024235341, + 0.7499496798514144, + 0.7507270136147121, + 0.7463262744391765, + 0.7367955025184117, + 0.7222884422741724, + 0.7030587046298483, + 0.6794516260942504, + 0.6518940492493026, + 0.62088229870564, + 0.5869686690296658, + 0.5507467755267589, + 0.512836144262593, + 0.47386643371513626, + 0.43446168660805323, + 0.3952250066619601, + 0.35672404134192665, + 0.31947762855107, + 0.2839439332298146, + 0.25051035979677444, + 0.21948547933739251, + 0.19109315761072873, + 0.1654690126458971, + 0.14265927038964019, + 0.12262202507018963, + 0.1052308492189567, + 0.09028063819574907, + 0.07749551710645297, + 0.06653858561506004, + 0.057023229648240935, + 0.04852568953465152, + 0.0405985426985287, + 0.03278473642060526, + 0.024631792949091298, + 0.015705805713233132, + 0.005604851641113338, + -0.006028539554998419, + -0.0194961931971938, + -0.03503467500760361, + -0.05280751312937447, + -0.07289946791947478, + -0.0953130071996491, + -0.11996708713821325, + -0.14669827879683822, + -0.17526421913810475, + -0.20534930450505112, + -0.23657248579636167, + -0.26849696926416655, + -0.3006415764631127, + -0.33249347266472795, + -0.36352193615136624, + -0.39319281216760826, + -0.4209832756757921, + -0.44639651695279065, + -0.46897596375529726, + -0.48831866330289736, + -0.5040874664676341, + -0.5160216848593931, + -0.5239459282713859, + -0.5277768742988614, + -0.5275277727748791, + -0.5233105437230825, + -0.5153353874191263, + -0.5039078873910928, + -0.48942365022427564, + -0.47236058829344096, + -0.4532690114678517, + -0.43275974991799254, + -0.4114905809865208, + -0.39015127738621497, + -0.36944763062995817, + -0.3500848316460273, + -0.33275060926054095, + -0.3180985361425519, + -0.3067319106522553, + -0.2991886118047793, + -0.2959273035057136, + -0.297315333818446, + -0.30361863600784184, + -0.31499389140456874, + -0.33148316087579244, + -0.3530111331612771, + -0.37938507596173415, + -0.4102975109683423, + -0.44533156857858847, + -0.48396891345443305, + -0.5256000699266996, + -0.569536918058818, + -0.6150270783832529, + -0.6612698572137894, + -0.707433386152433, + -0.752672559896707, + -0.7961473564423452, + -0.837041113767216, + -0.874578337328355, + -0.9080416232088723, + -0.9367873022664108, + -0.960259440666804, + -0.9780018710085852, + -0.9896679749141093, + -0.9950279913472074, + -0.9939736837166605, + -0.9865202616087873, + -0.9728055182327808, + -0.9530862107716443, + -0.9277317762014741, + -0.8972155381834497, + -0.8621036198152103, + -0.8230418309163187, + -0.7807408458120672, + -0.7359600271299032, + -0.6894902819831874, + -0.6421363583521142, + -0.59469900097756, + -0.5479573874012853, + -0.5026522559064321, + -0.45947011827730544, + -0.41902892199287173, + -0.38186548941217874, + -0.3484250166338416, + -0.3190528631382406, + -0.2939888063355755, + -0.2733638741614082, + -0.25719980539541437, + -0.24541112299851386, + -0.23780974205739688, + -0.2341119724623014, + -0.23394771873372391, + -0.23687162686996888, + -0.24237588199252336, + -0.24990432203974372, + -0.25886750273069714, + -0.2686583282064116, + -0.2786678506411379, + -0.28830084094501984, + -0.29699074144741267, + -0.3042136299053021, + -0.3095008518310114, + -0.312450014257125, + -0.312734077723196, + -0.3101083333614987, + -0.30441510720201614, + -0.29558609280836257, + -0.28364227460331554, + -0.26869146619822615, + -0.2509235491430146, + -0.23060355622455778, + -0.20806279828561752, + -0.1836882831375239, + -0.15791071825474978, + -0.1311914244899448, + -0.10400851514698642, + -0.07684271272354827, + -0.05016318404030308, + -0.024413773108988266, + -2.200847561863644e-16 + ], + [ + 0, + 0.022853940323905933, + 0.043542621913924585, + 0.061872486621815666, + 0.0777317914764011, + 0.09109414738926297, + 0.10201966383809234, + 0.11065366255502213, + 0.11722298674585754, + 0.12202999526804088, + 0.12544439190326578, + 0.12789309683189412, + 0.12984841920059148, + 0.13181483495105403, + 0.1343147116879637, + 0.13787335134161008, + 0.1430037409741502, + 0.1501914117724018, + 0.15987980579662756, + 0.1724565394012535, + 0.18824093165279507, + 0.20747313603517395, + 0.23030517498365297, + 0.25679413027617415, + 0.28689768918168995, + 0.32047218783386966, + 0.3572732310154294, + 0.39695890295279956, + 0.4390955184432484, + 0.4831657992981855, + 0.5285792992985023, + 0.5746848431720051, + 0.6207846929719479, + 0.6661501099772852, + 0.7100379429992909, + 0.7517078457188091, + 0.7904397071258403, + 0.8255508707815061, + 0.8564127207127633, + 0.8824662242654807, + 0.9032360449063043, + 0.9183428702510619, + 0.9275136417411298, + 0.9305894214026368, + 0.9275306868236665, + 0.9184199065215566, + 0.903461312761472, + 0.8829778560466781, + 0.8574053932894974, + 0.8272842284308694, + 0.7932481883693148, + 0.7560114769137333, + 0.7163536036174466, + 0.6751027314502096, + 0.6331178261587939, + 0.5912700198934506, + 0.55042362149925, + 0.5114172152922831, + 0.47504528891989256, + 0.44204081906089326, + 0.4130592215359402, + 0.38866404040287944, + 0.3693147095807094, + 0.35535667147365013, + 0.34701408114580656, + 0.3443852631866484, + 0.34744102300198393, + 0.35602584645567364, + 0.36986195322377186, + 0.3885561015726075, + 0.4116089771797575, + 0.4384269376624653, + 0.46833582913979166, + 0.5005965427717947, + 0.5344219389587337, + 0.5689947357127186, + 0.603485936376553, + 0.6370733608606398, + 0.6689598441456185, + 0.6983906759425492, + 0.7246698758412459, + 0.7471749284856402, + 0.7653696425283512, + 0.7788148443505644, + 0.787176671607769, + 0.7902322912308274, + 0.7878729300963534, + 0.7801041726057262, + 0.7670435462465425, + 0.7489154822057686, + 0.7260438016364485, + 0.6988419376901762, + 0.6678011574593054, + 0.6334770952085884, + 0.5964749475695121, + 0.5574337117755226, + 0.5170098688087061, + 0.47586092402485564, + 0.4346292181926709, + 0.3939264119498929, + 0.3543190267267185, + 0.3163153957458303, + 0.28035434054534847, + 0.24679584256828135, + 0.2159139268930571, + 0.18789191747975148, + 0.16282016183880785, + 0.14069625934819732, + 0.1214277631583703, + 0.10483726235155671, + 0.0906696903545859, + 0.07860164906594604, + 0.0682524871660811, + 0.05919682691141871, + 0.0509781974707483, + 0.043123405450247294, + 0.0351572553506223, + 0.026617224746539287, + 0.01706770116413172, + 0.006113399890879185, + -0.00658839603603644, + -0.021317101216694646, + -0.03827988661245925, + -0.05760477259226121, + -0.07933594411879885, + -0.10343141788323468, + -0.12976312981797863, + -0.15811944822520307, + -0.1882100543570554, + -0.219673070281367, + -0.25208425483912367, + -0.28496803394825043, + -0.3178100828222913, + -0.35007113609584467, + -0.38120166844703485, + -0.4106570639424577, + -0.437912877637187, + -0.46247978833467523, + -0.4839178469894416, + -0.5018496409038279, + -0.5159720192599341, + -0.5260660600255603, + -0.5320050010354946, + -0.5337599080250408, + -0.5314029083466342, + -0.5251078796461046, + -0.5151485464080565, + -0.5018940024151562, + -0.48580174217789224, + -0.46740834765332956, + -0.4473180364970522, + -0.4261893331751072, + -0.4047201731126494, + -0.3836317914354525, + -0.363651780714681, + -0.3454967256089949, + -0.32985483579648167, + -0.31736900173393634, + -0.3086206904600999, + -0.30411508101931745, + -0.3042678115250799, + -0.30939367305762877, + -0.319697540375292, + -0.33526777690356124, + -0.35607229291960873, + -0.38195737269465757, + -0.4126493201304056, + -0.4477589047448465, + -0.4867885223825085, + -0.529141919396952, + -0.5741362668892396, + -0.6210163144120124, + -0.6689703017712735, + -0.7171472644284229, + -0.7646753335882774, + -0.8106806072075726, + -0.8543061534910752, + -0.8947307043287771, + -0.9311866026787383, + -0.9629765849660087, + -0.9894890067409837, + -1.0102111564651723, + -1.0247403474816859, + -1.032792530884819, + -1.0342082308482772, + -1.028955667573513, + -1.017130999830976, + -0.9989556874621673, + -0.9747710425255283, + -0.9450301043433321, + -0.9102870369226201, + -0.8711843055467149, + -0.8284379413521697, + -0.7828212471620241, + -0.7351473336692995, + -0.6862509013972309, + -0.6369697000807822, + -0.5881261028424386, + -0.5405092276571529, + -0.4948580232600197, + -0.4518457112460704, + -0.41206594129119617, + -0.37602097306398896, + -0.34411214758577996, + -0.31663285379730666, + -0.29376413432226556, + -0.2755730094120273, + -0.2620135314201613, + -0.2529305155352421, + -0.24806582753678433, + -0.24706704762853188, + -0.24949827245834758, + -0.25485276664575557, + -0.26256713174237273, + -0.27203662559654235, + -0.2826312394192625, + -0.29371212405942926, + -0.30464795145112517, + -0.31483080199730634, + -0.3236911836481632, + -0.33071181321087995, + -0.3354398243394736, + -0.33749710882187134, + -0.3365885471249054, + -0.33250793941826734, + -0.32514150807204445, + -0.3144689053954494, + -0.3005617245708805, + -0.2835795757188595, + -0.2637638511952607, + -0.24142936300992945, + -0.2169540891901692, + -0.19076731364222838, + -0.1633364843951701, + -0.13515314703805736, + -0.10671833288938473, + -0.07852779440530425, + -0.05105748322482251, + -0.024749659003941132, + -2.2222670470174246e-16 + ], + [ + 0, + 0.022890824677088983, + 0.043448398551969934, + 0.0615152922226714, + 0.07702097130263315, + 0.0899840900691743, + 0.10051227804095361, + 0.10879941876974483, + 0.11512048570639727, + 0.11982406399710949, + 0.12332274785821548, + 0.12608165921928308, + 0.12860538318758094, + 0.1314236582982643, + 0.1350761933866434, + 0.1400970073779426, + 0.1469987026980851, + 0.1562570869801655, + 0.16829655115111575, + 0.18347659497251, + 0.2020798640812634, + 0.22430202618508763, + 0.25024376920490754, + 0.279905151927065, + 0.31318247942375266, + 0.3498678125672064, + 0.3896511549669737, + 0.43212529324526006, + 0.4767931994170554, + 0.523077838940728, + 0.5703341663873688, + 0.6178630341941532, + 0.6649266900446329, + 0.7107654963234861, + 0.7546154718992326, + 0.7957262330514567, + 0.833378897294357, + 0.8669035115151928, + 0.8956955743382525, + 0.91923124176807, + 0.9370808345214455, + 0.948920304334233, + 0.9545403639969714, + 0.9538530407899841, + 0.9468954740241666, + 0.9338308430652548, + 0.914946380926713, + 0.8906484985815944, + 0.8614551148524328, + 0.8279853543819922, + 0.7909468401061615, + 0.7511208652720904, + 0.709345781926475, + 0.6664989866609027, + 0.6234779191589536, + 0.5811805138809797, + 0.5404855594284834, + 0.5022334233911169, + 0.46720759270365214, + 0.4361174609066708, + 0.40958276465777776, + 0.3881200330800023, + 0.37213136599878627, + 0.36189580196181526, + 0.35756347549693945, + 0.35915269683629847, + 0.3665500179304296, + 0.3795132776828689, + 0.3976775486777991, + 0.4205638389683594, + 0.4475903374102879, + 0.4780859311438109, + 0.5113056705967278, + 0.5464478120898799, + 0.5826720318633002, + 0.6191183789754906, + 0.6549265186840655, + 0.6892548129590585, + 0.7212987908087027, + 0.750308577939737, + 0.7756048824933577, + 0.796593170502713, + 0.8127757103802571, + 0.8237612190217182, + 0.8292719016808033, + 0.8291477421458945, + 0.8233479673420105, + 0.8119496796174753, + 0.7951437189496341, + 0.7732278844198842, + 0.7465977079171012, + 0.7157350315724805, + 0.6811946924788875, + 0.6435896625390484, + 0.6035750267493483, + 0.5618312090111981, + 0.5190468700632263, + 0.4759019069953101, + 0.433050977954871, + 0.3911079592689029, + 0.350631715725804, + 0.3121135288832926, + 0.27596648391958867, + 0.24251706386085423, + 0.21199914231555658, + 0.18455050359075237, + 0.16021195383174688, + 0.13892902026228413, + 0.12055616938482999, + 0.10486341079517851, + 0.09154509268525052, + 0.08023063967142886, + 0.07049693468088072, + 0.06188200547675441, + 0.05389964403033032, + 0.04605456415769058, + 0.0378576901920372, + 0.028841167266445495, + 0.018572692078479777, + 0.006668781576378127, + -0.0071933746333322085, + -0.023265794931044713, + -0.04172159061901673, + -0.06264907389247217, + -0.08604824948310398, + -0.11182978835637143, + -0.13981651702409537, + -0.16974739029367594, + -0.2012838502832536, + -0.23401841193881076, + -0.26748525668568734, + -0.30117256272494863, + -0.33453625419960786, + -0.3670148131909737, + -0.3980447692450308, + -0.42707646163096363, + -0.4535896603123627, + -0.47710863292230327, + -0.4972162568681204, + -0.5135667977776006, + -0.5258970073050656, + -0.5340352340680715, + -0.5379082901821177, + -0.5375458712997293, + -0.5330823888682253, + -0.5247561379867972, + -0.5129057911580255, + -0.49796427572181634, + -0.4804501591428598, + -0.4609567299323334, + -0.44013902122184484, + -0.4186990773796966, + -0.3973698102155219, + -0.37689782908558717, + -0.35802565761904903, + -0.3414737680978333, + -0.327922872250403, + -0.3179969041355724, + -0.31224711693669027, + -0.3111376911663709, + -0.31503321756430963, + -0.32418837466863376, + -0.3387400696939289, + -0.35870225319670224, + -0.383963554462144, + -0.41428781715104734, + -0.4493175451467785, + -0.48858019844056066, + -0.5314972100059425, + -0.5773955286295, + -0.6255214312058006, + -0.6750562925820706, + -0.7251339530180178, + -0.7748592838944601, + -0.8233275224371387, + -0.8696439266624925, + -0.9129432929904548, + -0.9524088812325401, + -0.9872903049074423, + -1.016919968748995, + -1.0407276692779353, + -1.058253017588356, + -1.069155395002774, + -1.0732212107260564, + -1.0703682946568447, + -1.0606473265382683, + -1.0442402729931926, + -1.0214558749812677, + -0.9927222981095043, + -0.9585771253262615, + -0.919654934201523, + -0.8766727577242984, + -0.8304137769584646, + -0.7817096347990071, + -0.7314217914790017, + -0.6804223636451839, + -0.6295748992500235, + -0.5797155399680378, + -0.5316350113708178, + -0.48606185899404836, + -0.4436473162665209, + -0.4049521488578353, + -0.37043577037632563, + -0.34044786774997354, + -0.315222712458009, + -0.29487626759157043, + -0.27940613214599264, + -0.2686942946783251, + -0.26251260020842676, + -0.26053076867860053, + -0.26232674202303824, + -0.2673990814324398, + -0.2751810880821493, + -0.2850562805950936, + -0.2963748317958408, + -0.3084705466090725, + -0.32067795274412825, + -0.3323490763050612, + -0.34286948562391295, + -0.35167320811972413, + -0.358256156266452, + -0.36218773899605694, + -0.3631203830340056, + -0.3607967435324349, + -0.35505444353635723, + -0.3458282457653822, + -0.3331496263012486, + -0.31714378637249213, + -0.2980242038449724, + -0.2760848886166461, + -0.2516905643060043, + -0.22526505095827373, + -0.1972781686629197, + -0.16823151885309465, + -0.1386435277251332, + -0.10903415398926147, + -0.07990967060601369, + -0.051747927101543315, + -0.024984485578600855, + -2.2345117074042277e-16 + ], + [ + 0, + 0.02283636954845353, + 0.043185966834339125, + 0.06093171115614635, + 0.07604787060632553, + 0.08860099686683996, + 0.09874826031785722, + 0.1067332235701642, + 0.11287915858578418, + 0.11758007699384863, + 0.12128970340181418, + 0.12450867591335521, + 0.127770305305817, + 0.13162526318337783, + 0.1366255989080956, + 0.14330850445570228, + 0.15218025503643193, + 0.16370075112056237, + 0.17826907444442125, + 0.19621044694906797, + 0.21776494799008952, + 0.24307830237403544, + 0.27219500087756743, + 0.3050539571474634, + 0.3414868416955175, + 0.3812191666632304, + 0.42387412580773376, + 0.46897912448163426, + 0.5159748659893951, + 0.5642267953172841, + 0.6130386404972936, + 0.661667737310237, + 0.7093417760412105, + 0.7552765707685742, + 0.7986944231769966, + 0.8388426348776321, + 0.8750117151770284, + 0.906552835372783, + 0.9328940959033369, + 0.9535551987011752, + 0.9681601532850908, + 0.9764476906172055, + 0.9782791124514105, + 0.9736433645138741, + 0.9626591879119986, + 0.9455742730573458, + 0.9227614124044875, + 0.8947117206900124, + 0.8620250623302723, + 0.8253978934609671, + 0.7856087891089429, + 0.743501982625326, + 0.6999692933821515, + 0.6559308586337794, + 0.6123151153802078, + 0.5700384972958348, + 0.5299853198201914, + 0.49298832313654334, + 0.4598103280593253, + 0.4311274341591158, + 0.40751415339078995, + 0.38943082692723957, + 0.377213618941393, + 0.37106732003268794, + 0.37106112634394567, + 0.37712748978115446, + 0.3890640618498371, + 0.4065386802303393, + 0.42909727511494516, + 0.4561745032742077, + 0.4871068534848038, + 0.521147908896466, + 0.5574854015459316, + 0.5952596527568048, + 0.6335829615918612, + 0.6715594826011351, + 0.7083051243257014, + 0.7429670015900489, + 0.7747419874832419, + 0.802893934751308, + 0.8267691704927453, + 0.845809911704748, + 0.859565301277009, + 0.8676998231757633, + 0.8699989203336477, + 0.8663717075561166, + 0.8568507428715314, + 0.8415888924350868, + 0.820853394581464, + 0.7950172961759513, + 0.7645484973833286, + 0.7299966978196427, + 0.691978586390639, + 0.6511616577575824, + 0.6082470693302041, + 0.5639519732336565, + 0.5189917673574541, + 0.47406270816695095, + 0.4298253155152236, + 0.38688897658243687, + 0.3457981229028056, + 0.30702031207698005, + 0.2709364952984698, + 0.23783369453473263, + 0.20790025055243969, + 0.18122373654904328, + 0.15779156362697272, + 0.13749423544992262, + 0.12013114188618722, + 0.10541871696798705, + 0.0930007266950581, + 0.08246039858223674, + 0.07333405873421214, + 0.06512590477533312, + 0.05732351509857128, + 0.04941367731355065, + 0.04089811189784453, + 0.03130867104759583, + 0.020221607468484847, + 0.007270532961073061, + -0.007842278510275722, + -0.02533654490872457, + -0.04534683763416405, + -0.06791784290915186, + -0.09300215275732275, + -0.12046064919522033, + -0.1500654774894546, + -0.18150553660780813, + -0.2143943490349196, + -0.24828010960629818, + -0.2826576555289972, + -0.31698204876787417, + -0.35068341878540643, + -0.3831826793377709, + -0.4139077085345998, + -0.4423095673036223, + -0.46787832814176755, + -0.4901580936876831, + -0.5087608030493126, + -0.5233784525262621, + -0.5337933956828275, + -0.5398864347139787, + -0.5416424695443758, + -0.5391535317602764, + -0.5326190957895481, + -0.5223436280899746, + -0.5087314047753915, + -0.49227869736109053, + -0.47356349340892767, + -0.4532329821134087, + -0.4319890926991417, + -0.4105724244358053, + -0.38974494982581803, + -0.37027190598967225, + -0.35290331260007324, + -0.33835556728440364, + -0.3272935708770177, + -0.3203138251848305, + -0.3179289252347359, + -0.3205538367753132, + -0.32849430884468456, + -0.34193772147106577, + -0.3609466112414831, + -0.3854550539462009, + -0.41526801532614377, + -0.45006370978037624, + -0.48939893446970784, + -0.5327172743536688, + -0.579360004084981, + -0.6285794470679089, + -0.6795544919790633, + -0.7314079141300742, + -0.7832251045277571, + -0.8340737744613556, + -0.883024178788278, + -0.9291693874168996, + -0.9716451321452252, + -1.0096487650785053, + -1.042456885108304, + -1.0694412199068977, + -1.0900823918283575, + -1.1039812460209704, + -1.1108674767345017, + -1.1106053518493628, + -1.1031964045065707, + -1.088779032703002, + -1.067625021085253, + -1.040133072143182, + -1.0068195047973054, + -0.9683063452730374, + -0.9253070965362208, + -0.8786105269413794, + -0.8290628648026576, + -0.7775488222282759, + -0.7249718978854238, + -0.6722344237605636, + -0.6202178250954086, + -0.5697635554337238, + -0.5216551503102183, + -0.4766018140249919, + -0.43522391491212054, + -0.3980407165086326, + -0.3654606162592443, + -0.33777410124012025, + -0.31514956339355255, + -0.29763204659300824, + -0.28514492623757765, + -0.27749445077167434, + -0.2743770052936458, + -0.27538889195449195, + -0.2800383617569707, + -0.2877595791115191, + -0.29792815538158035, + -0.3098778517457863, + -0.3229180258757574, + -0.3363513817819281, + -0.3494915780550591, + -0.3616802566927977, + -0.37230307253782996, + -0.3808043315856998, + -0.3866998843076514, + -0.3895879666989615, + -0.38915773581436647, + -0.3851953067129258, + -0.3775871624790835, + -0.36632087667730556, + -0.35148315652640216, + -0.33325528351089917, + -0.31190609436016503, + -0.2877827076600575, + -0.26129925825464684, + -0.23292395162453955, + -0.20316479234493884, + -0.1725543734878088, + -0.14163413662670016, + -0.11093852436976843, + -0.08097944879127457, + -0.052231489732127316, + -0.02511821694637622, + -2.237715756273737e-16 + ], + [ + 0, + 0.02269471294813116, + 0.042766304844330284, + 0.06014196641110531, + 0.0748439755376095, + 0.08698917073221102, + 0.09678575495146019, + 0.10452750894983594, + 0.11058556118124256, + 0.115397925484496, + 0.1194570766678699, + 0.12329588617193335, + 0.12747228390569376, + 0.1325530469927223, + 0.13909714063805087, + 0.14763904999459798, + 0.15867254440218936, + 0.1726353066058388, + 0.18989483972873564, + 0.21073603435354174, + 0.23535073779405774, + 0.26382961850748887, + 0.2961565618188941, + 0.3322057701113885, + 0.37174167294478705, + 0.414421681888319, + 0.4598017529546406, + 0.5073446482018111, + 0.5564307191157217, + 0.6063709695311666, + 0.6564220967302618, + 0.7058031574680105, + 0.7537134623353751, + 0.7993512681894378, + 0.8419328152294224, + 0.8807112432881863, + 0.9149949213775213, + 0.9441647355243826, + 0.9676899022302703, + 0.9851419079632662, + 0.996206218169331, + 1.0006914513348963, + 0.998535773391116, + 0.9898103337726992, + 0.974719635124764, + 0.9535988022652946, + 0.9269077907584917, + 0.8952226495044386, + 0.8592240232857032, + 0.8196831484734224, + 0.7774456564278495, + 0.7334135530185533, + 0.6885257878052353, + 0.6437378616431463, + 0.6000009459304363, + 0.5582409997848321, + 0.5193383727888227, + 0.4841083705280147, + 0.45328323820692096, + 0.42749598468310557, + 0.40726642610725455, + 0.39298977603661905, + 0.3849280486706049, + 0.3832044752019265, + 0.38780106180438806, + 0.3985593432266342, + 0.415184310142976, + 0.4372514131711523, + 0.46421647363141255, + 0.4954282624607062, + 0.5301434458759746, + 0.5675435409234191, + 0.6067534772964661, + 0.6468613248800525, + 0.6869387202668441, + 0.7260615106126699, + 0.763330129995855, + 0.7978892319733776, + 0.8289461220533284, + 0.8557875648134089, + 0.8777945816057657, + 0.8944549051666333, + 0.9053728157386801, + 0.9102761480661596, + 0.9090203282329231, + 0.9015893720597704, + 0.8880938508651623, + 0.8687659039974153, + 0.8439514488582496, + 0.8140998064085512, + 0.7797510217326649, + 0.7415212136368325, + 0.7000863331510746, + 0.6561647470859733, + 0.6104990886010933, + 0.5638378314667154, + 0.5169170480177671, + 0.4704428026651609, + 0.42507461348653036, + 0.38141038438515457, + 0.33997317036727226, + 0.3012000896733294, + 0.26543364005654674, + 0.23291561386853596, + 0.20378373937410646, + 0.1780711055753624, + 0.15570835654724674, + 0.13652857066655502, + 0.12027467192806675, + 0.10660915649464016, + 0.09512585932619906, + 0.08536343463202165, + 0.07682018126536774, + 0.0689698110884002, + 0.06127773559680619, + 0.05321743426463535, + 0.04428646743286018, + 0.03402170712042841, + 0.022013380602949592, + 0.007917553425986738, + -0.008533280118806292, + -0.027521781181580773, + -0.04913975027380647, + -0.07338467316383168, + -0.1001589240015797, + -0.1292716514666348, + -0.16044330357069025, + -0.19331267765890733, + -0.22744631589998798, + -0.26235000481597864, + -0.2974820817517061, + -0.3322682030396296, + -0.3661171892104507, + -0.39843753294583456, + -0.42865413633543575, + -0.45622483589086826, + -0.4806562769122272, + -0.5015187131437752, + -0.5184593328583752, + -0.531213747965719, + -0.5396153275795612, + -0.5436021105991451, + -0.5432210919452186, + -0.5386297426499672, + -0.530094693401039, + -0.5179875826515868, + -0.5027781422431747, + -0.48502466384717924, + -0.4653620566462381, + -0.44448776886102814, + -0.4231459014088105, + -0.40210988974706124, + -0.38216416859021907, + -0.36408526269675945, + -0.3486227645635631, + -0.336480666159436, + -0.32829950658473295, + -0.3246397808504447, + -0.3259670272027662, + -0.332638972228382, + -0.3448950652711292, + -0.3628486776193295, + -0.38648217884110575, + -0.41564503408465053, + -0.45005499379207853, + -0.48930237286687134, + -0.5328573417072635, + -0.5800800785009811, + -0.6302335625641766, + -0.6824987240115187, + -0.7359916072547698, + -0.7897821561706803, + -0.8429141884846196, + -0.8944260969850256, + -0.9433717963626858, + -0.9888414272343552, + -1.0299813334539218, + -1.066012845040098, + -1.0962494265744427, + -1.1201117890875074, + -1.1371406113331275, + -1.1470065727920271, + -1.1495174643768, + -1.1446222120852914, + -1.1324117220847645, + -1.113116531124134, + -1.0871013219322119, + -1.054856437524543, + -1.0169865993054854, + -0.9741970997928411, + -0.9272778001109436, + -0.8770853136588672, + -0.8245237993266283, + -0.7705248192956605, + -0.7160267370657099, + -0.6619541404160715, + -0.6091977713354795, + -0.5585954306309121, + -0.5109142993260258, + -0.4668350827357742, + -0.4269383371660331, + -0.39169328468365283, + -0.36144935969015574, + -0.33643066364266894, + -0.31673343286694167, + -0.30232655076332154, + -0.29305506163290157, + -0.2886465706700187, + -0.2887203451631347, + -0.29279886732070043, + -0.3003215309694013, + -0.31066012407367244, + -0.3231356978139443, + -0.33703639182537504, + -0.35163576487551523, + -0.3662111712152825, + -0.38006172525849996, + -0.3925254110317345, + -0.402994917606507, + -0.410931816825914, + -0.4158787441576273, + -0.4174692963023542, + -0.4154354189148542, + -0.4096121229367835, + -0.399939436948392, + -0.386461573879969, + -0.3693233615971155, + -0.3487640564971181, + -0.3251087255794116, + -0.29875744381980307, + -0.2701726085508597, + -0.23986471956042105, + -0.20837701159641894, + -0.17626935396744856, + -0.14410184926502037, + -0.11241856948422904, + -0.08173186284284166, + -0.052507648535498205, + -0.025152089929554408, + -2.2321318681993174e-16 + ], + [ + 0, + 0.022471215538102336, + 0.04220270939932241, + 0.059169508651114894, + 0.07344466722671224, + 0.08519718855616136, + 0.0946872333494397, + 0.10225873451887726, + 0.10832960925727637, + 0.11337982152830528, + 0.11793760506717724, + 0.12256420598265283, + 0.12783754394285787, + 0.13433522069218035, + 0.14261732351334627, + 0.15320947871980098, + 0.166586606126934, + 0.18315780978628246, + 0.2032528134443159, + 0.22711031185734804, + 0.25486856217208526, + 0.286558484225158, + 0.322099476196221, + 0.3612980841190165, + 0.40384959200540776, + 0.4493425255601377, + 0.4972659885046433, + 0.5470196782408873, + 0.5979263587872315, + 0.649246505341236, + 0.7001947780757134, + 0.7499579342947372, + 0.7977137491029799, + 0.8426504862785168, + 0.8839864438304412, + 0.9209890932348208, + 0.9529933377519966, + 0.9794184334164375, + 0.9997831458463933, + 1.0137187562508112, + 1.0209795799559647, + 1.0214507192320028, + 1.0151528377551788, + 1.002243815101503, + 0.9830172144994861, + 0.9578975738445608, + 0.9274326068152302, + 0.8922824759457839, + 0.8532063708585675, + 0.8110466907838532, + 0.7667111893710974, + 0.7211534901667803, + 0.6753524217526713, + 0.6302906513939401, + 0.5869331143916023, + 0.5462057427024954, + 0.5089749906098907, + 0.47602863742410906, + 0.4480583177851993, + 0.4256441898335294, + 0.4092421012811594, + 0.39917355447279723, + 0.39561870529949145, + 0.3986125589290977, + 0.4080444494922533, + 0.42366081295448405, + 0.4450711843084085, + 0.4717572738332679, + 0.5030849043481788, + 0.5383185238985373, + 0.5766379477982383, + 0.6171569318684954, + 0.6589431363239486, + 0.7010390080769431, + 0.7424830890163655, + 0.7823312495414836, + 0.8196773504738863, + 0.8536728523143781, + 0.8835449182449374, + 0.9086125956029911, + 0.928300708814384, + 0.9421511537581678, + 0.9498313478338303, + 0.9511396600158792, + 0.946007719179896, + 0.9344995751419121, + 0.9168077632930423, + 0.8932463985546638, + 0.8642414957901342, + 0.8303187800399652, + 0.7920893093830798, + 0.7502332844233865, + 0.7054824601216234, + 0.6586016069377971, + 0.610369488281892, + 0.5615598296319507, + 0.512922751201695, + 0.46516712085163464, + 0.41894425745578084, + 0.37483337785820187, + 0.33332913383965224, + 0.2948315303618217, + 0.2596384541709343, + 0.22794097420119977, + 0.19982150383266256, + 0.17525484172815234, + 0.15411203454603128, + 0.13616693314403297, + 0.12110524575234495, + 0.10853582870683351, + 0.0980038992672715, + 0.08900580719822226, + 0.08100496335124717, + 0.07344849540781645, + 0.06578418391271265, + 0.05747722615931197, + 0.048026381503811194, + 0.03697906911658201, + 0.023945017569708578, + 0.008608104279135744, + -0.009263929320590145, + -0.02981214511177696, + -0.053081653905251165, + -0.07901956760782165, + -0.10747571544307165, + -0.1382061094423343, + -0.1708790724784104, + -0.20508387233369446, + -0.24034163945007153, + -0.2761182857750413, + -0.31183908903166235, + -0.34690456215464993, + -0.38070719269412084, + -0.41264861259308766, + -0.4421567455313678, + -0.46870247735319887, + -0.4918154050246606, + -0.5110982408746654, + -0.5262394810480573, + -0.5370239893557219, + -0.5433411990047032, + -0.5451906937624631, + -0.5426849954877155, + -0.5360494550190048, + -0.5256192164040467, + -0.5118332985537567, + -0.49522591175892966, + -0.4764151972738586, + -0.4560896445691236, + -0.4349925012102402, + -0.4139045431013073, + -0.3936256167002591, + -0.37495539864062327, + -0.3586738411070142, + -0.3455217827005133, + -0.3361822040731819, + -0.33126259527912444, + -0.3312788778483567, + -0.33664128959308726, + -0.3476425949329969, + -0.3644489291607202, + -0.38709352287347787, + -0.4154734842805159, + -0.44934974392675525, + -0.488350190337024, + -0.5319759480429103, + -0.5796106732943654, + -0.6305326693508928, + -0.6839295543985642, + -0.7389151525455131, + -0.7945482235555793, + -0.8498526013432822, + -0.9038382759061027, + -0.9555229291939943, + -1.0039534230192892, + -1.0482267368133584, + -1.0875098648628139, + -1.1210582063345609, + -1.1482320163614166, + -1.1685105318673168, + -1.1815034405661287, + -1.1869594243440147, + -1.1847715775087455, + -1.1749795744773577, + -1.1577685385753316, + -1.1334646418613392, + -1.1025275433694193, + -1.065539847992114, + -1.023193838596148, + -0.9762757981590998, + -0.9256482951861646, + -0.8722308530452485, + -0.8169794610053067, + -0.7608654107875092, + -0.7048539567253207, + -0.6498832998505242, + -0.5968443863461681, + -0.5465619890996485, + -0.49977750810523774, + -0.4571338820365081, + -0.41916295052195357, + -0.38627554582617635, + -0.35875452527464774, + -0.33675088353018884, + -0.32028300851863534, + -0.3092390682667663, + -0.3033824400408995, + -0.30236001982281996, + -0.3057131811280445, + -0.3128910891463149, + -0.32326602069999205, + -0.3361502939172239, + -0.3508143749249232, + -0.3665057031529065, + -0.3824677626046483, + -0.3979589240056059, + -0.41227059210705747, + -0.4247442133287178, + -0.43478673080756836, + -0.4418841159519233, + -0.44561265669683375, + -0.4456477415136392, + -0.44176994334674974, + -0.4338682773849837, + -0.4219405791618392, + -0.40609102308993783, + -0.38652487431843036, + -0.363540636931588, + -0.3375198272248675, + -0.30891466045799887, + -0.2782339916037909, + -0.24602789388899848, + -0.21287129228592322, + -0.1793470917371006, + -0.14602925122804708, + -0.11346625459663984, + -0.08216541720512233, + -0.05257844461526195, + -0.0250886257941545, + -2.2181305355445957e-16 + ], + [ + 0, + 0.022172419861951464, + 0.04151067938049591, + 0.05804079162195865, + 0.07188886153559929, + 0.08327738287772911, + 0.09251880156602538, + 0.10000651166700929, + 0.10620351766505087, + 0.11162905819645165, + 0.11684354048957563, + 0.12243217995141002, + 0.12898777452407933, + 0.13709306769462395, + 0.14730316674473426, + 0.16012848363116053, + 0.1760186547481824, + 0.19534787299707895, + 0.21840203162440402, + 0.2453680350221016, + 0.27632557819933035, + 0.3112416352626698, + 0.3499678295028452, + 0.39224078526937556, + 0.43768548652720385, + 0.4858215907145997, + 0.5360725711710868, + 0.5877774888705724, + 0.6402051263045253, + 0.6925701548274782, + 0.7440509531618377, + 0.7938086504267827, + 0.8410069331443881, + 0.8848321330658052, + 0.9245131019528693, + 0.959340380953034, + 0.988684185922485, + 1.0120107556850215, + 1.0288966471678993, + 1.0390406087535584, + 1.042272719890619, + 1.0385605496486194, + 1.0280121579093697, + 1.0108758385336067, + 0.9875365822769436, + 0.9585093165335253, + 0.9244290572138341, + 0.8860381832922828, + 0.8441711149384595, + 0.7997367399375008, + 0.753698988733452, + 0.7070560045165487, + 0.6608183901753584, + 0.6159870377629519, + 0.5735310577810462, + 0.5343663247635917, + 0.4993351423437537, + 0.469187505523491, + 0.44456440083951476, + 0.4259835374234115, + 0.4138278447393174, + 0.4083370074354877, + 0.4096022358519212, + 0.41756439403103524, + 0.4320155274462345, + 0.45260375202994496, + 0.4788413864085955, + 0.5101161324734498, + 0.5457050373980423, + 0.5847909047027889, + 0.6264807645523917, + 0.669825965539994, + 0.7138434129183349, + 0.7575374524755755, + 0.7999218856317591, + 0.8400416001625266, + 0.8769933122456945, + 0.9099449389738894, + 0.9381531554851753, + 0.96097873655305, + 0.977899337706057, + 0.9885194343418031, + 0.9925772072882116, + 0.9899482381150325, + 0.9806459553630137, + 0.9648188518183121, + 0.9427445710739507, + 0.9148210369716175, + 0.8815548702611391, + 0.8435474012246302, + 0.8014786435207918, + 0.756089641744214, + 0.7081636420291774, + 0.6585065605819119, + 0.6079272387054883, + 0.5572179743893083, + 0.507135809874838, + 0.45838503208744363, + 0.4116013090415204, + 0.3673378411617572, + 0.3260538530532073, + 0.2881056899601036, + 0.25374071553517213, + 0.2230941353089492, + 0.19618879522522992, + 0.17293792868348098, + 0.15315075060955577, + 0.1365407250414837, + 0.12273626537088873, + 0.11129356540544694, + 0.10171120633409877, + 0.09344614080437254, + 0.08593062174704465, + 0.07858962113421976, + 0.0708582730789911, + 0.06219887683040818, + 0.052117008238766534, + 0.04017631281674641, + 0.026011588965447315, + 0.00933981536089272, + -0.010031169254642171, + -0.03219656394343577, + -0.0571512436129066, + -0.08478922802041894, + -0.11490599849087563, + -0.14720360459713666, + -0.181298429993718, + -0.21673141682947056, + -0.2529804834685459, + -0.2894748122675662, + -0.325610634369189, + -0.3607680981513321, + -0.39432877815322703, + -0.42569336275670555, + -0.4542990521231817, + -0.4796362030679129, + -0.5012637745867566, + -0.5188231562323108, + -0.5320500007731226, + -0.5407837315974401, + -0.5449744529302216, + -0.544687055689832, + -0.5401023821080951, + -0.5315153863213704, + -0.519330304159835, + -0.504052921413932, + -0.48628010403269334, + -0.4666868241432202, + -0.44601098069780626, + -0.4250363713130991, + -0.40457422099685025, + -0.38544371270672695, + -0.3684519930399665, + -0.3543741430688753, + -0.34393360895946945, + -0.33778357938264353, + -0.33648977699656873, + -0.3405150998937646, + -0.3502065066044358, + -0.3657844860394329, + -0.3873353928991656, + -0.4148068610432021, + -0.44800643376383803, + -0.48660347263009196, + -0.5301343274562784, + -0.5780106709405386, + -0.6295308245534761, + -0.6838938292282944, + -0.7402159471113765, + -0.7975492207369951, + -0.8549016649740088, + -0.9112586262217298, + -0.9656048136249998, + -1.0169464892806033, + -1.0643332989722878, + -1.106879232051602, + -1.1437822185205975, + -1.1743419027118922, + -1.1979751754508974, + -1.2142290991999312, + -1.2227909221515996, + -1.2234949460690003, + -1.2163260871920398, + -1.2014200479317645, + -1.1790600974523444, + -1.1496705396390556, + -1.1138070254160064, + -1.072143941002892, + -1.0254591726740243, + -0.974616610232574, + -0.9205468042463718, + -0.8642262348331818, + -0.8066556814062321, + -0.7488382025411974, + -0.6917572425415482, + -0.6363553762013047, + -0.5835141858399937, + -0.5340357353639175, + -0.4886260656321943, + -0.44788108478925415, + -0.4122751677291829, + -0.38215271195883477, + -0.35772282448314086, + -0.3390572377425922, + -0.32609147397849386, + -0.31862919862243894, + -0.3163496263377264, + -0.3188177700686916, + -0.3254972556705667, + -0.3357653640494414, + -0.3489299107110423, + -0.36424753045405306, + -0.3809429036571647, + -0.39822844093593457, + -0.4153239353333438, + -0.43147569580403033, + -0.44597469240039517, + -0.4581732718142093, + -0.4675000410276327, + -0.4734725657719198, + -0.47570758802721563, + -0.47392853145766817, + -0.4679701338235092, + -0.45778011927281137, + -0.4434178991285707, + -0.42505036544714714, + -0.4029449153324971, + -0.37745991390011324, + -0.34903286814650003, + -0.3181666411879685, + -0.2854140849617771, + -0.2513615083261661, + -0.21661142559381621, + -0.1817650471970064, + -0.14740497901183297, + -0.11407858976078737, + -0.08228248706539971, + -0.052448512626608684, + -0.024931626445537272, + -2.196197973710879e-16 + ], + [ + 0, + 0.021805994561302524, + 0.04070777047140183, + 0.05678500757307933, + 0.07021860028848213, + 0.08128526998033299, + 0.09034945304280856, + 0.09785267604545049, + 0.10430069536040573, + 0.11024873777393193, + 0.116285229111372, + 0.1230144385988072, + 0.13103849649907656, + 0.14093926072256954, + 0.1532605141444205, + 0.16849096808448621, + 0.18704852895917726, + 0.2092662549355123, + 0.23538038824387766, + 0.265520797650492, + 0.29970410571941747, + 0.3378297083939664, + 0.37967882176939066, + 0.42491661452616103, + 0.4730974062566047, + 0.5236728338076557, + 0.5760028117402624, + 0.6293690409849086, + 0.6829907535701039, + 0.7360423225927764, + 0.7876723168790403, + 0.8370235403230128, + 0.8832535677095613, + 0.9255552726650709, + 0.9631768396820557, + 0.9954407610635735, + 1.0217613409540238, + 1.041660261877566, + 1.0547798136103974, + 1.0608934387068272, + 1.0599133122675684, + 1.0518947440480473, + 1.0370372670386239, + 1.0156823563511417, + 0.9883078036665286, + 0.9555188536394553, + 0.9180362875244873, + 0.8766817139424025, + 0.8323603953042784, + 0.7860419992595802, + 0.7387397161255299, + 0.6914882243068402, + 0.645321015202662, + 0.601247606279395, + 0.560231175423047, + 0.5231671412445298, + 0.4908631928829349, + 0.4640212395337982, + 0.44322170521942383, + 0.4289105392937927, + 0.421389249166253, + 0.4208081902874213, + 0.42716327130155607, + 0.4402961513060482, + 0.459897923338469, + 0.4855161955481991, + 0.5165654010123638, + 0.5523400907805798, + 0.592030894334248, + 0.6347427689311513, + 0.6795151057931584, + 0.7253432180759298, + 0.7712007040685459, + 0.816062159858729, + 0.8589257092148825, + 0.8988348248162404, + 0.9348989340282248, + 0.966312333681876, + 0.9923709809857792, + 1.0124867807091495, + 1.026199050806332, + 1.0331829181671914, + 1.0332544714545602, + 1.0263725771705041, + 1.0126373462263059, + 0.9922853193812251, + 0.9656815189716885, + 0.9333085894393042, + 0.895753318448571, + 0.853690892176291, + 0.8078672911560163, + 0.7590802755995358, + 0.708159440377248, + 0.6559458390856753, + 0.6032716834279082, + 0.5509406183558387, + 0.49970905525805775, + 0.45026901541809383, + 0.4032328948023808, + 0.359120510028475, + 0.3183487254218813, + 0.2812238939189938, + 0.24793727191536835, + 0.21856349182765006, + 0.19306209805662827, + 0.17128207417075128, + 0.1529692134272073, + 0.13777611310685983, + 0.1252745073502076, + 0.11496959488463204, + 0.10631596867859715, + 0.09873471536957286, + 0.09163122425584405, + 0.08441322940372363, + 0.07650860438894166, + 0.0673824374448502, + 0.056552935102302436, + 0.04360573424522793, + 0.02820624505112019, + 0.010109699447024856, + -0.010831359842093255, + -0.03466234738374261, + -0.061324785769157716, + -0.09065738905643649, + -0.1224000522790218, + -0.15620064431687614, + -0.19162442796451998, + -0.22816586202654746, + -0.2652624774822876, + -0.3023104647861478, + -0.3386815636123734, + -0.3737408109846343, + -0.4068646796637133, + -0.43745912652859975, + -0.4649770708058221, + -0.4889348343993848, + -0.508927100960677, + -0.5246399861240267, + -0.5358618576415436, + -0.5424915998371994, + -0.5445440804841335, + -0.5421526483070918, + -0.5355685640761928, + -0.5251573458210692, + -0.5113920871141352, + -0.49484388468139073, + -0.4761695858552487, + -0.4560971357153781, + -0.4354088664179856, + -0.41492312560206046, + -0.3954746854958597, + -0.3778944082790189, + -0.3629886655021116, + -0.35151901933211266, + -0.34418267078886183, + -0.341594164985839, + -0.34426881602144027, + -0.3526082752215831, + -0.3668886168362351, + -0.38725125623287787, + -0.41369694853723943, + -0.44608304217587824, + -0.48412408366818344, + -0.5273957892064333, + -0.5753423170314828, + -0.6272866943600455, + -0.682444175621099, + -0.739938236910558, + -0.7988188466489741, + -0.8580825960323399, + -0.9166942264001994, + -0.973609055264928, + -1.0277957793373074, + -1.0782591220398126, + -1.1240617950055767, + -1.164345257888875, + -1.1983487881178305, + -1.225426411352172, + -1.2450612934277037, + -1.2568772542669147, + -1.2606471321663968, + -1.256297801388608, + -1.243911725278546, + -1.2237250092681544, + -1.1961220011260625, + -1.1616265676399937, + -1.1208902555950493, + -1.0746776185221005, + -1.0238490574503247, + -0.9693415821886556, + -0.9121479480733673, + -0.8532946604862935, + -0.7938193648755324, + -0.7347481528960322, + -0.6770733153372812, + -0.6217320597408073, + -0.5695866853665599, + -0.5214066710853663, + -0.4778530837853145, + -0.4394656571798456, + -0.4066528249282042, + -0.37968491935900117, + -0.3586906696201394, + -0.34365705267400404, + -0.33443246919517605, + -0.33073313610830907, + -0.33215251019571496, + -0.3381734847987639, + -0.3481830359006989, + -0.36148893640852636, + -0.3773381096382059, + -0.3949361559984667, + -0.413467561542292, + -0.4321160839981704, + -0.45008481138701156, + -0.4666154003445911, + -0.4810060254621966, + -0.4926276066868748, + -0.5009379281590103, + -0.5054933176186761, + -0.505957619261559, + -0.5021082630520166, + -0.4938393082316383, + -0.48116141621166364, + -0.46419878625821515, + -0.4431831644063273, + -0.41844510994187706, + -0.39040277272109924, + -0.35954849683455536, + -0.32643362011624494, + -0.2916518834078968, + -0.25582189721509807, + -0.21956913560709182, + -0.1835079373772695, + -0.14822399236163303, + -0.11425777648187228, + -0.08208937291911714, + -0.05212507951232379, + -0.02468615497001428, + -2.1669325852068894e-16 + ], + [ + 0, + 0.02138066408543496, + 0.03981342273432394, + 0.05543378542225215, + 0.06847859833678917, + 0.07927893062037007, + 0.08825027488655536, + 0.09588031886281612, + 0.1027146090068086, + 0.10934048278288937, + 0.11636969254624639, + 0.12442017947869291, + 0.1340974798382655, + 0.14597625730288658, + 0.16058245409410615, + 0.17837653986497548, + 0.19973831134825346, + 0.22495365811863458, + 0.25420366145059614, + 0.2875563353479073, + 0.32496125281928756, + 0.36624722802028764, + 0.4111231477821858, + 0.45918196623234386, + 0.5099077956767046, + 0.5626859476855616, + 0.6168157023915368, + 0.6715255132888053, + 0.7259902911037988, + 0.779350355207866, + 0.8307315959680844, + 0.8792663575433417, + 0.9241145288124826, + 0.9644843209550285, + 0.999652213964314, + 1.0289815710090193, + 1.0519394487029425, + 1.0681111723143135, + 1.0772122967698399, + 1.0790976357387578, + 1.0737671106315574, + 1.0613682473256947, + 1.0421952289829384, + 1.0166844964795099, + 0.9854069716920791, + 0.9490570611132655, + 0.9084386759856341, + 0.8644485784023583, + 0.8180574288157088, + 0.7702889674871656, + 0.7221978091873185, + 0.6748463657435859, + 0.6292814339532805, + 0.5865109963456364, + 0.547481779023217, + 0.5130580943989449, + 0.48400246745090575, + 0.46095850283808343, + 0.4444363978477806, + 0.43480144394403436, + 0.43226578916151415, + 0.43688365645158517, + 0.4485501312093601, + 0.4670035465821184, + 0.49183140983753465, + 0.5224797291288706, + 0.5582655194737763, + 0.5983921916196829, + 0.6419674595256549, + 0.6880233430948118, + 0.7355377939722161, + 0.7834574348571404, + 0.8307208777611861, + 0.876282074566828, + 0.9191331543790584, + 0.9583262164660596, + 0.9929935746809299, + 1.0223659884595298, + 1.0457884658179066, + 1.0627332839729522, + 1.0728099417881671, + 1.0757718335054072, + 1.07151951330473, + 1.0601005031642508, + 1.0417056802299551, + 1.0166623623957112, + 0.9854242900148363, + 0.9485587756800307, + 0.9067313610141114, + 0.8606883777826394, + 0.811237858960847, + 0.7592292825024938, + 0.7055326555883111, + 0.6510174594987923, + 0.596531974697244, + 0.5428834922826821, + 0.4908198920554756, + 0.44101302971840906, + 0.3940443271903281, + 0.3503929018841448, + 0.31042650457675464, + 0.2743954628546811, + 0.24242974989192714, + 0.21453921845172277, + 0.19061695950952015, + 0.17044566579048964, + 0.15370680478163498, + 0.13999233530933602, + 0.12881863832518986, + 0.11964227769498213, + 0.11187716189793277, + 0.10491264372439943, + 0.0981320731390396, + 0.0909313089821686, + 0.08273669833100539, + 0.07302204803295463, + 0.06132414073814788, + 0.0472563869766265, + 0.03052025443904962, + 0.010914174359922363, + -0.011660308728641763, + -0.03719530529573777, + -0.0655763521755775, + -0.0965851934375643, + -0.12990549846652363, + -0.16513136805367587, + -0.20177840618255033, + -0.2392970677231246, + -0.27708793213890703, + -0.31451850209761034, + -0.350941084865677, + -0.3857112846131308, + -0.41820661602857, + -0.44784474441296657, + -0.4741008648396111, + -0.4965237528724397, + -0.5147500512479868, + -0.5285164000668487, + -0.5376690713448864, + -0.5421708309215302, + -0.5421048201674277, + -0.5376753249452644, + -0.5292053779822079, + -0.517131221240198, + -0.5019937350042435, + -0.48442701823541473, + -0.46514437829400473, + -0.4449220555719112, + -0.4245810681726593, + -0.40496761202593884, + -0.3869324914337582, + -0.37131008299252083, + -0.35889735138272616, + -0.35043343823574363, + -0.3465803350634262, + -0.3479051282807584, + -0.3548642691904232, + -0.3677902752613479, + -0.38688121223499045, + -0.4121932409041626, + -0.44363643942344155, + -0.4809740335054211, + -0.5238250847512264, + -0.5716706036677155, + -0.6238629706916161, + -0.6796384678192918, + -0.7381326472184465, + -0.7983981933559725, + -0.8594248734421753, + -0.9201611188961162, + -0.9795367393762447, + -1.0364862417239586, + -1.0899722096719555, + -1.139008196800219, + -1.1826805950840271, + -1.2201689642505513, + -1.250764342503372, + -1.273885106141995, + -1.2890900030646781, + -1.2960880517083588, + -1.2947450710361472, + -1.2850866869336173, + -1.2672977438827449, + -1.2417181360173235, + -1.2088351565540407, + -1.169272547075596, + -1.1237765062120564, + -1.0731989890283418, + -1.0184786921387068, + -0.9606201736905332, + -0.9006716005829183, + -0.8397016465709417, + -0.7787760835084716, + -0.7189346134663084, + -0.661168481715554, + -0.6063993898003952, + -0.5554601946706214, + -0.5090778349384169, + -0.4678588698875861, + -0.4322779522741162, + -0.4026694838155043, + -0.3792226243558079, + -0.3619797439362056, + -0.3508383234100783, + -0.34555622587173135, + -0.3457601800640094, + -0.3509572400772271, + -0.3605489149261441, + -0.3738475987141853, + -0.39009487858810615, + -0.40848125484038683, + -0.4281667763528324, + -0.4483020758238206, + -0.46804928330493273, + -0.4866023035929214, + -0.5032059627616013, + -0.517173561041474, + -0.5279024125276834, + -0.5348870057038134, + -0.537729481142484, + -0.5361471923987159, + -0.5299771912851965, + -0.5191775575132239, + -0.5038255731157253, + -0.48411282211937556, + -0.46033737359488824, + -0.4328932795451439, + -0.40225768625910924, + -0.3689759170921536, + -0.3336449346564393, + -0.2968956298801439, + -0.2593744133497421, + -0.2217246001042457, + -0.1845680822302207, + -0.14848777415420755, + -0.1140112937050369, + -0.08159630839335429, + -0.05161793179694953, + -0.02435850059004337, + -2.1310400095194143e-16 + ], + [ + 0, + 0.02090612457373407, + 0.03884876278114237, + 0.05402085484805808, + 0.06671575136217166, + 0.07731835023092874, + 0.08629361660585508, + 0.09417278804876533, + 0.10153762831024492, + 0.10900314493584963, + 0.11719922718586187, + 0.12675169039089282, + 0.13826323010100067, + 0.15229479376476235, + 0.1693478690645131, + 0.1898481666291156, + 0.21413114116261678, + 0.24242974989192667, + 0.27486479176422035, + 0.31143810639156383, + 0.3520288399500313, + 0.3963929078844547, + 0.444165703281911, + 0.49486801718581197, + 0.5479150550007432, + 0.6026283535512752, + 0.6582503283117793, + 0.7139611117156371, + 0.7688972830210145, + 0.8221720394962564, + 0.8728963189914228, + 0.920200356312397, + 0.9632551409412566, + 1.0012932419658567, + 1.0336284776800206, + 1.0596739319508919, + 1.0789578565548221, + 1.0911370473799187, + 1.0960073415147733, + 1.093510950360746, + 1.0837404193652846, + 1.0669390859367174, + 1.0434979915872913, + 1.0139492902903806, + 0.9789562803190225, + 0.9393002693577392, + 0.8958645604132814, + 0.8496159170722859, + 0.8015839292064824, + 0.752838752756202, + 0.7044677384217078, + 0.6575514929272143, + 0.6131399322644879, + 0.5722288885624671, + 0.535737820888198, + 0.504489155617454, + 0.47918974460285946, + 0.4604148801081824, + 0.44859524555606317, + 0.4440071120011158, + 0.4467660135661273, + 0.45682405272638427, + 0.47397090029619626, + 0.49783846735322274, + 0.5279091392601812, + 0.5635273775266403, + 0.603914415547314, + 0.64818570119334, + 0.6953706745918181, + 0.7444344147720444, + 0.7943006455046429, + 0.8438755596548683, + 0.8920719034531029, + 0.9378327576723368, + 0.9801544618811227, + 1.0181081504648952, + 1.0508594044055728, + 1.077685569993303, + 1.0979903535391577, + 1.1113153683262236, + 1.1173483848163004, + 1.1159281156733105, + 1.1070454514871728, + 1.090841149108482, + 1.067600060122023, + 1.037742070097253, + 1.001809997823615, + 0.960454775851338, + 0.9144182975607495, + 0.8645143701282836, + 0.8116082558426567, + 0.7565953152239302, + 0.700379283586309, + 0.6438507176564467, + 0.5878661405347326, + 0.5332283919196746, + 0.48066865667985814, + 0.43083059943747154, + 0.3842569769911012, + 0.3413790355788701, + 0.3025089278122247, + 0.2678353064209162, + 0.23742217070004315, + 0.21121095878391052, + 0.18902579666597835, + 0.17058173529836612, + 0.15549573212746387, + 0.14330006492451164, + 0.1334578054562004, + 0.12537992990702415, + 0.11844360326385875, + 0.11201114707936893, + 0.1054491848194939, + 0.09814745672968725, + 0.08953680685751653, + 0.07910586825229474, + 0.06641600781380388, + 0.051114138867023415, + 0.0329430661034747, + 0.011749092607852334, + -0.012513309376895177, + -0.039779885331692674, + -0.06987808434422922, + -0.10253160427566921, + -0.13736787644387932, + -0.17392829305843438, + -0.21168090865423525, + -0.25003528162154975, + -0.28835906527939886, + -0.32599591123180116, + -0.36228421217837764, + -0.3965761878381743, + -0.42825680680165557, + -0.45676203924555764, + -0.48159595049753295, + -0.5023461730658944, + -0.5186973342808575, + -0.5304420671541075, + -0.5374892922036136, + -0.5398695263156625, + -0.5377370495233529, + -0.531368840001879, + -0.5211602696282979, + -0.5076176350700138, + -0.4913476804763618, + -0.47304434540955675, + -0.4534730437072301, + -0.4334528436949478, + -0.4138369759183043, + -0.39549213991607873, + -0.37927711534000796, + -0.36602120406036154, + -0.35650303820504065, + -0.35143028411162447, + -0.35142075400444267, + -0.35698540624836494, + -0.36851367200210694, + -0.38626149202213445, + -0.4103423835553973, + -0.4407217852510989, + -0.4772148495707431, + -0.519487769197061, + -0.5670626384674748, + -0.6193257649836487, + -0.6755392623864234, + -0.734855674908248, + -0.7963353097066241, + -0.8589658859869195, + -0.921684052202344, + -0.9833982756077227, + -1.0430125733164242, + -1.09945053164998, + -1.1516790515488777, + -1.198731262375378, + -1.239728064496065, + -1.2738977921638346, + -1.3005935316848913, + -1.319307684612454, + -1.329683430433743, + -1.3315228163439883, + -1.3247912814574505, + -1.3096185072545714, + -1.2862955731544712, + -1.2552684837163444, + -1.217128219981846, + -1.1725975497829244, + -1.1225149084558859, + -1.0678157304630511, + -1.0095116722540096, + -0.9486682158517077, + -0.8863811799395966, + -0.8237526897606354, + -0.761867168336828, + -0.7017679091256882, + -0.6444347743273108, + -0.5907635340538492, + -0.5415473202036762, + -0.49746061617927206, + -0.45904614086186984, + -0.4267049140616552, + -0.40068971276026255, + -0.3811020447743855, + -0.36789268103216105, + -0.36086570156774667, + -0.359685925716528, + -0.3638895159058416, + -0.3728974688647434, + -0.38603163986185585, + -0.4025328863779915, + -0.42158086885911084, + -0.4423150090432606, + -0.46385608169073467, + -0.4853279039370948, + -0.5058785881765948, + -0.5247008392815876, + -0.5410508046568866, + -0.5542650253852073, + -0.5637750875114278, + -0.5691196330380037, + -0.5699534589207447, + -0.5660535075223656, + -0.5573216317023952, + -0.5437840999890048, + -0.5255878900239287, + -0.5029938996217559, + -0.4763672823087565, + -0.4461651861683591, + -0.412922239427344, + -0.37723418186307006, + -0.3397400864193607, + -0.3011036492699798, + -0.2619940481362419, + -0.22306687743096285, + -0.18494566456848094, + -0.1482044546807207, + -0.1133519214663017, + -0.08081742073913382, + -0.05093935149301236, + -0.023956128283113613, + -2.0893268024778127e-16 + ], + [ + 0, + 0.02039294675687974, + 0.03783638260468888, + 0.05258167991574526, + 0.0649786098155444, + 0.07546472596708281, + 0.08455223073303332, + 0.09281267077342581, + 0.10085986654481195, + 0.1093315272651091, + 0.1188700384911216, + 0.1301029326070934, + 0.14362356263889794, + 0.15997249661363944, + 0.17962013323735415, + 0.20295101035656235, + 0.23025023621904275, + 0.2616924209781289, + 0.29733342349683817, + 0.3371051578556642, + 0.38081362681342923, + 0.42814026774292496, + 0.47864661230913097, + 0.531782176491695, + 0.5868954146036304, + 0.643247491814707, + 0.7000285563496818, + 0.7563761268563286, + 0.8113951540966959, + 0.8641792705482808, + 0.9138327078852896, + 0.9594923415240943, + 1.0003493140237967, + 1.035669695362907, + 1.0648136578584062, + 1.0872526763096944, + 1.1025843090671257, + 1.110544172065986, + 1.111014784074039, + 1.1040310358687409, + 1.0897821169754378, + 1.0686098189832782, + 1.0410032222195411, + 1.0075898605506879, + 0.9691235451250076, + 0.9264691098561362, + 0.8805844173440339, + 0.8325000318615767, + 0.783297024314946, + 0.734083421263492, + 0.6859698449793894, + 0.6400449132592311, + 0.5973509757108061, + 0.5588607573071381, + 0.5254554602468217, + 0.4979048420445537, + 0.4768497420864228, + 0.4627874717181388, + 0.4560604156700657, + 0.4568481168884813, + 0.4651630344739985, + 0.4808500774251287, + 0.5035899273613033, + 0.5329060735313416, + 0.5681753953851565, + 0.6086420439382245, + 0.6534342951322091, + 0.7015839782855695, + 0.7520480222349016, + 0.8037316123551453, + 0.8555124145063701, + 0.9062652979771959, + 0.9548869792475145, + 1.000320012106745, + 1.0415755672268097, + 1.077754475250429, + 1.1080660510364935, + 1.1318442718177084, + 1.1485609473028706, + 1.1578355935807043, + 1.159441803230677, + 1.153309989332884, + 1.1395264689951288, + 1.118328940420842, + 1.0900984942587122, + 1.0553483828819992, + 1.0147098483185, + 0.9689153789152369, + 0.9187798247933101, + 0.8651798512816975, + 0.8090322466385997, + 0.7512716245993327, + 0.6928280730756465, + 0.634605297451748, + 0.5774597904951158, + 0.5221815313792534, + 0.4694766744780983, + 0.4199526355195504, + 0.3741059197366369, + 0.33231296542998345, + 0.29482419865769166, + 0.2617614125587109, + 0.23311850016201965, + 0.20876548456147018, + 0.18845570717357424, + 0.17183595552206837, + 0.1584592385864227, + 0.14779985203888168, + 0.13927031930743244, + 0.13223974873510108, + 0.12605311328303753, + 0.12005093807092651, + 0.11358887306923154, + 0.10605663362800032, + 0.09689581008525691, + 0.0856160789519265, + 0.0718093913087276, + 0.055161767964228975, + 0.03546239423294341, + 0.012609778282987896, + -0.013385185935319401, + -0.042399329094772426, + -0.0742004851192846, + -0.10845385005323119, + -0.1447312525806603, + -0.18252309129996003, + -0.2212526238025817, + -0.2602922305753502, + -0.2989812243250534, + -0.33664473385030735, + -0.3726131621232869, + -0.406241701554923, + -0.43692938594291186, + -0.4641371684512907, + -0.4874045379170496, + -0.5063642212672679, + -0.5207545669871869, + -0.5304292622386623, + -0.5353641029569927, + -0.5356606103895075, + -0.5315463672301992, + -0.5233720297569361, + -0.5116050571044328, + -0.4968202828791761, + -0.47968753562604927, + -0.4609565911397584, + -0.4414398093426725, + -0.42199286965475274, + -0.4034940698998843, + -0.3868226935139441, + -0.3728369771120719, + -0.3623522246123238, + -0.35611961470240544, + -0.35480623541413303, + -0.35897685321358275, + -0.3690778849325207, + -0.3854239899849541, + -0.40818763885270154, + -0.43739194327190956, + -0.47290695562317364, + -0.5144495616224928, + -0.5615870035692608, + -0.6137439832608436, + -0.6702132063974862, + -0.7301691460257795, + -0.792684723383329, + -0.8567505323694498, + -0.9212961705641977, + -0.9852131868245699, + -1.047379114321572, + -1.1066820294787354, + -1.1620450623526748, + -1.2124502829502903, + -1.2569614008562426, + -1.2947447420570384, + -1.3250880063691777, + -1.3474163604624807, + -1.3613054838743224, + -1.366491257127755, + -1.3628758603592424, + -1.35053013580612, + -1.3296921560369896, + -1.300762029778468, + -1.26429306641195, + -1.220979506515258, + -1.171641107108854, + -1.117204944560248, + -1.0586848636006083, + -0.9971590560276407, + -0.9337462960763715, + -0.869581390090615, + -0.8057904152908147, + -0.7434663257087911, + -0.6836454926867961, + -0.6272857229991752, + -0.5752462602669255, + -0.5282702258343361, + -0.4869698948944874, + -0.45181513388396627, + -0.4231252477417902, + -0.40106440245388786, + -0.38564070143104123, + -0.3767089058310888, + -0.37397670110581765, + -0.3770143269808334, + -0.3852673078421501, + -0.39807194706214766, + -0.41467318393422165, + -0.43424435716882975, + -0.45590837564856784, + -0.47875976637527634, + -0.5018870519856244, + -0.5243949062523477, + -0.545425545677887, + -0.5641788383388454, + -0.5799306469359276, + -0.5920489706122889, + -0.6000075082999271, + -0.6033963336546638, + -0.6019294463379982, + -0.5954490446112038, + -0.5839264479024142, + -0.567459683087988, + -0.5462678325612987, + -0.5206823236350994, + -0.49113541540277306, + -0.45814620896075375, + -0.42230456813448297, + -0.38425338903565126, + -0.3446696966459892, + -0.3042450741949885, + -0.26366594570822977, + -0.22359423340838358, + -0.1846488996457118, + -0.14738885804702168, + -0.11229770125535891, + -0.07977064395034841, + -0.05010402103942172, + -0.023487613495028595, + -2.0426928051054333e-16 + ], + [ + 0, + 0.01985246688010141, + 0.03680009742378555, + 0.05115306622391169, + 0.0633168248252045, + 0.07377974840110432, + 0.08309839515670903, + 0.09188076911518828, + 0.1007680298865027, + 0.11041513463773125, + 0.12147092671657464, + 0.13455820146778252, + 0.15025428230092508, + 0.1690726289329714, + 0.19144597520005247, + 0.21771145650645543, + 0.24809813777488104, + 0.2827172928998012, + 0.32155571767455254, + 0.36447228168444823, + 0.41119784264438003, + 0.46133856116400257, + 0.5143825670916238, + 0.5697098426018194, + 0.6266051042170889, + 0.6842733880850564, + 0.7418579720408142, + 0.7984602060672634, + 0.8531607713050608, + 0.905041848080814, + 0.953209646549223, + 0.9968167401967469, + 1.0350836430103532, + 1.0673190856091954, + 1.0929384737569108, + 1.111480053765758, + 1.1226183623951267, + 1.1261746026603017, + 1.1221236599581472, + 1.1105975533090415, + 1.0918852023462549, + 1.0664284798534232, + 1.0348146099692186, + 0.9977650614242947, + 0.9561211711494613, + 0.910826814172796, + 0.862908508912832, + 0.813453410959462, + 0.7635857016215887, + 0.7144419185817578, + 0.6671458039001192, + 0.622783258642191, + 0.582377993195871, + 0.5468684478711805, + 0.5170865299696203, + 0.49373867183940356, + 0.477389660494825, + 0.4684496244711482, + 0.4671644892788014, + 0.47361013091234516, + 0.48769036934758947, + 0.5091388529499902, + 0.5375247924308137, + 0.5722624116681047, + 0.6126238945774518, + 0.6577555244152409, + 0.7066966364360581, + 0.7584009385378382, + 0.8117596990194815, + 0.8656262571880153, + 0.9188412823302287, + 0.9702581902284477, + 1.0187681243324247, + 1.0633239209300898, + 1.1029625038697104, + 1.1368251939130485, + 1.1641754696561262, + 1.1844137798525165, + 1.1970890793561875, + 1.2019068409786693, + 1.1987333813543957, + 1.1875964283169098, + 1.1686819481104946, + 1.1423273407692112, + 1.1090111989849434, + 1.069339907633163, + 1.0240314358358127, + 0.9738967392012454, + 0.9198192451021571, + 0.8627329372083911, + 0.8035995859525135, + 0.7433856884635949, + 0.683039684388043, + 0.6234700029018664, + 0.5655244714293125, + 0.509971578779925, + 0.4574840355821676, + 0.40862501430620873, + 0.363837381374564, + 0.32343615662599773, + 0.28760435267555706, + 0.2563922605842404, + 0.22972016087862038, + 0.20738435253297763, + 0.18906630920526105, + 0.1743446938827294, + 0.16270989208873904, + 0.15358066169219287, + 0.1463224456830911, + 0.1402668543048193, + 0.13473179564421886, + 0.12904171983237325, + 0.12254744172492815, + 0.11464502028965218, + 0.10479319956716772, + 0.09252895529134811, + 0.07748074204626634, + 0.059379096894133315, + 0.03806432517362526, + 0.013491070862490186, + -0.014270344428853637, + -0.045035845190424965, + -0.07851273449984417, + -0.11430789737214768, + -0.1519388567042968, + -0.19084738875340534, + -0.23041533777904144, + -0.2699822113684146, + -0.3088640905304674, + -0.3463733531040676, + -0.38183868629119777, + -0.4146248547906693, + -0.4441516953271348, + -0.46991182625609423, + -0.49148659194859445, + -0.5085598050589735, + -0.5209289044823071, + -0.528513211456696, + -0.5313590392486374, + -0.5296414913549713, + -0.5236628671733544, + -0.5138476805287892, + -0.5007343831260141, + -0.48496396974568173, + -0.46726572267950395, + -0.4484404274668565, + -0.42934145856200445, + -0.4108541904327266, + -0.3938742353112723, + -0.3792850422065277, + -0.3679354119657714, + -0.3606174895967305, + -0.35804578751832355, + -0.36083777204115847, + -0.3694965106702596, + -0.38439583058903193, + -0.40576838005435983, + -0.43369691582254194, + -0.46810906279964537, + -0.5087757087427326, + -0.5553131090687536, + -0.6071886868073384, + -0.6637304226742777, + -0.7241396423615469, + -0.7875069246051749, + -0.8528307764693607, + -0.9190386534847247, + -0.9850098435094605, + -1.0495996859100767, + -1.1116645630675521, + -1.1700870801800982, + -1.223800842397908, + -1.271814245685365, + -1.3132327193086795, + -1.3472788929905166, + -1.3733102097221117, + -1.3908335648261638, + -1.3995166216829669, + -1.3991955328783712, + -1.3898788805060618, + -1.371747738895534, + -1.3451518549658037, + -1.3106020334886053, + -1.2687589045449703, + -1.2204183361874623, + -1.1664938346937646, + -1.1079963458881608, + -1.0460119320914427, + -0.9816778488583399, + -0.9161575825776489, + -0.8506154333587048, + -0.7861912368554349, + -0.7239758135800405, + -0.6649877149769139, + -0.6101518025557344, + -0.5602801505482029, + -0.5160557049969341, + -0.4780190643350514, + -0.4465586700493013, + -0.4219046128249049, + -0.4041261716962965, + -0.39313311333507306, + -0.38868068791403404, + -0.39037816921627017, + -0.3977007019816427, + -0.41000414096537835, + -0.426542495734574, + -0.4464875345549367, + -0.46895005128409384, + -0.493002262170494, + -0.5177007757302121, + -0.5421095689790657, + -0.5653224074321078, + -0.5864841642966058, + -0.6048105256843229, + -0.6196056126296839, + -0.6302771060875962, + -0.6363485264827298, + -0.6374683931294588, + -0.6334160690730143, + -0.6241041815952418, + -0.6095775956530706, + -0.5900090046917854, + -0.5656912884160692, + -0.5370268680831114, + -0.5045143646850628, + -0.46873293215272904, + -0.4303246947830874, + -0.38997576406016266, + -0.3483963437729118, + -0.30630045301432746, + -0.2643858037811228, + -0.22331436333198054, + -0.18369411139725642, + -0.1460624692963723, + -0.11087183286840595, + -0.07847758501769297, + -0.049128898055488764, + -0.0229625625549281, + -1.992122277649548e-16 + ], + [ + 0, + 0.01929666679859876, + 0.0357646851569261, + 0.04977274589761116, + 0.06178057227754399, + 0.07232486603059685, + 0.08200302727872599, + 0.09145508084031795, + 0.10134428917593416, + 0.1123369676540115, + 0.1250820400812779, + 0.14019088094473475, + 0.15821798532024545, + 0.17964298803541418, + 0.20485452089933853, + 0.23413635143470368, + 0.26765618969235344, + 0.3054574828088516, + 0.34745444165262673, + 0.3934304620765583, + 0.44304001700344525, + 0.49581400698036887, + 0.5511684681747973, + 0.6084164502816214, + 0.6667827946486463, + 0.7254214671865672, + 0.7834350332298817, + 0.8398958041748473, + 0.8938681399090197, + 0.9444313579491579, + 0.990702680690605, + 1.0318596467753802, + 1.0671614214911374, + 1.0959684641463932, + 1.1177600470045403, + 1.1321491697363664, + 1.1388944742858664, + 1.1379088360652476, + 1.129264386776926, + 1.113193809966637, + 1.0900878405428225, + 1.060488991741958, + 1.0250816251091381, + 0.9846785687289924, + 0.9402045739699022, + 0.8926769792908236, + 0.8431840192631986, + 0.7928612761493942, + 0.7428668186761593, + 0.6943556068593023, + 0.6484537620065546, + 0.6062333068234389, + 0.5686879717007501, + 0.5367106399603598, + 0.5110729676219318, + 0.49240766301227656, + 0.48119384947735044, + 0.4777458620713298, + 0.48220574813881056, + 0.49453965413762097, + 0.5145381889965456, + 0.5418207600009458, + 0.5758437829422237, + 0.6159125763461885, + 0.6611966622456917, + 0.7107481153075926, + 0.7635225301223364, + 0.8184021148632015, + 0.8742203698132629, + 0.9297877726415419, + 0.9839178696644302, + 1.0354531641905502, + 1.083290199597262, + 1.1264032558456119, + 1.1638661131729928, + 1.1948713848324417, + 1.218746980777874, + 1.2349693346384762, + 1.2431731054427457, + 1.2431571513924191, + 1.2348866634361368, + 1.2184914392295079, + 1.1942603710149675, + 1.1626323117354105, + 1.1241835700915657, + 1.079612365158285, + 1.029720642647134, + 0.9753937162117454, + 0.9175782468622765, + 0.8572591104006343, + 0.7954357259427387, + 0.7330984275322532, + 0.6712054553990099, + 0.6106611237585368, + 0.5522956887217234, + 0.4968473937588512, + 0.44494711242815954, + 0.39710594020994594, + 0.3537060110052654, + 0.31499473109138404, + 0.28108253615913636, + 0.25194418767995214, + 0.22742353550282868, + 0.20724158649847035, + 0.19100763642260846, + 0.1782331460214128, + 0.16834797464050408, + 0.16071852690371566, + 0.15466732182165352, + 0.1494934601061835, + 0.14449344531993455, + 0.13898180825614181, + 0.13231099175022262, + 0.12388997474428609, + 0.11320114928650547, + 0.09981501134403398, + 0.08340228462688638, + 0.06374316456825024, + 0.04073344545044328, + 0.014387375474056286, + -0.015162829739362511, + -0.047670797320240925, + -0.08278302621967557, + -0.12004894622201605, + -0.1589337386314027, + -0.19883357791275444, + -0.23909288982832919, + -0.2790231682045262, + -0.31792285075300253, + -0.3550977254242562, + -0.38988132333869285, + -0.42165475282785647, + -0.44986544158499314, + -0.4740442800754381, + -0.49382069855466654, + -0.5089352613175887, + -0.5192494238838484, + -0.5247521701643266, + -0.5255633254724239, + -0.5219334255680295, + -0.5142401096389426, + -0.5029810940314481, + -0.4887638714025887, + -0.47229236456711615, + -0.45435084351505395, + -0.4357854858751305, + -0.4174840236696149, + -0.4003539709490637, + -0.38529996647941955, + -0.3732007920481027, + -0.3648866394557858, + -0.3611171975069964, + -0.36256111430014254, + -0.3697773601955375, + -0.383198973704685, + -0.403119617221627, + -0.4296833033386663, + -0.4628775770576802, + -0.5025303563610587, + -0.5483105453672673, + -0.5997324428273783, + -0.6561638762672504, + -0.7168379009212208, + -0.7808678149856552, + -0.8472651608098792, + -0.9149603074670649, + -0.9828251455505415, + -1.0496973716309077, + -1.1144057989234508, + -1.1757961033839193, + -1.2327564013730776, + -1.284242056556132, + -1.3292991298234937, + -1.3670859163675804, + -1.3968920579094721, + -1.4181547743907656, + -1.430471826873926, + -1.4336109003000586, + -1.4275151792735932, + -1.4123049801286052, + -1.3882753959935255, + -1.3558900061384735, + -1.3157707942630594, + -1.2686845102919253, + -1.215525794504515, + -1.157297459387274, + -1.0950883916017733, + -1.0300495922868074, + -0.9633689172063241, + -0.8962451079752073, + -0.8298617210321528, + -0.765361561823191, + -0.7038222178107102, + -0.6462332557891696, + -0.5934756072777533, + -0.5463036115121693, + -0.5053301201184361, + -0.4710149925394773, + -0.4436572285521294, + -0.42339089579565625, + -0.41018491830751974, + -0.4038466988848168, + -0.40402945594434714, + -0.4102430666948088, + -0.42186812503019305, + -0.43817284663453643, + -0.4583323871965782, + -0.4814500839766454, + -0.5065800875820408, + -0.5327508207201808, + -0.5589886846088313, + -0.5843414319803191, + -0.6079006382161101, + -0.6288227287289373, + -0.6463480605655159, + -0.6598176082998295, + -0.6686868672895415, + -0.6725366596731505, + -0.6710806082621953, + -0.6641691287183802, + -0.6517898789562203, + -0.6340646943553284, + -0.6112431258589089, + -0.5836927831649756, + -0.5518867648622504, + -0.5163885295423172, + -0.47783462484290923, + -0.4369157434886348, + -0.39435661541289957, + -0.35089527199150666, + -0.307262231646814, + -0.26416015528902215, + -0.22224450529823628, + -0.18210571341794682, + -0.14425332176886804, + -0.1091025082644954, + -0.07696334437377789, + -0.048033061050361626, + -0.022391519570019596, + -1.9386738893974302e-16 + ], + [ + 0, + 0.018738044529636785, + 0.034755610372814806, + 0.048478945043960185, + 0.06041996157530632, + 0.07116054102562398, + 0.08133480028321591, + 0.09160979729250576, + 0.10266518757791795, + 0.115172374542572, + 0.12977371074404184, + 0.14706230780562038, + 0.16756299877881872, + 0.1917149689608859, + 0.21985653007161882, + 0.25221245932348874, + 0.2888842606049414, + 0.32984363134244804, + 0.37492933745340246, + 0.42384761218145683, + 0.476176104691174, + 0.5313713133491303, + 0.5887793489231298, + 0.6476497867520397, + 0.707152286454354, + 0.7663955849941163, + 0.8244484057590964, + 0.8803617743432182, + 0.9331921923017835, + 0.9820250942925713, + 1.025998002420565, + 1.0643227946071676, + 1.0963065213814982, + 1.1213702372541805, + 1.1390653580413959, + 1.149087113081655, + 1.151284729842615, + 1.1456680662876786, + 1.1324104916644857, + 1.1118479070040368, + 1.084473890357668, + 1.0509310463452486, + 1.0119987326126405, + 0.9685774250033787, + 0.9216700664319114, + 0.8723608195412951, + 0.8217917083699685, + 0.7711376878152283, + 0.7215807203225445, + 0.6742834659229843, + 0.6303632038003517, + 0.5908666006685374, + 0.5567459234184611, + 0.5288372611599362, + 0.5078412757005482, + 0.49430694077331444, + 0.4886186603608536, + 0.49098707695629484, + 0.5014437934756357, + 0.5198401399063145, + 0.5458500198920346, + 0.5789767756448594, + 0.6185639141962636, + 0.663809446368779, + 0.7137835041972442, + 0.7674488249353641, + 0.8236836221336863, + 0.8813063082099893, + 0.9391014898088584, + 0.9958466281032741, + 1.0503387417236427, + 1.101420530545453, + 1.1480053140942996, + 1.1891002084380649, + 1.2238270093753996, + 1.251440306403921, + 1.271342419956719, + 1.2830948320512705, + 1.2864258658862906, + 1.2812344609473536, + 1.267589984604607, + 1.245728116688843, + 1.216042937776419, + 1.1790754425949335, + 1.135498784868065, + 1.0861006369839699, + 1.0317631152286193, + 0.9734407773483794, + 0.9121372425526226, + 0.8488810137109005, + 0.7847010967543944, + 0.7206030128295255, + 0.6575457846089633, + 0.5964204497414953, + 0.5380306124696638, + 0.48307549004910355, + 0.4321358451583263, + 0.3856631206560219, + 0.3439720107177526, + 0.30723661464032853, + 0.27549022864551675, + 0.2486287391254284, + 0.22641749024880062, + 0.2085014119501293, + 0.1944181132167352, + 0.18361357228793945, + 0.1754599917018694, + 0.1692753336412752, + 0.16434401102922375, + 0.15993818328277695, + 0.15533909318298542, + 0.1498578832435076, + 0.14285534617755885, + 0.13376009413462586, + 0.12208467451793861, + 0.10743921528704121, + 0.0895422482836631, + 0.06822843361630188, + 0.04345298960089302, + 0.0152927191090462, + -0.016056387772877483, + -0.050284905382340324, + -0.08697892137219256, + -0.12563194221703844, + -0.1656594372844352, + -0.20641563415721043, + -0.24721211853862485, + -0.2873377441387103, + -0.326079322652577, + -0.36274254220640045, + -0.3966725550300885, + -0.42727368182773884, + -0.4540277012079278, + -0.47651022709838936, + -0.4944047244517642, + -0.5075137725755041, + -0.5157672546196597, + -0.5192272294035375, + -0.5180893259134136, + -0.5126805893495701, + -0.503453798318979, + -0.4909783633785389, + -0.4759280053501429, + -0.45906549542576236, + -0.44122481594222185, + -0.42329116887985985, + -0.40617931688827125, + -0.3908107874844772, + -0.37809050381659337, + -0.3688834241765041, + -0.3639917767611183, + -0.36413346586629325, + -0.36992220095714995, + -0.3818498614595371, + -0.40027155857196667, + -0.4253937921414065, + -0.45726602720947046, + -0.49577593300337447, + -0.540648438916386, + -0.5914486695560487, + -0.6475887265056215, + -0.7083381903686471, + -0.7728381252684124, + -0.8401182815117836, + -0.9091171127415053, + -0.9787041535635903, + -1.047704244098161, + -1.1149230406513246, + -1.1791732179313794, + -1.2393007487931578, + -1.2942106428976992, + -1.342891536064069, + -1.3844385472416192, + -1.4180738593572955, + -1.4431645328576443, + -1.4592371253077665, + -1.4659887653726287, + -1.4632944130767407, + -1.4512101283903251, + -1.4299722647354915, + -1.3999926006473598, + -1.3618495192131865, + -1.3162754387031825, + -1.2641407867191945, + -1.2064348920598085, + -1.1442442413437193, + -1.0787286094791797, + -1.0110956228128984, + -0.9425743500352749, + -0.874388537789745, + -0.8077301149145832, + -0.7437335811821586, + -0.6834518735094004, + -0.6278342654724428, + -0.577706805495095, + -0.5337557365478811, + -0.49651426713875135, + -0.46635298160124516, + -0.4434740892055649, + -0.42790961860857746, + -0.4195235689041428, + -0.4180179333703805, + -0.4229424192645284, + -0.4337075989538568, + -0.4496011464382265, + -0.46980674088942115, + -0.4934251569564631, + -0.5194970117530643, + -0.54702660184113, + -0.5750062410114154, + -0.6024405017477742, + -0.628369770091389, + -0.6518925449772841, + -0.6721859484193401, + -0.6885239612497493, + -0.7002929592311853, + -0.7070041947219544, + -0.7083029479023332, + -0.7039741568737552, + -0.6939444255745082, + -0.6782804001664747, + -0.6571835960400165, + -0.630981846572497, + -0.6001176290405893, + -0.565133600531278, + -0.5266557453992388, + -0.48537459407950617, + -0.4420250194489841, + -0.39736515030319386, + -0.3521549610686152, + -0.30713510214659345, + -0.26300652618158715, + -0.2204114423251844, + -0.17991609384239068, + -0.14199580513163287, + -0.10702268367239431, + -0.075256292124344, + -0.04683752757294884, + -0.021785860740657765, + -1.8834696688469665e-16 + ], + [ + 0, + 0.018189476666292146, + 0.033798735767955376, + 0.04730993852561034, + 0.059284435807022154, + 0.07034550480902858, + 0.08115927186281155, + 0.09241433028802011, + 0.10480059729789842, + 0.11898797511110246, + 0.13560538810610318, + 0.15522075987499737, + 0.17832247157827896, + 0.20530280661845682, + 0.23644383723732304, + 0.2719061474270951, + 0.31172071505591536, + 0.355784196130084, + 0.4038577676516881, + 0.45556959474976577, + 0.5104208949465887, + 0.5677954799038162, + 0.6269725651086812, + 0.6871425529788471, + 0.7474254169385638, + 0.8068912451283462, + 0.8645824443136528, + 0.9195370587468898, + 0.970812626399564, + 1.0175099769719276, + 1.0587963729045844, + 1.0939274063904454, + 1.1222670918738322, + 1.1433056341173287, + 1.156674405654687, + 1.1621577330393302, + 1.1597011671549533, + 1.1494159971311868, + 1.131579858044071, + 1.1066333773567203, + 1.075172901641212, + 1.0379394411397862, + 0.9958040628021183, + 0.9497500502738665, + 0.9008522297325321, + 0.8502539314715247, + 0.7991421169520059, + 0.7487212481770236, + 0.7001865095056591, + 0.654697010567963, + 0.6133496022766072, + 0.5771539259439159, + 0.5470092884650235, + 0.5236839150514465, + 0.5077970760814086, + 0.49980451759185957, + 0.4999875473890406, + 0.508446042575606, + 0.5250955515716708, + 0.5496685666955408, + 0.5817199444245307, + 0.6206363519829695, + 0.6656495232983333, + 0.7158530169529782, + 0.7702220857369053, + 0.8276361937942696, + 0.8869036549403018, + 0.9467878160190064, + 1.0060341733766482, + 1.0633977895021507, + 1.117670371131225, + 1.1677063797503826, + 1.2124475702169268, + 1.250945392507849, + 1.2823807444455435, + 1.3060806283118738, + 1.321531339946732, + 1.3283879033665729, + 1.3264795550542507, + 1.3158111776245982, + 1.296560680215958, + 1.2690724203040784, + 1.2338468563007445, + 1.1915267099746076, + 1.1428800002325534, + 1.088780383124012, + 1.0301852953052588, + 0.9681124481272203, + 0.9036152557995841, + 0.8377578028867443, + 0.7715899632172666, + 0.7061232740195987, + 0.642308145987714, + 0.5810129526531862, + 0.5230054918673868, + 0.4689372496781259, + 0.41933082401116334, + 0.3745707841845125, + 0.3348981544451924, + 0.30040861763293986, + 0.2710544410530159, + 0.24665003303326435, + 0.22688094778640752, + 0.2113160703607127, + 0.1994226347743146, + 0.19058365884142597, + 0.1841173204317122, + 0.17929775340271292, + 0.1753767083451249, + 0.17160550438006222, + 0.16725669398694135, + 0.16164487329338934, + 0.15414609512821256, + 0.14421538076711693, + 0.13140187768592582, + 0.11536127345543319, + 0.09586514855774167, + 0.0728070315222176, + 0.04620500631743683, + 0.01620081219347379, + -0.016944532145858424, + -0.05285845737588805, + -0.09106771514257081, + -0.13101210001054908, + -0.17206065472177626, + -0.2135299264824022, + -0.2547037878262438, + -0.29485429388158607, + -0.33326301966194566, + -0.36924230703835753, + -0.40215585170010243, + -0.43143807567392656, + -0.45661176048221525, + -0.4773034590526484, + -0.49325625997873407, + -0.5043395442909865, + -0.5105554508705248, + -0.5120418501198962, + -0.5090717144076223, + -0.5020488658915633, + -0.49150017528625606, + -0.47806437662932477, + -0.4624777508131103, + -0.4455570123611662, + -0.4281798075724299, + -0.4112632958538168, + -0.39574133818444024, + -0.38254085585757447, + -0.3725579479051551, + -0.3666343662456068, + -0.36553494329351705, + -0.369926547585367, + -0.38035910933612754, + -0.3972492105347087, + -0.4208666743413919, + -0.4513245176109857, + -0.48857255005387545, + -0.5323948158220628, + -0.5824109803157469, + -0.6380816690301048, + -0.6987176686628506, + -0.763492805862259, + -0.8314602282559402, + -0.9015717280092485, + -0.9726996722130407, + -1.0436610387839826, + -1.1132430029156322, + -1.1802294787918441, + -1.2434279952875884, + -1.3016962734056516, + -1.353967877533474, + -1.399276332178504, + -1.4367771302047234, + -1.4657671069354192, + -1.4857007156515936, + -1.496202812529969, + -1.4970776411773694, + -1.4883137966409574, + -1.4700850439297226, + -1.442746964360631, + -1.4068295020540553, + -1.363025580239746, + -1.3121760503288746, + -1.2552513236907683, + -1.1933301146296054, + -1.1275757912784885, + -1.059210887360344, + -0.989490370645828, + -0.9196742924338395, + -0.851000455808747, + -0.7846577384784341, + -0.7217606887328654, + -0.6633259809243764, + -0.6102512706617936, + -0.5632969307783338, + -0.5230710785415058, + -0.4900182242640223, + -0.464411783426405, + -0.4463506008001313, + -0.4357595381637089, + -0.43239407940880775, + -0.4358488105333142, + -0.4455695395659036, + -0.4608687351162802, + -0.48094388409613076, + -0.504898301101463, + -0.5317638656280499, + -0.560525120056224, + -0.5901441322115502, + -0.6195855119555893, + -0.647840971991316, + -0.6739528388121687, + -0.6970359500423141, + -0.71629741850864, + -0.7310538001129577, + -0.7407452704857653, + -0.7449464927761715, + -0.7433739438109249, + -0.735889556101185, + -0.7225006265224698, + -0.7033560366026828, + -0.6787389218727727, + -0.6490560163570649, + -0.6148239807997481, + -0.5766530975921739, + -0.5352287797415661, + -0.49129139401816374, + -0.44561493834017524, + -0.39898513953426096, + -0.35217754922227806, + -0.3059362124749994, + -0.26095346615250703, + -0.21785139199772857, + -0.17716540439681566, + -0.13933039543394726, + -0.10466979191834891, + -0.07338780218404574, + -0.045565046617636634, + -0.021157677189233382, + -1.8276830316432254e-16 + ], + [ + 0, + 0.017664074162931743, + 0.032920024389761146, + 0.0463035970926227, + 0.05842217021430568, + 0.06993602213500377, + 0.08153803568638836, + 0.09393237967312014, + 0.10781273805523818, + 0.12384067009375932, + 0.14262468295860578, + 0.1647005815714129, + 0.190513629210503, + 0.2204030074119573, + 0.25458900607678975, + 0.29316330587635225, + 0.336082636756337, + 0.38316601053469707, + 0.434095634422795, + 0.4884215180624531, + 0.5455696917355219, + 0.604853860159925, + 0.6654902270915637, + 0.7266151430625665, + 0.7873051541071171, + 0.8465989651541851, + 0.9035207795455178, + 0.9571044372155538, + 1.0064177494663171, + 1.050586418648461, + 1.0888169367106464, + 1.1204178774144709, + 1.1448190325637024, + 1.1615878920297757, + 1.1704430294881452, + 1.171264029111611, + 1.1640976712149482, + 1.149160184990063, + 1.1268354718045033, + 1.097669300716937, + 1.0623595764739175, + 1.0217428768598977, + 0.9767775484882465, + 0.9285237356597683, + 0.8781207936521748, + 0.8267626038269916, + 0.7756713615984056, + 0.726070448251797, + 0.6791570228140135, + 0.6360749800093936, + 0.5978889145091633, + 0.5655597103056047, + 0.5399223376070956, + 0.5216663890172085, + 0.51131982314127, + 0.5092363086883228, + 0.5155864774187318, + 0.5303533019795253, + 0.5533317170103477, + 0.5841325012647851, + 0.6221903373213987, + 0.6667758662167717, + 0.7170114594338299, + 0.7718903424313099, + 0.8302986244508721, + 0.891039720617919, + 0.9528605960288727, + 1.014479218955947, + 1.0746125825273396, + 1.1320046419210417, + 1.1854535175299987, + 1.233837333615655, + 1.27613809618333, + 1.3114630623331853, + 1.3390631149616055, + 1.358347729886984, + 1.3688962054463434, + 1.3704649153127197, + 1.3629904414888678, + 1.3465885437797254, + 1.321549022099994, + 1.2883266262865194, + 1.2475282622572177, + 1.1998968310946359, + 1.14629211680096, + 1.0876692071556544, + 1.0250549886521252, + 0.9595232995439685, + 0.8921693535778337, + 0.8240840603727949, + 0.7563288663450577, + 0.6899117226741381, + 0.625764754543854, + 0.5647241596168263, + 0.5075128046081052, + 0.4547259184207117, + 0.4068202003787676, + 0.3641065746608007, + 0.3267467292965776, + 0.29475348237249827, + 0.26799492178911916, + 0.24620217043477738, + 0.22898053833620258, + 0.21582373946560476, + 0.20613077550434056, + 0.19922502384963167, + 0.19437501410375782, + 0.19081633750320953, + 0.18777410819251916, + 0.1844853845298342, + 0.1802209629618561, + 0.174305976279422, + 0.1661387617423124, + 0.1552075117625525, + 0.14110427934067304, + 0.12353598073245162, + 0.1023321170886616, + 0.07744902303710419, + 0.0489705411711981, + 0.017105114860639894, + -0.017820614665244733, + -0.055371529765098515, + -0.0950168125261748, + -0.13614543192082362, + -0.17808392729111427, + -0.22011601309616508, + -0.26150348164804077, + -0.30150784575241985, + -0.3394121426524531, + -0.3745423149813998, + -0.40628759372183915, + -0.4341193322290431, + -0.45760777861406116, + -0.47643632525123614, + -0.4904128375940789, + -0.4994777382695438, + -0.5037086047275451, + -0.503321127487228, + -0.49866636901572486, + -0.4902243581607936, + -0.4785941494464477, + -0.4644805680490894, + -0.4486779475875333, + -0.4320512467958927, + -0.4155150006964823, + -0.40001062027449913, + -0.38648260037643684, + -0.3758542274228347, + -0.36900339569889606, + -0.366739142984993, + -0.3697795030114129, + -0.37873124394696905, + -0.3940720195123919, + -0.41613540335838695, + -0.4450992094103793, + -0.48097742260369064, + -0.5236159777212459, + -0.572692531021312, + -0.6277202722871704, + -0.6880557262306721, + -0.7529103942701038, + -0.8213659929979386, + -0.8923929565002566, + -0.9648717882987645, + -1.0376167770829212, + -1.1094015303711535, + -1.1789857332915858, + -1.2451425069894717, + -1.3066857235876093, + -1.3624966326130525, + -1.4115491674428242, + -1.4529333293124527, + -1.4858760900957733, + -1.5097593123634745, + -1.5241342547858465, + -1.5287323110850193, + -1.5234717195247378, + -1.5084600751994532, + -1.4839925768361946, + -1.4505460410355573, + -1.408768817390942, + -1.3594668352927914, + -1.3035861050779163, + -1.2421920802889648, + -1.1764463621203491, + -1.1075812898397661, + -1.036873010567565, + -0.9656136570703158, + -0.8950832823315427, + -0.8265222041247389, + -0.761104401538432, + -0.6999125786816268, + -0.6439154693009923, + -0.5939479007998076, + -0.5506940685299772, + -0.5146743929015783, + -0.4862362447486914, + -0.46554873064788765, + -0.4526016318088829, + -0.4472084901503406, + -0.4490137356862002, + -0.4575036528107953, + -0.47202089183933604, + -0.49178214845396395, + -0.5158985595552058, + -0.5433983012154749, + -0.5732508244832403, + -0.6043921288815309, + -0.6357504524214064, + -0.6662717512792915, + -0.6949443520559947, + -0.7208221844518282, + -0.7430460415895518, + -0.7608623680706961, + -0.7736391408059692, + -0.7808784830646299, + -0.7822257361329406, + -0.7774748033425517, + -0.7665696757553362, + -0.7496021451027653, + -0.7268058052676711, + -0.6985465362765658, + -0.6653097521349104, + -0.6276847737159013, + -0.5863467583276725, + -0.5420366767964201, + -0.49553987545970274, + -0.4476637932302985, + -0.3992154220790663, + -0.3509791024744984, + -0.30369523346296123, + -0.2580404505103521, + -0.21460978365527758, + -0.17390125499857884, + -0.13630330945136424, + -0.1020853976501948, + -0.07139194693761164, + -0.044239867412493014, + -0.020519647537537572, + -1.7725260152674147e-16 + ], + [ + 0, + 0.01717503309098846, + 0.03214523595619006, + 0.045496932042012765, + 0.0578794759190432, + 0.06998517230337893, + 0.08252790571436458, + 0.09622105282698566, + 0.11175526940568964, + 0.1297767483618177, + 0.15086653482651174, + 0.17552145842776293, + 0.20413720283638603, + 0.2369939790970327, + 0.27424520362178034, + 0.3159095056360111, + 0.36186630423480504, + 0.4118551041559347, + 0.4654785641902389, + 0.5222092952265438, + 0.5814002487088329, + 0.6422984631970139, + 0.704061849124137, + 0.7657786119538925, + 0.8264888437953614, + 0.8852077549202545, + 0.9409499710591389, + 0.9927542910124778, + 1.039708282831632, + 1.0809720960621554, + 1.1158008823682928, + 1.143565246956662, + 1.163769197890432, + 1.176065118570316, + 1.1802653589540946, + 1.1763501217867562, + 1.1644714092507717, + 1.1449528908388134, + 1.1182856525575302, + 1.0851198883467732, + 1.0462526943580757, + 1.0026122230131898, + 0.9552385441728983, + 0.9052616430428716, + 0.8538770565778817, + 0.802319710315318, + 0.7518365642628823, + 0.7036587085017589, + 0.6589735657227532, + 0.6188978585456993, + 0.5844519841298155, + 0.5565364076051281, + 0.5359106399678965, + 0.5231753063786481, + 0.5187577387128338, + 0.5229014434799171, + 0.5356597048482323, + 0.5568934847055438, + 0.5862736798235083, + 0.6232876927539485, + 0.6672501705818016, + 0.7173176665879671, + 0.7725068866461021, + 0.8317160970592596, + 0.8937491956055922, + 0.9573418846283093, + 1.021189335600953, + 1.0839746999206805, + 1.1443978015644578, + 1.2012033441396646, + 1.2532079778328644, + 1.2993256004762062, + 1.3385903106923984, + 1.3701764887615633, + 1.3934155510509079, + 1.4078090048304392, + 1.413037520071858, + 1.408965831187182, + 1.3956433822440286, + 1.3733007315310535, + 1.3423418329357988, + 1.3033324099565875, + 1.2569847309022548, + 1.2041391786831412, + 1.1457430835069122, + 1.0828273499550347, + 1.0164814598146972, + 0.9478274674915348, + 0.8779936250040391, + 0.808088278013724, + 0.739174663017519, + 0.6722472090526098, + 0.6082099057523538, + 0.5478572444215962, + 0.49185817138304133, + 0.4407434148963454, + 0.39489646043833726, + 0.35454835623483444, + 0.31977643398383937, + 0.2905069311341323, + 0.26652140334501334, + 0.24746672128842032, + 0.23286835711332937, + 0.22214658487828207, + 0.21463514807519454, + 0.20960188777081346, + 0.20627077834259752, + 0.20384478541566606, + 0.2015289431919671, + 0.19855304630121454, + 0.19419336460915929, + 0.187792817720762, + 0.17877908846637303, + 0.1666802103540175, + 0.151137231377493, + 0.13191363396271524, + 0.10890127623898498, + 0.08212271106326151, + 0.051729833984928204, + 0.017998907209779813, + -0.01867789882754514, + -0.05780421384177635, + -0.09879410877570981, + -0.14098927569354947, + -0.1836782860860003, + -0.226117412475825, + -0.26755245670543704, + -0.3072410010425879, + -0.344474485957674, + -0.37859952143121944, + -0.4090378568825376, + -0.43530446782641863, + -0.4570232643474258, + -0.4739399862619956, + -0.48593192092450843, + -0.49301416024630446, + -0.495342201615509, + -0.493210790818465, + -0.4870490014219571, + -0.47741164195302527, + -0.46496717716670033, + -0.4504824403219671, + -0.43480449739741484, + -0.4188400994364496, + -0.4035332237987456, + -0.38984125735424635, + -0.37871041323762, + -0.371050996673091, + -0.3677131439347956, + -0.36946365146088067, + -0.37696448961329204, + -0.3907535580787699, + -0.4112281883230241, + -0.4386318340751253, + -0.47304431509096795, + -0.5143758942655398, + -0.562365375614977, + -0.616582312999655, + -0.6764333191093741, + -0.7411723636535306, + -0.8099148513767661, + -0.8816551768869821, + -0.9552873666603711, + -1.029628341131169, + -1.1034432634139923, + -1.1754723876062119, + -1.2444587801272808, + -1.3091762631764057, + -1.3684569207649397, + -1.4212175151532314, + -1.46648418474916, + -1.5034148330725443, + -1.5313186713443485, + -1.5496724433557507, + -1.558132938918721, + -1.556545489521418, + -1.544948234693272, + -1.523572047724229, + -1.49283611234753, + -1.453339245282136, + -1.4058471606266911, + -1.3512759685416897, + -1.290672290103019, + -1.2251904504824014, + -1.1560672817562325, + -1.0845951229849227, + -1.0120936473740503, + -0.9398811733080988, + -0.8692461271910078, + -0.8014193210766734, + -0.7375476871632795, + -0.6786700748838627, + -0.6256956654564869, + -0.5793854946197302, + -0.5403374984557713, + -0.5089754115621187, + -0.4855417534798316, + -0.4700950405133308, + -0.4625112583069311, + -0.46248952826793177, + -0.4695618006460982, + -0.48310631124183806, + -0.502364449654165, + -0.5264606068573305, + -0.554424500650553, + -0.5852154208254908, + -0.6177477930954203, + -0.6509174329374391, + -0.6836278481533323, + -0.7148159524094678, + -0.7434765711340663, + -0.7686851554068602, + -0.7896181679737851, + -0.8055706670093907, + -0.8159706861646092, + -0.8203900919300209, + -0.8185516893338388, + -0.8103324422173487, + -0.7957627724011589, + -0.7750220005204684, + -0.7484300877098076, + -0.7164359292567248, + -0.6796025365361856, + -0.6385895198719888, + -0.5941333505634263, + -0.5470259335517004, + -0.4980920617804025, + -0.4481663482711279, + -0.39807024169994465, + -0.34858972561592516, + -0.3004542805688216, + -0.25431765287053354, + -0.2107409244331419, + -0.17017831637721917, + -0.13296608647221725, + -0.09931479881186688, + -0.06930515552255152, + -0.04288748700558094, + -0.01988490159520463, + -1.7192358596351585e-16 + ], + [ + 0, + 0.016735482034390122, + 0.031499620718039655, + 0.044925642644827325, + 0.05770021586897871, + 0.0705421560209126, + 0.084180143173051, + 0.0993300468892612, + 0.11667246825640147, + 0.13683110344257296, + 0.16035251354721963, + 0.18768785068743465, + 0.21917704126621357, + 0.2550358654132501, + 0.295346298225916, + 0.3400503955048907, + 0.3889479162561462, + 0.44169777859044884, + 0.49782334719945437, + 0.5567214518044666, + 0.6176749393529829, + 0.6798684707222643, + 0.742407187610248, + 0.8043377993145027, + 0.8646715741581847, + 0.9224086680841942, + 0.9765631847565335, + 1.0261883383843406, + 1.070401083048015, + 1.1084055807969018, + 1.139514905045802, + 1.1631704152713374, + 1.1789582927666902, + 1.1866227939645873, + 1.186075855967372, + 1.1774027765269448, + 1.160863785653839, + 1.1368914259743859, + 1.1060837614392212, + 1.069193536488033, + 1.0271135077612439, + 0.9808582654428234, + 0.9315429489613943, + 0.8803593398875894, + 0.8285498814938936, + 0.777380227917639, + 0.7281109648388098, + 0.6819691670567862, + 0.6401204657092585, + 0.6036422889028404, + 0.5734989144005549, + 0.5505189323157164, + 0.535375660457686, + 0.5285709863856007, + 0.5304230300020872, + 0.541057930598473, + 0.5604059648239684, + 0.5882020994581665, + 0.6239909776115974, + 0.6671362316226398, + 0.7168339130244968, + 0.7721297320277967, + 0.8319397083866671, + 0.8950737544933774, + 0.9602616420499261, + 1.026180747383136, + 1.0914849287682156, + 1.1548338630125543, + 1.2149221586528998, + 1.2705075696641854, + 1.3204376563934337, + 1.3636742789455232, + 1.3993153615031872, + 1.426613432745378, + 1.444990525992105, + 1.45404911101936, + 1.4535788254846869, + 1.4435588752266653, + 1.4241560768671546, + 1.39571862060421, + 1.3587657332839147, + 1.3139735192880713, + 1.2621573471002057, + 1.2042512304223312, + 1.1412847224505476, + 1.0743578987011908, + 1.0046150462557322, + 0.9332177044624053, + 0.8613177133753943, + 0.7900309213030533, + 0.7204121819488009, + 0.653432235330672, + 0.5899570159064379, + 0.5307298674150003, + 0.4763570684986782, + 0.42729698810447897, + 0.3838530971191136, + 0.34617096499689975, + 0.31423926973891975, + 0.2878947489848163, + 0.2668309216936101, + 0.25061031636189246, + 0.23867985527794164, + 0.23038896707831252, + 0.22500993376434672, + 0.22175992497325855, + 0.21982413298345174, + 0.21837939761416045, + 0.21661770142594994, + 0.213768922620671, + 0.20912225556180883, + 0.2020457462844044, + 0.19200344175971798, + 0.17856971569668795, + 0.1614404086578165, + 0.14044050432520463, + 0.11552815473120594, + 0.08679496285357166, + 0.05446252873927546, + 0.018875362783495917, + -0.019509635521231115, + -0.06013684553648055, + -0.10236837023045524, + -0.14550281528663256, + -0.18879589894437576, + -0.2314823406888023, + -0.2727984427984976, + -0.3120047596737641, + -0.3484082462996972, + -0.38138328925132864, + -0.4103910510329474, + -0.43499660058439144, + -0.45488335843803207, + -0.4698644528820041, + -0.4798906618794376, + -0.485054702444902, + -0.48559172250481036, + -0.4818759476218985, + -0.4744135338939333, + -0.46383177634891276, + -0.45086491677751644, + -0.4363368837733625, + -0.4211413785386687, + -0.40621979070019326, + -0.3925374871598213, + -0.38105906236229736, + -0.3727231691181849, + -0.3684175644547518, + -0.3689550044457722, + -0.37505060555307274, + -0.387301258054001, + -0.4061676303741685, + -0.43195924270826364, + -0.4648230156509657, + -0.5047356164398934, + -0.5514998338618671, + -0.6047451151354519, + -0.6639322965580057, + -0.728362456895156, + -0.797189720932709, + -0.869437742818205, + -0.9440195072163842, + -1.0197600031669147, + -1.0954212529362624, + -1.1697291179148672, + -1.2414012572413113, + -1.3091755835128482, + -1.3718385444737713, + -1.428252560378662, + -1.4773819638247252, + -1.5183168218547811, + -1.5502940682762967, + -1.5727154362757176, + -1.5851617560399656, + -1.5874032674280967, + -1.5794056917016595, + -1.5613319066437676, + -1.5335391736385044, + -1.496571970909979, + -1.451150591564585, + -1.398155765798805, + -1.338609661176494, + -1.2736537009423796, + -1.204523715828679, + -1.1325230078931245, + -1.0589939540680224, + -0.9852888111104089, + -0.9127404017034899, + -0.8426333631402921, + -0.7761766252938661, + -0.7144777538188563, + -0.6585197485024127, + -0.6091408265284483, + -0.5670176476224131, + -0.5326523543969129, + -0.5063637087786249, + -0.4882825064337773, + -0.47835134804975393, + -0.4763287416982182, + -0.48179740685910044, + -0.49417655055528664, + -0.5127377918746076, + -0.5366243252277646, + -0.5648728370900948, + -0.5964376275254617, + -0.6302163380130573, + -0.6650766521734678, + -0.6998833167313523, + -0.7335248268825421, + -0.7649391331789285, + -0.7931377557329129, + -0.8172277352133911, + -0.8364309076273402, + -0.8501000597846258, + -0.8577316028548126, + -0.8589744905106297, + -0.8536352035720979, + -0.8416787224251043, + -0.8232255093023972, + -0.7985446222672683, + -0.768043178946321, + -0.732252478326922, + -0.6918111710301709, + -0.6474459403625012, + -0.5999502163688751, + -0.5501614915909161, + -0.4989378391460952, + -0.44713425032795595, + -0.39557940980605555, + -0.3450535116957803, + -0.296267689683698, + -0.2498455898273507, + -0.20630755675571935, + -0.16605783426697449, + -0.12937510153858175, + -0.0964065783667571, + -0.06716583927246011, + -0.04153437932811139, + -0.01926687663500203, + -1.6690610814058382e-16 + ], + [ + 0, + 0.016358327846219604, + 0.03100761436653275, + 0.04462367159202027, + 0.057925239877494955, + 0.07165163619713977, + 0.08653973559163712, + 0.10330090386153659, + 0.12259850203432779, + 0.14502656963362068, + 0.17109026467544355, + 0.20118859432972505, + 0.23559991241074987, + 0.2744705897431835, + 0.31780718274675757, + 0.36547233631793663, + 0.4171845615038015, + 0.4725219289668421, + 0.5309296183360952, + 0.5917311637760274, + 0.6541431400012865, + 0.7172929429568554, + 0.7802392377547525, + 0.8419945752898531, + 0.9015496200703026, + 0.9578983867101386, + 1.0100638524186991, + 1.0571232984868577, + 1.098232735625135, + 1.1326497860610671, + 1.1597544291564221, + 1.1790670661676743, + 1.1902634224785031, + 1.1931858806666358, + 1.1878509233045111, + 1.1744524583442406, + 1.1533608999984866, + 1.1251179817396864, + 1.0904273828438906, + 1.0501413532129726, + 1.0052436204619526, + 0.9568289559935466, + 0.906079860692242, + 0.8542409038613613, + 0.8025913092698607, + 0.7524164281534429, + 0.704978769558052, + 0.6614892727324592, + 0.6230795039780274, + 0.5907754414638625, + 0.5654734764388168, + 0.5479192088410072, + 0.5386895507218414, + 0.5381785737155327, + 0.5465874488584327, + 0.5639187305227247, + 0.5899751334169475, + 0.6243628450183949, + 0.6664993080311068, + 0.7156253011302719, + 0.7708210439480426, + 0.8310259564683401, + 0.8950616160617718, + 0.9616573794228171, + 1.029478073518274, + 1.0971531108532553, + 1.1633063510920014, + 1.2265860141383733, + 1.285693949587539, + 1.3394135839990498, + 1.3866359002951494, + 1.4263828519407329, + 1.4578276772178573, + 1.4803116543236845, + 1.4933569243408207, + 1.4966751042324224, + 1.4901715135677713, + 1.4739449441984738, + 1.4482830089986527, + 1.4136532114419353, + 1.370689979635568, + 1.3201780039873379, + 1.263032304622837, + 1.2002755308935311, + 1.1330130589825333, + 1.062406503199856, + 0.989646290887154, + 0.9159239691272286, + 0.8424049132767021, + 0.7702020927196089, + 0.7003515185892929, + 0.6337899523355917, + 0.5713353941080547, + 0.5136707975129535, + 0.46133137421735615, + 0.41469576021351223, + 0.3739812176247017, + 0.3392429441839059, + 0.31037745949250256, + 0.2871299354370882, + 0.2691052402399073, + 0.2557823739726524, + 0.24653189024393013, + 0.24063582622911844, + 0.2373096030311138, + 0.23572531201256836, + 0.2350357713469459, + 0.23439872134315598, + 0.23300052745835073, + 0.2300787762746901, + 0.2249431816264665, + 0.21699426468277708, + 0.2057393319088433, + 0.19080534689986606, + 0.1719483742604777, + 0.14905936389403107, + 0.12216613997371495, + 0.0914315580546611, + 0.05714789373541775, + 0.01972762445356498, + -0.020309140084749894, + -0.06235023606791785, + -0.10570961114079414, + -0.1496475885926264, + -0.19339268637542137, + -0.2361644060890799, + -0.2771963810030029, + -0.3157592617878985, + -0.35118272418069496, + -0.3828760041725446, + -0.41034640296928976, + -0.43321525501397845, + -0.4512309165078687, + -0.4642784075143217, + -0.47238542598222094, + -0.47572454474152515, + -0.4746115003719316, + -0.46949958336299497, + -0.46097023963608436, + -0.449720091743579, + -0.4365446814132409, + -0.4223193211984813, + -0.40797751963896195, + -0.3944875095737559, + -0.38282746140614915, + -0.37396000084420433, + -0.3688066729415192, + -0.3682230005290345, + -0.37297477515093236, + -0.3837161925906734, + -0.4009704035925514, + -0.42511299443203665, + -0.4563588429094051, + -0.49475271481037036, + -0.5401638758578451, + -0.5922848968740905, + -0.6506347276719272, + -0.7145660106135501, + -0.7832765003970494, + -0.8558243550355629, + -0.9311469667007132, + -1.0080829125031727, + -1.085396526586646, + -1.1618045280847058, + -1.2360040862109747, + -1.3067016653699641, + -1.372641970671005, + -1.432636308194383, + -1.4855896849862906, + -1.5305260008261738, + -1.566610726691424, + -1.5931705225248445, + -1.6097093180098654, + -1.6159204628658108, + -1.6116946456897325, + -1.597123380351566, + -1.5724979639690548, + -1.5383039179961469, + -1.4952110313383744, + -1.444059229047549, + -1.3858405894980959, + -1.3216779245892005, + -1.2528004192190045, + -1.1805168960511914, + -1.106187327743279, + -1.0311932599670688, + -0.9569078337285725, + -0.8846661040829406, + -0.8157363441411368, + -0.7512929984919114, + -0.69239190943388, + -0.6399483837363115, + -0.5947185983980742, + -0.5572847627569998, + -0.5280443633109031, + -0.5072037189808543, + -0.49477597069547835, + -0.49058352264544675, + -0.49426484595557274, + -0.5052854514512838, + -0.5229527391937463, + -0.546434340931825, + -0.5747794897895327, + -0.6069428813522125, + -0.641810433519974, + -0.6782263104169811, + -0.7150205492687678, + -0.7510366190864672, + -0.7851582464225553, + -0.8163348661754166, + -0.8436050938060469, + -0.8661176683892718, + -0.8831493822931322, + -0.8941195912759893, + -0.8986009864397809, + -0.8963264045730523, + -0.8871915535724161, + -0.8712536323394834, + -0.8487259272475148, + -0.8199685673997589, + -0.7854757159710357, + -0.745859562578257, + -0.7018315596972389, + -0.6541814127086052, + -0.603754386582717, + -0.5514275312017288, + -0.49808545092888634, + -0.4445962517206405, + -0.3917882906852346, + -0.3404283287744681, + -0.29120164790208475, + -0.24469464024095477, + -0.2013803111441631, + -0.16160705976273285, + -0.12559101497186742, + -0.0934121108711044, + -0.0650139882652187, + -0.040207708647364934, + -0.018679167827785722, + -1.6232471968196082e-16 + ], + [ + 0, + 0.01605610152116577, + 0.03069253750587646, + 0.04462277366222587, + 0.058591845472092674, + 0.07335312064310957, + 0.08964473678824879, + 0.10816634798326429, + 0.12955680696232597, + 0.15437338671800008, + 0.1830731067415779, + 0.21599667603369346, + 0.2533554986611542, + 0.2952221096967116, + 0.3415243218102414, + 0.39204326778318804, + 0.4464154241834615, + 0.5041385988854985, + 0.5645817626371196, + 0.6269985050505563, + 0.6905438007565231, + 0.754293684408572, + 0.817267355975296, + 0.8784511722838173, + 0.9368239287616659, + 0.991382798114443, + 1.0411692712545173, + 1.0852944407497975, + 1.1229629785716624, + 1.1534951877548487, + 1.176346551098935, + 1.191124258208094, + 1.1976002635826541, + 1.1957205114092857, + 1.18561005512243, + 1.167573899463328, + 1.1420934971955186, + 1.109818939273408, + 1.0715569834696008, + 1.0282551696178213, + 0.9809823671622057, + 0.9309061901946696, + 0.8792677943777923, + 0.8273546371084342, + 0.7764718352929818, + 0.7279127928351241, + 0.6829297914125588, + 0.6427052427696197, + 0.6083242884217078, + 0.5807494036154704, + 0.5607976172884399, + 0.5491208996916304, + 0.546190195716075, + 0.5522834965719776, + 0.5674782473704044, + 0.5916482856563947, + 0.624465398526911, + 0.6654054762480258, + 0.7137591309325094, + 0.7686465425138959, + 0.8290361935458836, + 0.8937670617199787, + 0.9615737566863359, + 1.0311140177871165, + 1.100997933371219, + 1.1698182018131915, + 1.2361807301898067, + 1.2987348593565466, + 1.3562025140790042, + 1.4074056036577756, + 1.4512910414736435, + 1.4869528100102452, + 1.5136505697514684, + 1.5308243941335324, + 1.5381053063990926, + 1.5353213954548568, + 1.5224993941938916, + 1.4998617126057432, + 1.4678190267007118, + 1.426958630165774, + 1.3780288561687446, + 1.3219199693908479, + 1.2596420109494246, + 1.1923001493773113, + 1.121068147559857, + 1.0471605971430884, + 0.9718045974409689, + 0.8962115647087693, + 0.8215498496482985, + 0.748918816420516, + 0.6793249959222061, + 0.613660870688711, + 0.5526867799325313, + 0.497016352666187, + 0.4471057866214469, + 0.40324719303543577, + 0.36556612477537354, + 0.3340233002832892, + 0.30842043105926875, + 0.2884099584740543, + 0.27350840914050084, + 0.26311298927025834, + 0.256520959590534, + 0.25295126543630975, + 0.25156784320546505, + 0.2515039857660691, + 0.2518871265615998, + 0.2518633955999909, + 0.2506213103567253, + 0.2474139905800112, + 0.24157932736332718, + 0.23255759256778194, + 0.21990604329582492, + 0.20331015587927556, + 0.18259121271089224, + 0.15771006095618065, + 0.12876696229748696, + 0.09599755484384487, + 0.05976504960105057, + 0.020548881870475082, + -0.021069869849961242, + -0.06442590078897575, + -0.10878946211069744, + -0.15338797611297073, + -0.19742890403599805, + -0.2401232529156268, + -0.2807090904726849, + -0.3184744357810269, + -0.35277890844496457, + -0.38307354987492664, + -0.4089182762120985, + -0.42999648237069965, + -0.44612638904052876, + -0.4572688075072988, + -0.46353108871911547, + -0.46516712085163464, + -0.46257334123886007, + -0.45628083137958153, + -0.4469436652045865, + -0.43532377833080255, + -0.42227271716372267, + -0.4087107091233318, + -0.39560356686049497, + -0.38393799826659003, + -0.374695938838738, + -0.3688285523777677, + -0.3672305592787591, + -0.37071554843916277, + -0.3799929090830653, + -0.3956469830201689, + -0.41811898686364857, + -0.4476921887426768, + -0.48448074663474794, + -0.5284225274944925, + -0.57927613002028, + -0.6366222315417485, + -0.6998692736497435, + -0.7682633944365673, + -0.8409024102089859, + -0.9167535488812295, + -0.9946745434507912, + -1.0734376093421596, + -1.1517557560870613, + -1.2283108236334659, + -1.3017825880578648, + -1.3708782517564317, + -1.4343616200824894, + -1.491081270244779, + -1.5399970390318032, + -1.5802041931132473, + -1.610954698417576, + -1.6316750721383133, + -1.641980380670242, + -1.6416840372970316, + -1.630803152553061, + -1.609559295461112, + -1.5783746327468982, + -1.5378635230027808, + -1.4888197509424808, + -1.432199690721921, + -1.369101784269135, + -1.3007428083062593, + -1.2284314801215883, + -1.1535400153006539, + -1.0774742990159172, + -1.0016433649311574, + -0.9274288915142891, + -0.8561554241966146, + -0.7890620134111657, + -0.7272759235487402, + -0.6717890171549392, + -0.6234373535057169, + -0.5828844626479798, + -0.5506086669937221, + -0.5268947247957537, + -0.5118299657074263, + -0.5053049806878934, + -0.5070188193986015, + -0.5164885406114277, + -0.5330628576387932, + -0.5559395239207109, + -0.5841860160153186, + -0.6167629944651402, + -0.6525499592009005, + -0.6903724668255677, + -0.7290302434606861, + -0.7673255096141206, + -0.8040908331152846, + -0.838215842517391, + -0.8686721660287029, + -0.894536009147145, + -0.9150078464952766, + -0.9294287782973495, + -0.9372931876096299, + -0.9382574286506936, + -0.9321443770137808, + -0.9189437766637527, + -0.8988084238263012, + -0.8720463315453655, + -0.8391091182386122, + -0.8005769565513042, + -0.757140502896025, + -0.7095803011963218, + -0.6587442147307033, + -0.6055234861263261, + -0.5508280563640944, + -0.4955617883995285, + -0.44059823935108045, + -0.38675760724481817, + -0.33478544452570286, + -0.28533368184053, + -0.23894444322884675, + -0.1960370594296118, + -0.1568986014275417, + -0.12167816378138466, + -0.0903850290526953, + -0.06289074328328277, + -0.038935030524830584, + -0.018135374489707333, + -1.5830222531772736e-16 + ], + [ + 0, + 0.015840805951609662, + 0.03057630318771933, + 0.04495210270706526, + 0.0597332710276579, + 0.07568039422984446, + 0.09352567607046033, + 0.1139497139226587, + 0.1375595797773457, + 0.16486880089416237, + 0.19627978672594645, + 0.23206918666030274, + 0.27237658848149465, + 0.3171968821292888, + 0.36637651946347016, + 0.41961380069578896, + 0.47646321444574297, + 0.5363437536289296, + 0.5985510262427753, + 0.6622728811841552, + 0.7266081770250477, + 0.7905882385299072, + 0.8532004737425415, + 0.9134135655453056, + 0.9702036072206137, + 1.022580522884253, + 1.0696141014809437, + 1.110458977693855, + 1.1443779145599928, + 1.1707627803222151, + 1.1891526651978626, + 1.1992486510292768, + 1.2009248265732322, + 1.1942352315399858, + 1.179416511196336, + 1.1568861679763511, + 1.1272364045210042, + 1.0912236612276267, + 1.0497540580427382, + 1.0038650522319374, + 0.9547037186721593, + 0.903502144471047, + 0.8515505032929617, + 0.8001684348130935, + 0.750675399712605, + 0.7043607094191913, + 0.6624539416371196, + 0.6260964472628694, + 0.5963146316365795, + 0.5739956537486223, + 0.5598661319289827, + 0.5544743750079949, + 0.5581765756203335, + 0.5711273092162142, + 0.5932745806979306, + 0.6243595528817922, + 0.6639209798122543, + 0.7113042560307871, + 0.7656748829516423, + 0.8260360481985858, + 0.8912499156768892, + 0.9600621356839169, + 1.0311290076556676, + 1.1030466650741415, + 1.1743816041566244, + 1.2437018463767162, + 1.3096080103921632, + 1.3707635719216804, + 1.4259236104402035, + 1.4739613787428436, + 1.5138920845432016, + 1.5448933410132089, + 1.566321823873484, + 1.577725764323742, + 1.5788530075132432, + 1.5696544729313713, + 1.5502829634371766, + 1.5210873809465943, + 1.4826025163398548, + 1.4355346862690328, + 1.3807435876794605, + 1.3192208296271521, + 1.2520656792302465, + 1.1804586224752567, + 1.1056333895809978, + 1.0288481275462422, + 0.9513564186114484, + 0.8743788423064378, + 0.7990757606146814, + 0.726521971062745, + 0.6576838221504412, + 0.5933993207689103, + 0.5343616837583782, + 0.48110669749422025, + 0.43400415258103925, + 0.3932535178082414, + 0.3588839110519989, + 0.3307583174542212, + 0.30858189964219596, + 0.29191414359504064, + 0.2801844895219214, + 0.272711012120877, + 0.2687216409295353, + 0.26737735096607, + 0.26779670796466565, + 0.2690811223405206, + 0.2703401522858695, + 0.27071619939880504, + 0.2694079598597629, + 0.26569202985929696, + 0.258942114806091, + 0.24864535648894298, + 0.2344153691685731, + 0.21600166256981496, + 0.1932952247135061, + 0.16633013805421337, + 0.13528120592148796, + 0.10045767017230858, + 0.06229320261719021, + 0.021332449607182353, + -0.02178550128802119, + -0.06634628358637615, + -0.1115815258399579, + -0.15669166476559998, + -0.20086968469795768, + -0.2433251458309954, + -0.28330785540612125, + -0.3201305442807981, + -0.35318993597147713, + -0.3819856356971381, + -0.40613632214505635, + -0.4253927932562451, + -0.43964749756399085, + -0.4489402724993209, + -0.45346010834139894, + -0.45354285868975613, + -0.44966492289234666, + -0.4424330301394629, + -0.4325703562922374, + -0.4208993003886842, + -0.40832133572626106, + -0.3957944282182857, + -0.384308580373596, + -0.37486011106637646, + -0.3684253179011463, + -0.36593418946882816, + -0.36824483856766244, + -0.37611931437832546, + -0.390201421907452, + -0.41099713143428046, + -0.4388581002958769, + -0.47396875558380236, + -0.5163373009917336, + -0.565790916234115, + -0.6219753154757549, + -0.6843587245799586, + -0.7522402283283538, + -0.8247623307747491, + -0.9009274672440915, + -0.9796181077744225, + -1.0596200014823671, + -1.1396480316659683, + -1.2183740844394308, + -1.2944562810106799, + -1.3665688867021077, + -1.4334321894315316, + -1.4938416371595755, + -1.5466955378947755, + -1.5910206569269632, + -1.6259950933116194, + -1.650967880131111, + -1.6654748292166603, + -1.6692502289938995, + -1.6622341017885545, + -1.644574831930381, + -1.616627085773779, + -1.5789450566436705, + -1.5322711789923182, + -1.477520564006815, + -1.4157615109076616, + -1.3481925417401703, + -1.2761164903022169, + -1.2009122459551835, + -1.1240048087232624, + -1.0468343519451677, + -0.9708250118356475, + -0.897354129084993, + -0.8277226559411528, + -0.7631274133760492, + -0.7046358376501204, + -0.6531637949745877, + -0.6094569685206144, + -0.5740762355682728, + -0.5473873562475907, + -0.5295551914606573, + -0.5205425587315774, + -0.5201137235722381, + -0.5278424131921938, + -0.5431241317226176, + -0.5651924541890213, + -0.5931388827324261, + -0.6259357653153813, + -0.6624617063676133, + -0.7015288422254491, + -0.7419113131465835, + -0.7823742390991364, + -0.8217024989848992, + -0.8587286225934798, + -0.8923591311048459, + -0.9215987046541683, + -0.9455716132388149, + -0.9635399186061748, + -0.9749180379032395, + -0.9792833526972465, + -0.9763826471588218, + -0.9661342642253233, + -0.9486259758085376, + -0.9241086699042679, + -0.8929860611460526, + -0.8558007293484751, + -0.8132168804821973, + -0.7660003040947952, + -0.7149960684829992, + -0.6611045482876855, + -0.6052564173289583, + -0.5483872615136623, + -0.4914124720255826, + -0.43520306766080646, + -0.3805630674272595, + -0.32820899112890556, + -0.27875200773312525, + -0.23268318036873062, + -0.19036217464114122, + -0.1520097056785959, + -0.11770390126355151, + -0.08738065604913524, + -0.060837947809477586, + -0.03774398356342412, + -0.017648943855770153, + -1.5495823325931208e-16 + ], + [ + 0, + 0.0157237673285404, + 0.030679135941943433, + 0.045637821883813164, + 0.061378227347421384, + 0.07866100756378727, + 0.09820504419723329, + 0.12066447336124073, + 0.1466073900040534, + 0.17649680804853488, + 0.21067439836434818, + 0.24934745583980575, + 0.2925794642842036, + 0.3402845357045115, + 0.39222590098337695, + 0.4480185246461287, + 0.5071358098748371, + 0.5689202538982024, + 0.632597811039087, + 0.6972956236430893, + 0.7620626923067714, + 0.825892978535182, + 0.8877503671876229, + 0.9465948645106078, + 1.0014093715472105, + 1.0512263532055397, + 1.095153720807762, + 1.1323992606419013, + 1.162292972589743, + 1.1843067305724915, + 1.1980707392042957, + 1.2033863371594193, + 1.2002347854895177, + 1.1887817763278739, + 1.1693775017014492, + 1.1425522309717335, + 1.1090074560560539, + 1.0696027733049844, + 1.0253387770080216, + 0.9773363393316518, + 0.9268127425736293, + 0.8750552096682397, + 0.8233924458908094, + 0.7731648569951542, + 0.725694145244685, + 0.6822530040296189, + 0.6440356334799552, + 0.612129783597693, + 0.587490998286881, + 0.5709196840266005, + 0.5630415619866693, + 0.5642919836839878, + 0.5749044997142909, + 0.5949039708589955, + 0.6241044033891304, + 0.6621115782779802, + 0.7083304300172125, + 0.761977017583424, + 0.8220948205796677, + 0.8875749903492423, + 0.9571800914437446, + 1.029570785526515, + 1.1033348396372296, + 1.1770177854431751, + 1.249154517004101, + 1.3183010926301784, + 1.3830660021464016, + 1.4421401743887587, + 1.4943250307093605, + 1.5385579378945735, + 1.5739344770291237, + 1.5997270219186304, + 1.615399209820897, + 1.62061598624685, + 1.615249012049692, + 1.5993773323202147, + 1.5732833200262895, + 1.5374440201057464, + 1.4925181290943743, + 1.4393289486822365, + 1.3788437463325534, + 1.3121500399732136, + 1.24042939475798, + 1.1649293762892947, + 1.0869343451565732, + 1.0077358012268203, + 0.928602992299983, + 0.850754490411673, + 0.7753314105644165, + 0.7033729017526799, + 0.6357944799772616, + 0.5733696990566483, + 0.5167155693078171, + 0.46628203874700674, + 0.42234574874749226, + 0.38500816865698734, + 0.3541981044038616, + 0.3296784673351639, + 0.31105708413363803, + 0.2978012292679912, + 0.2892554704981621, + 0.2846623377262942, + 0.28318525792428034, + 0.2839331456293499, + 0.28598600086871667, + 0.28842084524859823, + 0.29033732280360225, + 0.29088230510512647, + 0.2892728697011529, + 0.2848170664166734, + 0.2769319461992246, + 0.2651584004963341, + 0.2491724437219291, + 0.2287926650478358, + 0.20398367615895754, + 0.17485548618532235, + 0.14165884111733545, + 0.10477666993313409, + 0.06471188076161556, + 0.02207184511240712, + -0.022450005871874627, + -0.06809497421941636, + -0.11406171595635813, + -0.15953008124175336, + -0.20368553304948095, + -0.24574348804370924, + -0.28497292455538936, + -0.3207186206577106, + -0.35242141981048913, + -0.3796359715360037, + -0.40204545884942067, + -0.41947290108266067, + -0.4318887083784466, + -0.4394142602865311, + -0.44232138314503666, + -0.44102770669873026, + -0.43608798702302193, + -0.4281815875928796, + -0.41809641060717584, + -0.40670966390763913, + -0.3949659326465181, + -0.38385309711911336, + -0.3743766970333587, + -0.36753338641773536, + -0.36428415122105223, + -0.36552797268319553, + -0.3720766134242615, + -0.3846311800082631, + -0.40376107601076816, + -0.42988590429538515, + -0.4632608076109879, + -0.503965654447751, + -0.5518983843403424, + -0.6067727257537752, + -0.6681203928158734, + -0.7352977571047601, + -0.8074968801802015, + -0.8837606843012629, + -0.9630019354871835, + -1.0440256173237608, + -1.1255541880836375, + -1.2062551399647148, + -1.2847702194122412, + -1.359745623092043, + -1.429862456261897, + -1.4938667297758923, + -1.5505981790577106, + -1.5990172129646056, + -1.6382293419759273, + -1.667506492601367, + -1.6863046869448763, + -1.6942776512496887, + -1.6912860129395004, + -1.677401849844169, + -1.6529084654278916, + -1.61829537724739, + -1.574248619797864, + -1.521636574580778, + -1.4614916469285857, + -1.3949882082458969, + -1.3234173114572738, + -1.2481587644154466, + -1.1706512089438195, + -1.0923609005314598, + -1.0147499143150027, + -0.9392445161287138, + -0.8672044327663544, + -0.7998937332978463, + -0.7384539938732446, + -0.6838803628979948, + -0.6370010731436837, + -0.5984608639941343, + -0.5687086826635178, + -0.5479899301736653, + -0.5363434086652328, + -0.5336030139134442, + -0.5394041034774287, + -0.5531943595009665, + -0.5742488585162236, + -0.6016889612746513, + -0.6345045460500822, + -0.6715790311941481, + -0.7117165688425612, + -0.7536707430992128, + -0.7961740739105297, + -0.8379676129243627, + -0.8778299202200164, + -0.9146047307806128, + -0.9472266564085734, + -0.9747443214974487, + -0.9963403983165099, + -1.01134808752961, + -1.0192636805348216, + -1.019754939591269, + -1.012665137103707, + -0.9980127042292914, + -0.9759865484420711, + -0.9469372071158125, + -0.9113641068988766, + -0.869899294112872, + -0.8232880872533277, + -0.7723671767935624, + -0.7180407580773188, + -0.6612553286580434, + -0.602973810907498, + -0.5441496733829123, + -0.48570172004056844, + -0.4284901950730149, + -0.37329481350807814, + -0.3207952747302041, + -0.2715547491406086, + -0.22600674898301204, + -0.18444570495185655, + -0.1470214728492514, + -0.11373789174163763, + -0.0844554093979563, + -0.0588976849475417, + -0.03666197535990981, + -0.017233014136308004, + -1.524077193334442e-16 + ], + [ + 0, + 0.015715491921897022, + 0.031019305636535405, + 0.046702741842701276, + 0.06355047346974442, + 0.08231582865409935, + 0.10369686284112682, + 0.12831386649724247, + 0.1566889185882794, + 0.18922804393387382, + 0.2262064660904319, + 0.26775736821696633, + 0.3138644844310213, + 0.36435874573080324, + 0.41891910012515493, + 0.4770775188097447, + 0.5382280917784051, + 0.6016400099055066, + 0.666474128972434, + 0.7318027169163008, + 0.796631901148837, + 0.8599262602838098, + 0.9206349458831213, + 0.9777186764036181, + 1.0301769185369323, + 1.0770745613124342, + 1.1175673959794745, + 1.1509257396643777, + 1.176555582541387, + 1.1940166957764935, + 1.2030372094143946, + 1.2035242539353794, + 1.1955703543453609, + 1.1794553690450322, + 1.1556438748092164, + 1.1247780113032342, + 1.087665910897048, + 1.0452659493251317, + 0.9986671572526618, + 0.9490662294432884, + 0.8977416545665939, + 0.8460255625697602, + 0.7952739461069706, + 0.7468359562603952, + 0.702022999575068, + 0.6620783725590854, + 0.6281481609974555, + 0.6012541048607549, + 0.5822690858646852, + 0.5718958348831373, + 0.5706493818632707, + 0.5788436834279415, + 0.5965827650897122, + 0.6237566083209826, + 0.6600419002152944, + 0.7049076478705127, + 0.7576255437389148, + 0.8172848548454016, + 0.8828115007361298, + 0.9529908849210431, + 1.0264939548570888, + 1.1019058883734947, + 1.1777567417483925, + 1.2525533479358786, + 1.3248117238520358, + 1.3930892338760534, + 1.4560157630902386, + 1.5123231781088735, + 1.560872395029105, + 1.6006774320517678, + 1.6309258972408998, + 1.650995447928736, + 1.6604658553190172, + 1.6591264135187616, + 1.6469785439513025, + 1.6242335611399572, + 1.591305681392984, + 1.548800469148275, + 1.497499023893159, + 1.4383383110316954, + 1.3723881303932486, + 1.3008252940789724, + 1.224905649151023, + 1.145934628758788, + 1.065237046533206, + 0.9841268627470329, + 0.9038776465529433, + 0.8256944367305812, + 0.7506876643918619, + 0.6798497460261023, + 0.6140348855226715, + 0.5539425411586002, + 0.5001049200668178, + 0.4528787607555216, + 0.4124415563832885, + 0.37879226040147274, + 0.35175640462276575, + 0.330995450535007, + 0.31602009046130775, + 0.30620711854892296, + 0.3008194049330982, + 0.2990284318971389, + 0.29993879025878445, + 0.30261398902652703, + 0.3061029026712872, + 0.30946616881805583, + 0.31180185501797963, + 0.3122697363172032, + 0.31011356496800296, + 0.3046807687895482, + 0.29543908395164015, + 0.2819897095453907, + 0.2640766631334735, + 0.24159211619903082, + 0.21457759350053945, + 0.1832210281225408, + 0.1478497717566597, + 0.10891976472499867, + 0.06700116981206848, + 0.02276086558352492, + -0.023057723776652942, + -0.06965691604147918, + -0.11620857488459484, + -0.16187878962664476, + -0.2058527671531842, + -0.24735926635031197, + -0.2856939165824859, + -0.3202407898405948, + -0.3504916405151653, + -0.3760622861882009, + -0.3967056758949922, + -0.4123212771473107, + -0.42296050749658565, + -0.4288280381698213, + -0.4302789037663972, + -0.42781146047362884, + -0.42205634300173067, + -0.4137616747279892, + -0.4037748837313965, + -0.39302156699765817, + -0.3824819237968638, + -0.37316534506742416, + -0.3660837968851795, + -0.36222467142302617, + -0.3625237972773398, + -0.3678393021362682, + -0.37892700440837224, + -0.39641797697115055, + -0.42079887641856123, + -0.45239556627490723, + -0.4913604841695149, + -0.5376641128443029, + -0.5910908153008431, + -0.651239187831215, + -0.7175269737438252, + -0.7892004680319045, + -0.8653482318261796, + -0.9449188279888379, + -1.026742188317698, + -1.1095541310536332, + -1.1920234670173964, + -1.2727810657628658, + -1.35045020131415, + -1.4236774616751535, + -1.491163488280203, + -1.551692811385265, + -1.604162065133587, + -1.6476059012787299, + -1.6812199724921821, + -1.7043804235890698, + -1.7166594102596975, + -1.717836258039255, + -1.707903977030887, + -1.6870709578266871, + -1.6557577884770345, + -1.6145892484581232, + -1.5643816505536052, + -1.5061258125970776, + -1.440966045410381, + -1.370175638471757, + -1.2951294085350864, + -1.217273946554964, + -1.1380962531413257, + -1.0590914910349856, + -0.9817306038301156, + -0.9074285528702545, + -0.837513908850119, + -0.7732005015491609, + -0.715561781120516, + -0.6655084786898143, + -0.6237700742947797, + -0.5908804883732399, + -0.5671683113344471, + -0.552751776715303, + -0.5475385696960231, + -0.5512304471080677, + -0.5633325303330248, + -0.5831670214610589, + -0.609890988453062, + -0.6425177693719405, + -0.67994146133194, + -0.7209638886964237, + -0.7643233889392704, + -0.8087247148061198, + -0.852869328897657, + -0.8954853620493198, + -0.9353565199628241, + -0.9713492530776848, + -1.0024375518484214, + -1.027724792198962, + -1.0464621323653212, + -1.058063050677405, + -1.0621137118474189, + -1.0583789545676208, + -1.0468038030430167, + -1.0275105167556495, + -1.000791303497922, + -0.9670969277735678, + -0.9270215473950689, + -0.881284203017314, + -0.8307074661763395, + -0.776193819167123, + -0.7187003931439172, + -0.6592127278792277, + -0.5987182367943465, + -0.5381800637197599, + -0.47851200333636207, + -0.42055512580144405, + -0.36505669851300954, + -0.31265193555084186, + -0.26384902966180973, + -0.21901783466944377, + -0.17838247010420982, + -0.1420180171169456, + -0.10985136796354572, + -0.08166618324264975, + -0.057111804368834375, + -0.03571586617310518, + -0.01690025863584555, + -1.50759621388702e-16 + ], + [ + 0, + 0.01582552992859333, + 0.03161287935934787, + 0.04816599129908692, + 0.06626844202651479, + 0.08665866338760865, + 0.11000634340047011, + 0.13689064385950622, + 0.1677808273121538, + 0.20301982419089076, + 0.24281119556775246, + 0.28720985985358055, + 0.33611685498480337, + 0.3892783036663716, + 0.4462886406938211, + 0.5065980510016871, + 0.5695239576704311, + 0.6342662934401164, + 0.6999261900069293, + 0.7655276290420204, + 0.8300415197744664, + 0.8924116021467945, + 0.9515815236786543, + 1.0065224035863138, + 1.056260180321483, + 1.0999020390026537, + 1.136661233263815, + 1.16587965144386, + 1.1870475289555222, + 1.199819775861474, + 1.2040284695194228, + 1.1996911546660454, + 1.1870146952243217, + 1.1663945309338861, + 1.1384093049355473, + 1.1038109428943286, + 1.0635103772837053, + 1.0185592192692927, + 0.9701277825135635, + 0.9194799556305018, + 0.8679455006357328, + 0.8168904215357103, + 0.767686098488397, + 0.7216779174367841, + 0.680154141867493, + 0.6443157719167475, + 0.6152481164202381, + 0.5938947661147991, + 0.5810346019199274, + 0.5772624023446313, + 0.5829735302543975, + 0.5983530835138117, + 0.6233697887075152, + 0.6577748047895199, + 0.7011054868481511, + 0.7526940420396321, + 0.8116808930151742, + 0.8770324516902236, + 0.9475629007241155, + 1.0219594841683055, + 1.098810724743033, + 1.1766369151667002, + 1.2539221765992121, + 1.3291473398964389, + 1.400822885918465, + 1.4675211800614951, + 1.5279072535143763, + 1.5807674190474539, + 1.6250350615556326, + 1.6598130118126204, + 1.6843919942761183, + 1.6982647342957369, + 1.7011354144026478, + 1.6929242809500176, + 1.6737673184983308, + 1.6440110271637034, + 1.6042024547959215, + 1.5550747484844325, + 1.4975285957654665, + 1.432610022452421, + 1.3614850988981158, + 1.28541217767528, + 1.2057123414251099, + 1.1237387786491781, + 1.0408458265983718, + 0.9583584236706659, + 0.8775426988418559, + 0.7995783930416548, + 0.7255337579096295, + 0.6563435122940954, + 0.5927903578470428, + 0.5354904641153265, + 0.4848832329194762, + 0.44122554406716724, + 0.40459057226029815, + 0.37487115121835085, + 0.3517875483864831, + 0.3348994049188134, + 0.3236214936148416, + 0.3172428546570782, + 0.3149487876339633, + 0.31584511042640306, + 0.3189840427415638, + 0.32339103566606564, + 0.3280918494431791, + 0.3321391801830078, + 0.33463815237665917, + 0.33477002744869494, + 0.33181352826097293, + 0.3251632441822627, + 0.3143446593943188, + 0.2990254365169167, + 0.2790226861199273, + 0.25430605774380277, + 0.22499659700275024, + 0.19136142343478799, + 0.15380439220140138, + 0.11285300678255188, + 0.06914194682929334, + 0.023393662873855272, + -0.023603434556367715, + -0.07101860163541582, + -0.11800356690212921, + -0.16371784835896858, + -0.20735390093599643, + -0.2481614172046848, + -0.2854701255796956, + -0.31871046846499984, + -0.3474315969246578, + -0.37131618712790504, + -0.3901916653054438, + -0.40403752020716793, + -0.4129884827463993, + -0.41733345911265823, + -0.4175102134431899, + -0.4140959063882965, + -0.40779370379746516, + -0.3994157725583361, + -0.3898630757282577, + -0.38010246408736037, + -0.3711416339415652, + -0.3640025795469361, + -0.3596942113983309, + -0.35918483770009413, + -0.3633752149078595, + -0.3730728640283832, + -0.38896832256265507, + -0.41161395819068336, + -0.44140591056420714, + -0.4785696533364251, + -0.5231495816209214, + -0.5750029325612502, + -0.6337982410022086, + -0.6990184209869076, + -0.7699684497081883, + -0.8457875164430896, + -0.9254653877261848, + -1.0078626343385984, + -1.0917342682396156, + -1.175756250783523, + -1.258554259624, + -1.3387340424768202, + -1.41491264289454, + -1.4857497575120204, + -1.5499784765314997, + -1.606434669770576, + -1.6540843091861017, + -1.6920480647572052, + -1.7196225728785852, + -1.7362978534942042, + -1.7417704422391784, + -1.7359519046799605, + -1.7189725089079202, + -1.6911799475992977, + -1.6531331184124713, + -1.6055910893845782, + -1.5494974909432397, + -1.485960685461916, + -1.4162301662918872, + -1.3416697284343997, + -1.2637280302701177, + -1.1839072281535945, + -1.1037304116849034, + -1.024708595967433, + -0.9483080374558799, + -0.8759186318445152, + -0.8088241260459481, + -0.7481748323154176, + -0.6949634720657505, + -0.6500047013778096, + -0.6139187814925051, + -0.5871197578456582, + -0.5698084029174226, + -0.5619700639616015, + -0.5633774393475994, + -0.5735981896530794, + -0.5920071746553912, + -0.6178029977837911, + -0.6500284380749811, + -0.6875942586821224, + -0.7293058027202406, + -0.7738917235706618, + -0.8200341492329452, + -0.8663995500245087, + -0.9116695665791198, + -0.9545710609355125, + -0.9939046773379056, + -1.0285712405492629, + -1.0575953769370956, + -1.080145815861915, + -1.0955519141492698, + -1.1033160425094235, + -1.103121577273055, + -1.0948363511224555, + -1.078511529863577, + -1.0543759958830448, + -1.0228264299450402, + -0.9844133886554661, + -0.939823772643771, + -0.8898601678785336, + -0.8354176173969664, + -0.7774584412626674, + -0.7169857673032749, + -0.6550164630503551, + -0.5925541696616633, + -0.5305631312434304, + -0.4699434881435662, + -0.41150866112907447, + -0.35596539598517124, + -0.3038969664647721, + -0.2557499495142782, + -0.21182489245240138, + -0.17227108968460061, + -0.13708557919170022, + -0.10611635916139425, + -0.0790697155198746, + -0.055521444542536845, + -0.034931653873867506, + -0.01666273271673751, + -1.5011548028462236e-16 + ], + [ + 0, + 0.01606234801083481, + 0.032473494337788976, + 0.05004272409203558, + 0.06954491896377542, + 0.0916959498985329, + 0.11712964005061045, + 0.14637692262216523, + 0.17984776197188534, + 0.21781633548175902, + 0.260409889889464, + 0.30760159123882325, + 0.35920758465596203, + 0.41488837142214974, + 0.47415449903212664, + 0.5363764479251647, + 0.6007984891903332, + 0.6665561835506956, + 0.732697095965237, + 0.7982042146963287, + 0.8620214908595387, + 0.9230808561726673, + 0.9803300343619298, + 1.032760436575879, + 1.0794344238848954, + 1.119511230743805, + 1.1522708719534291, + 1.177135401512769, + 1.1936869537149404, + 1.2016820734102842, + 1.201061931674737, + 1.191958122994066, + 1.1746938480503923, + 1.1497803996147005, + 1.1179089851042971, + 1.0799380351821162, + 1.0368762604792108, + 0.9898618253074047, + 0.940138105430955, + 0.8890265841260744, + 0.8378975146851827, + 0.7881390363513664, + 0.7411254728997316, + 0.6981855676251388, + 0.6605714146938771, + 0.6294288344650079, + 0.6057699097375949, + 0.5904483516361536, + 0.5841382991464222, + 0.5873170767019992, + 0.6002523416136774, + 0.6229939497642388, + 0.6553707563662986, + 0.6969924514099699, + 0.7472564095605871, + 0.8053594146237569, + 0.8703140021924759, + 0.9409690535714772, + 1.0160341722355513, + 1.0941072834088021, + 1.1737048200658327, + 1.2532937966423452, + 1.331325026516893, + 1.406266711992093, + 1.4766376267294048, + 1.541039120589047, + 1.5981852053487866, + 1.6469300261218605, + 1.686292086328657, + 1.7154746722546035, + 1.733882014633563, + 1.741130827094935, + 1.7370569721990508, + 1.7217171224491687, + 1.6953854032602835, + 1.6585451244672613, + 1.6118758236529585, + 1.5562359555312686, + 1.4926416641357618, + 1.4222421661578892, + 1.34629235223806, + 1.2661232764527364, + 1.183111251148197, + 1.0986462935429155, + 1.0141006814880573, + 0.9307983682235534, + 0.8499859801364714, + 0.772806078110155, + 0.7002733031699748, + 0.6332539523122385, + 0.5724494425396519, + 0.5183840224310998, + 0.47139698351964804, + 0.4316395110161617, + 0.3990761978070076, + 0.37349113004801177, + 0.35449833994156926, + 0.34155631421003174, + 0.3339861480097604, + 0.330992845997423, + 0.33168919712164247, + 0.33512158930128366, + 0.34029708592794283, + 0.3462110591488917, + 0.3518746657698266, + 0.35634146053836896, + 0.3587324682526571, + 0.35825907986355504, + 0.35424319735819926, + 0.3461341261846101, + 0.3335218004026186, + 0.31614602241696993, + 0.2939015036016526, + 0.2668386017061938, + 0.235159762864995, + 0.19921178747457868, + 0.1594741473407411, + 0.11654368359393176, + 0.07111610834700713, + 0.02396481556390186, + -0.024082423962200773, + -0.07216825400968946, + -0.11943134278011683, + -0.16503212202225898, + -0.20817796270486022, + -0.24814710876514173, + -0.2843107221505644, + -0.3161524407050696, + -0.34328491421207397, + -0.36546286148946994, + -0.38259228088233815, + -0.3947355455619789, + -0.4021122212163055, + -0.4050955543261464, + -0.4042046914694843, + -0.4000928011417093, + -0.39353137661141546, + -0.38539109863218834, + -0.3766197278501857, + -0.3682175761632324, + -0.36121117206519304, + -0.3566257854536065, + -0.3554575111746346, + -0.358645626827539, + -0.3670459385892002, + -0.3814058090356059, + -0.402341523570395, + -0.43031859799968225, + -0.4656355603158067, + -0.508411656556145, + -0.5585788357184872, + -0.615878264469403, + -0.6798615113426786, + -0.7498964250324519, + -0.825177615088327, + -0.9047413287021772, + -0.9874844071883218, + -1.072186902943639, + -1.1575378447018647, + -1.2421635580979395, + -1.324657881969146, + -1.4036135701276422, + -1.4776541348428063, + -1.5454653728477763, + -1.6058258177647837, + -1.6576353844050782, + -1.6999415099621011, + -1.7319621537574603, + -1.7531050895729923, + -1.7629830109734062, + -1.761424068311132, + -1.7484775639300634, + -1.7244146468325758, + -1.6897239669556097, + -1.64510236932342, + -1.5914408267794558, + -1.529805923859384, + -1.4614173108724022, + -1.387621643807927, + -1.3098636099208705, + -1.2296547087126994, + -1.1485405118102472, + -1.0680671616354795, + -0.9897478868691963, + -0.9150303120982153, + -0.845265319716979, + -0.7816781846053383, + -0.7253426472460482, + -0.6771585201228242, + -0.6378333371872592, + -0.6078684589829902, + -0.5875499390458417, + -0.5769443430751555, + -0.5758995938821445, + -0.5840507951582795, + -0.6008308685957646, + -0.6254857247189403, + -0.657093580725807, + -0.6945879412900644, + -0.7367836729909963, + -0.7824055318760431, + -0.8301184483234801, + -0.8785588351724892, + -0.926366164913454, + -0.972214060025703, + -1.0148401573002834, + -1.053074041724227, + -1.085862597320139, + -1.1122921899011688, + -1.131607178300748, + -1.1432243442105552, + -1.1467429339587176, + -1.1419501158002874, + -1.1288217708221646, + -1.1075186515332727, + -1.0783780567372834, + -1.041901281531292, + -0.998737204514072, + -0.9496624679768281, + -0.8955587886859143, + -0.8373880048492585, + -0.7761655173342622, + -0.7129328189130245, + -0.6487298234100806, + -0.5845677067193077, + -0.5214029537917745, + -0.46011327037547883, + -0.4014759664477074, + -0.346149351269202, + -0.2946575995328348, + -0.2473794562382829, + -0.20454104704116677, + -0.16621295346662412, + -0.13231160126881109, + -0.10260489817575237, + -0.07672194711989144, + -0.054166555604315936, + -0.03433416375844196, + -0.016531725372861288, + -1.5056814338436878e-16 + ], + [ + 0, + 0.016433212063026816, + 0.03361215470067645, + 0.05234386645400184, + 0.0733867818627306, + 0.09742653112967131, + 0.12505370090181042, + 0.15674416035443833, + 0.19284249081574362, + 0.23354897731059446, + 0.2789105286474373, + 0.32881579133621286, + 0.3829946142659009, + 0.4410219084249645, + 0.5023258318644769, + 0.5662001174694535, + 0.6318202527733846, + 0.6982631197743205, + 0.76452961106494, + 0.8295696589126729, + 0.8923090482612437, + 0.9516773346658969, + 1.006636155224014, + 1.0562072054999476, + 1.0994991587001401, + 1.135732824906773, + 1.1642638875420999, + 1.1846026104817535, + 1.1964299810102226, + 1.199609839371233, + 1.194196642917935, + 1.1804386194242695, + 1.1587761773542, + 1.129835558001708, + 1.094417832510904, + 1.0534834629302827, + 1.008132757758172, + 0.9595826561211263, + 0.9091403681997343, + 0.8581744804304116, + 0.8080842003266079, + 0.760267465794633, + 0.7160886762831901, + 0.6768468171484111, + 0.6437447438376097, + 0.6178603689584218, + 0.6001204535318886, + 0.591277644704638, + 0.5918913273198506, + 0.6023127678148599, + 0.6226749280693182, + 0.6528872165124106, + 0.6926353266872342, + 0.7413861924123929, + 0.7983979666226333, + 0.862734810887448, + 0.9332861674290901, + 1.0087900780019041, + 1.087860016878892, + 1.1690146207931578, + 1.2507096290650592, + 1.3313712940135893, + 1.4094304864024845, + 1.4833567039725826, + 1.5516911934704296, + 1.6130784179408908, + 1.666295140885376, + 1.71027645622197, + 1.7441381664157947, + 1.7671949988805646, + 1.7789742506395134, + 1.7792245608335175, + 1.7679196272981608, + 1.7452568042515781, + 1.7116506401932619, + 1.6677215354356112, + 1.6142798143458754, + 1.5523056155554995, + 1.482925101473345, + 1.4073835740469374, + 1.3270161547901669, + 1.2432167419351625, + 1.1574059948711393, + 1.0709991149377844, + 0.9853741917339184, + 0.9018418654359787, + 0.8216170187098669, + 0.7457931576071738, + 0.6753200707499663, + 0.6109852719042589, + 0.5533996348424752, + 0.502987523613194, + 0.45998160861734766, + 0.4244224420446366, + 0.3961627481588667, + 0.37487626756646336, + 0.36007088283962285, + 0.3511056484548845, + 0.3472112535208443, + 0.3475133635241082, + 0.3510582193294703, + 0.35683981957819383, + 0.3638279776869734, + 0.37099652767869373, + 0.3773509544436086, + 0.3819547436458538, + 0.383953783809613, + 0.38259820715375936, + 0.37726112508926546, + 0.3674537971646236, + 0.35283686651953744, + 0.333227398182332, + 0.308601566195454, + 0.2790929487936851, + 0.24498650482188208, + 0.20670841637941817, + 0.16481208949054882, + 0.11996070372542149, + 0.07290679063301769, + 0.024469397350732464, + -0.024490546104157157, + -0.07309599114513968, + -0.12047997269761608, + -0.16581154393246048, + -0.2083207453615317, + -0.24732193477475836, + -0.2822348465871054, + -0.31260280751068775, + -0.33810760860203437, + -0.3585806198131239, + -0.37400983002632887, + -0.38454260073367486, + -0.390484032373969, + -0.3922909560660805, + -0.39056167719620605, + -0.38602170815150144, + -0.37950583263070814, + -0.37193694073258843, + -0.36430215995943066, + -0.35762688017824423, + -0.35294732858264133, + -0.35128239229047054, + -0.3536054103016534, + -0.36081666246935884, + -0.3737172707013096, + -0.39298519706158996, + -0.419153975495278, + -0.4525947496935326, + -0.4935021107090166, + -0.5418841362447108, + -0.5975569313203929, + -0.6601438597850051, + -0.7290795406099159, + -0.8036185649259062, + -0.882848772280997, + -0.9657088105169204, + -1.051009595831503, + -1.1374591907056013, + -1.2236905299048642, + -1.3082913509186467, + -1.3898356268391925, + -1.4669157583024834, + -1.5381747577806728, + -1.6023376548633317, + -1.6582413653597154, + -1.7048622998014702, + -1.7413410374709326, + -1.7670034592308403, + -1.7813778145829648, + -1.7842072935593811, + -1.7754577799516247, + -1.7553205764432858, + -1.724210011660198, + -1.6827559610829381, + -1.6317914352083545, + -1.5723355063380817, + -1.5055719570325978, + -1.4328241358715912, + -1.3555265971977808, + -1.2751941787659644, + -1.1933892327827043, + -1.1116877701987895, + -1.0316453042204767, + -0.9547631861985181, + -0.8824562151597309, + -0.816022271556677, + -0.7566146770778864, + -0.7052179167773445, + -0.6626272789526312, + -0.629432874103581, + -0.6060083892390582, + -0.5925048203361142, + -0.5888493066654618, + -0.5947490688866295, + -0.6097003312559859, + -0.6330019899422811, + -0.6637736771860193, + -0.7009777675964728, + -0.7434447807587193, + -0.7899015557463606, + -0.8390015099908408, + -0.8893562487507277, + -0.9395677632396674, + -0.9882604459506709, + -1.0341121610370732, + -1.0758836354923484, + -1.1124454825707828, + -1.1428022312298707, + -1.166112812766038, + -1.181707046302396, + -1.1890977660962252, + -1.187988343227564, + -1.1782754693718416, + -1.160047188181734, + -1.1335762773784437, + -1.0993091990658375, + -1.0578509442028061, + -1.0099461969254933, + -0.9564573330489772, + -0.8983398424269251, + -0.8366158250727178, + -0.772346254592419, + -0.7066027285112851, + -0.6404394328952379, + -0.5748660381371576, + -0.5108222142139771, + -0.4491544078935643, + -0.3905954624803914, + -0.33574758433560126, + -0.2850690715501615, + -0.2388651210589904, + -0.19728292368240732, + -0.16031114478193542, + -0.12778377425513607, + -0.09938821635441955, + -0.07467738016182161, + -0.053085428256424615, + -0.03394674678213868, + -0.016517617141548094, + -1.5220054590144853e-16 + ], + [ + 0, + 0.016944081643460306, + 0.035037054641874864, + 0.05507590779524772, + 0.07779480047562612, + 0.10384150903814413, + 0.13375622006001625, + 0.16795324784313595, + 0.20670617823034318, + 0.25013685240670236, + 0.29820850521615305, + 0.35072326512422186, + 0.4073241100126386, + 0.4675012573573943, + 0.5306028519443104, + 0.5958497020392981, + 0.6623537087020097, + 0.7291395354121537, + 0.7951689788529626, + 0.8593674287743976, + 0.9206517472148514, + 0.9779588564894108, + 1.0302743023320524, + 1.0766600540399844, + 1.1162808175802421, + 1.1484281700846477, + 1.172541874222339, + 1.1882277974007458, + 1.1952719419951914, + 1.193650186860506, + 1.1835334449275174, + 1.1652880541584438, + 1.139471336750295, + 1.1068223813220999, + 1.068248221925763, + 1.024805703118718, + 0.9776794291518311, + 0.9281562948374237, + 0.877597183373819, + 0.8274064901051219, + 0.7790001890209337, + 0.7337731992719705, + 0.6930668310417707, + 0.658137093172157, + 0.6301246288593704, + 0.610027010859137, + 0.5986740747671837, + 0.5967068993263214, + 0.604560958016347, + 0.6224538684467893, + 0.650378057657081, + 0.688098544962424, + 0.7351559222963374, + 0.7908744880544808, + 0.8543753672599435, + 0.9245943314534387, + 1.0003039189792395, + 1.080139353044462, + 1.162627663601542, + 1.246219341976249, + 1.3293217961244017, + 1.410333830944722, + 1.4876803532680432, + 1.5598464955929725, + 1.6254103664826571, + 1.6830736684390113, + 1.7316894752258922, + 1.7702865287708542, + 1.7980894992699334, + 1.8145347489105967, + 1.8192812473490827, + 1.812216403098503, + 1.7934566964705656, + 1.7633431237025776, + 1.7224315853699956, + 1.6714784721267413, + 1.611421814314362, + 1.5433584662821902, + 1.468517888838691, + 1.388233171875356, + 1.3039100019812166, + 1.2169943253029112, + 1.1289394829358959, + 1.0411736041446236, + 0.9550680315607486, + 0.8719075225275983, + 0.7928629227388173, + 0.7189669434948776, + 0.6510935939202682, + 0.5899417263649578, + 0.536023049294123, + 0.48965484985024754, + 0.4509575507484844, + 0.41985710616403277, + 0.396092121768395, + 0.3792254680296503, + 0.3686600461776487, + 0.3636582655518693, + 0.363364701870674, + 0.36683133046715316, + 0.37304466856461627, + 0.3809541176591816, + 0.3895007720571916, + 0.39764595314950213, + 0.4043987411973664, + 0.40884180689310656, + 0.4101548929244527, + 0.40763535995949696, + 0.4007152902215921, + 0.3889747331199058, + 0.3721507789104938, + 0.35014225550118105, + 0.32300995750984834, + 0.29097243265084544, + 0.2543974655230016, + 0.2137895099980435, + 0.1697734258534661, + 0.12307497042309767, + 0.07449857945266626, + 0.024903040943974546, + -0.0248242802035064, + -0.0737939718509164, + -0.1211411444463203, + -0.166051326005672, + -0.20778498472179482, + -0.24570001708752476, + -0.2792715918638444, + -0.3081088083769996, + -0.3319677097703871, + -0.3507602858942033, + -0.364559204113899, + -0.3735981168405633, + -0.37826750923913965, + -0.3791061664537809, + -0.3767884538693835, + -0.37210771350964195, + -0.36595618187175877, + -0.359301926715018, + -0.35316338020040755, + -0.3485821112732051, + -0.3465945295994851, + -0.34820324542070913, + -0.354348823521096, + -0.3658826647083956, + -0.383541724853852, + -0.40792574015013916, + -0.4394775688075856, + -0.4784671853281259, + -0.5249797755760781, + -0.5789082812572782, + -0.6399506335720786, + -0.7076118004076943, + -0.7812106523352296, + -0.8598915328289628, + -0.9426403005079914, + -1.0283044987423435, + -1.11561720347528, + -1.2032240062068784, + -1.2897125081216427, + -1.3736436353690524, + -1.4535840361989651, + -1.5281387892826745, + -1.5959836399441871, + -1.6558959875515717, + -1.7067838728702154, + -1.7477122581845719, + -1.7779259544220551, + -1.7968686269007343, + -1.80419740281496, + -1.7997927069627147, + -1.7837630650026204, + -1.756444732969568, + -1.7183961349709822, + -1.6703872149300787, + -1.6133839299155333, + -1.5485282290282658, + -1.4771139701612113, + -1.400559324557905, + -1.3203763035828153, + -1.238138111412699, + -1.1554450797670082, + -1.0738899750325945, + -0.995023483363917, + -0.9203206751809458, + -0.8511492270425692, + -0.7887401367165975, + -0.734161607428213, + -0.6882967012100321, + -0.6518252708581203, + -0.6252105774291669, + -0.6086908880009825, + -0.6022762293016624, + -0.6057503496998241, + -0.6186778179416226, + -0.6404160649436026, + -0.6701320578745288, + -0.7068231865283542, + -0.7493418432526827, + -0.7964230918392174, + -0.846714749871892, + -0.8988091547612059, + -0.9512758473547395, + -1.002694389445471, + -1.0516865330799487, + -1.096946980204185, + -1.1372720103135117, + -1.1715853103764091, + -1.1989604139355268, + -1.2186392431131956, + -1.2300463460786362, + -1.232798530893129, + -1.2267097118307564, + -1.2117909034059782, + -1.1882454174647743, + -1.1564594368341374, + -1.1169882522528802, + -1.0705385548308604, + -1.017947271507421, + -0.9601575135686944, + -0.8981922762226492, + -0.8331265788746723, + -0.7660587698591207, + -0.6980817351675233, + -0.6302547478346447, + -0.5635766732291594, + -0.49896120613866285, + -0.4372147592791636, + -0.3790175511582619, + -0.32490835592376066, + -0.2752732811182901, + -0.23033883360066904, + -0.1901694219720752, + -0.15466932849882806, + -0.12358906767492647, + -0.09653593514676924, + -0.07298844259560183, + -0.05231423406988443, + -0.03379098970558927, + -0.016629746025206955, + -1.5508458470450386e-16 + ], + [ + 0, + 0.01759951738810651, + 0.03675343027048783, + 0.05824073784591546, + 0.08276350242292617, + 0.11092418301115346, + 0.14320569227732646, + 0.17995472130227302, + 0.22136879214457258, + 0.2674874018602915, + 0.31818751578088683, + 0.3731835551880642, + 0.43203190789407436, + 0.49413987259014763, + 0.5587788321445578, + 0.6251013402492777, + 0.6921617027447864, + 0.7589395422206971, + 0.8243657544637448, + 0.8873502000570826, + 0.9468104256112151, + 1.001700678002922, + 1.0510404624475969, + 1.093941901602475, + 1.1296351780896314, + 1.1574913862635405, + 1.177042179695619, + 1.18799567724239, + 1.1902481808426661, + 1.183891360139906, + 1.1692146701396224, + 1.1467028856455126, + 1.1170287572625308, + 1.081040915307191, + 1.039747267002145, + 0.9942942458862781, + 0.9459423776053879, + 0.8960387205241472, + 0.8459868205455321, + 0.7972148850923162, + 0.7511429297259653, + 0.7091496810989593, + 0.6725400310546916, + 0.6425138283725066, + 0.6201367670513132, + 0.6063140837567378, + 0.6017677132089079, + 0.6070174703805751, + 0.6223667343266464, + 0.6478930025458047, + 0.6834435695479247, + 0.7286364615653251, + 0.7828666340633782, + 0.8453173129294014, + 0.914976237016991, + 0.9906564421049565, + 1.0710211171710537, + 1.1546119658512615, + 1.2398804214551593, + 1.3252209950071905, + 1.409005984171178, + 1.489620737858015, + 1.5654986576265515, + 1.6351551230038828, + 1.697219553429896, + 1.7504648640493123, + 1.7938336349464794, + 1.8264603921209117, + 1.8476894916127142, + 1.8570882034326435, + 1.8544547067616064, + 1.8398208294565297, + 1.8134494902678213, + 1.7758269282818566, + 1.727649927878624, + 1.6698083659289156, + 1.6033635181708565, + 1.529522661030948, + 1.4496105911898682, + 1.3650387558674089, + 1.2772727404239645, + 1.187798895179344, + 1.0980908995173657, + 1.0095770580325654, + 0.923609100819481, + 0.8414332186172208, + 0.7641640044745126, + 0.6927618983987006, + 0.6280146419965541, + 0.5705231486540087, + 0.5206920838759113, + 0.47872533278400276, + 0.44462641037957873, + 0.4182037480310203, + 0.39908066977203677, + 0.38670975735708335, + 0.38039119644242164, + 0.37929460036443585, + 0.3824837251194862, + 0.38894342133080495, + 0.39760811785774164, + 0.40739109848169586, + 0.4172138185631332, + 0.42603451300900613, + 0.4328753701494776, + 0.4368475875566102, + 0.43717368435278886, + 0.4332065186343652, + 0.4244445463714175, + 0.4105429572935852, + 0.3913204313083887, + 0.36676137317733737, + 0.33701360060113966, + 0.30238157856608905, + 0.26331540780338114, + 0.22039588460767656, + 0.17431605029051628, + 0.1258597386611631, + 0.0758777068619552, + 0.025261996700504635, + -0.025080781237820565, + -0.0742565210807652, + -0.12141032430761152, + -0.16575211295230205, + -0.20658046312133643, + -0.24330401465176693, + -0.2754598753872534, + -0.302728516197309, + -0.3249447435452014, + -0.3421044378326636, + -0.35436685535190304, + -0.36205240668653954, + -0.36563594191374504, + -0.3657356899949034, + -0.3630981133350837, + -0.3585790457593301, + -0.35312158036809593, + -0.3477312603910092, + -0.34344919903996873, + -0.3413238115943594, + -0.34238188304769074, + -0.34759971654821714, + -0.35787511097257196, + -0.3740009001474157, + -0.39664075181979563, + -0.42630787227861827, + -0.4633471938001484, + -0.5079215384984178, + -0.5600021557505849, + -0.6193639235056095, + -0.685585389106315, + -0.7580537055948757, + -0.8359743977954509, + -0.9183857717975574, + -1.0041776648042133, + -1.0921141225714088, + -1.1808594915967108, + -1.2690073253270824, + -1.355111430166156, + -1.4377183198335, + -1.5154003071291926, + -1.5867884414167541, + -1.65060449872563, + -1.705691249383682, + -1.7510402651341064, + -1.785816582913483, + -1.809379614561731, + -1.8212997789761245, + -1.8213704335102507, + -1.8096147923296948, + -1.7862876382797672, + -1.751871758707917, + -1.7070691615979703, + -1.652787253244653, + -1.590120279476886, + -1.520326446175498, + -1.444801238744233, + -1.3650475517389427, + -1.282643316796977, + -1.199207377451546, + -1.1163644018818537, + -1.0357096480964427, + -0.9587743998966997, + -0.8869928761227409, + -0.8216713805284686, + -0.7639604060242744, + -0.7148303362727015, + -0.6750513014525408, + -0.6451776455248988, + -0.6255373519701366, + -0.6162266564119636, + -0.6171099506971112, + -0.6278249568766268, + -0.6477930242110185, + -0.6762342808468879, + -0.7121872571401122, + -0.7545324925123333, + -0.8020195447671291, + -0.8532967422020524, + -0.9069429565189108, + -0.9615006299410613, + -1.015509264138744, + -1.0675385721231183, + -1.1162205073011182, + -1.1602794160113803, + -1.19855961024146, + -1.2300497245655044, + -1.2539033039312553, + -1.2694551646845964, + -1.2762331777470484, + -1.2739652374940946, + -1.262581299763307, + -1.2422104945697938, + -1.213173440493435, + -1.1759700053231221, + -1.1312628684942667, + -1.079857342405617, + -1.0226779993581256, + -0.9607427264317296, + -0.8951348902704136, + -0.8269743360468972, + -0.7573879688266016, + -0.6874806706067519, + -0.6183072924035808, + -0.5508464283053578, + -0.48597662827080856, + -0.42445563994129715, + -0.36690318856833143, + -0.3137877104163353, + -0.26541735107710623, + -0.22193542867070806, + -0.18332044573681275, + -0.1493906156837817, + -0.11981275294347293, + -0.09411526342708769, + -0.07170486633234507, + -0.051886582476702886, + -0.03388644054155227, + -0.016876283018268573, + -1.5928009826931165e-16 + ], + [ + 0, + 0.01840260258950482, + 0.038763442130230766, + 0.06183553250324113, + 0.08828110629297058, + 0.1186500741353602, + 0.15336157074376852, + 0.19268909294919037, + 0.23674964210939203, + 0.28549717954637704, + 0.33872059188494924, + 0.39604624611452977, + 0.456945094844103, + 0.5207441735892294, + 0.5866422170284151, + 0.6537290129112993, + 0.7210080134471216, + 0.7874216370700121, + 0.8518786206931088, + 0.9132827257996288, + 0.9705620624497902, + 1.0226982745453808, + 1.0687548280632293, + 1.1079036615413729, + 1.1394494944928653, + 1.1628511437755755, + 1.1777392689542625, + 1.1839300536268753, + 1.1814344284467393, + 1.1704625507276092, + 1.151423372376172, + 1.1249192495650853, + 1.0917356710211175, + 1.0528263039880514, + 1.0092936747879648, + 0.9623659115029942, + 0.9133700768622675, + 0.8637027074173913, + 0.8147982483030081, + 0.7680961294459271, + 0.7250072675549688, + 0.6868807975863525, + 0.6549718370989644, + 0.6304110669371304, + 0.6141768724389958, + 0.6070707317755876, + 0.6096964634430512, + 0.622443855143326, + 0.645477093459284, + 0.6787283003463727, + 0.7218963612749647, + 0.7744511038128243, + 0.8356427576059031, + 0.9045165002163873, + 0.9799317711992755, + 1.0605859221272553, + 1.1450416658143179, + 1.231757696299616, + 1.319121774481794, + 1.4054855145212684, + 1.4892000647217496, + 1.5686518545815262, + 1.6422975776142965, + 1.708697597435368, + 1.7665470020592764, + 1.8147035874481774, + 1.852212124719221, + 1.8783243542735253, + 1.8925142522807687, + 1.8944882279482862, + 1.8841900310646216, + 1.8618002754819338, + 1.8277306124135269, + 1.7826127145490724, + 1.7272823549373453, + 1.6627589803668432, + 1.5902212847801078, + 1.5109793815276762, + 1.4264442517532752, + 1.3380952080200796, + 1.2474461559679513, + 1.1560114613105639, + 1.0652722342894099, + 0.9766438287343145, + 0.8914453185597498, + 0.8108716617509956, + 0.7359691920148429, + 0.6676149930560367, + 0.6065006120370731, + 0.553120459650916, + 0.5077651271082507, + 0.4705197281297682, + 0.44126724977536047, + 0.4196967727155694, + 0.4053163024031421, + 0.39746984047297956, + 0.39535822334508636, + 0.39806316493635596, + 0.40457386480103946, + 0.4138154837494412, + 0.4246787474623893, + 0.4360499158030543, + 0.44684035193687244, + 0.4560149410330508, + 0.462618642785285, + 0.46580051433379793, + 0.4648346090296652, + 0.4591372400788808, + 0.4482801942955425, + 0.43199958752687584, + 0.4102001670835435, + 0.38295498483051105, + 0.3505004844704716, + 0.3132271649525483, + 0.27166609587364365, + 0.2264716673342367, + 0.17840105327820696, + 0.12829095145560174, + 0.07703223268218878, + 0.02554318528238138, + -0.0252579238429574, + -0.07448023307538162, + -0.12128687837987397, + -0.16492007844273626, + -0.2047240363038572, + -0.24016503779188572, + -0.27084819967656243, + -0.2965304071769807, + -0.31712907911544386, + -0.33272650708975043, + -0.3435696298190607, + -0.3500652223958979, + -0.35277059954728585, + -0.35238004914658283, + -0.34970732415208106, + -0.34566462503433065, + -0.3412385979453426, + -0.33746395399864704, + -0.3353953800138089, + -0.33607845925350643, + -0.34052035078594217, + -0.34966098733156326, + -0.3643455434642956, + -0.3852988989780376, + -0.4131027767213129, + -0.44817617133208015, + -0.490759606592746, + -0.5409036664934576, + -0.5984621408130445, + -0.663090012670172, + -0.7342463958635578, + -0.8112024068732709, + -0.8930538331883108, + -0.9787383392255071, + -1.0670568365151294, + -1.1566985389157391, + -1.2462691290424992, + -1.334321381231195, + -1.4193875212627263, + -1.500012555400942, + -1.5747877722845878, + -1.642383611636339, + -1.7015811039049398, + -1.7513011146494142, + -1.7906306760337627, + -1.8188457540866412, + -1.835429882813846, + -1.840088192852092, + -1.8327564707886912, + -1.8136050029159547, + -1.7830370811838145, + -1.7416821764413626, + -1.690383911613618, + -1.6301830921302167, + -1.5622961696615736, + -1.4880896251207758, + -1.4090508552660015, + -1.326756231678122, + -1.24283706932104, + -1.1589442926385318, + -1.0767126189535874, + -0.9977250910304114, + -0.9234787827334573, + -0.8553524739611669, + -0.7945770441176252, + -0.7422092684567383, + -0.6991096202738873, + -0.6659245861149716, + -0.6430738932605331, + -0.6307429313566817, + -0.6288805260689109, + -0.6372020950529949, + -0.6551980884783828, + -0.6821474909214419, + -0.7171360417186464, + -0.7590787197403022, + -0.8067459387061684, + -0.8587928130275868, + -0.9137907837987352, + -0.9702608416544933, + -1.0267075490145758, + -1.081653049532109, + -1.133670257667454, + -1.181414446035322, + -1.2236524918628247, + -1.2592891054198545, + -1.2873894410758453, + -1.3071975837354777, + -1.3181505074980981, + -1.319887216868314, + -1.312252900888942, + -1.2952980541868615, + -1.2692726430499766, + -1.2346155162168047, + -1.1919393760568753, + -1.1420117333928281, + -1.0857323657223004, + -1.0241078816785343, + -0.9582240622015028, + -0.889216699443652, + -0.818241686701969, + -0.7464451259055143, + -0.6749342131254057, + -0.6047496374247238, + -0.5368401848182581, + -0.4720401783131831, + -0.4110503085283059, + -0.35442231920690037, + -0.30254791035181317, + -0.25565211130873944, + -0.21379125970800447, + -0.1768556026976962, + -0.14457641738429933, + -0.11653743086126614, + -0.0921902095923181, + -0.07087308601396637, + -0.051833099597667, + -0.03425035254737362, + -0.017264118740909922, + -1.6483396539325373e-16 + ], + [ + 0, + 0.019354879975317565, + 0.041066090044411835, + 0.06585269020662393, + 0.09432952365059122, + 0.1269870360174507, + 0.1641745274235019, + 0.20608729759464028, + 0.2527580435251474, + 0.3040527587693358, + 0.3596712665969465, + 0.41915239875049465, + 0.48188371048672307, + 0.5471155040337825, + 0.6139788195595633, + 0.681506948098337, + 0.7486599272886273, + 0.8143514006267984, + 0.8774771562954522, + 0.9369446141543039, + 0.9917025004261146, + 1.040769939753802, + 1.0832642039490832, + 1.1184263857117482, + 1.1456443132013021, + 1.1644720864506561, + 1.1746456976456126, + 1.176094292273471, + 1.1689467347357152, + 1.1535332575949409, + 1.13038209532637, + 1.1002111282517832, + 1.0639146871464522, + 1.0225457907184252, + 0.9772942037251848, + 0.9294608100217268, + 0.8804288896510232, + 0.831632969801533, + 0.7845259840203573, + 0.7405455208338418, + 0.7010799706761368, + 0.6674353880146248, + 0.6408038735303583, + 0.6222342493971131, + 0.6126057498287311, + 0.6126053803270993, + 0.6227095141014077, + 0.6431701949848599, + 0.6740065052424733, + 0.7150012366317677, + 0.7657029768639844, + 0.8254335942903146, + 0.8933009743597059, + 0.9682167353192138, + 1.0489185308373088, + 1.133996436656621, + 1.2219228197341685, + 1.3110850040229607, + 1.3998199791581607, + 1.4864503485023113, + 1.56932068250383, + 1.6468334328853567, + 1.7174835730667635, + 1.7798911602072305, + 1.8328310635955671, + 1.8752591716275135, + 1.9063344736382462, + 1.9254365113588612, + 1.9321778053347287, + 1.9264109815844566, + 1.908230450165969, + 1.8779686170700867, + 1.8361867408211647, + 1.7836606721657198, + 1.721361836185958, + 1.6504339281497216, + 1.5721658946891464, + 1.4879618580652187, + 1.3993087112518778, + 1.3077421636892674, + 1.2148120505802253, + 1.1220477317771453, + 1.0309243993573802, + 0.9428310861388126, + 0.8590411213571748, + 0.7806857156976911, + 0.7087312774714908, + 0.6439609669783045, + 0.5869608893765497, + 0.5381112103566414, + 0.4975823564730866, + 0.4653363361781398, + 0.441133091533445, + 0.4245416673743032, + 0.41495586740409557, + 0.4116139581906838, + 0.4136218849843052, + 0.4199793800490921, + 0.429608276820407, + 0.44138229329164114, + 0.4541575167823593, + 0.46680281036280874, + 0.4782293689416144, + 0.4874186801077593, + 0.4934481905165111, + 0.49551404171943103, + 0.4929503182264965, + 0.48524434322687215, + 0.4720476614173333, + 0.4531824611457229, + 0.4286433067086907, + 0.3985941731432449, + 0.363360897147534, + 0.3234192757947375, + 0.27937915648764844, + 0.23196496432393812, + 0.18199320411740966, + 0.13034755145840796, + 0.07795220845944872, + 0.02574424368336963, + -0.025354338906373074, + -0.07446405093069955, + -0.12077415255746685, + -0.163566961518548, + -0.2022395824278214, + -0.23632246767846446, + -0.26549430339515884, + -0.2895928091994297, + -0.308621146503938, + -0.3227497440034744, + -0.33231346809308543, + -0.3378041871025872, + -0.33985889842178507, + -0.33924370375364565, + -0.33683402692290254, + -0.33359156810665014, + -0.3305385755043705, + -0.32873008809609705, + -0.32922485937899204, + -0.3330557103632577, + -0.3412000796324536, + -0.3545515383869353, + -0.37389301903415556, + -0.39987246749558036, + -0.43298157287433464, + -0.4735381548334944, + -0.5216727007575993, + -0.5773194436730783, + -0.6402122604757488, + -0.7098855510071992, + -0.7856801348841667, + -0.8667540777852815, + -0.9520982352531082, + -1.040556183060102, + -1.1308480917904975, + -1.2215980022993944, + -1.3113638706669355, + -1.3986696783947674, + -1.4820388477490996, + -1.5600281647760816, + -1.6312613945841343, + -1.6944617755079565, + -1.748482600752424, + -1.7923351375799252, + -1.8252131940887788, + -1.8465137207115572, + -1.8558529258943535, + -1.8530774907761922, + -1.8382705835225768, + -1.8117524974668295, + -1.7740758653731217, + -1.7260155318325117, + -1.6685532938724599, + -1.6028578431715046, + -1.5302603588079189, + -1.4522263044047703, + -1.3703240752925911, + -1.2861912176435424, + -1.2014990005630393, + -1.1179161624042766, + -1.0370726731044912, + -0.9605243546190035, + -0.8897191815352986, + -0.8259660441670553, + -0.7704066978226235, + -0.723991545941736, + -0.6874598132502582, + -0.6613245602283798, + -0.6458628745802855, + -0.6411114518525085, + -0.6468676488860907, + -0.6626959635345933, + -0.6879397652078887, + -0.7217379764453192, + -0.7630462889024551, + -0.8106623906861785, + -0.863254588468315, + -0.9193931295028422, + -0.9775834674437608, + -1.0363006731660827, + -1.0940241686293863, + -1.1492719587091216, + -1.200633552878016, + -1.2468008051779416, + -1.2865959561292182, + -1.3189962326696887, + -1.343154450068307, + -1.3584151608097828, + -1.364326007169037, + -1.3606440537999938, + -1.3473370011770391, + -1.3245793070592762, + -1.2927433681687464, + -1.2523860348959235, + -1.2042308450959873, + -1.1491464661348372, + -1.088121924759976, + -1.0222392799044087, + -0.9526444523526271, + -0.8805169658978754, + -0.8070393762442409, + -0.7333671659785524, + -0.6605998664669203, + -0.5897541310177323, + -0.5217394290705613, + -0.4573369599416053, + -0.39718229861742543, + -0.34175218744365565, + -0.291355778819077, + -0.24613051794213014, + -0.2060427342093986, + -0.17089288808239078, + -0.1403253001976578, + -0.11384207422552688, + -0.09082081739056946, + -0.07053566536203093, + -0.052181033850437826, + -0.0348974498281778, + -0.017798762569482696, + -1.7177933406592033e-16 + ], + [ + 0, + 0.020456304560240515, + 0.04365716159622423, + 0.07027982011487062, + 0.10088443070505276, + 0.1358954518937437, + 0.17558681418955063, + 0.22007125158027147, + 0.2692941020427069, + 0.3230317625261685, + 0.3808948628252325, + 0.44233609982832284, + 0.5066625519325318, + 0.5730521760394276, + 0.6405740794735619, + 0.708212059196756, + 0.7748908133780587, + 0.8395041579578054, + 0.9009445251796581, + 0.9581329836039103, + 1.0100490008510097, + 1.055759171768337, + 1.0944441558845148, + 1.125423108438088, + 1.1481749479822025, + 1.1623558791549227, + 1.1678126798218174, + 1.1645913652195945, + 1.1529409554081211, + 1.1333121934627683, + 1.1063511874072183, + 1.0728880757785735, + 1.0339209417717614, + 0.9905953210071259, + 0.9441797600983709, + 0.8960379845531915, + 0.8475983225629574, + 0.8003211037026077, + 0.7556648066203236, + 0.715051766028623, + 0.6798342657574465, + 0.6512618408262549, + 0.6304505874665481, + 0.6183552363088178, + 0.6157446815563523, + 0.6231815793827761, + 0.6410065339180684, + 0.6693272813163834, + 0.7080131641399111, + 0.7566950625179644, + 0.8147708183106174, + 0.8814160569968271, + 0.9556001824294583, + 1.036107195121934, + 1.1215608684004081, + 1.2104537114215659, + 1.301179056303097, + 1.3920655306944796, + 1.481413118896594, + 1.5675299755542595, + 1.648769136962264, + 1.7235642766174886, + 1.7904636737881603, + 1.848161606023793, + 1.8955264376739132, + 1.9316247551329164, + 1.955740993766942, + 1.967392109009762, + 1.9663369623169658, + 1.9525802186598473, + 1.9263706829516658, + 1.8881941350453293, + 1.8387608535037012, + 1.7789881440464874, + 1.7099783063679377, + 1.6329925800416354, + 1.5494217038938916, + 1.460753801278272, + 1.368540364249062, + 1.2743611512715576, + 1.1797888348495091, + 1.0863542368125254, + 0.9955129700086491, + 0.9086142663096011, + 0.8268727131661957, + 0.7513435459181402, + 0.6829020525598437, + 0.6222275439638894, + 0.5697922282580892, + 0.5258552059897522, + 0.49046167592535866, + 0.4634473129694495, + 0.4444476529190378, + 0.4329121967284894, + 0.42812283264956424, + 0.4292160708386307, + 0.4352084943264871, + 0.445024754833866, + 0.4575273836106957, + 0.47154764767334945, + 0.48591666144140855, + 0.4994959632780316, + 0.5112067857636755, + 0.5200572871347852, + 0.525167068170847, + 0.5257883724340192, + 0.5213234562590879, + 0.5113377159922202, + 0.49556827110858853, + 0.473927820178, + 0.4465037091949198, + 0.413552275444911, + 0.3754886517201471, + 0.33287233225432333, + 0.2863889102852973, + 0.23682849494076383, + 0.18506139972003965, + 0.13201176408995743, + 0.07862982188918276, + 0.025863564037886626, + -0.025369442362935948, + -0.07420932144321427, + -0.11987950980893602, + -0.1617100421754159, + -0.19915787288732403, + -0.23182368193358924, + -0.259464705386945, + -0.2820032334197357, + -0.2995305315568641, + -0.3123060597752643, + -0.3207519864350338, + -0.32544311672959286, + -0.32709247525944585, + -0.3265328964218406, + -0.32469508166572897, + -0.32258267660318085, + -0.3212450010934601, + -0.3217481296672079, + -0.32514506637416035, + -0.33244578609501685, + -0.34458792280181677, + -0.3624088739150952, + -0.3866200590193821, + -0.4177840214809298, + -0.45629499415555846, + -0.5023634670168947, + -0.556005197216406, + -0.6170349932000728, + -0.685065486740391, + -0.7595109830118817, + -0.8395963522143979, + -0.9243707998810552, + -1.0127262300472446, + -1.1034197989770884, + -1.19510015006289, + -1.2863367255236813, + -1.375651470029239, + -1.4615521774095128, + -1.542566685815481, + -1.61727710026783, + -1.6843532151801532, + -1.7425843233935505, + -1.7909086322287615, + -1.828439560273864, + -1.8544882598272672, + -1.8685817974085526, + -1.8704765264296475, + -1.8601662995288746, + -1.8378852904606149, + -1.8041053238279292, + -1.7595277422166864, + -1.7050699712343549, + -1.6418470703750858, + -1.5711486784077393, + -1.494411873157791, + -1.4131905644015819, + -1.3291221226870265, + -1.2438920141719547, + -1.1591972603744167, + -1.0767095708543455, + -0.9980390055702487, + -0.9246990117548348, + -0.8580736479108573, + -0.799387755723169, + -0.749680770572865, + -0.7097847746317377, + -0.680307295322215, + -0.6616192387163334, + -0.6538482249769999, + -0.6568774642009381, + -0.6703501791424683, + -0.693679449492064, + -0.7260632238607235, + -0.7665041235042305, + -0.8138335490739941, + -0.8667395010338265, + -0.9237974382651635, + -0.9835034298678585, + -1.0443088039100683, + -1.104655465098777, + -1.1630110417614772, + -1.2179030313816677, + -1.267951142944899, + -1.3118970827619758, + -1.3486310969993895, + -1.377214667177011, + -1.3968988523002677, + -1.4071378806390684, + -1.4075977127195771, + -1.3981594219072409, + -1.3789173669315993, + -1.3501722586658738, + -1.3124193482642126, + -1.2663320823007471, + -1.212741679932065, + -1.1526131846377852, + -1.0870186264019268, + -1.017107997258841, + -0.9440787923280805, + -0.8691448986376024, + -0.793505624494641, + -0.7183156527121858, + -0.6446566719367773, + -0.5735113924393549, + -0.5057405872828036, + -0.44206371846161574, + -0.3830436125081304, + -0.3290755436048803, + -0.28038096714178684, + -0.23700602583104868, + -0.1988248270005363, + -0.16554736664977734, + -0.13673185637658358, + -0.1118010963787705, + -0.09006243424718799, + -0.07073075779636062, + -0.052953893025413125, + -0.03583971740050264, + -0.01848425552582099, + -1.8013499053311108e-16 + ], + [ + 0, + 0.021705213273331376, + 0.046529215190566416, + 0.07509978279390774, + 0.10791540961847756, + 0.14532851680387734, + 0.1875327218744153, + 0.23455451911555228, + 0.286249610776895, + 0.3423040073383463, + 0.4022398908509021, + 0.46542611105572973, + 0.5310930627477723, + 0.5983515777620492, + 0.6662153589492167, + 0.733626389273979, + 0.799482669124724, + 0.8626675711210077, + 0.9220800557975314, + 0.9766649647323703, + 1.0254426006991324, + 1.0675368174868813, + 1.10220087487485, + 1.1288403661016742, + 1.1470325947837179, + 1.1565418639194711, + 1.1573302392668068, + 1.1495634605432488, + 1.1336117938294394, + 1.110045744280904, + 1.0796266766499354, + 1.0432925189912527, + 1.0021388490811138, + 0.9573957804140578, + 0.9104011722113076, + 0.8625707829728568, + 0.8153660673279044, + 0.770260379245676, + 0.7287043894359407, + 0.6920915498265786, + 0.6617244426708812, + 0.6387828359294548, + 0.6242942304186218, + 0.6191076286480113, + 0.6238711815946577, + 0.6390142796387615, + 0.6647345496832594, + 0.700990104614788, + 0.7474972665484775, + 0.8037338547668803, + 0.8689479960956711, + 0.942172282906691, + 1.0222429752431461, + 1.107823821872356, + 1.1974339633707458, + 1.2894792813739113, + 1.382286474312725, + 1.474139073365993, + 1.5633145646322208, + 1.6481217558376313, + 1.7269375189443517, + 1.7982420539839883, + 1.8606518539878116, + 1.9129496051815578, + 1.9541103293429603, + 1.9833231646147498, + 2.0000082849484633, + 2.003828574194324, + 1.99469579582703, + 1.9727711303615698, + 1.9384600864747554, + 1.8924019254456983, + 1.8354538685121444, + 1.768670479950907, + 1.6932787321400777, + 1.6106493598013283, + 1.5222651966152245, + 1.4296872563837557, + 1.3345193712349532, + 1.2383722298377673, + 1.1428276685237981, + 1.049404057404131, + 0.9595235923429747, + 0.8744822528245577, + 0.7954231166267379, + 0.7233136365423175, + 0.6589273843199198, + 0.6028306550340999, + 0.5553742040299109, + 0.5166902614311699, + 0.4866948391076783, + 0.4650952151845332, + 0.45140235485175495, + 0.4449479065066388, + 0.44490530207573215, + 0.4503143924162272, + 0.46010896537590756, + 0.4731464274162545, + 0.4882388812760251, + 0.5041848031166074, + 0.5198005136043126, + 0.5339506486064054, + 0.545576866261083, + 0.5537240772856714, + 0.5575635531985543, + 0.5564123508947888, + 0.5497485895845906, + 0.5372222249873766, + 0.5186610831034009, + 0.49407203888212353, + 0.46363735055882505, + 0.42770628516962267, + 0.38678229163332206, + 0.34150609176152, + 0.29263516375817006, + 0.2410201845778673, + 0.18757907462414297, + 0.13326934875261395, + 0.07905951988675029, + 0.02590032470164425, + -0.025303455787126, + -0.07371982434905257, + -0.11861432386608414, + -0.15937205571208057, + -0.19551636551038995, + -0.2267236883710791, + -0.25283414558533346, + -0.27385759520132025, + -0.28997495712625754, + -0.3015347563991096, + -0.3090449529406668, + -0.3131602492518502, + -0.31466518607109367, + -0.3144534469051671, + -0.3135038927912051, + -0.3128539360673888, + -0.3135709340861165, + -0.31672233883779927, + -0.3233453749342194, + -0.33441703536010553, + -0.3508251813610803, + -0.37334150981726305, + -0.4025971089775203, + -0.4390612625111757, + -0.48302408394740454, + -0.5345834706207957, + -0.5936367605088153, + -0.6598773594413933, + -0.7327964829531357, + -0.8116900295913304, + -0.8956704739579671, + -0.9836835413550893, + -1.0745293047781157, + -1.166887232195233, + -1.2593446103965729, + -1.3504276837579337, + -1.4386347742692756, + -1.522470594965755, + -1.6004809338706745, + -1.6712868706441955, + -1.7336176937627485, + -1.7863417121575018, + -1.828494201236233, + -1.8593017880285154, + -1.8782026622898116, + -1.8848620978074737, + -1.8791828785206406, + -1.8613103447234047, + -1.8316319026351071, + -1.7907709728759893, + -1.7395754866544888, + -1.6791011694982676, + -1.6105899779393247, + -1.5354441716184202, + -1.4551966089358037, + -1.3714779460496298, + -1.2859814944578174, + -1.2004265497360156, + -1.1165210418290565, + -1.0359243746679758, + -0.9602113193719716, + -0.8908378009686461, + -0.8291093740098913, + -0.7761531187543375, + -0.7328936082776465, + -0.7000334999384923, + -0.6780391944312313, + -0.6671318848812385, + -0.6672841900284165, + -0.6782224326268314, + -0.6994344900006897, + -0.7301830115044483, + -0.7695236706519515, + -0.8163280009894827, + -0.8693102572677057, + -0.927057649717614, + -0.9880632215149561, + -1.0507605796893504, + -1.11355964921954, + -1.174882599800159, + -1.2331990952137868, + -1.2870600363316507, + -1.335129009925896, + -1.376210715642414, + -1.4092757211265854, + -1.4334809884579065, + -1.4481857213981113, + -1.4529621998355509, + -1.4476013923063347, + -1.4321132664984453, + -1.4067218480019357, + -1.371855206034098, + -1.328130668274245, + -1.276335682253057, + -1.2174048451274941, + -1.1523937145833265, + -1.082450088832704, + -1.0087835013978688, + -0.9326337152172274, + -0.8552390196728193, + -0.7778051330089174, + -0.7014754913847586, + -0.6273036650757102, + -0.5562285831871803, + -0.48905317221299177, + -0.42642692281208566, + -0.36883279562104754, + -0.3165787634029812, + -0.2697941662377515, + -0.22843093183969204, + -0.19226958759697846, + -0.16092986772979934, + -0.1338856011677179, + -0.11048345631587415, + -0.08996502056676282, + -0.0714916076884074, + -0.05417111720573247, + -0.0370862183176295, + -0.01932309804499445, + -1.899048771147814e-16 + ], + [ + 0, + 0.023098311882311554, + 0.0496715982673261, + 0.08029078354581906, + 0.11538615866212096, + 0.15523260264843092, + 0.19993913324214144, + 0.24944307983183284, + 0.30350905165611647, + 0.3617327492567243, + 0.42354954082961255, + 0.4882476005301835, + 0.5549852861337717, + 0.6228123217717987, + 0.6906942506013012, + 0.7575395347957803, + 0.8222286084096507, + 0.8836441343180382, + 0.9407016809824799, + 0.9923800191828012, + 1.0377502435309147, + 1.0760029484799682, + 1.1064727330912225, + 1.1286593719566254, + 1.1422450698647686, + 1.147107313079335, + 1.1433269381279327, + 1.1311911571075415, + 1.1111914037750126, + 1.0840159939965548, + 1.0505377242604432, + 1.0117966596659707, + 0.9689784848955595, + 0.9233889050951163, + 0.8764246854780156, + 0.8295420062584564, + 0.7842228809827437, + 0.7419404396345606, + 0.7041239116613727, + 0.6721241574032438, + 0.6471805889065027, + 0.630390292891332, + 0.6226801203454909, + 0.6247824399645574, + 0.6372151680513113, + 0.6602665875534228, + 0.6939853560717049, + 0.7381759796456054, + 0.7923998989086759, + 0.8559821999767636, + 0.9280238274617827, + 1.0074190445933942, + 1.0928777588210175, + 1.1829522135620416, + 1.2760674408473756, + 1.3705547780945382, + 1.464687677363118, + 1.5567189790633753, + 1.6449187855898906, + 1.727612054646153, + 1.803215037511664, + 1.8702697140604034, + 1.927475423332402, + 1.9737169547520135, + 2.00808844906814, + 2.0299125577208756, + 2.0387544221907, + 2.0344301582122055, + 2.0170096605306487, + 1.9868136789610022, + 1.9444052525871527, + 1.8905757227026556, + 1.8263256732924964, + 1.7528412673751674, + 1.671466555469435, + 1.5836724262103998, + 1.4910229464558973, + 1.3951398972439413, + 1.297666351283376, + 1.200230156367128, + 1.1044081867822582, + 1.0116922015618839, + 0.9234571049039825, + 0.8409323413912175, + 0.7651770783746683, + 0.6970597320524381, + 0.6372422847808314, + 0.5861697217199483, + 0.5440647880076209, + 0.5109281364245709, + 0.4865438032079066, + 0.47048981955775737, + 0.4621536416693007, + 0.46075196587518935, + 0.46535439055016753, + 0.4749102953722536, + 0.4882782335648455, + 0.5042570756685772, + 0.5216181055689519, + 0.5391372518122747, + 0.5556266400515524, + 0.569964675637985, + 0.581123908267125, + 0.5881959920659517, + 0.5904131329708052, + 0.5871655086778101, + 0.5780142524587666, + 0.5626997080276303, + 0.541144785474702, + 0.513453374947717, + 0.4799039020507382, + 0.44093823364186996, + 0.3971462616976903, + 0.3492466031825221, + 0.2980639526434735, + 0.24450370906892707, + 0.1895245672741185, + 0.1341098149944347, + 0.07923810870682625, + 0.025854513174857117, + -0.025157418463252465, + -0.0730017753505924, + -0.11699392891234037, + -0.1565810461165323, + -0.1913589215650138, + -0.2210846699085013, + -0.24568492784041931, + -0.26525933179136146, + -0.2800791604585384, + -0.29058115734493234, + -0.29735667435550095, + -0.30113640000880226, + -0.3027710518599638, + -0.3032085193430954, + -0.3034680377100429, + -0.3046120536522829, + -0.307716506491098, + -0.3138402938702031, + -0.32399471650302886, + -0.339113702018483, + -0.3600255931228779, + -0.3874272504699709, + -0.4218611666260286, + -0.46369621563503277, + -0.5131125746834732, + -0.5700912523946683, + -0.6344085448631681, + -0.7056356184757783, + -0.7831432908849346, + -0.8661119513766412, + -0.9535464325517125, + -1.0442955199454018, + -1.1370756680835905, + -1.230498383479324, + -1.3231006399322045, + -1.4133776116123278, + -1.4998169468243736, + -1.5809337616652062, + -1.6553055091549331, + -1.7216058764867046, + -1.778636880944262, + -1.8253583734022725, + -1.8609142162706727, + -1.8846544789024702, + -1.8961530860344766, + -1.89522046154444, + -1.8819108281042793, + -1.8565239503164472, + -1.81960124154784, + -1.7719162896891452, + -1.7144599911689204, + -1.648420612460912, + -1.575159220858162, + -1.496181038443335, + -1.4131033722081032, + -1.3276208567303074, + -1.2414688116514743, + -1.1563855627838373, + -1.0740746018611083, + -0.9961674650755663, + -0.9241881944756716, + -0.8595202094127241, + -0.8033763584108181, + -0.7567728464691152, + -0.7205076407199781, + -0.6951438508019786, + -0.6809984618574507, + -0.678136670615192, + -0.6863719416742184, + -0.705271765111039, + -0.7341689612006348, + -0.772178246661443, + -0.8182176525990216, + -0.8710342702454199, + -0.9292336994335716, + -0.9913124889500904, + -1.0556927895380177, + -1.1207583910056649, + -1.1848912858007508, + -1.2465078931948361, + -1.3040940910416419, + -1.3562382355575633, + -1.4016614028488918, + -1.4392441576185044, + -1.4680492428144745, + -1.487339686717552, + -1.4965919385367163, + -1.4955037671387539, + -1.4839967870094346, + -1.4622136077219905, + -1.4305097348046107, + -1.389440477705451, + -1.33974324140531, + -1.2823156891585825, + -1.2181903621385486, + -1.1485064250294998, + -1.0744792728301937, + -0.9973687817229685, + -0.9184470146998165, + -0.8389662000941388, + -0.7601277881264339, + -0.6830533574269393, + -0.608758091141755, + -0.5381274720316436, + -0.4718977597487167, + -0.41064071343541486, + -0.35475291148466087, + -0.30444990055823695, + -0.2597652808173836, + -0.22055470694040435, + -0.1865046581023522, + -0.15714570785838558, + -0.13186990988200903, + -0.10995181065347763, + -0.09057250810489222, + -0.07284609821603578, + -0.05584779154607741, + -0.038642940178910165, + -0.020316193585118176, + -2.0107776575631545e-16 + ], + [ + 0, + 0.024630679548970996, + 0.053070500851106664, + 0.08582651792757452, + 0.12325476965804633, + 0.16554770301340427, + 0.21272616481307727, + 0.26463619019787155, + 0.3209506910056294, + 0.38117601941677376, + 0.4446632548414754, + 0.5106239382830718, + 0.5781498614771311, + 0.6462364109475153, + 0.7138088724721653, + 0.7797510217326646, + 0.8429352641809282, + 0.9022535430173847, + 0.9566482097963821, + 1.0051420482201123, + 1.0468666583042363, + 1.0810884449324636, + 1.1072315109918285, + 1.1248968294370256, + 1.1338771589594003, + 1.1341672722140825, + 1.1259691812135457, + 1.1096921686640104, + 1.085947563620031, + 1.0555383316373412, + 1.0194436803274982, + 0.9787990075923525, + 0.9348716386752186, + 0.889032906521954, + 0.8427272250665878, + 0.7974388845328623, + 0.7546573596486327, + 0.7158419642116536, + 0.6823867076046477, + 0.6555862100187541, + 0.6366035132103914, + 0.62644058301192, + 0.625912239477955, + 0.6356241719030531, + 0.655955600874092, + 0.6870470403122123, + 0.7287934917580291, + 0.7808432738912311, + 0.8426025555990428, + 0.9132455241032321, + 0.991729984065933, + 1.0768180525391877, + 1.1671014913139128, + 1.2610311056867902, + 1.3569495396639695, + 1.4531267145944606, + 1.5477970932207588, + 1.6391979057565504, + 1.7256074499784497, + 1.8053825740700056, + 1.876994469177862, + 1.9390619379022376, + 1.9903813643017723, + 2.029952689008932, + 2.0570007878322287, + 2.0709917614608426, + 2.071643764927331, + 2.058932135378243, + 2.03308871228808, + 1.9945953822286357, + 1.944172017316044, + 1.8827591091705076, + 1.8114955254150409, + 1.7316919303730902, + 1.6448005129257213, + 1.5523817500120092, + 1.456069001945891, + 1.3575317839636034, + 1.2584385860717833, + 1.1604201197081816, + 1.065033854847472, + 0.9737306754002839, + 0.8878244249944094, + 0.8084650409121488, + 0.736615882960387, + 0.6730357586505678, + 0.6182660288948071, + 0.5726230523975321, + 0.5361960951667708, + 0.5088506973482985, + 0.4902373562152354, + 0.4798052549134404, + 0.4768206446472016, + 0.48038937638012985, + 0.4894829795504508, + 0.5029676021563823, + 0.5196350608658505, + 0.5382352031176614, + 0.5575087566044573, + 0.5762198356550433, + 0.5931872889417056, + 0.6073141081862913, + 0.6176141721802084, + 0.6232356730395224, + 0.6234806603130945, + 0.6178202410768809, + 0.6059050878682144, + 0.5875710283515116, + 0.5628396178701984, + 0.5319137253118803, + 0.49516829073325314, + 0.45313653673277976, + 0.4064920315148209, + 0.3560271070456505, + 0.30262822801394684, + 0.24724898416382954, + 0.19088143804645358, + 0.13452660085441, + 0.07916482975574171, + 0.02572694052575634, + -0.024933190707152632, + -0.07206380260999075, + -0.11503752534322984, + -0.1533701594386795, + -0.18673544885975127, + -0.21497544469775906, + -0.23810617083902125, + -0.2563184253366899, + -0.26997367803578926, + -0.27959515301440924, + -0.285854310370782, + -0.28955306260650276, + -0.2916021732613393, + -0.2929963866821615, + -0.29478692527292555, + -0.29805206203312945, + -0.3038665298069174, + -0.31327056303850664, + -0.32723938204762965, + -0.3466539234919123, + -0.37227359387780923, + -0.4047117763376962, + -0.44441475552643267, + -0.4916446429959574, + -0.5464667878032441, + -0.6087420467994991, + -0.6781241687640628, + -0.754062419267161, + -0.8358094420353972, + -0.9224342209184963, + -1.0128398776032488, + -1.1057859172179527, + -1.19991442000434, + -1.293779575172653, + -1.3858798654783524, + -1.4746921401909046, + -1.5587067617818973, + -1.6364629792006535, + -1.7065836689010807, + -1.7678085941909205, + -1.8190253638299578, + -1.859297321424164, + -1.8878876668633464, + -1.904279198171629, + -1.9081891645907871, + -1.8995788370219122, + -1.8786575273149897, + -1.8458809202701174, + -1.8019437183716578, + -1.7477667358926525, + -1.6844787127398642, + -1.613393245984404, + -1.5359813553104025, + -1.4538403047096802, + -1.368659394045534, + -1.2821835083542645, + -1.1961752681170439, + -1.1123766588452586, + -1.032471032303849, + -0.9580463641903986, + -0.8905606242600576, + -0.8313100654274219, + -0.7814011694807943, + -0.7417269003833057, + -0.7129478138145122, + -0.6954784561151733, + -0.6894793599477805, + -0.694854810840366, + -0.7112564215826044, + -0.7380924135304323, + -0.7745423686029751, + -0.8195770864111266, + -0.8719830606804319, + -0.9303909808365378, + -0.9933075709276915, + -1.059150001222574, + -1.1262820496843169, + -1.1930511524629646, + -1.2578254654540562, + -1.3190300632098553, + -1.3751814269067175, + -1.4249194189920353, + -1.467036007378565, + -1.5005000849714472, + -1.5244778288206149, + -1.5383481548252693, + -1.5417129458958796, + -1.5344018607721115, + -1.5164716640967162, + -1.4882001525563802, + -1.4500748836084356, + -1.4027770392741925, + -1.3471608746017816, + -1.284229305816427, + -1.2151062843128608, + -1.1410066772923964, + -1.0632044322094638, + -0.9829998389308359, + -0.9016867197779469, + -0.8205203730826987, + -0.7406870707221676, + -0.6632758650040212, + -0.5892533964438088, + -0.5194423130636926, + -0.4545038159298887, + -0.3949247371828482, + -0.3410094385599281, + -0.2928766933638962, + -0.25046158615624975, + -0.21352233540143448, + -0.181651818110003, + -0.15429345540233025, + -0.13076100685938954, + -0.11026172233153342, + -0.09192221502669708, + -0.0748163513192347, + -0.05799440251635462, + -0.04051267303890915, + -0.02146280887520191, + -2.1362709262396706e-16 + ], + [ + 0, + 0.026295791157511326, + 0.05670904423297732, + 0.09167636842672015, + 0.13147407038648493, + 0.1762079537363035, + 0.22580789144775812, + 0.2800273303420706, + 0.33844775833771823, + 0.40048803542653844, + 0.4654183620609731, + 0.5323785368992467, + 0.6004000427792597, + 0.6684313982560652, + 0.7353661246346147, + 0.8000726073990124, + 0.8614250781126758, + 0.9183349096161506, + 0.9697814045663312, + 1.0148412654150847, + 1.0527159626667966, + 1.0827562670135882, + 1.1044832785510454, + 1.1176053710787395, + 1.1220305694069688, + 1.1178739901597938, + 1.105460098998568, + 1.0853196664513367, + 1.0581814374059573, + 1.0249586624956297, + 0.986730769747039, + 0.9447205787136307, + 0.9002675737692857, + 0.8547978554072091, + 0.8097914756905933, + 0.7667479342145427, + 0.7271506622613944, + 0.6924313539269578, + 0.6639350130253528, + 0.6428865732269238, + 0.6303599163581427, + 0.6272500608296862, + 0.6342492200012482, + 0.6518273406582029, + 0.6802176268201322, + 0.7194074363608908, + 0.7691348102508938, + 0.8288907597411371, + 0.8979272987750664, + 0.9752710707115106, + 1.059742283451695, + 1.1499785385942234, + 1.2444630214468368, + 1.3415564125219044, + 1.4395317901481772, + 1.5366117202877698, + 1.6310066753726287, + 1.720953890316088, + 1.8047557516553372, + 1.8808168253573956, + 1.947678659958917, + 2.004051553664937, + 2.048842545549743, + 2.08117898035118, + 2.1004271013579943, + 2.1062052440049697, + 2.0983913311387536, + 2.077124506374471, + 2.0428008812328438, + 1.9960635114406324, + 1.9377868544967332, + 1.8690560910297873, + 1.791141813435342, + 1.7054706938503674, + 1.613592837075855, + 1.5171466003406084, + 1.417821718983745, + 1.3173216138628583, + 1.2173257717162467, + 1.1194530834920051, + 1.0252269980071882, + 0.9360432999455047, + 0.8531412533791941, + 0.7775787664228837, + 0.7102121314414821, + 0.6516807809676138, + 0.6023973749810498, + 0.562543403553986, + 0.5320703533323565, + 0.5107063502543868, + 0.49796805765857305, + 0.4931774817826518, + 0.4954832187229724, + 0.5038855710948399, + 0.5172648714872843, + 0.5344122755488474, + 0.5540622319587563, + 0.5749258009469036, + 0.5957239782431244, + 0.6152201876590594, + 0.6322511327058143, + 0.6457552449799305, + 0.6547980332608628, + 0.6585937206388829, + 0.6565226553920206, + 0.6481440922420171, + 0.6332040612225567, + 0.6116381686310953, + 0.5835693051910307, + 0.5493003673262926, + 0.5093022250508417, + 0.4641972911909655, + 0.4147391584436516, + 0.36178887032577195, + 0.3062884768932515, + 0.2492325940868661, + 0.19163873499788286, + 0.1345172110162018, + 0.07884140999855395, + 0.025519247063354587, + -0.024633448307747805, + -0.07091689667985832, + -0.11276804215830988, + -0.14977737877049813, + -0.18170147406214235, + -0.20847084649234432, + -0.23019297435998126, + -0.24715034096007787, + -0.2597935502331243, + -0.26872967604598375, + -0.27470613315863907, + -0.2785904757123277, + -0.28134663672438975, + -0.2840082168483531, + -0.2876495101303811, + -0.2933550166234282, + -0.30218823489988067, + -0.3151605505980252, + -0.33320103951629865, + -0.35712798532019024, + -0.38762287306088966, + -0.42520756134631504, + -0.4702252595685258, + -0.5228258439471217, + -0.5829559395759928, + -0.6503540777939818, + -0.7245511119600965, + -0.804875943237386, + -0.8904664745514626, + -0.9802855788201273, + -1.0731417401540986, + -1.1677139072003315, + -1.2625799891453349, + -1.356248329858936, + -1.4471914166494777, + -1.5338810191369903, + -1.6148239124058825, + -1.6885973179636473, + -1.7538831966875006, + -1.809500549940089, + -1.8544349279043046, + -1.8878644069337924, + -1.9091813788550906, + -1.9180095927466823, + -1.9142160014070964, + -1.897917087803912, + -1.8694794782771427, + -1.8295147859511154, + -1.7788687663517948, + -1.7186050042438223, + -1.6499834828374704, + -1.5744345105297286, + -1.4935285931903306, + -1.4089429389071373, + -1.3224253646301947, + -1.2357564382620632, + -1.1507107338469955, + -1.0690181005142176, + -0.9923258471491292, + -0.9221627243494072, + -0.8599055435519194, + -0.8067492112930862, + -0.7636808758876866, + -0.731458786337136, + -0.7105963513762436, + -0.7013517629599886, + -0.7037234161866155, + -0.717451219870815, + -0.7420237520739403, + -0.7766910762706483, + -0.8204828998530728, + -0.8722316305986615, + -0.9305997716136342, + -0.9941109938969719, + -1.0611841404966293, + -1.13016934929692, + -1.19938543438091, + -1.267157639762685, + -1.3318548746740773, + -1.3919255565822093, + -1.4459312262403332, + -1.4925771573491515, + -1.5307392603490702, + -1.5594866735396455, + -1.5780995427865814, + -1.5860816108345837, + -1.5831673657195835, + -1.5693236317805916, + -1.5447456229942815, + -1.5098476134314527, + -1.4652485102366035, + -1.4117527374507846, + -1.3503269512218683, + -1.2820732057354445, + -1.208199272152644, + -1.129986877955869, + -1.0487586798244166, + -0.9658448084192628, + -0.8825498276909843, + -0.8001209345026451, + -0.7197181869697611, + -0.6423874929636754, + -0.5690370151896819, + -0.500417558071488, + -0.4371073966836991, + -0.3795018918478079, + -0.32780811119288045, + -0.28204454662648826, + -0.24204588753233985, + -0.20747267941502032, + -0.1778255729116997, + -0.15246375122325395, + -0.13062701801634796, + -0.11146093537062385, + -0.09404432470479814, + -0.07741838472527025, + -0.060616640765256115, + -0.04269492040144216, + -0.022760551419523524, + -2.275109573175121e-16 + ], + [ + 0, + 0.02808555736260695, + 0.060567404190281185, + 0.0978056506880359, + 0.13999202890289034, + 0.1871422243193449, + 0.2390931466326732, + 0.2955052268143841, + 0.35586969631291776, + 0.41952067391995534, + 0.48565175978720887, + 0.5533367175035888, + 0.6215537170559556, + 0.689212516654699, + 0.75518388223398, + 0.8183304819698924, + 0.8775384509894347, + 0.931748799677357, + 0.9799878382236472, + 1.0213958103619578, + 1.0552529701698707, + 1.081002396358619, + 1.0982689172014812, + 1.1068736142071138, + 1.1068434814966137, + 1.0984159378985627, + 1.0820380170561565, + 1.058360194154415, + 1.0282249429002182, + 0.9926502497503806, + 0.9528084407440199, + 0.9100007964329797, + 0.8656285392936273, + 0.8211608728935634, + 0.7781008305682757, + 0.7379497514284167, + 0.7021712416141408, + 0.6721554977765088, + 0.6491848672547429, + 0.6344014953225586, + 0.6287778647221651, + 0.6330909675381662, + 0.6479007658300724, + 0.6735334973454324, + 0.7100702684904026, + 0.7573412513068959, + 0.8149256675448789, + 0.882157604282872, + 0.9581375653255979, + 1.0417495242260728, + 1.1316831116315003, + 1.226460445005776, + 1.3244669956998614, + 1.4239857896079005, + 1.5232341556968219, + 1.6204021735555225, + 1.713691928343081, + 1.8013566601919282, + 1.881738895784923, + 1.9533066724799226, + 2.0146870094679605, + 2.064695844962061, + 2.102363741763617, + 2.126956763721013, + 2.137992040147784, + 2.135247661419702, + 2.118766683652941, + 2.088855160301616, + 2.0460742602979485, + 1.991226672543498, + 1.9253376317379665, + 1.8496310274203114, + 1.7655011736183066, + 1.674480917861246, + 1.5782068530599551, + 1.4783824618621348, + 1.3767400689723304, + 1.2750025015053286, + 1.174845360164729, + 1.0778607848869144, + 0.9855235580843258, + 0.8991603278037201, + 0.8199226535259857, + 0.7487644809732567, + 0.6864245415652088, + 0.6334140498368611, + 0.590009941232821, + 0.5562537564706029, + 0.5319561404856864, + 0.516706787242029, + 0.5098895297788747, + 0.5107021510067179, + 0.5181803779943355, + 0.5312254235557843, + 0.5486343562529338, + 0.5691325154691242, + 0.5914071435196304, + 0.614141382887041, + 0.6360477841271076, + 0.6559004887742365, + 0.6725652911456114, + 0.685026842242873, + 0.6924123364345104, + 0.6940111152746045, + 0.689289730278435, + 0.6779021249969255, + 0.6596947233035576, + 0.634706342226774, + 0.6031629806104112, + 0.5654676660140485, + 0.5221856682754286, + 0.4740255058828668, + 0.42181627779409736, + 0.3664819459228878, + 0.30901326988218353, + 0.25043815381908824, + 0.19179120385702533, + 0.1340833128215977, + 0.07827208613410537, + 0.025233899102957244, + -0.02426166805379025, + -0.06957433413433346, + -0.11021195702731613, + -0.14584520311261207, + -0.1763176481653024, + -0.20165103119110336, + -0.22204550910122106, + -0.23787489063429915, + -0.24967695914213575, + -0.25813912244393594, + -0.2640797506548908, + -0.2684256765884248, + -0.27218643512134283, + -0.27642590519805516, + -0.2822320886968868, + -0.29068581236970575, + -0.30282917114149177, + -0.319634542363688, + -0.34197499081940824, + -0.37059685357464067, + -0.4060952428774707, + -0.448893135454968, + -0.49922462945026497, + -0.557122848021902, + -0.6224128538177585, + -0.6947098139811917, + -0.7734225241415729, + -0.8577622652518706, + -0.9467568325213535, + -1.0392694444180326, + -1.1340221150744194, + -1.229622958554376, + -1.3245967912253092, + -1.4174183115172418, + -1.5065470668535679, + -1.5904633672937207, + -1.6677042757481404, + -1.7368987963154234, + -1.7968013956279134, + -1.846323026816299, + -1.8845588810275866, + -1.9108121660540447, + -1.9246133037738875, + -1.9257340455512437, + -1.914196124895105, + -1.8902741966177388, + -1.8544929482988395, + -1.8076184097202201, + -1.7506436256676432, + -1.6847689936799817, + -1.6113776976212433, + -1.5320067871828316, + -1.448314559659203, + -1.3620449909623988, + -1.2749900356132162, + -1.1889506685667863, + -1.1056975738773922, + -1.0269323955726373, + -0.9542504544157313, + -0.8891058007516879, + -0.8327794191577068, + -0.7863513264634981, + -0.7506772126693598, + -0.7263701666027738, + -0.7137879074348668, + -0.7130258123629252, + -0.7239158930367694, + -0.7460317320165943, + -0.7786992491349638, + -0.8210130295346421, + -0.8718578137220615, + -0.9299346284033353, + -0.9937909281012302, + -1.0618540242166077, + -1.1324670025450039, + -1.2039262741002827, + -1.2745198687648835, + -1.3425655675997092, + -1.4064479778930614, + -1.4646536849557261, + -1.515803665494346, + -1.5586822178218789, + -1.5922617524162233, + -1.6157228902053795, + -1.6284694328487022, + -1.6301378962922386, + -1.6206014328515272, + -1.59996810470245, + -1.5685736095409912, + -1.5269686939088694, + -1.4759016179616822, + -1.416296154134305, + -1.3492257083342087, + -1.2758842433830817, + -1.1975547582258397, + -1.115576131163406, + -1.031309169748141, + -0.9461027232234619, + -0.861260705234548, + -0.7780108452605735, + -0.6974759376209045, + -0.6206482882935481, + -0.5483679739304426, + -0.4813054265634263, + -0.41994874414142913, + -0.3645960041031583, + -0.31535272778499407, + -0.27213451086085083, + -0.23467470255403752, + -0.2025368873857242, + -0.1751318009725678, + -0.15173819892631268, + -0.1315270980589015, + -0.1135887243558696, + -0.09696143466361795, + -0.08066183042247906, + -0.06371525326987149, + -0.045185844632141654, + -0.024205364691567546, + -2.42672288485038e-16 + ], + [ + 0, + 0.029990382108294744, + 0.06462296776515718, + 0.10417590712613148, + 0.1487522160016776, + 0.1982747744748158, + 0.25248639051908434, + 0.31095494090701703, + 0.37308346895420014, + 0.43812498881474315, + 0.5052016224288615, + 0.5733275809661309, + 0.6414354006195246, + 0.7084047554900593, + 0.7730931002924544, + 0.834367344513451, + 0.8911357287976587, + 0.9423790645450545, + 0.98718050927533, + 1.0247530830066467, + 1.054464183938725, + 1.0758564338391583, + 1.0886642729434108, + 1.0928258286920587, + 1.0884896996596711, + 1.0760164226760354, + 1.0559745242531127, + 1.0291311936930012, + 0.9964377512599724, + 0.9590102171490766, + 0.9181054123542522, + 0.8750931377761941, + 0.8314250801056008, + 0.7886011795800826, + 0.7481342634351171, + 0.7115137979815502, + 0.6801696404580005, + 0.6554366783553631, + 0.638521228557586, + 0.6304700316951816, + 0.632142619408359, + 0.6441877551232713, + 0.6670245542982893, + 0.7008287801755306, + 0.7455246885360803, + 0.8007826627818962, + 0.8660227420731201, + 0.940424003620355, + 1.022939619032006, + 1.112317267306932, + 1.2071244570121153, + 1.3057781905901609, + 1.4065782975462766, + 1.5077436730875005, + 1.607450586857399, + 1.7038721745105396, + 1.7952181942968544, + 1.8797741223489228, + 1.9559386742164675, + 2.0222588760563656, + 2.0774618659080732, + 2.120482682289819, + 2.1504873920815446, + 2.166891020018271, + 2.1693698654213645, + 2.157867925047199, + 2.1325972808916887, + 2.0940324550504443, + 2.0428988768134415, + 1.9801557465915078, + 1.9069737136428164, + 1.824707906678457, + 1.734866965318849, + 1.6390788134149081, + 1.539053990198382, + 1.4365474102892646, + 1.3333194574588658, + 1.231097328940745, + 1.1315375367541696, + 1.03619044025773, + 0.9464676308237716, + 0.8636129164730739, + 0.7886775633724755, + 0.7225003445504866, + 0.6656928266824352, + 0.6186301963059108, + 0.5814477905580197, + 0.5540433578476534, + 0.536084934234816, + 0.5270240851232908, + 0.526114132527085, + 0.5324328688140014, + 0.5449091513757979, + 0.562352681712234, + 0.5834861991446381, + 0.606979265548661, + 0.6314827843842921, + 0.6556633856554506, + 0.6782368184677567, + 0.6979995242482501, + 0.7138576155904083, + 0.7248525567289782, + 0.7301829299946466, + 0.7292217759835239, + 0.7215291109653587, + 0.7068593503070625, + 0.6851634982339191, + 0.6565860987673509, + 0.6214570767749705, + 0.5802787283717843, + 0.5337082431476221, + 0.48253625377430276, + 0.4276620086353495, + 0.3700658477201127, + 0.310779729023992, + 0.2508566004330146, + 0.19133943936651682, + 0.1332307886433075, + 0.07746360199361282, + 0.024874176764777683, + -0.023822104409073907, + -0.06805157545571465, + -0.10739907554809856, + -0.141620273043075, + -0.1706491898016052, + -0.19460071636013254, + -0.21376803922423485, + -0.22861503449637272, + -0.23976381375554442, + -0.24797773523344588, + -0.2541403126482035, + -0.2592305625259941, + -0.2642954256966314, + -0.27041997746527974, + -0.2786962017136354, + -0.2901911452972698, + -0.30591528950011626, + -0.32679197442063745, + -0.3536286899692175, + -0.3870910041602165, + -0.42767983661537556, + -0.47571270418634337, + -0.5313094683415968, + -0.5943830028469215, + -0.6646350780504079, + -0.7415576277977028, + -0.8244394298944341, + -0.9123780944706689, + -1.0042971200019104, + -1.0989676474749377, + -1.1950344225026703, + -1.2910453661309798, + -1.385484060400474, + -1.4768043768346018, + -1.563466416916926, + -1.643972894827657, + -1.7169050752646724, + -1.7809573835812003, + -1.834969831695555, + -1.8779574506906163, + -1.9091359886186277, + -1.9279432181559952, + -1.9340553013475654, + -1.9273977752635711, + -1.9081508501381492, + -1.876748847358518, + -1.8338737452161369, + -1.780442942180978, + -1.7175914871440598, + -1.646649160166566, + -1.5691129124827112, + -1.4866152877485144, + -1.4008895450196968, + -1.3137322852475928, + -1.2269644451903008, + -1.1423915640030298, + -1.061764247361075, + -0.9867397512770524, + -0.9188455828435592, + -0.8594459685503489, + -0.8097119737092447, + -0.7705959704917063, + -0.7428110492277312, + -0.7268158504282439, + -0.7228051663239977, + -0.7307065236919775, + -0.750182817698206, + -0.7806409228791399, + -0.8212460657045988, + -0.8709416068568883, + -0.9284737537330094, + -0.9924206078247463, + -1.0612248503586532, + -1.1332292853287629, + -1.206714393853864, + -1.279937009193476, + -1.351169198810526, + -1.4187364390900252, + -1.4810541896825444, + -1.5366620173668242, + -1.5842544827160312, + -1.6227080851051736, + -1.651103660649436, + -1.6687437410424844, + -1.6751645061493852, + -1.6701420965024634, + -1.6536931902506429, + -1.626069889205439, + -1.5877490969566168, + -1.5394167051958554, + -1.4819470291206842, + -1.4163780460424997, + -1.3438830903315144, + -1.2657397401972201, + -1.1832966955420265, + -1.0979394897217667, + -1.0110559004866968, + -0.9240019261749993, + -0.8380691724414282, + -0.7544544530176744, + -0.6742323463299328, + -0.5983313698485918, + -0.5275143378724704, + -0.4623633585131225, + -0.4032698047406636, + -0.3504294655457909, + -0.3038429498203913, + -0.26332128082789297, + -0.22849648651736407, + -0.19883686376635612, + -0.17366647610845196, + -0.15218833758301198, + -0.13351064271111912, + -0.11667532656556644, + -0.10068818135620557, + -0.08454971832054758, + -0.06728594691622032, + -0.047978247754829444, + -0.025791541259195017, + -2.590391758059263e-16 + ], + [ + 0, + 0.03199923717468105, + 0.06885052224549709, + 0.1107452452203791, + 0.15769432139381334, + 0.20952596932520093, + 0.26588863695674225, + 0.3262590113481597, + 0.3899549144509713, + 0.45615275918639603, + 0.5239091200859467, + 0.5921858639568685, + 0.6598781912204117, + 0.7258448601646188, + 0.7889398063693559, + 0.8480443295529944, + 0.9020990011100718, + 0.9501344481827015, + 0.9913001942197125, + 1.024890781069562, + 1.0503684626413072, + 1.067381843466373, + 1.0757799350544093, + 1.075621216299571, + 1.067177408548753, + 1.0509318081996226, + 1.0275721565583789, + 0.9979781647377858, + 0.9632039471606292, + 0.9244557473468862, + 0.883065460833091, + 0.8404605692435871, + 0.7981311939416982, + 0.7575950549315641, + 0.720361178777297, + 0.6878932367453492, + 0.6615734101585381, + 0.6426676736109717, + 0.632293358315062, + 0.6313898080638605, + 0.6406928702548571, + 0.6607138757994425, + 0.6917236566628339, + 0.7337420307809167, + 0.786533054070518, + 0.84960620135332, + 0.9222234956162236, + 1.003412461614809, + 1.0919846389051824, + 1.1865592544210288, + 1.2855915290142819, + 1.3874049790436853, + 1.4902269759206759, + 1.5922267459324173, + 1.6915549316553131, + 1.7863837963678997, + 1.8749471350729472, + 1.9555789605069793, + 2.026750059760485, + 2.087101566212338, + 2.135474761220431, + 2.17093640872391, + 2.192799031451969, + 2.200635657238659, + 2.1942886951018754, + 2.1738727400687057, + 2.1397712498303005, + 2.0926271816826802, + 2.033327821320757, + 1.9629841724235317, + 1.8829054042636009, + 1.7945689706827253, + 1.6995871148873067, + 1.5996705581926336, + 1.4965902350721494, + 1.3921379801156915, + 1.288087093752918, + 1.1861537123798533, + 1.0879598849145482, + 0.994999212428535, + 0.9086058415140923, + 0.8299275171173204, + 0.7599032988209296, + 0.6992464285348846, + 0.6484327101311647, + 0.6076946258991455, + 0.5770212741555065, + 0.5561640703856615, + 0.5446480144185146, + 0.541788191780232, + 0.5467110518289541, + 0.5583798916093252, + 0.5756238753508393, + 0.5971698375659227, + 0.6216760547532199, + 0.6477671282735327, + 0.6740691000228018, + 0.6992439235248531, + 0.7220224359065623, + 0.7412350202571056, + 0.7558392119419665, + 0.7649435848764129, + 0.7678273524429167, + 0.7639552301424337, + 0.7529872303433984, + 0.7347831905114683, + 0.7094019717572657, + 0.6770954010132467, + 0.6382971642102094, + 0.5936069861008305, + 0.5437705516548826, + 0.4896557312418417, + 0.432225764440302, + 0.37251013296078056, + 0.31157390995932877, + 0.2504864095502063, + 0.19028997570414605, + 0.13196974358445185, + 0.07642517890835, + 0.02444415284412918, + -0.02331975749722221, + -0.06636613801938065, + -0.10436227167491587, + -0.13715294671265588, + -0.16476527182380607, + -0.18740836132639577, + -0.2054678875755022, + -0.21949563202646818, + -0.23019429740180317, + -0.2383979678907356, + -0.2450487190775208, + -0.25116998142679, + -0.2578373480434037, + -0.26614758684363093, + -0.27718666743441595, + -0.2919976425910148, + -0.311549232458811, + -0.33670594622708516, + -0.3682005413180554, + -0.40660956492693745, + -0.45233264837750675, + -0.5055761330454173, + -0.566341499809109, + -0.6344189547588066, + -0.709386395187684, + -0.7906138449088839, + -0.8772733100546967, + -0.9683538691660836, + -1.0626816780131325, + -1.158944443548341, + -1.255719805858953, + -1.3515069648707903, + -1.444760802455641, + -1.5339276827062232, + -1.6174820652180197, + -1.693963039514835, + -1.7620098840098322, + -1.8203957702975038, + -1.8680587727680367, + -1.9041294036259055, + -1.9279539729627069, + -1.9391131706783864, + -1.9374353794252026, + -1.9230043526434948, + -1.896161026132082, + -1.857499372173568, + -1.8078563485814196, + -1.7482961376429154, + -1.6800890083029005, + -1.6046852656700406, + -1.523684871813871, + -1.4388034279039568, + -1.3518352974031522, + -1.2646147210463192, + -1.1789758249506244, + -1.0967124521476932, + -1.0195387543674153, + -0.9490514648510606, + -0.886694734695255, + -0.8337283556400533, + -0.79120011274846, + -0.7599229130032545, + -0.7404572228319478, + -0.7330992217068814, + -0.7378749433137035, + -0.7545405336368862, + -0.7825886101324684, + -0.821260561476532, + -0.8695644867099804, + -0.9262983393632394, + -0.9900777195713774, + -1.0593676482508727, + -1.1325175647368428, + -1.2077987151065102, + -1.2834430445179053, + -1.35768267454983, + -1.428789036487697, + -1.4951107439598574, + -1.555109322937398, + -1.6073919729713684, + -1.6507406092383377, + -1.6841365285967733, + -1.7067801520835835, + -1.718105418383845, + -1.717788534757248, + -1.7057509304349243, + -1.682156399187948, + -1.6474025591207806, + -1.6021068952817208, + -1.5470877810323462, + -1.4833409940882714, + -1.4120123498074213, + -1.3343671650682605, + -1.2517573387578826, + -1.1655868877399935, + -1.0772768089535487, + -0.9882301482873993, + -0.899798144910946, + -0.8132482861878618, + -0.7297350540685492, + -0.6502740703680523, + -0.5757202574882988, + -0.5067505252637442, + -0.44385137639442557, + -0.38731169538035987, + -0.3372208522123761, + -0.29347211568070414, + -0.2557712354690896, + -0.22364992062082223, + -0.19648381779673693, + -0.17351447910535997, + -0.1538747090148696, + -0.1366165954582438, + -0.12074146381798644, + -0.1052309456719285, + -0.08907832814857261, + -0.07131934510739282, + -0.051061588215703925, + -0.027511753887495063, + -2.7652536647843334e-16 + ], + [ + 0, + 0.034099753119031524, + 0.07322247462777758, + 0.11746871727652884, + 0.16675471854037383, + 0.22081304608500102, + 0.27919843004662365, + 0.3412986394965145, + 0.4063501282907089, + 0.4734580502156679, + 0.5416201281178088, + 0.6097537594841389, + 0.6767256543329319, + 0.7413832324969292, + 0.8025869582097593, + 0.8592427616206388, + 0.9103336902206245, + 0.954949948380125, + 0.9923165199373294, + 1.0218176261646634, + 1.0430173480793854, + 1.0556758360734373, + 1.059760638895974, + 1.0554528054273418, + 1.043147543418652, + 1.023449356180008, + 0.9971617176674582, + 0.9652714850549864, + 0.9289283822074852, + 0.8894200141177577, + 0.8481429881435755, + 0.806570819851755, + 0.7662193868546324, + 0.7286107610217917, + 0.695236296135311, + 0.6675198731998636, + 0.6467822085219569, + 0.6342071101877649, + 0.6308105271039994, + 0.6374131722740395, + 0.6546174199380834, + 0.6827890765743169, + 0.7220445109400342, + 0.7722435011096422, + 0.832988019934667, + 0.9036270378394036, + 0.9832672768584475, + 1.0707897058708036, + 1.1648714276215313, + 1.2640124767709908, + 1.3665669281070087, + 1.47077760815848, + 1.5748136143769684, + 1.6768097760126313, + 1.7749071415451716, + 1.867293550274011, + 1.952243341120774, + 2.0281552699915464, + 2.0935877477664095, + 2.1472905731597973, + 2.18823241683149, + 2.2156234132390438, + 2.2289323323818313, + 2.2278979319870245, + 2.2125342287087153, + 2.1831295711974845, + 2.140239544940446, + 2.0846738849956608, + 2.017477714595715, + 1.9399075616274604, + 1.8534027279561929, + 1.759552695473567, + 1.6600613449767778, + 1.5567088373099087, + 1.4513120588605437, + 1.3456845642574242, + 1.2415969572485583, + 1.1407386360997072, + 1.0446817928455168, + 0.9548484973030139, + 0.8724816183975042, + 0.798620239018935, + 0.7340801087261996, + 0.6794395539293062, + 0.635031130796442, + 0.6009391653787435, + 0.5770031817945276, + 0.5628270763056772, + 0.5577937562671893, + 0.5610848316420954, + 0.571704826259004, + 0.5885092691861707, + 0.6102359360961213, + 0.6355384384808849, + 0.663021306769333, + 0.691275683009563, + 0.7189147304911403, + 0.7446078816243473, + 0.7671130811436628, + 0.7853062382967236, + 0.7982071776371041, + 0.8050014714000078, + 0.8050576448152051, + 0.7979393663426949, + 0.7834123646449903, + 0.7614459498532322, + 0.7322091549190702, + 0.6960616500907976, + 0.6535397163624413, + 0.6053376887871226, + 0.5522853946903055, + 0.4953222122119033, + 0.4354684587453545, + 0.3737948846351985, + 0.31139109331418563, + 0.24933373378239004, + 0.18865531436181393, + 0.13031446795404958, + 0.07516845908658068, + 0.023948662889955487, + -0.022760332653828437, + -0.06453744529976306, + -0.10113719173765584, + -0.13249683026433637, + -0.15873835724004162, + -0.18016529614976648, + -0.1972543542532978, + -0.21064215616585152, + -0.22110739285216705, + -0.2295488451577575, + -0.23695985007115422, + -0.2443998726288808, + -0.2529639243181155, + -0.26375062799811483, + -0.2778297682184029, + -0.2962101833367162, + -0.3198088515450377, + -0.34942199685808395, + -0.3856989939125086, + -0.42911978320633737, + -0.4799764228205455, + -0.5383593008159727, + -0.604148416908092, + -0.6770100155582193, + -0.7563987184290022, + -0.8415651655808457, + -0.9315690352974335, + -1.025297175515585, + -1.1214864489344647, + -1.218750772285159, + -1.3156117210236469, + -1.4105319766358568, + -1.5019508172098652, + -1.5883207949033826, + -1.668144707899824, + -1.7400119603706092, + -1.8026334122691923, + -1.8548738513430423, + -1.8957812718815716, + -1.9246122172022282, + -1.9408525339892782, + -1.9442329941507193, + -1.9347393612484458, + -1.9126166108375986, + -1.8783671540011362, + -1.8327430575674961, + -1.7767323994240383, + -1.7115400394341322, + -1.6385632222416928, + -1.5593625543645018, + -1.4756290113292938, + -1.3891477283895448, + -1.3017594081716966, + -1.2153202384359394, + -1.131661251520896, + -1.052548072998298, + -0.979642000175382, + -0.9144633214888899, + -0.8583577362324053, + -0.8124666616847009, + -0.7777021233067893, + -0.754726815462265, + -0.7439397977141804, + -0.7454681581353706, + -0.7591648334852239, + -0.7846126299974399, + -0.821134341442992, + -0.8678087166563119, + -0.9234918903512302, + -0.9868437621659572, + -1.0563586925884159, + -1.1303997835395678, + -1.2072359283674183, + -1.2850807528235288, + -1.3621325267642745, + -1.4366141068222982, + -1.506811973562905, + -1.5711134525497392, + -1.6280412566124067, + -1.6762845552166747, + -1.7147258644585366, + -1.7424631556460637, + -1.7588266990963204, + -1.763390289713307, + -1.755976638908966, + -1.7366568600728363, + -1.705744118569499, + -1.6637816586084915, + -1.6115255548175509, + -1.549922662638589, + -1.4800843556726342, + -1.403256737051913, + -1.3207880934195741, + -1.2340944221936598, + -1.1446239040098112, + -1.0538212116268915, + -0.9630925437347075, + -0.8737722471701198, + -0.7870918447225788, + -0.7041522192191144, + -0.625899619647037, + -0.5531060538817384, + -0.48635451771897187, + -0.426029384283199, + -0.3723121446771028, + -0.3251825533150744, + -0.28442509320819853, + -0.2496405410143995, + -0.2202622823354867, + -0.19557690777394715, + -0.17474851265738145, + -0.15684603078394374, + -0.140872857342479, + -0.12579796018196363, + -0.1105876432267352, + -0.09423711191783202, + -0.0758009984268644, + -0.054422033809319204, + -0.02935710446885032, + -2.9503092252800394e-16 + ], + [ + 0, + 0.0362783257932035, + 0.07770909949364906, + 0.12429873795958077, + 0.17586707251101266, + 0.2320509244302092, + 0.2923128601190183, + 0.35595490460437335, + 0.4221368620103826, + 0.48989877039206553, + 0.5581869090373576, + 0.6258826817773517, + 0.6918336224181492, + 0.7548857101100601, + 0.8139161448106473, + 0.8678657169689622, + 0.9157699116081577, + 0.9567879150066546, + 0.9902287415159734, + 1.015573767511361, + 1.0324950473474561, + 1.0408688903181877, + 1.0407842954190745, + 1.0325459692547603, + 1.0166717885235386, + 0.9938847087473017, + 0.9650992617921347, + 0.9314029227110241, + 0.8940327580693562, + 0.8543478898710284, + 0.8137984184068258, + 0.7738915410270252, + 0.7361556796072812, + 0.7021034853815211, + 0.6731946243982753, + 0.6507992591846874, + 0.6361631318932642, + 0.6303751214389265, + 0.6343380926444234, + 0.6487437804767742, + 0.6740523588614965, + 0.7104772335559477, + 0.7579754748096706, + 0.8162441710450623, + 0.884722842834021, + 0.9626019104942908, + 1.0488370622567984, + 1.142169226753112, + 1.2411497170592638, + 1.3441699870688124, + 1.4494953276725995, + 1.5553017328945482, + 1.6597150871831952, + 1.7608517664499976, + 1.856859708644033, + 1.9459589955906522, + 2.0264809968746267, + 2.0969051585255585, + 2.155892573411772, + 2.2023155452718886, + 2.235282452401829, + 2.25415732789234, + 2.2585736982895908, + 2.2484423585942195, + 2.2239529053164895, + 2.1855689973709014, + 2.134017463322631, + 2.0702715192749435, + 1.9955285009690866, + 1.911182643074416, + 1.8187935550386698, + 1.7200511434288988, + 1.6167378129953103, + 1.5106888407548942, + 1.4037518577389234, + 1.2977463907317368, + 1.194424410957835, + 1.0954328084263507, + 1.002278660253547, + 0.9162980900345475, + 0.8386294250148123, + 0.7701912506750251, + 0.7116658410550641, + 0.663488310711247, + 0.6258416939028153, + 0.5986580119024565, + 0.5816252437870348, + 0.5741999732674533, + 0.5756253475643036, + 0.5849538573707957, + 0.6010743326641936, + 0.6227424503091786, + 0.6486139684299348, + 0.6772798413537707, + 0.7073023289944084, + 0.7372511967644969, + 0.7657391068494286, + 0.7914553287430828, + 0.8131969455912004, + 0.8298968018256367, + 0.8406475250160477, + 0.8447210585714188, + 0.8415832592483596, + 0.8309032413882419, + 0.8125572851739018, + 0.786627265552857, + 0.753393698309436, + 0.7133236365687181, + 0.6670537813494305, + 0.6153692903873086, + 0.5591788773108315, + 0.4994868856779135, + 0.4373630970765361, + 0.3739110876045448, + 0.3102359812180665, + 0.24741246084630517, + 0.18645388853323705, + 0.12828335445874686, + 0.07370742233583959, + 0.02339326672584209, + -0.022150191898134615, + -0.06258665368951179, + -0.09776192489058447, + -0.12770826730650744, + -0.1526434911922829, + -0.17296480840621223, + -0.18923759978426163, + -0.2021793839582038, + -0.21263940089000583, + -0.2215743390196651, + -0.23002083717823085, + -0.23906547869126335, + -0.24981306317992413, + -0.26335398970258905, + -0.28073161181470624, + -0.30291043013605584, + -0.3307459709304017, + -0.3649571604059442, + -0.4061019448653859, + -0.45455682792466595, + -0.510500899720144, + -0.5739048217157164, + -0.6445251071650229, + -0.7219039045531822, + -0.8053743527464995, + -0.8940714355802275, + -0.9869481237440494, + -1.0827964565916472, + -1.180273089306434, + -1.2779287149079404, + -1.3742406688177249, + -1.4676479387079866, + -1.5565877363065346, + -1.6395327424383668, + -1.715028113046726, + -1.7817273329148762, + -1.8384260254062141, + -1.8840928702956043, + -1.9178968466701087, + -1.939230102396892, + -1.947725853765788, + -1.94327083614988, + -1.926011956046746, + -1.8963569335132948, + -1.8549688684047598, + -1.802754810441101, + -1.7408485583583309, + -1.6705880536924973, + -1.5934878666395156, + -1.5112073916857462, + -1.4255154763437474, + -1.338252294741827, + -1.2512893468111812, + -1.1664885116705384, + -1.0856611093230264, + -1.010527927296558, + -0.9426811482855014, + -0.8835490716604852, + -0.8343644569331676, + -0.7961372324511881, + -0.7696322098044628, + -0.7553523261379295, + -0.7535278056582219, + -0.7641114912728533, + -0.7867804509215667, + -0.820943814309818, + -0.8657566480526842, + -0.9201395342738897, + -0.9828033829515941, + -1.052278885030239, + -1.126949904512586, + -1.205090016039082, + -1.2849013220620065, + -1.3645546323641384, + -1.4422300595733144, + -1.5161570781549587, + -1.5846531112318045, + -1.6461597490255824, + -1.6992757637276736, + -1.74278616664549, + -1.775686652509558, + -1.797202890395681, + -1.806804247971383, + -1.8042116725645878, + -1.78939959549416, + -1.7625918716709978, + -1.7242519110915815, + -1.6750672989510715, + -1.6159293332666338, + -1.5479080298938885, + -1.4722232516932856, + -1.39021270876785, + -1.3032976479772236, + -1.2129471006362404, + -1.120641586243743, + -1.0278371766165053, + -0.9359308088387611, + -0.8462276974537389, + -0.7599116373397468, + -0.6780189102704842, + -0.6014164122779947, + -0.5307845080688659, + -0.46660499570964303, + -0.4091544327129203, + -0.3585029368588137, + -0.3145184350499038, + -0.2768761947440166, + -0.2450733385216627, + -0.21844791648172182, + -0.19620199656869428, + -0.17742813247826825, + -0.161138484967157, + -0.14629580728873118, + -0.13184546069581282, + -0.11674760259132415, + -0.1000086885218307, + -0.08071144980067202, + -0.058042550565803104, + -0.03131719043329235, + -3.1444303346169504e-16 + ], + [ + 0, + 0.038520237442652226, + 0.08227881290524247, + 0.13118553546043812, + 0.18496298472153164, + 0.24315305222235864, + 0.30512860853270213, + 0.37010999629024993, + 0.43718592257304606, + 0.5053382080641587, + 0.5734697482269143, + 0.6404349558244112, + 0.7050718867813005, + 0.7662352043341414, + 0.8228291108753147, + 0.8738393735508482, + 0.9183635886534288, + 0.9556388707259017, + 0.9850662140742994, + 1.0062308555727202, + 1.018918066225211, + 1.0231239124922669, + 1.019060654071839, + 1.007156579517607, + 0.9880502214194189, + 0.9625790353529888, + 0.9317627678578074, + 0.8967818747819949, + 0.8589514790149603, + 0.8196914726900992, + 0.7804934704399183, + 0.7428854046408803, + 0.7083946186322203, + 0.6785103579450381, + 0.6546465814665967, + 0.6381060135696427, + 0.6300463345020744, + 0.6314493602692998, + 0.6430939959162617, + 0.6655336591235272, + 0.6990787664580163, + 0.7437847549892533, + 0.799445980199656, + 0.8655956903917804, + 0.9415121315633834, + 1.0262306885621473, + 1.1185618218796676, + 1.2171144182971798, + 1.3203240412275847, + 1.426485446273402, + 1.5337886222111001, + 1.640357529926866, + 1.7442906439461843, + 1.8437023548144986, + 1.9367642668687464, + 2.021745425503951, + 2.0970505309297556, + 2.1612552411009993, + 2.2131377339071383, + 2.251705786197784, + 2.2762187326927745, + 2.286203788720758, + 2.2814663541171796, + 2.26209405825122, + 2.2284544545750773, + 2.181186423689717, + 2.1211854930376175, + 2.0495834253408636, + 1.9677225633042899, + 1.8771255416123198, + 1.7794610858720408, + 1.6765067092670962, + 1.5701091890920322, + 1.4621437553234706, + 1.3544729507686333, + 1.2489061264839239, + 1.1471605170175212, + 1.050824798112489, + 0.9613259658812099, + 0.8799002927295524, + 0.8075690135630773, + 0.7451192785795021, + 0.6930907791500148, + 0.6517683141286956, + 0.6211804188409473, + 0.6011040315641124, + 0.5910750261528508, + 0.5904042981659973, + 0.5981989588804797, + 0.613388070178698, + 0.634752246422677, + 0.6609563596699567, + 0.6905845141019769, + 0.7221764060030792, + 0.754264158201677, + 0.78540871316849, + 0.8142348869990028, + 0.8394642267625004, + 0.8599448751010832, + 0.8746777269087952, + 0.8828382613298188, + 0.8837935456722442, + 0.8771140332594298, + 0.8625799115587766, + 0.8401818967470409, + 0.810116512670461, + 0.7727760323731697, + 0.7287333954807952, + 0.6787225413545771, + 0.6236147129096266, + 0.5643913864516459, + 0.5021145663303925, + 0.4378952475671733, + 0.3728608933015579, + 0.3081227958543576, + 0.2447441899023249, + 0.1837099637478834, + 0.12589877054558105, + 0.07205827676068245, + 0.0227842017430429, + -0.021496297767544043, + -0.06053645857969372, + -0.09427664321858699, + -0.12284579255346528, + -0.14655755620107913, + -0.1659011972464646, + -0.1815275046497797, + -0.19423007766239028, + -0.2049224683281054, + -0.2146117775977254, + -0.22436939494625358, + -0.23529964823956442, + -0.24850718797714197, + -0.2650639664543063, + -0.2859766868816949, + -0.31215558966278906, + -0.34438541301413006, + -0.3832993136276462, + -0.4293564613708694, + -0.4828239318592527, + -0.5437634143421403, + -0.6120231323583828, + -0.6872352440227314, + -0.768818850855585, + -0.8559886022123067, + -0.9477687401550213, + -1.0430122906069779, + -1.1404249743313568, + -1.2385932890181865, + -1.3360161046356704, + -1.431139020977124, + -1.522390661392501, + -1.6082200219651073, + -1.687133962311928, + -1.7577339136472807, + -1.8187508920933242, + -1.869077940219341, + -1.9077991766533622, + -1.9342147110004708, + -1.947860777375355, + -1.948524552299901, + -1.9362532488069886, + -1.9113572152636062, + -1.8744069113463337, + -1.8262237812513098, + -1.7678651919812238, + -1.7006037487961507, + -1.6259014370964318, + -1.5453791667443089, + -1.4607824079993066, + -1.3739437050407528, + -1.286742931078845, + -1.2010662063701611, + -1.1187644356173483, + -1.041612433351584, + -0.9712695946389269, + -0.9092430340611944, + -0.8568540592076919, + -0.8152087672338729, + -0.7851734562688469, + -0.767355429926408, + -0.7620896456461885, + -0.7694315191583169, + -0.7891560513902349, + -0.8207632941662378, + -0.8634900207350067, + -0.9163273201517672, + -0.9780436944118936, + -1.0472131073840105, + -1.1222473181722201, + -1.201431731366865, + -1.2829639151402081, + -1.364993877266384, + -1.4456651503462246, + -1.5231557217070004, + -1.5957178509694692, + -1.661715848902715, + -1.7196609441273891, + -1.7682424381395612, + -1.806354442157745, + -1.8331175991248891, + -1.8478953180970386, + -1.8503041831508342, + -1.8402183415088245, + -1.8177678222974378, + -1.7833308846051867, + -1.7375206376799845, + -1.6811663136597126, + -1.615289700805211, + -1.5410773596896294, + -1.4598493434124151, + -1.373025223268942, + -1.282088281493445, + -1.1885487712835476, + -1.093907160426981, + -0.9996182681631857, + -0.9070571756685943, + -0.8174877395585475, + -0.7320344663938984, + -0.6516584162145282, + -0.5771376969002988, + -0.5090529913885325, + -0.44777842949359326, + -0.3934779785717046, + -0.3461073860204687, + -0.3054215651509001, + -0.2709871778725208, + -0.24220003635017037, + -0.21830682460928882, + -0.19843053301023122, + -0.181598906273254, + -0.16677513160508534, + -0.15288993928827874, + -0.13887425517550012, + -0.12369153367612475, + -0.10636891126999941, + -0.08602635400986952, + -0.06190302700405978, + -0.03338018809839708, + -3.3463697705270413e-16 + ], + [ + 0, + 0.040809791225373926, + 0.086898469621559, + 0.1380776317595751, + 0.19397266795436305, + 0.2540322778032197, + 0.3175430102936421, + 0.3836484510738671, + 0.4513725572510557, + 0.5196465305207926, + 0.5873385253303472, + 0.6532854125424813, + 0.7163257626538585, + 0.7753331774924339, + 0.8292490863973011, + 0.8771141325403468, + 0.9180973070821083, + 0.9515220425019181, + 0.9768885503977471, + 0.9938917814949264, + 1.0024344942486254, + 1.0026350405755207, + 0.9948296098647964, + 0.9795688121887096, + 0.9576086250639629, + 0.9298958716139339, + 0.8975485379460876, + 0.8618313704672149, + 0.8241273163586608, + 0.7859054794241535, + 0.7486863562342381, + 0.714005191553064, + 0.6833743455343552, + 0.6582455967100633, + 0.6399733135070209, + 0.6297794126188727, + 0.6287209853112375, + 0.6376614134935455, + 0.6572457175449792, + 0.6878807793416155, + 0.7297209690716899, + 0.7826595760293135, + 0.8463263047680686, + 0.9200909521625307, + 1.0030732316361464, + 1.0941585617284904, + 1.1920194909562032, + 1.295142293143659, + 1.4018581404585457, + 1.5103781484199628, + 1.6188314909493569, + 1.7253057064968016, + 1.827888260318347, + 1.9247083945108494, + 2.0139782872849197, + 2.094032556458667, + 2.1633651789896846, + 2.2206629576626757, + 2.2648347463966645, + 2.2950357450930006, + 2.3106862911086408, + 2.3114847044931324, + 2.297413884915858, + 2.2687415063124057, + 2.226013807095636, + 2.1700431256175987, + 2.1018894787418834, + 2.0228366222918086, + 1.9343631623568147, + 1.8381094028090683, + 1.7358407140872527, + 1.6294082889369923, + 1.5207082104187506, + 1.4116397946818322, + 1.3040641848860517, + 1.199764162931405, + 1.1004061126104114, + 1.0075050122791909, + 0.9223932585532911, + 0.846194026789463, + 0.7797997615992074, + 0.7238562641457669, + 0.6787527056347866, + 0.6446177516114587, + 0.6213218329935485, + 0.6084854508575939, + 0.6054932565115662, + 0.6115135098954506, + 0.62552239123603, + 0.6463325262645535, + 0.6726249869668027, + 0.7029839501463465, + 0.7359331369493355, + 0.7699731193150005, + 0.8036185649259069, + 0.8354345009140527, + 0.8640707080384988, + 0.88829341042792, + 0.9070134998745754, + 0.9193106261659917, + 0.9244525936783853, + 0.9219096266648292, + 0.9113631982538885, + 0.892709257781982, + 0.8660558341974393, + 0.8317151362980053, + 0.7901904099079433, + 0.7421579442758806, + 0.6884447416765126, + 0.6300024723921962, + 0.5678784292424844, + 0.5031842693391296, + 0.4370633839567494, + 0.3706577690230788, + 0.3050752779895704, + 0.2413581255478207, + 0.18045347518218582, + 0.1231868868233044, + 0.07023932435489715, + 0.022128328387404562, + -0.020806150045051493, + -0.058410881588010936, + -0.09072321508513075, + -0.11796955517769915, + -0.14055849835662465, + -0.15906880462547104, + -0.17423251725194314, + -0.1869136704976355, + -0.19808314148143985, + -0.20879030448981517, + -0.22013223148966177, + -0.23322124913846712, + -0.24915170850759993, + -0.26896684784132735, + -0.29362663031742275, + -0.3239774178705811, + -0.3607242991697756, + -0.4044068258431176, + -0.45537882758671155, + -0.5137928759366034, + -0.5795898507247779, + -0.6524939354591723, + -0.7320132312484086, + -0.8174460368466177, + -0.9078926984774812, + -1.0022727909179527, + -1.099347254454742, + -1.1977449842177321, + -1.29599325228143, + -1.392551241752261, + -1.4858458884044103, + -1.5743091614379965, + -1.6564158722725597, + -1.7307210800927315, + -1.7958961657103343, + -1.8507626712070722, + -1.894323051210038, + -1.9257875514052354, + -1.9445965193569703, + -1.9504375597255994, + -1.9432570679760206, + -1.9232658106815073, + -1.8909383632860162, + -1.8470063642040817, + -1.79244569378533, + -1.728457834277793, + -1.6564458088608909, + -1.577985230589478, + -1.4947911124177118, + -1.4086811943801685, + -1.3215366308967151, + -1.235260947874317, + -1.151738224135071, + -1.0727914735692552, + -1.0001422027243623, + -0.935372093300206, + -0.8798877108099719, + -0.8348890706340482, + -0.8013428025195419, + -0.7799605464412291, + -0.7711830892566555, + -0.7751706157549635, + -0.7917993028136427, + -0.8206643349609086, + -0.8610892673499225, + -0.9121415116870183, + -0.9726535756761795, + -1.041249550568309, + -1.116376217735864, + -1.1963380368289165, + -1.279335187627582, + -1.363503767368598, + -1.446957196775931, + -1.527827862416953, + -1.6043080209245697, + -1.6746890120806601, + -1.737397872180503, + -1.7910305053612952, + -1.8343806570158923, + -1.8664640378688042, + -1.8865370671686195, + -1.8941098357792465, + -1.8889530314593743, + -1.871098715814429, + -1.8408349916629794, + -1.798694747211508, + -1.7454388058563348, + -1.682033944144008, + -1.6096263621589622, + -1.5295112974097915, + -1.4430995625684926, + -1.3518818570352715, + -1.2573917506007157, + -1.161168263335486, + -1.0647189686910394, + -0.9694845266520555, + -0.8768055112210612, + -0.7878923326728111, + -0.7037989715512394, + -0.6254011404411587, + -0.5533793737055153, + -0.4882074175787873, + -0.43014615648125837, + -0.3792431696111546, + -0.3353378683515868, + -0.2980720234008845, + -0.2669053543489916, + -0.24113572708626796, + -0.21992338912420875, + -0.2023185725030946, + -0.1872917109538674, + -0.173765454424991, + -0.16064762154271636, + -0.14686421007822426, + -0.13139158752562083, + -0.11328700836186584, + -0.09171665081050386, + -0.06598043276517594, + -0.03553295222892004, + -3.554772193663964e-16 + ], + [ + 0, + 0.04313045783401879, + 0.09153368066347617, + 0.14492234709900031, + 0.2028256446849838, + 0.26460173971895595, + 0.32945512321257486, + 0.3964583796804283, + 0.4645778089383416, + 0.5327022290653538, + 0.5996742037364303, + 0.664322871441398, + 0.7254975093612375, + 0.7821009420416631, + 0.8331219050962113, + 0.8776654970260996, + 0.9149808973285359, + 0.9444855952858555, + 0.9657854595588901, + 0.9786900818306129, + 0.98322294570152, + 0.9796261018907639, + 0.9683591693074746, + 0.9500926252625196, + 0.9256954933928216, + 0.8962176811217403, + 0.8628673560771528, + 0.8269838793647412, + 0.790006929699042, + 0.7534425531822071, + 0.7188269564190839, + 0.6876889235361054, + 0.6615117788937178, + 0.6416958357460566, + 0.6295222662694097, + 0.626119300292674, + 0.632431609336258, + 0.6491936603816982, + 0.6769077318686605, + 0.7158271749578473, + 0.7659453787557851, + 0.8269907619925859, + 0.8984279688984782, + 0.9794652972789969, + 1.069068235712695, + 1.1659788380995877, + 1.2687405211321843, + 1.3757277371605796, + 1.4851798546662835, + 1.5952384741233365, + 1.7039873210021568, + 1.8094937922055003, + 1.9098511889584076, + 2.0032206492037843, + 2.087871796410315, + 2.162221149323797, + 2.224867387947571, + 2.2746226437155492, + 2.3105390746774384, + 2.331930097308849, + 2.3383857726076474, + 2.329781982385309, + 2.3062831787517997, + 2.2683386421505936, + 2.2166723372236663, + 2.1522666075326895, + 2.0763400960441905, + 1.9903204147591222, + 1.8958122106187383, + 1.7945613828492284, + 1.688416296604174, + 1.5792869069639575, + 1.4691027543960542, + 1.3597708165547666, + 1.2531342012599826, + 1.1509326416826577, + 1.0547657078032475, + 0.9660595792887933, + 0.886038135782096, + 0.815699013433905, + 0.7557951539966977, + 0.7068222379691104, + 0.6690122494644086, + 0.6423332712194706, + 0.6264954571360614, + 0.620962980662364, + 0.6249716138342596, + 0.63755145741109, + 0.6575542205364051, + 0.6836843416944721, + 0.714533153996818, + 0.7486152291493332, + 0.7844059874488755, + 0.8203796369269292, + 0.8550465038191937, + 0.8869888388368699, + 0.9148942286150136, + 0.9375858080228777, + 0.9540485550181093, + 0.9634510532037528, + 0.9651622255656297, + 0.9587626730266483, + 0.9440503901631618, + 0.921040774190274, + 0.8899609885225319, + 0.8512388852096127, + 0.8054868277519827, + 0.7534808837887575, + 0.6961359727264215, + 0.6344776536658574, + 0.569611321498037, + 0.5026896417367664, + 0.4348790960016334, + 0.367326529055544, + 0.30112658450152957, + 0.23729088978861224, + 0.1767198027720141, + 0.12017746297528215, + 0.06827080268767724, + 0.0214330683503421, + -0.02008771599117083, + -0.05623504104191287, + -0.0871447956252881, + -0.11314071779116137, + -0.13472453251193783, + -0.15256103392301074, + -0.1674585026281739, + -0.18034497124103985, + -0.19224096094937043, + -0.20422940567672399, + -0.21742355597810625, + -0.23293371020386014, + -0.2518336542655281, + -0.2751277026478504, + -0.30371922180656447, + -0.3383814830200503, + -0.3797316359397896, + -0.42820851787386227, + -0.48405491911743603, + -0.547304813760433, + -0.6177759411111187, + -0.6950679882723837, + -0.7785664828562817, + -0.86745235986382, + -0.9607170220256621, + -1.0571825720307735, + -1.155526761611821, + -1.2543120797768479, + -1.3520182936845826, + -1.4470776635228682, + -1.5379119796246583, + -1.6229705178341434, + -1.700767979189776, + -1.7699214731444608, + -1.8291856200450494, + -1.8774848881143935, + -1.9139423418170705, + -1.9379040607917202, + -1.948958589530406, + -1.9469508952423151, + -1.9319904420117608, + -1.9044531302669734, + -1.8649769982751385, + -1.8144517332541403, + -1.754002190040664, + -1.6849662613815988, + -1.6088675822217828, + -1.5273836774339047, + -1.4423102751331245, + -1.3555226032466179, + -1.2689345629913857, + -1.1844567274529347, + -1.1039541451794437, + -1.0292049367936438, + -0.9618606568422373, + -0.9034093537978372, + -0.8551421992275416, + -0.8181244741258391, + -0.7931715982763872, + -0.7808307697269025, + -0.7813686489112419, + -0.7947653788498392, + -0.8207150826794413, + -0.8586328261556992, + -0.9076678794715187, + -0.9667229634667753, + -1.0344790236979995, + -1.1094249453290908, + -1.1898915055612105, + -1.2740887611575014, + -1.360145988930477, + -1.446153238764176, + -1.5302035232300693, + -1.6104346559568192, + -1.6850697628820692, + -1.7524555260155015, + -1.8110972774673468, + -1.859690140781619, + -1.897145515077837, + -1.9226123127006698, + -1.9354924901479678, + -1.9354505518027696, + -1.9224168529849406, + -1.8965846794430872, + -1.8584012309246225, + -1.808552783198296, + -1.747944442266797, + -1.6776750330939694, + -1.5990077798516886, + -1.5133375326858276, + -1.4221553749473466, + -1.3270115028484184, + -1.2294773052215122, + -1.1311075836742388, + -1.0334038427106982, + -0.9377795456776233, + -0.8455281766065148, + -0.757794871623354, + -0.6755522885564778, + -0.5995812721218284, + -0.5304567474311072, + -0.4685391397088384, + -0.4139714764230399, + -0.3666821830979015, + -0.32639343952726313, + -0.2926348225683553, + -0.2647618286834464, + -0.24197874723432736, + -0.22336524726535079, + -0.20790594882588578, + -0.1945221770531849, + -0.18210504505606076, + -0.1695489813817361, + -0.15578481023370233, + -0.13981150778872486, + -0.12072579551420226, + -0.0977487903287938, + -0.07024901025820886, + -0.03776113089419611, + -3.768186435540968e-16 + ], + [ + 0, + 0.045465032762772584, + 0.09614914801097968, + 0.15166632347326767, + 0.21145146143059884, + 0.27477576447319885, + 0.34076679216347794, + 0.4084326718198186, + 0.47668982702033935, + 0.5443934940058932, + 0.6103702213242999, + 0.6734514937233499, + 0.7325075888737455, + 0.7864807658398445, + 0.8344168975986005, + 0.8754946960386355, + 0.9090517358823812, + 0.9346065624438145, + 0.9518762651252246, + 0.9607890116631796, + 0.9614911645421222, + 0.9543487375510032, + 0.9399430937507987, + 0.9190609325602933, + 0.8926787595798159, + 0.8619421744893477, + 0.8281404463074139, + 0.7926769680962353, + 0.7570362917335612, + 0.7227485348788073, + 0.6913520243956269, + 0.6643550913875496, + 0.6431979613155986, + 0.6292156876137047, + 0.6236030585956093, + 0.6273823656375555, + 0.6413748565830595, + 0.6661766135619005, + 0.7021394909749726, + 0.7493576297671516, + 0.8076599311956768, + 0.8766087303405965, + 0.9555047600907123, + 1.043398343936645, + 1.1391066043540217, + 1.241236326592996, + 1.348211978927675, + 1.4583082632875606, + 1.5696864578393872, + 1.6804337182997764, + 1.7886044298974253, + 1.892262648842097, + 1.989524642237757, + 2.0786005293729053, + 2.1578340454211906, + 2.225739490386443, + 2.281034990643652, + 2.322671286118482, + 2.3498553609495834, + 2.3620683568575087, + 2.3590773434611085, + 2.340940665160936, + 2.308006736418732, + 2.260906312603427, + 2.200538418271195, + 2.128050265039363, + 2.0448116334491173, + 1.9523843239354528, + 1.8524873980632819, + 1.7469590297351534, + 1.6377158647479026, + 1.5267108439797608, + 1.415890479268111, + 1.307152580900341, + 1.2023054213824456, + 1.1030292821596521, + 1.0108412692092532, + 0.9270642014339335, + 0.852800274599014, + 0.7889100856920663, + 0.7359974709569218, + 0.6944004687178925, + 0.6641885689688681, + 0.6451662592261374, + 0.6368827240792765, + 0.6386474079495487, + 0.6495510103989911, + 0.6684913543460597, + 0.6942034528727377, + 0.725293002730674, + 0.7602724545191727, + 0.7975987526789003, + 0.8357118042539342, + 0.8730727245898393, + 0.9082009209436939, + 0.9397091109850022, + 0.9663354313912488, + 0.9869718706658763, + 1.00068835789621, + 1.0067519529315017, + 1.0046407105065895, + 0.9940519279504965, + 0.974904629843238, + 0.9473362897022635, + 0.9116939348094072, + 0.8685199219714467, + 0.8185328058001353, + 0.7626038436622842, + 0.7017297897361935, + 0.6370027219291476, + 0.5695777175035794, + 0.500639244354186, + 0.43136716373165673, + 0.36290324613795205, + 0.29631908501699755, + 0.23258625320591636, + 0.17254948593510058, + 0.11690359304985909, + 0.06617470415229511, + 0.02070633605722843, + -0.019349354767221865, + -0.05403490802160528, + -0.08358539856542917, + -0.10842083728285835, + -0.12913333482376219, + -0.14646936639103791, + -0.16130760430954436, + -0.1746329018011203, + -0.18750711323335204, + -0.20103752050884985, + -0.21634370005662157, + -0.23452370840962616, + -0.2566204854690337, + -0.28358937269542467, + -0.31626761863706937, + -0.3553466969905759, + -0.4013481939382624, + -0.45460393350390405, + -0.515240904292214, + -0.5831714308455067, + -0.6580889009563271, + -0.7394692199108671, + -0.8265780173162031, + -0.918483485527803, + -1.0140745844249865, + -1.1120842090122431, + -1.2111167875422928, + -1.3096796618209903, + -1.4062175010128952, + -1.4991489181812823, + -1.5869043970808323, + -1.6679645969848333, + -1.740898086637632, + -1.8043975652723476, + -1.857313658934305, + -1.8986854334299692, + -1.927766839840283, + -1.94404840291933, + -1.947273574574032, + -1.9374493012788891, + -1.9148504926409475, + -1.8800182250172115, + -1.83375166550984, + -1.7770938541093104, + -1.7113116314756902, + -1.6378701431561722, + -1.5584024843973912, + -1.4746751698270952, + -1.388550216174367, + -1.3019447112891356, + -1.216788806885764, + -1.1349831140597604, + -1.058356498649954, + -0.9886252674576732, + -0.9273547062977366, + -0.8759238775386059, + -0.8354945094593014, + -0.8069847142163883, + -0.791048157780808, + -0.7880591766164273, + -0.7981041952476389, + -0.8209796496160112, + -0.8561964668819039, + -0.9029909968352007, + -0.9603421371199192, + -1.026994247768232, + -1.1014853136447809, + -1.1821796896452956, + -1.2673046558746943, + -1.3549899211531522, + -1.4433091452069813, + -1.5303225044256825, + -1.6141193041843025, + -1.6928596429401372, + -1.7648141595229332, + -1.8284009445672316, + -1.8822187686333571, + -1.9250758714388851, + -1.9560136664889978, + -1.9743248405279876, + -1.9795654645403107, + -1.9715608791195587, + -1.9504052682984223, + -1.9164549886728572, + -1.870315871110334, + -1.8128248568202057, + -1.7450264645534146, + -1.6681447078998244, + -1.5835511880980537, + -1.4927301758937923, + -1.3972415636655668, + -1.2986826146794597, + -1.1986494588827796, + -1.0986992836224119, + -1.0003141431821563, + -0.9048672637632389, + -0.81359265173499, + -0.7275587244419656, + -0.6476465768399067, + -0.57453337644625, + -0.5086812465925503, + -0.4503318571035039, + -0.39950679584835125, + -0.3560136477758648, + -0.31945756373658696, + -0.28925796322666586, + -0.264669886608052, + -0.24480939657447265, + -0.2286823285202122, + -0.21521560751023633, + -0.2032902877672917, + -0.19177543049686152, + -0.1795619184302288, + -0.16559531107498607, + -0.1489068731373822, + -0.12864195916329346, + -0.10408500882074906, + -0.07468049758121606, + -0.040049294538062365, + -3.9850789546107064e-16 + ], + [ + 0, + 0.04779580263408041, + 0.1007090130060258, + 0.1582560617046988, + 0.2197804116085305, + 0.2844707627503359, + 0.3513836969716701, + 0.41947016529032377, + 0.4876051193000303, + 0.5546195041228591, + 0.6193337665860784, + 0.6805919900393997, + 0.7372957476658136, + 0.7884367697996231, + 0.8331275475946532, + 0.8706290447466803, + 0.9003747596620137, + 0.9219904707360106, + 0.9353091050235147, + 0.9403802928708309, + 0.9374743049862122, + 0.9270802106063758, + 0.9098982423101065, + 0.8868265009516246, + 0.8589422794181245, + 0.8274784227998175, + 0.7937952715900776, + 0.7593488504403381, + 0.725656064832208, + 0.6942577492458323, + 0.666680470905694, + 0.6443980313914068, + 0.6287936232821516, + 0.6211235901081721, + 0.6224837053504914, + 0.633778830788035, + 0.655696737437656, + 0.6886867755045046, + 0.7329439654897856, + 0.7883989536596193, + 0.8547141346014518, + 0.9312860950143754, + 1.0172543798356533, + 1.111516428054483, + 1.2127483748871355, + 1.3194312730986977, + 1.4298821527084968, + 1.5422892184136947, + 1.6547503807829158, + 1.7653142331794889, + 1.8720225235742753, + 1.972953130483202, + 2.0662625362368354, + 2.150226799094961, + 2.2232800581983154, + 2.284049661248483, + 2.3313870827966996, + 2.364393899231304, + 2.3824422026127188, + 2.385188966606276, + 2.3725840207286413, + 2.3448714404827693, + 2.302584317032032, + 2.2465330270628163, + 2.177787277589765, + 2.0976523479229003, + 2.007640088257957, + 1.9094353580381822, + 1.8048586943682237, + 1.6958260887457342, + 1.5843068170913945, + 1.472280311902509, + 1.361693085290353, + 1.2544167072341579, + 1.152207814739931, + 1.056671075468286, + 0.9692259551049471, + 0.8910780431453375, + 0.8231955792012575, + 0.7662916942009254, + 0.7208127410998824, + 0.6869329413954735, + 0.6645554204929544, + 0.6533195505719457, + 0.6526143678348274, + 0.6615976855983774, + 0.6792203891673548, + 0.7042552761035159, + 0.7353296993428164, + 0.7709611831791446, + 0.8095951155184441, + 0.8496435755868992, + 0.8895243354678085, + 0.927699076878871, + 0.9627098913281222, + 0.9932131814589514, + 1.0180101527012775, + 1.0360731754415053, + 1.0465674064752515, + 1.0488671817523965, + 1.0425668272421482, + 1.0274856777339803, + 1.0036672409496281, + 0.9713725927663985, + 0.9310682349238681, + 0.8834087856641929, + 0.829215002870061, + 0.7694477551986889, + 0.705178656586305, + 0.6375581608432284, + 0.567781973871916, + 0.4970566798339884, + 0.42656549343691313, + 0.3574350430539331, + 0.2907040588647893, + 0.22729478742218964, + 0.1679878803810461, + 0.11340141246911799, + 0.06397457450036673, + 0.01995646412377038, + -0.018599736805056017, + -0.05183705044205743, + -0.0800894537854084, + -0.10387123398401747, + -0.12386123118714305, + -0.14088238596573086, + -0.1558771316688456, + -0.1698792816399524, + -0.1839831542168142, + -0.19931075250030925, + -0.21697786910215733, + -0.2380600170933532, + -0.2635590963562984, + -0.29437168925553, + -0.33125984133123293, + -0.3748251225103904, + -0.42548668360084735, + -0.4834639235801702, + -0.548764267878979, + -0.6211764293595766, + -0.7002693852133076, + -0.7853971580085038, + -0.875709341248684, + -0.9701671627612574, + -1.0675647367295986, + -1.1665550207997164, + -1.2656798718348474, + -1.3634034856738155, + -1.4581484154307132, + -1.5483332917836634, + -1.632411319182725, + -1.708908595270764, + -1.7764612977990555, + -1.8338508040880468, + -1.880035852198511, + -1.9141809194235033, + -1.935680080914813, + -1.9441757171276057, + -1.9395715607454602, + -1.9220397088713759, + -1.8920213712435394, + -1.8502212765116781, + -1.797595812481505, + -1.7353351289200158, + -1.6648395792542547, + -1.5876910166459752, + -1.5056195870447973, + -1.4204667737640977, + -1.334145542105201, + -1.2485985062335845, + -1.1657550920371575, + -1.0874886977653333, + -1.0155748581267972, + -0.9516513970746396, + -0.8971815101886977, + -0.8534206504201729, + -0.8213880025988185, + -0.8018432246445272, + -0.7952690094697287, + -0.8018598841088284, + -0.8215175150005484, + -0.8538526341632239, + -0.8981935439888178, + -0.9536010023554704, + -1.0188891385140186, + -1.0926519074168006, + -1.17329445929575, + -1.2590686855367437, + -1.3481121040430384, + -1.4384891696977198, + -1.5282340400900694, + -1.6153937946882644, + -1.6980710978682851, + -1.7744653128009613, + -1.8429111137130771, + -1.9019137074452295, + -1.9501798599402254, + -1.9866440272021153, + -2.010489010789749, + -2.0211606920694267, + -2.018376543936612, + -2.002127769967877, + -1.9726750752609867, + -1.9305382267759723, + -1.8764797100405552, + -1.8114829299854698, + -1.7367255329932683, + -1.6535485418348903, + -1.5634220922587123, + -1.4679086372521517, + -1.3686245405764554, + -1.267201013781614, + -1.1652453598122334, + -1.0643034713774806, + -0.9658244939301859, + -0.8711285024130152, + -0.7813779594666943, + -0.697553622652286, + -0.6204354519719611, + -0.5505889395318153, + -0.48835714384770096, + -0.43385856556307756, + -0.3869908528899505, + -0.3474401776236245, + -0.31469597981094, + -0.28807064463613236, + -0.2667235521820611, + -0.24968883248362056, + -0.235906067398582, + -0.22425310952338118, + -0.21358013842700263, + -0.20274404707658025, + -0.1906422471272802, + -0.1762450008063969, + -0.15862542891321946, + -0.13698640788674593, + -0.11068365232453294, + -0.079244380627897, + -0.04238107801364402, + -4.203848327372583e-16 + ], + [ + 0, + 0.0501047188903241, + 0.10517721486040862, + 0.16463846648027397, + 0.22774425924349906, + 0.2936061144955236, + 0.3612163725519603, + 0.42947676654470135, + 0.4972297310087285, + 0.5632916159872811, + 0.626486925364666, + 0.6856826685798882, + 0.7398219086098019, + 0.7879556063313066, + 0.8292719016808032, + 0.8631220344468296, + 0.8890421905222055, + 0.9067706609494309, + 0.9162598185933117, + 0.9176825478379864, + 0.9114329030689672, + 0.8981209183501837, + 0.8785616399630132, + 0.8537586015882822, + 0.8248821051540121, + 0.7932428051264895, + 0.7602612168802458, + 0.7274338776241721, + 0.6962969784352137, + 0.6683883559444037, + 0.6452087803149343, + 0.6281835010727814, + 0.6186250133960803, + 0.6176979845315597, + 0.6263872335729831, + 0.6454695889810066, + 0.6754903585787533, + 0.7167450384752052, + 0.7692667630686827, + 0.8328198609875682, + 0.9068997348858734, + 0.9907391300239478, + 1.0833207012835846, + 1.1833956345103789, + 1.2895079296329537, + 1.4000238135434444, + 1.513165623686852, + 1.6270493918489612, + 1.7397252645257897, + 1.849219823827372, + 1.9535793229352607, + 2.0509128239666468, + 2.139434224386148, + 2.217502180937147, + 2.2836569869237686, + 2.336653528457582, + 2.3754895363218935, + 2.3994284602102023, + 2.408016418604335, + 2.4010928174079877, + 2.3787943802505174, + 2.341552489486102, + 2.2900838955410783, + 2.2253750095510556, + 2.1486601463553625, + 2.0613942281814333, + 1.9652205902755921, + 1.8619346451412324, + 1.7534442591339208, + 1.6417277715879457, + 1.5287906405701774, + 1.4166217294867083, + 1.3071502544013693, + 1.2022043929590067, + 1.10347251273951, + 1.0124679107902246, + 0.9304978686464983, + 0.8586377205266061, + 0.7977105092194484, + 0.7482726675149802, + 0.7106060162286469, + 0.6847162165558437, + 0.6703376584284854, + 0.666944611561369, + 0.6737683157663227, + 0.689819545544337, + 0.7139160543898938, + 0.744714189804516, + 0.7807438734852502, + 0.8204460648472887, + 0.8622117717730385, + 0.9044216415177593, + 0.9454851577314004, + 0.9838784866675795, + 1.0181800563385046, + 1.0471030155491825, + 1.0695238037610038, + 1.0845061654353518, + 1.0913200612739689, + 1.0894550605936097, + 1.078627940617727, + 1.058784366173743, + 1.0300946734401637, + 0.9929439302302175, + 0.9479165891049789, + 0.8957761847895778, + 0.8374406505545379, + 0.7739539363599973, + 0.7064547019658853, + 0.6361429286567543, + 0.5642453419910048, + 0.4919805638821074, + 0.4205249147510061, + 0.35097976544135084, + 0.28434129463913316, + 0.22147344183738488, + 0.16308476013228834, + 0.1097097695290597, + 0.061695292622023536, + 0.01919212352128265, + -0.017847758938671205, + -0.04966836780116307, + -0.0767013552264483, + -0.09955235580680756, + -0.1189823902178811, + -0.1358848229702713, + -0.15125848492050548, + -0.16617767251258023, + -0.1817598188676602, + -0.1991316946937942, + -0.21939503793331283, + -0.24359252903710846, + -0.27267502326420123, + -0.3074709225540251, + -0.3486585179979046, + -0.39674206100684806, + -0.4520322287364897, + -0.5146315394839812, + -0.5844251493513615, + -0.6610773255813254, + -0.7440337480135527, + -0.8325296416904416, + -0.925603594486244, + -1.022116767494833, + -1.1207770664724401, + -1.2201677134154907, + -1.3187795416358183, + -1.4150462384197788, + -1.5073816790652126, + -1.5942184368522225, + -1.67404651687212, + -1.7454513486054093, + -1.8071500831099583, + -1.8580252754647908, + -1.8971550909297037, + -1.9238392527694896, + -1.937620048955373, + -1.9382978316020454, + -1.9259405741969746, + -1.900887194232782, + -1.863744499279077, + -1.815377769140398, + -1.756895141743934, + -1.6896261219690945, + -1.615094677032686, + -1.5349875157096569, + -1.4511182682891166, + -1.3653883867686099, + -1.2797456678189474, + -1.196141362428408, + -1.1164868743088787, + -1.0426110631348262, + -0.9762191581007491, + -0.9188542523365111, + -0.8718622902257283, + -0.8363613790197835, + -0.8132161552649712, + -0.803017817895362, + -0.806070306259642, + -0.8223829560849135, + -0.8516698129597936, + -0.8933556250705968, + -0.9465883784846209, + -1.0102580830956045, + -1.0830213692009225, + -1.16333131716836, + -1.2494718191115217, + -1.3395956649243645, + -1.431765458006088, + -1.5239964006390698, + -1.6142999468323993, + -1.7007273025121081, + -1.7814117596310535, + -1.8546088818882203, + -1.9187336144929272, + -1.9723934674082777, + -2.0144170188420083, + -2.043877101006254, + -2.0601081604892775, + -2.0627174277550204, + -2.051589680807401, + -2.026885543223581, + -1.9890334127638511, + -1.9387152697820562, + -1.8768467609467652, + -1.8045520897700384, + -1.7231343678192632, + -1.634042186291682, + -1.538833254310231, + -1.439136015780042, + -1.336610199382551, + -1.232907275299867, + -1.1296317871659864, + -1.028304498742345, + -0.9303282427126898, + -0.8369572851582456, + -0.7492709256161458, + -0.6681519415377021, + -0.5942703602718066, + -0.5280729045834683, + -0.46977831263541947, + -0.41937858396112493, + -0.37664605298882503, + -0.3411460448929843, + -0.3122547286197105, + -0.28918165234486937, + -0.270996330601586, + -0.2566581527354587, + -0.24504880167235135, + -0.23500631219823645, + -0.2253598605095212, + -0.21496436258907056, + -0.20273396830679688, + -0.1876735707511889, + -0.16890750530274268, + -0.14570468893276062, + -0.11749954519667319, + -0.0839081719584972, + -0.04473933418560194, + -4.4228406291887707e-16 + ], + [ + 0, + 0.05237357706344086, + 0.10951785553221177, + 0.17076139360012874, + 0.23527695579734423, + 0.3021050332875734, + 0.3701811901334405, + 0.4383665102864555, + 0.5054803376156735, + 0.5703344394772893, + 0.6317676847348651, + 0.6886803107965594, + 0.7400668615868166, + 0.7850469092644643, + 0.8228927261931951, + 0.8530531488454821, + 0.8751729701165796, + 0.8891073085849289, + 0.8949305297852059, + 0.892939432398685, + 0.8836505579617137, + 0.8677916325928331, + 0.8462872995764058, + 0.8202394486313943, + 0.7909025876306296, + 0.759654831880025, + 0.7279652015381123, + 0.6973580164132936, + 0.6693752566924062, + 0.6455378160800724, + 0.6273066088435861, + 0.6160445034101402, + 0.6129800420920342, + 0.6191738694631687, + 0.6354887317159328, + 0.662563827408058, + 0.7007941883234682, + 0.7503156501741136, + 0.8109958394505805, + 0.8824314581411434, + 0.9639519958189541, + 1.0546298424787022, + 1.1532966193252883, + 1.2585653923251419, + 1.3688582884874307, + 1.482438901130268, + 1.5974487511212987, + 1.7119469692277343, + 1.8239522828096073, + 1.9314863301964893, + 2.0326172897185484, + 2.12550279845832, + 2.208431148690494, + 2.2798597874152167, + 2.3384502054951, + 2.383098386224647, + 2.412960086694177, + 2.4274703465620076, + 2.4263567548858305, + 2.4096461531895113, + 2.377664608374317, + 2.3310306486477246, + 2.270641915459764, + 2.1976555406203957, + 2.1134627065243046, + 2.0196579851158565, + 1.9180041745419372, + 1.8103934583717327, + 1.6988057982447948, + 1.58526553476556, + 1.471797211858271, + 1.3603816556728134, + 1.2529133301328519, + 1.151159957595541, + 1.0567253357030133, + 0.971016201787398, + 0.8952138961261947, + 0.8302514574134853, + 0.7767966509288543, + 0.7352412853274943, + 0.7056970213005873, + 0.687997718316907, + 0.6817082081081356, + 0.6861392293600977, + 0.7003681109895417, + 0.723264655007727, + 0.7535215476138838, + 0.7896885217869892, + 0.8302094087916599, + 0.8734611517340055, + 0.9177938131100777, + 0.9615705911220658, + 1.0032068667395022, + 1.041207334792793, + 1.074200326947552, + 1.10096851078794, + 1.120475245465611, + 1.1318859879897107, + 1.1345842723571624, + 1.128181923112787, + 1.1125233120726346, + 1.0876836181441862, + 1.0539612016427824, + 1.0118643524456465, + 0.9620928120498868, + 0.9055145996031582, + 0.8431387880248461, + 0.7760849755560494, + 0.7055502780196704, + 0.6327747257756147, + 0.5590059853945739, + 0.48546433859164745, + 0.41330883969415155, + 0.343605538200183, + 0.2772985957379465, + 0.21518504844784128, + 0.15789386849482073, + 0.10586986456859547, + 0.0593628337495234, + 0.018422239254438796, + -0.01710245616499803, + -0.047555819341486893, + -0.07346500388622129, + -0.09552314410590032, + -0.11456802945164879, + -0.1315566271076718, + -0.1475361296169494, + -0.16361229643941497, + -0.18091593069735507, + -0.200568383229492, + -0.22364700413592264, + -0.2511514665108306, + -0.2839718678810727, + -0.3228594724451908, + -0.36840089257339687, + -0.42099642277921945, + -0.4808431356226523, + -0.5479232293361693, + -0.6219979843658522, + -0.7026075438067285, + -0.7890765844478503, + -0.8805257945503713, + -0.9758889253477308, + -1.0739350393385938, + -1.1732954433751084, + -1.2724946717510555, + -1.3699847770877822, + -1.464182097542037, + -1.5535056000151939, + -1.6364158524179064, + -1.7114536548785133, + -1.777277360736281, + -1.8326979432905517, + -1.8767109130424013, + -1.908524261434683, + -1.9275816991765948, + -1.9335805679163103, + -1.926483930619522, + -1.9065264854424506, + -1.874214096748977, + -1.8303168915667383, + -1.7758560264088485, + -1.712084384151605, + -1.6404616097380131, + -1.5626240331884875, + -1.4803501552841114, + -1.395522482194123, + -1.3100865874865941, + -1.226008351083476, + -1.145230373007621, + -1.0696285839876232, + -1.0009700744931358, + -0.9408731385332424, + -0.8907704791335669, + -0.8518764499804454, + -0.8251591140128473, + -0.8113177870100551, + -0.8107666051882927, + -0.8236245136070368, + -0.8497119202455838, + -0.8885541026320509, + -0.9393912937297009, + -1.0011952153036714, + -1.0726916740581542, + -1.1523886921681796, + -1.2386095129223744, + -1.3295297072215129, + -1.423217510430402, + -1.5176764438847352, + -1.610889223022719, + -1.7008619258929982, + -1.7856673923460895, + -1.863486845597511, + -1.9326487735009232, + -1.991664175639145, + -2.0392573725133145, + -2.074391682448074, + -2.0962893976276833, + -2.104445629828811, + -2.0986357454919813, + -2.0789162651080586, + -2.0456192596744587, + -1.9993404333296687, + -1.9409212323786889, + -1.8714254630864955, + -1.7921110303797805, + -1.7043975238097422, + -1.6098304730310649, + -1.510043170342875, + -1.4067170107287186, + -1.3015413290940054, + -1.1961737193877462, + -1.0922018009695709, + -0.991107354504258, + -0.8942336839823415, + -0.8027569748836648, + -0.7176623132421833, + -0.6397249091148574, + -0.5694969337768256, + -0.5073002362458664, + -0.45322505509712896, + -0.4071346897206237, + -0.3686759450006859, + -0.33729501861134453, + -0.3122583643353281, + -0.2926779414055756, + -0.2775401518993473, + -0.2657376783566458, + -0.25610336425887253, + -0.24744523248956107, + -0.23858171255091254, + -0.22837614668898568, + -0.2157696681518824, + -0.19981159093891118, + -0.1796865183861106, + -0.15473746601788513, + -0.12448440001574929, + -0.08863771370639403, + -0.04710629756707001, + -4.640365548799258e-16 + ], + [ + 0, + 0.05458419976227162, + 0.11369556713851763, + 0.17657419362191393, + 0.2423153424127919, + 0.3098954005948259, + 0.37820128874637166, + 0.4460625462318613, + 0.5122852389843069, + 0.5756867869699309, + 0.635130781999988, + 0.6895608638223737, + 0.7380327435872598, + 0.7797435083358512, + 0.8140574070190808, + 0.8405274060607718, + 0.8589119084631093, + 0.8691861522691879, + 0.8715479388041567, + 0.8664174851431646, + 0.854431345089077, + 0.8364304948217747, + 0.8134428294818555, + 0.7866604614901146, + 0.7574123467277473, + 0.7271328873816312, + 0.6973272671744292, + 0.6695343631184022, + 0.6452881455787204, + 0.6260785235444368, + 0.6133126133792871, + 0.6082774063452431, + 0.612104782850037, + 0.6257397702627479, + 0.6499128674588003, + 0.6851171647510482, + 0.7315908748119139, + 0.7893057613332811, + 0.8579618106446891, + 0.9369883407759418, + 1.0255515862029325, + 1.1225686385949194, + 1.2267274681770626, + 1.3365126006762993, + 1.4502358849323753, + 1.5660716595962885, + 1.6820955170532261, + 1.7963257715461043, + 1.9067666687227873, + 2.011452327245715, + 2.1084903808802884, + 2.196104292214486, + 2.2726733368406102, + 2.3367693088219617, + 2.387189073346307, + 2.422982188839736, + 2.443472936160518, + 2.448276224026745, + 2.4373069843691773, + 2.4107828253354757, + 2.369219869463639, + 2.313421866207073, + 2.2444628276007967, + 2.1636635895260974, + 2.0725628450230724, + 1.9728833269168695, + 1.8664939314871087, + 1.7553686702446412, + 1.6415434107785478, + 1.5270714183176388, + 1.413978735902842, + 1.3042204422766546, + 1.1996388027640974, + 1.1019242801604654, + 1.012580301166433, + 0.9328925810008507, + 0.8639036967782451, + 0.8063934718315882, + 0.7608655915578222, + 0.7275407200502813, + 0.7063562294777737, + 0.6969724947348133, + 0.6987855482275569, + 0.7109457376305162, + 0.732381886759909, + 0.7618303298329615, + 0.7978680754685282, + 0.8389492615830337, + 0.8834439881296715, + 0.9296785631771937, + 0.9759761703215861, + 1.0206969624676498, + 1.0622766085992326, + 1.0992623656586613, + 1.1303458158703934, + 1.1543914990019026, + 1.170460776872459, + 1.1778303911556696, + 1.1760053120424423, + 1.1647256211956643, + 1.143967323968487, + 1.1139371392747646, + 1.0750614669535064, + 1.0279698781776725, + 0.9734736107905737, + 0.9125396750216935, + 0.8462612827748, + 0.7758254029332419, + 0.7024783136968391, + 0.6274900691797958, + 0.5521188202510767, + 0.47757592836913926, + 0.4049927860357675, + 0.3353902091531237, + 0.26965119628001866, + 0.2084977593639849, + 0.15247242229564048, + 0.10192486035680617, + 0.057004018456582, + 0.017655902409355793, + -0.01637291094382652, + -0.04552614846408879, + -0.07042335073012328, + -0.09184040804262279, + -0.11068564334891082, + -0.12797207990240897, + -0.14478663203784528, + -0.16225703913076833, + -0.1815174235322002, + -0.20367339146668118, + -0.22976761056154923, + -0.26074678843572696, + -0.2974309438182789, + -0.34048580578868176, + -0.3903990993078615, + -0.44746137816138987, + -0.5117519521792682, + -0.5831303269824413, + -0.6612334347513438, + -0.7454787871181731, + -0.835073529951727, + -0.9290292283364506, + -1.0261820622608773, + -1.1252179731551917, + -1.2247021720054259, + -1.3231123046071278, + -1.4188744715402095, + -1.5104012221602778, + -1.5961305853364565, + -1.6745651663087, + -1.7443103298014333, + -1.8041105047283326, + -1.8528826851600368, + -1.889746264806944, + -1.9140484266163846, + -1.9253844131771318, + -1.9236121249489162, + -1.9088606289416734, + -1.8815323070494583, + -1.8422985272085193, + -1.792088878118886, + -1.7320741655674994, + -1.663643521540229, + -1.5883761225268782, + -1.5080081471121816, + -1.4243957217892518, + -1.3394747049715743, + -1.2552182398914837, + -1.1735930654278266, + -1.0965156084219485, + -1.025808890821578, + -0.9631612697448979, + -0.9100879886064265, + -0.8678964537216525, + -0.8376560648246729, + -0.8201733217542914, + -0.8159728057498142, + -0.8252844953425236, + -0.8480377270882856, + -0.8838619539956059, + -0.9320942932854123, + -0.9917936939931695, + -1.0617613978089804, + -1.1405672172676267, + -1.2265810175778167, + -1.3180086653668794, + -1.4129316023993657, + -1.509349117455608, + -1.605222327078739, + -1.6985188373183957, + -1.7872570448303813, + -1.8695490470420684, + -1.943641167254176, + -2.00795116060486, + -2.0611012492719185, + -2.1019462380846647, + -2.1295960823154387, + -2.1434324148440007, + -2.1431186867992986, + -2.1286037305686616, + -2.1001187129225274, + -2.058167605038532, + -2.0035114515290626, + -1.9371468683874173, + -1.8602793364670085, + -1.7742919793743606, + -1.680710619530967, + -1.581165991117147, + -1.4773540516258514, + -1.3709953733448652, + -1.263794611353032, + -1.1574010352646014, + -1.0533710782998664, + -0.9531338002158722, + -0.8579600816906315, + -0.7689362689513363, + -0.6869428712923455, + -0.6126387835883812, + -0.5464513642695467, + -0.4885725500538763, + -0.4389610357750572, + -0.3973503947298988, + -0.3632628659242458, + -0.3360283931348394, + -0.3148083703491708, + -0.2986234321314258, + -0.2863845286615542, + -0.27692644604131017, + -0.26904287489455786, + -0.2615220957037066, + -0.25318233853593486, + -0.24290588803961147, + -0.2296710414479648, + -0.21258108683512664, + -0.19088954948341436, + -0.16402105386503213, + -0.1315872648651055, + -0.09339750151250895, + -0.04946375633905382, + -4.854713071472521e-16 + ], + [ + 0, + 0.056718621464030616, + 0.11767587801724162, + 0.18202824608241866, + 0.24879982996478, + 0.31691056076119356, + 0.385207446604952, + 0.4524980418730439, + 0.5175852433968797, + 0.5793024849566577, + 0.6365483883588122, + 0.6883199405517371, + 0.7337433012760032, + 0.7721014038187226, + 0.80285759111398, + 0.8256746287235806, + 0.8404285526699254, + 0.8472169407663173, + 0.8463613377280051, + 0.8384037133978682, + 0.8240969861399478, + 0.8043897959996235, + 0.7804058607561192, + 0.7534183887497662, + 0.7248201517890193, + 0.6960899362431727, + 0.6687561876777451, + 0.6443587415949436, + 0.6244095880013045, + 0.6103536491844764, + 0.6035305573702943, + 0.6051384015844846, + 0.6162003714085984, + 0.6375351603505239, + 0.6697319047823658, + 0.7131303279141702, + 0.7678066346470246, + 0.8335655653908991, + 0.9099388684059481, + 0.9961902945700034, + 1.0913270595134272, + 1.1941175597090832, + 1.3031149752671198, + 1.4166862466651142, + 1.5330457790498329, + 1.650293109396172, + 1.7664536716509232, + 1.8795217155300137, + 1.9875043778786516, + 2.0884658728899477, + 2.1805707598626407, + 2.26212526480329, + 2.33161567466306, + 2.3877428893536625, + 2.429452305333311, + 2.455958313365142, + 2.466762819404189, + 2.4616673384084704, + 2.4407783627818085, + 2.404505866453133, + 2.353554968408879, + 2.2889109418632825, + 2.211817913226876, + 2.1237517447737577, + 2.0263877327719215, + 1.9215638754770892, + 1.8112405698215024, + 1.6974576793231675, + 1.5822899766751373, + 1.4678020011831971, + 1.356003382832651, + 1.2488056710243878, + 1.1479816672919945, + 1.0551281985720269, + 0.9716331824121827, + 0.8986477299801505, + 0.8370639094867861, + 0.7874986547016402, + 0.7502841540120364, + 0.7254648986272016, + 0.712801407905858, + 0.7117804893250258, + 0.7216317342348482, + 0.7413498020764572, + 0.7697219087933146, + 0.8053598130663611, + 0.8467354897025675, + 0.8922195955132519, + 0.940121771334794, + 0.9887317859167437, + 1.036360514088324, + 1.081379753159793, + 1.1222599175521337, + 1.1576047112017775, + 1.1861819588027718, + 1.206949878330642, + 1.2190781959568293, + 1.2219636374030816, + 1.2152394736463628, + 1.1987789500484167, + 1.1726925826570869, + 1.1373194597378526, + 1.0932128366893898, + 1.041120454635916, + 0.9819601436372413, + 0.9167913873748804, + 0.8467836244939473, + 0.7731821400859591, + 0.6972724571730836, + 0.6203441711379275, + 0.5436551790593525, + 0.46839724069322375, + 0.3956637688150906, + 0.3264206848544368, + 0.2614810928023516, + 0.20148442240129807, + 0.14688057423841205, + 0.09791946758349507, + 0.05464624999576297, + 0.01690227947512772, + -0.015668160979881728, + -0.043605606293646536, + -0.06761794438324414, + -0.08855821418841779, + -0.10739826152137921, + -0.12519895639734618, + -0.14307776629420046, + -0.16217455024945399, + -0.18361648703215686, + -0.2084830755805917, + -0.23777214681584538, + -0.272367802773787, + -0.3130111522973343, + -0.36027464344399257, + -0.4145407030018512, + -0.4759852853044798, + -0.5445668085917098, + -0.6200208205793755, + -0.7018605890989462, + -0.7893836623069318, + -0.881684289849072, + -0.9776714453514515, + -1.0760920455098297, + -1.1755588255288814, + -1.274582208161492, + -1.371605397231876, + -1.4650418390163593, + -1.553314128456417, + -1.6348933936233674, + -1.7083381723086524, + -1.7723317996480559, + -1.8257173552612946, + -1.8675292718471224, + -1.8970207832702546, + -1.9136864870952937, + -1.9172794119286332, + -1.9078221110215525, + -1.8856114471704448, + -1.8512168865106897, + -1.8054722765958746, + -1.7494612433032364, + -1.684496497686809, + -1.612093494044198, + -1.5339390204551069, + -1.4518554294164576, + -1.3677613257965744, + -1.283629619422861, + -1.2014439179438126, + -1.123154280437699, + -1.0506333724240604, + -0.9856340579214348, + -0.9297494340544321, + -0.8843762591334223, + -0.8506826473976338, + -0.8295808045862023, + -0.8217054605631083, + -0.8273985212199597, + -0.8467003150597019, + -0.8793476537859265, + -0.9247787646771362, + -0.9821449894395675, + -1.050328983571791, + -1.127968995947367, + -1.2134886640814382, + -1.3051316299006437, + -1.4010001669570515, + -1.4990969156788256, + -1.5973687507183032, + -1.6937517554904271, + -1.7862162547642295, + -1.8728108572414037, + -1.951704486375636, + -2.0212254285806797, + -2.079896502170035, + -2.126465546023181, + -2.1599305417140546, + -2.1795588138346735, + -2.1848998972723948, + -2.175791813710177, + -2.1523606588452258, + -2.1150135628575266, + -2.0644252455634273, + -2.001518540577199, + -1.9274394059472062, + -1.843527068651514, + -1.7512800638816377, + -1.6523190244740378, + -1.5483471489045135, + -1.4411093262115529, + -1.3323509219054614, + -1.2237772297971805, + -1.1170145708056884, + -1.0135739718494172, + -0.9148182871640944, + -0.8219335326472015, + -0.73590509345544, + -0.6574993388801239, + -0.5872510396871178, + -0.5254568351305294, + -0.47217484345048494, + -0.4272303546883131, + -0.3902273919726833, + -0.3605657808567239, + -0.3374632294675179, + -0.3199817985636169, + -0.3070580331452896, + -0.29753593867701233, + -0.2902019174359276, + -0.28382073563662225, + -0.2771715708734426, + -0.26908319254124596, + -0.2584673551098624, + -0.24434953469825, + -0.2258962119969146, + -0.20243799734589682, + -0.1734880043096836, + -0.1387550035747704, + -0.09815102623154388, + -0.05179323099789313, + -5.064170558417859e-16 + ], + [ + 0, + 0.05875927316336373, + 0.12142557353803689, + 0.1870774785381216, + 0.254675049497862, + 0.3230900679273443, + 0.39113888259310703, + 0.45761699090217284, + 0.5213344310726827, + 0.58115103823136, + 0.6360106185024874, + 0.6849731203491096, + 0.7272439312875651, + 0.7621994994176114, + 0.7894085712220044, + 0.8086484474984477, + 0.8199157853346135, + 0.8234316125677558, + 0.8196403687102368, + 0.8092029391652383, + 0.7929838038580677, + 0.772032573279483, + 0.7475603305441171, + 0.7209113337248971, + 0.6935307549910619, + 0.6669292388389989, + 0.6426451482543133, + 0.6222054327476549, + 0.607086094164241, + 0.5986732438503404, + 0.5982257376451282, + 0.6068403433461134, + 0.6254203394796297, + 0.6546483657023299, + 0.6949642458405182, + 0.746548386838385, + 0.8093112235936747, + 0.8828890340625388, + 0.9666462946793571, + 1.0596845868517324, + 1.1608579049762582, + 1.2687940590314601, + 1.3819217142311317, + 1.4985024701943293, + 1.6166672560849107, + 1.734456209331821, + 1.8498611165822914, + 1.9608694286995536, + 2.065508818589683, + 2.1618912325406483, + 2.2482553930807643, + 2.3230067439897737, + 2.3847538852776897, + 2.4323406263343386, + 2.4648728871248906, + 2.481739797817665, + 2.482628483669653, + 2.4675321710587528, + 2.436751408623786, + 2.390888360714641, + 2.330834294797283, + 2.2577505461022707, + 2.1730433977184234, + 2.078333458746527, + 1.9754202535294187, + 1.866242848194942, + 1.7528374340387198, + 1.637292858374252, + 1.5217051406723285, + 1.4081320339697585, + 1.2985486881323, + 1.1948054427175419, + 1.098588723632766, + 1.0113859408574641, + 0.9344551861081808, + 0.868800411897759, + 0.8151526398771042, + 0.7739575999342171, + 0.7453700458608024, + 0.7292548323021559, + 0.7251946751292632, + 0.7325043572909985, + 0.7502509885289539, + 0.7772797838128621, + 0.812244695469356, + 0.8536431208769649, + 0.8998538140117914, + 0.9491770572909664, + 0.9998761017731617, + 1.0502188599527111, + 1.0985188366334961, + 1.143174309575678, + 1.1827048220421723, + 1.2157841227021107, + 1.2412687826826683, + 1.258221832487877, + 1.2659308901579156, + 1.2639203931751835, + 1.2519576966813728, + 1.2300529557870103, + 1.1984528662446579, + 1.1576284916101833, + 1.1082575523977747, + 1.0512016899782493, + 0.9874793416717961, + 0.9182349705859221, + 0.8447054816085079, + 0.7681847214321283, + 0.6899870039465156, + 0.611410621757319, + 0.5337022995418104, + 0.45802351562071764, + 0.3854195653037427, + 0.31679216463735344, + 0.25287629808303796, + 0.19422190082312965, + 0.14118083871362905, + 0.09389950963331868, + 0.05231724265967052, + 0.016170519877632003, + -0.014997106453042272, + -0.04181967732369919, + -0.06508848845045884, + -0.08572729798796515, + -0.10476374533004691, + -0.12329774545181263, + -0.14246770327421723, + -0.16341545093604498, + -0.18725084614211362, + -0.21501698100474406, + -0.24765693769757444, + -0.2859829900990366, + -0.33064909032544415, + -0.38212739713235383, + -0.4406895016354575, + -0.5063928872027681, + -0.5790730276644203, + -0.6583413845005486, + -0.7435894130024824, + -0.833998533345115, + -0.9285558689376135, + -1.0260754052090328, + -1.1252240809059983, + -1.2245521946059392, + -1.3225273947701932, + -1.4175714251958802, + -1.508098721652376, + -1.5925559017800188, + -1.669461160405205, + -1.7374425771151005, + -1.7952743624534946, + -1.8419101130449862, + -1.8765122133160816, + -1.8984766106629596, + -1.9074522997736802, + -1.9033549777111294, + -1.8863744712363082, + -1.8569756882803157, + -1.8158930027689206, + -1.764118142298771, + -1.7028818075093959, + -1.6336294064555907, + -1.5579914330379807, + -1.4777491519808206, + -1.3947963706371738, + -1.3110981771139978, + -1.2286476023567925, + -1.1494212189444253, + -1.0753347200108063, + -1.0081995271231539, + -0.9496814559177756, + -0.9012624232592209, + -0.8642061106993849, + -0.8395284077093517, + -0.8279733467297096, + -0.8299951132204172, + -0.8457465707062635, + -0.8750745867787963, + -0.9175222848694488, + -0.9723381822671886, + -1.0384920113136449, + -1.1146968619473199, + -1.1994371336490903, + -1.291001647014934, + -1.387521143000291, + -1.4870092943114919, + -1.587406270975039, + -1.686623842790357, + -1.7825909665923632, + -1.8732987968442933, + -1.9568440742516313, + -2.031469888413759, + -2.095602875972555, + -2.147886003648922, + -2.1872061938026066, + -2.212716176034301, + -2.2238500887709045, + -2.220332506280359, + -2.202180725430443, + -2.169700308840013, + -2.123474042896021, + -2.0643446264692202, + -1.9933915552162615, + -1.9119028034780599, + -1.8213420276461734, + -1.7233121185254852, + -1.6195160131823363, + -1.5117157370571006, + -1.401690683327899, + -1.2911961478239957, + -1.1819231240065964, + -1.0754603240855238, + -0.9732593302562804, + -0.8766036959401761, + -0.7865827129486342, + -0.704070439318197, + -0.6297104472423599, + -0.5639066044718771, + -0.5068200494374229, + -0.45837236400610737, + -0.4182547921258667, + -0.38594320152396133, + -0.3607183428697326, + -0.3416908299334103, + -0.3278301485147709, + -0.31799690413557197, + -0.31097744109090897, + -0.3055199103252931, + -0.3003708320666896, + -0.2943111919497654, + -0.2861911266108706, + -0.27496229595066535, + -0.2597071033443097, + -0.23966401036880539, + -0.2142482969173949, + -0.1830677382109211, + -0.14593280411698356, + -0.10286112993985912, + -0.054076157792696054, + -5.267040044605034e-16 + ], + [ + 0, + 0.06068916492045286, + 0.12491304779147933, + 0.19167886478932714, + 0.2598904658946378, + 0.32838037654703417, + 0.3959439787430066, + 0.4613749178980982, + 0.5235007880272631, + 0.5812181383146405, + 0.6335258592096876, + 0.6795560454462715, + 0.7186014958708864, + 0.7501390941357722, + 0.773848418065111, + 0.7896250462452187, + 0.7975881650995995, + 0.7980822250084397, + 0.7916725462700718, + 0.7791349310495955, + 0.7614394920033941, + 0.7397290581072236, + 0.7152926595605222, + 0.6895347229069173, + 0.6639407214127127, + 0.6400401213715601, + 0.6193675398960221, + 0.6034230819701272, + 0.5936328526884886, + 0.5913106439121913, + 0.5976217728627843, + 0.6135500039098716, + 0.6398684150545569, + 0.6771149790270229, + 0.7255735177054213, + 0.7852605604216263, + 0.8559184947705073, + 0.9370152462564016, + 1.0277505642306235, + 1.1270688300062999, + 1.2336781427659018, + 1.3460752838633194, + 1.4625760142055662, + 1.5813500262016218, + 1.7004597546032223, + 1.8179021523611762, + 1.931652460845555, + 2.0397089503698544, + 2.140137578286899, + 2.23111550875035, + 2.31097246069635, + 2.378228898201581, + 2.431630149004514, + 2.4701756309320406, + 2.493142480000007, + 2.5001030053042115, + 2.4909355413114267, + 2.465828424271206, + 2.425276982408961, + 2.3700735953691034, + 2.3012910430215086, + 2.2202595232192617, + 2.1285378685196776, + 2.027879629593718, + 1.9201948147016208, + 1.8075081772480626, + 1.6919150245578916, + 1.5755355786692895, + 1.460468952736653, + 1.3487478137907982, + 1.2422947839680123, + 1.1428815883721282, + 1.0520918895748042, + 0.9712886580807055, + 0.9015868171274306, + 0.8438317716922527, + 0.7985842887011926, + 0.7661120416932553, + 0.7463879723568041, + 0.7390954573683745, + 0.7436401058399653, + 0.759167854404547, + 0.7845888774007195, + 0.818606692394696, + 0.8597517197287929, + 0.9064184518462431, + 0.9569053062833748, + 1.0094561773887696, + 1.0623026673993905, + 1.113705968244657, + 1.161997381507413, + 1.2056165048643883, + 1.2431461779654231, + 1.273343367410386, + 1.2951652770245956, + 1.307790093308376, + 1.3106319136170212, + 1.3033495528459278, + 1.2858490794295636, + 1.2582800894297483, + 1.2210258844405164, + 1.1746878710606676, + 1.120064642998706, + 1.0581263379216745, + 0.9899849766962944, + 0.9168615898488317, + 0.8400510125047764, + 0.7608852828996266, + 0.6806966094862019, + 0.6007808770108406, + 0.5223626426171475, + 0.44656252960665965, + 0.3743678600901228, + 0.30660728012556243, + 0.24393002431553668, + 0.18679034395599337, + 0.13543748682915707, + 0.08991147107533926, + 0.05004474396676618, + 0.015469662690159586, + -0.014368417675340521, + -0.04019281006885833, + -0.06287241324236464, + -0.08339450351357566, + -0.10283413064940918, + -0.12232093742231534, + -0.14300429074925522, + -0.1660176579418685, + -0.19244318329287702, + -0.22327741742665566, + -0.2593991245965827, + -0.3015400420794676, + -0.35025939225889985, + -0.4059228537341198, + -0.4686865851909484, + -0.5384867676433124, + -0.6150349902084181, + -0.6978196553409712, + -0.786113425173086, + -0.8789865751705099, + -0.9753259686419685, + -1.0738592195838819, + -1.1731834756053934, + -1.2717981307052042, + -1.368140672571006, + -1.4606247835365334, + -1.5476797505699373, + -1.627790199348864, + -1.6995351516903987, + -1.7616254148247557, + -1.812938345085211, + -1.852549086768079, + -1.8797574678279538, + -1.8941098357792465, + -1.8954152372173674, + -1.8837554798329337, + -1.8594887633616322, + -1.8232467219744921, + -1.775924881333287, + -1.7186666949545122, + -1.6528414826579754, + -1.5800167448104525, + -1.5019254660682773, + -1.4204291478954978, + -1.3374774171554238, + -1.255065145838996, + -1.1751880822935254, + -1.0997980354903836, + -1.030758669850361, + -0.9698029584803234, + -0.9184933075436242, + -0.8781853046943078, + -0.8499959614646474, + -0.8347772151910726, + -0.8330953330051902, + -0.8452167215758066, + -0.8711004950271787, + -0.910397993447393, + -0.9624592795257094, + -1.026346475127292, + -1.1008536370598208, + -1.1845327158642365, + -1.2757249969540758, + -1.3725972933495674, + -1.4731820467674066, + -1.5754204016666058, + -1.6772072472491049, + -1.7764371770531382, + -1.871050295743935, + -1.959076808468487, + -2.038679359532487, + -2.1081921433869053, + -2.166155890578209, + -2.2113479324470395, + -2.242806668458886, + -2.2598498961571654, + -2.2620866124969505, + -2.2494220530920925, + -2.222055898819929, + -2.1804737432862127, + -2.125432075846478, + -2.057937189274077, + -1.9792185649989922, + -1.89069741862139, + -1.7939512009881682, + -1.690674942797817, + -1.5826404012532531, + -1.4716540140479508, + -1.3595146878729985, + -1.2479724452129066, + -1.1386889246238325, + -1.033200676749191, + -0.9328861224150076, + -0.838936942217667, + -0.7523345515423138, + -0.6738321838587661, + -0.6039429617413349, + -0.5429341829556452, + -0.4908278919638721, + -0.44740764924751825, + -0.4122312558761309, + -0.38464904262128796, + -0.3638271953084576, + -0.3487754644252639, + -0.3383785003190182, + -0.33142996824382787, + -0.3266685321874894, + -0.3228147544020589, + -0.31860793987376174, + -0.3128419619811551, + -0.3043991370686798, + -0.29228127075583793, + -0.2756370760690785, + -0.2537852609273414, + -0.22623269763268097, + -0.1926872168718894, + -0.15306471001393473, + -0.10749037259707325, + -0.05629407505042415, + -5.461655573554045e-16 + ], + [ + 0, + 0.062492064358746, + 0.12810864235706015, + 0.19579289683717777, + 0.2644009479654487, + 0.3327354677063274, + 0.3995809153808323, + 0.4637394709247685, + 0.5240667024476263, + 0.5795060093911754, + 0.62912091190168, + 0.6721243102454664, + 0.7079039138958434, + 0.736043136411774, + 0.7563368670040372, + 0.7688016598688181, + 0.7736800246964058, + 0.7714386526588858, + 0.762760567849702, + 0.7485313506682671, + 0.7298197330651875, + 0.7078530120098462, + 0.6839878633017225, + 0.659677259470683, + 0.6364342998976247, + 0.6157938457588285, + 0.5992729147715774, + 0.5883308293591818, + 0.5843301257144072, + 0.5884992198916579, + 0.6018977906984871, + 0.6253857786084941, + 0.6595968166074266, + 0.7049168048092496, + 0.7614682183571447, + 0.8291006005334031, + 0.9073875435054608, + 0.9956303013997279, + 1.092868018299711, + 1.197894391306312, + 1.3092804299900787, + 1.425402822339712, + 1.5444772774216318, + 1.6645960898924548, + 1.783769064371984, + 1.8999668511741583, + 2.0111656811892935, + 2.115392448436891, + 2.2107690749892974, + 2.2955551050030034, + 2.3681875122511125, + 2.4273167679622087, + 2.471838301462576, + 2.5009185930417637, + 2.5140152640434326, + 2.5108906703910843, + 2.49161865917191, + 2.456584309799628, + 2.4064766477255586, + 2.3422744856189652, + 2.2652257103306184, + 2.176820489810652, + 2.078759018679075, + 1.9729145508272299, + 1.8612925791065158, + 1.745987113122695, + 1.6291350741935522, + 1.5128698699990974, + 1.3992752293139994, + 1.2903403690452244, + 1.1879175318257031, + 1.0936828734903665, + 1.0091015973477462, + 0.9353981282962535, + 0.8735319970804537, + 0.8241799663606806, + 0.7877247791859131, + 0.7642507506232992, + 0.7535462586256078, + 0.7551130247410494, + 0.7681819130324584, + 0.7917348205327611, + 0.82453208849519, + 0.8651447340976214, + 0.9119906902656584, + 0.9633741495844632, + 1.0175270390649314, + 1.0726516074468213, + 1.1269630867928178, + 1.1787313957628252, + 1.2263208829344396, + 1.2682271640049092, + 1.3031101852194387, + 1.329822744900757, + 1.3474338229697576, + 1.3552462018583444, + 1.3528080078576268, + 1.3399179560578507, + 1.316624240759374, + 1.2832171725991404, + 1.2402158196699857, + 1.1883490587278784, + 1.1285315804904446, + 1.0618355166143723, + 0.9894584621497142, + 0.9126887534962019, + 0.8328689260254992, + 0.7513583160354969, + 0.6694957876146017, + 0.5885635559790396, + 0.5097530451938864, + 0.43413366080516513, + 0.3626252782966168, + 0.29597514849745693, + 0.2347398036671901, + 0.17927241597076016, + 0.12971591679653174, + 0.08600203450478022, + 0.04785625355801216, + 0.014808543500846807, + -0.013790444155502641, + -0.038748155617172, + -0.061004466563010694, + -0.08160225768311803, + -0.10165502415078231, + -0.12231238734491746, + -0.14472443304451685, + -0.17000583252839802, + -0.19920071069881914, + -0.23324920829017814, + -0.27295664383106083, + -0.31896611631964394, + -0.3717353031573176, + -0.4315181019198455, + -0.49835164168028434, + -0.5720490529126353, + -0.6521982379306187, + -0.7381667300490315, + -0.8291125730665848, + -0.9240009972065414, + -1.0216265172409371, + -1.1206399369721287, + -1.219579615142519, + -1.3169062344759275, + -1.4110402208201642, + -1.500400885697799, + -1.5834463148968636, + -1.6587129993900616, + -1.7248542036010506, + -1.780676089955013, + -1.8251706672466332, + -1.8575447025034886, + -1.8772438299994876, + -1.883971204617049, + -1.8777001771118234, + -1.8586806128196145, + -1.827438629435737, + -1.7847696899075167, + -1.7317251492611132, + -1.6695925153167932, + -1.599869838746715, + -1.5242347939417593, + -1.4445091450503942, + -1.3626194080214198, + -1.2805546166110862, + -1.2003221756618507, + -1.1239028366160724, + -1.0532058568648937, + -0.990025405434683, + -0.9359992525985922, + -0.8925707308202615, + -0.8609548801645188, + -0.8421095947131586, + -0.8367124699200884, + -0.8451439170410211, + -0.867476963014461, + -0.9034739960352663, + -0.9525905523886923, + -1.0139860729043138, + -1.0865413917128681, + -1.1688825598768637, + -1.2594104558152526, + -1.356335496920787, + -1.4577166457218134, + -1.5615038023122298, + -1.6655825950314094, + -1.7678205254524513, + -1.8661133929803417, + -1.958430919503192, + -2.0428605156775967, + -2.117648177023449, + -2.181235568893234, + -2.2322924528088066, + -2.269743720318927, + -2.2927904316231764, + -2.300924401507944, + -2.2939360310798085, + -2.271915246535747, + -2.235245571791826, + -2.1845915261523077, + -2.120879697326121, + -2.045273990109154, + -1.959145688301782, + -1.8640390885947404, + -1.76163356730857, + -1.653703021561886, + -1.5420736837554823, + -1.428581340856117, + -1.3150289971228672, + -1.2031460005463077, + -1.094549609903821, + -0.9907099121274157, + -0.8929189103750519, + -0.8022644940778463, + -0.7196098760737758, + -0.6455789419212509, + -0.5805478061365846, + -0.5246427131901692, + -0.47774426155381794, + -0.43949777089993003, + -0.4093294596523545, + -0.3864679562798779, + -0.3699705365715653, + -0.358753363880817, + -0.3516249128106139, + -0.34732168140046366, + -0.3445452443982432, + -0.3419996719124922, + -0.3384283342895918, + -0.33264913546923225, + -0.3235872627409184, + -0.3103046095463392, + -0.2920251179632411, + -0.2681553964495394, + -0.23830009353283724, + -0.20227164620756283, + -0.16009416933437545, + -0.11200140557426015, + -0.05842881044232306, + -5.646400386019638e-16 + ], + [ + 0, + 0.06415266919313417, + 0.1309849684632714, + 0.1993840253673602, + 0.2681672885702888, + 0.336117404088277, + 0.40201821149324973, + 0.4646908948345665, + 0.5230293171776443, + 0.5760335867313078, + 0.6228409460767765, + 0.6627531429440193, + 0.695259529638653, + 0.7200552463890117, + 0.7370539688493584, + 0.7463948386265339, + 0.7484433445110038, + 0.7437860773458334, + 0.7332194392479694, + 0.7177325442249881, + 0.6984846981569639, + 0.6767779878157326, + 0.654025637475595, + 0.6317169044480538, + 0.6113793786632943, + 0.594539623807166, + 0.5826831466194481, + 0.5772147054605583, + 0.5794199684647685, + 0.590429505453565, + 0.6111860468507708, + 0.642415868308413, + 0.6846050633968723, + 0.7379813508597073, + 0.802501930398253, + 0.8778477549703617, + 0.9634244317395603, + 1.0583698019266634, + 1.1615680858849768, + 1.271670317791855, + 1.3871206384321175, + 1.5061878685109902, + 1.6270016524083404, + 1.747592346577977, + 1.865933730803134, + 1.979987546658575, + 2.0877488176765597, + 2.18729088115534, + 2.276809062951504, + 2.35466195399006, + 2.4194092999978567, + 2.4698455928813425, + 2.505028551398099, + 2.5243017979319853, + 2.5273111744006758, + 2.5140142903067972, + 2.4846830560533197, + 2.439899120992655, + 2.3805423042227765, + 2.3077722727820866, + 2.2230038825711036, + 2.1278767481308747, + 2.0242197446633603, + 1.9140112660462787, + 1.799336163145853, + 1.682340365021883, + 1.5651842397523912, + 1.4499957802729309, + 1.3388247031457328, + 1.2335985245035124, + 1.1360816281506803, + 1.0478382671758801, + 0.9702003442545465, + 0.90424069947055, + 0.8507525008243703, + 0.8102351849071325, + 0.7828872371287782, + 0.7686059362703087, + 0.7669940210137193, + 0.7773730705742969, + 0.7988032316581385, + 0.8301087735880167, + 0.8699088162372522, + 0.9166524547077873, + 0.9686574033963734, + 1.0241512026399313, + 1.0813139754023489, + 1.1383216907568365, + 1.193388885906913, + 1.2448098192153738, + 1.2909970725797966, + 1.330516691288851, + 1.3621190414125457, + 1.3847646764723283, + 1.3976446337720694, + 1.4001947231014853, + 1.3921035229713767, + 1.3733139582836387, + 1.344018494408728, + 1.3046481420215155, + 1.2558556207656726, + 1.1984931740599822, + 1.1335856585541952, + 1.0622996466476513, + 0.9859093762744466, + 0.9057604564914284, + 0.8232322884775701, + 0.7397001881485689, + 0.6564981981070176, + 0.574883553113531, + 0.49600371533303317, + 0.4208668245491039, + 0.35031631619215736, + 0.28501034877092096, + 0.2254065549792335, + 0.1717524906200976, + 0.124082006113508, + 0.08221761052966522, + 0.04577874174517669, + 0.01419570242180189, + -0.013271126043316744, + -0.037507316910714524, + -0.05951632804261776, + -0.08038808478630406, + -0.10126505993413339, + -0.12330676098462857, + -0.1476535776696854, + -0.1753909610108514, + -0.20751489854161506, + -0.24489961892951576, + -0.28826840382277685, + -0.3381683067073737, + -0.39494947983939965, + -0.4587496933844905, + -0.529484498681802, + -0.6068433433741366, + -0.6902917936322119, + -0.7790798616891734, + -0.87225627934894, + -0.9686884040165826, + -1.0670872970188452, + -1.1660373782591276, + -1.2640299400341344, + -1.3594996992225057, + -1.4508634836981327, + -1.5365600878791374, + -1.6150902953992181, + -1.6850560549844704, + -1.7451978091177245, + -1.7944290137212213, + -1.8318669500074467, + -1.8568590153501303, + -1.8690037864550035, + -1.8681662726846893, + -1.8544869170786087, + -1.8283840539889706, + -1.7905496916117638, + -1.7419386511045807, + -1.6837512574193592, + -1.6174099363961414, + -1.5445302241131045, + -1.4668868342064243, + -1.3863755533805742, + -1.3049718415143867, + -1.2246870979650608, + -1.147523617728626, + -1.0754292984444633, + -1.0102531708540423, + -0.9537028108904635, + -0.9073046513780867, + -0.8723681462863109, + -0.8499546521457524, + -0.8408517817116891, + -0.8455538568832209, + -0.864248944351577, + -0.8968128019333067, + -0.942809899817747, + -1.00150151300113, + -1.0718607130772173, + -1.1525939233972726, + -1.2421685453977818, + -1.3388460194259484, + -1.4407195541890403, + -1.5457556481578023, + -1.651838436561493, + -1.756815831199775, + -1.8585463787719765, + -1.954945747785854, + -2.0440317647184427, + -2.123966956683423, + -2.1930976194966156, + -2.249988515197361, + -2.2934524096754654, + -2.3225737864456257, + -2.3367262137208926, + -2.335582995297809, + -2.319120897617676, + -2.28761691174603, + -2.2416381758458974, + -2.1820253469347035, + -2.1098698663302704, + -2.026485707421667, + -1.9333763237464023, + -1.8321976266892135, + -1.7247179127617576, + -1.6127757282136506, + -1.4982367020684095, + -1.382950396582975, + -1.268708216237646, + -1.1572033829524986, + -1.0499939272048047, + -0.948469563604489, + -0.8538232173540349, + -0.7670278474742659, + -0.6888190767664871, + -0.6196839906281401, + -0.5598563107548001, + -0.5093179893535962, + -0.4678071087681273, + -0.4348318143780278, + -0.40968985919137285, + -0.3914932004020834, + -0.3791969647541116, + -0.3716319938818583, + -0.36754009547485145, + -0.3656110632231729, + -0.3645204895524385, + -0.3629673810655378, + -0.3597105976607499, + -0.3536031721498246, + -0.34362362689153664, + -0.328903485925635, + -0.30875028322224096, + -0.28266548733160163, + -0.25035689687108315, + -0.21174520650157463, + -0.1669645956309538, + -0.11635734816261367, + -0.06046266722221511, + -5.819723779827007e-16 + ], + [ + 0, + 0.06565677192051401, + 0.13351720900621417, + 0.20242106385631836, + 0.2711566688757497, + 0.3384968071410374, + 0.40323516383192315, + 0.46422237929721705, + 0.5204007334036048, + 0.5708365243253961, + 0.6147492625448419, + 0.6515368811121112, + 0.6807962641546964, + 0.7023385146991824, + 0.716198517086206, + 0.7226384952496797, + 0.7221454222212573, + 0.7154222945292372, + 0.7033734436945766, + 0.687084211780564, + 0.667795465010486, + 0.6468735550992282, + 0.6257764586999794, + 0.6060169281624352, + 0.5891235689943632, + 0.5766008188849525, + 0.5698888383211687, + 0.5703243327467202, + 0.5791033105454975, + 0.5972467401840225, + 0.6255700045584822, + 0.6646569625083318, + 0.7148393186987574, + 0.776181876276567, + 0.8484741049612297, + 0.9312283040163568, + 1.0236844786213848, + 1.1248218834929753, + 1.2333770232569647, + 1.3478677391118676, + 1.4666228597217437, + 1.5878167547989075, + 1.7095080059633818, + 1.829681304295155, + 1.9462916001711, + 2.0573094706228927, + 2.160766634112879, + 2.2548005332353953, + 2.337696922707759, + 2.4079294427689337, + 2.464195225767733, + 2.5054456746956726, + 2.5309116645263465, + 2.540122547765604, + 2.532918491441158, + 2.509455830334198, + 2.4702052867549145, + 2.415943076566505, + 2.3477350903471943, + 2.2669145034283438, + 2.17505332504411, + 2.073928541161848, + 1.9654836342168587, + 1.8517863728171458, + 1.7349838528408206, + 1.6172558360736724, + 1.5007674720590323, + 1.3876225022049196, + 1.2798180321042882, + 1.1792019188097105, + 1.087433755440955, + 1.0059503475841725, + 0.935936466632271, + 0.8783015372069085, + 0.8336627722383311, + 0.8023351136828333, + 0.7843281730423664, + 0.7793501978271853, + 0.7868189219782014, + 0.8058789941453925, + 0.8354255216018993, + 0.8741331232568147, + 0.9204897562131072, + 0.972834469718126, + 1.0293981508309322, + 1.0883462598179192, + 1.1478225117440246, + 1.2059924448958346, + 1.2610858268634524, + 1.3114368849853852, + 1.3555214084564573, + 1.3919898531355883, + 1.4196956848219582, + 1.4377183198335015, + 1.4453801600117073, + 1.442257369311698, + 1.4281841971536111, + 1.4032508157578918, + 1.36779480071945, + 1.3223865420596388, + 1.2678090230062937, + 1.2050325420734427, + 1.1351850772261545, + 1.0595190959887606, + 0.9793756997119788, + 0.8961470518046906, + 0.8112380770807525, + 0.7260284316010528, + 0.6418357292673337, + 0.5598809733434045, + 0.4812570790630311, + 0.4069012891518326, + 0.3375721796206757, + 0.27383183126058397, + 0.21603360599915666, + 0.164315820137926, + 0.118601452220523, + 0.07860386579998803, + 0.04383837067480622, + 0.013639294219126463, + -0.012817908907107245, + -0.03649011148649608, + -0.05843625127644776, + -0.07978416677192687, + -0.10169542273789457, + -0.12532907028004464, + -0.15180531521029397, + -0.18217007246207018, + -0.21736136320144078, + -0.25817846557775986, + -0.30525466089603925, + -0.3590343260985292, + -0.4197550130898406, + -0.4874350283952481, + -0.5618668860955434, + -0.6426168564676412, + -0.7290306760668532, + -0.8202453260639249, + -0.9152066285091736, + -1.0126922588103526, + -1.1113396309155685, + -1.2096779830893198, + -1.3061638800353368, + -1.3992192543255628, + -1.4872710390319779, + -1.5687913959800868, + -1.6423375214166576, + -1.7065900137576853, + -1.7603888164688348, + -1.8027658024051596, + -1.8329731428538651, + -1.8505067032447151, + -1.8551238256317453, + -1.8468549927329965, + -1.8260090162495053, + -1.7931715497417042, + -1.7491968896440553, + -1.6951931930195976, + -1.6325014033154723, + -1.5626683316484737, + -1.487414487145604, + -1.408597381953762, + -1.3281711514161942, + -1.248143424710704, + -1.17053045356573, + -1.0973115546743208, + -1.030383943868321, + -0.971519036379056, + -0.9223212576221823, + -0.8841903535739859, + -0.8582881102513724, + -0.8455102899625642, + -0.8464644703042805, + -0.8614543332787101, + -0.8904707997433325, + -0.9331902423780764, + -0.9889798423927914, + -1.0569099853875992, + -1.1357734242520023, + -1.2241107758249936, + -1.3202417671635056, + -1.422301510355707, + -1.5282809652038272, + -1.636070649699596, + -1.743506581442186, + -1.8484173808662552, + -1.9486714406205439, + -2.0422230652980966, + -2.127156511954222, + -2.201726913799167, + -2.2643971458304146, + -2.3138697900898384, + -2.349113477257183, + -2.369383017497341, + -2.3742328835207895, + -2.3635237690142903, + -2.337422112028931, + -2.2963926415029254, + -2.2411841717284293, + -2.172809030180358, + -2.092516654800806, + -2.0017620339153583, + -1.9021697821287802, + -1.7954947459102888, + -1.6835801107291002, + -1.568314035687154, + -1.4515858703629794, + -1.3352430113996594, + -1.2210494332547046, + -1.110646879133869, + -1.005519625731384, + -0.906963640863535, + -0.8160608388221213, + -0.7336590071835907, + -0.6603578341927306, + -0.5965013113298526, + -0.5421766251370366, + -0.49721948983279296, + -0.4612257117369844, + -0.43356862205096836, + -0.4134218699239363, + -0.39978693656418623, + -0.3915246166590673, + -0.38738961836219893, + -0.386067359911515, + -0.3862119913272849, + -0.3864846447827263, + -0.3855909176970596, + -0.3823166182924874, + -0.3755608535713433, + -0.36436561308263815, + -0.3479410965533026, + -0.3256861470223722, + -0.29720328062885204, + -0.2623079463625115, + -0.22103180027299027, + -0.173619935005123, + -0.12052216311888639, + -0.062378607465133434, + -5.98015746042168e-16 + ], + [ + 0, + 0.06699141487619259, + 0.13568339708518173, + 0.2048775517521984, + 0.27334306140777476, + 0.33985325079587936, + 0.40322217931209486, + 0.4623402768731759, + 0.5162080621861307, + 0.5639670302610487, + 0.6049268674055606, + 0.6385882450651742, + 0.6646605563990291, + 0.6830740885805179, + 0.6939862662421968, + 0.6977817536607908, + 0.6950663613675067, + 0.6866548628840831, + 0.6735529851845938, + 0.6569339882724121, + 0.6381103910933874, + 0.618501529275779, + 0.5995977416243001, + 0.582922074044965, + 0.569990459272329, + 0.5622713765916182, + 0.5611460164692376, + 0.5678699700254304, + 0.5835374326424508, + 0.6090488553814761, + 0.6450828985873596, + 0.6920734409911963, + 0.7501922772223916, + 0.8193379998471795, + 0.8991314122066244, + 0.9889176591134999, + 1.0877750978045686, + 1.1945307654975434, + 1.3077821365785642, + 1.425924705896388, + 1.5471847887548396, + 1.6696567966109397, + 1.7913441334924107, + 1.9102027646067854, + 2.0241864378878263, + 2.1312924931177304, + 2.2296071729763414, + 2.3173493564677825, + 2.39291166757828, + 2.454897969996628, + 2.5021563409203678, + 2.5338067214189146, + 2.549262565022107, + 2.548245947153382, + 2.530795752320191, + 2.4972687198684644, + 2.4483332986214728, + 2.384956431733537, + 2.308383561432774, + 2.220112304903903, + 2.1218604034349084, + 2.0155286834430113, + 1.9031598867799113, + 1.7868943258999257, + 1.6689233946681, + 1.551442015961456, + 1.4366011315562692, + 1.3264613375155827, + 1.2229487394644083, + 1.1278140474848297, + 1.0425958512314297, + 0.9685889142093935, + 0.9068182044734031, + 0.8580192402842942, + 0.8226251769049129, + 0.800760898461138, + 0.7922442106099239, + 0.7965940597562247, + 0.8130455368956847, + 0.8405712629178589, + 0.8779086013091489, + 0.9235920073087277, + 0.9759897030067244, + 1.0333437685127405, + 1.0938126625418345, + 1.1555151333826021, + 1.2165744544400647, + 1.2751619179641578, + 1.3295385461143665, + 1.3780940294591748, + 1.4193819780272505, + 1.452150667183669, + 1.4753685774257823, + 1.488244160722985, + 1.490239412900841, + 1.481076988106279, + 1.4607407536700359, + 1.4294698476544927, + 1.3877464629556915, + 1.3362777370030656, + 1.2759722710226067, + 1.2079119339163091, + 1.1333197198328595, + 1.05352452266424, + 0.9699237627044115, + 0.8839448488120956, + 0.7970064824929638, + 0.710480807848864, + 0.6256573834649863, + 0.5437098997880213, + 0.46566648977383424, + 0.39238438351743726, + 0.3245295417175935, + 0.26256177113866047, + 0.20672568107189607, + 0.15704768683572018, + 0.11333910847513076, + 0.07520525402975417, + 0.04206022106319614, + 0.01314700152675522, + -0.012437662768207786, + -0.035714350283858304, + -0.057788737761863135, + -0.07981695429563049, + -0.1029694432860715, + -0.1283943037997115, + -0.1571810976126348, + -0.19032609766459382, + -0.228699918015745, + -0.2730184055767767, + -0.32381759136471655, + -0.3814333958871412, + -0.4459866620639535, + -0.5173739529024586, + -0.5952644033726479, + -0.6791027603059787, + -0.7681185845846054, + -0.8613414304263433, + -0.9576216612340065, + -1.055656414199578, + -1.154020090371708, + -1.251198626657652, + -1.3456267043101042, + -1.4357269674647117, + -1.5199502673454097, + -1.5968159143693212, + -1.6649509124776938, + -1.7231271678749622, + -1.770295707613633, + -1.8056170111214482, + -1.8284866482222437, + -1.8385555282738775, + -1.835744194037975, + -1.8202507376572954, + -1.7925520711231593, + -1.753398446055546, + -1.7038012834873737, + -1.6450145395426612, + -1.5785099933341518, + -1.5059469950963145, + -1.4291373517395345, + -1.3500061501872767, + -1.2705494229542549, + -1.1927896428199944, + -1.1187300920584782, + -1.0503091849935398, + -0.9893558297746792, + -0.9375468959666327, + -0.8963678092248739, + -0.8670772240370328, + -0.8506766319108017, + -0.8478856477212953, + -0.8591235839554837, + -0.8844977745207975, + -0.9237989502070904, + -0.9765038006791483, + -1.0417846870956806, + -1.1185262992556446, + -1.2053488857086967, + -1.3006375285642762, + -1.4025767906128905, + -1.509189934345095, + -1.6183818036389155, + -1.7279843719336851, + -1.8358038977331745, + -1.9396685908107358, + -2.0374756814270913, + -2.1272368004748397, + -2.207120620335267, + -2.2754917733350113, + -2.3309451553650518, + -2.3723348342412076, + -2.39879691299019, + -2.409765844232334, + -2.404983849622437, + -2.384503264038134, + -2.348681793816984, + -2.298170847693978, + -2.2338972640485006, + -2.1570389146156814, + -2.068994809146612, + -1.971350454116314, + -1.8658393283718775, + -1.7543014269483685, + -1.6386398890527436, + -1.5207767659063334, + -1.4026089978461829, + -1.2859656575581087, + -1.1725674779421347, + -1.0639896199231305, + -0.9616285491560959, + -0.8666737832462916, + -0.7800851455327422, + -0.7025760208387835, + -0.6346029564101042, + -0.5763617913530953, + -0.5277903342503986, + -0.4885774453461927, + -0.4581782208228456, + -0.4358348261761996, + -0.42060238726467847, + -0.41137922467479204, + -0.4069406126353298, + -0.40597516037906417, + -0.4071228536169862, + -0.4090137580976795, + -0.4103063768982442, + -0.4097246683223027, + -0.406092771613376, + -0.39836655204870924, + -0.3856611636793369, + -0.36727393478837106, + -0.3427020053120631, + -0.311654283834627, + -0.27405744080395283, + -0.2300558105320273, + -0.1800052333833123, + -0.12446102728857285, + -0.064160430353987, + -6.126331205960254e-16 + ], + [ + 0, + 0.0681450339508187, + 0.13746466794264584, + 0.20673207258992998, + 0.274707567179257, + 0.3401755669349202, + 0.4019809963637845, + 0.4590641878055755, + 0.5104933220849006, + 0.555493530199834, + 0.5934718597371962, + 0.6240374150518544, + 0.6470161035412179, + 0.6624595584870174, + 0.6706479584479003, + 0.6720866203016902, + 0.667496403792694, + 0.6577981257775776, + 0.6440913382281644, + 0.62762797149212, + 0.6097814795891501, + 0.5920122439860944, + 0.5758300932896956, + 0.562754876023665, + 0.5542760800476433, + 0.5518125237405677, + 0.5566731499388049, + 0.5700199335598973, + 0.5928338682729976, + 0.6258849275520539, + 0.6697068026351647, + 0.7245771065527702, + 0.7905036022351457, + 0.867216866971835, + 0.9541696487483516, + 1.0505430060866472, + 1.1552591560099654, + 1.267000788770626, + 1.3842364471356903, + 1.5052514163170032, + 1.628183431838005, + 1.7510623902176436, + 1.8718531443919022, + 1.9885003848815765, + 2.0989745509075943, + 2.2013176844182247, + 2.2936881351639817, + 2.3744030467246744, + 2.441977601292896, + 2.495160073939439, + 2.532961843301307, + 2.5546816228396985, + 2.559923312191894, + 2.5486070184155705, + 2.5209729584553466, + 2.4775781230273757, + 2.419285754212707, + 2.34724786018529, + 2.2628811565069045, + 2.167836980253292, + 2.063965867069377, + 1.9532776085797108, + 1.8378977152988039, + 1.7200212956697079, + 1.6018654230272646, + 1.4856210976486874, + 1.3734059197645956, + 1.2672185712565225, + 1.1688961592183342, + 1.0800754047107743, + 1.0021585666113546, + 0.9362848757530255, + 0.8833081213707313, + 0.843780883501693, + 0.8179457450479555, + 0.8057336496239044, + 0.8067694001743249, + 0.8203841228401809, + 0.8456343548278001, + 0.8813272581375589, + 0.926051316742321, + 0.9782117466692769, + 1.0360697395240408, + 1.097784572918019, + 1.161457558090918, + 1.2251767572403562, + 1.2870613915305331, + 1.3453048756550257, + 1.3982154557249797, + 1.4442534930522855, + 1.4820645253951747, + 1.5105073471570183, + 1.5286764780934545, + 1.535918533058952, + 1.5318421596220302, + 1.516321372135065, + 1.489492276021177, + 1.4517433405223958, + 1.403699537851734, + 1.3462008176474707, + 1.2802755241070796, + 1.207109485766572, + 1.128011611577583, + 1.0443769091863049, + 0.9576479001426038, + 0.8692754407611119, + 0.7806799657386911, + 0.6932141542666893, + 0.6081279757689427, + 0.5265370056857923, + 0.4493948126511116, + 0.3774701092721895, + 0.3113292323197449, + 0.25132437769586596, + 0.19758786464767408, + 0.15003254616928016, + 0.10835832238195277, + 0.07206455496188224, + 0.04046802741714956, + 0.012725952080303434, + -0.0121366062768423, + -0.0351956349698973, + -0.057594246312159494, + -0.08050683301864979, + -0.10510227059855916, + -0.13250715684986625, + -0.16377007876591715, + -0.1998278719195088, + -0.24147478732935995, + -0.28933540718616674, + -0.3438420554648127, + -0.4052173347682106, + -0.47346228961805087, + -0.5483505521270166, + -0.6294286721883712, + -0.7160226748795357, + -0.8072507267195035, + -0.9020416338162126, + -0.9991587428035111, + -1.0972286736565806, + -1.1947741855953429, + -1.2902503666000082, + -1.3820832464085715, + -1.4687098645835626, + -1.5486187811096774, + -1.6203899981986638, + -1.6827332690859622, + -1.7345238025109901, + -1.7748344295418774, + -1.8029633810700376, + -1.8184569277009104, + -1.8211262563985744, + -1.8110580971133845, + -1.788618764331614, + -1.75445143930605, + -1.7094666846926916, + -1.6548263503310494, + -1.5919211928283428, + -1.5223426883728197, + -1.4478496639083815, + -1.3703305028169275, + -1.2917617942973336, + -1.214164387858551, + -1.1395578834258102, + -1.0699146317264792, + -1.0071143377200957, + -0.9529003513502374, + -0.9088386949636199, + -0.8762808161537653, + -0.8563309699661579, + -0.8498190273699203, + -0.857279380227476, + -0.8789364697348776, + -0.9146973089283421, + -0.9641512041506578, + -1.0265767093705784, + -1.100955675109393, + -1.1859940846429267, + -1.2801492082348696, + -1.3816624553647825, + -1.4885971689191297, + -1.5988804874310556, + -1.7103483045591326, + -1.8207922814459563, + -1.928007819184369, + -2.0298418765152713, + -2.1242395226158344, + -2.2092881462837353, + -2.283258300199108, + -2.3446402408369353, + -2.392175328992053, + -2.424881580203405, + -2.442072795572082, + -2.4433708580977456, + -2.428710943923614, + -2.398339567762068, + -2.3528055531200605, + -2.2929441865736413, + -2.219854977144901, + -2.1348735928768394, + -2.0395386833174167, + -1.9355544155086568, + -1.824749649368087, + -1.7090347536970052, + -1.5903571146716002, + -1.470656413399711, + -1.3518207474296893, + -1.2356446431019739, + -1.1237899521118806, + -1.0177505480050288, + -0.9188216385491516, + -0.8280743905551139, + -0.7463364277721877, + -0.6741786133782376, + -0.6119083700623236, + -0.5595696267191173, + -0.5169493154309107, + -0.4835901798180447, + -0.4588095000288752, + -0.44172319447475594, + -0.4312746274786727, + -0.42626733852109344, + -0.4254008155136842, + -0.42730836378069953, + -0.4305960758822676, + -0.43388188616861895, + -0.435833698469433, + -0.43520560541293285, + -0.43087127270952624, + -0.4218536398806704, + -0.40735018833930586, + -0.38675314587665033, + -0.35966413045884477, + -0.325902882372223, + -0.28550988846069303, + -0.23874286154378888, + -0.1860671980480864, + -0.12814069337503187, + -0.06579294360227878, + -6.256987676951095e-16 + ], + [ + 0, + 0.06910758937254162, + 0.13884548145965306, + 0.20796852335356608, + 0.2752386828435935, + 0.33946205871755697, + 0.3995247920488096, + 0.4544269096024267, + 0.5033131827495576, + 0.5455001611416959, + 0.580498637963631, + 0.6080309204039609, + 0.6280424121172192, + 0.6407071605503337, + 0.6464271773869464, + 0.6458255011068925, + 0.6397331327058806, + 0.6291701348749207, + 0.6153213373672389, + 0.5995072330146402, + 0.5831507762899829, + 0.567740906194847, + 0.5547937047631835, + 0.545812169299876, + 0.5422456188685315, + 0.5454497723646633, + 0.5566485262554621, + 0.5768984248832911, + 0.6070567559128872, + 0.6477541194773251, + 0.6993722138651708, + 0.7620274557563372, + 0.8355609121045826, + 0.9195348672353147, + 1.0132361863550203, + 1.1156864694585782, + 1.225658821707472, + 1.341700901896983, + 1.4621637537189283, + 1.5852357790656668, + 1.7089810822433367, + 1.8313813019344112, + 1.9503799568920333, + 2.063928263963838, + 2.1700313448591886, + 2.2667937222002985, + 2.3524630162972895, + 2.4254707915637193, + 2.484469564691261, + 2.5283650741444017, + 2.5563430201336548, + 2.567889613346687, + 2.5628054162449665, + 2.54121211914624, + 2.5035520607665407, + 2.450580475319917, + 2.3833506214733826, + 2.3031921182101684, + 2.211682974828036, + 2.110615952936269, + 2.001960033740161, + 1.8878178808113026, + 1.7703802840839173, + 1.6518786426624392, + 1.534536590423841, + 1.4205218882230117, + 1.31189969928468, + 1.2105883302765617, + 1.11831846044949, + 1.03659679658085, + 0.9666749843480036, + 0.9095244798170429, + 0.8658179410714332, + 0.8359175431439853, + 0.8198704531931814, + 0.8174115313455005, + 0.8279731499983607, + 0.8507018548548725, + 0.8844814286708903, + 0.9279617675825654, + 0.9795928436137529, + 1.037662908831554, + 1.1003399994678256, + 1.1657157244766698, + 1.2318502741965096, + 1.2968175621547948, + 1.3587494170705872, + 1.4158777725944505, + 1.4665738584430663, + 1.509383476873512, + 1.5430575508411186, + 1.5665772520952033, + 1.5791731558118858, + 1.580338019665857, + 1.5698329457135667, + 1.5476868490903684, + 1.5141893241863849, + 1.469877162516892, + 1.4155149328860313, + 1.3520701797884216, + 1.2806839267159378, + 1.2026372839225914, + 1.1193150524870918, + 1.0321672859577153, + 0.9426698157998876, + 0.8522847662415709, + 0.7624220775140671, + 0.6744030241557404, + 0.5894266578668508, + 0.5085400238789585, + 0.43261289801931024, + 0.3623176712254604, + 0.29811487227862593, + 0.24024467144280712, + 0.1887245512864291, + 0.1433531701951841, + 0.10372028303505672, + 0.06922242617234897, + 0.03908392458321728, + 0.012382640870182338, + -0.011920236864633216, + -0.03494717605269752, + -0.05786894127118153, + -0.08186784908802143, + -0.10810062530166235, + -0.13766186484166934, + -0.17154908000823826, + -0.21063028280596482, + -0.25561498286664086, + -0.30702939546762925, + -0.36519654662056966, + -0.4302218368327032, + -0.5019844850847399, + -0.5801351233523986, + -0.6640996534356649, + -0.7530893159521568, + -0.8461167601895689, + -0.9420177471749493, + -1.0394779707684199, + -1.1370643465741022, + -1.233259999421509, + -1.3265020801518164, + -1.415221464018688, + -1.4978833282205464, + -1.5730275763696797, + -1.6393080738982062, + -1.6955296806801818, + -1.7406821150395773, + -1.7739697557017933, + -1.7948365834035116, + -1.802985579502433, + -1.7983920322095406, + -1.7813103487405562, + -1.75227413012329, + -1.7120894307004635, + -1.6618212924507962, + -1.6027738109535892, + -1.5364641510078265, + -1.4645910815770247, + -1.3889987380842486, + -1.3116364416673767, + -1.2345155067698932, + -1.1596640478174516, + -1.089080850693501, + -1.0246894038554692, + -0.9682931864373242, + -0.9215332864312288, + -0.8858493715558518, + -0.8624449598731478, + -0.8522578384002233, + -0.8559363582434178, + -0.8738221970411157, + -0.9059400270695686, + -0.9519943639368672, + -1.0113737003330017, + -1.083161855964513, + -1.1661563028008124, + -1.2588930582872926, + -1.359677582296768, + -1.4666209701223676, + -1.5776806072619465, + -1.6907043451937551, + -1.803477173394513, + -1.9137693035493395, + -2.019384548691842, + -2.118207873695076, + -2.2082510142564145, + -2.287695108764909, + -2.354929360043199, + -2.4085848401321637, + -2.4475626686730356, + -2.471055931160141, + -2.4785648540611036, + -2.469904915840092, + -2.445207742309753, + -2.4049148073387583, + -2.3497641315416926, + -2.2807703379927693, + -2.1991985811850348, + -2.1065330095848904, + -2.0044405497179745, + -1.8947309076880055, + -1.7793137697854549, + -1.6601542453482905, + -1.5392276308541761, + -1.418474583549424, + -1.2997577756064331, + -1.1848210563564652, + -1.0752520817213294, + -0.9724492783324994, + -0.877593897315573, + -0.7916277821794137, + -0.7152373299697661, + -0.6488439684715359, + -0.5926013086831371, + -0.5463989651214021, + -0.5098728708945651, + -0.48242175401661597, + -0.46322929010424535, + -0.4512913081369732, + -0.4454473037820251, + -0.44441541188558215, + -0.4468299086211044, + -0.4512802564246698, + -0.45635067260051415, + -0.46065919608110134, + -0.4628952463605836, + -0.4618547135255737, + -0.4564716873849494, + -0.4458460251499014, + -0.4292660685776653, + -0.4062259501095641, + -0.3764370700226821, + -0.3398334793462968, + -0.2965710623889408, + -0.24702057414312453, + -0.19175474749192745, + -0.13152983899239332, + -0.0672621261619947, + -6.37099620849548e-16 + ], + [ + 0, + 0.06987068208679013, + 0.13981381265310747, + 0.20857633189453428, + 0.2749324945441483, + 0.3377206188299656, + 0.395878172951309, + 0.4484742509058654, + 0.49473855598635746, + 0.5340860994822489, + 0.5661369318248365, + 0.5907303508429971, + 0.6079331737425449, + 0.6180418123069996, + 0.621578050784791, + 0.619278588938201, + 0.6120785746616678, + 0.6010895073320072, + 0.5875720406554102, + 0.5729043484742734, + 0.5585468353575241, + 0.5460040727917008, + 0.5367849188676406, + 0.5323618325148535, + 0.5341304211636309, + 0.5433702624360909, + 0.5612080159558707, + 0.5885837911518716, + 0.6262216621876006, + 0.6746051236625987, + 0.7339581628660026, + 0.8042324889877661, + 0.8851013101265472, + 0.9759598888517823, + 1.075932940428027, + 1.1838887687116662, + 1.29845986737317, + 1.4180695526382567, + 1.5409640421976276, + 1.6652492570897455, + 1.7889315026659578, + 1.9099610842364452, + 2.0262778352111, + 2.13585748247686, + 2.2367577467717132, + 2.3271630756636985, + 2.4054269334988603, + 2.470110625760202, + 2.5200177134460198, + 2.5542231744767716, + 2.572096591346224, + 2.5733187843017093, + 2.557891463882858, + 2.5261396419215765, + 2.4787067120933317, + 2.416542285626982, + 2.3408830405768035, + 2.2532270099239464, + 2.155301890634756, + 2.049028098832473, + 1.9364774219450007, + 1.8198282240059018, + 1.7013182426378683, + 1.5831960736281812, + 1.4676724700162842, + 1.3568725865015343, + 1.2527902766559278, + 1.1572455004692777, + 1.071845824392179, + 0.9979528971254342, + 0.9366546643595977, + 0.8887439474367901, + 0.8547038578737285, + 0.8347003555949141, + 0.8285820875894524, + 0.8358874697046627, + 0.8558588016694619, + 0.8874630384068771, + 0.9294186833110767, + 0.9802281252505404, + 1.0382146140991175, + 1.1015629626524865, + 1.1683629784228726, + 1.236654569024866, + 1.3044734310648038, + 1.3698962253797224, + 1.431084161231954, + 1.4863239580843408, + 1.5340652246440059, + 1.5729533891389418, + 1.601857429882454, + 1.6198917881757842, + 1.6264319931548568, + 1.6211236866038943, + 1.6038849010786744, + 1.574901612784014, + 1.5346167573535332, + 1.4837130578486895, + 1.4230901659391568, + 1.3538367556046944, + 1.2771983304049115, + 1.1945416074156985, + 1.1073164208441069, + 1.0170161441789534, + 0.9251376601890321, + 0.8331419124584871, + 0.7424160504162319, + 0.6542381325936251, + 0.5697452813888909, + 0.48990608878985337, + 0.41549795872780537, + 0.3470899409208082, + 0.2850314665532198, + 0.22944724160834162, + 0.18023839304763292, + 0.13708980038660354, + 0.09948338467434382, + 0.06671697250349364, + 0.037928208365123395, + 0.012122858066466591, + -0.011793267650553338, + -0.03497963384513695, + -0.058624482460733686, + -0.08390749712388186, + -0.11196263713971072, + -0.14384214245075222, + -0.18048268187139432, + -0.22267456245149786, + -0.27103483972534487, + -0.32598506882825773, + -0.3877343175226183, + -0.45626792706169983, + -0.531342358937749, + -0.6124863086391826, + -0.6990081055406789, + -0.7900092550628275, + -0.8844038193874585, + -0.9809431803513031, + -1.0782455865395089, + -1.1748297596655741, + -1.2691517262971845, + -1.3596439526663302, + -1.4447557949706356, + -1.522994236943323, + -1.5929638716383883, + -1.653405095798434, + -1.703229522642971, + -1.7415516815804066, + -1.7677161597224251, + -1.7813194480842256, + -1.7822258823637838, + -1.7705772111034062, + -1.746795479340195, + -1.7115790797244654, + -1.6658919914813324, + -1.6109463963426545, + -1.5481790254988796, + -1.4792217486125991, + -1.4058670610849497, + -1.3300292554440845, + -1.2537021736787195, + -1.1789145267724572, + -1.1076838333349435, + -1.0419700693865706, + -0.9836301349720351, + -0.9343742299451363, + -0.8957251912367235, + -0.8689817781024968, + -0.8551868017955684, + -0.8551008839685041, + -0.8691824965750292, + -0.8975747882875915, + -0.9400995420514576, + -0.9962584392516409, + -1.0652416321878808, + -1.1459434523655117, + -1.236984911760865, + -1.3367424918626656, + -1.4433825648876535, + -1.5549006567896706, + -1.6691646458180849, + -1.783960896261078, + -1.8970422569303387, + -2.0061768096136934, + -2.1091962352211264, + -2.204042675098793, + -2.2888130017399213, + -2.3617994759757774, + -2.4215258551381833, + -2.4667781265041717, + -2.496629169869355, + -2.510456799177604, + -2.50795479218399, + -2.4891366852558034, + -2.4543322835142365, + -2.4041770103609412, + -2.3395943907806322, + -2.261772125515427, + -2.1721323643149173, + -2.0722969223143934, + -1.964048300899841, + -1.8492874703601787, + -1.7299894439138321, + -1.6081577196226116, + -1.4857786871930276, + -1.3647770902892256, + -1.2469736019810478, + -1.1340455122191198, + -1.0274914432942293, + -0.9286009042220689, + -0.8384293705592399, + -0.7577794354392514, + -0.6871884241508095, + -0.6269227022056136, + -0.5769787396111332, + -0.5370908261395544, + -0.506745167938249, + -0.4851999389350495, + -0.47151071503165626, + -0.464560588635858, + -0.4630941488610235, + -0.4657544214619644, + -0.4711217944932952, + -0.47775391240062715, + -0.4842255037939369, + -0.4891671168673508, + -0.49130177102534467, + -0.48947859281085476, + -0.48270258714125097, + -0.4701597989962504, + -0.45123724339164784, + -0.42553711957651474, + -0.3928849753900615, + -0.3533316457934078, + -0.3071489517396543, + -0.2548193076529078, + -0.19701954374904118, + -0.13459939925158015, + -0.06855528044706213, + -6.467365433000001e-16 + ], + [ + 0, + 0.07042765441011148, + 0.14036130794568624, + 0.20855061974657674, + 0.2737927958875502, + 0.33496875071344334, + 0.3910770490709671, + 0.4412647105824799, + 0.4848540374378349, + 0.5213647291507355, + 0.5505306687682474, + 0.5723109020863756, + 0.5868944810551068, + 0.5946990009775608, + 0.5963628243193254, + 0.5927311478198561, + 0.5848362299904206, + 0.5738722489268243, + 0.5611654017782536, + 0.5481399835954408, + 0.5362812914029561, + 0.527096286425523, + 0.5220730111932256, + 0.5226397970815179, + 0.5301253106573005, + 0.5457204735996929, + 0.5704432512013127, + 0.6051072394454728, + 0.6502948919420887, + 0.7063361177310067, + 0.7732928518093157, + 0.8509500553693113, + 0.938813445705081, + 1.0361140904282307, + 1.141819831111916, + 1.2546533319561204, + 1.3731163837445626, + 1.4955199363586742, + 1.6200191883436204, + 1.7446529331077676, + 1.8673862515181823, + 1.9861555527026729, + 2.0989149010212884, + 2.2036825290731548, + 2.29858642527215, + 2.381907900312565, + 2.4521220794407865, + 2.5079343358774384, + 2.548311773384246, + 2.5725089806306234, + 2.5800874139306074, + 2.5709279148581565, + 2.5452360315761333, + 2.503539983490853, + 2.4466812839166514, + 2.3757982105403985, + 2.292302484345674, + 2.1978496801220184, + 2.094304041780191, + 1.9836985097540865, + 1.8681908825189517, + 1.7500171268900078, + 1.631442920022483, + 1.5147145482464777, + 1.402010303008429, + 1.2953935018883949, + 1.196768223223904, + 1.1078387772654743, + 1.0300738466257096, + 0.9646761162724338, + 0.9125580812125084, + 0.8743245715501817, + 0.85026237341377, + 0.8403371542674318, + 0.8441977265124132, + 0.8611875082952466, + 0.8903628693438801, + 0.9305178866106527, + 0.9802148834741452, + 1.0378199909002113, + 1.1015428525553532, + 1.1694795012017196, + 1.239657363041678, + 1.310081301686503, + 1.3787795951281527, + 1.4438487478669813, + 1.5034960758946674, + 1.556079063594835, + 1.6001405772131, + 1.634439127178258, + 1.6579734985019872, + 1.6700012115494491, + 1.6700504310694406, + 1.6579251056103137, + 1.6337032882313758, + 1.597728758550347, + 1.5505962314480466, + 1.4931305950895064, + 1.4263607664303568, + 1.3514888824759017, + 1.2698556570566941, + 1.182902823057647, + 1.092133646704553, + 0.9990725420798559, + 0.9052248295459507, + 0.812037670889845, + 0.7208631771177052, + 0.63292462292221, + 0.5492866165448232, + 0.47082996726686055, + 0.3982318678234436, + 0.33195186883652883, + 0.2722239704793055, + 0.21905499687470734, + 0.17222925524732666, + 0.13131931873259747, + 0.09570261312788976, + 0.06458333775801503, + 0.037019112816202716, + 0.011951623511855256, + -0.011759571810122006, + -0.03530098411188073, + -0.05986785936747061, + -0.08662657339603258, + -0.1166777690142381, + -0.15102122999433723, + -0.19052344204769198, + -0.23588872233698968, + -0.28763470758172927, + -0.3460728789626408, + -0.41129467256911745, + -0.4831635803324129, + -0.5613134918733746, + -0.6451533663670816, + -0.7338781594637903, + -0.8264857676559229, + -0.9217995953638355, + -1.0184962024150799, + -1.115137355265868, + -1.2102056876848946, + -1.3021430787007793, + -1.389390779928176, + -1.4704302729036838, + -1.54382381114868, + -1.6082536020610803, + -1.662558610494697, + -1.7057680184262773, + -1.7371304522036666, + -1.7561381886653595, + -1.7625456715021868, + -1.7563818066653805, + -1.7379556570415573, + -1.707855318288281, + -1.666939925664023, + -1.6163249117386198, + -1.557360802817943, + -1.4916060035850813, + -1.4207941708221468, + -1.3467969143502312, + -1.271582683069283, + -1.197172793180321, + -1.1255956318168951, + -1.0588401204527318, + -0.9988095472538464, + -0.9472768753193032, + -0.9058426044834287, + -0.8758962086789849, + -0.8585820900825478, + -0.8547708872968299, + -0.865036850161327, + -0.889641851425807, + -0.9285264489141585, + -0.9813082447467087, + -1.0472876147369357, + -1.1254607054544816, + -1.214539422929868, + -1.3129779697985289, + -1.4190053309228337, + -1.530662965018118, + -1.6458468350235254, + -1.7623528059494373, + -1.8779243582415197, + -1.990301509298466, + -2.097269807018, + -2.196708257824981, + -2.2866350775866118, + -2.3652502065045646, + -2.430973607198863, + -2.4824784668482227, + -2.5187185469361655, + -2.538949064867224, + -2.5427406470203784, + -2.529986058899228, + -2.5008995908621103, + -2.4560091532511854, + -2.3961413083111625, + -2.322399633868635, + -2.2361369712566512, + -2.138922253594369, + -2.032502736792715, + -1.9187625615109947, + -1.7996786571989116, + -1.6772750573559212, + -1.553576726873029, + -1.4305640070882557, + -1.3101287619488646, + -1.194033260059526, + -1.0838727536827297, + -0.9810426188404872, + -0.8867108030074096, + -0.801796191454472, + -0.7269533535031599, + -0.6625639695319088, + -0.6087350725461269, + -0.5653040686391202, + -0.531850332945554, + -0.5077130158793752, + -0.492014542555824, + -0.4836891500681751, + -0.48151568612169066, + -0.4841537913849381, + -0.4901825092619829, + -0.4981403125115684, + -0.5065655075227727, + -0.5140359747385066, + -0.519207227678454, + -0.5208478225735786, + -0.5178712244687024, + -0.5093633318548711, + -0.4946049779798496, + -0.47308885997916417, + -0.4445304934778191, + -0.40887294660678103, + -0.36628526948944357, + -0.3171546990722871, + -0.26207288055253264, + -0.20181650151149508, + -0.13732287928104323, + -0.06966117240343107, + -6.54525459273059e-16 + ], + [ + 0, + 0.07077367379341427, + 0.1404834053288134, + 0.20789230824126276, + 0.271831128257831, + 0.33123349184422596, + 0.3851683911835909, + 0.4328690244026737, + 0.4737572036144324, + 0.5074626573452486, + 0.5338366853850742, + 0.5529597697237937, + 0.5651429013413357, + 0.5709225452599771, + 0.5710493313334392, + 0.5664707215618054, + 0.5583080621457138, + 0.5478285760320363, + 0.5364129856033579, + 0.5255195720088182, + 0.5166455744309204, + 0.5112869068362624, + 0.5108972195334747, + 0.5168473568345896, + 0.5303862596062155, + 0.5526043324855393, + 0.5844002406677584, + 0.6264520217384255, + 0.6791932959353153, + 0.7427952359587736, + 0.8171548179949027, + 0.9018897223957139, + 0.9963400892484493, + 1.0995771648941408, + 1.2104187045120285, + 1.3274508274143546, + 1.4490558598861527, + 1.573445549292215, + 1.6986988965372272, + 1.822803735233816, + 1.9437010880997558, + 2.0593312566517987, + 2.167680551098929, + 2.266827544750528, + 2.354987741879559, + 2.4305555797819562, + 2.4921427440449335, + 2.5386118594194937, + 2.5691047252056944, + 2.5830643911501414, + 2.580250514460482, + 2.560747597162788, + 2.5249658718166463, + 2.4736347784568076, + 2.407789152292452, + 2.3287484158596747, + 2.23808923674038, + 2.1376122685438936, + 2.0293037347706013, + 1.9152927389711105, + 1.7978052872527308, + 1.679116088157395, + 1.5614992483098713, + 1.447179008706744, + 1.3382816654384007, + 1.236789790035272, + 1.1444998092072571, + 1.0629839228585798, + 0.9935572348901511, + 0.9372508460017092, + 0.8947915145421594, + 0.8665883339293485, + 0.8527267071196305, + 0.8529697241572822, + 0.8667668722307053, + 0.893269833211918, + 0.9313549556050955, + 0.9796518302638657, + 1.0365772559777127, + 1.1003737555404394, + 1.169151698221668, + 1.2409340031736713, + 1.3137023421505702, + 1.3854437303024263, + 1.4541963913831055, + 1.5180938084594373, + 1.5754059224401566, + 1.6245765171166562, + 1.664255928965678, + 1.6933283401805395, + 1.7109330512423375, + 1.7164792813551328, + 1.7096542074479952, + 1.6904241211405935, + 1.6590287538808683, + 1.6159689891522206, + 1.5619883430355912, + 1.4980487464867906, + 1.4253013007045021, + 1.3450527975311313, + 1.2587288970003585, + 1.167834931489398, + 1.073915358592889, + 0.9785129115705026, + 0.8831284964432284, + 0.7891828585989241, + 0.6979809898514702, + 0.6106801706570845, + 0.528262443609472, + 0.45151219595211994, + 0.38099939369287394, + 0.3170688614304306, + 0.25983584398088333, + 0.20918792233619546, + 0.16479319153993402, + 0.12611444590355678, + 0.09242896170934468, + 0.06285332307642413, + 0.0363726066522316, + 0.011873128514125543, + -0.011822135042708844, + -0.035916409981321666, + -0.06160127162177887, + -0.09001909619676512, + -0.12222682897376966, + -0.15916204732317782, + -0.20161223822404395, + -0.2501881271378382, + -0.3053017910254285, + -0.3671501651592596, + -0.4357044143962775, + -0.5107054882343215, + -0.5916660190965022, + -0.6778785589143922, + -0.7684299843684844, + -0.8622217402645829, + -0.9579954375567341, + -1.0543631813580547, + -1.1498418785059459, + -1.242890667082638, + -1.331950524488983, + -1.4154850484508432, + -1.4920213683377026, + -1.5601901333980925, + -1.618763540316731, + -1.6666904045601456, + -1.7031273473298565, + -1.7274652609790901, + -1.7393503282701055, + -1.738699002112307, + -1.7257064992112956, + -1.7008485197656271, + -1.664876072056942, + -1.6188034513667697, + -1.5638895928914205, + -1.501613183984375, + -1.4336420780081043, + -1.3617976964047696, + -1.2880152336828838, + -1.2143005886437799, + -1.142685031591798, + -1.075178679282906, + -1.0137238853638117, + -0.9601496630733423, + -0.916128238719205, + -0.8831347892780568, + -0.8624113464306569, + -0.8549357541122461, + -0.861396449504182, + -0.8821737011335669, + -0.9173277856738726, + -0.9665944208361024, + -1.0293875993943962, + -1.1048097930950858, + -1.1916693192483474, + -1.2885044914879098, + -1.3936140136879371, + -1.5050929263157318, + -1.6208732812335418, + -1.7387686073993172, + -1.8565211388332137, + -1.9718507098403166, + -2.0825041824354757, + -2.186304258181039, + -2.281196541534633, + -2.3652937639459126, + -2.43691614630585, + -2.494626970266452, + -2.5372625441371124, + -2.563955883709047, + -2.5741535791668704, + -2.5676254825307887, + -2.544467021844206, + -2.5050941243866354, + -2.450230907256438, + -2.380890465442374, + -2.2983492508087013, + -2.2041156862894686, + -2.099893794369346, + -1.9875427343658827, + -1.8690332363480697, + -1.7464019885017752, + -1.621705077761283, + -1.4969715995855986, + -1.3741585415517772, + -1.255108007320984, + -1.1415077835244025, + -1.0348561638692904, + -0.9364318345299081, + -0.8472694954505694, + -0.7681417468039148, + -0.6995476121592721, + -0.6417079038623079, + -0.5945674658451467, + -0.5578041588076059, + -0.53084428665807, + -0.5128840053844416, + -0.5029161100330436, + -0.4997614657851145, + -0.502104238414111, + -0.5085299903801573, + -0.5175656436225105, + -0.5277202702995947, + -0.5375256592153509, + -0.5455756187176066, + -0.5505630160527037, + -0.5513136174503728, + -0.5468158809086643, + -0.5362459624815118, + -0.5189873240468827, + -0.49464447280182955, + -0.4630505164683724, + -0.42426837949555113, + -0.3785856903169049, + -0.3265035137967925, + -0.2687192622225743, + -0.20610426854864364, + -0.13967664327535484, + -0.07057015787584807, + -6.603983414639129e-16 + ], + [ + 0, + 0.07090579870206083, + 0.14017941691051156, + 0.2066081664160749, + 0.2690667425001651, + 0.32655123916883455, + 0.3782098733697953, + 0.42336958309207573, + 0.4615577705752038, + 0.4925185870380032, + 0.5162232962166271, + 0.5328744070202814, + 0.5429034269055376, + 0.5469622530586266, + 0.5459083839722798, + 0.5407842953171149, + 0.5327914770448525, + 0.5232597695320615, + 0.5136127616889231, + 0.5053301201184355, + 0.49990780288890907, + 0.49881717208755644, + 0.5034640544612567, + 0.5151488081636175, + 0.5350284356167312, + 0.5640817381317061, + 0.6030784382444486, + 0.6525531023779966, + 0.7127845817004478, + 0.7837815557079804, + 0.8652746143956253, + 0.9567151545440239, + 1.0572811976069187, + 1.165890065091364, + 1.281217676437971, + 1.401724068481689, + 1.5256845787408821, + 1.6512259909637583, + 1.7763668141626314, + 1.8990607589901676, + 2.017242390476233, + 2.1288738760154766, + 2.2319917136347, + 2.324752318889491, + 2.4054753694865068, + 2.472683854469905, + 2.525139848449632, + 2.5618751291476696, + 2.582215876159562, + 2.585800827395416, + 2.5725924238290583, + 2.5428806392097436, + 2.497279365244347, + 2.4367154002084677, + 2.3624102656678705, + 2.2758552476756506, + 2.1787802212630565, + 2.0731169662932665, + 1.9609578151478502, + 1.844510585026064, + 1.7260508371085155, + 1.6078725692780513, + 1.4922384869231866, + 1.3813310066452127, + 1.2772051301954734, + 1.1817442811106587, + 1.0966201253876313, + 1.0232573018840376, + 0.9628038702859042, + 0.9161081473292758, + 0.8837024488521042, + 0.8657940899256029, + 0.8622638218081847, + 0.8726717070136593, + 0.8962702567149112, + 0.932024482327105, + 0.9786383496227054, + 1.0345869730930832, + 1.0981537541362747, + 1.1674715522551584, + 1.2405668865428836, + 1.3154060975037043, + 1.3899423582880372, + 1.4621624106427635, + 1.5301319145522592, + 1.5920383412577015, + 1.646230406010974, + 1.6912531278269674, + 1.7258777163318628, + 1.7491256177162937, + 1.7602861994773977, + 1.7589277133766146, + 1.7449013438643801, + 1.718338320951291, + 1.6796402478733314, + 1.6294629606605986, + 1.5686943947527692, + 1.4984270792147696, + 1.4199260083195808, + 1.334592750119647, + 1.243926739450734, + 1.149484766483413, + 1.0528397099457862, + 0.9555395756177567, + 0.8590678854373319, + 0.7648064210271321, + 0.6740012587636016, + 0.5877329434191843, + 0.5068915362382397, + 0.4321571439136548, + 0.3639863906184148, + 0.30260513968853653, + 0.2480076087015721, + 0.19996185567671007, + 0.15802144914064611, + 0.12154297502932973, + 0.08970888286536675, + 0.061555036163633906, + 0.03600221104166949, + 0.01189068559640771, + -0.011983016689732201, + -0.03682822143528791, + -0.0638220573429406, + -0.09407229471719833, + -0.12858207065448732, + -0.16821745438928107, + -0.21367873309918403, + -0.26547620261119514, + -0.3239111313293597, + -0.38906243225097087, + -0.4607794305233739, + -0.5386809563391257, + -0.6221608290579821, + -0.7103996324253699, + -0.8023825168316454, + -0.8969226068801105, + -0.9926894451079871, + -1.0882417692848927, + -1.1820638047030976, + -1.2726041572461562, + -1.358316320244043, + -1.4376997600914507, + -1.5093405236015702, + -1.5719503147214864, + -1.624403019511132, + -1.66576771548343, + -1.69533728316665, + -1.712651842111888, + -1.7175163579911492, + -1.7100119088703065, + -1.6905002537207363, + -1.6596215109327246, + -1.618284924940912, + -1.5676528708455684, + -1.5091184158463544, + -1.4442769181915662, + -1.3748922951446658, + -1.3028587274068237, + -1.2301586850940096, + -1.1588182567805358, + -1.0908608358376177, + -1.02826026544645, + -0.9728945640091151, + -0.9265013456359119, + -0.890636016048034, + -0.8666337633664611, + -0.8555762772840282, + -0.8582640210813316, + -0.8751947514628783, + -0.9065488343802048, + -0.952181744426482, + -1.0116239649293866, + -1.0840883296805621, + -1.1684846696118765, + -1.263441452991915, + -1.3673339401363194, + -1.4783182172959182, + -1.594370333129014, + -1.7133296384335448, + -1.8329453286145885, + -1.9509251111704597, + -2.0649848691870956, + -2.172898167693118, + -2.272544453338748, + -2.3619548291351227, + -2.4393543441617114, + -2.503199821797228, + -2.552212357108279, + -2.5854037419215863, + -2.6020962216845396, + -2.6019351479267048, + -2.584894260071747, + -2.551273506366222, + -2.501689491495859, + -2.43705881371859, + -2.3585747227911917, + -2.2676776875101807, + -2.1660206045069805, + -2.055429504579298, + -1.9378607163027708, + -1.8153555264727208, + -1.6899934311831177, + -1.5638450987992203, + -1.4389261661230384, + -1.3171529617641764, + -1.2003011968631558, + -1.0899685842739126, + -0.9875422451179252, + -0.8941716388636294, + -0.8107476128520854, + -0.737888012999075, + -0.6759301331082193, + -0.6249301099238491, + -0.5846691989704383, + -0.5546666966355155, + -0.5341991110523167, + -0.5223250321480188, + -0.5179150134891229, + -0.5196856586556486, + -0.5262370057369581, + -0.5360922275676675, + -0.5477386143331844, + -0.5596687803649042, + -0.5704210388534041, + -0.5786179167037477, + -0.5830018360465626, + -0.5824670675636358, + -0.5760871617435426, + -0.5631371848514646, + -0.5431102236891271, + -0.515727773635254, + -0.4809437841693741, + -0.4389423010405449, + -0.39012881026848795, + -0.3351155520582269, + -0.2747012283537015, + -0.20984567222110842, + -0.14164017689371597, + -0.07127429385754776, + -6.643040434379734e-16 + ], + [ + 0, + 0.07082302580373738, + 0.13945257272913583, + 0.20471079981393123, + 0.2655264818287347, + 0.32096747783389, + 0.37026940363595395, + 0.41285972691893785, + 0.4483766220524917, + 0.4766820569889065, + 0.49786873383245644, + 0.5122606638285684, + 0.52040732265215, + 0.523071498795818, + 0.5212111123420171, + 0.5159554392768849, + 0.5085763237581361, + 0.5004550936356489, + 0.4930460096490514, + 0.4878371731396944, + 0.48630988837837286, + 0.48989752186545354, + 0.49994492097096443, + 0.5176694474686983, + 0.5441246479714319, + 0.5801675237544687, + 0.6264302783738532, + 0.6832973148729812, + 0.750888127823453, + 0.8290465920630087, + 0.9173369933022929, + 1.0150469796399024, + 1.1211974415625239, + 1.2345591554670952, + 1.3536758564142406, + 1.4768932439265376, + 1.6023932742259175, + 1.7282329571308448, + 1.8523867593052024, + 1.9727916206119716, + 2.0873935193926285, + 2.19419447739554, + 2.2912988770065965, + 2.3769579729203776, + 2.4496115172784636, + 2.507925480765013, + 2.5508249407029067, + 2.5775213187306103, + 2.58753328248425, + 2.580700774680966, + 2.557191795491512, + 2.517501736157742, + 2.4624452392683835, + 2.3931407396308595, + 2.3109880149127267, + 2.2176392428943035, + 2.1149642181761004, + 2.0050105217048966, + 1.8899595580812627, + 1.7720794753106588, + 1.6536760570164497, + 1.537042726297712, + 1.4244108221796017, + 1.3179013034321883, + 1.2194790005713148, + 1.1309104759291382, + 1.0537264652792804, + 0.9891897647316852, + 0.9382692961572642, + 0.9016209364478546, + 0.8795755340771007, + 0.8721343646525264, + 0.8789720996300997, + 0.8994471834277049, + 0.9326193381819463, + 0.9772737466252662, + 1.031951306117137, + 1.0949842045604643, + 1.1645359452126212, + 1.2386448452379133, + 1.315269954690259, + 1.3923382903118633, + 1.467792253298478, + 1.5396361025590282, + 1.6059803848506746, + 1.6650832796883097, + 1.7153878986419786, + 1.7555546834619424, + 1.784488172757179, + 1.801357549549003, + 1.8056105383555277, + 1.7969803866320626, + 1.7754858372597206, + 1.741424172070271, + 1.6953575768248261, + 1.6380932414132594, + 1.5706577612818065, + 1.4942665434844176, + 1.4102890399232624, + 1.320210728389894, + 1.2255928365681268, + 1.1280308534297563, + 1.0291128952965727, + 0.9303789897694505, + 0.8332823099236402, + 0.7391533344920117, + 0.6491678287032886, + 0.5643194371153616, + 0.48539755684397295, + 0.4129710201795419, + 0.34737796326298187, + 0.28872209612620386, + 0.23687542308687495, + 0.19148729543114193, + 0.15199951474614182, + 0.11766704930793942, + 0.08758378152540608, + 0.060712575227577434, + 0.03591884081698029, + 0.012006686783172828, + -0.012243319968183971, + -0.03803580340515774, + -0.06652267042768105, + -0.09876666701752622, + -0.13570738173981334, + -0.1781306165179538, + -0.2266419575931797, + -0.281645271094155, + -0.3433267204216114, + -0.41164475991083943, + -0.48632640457782583, + -0.5668699130919573, + -0.6525538545639158, + -0.742452363507883, + -0.8354562256450463, + -0.9302992841643378, + -1.025589515537737, + -1.1198439995832965, + -1.2115269033616953, + -1.2990895153841018, + -1.381011307655417, + -1.4558409698303056, + -1.5222363531302754, + -1.5790022819042169, + -1.6251252373850373, + -1.6598039902118957, + -1.682475353925226, + -1.6928343485801325, + -1.690848199005826, + -1.6767637427406104, + -1.651107984585073, + -1.6146817040393775, + -1.5685461944287584, + -1.514003383990009, + -1.4525697553229742, + -1.3859446362598173, + -1.3159735784519684, + -1.2446076662249785, + -1.1738597043225627, + -1.1057583163638647, + -1.0423010440432112, + -0.9854075687942954, + -0.9368741819575256, + -0.898330606241699, + -0.8712002209508498, + -0.8566646672139563, + -0.8556337091106291, + -0.8687211045284299, + -0.8962270987540293, + -0.9381279975953739, + -0.9940731090424711, + -1.0633891671782278, + -1.1450921735155266, + -1.2379064135153803, + -1.3402902340637377, + -1.4504680053535348, + -1.5664675419025875, + -1.6861621259762238, + -1.8073161656947765, + -1.9276334323095996, + -2.0448067586798495, + -2.156568045408707, + -2.2607374132776727, + -2.355270360746366, + -2.4383018328757142, + -2.508186181923276, + -2.5635320982473653, + -2.603231710638496, + -2.6264831948290293, + -2.6328063843050833, + -2.622051044864337, + -2.594397649546307, + -2.5503506693348132, + -2.490724573039172, + -2.4166229026673633, + -2.3294109542076344, + -2.23068274406434, + -2.1222230748097943, + -2.005965627197324, + -1.8839480958115418, + -1.7582654511556204, + -1.6310224498551371, + -1.5042865261137606, + -1.3800421813818695, + -1.2601479458711091, + -1.1462969162092704, + -1.0399817799627966, + -0.9424651223345245, + -0.8547556759815313, + -0.7775910249646677, + -0.7114271120852074, + -0.6564347293185352, + -0.6125029979361628, + -0.5792496725110623, + -0.5560379355948586, + -0.5419991915729577, + -0.5360612229435886, + -0.5369809435944329, + -0.5433808747116589, + -0.5537883823978944, + -0.5666766539823416, + -0.5805063538477153, + -0.5937668901955209, + -0.6050162416739832, + -0.6129183366805153, + -0.6162770472434027, + -0.6140659518777137, + -0.6054531353087088, + -0.5898204245505635, + -0.5667766071595413, + -0.5361643348246196, + -0.498060579820832, + -0.4527706790665573, + -0.4008161663647413, + -0.3429167536787891, + -0.2799669729505196, + -0.2130081272098224, + -0.14319632009434916, + -0.07176743336097166, + -6.662089672192136e-16 + ], + [ + 0, + 0.07052631784795943, + 0.1383100251168258, + 0.2022185798921409, + 0.2612445866441439, + 0.31453641537656296, + 0.3614245467490537, + 0.4014429233131523, + 0.43434471623642246, + 0.46011206146312256, + 0.47895947551715434, + 0.4913308251424531, + 0.4978898925475418, + 0.49950474493094404, + 0.4972262789809951, + 0.4922614640541494, + 0.4859419478483482, + 0.47968881202971897, + 0.47497436927798603, + 0.4732819749130068, + 0.4760648835323206, + 0.4847052124174159, + 0.500474077992553, + 0.524493949152686, + 0.5577042123004959, + 0.6008308685957654, + 0.6543611860091529, + 0.7185240096661162, + 0.7932762965791571, + 0.8782962885746963, + 0.9729835737808883, + 1.0764661164974596, + 1.1876141618470215, + 1.305060749619695, + 1.4272284054536784, + 1.5523614210958652, + 1.678562992875244, + 1.8038363622808846, + 1.926128997826296, + 2.0433787758616138, + 2.153561061754854, + 2.2547355633724955, + 2.3450918268590337, + 2.422992270476385, + 2.48701170516518, + 2.5359723693084044, + 2.568973608049237, + 2.5854154519790007, + 2.585015493071359, + 2.5678186139359727, + 2.5341992959616464, + 2.4848564085946925, + 2.4208005615497905, + 2.3433342797985333, + 2.2540254333772136, + 2.154674516190963, + 2.0472765160991298, + 1.9339782490205302, + 1.8170321393996602, + 1.6987475154385154, + 1.58144054790988, + 1.4673839946411733, + 1.358757918071402, + 1.2576025204997454, + 1.1657741913136312, + 1.084905783830724, + 1.0163720382829837, + 0.9612609443777278, + 0.9203516947959076, + 0.8940997233987036, + 0.8826291526561557, + 0.8857327980146463, + 0.9028796968940883, + 0.933229951136376, + 0.9756564983671169, + 1.0287732640961877, + 1.0909689964393656, + 1.1604459527221056, + 1.2352624951267488, + 1.3133785636567359, + 1.3927029311323165, + 1.4711411081929928, + 1.5466427571910137, + 1.6172474925663283, + 1.6811279912587953, + 1.7366294087327154, + 1.782304192414733, + 1.8169415023405586, + 1.839590585597615, + 1.8495776033108602, + 1.8465155726476847, + 1.830307257535789, + 1.801141016241988, + 1.7594797873243309, + 1.7060435634574114, + 1.6417858610961817, + 1.567864838987957, + 1.4856098466088445, + 1.3964842915625337, + 1.302045800216392, + 1.2039047063139563, + 1.1036819365669004, + 1.0029673695231056, + 0.9032797242339555, + 0.8060289889829239, + 0.7124823288291949, + 0.6237343158327839, + 0.5406822100116121, + 0.46400688530546835, + 0.3941598465007407, + 0.33135662397600235, + 0.27557666729906904, + 0.22656969034072988, + 0.18386825392702041, + 0.1468062113393483, + 0.11454249124493163, + 0.08608955569836013, + 0.060345751147358274, + 0.03613067091458649, + 0.012222570912860943, + -0.012603171690209731, + -0.03953559320661376, + -0.06969070734833933, + -0.10407610695531379, + -0.14355855907528095, + -0.18883547129649933, + -0.24041100698873563, + -0.2985775067952923, + -0.36340273638008624, + -0.43472332954062826, + -0.5121446351657938, + -0.5950470102098812, + -0.6825984330816007, + -0.7737731468595529, + -0.8673758837294407, + -0.9620710750084371, + -1.056416318822131, + -1.1488992633087571, + -1.237976970072539, + -1.322116752898076, + -1.3998374422914528, + -1.4697500084209902, + -1.53059648401982, + -1.581286164637357, + -1.6209281254680776, + -1.648859180371971, + -1.664666517542592, + -1.6682043749210642, + -1.6596042637425474, + -1.6392784069577606, + -1.6079162267848328, + -1.5664738881667801, + -1.5161570781549645, + -1.4583973708974485, + -1.394822689752509, + -1.3272225280238936, + -1.2575087241647436, + -1.18767270263862, + -1.1197401850401694, + -1.0557244451823904, + -0.9975792248669311, + -0.947152442824654, + -0.906141817372624, + -0.8760534838918141, + -0.8581646221769742, + -0.8534910175944269, + -0.8627603659738877, + -0.8863919979937562, + -0.9244835477332397, + -0.9768049257188802, + -1.042799783178583, + -1.1215944755583303, + -1.2120143540097061, + -1.3126070378978842, + -1.4216721537010233, + -1.537296870074464, + -1.6573964191448092, + -1.7797586737019393, + -1.9020917518236935, + -2.02207354700505, + -2.1374020348777285, + -2.245845188253014, + -2.3452893409829967, + -2.4337848778047504, + -2.5095881910192954, + -2.5711989340101087, + -2.6173917140499423, + -2.647241499836112, + -2.660142169486183, + -2.6558177886509533, + -2.634326381959365, + -2.5960561399683715, + -2.5417141837878354, + -2.472308186203754, + -2.3891213171356394, + -2.2936811385317646, + -2.1877232155177526, + -2.073150333345025, + -1.9519883104820583, + -1.8263394746419064, + -1.6983349188353132, + -1.5700866775155575, + -1.4436409580501133, + -1.320933530309683, + -1.20374831798177, + -1.0936801508249614, + -0.9921025296309727, + -0.9001411278672062, + -0.81865360904339, + -0.7482161804074626, + -0.6891171355799119, + -0.6413574653616464, + -0.6046584415010512, + -0.5784759070010485, + -0.5620208428159404, + -0.5542856285653306, + -0.5540752779178421, + -0.5600428109228962, + -0.5707278286768627, + -0.5845972826416017, + -0.6000873834318641, + -0.6156455730552712, + -0.6297714908593615, + -0.6410558965722317, + -0.648216572903476, + -0.6501303136417114, + -0.6458602088771006, + -0.6346775641743638, + -0.6160779320216396, + -0.5897908880786612, + -0.555783347726966, + -0.5142563860535068, + -0.46563569243546976, + -0.41055595509106696, + -0.34983962717422196, + -0.28447067028066036, + -0.21556399996347003, + -0.14433146778696063, + -0.07204530281365563, + -6.660975580198431e-16 + ], + [ + 0, + 0.0700186118213945, + 0.13676281330870207, + 0.19915551438356313, + 0.256262422772931, + 0.3073205245502755, + 0.35176184456564125, + 0.38923183528057614, + 0.4196018817637003, + 0.44297556318184156, + 0.45968847318004763, + 0.4703015689798794, + 0.47558818759884564, + 0.47651503303185394, + 0.4742175963398006, + 0.4699706173423369, + 0.46515432827349046, + 0.4612173329665949, + 0.4596370669843064, + 0.4618788522279668, + 0.46935460216775654, + 0.4833822497878816, + 0.5051469591628505, + 0.5356651434744657, + 0.5757522481222693, + 0.6259951689047263, + 0.6867300642029012, + 0.7580261893953151, + 0.8396762345815297, + 0.9311934867201738, + 1.0318159684498935, + 1.1405175323443908, + 1.2560257154666983, + 1.3768459891637708, + 1.501291877321952, + 1.6275202668349311, + 1.7535711005707688, + 1.877410529027586, + 1.9969765050297397, + 2.1102257385837007, + 2.215180888127338, + 2.3099768509614482, + 2.3929050300656116, + 2.462454496501658, + 2.5173490352451737, + 2.5565791559477424, + 2.579428266588449, + 2.5854923444257567, + 2.574692591815527, + 2.5472807306066945, + 2.5038367639261496, + 2.4452592139559113, + 2.37274802440426, + 2.2877804923807386, + 2.1920807619997666, + 2.087583567157859, + 1.9763930497554827, + 1.8607375987631605, + 1.742921752039371, + 1.6252762743238103, + 1.510107569593695, + 1.3996476028769569, + 1.296005495240324, + 1.2011219162807472, + 1.1167273319993327, + 1.0443050740444308, + 0.9850600812139868, + 0.9398940286130866, + 0.9093874072763153, + 0.8937889511074674, + 0.8930126327093477, + 0.9066422693462034, + 0.9339435992945564, + 0.9738835116001937, + 1.0251559430794077, + 1.0862137993884475, + 1.1553061159409277, + 1.2305195527858943, + 1.3098232181976146, + 1.3911157410468955, + 1.4722734637898898, + 1.5511986072366104, + 1.6258662655823721, + 1.6943691252461057, + 1.754958862922304, + 1.8060832653237922, + 1.84641822315675, + 1.8748938821528207, + 1.8907143812168026, + 1.8933707682531944, + 1.8826468540109387, + 1.8586179391134892, + 1.8216425249854589, + 1.7723472913044802, + 1.7116057866540018, + 1.64051143119107, + 1.5603455666387205, + 1.4725414064286477, + 1.3786448344985782, + 1.2802730727820715, + 1.1790722831144342, + 1.0766751880621988, + 0.9746597866839058, + 0.8745102057460657, + 0.7775806654229352, + 0.6850634526226169, + 0.5979616870318544, + 0.5170675375347533, + 0.44294640309419325, + 0.3759274161441069, + 0.31610046198852876, + 0.2633197388085094, + 0.21721371391261654, + 0.17720116709882372, + 0.14251285558163723, + 0.11221819082047457, + 0.08525618939193302, + 0.06046985100402898, + 0.03664302959459326, + 0.01253880037550402, + -0.013061711741414678, + -0.04132108773978544, + -0.07330898350782386, + -0.1099680992080627, + -0.15208366815399463, + -0.2002572929038422, + -0.2548858435248607, + -0.31614600175704777, + -0.38398488843224254, + -0.4581170536859451, + -0.5380279442283167, + -0.62298379340159, + -0.7120477122136247, + -0.8041015972504727, + -0.8978733184558344, + -0.9919685101128629, + -1.0849061655356973, + -1.175157133118442, + -1.261184531144988, + -1.3414850432169314, + -1.4146300267754537, + -1.4793053647889691, + -1.5343490153887671, + -1.578785265518331, + -1.6118547713096438, + -1.6330395680659853, + -1.6420823539773277, + -1.6389994910513266, + -1.624087320781025, + -1.5979215569865985, + -1.5613496899798287, + -1.5154765104448529, + -1.4616430338726494, + -1.4013992727301217, + -1.3364714596297746, + -1.2687244666805435, + -1.2001202903746298, + -1.1326735746622414, + -1.0684052246586162, + -1.0092952176655243, + -0.9572357454501907, + -0.9139858212504244, + -0.8811284566914963, + -0.8600314583208853, + -0.8518128120768891, + -0.8573115186330209, + -0.8770646157241875, + -0.9112909783179263, + -0.9598823273580516, + -1.022401706664844, + -1.0980895095879482, + -1.185876956512467, + -1.2844067457198063, + -1.3920604277664952, + -1.5069918916811773, + -1.627166203855611, + -1.750402911131609, + -1.8744228114360646, + -1.9968971110456324, + -2.1154978292434303, + -2.2279482801997874, + -2.332072459134863, + -2.42584218528142, + -2.5074209072474307, + -2.575203155792346, + -2.6278487328427573, + -2.66431085125331, + -2.683857584301015, + -2.6860861436613765, + -2.6709296757565837, + -2.6386564447159073, + -2.589861451400281, + -2.5254507176034364, + -2.4466186382801784, + -2.3548189682467178, + -2.251730159280882, + -2.139215895304215, + -2.0192817841760617, + -1.894029251912017, + -1.765607746778204, + -1.6361663952647914, + -1.5078062586300631, + -1.3825343174417815, + -1.2622202629223194, + -1.1485570991989968, + -1.0430264616811624, + -0.9468694362329944, + -0.8610635246169198, + -0.7863062473315346, + -0.7230057093123491, + -0.6712782811250207, + -0.6309533725505131, + -0.6015851011922835, + -0.5824704902339826, + -0.5726736708959345, + -0.5710554203782827, + -0.5763072386845296, + -0.5869890607979056, + -0.6015696168257486, + -0.6184683939448111, + -0.6360981216559501, + -0.6529066967098316, + -0.6674174861375612, + -0.6782669954729017, + -0.6842389631854139, + -0.68429403962668, + -0.6775943269146627, + -0.6635221921175561, + -0.6416929163806051, + -0.6119609034468205, + -0.5744193382763679, + -0.5293933559359731, + -0.4774269483256655, + -0.4192639974098595, + -0.3558239743612101, + -0.2881729806118373, + -0.21749092580010942, + -0.14503573601086972, + -0.0721055610618618, + -6.639726198458997e-16 + ], + [ + 0, + 0.06930480716877524, + 0.13482578841097395, + 0.19555105957644625, + 0.2506281354561326, + 0.2993899989390592, + 0.3413760402421116, + 0.3763472895668206, + 0.4042955146768391, + 0.42544591423015105, + 0.4402533042075228, + 0.44939186423621025, + 0.45373867872067647, + 0.45435147019520217, + 0.45244107507875453, + 0.449339351152575, + 0.446463328045921, + 0.4452765136825304, + 0.4472483483926558, + 0.4538128521876769, + 0.4663275381044239, + 0.4860336647923326, + 0.5140188745557964, + 0.5511832094764169, + 0.5982094192934274, + 0.6555383723210456, + 0.7233502573253111, + 0.8015521229959314, + 0.8897721459110715, + 0.9873608515538419, + 1.0933993401203852, + 1.2067143938538658, + 1.325900169803357, + 1.4493460155548186, + 1.5752697897745296, + 1.701755928250359, + 1.8267973730669842, + 1.9483403807206028, + 2.064331146960293, + 2.172763133946267, + 2.2717239603139947, + 2.3594407176317773, + 2.4343226075536193, + 2.494999852025146, + 2.540357912849778, + 2.5695661647758534, + 2.582100295439782, + 2.577757852882719, + 2.5566665233814687, + 2.519284895065157, + 2.46639564202439, + 2.3990912449899455, + 2.3187525437352625, + 2.2270205887637267, + 2.1257624213583908, + 2.0170315577418174, + 1.9030240813201804, + 1.7860313536209036, + 1.668390436955803, + 1.552433378022057, + 1.440436530203541, + 1.3345710925429377, + 1.2368560152023937, + 1.1491143653935887, + 1.0729341655906994, + 1.0096346093405566, + 0.9602384317472251, + 0.9254510648586433, + 0.905647046301306, + 0.9008639765412564, + 0.9108041403122704, + 0.9348437254258, + 0.972049391801177, + 1.0212017695157931, + 1.0808253012011533, + 1.1492236951659076, + 1.2245201248146962, + 1.3047012004053136, + 1.3876636535745346, + 1.471262615400506, + 1.5533603364541806, + 1.631874193045127, + 1.7048228477196326, + 1.770369483361298, + 1.8268611076417227, + 1.872863026097983, + 1.9071877052088595, + 1.9289173884127178, + 1.937419984515587, + 1.9323579154773292, + 1.9136897849709724, + 1.8816649060595227, + 1.836810901446419, + 1.7799147587066664, + 1.7119978815340338, + 1.6342858224498258, + 1.548173509076339, + 1.4551868818979772, + 1.3569419438546328, + 1.255102279162552, + 1.1513361291006292, + 1.0472741154659302, + 0.9444686780065656, + 0.8443562410800426, + 0.7482230484226868, + 0.6571755052416369, + 0.5721157464250171, + 0.49372301159168314, + 0.42244125548991357, + 0.35847325977213407, + 0.3017813435394707, + 0.25209459953213664, + 0.20892241474684825, + 0.1715738728315331, + 0.13918248490800567, + 0.11073555929850143, + 0.08510740240574415, + 0.061095445687679856, + 0.037458319717397714, + 0.012954847576491662, + -0.013617092489192744, + -0.043382880570224866, + -0.07735565867678515, + -0.11640398080456205, + -0.16122348378746398, + -0.21231334865737234, + -0.2699581978086077, + -0.33421593215345186, + -0.4049118582265399, + -0.48163929175398074, + -0.563766655686275, + -0.6504509213715965, + -0.7406570757112249, + -0.8331831390015039, + -0.9266901117470399, + -1.019736097758619, + -1.11081373867308, + -1.1983900045301725, + -1.28094731855183, + -1.3570249535312893, + -1.425259623348701, + -1.4844242065101705, + -1.5334635789989546, + -1.571526600194358, + -1.597993386563631, + -1.612497121057254, + -1.614939778868592, + -1.6055012991919397, + -1.5846418941523532, + -1.5530973561886081, + -1.5118673996265455, + -1.4621972466455018, + -1.405552837966817, + -1.34359021012995, + -1.2781197301217166, + -1.2110660106456368, + -1.1444244421171281, + -1.0802153676845971, + -1.0204369928971901, + -0.9670181603702874, + -0.9217721308970417, + -0.8863524955572889, + -0.8622122988138216, + -0.8505673813744459, + -0.8523648554105013, + -0.8682575058516352, + -0.8985847727795623, + -0.9433608147705551, + -1.0022699851492738, + -1.0746698765960576, + -1.1596019086954632, + -1.2558092522379358, + -1.361761707805497, + -1.4756869886981976, + -1.5956077036910554, + -1.7193831972404974, + -1.8447552869669663, + -1.969396843420298, + -2.090962087619166, + -2.2071374393595793, + -2.315691734863389, + -2.4145246463522025, + -2.5017121782553695, + -2.575548183973931, + -2.6345809417452215, + -2.677643945880618, + -2.7038802076143456, + -2.7127595146402514, + -2.7040882663514507, + -2.678011678741011, + -2.6350083345583024, + -2.5758772362218436, + -2.5017176967386234, + -2.4139025731514527, + -2.314045503721003, + -2.203962950352934, + -2.0856319683135833, + -1.961144723140539, + -1.8326608475080284, + -1.7023587769297337, + -1.572387221511184, + -1.4448179211219578, + -1.32160079366141, + -1.204522521539628, + -1.0951695317477257, + -0.9948962122249868, + -0.9047990744815655, + -0.8256974229306391, + -0.7581209288552524, + -0.7023043354296022, + -0.6581893439901435, + -0.6254335551755369, + -0.603426165990906, + -0.5913099595569921, + -0.5880089723195395, + -0.5922610875453292, + -0.6026546873386321, + -0.6176684010069527, + -0.635712917661578, + -0.6551737871162896, + -0.6744541164528444, + -0.6920160803818428, + -0.7064202013853409, + -0.716361419549726, + -0.7207010603024644, + -0.7184939186667996, + -0.7090098083085397, + -0.6917490692565216, + -0.666451686027269, + -0.6330998339691366, + -0.5919138417554183, + -0.5433417277992074, + -0.4880426336476989, + -0.4268646339727001, + -0.3608175466646593, + -0.2910414941397051, + -0.21877207507634777, + -0.1453030916976161, + -0.07194783925349059, + -6.598554475674729e-16 + ], + [ + 0, + 0.06839173407783541, + 0.13251749925874046, + 0.19143987609534655, + 0.24439623220675902, + 0.29082212645243316, + 0.330369213757019, + 0.36291715462453383, + 0.38857918922117685, + 0.4077012006885435, + 0.42085426189882924, + 0.4288208298838406, + 0.432574918347905, + 0.4332567367915712, + 0.4321424308073797, + 0.4306096883394417, + 0.4301000877965937, + 0.432079153022542, + 0.43799514495219566, + 0.4492376586245897, + 0.4670971060323001, + 0.4927261496947582, + 0.5271041091646883, + 0.5710052939090571, + 0.6249721228000062, + 0.6892937750741459, + 0.7639909828965401, + 0.8488074249148497, + 0.943208017133017, + 1.0463842261118708, + 1.1572663541704729, + 1.2745425712810647, + 1.3966842980872434, + 1.5219773831874504, + 1.6485583695579895, + 1.7744550134718096, + 1.8976301078232969, + 2.0160275732272552, + 2.1276197168921462, + 2.230454522724738, + 2.322701827396284, + 2.4026972564935227, + 2.4689828420009396, + 2.5203433161374735, + 2.555837175264448, + 2.574821728837193, + 2.576971489274457, + 2.5622894157623337, + 2.531110694581374, + 2.4840989164234557, + 2.4222346930140075, + 2.3467969367367574, + 2.2593372034384136, + 2.161647665850808, + 2.0557234390094163, + 1.9437201158944237, + 1.8279074879126096, + 1.7106205179134926, + 1.5942087008984456, + 1.4809849877697834, + 1.3731754593786272, + 1.2728709214578637, + 1.1819815461619034, + 1.102195613960943, + 1.0349433123001617, + 0.9813664271011725, + 0.9422946227839872, + 0.9182288494431438, + 0.9093322459486155, + 0.9154287291992868, + 0.93600927688381, + 0.97024572835262, + 1.017011750022058, + 1.0749104424470575, + 1.1423079099207438, + 1.2173719739722746, + 1.298115092807251, + 1.382440452437458, + 1.4681901242803848, + 1.553194140048788, + 1.6353193188077797, + 1.7125166934707856, + 1.7828664243600236, + 1.8446191547080717, + 1.8962328554006251, + 1.9364043215173636, + 1.9640946184193442, + 1.9785479268748483, + 1.9793034012259378, + 1.9661998277840989, + 1.9393730482079117, + 1.8992462901632483, + 1.8465137207115574, + 1.7821177023479973, + 1.7072203833763773, + 1.6231703896447147, + 1.5314655002719757, + 1.4337122830694993, + 1.3315837336618632, + 1.2267760042250555, + 1.1209653223285878, + 1.0157661873194166, + 0.9126918914354284, + 0.8131183464780544, + 0.7182521061503911, + 0.6291033614271516, + 0.5464645544596248, + 0.4708951088990633, + 0.4027126149008247, + 0.34199063949765746, + 0.2885631617454657, + 0.24203546137637552, + 0.20180112394769759, + 0.16706466882785437, + 0.13686916275345704, + 0.11012805473546357, + 0.0856603609738409, + 0.06222824384449371, + 0.038575969065562654, + 0.013469191326821122, + -0.014266488188768951, + -0.04570872869237693, + -0.08180441051965688, + -0.12333926687181829, + -0.17091200790638464, + -0.22491364155674598, + -0.28551256033241695, + -0.35264581347990304, + -0.42601682306257094, + -0.5050996348199079, + -0.589149624341103, + -0.6772204104529954, + -0.7681865650576303, + -0.8607715560931102, + -0.9535802217164874, + -1.0451349527553697, + -1.1339146600456036, + -1.2183955260517272, + -1.2970924881614647, + -1.3686003756314484, + -1.4316336240497778, + -1.4850635203992106, + -1.527951987694322, + -1.559580999399381, + -1.57947681844538, + -1.5874283811003915, + -1.5834992891263688, + -1.568033031046956, + -1.5416512210611648, + -1.505244818007291, + -1.4599584624873723, + -1.4071682434266297, + -1.3484533716395986, + -1.285562393241141, + -1.2203747160768834, + -1.1548583442167533, + -1.0910248158702052, + -1.030882416283863, + -0.9763887873043077, + -0.9294040780057773, + -0.8916457754447507, + -0.8646463212539396, + -0.8497145591623356, + -0.8479019720365839, + -0.8599745567341915, + -0.8863910535842213, + -0.9272880978366461, + -0.9824726965667927, + -1.051422260266067, + -1.1332922379366002, + -1.2269312223358473, + -1.3309032125374989, + -1.4435165485770989, + -1.562858871856579, + -1.6868373191400596, + -1.8132230309639545, + -1.939698950227746, + -2.0639098062138506, + -2.183513125291594, + -2.296230083429006, + -2.399895018022663, + -2.492502447417731, + -2.5722505050883, + -2.637579780362619, + -2.687206666746802, + -2.7201504496659776, + -2.7357535146197733, + -2.7336942207038195, + -2.7139921591856626, + -2.6770056980849533, + -2.623421897079296, + -2.5542390580759884, + -2.470742351054164, + -2.3744731180596834, + -2.2671926065674457, + -2.150841013225502, + -2.027492827133068, + -1.8993095456869296, + -1.768490893663419, + -1.6372257062388826, + -1.5076436384234624, + -1.3817688369187404, + -1.2614766564333453, + -1.1484544223987625, + -1.0441671378592114, + -0.9498289066916052, + -0.8663807013947367, + -0.794474945066122, + -0.7344672078103798, + -0.6864151419028204, + -0.6500846019249534, + -0.6249627201997153, + -0.6102775385225073, + -0.605023638576839, + -0.6079930694321604, + -0.6178107446668935, + -0.6329733770038367, + -0.6518909374165123, + -0.6729295703969033, + -0.6944548687573411, + -0.7148744105888877, + -0.7326784877431206, + -0.7464780086871159, + -0.7550386373793703, + -0.7573103318755787, + -0.7524515690683806, + -0.7398476821541532, + -0.7191228915308034, + -0.6901457739488422, + -0.6530280847060462, + -0.6081170191951687, + -0.5559811688543785, + -0.49739058827709476, + -0.43329154083948757, + -0.36477662591247045, + -0.29305110813137597, + -0.2193963653551854, + -0.14513144445016934, + -0.07157376106929307, + -6.537857729509137e-16 + ], + [ + 0, + 0.06728810203619852, + 0.12986004010787744, + 0.18686153036703065, + 0.23762709841885224, + 0.28170058668063247, + 0.3188498371445671, + 0.34907513943539087, + 0.37261119631561135, + 0.3899225276335086, + 0.4016924048525674, + 0.4088055774053858, + 0.4123252148879401, + 0.41346464141448647, + 0.41355457641173116, + 0.4140067162221167, + 0.416274590034266, + 0.42181269931029625, + 0.43203500006832524, + 0.4482738107742456, + 0.4717402245405235, + 0.5034870728501367, + 0.544375429837463, + 0.5950455626525684, + 0.6558931266355554, + 0.7270512765454239, + 0.8083792200581591, + 0.8994575807518934, + 0.9995907687699871, + 1.107816382492048, + 1.2229214881993353, + 1.343465451292641, + 1.4678088264428806, + 1.5941476592921056, + 1.7205524128655796, + 1.8450106112229658, + 1.965472194127553, + 2.079896502170033, + 2.186299763770969, + 2.2828019350789304, + 2.367671751573737, + 2.439368886074114, + 2.4965821710390976, + 2.538262932069386, + 2.563652592244077, + 2.5723038406666956, + 2.5640948101150514, + 2.5392358743216454, + 2.4982688511300366, + 2.442058579297965, + 2.371777019620414, + 2.288880210855067, + 2.195078583248145, + 2.0923012930582163, + 1.9826553864190952, + 1.8683807266103956, + 1.7518017222230153, + 1.6352769722684415, + 1.5211479960441685, + 1.4116882392467203, + 1.3090535428202392, + 1.2152352274459695, + 1.1320168852193602, + 1.0609358824111867, + 1.003250465394115, + 0.9599132285559384, + 0.9315515515591296, + 0.9184554473318646, + 0.9205730857314453, + 0.9375140752039394, + 0.9685604004204235, + 1.0126847322856094, + 1.0685756523035206, + 1.1346691702820766, + 1.2091857667152783, + 1.290172062468535, + 1.375546111712148, + 1.4631452319573335, + 1.5507752295005504, + 1.6362598508709028, + 1.7174892916145843, + 1.7924666228499373, + 1.8593510527018453, + 1.9164970225124376, + 1.9624882445239238, + 1.9961659158502976, + 2.0166504897877555, + 2.0233565462105756, + 2.0160004739611326, + 1.9946008555222141, + 1.959471623464257, + 1.9112082347621433, + 1.850667278722256, + 1.7789400927795669, + 1.697321103930227, + 1.607271738552775, + 1.5103808468028785, + 1.4083226671474338, + 1.3028134100417055, + 1.1955675660055174, + 1.0882550418582797, + 0.9824601997566974, + 0.8796438177611852, + 0.781108909420988, + 0.6879712354270642, + 0.6011352154242862, + 0.5212758057964753, + 0.4488267532621088, + 0.3839754684050331, + 0.32666459200906395, + 0.2766001545964601, + 0.23326606023952115, + 0.19594446378843272, + 0.16374146021172675, + 0.13561736955905315, + 0.11042078452246885, + 0.08692545261229773, + 0.0638689939515345, + 0.03999241039894131, + 0.014079323256836317, + -0.015006114349909866, + -0.048283648464290785, + -0.08662465470597273, + -0.13072403761824736, + -0.18107705960547643, + -0.23796173167009269, + -0.3014272533949243, + -0.3712888322013976, + -0.44712904583528273, + -0.5283057414975006, + -0.6139662943716839, + -0.7030678818323823, + -0.7944032715760999, + -0.8866314763216196, + -0.9783124982871886, + -1.0679452766792412, + -1.1540078637438045, + -1.234998791804857, + -1.3094785567971878, + -1.3761101340922721, + -1.4336974602307972, + -1.481220859141006, + -1.5178684624824161, + -1.5430627691986787, + -1.5564816068655838, + -1.5580728940983355, + -1.5480627557680031, + -1.5269567073002426, + -1.495533796810463, + -1.4548337699817597, + -1.406137498026823, + -1.3509410794124566, + -1.2909241870019046, + -1.2279133798458506, + -1.163841229311433, + -1.100702219280707, + -1.040506466975515, + -0.9852323723447701, + -0.9367793382779378, + -0.8969217102474837, + -0.8672650620861186, + -0.8492059049229261, + -0.8438958199744505, + -0.852210914712003, + -0.8747273783210244, + -0.9117037693064242, + -0.9630705090390027, + -1.0284268838418895, + -1.1070456790478704, + -1.1978853856865137, + -1.299609738548009, + -1.410614167767607, + -1.5290585791052107, + -1.652905724853164, + -1.7799642915526197, + -1.907935715772696, + -2.034463647935212, + -2.1571849188035808, + -2.2737808254156264, + -2.3820275438719944, + -2.4798444957427694, + -2.5653395424698813, + -2.6368499568751105, + -2.6929782209211224, + -2.7326218217860427, + -2.754996361108928, + -2.759651451467942, + -2.7464790458869186, + -2.7157140262464603, + -2.6679270605177003, + -2.604009922260518, + -2.5251536443697926, + -2.4328200482750306, + -2.3287073455949443, + -2.214710647846294, + -2.092878337859522, + -1.9653653512231755, + -1.8343844851034228, + -1.7021568935353517, + -1.5708629418022015, + -1.4425945775453763, + -1.319310333219826, + -1.2027940045550662, + -1.0946179545882249, + -0.9961118750059543, + -0.908337698925129, + -0.8320712052977749, + -0.7677906886792425, + -0.7156728932858094, + -0.6755962314230698, + -0.6471511279123412, + -0.6296571584836783, + -0.6221864855162081, + -0.6235929430306661, + -0.6325459881820656, + -0.6475686219439336, + -0.6670782899942651, + -0.6894297082076779, + -0.7129585172003686, + -0.7360246579696207, + -0.7570543760357544, + -0.7745798041561356, + -0.7872751424842978, + -0.7939885481875776, + -0.7937689616057878, + -0.7858872300798934, + -0.7698510401829901, + -0.7454133304430004, + -0.7125740256665226, + -0.6715751063809055, + -0.6228891983528562, + -0.5672020332943092, + -0.5053892885463335, + -0.43848845679922177, + -0.36766652316359083, + -0.29418433298687235, + -0.21935861705607623, + -0.1445226991623389, + -0.07098694297531533, + -6.458215240931518e-16 + ], + [ + 0, + 0.06600442907623458, + 0.12687886151054661, + 0.18186014453583327, + 0.2303864503352222, + 0.27211467891775754, + 0.3069317587212382, + 0.3349595251214347, + 0.35655302435809244, + 0.3722922618578627, + 0.38296758519415247, + 0.3895590586278258, + 0.39321034408584954, + 0.3951977485400672, + 0.3968952263461962, + 0.3997362339060529, + 0.4051734202298947, + 0.4146371983709155, + 0.4294942776712515, + 0.45100724435071665, + 0.4802962579242461, + 0.5183038836831864, + 0.5657640081338953, + 0.6231756866255963, + 0.6907826528017935, + 0.7685590809135974, + 0.856202037858308, + 0.9531308958686017, + 1.0584938031948663, + 1.171181133213942, + 1.2898456565723824, + 1.412929010625379, + 1.538693879830664, + 1.6652611539347362, + 1.7906512014472866, + 1.912828287313746, + 2.0297470786320777, + 2.1394001229076887, + 2.2398651512559806, + 2.32935105502994, + 2.40624140875917, + 2.4691344645249473, + 2.516878621762066, + 2.5486024801106604, + 2.5637387088628665, + 2.5620411117281687, + 2.5435944265650035, + 2.508816572487603, + 2.4584532371507333, + 2.3935648806404894, + 2.3155064147697235, + 2.225899993229136, + 2.1266015146508024, + 2.0196615931122106, + 1.9072818852000195, + 1.7917677761523911, + 1.6754785170119915, + 1.560775967939553, + 1.44997313829075, + 1.3452837208578414, + 1.2487737956333418, + 1.16231682808412, + 1.0875530094426247, + 1.0258538838030673, + 0.9782930813490097, + 0.9456238318848432, + 0.9282637715306774, + 0.9262873818946871, + 0.9394262194852339, + 0.9670769079864203, + 1.008316681800508, + 1.061926090438447, + 1.1264183042598583, + 1.2000743068275477, + 1.2809831215079983, + 1.3670861032405692, + 1.4562242334212112, + 1.546187288821156, + 1.6347637159684947, + 1.7197900313632588, + 1.7991985854776025, + 1.8710625742113998, + 1.9336372541378184, + 1.9853964156321158, + 2.025063288362729, + 2.051635193619477, + 2.064401414062796, + 2.0629539198155316, + 2.0471907662055187, + 2.01731215853412, + 1.9738093585432497, + 1.9174467813593625, + 1.8492377963250406, + 1.7704148962479884, + 1.6823950335089348, + 1.5867410349144184, + 1.4851200974132535, + 1.3792604316548784, + 1.2709071583276368, + 1.1617785724209748, + 1.0535238728469483, + 0.9476834097668424, + 0.8456524307145005, + 0.7486492110543328, + 0.657688336927387, + 0.5735597726322688, + 0.49681419283192807, + 0.4277548969233367, + 0.36643645248600937, + 0.31267004124590075, + 0.2660353088313737, + 0.22589835309582304, + 0.19143532912645195, + 0.16166100618732485, + 0.13546148634201557, + 0.11163018951129688, + 0.08890612786954669, + 0.06601343581031374, + 0.041701091622181934, + 0.014781764245698647, + -0.015831256922515545, + -0.0510900398936544, + -0.09178180960716407, + -0.13850338291679024, + -0.19164093176482191, + -0.2513556283463555, + -0.3175755728328335, + -0.3899942405637584, + -0.46807551567578115, + -0.5510652062276307, + -0.6380087663588355, + -0.7277747881935889, + -0.8190836742075618, + -0.9105407634855416, + -1.0006730662155328, + -1.087968662941484, + -1.170917751051386, + -1.2480542726360269, + -1.3179970364984945, + -1.3794892533321346, + -1.431435436830178, + -1.472934683968116, + -1.503309433462682, + -1.5221289103755555, + -1.5292265943262, + -1.5247111956185937, + -1.5089707841417324, + -1.4826698861944814, + -1.4467395401800287, + -1.4023604790357231, + -1.3509397808947172, + -1.2940814954718751, + -1.2335519078648693, + -1.1712402399814756, + -1.1091157091480617, + -1.0491819605907902, + -0.9934299629250349, + -0.9437905016607535, + -0.9020874238078912, + -0.8699927764078439, + -0.8489849433865745, + -0.8403108193812622, + -0.8449529676713132, + -0.8636025942223711, + -0.8966390338914856, + -0.9441162913251036, + -1.0057570117304053, + -1.0809540795833366, + -1.1687798607698745, + -1.2680029200979932, + -1.3771118660549797, + -1.4943458025282303, + -1.6177307071777896, + -1.7451209121756956, + -1.8742447386489498, + -2.002753234443243, + -2.128270888272719, + -2.248447143831917, + -2.36100751625376, + -2.4638031209413724, + -2.5548574611178787, + -2.632409384557993, + -2.694951210341059, + -2.7412611409040832, + -2.7704292103953705, + -2.781876174032065, + -2.775364911106831, + -2.751004092381303, + -2.709244046510295, + -2.6508649453852486, + -2.57695761036147, + -2.488897415815944, + -2.3883119291348507, + -2.277043073110504, + -2.157104724284089, + -2.030636765929891, + -1.8998566946173983, + -1.7670099327031712, + -1.6343200244496587, + -1.5039398901881649, + -1.3779052811881232, + -1.25809151851263, + -1.1461745136585622, + -1.0435969593636516, + -0.9515404483637319, + -0.8709041293682115, + -0.8022903467928713, + -0.74599753789077, + -0.7020204821421706, + -0.6700578175259135, + -0.6495265610470684, + -0.6395832010047431, + -0.6391507701233335, + -0.6469511657189863, + -0.6615418590185502, + -0.6813560336021945, + -0.7047451151637423, + -0.7300226032242202, + -0.7555080912881027, + -0.7795703657069218, + -0.8006685050244758, + -0.8173899599437139, + -0.8284846777318902, + -0.8328944416941491, + -0.8297767235485684, + -0.8185224908774198, + -0.7987675696356367, + -0.7703973289655209, + -0.7335446280626932, + -0.688581138205552, + -0.6361023229273044, + -0.5769065213986492, + -0.5119687303250995, + -0.4424098142727141, + -0.3694619899448431, + -0.2944315236465138, + -0.21865965065207055, + -0.14348276870745952, + -0.07019297437767816, + -6.360383996543962e-16 + ], + [ + 0, + 0.0645529523283376, + 0.12360254611616858, + 0.17648399814629379, + 0.2227447306591163, + 0.2621584884188979, + 0.29473312637499477, + 0.32071184204031195, + 0.34056779769929524, + 0.3549922501849313, + 0.3648764758482459, + 0.37128794117067954, + 0.3754413210996816, + 0.3786651037593026, + 0.38236463821398003, + 0.3879825784212629, + 0.3969577489130095, + 0.4106835042111161, + 0.4304666732789158, + 0.45748817187959495, + 0.4927663297001851, + 0.5371239163383663, + 0.5911597622463903, + 0.6552257596245189, + 0.7294098967809285, + 0.8135258308672394, + 0.9071093418351052, + 1.009421838960525, + 1.1194609146137893, + 1.2359777625180688, + 1.3575011039711513, + 1.4823670997540108, + 1.6087545718780458, + 1.7347247217978001, + 1.8582644137148758, + 1.9773319961219045, + 2.089904564229932, + 2.1940255222217804, + 2.2878512885502507, + 2.369696000235247, + 2.438073113086008, + 2.491732863062516, + 2.5296946479951403, + 2.5512735063662215, + 2.5561000079999006, + 2.5441330269699782, + 2.5156650360493162, + 2.4713197404770555, + 2.412042052360376, + 2.339080591172275, + 2.253963076049924, + 2.1584651475232794, + 2.0545733156919397, + 1.9444428748040297, + 1.8303517471564963, + 1.7146513192011492, + 1.5997154072346045, + 1.4878885372256163, + 1.3814347420102882, + 1.2824880687824782, + 1.1930059507505193, + 1.1147265299547982, + 1.0491309251563203, + 0.997411321670733, + 0.9604456218768934, + 0.9387792392334761, + 0.9326144487844282, + 0.9418075274584405, + 0.965873732342378, + 1.0039999790384881, + 1.055064899725721, + 1.1176657860715125, + 1.1901517599169797, + 1.2706623686171086, + 1.3571706755892223, + 1.4475298130518017, + 1.5395218856045574, + 1.6309080620692507, + 1.7194786700732427, + 1.803102113709623, + 1.8797714690395428, + 1.9476476743003004, + 2.005098319856449, + 2.0507311549511065, + 2.0834215613683655, + 2.102333394881326, + 2.1069327600789656, + 2.096994458749009, + 2.0726010321172397, + 2.034134498454149, + 1.9822610653872204, + 1.917909266325326, + 1.8422421285360298, + 1.7566241227474448, + 1.662583767204138, + 1.5617728599080862, + 1.4559233888959886, + 1.3468032200374949, + 1.2361716838410064, + 1.125736176670619, + 1.0171108578554497, + 0.9117784633494115, + 0.8110561704830771, + 0.7160663391737992, + 0.6277128255315261, + 0.5466634174215866, + 0.47333878194500456, + 0.4079081460181184, + 0.350291757545755, + 0.30017000046993797, + 0.2569988666295791, + 0.22003132517197427, + 0.18834398028945604, + 0.1608682740770078, + 0.1364253766748766, + 0.11376381344023273, + 0.09159881098794392, + 0.06865230223789427, + 0.04369251612970895, + 0.015572090753763226, + -0.016736311055682997, + -0.05410783815413301, + -0.0972376031022511, + -0.1466179002307815, + -0.20252110785580354, + -0.2649887444577323, + -0.33382698819044737, + -0.4086088005486361, + -0.4886826226655924, + -0.5731874409122402, + -0.6610738515820439, + -0.7511305967157168, + -0.8420158985576992, + -0.9322927924288842, + -1.0204675502123162, + -1.1050302019439224, + -1.1844961033696257, + -1.257447464337414, + -1.3225737474347945, + -1.3787098685649486, + -1.4248711806893197, + -1.4602842975760861, + -1.4844129142523717, + -1.4969779025218917, + -1.497971100386096, + -1.4876623700264553, + -1.4665996663075311, + -1.4356020323891268, + -1.395745616642964, + -1.3483429812231786, + -1.294916142934658, + -1.2371639472093465, + -1.176924522010874, + -1.1161336866582927, + -1.0567802976413596, + -1.000859596760469, + -0.9503256842167939, + -0.9070442690951209, + -0.8727468511930492, + -0.8489874612255199, + -0.8371030316461333, + -0.8381783889401844, + -0.8530167521825786, + -0.8821164944541902, + -0.9256547764617066, + -0.9834784989731974, + -1.0551028464178953, + -1.1397175124480168, + -1.2362005138542995, + -1.3431393164735108, + -1.4588588201007187, + -1.5814555832524422, + -1.7088375169987484, + -1.838768143721526, + -1.9689144048460019, + -2.096896914093219, + -2.2203414917771553, + -2.336930782640589, + -2.4444547555217655, + -2.5408589078972357, + -2.6242890514733164, + -2.693131635222905, + -2.746048667645442, + -2.7820064280084127, + -2.800297303799452, + -2.8005542549906584, + -2.7827575810160874, + -2.747233849322045, + -2.6946470305153865, + -2.625982069978253, + -2.5425213048447297, + -2.445814304097103, + -2.3376418641412404, + -2.219975028819226, + -2.0949301181147195, + -1.9647208410314765, + -1.8316086330991588, + -1.6978523961519312, + -1.5656588265868967, + -1.4371344980977805, + -1.3142408164582429, + -1.1987528885537548, + -1.092223247448787, + -0.9959512523544659, + -0.9109588400094129, + -0.8379731457534758, + -0.777416342395049, + -0.7294028670686159, + -0.6937440250525072, + -0.6699597794433895, + -0.6572973610997938, + -0.6547561686613191, + -0.6611182777573665, + -0.6749837454203742, + -0.6948097834497852, + -0.7189527857471232, + -0.7457121315810429, + -0.7733746508237757, + -0.800258629228427, + -0.8247562518940883, + -0.8453734305990038, + -0.8607660343933767, + -0.8697716408064973, + -0.8714360447090835, + -0.8650339002159352, + -0.8500830244908055, + -0.8263520570276384, + -0.7938613397592577, + -0.7528770578457373, + -0.7038988538193296, + -0.6476412945587019, + -0.5850097271386844, + -0.5170712020215739, + -0.44502126675156584, + -0.37014753716459314, + -0.29379103353861113, + -0.2173063240829408, + -0.1420215463406075, + -0.06919937777100103, + -6.245292612340705e-16 + ], + [ + 0, + 0.06294752070166254, + 0.12006255151493045, + 0.17078508543100954, + 0.21477645271956614, + 0.2519299991381634, + 0.2823752606698736, + 0.30647550568680654, + 0.32481868862990504, + 0.33820203158627643, + 0.34761061716045727, + 0.35419053353129043, + 0.3592172565537051, + 0.36406008053388483, + 0.37014351563543624, + 0.3789066530322733, + 0.3917615567596029, + 0.4100517722100472, + 0.43501204453246056, + 0.4677303156655944, + 0.5091130169253553, + 0.559854596196808, + 0.6204121167498846, + 0.6909856409999499, + 0.771504970217566, + 0.8616231537750249, + 0.9607170129044792, + 1.0678947483262409, + 1.1820105228622493, + 1.3016857337305874, + 1.4253365190381708, + 1.5512068833207944, + 1.6774066818407487, + 1.8019535764080794, + 1.922817969963494, + 2.037969845745739, + 2.1454263816674146, + 2.243299182998674, + 2.3298399773827625, + 2.4034836456522286, + 2.4628875192452617, + 2.506965958911743, + 2.5349193378625, + 2.5462566829558444, + 2.540811376787572, + 2.51874948803849, + 2.480570473138939, + 2.4271001749510885, + 2.359476229286682, + 2.2791261731419064, + 2.1877387250566755, + 2.087228873661632, + 1.979697561191838, + 1.867386880812971, + 1.7526318167675579, + 1.6378096418842334, + 1.5252881457810168, + 1.4173738976678405, + 1.3162617492375448, + 1.2239867556619424, + 1.1423796368253456, + 1.0730268179742606, + 1.017235980942813, + 0.9760079266487747, + 0.9500153998131862, + 0.9395893614786959, + 0.9447130179111388, + 0.9650237301722427, + 0.9998227415330385, + 1.0480924745088218, + 1.1085209701439407, + 1.1795328736092852, + 1.2593262162852503, + 1.3459141090135682, + 1.437170347383473, + 1.530877840507226, + 1.6247787118719554, + 1.7166248860092066, + 1.8042279686930252, + 1.8855072512433566, + 1.9585347206487396, + 2.021576035309322, + 2.073126529258437, + 2.11194143315741, + 2.1370596450368073, + 2.1478205440742326, + 2.1438735126708766, + 2.125180011455331, + 2.0920082341679715, + 2.044920550164408, + 1.9847541170710075, + 1.912595210636552, + 1.829747969022978, + 1.7376983809993922, + 1.638074458535427, + 1.5326036214538008, + 1.4230683830165993, + 1.3112614591542386, + 1.1989414297519896, + 1.087790057939837, + 0.979372323341952, + 0.8751001490704943, + 0.7762007018835171, + 0.6836900229555203, + 0.5983526062533215, + 0.5207273861462622, + 0.4511004295507374, + 0.3895044548237266, + 0.3357251241493613, + 0.289313882728928, + 0.249606951052521, + 0.21574992009648383, + 0.18672725737926896, + 0.16139590797395093, + 0.13852207191385726, + 0.11682016049865712, + 0.0949928807721259, + 0.07177137121189144, + 0.04595431307742262, + 0.016444970840784504, + -0.01771482908344059, + -0.057314690920707685, + -0.10295041856362555, + -0.15500424104752925, + -0.21363103188065224, + -0.2787509031870051, + -0.3500483892903936, + -0.42697826237552844, + -0.5087778495699415, + -0.5944855505962798, + -0.6829650923713817, + -0.7729349057150295, + -0.8630018735289956, + -0.9516985828830342, + -1.0375231183944296, + -1.1189803635607292, + -1.1946237321415096, + -1.2630962344696621, + -1.323169794205412, + -1.3737817693278664, + -1.4140676961958611, + -1.443389365735754, + -1.461357454027365, + -1.4678480629793365, + -1.463012677118472, + -1.4472812060412785, + -1.4213579547288964, + -1.3862105414114652, + -1.3430519605565439, + -1.2933161624012268, + -1.2386276858919165, + -1.1807660347822921, + -1.1216256231146038, + -1.063172232917791, + -1.007397020729567, + -0.9562691780810095, + -0.9116883925846179, + -0.875438269620762, + -0.8491418593980175, + -0.8342203906527322, + -0.8318562414355617, + -0.8429610809686856, + -0.8681499967453568, + -0.907722280763311, + -0.9616493914262637, + -1.0295704370319338, + -1.1107953470436067, + -1.2043157128994135, + -1.308823095457981, + -1.4227344158314086, + -1.5442238747389967, + -1.671260686841677, + -1.801651774689256, + -1.9330884454240047, + -2.063195975232, + -2.1895849541478194, + -2.3099031989968295, + -2.4218870261282253, + -2.523410688573505, + -2.612532824068975, + -2.6875388300109857, + -2.7469781771899937, + -2.789695793755965, + -2.8148567913991887, + -2.8219639637727063, + -2.8108676588905754, + -2.781767808432741, + -2.735208083162913, + -2.6720623304890236, + -2.593513633023412, + -2.501026501389746, + -2.396312876242778, + -2.2812927595969033, + -2.1580504205913296, + -2.0287872227401533, + -1.8957721960830312, + -1.7612915266523088, + -1.6275981561661994, + -1.496862676406568, + -1.371126665616785, + -1.2522595494367617, + -1.1419199780333833, + -1.0415225964793202, + -0.9522109499529475, + -0.8748371123587276, + -0.8099484603059794, + -0.7577818381694315, + -0.7182651785491692, + -0.6910264603311643, + -0.675409708211603, + -0.6704975673734365, + -0.6751398291661722, + -0.6879871419986824, + -0.7075290196590124, + -0.7321351598790127, + -0.7600990115525691, + -0.7896824813553001, + -0.8191606506941004, + -0.8468653823352924, + -0.8712267324150212, + -0.8908111468256404, + -0.9043555095277017, + -0.9107962218644101, + -0.9092926235899095, + -0.8992442147050943, + -0.8803012985533494, + -0.8523688368748709, + -0.8156034823487754, + -0.7704039291563534, + -0.7173948928697323, + -0.6574051932135494, + -0.5914405628898748, + -0.5206519389475069, + -0.4463001067801332, + -0.36971765791733247, + -0.2922692890607606, + -0.21531150967353693, + -0.1401528378790477, + -0.06801554918177338, + -6.114033491549012e-16 + ], + [ + 0, + 0.06120347070194756, + 0.1162929225949672, + 0.1648186325228528, + 0.20655949966411274, + 0.24153016179030923, + 0.2699814890904767, + 0.292394425211759, + 0.3094673190726178, + 0.3220970614561955, + 0.33135450305785286, + 0.3384547814059569, + 0.34472331905893916, + 0.3515583712581879, + 0.36039109481909865, + 0.37264417905984554, + 0.3896901222029562, + 0.4128102518032788, + 0.4431555749122357, + 0.4817105031390125, + 0.5292604304673294, + 0.5863640492576344, + 0.6533311745680827, + 0.7302067116002803, + 0.816761249061502, + 0.912488596302675, + 1.0166104083404204, + 1.128087864630858, + 1.2456401891829423, + 1.3677696257411585, + 1.4927923166921038, + 1.6188743822085885, + 1.7440723607770952, + 1.866377057089983, + 1.983759751257735, + 2.094219656775966, + 2.1958314754052966, + 2.286791886156236, + 2.3654638232824987, + 2.430417444231578, + 2.4804667618353435, + 2.5147010139226986, + 2.532509965641959, + 2.533602482155214, + 2.5180178685667083, + 2.4861296461064497, + 2.438641614516131, + 2.376576235860586, + 2.3012555600830242, + 2.214275093001759, + 2.1174711786841303, + 2.0128826260223245, + 1.9027074499898178, + 1.7892557180091042, + 1.6748995881470579, + 1.5620216960881002, + 1.4529630902671964, + 1.3499719281053482, + 1.2551541306167515, + 1.170427148102783, + 1.0974779172741258, + 1.0377259916924053, + 0.9922927052779145, + 0.9619770857542633, + 0.9472390747642745, + 0.948190437888085, + 0.9645935651443849, + 0.9958681752024663, + 1.0411057490333726, + 1.0990913356417007, + 1.1683321982935777, + 1.2470926085196223, + 1.333433951028555, + 1.4252591790026932, + 1.5203605590404754, + 1.616469570664939, + 1.7113077785958777, + 1.802637477971543, + 1.8883109237836075, + 1.966316995619924, + 2.0348242163541004, + 2.0922191369578576, + 2.13713921678651, + 2.168499466566603, + 2.1855122764605426, + 2.1877000201412042, + 2.1749002036012097, + 2.147263110050246, + 2.105242075211668, + 2.0495767061113477, + 1.981269526664301, + 1.901556690836943, + 1.811873545048187, + 1.7138159423437276, + 1.6090983088107664, + 1.4995095353472596, + 1.3868678135443595, + 1.2729755520424275, + 1.159575498937526, + 1.048309157011427, + 0.9406785127953554, + 0.838012009485842, + 0.741435579866168, + 0.6518494215693965, + 0.569911046662036, + 0.4960249744501207, + 0.43033926474143885, + 0.3727489128752397, + 0.322905952089486, + 0.28023593765798877, + 0.24396032499582668, + 0.21312410467106915, + 0.18662792471216044, + 0.16326381807693008, + 0.1417535634569743, + 0.12078864295914933, + 0.09907072223053465, + 0.07535156819879693, + 0.048471337016064535, + 0.017394209550566687, + -0.018759577292287256, + -0.060686159836393506, + -0.10887567667140303, + -0.16359570045599578, + -0.22488092380803848, + -0.2925293872836226, + -0.3661053666313944, + -0.444948862529373, + -0.5281914632837754, + -0.6147781838789462, + -0.7034947275610818, + -0.792999472816529, + -0.8818593628226966, + -0.9685887694224993, + -1.0516903220991682, + -1.129696636418114, + -1.2012118474264977, + -1.2649518523521972, + -1.3197821937166203, + -1.3647525680636563, + -1.3991270256167783, + -1.422409030359345, + -1.4343606757335328, + -1.4350154952712644, + -1.4246844664383183, + -1.403954975844263, + -1.3736826905183568, + -1.3349764587720074, + -1.2891765407916957, + -1.2378266391080397, + -1.1826403581970524, + -1.1254628666810196, + -1.0682286612628547, + -1.012916435456618, + -0.9615021357086698, + -0.915911340579359, + -0.8779721238670313, + -0.8493695591857597, + -0.8316029915432974, + -0.825947141602961, + -0.8334180219409579, + -0.8547445337764124, + -0.8903464800112822, + -0.9403195791719776, + -1.0044278986597757, + -1.082103948634785, + -1.1724564941962423, + -1.2742859577677252, + -1.3861071002969643, + -1.5061784935297962, + -1.6325381305469744, + -1.763044372020153, + -1.8954212949373046, + -2.027307402094149, + -2.156306567129229, + -2.2800400333715944, + -2.3961982566844755, + -2.502591383545141, + -2.5971971858045326, + -2.6782053322110633, + -2.7440569624548923, + -2.793478640122645, + -2.8255098938678582, + -2.8395237080716673, + -2.835239491598667, + -2.81272823187432, + -2.772409727078032, + -2.7150419772455034, + -2.6417030009334987, + -2.553765523302136, + -2.452865149662798, + -2.340862791644401, + -2.2198022474413355, + -2.0918639498805467, + -1.9593159835834446, + -1.8244635332121577, + -1.6895979572487687, + -1.5569466852267166, + -1.428625110793619, + -1.3065915991244965, + -1.192606646408767, + -1.0881971234469183, + -0.9946264074674734, + -0.9128710593052671, + -0.8436045407263643, + -0.7871882929723207, + -0.7436703168279142, + -0.7127912111579736, + -0.693997445430958, + -0.6864614667129061, + -0.6891080772700311, + -0.7006463692833328, + -0.7196063719022209, + -0.7443794561317282, + -0.7732614575033676, + -0.8044974171616429, + -0.8363268102886781, + -0.8670281273823498, + -0.8949616987871462, + -0.9186097053360117, + -0.936612396596026, + -0.9477996409707246, + -0.9512170561514762, + -0.9461461109520092, + -0.9321177467768152, + -0.908919234878937, + -0.8765941599089955, + -0.8354355966457746, + -0.7859727207861756, + -0.7289512618841721, + -0.6653083627660906, + -0.5961425510971023, + -0.5226796516944165, + -0.44623556960682564, + -0.3681769513827293, + -0.2898807834110207, + -0.21269401047665493, + -0.137894254146841, + -0.06665267941550491, + -5.967853287909973e-16 + ], + [ + 0, + 0.05933748657657987, + 0.11232997621343613, + 0.1586425793477552, + 0.19817438564987142, + 0.23106192658269287, + 0.25767595320446324, + 0.2786115987134404, + 0.2946721683452041, + 0.3068469663457403, + 0.3162837266086895, + 0.324256356191014, + 0.33212882567102453, + 0.3413161439962478, + 0.3532434354230707, + 0.3693041903066077, + 0.3908187884354288, + 0.4189943925817963, + 0.4548872809158403, + 0.49936863057694647, + 0.5530946823603512, + 0.6164821101687366, + 0.6896892912096598, + 0.7726040270425937, + 0.8648381051090845, + 0.9657289193037191, + 1.074348190723387, + 1.1895176503967155, + 1.3098313690307202, + 1.433684249049775, + 1.5593060357100221, + 1.6848000608461176, + 1.808185808471204, + 1.9274442891678676, + 2.0405651325984757, + 2.145594256541829, + 2.24068094798471, + 2.3241231976244285, + 2.394410163623842, + 2.4502607028453185, + 2.4906569966238843, + 2.5148724113138714, + 2.522492868642813, + 2.5134311540763203, + 2.48793375922299, + 2.44658003270512, + 2.3902735985364405, + 2.3202261873686725, + 2.237934209430566, + 2.1451485740853693, + 2.043838425348027, + 1.936149611385708, + 1.8243588353085742, + 1.7108245412486303, + 1.5979356711791302, + 1.488059482119009, + 1.383489638935367, + 1.2863957942426771, + 1.19877583395749, + 1.1224119056758446, + 1.058831258668174, + 1.0092728110666092, + 0.9746602244933381, + 0.9555821122308702, + 0.952279837810218, + 0.9646431807058492, + 0.9922139590589375, + 1.0341975105455423, + 1.089481746254691, + 1.1566633132695876, + 1.2340802339036663, + 1.3198502373003211, + 1.411913866045711, + 1.5080813297805697, + 1.6060819921895888, + 1.703615319238969, + 1.798402086501131, + 1.8882346425260148, + 1.9710250534523817, + 2.0448500106445, + 2.107991466641636, + 2.1589720730106943, + 2.196584624082898, + 2.219914859781106, + 2.2283571450952193, + 2.221622719164814, + 2.199740389040986, + 2.163049727528349, + 2.1121870165118852, + 2.0480643523786406, + 1.9718424942547124, + 1.8848981847816304, + 1.7887868034233319, + 1.6852013206682175, + 1.5759286053620107, + 1.4628041947823243, + 1.3476666666118922, + 1.2323127530464697, + 1.1184543099554094, + 1.007678199074497, + 0.9014100601139274, + 0.800882844519354, + 0.7071108561364465, + 0.6208698994305779, + 0.5426839768805558, + 0.472818807728881, + 0.4112822647131667, + 0.3578316481512052, + 0.3119875422676579, + 0.2730538313174667, + 0.24014329707792081, + 0.21220807855422705, + 0.18807415279022557, + 0.16647889553820466, + 0.1461107047090581, + 0.1256496198721653, + 0.10380784881884614, + 0.07936911786919816, + 0.05122579601183064, + 0.018412803243403407, + -0.019862600931990562, + -0.06419594416334509, + -0.11496624931620443, + -0.1723228440314362, + -0.23617863235953448, + -0.30621002022623584, + -0.3818635126327291, + -0.4623688260253765, + -0.5467581886149375, + -0.6338913389190965, + -0.7224855825776948, + -0.8111501333737126, + -0.8984238498090971, + -0.9828153864686412, + -1.0628447121305649, + -1.137084905900637, + -1.2042031296419415, + -1.2629996900351876, + -1.3124441464201966, + -1.3517074901257082, + -1.3801895156068307, + -1.3975406210604042, + -1.4036774133868923, + -1.3987916460189294, + -1.3833521844280625, + -1.3580998689154393, + -1.3240353232303097, + -1.2823999361710872, + -1.234650417133733, + -1.1824274912186945, + -1.1275194508457622, + -1.0718214150341046, + -1.0172912611780958, + -0.9659032843874719, + -0.9196007039379701, + -0.8802481734059469, + -0.8495854596250663, + -0.8291834353968931, + -0.8204034823139705, + -0.8243613242218204, + -0.8418962105402485, + -0.8735462443034943, + -0.9195305053571322, + -0.9797384581630468, + -1.0537269600238008, + -1.1407250034756695, + -1.2396461405624934, + -1.3491083512427477, + -1.467460937846778, + -1.5928178567172593, + -1.7230967411337184, + -1.8560627302092907, + -1.9893761000949606, + -2.1206425994615654, + -2.247465323194348, + -2.367496918228897, + -2.4784909044930235, + -2.578350912299387, + -2.6651766848412346, + -2.7373057695526772, + -2.793349923198177, + -2.8322253802080413, + -2.8531762789561332, + -2.8557907028565754, + -2.840008968396693, + -2.8061239762618784, + -2.754773630068566, + -2.6869255153230895, + -2.60385421449424, + -2.5071118080732817, + -2.3984922719752553, + -2.27999062472031, + -2.153757800064899, + -2.0220523191844255, + -1.8871899087817925, + -1.751492255896183, + -1.617236105682622, + -1.4866038947066078, + -1.3616370697475622, + -1.2441931718352435, + -1.1359076690389895, + -1.0381614018086254, + -0.9520543644217809, + -0.8783863888158325, + -0.8176451266788132, + -0.7700015463623926, + -0.7353129773924659, + -0.7131335516212017, + -0.7027317109098173, + -0.7031142810526174, + -0.7130564546165143, + -0.7311368853093962, + -0.7557769768091547, + -0.7852833525745929, + -0.8178924223278384, + -0.8518159173142917, + -0.8852862510983645, + -0.9166005758265241, + -0.9441624451585734, + -0.9665200633103735, + -0.9824001930751248, + -0.9907369118796211, + -0.9906945409095723, + -0.9816842246381535, + -0.9633738028488892, + -0.9356907902885226, + -0.8988184560490068, + -0.8531851712019481, + -0.7994473646567082, + -0.7384665893806959, + -0.671281349941942, + -0.5990744740863202, + -0.5231369224548686, + -0.4448290188061494, + -0.3655401460451612, + -0.2866479894235742, + -0.20947841659273925, + -0.13526706458703888, + -0.0651236568193224, + -5.808141763773391e-16 + ], + [ + 0, + 0.05736744614557171, + 0.1082119612821843, + 0.1523170313423562, + 0.18970348642891552, + 0.22062925037096734, + 0.24558240085144004, + 0.26526770965157204, + 0.2805870033634145, + 0.29261384721444894, + 0.30256320430118805, + 0.3117568557292656, + 0.3215854805053922, + 0.33346838461786776, + 0.3488119342431662, + 0.36896778672124136, + 0.39519202381847884, + 0.42860627450981176, + 0.47016186943311616, + 0.5206079973710784, + 0.580464737342507, + 0.6500017205106471, + 0.7292230370857323, + 0.8178588481564714, + 0.9153639947868372, + 1.0209237209341764, + 1.1334664471691411, + 1.2516833532986242, + 1.3740543542930392, + 1.498879889763135, + 1.624317796754555, + 1.7484244026344926, + 1.869198862710934, + 1.984629678816547, + 2.092742272687774, + 2.1916464532157574, + 2.2795826104965657, + 2.3549654923135717, + 2.4164244697792046, + 2.4628392771766063, + 2.4933703147272097, + 2.5074827295893876, + 2.5049636368160377, + 2.4859320047186495, + 2.450840904145735, + 2.4004720043159504, + 2.3359223845749733, + 2.2585839171977318, + 2.17011565657716, + 2.0724098403994273, + 1.967552264513107, + 1.8577779313078753, + 1.7454229881148289, + 1.6328740645356274, + 1.5225161834033645, + 1.416680457627807, + 1.3175927935248217, + 1.2273248001338584, + 1.1477480539687264, + 1.0804927908164312, + 1.0269119924679548, + 0.9880517091411705, + 0.9646283109196265, + 0.9570131973613665, + 0.9652253175178465, + 0.9889316672457912, + 1.0274557414018644, + 1.079793729884251, + 1.1446380631116593, + 1.2204077388636096, + 1.305284702660314, + 1.3972554119073155, + 1.4941565933010137, + 1.593724106395957, + 1.6936437560882884, + 1.7916028547363776, + 1.8853413216931583, + 1.9727011244228467, + 2.051672910657261, + 2.1204387540425125, + 2.1774100345884286, + 2.2212595974785554, + 2.250947476377281, + 2.265739626736477, + 2.265219286804242, + 2.249290764812754, + 2.2181756357066984, + 2.1724015152131364, + 2.112783758512364, + 2.0404006008452042, + 1.9565624139238644, + 1.8627758911840673, + 1.760704093346432, + 1.6521233805872113, + 1.5388783265853245, + 1.4228357511942327, + 1.3058390215482132, + 1.1896637558266807, + 1.0759760201523778, + 0.9662940383744023, + 0.861954338638635, + 0.7640831421509405, + 0.6735736614272081, + 0.591069821115398, + 0.5169567480799597, + 0.45135820306623975, + 0.39414094831077534, + 0.3449258684127794, + 0.3031054900823385, + 0.26786738433912183, + 0.2382227864102111, + 0.21303963767474263, + 0.19107914379142055, + 0.17103485636372315, + 0.15157322429559092, + 0.1313745268710768, + 0.10917309437580973, + 0.08379574388434524, + 0.054197407078702, + 0.01949300236249427, + -0.02101529684281611, + -0.06781612443177505, + -0.12117290149995509, + -0.1811141657766376, + -0.24743051657879664, + -0.3196782683535741, + -0.3971897304749871, + -0.47908985751691285, + -0.5643188471434718, + -0.651660106286532, + -0.7397728644006585, + -0.8272285889158066, + -0.9125502557097478, + -0.994253449122761, + -1.0708882137623463, + -1.1410805554694163, + -1.2035724920256023, + -1.2572595854551742, + -1.3012249463904064, + -1.3347687855136758, + -1.3574326954978075, + -1.3690179764701202, + -1.3695974656208196, + -1.359520493501548, + -1.3394107617871702, + -1.3101571155098357, + -1.2728973625657245, + -1.228995470140675, + -1.1800126371629927, + -1.1276728997075205, + -1.0738240684618872, + -1.0203949203223113, + -0.9693496667812745, + -0.9226407974212777, + -0.8821614455703594, + -0.8496984437031234, + -0.826887227879941, + -0.815169713515228, + -0.8157561998730745, + -0.8295922694182467, + -0.8573315326718741, + -0.8993149323067442, + -0.9555571651755425, + -1.0257406115597287, + -1.1092169812820072, + -1.2050167008273915, + -1.3118658788048716, + -1.4282105035321064, + -1.5522473507462393, + -1.6819609157567075, + -1.8151655367930923, + -1.9495517485038583, + -2.082735799691032, + -2.212311190023821, + -2.3359010286385176, + -2.451209994509591, + -2.5560746848669202, + -2.6485111736173623, + -2.7267586658664253, + -2.7893182256923996, + -2.8349856701043037, + -2.86287785981402, + -2.8724517737322195, + -2.8635159251607885, + -2.8362338593442127, + -2.7911196599402994, + -2.729025581507836, + -2.6511221116768553, + -2.558870945732629, + -2.453991523558933, + -2.3384219301951648, + -2.214275093001763, + -2.083791317419504, + -1.9492882869300283, + -1.8131097090808899, + -1.6775738170069563, + -1.5449229341420514, + -1.4172752788727412, + -1.2965801265584136, + -1.184577360142125, + -1.0827623296767894, + -0.9923568082652497, + -0.9142866804708748, + -0.8491668329571324, + -0.7972935400802179, + -0.7586444537638128, + -0.7328861217530376, + -0.7193887758351263, + -0.7172479563099655, + -0.7253123751897008, + -0.7422172723042071, + -0.766422389297866, + -0.7962535795507597, + -0.8299469899144784, + -0.8656946947685907, + -0.9016906355603883, + -0.9361757202696094, + -0.9674809670122274, + -0.9940676334251275, + -1.0145633570323283, + -1.0277934393128363, + -1.0328065349061264, + -1.0288941540184824, + -1.0156035469054794, + -0.9927437102305094, + -0.9603844318195666, + -0.9188484683946846, + -0.8686971257939036, + -0.8107096785819783, + -0.7458572216275692, + -0.6752716862737933, + -0.6002108746626742, + -0.5220204645778412, + -0.4420940113909769, + -0.36183202150431315, + -0.2826011919081815, + -0.20569490264796825, + -0.1322960133541784, + -0.06344295246763862, + -5.636419149508749e-16 + ], + [ + 0, + 0.05531225383177577, + 0.10397869763732347, + 0.14590368647568489, + 0.18123024707205315, + 0.21033608829665051, + 0.23382297566984217, + 0.2524997387780711, + 0.26735934748171697, + 0.2795506488215669, + 0.29034549761442335, + 0.3011021362734098, + 0.3132257802616842, + 0.32812744219935824, + 0.3471820780103343, + 0.3716871612945874, + 0.4028227867101339, + 0.4416143696237754, + 0.4888989484240168, + 0.5452960091547773, + 0.6111836416481264, + 0.6866807048314345, + 0.771635529614405, + 0.8656215244314441, + 0.9679398751910492, + 1.077629352391286, + 1.1934830579744775, + 1.3140717676299598, + 1.437773355152714, + 1.562807628385535, + 1.6872757651802337, + 1.8092034162866333, + 1.9265864432148632, + 2.037438185457801, + 2.139837104925927, + 2.231973637286584, + 2.3121950906613176, + 2.3790474716501695, + 2.431313186038192, + 2.468043655222234, + 2.488586007145576, + 2.4926031395143293, + 2.480086609931503, + 2.451361978512398, + 2.40708640937371, + 2.3482385237008856, + 2.2761006843329734, + 2.1922340753692495, + 2.0984471156874296, + 1.9967579081533673, + 1.8893515726808847, + 1.7785334375524535, + 1.6666791664100604, + 1.5561829755119574, + 1.4494051452957188, + 1.348620050741447, + 1.2559659259502414, + 1.1733975399257095, + 1.1026428936729866, + 1.0451649550110942, + 1.0021293291893234, + 0.9743786233695954, + 0.96241410467917, + 0.9663850786973914, + 0.9860862321160323, + 1.0209629943575713, + 1.0701247827435807, + 1.13236580900022, + 1.2061929460086886, + 1.2898599870991894, + 1.3814074798875204, + 1.4787071863031447, + 1.579510113203148, + 1.6814969763871415, + 1.7823299068709488, + 1.8797041832099137, + 1.9713987780447186, + 2.0553245407083662, + 2.1295688998009688, + 2.192436058529203, + 2.2424817690865653, + 2.27854190758253, + 2.299754224649389, + 2.3055728150535053, + 2.295775028250272, + 2.270460726438539, + 2.230043982740128, + 2.1752374950770674, + 2.1070301666529567, + 2.026658467373301, + 1.9355723380734873, + 1.835396527475195, + 1.727888357265007, + 1.6148929910516787, + 1.4982973363070797, + 1.3799837335013732, + 1.261784582979071, + 1.1454390278795525, + 1.0325527514824275, + 0.9245618613407987, + 0.8227017226856934, + 0.7279814726634676, + 0.6411647983446485, + 0.5627573988908184, + 0.4930013798996171, + 0.4318766501171322, + 0.37910921189028784, + 0.3341860614237141, + 0.2963762475047816, + 0.2647574820593509, + 0.23824755658192007, + 0.21563969862254817, + 0.19564090509112111, + 0.17691221657164127, + 0.15810985091211982, + 0.13792609618460103, + 0.11512887311108287, + 0.08859891493168477, + 0.0573635774573489, + 0.02062638203050617, + -0.022208492990437072, + -0.07151742368291165, + -0.1274447568362154, + -0.18989677052102377, + -0.2585423472816913, + -0.3328203527642822, + -0.4119535371560676, + -0.4949686059090947, + -0.5807219441936206, + -0.6679303304973216, + -0.7552058425493486, + -0.8410940466799286, + -0.9241144726971654, + -1.0028023126663392, + -1.0757502452714718, + -1.1416492787055783, + -1.1993275245534447, + -1.247785862468074, + -1.28622952946826, + -1.3140947665969662, + -1.3310697770476019, + -1.3371093906892384, + -1.3324429867102712, + -1.3175753949543199, + -1.293280673233343, + -1.2605888380573194, + -1.2207658053077555, + -1.1752869709118494, + -1.1258050251815879, + -1.0741127440426121, + -1.0221016321068654, + -0.9717174030927169, + -0.92491336963795, + -0.8836028748472861, + -0.8496119303770806, + -0.8246332295836538, + -0.810182679057909, + -0.807559538264594, + -0.8178111762317504, + -0.8417033482027703, + -0.8796967664075596, + -0.9319305907356008, + -0.9982133006988324, + -1.0780212336559507, + -1.1705048901362476, + -1.2745029197537143, + -1.3885635152316609, + -1.5109727620292026, + -1.639789321401054, + -1.7728846696091085, + -1.9079879792664316, + -2.0427346138127747, + -2.174717115747151, + -2.3015375057289176, + -2.4208596745978106, + -2.530460644654798, + -2.6282795003674435, + -2.7124628414720044, + -2.781405691983539, + -2.833786904959725, + -2.868598232424835, + -2.885166379508883, + -2.8831675279622426, + -2.8626339927325, + -2.8239528618989347, + -2.7678566604133605, + -2.6954062671709984, + -2.607966498335725, + -2.5071749431157553, + -2.3949047971229582, + -2.2732225792011054, + -2.144341736770839, + -2.0105732394411784, + -1.8742743286085901, + -1.7377966303918422, + -1.6034348496193367, + -1.4733772434965489, + -1.3496590255606147, + -1.234119774811362, + -1.1283658234057907, + -1.0337384715590494, + -0.9512887334184251, + -0.8817591562680501, + -0.8255730814789732, + -0.7828315334428184, + -0.7533177368117507, + -0.7365090772905014, + -0.7315961415350307, + -0.737508301811976, + -0.7529451551169506, + -0.7764129882376615, + -0.8062653231325364, + -0.8407465037999151, + -0.8780372187611846, + -0.916300813944471, + -0.9537292400144283, + -0.9885874962159346, + -1.0192554790393458, + -1.0442662172255617, + -1.0623395728953777, + -1.0724106093757648, + -1.073651966515049, + -1.0654897403625379, + -1.0476125320791507, + -1.0199735065990778, + -0.9827854804501739, + -0.9365092357619155, + -0.8818354293841002, + -0.8196606278977471, + -0.751058147072102, + -0.6772445043174345, + -0.5995424016639793, + -0.5193412420563512, + -0.4380562411826668, + -0.35708722920301006, + -0.2777782408348029, + -0.20137896823098417, + -0.129009099596472, + -0.061626488865485725, + -5.454322126788771e-16 + ], + [ + 0, + 0.053191662542790466, + 0.0996711972958141, + 0.13946524333197263, + 0.17283837484229878, + 0.2002853801639731, + 0.22251701634698465, + 0.24043960587036392, + 0.25512900382722326, + 0.2677996122544059, + 0.27976924950894216, + 0.29242079334033594, + 0.30716160373860574, + 0.3253817935012099, + 0.34841244914699687, + 0.3774849113837716, + 0.4136922025855359, + 0.4579536391455731, + 0.5109835903324623, + 0.5732652442493674, + 0.645030118169605, + 0.7262439079446491, + 0.8165991128937815, + 0.9155147025275626, + 1.022142913872587, + 1.1353830874922268, + 1.2539022710630794, + 1.3761621460693485, + 1.5004516701781514, + 1.6249246792712908, + 1.7476415626961646, + 1.8666140163785687, + 1.9798517938033784, + 2.0854103167077804, + 2.181437977184144, + 2.2662219616017216, + 2.3382314544586262, + 2.3961571363796423, + 2.4389459736869967, + 2.465830405321322, + 2.4763511637828364, + 2.4703731170389247, + 2.4480936843584065, + 2.410043556743099, + 2.3570796376948957, + 2.2903703079525735, + 2.2113733039497623, + 2.1218066795118524, + 2.0236134893017645, + 1.9189209865766006, + 1.8099952631242437, + 1.699192372461398, + 1.588907065680378, + 1.4815203305280005, + 1.37934695684479, + 1.284584354547509, + 1.1992638237852897, + 1.1252054213485507, + 1.063977484180533, + 1.0168617619331155, + 0.9848249785510937, + 0.9684974910581519, + 0.9681595457356742, + 0.9837354518125492, + 1.0147958049961838, + 1.0605677022375013, + 1.1199526996776972, + 1.1915520823765415, + 1.2736988416246466, + 1.3644955975894402, + 1.4618575655662827, + 1.5635595465761267, + 1.6672858303015161, + 1.770681832607694, + 1.8714062527144908, + 1.9671825273255275, + 2.055848380820102, + 2.135402321379736, + 2.204046011357783, + 2.2602215443287013, + 2.3026427884709157, + 2.330320103075144, + 2.342577898378047, + 2.33906468455397, + 2.3197554392168436, + 2.284946309666576, + 2.235241851761109, + 2.1715351871492174, + 2.0949816302542157, + 2.006966491711061, + 1.909067902147598, + 1.8030156159405166, + 1.6906468460813064, + 1.5738602463768534, + 1.4545691943622163, + 1.3346555366950934, + 1.215924938322581, + 1.1000649279694368, + 0.9886066568013613, + 0.8828912864430766, + 0.7840417994724589, + 0.6929408832134335, + 0.6102153797299574, + 0.5362276253804182, + 0.47107382640790735, + 0.4145894372731949, + 0.3663613303032696, + 0.3257463731988511, + 0.29189586932855016, + 0.26378516857554757, + 0.24024762746647707, + 0.22001198961259305, + 0.2017421738011414, + 0.18407839945454169, + 0.1656785490332565, + 0.14525866500956977, + 0.12163150528886442, + 0.09374213469789096, + 0.06069961000046848, + 0.02180391978854293, + -0.023432534125096702, + -0.07526948370979172, + -0.1337297819890671, + -0.19859707389925563, + -0.2694202192451044, + -0.3455243596427527, + -0.4260283473918554, + -0.509868087359777, + -0.5958251874329739, + -0.6825601728516583, + -0.7686493983690151, + -0.852624692767979, + -0.9330146953791815, + -1.0083867958104018, + -1.0773885673940018, + -1.1387875924619815, + -1.1915086133341883, + -1.2346670060116458, + -1.267597662473274, + -1.2898784799993819, + -1.3013477893116359, + -1.3021152042211446, + -1.2925655401624825, + -1.273355623357995, + -1.2454039920488384, + -1.209873671750362, + -1.1681483833124633, + -1.1218027112466895, + -1.0725669160701912, + -1.0222872143620987, + -0.9728824702784016, + -0.9262983393632418, + -0.8844599771284383, + -0.8492244691778804, + -0.8223341554331172, + -0.8053720077812613, + -0.7997201784455399, + -0.8065227665168647, + -0.8266537540179943, + -0.8606909428897558, + -0.9088965832778191, + -0.9712052248714179, + -1.0472191506576993, + -1.1362115705104612, + -1.2371375649772232, + -1.348652582046428, + -1.4691381061708466, + -1.5967339439052644, + -1.7293764084949697, + -1.86484154062339, + -2.0007923778814836, + -2.1348291844483045, + -2.264541477486846, + -2.3875606397404256, + -2.5016118899554742, + -2.6045643945376793, + -2.6944783450220413, + -2.769647895537108, + -2.828638950803803, + -2.87032091600882, + -2.8938916622095188, + -2.898895121311995, + -2.885231099223468, + -2.853157080272843, + -2.803281985935037, + -2.73655204166732, + -2.6542290926321197, + -2.55786188769714, + -2.4492510170335637, + -2.3304083378515195, + -2.2035118517069714, + -2.0708571022721274, + -1.934806241947268, + -1.7977359673077857, + -1.661985545913143, + -1.529806149957372, + -1.4033126758400638, + -1.2844391639303836, + -1.1748988412275516, + -1.0761496935868313, + -0.9893663365752722, + -0.9154187982656098, + -0.8548586572310545, + -0.807912798871709, + -0.7744848674305443, + -0.7541643042181914, + -0.7462426792533562, + -0.749736848235005, + -0.7634183037818213, + -0.7858479431787432, + -0.8154153480232278, + -0.8503815672304681, + -0.8889243163280075, + -0.9291844547024293, + -0.9693125796302311, + -1.0075145820005977, + -1.0420950433686613, + -1.07149741640329, + -1.0943400192657209, + -1.1094469866821934, + -1.1158734535776307, + -1.1129243977254868, + -1.1001667321212658, + -1.07743441154964, + -1.0448264967053689, + -1.0026982987444923, + -0.9516459027755497, + -0.8924845361478718, + -0.8262214022672819, + -0.7540237392011391, + -0.6771829810721113, + -0.5970759962335516, + -0.5151244470938618, + -0.432753360471617, + -0.3513500134537662, + -0.2722242275352027, + -0.1965711236900657, + -0.12543732401688423, + -0.05969149344006156, + -5.263588573108712e-16 + ], + [ + 0, + 0.051026086179067516, + 0.09533127189854657, + 0.13306479622958847, + 0.1646110254126837, + 0.19057804190484726, + 0.21177987792037148, + 0.2292128552935833, + 0.24402664847096792, + 0.2574908267859053, + 0.27095775233022495, + 0.2858228076418679, + 0.30348300056422406, + 0.3252950401087145, + 0.35253399574559297, + 0.38635364273673106, + 0.42774955810025805, + 0.4775259664619601, + 0.5362672439917975, + 0.6043148740838916, + 0.6817505132464556, + 0.7683856731791415, + 0.8637583590238547, + 0.9671368284216467, + 1.0775304556757017, + 1.1937075045252343, + 1.3142194363145259, + 1.4374312121405517, + 1.5615568921232421, + 1.6846996961970115, + 1.8048955722952638, + 1.9201592225197237, + 2.0285314683096862, + 2.128126793574673, + 2.217179891368554, + 2.2940900553955252, + 2.3574623021576975, + 2.406144181874416, + 2.43925733472685, + 2.456222971159084, + 2.4567805979569566, + 2.4409994721645796, + 2.409282438686061, + 2.3623619904160105, + 2.301288577470811, + 2.2274113799513255, + 2.1423519420430264, + 2.047971239639577, + 1.946330914762469, + 1.8396495538642894, + 1.7302550100866372, + 1.620533868643028, + 1.512879227241468, + 1.4096380080250153, + 1.3130590327541092, + 1.2252430784637787, + 1.1480960869119368, + 1.0832866288242406, + 1.0322086249654443, + 0.995950202810438, + 0.9752694230301464, + 0.9705774476514668, + 0.9819295455363903, + 1.0090241450343012, + 1.0512099528085428, + 1.1075009665635411, + 1.1765990223515688, + 1.256923338863982, + 1.346646355939108, + 1.4437350164549472, + 1.5459965134040417, + 1.6511274203475212, + 1.7567650461065718, + 1.860539805319344, + 1.9601273765253742, + 2.053299429175332, + 2.137971740110631, + 2.21224858760219, + 2.274462405274335, + 2.323207796806952, + 2.357369152254322, + 2.3761412646672646, + 2.379042517548892, + 2.365920395267851, + 2.336949255418988, + 2.2926204896617284, + 2.2337253831748654, + 2.16133115804362, + 2.0767508483583814, + 1.9815078005955176, + 1.8772957184302237, + 1.7659352734684484, + 1.6493283800299463, + 1.5294112812596465, + 1.4081076143669806, + 1.2872826142828095, + 1.1686995777912876, + 1.0539796452635835, + 0.9445658662006339, + 0.8416924002350695, + 0.746359569982981, + 0.6593153296179092, + 0.5810435471294387, + 0.5117593231189699, + 0.45141138908922607, + 0.39969144802567175, + 0.3560501441687675, + 0.31971918164212904, + 0.28973895721479337, + 0.2649909347878676, + 0.24423387163423915, + 0.22614291190170194, + 0.20935049374923323, + 0.19248797441726082, + 0.17422686354736447, + 0.15331856946968606, + 0.12863160555817124, + 0.0991852730018447, + 0.06417893066701491, + 0.02301607971290704, + -0.02467737271498437, + -0.0790411535341354, + -0.13997528517559277, + -0.20714151282320967, + -0.2799714648476173, + -0.357681337643862, + -0.439292725142831, + -0.5236590519293348, + -0.6094969212667695, + -0.6954215591590382, + -0.7799854261969623, + -0.8617189831392702, + -0.9391725361767743, + -1.0109580551843538, + -1.0757898538536932, + -1.132523044586271, + -1.180188732862166, + -1.2180249942366685, + -1.2455027802336454, + -1.2623460246593114, + -1.2685453661498483, + -1.264365062505162, + -1.2503428435691009, + -1.2272826278187936, + -1.1962402089585558, + -1.158502198136312, + -1.1155586804070257, + -1.0690702064016777, + -1.0208298877213906, + -0.9727214936246272, + -0.9266745538237247, + -0.8846175549045782, + -0.848430373884161, + -0.8198971202384796, + -0.8006605565796037, + -0.7921792379638544, + -0.7956884512242041, + -0.8121659500947266, + -0.8423033712628454, + -0.886484083499776, + -0.9447680698936266, + -1.0168842756360663, + -1.1022306748750668, + -1.1998821242148054, + -1.3086058820723019, + -1.4268844869111343, + -1.5529455079426497, + -1.684797513632636, + -1.8202714504284017, + -1.9570664903074353, + -2.0927992943615012, + -2.2250555534392533, + -2.351442608031135, + -2.469641919579183, + -2.5774601650107023, + -2.6728777555839605, + -2.7540936394220474, + -2.819565333013214, + -2.8680432384098467, + -2.8985984371735842, + -2.910643306039312, + -2.903944469072818, + -2.8786277826527384, + -2.835175238505179, + -2.7744138616673553, + -2.697496869995911, + -2.6058775450543314, + -2.5012764364615547, + -2.3856426788799054, + -2.2611103389568474, + -2.129950825371376, + -1.9945224858784372, + -1.8572185787187425, + -1.7204148404605064, + -1.5864178774643158, + -1.4574155836405671, + -1.3354307336530127, + -1.2222788195766658, + -1.119531092283578, + -1.0284836391709318, + -0.9501331804865887, + -0.8851601011497288, + -0.8339190576990435, + -0.7964373152018256, + -0.77242078117691, + -0.7612675174390625, + -0.7620883308289734, + -0.7737338744558554, + -0.7948275364823246, + -0.8238032573841555, + -0.858947302315676, + -0.8984429254539172, + -0.9404168001162286, + -0.9829860535166688, + -1.0243047390145428, + -1.0626086016642573, + -1.0962570441289845, + -1.1237712782013956, + -1.1438677502457029, + -1.1554860541844356, + -1.157810690002012, + -1.1502861854576354, + -1.13262526975104, + -1.1048099659490234, + -1.067085649576329, + -1.0199482993643543, + -0.9641253382572832, + -0.9005506240904615, + -0.8303342958506025, + -0.7547283094509522, + -0.6750886033244877, + -0.592834916220907, + -0.5094093353681428, + -0.42623468126911396, + -0.3446738351893193, + -0.26599108690323436, + -0.19131652427044338, + -0.12161440416111167, + -0.05765633825407502, + -5.066041218302564e-16 + ], + [ + 0, + 0.04883640464639346, + 0.09100113029620994, + 0.1267652235064782, + 0.1566299907203431, + 0.1813119724631828, + 0.20172178727088247, + 0.21893739900955825, + 0.2341725081060094, + 0.24874089627461113, + 0.2640176623062399, + 0.2813983706141156, + 0.3022571923445965, + 0.32790514944556454, + 0.3595495743201091, + 0.39825587147028196, + 0.44491261346206784, + 0.5002009229268944, + 0.5645689871345669, + 0.6382124245252689, + 0.7210610766279408, + 0.8127726376502432, + 0.9127333617201436, + 1.020065908597072, + 1.1336442071377826, + 1.2521150364532914, + 1.3739258520378046, + 1.4973582225401572, + 1.6205660963677093, + 1.7416179896782704, + 1.8585420817814637, + 1.969373123247627, + 2.0722000082082235, + 2.1652128368603467, + 2.246748297790536, + 2.315332232420521, + 2.369718304937488, + 2.40892178908638, + 2.432247596081962, + 2.4393118029334797, + 2.4300560943996414, + 2.404754700866722, + 2.3640135945456286, + 2.308761893111475, + 2.2402356086858926, + 2.1599540662524768, + 2.0696894946192077, + 1.971430460486173, + 1.8673399679076608, + 1.7597091776999485, + 1.6509078108575894, + 1.5433323840744277, + 1.4393534819151275, + 1.3412632976184191, + 1.2512246722138218, + 1.1712228296084417, + 1.1030209442870211, + 1.0481205897162196, + 1.007728001578576, + 0.9827269533325868, + 0.9736588856093086, + 0.9807107593954942, + 1.0037109199832701, + 1.0421330687326817, + 1.0951082474125216, + 1.161444549931101, + 1.239654093258887, + 1.3279866077253613, + 1.4244688508084715, + 1.5269489118105408, + 1.6331443607362297, + 1.74069310600817, + 1.8472057645001883, + 1.950318315188174, + 2.0477438052537953, + 2.1373219047368845, + 2.217065162100572, + 2.285200896919495, + 2.3402077752236474, + 2.3808462451015453, + 2.4061821617080152, + 2.415603098079981, + 2.4088270170062414, + 2.3859031652139415, + 2.3472052397467187, + 2.293417062984088, + 2.225511182714144, + 2.1447209826206324, + 2.05250704235984, + 1.9505186213443626, + 1.8405512531554673, + 1.724501525463869, + 1.6043201813614023, + 1.4819647106759535, + 1.3593526034470704, + 1.2383164122909252, + 1.1205617166112687, + 1.007629000951348, + 0.9008603543276983, + 0.8013717698501447, + 0.7100316775663917, + 0.6274461819888602, + 0.5539513032499465, + 0.4896123416391501, + 0.43423030390949263, + 0.3873551507541107, + 0.3483054527311461, + 0.3161938809601032, + 0.28995781314254493, + 0.2683942085033403, + 0.2501978002574374, + 0.23400157377695208, + 0.2184184447397819, + 0.20208302549049456, + 0.18369237024231802, + 0.1620446204853348, + 0.13607453021791993, + 0.10488493487197019, + 0.06777333589075996, + 0.02425290207601944, + -0.02593266424596567, + -0.08280078722070748, + -0.14612842369389004, + -0.21545725922773193, + -0.2901055598283572, + -0.36918637106538366, + -0.45163158983973267, + -0.5362212796768528, + -0.6216174620178974, + -0.7064014970779339, + -0.7891140714763454, + -0.8682967384925135, + -0.9425339123046647, + -1.0104942011018063, + -1.070969975984098, + -1.1229141128359088, + -1.1654729119071006, + -1.1980142930238324, + -1.220150480875524, + -1.2317545318047516, + -1.232970207558869, + -1.2242148687088792, + -1.2061752367272294, + -1.17979605463185, + -1.1462618571141026, + -1.1069722376273783, + -1.063511167576186, + -1.0176110772815712, + -0.9711125458942829, + -0.9259205643865814, + -0.883958429184843, + -0.8471203914962205, + -0.817224227161956, + -0.7959649028515554, + -0.7848704962236299, + -0.7852614806724865, + -0.7982144105225281, + -0.8245309417843053, + -0.864712999253873, + -0.9189447558180064, + -0.9870819278349517, + -1.0686487153367346, + -1.1628425318206, + -1.2685464800674489, + -1.3843493423637194, + -1.5085726703325004, + -1.6393043858099745, + -1.7744381441207997, + -1.9117175686687864, + -2.0487843444956195, + -2.183229061385369, + -2.312643626629822, + -2.434674025492891, + -2.5470721948007213, + -2.6477457922938594, + -2.734804691035563, + -2.806603103178396, + -2.861776338957038, + -2.8992713324537323, + -2.918370212436308, + -2.9187063608418184, + -2.9002725792855704, + -2.863421170997084, + -2.808855937276099, + -2.7376162792633165, + -2.651053782872273, + -2.55080184258507, + -2.438739044156299, + -2.316947173110111, + -2.187664841697752, + -2.0532378286694946, + -1.9160673013579648, + -1.7785571363761303, + -1.643061572603736, + -1.5118344176939829, + -1.386980987434337, + -1.2704138870168982, + -1.1638136463871351, + -1.0685951007668864, + -0.9858802652003071, + -0.9164782920774566, + -0.8608729270038732, + -0.8192176953915667, + -0.7913388642545154, + -0.7767460355209467, + -0.7746500433433057, + -0.7839876528966924, + -0.8034523962820497, + -0.8315307363334533, + -0.8665426248813337, + -0.9066854213414312, + -0.9500800627894505, + -0.9948183297021036, + -1.0390100333643717, + -1.0808289619117617, + -1.118556461723492, + -1.1506215983214503, + -1.1756369342901807, + -1.1924290786035188, + -1.2000632991327058, + -1.1978616445245285, + -1.1854141891639927, + -1.1625831913450313, + -1.1295001356213972, + -1.0865558110540519, + -1.034383753178372, + -0.973837544576135, + -0.9059626227804097, + -0.8319633810309865, + -0.7531664637332656, + -0.6709812514714708, + -0.5868585977953019, + -0.5022489200915222, + -0.4185607587094183, + -0.3371209018834903, + -0.25913712935616057, + -0.18566455611949315, + -0.11757646121444382, + -0.055540367522827, + -4.863570375660247e-16 + ], + [ + 0, + 0.04664376333502752, + 0.08672297034970054, + 0.12062857519358562, + 0.14897489675885242, + 0.17258108630306981, + 0.19244674463235095, + 0.2097223300972825, + 0.22567513607050219, + 0.2416517341782522, + 0.2590378743447374, + 0.27921690224647194, + 0.303527797266725, + 0.33322394836982483, + 0.3694337710713956, + 0.4131242261721469, + 0.46506823116962126, + 0.5258168599708337, + 0.5956771080499654, + 0.6746958614663163, + 0.7626505526290985, + 0.8590468172454175, + 0.9631232897251486, + 1.0738634928769508, + 1.1900145965645754, + 1.310112643655631, + 1.4325136745280778, + 1.5554300278228796, + 1.6769709589360025, + 1.795186602395857, + 1.9081142127269604, + 2.013825553024255, + 2.1104742629753726, + 2.196342029500413, + 2.2698824038431407, + 2.329761158431163, + 2.3748921539954972, + 2.404467790482532, + 2.417983241738115, + 2.4152538207435774, + 2.396424985775011, + 2.3619746742553187, + 2.3127078359630864, + 2.2497432261242865, + 2.1744927071060545, + 2.08863349032734, + 1.9940739230923674, + 1.8929135840658087, + 1.7873985921090298, + 1.679873152687124, + 1.5727284610624392, + 1.4683501496355666, + 1.369065506359001, + 1.2770917011120033, + 1.1944862369924985, + 1.1231007940917737, + 1.0645395556317352, + 1.0201230022189427, + 0.9908580319106176, + 0.9774151148895623, + 0.9801130254140323, + 0.9989115143757457, + 1.033412097619368, + 1.0828669427232807, + 1.1461956448923252, + 1.222009495637128, + 1.3086426705554288, + 1.4041895990964042, + 1.5065476336442403, + 1.6134640111287708, + 1.722586000657333, + 1.8315130577640943, + 1.937849761531164, + 2.039258296090822, + 2.133509253183949, + 2.2185295771068994, + 2.2924465463862504, + 2.353626786041737, + 2.4007094278498284, + 2.43263268053285, + 2.4486532336929807, + 2.4483580945850494, + 2.431668641154834, + 2.398836863622458, + 2.350433955622949, + 2.2873315998998054, + 2.210676468279761, + 2.121858616873121, + 2.0224746012210426, + 1.9142862589653886, + 1.7991762065886163, + 1.6791011694982703, + 1.556044309504876, + 1.4319677295514193, + 1.3087663221044759, + 1.1882240853458341, + 1.0719739613561545, + 0.961462154692141, + 0.8579177705957132, + 0.7623284725841543, + 0.6754227028993662, + 0.5976588401971987, + 0.5292214912011639, + 0.4700249312990267, + 0.4197235277895694, + 0.3777288032326261, + 0.343232629526242, + 0.3152358900943156, + 0.2925818117325789, + 0.2739930526033959, + 0.25811154143773346, + 0.24353999744560106, + 0.22888402235158026, + 0.21279364626502137, + 0.19400322795641747, + 0.17136865701532336, + 0.143900879079707, + 0.11079486394707154, + 0.07145325737455632, + 0.025504097657460586, + -0.027187865931415776, + -0.08651654802395954, + -0.15213671532821066, + -0.22347292981292932, + -0.29973501188185303, + -0.37993961775194796, + -0.46293736481047437, + -0.5474447926880194, + -0.6320803198663533, + -0.7154032491037321, + -0.7959547925325318, + -0.8723000310855166, + -0.9430696944000007, + -1.0070006473000614, + -1.062973997416614, + -1.110049794807527, + -1.1474973772173143, + -1.1748205218334302, + -1.1917766934015035, + -1.1983898261511379, + -1.194956239481576, + -1.182043460706159, + -1.1604819080202982, + -1.1313495687321613, + -1.0959499871115828, + -1.0557840484591403, + -1.0125162068289428, + -0.967935949187442, + -0.9239154149652927, + -0.882364193740278, + -0.8451824025073594, + -0.8142131955969877, + -0.7911958834151998, + -0.7777208301250816, + -0.7751872652189656, + -0.7847650804179597, + -0.8073615929592867, + -0.8435941412416003, + -0.8937692417605304, + -0.95786888059776, + -1.0355443422120019, + -1.126117797079567, + -1.2285916822792171, + -1.341665720007507, + -1.4637612328934348, + -1.593052236437355, + -1.7275026223325918, + -1.8649085959553515, + -2.002945400657856, + -2.1392172539160854, + -2.2713093385515686, + -2.396840638220706, + -2.5135163815194677, + -2.619178864046096, + -2.7118554525268497, + -2.78980263883845, + -2.851545102941364, + -2.895908860182821, + -2.9220477073287547, + -2.9294623396788912, + -2.918011684878448, + -2.8879161833577913, + -2.839752936229837, + -2.7744428343141214, + -2.6932299720483392, + -2.5976538327725316, + -2.4895149027882524, + -2.3708345265557638, + -2.243809950639759, + -2.110765616274726, + -1.974101846988073, + -1.8362421365142994, + -1.6995802718629416, + -1.5664285261870998, + -1.438968126090238, + -1.3192031389911427, + -1.2089188396322903, + -1.1096455029325094, + -1.0226284359358397, + -0.9488049079298807, + -0.888788468700705, + -0.8428609645318593, + -0.8109723743869274, + -0.7927483993410488, + -0.7875055513960868, + -0.7942733079063599, + -0.8118227293542132, + -0.8387007852537193, + -0.8732694992413934, + -0.9137489131662779, + -0.9582627838873405, + -1.0048858675654129, + -1.0516916158638367, + -1.0967991073009034, + -1.1384180649566746, + -1.1748908680340597, + -1.2047305479132548, + -1.226653867162246, + -1.23960870970687, + -1.2427951587154455, + -1.235679801953989, + -1.2180029782938178, + -1.189778859322608, + -1.1512884420905625, + -1.1030657083485023, + -1.045877377715164, + -0.9806968427472479, + -0.9086730188756054, + -0.8310949680082742, + -0.749353258166264, + -0.6648991002543849, + -0.5792023550476854, + -0.49370952743908647, + -0.4098028603954437, + -0.3287616080761286, + -0.25172650706237987, + -0.17966837819980952, + -0.1133616813949771, + -0.05336371464901254, + -4.658115920408005e-16 + ], + [ + 0, + 0.04446936909140338, + 0.08253856908962462, + 0.1147154663234348, + 0.1417224195332687, + 0.16447438151067087, + 0.18405148250039738, + 0.20166681915709217, + 0.21863029957447427, + 0.23630949995872155, + 0.25608856921200435, + 0.2793262719515567, + 0.3073142869030276, + 0.3412368754628035, + 0.3821330045293673, + 0.4308619491838956, + 0.4880733158814577, + 0.5541823175883864, + 0.6293510014747385, + 0.7134759805961927, + 0.8061830571963243, + 0.906828950920573, + 1.0145101647216517, + 1.128078839079946, + 1.2461652659387215, + 1.3672065619758331, + 1.4894808408369833, + 1.6111460797911266, + 1.7302827515999004, + 1.8449391904050674, + 1.9531785837568998, + 2.0531264335332824, + 2.143017307759236, + 2.221239713844996, + 2.286377961406749, + 2.337249948782353, + 2.372939900064331, + 2.392825196736142, + 2.3965965869930113, + 2.384271213188543, + 2.356198069743675, + 2.3130556860881906, + 2.25584201731508, + 2.185856714598399, + 2.1046761333992006, + 2.0141216154794472, + 1.9162217463667057, + 1.8131694390655824, + 1.7072748237965563, + 1.600915029150677, + 1.496482019640664, + 1.3963297062026312, + 1.3027215684402802, + 1.217780019706744, + 1.143438708623677, + 1.0813988842098328, + 1.0330908580097296, + 0.9996414777269148, + 0.9818483857427036, + 0.9801616759541397, + 0.994673387471265, + 1.0251150881189013, + 1.0708636089005492, + 1.1309547972633849, + 1.2041049668532695, + 1.2887395390894634, + 1.383028201751415, + 1.484925755985957, + 1.5922176894413698, + 1.702569402852315, + 1.8135779329990214, + 1.9228249585723043, + 2.0279298484301616, + 2.126601514650797, + 2.2166878655541598, + 2.29622171563149, + 2.3634620985324912, + 2.41693004368297, + 2.455438013898914, + 2.4781123571353625, + 2.484408296411587, + 2.474117163771348, + 2.447365772392887, + 2.404608011030684, + 2.3466089321872845, + 2.2744217851954334, + 2.1893586133468923, + 2.092955186244334, + 1.9869311709868285, + 1.8731465554303985, + 1.7535554209653041, + 1.6301582190284172, + 1.504953733612096, + 1.379891910744737, + 1.2568287054344855, + 1.1374840377427984, + 1.0234038640447756, + 0.9159272593577271, + 0.8161592747015253, + 0.7249501831523919, + 0.6428815633740269, + 0.570259494118936, + 0.5071149519021488, + 0.4532113213122976, + 0.4080587478216272, + 0.3709348909794102, + 0.3409114758154031, + 0.3168858961280327, + 0.2976169986672925, + 0.2817640751314303, + 0.2679280118953822, + 0.254693497360068, + 0.2406711649580913, + 0.22453855666693667, + 0.20507882713857664, + 0.18121617131292206, + 0.15204704701007135, + 0.11686637621170937, + 0.07518804167289503, + 0.026759145759970838, + -0.028432337837478287, + -0.09015671578656659, + -0.15794854842649242, + -0.23111928452474326, + -0.3087762229562945, + -0.38984730100668014, + -0.47311105597253944, + -0.557230970351958, + -0.6407932946555244, + -0.7223473486959968, + -0.8004472345189031, + -0.8736938536668273, + -0.9407761092914351, + -1.0005101900928646, + -1.0518758778086121, + -1.0940488919146527, + -1.1264283825753763, + -1.148658803279639, + -1.160645535039002, + -1.1625637910040323, + -1.1548604999575416, + -1.1382490451279086, + -1.1136969166716502, + -1.0824065174356516, + -1.045789537666472, + -1.0054354807487003, + -0.9630750746197025, + -0.9205394383554228, + -0.8797159871154867, + -0.8425021482615896, + -0.8107580246996463, + -0.786259176675295, + -0.7706506994004723, + -0.7654037507528085, + -0.7717756313439846, + -0.79077443968941, + -0.823129219909562, + -0.8692663908759432, + -0.9292930970858456, + -1.002987956419199, + -1.0897995023233722, + -1.1888524322305989, + -1.2989615846909746, + -1.4186533794525986, + -1.5461942721728161, + -1.6796256031030645, + -1.8168040612132275, + -1.9554468457192664, + -2.093180489315621, + -2.2275922145230864, + -2.356282628772415, + -2.4769185268188, + -2.587284561783585, + -2.6853325687796543, + -2.769227377192553, + -2.837388028035233, + -2.8885234194503036, + -2.9216615338337193, + -2.9361715510479436, + -2.931778320123938, + -2.9085688426460568, + -2.8669906102819347, + -2.807841832061173, + -2.732253779327273, + -2.641665663111163, + -2.5377926354615368, + -2.4225876687223398, + -2.298198210928853, + -2.1669186379075533, + -2.0311396203514844, + -1.8932955947514938, + -1.7558115689059717, + -1.6210505048275248, + -1.4912625039623713, + -1.3685369722202265, + -1.2547588665872342, + -1.1515700229598693, + -1.0603364388389984, + -0.9821222377868072, + -0.9176708787058963, + -0.8673939960948154, + -0.8313680718266507, + -0.8093389492534508, + -0.8007340112174951, + -0.8046816594885788, + -0.8200375587456404, + -0.8454169477352425, + -0.8792321775705403, + -0.9197345157369323, + -0.9650591571655408, + -1.01327231304053, + -1.0624192054774524, + -1.1105717828029653, + -1.1558749861139348, + -1.196590442600175, + -1.2311365335703468, + -1.2581238833300856, + -1.276385436497005, + -1.2850004328977398, + -1.2833117472829416, + -1.2709362317197406, + -1.2477678773753806, + -1.2139737949939082, + -1.169983195108113, + -1.1164697253712703, + -1.0543276889311037, + -0.9846428203487787, + -0.9086584303932004, + -0.827737844770748, + -0.743324151673198, + -0.656898336735531, + -0.5699369200433373, + -0.4838702173656251, + -0.4000423266789309, + -0.31967389187905954, + -0.24382861963831795, + -0.17338442462110573, + -0.10900995530434957, + -0.051147110603532074, + -4.451648696675859e-16 + ], + [ + 0, + 0.04233428475072377, + 0.07848887540873555, + 0.10908448208095471, + 0.1349455272379212, + 0.15707505311931644, + 0.17662449276066297, + 0.19485910514622473, + 0.213119989871696, + 0.23278368822505666, + 0.25522044341956507, + 0.28175223113968934, + 0.3136116815779498, + 0.35190299545176396, + 0.39756590952035126, + 0.4513436930106925, + 0.5137560569307774, + 0.5850777359594306, + 0.6653233604945905, + 0.7542390780582827, + 0.8513012125535743, + 0.9557220711193507, + 1.066462826015201, + 1.1822532176712852, + 1.301617649320257, + 1.422907077923348, + 1.5443359546021065, + 1.6640233343365258, + 1.7800371626918303, + 1.8904406596646093, + 1.9933396596679913, + 2.086929733820921, + 2.1695419169845764, + 2.2396858875928607, + 2.296089502717518, + 2.3377336727391276, + 2.3638816675230396, + 2.3741020765448657, + 2.3682847958171154, + 2.3466495810814822, + 2.309746885485202, + 2.258450886480712, + 2.193944796399938, + 2.117698739394046, + 2.031440659559531, + 1.9371208965965827, + 1.836871222023549, + 1.732959266917704, + 1.6277393879376565, + 1.5236011091166484, + 1.42291634032009, + 1.3279866077253624, + 1.2409915363056885, + 1.1639397989138176, + 1.098623691732234, + 1.0465784128751354, + 1.0090470117756634, + 0.986951844295621, + 0.9808732154592196, + 0.9910357220430239, + 1.0173026250665995, + 1.0591783919466038, + 1.1158193543249837, + 1.1860522350697538, + 1.2684001113548864, + 1.361115204589837, + 1.4622177265683276, + 1.5695398684583342, + 1.6807738986200482, + 1.793523239634059, + 1.9053553266496641, + 2.0138550098563766, + 2.1166772544606682, + 2.2115979122041156, + 2.296561388639578, + 2.3697241088173158, + 2.4294927887607645, + 2.474556648526316, + 2.5039128515615094, + 2.516884620819165, + 2.5131316605639538, + 2.4926526996270733, + 2.455780162432692, + 2.4031671637602927, + 2.335767207275548, + 2.2548071418607387, + 2.1617540894624523, + 2.0582771996698312, + 1.9462052061178705, + 1.8274808551952628, + 1.704113346154332, + 1.5781299619677045, + 1.4515280812539495, + 1.3262287431306228, + 1.2040328895053811, + 1.086581334357405, + 0.975319408946077, + 0.8714671081999995, + 0.7759954199409409, + 0.6896093587273466, + 0.6127380540001501, + 0.5455320622148463, + 0.48786788927125607, + 0.4393595274028486, + 0.39937663431827114, + 0.36706881620220216, + 0.3413953243209254, + 0.3211593412140217, + 0.3050459201014539, + 0.29166255296671867, + 0.2795812809528821, + 0.26738122672605347, + 0.2536904231162858, + 0.23722583571492623, + 0.2168305285447472, + 0.19150700007456845, + 0.1604458197033593, + 0.12304881975021738, + 0.07894624176391635, + 0.028007394943963478, + -0.029655445401037584, + -0.09368999446658315, + -0.16351368544396055, + -0.2383299066111007, + -0.3171503163687984, + -0.3988226452327814, + -0.48206324954427215, + -0.565493556171916, + -0.6476794339450029, + -0.7271724486287718, + -0.8025519059563837, + -0.8724665629281728, + -0.9356748919329659, + -0.9910828151736814, + -1.0377778876055275, + -1.0750589936353672, + -1.1024607340363268, + -1.1197718121435585, + -1.1270468791138106, + -1.124611463091854, + -1.113059782403218, + -1.0932454239936056, + -1.0662650507154592, + -1.0334354801351548, + -0.9962646487876894, + -0.9564171349137384, + -0.9156750556451962, + -0.8758952777247514, + -0.838963981003764, + -0.8067496885789116, + -0.7810559245504383, + -0.7635746787434645, + -0.7558418467719878, + -0.7591957737147728, + -0.7747399613103689, + -0.8033109035661427, + -0.8454518962800638, + -0.9013935250707119, + -0.9710413775169674, + -1.053971351796235, + -1.1494327510115283, + -1.2563591637018063, + -1.3733869414709143, + -1.4988808989131253, + -1.6309666836377443, + -1.767569099584295, + -1.9064555190493548, + -2.0452833915840563, + -2.181650754338314, + -2.3131485711153124, + -2.4374136783086184, + -2.5521810962837064, + -2.655334475172554, + -2.7449534842751775, + -2.8193570233733274, + -2.877141230618582, + -2.9172113829479964, + -2.938806928281214, + -2.941519050597486, + -2.9253003454566606, + -2.8904663703318936, + -2.8376890267257657, + -2.7679819247640927, + -2.6826780710934433, + -2.5834004028266015, + -2.4720258595644014, + -2.3506438380606944, + -2.2215100061898956, + -2.086996561325243, + -1.9495401004219772, + -1.8115883230507839, + -1.6755468130610345, + -1.5437271389152156, + -1.41829747720539, + -1.3012368993519776, + -1.194294369618124, + -1.0989533856388964, + -1.0164030535670756, + -0.9475162321187295, + -0.8928352071588262, + -0.8525651752547242, + -0.8265756253504, + -0.8144095170258355, + -0.815299966378068, + -0.8281939709789855, + -0.8517825380132541, + -0.8845364286508565, + -0.9247466006250996, + -0.9705683230311536, + -1.0200678551159912, + -1.0712705262416011, + -1.122209028524494, + -1.1709707374225518, + -1.2157429085616398, + -1.2548546604506576, + -1.2868147408067032, + -1.31034418672246, + -1.3244031229766415, + -1.328211095005565, + -1.3212604995661335, + -1.3033228527277636, + -1.274447817089392, + -1.2349550934542637, + -1.1854194620175715, + -1.1266494299362833, + -1.0596601016715785, + -0.9856410317525409, + -0.9059199430503747, + -0.8219232942228065, + -0.7351347552146547, + -0.6470526977478085, + -0.5591478274523005, + -0.4728220752424623, + -0.38936982801383535, + -0.30994251372870724, + -0.23551746516145994, + -0.1668718723264199, + -0.10456249883609177, + -0.04891168557590666, + -4.246151540548214e-16 + ], + [ + 0, + 0.04025922431950193, + 0.07461360944651997, + 0.10379160089803362, + 0.1287127564672834, + 0.15045966084470141, + 0.17024513217856993, + 0.18937559124529987, + 0.2092115658743992, + 0.23112638040695668, + 0.2564641302772448, + 0.286498063987692, + 0.32239048819826904, + 0.3651552764954536, + 0.41562399948684237, + 0.4744166047282592, + 0.5419174618355296, + 0.6182574537744775, + 0.703302643108841, + 0.7966498757190379, + 0.8976295083466512, + 1.0053152646870958, + 1.1185410422083792, + 1.2359243130109783, + 1.3558955913728086, + 1.4767332824585602, + 1.5966030850243966, + 1.7136009994230934, + 1.8257988939216443, + 1.931291509820769, + 2.02824374101355, + 2.1149370076530505, + 2.1898135570136392, + 2.2515175671950995, + 2.298932000073618, + 2.331210247188073, + 2.3478017337390975, + 2.3484707886418446, + 2.3333082491464725, + 2.3027354430092277, + 2.2575003752950806, + 2.1986661361059854, + 2.127591735206834, + 2.045905754992537, + 1.9554733899277326, + 1.8583576041257968, + 1.7567752850633092, + 1.6530493969130993, + 1.5495582384938758, + 1.448682985832423, + 1.3527547459186493, + 1.2640023652036068, + 1.1845022232710556, + 1.1161311991676088, + 1.0605239261011767, + 1.019035351316861, + 0.992709494305464, + 0.9822551510732646, + 0.9880291285197805, + 1.0100274149997646, + 1.0478845052060055, + 1.1008809041662324, + 1.1679586411002167, + 1.2477444338500452, + 1.3385799631980992, + 1.438558548032719, + 1.5455673611004208, + 1.6573341946655868, + 1.771477678942078, + 1.8855597762384504, + 1.9971393222881348, + 2.1038253644416494, + 2.203329054772982, + 2.2935128944526064, + 2.372436192986901, + 2.4383957004318657, + 2.4899604901057053, + 2.5260003106890587, + 2.5457067864195784, + 2.54860701841557, + 2.5345693247098082, + 2.5038010468019403, + 2.4568385417780303, + 2.394529666613556, + 2.318009240585483, + 2.228668138396387, + 2.1281168166047832, + 2.018144205626894, + 1.900673005800497, + 1.7777125062414167, + 1.651310097585097, + 1.523502672990349, + 1.3962691055125418, + 1.2714849543848183, + 1.1508804888587116, + 1.0360030277310812, + 0.928184477859274, + 0.8285148187774116, + 0.7378221264328757, + 0.6566595609610196, + 0.5852995655450078, + 0.5237353402373551, + 0.4716894707440809, + 0.4286294121922419, + 0.3937893563116548, + 0.3661978515374892, + 0.3447104032327211, + 0.32804615906559276, + 0.3148276855740854, + 0.3036227685381046, + 0.29298712374651664, + 0.2815068871866273, + 0.2678397649784202, + 0.25075376318002635, + 0.22916248484415322, + 0.20215607465834032, + 0.16902700776183835, + 0.1292900559212427, + 0.08269591767971948, + 0.029238165463117714, + -0.030846662300370743, + -0.09708581665986661, + -0.16878375479974217, + -0.24504185726217517, + -0.324783920191698, + -0.4067867455827559, + -0.4897150183377797, + -0.5721595454880557, + -0.6526778430872863, + -0.7298359923589955, + -0.8022506503137051, + -0.8686300922062704, + -0.9278131841172036, + -0.9788052331294165, + -1.0208097388364705, + -1.0532551713806944, + -1.0758160253632247, + -1.0884275427036318, + -1.0912936572675445, + -1.0848878858320714, + -1.0699470694183577, + -1.047458051684348, + -1.0186375623466903, + -0.9849057489222788, + -0.9478539650209581, + -0.9092075738062121, + -0.8707846572499096, + -0.8344516320720242, + -0.8020768589431155, + -0.7754833904110119, + -0.7564020335309709, + -0.7464259044720998, + -0.74696762430901, + -0.7592202483841364, + -0.7841229373568475, + -0.8223322683395087, + -0.8741999519935454, + -0.939757569327658, + -1.0187087739064402, + -1.110429225343523, + -1.2139743327231365, + -1.3280946965637814, + -1.4512589497830688, + -1.5816835164822136, + -1.7173686367288215, + -1.856139850102265, + -1.9956939944338112, + -2.133648662316921, + -2.2675939694289617, + -2.3951454277205557, + -2.513996684647369, + -2.621970887681606, + -2.7170694614528648, + -2.797517142399005, + -2.8618022014022575, + -2.908710896500192, + -2.9373553327102595, + -2.947194061031593, + -2.9380449200351735, + -2.910089806967337, + -2.863871256515667, + -2.800280899673857, + -2.720540067769476, + -2.626172993002334, + -2.5189732322520397, + -2.4009641011893907, + -2.274354046975374, + -2.1414880066293267, + -2.0047958916205904, + -1.8667394051323598, + -1.7297584351877742, + -1.596218273554142, + -1.4683588869277036, + -1.3482474139612832, + -1.2377349805662616, + -1.1384188186256163, + -1.0516105424596172, + -0.9783112863285487, + -0.9191942386676227, + -0.8745949287584327, + -0.8445094335773509, + -0.8286004812408305, + -0.8262112374824936, + -0.836386377596427, + -0.8578998727593901, + -0.8892887608284212, + -0.9288920314555206, + -0.9748936370577613, + -1.0253685476711036, + -1.0783307012217476, + -1.131781662821054, + -1.183758798169463, + -1.2323817871523943, + -1.2758963536068313, + -1.3127141646959484, + -1.3414479563359112, + -1.360941067027896, + -1.3702907080524713, + -1.3688644595923207, + -1.3563096558825978, + -1.3325555035788006, + -1.2978079616327205, + -1.2525375934667375, + -1.1974607785728237, + -1.1335148364366232, + -1.0618277667729699, + -0.9836834427061859, + -0.9004832044544999, + -0.8137048875502446, + -0.7248603795312811, + -0.6354528309285915, + -0.5469346495098859, + -0.4606673811016942, + -0.37788452660743616, + -0.29965826447584337, + -0.22687094293059726, + -0.1601920794416121, + -0.10006145944323012, + -0.04667876589314745, + -4.0436001113043494e-16 + ], + [ + 0, + 0.03826435089587519, + 0.07095087276669022, + 0.09888964142321793, + 0.12308752993775146, + 0.1446973598767792, + 0.16498281560643255, + 0.18528005529345262, + 0.20695704035172113, + 0.2313716670908166, + 0.25982981860980425, + 0.29354446064498, + 0.33359688194314485, + 0.38090112833588224, + 0.4361726012908948, + 0.49990168825036385, + 0.5723331661031982, + 0.6534519738168133, + 0.7429757892047755, + 0.8403546720600377, + 0.9447778557707819, + 1.055187586580536, + 1.1702997284591856, + 1.2886306766842879, + 1.408529959110368, + 1.5282177548854043, + 1.6458264298515861, + 1.75944507937559, + 1.8671659856823974, + 1.9671318400929863, + 2.0575825523980704, + 2.136900470738104, + 2.2036528658763053, + 2.2566305929876287, + 2.294881930667379, + 2.317740708730754, + 2.3248479708383574, + 2.3161665717848776, + 2.2919882786842214, + 2.25293312613469, + 2.1999409633202793, + 2.1342553212830175, + 2.0573999166015584, + 1.971148288794551, + 1.8774872384567882, + 1.7785748872268359, + 1.676694315349201, + 1.5742038444755493, + 1.4734851196471732, + 1.376890202938758, + 1.2866889205249485, + 1.2050177041765109, + 1.1338311373597385, + 1.074857355896959, + 1.0295583649660713, + 0.9990962201790644, + 0.9843058833260343, + 0.9856754064142743, + 1.0033339246716515, + 1.0370477544146244, + 1.0862246995906921, + 1.1499264760609598, + 1.2268889700259755, + 1.3155498611021503, + 1.4140829659472787, + 1.5204384992560158, + 1.6323883092631177, + 1.747575027992246, + 1.8635639851997496, + 1.977896671488371, + 2.0881445019228733, + 2.1919616274694573, + 2.287135567763537, + 2.3716344944085272, + 2.443650077820511, + 2.5016349204717465, + 2.5443337325263293, + 2.570807559011526, + 2.580450537050952, + 2.572998843128844, + 2.548531679398302, + 2.5074643400497427, + 2.450533589014445, + 2.3787757641381373, + 2.293498195933782, + 2.1962446869002417, + 2.0887559363438863, + 1.9729259123074359, + 1.8507552637950455, + 1.7243029308107192, + 1.5956371453023563, + 1.4667870221440302, + 1.3396959157446755, + 1.2161776654251262, + 1.0978767727541259, + 0.9862334486542231, + 0.882454339981385, + 0.7874895977088782, + 0.7020167855422595, + 0.6264319528777201, + 0.5608480138894784, + 0.5051003897620346, + 0.4587596882950414, + 0.42115101886740475, + 0.3913793754457874, + 0.368360370071199, + 0.35085546778180143, + 0.3375107644796231, + 0.32689826451557663, + 0.3175585568189405, + 0.30804375862766237, + 0.2969595949687722, + 0.2830055099529824, + 0.26501176191965065, + 0.24197253702954818, + 0.21307422291836908, + 0.1777181127465841, + 0.13553695712028602, + 0.08640494316208361, + 0.030440852363280736, + -0.031995672632037286, + -0.10031464200731299, + -0.17371272600108217, + -0.2511962980885296, + -0.3316098987950093, + -0.4136693625520307, + -0.4959987271171221, + -0.5771699446981712, + -0.6557443386140893, + -0.730314701020105, + -0.7995469071820748, + -0.8622199305428817, + -0.9172631802037937, + -0.9637901475421334, + -1.0011274399024976, + -1.0288383943721535, + -1.0467406007186817, + -1.0549168162345923, + -1.0537189226570074, + -1.043764752316507, + -1.0259277927767991, + -1.0013199618782418, + -0.971267823694062, + -0.9372827859415354, + -0.901025976560175, + -0.8642686374873826, + -0.8288489935539679, + -0.7966266508160779, + -0.7694356490443351, + -0.7490373356575567, + -0.7370742419588708, + -0.7350261266685485, + -0.744169306744436, + -0.7655403223575138, + -0.7999048833684207, + -0.8477329211122799, + -0.9091804247272333, + -0.9840785791685921, + -1.071930546389819, + -1.1719160462427174, + -1.2829037039903708, + -1.4034709416020197, + -1.5319310048856747, + -1.6663665425836254, + -1.804668991162154, + -1.9445828741989626, + -2.0837540016132556, + -2.2197804545818256, + -2.350265169337238, + -2.472868888992267, + -2.585362238220634, + -2.6856756914598816, + -2.7719462509602875, + -2.842559725423824, + -2.8961876013912673, + -2.9318176255124713, + -2.94877736333738, + -2.946750165726859, + -2.925783153393102, + -2.8862870190848122, + -2.8290276409409554, + -2.7551096948326945, + -2.6659526433710696, + -2.563259660061718, + -2.4489802144408923, + -2.3252671938638425, + -2.1944295662993207, + -2.0588816928948694, + -1.921090476693667, + -1.7835215828385718, + -1.6485859847308615, + -1.5185880794866813, + -1.39567657496428, + -1.2817992806619052, + -1.1786628376593375, + -1.0876983009103853, + -1.0100333436050684, + -0.9464716915554928, + -0.8974802196054148, + -0.8631839562495026, + -0.8433690515388927, + -0.8374935716316741, + -0.8447057957145656, + -0.8638695120594359, + -0.8935956440483306, + -0.9322793881362629, + -0.9781419175264983, + -1.0292756008954136, + -1.0836916073181104, + -1.1393687184518009, + -1.1943021481747609, + -1.2465511786711676, + -1.294284460078767, + -1.335821887233831, + -1.369672060013902, + -1.3945644508975388, + -1.4094755416400855, + -1.413648346896996, + -1.406604912270865, + -1.3881515533424365, + -1.358376786272036, + -1.3176420849142265, + -1.2665657794662801, + -1.2060005829765705, + -1.1370053903079615, + -1.060812135453271, + -0.9787886139362383, + -0.8923982744225952, + -0.8031580552242334, + -0.7125953853693318, + -0.6222054852903514, + -0.5334100886276598, + -0.44751866456318423, + -0.36569315060572705, + -0.28891711065481557, + -0.21797011492200064, + -0.15340799991554277, + -0.09554951172872632, + -0.04446966826030092, + -3.845943725452794e-16 + ], + [ + 0, + 0.036369079392308594, + 0.06753677332659992, + 0.09442773906511236, + 0.11812752278625817, + 0.1398492027425286, + 0.16089630537735802, + 0.18262298316546755, + 0.20639251639687195, + 0.2335352474007009, + 0.2653070736007427, + 0.30284961482378103, + 0.3471531306846346, + 0.39902319660966584, + 0.45905205379216824, + 0.5275954314135858, + 0.6047555017280035, + 0.690370473534217, + 0.7840111610311551, + 0.8849846872938237, + 0.9923452990822028, + 1.1049120869960338, + 1.22129322671807, + 1.3399161877487982, + 1.4590631999132624, + 1.5769111289798248, + 1.6915747945137711, + 1.8011526686274961, + 1.9037738260281099, + 1.9976449754986705, + 2.081096391781921, + 2.152625585143783, + 2.2109375933224666, + 2.2549808560368514, + 2.2839777339535705, + 2.2974488595579863, + 2.295230653704731, + 2.2774855051806218, + 2.2447042874031595, + 2.1977010720712817, + 2.1376000896211518, + 2.0658151760411054, + 1.9840221302868706, + 1.8941245816459746, + 1.798214127590795, + 1.6985256459303153, + 1.5973888068524318, + 1.497176907696285, + 1.4002542235606632, + 1.3089231083533763, + 1.225372092535822, + 1.151626205266987, + 1.0895007002938957, + 1.0405592878955983, + 1.0060778712953378, + 0.9870146577016083, + 0.983987364614907, + 0.9972580748585601, + 1.026726113010695, + 1.071929125917751, + 1.1320523553739539, + 1.205945896586845, + 1.2921495464457322, + 1.3889246654794039, + 1.4942923111123931, + 1.6060767514463221, + 1.7219533419083766, + 1.8394996447980532, + 1.9562485965002918, + 2.069742480728175, + 2.177586449714512, + 2.277500349157948, + 2.3673676465705005, + 2.4452803353632073, + 2.5095787867297625, + 2.558885645672154, + 2.5921330132828775, + 2.6085823210598473, + 2.60783648055208, + 2.5898440786521837, + 2.5548955807747893, + 2.5036116962844304, + 2.4369242481613522, + 2.356050067437626, + 2.2624585980491494, + 2.1578340454211924, + 2.044033028762863, + 1.9230387996421823, + 1.796913165500259, + 1.6677473045525661, + 1.5376126769326255, + 1.4085132256014496, + 1.2823400198557975, + 1.160829425324709, + 1.0455257889509428, + 0.9377495080664827, + 0.8385712123337786, + 0.7487926295951896, + 0.6689345355335595, + 0.5992320068039348, + 0.539637012473137, + 0.489828193827875, + 0.44922750249933946, + 0.41702319589293485, + 0.3921985313579277, + 0.3735653602921707, + 0.35980170391963834, + 0.34949229674497806, + 0.34117101402199623, + 0.3333640576573103, + 0.3246327617931923, + 0.3136148951396953, + 0.29906338149179384, + 0.2798814315932347, + 0.25515317672985777, + 0.22416901464759467, + 0.1864450185153855, + 0.14173591611369477, + 0.09004131524069371, + 0.031605028197450084, + -0.033092471352158793, + -0.10334824643213278, + -0.17825736315072174, + -0.25673907500766047, + -0.3375680249476759, + -0.4194096332094905, + -0.5008587285284822, + -0.5804803938712797, + -0.6568519378211655, + -0.7286048705414441, + -0.7944657597662144, + -0.853294867627577, + -0.904121522722658, + -0.94617526233891, + -0.9789118851985372, + -1.0020336828302974, + -1.0155032645416755, + -1.0195505532746942, + -1.0146727033181429, + -1.0016268715596046, + -0.9814159571506764, + -0.9552676055157396, + -0.9246069469920293, + -0.8910237036381121, + -0.8562344457514689, + -0.8220409086279502, + -0.7902853867793453, + -0.7628043044532425, + -0.7413811157444539, + -0.7276997133969197, + -0.7232995218263494, + -0.7295334169359514, + -0.7475295536701773, + -0.7781580933904344, + -0.8220037091779001, + -0.8793446108171209, + -0.9501386757968378, + -1.0340171019686912, + -1.1302858157050706, + -1.237934680953179, + -1.355654364126932, + -1.4818605220043861, + -1.6147247993426508, + -1.7522119542503325, + -1.892122276652044, + -2.032138332239, + -2.1698749544409495, + -2.3029313229323334, + -2.4289439111239313, + -2.5456390584276694, + -2.650883926536487, + -2.7427346325105035, + -2.8194804143458647, + -2.879682775441021, + -2.9222086707996207, + -2.946256937120325, + -2.951377327757153, + -2.937481688044705, + -2.9048469924377835, + -2.85411015779906, + -2.786254742293505, + -2.7025898319695267, + -2.604721602539054, + -2.4945182176024994, + -2.374068882375082, + -2.2456380100251874, + -2.111615572682193, + -1.974464798228371, + -1.8366684350070668, + -1.7006748380970227, + -1.5688451320822967, + -1.4434026762908516, + -1.3263860000270817, + -1.2196062888486636, + -1.1246103905868903, + -1.0426501743644192, + -0.9746589206703784, + -0.921235249434606, + -0.8826349102114367, + -0.8587705685301285, + -0.8492195298555726, + -0.8532391521461894, + -0.8697895143515305, + -0.897562735839364, + -0.9350181848740101, + -0.9804226766878676, + -1.0318946467167711, + -1.0874511949630186, + -1.145056835332171, + -1.2026727506014177, + -1.258305350141928, + -1.3100529536226524, + -1.3561494789234307, + -1.395004094921462, + -1.425235907551317, + -1.445702877816472, + -1.4555243199375896, + -1.4540964927783093, + -1.4411009739354959, + -1.4165056889890986, + -1.3805586537875083, + -1.333774670660815, + -1.2769153955399928, + -1.2109633577293568, + -1.1370906634400733, + -1.056623244443947, + -0.9710016211343094, + -0.8817392322345451, + -0.7903794393543789, + -0.6984523422194368, + -0.607432539062943, + -0.5186989364696117, + -0.43349765472515184, + -0.3529089899770934, + -0.277819285445508, + -0.20889843333579283, + -0.1465835803381533, + -0.09106944644289366, + -0.04230549340876137, + -3.6550863886177547e-16 + ], + [ + 0, + 0.03459188608033418, + 0.06440506909359281, + 0.09045085751478413, + 0.11388408402462659, + 0.13596751953581848, + 0.1580331043781812, + 0.18144103220955285, + 0.20753778030849349, + 0.2376142099866117, + 0.2728648621423763, + 0.31434954539931265, + 0.3629582584910821, + 0.4193804059464409, + 0.4840791587375985, + 0.5572716820611628, + 0.6389158040561751, + 0.7287035357421465, + 0.8260616778813751, + 0.930159569218046, + 1.0399238471804961, + 1.1540599112721717, + 1.2710796055862927, + 1.3893344745556273, + 1.5070537993095332, + 1.6223864945914723, + 1.7334458413513427, + 1.8383559505706213, + 1.9352988016805848, + 2.0225606754926884, + 2.0985768075586795, + 2.1619731232670625, + 2.2116039799804543, + 2.2465849326295815, + 2.266319655230455, + 2.2705202889831413, + 2.2592206445885057, + 2.232781858354463, + 2.1918902843471186, + 2.1375475937904165, + 2.071053243481185, + 1.993979662465453, + 1.9081406859834416, + 1.815553933282737, + 1.7183979771613487, + 1.6189652842687225, + 1.5196120129862165, + 1.4227058374215167, + 1.3305730196142596, + 1.2454459760823775, + 1.1694125786842757, + 1.1043683935157576, + 1.0519729960278357, + 1.0136114072868982, + 0.990361577530138, + 0.9829687017527475, + 0.9918269914137744, + 1.0169693503541144, + 1.0580652159516204, + 1.1144266329377661, + 1.185022431873745, + 1.2685001917839576, + 1.3632154815548458, + 1.4672677019245735, + 1.5785416934164616, + 1.6947541392093546, + 1.8135036790014267, + 1.9323235631471989, + 2.0487356178250224, + 2.1603042631279044, + 2.2646893274385764, + 2.3596964331843053, + 2.4433237902583245, + 2.513804322514432, + 2.569642167576768, + 2.609642727918114, + 2.6329356083501447, + 2.6389899478665924, + 2.6276218379377596, + 2.598993710350433, + 2.5536057708400697, + 2.4922797453444328, + 2.4161353890642405, + 2.326560380176944, + 2.2251743758409908, + 2.1137881442748823, + 1.9943587999147734, + 1.868942256234769, + 1.7396440706821243, + 1.6085698869505407, + 1.4777766808255033, + 1.3492259871603036, + 1.2247402279881539, + 1.1059631768661482, + 0.9943254844758078, + 0.8910160580876484, + 0.796959936094977, + 0.7128031322618619, + 0.6389047468052267, + 0.57533645739875, + 0.5218893172557593, + 0.47808760426560676, + 0.44320928929098585, + 0.4163125275573261, + 0.3962674286543895, + 0.3817922316967309, + 0.37149290583289374, + 0.36390511516043345, + 0.3575374331662769, + 0.3509146663559408, + 0.3426201503312939, + 0.33133591406576085, + 0.3158796686243904, + 0.2952376634981466, + 0.26859256481984023, + 0.23534564215067133, + 0.1951327008862826, + 0.14783336179596135, + 0.0935734635934538, + 0.032720544311149784, + -0.03412746195580379, + -0.10615999924032381, + -0.1823776521656705, + -0.26162125749445936, + -0.3426055854785507, + -0.42395669160209226, + -0.5042519422233434, + -0.5820616460459624, + -0.6559911791216069, + -0.7247224753491197, + -0.7870537676206936, + -0.8419365065729206, + -0.8885084533106348, + -0.9261220377678574, + -0.9543671931833148, + -0.9730880165341445, + -0.9823927612053911, + -0.9826568377560891, + -0.9745186771198149, + -0.9588684934632088, + -0.9368301666166621, + -0.9097366418801033, + -0.8790994135989956, + -0.8465728139306902, + -0.8139139657401027, + -0.7829393750675395, + -0.7554792311096072, + -0.7333305477499886, + -0.718210318627446, + -0.7117098664902426, + -0.7152515468408035, + -0.7300489160385945, + -0.7570713962448613, + -0.79701436570032, + -0.8502754753198234, + -0.9169378445526876, + -0.9967606244968633, + -1.0891772384004312, + -1.1933014232951207, + -1.3079410061644456, + -1.4316191584427633, + -1.5626026884514606, + -1.6989367571616583, + -1.838485242748861, + -1.9789758377490423, + -2.118048842770833, + -2.2533085256662533, + -2.382375847208404, + -2.502941315400286, + -2.6128167215647236, + -2.709984532628786, + -2.792643765060091, + -2.859251245548979, + -2.908557269867207, + -2.9396348018208056, + -2.95190150570739, + -2.9451340745227617, + -2.9194744982467964, + -2.8754281074547823, + -2.813853422608745, + -2.7359440339398424, + -2.6432029261053813, + -2.5374098411872112, + -2.420582438729582, + -2.2949321583779656, + -2.162815815709382, + -2.0266840620056223, + -1.8890279115908137, + -1.752324584179904, + -1.618983923421515, + -1.4912966361635924, + -1.3713855503610355, + -1.2611610141550769, + -1.1622814563603734, + -1.076120001931216, + -1.003737888072443, + -0.9458652611576759, + -0.902889755590214, + -0.8748530675884189, + -0.8614555442132193, + -0.8620686154995021, + -0.8757547100115478, + -0.9012941160923669, + -0.9372180868525399, + -0.9818473405326984, + -1.0333349828149299, + -1.0897127769588437, + -1.1489396136972554, + -1.2089509873793527, + -1.2677082689218593, + -1.3232465800171742, + -1.3737201163087347, + -1.4174438387093602, + -1.4529305498439158, + -1.4789224942301442, + -1.4944167631735772, + -1.4986839448375824, + -1.4912796325361635, + -1.4720485856456718, + -1.4411215230945371, + -1.3989047145259579, + -1.346062714315211, + -1.2834947541761748, + -1.2123054668720765, + -1.1337707526683698, + -1.0492997181946093, + -0.9603937114147614, + -0.8686035441455237, + -0.775486033375923, + -0.6825610035975629, + -0.5912698742469459, + -0.5029369097126323, + -0.41873413540935034, + -0.3396508240910917, + -0.2664683344239172, + -0.1997409419954249, + -0.1397831450220608, + -0.08666375704975535, + -0.04020692124942943, + -3.4728682187385985e-16 + ], + [ + 0, + 0.032950126910679146, + 0.0615868339784887, + 0.08699934030184955, + 0.11040171917148184, + 0.13309538301462692, + 0.1564289592359359, + 0.18175663053256633, + 0.21039605542475864, + 0.24358699831108832, + 0.28245178295805295, + 0.3279586393244979, + 0.3808889420813104, + 0.44180924188877924, + 0.5110488698612221, + 0.5886837546941671, + 0.6745269341817285, + 0.7681260722661457, + 0.8687681136215231, + 0.975491024584845, + 1.0871023866237592, + 1.202204431080477, + 1.3192249361410362, + 1.4364532531020617, + 1.552080592955407, + 1.664243589558917, + 1.7710700651570788, + 1.8707258601068668, + 1.961461553040091, + 2.041657891340254, + 2.109868774987105, + 2.16486068904802, + 2.2056475601692895, + 2.2315201184436635, + 2.242068975454357, + 2.237200778983901, + 2.2171469711819993, + 2.182464855842292, + 2.134030867455672, + 2.0730261252873854, + 2.0009145451681802, + 1.9194139653156694, + 1.8304609157642802, + 1.736169819580609, + 1.6387875540292833, + 1.5406444177371679, + 1.4441026427245973, + 1.3515036555866486, + 1.2651153284417782, + 1.1870804665588757, + 1.119367755603755, + 1.0637263377328199, + 1.0216451035575396, + 0.9943176782618683, + 0.9826139474835927, + 0.9870588151674508, + 1.007818715172331, + 1.0446962150973926, + 1.0971328590323075, + 1.164220200394894, + 1.244718781450572, + 1.3370846272458805, + 1.4395026431289597, + 1.549926141117766, + 1.6661215750989726, + 1.7857174417276866, + 1.9062562059381185, + 2.0252480395402572, + 2.140225120163764, + 2.2487952268000924, + 2.34869338762688, + 2.4378303851720413, + 2.514337001950274, + 2.576602994543298, + 2.623309913103946, + 2.6534570332603256, + 2.666379834686889, + 2.6617606410809214, + 2.639631225506096, + 2.6003673783997634, + 2.544675628255764, + 2.4735724923797573, + 2.3883568125993255, + 2.2905758940773984, + 2.181986310464297, + 2.064510362025177, + 1.940189272131533, + 1.811134279257162, + 1.679476824690734, + 1.5473190496009184, + 1.4166857986320236, + 1.289479281373915, + 1.16743746907055, + 1.0520972037318936, + 0.9447628729640621, + 0.8464813594835595, + 0.7580238130845194, + 0.679874618845809, + 0.6122277529674511, + 0.5549905313832019, + 0.5077945708635101, + 0.4700136023251028, + 0.44078760597964733, + 0.41905258200645046, + 0.4035751324838728, + 0.39299091376435175, + 0.3858459261901855, + 0.38063954227084956, + 0.3758681367590811, + 0.3700681733472627, + 0.36185762310535674, + 0.3499746387138411, + 0.3333124847118465, + 0.31094982540196503, + 0.28217559611742155, + 0.24650782708654864, + 0.2037059484604376, + 0.1537762761444782, + 0.09697055654392046, + 0.03377762966505513, + -0.03509155039457657, + -0.10872512523678245, + -0.1860371972977817, + -0.26579962760036935, + -0.34667791417112137, + -0.42727019179535547, + -0.506148310989642, + -0.5818998979753045, + -0.6531702694787906, + -0.718703077099781, + -0.7773785857826757, + -0.8282485488809077, + -0.8705667269862674, + -0.9038142070024842, + -0.927718809146794, + -0.9422680193844671, + -0.9477150494855204, + -0.9445778023078911, + -0.9336307016487841, + -0.9158895294916267, + -0.8925895940844721, + -0.8651577254549407, + -0.8351787563136078, + -0.804357291726475, + -0.7744756967428358, + -0.7473493341262928, + -0.7247801617970786, + -0.708509849528685, + -0.7001735955090155, + -0.7012558149521935, + -0.7130488351416555, + -0.7366156649410931, + -0.772757813482557, + -0.8219890146611792, + -0.8845155740846948, + -0.9602238966452075, + -1.0486755797697196, + -1.1491102739054355, + -1.2604563224140883, + -1.3813490024499846, + -1.5101560012834483, + -1.6450095835324074, + -1.7838447383175462, + -1.9244424455966747, + -2.064477071593945, + -2.2015667975557554, + -2.333325906696238, + -2.4574177031560036, + -2.571606815410604, + -2.673809645422603, + -2.7621417637850967, + -2.8349611192652207, + -2.8909060269163653, + -2.9289270199994935, + -2.948311794425589, + -2.9487026368388887, + -2.9301059048715996, + -2.892893316212269, + -2.8377949973728294, + -2.7658844386914767, + -2.678555694410667, + -2.5774933509427194, + -2.4646359581950823, + -2.34213377389549, + -2.212301805462469, + -2.077569244840761, + -1.9404264761750303, + -1.8033708921886353, + -1.6688527813242273, + -1.5392225434754585, + -1.416680457627805, + -1.3032301608032804, + -1.200636905963305, + -1.1103915492386303, + -1.0336810769215325, + -0.9713663235232175, + -0.9239673577824581, + -0.8916568280954769, + -0.8742613669704522, + -0.8712709604929197, + -0.881855998156304, + -0.9048915354192116, + -0.93898813045633, + -0.9825284619251594, + -1.0337087999212822, + -1.0905842908852215, + -1.1511169317198626, + -1.2132250508000149, + -1.2748330852334662, + -1.3339204452675513, + -1.388568287991156, + -1.4370030825878095, + -1.4776359367679384, + -1.5090967663929948, + -1.530262524831279, + -1.5402788618435415, + -1.538574749915758, + -1.5248697947082936, + -1.4991741311905273, + -1.4617809934508044, + -1.4132522294591696, + -1.3543972076479638, + -1.2862457256992272, + -1.2100156793331867, + -1.1270763765359606, + -1.038908487404795, + -0.9470616990620256, + -0.8531111969735877, + -0.7586141172720112, + -0.6650671088148621, + -0.5738661089257413, + -0.4862693740099306, + -0.4033647171547222, + -0.32604179171834, + -0.2549701256852281, + -0.19058345965080242, + -0.1330707755680347, + -0.0823742280585077, + -0.03819400961675005, + -3.3010474504090837e-16 + ], + [ + 0, + 0.031459866475203664, + 0.05911014953272174, + 0.08410850703458353, + 0.10771763946223206, + 0.13126616420025256, + 0.15610747892522828, + 0.18357771652462715, + 0.21495391979144313, + 0.25141356102243556, + 0.2939964996427712, + 0.3435704108669897, + 0.4008006316733518, + 0.46612525917534786, + 0.539736203598002, + 0.6215667468339799, + 0.7112859917577559, + 0.8083004112789411, + 0.9117625239494972, + 1.0205865393920348, + 1.1334706365178682, + 1.2489253650107042, + 1.3653075002337194, + 1.4808585376464811, + 1.5937468886663955, + 1.7021127388587423, + 1.804114453999748, + 1.8979753719012402, + 1.9820297991981723, + 2.0547670431463656, + 2.1148723486859335, + 2.161263679692497, + 2.193123378848593, + 2.2099238606350147, + 2.211446633663071, + 2.1977941084961885, + 2.169393821334757, + 2.1269948881898313, + 2.0716566939191496, + 2.0047300110663775, + 1.9278309301243894, + 1.8428081610148188, + 1.7517044308183105, + 1.656712850992856, + 1.5601292547833563, + 1.4643016090609489, + 1.371577681826165, + 1.2842521951059243, + 1.2045147117088078, + 1.1343994927452254, + 1.0757385211818902, + 1.0301188159367316, + 0.9988450628010297, + 0.9829084651469601, + 0.9829625719069318, + 0.999306676208849, + 1.0318771992922755, + 1.0802472852507787, + 1.14363463733864, + 1.2209174307822537, + 1.310657945011628, + 1.4111333746491865, + 1.5203731079301233, + 1.6362016076343082, + 1.7562858968208213, + 1.8781865428989881, + 1.9994109514839182, + 2.1174677280541605, + 2.229920841938158, + 2.3344423341540264, + 2.4288623479168003, + 2.5112153272705027, + 2.5797813236416465, + 2.633121469813676, + 2.670106822934074, + 2.6899399391900625, + 2.6921687187655277, + 2.6766922463018044, + 2.6437585447531142, + 2.5939543545369452, + 2.528187240488174, + 2.447660511682027, + 2.3538416092500056, + 2.2484247707446428, + 2.1332889127004506, + 2.010451782584671, + 1.8820215147134578, + 1.7501467799590815, + 1.6169667449210727, + 1.4845620521371656, + 1.354907999068084, + 1.229831030936701, + 1.1109695726825368, + 0.999740110619206, + 0.8973092977798991, + 0.8045727018645958, + 0.7221406450734872, + 0.6503314051880186, + 0.5891718615531414, + 0.5384054827655697, + 0.4975073695440711, + 0.4657058910125675, + 0.44201028981688767, + 0.4252434851539109, + 0.4140791765304253, + 0.4070822479923872, + 0.40275139519160297, + 0.39956284785673907, + 0.39601403918583256, + 0.3906660818328569, + 0.3821839472431492, + 0.36937331009875746, + 0.3512131108624421, + 0.32688300450016394, + 0.29578499946164827, + 0.25755874443046123, + 0.21209008730807857, + 0.15951270712299928, + 0.10020280057937857, + 0.03476698618514037, + -0.03597623426944635, + -0.11102094915890963, + -0.18920358285550587, + -0.269237113654816, + -0.3497488463066402, + -0.4293207280064204, + -0.5065311289668071, + -0.5799969686077697, + -0.6484150570130202, + -0.7106015389142254, + -0.7655283736660066, + -0.8123558583267894, + -0.8504603002338162, + -0.8794560678789588, + -0.899211391393464, + -0.9098574429644894, + -0.9117903990430751, + -0.9056663659517562, + -0.8923892339361201, + -0.8730917072048424, + -0.849109934459373, + -0.8219523313502167, + -0.793263338978396, + -0.7647829971029247, + -0.7383033236806237, + -0.7156225808478762, + -0.6984985691567982, + -0.6886021251666319, + -0.6874720014369289, + -0.6964722823752251, + -0.7167534347968878, + -0.7492180097220716, + -0.794491903820609, + -0.8529019576232648, + -0.9244605163322243, + -1.0088574114742217, + -1.105459641849226, + -1.2133188446502818, + -1.331186456884091, + -1.4575362780131358, + -1.5905939617475748, + -1.7283727926733554, + -1.8687149461908394, + -2.009337291972175, + -2.1478806852811747, + -2.28196159994811, + -2.409224893844594, + -2.5273964639765634, + -2.6343345447062605, + -2.7280784292853264, + -2.806893451247241, + -2.869311146951444, + -2.914163631680089, + -2.940611356496175, + -2.9481635683297367, + -2.9366909677121984, + -2.9064302430599724, + -2.857980352938437, + -2.7922906236374363, + -2.710640923894169, + -2.614614366975981, + -2.5060631679983683, + -2.3870684469783314, + -2.259894911753194, + -2.1269414760369076, + -1.9906889635990264, + -1.8536461175154078, + -1.718295172016681, + -1.5870382527298903, + -1.4621458488945491, + -1.345708549006139, + -1.2395931505987874, + -1.145404147526997, + -1.0644514667944465, + -0.9977251749422292, + -0.945877704989554, + -0.9092139730689822, + -0.8876895636765065, + -0.8809169685249001, + -0.8881796710907619, + -0.908453681792945, + -0.9404359518947413, + -0.9825789319852299, + -1.0331303971998906, + -1.0901775396569002, + -1.1516942318341503, + -1.2155902950934205, + -1.2797615668964761, + -1.3421395493620545, + -1.4007394408538727, + -1.4537054007002195, + -1.499351973631349, + -1.5362007030969835, + -1.563011088665659, + -1.578805189008141, + -1.5828853348314698, + -1.5748445914576739, + -1.5545697941321106, + -1.5222371660094307, + -1.478300714433712, + -1.4234737809767368, + -1.3587042902527948, + -1.2851443975851355, + -1.2041153723230362, + -1.1170686686309736, + -1.025544226072583, + -0.9311271060906341, + -0.8354036060120119, + -0.739917998665288, + -0.6461310229994864, + -0.555381199878847, + -0.46884996885660923, + -0.38753153823821657, + -0.31220821479519195, + -0.24343183431142654, + -0.18151175343916096, + -0.12650969120431899, + -0.07824152930639858, + -0.036285998656672744, + -3.1412832045472506e-16 + ], + [ + 0, + 0.030135719370387802, + 0.05699982559539229, + 0.08180829852056289, + 0.10586138235861013, + 0.13050318318698503, + 0.15707987291922296, + 0.18689762157186324, + 0.2211813888550528, + 0.26103568628892637, + 0.30740837266510085, + 0.36105846992837815, + 0.42252888533343164, + 0.49212480156345617, + 0.5698983524914044, + 0.6556400420312648, + 0.7488771910912532, + 0.8488795173396003, + 0.9546717688675747, + 1.0650531505147627, + 1.1786231052146132, + 1.2938128466893928, + 1.4089218883863455, + 1.5221586805564908, + 1.6316843562346872, + 1.7356585004450649, + 1.8322857974775841, + 1.9198623801383925, + 1.996820703337786, + 2.0617717923819954, + 2.113543773278629, + 2.1512156769275563, + 2.1741456192351607, + 2.1819925923042054, + 2.174731254680768, + 2.152659277453264, + 2.1163969836602115, + 2.0668792065333266, + 2.0053394829473037, + 1.9332868873545348, + 1.852475993777046, + 1.764870624587509, + 1.6726022005805514, + 1.5779236433302672, + 1.483159894633795, + 1.390656206090678, + 1.302725412325477, + 1.2215954324689884, + 1.1493582454341202, + 1.087921555160185, + 1.0389643030031193, + 1.0038970971973644, + 0.9838285158829979, + 0.9795381032995445, + 0.9914567216959218, + 1.0196547480924814, + 1.0638384194598156, + 1.1233544366556032, + 1.1972027412821942, + 1.2840571852665854, + 1.3822936251521145, + 1.4900247964001618, + 1.605141161733347, + 1.7253567856342973, + 1.848259167999224, + 1.9713618765276641, + 2.092158751974131, + 2.208178424474958, + 2.3170378736502877, + 2.4164937901805303, + 2.504490551432414, + 2.5792037070975855, + 2.639077980642304, + 2.68285892594179, + 2.7096175324987697, + 2.718767243337082, + 2.7100730328281424, + 2.6836523828599934, + 2.6399681902158307, + 2.5798138310365624, + 2.5042907950890725, + 2.414779478695875, + 2.3129038863218336, + 2.2004911330545314, + 2.0795267601246796, + 1.9521069703152536, + 1.8203889573538568, + 1.6865405416041812, + 1.5526903327208494, + 1.4208796182979924, + 1.2930171265571515, + 1.1708377321400691, + 1.0558660691417519, + 0.9493858873217812, + 0.852415839220018, + 0.7656922214191423, + 0.6896590165770682, + 0.6244653985269119, + 0.5699706753205885, + 0.5257564592513688, + 0.4911456732579148, + 0.4652278341494387, + 0.446889898985461, + 0.4348518255009849, + 0.42770588402205134, + 0.4239586696445222, + 0.42207470170264133, + 0.4205204642080214, + 0.41780773675503546, + 0.41253509039425446, + 0.4034264764690429, + 0.3893659169757629, + 0.3694274105522365, + 0.3428992960047546, + 0.30930246207827594, + 0.2684019542109653, + 0.22021170216779634, + 0.1649922723172695, + 0.10324173033437385, + 0.035679879664692576, + -0.03677368638296556, + -0.11302711990756456, + -0.19184869637872956, + -0.27190316412555576, + -0.3517910900708142, + -0.4300901473410603, + -0.5053972383352299, + -0.5763703231621978, + -0.6417688286815763, + -0.7004915475913929, + -0.7516109992634489, + -0.7944033127867488, + -0.8283728057276429, + -0.8532705666246899, + -0.8691065018356865, + -0.8761544742140666, + -0.8749503380179495, + -0.8662828569950392, + -0.8511776761398009, + -0.8308746975526401, + -0.8067993825941966, + -0.7805286617679772, + -0.7537522764345332, + -0.7282304989206079, + -0.7057492766965812, + -0.6880739194928488, + -0.6769024935906606, + -0.6738201038277448, + -0.6802552305986675, + -0.6974392465367677, + -0.726370166602773, + -0.7677815876485216, + -0.8221176515148281, + -0.8895147223141375, + -0.9697903072339334, + -1.0624395749213815, + -1.166639640574977, + -1.2812615968253303, + -1.4048900790227175, + -1.5358499673717672, + -1.6722396510765338, + -1.8119701156842178, + -1.9528089682261638, + -2.092428389212032, + -2.2284558991864114, + -2.35852675296584, + -2.480336728741946, + -2.5916940631640712, + -2.6905692977712823, + -2.775141846451092, + -2.8438421669437814, + -2.8953885200552043, + -2.92881742578204, + -2.9435070729720527, + -2.9391931048779663, + -2.9159763830037364, + -2.874322521618052, + -2.8150531806063688, + -2.739329300200219, + -2.6486266527944022, + -2.5447042698723594, + -2.4295664715567433, + -2.3054193783582306, + -2.1746229156115064, + -2.0396394276782774, + -1.9029800986766015, + -1.7671504273336527, + -1.6345960243335893, + -1.5076499907575696, + -1.3884830961502381, + -1.2790579054011724, + -1.181087906718983, + -1.096002570894923, + -1.0249191278091692, + -0.9686216832740467, + -0.9275481218355095, + -0.9017850534196178, + -0.8910708683146695, + -0.8948067706537486, + -0.9120754700542292, + -0.9416670290263344, + -0.9821111946127288, + -1.0317153905707452, + -1.0886074149381628, + -1.1507817801964244, + -1.2161485520322082, + -1.2825834898137625, + -1.3479782685539574, + -1.4102895688086152, + -1.4675858573932559, + -1.518090746998134, + -1.5602219150341519, + -1.5926246789794403, + -1.6141994641408972, + -1.6241225565880195, + -1.621859705106673, + -1.6071723170607568, + -1.580116179507069, + -1.5410328241246487, + -1.4905338378278368, + -1.4294785957738438, + -1.3589460555124067, + -1.2802013962485315, + -1.194658412017558, + -1.1038386689407174, + -1.0093285121667697, + -0.9127350557920497, + -0.8156423078665459, + -0.7195685721411605, + -0.6259262288290471, + -0.5359849294044111, + -0.45083914710561324, + -0.37138090775862603, + -0.29827838779629895, + -0.2319609114393562, + -0.1726107108748573, + -0.1201616361933805, + -0.07430482032547978, + -0.03450112285696434, + -2.995119200007167e-16 + ], + [ + 0, + 0.028990705596795053, + 0.05527715278241179, + 0.08012297446581064, + 0.10485450734970225, + 0.13081945889377586, + 0.15934481177732746, + 0.19169509742984814, + 0.22903216266703352, + 0.2723775170634699, + 0.3225782843084941, + 0.38027769003040973, + 0.44589090370399614, + 0.5195869161538428, + 0.6012769802457621, + 0.6906099744868995, + 0.7869748716545661, + 0.8895103117169972, + 0.9971210948075135, + 1.1085012305016768, + 1.2221630086669861, + 1.336471399042305, + 1.4496829454802018, + 1.559988200054819, + 1.6655566450990051, + 1.764582980201424, + 1.8553336081329792, + 1.9361921397526254, + 2.0057027536101746, + 2.0626102909249986, + 2.105896039849805, + 2.134808262696088, + 2.1488866437054357, + 2.1479799799950268, + 2.1322566009502744, + 2.102207177600618, + 2.0586397690668568, + 2.0026671434401893, + 1.93568660074748, + 1.8593527112657966, + 1.7755435587696005, + 1.6863212409435417, + 1.5938875241185801, + 1.5005356730649915, + 1.4085995756980614, + 1.3204013547140312, + 1.238198701527582, + 1.164133181288135, + 1.100180740804495, + 1.0481056042484271, + 1.009418665617194, + 0.9853413839065802, + 0.9767760592420291, + 0.9842832189083499, + 1.0080666749141507, + 1.0479666334776883, + 1.1034610460243717, + 1.1736751955790483, + 1.2573993165789696, + 1.3531138548935964, + 1.4590217928724367, + 1.573087295984396, + 1.6930797871601084, + 1.8166224259658188, + 1.9412438653625033, + 2.064432081572508, + 2.1836890243607128, + 2.2965848169980076, + 2.400810247734471, + 2.494226337440455, + 2.5749098401076322, + 2.6411936323568317, + 2.6917010725217803, + 2.7253735562066255, + 2.7414906598533673, + 2.7396824427635313, + 2.719933666809989, + 2.6825798871279187, + 2.628295561643038, + 2.5580745176296245, + 2.473203294951024, + 2.3752280538073585, + 2.2659158856193837, + 2.147211495468599, + 2.0211903301703567, + 1.8900093050578743, + 1.755856333040791, + 1.6208998803201298, + 1.4872397638732238, + 1.3568603667925447, + 1.2315873798313555, + 1.113049082842435, + 1.0026430606239585, + 0.901509107037837, + 0.8105089126966734, + 0.7302129590168056, + 0.6608948593346096, + 0.6025332006380005, + 0.5548207519457493, + 0.517180722144317, + 0.4887895757178088, + 0.4686057536037269, + 0.45540350235989097, + 0.4478108914843414, + 0.4443509991140632, + 0.4434851728650326, + 0.44365722703179095, + 0.443337420804268, + 0.441065074919995, + 0.4354887258535748, + 0.4254027861299557, + 0.40977977481653866, + 0.3877973012342789, + 0.35885912437629025, + 0.32260976687000237, + 0.2789423315814303, + 0.22799934683310355, + 0.17016664817333088, + 0.10606048607797391, + 0.03650822528689615, + -0.03747683179182485, + -0.11472581225993563, + -0.19394900991100017, + -0.27377405772592733, + -0.35278651089108565, + -0.4295717517493522, + -0.5027570922251129, + -0.5710529422486639, + -0.633291934741167, + -0.6884649482737484, + -0.7357530463305656, + -0.7745544552446416, + -0.8045058287567823, + -0.8254971926167678, + -0.8376801240499853, + -0.841468894195237, + -0.8375344824187229, + -0.8267915551695093, + -0.8103786841251477, + -0.7896322541798718, + -0.766054676899256, + -0.7412776752125046, + -0.7170215365123712, + -0.6950513406201659, + -0.6771312534349067, + -0.6649780343239529, + -0.6602149339047566, + -0.664327158003343, + -0.6786200431784662, + -0.7041810299321768, + -0.7418464329699567, + -0.7921738956976406, + -0.8554212812564455, + -0.9315325980815864, + -1.0201313879949934, + -1.1205218233766843, + -1.2316975714662532, + -1.3523582929727933, + -1.4809334536364056, + -1.6156129458563933, + -1.754383847487417, + -1.8950724906362406, + -2.0353908786195976, + -2.172986377543297, + -2.3054935230477507, + -2.4305867248207518, + -2.546032623002267, + -2.6497408523734713, + -2.7398120022660173, + -2.814581621733238, + -2.872659209252836, + -2.9129612419450153, + -2.9347374382158224, + -2.9375896065229297, + -2.921482607769353, + -2.886747145421815, + -2.8340742912931143, + -2.764501851309171, + -2.6793928697226987, + -2.5804067574092917, + -2.469463705529781, + -2.348703205685783, + -2.220437637840722, + -2.0871020043150184, + -1.9512009792445466, + -1.8152545058065597, + -1.6817432067444016, + -1.5530548764693624, + -1.4314332952358675, + -1.31893054827573, + -1.2173639467681336, + -1.1282785352377147, + -1.052916034180684, + -0.9921909107567358, + -0.9466740980829703, + -0.9165846992514665, + -0.901789820182496, + -0.9018124805187714, + -0.9158473587256365, + -0.9427839410971803, + -0.9812364690196662, + -1.0295799188712955, + -1.0859911082156355, + -1.1484939038685156, + -1.2150074148151553, + -1.283395988022439, + -1.3515197894413713, + -1.4172847467146767, + -1.4786906543412575, + -1.5338762956075818, + -1.581160517059223, + -1.6190782985485748, + -1.6464109922195238, + -1.662210053873276, + -1.6658137562164912, + -1.6568565513509264, + -1.6352709350664612, + -1.6012818534189377, + -1.5553938780249406, + -1.4983715558620034, + -1.4312135076733816, + -1.3551210021750395, + -1.2714618673711944, + -1.1817307121070264, + -1.087506517790434, + -0.9904087198967803, + -0.892052930011301, + -0.7940074510604331, + -0.6977517110661706, + -0.6046376849890379, + -0.5158552914800023, + -0.43240264378834486, + -0.35506190444060554, + -0.284381344933923, + -0.22066404836176287, + -0.16396351876861165, + -0.11408628053718305, + -0.07060136882835971, + -0.032856432642624465, + -2.86396857429828e-16 + ], + [ + 0, + 0.028036121486305535, + 0.05395968938509014, + 0.07907086691239305, + 0.10471037026396803, + 0.1322175604720771, + 0.16288841180106498, + 0.19793448823670975, + 0.23844403538322562, + 0.2853462423727391, + 0.3393796485258239, + 0.4010655644740418, + 0.47068724989752014, + 0.5482754431432717, + 0.6336006754639728, + 0.7261726285408592, + 0.8252466127124352, + 0.9298370594932167, + 1.038737740175993, + 1.150548247165017, + 1.2637061106248606, + 1.3765237742184437, + 1.4872295239410154, + 1.5940113566573686, + 1.6950626926859464, + 1.7886287817908073, + 1.8730526257071782, + 1.9468192435897005, + 2.008597139549691, + 2.0572758930174766, + 2.0919988815864667, + 2.1121902601403697, + 2.117575456673727, + 2.1081946009630546, + 2.0844084733219246, + 2.046896742878968, + 1.996648453667826, + 1.9349449076518932, + 1.8633352819042606, + 1.7836054978614795, + 1.6977410293787396, + 1.6078844890282993, + 1.5162889648859852, + 1.4252681896100148, + 1.3371447071672093, + 1.254197257974839, + 1.178608629063246, + 1.112415211412077, + 1.057459471903534, + 1.0153464831463799, + 0.9874055622577735, + 0.9746579517396737, + 0.9777913346828839, + 0.9971418160722405, + 1.0326838258330746, + 1.084028211722834, + 1.1504285957877294, + 1.2307958715997094, + 1.3237205256470752, + 1.4275022797937518, + 1.540186377191129, + 1.6596056756751727, + 1.7834275743696395, + 1.9092046843119295, + 2.0344280652184485, + 2.1565817901661455, + 2.2731975694468667, + 2.3819081648822635, + 2.4804983564508727, + 2.5669522834119296, + 2.6394960707178052, + 2.696634766205335, + 2.7371827520227456, + 2.760286951594755, + 2.765442327280108, + 2.752499349472336, + 2.7216633106917594, + 2.673485553499713, + 2.608846874065516, + 2.5289335492263043, + 2.4352066093723166, + 2.32936513822843, + 2.2133045197443924, + 2.08907066849728, + 1.9588113704680372, + 1.8247259236351943, + 1.689014301080773, + 1.5538270624988857, + 1.4212172131530538, + 1.2930951532013495, + 1.171187776378493, + 1.0570026674543518, + 0.951798215471566, + 0.8565603078533666, + 0.7719861028930122, + 0.6984751990962164, + 0.6361283338283672, + 0.5847535553647137, + 0.5438796264456099, + 0.5127762384235063, + 0.4904804474924056, + 0.4758285924584489, + 0.4674928207898972, + 0.46402123953379804, + 0.46388062279289605, + 0.4655005498711536, + 0.4673178192841869, + 0.4678199842368319, + 0.4655868848035567, + 0.4593291100863098, + 0.4479224085358623, + 0.4304371742024006, + 0.40616226810912937, + 0.3746225838542192, + 0.33558993111729846, + 0.2890869857881634, + 0.23538423650074156, + 0.1749900398500286, + 0.10863407586770231, + 0.03724466689088886, + -0.038079417566583326, + -0.11610190397819022, + -0.19548581644157403, + -0.27483314651020885, + -0.3527263256658127, + -0.42777038695499936, + -0.498634682969483, + -0.5640930370883186, + -0.6230612434954448, + -0.6746308979811391, + -0.7180986342736856, + -0.7529899573066849, + -0.7790770024830137, + -0.796389705191855, + -0.8052200336684723, + -0.8061191165080426, + -0.7998872792633265, + -0.7875571879506466, + -0.7703704763248335, + -0.749748403928972, + -0.72725724886211, + -0.7045692789442244, + -0.683420263923866, + -0.6655645865144582, + -0.6527290788956474, + -0.6465667520648618, + -0.6486115969587675, + -0.6602356182003147, + -0.682609214018254, + -0.7166659404174054, + -0.7630725958390179, + -0.82220543679229, + -0.8941331883127664, + -0.9786073491895335, + -1.0750601147176262, + -1.1826100536305546, + -1.3000754854377026, + -1.4259953143370272, + -1.5586568909016918, + -1.6961302974403143, + -1.836308291666045, + -1.9769510001027797, + -2.1157343310935524, + -2.2503009804146203, + -2.378312832793301, + -2.4975035218683703, + -2.6057299003976957, + -2.7010211921500082, + -2.781624646511445, + -2.8460465952485765, + -2.893087916244323, + -2.921873038842112, + -2.9318717765732303, + -2.922913441851533, + -2.8951928796095596, + -2.8492682483939906, + -2.7860505734806904, + -2.706785292340514, + -2.6130262035198664, + -2.506602411047922, + -2.3895790234337246, + -2.2642125151028827, + -2.1329017851194094, + -1.9981360501523864, + -1.8624407833946555, + -1.728322956709677, + -1.5982168585726606, + -1.4744317450263007, + -1.3591025352823982, + -1.254144688900111, + -1.1612142995056132, + -1.0816743132961082, + -1.0165676322100134, + -0.9665976952865268, + -0.9321169514614207, + -0.9131234472687915, + -0.9092655582835938, + -0.9198546984044201, + -0.9438856509925108, + -0.9800639850824763, + -1.0268398527583036, + -1.082447314397417, + -1.1449482104345696, + -1.2122794946641573, + -1.2823028673547583, + -1.3528554983970429, + -1.4218006124387002, + -1.4870767198336745, + -1.546744318860283, + -1.5990289649203722, + -1.6423596994935357, + -1.6754019530001807, + -1.6970841783428816, + -1.7066176321462687, + -1.703508894571655, + -1.6875649016863397, + -1.6588904521407755, + -1.6178783376672494, + -1.5651924299890132, + -1.5017442305739734, + -1.4286635499771796, + -1.347264126332879, + -1.2590051143665164, + -1.1654494741173362, + -1.0682203600166338, + -0.9689566543419751, + -0.869268803355873, + -0.7706960993608063, + -0.6746665079187082, + -0.5824600677735493, + -0.4951767934547983, + -0.41370988964762523, + -0.3387249452947731, + -0.2706456176508041, + -0.20964614616120777, + -0.15565085741795054, + -0.10834064008410323, + -0.06716618720825843, + -0.031367627363189175, + -2.749099969365357e-16 + ], + [ + 0, + 0.027281427490450743, + 0.053061084893357764, + 0.07866419200261046, + 0.10543397850464106, + 0.13468956203697446, + 0.16768434410944308, + 0.2055660456498208, + 0.2493394631621487, + 0.2998329578985898, + 0.35766959575867857, + 0.4232437372163853, + 0.49670373740807955, + 0.5779412600911282, + 0.6665875394394536, + 0.762016744854471, + 0.8633564206459803, + 0.9695047892064246, + 1.079154527796516, + 1.1908224598020798, + 1.3028844456076933, + 1.4136146200264823, + 1.521228006059298, + 1.6239254416417195, + 1.7199396893882608, + 1.807581560916558, + 1.885284878184093, + 1.951649114720488, + 2.005478609274689, + 2.0458173220740665, + 2.071978207764798, + 2.0835664066658457, + 2.0804956041223934, + 2.0629970728690052, + 2.031621091357794, + 1.987230617591737, + 1.930987288525138, + 1.864330004840854, + 1.78894654518487, + 1.70673882815569, + 1.619782600170305, + 1.5302824687687024, + 1.4405233204291736, + 1.352819256536234, + 1.2694612483703476, + 1.1926647501428067, + 1.1245185171619991, + 1.066935853911693, + 1.0216094646165164, + 0.9899709979716532, + 0.9731562700363499, + 0.971977017409772, + 0.9868998798967988, + 1.018033141624969, + 1.0651215761167474, + 1.1275495486070648, + 1.2043523325976346, + 1.2942354020343354, + 1.3956012703462566, + 1.5065832675289161, + 1.6250854808791582, + 1.7488279379324014, + 1.875395985199312, + 2.0022927164932844, + 2.126993232412419, + 2.2469994696437667, + 2.3598943262311014, + 2.4633938270822613, + 2.5553961223312047, + 2.6340261885162444, + 2.69767520698302, + 2.7450337229003323, + 2.7751178386208655, + 2.7872878631398947, + 2.781259020984848, + 2.757104014562534, + 2.7152474291348265, + 2.65645216442122, + 2.581798266585537, + 2.492654714433076, + 2.3906448796478825, + 2.277606528814442, + 2.1555473612221854, + 2.026597178012459, + 1.8929578526763944, + 1.7568523185018412, + 1.6204738042648208, + 1.4859365349729887, + 1.35522907024627, + 1.2301713801479113, + 1.1123766588452582, + 1.0032187529247831, + 0.9038059366444654, + 0.8149616045228795, + 0.7372122765059201, + 0.6707831269051613, + 0.6156010599634016, + 0.5713051669664986, + 0.53726421695802, + 0.5126006598606333, + 0.49622046145158755, + 0.4868479481099787, + 0.48306471902854653, + 0.4833515876015415, + 0.4861324442904442, + 0.48981889209021423, + 0.49285449372050816, + 0.4937574870674629, + 0.49116087168416867, + 0.48384884308172815, + 0.47078865117638713, + 0.45115708202921606, + 0.42436090477330723, + 0.39005078472280613, + 0.34812833504546853, + 0.2987461586991728, + 0.24230091503179252, + 0.17941962689077942, + 0.11093961968770097, + 0.037882649167659925, + -0.03857607453970631, + -0.11714312647922046, + -0.19644541904908513, + -0.27507102938647177, + -0.3516112047738653, + -0.42470241727848773, + -0.49306733621677074, + -0.5555536134775135, + -0.6111694315892385, + -0.659114846311195, + -0.6988080624135475, + -0.7299059105091587, + -0.7523179410616553, + -0.7662137152938397, + -0.7720230475378319, + -0.7704291351984339, + -0.7623546963604052, + -0.748941416513947, + -0.73152318030848, + -0.7115937272500931, + -0.6907695176894935, + -0.6707487235446293, + -0.6532673636839065, + -0.6400536840400864, + -0.6327819352398969, + -0.6330267244097587, + -0.64221911216279, + -0.6616055906315252, + -0.692211014566489, + -0.734806466473169, + -0.7898829206909859, + -0.8576314330382674, + -0.9379304255273162, + -1.0303404635401134, + -1.134106739976953, + -1.248169291752588, + -1.371180783289543, + -1.5015315040667019, + -1.6373810474784363, + -1.776695970716457, + -1.917292584281902, + -2.056883888848878, + -2.1931295698216267, + -2.3236878787704907, + -2.446268178068992, + -2.5586829018654162, + -2.6588976936565274, + -2.7450785180923942, + -2.8156346113901107, + -2.8692562293044994, + -2.9049462717451195, + -2.922045005956891, + -2.9202472722522415, + -2.899611733673831, + -2.8605619193765075, + -2.803879006367701, + -2.7306864807974223, + -2.6424270134563566, + -2.5408320698101026, + -2.427884948242963, + -2.305778096980311, + -2.176865696580861, + -2.0436126076143797, + -1.9085408694210213, + -1.7741749935859967, + -1.6429873235593366, + -1.5173447290365252, + -1.3994578703762064, + -1.2913342052942753, + -1.1947358188968646, + -1.111143041042358, + -1.0417246749309355, + -0.9873155011486622, + -0.9484015460558735, + -0.925113416701604, + -0.9172278109356576, + -0.9241771158072675, + -0.9450668144582958, + -0.9787002362409827, + -1.023610011227472, + -1.0780954328433132, + -1.1402647948589073, + -1.2080816547237512, + -1.279413886962393, + -1.3520843301581202, + -1.4239218003243796, + -1.4928112428699154, + -1.556741824822255, + -1.6138518276650322, + -1.6624692875262441, + -1.7011474413061352, + -1.7286941718077002, + -1.7441947986304494, + -1.7470277306405397, + -1.7368726759978201, + -1.71371129249705, + -1.6778203497065856, + -1.6297576603662087, + -1.5703412171177953, + -1.5006221374636488, + -1.4218521707561633, + -1.335446652303145, + -1.2429438981074497, + -1.1459621167058285, + -1.046154970030524, + -0.9451669418797305, + -0.8445896698630427, + -0.7459203647361422, + -0.6505233807370365, + -0.5595959134749279, + -0.47413869036152295, + -0.3949323853832349, + -0.32252033860070606, + -0.25719799499077933, + -0.19900930133382616, + -0.1477501182641035, + -0.1029785219484135, + -0.06403169076779626, + -0.0300489013834574, + -2.6516250255193145e-16 + ], + [ + 0, + 0.0267341539905712, + 0.0525909419830553, + 0.0789089220583691, + 0.10702192878764188, + 0.13821710132312182, + 0.1736940671999282, + 0.2145263841092456, + 0.26162628492425294, + 0.3157136873621495, + 0.3772903209529756, + 0.4466196931889628, + 0.5237134671357632, + 0.60832465816426, + 0.6999478819562153, + 0.7978267039747537, + 0.9009679567656835, + 1.0081627104149595, + 1.118013407815002, + 1.2289665144939748, + 1.3393498867547262, + 1.4474139354795672, + 1.551375559423522, + 1.6494637438154414, + 1.7399656696520576, + 1.8212721575573876, + 1.891921278120344, + 1.9506389981111194, + 1.9963757980696, + 2.028338289898731, + 2.0460149810455817, + 2.0491954717527494, + 2.0379825302989376, + 2.012796664237116, + 1.9743729891251156, + 1.9237503856022604, + 1.8622531262156854, + 1.7914653404202516, + 1.713198865022189, + 1.629455193556725, + 1.5423823875346594, + 1.454227941419308, + 1.367288698359538, + 1.2838589924437678, + 1.2061782435375594, + 1.1363792513058235, + 1.0764384252124042, + 1.0281291472955805, + 0.9929793952405652, + 0.9722346563362784, + 0.9668270406217638, + 0.9773513568336083, + 1.0040487511500173, + 1.0467983301497885, + 1.1051170001974264, + 1.1781675602269974, + 1.2647748883775738, + 1.363449869918743, + 1.4724205291000436, + 1.5896696554699425, + 1.7129780600358435, + 1.839972462162169, + 1.9681768976088985, + 2.095066454291697, + 2.218122087238666, + 2.334885239165215, + 2.443010998691493, + 2.540318564337153, + 2.624837848152245, + 2.6948511465612355, + 2.74892892540601, + 2.785958908342367, + 2.805167819186193, + 2.8061353055657055, + 2.7887997589873113, + 2.7534559405741, + 2.7007445175443285, + 2.631633808185441, + 2.5473942179526725, + 2.449566021884603, + 2.339921304594796, + 2.220421004894696, + 2.09316812435868, + 1.9603582451730293, + 1.8242285603819262, + 1.6870066478210735, + 1.550860217009541, + 1.4178490261964027, + 1.2898801055136786, + 1.1686673333731183, + 1.055696299141214, + 0.9521952486330506, + 0.8591127535291615, + 0.7771025753472287, + 0.7065160133646535, + 0.6474018384168129, + 0.5995137254621712, + 0.5623249119106023, + 0.5350496305671888, + 0.5166707000598435, + 0.5059725058917443, + 0.5015784754714898, + 0.5019920438027142, + 0.5056400255548209, + 0.5109172559345913, + 0.5162313383867763, + 0.5200463421973871, + 0.5209243273459171, + 0.5175636365103832, + 0.5088329833236706, + 0.4938004794975459, + 0.47175687835264557, + 0.4422324651659808, + 0.40500719167416077, + 0.36011382880425685, + 0.30783409375747367, + 0.24868789032730673, + 0.1834159801637152, + 0.1129565730715695, + 0.03841648204422645, + -0.038962370404954524, + -0.11784018750176702, + -0.19681927076436578, + -0.27448565419217685, + -0.3494512807034713, + -0.4203955864519687, + -0.48610537280501404, + -0.5455118887075882, + -0.5977241168167711, + -0.642057353400201, + -0.6780562921250722, + -0.7055119625020175, + -0.724472031352735, + -0.7352441462729963, + -0.7383921793630069, + -0.7347254129714644, + -0.7252808922122835, + -0.7112993469345543, + -0.6941952541473917, + -0.6755217663471758, + -0.656931367831553, + -0.640133236418212, + -0.626848379051321, + -0.6187636742105703, + -0.6174859901364669, + -0.6244975546550596, + -0.6411137295622448, + -0.6684442905874219, + -0.70735923410236, + -0.7584600258769435, + -0.8220570778652551, + -0.8981540893798199, + -0.9864397227385692, + -1.0862869046302013, + -1.196759857443819, + -1.3166287742644045, + -1.4443918618634108, + -1.5783042925097448, + -1.7164134323541118, + -1.8565995558122461, + -1.9966211157491331, + -2.1341635218506907, + -2.266890287324562, + -2.3924953393448156, + -2.5087552531181583, + -2.6135801640583582, + -2.705062137524421, + -2.781519830373362, + -2.841538361932198, + -2.8840034219315465, + -2.9081287768357105, + -2.9134764906275095, + -2.8999693477243267, + -2.8678951501555363, + -2.817902753942257, + -2.7509899060992042, + -2.6684831390424177, + -2.572010168675235, + -2.4634654214189644, + -2.3449694795878435, + -2.218823379776932, + -2.0874588217920502, + -1.953385443106937, + -1.8191363835099303, + -1.6872134048046268, + -1.5600328401841752, + -1.4398736269772963, + -1.3288286253903239, + -1.2287603459028529, + -1.1412621010832429, + -1.0676254663996425, + -1.0088147823303724, + -0.9654492604576193, + -0.9377930734135854, + -0.9257536170116366, + -0.928887937318222, + -0.9464171205792149, + -0.9772482545572628, + -1.0200033905740569, + -1.073054770737389, + -1.134565438459996, + -1.2025342259782779, + -1.2748440131402508, + -1.349312079620105, + -1.423741329621599, + -1.4959711550256083, + -1.5639267200493494, + -1.6256654973011868, + -1.6794199603890028, + -1.7236354400244274, + -1.7570022762630493, + -1.7784815459482382, + -1.7873238078949831, + -1.7830804847573567, + -1.7656076854551892, + -1.735062460877225, + -1.6918916736275866, + -1.636813845168958, + -1.5707945163144656, + -1.4950158153649524, + -1.4108410683772958, + -1.319775404641964, + -1.223423404549277, + -1.1234449043561416, + -1.0215101113238803, + -0.9192551923911805, + -0.818239479815067, + -0.7199053886354428, + -0.6255420646942201, + -0.5362536802554662, + -0.4529331696533345, + -0.3762420530355325, + -0.30659683585910313, + -0.24416229941680553, + -0.18885181770742007, + -0.1403346529781079, + -0.09805000089884644, + -0.06122738117091291, + -0.028912804855846266, + -2.5724874122318156e-16 + ], + [ + 0, + 0.026399826105570016, + 0.05255471841132148, + 0.07980471934335819, + 0.10946242811055305, + 0.1427715417940938, + 0.18086718078457992, + 0.2247390717805102, + 0.27519858884945847, + 0.332850554551019, + 0.3980705813043677, + 0.47098859111769054, + 0.5514789930589178, + 0.6391578264374264, + 0.7333869979079788, + 0.8332855571396247, + 0.937747772953486, + 1.0454675945496557, + 1.1549689151098514, + 1.2646409019307994, + 1.3727775222158634, + 1.4776202801837417, + 1.5774030921629552, + 1.6703981641413035, + 1.7549617024752122, + 1.8295782840714834, + 1.8929027375364418, + 1.9437984410091977, + 1.9813710243938882, + 2.0049965715214397, + 2.0143435487969428, + 2.009387837931935, + 1.9904204177235727, + 1.9580474194117936, + 1.9131824674950724, + 1.8570314083855175, + 1.7910697182163353, + 1.7170130637887058, + 1.63678166251507, + 1.5524592439935936, + 1.4662475536102075, + 1.3804174538484228, + 1.297257768879608, + 1.2190230802157898, + 1.1478817141202282, + 1.0858651641947796, + 1.0348201649469442, + 0.9963645747804629, + 0.9718481410818863, + 0.9623191079238497, + 0.9684974910581515, + 0.9907556885991152, + 1.0291069228777334, + 1.0832018235711607, + 1.1523332688826802, + 1.2354494049670872, + 1.3311745687527565, + 1.4378376505586172, + 1.5535072550456277, + 1.6760328564181077, + 1.8030910003702776, + 1.932235484557928, + 2.0609503543116676, + 2.186704483214795, + 2.30700647068091, + 2.419458581693641, + 2.521808477576365, + 2.611997540455987, + 2.6882046766466416, + 2.748884593479919, + 2.7927996774651564, + 2.819044755809077, + 2.8270641944823685, + 2.8166609700036687, + 2.787997544419695, + 2.741588568896141, + 2.67828563611614, + 2.5992544905645905, + 2.50594528416191, + 2.400056628268667, + 2.2834943378524164, + 2.158325886097798, + 2.026731685011717, + 1.8909543773137734, + 1.753247365476947, + 1.6158238142840662, + 1.4808073435245868, + 1.350185578051605, + 1.2257676446598336, + 1.109146601137094, + 1.0016676550371955, + 0.9044028814530313, + 0.8181329840664873, + 0.7433364661533606, + 0.6801863924662707, + 0.6285547336385728, + 0.588024096655441, + 0.5579064626934567, + 0.5372683817490715, + 0.5249619162036923, + 0.5196604866800937, + 0.5198986566337542, + 0.5241147999431836, + 0.5306955305419633, + 0.5380207364210977, + 0.5445080529571428, + 0.5486556325880787, + 0.5490821187271319, + 0.5445628101169026, + 0.5340611055394621, + 0.5167544452365862, + 0.4920541113162445, + 0.4596184111012398, + 0.41935894069723606, + 0.3714398066173409, + 0.3162698665187583, + 0.25448823134242393, + 0.1869434458113265, + 0.11466692791963495, + 0.03884139659444194, + -0.03923485361983889, + -0.11818686449481867, + -0.19660406367692196, + -0.27308234721373803, + -0.3462660631025164, + -0.4148887657015187, + -0.4778116416677001, + -0.534058567175009, + -0.582846842045165, + -0.6236127569299763, + -0.6560312820424439, + -0.6800293168115732, + -0.6957921054324775, + -0.7037625994241888, + -0.7046337305475889, + -0.6993337411717075, + -0.6890048997608239, + -0.6749761020130673, + -0.6587300189262095, + -0.6418655976082152, + -0.6260568452989422, + -0.6130089286276404, + -0.6044126959746754, + -0.6018987789503663, + -0.6069924481541747, + -0.621070387962115, + -0.645320515275713, + -0.6807058988541965, + -0.7279337406584759, + -0.7874302608512768, + -0.8593221866313329, + -0.9434253853867395, + -1.0392410086511001, + -1.1459593293187949, + -1.2624712650645649, + -1.3873873906061749, + -1.5190640550666443, + -1.6556360428663728, + -1.7950550517368, + -1.9351331137144248, + -2.073589958051826, + -2.2081032120679307, + -2.3363602596644575, + -2.4561105295176926, + -2.5652169670713056, + -2.661705456931047, + -2.743811004871625, + -2.8100195604430556, + -2.8591044604225044, + -2.8901565977320085, + -2.9026075669459708, + -2.8962452026099124, + -2.8712211062866855, + -2.828049948177844, + -2.7676005247195117, + -2.6910787499639888, + -2.600002951045133, + -2.4961720218939316, + -2.3816271601347574, + -2.2586080655849305, + -2.12950461125355, + -1.996805105956782, + -1.863042348994082, + -1.730738729781558, + -1.602351647636916, + -1.4802205185186232, + -1.3665165966517332, + -1.2631967705842093, + -1.1719623969917465, + -1.0942241138472368, + -1.0310734303785964, + -0.9832617280872303, + -0.9511871289843572, + -0.9348894984802708, + -0.9340536556450695, + -0.9480206676031047, + -0.9758069124057277, + -1.016130410533861, + -1.0674437536906047, + -1.1279728049131024, + -1.1957602099999678, + -1.2687126500416488, + -1.3446506810894259, + -1.4213599516834603, + -1.4966425633557667, + -1.568367343870777, + -1.6345178376582632, + -1.693236881683976, + -1.742866726230669, + -1.7819837763884832, + -1.8094271685286223, + -1.8243205531646718, + -1.8260866274453955, + -1.8144541427699363, + -1.7894573011209713, + -1.751427642989358, + -1.700978715511545, + -1.6389839870544085, + -1.5665486395691146, + -1.4849760185256842, + -1.395729648485116, + -1.300391827230423, + -1.2006198903160137, + -1.098101289012545, + -0.9945086467270056, + -0.8914559515976801, + -0.7904570063712528, + -0.692887191865967, + -0.5999495090160609, + -0.5126457490455089, + -0.4317535047016126, + -0.35780958118600464, + -0.2911001973853672, + -0.23165819049963404, + -0.17926725469744667, + -0.1334730616224814, + -0.09360093205877325, + -0.058779558355424706, + -0.027970120602576153, + -2.5124535087658795e-16 + ], + [ + 0, + 0.026281908277714323, + 0.05295366985326224, + 0.08134493223987314, + 0.11273539782232518, + 0.14831423666498675, + 0.18914189743652005, + 0.23611535132413877, + 0.2899377159789246, + 0.3510930942652949, + 0.4198273287086642, + 0.4961352204183323, + 0.5797545947424524, + 0.6701674191895256, + 0.7666079966884148, + 0.8680780736679949, + 0.9733685223641628, + 1.0810870847696563, + 1.1896915060981332, + 1.2975272425994495, + 1.402868805691199, + 1.50396370481584, + 1.599077877767296, + 1.6865414513858723, + 1.7647936587321873, + 1.8324257516313933, + 1.888220789600812, + 1.931189256676051, + 1.9605995548597785, + 1.9760025444906422, + 1.9772494448106976, + 1.9645025689014213, + 1.9382385420098034, + 1.899243836789458, + 1.8486026485794596, + 1.7876773238409394, + 1.7180817405528352, + 1.641648216114479, + 1.560388681706046, + 1.4764510080311162, + 1.3920714922442117, + 1.3095246164998897, + 1.2310712623910922, + 1.158906610672492, + 1.0951089708938229, + 1.0415907704385914, + 1.0000528872623677, + 0.9719434363818306, + 0.9584220186264141, + 0.960330313750574, + 0.9781697517527048, + 1.0120868297352599, + 1.0618664609017177, + 1.1269335517067476, + 1.2063628073901924, + 1.298896569900409, + 1.402970300330671, + 1.5167451351345307, + 1.6381467760154416, + 1.764909821638588, + 1.894626518895447, + 2.0247988055501964, + 2.152892437298706, + 2.27639194249934, + 2.3928551283043817, + 2.499965873104118, + 2.5955839818154534, + 2.6777909515787655, + 2.7449305941286393, + 2.7956435850561423, + 2.8288951563461704, + 2.843995313375046, + 2.8406111369586218, + 2.8187709206641753, + 2.778860088807548, + 2.7216090365868526, + 2.6480732258767574, + 2.5596060536476632, + 2.457825180324925, + 2.3445731585352014, + 2.2218733349000654, + 2.0918821056510035, + 1.9568386882725397, + 1.8190136242099677, + 1.6806572506908095, + 1.5439493724271833, + 1.4109513266588922, + 1.2835615686740716, + 1.1634758113279515, + 1.052152633563707, + 0.9507853325255539, + 0.8602806350797129, + 0.7812447114082317, + 0.7139767501433342, + 0.6584701658361857, + 0.6144213200980883, + 0.5812454522175576, + 0.5580993380390359, + 0.5439100317609366, + 0.5374088981153287, + 0.5371700157409419, + 0.5416519295478952, + 0.5492416529933523, + 0.55829977228154, + 0.5672054847066981, + 0.5744004130812755, + 0.5784300771032425, + 0.5779819695553979, + 0.5719192786333458, + 0.5593094150478775, + 0.5394466408255273, + 0.5118682524025459, + 0.4763639397048471, + 0.4329781211313582, + 0.38200523718805235, + 0.3239781683221061, + 0.25965012065333726, + 0.1899704922876347, + 0.11605538845387026, + 0.039153591901703234, + -0.03939108765734146, + -0.11818006775240684, + -0.19580176633240423, + -0.2708737697795473, + -0.3420842610186845, + -0.4082315915377204, + -0.46826092837598327, + -0.5212969818809083, + -0.5666719203996889, + -0.6039477015356057, + -0.6329321930495652, + -0.6536886163107601, + -0.6665380173657751, + -0.6720546508580504, + -0.6710543456376743, + -0.6645761033123798, + -0.6538573575843929, + -0.6403034885156225, + -0.6254523376376517, + -0.61093460320395, + -0.5984311064556944, + -0.5896280066663102, + -0.5861711026845045, + -0.5896203901223027, + -0.6014060453568233, + -0.6227869799891119, + -0.6548130529266363, + -0.6982919431488822, + -0.7537615764920698, + -0.8214688671072654, + -0.9013553818428348, + -0.9930503674125659, + -1.0958713999774297, + -1.2088327291378262, + -1.330661197945597, + -1.4598194321200064, + -1.5945358098722309, + -1.7328405531350275, + -1.8726071258202206, + -2.011597988873319, + -2.1475136487808837, + -2.278043848674546, + -2.400919691502307, + -2.5139654544560988, + -2.6151488537844223, + -2.7026285493679088, + -2.7747977383328695, + -2.8303227751313704, + -2.8681758698366946, + -2.8876610541520114, + -2.8884327624906274, + -2.8705065496407984, + -2.8342616527545843, + -2.780435299173774, + -2.71010885821199, + -2.624686129660434, + -2.5258642497298514, + -2.415597871796047, + -2.2960574403689424, + -2.1695825182209014, + -2.0386312451332067, + -1.9057270993534194, + -1.7734041973391672, + -1.6441524021220522, + -1.520363514811667, + -1.404279797277811, + -1.2979460175499884, + -1.2031661243462641, + -1.121465545474689, + -1.0540599693771473, + -1.0018313131249468, + -0.965311407544178, + -0.944673745069637, + -0.9397334429213414, + -0.9499553779803074, + -0.9744702550963121, + -1.012098182231264, + -1.061379148407933, + -1.1206096382017108, + -1.1878844734093632, + -1.2611428520042398, + -1.3382174594321368, + -1.4168854599748315, + -1.4949201378815398, + -1.5701419500910971, + -1.6404677747433503, + -1.7039571916657081, + -1.758854711249624, + -1.8036269745378593, + -1.8369940772198101, + -1.8579543202994508, + -1.8658018566856955, + -1.8601368816885313, + -1.8408682019221552, + -1.8082082067719505, + -1.7626604546618847, + -1.7050002681987304, + -1.6362489033714773, + -1.5576420141271639, + -1.470593270988988, + -1.3766541075659204, + -1.2774706590220477, + -1.1747390196537526, + -1.0701599811706344, + -0.9653944183167875, + -0.8620204640645834, + -0.7614935634608138, + -0.6651104147214083, + -0.573977700453555, + -0.48898638365933167, + -0.41079219572942477, + -0.3398027807322268, + -0.27617178608898624, + -0.21980000862357485, + -0.17034352157818217, + -0.12722852713812446, + -0.08967250489027649, + -0.056711063852684616, + -0.027229758370786658, + -2.472104830677019e-16 + ], + [ + 0, + 0.026381769213302823, + 0.05378483429113204, + 0.08351665392825176, + 0.11681265980530947, + 0.15479689224477444, + 0.19844562736306048, + 0.24855498329475217, + 0.30571339086518784, + 0.370279689015338, + 0.44236746049081915, + 0.5218360624467642, + 0.6082886337515604, + 0.7010771802606794, + 0.799314655739392, + 0.9018937740852941, + 1.007512112649841, + 1.1147029012450915, + 1.2218707410492082, + 1.327331365927142, + 1.4293544490339771, + 1.5262083727924882, + 1.6162058226397198, + 1.6977490358511966, + 1.7693735370931347, + 1.8297892222050995, + 1.8779177104218945, + 1.9129249714252203, + 1.9342483452043129, + 1.94161720699298, + 1.9350666832583263, + 1.9149439940724489, + 1.8819071780326355, + 1.8369161437427268, + 1.7812161820784205, + 1.7163142613128644, + 1.6439486080043497, + 1.5660522458372412, + 1.4847113181286193, + 1.402119153615726, + 1.3205271460499415, + 1.2421936032301253, + 1.1693317782319521, + 1.1040583232381505, + 1.048343403779186, + 1.0039636783322337, + 0.9724592858214836, + 0.9550958930677448, + 0.9528327377970812, + 0.9662974632261608, + 0.9957683808595075, + 1.041164622815926, + 1.1020444580002025, + 1.1776118522964159, + 1.2667311564065338, + 1.3679496107824995, + 1.4795271700386048, + 1.5994729738503264, + 1.72558763193023, + 1.8555103511168352, + 1.9867698163307854, + 2.1168376469868346, + 2.243183188606258, + 2.363328367363242, + 2.4749013339035897, + 2.5756876520267804, + 2.6636778470056552, + 2.7371102159819563, + 2.794507916873286, + 2.8347094897683447, + 2.8568921225061272, + 2.860587146175039, + 2.84568743237491, + 2.8124465577134097, + 2.7614697974326012, + 2.693697204492393, + 2.610379218140985, + 2.513045422414796, + 2.403467235851447, + 2.28361545507792, + 2.155613693443875, + 2.021688848667439, + 1.884119798343992, + 1.745185557624355, + 1.607114138611856, + 1.4720333260164924, + 1.3419245290442476, + 1.2185807868217367, + 1.103569895983347, + 0.9982034971390882, + 0.9035128051239161, + 0.8202315000153751, + 0.7487861160977177, + 0.6892940787339157, + 0.641569349141872, + 0.6051354490754974, + 0.5792454560423046, + 0.5629083894298287, + 0.5549212529593687, + 0.553905863043561, + 0.5583494792160169, + 0.5666481645825493, + 0.5771517433363683, + 0.5882091902202569, + 0.5982132841227736, + 0.6056433847411148, + 0.6091052466725619, + 0.6073668679357405, + 0.5993894776197579, + 0.5843528973376678, + 0.5616746600906695, + 0.5310224342310194, + 0.49231947527046743, + 0.4457430098727862, + 0.3917156398913766, + 0.33089003512013826, + 0.26412735694592426, + 0.19247001693916466, + 0.11710952050887631, + 0.03935027239182075, + -0.039429675252411304, + -0.11781987263155229, + -0.194419609001581, + -0.2678798023086054, + -0.3369435140565825, + -0.4004839968359665, + -0.4575392452093218, + -0.5073421104088901, + -0.5493451532969232, + -0.5832395453991699, + -0.6089674811324358, + -0.6267277317407476, + -0.6369741487057218, + -0.6404071070273049, + -0.6379580621626705, + -0.6307675739210074, + -0.620157321688602, + -0.6075967936564866, + -0.594665474210743, + -0.5830114747081333, + -0.5743076503885216, + -0.5702063176469526, + -0.5722937294276896, + -0.5820454809317155, + -0.6007840026967223, + -0.6296392537021561, + -0.6695136544919051, + -0.7210522011226417, + -0.7846185774320227, + -0.8602779386806986, + -0.94778687759209, + -1.0465909081771603, + -1.155829617818962, + -1.274349448475441, + -1.4007238782381182, + -1.5332805895689197, + -1.670135034932099, + -1.809229648625819, + -1.9483778094532294, + -2.0853115360785175, + -2.2177317985919807, + -2.343360258462715, + -2.4599912065303555, + -2.56554245611215, + -2.658103966074567, + -2.7359830164896417, + -2.7977448361729396, + -2.8422476851773513, + -2.868671523719386, + -2.8765395489559062, + -2.8657320488893334, + -2.8364922043921728, + -2.789423661495109, + -2.7254798920274506, + -2.6459455566619705, + -2.5524102756195988, + -2.4467353940671055, + -2.3310144971535642, + -2.2075285795763, + -2.078696902878858, + -1.9470246772249453, + -1.8150487806318272, + -1.6852827757186795, + -1.5601625007810282, + -1.4419934980311533, + -1.3329014974915343, + -1.2347871013796807, + -1.1492857126829383, + -1.0777336254671248, + -1.0211410463799147, + -0.9801726504222169, + -0.9551360934352939, + -0.9459787133024548, + -0.9522924562412151, + -0.9733268685370485, + -1.008009802419794, + -1.0549753021714654, + -1.1125979674152247, + -1.1790329389680263, + -1.2522605223047858, + -1.3301343577133082, + -1.4104319671467576, + -1.4909064574670232, + -1.56933813937192, + -1.6435848312257695, + -1.7116296569335088, + -1.7716252158414776, + -1.821933098630584, + -1.861157843841821, + -1.8881745719860143, + -1.9021496945593828, + -1.9025542696941027, + -1.889169760260715, + -1.8620861394196604, + -1.8216924781888306, + -1.7686603348510443, + -1.7039204423849457, + -1.6286333532125363, + -1.5441548464025283, + -1.451997027476074, + -1.3537861520816383, + -1.251218279592646, + -1.1460139093504067, + -1.039872769746414, + -0.9344299182647956, + -0.8312142693785631, + -0.7316105979315966, + -0.6368259701611584, + -0.5478614352950376, + -0.46548967075584197, + -0.39023911699871994, + -0.32238496789768745, + -0.26194720370263175, + -0.20869567045143464, + -0.16216202697824383, + -0.1216582029330625, + -0.08630084301176724, + -0.05504105813868435, + -0.02669866754523367, + -2.451832280263886e-16 + ], + [ + 0, + 0.02669866754523276, + 0.05504105813868367, + 0.08630084301176683, + 0.12165820293306212, + 0.16216202697824228, + 0.20869567045143347, + 0.261947203702631, + 0.322384967897685, + 0.3902391169987184, + 0.46548967075584163, + 0.5478614352950345, + 0.6368259701611545, + 0.7316105979315941, + 0.8312142693785607, + 0.9344299182647925, + 1.0398727697464123, + 1.1460139093504067, + 1.2512182795926432, + 1.3537861520816354, + 1.4519970274760723, + 1.544154846402526, + 1.6286333532125346, + 1.7039204423849454, + 1.7686603348510426, + 1.82169247818883, + 1.8620861394196615, + 1.889169760260716, + 1.9025542696941022, + 1.902149694559385, + 1.8881745719860175, + 1.8611578438418233, + 1.8219330986305842, + 1.7716252158414811, + 1.7116296569335165, + 1.643584831225769, + 1.5693381393719228, + 1.4909064574670299, + 1.4104319671467616, + 1.3301343577133093, + 1.2522605223047893, + 1.1790329389680323, + 1.1125979674152238, + 1.0549753021714678, + 1.008009802419796, + 0.9733268685370501, + 0.9522924562412155, + 0.945978713302455, + 0.9551360934352934, + 0.9801726504222168, + 1.0211410463799138, + 1.0777336254671224, + 1.1492857126829352, + 1.2347871013796745, + 1.33290149749153, + 1.441993498031146, + 1.5601625007810231, + 1.6852827757186777, + 1.8150487806318212, + 1.947024677224943, + 2.0786969028788524, + 2.207528579576295, + 2.331014497153559, + 2.446735394067101, + 2.5524102756195974, + 2.645945556661966, + 2.7254798920274452, + 2.789423661495106, + 2.836492204392171, + 2.865732048889332, + 2.876539548955906, + 2.868671523719387, + 2.8422476851773517, + 2.797744836172942, + 2.735983016489644, + 2.6581039660745676, + 2.5655424561121545, + 2.4599912065303573, + 2.3433602584627145, + 2.217731798591989, + 2.0853115360785233, + 1.9483778094532345, + 1.8092296486258248, + 1.670135034932105, + 1.5332805895689217, + 1.40072387823812, + 1.2743494484754483, + 1.1558296178189635, + 1.0465909081771643, + 0.9477868775920916, + 0.8602779386807011, + 0.7846185774320251, + 0.7210522011226437, + 0.6695136544919075, + 0.6296392537021572, + 0.6007840026967225, + 0.5820454809317158, + 0.5722937294276892, + 0.5702063176469521, + 0.5743076503885209, + 0.5830114747081329, + 0.5946654742107421, + 0.6075967936564861, + 0.6201573216886003, + 0.630767573921005, + 0.63795806216267, + 0.6404071070273041, + 0.6369741487057224, + 0.6267277317407463, + 0.6089674811324358, + 0.583239545399169, + 0.5493451532969227, + 0.5073421104088909, + 0.45753924520932165, + 0.4004839968359682, + 0.3369435140565829, + 0.2678798023086061, + 0.19441960900158298, + 0.11781987263155302, + 0.03942967525241338, + -0.039350272391818694, + -0.11710952050887563, + -0.19247001693916277, + -0.2641273569459236, + -0.330890035120138, + -0.39171563989137503, + -0.44574300987278637, + -0.4923194752704673, + -0.5310224342310199, + -0.5616746600906704, + -0.584352897337668, + -0.5993894776197592, + -0.60736686793574, + -0.6091052466725627, + -0.6056433847411152, + -0.5982132841227747, + -0.5882091902202585, + -0.5771517433363699, + -0.5666481645825511, + -0.5583494792160172, + -0.5539058630435616, + -0.5549212529593688, + -0.562908389429829, + -0.579245456042304, + -0.6051354490754967, + -0.6415693491418699, + -0.6892940787339137, + -0.7487861160977157, + -0.8202315000153725, + -0.9035128051239133, + -0.9982034971390865, + -1.1035698959833429, + -1.218580786821735, + -1.3419245290442428, + -1.4720333260164904, + -1.6071141386118508, + -1.745185557624349, + -1.8841197983439835, + -2.0216888486674347, + -2.155613693443869, + -2.283615455077915, + -2.403467235851446, + -2.513045422414793, + -2.6103792181409813, + -2.6936972044923913, + -2.7614697974325995, + -2.8124465577134083, + -2.84568743237491, + -2.860587146175039, + -2.8568921225061277, + -2.8347094897683474, + -2.7945079168732883, + -2.7371102159819594, + -2.6636778470056584, + -2.575687652026785, + -2.4749013339035946, + -2.3633283673632466, + -2.24318318860626, + -2.1168376469868404, + -1.9867698163307945, + -1.8555103511168407, + -1.7255876319302355, + -1.5994729738503317, + -1.4795271700386097, + -1.3679496107825013, + -1.2667311564065376, + -1.1776118522964216, + -1.1020444580002056, + -1.0411646228159297, + -0.9957683808595089, + -0.9662974632261612, + -0.9528327377970812, + -0.9550958930677441, + -0.9724592858214831, + -1.0039636783322317, + -1.048343403779182, + -1.1040583232381478, + -1.169331778231951, + -1.2421936032301217, + -1.320527146049935, + -1.402119153615722, + -1.4847113181286153, + -1.5660522458372346, + -1.6439486080043457, + -1.7163142613128635, + -1.7812161820784171, + -1.836916143742726, + -1.8819071780326329, + -1.9149439940724464, + -1.9350666832583234, + -1.9416172069929778, + -1.9342483452043135, + -1.9129249714252212, + -1.877917710421895, + -1.8297892222051, + -1.7693735370931367, + -1.6977490358511975, + -1.616205822639722, + -1.5262083727924909, + -1.4293544490339793, + -1.3273313659271433, + -1.2218707410492116, + -1.1147029012450924, + -1.0075121126498436, + -0.9018937740852986, + -0.7993146557393952, + -0.7010771802606824, + -0.6082886337515625, + -0.5218360624467672, + -0.44236746049082, + -0.37027968901533986, + -0.3057133908651904, + -0.24855498329475303, + -0.19844562736306176, + -0.1547968922447755, + -0.11681265980530951, + -0.08351665392825221, + -0.053784834291132705, + -0.026381769213303704, + -2.451832280263885e-16 + ], + [ + 0, + 0.02722975837078571, + 0.0567110638526839, + 0.08967250489027606, + 0.1272285271381245, + 0.17034352157818114, + 0.2198000086235736, + 0.27617178608898546, + 0.33980278073222425, + 0.41079219572942316, + 0.4889863836593312, + 0.5739777004535519, + 0.6651104147214068, + 0.7614935634608114, + 0.8620204640645808, + 0.9653944183167844, + 1.0701599811706328, + 1.1747390196537526, + 1.277470659022045, + 1.3766541075659193, + 1.4705932709889864, + 1.5576420141271619, + 1.636248903371476, + 1.70500026819873, + 1.7626604546618834, + 1.80820820677195, + 1.8408682019221545, + 1.8601368816885306, + 1.8658018566856953, + 1.8579543202994533, + 1.8369940772198134, + 1.8036269745378612, + 1.7588547112496244, + 1.7039571916657068, + 1.640467774743352, + 1.5701419500910967, + 1.4949201378815427, + 1.4168854599748382, + 1.3382174594321405, + 1.261142852004241, + 1.1878844734093663, + 1.1206096382017117, + 1.0613791484079322, + 1.012098182231266, + 0.9744702550963138, + 0.9499553779803086, + 0.9397334429213414, + 0.9446737450696367, + 0.9653114075441777, + 1.001831313124947, + 1.0540599693771464, + 1.121465545474686, + 1.2031661243462604, + 1.2979460175499817, + 1.4042797972778065, + 1.5203635148116654, + 1.6441524021220466, + 1.7734041973391648, + 1.9057270993534137, + 2.0386312451332045, + 2.1695825182208957, + 2.296057440368937, + 2.4155978717960487, + 2.5258642497298465, + 2.6246861296604327, + 2.7101088582119863, + 2.7804352991737735, + 2.8342616527545816, + 2.8705065496407967, + 2.8884327624906265, + 2.887661054152012, + 2.868175869836694, + 2.8303227751313713, + 2.774797738332871, + 2.702628549367912, + 2.6151488537844227, + 2.513965454456103, + 2.4009196915023083, + 2.2780438486745456, + 2.147513648780889, + 2.0115979888733215, + 1.8726071258202257, + 1.7328405531350333, + 1.5945358098722366, + 1.4598194321200086, + 1.330661197945596, + 1.2088327291378307, + 1.0958713999774292, + 0.9930503674125698, + 0.9013553818428346, + 0.8214688671072677, + 0.753761576492071, + 0.6982919431488837, + 0.6548130529266377, + 0.6227869799891127, + 0.6014060453568235, + 0.5896203901223026, + 0.5861711026845037, + 0.5896280066663103, + 0.5984311064556934, + 0.6109346032039507, + 0.6254523376376506, + 0.6403034885156219, + 0.653857357584391, + 0.6645761033123787, + 0.6710543456376752, + 0.6720546508580496, + 0.6665380173657768, + 0.6536886163107588, + 0.6329321930495662, + 0.6039477015356048, + 0.566671920399689, + 0.5212969818809092, + 0.46826092837598327, + 0.4082315915377224, + 0.342084261018685, + 0.27087376977954813, + 0.19580176633240623, + 0.1181800677524076, + 0.039391087657343525, + -0.039153591901701194, + -0.11605538845386953, + -0.18997049228763288, + -0.2596501206533365, + -0.3239781683221058, + -0.38200523718805035, + -0.4329781211313585, + -0.4763639397048464, + -0.5118682524025459, + -0.5394466408255282, + -0.5593094150478767, + -0.5719192786333472, + -0.5779819695553963, + -0.5784300771032433, + -0.5744004130812747, + -0.567205484706699, + -0.5582997722815415, + -0.5492416529933526, + -0.5416519295478959, + -0.5371700157409415, + -0.5374088981153289, + -0.5439100317609362, + -0.5580993380390359, + -0.5812454522175567, + -0.6144213200980877, + -0.658470165836184, + -0.7139767501433318, + -0.7812447114082293, + -0.8602806350797114, + -0.9507853325255506, + -1.0521526335637073, + -1.1634758113279469, + -1.283561568674072, + -1.4109513266588871, + -1.543949372427184, + -1.6806572506908077, + -1.8190136242099622, + -1.9568386882725342, + -2.091882105650999, + -2.221873334900063, + -2.3445731585351965, + -2.4578251803249254, + -2.5596060536476624, + -2.6480732258767548, + -2.721609036586852, + -2.778860088807546, + -2.8187709206641745, + -2.840611136958622, + -2.843995313375045, + -2.8288951563461717, + -2.795643585056144, + -2.744930594128642, + -2.6777909515787686, + -2.595583981815454, + -2.4999658731041223, + -2.3928551283043835, + -2.276391942499345, + -2.152892437298705, + -2.024798805550202, + -1.8946265188954525, + -1.76490982163859, + -1.6381467760154467, + -1.5167451351345327, + -1.4029703003306755, + -1.2988965699004102, + -1.206362807390196, + -1.1269335517067522, + -1.0618664609017199, + -1.0120868297352619, + -0.9781697517527055, + -0.9603303137505741, + -0.9584220186264143, + -0.9719434363818296, + -1.000052887262367, + -1.041590770438589, + -1.09510897089382, + -1.1589066106724888, + -1.2310712623910933, + -1.3095246164998884, + -1.392071492244208, + -1.476451008031115, + -1.5603886817060417, + -1.641648216114472, + -1.7180817405528321, + -1.7876773238409398, + -1.8486026485794578, + -1.8992438367894595, + -1.9382385420098034, + -1.9645025689014197, + -1.9772494448106959, + -1.9760025444906408, + -1.9605995548597792, + -1.9311892566760522, + -1.8882207896008127, + -1.8324257516313942, + -1.76479365873219, + -1.6865414513858727, + -1.5990778777672983, + -1.5039637048158423, + -1.4028688056912013, + -1.2975272425994504, + -1.1896915060981361, + -1.0810870847696565, + -0.9733685223641648, + -0.8680780736679983, + -0.7666079966884171, + -0.6701674191895279, + -0.5797545947424538, + -0.49613522041833513, + -0.41982732870866446, + -0.3510930942652963, + -0.2899377159789268, + -0.23611535132413944, + -0.18914189743652104, + -0.14831423666498764, + -0.11273539782232518, + -0.0813449322398735, + -0.05295366985326285, + -0.026281908277715184, + -2.472104830677017e-16 + ], + [ + 0, + 0.027970120602575168, + 0.05877955835542394, + 0.09360093205877276, + 0.13347306162248096, + 0.17926725469744487, + 0.2316581904996327, + 0.29110019738536635, + 0.357809581186002, + 0.43175350470161095, + 0.5126457490455084, + 0.5999495090160579, + 0.6928871918659634, + 0.7904570063712506, + 0.8914559515976775, + 0.9945086467270026, + 1.0981012890125432, + 1.2006198903160135, + 1.3003918272304205, + 1.3957296484851138, + 1.4849760185256833, + 1.5665486395691128, + 1.6389839870544074, + 1.7009787155115446, + 1.751427642989357, + 1.789457301120971, + 1.8144541427699379, + 1.8260866274453977, + 1.8243205531646713, + 1.809427168528625, + 1.7819837763884867, + 1.7428667262306714, + 1.6932368816839765, + 1.634517837658267, + 1.5683673438707846, + 1.4966425633557663, + 1.4213599516834632, + 1.344650681089432, + 1.2687126500416523, + 1.195760209999969, + 1.1279728049131053, + 1.0674437536906094, + 1.0161304105338602, + 0.9758069124057294, + 0.9480206676031057, + 0.9340536556450703, + 0.9348894984802708, + 0.9511871289843562, + 0.983261728087228, + 1.031073430378597, + 1.0942241138472357, + 1.171962396991743, + 1.2631967705842053, + 1.3665165966517256, + 1.4802205185186184, + 1.6023516476369075, + 1.7307387297815522, + 1.8630423489940797, + 1.9968051059567762, + 2.1295046112535476, + 2.258608065584925, + 2.381627160134752, + 2.4961720218939267, + 2.6000029510451284, + 2.691078749963987, + 2.7676005247195086, + 2.8280499481778403, + 2.8712211062866837, + 2.896245202609912, + 2.9026075669459708, + 2.8901565977320094, + 2.859104460422505, + 2.810019560443057, + 2.743811004871629, + 2.6617054569310508, + 2.565216967071307, + 2.456110529517697, + 2.3363602596644593, + 2.2081032120679325, + 2.0735899580518344, + 1.9351331137144303, + 1.7950550517368056, + 1.6556360428663783, + 1.5190640550666499, + 1.3873873906061769, + 1.2624712650645666, + 1.1459593293188015, + 1.0392410086511017, + 0.9434253853867428, + 0.8593221866313341, + 0.7874302608512788, + 0.7279337406584777, + 0.6807058988541976, + 0.6453205152757141, + 0.6210703879621154, + 0.6069924481541746, + 0.6018987789503658, + 0.6044126959746745, + 0.6130089286276393, + 0.626056845298941, + 0.6418655976082145, + 0.6587300189262082, + 0.6749761020130669, + 0.689004899760822, + 0.699333741171705, + 0.7046337305475886, + 0.7037625994241882, + 0.6957921054324783, + 0.680029316811572, + 0.6560312820424441, + 0.6236127569299756, + 0.5828468420451646, + 0.53405856717501, + 0.4778116416677002, + 0.4148887657015205, + 0.34626606310251684, + 0.27308234721373875, + 0.19660406367692398, + 0.11818686449481942, + 0.03923485361984097, + -0.038841396594439935, + -0.11466692791963431, + -0.18694344581132472, + -0.2544882313424234, + -0.31626986651875816, + -0.37143980661733933, + -0.41935894069723634, + -0.4596184111012399, + -0.4920541113162454, + -0.5167544452365872, + -0.5340611055394623, + -0.5445628101169039, + -0.5490821187271314, + -0.5486556325880795, + -0.5445080529571431, + -0.5380207364210985, + -0.5306955305419647, + -0.5241147999431847, + -0.5198986566337556, + -0.5196604866800939, + -0.5249619162036924, + -0.5372683817490713, + -0.5579064626934561, + -0.5880240966554394, + -0.6285547336385715, + -0.6801863924662676, + -0.743336466153358, + -0.8181329840664846, + -0.9044028814530278, + -1.001667655037192, + -1.1091466011370923, + -1.225767644659829, + -1.3501855780516032, + -1.4808073435245817, + -1.615823814284064, + -1.7532473654769418, + -1.8909543773137678, + -2.0267316850117094, + -2.1583258860977934, + -2.283494337852412, + -2.400056628268662, + -2.5059452841619083, + -2.599254490564588, + -2.678285636116138, + -2.74158856889614, + -2.7879975444196945, + -2.8166609700036687, + -2.827064194482369, + -2.8190447558090774, + -2.792799677465158, + -2.748884593479923, + -2.6882046766466448, + -2.6119975404559908, + -2.521808477576369, + -2.4194585816936454, + -2.3070064706809155, + -2.1867044832148, + -2.06095035431167, + -1.9322354845579337, + -1.8030910003702867, + -1.6760328564181128, + -1.5535072550456328, + -1.4378376505586221, + -1.331174568752761, + -1.2354494049670885, + -1.1523332688826833, + -1.083201823571165, + -1.0291069228777352, + -0.9907556885991169, + -0.9684974910581522, + -0.9623191079238496, + -0.9718481410818856, + -0.9963645747804615, + -1.0348201649469433, + -1.0858651641947765, + -1.147881714120223, + -1.2190230802157864, + -1.2972577688796065, + -1.3804174538484189, + -1.4662475536102006, + -1.5524592439935907, + -1.636781662515066, + -1.717013063788699, + -1.7910697182163309, + -1.8570314083855166, + -1.9131824674950695, + -1.9580474194117927, + -1.990420417723571, + -2.009387837931933, + -2.0143435487969406, + -2.0049965715214384, + -1.9813710243938891, + -1.9437984410091993, + -1.8929027375364424, + -1.8295782840714845, + -1.754961702475215, + -1.6703981641413046, + -1.577403092162958, + -1.4776202801837444, + -1.3727775222158662, + -1.2646409019308007, + -1.154968915109855, + -1.0454675945496563, + -0.9377477729534887, + -0.8332855571396293, + -0.7333869979079817, + -0.6391578264374292, + -0.5514789930589197, + -0.4709885911176932, + -0.3980705813043684, + -0.3328505545510206, + -0.27519858884946075, + -0.22473907178051097, + -0.18086718078458097, + -0.14277154179409465, + -0.1094624281105531, + -0.07980471934335857, + -0.05255471841132206, + -0.026399826105570855, + -2.512453508765876e-16 + ], + [ + 0, + 0.02891280485584524, + 0.06122738117091213, + 0.09805000089884594, + 0.140334652978108, + 0.188851817707419, + 0.24416229941680412, + 0.30659683585910236, + 0.37624205303552977, + 0.4529331696533329, + 0.5362536802554658, + 0.6255420646942169, + 0.7199053886354411, + 0.8182394798150647, + 0.9192551923911783, + 1.0215101113238776, + 1.12344490435614, + 1.2234234045492767, + 1.3197754046419619, + 1.4108410683772952, + 1.4950158153649515, + 1.570794516314464, + 1.6368138451689571, + 1.6918916736275869, + 1.7350624608772243, + 1.7656076854551892, + 1.7830804847573567, + 1.7873238078949834, + 1.7784815459482384, + 1.757002276263052, + 1.7236354400244318, + 1.6794199603890057, + 1.6256654973011877, + 1.5639267200493479, + 1.4959711550256107, + 1.4237413296215988, + 1.3493120796201092, + 1.2748440131402572, + 1.2025342259782812, + 1.134565438459997, + 1.0730547707373919, + 1.0200033905740578, + 0.9772482545572624, + 0.9464171205792163, + 0.9288879373182224, + 0.9257536170116372, + 0.9377930734135856, + 0.9654492604576177, + 1.0088147823303717, + 1.0676254663996434, + 1.1412621010832416, + 1.2287603459028493, + 1.3288286253903197, + 1.4398736269772885, + 1.5600328401841703, + 1.687213404804625, + 1.819136383509925, + 1.9533854431069348, + 2.087458821792045, + 2.2188233797769303, + 2.3449694795878386, + 2.46346542141896, + 2.572010168675236, + 2.6684831390424146, + 2.7509899060992034, + 2.8179027539422545, + 2.867895150155536, + 2.8999693477243254, + 2.913476490627509, + 2.908128776835711, + 2.8840034219315487, + 2.841538361932198, + 2.7815198303733637, + 2.7050621375244224, + 2.6135801640583622, + 2.50875525311816, + 2.392495339344821, + 2.266890287324564, + 2.1341635218506902, + 1.9966211157491391, + 1.8565995558122494, + 1.7164134323541171, + 1.5783042925097506, + 1.4443918618634166, + 1.3166287742644065, + 1.1967598574438183, + 1.0862869046302057, + 0.9864397227385687, + 0.8981540893798232, + 0.8220570778652548, + 0.7584600258769454, + 0.7073592341023608, + 0.6684442905874226, + 0.6411137295622455, + 0.6244975546550598, + 0.6174859901364669, + 0.6187636742105698, + 0.6268483790513196, + 0.6401332364182122, + 0.6569313678315517, + 0.6755217663471766, + 0.6941952541473904, + 0.711299346934554, + 0.7252808922122816, + 0.7347254129714634, + 0.738392179363008, + 0.7352441462729958, + 0.7244720313527367, + 0.7055119625020163, + 0.6780562921250735, + 0.6420573534002003, + 0.5977241168167713, + 0.5455118887075895, + 0.4861053728050142, + 0.4203955864519707, + 0.34945128070347187, + 0.27448565419217763, + 0.19681927076436787, + 0.11784018750176778, + 0.03896237040495659, + -0.03841648204422446, + -0.11295657307156885, + -0.18341598016371344, + -0.24868789032730593, + -0.30783409375747356, + -0.3601138288042551, + -0.40500719167416116, + -0.4422324651659804, + -0.4717568783526455, + -0.49380047949754685, + -0.5088329833236699, + -0.5175636365103845, + -0.5209243273459158, + -0.520046342197388, + -0.5162313383867757, + -0.510917255934592, + -0.5056400255548221, + -0.5019920438027146, + -0.50157847547149, + -0.505972505891744, + -0.5166707000598434, + -0.5350496305671882, + -0.5623249119106016, + -0.5995137254621697, + -0.6474018384168121, + -0.7065160133646512, + -0.7771025753472258, + -0.8591127535291585, + -0.9521952486330489, + -1.0556962991412107, + -1.168667333373119, + -1.289880105513674, + -1.4178490261964036, + -1.550860217009536, + -1.6870066478210743, + -1.8242285603819244, + -1.9603582451730235, + -2.0931681243586753, + -2.220421004894692, + -2.3399213045947937, + -2.4495660218845994, + -2.547394217952673, + -2.6316338081854402, + -2.7007445175443268, + -2.7534559405741, + -2.788799758987311, + -2.8061353055657046, + -2.8051678191861944, + -2.7859589083423666, + -2.7489289254060116, + -2.6948511465612386, + -2.624837848152249, + -2.540318564337158, + -2.443010998691495, + -2.3348852391652204, + -2.2181220872386684, + -2.0950664542917026, + -1.9681768976088971, + -1.8399724621621747, + -1.712978060035849, + -1.5896696554699445, + -1.4724205291000485, + -1.3634498699187447, + -1.2647748883775782, + -1.178167560226999, + -1.105117000197429, + -1.046798330149792, + -1.0040487511500187, + -0.9773513568336091, + -0.9668270406217642, + -0.9722346563362789, + -0.992979395240565, + -1.0281291472955787, + -1.0764384252124033, + -1.13637925130582, + -1.206178243537556, + -1.2838589924437642, + -1.3672886983595396, + -1.4542279414193067, + -1.5423823875346556, + -1.6294551935567239, + -1.7131988650221852, + -1.7914653404202452, + -1.8622531262156832, + -1.9237503856022609, + -1.9743729891251147, + -2.0127966642371176, + -2.037982530298938, + -2.0491954717527485, + -2.046014981045581, + -2.0283382898987306, + -1.9963757980696013, + -1.9506389981111214, + -1.891921278120345, + -1.8212721575573887, + -1.739965669652061, + -1.6494637438154425, + -1.5513755594235248, + -1.4474139354795694, + -1.3393498867547289, + -1.2289665144939759, + -1.118013407815005, + -1.00816271041496, + -0.9009679567656856, + -0.7978267039747569, + -0.6999478819562176, + -0.6083246581642623, + -0.5237134671357647, + -0.4466196931889655, + -0.37729032095297593, + -0.3157136873621508, + -0.2616262849242549, + -0.2145263841092461, + -0.17369406719992908, + -0.13821710132312265, + -0.10702192878764193, + -0.07890892205836941, + -0.05259094198305586, + -0.02673415399057204, + -2.5724874122318116e-16 + ], + [ + 0, + 0.030048901383456318, + 0.06403169076779543, + 0.10297852194841298, + 0.14775011826410356, + 0.19900930133382497, + 0.25719799499077795, + 0.32252033860070517, + 0.39493238538323205, + 0.47413869036152123, + 0.5595959134749275, + 0.6505233807370332, + 0.7459203647361404, + 0.8445896698630405, + 0.9451669418797279, + 1.046154970030521, + 1.145962116705827, + 1.2429438981074497, + 1.3354466523031427, + 1.4218521707561624, + 1.5006221374636484, + 1.5703412171177937, + 1.629757660366208, + 1.6778203497065853, + 1.7137112924970492, + 1.7368726759978197, + 1.7470277306405393, + 1.7441947986304494, + 1.7286941718077002, + 1.7011474413061383, + 1.6624692875262488, + 1.6138518276650353, + 1.556741824822256, + 1.4928112428699136, + 1.4239218003243816, + 1.3520843301581187, + 1.279413886962397, + 1.208081654723757, + 1.1402647948589106, + 1.0780954328433143, + 1.023610011227474, + 0.9787002362409832, + 0.9450668144582952, + 0.9241771158072681, + 0.9172278109356576, + 0.9251134167016037, + 0.9484015460558732, + 0.9873155011486604, + 1.0417246749309346, + 1.1111430410423588, + 1.194735818896863, + 1.291334205294271, + 1.3994578703762015, + 1.517344729036517, + 1.6429873235593313, + 1.7741749935859947, + 1.9085408694210153, + 2.043612607614377, + 2.176865696580855, + 2.3057780969803088, + 2.4278849482429576, + 2.5408320698100977, + 2.642427013456358, + 2.7306864807974187, + 2.8038790063677004, + 2.8605619193765057, + 2.8996117336738307, + 2.9202472722522406, + 2.922045005956891, + 2.904946271745121, + 2.869256229304501, + 2.8156346113901103, + 2.7450785180923964, + 2.6588976936565296, + 2.5586829018654202, + 2.4462681780689937, + 2.323687878770496, + 2.1931295698216284, + 2.056883888848877, + 1.9172925842819077, + 1.7766959707164598, + 1.6373810474784414, + 1.5015315040667072, + 1.3711807832895484, + 1.2481692917525897, + 1.1341067399769524, + 1.030340463540117, + 0.9379304255273156, + 0.8576314330382703, + 0.789882920690986, + 0.7348064664731704, + 0.6922110145664898, + 0.6616055906315258, + 0.6422191121627903, + 0.6330267244097585, + 0.6327819352398967, + 0.6400536840400857, + 0.6532673636839049, + 0.6707487235446292, + 0.6907695176894921, + 0.711593727250094, + 0.7315231803084784, + 0.7489414165139463, + 0.7623546963604033, + 0.7704291351984328, + 0.7720230475378329, + 0.7662137152938391, + 0.7523179410616571, + 0.7299059105091574, + 0.6988080624135488, + 0.6591148463111945, + 0.6111694315892389, + 0.5555536134775149, + 0.49306733621677096, + 0.42470241727848973, + 0.3516112047738659, + 0.27507102938647254, + 0.19644541904908724, + 0.11714312647922122, + 0.038576074539708356, + -0.03788264916765797, + -0.1109396196877003, + -0.17941962689077776, + -0.24230091503179174, + -0.2987461586991727, + -0.3481283350454667, + -0.3900507847228065, + -0.42436090477330685, + -0.4511570820292161, + -0.47078865117638813, + -0.48384884308172754, + -0.4911608716841699, + -0.49375748706746153, + -0.49285449372050893, + -0.48981889209021356, + -0.4861324442904449, + -0.4833515876015425, + -0.4830647190285467, + -0.48684794810997895, + -0.49622046145158727, + -0.5126006598606327, + -0.5372642169580194, + -0.5713051669664976, + -0.6156010599633998, + -0.6707831269051604, + -0.7372122765059176, + -0.8149616045228762, + -0.9038059366444623, + -1.0032187529247814, + -1.1123766588452546, + -1.2301713801479117, + -1.355229070246265, + -1.4859365349729896, + -1.6204738042648155, + -1.7568523185018419, + -1.8929578526763924, + -2.026597178012454, + -2.1555473612221805, + -2.277606528814438, + -2.3906448796478807, + -2.492654714433072, + -2.581798266585537, + -2.6564521644212187, + -2.7152474291348248, + -2.757104014562534, + -2.7812590209848476, + -2.787287863139895, + -2.7751178386208677, + -2.745033722900331, + -2.6976752069830225, + -2.634026188516248, + -2.5553961223312087, + -2.4633938270822657, + -2.3598943262311027, + -2.2469994696437716, + -2.1269932324124214, + -2.0022927164932893, + -1.8753959851993107, + -1.7488279379324068, + -1.6250854808791635, + -1.506583267528918, + -1.395601270346261, + -1.294235402034337, + -1.2043523325976382, + -1.127549548607066, + -1.0651215761167496, + -1.0180331416249717, + -0.9868998798967998, + -0.9719770174097722, + -0.9731562700363496, + -0.9899709979716538, + -1.0216094646165157, + -1.0669358539116907, + -1.124518517161998, + -1.192664750142803, + -1.269461248370344, + -1.35281925653623, + -1.440523320429175, + -1.530282468768701, + -1.619782600170301, + -1.7067388281556886, + -1.7889465451848663, + -1.8643300048408478, + -1.9309872885251353, + -1.9872306175917376, + -2.0316210913577932, + -2.0629970728690066, + -2.0804956041223934, + -2.0835664066658452, + -2.0719782077647975, + -2.045817322074066, + -2.00547860927469, + -1.95164911472049, + -1.8852848781840936, + -1.8075815609165595, + -1.719939689388264, + -1.6239254416417204, + -1.5212280060593009, + -1.4136146200264847, + -1.302884445607696, + -1.1908224598020807, + -1.0791545277965189, + -0.9695047892064246, + -0.8633564206459822, + -0.7620167448544741, + -0.6665875394394557, + -0.5779412600911303, + -0.4967037374080808, + -0.4232437372163877, + -0.3576695957586788, + -0.29983295789859093, + -0.24933946316215044, + -0.20556604564982126, + -0.16768434410944386, + -0.13468956203697519, + -0.1054339785046411, + -0.07866419200261078, + -0.05306108489335832, + -0.02728142749045158, + -2.651625025519308e-16 + ], + [ + 0, + 0.03136762736318803, + 0.06716618720825755, + 0.10834064008410266, + 0.15565085741794998, + 0.20964614616120567, + 0.2706456176508026, + 0.3387249452947722, + 0.4137098896476224, + 0.4951767934547967, + 0.5824600677735491, + 0.6746665079187051, + 0.770696099360803, + 0.8692688033558711, + 0.9689566543419725, + 1.0682203600166311, + 1.165449474117335, + 1.2590051143665164, + 1.347264126332877, + 1.4286635499771785, + 1.5017442305739732, + 1.565192429989012, + 1.6178783376672492, + 1.6588904521407757, + 1.6875649016863392, + 1.7035088945716554, + 1.7066176321462718, + 1.6970841783428852, + 1.6754019530001811, + 1.6423596994935394, + 1.5990289649203768, + 1.546744318860286, + 1.4870767198336752, + 1.4218006124387041, + 1.3528554983970507, + 1.282302867354757, + 1.2122794946641613, + 1.1449482104345747, + 1.08244731439742, + 1.0268398527583047, + 0.9800639850824784, + 0.9438856509925136, + 0.9198546984044197, + 0.9092655582835945, + 0.9131234472687912, + 0.9321169514614202, + 0.9665976952865264, + 1.0165676322100112, + 1.0816743132961038, + 1.161214299505614, + 1.2541446889001095, + 1.359102535282394, + 1.4744317450262958, + 1.5982168585726524, + 1.7283229567096718, + 1.8624407833946466, + 1.998136050152381, + 2.132901785119407, + 2.2642125151028774, + 2.3895790234337233, + 2.5066024110479175, + 2.6130262035198624, + 2.7067852923405105, + 2.7860505734806877, + 2.8492682483939906, + 2.8951928796095583, + 2.922913441851532, + 2.9318717765732307, + 2.921873038842113, + 2.893087916244325, + 2.8460465952485796, + 2.781624646511445, + 2.7010211921500114, + 2.6057299003977015, + 2.4975035218683743, + 2.3783128327933025, + 2.2503009804146257, + 2.115734331093554, + 1.976951000102782, + 1.8363082916660542, + 1.69613029744032, + 1.5586568909016971, + 1.4259953143370327, + 1.3000754854377077, + 1.1826100536305564, + 1.0750601147176277, + 0.9786073491895391, + 0.8941331883127678, + 0.8222054367922924, + 0.763072595839019, + 0.7166659404174064, + 0.6826092140182548, + 0.6602356182003151, + 0.648611596958767, + 0.6465667520648612, + 0.6527290788956471, + 0.6655645865144573, + 0.6834202639238645, + 0.7045692789442229, + 0.7272572488621084, + 0.7497484039289716, + 0.7703704763248321, + 0.7875571879506462, + 0.7998872792633245, + 0.80611911650804, + 0.8052200336684722, + 0.7963897051918547, + 0.7790770024830146, + 0.752989957306684, + 0.7180986342736864, + 0.6746308979811388, + 0.6230612434954448, + 0.5640930370883199, + 0.4986346829694834, + 0.4277703869550013, + 0.35272632566581347, + 0.2748331465102096, + 0.19548581644157617, + 0.11610190397819098, + 0.038079417566585366, + -0.03724466689088697, + -0.10863407586770177, + -0.17499003985002703, + -0.23538423650074114, + -0.28908698578816344, + -0.3355899311172971, + -0.37462258385421965, + -0.4061622681091299, + -0.4304371742024015, + -0.44792240853586324, + -0.4593291100863102, + -0.4655868848035581, + -0.4678199842368316, + -0.4673178192841876, + -0.4655005498711539, + -0.46388062279289655, + -0.46402123953379887, + -0.46749282078989784, + -0.47582859245844933, + -0.4904804474924055, + -0.5127762384235056, + -0.5438796264456089, + -0.5847535553647125, + -0.6361283338283643, + -0.6984751990962144, + -0.771986102893008, + -0.8565603078533635, + -0.9517982154715627, + -1.057002667454348, + -1.1711877763784893, + -1.2930951532013475, + -1.421217213153049, + -1.553827062498884, + -1.689014301080768, + -1.8247259236351923, + -1.9588113704680328, + -2.0890706684972753, + -2.2133045197443857, + -2.329365138228427, + -2.435206609372313, + -2.528933549226301, + -2.6088468740655157, + -2.673485553499712, + -2.7216633106917585, + -2.752499349472336, + -2.765442327280109, + -2.760286951594756, + -2.7371827520227483, + -2.696634766205336, + -2.639496070717809, + -2.5669522834119354, + -2.480498356450877, + -2.381908164882269, + -2.2731975694468716, + -2.1565817901661513, + -2.0344280652184543, + -1.9092046843119352, + -1.7834275743696417, + -1.6596056756751782, + -1.5401863771911375, + -1.4275022797937564, + -1.3237205256470796, + -1.2307958715997132, + -1.150428595787733, + -1.084028211722835, + -1.0326838258330762, + -0.997141816072242, + -0.9777913346828844, + -0.9746579517396734, + -0.9874055622577729, + -1.015346483146379, + -1.0574594719035317, + -1.1124152114120747, + -1.178608629063245, + -1.254197257974835, + -1.337144707167203, + -1.425268189610011, + -1.5162889648859839, + -1.6078844890282966, + -1.697741029378733, + -1.7836054978614766, + -1.8633352819042566, + -1.934944907651887, + -1.9966484536678222, + -2.0468967428789675, + -2.0844084733219224, + -2.108194600963055, + -2.1175754566737264, + -2.1121902601403697, + -2.0919988815864667, + -2.0572758930174766, + -2.0085971395496927, + -1.946819243589703, + -1.873052625707179, + -1.78862878179081, + -1.6950626926859511, + -1.5940113566573704, + -1.4872295239410196, + -1.376523774218447, + -1.2637061106248642, + -1.1505482471650188, + -1.038737740175997, + -0.9298370594932177, + -0.8252466127124378, + -0.7261726285408637, + -0.6336006754639757, + -0.5482754431432745, + -0.4706872498975219, + -0.4010655644740441, + -0.3393796485258246, + -0.2853462423727405, + -0.23844403538322737, + -0.19793448823671028, + -0.16288841180106578, + -0.13221756047207783, + -0.10471037026396808, + -0.07907086691239336, + -0.053959689385090666, + -0.02803612148630637, + -2.7490999693653496e-16 + ], + [ + 0, + 0.03285643264262326, + 0.07060136882835878, + 0.11408628053718245, + 0.16396351876861168, + 0.2206640483617615, + 0.2843813449339214, + 0.35506190444060465, + 0.4324026437883419, + 0.5158552914800004, + 0.6046376849890374, + 0.6977517110661674, + 0.7940074510604314, + 0.8920529300112991, + 0.9904087198967778, + 1.0875065177904313, + 1.1817307121070253, + 1.2714618673711942, + 1.3551210021750375, + 1.4312135076733807, + 1.4983715558620032, + 1.5553938780249392, + 1.6012818534189377, + 1.6352709350664614, + 1.6568565513509266, + 1.6658137562164912, + 1.6622100538732754, + 1.646410992219524, + 1.6190782985485748, + 1.5811605170592262, + 1.5338762956075864, + 1.4786906543412601, + 1.4172847467146774, + 1.3515197894413697, + 1.2833959880224426, + 1.2150074148151537, + 1.1484939038685191, + 1.0859911082156406, + 1.0295799188712984, + 0.9812364690196668, + 0.942783941097182, + 0.9158473587256366, + 0.9018124805187708, + 0.9017898201824956, + 0.9165846992514657, + 0.9466740980829691, + 0.9921909107567353, + 1.0529160341806814, + 1.1282785352377134, + 1.2173639467681345, + 1.3189305482757283, + 1.4314332952358626, + 1.5530548764693572, + 1.6817432067443925, + 1.8152545058065541, + 1.9512009792445448, + 2.087102004315012, + 2.22043763784072, + 2.3487032056857773, + 2.4694637055297792, + 2.580406757409287, + 2.6793928697226947, + 2.7645018513091717, + 2.834074291293112, + 2.8867471454218148, + 2.9214826077693523, + 2.93758960652293, + 2.934737438215823, + 2.9129612419450157, + 2.872659209252838, + 2.8145816217332404, + 2.7398120022660173, + 2.649740852373474, + 2.5460326230022687, + 2.4305867248207567, + 2.3054935230477525, + 2.1729863775433027, + 2.0353908786195998, + 1.8950724906362397, + 1.754383847487423, + 1.6156129458563957, + 1.4809334536364105, + 1.3523582929727984, + 1.231697571466258, + 1.1205218233766858, + 1.0201313879949927, + 0.9315325980815895, + 0.8554212812564452, + 0.7921738956976427, + 0.7418464329699567, + 0.7041810299321775, + 0.6786200431784667, + 0.6643271580033426, + 0.6602149339047562, + 0.6649780343239522, + 0.6771312534349063, + 0.6950513406201646, + 0.7170215365123692, + 0.7412776752125044, + 0.7660546768992543, + 0.7896322541798727, + 0.8103786841251461, + 0.8267915551695089, + 0.837534482418721, + 0.8414688941952362, + 0.8376801240499863, + 0.8254971926167674, + 0.8045058287567843, + 0.7745544552446407, + 0.735753046330567, + 0.6884649482737482, + 0.6332919347411672, + 0.5710529422486654, + 0.5027570922251133, + 0.4295717517493542, + 0.3527865108910864, + 0.27377405772592805, + 0.1939490099110023, + 0.11472581225993639, + 0.03747683179182685, + -0.03650822528689427, + -0.1060604860779733, + -0.17016664817332938, + -0.22799934683310283, + -0.2789423315814303, + -0.3226097668700007, + -0.3588591243762907, + -0.3877973012342787, + -0.4097797748165387, + -0.4254027861299567, + -0.4354887258535742, + -0.44106507491999625, + -0.44333742080426675, + -0.44365722703179156, + -0.443485172865032, + -0.44435099911406367, + -0.44781089148434206, + -0.45540350235989097, + -0.4686057536037265, + -0.4887895757178086, + -0.5171807221443161, + -0.5548207519457485, + -0.602533200637999, + -0.6608948593346073, + -0.7302129590168046, + -0.8105089126966701, + -0.9015091070378333, + -1.002643060623955, + -1.1130490828424333, + -1.2315873798313515, + -1.3568603667925452, + -1.4872397638732187, + -1.6208998803201304, + -1.755856333040786, + -1.8900093050578748, + -2.0211903301703544, + -2.147211495468594, + -2.2659158856193793, + -2.3752280538073554, + -2.4732032949510216, + -2.5580745176296213, + -2.628295561643038, + -2.6825798871279183, + -2.7199336668099883, + -2.739682442763532, + -2.741490659853368, + -2.725373556206626, + -2.6917010725217834, + -2.6411936323568304, + -2.5749098401076354, + -2.4942263374404594, + -2.4008102477344755, + -2.2965848169980125, + -2.183689024360714, + -2.064432081572513, + -1.9412438653625053, + -1.8166224259658241, + -1.693079787160107, + -1.5730872959844011, + -1.4590217928724416, + -1.3531138548935981, + -1.2573993165789734, + -1.1736751955790496, + -1.1034610460243746, + -1.047966633477689, + -1.008066674914152, + -0.9842832189083507, + -0.9767760592420288, + -0.9853413839065794, + -1.0094186656171937, + -1.0481056042484276, + -1.1001807408044941, + -1.1641331812881317, + -1.2381987015275804, + -1.320401354714027, + -1.4085995756980572, + -1.5005356730649873, + -1.5938875241185815, + -1.6863212409435404, + -1.7755435587695967, + -1.859352711265795, + -1.9356866007474762, + -2.002667143440183, + -2.0586397690668545, + -2.1022071776006186, + -2.1322566009502735, + -2.147979979995028, + -2.148886643705436, + -2.1348082626960885, + -2.1058960398498057, + -2.062610290924999, + -2.005702753610176, + -1.936192139752628, + -1.8553336081329799, + -1.7645829802014255, + -1.6655566450990087, + -1.5599882000548204, + -1.449682945480205, + -1.3364713990423072, + -1.2221630086669888, + -1.1085012305016775, + -0.9971210948075165, + -0.8895103117169972, + -0.786974871654568, + -0.6906099744869025, + -0.601276980245764, + -0.5195869161538448, + -0.4458909037039973, + -0.38027769003041184, + -0.3225782843084944, + -0.2723775170634709, + -0.22903216266703497, + -0.19169509742984844, + -0.15934481177732807, + -0.1308194588937765, + -0.1048545073497023, + -0.08012297446581093, + -0.055277152782412346, + -0.02899070559679592, + -2.863968574298271e-16 + ], + [ + 0, + 0.03450112285696307, + 0.07430482032547882, + 0.12016163619337988, + 0.1726107108748567, + 0.2319609114393539, + 0.2982783877962974, + 0.37138090775862526, + 0.45083914710561035, + 0.5359849294044093, + 0.6259262288290466, + 0.7195685721411574, + 0.8156423078665428, + 0.912735055792048, + 1.0093285121667672, + 1.103838668940715, + 1.1946584120175567, + 1.2802013962485315, + 1.358946055512405, + 1.4294785957738436, + 1.4905338378278372, + 1.5410328241246471, + 1.5801161795070695, + 1.6071723170607572, + 1.6218597051066734, + 1.62412255658802, + 1.6141994641409008, + 1.5926246789794454, + 1.5602219150341523, + 1.5180907469981375, + 1.4675858573932612, + 1.4102895688086183, + 1.3479782685539583, + 1.2825834898137662, + 1.2161485520322166, + 1.150781780196423, + 1.0886074149381662, + 1.0317153905707495, + 0.9821111946127311, + 0.9416670290263349, + 0.9120754700542304, + 0.8948067706537499, + 0.8910708683146695, + 0.9017850534196172, + 0.927548121835508, + 0.9686216832740451, + 1.0249191278091683, + 1.0960025708949197, + 1.1810879067189772, + 1.2790579054011733, + 1.3884830961502361, + 1.5076499907575647, + 1.6345960243335844, + 1.7671504273336438, + 1.902980098676596, + 2.0396394276782686, + 2.1746229156115016, + 2.305419378358229, + 2.429566471556738, + 2.544704269872358, + 2.6486266527943987, + 2.739329300200216, + 2.8150531806063657, + 2.874322521618051, + 2.915976383003736, + 2.9391931048779663, + 2.9435070729720536, + 2.9288174257820407, + 2.895388520055206, + 2.843842166943784, + 2.775141846451095, + 2.690569297771282, + 2.5916940631640752, + 2.480336728741954, + 2.3585267529658447, + 2.228455899186413, + 2.0924283892120377, + 1.952808968226166, + 1.8119701156842205, + 1.672239651076543, + 1.535849967371773, + 1.4048900790227223, + 1.2812615968253351, + 1.166639640574982, + 1.062439574921383, + 0.9697903072339348, + 0.8895147223141417, + 0.822117651514829, + 0.7677815876485233, + 0.7263701666027735, + 0.6974392465367683, + 0.6802552305986675, + 0.6738201038277442, + 0.6769024935906591, + 0.6880739194928479, + 0.7057492766965807, + 0.7282304989206065, + 0.7537522764345314, + 0.7805286617679755, + 0.8067993825941949, + 0.8308746975526393, + 0.8511776761397996, + 0.8662828569950387, + 0.8749503380179476, + 0.8761544742140646, + 0.8691065018356862, + 0.8532705666246897, + 0.828372805727644, + 0.7944033127867479, + 0.7516109992634498, + 0.7004915475913926, + 0.6417688286815765, + 0.5763703231621996, + 0.5053972383352304, + 0.4300901473410624, + 0.35179109007081505, + 0.2719031641255566, + 0.19184869637873173, + 0.11302711990756534, + 0.036773686382967546, + -0.035679879664690786, + -0.10324173033437338, + -0.1649922723172681, + -0.22021170216779595, + -0.26840195421096535, + -0.3093024620782748, + -0.3428992960047551, + -0.36942741055223705, + -0.38936591697576384, + -0.40342647646904384, + -0.41253509039425484, + -0.4178077367550367, + -0.42052046420802114, + -0.4220747017026419, + -0.4239586696445224, + -0.4277058840220517, + -0.43485182550098556, + -0.44688989898546116, + -0.46522783414943825, + -0.49114567325791475, + -0.5257564592513677, + -0.569970675320587, + -0.6244653985269101, + -0.6896590165770644, + -0.7656922214191398, + -0.8524158392200127, + -0.9493858873217774, + -1.0558660691417483, + -1.170837732140065, + -1.2930171265571475, + -1.4208796182979904, + -1.5526903327208443, + -1.6865405416041797, + -1.8203889573538523, + -1.952106970315252, + -2.0795267601246756, + -2.2004911330545265, + -2.312903886321828, + -2.414779478695872, + -2.5042907950890694, + -2.57981383103656, + -2.6399681902158303, + -2.6836523828599934, + -2.710073032828143, + -2.7187672433370835, + -2.709617532498772, + -2.6828589259417917, + -2.639077980642308, + -2.579203707097587, + -2.5044905514324185, + -2.416493790180538, + -2.317037873650293, + -2.2081784244749634, + -2.0921587519741367, + -1.9713618765276697, + -1.8482591679992295, + -1.7253567856343028, + -1.605141161733349, + -1.490024796400167, + -1.3822936251521223, + -1.2840571852665896, + -1.197202741282198, + -1.123354436655606, + -1.063838419459818, + -1.019654748092482, + -0.9914567216959229, + -0.9795381032995447, + -0.9838285158829974, + -1.0038970971973622, + -1.0389643030031175, + -1.0879215551601842, + -1.1493582454341171, + -1.2215954324689848, + -1.3027254123254757, + -1.3906562060906738, + -1.483159894633788, + -1.577923643330263, + -1.67260220058055, + -1.7648706245875063, + -1.8524759937770394, + -1.9332868873545324, + -2.0053394829472997, + -2.0668792065333212, + -2.1163969836602083, + -2.152659277453264, + -2.1747312546807667, + -2.1819925923042054, + -2.1741456192351607, + -2.1512156769275568, + -2.113543773278631, + -2.061771792381996, + -1.9968207033377876, + -1.9198623801383956, + -1.8322857974775852, + -1.7356585004450678, + -1.6316843562346925, + -1.5221586805564928, + -1.4089218883863501, + -1.2938128466893961, + -1.178623105214617, + -1.0650531505147642, + -0.9546717688675782, + -0.8488795173396014, + -0.748877191091256, + -0.6556400420312692, + -0.5698983524914071, + -0.49212480156345856, + -0.4225288853334332, + -0.36105846992838014, + -0.3074083726651014, + -0.2610356862889276, + -0.2211813888550542, + -0.18689762157186365, + -0.15707987291922343, + -0.13050318318698567, + -0.10586138235861017, + -0.08180829852056314, + -0.056999825595392815, + -0.030135719370388662, + -2.9951192000071565e-16 + ], + [ + 0, + 0.036285998656671405, + 0.07824152930639755, + 0.12650969120431832, + 0.18151175343916104, + 0.2434318343114251, + 0.3122082147951903, + 0.3875315382382157, + 0.4688499688566061, + 0.5553811998788452, + 0.6461310229994859, + 0.7399179986652847, + 0.8354036060120102, + 0.9311271060906322, + 1.0255442260725807, + 1.1170686686309714, + 1.2041153723230351, + 1.2851443975851355, + 1.3587042902527933, + 1.423473780976736, + 1.4783007144337121, + 1.5222371660094294, + 1.5545697941321113, + 1.5748445914576743, + 1.5828853348314704, + 1.5788051890081412, + 1.5630110886656583, + 1.5362007030969842, + 1.4993519736313494, + 1.4537054007002232, + 1.4007394408538778, + 1.3421395493620574, + 1.2797615668964768, + 1.2155902950934192, + 1.1516942318341534, + 1.090177539656899, + 1.0331303971998937, + 0.982578931985234, + 0.9404359518947432, + 0.9084536817929453, + 0.8881796710907627, + 0.8809169685248999, + 0.8876895636765064, + 0.9092139730689811, + 0.945877704989552, + 0.9977251749422272, + 1.0644514667944454, + 1.1454041475269936, + 1.239593150598786, + 1.34570854900614, + 1.4621458488945471, + 1.5870382527298852, + 1.7182951720166757, + 1.8536461175153987, + 1.9906889635990206, + 2.1269414760369054, + 2.259894911753188, + 2.3870684469783296, + 2.5060631679983634, + 2.61461436697598, + 2.7106409238941653, + 2.792290623637433, + 2.8579803529384376, + 2.9064302430599707, + 2.936690967712198, + 2.9481635683297363, + 2.9406113564961758, + 2.91416363168009, + 2.869311146951446, + 2.806893451247243, + 2.72807842928533, + 2.63433454470626, + 2.5273964639765674, + 2.409224893844596, + 2.281961599948115, + 2.1478806852811765, + 2.00933729197218, + 1.8687149461908414, + 1.7283727926733543, + 1.5905939617475804, + 1.4575362780131382, + 1.3311864568840956, + 1.2133188446502865, + 1.1054596418492304, + 1.008857411474223, + 0.9244605163322238, + 0.8529019576232673, + 0.7944919038206089, + 0.7492180097220729, + 0.7167534347968881, + 0.696472282375225, + 0.687472001436929, + 0.6886021251666309, + 0.6984985691567974, + 0.715622580847875, + 0.7383033236806231, + 0.7647829971029232, + 0.7932633389783939, + 0.8219523313502165, + 0.8491099344593711, + 0.8730917072048435, + 0.8923892339361186, + 0.9056663659517558, + 0.9117903990430732, + 0.9098574429644887, + 0.8992113913934651, + 0.8794560678789586, + 0.8504603002338184, + 0.8123558583267887, + 0.765528373666008, + 0.7106015389142253, + 0.6484150570130206, + 0.5799969686077714, + 0.5065311289668077, + 0.4293207280064223, + 0.34974884630664105, + 0.2692371136548167, + 0.189203582855508, + 0.11102094915891036, + 0.035976234269448286, + -0.034766986185138606, + -0.100202800579378, + -0.15951270712299795, + -0.21209008730807785, + -0.2575587444304614, + -0.2957849994616467, + -0.3268830045001645, + -0.351213110862442, + -0.36937331009875757, + -0.38218394724315013, + -0.39066608183285645, + -0.3960140391858336, + -0.39956284785673796, + -0.40275139519160336, + -0.40708224799238674, + -0.4140791765304254, + -0.42524348515391125, + -0.44201028981688745, + -0.46570589101256665, + -0.49750736954407104, + -0.5384054827655682, + -0.5891718615531403, + -0.6503314051880166, + -0.7221406450734843, + -0.8045727018645944, + -0.8973092977798952, + -0.999740110619202, + -1.1109695726825328, + -1.2298310309366989, + -1.3549079990680797, + -1.4845620521371659, + -1.6169667449210678, + -1.750146779959082, + -1.882021514713453, + -2.0104517825846715, + -2.133288912700449, + -2.2484247707446383, + -2.3538416092500016, + -2.447660511682024, + -2.528187240488172, + -2.5939543545369435, + -2.6437585447531142, + -2.6766922463018044, + -2.692168718765528, + -2.689939939190063, + -2.6701068229340756, + -2.6331214698136765, + -2.57978132364165, + -2.5112153272705013, + -2.4288623479168048, + -2.3344423341540304, + -2.229920841938163, + -2.117467728054166, + -1.99941095148392, + -1.8781865428989932, + -1.756285896820823, + -1.6362016076343133, + -1.520373107930122, + -1.411133374649191, + -1.3106579450116322, + -1.220917430782255, + -1.143634637338643, + -1.0802472852507796, + -1.0318771992922775, + -0.9993066762088493, + -0.9829625719069318, + -0.9829084651469593, + -0.9988450628010285, + -1.0301188159367296, + -1.0757385211818893, + -1.1343994927452263, + -1.2045147117088069, + -1.2842521951059205, + -1.3715776818261631, + -1.464301609060944, + -1.5601292547833503, + -1.6567128509928535, + -1.751704430818312, + -1.8428081610148177, + -1.9278309301243859, + -2.0047300110663766, + -2.0716566939191465, + -2.126994888189826, + -2.1693938213347552, + -2.197794108496189, + -2.2114466336630705, + -2.2099238606350156, + -2.1931233788485938, + -2.1612636796924978, + -2.1148723486859358, + -2.054767043146366, + -1.9820297991981743, + -1.8979753719012433, + -1.804114453999749, + -1.702112738858744, + -1.5937468886663997, + -1.480858537646482, + -1.365307500233723, + -1.2489253650107066, + -1.133470636517871, + -1.0205865393920353, + -0.9117625239495001, + -0.8083004112789414, + -0.7112859917577579, + -0.6215667468339827, + -0.5397362035980037, + -0.46612525917534964, + -0.40080063167335284, + -0.3435704108669916, + -0.2939964996427714, + -0.2514135610224364, + -0.21495391979144432, + -0.18357771652462734, + -0.15610747892522867, + -0.13126616420025314, + -0.10771763946223213, + -0.08410850703458381, + -0.059110149532722304, + -0.031459866475204566, + -3.141283204547239e-16 + ], + [ + 0, + 0.03819400961674868, + 0.0823742280585067, + 0.13307077556803415, + 0.19058345965080195, + 0.25497012568522587, + 0.3260417917183386, + 0.40336471715472155, + 0.48626937400992787, + 0.5738661089257399, + 0.6650671088148621, + 0.758614117272009, + 0.8531111969735851, + 0.9470616990620243, + 1.0389084874047927, + 1.1270763765359584, + 1.2100156793331858, + 1.2862457256992272, + 1.3543972076479622, + 1.4132522294591696, + 1.4617809934508048, + 1.4991741311905258, + 1.5248697947082943, + 1.538574749915758, + 1.5402788618435421, + 1.5302625248312791, + 1.5090967663929977, + 1.4776359367679424, + 1.4370030825878073, + 1.3885682879911572, + 1.333920445267555, + 1.274833085233468, + 1.2132250508000155, + 1.151116931719866, + 1.0905842908852266, + 1.0337087999212808, + 0.9825284619251603, + 0.9389881304563319, + 0.9048915354192121, + 0.8818559981563034, + 0.8712709604929201, + 0.874261366970452, + 0.891656828095477, + 0.9239673577824573, + 0.9713663235232151, + 1.0336810769215314, + 1.110391549238631, + 1.200636905963301, + 1.303230160803276, + 1.4166804576278058, + 1.5392225434754594, + 1.6688527813242218, + 1.8033708921886333, + 1.9404264761750247, + 2.0775692448407588, + 2.2123018054624635, + 2.342133773895485, + 2.464635958195083, + 2.5774933509427145, + 2.6785556944106657, + 2.765884438691473, + 2.8377949973728285, + 2.8928933162122674, + 2.9301059048715996, + 2.948702636838889, + 2.9483117944255897, + 2.928927019999495, + 2.890906026916367, + 2.834961119265222, + 2.7621417637851, + 2.6738096454226046, + 2.571606815410603, + 2.4574177031560054, + 2.33332590669624, + 2.2015667975557602, + 2.0644770715939433, + 1.9244424455966807, + 1.7838447383175453, + 1.6450095835324094, + 1.5101560012834538, + 1.381349002449987, + 1.2604563224140901, + 1.1491102739054397, + 1.0486755797697234, + 0.9602238966452068, + 0.8845155740846958, + 0.8219890146611815, + 0.7727578134825578, + 0.7366156649410939, + 0.7130488351416558, + 0.7012558149521932, + 0.7001735955090155, + 0.7085098495286838, + 0.7247801617970774, + 0.7473493341262915, + 0.7744756967428367, + 0.8043572917264732, + 0.835178756313607, + 0.8651577254549407, + 0.8925895940844705, + 0.915889529491626, + 0.9336307016487829, + 0.9445778023078922, + 0.9477150494855188, + 0.9422680193844665, + 0.9277188091467939, + 0.9038142070024844, + 0.8705667269862686, + 0.8282485488809078, + 0.7773785857826774, + 0.718703077099781, + 0.6531702694787911, + 0.5818998979753064, + 0.5061483109896426, + 0.42727019179535747, + 0.34667791417112215, + 0.2657996276003702, + 0.18603719729778387, + 0.1087251252367831, + 0.03509155039457847, + -0.03377762966505342, + -0.09697055654392003, + -0.15377627614447673, + -0.20370594846043721, + -0.24650782708654834, + -0.28217559611742055, + -0.310949825401965, + -0.33331248471184644, + -0.34997463871384193, + -0.3618576231053569, + -0.37006817334726294, + -0.3758681367590813, + -0.38063954227084906, + -0.38584592619018515, + -0.39299091376435186, + -0.4035751324838727, + -0.4190525820064504, + -0.4407876059796471, + -0.47001360232510164, + -0.5077945708635098, + -0.5549905313832009, + -0.6122277529674488, + -0.679874618845808, + -0.7580238130845163, + -0.8464813594835582, + -0.9447628729640583, + -1.0520972037318894, + -1.1674374690705485, + -1.2894792813739104, + -1.4166857986320218, + -1.5473190496009162, + -1.6794768246907315, + -1.8111342792571599, + -1.9401892721315281, + -2.064510362025175, + -2.181986310464297, + -2.290575894077394, + -2.3883568125993233, + -2.4735724923797573, + -2.544675628255762, + -2.6003673783997616, + -2.6396312255060956, + -2.661760641080921, + -2.66637983468689, + -2.653457033260328, + -2.6233099131039443, + -2.576602994543301, + -2.5143370019502784, + -2.4378303851720426, + -2.3486933876268776, + -2.2487952268001004, + -2.1402251201637688, + -2.0252480395402555, + -1.9062562059381238, + -1.7857174417276922, + -1.6661215750989775, + -1.5499261411177645, + -1.4395026431289613, + -1.3370846272458845, + -1.2447187814505736, + -1.1642202003948932, + -1.0971328590323102, + -1.0446962150973944, + -1.007818715172331, + -0.9870588151674508, + -0.9826139474835922, + -0.994317678261868, + -1.0216451035575402, + -1.063726337732816, + -1.119367755603752, + -1.1870804665588743, + -1.2651153284417744, + -1.3515036555866442, + -1.4441026427245958, + -1.5406444177371694, + -1.638787554029276, + -1.7361698195806048, + -1.8304609157642784, + -1.9194139653156663, + -2.000914545168174, + -2.073026125287383, + -2.1340308674556736, + -2.1824648558422877, + -2.2171469711819967, + -2.237200778983901, + -2.2420689754543566, + -2.2315201184436635, + -2.20564756016929, + -2.1648606890480218, + -2.1098687749871075, + -2.0416578913402548, + -1.9614615530400927, + -1.8707258601068704, + -1.77107006515708, + -1.66424358955892, + -1.5520805929554093, + -1.4364532531020602, + -1.3192249361410406, + -1.2022044310804803, + -1.0871023866237597, + -0.9754910245848467, + -0.8687681136215267, + -0.7681260722661466, + -0.6745269341817283, + -0.588683754694171, + -0.5110488698612243, + -0.44180924188877957, + -0.3808889420813118, + -0.32795863932449965, + -0.2824517829580534, + -0.24358699831108865, + -0.21039605542475967, + -0.18175663053256647, + -0.15642895923593628, + -0.13309538301462745, + -0.11040171917148188, + -0.08699934030184976, + -0.061586833978489436, + -0.03295012691068006, + -3.3010474504090713e-16 + ], + [ + 0, + 0.04020692124942794, + 0.08666375704975421, + 0.1397831450220601, + 0.19974094199542425, + 0.26646833442391477, + 0.33965082409109, + 0.41873413540934956, + 0.5029369097126293, + 0.5912698742469442, + 0.6825610035975626, + 0.77548603337592, + 0.8686035441455209, + 0.96039371141476, + 1.0492997181946069, + 1.1337707526683678, + 1.2123054668720759, + 1.283494754176175, + 1.3460627143152102, + 1.3989047145259585, + 1.4411215230945384, + 1.4720485856456709, + 1.4912796325361648, + 1.498683944837583, + 1.4944167631735787, + 1.4789224942301444, + 1.4529305498439196, + 1.4174438387093662, + 1.3737201163087356, + 1.323246580017178, + 1.2677082689218644, + 1.2089509873793558, + 1.148939613697256, + 1.089712776958847, + 1.0333349828149367, + 0.9818473405326975, + 0.9372180868525423, + 0.9012941160923699, + 0.8757547100115491, + 0.8620686154995024, + 0.8614555442132195, + 0.8748530675884183, + 0.9028897555902139, + 0.945865261157674, + 1.0037378880724406, + 1.0761200019312132, + 1.1622814563603723, + 1.2611610141550726, + 1.3713855503610282, + 1.4912966361635935, + 1.6189839234215133, + 1.7523245841798984, + 1.889027911590808, + 2.0266840620056135, + 2.1628158157093766, + 2.294932158377957, + 2.420582438729577, + 2.537409841187209, + 2.6432029261053773, + 2.735944033939842, + 2.8138534226087417, + 2.8754281074547805, + 2.919474498246795, + 2.945134074522761, + 2.951901505707391, + 2.939634801820807, + 2.90855726986721, + 2.8592512455489816, + 2.792643765060094, + 2.7099845326287904, + 2.612816721564728, + 2.5029413154002853, + 2.382375847208409, + 2.2533085256662586, + 2.1180488427708393, + 1.9789758377490443, + 1.8384852427488667, + 1.6989367571616605, + 1.5626026884514628, + 1.4316191584427718, + 1.3079410061644507, + 1.193301423295125, + 1.0891772384004352, + 0.996760624496867, + 0.9169378445526889, + 0.8502754753198244, + 0.7970143657003226, + 0.7570713962448619, + 0.7300489160385949, + 0.7152515468408038, + 0.7117098664902419, + 0.7182103186274451, + 0.7333305477499873, + 0.7554792311096046, + 0.782939375067538, + 0.8139139657401019, + 0.8465728139306883, + 0.8790994135989931, + 0.9097366418801014, + 0.9368301666166603, + 0.9588684934632082, + 0.9745186771198137, + 0.9826568377560888, + 0.9823927612053892, + 0.9730880165341428, + 0.9543671931833149, + 0.9261220377678576, + 0.8885084533106362, + 0.8419365065729204, + 0.787053767620695, + 0.7247224753491202, + 0.6559911791216073, + 0.5820616460459646, + 0.5042519422233441, + 0.42395669160209426, + 0.3426055854785517, + 0.2616212574944602, + 0.18237765216567267, + 0.10615999924032456, + 0.03412746195580565, + -0.03272054431114817, + -0.09357346359345342, + -0.14783336179596016, + -0.19513270088628226, + -0.2353456421506715, + -0.2685925648198393, + -0.2952376634981472, + -0.315879668624391, + -0.33133591406576174, + -0.3426201503312947, + -0.35091466635594104, + -0.35753743316627773, + -0.36390511516043317, + -0.37149290583289385, + -0.3817922316967309, + -0.3962674286543893, + -0.416312527557326, + -0.44320928929098524, + -0.4780876042656051, + -0.5218893172557587, + -0.5753364573987481, + -0.6389047468052244, + -0.7128031322618597, + -0.7969599360949721, + -0.8910160580876453, + -0.9943254844758018, + -1.105963176866144, + -1.2247402279881499, + -1.349225987160299, + -1.4777766808254995, + -1.6085698869505387, + -1.7396440706821201, + -1.8689422562347675, + -1.9943587999147692, + -2.113788144274881, + -2.225174375840988, + -2.3265603801769403, + -2.4161353890642365, + -2.4922797453444314, + -2.5536057708400675, + -2.5989937103504315, + -2.62762183793776, + -2.6389899478665937, + -2.632935608350145, + -2.6096427279181165, + -2.569642167576771, + -2.5138043225144355, + -2.443323790258329, + -2.359696433184307, + -2.264689327438581, + -2.1603042631279132, + -2.0487356178250287, + -1.9323235631472042, + -1.8135036790014316, + -1.69475413920936, + -1.5785416934164667, + -1.4672677019245781, + -1.3632154815548476, + -1.2685001917839613, + -1.1850224318737506, + -1.114426632937769, + -1.058065215951623, + -1.0169693503541157, + -0.9918269914137751, + -0.9829687017527476, + -0.9903615775301373, + -1.013611407286896, + -1.0519729960278337, + -1.1043683935157533, + -1.1694125786842728, + -1.2454459760823764, + -1.330573019614256, + -1.4227058374215125, + -1.5196120129862147, + -1.6189652842687174, + -1.7183979771613414, + -1.815553933282733, + -1.9081406859834407, + -1.9939796624654502, + -2.0710532434811793, + -2.1375475937904143, + -2.191890284347116, + -2.2327818583544596, + -2.2592206445885035, + -2.2705202889831417, + -2.266319655230455, + -2.246584932629582, + -2.2116039799804548, + -2.1619731232670643, + -2.098576807558683, + -2.02256067549269, + -1.935298801680587, + -1.8383559505706253, + -1.7334458413513445, + -1.6223864945914759, + -1.5070537993095392, + -1.3893344745556295, + -1.2710796055862974, + -1.1540599112721752, + -1.0399238471805003, + -0.9301595692180477, + -0.8260616778813787, + -0.7287035357421474, + -0.6389158040561775, + -0.5572716820611665, + -0.4840791587376005, + -0.4193804059464429, + -0.3629582584910833, + -0.3143495453993142, + -0.27286486214237676, + -0.23761420998661248, + -0.20753778030849435, + -0.1814410322095529, + -0.15803310437818138, + -0.135967519535819, + -0.11388408402462663, + -0.09045085751478434, + -0.06440506909359334, + -0.03459188608033514, + -3.4728682187385857e-16 + ], + [ + 0, + 0.04230549340875981, + 0.09106944644289246, + 0.14658358033815255, + 0.2088984333357929, + 0.2778192854455064, + 0.35290898997709175, + 0.4334976547251509, + 0.5186989364696087, + 0.6074325390629414, + 0.6984523422194363, + 0.7903794393543758, + 0.8817392322345433, + 0.971001621134308, + 1.0566232444439445, + 1.1370906634400717, + 1.2109633577293561, + 1.2769153955399928, + 1.3337746706608138, + 1.3805586537875074, + 1.4165056889890997, + 1.4411009739354952, + 1.4540964927783107, + 1.4555243199375902, + 1.445702877816473, + 1.4252359075513172, + 1.3950040949214617, + 1.3561494789234316, + 1.3100529536226528, + 1.2583053501419315, + 1.2026727506014228, + 1.145056835332174, + 1.0874511949630192, + 1.03189464671677, + 0.9804226766878701, + 0.9350181848740091, + 0.8975627358393661, + 0.8697895143515327, + 0.8532391521461902, + 0.8492195298555724, + 0.858770568530128, + 0.8826349102114363, + 0.9212352494346063, + 0.974658920670376, + 1.042650174364416, + 1.124610390586887, + 1.2196062888486625, + 1.3263860000270775, + 1.4434026762908498, + 1.5688451320822978, + 1.7006748380970202, + 1.8366684350070612, + 1.9744647982283652, + 2.111615572682184, + 2.245638010025182, + 2.3740688823750804, + 2.4945182176024945, + 2.6047216025390516, + 2.7025898319695223, + 2.786254742293504, + 2.8541101577990573, + 2.9048469924377818, + 2.9374816880447057, + 2.9513773277571533, + 2.9462569371203253, + 2.9222086707996215, + 2.879682775441023, + 2.819480414345868, + 2.7427346325105066, + 2.650883926536491, + 2.545639058427674, + 2.428943911123931, + 2.302931322932338, + 2.1698749544409517, + 2.032138332239006, + 1.892122276652046, + 1.7522119542503383, + 1.614724799342653, + 1.4818605220043848, + 1.355654364126937, + 1.237934680953181, + 1.1302858157050748, + 1.0340171019686948, + 0.950138675796841, + 0.879344610817122, + 0.8220037091779, + 0.7781580933904358, + 0.7475295536701775, + 0.7295334169359515, + 0.7232995218263498, + 0.7276997133969186, + 0.7413811157444538, + 0.7628043044532407, + 0.7902853867793436, + 0.8220409086279483, + 0.8562344457514681, + 0.8910237036381101, + 0.9246069469920266, + 0.9552676055157395, + 0.9814159571506745, + 1.0016268715596055, + 1.0146727033181415, + 1.019550553274694, + 1.0155032645416737, + 1.002033682830297, + 0.9789118851985381, + 0.9461752623389105, + 0.90412152272266, + 0.8532948676275768, + 0.7944657597662161, + 0.7286048705414444, + 0.656851937821166, + 0.5804803938712817, + 0.5008587285284831, + 0.41940963320949237, + 0.33756802494767696, + 0.2567390750076611, + 0.17825736315072388, + 0.1033482464321335, + 0.0330924713521606, + -0.03160502819744849, + -0.09004131524069324, + -0.14173591611369363, + -0.18644501851538486, + -0.22416901464759484, + -0.2551531767298564, + -0.27988143159323525, + -0.29906338149179373, + -0.3136148951396954, + -0.324632761793193, + -0.33336405765730986, + -0.3411710140219969, + -0.34949229674497717, + -0.35980170391963834, + -0.37356536029217036, + -0.3921985313579273, + -0.4170231958929345, + -0.449227502499339, + -0.4898281938278737, + -0.5396370124731371, + -0.5992320068039324, + -0.6689345355335581, + -0.7487926295951868, + -0.8385712123337752, + -0.9377495080664812, + -1.0455257889509386, + -1.1608294253247045, + -1.2823400198557933, + -1.4085132256014476, + -1.5376126769326215, + -1.6677473045525661, + -1.7969131655002544, + -1.9230387996421827, + -2.044033028762858, + -2.1578340454211924, + -2.262458598049148, + -2.3560500674376224, + -2.43692424816135, + -2.503611696284429, + -2.554895580774788, + -2.589844078652183, + -2.6078364805520793, + -2.6085823210598473, + -2.5921330132828793, + -2.558885645672155, + -2.509578786729765, + -2.445280335363208, + -2.367367646570505, + -2.2775003491579464, + -2.1775864497145165, + -2.0697424807281792, + -1.9562485965002974, + -1.8394996447980585, + -1.7219533419083781, + -1.606076751446327, + -1.494292311112395, + -1.388924665479408, + -1.2921495464457309, + -1.2059458965868486, + -1.1320523553739563, + -1.071929125917752, + -1.0267261130106968, + -0.9972580748585607, + -0.9839873646149073, + -0.9870146577016083, + -1.0060778712953364, + -1.0405592878955952, + -1.0895007002938932, + -1.1516262052669837, + -1.225372092535821, + -1.3089231083533777, + -1.4002542235606619, + -1.4971769076962804, + -1.5973888068524298, + -1.6985256459303117, + -1.7982141275907886, + -1.8941245816459717, + -1.984022130286872, + -2.0658151760411037, + -2.1376000896211487, + -2.1977010720712804, + -2.244704287403157, + -2.277485505180618, + -2.2952306537047296, + -2.297448859557987, + -2.2839777339535714, + -2.254980856036852, + -2.210937593322468, + -2.1526255851437854, + -2.0810963917819247, + -1.9976449754986723, + -1.9037738260281116, + -1.8011526686275, + -1.6915747945137718, + -1.5769111289798263, + -1.459063199913267, + -1.3399161877487995, + -1.221293226718074, + -1.1049120869960358, + -0.9923452990822059, + -0.8849846872938244, + -0.7840111610311578, + -0.6903704735342171, + -0.6047555017280051, + -0.5275954314135882, + -0.4590520537921698, + -0.39902319660966723, + -0.34715313068463544, + -0.3028496148237824, + -0.26530707360074285, + -0.23353524740070142, + -0.20639251639687264, + -0.18262298316546757, + -0.1608963053773582, + -0.13984920274252918, + -0.11812752278625827, + -0.09442773906511263, + -0.06753677332660053, + -0.036369079392309635, + -3.655086388617741e-16 + ], + [ + 0, + 0.04446966826029928, + 0.09554951172872507, + 0.153407999915542, + 0.21797011492200005, + 0.28891711065481307, + 0.36569315060572544, + 0.44751866456318345, + 0.5334100886276568, + 0.6222054852903498, + 0.7125953853693313, + 0.8031580552242308, + 0.8923982744225929, + 0.9787886139362373, + 1.0608121354532687, + 1.1370053903079602, + 1.20600058297657, + 1.2665657794662804, + 1.3176420849142256, + 1.3583767862720368, + 1.3881515533424382, + 1.4066049122708641, + 1.413648346896998, + 1.4094755416400866, + 1.3945644508975403, + 1.3696720600139027, + 1.335821887233835, + 1.2942844600787728, + 1.2465511786711683, + 1.1943021481747649, + 1.1393687184518058, + 1.083691607318113, + 1.0292756008954143, + 0.978141917526501, + 0.9322793881362686, + 0.8935956440483295, + 0.8638695120594375, + 0.8447057957145674, + 0.8374935716316746, + 0.8433690515388926, + 0.8631839562495016, + 0.8974802196054126, + 0.9464716915554933, + 1.0100333436050657, + 1.087698300910382, + 1.1786628376593342, + 1.2817992806619036, + 1.395676574964275, + 1.5185880794866733, + 1.6485859847308628, + 1.7835215828385698, + 1.9210904766936616, + 2.0588816928948637, + 2.194429566299312, + 2.325267193863837, + 2.448980214440885, + 2.5632596600617137, + 2.665952643371068, + 2.755109694832691, + 2.829027640940955, + 2.88628701908481, + 2.925783153393101, + 2.9467501657268587, + 2.948777363337381, + 2.931817625512472, + 2.896187601391269, + 2.842559725423828, + 2.7719462509602915, + 2.685675691459885, + 2.5853622382206383, + 2.4728688889922723, + 2.3502651693372396, + 2.219780454581831, + 2.0837540016132614, + 1.9445828741989684, + 1.8046689911621563, + 1.6663665425836314, + 1.531931004885677, + 1.4034709416020217, + 1.2829037039903783, + 1.1719160462427218, + 1.0719305463898225, + 0.9840785791685952, + 0.909180424727236, + 0.847732921112281, + 0.7999048833684215, + 0.765540322357515, + 0.7441693067444363, + 0.7350261266685484, + 0.7370742419588707, + 0.7490373356575553, + 0.7694356490443337, + 0.7966266508160759, + 0.8288489935539645, + 0.8642686374873806, + 0.9010259765601745, + 0.9372827859415334, + 0.9712678236940594, + 1.00131996187824, + 1.0259277927767978, + 1.0437647523165066, + 1.0537189226570065, + 1.0549168162345923, + 1.0467406007186801, + 1.0288383943721522, + 1.0011274399024979, + 0.9637901475421342, + 0.9172631802037953, + 0.8622199305428817, + 0.7995469071820765, + 0.7303147010201054, + 0.65574433861409, + 0.5771699446981734, + 0.4959987271171232, + 0.4136693625520328, + 0.3316098987950104, + 0.2511962980885305, + 0.1737127260010843, + 0.10031464200731371, + 0.03199567263203903, + -0.030440852363279248, + -0.0864049431620833, + -0.135536957120285, + -0.17771811274658386, + -0.21307422291836928, + -0.24197253702954738, + -0.26501176191965115, + -0.28300550995298296, + -0.29695959496877294, + -0.3080437586276631, + -0.31755855681894063, + -0.32689826451557724, + -0.33751076447962264, + -0.3508554677818014, + -0.3683603700711989, + -0.39137937544578666, + -0.4211510188674042, + -0.45875968829504044, + -0.5051003897620322, + -0.5608480138894776, + -0.6264319528777177, + -0.7020167855422568, + -0.7874895977088753, + -0.8824543399813795, + -0.9862334486542197, + -1.0978767727541194, + -1.2161776654251217, + -1.3396959157446715, + -1.4667870221440253, + -1.5956371453023526, + -1.7243029308107174, + -1.8507552637950415, + -1.9729259123074345, + -2.0887559363438823, + -2.1962446869002403, + -2.29349819593378, + -2.3787757641381346, + -2.4505335890144426, + -2.507464340049742, + -2.5485316793983013, + -2.572998843128844, + -2.5804505370509525, + -2.570807559011528, + -2.544333732526332, + -2.50163492047175, + -2.4436500778205144, + -2.371634494408531, + -2.2871355677635425, + -2.191961627469459, + -2.088144501922878, + -1.9778966714883799, + -1.8635639851997554, + -1.7475750279922513, + -1.6323883092631224, + -1.5204384992560205, + -1.4140829659472833, + -1.3155498611021545, + -1.2268889700259769, + -1.149926476060963, + -1.0862246995906963, + -1.0370477544146262, + -1.003333924671653, + -0.985675406414275, + -0.9843058833260341, + -0.9990962201790642, + -1.0295583649660698, + -1.0748573558969554, + -1.1338311373597354, + -1.2050177041765053, + -1.286688920524945, + -1.3768902029387566, + -1.4734851196471692, + -1.5742038444755448, + -1.6766943153491995, + -1.778574887226831, + -1.8774872384567807, + -1.971148288794547, + -2.057399916601557, + -2.1342553212830153, + -2.1999409633202736, + -2.252933126134688, + -2.2919882786842196, + -2.3161665717848754, + -2.324847970838356, + -2.317740708730755, + -2.2948819306673798, + -2.2566305929876296, + -2.2036528658763066, + -2.1369004707381074, + -2.0575825523980753, + -1.9671318400929885, + -1.8671659856823997, + -1.7594450793755942, + -1.6458264298515877, + -1.5282177548854083, + -1.4085299591103746, + -1.2886306766842903, + -1.1702997284591905, + -1.0551875865805393, + -0.9447778557707858, + -0.8403546720600391, + -0.7429757892047789, + -0.6534519738168142, + -0.5723331661032004, + -0.499901688250367, + -0.43617260129089674, + -0.38090112833588385, + -0.3335968819431458, + -0.29354446064498135, + -0.2598298186098045, + -0.23137166709081705, + -0.20695704035172166, + -0.18528005529345257, + -0.16498281560643258, + -0.1446973598767797, + -0.1230875299377515, + -0.09888964142321814, + -0.07095087276669082, + -0.03826435089587624, + -3.84594372545278e-16 + ], + [ + 0, + 0.04667876589314573, + 0.10006145944322882, + 0.16019207944161132, + 0.22687094293059656, + 0.29965826447584076, + 0.37788452660743443, + 0.4606673811016934, + 0.5469346495098829, + 0.6354528309285897, + 0.7248603795312806, + 0.8137048875502418, + 0.9004832044544978, + 0.9836834427061848, + 1.0618277667729674, + 1.1335148364366217, + 1.1974607785728233, + 1.2525375934667375, + 1.2978079616327198, + 1.332555503578802, + 1.356309655882599, + 1.3688644595923203, + 1.3702907080524729, + 1.3609410670278967, + 1.3414479563359127, + 1.312714164695949, + 1.2758963536068355, + 1.2323817871524, + 1.1837587981694635, + 1.1317816628210575, + 1.0783307012217522, + 1.025368547671106, + 0.9748936370577619, + 0.9288920314555232, + 0.8892887608284263, + 0.8578998727593893, + 0.8363863775964283, + 0.8262112374824945, + 0.8286004812408304, + 0.8445094335773506, + 0.874594928758431, + 0.9191942386676197, + 0.9783112863285491, + 1.051610542459614, + 1.1384188186256128, + 1.2377349805662576, + 1.3482474139612812, + 1.4683588869276982, + 1.5962182735541335, + 1.7297584351877753, + 1.8667394051323571, + 2.004795891620585, + 2.141488006629321, + 2.274354046975365, + 2.400964101189386, + 2.5189732322520326, + 2.62617299300233, + 2.720540067769475, + 2.800280899673854, + 2.863871256515666, + 2.9100898069673353, + 2.9380449200351726, + 2.947194061031593, + 2.937355332710261, + 2.908710896500193, + 2.8618022014022597, + 2.79751714239901, + 2.717069461452868, + 2.62197088768161, + 2.5139966846473736, + 2.3951454277205615, + 2.2675939694289635, + 2.1336486623169257, + 1.9956939944338172, + 1.8561398501022708, + 1.7173686367288232, + 1.5816835164822192, + 1.4512589497830706, + 1.3280946965637832, + 1.2139743327231434, + 1.110429225343527, + 1.0187087739064433, + 0.9397575693276607, + 0.8741999519935477, + 0.8223322683395092, + 0.7841229373568479, + 0.7592202483841369, + 0.7469676243090101, + 0.7464259044720992, + 0.7564020335309707, + 0.77548339041101, + 0.802076858943114, + 0.8344516320720219, + 0.8707846572499058, + 0.90920757380621, + 0.9478539650209574, + 0.9849057489222766, + 1.0186375623466877, + 1.0474580516843461, + 1.069947069418356, + 1.0848878858320707, + 1.0912936572675436, + 1.0884275427036314, + 1.0758160253632232, + 1.0532551713806935, + 1.0208097388364707, + 0.9788052331294174, + 0.927813184117205, + 0.8686300922062705, + 0.8022506503137069, + 0.7298359923589961, + 0.652677843087287, + 0.5721595454880579, + 0.48971501833778064, + 0.406786745582758, + 0.32478392019169905, + 0.24504185726217595, + 0.16878375479974425, + 0.0970858166598673, + 0.030846662300372432, + -0.029238165463116295, + -0.08269591767971918, + -0.12929005592124168, + -0.16902700776183804, + -0.20215607465834054, + -0.22916248484415247, + -0.2507537631800268, + -0.2678397649784207, + -0.281506887186628, + -0.29298712374651725, + -0.30362276853810466, + -0.31482768557408575, + -0.3280461590655923, + -0.3447104032327208, + -0.36619785153748896, + -0.39378935631165385, + -0.42862941219224115, + -0.4716894707440797, + -0.5237353402373522, + -0.5852995655450071, + -0.6566595609610169, + -0.7378221264328726, + -0.8285148187774085, + -0.9281844778592684, + -1.0360030277310777, + -1.1508804888587052, + -1.2714849543848135, + -1.3962691055125374, + -1.5235026729903443, + -1.651310097585093, + -1.7777125062414147, + -1.9006730058004928, + -2.0181442056268923, + -2.1281168166047797, + -2.228668138396386, + -2.3180092405854804, + -2.394529666613553, + -2.4568385417780285, + -2.5038010468019394, + -2.534569324709808, + -2.54860701841557, + -2.545706786419579, + -2.5260003106890605, + -2.4899604901057075, + -2.4383957004318693, + -2.372436192986905, + -2.2935128944526104, + -2.203329054772987, + -2.103825364441651, + -1.99713932228814, + -1.8855597762384586, + -1.771477678942083, + -1.657334194665592, + -1.5455673611004255, + -1.4385585480327234, + -1.3385799631981037, + -1.247744433850049, + -1.1679586411002179, + -1.100880904166235, + -1.0478845052060086, + -1.010027414999766, + -0.9880291285197811, + -0.9822551510732647, + -0.9927094943054632, + -1.0190353513168606, + -1.0605239261011743, + -1.1161311991676042, + -1.184502223271052, + -1.2640023652036008, + -1.352754745918645, + -1.4486829858324215, + -1.5495582384938709, + -1.6530493969130926, + -1.7567752850633074, + -1.8583576041257912, + -1.955473389927725, + -2.045905754992533, + -2.1275917352068325, + -2.198666136105983, + -2.2575003752950753, + -2.302735443009226, + -2.3333082491464703, + -2.3484707886418423, + -2.3478017337390966, + -2.331210247188074, + -2.298932000073619, + -2.2515175671951004, + -2.1898135570136414, + -2.1149370076530536, + -2.0282437410135556, + -1.9312915098207715, + -1.8257988939216463, + -1.7136009994230978, + -1.5966030850243982, + -1.4767332824585642, + -1.3558955913728148, + -1.2359243130109807, + -1.1185410422083837, + -1.0053152646870989, + -0.897629508346655, + -0.7966498757190394, + -0.7033026431088443, + -0.6182574537744782, + -0.5419174618355316, + -0.47441660472826214, + -0.41562399948684386, + -0.36515527649545504, + -0.3223904881982699, + -0.28649806398769306, + -0.25646413027724496, + -0.231126380406957, + -0.20921156587439954, + -0.18937559124529968, + -0.17024513217856987, + -0.15045966084470186, + -0.12871275646728345, + -0.10379160089803383, + -0.07461360944652057, + -0.04025922431950303, + -4.0436001113043336e-16 + ], + [ + 0, + 0.04891168557590492, + 0.1045624988360905, + 0.16687187232641923, + 0.23551746516145944, + 0.3099425137287049, + 0.3893698280138339, + 0.4728220752424618, + 0.5591478274522979, + 0.647052697747807, + 0.7351347552146543, + 0.8219232942228044, + 0.9059199430503728, + 0.98564103175254, + 1.0596601016715763, + 1.1266494299362821, + 1.185419462017571, + 1.2349550934542635, + 1.2744478170893907, + 1.3033228527277645, + 1.3212604995661343, + 1.328211095005564, + 1.3244031229766426, + 1.3103441867224597, + 1.286814740806705, + 1.2548546604506583, + 1.215742908561643, + 1.1709707374225564, + 1.1222090285244921, + 1.0712705262416022, + 1.0200678551159936, + 0.9705683230311559, + 0.9247466006251002, + 0.8845364286508586, + 0.8517825380132569, + 0.8281939709789848, + 0.8152999663780682, + 0.8144095170258354, + 0.8265756253503996, + 0.8525651752547242, + 0.8928352071588245, + 0.9475162321187273, + 1.0164030535670763, + 1.0989533856388947, + 1.19429436961812, + 1.3012368993519763, + 1.4182974772053913, + 1.5437271389152105, + 1.6755468130610287, + 1.811588323050785, + 1.9495401004219781, + 2.086996561325237, + 2.221510006189893, + 2.350643838060689, + 2.4720258595643996, + 2.5834004028265976, + 2.682678071093439, + 2.7679819247640935, + 2.837689026725763, + 2.8904663703318927, + 2.9253003454566597, + 2.941519050597486, + 2.9388069282812146, + 2.917211382947997, + 2.8771412306185815, + 2.81935702337333, + 2.7449534842751806, + 2.6553344751725576, + 2.552181096283708, + 2.4374136783086233, + 2.3131485711153146, + 2.1816507543383157, + 2.0452833915840576, + 1.9064555190493573, + 1.7675690995843005, + 1.6309666836377432, + 1.4988808989131304, + 1.3733869414709132, + 1.2563591637018081, + 1.149432751011532, + 1.0539713517962368, + 0.9710413775169686, + 0.9013935250707146, + 0.8454518962800659, + 0.8033109035661425, + 0.7747399613103692, + 0.759195773714773, + 0.7558418467719877, + 0.7635746787434645, + 0.7810559245504378, + 0.806749688578911, + 0.8389639810037638, + 0.8758952777247491, + 0.915675055645194, + 0.9564171349137361, + 0.9962646487876906, + 1.0334354801351529, + 1.0662650507154583, + 1.0932454239936056, + 1.1130597824032162, + 1.1246114630918531, + 1.1270468791138095, + 1.1197718121435594, + 1.1024607340363255, + 1.0750589936353674, + 1.0377778876055277, + 0.9910828151736821, + 0.9356748919329674, + 0.8724665629281733, + 0.8025519059563857, + 0.7271724486287725, + 0.6476794339450035, + 0.5654935561719183, + 0.48206324954427304, + 0.3988226452327833, + 0.31715031636879926, + 0.23832990661110148, + 0.16351368544396255, + 0.09368999446658369, + 0.029655445401039204, + -0.028007394943962077, + -0.07894624176391607, + -0.12304881975021621, + -0.16044581970335903, + -0.19150700007456828, + -0.21683052854474644, + -0.23722583571492617, + -0.25369042311628576, + -0.267381226726054, + -0.27958128095288215, + -0.2916625529667186, + -0.3050459201014539, + -0.3211593412140211, + -0.3413953243209248, + -0.36706881620220194, + -0.39937663431827, + -0.43935952740284806, + -0.48786788927125535, + -0.5455320622148441, + -0.6127380540001494, + -0.6896093587273452, + -0.7759954199409377, + -0.8714671081999982, + -0.9753194089460732, + -1.0865813343574033, + -1.2040328895053767, + -1.326228743130618, + -1.4515280812539475, + -1.5781299619676998, + -1.7041133461543305, + -1.8274808551952608, + -1.9462052061178703, + -2.05827719966983, + -2.1617540894624487, + -2.2548071418607374, + -2.3357672072755475, + -2.4031671637602905, + -2.4557801624326907, + -2.4926526996270724, + -2.513131660563954, + -2.516884620819166, + -2.50391285156151, + -2.4745566485263146, + -2.429492788760767, + -2.3697241088173198, + -2.2965613886395766, + -2.21159791220412, + -2.1166772544606736, + -2.0138550098563788, + -1.9053553266496623, + -1.7935232396340672, + -1.6807738986200533, + -1.5695398684583328, + -1.462217726568332, + -1.3611152045898411, + -1.26840011135489, + -1.1860522350697529, + -1.1158193543249848, + -1.059178391946606, + -1.0173026250666002, + -0.9910357220430239, + -0.9808732154592197, + -0.9869518442956202, + -1.009047011775664, + -1.0465784128751345, + -1.0986236917322312, + -1.1639397989138165, + -1.2409915363056898, + -1.327986607725356, + -1.4229163403200855, + -1.5236011091166466, + -1.6277393879376536, + -1.7329592669176976, + -1.8368712220235472, + -1.9371208965965845, + -2.0314406595595234, + -2.117698739394042, + -2.193944796399937, + -2.25845088648071, + -2.3097468854851977, + -2.346649581081481, + -2.3682847958171167, + -2.374102076544864, + -2.3638816675230387, + -2.3377336727391285, + -2.2960895027175194, + -2.2396858875928616, + -2.169541916984579, + -2.0869297338209223, + -1.993339659667997, + -1.890440659664612, + -1.7800371626918328, + -1.6640233343365305, + -1.5443359546021083, + -1.422907077923352, + -1.3016176493202594, + -1.1822532176712837, + -1.0664628260152056, + -0.9557220711193537, + -0.8513012125535746, + -0.754239078058284, + -0.6653233604945935, + -0.5850777359594312, + -0.5137560569307772, + -0.4513436930106951, + -0.3975659095203527, + -0.35190299545176423, + -0.3136116815779505, + -0.2817522311396902, + -0.25522044341956523, + -0.23278368822505713, + -0.21311998987169617, + -0.19485910514622445, + -0.1766244927606634, + -0.15707505311931685, + -0.13494552723792122, + -0.1090844820809549, + -0.07848887540873649, + -0.04233428475072494, + -4.246151540548198e-16 + ], + [ + 0, + 0.051147110603530214, + 0.10900995530434819, + 0.17338442462110493, + 0.2438286196383173, + 0.31967389187905704, + 0.4000423266789293, + 0.48387021736562436, + 0.5699369200433345, + 0.6568983367355296, + 0.7433241516731977, + 0.8277378447707455, + 0.9086584303931988, + 0.9846428203487781, + 1.0543276889311015, + 1.1164697253712694, + 1.1699831951081128, + 1.2139737949939085, + 1.2477678773753806, + 1.2709362317197426, + 1.2833117472829438, + 1.2850004328977394, + 1.276385436497007, + 1.258123883330087, + 1.2311365335703486, + 1.1965904426001757, + 1.155874986113939, + 1.110571782802971, + 1.062419205477453, + 1.0132723130405334, + 0.9650591571655448, + 0.9197345157369345, + 0.879232177570541, + 0.8454169477352443, + 0.8200375587456438, + 0.8046816594885783, + 0.8007340112174959, + 0.8093389492534505, + 0.8313680718266497, + 0.8673939960948146, + 0.917670878705894, + 0.982122237786803, + 1.060336438838999, + 1.1515700229598653, + 1.2547588665872298, + 1.368536972220222, + 1.49126250396237, + 1.6210505048275194, + 1.755811568905963, + 1.893295594751495, + 2.0311396203514818, + 2.1669186379075485, + 2.298198210928848, + 2.4225876687223327, + 2.5377926354615323, + 2.6416656631111572, + 2.73225377932727, + 2.8078418320611718, + 2.866990610281933, + 2.9085688426460563, + 2.931778320123938, + 2.936171551047944, + 2.9216615338337206, + 2.8885234194503058, + 2.8373880280352344, + 2.7692273771925566, + 2.685332568779661, + 2.5872845617835893, + 2.476918526818805, + 2.35628262877242, + 2.2275922145230918, + 2.0931804893156234, + 1.9554468457192717, + 1.8168040612132335, + 1.6796256031030703, + 1.5461942721728181, + 1.4186533794526037, + 1.2989615846909766, + 1.1888524322306004, + 1.0897995023233782, + 1.0029879564192024, + 0.9292930970858482, + 0.8692663908759455, + 0.8231292199095637, + 0.7907744396894103, + 0.771775631343985, + 0.7654037507528079, + 0.7706506994004722, + 0.7862591766752937, + 0.8107580246996459, + 0.8425021482615874, + 0.8797159871154846, + 0.9205394383554202, + 0.9630750746196985, + 1.0054354807486978, + 1.0457895376664714, + 1.0824065174356496, + 1.1136969166716475, + 1.138249045127907, + 1.1548604999575403, + 1.1625637910040318, + 1.1606455350390017, + 1.1486588032796392, + 1.1264283825753751, + 1.0940488919146527, + 1.0518758778086124, + 1.000510190092866, + 0.9407761092914368, + 0.8736938536668276, + 0.8004472345189053, + 0.7223473486959976, + 0.6407932946555254, + 0.5572309703519605, + 0.4731110559725406, + 0.3898473010066822, + 0.3087762229562956, + 0.2311192845247441, + 0.15794854842649445, + 0.09015671578656725, + 0.028432337837479855, + -0.026759145759969558, + -0.07518804167289478, + -0.11686637621170848, + -0.15204704701007118, + -0.1812161713129223, + -0.20507882713857595, + -0.22453855666693714, + -0.24067116495809165, + -0.25469349736006847, + -0.2679280118953827, + -0.28176407513143015, + -0.29761699866729274, + -0.31688589612803214, + -0.3409114758154024, + -0.37093489097940985, + -0.4080587478216259, + -0.45321132131229636, + -0.5071149519021473, + -0.5702594941189325, + -0.6428815633740261, + -0.724950183152389, + -0.8161592747015219, + -0.9159272593577239, + -1.0234038640447698, + -1.1374840377427946, + -1.2568287054344789, + -1.3798919107447327, + -1.5049537336120922, + -1.630158219028413, + -1.7535554209653006, + -1.8731465554303965, + -1.986931170986825, + -2.0929551862443327, + -2.189358613346889, + -2.274421785195432, + -2.346608932187283, + -2.404608011030682, + -2.4473657723928866, + -2.474117163771349, + -2.484408296411588, + -2.4781123571353634, + -2.4554380138989145, + -2.416930043682974, + -2.363462098532494, + -2.296221715631495, + -2.216687865554164, + -2.1266015146508015, + -2.027929848430167, + -1.922824958572306, + -1.8135779329990265, + -1.7025694028523237, + -1.592217689441375, + -1.4849257559859617, + -1.3830282017514195, + -1.2887395390894676, + -1.2041049668532733, + -1.130954797263388, + -1.07086360890055, + -1.025115088118903, + -0.9946733874712664, + -0.98016167595414, + -0.9818483857427035, + -0.999641477726914, + -1.0330908580097282, + -1.0813988842098319, + -1.1434387086236741, + -1.2177800197067383, + -1.3027215684402762, + -1.396329706202624, + -1.4964820196406596, + -1.6009150291506755, + -1.7072748237965534, + -1.8131694390655764, + -1.916221746366704, + -2.0141216154794424, + -2.1046761333991935, + -2.1858567145983954, + -2.255842017315079, + -2.313055686088189, + -2.3561980697436717, + -2.3842712131885424, + -2.396596586993011, + -2.3928251967361414, + -2.372939900064331, + -2.3372499487823544, + -2.2863779614067514, + -2.2212397138449966, + -2.143017307759239, + -2.053126433533287, + -1.9531785837569065, + -1.8449391904050707, + -1.7302827515999024, + -1.6111460797911312, + -1.4894808408369853, + -1.3672065619758373, + -1.2461652659387281, + -1.1280788390799483, + -1.0145101647216563, + -0.906828950920576, + -0.8061830571963279, + -0.7134759805961941, + -0.6293510014747414, + -0.5541823175883872, + -0.4880733158814594, + -0.43086194918389803, + -0.3821330045293687, + -0.3412368754628045, + -0.30731428690302826, + -0.2793262719515575, + -0.2560885692120045, + -0.23630949995872172, + -0.2186302995744743, + -0.20166681915709184, + -0.18405148250039716, + -0.16447438151067134, + -0.14172241953326875, + -0.11471546632343503, + -0.08253856908962527, + -0.04446936909140461, + -4.451648696675842e-16 + ], + [ + 0, + 0.05336371464901065, + 0.11336168139497572, + 0.17966837819980874, + 0.2517265070623794, + 0.3287616080761262, + 0.4098028603954423, + 0.4937095274390859, + 0.5792023550476828, + 0.6648991002543836, + 0.7493532581662634, + 0.8310949680082719, + 0.9086730188756039, + 0.9806968427472473, + 1.0458773777151618, + 1.1030657083485014, + 1.1512884420905622, + 1.1897788593226077, + 1.2180029782938169, + 1.2356798019539903, + 1.2427951587154469, + 1.2396087097068687, + 1.2266538671622471, + 1.2047305479132546, + 1.1748908680340617, + 1.1384180649566753, + 1.0967991073009065, + 1.0516916158638412, + 1.0048858675654113, + 0.9582627838873415, + 0.9137489131662797, + 0.8732694992413955, + 0.8387007852537194, + 0.8118227293542148, + 0.7942733079063614, + 0.7875055513960861, + 0.7927483993410487, + 0.8109723743869265, + 0.8428609645318585, + 0.8887884687007054, + 0.9488049079298779, + 1.0226284359358366, + 1.10964550293251, + 1.2089188396322885, + 1.319203138991138, + 1.4389681260902365, + 1.5664285261871012, + 1.699580271862936, + 1.8362421365142938, + 1.974101846988074, + 2.1107656162747266, + 2.2438099506397533, + 2.3708345265557615, + 2.4895149027882475, + 2.59765383277253, + 2.6932299720483357, + 2.7744428343141183, + 2.839752936229837, + 2.8879161833577895, + 2.918011684878448, + 2.9294623396788912, + 2.9220477073287547, + 2.8959088601828222, + 2.851545102941365, + 2.78980263883845, + 2.7118554525268532, + 2.6191788640461007, + 2.513516381519472, + 2.3968406382207084, + 2.2713093385515744, + 2.139217253916088, + 2.002945400657859, + 1.8649085959553535, + 1.727502622332594, + 1.59305223643736, + 1.4637612328934335, + 1.3416657200075117, + 1.2285916822792164, + 1.1261177970795686, + 1.0355443422120054, + 0.9578688805977614, + 0.8937692417605314, + 0.8435941412416018, + 0.8073615929592879, + 0.7847650804179599, + 0.7751872652189655, + 0.7777208301250809, + 0.7911958834151994, + 0.8142131955969873, + 0.8451824025073589, + 0.8823641937402772, + 0.9239154149652922, + 0.9679359491874391, + 1.0125162068289404, + 1.055784048459138, + 1.095949987111584, + 1.1313495687321593, + 1.160481908020298, + 1.182043460706159, + 1.1949562394815747, + 1.1983898261511374, + 1.191776693401503, + 1.1748205218334313, + 1.1474973772173136, + 1.1100497948075274, + 1.0629739974166141, + 1.0070006473000626, + 0.9430696944000023, + 0.8723000310855171, + 0.7959547925325338, + 0.715403249103733, + 0.6320803198663539, + 0.5474447926880217, + 0.46293736481047515, + 0.37993961775194995, + 0.2997350118818538, + 0.22347292981293013, + 0.1521367153282126, + 0.08651654802396003, + 0.027187865931417275, + -0.02550409765745932, + -0.07145325737455609, + -0.1107948639470705, + -0.14390087907970678, + -0.17136865701532325, + -0.1940032279564168, + -0.21279364626502129, + -0.2288840223515801, + -0.2435399974456015, + -0.2581115414377334, + -0.27399305260339557, + -0.2925818117325788, + -0.315235890094315, + -0.34323262952624134, + -0.3777288032326257, + -0.4197235277895678, + -0.47002493129902617, + -0.5292214912011631, + -0.597658840197196, + -0.6754227028993652, + -0.7623284725841526, + -0.8579177705957097, + -0.9614621546921395, + -1.0719739613561503, + -1.1882240853458323, + -1.3087663221044714, + -1.4319677295514148, + -1.5560443095048744, + -1.6791011694982658, + -1.7991762065886128, + -1.9142862589653866, + -2.0224746012210417, + -2.1218586168731197, + -2.210676468279759, + -2.2873315998998045, + -2.3504339556229485, + -2.398836863622457, + -2.431668641154833, + -2.448358094585048, + -2.4486532336929816, + -2.4326326805328513, + -2.4007094278498284, + -2.3536267860417355, + -2.2924465463862536, + -2.218529577106904, + -2.1335092531839472, + -2.0392582960908263, + -1.9378497615311692, + -1.8315130577640963, + -1.7225860006573313, + -1.6134640111287786, + -1.5065476336442452, + -1.4041895990964028, + -1.3086426705554328, + -1.2220094956371312, + -1.146195644892328, + -1.08286694272328, + -1.0334120976193686, + -0.998911514375747, + -0.9801130254140323, + -0.9774151148895623, + -0.9908580319106168, + -1.020123002218941, + -1.0645395556317359, + -1.1231007940917728, + -1.1944862369924947, + -1.277091701112002, + -1.3690655063590023, + -1.468350149635559, + -1.5727284610624344, + -1.679873152687122, + -1.7873985921090267, + -1.8929135840658025, + -1.9940739230923654, + -2.088633490327341, + -2.174492707106048, + -2.2497432261242833, + -2.312707835963085, + -2.361974674255317, + -2.3964249857750075, + -2.4152538207435765, + -2.417983241738116, + -2.4044677904825313, + -2.3748921539954977, + -2.3297611584311637, + -2.269882403843143, + -2.1963420295004137, + -2.110474262975376, + -2.013825553024257, + -1.9081142127269677, + -1.79518660239586, + -1.6769709589360045, + -1.555430027822884, + -1.4325136745280798, + -1.310112643655635, + -1.1900145965645779, + -1.0738634928769493, + -0.963123289725153, + -0.8590468172454202, + -0.7626505526290988, + -0.6746958614663174, + -0.5956771080499679, + -0.5258168599708344, + -0.4650682311696212, + -0.41312422617214895, + -0.3694337710713968, + -0.3332239483698251, + -0.30352779726672546, + -0.2792169022464725, + -0.25903787434473746, + -0.24165173417825275, + -0.22567513607050207, + -0.20972233009728206, + -0.1924467446323514, + -0.17258108630307029, + -0.14897489675885248, + -0.12062857519358583, + -0.08672297034970157, + -0.046643763335028815, + -4.658115920407988e-16 + ], + [ + 0, + 0.05554036752282504, + 0.11757646121444242, + 0.18566455611949234, + 0.2591371293561601, + 0.33712090188348803, + 0.4185607587094168, + 0.5022489200915217, + 0.5868585977952995, + 0.6709812514714695, + 0.7531664637332651, + 0.8319633810309844, + 0.9059626227804086, + 0.9738375445761347, + 1.0343837531783697, + 1.0865558110540516, + 1.1295001356213967, + 1.1625831913450306, + 1.185414189163992, + 1.19786164452453, + 1.2000632991327072, + 1.1924290786035177, + 1.1756369342901818, + 1.1506215983214503, + 1.1185564617234938, + 1.0808289619117624, + 1.0390100333643748, + 0.9948183297021078, + 0.950080062789449, + 0.9066854213414319, + 0.8665426248813355, + 0.831530736333455, + 0.8034523962820499, + 0.7839876528966935, + 0.7746500433433067, + 0.7767460355209463, + 0.7913388642545153, + 0.8192176953915654, + 0.8608729270038725, + 0.9164782920774569, + 0.985880265200304, + 1.0685951007668828, + 1.163813646387136, + 1.270413887016896, + 1.3869809874343324, + 1.511834417693981, + 1.6430615726037372, + 1.7785571363761246, + 1.9160673013579592, + 2.053237828669496, + 2.187664841697753, + 2.316947173110106, + 2.4387390441562973, + 2.5508018425850656, + 2.6510537828722716, + 2.7376162792633134, + 2.8088559372760966, + 2.863421170997084, + 2.900272579285569, + 2.9187063608418184, + 2.918370212436308, + 2.8992713324537327, + 2.8617763389570396, + 2.8066031031783973, + 2.734804691035563, + 2.647745792293864, + 2.5470721948007267, + 2.434674025492896, + 2.312643626629824, + 2.1832290613853744, + 2.048784344495622, + 1.9117175686687886, + 1.7744381441208017, + 1.6393043858099765, + 1.5085726703325057, + 1.384349342363718, + 1.2685464800674535, + 1.162842531820599, + 1.0686487153367359, + 0.987081927834955, + 0.9189447558180076, + 0.864712999253874, + 0.8245309417843065, + 0.798214410522529, + 0.7852614806724867, + 0.7848704962236298, + 0.7959649028515545, + 0.8172242271619553, + 0.8471203914962201, + 0.8839584291848425, + 0.9259205643865805, + 0.9711125458942822, + 1.0176110772815683, + 1.0635111675761837, + 1.1069722376273758, + 1.1462618571141039, + 1.179796054631848, + 1.2061752367272287, + 1.2242148687088792, + 1.232970207558868, + 1.2317545318047514, + 1.2201504808755235, + 1.1980142930238333, + 1.1654729119070997, + 1.12291411283591, + 1.0709699759840985, + 1.0104942011018077, + 0.9425339123046664, + 0.8682967384925142, + 0.7891140714763475, + 0.7064014970779349, + 0.621617462017898, + 0.5362212796768553, + 0.4516315898397335, + 0.3691863710653856, + 0.290105559828358, + 0.21545725922773268, + 0.14612842369389192, + 0.08280078722070794, + 0.0259326642459671, + -0.024252902076018237, + -0.06777333589075975, + -0.10488493487196919, + -0.13607453021791974, + -0.1620446204853347, + -0.1836923702423174, + -0.20208302549049453, + -0.21841844473978173, + -0.23400157377695238, + -0.2501978002574373, + -0.26839420850333984, + -0.28995781314254476, + -0.3161938809601026, + -0.34830545273114527, + -0.3873551507541101, + -0.43423030390949086, + -0.4896123416391494, + -0.5539513032499457, + -0.6274461819888574, + -0.7100316775663906, + -0.8013717698501428, + -0.9008603543276946, + -1.0076290009513464, + -1.1205617166112647, + -1.2383164122909236, + -1.3593526034470658, + -1.4819647106759493, + -1.6043201813614005, + -1.724501525463865, + -1.8405512531554642, + -1.9505186213443606, + -2.052507042359839, + -2.144720982620631, + -2.2255111827141416, + -2.293417062984087, + -2.347205239746718, + -2.3859031652139406, + -2.40882701700624, + -2.41560309807998, + -2.406182161708016, + -2.3808462451015475, + -2.3402077752236488, + -2.2852008969194944, + -2.2170651621005755, + -2.1373219047368894, + -2.0477438052537935, + -1.9503183151881787, + -1.8472057645001931, + -1.7406931060081716, + -1.633144360736228, + -1.5269489118105484, + -1.4244688508084764, + -1.3279866077253601, + -1.2396540932588906, + -1.1614445499311041, + -1.095108247412524, + -1.042133068732681, + -1.0037109199832706, + -0.9807107593954951, + -0.9736588856093086, + -0.9827269533325868, + -1.0077280015785746, + -1.0481205897162176, + -1.1030209442870222, + -1.1712228296084404, + -1.2512246722138178, + -1.3412632976184176, + -1.4393534819151288, + -1.54333238407442, + -1.650907810857586, + -1.759709177699947, + -1.8673399679076579, + -1.9714304604861672, + -2.069689494619206, + -2.159954066252477, + -2.240235608685886, + -2.308761893111472, + -2.3640135945456278, + -2.404754700866721, + -2.430056094399639, + -2.4393118029334793, + -2.432247596081963, + -2.4089217890863805, + -2.369718304937488, + -2.315332232420522, + -2.2467482977905386, + -2.165212836860348, + -2.0722000082082266, + -1.9693731232476288, + -1.8585420817814715, + -1.7416179896782737, + -1.6205660963677115, + -1.4973582225401618, + -1.3739258520378062, + -1.2521150364532951, + -1.133644207137785, + -1.0200659085970705, + -0.912733361720148, + -0.8127726376502459, + -0.7210610766279409, + -0.63821242452527, + -0.5645689871345693, + -0.5002009229268951, + -0.4449126134620679, + -0.3982558714702837, + -0.3595495743201102, + -0.32790514944556476, + -0.30225719234459697, + -0.28139837061411604, + -0.2640176623062399, + -0.2487408962746117, + -0.23417250810600915, + -0.21893739900955778, + -0.20172178727088294, + -0.1813119724631833, + -0.15662999072034314, + -0.12676522350647845, + -0.09100113029621104, + -0.04883640464639483, + -4.863570375660231e-16 + ], + [ + 0, + 0.057656338254072945, + 0.12161440416111013, + 0.19131652427044252, + 0.2659910869032338, + 0.3446738351893168, + 0.42623468126911246, + 0.5094093353681423, + 0.5928349162209046, + 0.6750886033244863, + 0.7547283094509517, + 0.8303342958506006, + 0.9005506240904607, + 0.964125338257283, + 1.0199482993643527, + 1.0670856495763288, + 1.1048099659490238, + 1.1326252697510402, + 1.1502861854576354, + 1.1578106900020142, + 1.155486054184438, + 1.1438677502457026, + 1.123771278201398, + 1.0962570441289856, + 1.0626086016642595, + 1.0243047390145434, + 0.9829860535166716, + 0.9404168001162346, + 0.898442925453918, + 0.8589473023156787, + 0.8238032573841585, + 0.794827536482326, + 0.7737338744558556, + 0.7620883308289743, + 0.7612675174390632, + 0.7724207811769098, + 0.7964373152018249, + 0.833919057699041, + 0.8851601011497267, + 0.9501331804865875, + 1.0284836391709282, + 1.119531092283572, + 1.222278819576667, + 1.335430733653008, + 1.4574155836405622, + 1.586417877464311, + 1.7204148404605046, + 1.857218578718737, + 1.9945224858784287, + 2.129950825371377, + 2.2611103389568457, + 2.385642678879901, + 2.501276436461551, + 2.6058775450543257, + 2.6974968699959083, + 2.7744138616673513, + 2.8351752385051765, + 2.8786277826527384, + 2.9039444690728176, + 2.9106433060393124, + 2.8985984371735856, + 2.8680432384098484, + 2.8195653330132164, + 2.754093639422051, + 2.6728777555839622, + 2.5774601650107076, + 2.4696419195791917, + 2.35144260803114, + 2.2250555534392586, + 2.092799294361507, + 1.9570664903074413, + 1.8202714504284043, + 1.6847975136326414, + 1.5529455079426553, + 1.4268844869111394, + 1.3086058820723034, + 1.1998821242148099, + 1.102230674875068, + 1.0168842756360676, + 0.9447680698936309, + 0.8864840834997783, + 0.8423033712628466, + 0.8121659500947275, + 0.7956884512242043, + 0.7921792379638544, + 0.8006605565796036, + 0.8198971202384774, + 0.8484303738841605, + 0.8846175549045763, + 0.9266745538237243, + 0.9727214936246246, + 1.020829887721388, + 1.0690702064016746, + 1.1155586804070212, + 1.1585021981363095, + 1.196240208958555, + 1.2272826278187918, + 1.2503428435690986, + 1.2643650625051608, + 1.2685453661498474, + 1.2623460246593112, + 1.2455027802336456, + 1.2180249942366688, + 1.1801887328621656, + 1.1325230445862717, + 1.0757898538536939, + 1.0109580551843556, + 0.9391725361767763, + 0.8617189831392711, + 0.7799854261969648, + 0.6954215591590395, + 0.6094969212667707, + 0.5236590519293373, + 0.43929272514283235, + 0.357681337643864, + 0.27997146484761853, + 0.2071415128232104, + 0.13997528517559465, + 0.07904115353413599, + 0.024677372714985744, + -0.02301607971290595, + -0.06417893066701472, + -0.09918527300184399, + -0.12863160555817107, + -0.15331856946968622, + -0.17422686354736386, + -0.1924879744172611, + -0.2093504937492333, + -0.22614291190170213, + -0.24423387163423926, + -0.2649909347878671, + -0.28973895721479315, + -0.3197191816421283, + -0.35605014416876635, + -0.39969144802567114, + -0.45141138908922424, + -0.5117593231189682, + -0.5810435471294365, + -0.6593153296179048, + -0.74635956998298, + -0.8416924002350661, + -0.9445658662006301, + -1.05397964526358, + -1.1686995777912816, + -1.2872826142828062, + -1.4081076143669744, + -1.5294112812596423, + -1.6493283800299428, + -1.7659352734684448, + -1.8772957184302212, + -1.9815078005955165, + -2.0767508483583783, + -2.1613311580436187, + -2.233725383174864, + -2.2926204896617284, + -2.3369492554189875, + -2.3659203952678505, + -2.379042517548893, + -2.3761412646672664, + -2.357369152254323, + -2.323207796806954, + -2.2744624052743365, + -2.212248587602194, + -2.137971740110635, + -2.0532994291753375, + -1.9601273765253795, + -1.8605398053193491, + -1.7567650461065774, + -1.6511274203475235, + -1.5459965134040463, + -1.4437350164549545, + -1.346646355939112, + -1.2569233388639862, + -1.176599022351572, + -1.1075009665635438, + -1.051209952808545, + -1.009024145034303, + -0.9819295455363907, + -0.9705774476514669, + -0.9752694230301457, + -0.9959502028104369, + -1.0322086249654423, + -1.0832866288242384, + -1.1480960869119337, + -1.2252430784637778, + -1.313059032754105, + -1.4096380080250084, + -1.5128792272414633, + -1.62053386864302, + -1.7302550100866343, + -1.8396495538642879, + -1.9463309147624666, + -2.0479712396395713, + -2.142351942043025, + -2.2274113799513215, + -2.3012885774708054, + -2.3623619904160083, + -2.4092824386860605, + -2.440999472164579, + -2.4567805979569552, + -2.4562229711590837, + -2.4392573347268502, + -2.406144181874417, + -2.3574623021576984, + -2.2940900553955275, + -2.2171798913685574, + -2.128126793574675, + -2.0285314683096902, + -1.920159222519729, + -1.8048955722952715, + -1.6846996961970153, + -1.5615568921232448, + -1.4374312121405568, + -1.3142194363145274, + -1.1937075045252383, + -1.0775304556757082, + -0.967136828421649, + -0.8637583590238589, + -0.7683856731791441, + -0.6817505132464587, + -0.6043148740838927, + -0.5362672439917997, + -0.47752596646196055, + -0.4277495581002593, + -0.3863536427367326, + -0.3525339957455939, + -0.32529504010871474, + -0.3034830005642244, + -0.28582280764186824, + -0.27095775233022495, + -0.2574908267859052, + -0.2440266484709676, + -0.22921285529358276, + -0.21177987792037112, + -0.1905780419048478, + -0.16461102541268374, + -0.13306479622958875, + -0.09533127189854734, + -0.05102608617906895, + -5.06604121830255e-16 + ], + [ + 0, + 0.05969149344005948, + 0.12543732401688276, + 0.19657112369006496, + 0.2722242275352023, + 0.35135001345376393, + 0.4327533604716156, + 0.5151244470938614, + 0.5970759962335493, + 0.6771829810721101, + 0.7540237392011386, + 0.82622140226728, + 0.892484536147871, + 0.9516459027755495, + 1.0026982987444903, + 1.0448264967053689, + 1.0774344115496404, + 1.1001667321212656, + 1.1129243977254863, + 1.115873453577633, + 1.1094469866821952, + 1.09434001926572, + 1.0714974164032913, + 1.0420950433686613, + 1.0075145820006, + 0.9693125796302319, + 0.929184454702432, + 0.8889243163280114, + 0.8503815672304669, + 0.8154153480232286, + 0.7858479431787444, + 0.7634183037818223, + 0.749736848235005, + 0.7462426792533566, + 0.754164304218191, + 0.7744848674305443, + 0.8079127988717086, + 0.8548586572310524, + 0.9154187982656087, + 0.9893663365752726, + 1.0761496935868275, + 1.1748988412275476, + 1.2844391639303847, + 1.4033126758400618, + 1.5298061499573667, + 1.6619855459131414, + 1.7977359673077875, + 1.9348062419472625, + 2.070857102272122, + 2.2035118517069727, + 2.330408337851521, + 2.4492510170335597, + 2.557861887697139, + 2.6542290926321166, + 2.7365520416673195, + 2.803281985935035, + 2.8531570802728417, + 2.885231099223468, + 2.8988951213119956, + 2.893891662209519, + 2.870320916008821, + 2.8286389508038043, + 2.7696478955371107, + 2.694478345022043, + 2.6045643945376784, + 2.5016118899554787, + 2.387560639740428, + 2.2645414774868513, + 2.1348291844483063, + 2.00079237788149, + 1.8648415406233927, + 1.729376408494972, + 1.5967339439052664, + 1.4691381061708488, + 1.3486525820464328, + 1.237137564977222, + 1.136211570510465, + 1.0472191506576987, + 0.971205224871419, + 0.9088965832778217, + 0.8606909428897569, + 0.826653754017995, + 0.8065227665168653, + 0.7997201784455398, + 0.8053720077812621, + 0.8223341554331168, + 0.8492244691778789, + 0.8844599771284376, + 0.9262983393632414, + 0.9728824702784011, + 1.0222872143620976, + 1.072566916070191, + 1.1218027112466866, + 1.168148383312461, + 1.2098736717503602, + 1.24540399204884, + 1.2733556233579935, + 1.292565540162482, + 1.3021152042211452, + 1.3013477893116352, + 1.2898784799993819, + 1.2675976624732743, + 1.2346670060116467, + 1.1915086133341881, + 1.1387875924619828, + 1.0773885673940025, + 1.0083867958104036, + 0.9330146953791835, + 0.8526246927679797, + 0.7686493983690172, + 0.6825601728516594, + 0.5958251874329747, + 0.5098680873597797, + 0.42602834739185624, + 0.3455243596427546, + 0.2694202192451053, + 0.19859707389925632, + 0.13372978198906885, + 0.07526948370979214, + 0.023432534125098006, + -0.02180391978854186, + -0.06069961000046831, + -0.09374213469789008, + -0.12163150528886427, + -0.1452586650095696, + -0.16567854903325585, + -0.18407839945454163, + -0.20174217380114115, + -0.22001198961259316, + -0.24024762746647696, + -0.2637851685755469, + -0.29189586932855, + -0.3257463731988504, + -0.36636133030326873, + -0.4145894372731943, + -0.47107382640790535, + -0.5362276253804175, + -0.6102153797299565, + -0.6929408832134304, + -0.7840417994724578, + -0.8828912864430747, + -0.9886066568013574, + -1.1000649279694352, + -1.2159249383225768, + -1.3346555366950916, + -1.454569194362212, + -1.5738602463768492, + -1.6906468460813064, + -1.8030156159405133, + -1.9090679021475951, + -2.0069664917110597, + -2.0949816302542152, + -2.1715351871492166, + -2.2352418517611077, + -2.284946309666575, + -2.319755439216843, + -2.33906468455397, + -2.342577898378046, + -2.330320103075143, + -2.3026427884709184, + -2.260221544328704, + -2.204046011357785, + -2.1354023213797353, + -2.055848380820106, + -1.9671825273255328, + -1.8714062527144895, + -1.7706818326076992, + -1.6672858303015217, + -1.563559546576128, + -1.4618575655662813, + -1.3644955975894468, + -1.2736988416246506, + -1.1915520823765404, + -1.1199526996777, + -1.0605677022375035, + -1.0147958049961856, + -0.9837354518125492, + -0.9681595457356743, + -0.9684974910581515, + -0.9848249785510934, + -1.0168617619331162, + -1.063977484180531, + -1.125205421348548, + -1.199263823785291, + -1.2845843545475075, + -1.3793469568447854, + -1.481520330527999, + -1.5889070656803799, + -1.69919237246139, + -1.8099952631242409, + -1.9189209865765988, + -2.0236134893017614, + -2.121806679511847, + -2.211373303949761, + -2.290370307952575, + -2.3570796376948904, + -2.4100435567430973, + -2.4480936843584056, + -2.470373117038924, + -2.4763511637828355, + -2.465830405321322, + -2.4389459736869976, + -2.3961571363796446, + -2.338231454458628, + -2.266221961601724, + -2.1814379771841477, + -2.0854103167077818, + -1.9798517938033826, + -1.8666140163785705, + -1.7476415626961728, + -1.6249246792712944, + -1.5004516701781536, + -1.3761621460693538, + -1.2539022710630814, + -1.135383087492231, + -1.0221429138725893, + -0.9155147025275613, + -0.8165991128937855, + -0.7262439079446514, + -0.6450301181696051, + -0.5732652442493684, + -0.5109835903324643, + -0.45795363914557347, + -0.4136922025855361, + -0.37748491138377277, + -0.34841244914699776, + -0.3253817935012101, + -0.3071616037386059, + -0.29242079334033616, + -0.2797692495089421, + -0.26779961225440657, + -0.25512900382722287, + -0.2404396058703633, + -0.2225170163469852, + -0.20028538016397365, + -0.17283837484229883, + -0.1394652433319729, + -0.09967119729581529, + -0.053191662542791986, + -5.263588573108698e-16 + ], + [ + 0, + 0.061626488865483546, + 0.12900909959647042, + 0.20137896823098325, + 0.2777782408348025, + 0.35708722920300767, + 0.43805624118266534, + 0.5193412420563507, + 0.599542401663977, + 0.6772445043174334, + 0.7510581470721016, + 0.8196606278977454, + 0.8818354293840999, + 0.9365092357619158, + 0.9827854804501724, + 1.019973506599078, + 1.0476125320791512, + 1.0654897403625379, + 1.0736519665150492, + 1.0724106093757673, + 1.0623395728953804, + 1.0442662172255617, + 1.0192554790393482, + 0.9885874962159356, + 0.9537292400144304, + 0.9163008139444716, + 0.8780372187611873, + 0.8407465037999204, + 0.8062653231325367, + 0.7764129882376637, + 0.7529451551169527, + 0.7375083018119768, + 0.7315961415350307, + 0.7365090772905016, + 0.7533177368117497, + 0.7828315334428182, + 0.8255730814789718, + 0.8817591562680464, + 0.9512887334184223, + 1.0337384715590479, + 1.1283658234057867, + 1.2341197748113553, + 1.3496590255606158, + 1.473377243496544, + 1.603434849619331, + 1.7377966303918373, + 1.8742743286085883, + 2.0105732394411735, + 2.144341736770831, + 2.2732225792011063, + 2.394904797122956, + 2.5071749431157513, + 2.607966498335722, + 2.695406267170993, + 2.767856660413359, + 2.8239528618989325, + 2.862633992732499, + 2.8831675279622426, + 2.885166379508883, + 2.8685982324248354, + 2.833786904959727, + 2.781405691983542, + 2.712462841472008, + 2.6282795003674475, + 2.5304606446548004, + 2.420859674597816, + 2.3015375057289233, + 2.1747171157471565, + 2.04273461381278, + 1.9079879792664378, + 1.7728846696091143, + 1.639789321401056, + 1.5109727620292077, + 1.3885635152316658, + 1.2745029197537188, + 1.170504890136249, + 1.0780212336559543, + 0.9982133006988335, + 0.9319305907356019, + 0.8796967664075623, + 0.8417033482027717, + 0.8178111762317507, + 0.8075595382645943, + 0.8101826790579085, + 0.8246332295836535, + 0.8496119303770803, + 0.8836028748472826, + 0.9249133696379493, + 0.9717174030927146, + 1.0221016321068648, + 1.0741127440426093, + 1.1258050251815852, + 1.1752869709118465, + 1.220765805307751, + 1.2605888380573176, + 1.2932806732333426, + 1.3175753949543183, + 1.3324429867102694, + 1.3371093906892375, + 1.3310697770476014, + 1.3140947665969662, + 1.2862295294682606, + 1.2477858624680744, + 1.199327524553445, + 1.1416492787055799, + 1.0757502452714727, + 1.0028023126663412, + 0.9241144726971674, + 0.8410940466799298, + 0.7552058425493514, + 0.6679303304973232, + 0.580721944193622, + 0.49496860590909725, + 0.41195353715606897, + 0.33282035276428396, + 0.25854234728169245, + 0.1898967705210245, + 0.1274447568362171, + 0.07151742368291218, + 0.02220849299043831, + -0.0206263820305052, + -0.057363577457348734, + -0.08859891493168412, + -0.1151288731110827, + -0.13792609618460114, + -0.15810985091211924, + -0.1769122165716414, + -0.19564090509112095, + -0.2156396986225482, + -0.2382475565819199, + -0.26475748205935007, + -0.29637624750478103, + -0.3341860614237132, + -0.37910921189028635, + -0.43187665011713167, + -0.49300137989961496, + -0.5627573988908166, + -0.6411647983446462, + -0.7279814726634629, + -0.8227017226856924, + -0.9245618613407951, + -1.0325527514824235, + -1.145439027879549, + -1.2617845829790648, + -1.37998373350137, + -1.498297336307074, + -1.614892991051675, + -1.7278883572650041, + -1.8353965274751922, + -1.9355723380734853, + -2.0266584673732995, + -2.1070301666529545, + -2.1752374950770665, + -2.2300439827401273, + -2.2704607264385395, + -2.2957750282502727, + -2.3055728150535053, + -2.2997542246493916, + -2.2785419075825333, + -2.242481769086568, + -2.192436058529206, + -2.12956889980097, + -2.0553245407083707, + -1.971398778044723, + -1.879704183209919, + -1.7823299068709537, + -1.6814969763871463, + -1.579510113203153, + -1.4787071863031467, + -1.3814074798875249, + -1.2898599870991958, + -1.2061929460086922, + -1.132365809000223, + -1.0701247827435836, + -1.0209629943575735, + -0.9860862321160336, + -0.9663850786973919, + -0.9624141046791701, + -0.9743786233695947, + -1.002129329189321, + -1.0451649550110922, + -1.1026428936729842, + -1.1733975399257064, + -1.255965925950238, + -1.3486200507414459, + -1.4494051452957142, + -1.5561829755119496, + -1.6666791664100555, + -1.7785334375524453, + -1.889351572680882, + -1.9967579081533662, + -2.0984471156874265, + -2.192234075369244, + -2.276100684332972, + -2.348238523700882, + -2.4070864093737057, + -2.4513619785123963, + -2.480086609931503, + -2.4926031395143293, + -2.4885860071455754, + -2.4680436552222345, + -2.431313186038193, + -2.379047471650172, + -2.31219509066132, + -2.2319736372865857, + -2.139837104925931, + -2.0374381854578028, + -1.9265864432148674, + -1.8092034162866388, + -1.6872757651802421, + -1.5628076283855388, + -1.4377733551527168, + -1.314071767629965, + -1.1934830579744793, + -1.07762935239129, + -0.9679398751910555, + -0.8656215244314464, + -0.7716355296144085, + -0.6866807048314366, + -0.6111836416481291, + -0.5452960091547782, + -0.4888989484240186, + -0.4416143696237758, + -0.4028227867101347, + -0.3716871612945881, + -0.34718207801033496, + -0.3281274421993581, + -0.3132257802616843, + -0.3011021362734099, + -0.29034549761442324, + -0.2795506488215666, + -0.2673593474817165, + -0.2524997387780704, + -0.23382297566984175, + -0.21033608829665112, + -0.1812302470720532, + -0.1459036864756852, + -0.10397869763732434, + -0.05531225383177737, + -5.454322126788757e-16 + ], + [ + 0, + 0.06344295246763644, + 0.1322960133541769, + 0.20569490264796744, + 0.28260119190818117, + 0.361832021504311, + 0.4420940113909756, + 0.5220204645778409, + 0.6002108746626721, + 0.6752716862737922, + 0.7458572216275688, + 0.8107096785819766, + 0.8686971257939032, + 0.9188484683946847, + 0.9603844318195648, + 0.9927437102305097, + 1.0156035469054796, + 1.028894154018482, + 1.0328065349061262, + 1.0277934393128383, + 1.0145633570323298, + 0.9940676334251266, + 0.9674809670122289, + 0.9361757202696096, + 0.9016906355603903, + 0.8656946947685913, + 0.8299469899144809, + 0.7962535795507629, + 0.7664223892978651, + 0.7422172723042079, + 0.7253123751897016, + 0.717247956309966, + 0.7193887758351258, + 0.7328861217530374, + 0.7586444537638115, + 0.797293540080218, + 0.8491668329571317, + 0.9142866804708721, + 0.9923568082652484, + 1.0827623296767903, + 1.184577360142121, + 1.2965801265584094, + 1.4172752788727425, + 1.5449229341420492, + 1.677573817006951, + 1.813109709080888, + 1.9492882869300296, + 2.083791317419499, + 2.2142750930017585, + 2.338421930195166, + 2.4539915235589334, + 2.558870945732625, + 2.6511221116768544, + 2.7290255815078335, + 2.7911196599402994, + 2.836233859344212, + 2.8635159251607885, + 2.8724517737322195, + 2.862877859814021, + 2.834985670104305, + 2.7893182256924023, + 2.7267586658664267, + 2.648511173617366, + 2.556074684866922, + 2.4512099945095907, + 2.335901028638523, + 2.2123111900238235, + 2.0827357996910374, + 1.949551748503861, + 1.8151655367930983, + 1.6819609157567101, + 1.552247350746241, + 1.428210503532108, + 1.3118658788048736, + 1.205016700827396, + 1.1092169812820067, + 1.0257406115597318, + 0.9555571651755423, + 0.8993149323067449, + 0.8573315326718756, + 0.8295922694182474, + 0.8157561998730747, + 0.8151697135152276, + 0.8268872278799401, + 0.849698443703124, + 0.8821614455703591, + 0.9226407974212755, + 0.9693496667812738, + 1.0203949203223106, + 1.0738240684618865, + 1.1276728997075194, + 1.1800126371629922, + 1.2289954701406718, + 1.2728973625657223, + 1.3101571155098335, + 1.3394107617871718, + 1.3595204935015464, + 1.3695974656208192, + 1.369017976470121, + 1.3574326954978075, + 1.334768785513676, + 1.3012249463904073, + 1.2572595854551751, + 1.2035724920256026, + 1.1410805554694181, + 1.070888213762347, + 0.9942534491227635, + 0.9125502557097498, + 0.8272285889158075, + 0.7397728644006607, + 0.6516601062865335, + 0.5643188471434727, + 0.4790898575169154, + 0.397189730474988, + 0.3196782683535759, + 0.24743051657879747, + 0.18111416577663833, + 0.12117290149995674, + 0.06781612443177543, + 0.021015296842817284, + -0.019493002362493312, + -0.05419740707870183, + -0.08379574388434445, + -0.10917309437580955, + -0.1313745268710767, + -0.15157322429559036, + -0.17103485636372304, + -0.19107914379142013, + -0.21303963767474254, + -0.23822278641021088, + -0.2678673843391209, + -0.30310549008233817, + -0.34492586841277845, + -0.39414094831077434, + -0.4513582030662391, + -0.5169567480799574, + -0.5910698211153971, + -0.6735736614272071, + -0.7640831421509372, + -0.8619543386386339, + -0.9662940383744002, + -1.0759760201523743, + -1.1896637558266796, + -1.3058390215482092, + -1.4228357511942311, + -1.5388783265853185, + -1.6521233805872073, + -1.760704093346432, + -1.8627758911840642, + -1.9565624139238629, + -2.0404006008452034, + -2.1127837585123634, + -2.1724015152131355, + -2.218175635706698, + -2.2492907648127543, + -2.2652192868042413, + -2.2657396267364778, + -2.2509474763772808, + -2.221259597478554, + -2.1774100345884313, + -2.120438754042515, + -2.051672910657263, + -1.9727011244228456, + -1.885341321693163, + -1.791602854736383, + -1.6936437560882867, + -1.5937241063959617, + -1.4941565933010186, + -1.3972554119073173, + -1.3052847026603127, + -1.2204077388636156, + -1.1446380631116628, + -1.0797937298842504, + -1.0274557414018664, + -0.988931667245793, + -0.9652253175178472, + -0.9570131973613665, + -0.9646283109196266, + -0.9880517091411694, + -1.0269119924679542, + -1.0804927908164321, + -1.147748053968723, + -1.2273248001338546, + -1.317592793524823, + -1.4166804576278054, + -1.5225161834033598, + -1.632874064535626, + -1.7454229881148307, + -1.8577779313078668, + -1.967552264513104, + -2.072409840399426, + -2.1701156565771575, + -2.258583917197727, + -2.3359223845749724, + -2.4004720043159513, + -2.450840904145731, + -2.4859320047186486, + -2.5049636368160377, + -2.5074827295893876, + -2.49337031472721, + -2.4628392771766072, + -2.416424469779206, + -2.3549654923135748, + -2.279582610496568, + -2.1916464532157596, + -2.0927422726877785, + -1.9846296788165487, + -1.8691988627109384, + -1.7484244026344942, + -1.6243177967545637, + -1.4988798897631392, + -1.3740543542930412, + -1.2516833532986293, + -1.133466447169143, + -1.0209237209341804, + -0.9153639947868395, + -0.81785884815647, + -0.7292230370857359, + -0.6500017205106493, + -0.5804647373425075, + -0.5206079973710793, + -0.4701618694331178, + -0.428606274509812, + -0.395192023818479, + -0.36896778672124186, + -0.3488119342431668, + -0.33346838461786804, + -0.32158548050539215, + -0.31175685572926565, + -0.30256320430118794, + -0.2926138472144498, + -0.2805870033634141, + -0.26526770965157137, + -0.24558240085144062, + -0.22062925037096795, + -0.1897034864289156, + -0.15231703134235652, + -0.10821196128218559, + -0.057367446145573375, + -5.636419149508736e-16 + ], + [ + 0, + 0.06512365681932017, + 0.13526706458703733, + 0.20947841659273841, + 0.28664798942357395, + 0.36554014604515916, + 0.4448290188061482, + 0.5231369224548683, + 0.5990744740863183, + 0.6712813499419409, + 0.7384665893806954, + 0.7994473646567064, + 0.853185171201948, + 0.8988184560490069, + 0.935690790288521, + 0.9633738028488898, + 0.981684224638154, + 0.9906945409095718, + 0.9907369118796208, + 0.9824001930751268, + 0.9665200633103752, + 0.9441624451585726, + 0.9166005758265257, + 0.8852862510983653, + 0.8518159173142937, + 0.8178924223278391, + 0.7852833525745951, + 0.7557769768091576, + 0.7311368853093954, + 0.713056454616515, + 0.7031142810526178, + 0.7027317109098176, + 0.7131335516212014, + 0.7353129773924652, + 0.7700015463623906, + 0.8176451266788133, + 0.8783863888158319, + 0.9520543644217778, + 1.0381614018086238, + 1.1359076690389902, + 1.2441931718352386, + 1.3616370697475575, + 1.4866038947066087, + 1.6172361056826199, + 1.7514922558961776, + 1.8871899087817907, + 2.022052319184427, + 2.1537578000648936, + 2.279990624720305, + 2.3984922719752557, + 2.507111808073282, + 2.6038542144942367, + 2.6869255153230887, + 2.7547736300685637, + 2.806123976261879, + 2.8400089683966927, + 2.8557907028565754, + 2.8531762789561337, + 2.832225380208043, + 2.7933499231981784, + 2.7373057695526803, + 2.6651766848412364, + 2.578350912299391, + 2.4784909044930257, + 2.367496918228899, + 2.2474653231943535, + 2.120642599461568, + 1.9893761000949663, + 1.856062730209293, + 1.7230967411337241, + 1.5928178567172615, + 1.4674609378467804, + 1.3491083512427495, + 1.2396461405624957, + 1.1407250034756733, + 1.0537269600238002, + 0.9797384581630496, + 0.9195305053571319, + 0.873546244303495, + 0.8418962105402494, + 0.8243613242218208, + 0.8204034823139704, + 0.8291834353968922, + 0.8495854596250653, + 0.8802481734059479, + 0.9196007039379694, + 0.9659032843874693, + 1.0172912611780949, + 1.071821415034104, + 1.1275194508457616, + 1.1824274912186936, + 1.2346504171337327, + 1.2823999361710843, + 1.3240353232303077, + 1.3580998689154375, + 1.383352184428064, + 1.3987916460189282, + 1.4036774133868921, + 1.3975406210604053, + 1.380189515606831, + 1.3517074901257085, + 1.3124441464201972, + 1.2629996900351887, + 1.204203129641942, + 1.1370849059006387, + 1.062844712130566, + 0.9828153864686436, + 0.8984238498090992, + 0.8111501333737136, + 0.722485582577697, + 0.6338913389190981, + 0.5467581886149384, + 0.462368826025379, + 0.38186351263272994, + 0.3062100202262376, + 0.23617863235953532, + 0.17232284403143688, + 0.11496624931620601, + 0.06419594416334545, + 0.019862600931991672, + -0.018412803243402505, + -0.05122579601183048, + -0.07936911786919743, + -0.103807848818846, + -0.12564961987216516, + -0.14611070470905752, + -0.16647889553820452, + -0.18807415279022507, + -0.21220807855422677, + -0.2401432970779206, + -0.2730538313174656, + -0.3119875422676575, + -0.35783164815120416, + -0.4112822647131656, + -0.47281880772888024, + -0.542683976880553, + -0.620869899430577, + -0.7071108561364454, + -0.8008828445193505, + -0.9014100601139262, + -1.007678199074495, + -1.1184543099554052, + -1.2323127530464684, + -1.3476666666118884, + -1.462804194782323, + -1.5759286053620052, + -1.6852013206682137, + -1.7887868034233319, + -1.8848981847816277, + -1.9718424942547108, + -2.0480643523786397, + -2.1121870165118843, + -2.1630497275283487, + -2.199740389040986, + -2.221622719164814, + -2.228357145095219, + -2.219914859781107, + -2.196584624082898, + -2.158972073010693, + -2.107991466641639, + -2.044850010644503, + -1.971025053452383, + -1.8882346425260133, + -1.7984020865011356, + -1.7036153192389742, + -1.6060819921895872, + -1.508081329780574, + -1.4119138660457156, + -1.3198502373003227, + -1.2340802339036652, + -1.156663313269593, + -1.089481746254694, + -1.0341975105455417, + -0.992213959058939, + -0.9646431807058503, + -0.9522798378102184, + -0.9555821122308702, + -0.9746602244933378, + -1.0092728110666076, + -1.0588312586681734, + -1.1224119056758453, + -1.198775833957487, + -1.2863957942426736, + -1.3834896389353686, + -1.4880594821190074, + -1.5979356711791255, + -1.710824541248629, + -1.8243588353085762, + -1.9361496113857, + -2.043838425348024, + -2.145148574085368, + -2.2379342094305636, + -2.3202261873686676, + -2.390273598536439, + -2.4465800327051213, + -2.487933759222987, + -2.5134311540763195, + -2.5224928686428134, + -2.5148724113138714, + -2.490656996623885, + -2.4502607028453194, + -2.394410163623843, + -2.324123197624432, + -2.2406809479847127, + -2.145594256541832, + -2.04056513259848, + -1.9274442891678691, + -1.8081858084712088, + -1.6848000608461193, + -1.5593060357100315, + -1.4336842490497788, + -1.3098313690307224, + -1.1895176503967204, + -1.0743481907233885, + -0.9657289193037228, + -0.8648381051090865, + -0.7726040270425925, + -0.689689291209663, + -0.6164821101687386, + -0.5530946823603513, + -0.4993686305769472, + -0.4548872809158417, + -0.41899439258179644, + -0.39081878843542905, + -0.36930419030660794, + -0.3532434354230712, + -0.34131614399624804, + -0.33212882567102453, + -0.3242563561910139, + -0.31628372660868936, + -0.30684696634574116, + -0.29467216834520354, + -0.2786115987134397, + -0.25767595320446385, + -0.23106192658269353, + -0.1981743856498715, + -0.15864257934775555, + -0.11232997621343745, + -0.05933748657658161, + -5.808141763773378e-16 + ], + [ + 0, + 0.06665267941550264, + 0.13789425414683942, + 0.21269401047665407, + 0.28988078341102036, + 0.3681769513827273, + 0.4462355696068245, + 0.5226796516944163, + 0.5961425510971003, + 0.6653083627660897, + 0.7289512618841715, + 0.7859727207861741, + 0.8354355966457749, + 0.8765941599089958, + 0.9089192348789352, + 0.9321177467768157, + 0.9461461109520095, + 0.9512170561514757, + 0.9477996409707246, + 0.936612396596028, + 0.9186097053360135, + 0.8949616987871454, + 0.8670281273823521, + 0.8363268102886788, + 0.8044974171616446, + 0.773261457503368, + 0.7443794561317303, + 0.7196063719022233, + 0.7006463692833321, + 0.6891080772700315, + 0.6864614667129061, + 0.6939974454309579, + 0.7127912111579733, + 0.7436703168279132, + 0.7871882929723181, + 0.8436045407263644, + 0.9128710593052662, + 0.9946264074674699, + 1.0881971234469165, + 1.192606646408768, + 1.3065915991244919, + 1.4286251107936143, + 1.5569466852267178, + 1.6895979572487665, + 1.8244635332121526, + 1.9593159835834428, + 2.0918639498805485, + 2.2198022474413306, + 2.3408627916443963, + 2.452865149662799, + 2.553765523302137, + 2.6417030009334956, + 2.7150419772455026, + 2.7724097270780304, + 2.8127282318743196, + 2.835239491598667, + 2.839523708071668, + 2.825509893867858, + 2.7934786401226464, + 2.7440569624548936, + 2.6782053322110664, + 2.597197185804534, + 2.5025913835451457, + 2.3961982566844777, + 2.2800400333715967, + 2.1563065671292345, + 2.0273074020941517, + 1.8954212949373104, + 1.7630443720201554, + 1.6325381305469802, + 1.5061784935297982, + 1.386107100296966, + 1.2742859577677268, + 1.172456494196244, + 1.0821039486347885, + 1.004427898659775, + 0.9403195791719804, + 0.8903464800112822, + 0.8547445337764128, + 0.8334180219409585, + 0.8259471416029615, + 0.8316029915432973, + 0.8493695591857587, + 0.8779721238670298, + 0.9159113405793602, + 0.9615021357086693, + 1.0129164354566156, + 1.0682286612628538, + 1.1254628666810191, + 1.1826403581970515, + 1.2378266391080386, + 1.2891765407916953, + 1.3349764587720048, + 1.3736826905183552, + 1.4039549758442613, + 1.42468446643832, + 1.4350154952712635, + 1.4343606757335325, + 1.4224090303593464, + 1.3991270256167787, + 1.3647525680636565, + 1.3197821937166216, + 1.2649518523521979, + 1.2012118474264983, + 1.1296966364181162, + 1.0516903220991691, + 0.9685887694225017, + 0.8818593628226987, + 0.7929994728165299, + 0.703494727561084, + 0.6147781838789478, + 0.5281914632837763, + 0.44494886252937554, + 0.3661053666313953, + 0.2925293872836242, + 0.2248809238080392, + 0.16359570045599642, + 0.10887567667140455, + 0.060686159836393846, + 0.018759577292288304, + -0.017394209550565833, + -0.04847133701606438, + -0.07535156819879622, + -0.09907072223053448, + -0.12078864295914915, + -0.14175356345697376, + -0.16326381807692994, + -0.18662792471215983, + -0.2131241046710688, + -0.2439603249958264, + -0.28023593765798754, + -0.3229059520894856, + -0.37274891287523865, + -0.43033926474143763, + -0.49602497445011984, + -0.5699110466620333, + -0.6518494215693955, + -0.7414355798661668, + -0.8380120094858384, + -0.9406785127953541, + -1.048309157011425, + -1.1595754989375222, + -1.2729755520424264, + -1.3868678135443555, + -1.49950953534726, + -1.609098308810761, + -1.7138159423437245, + -1.811873545048187, + -1.9015566908369406, + -1.9812695266643001, + -2.049576706111347, + -2.1052420752116667, + -2.147263110050246, + -2.1749002036012097, + -2.1877000201412047, + -2.1855122764605412, + -2.1684994665666046, + -2.1371392167865104, + -2.092219136957856, + -2.0348242163541035, + -1.9663169956199278, + -1.8883109237836093, + -1.802637477971542, + -1.7113077785958821, + -1.6164695706649441, + -1.5203605590404738, + -1.4252591790026976, + -1.3334339510285598, + -1.247092608519624, + -1.1683321982935768, + -1.0990913356417054, + -1.041105749033375, + -0.9958681752024658, + -0.964593565144386, + -0.9481904378880854, + -0.9472390747642745, + -0.9619770857542638, + -0.9922927052779141, + -1.037725991692403, + -1.0974779172741251, + -1.1704271481027841, + -1.255154130616748, + -1.3499719281053442, + -1.4529630902671982, + -1.5620216960880984, + -1.674899588147053, + -1.7892557180091027, + -1.9027074499898196, + -2.012882626022317, + -2.1174711786841276, + -2.2142750930017576, + -2.3012555600830225, + -2.376576235860582, + -2.43864161451613, + -2.4861296461064506, + -2.518017868566706, + -2.533602482155214, + -2.5325099656419594, + -2.5147010139226995, + -2.4804667618353453, + -2.43041744423158, + -2.3654638232825, + -2.2867918861562404, + -2.195831475405299, + -2.094219656775968, + -1.9837597512577396, + -1.8663770570899847, + -1.7440723607771, + -1.6188743822085905, + -1.4927923166921127, + -1.3677696257411622, + -1.2456401891829447, + -1.1280878646308625, + -1.0166104083404224, + -0.9124885963026785, + -0.816761249061504, + -0.7302067116002793, + -0.6533311745680858, + -0.5863640492576361, + -0.5292604304673296, + -0.4817105031390132, + -0.4431555749122367, + -0.41281025180327885, + -0.38969012220295646, + -0.3726441790598454, + -0.36039109481909903, + -0.3515583712581882, + -0.34472331905893905, + -0.33845478140595686, + -0.3313545030578528, + -0.3220970614561964, + -0.3094673190726172, + -0.2923944252117583, + -0.26998148909047737, + -0.24153016179030995, + -0.20655949966411286, + -0.1648186325228532, + -0.11629292259496855, + -0.061203470701949376, + -5.967853287909961e-16 + ], + [ + 0, + 0.06801554918177107, + 0.1401528378790461, + 0.21531150967353604, + 0.2922692890607604, + 0.3697176579173304, + 0.44630010678013204, + 0.5206519389475066, + 0.5914405628898729, + 0.6574051932135483, + 0.7173948928697318, + 0.7704039291563516, + 0.8156034823487758, + 0.8523688368748712, + 0.8803012985533477, + 0.8992442147050951, + 0.9092926235899098, + 0.9107962218644096, + 0.9043555095277016, + 0.8908111468256426, + 0.8712267324150228, + 0.8468653823352907, + 0.8191606506941026, + 0.7896824813553008, + 0.7600990115525706, + 0.7321351598790132, + 0.7075290196590139, + 0.6879871419986843, + 0.6751398291661714, + 0.6704975673734366, + 0.6754097082116024, + 0.6910264603311637, + 0.7182651785491685, + 0.7577818381694301, + 0.8099484603059762, + 0.874837112358728, + 0.9522109499529464, + 1.0415225964793164, + 1.1419199780333815, + 1.2522595494367628, + 1.37112666561678, + 1.496862676406563, + 1.6275981561662005, + 1.7612915266523061, + 1.8957721960830252, + 2.028787222740151, + 2.158050420591331, + 2.2812927595968984, + 2.396312876242774, + 2.501026501389747, + 2.5935136330234125, + 2.6720623304890214, + 2.735208083162912, + 2.7817678084327393, + 2.8108676588905754, + 2.8219639637727068, + 2.814856791399189, + 2.789695793755964, + 2.7469781771899955, + 2.687538830010987, + 2.6125328240689787, + 2.523410688573507, + 2.42188702612823, + 2.3099031989968317, + 2.1895849541478216, + 2.0631959752320053, + 1.9330884454240072, + 1.8016517746892617, + 1.671260686841679, + 1.5442238747390018, + 1.4227344158314104, + 1.308823095457983, + 1.2043157128994146, + 1.1107953470436083, + 1.029570437031937, + 0.9616493914262633, + 0.9077222807633128, + 0.8681499967453564, + 0.8429610809686857, + 0.8318562414355619, + 0.8342203906527323, + 0.8491418593980171, + 0.8754382696207604, + 0.9116883925846162, + 0.9562691780810106, + 1.0073970207295662, + 1.0631722329177882, + 1.121625623114603, + 1.1807660347822913, + 1.2386276858919159, + 1.2933161624012255, + 1.3430519605565434, + 1.386210541411462, + 1.4213579547288944, + 1.4472812060412765, + 1.463012677118473, + 1.4678480629793358, + 1.461357454027365, + 1.443389365735755, + 1.4140676961958614, + 1.3737817693278664, + 1.3231697942054133, + 1.263096234469663, + 1.1946237321415103, + 1.1189803635607312, + 1.0375231183944302, + 0.9516985828830368, + 0.8630018735289976, + 0.7729349057150303, + 0.6829650923713837, + 0.5944855505962813, + 0.5087778495699423, + 0.4269782623755309, + 0.3500483892903944, + 0.2787509031870067, + 0.21363103188065294, + 0.15500424104752983, + 0.10295041856362697, + 0.057314690920708, + 0.017714829083441578, + -0.016444970840783692, + -0.04595431307742246, + -0.07177137121189076, + -0.09499288077212571, + -0.11682016049865693, + -0.13852207191385665, + -0.1613959079739507, + -0.18672725737926824, + -0.21574992009648336, + -0.24960695105252065, + -0.2893138827289266, + -0.3357251241493608, + -0.3895044548237255, + -0.45110042955073626, + -0.5207273861462614, + -0.5983526062533188, + -0.6836900229555192, + -0.776200701883516, + -0.8751001490704906, + -0.9793723233419506, + -1.0877900579398347, + -1.1989414297519858, + -1.311261459154237, + -1.4230683830165969, + -1.5326036214538008, + -1.6380744585354223, + -1.7376983809993887, + -1.8297479690229776, + -1.9125952106365496, + -1.9847541170710066, + -2.044920550164407, + -2.0920082341679698, + -2.125180011455331, + -2.1438735126708766, + -2.1478205440742326, + -2.1370596450368065, + -2.111941433157411, + -2.073126529258437, + -2.021576035309321, + -1.9585347206487431, + -1.88550725124336, + -1.804227968693027, + -1.716624886009205, + -1.6247787118719599, + -1.5308778405072307, + -1.4371703473834714, + -1.3459141090135724, + -1.2593262162852543, + -1.1795328736092863, + -1.1085209701439396, + -1.0480924745088258, + -0.9998227415330405, + -0.9650237301722424, + -0.9447130179111394, + -0.9395893614786959, + -0.9500153998131853, + -0.976007926648775, + -1.0172359809428122, + -1.0730268179742577, + -1.1423796368253443, + -1.2239867556619435, + -1.3162617492375408, + -1.417373897667836, + -1.5252881457810181, + -1.6378096418842316, + -1.7526318167675528, + -1.8673868808129692, + -1.97969756119184, + -2.087228873661624, + -2.1877387250566733, + -2.2791261731419055, + -2.3594762292866798, + -2.427100174951084, + -2.480570473138937, + -2.5187494880384906, + -2.54081137678757, + -2.5462566829558444, + -2.5349193378625, + -2.5069659589117435, + -2.4628875192452644, + -2.40348364565223, + -2.3298399773827625, + -2.2432991829986784, + -2.1454263816674177, + -2.0379698457457414, + -1.9228179699634982, + -1.8019535764080814, + -1.6774066818407536, + -1.5512068833207957, + -1.4253365190381795, + -1.3016857337305914, + -1.1820105228622513, + -1.067894748326245, + -0.9607170129044805, + -0.8616231537750281, + -0.7715049702175677, + -0.6909856409999487, + -0.6204121167498873, + -0.5598545961968096, + -0.5091130169253554, + -0.4677303156655949, + -0.4350120445324614, + -0.4100517722100472, + -0.39176155675960317, + -0.37890665303227283, + -0.37014351563543657, + -0.364060080533885, + -0.35921725655370484, + -0.35419053353129026, + -0.347610617160457, + -0.33820203158627726, + -0.3248186886299045, + -0.30647550568680576, + -0.2823752606698743, + -0.2519299991381641, + -0.21477645271956616, + -0.17078508543100998, + -0.12006255151493185, + -0.0629475207016644, + -6.114033491548998e-16 + ], + [ + 0, + 0.06919937777099866, + 0.14202154634060588, + 0.21730632408293987, + 0.29379103353861086, + 0.37014753716459126, + 0.4450212667515648, + 0.5170712020215738, + 0.5850097271386828, + 0.6476412945587012, + 0.7038988538193294, + 0.7528770578457364, + 0.7938613397592584, + 0.8263520570276394, + 0.8500830244908044, + 0.8650339002159362, + 0.8714360447090848, + 0.8697716408064975, + 0.8607660343933774, + 0.8453734305990067, + 0.8247562518940907, + 0.8002586292284273, + 0.7733746508237777, + 0.7457121315810435, + 0.7189527857471247, + 0.6948097834497857, + 0.6749837454203756, + 0.6611182777573689, + 0.6547561686613191, + 0.6572973610997944, + 0.6699597794433888, + 0.6937440250525061, + 0.729402867068615, + 0.7774163423950472, + 0.8379731457534707, + 0.9109588400094132, + 0.9959512523544627, + 1.092223247448781, + 1.1987528885537506, + 1.3142408164582413, + 1.4371344980977756, + 1.5656588265868892, + 1.6978523961519323, + 1.8316086330991537, + 1.9647208410314714, + 2.094930118114715, + 2.2199750288192246, + 2.337641864141236, + 2.4458143040970977, + 2.54252130484473, + 2.625982069978252, + 2.6946470305153847, + 2.7472338493220434, + 2.7827575810160865, + 2.800554254990659, + 2.800297303799453, + 2.782006428008415, + 2.7460486676454425, + 2.6931316352229078, + 2.6242890514733173, + 2.5408589078972397, + 2.4444547555217704, + 2.3369307826405907, + 2.2203414917771607, + 2.096896914093225, + 1.9689144048460077, + 1.838768143721532, + 1.708837516998754, + 1.5814555832524477, + 1.458858820100724, + 1.3431393164735157, + 1.236200513854301, + 1.1397175124480203, + 1.0551028464178986, + 0.9834784989732, + 0.9256547764617074, + 0.8821164944541917, + 0.8530167521825788, + 0.8381783889401846, + 0.8371030316461323, + 0.8489874612255193, + 0.8727468511930477, + 0.9070442690951193, + 0.9503256842167918, + 1.000859596760468, + 1.0567802976413587, + 1.1161336866582876, + 1.1769245220108728, + 1.2371639472093439, + 1.2949161429346574, + 1.348342981223175, + 1.3957456166429616, + 1.4356020323891239, + 1.4665996663075276, + 1.4876623700264544, + 1.4979711003860956, + 1.4969779025218914, + 1.4844129142523708, + 1.4602842975760866, + 1.4248711806893204, + 1.378709868564949, + 1.3225737474347963, + 1.257447464337415, + 1.1844961033696269, + 1.1050302019439253, + 1.0204675502123173, + 0.9322927924288869, + 0.8420158985577014, + 0.7511305967157184, + 0.6610738515820468, + 0.5731874409122419, + 0.48868262266559404, + 0.4086088005486386, + 0.33382698819044876, + 0.26498874445773385, + 0.20252110785580457, + 0.1466179002307821, + 0.09723760310225246, + 0.05410783815413343, + 0.016736311055683933, + -0.015572090753762487, + -0.0436925161297088, + -0.0686523022378937, + -0.09159881098794376, + -0.11376381344023266, + -0.13642537667487595, + -0.16086827407700754, + -0.1883439802894551, + -0.22003132517197374, + -0.25699886662957827, + -0.30017000046993647, + -0.3502917575457538, + -0.4079081460181173, + -0.4733387819450023, + -0.5466634174215856, + -0.6277128255315231, + -0.7160663391737968, + -0.8110561704830744, + -0.9117784633494064, + -1.0171108578554489, + -1.1257361766706155, + -1.2361716838410026, + -1.3468032200374918, + -1.4559233888959837, + -1.5617728599080838, + -1.6625837672041341, + -1.756624122747442, + -1.8422421285360282, + -1.9179092663253245, + -1.9822610653872201, + -2.034134498454148, + -2.0726010321172397, + -2.096994458749009, + -2.106932760078966, + -2.102333394881326, + -2.083421561368368, + -2.0507311549511082, + -2.005098319856454, + -1.9476476743003046, + -1.8797714690395464, + -1.803102113709627, + -1.7194786700732443, + -1.6309080620692555, + -1.5395218856045618, + -1.4475298130518064, + -1.3571706755892265, + -1.2706623686171128, + -1.1901517599169837, + -1.1176657860715138, + -1.0550648997257235, + -1.0039999790384913, + -0.9658737323423795, + -0.9418075274584414, + -0.9326144487844283, + -0.9387792392334756, + -0.9604456218768925, + -0.9974113216707313, + -1.0491309251563197, + -1.1147265299547953, + -1.1930059507505135, + -1.2824880687824742, + -1.381434742010284, + -1.4878885372256119, + -1.5997154072345998, + -1.7146513192011474, + -1.8303517471564914, + -1.9444428748040212, + -2.054573315691935, + -2.158465147523272, + -2.2539630760499216, + -2.339080591172274, + -2.4120420523603743, + -2.471319740477052, + -2.5156650360493154, + -2.5441330269699765, + -2.5561000079998997, + -2.551273506366222, + -2.529694647995141, + -2.4917328630625173, + -2.4380731130860105, + -2.369696000235249, + -2.287851288550254, + -2.1940255222217857, + -2.089904564229936, + -1.9773319961219062, + -1.8582644137148805, + -1.7347247217978023, + -1.6087545718780512, + -1.4823670997540168, + -1.3575011039711602, + -1.2359777625180728, + -1.1194609146137915, + -1.0094218389605292, + -0.9071093418351066, + -0.8135258308672425, + -0.729409896780933, + -0.6552257596245205, + -0.5911597622463928, + -0.5371239163383678, + -0.4927663297001863, + -0.4574881718795955, + -0.4304666732789164, + -0.41068350421111616, + -0.3969577489130092, + -0.38798257842126227, + -0.38236463821398026, + -0.37866510375930146, + -0.37544132109968137, + -0.3712879411706793, + -0.36487647584824573, + -0.35499225018493086, + -0.3405677976992947, + -0.3207118420403112, + -0.29473312637499444, + -0.2621584884188987, + -0.22274473065911637, + -0.17648399814629426, + -0.12360254611616973, + -0.06455295232833955, + -6.245292612340693e-16 + ], + [ + 0, + 0.07019297437767578, + 0.1434827687074579, + 0.21865965065206952, + 0.2944315236465136, + 0.36946198994484125, + 0.44240981427271314, + 0.5119687303250994, + 0.5769065213986477, + 0.6361023229273036, + 0.6885811382055524, + 0.7335446280626918, + 0.7703973289655215, + 0.7987675696356372, + 0.8185224908774204, + 0.8297767235485694, + 0.8328944416941494, + 0.8284846777318926, + 0.8173899599437139, + 0.800668505024478, + 0.7795703657069227, + 0.7555080912881044, + 0.7300226032242221, + 0.7047451151637432, + 0.6813560336021959, + 0.6615418590185504, + 0.6469511657189876, + 0.6391507701233347, + 0.6395832010047434, + 0.6495265610470683, + 0.6700578175259125, + 0.7020204821421693, + 0.7459975378907692, + 0.8022903467928691, + 0.8709041293682073, + 0.9515404483637286, + 1.0435969593636505, + 1.146174513658558, + 1.258091518512628, + 1.3779052811881243, + 1.50393989018816, + 1.634320024449654, + 1.7670099327031663, + 1.89985669461739, + 2.0306367659298856, + 2.1571047242840877, + 2.277043073110505, + 2.3883119291348467, + 2.4888974158159405, + 2.5769576103614678, + 2.6508649453852464, + 2.709244046510294, + 2.751004092381303, + 2.7753649111068315, + 2.7818761740320657, + 2.7704292103953723, + 2.7412611409040855, + 2.6949512103410616, + 2.6324093845579957, + 2.5548574611178805, + 2.463803120941377, + 2.3610075162537623, + 2.248447143831922, + 2.1282708882727217, + 2.002753234443249, + 1.8742447386489556, + 1.7451209121757012, + 1.6177307071777949, + 1.4943458025282326, + 1.3771118660549846, + 1.2680029200979952, + 1.1687798607698783, + 1.080954079583338, + 1.0057570117304084, + 0.9441162913251059, + 0.8966390338914852, + 0.8636025942223722, + 0.8449529676713133, + 0.8403108193812617, + 0.8489849433865729, + 0.8699927764078428, + 0.9020874238078906, + 0.9437905016607514, + 0.9934299629250325, + 1.049181960590791, + 1.1091157091480586, + 1.1712402399814703, + 1.2335519078648658, + 1.2940814954718747, + 1.3509397808947143, + 1.4023604790357225, + 1.4467395401800263, + 1.4826698861944785, + 1.508970784141729, + 1.5247111956185928, + 1.5292265943262013, + 1.5221289103755555, + 1.5033094334626822, + 1.4729346839681168, + 1.431435436830179, + 1.3794892533321348, + 1.3179970364984965, + 1.2480542726360278, + 1.170917751051387, + 1.087968662941487, + 1.0006730662155343, + 0.9105407634855444, + 0.8190836742075646, + 0.7277747881935899, + 0.6380087663588384, + 0.5510652062276324, + 0.46807551567578265, + 0.38999424056376075, + 0.3175755728328343, + 0.25135562834635744, + 0.19164093176482255, + 0.1385033829167911, + 0.09178180960716535, + 0.051090039893654786, + 0.015831256922516426, + -0.014781764245697937, + -0.041701091622181774, + -0.06601343581031317, + -0.08890612786954656, + -0.11163018951129669, + -0.1354614863420149, + -0.16166100618732462, + -0.19143532912645086, + -0.22589835309582235, + -0.26603530883137283, + -0.31267004124589903, + -0.36643645248600876, + -0.4277548969233345, + -0.49681419283192574, + -0.5735597726322667, + -0.657688336927384, + -0.7486492110543304, + -0.8456524307144992, + -0.9476834097668372, + -1.0535238728469456, + -1.1617785724209713, + -1.2709071583276328, + -1.3792604316548758, + -1.4851200974132501, + -1.5867410349144184, + -1.68239503350893, + -1.770414896247986, + -1.8492377963250402, + -1.917446781359361, + -1.9738093585432497, + -2.01731215853412, + -2.0471907662055173, + -2.0629539198155333, + -2.0644014140627975, + -2.051635193619479, + -2.0250632883627278, + -1.9853964156321207, + -1.9336372541378215, + -1.8710625742113984, + -1.799198585477606, + -1.7197900313632626, + -1.6347637159684993, + -1.546187288821155, + -1.456224233421218, + -1.367086103240574, + -1.2809831215079999, + -1.2000743068275515, + -1.1264183042598621, + -1.06192609043845, + -1.0083166818005072, + -0.9670769079864242, + -0.9394262194852351, + -0.9262873818946871, + -0.928263771530677, + -0.9456238318848418, + -0.978293081349008, + -1.0258538838030677, + -1.0875530094426218, + -1.1623168280841167, + -1.2487737956333378, + -1.3452837208578428, + -1.4499731382907426, + -1.5607759679395483, + -1.6754785170119897, + -1.791767776152386, + -1.9072818852000133, + -2.019661593112206, + -2.126601514650803, + -2.225899993229129, + -2.3155064147697204, + -2.3935648806404886, + -2.4584532371507306, + -2.508816572487599, + -2.5435944265650017, + -2.562041111728169, + -2.563738708862866, + -2.5486024801106617, + -2.516878621762066, + -2.469134464524949, + -2.406241408759174, + -2.3293510550299437, + -2.239865151255983, + -2.139400122907696, + -2.0297470786320826, + -1.912828287313749, + -1.7906512014472928, + -1.6652611539347384, + -1.5386938798306693, + -1.4129290106253816, + -1.2898456565723924, + -1.171181133213948, + -1.0584938031948705, + -0.9531308958686068, + -0.8562020378583102, + -0.7685590809136001, + -0.6907826528017953, + -0.6231756866255962, + -0.5657640081338976, + -0.5183038836831879, + -0.48029625792424646, + -0.451007244350717, + -0.42949427767125187, + -0.41463719837091517, + -0.40517342022989494, + -0.399736233906052, + -0.396895226346196, + -0.395197748540067, + -0.3932103440858488, + -0.3895590586278248, + -0.3829675851941519, + -0.3722922618578633, + -0.3565530243580916, + -0.3349595251214336, + -0.30693175872123873, + -0.2721146789177582, + -0.23038645033522215, + -0.18186014453583366, + -0.12687886151054803, + -0.06600442907623655, + -6.360383996543952e-16 + ], + [ + 0, + 0.07098694297531295, + 0.14452269916233726, + 0.21935861705607534, + 0.2941843329868723, + 0.3676665231635891, + 0.4384884567992209, + 0.5053892885463334, + 0.567202033294308, + 0.6228891983528553, + 0.6715751063809048, + 0.7125740256665213, + 0.7454133304430013, + 0.7698510401829908, + 0.785887230079892, + 0.7937689616057889, + 0.7939885481875781, + 0.7872751424842971, + 0.7745798041561357, + 0.7570543760357565, + 0.7360246579696215, + 0.7129585172003674, + 0.6894297082076798, + 0.6670782899942657, + 0.6475686219439346, + 0.6325459881820659, + 0.623592943030667, + 0.6221864855162087, + 0.629657158483678, + 0.6471511279123412, + 0.6755962314230683, + 0.7156728932858077, + 0.7677906886792415, + 0.8320712052977727, + 0.9083376989251241, + 0.9961118750059549, + 1.0946179545882233, + 1.2027940045550618, + 1.3193103332198242, + 1.4425945775453775, + 1.5708629418021962, + 1.7021568935353466, + 1.8343844851034241, + 1.9653653512231735, + 2.092878337859517, + 2.2147106478462932, + 2.328707345594946, + 2.432820048275027, + 2.52515364436979, + 2.604009922260518, + 2.667927060517701, + 2.7157140262464594, + 2.746479045886918, + 2.7596514514679424, + 2.7549963611089288, + 2.732621821786045, + 2.6929782209211246, + 2.63684995687511, + 2.565339542469885, + 2.479844495742771, + 2.382027543871999, + 2.273780825415628, + 2.157184918803583, + 2.0344636479352145, + 1.9079357157726986, + 1.7799642915526253, + 1.6529057248531664, + 1.529058579105216, + 1.4106141677676092, + 1.2996097385480136, + 1.1978853856865155, + 1.1070456790478722, + 1.028426883841891, + 0.9630705090390038, + 0.911703769306426, + 0.8747273783210242, + 0.8522109147120038, + 0.8438958199744507, + 0.8492059049229259, + 0.8672650620861178, + 0.8969217102474831, + 0.936779338277937, + 0.9852323723447679, + 1.0405064669755126, + 1.1007022192807083, + 1.163841229311432, + 1.2279133798458477, + 1.2909241870019035, + 1.3509410794124561, + 1.4061374980268226, + 1.4548337699817586, + 1.4955337968104627, + 1.5269567073002401, + 1.548062755768002, + 1.5580728940983344, + 1.5564816068655851, + 1.5430627691986787, + 1.5178684624824166, + 1.4812208591410077, + 1.4336974602307984, + 1.3761101340922728, + 1.30947855679719, + 1.2349987918048575, + 1.1540078637438058, + 1.0679452766792439, + 0.9783124982871896, + 0.8866314763216226, + 0.794403271576102, + 0.7030678818323832, + 0.6139662943716859, + 0.5283057414975024, + 0.4471290458352835, + 0.37128883220139985, + 0.30142725339492504, + 0.2379617316700941, + 0.18107705960547704, + 0.13072403761824786, + 0.08662465470597396, + 0.04828364846429106, + 0.0150061143499107, + -0.014079323256835618, + -0.03999241039894114, + -0.06386899395153388, + -0.08692545261229753, + -0.11042078452246863, + -0.13561736955905254, + -0.16374146021172648, + -0.19594446378843172, + -0.2332660602395204, + -0.2766001545964597, + -0.32666459200906217, + -0.38397546840503244, + -0.44882675326210747, + -0.5212758057964737, + -0.6011352154242852, + -0.6879712354270612, + -0.781108909420987, + -0.8796438177611839, + -0.9824601997566941, + -1.0882550418582786, + -1.1955675660055154, + -1.302813410041702, + -1.4083226671474316, + -1.5103808468028765, + -1.607271738552775, + -1.6973211039302238, + -1.7789400927795647, + -1.8506672787222553, + -1.9112082347621422, + -1.9594716234642575, + -1.9946008555222132, + -2.0160004739611317, + -2.0233565462105756, + -2.0166504897877573, + -1.9961659158502987, + -1.9624882445239225, + -1.9164970225124403, + -1.8593510527018464, + -1.792466622849936, + -1.7174892916145883, + -1.6362598508709068, + -1.550775229500552, + -1.4631452319573324, + -1.3755461117121521, + -1.2901720624685398, + -1.2091857667152772, + -1.13466917028208, + -1.0685756523035235, + -1.01268473228561, + -0.9685604004204228, + -0.9375140752039414, + -0.920573085731446, + -0.9184554473318647, + -0.9315515515591286, + -0.959913228555937, + -1.0032504653941128, + -1.0609358824111876, + -1.132016885219359, + -1.215235227445966, + -1.3090535428202377, + -1.4116882392467216, + -1.521147996044164, + -1.6352769722684384, + -1.7518017222230156, + -1.868380726610394, + -1.9826553864190903, + -2.092301293058215, + -2.1950785832481463, + -2.2888802108550603, + -2.3717770196204118, + -2.442058579297964, + -2.4982688511300353, + -2.5392358743216437, + -2.564094810115051, + -2.5723038406666965, + -2.5636525922440776, + -2.5382629320693875, + -2.4965821710390985, + -2.4393688860741154, + -2.3676717515737415, + -2.2828019350789326, + -2.1862997637709696, + -2.0798965021700395, + -1.9654721941275568, + -1.845010611222968, + -1.7205524128655845, + -1.5941476592921073, + -1.4678088264428852, + -1.3434654512926425, + -1.222921488199344, + -1.1078163824920517, + -0.9995907687699891, + -0.8994575807518975, + -0.8083792200581604, + -0.7270512765454266, + -0.655893126635557, + -0.5950455626525679, + -0.5443754298374648, + -0.5034870728501378, + -0.47174022454052367, + -0.4482738107742459, + -0.43203500006832546, + -0.4218126993102961, + -0.4162745900342665, + -0.41400671622211555, + -0.41355457641173127, + -0.41346464141448674, + -0.4123252148879398, + -0.4088055774053856, + -0.4016924048525672, + -0.38992252763350965, + -0.37261119631561085, + -0.3490751394353902, + -0.3188498371445679, + -0.28170058668063347, + -0.23762709841885235, + -0.18686153036703115, + -0.129860040107879, + -0.06728810203620057, + -6.458215240931509e-16 + ], + [ + 0, + 0.07157376106929068, + 0.14513144445016776, + 0.21939636535518456, + 0.2930511081313759, + 0.3647766259124689, + 0.4332915408394868, + 0.49739058827709476, + 0.5559811688543773, + 0.608117019195168, + 0.6530280847060459, + 0.6901457739488411, + 0.7191228915308044, + 0.739847682154154, + 0.7524515690683793, + 0.7573103318755801, + 0.7550386373793708, + 0.7464780086871156, + 0.7326784877431208, + 0.7148744105888897, + 0.694454868757342, + 0.6729295703969022, + 0.6518909374165142, + 0.6329733770038374, + 0.6178107446668943, + 0.6079930694321605, + 0.6050236385768398, + 0.6102775385225074, + 0.6249627201997151, + 0.6500846019249532, + 0.6864151419028186, + 0.734467207810378, + 0.7944749450661209, + 0.866380701394734, + 0.9498289066916, + 1.0441671378592121, + 1.1484544223987614, + 1.2614766564333408, + 1.3817688369187386, + 1.5076436384234637, + 1.6372257062388775, + 1.7684908936634143, + 1.899309545686931, + 2.027492827133066, + 2.150841013225498, + 2.267192606567445, + 2.374473118059685, + 2.470742351054161, + 2.554239058075986, + 2.6234218970792966, + 2.677005698084954, + 2.7139921591856626, + 2.73369422070382, + 2.7357535146197742, + 2.7201504496659785, + 2.6872066667468046, + 2.637579780362622, + 2.5722505050882996, + 2.4925024474177353, + 2.399895018022665, + 2.2962300834290112, + 2.1835131252915962, + 2.0639098062138523, + 1.9396989502277482, + 1.8132230309639574, + 1.6868373191400654, + 1.5628588718565817, + 1.443516548577104, + 1.330903212537501, + 1.226931222335852, + 1.133292237936602, + 1.0514222602660686, + 0.9824726965667937, + 0.9272880978366471, + 0.8863910535842229, + 0.8599745567341919, + 0.847901972036584, + 0.8497145591623362, + 0.8646463212539395, + 0.8916457754447493, + 0.9294040780057771, + 0.9763887873043071, + 1.0308824162838608, + 1.091024815870203, + 1.1548583442167548, + 1.2203747160768825, + 1.2855623932411382, + 1.3484533716395979, + 1.4071682434266293, + 1.4599584624873718, + 1.5052448180072902, + 1.5416512210611653, + 1.568033031046954, + 1.583499289126368, + 1.587428381100391, + 1.5794768184453813, + 1.5595809993993812, + 1.5279519876943226, + 1.4850635203992124, + 1.4316336240497798, + 1.3686003756314493, + 1.2970924881614672, + 1.2183955260517276, + 1.1339146600456054, + 1.0451349527553728, + 0.9535802217164885, + 0.8607715560931132, + 0.7681865650576325, + 0.6772204104529966, + 0.589149624341105, + 0.5050996348199098, + 0.4260168230625719, + 0.35264581347990537, + 0.2855125603324177, + 0.2249136415567473, + 0.17091200790638522, + 0.1233392668718188, + 0.08180441051965803, + 0.04570872869237718, + 0.014266488188769742, + -0.013469191326820446, + -0.03857596906556249, + -0.06222824384449309, + -0.08566036097384068, + -0.11012805473546333, + -0.1368691627534564, + -0.16706466882785412, + -0.20180112394769653, + -0.24203546137637472, + -0.2885631617454652, + -0.34199063949765557, + -0.4027126149008241, + -0.47089510889906194, + -0.5464645544596234, + -0.6291033614271506, + -0.718252106150388, + -0.8131183464780534, + -0.9126918914354273, + -1.0157661873194133, + -1.1209653223285871, + -1.2267760042250548, + -1.3315837336618601, + -1.433712283069497, + -1.5314655002719744, + -1.6231703896447145, + -1.7072203833763744, + -1.7821177023479957, + -1.8465137207115576, + -1.8992462901632472, + -1.9393730482079126, + -1.9661998277840989, + -1.979303401225937, + -1.9785479268748491, + -1.9640946184193464, + -1.9364043215173647, + -1.896232855400624, + -1.8446191547080744, + -1.782866424360025, + -1.7125166934707847, + -1.6353193188077841, + -1.553194140048792, + -1.4681901242803868, + -1.3824404524374574, + -1.298115092807255, + -1.2173719739722786, + -1.142307909920743, + -1.0749104424470606, + -1.0170117500220608, + -0.9702457283526209, + -0.9360092768838096, + -0.915428729199288, + -0.9093322459486156, + -0.9182288494431441, + -0.9422946227839861, + -0.9813664271011706, + -1.0349433123001595, + -1.1021956139609437, + -1.1819815461619025, + -1.2728709214578597, + -1.3731754593786258, + -1.480984987769785, + -1.5942087008984396, + -1.7106205179134897, + -1.82790748791261, + -1.9437201158944226, + -2.055723439009412, + -2.1616476658508077, + -2.2593372034384154, + -2.346796936736751, + -2.4222346930140066, + -2.4840989164234553, + -2.5311106945813733, + -2.562289415762332, + -2.576971489274457, + -2.5748217288371937, + -2.5558371752644495, + -2.5203433161374753, + -2.468982842000941, + -2.4026972564935254, + -2.322701827396289, + -2.230454522724741, + -2.1276197168921467, + -2.0160275732272623, + -1.897630107823301, + -1.7744550134718124, + -1.6485583695579946, + -1.5219773831874523, + -1.3966842980872485, + -1.2745425712810663, + -1.1572663541704813, + -1.0463842261118743, + -0.9432080171330189, + -0.8488074249148535, + -0.7639909828965414, + -0.6892937750741485, + -0.6249721228000076, + -0.5710052939090566, + -0.52710410916469, + -0.4927261496947591, + -0.4670971060323003, + -0.44923765862458986, + -0.4379951449521956, + -0.4320791530225418, + -0.4301000877965944, + -0.43060968833944024, + -0.43214243080737985, + -0.43325673679157156, + -0.4325749183479049, + -0.42882082988384035, + -0.4208542618988291, + -0.40770120068854465, + -0.38857918922117646, + -0.36291715462453317, + -0.3303692137570198, + -0.29082212645243427, + -0.24439623220675916, + -0.19143987609534713, + -0.13251749925874198, + -0.06839173407783752, + -6.53785772950913e-16 + ], + [ + 0, + 0.0719478392534882, + 0.14530309169761446, + 0.21877207507634688, + 0.291041494139705, + 0.3608175466646578, + 0.42686463397269925, + 0.4880426336476988, + 0.5433417277992063, + 0.5919138417554176, + 0.6330998339691359, + 0.6664516860272679, + 0.6917490692565225, + 0.7090098083085404, + 0.718493918666798, + 0.7207010603024653, + 0.7163614195497263, + 0.7064202013853403, + 0.6920160803818429, + 0.6744541164528461, + 0.6551737871162903, + 0.6357129176615768, + 0.6176684010069541, + 0.6026546873386325, + 0.5922610875453298, + 0.5880089723195395, + 0.5913099595569924, + 0.6034261659909054, + 0.6254335551755366, + 0.6581893439901432, + 0.7023043354296, + 0.7581209288552497, + 0.8256974229306377, + 0.9047990744815625, + 0.994896212224981, + 1.0951695317477264, + 1.2045225215396262, + 1.3216007936614051, + 1.4448179211219558, + 1.572387221511185, + 1.7023587769297281, + 1.8326608475080237, + 1.96114472314054, + 2.0856319683135816, + 2.203962950352929, + 2.314045503721002, + 2.4139025731514536, + 2.5017176967386203, + 2.575877236221842, + 2.635008334558303, + 2.6780116787410106, + 2.7040882663514507, + 2.712759514640252, + 2.7038802076143464, + 2.677643945880619, + 2.6345809417452237, + 2.5755481839739334, + 2.5017121782553677, + 2.414524646352206, + 2.3156917348633907, + 2.2071374393595837, + 2.0909620876191677, + 1.9693968434203, + 1.8447552869669688, + 1.7193831972404994, + 1.5956077036910603, + 1.4756869886982, + 1.3617617078055015, + 1.2558092522379376, + 1.159601908695467, + 1.074669876596059, + 1.0022699851492745, + 0.943360814770556, + 0.898584772779563, + 0.8682575058516361, + 0.8523648554105013, + 0.8505673813744455, + 0.862212298813822, + 0.8863524955572883, + 0.9217721308970399, + 0.967018160370287, + 1.020436992897189, + 1.0802153676845943, + 1.1444244421171248, + 1.2110660106456381, + 1.2781197301217155, + 1.3435902101299466, + 1.4055528379668163, + 1.462197246645501, + 1.5118673996265448, + 1.5530973561886074, + 1.584641894152353, + 1.6055012991919377, + 1.614939778868591, + 1.6124971210572536, + 1.5979933865636318, + 1.5715266001943582, + 1.533463578998955, + 1.484424206510172, + 1.4252596233487025, + 1.3570249535312902, + 1.2809473185518323, + 1.198390004530173, + 1.1108137386730814, + 1.0197360977586218, + 0.9266901117470411, + 0.8331831390015066, + 0.7406570757112267, + 0.6504509213715975, + 0.5637666556862769, + 0.48163929175398235, + 0.40491185822654063, + 0.334215932153454, + 0.26995819780860836, + 0.21231334865737356, + 0.16122348378746448, + 0.1164039808045625, + 0.07735565867678619, + 0.043382880570225095, + 0.01361709248919349, + -0.012954847576491008, + -0.03745831971739752, + -0.061095445687679224, + -0.08510740240574391, + -0.11073555929850117, + -0.13918248490800497, + -0.17157387283153272, + -0.20892241474684703, + -0.2520945995321357, + -0.30178134353947017, + -0.358473259772132, + -0.4224412554899129, + -0.49372301159168164, + -0.5721157464250154, + -0.6571755052416357, + -0.7482230484226835, + -0.8443562410800415, + -0.9444686780065641, + -1.0472741154659266, + -1.1513361291006279, + -1.255102279162551, + -1.3569419438546297, + -1.4551868818979747, + -1.548173509076337, + -1.6342858224498253, + -1.711997881534031, + -1.7799147587066646, + -1.836810901446418, + -1.8816649060595219, + -1.913689784970973, + -1.9323579154773287, + -1.9374199845155853, + -1.9289173884127175, + -1.9071877052088615, + -1.872863026097984, + -1.8268611076417212, + -1.7703694833613006, + -1.7048228477196328, + -1.6318741930451255, + -1.5533603364541844, + -1.47126261540051, + -1.3876636535745361, + -1.304701200405312, + -1.2245201248147, + -1.1492236951659114, + -1.080825301201152, + -1.0212017695157958, + -0.9720493918011791, + -0.9348437254258005, + -0.9108041403122703, + -0.9008639765412566, + -0.9056470463013054, + -0.9254510648586436, + -0.9602384317472232, + -1.0096346093405544, + -1.0729341655906965, + -1.1491143653935891, + -1.2368560152023922, + -1.3345710925429333, + -1.4404365302035391, + -1.5524333780220583, + -1.6683904369557965, + -1.7860313536209003, + -1.9030240813201802, + -2.017031557741815, + -2.125762421358386, + -2.2270205887637258, + -2.3187525437352643, + -2.3990912449899393, + -2.466395642024388, + -2.519284895065156, + -2.5566665233814683, + -2.577757852882718, + -2.5821002954397816, + -2.5695661647758534, + -2.54035791284978, + -2.494999852025148, + -2.43432260755362, + -2.3594407176317795, + -2.271723960314, + -2.17276313394627, + -2.0643311469602925, + -1.9483403807206094, + -1.826797373066988, + -1.7017559282503607, + -1.5752697897745345, + -1.4493460155548206, + -1.3259001698033617, + -1.206714393853867, + -1.093399340120393, + -0.9873608515538451, + -0.8897721459110732, + -0.8015521229959347, + -0.7233502573253121, + -0.6555383723210477, + -0.5982094192934286, + -0.5511832094764165, + -0.5140188745557974, + -0.48603366479233323, + -0.466327538104424, + -0.45381285218767703, + -0.4472483483926555, + -0.44527651368253, + -0.4464633280459216, + -0.44933935115257334, + -0.45244107507875453, + -0.4543514701952024, + -0.4537386787206761, + -0.44939186423621, + -0.44025330420752257, + -0.42544591423015216, + -0.4042955146768387, + -0.37634728956681995, + -0.3413760402421124, + -0.29938999893906026, + -0.2506281354561327, + -0.19555105957644683, + -0.1348257884109755, + -0.0693048071687774, + -6.598554475674721e-16 + ], + [ + 0, + 0.0721055610618594, + 0.1450357360108681, + 0.21749092580010856, + 0.2881729806118373, + 0.35582397436120866, + 0.4192639974098587, + 0.47742694832566535, + 0.529393355935972, + 0.5744193382763672, + 0.6119609034468199, + 0.6416929163806039, + 0.663522192117557, + 0.6775943269146635, + 0.6842940396266787, + 0.684238963185415, + 0.678266995472902, + 0.6674174861375607, + 0.6529066967098316, + 0.6360981216559519, + 0.6184683939448119, + 0.6015696168257476, + 0.5869890607979068, + 0.5763072386845298, + 0.571055420378283, + 0.5726736708959345, + 0.5824704902339827, + 0.6015851011922825, + 0.6309533725505126, + 0.6712782811250202, + 0.7230057093123468, + 0.7863062473315321, + 0.8610635246169182, + 0.9468694362329912, + 1.0430264616811564, + 1.1485570991989973, + 1.262220262922318, + 1.3825343174417764, + 1.507806258630061, + 1.636166395264792, + 1.765607746778199, + 1.894029251912012, + 2.0192817841760626, + 2.139215895304212, + 2.251730159280877, + 2.354818968246717, + 2.4466186382801793, + 2.525450717603434, + 2.589861451400279, + 2.638656444715907, + 2.6709296757565837, + 2.6860861436613765, + 2.6838575843010153, + 2.664310851253312, + 2.6278487328427578, + 2.5752031557923494, + 2.507420907247434, + 2.4258421852814185, + 2.332072459134867, + 2.2279482801997896, + 2.115497829243435, + 1.9968971110456344, + 1.8744228114360666, + 1.750402911131611, + 1.6271662038556132, + 1.5069918916811824, + 1.3920604277664972, + 1.2844067457198105, + 1.1858769565124685, + 1.0980895095879517, + 1.0224017066648454, + 0.9598823273580523, + 0.9112909783179266, + 0.8770646157241878, + 0.8573115186330211, + 0.8518128120768891, + 0.8600314583208846, + 0.8811284566914968, + 0.9139858212504239, + 0.9572357454501887, + 1.0092952176655237, + 1.068405224658615, + 1.1326735746622383, + 1.2001202903746269, + 1.2687244666805448, + 1.3364714596297735, + 1.4013992727301186, + 1.4616430338726487, + 1.5154765104448524, + 1.5613496899798278, + 1.5979215569865977, + 1.624087320781025, + 1.6389994910513246, + 1.642082353977327, + 1.6330395680659855, + 1.6118547713096447, + 1.5787852655183316, + 1.5343490153887673, + 1.4793053647889705, + 1.4146300267754555, + 1.341485043216932, + 1.2611845311449907, + 1.1751571331184423, + 1.0849061655356993, + 0.9919685101128659, + 0.8978733184558354, + 0.8041015972504757, + 0.7120477122136265, + 0.6229837934015908, + 0.5380279442283186, + 0.45811705368594663, + 0.38398488843224327, + 0.3161460017570498, + 0.2548858435248613, + 0.20025729290384342, + 0.1520836681539951, + 0.10996809920806314, + 0.07330898350782483, + 0.041321087739785684, + 0.013061711741415393, + -0.01253880037550338, + -0.036643029594593056, + -0.06046985100402834, + -0.08525618939193276, + -0.11221819082047425, + -0.14251285558163646, + -0.1772011670988234, + -0.21721371391261518, + -0.26331973880850845, + -0.31610046198852815, + -0.37592741614410474, + -0.4429464030941924, + -0.5170675375347518, + -0.5979616870318527, + -0.6850634526226157, + -0.7775806654229319, + -0.8745102057460646, + -0.9746597866839048, + -1.0766751880621952, + -1.1790722831144331, + -1.2802730727820708, + -1.3786448344985751, + -1.4725414064286457, + -1.5603455666387185, + -1.6405114311910696, + -1.7116057866539993, + -1.7723472913044787, + -1.8216425249854582, + -1.8586179391134885, + -1.8826468540109393, + -1.8933707682531937, + -1.8907143812168008, + -1.8748938821528212, + -1.846418223156752, + -1.806083265323793, + -1.7549588629223025, + -1.6943691252461084, + -1.6258662655823728, + -1.5511986072366089, + -1.4722734637898933, + -1.391115741046899, + -1.3098232181976162, + -1.2305195527858932, + -1.155306115940931, + -1.0862137993884506, + -1.0251559430794066, + -0.9738835116001959, + -0.9339435992945583, + -0.9066422693462036, + -0.8930126327093474, + -0.8937889511074671, + -0.9093874072763144, + -0.9398940286130869, + -0.9850600812139846, + -1.0443050740444282, + -1.1167273319993294, + -1.2011219162807478, + -1.2960054952403226, + -1.3996476028769524, + -1.5101075695936932, + -1.6252762743238116, + -1.7429217520393643, + -1.8607375987631574, + -1.976393049755483, + -2.087583567157857, + -2.1920807619997613, + -2.287780492380737, + -2.3727480244042614, + -2.445259213955906, + -2.5038367639261483, + -2.5472807306066936, + -2.574692591815526, + -2.585492344425756, + -2.5794282665884487, + -2.5565791559477424, + -2.517349035245176, + -2.4624544965016604, + -2.3929050300656125, + -2.3099768509614504, + -2.215180888127344, + -2.1102257385837033, + -1.9969765050297394, + -1.877410529027593, + -1.753571100570773, + -1.6275202668349336, + -1.5012918773219568, + -1.3768459891637728, + -1.2560257154667027, + -1.1405175323443917, + -1.0318159684499013, + -0.9311934867201767, + -0.8396762345815311, + -0.7580261893953182, + -0.6867300642029021, + -0.6259951689047282, + -0.5757522481222704, + -0.5356651434744656, + -0.5051469591628511, + -0.48338224978788186, + -0.46935460216775665, + -0.46187885222796676, + -0.45963706698430595, + -0.4612173329665944, + -0.46515432827349107, + -0.46997061734233514, + -0.47421759633980054, + -0.47651503303185416, + -0.4755881875988453, + -0.4703015689798791, + -0.45968847318004746, + -0.44297556318184256, + -0.4196018817637, + -0.3892318352805754, + -0.3517618445656421, + -0.3073205245502766, + -0.2562624227729311, + -0.19915551438356374, + -0.13676281330870363, + -0.07001861182139667, + -6.639726198458992e-16 + ], + [ + 0, + 0.07204530281365329, + 0.14433146778695904, + 0.21556399996346925, + 0.2844706702806604, + 0.3498396271742207, + 0.4105559550910663, + 0.4656356924354699, + 0.514256386053506, + 0.5557833477269655, + 0.5897908880786621, + 0.6160779320216385, + 0.6346775641743652, + 0.6458602088771014, + 0.6501303136417125, + 0.6482165729034771, + 0.6410558965722324, + 0.6297714908593637, + 0.6156455730552712, + 0.6000873834318659, + 0.5845972826416024, + 0.570727828676864, + 0.5600428109228974, + 0.5540752779178425, + 0.5542856285653308, + 0.5620208428159402, + 0.5784759070010483, + 0.60465844150105, + 0.6413574653616451, + 0.6891171355799115, + 0.7482161804074602, + 0.8186536090433872, + 0.9001411278672049, + 0.9921025296309696, + 1.0936801508249554, + 1.2037483179817658, + 1.3209335303096814, + 1.4436409580501088, + 1.5700866775155558, + 1.698334918835314, + 1.8263394746419017, + 1.9519883104820543, + 2.0731503333450214, + 2.1877232155177464, + 2.293681138531761, + 2.3891213171356394, + 2.472308186203755, + 2.541714183787834, + 2.5960561399683706, + 2.6343263819593656, + 2.6558177886509533, + 2.6601421694861846, + 2.647241499836113, + 2.617391714049945, + 2.5711989340101105, + 2.5095881910192994, + 2.4337848778047544, + 2.3452893409830016, + 2.2458451882530195, + 2.1374020348777307, + 2.0220735470050553, + 1.902091751823696, + 1.779758673701945, + 1.6573964191448116, + 1.5372968700744694, + 1.4216721537010284, + 1.3126070378978894, + 1.2120143540097106, + 1.1215944755583316, + 1.0427997831785862, + 0.9768049257188817, + 0.9244835477332416, + 0.8863919979937568, + 0.8627603659738886, + 0.8534910175944269, + 0.8581646221769746, + 0.8760534838918131, + 0.9061418173726247, + 0.9471524428246518, + 0.9975792248669271, + 1.055724445182388, + 1.1197401850401687, + 1.1876727026386171, + 1.257508724164741, + 1.3272225280238954, + 1.3948226897525053, + 1.4583973708974431, + 1.5161570781549614, + 1.5664738881667803, + 1.6079162267848308, + 1.6392784069577602, + 1.659604263742546, + 1.668204374921063, + 1.6646665175425908, + 1.6488591803719717, + 1.6209281254680794, + 1.5812861646373584, + 1.5305964840198212, + 1.4697500084209922, + 1.3998374422914555, + 1.3221167528980775, + 1.2379769700725418, + 1.1488992633087578, + 1.056416318822133, + 0.9620710750084415, + 0.8673758837294432, + 0.7737731468595559, + 0.6825984330816037, + 0.5950470102098823, + 0.5121446351657967, + 0.43472332954063003, + 0.3634027363800878, + 0.2985775067952944, + 0.2404110069887363, + 0.18883547129650083, + 0.14355855907528145, + 0.1040761069553144, + 0.06969070734834025, + 0.039535593206614046, + 0.012603171690210418, + -0.012222570912860326, + -0.03613067091458628, + -0.06034575114735762, + -0.08608955569835983, + -0.11454249124493134, + -0.1468062113393473, + -0.18386825392702005, + -0.22656969034072802, + -0.275576667299068, + -0.33135662397600113, + -0.3941598465007386, + -0.46400688530546763, + -0.5406822100116095, + -0.6237343158327812, + -0.7124823288291928, + -0.8060289889829209, + -0.9032797242339533, + -1.0029673695231045, + -1.1036819365668946, + -1.203904706313954, + -1.3020458002163902, + -1.396484291562531, + -1.4856098466088432, + -1.5678648389879548, + -1.6417858610961815, + -1.7060435634574103, + -1.7594797873243297, + -1.801141016241988, + -1.8303072575357897, + -1.8465155726476867, + -1.849577603310862, + -1.8395905855976133, + -1.8169415023405615, + -1.7823041924147354, + -1.7366294087327188, + -1.6811279912587946, + -1.6172474925663345, + -1.5466427571910175, + -1.4711411081929917, + -1.3927029311323202, + -1.3133785636567394, + -1.235262495126753, + -1.1604459527221047, + -1.090968996439371, + -1.0287732640961909, + -0.9756564983671177, + -0.933229951136378, + -0.90287969689409, + -0.8857327980146472, + -0.8826291526561557, + -0.8940997233987025, + -0.9203516947959065, + -0.9612609443777274, + -1.0163720382829813, + -1.084905783830719, + -1.165774191313628, + -1.2576025204997467, + -1.3587579180713978, + -1.467383994641169, + -1.5814405479098772, + -1.698747515438517, + -1.8170321393996522, + -1.9339782490205257, + -2.0472765160991284, + -2.1546745161909584, + -2.2540254333772087, + -2.34333427979853, + -2.420800561549791, + -2.484856408594688, + -2.534199295961645, + -2.567818613935973, + -2.585015493071359, + -2.5854154519790007, + -2.5689736080492374, + -2.5359723693084053, + -2.487011705165184, + -2.422992270476389, + -2.345091826859035, + -2.2547355633724995, + -2.153561061754861, + -2.043378775861618, + -1.9261289978262985, + -1.803836362280895, + -1.6785629928752501, + -1.552361421095869, + -1.4272284054536848, + -1.305060749619697, + -1.1876141618470262, + -1.076466116497462, + -0.972983573780897, + -0.878296288574701, + -0.7932762965791601, + -0.7185240096661198, + -0.6543611860091545, + -0.6008308685957671, + -0.5577042123004969, + -0.5244939491526861, + -0.5004740779925534, + -0.48470521241741604, + -0.4760648835323206, + -0.4732819749130064, + -0.4749743692779852, + -0.4796888120297182, + -0.4859419478483485, + -0.49226146405414767, + -0.4972262789809947, + -0.4995047449309439, + -0.49788989254754107, + -0.4913308251424521, + -0.47895947551715384, + -0.4601120614631234, + -0.43434471623642196, + -0.40144292331315146, + -0.3614245467490544, + -0.314536415376564, + -0.2612445866441439, + -0.20221857989214154, + -0.13831002511682736, + -0.07052631784796165, + -6.660975580198429e-16 + ], + [ + 0, + 0.07176743336096932, + 0.14319632009434757, + 0.21300812720982157, + 0.2799669729505197, + 0.34291675367878793, + 0.40081616636474066, + 0.4527706790665574, + 0.4980605798208313, + 0.536164334824619, + 0.5667766071595406, + 0.5898204245505626, + 0.60545313530871, + 0.6140659518777145, + 0.6162770472434016, + 0.6129183366805165, + 0.6050162416739835, + 0.5937668901955203, + 0.5805063538477154, + 0.566676653982343, + 0.553788382397895, + 0.543380874711658, + 0.5369809435944337, + 0.5360612229435888, + 0.5419991915729577, + 0.5560379355948584, + 0.5792496725110616, + 0.6125029979361608, + 0.6564347293185352, + 0.7114271120852068, + 0.7775910249646647, + 0.8547556759815281, + 0.942465122334523, + 1.0399817799627928, + 1.1462969162092638, + 1.2601479458711096, + 1.380042181381868, + 1.5042865261137557, + 1.631022449855135, + 1.7582654511556213, + 1.8839480958115369, + 2.00596562719732, + 2.122223074809795, + 2.2306827440643384, + 2.3294109542076304, + 2.416622902667363, + 2.4907245730391727, + 2.550350669334812, + 2.594397649546306, + 2.622051044864337, + 2.6328063843050833, + 2.6264831948290306, + 2.6032317106384975, + 2.563532098247368, + 2.5081861819232776, + 2.4383018328757182, + 2.35527036074637, + 2.2607374132776745, + 2.156568045408712, + 2.0448067586798517, + 1.9276334323096052, + 1.8073161656947785, + 1.686162125976226, + 1.5664675419025897, + 1.450468005353537, + 1.3402902340637426, + 1.2379064135153823, + 1.1450921735155302, + 1.0633891671782292, + 0.9940731090424737, + 0.9381279975953751, + 0.8962270987540302, + 0.86872110452843, + 0.8556337091106294, + 0.8566646672139558, + 0.8712002209508504, + 0.8983306062416976, + 0.9368741819575265, + 0.9854075687942945, + 1.0423010440432086, + 1.105758316363864, + 1.1738597043225616, + 1.2446076662249754, + 1.3159735784519653, + 1.385944636259819, + 1.4525697553229735, + 1.5140033839900064, + 1.5685461944287575, + 1.6146817040393775, + 1.6511079845850727, + 1.6767637427406097, + 1.6908481990058266, + 1.6928343485801312, + 1.6824753539252264, + 1.6598039902118962, + 1.6251252373850382, + 1.5790022819042182, + 1.522236353130276, + 1.4558409698303076, + 1.3810113076554191, + 1.2990895153841029, + 1.2115269033616982, + 1.119843999583297, + 1.0255895155377392, + 0.930299284164341, + 0.8354562256450476, + 0.742452363507886, + 0.6525538545639178, + 0.5668699130919583, + 0.4863264045778276, + 0.4116447599108411, + 0.3433267204216121, + 0.2816452710941569, + 0.2266419575931803, + 0.17813061651795484, + 0.13570738173981378, + 0.09876666701752661, + 0.06652267042768194, + 0.03803580340515797, + 0.012243319968184632, + -0.012006686783172207, + -0.03591884081698005, + -0.06071257522757678, + -0.08758378152540577, + -0.11766704930793909, + -0.15199951474614096, + -0.19148729543114149, + -0.2368754230868734, + -0.28872209612620264, + -0.3473779632629812, + -0.4129710201795396, + -0.4853975568439722, + -0.5643194371153599, + -0.6491678287032869, + -0.7391533344920107, + -0.8332823099236372, + -0.9303789897694497, + -1.0291128952965716, + -1.128030853429752, + -1.2255928365681261, + -1.320210728389893, + -1.41028903992326, + -1.4942665434844162, + -1.5706577612818051, + -1.638093241413259, + -1.6953575768248248, + -1.7414241720702703, + -1.77548583725972, + -1.7969803866320628, + -1.8056105383555294, + -1.801357549549003, + -1.7844881727571773, + -1.7555546834619433, + -1.715387898641981, + -1.6650832796883106, + -1.605980384850673, + -1.5396361025590315, + -1.467792253298479, + -1.3923382903118622, + -1.3152699546902624, + -1.2386448452379166, + -1.1645359452126225, + -1.0949842045604636, + -1.03195130611714, + -0.9772737466252691, + -0.9326193381819456, + -0.8994471834277062, + -0.8789720996301008, + -0.8721343646525264, + -0.8795755340771005, + -0.9016209364478529, + -0.9382692961572625, + -0.9891897647316857, + -1.0537264652792773, + -1.1309104759291349, + -1.2194790005713108, + -1.3179013034321891, + -1.4244108221796001, + -1.5370427262977073, + -1.653676057016448, + -1.7720794753106603, + -1.8899595580812563, + -2.0050105217048935, + -2.114964218176101, + -2.2176392428943017, + -2.310988014912722, + -2.3931407396308586, + -2.462445239268385, + -2.5175017361577385, + -2.5571917954915113, + -2.5807007746809663, + -2.5875332824842503, + -2.5775213187306107, + -2.550824940702907, + -2.5079254807650133, + -2.449611517278467, + -2.376957972920381, + -2.2912988770065983, + -2.1941944773955435, + -2.087393519392635, + -1.9727916206119747, + -1.8523867593052024, + -1.7282329571308528, + -1.6023932742259217, + -1.4768932439265396, + -1.3536758564142455, + -1.2345591554670972, + -1.1211974415625283, + -1.0150469796399035, + -0.9173369933022996, + -0.8290465920630115, + -0.7508881278234545, + -0.6832973148729838, + -0.6264302783738539, + -0.58016752375447, + -0.5441246479714327, + -0.5176694474686984, + -0.4999449209709644, + -0.4898975218654537, + -0.4863098883783729, + -0.4878371731396944, + -0.49304600964905065, + -0.5004550936356483, + -0.508576323758137, + -0.5159554392768829, + -0.5212111123420171, + -0.5230714987958184, + -0.5204073226521497, + -0.5122606638285683, + -0.4978687338324563, + -0.47668205698890764, + -0.4483766220524917, + -0.41285972691893735, + -0.37026940363595495, + -0.32096747783389123, + -0.2655264818287348, + -0.20471079981393192, + -0.13945257272913741, + -0.07082302580373964, + -6.662089672192134e-16 + ], + [ + 0, + 0.07127429385754543, + 0.14164017689371441, + 0.20984567222110775, + 0.2747012283537016, + 0.33511555205822585, + 0.3901288102684874, + 0.43894230104054494, + 0.48094378416937345, + 0.5157277736352536, + 0.5431102236891282, + 0.5631371848514638, + 0.5760871617435438, + 0.5824670675636365, + 0.5830018360465639, + 0.578617916703749, + 0.5704210388534046, + 0.559668780364906, + 0.5477386143331844, + 0.5360922275676688, + 0.5262370057369585, + 0.5196856586556493, + 0.5179150134891236, + 0.5223250321480188, + 0.5341991110523163, + 0.5546666966355152, + 0.5846691989704376, + 0.6249301099238467, + 0.6759301331082173, + 0.7378880129990742, + 0.8107476128520822, + 0.8941716388636257, + 0.9875422451179234, + 1.0899685842739086, + 1.200301196863149, + 1.317152961764172, + 1.4389261661230368, + 1.5638450987992156, + 1.689993431183116, + 1.8153555264727215, + 1.9378607163027664, + 2.055429504579294, + 2.166020604506977, + 2.2676776875101763, + 2.358574722791188, + 2.4370588137185893, + 2.50168949149586, + 2.551273506366221, + 2.584894260071747, + 2.601935147926705, + 2.6020962216845405, + 2.5854037419215876, + 2.55221235710828, + 2.503199821797231, + 2.4393543441617127, + 2.361954829135127, + 2.272544453338753, + 2.1728981676931194, + 2.064984869187101, + 1.950925111170462, + 1.8329453286145938, + 1.7133296384335468, + 1.594370333129016, + 1.47831821729592, + 1.3673339401363214, + 1.2634414529919196, + 1.1684846696118782, + 1.0840883296805657, + 1.0116239649293877, + 0.9521817444264844, + 0.9065488343802056, + 0.8751947514628787, + 0.8582640210813317, + 0.8555762772840282, + 0.8666337633664603, + 0.8906360160480347, + 0.92650134563591, + 0.9728945640091161, + 1.0282602654464494, + 1.0908608358376148, + 1.1588182567805352, + 1.2301586850940087, + 1.3028587274068206, + 1.3748922951446627, + 1.4442769181915682, + 1.5091184158463538, + 1.5676528708455655, + 1.6182849249409113, + 1.6596215109327241, + 1.6905002537207363, + 1.710011908870306, + 1.71751635799115, + 1.7126518421118873, + 1.6953372831666507, + 1.665767715483431, + 1.6244030195111328, + 1.5719503147214882, + 1.5093405236015713, + 1.4376997600914527, + 1.3583163202440456, + 1.2726041572461573, + 1.1820638047031007, + 1.088241769284893, + 0.9926894451079893, + 0.8969226068801136, + 0.8023825168316467, + 0.710399632425373, + 0.6221608290579838, + 0.5386809563391266, + 0.46077943052337555, + 0.3890624322509725, + 0.32391113132936045, + 0.2654762026111969, + 0.21367873309918461, + 0.16821745438928204, + 0.12858207065448776, + 0.09407229471719869, + 0.06382205734294139, + 0.03682822143528817, + 0.011983016689732843, + -0.011890685596407087, + -0.03600221104166923, + -0.061555036163633184, + -0.08970888286536645, + -0.12154297502932937, + -0.15802144914064523, + -0.1999618556767096, + -0.24800760870157051, + -0.30260513968853536, + -0.3639863906184135, + -0.43215714391365245, + -0.5068915362382389, + -0.5877329434191825, + -0.6740012587635987, + -0.764806421027131, + -0.8590678854373289, + -0.9555395756177543, + -1.0528397099457865, + -1.1494847664834087, + -1.2439267394507334, + -1.3345927501196455, + -1.4199260083195784, + -1.4984270792147687, + -1.568694394752768, + -1.6294629606605981, + -1.6796402478733308, + -1.7183383209512908, + -1.7449013438643801, + -1.7589277133766152, + -1.7602861994774, + -1.7491256177162942, + -1.725877716331861, + -1.6912531278269685, + -1.6462304060109771, + -1.5920383412577033, + -1.5301319145522578, + -1.4621624106427693, + -1.3899423582880381, + -1.315406097503703, + -1.2405668865428872, + -1.1674715522551617, + -1.0981537541362758, + -1.0345869730930823, + -0.9786383496227096, + -0.9320244823271074, + -0.8962702567149117, + -0.8726717070136603, + -0.8622638218081853, + -0.8657940899256029, + -0.8837024488521046, + -0.9161081473292734, + -0.962803870285902, + -1.023257301884037, + -1.0966201253876278, + -1.1817442811106527, + -1.2772051301954692, + -1.3813310066452138, + -1.492238486923185, + -1.6078725692780464, + -1.726050837108514, + -1.8445105850260652, + -1.9609578151478426, + -2.0731169662932616, + -2.178780221263055, + -2.2758552476756484, + -2.362410265667867, + -2.436715400208466, + -2.4972793652443475, + -2.542880639209741, + -2.5725924238290574, + -2.5858008273954165, + -2.582215876159563, + -2.561875129147671, + -2.525139848449633, + -2.4726838544699055, + -2.4054753694865108, + -2.324752318889495, + -2.2319917136347023, + -2.1288738760154806, + -2.01724239047624, + -1.8990607589901722, + -1.776366814162633, + -1.6512259909637672, + -1.5256845787408866, + -1.4017240684816912, + -1.2812176764379755, + -1.1658900650913657, + -1.057281197606923, + -0.956715154544026, + -0.8652746143956324, + -0.7837815557079838, + -0.7127845817004497, + -0.6525531023779989, + -0.6030784382444494, + -0.5640817381317071, + -0.5350284356167319, + -0.5151488081636176, + -0.5034640544612562, + -0.4988171720875565, + -0.49990780288890924, + -0.5053301201184348, + -0.5136127616889223, + -0.5232597695320611, + -0.5327914770448535, + -0.5407842953171128, + -0.5459083839722794, + -0.5469622530586264, + -0.5429034269055374, + -0.532874407020281, + -0.5162232962166265, + -0.4925185870380044, + -0.46155777057520386, + -0.42336958309207534, + -0.37820987336979606, + -0.3265512391688357, + -0.26906674250016527, + -0.20660816641607566, + -0.14017941691051314, + -0.07090579870206312, + -6.643040434379734e-16 + ], + [ + 0, + 0.07057015787584578, + 0.13967664327535328, + 0.20610426854864297, + 0.26871926222257425, + 0.3265035137967913, + 0.37858569031690414, + 0.42426837949555096, + 0.46305051646837153, + 0.49464447280182877, + 0.5189873240468834, + 0.536245962481511, + 0.5468158809086652, + 0.551313617450373, + 0.5505630160527043, + 0.5455756187176065, + 0.5375256592153501, + 0.5277202702995965, + 0.5175656436225095, + 0.5085299903801584, + 0.5021042384141113, + 0.49976146578511477, + 0.5029161100330435, + 0.5128840053844415, + 0.5308442866580695, + 0.5578041588076057, + 0.5945674658451456, + 0.6417079038623059, + 0.6995476121592696, + 0.7681417468039139, + 0.8472694954505657, + 0.9364318345299063, + 1.034856163869291, + 1.1415077835244007, + 1.2551080073209793, + 1.3741585415517725, + 1.4969715995855992, + 1.6217050777612778, + 1.746401988501773, + 1.8690332363480704, + 1.9875427343658805, + 2.0998937943693425, + 2.2041156862894673, + 2.2983492508086982, + 2.3808904654423713, + 2.450230907256438, + 2.505094124386636, + 2.5444670218442056, + 2.5676254825307887, + 2.5741535791668704, + 2.563955883709048, + 2.537262544137113, + 2.4946269702664505, + 2.436916146305853, + 2.3652937639459117, + 2.2811965415346376, + 2.1863042581810403, + 2.0825041824354806, + 1.971850709840318, + 1.8565211388332126, + 1.7387686073993223, + 1.6208732812335407, + 1.5050929263157367, + 1.3936140136879362, + 1.288504491487914, + 1.1916693192483485, + 1.1048097930950893, + 1.0293875993943975, + 0.9665944208361021, + 0.9173277856738744, + 0.8821737011335666, + 0.8613964495041826, + 0.8549357541122461, + 0.862411346430656, + 0.8831347892780563, + 0.9161282387192057, + 0.9601496630733416, + 1.0137238853638129, + 1.0751786792829028, + 1.142685031591795, + 1.2143005886437763, + 1.288015233682885, + 1.3617976964047662, + 1.4336420780081036, + 1.5016131839843763, + 1.563889592891417, + 1.6188034513667668, + 1.6648760720569389, + 1.700848519765629, + 1.7257064992112938, + 1.7386990021123079, + 1.7393503282701046, + 1.7274652609790906, + 1.703127347329857, + 1.6666904045601467, + 1.6187635403167315, + 1.560190133398094, + 1.4920213683377028, + 1.4154850484508457, + 1.3319505244889853, + 1.2428906670826398, + 1.1498418785059488, + 1.0543631813580547, + 0.957995437556735, + 0.8622217402645862, + 0.7684299843684868, + 0.6778785589143939, + 0.5916660190965051, + 0.5107054882343214, + 0.4357044143962798, + 0.36715016515926036, + 0.30530179102542976, + 0.2501881271378399, + 0.2016122382240441, + 0.15916204732317904, + 0.12222682897376984, + 0.09001909619676557, + 0.06160127162177955, + 0.0359164099813219, + 0.011822135042709465, + -0.011873128514124913, + -0.03637260665223135, + -0.06285332307642341, + -0.09242896170934421, + -0.1261144459035566, + -0.16479319153993274, + -0.20918792233619538, + -0.2598358439808816, + -0.31706886143042934, + -0.38099939369287317, + -0.45151219595211745, + -0.5282624436094722, + -0.6106801706570816, + -0.6979809898514682, + -0.7891828585989219, + -0.8831284964432254, + -0.9785129115705014, + -1.073915358592889, + -1.1678349314893952, + -1.2587288970003567, + -1.3450527975311295, + -1.4253013007045, + -1.4980487464867902, + -1.5619883430355896, + -1.61596898915222, + -1.6590287538808681, + -1.6904241211405933, + -1.7096542074479955, + -1.7164792813551342, + -1.7109330512423366, + -1.6933283401805417, + -1.6642559289656762, + -1.624576517116659, + -1.5754059224401595, + -1.5180938084594409, + -1.4541963913831042, + -1.385443730302427, + -1.3137023421505738, + -1.2409340031736698, + -1.1691516982216714, + -1.1003737555404423, + -1.0365772559777156, + -0.9796518302638648, + -0.931354955605096, + -0.8932698332119177, + -0.8667668722307057, + -0.8529697241572828, + -0.8527267071196305, + -0.8665883339293476, + -0.8947915145421597, + -0.9372508460017069, + -0.9935572348901516, + -1.0629839228585787, + -1.1444998092072534, + -1.2367897900352705, + -1.3382816654383962, + -1.4471790087067453, + -1.5614992483098682, + -1.6791160881573948, + -1.7978052872527275, + -1.915292738971112, + -2.029303734770599, + -2.1376122685438887, + -2.238089236740379, + -2.3287484158596707, + -2.4077891522924517, + -2.473634778456805, + -2.5249658718166463, + -2.560747597162788, + -2.580250514460482, + -2.5830643911501414, + -2.5691047252056953, + -2.5386118594194946, + -2.492142744044933, + -2.4305555797819562, + -2.3549877418795613, + -2.2668275447505324, + -2.1676805510989308, + -2.0593312566518027, + -1.9437010880997585, + -1.8228037352338153, + -1.6986988965372294, + -1.5734455492922197, + -1.4490558598861532, + -1.3274508274143582, + -1.2104187045120343, + -1.0995771648941424, + -0.9963400892484491, + -0.9018897223957155, + -0.817154817994906, + -0.7427952359587745, + -0.6791932959353174, + -0.6264520217384276, + -0.5844002406677591, + -0.5526043324855396, + -0.5303862596062161, + -0.5168473568345898, + -0.5108972195334748, + -0.5112869068362619, + -0.51664557443092, + -0.5255195720088174, + -0.5364129856033585, + -0.547828576032035, + -0.558308062145714, + -0.5664707215618056, + -0.5710493313334387, + -0.5709225452599769, + -0.5651429013413349, + -0.5529597697237946, + -0.5338366853850737, + -0.5074626573452494, + -0.4737572036144334, + -0.43286902440267394, + -0.38516839118359164, + -0.3312334918442272, + -0.27183112825783096, + -0.2078923082412635, + -0.14048340532881493, + -0.07077367379341658, + -6.603983414639129e-16 + ], + [ + 0, + 0.06966117240342884, + 0.13732287928104173, + 0.2018165015114945, + 0.2620728805525328, + 0.3171546990722863, + 0.36628526948944307, + 0.4088729466067812, + 0.4445304934778187, + 0.4730888599791639, + 0.4946049779798506, + 0.5093633318548704, + 0.5178712244687038, + 0.5208478225735795, + 0.5192072276784556, + 0.5140359747385077, + 0.5065655075227731, + 0.49814031251157004, + 0.4901825092619829, + 0.4841537913849391, + 0.481515686121691, + 0.48368915006817537, + 0.49201454255582416, + 0.5077130158793752, + 0.531850332945553, + 0.5653040686391196, + 0.6087350725461255, + 0.6625639695319055, + 0.7269533535031575, + 0.8017961914544711, + 0.8867108030074059, + 0.9810426188404834, + 1.083872753682728, + 1.1940332600595223, + 1.3101287619488575, + 1.430564007088251, + 1.5535767268730272, + 1.6772750573559168, + 1.7996786571989098, + 1.9187625615109953, + 2.03250273679271, + 2.1389222535943655, + 2.236136971256648, + 2.322399633868631, + 2.39614130831116, + 2.456009153251185, + 2.5008995908621108, + 2.529986058899228, + 2.542740647020379, + 2.5389490648672255, + 2.5187185469361673, + 2.4824784668482254, + 2.4309736071988635, + 2.3652502065045686, + 2.2866350775866136, + 2.1967082578249824, + 2.0972698070180043, + 1.990301509298468, + 1.8779243582415248, + 1.7623528059494393, + 1.6458468350235305, + 1.5306629650181198, + 1.4190053309228357, + 1.3129779697985307, + 1.2145394229298696, + 1.1254607054544854, + 1.047287614736937, + 0.9813082447467113, + 0.9285264489141595, + 0.8896418514258085, + 0.8650368501613274, + 0.8547708872968302, + 0.8585820900825477, + 0.8758962086789849, + 0.905842604483427, + 0.9472768753193039, + 0.998809547253844, + 1.058840120452733, + 1.1255956318168943, + 1.197172793180318, + 1.271582683069282, + 1.34679691435023, + 1.4207941708221437, + 1.4916060035850782, + 1.557360802817945, + 1.6163249117386187, + 1.666939925664021, + 1.7078553182882803, + 1.7379556570415575, + 1.7563818066653807, + 1.7625456715021866, + 1.75613818866536, + 1.7371304522036664, + 1.7057680184262782, + 1.662558610494698, + 1.608253602061081, + 1.543823811148682, + 1.470430272903685, + 1.389390779928178, + 1.3021430787007824, + 1.2102056876848954, + 1.1151373552658714, + 1.0184962024150803, + 0.9217995953638378, + 0.8264857676559263, + 0.7338781594637916, + 0.6451533663670846, + 0.5613134918733764, + 0.48316358033241374, + 0.41129467256911906, + 0.3460728789626423, + 0.28763470758172993, + 0.23588872233699124, + 0.19052344204769245, + 0.1510212299943381, + 0.11667776901423847, + 0.08662657339603289, + 0.05986785936747133, + 0.03530098411188095, + 0.011759571810122622, + -0.011951623511854616, + -0.037019112816202425, + -0.06458333775801421, + -0.09570261312788941, + -0.13131931873259706, + -0.17222925524732569, + -0.21905499687470684, + -0.27222397047930375, + -0.33195186883652755, + -0.3982318678234421, + -0.4708299672668581, + -0.5492866165448224, + -0.6329246229222084, + -0.7208631771177022, + -0.8120376708898441, + -0.9052248295459476, + -0.999072542079855, + -1.092133646704553, + -1.1829028230576437, + -1.2698556570566935, + -1.3514888824759004, + -1.426360766430355, + -1.4931305950895057, + -1.5505962314480453, + -1.5977287585503466, + -1.6337032882313764, + -1.6579251056103135, + -1.6700504310694408, + -1.6700012115494507, + -1.6579734985019898, + -1.6344391271782583, + -1.6001405772130983, + -1.556079063594836, + -1.5034960758946707, + -1.4438487478669826, + -1.3787795951281514, + -1.3100813016865087, + -1.239657363041679, + -1.1694795012017183, + -1.1015428525553563, + -1.037819990900214, + -0.9802148834741463, + -0.930517886610652, + -0.890362869343883, + -0.8611875082952479, + -0.8441977265124133, + -0.8403371542674319, + -0.8502623734137696, + -0.8743245715501813, + -0.9125580812125087, + -0.96467611627243, + -1.0300738466257071, + -1.1078387772654732, + -1.1967682232238999, + -1.2953935018883878, + -1.4020103030084243, + -1.5147145482464788, + -1.6314429200224814, + -1.750017126890003, + -1.8681908825189502, + -1.9836985097540878, + -2.0943040417801835, + -2.1978496801220144, + -2.2923024843456727, + -2.3757982105403967, + -2.4466812839166487, + -2.5035399834908523, + -2.545236031576134, + -2.5709279148581548, + -2.5800874139306074, + -2.572508980630624, + -2.5483117733842477, + -2.5079343358774406, + -2.452122079440788, + -2.381907900312565, + -2.2985864252721555, + -2.2036825290731588, + -2.09891490102129, + -1.9861555527026773, + -1.86738625151819, + -1.7446529331077727, + -1.620019188343621, + -1.495519936358683, + -1.3731163837445668, + -1.2546533319561224, + -1.1418198311119205, + -1.0361140904282322, + -0.9388134457050848, + -0.8509500553693131, + -0.7732928518093218, + -0.7063361177310092, + -0.6502948919420901, + -0.6051072394454745, + -0.5704432512013132, + -0.5457204735996933, + -0.5301253106573012, + -0.5226397970815181, + -0.5220730111932245, + -0.5270962864255228, + -0.5362812914029562, + -0.5481399835954401, + -0.5611654017782526, + -0.5738722489268236, + -0.5848362299904214, + -0.5927311478198539, + -0.596362824319325, + -0.5946990009775606, + -0.5868944810551066, + -0.5723109020863754, + -0.5505306687682471, + -0.5213647291507368, + -0.48485403743783523, + -0.44126471058247957, + -0.3910770490709679, + -0.3349687507134446, + -0.2737927958875503, + -0.20855061974657751, + -0.1403613079456878, + -0.0704276544101138, + -6.545254592730593e-16 + ], + [ + 0, + 0.06855528044705994, + 0.13459939925157874, + 0.1970195437490407, + 0.254819307652908, + 0.30714895173965345, + 0.3533316457934074, + 0.3928849753900616, + 0.42553711957651436, + 0.45123724339164745, + 0.47015979899625143, + 0.4827025871412503, + 0.4894785928108562, + 0.491301771025346, + 0.48916711686735237, + 0.4842255037939379, + 0.47775391240062753, + 0.4711217944932968, + 0.4657544214619642, + 0.4630941488610244, + 0.4645605886358582, + 0.4715107150316562, + 0.48519993893504926, + 0.5067451679382488, + 0.5370908261395532, + 0.5769787396111326, + 0.626922702205612, + 0.6871884241508058, + 0.7577794354392487, + 0.838429370559239, + 0.9286009042220649, + 1.0274914432942253, + 1.134045512219118, + 1.2469736019810438, + 1.364777090289219, + 1.485778687193023, + 1.6081577196226102, + 1.7299894439138277, + 1.849287470360177, + 1.9640483008998417, + 2.07229692231439, + 2.1721323643149146, + 2.261772125515425, + 2.3395943907806287, + 2.4041770103609394, + 2.454332283514237, + 2.489136685255804, + 2.50795479218399, + 2.5104567991776046, + 2.496629169869357, + 2.466778126504174, + 2.421525855138186, + 2.3617994759757783, + 2.2888130017399257, + 2.2040426750987945, + 2.1091962352211318, + 2.0061768096136983, + 1.8970422569303438, + 1.7839608962610831, + 1.6691646458180869, + 1.5549006567896755, + 1.4433825648876555, + 1.33674249186267, + 1.236984911760867, + 1.1459434523655152, + 1.0652416321878841, + 0.9962584392516437, + 0.9400995420514597, + 0.8975747882875922, + 0.8691824965750302, + 0.8551008839685045, + 0.8551868017955678, + 0.8689817781024962, + 0.895725191236722, + 0.9343742299451343, + 0.983630134972036, + 1.0419700693865679, + 1.1076838333349444, + 1.1789145267724535, + 1.2537021736787137, + 1.3300292554440811, + 1.4058670610849489, + 1.479221748612596, + 1.5481790254988772, + 1.610946396342656, + 1.6658919914813295, + 1.7115790797244612, + 1.7467954793401927, + 1.7705772111034066, + 1.7822258823637827, + 1.7813194480842252, + 1.7677161597224254, + 1.7415516815804066, + 1.703229522642972, + 1.6534050957984359, + 1.5929638716383892, + 1.5229942369433254, + 1.4447557949706369, + 1.3596439526663329, + 1.2691517262971874, + 1.1748297596655763, + 1.0782455865395124, + 0.9809431803513032, + 0.8844038193874609, + 0.7900092550628318, + 0.6990081055406812, + 0.6124863086391854, + 0.5313423589377516, + 0.4562679270617007, + 0.3877343175226205, + 0.3259850688282592, + 0.271034839725346, + 0.22267456245149936, + 0.18048268187139474, + 0.1438421424507533, + 0.11196263713971105, + 0.0839074971238822, + 0.05862448246073433, + 0.03497963384513718, + 0.011793267650553952, + -0.012122858066465927, + -0.03792820836512307, + -0.06671697250349277, + -0.09948338467434328, + -0.1370898003866031, + -0.1802383930476315, + -0.22944724160834104, + -0.2850314665532174, + -0.3470899409208068, + -0.4154979587278039, + -0.4899060887898508, + -0.5697452813888901, + -0.6542381325936224, + -0.7424160504162292, + -0.833141912458485, + -0.9251376601890293, + -1.0170161441789525, + -1.1073164208441066, + -1.1945416074156945, + -1.2771983304049106, + -1.353836755604693, + -1.423090165939155, + -1.4837130578486892, + -1.534616757353532, + -1.5749016127840134, + -1.603884901078676, + -1.621123686603895, + -1.6264319931548568, + -1.6198917881757857, + -1.6018574298824568, + -1.5729533891389442, + -1.5340652246440043, + -1.4863239580843441, + -1.4310841612319571, + -1.3698962253797262, + -1.3044734310648027, + -1.2366545690248716, + -1.1683629784228757, + -1.1015629626524859, + -1.0382146140991204, + -0.9802281252505429, + -0.9294186833110791, + -0.8874630384068766, + -0.8558588016694643, + -0.8358874697046638, + -0.8285820875894524, + -0.8347003555949136, + -0.8547038578737278, + -0.8887439474367886, + -0.936654664359598, + -0.9979528971254282, + -1.0718458243921756, + -1.1572455004692763, + -1.2527902766559238, + -1.3568725865015272, + -1.4676724700162795, + -1.5831960736281807, + -1.7013182426378652, + -1.8198282240058956, + -1.9364774219449978, + -2.0490280988324745, + -2.1553018906347488, + -2.2532270099239433, + -2.3408830405768026, + -2.4165422856269787, + -2.478706712093328, + -2.526139641921575, + -2.5578914638828585, + -2.5733187843017085, + -2.572096591346225, + -2.554223174476772, + -2.520017713446022, + -2.470110625760205, + -2.4054269334988625, + -2.327163075663699, + -2.23675774677172, + -2.1358574824768652, + -2.0262778352111015, + -1.90996108423645, + -1.7889315026659656, + -1.6652492570897504, + -1.5409640421976296, + -1.418069552638267, + -1.2984598673731755, + -1.1838887687116693, + -1.0759329404280322, + -0.9759598888517838, + -0.8851013101265506, + -0.8042324889877679, + -0.733958162866008, + -0.6746051236626014, + -0.6262216621876021, + -0.5885837911518733, + -0.5612080159558709, + -0.5433702624360909, + -0.5341304211636312, + -0.5323618325148538, + -0.5367849188676389, + -0.5460040727917002, + -0.5585468353575237, + -0.5729043484742726, + -0.5875720406554086, + -0.6010895073320058, + -0.612078574661668, + -0.6192785889381988, + -0.6215780507847907, + -0.6180418123069995, + -0.6079331737425442, + -0.5907303508429965, + -0.5661369318248362, + -0.5340860994822498, + -0.4947385559863577, + -0.44847425090586485, + -0.39587817295130984, + -0.33772061882996707, + -0.2749324945441484, + -0.20857633189453512, + -0.139813812653109, + -0.06987068208679245, + -6.467365433000005e-16 + ], + [ + 0, + 0.06726212616199256, + 0.1315298389923919, + 0.19175474749192703, + 0.24702057414312478, + 0.29657106238894015, + 0.3398334793462965, + 0.3764370700226823, + 0.40622595010956386, + 0.42926606857766497, + 0.4458460251499024, + 0.45647168738494875, + 0.46185471352557456, + 0.46289524636058493, + 0.4606591960811028, + 0.45635067260051504, + 0.45128025642467007, + 0.4468299086211058, + 0.444415411885582, + 0.4454473037820257, + 0.4512913081369734, + 0.46322929010424513, + 0.48242175401661547, + 0.509872870894565, + 0.5463989651214006, + 0.5926013086831363, + 0.648843968471534, + 0.7152373299697621, + 0.7916277821794108, + 0.8775938973155719, + 0.9724492783324953, + 1.0752520817213254, + 1.184821056356463, + 1.299757775606429, + 1.4184745835494168, + 1.539227630854172, + 1.6601542453482891, + 1.7793137697854506, + 1.8947309076880041, + 2.004440549717975, + 2.1065330095848873, + 2.1991985811850325, + 2.280770337992768, + 2.3497641315416895, + 2.404914807338757, + 2.445207742309753, + 2.4699049158400923, + 2.478564854061104, + 2.4710559311601425, + 2.447562668673038, + 2.4085848401321663, + 2.3549293600432026, + 2.2876951087649102, + 2.208251014256419, + 2.1182078736950776, + 2.0193845486918436, + 1.9137693035493446, + 1.803477173394515, + 1.69070434519376, + 1.5776806072619485, + 1.4666209701223725, + 1.3596775822967697, + 1.2588930582872944, + 1.166156302800814, + 1.0831618559645144, + 1.0113737003330048, + 0.9519943639368684, + 0.9059400270695702, + 0.8738221970411163, + 0.8559363582434185, + 0.8522578384002234, + 0.8624449598731476, + 0.8858493715558514, + 0.9215332864312282, + 0.968293186437322, + 1.0246894038554701, + 1.0890808506934981, + 1.159664047817453, + 1.234515506769892, + 1.3116364416673734, + 1.3889987380842477, + 1.4645910815770236, + 1.5364641510078234, + 1.6027738109535863, + 1.6618212924507978, + 1.712089430700463, + 1.7522741301232883, + 1.7813103487405557, + 1.798392032209541, + 1.8029855795024332, + 1.7948365834035116, + 1.7739697557017944, + 1.7406821150395773, + 1.6955296806801836, + 1.6393080738982082, + 1.5730275763696804, + 1.497883328220549, + 1.415221464018689, + 1.3265020801518186, + 1.233259999421512, + 1.1370643465741035, + 1.0394779707684232, + 0.9420177471749492, + 0.8461167601895713, + 0.7530893159521599, + 0.664099653435666, + 0.5801351233524014, + 0.5019844850847415, + 0.43022183683270393, + 0.36519654662057094, + 0.30702939546763064, + 0.2556149828666414, + 0.21063028280596613, + 0.17154908000823868, + 0.1376618648416701, + 0.10810062530166266, + 0.0818678490880217, + 0.05786894127118217, + 0.034947176052697745, + 0.011920236864633829, + -0.012382640870181667, + -0.03908392458321694, + -0.06922242617234806, + -0.10372028303505632, + -0.14335317019518365, + -0.188724551286428, + -0.24024467144280653, + -0.29811487227862404, + -0.362317671225459, + -0.43261289801930874, + -0.5085400238789559, + -0.58942665786685, + -0.6744030241557386, + -0.7624220775140643, + -0.8522847662415699, + -0.9426698157998847, + -1.0321672859577145, + -1.1193150524870914, + -1.2026372839225885, + -1.2806839267159373, + -1.35207017978842, + -1.41551493288603, + -1.469877162516892, + -1.5141893241863835, + -1.5476868490903677, + -1.5698329457135678, + -1.5803380196658576, + -1.5791731558118864, + -1.5665772520952053, + -1.5430575508411217, + -1.5093834768735128, + -1.4665738584430648, + -1.4158777725944518, + -1.3587494170705903, + -1.296817562154796, + -1.2318502741965085, + -1.1657157244766754, + -1.1003399994678265, + -1.0376629088315532, + -0.9795928436137555, + -0.9279617675825677, + -0.8844814286708911, + -0.850701854854872, + -0.8279731499983622, + -0.8174115313455013, + -0.8198704531931813, + -0.8359175431439845, + -0.865817941071432, + -0.9095244798170422, + -0.9666749843480043, + -1.0365967965808451, + -1.1183184604494865, + -1.2105883302765603, + -1.3118996992846759, + -1.4205218882230044, + -1.5345365904238362, + -1.6518786426624406, + -1.7703802840839158, + -1.8878178808112982, + -2.0019600337401595, + -2.1106159529362705, + -2.211682974828029, + -2.303192118210165, + -2.383350621473382, + -2.4505804753199154, + -2.5035520607665385, + -2.5412121191462393, + -2.562805416244968, + -2.5678896133466864, + -2.556343020133656, + -2.5283650741444026, + -2.4844695646912633, + -2.4254707915637232, + -2.3524630162972917, + -2.2667937222002985, + -2.1700313448591952, + -2.0639282639638425, + -1.9503799568920352, + -1.831381301934416, + -1.7089810822433447, + -1.5852357790656715, + -1.4621637537189294, + -1.3417009018969919, + -1.2256588217074764, + -1.11568646945858, + -1.0132361863550243, + -0.9195348672353162, + -0.8355609121045857, + -0.7620274557563388, + -0.6993722138651756, + -0.6477541194773269, + -0.6070567559128882, + -0.576898424883292, + -0.5566485262554624, + -0.5454497723646632, + -0.542245618868532, + -0.5458121692998765, + -0.5547937047631816, + -0.5677409061948464, + -0.5831507762899829, + -0.5995072330146393, + -0.6153213373672377, + -0.62917013487492, + -0.6397331327058816, + -0.6458255011068904, + -0.6464271773869463, + -0.6407071605503335, + -0.6280424121172191, + -0.6080309204039608, + -0.5804986379636305, + -0.5455001611416971, + -0.5033131827495583, + -0.4544269096024265, + -0.3995247920488105, + -0.33946205871755847, + -0.27523868284359365, + -0.20796852335356691, + -0.1388454814596546, + -0.06910758937254394, + -6.370996208495486e-16 + ], + [ + 0, + 0.06579294360227668, + 0.12814069337503048, + 0.18606719804808597, + 0.23874286154378901, + 0.28550988846069225, + 0.3259028823722226, + 0.3596641304588447, + 0.38675314587664983, + 0.4073501883393053, + 0.42185363988067104, + 0.43087127270952574, + 0.43520560541293374, + 0.4358336984694333, + 0.4338818861686195, + 0.4305960758822677, + 0.4273083637806991, + 0.4254008155136853, + 0.4262673385210928, + 0.4312746274786731, + 0.44172319447475594, + 0.4588095000288747, + 0.4835901798180443, + 0.5169493154309109, + 0.5595696267191164, + 0.6119083700623239, + 0.6741786133782355, + 0.7463364277721849, + 0.828074390555111, + 0.9188216385491507, + 1.017750548005025, + 1.1237899521118788, + 1.2356446431019745, + 1.3518207474296877, + 1.4706564133997069, + 1.590357114671596, + 1.7090347536970063, + 1.8247496493680833, + 1.9355544155086557, + 2.039538683317417, + 2.1348735928768376, + 2.219854977144899, + 2.292944186573641, + 2.3528055531200587, + 2.398339567762067, + 2.428710943923615, + 2.443370858097746, + 2.442072795572082, + 2.4248815802034063, + 2.392175328992054, + 2.344640240836939, + 2.2832583001991096, + 2.209288146283734, + 2.124239522615839, + 2.029841876515271, + 1.9280078191843741, + 1.820792281445958, + 1.7103483045591379, + 1.5988804874310574, + 1.4885971689191289, + 1.3816624553647874, + 1.2801492082348689, + 1.1859940846429309, + 1.1009556751093925, + 1.026576709370582, + 0.9641512041506589, + 0.914697308928344, + 0.8789364697348784, + 0.8572793802274763, + 0.8498190273699204, + 0.8563309699661584, + 0.8762808161537641, + 0.9088386949636207, + 0.9529003513502357, + 1.007114337720095, + 1.06991463172648, + 1.1395578834258095, + 1.2141643878585526, + 1.29176179429733, + 1.3703305028169241, + 1.4478496639083782, + 1.5223426883728213, + 1.59192119282834, + 1.6548263503310494, + 1.7094666846926936, + 1.7544514393060477, + 1.7886187643316125, + 1.8110580971133834, + 1.8211262563985764, + 1.81845692770091, + 1.802963381070039, + 1.7748344295418783, + 1.734523802510991, + 1.6827332690859642, + 1.620389998198666, + 1.548618781109678, + 1.4687098645835654, + 1.382083246408572, + 1.2902503666000114, + 1.1947741855953453, + 1.0972286736565833, + 0.9991587428035149, + 0.9020416338162125, + 0.8072507267195048, + 0.7160226748795391, + 0.6294286721883736, + 0.5483505521270182, + 0.4734622896180534, + 0.40521733476821054, + 0.3438420554648148, + 0.28933540718616735, + 0.24147478732936095, + 0.19982787191951001, + 0.16377007876591734, + 0.13250715684986714, + 0.10510227059855938, + 0.08050683301865005, + 0.05759424631216011, + 0.03519563496989751, + 0.012136606276842921, + -0.012725952080302739, + -0.040468027417149284, + -0.07206455496188142, + -0.10835832238195214, + -0.15003254616928002, + -0.1975878646476726, + -0.2513243776958659, + -0.311329232319743, + -0.3774701092721881, + -0.44939481265111086, + -0.5265370056857899, + -0.6081279757689427, + -0.6932141542666869, + -0.7806799657386894, + -0.8692754407611102, + -0.9576479001426015, + -1.0443769091863044, + -1.1280116115775827, + -1.20710948576657, + -1.2802755241070791, + -1.3462008176474698, + -1.4036995378517332, + -1.4517433405223952, + -1.4894922760211768, + -1.5163213721350646, + -1.531842159622031, + -1.5359185330589533, + -1.5286764780934552, + -1.5105073471570207, + -1.4820645253951739, + -1.4442534930522886, + -1.3982154557249784, + -1.3453048756550294, + -1.2870613915305364, + -1.22517675724036, + -1.161457558090917, + -1.0977845729180196, + -1.0360697395240437, + -0.9782117466692761, + -0.9260513167423234, + -0.8813272581375607, + -0.8456343548278019, + -0.8203841228401806, + -0.806769400174325, + -0.8057336496239046, + -0.8179457450479555, + -0.8437808835016919, + -0.8833081213707319, + -0.9362848757530235, + -1.002158566611355, + -1.0800754047107712, + -1.1688961592183351, + -1.2672185712565212, + -1.3734059197645911, + -1.4856210976486857, + -1.60186542302726, + -1.7200212956697079, + -1.8378977152988012, + -1.953277608579711, + -2.063965867069374, + -2.167836980253294, + -2.2628811565069036, + -2.3472478601852873, + -2.419285754212707, + -2.4775781230273735, + -2.5209729584553475, + -2.54860701841557, + -2.5599233121918945, + -2.554681622839699, + -2.532961843301308, + -2.4951600739394406, + -2.441977601292899, + -2.3744030467246766, + -2.2936881351639813, + -2.201317684418225, + -2.098974550907598, + -1.9885003848815828, + -1.8718531443919049, + -1.7510623902176485, + -1.6281834318380075, + -1.505251416317003, + -1.3842364471356927, + -1.267000788770631, + -1.155259156009966, + -1.05054300608665, + -0.9541696487483565, + -0.8672168669718364, + -0.7905036022351456, + -0.7245771065527715, + -0.6697068026351669, + -0.6258849275520546, + -0.5928338682729986, + -0.5700199335598981, + -0.556673149938805, + -0.5518125237405682, + -0.5542760800476436, + -0.5627548760236657, + -0.5758300932896955, + -0.5920122439860933, + -0.6097814795891497, + -0.6276279714921191, + -0.6440913382281652, + -0.6577981257775763, + -0.6674964037926944, + -0.6720866203016904, + -0.6706479584479, + -0.6624595584870174, + -0.6470161035412176, + -0.6240374150518557, + -0.593471859737196, + -0.5554935301998352, + -0.510493322084902, + -0.4590641878055758, + -0.4019809963637855, + -0.34017556693492174, + -0.27470756717925715, + -0.20673207258993087, + -0.1374646679426474, + -0.06814503395082099, + -6.256987676951096e-16 + ], + [ + 0, + 0.064160430353985, + 0.12446102728857157, + 0.180005233383312, + 0.23005581053202764, + 0.2740574408039523, + 0.31165428383462684, + 0.34270200531206324, + 0.3672739347883709, + 0.3856611636793367, + 0.3983665520487103, + 0.4060927716133755, + 0.40972466832230353, + 0.41030637689824523, + 0.40901375809768076, + 0.40712285361698697, + 0.40597516037906434, + 0.40694061263533077, + 0.4113792246747918, + 0.4206023872646787, + 0.4358348261761996, + 0.45817822082284504, + 0.48857744534619185, + 0.5277903342503981, + 0.5763617913530933, + 0.6346029564101033, + 0.7025760208387813, + 0.7800851455327377, + 0.8666737832462884, + 0.9616285491560949, + 1.0639896199231262, + 1.1725674779421305, + 1.2859656575581069, + 1.4026089978461789, + 1.520776765906327, + 1.63863988905274, + 1.7543014269483674, + 1.865839328371874, + 1.971350454116313, + 2.0689948091466124, + 2.157038914615679, + 2.2338972640484993, + 2.2981708476939766, + 2.348681793816983, + 2.384503264038134, + 2.404983849622438, + 2.4097658442323344, + 2.3987969129901914, + 2.3723348342412103, + 2.3309451553650544, + 2.2754917733350144, + 2.207120620335271, + 2.127236800474842, + 2.037475681427096, + 1.9396685908107378, + 1.8358038977331796, + 1.7279843719336903, + 1.6183818036389206, + 1.5091899343450996, + 1.4025767906128925, + 1.3006375285642808, + 1.2053488857086985, + 1.1185262992556482, + 1.041784687095682, + 0.976503800679151, + 0.9237989502070925, + 0.8844977745207991, + 0.8591235839554848, + 0.8478856477212956, + 0.8506766319108013, + 0.8670772240370328, + 0.8963678092248725, + 0.9375468959666319, + 0.989355829774677, + 1.050309184993537, + 1.1187300920584795, + 1.1927896428199911, + 1.2705494229542564, + 1.350006150187273, + 1.4291373517395285, + 1.5059469950963116, + 1.578509993334151, + 1.6450145395426585, + 1.7038012834873715, + 1.753398446055548, + 1.7925520711231568, + 1.8202507376572923, + 1.8357441940379735, + 1.8385555282738784, + 1.8284866482222437, + 1.8056170111214487, + 1.7702957076136343, + 1.7231271678749631, + 1.6649509124776962, + 1.5968159143693237, + 1.5199502673454104, + 1.435726967464715, + 1.3456267043101058, + 1.2511986266576556, + 1.1540200903717115, + 1.0556564141995806, + 0.95762166123401, + 0.8613414304263433, + 0.7681185845846078, + 0.6791027603059829, + 0.5952644033726502, + 0.5173739529024612, + 0.4459866620639559, + 0.3814333958871419, + 0.3238175913647184, + 0.2730184055767777, + 0.22869991801574585, + 0.190326097664595, + 0.15718109761263516, + 0.1283943037997123, + 0.10296944328607176, + 0.07981695429563072, + 0.05778873776186371, + 0.035714350283858526, + 0.012437662768208412, + -0.013147001526754475, + -0.04206022106319576, + -0.07520525402975317, + -0.11333910847513012, + -0.1570476868357197, + -0.2067256810718945, + -0.2625617711386599, + -0.32452954171759096, + -0.3923843835174359, + -0.4656664897738327, + -0.5437098997880189, + -0.6256573834649858, + -0.7104808078488614, + -0.7970064824929621, + -0.883944848812094, + -0.9699237627044089, + -1.0535245226642396, + -1.1333197198328593, + -1.207911933916307, + -1.2759722710226065, + -1.3362777370030645, + -1.3877464629556908, + -1.4294698476544934, + -1.4607407536700359, + -1.4810769881062784, + -1.4902394129008443, + -1.4882441607229866, + -1.475368577425783, + -1.4521506671836713, + -1.419381978027254, + -1.378094029459178, + -1.3295385461143652, + -1.2751619179641616, + -1.2165744544400683, + -1.1555151333826055, + -1.0938126625418336, + -1.0333437685127456, + -0.9759897030067272, + -0.9235920073087269, + -0.8779086013091509, + -0.8405712629178604, + -0.8130455368956861, + -0.7965940597562248, + -0.7922442106099241, + -0.8007608984611378, + -0.8226251769049124, + -0.8580192402842929, + -0.9068182044734013, + -0.9685889142093911, + -1.0425958512314302, + -1.1278140474848217, + -1.2229487394644045, + -1.3264613375155812, + -1.4366011315562648, + -1.5514420159614486, + -1.6689233946680953, + -1.786894325899926, + -1.9031598867799084, + -2.015528683443006, + -2.1218604034349062, + -2.2201123049039047, + -2.308383561432769, + -2.384956431733535, + -2.4483332986214723, + -2.4972687198684627, + -2.530795752320189, + -2.548245947153382, + -2.549262565022108, + -2.5338067214189164, + -2.50215634092037, + -2.454897969996629, + -2.3929116675782836, + -2.3173493564677883, + -2.229607172976345, + -2.131292493117731, + -2.0241864378878347, + -1.9102027646067918, + -1.791344133492413, + -1.6696567966109448, + -1.5471847887548478, + -1.425924705896393, + -1.3077821365785665, + -1.1945307654975528, + -1.0877750978045737, + -0.9889176591135028, + -0.8991314122066287, + -0.8193379998471807, + -0.7501922772223942, + -0.6920734409911976, + -0.6450828985873628, + -0.6090488553814773, + -0.5835374326424515, + -0.5678699700254309, + -0.5611460164692375, + -0.5622713765916176, + -0.5699904592723293, + -0.5829220740449657, + -0.5995977416242977, + -0.6185015292757778, + -0.6381103910933871, + -0.6569339882724112, + -0.673552985184592, + -0.6866548628840817, + -0.6950663613675071, + -0.6977817536607889, + -0.6939862662421967, + -0.6830740885805179, + -0.664660556399029, + -0.6385882450651743, + -0.6049268674055605, + -0.5639670302610498, + -0.5162080621861315, + -0.46234027687317586, + -0.40322217931209586, + -0.33985325079588097, + -0.273343061407775, + -0.20487755175219935, + -0.1356833970851833, + -0.0669914148761949, + -6.126331205960263e-16 + ], + [ + 0, + 0.062378607465131485, + 0.12052216311888517, + 0.17361993500512274, + 0.22103180027299058, + 0.26230794636251104, + 0.29720328062885193, + 0.3256861470223724, + 0.3479410965533025, + 0.36436561308263793, + 0.37556085357134433, + 0.382316618292487, + 0.38559091769706044, + 0.3864846447827274, + 0.386211991327286, + 0.3860673599115156, + 0.3873896183621991, + 0.391524616659068, + 0.399786936564186, + 0.4134218699239363, + 0.4335686220509684, + 0.46122571173698346, + 0.497219489832792, + 0.5421766251370361, + 0.5965013113298505, + 0.6603578341927298, + 0.7336590071835883, + 0.8160608388221164, + 0.9069636408635318, + 1.005519625731383, + 1.1106468791338646, + 1.2210494332547002, + 1.3352430113996576, + 1.4515858703629756, + 1.5683140356871477, + 1.6835801107290966, + 1.7954947459102877, + 1.9021697821287764, + 2.001762033915358, + 2.0925166548008063, + 2.172809030180356, + 2.241184171728428, + 2.296392641502925, + 2.3374221120289307, + 2.3635237690142903, + 2.374232883520791, + 2.3693830174973414, + 2.3491134772571853, + 2.313869790089841, + 2.264397145830418, + 2.201726913799171, + 2.127156511954226, + 2.042223065298099, + 1.9486714406205488, + 1.8484173808662576, + 1.7435065814421884, + 1.636070649699601, + 1.5282809652038292, + 1.422301510355712, + 1.3202417671635074, + 1.2241107758249978, + 1.135773424252004, + 1.0569099853876007, + 0.9889798423927926, + 0.9331902423780775, + 0.8904707997433342, + 0.8614543332787107, + 0.8464644703042808, + 0.845510289962564, + 0.8582881102513716, + 0.8841903535739856, + 0.922321257622182, + 0.9715190363790553, + 1.0303839438683204, + 1.0973115546743177, + 1.1705304535657313, + 1.2481434247107006, + 1.3281711514161958, + 1.408597381953761, + 1.487414487145601, + 1.5626683316484735, + 1.6325014033154719, + 1.6951931930195951, + 1.7491968896440535, + 1.7931715497417062, + 1.826009016249505, + 1.8468549927329954, + 1.855123825631746, + 1.8505067032447162, + 1.832973142853866, + 1.8027658024051598, + 1.7603888164688364, + 1.7065900137576866, + 1.64233752141666, + 1.5687913959800899, + 1.4872710390319783, + 1.3992192543255662, + 1.3061638800353383, + 1.2096779830893223, + 1.1113396309155723, + 1.012692258810354, + 0.9152066285091771, + 0.820245326063925, + 0.7290306760668556, + 0.6426168564676443, + 0.5618668860955446, + 0.48743502839525066, + 0.41975501308984203, + 0.35903432609852987, + 0.3052546608960404, + 0.25817846557776086, + 0.21736136320144125, + 0.1821700724620712, + 0.1518053152102943, + 0.1253290702800453, + 0.10169542273789482, + 0.07978416677192707, + 0.05843625127644831, + 0.03649011148649629, + 0.01281790890710789, + -0.013639294219125712, + -0.04383837067480583, + -0.07860386579998696, + -0.11860145222052257, + -0.16431582013792545, + -0.2160336059991555, + -0.2738318312605834, + -0.33757217962067365, + -0.40690128915183127, + -0.4812570790630297, + -0.5598809733434021, + -0.6418357292673331, + -0.7260284316010512, + -0.8112380770807511, + -0.8961470518046899, + -0.9793756997119766, + -1.0595190959887602, + -1.1351850772261542, + -1.205032542073441, + -1.2678090230062937, + -1.322386542059638, + -1.3677948007194496, + -1.4032508157578925, + -1.4281841971536104, + -1.4422573693116971, + -1.4453801600117098, + -1.437718319833503, + -1.419695684821959, + -1.3919898531355908, + -1.3555214084564606, + -1.3114368849853861, + -1.2610858268634508, + -1.2059924448958357, + -1.147822511744028, + -1.0883462598179208, + -1.0293981508309313, + -0.9728344697181307, + -0.9204897562131078, + -0.874133123256814, + -0.8354255216019012, + -0.8058789941453941, + -0.7868189219782018, + -0.7793501978271853, + -0.7843281730423662, + -0.8023351136828328, + -0.8336627722383307, + -0.8783015372069067, + -0.9359364666322689, + -1.0059503475841716, + -1.0874337554409559, + -1.1792019188097045, + -1.2798180321042842, + -1.387622502204918, + -1.5007674720590276, + -1.617255836073665, + -1.7349838528408161, + -1.8517863728171475, + -1.9654836342168573, + -2.073928541161844, + -2.175053325044109, + -2.266914503428345, + -2.34773509034719, + -2.4159430765665033, + -2.4702052867549145, + -2.5094558303341974, + -2.5329184914411575, + -2.540122547765604, + -2.5309116645263474, + -2.505445674695675, + -2.4641952257677358, + -2.4079294427689355, + -2.3376969227077624, + -2.254800533235401, + -2.160766634112882, + -2.0573094706228923, + -1.9462916001711077, + -1.82968130429516, + -1.7095080059633843, + -1.5878167547989128, + -1.4666228597217517, + -1.3478677391118723, + -1.2333770232569654, + -1.124821883492983, + -1.0236844786213883, + -0.9312283040163584, + -0.848474104961233, + -0.7761818762765681, + -0.7148393186987596, + -0.6646569625083331, + -0.6255700045584848, + -0.5972467401840231, + -0.5791033105454977, + -0.5703243327467205, + -0.5698888383211687, + -0.5766008188849517, + -0.5891235689943636, + -0.6060169281624359, + -0.6257764586999769, + -0.6468735550992276, + -0.6677954650104861, + -0.6870842117805631, + -0.7033734436945754, + -0.7154222945292367, + -0.7221454222212583, + -0.7226384952496779, + -0.716198517086206, + -0.7023385146991824, + -0.6807962641546966, + -0.6515368811121117, + -0.6147492625448419, + -0.5708365243253974, + -0.5204007334036059, + -0.46422237929721716, + -0.40323516383192415, + -0.33849680714103914, + -0.2711566688757499, + -0.20242106385631928, + -0.1335172090062157, + -0.06565677192051629, + -5.98015746042169e-16 + ], + [ + 0, + 0.060462667222213204, + 0.11635734816261238, + 0.16696459563095348, + 0.21174520650157475, + 0.2503568968710826, + 0.2826654873316012, + 0.30875028322224085, + 0.3289034859256346, + 0.3436236268915362, + 0.3536031721498256, + 0.35971059766074953, + 0.3629673810655385, + 0.3645204895524387, + 0.3656110632231732, + 0.36754009547485134, + 0.371631993881858, + 0.3791969647541121, + 0.3914932004020829, + 0.40968985919137263, + 0.4348318143780277, + 0.46780710876812603, + 0.5093179893535955, + 0.5598563107548005, + 0.6196839906281388, + 0.6888190767664873, + 0.7670278474742632, + 0.8538232173540314, + 0.9484695636044854, + 1.0499939272048033, + 1.1572033829524941, + 1.268708216237644, + 1.3829503965829752, + 1.4982367020684078, + 1.6127757282136466, + 1.7247179127617536, + 1.8321976266892144, + 1.9333763237463986, + 2.026485707421666, + 2.109869866330271, + 2.1820253469347026, + 2.241638175845896, + 2.28761691174603, + 2.3191208976176756, + 2.335582995297809, + 2.336726213720892, + 2.3225737864456257, + 2.2934524096754663, + 2.249988515197364, + 2.193097619496617, + 2.123966956683427, + 2.044031764718444, + 1.9549457477858532, + 1.858546378771981, + 1.7568158311997741, + 1.6518384365614984, + 1.5457556481578043, + 1.440719554189045, + 1.3388460194259497, + 1.2421685453977809, + 1.1525939233972764, + 1.0718607130772166, + 1.0015015130011329, + 0.9428098998177469, + 0.8968128019333085, + 0.8642489443515775, + 0.8455538568832217, + 0.8408517817116893, + 0.8499546521457526, + 0.8723681462863097, + 0.9073046513780875, + 0.9537028108904613, + 1.0102531708540434, + 1.0754292984444604, + 1.1475236177286252, + 1.2246870979650621, + 1.304971841514386, + 1.3863755533805757, + 1.46688683420642, + 1.5445302241131011, + 1.6174099363961383, + 1.6837512574193612, + 1.7419386511045782, + 1.7905496916117642, + 1.828384053988972, + 1.8544869170786071, + 1.8681662726846886, + 1.8690037864550026, + 1.856859015350132, + 1.8318669500074474, + 1.794429013721222, + 1.7451978091177256, + 1.6850560549844713, + 1.6150902953992206, + 1.5365600878791406, + 1.450863483698133, + 1.3594996992225088, + 1.2640299400341344, + 1.1660373782591311, + 1.0670872970188472, + 0.9686884040165854, + 0.8722562793489433, + 0.7790798616891734, + 0.690291793632213, + 0.6068433433741395, + 0.529484498681804, + 0.45874969338449195, + 0.3949494798394017, + 0.3381683067073737, + 0.2882684038227784, + 0.24489961892951623, + 0.20751489854161567, + 0.1753909610108523, + 0.14765357766968557, + 0.12330676098462921, + 0.10126505993413362, + 0.0803880847863042, + 0.05951632804261836, + 0.03750731691071473, + 0.013271126043317403, + -0.014195702421801105, + -0.04577874174517634, + -0.08221761052966427, + -0.1240820061135073, + -0.1717524906200974, + -0.2254065549792318, + -0.2850103487709208, + -0.3503163161921553, + -0.42086682454910257, + -0.49600371533303245, + -0.5748835531135286, + -0.6564981981070176, + -0.7397001881485663, + -0.8232322884775685, + -0.905760456491427, + -0.9859093762744444, + -1.0622996466476509, + -1.1335856585541952, + -1.1984931740599807, + -1.2558556207656724, + -1.3046481420215146, + -1.344018494408728, + -1.373313958283638, + -1.3921035229713772, + -1.4001947231014844, + -1.3976446337720705, + -1.3847646764723298, + -1.3621190414125464, + -1.3305166912888535, + -1.2909970725797957, + -1.244809819215377, + -1.1933888859069115, + -1.1383216907568399, + -1.0813139754023515, + -1.0241512026399346, + -0.9686574033963724, + -0.9166524547077878, + -0.8699088162372544, + -0.830108773588016, + -0.7988032316581398, + -0.777373070574298, + -0.7669940210137199, + -0.7686059362703087, + -0.782887237128778, + -0.810235184907133, + -0.8507525008243697, + -0.9042406994705477, + -0.9702003442545474, + -1.0478382671758768, + -1.1360816281506811, + -1.2335985245035082, + -1.338824703145734, + -1.449995780272929, + -1.5651842397523865, + -1.6823403650218811, + -1.7993361631458482, + -1.9140112660462782, + -2.0242197446633576, + -2.127876748130875, + -2.2230038825711014, + -2.3077722727820875, + -2.380542304222776, + -2.4398991209926537, + -2.4846830560533197, + -2.5140142903067964, + -2.527311174400676, + -2.5243017979319857, + -2.5050285513980994, + -2.469845592881343, + -2.4194092999978594, + -2.3546619539900613, + -2.2768090629515076, + -2.1872908811553424, + -2.087748817676559, + -1.9799875466585757, + -1.865933730803138, + -1.7475923465779837, + -1.6270016524083422, + -1.5061878685109953, + -1.38712063843212, + -1.2716703177918545, + -1.161568085884979, + -1.0583698019266679, + -0.9634244317395608, + -0.877847754970364, + -0.8025019303982567, + -0.7379813508597083, + -0.6846050633968725, + -0.6424158683084139, + -0.611186046850772, + -0.5904295054535651, + -0.5794199684647685, + -0.5772147054605579, + -0.5826831466194474, + -0.5945396238071667, + -0.6113793786632944, + -0.6317169044480544, + -0.6540256374755946, + -0.6767779878157313, + -0.6984846981569632, + -0.717732544224987, + -0.7332194392479703, + -0.7437860773458319, + -0.7484433445110041, + -0.7463948386265342, + -0.7370539688493584, + -0.7200552463890119, + -0.6952595296386529, + -0.6627531429440208, + -0.6228409460767764, + -0.5760335867313089, + -0.5230293171776459, + -0.4646908948345669, + -0.40201821149325084, + -0.33611740408827867, + -0.26816728857028893, + -0.1993840253673611, + -0.1309849684632729, + -0.06415266919313634, + -5.819723779827008e-16 + ], + [ + 0, + 0.058428810442321254, + 0.11200140557425901, + 0.1600941693343753, + 0.20227164620756308, + 0.2383000935328369, + 0.26815539644953923, + 0.2920251179632413, + 0.3103046095463392, + 0.3235872627409183, + 0.3326491354692332, + 0.33842833428959135, + 0.3419996719124928, + 0.344545244398244, + 0.34732168140046427, + 0.3516249128106142, + 0.358753363880817, + 0.3699705365715657, + 0.3864679562798775, + 0.40932945965235396, + 0.43949777089992975, + 0.4777442615538166, + 0.5246427131901678, + 0.580547806136584, + 0.6455789419212483, + 0.7196098760737746, + 0.8022644940778434, + 0.8929189103750464, + 0.9907099121274118, + 1.0945496099038197, + 1.203146000546303, + 1.3150289971228628, + 1.428581340856115, + 1.5420736837554785, + 1.6537030215618798, + 1.761633567308566, + 1.8640390885947393, + 1.9591456883017786, + 2.0452739901091532, + 2.120879697326121, + 2.1845915261523063, + 2.235245571791825, + 2.271915246535747, + 2.293936031079809, + 2.300924401507945, + 2.292790431623177, + 2.269743720318927, + 2.232292452808809, + 2.181235568893237, + 2.1176481770234528, + 2.042860515677598, + 1.9584309195031961, + 1.8661133929803433, + 1.7678205254524564, + 1.6655825950314112, + 1.561503802312232, + 1.457716645721818, + 1.3563354969207886, + 1.2594104558152566, + 1.168882559876865, + 1.0865413917128715, + 1.013986072904315, + 0.9525905523886931, + 0.9034739960352673, + 0.8674769630144618, + 0.8451439170410218, + 0.8367124699200887, + 0.842109594713158, + 0.8609548801645187, + 0.89257073082026, + 0.9359992525985915, + 0.990025405434682, + 1.0532058568648925, + 1.1239028366160713, + 1.2003221756618472, + 1.2805546166110875, + 1.362619408021416, + 1.444509145050396, + 1.5242347939417582, + 1.5998698387467118, + 1.6695925153167928, + 1.7317251492611125, + 1.7847696899075143, + 1.8274386294357359, + 1.858680612819616, + 1.8777001771118234, + 1.8839712046170487, + 1.8772438299994878, + 1.8575447025034897, + 1.825170667246634, + 1.7806760899550134, + 1.7248542036010523, + 1.6587129993900631, + 1.5834463148968665, + 1.5004008856978024, + 1.4110402208201644, + 1.3169062344759312, + 1.2195796151425202, + 1.120639936972131, + 1.0216265172409407, + 0.9240009972065428, + 0.8291125730665884, + 0.7381667300490314, + 0.652198237930621, + 0.572049052912638, + 0.49835164168028534, + 0.4315181019198477, + 0.37173530315731884, + 0.31896611631964444, + 0.27295664383106183, + 0.23324920829017892, + 0.19920071069881945, + 0.17000583252839882, + 0.14472443304451713, + 0.12231238734491802, + 0.10165502415078252, + 0.0816022576831182, + 0.06100446656301121, + 0.03874815561717221, + 0.013790444155503331, + -0.014808543500845987, + -0.047856253558011694, + -0.08600203450477903, + -0.12971591679653124, + -0.17927241597075963, + -0.23473980366718875, + -0.29597514849745626, + -0.36262527829661473, + -0.43413366080516386, + -0.5097530451938852, + -0.5885635559790374, + -0.6694957876146003, + -0.751358316035495, + -0.8328689260254974, + -0.9126887534962012, + -0.9894584621497122, + -1.0618355166143718, + -1.128531580490444, + -1.1883490587278773, + -1.2402158196699855, + -1.2832171725991393, + -1.316624240759374, + -1.3399179560578518, + -1.3528080078576261, + -1.3552462018583433, + -1.3474338229697604, + -1.3298227449007585, + -1.3031101852194393, + -1.2682271640049116, + -1.226320882934443, + -1.178731395762826, + -1.1269630867928164, + -1.0726516074468224, + -1.017527039064934, + -0.9633741495844643, + -0.9119906902656575, + -0.8651447340976252, + -0.8245320884951904, + -0.7917348205327605, + -0.7681819130324595, + -0.7551130247410499, + -0.7535462586256078, + -0.7642507506232992, + -0.7877247791859115, + -0.8241799663606794, + -0.873531997080453, + -0.9353981282962508, + -1.0091015973477433, + -1.0936828734903652, + -1.187917531825704, + -1.2903403690452173, + -1.399275229313995, + -1.512869869999096, + -1.6291350741935475, + -1.7459871131226872, + -1.861292579106511, + -1.972914550827231, + -2.0787590186790736, + -2.176820489810648, + -2.265225710330617, + -2.3422744856189666, + -2.406476647725555, + -2.4565843097996263, + -2.49161865917191, + -2.510890670391084, + -2.514015264043433, + -2.5009185930417646, + -2.471838301462577, + -2.427316767962212, + -2.3681875122511156, + -2.2955551050030047, + -2.2107690749893014, + -2.1153924484368973, + -2.011165681189296, + -1.8999668511741574, + -1.7837690643719917, + -1.6645960898924597, + -1.5444772774216335, + -1.4254028223397166, + -1.3092804299900862, + -1.1978943913063165, + -1.0928680182997117, + -0.9956303013997346, + -0.9073875435054638, + -0.8291006005334044, + -0.7614682183571473, + -0.7049168048092503, + -0.6595968166074283, + -0.6253857786084948, + -0.6018977906984883, + -0.5884992198916575, + -0.5843301257144071, + -0.5883308293591814, + -0.5992729147715772, + -0.6157938457588272, + -0.6364342998976247, + -0.6596772594706838, + -0.6839878633017192, + -0.7078530120098455, + -0.7298197330651875, + -0.7485313506682661, + -0.7627605678497009, + -0.771438652658885, + -0.7736800246964068, + -0.7688016598688165, + -0.7563368670040373, + -0.7360431364117742, + -0.7079039138958437, + -0.6721243102454669, + -0.6291209119016798, + -0.5795060093911766, + -0.5240667024476275, + -0.4637394709247687, + -0.39958091538083335, + -0.33273546770632917, + -0.2644009479654489, + -0.1957928968371787, + -0.1281086423570616, + -0.06249206435874819, + -5.646400386019649e-16 + ], + [ + 0, + 0.05629407505042242, + 0.10749037259707217, + 0.15306471001393465, + 0.1926872168718897, + 0.22623269763268072, + 0.2537852609273413, + 0.2756370760690787, + 0.292281270755838, + 0.30439913706867966, + 0.312841961981156, + 0.3186079398737614, + 0.3228147544020595, + 0.32666853218749015, + 0.33142996824382837, + 0.33837850031901845, + 0.34877546442526386, + 0.3638271953084579, + 0.38464904262128763, + 0.41223125587613024, + 0.44740764924751797, + 0.49082789196387056, + 0.5429341829556437, + 0.6039429617413343, + 0.6738321838587634, + 0.7523345515423125, + 0.8389369422176641, + 0.9328861224150021, + 1.0332006767491875, + 1.1386889246238314, + 1.2479724452129024, + 1.3595146878729945, + 1.4716540140479488, + 1.58264040125325, + 1.6906749427978114, + 1.7939512009881653, + 1.8906974186213898, + 1.9792185649989893, + 2.0579371892740763, + 2.1254320758464784, + 2.180473743286212, + 2.222055898819929, + 2.2494220530920934, + 2.262086612496952, + 2.2598498961571662, + 2.242806668458887, + 2.211347932447039, + 2.1661558905782123, + 2.1081921433869093, + 2.0386793595324915, + 1.9590768084684913, + 1.8710502957439394, + 1.7764371770531402, + 1.67720724724911, + 1.575420401666608, + 1.4731820467674115, + 1.3725972933495718, + 1.2757249969540803, + 1.1845327158642407, + 1.1008536370598223, + 1.0263464751272953, + 0.9624592795257106, + 0.9103979934473954, + 0.8711004950271795, + 0.8452167215758075, + 0.8330953330051907, + 0.8347772151910725, + 0.8499959614646466, + 0.8781853046943076, + 0.9184933075436224, + 0.9698029584803229, + 1.0307586698503584, + 1.099798035490383, + 1.1751880822935223, + 1.2550651458389928, + 1.3374774171554251, + 1.4204291478954945, + 1.5019254660682788, + 1.5800167448104492, + 1.65284148265797, + 1.7186666949545097, + 1.7759248813332866, + 1.8232467219744906, + 1.8594887633616313, + 1.8837554798329352, + 1.895415237217367, + 1.8941098357792454, + 1.879757467827954, + 1.8525490867680803, + 1.8129383450852123, + 1.7616254148247565, + 1.699535151690401, + 1.627790199348866, + 1.5476797505699416, + 1.460624783536537, + 1.3681406725710061, + 1.2717981307052078, + 1.1731834756053952, + 1.0738592195838856, + 0.9753259686419722, + 0.8789865751705126, + 0.7861134251730894, + 0.6978196553409711, + 0.6150349902084206, + 0.5384867676433163, + 0.46868658519095036, + 0.4059228537341219, + 0.35025939225890174, + 0.30154004207946816, + 0.25939912459658404, + 0.2232774174266563, + 0.19244318329287755, + 0.16601765794186926, + 0.14300429074925544, + 0.12232093742231583, + 0.10283413064940936, + 0.08339450351357573, + 0.06287241324236517, + 0.04019281006885856, + 0.014368417675341236, + -0.015469662690158698, + -0.05004474396676571, + -0.08991147107533805, + -0.13543748682915635, + -0.1867903439559928, + -0.24393002431553493, + -0.30660728012556177, + -0.37436786009012024, + -0.4465625296066584, + -0.522362642617146, + -0.6007808770108383, + -0.6806966094862006, + -0.7608852828996245, + -0.840051012504775, + -0.9168615898488306, + -0.9899849766962927, + -1.0581263379216743, + -1.120064642998706, + -1.1746878710606672, + -1.2210258844405169, + -1.2582800894297477, + -1.2858490794295638, + -1.3033495528459291, + -1.3106319136170221, + -1.3077900933083753, + -1.2951652770246007, + -1.273343367410388, + -1.2431461779654243, + -1.2056165048643912, + -1.1619973815074165, + -1.1137059682446602, + -1.0623026673993892, + -1.0094561773887727, + -0.9569053062833777, + -0.906418451846246, + -0.8597517197287924, + -0.8186066923946993, + -0.7845888774007211, + -0.7591678544045466, + -0.7436401058399662, + -0.7390954573683746, + -0.7463879723568042, + -0.7661120416932558, + -0.7985842887011905, + -0.843831771692251, + -0.9015868171274299, + -0.9712886580807025, + -1.0520918895748013, + -1.1428815883721244, + -1.2422947839680136, + -1.3487478137907885, + -1.4604689527366472, + -1.5755355786692882, + -1.6919150245578867, + -1.8075081772480552, + -1.9201948147016166, + -2.027879629593718, + -2.1285378685196754, + -2.220259523219258, + -2.3012910430215068, + -2.3700735953691043, + -2.425276982408959, + -2.4658284242712054, + -2.4909355413114276, + -2.500103005304212, + -2.493142480000008, + -2.4701756309320424, + -2.431630149004515, + -2.3782288982015856, + -2.3109724606963535, + -2.231115508750352, + -2.1401375782869034, + -2.0397089503698616, + -1.9316524608455599, + -1.8179021523611771, + -1.7004597546032316, + -1.5813500262016282, + -1.4625760142055684, + -1.346075283863324, + -1.2336781427659094, + -1.127068830006304, + -1.0277505642306253, + -0.9370152462564092, + -0.855918494770511, + -0.7852605604216283, + -0.7255735177054243, + -0.6771149790270239, + -0.6398684150545582, + -0.6135500039098721, + -0.5976217728627845, + -0.5913106439121906, + -0.5936328526884882, + -0.6034230819701263, + -0.6193675398960213, + -0.6400401213715586, + -0.6639407214127129, + -0.6895347229069182, + -0.7152926595605191, + -0.7397290581072222, + -0.7614394920033936, + -0.7791349310495947, + -0.7916725462700702, + -0.7980822250084385, + -0.7975881650996, + -0.7896250462452172, + -0.7738484180651115, + -0.7501390941357725, + -0.7186014958708866, + -0.6795560454462722, + -0.6335258592096878, + -0.5812181383146418, + -0.5235007880272646, + -0.4613749178980985, + -0.39594397874300774, + -0.328380376547036, + -0.25989046589463805, + -0.1916788647893281, + -0.12491304779148078, + -0.06068916492045503, + -5.461655573554057e-16 + ], + [ + 0, + 0.05407615779269436, + 0.10286112993985799, + 0.14593280411698337, + 0.1830677382109212, + 0.21424829691739444, + 0.23966401036880502, + 0.25970710334430935, + 0.2749622959506647, + 0.2861911266108698, + 0.2943111919497662, + 0.30037083206668924, + 0.3055199103252934, + 0.31097744109090897, + 0.3179969041355718, + 0.32783014851477055, + 0.34169082993341016, + 0.3607183428697325, + 0.385943201523961, + 0.4182547921258659, + 0.4583723640061069, + 0.506820049437421, + 0.5639066044718761, + 0.6297104472423601, + 0.7040704393181955, + 0.7865827129486347, + 0.876603695940173, + 0.9732593302562764, + 1.07546032408552, + 1.1819231240065948, + 1.2911961478239908, + 1.4016906833278964, + 1.5117157370571008, + 1.619516013182335, + 1.7233121185254818, + 1.8213420276461703, + 1.9119028034780603, + 1.9933915552162589, + 2.064344626469219, + 2.123474042896021, + 2.169700308840012, + 2.202180725430443, + 2.2203325062803594, + 2.223850088770905, + 2.212716176034302, + 2.1872061938026057, + 2.147886003648921, + 2.0956028759725553, + 2.0314698884137625, + 1.9568440742516329, + 1.8732987968442973, + 1.7825909665923645, + 1.686623842790356, + 1.5874062709750434, + 1.4870092943114908, + 1.3875211430002954, + 1.2910016470149352, + 1.199437133649094, + 1.114696861947321, + 1.038492011313644, + 0.9723381822671912, + 0.9175222848694484, + 0.8750745867787978, + 0.8457465707062631, + 0.8299951132204177, + 0.8279733467297097, + 0.8395284077093508, + 0.8642061106993845, + 0.9012624232592216, + 0.9496814559177732, + 1.008199527123155, + 1.075334720010803, + 1.1494212189444264, + 1.2286476023567885, + 1.3110981771139965, + 1.3947963706371749, + 1.4777491519808195, + 1.5579914330379818, + 1.6336294064555867, + 1.7028818075093928, + 1.7641181422987682, + 1.815893002768922, + 1.8569756882803141, + 1.8863744712363084, + 1.9033549777111303, + 1.907452299773679, + 1.8984766106629596, + 1.8765122133160814, + 1.8419101130449875, + 1.7952743624534957, + 1.7374425771151005, + 1.6694611604052074, + 1.59255590178002, + 1.508098721652379, + 1.4175714251958833, + 1.3225273947701928, + 1.2245521946059426, + 1.1252240809059981, + 1.0260754052090364, + 0.9285558689376152, + 0.8339985333451176, + 0.7435894130024855, + 0.6583413845005485, + 0.5790730276644211, + 0.5063928872027704, + 0.4406895016354592, + 0.382127397132355, + 0.33064909032544576, + 0.28598299009903655, + 0.2476569376975756, + 0.2150169810047443, + 0.18725084614211399, + 0.16341545093604554, + 0.14246770327421746, + 0.12329774545181305, + 0.10476374533004719, + 0.08572729798796518, + 0.06508848845045946, + 0.04181967732369941, + 0.014997106453043012, + -0.016170519877631104, + -0.052317242659670124, + -0.0938995096333176, + -0.14118083871362824, + -0.1942219008231294, + -0.2528762980830361, + -0.3167921646373532, + -0.38541956530374055, + -0.45802351562071636, + -0.5337022995418096, + -0.6114106217573165, + -0.6899870039465155, + -0.768184721432126, + -0.8447054816085061, + -0.9182349705859211, + -0.9874793416717942, + -1.0512016899782488, + -1.108257552397774, + -1.1576284916101824, + -1.1984528662446583, + -1.2300529557870095, + -1.251957696681373, + -1.2639203931751826, + -1.2659308901579165, + -1.2582218324878762, + -1.24126878268267, + -1.2157841227021124, + -1.1827048220421732, + -1.1431743095756806, + -1.098518836633495, + -1.0502188599527138, + -0.9998761017731603, + -0.9491770572909691, + -0.8998538140117939, + -0.8536431208769674, + -0.8122446954693551, + -0.7772797838128622, + -0.7502509885289551, + -0.732504357290998, + -0.7251946751292635, + -0.7292548323021555, + -0.7453700458608016, + -0.7739575999342174, + -0.8151526398771032, + -0.8688004118977595, + -0.9344551861081796, + -1.0113859408574608, + -1.0985887236327667, + -1.1948054427175379, + -1.298548688132301, + -1.408132033969755, + -1.521705140672328, + -1.6372928583742503, + -1.752837434038715, + -1.86624284819494, + -1.975420253529414, + -2.0783334587465263, + -2.173043397718421, + -2.25775054610227, + -2.3308342947972807, + -2.3908883607146416, + -2.436751408623786, + -2.467532171058752, + -2.482628483669653, + -2.481739797817665, + -2.4648728871248906, + -2.43234062633434, + -2.38475388527769, + -2.323006743989775, + -2.248255393080768, + -2.1618912325406496, + -2.0655088185896866, + -1.9608694286995554, + -1.8498611165822902, + -1.734456209331821, + -1.6166672560849138, + -1.498502470194335, + -1.3819217142311335, + -1.2687940590314644, + -1.16085790497626, + -1.0596845868517317, + -0.9666462946793587, + -0.8828890340625418, + -0.8093112235936748, + -0.7465483868383864, + -0.6949642458405203, + -0.6546483657023304, + -0.62542033947963, + -0.6068403433461138, + -0.5982257376451283, + -0.5986732438503403, + -0.6070860941642401, + -0.6222054327476534, + -0.6426451482543122, + -0.6669292388389999, + -0.6935307549910619, + -0.7209113337248979, + -0.7475603305441166, + -0.7720325732794815, + -0.792983803858067, + -0.8092029391652372, + -0.8196403687102377, + -0.8234316125677544, + -0.8199157853346138, + -0.8086484474984482, + -0.7894085712220048, + -0.7621994994176116, + -0.7272439312875654, + -0.6849731203491111, + -0.6360106185024875, + -0.5811510382313609, + -0.5213344310726844, + -0.4576169909021731, + -0.3911388825931081, + -0.32309006792734607, + -0.25467504949786224, + -0.18707747853812254, + -0.12142557353803829, + -0.05875927316336571, + -5.267040044605034e-16 + ], + [ + 0, + 0.05179323099789152, + 0.09815102623154283, + 0.13875500357477022, + 0.17348800430968375, + 0.20243799734589646, + 0.22589621199691431, + 0.24434953469824966, + 0.2584673551098619, + 0.2690831925412453, + 0.2771715708734433, + 0.28382073563662186, + 0.290201917435928, + 0.29753593867701245, + 0.30705803314528946, + 0.3199817985636167, + 0.3374632294675177, + 0.36056578085672364, + 0.3902273919726829, + 0.42723035468831205, + 0.4721748434504844, + 0.5254568351305273, + 0.5872510396871168, + 0.6574993388801244, + 0.7359050934554383, + 0.8219335326472018, + 0.9148182871640914, + 1.0135739718494132, + 1.1170145708056844, + 1.2237772297971792, + 1.332350921905457, + 1.4411093262115509, + 1.5483471489045135, + 1.6523190244740364, + 1.7512800638816342, + 1.843527068651511, + 1.927439405947207, + 2.0015185405771967, + 2.064425245563426, + 2.1150135628575266, + 2.1523606588452253, + 2.175791813710177, + 2.1848998972723956, + 2.179558813834675, + 2.1599305417140564, + 2.1264655460231805, + 2.079896502170034, + 2.021225428580681, + 1.9517044863756399, + 1.8728108572414053, + 1.786216254764234, + 1.6937517554904291, + 1.5973687507183019, + 1.49909691567883, + 1.4010001669570504, + 1.3051316299006481, + 1.2134886640814397, + 1.1279689959473707, + 1.050328983571792, + 0.9821449894395669, + 0.9247787646771385, + 0.8793476537859262, + 0.846700315059703, + 0.8273985212199598, + 0.8217054605631086, + 0.8295808045862024, + 0.8506826473976327, + 0.8843762591334218, + 0.9297494340544331, + 0.9856340579214322, + 1.0506333724240615, + 1.1231542804376955, + 1.2014439179438139, + 1.2836296194228571, + 1.3677613257965733, + 1.4518554294164587, + 1.533939020455106, + 1.6120934940441995, + 1.6844964976868055, + 1.7494612433032337, + 1.8054722765958724, + 1.8512168865106917, + 1.8856114471704435, + 1.9078221110215536, + 1.9172794119286343, + 1.9136864870952932, + 1.897020783270255, + 1.8675292718471228, + 1.8257173552612957, + 1.7723317996480572, + 1.7083381723086528, + 1.6348933936233698, + 1.553314128456418, + 1.4650418390163626, + 1.3716053972318796, + 1.2745822081614921, + 1.1755588255288854, + 1.0760920455098295, + 0.977671445351455, + 0.881684289849074, + 0.7893836623069345, + 0.7018605890989493, + 0.6200208205793755, + 0.5445668085917108, + 0.47598528530448214, + 0.4145407030018528, + 0.3602746434439936, + 0.3130111522973357, + 0.272367802773787, + 0.23777214681584644, + 0.20848307558059198, + 0.18361648703215716, + 0.1621745502494545, + 0.14307776629420071, + 0.12519895639734657, + 0.10739826152137949, + 0.08855821418841782, + 0.0676179443832448, + 0.04360560629364678, + 0.015668160979882505, + -0.016902279475126784, + -0.05464624999576257, + -0.09791946758349393, + -0.14688057423841122, + -0.2014844224012978, + -0.26148109280234977, + -0.3264206848544366, + -0.3956637688150884, + -0.4683972406932224, + -0.5436551790593517, + -0.6203441711379253, + -0.6972724571730835, + -0.7731821400859571, + -0.8467836244939457, + -0.9167913873748796, + -0.9819601436372397, + -1.0411204546359158, + -1.0932128366893892, + -1.1373194597378522, + -1.1726925826570875, + -1.1987789500484158, + -1.2152394736463636, + -1.2219636374030804, + -1.2190781959568306, + -1.2069498783306412, + -1.1861819588027738, + -1.1576047112017798, + -1.1222599175521348, + -1.0813797531597957, + -1.036360514088323, + -0.9887317859167466, + -0.9401217713347926, + -0.8922195955132547, + -0.8467354897025697, + -0.8053598130663633, + -0.7697219087933139, + -0.7413498020764573, + -0.721631734234849, + -0.7117804893250256, + -0.7128014079058578, + -0.7254648986272011, + -0.7502841540120356, + -0.7874986547016405, + -0.8370639094867853, + -0.8986477299801514, + -0.9716331824121812, + -1.0551281985720231, + -1.1479816672919956, + -1.2488056710243838, + -1.3560033828326519, + -1.467802001183194, + -1.5822899766751373, + -1.6974576793231657, + -1.8112405698214973, + -1.9215638754770874, + -2.0263877327719175, + -2.1237517447737573, + -2.211817913226874, + -2.288910941863283, + -2.3535549684088775, + -2.4045058664531336, + -2.440778362781809, + -2.4616673384084704, + -2.46676281940419, + -2.4559583133651426, + -2.4294523053333115, + -2.387742889353665, + -2.3316156746630603, + -2.262125264803292, + -2.1805707598626447, + -2.088465872889949, + -1.9875043778786563, + -1.879521715530016, + -1.7664536716509223, + -1.6502931093961721, + -1.5330457790498364, + -1.4166862466651207, + -1.3031149752671216, + -1.1941175597090874, + -1.0913270595134292, + -0.996190294570003, + -0.9099388684059496, + -0.8335655653909021, + -0.7678066346470247, + -0.7131303279141715, + -0.6697319047823677, + -0.6375351603505244, + -0.6162003714085988, + -0.6051384015844852, + -0.6035305573702943, + -0.6103536491844761, + -0.6244095880013036, + -0.6443587415949419, + -0.6687561876777441, + -0.696089936243174, + -0.7248201517890195, + -0.7534183887497671, + -0.7804058607561188, + -0.804389795999622, + -0.8240969861399471, + -0.8384037133978672, + -0.8463613377280063, + -0.847216940766316, + -0.8404285526699259, + -0.8256746287235815, + -0.8028575911139807, + -0.7721014038187226, + -0.7337433012760035, + -0.6883199405517387, + -0.6365483883588123, + -0.5793024849566588, + -0.5175852433968815, + -0.4524980418730442, + -0.38520744660495315, + -0.3169105607611954, + -0.2487998299647802, + -0.1820282460824196, + -0.11767587801724298, + -0.05671862146403255, + -5.064170558417859e-16 + ], + [ + 0, + 0.04946375633905234, + 0.09339750151250803, + 0.1315872648651055, + 0.16402105386503243, + 0.19088954948341427, + 0.2125810868351269, + 0.22967104144796505, + 0.2429058880396116, + 0.2531823385359348, + 0.2615220957037073, + 0.26904287489455747, + 0.2769264460413105, + 0.28638452866155456, + 0.2986234321314257, + 0.31480837034917053, + 0.33602839313483923, + 0.36326286592424545, + 0.3973503947298982, + 0.4389610357750561, + 0.4885725500538758, + 0.5464513642695445, + 0.6126387835883791, + 0.6869428712923449, + 0.7689362689513333, + 0.8579600816906304, + 0.9531338002158694, + 1.0533710782998609, + 1.1574010352645978, + 1.263794611353031, + 1.3709953733448612, + 1.477354051625848, + 1.5811659911171456, + 1.6807106195309645, + 1.7742919793743568, + 1.8602793364670065, + 1.9371468683874171, + 2.0035114515290613, + 2.058167605038532, + 2.100118712922528, + 2.1286037305686616, + 2.1431186867993004, + 2.1434324148440025, + 2.129596082315442, + 2.1019462380846665, + 2.06110124927192, + 2.00795116060486, + 1.9436411672541796, + 1.8695490470420728, + 1.787257044830386, + 1.6985188373184004, + 1.6052223270787442, + 1.50934911745561, + 1.4129316023993705, + 1.3180086653668817, + 1.226581017577821, + 1.1405672172676307, + 1.061761397808984, + 0.9917936939931725, + 0.9320942932854135, + 0.8838619539956081, + 0.8480377270882864, + 0.8252844953425247, + 0.8159728057498146, + 0.820173321754291, + 0.8376560648246721, + 0.8678964537216515, + 0.9100879886064246, + 0.9631612697448974, + 1.0258088908215754, + 1.0965156084219476, + 1.1735930654278235, + 1.2552182398914826, + 1.339474704971571, + 1.4243957217892487, + 1.5080081471121833, + 1.5883761225268755, + 1.6636435215402308, + 1.7320741655674965, + 1.7920888781188824, + 1.8422985272085175, + 1.8815323070494587, + 1.908860628941673, + 1.9236121249489164, + 1.9253844131771338, + 1.9140484266163853, + 1.889746264806945, + 1.8528826851600384, + 1.8041105047283348, + 1.7443103298014353, + 1.6745651663087011, + 1.5961305853364596, + 1.5104012221602807, + 1.4188744715402144, + 1.323112304607132, + 1.224702172005426, + 1.1252179731551957, + 1.026182062260879, + 0.9290292283364542, + 0.8350735299517306, + 0.7454787871181758, + 0.661233434751347, + 0.5831303269824413, + 0.5117519521792703, + 0.44746137816139314, + 0.3903990993078631, + 0.3404858057886834, + 0.29743094381828034, + 0.2607467884357274, + 0.2297676105615502, + 0.2036733914666815, + 0.1815174235322004, + 0.16225703913076883, + 0.14478663203784548, + 0.12797207990240933, + 0.11068564334891103, + 0.0918404080426228, + 0.07042335073012383, + 0.045526148464089033, + 0.016372910943827333, + -0.017655902409354784, + -0.057004018456581484, + -0.10192486035680483, + -0.15247242229563968, + -0.20849775936398432, + -0.2696511962800169, + -0.3353902091531231, + -0.404992786035765, + -0.47757592836913826, + -0.5521188202510762, + -0.6274900691797939, + -0.7024783136968384, + -0.7758254029332402, + -0.8462612827747988, + -0.9125396750216931, + -0.9734736107905727, + -1.0279698781776727, + -1.0750614669535061, + -1.1139371392747657, + -1.1439673239684884, + -1.1647256211956638, + -1.1760053120424432, + -1.1778303911556718, + -1.1704607768724606, + -1.154391499001902, + -1.1303458158703992, + -1.0992623656586635, + -1.062276608599234, + -1.0206969624676525, + -0.9759761703215895, + -0.9296785631771967, + -0.8834439881296706, + -0.8389492615830365, + -0.7978680754685303, + -0.7618303298329636, + -0.7323818867599086, + -0.710945737630518, + -0.6987855482275577, + -0.6969724947348134, + -0.7063562294777733, + -0.7275407200502806, + -0.7608655915578211, + -0.8063934718315887, + -0.8639036967782413, + -0.9328925810008483, + -1.0125803011664318, + -1.1019242801604623, + -1.1996388027640938, + -1.3042204422766508, + -1.413978735902842, + -1.5270714183176304, + -1.6415434107785425, + -1.7553686702446398, + -1.8664939314871047, + -1.9728833269168635, + -2.0725628450230698, + -2.1636635895260974, + -2.2444628276007954, + -2.31342186620707, + -2.3692198694636386, + -2.410782825335477, + -2.4373069843691773, + -2.4482762240267464, + -2.4434729361605187, + -2.4229821888397383, + -2.3871890733463097, + -2.336769308821965, + -2.2726733368406116, + -2.196104292214492, + -2.1084903808802933, + -2.0114523272457174, + -1.9067666687227924, + -1.7963257715461123, + -1.682095517053231, + -1.5660716595962891, + -1.4502358849323846, + -1.3365126006763055, + -1.2267274681770646, + -1.1225686385949238, + -1.025551586202939, + -0.9369883407759453, + -0.8579618106446909, + -0.7893057613332867, + -0.7315908748119165, + -0.6851171647510496, + -0.649912867458802, + -0.6257397702627483, + -0.6121047828500373, + -0.6082774063452436, + -0.6133126133792856, + -0.6260785235444348, + -0.6452881455787194, + -0.6695343631184005, + -0.6973272671744281, + -0.7271328873816294, + -0.7574123467277476, + -0.7866604614901157, + -0.8134428294818523, + -0.8364304948217736, + -0.8544313450890769, + -0.8664174851431641, + -0.8715479388041556, + -0.8691861522691872, + -0.8589119084631099, + -0.8405274060607713, + -0.8140574070190819, + -0.7797435083358516, + -0.7380327435872606, + -0.6895608638223752, + -0.6351307819999883, + -0.575686786969932, + -0.512285238984309, + -0.4460625462318619, + -0.3782012887463728, + -0.3098954005948278, + -0.24231534241279223, + -0.17657419362191495, + -0.11369556713851899, + -0.05458419976227364, + -4.854713071472535e-16 + ], + [ + 0, + 0.04710629756706851, + 0.08863771370639299, + 0.12448440001574902, + 0.1547374660178851, + 0.17968651838611027, + 0.19981159093891093, + 0.2157696681518821, + 0.22837614668898515, + 0.23858171255091196, + 0.2474452324895612, + 0.25610336425887176, + 0.2657376783566456, + 0.277540151899347, + 0.2926779414055751, + 0.3122583643353277, + 0.3372950186113444, + 0.3686759450006858, + 0.40713468972062344, + 0.45322505509712824, + 0.5073002362458666, + 0.5694969337768244, + 0.6397249091148574, + 0.7176623132421838, + 0.8027569748836629, + 0.8942336839823417, + 0.9911073545042566, + 1.0922018009695666, + 1.1961737193877444, + 1.3015413290940059, + 1.4067170107287144, + 1.5100431703428745, + 1.6098304730310646, + 1.7043975238097406, + 1.7921110303797774, + 1.8714254630864942, + 1.9409212323786889, + 1.9993404333296676, + 2.0456192596744582, + 2.078916265108058, + 2.0986357454919804, + 2.104445629828812, + 2.0962893976276837, + 2.0743916824480757, + 2.039257372513315, + 1.9916641756391442, + 1.9326487735009203, + 1.8634868455975095, + 1.7856673923460935, + 1.7008619258929998, + 1.6108892230227232, + 1.5176764438847368, + 1.4232175104304003, + 1.3295297072215142, + 1.2386095129223733, + 1.1523886921681812, + 1.0726916740581531, + 1.0011952153036743, + 0.9393912937297002, + 0.8885541026320504, + 0.8497119202455845, + 0.8236245136070364, + 0.8107666051882929, + 0.8113177870100551, + 0.8251591140128463, + 0.8518764499804459, + 0.890770479133565, + 0.9408731385332433, + 1.0009700744931365, + 1.069628583987622, + 1.1452303730076223, + 1.2260083510834745, + 1.310086587486595, + 1.395522482194119, + 1.4803501552841127, + 1.5626240331884886, + 1.6404616097380147, + 1.7120843841516062, + 1.7758560264088477, + 1.8303168915667363, + 1.8742140967489744, + 1.906526485442452, + 1.9264839306195223, + 1.9335805679163118, + 1.9275816991765957, + 1.9085242614346827, + 1.8767109130424025, + 1.8326979432905526, + 1.777277360736282, + 1.7114536548785144, + 1.6364158524179062, + 1.5535056000151968, + 1.4641820975420368, + 1.3699847770877855, + 1.2724946717510575, + 1.173295443375108, + 1.0739350393385956, + 0.9758889253477303, + 0.8805257945503745, + 0.7890765844478504, + 0.7026075438067296, + 0.6219979843658537, + 0.5479232293361691, + 0.4808431356226521, + 0.42099642277922145, + 0.36840089257339753, + 0.3228594724451911, + 0.2839718678810734, + 0.25115146651083065, + 0.22364700413592337, + 0.20056838322949214, + 0.18091593069735512, + 0.1636122964394154, + 0.14753612961694965, + 0.13155662710767232, + 0.11456802945164911, + 0.09552314410590047, + 0.07346500388622212, + 0.047555819341487136, + 0.01710245616499891, + -0.01842223925443777, + -0.059362833749523065, + -0.10586986456859424, + -0.15789386849482015, + -0.21518504844784095, + -0.277298595737945, + -0.34360553820018275, + -0.4133088396941494, + -0.48546433859164634, + -0.5590059853945731, + -0.6327747257756132, + -0.7055502780196702, + -0.7760849755560474, + -0.8431387880248444, + -0.9055145996031576, + -0.9620928120498855, + -1.011864352445646, + -1.0539612016427817, + -1.0876836181441858, + -1.1125233120726354, + -1.1281819231127868, + -1.1345842723571606, + -1.1318859879897099, + -1.1204752454656124, + -1.1009685107879388, + -1.0742003269475537, + -1.0412073347927948, + -1.0032068667395029, + -0.9615705911220643, + -0.9177938131100768, + -0.8734611517340081, + -0.8302094087916587, + -0.7896885217869882, + -0.7535215476138853, + -0.7232646550077284, + -0.700368110989541, + -0.6861392293600976, + -0.6817082081081357, + -0.6879977183169069, + -0.705697021300587, + -0.7352412853274929, + -0.7767966509288526, + -0.8302514574134859, + -0.8952138961261934, + -0.9710162017873988, + -1.0567253357030117, + -1.1511599575955418, + -1.252913330132853, + -1.3603816556728103, + -1.4717972118582705, + -1.5852655347655569, + -1.6988057982447946, + -1.8103934583717312, + -1.9180041745419378, + -2.0196579851158547, + -2.113462706524301, + -2.1976555406203953, + -2.2706419154597657, + -2.3310306486477246, + -2.3776646083743156, + -2.4096461531895117, + -2.4263567548858305, + -2.4274703465620076, + -2.4129600866941776, + -2.3830983862246464, + -2.3384502054951, + -2.2798597874152193, + -2.2084311486904946, + -2.1255027984583217, + -2.032617289718552, + -1.9314863301964909, + -1.8239522828096062, + -1.711946969227736, + -1.5974487511212976, + -1.4824389011302683, + -1.368858288487434, + -1.2585653923251476, + -1.1532966193252896, + -1.0546298424787015, + -0.9639519958189556, + -0.8824314581411429, + -0.8109958394505817, + -0.750315650174116, + -0.7007941883234684, + -0.6625638274080589, + -0.6354887317159331, + -0.6191738694631688, + -0.6129800420920348, + -0.6160445034101403, + -0.6273066088435856, + -0.645537816080072, + -0.6693752566924046, + -0.6973580164132942, + -0.727965201538114, + -0.7596548318800261, + -0.7909025876306296, + -0.8202394486313952, + -0.8462872995764055, + -0.8677916325928319, + -0.883650557961713, + -0.8929394323986868, + -0.8949305297852068, + -0.8891073085849277, + -0.87517297011658, + -0.8530531488454827, + -0.8228927261931961, + -0.7850469092644646, + -0.7400668615868178, + -0.6886803107965611, + -0.6317676847348653, + -0.5703344394772903, + -0.5054803376156753, + -0.4383665102864558, + -0.37018119013344153, + -0.30210503328757476, + -0.23527695579734403, + -0.1707613936001296, + -0.10951785553221303, + -0.05237357706344265, + -4.640365548799258e-16 + ], + [ + 0, + 0.04473933418560056, + 0.0839081719584963, + 0.11749954519667308, + 0.14570468893276076, + 0.16890750530274243, + 0.1876735707511887, + 0.20273396830679663, + 0.21496436258907017, + 0.22535986050952067, + 0.2350063121982369, + 0.2450488016723509, + 0.2566581527354587, + 0.2709963306015859, + 0.2891816523448687, + 0.31225472861970993, + 0.3411460448929843, + 0.3766460529888243, + 0.41937858396112476, + 0.4697783126354179, + 0.5280729045834678, + 0.594270360271804, + 0.6681519415377009, + 0.7492709256161464, + 0.8369572851582439, + 0.9303282427126902, + 1.028304498742342, + 1.1296317871659824, + 1.2329072752998635, + 1.33661019938255, + 1.4391360157800377, + 1.5388332543102292, + 1.6340421862916819, + 1.723134367819262, + 1.804552089770036, + 1.8768467609467634, + 1.9387152697820562, + 1.9890334127638496, + 2.0268855432235804, + 2.0515896808074006, + 2.06271742775502, + 2.0601081604892784, + 2.0438771010062546, + 2.0144170188420105, + 1.9723934674082808, + 1.9187336144929263, + 1.8546088818882196, + 1.7814117596310548, + 1.700727302512112, + 1.6142999468324009, + 1.523996400639074, + 1.4317654580060895, + 1.3395956649243634, + 1.249471819111526, + 1.1633313171683592, + 1.0830213692009263, + 1.0102580830956056, + 0.9465883784846235, + 0.8933556250705976, + 0.8516698129597934, + 0.8223829560849145, + 0.8060703062596422, + 0.8030178178953618, + 0.8132161552649714, + 0.8363613790197821, + 0.8718622902257278, + 0.9188542523365092, + 0.9762191581007482, + 1.042611063134827, + 1.1164868743088756, + 1.1961413624284094, + 1.2797456678189438, + 1.3653883867686114, + 1.4511182682891128, + 1.534987515709656, + 1.6150946770326873, + 1.6896261219690938, + 1.7568951417439354, + 1.8153777691403947, + 1.8637444992790753, + 1.9008871942327812, + 1.9259405741969757, + 1.938297831602045, + 1.9376200489553743, + 1.9238392527694905, + 1.8971550909297041, + 1.8580252754647923, + 1.8071500831099598, + 1.74545134860541, + 1.6740465168721221, + 1.5942184368522225, + 1.5073816790652157, + 1.4150462384197804, + 1.318779541635822, + 1.2201677134154947, + 1.1207770664724397, + 1.0221167674948368, + 0.925603594486244, + 0.832529641690445, + 0.7440337480135544, + 0.6610773255813278, + 0.5844251493513642, + 0.5146315394839811, + 0.4520322287364905, + 0.3967420610068499, + 0.34865851799790576, + 0.30747092255402597, + 0.27267502326420223, + 0.24359252903710854, + 0.2193950379333135, + 0.1991316946937943, + 0.18175981886766016, + 0.16617767251258053, + 0.15125848492050575, + 0.13588482297027157, + 0.11898239021788144, + 0.0995523558068075, + 0.07670135522644903, + 0.04966836780116334, + 0.017847758938672093, + -0.019192123521281586, + -0.061695292622023085, + -0.10970976952905843, + -0.16308476013228754, + -0.22147344183738457, + -0.2843412946391313, + -0.35097976544135057, + -0.42052491475100406, + -0.4919805638821064, + -0.5642453419910043, + -0.636142928656752, + -0.7064547019658852, + -0.7739539363599957, + -0.8374406505545364, + -0.8957761847895772, + -0.947916589104978, + -0.9929439302302175, + -1.0300946734401633, + -1.058784366173743, + -1.0786279406177284, + -1.0894550605936095, + -1.0913200612739702, + -1.0845061654353507, + -1.0695238037610053, + -1.0471030155491816, + -1.0181800563385066, + -0.9838784866675816, + -0.9454851577314014, + -0.9044216415177617, + -0.8622117717730378, + -0.8204460648472909, + -0.7807438734852491, + -0.744714189804518, + -0.7139160543898952, + -0.6898195455443383, + -0.6737683157663223, + -0.6669446115613686, + -0.670337658428485, + -0.6847162165558438, + -0.7106060162286457, + -0.7482726675149783, + -0.7977105092194465, + -0.8586377205266066, + -0.9304978686464972, + -1.0124679107902255, + -1.1034725127395089, + -1.202204392959003, + -1.3071502544013691, + -1.4166217294867054, + -1.5287906405701772, + -1.6417277715879428, + -1.7534442591339203, + -1.861934645141231, + -1.9652205902755882, + -2.061394228181432, + -2.148660146355359, + -2.225375009551055, + -2.290083895541077, + -2.3415524894861024, + -2.3787943802505165, + -2.401092817407988, + -2.4080164186043356, + -2.3994284602102027, + -2.375489536321895, + -2.336653528457584, + -2.283656986923769, + -2.2175021809371507, + -2.139434224386149, + -2.050912823966648, + -1.953579322935265, + -1.8492198238273743, + -1.7397252645257943, + -1.627049391848963, + -1.5131656236868511, + -1.400023813543445, + -1.289507929632957, + -1.1833956345103847, + -1.0833207012835862, + -0.9907391300239512, + -0.9068997348858749, + -0.832819860987568, + -0.7692667630686837, + -0.7167450384752072, + -0.6754903585787536, + -0.6454695889810074, + -0.6263872335729835, + -0.6176979845315597, + -0.618625013396081, + -0.6281835010727814, + -0.6452087803149337, + -0.6683883559444032, + -0.696296978435212, + -0.7274338776241698, + -0.7602612168802447, + -0.7932428051264906, + -0.8248821051540122, + -0.8537586015882832, + -0.8785616399630128, + -0.8981209183501824, + -0.9114329030689667, + -0.9176825478379858, + -0.9162598185933128, + -0.90677066094943, + -0.889042190522206, + -0.8631220344468303, + -0.8292719016808044, + -0.7879556063313069, + -0.7398219086098027, + -0.68568266857989, + -0.6264869253646665, + -0.5632916159872821, + -0.4972297310087305, + -0.42947676654470157, + -0.36121637255196143, + -0.2936061144955254, + -0.22774425924349934, + -0.1646384664802749, + -0.10517721486040985, + -0.05010471889032582, + -4.422840629188771e-16 + ], + [ + 0, + 0.042381078013642756, + 0.07924438062789622, + 0.11068365232453298, + 0.1369864078867461, + 0.15862542891321957, + 0.17624500080639707, + 0.19064224712728037, + 0.20274404707658022, + 0.2135801384270025, + 0.22425310952338154, + 0.23590606739858155, + 0.24968883248362053, + 0.26672355218206106, + 0.2880706446361315, + 0.31469597981093933, + 0.3474401776236241, + 0.3869908528899496, + 0.43385856556307667, + 0.4883571438476994, + 0.5505889395318146, + 0.6204354519719587, + 0.6975536226522835, + 0.7813779594666935, + 0.8711285024130119, + 0.9658244939301845, + 1.0643034713774777, + 1.1652453598122279, + 1.267201013781611, + 1.3686245405764546, + 1.4679086372521482, + 1.563422092258709, + 1.653548541834889, + 1.7367255329932667, + 1.8114829299854671, + 1.8764797100405541, + 1.9305382267759723, + 1.972675075260986, + 2.0021277699678772, + 2.018376543936612, + 2.0211606920694276, + 2.010489010789751, + 1.9866440272021177, + 1.95017985994023, + 1.9019137074452324, + 1.842911113713081, + 1.7744653128009629, + 1.6980710978682918, + 1.615393794688269, + 1.5282340400900742, + 1.438489169697724, + 1.3481121040430453, + 1.259068685536748, + 1.1732944592957566, + 1.0926519074168044, + 1.0188891385140217, + 0.9536010023554747, + 0.8981935439888201, + 0.8538526341632269, + 0.8215175150005498, + 0.8018598841088296, + 0.7952690094697289, + 0.8018432246445267, + 0.8213880025988176, + 0.8534206504201715, + 0.8971815101886942, + 0.9516513970746375, + 1.0155748581267927, + 1.08748869776533, + 1.1657550920371518, + 1.248598506233581, + 1.3341455421051975, + 1.420466773764094, + 1.5056195870447941, + 1.5876910166459695, + 1.6648395792542539, + 1.7353351289200107, + 1.7975958124815044, + 1.8502212765116761, + 1.8920213712435365, + 1.922039708871375, + 1.9395715607454593, + 1.9441757171276048, + 1.9356800809148136, + 1.9141809194235044, + 1.880035852198512, + 1.8338508040880492, + 1.7764612977990573, + 1.7089085952707668, + 1.6324113191827276, + 1.548333291783666, + 1.4581484154307172, + 1.3634034856738202, + 1.265679871834853, + 1.166555020799722, + 1.0675647367296002, + 0.9701671627612627, + 0.8757093412486872, + 0.7853971580085073, + 0.7002693852133123, + 0.6211764293595791, + 0.5487642678789829, + 0.48346392358017115, + 0.4254866836008496, + 0.37482512251039274, + 0.33125984133123404, + 0.2943716892555316, + 0.26355909635629926, + 0.23806001709335356, + 0.2169778691021579, + 0.1993107525003091, + 0.18398315421681413, + 0.1698792816399524, + 0.15587713166884545, + 0.14088238596573113, + 0.12386123118714297, + 0.10387123398401744, + 0.08008945378540885, + 0.0518370504420577, + 0.018599736805056902, + -0.01995646412376924, + -0.06397457450036616, + -0.11340141246911652, + -0.16798788038104528, + -0.22729478742218875, + -0.2907040588647875, + -0.3574350430539325, + -0.42656549343691047, + -0.4970566798339875, + -0.5677819738719155, + -0.6375581608432266, + -0.7051786565863043, + -0.7694477551986877, + -0.8292150028700599, + -0.8834087856641929, + -0.9310682349238677, + -0.9713725927663988, + -1.0036672409496274, + -1.027485677733982, + -1.0425668272421502, + -1.0488671817523965, + -1.0465674064752526, + -1.0360731754415091, + -1.0180101527012793, + -0.9932131814589509, + -0.962709891328128, + -0.9276990768788752, + -0.8895243354678094, + -0.8496435755869015, + -0.8095951155184483, + -0.7709611831791471, + -0.7353296993428171, + -0.7042552761035178, + -0.6792203891673573, + -0.6615976855983785, + -0.6526143678348274, + -0.6533195505719457, + -0.6645554204929539, + -0.6869329413954732, + -0.720812741099881, + -0.7662916942009224, + -0.8231955792012555, + -0.8910780431453382, + -0.9692259551049419, + -1.0566710754682829, + -1.1522078147399297, + -1.254416707234154, + -1.3616930852903466, + -1.472280311902505, + -1.584306817091393, + -1.6958260887457242, + -1.8048586943682174, + -1.9094353580381813, + -2.0076400882579533, + -2.097652347922895, + -2.1777872775897626, + -2.2465330270628154, + -2.302584317032031, + -2.3448714404827675, + -2.3725840207286413, + -2.3851889666062767, + -2.3824422026127205, + -2.3643938992313056, + -2.3313870827967014, + -2.2840496612484857, + -2.2232800581983203, + -2.1502267990949644, + -2.066262536236837, + -1.9729531304832097, + -1.8720225235742802, + -1.7653142331794924, + -1.6547503807829211, + -1.5422892184137027, + -1.4298821527085015, + -1.3194312730986995, + -1.212748374887145, + -1.1115164280544896, + -1.0172543798356557, + -0.9312860950143789, + -0.8547141346014574, + -0.7883989536596218, + -0.7329439654897868, + -0.6886867755045077, + -0.6556967374376572, + -0.6337788307880355, + -0.6224837053504915, + -0.621123590108172, + -0.6287936232821507, + -0.6443980313914068, + -0.6666804709056908, + -0.6942577492458292, + -0.7256560648322065, + -0.7593488504403352, + -0.7937952715900755, + -0.8274784227998147, + -0.8589422794181238, + -0.886826500951625, + -0.9098982423101035, + -0.9270802106063748, + -0.937474304986212, + -0.9403802928708299, + -0.9353091050235135, + -0.9219904707360096, + -0.9003747596620142, + -0.87062904474668, + -0.8331275475946543, + -0.7884367697996237, + -0.7372957476658146, + -0.6805919900394016, + -0.6193337665860791, + -0.5546195041228603, + -0.4876051193000327, + -0.4194701652903247, + -0.35138369697167143, + -0.28447076275033784, + -0.21978041160853087, + -0.1582560617046998, + -0.10070901300602704, + -0.04779580263408223, + -4.2038483273725974e-16 + ], + [ + 0, + 0.040049294538061185, + 0.07468049758121535, + 0.10408500882074903, + 0.1286419591632936, + 0.14890687313738232, + 0.1655953110749863, + 0.17956191843022898, + 0.1917754304968615, + 0.20329028776729155, + 0.21521560751023666, + 0.22868232852021184, + 0.2448093965744725, + 0.26466988660805185, + 0.2892579632266648, + 0.3194575637365862, + 0.3560136477758645, + 0.3995067958483503, + 0.45033185710350293, + 0.5086812465925487, + 0.5745333764462495, + 0.6476465768399042, + 0.727558724441963, + 0.8135926517349893, + 0.9048672637632355, + 1.0003141431821552, + 1.0986992836224092, + 1.1986494588827743, + 1.2986826146794566, + 1.3972415636655662, + 1.4927301758937892, + 1.5835511880980513, + 1.6681447078998233, + 1.7450264645534135, + 1.812824856820204, + 1.8703158711103336, + 1.9164549886728581, + 1.9504052682984223, + 1.9715608791195591, + 1.979565464540311, + 1.9743248405279894, + 1.9560136664890004, + 1.9250758714388883, + 1.8822187686333625, + 1.8284009445672376, + 1.7648141595229379, + 1.69285964294014, + 1.6141193041843094, + 1.5303225044256872, + 1.443309145206986, + 1.3549899211531566, + 1.2673046558747012, + 1.1821796896452998, + 1.1014853136447869, + 1.0269942477682354, + 0.9603421371199223, + 0.9029909968352049, + 0.8561964668819062, + 0.8209796496160136, + 0.7981041952476401, + 0.7880591766164278, + 0.7910481577808077, + 0.8069847142163876, + 0.8354945094593001, + 0.8759238775386042, + 0.927354706297733, + 0.9886252674576711, + 1.0583564986499492, + 1.1349831140597573, + 1.2167888068857584, + 1.301944711289132, + 1.3885502161743635, + 1.4746751698270915, + 1.5584024843973883, + 1.6378701431561669, + 1.7113116314756893, + 1.777093854109306, + 1.8337516655098394, + 1.8800182250172095, + 1.9148504926409455, + 1.937449301278889, + 1.9472735745740322, + 1.9440484029193306, + 1.9277668398402843, + 1.8986854334299705, + 1.8573136589343064, + 1.8043975652723507, + 1.7408980866376345, + 1.6679645969848365, + 1.5869043970808354, + 1.4991489181812852, + 1.4062175010128992, + 1.3096796618209954, + 1.2111167875422986, + 1.112084209012249, + 1.0140745844249883, + 0.9184834855278083, + 0.8265780173162063, + 0.7394692199108706, + 0.6580889009563317, + 0.583171430845509, + 0.5152409042922176, + 0.45460393350390504, + 0.40134819393826454, + 0.3553466969905782, + 0.3162676186370703, + 0.28358937269542595, + 0.2566204854690345, + 0.2345237084096264, + 0.216343700056622, + 0.20103752050884963, + 0.18750711323335187, + 0.17463290180112023, + 0.1613076043095442, + 0.14646936639103825, + 0.1291333348237621, + 0.10842083728285834, + 0.08358539856542965, + 0.054034908021605585, + 0.019349354767222795, + -0.020706336057227256, + -0.06617470415229454, + -0.11690359304985763, + -0.17254948593509983, + -0.23258625320591556, + -0.29631908501699583, + -0.3629032461379516, + -0.4313671637316543, + -0.5006392443541855, + -0.5695777175035791, + -0.6370027219291461, + -0.7017297897361932, + -0.762603843662283, + -0.8185328058001343, + -0.8685199219714468, + -0.9116939348094072, + -0.9473362897022639, + -0.9749046298432374, + -0.9940519279504989, + -1.0046407105065913, + -1.0067519529315017, + -1.0006883578962114, + -0.9869718706658802, + -0.9663354313912508, + -0.9397091109850015, + -0.9082009209436996, + -0.8730727245898434, + -0.8357118042539352, + -0.7975987526789028, + -0.7602724545191768, + -0.725293002730676, + -0.6942034528727383, + -0.6684913543460614, + -0.6495510103989931, + -0.6386474079495496, + -0.6368827240792764, + -0.6451662592261372, + -0.6641885689688675, + -0.6944004687178922, + -0.7359974709569201, + -0.7889100856920631, + -0.8528002745990116, + -0.9270642014339344, + -1.0108412692092479, + -1.103029282159649, + -1.2023054213824442, + -1.3071525809003373, + -1.415890479268105, + -1.5267108439797572, + -1.6377158647479015, + -1.7469590297351443, + -1.8524873980632761, + -1.9523843239354521, + -2.0448116334491147, + -2.128050265039359, + -2.2005384182711922, + -2.260906312603427, + -2.3080067364187316, + -2.340940665160935, + -2.359077343461109, + -2.3620683568575096, + -2.3498553609495856, + -2.3226712861184846, + -2.281034990643654, + -2.2257394903864465, + -2.157834045421196, + -2.0786005293729097, + -1.9895246422377593, + -1.8922626488421053, + -1.7886044298974304, + -1.6804337182997804, + -1.5696864578393923, + -1.4583082632875686, + -1.3482119789276796, + -1.2412363265929982, + -1.1391066043540308, + -1.0433983439366512, + -0.9555047600907145, + -0.8766087303405997, + -0.8076599311956819, + -0.7493576297671538, + -0.7021394909749737, + -0.6661766135619028, + -0.6413748565830603, + -0.6273823656375557, + -0.6236030585956089, + -0.6292156876137044, + -0.6431979613155975, + -0.6643550913875498, + -0.6913520243956234, + -0.7227485348788042, + -0.7570362917335597, + -0.7926769680962322, + -0.8281404463074119, + -0.8619421744893452, + -0.8926787595798156, + -0.9190609325602938, + -0.9399430937507958, + -0.9543487375510022, + -0.961491164542122, + -0.9607890116631789, + -0.9518762651252237, + -0.9346065624438137, + -0.9090517358823823, + -0.8754946960386355, + -0.834416897598602, + -0.786480765839845, + -0.7325075888737468, + -0.673451493723352, + -0.6103702213243009, + -0.5443934940058944, + -0.47668982702034207, + -0.4084326718198197, + -0.34076679216347927, + -0.27477576447320085, + -0.21145146143059923, + -0.15166632347326867, + -0.09614914801098084, + -0.045465032762774325, + -3.985078954610722e-16 + ], + [ + 0, + 0.03776113089419496, + 0.07024901025820812, + 0.09774879032879372, + 0.12072579551420239, + 0.1398115077887247, + 0.15578481023370214, + 0.16954898138173594, + 0.18210504505606034, + 0.1945221770531845, + 0.20790594882588598, + 0.22336524726535023, + 0.24197874723432705, + 0.2647618286834462, + 0.29263482256835427, + 0.32639343952726246, + 0.3666821830979016, + 0.4139714764230387, + 0.46853913970883837, + 0.5304567474311053, + 0.5995812721218277, + 0.675552288556475, + 0.7577948716233527, + 0.8455281766065156, + 0.9377795456776213, + 1.0334038427106986, + 1.131107583674236, + 1.2294773052215087, + 1.327011502848415, + 1.4221553749473457, + 1.513337532685824, + 1.599007779851687, + 1.6776750330939687, + 1.7479444422667962, + 1.8085527831982944, + 1.8584012309246218, + 1.896584679443087, + 1.9224168529849401, + 1.9354505518027696, + 1.9354924901479673, + 1.9226123127006696, + 1.8971455150778391, + 1.8596901407816202, + 1.8110972774673497, + 1.7524555260155046, + 1.6850697628820683, + 1.6104346559568183, + 1.5302035232300708, + 1.4461532387641802, + 1.3601459889304788, + 1.2740887611575051, + 1.1898915055612118, + 1.1094249453290899, + 1.0344790236980028, + 0.9667229634667748, + 0.9076678794715213, + 0.8586328261557001, + 0.8207150826794427, + 0.7947653788498397, + 0.781368648911242, + 0.7808307697269022, + 0.7931715982763874, + 0.8181244741258379, + 0.8551421992275422, + 0.903409353797835, + 0.9618606568422365, + 1.0292049367936411, + 1.1039541451794426, + 1.1844567274529358, + 1.2689345629913822, + 1.3555226032466194, + 1.4423102751331207, + 1.527383677433906, + 1.6088675822217793, + 1.684966261381598, + 1.754002190040665, + 1.8144517332541399, + 1.8649769982751396, + 1.9044531302669712, + 1.9319904420117597, + 1.946950895242315, + 1.9489585895304073, + 1.9379040607917208, + 1.9139423418170722, + 1.877484888114394, + 1.829185620045051, + 1.7699214731444632, + 1.7007679791897783, + 1.6229705178341438, + 1.5379119796246612, + 1.4470776635228682, + 1.3520182936845864, + 1.2543120797768494, + 1.1555267616118248, + 1.0571825720307773, + 0.9607170220256621, + 0.8674523598638236, + 0.7785664828562814, + 0.6950679882723868, + 0.6177759411111201, + 0.547304813760435, + 0.4840549191174382, + 0.42820851787386227, + 0.3797316359397902, + 0.33838148302005155, + 0.3037192218065652, + 0.2751277026478511, + 0.25183365426552873, + 0.23293371020386028, + 0.21742355597810656, + 0.20422940567672404, + 0.19224096094937018, + 0.18034497124103996, + 0.16745850262817433, + 0.15256103392301096, + 0.13472453251193825, + 0.11314071779116135, + 0.08714479562528893, + 0.05623504104191317, + 0.020087715991171824, + -0.021433068350340923, + -0.06827080268767677, + -0.1201774629752808, + -0.1767198027720133, + -0.2372908897886119, + -0.3011265845015277, + -0.3673265290555437, + -0.4348790960016315, + -0.5026896417367658, + -0.5696113214980365, + -0.6344776536658557, + -0.696135972726421, + -0.7534808837887564, + -0.8054868277519814, + -0.851238885209613, + -0.8899609885225314, + -0.9210407741902742, + -0.9440503901631612, + -0.9587626730266487, + -0.9651622255656312, + -0.9634510532037527, + -0.9540485550181106, + -0.9375858080228768, + -0.9148942286150153, + -0.886988838836869, + -0.8550465038191957, + -0.8203796369269312, + -0.7844059874488762, + -0.7486152291493351, + -0.7145331539968173, + -0.6836843416944739, + -0.6575542205364043, + -0.6375514574110912, + -0.6249716138342604, + -0.6209629806623644, + -0.6264954571360613, + -0.6423332712194703, + -0.6690122494644075, + -0.7068222379691108, + -0.7557951539966956, + -0.8156990134339023, + -0.8860381357820932, + -0.9660595792887942, + -1.0547657078032457, + -1.150932641682659, + -1.253134201259981, + -1.3597708165547622, + -1.469102754396054, + -1.5792869069639544, + -1.6884162966041738, + -1.7945613828492255, + -1.8958122106187383, + -1.9903204147591207, + -2.0763400960441873, + -2.1522666075326886, + -2.216672337223664, + -2.2683386421505936, + -2.3062831787517992, + -2.329781982385309, + -2.3383857726076474, + -2.3319300973088493, + -2.310539074677439, + -2.2746226437155515, + -2.2248673879475724, + -2.1622211493238, + -2.0878717964103153, + -2.0032206492037883, + -1.9098511889584082, + -1.8094937922055023, + -1.7039873210021617, + -1.5952384741233383, + -1.4851798546662884, + -1.3757277371605816, + -1.2687405211321836, + -1.165978838099588, + -1.069068235712698, + -0.9794652972790014, + -0.8984279688984794, + -0.8269907619925886, + -0.7659453787557863, + -0.7158271749578473, + -0.6769077318686612, + -0.649193660381699, + -0.6324316093362582, + -0.6261193002926742, + -0.6295222662694089, + -0.6416958357460564, + -0.6615117788937187, + -0.6876889235361052, + -0.7188269564190828, + -0.7534425531822064, + -0.7900069296990402, + -0.8269838793647386, + -0.8628673560771514, + -0.8962176811217416, + -0.9256954933928218, + -0.9500926252625206, + -0.9683591693074742, + -0.9796261018907629, + -0.9832229457015197, + -0.9786900818306123, + -0.9657854595588912, + -0.944485595285855, + -0.9149808973285366, + -0.8776654970261006, + -0.8331219050962129, + -0.7821009420416638, + -0.7254975093612387, + -0.6643228714413997, + -0.5996742037364311, + -0.5327022290653548, + -0.4645778089383436, + -0.3964583796804285, + -0.32945512321257603, + -0.26460173971895773, + -0.20282564468498407, + -0.1449223470990012, + -0.09153368066347725, + -0.043130457834020294, + -3.768186435540968e-16 + ], + [ + 0, + 0.03553295222891896, + 0.06598043276517529, + 0.0917166508105038, + 0.11328700836186595, + 0.1313915875256206, + 0.1468642100782241, + 0.16064762154271614, + 0.17376545442499058, + 0.187291710953867, + 0.20231857250309465, + 0.21992338912420822, + 0.2411357270862674, + 0.2669053543489913, + 0.2980720234008834, + 0.3353378683515862, + 0.37924316961115473, + 0.4301461564812571, + 0.4882074175787871, + 0.5533793737055132, + 0.625401140441158, + 0.7037989715512366, + 0.7878923326728099, + 0.876805511221062, + 0.9694845266520535, + 1.0647189686910397, + 1.1611682633354832, + 1.2573917506007122, + 1.3518818570352682, + 1.443099562568492, + 1.529511297409788, + 1.6096263621589608, + 1.6820339441440073, + 1.7454388058563346, + 1.7986947472115067, + 1.8408349916629787, + 1.8710987158144288, + 1.8889530314593743, + 1.8941098357792465, + 1.886537067168619, + 1.8664640378688044, + 1.834380657015895, + 1.7910305053612965, + 1.7373978721805061, + 1.6746890120806632, + 1.604308020924569, + 1.5278278624169521, + 1.4469571967759323, + 1.3635037673686021, + 1.2793351876275836, + 1.19633803682892, + 1.1163762177358656, + 1.0412495505683084, + 0.9726535756761825, + 0.9121415116870177, + 0.8610892673499247, + 0.8206643349609095, + 0.7917993028136439, + 0.7751706157549635, + 0.7711830892566556, + 0.7799605464412286, + 0.8013428025195424, + 0.8348890706340466, + 0.8798877108099727, + 0.9353720933002035, + 1.0001422027243612, + 1.0727914735692519, + 1.15173822413507, + 1.2352609478743186, + 1.3215366308967114, + 1.40868119438017, + 1.4947911124177082, + 1.5779852305894795, + 1.6564458088608875, + 1.7284578342777925, + 1.792445693785331, + 1.8470063642040817, + 1.8909383632860173, + 1.9232658106815055, + 1.94325706797602, + 1.9504375597255994, + 1.9445965193569714, + 1.9257875514052363, + 1.8943230512100395, + 1.850762671207073, + 1.7958961657103358, + 1.730721080092734, + 1.6564158722725622, + 1.5743091614379972, + 1.4858458884044137, + 1.3925512417522605, + 1.2959932522814335, + 1.197744984217734, + 1.099347254454746, + 1.0022727909179565, + 0.9078926984774811, + 0.8174460368466211, + 0.7320132312484083, + 0.6524939354591752, + 0.5795898507247793, + 0.5137928759366052, + 0.45537882758671355, + 0.40440682584311755, + 0.36072429916977616, + 0.32397741787058226, + 0.29362663031742336, + 0.26896684784132796, + 0.24915170850760032, + 0.2332212491384674, + 0.220132231489662, + 0.2087903044898152, + 0.19808314148143952, + 0.18691367049763563, + 0.1742325172519435, + 0.1590688046254712, + 0.1405584983566251, + 0.11796955517769912, + 0.09072321508513162, + 0.05841088158801125, + 0.02080615004505253, + -0.022128328387403348, + -0.07023932435489666, + -0.12318688682330303, + -0.18045347518218505, + -0.24135812554782035, + -0.3050752779895686, + -0.37065776902307845, + -0.43706338395674754, + -0.503184269339129, + -0.567878429242484, + -0.6300024723921949, + -0.6884447416765123, + -0.7421579442758794, + -0.7901904099079422, + -0.8317151362980055, + -0.8660558341974389, + -0.8927092577819822, + -0.9113631982538876, + -0.9219096266648298, + -0.924452593678387, + -0.9193106261659916, + -0.9070134998745768, + -0.8882934104279191, + -0.8640707080385007, + -0.8354345009140518, + -0.8036185649259087, + -0.7699731193150023, + -0.7359331369493363, + -0.7029839501463483, + -0.6726249869668023, + -0.6463325262645551, + -0.6255223912360295, + -0.6115135098954515, + -0.6054932565115666, + -0.608485450857594, + -0.6213218329935484, + -0.6446177516114581, + -0.6787527056347853, + -0.7238562641457672, + -0.7797997615992048, + -0.8461940267894601, + -0.9223932585532882, + -1.0075050122791918, + -1.1004061126104099, + -1.1997641629314064, + -1.30406418488605, + -1.4116397946818278, + -1.5207082104187504, + -1.6294082889369896, + -1.735840714087252, + -1.8381094028090654, + -1.9343631623568147, + -2.0228366222918073, + -2.1018894787418807, + -2.1700431256175987, + -2.226013807095634, + -2.268741506312406, + -2.2974138849158576, + -2.3114847044931324, + -2.310686291108641, + -2.2950357450930006, + -2.2648347463966654, + -2.220662957662678, + -2.1633651789896864, + -2.0940325564586706, + -2.01397828728492, + -1.9247083945108538, + -1.827888260318348, + -1.7253057064968034, + -1.6188314909493615, + -1.5103781484199648, + -1.4018581404585502, + -1.295142293143661, + -1.1920194909562023, + -1.0941585617284906, + -1.003073231636149, + -0.9200909521625348, + -0.8463263047680698, + -0.7826595760293159, + -0.7297209690716907, + -0.6878807793416155, + -0.6572457175449796, + -0.637661413493546, + -0.6287209853112378, + -0.6297794126188725, + -0.6399733135070198, + -0.6582455967100631, + -0.683374345534356, + -0.7140051915530639, + -0.7486863562342368, + -0.7859054794241528, + -0.8241273163586588, + -0.8618313704672123, + -0.8975485379460862, + -0.9298958716139354, + -0.9576086250639632, + -0.9795688121887105, + -0.9948296098647964, + -1.0026350405755198, + -1.0024344942486254, + -0.9938917814949262, + -0.9768885503977484, + -0.9515220425019174, + -0.9180973070821088, + -0.8771141325403478, + -0.8292490863973029, + -0.7753331774924346, + -0.7163257626538597, + -0.6532854125424831, + -0.5873385253303481, + -0.5196465305207936, + -0.4513725572510576, + -0.3836484510738673, + -0.3175430102936433, + -0.25403227780322146, + -0.1939726679543633, + -0.138077631759576, + -0.08689846962156005, + -0.04080979122537535, + -3.554772193663964e-16 + ], + [ + 0, + 0.033380188098396116, + 0.06190302700405919, + 0.0860263540098695, + 0.10636891126999953, + 0.12369153367612479, + 0.1388742551755002, + 0.15288993928827882, + 0.16677513160508511, + 0.18159890627325379, + 0.19843053301023125, + 0.21830682460928838, + 0.24220003635016982, + 0.2709871778725202, + 0.3054215651508984, + 0.3461073860204675, + 0.39347797857170413, + 0.447778429493592, + 0.5090529913885314, + 0.5771376969002969, + 0.6516584162145277, + 0.7320344663938957, + 0.817487739558545, + 0.9070571756685938, + 0.9996182681631826, + 1.0939071604269799, + 1.1885487712835452, + 1.2820882814934405, + 1.3730252232689397, + 1.4598493434124151, + 1.5410773596896268, + 1.6152897008052092, + 1.6811663136597121, + 1.7375206376799843, + 1.7833308846051863, + 1.8177678222974385, + 1.8402183415088254, + 1.8503041831508356, + 1.8478953180970394, + 1.833117599124889, + 1.8063544421577478, + 1.7682424381395647, + 1.7196609441273933, + 1.661715848902721, + 1.5957178509694754, + 1.523155721707005, + 1.4456651503462268, + 1.3649938772663912, + 1.2829639151402126, + 1.201431731366869, + 1.122247318172224, + 1.0472131073840163, + 0.9780436944118972, + 0.9163273201517719, + 0.8634900207350091, + 0.82076329416624, + 0.789156051390237, + 0.7694315191583175, + 0.762089645646189, + 0.7673554299264079, + 0.7851734562688456, + 0.8152087672338717, + 0.85685405920769, + 0.9092430340611927, + 0.9712695946389246, + 1.0416124333515788, + 1.1187644356173452, + 1.2010662063701554, + 1.2867429310788414, + 1.373943705040747, + 1.4607824079993035, + 1.5453791667443058, + 1.6259014370964284, + 1.7006037487961483, + 1.7678651919812192, + 1.8262237812513096, + 1.874406911346331, + 1.911357215263607, + 1.936253248806988, + 1.9485245522999006, + 1.947860777375356, + 1.9342147110004717, + 1.907799176653364, + 1.869077940219344, + 1.8187508920933257, + 1.757733913647283, + 1.6871339623119326, + 1.60822002196511, + 1.522390661392505, + 1.4311390209771278, + 1.3360161046356738, + 1.2385932890181908, + 1.1404249743313621, + 1.0430122906069836, + 0.9477687401550268, + 0.8559886022123083, + 0.7688188508555901, + 0.6872352440227343, + 0.6120231323583857, + 0.5437634143421438, + 0.4828239318592546, + 0.42935646137087213, + 0.3832993136276469, + 0.34438541301413145, + 0.31215558966279044, + 0.2859766868816955, + 0.26506396645430685, + 0.24850718797714233, + 0.23529964823956437, + 0.22436939494625377, + 0.21461177759772482, + 0.20492246832810512, + 0.19423007766239006, + 0.18152750464977946, + 0.16590119724646493, + 0.14655755620107905, + 0.12284579255346531, + 0.09427664321858757, + 0.06053645857969406, + 0.021496297767545088, + -0.022784201743041625, + -0.07205827676068187, + -0.1258987705455795, + -0.18370996374788268, + -0.2447441899023239, + -0.3081227958543559, + -0.3728608933015575, + -0.4378952475671713, + -0.5021145663303921, + -0.5643913864516457, + -0.6236147129096253, + -0.6787225413545772, + -0.7287333954807945, + -0.7727760323731688, + -0.8101165126704617, + -0.8401818967470416, + -0.8625799115587771, + -0.8771140332594293, + -0.8837935456722474, + -0.8828382613298209, + -0.8746777269087955, + -0.859944875101085, + -0.8394642267625043, + -0.8142348869990049, + -0.7854087131684893, + -0.7542641582016821, + -0.7221764060030826, + -0.6905845141019777, + -0.6609563596699587, + -0.6347522464226801, + -0.6133880701786995, + -0.59819895888048, + -0.5904042981659982, + -0.5910750261528511, + -0.6011040315641124, + -0.6211804188409477, + -0.6517683141286937, + -0.6930907791500133, + -0.7451192785795017, + -0.8075690135630749, + -0.8799002927295478, + -0.961325965881207, + -1.05082479811249, + -1.1471605170175154, + -1.2489061264839205, + -1.354472950768632, + -1.4621437553234669, + -1.5701091890920265, + -1.6765067092670927, + -1.7794610858720397, + -1.8771255416123123, + -1.9677225633042852, + -2.0495834253408636, + -2.121185493037615, + -2.1811864236897143, + -2.2284544545750764, + -2.2620940582512206, + -2.28146635411718, + -2.2862037887207594, + -2.2762187326927763, + -2.2517057861977854, + -2.2131377339071423, + -2.161255241101003, + -2.0970505309297582, + -2.021745425503955, + -1.936764266868753, + -1.8437023548145037, + -1.7442906439461865, + -1.640357529926875, + -1.533788622211105, + -1.4264854462734056, + -1.3203240412275894, + -1.2171144182971871, + -1.1185618218796718, + -1.0262306885621488, + -0.941512131563391, + -0.8655956903917854, + -0.7994459801996577, + -0.7437847549892557, + -0.6990787664580193, + -0.6655336591235285, + -0.6430939959162623, + -0.6314493602692999, + -0.6300463345020736, + -0.6381060135696421, + -0.654646581466595, + -0.6785103579450374, + -0.7083946186322182, + -0.7428854046408804, + -0.7804934704399139, + -0.8196914726900953, + -0.8589514790149585, + -0.8967818747819916, + -0.9317627678578055, + -0.9625790353529863, + -0.9880502214194186, + -1.0071565795176074, + -1.0190606540718365, + -1.0231239124922666, + -1.0189180662252113, + -1.0062308555727197, + -0.9850662140742992, + -0.9556388707259014, + -0.9183635886534297, + -0.873839373550849, + -0.8228291108753167, + -0.7662352043341423, + -0.7050718867813021, + -0.6404349558244138, + -0.5734697482269153, + -0.5053382080641601, + -0.437185922573049, + -0.37010999629025115, + -0.3051286085327034, + -0.24315305222236056, + -0.18496298472153205, + -0.13118553546043904, + -0.0822788129052435, + -0.03852023744265374, + -3.3463697705270556e-16 + ], + [ + 0, + 0.03131719043329137, + 0.058042550565802424, + 0.08071144980067183, + 0.10000868852183063, + 0.11674760259132393, + 0.13184546069581263, + 0.1462958072887311, + 0.16113848496715658, + 0.17742813247826797, + 0.1962019965686942, + 0.21844791648172138, + 0.24507333852166224, + 0.2768761947440166, + 0.3145184350499024, + 0.35850293685881296, + 0.4091544327129204, + 0.46660499570964264, + 0.5307845080688659, + 0.6014164122779938, + 0.6780189102704849, + 0.7599116373397453, + 0.8462276974537392, + 0.9359308088387618, + 1.0278371766165035, + 1.1206415862437435, + 1.2129471006362396, + 1.3032976479772207, + 1.3902127087678486, + 1.4722232516932863, + 1.5479080298938863, + 1.6159293332666327, + 1.675067298951071, + 1.7242519110915817, + 1.7625918716709974, + 1.78939959549416, + 1.8042116725645876, + 1.8068042479713828, + 1.7972028903956803, + 1.7756866525095576, + 1.7427861666454907, + 1.6992757637276767, + 1.6461597490255837, + 1.5846531112318083, + 1.5161570781549623, + 1.4422300595733162, + 1.3645546323641378, + 1.284901322062008, + 1.2050900160390858, + 1.1269499045125873, + 1.0522788850302425, + 0.9828033829515972, + 0.9201395342738907, + 0.8657566480526866, + 0.8209438143098189, + 0.7867804509215672, + 0.7641114912728535, + 0.7535278056582223, + 0.7553523261379295, + 0.7696322098044627, + 0.796137232451187, + 0.834364456933167, + 0.8835490716604847, + 0.9426811482855008, + 1.010527927296555, + 1.0856611093230257, + 1.1664885116705352, + 1.2512893468111803, + 1.338252294741826, + 1.4255154763437439, + 1.5112073916857454, + 1.5934878666395147, + 1.6705880536924962, + 1.740848558358328, + 1.8027548104411006, + 1.8549688684047594, + 1.896356933513295, + 1.9260119560467461, + 1.9432708361498805, + 1.9477258537657882, + 1.9392301023968932, + 1.91789684667011, + 1.8840928702956061, + 1.8384260254062161, + 1.7817273329148773, + 1.7150281130467278, + 1.63953274243837, + 1.5565877363065364, + 1.4676479387079886, + 1.374240668817727, + 1.2779287149079417, + 1.180273089306438, + 1.0827964565916488, + 0.9869481237440534, + 0.894071435580231, + 0.805374352746501, + 0.7219039045531855, + 0.6445251071650241, + 0.573904821715719, + 0.5105008997201455, + 0.45455682792466673, + 0.4061019448653877, + 0.3649571604059448, + 0.3307459709304021, + 0.3029104301360567, + 0.28073161181470646, + 0.2633539897025896, + 0.24981306317992458, + 0.23906547869126338, + 0.23002083717823094, + 0.22157433901966508, + 0.21263940089000544, + 0.20217938395820392, + 0.18923759978426172, + 0.17296480840621287, + 0.1526434911922831, + 0.1277082673065077, + 0.09776192489058542, + 0.06258665368951213, + 0.02215019189813573, + -0.023393266725840814, + -0.07370742233583918, + -0.12828335445874547, + -0.18645388853323666, + -0.2474124608463046, + -0.3102359812180649, + -0.3739110876045443, + -0.4373630970765344, + -0.49948688567791305, + -0.5591788773108312, + -0.6153692903873071, + -0.6670537813494305, + -0.7133236365687174, + -0.7533936983094353, + -0.7866272655528564, + -0.8125572851739027, + -0.8309032413882425, + -0.8415832592483592, + -0.8447210585714199, + -0.8406475250160496, + -0.829896801825637, + -0.8131969455911991, + -0.7914553287430837, + -0.7657391068494304, + -0.7372511967644962, + -0.7073023289944103, + -0.6772798413537736, + -0.6486139684299355, + -0.622742450309178, + -0.6010743326641943, + -0.5849538573707969, + -0.5756253475643038, + -0.5741999732674533, + -0.5816252437870347, + -0.598658011902456, + -0.6258416939028155, + -0.6634883107112464, + -0.7116658410550621, + -0.7701912506750244, + -0.8386294250148129, + -0.9162980900345427, + -1.0022786602535438, + -1.0954328084263518, + -1.1944244109578337, + -1.2977463907317381, + -1.403751857738922, + -1.5106888407548955, + -1.6167378129953094, + -1.720051143428895, + -1.8187935550386687, + -1.911182643074413, + -1.995528500969086, + -2.0702715192749426, + -2.1340174633226314, + -2.1855689973709014, + -2.223952905316489, + -2.2484423585942195, + -2.2585736982895916, + -2.2541573278923415, + -2.2352824524018313, + -2.2023155452718894, + -2.1558925734117733, + -2.096905158525562, + -2.0264809968746293, + -1.9459589955906518, + -1.8568597086440348, + -1.760851766450002, + -1.6597150871831974, + -1.5553017328945513, + -1.4494953276726044, + -1.3441699870688155, + -1.2411497170592634, + -1.1421692267531136, + -1.0488370622567977, + -0.962601910494292, + -0.8847228428340242, + -0.8162441710450666, + -0.7579754748096722, + -0.7104772335559478, + -0.6740523588614976, + -0.6487437804767745, + -0.6343380926444239, + -0.6303751214389265, + -0.6361631318932642, + -0.6507992591846865, + -0.6731946243982752, + -0.7021034853815225, + -0.7361556796072818, + -0.773891541027025, + -0.8137984184068242, + -0.8543478898710277, + -0.8940327580693543, + -0.9314029227110242, + -0.9650992617921359, + -0.9938847087473024, + -1.0166717885235386, + -1.0325459692547603, + -1.040784295419075, + -1.0408688903181873, + -1.0324950473474561, + -1.0155737675113619, + -0.9902287415159744, + -0.9567879150066543, + -0.9157699116081583, + -0.8678657169689635, + -0.8139161448106492, + -0.7548857101100611, + -0.6918336224181503, + -0.6258826817773537, + -0.5581869090373586, + -0.48989877039206675, + -0.42213686201038464, + -0.35595490460437373, + -0.2923128601190195, + -0.23205092443021036, + -0.17586707251101247, + -0.12429873795958164, + -0.07770909949365003, + -0.036278325793204794, + -3.144430334616951e-16 + ], + [ + 0, + 0.029357104468849406, + 0.054422033809318565, + 0.0758009984268642, + 0.09423711191783193, + 0.11058764322673498, + 0.12579796018196346, + 0.1408728573424789, + 0.15684603078394335, + 0.1747485126573812, + 0.195576907773947, + 0.22026228233548625, + 0.24964054101439903, + 0.28442509320819864, + 0.32518255331507284, + 0.372312144677102, + 0.4260293842831992, + 0.4863545177189715, + 0.5531060538817383, + 0.6258996196470361, + 0.704152219219115, + 0.7870918447225772, + 0.8737722471701201, + 0.9630925437347083, + 1.05382121162689, + 1.1446239040098114, + 1.234094422193659, + 1.3207880934195715, + 1.4032567370519118, + 1.4800843556726349, + 1.5499226626385865, + 1.6115255548175504, + 1.6637816586084913, + 1.7057441185694993, + 1.7366568600728363, + 1.7559766389089664, + 1.7633902897133071, + 1.758826699096321, + 1.742463155646063, + 1.7147258644585357, + 1.6762845552166754, + 1.6280412566124098, + 1.5711134525497408, + 1.5068119735629086, + 1.4366141068223022, + 1.3621325267642763, + 1.2850807528235282, + 1.2072359283674197, + 1.1303997835395716, + 1.0563586925884174, + 0.9868437621659604, + 0.9234918903512331, + 0.8678087166563129, + 0.8211343414429941, + 0.7846126299974407, + 0.7591648334852245, + 0.7454681581353708, + 0.7439397977141805, + 0.7547268154622648, + 0.7777021233067892, + 0.8124666616846995, + 0.8583577362324047, + 0.9144633214888891, + 0.9796420001753813, + 1.052548072998295, + 1.131661251520895, + 1.215320238435936, + 1.3017594081716954, + 1.389147728389544, + 1.4756290113292905, + 1.5593625543645013, + 1.6385632222416922, + 1.7115400394341316, + 1.7767323994240363, + 1.8327430575674963, + 1.8783671540011357, + 1.9126166108375995, + 1.9347393612484456, + 1.9442329941507195, + 1.9408525339892786, + 1.9246122172022295, + 1.8957812718815727, + 1.8548738513430445, + 1.802633412269194, + 1.7400119603706108, + 1.6681447078998255, + 1.588320794903386, + 1.5019508172098672, + 1.4105319766358588, + 1.3156117210236487, + 1.2187507722851605, + 1.1214864489344687, + 1.0252971755155869, + 0.9315690352974373, + 0.8415651655808493, + 0.7563987184290036, + 0.6770100155582223, + 0.6041484169080931, + 0.5383593008159752, + 0.47997642282054664, + 0.42911978320633803, + 0.38569899391251017, + 0.34942199685808445, + 0.319808851545038, + 0.2962101833367169, + 0.27782976821840316, + 0.2637506279981153, + 0.2529639243181158, + 0.2443998726288808, + 0.23695985007115422, + 0.2295488451577575, + 0.22110739285216666, + 0.2106421561658516, + 0.1972543542532979, + 0.18016529614976717, + 0.15873835724004184, + 0.13249683026433662, + 0.10113719173765681, + 0.06453744529976344, + 0.02276033265382959, + -0.023948662889954186, + -0.07516845908658028, + -0.13031446795404816, + -0.18865531436181354, + -0.24933373378238946, + -0.311391093314184, + -0.3737948846351981, + -0.435468458745353, + -0.495322212211903, + -0.5522853946903052, + -0.6053376887871212, + -0.6535397163624413, + -0.696061650090797, + -0.7322091549190693, + -0.7614459498532318, + -0.7834123646449913, + -0.7979393663426955, + -0.8050576448152045, + -0.805001471400009, + -0.7982071776371064, + -0.7853062382967239, + -0.7671130811436618, + -0.7446078816243482, + -0.7189147304911421, + -0.6912756830095622, + -0.6630213067693349, + -0.6355384384808878, + -0.6102359360961219, + -0.5885092691861702, + -0.5717048262590045, + -0.5610848316420962, + -0.5577937562671893, + -0.5628270763056771, + -0.577003181794527, + -0.6009391653787428, + -0.6350311307964424, + -0.6794395539293054, + -0.7340801087261976, + -0.7986202390189341, + -0.8724816183975044, + -0.9548484973030085, + -1.0446817928455134, + -1.1407386360997083, + -1.2415969572485568, + -1.3456845642574258, + -1.4513120588605424, + -1.5567088373099096, + -1.6600613449767767, + -1.7595526954735636, + -1.8534027279561918, + -1.939907561627458, + -2.017477714595715, + -2.0846738849956608, + -2.1402395449404468, + -2.183129571197485, + -2.212534228708715, + -2.2278979319870253, + -2.2289323323818317, + -2.215623413239044, + -2.188232416831492, + -2.1472905731597978, + -2.0935877477664113, + -2.02815526999155, + -1.9522433411207758, + -1.8672935502740104, + -1.7749071415451736, + -1.6768097760126364, + -1.5748136143769704, + -1.4707776081584831, + -1.3665669281070134, + -1.2640124767709942, + -1.1648714276215313, + -1.0707897058708051, + -0.9832672768584471, + -0.9036270378394049, + -0.83298801993467, + -0.7722435011096459, + -0.7220445109400355, + -0.682789076574317, + -0.6546174199380843, + -0.6374131722740398, + -0.6308105271039999, + -0.6342071101877645, + -0.6467822085219567, + -0.6675198731998625, + -0.695236296135311, + -0.7286107610217935, + -0.7662193868546331, + -0.806570819851755, + -0.8481429881435738, + -0.8894200141177571, + -0.9289283822074831, + -0.9652714850549866, + -0.9971617176674595, + -1.0234493561800089, + -1.043147543418652, + -1.0554528054273422, + -1.0597606388959744, + -1.0556758360734368, + -1.0430173480793854, + -1.0218176261646645, + -0.9923165199373306, + -0.9549499483801248, + -0.9103336902206252, + -0.8592427616206403, + -0.8025869582097614, + -0.7413832324969301, + -0.676725654332933, + -0.6097537594841408, + -0.5416201281178099, + -0.47345805021566895, + -0.406350128290711, + -0.3412986394965149, + -0.2791984300466248, + -0.22081304608500207, + -0.16675471854037363, + -0.11746871727652969, + -0.07322247462777849, + -0.034099753119032745, + -2.95030922528004e-16 + ], + [ + 0, + 0.027511753887494262, + 0.05106158821570343, + 0.07131934510739277, + 0.08907832814857267, + 0.1052309456719284, + 0.12074146381798634, + 0.13661659545824378, + 0.15387470901486913, + 0.17351447910535964, + 0.1964838177967366, + 0.22364992062082156, + 0.2557712354690887, + 0.2934721156807031, + 0.3372208522123738, + 0.38731169538035826, + 0.44385137639442496, + 0.5067505252637428, + 0.5757202574882976, + 0.6502740703680502, + 0.7297350540685485, + 0.8132482861878589, + 0.8997981449109433, + 0.9882301482873986, + 1.0772768089535456, + 1.1655868877399926, + 1.2517573387578809, + 1.3343671650682571, + 1.4120123498074193, + 1.4833409940882711, + 1.5470877810323442, + 1.6021068952817195, + 1.64740255912078, + 1.6821563991879482, + 1.7057509304349252, + 1.7177885347572488, + 1.7181054183838458, + 1.7067801520835848, + 1.6841365285967738, + 1.650740609238337, + 1.6073919729713733, + 1.5551093229374016, + 1.4951107439598612, + 1.4287890364877032, + 1.3576826745498363, + 1.2834430445179092, + 1.207798715106512, + 1.1325175647368488, + 1.059367648250876, + 0.9900777195713809, + 0.9262983393632422, + 0.8695644867099847, + 0.8212605614765344, + 0.7825886101324712, + 0.7545405336368874, + 0.7378749433137044, + 0.7330992217068815, + 0.7404572228319474, + 0.7599229130032529, + 0.7912001127484587, + 0.8337283556400501, + 0.8866947346952526, + 0.949051464851058, + 1.0195387543674124, + 1.09671245214769, + 1.1789758249506184, + 1.264614721046316, + 1.351835297403146, + 1.4388034279039537, + 1.5236848718138654, + 1.6046852656700372, + 1.6800890083028976, + 1.7482961376429125, + 1.8078563485814176, + 1.8574993721735642, + 1.896161026132082, + 1.923004352643493, + 1.9374353794252028, + 1.9391131706783864, + 1.927953972962708, + 1.9041294036259073, + 1.8680587727680382, + 1.8203957702975067, + 1.762009884009836, + 1.6939630395148366, + 1.6174820652180224, + 1.533927682706228, + 1.4447608024556446, + 1.3515069648707942, + 1.2557198058589567, + 1.1589444435483442, + 1.0626816780131363, + 0.9683538691660887, + 0.8772733100547019, + 0.7906138449088889, + 0.7093863951876852, + 0.6344189547588107, + 0.5663414998091112, + 0.5055761330454195, + 0.4523326483775094, + 0.4066095649269388, + 0.3682005413180572, + 0.3367059462270856, + 0.3115492324588115, + 0.29199764259101524, + 0.277186667434416, + 0.2661475868436308, + 0.2578373480434037, + 0.25116998142678953, + 0.24504871907752077, + 0.23839796789073467, + 0.2301942974018027, + 0.21949563202646782, + 0.20546788757550183, + 0.18740836132639607, + 0.164765271823806, + 0.1371529467126559, + 0.10436227167491655, + 0.06636613801938104, + 0.02331975749722336, + -0.024444152844127827, + -0.0764251789083494, + -0.1319697435844504, + -0.19028997570414538, + -0.25048640955020546, + -0.31157390995932727, + -0.37251013296078006, + -0.4322257644403004, + -0.48965573124184136, + -0.5437705516548824, + -0.5936069861008297, + -0.63829716421021, + -0.6770954010132464, + -0.7094019717572649, + -0.7347831905114692, + -0.7529872303433996, + -0.7639552301424343, + -0.767827352442916, + -0.7649435848764163, + -0.7558392119419685, + -0.741235020257106, + -0.722022435906564, + -0.6992439235248565, + -0.6740691000228035, + -0.6477671282735321, + -0.6216760547532239, + -0.5971698375659252, + -0.5756238753508398, + -0.5583798916093264, + -0.5467110518289557, + -0.5417881917802324, + -0.5446480144185144, + -0.5561640703856613, + -0.5770212741555055, + -0.6076946258991445, + -0.648432710131165, + -0.6992464285348813, + -0.759903298820927, + -0.8299275171173194, + -0.9086058415140891, + -0.9949992124285296, + -1.087959884914545, + -1.1861537123798545, + -1.2880870937529119, + -1.3921379801156886, + -1.496590235072148, + -1.59967055819263, + -1.6995871148873014, + -1.7945689706827226, + -1.8829054042635998, + -1.9629841724235266, + -2.0333278213207535, + -2.09262718168268, + -2.1397712498302996, + -2.1738727400687052, + -2.1942886951018754, + -2.2006356572386596, + -2.1927990314519707, + -2.1709364087239127, + -2.1354747612204332, + -2.0871015662123393, + -2.02675005976049, + -1.955578960506983, + -1.874947135072949, + -1.786383796367904, + -1.6915549316553202, + -1.5922267459324224, + -1.4902269759206777, + -1.3874049790436935, + -1.2855915290142863, + -1.1865592544210317, + -1.0919846389051866, + -1.0034124616148148, + -0.9222234956162266, + -0.8496062013533213, + -0.7865330540705233, + -0.7337420307809198, + -0.691723656662835, + -0.6607138757994439, + -0.6406928702548579, + -0.6313898080638606, + -0.6322933583150621, + -0.6426676736109695, + -0.6615734101585359, + -0.6878932367453477, + -0.720361178777294, + -0.7575950549315629, + -0.7981311939416954, + -0.8404605692435871, + -0.883065460833086, + -0.9244557473468822, + -0.9632039471606273, + -0.9979781647377828, + -1.027572156558377, + -1.0509318081996204, + -1.0671774085487529, + -1.0756212162995713, + -1.0757799350544077, + -1.0673818434663733, + -1.0503684626413072, + -1.0248907810695622, + -0.9913001942197132, + -0.9501344481827015, + -0.9020990011100722, + -0.848044329552996, + -0.7889398063693582, + -0.7258448601646197, + -0.6598781912204132, + -0.5921858639568712, + -0.5239091200859479, + -0.45615275918639714, + -0.38995491445097424, + -0.32625901134816093, + -0.2658886369567434, + -0.20952596932520265, + -0.15769432139381367, + -0.1107452452203799, + -0.06885052224549795, + -0.031999237174682324, + -2.7652536647843447e-16 + ], + [ + 0, + 0.025791541259194205, + 0.047978247754828895, + 0.06728594691622014, + 0.08454971832054753, + 0.10068818135620528, + 0.11667532656556624, + 0.13351064271111907, + 0.15218833758301153, + 0.1736664761084517, + 0.198836863766356, + 0.2284964865173637, + 0.2633212808278924, + 0.3038429498203914, + 0.35042946554578913, + 0.40326980474066276, + 0.46236335851312277, + 0.5275143378724698, + 0.5983313698485917, + 0.6742323463299317, + 0.7544544530176749, + 0.8380691724414269, + 0.9240019261749997, + 1.0110559004866975, + 1.0979394897217651, + 1.183296695542027, + 1.2657397401972197, + 1.3438830903315118, + 1.4163780460424988, + 1.4819470291206847, + 1.5394167051958536, + 1.5877490969566166, + 1.6260698892054388, + 1.6536931902506435, + 1.6701420965024643, + 1.6751645061493852, + 1.6687437410424844, + 1.6511036606494367, + 1.6227080851051725, + 1.5842544827160323, + 1.5366620173668268, + 1.481054189682548, + 1.4187364390900268, + 1.3511691988105299, + 1.2799370091934799, + 1.2067143938538658, + 1.1332292853287627, + 1.0612248503586543, + 0.9924206078247496, + 0.9284737537330108, + 0.8709416068568908, + 0.8212460657046012, + 0.7806409228791407, + 0.7501828176982075, + 0.730706523691978, + 0.7228051663239982, + 0.7268158504282438, + 0.7428110492277303, + 0.7705959704917059, + 0.8097119737092442, + 0.8594459685503467, + 0.9188455828435586, + 0.9867397512770515, + 1.0617642473610744, + 1.1423915640030267, + 1.2269644451903, + 1.3137322852475897, + 1.4008895450196956, + 1.4866152877485133, + 1.5691129124827083, + 1.6466491601665654, + 1.7175914871440592, + 1.7804429421809773, + 1.833873745216135, + 1.8767488473585185, + 1.9081508501381492, + 1.9273977752635718, + 1.934055301347566, + 1.9279432181559955, + 1.9091359886186294, + 1.8779574506906185, + 1.8349698316955563, + 1.7809573835812027, + 1.7169050752646746, + 1.6439728948276586, + 1.5634664169169274, + 1.4768043768346055, + 1.3854840604004757, + 1.2910453661309818, + 1.1950344225026721, + 1.0989676474749392, + 1.0042971200019142, + 0.9123780944706704, + 0.8244394298944376, + 0.7415576277977062, + 0.6646350780504091, + 0.5943830028469242, + 0.5313094683415976, + 0.47571270418634537, + 0.4276798366153766, + 0.387091004160217, + 0.35362868996921865, + 0.3267919744206378, + 0.3059152895001165, + 0.29019114529727025, + 0.2786962017136355, + 0.27041997746528007, + 0.2642954256966317, + 0.259230562525994, + 0.25414031264820347, + 0.24797773523344588, + 0.2397638137555439, + 0.2286150344963728, + 0.21376803922423493, + 0.19460071636013326, + 0.17064918980160543, + 0.14162027304307528, + 0.10739907554809965, + 0.06805157545571505, + 0.023822104409075118, + -0.024874176764776344, + -0.0774636019936124, + -0.13323078864330606, + -0.19133943936651643, + -0.25085660043301405, + -0.31077972902399054, + -0.3700658477201122, + -0.4276620086353482, + -0.48253625377430265, + -0.5337082431476219, + -0.5802787283717831, + -0.6214570767749705, + -0.6565860987673506, + -0.6851634982339186, + -0.7068593503070619, + -0.7215291109653601, + -0.7292217759835244, + -0.7301829299946461, + -0.7248525567289794, + -0.7138576155904102, + -0.6979995242482503, + -0.6782368184677557, + -0.6556633856554512, + -0.6314827843842937, + -0.6069792655486606, + -0.5834861991446396, + -0.5623526817122363, + -0.5449091513757983, + -0.532432868814001, + -0.5261141325270854, + -0.5270240851232911, + -0.5360849342348158, + -0.5540433578476534, + -0.5814477905580181, + -0.6186301963059095, + -0.6656928266824358, + -0.7225003445504856, + -0.7886775633724729, + -0.8636129164730729, + -0.9464676308237723, + -1.0361904402577244, + -1.1315375367541662, + -1.2310973289407463, + -1.3333194574588645, + -1.4365474102892661, + -1.539053990198381, + -1.6390788134149092, + -1.7348669653188482, + -1.8247079066784542, + -1.9069737136428155, + -1.9801557465915056, + -2.042898876813441, + -2.0940324550504443, + -2.1325972808916887, + -2.1578679250471993, + -2.169369865421365, + -2.1668910200182716, + -2.150487392081545, + -2.12048268228982, + -2.077461865908076, + -2.0222588760563665, + -1.9559386742164693, + -1.8797741223489268, + -1.7952181942968564, + -1.7038721745105387, + -1.6074505868574007, + -1.507743673087505, + -1.4065782975462786, + -1.3057781905901642, + -1.20712445701212, + -1.1123172673069348, + -1.0229396190320057, + -0.9404240036203566, + -0.8660227420731198, + -0.8007826627818975, + -0.7455246885360828, + -0.7008287801755332, + -0.6670245542982902, + -0.6441877551232718, + -0.6321426194083595, + -0.6304700316951822, + -0.638521228557586, + -0.6554366783553623, + -0.6801696404580002, + -0.7115137979815487, + -0.7481342634351171, + -0.7886011795800845, + -0.8314250801056015, + -0.875093137776194, + -0.9181054123542507, + -0.9590102171490762, + -0.9964377512599706, + -1.0291311936930014, + -1.055974524253114, + -1.076016422676036, + -1.0884896996596711, + -1.0928258286920591, + -1.0886642729434113, + -1.0758564338391585, + -1.0544641839387252, + -1.0247530830066478, + -0.9871805092753312, + -0.9423790645450546, + -0.8911357287976595, + -0.8343673445134525, + -0.7730931002924567, + -0.7084047554900603, + -0.6414354006195255, + -0.5733275809661329, + -0.5052016224288627, + -0.43812498881474415, + -0.3730834689542021, + -0.31095494090701736, + -0.25248639051908545, + -0.1982747744748168, + -0.14875221600167737, + -0.10417590712613226, + -0.06462296776515798, + -0.029990382108295813, + -2.5903917580592635e-16 + ], + [ + 0, + 0.024205364691566793, + 0.04518584463214115, + 0.0637152532698713, + 0.08066183042247901, + 0.09696143466361766, + 0.11358872435586936, + 0.13152709805890148, + 0.15173819892631218, + 0.17513180097256764, + 0.20253688738572398, + 0.23467470255403722, + 0.2721345108608503, + 0.31535272778499435, + 0.36459600410315657, + 0.41994874414142824, + 0.48130542656342656, + 0.5483679739304421, + 0.6206482882935481, + 0.6974759376209037, + 0.7780108452605741, + 0.8612607052345469, + 0.9461027232234623, + 1.0313091697481418, + 1.115576131163405, + 1.19755475822584, + 1.2758842433830813, + 1.3492257083342065, + 1.4162961541343044, + 1.4759016179616828, + 1.526968693908868, + 1.5685736095409906, + 1.5999681047024499, + 1.6206014328515277, + 1.6301378962922397, + 1.6284694328487028, + 1.6157228902053795, + 1.5922617524162241, + 1.5586822178218782, + 1.5158036654943472, + 1.4646536849557292, + 1.4064479778930652, + 1.342565567599711, + 1.2745198687648873, + 1.2039262741002865, + 1.1324670025450057, + 1.0618540242166072, + 0.9937909281012316, + 0.9299346284033386, + 0.8718578137220628, + 0.8210130295346446, + 0.778699249134966, + 0.746031732016595, + 0.7239158930367706, + 0.7130258123629256, + 0.7137879074348671, + 0.7263701666027738, + 0.7506772126693588, + 0.7863513264634978, + 0.8327794191577064, + 0.8891058007516857, + 0.9542504544157309, + 1.0269323955726366, + 1.1056975738773918, + 1.1889506685667834, + 1.2749900356132156, + 1.3620449909623955, + 1.4483145596592024, + 1.532006787182831, + 1.6113776976212406, + 1.6847689936799812, + 1.750643625667643, + 1.80761840972022, + 1.8544929482988384, + 1.8902741966177392, + 1.9141961248951054, + 1.9257340455512446, + 1.9246133037738884, + 1.9108121660540462, + 1.8845588810275886, + 1.8463230268163013, + 1.796801395627915, + 1.7368987963154265, + 1.6677042757481428, + 1.5904633672937223, + 1.50654706685357, + 1.4174183115172458, + 1.3245967912253114, + 1.2296229585543783, + 1.1340221150744219, + 1.0392694444180344, + 0.9467568325213574, + 0.8577622652518724, + 0.7734225241415763, + 0.6947098139811949, + 0.6224128538177597, + 0.5571228480219045, + 0.49922462945026597, + 0.44889313545496984, + 0.4060952428774716, + 0.3705968535746412, + 0.34197499081940924, + 0.31963454236368827, + 0.30282917114149194, + 0.290685812369706, + 0.28223208869688704, + 0.2764259051980555, + 0.27218643512134316, + 0.2684256765884248, + 0.2640797506548907, + 0.25813912244393594, + 0.24967695914213534, + 0.23787489063429929, + 0.22204550910122117, + 0.20165103119110414, + 0.17631764816530268, + 0.14584520311261243, + 0.11021195702731727, + 0.06957433413433387, + 0.024261668053791517, + -0.025233899102955894, + -0.07827208613410493, + -0.1340833128215963, + -0.19179120385702492, + -0.2504381538190878, + -0.3090132698821822, + -0.36648194592288746, + -0.4218162777940962, + -0.4740255058828669, + -0.5221856682754286, + -0.5654676660140474, + -0.6031629806104114, + -0.634706342226774, + -0.659694723303557, + -0.677902124996925, + -0.6892897302784367, + -0.6940111152746052, + -0.69241233643451, + -0.6850268422428744, + -0.6725652911456135, + -0.6559004887742369, + -0.6360477841271067, + -0.6141413828870418, + -0.5914071435196321, + -0.5691325154691238, + -0.5486343562529351, + -0.5312254235557864, + -0.518180377994336, + -0.5107021510067177, + -0.5098895297788749, + -0.516706787242029, + -0.5319561404856863, + -0.5562537564706032, + -0.5900099412328191, + -0.6334140498368598, + -0.6864245415652094, + -0.7487644809732557, + -0.819922653525983, + -0.8991603278037194, + -0.9855235580843266, + -1.0778607848869086, + -1.1748453601647257, + -1.2750025015053301, + -1.3767400689723293, + -1.4783824618621366, + -1.5782068530599542, + -1.6744809178612474, + -1.7655011736183062, + -1.8496310274203092, + -1.925337631737966, + -1.9912266725434962, + -2.0460742602979485, + -2.088855160301616, + -2.1187666836529413, + -2.1352476614197022, + -2.1379920401477848, + -2.1269567637210143, + -2.1023637417636176, + -2.0646958449620634, + -2.014687009467964, + -1.9533066724799235, + -1.881738895784925, + -1.8013566601919326, + -1.7136919283430836, + -1.6204021735555223, + -1.5232341556968239, + -1.4239857896079056, + -1.3244669956998636, + -1.2264604450057794, + -1.1316831116315045, + -1.0417495242260757, + -0.9581375653255977, + -0.8821576042828737, + -0.8149256675448787, + -0.7573412513068968, + -0.7100702684904046, + -0.6735334973454348, + -0.647900765830073, + -0.6330909675381667, + -0.6287778647221656, + -0.6344014953225593, + -0.6491848672547429, + -0.672155497776508, + -0.7021712416141405, + -0.737949751428415, + -0.7781008305682756, + -0.8211608728935659, + -0.865628539293628, + -0.9100007964329797, + -0.9528084407440186, + -0.9926502497503802, + -1.0282249429002164, + -1.0583601941544154, + -1.082038017056158, + -1.0984159378985638, + -1.1068434814966142, + -1.1068736142071143, + -1.098268917201482, + -1.0810023963586197, + -1.0552529701698712, + -1.0213958103619591, + -0.9799878382236488, + -0.9317487996773575, + -0.8775384509894356, + -0.8183304819698943, + -0.7551838822339829, + -0.6892125166547002, + -0.6215537170559565, + -0.5533367175035908, + -0.4856517597872102, + -0.41952067391995645, + -0.3558696963129198, + -0.2955052268143845, + -0.2390931466326744, + -0.18714222431934585, + -0.13999202890289011, + -0.09780565068803666, + -0.06056740419028196, + -0.028085557362607958, + -2.426722884850381e-16 + ], + [ + 0, + 0.022760551419522858, + 0.042694920401441745, + 0.06061664076525602, + 0.0774183847252703, + 0.09404432470479786, + 0.11146093537062365, + 0.1306270180163479, + 0.1524637512232533, + 0.17782557291169934, + 0.20747267941501976, + 0.24204588753233908, + 0.28204454662648715, + 0.32780811119287934, + 0.37950189184780525, + 0.4371073966836973, + 0.5004175580714875, + 0.5690370151896804, + 0.6423874929636743, + 0.7197181869697591, + 0.8001209345026444, + 0.882549827690982, + 0.9658448084192608, + 1.0487586798244164, + 1.1299868779558666, + 1.2081992721526433, + 1.2820732057354436, + 1.3503269512218659, + 1.4117527374507837, + 1.465248510236604, + 1.5098476134314518, + 1.5447456229942813, + 1.5693236317805916, + 1.5831673657195846, + 1.5860816108345859, + 1.5780995427865832, + 1.5594866735396464, + 1.5307392603490726, + 1.4925771573491544, + 1.4459312262403345, + 1.3919255565822148, + 1.331854874674081, + 1.267157639762689, + 1.199385434380916, + 1.1301693492969258, + 1.0611841404966331, + 0.9941109938969735, + 0.9305997716136393, + 0.8722316305986643, + 0.8204828998530751, + 0.7766910762706501, + 0.742023752073943, + 0.7174512198708163, + 0.7037234161866166, + 0.7013517629599889, + 0.7105963513762432, + 0.7314587863371346, + 0.7636808758876854, + 0.8067492112930831, + 0.8599055435519175, + 0.922162724349403, + 0.9923258471491264, + 1.0690181005142145, + 1.1507107338469926, + 1.2357564382620603, + 1.3224253646301891, + 1.4089429389071344, + 1.4935285931903253, + 1.574434510529726, + 1.6499834828374658, + 1.7186050042438203, + 1.7788687663517928, + 1.8295147859511134, + 1.8694794782771418, + 1.8979170878039102, + 1.9142160014070968, + 1.918009592746682, + 1.9091813788550915, + 1.8878644069337938, + 1.8544349279043075, + 1.8095005499400916, + 1.753883196687503, + 1.688597317963652, + 1.6148239124058876, + 1.5338810191369925, + 1.4471914166494813, + 1.3562483298589418, + 1.2625799891453389, + 1.1677139072003353, + 1.0731417401541024, + 0.9802855788201308, + 0.8904664745514662, + 0.8048759432373908, + 0.7245511119601012, + 0.6503540777939862, + 0.582955939575994, + 0.5228258439471251, + 0.4702252595685274, + 0.4252075613463167, + 0.38762287306089155, + 0.35712798532019097, + 0.33320103951629954, + 0.3151605505980255, + 0.30218823489988045, + 0.29335501662342806, + 0.28764951013038065, + 0.2840082168483526, + 0.2813466367243896, + 0.27859047571232715, + 0.274706133158639, + 0.2687296760459827, + 0.2597935502331238, + 0.24715034096007757, + 0.230192974359981, + 0.2084708464923448, + 0.18170147406214232, + 0.14977737877049827, + 0.11276804215831072, + 0.07091689667985875, + 0.02463344830774904, + -0.025519247063353182, + -0.0788414099985534, + -0.13451721101620037, + -0.19163873499788234, + -0.24923259408686552, + -0.3062884768932502, + -0.36178887032577167, + -0.41473915844365067, + -0.4641972911909656, + -0.5093022250508416, + -0.5493003673262923, + -0.5835693051910319, + -0.6116381686310955, + -0.6332040612225563, + -0.6481440922420184, + -0.6565226553920224, + -0.6585937206388834, + -0.6547980332608625, + -0.6457552449799343, + -0.6322511327058165, + -0.6152201876590597, + -0.595723978243126, + -0.5749258009469066, + -0.5540622319587577, + -0.5344122755488471, + -0.5172648714872874, + -0.5038855710948416, + -0.49548321872297285, + -0.4931774817826523, + -0.49796805765857344, + -0.5107063502543866, + -0.5320703533323563, + -0.5625434035539851, + -0.6023973749810476, + -0.6516807809676122, + -0.7102121314414828, + -0.7775787664228795, + -0.8531412533791911, + -0.936043299945504, + -1.025226998007185, + -1.1194530834919996, + -1.2173257717162438, + -1.3173216138628596, + -1.417821718983739, + -1.5171466003406056, + -1.613592837075854, + -1.7054706938503648, + -1.791141813435338, + -1.8690560910297858, + -1.9377868544967327, + -1.9960635114406289, + -2.0428008812328424, + -2.077124506374471, + -2.0983913311387536, + -2.1062052440049714, + -2.100427101357996, + -2.081178980351182, + -2.0488425455497454, + -2.004051553664942, + -1.9476786599589206, + -1.8808168253573965, + -1.8047557516553436, + -1.7209538903160926, + -1.6310066753726309, + -1.5366117202877745, + -1.4395317901481846, + -1.341556412521909, + -1.2444630214468388, + -1.1499785385942312, + -1.0597422834516992, + -0.9752710707115133, + -0.8979272987750696, + -0.8288907597411417, + -0.7691348102508964, + -0.7194074363608918, + -0.6802176268201352, + -0.6518273406582045, + -0.6342492200012486, + -0.6272500608296864, + -0.6303599163581418, + -0.642886573226923, + -0.6639350130253527, + -0.6924313539269542, + -0.7271506622613912, + -0.766747934214541, + -0.80979147569059, + -0.8547978554072079, + -0.9002675737692829, + -0.9447205787136308, + -0.9867307697470342, + -1.024958662495626, + -1.0581814374059557, + -1.0853196664513345, + -1.1054600989985666, + -1.1178739901597923, + -1.1220305694069692, + -1.1176053710787401, + -1.1044832785510446, + -1.082756267013589, + -1.052715962666797, + -1.0148412654150856, + -0.9697814045663328, + -0.9183349096161513, + -0.8614250781126767, + -0.8000726073990151, + -0.7353661246346174, + -0.6684313982560665, + -0.6004000427792617, + -0.5323785368992497, + -0.4654183620609745, + -0.4004880354265395, + -0.3384477583377212, + -0.2800273303420719, + -0.2258078914477592, + -0.17620795373630502, + -0.13147407038648526, + -0.09167636842672085, + -0.05670904423297804, + -0.026295791157512377, + -2.275109573175131e-16 + ], + [ + 0, + 0.02146280887520123, + 0.04051267303890868, + 0.05799440251635442, + 0.07481635131923464, + 0.09192221502669667, + 0.11026172233153315, + 0.13076100685938946, + 0.1542934554023296, + 0.18165181811000283, + 0.21352233540143417, + 0.2504615861562493, + 0.29287669336389544, + 0.3410094385599281, + 0.3949247371828461, + 0.4545038159298876, + 0.5194423130636927, + 0.589253396443808, + 0.6632758650040209, + 0.7406870707221666, + 0.820520373082699, + 0.9016867197779452, + 0.9829998389308356, + 1.0632044322094638, + 1.1410066772923948, + 1.2151062843128604, + 1.2842293058164262, + 1.3471608746017794, + 1.4027770392741916, + 1.4500748836084354, + 1.4882001525563786, + 1.5164716640967146, + 1.5344018607721104, + 1.5417129458958796, + 1.5383481548252704, + 1.5244778288206149, + 1.5005000849714467, + 1.4670360073785673, + 1.424919418992036, + 1.3751814269067184, + 1.3190300632098582, + 1.2578254654540593, + 1.1930511524629657, + 1.12628204968432, + 1.0591500012225772, + 0.9933075709276926, + 0.9303909808365372, + 0.8719830606804327, + 0.8195770864111288, + 0.7745423686029758, + 0.738092413530434, + 0.7112564215826053, + 0.6948548108403662, + 0.6894793599477805, + 0.6954784561151732, + 0.7129478138145119, + 0.7417269003833049, + 0.7814011694807924, + 0.831310065427421, + 0.8905606242600567, + 0.9580463641903955, + 1.0324710323038477, + 1.1123766588452573, + 1.1961752681170426, + 1.2821835083542608, + 1.368659394045533, + 1.4538403047096766, + 1.5359813553104014, + 1.6133932459844027, + 1.684478712739861, + 1.7477667358926516, + 1.8019437183716567, + 1.8458809202701165, + 1.8786575273149884, + 1.8995788370219124, + 1.9081891645907871, + 1.9042791981716294, + 1.8878876668633466, + 1.8592973214241642, + 1.8190253638299596, + 1.7678085941909225, + 1.706583668901082, + 1.636462979200656, + 1.5587067617818993, + 1.474692140190906, + 1.3858798654783537, + 1.2937795751726566, + 1.1999144200043412, + 1.1057859172179545, + 1.0128398776032501, + 0.9224342209184972, + 0.8358094420354003, + 0.7540624192671622, + 0.6781241687640656, + 0.6087420467995016, + 0.546466787803245, + 0.4916446429959592, + 0.4444147555264333, + 0.4047117763376975, + 0.3722735938778098, + 0.3466539234919126, + 0.3272393820476301, + 0.3132705630385067, + 0.30386652980691736, + 0.2980520620331293, + 0.29478692527292555, + 0.2929963866821617, + 0.2916021732613395, + 0.2895530626065026, + 0.2858543103707818, + 0.2795951530144092, + 0.2699736780357887, + 0.2563184253366901, + 0.23810617083902127, + 0.21497544469775984, + 0.18673544885975152, + 0.15337015943867977, + 0.11503752534323096, + 0.07206380260999116, + 0.024933190707153934, + -0.02572694052575496, + -0.07916482975574123, + -0.13452660085440854, + -0.19088143804645308, + -0.24724898416382896, + -0.30262822801394546, + -0.3560271070456501, + -0.40649203151481966, + -0.45313653673277965, + -0.49516829073325297, + -0.5319137253118789, + -0.5628396178701983, + -0.5875710283515115, + -0.6059050878682138, + -0.6178202410768803, + -0.6234806603130959, + -0.6232356730395228, + -0.6176141721802075, + -0.6073141081862923, + -0.5931872889417072, + -0.5762198356550433, + -0.5575087566044562, + -0.5382352031176618, + -0.5196350608658515, + -0.5029676021563817, + -0.4894829795504516, + -0.4803893763801311, + -0.4768206446472016, + -0.47980525491343995, + -0.49023735621523534, + -0.5088506973482978, + -0.5361960951667702, + -0.5726230523975323, + -0.6182660288948042, + -0.6730357586505656, + -0.7366158829603875, + -0.8084650409121474, + -0.8878244249944062, + -0.9737306754002826, + -1.0650338548474725, + -1.1604201197081754, + -1.2584385860717797, + -1.3575317839636045, + -1.456069001945889, + -1.5523817500120098, + -1.6448005129257197, + -1.7316919303730904, + -1.8114955254150396, + -1.882759109170505, + -1.944172017316043, + -1.994595382228634, + -2.0330887122880794, + -2.058932135378242, + -2.0716437649273307, + -2.070991761460843, + -2.0570007878322296, + -2.0299526890089323, + -1.9903813643017718, + -1.9390619379022385, + -1.8769944691778648, + -1.8053825740700056, + -1.7256074499784513, + -1.6391979057565542, + -1.5477970932207603, + -1.4531267145944597, + -1.356949539663971, + -1.261031105686794, + -1.1671014913139142, + -1.0768180525391904, + -0.9917299840659363, + -0.913245524103234, + -0.8426025555990423, + -0.780843273891232, + -0.7287934917580284, + -0.6870470403122129, + -0.655955600874093, + -0.6356241719030539, + -0.6259122394779548, + -0.6264405830119204, + -0.636603513210391, + -0.6555862100187546, + -0.6823867076046474, + -0.7158419642116519, + -0.7546573596486321, + -0.7974388845328599, + -0.8427272250665873, + -0.889032906521956, + -0.9348716386752188, + -0.9787990075923522, + -1.0194436803274964, + -1.0555383316373403, + -1.085947563620029, + -1.1096921686640104, + -1.1259691812135464, + -1.1341672722140832, + -1.1338771589594006, + -1.1248968294370258, + -1.1072315109918287, + -1.0810884449324638, + -1.0468666583042363, + -1.0051420482201128, + -0.9566482097963833, + -0.9022535430173851, + -0.8429352641809287, + -0.7797510217326662, + -0.7138088724721678, + -0.6462364109475162, + -0.5781498614771317, + -0.5106239382830735, + -0.4446632548414767, + -0.3811760194167746, + -0.3209506910056311, + -0.26463619019787177, + -0.2127261648130782, + -0.16554770301340502, + -0.12325476965804608, + -0.08582651792757516, + -0.05307050085110732, + -0.02463067954897187, + -2.1362709262396706e-16 + ], + [ + 0, + 0.020316193585117534, + 0.03864294017890972, + 0.05584779154607721, + 0.07284609821603574, + 0.09057250810489179, + 0.10995181065347732, + 0.13186990988200897, + 0.15714570785838494, + 0.18650465810235198, + 0.22055470694040397, + 0.25976528081738315, + 0.3044499005582362, + 0.3547529114846609, + 0.41064071343541264, + 0.4718977597487155, + 0.5381274720316437, + 0.6087580911417544, + 0.6830533574269388, + 0.7601277881264327, + 0.8389662000941392, + 0.9184470146998148, + 0.9973687817229682, + 1.0744792728301937, + 1.1485064250294983, + 1.2181903621385481, + 1.2823156891585819, + 1.339743241405308, + 1.38944047770545, + 1.4305097348046103, + 1.4622136077219894, + 1.4839967870094333, + 1.4955037671387525, + 1.4965919385367163, + 1.4873396867175528, + 1.4680492428144747, + 1.439244157618504, + 1.4016614028488938, + 1.356238235557564, + 1.3040940910416428, + 1.246507893194839, + 1.184891285800754, + 1.120758391005666, + 1.0556927895380206, + 0.9913124889500933, + 0.9292336994335728, + 0.8710342702454192, + 0.8182176525990223, + 0.772178246661445, + 0.7341689612006355, + 0.7052717651110401, + 0.6863719416742191, + 0.6781366706151921, + 0.6809984618574504, + 0.6951438508019784, + 0.7205076407199776, + 0.7567728464691145, + 0.8033763584108158, + 0.8595202094127231, + 0.9241881944756705, + 0.9961674650755631, + 1.074074601861107, + 1.1563855627838362, + 1.2414688116514732, + 1.3276208567303036, + 1.413103372208102, + 1.4961810384433314, + 1.575159220858161, + 1.6484206124609107, + 1.7144599911689178, + 1.7719162896891443, + 1.8196012415478395, + 1.8565239503164468, + 1.8819108281042787, + 1.89522046154444, + 1.8961530860344764, + 1.8846544789024708, + 1.8609142162706729, + 1.8253583734022731, + 1.7786368809442643, + 1.721605876486707, + 1.6553055091549342, + 1.580933761665209, + 1.4998169468243754, + 1.4133776116123293, + 1.3231006399322056, + 1.2304983834793273, + 1.137075668083592, + 1.0442955199454036, + 0.953546432551714, + 0.8661119513766424, + 0.7831432908849377, + 0.7056356184757794, + 0.6344085448631707, + 0.5700912523946704, + 0.5131125746834739, + 0.46369621563503444, + 0.4218611666260292, + 0.38742725046997195, + 0.36002559312287846, + 0.33911370201848323, + 0.32399471650302913, + 0.31384029387020324, + 0.3077165064910979, + 0.3046120536522826, + 0.30346803771004277, + 0.3032085193430956, + 0.30277105185996395, + 0.3011364000088021, + 0.29735667435550067, + 0.2905811573449322, + 0.2800791604585378, + 0.2652593317913616, + 0.24568492784041945, + 0.22108466990850217, + 0.19135892156501405, + 0.15658104611653262, + 0.11699392891234152, + 0.07300177535059281, + 0.025157418463253776, + -0.02585451317485573, + -0.07923810870682575, + -0.13410981499443325, + -0.18952456727411804, + -0.24450370906892654, + -0.29806395264347213, + -0.3492466031825217, + -0.3971462616976892, + -0.44093823364186996, + -0.479903902050738, + -0.5134533749477156, + -0.5411447854747019, + -0.5626997080276303, + -0.578014252458766, + -0.5871655086778095, + -0.5904131329708069, + -0.5881959920659522, + -0.5811239082671242, + -0.5699646756379861, + -0.5556266400515539, + -0.5391372518122747, + -0.5216181055689509, + -0.5042570756685775, + -0.48827823356484645, + -0.47491029537225304, + -0.46535439055016803, + -0.46075196587519013, + -0.46215364166930073, + -0.4704898195577571, + -0.4865438032079065, + -0.5109281364245699, + -0.5440647880076203, + -0.5861697217199484, + -0.637242284780828, + -0.6970597320524357, + -0.7651770783746688, + -0.8409323413912161, + -0.923457104903979, + -1.0116922015618826, + -1.1044081867822584, + -1.2002301563671218, + -1.2976663512833722, + -1.395139897243942, + -1.4910229464558953, + -1.5836724262104007, + -1.6714665554694335, + -1.7528412673751674, + -1.8263256732924955, + -1.8905757227026538, + -1.9444052525871518, + -1.986813678961001, + -2.0170096605306482, + -2.0344301582122055, + -2.0387544221906997, + -2.0299125577208756, + -2.0080884490681408, + -1.973716954752014, + -1.9274754233324014, + -1.8702697140604045, + -1.8032150375116671, + -1.7276120546461533, + -1.644918785589892, + -1.5567189790633793, + -1.4646876773631192, + -1.370554778094537, + -1.2760674408473769, + -1.1829522135620456, + -1.0928777588210188, + -1.0074190445933962, + -0.9280238274617858, + -0.8559821999767656, + -0.7923998989086755, + -0.7381759796456063, + -0.6939853560717045, + -0.660266587553423, + -0.6372151680513121, + -0.6247824399645576, + -0.6226801203454907, + -0.6303902928913324, + -0.6471805889065019, + -0.6721241574032444, + -0.7041239116613722, + -0.7419404396345588, + -0.784222880982743, + -0.8295420062584543, + -0.876424685478015, + -0.9233889050951182, + -0.9689784848955598, + -1.0117966596659704, + -1.0505377242604417, + -1.084015993996554, + -1.1111914037750108, + -1.1311911571075417, + -1.1433269381279336, + -1.1471073130793357, + -1.142245069864769, + -1.1286593719566256, + -1.1064727330912227, + -1.076002948479969, + -1.037750243530915, + -0.9923800191828017, + -0.940701680982481, + -0.8836441343180387, + -0.8222286084096512, + -0.7575395347957818, + -0.690694250601304, + -0.6228123217717996, + -0.5549852861337723, + -0.4882476005301851, + -0.4235495408296138, + -0.3617327492567251, + -0.3035090516561182, + -0.24944307983183306, + -0.19993913324214233, + -0.1552326026484316, + -0.11538615866212072, + -0.08029078354581966, + -0.049671598267326714, + -0.023098311882312372, + -2.0107776575631545e-16 + ], + [ + 0, + 0.01932309804499384, + 0.03708621831762916, + 0.0541711172057323, + 0.0714916076884074, + 0.08996502056676234, + 0.11048345631587367, + 0.13388560116771794, + 0.16092986772979873, + 0.19226958759697765, + 0.22843093183969168, + 0.2697941662377511, + 0.31657876340298047, + 0.3688327956210462, + 0.42642692281208355, + 0.48905317221299077, + 0.5562285831871786, + 0.6273036650757098, + 0.7014754913847584, + 0.7778051330089164, + 0.8552390196728178, + 0.9326337152172262, + 1.0087835013978688, + 1.0824500888327027, + 1.1523937145833236, + 1.2174048451274941, + 1.276335682253057, + 1.328130668274244, + 1.3718552060340976, + 1.406721848001936, + 1.432113266498445, + 1.447601392306335, + 1.4529621998355502, + 1.448185721398112, + 1.4334809884579083, + 1.4092757211265863, + 1.376210715642415, + 1.3351290099258986, + 1.287060036331652, + 1.2331990952137881, + 1.1748825998001622, + 1.1135596492195432, + 1.050760579689352, + 0.9880632215149592, + 0.9270576497176171, + 0.869310257267707, + 0.8163280009894823, + 0.7695236706519523, + 0.73018301150445, + 0.6994344900006904, + 0.6782224326268323, + 0.667284190028417, + 0.6671318848812386, + 0.6780391944312307, + 0.7000334999384921, + 0.7328936082776464, + 0.7761531187543369, + 0.829109374009889, + 0.8908378009686451, + 0.9602113193719707, + 1.035924374667973, + 1.1165210418290554, + 1.2004265497360147, + 1.2859814944578165, + 1.371477946049627, + 1.4551966089358033, + 1.5354441716184175, + 1.6105899779393242, + 1.6791011694982672, + 1.7395754866544868, + 1.7907709728759893, + 1.8316319026351073, + 1.8613103447234047, + 1.8791828785206401, + 1.8848620978074746, + 1.878202662289812, + 1.859301788028517, + 1.8284942012362346, + 1.7863417121575027, + 1.7336176937627512, + 1.6712868706441986, + 1.6004809338706762, + 1.5224705949657589, + 1.4386347742692778, + 1.3504276837579356, + 1.2593446103965749, + 1.1668872321952373, + 1.0745293047781175, + 0.9836835413550913, + 0.895670473957969, + 0.8116900295913319, + 0.7327964829531388, + 0.6598773594413945, + 0.5936367605088179, + 0.534583470620798, + 0.48302408394740537, + 0.4390612625111773, + 0.4025971089775208, + 0.37334150981726405, + 0.3508251813610809, + 0.33441703536010575, + 0.32334537493421955, + 0.31672233883779927, + 0.3135709340861165, + 0.3128539360673886, + 0.313503892791205, + 0.3144534469051674, + 0.314665186071094, + 0.3131602492518501, + 0.30904495294066664, + 0.3015347563991096, + 0.28997495712625704, + 0.27385759520132047, + 0.2528341455853336, + 0.22672368837108003, + 0.1955163655103903, + 0.15937205571208096, + 0.11861432386608539, + 0.07371982434905296, + 0.025303455787127324, + -0.02590032470164287, + -0.07905951988674983, + -0.13326934875261254, + -0.18757907462414256, + -0.24102018457786692, + -0.29263516375816895, + -0.3415060917615198, + -0.3867822916333212, + -0.4277062851696229, + -0.4636373505588254, + -0.4940720388821222, + -0.5186610831034012, + -0.5372222249873769, + -0.549748589584591, + -0.5564123508947882, + -0.5575635531985562, + -0.5537240772856731, + -0.5455768662610825, + -0.5339506486064065, + -0.5198005136043141, + -0.5041848031166087, + -0.48823888127602433, + -0.473146427416255, + -0.4601089653759085, + -0.4503143924162269, + -0.44490530207573264, + -0.44494790650663923, + -0.45140235485175517, + -0.465095215184533, + -0.48669483910767813, + -0.5166902614311689, + -0.5553742040299103, + -0.6028306550341004, + -0.6589273843199165, + -0.7233136365423153, + -0.7954231166267386, + -0.8744822528245546, + -0.9595235923429715, + -1.04940405740413, + -1.1428276685237977, + -1.2383722298377615, + -1.3345193712349501, + -1.4296872563837557, + -1.522265196615222, + -1.6106493598013287, + -1.693278732140076, + -1.7686704799509072, + -1.8354538685121444, + -1.892401925445697, + -1.9384600864747554, + -1.9727711303615694, + -1.9946957958270306, + -2.0038285741943245, + -2.0000082849484637, + -1.9833231646147513, + -1.9541103293429631, + -1.912949605181559, + -1.8606518539878114, + -1.7982420539839898, + -1.7269375189443554, + -1.648121755837633, + -1.5633145646322242, + -1.4741390733659985, + -1.3822864743127279, + -1.2894792813739107, + -1.1974339633707476, + -1.1078238218723602, + -1.0222429752431479, + -0.9421722829066943, + -0.8689479960956751, + -0.8037338547668831, + -0.7474972665484778, + -0.7009901046147892, + -0.6647345496832593, + -0.6390142796387617, + -0.6238711815946582, + -0.6191076286480112, + -0.6242942304186214, + -0.638782835929455, + -0.6617244426708802, + -0.6920915498265788, + -0.7287043894359404, + -0.7702603792456744, + -0.8153660673279037, + -0.8625707829728547, + -0.9104011722113073, + -0.9573957804140591, + -1.0021388490811138, + -1.0432925189912519, + -1.0796266766499334, + -1.1100457442809035, + -1.1336117938294383, + -1.1495634605432496, + -1.1573302392668081, + -1.1565418639194716, + -1.1470325947837183, + -1.1288403661016748, + -1.1022008748748509, + -1.0675368174868827, + -1.0254426006991328, + -0.9766649647323713, + -0.9220800557975332, + -0.8626675711210086, + -0.799482669124725, + -0.7336263892739809, + -0.6662153589492196, + -0.5983515777620505, + -0.5310930627477732, + -0.46542611105573156, + -0.4022398908509036, + -0.34230400733834737, + -0.2862496107768968, + -0.23455451911555264, + -0.18753272187441633, + -0.1453285168038781, + -0.10791540961847744, + -0.07509978279390833, + -0.04652921519056702, + -0.021705213273332156, + -1.8990487711478142e-16 + ], + [ + 0, + 0.018484255525820423, + 0.03583971740050231, + 0.05295389302541296, + 0.07073075779636064, + 0.0900624342471874, + 0.11180109637876982, + 0.13673185637658344, + 0.16554736664977646, + 0.19882482700053505, + 0.23700602583104788, + 0.2803809671417859, + 0.32907554360487895, + 0.3830436125081277, + 0.4420637184616128, + 0.5057405872828017, + 0.5735113924393523, + 0.644656671936776, + 0.7183156527121846, + 0.7935056244946395, + 0.8691448986376, + 0.9440787923280786, + 1.0171079972588397, + 1.0870186264019253, + 1.1526131846377823, + 1.2127416799320647, + 1.266332082300747, + 1.3124193482642121, + 1.3501722586658742, + 1.3789173669316, + 1.3981594219072409, + 1.4075977127195798, + 1.4071378806390689, + 1.39689885230027, + 1.3772146671770147, + 1.3486310969993927, + 1.311897082761979, + 1.2679511429449037, + 1.217903031381671, + 1.1630110417614787, + 1.1046554650987823, + 1.0443088039100719, + 0.983503429867862, + 0.9237974382651686, + 0.8667395010338311, + 0.8138335490739972, + 0.7665041235042316, + 0.7260632238607266, + 0.6936794494920657, + 0.6703501791424695, + 0.6568774642009386, + 0.6538482249770005, + 0.6616192387163332, + 0.6803072953222139, + 0.7097847746317367, + 0.7496807705728634, + 0.7993877557231658, + 0.8580736479108548, + 0.9246990117548303, + 0.9980390055702459, + 1.0767095708543404, + 1.1591972603744136, + 1.2438920141719516, + 1.3291221226870238, + 1.4131905644015792, + 1.494411873157786, + 1.5711486784077366, + 1.6418470703750816, + 1.7050699712343533, + 1.7595277422166837, + 1.8041053238279283, + 1.8378852904606142, + 1.8601662995288741, + 1.8704765264296481, + 1.868581797408553, + 1.8544882598272678, + 1.8284395602738663, + 1.790908632228763, + 1.7425843233935527, + 1.6843532151801577, + 1.6172771002678332, + 1.5425666858154843, + 1.4615521774095186, + 1.375651470029245, + 1.2863367255236833, + 1.1951001500628937, + 1.1034197989770942, + 1.0127262300472482, + 0.9243707998810591, + 0.8395963522144013, + 0.7595109830118848, + 0.6850654867403941, + 0.6170349932000765, + 0.5560051972164095, + 0.5023634670168978, + 0.45629499415555935, + 0.4177840214809317, + 0.3866200590193831, + 0.3624088739150961, + 0.3445879228018173, + 0.33244578609501685, + 0.32514506637416024, + 0.3217481296672079, + 0.32124500109345905, + 0.32258267660318, + 0.3246950816657283, + 0.3265328964218396, + 0.3270924752594455, + 0.32544311672959214, + 0.3207519864350338, + 0.3123060597752632, + 0.2995305315568637, + 0.2820032334197356, + 0.2594647053869448, + 0.23182368193358993, + 0.19915787288732414, + 0.16171004217541612, + 0.11987950980893705, + 0.0742093214432147, + 0.025369442362937256, + -0.025863564037885235, + -0.07862982188918227, + -0.1320117640899561, + -0.18506139972003924, + -0.23682849494076347, + -0.28638891028529617, + -0.33287233225432317, + -0.37548865172014684, + -0.4135522754449114, + -0.4465037091949203, + -0.47392782017799995, + -0.49556827110859014, + -0.5113377159922206, + -0.5213234562590886, + -0.5257883724340205, + -0.5251670681708489, + -0.5200572871347867, + -0.5112067857636751, + -0.49949596327803475, + -0.4859166614414102, + -0.4715476476733507, + -0.4575273836106969, + -0.44502475483386805, + -0.435208494326488, + -0.4292160708386305, + -0.4281228326495654, + -0.4329121967284896, + -0.4444476529190379, + -0.463447312969449, + -0.4904616759253576, + -0.5258552059897511, + -0.5697922282580887, + -0.6222275439638876, + -0.6829020525598402, + -0.7513435459181379, + -0.8268727131661967, + -0.9086142663095944, + -0.995512970008646, + -1.0863542368125243, + -1.1797888348495047, + -1.2743611512715525, + -1.3685403642490592, + -1.4607538012782724, + -1.5494217038938858, + -1.632992580041633, + -1.7099783063679364, + -1.7789881440464848, + -1.8387608535036994, + -1.8881941350453288, + -1.926370682951666, + -1.9525802186598473, + -1.9663369623169669, + -1.9673921090097635, + -1.955740993766944, + -1.9316247551329202, + -1.895526437673917, + -1.8481616060237949, + -1.7904636737881638, + -1.7235642766174946, + -1.6487691369622683, + -1.5675299755542615, + -1.4814131188966018, + -1.3920655306944851, + -1.3011790563031003, + -1.21045371142157, + -1.1215608684004146, + -1.036107195121938, + -0.9556001824294601, + -0.8814160569968339, + -0.8147708183106213, + -0.7566950625179669, + -0.7080131641399138, + -0.6693272813163862, + -0.6410065339180693, + -0.6231815793827764, + -0.6157446815563523, + -0.6183552363088173, + -0.6304505874665474, + -0.6512618408262537, + -0.679834265757443, + -0.7150517660286209, + -0.7556648066203236, + -0.8003211037026027, + -0.8475983225629533, + -0.8960379845531895, + -0.9441797600983672, + -0.9905953210071238, + -1.0339209417717583, + -1.0728880757785728, + -1.1063511874072136, + -1.1333121934627655, + -1.1529409554081202, + -1.1645913652195934, + -1.1678126798218165, + -1.162355879154922, + -1.1481749479822034, + -1.1254231084380886, + -1.0944441558845153, + -1.0557591717683386, + -1.0100490008510103, + -0.9581329836039119, + -0.9009445251796605, + -0.8395041579578066, + -0.7748908133780598, + -0.7082120591967593, + -0.640574079473565, + -0.5730521760394289, + -0.5066625519325342, + -0.44233609982832606, + -0.38089486282523405, + -0.3230317625261695, + -0.26929410204270965, + -0.22007125158027271, + -0.17558681418955163, + -0.135895451893745, + -0.10088443070505307, + -0.07027982011487119, + -0.04365716159622479, + -0.020456304560241324, + -1.8013499053311168e-16 + ], + [ + 0, + 0.017798762569482127, + 0.03489744982817743, + 0.052181033850437625, + 0.07053566536203093, + 0.0908208173905689, + 0.11384207422552622, + 0.14032530019765785, + 0.17089288808239006, + 0.2060427342093976, + 0.24613051794212978, + 0.29135577881907654, + 0.3417521874436548, + 0.39718229861742405, + 0.457336959941603, + 0.5217394290705601, + 0.5897541310177306, + 0.6605998664669197, + 0.7333671659785521, + 0.80703937624424, + 0.8805169658978741, + 0.9526444523526256, + 1.0222392799044087, + 1.0881219247599752, + 1.149146466134835, + 1.204230845095987, + 1.2523860348959233, + 1.2927433681687455, + 1.3245793070592757, + 1.3473370011770387, + 1.3606440537999938, + 1.3643260071690375, + 1.3584151608097819, + 1.3431544500683077, + 1.3189962326696907, + 1.2865959561292188, + 1.2468008051779427, + 1.2006335528780185, + 1.1492719587091225, + 1.0940241686293875, + 1.0363006731660855, + 0.9775834674437638, + 0.9193931295028432, + 0.8632545884683177, + 0.8106623906861808, + 0.763046288902456, + 0.7217379764453189, + 0.6879397652078891, + 0.6626959635345944, + 0.646867648886091, + 0.6411114518525086, + 0.6458628745802854, + 0.6613245602283796, + 0.6874598132502572, + 0.7239915459417353, + 0.7704066978226229, + 0.8259660441670545, + 0.8897191815352958, + 0.9605243546190024, + 1.0370726731044901, + 1.117916162404273, + 1.2014990005630382, + 1.286191217643541, + 1.37032407529259, + 1.452226304404767, + 1.530260358807918, + 1.6028578431715017, + 1.6685532938724592, + 1.726015531832511, + 1.7740758653731201, + 1.8117524974668295, + 1.8382705835225768, + 1.853077490776192, + 1.8558529258943537, + 1.846513720711558, + 1.825213194088779, + 1.7923351375799261, + 1.7484826007524248, + 1.6944617755079578, + 1.6312613945841372, + 1.5600281647760847, + 1.4820388477491009, + 1.3986696783947712, + 1.3113638706669377, + 1.221598002299396, + 1.130848091790499, + 1.0405561830601056, + 0.9520982352531095, + 0.8667540777852831, + 0.7856801348841682, + 0.7098855510072002, + 0.6402122604757514, + 0.5773194436730793, + 0.5216727007576013, + 0.4735381548334962, + 0.4329815728743352, + 0.3998724674955813, + 0.37389301903415584, + 0.3545515383869357, + 0.341200079632454, + 0.33305571036325776, + 0.3292248593789918, + 0.32873008809609694, + 0.33053857550437027, + 0.3335915681066497, + 0.3368340269229025, + 0.33924370375364593, + 0.33985889842178535, + 0.33780418710258714, + 0.33231346809308526, + 0.3227497440034744, + 0.3086211465039375, + 0.28959280919943, + 0.26549430339515906, + 0.23632246767846543, + 0.20223958242782172, + 0.16356696151854855, + 0.12077415255746811, + 0.07446405093069995, + 0.025354338906374403, + -0.025744243683368268, + -0.07795220845944825, + -0.1303475514584066, + -0.18199320411740919, + -0.23196496432393773, + -0.27937915648764744, + -0.3234192757947372, + -0.36336089714753333, + -0.3985941731432452, + -0.42864330670869116, + -0.45318246114572175, + -0.4720476614173335, + -0.4852443432268725, + -0.49295031822649693, + -0.4955140417194305, + -0.49344819051651284, + -0.4874186801077607, + -0.47822936894161383, + -0.46680281036280974, + -0.4541575167823607, + -0.4413822932916421, + -0.42960827682040625, + -0.4199793800490924, + -0.4136218849843057, + -0.41161395819068364, + -0.4149558674040957, + -0.42454166737430293, + -0.44113309153344454, + -0.46533633617813974, + -0.4975823564730862, + -0.5381112103566399, + -0.5869608893765488, + -0.643960966978305, + -0.7087312774714868, + -0.7806857156976885, + -0.8590411213571755, + -0.9428310861388102, + -1.030924399357377, + -1.122047731777144, + -1.214812050580225, + -1.3077421636892619, + -1.3993087112518747, + -1.4879618580652185, + -1.5721658946891446, + -1.6504339281497216, + -1.7213618361859564, + -1.7836606721657193, + -1.8361867408211647, + -1.8779686170700858, + -1.9082304501659686, + -1.9264109815844563, + -1.9321778053347292, + -1.9254365113588623, + -1.906334473638246, + -1.8752591716275149, + -1.8328310635955702, + -1.7798911602072318, + -1.717483573066763, + -1.646833432885358, + -1.5693206825038337, + -1.4864503485023126, + -1.3998199791581634, + -1.311085004022966, + -1.2219228197341714, + -1.1339964366566204, + -1.0489185308373101, + -0.9682167353192171, + -0.8933009743597072, + -0.8254335942903173, + -0.7657029768639876, + -0.7150012366317696, + -0.6740065052424736, + -0.6431701949848608, + -0.6227095141014078, + -0.6126053803270994, + -0.6126057498287308, + -0.6222342493971119, + -0.6408038735303572, + -0.667435388014625, + -0.7010799706761353, + -0.740545520833842, + -0.7845259840203569, + -0.8316329698015308, + -0.8804288896510224, + -0.9294608100217243, + -0.9772942037251844, + -1.0225457907184263, + -1.063914687146452, + -1.1002111282517824, + -1.1303820953263681, + -1.1535332575949404, + -1.168946734735714, + -1.1760942922734716, + -1.1746456976456134, + -1.1644720864506564, + -1.1456443132013028, + -1.1184263857117487, + -1.0832642039490838, + -1.040769939753803, + -0.9917025004261153, + -0.9369446141543044, + -0.8774771562954536, + -0.8143514006267994, + -0.7486599272886282, + -0.6815069480983389, + -0.6139788195595662, + -0.5471155040337837, + -0.4818837104867239, + -0.4191523987504963, + -0.3596712665969478, + -0.30405275876933674, + -0.252758043525149, + -0.20608729759464056, + -0.16417452742350275, + -0.12698703601745137, + -0.09432952365059111, + -0.06585269020662443, + -0.04106609004441236, + -0.019354879975318248, + -1.7177933406592038e-16 + ], + [ + 0, + 0.017264118740909374, + 0.034250352547373256, + 0.0518330995976668, + 0.07087308601396637, + 0.0921902095923175, + 0.11653743086126579, + 0.1445764173842994, + 0.1768556026976955, + 0.21379125970800433, + 0.25565211130873905, + 0.3025479103518128, + 0.3544223192068996, + 0.411050308528306, + 0.4720401783131809, + 0.536840184818257, + 0.6047496374247241, + 0.6749342131254055, + 0.7464451259055138, + 0.8182416867019682, + 0.8892166994436526, + 0.9582240622015017, + 1.0241078816785343, + 1.0857323657223008, + 1.1420117333928268, + 1.1919393760568753, + 1.2346155162168047, + 1.269272643049976, + 1.2952980541868615, + 1.312252900888942, + 1.3198872168683145, + 1.3181505074980973, + 1.3071975837354766, + 1.287389441075846, + 1.2592891054198567, + 1.2236524918628255, + 1.1814144460353233, + 1.1336702576674569, + 1.0816530495321102, + 1.0267075490145772, + 0.9702608416544963, + 0.9137907837987383, + 0.8587928130275879, + 0.8067459387061707, + 0.7590787197403044, + 0.7171360417186473, + 0.6821474909214418, + 0.6551980884783833, + 0.6372020950529957, + 0.628880526068911, + 0.6307429313566818, + 0.6430738932605325, + 0.6659245861149714, + 0.699109620273886, + 0.7422092684567378, + 0.7945770441176246, + 0.8553524739611661, + 0.9234787827334544, + 0.9977250910304105, + 1.0767126189535865, + 1.1589442926385285, + 1.242837069321039, + 1.3267562316781212, + 1.409050855266001, + 1.488089625120773, + 1.5622961696615734, + 1.6301830921302147, + 1.690383911613618, + 1.7416821764413626, + 1.7830370811838139, + 1.813605002915955, + 1.8327564707886916, + 1.8400881928520922, + 1.835429882813847, + 1.8188457540866423, + 1.7906306760337634, + 1.751301114649416, + 1.701581103904941, + 1.6423836116363404, + 1.574787772284591, + 1.5000125554009458, + 1.419387521262728, + 1.334321381231199, + 1.2462691290425012, + 1.1566985389157411, + 1.0670568365151314, + 0.9787383392255109, + 0.8930538331883123, + 0.8112024068732727, + 0.7342463958635594, + 0.6630900126701731, + 0.5984621408130469, + 0.5409036664934586, + 0.4907596065927479, + 0.44817617133208176, + 0.41310277672131346, + 0.3852988989780385, + 0.3643455434642958, + 0.34966098733156364, + 0.34052035078594245, + 0.3360784592535064, + 0.3353953800138088, + 0.337463953998647, + 0.34123859794534245, + 0.34566462503433026, + 0.3497073241520809, + 0.35238004914658316, + 0.35277059954728623, + 0.3500652223958978, + 0.34356962981906064, + 0.33272650708975043, + 0.31712907911544347, + 0.29653040717698115, + 0.2708481996765627, + 0.24016503779188644, + 0.20472403630385758, + 0.16492007844273682, + 0.12128687837987523, + 0.07448023307538211, + 0.02525792384295873, + -0.025543185282380046, + -0.07703223268218833, + -0.12829095145560043, + -0.17840105327820652, + -0.22647166733423635, + -0.2716660958736427, + -0.3132271649525481, + -0.35050048447047105, + -0.38295498483051144, + -0.4102001670835436, + -0.43199958752687473, + -0.4482801942955429, + -0.45913724007888124, + -0.464834609029665, + -0.4658005143337975, + -0.46261864278528675, + -0.4560149410330513, + -0.44684035193687194, + -0.4360499158030553, + -0.42467874746239065, + -0.4138154837494414, + -0.40457386480103885, + -0.39806316493635624, + -0.3953582233450867, + -0.3974698404729795, + -0.405316302403142, + -0.4196967727155688, + -0.44126724977536036, + -0.47051972812976833, + -0.5077651271082504, + -0.5531204596509145, + -0.6065006120370723, + -0.6676149930560371, + -0.7359691920148388, + -0.8108716617509931, + -0.8914453185597506, + -0.9766438287343132, + -1.0652722342894068, + -1.1560114613105628, + -1.247446155967952, + -1.3380952080200743, + -1.4264442517532727, + -1.5109793815276773, + -1.590221284780107, + -1.6627589803668446, + -1.7272823549373448, + -1.7826127145490729, + -1.827730612413527, + -1.8618002754819338, + -1.8841900310646218, + -1.8944882279482869, + -1.8925142522807692, + -1.878324354273526, + -1.852212124719221, + -1.8147035874481787, + -1.7665470020592795, + -1.7086975974353693, + -1.642297577614296, + -1.5686518545815282, + -1.4892000647217538, + -1.4054855145212688, + -1.319121774481796, + -1.2317576962996204, + -1.1450416658143197, + -1.0605859221272549, + -0.979931771199277, + -0.9045165002163907, + -0.8356427576059045, + -0.7744511038128262, + -0.721896361274967, + -0.6787283003463739, + -0.645477093459284, + -0.6224438551433267, + -0.6096964634430514, + -0.6070707317755878, + -0.6141768724389953, + -0.630411066937129, + -0.6549718370989637, + -0.6868807975863533, + -0.7250072675549679, + -0.7680961294459283, + -0.8147982483030077, + -0.8637027074173892, + -0.9133700768622668, + -0.962365911502992, + -1.0092936747879646, + -1.0528263039880537, + -1.0917356710211183, + -1.124919249565086, + -1.1514233723761715, + -1.170462550727609, + -1.1814344284467384, + -1.1839300536268762, + -1.1777392689542636, + -1.1628511437755764, + -1.1394494944928664, + -1.1079036615413735, + -1.0687548280632304, + -1.0226982745453823, + -0.9705620624497908, + -0.9132827257996294, + -0.8518786206931103, + -0.7874216370700131, + -0.7210080134471223, + -0.6537290129113011, + -0.5866422170284181, + -0.5207441735892306, + -0.45694509484410345, + -0.3960462461145313, + -0.3387205918849506, + -0.2854971795463778, + -0.23674964210939353, + -0.1926890929491906, + -0.15336157074376933, + -0.11865007413536077, + -0.08828110629297045, + -0.06183553250324158, + -0.03876344213023126, + -0.01840260258950546, + -1.6483396539325375e-16 + ], + [ + 0, + 0.016876283018268032, + 0.03388644054155189, + 0.051886582476702636, + 0.07170486633234505, + 0.09411526342708693, + 0.11981275294347196, + 0.14939061568378156, + 0.1833204457368117, + 0.22193542867070665, + 0.26541735107710546, + 0.31378771041633435, + 0.36690318856833004, + 0.4244556399412944, + 0.4859766282708057, + 0.5508464283053561, + 0.6183072924035787, + 0.687480670606751, + 0.7573879688266008, + 0.8269743360468961, + 0.8951348902704123, + 0.9607427264317284, + 1.0226779993581248, + 1.0798573424056166, + 1.1312628684942656, + 1.1759700053231221, + 1.2131734404934353, + 1.2422104945697943, + 1.262581299763308, + 1.2739652374940955, + 1.2762331777470495, + 1.2694551646846006, + 1.2539033039312564, + 1.230049724565507, + 1.1985596102414644, + 1.1602794160113834, + 1.116220507301122, + 1.0675385721231234, + 1.0155092641387473, + 0.961500629941063, + 0.9069429565189155, + 0.8532967422020555, + 0.8020195447671323, + 0.7545324925123372, + 0.7121872571401158, + 0.67623428084689, + 0.6477930242110195, + 0.6278249568766285, + 0.617109950697112, + 0.6162266564119641, + 0.6255373519701363, + 0.6451776455248975, + 0.6750513014525399, + 0.7148303362726991, + 0.7639604060242726, + 0.8216713805284666, + 0.8869928761227367, + 0.9587743998966971, + 1.035709648096438, + 1.116364401881851, + 1.1992073774515408, + 1.2826433167969744, + 1.3650475517389402, + 1.4448012387442302, + 1.5203264461754955, + 1.5901202794768823, + 1.6527872532446517, + 1.7070691615979676, + 1.751871758707916, + 1.7862876382797659, + 1.809614792329695, + 1.8213704335102514, + 1.821299778976125, + 1.8093796145617325, + 1.7858165829134856, + 1.7510402651341077, + 1.7056912493836858, + 1.6506044987256319, + 1.5867884414167572, + 1.5154003071291977, + 1.4377183198335042, + 1.3551114301661602, + 1.2690073253270884, + 1.180859491596717, + 1.0921141225714106, + 1.004177664804217, + 0.9183857717975631, + 0.8359743977954543, + 0.7580537055948792, + 0.6855853891063179, + 0.619363923505612, + 0.5600021557505873, + 0.5079215384984205, + 0.46334719380015094, + 0.4263078722786203, + 0.3966407518197962, + 0.37400090014741666, + 0.3578751109725724, + 0.34759971654821753, + 0.3423818830476905, + 0.3413238115943591, + 0.343449199039968, + 0.34773126039100927, + 0.3531215803680945, + 0.35857904575932903, + 0.36309811333508296, + 0.3657356899949024, + 0.3656359419137449, + 0.3620524066865389, + 0.3543668553519031, + 0.34210443783266264, + 0.32494474354520114, + 0.30272851619730917, + 0.27545987538725347, + 0.2433040146517678, + 0.20658046312133693, + 0.16575211295230244, + 0.1214103243076127, + 0.07425652108076568, + 0.02508078123782188, + -0.025261996700503317, + -0.07587770686195477, + -0.1258597386611619, + -0.17431605029051603, + -0.2203958846076765, + -0.26331540780338036, + -0.30238157856608894, + -0.3370136006011399, + -0.366761373177338, + -0.39132043130838945, + -0.41054295729358536, + -0.4244445463714193, + -0.4332065186343659, + -0.43717368435278964, + -0.43684758755661146, + -0.43287537014947947, + -0.42603451300900763, + -0.41721381856313294, + -0.40739109848169847, + -0.39760811785774297, + -0.3889434213308058, + -0.382483725119487, + -0.3792946003644371, + -0.38039119644242203, + -0.38670975735708346, + -0.3990806697720364, + -0.41820374803101956, + -0.4446264103795782, + -0.47872533278400164, + -0.5206920838759093, + -0.5705231486540071, + -0.6280146419965533, + -0.6927618983986987, + -0.7641640044745086, + -0.8414332186172184, + -0.9236091008194813, + -1.0095770580325598, + -1.0980908995173628, + -1.1877988951793432, + -1.277272740423961, + -1.3650387558674042, + -1.4496105911898667, + -1.5295226610309485, + -1.603363518170853, + -1.6698083659289138, + -1.7276499278786237, + -1.775826928281856, + -1.8134494902678215, + -1.8398208294565308, + -1.8544547067616073, + -1.857088203432646, + -1.8476894916127171, + -1.826460392120914, + -1.7938336349464827, + -1.750464864049318, + -1.6972195534299006, + -1.6351551230038845, + -1.5654986576265557, + -1.4896207378580217, + -1.4090059841711826, + -1.3252209950071925, + -1.239880421455167, + -1.154611965851267, + -1.0710211171710569, + -0.9906564421049605, + -0.9149762370169965, + -0.8453173129294045, + -0.7828666340633799, + -0.7286364615653301, + -0.6834435695479275, + -0.6478930025458064, + -0.6223667343266479, + -0.607017470380576, + -0.601767713208908, + -0.606314083756738, + -0.6201367670513113, + -0.6425138283725048, + -0.6725400310546904, + -0.7091496810989572, + -0.7511429297259608, + -0.7972148850923136, + -0.845986820545532, + -0.8960387205241418, + -0.9459423776053841, + -0.9942942458862764, + -1.039747267002142, + -1.0810409153071894, + -1.1170287572625284, + -1.1467028856455126, + -1.169214670139619, + -1.183891360139904, + -1.1902481808426661, + -1.1879956772423896, + -1.1770421796956194, + -1.157491386263541, + -1.1296351780896332, + -1.0939419016024756, + -1.0510404624475984, + -1.0017006780029243, + -0.9468104256112164, + -0.8873502000570845, + -0.8243657544637479, + -0.7589395422206988, + -0.6921617027447877, + -0.6251013402492813, + -0.558778832144561, + -0.494139872590149, + -0.43203190789407675, + -0.3731835551880673, + -0.31818751578088833, + -0.2674874018602925, + -0.22136879214457508, + -0.17995472130227413, + -0.14320569227732732, + -0.11092418301115455, + -0.08276350242292642, + -0.058240737845915914, + -0.036753430270488295, + -0.017599517388107163, + -1.592800982693119e-16 + ], + [ + 0, + 0.016629746025206414, + 0.03379098970558886, + 0.052314234069884204, + 0.07298844259560186, + 0.09653593514676855, + 0.12358906767492558, + 0.1546693284988281, + 0.19016942197207437, + 0.23033883360066795, + 0.2752732811182897, + 0.32490835592376005, + 0.379017551158261, + 0.43721475927916215, + 0.4989612061386607, + 0.5635766732291584, + 0.6302547478346432, + 0.6980817351675229, + 0.7660587698591204, + 0.8331265788746715, + 0.8981922762226482, + 0.9601575135686932, + 1.0179472715074207, + 1.0705385548308601, + 1.116988252252879, + 1.156459436834137, + 1.1882454174647743, + 1.2117909034059777, + 1.2267097118307562, + 1.2327985308931289, + 1.2300463460786366, + 1.218639243113197, + 1.1989604139355272, + 1.1715853103764098, + 1.1372720103135137, + 1.096946980204186, + 1.0516865330799499, + 1.0026943894454734, + 0.9512758473547404, + 0.8988091547612068, + 0.8467147498718945, + 0.7964230918392201, + 0.7493418432526837, + 0.7068231865283561, + 0.6701320578745305, + 0.6404160649436033, + 0.6186778179416225, + 0.6057503496998242, + 0.6022762293016625, + 0.6086908880009823, + 0.625210577429166, + 0.6518252708581193, + 0.6882967012100314, + 0.7341616074282111, + 0.7887401367165968, + 0.8511492270425683, + 0.9203206751809447, + 0.9950234833639138, + 1.0738899750325936, + 1.155445079767007, + 1.2381381114126955, + 1.320376303582814, + 1.400559324557904, + 1.4771139701612102, + 1.5485282290282631, + 1.6133839299155326, + 1.6703872149300767, + 1.718396134970982, + 1.7564447329695678, + 1.78376306500262, + 1.799792706962715, + 1.80419740281496, + 1.7968686269007346, + 1.7779259544220565, + 1.747712258184573, + 1.7067838728702163, + 1.655895987551573, + 1.595983639944188, + 1.5281387892826757, + 1.4535840361989687, + 1.373643635369056, + 1.2897125081216443, + 1.203224006206882, + 1.1156172034752818, + 1.0283044987423449, + 0.9426403005079927, + 0.859891532828966, + 0.7812106523352309, + 0.7076118004076958, + 0.6399506335720799, + 0.5789082812572791, + 0.5249797755760801, + 0.47846718532812665, + 0.439477568807587, + 0.4079257401501402, + 0.38354172485385235, + 0.36588266470839603, + 0.3543488235210962, + 0.3482032454207091, + 0.3465945295994853, + 0.34858211127320504, + 0.35316338020040705, + 0.35930192671501776, + 0.3659561818717585, + 0.37210771350964134, + 0.3767884538693833, + 0.37910616645378126, + 0.37826750923914, + 0.37359811684056327, + 0.364559204113899, + 0.3507602858942034, + 0.33196770977038675, + 0.3081088083770001, + 0.27927159186384465, + 0.2457000170875256, + 0.2077849847217952, + 0.1660513260056725, + 0.12114114444632157, + 0.07379397185091685, + 0.024824280203507704, + -0.02490304094397324, + -0.0744985794526658, + -0.12307497042309644, + -0.16977342585346566, + -0.21378950999804316, + -0.25439746552300074, + -0.2909724326508453, + -0.3230099575098479, + -0.3501422555011815, + -0.3721507789104944, + -0.3889747331199047, + -0.40071529022159236, + -0.4076353599594974, + -0.4101548929244533, + -0.4088418068931062, + -0.40439874119736796, + -0.3976459531495034, + -0.38950077205719114, + -0.3809541176591823, + -0.3730446685646172, + -0.3668313304671537, + -0.36336470187067343, + -0.3636582655518694, + -0.3686600461776487, + -0.3792254680296502, + -0.39609212176839437, + -0.4198571061640315, + -0.4509575507484834, + -0.4896548498502477, + -0.5360230492941225, + -0.5899417263649558, + -0.6510935939202671, + -0.7189669434948781, + -0.7928629227388129, + -0.8719075225275954, + -0.9550680315607486, + -1.0411736041446213, + -1.1289394829358927, + -1.2169943253029103, + -1.3039100019812164, + -1.3882331718753513, + -1.4685178888386887, + -1.5433584662821902, + -1.6114218143143604, + -1.6714784721267415, + -1.7224315853699947, + -1.7633431237025774, + -1.7934566964705658, + -1.812216403098503, + -1.8192812473490827, + -1.8145347489105974, + -1.798089499269934, + -1.7702865287708556, + -1.7316894752258924, + -1.683073668439013, + -1.6254103664826611, + -1.5598464955929738, + -1.4876803532680423, + -1.4103338309447235, + -1.3293217961244053, + -1.2462193419762508, + -1.1626276636015447, + -1.080139353044467, + -1.000303918979242, + -0.9245943314534381, + -0.8543753672599446, + -0.7908744880544833, + -0.7351559222963384, + -0.688098544962426, + -0.6503780576570829, + -0.6224538684467903, + -0.6045609580163472, + -0.5967068993263216, + -0.598674074767184, + -0.6100270108591368, + -0.6301246288593695, + -0.6581370931721546, + -0.6930668310417689, + -0.7337731992719707, + -0.7790001890209318, + -0.8274064901051221, + -0.8775971833738184, + -0.9281562948374215, + -0.9776794291518304, + -1.024805703118716, + -1.0682482219257625, + -1.1068223813221008, + -1.1394713367502949, + -1.1652880541584432, + -1.1835334449275163, + -1.1936501868605058, + -1.1952719419951912, + -1.188227797400747, + -1.17254187422234, + -1.1484281700846484, + -1.1162808175802432, + -1.0766600540399849, + -1.0302743023320535, + -0.9779588564894127, + -0.9206517472148522, + -0.8593674287743981, + -0.7951689788529641, + -0.7291395354121548, + -0.6623537087020106, + -0.5958497020393, + -0.5306028519443133, + -0.46750125735739545, + -0.4073241100126393, + -0.3507232651242233, + -0.29820850521615433, + -0.2501368524067031, + -0.20670617823034457, + -0.16795324784313623, + -0.13375622006001697, + -0.10384150903814465, + -0.07779480047562605, + -0.055075907795248104, + -0.03503705464187529, + -0.01694408164346088, + -1.5508458470450388e-16 + ], + [ + 0, + 0.01651761714154755, + 0.03394674678213825, + 0.053085428256424365, + 0.07467738016182165, + 0.09938821635441879, + 0.12778377425513512, + 0.1603111447819355, + 0.19728292368240646, + 0.23886512105898933, + 0.285069071550161, + 0.33574758433560076, + 0.39059546248039045, + 0.44915440789356287, + 0.5108222142139749, + 0.5748660381371565, + 0.6404394328952364, + 0.7066027285112849, + 0.7723462545924185, + 0.836615825072717, + 0.8983398424269242, + 0.956457333048976, + 1.009946196925493, + 1.057850944202806, + 1.0993091990658364, + 1.1335762773784432, + 1.160047188181734, + 1.1782754693718416, + 1.1879883432275637, + 1.1890977660962248, + 1.1817070463023969, + 1.1661128127660394, + 1.1428022312298711, + 1.1124454825707835, + 1.0758836354923507, + 1.0341121610370738, + 0.988260445950672, + 0.93956776323967, + 0.8893562487507286, + 0.8390015099908416, + 0.7899015557463629, + 0.7434447807587217, + 0.7009777675964737, + 0.663773677186021, + 0.6330019899422824, + 0.6097003312559863, + 0.5947490688866295, + 0.5888493066654619, + 0.5925048203361137, + 0.6060083892390579, + 0.6294328741035798, + 0.6626272789526299, + 0.7052179167773439, + 0.7566146770778842, + 0.8160222715566763, + 0.8824562151597302, + 0.9547631861985171, + 1.0316453042204734, + 1.1116877701987882, + 1.1933892327827031, + 1.275194178765961, + 1.3555265971977797, + 1.43282413587159, + 1.5055719570325972, + 1.572335506338079, + 1.631791435208354, + 1.6827559610829366, + 1.724210011660198, + 1.7553205764432858, + 1.7754577799516242, + 1.7842072935593816, + 1.7813778145829655, + 1.7670034592308406, + 1.741341037470934, + 1.7048622998014713, + 1.6582413653597163, + 1.6023376548633332, + 1.5381747577806737, + 1.4669157583024848, + 1.389835626839196, + 1.3082913509186505, + 1.2236905299048655, + 1.137459190705605, + 1.051009595831505, + 0.9657088105169219, + 0.8828487722809982, + 0.8036185649259094, + 0.729079540609917, + 0.6601438597850064, + 0.5975569313203939, + 0.5418841362447115, + 0.4935021107090183, + 0.4525947496935332, + 0.41915397549527916, + 0.3929851970615908, + 0.37371727070130983, + 0.36081666246935906, + 0.3536054103016535, + 0.35128239229047037, + 0.35294732858264144, + 0.3576268801782441, + 0.3643021599594301, + 0.3719369407325882, + 0.37950583263070786, + 0.3860217081515009, + 0.39056167719620594, + 0.3922909560660808, + 0.3904840323739694, + 0.38454260073367474, + 0.3740098300263289, + 0.35858061981312395, + 0.3381076086020341, + 0.31260280751068864, + 0.28223484658710574, + 0.24732193477475925, + 0.2083207453615321, + 0.165811543932461, + 0.12047997269761734, + 0.07309599114514012, + 0.02449054610415845, + -0.02446939735073118, + -0.07290679063301722, + -0.11996070372542034, + -0.16481208949054837, + -0.20670841637941784, + -0.24498650482188136, + -0.279092948793685, + -0.3086015661954536, + -0.33322739818233243, + -0.35283686651953805, + -0.36745379716462256, + -0.37726112508926574, + -0.38259820715375986, + -0.38395378380961354, + -0.38195474364585336, + -0.37735095444361005, + -0.37099652767869484, + -0.36382797768697295, + -0.35683981957819444, + -0.3510582193294711, + -0.3475133635241086, + -0.34721125352084387, + -0.3511056484548845, + -0.3600708828396226, + -0.37487626756646336, + -0.3961627481588659, + -0.4244224420446349, + -0.4599816086173465, + -0.502987523613194, + -0.5533996348424746, + -0.6109852719042567, + -0.675320070749965, + -0.7457931576071742, + -0.8216170187098623, + -0.901841865435976, + -0.9853741917339183, + -1.070999114937782, + -1.157405994871136, + -1.2432167419351616, + -1.3270161547901662, + -1.4073835740469327, + -1.482925101473343, + -1.5523056155554995, + -1.614279814345874, + -1.6677215354356116, + -1.711650640193261, + -1.7452568042515781, + -1.7679196272981612, + -1.7792245608335178, + -1.7789742506395139, + -1.767194998880566, + -1.7441381664157956, + -1.7102764562219717, + -1.666295140885376, + -1.6130784179408924, + -1.5516911934704336, + -1.4833567039725841, + -1.409430486402484, + -1.3313712940135907, + -1.250709629065063, + -1.1690146207931595, + -1.087860016878895, + -1.0087900780019086, + -0.9332861674290925, + -0.8627348108874473, + -0.7983979666226344, + -0.7413861924123953, + -0.6926353266872349, + -0.6528872165124121, + -0.6226749280693198, + -0.6023127678148603, + -0.5918913273198508, + -0.5912776447046378, + -0.6001204535318888, + -0.6178603689584213, + -0.6437447438376085, + -0.6768468171484082, + -0.716088676283188, + -0.7602674657946331, + -0.8080842003266058, + -0.8581744804304118, + -0.909140368199734, + -0.9595826561211243, + -1.0081327577581713, + -1.0534834629302805, + -1.0944178325109035, + -1.1298355580017092, + -1.1587761773542, + -1.1804386194242693, + -1.194196642917934, + -1.199609839371233, + -1.1964299810102224, + -1.1846026104817546, + -1.1642638875421005, + -1.1357328249067737, + -1.0994991587001415, + -1.056207205499948, + -1.006636155224015, + -0.9516773346658991, + -0.8923090482612446, + -0.8295696589126732, + -0.7645296110649415, + -0.6982631197743218, + -0.6318202527733855, + -0.5662001174694554, + -0.5023258318644797, + -0.44102190842496575, + -0.3829946142659016, + -0.3288157913362143, + -0.2789105286474385, + -0.2335489773105952, + -0.1928424908157449, + -0.15674416035443858, + -0.1250537009018111, + -0.09742653112967181, + -0.07338678186273054, + -0.052343866454002165, + -0.03361215470067685, + -0.016433212063027367, + -1.5220054590144855e-16 + ], + [ + 0, + 0.016531725372860746, + 0.03433416375844152, + 0.05416655560431569, + 0.0767219471198915, + 0.10260489817575161, + 0.13231160126881011, + 0.1662129534666242, + 0.20454104704116588, + 0.24737945623828178, + 0.2946575995328344, + 0.3461493512692016, + 0.40147596644770656, + 0.46011327037547767, + 0.5214029537917724, + 0.5845677067193067, + 0.6487298234100793, + 0.7129328189130244, + 0.7761655173342618, + 0.837388004849258, + 0.8955587886859139, + 0.9496624679768273, + 0.9987372045140718, + 1.0419012815312922, + 1.078378056737283, + 1.1075186515332724, + 1.128821770822165, + 1.1419501158002878, + 1.1467429339587178, + 1.143224344210555, + 1.131607178300749, + 1.1122921899011693, + 1.0858625973201397, + 1.053074041724228, + 1.0148401573002859, + 0.972214060025704, + 0.9263661649134554, + 0.8785588351724918, + 0.8301184483234811, + 0.7824055318760441, + 0.7367836729909986, + 0.6945879412900666, + 0.6570935807258079, + 0.6254857247189416, + 0.6008308685957658, + 0.5840507951582801, + 0.5758995938821447, + 0.5769443430751555, + 0.5875499390458413, + 0.6078684589829901, + 0.637833337187258, + 0.6771585201228227, + 0.7253426472460478, + 0.7816781846053362, + 0.8452653197169784, + 0.9150303120982144, + 0.9897478868691955, + 1.0680671616354767, + 1.1485405118102463, + 1.2296547087126988, + 1.3098636099208676, + 1.3876216438079265, + 1.4614173108724018, + 1.5298059238593835, + 1.5914408267794538, + 1.64510236932342, + 1.6897239669556086, + 1.7244146468325763, + 1.7484775639300638, + 1.7614240683111322, + 1.7629830109734073, + 1.753105089572993, + 1.731962153757461, + 1.699941509962103, + 1.6576353844050797, + 1.6058258177647848, + 1.5454653728477783, + 1.477654134842808, + 1.403613570127644, + 1.3246578819691497, + 1.2421635580979435, + 1.1575378447018665, + 1.0721869029436428, + 0.9874844071883238, + 0.9047413287021786, + 0.8251776150883287, + 0.749896425032455, + 0.6798615113426799, + 0.6158782644694043, + 0.5585788357184883, + 0.5084116565561456, + 0.46563556031580833, + 0.43031859799968286, + 0.402341523570396, + 0.38140580903560656, + 0.3670459385892005, + 0.358645626827539, + 0.35545751117463464, + 0.35662578545360607, + 0.36121117206519326, + 0.3682175761632323, + 0.3766197278501852, + 0.3853910986321882, + 0.3935313766114153, + 0.40009280114170875, + 0.4042046914694842, + 0.4050955543261469, + 0.40211222121630597, + 0.3947355455619788, + 0.3825922808823383, + 0.36546286148947, + 0.34328491421207374, + 0.31615244070507054, + 0.28431072215056474, + 0.24814710876514268, + 0.2081779627048607, + 0.1650321220222595, + 0.11943134278011812, + 0.07216825400968993, + 0.024082423962202046, + -0.023964815563900618, + -0.0711161083470067, + -0.11654368359393065, + -0.15947414734074072, + -0.1992117874745784, + -0.23515976286499435, + -0.2668386017061937, + -0.29390150360165235, + -0.3161460224169705, + -0.33352180040261925, + -0.3461341261846091, + -0.3542431973581996, + -0.3582590798635556, + -0.3587324682526577, + -0.35634146053836857, + -0.351874665769828, + -0.3462110591488928, + -0.34029708592794244, + -0.3351215893012843, + -0.33168919712164324, + -0.33099284599742335, + -0.3339861480097601, + -0.34155631421003174, + -0.35449833994156893, + -0.37349113004801193, + -0.39907619780700665, + -0.43163951101615994, + -0.4713969835196468, + -0.5183840224310999, + -0.5724494425396514, + -0.6332539523122362, + -0.7002733031699738, + -0.7728060781101558, + -0.849985980136467, + -0.9307983682235507, + -1.0141006814880573, + -1.098646293542913, + -1.183111251148194, + -1.2661232764527355, + -1.3462923522380599, + -1.4222421661578852, + -1.4926416641357603, + -1.5562359555312688, + -1.6118758236529576, + -1.6585451244672618, + -1.6953854032602833, + -1.721717122449169, + -1.7370569721990514, + -1.7411308270949362, + -1.7338820146335636, + -1.7154746722546053, + -1.686292086328658, + -1.6469300261218625, + -1.5981852053487868, + -1.5410391205890495, + -1.4766376267294092, + -1.4062667119920944, + -1.3313250265168926, + -1.253293796642347, + -1.1737048200658367, + -1.0941072834088037, + -1.0160341722355541, + -0.9409690535714818, + -0.8703140021924782, + -0.8053594146237564, + -0.7472564095605881, + -0.696992451409972, + -0.6553707563662994, + -0.6229939497642402, + -0.6002523416136786, + -0.5873170767019996, + -0.5841382991464226, + -0.5904483516361534, + -0.6057699097375954, + -0.6294288344650074, + -0.6605714146938758, + -0.6981855676251358, + -0.7411254728997296, + -0.7881390363513668, + -0.8378975146851807, + -0.8890265841260746, + -0.9401381054309547, + -0.9898618253074029, + -1.0368762604792103, + -1.0799380351821144, + -1.1179089851042974, + -1.1497803996147018, + -1.174693848050393, + -1.1919581229940661, + -1.2010619316747368, + -1.2016820734102844, + -1.1936869537149408, + -1.1771354015127704, + -1.1522708719534303, + -1.119511230743806, + -1.0794344238848972, + -1.0327604365758796, + -0.9803300343619311, + -0.9230808561726698, + -0.86202149085954, + -0.7982042146963292, + -0.7326970959652387, + -0.666556183550697, + -0.6007984891903342, + -0.5363764479251666, + -0.4741544990321295, + -0.41488837142215096, + -0.35920758465596275, + -0.30760159123882463, + -0.26040988988946523, + -0.21781633548175974, + -0.17984776197188657, + -0.14637692262216545, + -0.11712964005061108, + -0.0916959498985334, + -0.06954491896377538, + -0.05004272409203588, + -0.032473494337789365, + -0.016062348010835347, + -1.5056814338436888e-16 + ], + [ + 0, + 0.016662732716736958, + 0.03493165387386705, + 0.05552144454253658, + 0.07906971551987464, + 0.10611635916139342, + 0.1370855791916992, + 0.1722710896846007, + 0.2118248924524005, + 0.255749949514277, + 0.3038969664647716, + 0.35596539598517063, + 0.4115086611290737, + 0.4699434881435648, + 0.5305631312434282, + 0.5925541696616623, + 0.6550164630503538, + 0.7169857673032748, + 0.7774584412626668, + 0.8354176173969657, + 0.8898601678785332, + 0.9398237726437703, + 0.9844133886554658, + 1.0228264299450405, + 1.0543759958830445, + 1.0785115298635766, + 1.0948363511224557, + 1.1031215772730554, + 1.1033160425094235, + 1.0955519141492696, + 1.0801458158619175, + 1.0575953769370958, + 1.0285712405492633, + 0.9939046773379064, + 0.9545710609355149, + 0.9116695665791205, + 0.8663995500245097, + 0.8200341492329475, + 0.7738917235706626, + 0.7293058027202414, + 0.6875942586821243, + 0.6500284380749829, + 0.6178029977837919, + 0.5920071746553925, + 0.5735981896530801, + 0.5633774393475995, + 0.5619700639616017, + 0.5698084029174225, + 0.5871197578456574, + 0.6139187814925046, + 0.650004701377808, + 0.6949634720657487, + 0.7481748323154168, + 0.8088241260459456, + 0.8759186318445145, + 0.948308037455879, + 1.0247085959674316, + 1.1037304116849003, + 1.1839072281535936, + 1.263728030270117, + 1.3416697284343966, + 1.4162301662918864, + 1.4859606854619152, + 1.549497490943239, + 1.6055910893845762, + 1.653133118412471, + 1.6911799475992968, + 1.7189725089079204, + 1.7359519046799605, + 1.7417704422391787, + 1.736297853494205, + 1.7196225728785859, + 1.6920480647572058, + 1.6540843091861035, + 1.6064346697705774, + 1.5499784765315006, + 1.4857497575120222, + 1.4149126428945413, + 1.3387340424768215, + 1.2585542596240034, + 1.1757562507835266, + 1.0917342682396172, + 1.007862634338602, + 0.9254653877261865, + 0.8457875164430909, + 0.7699684497081897, + 0.6990184209869105, + 0.6337982410022095, + 0.5750029325612513, + 0.5231495816209222, + 0.4785696533364257, + 0.4414059105642084, + 0.4116139581906837, + 0.38896832256265584, + 0.37307286402838363, + 0.3633752149078595, + 0.359184837700094, + 0.3596942113983308, + 0.36400257954693566, + 0.3711416339415653, + 0.38010246408736015, + 0.389863075728257, + 0.3994157725583359, + 0.40779370379746493, + 0.414095906388296, + 0.4175102134431898, + 0.41733345911265857, + 0.41298848274639977, + 0.4040375202071679, + 0.3901916653054441, + 0.3713161871279051, + 0.3474315969246575, + 0.31871046846500084, + 0.2854701255796959, + 0.2481614172046858, + 0.20735390093599684, + 0.16371784835896908, + 0.11800356690213046, + 0.07101860163541628, + 0.023603434556368964, + -0.023393662873854058, + -0.0691419468292929, + -0.1128530067825508, + -0.15380439220140096, + -0.1913614234347877, + -0.22499659700274963, + -0.25430605774380266, + -0.279022686119927, + -0.2990254365169172, + -0.31434465939431944, + -0.3251632441822618, + -0.33181352826097316, + -0.3347700274486954, + -0.3346381523766597, + -0.33213918018300737, + -0.3280918494431803, + -0.32339103566606653, + -0.31898404274156344, + -0.3158451104264035, + -0.3149487876339639, + -0.3172428546570783, + -0.32362149361484127, + -0.3348994049188133, + -0.3517875483864826, + -0.3748711512183509, + -0.40459057226029704, + -0.4412255440671652, + -0.4848832329194747, + -0.5354904641153269, + -0.5927903578470421, + -0.656343512294093, + -0.7255337579096283, + -0.7995783930416555, + -0.8775426988418513, + -0.9583584236706633, + -1.0408458265983718, + -1.1237387786491755, + -1.2057123414251067, + -1.2854121776752792, + -1.3614850988981153, + -1.432610022452417, + -1.4975285957654645, + -1.5550747484844325, + -1.6042024547959206, + -1.6440110271637038, + -1.6737673184983306, + -1.6929242809500173, + -1.7011354144026485, + -1.698264734295738, + -1.6843919942761185, + -1.6598130118126222, + -1.6250350615556335, + -1.5807674190474559, + -1.5279072535143763, + -1.4675211800614971, + -1.400822885918469, + -1.3291473398964404, + -1.2539221765992117, + -1.1766369151667018, + -1.0988107247430365, + -1.0219594841683068, + -0.947562900724118, + -0.8770324516902275, + -0.811680893015176, + -0.7526940420396315, + -0.7011054868481519, + -0.6577748047895217, + -0.6233697887075159, + -0.5983530835138126, + -0.582973530254398, + -0.5772624023446312, + -0.5810346019199276, + -0.5938947661147986, + -0.6152481164202386, + -0.6443157719167469, + -0.6801541418674915, + -0.721677917436781, + -0.7676860984883946, + -0.8168904215357105, + -0.8679455006357306, + -0.9194799556305018, + -0.9701277825135631, + -1.0185592192692905, + -1.0635103772837047, + -1.1038109428943266, + -1.1384093049355473, + -1.166394530933887, + -1.1870146952243221, + -1.1996911546660454, + -1.2040284695194226, + -1.199819775861474, + -1.1870475289555225, + -1.1658796514438612, + -1.1366612332638157, + -1.0999020390026546, + -1.0562601803214848, + -1.0065224035863143, + -0.9515815236786556, + -0.8924116021467968, + -0.8300415197744676, + -0.7655276290420208, + -0.6999261900069308, + -0.6342662934401179, + -0.569523957670432, + -0.5065980510016889, + -0.44628864069382373, + -0.38927830366637267, + -0.33611685498480404, + -0.2872098598535819, + -0.24281119556775357, + -0.20301982419089143, + -0.16778082731215493, + -0.13689064385950642, + -0.11000634340047066, + -0.08665866338760912, + -0.06626844202651476, + -0.04816599129908719, + -0.03161287935934822, + -0.015825529928593842, + -1.5011548028462238e-16 + ], + [ + 0, + 0.016900258635844993, + 0.03571586617310471, + 0.0571118043688341, + 0.08166618324264982, + 0.10985136796354489, + 0.14201801711694456, + 0.17838247010420993, + 0.21901783466944286, + 0.26384902966180857, + 0.3126519355508415, + 0.365056698513009, + 0.42055512580144316, + 0.478512003336361, + 0.5381800637197579, + 0.5987182367943457, + 0.6592127278792266, + 0.7187003931439173, + 0.7761938191671225, + 0.8307074661763392, + 0.8812842030173138, + 0.9270215473950683, + 0.9670969277735675, + 1.0007913034979223, + 1.02751051675565, + 1.0468038030430162, + 1.058378954567621, + 1.0621137118474195, + 1.0580630506774051, + 1.046462132365321, + 1.0277247921989647, + 1.002437551848422, + 0.9713492530776854, + 0.9353565199628251, + 0.8954853620493224, + 0.852869328897658, + 0.8087247148061208, + 0.7643233889392728, + 0.7209638886964247, + 0.6799414613319409, + 0.6425177693719424, + 0.6098909884530638, + 0.5831670214610597, + 0.5633325303330257, + 0.5512304471080683, + 0.5475385696960234, + 0.5527517767153033, + 0.567168311334447, + 0.5908804883732389, + 0.6237700742947794, + 0.6655084786898126, + 0.7155617811205142, + 0.7732005015491602, + 0.8375139088501165, + 0.9074285528702537, + 0.9817306038301149, + 1.059091491034985, + 1.1380962531413228, + 1.2172739465549631, + 1.2951294085350855, + 1.3701756384717543, + 1.4409660454103803, + 1.5061258125970771, + 1.564381650553605, + 1.6145892484581221, + 1.6557577884770347, + 1.687070957826687, + 1.7079039770308877, + 1.7178362580392557, + 1.7166594102596981, + 1.704380423589071, + 1.6812199724921832, + 1.647605901278731, + 1.6041620651335895, + 1.5516928113852668, + 1.491163488280204, + 1.4236774616751555, + 1.3504502013141515, + 1.2727810657628673, + 1.1920234670174004, + 1.1095541310536372, + 1.0267421883176997, + 0.9449188279888417, + 0.8653482318261814, + 0.7892004680319058, + 0.7175269737438266, + 0.6512391878312178, + 0.5910908153008441, + 0.537664112844304, + 0.49136048416951583, + 0.45239556627490785, + 0.42079887641856234, + 0.39641797697115094, + 0.37892700440837285, + 0.36783930213626853, + 0.3625237972773399, + 0.362224671423026, + 0.3660837968851795, + 0.37316534506742366, + 0.382481923796864, + 0.393021566997658, + 0.40377488373139586, + 0.41376167472798897, + 0.42205634300173056, + 0.42781146047362845, + 0.43027890376639716, + 0.4288280381698218, + 0.42296050749658626, + 0.4123212771473108, + 0.39670567589499256, + 0.3760622861882011, + 0.3504916405151651, + 0.32024078984059584, + 0.2856939165824863, + 0.24735926635031302, + 0.2058527671531847, + 0.1618787896266453, + 0.1162085748845961, + 0.06965691604147965, + 0.023057723776654167, + -0.022760865583523752, + -0.06700116981206808, + -0.1089197647249977, + -0.14784977175665928, + -0.18322102812254057, + -0.2145775935005389, + -0.24159211619903076, + -0.26407666313347333, + -0.28198970954539126, + -0.2954390839516408, + -0.30468076878954736, + -0.31011356496800324, + -0.31226973631720367, + -0.31180185501798025, + -0.30946616881805544, + -0.30610290267128837, + -0.3026139890265279, + -0.29993879025878417, + -0.29902843189713924, + -0.30081940493309867, + -0.306207118548923, + -0.3160200904613075, + -0.330995450535007, + -0.3517564046227651, + -0.378792260401473, + -0.41244155638328733, + -0.4528787607555192, + -0.5001049200668163, + -0.5539425411586005, + -0.6140348855226708, + -0.6798497460261, + -0.7506876643918607, + -0.8256944367305817, + -0.903877646552939, + -0.9841268627470303, + -1.065237046533206, + -1.145934628758786, + -1.2249056491510204, + -1.3008252940789717, + -1.372388130393248, + -1.438338311031692, + -1.4974990238931578, + -1.5488004691482753, + -1.5913056813929836, + -1.6242335611399579, + -1.6469785439513027, + -1.6591264135187618, + -1.660465855319018, + -1.6509954479287379, + -1.6309258972409004, + -1.60067743205177, + -1.5608723950291061, + -1.5123231781088757, + -1.4560157630902393, + -1.3930892338760557, + -1.3248117238520405, + -1.2525533479358797, + -1.177756741748392, + -1.1019058883734962, + -1.0264939548570926, + -0.9529908849210446, + -0.8828115007361319, + -0.8172848548454053, + -0.7576255437389169, + -0.7049076478705125, + -0.6600419002152954, + -0.6237566083209841, + -0.5965827650897129, + -0.5788436834279421, + -0.5706493818632711, + -0.5718958348831371, + -0.5822690858646855, + -0.6012541048607544, + -0.6281481609974561, + -0.662078372559085, + -0.7020229995750664, + -0.746835956260392, + -0.7952739461069686, + -0.8460255625697605, + -0.8977416545665918, + -0.9490662294432891, + -0.9986671572526613, + -1.04526594932513, + -1.0876659108970472, + -1.1247780113032326, + -1.1556438748092166, + -1.1794553690450338, + -1.1955703543453615, + -1.2035242539353799, + -1.203037209414395, + -1.1940166957764937, + -1.1765555825413876, + -1.1509257396643793, + -1.1175673959794752, + -1.077074561312435, + -1.0301769185369343, + -0.9777186764036186, + -0.9206349458831229, + -0.8599262602838125, + -0.7966319011488382, + -0.7318027169163014, + -0.6664741289724355, + -0.6016400099055081, + -0.5382280917784061, + -0.4770775188097466, + -0.41891910012515765, + -0.3643587457308044, + -0.3138644844310219, + -0.2677573682169676, + -0.22620646609043296, + -0.18922804393387446, + -0.15668891858828043, + -0.12831386649724266, + -0.10369686284112732, + -0.08231582865409978, + -0.06355047346974445, + -0.046702741842701505, + -0.03101930563653576, + -0.015715491921897525, + -1.5075962138870204e-16 + ], + [ + 0, + 0.017233014136307435, + 0.03666197535990932, + 0.058897684947541405, + 0.08445540939795637, + 0.11373789174163673, + 0.14702147284925032, + 0.18444570495185664, + 0.2260067489830111, + 0.27155474914060745, + 0.3207952747302037, + 0.3732948135080775, + 0.428490195073014, + 0.48570172004056733, + 0.5441496733829103, + 0.602973810907497, + 0.6612553286580424, + 0.7180407580773188, + 0.7723671767935618, + 0.8232880872533276, + 0.8698992941128719, + 0.9113641068988759, + 0.9469372071158123, + 0.9759865484420717, + 0.9980127042292919, + 1.0126651371037065, + 1.0197549395912695, + 1.0192636805348223, + 1.0113480875296101, + 0.9963403983165108, + 0.9747443214974515, + 0.9472266564085741, + 0.9146047307806136, + 0.8778299202200173, + 0.837967612924365, + 0.7961740739105306, + 0.7536707430992139, + 0.7117165688425633, + 0.671579031194149, + 0.6345045460500829, + 0.6016889612746529, + 0.574248858516225, + 0.5531943595009671, + 0.5394041034774294, + 0.5336030139134446, + 0.536343408665233, + 0.5479899301736655, + 0.5687086826635176, + 0.5984608639941332, + 0.6370010731436833, + 0.6838803628979929, + 0.7384539938732424, + 0.7998937332978455, + 0.867204432766352, + 0.9392445161287131, + 1.014749914315002, + 1.092360900531459, + 1.1706512089438168, + 1.2481587644154457, + 1.3234173114572734, + 1.3949882082458942, + 1.4614916469285852, + 1.5216365745807776, + 1.5742486197978638, + 1.6182953772473891, + 1.6529084654278918, + 1.6774018498441687, + 1.691286012939501, + 1.6942776512496893, + 1.6863046869448772, + 1.6675064926013685, + 1.6382293419759286, + 1.5990172129646067, + 1.5505981790577132, + 1.493866729775894, + 1.4298624562618985, + 1.3597456230920446, + 1.2847702194122428, + 1.2062551399647166, + 1.1255541880836413, + 1.0440256173237645, + 0.9630019354871852, + 0.8837606843012664, + 0.8074968801802034, + 0.7352977571047616, + 0.6681203928158747, + 0.6067727257537777, + 0.5518983843403434, + 0.5039656544477521, + 0.4632608076109888, + 0.42988590429538565, + 0.4037610760107691, + 0.3846311800082634, + 0.3720766134242618, + 0.36552797268319565, + 0.3642841512210521, + 0.3675333864177351, + 0.3743766970333585, + 0.3838530971191128, + 0.3949659326465182, + 0.4067096639076389, + 0.4180964106071751, + 0.4281815875928795, + 0.4360879870230218, + 0.44102770669872976, + 0.44232138314503655, + 0.4394142602865316, + 0.4318887083784473, + 0.41947290108266067, + 0.4020454588494211, + 0.3796359715360039, + 0.3524214198104891, + 0.3207186206577116, + 0.28497292455538975, + 0.24574348804371032, + 0.20368553304948142, + 0.15953008124175386, + 0.11406171595635937, + 0.06809497421941685, + 0.02245000587187582, + -0.02207184511240599, + -0.06471188076161515, + -0.10477666993313316, + -0.14165884111733507, + -0.17485548618532215, + -0.20398367615895707, + -0.22879266504783577, + -0.24917244372192895, + -0.2651584004963347, + -0.27693194619922534, + -0.2848170664166727, + -0.2892728697011532, + -0.2908823051051269, + -0.2903373228036028, + -0.2884208452485979, + -0.2859860008687177, + -0.2839331456293507, + -0.2831852579242802, + -0.2846623377262944, + -0.2892554704981624, + -0.29780122926799113, + -0.31105708413363786, + -0.3296784673351638, + -0.3541981044038608, + -0.3850081686569875, + -0.42234574874749087, + -0.46628203874700425, + -0.5167155693078155, + -0.5733696990566485, + -0.635794479977261, + -0.7033729017526775, + -0.7753314105644156, + -0.8507544904116737, + -0.9286029922999787, + -1.0077358012268176, + -1.086934345156573, + -1.1649293762892927, + -1.2404293947579776, + -1.312150039973213, + -1.3788437463325531, + -1.4393289486822338, + -1.4925181290943732, + -1.5374440201057469, + -1.573283320026289, + -1.5993773323202152, + -1.6152490120496923, + -1.6206159862468505, + -1.615399209820898, + -1.5997270219186321, + -1.5739344770291246, + -1.5385579378945762, + -1.4943250307093616, + -1.442140174388761, + -1.3830660021464023, + -1.3183010926301808, + -1.2491545170041054, + -1.1770177854431765, + -1.103334839637229, + -1.0295707855265166, + -0.957180091443748, + -0.8875749903492436, + -0.8220948205796698, + -0.7619770175834274, + -0.7083304300172143, + -0.66211157827798, + -0.624104403389131, + -0.5949039708589967, + -0.5749044997142915, + -0.5642919836839881, + -0.5630415619866693, + -0.5709196840266001, + -0.5874909982868813, + -0.6121297835976923, + -0.6440356334799558, + -0.6822530040296182, + -0.7256941452446835, + -0.7731648569951507, + -0.8233924458908072, + -0.87505520966824, + -0.9268127425736273, + -0.9773363393316522, + -1.0253387770080213, + -1.0696027733049824, + -1.1090074560560537, + -1.1425522309717324, + -1.1693775017014498, + -1.1887817763278754, + -1.2002347854895183, + -1.2033863371594196, + -1.1980707392042964, + -1.1843067305724917, + -1.1622929725897442, + -1.1323992606419029, + -1.0951537208077629, + -1.0512263532055408, + -1.0014093715472128, + -0.9465948645106084, + -0.8877503671876246, + -0.8258929785351847, + -0.7620626923067727, + -0.6972956236430897, + -0.6325978110390885, + -0.5689202538982041, + -0.5071358098748381, + -0.4480185246461305, + -0.3922259009833795, + -0.34028453570451256, + -0.29257946428420417, + -0.2493474558398069, + -0.21067439836434917, + -0.17649680804853543, + -0.14660739000405437, + -0.12066447336124092, + -0.09820504419723373, + -0.07866100756378772, + -0.06137822734742141, + -0.045637821883813365, + -0.030679135941943773, + -0.0157237673285409, + -1.5240771933344432e-16 + ], + [ + 0, + 0.017648943855769556, + 0.03774398356342359, + 0.06083794780947726, + 0.08738065604913528, + 0.11770390126355057, + 0.15200970567859476, + 0.19036217464114127, + 0.2326831803687296, + 0.2787520077331241, + 0.3282089911289051, + 0.3805630674272587, + 0.4352030676608056, + 0.4914124720255813, + 0.5483872615136602, + 0.6052564173289573, + 0.6611045482876845, + 0.714996068482999, + 0.7660003040947945, + 0.8132168804821968, + 0.855800729348475, + 0.8929860611460518, + 0.9241086699042672, + 0.948625975808538, + 0.9661342642253238, + 0.9763826471588208, + 0.9792833526972468, + 0.97491803790324, + 0.9635399186061752, + 0.9455716132388154, + 0.9215987046541709, + 0.8923591311048461, + 0.8587286225934802, + 0.8217024989849, + 0.7823742390991386, + 0.741911313146584, + 0.7015288422254499, + 0.662461706367615, + 0.6259357653153818, + 0.5931388827324267, + 0.5651924541890224, + 0.5431241317226188, + 0.5278424131921939, + 0.5201137235722382, + 0.5205425587315772, + 0.5295551914606573, + 0.5473873562475909, + 0.5740762355682724, + 0.6094569685206127, + 0.653163794974587, + 0.704635837650118, + 0.7631274133760466, + 0.8277226559411516, + 0.89735412908499, + 0.9708250118356464, + 1.0468343519451664, + 1.1240048087232608, + 1.2009122459551804, + 1.2761164903022153, + 1.3481925417401694, + 1.4157615109076584, + 1.477520564006814, + 1.5322711789923171, + 1.5789450566436702, + 1.6166270857737777, + 1.6445748319303808, + 1.6622341017885542, + 1.6692502289938995, + 1.6654748292166606, + 1.6509678801311116, + 1.62599509331162, + 1.5910206569269638, + 1.5466955378947762, + 1.4938416371595775, + 1.4334321894315325, + 1.3665688867021089, + 1.2944562810106814, + 1.218374084439432, + 1.1396480316659694, + 1.0596200014823705, + 0.9796181077744255, + 0.9009274672440927, + 0.8247623307747521, + 0.7522402283283552, + 0.6843587245799596, + 0.6219753154757558, + 0.5657909162341171, + 0.5163373009917344, + 0.47396875558380314, + 0.43885810029587735, + 0.41099713143428074, + 0.39020142190745255, + 0.3761193143783256, + 0.36824483856766244, + 0.36593418946882805, + 0.3684253179011461, + 0.3748601110663759, + 0.3843085803735957, + 0.39579442821828487, + 0.408321335726261, + 0.4208993003886839, + 0.43257035629223656, + 0.44243303013946256, + 0.4496649228923464, + 0.4535428586897555, + 0.4534601083413987, + 0.4489402724993212, + 0.43964749756399135, + 0.425392793256245, + 0.4061363221450566, + 0.3819856356971383, + 0.3531899359714771, + 0.3201305442807991, + 0.2833078554061215, + 0.24332514583099643, + 0.2008696846979581, + 0.1566916647656004, + 0.11158152583995908, + 0.06634628358637659, + 0.021785501288022337, + -0.021332449607181253, + -0.062293202617189784, + -0.10045767017230767, + -0.1352812059214875, + -0.16633013805421315, + -0.19329522471350566, + -0.2160016625698149, + -0.23441536916857297, + -0.2486453564889435, + -0.25894211480609153, + -0.2656920298592961, + -0.26940795985976307, + -0.2707161993988054, + -0.2703401522858699, + -0.2690811223405203, + -0.2677967079646665, + -0.26737735096607057, + -0.26872164092953504, + -0.272711012120877, + -0.2801844895219214, + -0.2919141435950403, + -0.3085818996421958, + -0.3307583174542209, + -0.3588839110519978, + -0.3932535178082415, + -0.4340041525810375, + -0.4811066974942174, + -0.5343616837583762, + -0.5933993207689106, + -0.6576838221504403, + -0.7265219710627424, + -0.7990757606146801, + -0.874378842306438, + -0.9513564186114439, + -1.0288481275462393, + -1.1056333895809973, + -1.1804586224752545, + -1.2520656792302438, + -1.319220829627151, + -1.3807435876794596, + -1.4355346862690301, + -1.4826025163398537, + -1.5210873809465941, + -1.550282963437176, + -1.5696544729313713, + -1.5788530075132432, + -1.5777257643237417, + -1.5663218238734844, + -1.5448933410132104, + -1.513892084543202, + -1.4739613787428454, + -1.4259236104402042, + -1.3707635719216822, + -1.309608010392163, + -1.2437018463767184, + -1.1743816041566282, + -1.1030466650741426, + -1.0311290076556667, + -0.9600621356839181, + -0.8912499156768923, + -0.8260360481985869, + -0.7656748829516441, + -0.7113042560307901, + -0.6639209798122555, + -0.6243595528817919, + -0.5932745806979312, + -0.5711273092162149, + -0.5581765756203335, + -0.5544743750079947, + -0.559866131928982, + -0.5739956537486213, + -0.5963146316365796, + -0.6260964472628684, + -0.6624539416371202, + -0.7043607094191906, + -0.7506753997126031, + -0.8001684348130896, + -0.851550503292959, + -0.9035021444710473, + -0.9547037186721572, + -1.0038650522319377, + -1.0497540580427374, + -1.0912236612276247, + -1.1272364045210037, + -1.1568861679763498, + -1.1794165111963362, + -1.1942352315399865, + -1.2009248265732324, + -1.199248651029277, + -1.189152665197863, + -1.170762780322215, + -1.1443779145599933, + -1.110458977693856, + -1.069614101480944, + -1.0225805228842537, + -0.9702036072206156, + -0.913413565545306, + -0.8532004737425427, + -0.7905882385299097, + -0.7266081770250487, + -0.6622728811841551, + -0.5985510262427767, + -0.5363437536289309, + -0.4764632144457437, + -0.4196138006957905, + -0.3663765194634725, + -0.31719688212928965, + -0.27237658848149504, + -0.23206918666030374, + -0.19627978672594731, + -0.16486880089416284, + -0.13755957977734654, + -0.1139497139226588, + -0.0935256760704607, + -0.07568039422984484, + -0.059733271027657915, + -0.04495210270706543, + -0.030576303187719648, + -0.01584080595161015, + -1.5495823325931208e-16 + ], + [ + 0, + 0.018135374489706722, + 0.038935030524830036, + 0.06289074328328245, + 0.09038502905269537, + 0.1216781637813837, + 0.15689860142754053, + 0.19603705942961186, + 0.23894444322884578, + 0.2853336818405288, + 0.3347854445257024, + 0.38675760724481745, + 0.4405982393510796, + 0.4955617883995275, + 0.5508280563640925, + 0.6055234861263252, + 0.6587442147307027, + 0.7095803011963217, + 0.7571405028960243, + 0.8005769565513038, + 0.8391091182386125, + 0.8720463315453649, + 0.8988084238263006, + 0.9189437766637535, + 0.9321443770137815, + 0.938257428650693, + 0.9372931876096304, + 0.9294287782973506, + 0.9150078464952769, + 0.8945360091471458, + 0.8686721660287056, + 0.8382158425173915, + 0.8040908331152853, + 0.7673255096141214, + 0.7290302434606882, + 0.6903724668255683, + 0.6525499592009013, + 0.6167629944651418, + 0.5841860160153192, + 0.5559395239207114, + 0.5330628576387941, + 0.5164885406114285, + 0.5070188193986018, + 0.5053049806878935, + 0.5118299657074262, + 0.5268947247957535, + 0.5506086669937226, + 0.5828844626479791, + 0.6234373535057153, + 0.6717890171549386, + 0.7272759235487379, + 0.7890620134111631, + 0.8561554241966136, + 0.9274288915142861, + 1.0016433649311565, + 1.077474299015916, + 1.1535400153006528, + 1.2284314801215854, + 1.3007428083062582, + 1.3691017842691344, + 1.4321996907219188, + 1.48881975094248, + 1.5378635230027804, + 1.5783746327468982, + 1.6095592954611109, + 1.6308031525530609, + 1.6416840372970318, + 1.6419803806702424, + 1.6316750721383138, + 1.6109546984175773, + 1.5802041931132484, + 1.5399970390318045, + 1.49108127024478, + 1.4343616200824918, + 1.3708782517564333, + 1.3017825880578657, + 1.2283108236334677, + 1.1517557560870624, + 1.073437609342161, + 0.9946745434507948, + 0.9167535488812328, + 0.8409024102089873, + 0.7682633944365703, + 0.6998692736497448, + 0.6366222315417496, + 0.5792761300202809, + 0.5284225274944944, + 0.48448074663474866, + 0.44769218874267747, + 0.41811898686364907, + 0.3956469830201691, + 0.37999290908306566, + 0.37071554843916293, + 0.36723055927875903, + 0.36882855237776735, + 0.3746959388387378, + 0.3839379982665894, + 0.3956035668604948, + 0.4087107091233311, + 0.4222727171637227, + 0.4353237783308022, + 0.4469436652045858, + 0.45628083137958136, + 0.46257334123885985, + 0.4651671208516342, + 0.4635310887191154, + 0.45726880750729937, + 0.44612638904052937, + 0.4299964823706997, + 0.4089182762120989, + 0.3830735498749269, + 0.35277890844496457, + 0.31847443578102796, + 0.2807090904726852, + 0.24012325291562786, + 0.1974289040359985, + 0.15338797611297117, + 0.10878946211069865, + 0.06442590078897623, + 0.02106986984996236, + -0.02054888187047403, + -0.05976504960105018, + -0.09599755484384404, + -0.12876696229748658, + -0.15771006095618045, + -0.18259121271089185, + -0.20331015587927556, + -0.2199060432958248, + -0.23255759256778247, + -0.2415793273633278, + -0.24741399058001046, + -0.2506213103567255, + -0.25186339559999127, + -0.25188712656160017, + -0.2515039857660688, + -0.25156784320546577, + -0.2529512654363102, + -0.25652095959053384, + -0.26311298927025834, + -0.2735084091405008, + -0.28840995847405376, + -0.30842043105926864, + -0.33402330028328886, + -0.36556612477537237, + -0.40324719303543605, + -0.4471057866214452, + -0.49701635266618405, + -0.5526867799325295, + -0.6136608706887112, + -0.6793249959222054, + -0.7489188164205136, + -0.8215498496482974, + -0.8962115647087701, + -0.9718045974409646, + -1.047160597143086, + -1.1210681475598565, + -1.1923001493773095, + -1.2596420109494224, + -1.321919969390847, + -1.378028856168744, + -1.426958630165772, + -1.4678190267007114, + -1.4998617126057432, + -1.5224993941938914, + -1.535321395454857, + -1.5381053063990933, + -1.5308243941335324, + -1.5136505697514693, + -1.4869528100102472, + -1.4512910414736446, + -1.407405603657778, + -1.3562025140790053, + -1.2987348593565486, + -1.2361807301898065, + -1.1698182018131935, + -1.100997933371223, + -1.0311140177871176, + -0.9615737566863354, + -0.8937670617199799, + -0.8290361935458864, + -0.7686465425138969, + -0.7137591309325112, + -0.6654054762480285, + -0.6244653985269122, + -0.5916482856563946, + -0.5674782473704048, + -0.5522834965719782, + -0.5461901957160752, + -0.54912089969163, + -0.560797617288439, + -0.5807494036154695, + -0.6083242884217079, + -0.6427052427696186, + -0.6829297914125595, + -0.7279127928351233, + -0.7764718352929797, + -0.8273546371084304, + -0.8792677943777899, + -0.9309061901946699, + -0.9809823671622037, + -1.0282551696178215, + -1.0715569834696008, + -1.1098189392734064, + -1.142093497195518, + -1.1675738994633267, + -1.1856100551224302, + -1.1957205114092866, + -1.1976002635826544, + -1.1911242582080948, + -1.176346551098936, + -1.1534951877548492, + -1.1229629785716633, + -1.0852944407497989, + -1.0411692712545175, + -0.9913827981144439, + -0.9368239287616681, + -0.8784511722838179, + -0.8172673559752975, + -0.7542936844085748, + -0.6905438007565243, + -0.6269985050505564, + -0.5645817626371209, + -0.5041385988854998, + -0.44641542418346225, + -0.39204326778318965, + -0.34152432181024356, + -0.29522210969671253, + -0.25335549866115464, + -0.2159966760336944, + -0.18307310674157867, + -0.15437338671800058, + -0.12955680696232671, + -0.10816634798326441, + -0.0896447367882491, + -0.07335312064310995, + -0.05859184547209271, + -0.044622773662226015, + -0.030692537505876784, + -0.016056101521166266, + -1.5830222531772738e-16 + ], + [ + 0, + 0.01867916782778503, + 0.04020770864736438, + 0.06501398826521841, + 0.0934121108711045, + 0.1255910149718665, + 0.1616070597627318, + 0.2013803111441625, + 0.24469464024095303, + 0.29120164790208375, + 0.3404283287744678, + 0.3917882906852331, + 0.4445962517206399, + 0.4980854509288857, + 0.5514275312017274, + 0.6037543865827156, + 0.6541814127086047, + 0.7018315596972392, + 0.7458595625782565, + 0.7854757159710357, + 0.8199685673997593, + 0.8487259272475147, + 0.871253632339484, + 0.8871915535724174, + 0.8963264045730538, + 0.8986009864397821, + 0.8941195912759903, + 0.8831493822931336, + 0.8661176683892725, + 0.8436050938060482, + 0.8163348661754198, + 0.785158246422556, + 0.7510366190864681, + 0.7150205492687688, + 0.6782263104169832, + 0.6418104335199749, + 0.6069428813522134, + 0.5747794897895346, + 0.5464343409318256, + 0.5229527391937469, + 0.5052854514512849, + 0.4942648459555735, + 0.49058352264544697, + 0.49477597069547846, + 0.507203718980854, + 0.5280443633109032, + 0.5572847627570005, + 0.5947185983980738, + 0.6399483837363099, + 0.6923919094338793, + 0.7512929984919092, + 0.8157363441411346, + 0.8846661040829399, + 0.95690783372857, + 1.0311932599670683, + 1.1061873277432785, + 1.180516896051191, + 1.2528004192190023, + 1.3216779245892003, + 1.3858405894980956, + 1.4440592290475476, + 1.4952110313383744, + 1.5383039179961473, + 1.5724979639690553, + 1.5971233803515663, + 1.6116946456897336, + 1.615920462865812, + 1.6097093180098667, + 1.5931705225248454, + 1.5666107266914264, + 1.5305260008261756, + 1.4855896849862922, + 1.4326363081943847, + 1.372641970671008, + 1.3067016653699661, + 1.2360040862109767, + 1.1618045280847078, + 1.085396526586648, + 1.0080829125031743, + 0.931146966700717, + 0.8558243550355663, + 0.7832765003970511, + 0.7145660106135532, + 0.6506347276719288, + 0.5922848968740917, + 0.5401638758578461, + 0.49475271481037225, + 0.456358842909406, + 0.4251129944320375, + 0.400970403592552, + 0.38371619259067374, + 0.3729747751509327, + 0.3682230005290346, + 0.36880667294151914, + 0.3739600008442041, + 0.38282746140614915, + 0.3944875095737553, + 0.407977519638962, + 0.4223193211984806, + 0.4365446814132411, + 0.44972009174357885, + 0.46097023963608386, + 0.469499583362995, + 0.47461150037193156, + 0.475724544741525, + 0.4723854259822211, + 0.4642784075143224, + 0.45123091650786884, + 0.4332152550139786, + 0.4103464029692905, + 0.38287600417254497, + 0.3511827241806951, + 0.31575926178789976, + 0.27719638100300337, + 0.23616440608908112, + 0.19339268637542187, + 0.14964758859262686, + 0.10570961114079536, + 0.06235023606791833, + 0.020309140084750977, + -0.019727624453563988, + -0.05714789373541746, + -0.09143155805466037, + -0.12216613997371464, + -0.149059363894031, + -0.17194837426047746, + -0.19080534689986609, + -0.20573933190884336, + -0.21699426468277813, + -0.2249431816264672, + -0.23007877627468995, + -0.233000527458351, + -0.23439872134315642, + -0.23503577134694634, + -0.2357253120125682, + -0.23730960303111442, + -0.24063582622911886, + -0.24653189024393024, + -0.2557823739726523, + -0.26910524023990723, + -0.28712993543708776, + -0.3103774594925022, + -0.33924294418390566, + -0.3739812176247006, + -0.4146957602135119, + -0.46133137421735454, + -0.5136707975129505, + -0.571335394108053, + -0.6337899523355909, + -0.7003515185892925, + -0.7702020927196069, + -0.8424049132767012, + -0.9159239691272293, + -0.9896462908871503, + -1.062406503199854, + -1.133013058982533, + -1.2002755308935291, + -1.2630323046228356, + -1.3201780039873379, + -1.3706899796355676, + -1.4136532114419342, + -1.4482830089986531, + -1.4739449441984744, + -1.4901715135677718, + -1.4966751042324231, + -1.4933569243408222, + -1.4803116543236854, + -1.4578276772178587, + -1.4263828519407358, + -1.3866359002951507, + -1.339413583999053, + -1.2856939495875408, + -1.226586014138377, + -1.163306351092003, + -1.0971531108532588, + -1.0294780735182796, + -0.9616573794228187, + -0.8950616160617716, + -0.8310259564683415, + -0.7708210439480456, + -0.7156253011302732, + -0.6664993080311092, + -0.6243628450183978, + -0.5899751334169492, + -0.5639187305227252, + -0.5465874488584332, + -0.5381785737155332, + -0.5386895507218418, + -0.5479192088410068, + -0.5654734764388156, + -0.5907754414638615, + -0.6230795039780274, + -0.6614892727324577, + -0.7049787695580524, + -0.7524164281534426, + -0.8025913092698588, + -0.8542409038613576, + -0.9060798606922399, + -0.9568289559935462, + -1.005243620461951, + -1.0501413532129726, + -1.0904273828438902, + -1.1251179817396846, + -1.153360899998487, + -1.17445245834424, + -1.1878509233045118, + -1.1931858806666369, + -1.190263422478504, + -1.1790670661676752, + -1.1597544291564237, + -1.132649786061068, + -1.0982327356251367, + -1.0571232984868597, + -1.0100638524186998, + -0.9578983867101399, + -0.9015496200703051, + -0.8419945752898541, + -0.7802392377547547, + -0.7172929429568584, + -0.654143140001288, + -0.5917311637760282, + -0.530929618336097, + -0.4725219289668439, + -0.41718456150380245, + -0.3654723363179385, + -0.3178071827467601, + -0.2744705897431846, + -0.2355999124107504, + -0.2011885943297261, + -0.17109026467544447, + -0.14502656963362123, + -0.12259850203432855, + -0.10330090386153674, + -0.08653973559163744, + -0.07165163619714017, + -0.057925239877495024, + -0.04462367159202038, + -0.03100761436653307, + -0.0163583278462201, + -1.6232471968196038e-16 + ], + [ + 0, + 0.01926687663500131, + 0.04153437932811081, + 0.0671658392724598, + 0.0964065783667572, + 0.1293751015385808, + 0.16605783426697343, + 0.2063075567557188, + 0.24984558982734903, + 0.29626768968369693, + 0.3450535116957801, + 0.39557940980605405, + 0.4471342503279553, + 0.4989378391460945, + 0.5501614915909147, + 0.5999502163688739, + 0.647445940362501, + 0.6918111710301712, + 0.7322524783269214, + 0.768043178946321, + 0.798544622267269, + 0.8232255093023972, + 0.8416787224251053, + 0.8536352035720991, + 0.8589744905106313, + 0.8577316028548141, + 0.8501000597846267, + 0.8364309076273416, + 0.8172277352133919, + 0.7931377557329142, + 0.7649391331789316, + 0.7335248268825428, + 0.6998833167313531, + 0.6650766521734688, + 0.6302163380130593, + 0.5964376275254625, + 0.5648728370900958, + 0.5366243252277663, + 0.5127377918746082, + 0.4941765505552873, + 0.48179740685910105, + 0.47632874169821887, + 0.47835134804975415, + 0.488282506433777, + 0.5063637087786244, + 0.5326523543969129, + 0.5670176476224138, + 0.6091408265284478, + 0.6585197485024109, + 0.7144777538188556, + 0.7761766252938639, + 0.8426333631402897, + 0.9127404017034894, + 0.9852888111104064, + 1.0589939540680222, + 1.1325230078931243, + 1.2045237158286783, + 1.2736537009423776, + 1.3386096611764935, + 1.3981557657988049, + 1.451150591564584, + 1.4965719709099794, + 1.5335391736385047, + 1.5613319066437683, + 1.57940569170166, + 1.5874032674280978, + 1.5851617560399667, + 1.572715436275719, + 1.550294068276298, + 1.5183168218547836, + 1.4773819638247268, + 1.4282525603786633, + 1.371838544473773, + 1.3091755835128516, + 1.2414012572413136, + 1.1697291179148688, + 1.0954212529362641, + 1.0197600031669165, + 0.944019507216386, + 0.8694377428182086, + 0.7971897209327125, + 0.7283624568951576, + 0.6639322965580087, + 0.6047451151354534, + 0.5514998338618683, + 0.5047356164398943, + 0.4648230156509674, + 0.4319592427082643, + 0.40616763037416914, + 0.3873012580540015, + 0.375050605553073, + 0.3689550044457724, + 0.368417564454752, + 0.37272316911818465, + 0.3810590623622969, + 0.39253748715982123, + 0.40621979070019254, + 0.42114137853866856, + 0.43633688377336177, + 0.4508649167775168, + 0.4638317763489127, + 0.4744135338939328, + 0.4818759476218985, + 0.48559172250481036, + 0.48505470244490195, + 0.4798906618794378, + 0.4698644528820048, + 0.45488335843803246, + 0.4349966005843917, + 0.41039105103294815, + 0.3813832892513291, + 0.3484082462996975, + 0.3120047596737653, + 0.27279844279849813, + 0.23148234068880355, + 0.18879589894437632, + 0.14550281528663303, + 0.1023683702304564, + 0.06013684553648103, + 0.019509635521232162, + -0.018875362783494967, + -0.05446252873927519, + -0.08679496285357097, + -0.11552815473120563, + -0.14044050432520455, + -0.16144040865781625, + -0.17856971569668803, + -0.19200344175971804, + -0.20204574628440536, + -0.20912225556180947, + -0.21376892262067088, + -0.21661770142595022, + -0.2183793976141608, + -0.21982413298345208, + -0.22175992497325842, + -0.22500993376434716, + -0.23038896707831286, + -0.23867985527794167, + -0.2506103163618921, + -0.26683092169361, + -0.28789474898481565, + -0.31423926973891936, + -0.3461709649968996, + -0.3838530971191123, + -0.4272969881044785, + -0.47635706849867665, + -0.5307298674149973, + -0.5899570159064362, + -0.6534322353306717, + -0.7204121819488004, + -0.7900309213030514, + -0.8613177133753934, + -0.9332177044624062, + -1.0046150462557288, + -1.0743578987011893, + -1.1412847224505478, + -1.20425123042233, + -1.2621573471002043, + -1.3139735192880715, + -1.358765733283915, + -1.3957186206042094, + -1.4241560768671555, + -1.443558875226666, + -1.4535788254846875, + -1.4540491110193612, + -1.444990525992106, + -1.426613432745379, + -1.3993153615031892, + -1.3636742789455256, + -1.320437656393435, + -1.2705075696641883, + -1.2149221586529015, + -1.1548338630125572, + -1.091484928768216, + -1.0261807473831386, + -0.9602616420499305, + -0.8950737544933789, + -0.8319397083866669, + -0.772129732027798, + -0.7168339130244994, + -0.6671362316226411, + -0.623990977611599, + -0.5882020994581687, + -0.5604059648239695, + -0.5410579305984735, + -0.5304230300020876, + -0.5285709863856008, + -0.5353756604576861, + -0.5505189323157158, + -0.5734989144005536, + -0.6036422889028393, + -0.640120465709259, + -0.6819691670567853, + -0.7281109648388101, + -0.7773802279176387, + -0.8285498814938919, + -0.880359339887586, + -0.9315429489613922, + -0.9808582654428242, + -1.0271135077612426, + -1.0691935364880338, + -1.1060837614392207, + -1.1368914259743845, + -1.160863785653839, + -1.1774027765269446, + -1.186075855967373, + -1.1866227939645886, + -1.1789582927666915, + -1.163170415271339, + -1.139514905045804, + -1.1084055807969027, + -1.070401083048017, + -1.0261883383843426, + -0.9765631847565343, + -0.9224086680841957, + -0.8646715741581875, + -0.8043377993145036, + -0.7424071876102502, + -0.6798684707222674, + -0.6176749393529843, + -0.5567214518044672, + -0.49782334719945587, + -0.44169777859045045, + -0.38894791625614716, + -0.3400503955048924, + -0.29534629822591824, + -0.25503586541325096, + -0.21917704126621407, + -0.18768785068743563, + -0.16035251354722035, + -0.13683110344257338, + -0.11667246825640212, + -0.09933004688926136, + -0.08418014317305127, + -0.07054215602091299, + -0.05770021586897881, + -0.04492564264482742, + -0.03149962071803999, + -0.01673548203439063, + -1.6690610814058328e-16 + ], + [ + 0, + 0.01988490159520388, + 0.04288748700558034, + 0.06930515552255116, + 0.09931479881186693, + 0.13296608647221622, + 0.17017831637721803, + 0.21074092443314127, + 0.2543176528705318, + 0.3004542805688205, + 0.3485897256159248, + 0.3980702416999431, + 0.4481663482711272, + 0.4980920617804017, + 0.5470259335516988, + 0.594133350563425, + 0.6385895198719883, + 0.6796025365361857, + 0.7164359292567241, + 0.7484300877098075, + 0.7750220005204689, + 0.7957627724011584, + 0.8103324422173493, + 0.81855168933384, + 0.8203900919300223, + 0.8159706861646095, + 0.8055706670093912, + 0.7896181679737864, + 0.7686851554068606, + 0.7434765711340672, + 0.7148159524094707, + 0.6836278481533327, + 0.6509174329374396, + 0.6177477930954209, + 0.5852154208254926, + 0.5544245006505536, + 0.5264606068573311, + 0.5023644496541662, + 0.48310631124183845, + 0.46956180064609837, + 0.4624895282679321, + 0.46251125830693124, + 0.47009504051333073, + 0.48554175347983075, + 0.5089754115621177, + 0.5403374984557707, + 0.5793854946197309, + 0.6256956654564862, + 0.6786700748838606, + 0.7375476871632787, + 0.8014193210766708, + 0.8692461271910052, + 0.9398811733080977, + 1.0120936473740472, + 1.0845951229849218, + 1.1560672817562314, + 1.2251904504824003, + 1.2906722901030165, + 1.351275968541689, + 1.4058471606266905, + 1.4533392452821345, + 1.4928361123475296, + 1.5235720477242287, + 1.5449482346932721, + 1.5565454895214177, + 1.5581329389187217, + 1.5496724433557518, + 1.5313186713443494, + 1.5034148330725452, + 1.4664841847491623, + 1.4212175151532322, + 1.3684569207649409, + 1.3091762631764068, + 1.2444587801272837, + 1.1754723876062132, + 1.1034432634139937, + 1.0296283411311706, + 0.9552873666603722, + 0.8816551768869834, + 0.8099148513767692, + 0.7411723636535335, + 0.6764333191093752, + 0.6165823129996575, + 0.5623653756149782, + 0.5143758942655404, + 0.4730443150909686, + 0.43863183407512657, + 0.41122818832302466, + 0.3907535580787703, + 0.37696448961329226, + 0.36946365146088084, + 0.3677131439347955, + 0.3710509966730909, + 0.3787104132376195, + 0.3898412573542457, + 0.4035332237987454, + 0.41884009943644873, + 0.4348044973974146, + 0.45048244032196627, + 0.46496717716670044, + 0.47741164195302493, + 0.4870490014219565, + 0.49321079081846486, + 0.4953422016155089, + 0.49301416024630434, + 0.4859319209245085, + 0.4739399862619962, + 0.4570232643474261, + 0.43530446782641874, + 0.40903785688253824, + 0.37859952143121967, + 0.3444744859576742, + 0.3072410010425889, + 0.2675524567054374, + 0.22611741247582615, + 0.18367828608600073, + 0.14098927569354985, + 0.09879410877571089, + 0.0578042138417768, + 0.018677898827546138, + -0.017998907209778904, + -0.05172983398492793, + -0.08212271106326083, + -0.10890127623898464, + -0.1319136339627151, + -0.15113723137749277, + -0.16668021035401748, + -0.17877908846637303, + -0.18779281772076284, + -0.1941933646091598, + -0.19855304630121434, + -0.20152894319196724, + -0.20384478541566628, + -0.20627077834259772, + -0.20960188777081323, + -0.21463514807519474, + -0.2221465848782822, + -0.23286835711332932, + -0.24746672128841984, + -0.2665214033450129, + -0.29050693113413145, + -0.3197764339838388, + -0.35454835623483394, + -0.39489646043833576, + -0.4407434148963448, + -0.49185817138303944, + -0.5478572444215931, + -0.6082099057523525, + -0.6722472090526094, + -0.7391746630175184, + -0.8080882780137217, + -0.8779936250040381, + -0.9478274674915353, + -1.0164814598146936, + -1.0828273499550325, + -1.145743083506912, + -1.2041391786831397, + -1.2569847309022533, + -1.3033324099565873, + -1.3423418329357986, + -1.3733007315310528, + -1.3956433822440286, + -1.408965831187182, + -1.4130375200718583, + -1.4078090048304395, + -1.3934155510509088, + -1.3701764887615635, + -1.3385903106923993, + -1.2993256004762086, + -1.2532079778328655, + -1.2012033441396672, + -1.144397801564459, + -1.0839746999206825, + -1.0211893356009532, + -0.9573418846283112, + -0.893749195605596, + -0.8317160970592606, + -0.7725068866461017, + -0.7173176665879681, + -0.6672501705818037, + -0.6232876927539492, + -0.5862736798235096, + -0.5568934847055454, + -0.5356597048482331, + -0.5229014434799172, + -0.5187577387128339, + -0.5231753063786475, + -0.5359106399678962, + -0.5565364076051271, + -0.5844519841298137, + -0.6188978585456977, + -0.6589735657227533, + -0.7036587085017578, + -0.7518365642628823, + -0.8023197103153172, + -0.8538770565778796, + -0.9052616430428679, + -0.955238544172896, + -1.00261222301319, + -1.0462526943580739, + -1.0851198883467736, + -1.1182856525575293, + -1.144952890838812, + -1.1644714092507715, + -1.1763501217867556, + -1.180265358954095, + -1.1760651185703168, + -1.163769197890433, + -1.1435652469566628, + -1.1158008823682943, + -1.080972096062156, + -1.0397082828316337, + -0.9927542910124793, + -0.9409499710591392, + -0.8852077549202556, + -0.8264888437953637, + -0.7657786119538931, + -0.7040618491241386, + -0.6422984631970167, + -0.581400248708834, + -0.522209295226544, + -0.4654785641902401, + -0.411855104155936, + -0.3618663042348057, + -0.3159095056360126, + -0.2742452036217823, + -0.23699397909703343, + -0.20413720283638642, + -0.1755214584277637, + -0.15086653482651227, + -0.12977674836181805, + -0.11175526940569015, + -0.09622105282698575, + -0.08252790571436475, + -0.06998517230337929, + -0.057879475919043286, + -0.04549693204201283, + -0.032145235956190385, + -0.017175033090988966, + -1.7192358596351521e-16 + ], + [ + 0, + 0.0205196475375368, + 0.0442398674124924, + 0.07139194693761128, + 0.10208539765019486, + 0.13630330945136324, + 0.17390125499857767, + 0.214609783655277, + 0.2580404505103504, + 0.3036952334629602, + 0.3509791024744981, + 0.39921542207906485, + 0.4476637932302977, + 0.4955398754597021, + 0.5420366767964185, + 0.5863467583276714, + 0.627684773715901, + 0.6653097521349104, + 0.6985465362765654, + 0.7268058052676709, + 0.749602145102766, + 0.7665696757553359, + 0.7774748033425524, + 0.7822257361329418, + 0.7808784830646316, + 0.7736391408059696, + 0.7608623680706966, + 0.743046041589553, + 0.7208221844518286, + 0.6949443520559957, + 0.6662717512792943, + 0.6357504524214068, + 0.6043921288815315, + 0.573250824483241, + 0.5433983012154765, + 0.5158985595552062, + 0.4917821484539644, + 0.4720208918393371, + 0.4575036528107955, + 0.44901373568620034, + 0.44720849015034064, + 0.4526016318088827, + 0.4655487306478875, + 0.48623624474869054, + 0.5146743929015771, + 0.5506940685299768, + 0.5939479007998081, + 0.6439154693009916, + 0.6999125786816247, + 0.7611044015384311, + 0.8265222041247362, + 0.89508328233154, + 0.9656136570703147, + 1.036873010567562, + 1.1075812898397652, + 1.1764463621203483, + 1.242192080288964, + 1.3035861050779138, + 1.3594668352927908, + 1.4087688173909416, + 1.450546041035556, + 1.4839925768361943, + 1.5084600751994532, + 1.523471719524738, + 1.5287323110850195, + 1.524134254785847, + 1.5097593123634756, + 1.4858760900957741, + 1.4529333293124538, + 1.4115491674428264, + 1.3624966326130539, + 1.3066857235876106, + 1.2451425069894728, + 1.178985733291589, + 1.1094015303711549, + 1.0376167770829223, + 0.9648717882987663, + 0.8923929565002579, + 0.8213659929979398, + 0.7529103942701068, + 0.6880557262306748, + 0.6277202722871715, + 0.5726925310213142, + 0.5236159777212469, + 0.4809774226036914, + 0.44509920941037995, + 0.41613540335838795, + 0.3940720195123923, + 0.3787312439469694, + 0.36977950301141305, + 0.366739142984993, + 0.3690033956988958, + 0.37585422742283453, + 0.3864826003764362, + 0.4000106202744984, + 0.41551500069648195, + 0.4320512467958918, + 0.44867794758753315, + 0.4644805680490885, + 0.4785941494464478, + 0.4902243581607934, + 0.49866636901572425, + 0.503321127487228, + 0.5037086047275451, + 0.49947773826954367, + 0.4904128375940795, + 0.4764363252512368, + 0.45760777861406154, + 0.43411933222904325, + 0.4062875937218398, + 0.3745423149814001, + 0.3394121426524534, + 0.3015078457524209, + 0.26150348164804116, + 0.22011601309616624, + 0.17808392729111472, + 0.136145431920824, + 0.09501681252617586, + 0.05537152976509896, + 0.017820614665245687, + -0.017105114860639033, + -0.04897054117119783, + -0.07744902303710355, + -0.10233211708866129, + -0.12353598073245152, + -0.14110427934067285, + -0.1552075117625525, + -0.1661387617423124, + -0.1743059762794228, + -0.18022096296185658, + -0.18448538452983396, + -0.1877741081925193, + -0.19081633750320967, + -0.19437501410375793, + -0.1992250238496315, + -0.20613077550434056, + -0.21582373946560474, + -0.22898053833620252, + -0.2462021704347768, + -0.2679949217891185, + -0.2947534823724973, + -0.32674672929657694, + -0.36410657466080026, + -0.4068202003787659, + -0.4547259184207111, + -0.5075128046081033, + -0.564724159616823, + -0.6257647545438527, + -0.6899117226741377, + -0.7563288663450571, + -0.8240840603727927, + -0.8921693535778327, + -0.9595232995439691, + -1.0250549886521219, + -1.0876692071556526, + -1.1462921168009599, + -1.1998968310946347, + -1.2475282622572164, + -1.288326626286519, + -1.3215490220999937, + -1.3465885437797247, + -1.362990441488868, + -1.3704649153127197, + -1.3688962054463438, + -1.3583477298869844, + -1.3390631149616066, + -1.3114630623331853, + -1.276138096183331, + -1.2338373336156574, + -1.18545351753, + -1.1320046419210443, + -1.0746125825273405, + -1.014479218955949, + -0.952860596028873, + -0.891039720617921, + -0.8302986244508758, + -0.7718903424313108, + -0.7170114594338294, + -0.6667758662167727, + -0.6221903373214007, + -0.5841325012647857, + -0.5533317170103486, + -0.5303533019795267, + -0.5155864774187321, + -0.5092363086883229, + -0.5113198231412699, + -0.5216663890172077, + -0.5399223376070953, + -0.5655597103056036, + -0.5978889145091613, + -0.6360749800093918, + -0.6791570228140138, + -0.7260704482517959, + -0.7756713615984057, + -0.826762603826991, + -0.8781207936521728, + -0.9285237356597644, + -0.9767775484882443, + -1.021742876859898, + -1.062359576473916, + -1.0976693007169376, + -1.1268354718045026, + -1.1491601849900617, + -1.1640976712149482, + -1.1712640291116103, + -1.1704430294881458, + -1.1615878920297764, + -1.144819032563703, + -1.1204178774144717, + -1.0888169367106482, + -1.050586418648462, + -1.0064177494663191, + -0.9571044372155553, + -0.903520779545518, + -0.8465989651541864, + -0.7873051541071195, + -0.726615143062567, + -0.6654902270915652, + -0.6048538601599277, + -0.5455696917355232, + -0.4884215180624534, + -0.43409563442279603, + -0.3831660105346984, + -0.33608263675633765, + -0.29316330587635364, + -0.2545890060767916, + -0.22040300741195798, + -0.19051362921050333, + -0.16470058157141362, + -0.1426246829586062, + -0.12384067009375962, + -0.10781273805523862, + -0.09393237967312022, + -0.08153803568638852, + -0.06993602213500412, + -0.05842217021430579, + -0.04630359709262275, + -0.03292002438976147, + -0.017664074162932256, + -1.772526015267408e-16 + ], + [ + 0, + 0.021157677189232595, + 0.04556504661763603, + 0.07338780218404542, + 0.10466979191834905, + 0.13933039543394635, + 0.17716540439681472, + 0.21785139199772816, + 0.2609534661525056, + 0.3059362124749986, + 0.35217754922227795, + 0.3989851395342598, + 0.4456149383401748, + 0.4912913940181636, + 0.5352287797415652, + 0.5766530975921734, + 0.6148239807997483, + 0.6490560163570656, + 0.6787389218727728, + 0.7033560366026832, + 0.7225006265224709, + 0.7358895561011852, + 0.7433739438109261, + 0.7449464927761733, + 0.7407452704857664, + 0.7310538001129585, + 0.7162974185086409, + 0.6970359500423159, + 0.6739528388121696, + 0.6478409719913171, + 0.6195855119555922, + 0.590144132211551, + 0.5605251200562248, + 0.5317638656280509, + 0.5048983011014646, + 0.4809438840961314, + 0.4608687351162809, + 0.4455695395659046, + 0.4358488105333147, + 0.4323940794088082, + 0.43575953816370905, + 0.44635060080013117, + 0.4644117834264051, + 0.4900182242640216, + 0.5230710785415047, + 0.5632969307783338, + 0.6102512706617947, + 0.6633259809243762, + 0.7217606887328634, + 0.7846577384784337, + 0.851000455808745, + 0.9196742924338375, + 0.9894903706458279, + 1.059210887360342, + 1.1275757912784887, + 1.1933301146296056, + 1.2552513236907685, + 1.3121760503288735, + 1.3630255802397464, + 1.4068295020540562, + 1.442746964360631, + 1.4700850439297235, + 1.4883137966409585, + 1.497077641177371, + 1.4962028125299704, + 1.4857007156515951, + 1.4657671069354214, + 1.4367771302047252, + 1.399276332178506, + 1.3539678775334774, + 1.301696273405654, + 1.2434279952875904, + 1.180229478791846, + 1.113243002915636, + 1.0436610387839849, + 0.9726996722130424, + 0.9015717280092506, + 0.8314602282559419, + 0.7634928058622608, + 0.6987176686628538, + 0.6380816690301078, + 0.5824109803157482, + 0.5323948158220653, + 0.4885725500538766, + 0.45132451761098674, + 0.4208666743413928, + 0.39724921053470974, + 0.38035910933612804, + 0.3699265475853676, + 0.36553494329351743, + 0.366634366245607, + 0.37255794790515473, + 0.3825408558575745, + 0.3957413381844398, + 0.41126329585381627, + 0.42817980757242985, + 0.44555701236116557, + 0.4624777508131104, + 0.4780643766293242, + 0.4915001752862565, + 0.5020488658915634, + 0.5090717144076222, + 0.5120418501198966, + 0.5105554508705249, + 0.5043395442909867, + 0.4932562599787349, + 0.4773034590526494, + 0.45661176048221586, + 0.43143807567392706, + 0.40215585170010354, + 0.3692423070383581, + 0.3332630196619462, + 0.29485429388158735, + 0.2547037878262444, + 0.21352992648240351, + 0.17206065472177684, + 0.1310121000105495, + 0.09106771514257188, + 0.05285845737588851, + 0.01694453214585934, + -0.016200812193472986, + -0.04620500631743662, + -0.07280703152221706, + -0.09586514855774145, + -0.11536127345543319, + -0.13140187768592576, + -0.144215380767117, + -0.15414609512821265, + -0.16164487329339017, + -0.16725669398694187, + -0.17160550438006217, + -0.1753767083451251, + -0.17929775340271317, + -0.18411732043171236, + -0.19058365884142603, + -0.19942263477431454, + -0.2113160703607127, + -0.2268809477864075, + -0.24665003303326383, + -0.27105444105301546, + -0.300408617632939, + -0.33489815444519194, + -0.37457078418451223, + -0.4193308240111619, + -0.4689372496781256, + -0.5230054918673852, + -0.5810129526531833, + -0.6423081459877126, + -0.7061232740195982, + -0.7715899632172663, + -0.8377578028867428, + -0.9036152557995838, + -0.9681124481272214, + -1.0301852953052566, + -1.0887803831240113, + -1.1428800002325537, + -1.1915267099746065, + -1.2338468563007443, + -1.269072420304079, + -1.2965606802159582, + -1.315811177624599, + -1.3264795550542523, + -1.3283879033665744, + -1.321531339946734, + -1.306080628311875, + -1.2823807444455462, + -1.2509453925078504, + -1.2124475702169288, + -1.167706379750386, + -1.1176703711312266, + -1.0633977895021545, + -1.0060341733766502, + -0.94678781601901, + -0.8869036549403033, + -0.8276361937942728, + -0.7702220857369101, + -0.7158530169529796, + -0.6656495232983332, + -0.6206363519829707, + -0.5817199444245328, + -0.5496685666955418, + -0.5250955515716721, + -0.5084460425756073, + -0.4999875473890412, + -0.49980451759186, + -0.5077970760814088, + -0.5236839150514458, + -0.5470092884650235, + -0.5771539259439148, + -0.6133496022766048, + -0.6546970105679617, + -0.7001865095056591, + -0.7487212481770219, + -0.7991421169520064, + -0.8502539314715245, + -0.9008522297325308, + -0.9497500502738636, + -0.9958040628021169, + -1.0379394411397866, + -1.0751729016412115, + -1.106633377356721, + -1.1315798580440712, + -1.1494159971311864, + -1.1597011671549542, + -1.162157733039331, + -1.1566744056546885, + -1.14330563411733, + -1.1222670918738338, + -1.0939274063904474, + -1.0587963729045873, + -1.0175099769719291, + -0.9708126263995667, + -0.9195370587468923, + -0.8645824443136537, + -0.8068912451283479, + -0.7474254169385668, + -0.6871425529788483, + -0.6269725651086833, + -0.5677954799038193, + -0.5104208949465903, + -0.4555695947497665, + -0.4038577676516896, + -0.3557841961300857, + -0.3117207150559162, + -0.27190614742709657, + -0.23644383723732498, + -0.20530280661845762, + -0.1783224715782794, + -0.1552207598749981, + -0.13560538810610365, + -0.11898797511110283, + -0.10480059729789888, + -0.09241433028802025, + -0.08115927186281172, + -0.07034550480902897, + -0.059284435807022286, + -0.04730993852561039, + -0.03379873576795571, + -0.018189476666292684, + -1.8276830316432197e-16 + ], + [ + 0, + 0.021785860740656946, + 0.046837527572948186, + 0.07525629212434362, + 0.10702268367239437, + 0.14199580513163185, + 0.17991609384238963, + 0.22041144232518387, + 0.26300652618158554, + 0.3071351021465925, + 0.352154961068615, + 0.39736515030319247, + 0.44202501944898337, + 0.4853745940795057, + 0.5266557453992377, + 0.5651336005312774, + 0.6001176290405892, + 0.6309818465724973, + 0.6571835960400162, + 0.6782804001664747, + 0.693944425574509, + 0.7039741568737549, + 0.7083029479023341, + 0.707004194721955, + 0.7002929592311862, + 0.6885239612497498, + 0.6721859484193407, + 0.6518925449772854, + 0.6283697700913893, + 0.6024405017477749, + 0.5750062410114178, + 0.5470266018411304, + 0.5194970117530646, + 0.49342515695646355, + 0.46980674088942237, + 0.44960114643822685, + 0.4337075989538572, + 0.4229424192645289, + 0.4180179333703805, + 0.4195235689041428, + 0.42790961860857707, + 0.4434740892055643, + 0.46635298160124483, + 0.4965142671387501, + 0.5337557365478798, + 0.5777068054950947, + 0.6278342654724435, + 0.6834518735093996, + 0.7437335811821562, + 0.8077301149145824, + 0.8743885377897423, + 0.9425743500352723, + 1.0110956228128976, + 1.0787286094791773, + 1.1442442413437184, + 1.206434892059808, + 1.2641407867191936, + 1.3162754387031805, + 1.361849519213186, + 1.3999926006473598, + 1.4299722647354909, + 1.4512101283903251, + 1.463294413076741, + 1.4659887653726293, + 1.4592371253077674, + 1.4431645328576452, + 1.418073859357297, + 1.38443854724162, + 1.34289153606407, + 1.2942106428977016, + 1.239300748793159, + 1.1791732179313807, + 1.1149230406513257, + 1.0477042440981639, + 0.9787041535635917, + 0.9091171127415063, + 0.840118281511785, + 0.7728381252684136, + 0.708338190368648, + 0.6475887265056242, + 0.591448669556051, + 0.5406484389163869, + 0.4957759330033762, + 0.45726602720947135, + 0.42539379214140705, + 0.4002715585719671, + 0.38184986145953775, + 0.3699222009571501, + 0.36413346586629336, + 0.3639917767611183, + 0.36888342417650394, + 0.37809050381659287, + 0.3908107874844771, + 0.4061793168882705, + 0.42329116887985896, + 0.4412248159422216, + 0.45906549542576147, + 0.4759280053501427, + 0.49097836337853806, + 0.5034537983189791, + 0.5126805893495698, + 0.5180893259134132, + 0.5192272294035375, + 0.5157672546196597, + 0.5075137725755042, + 0.4944047244517648, + 0.47651022709839, + 0.4540277012079283, + 0.427273681827739, + 0.3966725550300894, + 0.3627425422064008, + 0.32607932265257733, + 0.2873377441387114, + 0.2472121185386253, + 0.20641563415721156, + 0.1656594372844356, + 0.12563194221703874, + 0.08697892137219354, + 0.05028490538234074, + 0.01605638777287834, + -0.015292719109045432, + -0.0434529896008928, + -0.06822843361630136, + -0.08954224828366282, + -0.10743921528704113, + -0.12208467451793845, + -0.1337600941346259, + -0.14285534617755888, + -0.14985788324350827, + -0.1553390931829858, + -0.15993818328277676, + -0.16434401102922386, + -0.16927533364127528, + -0.17545999170186935, + -0.18361357228793934, + -0.1944181132167349, + -0.20850141195012908, + -0.22641749024880048, + -0.24862873912542763, + -0.27549022864551603, + -0.30723661464032737, + -0.34397201071775185, + -0.3856631206560213, + -0.43213584515832465, + -0.48307549004910283, + -0.5380306124696617, + -0.596420449741492, + -0.6575457846089615, + -0.7206030128295247, + -0.7847010967543938, + -0.8488810137108985, + -0.9121372425526216, + -0.9734407773483797, + -1.0317631152286166, + -1.0861006369839685, + -1.1354987848680647, + -1.1790754425949324, + -1.2160429377764181, + -1.2457281166888428, + -1.2675899846046066, + -1.2812344609473538, + -1.2864258658862915, + -1.283094832051271, + -1.2713424199567203, + -1.251440306403922, + -1.2238270093754013, + -1.189100208438066, + -1.1480053140943005, + -1.1014205305454556, + -1.0503387417236438, + -0.9958466281032768, + -0.9391014898088597, + -0.8813063082099921, + -0.8236836221336873, + -0.7674488249353667, + -0.713783504197248, + -0.6638094463687797, + -0.6185639141962632, + -0.57897677564486, + -0.5458500198920361, + -0.5198401399063151, + -0.5014437934756365, + -0.49098707695629534, + -0.48861866036085355, + -0.49430694077331455, + -0.5078412757005479, + -0.528837261159935, + -0.5567459234184609, + -0.5908666006685359, + -0.6303632038003488, + -0.6742834659229823, + -0.721580720322544, + -0.7711376878152262, + -0.8217917083699684, + -0.8723608195412943, + -0.9216700664319093, + -0.9685774250033753, + -1.0119987326126385, + -1.050931046345248, + -1.0844738903576667, + -1.111847907004037, + -1.1324104916644855, + -1.1456680662876777, + -1.151284729842615, + -1.1490871130816547, + -1.1390653580413965, + -1.1213702372541812, + -1.0963065213814993, + -1.0643227946071687, + -1.0259980024205675, + -0.9820250942925722, + -0.9331921923017856, + -0.8803617743432198, + -0.8244484057590968, + -0.7663955849941174, + -0.7071522864543565, + -0.6476497867520404, + -0.5887793489231314, + -0.5313713133491328, + -0.4761761046911751, + -0.4238476121814573, + -0.3749293374534036, + -0.3298436313424493, + -0.28888426060494193, + -0.25221245932348996, + -0.2198565300716204, + -0.19171496896088652, + -0.16756299877881903, + -0.14706230780562093, + -0.12977371074404215, + -0.11517237454257223, + -0.10266518757791827, + -0.09160979729250582, + -0.08133480028321598, + -0.07116054102562429, + -0.060419961575306415, + -0.048478945043960185, + -0.03475561037281513, + -0.01873804452963733, + -1.88346966884696e-16 + ], + [ + 0, + 0.022391519570018757, + 0.048033061050360974, + 0.07696334437377751, + 0.10910250826449547, + 0.14425332176886707, + 0.18210571341794582, + 0.2222445052982358, + 0.26416015528902065, + 0.3072622316468131, + 0.35089527199150644, + 0.39435661541289835, + 0.4369157434886343, + 0.4778346248429089, + 0.5163885295423162, + 0.55188676486225, + 0.5836927831649757, + 0.6112431258589093, + 0.6340646943553283, + 0.6517898789562203, + 0.6641691287183811, + 0.6710806082621952, + 0.6725366596731515, + 0.6686868672895421, + 0.6598176082998305, + 0.6463480605655162, + 0.628822728728938, + 0.6079006382161115, + 0.5843414319803196, + 0.558988684608832, + 0.5327508207201831, + 0.5065800875820412, + 0.48145008397664585, + 0.45833238719657876, + 0.4381728466345375, + 0.4218681250301935, + 0.41024306669480914, + 0.4040294559443475, + 0.4038466988848169, + 0.4101849183075197, + 0.42339089579565575, + 0.44365722855212875, + 0.47101499253947693, + 0.5053301201184348, + 0.5463036115121677, + 0.5934756072777528, + 0.6462332557891702, + 0.7038222178107095, + 0.7653615618231887, + 0.829861721032152, + 0.8962451079752047, + 0.9633689172063217, + 1.0300495922868065, + 1.095088391601771, + 1.1572974593872736, + 1.2155257945045146, + 1.268684510291925, + 1.315770794263058, + 1.3558900061384733, + 1.3882753959935255, + 1.412304980128605, + 1.4275151792735936, + 1.4336109003000592, + 1.4304718268739267, + 1.4181547743907668, + 1.396892057909473, + 1.3670859163675821, + 1.3292991298234946, + 1.2842420565561332, + 1.2327564013730805, + 1.1757961033839206, + 1.1144057989234522, + 1.0496973716309093, + 0.9828251455505445, + 0.9149603074670665, + 0.8472651608098806, + 0.7808678149856566, + 0.7168379009212219, + 0.6561638762672514, + 0.5997324428273806, + 0.5483105453672694, + 0.5025303563610596, + 0.46287757705768184, + 0.4296833033386671, + 0.4031196172216274, + 0.38319897370468536, + 0.369777360195538, + 0.36256111430014265, + 0.3611171975069966, + 0.3648866394557859, + 0.3732007920481026, + 0.3852999664794189, + 0.4003539709490636, + 0.417484023669614, + 0.4357854858751297, + 0.4543508435150537, + 0.4722923645671153, + 0.4887638714025885, + 0.5029810940314473, + 0.514240109638943, + 0.5219334255680295, + 0.5255633254724236, + 0.5247521701643266, + 0.5192494238838485, + 0.5089352613175888, + 0.4938206985546672, + 0.4740442800754389, + 0.4498654415849938, + 0.4216547528278568, + 0.3898813233386938, + 0.3550977254242566, + 0.317922850753003, + 0.27902316820452727, + 0.23909288982832966, + 0.1988335779127556, + 0.15893373863140314, + 0.1200489462220164, + 0.0827830262196765, + 0.047670797320241334, + 0.015162829739363325, + -0.014387375474055568, + -0.04073344545044308, + -0.06374316456824977, + -0.08340228462688612, + -0.09981501134403392, + -0.11320114928650535, + -0.12388997474428612, + -0.13231099175022265, + -0.13898180825614243, + -0.1444934453199349, + -0.1494934601061833, + -0.15466732182165366, + -0.16071852690371569, + -0.168347974640504, + -0.17823314602141274, + -0.19100763642260807, + -0.20724158649847008, + -0.22742353550282854, + -0.2519441876799513, + -0.28108253615913553, + -0.3149947310913828, + -0.3537060110052647, + -0.3971059402099454, + -0.4449471124281578, + -0.4968473937588506, + -0.5522956887217214, + -0.6106611237585337, + -0.671205455399008, + -0.7330984275322522, + -0.7954357259427381, + -0.8572591104006324, + -0.9175782468622756, + -0.9753937162117458, + -1.0297206426471317, + -1.0796123651582838, + -1.1241835700915654, + -1.1626323117354096, + -1.1942603710149668, + -1.2184914392295079, + -1.2348866634361368, + -1.24315715139242, + -1.2431731054427468, + -1.234969334638477, + -1.2187469807778752, + -1.1948713848324428, + -1.163866113172995, + -1.1264032558456127, + -1.083290199597263, + -1.035453164190553, + -0.983917869664431, + -0.9297877726415447, + -0.874220369813264, + -0.8184021148632042, + -0.7635225301223375, + -0.7107481153075951, + -0.6611966622456953, + -0.6159125763461893, + -0.5758437829422235, + -0.5418207600009466, + -0.5145381889965469, + -0.49453965413762135, + -0.4822057481388111, + -0.47774586207133, + -0.4811938494773502, + -0.49240766301227673, + -0.5110729676219316, + -0.5367106399603583, + -0.5686879717007498, + -0.6062333068234373, + -0.6484537620065517, + -0.6943556068593005, + -0.7428668186761589, + -0.7928612761493922, + -0.8431840192631987, + -0.8926769792908229, + -0.9402045739699003, + -0.9846785687289893, + -1.0250816251091364, + -1.0604889917419578, + -1.0900878405428214, + -1.1131938099666372, + -1.1292643867769259, + -1.1379088360652474, + -1.1388944742858667, + -1.1321491697363666, + -1.1177600470045412, + -1.0959684641463938, + -1.0671614214911385, + -1.031859646775382, + -0.9907026806906074, + -0.9444313579491591, + -0.8938681399090221, + -0.8398958041748492, + -0.7834350332298823, + -0.7254214671865683, + -0.6667827946486488, + -0.6084164502816223, + -0.5511684681747991, + -0.49581400698037154, + -0.4430400170034464, + -0.39343046207655874, + -0.3474544416526279, + -0.3054574828088529, + -0.26765618969235405, + -0.23413635143470476, + -0.20485452089933998, + -0.17964298803541476, + -0.1582179853202457, + -0.14019088094473525, + -0.1250820400812781, + -0.11233696765401173, + -0.10134428917593441, + -0.09145508084031796, + -0.08200302727872606, + -0.07232486603059717, + -0.06178057227754411, + -0.04977274589761116, + -0.03576468515692643, + -0.01929666679859932, + -1.9386738893974233e-16 + ], + [ + 0, + 0.02296256255492725, + 0.04912889805548811, + 0.07847758501769264, + 0.11087183286840605, + 0.14606246929637134, + 0.1836941113972555, + 0.22331436333198013, + 0.2643858037811215, + 0.30630045301432673, + 0.3483963437729117, + 0.3899757640601617, + 0.4303246947830871, + 0.4687329321527289, + 0.5045143646850621, + 0.5370268680831113, + 0.5656912884160695, + 0.590009004691786, + 0.609577595653071, + 0.6241041815952423, + 0.6334160690730155, + 0.6374683931294589, + 0.6363485264827302, + 0.630277106087597, + 0.6196056126296852, + 0.6048105256843237, + 0.5864841642966065, + 0.5653224074321094, + 0.5421095689790665, + 0.5177007757302131, + 0.4930022621704965, + 0.4689500512840944, + 0.4464875345549373, + 0.4265424957345746, + 0.4100041409653794, + 0.39770070198164315, + 0.39037816921627067, + 0.38868068791403426, + 0.3931331133350732, + 0.4041261716962966, + 0.4219046128249044, + 0.44655867004930055, + 0.47801906433505126, + 0.5160557049969328, + 0.5602801505482012, + 0.6101518025557341, + 0.664987714976915, + 0.72397581358004, + 0.7861912368554329, + 0.8506154333587045, + 0.916157582577647, + 0.981677848858338, + 1.0460119320914425, + 1.1079963458881592, + 1.1664938346937646, + 1.2204183361874623, + 1.2687589045449705, + 1.3106020334886046, + 1.3451518549658041, + 1.3717477388955346, + 1.3898788805060622, + 1.399195532878372, + 1.399516621682968, + 1.3908335648261654, + 1.3733102097221137, + 1.3472788929905182, + 1.3132327193086821, + 1.2718142456853665, + 1.2238008423979096, + 1.1700870801801015, + 1.111664563067554, + 1.0495996859100785, + 0.9850098435094622, + 0.919038653484728, + 0.8528307764693625, + 0.7875069246051762, + 0.7241396423615485, + 0.6637304226742791, + 0.6071886868073396, + 0.5553131090687561, + 0.5087757087427346, + 0.46810906279964637, + 0.43369691582254355, + 0.4057683800543606, + 0.3843958305890325, + 0.3694965106702602, + 0.36083777204115874, + 0.3580457875183238, + 0.3606174895967307, + 0.36793541196577156, + 0.3792850422065276, + 0.3938742353112717, + 0.4108541904327266, + 0.4293414585620036, + 0.4484404274668557, + 0.4672657226795039, + 0.484963969745681, + 0.5007343831260141, + 0.5138476805287887, + 0.5236628671733548, + 0.5296414913549715, + 0.5313590392486374, + 0.5285132114566963, + 0.5209289044823073, + 0.5085598050589739, + 0.4914865919485952, + 0.4699118262560953, + 0.44415169532713566, + 0.4146248547906698, + 0.38183868629119905, + 0.3463733531040681, + 0.308864090530468, + 0.26998221136841577, + 0.23041533777904197, + 0.19084738875340654, + 0.1519388567042973, + 0.11430789737214801, + 0.07851273449984511, + 0.045035845190425375, + 0.014270344428854411, + -0.013491070862489518, + -0.03806432517362509, + -0.059379096894132906, + -0.07748074204626614, + -0.0925289552913481, + -0.10479319956716764, + -0.11464502028965225, + -0.12254744172492821, + -0.12904171983237384, + -0.13473179564421922, + -0.14026685430481917, + -0.1463224456830912, + -0.15358066169219287, + -0.16270989208873896, + -0.17434469388272944, + -0.18906630920526055, + -0.20738435253297735, + -0.22972016087862027, + -0.25639226058423953, + -0.2876043526755563, + -0.32343615662599656, + -0.36383738137456345, + -0.4086250143062084, + -0.45748403558216605, + -0.5099715787799247, + -0.5655244714293108, + -0.6234700029018635, + -0.6830396843880415, + -0.7433856884635941, + -0.8035995859525131, + -0.8627329372083897, + -0.9198192451021565, + -0.9738967392012462, + -1.0240314358358111, + -1.0693399076331624, + -1.1090111989849438, + -1.142327340769211, + -1.1686819481104946, + -1.1875964283169103, + -1.1987333813543959, + -1.2019068409786706, + -1.1970890793561892, + -1.1844137798525178, + -1.1641754696561282, + -1.1368251939130498, + -1.1029625038697133, + -1.063323920930091, + -1.0187681243324263, + -0.9702581902284507, + -0.9188412823302299, + -0.8656262571880182, + -0.811759699019483, + -0.758400938537841, + -0.7066966364360592, + -0.6577555244152433, + -0.6126238945774553, + -0.5722624116681055, + -0.5375247924308137, + -0.5091388529499908, + -0.48769036934759064, + -0.4736101309123456, + -0.4671644892788018, + -0.4684496244711482, + -0.4773896604948249, + -0.4937386718394038, + -0.5170865299696203, + -0.5468684478711789, + -0.5823779931958708, + -0.6227832586421898, + -0.6671458039001162, + -0.7144419185817561, + -0.7635857016215886, + -0.8134534109594602, + -0.8629085089128324, + -0.9108268141727957, + -0.9561211711494597, + -0.9977650614242922, + -1.0348146099692177, + -1.0664284798534238, + -1.0918852023462544, + -1.110597553309042, + -1.1221236599581477, + -1.1261746026603021, + -1.1226183623951274, + -1.111480053765759, + -1.092938473756912, + -1.0673190856091963, + -1.0350836430103547, + -0.9968167401967489, + -0.9532096465492264, + -0.9050418480808154, + -0.8531607713050637, + -0.7984602060672655, + -0.7418579720408147, + -0.6842733880850578, + -0.6266051042170917, + -0.5697098426018207, + -0.5143825670916258, + -0.46133856116400523, + -0.4111978426443813, + -0.3644722816844488, + -0.32155571767455365, + -0.28271729289980246, + -0.24809813777488163, + -0.21771145650645649, + -0.19144597520005385, + -0.16907262893297192, + -0.15025428230092544, + -0.13455820146778302, + -0.1214709267165748, + -0.11041513463773149, + -0.10076802988650294, + -0.09188076911518833, + -0.0830983951567091, + -0.0737797484011047, + -0.06331682482520466, + -0.051153066223911706, + -0.0368000974237859, + -0.019852466880102, + -1.9921222776495417e-16 + ], + [ + 0, + 0.023487613495027718, + 0.05010402103942105, + 0.07977064395034804, + 0.11229770125535897, + 0.14738885804702068, + 0.18464889964571082, + 0.2235942334083831, + 0.2636659457082284, + 0.3042450741949876, + 0.3446696966459889, + 0.3842533890356501, + 0.4223045681344824, + 0.4581462089607534, + 0.4911354154027723, + 0.5206823236350991, + 0.5462678325612988, + 0.5674596830879881, + 0.5839264479024142, + 0.595449044611204, + 0.6019294463379992, + 0.6033963336546637, + 0.6000075082999272, + 0.5920489706122892, + 0.5799306469359286, + 0.5641788383388457, + 0.5454255456778875, + 0.524394906252349, + 0.5018870519856248, + 0.4787597663752769, + 0.4559083756485698, + 0.43424435716883, + 0.4146731839342219, + 0.398071947062148, + 0.3852673078421508, + 0.3770143269808335, + 0.3739767011058177, + 0.3767089058310886, + 0.38564070143104107, + 0.4010644024538876, + 0.4231252477417892, + 0.4518151338839651, + 0.48696989489448694, + 0.5282702258343344, + 0.5752462602669234, + 0.6272857229991744, + 0.6836454926867966, + 0.7434663257087901, + 0.8057904152908124, + 0.8695813900906142, + 0.933746296076369, + 0.9971590560276384, + 1.0586848636006074, + 1.1172049445602454, + 1.1716411071088535, + 1.2209795065152573, + 1.2642930664119494, + 1.3007620297784668, + 1.3296921560369892, + 1.35053013580612, + 1.3628758603592421, + 1.3664912571277552, + 1.3613054838743228, + 1.3474163604624811, + 1.3250880063691786, + 1.2947447420570393, + 1.2569614008562444, + 1.2124502829502912, + 1.162045062352676, + 1.1066820294787378, + 1.0473791143215732, + 0.985213186824571, + 0.9212961705641985, + 0.8567505323694523, + 0.7926847233833301, + 0.7301691460257806, + 0.6702132063974874, + 0.6137439832608443, + 0.5615870035692616, + 0.5144495616224947, + 0.47290695562317525, + 0.43739194327191017, + 0.4081876388527026, + 0.3854239899849547, + 0.36907788493252097, + 0.35897685321358286, + 0.354806235414133, + 0.35611961470240544, + 0.3623522246123238, + 0.37283697711207175, + 0.3868226935139438, + 0.40349406989988335, + 0.42199286965475236, + 0.4414398093426716, + 0.4609565911397574, + 0.47968753562604893, + 0.4968202828791752, + 0.5116050571044325, + 0.5233720297569352, + 0.5315463672301993, + 0.5356606103895073, + 0.5353641029569923, + 0.5304292622386623, + 0.5207545669871869, + 0.5063642212672682, + 0.48740453791704996, + 0.46413716845129144, + 0.4369293859429126, + 0.4062417015549233, + 0.37261316212328777, + 0.33664473385030763, + 0.2989812243250538, + 0.26029223057535117, + 0.22125262380258207, + 0.18252309129996114, + 0.1447312525806607, + 0.10845385005323145, + 0.07420048511928544, + 0.04239932909477279, + 0.01338518593532012, + -0.01260977828298727, + -0.03546239423294322, + -0.05516176796422856, + -0.07180939130872735, + -0.08561607895192644, + -0.0968958100852568, + -0.10605663362800032, + -0.11358887306923153, + -0.12005093807092697, + -0.12605311328303775, + -0.1322397487351009, + -0.13927031930743242, + -0.1477998520388815, + -0.15845923858642244, + -0.17183595552206835, + -0.18845570717357346, + -0.20876548456146965, + -0.23311850016201938, + -0.2617614125587097, + -0.29482419865769066, + -0.332312965429982, + -0.37410591973663615, + -0.41995263551954976, + -0.4694766744780965, + -0.5221815313792527, + -0.5774597904951138, + -0.6346052974517449, + -0.6928280730756446, + -0.7512716245993317, + -0.8090322466385991, + -0.8651798512816958, + -0.9187798247933092, + -0.968915378915237, + -1.014709848318498, + -1.0553483828819983, + -1.0900984942587117, + -1.1183289404208414, + -1.1395264689951285, + -1.1533099893328838, + -1.1594418032306768, + -1.1578355935807054, + -1.148560947302872, + -1.1318442718177089, + -1.108066051036495, + -1.0777544752504298, + -1.0415755672268117, + -1.0003200121067457, + -0.9548869792475155, + -0.9062652979771982, + -0.8555124145063708, + -0.8037316123551477, + -0.7520480222349026, + -0.7015839782855718, + -0.6534342951322097, + -0.6086420439382264, + -0.5681753953851593, + -0.5329060735313421, + -0.503589927361303, + -0.48085007742512914, + -0.46516303447399904, + -0.45684811688848137, + -0.4560604156700656, + -0.46278747171813805, + -0.4768497420864221, + -0.4979048420445537, + -0.5254554602468212, + -0.5588607573071361, + -0.5973509757108055, + -0.6400449132592293, + -0.6859698449793862, + -0.7340834212634899, + -0.7832970243149454, + -0.8325000318615746, + -0.880584417344034, + -0.9264691098561353, + -0.969123545125006, + -1.007589860550685, + -1.0410032222195393, + -1.0686098189832782, + -1.089782116975437, + -1.104031035868741, + -1.1110147840740388, + -1.110544172065986, + -1.1025843090671257, + -1.0872526763096948, + -1.0648136578584069, + -1.0356696953629074, + -1.0003493140237978, + -0.959492341524096, + -0.9138327078852923, + -0.8641792705482818, + -0.8113951540966983, + -0.7563761268563302, + -0.700028556349682, + -0.6432474918147081, + -0.5868954146036325, + -0.5317821764916957, + -0.47864661230913247, + -0.42814026774292724, + -0.38081362681343023, + -0.3371051578556644, + -0.29733342349683906, + -0.26169242097812984, + -0.23025023621904314, + -0.2029510103565632, + -0.17962013323735523, + -0.1599724966136398, + -0.1436235626388982, + -0.13010293260709377, + -0.11887003849112165, + -0.10933152726510925, + -0.10085986654481208, + -0.09281267077342578, + -0.08455223073303329, + -0.07546472596708312, + -0.06497860981554453, + -0.05258167991574523, + -0.037836382604689224, + -0.020392946756880335, + -2.0426928051054264e-16 + ], + [ + 0, + 0.02395612828311273, + 0.05093935149301169, + 0.08081742073913344, + 0.11335192146630177, + 0.14820445468071974, + 0.1849456645684801, + 0.2230668774309625, + 0.26199404813624066, + 0.3011036492699791, + 0.33974008641936054, + 0.3772341818630692, + 0.41292223942734363, + 0.4461651861683591, + 0.47636728230875586, + 0.502993899621756, + 0.5255878900239291, + 0.5437840999890052, + 0.5573216317023956, + 0.5660535075223659, + 0.569953458920746, + 0.5691196330380037, + 0.5637750875114282, + 0.5542650253852079, + 0.5410508046568877, + 0.5247008392815882, + 0.5058785881765955, + 0.4853279039370961, + 0.4638560816907351, + 0.4423150090432613, + 0.42158086885911267, + 0.40253288637799184, + 0.3860316398618562, + 0.37289746886474373, + 0.36388951590584223, + 0.3596859257165282, + 0.36086570156774683, + 0.36789268103216094, + 0.38110204477438536, + 0.40068971276026233, + 0.42670491406165423, + 0.45904614086186873, + 0.49746061617927184, + 0.5415473202036746, + 0.5907635340538473, + 0.6444347743273103, + 0.7017679091256892, + 0.7618671683368273, + 0.8237526897606332, + 0.8863811799395961, + 0.9486682158517055, + 1.0095116722540076, + 1.0678157304630504, + 1.1225149084558843, + 1.1725975497829244, + 1.217128219981846, + 1.2552684837163444, + 1.2862955731544705, + 1.3096185072545716, + 1.324791281457451, + 1.3315228163439887, + 1.3296834304337437, + 1.3193076846124547, + 1.3005935316848924, + 1.2738977921638364, + 1.2397280644960664, + 1.1987312623753805, + 1.1516790515488788, + 1.0994505316499816, + 1.043012573316427, + 0.983398275607724, + 0.9216840522023453, + 0.8589658859869209, + 0.796335309706627, + 0.7348556749082494, + 0.6755392623864245, + 0.6193257649836499, + 0.567062638467476, + 0.519487769197062, + 0.477214849570745, + 0.4407217852511004, + 0.410342383555398, + 0.3862614920221354, + 0.36851367200210744, + 0.3569854062483652, + 0.35142075400444284, + 0.35143028411162436, + 0.35650303820504065, + 0.3660212040603616, + 0.37927711534000796, + 0.3954921399160787, + 0.41383697591830354, + 0.4334528436949477, + 0.4534730437072292, + 0.473044345409556, + 0.4913476804763617, + 0.5076176350700131, + 0.5211602696282978, + 0.5313688400018783, + 0.5377370495233532, + 0.5398695263156625, + 0.5374892922036142, + 0.5304420671541076, + 0.5186973342808578, + 0.5023461730658948, + 0.48159595049753356, + 0.4567620392455585, + 0.42825680680165645, + 0.39657618783817467, + 0.36228421217837875, + 0.32599591123180166, + 0.2883590652793995, + 0.2500352816215508, + 0.21168090865423575, + 0.17392829305843555, + 0.1373678764438798, + 0.10253160427566951, + 0.06987808434423004, + 0.03977988533169304, + 0.012513309376895853, + -0.011749092607851756, + -0.03294306610347455, + -0.05111413886702306, + -0.06641600781380369, + -0.07910586825229472, + -0.08953680685751644, + -0.09814745672968726, + -0.10544918481949389, + -0.11201114707936935, + -0.11844360326385896, + -0.12537992990702398, + -0.13345780545620042, + -0.14330006492451144, + -0.15549573212746354, + -0.17058173529836618, + -0.18902579666597752, + -0.21121095878391002, + -0.2374221707000429, + -0.26783530642091513, + -0.3025089278122238, + -0.3413790355788688, + -0.3842569769911005, + -0.4308305994374706, + -0.48066865667985603, + -0.5332283919196742, + -0.5878661405347305, + -0.6438507176564435, + -0.7003792835863074, + -0.7565953152239295, + -0.8116082558426562, + -0.8645143701282818, + -0.9144182975607487, + -0.960454775851338, + -1.0018099978236135, + -1.0377420700972526, + -1.0676000601220232, + -1.0908411491084817, + -1.107045451487173, + -1.1159281156733114, + -1.1173483848163004, + -1.1113153683262256, + -1.0979903535391597, + -1.0776855699933043, + -1.0508594044055748, + -1.0181081504648968, + -0.9801544618811251, + -0.9378327576723379, + -0.8920719034531049, + -0.8438755596548717, + -0.7943006455046446, + -0.7444344147720476, + -0.6953706745918199, + -0.6481857011933423, + -0.6039144155473148, + -0.5635273775266422, + -0.5279091392601838, + -0.4978384673532237, + -0.4739709002961965, + -0.4568240527263849, + -0.4467660135661279, + -0.44400711200111603, + -0.44859524555606306, + -0.4604148801081815, + -0.47918974460285874, + -0.5044891556174541, + -0.5357378208881971, + -0.5722288885624652, + -0.6131399322644869, + -0.6575514929272126, + -0.7044677384217047, + -0.7528387527562003, + -0.801583929206482, + -0.8496159170722841, + -0.8958645604132818, + -0.9393002693577381, + -0.9789562803190204, + -1.013949290290378, + -1.04349799158729, + -1.0669390859367176, + -1.0837404193652844, + -1.0935109503607463, + -1.0960073415147737, + -1.0911370473799191, + -1.0789578565548226, + -1.0596739319508928, + -1.0336284776800222, + -1.0012932419658573, + -0.963255140941258, + -0.9202003563123992, + -0.872896318991426, + -0.8221720394962577, + -0.7688972830210172, + -0.7139611117156394, + -0.65825032831178, + -0.6026283535512763, + -0.5479150550007454, + -0.49486801718581286, + -0.44416570328191285, + -0.39639290788445714, + -0.3520288399500325, + -0.3114381063915642, + -0.27486479176422146, + -0.24242974989192773, + -0.21413114116261733, + -0.1898481666291164, + -0.16934786906451407, + -0.15229479376476274, + -0.13826323010100092, + -0.12675169039089315, + -0.11719922718586184, + -0.10900314493584976, + -0.10153762831024506, + -0.0941727880487653, + -0.08629361660585506, + -0.07731835023092905, + -0.06671575136217178, + -0.05402085484805807, + -0.03884876278114272, + -0.02090612457373468, + -2.089326802477806e-16 + ], + [ + 0, + 0.024358500590042482, + 0.05161793179694887, + 0.08159630839335395, + 0.11401129370503697, + 0.14848777415420664, + 0.18456808223021998, + 0.22172460010424538, + 0.259374413349741, + 0.29689562988014334, + 0.3336449346564392, + 0.3689759170921528, + 0.40225768625910896, + 0.432893279545144, + 0.4603373735948878, + 0.4841128221193758, + 0.5038255731157258, + 0.5191775575132245, + 0.5299771912851969, + 0.5361471923987163, + 0.5377294811424846, + 0.5348870057038136, + 0.527902412527684, + 0.5171735610414747, + 0.5032059627616026, + 0.48660230359292195, + 0.4680492833049334, + 0.44830207582382187, + 0.42816677635283296, + 0.40848125484038744, + 0.3900948785881079, + 0.3738475987141856, + 0.36054891492614455, + 0.35095724007722756, + 0.3457601800640099, + 0.34555622587173146, + 0.3508383234100785, + 0.36197974393620536, + 0.37922262435580784, + 0.40266948381550416, + 0.43227795227411503, + 0.4678588698875849, + 0.5090778349384164, + 0.5554601946706198, + 0.6063993898003935, + 0.6611684817155538, + 0.7189346134663094, + 0.778776083508471, + 0.8397016465709397, + 0.9006716005829182, + 0.9606201736905314, + 1.0184786921387052, + 1.0731989890283415, + 1.1237765062120553, + 1.169272547075596, + 1.2088351565540412, + 1.2417181360173235, + 1.2672977438827446, + 1.285086686933618, + 1.2947450710361479, + 1.29608805170836, + 1.289090003064679, + 1.273885106141996, + 1.2507643425033732, + 1.2201689642505533, + 1.1826805950840285, + 1.1390081968002217, + 1.089972209671957, + 1.0364862417239604, + 0.9795367393762477, + 0.920161118896118, + 0.8594248734421769, + 0.798398193355974, + 0.7381326472184493, + 0.6796384678192933, + 0.6238629706916173, + 0.5716706036677168, + 0.5238250847512275, + 0.48097403350542195, + 0.4436364394234432, + 0.412193240904164, + 0.38688121223499106, + 0.3677902752613487, + 0.3548642691904237, + 0.34790512828075865, + 0.34658033506342645, + 0.3504334382357435, + 0.3588973513827262, + 0.371310082992521, + 0.38693249143375824, + 0.4049676120259388, + 0.42458106817265845, + 0.44492205557191117, + 0.46514437829400396, + 0.484427018235414, + 0.5019937350042434, + 0.5171312212401973, + 0.529205377982208, + 0.537675324945264, + 0.5421048201674282, + 0.5421708309215297, + 0.5376690713448871, + 0.5285164000668491, + 0.5147500512479871, + 0.4965237528724403, + 0.4741008648396118, + 0.4478447444129675, + 0.418206616028571, + 0.3857112846131313, + 0.3509410848656782, + 0.31451850209761084, + 0.27708793213890764, + 0.23929706772312562, + 0.20177840618255086, + 0.16513136805367698, + 0.12990549846652408, + 0.09658519343756458, + 0.0655763521755783, + 0.03719530529573813, + 0.011660308728642396, + -0.010914174359921829, + -0.030520254439049477, + -0.04725638697662619, + -0.061324140738147695, + -0.07302204803295459, + -0.08273669833100532, + -0.09093130898216864, + -0.09813207313903959, + -0.10491264372439978, + -0.11187716189793291, + -0.11964227769498195, + -0.12881863832518986, + -0.13999233530933577, + -0.15370680478163465, + -0.17044566579048973, + -0.19061695950951926, + -0.21453921845172227, + -0.24242974989192687, + -0.27439546285468, + -0.31042650457675375, + -0.3503929018841435, + -0.39404432719032756, + -0.4410130297184087, + -0.49081989205547405, + -0.5428834922826817, + -0.5965319746972423, + -0.6510174594987896, + -0.70553265558831, + -0.7592292825024933, + -0.8112378589608471, + -0.8606883777826383, + -0.9067313610141112, + -0.948558775680031, + -0.9854242900148356, + -1.0166623623957112, + -1.0417056802299556, + -1.060100503164251, + -1.0715195133047304, + -1.0757718335054078, + -1.0728099417881676, + -1.0627332839729544, + -1.0457884658179086, + -1.0223659884595306, + -0.9929935746809321, + -0.9583262164660611, + -0.9191331543790611, + -0.876282074566829, + -0.8307208777611873, + -0.7834574348571431, + -0.7355377939722172, + -0.6880233430948143, + -0.641967459525656, + -0.5983921916196853, + -0.5582655194737772, + -0.5224797291288723, + -0.4918314098375369, + -0.46700354658211907, + -0.4485501312093602, + -0.4368836564515856, + -0.43226578916151454, + -0.43480144394403464, + -0.4444363978477804, + -0.4609585028380823, + -0.48400246745090497, + -0.5130580943989451, + -0.5474817790232168, + -0.5865109963456344, + -0.6292814339532803, + -0.6748463657435843, + -0.7221978091873154, + -0.7702889674871637, + -0.8180574288157085, + -0.8644485784023567, + -0.9084386759856348, + -0.9490570611132655, + -0.9854069716920784, + -1.0166844964795083, + -1.0421952289829375, + -1.0613682473256951, + -1.0737671106315576, + -1.0790976357387583, + -1.0772122967698403, + -1.0681111723143144, + -1.0519394487029434, + -1.0289815710090209, + -0.9996522139643157, + -0.9644843209550292, + -0.924114528812484, + -0.8792663575433437, + -0.8307315959680878, + -0.7793503552078676, + -0.7259902911038015, + -0.6715255132888073, + -0.6168157023915372, + -0.5626859476855629, + -0.509907795676707, + -0.4591819662323447, + -0.4111231477821874, + -0.3662472280202898, + -0.3249612528192886, + -0.28755633534790775, + -0.254203661450597, + -0.22495365811863544, + -0.19973831134825393, + -0.17837653986497617, + -0.16058245409410696, + -0.14597625730288682, + -0.13409747983826578, + -0.12442017947869324, + -0.11636969254624628, + -0.10934048278288949, + -0.10271460900680869, + -0.09588031886281614, + -0.08825027488655536, + -0.07927893062037043, + -0.06847859833678933, + -0.05543378542225216, + -0.039813422734324325, + -0.021380664085435593, + -2.1310400095194086e-16 + ], + [ + 0, + 0.024686154970013377, + 0.052125079512323105, + 0.08208937291911678, + 0.1142577764818723, + 0.1482239923616321, + 0.18350793737726873, + 0.21956913560709151, + 0.2558218972150969, + 0.2916518834078962, + 0.32643362011624477, + 0.35954849683455453, + 0.39040277272109875, + 0.418445109941877, + 0.44318316440632677, + 0.4641987862582153, + 0.481161416211664, + 0.49383930823163863, + 0.502108263052017, + 0.5059576192615591, + 0.5054933176186764, + 0.5009379281590104, + 0.49262760668687505, + 0.4810060254621972, + 0.466615400344592, + 0.4500848113870119, + 0.43211608399817086, + 0.4134675615422929, + 0.394936155998467, + 0.3773381096382063, + 0.3614889364085277, + 0.34818303590069893, + 0.33817348479876397, + 0.33215251019571507, + 0.3307331361083092, + 0.33443246919517594, + 0.34365705267400387, + 0.3586906696201387, + 0.37968491935900084, + 0.40665282492820376, + 0.43946565717984415, + 0.477853083785313, + 0.5214066710853656, + 0.5695866853665579, + 0.6217320597408051, + 0.6770733153372805, + 0.734748152896033, + 0.7938193648755317, + 0.8532946604862913, + 0.9121479480733664, + 0.9693415821886534, + 1.0238490574503225, + 1.0746776185220996, + 1.1208902555950477, + 1.1616265676399935, + 1.1961220011260623, + 1.223725009268154, + 1.2439117252785454, + 1.256297801388608, + 1.260647132166397, + 1.256877254266915, + 1.2450612934277039, + 1.2254264113521725, + 1.1983487881178314, + 1.1643452578888769, + 1.1240617950055776, + 1.0782591220398148, + 1.0277957793373085, + 0.973609055264929, + 0.9166942264002019, + 0.8580825960323409, + 0.798818846648975, + 0.739938236910559, + 0.6824441756211014, + 0.6272866943600464, + 0.5753423170314834, + 0.5273957892064343, + 0.4841240836681841, + 0.4460830421758788, + 0.41369694853724076, + 0.38725125623287887, + 0.36688861683623536, + 0.35260827522158356, + 0.34426881602144055, + 0.34159416498583905, + 0.34418267078886183, + 0.35151901933211205, + 0.36298866550211145, + 0.37789440827901866, + 0.3954746854958594, + 0.41492312560206007, + 0.43540886641798454, + 0.45609713571537774, + 0.4761695858552477, + 0.4948438846813898, + 0.5113920871141349, + 0.5251573458210684, + 0.5355685640761927, + 0.5421526483070911, + 0.5445440804841336, + 0.5424915998371987, + 0.535861857641544, + 0.5246399861240267, + 0.5089271009606771, + 0.4889348343993853, + 0.46497707080582257, + 0.43745912652860053, + 0.4068646796637141, + 0.3737408109846346, + 0.33868156361237445, + 0.3023104647861482, + 0.26526247748228815, + 0.22816586202654834, + 0.19162442796452034, + 0.1562006443168772, + 0.12240005227902216, + 0.09065738905643668, + 0.06132478576915842, + 0.03466234738374292, + 0.010831359842093836, + -0.010109699447024357, + -0.028206245051120047, + -0.043605734245227616, + -0.05655293510230224, + -0.06738243744485016, + -0.07650860438894155, + -0.0844132294037236, + -0.09163122425584397, + -0.09873471536957307, + -0.1063159686785972, + -0.11496959488463178, + -0.1252745073502075, + -0.13777611310685947, + -0.15296921342720676, + -0.17128207417075125, + -0.19306209805662716, + -0.21856349182764934, + -0.247937271915368, + -0.2812238939189926, + -0.31834872542188014, + -0.3591205100284735, + -0.40323289480237995, + -0.4502690154180928, + -0.4997090552580556, + -0.5509406183558381, + -0.6032716834279059, + -0.6559458390856722, + -0.7081594403772465, + -0.759080275599535, + -0.8078672911560156, + -0.8536908921762896, + -0.8957533184485702, + -0.9333085894393041, + -0.9656815189716876, + -0.992285319381225, + -1.0126373462263059, + -1.0263725771705041, + -1.0332544714545606, + -1.0331829181671919, + -1.026199050806332, + -1.0124867807091518, + -0.9923709809857815, + -0.9663123336818764, + -0.9348989340282264, + -0.8988348248162414, + -0.8589257092148848, + -0.8160621598587295, + -0.7712007040685476, + -0.7253432180759327, + -0.6795151057931598, + -0.634742768931154, + -0.5920308943342493, + -0.5523400907805813, + -0.5165654010123645, + -0.4855161955482005, + -0.4598979233384707, + -0.44029615130604866, + -0.4271632713015562, + -0.42080819028742134, + -0.4213892491662528, + -0.4289105392937926, + -0.4432217052194232, + -0.4640212395337966, + -0.49086319288293373, + -0.5231671412445298, + -0.5602311754230459, + -0.6012476062793927, + -0.6453210152026607, + -0.6914882243068381, + -0.7387397161255265, + -0.7860419992595781, + -0.832360395304278, + -0.8766817139424006, + -0.9180362875244875, + -0.9555188536394541, + -0.9883078036665267, + -1.0156823563511392, + -1.0370372670386228, + -1.0518947440480473, + -1.0599133122675684, + -1.0608934387068274, + -1.0547798136103979, + -1.0416602618775666, + -1.0217613409540238, + -0.9954407610635744, + -0.9631768396820568, + -0.925555272665071, + -0.8832535677095624, + -0.8370235403230147, + -0.7876723168790434, + -0.7360423225927776, + -0.6829907535701063, + -0.6293690409849103, + -0.5760028117402627, + -0.5236728338076566, + -0.4730974062566067, + -0.42491661452616164, + -0.37967882176939216, + -0.3378297083939685, + -0.29970410571941836, + -0.26552079765049225, + -0.23538038824387847, + -0.20926625493551304, + -0.1870485289591776, + -0.16849096808448671, + -0.15326051414442105, + -0.14093926072256965, + -0.13103849649907676, + -0.12301443859880741, + -0.11628522911137179, + -0.11024873777393196, + -0.10430069536040577, + -0.09785267604545038, + -0.0903494530428085, + -0.08128526998033331, + -0.07021860028848224, + -0.0567850075730793, + -0.0407077704714022, + -0.02180599456130316, + -2.166932585206883e-16 + ], + [ + 0, + 0.02493162644553637, + 0.05244851262660801, + 0.08228248706539935, + 0.11407858976078741, + 0.1474049790118321, + 0.18176504719700567, + 0.21661142559381596, + 0.25136150832616505, + 0.2854140849617766, + 0.3181666411879684, + 0.3490328681464992, + 0.3774599139001129, + 0.40294491533249716, + 0.42505036544714675, + 0.44341789912857116, + 0.4577801192728119, + 0.4679701338235095, + 0.473928531457668, + 0.47570758802721586, + 0.4734725657719202, + 0.46750004102763276, + 0.45817327181420964, + 0.4459746924003956, + 0.4314756958040314, + 0.41532393533334416, + 0.398228440935935, + 0.3809429036571657, + 0.36424753045405334, + 0.3489299107110427, + 0.3357653640494425, + 0.32549725567056675, + 0.31881777006869166, + 0.31634962633772656, + 0.31862919862243894, + 0.32609147397849375, + 0.33905723774259217, + 0.3577228244831402, + 0.3821527119588343, + 0.4122751677291825, + 0.44788108478925265, + 0.4886260656321928, + 0.5340357353639169, + 0.5835141858399917, + 0.6363553762013027, + 0.6917572425415477, + 0.748838202541198, + 0.8066556814062313, + 0.8642262348331797, + 0.9205468042463711, + 0.974616610232572, + 1.0254591726740228, + 1.0721439410028915, + 1.1138070254160053, + 1.1496705396390554, + 1.1790600974523442, + 1.2014200479317647, + 1.2163260871920396, + 1.2234949460690003, + 1.2227909221516, + 1.214229099199932, + 1.197975175450898, + 1.1743419027118929, + 1.1437822185205984, + 1.106879232051604, + 1.064333298972289, + 1.0169464892806057, + 0.9656048136250008, + 0.911258626221731, + 0.8549016649740113, + 0.7975492207369962, + 0.7402159471113776, + 0.6838938292282954, + 0.6295308245534783, + 0.5780106709405396, + 0.5301343274562792, + 0.48660347263009285, + 0.4480064337638386, + 0.41480686104320263, + 0.3873353928991667, + 0.3657844860394338, + 0.35020650660443614, + 0.3405150998937648, + 0.33648977699656907, + 0.3377835793826436, + 0.34393360895946945, + 0.3543741430688748, + 0.36845199303996634, + 0.38544371270672684, + 0.40457422099685003, + 0.42503637131309874, + 0.4460109806978053, + 0.46668682414322005, + 0.48628010403269245, + 0.5040529214139311, + 0.5193303041598348, + 0.5315153863213697, + 0.540102382108095, + 0.5446870556898316, + 0.5449744529302221, + 0.5407837315974396, + 0.5320500007731233, + 0.518823156232311, + 0.5012637745867569, + 0.4796362030679135, + 0.4542990521231821, + 0.42569336275670644, + 0.39432877815322803, + 0.36076809815133243, + 0.32561063436919013, + 0.2894748122675666, + 0.2529804834685465, + 0.21673141682947153, + 0.18129842999371845, + 0.14720360459713766, + 0.114905998490876, + 0.08478922802041913, + 0.05715124361290728, + 0.03219656394343607, + 0.010031169254642711, + -0.009339815360892262, + -0.026011588965447183, + -0.040176312816746135, + -0.05211700823876636, + -0.06219887683040814, + -0.070858273078991, + -0.07858962113421974, + -0.08593062174704454, + -0.09344614080437268, + -0.1017112063340988, + -0.1112935654054467, + -0.12273626537088865, + -0.1365407250414833, + -0.15315075060955521, + -0.17293792868348107, + -0.19618879522522872, + -0.2230941353089485, + -0.2537407155351717, + -0.2881056899601024, + -0.3260538530532063, + -0.3673378411617558, + -0.4116013090415197, + -0.45838503208744275, + -0.5071358098748359, + -0.5572179743893078, + -0.6079272387054862, + -0.6585065605819092, + -0.7081636420291761, + -0.7560896417442133, + -0.8014786435207911, + -0.843547401224629, + -0.8815548702611384, + -0.9148210369716174, + -0.9427445710739502, + -0.964818851818312, + -0.9806459553630136, + -0.9899482381150326, + -0.9925772072882122, + -0.9885194343418038, + -0.9778993377060572, + -0.9609787365530525, + -0.9381531554851777, + -0.9099449389738903, + -0.8769933122456963, + -0.8400416001625275, + -0.7999218856317613, + -0.7575374524755762, + -0.7138434129183365, + -0.6698259655399968, + -0.6264807645523931, + -0.5847909047027915, + -0.5457050373980435, + -0.5101161324734513, + -0.4788413864085961, + -0.4526037520299462, + -0.43201552744623584, + -0.4175643940310357, + -0.4096022358519213, + -0.4083370074354878, + -0.41382784473931694, + -0.42598353742341133, + -0.44456440083951404, + -0.4691875055234892, + -0.4993351423437524, + -0.5343663247635917, + -0.5735310577810451, + -0.6159870377629496, + -0.6608183901753572, + -0.7070560045165468, + -0.7536989887334488, + -0.799736739937499, + -0.8441711149384591, + -0.8860381832922811, + -0.9244290572138341, + -0.9585093165335243, + -0.9875365822769424, + -1.0108758385336045, + -1.0280121579093688, + -1.0385605496486199, + -1.0422727198906192, + -1.0390406087535589, + -1.0288966471678997, + -1.0120107556850224, + -0.9886841859224856, + -0.9593403809530351, + -0.9245131019528705, + -0.8848321330658054, + -0.8410069331443892, + -0.7938086504267847, + -0.7440509531618408, + -0.6925701548274794, + -0.6402051263045277, + -0.5877774888705741, + -0.5360725711710873, + -0.4858215907146005, + -0.4376854865272058, + -0.3922407852693761, + -0.3499678295028466, + -0.3112416352626717, + -0.27632557819933123, + -0.24536803502210186, + -0.21840203162440477, + -0.19534787299707962, + -0.17601865474818268, + -0.16012848363116097, + -0.14730316674473468, + -0.137093067694624, + -0.12898777452407956, + -0.12243217995141022, + -0.11684354048957538, + -0.11162905819645166, + -0.1062035176650509, + -0.10000651166700918, + -0.09251880156602531, + -0.08327738287772944, + -0.0718888615355994, + -0.058040791621958646, + -0.04151067938049628, + -0.022172419861952113, + -2.1961979737108725e-16 + ], + [ + 0, + 0.025088625794153607, + 0.052578444615261316, + 0.08216541720512201, + 0.1134662545966399, + 0.1460292512280463, + 0.1793470917371, + 0.2128712922859231, + 0.24602789388899768, + 0.2782339916037906, + 0.30891466045799887, + 0.33751982722486695, + 0.3635406369315877, + 0.38652487431843063, + 0.40609102308993766, + 0.42194057916183975, + 0.43386827738498446, + 0.44176994334675035, + 0.44564774151363923, + 0.4456126566968342, + 0.4418841159519239, + 0.4347867308075685, + 0.42474421332871837, + 0.41227059210705813, + 0.39795892400560695, + 0.3824677626046488, + 0.36650570315290704, + 0.3508143749249242, + 0.3361502939172242, + 0.32326602069999255, + 0.312891089146316, + 0.3057131811280447, + 0.3023600198228202, + 0.3033824400408997, + 0.3092390682667661, + 0.3202830085186353, + 0.33675088353018884, + 0.358754525274647, + 0.3862755458261761, + 0.4191629505219533, + 0.45713388203650684, + 0.49977750810523636, + 0.546561989099648, + 0.5968443863461664, + 0.6498832998505223, + 0.7048539567253204, + 0.7608654107875104, + 0.8169794610053062, + 0.872230853045247, + 0.9256482951861645, + 0.9762757981590985, + 1.023193838596147, + 1.065539847992114, + 1.1025275433694186, + 1.1334646418613397, + 1.1577685385753322, + 1.1749795744773583, + 1.1847715775087462, + 1.1869594243440154, + 1.1815034405661295, + 1.1685105318673183, + 1.1482320163614177, + 1.121058206334562, + 1.087509864862815, + 1.048226736813361, + 1.0039534230192908, + 0.9555229291939973, + 0.903838275906104, + 0.8498526013432838, + 0.7945482235555823, + 0.7389151525455147, + 0.6839295543985655, + 0.630532669350894, + 0.5796106732943679, + 0.5319759480429114, + 0.4883501903370249, + 0.44934974392675614, + 0.4154734842805167, + 0.38709352287347853, + 0.36444892916072125, + 0.34764259493299765, + 0.3366412895930876, + 0.33127887784835697, + 0.3312625952791247, + 0.336182204073182, + 0.34552178270051337, + 0.3586738411070137, + 0.37495539864062316, + 0.3936256167002591, + 0.41390454310130725, + 0.43499250121024, + 0.4560896445691229, + 0.47641519727385856, + 0.49522591175892905, + 0.5118332985537561, + 0.5256192164040469, + 0.5360494550190045, + 0.5426849954877158, + 0.545190693762463, + 0.543341199004704, + 0.5370239893557217, + 0.5262394810480582, + 0.5110982408746658, + 0.491815405024661, + 0.46870247735319975, + 0.44215674553136847, + 0.4126486125930886, + 0.380707192694122, + 0.34690456215465043, + 0.31183908903166363, + 0.2761182857750417, + 0.24034163945007225, + 0.20508387233369546, + 0.17087907247841083, + 0.13820610944233533, + 0.10747571544307204, + 0.07901956760782186, + 0.053081653905251824, + 0.029812145111777256, + 0.009263929320590648, + -0.008608104279135328, + -0.02394501756970847, + -0.036979069116581754, + -0.048026381503811055, + -0.057477226159311945, + -0.06578418391271255, + -0.07344849540781646, + -0.08100496335124709, + -0.08900580719822238, + -0.09800389926727149, + -0.10853582870683333, + -0.12110524575234491, + -0.13616693314403253, + -0.15411203454603076, + -0.17525484172815248, + -0.19982150383266142, + -0.22794097420119913, + -0.259638454170934, + -0.2948315303618205, + -0.333329133839651, + -0.3748333778582006, + -0.41894425745578023, + -0.46516712085163403, + -0.5129227512016932, + -0.5615598296319505, + -0.6103694882818902, + -0.6586016069377947, + -0.7054824601216225, + -0.7502332844233863, + -0.7920893093830796, + -0.8303187800399646, + -0.8642414957901341, + -0.8932463985546643, + -0.9168077632930423, + -0.9344995751419127, + -0.9460077191798968, + -0.9511396600158799, + -0.9498313478338315, + -0.9421511537581689, + -0.9283007088143846, + -0.9086125956029943, + -0.8835449182449402, + -0.8536728523143793, + -0.8196773504738886, + -0.7823312495414848, + -0.7424830890163681, + -0.7010390080769442, + -0.6589431363239505, + -0.6171569318684983, + -0.5766379477982398, + -0.5383185238985398, + -0.50308490434818, + -0.4717572738332695, + -0.44507118430840903, + -0.4236608129544852, + -0.4080444494922546, + -0.3986125589290981, + -0.3956187052994917, + -0.39917355447279734, + -0.40924210128115884, + -0.42564418983352936, + -0.4480583177851985, + -0.4760286374241071, + -0.5089749906098896, + -0.5462057427024957, + -0.5869331143916016, + -0.6302906513939379, + -0.6753524217526704, + -0.7211534901667788, + -0.7667111893710944, + -0.8110466907838516, + -0.8532063708585674, + -0.8922824759457828, + -0.9274326068152309, + -0.9578975738445603, + -0.9830172144994852, + -1.0022438151015012, + -1.0151528377551786, + -1.0214507192320035, + -1.0209795799559656, + -1.013718756250812, + -0.9997831458463944, + -0.9794184334164391, + -0.9529933377519978, + -0.9209890932348228, + -0.8839864438304429, + -0.8426504862785175, + -0.7977137491029813, + -0.7499579342947396, + -0.7001947780757168, + -0.6492465053412374, + -0.5979263587872342, + -0.5470196782408893, + -0.49726598850464393, + -0.44934252556013876, + -0.4038495920054098, + -0.36129808411901726, + -0.3220994761962224, + -0.28655848422515984, + -0.25486856217208614, + -0.22711031185734837, + -0.20325281344431662, + -0.18315780978628307, + -0.16658660612693424, + -0.15320947871980137, + -0.1426173235133467, + -0.13433522069218043, + -0.1278375439428581, + -0.12256420598265305, + -0.11793760506717699, + -0.11337982152830535, + -0.1083296092572764, + -0.10225873451887725, + -0.0946872333494397, + -0.08519718855616175, + -0.07344466722671239, + -0.05916950865111493, + -0.042202709399322816, + -0.022471215538103013, + -2.2181305355445907e-16 + ], + [ + 0, + 0.025152089929553537, + 0.052507648535497595, + 0.08173186284284138, + 0.11241856948422915, + 0.1441018492650197, + 0.17626935396744808, + 0.20837701159641897, + 0.23986471956042044, + 0.27017260855085956, + 0.29875744381980324, + 0.32510872557941134, + 0.34876405649711817, + 0.3693233615971161, + 0.38646157387996904, + 0.39993943694839285, + 0.40961212293678445, + 0.41543541891485497, + 0.4174692963023544, + 0.41587874415762793, + 0.41093181682591484, + 0.4029949176065075, + 0.39252541103173516, + 0.38006172525850074, + 0.3662111712152837, + 0.3516357648755159, + 0.3370363918253757, + 0.3231356978139453, + 0.3106601240736729, + 0.3003215309694018, + 0.2927988673207014, + 0.28872034516313505, + 0.288646570670019, + 0.2930550616329018, + 0.3023265507633214, + 0.3167334328669417, + 0.336430663642669, + 0.361449359690155, + 0.3916932846836528, + 0.426938337166033, + 0.46683508273577284, + 0.5109142993260246, + 0.5585954306309119, + 0.6091977713354781, + 0.66195414041607, + 0.7160267370657101, + 0.7705248192956619, + 0.8245237993266284, + 0.8770853136588662, + 0.927277800110944, + 0.9741970997928405, + 1.0169865993054847, + 1.0548564375245437, + 1.087101321932212, + 1.113116531124135, + 1.1324117220847656, + 1.1446222120852925, + 1.1495174643768011, + 1.1470065727920282, + 1.137140611333129, + 1.1201117890875094, + 1.0962494265744442, + 1.0660128450400999, + 1.0299813334539238, + 0.9888414272343582, + 0.9433717963626878, + 0.8944260969850288, + 0.8429141884846214, + 0.7897821561706819, + 0.7359916072547729, + 0.6824987240115203, + 0.6302335625641783, + 0.5800800785009824, + 0.5328573417072661, + 0.4893023728668726, + 0.4500549937920795, + 0.41564503408465153, + 0.38648217884110664, + 0.3628486776193302, + 0.34489506527113023, + 0.3326389722283827, + 0.32596702720276666, + 0.32463978085044487, + 0.32829950658473345, + 0.33648066615943617, + 0.34862276456356334, + 0.364085262696759, + 0.3821641685902192, + 0.40210988974706147, + 0.42314590140881064, + 0.4444877688610282, + 0.4653620566462375, + 0.48502466384717946, + 0.5027781422431743, + 0.5179875826515866, + 0.5300946934010393, + 0.5386297426499672, + 0.5432210919452191, + 0.5436021105991453, + 0.5396153275795622, + 0.531213747965719, + 0.5184593328583763, + 0.5015187131437758, + 0.48065627691222784, + 0.4562248358908694, + 0.4286541363354364, + 0.3984375329458357, + 0.36611718921045205, + 0.33226820303963034, + 0.29748208175170754, + 0.26235000481597925, + 0.22744631589998884, + 0.19331267765890836, + 0.16044330357069078, + 0.12927165146663583, + 0.10015892400158012, + 0.07338467316383193, + 0.049139750273807105, + 0.027521781181581065, + 0.008533280118806759, + -0.007917553425986355, + -0.0220133806029495, + -0.03402170712042819, + -0.04428646743286008, + -0.053217434264635335, + -0.06127773559680611, + -0.06896981108840024, + -0.07682018126536769, + -0.08536343463202171, + -0.09512585932619906, + -0.10660915649463998, + -0.12027467192806675, + -0.1365285706665546, + -0.15570835654724624, + -0.17807110557536263, + -0.20378373937410527, + -0.23291561386853538, + -0.26543364005654657, + -0.3012000896733284, + -0.3399731703672712, + -0.38141038438515346, + -0.42507461348653, + -0.4704428026651604, + -0.5169170480177657, + -0.5638378314667154, + -0.6104990886010919, + -0.6561647470859716, + -0.7000863331510743, + -0.7415212136368325, + -0.779751021732665, + -0.814099806408551, + -0.8439514488582499, + -0.868765903997416, + -0.888093850865163, + -0.9015893720597717, + -0.9090203282329241, + -0.9102761480661611, + -0.9053728157386822, + -0.894454905166635, + -0.8777945816057667, + -0.8557875648134124, + -0.8289461220533315, + -0.7978892319733791, + -0.7633301299958577, + -0.7260615106126714, + -0.6869387202668468, + -0.646861324880054, + -0.6067534772964681, + -0.5675435409234221, + -0.5301434458759764, + -0.4954282624607087, + -0.46421647363141405, + -0.4372514131711539, + -0.41518431014297674, + -0.39855934322663533, + -0.387801061804389, + -0.38320447520192696, + -0.38492804867060537, + -0.39298977603661917, + -0.4072664261072541, + -0.4274959846831056, + -0.45328323820692024, + -0.4841083705280129, + -0.5193383727888217, + -0.5582409997848327, + -0.6000009459304356, + -0.6437378616431444, + -0.6885257878052348, + -0.733413553018552, + -0.7774456564278472, + -0.8196831484734215, + -0.8592240232857038, + -0.8952226495044382, + -0.9269077907584928, + -0.9535988022652948, + -0.9747196351247637, + -0.9898103337726988, + -0.9985357733911165, + -1.0006914513348975, + -0.9962062181693324, + -0.9851419079632676, + -0.9676899022302718, + -0.9441647355243848, + -0.9149949213775228, + -0.8807112432881888, + -0.8419328152294249, + -0.7993512681894387, + -0.7537134623353768, + -0.7058031574680131, + -0.6564220967302655, + -0.6063709695311684, + -0.5564307191157247, + -0.5073446482018132, + -0.4598017529546413, + -0.4144216818883202, + -0.3717416729447891, + -0.33220577011138935, + -0.29615656181889555, + -0.2638296185074907, + -0.23535073779405863, + -0.21073603435354216, + -0.18989483972873633, + -0.17263530660583934, + -0.1586725444021897, + -0.14763904999459834, + -0.13909714063805123, + -0.13255304699272236, + -0.127472283905694, + -0.1232958861719336, + -0.11945707666786967, + -0.11539792548449611, + -0.11058556118124263, + -0.10452750894983595, + -0.09678575495146022, + -0.08698917073221143, + -0.0748439755376097, + -0.06014196641110536, + -0.042766304844330714, + -0.022694712948131857, + -2.232131868199314e-16 + ], + [ + 0, + 0.025118216946375324, + 0.052231489732126664, + 0.08097944879127424, + 0.11093852436976846, + 0.1416341366266994, + 0.17255437348780828, + 0.2031647923449387, + 0.23292395162453883, + 0.2612992582546465, + 0.2877827076600574, + 0.3119060943601645, + 0.3332552835108989, + 0.35148315652640244, + 0.36632087667730534, + 0.37758716247908414, + 0.38519530671292596, + 0.38915773581436697, + 0.38958796669896156, + 0.3866998843076517, + 0.3808043315857003, + 0.37230307253783007, + 0.36168025669279796, + 0.34949157805505954, + 0.3363513817819289, + 0.3229180258757577, + 0.30987785174578664, + 0.297928155381581, + 0.2877595791115193, + 0.280038361756971, + 0.27538889195449245, + 0.27437700529364567, + 0.27749445077167423, + 0.28514492623757753, + 0.2976320465930078, + 0.31514956339355227, + 0.33777410124012003, + 0.36546061625924325, + 0.3980407165086321, + 0.43522391491212004, + 0.4766018140249902, + 0.5216551503102166, + 0.5697635554337233, + 0.6202178250954067, + 0.6722344237605618, + 0.7249718978854235, + 0.7775488222282768, + 0.8290628648026568, + 0.8786105269413778, + 0.9253070965362202, + 0.9683063452730358, + 1.006819504797304, + 1.040133072143182, + 1.0676250210852527, + 1.0887790327030022, + 1.103196404506571, + 1.1106053518493633, + 1.110867476734502, + 1.1039812460209708, + 1.0900823918283582, + 1.069441219906899, + 1.042456885108305, + 1.0096487650785062, + 0.9716451321452263, + 0.9291693874169018, + 0.8830241787882791, + 0.8340737744613579, + 0.7832251045277583, + 0.7314079141300752, + 0.6795544919790656, + 0.6285794470679099, + 0.5793600040849819, + 0.5327172743536697, + 0.4893989344697096, + 0.450063709780377, + 0.41526801532614427, + 0.38545505394620155, + 0.36094661124148353, + 0.3419377214710661, + 0.3284943088446851, + 0.32055383677531346, + 0.3179289252347359, + 0.32031382518483026, + 0.3272935708770177, + 0.3383555672844036, + 0.3529033126000731, + 0.37027190598967147, + 0.3897449498258178, + 0.4105724244358052, + 0.43198909269914154, + 0.45323298211340834, + 0.4735634934089267, + 0.4922786973610903, + 0.5087314047753907, + 0.522343628089974, + 0.5326190957895481, + 0.5391535317602761, + 0.5416424695443759, + 0.5398864347139786, + 0.5337933956828279, + 0.523378452526262, + 0.5087608030493133, + 0.4901580936876834, + 0.46787832814176783, + 0.4423095673036231, + 0.4139077085346001, + 0.3831826793377717, + 0.3506834187854074, + 0.31698204876787456, + 0.2826576555289983, + 0.24828010960629854, + 0.21439434903492022, + 0.18150553660780894, + 0.15006547748945495, + 0.1204606491952212, + 0.09300215275732307, + 0.06791784290915201, + 0.04534683763416459, + 0.025336544908724813, + 0.007842278510276145, + -0.0072705329610727055, + -0.020221607468484754, + -0.031308671047595604, + -0.0408981118978444, + -0.0494136773135506, + -0.05732351509857116, + -0.06512590477533307, + -0.07333405873421195, + -0.08246039858223668, + -0.09300072669505798, + -0.10541871696798677, + -0.12013114188618708, + -0.13749423544992204, + -0.15779156362697203, + -0.1812237365490434, + -0.20790025055243835, + -0.23783369453473188, + -0.2709364952984694, + -0.30702031207697844, + -0.3457981229028042, + -0.38688897658243554, + -0.42982531551522296, + -0.47406270816695, + -0.5189917673574523, + -0.5639519732336561, + -0.6082470693302026, + -0.6511616577575802, + -0.6919785863906381, + -0.7299966978196422, + -0.7645484973833283, + -0.7950172961759506, + -0.8208533945814637, + -0.8415888924350869, + -0.8568507428715316, + -0.8663717075561173, + -0.8699989203336478, + -0.867699823175764, + -0.8595653012770103, + -0.845809911704749, + -0.8267691704927457, + -0.8028939347513108, + -0.7747419874832441, + -0.7429670015900497, + -0.7083051243257033, + -0.671559482601136, + -0.6335829615918631, + -0.5952596527568056, + -0.557485401545933, + -0.5211479088964681, + -0.48710685348480487, + -0.4561745032742096, + -0.429097275114946, + -0.40653868023034034, + -0.38906406184983744, + -0.377127489781155, + -0.37106112634394595, + -0.3710673200326879, + -0.3772136189413931, + -0.3894308269272392, + -0.4075141533907889, + -0.43112743415911553, + -0.45981032805932415, + -0.49298832313654106, + -0.5299853198201898, + -0.5700384972958348, + -0.6123151153802066, + -0.655930858633777, + -0.6999692933821504, + -0.7435019826253241, + -0.7856087891089402, + -0.8253978934609655, + -0.862025062330272, + -0.8947117206900113, + -0.9227614124044877, + -0.9455742730573451, + -0.9626591879119979, + -0.9736433645138729, + -0.9782791124514102, + -0.9764476906172057, + -0.9681601532850914, + -0.9535551987011758, + -0.9328940959033379, + -0.9065528353727846, + -0.8750117151770291, + -0.8388426348776338, + -0.7986944231769979, + -0.7552765707685744, + -0.7093417760412116, + -0.6616677373102392, + -0.6130386404972967, + -0.5642267953172854, + -0.5159748659893976, + -0.4689791244816358, + -0.42387412580773415, + -0.3812191666632312, + -0.34148684169551907, + -0.3050539571474639, + -0.2721950008775686, + -0.24307830237403683, + -0.21776494799009014, + -0.1962104469490682, + -0.1782690744444217, + -0.1637007511205627, + -0.15218025503643204, + -0.14330850445570245, + -0.1366255989080957, + -0.1316252631833777, + -0.12777030530581715, + -0.12450867591335532, + -0.12128970340181379, + -0.11758007699384866, + -0.11287915858578418, + -0.10673322357016411, + -0.09874826031785719, + -0.08860099686684032, + -0.07604787060632567, + -0.06093171115614637, + -0.043185966834339534, + -0.022836369548454215, + -2.237715756273732e-16 + ], + [ + 0, + 0.024984485578599988, + 0.051747927101542704, + 0.0799096706060134, + 0.10903415398926151, + 0.13864352772513253, + 0.16823151885309426, + 0.19727816866291975, + 0.22526505095827318, + 0.2516905643060041, + 0.2760848886166462, + 0.29802420384497214, + 0.317143786372492, + 0.33314962630124906, + 0.34582824576538224, + 0.35505444353635807, + 0.36079674353243574, + 0.3631203830340062, + 0.36218773899605766, + 0.3582561562664525, + 0.3516732081197253, + 0.3428694856239133, + 0.3323490763050623, + 0.32067795274412936, + 0.30847054660907397, + 0.29637483179584184, + 0.285056280595094, + 0.27518108808214997, + 0.2673990814324401, + 0.26232674202303885, + 0.2605307686786011, + 0.26251260020842687, + 0.268694294678325, + 0.27940613214599264, + 0.29487626759157004, + 0.31522271245800887, + 0.3404478677499729, + 0.3704357703763239, + 0.4049521488578342, + 0.4436473162665197, + 0.48606185899404586, + 0.5316350113708164, + 0.5797155399680375, + 0.6295748992500219, + 0.680422363645181, + 0.7314217914790002, + 0.7817096347990071, + 0.8304137769584633, + 0.8766727577242972, + 0.919654934201523, + 0.9585771253262608, + 0.9927222981095031, + 1.0214558749812674, + 1.0442402729931919, + 1.060647326538269, + 1.0703682946568454, + 1.0732212107260573, + 1.069155395002775, + 1.0582530175883575, + 1.0407276692779368, + 1.0169199687489974, + 0.9872903049074443, + 0.9524088812325414, + 0.9129432929904574, + 0.869643926662495, + 0.8233275224371412, + 0.7748592838944627, + 0.7251339530180205, + 0.6750562925820731, + 0.6255214312058044, + 0.5773955286295024, + 0.5314972100059436, + 0.48858019844056255, + 0.44931754514678035, + 0.414287817151049, + 0.38396355446214525, + 0.3587022531967033, + 0.3387400696939298, + 0.3241883746686342, + 0.3150332175643102, + 0.31113769116637113, + 0.3122471169366902, + 0.31799690413557186, + 0.3279228722504027, + 0.3414737680978327, + 0.3580256576190489, + 0.37689782908558644, + 0.39736981021552187, + 0.41869907737969575, + 0.4401390212218448, + 0.46095672993233244, + 0.4804501591428591, + 0.4979642757218156, + 0.512905791158025, + 0.5247561379867962, + 0.5330823888682249, + 0.5375458712997281, + 0.5379082901821175, + 0.5340352340680719, + 0.5258970073050659, + 0.5135667977776007, + 0.4972162568681211, + 0.47710863292230377, + 0.45358966031236325, + 0.42707646163096474, + 0.3980447692450313, + 0.36701481319097484, + 0.3345362541996091, + 0.3011725627249494, + 0.2674852566856885, + 0.23401841193881148, + 0.20128385028325427, + 0.16974739029367697, + 0.139816517024096, + 0.11182978835637233, + 0.08604824948310448, + 0.06264907389247233, + 0.04172159061901732, + 0.02326579493104495, + 0.0071933746333326136, + -0.006668781576377803, + -0.018572692078479693, + -0.028841167266445294, + -0.037857690192037094, + -0.04605456415769061, + -0.0538996440303302, + -0.06188200547675443, + -0.07049693468088056, + -0.08023063967142878, + -0.09154509268525038, + -0.10486341079517827, + -0.12055616938482974, + -0.13892902026228354, + -0.16021195383174622, + -0.18455050359075253, + -0.21199914231555486, + -0.24251706386085356, + -0.27596648391958845, + -0.3121135288832912, + -0.35063171572580276, + -0.3911079592689017, + -0.43305097795487046, + -0.4759019069953096, + -0.5190468700632248, + -0.5618312090111979, + -0.6035750267493469, + -0.6435896625390466, + -0.6811946924788871, + -0.7157350315724803, + -0.7465977079171016, + -0.7732278844198841, + -0.7951437189496343, + -0.8119496796174758, + -0.8233479673420117, + -0.8291477421458957, + -0.829271901680804, + -0.8237612190217192, + -0.8127757103802589, + -0.7965931705027144, + -0.7756048824933583, + -0.7503085779397405, + -0.7212987908087056, + -0.6892548129590595, + -0.6549265186840676, + -0.6191183789754917, + -0.5826720318633024, + -0.5464478120898809, + -0.5113056705967293, + -0.47808593114381326, + -0.44759033741028914, + -0.42056383896836125, + -0.39767754867780003, + -0.37951327768286997, + -0.3665500179304299, + -0.3591526968362989, + -0.3575634754969397, + -0.3618958019618153, + -0.37213136599878655, + -0.388120033080002, + -0.4095827646577767, + -0.4361174609066707, + -0.4672075927036512, + -0.5022334233911147, + -0.5404855594284823, + -0.5811805138809794, + -0.6234779191589527, + -0.6664989866609, + -0.7093457819264742, + -0.7511208652720891, + -0.7909468401061591, + -0.827985354381991, + -0.8614551148524329, + -0.8906484985815938, + -0.9149463809267133, + -0.9338308430652548, + -0.9468954740241665, + -0.9538530407899838, + -0.954540363996972, + -0.9489203043342341, + -0.9370808345214467, + -0.919231241768071, + -0.895695574338254, + -0.866903511515195, + -0.8333788972943583, + -0.7957262330514593, + -0.7546154718992345, + -0.7107654963234868, + -0.6649266900446346, + -0.6178630341941556, + -0.570334166387372, + -0.5230778389407297, + -0.47679319941705806, + -0.4321252932452617, + -0.3896511549669742, + -0.3498678125672075, + -0.3131824794237545, + -0.2799051519270656, + -0.2502437692049086, + -0.22430202618508904, + -0.20207986408126405, + -0.1834765949725103, + -0.16829655115111625, + -0.15625708698016572, + -0.1469987026980853, + -0.14009700737794273, + -0.13507619338664345, + -0.13142365829826422, + -0.12860538318758108, + -0.12608165921928322, + -0.12332274785821508, + -0.11982406399710953, + -0.11512048570639727, + -0.10879941876974479, + -0.10051227804095358, + -0.08998409006917467, + -0.07702097130263329, + -0.06151529222267146, + -0.04344839855197037, + -0.02289082467708968, + -2.2345117074042243e-16 + ], + [ + 0, + 0.024749659003940286, + 0.051057483224821926, + 0.07852779440530398, + 0.1067183328893848, + 0.13515314703805678, + 0.1633364843951698, + 0.19076731364222846, + 0.21695408919016876, + 0.2414293630099294, + 0.26376385119526086, + 0.28357957571885933, + 0.30056172457088054, + 0.31446890539544997, + 0.3251415080720446, + 0.3325079394182679, + 0.3365885471249057, + 0.3374971088218719, + 0.3354398243394739, + 0.33071181321088045, + 0.32369118364816385, + 0.3148308019973067, + 0.30464795145112566, + 0.2937121240594298, + 0.2826312394192634, + 0.27203662559654274, + 0.26256713174237317, + 0.2548527666457562, + 0.24949827245834785, + 0.24706704762853224, + 0.24806582753678452, + 0.25293051553524215, + 0.2620135314201613, + 0.27557300941202734, + 0.29376413432226506, + 0.31663285379730655, + 0.34411214758577985, + 0.3760209730639879, + 0.41206594129119584, + 0.4518457112460702, + 0.4948580232600183, + 0.5405092276571516, + 0.5881261028424384, + 0.6369697000807809, + 0.6862509013972296, + 0.7351473336692997, + 0.7828212471620253, + 0.8284379413521699, + 0.8711843055467141, + 0.9102870369226205, + 0.9450301043433319, + 0.9747710425255282, + 0.9989556874621679, + 1.0171309998309763, + 1.0289556675735139, + 1.0342082308482783, + 1.03279253088482, + 1.0247403474816874, + 1.0102111564651735, + 0.989489006740985, + 0.9629765849660108, + 0.9311866026787399, + 0.8947307043287785, + 0.8543061534910767, + 0.8106806072075754, + 0.7646753335882791, + 0.7171472644284257, + 0.6689703017712749, + 0.6210163144120137, + 0.5741362668892421, + 0.5291419193969533, + 0.4867885223825097, + 0.4477589047448474, + 0.41264932013040734, + 0.38195737269465846, + 0.35607229291960935, + 0.33526777690356196, + 0.3196975403752925, + 0.3093936730576292, + 0.30426781152508026, + 0.30411508101931767, + 0.30862069046009993, + 0.3173690017339362, + 0.3298548357964818, + 0.345496725608995, + 0.363651780714681, + 0.3836317914354518, + 0.4047201731126494, + 0.4261893331751074, + 0.4473180364970523, + 0.46740834765332956, + 0.4858017421778916, + 0.5018940024151565, + 0.5151485464080563, + 0.5251078796461045, + 0.5314029083466345, + 0.5337599080250405, + 0.532005001035495, + 0.5260660600255608, + 0.5159720192599351, + 0.5018496409038283, + 0.4839178469894427, + 0.46247978833467596, + 0.43791287763718756, + 0.41065706394245877, + 0.3812016684470354, + 0.3500711360958457, + 0.3178100828222925, + 0.284968033948251, + 0.25208425483912494, + 0.21967307028136754, + 0.18821005435705612, + 0.15811944822520388, + 0.12976312981797902, + 0.10343141788323555, + 0.07933594411879918, + 0.05760477259226138, + 0.03827988661245973, + 0.02131710121669487, + 0.006588396036036801, + -0.006113399890878888, + -0.017067701164131647, + -0.026617224746539107, + -0.03515725535062222, + -0.04312340545024727, + -0.050978197470748166, + -0.05919682691141869, + -0.0682524871660809, + -0.0786016490659459, + -0.09066969035458576, + -0.10483726235155648, + -0.1214277631583702, + -0.14069625934819677, + -0.16282016183880724, + -0.1878919174797517, + -0.21591392689305586, + -0.24679584256828074, + -0.2803543405453483, + -0.316315395745829, + -0.35431902672671745, + -0.3939264119498918, + -0.4346292181926705, + -0.47586092402485525, + -0.5170098688087049, + -0.5574337117755226, + -0.596474947569511, + -0.6334770952085872, + -0.6678011574593051, + -0.6988419376901763, + -0.7260438016364489, + -0.7489154822057689, + -0.7670435462465427, + -0.7801041726057267, + -0.7878729300963547, + -0.7902322912308289, + -0.78717667160777, + -0.7788148443505657, + -0.765369642528353, + -0.7471749284856417, + -0.7246698758412468, + -0.6983906759425527, + -0.6689598441456212, + -0.6370733608606408, + -0.6034859363765551, + -0.5689947357127197, + -0.5344219389587359, + -0.5005965427717957, + -0.468335829139793, + -0.4384269376624675, + -0.41160897717975864, + -0.38855610157260917, + -0.36986195322377263, + -0.35602584645567453, + -0.3474410230019842, + -0.3443852631866487, + -0.34701408114580656, + -0.3553566714736501, + -0.36931470958070967, + -0.3886640404028792, + -0.4130592215359391, + -0.44204081906089315, + -0.4750452889198917, + -0.5114172152922809, + -0.5504236214992487, + -0.5912700198934511, + -0.6331178261587932, + -0.6751027314502078, + -0.716353603617446, + -0.756011476913732, + -0.7932481883693129, + -0.8272842284308688, + -0.8574053932894979, + -0.8829778560466778, + -0.9034613127614728, + -0.9184199065215567, + -0.927530686823667, + -0.9305894214026371, + -0.9275136417411307, + -0.9183428702510629, + -0.9032360449063057, + -0.8824662242654819, + -0.856412720712765, + -0.8255508707815085, + -0.7904397071258418, + -0.7517078457188117, + -0.7100379429992929, + -0.6661501099772856, + -0.6207846929719494, + -0.5746848431720075, + -0.5285792992985057, + -0.483165799298187, + -0.4390955184432509, + -0.3969589029528011, + -0.35727323101542996, + -0.3204721878338705, + -0.28689768918169145, + -0.25679413027617476, + -0.230305174983654, + -0.20747313603517517, + -0.1882409316527956, + -0.17245653940125383, + -0.15987980579662797, + -0.15019141177240194, + -0.14300374097415036, + -0.13787335134161022, + -0.13431471168796366, + -0.1318148349510539, + -0.1298484192005917, + -0.12789309683189426, + -0.12544439190326545, + -0.12202999526804094, + -0.11722298674585761, + -0.11065366255502211, + -0.10201966383809238, + -0.09109414738926341, + -0.07773179147640126, + -0.06187248662181575, + -0.04354262191392504, + -0.02285394032390664, + -2.2222670470174216e-16 + ], + [ + 0, + 0.02441377310898743, + 0.05016318404030248, + 0.07684271272354797, + 0.10400851514698642, + 0.13119142448994417, + 0.15791071825474945, + 0.18368828313752392, + 0.20806279828561702, + 0.23060355622455758, + 0.2509235491430147, + 0.2686914661982258, + 0.28364227460331537, + 0.295586092808363, + 0.3044151072020162, + 0.31010833336149946, + 0.31273407772319667, + 0.3124500142571254, + 0.30950085183101195, + 0.3042136299053023, + 0.29699074144741366, + 0.2883008409450199, + 0.27866785064113875, + 0.2686583282064125, + 0.25886750273069825, + 0.2499043220397444, + 0.2423758819925236, + 0.23687162686996924, + 0.2339477187337239, + 0.2341119724623016, + 0.23780974205739674, + 0.24541112299851364, + 0.257199805395414, + 0.27336387416140806, + 0.29398880633557467, + 0.3190528631382403, + 0.3484250166338406, + 0.38186548941217663, + 0.41902892199287034, + 0.45947011827730405, + 0.5026522559064295, + 0.5479573874012836, + 0.5946990009775596, + 0.6421363583521126, + 0.6894902819831847, + 0.7359600271299017, + 0.7807408458120668, + 0.8230418309163173, + 0.862103619815209, + 0.8972155381834492, + 0.9277317762014734, + 0.9530862107716433, + 0.9728055182327806, + 0.9865202616087869, + 0.9939736837166607, + 0.9950279913472081, + 0.98966797491411, + 0.9780018710085859, + 0.9602594406668052, + 0.9367873022664122, + 0.9080416232088748, + 0.8745783373283568, + 0.8370411137672169, + 0.7961473564423475, + 0.752672559896709, + 0.7074333861524351, + 0.6612698572137915, + 0.615027078383255, + 0.5695369180588201, + 0.5256000699267026, + 0.4839689134544349, + 0.44533156857858924, + 0.4102975109683437, + 0.3793850759617355, + 0.35301113316127813, + 0.33148316087579316, + 0.3149938914045694, + 0.3036186360078423, + 0.29731533381844616, + 0.2959273035057136, + 0.2991886118047792, + 0.30673191065225486, + 0.3180985361425509, + 0.33275060926054034, + 0.35008483164602644, + 0.36944763062995795, + 0.3901512773862141, + 0.41149058098652064, + 0.43275974991799165, + 0.4532690114678516, + 0.47236058829343985, + 0.48942365022427486, + 0.5039078873910919, + 0.5153353874191258, + 0.5233105437230814, + 0.5275277727748785, + 0.5277768742988604, + 0.5239459282713856, + 0.5160216848593933, + 0.5040874664676345, + 0.48831866330289747, + 0.468975963755298, + 0.4463965169527911, + 0.4209832756757925, + 0.3931928121676092, + 0.3635219361513665, + 0.33249347266472895, + 0.3006415764631137, + 0.2684969692641672, + 0.23657248579636278, + 0.20534930450505173, + 0.17526421913810533, + 0.14669827879683917, + 0.11996708713821379, + 0.09531300719964984, + 0.07289946791947517, + 0.05280751312937458, + 0.035034675007604106, + 0.019496193197193996, + 0.0060285395549987564, + -0.005604851641113062, + -0.015705805713233056, + -0.024631792949091104, + -0.03278473642060516, + -0.04059854269852868, + -0.048525689534651334, + -0.05702322964824088, + -0.06653858561505978, + -0.07749551710645274, + -0.09028063819574883, + -0.1052308492189564, + -0.12262202507018923, + -0.14265927038963952, + -0.16546901264589634, + -0.19109315761072887, + -0.21948547933739068, + -0.25051035979677366, + -0.28394393322981426, + -0.3194776285510685, + -0.35672404134192554, + -0.39522500666195887, + -0.4344616866080526, + -0.4738664337151357, + -0.5128361442625917, + -0.5507467755267587, + -0.5869686690296646, + -0.6208822987056387, + -0.6518940492493023, + -0.67945162609425, + -0.7030587046298484, + -0.7222884422741725, + -0.7367955025184116, + -0.7463262744391767, + -0.7507270136147131, + -0.7499496798514156, + -0.7440553024235346, + -0.7332147632993951, + -0.7177069516056593, + -0.6979143068230631, + -0.6743158323288307, + -0.64747772331844, + -0.6180418123070013, + -0.5867120898599612, + -0.5542396065789345, + -0.5214061034640253, + -0.4890067505582106, + -0.4578323974249068, + -0.4286517529131487, + -0.40219391546052313, + -0.3791316687557537, + -0.3600659410646137, + -0.3455118002975757, + -0.33588632158683956, + -0.33149862058951846, + -0.33254229499182, + -0.3390904599821399, + -0.3510935021631118, + -0.368379611971291, + -0.390658088733159, + -0.41752534661099566, + -0.44847348548466126, + -0.4829012298381592, + -0.5201269824570317, + -0.5594036895630295, + -0.5999351711363842, + -0.6408935356445935, + -0.6814372730468361, + -0.720729604386969, + -0.7579566608975327, + -0.7923450704352072, + -0.8231785441256718, + -0.8498130809352924, + -0.8716904418913334, + -0.888349588000637, + -0.8994358255248986, + -0.9047074579375879, + -0.9040398042447032, + -0.8974265069175926, + -0.8849781179026334, + -0.866918016443408, + -0.8435757761809578, + -0.8153781596321784, + -0.7828379742096365, + -0.7465410740775313, + -0.70713183512605, + -0.6652974651563441, + -0.6217515371707576, + -0.5772171498513096, + -0.5324101255162973, + -0.4880226519496314, + -0.4447077606295413, + -0.40306501041850074, + -0.3636277133267778, + -0.3268519983616627, + -0.29310796175642334, + -0.2626730982454582, + -0.2357281498663924, + -0.21235544748784252, + -0.1925397574187311, + -0.1761715826221784, + -0.1630528068011106, + -0.15290451146824421, + -0.14537674250370583, + -0.1400599549664499, + -0.1364978242387695, + -0.13420107894588926, + -0.13266198730096365, + -0.1313691141530927, + -0.12982196139856644, + -0.12754510964486057, + -0.12410149393726722, + -0.11910447057097336, + -0.11222836488572438, + -0.10321723062803531, + -0.09189159892424073, + -0.07815304792430992, + -0.06198648140073544, + -0.04346006456362624, + -0.022722826559114843, + -2.2008475618636407e-16 + ], + [ + 0, + 0.023978109509972444, + 0.04907046907590925, + 0.07486675854741298, + 0.1009264224258172, + 0.1267916324903494, + 0.1520007890904019, + 0.17610219938279587, + 0.19866756548724976, + 0.21930491964541682, + 0.23767065690343503, + 0.2534803382646279, + 0.26651796812074785, + 0.27664348829699487, + 0.28379827627424536, + 0.28800848594800965, + 0.2893861243726597, + 0.28812781593675635, + 0.28451126486114076, + 0.2788894863074005, + 0.2716829342307837, + 0.2633697089453184, + 0.2544740777994313, + 0.2455535871051922, + 0.23718508138079616, + 0.2299499760801479, + 0.22441915151465952, + 0.22113784805295994, + 0.22061094557376426, + 0.22328900344166816, + 0.22955542111022, + 0.23971505420261793, + 0.25398458717636985, + 0.27248492225561755, + 0.2952357962177666, + 0.322152783022096, + 0.3530467824789138, + 0.3876260345974212, + 0.42550063740948757, + 0.4661894844708311, + 0.5091294784137752, + 0.5536868203494201, + 0.5991701229972165, + 0.644845049449718, + 0.689950140608787, + 0.7337134635327387, + 0.7753696909906236, + 0.8141772099921282, + 0.8494348542805079, + 0.8804978628333783, + 0.9067926831619193, + 0.9278302642446651, + 0.9432175186598237, + 0.9526666760584439, + 0.956002299524189, + 0.9531657913999807, + 0.9442172744938381, + 0.9293347967658584, + 0.9088108711341428, + 0.8830464253742631, + 0.8525422986831271, + 0.8178884798344428, + 0.7797513355484922, + 0.7388591254267909, + 0.6959861404012037, + 0.6519358341306597, + 0.6075233403588942, + 0.563557783353692, + 0.5208247928444881, + 0.4800696292630018, + 0.4419813097165864, + 0.40717810036977387, + 0.3761947073900816, + 0.3494714571569272, + 0.32734570805901547, + 0.31004568210554556, + 0.2976868460787553, + 0.2902709104946965, + 0.28768745172116944, + 0.2897180997657918, + 0.2960431730278624, + 0.30625058319763415, + 0.3198467798993267, + 0.33626945690952986, + 0.35490170099458723, + 0.3750872315793073, + 0.39614635536692827, + 0.4173922452418941, + 0.43814714763693724, + 0.45775812713011876, + 0.4756119712108683, + 0.4911489015351353, + 0.5038747699699917, + 0.5133714574873843, + 0.5193052404944348, + 0.5214329413072432, + 0.5196057358743916, + 0.513770551119375, + 0.5039690449146464, + 0.4903342222091319, + 0.47308479969820566, + 0.452517487186623, + 0.4289974050677478, + 0.402946902858564, + 0.37483308236761614, + 0.3451543598846281, + 0.31442642401593146, + 0.28316795891481283, + 0.2518865063654327, + 0.22106483440418165, + 0.19114816507241933, + 0.16253258989186328, + 0.13555496936385947, + 0.11048457304916981, + 0.08751667060442246, + 0.06676823271446745, + 0.048275845476730715, + 0.03199588387248482, + 0.01780693097165863, + 0.005514370958983455, + -0.00514297257517227, + -0.014484334930033087, + -0.022876875619272454, + -0.030724183828305197, + -0.03845373274999222, + -0.04650361926605357, + -0.055308944534726005, + -0.065288201021385, + -0.0768300321085695, + -0.09028072162178558, + -0.10593275262116576, + -0.12401474808156315, + -0.14468307128056232, + -0.1680153217047527, + -0.19400591412130494, + -0.222563875352431, + -0.2535129365686339, + -0.28659394000940686, + -0.3214695194310657, + -0.3577309547741966, + -0.3949070450240763, + -0.43247479043760645, + -0.4698716275704499, + -0.5065089190746412, + -0.5417863661115248, + -0.5751069853176121, + -0.6058922752481849, + -0.6335971895606197, + -0.6577245361095448, + -0.677838432593337, + -0.6935764701622606, + -0.7046602659862927, + -0.7109041234781935, + -0.7122215637641106, + -0.7086295429982128, + -0.700250225983593, + -0.6873102459193036, + -0.6701374414837455, + -0.6491551243746478, + -0.6248739913263458, + -0.5978818530084931, + -0.5688314066281169, + -0.5384263281556435, + -0.5074060026499277, + -0.47652924610204306, + -0.4465573986720497, + -0.418237186484759, + -0.39228375683183386, + -0.3693642894858999, + -0.3500825748973269, + -0.33496492858570903, + -0.3244477805606757, + -0.31886723983730125, + -0.31845088798134175, + -0.3233120032421934, + -0.3334463594742866, + -0.34873168310178965, + -0.3689297883271025, + -0.39369134715379334, + -0.42256318813744476, + -0.45499795761849937, + -0.49036592099430265, + -0.5279686307211819, + -0.567054143439379, + -0.6068334319612692, + -0.6464976097464358, + -0.6852355665867681, + -0.7222516049960309, + -0.7567826674595509, + -0.788114755226794, + -0.8155981594570992, + -0.8386611547564734, + -0.8568218427480532, + -0.8696978783733071, + -0.8770138630162204, + -0.8786062450154721, + -0.8744256282937196, + -0.8645364522138871, + -0.849114068842591, + -0.8284393060188187, + -0.8028906644734098, + -0.7729343532641794, + -0.7391124186218273, + -0.7020292657124417, + -0.6623369097429234, + -0.6207193213823116, + -0.5778762509691665, + -0.5345069259715434, + -0.4912940164462294, + -0.44888825383232034, + -0.40789406957497854, + -0.368856592305132, + -0.33225030631625785, + -0.2984696307988225, + -0.26782162981314467, + -0.2405210085510062, + -0.21668749342333019, + -0.19634563336989885, + -0.1794269990211795, + -0.1657746964677786, + -0.15515005490012235, + -0.1472412936974908, + -0.14167392600114342, + -0.13802261359956386, + -0.13582415312275867, + -0.1345912469385678, + -0.13382669441116815, + -0.1330376307413586, + -0.1317494416472514, + -0.12951899261234237, + -0.12594683103888685, + -0.1206880478825139, + -0.11346152147769742, + -0.10405730936433584, + -0.0923420028908111, + -0.0782619129496855, + -0.061844012035210005, + -0.04319461645292795, + -0.022495851472507742, + -2.1702366992562073e-16 + ], + [ + 0, + 0.02344515379981522, + 0.04778707359790165, + 0.072615480156428, + 0.0974976845866681, + 0.12199137070647963, + 0.14565769959541267, + 0.16807438471782368, + 0.1888483860942262, + 0.20762788113780337, + 0.2241131877132342, + 0.2380663412735106, + 0.24931906193113265, + 0.2577788881723112, + 0.2634333006025528, + 0.2663517104474159, + 0.26668524223288276, + 0.2646642967588653, + 0.2605939377281095, + 0.25484720175608566, + 0.2478564855402022, + 0.2401032143391888, + 0.2321060413259873, + 0.2244078666721142, + 0.21756199739140247, + 0.2121177931858884, + 0.20860615916323208, + 0.2075252529138559, + 0.20932677085138826, + 0.21440316696595635, + 0.22307613647913135, + 0.23558666780735266, + 0.252086929433788, + 0.2726342146471633, + 0.29718711769240574, + 0.3256040609003698, + 0.3576442351468006, + 0.39297095694194323, + 0.43115738602827147, + 0.4716944890336922, + 0.5140010789364836, + 0.5574357082315559, + 0.6013101470368521, + 0.6449041371088743, + 0.6874810798574994, + 0.7283042917919361, + 0.7666534450203029, + 0.8018408038763877, + 0.8332268716428156, + 0.8602350736321065, + 0.8823651242966817, + 0.899204756062002, + 0.9104395254974118, + 0.9158604573458574, + 0.9153693377426383, + 0.9089815234349334, + 0.8968261926222567, + 0.8791440237447515, + 0.856282349675019, + 0.8286878948324321, + 0.7968972602740656, + 0.7615253754224388, + 0.7232521834614418, + 0.6828078693906581, + 0.6409569742537036, + 0.598481765309329, + 0.5561652492584719, + 0.5147742236578474, + 0.47504276015153, + 0.43765650217915775, + 0.40323813964853494, + 0.3723343941912421, + 0.3454048117656287, + 0.32281261543980344, + 0.3048178212583968, + 0.29157276539706356, + 0.2831201326795065, + 0.2793935163973538, + 0.2802204787046501, + 0.285328021138342, + 0.2943503175004986, + 0.30683850782229166, + 0.322272303713312, + 0.34007311325427986, + 0.35961835873166925, + 0.38025663377312247, + 0.40132332845473323, + 0.42215634213052416, + 0.44211150426863666, + 0.46057733342475626, + 0.4769887833678241, + 0.4908396528001799, + 0.5016933703777202, + 0.5091919089368074, + 0.5130626309051926, + 0.5131229196024653, + 0.5092825071974606, + 0.5015434680813633, + 0.48999790488741385, + 0.47482341188352145, + 0.456276455552944, + 0.43468386349370935, + 0.4104326590398578, + 0.38395851909567796, + 0.3557331655933522, + 0.32625102593145316, + 0.29601551412400334, + 0.2655252918003828, + 0.23526086648350578, + 0.20567187380421267, + 0.1771653707776887, + 0.1500954394860203, + 0.12475436519904125, + 0.10136561103096012, + 0.0800787637453417, + 0.060966573496769406, + 0.044024155452463284, + 0.029170364764570744, + 0.016251299696855234, + 0.005045832284917963, + -0.00472698686839131, + -0.013398851853731499, + -0.02134169853568506, + -0.028956058462919262, + -0.03665858259418574, + -0.044869069769778475, + -0.053997348209572416, + -0.06443036273508039, + -0.07651981577597013, + -0.09057069664107553, + -0.10683101134545943, + -0.1254829950409053, + -0.14663605155308196, + -0.17032162062481998, + -0.19649012430280907, + -0.22501009071960704, + -0.2556694976518929, + -0.28817932108659833, + -0.3221792170404481, + -0.3572452094949552, + -0.3928992049300555, + -0.42862010589413047, + -0.463856253558793, + -0.49803889335930124, + -0.5305963295372914, + -0.5609684144158296, + -0.5886210070756001, + -0.6130600340739324, + -0.63384479203651, + -0.6506001482061308, + -0.6630273199786296, + -0.6709129475003184, + -0.6741362137482372, + -0.6726738131848402, + -0.6666026219336008, + -0.6560999781911645, + -0.6414415399046326, + -0.6229967461628427, + -0.6012219678107562, + -0.5766514900346192, + -0.549886523662773, + -0.5215824913401832, + -0.4924348783319596, + -0.46316397440108353, + -0.4344988620660489, + -0.4071610268434848, + -0.38184797629758604, + -0.35921725655370607, + -0.33987124731912793, + -0.3243430995542994, + -0.3130841541450705, + -0.30645314585282873, + -0.3047074552809645, + -0.30799662359327473, + -0.31635829141321903, + -0.32971666601400595, + -0.34788356096979706, + -0.370561991334718, + -0.397352246635405, + -0.42776030498405615, + -0.4612083958786591, + -0.4970474681128144, + -0.5345712739148144, + -0.5730317420769713, + -0.6116552823546042, + -0.6496596415493845, + -0.6862709189728868, + -0.7207403457181616, + -0.7523604384234082, + -0.7804801538326457, + -0.8045186950546893, + -0.8239776533855278, + -0.8384512100772962, + -0.8476341695124288, + -0.8513276477173967, + -0.8494422967388928, + -0.8419990047191671, + -0.8291270720944727, + -0.8110599247198309, + -0.788128483420662, + -0.7607523650569518, + -0.7294291413071117, + -0.6947219267972093, + -0.6572456068201455, + -0.6176520457811971, + -0.5766146399360342, + -0.5348125914297555, + -0.4929152847979986, + -0.45156714188147734, + -0.41137331669195304, + -0.3728865685365103, + -0.33659562026122847, + -0.3029152696196661, + -0.27217847649286114, + -0.24463059812902682, + -0.22042589000497106, + -0.19962633270569458, + -0.1822027868045507, + -0.16803841956145035, + -0.15693429078903984, + -0.14861693186917976, + -0.14274770295686567, + -0.13893367009516228, + -0.13673970734892493, + -0.13570150004379636, + -0.13533910447534928, + -0.13517070752746602, + -0.13472622678437493, + -0.13356039798469782, + -0.1312650118674459, + -0.1274799861943163, + -0.1219029903817114, + -0.11429737892364678, + -0.1044982346399447, + -0.09241637259760974, + -0.07804020905827974, + -0.06143545564098716, + -0.04274265563948629, + -0.022172635657690988, + -2.1305333457443458e-16 + ], + [ + 0, + 0.022818539661675283, + 0.046322884351881026, + 0.0701073798304597, + 0.0937514375932784, + 0.11683200521684506, + 0.1389361555201384, + 0.15967345623392193, + 0.17868778697258347, + 0.1956682839715077, + 0.2103591149453774, + 0.22256781599343253, + 0.2321719589865859, + 0.23912396040299244, + 0.2434538900652387, + 0.2452701894798874, + 0.2447582631986682, + 0.24217696145632422, + 0.2378530269090446, + 0.2321736312202099, + 0.2255771771765727, + 0.2185425877003579, + 0.21157734338791387, + 0.20520456402390425, + 0.1999494560215735, + 0.19632546623574462, + 0.19482049259626835, + 0.19588350323731366, + 0.19991190819252494, + 0.2072400114484521, + 0.2181288465762965, + 0.23275766688013116, + 0.25121732178695205, + 0.2735057060131668, + 0.2995254179773026, + 0.3290837102173596, + 0.3618947585343399, + 0.3975842196026968, + 0.43569599027203765, + 0.4757010271321954, + 0.5170080334825775, + 0.5589757739165055, + 0.6009267354734797, + 0.6421618197607567, + 0.6819757234702742, + 0.7196726460030765, + 0.7545819529431681, + 0.7860734231643536, + 0.8135717154533965, + 0.8365697075143851, + 0.8546403856873509, + 0.8674469970643858, + 0.8747512161199127, + 0.8764191245141512, + 0.8724248542551323, + 0.8628517996659423, + 0.8478913612585758, + 0.8278392432621828, + 0.8030893847645553, + 0.7741256607838848, + 0.7415115427203938, + 0.7058779562496292, + 0.6679096176268615, + 0.6283301655299938, + 0.5878864340968616, + 0.5473322330185482, + 0.5074120119439879, + 0.4688447887591146, + 0.43230871447487873, + 0.3984266316654327, + 0.3677529590322638, + 0.3407622023339394, + 0.31783935241050515, + 0.29927238531790273, + 0.28524702879340347, + 0.275843904643663, + 0.2710380995208328, + 0.27070115832692043, + 0.27460543658510694, + 0.28243069195168985, + 0.2937727419816761, + 0.30815396659419003, + 0.3250353905899705, + 0.34383004509234083, + 0.36391727779051297, + 0.3846576610492073, + 0.405408134797887, + 0.42553701789815146, + 0.4444385274601178, + 0.46154646016667356, + 0.4763467126800129, + 0.4883883490519028, + 0.49729296094939157, + 0.5027621104803184, + 0.5045826943486219, + 0.5026301207580379, + 0.4968692455940971, + 0.4873530705711443, + 0.4742192618332651, + 0.4576846015573687, + 0.43803753608161716, + 0.4156290307109754, + 0.3908619824831957, + 0.3641794768017399, + 0.33605220111037637, + 0.30696534803630293, + 0.2774053512050879, + 0.24784679898489853, + 0.21873986472163784, + 0.19049857677201515, + 0.163490228233983, + 0.1380261953226519, + 0.11435439564266454, + 0.09265357413102424, + 0.0730295562976035, + 0.05551355679989669, + 0.040062577665439976, + 0.026561875983181472, + 0.014829427005863437, + 0.004622256704472987, + -0.0043555307922825744, + -0.01244324952456024, + -0.02001290888846711, + -0.027457560606418664, + -0.03517902880938672, + -0.04357535292256136, + -0.05302828094807533, + -0.06389114997505897, + -0.07647748133196969, + -0.09105059996043079, + -0.107814561777587, + -0.12690663965033486, + -0.14839157896002106, + -0.17225778858510785, + -0.19841558360632636, + -0.22669754338985088, + -0.2568609942550599, + -0.28859257105768826, + -0.32151475810265845, + -0.35519425820762424, + -0.3891519907763387, + -0.4228744766296403, + -0.45582633018092605, + -0.4874635492853062, + -0.5172472705189256, + -0.544657643348246, + -0.5692074710136965, + -0.5904552691473776, + -0.6080174051199967, + -0.6215790015978078, + -0.6309033163032501, + -0.63583934582924, + -0.6363274436881684, + -0.6324027905510405, + -0.6241966066804788, + -0.6119350516053779, + -0.5959358127691813, + -0.5766024418089385, + -0.5544165528798517, + -0.5299280506476295, + -0.503743604905701, + -0.47651363300710553, + -0.44891808932532484, + -0.4216513918195879, + -0.395406838698442, + -0.370860882564728, + -0.34865763490942114, + -0.3293939702432222, + -0.31360558657838206, + -0.3017543576859837, + -0.2942172830568052, + -0.29127730449101924, + -0.29311621462254644, + -0.2998098335007289, + -0.3113255757957757, + -0.32752247456442984, + -0.3481536691844121, + -0.3728713064591176, + -0.401233746434479, + -0.43271490955732644, + -0.46671555077681687, + -0.5025762002908147, + -0.5395914709858226, + -0.5770254001772314, + -0.6141274688156115, + -0.6501489254774365, + -0.6843590355877066, + -0.7160608785902922, + -0.7446063271284799, + -0.7694098624402408, + -0.7899609086114739, + -0.8058344043651656, + -0.8166993738083127, + -0.8223253059613675, + -0.822586205769418, + -0.8174622353440992, + -0.8070389220383186, + -0.7915039681975417, + -0.7711417546394856, + -0.7463256846940091, + -0.717508566654004, + -0.6852112785080321, + -0.650009998733345, + -0.6125223197631545, + -0.5733925857196928, + -0.5332768125352937, + -0.4928275562869145, + -0.45267909428339737, + -0.4134332732296914, + -0.3756463599288586, + -0.33981720296472384, + -0.3063769793296584, + -0.2756807589008141, + -0.2480010730622388, + -0.22352362279322274, + -0.20234520747408222, + -0.1844738998522979, + -0.1698314364575371, + -0.15825773765203424, + -0.14951741882239356, + -0.14330810526573448, + -0.13927031930743264, + -0.13699867019385448, + -0.13605404626320922, + -0.1359764855672363, + -0.1362983860579693, + -0.13655771002139022, + -0.1363108397710132, + -0.13514475262725703, + -0.13268820260340836, + -0.12862162348688663, + -0.12268550243959096, + -0.11468701395862615, + -0.1045047499973391, + -0.09209143207469489, + -0.07747454402596093, + -0.060754878327768574, + -0.04210304328882039, + -0.02175403145599287, + -2.0819482253951928e-16 + ], + [ + 0, + 0.022102979650571553, + 0.044689770870207056, + 0.0673636198895594, + 0.08971988392536792, + 0.11135806918340987, + 0.13189379936133236, + 0.1509703925348185, + 0.16826973394659858, + 0.18352214989091906, + 0.196515013155302, + 0.20709984271418005, + 0.2151976987567931, + 0.22080271771037088, + 0.22398367959321588, + 0.22488355060065177, + 0.2237169960154174, + 0.2207659110259523, + 0.2163730685046627, + 0.21093403194078306, + 0.20488752729229412, + 0.19870450835947892, + 0.1928761853466354, + 0.18790131466859344, + 0.1842730690408242, + 0.1824658199159356, + 0.18292216904303868, + 0.18604056218478698, + 0.1921638058956722, + 0.20156878801994568, + 0.21445767468690824, + 0.23095082173533027, + 0.25108159753254605, + 0.2747932680667779, + 0.30193804511254624, + 0.3322783454296491, + 0.36549025465839596, + 0.4011691351591296, + 0.4388372638599777, + 0.47795333554319325, + 0.5179236201770877, + 0.5581145210555428, + 0.5978662446879907, + 0.6365072644902818, + 0.6733692390926719, + 0.7078020330492474, + 0.7391884832462808, + 0.7669585584981042, + 0.7906025726074775, + 0.809683132260686, + 0.8238455300285724, + 0.8328263287635326, + 0.8364599259533552, + 0.8346829340952431, + 0.8275362647371791, + 0.8151648582473963, + 0.797815057293709, + 0.7758296780823372, + 0.7496408882553544, + 0.7197610526406826, + 0.686771756513956, + 0.6513112594863778, + 0.6140606705174603, + 0.5757291649557504, + 0.5370385871940143, + 0.49870779693693335, + 0.4614371228705735, + 0.4258932845561285, + 0.39269513172288717, + 0.36240053009606193, + 0.33549469495915735, + 0.3123802385052434, + 0.2933691555409136, + 0.27867692528903826, + 0.2684188560396989, + 0.26260874547200613, + 0.26115987393227574, + 0.26388829216359405, + 0.2705183102996812, + 0.2806900426946129, + 0.2939688146297697, + 0.30985619329749126, + 0.3278023677622913, + 0.3472195717520987, + 0.3674962198704179, + 0.388011412694129, + 0.40814945957768345, + 0.4273140699599791, + 0.4449418744892926, + 0.4605149560579459, + 0.4735720973819532, + 0.4837184853910216, + 0.4906336525564336, + 0.49407748037164134, + 0.49389413937888343, + 0.49001389217185576, + 0.48245273939863004, + 0.4713099426038221, + 0.4567635104455632, + 0.43906378509275296, + 0.4185253122065656, + 0.395517219686479, + 0.3704523662872113, + 0.3437755504089767, + 0.31595109111936637, + 0.28745010725813613, + 0.25873782598363104, + 0.23026124922658922, + 0.2024374953195006, + 0.1756431138709232, + 0.15020464525787708, + 0.12639066260641194, + 0.10440549468117764, + 0.08438478371810926, + 0.06639298404138431, + 0.05042285653241576, + 0.036396961953956024, + 0.024171104096870125, + 0.013539623029380353, + 0.004242390672234509, + -0.004026683285067372, + -0.01160986635301552, + -0.018874803602316713, + -0.02620299439876247, + -0.0339778554971273, + -0.04257269152108452, + -0.052338896657375664, + -0.06359470587727291, + -0.07661480030118265, + -0.09162104978369463, + -0.10877464695495795, + -0.12816985153272253, + -0.14982952260685795, + -0.1737025708279364, + -0.19966341315516126, + -0.22751346127780092, + -0.2569846223181263, + -0.28774473827854974, + -0.31940484023014176, + -0.351528045732501, + -0.3836398846328537, + -0.4152398003194009, + -0.4458135416744086, + -0.47484613620588056, + -0.5018351177770412, + -0.5263036734529227, + -0.5478133734925177, + -0.5659761564729612, + -0.5804652577679624, + -0.59102479373788, + -0.5974777454474511, + -0.5997321237492823, + -0.5977851412316362, + -0.5917252647602638, + -0.5817320739623232, + -0.56807390473524, + -0.5511033113885787, + -0.5312504349941015, + -0.5090144175902085, + -0.48495305076807227, + -0.45967089164030706, + -0.4338061181476249, + -0.4080164281174983, + -0.3829643116323877, + -0.3593020434541678, + -0.3376567510408287, + -0.31861591384286686, + -0.30271364105393284, + -0.2904180580000706, + -0.2821201062805461, + -0.2781240302158873, + -0.2786397828957516, + -0.28377754009654194, + -0.2935444606449802, + -0.3078437786437733, + -0.3264762576400194, + -0.34914398065164975, + -0.3754563943391454, + -0.4049384718739531, + -0.43704080852095634, + -0.47115141785183023, + -0.5066089559629057, + -0.5427170670732873, + -0.5787595172543264, + -0.6140157644378902, + -0.6477766027192131, + -0.6793595175543232, + -0.7081233957824656, + -0.7334822502968821, + -0.7549176432494425, + -0.7719895233129074, + -0.7843452309610094, + -0.7917264700169572, + -0.7939740927789004, + -0.7910305986541416, + -0.7829403011341669, + -0.769847173777347, + -0.7519904412718637, + -0.72969803527681, + -0.7033780852791007, + -0.673508660930267, + -0.6406260231208868, + -0.6053116754273057, + -0.5681785347012486, + -0.5298565588231975, + -0.49097818055607784, + -0.45216389877413504, + -0.414008372071955, + -0.3770673450623796, + -0.34184571493883315, + -0.3087870156944828, + -0.27826456052785925, + -0.25057444035554505, + -0.22593052907127592, + -0.20446159542419504, + -0.18621056840816538, + -0.17113594918170372, + -0.15911530911633942, + -0.149950761927815, + -0.1433762492600715, + -0.13906643476789407, + -0.13664696277323587, + -0.1357058049094778, + -0.13580539261463373, + -0.13649521550711638, + -0.13732455600014237, + -0.13785502920251486, + -0.13767260422400043, + -0.13639879825247392, + -0.13370075779262036, + -0.12929997165315532, + -0.12297939686312194, + -0.11458882075029259, + -0.10404832885259345, + -0.09134979797464782, + -0.07655638528449772, + -0.059800036561435344, + -0.04127708823094593, + -0.021242087351881947, + -2.0247989737671382e-16 + ], + [ + 0, + 0.0213041835959905, + 0.042901394594110444, + 0.06440769989288048, + 0.08543782111677378, + 0.10561663258551404, + 0.12459041823579503, + 0.14203758406386865, + 0.1576785363257835, + 0.1712844568594527, + 0.1826847349500271, + 0.19177284944315967, + 0.19851053445819936, + 0.20293010606781403, + 0.20513487458371218, + 0.20529761642843478, + 0.2036571297355664, + 0.20051294753772017, + 0.19621833041525066, + 0.1911717055715916, + 0.18580676032755952, + 0.1805814339411292, + 0.17596608154166177, + 0.17243110704843514, + 0.1704343776215779, + 0.17040874005231185, + 0.17274995931668038, + 0.17780539127129638, + 0.18586368534103628, + 0.19714578941431157, + 0.21179749858691338, + 0.22988375262015198, + 0.25138484489896, + 0.2761946593208246, + 0.30412100205548803, + 0.33488804370770087, + 0.36814083536049574, + 0.4034518105631976, + 0.4403291358323041, + 0.47822672588543785, + 0.5165556977845415, + 0.5546970014760481, + 0.5920149338045224, + 0.6278712197104617, + 0.6616393285985839, + 0.6927186861884768, + 0.7205484427457436, + 0.7446204674463612, + 0.7644912555538155, + 0.7797924596926832, + 0.7902397881991022, + 0.795640051558256, + 0.7958961813850334, + 0.7910100942156806, + 0.7810833233962813, + 0.7663153953390603, + 0.7469999800810249, + 0.7235188991147479, + 0.6963341245758873, + 0.6659779518202197, + 0.6330415710351596, + 0.5981623017434506, + 0.5620097859378483, + 0.525271460358359, + 0.48863764548459343, + 0.4527865977507387, + 0.4183698720840704, + 0.3859983341084705, + 0.35622914543553474, + 0.32955402178006793, + 0.3063890327672945, + 0.28706617500387116, + 0.2718269071792017, + 0.26081778869669336, + 0.2540883127641043, + 0.25159097223525784, + 0.25318354307857793, + 0.25863351745510504, + 0.26762456730913176, + 0.2797648713512488, + 0.2945970945123524, + 0.3116097704282628, + 0.3302498052066885, + 0.349935795405578, + 0.3700718354152316, + 0.3900614796989804, + 0.4093215238237122, + 0.427295274914319, + 0.44346499690430324, + 0.45736323833969633, + 0.46858277994825165, + 0.47678497496033245, + 0.48170629635713463, + 0.4831629507889181, + 0.4810534677078508, + 0.4753592230762066, + 0.46614290857340185, + 0.4535450082511547, + 0.43777839380793054, + 0.41912119585229374, + 0.397908150558474, + 0.37452065795117306, + 0.349375818787115, + 0.3229147408789143, + 0.2955904221560159, + 0.2678555263879355, + 0.24015036811331647, + 0.21289141593153887, + 0.18646060812955154, + 0.16119575203761455, + 0.137382249121103, + 0.11524635237839645, + 0.09495012203481137, + 0.07658820083521893, + 0.060186482580657424, + 0.04570269813768791, + 0.03302889322696073, + 0.021995723134562314, + 0.012378442331095875, + 0.003904423022601368, + -0.003738002993394215, + -0.01088961913101494, + -0.01790958359818043, + -0.025164163137966333, + -0.033015244135552665, + -0.04180893033726166, + -0.0518645345266417, + -0.06346426170380191, + -0.07684386386173106, + -0.09218452178357164, + -0.10960617801636052, + -0.12916250809479016, + -0.15083767512541915, + -0.1745449670535903, + -0.20012736747563223, + -0.22736006094989714, + -0.25595482366198136, + -0.28556620127879967, + -0.31579932912467074, + -0.3462192066152982, + -0.37636119929194317, + -0.4057425087938046, + -0.4338743245389564, + -0.46027435144084755, + -0.48447939617882996, + -0.5060576906879921, + -0.5246206357578515, + -0.5398336598516952, + -0.5514259081991643, + -0.5591985044012261, + -0.5630311605644884, + -0.5628869515305724, + -0.5588151131200286, + -0.5509517723813754, + -0.5395185684415916, + -0.5248191744464918, + -0.5072337829745879, + -0.48721166792034665, + -0.4652619839148193, + -0.4419430086863946, + -0.4178500732547818, + -0.3936024585074796, + -0.36982956368244907, + -0.3471566718889655, + -0.3261906495372492, + -0.30750592010547695, + -0.2916310479407125, + -0.279036254862771, + -0.27012217151320295, + -0.2652100971570365, + -0.26453400667661986, + -0.26823450263578186, + -0.2763548645251569, + -0.28883929773431444, + -0.3055334326362562, + -0.32618707068279634, + -0.3504591208969777, + -0.3779246179145043, + -0.40808366304328314, + -0.44037208388998955, + -0.47417356706507585, + -0.5088329833236694, + -0.5436705960864656, + -0.5779968233041599, + -0.6111272095917356, + -0.6423972607807604, + -0.6711767966325013, + -0.6968834893309073, + -0.7189952752383597, + -0.7370613547591762, + -0.7507115293435033, + -0.7596636648382631, + -0.7637291155668502, + -0.7628159925885497, + -0.7569302113510392, + -0.746174307139082, + -0.7307440600403775, + -0.7109230232949308, + -0.6870750985972114, + -0.6596353479726642, + -0.6290992731353304, + -0.5960108287538771, + -0.5609494649551725, + -0.5245165159881432, + -0.4873212657473698, + -0.44996702650088294, + -0.4130375645660316, + -0.3770841959205425, + -0.3426138561139607, + -0.3100784228416624, + -0.2798655368252179, + -0.2522911280393302, + -0.22759381081070157, + -0.20593126398152137, + -0.18737866236508594, + -0.17192917437163946, + -0.15949648922825643, + -0.1499192869367536, + -0.14296751625537388, + -0.13835030173739524, + -0.13572526130452264, + -0.13470898194720993, + -0.13488837375668342, + -0.13583260226925756, + -0.13710528652719942, + -0.13827664562445885, + -0.1389352799034017, + -0.13869928429255052, + -0.13722641021910884, + -0.13422301859730315, + -0.12945159891003766, + -0.12273666753205316, + -0.11396890121301, + -0.10310740795873057, + -0.0901800862405985, + -0.07528207329074268, + -0.05857233294088277, + -0.040268481776616655, + -0.02063999808350701, + -1.9595039588424004e-16 + ], + [ + 0, + 0.02042876571805524, + 0.040972998305694716, + 0.06126510913869602, + 0.08094214437650016, + 0.09965664887561712, + 0.11708713569990163, + 0.13294787857057014, + 0.14699776177301924, + 0.15904794605193587, + 0.16896813927782325, + 0.17669129639635017, + 0.18221661347774334, + 0.1856107245515861, + 0.1870070562369228, + 0.18660334278950247, + 0.18465735188443652, + 0.18148091802692848, + 0.17743242475585266, + 0.1729079176507067, + 0.16833106653188867, + 0.16414222622773394, + 0.1607868700733458, + 0.15870368826376977, + 0.15831265383527543, + 0.16000336210318558, + 0.16412394474211936, + 0.17097084744619273, + 0.1807797405344433, + 0.19371780543580047, + 0.20987760733575767, + 0.22927272618755795, + 0.25183527571521985, + 0.2774153940092246, + 0.3057827409715582, + 0.3366299883986078, + 0.3695782391224349, + 0.40418426358772264, + 0.4399493967176795, + 0.47632989605209425, + 0.5127485249712623, + 0.5486070932833399, + 0.5832996623451014, + 0.616226103845351, + 0.6468056908710669, + 0.6744903971790291, + 0.6987775857977776, + 0.7192217810798582, + 0.7354452388135632, + 0.7471470565030828, + 0.7541105997792397, + 0.7562090602955311, + 0.7534090044447571, + 0.7457718197345499, + 0.7334530155325601, + 0.7166993859212112, + 0.6958440933455713, + 0.6712997813547048, + 0.6435498718170493, + 0.6131382453853519, + 0.5806575426377343, + 0.5467363562850588, + 0.5120256113068608, + 0.47718444921292597, + 0.44286594435425203, + 0.40970298404086375, + 0.37829464007325825, + 0.34919334726308204, + 0.3228931849037116, + 0.29981953043522697, + 0.28032032138647733, + 0.2646591228831075, + 0.25301015453495646, + 0.24545538342370052, + 0.24198374035399026, + 0.24249246571982364, + 0.2467905405130005, + 0.2546041084014669, + 0.26558374763961573, + 0.27931340798616716, + 0.29532078885433044, + 0.3130889015443231, + 0.3320685314119015, + 0.35169129585211967, + 0.3713829814947814, + 0.39057683930133197, + 0.40872651941456944, + 0.4253183385404671, + 0.4398825910425213, + 0.4520036403260396, + 0.46132855883392726, + 0.46757412226239364, + 0.4705320054949601, + 0.47007207319473676, + 0.4661437058510663, + 0.45877515115302936, + 0.44807093963706984, + 0.4342074514101279, + 0.41742676619726565, + 0.39802897088042793, + 0.376363136049722, + 0.35281720496329866, + 0.3278070639281268, + 0.30176508185092693, + 0.27512841811853067, + 0.24832740178627713, + 0.2217742812081534, + 0.19585263185164115, + 0.17090769141073117, + 0.14723786594998464, + 0.12508761933723522, + 0.10464192146037136, + 0.08602238961421046, + 0.06928521303395808, + 0.05442090397105518, + 0.04135587113728593, + 0.029955763989595617, + 0.020030490390040644, + 0.011340766815110256, + 0.003606020602889998, + -0.0034865712814070478, + -0.010272151925995543, + -0.017097630701032072, + -0.02431079038123757, + -0.03224934844815607, + -0.04123026726435379, + -0.05153960164812444, + -0.06342315879588743, + -0.07707822484029285, + -0.09264658511342112, + -0.11020903209032883, + -0.12978151685098352, + -0.15131305767850906, + -0.17468547417253236, + -0.1997149681392992, + -0.22615552471482056, + -0.2537040598920975, + -0.28200719505558747, + -0.31066949643135855, + -0.33926297862519333, + -0.36733763763118693, + -0.3944327507156412, + -0.42008865913662063, + -0.44385873530741693, + -0.4653212291347781, + -0.48409068905623887, + -0.499828661769943, + -0.5122533906076416, + -0.5211482555725792, + -0.5263687276955495, + -0.5278476458366269, + -0.5255986645117398, + -0.5197177657612011, + -0.5103827754089074, + -0.4978508731190554, + -0.48245413522928676, + -0.46459319819679573, + -0.4447291774240531, + -0.4233740200649392, + -0.4010795100564461, + -0.37842517808251247, + -0.35600539758872285, + -0.3344159696102184, + -0.314240513497043, + -0.2960369872477839, + -0.2803246599089596, + -0.2675718493738021, + -0.25818472212300025, + -0.25249742738403425, + -0.2507638074171721, + -0.25315088890261833, + -0.25973431859034735, + -0.270495860493291, + -0.28532302306849566, + -0.3040108342261306, + -0.3262657308641573, + -0.3517114791925403, + -0.3798969936145537, + -0.4103058765567654, + -0.4423674604908181, + -0.47546909747330024, + -0.5089694117212975, + -0.5422122077680032, + -0.5745407111647106, + -0.6053118108919682, + -0.6339099728021781, + -0.6597605015322674, + -0.6823418441972415, + -0.7011966524126777, + -0.715941349225775, + -0.7262739836232728, + -0.7319801965460114, + -0.7329371677633135, + -0.7291154614340287, + -0.7205787385198603, + -0.7074813551906843, + -0.6900639167274267, + -0.6686469049584138, + -0.6436225427797334, + -0.6154451007043926, + -0.5846198866575151, + -0.5516911905112849, + -0.517229478408904, + -0.48181814820302094, + -0.44604016595257406, + -0.41046490419420745, + -0.37563549563498794, + -0.34205700120043364, + -0.31018566940229303, + -0.280419535328867, + -0.2530905729358616, + -0.22845857460241878, + -0.2067068881140214, + -0.18794009443885548, + -0.1721836610463807, + -0.15938555628818554, + -0.14941976174589983, + -0.1420915726552205, + -0.13714453269720026, + -0.13426880968947175, + -0.13311078398900766, + -0.133283592584833, + -0.13437834961557454, + -0.13597574892867376, + -0.1376577466623591, + -0.13901902184720158, + -0.13967792066870566, + -0.13928660509252797, + -0.13754014863089178, + -0.13418435054873873, + -0.12902207403668514, + -0.12191795293846923, + -0.11280135451678343, + -0.10166753138165367, + -0.08857694293082168, + -0.07365277426431939, + -0.05707672732948348, + -0.039083203843624424, + -0.019952041196476516, + -1.8865749344801872e-16 + ], + [ + 0, + 0.019484141676220954, + 0.03892117858195265, + 0.05796295887353002, + 0.07627132951982421, + 0.09352828664126586, + 0.10944559740660104, + 0.12377363327649242, + 0.13630917451743377, + 0.1469019722355698, + 0.15545988603557967, + 0.16195245199272446, + 0.16641277601469467, + 0.1689376908455694, + 0.1696861598373477, + 0.16887595605149336, + 0.16677869010453403, + 0.16371330330187192, + 0.16003818291819513, + 0.1561420929557976, + 0.15243414541314243, + 0.1493330632126983, + 0.1472560057956215, + 0.14660724147307683, + 0.1477669565804658, + 0.15108049013989208, + 0.15684827410837943, + 0.1653167435674921, + 0.17667045876455, + 0.19102565228578705, + 0.2084253805222733, + 0.22883641981337738, + 0.2521480051710339, + 0.27817246434666787, + 0.3066477533152887, + 0.33724185217320996, + 0.3695589341443592, + 0.40314717601611916, + 0.43750803698464535, + 0.4721067956145475, + 0.5063841023432106, + 0.5397682784986019, + 0.5716880728219925, + 0.6015855735054405, + 0.6289289681084238, + 0.6532248455685049, + 0.6740297438426264, + 0.6909606632997632, + 0.7037042894440434, + 0.7120246983221965, + 0.7157693533460163, + 0.7148732423864321, + 0.7093610478997826, + 0.6993472894639435, + 0.6850344262991009, + 0.6667089559521657, + 0.6447355931508552, + 0.6195496587170676, + 0.5916478512497583, + 0.5615776129997849, + 0.5299253350177396, + 0.49730367443882645, + 0.46433827799767957, + 0.43165422002281734, + 0.39986246989990537, + 0.36954670315174676, + 0.34125076188299547, + 0.3154670545859557, + 0.2926261625876548, + 0.2730878912946394, + 0.25713396957481977, + 0.2449625609576411, + 0.23668470680581366, + 0.23232277527825906, + 0.23181094189721496, + 0.23499767902466076, + 0.24165018372738453, + 0.2514606275308426, + 0.26405406854734964, + 0.278997827457458, + 0.2958120947681273, + 0.31398150848759493, + 0.3329674195217112, + 0.3522205472271059, + 0.37119371999755585, + 0.3893543956756455, + 0.4061966639517322, + 0.42125244753246066, + 0.43410164034900334, + 0.44438094887977225, + 0.4517912360774849, + 0.4561032055730778, + 0.45716130581987047, + 0.4548857785893245, + 0.4492728226175675, + 0.4403928900742282, + 0.4283871797175132, + 0.4134624349666401, + 0.39588419656770385, + 0.3759686970297295, + 0.35407361664260056, + 0.3305879478593993, + 0.3059212354771213, + 0.28049247388532556, + 0.2547189493469349, + 0.22900531468290378, + 0.20373317588923812, + 0.1792514553383646, + 0.15586777470056765, + 0.13384107312386223, + 0.1133756432427621, + 0.09461673009183263, + 0.07764779693489261, + 0.06248951842993229, + 0.04910051653976819, + 0.03737980931026134, + 0.027170898218272788, + 0.01826737736422781, + 0.010419908421906243, + 0.003344369955595469, + -0.0032690406360508417, + -0.009745998922439507, + -0.016417803654223382, + -0.023610961539809683, + -0.031636887131441825, + -0.04078199555413534, + -0.051298455860455006, + -0.0633958559557382, + -0.07723400673479786, + -0.09291708388835887, + -0.1104892715100279, + -0.1299320330270633, + -0.15116309306377346, + -0.17403716968241034, + -0.1983484511480596, + -0.22383476607631614, + -0.2501833516916747, + -0.27703808306933164, + -0.304007987716827, + -0.3306768356555667, + -0.3566135661601826, + -0.3813832892513287, + -0.40455858351273016, + -0.4257308022513529, + -0.44452109770177217, + -0.46059087797308895, + -0.47365142364707447, + -0.483472410077118, + -0.4898891070528332, + -0.49280805896592256, + -0.49221108517286954, + -0.4881574810043272, + -0.4807843438182875, + -0.47030499455112895, + -0.457005512249332, + -0.441239445900196, + -0.42342081335943677, + -0.40401554016556807, + -0.38353153046270066, + -0.3625075971381163, + -0.3415015077423372, + -0.32107742605328765, + -0.3017930456793992, + -0.28418672144152396, + -0.26876490617979226, + -0.2559901950309494, + -0.24627026623148032, + -0.23994798742143778, + -0.2372929297275947, + -0.23849449923060964, + -0.2436568575551729, + -0.2527957611795433, + -0.2658374036625506, + -0.2826192974344744, + -0.30289318324972325, + -0.3263299070362912, + -0.3525261568783024, + -0.3810129083801781, + -0.4112653857697765, + -0.4427143098016829, + -0.4747581727070548, + -0.5067762558555914, + -0.538142088048409, + -0.56823703188072, + -0.5964636826554843, + -0.6222587689643999, + -0.645105256165876, + -0.6645433732830655, + -0.6801803098450323, + -0.6916983612631579, + -0.6988613386871663, + -0.7015191010062416, + -0.6996101117296802, + -0.6931619707965728, + -0.6822899197693527, + -0.6671933671804958, + -0.6481505278476916, + -0.6255113146056158, + -0.5996886620380499, + -0.5711484984359825, + -0.5403986134710362, + -0.5079766942081513, + -0.4744378204880124, + -0.44034172195611165, + -0.40624010284613504, + -0.37266433696864787, + -0.3401138243243693, + -0.3090452826487353, + -0.27986322246947015, + -0.25291182355193814, + -0.22846839469513805, + -0.20673855862840704, + -0.18785326025343235, + -0.171867650765809, + -0.1587618534147046, + -0.1484435699819656, + -0.14075244164156164, + -0.13546603482126307, + -0.13230728309373505, + -0.13095318094857644, + -0.13104449540277893, + -0.1321962375237609, + -0.13400861864415675, + -0.1360782057529326, + -0.1380089874895367, + -0.13942306640173252, + -0.13997070452605656, + -0.139339467606135, + -0.13726223790070033, + -0.1335238959134575, + -0.12796650672131715, + -0.12049288598301695, + -0.11106846317323002, + -0.09972140402885986, + -0.08654099948706866, + -0.07167437339113242, + -0.05532160480166212, + -0.03772940177535808, + -0.019183500924353322, + -1.80660862519241e-16 + ], + [ + 0, + 0.018478416881187357, + 0.03676364416749029, + 0.05452959883215817, + 0.07146490263258537, + 0.08728225448733398, + 0.10172716050626159, + 0.11458578515386517, + 0.12569170956375758, + 0.1349314110848846, + 0.14224831102063146, + 0.1476452743914685, + 0.1511854854802268, + 0.15299166489857094, + 0.15324363688317563, + 0.15217429840379498, + 0.15006408335720473, + 0.14723405457347266, + 0.14403779257156488, + 0.14085228204714761, + 0.13806802413695424, + 0.13607862388526773, + 0.13527011748418877, + 0.13601031237095917, + 0.1386384149086719, + 0.14345521508874665, + 0.1507140855853643, + 0.16061303384525802, + 0.17328802115640854, + 0.18880773240502435, + 0.20716994523883622, + 0.2282996084636449, + 0.25204869766573906, + 0.2781978723073344, + 0.3064599139673738, + 0.3364848811010644, + 0.367866872768959, + 0.40015225330938664, + 0.4328491529073502, + 0.4654380263760821, + 0.4973830250351755, + 0.5281439150354533, + 0.5571882603950467, + 0.5840035807647666, + 0.6081091927570286, + 0.6290674496006933, + 0.6464941067982701, + 0.6600675610637369, + 0.6695367356451496, + 0.674727416568798, + 0.6755468806243871, + 0.671986696166845, + 0.6641236210640815, + 0.6521185673207539, + 0.6362136479560799, + 0.6167273674871938, + 0.5940480617522649, + 0.5686257347164678, + 0.5409624783154914, + 0.5116016953672462, + 0.48111637429235093, + 0.4500966871262919, + 0.4191371985247509, + 0.38882398276242575, + 0.35972194787761924, + 0.3323626610680049, + 0.30723295732152034, + 0.2847645943675343, + 0.2653251918206185, + 0.2492106614796779, + 0.23663929989579158, + 0.22774767440971078, + 0.22258839086069923, + 0.2211297861328309, + 0.22325754273260107, + 0.22877817680404544, + 0.23742430649997862, + 0.24886156552257557, + 0.262696987945605, + 0.2784886560712408, + 0.29575637388574516, + 0.3139931053610218, + 0.33267689995834565, + 0.35128301762264125, + 0.3692959625379525, + 0.3862211390008633, + 0.4015958538368483, + 0.4149994075415227, + 0.4260620403165247, + 0.43447252877776105, + 0.43998426359371945, + 0.44241967679658517, + 0.4416729290349711, + 0.43771081056690797, + 0.43057185424105, + 0.42036370297792364, + 0.40725881724400326, + 0.3914886486460641, + 0.3733364430592241, + 0.35312886972225305, + 0.33122670067945137, + 0.30801478713898145, + 0.28389159521742396, + 0.2592585727718322, + 0.23450962137339262, + 0.2100209429128047, + 0.18614151898163292, + 0.16318446335031614, + 0.14141946402826636, + 0.12106650216001472, + 0.10229100113363401, + 0.08520052161882304, + 0.06984307777078175, + 0.05620710756073249, + 0.04422308719652813, + 0.03376673696620906, + 0.02466372465203194, + 0.01669573396347787, + 0.009607730202672514, + 0.003116224494186888, + -0.0030816878371335704, + -0.009298759121973805, + -0.01584774949603203, + -0.023031580449236196, + -0.031133747116144053, + -0.040409248067120485, + -0.05107627812592847, + -0.06330891018616146, + -0.07723096661869433, + -0.09291125029428546, + -0.11036027026003864, + -0.12952855858780965, + -0.15030663382883877, + -0.17252662389940193, + -0.19596551816409902, + -0.22034997606616613, + -0.24536257895276464, + -0.27064937379083615, + -0.2958285232316214, + -0.3204998468331195, + -0.34425501394998603, + -0.3666881304769007, + -0.3874064497628728, + -0.40604093291812143, + -0.4222563855607334, + -0.43576090677313317, + -0.4463144014616629, + -0.4537359290715785, + -0.45790968918079894, + -0.458789477208745, + -0.4564014805318731, + -0.4508453257852219, + -0.44229333105206575, + -0.43098796094137504, + -0.41723752712832624, + -0.4014102206803108, + -0.3839266043213708, + -0.36525073165876426, + -0.345880095334111, + -0.32633463619144515, + -0.3071450701157761, + -0.28884080756473574, + -0.27193775252074537, + -0.25692627232345705, + -0.2442596274655578, + -0.23434314098745335, + -0.2275243708007452, + -0.22408452548891009, + -0.22423133541822454, + -0.22809355703201123, + -0.2357172498157112, + -0.24706392353835718, + -0.262010609013957, + -0.2803518598626768, + -0.3018036467006527, + -0.3260090599713161, + -0.3525456943532253, + -0.3809345473962118, + -0.41065022873302576, + -0.44113224477471197, + -0.47179709799307995, + -0.5020509203536182, + -0.5313023476645665, + -0.5589753358651378, + -0.584521621728121, + -0.6074325390629414, + -0.6272499170633242, + -0.6435758095676027, + -0.656080832147411, + -0.6645109174227771, + -0.6686923369990947, + -0.6685348800047528, + -0.6640331223608453, + -0.6552657665579423, + -0.6423930777355235, + -0.6256524871354859, + -0.6053524774299641, + -0.5818649049500674, + -0.5556159504834067, + -0.5270759221785093, + -0.49674816042626746, + -0.4651573147524649, + -0.43283727627406715, + -0.4003190558326614, + -0.36811889738010733, + -0.33672690858839277, + -0.3065964761961357, + -0.2781347126647988, + -0.25169415383468774, + -0.2275658951255683, + -0.20597431722938697, + -0.1870735121115638, + -0.170945477476263, + -0.15760010372420724, + -0.14697693293681974, + -0.1389486256625522, + -0.13332602934386265, + -0.12986470314259532, + -0.12827271866022374, + -0.1282195254730851, + -0.12934564525833145, + -0.13127293918386373, + -0.13361518063302472, + -0.13598865952716063, + -0.13802254562092636, + -0.139368746127835, + -0.13971100766669362, + -0.13877303341700423, + -0.1363254129905967, + -0.1321911941828501, + -0.12624996164975918, + -0.11844032675198873, + -0.10876077431728878, + -0.09726885484471348, + -0.08407875362424705, + -0.06935731028653565, + -0.053318602366403345, + -0.03621724354815433, + -0.018340580423799678, + -1.7202773530830264e-16 + ], + [ + 0, + 0.017420267496541336, + 0.034518963312837735, + 0.050994222889445426, + 0.06656290301238955, + 0.08096912738631878, + 0.09399209659741589, + 0.10545295045125246, + 0.11522049505251507, + 0.123215636225996, + 0.12941439422405393, + 0.13384941128342084, + 0.13660990255917696, + 0.13784004129140542, + 0.13773580973061392, + 0.1365403873318312, + 0.1345381860106714, + 0.13204767786537136, + 0.12941319280031152, + 0.12699589112088022, + 0.12516413869782805, + 0.12428352913954102, + 0.12470680812261209, + 0.1267639593272173, + 0.13075270917678672, + 0.136929698827569, + 0.145502556792095, + 0.1566230845685503, + 0.17038174119245447, + 0.18680358137163902, + 0.2058457665753368, + 0.22739672999060387, + 0.25127703558253806, + 0.2772419296045019, + 0.3049855408389876, + 0.33414664465376, + 0.36431586665721893, + 0.39504416531251313, + 0.4258524002337053, + 0.4562417648592647, + 0.48570483948607046, + 0.5137370038286743, + 0.5398479377769365, + 0.5635729351381921, + 0.5844837579828535, + 0.602198768714707, + 0.6163920929439274, + 0.626801588277818, + 0.6332354217365803, + 0.6355770909866532, + 0.6337887611784794, + 0.6279128289929081, + 0.6180716675742776, + 0.6044655493353671, + 0.5873687871050162, + 0.5671241766929996, + 0.5441358646288711, + 0.5188608025982858, + 0.49179898402882405, + 0.46348268753782773, + 0.4344649758316889, + 0.4053077165548799, + 0.37656940308972825, + 0.34879305812274464, + 0.3224945008024016, + 0.29815124956528766, + 0.2761923174166111, + 0.256989134991308, + 0.24084780961852195, + 0.22800289652810204, + 0.2186128220573941, + 0.21275705912697584, + 0.21043511332213055, + 0.21156733466654565, + 0.21599752666092142, + 0.22349728144220643, + 0.23377192903854638, + 0.24646795064393215, + 0.26118167153725597, + 0.2774690195520807, + 0.29485611058090166, + 0.31285040405508846, + 0.33095215911724263, + 0.3486659165786957, + 0.3655117328505165, + 0.3810358998052685, + 0.39482089875820703, + 0.4064943570809054, + 0.4157368018584938, + 0.42228803581802665, + 0.42595199571443415, + 0.42659999158566725, + 0.42417226582485884, + 0.41867785285443926, + 0.41019276228492146, + 0.39885654975543705, + 0.38486737916154873, + 0.3684757167032654, + 0.3499768302286511, + 0.32970229589573896, + 0.3080107375311786, + 0.2852780416624634, + 0.26188730262080245, + 0.23821875708781617, + 0.21463996588668574, + 0.19149649275656258, + 0.16910331551925106, + 0.1477371848272263, + 0.1276301200964954, + 0.10896420193453621, + 0.09186778614758181, + 0.07641322712499415, + 0.06261615899927803, + 0.05043634246781484, + 0.03978004456287824, + 0.03050387899695526, + 0.022419996993290513, + 0.015302483689335, + 0.008894784152349487, + 0.0029179565549735317, + -0.0029204712078718166, + -0.00891728068472709, + -0.015364226393488568, + -0.022538835250968746, + -0.030695589953456687, + -0.04005773448539084, + -0.05080992393778058, + -0.06309191910050178, + -0.07699349940060814, + -0.09255073637054287, + -0.10974373473752815, + -0.12849591031425955, + -0.14867483409889506, + -0.17009463136454964, + -0.19251988406304343, + -0.21567094560941455, + -0.23923054004874358, + -0.2628514836774946, + -0.2861653372628627, + -0.3087917718413112, + -0.33034841132907944, + -0.3504609013557182, + -0.36877294620170287, + -0.38495605469101046, + -0.39871874140486724, + -0.4098149415256661, + -0.4180514157112272, + -0.4232939452057203, + -0.42547214633767855, + -0.42458276693094193, + -0.42069136414238284, + -0.4139323029302751, + -0.40450705576914525, + -0.3926808263357998, + -0.3787775616521643, + -0.36317345754510444, + -0.34628910026491494, + -0.32858042174345486, + -0.31052867640105203, + -0.29262967286233804, + -0.2753825137699775, + -0.2592781105851838, + -0.2447877474780455, + -0.23235196894200955, + -0.22237005958289027, + -0.2151903717663534, + -0.2111017377546982, + -0.2103261780747644, + -0.21301308772937422, + -0.21923504722031684, + -0.2289853670288916, + -0.24217743312969392, + -0.25864587829255736, + -0.27814956039858363, + -0.30037628581978115, + -0.32494917414145197, + -0.35143452116180324, + -0.3793509811457791, + -0.40817985761876774, + -0.4373762653357152, + -0.4663809051042828, + -0.4946321783898468, + -0.5215783604466074, + -0.5466895493028802, + -0.5694691133148266, + -0.5894643720594901, + -0.6062762637699984, + -0.6195677768721938, + -0.6290709528668279, + -0.6345923020889178, + -0.6360165119273916, + -0.6333083679741409, + -0.6265128512933914, + -0.6157534185173655, + -0.6012285147216474, + -0.5832064109602672, + -0.562018497926885, + -0.5380512034937515, + -0.5117367339861453, + -0.4835428662021599, + -0.45396203873468205, + -0.4235000065813041, + -0.3926643319775396, + -0.3619529866576807, + -0.33184333629930923, + -0.3027817668711252, + -0.2751741952702071, + -0.24937768344995784, + -0.2256933467930246, + -0.20436071449226684, + -0.18555366299597106, + -0.1693780040695066, + -0.15587076771041738, + -0.1450011780557313, + -0.13667327858456435, + -0.1307301223824086, + -0.1269594049977096, + -0.12510038242890437, + -0.1248518858907137, + -0.12588121897784016, + -0.1278337023053195, + -0.13034261615243659, + -0.13303928341581892, + -0.13556303347278928, + -0.13757079239097336, + -0.1387460561537038, + -0.1388070209023704, + -0.13751366717395938, + -0.13467362314150053, + -0.13014666422827403, + -0.12384774233722404, + -0.1157484764022227, + -0.10587707605093319, + -0.09431671085399213, + -0.08120237789224138, + -0.06671635918487219, + -0.05108239690605419, + -0.03455874735733923, + -0.017430303524248594, + -1.6283188284955877e-16 + ], + [ + 0, + 0.016318815635505118, + 0.03220630323939725, + 0.047386468707982944, + 0.061605345974497586, + 0.07463868268216912, + 0.08629881781948491, + 0.09644056419351377, + 0.10496593428861156, + 0.11182757790946903, + 0.11703083328550912, + 0.12063432917755877, + 0.12274911307114054, + 0.12353631881416964, + 0.12320342509145794, + 0.12199919296028741, + 0.12020740536551502, + 0.11813956322684739, + 0.1161267205372792, + 0.11451066421741123, + 0.11363466263545982, + 0.11383401925525617, + 0.1154266744823688, + 0.11870409925803226, + 0.12392271827138832, + 0.1312960889463466, + 0.14098804488512742, + 0.15310698963584912, + 0.1677014990503101, + 0.18475735878508714, + 0.2041961284530116, + 0.22587528641665594, + 0.24958997015781553, + 0.2750762875247623, + 0.30201613493649315, + 0.33004342078650983, + 0.35875155678197973, + 0.38770204766578603, + 0.4164339815095928, + 0.44447419924814874, + 0.47134790394534126, + 0.49658945790686576, + 0.5197531095061337, + 0.5404233916418879, + 0.5582249401151689, + 0.5728314927615276, + 0.5839738486103849, + 0.5914465902306407, + 0.5951134011881538, + 0.5949108434937969, + 0.590850496263478, + 0.5830193956623737, + 0.5715787566202518, + 0.5567609977992083, + 0.5388651318698473, + 0.5182506223166944, + 0.4953298447916153, + 0.470559324565681, + 0.44442995107499855, + 0.4174563951937375, + 0.3901659740947056, + 0.36308722190299636, + 0.3367384314843806, + 0.31161643346171947, + 0.28818587290074954, + 0.2668692321887596, + 0.24803783073698288, + 0.23200400870719415, + 0.21901467356760637, + 0.20924635561673552, + 0.2028018824743997, + 0.19970874380921927, + 0.19991917719715338, + 0.20331196497066456, + 0.20969589122307802, + 0.21881476876825603, + 0.23035390877867842, + 0.24394787193497833, + 0.25918931003695656, + 0.27563868187076374, + 0.29283460730248273, + 0.3103046095463391, + 0.3275759876640207, + 0.34418655976683205, + 0.3596950221356975, + 0.37369068041061465, + 0.3858023258440656, + 0.3957060519299283, + 0.40313183394459645, + 0.4078687253839955, + 0.409768560160226, + 0.40874808686252206, + 0.40478950045577, + 0.39793937651432587, + 0.3883060524836754, + 0.3760555385524651, + 0.36140607656191276, + 0.34462149809597903, + 0.32600356168097727, + 0.3058834731741551, + 0.28461281235077396, + 0.2625541019532075, + 0.2400712627309293, + 0.21752019911439632, + 0.19523975511995906, + 0.1735432690223447, + 0.1527109385510949, + 0.13298318630542105, + 0.11455518830746284, + 0.09757269781300394, + 0.08212926245743606, + 0.06826489639901477, + 0.0559662312556152, + 0.04516813127456885, + 0.03575672029829322, + 0.027573731648490023, + 0.020422057968849407, + 0.014072347200282425, + 0.008270463991984585, + 0.0027456136531555904, + -0.0027810912170163375, + -0.008587852592444146, + -0.01494343391404682, + -0.02209866784153472, + -0.030278453921030322, + -0.039674462570235096, + -0.05043874355914613, + -0.06267841383322621, + -0.07645157167638071, + -0.09176455254616846, + -0.10857060723302374, + -0.1267700461750998, + -0.14621185573149398, + -0.1666967539412678, + -0.18798161574324163, + -0.2097851617544652, + -0.2317947714150021, + -0.2536742514509652, + -0.2750723649493509, + -0.2956319055355585, + -0.31499908573527696, + -0.33283299898996466, + -0.34881491123808955, + -0.3626571405800695, + -0.37411129226665085, + -0.38297563088840664, + -0.3891013918497456, + -0.3923978594960216, + -0.39283606901084805, + -0.3904510226835111, + -0.38534234753968083, + -0.3776733597342767, + -0.36766854057295906, + -0.3556094685793328, + -0.3418292906752785, + -0.3267058523287555, + -0.31065364052770966, + -0.2941147238084362, + -0.27754889953767475, + -0.26142327956349865, + -0.2462015606773506, + -0.23233323567290434, + -0.22024300389771007, + -0.21032063697560563, + -0.20291154589240798, + -0.19830828009970322, + -0.19674316806682277, + -0.19838228230500599, + -0.2033208809345637, + -0.2115804431127927, + -0.2231073779291403, + -0.23777344662047226, + -0.25537789713040887, + -0.27565126912736176, + -0.298260787604068, + -0.322817225083737, + -0.3488830771852358, + -0.37598186471482076, + -0.40360834832757153, + -0.43123941980199626, + -0.4583454176351841, + -0.4844016043938016, + -0.508899539300435, + -0.5313580819924811, + -0.5513337722028168, + -0.56843034506266, + -0.58230716245215, + -0.5926863668167422, + -0.5993585944922892, + -0.602187120090415, + -0.6011103410453453, + -0.5961425510971008, + -0.5873729923156513, + -0.5749632162607966, + -0.5591428250247432, + -0.5402037012418123, + -0.5184928717414432, + -0.49440418150404586, + -0.46836898218180206, + -0.44084606200400567, + -0.4123110608601774, + -0.38324562534287154, + -0.354126563282935, + -0.3254152557237783, + -0.2975475764148658, + -0.2709245549699744, + -0.2459040001932337, + -0.2227932752263715, + -0.20184338674205166, + -0.18324451714053477, + -0.16712309243318227, + -0.15354044012203863, + -0.14249305186550176, + -0.13391442603741857, + -0.12767842642438476, + -0.12360405622444572, + -0.12146151212425005, + -0.12097935238640892, + -0.12185258632986724, + -0.1237514709803888, + -0.12633078452815852, + -0.12923933594009862, + -0.13212946587411345, + -0.13466629601700236, + -0.13653649204876117, + -0.13745631940250427, + -0.13717879047358214, + -0.13549972642857946, + -0.13226258564510837, + -0.12736194333821843, + -0.12074554227022727, + -0.11241487169990662, + -0.10242426995944715, + -0.09087858428546083, + -0.07792945880661248, + -0.06377035696368014, + -0.04863045721512243, + -0.03276758984094392, + -0.01646040726991964, + -1.5315252351621855e-16 + ], + [ + 0, + 0.015183500319209519, + 0.029845164969027543, + 0.043736016311245705, + 0.0566316920773553, + 0.06833925377575754, + 0.07870313535473134, + 0.08761006985267766, + 0.09499285818738294, + 0.10083287417991792, + 0.10516123261961176, + 0.10805858182740499, + 0.10965351788934884, + 0.11011965360605211, + 0.10967141032850727, + 0.10855863433479256, + 0.1070601703946584, + 0.10547655288045349, + 0.10412199850508375, + 0.10331590389167575, + 0.10337406521078617, + 0.10459984569177778, + 0.10727551969409883, + 0.11165401912264564, + 0.11795129934480958, + 0.12633952761432485, + 0.13694127766643677, + 0.1498248900884544, + 0.16500112987662907, + 0.18242124095620346, + 0.20197646314549217, + 0.22349904093421233, + 0.24676471641532177, + 0.2714966616777283, + 0.29737076985575567, + 0.32402218974103475, + 0.3510529572509028, + 0.37804054890753847, + 0.4045471585225539, + 0.4301294791092835, + 0.45434875814899783, + 0.4767808860776551, + 0.49702627545792954, + 0.5147192918341189, + 0.5295370066658078, + 0.5412070577856026, + 0.5495144231728506, + 0.5543069389938406, + 0.5554994222249643, + 0.5530762910395908, + 0.5470926117056261, + 0.5376735381449134, + 0.5250121486374549, + 0.5093657224784999, + 0.49105053677952576, + 0.4704352991317482, + 0.44793336465429084, + 0.42399391522582247, + 0.399092303731356, + 0.37371978633159203, + 0.34837288058574395, + 0.3235425963663951, + 0.2997037896722119, + 0.27730488659274205, + 0.25675821587745234, + 0.2384311740229111, + 0.2226384268722112, + 0.20963532690555534, + 0.19961269629646125, + 0.19269309312478536, + 0.18892864267381368, + 0.18830047835932173, + 0.19071979845560946, + 0.19603050633248806, + 0.20401336433433212, + 0.21439155563154458, + 0.2268375152253495, + 0.2409808615917069, + 0.25641723492665786, + 0.2727178272171699, + 0.28943937390403435, + 0.30613436709119607, + 0.3223612463145331, + 0.3376943248931695, + 0.35173321778180383, + 0.3641115504126653, + 0.37450474691026453, + 0.3826367198005565, + 0.3882853113191853, + 0.391286367948608, + 0.39153636409238396, + 0.38899352697193224, + 0.38367745200657805, + 0.3756672351890913, + 0.3650981853737842, + 0.3521572140531983, + 0.3370770322585761, + 0.3201293128912221, + 0.3016170013750532, + 0.2818659774168936, + 0.2612162853902177, + 0.24001316006954684, + 0.21859807792449132, + 0.19730006186559418, + 0.17642745929487694, + 0.15626039977109385, + 0.13704411990931495, + 0.1189833197805654, + 0.10223768765996882, + 0.0869186991917208, + 0.07308776368016084, + 0.06075575512541938, + 0.049883929688963644, + 0.04038619540826757, + 0.03213266508713806, + 0.02495439024993277, + 0.018649143697279557, + 0.01298809130288442, + 0.0077231709229745255, + 0.0025949782247753567, + -0.002659053667675183, + -0.00829640123905796, + -0.014561346648363897, + -0.021677241133281826, + -0.02983934453298231, + -0.03920843478279412, + -0.04990536131865804, + -0.06200669192743785, + -0.07554157430771327, + -0.09048990217890332, + -0.10678184198880313, + -0.1242987409751814, + -0.1428754014290252, + -0.16230367039469662, + -0.18233725962856, + -0.20269767829639965, + -0.223081131443971, + -0.24316621147552073, + -0.2626221883828007, + -0.2811176878354227, + -0.29832953490490594, + -0.31395153544979326, + -0.32770296719840175, + -0.3393365583459346, + -0.34864574290600686, + -0.3554709988538867, + -0.35970509686565527, + -0.36129711366467343, + -0.360255093992826, + -0.35664727829126835, + -0.3506018484881966, + -0.3423051809759677, + -0.3319986330070306, + -0.319973925424355, + -0.3065672199534205, + -0.292152022337543, + -0.27713107256839187, + -0.2619274095960328, + -0.24697481953777112, + -0.23270789299279573, + -0.2195519281840859, + -0.20791292199867775, + -0.19816789043255761, + -0.19065575346316918, + -0.18566900711320874, + -0.18344638771880414, + -0.18416671059431566, + -0.18794403794141026, + -0.19482429964055092, + -0.20478345624373084, + -0.21772725689082384, + -0.23349260688827359, + -0.2518505212431498, + -0.2725106024757033, + -0.2951269444664963, + -0.31930532982390186, + -0.34461155712239155, + -0.3705807071239101, + -0.39672713442094565, + -0.42255495338650945, + -0.447568775313909, + -0.47128444747292686, + -0.49323954465071224, + -0.5130033695904361, + -0.5301862304468508, + -0.5444477806598947, + -0.5555042290837171, + -0.5631342552511759, + -0.5671834956426307, + -0.567567501006073, + -0.5642731013090416, + -0.5573581529000692, + -0.5469496809920573, + -0.5332404687132811, + -0.5164841807756667, + -0.4969891443902553, + -0.47511094157767564, + -0.4512439947144758, + -0.4258123503568434, + -0.3992598845352633, + -0.37204016538574725, + -0.34460621587939916, + -0.3174004203787688, + -0.29084481377954385, + -0.2653319812282468, + -0.2412167801222451, + -0.2188090747142575, + -0.19836764770113405, + -0.18009542332913342, + -0.16413610354304575, + -0.15057228336867767, + -0.13942507492766557, + -0.13065523215437602, + -0.12416573134229542, + -0.1198057270054042, + -0.11737576907803816, + -0.11663413701782452, + -0.11730411966723356, + -0.11908204742195815, + -0.12164586588958085, + -0.12466402821643885, + -0.12780447689641292, + -0.13074348529345192, + -0.13317413430629935, + -0.13481421043115588, + -0.13541332764750985, + -0.134759096642634, + -0.13268219035760567, + -0.12906018402969047, + -0.12382008007800112, + -0.11693946251338608, + -0.10844626117847704, + -0.09841714213753396, + -0.08697457602739006, + -0.07428267025398914, + -0.06054188271386876, + -0.045982763434863516, + -0.03085889544186744, + -0.015439226634623894, + -1.4307317483385038e-16 + ], + [ + 0, + 0.014023945805484151, + 0.02745511679520318, + 0.04007219050013675, + 0.051680329213635884, + 0.06211710926974681, + 0.07125755917501508, + 0.07901816873883119, + 0.0853597579961447, + 0.09028912425630532, + 0.09385941729583622, + 0.09616922573954546, + 0.09736039120750903, + 0.09761459999556824, + 0.09714883406228608, + 0.09620979310286754, + 0.09506742673668186, + 0.09400773962443329, + 0.09332505205432899, + 0.09331391368558485, + 0.09426087831815627, + 0.09643635249956406, + 0.10008673034390064, + 0.1054270211199263, + 0.11263416509480437, + 0.12184121705946768, + 0.13313255629825627, + 0.14654025700262138, + 0.16204172487320276, + 0.17955867460183622, + 0.19895748984177647, + 0.22005097297973109, + 0.2426014573683166, + 0.26632522052439633, + 0.2908981039988892, + 0.3159622149970784, + 0.3411335571428184, + 0.36601041373197596, + 0.3901822870177603, + 0.413239182017358, + 0.4347810134129945, + 0.45442690960242726, + 0.47182418896227935, + 0.4866567899144978, + 0.4986529482873437, + 0.5075919324604904, + 0.5133096684756228, + 0.5157031131595936, + 0.5147332627231803, + 0.5104267165528342, + 0.5028757502226181, + 0.4922368872841202, + 0.4787279952777195, + 0.4626239667734198, + 0.4442510802295946, + 0.42398016722238313, + 0.40221874136964647, + 0.3794022693464867, + 0.3559847851496056, + 0.3324290647057181, + 0.30919658864309163, + 0.286737526291033, + 0.2654809736094572, + 0.2458256717869153, + 0.2281314218247562, + 0.21271139382538623, + 0.1998255083284655, + 0.1896750414116787, + 0.1823985760178732, + 0.17806938980158374, + 0.17669433549022748, + 0.1782142341648424, + 0.18250576584970105, + 0.18938480623649298, + 0.19861112412223286, + 0.2098943220425447, + 0.22290087341181752, + 0.23726208394433537, + 0.2525827838413853, + 0.2684505406985902, + 0.28444517170808503, + 0.30014832776688594, + 0.3151529216878135, + 0.3290721778377571, + 0.3415480910585605, + 0.3522590983845292, + 0.3609267874575788, + 0.36732149014098603, + 0.37126663802707865, + 0.37264178761737515, + 0.3713842561499722, + 0.36748934353238044, + 0.3610091507523865, + 0.35205003962008974, + 0.3407688118889493, + 0.3273677168941998, + 0.31208842506919693, + 0.2952051293629338, + 0.27701695708393576, + 0.25783989054065337, + 0.23799840565703165, + 0.21781704326100298, + 0.19761212785268026, + 0.1776838433724393, + 0.1583088649561787, + 0.1397337301656813, + 0.12216911311982737, + 0.10578514084421241, + 0.09070786361989608, + 0.07701696084845275, + 0.06474473172951607, + 0.05387638668565036, + 0.04435162181206707, + 0.03606742552623045, + 0.028882034880341908, + 0.022619929477854447, + 0.017077724347295504, + 0.012030800142050133, + 0.007240490231405412, + 0.002461630098423364, + -0.002549734681015663, + -0.008028689507791327, + -0.014194047078028148, + -0.021241398425439647, + -0.029336806312605497, + -0.03861131192223804, + -0.0491564047233373, + -0.06102058044190493, + -0.07420708388234315, + -0.08867290263644262, + -0.10432904525874634, + -0.12104210410139613, + -0.13863706953377578, + -0.15690132957069805, + -0.17558975782748332, + -0.1944307640018767, + -0.2131331554830942, + -0.23139363686180062, + -0.24890475662210373, + -0.2653630975901987, + -0.28047750012740835, + -0.29397710479331174, + -0.3056190043395794, + -0.3151953033641193, + -0.3225393975614459, + -0.32753130292316274, + -0.330101888025343, + -0.3302358891306248, + -0.327973617578872, + -0.3234113011079328, + -0.3167000345400016, + -0.3080433498516183, + -0.29769345015711757, + -0.2859461857169226, + -0.2731348818951034, + -0.2596231582388218, + -0.2457969038011027, + -0.23205559582374985, + -0.2188031663812843, + -0.20643863411241822, + -0.19534672540738499, + -0.18588871118200342, + -0.17839368159232166, + -0.17315047180331913, + -0.17040043743296687, + -0.1703312588901134, + -0.17307192997428134, + -0.17868905838094618, + -0.1871845748269844, + -0.19849491412749387, + -0.21249169652837172, + -0.22898390178176478, + -0.24772149271719332, + -0.26840041028243206, + -0.2906688290550859, + -0.31413453186515805, + -0.3383732351640273, + -0.3629376737881684, + -0.3873672353604267, + -0.4111979211997229, + -0.4339724026006733, + -0.45524993889553983, + -0.4746159268838179, + -0.49169085993364636, + -0.5061384891124838, + -0.5176729977497104, + -0.5260650244066399, + -0.5311463967547049, + -0.532813469668667, + -0.5310289941769114, + -0.5258224789621043, + -0.5172890420181829, + -0.5055867859687861, + -0.49093276556404913, + -0.47359764914597596, + -0.45389920659974525, + -0.43219478374519416, + -0.4088729466067828, + -0.38434449796712733, + -0.3590330826058253, + -0.33336560632186, + -0.3077626970351077, + -0.2826294338966959, + -0.2583465624826197, + -0.2352624010082039, + -0.2136856244207997, + -0.19387909066359887, + -0.17605484692322462, + -0.16037042394213644, + -0.14692649423670567, + -0.13576593611645743, + -0.1268743105931722, + -0.12018172346336155, + -0.11556601090525756, + -0.11285715468958527, + -0.1118428033557622, + -0.11227474918168691, + -0.1138761881241445, + -0.11634957167853935, + -0.11938484624032221, + -0.12266786736329852, + -0.1258887734893852, + -0.12875010632354209, + -0.13097447296437448, + -0.1323115579600428, + -0.13254431129777514, + -0.1314941604917346, + -0.12902512083943898, + -0.1250467069095685, + -0.11951557966593093, + -0.11243589652791916, + -0.10385836528362938, + -0.09387803625765574, + -0.08263089964556598, + -0.07028938564097804, + -0.05705689312478498, + -0.04316149755067288, + -0.028849009621043108, + -0.014375572875977361, + -1.3268046304600217e-16 + ], + [ + 0, + 0.012849828920809356, + 0.025055529673256905, + 0.03642357196158343, + 0.04678807382873185, + 0.05601586501033057, + 0.06401064733560882, + 0.07071613790337383, + 0.07611810714623357, + 0.08024525257329711, + 0.08316887922490297, + 0.0850013889168603, + 0.0858936114097868, + 0.0860310409238761, + 0.08562907016195082, + 0.0849273404730346, + 0.08418335031022725, + 0.08366548410897054, + 0.08364563962172411, + 0.0843916431808168, + 0.08615964902264543, + 0.08918672051263242, + 0.09368378780456973, + 0.09982916821886138, + 0.10776282262441118, + 0.11758150367051026, + 0.12933493026178713, + 0.143023097726124, + 0.15859480530577286, + 0.1759474525922755, + 0.19492812506891466, + 0.21533595680078657, + 0.2369257263210604, + 0.25941261069997773, + 0.2824779934267955, + 0.30577619481964685, + 0.32894196988077845, + 0.3515985984355008, + 0.3733663765423201, + 0.3938713069452825, + 0.41275378004989266, + 0.4296770357120902, + 0.44433520008100846, + 0.4564607007489847, + 0.46583087732965384, + 0.47227362298002745, + 0.47567191486585747, + 0.4759671176005357, + 0.4731609726370718, + 0.4673162177583003, + 0.45855581343465013, + 0.44706078610690725, + 0.43306673159118, + 0.41685905398524276, + 0.3987670458923775, + 0.379156943725732, + 0.35842411662811097, + 0.3369845685314609, + 0.3152659495716661, + 0.29369828505714624, + 0.2727046371689101, + 0.252691916372043, + 0.23404205609804563, + 0.21710375569547932, + 0.20218498315058187, + 0.18954641097816158, + 0.1793959364171312, + 0.171884411177365, + 0.16710267710642002, + 0.16507997298037438, + 0.1657837449323424, + 0.16912085961192258, + 0.1749401858328276, + 0.18303647802545497, + 0.19315546405462897, + 0.20500001163651632, + 0.21823722237864265, + 0.2325062809816249, + 0.24742686989695126, + 0.26260794714352076, + 0.27765667734313887, + 0.2921873035164938, + 0.3058297498344448, + 0.31823775326589393, + 0.3290963346988814, + 0.33812843731172854, + 0.34510058130017174, + 0.34982740898756665, + 0.3521750222342185, + 0.35206304422238904, + 0.3494653693747758, + 0.34440959757951783, + 0.33697518124091524, + 0.3272903451524598, + 0.3155278690211813, + 0.3018998499260874, + 0.2866515863955301, + 0.27005474654306233, + 0.2523999993050317, + 0.23398929987646097, + 0.21512802765954175, + 0.19611717725718872, + 0.17724580022340605, + 0.1587838875094063, + 0.14097587002945713, + 0.12403489784153755, + 0.10813803753274437, + 0.09342250305448316, + 0.07998300808936391, + 0.0678702987413591, + 0.05709089466648093, + 0.04760803547960852, + 0.03934379817503379, + 0.032182321168813983, + 0.025974042169904742, + 0.02054083112963696, + 0.01568187665861476, + 0.011180165111137324, + 0.006809376501579451, + 0.0023410109116430234, + -0.002448446665419688, + -0.0077705158758679315, + -0.01381805361061801, + -0.020759109305361356, + -0.02873146894362627, + -0.0378380358685605, + -0.048143174791093535, + -0.05967012039773887, + -0.07239952434277618, + -0.08626918485573858, + -0.10117497245406513, + -0.11697293410095601, + -0.13348252737934385, + -0.15049090664512, + -0.1677581554285708, + -0.18502333427743944, + -0.20201119141815754, + -0.21843936561263594, + -0.23402589687052486, + -0.24849685159812676, + -0.26159386456645395, + -0.2730814008815144, + -0.2827535469338291, + -0.29044014996039996, + -0.29601214111769264, + -0.29938589646970554, + -0.3005265135649828, + -0.29944990773955515, + -0.296223661287292, + -0.2909665894681319, + -0.283847019214187, + -0.2750798085516445, + -0.26492216638206345, + -0.2536683625708771, + -0.24164344651546854, + -0.22919611780190874, + -0.2166909145675752, + -0.204499903209557, + -0.19299406665633642, + -0.18253459720258122, + -0.17346430366129995, + -0.1660993412058391, + -0.16072146577421445, + -0.15757100343481723, + -0.1568407089333681, + -0.15867066714033504, + -0.1631443667875461, + -0.17028604830915275, + -0.180059397453138, + -0.19236762433733917, + -0.20705493456705937, + -0.2239093657157227, + -0.24266692970905263, + -0.2630169702477418, + -0.28460861512198127, + -0.30705817683088715, + -0.32995733196880866, + -0.3528818909422029, + -0.375400955199471, + -0.3970862496458941, + -0.4175214135114482, + -0.436311033750739, + -0.45308921106394556, + -0.4675274596902565, + -0.4793417579723518, + -0.4882985869360585, + -0.4942198182800048, + -0.496986340637008, + -0.4965403430822344, + -0.4928862068885666, + -0.4860899896863715, + -0.47627751966523213, + -0.46363115044403963, + -0.44838525893087544, + -0.4308205981255612, + -0.41125764366732487, + -0.3900490963485369, + -0.36757172223860923, + -0.34421772702477793, + -0.32038587132321095, + -0.29647253880867236, + -0.27286296894181117, + -0.24992286085565024, + -0.22799054473893493, + -0.20736990208855843, + -0.18832419687774637, + -0.17107095648874437, + -0.15577801477089226, + -0.14256080046950687, + -0.13148092325369745, + -0.12254607742327835, + -0.11571125089369898, + -0.11088119504733718, + -0.1079140802898691, + -0.1066262334191206, + -0.10679782690634039, + -0.10817936754251019, + -0.11049881316649621, + -0.11346913182047912, + -0.11679610801443381, + -0.1201861960508159, + -0.1233542206649659, + -0.1260307305522233, + -0.12796882053049488, + -0.12895025285711875, + -0.12879072719714935, + -0.12734417143798046, + -0.12450595138172288, + -0.12021492566361834, + -0.11445430232260603, + -0.1072512845266002, + -0.09867552424388161, + -0.08883643336284335, + -0.07787943112028586, + -0.06598123396369138, + -0.05334431845899678, + -0.04019070894647387, + -0.02675525881357773, + -0.013278607064410634, + -1.2206290531976533e-16 + ], + [ + 0, + 0.011670747032584139, + 0.022665317769504045, + 0.032817621792248196, + 0.041989697272164214, + 0.05007593603729556, + 0.057006412489780195, + 0.06274922448999207, + 0.06731177998731681, + 0.07074099057581391, + 0.07312236159222843, + 0.07457799713340496, + 0.07526356672099065, + 0.07536430756388988, + 0.07509016177140562, + 0.07467017080553892, + 0.07434626934394584, + 0.0743666370459492, + 0.07497877905198132, + 0.07642251408048281, + 0.07892305250179335, + 0.0826843456651444, + 0.08788288204739891, + 0.09466209561102659, + 0.10312753734664745, + 0.11334294268143619, + 0.12532730570573888, + 0.13905304654021608, + 0.15444533124216012, + 0.17138257509840854, + 0.18969813068165503, + 0.20918313238964512, + 0.2295904400817218, + 0.2506395966014699, + 0.2720226881244897, + 0.2934109730460227, + 0.31446212510967686, + 0.3348279201831329, + 0.35416218392553656, + 0.3721288098788954, + 0.38840965445731884, + 0.40271211699374604, + 0.4147762194071903, + 0.4243810110310809, + 0.4313501394384477, + 0.4355564473487755, + 0.4369254784425303, + 0.43543780059385695, + 0.43113008303755934, + 0.42409489363281283, + 0.41447921295127427, + 0.40248169265582007, + 0.3883487157972228, + 0.3723693455019815, + 0.35486927534898555, + 0.33620391887821804, + 0.3167507965488413, + 0.2969013955539754, + 0.2770526907848193, + 0.25759852359979124, + 0.23892103868788145, + 0.22138237812818556, + 0.20531682576605592, + 0.191023584394683, + 0.17876035320694975, + 0.16873785393155266, + 0.1611154314535982, + 0.15599782909417534, + 0.15343321071046684, + 0.15341247206046665, + 0.15586985317856156, + 0.1606848325776964, + 0.1676852536834204, + 0.17665160475417604, + 0.18732234635857142, + 0.1994001559228875, + 0.21255893752442506, + 0.22645142750236216, + 0.24071721300933754, + 0.25499097165286444, + 0.2689107360847558, + 0.28212598788213283, + 0.29430539030109404, + 0.305143979332648, + 0.31436964669566864, + 0.3217487666024818, + 0.327090839870314, + 0.33025205368130034, + 0.3311376823972979, + 0.3297032836384385, + 0.3259546736207132, + 0.31994669577970775, + 0.31178082624228065, + 0.301601688016876, + 0.2895925721596927, + 0.27597008799075184, + 0.26097808509889003, + 0.24488100688539619, + 0.22795684834179564, + 0.21048989932965373, + 0.1927634586302415, + 0.17505270337471812, + 0.15761789318283081, + 0.14069807857678393, + 0.1245054692553799, + 0.10922059997496116, + 0.09498841054716815, + 0.08191533237205953, + 0.0700674475924183, + 0.05946975904960003, + 0.05010658045008355, + 0.04192302724244625, + 0.03482756038667476, + 0.028695508185618293, + 0.02337346632222236, + 0.018684453835565225, + 0.01443368353675324, + 0.010414789795045107, + 0.0064163451052541174, + 0.0022284896673292645, + -0.0023505044535715395, + -0.007507911098699985, + -0.013410639780554902, + -0.02019989668570931, + -0.027986561252609603, + -0.036847404040667456, + -0.04682224974518118, + -0.05791216466329432, + -0.07007872130082173, + -0.08324436480218803, + -0.09729387719532909, + -0.11207690679725232, + -0.12741150225064993, + -0.14308856426541175, + -0.15887710389252277, + -0.17453017467982748, + -0.1897913278987904, + -0.20440142565538003, + -0.21810563647885223, + -0.23066043218790588, + -0.2418404036223105, + -0.25144471624274134, + -0.25930303456934106, + -0.2652807567634247, + -0.26928341705989617, + -0.27126013383109904, + -0.2712060043140536, + -0.2691633728899377, + -0.26522192762849206, + -0.2595176089115118, + -0.25223034360606567, + -0.24358064773139743, + -0.23382516911833437, + -0.22325126848236243, + -0.2121707619461868, + -0.20091296973523778, + -0.18981723398203545, + -0.17922508284964606, + -0.16947222815397486, + -0.16088058906874378, + -0.1537505351874595, + -0.1483535381615276, + -0.14492541241822307, + -0.14366031228701584, + -0.1447056355389561, + -0.1481579622853502, + -0.15406013389573053, + -0.16239954966840717, + -0.1731077300730051, + -0.1860611651866059, + -0.20108343619939728, + -0.21794856732259751, + -0.23638553583737096, + -0.2560838401028129, + -0.27669999977769144, + -0.29786483993159857, + -0.31919139168060046, + -0.34028322694864577, + -0.3607430342989962, + -0.38018123676305093, + -0.39822445136687556, + -0.41452359365099145, + -0.42876143881093354, + -0.4406594639531475, + -0.4499838130504397, + -0.456550247077389, + -0.4602279659998201, + -0.4609422161940104, + -0.4586756258249987, + -0.4534682410135698, + -0.44541626653001765, + -0.4346695455171112, + -0.42142784261636396, + -0.4059360231249467, + -0.38847824675991915, + -0.36937131762369174, + -0.3489573514943233, + -0.3275959371370708, + -0.3056559795781726, + -0.2835074199334295, + -0.2615130282913976, + -0.2400204632792918, + -0.2193547843719514, + -0.1998115909389118, + -0.181650945770216, + -0.1650922207894647, + -0.1503099793561869, + -0.13743098356201705, + -0.1265323868848759, + -0.11764114317965435, + -0.1107346329819257, + -0.10574247822570018, + -0.10254948746504818, + -0.1009996462574299, + -0.10090104218778659, + -0.1020315917035438, + -0.10414541703559856, + -0.10697970645706971, + -0.11026188034072866, + -0.11371687917213545, + -0.11707438800086509, + -0.1200758147934189, + -0.12248084769894735, + -0.1240734281494643, + -0.12466699267800194, + -0.12410885593870329, + -0.12228363014951418, + -0.11911560147082767, + -0.11457001103895471, + -0.10865321680175351, + -0.10141174123563398, + -0.09293023872749097, + -0.08332844415768119, + -0.07275719032157336, + -0.06139360562052569, + -0.04943562434013706, + -0.03709595928976523, + -0.0245957001648945, + -0.012157710372978333, + -1.1130967973816593e-16 + ], + [ + 0, + 0.010496088284218085, + 0.020302687333572735, + 0.029280323979972222, + 0.037317482961469334, + 0.044334034947138314, + 0.05028379258148508, + 0.05515612352154247, + 0.058976573965247914, + 0.06180648192191706, + 0.06374158580211821, + 0.06490966013762278, + 0.06546723571676603, + 0.06559548548940239, + 0.06549537964630833, + 0.0653822327480868, + 0.06547978217029418, + 0.06601395002330813, + 0.06720644976343, + 0.06926840369769864, + 0.07239413836260278, + 0.07675532129541224, + 0.08249559509158957, + 0.0897258530326089, + 0.09852028525557606, + 0.10891330579269894, + 0.12089744929239146, + 0.13442230237490282, + 0.14939450896383144, + 0.1656788622057565, + 0.18310046840784228, + 0.20144794146480255, + 0.22047756018514128, + 0.2399182964144926, + 0.25947759950634103, + 0.2788478030704273, + 0.2977130035330238, + 0.31575624728862434, + 0.332666854437541, + 0.3481477025189802, + 0.3619222933913702, + 0.3737414305012452, + 0.38338934213161224, + 0.3906890986377024, + 0.3955071878688322, + 0.39775713255252815, + 0.3974020559096055, + 0.3944561266323648, + 0.38898484098892305, + 0.38110412756687534, + 0.3709782883623639, + 0.35881681786764863, + 0.344870168827984, + 0.32942455876540866, + 0.3127959345796445, + 0.29532323296497653, + 0.2773610915247439, + 0.2592721789000226, + 0.241419321624875, + 0.22415761054457523, + 0.2078266703573486, + 0.19274327214409698, + 0.17919446072199738, + 0.1674313564908531, + 0.15766377543080268, + 0.15005579144586162, + 0.14472234280365595, + 0.1417269595442785, + 0.14108066202662195, + 0.1427420528993146, + 0.14661859640458919, + 0.15256905073776927, + 0.1604069918780804, + 0.1699053415415633, + 0.18080178830892377, + 0.19280497012136386, + 0.20560126871918769, + 0.21886205264440947, + 0.23225119547256748, + 0.24543269021442335, + 0.2580781794652437, + 0.2698742239002581, + 0.2805291390344733, + 0.2897792415924252, + 0.29739436207703773, + 0.3031824988016642, + 0.30699351028676714, + 0.3087217669818424, + 0.3083077091546339, + 0.30573828485034504, + 0.3010462693925998, + 0.2943084952934279, + 0.28564304798544954, + 0.27520550783220427, + 0.26318434179739864, + 0.249795568399879, + 0.23527683665520024, + 0.21988107319357672, + 0.2038698613244999, + 0.18750672126513496, + 0.1710504619408891, + 0.154748771686557, + 0.13883220791616208, + 0.12350873458383824, + 0.10895894132096243, + 0.09533205989177457, + 0.08274287252852007, + 0.07126958332521612, + 0.06095269878081523, + 0.05179493742361811, + 0.04376216188103218, + 0.03678530045303419, + 0.03076319986725433, + 0.025566327077648412, + 0.0210412163162181, + 0.017015538662142726, + 0.01330365563023839, + 0.009712506095611547, + 0.0060476675681192605, + 0.00211942861523626, + -0.002251290791443775, + -0.0072273300647946355, + -0.01295014073684374, + -0.019535239831745658, + -0.027068386887372124, + -0.03560258878881856, + -0.045156015042587365, + -0.055710882443690726, + -0.06721334286912314, + -0.07957438180892625, + -0.09267170888246412, + -0.10635259565110391, + -0.12043759118768019, + -0.13472502272963502, + -0.1489961679157352, + -0.16302096711764677, + -0.17656412968851964, + -0.1893914769399616, + -0.2012763576133526, + -0.2120059687191349, + -0.22138741596244685, + -0.2292533535329213, + -0.2354670526826011, + -0.2399267620180602, + -0.24256923946319345, + -0.24337235599103751, + -0.2423566939809834, + -0.23958608786995095, + -0.2351670810180983, + -0.22924729974970195, + -0.22201277268514547, + -0.21368425007323835, + -0.2045126031995547, + -0.19477340745036797, + -0.1847608336621292, + -0.17478099045199905, + -0.16514487484720017, + -0.15616109933603184, + -0.14812857017091594, + -0.14132929418455187, + -0.13602148946029644, + -0.13243316896084018, + -0.1307563558055507, + -0.13114207454029406, + -0.13369624480564604, + -0.13847658271075172, + -0.14549059147014282, + -0.15469469703518804, + -0.1659945571782874, + -0.17924654443078514, + -0.1942603751196026, + -0.21080282918090876, + -0.22860247912630946, + -0.24735532214259612, + -0.26673118741824664, + -0.28638077194632816, + -0.30594314271737316, + -0.3250535317651803, + -0.3433512432460558, + -0.3604874887987173, + -0.3761329689224246, + -0.38998502399105817, + -0.40177418864950426, + -0.41126999747045706, + -0.418285907541297, + -0.4226832246690406, + -0.4243739436246339, + -0.42332243871790864, + -0.41954596837104385, + -0.41311398557451284, + -0.40414627447827095, + -0.392809961202073, + -0.37931547356577955, + -0.3639115491971835, + -0.346879413771352, + -0.3285262704327864, + -0.30917825728522563, + -0.2891730418244034, + -0.26885222905233525, + -0.24855376356513068, + -0.22860450507356053, + -0.20931315162813852, + -0.19096367541678197, + -0.17380942262529137, + -0.158068011838113, + -0.14391714523743, + -0.13149142393889446, + -0.1208802337540742, + -0.11212674111625774, + -0.10522801150656232, + -0.10013623514983089, + -0.0967610176957106, + -0.09497266772641838, + -0.09460638887517855, + -0.09546726268779063, + -0.09733588964291787, + -0.09997454041903982, + -0.10313365792695453, + -0.10655854309133259, + -0.10999605403721503, + -0.11320114928650546, + -0.11594311075766137, + -0.1180112916455994, + -0.11922024739302242, + -0.11941412460807113, + -0.1184702025084759, + -0.1163015037750659, + -0.11285841600993732, + -0.10812929069973636, + -0.10214001303157372, + -0.09495256242965992, + -0.08666260960566424, + -0.07739622059178977, + -0.06730576103158008, + -0.05656511436630692, + -0.045364344963224376, + -0.03390395124964225, + -0.022388864193018256, + -0.011022352745888682, + -1.0050939830742693e-16 + ], + [ + 0, + 0.009334905681965452, + 0.017984896945979083, + 0.025835850152490306, + 0.0328008196466961, + 0.03882272259259793, + 0.04387619187780617, + 0.0479685450848188, + 0.05113984054090177, + 0.05346201525012615, + 0.05503712347441551, + 0.05599471825773968, + 0.0564884406814625, + 0.056691902527386824, + 0.05679396677614269, + 0.05699354650331777, + 0.05749405584042977, + 0.05849765640444385, + 0.060199448714141665, + 0.0627817604409862, + 0.06640868181770428, + 0.0712209931777491, + 0.07733162054724516, + 0.0848217426751278, + 0.09373765717185702, + 0.10408849491743365, + 0.11584485105129484, + 0.12893837818529905, + 0.14326236354836472, + 0.1586732871720817, + 0.17499333357340463, + 0.19201380529872625, + 0.20949936376600006, + 0.22719300165329553, + 0.24482163216647945, + 0.262102164353539, + 0.2787479206291635, + 0.29447524316375856, + 0.30901013002337197, + 0.3220947400761648, + 0.33349360776601494, + 0.34299941485575985, + 0.3504381760257175, + 0.355673708547993, + 0.35861127282600574, + 0.3592002899936197, + 0.35743606454041593, + 0.35336046354106593, + 0.3470615289432297, + 0.3386720249036367, + 0.3283669477324834, + 0.3163600509867885, + 0.3028994620320877, + 0.2882624883859886, + 0.27274973182659773, + 0.25667864511035815, + 0.24037667978222876, + 0.2241741836399978, + 0.20839721268441883, + 0.193360424691421, + 0.17936021982275455, + 0.16666828798622133, + 0.15552571310316546, + 0.14613777127020047, + 0.1386695433340283, + 0.13324244303310598, + 0.1299317400691823, + 0.12876513378598356, + 0.12972240812840005, + 0.1327361728422861, + 0.13769367007830924, + 0.14443960031070685, + 0.15277989738703937, + 0.1624863601728985, + 0.17330202818758497, + 0.1849471713280067, + 0.19712574966497431, + 0.2095321887065968, + 0.2218583087084729, + 0.23380024372791247, + 0.2450651872304817, + 0.2553778061248472, + 0.2644861739917979, + 0.2721670867575331, + 0.27823063982375285, + 0.28252396431164467, + 0.2849340411372132, + 0.28538953458655125, + 0.28386161133119475, + 0.28036373581372526, + 0.27495045802403156, + 0.26771523425771265, + 0.2587873448948501, + 0.24832799498382813, + 0.23652570292851233, + 0.22359109938200128, + 0.20975127213863418, + 0.19524380305870495, + 0.180310649614396, + 0.165192026360138, + 0.15012044045115028, + 0.13531503030264183, + 0.12097634773726362, + 0.10728171174054155, + 0.0943812465501308, + 0.08239469864039974, + 0.07140910669294126, + 0.06147737638694103, + 0.052617788365427326, + 0.0448144436283416, + 0.03801862648001748, + 0.03215104162528501, + 0.02710485965769949, + 0.022749484577370017, + 0.0189349386320988, + 0.015496744154061883, + 0.01226116955621011, + 0.009050697570334294, + 0.005689568378293238, + 0.002009248643094979, + -0.0021463203741794237, + -0.006915836480073984, + -0.012416243306468672, + -0.01873894854079721, + -0.02594675603914311, + -0.034071595626469886, + -0.043113113617832495, + -0.05303816468609053, + -0.0637812222232448, + -0.0752457003891227, + -0.08730615722018187, + -0.09981132508722045, + -0.11258789303027696, + -0.1254449456157285, + -0.13817894546164014, + -0.15057913191052816, + -0.16243319687091057, + -0.1735330908972517, + -0.18368080834143766, + -0.19269400000396322, + -0.20041126515985988, + -0.2066969820566944, + -0.21144554680851838, + -0.21458490477865375, + -0.2160792757095472, + -0.21593099359788256, + -0.21418140414059006, + -0.21091078595210486, + -0.20623728609505673, + -0.2003148851699765, + -0.19333043165868488, + -0.1854998087998023, + -0.177063319402454, + -0.1682803941198134, + -0.1594237463004441, + -0.1507731111667647, + -0.14260871836314254, + -0.13520465458008904, + -0.12882227679379848, + -0.12370383655462691, + -0.1200664717037616, + -0.11809671398200956, + -0.11794564940137152, + -0.1197248532533263, + -0.12350320358650059, + -0.1293046563353598, + -0.13710704252068026, + -0.14684192362458875, + -0.1583955159600203, + -0.17161066922327287, + -0.1862898590652938, + -0.20219912906280876, + -0.21907289451357628, + -0.2366194995840969, + -0.25452740101626065, + -0.27247183630244787, + -0.2901218223432408, + -0.3071473224021932, + -0.3232264148714525, + -0.3380522970685656, + -0.3513399610085281, + -0.3628323857476844, + -0.37230610229293903, + -0.37957600193443214, + -0.3844992768313343, + -0.3869784023213569, + -0.38696309323247313, + -0.38445119089474045, + -0.37948846298635197, + -0.37216732418182474, + -0.3626245111729073, + -0.35103777038184697, + -0.3376216399809299, + -0.3226224291068403, + -0.30631251589843556, + -0.2889841017399376, + -0.27094257147992934, + -0.2524996181245066, + -0.2339662953656099, + -0.21564616219281244, + -0.1978286807368734, + -0.1807830214918883, + -0.1647524193417721, + -0.14994920964888525, + -0.1365506564050035, + -0.12469566453028344, + -0.11448244633141579, + -0.10596718844528784, + -0.09916374088718426, + -0.09404432470479794, + -0.09054122983186103, + -0.08854945065221605, + -0.08793018411904817, + -0.08851509458071073, + -0.09011123124991241, + -0.0925064689601564, + -0.09547533085184962, + -0.0987850432074383, + -0.1022016680077397, + -0.10549615801329253, + -0.10845018229133198, + -0.11086157702029836, + -0.11254928692462633, + -0.11335767654823017, + -0.11316010740823722, + -0.11186169645004714, + -0.1094011926567753, + -0.10575193160623093, + -0.1009218516356634, + -0.0949525794652055, + -0.08791761703475026, + -0.0799196843235855, + -0.071087294468319, + -0.06157065703093049, + -0.051537022304883384, + -0.041165593656206166, + -0.030642145725418284, + -0.020153493595123195, + -0.009881961576567648, + -8.974889810989019e-17 + ], + [ + 0, + 0.008195796570306146, + 0.015728032045248475, + 0.0225062506200151, + 0.028465835611317623, + 0.03357001639276151, + 0.03781109763700888, + 0.041210875781870285, + 0.04382022882490161, + 0.04571788712354936, + 0.04700841428817903, + 0.04781944795995417, + 0.04829826973835968, + 0.04860779126856772, + 0.04892205906419025, + 0.04942139362795685, + 0.05028728850756867, + 0.051697201825275235, + 0.053819376365836835, + 0.05680782440074225, + 0.0607976100556613, + 0.06590055526886486, + 0.07220148540161836, + 0.0797551175894385, + 0.08858367928295716, + 0.0986753265037712, + 0.10998341157679284, + 0.12242662898595628, + 0.13589004605917432, + 0.150227002967472, + 0.1652618445767442, + 0.18079342556749778, + 0.19659931046788348, + 0.21244057232545877, + 0.22806707812574764, + 0.24322313614682758, + 0.2576533705488666, + 0.2711086818912729, + 0.2833521491225825, + 0.2941647289887297, + 0.3033506127555978, + 0.3107421075555554, + 0.3162039203730528, + 0.3196367364275924, + 0.32098000016425776, + 0.32021382582580166, + 0.3173599852015555, + 0.31248194212606434, + 0.3056839260989766, + 0.2971090604608819, + 0.2869365833235503, + 0.27537822136010304, + 0.2626737970738021, + 0.2490861687799247, + 0.2348956187958211, + 0.22039381883949183, + 0.20587751205359664, + 0.19164205814200524, + 0.17797499165386774, + 0.16514974338592525, + 0.15341967119616626, + 0.14301253931801514, + 0.13412557470770411, + 0.1269212153039256, + 0.121523648659887, + 0.11801622062271698, + 0.11643977304094852, + 0.11679194738128731, + 0.11902746816907397, + 0.12305939689177768, + 0.12876132398775395, + 0.13597044434293262, + 0.1444914408751803, + 0.15410108180521626, + 0.16455342055344882, + 0.17558547326584387, + 0.1869232380935995, + 0.19828791279026184, + 0.20940216312340815, + 0.21999629411774005, + 0.22981417925549782, + 0.23861880937377, + 0.24619733294550272, + 0.2523654724593122, + 0.2569712173946296, + 0.2598977124281806, + 0.2610652795529834, + 0.2604325342434648, + 0.2579965781279096, + 0.2537922732796744, + 0.24789062565210945, + 0.2403963268067238, + 0.23144452338831561, + 0.2211969022869886, + 0.20983719564378034, + 0.1975662234099345, + 0.18459660173250572, + 0.17114725275891252, + 0.15743785535925772, + 0.14368337667204217, + 0.13008882128791244, + 0.11684432838602511, + 0.10412073740194062, + 0.09206573008856828, + 0.08080064146022357, + 0.07041801447778351, + 0.06097995388925245, + 0.052517313878388795, + 0.04502973262003838, + 0.0384865050389946, + 0.0328282635694931, + 0.027969416056197217, + 0.023801270644231383, + 0.02019576005992851, + 0.017009662522956815, + 0.014089204033868244, + 0.011274917260996456, + 0.008406625943940801, + 0.005328420793497594, + 0.0018934933707802951, + -0.002031301644300728, + -0.006561278134997628, + -0.011790256132903573, + -0.01778750399970845, + -0.024595368104006043, + -0.032227654962113314, + -0.04066881120238266, + -0.04987392592017208, + -0.05976955854260662, + -0.07025537376240805, + -0.08120654397545829, + -0.09247685950389242, + -0.10390246821787803, + -0.11530614946045765, + -0.12650201285770107, + -0.13730050102823416, + -0.14751356669042287, + -0.15695988942426728, + -0.16546999551860433, + -0.17289114597714972, + -0.17909186283687545, + -0.18396597235056508, + -0.1874360550999776, + -0.18945620745633446, + -0.19001403563860605, + -0.1891318225223112, + -0.18686682785452916, + -0.18331070412594688, + -0.17858803250091607, + -0.17285400535956408, + -0.1662913036085808, + -0.15910623742842894, + -0.15152423802937565, + -0.1437848048107083, + -0.1361360266312699, + -0.12882880734088262, + -0.1221109339975846, + -0.11622113108919625, + -0.11138324545701185, + -0.10780070443884705, + -0.1056513840504832, + -0.1050830149383537, + -0.10620924157549301, + -0.10910643502972499, + -0.11381134197187745, + -0.12031963283936453, + -0.12858539070604993, + -0.13852155995269602, + -0.15000135083118404, + -0.16286057303190388, + -0.1769008489596787, + -0.19189363614822835, + -0.20758496861845524, + -0.22370080949386412, + -0.23995289225750602, + -0.25604491603698476, + -0.2716789515334958, + -0.28656190888528327, + -0.3004119170084745, + -0.3129644658346954, + -0.323978168322106, + -0.33324000802376846, + -0.340569950139327, + -0.3458248090581923, + -0.3489012830583994, + -0.34973808662544686, + -0.3483171323178139, + -0.34466373670799644, + -0.3388458481196027, + -0.3309723170979337, + -0.32119025322889605, + -0.3096815335080393, + -0.29665854743406356, + -0.28235928187553583, + -0.267041864103763, + -0.2509786938294659, + -0.23445030432819078, + -0.21773909857014306, + -0.2011231085496466, + -0.18486992468994246, + -0.16923093732176203, + -0.15443602392712646, + -0.1406888043157196, + -0.12816257145102966, + -0.11699698862984122, + -0.10729562456676167, + -0.09912437712203033, + -0.09251081445281704, + -0.08744443980957954, + -0.08387786359747172, + -0.08172884423577685, + -0.08088313831941071, + -0.08119808113184686, + -0.08250680115429332, + -0.08462295728568466, + -0.08734587539377565, + -0.09046595184983888, + -0.09377018607034962, + -0.0970477019273435, + -0.10009511923694046, + -0.1027216413475896, + -0.10475373299434294, + -0.10603927384858289, + -0.10645108728238097, + -0.10588976042138698, + -0.10428569015727956, + -0.1016003099575114, + -0.09782647353516698, + -0.09298799318843279, + -0.08713835233851691, + -0.08035863293948389, + -0.07275471847131795, + -0.0644538516550563, + -0.055600642383599845, + -0.046352635234073784, + -0.03687555697048659, + -0.02733837238351735, + -0.01790828145055159, + -0.00874579201982631, + -7.911206545913137e-17 + ], + [ + 0, + 0.007086788962680569, + 0.013546796457471847, + 0.019311175408857455, + 0.024335078137481973, + 0.02859906081850012, + 0.03210977678242046, + 0.03489993816890605, + 0.03702754453735926, + 0.03857439619275067, + 0.03964392871491097, + 0.04035842300862898, + 0.040855661666927744, + 0.04128511714104119, + 0.04180376976232957, + 0.04257166374175833, + 0.04374731662149619, + 0.04548310207887262, + 0.04792072736679125, + 0.05118692497437075, + 0.05538947334212112, + 0.060613653778984956, + 0.06691924028959745, + 0.07433810608400537, + 0.0828725154267529, + 0.09249415256081335, + 0.103143921133418, + 0.11473252831005055, + 0.1271418480686895, + 0.14022703851009924, + 0.15381936889305659, + 0.1677296939852353, + 0.18175249666637086, + 0.19567040495025817, + 0.20925907708004252, + 0.22229233841599383, + 0.23454744673188227, + 0.24581035845102292, + 0.25588086739731997, + 0.2645774898442419, + 0.2717419749713566, + 0.27724332816231206, + 0.28098124570406935, + 0.2828888731092126, + 0.2829348151525786, + 0.28112434340643744, + 0.2774997661454767, + 0.2721399455092443, + 0.26515896726709065, + 0.2567039889289854, + 0.24695231178545776, + 0.23610774125488546, + 0.22439631720502104, + 0.21206151127290332, + 0.19935900125500494, + 0.1865511430556922, + 0.17390126820909746, + 0.1616679394402451, + 0.1500992979938579, + 0.13942763449992468, + 0.12986431000888946, + 0.121595145639245, + 0.11477638823403816, + 0.10953134578817246, + 0.10594777051649784, + 0.10407604966996045, + 0.10392824500571105, + 0.10547800164433392, + 0.10866132639419852, + 0.11337821499182216, + 0.11949508759973175, + 0.12684797280814636, + 0.13524636276720708, + 0.14447764635927055, + 0.15431201388572746, + 0.1645077159133307, + 0.17481655096032706, + 0.18498945179129414, + 0.1947820383450201, + 0.20396000677741197, + 0.21230422871826565, + 0.21961544249594994, + 0.22571842858255975, + 0.23046557458911276, + 0.23373975046815706, + 0.23545643177734485, + 0.23556502749422684, + 0.2340493884874859, + 0.2309274928574106, + 0.22625032446199989, + 0.22009998054919308, + 0.21258706303830208, + 0.20384742517810164, + 0.19403836063518964, + 0.18333433516108946, + 0.17192237153329898, + 0.15999720621112068, + 0.14775634090889958, + 0.1353951139589724, + 0.12310191488312176, + 0.11105366106137175, + 0.0994116479037093, + 0.08831787369044394, + 0.07789192751523437, + 0.06822851386797017, + 0.059395670712602586, + 0.05143371987160724, + 0.04435496958106386, + 0.03814416970733468, + 0.032759700806658666, + 0.0281354594490084, + 0.024183384489012475, + 0.02079655269502561, + 0.017852757750522478, + 0.015218474480203423, + 0.012753100530283754, + 0.01031336088795368, + 0.007757756728390592, + 0.0049509392241126, + 0.0017678911593397718, + -0.0019021955972530597, + -0.006152450628671989, + -0.011055356640399581, + -0.016660362261384162, + -0.022992140785406404, + -0.030049542807944866, + -0.03780527261640016, + -0.04620629931102264, + -0.05517499444896543, + -0.06461096900129208, + -0.07439356407499846, + -0.08438493264521293, + -0.09443363390472324, + -0.10437864816777703, + -0.11405370891252214, + -0.12329183980345157, + -0.13192997862844252, + -0.13981356717013402, + -0.14680098618920476, + -0.15276771793124355, + -0.15761012480582567, + -0.16124874197708453, + -0.16363099332861172, + -0.16473325433469155, + -0.164562201438043, + -0.16315540520409008, + -0.16058114335505852, + -0.15693742931566965, + -0.15235027163919923, + -0.14697119913528844, + -0.14097410520219117, + -0.13455148230730093, + -0.1279101333218026, + -0.12126646009994232, + -0.11484144095322076, + -0.10885541721677786, + -0.103522814717996, + -0.09904692848697631, + -0.09561489842203287, + -0.09339299984587106, + -0.09252236604278825, + -0.09311525011325458, + -0.0952519210510326, + -0.09897827413761216, + -0.10430421891655677, + -0.11120288956428306, + -0.11961070286233658, + -0.12942826867734336, + -0.14052213736430502, + -0.1527273483279739, + -0.16585072460019956, + -0.17967484019375077, + -0.1939625706197909, + -0.20846212270986778, + -0.22291242811497214, + -0.23704877585480097, + -0.25060855328275966, + -0.26333696196655, + -0.27499257533336685, + -0.2853526084871525, + -0.29421777728873433, + -0.3014166334371876, + -0.3068092746689018, + -0.31029034399923777, + -0.311791248810473, + -0.3112815491283458, + -0.3087694841768268, + -0.3043016267761654, + -0.29796167585454725, + -0.28986841777521155, + -0.2801729068420325, + -0.2690549337599333, + -0.2567188675456331, + -0.2433889710046182, + -0.22930430205916197, + -0.21471332263749884, + -0.19986834329136766, + -0.1850199350465394, + -0.17041144013402632, + -0.15627371020219935, + -0.14282019445427832, + -0.13024249104999513, + -0.11870646328533974, + -0.10834900781740547, + -0.09927554588854508, + -0.09155829053179641, + -0.08523532355427259, + -0.08031049617232522, + -0.07675414700449336, + -0.07450461121309404, + -0.07347047541309705, + -0.07353351500846979, + -0.0745522343111828, + -0.07636591554430433, + -0.07879907097410921, + -0.08166618324264978, + -0.084776612700317, + -0.08793954731350362, + -0.09096887061543667, + -0.09368782617070928, + -0.09593336305078856, + -0.0975600557083681, + -0.09844350316140824, + -0.09848312625637973, + -0.09760429762022205, + -0.09575975632864904, + -0.09293027787279452, + -0.08912458922735372, + -0.08437853822596691, + -0.07875354554460512, + -0.07233438590059989, + -0.06522636213370407, + -0.0575519512181631, + -0.04944701457583924, + -0.0410566759869228, + -0.03253097865417424, + -0.024020438363810064, + -0.01567161206839089, + -0.007622800537426246, + -6.867870746608381e-17 + ], + [ + 0, + 0.00601523610734062, + 0.011454323438248058, + 0.01626762861120483, + 0.02042724200604711, + 0.023927863856681164, + 0.026787055977543033, + 0.029044850715189363, + 0.030762725508511155, + 0.032021968040233995, + 0.03292147294708991, + 0.03357502601999825, + 0.03410814538783636, + 0.034654560992924, + 0.035352423430835424, + 0.036340340690485945, + 0.037753346299080934, + 0.039718904719414645, + 0.04235305949891149, + 0.04575682663298303, + 0.05001292994951502, + 0.05518296718224424, + 0.061305084976612426, + 0.06839222861823802, + 0.07643101809860121, + 0.08538128658582457, + 0.09517630083648737, + 0.10572366597866065, + 0.11690689984341249, + 0.1285876450531663, + 0.1406084708156149, + 0.1527962012298025, + 0.16496569326796784, + 0.17692397579782546, + 0.18847465135511318, + 0.19942245511277173, + 0.2095778608095749, + 0.21876162142228256, + 0.22680913314955045, + 0.2335745148126506, + 0.23893430098910168, + 0.24279065593579768, + 0.24507402642051, + 0.24574516469929159, + 0.24479646773555241, + 0.24225259499411642, + 0.23817034436538248, + 0.23263778356082385, + 0.22577265223682397, + 0.21772006771074748, + 0.20864958399947328, + 0.1987516696223557, + 0.18823368378130698, + 0.17731544281155087, + 0.16622447888443778, + 0.15519110058910932, + 0.14444337003277463, + 0.13420211335444013, + 0.12467608098609063, + 0.11605737062946227, + 0.10851721982540961, + 0.10220226632280996, + 0.09723136341471812, + 0.09369302426873799, + 0.09164355435555052, + 0.09110591473706253, + 0.09206934161127212, + 0.09448972954717198, + 0.09829076771685981, + 0.10336580058429747, + 0.10958036737463271, + 0.11677535864067813, + 0.1247707137521404, + 0.1333695705090981, + 0.14236276762856936, + 0.15153359282276307, + 0.1606626637710501, + 0.16953282661181085, + 0.17793395670456866, + 0.18566754932804203, + 0.19255099360801162, + 0.1984214311660163, + 0.20313911153854586, + 0.20659016907174618, + 0.2086887604326524, + 0.2093785177353763, + 0.20863328916597756, + 0.2064571564848252, + 0.20288373645791577, + 0.19797479068312235, + 0.19181818500534997, + 0.18452525534561723, + 0.1762276509207732, + 0.16707373815798707, + 0.15722465881238565, + 0.14685014363166538, + 0.13612418819188574, + 0.125220700131583, + 0.11430922688122408, + 0.10355087013435059, + 0.09309448781574516, + 0.0830732763163463, + 0.07360181549205283, + 0.06477364662827799, + 0.056659439568236894, + 0.049305789846771024, + 0.042734670352279076, + 0.03694354516973766, + 0.03190613626354112, + 0.027573816967991716, + 0.023877590285514148, + 0.020730595148937842, + 0.01803107045665123, + 0.01566569517210073, + 0.013513213379634445, + 0.011448246141126965, + 0.00934518747685746, + 0.007082079910691119, + 0.0045443658182377, + 0.0016284142742738798, + -0.00175527087766096, + -0.005679247569588604, + -0.010196811863458388, + -0.015340216743472673, + -0.021119481797144332, + -0.02752182680962086, + -0.03451174601183148, + -0.042031722994378046, + -0.05000356955023725, + -0.05833035536542051, + -0.06689887995297888, + -0.07558262391701166, + -0.08424510390424791, + -0.09274354477652194, + -0.10093277389564709, + -0.10866923617585374, + -0.11581502489088193, + -0.12224182222148754, + -0.1278346452261376, + -0.1324952972768861, + -0.13614543192082404, + -0.1387291454376613, + -0.14021502583819284, + -0.14059759940426766, + -0.13989813077831464, + -0.138164748699934, + -0.13547188635856267, + -0.13191904256449696, + -0.1276288871052817, + -0.12274475032113585, + -0.11742755268362332, + -0.11185224460001465, + -0.10620383942730993, + -0.1006731334412003, + -0.09545221499182868, + -0.09072987107147179, + -0.08668700286194779, + -0.08349216242994162, + -0.08129732057242559, + -0.08023397092649813, + -0.08040966796011381, + -0.08190508652917411, + -0.08477167855948542, + -0.08902998838120595, + -0.0946686726481565, + -0.10164425399359774, + -0.10988162001653114, + -0.11927526128687636, + -0.1296912242420082, + -0.14096973755747183, + -0.15292845423548918, + -0.16536623666754652, + -0.17806739866070265, + -0.1908063071982953, + -0.20335223781156844, + -0.21547437108988024, + -0.2269468142116372, + -0.23755353052812836, + -0.24709306220155244, + -0.2553829356413131, + -0.26226364688569465, + -0.26760213396072385, + -0.27129465537497516, + -0.2732690079838434, + -0.27348603313740466, + -0.27194037693097717, + -0.26866048809561976, + -0.2637078551659665, + -0.2571755026047416, + -0.24918578310835693, + -0.23988751993999785, + -0.22945256843222933, + -0.2180718793999052, + -0.2059511587775215, + -0.1933062270644343, + -0.18035818890483227, + -0.1673285271873828, + -0.15443423732846634, + -0.14188311587784255, + -0.12986931329992613, + -0.11856925384920043, + -0.10813801605081085, + -0.09870625565398768, + -0.09037773933795627, + -0.08322754225605912, + -0.07730094608159635, + -0.07261305697536247, + -0.06914914525655572, + -0.06686569096096787, + -0.06569210234650381, + -0.06553305817683379, + -0.06627140967701135, + -0.06777156477496683, + -0.06988326594282135, + -0.07244566390506274, + -0.0752915829033871, + -0.0782518692552339, + -0.08115971370398044, + -0.08385483955504351, + -0.08618745277720509, + -0.08802185700903924, + -0.08923964556908803, + -0.0897423938887384, + -0.08945378897846364, + -0.08832114726497584, + -0.08631628802495216, + -0.08343574628807782, + -0.07970032606771553, + -0.0751540116733572, + -0.06986227123990633, + -0.06390980206315215, + -0.0573977814707979, + -0.05044069942991054, + -0.04316285958283458, + -0.035694643652816306, + -0.028168639962808578, + -0.02071574002288844, + -0.013461307685477809, + -0.006521523232359448, + -5.852348480925827e-17 + ], + [ + 0, + 0.004987720565017255, + 0.009462008495003844, + 0.013389758965878854, + 0.01675695020127215, + 0.019569102452243164, + 0.021851187485210748, + 0.023646989598476106, + 0.02501793353156755, + 0.026041408600030635, + 0.02680863162631369, + 0.027422103408305937, + 0.027992724260723165, + 0.028636643305154724, + 0.029471923437760672, + 0.030615109082150378, + 0.032177786803645005, + 0.03426322954008873, + 0.036963213571213634, + 0.04035509343893938, + 0.044499213937773216, + 0.049436730165516155, + 0.05518789665895003, + 0.06175087508267658, + 0.0691010970777302, + 0.07719120502918692, + 0.08595157902324221, + 0.09529144349542283, + 0.10510053239178002, + 0.11525127744173881, + 0.12560147073181824, + 0.13599734051128673, + 0.14627696836364368, + 0.1562739668156353, + 0.16582132935980165, + 0.1747553599204227, + 0.18291958612634981, + 0.19016856044142452, + 0.19637145525965885, + 0.20141536245504602, + 0.20520821448406498, + 0.20768125281660324, + 0.20879098001063096, + 0.2085205438935387, + 0.20688051577441416, + 0.20390903905949298, + 0.19967133972543094, + 0.19425860545349455, + 0.18778625546662345, + 0.1803916378670422, + 0.17223120518238574, + 0.16347723155118285, + 0.15431414620058548, + 0.1449345673136522, + 0.13553512781658228, + 0.12631218985364576, + 0.11745754762826284, + 0.10915421879887575, + 0.10157242271280492, + 0.09486583948421551, + 0.0891682373758824, + 0.08459054728637314, + 0.0812184525842258, + 0.07911055032483655, + 0.07829712633065103, + 0.07877957204043363, + 0.08053045579337596, + 0.08349424567930712, + 0.08758866563509465, + 0.09270665147506273, + 0.09871885937408413, + 0.10547666631967335, + 0.112815590528865, + 0.12055905006525787, + 0.12852237012630408, + 0.13651694388653896, + 0.14435444851109927, + 0.1518510170708229, + 0.1588312686119438, + 0.16513210251746513, + 0.17060616944315568, + 0.1751249393630242, + 0.17858129740964612, + 0.18089160999024465, + 0.18199721680624653, + 0.18186531857580937, + 0.1804892451045413, + 0.17788810350245818, + 0.17410582143147268, + 0.1692096149161451, + 0.1632879241014439, + 0.1564478730557754, + 0.14881232098531444, + 0.14051658177299828, + 0.13170489635197558, + 0.12252674788726653, + 0.11313311294263736, + 0.10367274268043092, + 0.0942885666666192, + 0.08511430807634458, + 0.07627139311857173, + 0.06786622947861219, + 0.05998791872119624, + 0.05270645615687957, + 0.04607145894220587, + 0.04011144948234612, + 0.03483370688051752, + 0.0302246845929706, + 0.026250977969183055, + 0.02286081134823594, + 0.019986001195959214, + 0.017544339733848523, + 0.015442332931144918, + 0.013578217870034354, + 0.011845177571389587, + 0.010134666556557734, + 0.008339757837870542, + 0.006358421739098727, + 0.004096648951570876, + 0.0014713344789067933, + -0.0015871544963740097, + -0.005132795441033581, + -0.009202170503792044, + -0.01381321665543934, + -0.01896450002759617, + -0.02463503484986168, + -0.03078465316126926, + -0.037354917076742454, + -0.044270551187978825, + -0.05144135903155316, + -0.058764574811955086, + -0.0661275900482258, + -0.07341098481370825, + -0.08049178501507277, + -0.0872468609206872, + -0.09355637806131577, + -0.09930720979591016, + -0.10439622131321057, + -0.10873333761936586, + -0.11224431307834208, + -0.1148731272047942, + -0.11658394048428669, + -0.11736255479016881, + -0.11721733521347331, + -0.11617956351838887, + -0.11430320764829921, + -0.11166410638204473, + -0.10835858301068903, + -0.1045015164021184, + -0.10022391168077857, + -0.09567002562435072, + -0.09099411344353382, + -0.08635687357256812, + -0.08192167520316654, + -0.07785065933516318, + -0.07430080793631863, + -0.07142007729896624, + -0.06934369080769522, + -0.06819068310369773, + -0.06806078211991766, + -0.06903170779542626, + -0.0711569566399121, + -0.07446412994121378, + -0.0789538505654027, + -0.08459929930166507, + -0.09134638689387128, + -0.09911456263863605, + -0.10779824508902992, + -0.11726884535970121, + -0.127377339151981, + -0.13795733025988666, + -0.14882853630848372, + -0.1598006171108485, + -0.17067725756493868, + -0.18126041065670712, + -0.1913546020490203, + -0.20077119601993546, + -0.20933252321342494, + -0.21687577376614658, + -0.22325656480200862, + -0.228352098911669, + -0.23206383987247406, + -0.23431964328209537, + -0.2350752926989744, + -0.2343154059906941, + -0.23205369154441702, + -0.22833254942785672, + -0.2232220281294591, + -0.21681816277471871, + -0.20924073534077856, + -0.20063051101865395, + -0.19114601717117766, + -0.18095994200752688, + -0.17025523888455377, + -0.1592210288399958, + -0.14804839840360168, + -0.1369261918152569, + -0.12603689645825372, + -0.1155527176040927, + -0.10563193353416486, + -0.09641561488207079, + -0.0880247828102071, + -0.08055806962693535, + -0.07408993294060852, + -0.06866946074493967, + -0.06431979027645927, + -0.06103814843907784, + -0.05879650642451956, + -0.057542826244221176, + -0.05720286259474677, + -0.05768247015528532, + -0.058870354388047656, + -0.06064119347322318, + -0.06285905041245614, + -0.06538098778520442, + -0.06806079329622519, + -0.07075272221012091, + -0.07331516307323462, + -0.07561413575868522, + -0.077526535763402, + -0.07894304570714404, + -0.07977064395034839, + -0.07993465092982621, + -0.07938026593606928, + -0.07807356031505261, + -0.07600190713499533, + -0.07317384185931054, + -0.06961836314527997, + -0.06538369717687745, + -0.06053556258056487, + -0.05515498562255865, + -0.049335726728184794, + -0.04318138911494057, + -0.03680228824752015, + -0.030312166708526465, + -0.023824842787335945, + -0.017450882530927612, + -0.011294384140923503, + -0.005449960465010328, + -4.8714918725756347e-17 + ], + [ + 0, + 0.004009968957241977, + 0.007579365989543841, + 0.010688689141137898, + 0.013334589353382583, + 0.015529999089177397, + 0.017303802154963528, + 0.01870005242458568, + 0.019776760979460947, + 0.020604282504271054, + 0.02126334232884676, + 0.02184275501641963, + 0.02243689362337464, + 0.023142975485567638, + 0.02405823544811526, + 0.025277060718041686, + 0.026888162896101044, + 0.028971862196608928, + 0.031597556401652106, + 0.0348214427761693, + 0.038684555097414274, + 0.04321117027471379, + 0.0484076299422216, + 0.054261612123400305, + 0.06074187684635634, + 0.06779849771297218, + 0.0753635791880987, + 0.083352447083589, + 0.0916652876734226, + 0.10018919939267949, + 0.10880061043360471, + 0.11736800602498869, + 0.12575490100799666, + 0.1338229867107045, + 0.1414353762447808, + 0.1484598693282721, + 0.15477215665956853, + 0.1602588847627328, + 0.16482050507790771, + 0.1683738358183701, + 0.17085427164680742, + 0.1722175843820274, + 0.172441267537455, + 0.17152538828254046, + 0.16949292214560466, + 0.16638955815605422, + 0.16228297485304552, + 0.15726160035513506, + 0.15143288217829767, + 0.1449211044012355, + 0.13786480081425984, + 0.13041382257936127, + 0.12272612743035421, + 0.11496436434292652, + 0.10729233273384706, + 0.09987139847854141, + 0.09285695028526542, + 0.08639497919921221, + 0.08061886124743964, + 0.0756464185408313, + 0.07157732763508237, + 0.06849093577628854, + 0.06644453601613699, + 0.06547214131098594, + 0.06558378588236097, + 0.0667653696013955, + 0.06897904827085038, + 0.07216415972901673, + 0.07623866300485765, + 0.081101055621664, + 0.08663272287177554, + 0.09270066274092138, + 0.0991605213928629, + 0.10585986694481121, + 0.1126416238439379, + 0.11934758662427682, + 0.12582193026407484, + 0.13191463481028878, + 0.13748474437442532, + 0.14240338496824093, + 0.14655647182789694, + 0.14984704471534616, + 0.15219717898993615, + 0.15354943077967795, + 0.15386778608866158, + 0.15313809586970215, + 0.1513679916680452, + 0.14858628909268048, + 0.14484189878506867, + 0.14020227642603594, + 0.1347514543594196, + 0.12858770734618757, + 0.12182091355351836, + 0.1145696789218655, + 0.10695829837039196, + 0.09911363077150544, + 0.09116196616875523, + 0.0832259632973854, + 0.07542173311033887, + 0.06785613977975273, + 0.06062438464678612, + 0.053807930986437595, + 0.04747281843416835, + 0.04166840571769559, + 0.03642656920949591, + 0.03176137304504871, + 0.02766921443595623, + 0.02412943565107439, + 0.021105382248493152, + 0.01854587581514876, + 0.01638705899299475, + 0.014554561203199338, + 0.012965925456723868, + 0.011533230160754191, + 0.010165835056616012, + 0.008773177473790745, + 0.007267544028283514, + 0.005566743755969198, + 0.003596611428455278, + 0.0012932743785748246, + -0.0013948775528626197, + -0.004505571508575905, + -0.008061423930332297, + -0.01206913879885894, + -0.016519153762769523, + -0.02138574441769445, + -0.02662758502270153, + -0.03218875200025659, + -0.03800014496159613, + -0.043981289026327475, + -0.05004247214250458, + -0.056087162217752874, + -0.06201464137049922, + -0.06772278869538277, + -0.07311093876111796, + -0.07808274073154456, + -0.08254894258404075, + -0.08643002640867886, + -0.08965862417286118, + -0.09218164854849631, + -0.09396208029528448, + -0.09498036210510058, + -0.09523535853121602, + -0.09474485241146618, + -0.09354555977850589, + -0.09169265734454679, + -0.08925882895060493, + -0.08633284957362553, + -0.08301773728300983, + -0.07942851463461316, + -0.07568963110561557, + -0.07193210705199818, + -0.06829046708612843, + -0.06489953653550252, + -0.06189117860598374, + -0.05939105192931151, + -0.0575154682676888, + -0.05636842826900146, + -0.05603890935456537, + -0.05659847416516936, + -0.05809926062433366, + -0.06057240577649012, + -0.06402694533687306, + -0.06844921959699277, + -0.07380280423929637, + -0.08002897202186082, + -0.08704767850651912, + -0.09475905233480493, + -0.10304535831633008, + -0.11177339008434337, + -0.12079723857654132, + -0.1299613733744351, + -0.13910396620955945, + -0.14806037991092272, + -0.1566667418752896, + -0.1647635188952978, + -0.17219900993733864, + -0.17883267523000457, + -0.18453822376370385, + -0.18920638692349648, + -0.19274731334490164, + -0.19509252901811486, + -0.19619641695305068, + -0.19603718210607493, + -0.19461727948241533, + -0.19196329606903373, + -0.1881252902113658, + -0.1831756049086688, + -0.17720718395415602, + -0.1703314315852071, + -0.16267566705094302, + -0.15438023498913525, + -0.14559534050261977, + -0.13647768414456224, + -0.12718697651085806, + -0.11788241469045832, + -0.10871920338198311, + -0.09984520203798891, + -0.09139777598641874, + -0.08350092418985847, + -0.07626274927107482, + -0.06977332683429484, + -0.0641030211604138, + -0.059301283298306966, + -0.05539595568782064, + -0.0523930950269944, + -0.0502773124433561, + -0.04901261745848849, + -0.048543740055613384, + -0.048797893670408585, + -0.04968693140673335, + -0.05110983848780309, + -0.052955496115092426, + -0.05510564571082369, + -0.05743797811318188, + -0.05982926977949577, + -0.06215848748746043, + -0.06430978441541747, + -0.06617531378848962, + -0.06765779140916403, + -0.06867274521467479, + -0.06915039834328979, + -0.06903714183401308, + -0.06829656378384472, + -0.06691001327229688, + -0.0648766893439352, + -0.06221325751405323, + -0.058953008323718185, + -0.055144584115198646, + -0.05085031113505813, + -0.0461441840260309, + -0.0411095584913414, + -0.035836615188795766, + -0.030419663555842438, + -0.02495435814114483, + -0.019534902027938672, + -0.014251312031440413, + -0.009186818536905023, + -0.0044154691647951706, + -3.931448431194677e-17 + ], + [ + 0, + 0.0030867784128777677, + 0.0058139112294994895, + 0.008172385718557062, + 0.010166201786898114, + 0.011812270809471963, + 0.013139949830177676, + 0.01419022273083771, + 0.015014549218661064, + 0.015673411212590957, + 0.016234594193761113, + 0.01677124812144619, + 0.017359778423647058, + 0.01807762219931306, + 0.019000967997746233, + 0.020202479285611634, + 0.02174908192606541, + 0.02369987466911534, + 0.026104218817433883, + 0.02900005895541499, + 0.03241252101557536, + 0.03635282714346566, + 0.04081755897842514, + 0.045788292287296715, + 0.05123161658745606, + 0.05709954370602295, + 0.06333029938592369, + 0.06984948231277248, + 0.07657156554357733, + 0.08340170650525473, + 0.09023782372011578, + 0.09697289140961728, + 0.10349739730493819, + 0.10970190450247154, + 0.11547965516045086, + 0.1207291523202365, + 0.12535665619506867, + 0.12927853290420901, + 0.13242339680614104, + 0.13473399222740717, + 0.13616876638376893, + 0.13670309250389617, + 0.13633011041862267, + 0.13506116097080711, + 0.13292580031074228, + 0.12997139023290352, + 0.12626227093483058, + 0.12187853268753356, + 0.1169144126508726, + 0.11147635220732073, + 0.10568075849825131, + 0.09965152112339926, + 0.09351734102642442, + 0.08740893328730087, + 0.081456168758445, + 0.07578522113534666, + 0.0705157861013603, + 0.06575843762702185, + 0.06161218337293803, + 0.05816227651664813, + 0.055478335309352415, + 0.05361281441342702, + 0.052599863752113445, + 0.05245460142062404, + 0.0531728173862828, + 0.05473111448299926, + 0.057087482830923346, + 0.060182293537792045, + 0.0639396876139732, + 0.0682693266995655, + 0.07306846368559247, + 0.07822428381859459, + 0.08361646058985192, + 0.08911986577844822, + 0.09460736955943513, + 0.0999526646862446, + 0.10503304845374652, + 0.10973209744923029, + 0.11394217296796079, + 0.11756669933434004, + 0.12052216311888513, + 0.12273978823129732, + 0.12416684992657336, + 0.12476759968426497, + 0.12452378248953289, + 0.12343473802200827, + 0.12151708739850196, + 0.11880401716863068, + 0.11534418198146977, + 0.11120025648816162, + 0.1064471753964504, + 0.10117010794497444, + 0.09546221923959626, + 0.08942227574241617, + 0.0831521556109091, + 0.0767543264703647, + 0.07032935352593374, + 0.0639734996784362, + 0.05777647653689189, + 0.051819400994675774, + 0.046173006465505026, + 0.04089615110360016, + 0.03603465753240678, + 0.031620509976620914, + 0.0276714254515534, + 0.024190806045629606, + 0.021168069578474058, + 0.018579346273980737, + 0.01638851979718494, + 0.014548582298532084, + 0.013003265207158844, + 0.011688900613403214, + 0.010536462351916638, + 0.009473731482734556, + 0.00842752787754157, + 0.007325948125292856, + 0.006100550010759352, + 0.0046884253882980035, + 0.0030341063295863855, + 0.001091253889156162, + -0.0011759154091471437, + -0.00379150335515723, + -0.006767134217361704, + -0.010101510753444317, + -0.013780334329620307, + -0.01777659189378274, + -0.022051202953024776, + -0.026554010278998435, + -0.031225089044280823, + -0.03599634070877012, + -0.04079333044058413, + -0.04553732036318493, + -0.05014744563564304, + -0.054542976431968856, + -0.058645606390482316, + -0.06238170712121933, + -0.0656844889163787, + -0.06849600989512436, + -0.07076897938055492, + -0.07246830626694187, + -0.0735723493679085, + -0.0740738340874135, + -0.07398040804321375, + -0.07331481729110602, + -0.07211469432314724, + -0.07043195880658587, + -0.06833184184749845, + -0.06589155415816378, + -0.06319862763901503, + -0.0603489683246462, + -0.057444666175647724, + -0.05459161363293485, + -0.05189699002453582, + -0.04946667269337663, + -0.04740263799966285, + -0.04580041608113764, + -0.044746662405357046, + -0.04431690673591625, + -0.044573536213744554, + -0.04556406391719282, + -0.04731972763789624, + -0.049854455852766835, + -0.05316422917362933, + -0.057226856126336004, + -0.06200217218048091, + -0.06743266076172734, + -0.0734444847806927, + -0.07994890725541647, + -0.08684407013331476, + -0.0940170916661948, + -0.10134643487416302, + -0.10870449294417317, + -0.1159603320121808, + -0.12298252780850302, + -0.12964203020324705, + -0.13581498883449586, + -0.14138547375922403, + -0.14624802741924633, + -0.1503099881062133, + -0.15349353044742667, + -0.1557373750892043, + -0.15699812756554743, + -0.15725121511745313, + -0.15649139975913684, + -0.15473285594005817, + -0.1520088114815214, + -0.14837076082257875, + -0.14388726974024885, + -0.13864240036754422, + -0.1327337942849929, + -0.12627045949024476, + -0.11937031396167642, + -0.11215754415890697, + -0.10475984101073216, + -0.09730557862891125, + -0.0899210020917236, + -0.08272749014026547, + -0.0758389565385248, + -0.0693594502199391, + -0.06338100927041941, + -0.05798181740828529, + -0.053224704074704525, + -0.04915602073191574, + -0.045804916691970225, + -0.04318302799549497, + -0.04128458277020316, + -0.0400869163711952, + -0.03955137968863182, + -0.03962461454647421, + -0.0402401613402845, + -0.04132035618669973, + -0.04277846807355215, + -0.044521020971645925, + -0.04645024172941551, + -0.04846657191785786, + -0.05047118068595474, + -0.052368416148455825, + -0.05406813484152428, + -0.05548785229199366, + -0.05655466266030917, + -0.05720688160841972, + -0.05739537385314728, + -0.0570845351065765, + -0.05625290706859595, + -0.05489341359610514, + -0.0530132158898566, + -0.050633194268729365, + -0.04778707359790168, + -0.04452021846361678, + -0.04088813251692749, + -0.036954703833699726, + -0.032790244473021875, + -0.02846937750339777, + -0.024068828479619584, + -0.0196651806016431, + -0.015332653515663661, + -0.011140964910712208, + -0.007153331743936261, + -0.0034246641548218854, + -3.0375801154343544e-17 + ], + [ + 0, + 0.0022219555972443966, + 0.004171069446503912, + 0.005845571382185912, + 0.007253435356323115, + 0.008412151093116658, + 0.009348226412036868, + 0.010096432920519444, + 0.010698814511709412, + 0.011203484346991402, + 0.011663241598237417, + 0.0121340440280833, + 0.012673376375221045, + 0.013338557385694795, + 0.014185030115982846, + 0.015264680782031815, + 0.01662423092170541, + 0.01830374598666781, + 0.02033530072267454, + 0.022741837901568397, + 0.025536252227140673, + 0.028720725667476642, + 0.03228633420650775, + 0.036212939212857814, + 0.04046936946401033, + 0.045013892517150454, + 0.049794966768584914, + 0.05475225837572817, + 0.059817900409421414, + 0.0649179653313578, + 0.0699741163102255, + 0.0749053981425683, + 0.07963012475156811, + 0.08406781749675207, + 0.08814114691183457, + 0.09177783004054282, + 0.09491243627645742, + 0.09748805651838181, + 0.09945779348427203, + 0.10078603511303379, + 0.10144947802697901, + 0.10143787390697695, + 0.1007544782049617, + 0.09941618772466203, + 0.09745336106790048, + 0.09490932358802415, + 0.09183956612672374, + 0.08831065424828718, + 0.08439887174336957, + 0.08018862867883064, + 0.07577067006060362, + 0.07124012610978471, + 0.0666944491058193, + 0.062231284626462775, + 0.057946326739984025, + 0.053931207236981284, + 0.050271468312473234, + 0.047044666238560885, + 0.04431865054813605, + 0.04215005915322921, + 0.040583064746502716, + 0.03964840190391288, + 0.039362697664549084, + 0.039728121171380554, + 0.040732360388896445, + 0.0423489261543915, + 0.04453777605757913, + 0.04724624306699005, + 0.050410246615317435, + 0.053955757194426204, + 0.057800479555679254, + 0.06185571450663244, + 0.06602835516419255, + 0.07022297046622293, + 0.07434392683114677, + 0.07829749813301314, + 0.08199391464318104, + 0.08534930326510937, + 0.0882874742123081, + 0.09074151317987134, + 0.09265514293930013, + 0.09398382402287998, + 0.09469557061509866, + 0.09477146477460471, + 0.09420585949777316, + 0.09300626872176296, + 0.09119294996417142, + 0.08879819272125004, + 0.08586533281506878, + 0.08244751941911108, + 0.0786062673421189, + 0.07440983216952954, + 0.06993144992936651, + 0.06524748596762328, + 0.06043553961588657, + 0.05557255196799741, + 0.050732963638729894, + 0.04598696777085284, + 0.04139890083144474, + 0.037025809965612326, + 0.03291623095337447, + 0.02910920526440722, + 0.025633558466973207, + 0.022507455479927302, + 0.019738241031271513, + 0.01732256638305286, + 0.01524679608422902, + 0.013487681403792836, + 0.012013280354192312, + 0.010784098008634927, + 0.009754415300264154, + 0.008873769803881704, + 0.008088548258332738, + 0.00734364788244968, + 0.006584161935966113, + 0.005757044517650267, + 0.004812710285889296, + 0.003706526612911588, + 0.002400158595107215, + 0.000862731263550664, + -0.0009282218294878052, + -0.002986048853739785, + -0.005314527717172621, + -0.007907684051522592, + -0.010749884302989758, + -0.013816201869473412, + -0.01707304707981006, + -0.020479044894604184, + -0.023986137698163695, + -0.02754088461237156, + -0.03108592354736655, + -0.03456155784388986, + -0.0379074259698652, + -0.041064210396748006, + -0.04397534056045966, + -0.04658864474037314, + -0.04885790677200508, + -0.050744285719989915, + -0.05221755992434282, + -0.053257161114637394, + -0.05385296945809724, + -0.05400584634077779, + -0.05372788822869738, + -0.05304239195500383, + -0.05198352905541802, + -0.05059573414540017, + -0.04893281961406409, + -0.047056835919046434, + -0.045036703326895626, + -0.0429466468895022, + -0.040864471628016576, + -0.038869719179685326, + -0.03704175044020824, + -0.035457800919515836, + -0.03419105656418278, + -0.033308797655368205, + -0.03287065706675252, + -0.032927036691282496, + -0.033517722276063755, + -0.03467073232614082, + -0.03640143126000298, + -0.03871193075477729, + -0.04159079635876693, + -0.045013069140342386, + -0.04894060456365025, + -0.05332272311866326, + -0.05809715967363748, + -0.06319129124775902, + -0.06852361609956852, + -0.07400545086026297, + -0.07954280706252707, + -0.08503840395826477, + -0.09039377109318816, + -0.09551139179817568, + -0.10029683762481141, + -0.10466084382498801, + -0.10852127725172331, + -0.11180495051080036, + -0.11444923976197743, + -0.11640346816845508, + -0.1176300225128505, + -0.11810517680337083, + -0.11781960363216827, + -0.11677856145042613, + -0.1150017536116523, + -0.11252286281903694, + -0.10938877230531727, + -0.10565849248743191, + -0.10140181879328289, + -0.09669775268539223, + -0.09163272345289916, + -0.08629865297511975, + -0.08079090926525313, + -0.07520619709551626, + -0.06964043532604391, + -0.06418667067920737, + -0.0589330766179234, + -0.05396108372987592, + -0.049343684647032024, + -0.04514395212623579, + -0.041413803592194036, + -0.03819303933130954, + -0.03550867477531834, + -0.033374580094605304, + -0.03179143281072354, + -0.03074698152120425, + -0.030216611294567507, + -0.030164194024545163, + -0.030543200207931283, + -0.03129804239685721, + -0.03236561512485461, + -0.03367699154885873, + -0.03515923349589962, + -0.03673726913813758, + -0.03833579120044198, + -0.039881128459672746, + -0.04130304432377135, + -0.042536418452099344, + -0.04352277063822649, + -0.04421159043766047, + -0.04456144117623981, + -0.044540812888461546, + -0.044128705258619824, + -0.04331492860609884, + -0.042100118193555434, + -0.04049546446072361, + -0.0385221690130387, + -0.03621064314187818, + -0.03359947214791044, + -0.030734174618447515, + -0.02766579092710955, + -0.024449339452181414, + -0.021142182243926555, + -0.017802344031074925, + -0.014486829490071932, + -0.011249983583189635, + -0.008141938507937662, + -0.005207188423905051, + -0.0024833296957057537, + -2.1943931114862457e-17 + ], + [ + 0, + 0.0014182690548351041, + 0.0026541127320424164, + 0.0037096803053114926, + 0.004593551551523369, + 0.005320484142504626, + 0.0059109857733642334, + 0.006390722092300907, + 0.006789775811122167, + 0.007141776300881208, + 0.007482922413010988, + 0.007850924125370945, + 0.008283890821434405, + 0.008819195512454516, + 0.00949234506761759, + 0.010335886505430155, + 0.011378378619661596, + 0.012643456683167341, + 0.01414901572981558, + 0.015906535013476483, + 0.017920562755167253, + 0.020188376301385248, + 0.022699828427515164, + 0.025437385839316404, + 0.02837636106975431, + 0.031485334059325056, + 0.03472675486860427, + 0.03805771432362142, + 0.04143086505489289, + 0.044795471469170754, + 0.04809856378862409, + 0.05128616849203499, + 0.054304585368572626, + 0.05710168000204824, + 0.05962815987943077, + 0.06183880247996648, + 0.06369360464916063, + 0.0651588242742991, + 0.06620788771526945, + 0.06682213954828564, + 0.06699141487619337, + 0.06671441865798113, + 0.0659989011099674, + 0.06486162311977794, + 0.06332811067222048, + 0.061432202389628536, + 0.059215399312967563, + 0.05672603087047552, + 0.054018255479148965, + 0.051150918290011074, + 0.04818629212029077, + 0.04518873052688485, + 0.04222326419332512, + 0.03935417327149548, + 0.03664356900234232, + 0.03415001781891538, + 0.03192724021203095, + 0.030022914935136074, + 0.028477616681179457, + 0.027323912239233836, + 0.026585636407778494, + 0.026277364695297498, + 0.026404095180226368, + 0.026961146944427496, + 0.02793427735779524, + 0.029300015301154083, + 0.031026202296502034, + 0.033072728592246727, + 0.035392446645921956, + 0.03793224026968284, + 0.04063422405587451, + 0.043437044669311115, + 0.04627725325259183, + 0.049090716596828066, + 0.05181403392023872, + 0.054385926089608023, + 0.05674856491331465, + 0.058848811708621426, + 0.06063933666010534, + 0.0620795934823949, + 0.06313662750392934, + 0.0637856994096953, + 0.06401071141764235, + 0.06380442750353459, + 0.06316848431290423, + 0.06211319448278219, + 0.06065714911499898, + 0.058826630973951556, + 0.05665485450657807, + 0.05418105289045402, + 0.0514494359075291, + 0.04850804542916805, + 0.045407537611063684, + 0.04219992247935817, + 0.03893729240526023, + 0.035670570996984056, + 0.032448313186880524, + 0.029315585779520356, + 0.026312955493424488, + 0.02347560863316056, + 0.020832623044049682, + 0.01840640901765811, + 0.016212331433736987, + 0.014258520754222131, + 0.012545875645124785, + 0.011068255114486251, + 0.00981285324180449, + 0.008760744957160123, + 0.007887587022233956, + 0.007164454478078787, + 0.006558789452784676, + 0.006035436449858053, + 0.005557736133865667, + 0.0050886482454443995, + 0.004591873646769487, + 0.004032945635654955, + 0.003380261566949882, + 0.002606027459914368, + 0.0016870906073450367, + 0.0006056381763900495, + -0.0006502566737338392, + -0.002086255625611043, + -0.003701553082156609, + -0.005488856549524232, + -0.007434550210487347, + -0.009519037581695599, + -0.011717254458143311, + -0.013999338879890983, + -0.016331440723154473, + -0.01867664982551975, + -0.02099601839742912, + -0.023249650929984624, + -0.025397832947866007, + -0.027402168824026088, + -0.029226698499762425, + -0.030838963350675184, + -0.03221099259744495, + -0.03332018355269339, + -0.03415005157532562, + -0.03469082880824553, + -0.0349398945249577, + -0.03490202411227546, + -0.03458944826558192, + -0.03402171875638263, + -0.033225382029684114, + -0.03223346677837975, + -0.031084796400591454, + -0.029823141754119684, + -0.028496233766068406, + -0.027154659130476978, + -0.025850665439008273, + -0.02463690455982126, + -0.023565144843915562, + -0.022684983750118463, + -0.0220425927117384, + -0.02167952551129698, + -0.021631620095789394, + -0.02192802168405696, + -0.022590352239093975, + -0.02363204796788258, + -0.02505788255184425, + -0.026863689398178958, + -0.029036291443597918, + -0.03155364205338306, + -0.034385175462353056, + -0.037492360125131054, + -0.0408294434058226, + -0.04434437136329723, + -0.04797986309293921, + -0.051674615275027466, + -0.055364609348170765, + -0.058984491153670215, + -0.06246899104745079, + -0.06575435139675835, + -0.06877972809677702, + -0.0714885332657924, + -0.07382968759481436, + -0.07575875290758576, + -0.07723891827977473, + -0.07824181650453557, + -0.07874815169233518, + -0.07874812325897677, + -0.07824163637868851, + -0.07723829404178685, + -0.07575717103572328, + -0.0738263753383538, + -0.07148240744736667, + -0.06876933294763204, + -0.06573778802280845, + -0.062443841542044555, + -0.05894774070209655, + -0.05531256989878595, + -0.05160285447475581, + -0.047883142195972256, + -0.04421659571919821, + -0.04066362891817261, + -0.03728061874858188, + -0.03411872238166769, + -0.03122282667276704, + -0.028630653720848425, + -0.026372042400703347, + -0.02446842140701321, + -0.022932484646589122, + -0.021768074867849506, + -0.02097027634703913, + -0.02052571238357544, + -0.02041303841665878, + -0.020603616882971156, + -0.021062355605593514, + -0.021748687642673663, + -0.022617667224555254, + -0.023621153749622086, + -0.02470905385553914, + -0.025830590379823756, + -0.0269355665989688, + -0.027975594496523946, + -0.02890525694595635, + -0.029683175572881457, + -0.030272958634113514, + -0.030644006451473804, + -0.03077215568451978, + -0.03064014792297559, + -0.03023791262030273, + -0.029562659159824693, + -0.028618777723911377, + -0.027417553502242335, + -0.025976703504982747, + -0.024319749722335884, + -0.02247524648146574, + -0.02047588349266594, + -0.018357489158251746, + -0.016157961163513968, + -0.013916153118804115, + -0.011670747032584288, + -0.009459141642870122, + -0.007316386113923223, + -0.005274187330629694, + -0.0033600170280198836, + -0.0015963423292228531, + -1.4054791784244497e-17 + ], + [ + 0, + 0.0006774154348008294, + 0.0012641256628124367, + 0.001762857204179269, + 0.002179491650953533, + 0.002522890241183943, + 0.0028046336937407306, + 0.003038684088252938, + 0.0032409776256858373, + 0.0034289589320762657, + 0.003621069124183686, + 0.003836201101506779, + 0.0040931364322503265, + 0.004409978737992953, + 0.004803598638779262, + 0.005289105092468249, + 0.005879357354417894, + 0.0065845308105370965, + 0.0074117486221574914, + 0.00836478949745381, + 0.009443880011473322, + 0.010645577782242809, + 0.011962749526577679, + 0.013384645623136505, + 0.014897070361882453, + 0.016482644619797426, + 0.01812115533371367, + 0.0197899839021164, + 0.021464603595250813, + 0.023119134238822826, + 0.02472694090716712, + 0.026261262156127632, + 0.027695852475234883, + 0.02900562316548874, + 0.03016726576623674, + 0.03115984246568642, + 0.03196532862812338, + 0.03256909364092393, + 0.032960307700694226, + 0.033132263886443615, + 0.03308260686690678, + 0.03281346181047708, + 0.032331459455614595, + 0.03164765579869835, + 0.03077734740392088, + 0.0297397858734818, + 0.028557797473752755, + 0.02725731623375484, + 0.025866840958964982, + 0.02441682848358698, + 0.02293903707139884, + 0.021465835129673358, + 0.020029491291134422, + 0.018661462423019914, + 0.01739169622709829, + 0.016247964796736285, + 0.015255244803518371, + 0.01443515891286403, + 0.013805491601282173, + 0.013379790801735814, + 0.013167064780297706, + 0.013171581395908577, + 0.013392774470245188, + 0.01382525945537965, + 0.01445895799478072, + 0.01527932839128874, + 0.01626769648674649, + 0.017401679082951337, + 0.018655689850167363, + 0.0200015157305562, + 0.02140895019647286, + 0.022846468407405365, + 0.024281928356025616, + 0.025683281526078166, + 0.02701927641589767, + 0.028260138514663764, + 0.029378210947663345, + 0.030348541015708542, + 0.031149399217061363, + 0.03176271902365602, + 0.032174447645226534, + 0.03237480020647988, + 0.03235841212949635, + 0.03212438699766314, + 0.031676239717443544, + 0.031021737327704014, + 0.030172642270981084, + 0.02914436527662879, + 0.0279555371551979, + 0.026627510714343695, + 0.025183805632719682, + 0.023649510430514928, + 0.022050656622459166, + 0.020413580709040875, + 0.018764289841533624, + 0.017127846783098626, + 0.01552778918835739, + 0.013985597253649031, + 0.012520222475081751, + 0.011147688625377083, + 0.00988077416496548, + 0.008728783186009894, + 0.007697409703627258, + 0.006788697714204537, + 0.006001096996674133, + 0.0053296122003270805, + 0.004766040403209706, + 0.004299290097425018, + 0.003915772517406819, + 0.0035998544253075288, + 0.0033343599488472055, + 0.0031011078689400264, + 0.002881469906671628, + 0.0026569350824363143, + 0.0024096651256013037, + 0.002123026202666858, + 0.0017820828976027275, + 0.0013740414024724413, + 0.0008886302332096567, + 0.00031840843973976815, + -0.00034100681067042194, + -0.001090799281526405, + -0.0019289030820290572, + -0.0028500438195401185, + -0.00384587046049072, + -0.004905174496517112, + -0.006014190724499502, + -0.007156971805223879, + -0.008315826820114064, + -0.009471812348442113, + -0.010605263181953133, + -0.011696348715948554, + -0.012725640333360494, + -0.013674674750097489, + -0.014526498325424207, + -0.01526617776019261, + -0.015881263398552253, + -0.016362192496111653, + -0.01670262129123575, + -0.016899676479842255, + -0.01695411870395468, + -0.01687041287038117, + -0.01665670246319908, + -0.01632468744358101, + -0.015889407782053142, + -0.015368937080023284, + -0.014783993048712956, + -0.014157473766214597, + -0.013513930572846434, + -0.012878990142071653, + -0.012278739636196336, + -0.011739089887578547, + -0.01128513221028627, + -0.010940504726232422, + -0.010726783975522734, + -0.010662917074566316, + -0.010764708798639687, + -0.011044376718762712, + -0.01151018594559731, + -0.012166173163534891, + -0.013011967521430804, + -0.01404271363401952, + -0.015249099496294384, + -0.016617489582015612, + -0.018130160849040695, + -0.01976563687093567, + -0.021499112917903282, + -0.023302962579503168, + -0.025147314512032216, + -0.0270006861544903, + -0.028830659831945184, + -0.030604585589320665, + -0.032290294399129664, + -0.03385680508123272, + -0.035275008369413725, + -0.036518312056703583, + -0.037563232037358105, + -0.03838991531711552, + -0.038982582654667836, + -0.03932988038775228, + -0.039425133141123066, + -0.03926649145889285, + -0.03885697089338395, + -0.038204381656202026, + -0.03732115053217924, + -0.0362240393100479, + -0.034933766433149493, + -0.03347454085966306, + -0.031873519189273114, + -0.030160198911798494, + -0.02836576211958902, + -0.026522385163658378, + -0.02466253049631529, + -0.022818237312454203, + -0.021020427569300653, + -0.019298243531761034, + -0.017678432168914304, + -0.016184790537415564, + -0.014837684759504923, + -0.013653653375010852, + -0.012645103763617256, + -0.011820108047312839, + -0.011182302449856315, + -0.010730891570278511, + -0.010460756482916634, + -0.010362663069753947, + -0.01042356458336773, + -0.01062699018944651, + -0.010953509201475461, + -0.011381258946277313, + -0.011886522730514146, + -0.012444343250234474, + -0.013029156024817008, + -0.013615427060783166, + -0.01417827896792121, + -0.014694090158208543, + -0.0151410525456673, + -0.01549967431166317, + -0.015753215775512197, + -0.015888048176730233, + -0.015893927187820657, + -0.01576417518408378, + -0.015495768643735973, + -0.015089329478477045, + -0.014549021540496565, + -0.013882355955364464, + -0.013099911231087327, + -0.012214976234295285, + -0.011243126051625254, + -0.010201742419907829, + -0.009109491771397924, + -0.007985774966332994, + -0.006850163449371655, + -0.0057218368528917625, + -0.004619036972158901, + -0.003558552558133225, + -0.0025552485258623285, + -0.0016216519819784133, + -0.0007676059644469579, + -6.734692708291519e-18 + ], + [ + 0, + 6.016390498453092e-18, + 1.1199603539593065e-17, + 1.559017886370091e-17, + 1.9257239773958414e-17, + 2.229641500382736e-17, + 2.4827004775959874e-17, + 2.698846538686041e-17, + 2.893630461065196e-17, + 3.083749582828554e-17, + 3.286553165683235e-17, + 3.519524764745359e-17, + 3.7997553087756365e-17, + 4.143420891556367e-17, + 4.5652792145524936e-17, + 5.078198203627164e-17, + 5.692729558255246e-17, + 6.416738898991927e-17, + 7.255102784784558e-17, + 8.209481210556537e-17, + 9.278172308596529e-17, + 1.0456053911645112e-16, + 1.1734614442743105e-16, + 1.3102073331736546e-16, + 1.454358887758467e-16, + 1.6041549236559918e-16, + 1.7575940075401702e-16, + 1.9124780439503423e-16, + 2.066461659959913e-16, + 2.217106210156068e-16, + 2.361937099212067e-16, + 2.498503026083766e-16, + 2.624435694977139e-16, + 2.7375085152990506e-16, + 2.835692826514096e-16, + 2.9172102339711007e-16, + 2.980579727213974e-16, + 3.0246583710537373e-16, + 3.0486745089220635e-16, + 3.0522525941599246e-16, + 3.035428963652688e-16, + 2.9986580847706206e-16, + 2.9428090356267246e-16, + 2.869152214617249e-16, + 2.779336512278022e-16, + 2.675357410846177e-16, + 2.5595166988421765e-16, + 2.4343746940073696e-16, + 2.302696052956126e-16, + 2.1673904053459176e-16, + 2.0314491802714803e-16, + 1.8978800897105129e-16, + 1.7696407957465293e-16, + 1.6495733133931058e-16, + 1.540340688464246e-16, + 1.4443674403216401e-16, + 1.363785173635895e-16, + 1.3003846435674104e-16, + 1.2555754078808754e-16, + 1.230354021098244e-16, + 1.2252815241884954e-16, + 1.240470763377493e-16, + 1.2755838387783712e-16, + 1.3298397433503484e-16, + 1.4020320110305183e-16, + 1.4905559556234778e-16, + 1.5934448549442017e-16, + 1.7084142233063876e-16, + 1.8329131248625824e-16, + 1.9641813151518024e-16, + 2.099310862489631e-16, + 2.2353107978142134e-16, + 2.369173273747041e-16, + 2.4979396825429533e-16, + 2.6187651889906223e-16, + 2.7289801779647934e-16, + 2.8261471960935865e-16, + 2.908112080873077e-16, + 2.973048115686948e-16, + 3.0194922219599e-16, + 3.0463723958028173e-16, + 3.0530258111440633e-16, + 3.039207239185041e-16, + 3.005087669455144e-16, + 2.9512432549809744e-16, + 2.8786349373032164e-16, + 2.7885793305584824e-16, + 2.6827116521316107e-16, + 2.562941675400706e-16, + 2.4314038432789546e-16, + 2.2904028156632382e-16, + 2.1423558263093948e-16, + 1.989733292645714e-16, + 1.8349991540456888e-16, + 1.680552409438985e-16, + 1.5286712840866177e-16, + 1.3814613790264096e-16, + 1.2408090471248164e-16, + 1.108341099689364e-16, + 9.853917807906564e-17, + 8.729777570621087e-17, + 7.71781663590011e-17, + 6.821445268091434e-17, + 6.040671586156754e-17, + 5.372203878969302e-17, + 4.8096377207708497e-17, + 4.343722176861894e-17, + 3.962697407142171e-17, + 3.652694195550878e-17, + 3.398184401034608e-17, + 3.1824700783905044e-17, + 2.9881980859701285e-17, + 2.797886404593146e-17, + 2.5944481523801593e-17, + 2.3616993989538237e-17, + 2.0848373559498374e-17, + 1.750876336479307e-17, + 1.3490300129525488e-17, + 8.710299313116926e-18, + 3.1137192370004017e-18, + -3.3251604201064076e-18, + -1.0601889768671503e-17, + -1.868185178365348e-17, + -2.7501117306515213e-17, + -3.6968129682605824e-17, + -4.6966175019344706e-17, + -5.735657344518147e-17, + -6.798250778538264e-17, + -7.867338923090749e-17, + -8.924964529027302e-17, + -9.952780394664636e-17, + -1.0932573978542221e-16, + -1.1846794312264457e-16, + -1.267906719772626e-16, + -1.3414684912663473e-16, + -1.4041057241109954e-16, + -1.4548111576707823e-16, + -1.4928631094102754e-16, + -1.517852151608098e-16, + -1.5296998783677172e-16, + -1.5286691918943775e-16, + -1.5153657505993984e-16, + -1.4907304451941572e-16, + -1.4560229969486302e-16, + -1.4127969989935888e-16, + -1.3628669412435056e-16, + -1.3082679666732126e-16, + -1.2512092960630662e-16, + -1.1940224251332203e-16, + -1.1391053379700493e-16, + -1.0888640902185886e-16, + -1.0456531918355286e-16, + -1.0117162602509316e-16, + -9.89128419429748e-17, + -9.797418883155621e-17, + -9.851361341481103e-17, + -1.0065738637370627e-16, + -1.0449639913695013e-16, + -1.1008325588476567e-16, + -1.174302395137461e-16, + -1.2650820948214049e-16, + -1.372464671066015e-16, + -1.4953360055967288e-16, + -1.632192980934366e-16, + -1.7811709447110303e-16, + -1.9400799280407658e-16, + -2.1064488252849912e-16, + -2.2775765464239205e-16, + -2.450588980476149e-16, + -2.6225004632832853e-16, + -2.79027832910902e-16, + -2.9509090457410017e-16, + -3.1014643891449566e-16, + -3.2391661073347125e-16, + -3.3614475542071383e-16, + -3.4660108419471615e-16, + -3.550878163630021e-16, + -3.614436073370263e-16, + -3.655471676518383e-16, + -3.673199872993254e-16, + -3.667281008242596e-16, + -3.6378285134144313e-16, + -3.585406353583237e-16, + -3.511016344538965e-16, + -3.416075638840738e-16, + -3.3023849147211226e-16, + -3.172088021342805e-16, + -3.0276240355172945e-16, + -2.871672863405625e-16, + -2.7070956716134294e-16, + -2.536871551825705e-16, + -2.364031908821141e-16, + -2.1915941113209424e-16, + -2.022495957507732e-16, + -1.8595324819525748e-16, + -1.7052965687908454e-16, + -1.5621247388679593e-16, + -1.4320493486734258e-16, + -1.3167582794392606e-16, + -1.217563009755319e-16, + -1.1353757590352572e-16, + -1.07069616724223e-16, + -1.023607743928061e-16, + -9.937840825729028e-17, + -9.805046002597119e-17, + -9.826793336660629e-17, + -9.988821058090013e-17, + -1.027391179221826e-16, + -1.0662363351093301e-16, + -1.113251168785435e-16, + -1.1661292729356846e-16, + -1.2224828947971194e-16, + -1.2799026032077797e-16, + -1.33601648776847e-16, + -1.3885474352946894e-16, + -1.435367087622247e-16, + -1.4745451780807485e-16, + -1.5043930691291777e-16, + -1.5235004675344262e-16, + -1.5307644721352108e-16, + -1.5254103081329106e-16, + -1.507003315954054e-16, + -1.4754519866356639e-16, + -1.4310020637599505e-16, + -1.3742219584823176e-16, + -1.3059799434800529e-16, + -1.2274137982135599e-16, + -1.1398937665820492e-16, + -1.044979854171933e-16, + -9.443746317135435e-17, + -8.398728206307215e-17, + -7.333090130008761e-17, + -6.265049199807375e-17, + -5.212175488092305e-17, + -4.19089678785978e-17, + -3.2160394195314494e-17, + -2.300417162688395e-17, + -1.4544791037752306e-17, + -6.860256295321934e-18, + -5.999039130647426e-32 + ] + ], + "z": [ + [ + 2, + 2.130332796838008, + 2.256753911784933, + 2.376789638294702, + 2.488075604138452, + 2.588407808013885, + 2.675789958185559, + 2.7484760201951044, + 2.805006995826015, + 2.8442410940625464, + 2.865376613357637, + 2.867967029244015, + 2.8519279679163567, + 2.817535940324214, + 2.7654189078139355, + 2.696538944653189, + 2.6121674501337298, + 2.5138535388224583, + 2.403386397651281, + 2.2827525390293038, + 2.154088996640754, + 2.0196336022438546, + 1.8816735454341926, + 1.7424934524981004, + 1.6043242244022853, + 1.4692938476366197, + 1.3393813357838407, + 1.2163748757950643, + 1.1018351431545763, + 0.9970646172067862, + 0.9030835752431645, + 0.8206132753387548, + 0.7500666576036418, + 0.6915467059718643, + 0.6448524225548543, + 0.6094921786570255, + 0.5847040254418049, + 0.5694823774212108, + 0.5626103276043474, + 0.562696718068872, + 0.568216977215646, + 0.5775566477621683, + 0.589056469720342, + 0.6010578515962625, + 0.6119475615298626, + 0.6202004980084016, + 0.6244194563522353, + 0.6233708908814289, + 0.616015781348306, + 0.6015348430632947, + 0.5793474697981014, + 0.5491239632035355, + 0.5107907779410832, + 0.4645286935439924, + 0.4107640075879514, + 0.35015302541788323, + 0.28356029487838363, + 0.21203119585578453, + 0.13675963988628234, + 0.05905176094738821, + -0.019713418345185477, + -0.09812528316559538, + -0.17478377313093832, + -0.2483412449370153, + -0.3175429240306221, + -0.3812648546229005, + -0.43854832164009483, + -0.4886298089205054, + -0.5309656728128324, + -0.5652508464155105, + -0.5914310435863067, + -0.6097080996627086, + -0.6205382633289118, + -0.6246234367591293, + -0.6228955444384521, + -0.6164943902707143, + -0.606739533182977, + -0.5950968690939954, + -0.5831407478136716, + -0.5725125735862396, + -0.564876934495972, + -0.5618763763227153, + -0.5650859788187031, + -0.5759689056289827, + -0.5958340827741818, + -0.6257971150739303, + -0.6667454761620001, + -0.7193089075868944, + -0.7838358383252534, + -0.860376490885721, + -0.9486731776038657, + -1.0481581147228927, + -1.157958896762308, + -1.2769115840757097, + -1.4035811670905025, + -1.536288986213304, + -1.6731465113714492, + -1.8120947240139385, + -1.9509482011513046, + -2.0874428792756796, + -2.2192863788470563, + -2.3442096999359485, + -2.4600190583883133, + -2.5646466206285163, + -2.656198914305576, + -2.733001741033373, + -2.793640495355376, + -2.8369948989436145, + -2.8622672884173284, + -2.8690037459293434, + -2.8571075301766835, + -2.8268444476640338, + -2.778839995460327, + -2.714068302683439, + -2.633833093751007, + -2.5397410872713246, + -2.433668425658943, + -2.3177208977183823, + -2.194188865460708, + -2.0654979336576758, + -1.9341565029841026, + -1.8027014225470428, + -1.673643003315771, + -1.5494106693307361, + -1.432300508206476, + -1.3244259367287958, + -1.2276726223996803, + -1.143658699438247, + -1.0737011905070444, + -1.0187893964125891, + -0.9795658488710625, + -0.9563152402204208, + -0.9489615531250435, + -0.9570734175169213, + -0.9798775260235782, + -1.0162797477220724, + -1.0648933978872752, + -1.1240739528948953, + -1.191959348678073, + -1.2665148717614474, + -1.3455815470181587, + -1.426926848416447, + -1.5082965099775545, + -1.5874661950782214, + -1.662291793481848, + -1.7307571567074012, + -1.791018152441967, + -1.8414420158585025, + -1.880641097439626, + -1.9075002501526428, + -1.9211972599688287, + -1.9212158987340744, + -1.9073513629076277, + -1.8797080510947568, + -1.8386898229007402, + -1.7849830667268025, + -1.7195330801350512, + -1.643514428987137, + -1.558296096711596, + -1.4654023592217986, + -1.3664704211642016, + -1.2632059229044617, + -1.1573374731997923, + -1.0505713788099913, + -0.9445477290492286, + -0.8407989508968838, + -0.7407118799175634, + -0.645494295734913, + -0.5561467506582967, + -0.47344037936217304, + -0.39790121986060634, + -0.3298014054193769, + -0.2691574078403067, + -0.21573532928103656, + -0.16906305707992222, + -0.1284489185605246, + -0.09300630497914189, + -0.06168357988930772, + -0.03329845111287882, + -0.006575870661041266, + 0.019811563763794626, + 0.04720179634599987, + 0.07690121672611482, + 0.11014341376919395, + 0.14804989189739776, + 0.19159381192176567, + 0.24156774056072752, + 0.29855628972809545, + 0.3629144008106004, + 0.43475188370873713, + 0.5139246590543266, + 0.60003297881744, + 0.6924267198491046, + 0.7902176613420437, + 0.8922984753753752, + 0.9973679842477005, + 1.1039620736499134, + 1.210489501072855, + 1.3152717080029064, + 1.4165856357825461, + 1.5127084613030342, + 1.601963112132467, + 1.682763392766697, + 1.7536575552108429, + 1.8133691781075414, + 1.8608342784386231, + 1.8952336670319472, + 1.9160196716095936, + 1.922936486185448, + 1.916033559958485, + 1.895671608663898, + 1.8625210124541185, + 1.8175525523118523, + 1.762020627093329, + 1.6974392808435306, + 1.6255515503499745, + 1.5482928115106325, + 1.4677489557673422, + 1.3861103607672236, + 1.3056227292110403, + 1.2285359537427785, + 1.1570522215788412, + 1.0932745989052495, + 1.0391573311513418, + 0.9964590610873105, + 0.9667001030453637, + 0.9511248199133455, + 0.9506700320705619, + 0.9659402469434338, + 0.9971903377389502, + 1.0443161240403631, + 1.1068531195884053, + 1.1839835182767917, + 1.2745512928931142, + 1.3770850872253881, + 1.489828395561497, + 1.61077634889063, + 1.7377182685412587, + 1.868285009436098, + 1.9999999999999987 + ], + [ + 2.0918833918127375, + 2.220837794218755, + 2.344259914887943, + 2.4597370308582525, + 2.5649977042183587, + 2.657960734972634, + 2.736779746720657, + 2.7998823772730286, + 2.8460031757078474, + 2.8742094582391693, + 2.883919543933573, + 2.8749129736538097, + 2.84733250717748, + 2.801677889559804, + 2.738791573701678, + 2.659836776976977, + 2.5662684310239836, + 2.45979775101499, + 2.342351299835696, + 2.216025550032304, + 2.083038049057366, + 1.9456763688167729, + 1.8062460670136273, + 1.6670189042397519, + 1.5301825468628176, + 1.3977929419250008, + 1.2717304776725906, + 1.153660943846501, + 1.0450021820120727, + 0.9468971711194766, + 0.8601941308079342, + 0.7854340487687614, + 0.7228458531603885, + 0.6723492612351014, + 0.6335651457058452, + 0.6058330756495923, + 0.5882355134769512, + 0.5796279880157202, + 0.5786744200266037, + 0.5838866540094944, + 0.5936671519486121, + 0.6063537330539815, + 0.6202652002862374, + 0.6337466804926718, + 0.64521352059225, + 0.6531926269444629, + 0.6563602076137602, + 0.653574975795335, + 0.6439059946500445, + 0.6266544860748317, + 0.6013690848754866, + 0.5678541913642802, + 0.5261712552189497, + 0.4766330069535959, + 0.4197908359212798, + 0.3564156907769306, + 0.28747304530691586, + 0.2140926252644645, + 0.13753372648628756, + 0.05914706771198671, + -0.019665789665915007, + -0.09749436046273734, + -0.17296136462471862, + -0.24476393257263826, + -0.31171277735275166, + -0.372768276523337, + -0.42707248643245793, + -0.47397621644282223, + -0.5130604180851722, + -0.5441512908558708, + -0.5673286687122783, + -0.5829274251605023, + -0.5915318157803515, + -0.5939628605148796, + -0.5912590494212142, + -0.5846508302376766, + -0.5755294996345505, + -0.5654112682216883, + -0.5558973985031683, + -0.5486314216890218, + -0.5452545208449177, + -0.5473602221573614, + -0.5564495616693248, + -0.5738878909713407, + -0.6008644520243276, + -0.6383557892880606, + -0.6870939780981391, + -0.7475405339230612, + -0.819866730521655, + -0.9039408994523177, + -0.9993231126826086, + -1.1052674684198744, + -1.220732012221685, + -1.3443961356102592, + -1.474685107524109, + -1.6098012146463725, + -1.7477608194289307, + -1.886436493670522, + -2.0236032545983598, + -2.1569878228507164, + -2.284319740295273, + -2.403383132338803, + -2.512067875688849, + -2.608418939090664, + -2.6906827013106405, + -2.7573491167528177, + -2.807188693035342, + -2.8392833643872937, + -2.853050486987476, + -2.848259343926195, + -2.8250397244187306, + -2.7838823299415156, + -2.7256309545263067, + -2.651466582795429, + -2.5628837426642175, + -2.4616596352554474, + -2.349816737929789, + -2.229579733197622, + -2.103327752803413, + -1.9735430391224216, + -1.8427572124169354, + -1.7134963903483176, + -1.588226434012619, + -1.4692995919764495, + -1.3589037804013322, + -1.2590156741729583, + -1.1713586925401287, + -1.0973668453503873, + -1.0381552654154858, + -0.9944980922846803, + -0.9668141966626702, + -0.9551610471810107, + -0.9592368267939514, + -0.9783907094641843, + -1.0116410138213918, + -1.0577007638377283, + -1.1150100118046549, + -1.1817741202526957, + -1.2560070607663636, + -1.3355786722516485, + -1.4182647318766854, + -1.5017986307467535, + -1.583923414814642, + -1.6624429502590161, + -1.7352710015317103, + -1.8004770686805165, + -1.8563279168743896, + -1.901323843084283, + -1.9342288597682933, + -1.954094129777405, + -1.9602741566687676, + -1.9524354159397732, + -1.9305573008601167, + -1.8949254469030181, + -1.8461176865406583, + -1.7849830667268023, + -1.7126145302849034, + -1.6303160154963268, + -1.5395648616864643, + -1.441970519277953, + -1.3392306479367173, + -1.2330857440368235, + -1.12527346736373, + -1.017483836136462, + -0.9113164291702436, + -0.8082406751691188, + -0.7095602232934435, + -0.6163822785229086, + -0.5295926527807725, + -0.44983713169350487, + -0.37750959108457866, + -0.3127471210567257, + -0.2554322332753898, + -0.20520204344309292, + -0.16146414059516978, + -0.1234186823087993, + -0.0900860945557176, + -0.06033961078971068, + -0.032941760576841804, + -0.006583816780878787, + 0.0200728654406756, + 0.04835473288687367, + 0.07953427652001971, + 0.11478975684083488, + 0.15516749923759224, + 0.2015477797705843, + 0.2546152292469411, + 0.3148345669097035, + 0.3824323375506611, + 0.45738517083040464, + 0.5394149129662515, + 0.6279908029900343, + 0.7223386829824179, + 0.82145704868419, + 0.9241395683043047, + 1.0290035277196263, + 1.1345235039036579, + 1.2390694293153024, + 1.3409480916799654, + 1.4384470191441758, + 1.5298796326271675, + 1.6136305071199197, + 1.6881995727835926, + 1.7522441053363136, + 1.804617403012155, + 1.8444031232201934, + 1.8709443541126192, + 1.8838666221172171, + 1.8830941830301022, + 1.8688591079053616, + 1.841702851690574, + 1.8024701779773369, + 1.7522955027736227, + 1.69258190915661, + 1.6249732683309532, + 1.551320076419011, + 1.473639775902057, + 1.3940724720125741, + 1.3148330739878562, + 1.2381609859065619, + 1.1662685394207637, + 1.1012893993143662, + 1.045228181423282, + 0.9999125007424896, + 0.9669486159660428, + 0.9476817564420484, + 0.9431621104686054, + 0.9541173225648276, + 0.9809321949808277, + 1.023636118942719, + 1.0818985780778492, + 1.1550328745784189, + 1.2420080326082963, + 1.3414686380162626, + 1.4517621833579633, + 1.5709733071896912, + 1.6969641509808426, + 1.8274199098483423, + 1.9598985282465429, + 2.091883391812736 + ], + [ + 2.1829894085530297, + 2.3094685569379836, + 2.428829939403708, + 2.538742241419929, + 2.6370461969756547, + 2.721801043522426, + 2.7913259774585035, + 2.844235656054852, + 2.879468934248715, + 2.8963101866331558, + 2.894402742298232, + 2.8737541486032225, + 2.834733174882783, + 2.77805866376104, + 2.704780531376074, + 2.6162534036922818, + 2.5141035496845547, + 2.400189929307395, + 2.276560311015218, + 2.1454035268815415, + 2.0089990203625434, + 1.8696649004027999, + 1.7297057445260262, + 1.5913613921625183, + 1.4567579378563213, + 1.3278620730311892, + 1.2064398362587938, + 1.0940207177302674, + 0.9918679267723209, + 0.9009554752131078, + 0.8219525580982149, + 0.7552155309596845, + 0.7007875940894032, + 0.6584061037503197, + 0.6275172426959509, + 0.6072976023973184, + 0.5966820614349793, + 0.5943971927312728, + 0.5989993003926866, + 0.6089160781199926, + 0.6224907980583378, + 0.6380278835881509, + 0.6538386931928818, + 0.6682863457474187, + 0.6798284501784133, + 0.6870566635477483, + 0.6887320895856365, + 0.6838156422639579, + 0.671492633255929, + 0.6511909946393347, + 0.62259271508014, + 0.5856382447399439, + 0.5405238067955586, + 0.4876917371178798, + 0.42781415368673154, + 0.36177042917200497, + 0.2906190994531743, + 0.21556498366231455, + 0.13792241402250993, + 0.059075573225947434, + -0.019562989147715384, + -0.09659454348462022, + -0.1706759351124881, + -0.2405597839486633, + -0.30513204592780224, + -0.3634459217044302, + -0.41475119261385907, + -0.4585181820755601, + -0.49445567954971936, + -0.5225223203003114, + -0.5429310836307727, + -0.5561467506582961, + -0.5628763455670633, + -0.5640527669995951, + -0.5608119941780267, + -0.5544644209778413, + -0.5464610262177475, + -0.5383552259294035, + -0.5317613698127228, + -0.5283109364734655, + -0.5296075479853862, + -0.537181962084659, + -0.5524482088584856, + -0.5766620178318785, + -0.6108826313244948, + -0.6559390220096871, + -0.7124014286279744, + -0.7805589963091454, + -0.8604041600566134, + -0.9516242452759796, + -1.053600581845209, + -1.1654152425106175, + -1.2858653269527132, + -1.4134845244038454, + -1.5465715049072388, + -1.6832245167454407, + -1.8213814095535736, + -1.9588641631352728, + -2.093426884533214, + -2.222806143450172, + -2.3447724510357224, + -2.45718165104181, + -2.558024986385399, + -2.6454766284761893, + -2.7179375107629595, + -2.774074390577994, + -2.8128531725650086, + -2.8335656601525474, + -2.8358490554779285, + -2.819697699156186, + -2.7854667251782947, + -2.7338674985445492, + -2.665954899309792, + -2.583106711756814, + -2.4869955666616175, + -2.379554063445153, + -2.2629338630472775, + -2.13945968759543, + -2.011579285815753, + -1.8818105206369133, + -1.7526868051747038, + -1.6267021535462982, + -1.5062571227548192, + -1.393606900962124, + -1.2908127463365513, + -1.1996979005677773, + -1.121808994037991, + -1.0583838281415754, + -1.0103262675658762, + -0.9781888052116776, + -0.9621631789969062, + -0.9620792275274342, + -0.9774119752232351, + -1.0072967417426861, + -1.0505518802176632, + -1.1057085685244135, + -1.1710469119454991, + -1.2446374681422903, + -1.3243871799139029, + -1.408088600779961, + -1.493471225385283, + -1.5782536928019295, + -1.6601956169957468, + -1.7371478152869253, + -1.8070997520747962, + -1.8682230901892278, + -1.9189103440445812, + -1.957807754721301, + -1.9838416540106059, + -1.9962377486425904, + -1.9945329332734698, + -1.978579426912216, + -1.9485412176930432, + -1.9048829905289129, + -1.8483518965188237, + -1.7799526974766566, + -1.700916979304661, + -1.6126672702145666, + -1.5167770205258477, + -1.4149274970102697, + -1.308862714186609, + -1.2003435659548072, + -1.0911023325624138, + -0.9827987199211321, + -0.8769785412796217, + -0.7750360764762715, + -0.678181043400779, + -0.5874109924864116, + -0.5034897912118406, + -0.42693270538606537, + -0.35799841149892564, + -0.296688094021943, + -0.24275159781077066, + -0.19570042333939783, + -0.15482717599723836, + -0.11923091455811669, + -0.08784769237483862, + -0.05948545168347185, + -0.032862319970965, + -0.006647270472054828, + 0.020497951299412273, + 0.04987676500377052, + 0.08271668982181998, + 0.1201303823907042, + 0.16307983038008178, + 0.21234467206267044, + 0.2684955055514235, + 0.3318729224040923, + 0.40257285229324985, + 0.4804386421456262, + 0.5650601186959985, + 0.6557797021899248, + 0.7517054555917129, + 0.8517307727540591, + 0.9545602351716648, + 1.0587410045880712, + 1.162698971985586, + 1.2647787561088055, + 1.3632865399176661, + 1.456534653938841, + 1.542886763455366, + 1.6208024932314187, + 1.6888803296800317, + 1.7458976759776408, + 1.790846999806345, + 1.8229671046406726, + 1.841768671589063, + 1.8470533569238434, + 1.8389258872029461, + 1.8177987654453964, + 1.784389383936371, + 1.7397095273992635, + 1.6850474398139712, + 1.621942814369544, + 1.5521552442745188, + 1.4776268379561324, + 1.400439851405387, + 1.3227703193151579, + 1.2468387719556968, + 1.1748592037561367, + 1.1089875102752245, + 1.0512706313103235, + 1.0035976286999644, + 0.967653888058279, + 0.9448795651190741, + 0.9364333011658393, + 0.9431621104686051, + 0.9655781986547369, + 1.0038433079814901, + 1.0577610074984842, + 1.1267771574087866, + 1.2099885821478111, + 1.3061597905457445, + 1.4137473887072767, + 1.5309316466393121, + 1.6556545076953069, + 1.7856631747916096, + 1.9185582728835868, + 2.0518454766619594, + 2.1829894085530284 + ], + [ + 2.272547252093312, + 2.395475228637213, + 2.5097484846564537, + 2.613136850148115, + 2.7036115195592982, + 2.779388615764862, + 2.838967164604605, + 2.8811606077319922, + 2.905121135987933, + 2.9103562970815986, + 2.896737515849748, + 2.8645003582765565, + 2.8142365670847402, + 2.746878092266002, + 2.6636735296453704, + 2.5661575598587927, + 2.456114144616453, + 2.335534382844167, + 2.2065700527260295, + 2.0714839638497002, + 1.932598314242087, + 1.7922422884202986, + 1.6527001437345248, + 1.5161610130539875, + 1.3846716028000066, + 1.2600928877501059, + 1.1440617999131628, + 1.0379587807468165, + 0.9428819172781738, + 0.8596282170239027, + 0.7886823981236395, + 0.730213384246224, + 0.684078503243902, + 0.649835198939191, + 0.6267598815213422, + 0.6138733683412121, + 0.6099722076980576, + 0.6136650374128337, + 0.6234130110175856, + 0.6375732301464483, + 0.6544440544558867, + 0.6723111217184403, + 0.689492901498106, + 0.7043846261630713, + 0.7154994923206189, + 0.7215061027449428, + 0.7212612214979381, + 0.7138370405649155, + 0.6985423017202573, + 0.6749367787914514, + 0.6428387988967282, + 0.6023256621915927, + 0.553727003589968, + 0.49761132217552156, + 0.4347660799854183, + 0.3661719370932371, + 0.29297184027547574, + 0.21643581423103922, + 0.13792241402250996, + 0.05883788236497389, + -0.01940588652948835, + -0.09543344509005072, + -0.1679468203620889, + -0.23576436806484827, + -0.29785640572144384, + -0.3533766615063617, + -0.4016886839054525, + -0.44238648778430645, + -0.4753088617132238, + -0.500546925626953, + -0.5184447029516129, + -0.5295926527807719, + -0.5348142909338, + -0.5351462091388869, + -0.5318119745736964, + -0.5261905531730526, + -0.5197800453713085, + -0.5141576485779327, + -0.510936863466734, + -0.511723038439619, + -0.5180683963881052, + -0.5314277087905385, + -0.5531157736415983, + -0.5842678158420489, + -0.6258038623445265, + -0.6783980511334811, + -0.7424537152682716, + -0.8180849436123362, + -0.9051051619328666, + -1.003023105674078, + -1.1110463731417166, + -1.2280925596091357, + -1.3528077836396069, + -1.4835922314244223, + -1.6186321677890647, + -1.7559376981503274, + -1.893385418239226, + -2.0287649615506247, + -2.159828351451066, + -2.2843409882986463, + -2.400133053780376, + -2.505150096232634, + -2.597501572525641, + -2.6755061639640956, + -2.7377327546416232, + -2.7830360591240675, + -2.8105860098843487, + -2.819890160604493, + -2.8108085257829933, + -2.783560456058362, + -2.738723337935936, + -2.677223101578724, + -2.600316716241639, + -2.509567045009775, + -2.4068106140519805, + -2.2941190221311487, + -2.1737548694478646, + -2.048123217277387, + -1.9197196980450977, + -1.7910764768169762, + -1.6647073176600016, + -1.5430530306591737, + -1.4284285670071482, + -1.3229729907050733, + -1.2286034869718656, + -1.1469744711195502, + -1.0794427397640904, + -1.0270394617774137, + -0.9904496428727886, + -0.9699995191422555, + -0.9656521455878322, + -0.9770112503234488, + -1.0033332284328342, + -1.0435469562392217, + -1.0962809216753113, + -1.1598969940306996, + -1.23253000077763, + -1.3121321441945437, + -1.3965211793703465, + -1.4834311905399176, + -1.570564746577542, + -1.655645190160678, + -1.7364678191768514, + -1.8109487531994768, + -1.877170341378631, + -1.9334220592361473, + -1.9782359582998112, + -2.0104158713178464, + -2.0290597334772293, + -2.0335745526623934, + -2.023683745030586, + -1.9994267414882763, + -1.961150961332185, + -1.9094964366475267, + -1.8453735504078292, + -1.7699345181764892, + -1.6845393937688193, + -1.5907175095130888, + -1.4901253686775806, + -1.3845020886242398, + -1.2756235463750492, + -1.1652564023009913, + -1.0551131720588778, + -0.9468094819423772, + -0.8418245794469894, + -0.7414660807485353, + -0.6468398223007028, + -0.5588255478149473, + -0.47805900797205364, + -0.40492088225078654, + -0.33953275451185116, + -0.28176019095053595, + -0.2312227853605332, + -0.18731085697556063, + -0.1492083150098872, + -0.11592104571863401, + -0.08631003633184367, + -0.05912832914314143, + -0.03306080139872141, + -0.006765694887628913, + 0.021083224921286194, + 0.05175501561625411, + 0.086421531974924, + 0.12612010630998943, + 0.1717199434230302, + 0.2238931422035835, + 0.28309113605574215, + 0.3495272040138354, + 0.42316554716995763, + 0.5037172548552601, + 0.5906433061985055, + 0.6831645697552597, + 0.7802785814920987, + 0.8807827041470035, + 0.9833031033702487, + 1.0863288223423666, + 1.1882501006861794, + 1.2873999689150883, + 1.3820980593356542, + 1.4706955105914312, + 1.5516198075750296, + 1.6234183922191003, + 1.6847999039446249, + 1.7346719607989902, + 1.7721744723324122, + 1.7967075811171533, + 1.8079534589375748, + 1.8058913329112012, + 1.7908052824730591, + 1.76328452618087, + 1.7242161032731298, + 1.674770044223307, + 1.6163773124756327, + 1.550700981438585, + 1.4796012821082765, + 1.4050953131053054, + 1.3293123425052082, + 1.2544457461515057, + 1.1827027172337097, + 1.1162529444811402, + 1.0571774897326933, + 1.007419098977778, + 0.9687351540493762, + 0.9426544155592067, + 0.9304386227029291, + 0.9330499042383571, + 0.9511248199133447, + 0.9849556961424637, + 1.0344797475620395, + 1.0992762914073757, + 1.178572168944247, + 1.2712552921428029, + 1.3758960391879835, + 1.490776034028802, + 1.613923667585484, + 1.7431555558033864, + 1.8761229864447255, + 2.0103622858551344, + 2.1433479418922845, + 2.2725472520933105 + ], + [ + 2.3597992225518465, + 2.4781301539554037, + 2.5863309431372823, + 2.682291444989025, + 2.7641304992190805, + 2.830236234780097, + 2.879300242157822, + 2.9103448305045294, + 2.9227427516910347, + 2.9162289531341665, + 2.8909041113473775, + 2.847229893927362, + 2.786016094360144, + 2.708399976818907, + 2.6158183523453395, + 2.50997307898397, + 2.3927908324270595, + 2.266378126805352, + 2.1329726742242108, + 1.9948922538890148, + 1.8544823152414904, + 1.714063563200774, + 1.5758807668672508, + 1.442053996149978, + 1.3145334247078873, + 1.1950587440551341, + 1.0851241150495652, + 0.9859494422513438, + 0.898458597336374, + 0.8232650438569397, + 0.7606651314925121, + 0.7106391381031758, + 0.672859947093388, + 0.6467090605347959, + 0.6312994698002663, + 0.62550473952582, + 0.6279935116149408, + 0.6372685073755978, + 0.6517090008620842, + 0.6696156576152085, + 0.689256582133122, + 0.7089133957369257, + 0.7269261744659349, + 0.7417361139526547, + 0.7519248538610134, + 0.7562494866918889, + 0.7536723921750873, + 0.7433851760837439, + 0.7248261476077067, + 0.697690938452165, + 0.6619360452947056, + 0.6177752606164428, + 0.5656691405827825, + 0.5063078379482703, + 0.44058779837507034, + 0.3695829757919084, + 0.2945113625218362, + 0.21669774934997169, + 0.13753372648628756, + 0.05843600610130626, + -0.019195810970473848, + -0.09402088869684994, + -0.16479710991924795, + -0.23041825630952067, + -0.289947411942087, + -0.3426456864267993, + -0.38799547504176396, + -0.42571761500244015, + -0.45578195531861637, + -0.4784110286187119, + -0.4940766925355581, + -0.50348979121184, + -0.5075830695609833, + -0.5074877494926232, + -0.5045043438967347, + -0.5000684365390099, + -0.49571229026647595, + -0.4930232586211977, + -0.49360006421208524, + -0.49900806871095765, + -0.5107346924971131, + -0.5301461458616972, + -0.5584466081185209, + -0.5966409365090232, + -0.6455019047180588, + -0.7055428631102285, + -0.7769965820752393, + -0.8598008893377637, + -0.9535915454471077, + -1.0577026230293955, + -1.1711744691832457, + -1.292769141250966, + -1.4209930188069884, + -1.5541261137464966, + -1.6902574303537843, + -1.827325572443257, + -1.9631636589902222, + -2.0955474965315113, + -2.222245868894784, + -2.3410717447638856, + -2.4499331727790556, + -2.5468826331589915, + -2.630163644327469, + -2.6982534820956348, + -2.7499009562259698, + -2.7841583026199377, + -2.800406386215544, + -2.79837256665754, + -2.7781407521148576, + -2.74015335206162, + -2.685205032899347, + -2.614428376274251, + -2.52927173405222, + -2.4314697614120715, + -2.3230072858184894, + -2.2060773304227497, + -2.0830342517713545, + -1.9563430701126086, + -1.828526163170924, + -1.7021085587309501, + -1.5795630961483749, + -1.4632567311182267, + -1.355399231569055, + -1.2579954560482818, + -1.172802320791511, + -1.1012914498990338, + -1.0446183674005323, + -1.0035989337808309, + -0.9786935565754018, + -0.9699995191422552, + -0.977251578199313, + -0.9998307838993826, + -1.0367812808910952, + -1.0868346597357414, + -1.1484412498109775, + -1.2198075817562606, + -1.2989391035481128, + -1.383687112908365, + -1.4717987728592852, + -1.560969009129239, + -1.64889304937896, + -1.7333183557352918, + -1.8120947240139385, + -1.8832213746666242, + -1.9448899405504005, + -1.9955223630402679, + -2.0338028380983335, + -2.058703104402068, + -2.0695005327544607, + -2.065788655579711, + -2.047479962881758, + -2.014800981953123, + -1.968279847640381, + -1.9087267534170878, + -1.8372078463634915, + -1.7550132871564572, + -1.6636203354619536, + -1.5646524382998077, + -1.4598353911763098, + -1.3509517068424644, + -1.2397943629026187, + -1.1281211063570091, + -1.0176104704362627, + -0.9098206074388134, + -0.8061519620967998, + -0.7078147053403633, + -0.6158017209057859, + -0.5308677903054976, + -0.4535154589951811, + -0.38398789227185653, + -0.32226884793727106, + -0.26808970865744164, + -0.22094333489485332, + -0.18010432387934147, + -0.14465509573963287, + -0.1135170787784661, + -0.08548613569265383, + -0.05927126458701042, + -0.03353552561741835, + -0.006938088103457627, + 0.02182373462661697, + 0.05397359387422474, + 0.09061745833825625, + 0.13270825282395243, + 0.18101473910039848, + 0.23609548491018906, + 0.29827863512123237, + 0.367648048527861, + 0.44403619866382665, + 0.5270240613620905, + 0.615948030130977, + 0.7099137173146427, + 0.8078163191089712, + 0.9083670503772899, + 1.0101249952288003, + 1.111533575560681, + 1.2109607158946143, + 1.3067416820375939, + 1.3972234959673442, + 1.4808097818468042, + 1.5560048794811583, + 1.62145607239382, + 1.6759928178255068, + 1.7186619344304679, + 1.7487577986222003, + 1.7658467201012138, + 1.7697848081587442, + 1.760728799428466, + 1.7391394909312778, + 1.7057776052439344, + 1.6616921028839813, + 1.6082011458625873, + 1.5468661011094762, + 1.4794591485076263, + 1.4079252211831947, + 1.3343391513876575, + 1.2608590201123808, + 1.1896768093278043, + 1.122967529866739, + 1.0628380435546738, + 1.0112768140112618, + 0.9701058061233075, + 0.9409357097825108, + 0.9251255900950053, + 0.9237479656250493, + 0.9375601907286132, + 0.9669828706777547, + 1.012085872630844, + 1.0725823155804766, + 1.1478307325816446, + 1.2368454034491303, + 1.338314660473335, + 1.4506267783154885, + 1.5719028767855594, + 1.700036096144956, + 1.8327361530522597, + 1.9675782550000736, + 2.102055245271456, + 2.233631771676332, + 2.359799222551845 + ], + [ + 2.444007128776587, + 2.556734034822584, + 2.6579293925934877, + 2.7456209467774944, + 2.8180911180019272, + 2.873913706702452, + 2.9119839740311284, + 2.9315414126417965, + 2.9321846945152994, + 2.913878469463248, + 2.8769518820328566, + 2.822088871499008, + 2.750310514678155, + 2.6629498596879833, + 2.561619875930654, + 2.448175307199781, + 2.3246693569916226, + 2.193306254410603, + 2.0563908426350803, + 1.916276397523896, + 1.775311920060191, + 1.635790152135859, + 1.4998975406136668, + 1.3696673203473053, + 1.2469368043045117, + 1.1333098602302203, + 1.0301254211515538, + 0.9384327247820163, + 0.8589738083354108, + 0.7921736046117341, + 0.7381377969584899, + 0.6966583995103579, + 0.6672268396993492, + 0.6490541370826299, + 0.6410976005616964, + 0.642093309287665, + 0.650593504799759, + 0.6650079065829881, + 0.6836478730480163, + 0.7047722670905237, + 0.7266338513530456, + 0.7475250338426926, + 0.7658218096683111, + 0.7800247986277283, + 0.7887963597583008, + 0.790992870638835, + 0.7856913884469334, + 0.7722100582232699, + 0.7501217976884933, + 0.7192609631343712, + 0.6797228829279425, + 0.6318563294207975, + 0.5762491818911644, + 0.5137077079774701, + 0.4452300544837539, + 0.3719746863371155, + 0.2952246411374097, + 0.21634857292947876, + 0.13675963988628237, + 0.05787334448998626, + -0.018934539804961417, + -0.09236882517129338, + -0.16125345175957181, + -0.2245666792072737, + -0.28147197825596565, + -0.33134378537073783, + -0.373787416766028, + -0.4086525899364469, + -0.4360401668300213, + -0.45630190898088524, + -0.47003321677737847, + -0.47805900797205314, + -0.4814130699036955, + -0.4813113911450073, + -0.4791201370595123, + -0.47631907600283, + -0.47446138500222007, + -0.47513086256165316, + -0.47989764921546224, + -0.4902736016849757, + -0.5076684827658666, + -0.5333481159004273, + -0.5683956110173489, + -0.6136766976330579, + -0.6698101040931461, + -0.7371438005474388, + -0.8157377807648647, + -0.9053538977079099, + -1.0054530938544672, + -1.1152001838823422, + -1.233476159069011, + -1.358897794288932, + -1.4898441545111702, + -1.6244894228086777, + -1.7608413104692993, + -1.8967841659043307, + -2.0301257763147946, + -2.158646757612553, + -2.2801513564225466, + -2.392518444975234, + -2.4937514764902216, + -2.5820261856742976, + -2.655734865883684, + -2.7135261302661364, + -2.7543391670244204, + -2.7774316263778087, + -2.782400425781164, + -2.7691949268933036, + -2.7381221186210905, + -2.6898436309077107, + -2.6253645991464487, + -2.5460145944221444, + -2.4534210254390785, + -2.3494755993223637, + -2.236294596039437, + -2.116173860871128, + -1.9915395474948394, + -1.8648957476770982, + -1.7387702197638129, + -1.615659475224285, + -1.4979744992820119, + -1.3879883677258114, + -1.2877869776644966, + -1.199224036337615, + -1.1238813509116896, + -1.0630353359375562, + -1.0176305068957208, + -0.9882605616256377, + -0.9751574704834813, + -0.9781888052116768, + -0.9968633403826525, + -1.0303447646752262, + -1.0774731469388041, + -1.1367936186727554, + -1.2065915646458163, + -1.2849334610190892, + -1.3697123691970474, + -1.4586969868694417, + -1.5495830778763036, + -1.6400460515163962, + -1.7277934409038755, + -1.810616039397502, + -1.8864364936705222, + -1.9533542206070214, + -2.009685611137644, + -2.0539986049306984, + -2.0851408624927523, + -2.1022609221318502, + -2.104821904380744, + -2.0926075115068143, + -2.065720260056054, + -2.0245720752755005, + -1.9698675630136064, + -1.9025804527060108, + -1.8239238699370484, + -1.735315244782925, + -1.6383367890833218, + -1.534692578871767, + -1.4261633549380668, + -1.314560203076537, + -1.2016782948743847, + -1.0892518595304603, + -0.978911517520462, + -0.8721450390263977, + -0.770262495713879, + -0.6743666561151298, + -0.5853293355987301, + -0.503774255237622, + -0.43006679381164975, + -0.36431083801678293, + -0.30635275223681313, + -0.2557923056088235, + -0.21200021521617518, + -0.17414179458172788, + -0.14120604048185695, + -0.11203935238573415, + -0.0853829610294959, + -0.05991304871654462, + -0.03428247624535049, + -0.0071629915949262424, + 0.022713215368213045, + 0.05651372960170185, + 0.09526896947610465, + 0.13983908323191474, + 0.190885579234813, + 0.24884846284156614, + 0.3139295096333784, + 0.3860821454018047, + 0.46500823161914123, + 0.5501618755366195, + 0.6407602010784264, + 0.7358008349755939, + 0.8340856867211235, + 0.9342504353937515, + 1.0347989854051518, + 1.1341420206255066, + 1.230638675529556, + 1.3226402558310812, + 1.4085348817744934, + 1.48679189639338, + 1.556004879481158, + 1.6149321358692603, + 1.6625335832564974, + 1.698003048939771, + 1.7207950943314634, + 1.7306456184417482, + 1.7275856433096721, + 1.7119478519451805, + 1.6843656285530837, + 1.6457645372078948, + 1.5973463641046506, + 1.5405660353200064, + 1.4771019020178413, + 1.4088200537205606, + 1.3377334734084876, + 1.2659569819488483, + 1.1956590303098298, + 1.1290114833578597, + 1.06813859657039, + 1.0150664152090938, + 0.9716738235978255, + 0.9396464400889186, + 0.9204344917772584, + 0.9152157134609858, + 0.9248641998718707, + 0.949926001571972, + 0.9906020964765182, + 1.0467391945502418, + 1.117828647069757, + 1.2030135384778204, + 1.3011038429905861, + 1.41059933453862, + 1.5297197520591945, + 1.656441547177511, + 1.7885403822057973, + 1.9236384070535184, + 2.059255227501694, + 2.1928613872043523, + 2.32193312396023, + 2.444007128776586 + ], + [ + 2.524458533776361, + 2.630621846837956, + 2.7239380777440023, + 2.8025895592714662, + 2.8650368446554793, + 2.910051500355182, + 2.9367418410633195, + 2.9445710214673495, + 2.9333670813519057, + 2.9033247322243043, + 2.8549988700796414, + 2.7892899954176813, + 2.7074219133998416, + 2.610912269430571, + 2.5015366440368725, + 2.3812870816193317, + 2.252326056817644, + 2.116936986765778, + 1.9774724749075572, + 1.8363015204732738, + 1.6957569460664352, + 1.558084283702286, + 1.4253933174506794, + 1.299613409678604, + 1.182453639586311, + 1.075368659774211, + 0.9795310320566982, + 0.8958106412701834, + 0.8247616094573028, + 0.7666169469333376, + 0.7212909859654656, + 0.6883894518426217, + 0.667226839699349, + 0.6568505881739387, + 0.6560713771856861, + 0.6634987308201482, + 0.677580981083555, + 0.6966485471654891, + 0.7189594102641848, + 0.7427456177476853, + 0.7662596335046504, + 0.7878193641054009, + 0.8058507324309474, + 0.8189267405901136, + 0.8258020603880434, + 0.8254423098360295, + 0.8170473151162555, + 0.8000678154371856, + 0.7742152393165216, + 0.7394643606687112, + 0.6960488271014259, + 0.6444497363908154, + 0.5853776155781214, + 0.5197483260141949, + 0.4486535727241446, + 0.3733268337753846, + 0.2951056414623462, + 0.21539123916008207, + 0.13560670334540853, + 0.05715465790285293, + -0.018624283505237843, + -0.09049123171837455, + -0.15734582683461504, + -0.21825914374826116, + -0.2725018106672418, + -0.31956657753528, + -0.35918471568047705, + -0.3913357904203966, + -0.4162505207113131, + -0.4344066198700999, + -0.44651769436178523, + -0.4535154589951806, + -0.4565257020010972, + -0.45683859793259707, + -0.45587411593835675, + -0.4551434019013571, + -0.45620712185322077, + -0.46063183816636455, + -0.46994554710814995, + -0.4855935349051042, + -0.508895708716168, + -0.541006528791293, + -0.582878609271583, + -0.6352309689662735, + -0.6985228021034893, + -0.7729335052148056, + -0.8583495432656411, + -0.9543585696589919, + -1.0602510349878007, + -1.1750293328501593, + -1.2974243423107434, + -1.4259190403947755, + -1.5587786789886011, + -1.6940868531765385, + -1.8297866365702624, + -1.9637258274024951, + -2.093705240399673, + -2.2175288964922633, + -2.333054907407335, + -2.4382458265690055, + -2.531217242236469, + -2.610283423421635, + -2.6739988930888106, + -2.7211948949611244, + -2.751009837765307, + -2.762912941122544, + -2.7567204671542744, + -2.7326040973472203, + -2.6910912010496877, + -2.6330569356030042, + -2.559708313824894, + -2.472560567574462, + -2.373406321719919, + -2.2642782664547116, + -2.147406173308294, + -2.0251692375104757, + -1.9000448432183248, + -1.7745549356990455, + -1.6512112437200144, + -1.5324606246621033, + -1.4206318035096634, + -1.3178847448955502, + -1.2261638355564002, + -1.1471559643781966, + -1.0822544708745754, + -1.0325297932703204, + -0.9987074877616725, + -0.9811541148809596, + -0.9798713014854621, + -0.9944980922846791, + -1.0243215077553565, + -1.0682950305658825, + -1.1250645549759186, + -1.1930011576509698, + -1.2702398882030075, + -1.3547236374108242, + -1.444251023871776, + -1.5365271486017091, + -1.6292160040031578, + -1.7199932901400241, + -1.8065983881371535, + -1.8868842677659248, + -1.958864163135273, + -2.0207539354085386, + -2.071009152446818, + -2.108356049440245, + -2.1318156885659705, + -2.140720805659063, + -2.1347250135690192, + -2.1138042207868897, + -2.0782503153855507, + -2.028657353584431, + -1.9659006746613539, + -1.8911095349995448, + -1.8056340095801355, + -1.7110070454078379, + -1.6089026648762221, + -1.5010914051967186, + -1.3893941406261976, + -1.2756354659156617, + -1.1615978214735836, + -1.0489775132380326, + -0.9393437239646192, + -0.8341015290622882, + -0.7344598214239952, + -0.6414049187046951, + -0.5556804765481449, + -0.477774166177959, + -0.4079113987395542, + -0.34605619626853246, + -0.2919191247822187, + -0.24497202339911123, + -0.20446908916378823, + -0.16947371477865278, + -0.13889032980475552, + -0.11150036877439953, + -0.08600138524670727, + -0.06104825174759755, + -0.0352953337422065, + -0.007438502576726941, + 0.023744141736505887, + 0.05935393210100645, + 0.10033671149941022, + 0.14745226748188747, + 0.20124895205213053, + 0.262044180033627, + 0.329911346111706, + 0.404673533834589, + 0.48590421314714644, + 0.5729349410009501, + 0.6648698968470026, + 0.7606069060086474, + 0.8588644335915319, + 0.9582138740467834, + 1.0571163207773033, + 1.1539628798611568, + 1.2471174951481148, + 1.3349611811670705, + 1.4159365173147132, + 1.4885912428351566, + 1.5516198075750296, + 1.6039017781005338, + 1.6445360714524233, + 1.6728700878464033, + 1.6885229365917696, + 1.6914020933874754, + 1.6817129884203206, + 1.6599611993506846, + 1.6269471069996508, + 1.5837530597845593, + 1.5317232810019896, + 1.4724369362359908, + 1.4076749518937035, + 1.3393813357838413, + 1.269619892732457, + 1.2005273488856145, + 1.1342639945146167, + 1.0729630243507513, + 1.0186797949307245, + 0.973342229037112, + 0.9387035777118399, + 0.9162987008942826, + 0.9074049496148501, + 0.9130086276977426, + 0.9337778815965637, + 0.9700427164131055, + 1.0217826679715558, + 1.088622479116411, + 1.169835937591283, + 1.264357837587518, + 1.3708038320928175, + 1.4874977532868785, + 1.6125057980712516, + 1.7436768097989566, + 1.8786877394592865, + 2.015093243604573, + 2.150378275277921, + 2.282012450602823, + 2.4075049293468385, + 2.524458533776359 + ], + [ + 2.600472782260193, + 2.6991684656772525, + 2.783798535243183, + 2.8527153022306497, + 2.904570497089063, + 2.938343873651447, + 2.9533643804962404, + 2.9493234205945593, + 2.9262799086731803, + 2.8846570308099984, + 2.825230807902708, + 2.7491107590166894, + 2.657713147499331, + 2.552727467607527, + 2.4360769879937894, + 2.309874306898299, + 2.1763729889603134, + 2.03791644243264, + 1.8968852561435834, + 1.7556442463860404, + 1.6164904643392461, + 1.4816033847093086, + 1.3529984368197936, + 1.2324849519278878, + 1.1216294873057668, + 1.0217253514616564, + 0.9337689991909636, + 0.858443793829068, + 0.796111451385756, + 0.7468112917102291, + 0.7102672301577094, + 0.6859022541389779, + 0.6728599470933878, + 0.6700324523045555, + 0.6760941147462852, + 0.6895399045710413, + 0.7087276142049959, + 0.7319227349862193, + 0.7573448609270874, + 0.7832144378569968, + 0.8077986765400619, + 0.8294554782576353, + 0.8466742799539768, + 0.858112811807479, + 0.8626288707776429, + 0.8593063464393148, + 0.8474748868547121, + 0.8267227584936819, + 0.7969026310732116, + 0.7581302011699025, + 0.7107757529398744, + 0.6554489356049484, + 0.5929772109639986, + 0.5243785856964427, + 0.450829388582769, + 0.3736279783275342, + 0.2941553702877448, + 0.21383384751866902, + 0.13408467122851167, + 0.05628602675364282, + -0.018267666979991368, + -0.08840399362832582, + -0.15310729541946316, + -0.21154901453665878, + -0.2631128008527632, + -0.30741370342796115, + -0.3443109172440924, + -0.3739137244141365, + -0.3965804463235733, + -0.41291040533996437, + -0.4237290772493095, + -0.4300667938116493, + -0.4331315242473068, + -0.4342764207600349, + -0.4349629523908976, + -0.43672057001959136, + -0.44110394014586685, + -0.4496488537425993, + -0.4638279571773535, + -0.48500746385405535, + -0.5144059874611514, + -0.5530565908957661, + -0.6017730701623608, + -0.6611213916197726, + -0.7313970763312766, + -0.8126091800158174, + -0.9044713547847697, + -1.006400303491437, + -1.117521753468769, + -1.2366838882595805, + -1.362477988341334, + -1.493265849498981, + -1.6272133749689737, + -1.7623295790959717, + -1.8965100999997435, + -2.027584200190028, + -2.153364140208665, + -2.2716957436312475, + -2.3805089338686893, + -2.4778670152050415, + -2.562013492686132, + -2.6314152773831134, + -2.6848012040081266, + -2.721194894961125, + -2.7399411360807013, + -2.7407250815011834, + -2.723583774405172, + -2.6889096529947905, + -2.637445902245035, + -2.570273707286052, + -2.4887916588183128, + -2.394687750036662, + -2.289904583495272, + -2.176598570797409, + -2.0570940539038367, + -1.9338334006344844, + -1.809324225541815, + -1.6860849583274673, + -1.566590023597751, + -1.4532159069680708, + -1.3481893630355322, + -1.2535389709988385, + -1.1710511649117894, + -1.102231759619874, + -1.0482738629216604, + -1.010032912592207, + -0.9880094073030258, + -0.9823397173019607, + -0.9927951684380348, + -1.0187893964125876, + -1.059393771796489, + -1.1133605051492252, + -1.1791528601550867, + -1.2549817354564274, + -1.3388477268640624, + -1.4285876544587774, + -1.5219244368246243, + -1.6165191197183615, + -1.7100238206505047, + -1.800134335184829, + -1.8846411655655548, + -1.961477777116797, + -2.0287649615506247, + -2.0848502869852354, + -2.128341739569228, + -2.158134807991333, + -2.1734324261688087, + -2.1737573669657695, + -2.1589568664842407, + -2.129199449667807, + -2.0849641189322456, + -2.0270222535768117, + -1.9564127442541215, + -1.874411049452136, + -1.7824930057876285, + -1.6822943473974947, + -1.57556698885054, + -1.4641331984086585, + -1.3498388324320396, + -1.2345068162498631, + -1.1198920416418072, + -1.0076388066737085, + -0.8992418512068473, + -0.7960119428556657, + -0.699046846052536, + -0.6092083643229078, + -0.52710598651786, + -0.453087495645128, + -0.38723671844663515, + -0.3293784095566148, + -0.2790900805930445, + -0.23572040651203247, + -0.19841367347196895, + -0.16613957853758057, + -0.1377275556685279, + -0.11190468798970701, + -0.0873361761955702, + -0.06266726934884131, + -0.036565528875239735, + -0.007762290101283549, + 0.024907791627920235, + 0.062470171973788166, + 0.10577780901747633, + 0.15548339459011068, + 0.21201717872883688, + 0.2755709947477966, + 0.3460889309877451, + 0.4232649222673732, + 0.5065473537885756, + 0.5951505873163245, + 0.6880731385007418, + 0.7841220598279885, + 0.8819429203091621, + 0.9800546248018012, + 1.076888186589297, + 1.1708284598294572, + 1.260257756479567, + 1.343600217441937, + 1.419365781402055, + 1.4861925978870232, + 1.5428867634553658, + 1.5884583209056575, + 1.6221525495071145, + 1.6434756873740086, + 1.6522143624609145, + 1.6484481629182526, + 1.6325549469086678, + 1.6052086722501555, + 1.567369712945499, + 1.5202678181334421, + 1.4653780545538306, + 1.4043902516175601, + 1.3391726341511658, + 1.2717304776725915, + 1.2041607508693688, + 1.138603816500918, + 1.0771933425111395, + 1.0220056276318958, + 0.9750095687899779, + 0.938018490534153, + 0.9126450195527068, + 0.9002601209779585, + 0.9019573191179145, + 0.9185230057495505, + 0.9504135970182497, + 0.9977401387415402, + 1.0602607834186506, + 1.1373813747895203, + 1.2281641819336748, + 1.3313446293816567, + 1.4453556773084155, + 1.5683593212985683, + 1.6982845089412846, + 1.8328706148537124, + 1.9697154804709147, + 2.1063269134044162, + 2.2401764561109174, + 2.3687541771292007, + 2.4896232116409043, + 2.6004727822601916 + ], + [ + 2.671406759289071, + 2.7617939559273954, + 2.8370043185334204, + 2.8955740891874533, + 2.9363576027139078, + 2.958551460310716, + 2.9617109581245025, + 2.9457584025763235, + 2.9109831371669674, + 2.858033302421526, + 2.7878995467782746, + 2.701891096817298, + 2.6016047756296152, + 2.488887723971196, + 2.3657947261123606, + 2.2345411674254723, + 2.097452750742858, + 1.956913170973451, + 1.8153109906800358, + 1.6749869722988073, + 1.538183105182528, + 1.4069945181704095, + 1.2833253921702035, + 1.1688498842237007, + 1.0649789473144147, + 0.9728337819547545, + 0.8932264900599493, + 0.8266483228967132, + 0.7732657274223999, + 0.7329242037477571, + 0.7051597954976613, + 0.6892178492174693, + 0.6840785032439016, + 0.6884882049390739, + 0.700996411823339, + 0.7199965104266466, + 0.7437698895538618, + 0.7705320344544629, + 0.7984794667545018, + 0.825836342887984, + 0.8508995413585696, + 0.8720811159331121, + 0.8879470665524891, + 0.8972514803854267, + 0.8989652194468821, + 0.8922984753753764, + 0.8767166726367628, + 0.8519493745130019, + 0.8179920273581403, + 0.775100563180916, + 0.7237790639866846, + 0.6647608688606504, + 0.5989836720329753, + 0.5275593129320857, + 0.4517390936728953, + 0.37287557217438366, + 0.2923818673377452, + 0.21168957424325385, + 0.13220642061602805, + 0.05527480005493831, + -0.017867707366396385, + -0.08612476987987508, + -0.14857371740784572, + -0.2044930623019647, + -0.25338438408413566, + -0.29498798186296754, + -0.3292918605221165, + -0.3565337904796542, + -0.3771963613969323, + -0.39199513309255174, + -0.4018601674526897, + -0.4079113987395538, + -0.41142846197210753, + -0.41381574585570213, + -0.4165635643231557, + -0.4212064458516793, + -0.4292796196316703, + -0.4422748303084392, + -0.4615966370021287, + -0.48852034695812113, + -0.524152699549205, + -0.5693963532357277, + -0.6249191380007052, + -0.691128920902356, + -0.7681547955407627, + -0.8558351507882097, + -0.9537130039264408, + -1.0610388025878692, + -1.1767807131037273, + -1.2996422246728374, + -1.4280867138782543, + -1.5603684371217483, + -1.694569253957241, + -1.828640236225512, + -1.9604471900644178, + -2.0878190135369046, + -2.2085977344534253, + -2.320689022991932, + -2.4221119532695545, + -2.5110467976986888, + -2.5858796776249453, + -2.6452429625119467, + -2.688050406203153, + -2.7135261302661364, + -2.721226708195499, + -2.711055766846245, + -2.683270698949039, + -2.6384812686071966, + -2.5776400857097967, + -2.50202512047815, + -2.4132146211182124, + -2.3130549810829653, + -2.2036222732554855, + -2.0871783222512312, + -1.966122319222926, + -1.8429390927530633, + -1.7201452319424015, + -1.6002343116040516, + -1.4856224932107942, + -1.3785957683125227, + -1.2812600736866075, + -1.1954954403996372, + -1.1229152438630856, + -1.0648315011633376, + -1.022227018372627, + -0.9957350276937071, + -0.9856267761213967, + -0.9918073381556682, + -1.0138197295786635, + -1.0508572021705398, + -1.1017834052818818, + -1.1651599141179196, + -1.239280450939255, + -1.3222109683543628, + -1.4118346272685072, + -1.5059005891548736, + -1.6020754558343908, + -1.6979961319469727, + -1.791322857123554, + -1.8797911571454948, + -1.9612614959772758, + -2.0337654726070618, + -2.0955474965315117, + -2.1451009911988432, + -2.181198312874526, + -2.202913729761474, + -2.209638978869358, + -2.2010911017941006, + -2.177312450685709, + -2.138662947546813, + -2.0858048688801034, + -2.0196806089385984, + -1.941484043976491, + -1.852626272807666, + -1.754696641923036, + -1.649420073169707, + -1.538611795910018, + -1.4241306416607928, + -1.3078320861618968, + -1.1915222210662408, + -1.076913805148513, + -0.9655854840010012, + -0.8589451792369818, + -0.7581985355415727, + -0.6643231793956977, + -0.5780493903889449, + -0.49984761862363564, + -0.4299231040426824, + -0.3682176700835702, + -0.3144185795033973, + -0.2679741591883398, + -0.22811572781285633, + -0.1938851996975771, + -0.1641675941598244, + -0.13772755566852782, + -0.11324888930813853, + -0.0893760409406575, + -0.06475640389875552, + -0.038082315218854884, + -0.008131614779622792, + 0.026194320037817142, + 0.0658360844206086, + 0.11154622788317546, + 0.1638645175871223, + 0.22309915519456897, + 0.2893144640106397, + 0.36232539457300367, + 0.44169901914131693, + 0.5267630032324749, + 0.6166208600622202, + 0.7101736161156668, + 0.8061473475915769, + 0.9031258924332488, + 0.9995879050243651, + 1.093947303909492, + 1.1845960700921139, + 1.269948286967012, + 1.348484274499587, + 1.4187936609105802, + 1.4796162551706398, + 1.529879632627167, + 1.5687324229207442, + 1.595572392144887, + 1.6100685374517019, + 1.612176558905862, + 1.6021472367227245, + 1.5805274180501692, + 1.5481535017986654, + 1.5061374981034046, + 1.4558459261263121, + 1.3988719953974829, + 1.3370016872080628, + 1.272174509395983, + 1.2064398362587945, + 1.1419098617799843, + 1.0807102858994513, + 1.0249299178401121, + 0.9765704158360203, + 0.937497388022303, + 0.9093940545121258, + 0.8937186163140847, + 0.8916663939835784, + 0.9041376897055373, + 0.9317121934828061, + 0.9746306004567142, + 1.0327839358311512, + 1.105710900549574, + 1.1926033592485228, + 1.2923198967559644, + 1.4034071752897894, + 1.5241286362917614, + 1.6524999131180333, + 1.7863301579600235, + 1.9232683423903576, + 2.060853469361201, + 2.1965675383228347, + 2.327890036756696, + 2.4523526925259933, + 2.567593213015272, + 2.67140675928907 + ], + [ + 2.7366603313193396, + 2.817968477602511, + 2.883105282612188, + 2.9308033154104005, + 2.9601292282325993, + 2.970503295005814, + 2.961710958124503, + 2.933906129078267, + 2.8876061844420775, + 2.8236787958484277, + 2.7433209260680425, + 2.648030508528853, + 2.5395715000060397, + 2.4199331516405547, + 2.2912844781311894, + 2.1559250156494265, + 2.0162330430924142, + 1.8746124967191546, + 1.7334398337155112, + 1.595012095248185, + 1.461497384289231, + 1.3348889088574047, + 1.2169636489870561, + 1.1092465880340172, + 1.012981308815243, + 0.9291075960552215, + 0.8582465126365991, + 0.8006932325448222, + 0.7564177227297721, + 0.7250731740940631, + 0.7060118931936857, + 0.6983081856434076, + 0.7007875940894028, + 0.7120617020588823, + 0.7305675837151576, + 0.7546108717196534, + 0.7824113336238909, + 0.8121497934258121, + 0.8420152103675067, + 0.8702507322374515, + 0.8951975751404452, + 0.9153356449487748, + 0.929319905775712, + 0.9360116154773371, + 0.9345036844436333, + 0.9241395683043059, + 0.9045252737226325, + 0.875534234908448, + 0.837305002335676, + 0.7902318697599623, + 0.7349487463463349, + 0.6723067529888805, + 0.6033461814064531, + 0.5292635973294145, + 0.4513749914778147, + 0.3710759810124563, + 0.2898001372498235, + 0.20897656085604127, + 0.1299878423580574, + 0.054129533242195764, + -0.017427788503767708, + -0.0836728437372947, + -0.1437834489212085, + -0.19715098359293934, + -0.24339886716938067, + -0.282394540067442, + -0.3142546135306179, + -0.33934303072254535, + -0.3582622640612679, + -0.37183775579534367, + -0.3810959858445999, + -0.38723671844663476, + -0.3916001329030953, + -0.3956296797878505, + -0.40083161888400226, + -0.4087322859083026, + -0.42083419941274713, + -0.4385721554389216, + -0.46327046456084203, + -0.49610246363664334, + -0.5380533833856259, + -0.5898875740279548, + -0.6521209865789889, + -0.7249996795377318, + -0.8084849727943776, + -0.9022457062592731, + -1.0056578840568156, + -1.11781180052173, + -1.237526556279179, + -1.3633716860749014, + -1.493695439415174, + -1.6266590850075218, + -1.7602764547382797, + -1.89245780639993, + -2.021056970050475, + -2.143920653665646, + -2.258938721933157, + -2.364094229261214, + -2.4575119852402176, + -2.5375044580760275, + -2.6026138783287527, + -2.651649490334846, + -2.6837190099530397, + -2.698253482095635, + -2.695024886637983, + -2.674156012985227, + -2.6361223076461084, + -2.5817455911354616, + -2.5121797357143, + -2.42888858910653, + -2.333616616662535, + -2.22835291087797, + -2.115289378388378, + -1.9967740565820025, + -1.8752606313061424, + -1.753255320841032, + -1.6332623570598903, + -1.5177293308479376, + -1.4089936745044431, + -1.3092315288344825, + -1.2204101875366304, + -1.1442452276318125, + -1.0821633240841138, + -1.0352716121189394, + -1.0043343053186917, + -0.9897571051509291, + -0.9915797523547356, + -1.009476877085512, + -1.0427671076063763, + -1.0904302014109757, + -1.1511317727307204, + -1.2232550110325906, + -1.3049386207023448, + -1.3941200666128843, + -1.4885830872119712, + -1.5860083390870823, + -1.6840259670115034, + -1.78026885289532, + -1.8724252867855096, + -1.9582898232631119, + -2.0358111367059384, + -2.103135767622316, + -2.1586467576125536, + -2.20099629982796, + -2.229131681834678, + -2.2423139648098003, + -2.2401290228481203, + -2.222490754378753, + -2.189636469625081, + -2.1421146489495704, + -2.0807654521041212, + -2.006694533305562, + -1.9212408773881262, + -1.825939514134271, + -1.7224800878026505, + -1.6126623539602207, + -1.4983497437093483, + -1.381422174684572, + -1.2637292978974837, + -1.147045349490799, + -1.0330267273223082, + -0.923173335359067, + -0.8187946361343396, + -0.7209812256566484, + -0.6305825993860358, + -0.548191615921884, + -0.4741359909924094, + -0.40847697260558585, + -0.35101516340572836, + -0.3013032730405305, + -0.25866540629319995, + -0.22222232632453423, + -0.19092198077790173, + -0.16357444552555334, + -0.13889032980475538, + -0.11552160017828214, + -0.09210372130317643, + -0.06729798037370377, + -0.03983286007423132, + -0.008543351957844596, + 0.027592842353688137, + 0.06942319229907491, + 0.11759316466266448, + 0.17252472837986627, + 0.23440112291377513, + 0.3031583118532018, + 0.3784833690384669, + 0.45981986365534255, + 0.546380127936863, + 0.6371641110157972, + 0.730984349650575, + 0.8264964253983763, + 0.9222341324342178, + 1.0166484543248822, + 1.108149344886021, + 1.19514923043639, + 1.2761071003375115, + 1.3495720310072514, + 1.414224996238534, + 1.4689178535212166, + 1.512708461303034, + 1.5448909741688168, + 1.5650204795246838, + 1.5729312776847337, + 1.5687482638620014, + 1.5528910415879131, + 1.526070578281693, + 1.489278400555993, + 1.4437685147188248, + 1.3910324221207877, + 1.3327677748877433, + 1.270841380756076, + 1.2072474120805807, + 1.1440617999131635, + 1.0833938961548486, + 1.027336562547224, + 0.977915892723721, + 0.9370417914145853, + 0.90646062265145, + 0.8877110966524819, + 0.8820844939316673, + 0.8905902267302211, + 0.9139276144559181, + 0.9524646044011112, + 1.0062240051045492, + 1.0748776213010611, + 1.157748490806986, + 1.2538212295166626, + 1.3617602956799635, + 1.4799357935648594, + 1.606456254164685, + 1.7392076612644294, + 1.8758978390956593, + 2.0141051867284943, + 2.151330637503723, + 2.2850516418386695, + 2.412776920632145, + 2.5321007155241846, + 2.640755271976487, + 2.7366603313193387 + ], + [ + 2.7956814236040453, + 2.867216768829965, + 2.9217113924624534, + 2.9581049257042378, + 2.9756842549364655, + 2.974098259806954, + 2.9533643804962404, + 2.913866875697397, + 2.856346830096755, + 2.7818841657619044, + 2.6918721010752757, + 2.5879846791004706, + 2.4721381502107573, + 2.3464471374998213, + 2.2131766344644688, + 2.0746909797884014, + 1.9334010214880402, + 1.7917107206154228, + 1.6519644522850516, + 1.5163962388830663, + 1.3870820975587967, + 1.2658966028532426, + 1.1544746576467133, + 1.0541793342154013, + 0.9660764953591554, + 0.8909167370820923, + 0.8291250133585346, + 0.7807981145825837, + 0.7457099790513815, + 0.7233246260126486, + 0.7128163141136956, + 0.7130963550572054, + 0.7228458531603882, + 0.7405535012112181, + 0.7645574449264282, + 0.7930901352903462, + 0.8243250223127977, + 0.856423906827118, + 0.8875837596749873, + 0.9160818400737631, + 0.9403179964748052, + 0.9588531124162536, + 0.9704427646823934, + 0.9740652888011715, + 0.9689435942726853, + 0.9545602351716658, + 0.9306654167635994, + 0.8972778010888036, + 0.8546781594982881, + 0.803396103206388, + 0.7441902994517241, + 0.6780227463953624, + 0.6060278302810747, + 0.5294770198712305, + 0.4497401624668557, + 0.36824443019730624, + 0.2864320226287699, + 0.20571776067793962, + 0.1274477066305803, + 0.052859915790890104, + -0.016951632304748724, + -0.08106895960526013, + -0.13877701779856957, + -0.18958489571778941, + -0.23324073210009494, + -0.2697399242575722, + -0.2993263981835766, + -0.32248688674926246, + -0.33993834534781653, + -0.3526088139815918, + -0.3616122067973436, + -0.3682176700835698, + -0.3738142936766152, + -0.3798720849047027, + -0.3879002154506391, + -0.39940362722720385, + -0.41583913156574565, + -0.4385721554389215, + -0.46883527851493073, + -0.507689665751575, + -0.555990432895027, + -0.614356888272162, + -0.6831484759492624, + -0.7624471055811513, + -0.852046396542942, + -0.9514481921287067, + -1.059866517984665, + -1.1762389720404243, + -1.299245345674052, + -1.4273330923844016, + -1.5587490854457648, + -1.6915769442783277, + -1.8237790646606342, + -1.9532423640977692, + -2.0778266537929944, + -2.195414475314481, + -2.3039611951142254, + -2.401544134752975, + -2.4864095294915107, + -2.557016152558038, + -2.612074515887289, + -2.650580658727443, + -2.6718436608300418, + -2.675506163964096, + -2.661557350674992, + -2.630338008533123, + -2.582537497221694, + -2.519182630084184, + -2.4416186764406524, + -2.3514828813212545, + -2.2506710805874834, + -2.141298157263734, + -2.025653235155618, + -1.9061506347856818, + -1.7852777211486444, + -1.6655408501911364, + -1.5494106693307361, + -1.439268045530252, + -1.3373518819598893, + -1.2457100413876108, + -1.1661545221573173, + -1.100221932686366, + -1.0491401852566578, + -1.0138021825239973, + -0.9947471042088358, + -0.9921497208936257, + -1.0058179711303552, + -1.0351988417965885, + -1.0793923946042212, + -1.137173588653335, + -1.2070213646239967, + -1.2871542850850086, + -1.3755718716174996, + -1.4701006467214872, + -1.5684437799942588, + -1.6682331564418063, + -1.7670826319483741, + -1.8626412181153496, + -1.9526449463821638, + -2.034966199301273, + -2.107659364056881, + -2.1690017580763143, + -2.2175288964922637, + -2.252063313268669, + -2.2717363084581836, + -2.276002169318993, + -2.2646445985361328, + -2.2377752739754064, + -2.1958246565254496, + -2.1395253509202985, + -2.0698885043505855, + -1.9881738947538248, + -1.8958545108385008, + -1.794576555486224, + -1.6861159100524872, + -1.572332176706606, + -1.4551214674289354, + -1.336369130436416, + -1.2179035971842571, + -1.1014524959830803, + -0.9886021127007315, + -0.8807611867171327, + -0.779129913661897, + -0.6846748884835441, + -0.5981105665982184, + -0.5198876512045137, + -0.45018863562858535, + -0.3889305453102813, + -0.33577473940382724, + -0.2901434515954343, + -0.25124257816937673, + -0.21809006289045182, + -0.18954908688587516, + -0.16436515094061607, + -0.14120604048185678, + -0.118703592437763, + -0.0954961398729706, + -0.07027049588663149, + -0.041802353039761965, + -0.008994018153108007, + 0.02909152644390238, + 0.07320114705335047, + 0.12386745953451882, + 0.18139075766624582, + 0.24582746212535223, + 0.31698541305832223, + 0.3944261506085901, + 0.47747414526508564, + 0.5652327581498905, + 0.6566065349780615, + 0.7503292708827969, + 0.8449971308420786, + 0.9391059759550838, + 1.0310919327362833, + 1.1193741538257258, + 1.2023986563504134, + 1.2786820902430558, + 1.3468542840526603, + 1.4056984403563866, + 1.4541879062577894, + 1.4915185253624115, + 1.5171356840946957, + 1.5307552946521703, + 1.532378106095534, + 1.5222969003569302, + 1.5010963072133419, + 1.4696451571096816, + 1.4290814785199382, + 1.3807904326134803, + 1.326375657689201, + 1.267624664642626, + 1.2064690783920633, + 1.1449406548280943, + 1.0851241150495659, + 1.0291079255419266, + 0.9789342122956813, + 0.9365490270885402, + 0.9037541844171026, + 0.8821618577567527, + 0.8731530645903641, + 0.8778410823453102, + 0.8970407240798207, + 0.9312442661756769, + 0.9806046637175233, + 1.0449265164622554, + 1.1236650635245848, + 1.2159332926300301, + 1.3205170547100689, + 1.4358978815086356, + 1.5602830174666644, + 1.6916420020263099, + 1.8277489789527344, + 1.9662297692359465, + 2.104612627060881, + 2.24038150711461, + 2.3710306083966644, + 2.4941189262879266, + 2.6073235417628178, + 2.708490404399528, + 2.795681423604044 + ], + [ + 2.8479706909951092, + 2.909122166780869, + 2.9524960229254216, + 2.9772479360917603, + 2.9828910802608624, + 2.969305939685177, + 2.9367418410633195, + 2.885810183585182, + 2.8174695424137797, + 2.733003013644773, + 2.6339883521402725, + 2.522261623420161, + 2.399875242896975, + 2.2690514064814264, + 2.1321320228138214, + 1.9915263365446012, + 1.8496574823144267, + 1.7089092292015735, + 1.5715741649835888, + 1.4398045289223806, + 1.315566831990266, + 1.200601306286093, + 1.0963871032925054, + 1.0041140166533744, + 0.9246613428926598, + 0.85858431698384, + 0.8061083732872769, + 0.7671312907106018, + 0.7412330887440567, + 0.7276933530115097, + 0.7255154897776724, + 0.733457242853899, + 0.7500666576036413, + 0.7737225488825664, + 0.802678425850716, + 0.8351087491568517, + 0.8691563468481138, + 0.902979795624741, + 0.9347995841297985, + 0.9629419144858109, + 0.9858790661799373, + 1.0022653408688953, + 1.0109677252778773, + 1.011090549061127, + 1.0019935717126474, + 0.9833031033702498, + 0.9549159443209869, + 0.916996112645107, + 0.8699645140749374, + 0.814481888148353, + 0.7514255355817299, + 0.6818604891893608, + 0.6070059306939006, + 0.5281977749062551, + 0.4468484380332197, + 0.3644048759301212, + 0.2823060192483677, + 0.20194074463307957, + 0.12460750413127565, + 0.05147668923916784, + -0.01644326726624628, + -0.0783351475217994, + -0.13359678071266246, + -0.18185881120363265, + -0.22299592129557325, + -0.25713119820938857, + -0.28463351393792297, + -0.30610796916531163, + -0.3223796339005619, + -0.3344709932002359, + -0.34357367189817145, + -0.351015163405728, + -0.35822142054070716, + -0.3666762775893632, + -0.37787875954763916, + -0.3932993944820914, + -0.41433667662494567, + -0.4422748303084392, + -0.4782439980202363, + -0.5231839203297547, + -0.5778120925219515, + -0.6425972744973523, + -0.7177390995113543, + -0.8031543768631335, + -0.8984705174297742, + -1.0030263331016764, + -1.1158802761372721, + -1.2358259968343073, + -1.3614149124019952, + -1.4909853011610925, + -1.6226972686874972, + -1.7545727804690685, + -1.8845398229091033, + -2.0104796444555806, + -2.130275944078939, + -2.241864817451041, + -2.3432842435006163, + -2.4327218963204795, + -2.508560099722779, + -2.5694168033802605, + -2.614181549025822, + -2.6420455104887868, + -2.6525248296613957, + -2.6454766284761893, + -2.6211072508050033, + -2.579972473635471, + -2.52296961941939, + -2.4513216964139195, + -2.3665538863795534, + -2.27046288443667, + -2.1650797696615367, + -2.0526272428485584, + -1.93547220588977, + -1.816074772018232, + -1.6969348848880959, + -1.5805377849163251, + -1.4692995919764495, + -1.365514273628918, + -1.2713032375603406, + -1.1885687264995095, + -1.1189521050287454, + -1.063798012559305, + -1.0241252180783393, + -1.000604853467912, + -0.9935465271027065, + -1.0028926323099425, + -1.0282209706745467, + -1.06875561282812, + -1.1233857240710647, + -1.1906918936899233, + -1.268979329723965, + -1.3563171195019392, + -1.4505826144200662, + -1.5495098785908477, + -1.6507410480170557, + -1.7518793820570708, + -1.8505427536760681, + -1.9444163201233793, + -2.0313031412935185, + -2.1091715684222403, + -2.1761983095150206, + -2.230806187885116, + -2.271695743631248, + -2.2978699814791734, + -2.308651738324995, + -2.303693325834818, + -2.2829782930696507, + -2.2468153466319505, + -2.19582465652545, + -2.1309169600919957, + -2.0532660495193675, + -1.9642753862662188, + -1.8655397244760874, + -1.7588027416855885, + -1.6459117660712905, + -1.5287707529580417, + -1.4092926978471294, + -1.2893526780573998, + -1.1707426901866163, + -1.055129396714761, + -0.9440158136258487, + -0.8387078640444253, + -0.7402865933202625, + -0.649586692063549, + -0.567181809123393, + -0.49337696058603314, + -0.4282081579948436, + -0.3714491937765461, + -0.3226253389612935, + -0.2810335323074107, + -0.24576847530166573, + -0.2157538983291322, + -0.1897781333250655, + -0.16653302067940293, + -0.14465509573963264, + -0.12276794499219804, + -0.09952459525385267, + -0.07364880161122073, + -0.04397413131375269, + -0.009479800525472315, + 0.030677692762894386, + 0.07713798547667006, + 0.13031602912497176, + 0.19038759482657422, + 0.25728150082909274, + 0.330678784092971, + 0.41001885613709904, + 0.4945125007594744, + 0.5831613920890429, + 0.6747836402444951, + 0.7680447130250312, + 0.8614929395829652, + 0.9535986795650638, + 1.0427961418954597, + 1.127526763765692, + 1.2062830144105487, + 1.2776514711038482, + 1.3403540270048437, + 1.3932861317852112, + 1.435551035399584, + 1.4664891012519132, + 1.485701375011819, + 1.4930667364965404, + 1.4887521208662668, + 1.473215467945384, + 1.447201240489204, + 1.411728539130045, + 1.3680720288903438, + 1.3177360748598896, + 1.2624226583161626, + 1.2039938048523977, + 1.144429398922824, + 1.0857813809990084, + 1.0301254211515543, + 0.9795112338172853, + 0.9359127409302646, + 0.9011793033365626, + 0.8769892230615853, + 0.8648066718845369, + 0.8658431258646027, + 0.8810242827372, + 0.9109633119059167, + 0.9559411381553904, + 1.0158942937967042, + 1.09041069377066, + 1.1787334986639417, + 1.2797730362663609, + 1.3921265579674003, + 1.51410541671823, + 1.6437690731234624, + 1.778965169902736, + 1.917374766569902, + 2.056561699376234, + 2.1940249294872216, + 2.327252667540975, + 2.453777017033812, + 2.5712278635485166, + 2.677384752093196, + 2.770225540413599, + 2.8479706909951084 + ], + [ + 2.893085742629241, + 2.9433301328261496, + 2.9751987220971703, + 2.988070388042778, + 2.981688731202419, + 2.9561668798372644, + 2.9119839740311284, + 2.8499734250526885, + 2.7713032408391243, + 2.6774488961629186, + 2.570159401971717, + 2.451417388279004, + 2.3233941549599058, + 2.1884007614917538, + 2.048836317266916, + 1.9071346964322993, + 1.7657109338073658, + 1.6269085605630709, + 1.4929491100187129, + 1.3658849658905399, + 1.247556639091375, + 1.1395554469113727, + 1.0431924329191864, + 0.9594742105893268, + 0.8890862423461935, + 0.832383882665083, + 0.7893913236129775, + 0.7598083884431421, + 0.7430249283256136, + 0.7381423936833643, + 0.744001979413056, + 0.7592185867093213, + 0.7822197070960178, + 0.8112882199204624, + 0.8446080057394607, + 0.8803112168322197, + 0.9165260139378647, + 0.9514235759326731, + 0.9832632164916485, + 1.0104344980396431, + 1.031495316989517, + 1.0452050432097328, + 1.050551928057772, + 1.046774145801283, + 1.033373998999092, + 1.0101249952288014, + 0.9770716859581712, + 0.9345223437389544, + 0.8830347365887515, + 0.8233954338288734, + 0.756593241364711, + 0.6837875123302397, + 0.6062722074728428, + 0.5254366854257567, + 0.44272428347413545, + 0.35958980257741957, + 0.2774570349642528, + 0.19767746798631977, + 0.12149126425849387, + 0.049991556309573686, + -0.015906994386523897, + -0.07549453677420268, + -0.1282865648133179, + -0.1740380962215518, + -0.2127511104910513, + -0.2446750374507721, + -0.270300269242981, + -0.29034485102499763, + -0.30573468436375517, + -0.3175777476225437, + -0.3271329953148604, + -0.3357747394038269, + -0.34495343625795666, + -0.3561539003428907, + -0.3708520372267022, + -0.39047123224418584, + -0.41633954603901496, + -0.4496488537425993, + -0.49141702105225005, + -0.5424541389662211, + -0.6033337411515423, + -0.67436980625714, + -0.7556002049374938, + -0.8467770914483836, + -0.9473645663850184, + -1.0565437547661756, + -1.173225256774152, + -1.2960687417101864, + -1.42350927379644, + -1.5537897859157705, + -1.6849989585732628, + -1.81511362029963, + -1.9420446659743484, + -2.063685394181372, + -2.177961096178917, + -2.282878689161832, + -2.3765751763090996, + -2.4573637359927685, + -2.523776292086619, + -2.5746014954253797, + -2.6089171512905556, + -2.626116256835177, + -2.6259259625006592, + -2.6084189390906634, + -2.574016813176797, + -2.5234855235081692, + -2.4579226454401732, + -2.378736924330942, + -2.287620447622125, + -2.186514064288383, + -2.0775668251056354, + -1.9630903636924415, + -1.8455092629058052, + -1.7273085508384582, + -1.61097954289485, + -1.4989652894131489, + -1.393606900962124, + -1.297092005428184, + -1.2114065427247696, + -1.1382910255508711, + -1.0792022899591602, + -1.0352816300969154, + -1.0073300604908877, + -0.9957912803263581, + -1.0007427314258888, + -1.0218949495080745, + -1.0585992114736935, + -1.1098632847125673, + -1.1743748925324087, + -1.2505323274428217, + -1.3364814756095802, + -1.4301583654076753, + -1.5293362242831872, + -1.6316759241862637, + -1.734778619152951, + -1.8362393310138219, + -1.9337002217986328, + -2.024902304552766, + -2.1077343875973846, + -2.1802781196249366, + -2.240848102587555, + -2.2880261636057146, + -2.3206890229919326, + -2.338028759318659, + -2.3395656501940163, + -2.3251531546427606, + -2.2949749950968283, + -2.24953448924303, + -2.189636469625082, + -2.1163623073464115, + -2.031038721100084, + -1.9352012000387473, + -1.8305529951111092, + -1.7189207353849525, + -1.6022078011097243, + -1.482346632071209, + -1.361251167092347, + -1.2407705980098371, + -1.1226455795183157, + -1.0084679660670928, + -0.8996450503633642, + -0.7973691574801014, + -0.7025933071763294, + -0.6160134984159666, + -0.5380579982452189, + -0.4688838365052987, + -0.408380522878245, + -0.3561808181487576, + -0.31167821195604245, + -0.2740505892159222, + -0.24228941107738747, + -0.21523359764989047, + -0.19160718225895257, + -0.17005971358295147, + -0.1492083150098869, + -0.12768027157983616, + -0.1041550048904035, + -0.07740431555234066, + -0.04632982066926468, + -0.00999658913624829, + 0.032337921625857025, + 0.08120040013453268, + 0.1368843156172771, + 0.19943912254735985, + 0.26866633267455153, + 0.34412257284187403, + 0.42512956427944293, + 0.5107907779410825, + 0.6000143453983956, + 0.6915416402793102, + 0.7839807954204254, + 0.8758442896146498, + 0.9655896284335944, + 1.0516620588967096, + 1.1325381999367299, + 1.2067694411899157, + 1.2730239624241664, + 1.330126254979826, + 1.3770930842721536, + 1.4131649173073408, + 1.4378319492254574, + 1.4508539953992161, + 1.452273667314058, + 1.4424224175729552, + 1.4219192177551656, + 1.391661818067781, + 1.3528107251384585, + 1.3067662192181673, + 1.25513890985707, + 1.1997144953154308, + 1.1424135413841765, + 1.0852472261099428, + 1.0302701048197944, + 0.9795310320566987, + 0.9350234314356746, + 0.8986361295661632, + 0.8721059653357133, + 0.8569733510323839, + 0.8545418977605925, + 0.8658431258646023, + 0.8916071637916064, + 0.9322401988154569, + 0.9878092836826483, + 1.0580349283994435, + 1.1422917203079095, + 1.2396170228391021, + 1.3487276085970015, + 1.4680438904874298, + 1.5957212301715604, + 1.7296876307265254, + 1.8676869642795448, + 2.007326749396559, + 2.1461293805118697, + 2.2815856254694604, + 2.4112091494559635, + 2.5325907956898646, + 2.6434513559124935, + 2.7416915969728666, + 2.8254383728325534, + 2.89308574262924 + ], + [ + 2.9306448847548214, + 2.9695512520937815, + 2.989627414869619, + 2.99048071871657, + 2.9720873801782397, + 2.9347922426550213, + 2.879300242157822, + 2.8066597952934202, + 2.718238513174599, + 2.615691826288762, + 2.5009252723709667, + 2.3760513479636725, + 2.2433419510115846, + 2.105177543482249, + 1.9639942371844166, + 1.822230050914498, + 1.6822716017534747, + 1.546402477462322, + 1.41675449093367, + 1.295262942739777, + 1.1836269158690125, + 1.083275500322958, + 0.9953406975089779, + 0.9206375889823021, + 0.8596521751682958, + 0.8125371016559897, + 0.7791152981404319, + 0.7588913628470382, + 0.7510703380223754, + 0.7545833444158839, + 0.7681193789522992, + 0.7901624339973147, + 0.8190329722893913, + 0.8529326917492654, + 0.8899914413734528, + 0.9283151049855662, + 0.9660332547634523, + 1.0013453914484487, + 1.032564632500712, + 1.0581577819877552, + 1.076780814780106, + 1.087308930126526, + 1.0888604727545033, + 1.0808141796462059, + 1.062819383517371, + 1.0347989854051527, + 0.9969451940753137, + 0.9497082145245814, + 0.8937782470429202, + 0.8300613276180665, + 0.7596496956713295, + 0.6837875123302398, + 0.6038328682483654, + 0.5212171114961478, + 0.4374025910033739, + 0.3538399478386107, + 0.27192609437765936, + 0.19296399998724667, + 0.11812535181167338, + 0.048417081898722326, + -0.01534735077681028, + -0.07257116021478564, + -0.12289129692994448, + -0.16618891755920928, + -0.2025929754217656, + -0.2324768267382182, + -0.2564479298347376, + -0.2753308954406804, + -0.2901443205424036, + -0.30207200175038346, + -0.31242927261079634, + -0.32262533896129314, + -0.33412259397922717, + -0.34839397723822046, + -0.36687949773829187, + -0.3909430680457779, + -0.4218307946264016, + -0.4606318381663647, + -0.5082428978752599, + -0.5653372868914363, + -0.6323394540877144, + -0.709405673555603, + -0.7964114701434298, + -0.8929461814320053, + -0.9983148776297017, + -1.1115476755180134, + -1.2314162954102164, + -1.3564575257862592, + -1.4850030834619707, + -1.6152151922880575, + -1.745127054614792, + -1.8726872608700023, + -1.995807076862798, + -2.112409468556587, + -2.220478672128383, + -2.3181090945331895, + -2.4035523371837964, + -2.4752611726556544, + -2.531929370710227, + -2.572526363852594, + -2.5963258618684972, + -2.602927666460591, + -2.592272097800138, + -2.564646620628516, + -2.520684444201373, + -2.4613550633099317, + -2.387946902118003, + -2.3020424138520568, + -2.2054861727780426, + -2.100346665882128, + -1.9888726460307857, + -1.8734450423089466, + -1.756525533410064, + -1.640602973644715, + -1.5281389162574057, + -1.4215135039055395, + -1.3229729907050733, + -1.234580124278458, + -1.1581685505950488, + -1.0953023106426412, + -1.0472413783710466, + -1.0149140467986395, + -0.9988968071273889, + -0.9994021881062797, + -1.0162748340334895, + -1.048995904285879, + -1.0966956798643233, + -1.1581740679443548, + -1.2319285085502083, + -1.3161886127643756, + -1.408956703581581, + -1.5080532924483099, + -1.611166410031005, + -1.7159036215814387, + -1.8198454975226999, + -1.9205992799705727, + -2.015851486506568, + -2.1034182235549133, + -2.1812920423644986, + -2.247684259310107, + -2.3010617767707258, + -2.3401775783511796, + -2.364094229261214, + -2.37219988535455, + -2.3642164983821305, + -2.3402000958804217, + -2.3005332070899467, + -2.24590969663173, + -2.1773124506857098, + -2.095984531631828, + -2.0033945723491446, + -1.9011973168431142, + -1.7911903263056692, + -1.6752679564044335, + -1.555373770487633, + -1.433452583115966, + -1.311403328253815, + -1.1910339166745723, + -1.0740191884997994, + -0.9618629808578931, + -0.8558652196484777, + -0.7570948111876733, + -0.6663689574872819, + -0.5842393519510986, + -0.5109855345824004, + -0.44661550187529875, + -0.39087348104398323, + -0.34325459579374573, + -0.30302597603617, + -0.2692537011793403, + -0.240834819954174, + -0.21653356283191186, + -0.1950207591059015, + -0.17491539223345098, + -0.154827175997238, + -0.13339901169489288, + -0.10934819342181366, + -0.08150526436266001, + -0.0488494909083887, + -0.010540011719939254, + 0.03405816674534751, + 0.08535402116066924, + 0.14351674833552633, + 0.2084687608082218, + 0.2798856368326208, + 0.35720303876883164, + 0.4396304316070641, + 0.526171255218949, + 0.6156490344669031, + 0.7067387548191305, + 0.7980026916007552, + 0.8879297620218042, + 0.9749773737072815, + 1.057614674070329, + 1.1343660633211319, + 1.2038538212978498, + 1.2648387150214122, + 1.316257499557059, + 1.3572562983266123, + 1.3872189486699547, + 1.4057895217566971, + 1.412888369857028, + 1.4087212149290813, + 1.3937809664698908, + 1.368842139274702, + 1.3349479285946346, + 1.2933901865019064, + 1.2456827243944304, + 1.1935285379464857, + 1.1387817081217588, + 1.0834048711322903, + 1.029423267915655, + 0.978876476806067, + 0.9337689991909639, + 0.8960209053362026, + 0.8674197552033763, + 0.8495749866813145, + 0.8438759116641509, + 0.8514543800188714, + 0.8731530645903633, + 0.909500189546001, + 0.9606913727172863, + 1.0265790838257896, + 1.106670038688148, + 1.2001306591130658, + 1.305800533885435, + 1.4222136227377347, + 1.5476267572840536, + 1.680054815155235, + 1.8173117803999406, + 1.9570567586292384, + 2.0968438929542565, + 2.2341750295306086, + 2.366553911897922, + 2.4915406430318323, + 2.6068051441337543, + 2.7101783599529576, + 2.7997000113949677, + 2.873661776110035, + 2.9306448847548205 + ], + [ + 2.9603303500337628, + 2.987563682049569, + 2.9956600279728542, + 2.98445853562495, + 2.9541682589626497, + 2.9053628672411427, + 2.8389671646046053, + 2.756235747214782, + 2.6587243110283096, + 2.548254296778832, + 2.4268717154032426, + 2.296801133278759, + 2.1603959089214495, + 2.020085858536208, + 1.8783235849553006, + 1.7375307317120683, + 1.6000454206586567, + 1.4680720977917772, + 1.343634948684378, + 1.2285359537427778, + 1.1243185367101687, + 1.0322376203359536, + 0.9532367443966078, + 0.8879327272248677, + 0.8366081668863593, + 0.7992118867046678, + 0.7753672366950924, + 0.764387972373792, + 0.7653012500277182, + 0.776877107326256, + 0.7976636442820523, + 0.8260269857675722, + 0.8601949963020334, + 0.8983036332929655, + 0.9384447683509891, + 0.9787142790011073, + 1.0172592156652098, + 1.0523228810229253, + 1.0822867198684076, + 1.105708005752914, + 1.1213524237484749, + 1.128220783683732, + 1.1255692517451228, + 1.1129226565062764, + 1.0900806039902704, + 1.0571163207773042, + 1.0143683298008788, + 0.9624252456634572, + 0.9021041504775074, + 0.8344231730381243, + 0.7605690395150904, + 0.6818604891893608, + 0.5997085509341207, + 0.5155747526222518, + 0.4309283845473312, + 0.347203958086624, + 0.26575999174872916, + 0.18784021870800097, + 0.11453824393320705, + 0.04676658677258736, + -0.014769071275285229, + -0.06958975093208396, + -0.11745662347022211, + -0.15837768281988232, + -0.1926074585070106, + -0.22063976845410815, + -0.2431936927728413, + -0.2611931272704953, + -0.27574044396915554, + -0.28808494121026346, + -0.299586903933566, + -0.3116782119560422, + -0.32582052753120866, + -0.34346216073622315, + -0.3659947505640744, + -0.39471090994247776, + -0.4307639639392381, + -0.4751308625616534, + -0.5285792739575471, + -0.5916397623192103, + -0.6645838298737935, + -0.7474084571014853, + -0.8398276133582123, + -0.9412710354209862, + -1.0508903884754162, + -1.1675727372980709, + -1.2899610695268593, + -1.4164814326230049, + -1.5453760759425508, + -1.6747418335447308, + -1.8025728459112993, + -1.9268066031285904, + -2.0453722012505677, + -2.1562396398641157, + -2.2574689539953834, + -2.347257968393733, + -2.4239874871364013, + -2.4862627858962876, + -2.5329503568591365, + -2.5632089652140175, + -2.5765142087657815, + -2.5726759253325553, + -2.5518479624837447, + -2.514530006711136, + -2.461561359853437, + -2.394106744848389, + -2.3136344159057685, + -2.2218870352405777, + -2.1208459549786713, + -2.0126897043996115, + -1.8997476253265326, + -1.7844497186819475, + -1.669273860019677, + -1.5566916088547822, + -1.4491138741629273, + -1.3488377055462246, + -1.2579954560482818, + -1.1785075089812147, + -1.112039678675062, + -1.059966285755558, + -1.0233397740389176, + -1.0028675816356176, + -0.9988968071273887, + -1.0114070268939037, + -1.0400114263090914, + -1.0839662103026138, + -1.1421880624850038, + -1.2132792314364624, + -1.2955596424896445, + -1.387105267770957, + -1.4857918404159096, + -1.5893428742932225, + -1.6953808512635125, + -1.8014803663429413, + -1.905221978842093, + -2.0042455055858373, + -2.096301510926573, + -2.1792997969262045, + -2.2513537745503114, + -2.3108197010343883, + -2.3563298971339446, + -2.3868192075539794, + -2.401544134752976, + -2.4000942563979706, + -2.382395725559031, + -2.348706845616112, + -2.2996059040604244, + -2.2359716361837787, + -2.158956866484242, + -2.06995603815184, + -1.9705674852741017, + -1.8625514249180872, + -1.7477847440496725, + -1.6282137270073145, + -1.50580591129672, + -1.3825022718712827, + -1.260170916604511, + -1.1405634288818067, + -1.0252749184027774, + -0.9157087403510282, + -0.8130467186596364, + -0.7182255643611246, + -0.6319200186431942, + -0.5545330763260029, + -0.4861934634279541, + -0.4267603568835392, + -0.375835149988003, + -0.332779888401816, + -0.2967418330327398, + -0.26668345204107125, + -0.2414170084311376, + -0.2196427955815154, + -0.19998998346112598, + -0.18105897539229854, + -0.16146414059516936, + -0.13987578220823532, + -0.11506022412316275, + -0.08591695215954293, + -0.051511824480737975, + -0.011105470675585656, + 0.03582387406923515, + 0.08956370704166366, + 0.15015721389771303, + 0.21740011478351529, + 0.2908444929133302, + 0.3698095152131235, + 0.45339877422065344, + 0.5405238067955578, + 0.6299331827502683, + 0.7202464093981765, + 0.8099917699793544, + 0.8976471082391254, + 0.9816824908131065, + 1.0606036255983604, + 1.1329948893675479, + 1.1975608221979708, + 1.25316497979248, + 1.2988650966831023, + 1.333943602133934, + 1.3579326441227821, + 1.370632912281382, + 1.3721257047569835, + 1.3627778527964967, + 1.3432392962439128, + 1.31443328860559, + 1.2775393972380344, + 1.2339696478653546, + 1.1853383384259388, + 1.1334262107535116, + 1.0801398156872064, + 1.0274670341487984, + 0.9774298202869136, + 0.9320353103067046, + 0.8932264900599498, + 0.8628336345385155, + 0.8425277224945839, + 0.8337769896481667, + 0.8378077152206004, + 0.8555702404565865, + 0.8877110966524808, + 0.9345519769058147, + 0.9960761238058916, + 1.0719225285320688, + 1.1613881496221365, + 1.2634381665914194, + 1.376724089351108, + 1.4996093537561292, + 1.630201851292514, + 1.7663926713789089, + 1.9059001821870911, + 2.0463184440513253, + 2.185168841701526, + 2.3199537404006416, + 2.4482109186208336, + 2.5675675074825177, + 2.675792175395263, + 2.7708443350214136, + 2.850919217924381, + 2.914487758432978, + 2.960330350033762 + ], + [ + 2.9818909859969787, + 2.9972150293853685, + 2.993245522770234, + 2.9700547891619404, + 2.9280829714296277, + 2.8681277394285747, + 2.7913259774585035, + 2.6991278910806598, + 2.5932641514808963, + 2.4757068596486134, + 2.3486252576701094, + 2.214337236901628, + 2.0752577897390942, + 1.9338456208127006, + 1.7925491730638379, + 1.653753333392342, + 1.5197280612227453, + 1.3925801320083508, + 1.2742091076852362, + 1.1662685394207628, + 1.070133277339875, + 0.9868736105099536, + 0.917236792077662, + 0.8616363232466102, + 0.8201491802379817, + 0.7925209751593343, + 0.7781788495728043, + 0.7762517132195628, + 0.7855972643865158, + 0.8048350670922163, + 0.832384817548693, + 0.8665088116832225, + 0.9053575297847689, + 0.9470171858555174, + 0.9895580496004597, + 1.0310823390607848, + 1.0697705018338972, + 1.1039247520267255, + 1.1320088072361034, + 1.1526828729253449, + 1.1648330479138678, + 1.1675944710874329, + 1.160367692148458, + 1.1428279241380075, + 1.1149270181567474, + 1.0768881865892979, + 1.0291936855225692, + 0.9725658453176244, + 0.9079420059819421, + 0.8364440669030357, + 0.7593434948310673, + 0.6780227463953625, + 0.5939341491208618, + 0.5085573457133385, + 0.42335643882223695, + 0.3397379767975807, + 0.2590108950958961, + 0.18234947365674256, + 0.11076028917893146, + 0.045054034866793456, + -0.014177048388206093, + -0.06657553299773229, + -0.11202852423083769, + -0.15067047858408947, + -0.1828790417383831, + -0.2092640094678555, + -0.23064969490044646, + -0.24805115843057526, + -0.2626449179576492, + -0.27573490286357016, + -0.28871454153341675, + -0.30302597603616965, + -0.32011747615277925, + -0.34140017623617813, + -0.3682052810654965, + -0.4017428802868716, + -0.44306347532283247, + -0.49302325862119795, + -0.552254094355141, + -0.6211390344054191, + -0.6997940664998828, + -0.7880566361495339, + -0.885481314364216, + -0.9913428032833338, + -1.104646286309717, + -1.2241449427320608, + -1.3483642638432423, + -1.4756326328074587, + -1.6041174684027049, + -1.7318660873646474, + -1.8568503150739009, + -1.977013772950605, + -2.090320695756863, + -2.1948050850213185, + -2.2886189872570295, + -2.370078698080586, + -2.4377077355513057, + -2.4902754970883643, + -2.5268306125285274, + -2.546728128918303, + -2.549649807532532, + -2.5356169768700814, + -2.504995563028387, + -2.4584931065702915, + -2.397147768180071, + -2.322309519327936, + -2.2356139040636087, + -2.1389489392702785, + -2.034415888766727, + -1.9242847974002029, + -1.8109458009975663, + -1.6968573335201713, + -1.5844924313733595, + -1.4762843845851081, + -1.3745730042267728, + -1.2815527644754972, + -1.199224036337615, + -1.1293485592350174, + -1.0734101980948048, + -1.0325819096499, + -1.0076996953510222, + -0.9992441531542162, + -1.0073300604908868, + -1.0317042303208357, + -1.071751685941112, + -1.1265100029451336, + -1.1946914731932252, + -1.2747125605703766, + -1.3647299461641738, + -1.4626823054710576, + -1.5663368260866513, + -1.67333936429605, + -1.7812670557004129, + -1.887682140486171, + -1.9901857394458702, + -2.0864703229405617, + -2.1743696514480035, + -2.251905032219115, + -2.317326830197236, + -2.3691502903916795, + -2.406184870369829, + -2.427556441925481, + -2.4327218963204804, + -2.421475873447548, + -2.393949527236606, + -2.35060143289772, + -2.2922009314115, + -2.2198043883875904, + -2.13472501356902, + -2.0384970397393154, + -1.9328351918860363, + -1.819590485996818, + -1.7007034792102547, + -1.5781561472665764, + -1.4539235900554526, + -1.3299267610255683, + -1.207987381529919, + -1.0897861377964229, + -0.9768251678093042, + -0.8703957303062182, + -0.771551811290799, + -0.6810902684171427, + -0.5995379442550103, + -0.5271460000747111, + -0.46389153692238716, + -0.409486385041206, + -0.36339276079596033, + -0.3248453167373634, + -0.29287894963916783, + -0.26636158727187575, + -0.24403105093031988, + -0.22453499038269573, + -0.20647281343798124, + -0.18843848556596726, + -0.16906305707992175, + -0.14705578671054859, + -0.12124277062999403, + -0.09060205406791633, + -0.05429429683957075, + -0.011688181964549633, + 0.03762010491456818, + 0.09379384193005814, + 0.15674953096033625, + 0.2261576211771256, + 0.301450184035298, + 0.38183534567953537, + 0.46631810571145393, + 0.5537270035899672, + 0.6427459398903631, + 0.7319503231464259, + 0.8198465975280205, + 0.9049141151204655, + 0.9856482514262541, + 1.0606036255983604, + 1.1284362788280888, + 1.1879436855102785, + 1.2381015218198315, + 1.2780961939564215, + 1.3073522316530244, + 1.3255537790544965, + 1.3326595616242203, + 1.328910870691145, + 1.3148322825495544, + 1.2912250122955, + 1.2591529892447766, + 1.2199219261509144, + 1.175051833873768, + 1.126243602124132, + 1.0753404211628135, + 1.0242849549575286, + 0.9750732898467406, + 0.9297067713179614, + 0.8901429027861613, + 0.8582465126365997, + 0.835742398370973, + 0.8241706293002751, + 0.8248456324398455, + 0.8388201013895351, + 0.8668546570319865, + 0.9093940545121243, + 0.9665505764139211, + 1.0380950810752811, + 1.1234559917411278, + 1.22172632122268, + 1.3316786325827297, + 1.4517876438636066, + 1.5802599987458017, + 1.7150705498518435, + 1.854004341510605, + 1.9947033381221488, + 2.1347168262957616, + 2.2715543266044707, + 2.402739786412699, + 2.5258657904111006, + 2.638646521132212, + 2.7389682279729346, + 2.824936019517114, + 2.8949158788969123, + 2.947570913516962, + 2.981890985996978 + ], + [ + 2.9951443799079214, + 2.9984236393354355, + 2.982404327068349, + 2.9473913415403885, + 2.8940522109154307, + 2.8234018852476996, + 2.736779746720657, + 2.635819385195549, + 2.5224118571031915, + 2.3986632990443164, + 2.266847899610916, + 2.129357340710969, + 1.9886479004782418, + 1.847186461747021, + 1.7073966918479953, + 1.571606650654809, + 1.441999044650589, + 1.3205652763030744, + 1.2090643419666485, + 1.1089875102752238, + 1.0215295695715143, + 0.9475672708955344, + 0.8876454164389236, + 0.8419708565244445, + 0.8104144656979845, + 0.7925209751593341, + 0.7875263492563519, + 0.7943822127683914, + 0.8117866676332413, + 0.8382206867230236, + 0.8719891419148754, + 0.9112654171787838, + 0.9541384772680542, + 0.9986612107391083, + 1.04289884363347, + 1.0849762276796766, + 1.1231228440268992, + 1.155714429281044, + 1.181310223245167, + 1.1986849548723986, + 1.206854821520639, + 1.2050968731253962, + 1.1929613834122226, + 1.1702769704449465, + 1.137148414109823, + 1.093947303909493, + 1.0412958320224293, + 0.9800442194253349, + 0.9112424226569972, + 0.8361069115362386, + 0.7559834302818527, + 0.6723067529888805, + 0.5865585168608761, + 0.5002242612072699, + 0.4147508159152704, + 0.3315051695515813, + 0.2517359048308443, + 0.1765382190211955, + 0.10682345075561187, + 0.043293915145402206, + -0.013576290897090991, + -0.06355400805940455, + -0.10665292338759955, + -0.1431325112872156, + -0.17349003192390444, + -0.19844579384807357, + -0.21892206411577728, + -0.2360161759241146, + -0.2509685365837354, + -0.265126373623173, + -0.2799041705160543, + -0.2967418330327395, + -0.3170616902392608, + -0.3422254690600145, + -0.3734923871542396, + -0.41197948542784285, + -0.45862526934528725, + -0.5141576485779329, + -0.5790670593744984, + -0.653585525959639, + -0.7376722694313119, + -0.8310063087114898, + -0.9329863221923931, + -1.0427378552051993, + -1.1591277719121051, + -1.280785665362794, + -1.4061317609076993, + -1.533410680419834, + -1.6607302820814343, + -1.786104656711469, + -1.907500250152644, + -2.0228839949603494, + -2.130272275778735, + -2.227779522911102, + -2.313665228536377, + -2.3863782098941013, + -2.4445970029184347, + -2.4872653568794276, + -2.5136219135246516, + -2.5232232902981764, + -2.5159599431594626, + -2.492064356546529, + -2.452111291934408, + -2.3970100177381606, + -2.3279886373143173, + -2.2465708237650928, + -2.1545454554263923, + -2.0539298197629874, + -1.9469272116124172, + -1.8358798904007947, + -1.7232184766609928, + -1.6114089580380933, + -1.502898536721493, + -1.400061582337699, + -1.305146955938731, + -1.220227941741599, + -1.1471559643781966, + -1.0875191819993968, + -1.042606931740025, + -1.0133808665390927, + -1.000453464450276, + -1.0040744171990084, + -1.024125218078338, + -1.0601220748614946, + -1.111227075970434, + -1.176267342476397, + -1.2537617093763322, + -1.3419543015827258, + -1.4388542075047897, + -1.542280309926735, + -1.64991021356801, + -1.7593321141425229, + -1.8680983871882193, + -1.973779637995128, + -2.074017947472783, + -2.1665780728727704, + -2.249395416275812, + -2.320619656288824, + -2.378653047401351, + -2.4221825242011255, + -2.4502049008451716, + -2.4620446260290927, + -2.4573637359927694, + -2.43616383834775, + -2.3987801530245094, + -2.3458678286595323, + -2.2783809385625733, + -2.197544735475283, + -2.1048219043807457, + -2.0018736937561834, + -1.8905169244610693, + -1.7726779690626266, + -1.6503448605924727, + -1.5255187269581394, + -1.4001657546785502, + -1.2761708631912672, + -1.155294219350089, + -1.0391316422779902, + -0.9290798435331626, + -0.826307319292813, + -0.731731563234965, + -0.6460031047633266, + -0.5694967013251099, + -0.5023098302551025, + -0.44426843945567335, + -0.39493973196664683, + -0.35365158171066496, + -0.3195180108671038, + -0.29147000759693853, + -0.26829082999334664, + -0.2486548314693101, + -0.23116875705369136, + -0.21441440136134896, + -0.19699148875912142, + -0.1775596351794852, + -0.154878279114754, + -0.12784352580122546, + -0.09552093200560255, + -0.057173367009648195, + -0.012283215585646684, + 0.03943166235559136, + 0.098008636970539, + 0.1632379255379886, + 0.2346671875221459, + 0.3116129812525024, + 0.39317878620057084, + 0.47827912268898937, + 0.5656691405827818, + 0.6539789041639434, + 0.7417514756574874, + 0.827483797946331, + 0.90966930049925, + 0.98684110341741, + 1.057614674070329, + 1.1207287996107131, + 1.175083776562955, + 1.2197757847742081, + 1.2541265056921205, + 1.2777071619108842, + 1.290356293315179, + 1.2921907415149088, + 1.283609484710645, + 1.2652901454081615, + 1.2381781790035873, + 1.2034689375394743, + 1.1625829852108742, + 1.1171352158941312, + 1.0688984836987963, + 1.0197626012384482, + 0.9716896833291111, + 0.9266669130113523, + 0.8866578795980015, + 0.8535536829685912, + 0.829125013358535, + 0.8149764009504765, + 0.8125037849355533, + 0.8228564783798186, + 0.8469045049258562, + 0.8852121584745869, + 0.9380184905341509, + 1.0052252654389495, + 1.0863927451331608, + 1.18074347703506, + 1.2871740652547037, + 1.4042747118655468, + 1.5303561257851095, + 1.6634832167553064, + 1.8015148253687059, + 1.9421485911762755, + 2.0829699333220164, + 2.2215040150480347, + 2.355269487370934, + 2.481832760156405, + 2.598861531914149, + 2.704176323361822, + 2.7957988038744723, + 2.8719957733124604, + 2.931317762652019, + 2.9726313428996782, + 2.995144379907921 + ], + [ + 2.9999784020568754, + 2.9911792865126894, + 2.9632281622885337, + 2.916659935782501, + 2.8523638930531026, + 2.7715637056635662, + 2.675789958185559, + 2.566845848166663, + 2.4467668703666585, + 2.317775438351261, + 2.182231514679518, + 2.042580413082396, + 1.9012989999934593, + 1.760841557038581, + 1.6235865698307954, + 1.4917856816072261, + 1.3675159935951686, + 1.2526368089423086, + 1.1487518057249368, + 1.0571774897326927, + 0.9789186227662349, + 0.9146511509121554, + 0.8647129739085463, + 0.8291027058055651, + 0.807486383356385, + 0.7992118867046678, + 0.8033306516686214, + 0.8186260787899506, + 0.8436478855655872, + 0.8767515087694364, + 0.916141546875301, + 0.9599181411191696, + 1.0061251298625504, + 1.052798776124035, + 1.0980158631955172, + 1.1399399781728046, + 1.1768648572870528, + 1.2072537486812132, + 1.2297738556070168, + 1.2433250531646245, + 1.2470622213490055, + 1.2404107025063504, + 1.2230745681595119, + 1.1950375640745017, + 1.1565567887844372, + 1.1081493448860218, + 1.0505723796647866, + 0.9847970975576349, + 0.9119774774841459, + 0.8334145594247007, + 0.7505172735339793, + 0.6647608688606504, + 0.5776440553405945, + 0.4906460007697313, + 0.4051843232903132, + 0.3225751896233147, + 0.2439965706631867, + 0.17045562064519934, + 0.10276103609774921, + 0.04150111901771984, + -0.012971881482160618, + -0.06055073958533456, + -0.10137530095612854, + -0.13582755554356116, + -0.1645198643351806, + -0.1882766485942041, + -0.2081100214820856, + -0.2251900011490098, + -0.24081008731746004, + -0.2563491064468598, + -0.27323033060702384, + -0.2928789496391676, + -0.3166790231222405, + -0.3459310568569931, + -0.3818113375203501, + -0.4253341190537824, + -0.4773176861873804, + -0.5383552259294038, + -0.6087913191985512, + -0.6887047249811173, + -0.7778979719311987, + -0.8758941011225314, + -0.9819407229802568, + -1.0950213657907975, + -1.2138739072612308, + -1.3370156990465965, + -1.4627748215549767, + -1.589326747032467, + -1.714735546957428, + -1.83699865874529, + -1.9540941297774062, + -2.064029186323108, + -2.1648889328709022, + -2.254883974867815, + -2.3323957752986484, + -2.3960186025887213, + -2.444597002918435, + -2.4772578324177497, + -2.493436011418087, + -2.492893310924424, + -2.4757296471440076, + -2.442386539237619, + -2.393642574065671, + -2.3306009149676776, + -2.254669084798162, + -2.1675314417964704, + -2.071114945753482, + -1.967548976941325, + -1.8591201173135437, + -1.748222928918278, + -1.6373078651777675, + -1.5288275241581224, + -1.4251824973344915, + -1.3286680815107785, + -1.2414231050829632, + -1.1653820730946578, + -1.102231759619874, + -1.0533732727337755, + -1.019890489182722, + -1.0025256059364247, + -1.001662387729057, + -1.0173175075504555, + -1.0491401852566562, + -1.096420132691845, + -1.1581036167345908, + -1.2328172592885163, + -1.318899010106629, + -1.41443555891731, + -1.5173053017189397, + -1.6252258460017863, + -1.735804934184504, + -1.846593586256777, + -1.9551402133709193, + -2.059044435081325, + -2.156009344508417, + -2.243891007568867, + -2.320744053490009, + -2.384862312321978, + -2.4348135786146807, + -2.469467725767339, + -2.4880175591828584, + -2.4899919742212164, + -2.4752611726556553, + -2.444033884269141, + -2.3968467336426915, + -2.3345460813353847, + -2.258262848906763, + -2.169381004183103, + -2.0695005327544624, + -1.9603958502817145, + -1.84397071469085, + -1.7222107752369322, + -1.597134944897367, + -1.4707468024765173, + -1.344987220778999, + -1.221689377588879, + -1.1025372380609901, + -0.9890285022800148, + -0.8824428926227347, + -0.7838165152182195, + -0.693922871809555, + -0.6132609266813102, + -0.5420504523624973, + -0.4802346921023458, + -0.4274901913119339, + -0.38324346892730776, + -0.34669402751511275, + -0.31684304220933307, + -0.29252692719328266, + -0.2724548579390681, + -0.2552492307724638, + -0.239487970926652, + -0.22374755780378797, + -0.2066456226944689, + -0.18688198999839203, + -0.16327707759539378, + -0.1348066442612327, + -0.10063197003943113, + -0.060124676754537344, + -0.012885537285186542, + 0.04124321979661454, + 0.10217243308984726, + 0.16956750287651118, + 0.2428568190366747, + 0.32124690270176776, + 0.4037438661364567, + 0.48918062953720787, + 0.5762491818911636, + 0.6635370396102809, + 0.7495669447460452, + 0.8328387570628747, + 0.9118724333554289, + 0.9852509547189571, + 1.0516620588967094, + 1.1099376604772742, + 1.1590898960048692, + 1.198342812683506, + 1.2271588262993223, + 1.2452592036120793, + 1.252637973561228, + 1.249568836483922, + 1.2366048170399897, + 1.2145705902706068, + 1.1845475965817907, + 1.147852245764431, + 1.1060076878044338, + 1.0607097947221198, + 1.0137881488007718, + 0.9671629644862263, + 0.9227989805995621, + 0.8826574434947958, + 0.8486473582308305, + 0.8225772122104624, + 0.8061083732872772, + 0.8007113320119248, + 0.8076258961830519, + 0.8278263566115364, + 0.8619925281174117, + 0.9104874320153188, + 0.9733422290371095, + 1.050248838611252, + 1.1405604958866584, + 1.243300306365396, + 1.3571776641882551, + 1.4806122087590377, + 1.611764810205917, + 1.7485749017013477, + 1.8888033201557477, + 2.0300796801380216, + 2.1699531924502136, + 2.30594575141965, + 2.4356060558592896, + 2.55656349928391, + 2.6665805661259125, + 2.763602502391911, + 2.845803090711619, + 2.911625449595562, + 2.9598168927810913, + 2.989457024008576, + 2.9999784020568754 + ], + [ + 2.99635215442904, + 2.9755432614201176, + 2.935879267462139, + 2.878120573487107, + 2.803370719875939, + 2.7130517751325014, + 2.60887261306241, + 2.492790827328148, + 2.3669691820888357, + 2.233727625473088, + 2.0954919957817877, + 1.9547406260906552, + 1.8139500995086772, + 1.6755414236527293, + 1.5418278785690165, + 1.4149657477671378, + 1.296909068372378, + 1.1893694354979074, + 1.09378177030844, + 1.0112768140112611, + 0.942660944815683, + 0.8884037358295905, + 0.8486334833273862, + 0.8231407414679582, + 0.8113897061147656, + 0.8125371016559896, + 0.8254580452596761, + 0.8487781972072231, + 0.8809113578624806, + 0.9201015450415457, + 0.9644684831048123, + 1.0120553594442345, + 1.0608776569630791, + 1.1089718537096134, + 1.1544427933603694, + 1.1955085723396148, + 1.2305418598636386, + 1.2581066642632999, + 1.2769896800618281, + 1.2862254923705945, + 1.2851150746023636, + 1.2732371882540423, + 1.250452475220992, + 1.2169002192002703, + 1.1729879385484532, + 1.1193741538257265, + 1.0569448446589014, + 0.986784268214823, + 0.9101409515669345, + 0.8283897890855887, + 0.7429912707469982, + 0.6554489356049484, + 0.5672661849383184, + 0.4799036008182364, + 0.3947378978038594, + 0.31302358868383606, + 0.23585837086207032, + 0.1641531400634221, + 0.09860741507161262, + 0.039690814350236046, + -0.01236893372056366, + -0.05759113658580744, + -0.09624030801034625, + -0.12881741458424764, + -0.15604443064905918, + -0.17884260927668558, + -0.19830504177255745, + -0.21566422844275812, + -0.2322555152363666, + -0.2494773609867009, + -0.2687494855119025, + -0.2914700075969383, + -0.3189727123386872, + -0.35248558867755403, + -0.3930917500793629, + -0.44169379492117394, + -0.49898257954421266, + -0.5654112682216885, + -0.6411753931388069, + -0.7261995071545134, + -0.8201308463540559, + -0.9223402423469034, + -1.031930340345023, + -1.1477509928820158, + -1.2684215152791314, + -1.3923593122541225, + -1.5178142198607203, + -1.642907757419506, + -1.7656763540521736, + -1.8841175071791059, + -1.9962377486425906, + -2.1001012401015413, + -2.193877794450149, + -2.2758891249629993, + -2.3446521586425666, + -2.3989183140799235, + -2.4377077355513057, + -2.460337591888732, + -2.4664436880748797, + -2.4559947961470203, + -2.4292992859948734, + -2.3870038217572547, + -2.3300840812327395, + -2.259827649318743, + -2.177809427223368, + -2.0858600823592526, + -1.9860282349094462, + -1.88053723182334, + -1.7717374936210382, + -1.6620555305120228, + -1.553940809196033, + -1.4498117081794089, + -1.3520018260724773, + -1.2627079034272701, + -1.1839405842730815, + -1.117479179401465, + -1.0648315011633376, + -1.027199721281741, + -1.0054530618062374, + -1.000107968258656, + -1.0113162371493822, + -1.0388613816716175, + -1.082163324084112, + -1.1402913058175836, + -1.2119847114868416, + -1.2956813154961317, + -1.3895522843449721, + -1.491543108338937, + -1.5994194970500475, + -1.7108171569277333, + -1.823294279731914, + -1.9343855090984596, + -2.0416561210121316, + -2.1427551529786513, + -2.2354662462323205, + -2.3177550246168206, + -2.387811921334136, + -2.4440894783784044, + -2.485333280330229, + -2.510605840888272, + -2.51930293318293, + -2.511162039289828, + -2.486262785896288, + -2.44501942706199, + -2.388165626694005, + -2.3167319780307887, + -2.232016870586096, + -2.135551472422016, + -2.0290597334772316, + -1.914414430640641, + -1.793590364572435, + -1.6686158798161665, + -1.541523912089481, + -1.414303769087403, + -1.2888548237221609, + -1.1669432422397537, + -1.0501627855971347, + -0.9399006130388091, + -0.8373088847861835, + -0.7432828095122169, + -0.6584456156526559, + -0.5831407478136721, + -0.5174314050529655, + -0.46110735127432745, + -0.41369874406270873, + -0.3744965516011213, + -0.34257896226612683, + -0.3168430422093329, + -0.29604076641015353, + -0.27881844154837504, + -0.26375845723767655, + -0.2494222476877253, + -0.23439332003849378, + -0.21731920903037122, + -0.19695125019646054, + -0.17218112451682208, + -0.142073214876997, + -0.10589192647486477, + -0.06312325665831353, + -0.013490051149037422, + 0.04303945064194758, + 0.10625000268867434, + 0.17568471188745366, + 0.25065722773224847, + 0.33027044104823394, + 0.4134412001301822, + 0.49893039457518523, + 0.5853776155781206, + 0.6713394800783935, + 0.7553306080070699, + 0.8358661695003792, + 0.9115048741881095, + 0.9808912587084349, + 1.0427961418954594, + 1.0961541593478867, + 1.1400973593028567, + 1.1739839381901434, + 1.1974213145487047, + 1.2102828811666861, + 1.2127179338454968, + 1.2051544471344544, + 1.1882945484375271, + 1.1631027275242145, + 1.1307870040255137, + 1.0927734562989033, + 1.0506746865482655, + 1.0062529549536436, + 0.9613788558010075, + 0.9179865276346785, + 0.8780264842372691, + 0.8434172213236939, + 0.8159967934271716, + 0.7974755654714009, + 0.7893913236129777, + 0.7930678804935548, + 0.8095782321888862, + 0.8397132197162627, + 0.8839565194605924, + 0.9424666374028362, + 1.015066415209091, + 1.101240376128392, + 1.2001400496532129, + 1.310597220648713, + 1.431144855899366, + 1.560045273496372, + 1.695324942817979, + 1.8348151394248546, + 1.976197534048576, + 2.117053671593955, + 2.2549171977741413, + 2.3873276201105815, + 2.5118843483474134, + 2.62629974792615, + 2.728449959373747, + 2.816422285857232, + 2.888558029590536, + 2.9434897633724306, + 2.980172153747234, + 2.9979056039677654, + 2.99635215442904 + ], + [ + 2.9842963167202434, + 2.951647851905386, + 2.900589026614912, + 2.832099315098488, + 2.7474871957986804, + 2.648361131063748, + 2.536593862371396, + 2.4142808616665765, + 2.283693916821419, + 2.147230942938814, + 2.007363198497679, + 1.866581144081653, + 1.7273402102478244, + 1.592007739316661, + 1.4628123335869632, + 1.3417967805362465, + 1.2307756355196002, + 1.1312984265780237, + 1.0446193070910068, + 0.971673823597825, + 0.9130632920821069, + 0.8690470906565287, + 0.8395429844618119, + 0.8241354044277398, + 0.8220914100963161, + 0.832383882665083, + 0.853721322266976, + 0.8845834674544095, + 0.9232618186863761, + 0.9679040346163744, + 1.0165610828547205, + 1.0672359676945884, + 1.1179328274145692, + 1.166705193840862, + 1.2117022367653552, + 1.2512118747283814, + 1.283699720025738, + 1.307842937350273, + 1.3225582293693088, + 1.3270233153619562, + 1.3206914369230773, + 1.303298603444892, + 1.274863475114279, + 1.2356799678669244, + 1.1863028484396876, + 1.127526763765693, + 1.0603593130673499, + 0.9859889190339345, + 0.9057483827456603, + 0.8210751123497061, + 0.7334690953100426, + 0.6444497363908155, + 0.555512707133691, + 0.4680879469173664, + 0.3834999209425863, + 0.3029311775992421, + 0.22739015828039008, + 0.15768409911349057, + 0.09439772919061817, + 0.037878317139609936, + -0.011772548823200203, + -0.05470023864143481, + -0.09129138891418483, + -0.12216139737391582, + -0.14813543686970235, + -0.1702234921370957, + -0.18959007955233934, + -0.20751945015291579, + -0.22537719589124905, + -0.24456927531878947, + -0.26649954520780067, + -0.2925269271932825, + -0.32392335223992347, + -0.36183361021653576, + -0.4072381874365837, + -0.4609201027693418, + -0.5234366546145091, + -0.5950968690939958, + -0.6759452972757701, + -0.7657526496560577, + -0.8640135834716726, + -0.9699517770127288, + -1.0825322395032255, + -1.2004806199732339, + -1.3223090985189014, + -1.4463482729743664, + -1.5707842976096522, + -1.6937003919873928, + -1.8131217210866721, + -1.927062555233644, + -2.033574552662394, + -2.1307949703978926, + -2.216993601629905, + -2.2906172601219117, + -2.3503306840189655, + -2.3950528114963574, + -2.4239874871364018, + -2.436647788183746, + -2.4328733107646787, + -2.4128399240977503, + -2.37706168157736, + -2.3263847669562847, + -2.2619735470455273, + -2.185288994644014, + -2.0980599320724105, + -2.002247722110989, + -1.900005194970202, + -1.793630743145994, + -1.6855186370724273, + -1.578106710363738, + -1.4738226317334182, + -1.3750300196601966, + -1.2839756645289586, + -1.2027391010410815, + -1.1331857216462737, + -1.0769245408189714, + -1.0352716121189394, + -1.0092199677322444, + -0.9994167967791868, + -1.006148407814534, + -1.029333336776739, + -1.0685237686387155, + -1.1229152438630832, + -1.1913644242621346, + -1.2724145017841086, + -1.3643276527374173, + -1.4651237734203344, + -1.5726245850879343, + -1.6845020702485145, + -1.7983301014836324, + -1.9116380507575281, + -2.0219651232740317, + -2.126914146384317, + -2.224203561134164, + -2.3117164113012505, + -2.387545201008556, + -2.450031595297675, + -2.497800065832667, + -2.5297847330110574, + -2.545248822494792, + -2.5437963344245538, + -2.5253757129048826, + -2.490275497088365, + -2.4391121285883064, + -2.372810278271482, + -2.292576234120674, + -2.1998650564536075, + -2.0963423533387577, + -1.9838416540106085, + -1.8643184584499555, + -1.7398021146651934, + -1.6123467198675552, + -1.483982256670648, + -1.3566671603940323, + -1.2322434689873358, + -1.1123956342218528, + -0.9986139735260767, + -0.8921636187279772, + -0.7940596741531777, + -0.7050491356667892, + -0.6255999484049964, + -0.5558973985031687, + -0.49584784767699924, + -0.4450896337296728, + -0.40301077959242754, + -0.3687729828666921, + -0.3413412012778021, + -0.3195180108671035, + -0.3019817965777461, + -0.2873277420243784, + -0.2741105189585838, + -0.260887538860201, + -0.2462616200996984, + -0.22892194439657365, + -0.2076822252760229, + -0.1815150876129564, + -0.1495817591729483, + -0.11125629970030229, + -0.06614373737811796, + -0.014091642716365505, + 0.04480515796583522, + 0.11020684768309287, + 0.18153779821451477, + 0.2580024186215775, + 0.33860725307429224, + 0.42218874434806664, + 0.5074459303788812, + 0.5929772109639977, + 0.6773202133912765, + 0.7589937022412859, + 0.836540421979703, + 0.9085697327141701, + 0.9737989003868774, + 1.0310919327362833, + 1.079494910879211, + 1.118266851911637, + 1.1469052483948505, + 1.1651655632460551, + 1.1730741100895588, + 1.1709339157680037, + 1.1593233392981428, + 1.1390874056362803, + 1.1113219985772926, + 1.0773512402747278, + 1.0386985606252068, + 0.9970521236714649, + 0.9542254260951448, + 0.9121140110337564, + 0.8726493455921603, + 0.8377509898212431, + 0.8092782365340166, + 0.7889824237398131, + 0.7784611140414441, + 0.779115298140432, + 0.7921107134539138, + 0.818344275307005, + 0.8584164994532649, + 0.9126106536498161, + 0.980879216088805, + 1.0628380435546707, + 1.1577684665090404, + 1.2646273364479037, + 1.3820648575379733, + 1.508449844475625, + 1.6419018664060003, + 1.7803295670880068, + 1.9214742984905344, + 2.0629580724513246, + 2.2023347262201787, + 2.3371431153621094, + 2.4649610936859885, + 2.5834590159645354, + 2.690451505863598, + 2.7839462685945557, + 2.8621887944884428, + 2.9237018943814763, + 2.967319128129748, + 2.9922113308318132, + 2.997905603967766, + 2.9842963167202434 + ], + [ + 2.96391288677283, + 2.9196952239457854, + 2.8576560111534373, + 2.778985521287467, + 2.685186120722606, + 2.578039085578977, + 2.45956521704987, + 2.33198018101761, + 2.1976456209910586, + 2.059017191822874, + 1.9185907323309515, + 1.7788478361658069, + 1.64220209106547, + 1.5109472367992822, + 1.3872084421501252, + 1.2728978224866614, + 1.1696752138044895, + 1.0789150891955508, + 1.0016803527577247, + 0.9387035777118394, + 0.8903760741007226, + 0.8567449813701158, + 0.8375183870457237, + 0.8320782793861798, + 0.839500954042777, + 0.85858431698384, + 0.8878813625777604, + 0.9257389607431493, + 0.9703409639749017, + 1.0197545468012468, + 1.0719786191589706, + 1.1249931129549233, + 1.176807928657242, + 1.225510346335636, + 1.2693097526090744, + 1.3065786101948633, + 1.3358886982221736, + 1.3560417765658959, + 1.3660939729823136, + 1.3653733540949773, + 1.3534903161874257, + 1.33034061490344, + 1.296101039734172, + 1.2512179249028104, + 1.1963888682953947, + 1.1325381999367308, + 1.060786896942332, + 0.9824177790289396, + 0.8988369341402109, + 0.8115324146921674, + 0.7220313091361424, + 0.6318563294207978, + 0.5424830616674488, + 0.4552990048457669, + 0.37156547107598253, + 0.2923833427341765, + 0.2186635778284968, + 0.15110322880911564, + 0.09016759430222367, + 0.03607896193240777, + -0.011187772476169184, + -0.05190250405697233, + -0.08657041376260924, + -0.11591581683004726, + -0.14085979666334394, + -0.16249221880663034, + -0.18203886734537983, + -0.2008245747893691, + -0.2202333229762421, + -0.2416663740688101, + -0.2664995452078006, + -0.2960407664101534, + -0.33148905817219476, + -0.3738960329816908, + -0.42413096433063446, + -0.4828503793338868, + -0.5504730188575799, + -0.627160874930058, + -0.7128068624868812, + -0.8070295150021863, + -0.9091749154708687, + -1.01832588999227, + -1.133318305490366, + -1.2527641305588322, + -1.3750807436419232, + -1.498525810169351, + -1.6212369039747827, + -1.7412749220637538, + -1.856670238786538, + -1.9654704683695075, + -2.0657886555797114, + -2.155850694364783, + -2.234040784221408, + -2.29894377365655, + -2.349383308533598, + -2.38445479873904, + -2.4035523371837972, + -2.406388847761895, + -2.393008900070298, + -2.3637938045219533, + -2.3194587876626254, + -2.2610422394687606, + -2.189887217443627, + -2.107615581691166, + -2.0160953161613238, + -1.9174017594544048, + -1.8137736197795042, + -1.7075647791291317, + -1.601192998208592, + -1.4970867134791528, + -1.3976311688251455, + -1.3051151455244583, + -1.2216795448127826, + -1.1492690375565924, + -1.089587926307201, + -1.0440612679407688, + -1.0138021825239973, + -0.9995861289362459, + -1.0018327636351405, + -1.020595819752086, + -1.0555612537954495, + -1.1060537112356243, + -1.1710511649117865, + -1.249207386332607, + -1.338881724255685, + -1.4381754919364897, + -1.544974108338649, + -1.6569940031812194, + -1.771833184244778, + -1.887024280558482, + -2.0000888189824573, + -2.1085914656173403, + -2.21019296801313, + -2.3027005691590428, + -2.3841147288151316, + -2.4526710802713847, + -2.5068766687841713, + -2.5455396588105845, + -2.5677918572529737, + -2.57310357528638, + -2.561290537649834, + -2.532512740955837, + -2.4872653568794285, + -2.4263619672662595, + -2.3509106015711514, + -2.2622832181291197, + -2.1620794254057194, + -2.0520853738231026, + -1.9342288597682962, + -1.810531768303078, + -1.6830610379028026, + -1.5538793579463495, + -1.4249968070836074, + -1.2983246081868138, + -1.175632114252511, + -1.0585080509820828, + -0.9483269281240411, + -0.8462213959206247, + -0.7530611686161635, + -0.6694389678636032, + -0.5956637592743258, + -0.5317613698127232, + -0.4774823868966704, + -0.43231705660690956, + -0.3955167229168676, + -0.3661211867054577, + -0.34299121656819304, + -0.324845316737363, + -0.3102997538924956, + -0.29791076683454876, + -0.2862178328086653, + -0.2737868428926565, + -0.259252046798417, + -0.2413556644015806, + -0.21898412633208442, + -0.191199997332337, + -0.1572687514666878, + -0.11667970469084991, + -0.06916056428027795, + -0.014685222250287904, + 0.0465254030853257, + 0.11400949137395727, + 0.18707724209881585, + 0.2648302480660013, + 0.34618680557775183, + 0.42991249060771786, + 0.5146551916620727, + 0.5989836720329744, + 0.6814286398387902, + 0.7605252360139027, + 0.8348558100197686, + 0.9030918415586466, + 0.9640338843150138, + 1.016648454324882, + 1.0601008598516877, + 1.093783069802157, + 1.1173358412665422, + 1.1306644706432878, + 1.133947693421171, + 1.1276394310291689, + 1.1124632648860955, + 1.0893997033308338, + 1.0596664918277794, + 1.024692396070724, + 0.9860850568299097, + 0.9455936703204565, + 0.9050673845834919, + 0.8664104173783461, + 0.8315349914340608, + 0.802313246259112, + 0.7805293203851517, + 0.7678328029604514, + 0.7656947287838268, + 0.7753672366950923, + 0.7978479289592796, + 0.8338498608459496, + 0.883777957612637, + 0.9477125037436983, + 1.025400180275652, + 1.1162529444811369, + 1.2193548565293242, + 1.3334767646436174, + 1.4570985684856186, + 1.58843859473277, + 1.7254894436713766, + 1.866059505429644, + 2.007819203198974, + 2.1483509019495157, + 2.285201327704437, + 2.415935276743671, + 2.5381893578298764, + 2.649724504634708, + 2.7484760201951026, + 2.8325999698999653, + 2.9005148229129434, + 2.950937352085529, + 2.982911936658756, + 2.9958325671489043, + 2.9894570240085776, + 2.9639128867728304 + ], + [ + 2.9353743176277622, + 2.8799557112325815, + 2.807443453815929, + 2.7192285587839518, + 2.616994589934415, + 2.5026805950040796, + 2.378438374293113, + 2.246585086381021, + 2.109552302117777, + 1.9698327003768865, + 1.8299256525153742, + 1.6922829658278584, + 1.5592560489753347, + 1.4330457246321853, + 1.3156558473912097, + 1.2088517899806157, + 1.1141247404430112, + 1.0326626100884748, + 0.9653281902923516, + 0.9126450195527065, + 0.8747912350017366, + 0.8516014893816831, + 0.8425768200894028, + 0.8469021660269382, + 0.8634710453344526, + 0.8909167370820925, + 0.9276491567934059, + 0.9718964829771464, + 1.02175048285536, + 1.0752144028004542, + 1.1302522345837078, + 1.1848381436409305, + 1.2370048506932974, + 1.2848897929941951, + 1.3267779552397916, + 1.3611403511032807, + 1.3866672520816217, + 1.4022953979201815, + 1.4072285788097285, + 1.400951149888386, + 1.3832342190351705, + 1.3541344349760969, + 1.313985489673879, + 1.2633826321603994, + 1.2031606658236198, + 1.1343660633211325, + 1.0582239787307814, + 0.9761010616602394, + 0.8894650797332551, + 0.7998424316532754, + 0.7087746810719863, + 0.6177752606164432, + 0.528287485236218, + 0.4416449748404261, + 0.35903551905031983, + 0.28146932354454746, + 0.20975246032583625, + 0.1444662062909501, + 0.08595279926174279, + 0.03430797208789997, + -0.0106195521519808, + -0.04922160293299386, + -0.0821173241416674, + -0.1101335133902005, + -0.13427906523839453, + -0.15571419935610634, + -0.17571529182391216, + -0.19563624402715926, + -0.21686741598383577, + -0.24079321709491552, + -0.2687494855119025, + -0.301981796577746, + -0.3416058208397932, + -0.388570803418117, + -0.4436271602249229, + -0.5072990845515095, + -0.5798629323978344, + -0.6613320097313742, + -0.7514482232504056, + -0.8496808822340762, + -0.9552327570471953, + -1.067053314400184, + -1.1838588652072357, + -1.3041591824806977, + -1.4262899786510135, + -1.5484504782638024, + -1.6687451870761978, + -1.7852288455964225, + -1.8959534669861011, + -1.999016298261788, + -2.0926075115068143, + -2.1750564292396093, + -2.244875115345996, + -2.3007982194946206, + -2.341818047411763, + -2.3672139397915535, + -2.3765751763091005, + -2.3698167749514747, + -2.3471877269450623, + -2.309271389784863, + -2.256977950798795, + -2.1915290666450584, + -2.1144349753949054, + -2.027464562681399, + -1.9326090372301277, + -1.8320400296268107, + -1.7280630674836996, + -1.6230674967736294, + -1.5194740100921036, + -1.4196810056938773, + -1.3260110347244487, + -1.2406585972442234, + -1.1656405202860645, + -1.1027500939063613, + -1.0535160553326588, + -1.0191673989262073, + -1.000604853467912, + -0.9983797115293215, + -1.0126805222012591, + -1.0433279724287914, + -1.0897780881592674, + -1.1511336891654815, + -1.226163835556397, + -1.3133308143956464, + -1.4108240361227, + -1.516600046957196, + -1.6284277191338188, + -1.743937559164126, + -1.8606739782966502, + -1.9761493012627351, + -2.08789825088309, + -2.1935316380732943, + -2.2907880093834945, + -2.377582056845095, + -2.4520486762471836, + -2.5125816679969466, + -2.55786620674924, + -2.5869043587531526, + -2.5990330955864716, + -2.5939344354499996, + -2.5716375339832678, + -2.5325127409558372, + -2.47725783241775, + -2.4068768152301487, + -2.322651877767614, + -2.2261092226791606, + -2.1189796609792895, + -2.003154967948264, + -1.880641097439629, + -1.753509419937405, + -1.6238471894703017, + -1.4937084543911852, + -1.365066606923086, + -1.2397697168577269, + -1.1194997171956729, + -1.005736405859061, + -0.8997271005502763, + -0.8024626366107952, + -0.7146602340840197, + -0.6367535842360589, + -0.5688903219669695, + -0.5109368634667343, + -0.4624904028206459, + -0.4228976816881534, + -0.39127997714660395, + -0.3665635985128937, + -0.3475150482613024, + -0.33277988840181544, + -0.32092426467160085, + -0.31047797880011874, + -0.29997796543412736, + -0.2880110258359756, + -0.27325469524654333, + -0.2545151741478272, + -0.23076133416754224, + -0.20115391495626628, + -0.16506915632500682, + -0.12211625698616885, + -0.07214821364407147, + -0.015265767799349832, + 0.04818563194828834, + 0.11762576167492698, + 0.19225617733846875, + 0.271082949538792, + 0.35294497211464665, + 0.4365470925207441, + 0.520497184812076, + 0.6033461814064522, + 0.6836300002741046, + 0.7599122518561772, + 0.8308265862000526, + 0.8951175461594891, + 0.951678826947532, + 0.9995879050243648, + 1.0381360887129176, + 1.066853156850101, + 1.0855258873698335, + 1.0942099315957448, + 1.0932346583514427, + 1.08320077056086, + 1.0649706813322632, + 1.0396518219666337, + 1.0085732362371589, + 0.9732559890638666, + 0.9353780789630025, + 0.8967346882958054, + 0.8591947296941406, + 0.8246547479182134, + 0.7949913112010145, + 0.7720130728971737, + 0.7574137017167515, + 0.7527268664511928, + 0.7592844190946837, + 0.7781788495728039, + 0.8102309875703577, + 0.8559638045357024, + 0.9155830247821606, + 0.988965092206676, + 1.0756528624603903, + 1.1748592037561327, + 1.2854784974615125, + 1.4061058369230965, + 1.5350635343438912, + 1.6704343656483038, + 1.810100816565025, + 1.951789443771282, + 2.093119336584826, + 2.2316535605648973, + 2.364952387100609, + 2.4906270645796806, + 2.6063928682914193, + 2.7101201783383067, + 2.7998823772730272, + 2.8739994309608803, + 2.931076115587536, + 2.9700339784063314, + 2.990136266743473, + 2.9910052254006354, + 2.9726313428996813, + 2.935374317627763 + ], + [ + 2.8989220584938575, + 2.8327655280256647, + 2.7503761755589045, + 2.6533339985310564, + 2.5434895346415973, + 2.4229232262694254, + 2.293899703901161, + 2.1588180588991577, + 2.0201592695419235, + 1.8804320097549287, + 1.7421181057475936, + 1.6076189110419188, + 1.4792038450270133, + 1.3589622848591414, + 1.2487599166397954, + 1.1502005414342713, + 1.0645941975766806, + 0.9929323061595277, + 0.9358703754388858, + 0.8937186163140846, + 0.8664406295761462, + 0.8536601309609096, + 0.8546754869603326, + 0.8684816475611487, + 0.8937988861524245, + 0.9291075960552214, + 0.9726882513797157, + 1.0226655206317843, + 1.0770554275349493, + 1.1338143871363713, + 1.1908889079733271, + 1.2462647437128214, + 1.2980143003228912, + 1.3443411568283004, + 1.3836206376585924, + 1.4144354804360788, + 1.4356057720608733, + 1.446212474846469, + 1.4456140294726307, + 1.4334556984906341, + 1.40967149858895, + 1.3744787571782218, + 1.3283655143941042, + 1.2720711707116994, + 1.2065609485530002, + 1.1329948893675486, + 1.052692241880502, + 0.9670922092151206, + 0.8777121096538878, + 0.7861040657793167, + 0.6938113681896895, + 0.6023256621915929, + 0.5130460788401785, + 0.427241376173708, + 0.3460160739296032, + 0.27028145757134936, + 0.20073219785880758, + 0.13782918377278455, + 0.08178900314243451, + 0.032580330981553135, + -0.010072695251700316, + -0.046680216906129876, + -0.07796979520459857, + -0.1048634079579988, + -0.12844891856052404, + -0.1499467788971639, + -0.17067285329829857, + -0.19199835349228103, + -0.21530795201027614, + -0.2419571917002129, + -0.27323033060702373, + -0.31029975389249564, + -0.35418804785266345, + -0.40573376632751307, + -0.465561828480054, + -0.5340593713129038, + -0.6113577432676343, + -0.6973211702349101, + -0.7915424561688689, + -0.8933459014849819, + -1.0017974380195058, + -1.115721794176569, + -1.2337263226487662, + -1.3542309503430454, + -1.4755035502455531, + -1.5956998919744707, + -1.7129072053411165, + -1.8251902925029353, + -1.93063905179893, + -2.027416232009936, + -2.1138042207868897, + -2.188249685814636, + -2.2494049316597633, + -2.2961649081851876, + -2.3276989061858715, + -2.343476100122171, + -2.3432842435006176, + -2.3272409860375123, + -2.2957974592479298, + -2.249733964186829, + -2.190147787138638, + -2.1184333613823347, + -2.0362551810096248, + -1.9455140515042864, + -1.8483074269765523, + -1.7468847314891711, + -1.6435986881396776, + -1.540853781323672, + -1.441053052340693, + -1.3465444743222577, + -1.2595681681743003, + -1.182205706384864, + -1.1163327064542472, + -1.063575841403731, + -1.0252752930737994, + -1.002453547171754, + -0.9957912803263581, + -1.0056109223486434, + -1.031868295531407, + -1.0741525415465893, + -1.131694349966181, + -1.2033823054160777, + -1.2877869776644935, + -1.3831921952336563, + -1.487632772872491, + -1.598937810576546, + -1.7147785504953266, + -1.8327196712106306, + -1.9502728190855343, + -2.0649511255917017, + -2.174323438931325, + -2.27606700834705, + -2.368017399975745, + -2.448214492922238, + -2.5149435016616692, + -2.566770093503233, + -2.602568814628668, + -2.6215442015811155, + -2.6232441329984284, + -2.607565164482595, + -2.574749783153805, + -2.5253757129048835, + -2.4603375918887327, + -2.3808215256833307, + -2.2882731884514667, + -2.1843602961412225, + -2.070930406684232, + -1.949965109089204, + -1.8235317437426473, + -1.693733848223018, + -1.562661545320002, + -1.432343082273784, + -1.3046986928011666, + -1.181497887283806, + -1.0643211832961217, + -0.9545271708499705, + -0.8532256673377295, + -0.7612575597033141, + -0.6791817598395088, + -0.6072695179199498, + -0.5455061518776665, + -0.4936000642120855, + -0.4509987344181597, + -0.41691120114753255, + -0.390336387068002, + -0.3700964752849157, + -0.3548744226939494, + -0.343254595793745, + -0.3337654407462244, + -0.3249230536211313, + -0.3152744998864276, + -0.30343974466594165, + -0.28815109670193556, + -0.2682891382281142, + -0.24291420827486107, + -0.2112926258374467, + -0.1729169787930805, + -0.12751996089377277, + -0.0750814086039541, + -0.015828367685506373, + 0.04977179826728035, + 0.12102506330287478, + 0.1970307877978511, + 0.27670762235610996, + 0.3588245755379695, + 0.4420364183527696, + 0.52492248392331, + 0.6060278302810738, + 0.6839056701918099, + 0.757159935891462, + 0.8244868395773143, + 0.8847143126641839, + 0.9368382576604884, + 0.9800546248018008, + 1.0137864293659078, + 1.0377049523049675, + 1.0517445133088585, + 1.0561103679996355, + 1.0512794555799223, + 1.0379939055393628, + 1.017247397384151, + 0.9902646511311938, + 0.9584745038676895, + 0.9234771945326733, + 0.8870066310024085, + 0.8508885466943817, + 0.8169955648450682, + 0.787200274511647, + 0.763327480963997, + 0.7471068229130552, + 0.7401269491226873, + 0.7437924172704198, + 0.7592844190946834, + 0.7875263492563516, + 0.8291551230079001, + 0.8844990124059748, + 0.9535626157016239, + 1.036019403473344, + 1.131212102212139, + 1.2381609859065577, + 1.3555799533820303, + 1.481900078469827, + 1.61530013622208, + 1.7537434358967712, + 1.895020134585183, + 2.03679406804131, + 2.1766530209208943, + 2.312161270110701, + 2.4409131743584362, + 2.560586552546621, + 2.668994592509673, + 2.7641350623464436, + 2.8442356560548507, + 2.9077943936032553, + 2.9536141101470506, + 2.980830207243889, + 2.9889309972823366, + 2.977770147082594, + 2.9475709135169663, + 2.8989220584938584 + ], + [ + 2.854864511978224, + 2.7785239246287654, + 2.6869369913796555, + 2.581859338326148, + 2.4652928408733454, + 2.3394417628051287, + 2.2066644412797154, + 2.069421647339548, + 1.9302228287698984, + 1.7915714902539344, + 1.655910983606633, + 1.5255719680223971, + 1.402722757089944, + 1.2893236969037678, + 1.1870866197407925, + 1.0974402929503224, + 1.021502636010972, + 0.9600603137581153, + 0.913556134640801, + 0.8820844939316673, + 0.8653949077245439, + 0.8629034890684887, + 0.8737120274620757, + 0.8966341518102052, + 0.9302278892398694, + 0.9728337819547548, + 1.0226175952160672, + 1.077616544675253, + 1.1357878931559084, + 1.1950587174247227, + 1.2533756256325446, + 1.3087532163381337, + 1.3593201099950682, + 1.4033614523978686, + 1.4393568850506067, + 1.4660130972827812, + 1.4822902161359715, + 1.4874214490012598, + 1.4809255666887993, + 1.4626119967120703, + 1.432578483500734, + 1.3912014593380737, + 1.3391194523786791, + 1.2772100315889576, + 1.2065609485530004, + 1.1284362788280895, + 1.044238487388386, + 0.955467440661821, + 0.8636774593472603, + 0.770433549862266, + 0.6772679668872126, + 0.5856382447399437, + 0.49688779167425573, + 0.41221006980803593, + 0.33261728611092006, + 0.25891439922328235, + 0.1916791059295972, + 0.13124831346840962, + 0.07771143354360742, + 0.03091065523889344, + -0.009551828432159676, + -0.04429984725215792, + -0.07416291692298856, + -0.10015008801014848, + -0.12341868230879877, + -0.14523875241667322, + -0.16695421308019517, + -0.1899416813848238, + -0.21556812482644502, + -0.2451484501328368, + -0.27990417051605426, + -0.32092426467160085, + -0.36912928787675403, + -0.42523971527733617, + -0.4897493918770388, + -0.5629048354829002, + -0.6446909911154568, + -0.7348238718575252, + -0.8327503458889334, + -0.9376551469333942, + -1.0484750001160157, + -1.163919571959778, + -1.28249877655972, + -1.4025558043320263, + -1.5223050893404568, + -1.639874299880761, + -1.7533493281114767, + -1.8608211708597022, + -1.9604335374821018, + -2.0504299933233248, + -2.129199449667807, + -2.195318843169221, + -2.2475919088669305, + -2.285083039638526, + -2.307145339179678, + -2.313442112595991, + -2.3039611951142267, + -2.2790216914599846, + -2.2392728818979792, + -2.185685241289403, + -2.1195337101077123, + -2.0423735464232977, + -1.9560092707250452, + -1.8624573865674152, + -1.7639037151702563, + -1.662656317396943, + -1.5610950886172563, + -1.461619198014091, + -1.366593601742825, + -1.2782958875143549, + -1.1988647058914548, + -1.130251010853285, + -1.0741732697343875, + -1.0320777119514255, + -1.005104569158423, + -0.9940611194263556, + -0.9994021881062797, + -1.0212185820785205, + -1.0592337463806438, + -1.112808737302468, + -1.1809554086739784, + -1.2623575130511646, + -1.355399231569051, + -1.458200469952116, + -1.5686580978358056, + -1.6844921680560594, + -1.8032960353156575, + -1.922589202478456, + -2.039871659874422, + -2.1526784499282754, + -2.258633186928434, + -2.35549928985841, + -2.441227744198776, + -2.5140002950197173, + -2.572267086375352, + -2.6147778981899203, + -2.6406062881316332, + -2.649166118549442, + -2.6402201331567197, + -2.613880440248575, + -2.570600954125154, + -2.5111620392898284, + -2.436647788183747, + -2.3484165381655253, + -2.248065392890858, + -2.1373896533254215, + -2.018338180954416, + -1.8929658075205567, + -1.763383969651902, + -1.631710781545375, + -1.500021763688232, + -1.3703024204104062, + -1.244403804588111, + -1.124002125511548, + -1.0105633479192173, + -0.9053135992554309, + -0.8092160516535173, + -0.7229547787943285, + -0.6469259098289326, + -0.5812362174580014, + -0.525709089666829, + -0.479897649215462, + -0.4431046064039355, + -0.41440826331933434, + -0.39269393588010626, + -0.3766899272853872, + -0.3650070762282793, + -0.3561808181487568, + -0.3487146399560773, + -0.3411237794281299, + -0.3319780205623386, + -0.3199424654396782, + -0.3038152208675825, + -0.2825610226735329, + -0.25533992983985476, + -0.22153035189400488, + -0.18074582274164872, + -0.13284509863339955, + -0.07793533300327934, + -0.016368262059141287, + 0.0512704823574946, + 0.12417863662782673, + 0.2013606781119408, + 0.28165667924072746, + 0.3637758717422082, + 0.4463340259233072, + 0.5278936489628229, + 0.6070059306938999, + 0.6822533172996603, + 0.7522915739582556, + 0.8158902072767497, + 0.871970157135618, + 0.9196377343854855, + 0.9582138740467829, + 0.9872578909470799, + 1.0065850631669218, + 1.0162775247944185, + 1.0166881194032305, + 1.008437045107001, + 0.9924013064990982, + 0.969697173618992, + 0.9416560286377318, + 0.909794152665152, + 0.8757771636040395, + 0.8413799572862022, + 0.8084431246197475, + 0.7788269140662362, + 0.7543638789520088, + 0.7368113910548602, + 0.7278052144518286, + 0.7288153163522496, + 0.7411050449010858, + 0.7656947287838257, + 0.8033306516686215, + 0.8544602285228365, + 0.9192140636858556, + 0.9973954058458877, + 1.0884773367780667, + 1.191607843221758, + 1.3056227292110356, + 1.4290661342525222, + 1.560218235703038, + 1.6971295361608227, + 1.8376609730460858, + 1.97952894187497, + 2.120354200653375, + 2.257713523438273, + 2.3891928989340183, + 2.51244102684507, + 2.6252218517192656, + 2.7254648915701476, + 2.811312166298397, + 2.881160607731991, + 2.9336989371507416, + 2.967938124958956, + 2.983234697616886, + 2.9793063254003775, + 2.956239306946293, + 2.9144877584329834, + 2.854864511978225 + ], + [ + 2.803574424860651, + 2.717689809551228, + 2.617662625482897, + 2.5054092861372137, + 2.383066088043347, + 2.2529424955678925, + 2.11747063622496, + 1.9791521857963246, + 1.8405038827873368, + 1.7040029420787268, + 1.5720336373549726, + 1.4468362910339048, + 1.3304598497761617, + 1.2247191347319886, + 1.1311577406934525, + 1.0510174201052287, + 0.9852146298558856, + 0.9343247448147, + 0.8985742564725578, + 0.8778410823453104, + 0.8716629167269886, + 0.879253360712163, + 0.8995253838478544, + 0.931121495849007, + 0.972449848746355, + 1.0217253514616564, + 1.0770147634603189, + 1.1362846445785229, + 1.1974509764823393, + 1.258429238917892, + 1.317183721654401, + 1.371774880762101, + 1.420403604818805, + 1.461451341295391, + 1.493515143541958, + 1.5154368316657267, + 1.526325612785089, + 1.5255736738159291, + 1.5128644388747314, + 1.4881733690763659, + 1.45176137031264, + 1.4041610598282717, + 1.346156320446042, + 1.2787557377037917, + 1.2031606658236198, + 1.1207287996107138, + 1.0329342378428046, + 0.9413251068025694, + 0.8474798683057183, + 0.7529634635577718, + 0.659284441825549, + 0.5678541913642801, + 0.4799493301595818, + 0.3966782273970071, + 0.3189525154022371, + 0.24746431895762386, + 0.18266977779249705, + 0.12477927251847813, + 0.07375458854918888, + 0.029313071072240737, + -0.009061358462347116, + -0.04210063297548017, + -0.07072889720973186, + -0.09603343036620997, + -0.11923091455811617, + -0.14162995194906552, + -0.16459083254855103, + -0.1894836280814713, + -0.21764573325258796, + -0.25033999290238634, + -0.2887145415334167, + -0.33376544074622455, + -0.38630313126047294, + -0.4469236211129283, + -0.5159852126845416, + -0.5935914313818992, + -0.6795806615810426, + -0.7735228247733259, + -0.8747232550167846, + -0.9822337423126573, + -1.0948705300395507, + -1.2112388727400223, + -1.3297635899102236, + -1.4487248943156479, + -1.5662986337370435, + -1.680599966502638, + -1.7897293967283712, + -1.891820027312669, + -1.985084849204578, + -2.0678628753673975, + -2.1386629475468126, + -2.1962040930333147, + -2.2394513859607277, + -2.2676463714771433, + -2.2803312388706503, + -2.277366078338019, + -2.2589387219331587, + -2.2255668482704967, + -2.1780922183972535, + -2.117667102270675, + -2.045733146750935, + -1.9639931222199585, + -1.8743761612538616, + -1.7789972648397214, + -1.680111995406237, + -1.5800673978471367, + -1.4812502867017, + -1.3860341072737503, + -1.296725618943844, + -1.2155126591974024, + -1.1444142266354547, + -1.0852340708834511, + -1.0395188980385008, + -1.0085221939776772, + -0.9931745370382122, + -0.9940611194263553, + -1.0114070268939042, + -1.045070642855091, + -1.0945453506517784, + -1.1589695107882019, + -1.2371444934351088, + -1.3275603551275632, + -1.4284285670071442, + -1.5377210346052694, + -1.6532145000990761, + -1.7725392908176656, + -1.8932312756186127, + -2.01278581606665, + -2.128712453926294, + -2.238589061411501, + -2.340114196255759, + -2.431156449562271, + -2.509799649412397, + -2.5743828854833724, + -2.6235344469223305, + -2.656198914305577, + -2.671656813020148, + -2.66953641574152, + -2.649817471418278, + -2.612826832657264, + -2.559226147868264, + -2.489991974221217, + -2.4063888477618964, + -2.309936013534557, + -2.202368667230466, + -2.085594687124437, + -1.9616479378177734, + -1.8326393031260697, + -1.7007066525533836, + -1.5679649631143266, + -1.4364578054724264, + -1.3081113608741357, + -1.1846920643219547, + -1.0677688717026794, + -0.9586810266779499, + -0.8585120601605274, + -0.768070594760906, + -0.6878783527425346, + -0.6181655831393188, + -0.558873936352327, + -0.5096666274390353, + -0.4699455471081497, + -0.43887480667310774, + -0.41541004419017735, + -0.39833267765316316, + -0.38628817092681317, + -0.37782728203031285, + -0.37144919377654523, + -0.36564538531125323, + -0.3589430907498751, + -0.3499472081185131, + -0.3373795676718732, + -0.3201145421649457, + -0.29721008088357276, + -0.2679333716353803, + -0.23178047733087762, + -0.18848945260831432, + -0.13804661713011931, + -0.08068584135021341, + -0.01688088316954863, + 0.0526690046733656, + 0.12705980099244552, + 0.2052092154493826, + 0.28588824893192655, + 0.3677569705209875, + 0.44940355552762046, + 0.529385542529913, + 0.6062722074728422, + 0.6786869212508215, + 0.7453483546014723, + 0.8051094206976429, + 0.8569929008963597, + 0.9002227813327551, + 0.9342504353937511, + 0.9587749168957581, + 0.973756777779982, + 0.979424988598343, + 0.976276715868429, + 0.9650698931116949, + 0.9468087074588338, + 0.9227223064465613, + 0.8942372054281948, + 0.8629440404288302, + 0.8305594601241316, + 0.7988840801203317, + 0.7697575295494303, + 0.7450117014147479, + 0.7264233720043721, + 0.7156673795929027, + 0.7142715478551531, + 0.7235745049372485, + 0.7446874857294858, + 0.7784611140414425, + 0.8254580452596761, + 0.8859322114718193, + 0.9598152533327768, + 1.0467105499757676, + 1.145895074267601, + 1.2563291101909169, + 1.376673676794424, + 1.5053153137299422, + 1.640397701573166, + 1.7798594204084053, + 1.921476996758846, + 2.062912255684043, + 2.201762885074183, + 2.33561503560537, + 2.462096724597788, + 2.5789307865617506, + 2.683986118218807, + 2.775326001189689, + 2.8512523505468503, + 2.910344830504528, + 2.951493897442987, + 2.9739269723762516, + 2.977227106448722, + 2.961343680176932, + 2.9265948656421013, + 2.873661776110042, + 2.8035744248606527 + ], + [ + 2.745485734487182, + 2.6507778669343587, + 2.543139170351125, + 2.424630643999815, + 2.297504951688574, + 2.1641572474999076, + 2.0270729086883144, + 1.8887733947615404, + 1.7517614944755373, + 1.6184672347720879, + 1.4911957072968336, + 1.3720780195320648, + 1.2630264999808793, + 1.1656951821736747, + 1.0814464631226224, + 1.0113246814098484, + 0.9560371920640037, + 0.9159433338880207, + 0.8910514944028372, + 0.8810242827372005, + 0.8851916263910132, + 0.902571418579426, + 0.9318971634419684, + 0.9716519011412853, + 1.0201075477888017, + 1.0753686597742111, + 1.1354195314541249, + 1.1981734616687945, + 1.2615229799264371, + 1.3233898083285591, + 1.3817733506730585, + 1.4347965451860687, + 1.4807479907872967, + 1.5181193567748203, + 1.5456372097589184, + 1.5622885364275412, + 1.5673394026263299, + 1.5603463642044675, + 1.54116042871923, + 1.5099235548066663, + 1.4670578631218834, + 1.413247914564382, + 1.3494165835081235, + 1.2766952116830297, + 1.196388868295395, + 1.1099376604772746, + 1.0188751323101448, + 0.9247848581812941, + 0.8292563754789668, + 0.7338416117012738, + 0.6400129417643584, + 0.5491239632035354, + 0.4623740013453121, + 0.3807772553556578, + 0.30513737194712903, + 0.23602808963464164, + 0.1737804364403144, + 0.11847679193670085, + 0.06995194485832446, + 0.02780109476655996, + -0.008605434940147441, + -0.040101180424033114, + -0.06769678942551428, + -0.09254826381265978, + -0.11592104571863353, + -0.13915090957929763, + -0.16360270697210577, + -0.19062806892044143, + -0.2215231997812914, + -0.2574878972078314, + -0.29958690393356574, + -0.3487146399560769, + -0.4055642795175411, + -0.47060202817884095, + -0.5440473239866864, + -0.6258595365227523, + -0.7157315722644968, + -0.8130906183291687, + -0.9171060737482429, + -1.026704532533818, + -1.1405915006127414, + -1.2572793538204734, + -1.3751208809917594, + -1.4923476089008973, + -1.6071119781424121, + -1.7175323342719069, + -1.8217396193491326, + -1.9179245975091004, + -2.0043844257143415, + -2.0795673880715926, + -2.14211464894957, + -2.190897945792487, + -2.22505223544857, + -2.244002425803867, + -2.2474834646809216, + -2.2355532169226695, + -2.208597734453427, + -2.1673287086310244, + -2.1127730848435355, + -2.0462550113653024, + -1.9693704832294405, + -1.8839552226286238, + -1.7920465056416044, + -1.695839796717157, + -1.5976411835498825, + -1.4998167124710589, + -1.4047398055473987, + -1.3147379931729546, + -1.2320402186938513, + -1.1587259638926959, + -1.0966774060999291, + -1.0475357501579048, + -1.0126627830324149, + -0.9931085778235378, + -0.9895861301833035, + -1.002453547171753, + -1.0317042303208366, + -1.0769653054510049, + -1.137504356193993, + -1.2122443209721145, + -1.299786219166642, + -1.398439186096685, + -1.5062571227548147, + -1.6210811092326876, + -1.7405865942369467, + -1.8623342603610262, + -1.9838233785750687, + -2.102546407809823, + -2.216043567922558, + -2.3219561173932353, + -2.418077100703817, + -2.5023983936522836, + -2.573152966269361, + -2.6288514002744474, + -2.668311838233635, + -2.6906827013106414, + -2.6954576878031338, + -2.682482751225439, + -2.6519549499585655, + -2.6044132557056483, + -2.5407216003912274, + -2.462044626029093, + -2.369816774951476, + -2.2657055144414393, + -2.151569626447382, + -2.029413606389819, + -1.9013393023838663, + -1.7694959854309762, + -1.6360300709115532, + -1.5030357113991115, + -1.3725074505221067, + -1.2462960681704252, + -1.1260686603452172, + -1.013273884630259, + -0.909113167487037, + -0.8145185157639406, + -0.7301374058437393, + -0.6563250439845943, + -0.5931441051486579, + -0.5403718696201266, + -0.49751449168402845, + -0.46382795717735353, + -0.43834512124540526, + -0.4199080682405833, + -0.4072049060802131, + -0.39881000072473255, + -0.39322657535775596, + -0.3889305453102802, + -0.38441443504479816, + -0.37823022814925483, + -0.3690300350970756, + -0.3556035255872635, + -0.33691116096032264, + -0.31211237519700286, + -0.2805879874452501, + -0.24195628144863482, + -0.1960823537803729, + -0.14308050918373602, + -0.08330966309952204, + -0.017361894010170662, + 0.0539555330832625, + 0.1296441804424647, + 0.20854383944281887, + 0.28936653043531274, + 0.3707341899771714, + 0.45121903755627896, + 0.5293855425299131, + 0.6038328682483646, + 0.6732366553696794, + 0.7363890205987129, + 0.7922356901728143, + 0.8399092583114789, + 0.8787576577904902, + 0.9083670503772896, + 0.9285784860611092, + 0.9394978382934903, + 0.9414986938528128, + 0.9352180561555034, + 0.9215449053237427, + 0.9016018424373364, + 0.8767202244995076, + 0.8484093662041979, + 0.8183205403081608, + 0.7882066463256336, + 0.7598785338552221, + 0.7351590591231545, + 0.7158360188911917, + 0.7036151430007372, + 0.700074334482867, + 0.7066203240664909, + 0.7244488545137494, + 0.7545094306851383, + 0.7974755654713986, + 0.853721322266976, + 0.9233048046378658, + 1.0059590769100777, + 1.1010908196565679, + 1.2077868359009631, + 1.3248283319143512, + 1.4507127054892464, + 1.5836823892527665, + 1.7217601215173275, + 1.862789856708397, + 2.004482385547259, + 2.144464615446198, + 2.2803313669956857, + 2.409698475378414, + 2.5302559477475404, + 2.6398199200543155, + 2.736382179759525, + 2.818156073818507, + 2.883617703059922, + 2.9315414126417956, + 2.9610287210636086, + 2.9715299840398033, + 2.962858260679147, + 2.9351950337187787, + 2.889087628557714, + 2.825438372832561, + 2.7454857344871844 + ], + [ + 2.6810898974638095, + 2.5783542020906958, + 2.4639971281369997, + 2.340206835779186, + 2.209333317739443, + 2.0738371819756125, + 1.9362360643501777, + 1.799049919704219, + 1.6647464645960062, + 1.5356880391231809, + 1.4140811189000884, + 1.3019296423222853, + 1.2009932243573038, + 1.1127512085761122, + 1.0383733669311608, + 0.9786978953947139, + 0.9342171769619866, + 0.9050715960322006, + 0.891051494402837, + 0.8916071637916071, + 0.9058665777110496, + 0.932660381349179, + 0.9705534863406536, + 1.0178824621180491, + 1.0727977806679556, + 1.1333098602302203, + 1.197337768431799, + 1.262759388548475, + 1.3274618253461525, + 1.3893908298445174, + 1.4465980551998792, + 1.4972850178113812, + 1.5398427270891035, + 1.5728860617826315, + 1.5952821074357884, + 1.6061718249453012, + 1.6049845904386857, + 1.5914453274713656, + 1.565574139344129, + 1.5276785374896211, + 1.4783385466775565, + 1.4183851446434885, + 1.3488726582641328, + 1.2710458865092065, + 1.1863028484396876, + 1.096154159347887, + 1.0021801171850302, + 0.9059866327858789, + 0.8091611598625446, + 0.7132297738122146, + 0.6196165123146116, + 0.5296060264634747, + 0.44431050046614234, + 0.36464168310272954, + 0.2912887381106497, + 0.22470246692936094, + 0.16508628972336165, + 0.11239419356070467, + 0.06633567455735474, + 0.026387518325574247, + -0.008187915184866211, + -0.0383184058711646, + -0.06509224657423472, + -0.08972407443559685, + -0.11351707877846563, + -0.13782259912759717, + -0.16399819634036805, + -0.1933653214143711, + -0.22716771929114885, + -0.2665316885442841, + -0.31242927261079595, + -0.3656453853112526, + -0.4267497746179347, + -0.49607460643669504, + -0.5736983076236071, + -0.6594361481344835, + -0.7528378701029639, + -0.8531924910869406, + -0.9595402242583961, + -1.070691274588343, + -1.185251091735563, + -1.3016514918976352, + -1.4181869065973696, + -1.5330548801828796, + -1.6443998231946446, + -1.7503589386451517, + -1.8491091750055986, + -1.9389140249726822, + -2.018168983860961, + -2.08544450596208, + -2.139525350920298, + -2.1794452938534543, + -2.2045162806594796, + -2.2143512410981, + -2.2088799236439245, + -2.188357284078051, + -2.1533641402086663, + -2.104799993555977, + -2.0438681106639343, + -1.972053147176684, + -1.8910917822311186, + -1.8029370044973996, + -1.7097168500293474, + -1.613688532009222, + -1.5171890199879678, + -1.4225832183808393, + -1.3322109584463064, + -1.2483340530988554, + -1.1730846687494403, + -1.108416242738786, + -1.0560581193877656, + -1.017474993528669, + -0.9938321396016115, + -0.9859672696564115, + -0.9943697081394627, + -1.019167398926206, + -1.060122074861496, + -1.116632726588201, + -1.187747310381229, + -1.2721824388529237, + -1.3683506085231856, + -1.474394338975494, + -1.5882264340126147, + -1.707575429882159, + -1.8300351727966875, + -1.953117370611118, + -2.07430589400062, + -2.1911115624846964, + -2.301126141121025, + -2.4020742948558502, + -2.4918622988223613, + -2.568622383044098, + -2.6307516970413567, + -2.676945011110526, + -2.7062204233167715, + -2.71793751076296, + -2.711807546309907, + -2.6878955931447224, + -2.646614484741912, + -2.5887108920619255, + -2.515243868539102, + -2.427556441925482, + -2.327240986037514, + -2.216099250923029, + -2.0960980534134586, + -1.9693217284868114, + -1.8379225129984338, + -1.704070075475653, + -1.5699014178735873, + -1.4374723572500616, + -1.3087117477780192, + -1.1853795276472865, + -1.0690295731829351, + -0.9609782165441816, + -0.8622791368649457, + -0.773705171358572, + -0.6957374168452196, + -0.628561807790635, + -0.572073168883099, + -0.5258865531182357, + -0.48935549496920006, + -0.4615966370021289, + -0.4415200314992317, + -0.42786428015170674, + -0.41923555809403396, + -0.41414947633286214, + -0.4110746712207987, + -0.4084769726055847, + -0.4048629945028745, + -0.3988220137163409, + -0.3890650521467097, + -0.37446015625544976, + -0.35406297025814754, + -0.3271418254605665, + -0.2931967134934338, + -0.2519716723398362, + -0.2034602868780818, + -0.14790418578961395, + -0.08578459953191313, + -0.017807225011635827, + 0.05511918297467686, + 0.1319099099582921, + 0.21133633766433066, + 0.29206209591542703, + 0.3726823414869534, + 0.4517651122098053, + 0.5278936489628232, + 0.5997085509341199, + 0.6659486313718618, + 0.7254893719697857, + 0.7773779332879336, + 0.8208637647276799, + 0.8554239684169372, + 0.8807827041470031, + 0.8969240739120348, + 0.9040980908378493, + 0.9028195141732188, + 0.8938595151048797, + 0.878230322835112, + 0.8571631819690276, + 0.8320801262072822, + 0.8045602352229096, + 0.776301187306529, + 0.7490770461781481, + 0.7246933230624875, + 0.7049404320567128, + 0.6915467059718637, + 0.6861321598793163, + 0.6901641799423175, + 0.7049162759013123, + 0.7314309676886874, + 0.7704877816692376, + 0.8225772122104593, + 0.8878813625777606, + 0.9662618189714998, + 1.0572551367899763, + 1.1600761331994356, + 1.273628989368393, + 1.3965259739800295, + 1.5271134116097023, + 1.6635043399005662, + 1.8036171326458803, + 1.9452192160432487, + 2.0859748762618064, + 2.2234960512949824, + 2.3553949215081844, + 2.4793370633337877, + 2.593093910513028, + 2.6945932777007706, + 2.781966741951298, + 2.853592747661333, + 2.9081343983098624, + 2.9445710214673486, + 2.9622227390902185, + 2.960767439555588, + 2.940249727245348, + 2.9010816154073518, + 2.8440349238910847, + 2.770225540413607, + 2.6810898974638118 + ], + [ + 2.610931731711199, + 2.5010315519968986, + 2.380906076329836, + 2.252852125095082, + 2.1192971581172833, + 1.982746447619638, + 1.8457286240177904, + 1.7107408618236806, + 1.5801949796762738, + 1.4563657045852083, + 1.341342296477322, + 1.2369846464182646, + 1.1448848524875879, + 1.066335143913358, + 1.0023028700036456, + 0.9534130994333022, + 0.919939191751267, + 0.9018015110690173, + 0.8985742564725578, + 0.9095001895460018, + 0.933512851243408, + 0.9692656827809791, + 1.0151673025600023, + 1.069422047313868, + 1.1300747641710576, + 1.1950587440551348, + 1.262245618090188, + 1.3294959990506967, + 1.3947096402715677, + 1.455873904957939, + 1.5111093889010523, + 1.5587116178832716, + 1.5971878455144402, + 1.6252881052122423, + 1.642029818273649, + 1.6467154247407318, + 1.6389426808986223, + 1.6186074523149445, + 1.5858990197102119, + 1.541288101937512, + 1.485507981292211, + 1.4195292867744993, + 1.3445291465677631, + 1.2618555580296407, + 1.1729879385484532, + 1.079494910879211, + 0.9829904398500001, + 0.8850894721094629, + 0.7873642360737553, + 0.691302335366099, + 0.598267716498943, + 0.5094655117208858, + 0.4259116529133377, + 0.34840802488091177, + 0.27752377960163416, + 0.21358327073477099, + 0.15666089405701045, + 0.10658293892515766, + 0.06293637292940692, + 0.025084301245624982, + -0.007812331602562947, + -0.03676739239630657, + -0.06293730426698409, + -0.08758475615511141, + -0.11203935238573368, + -0.13765625870145295, + -0.16577395463432132, + -0.19767222716854077, + -0.2345315365929327, + -0.277394852344676, + -0.3271329953148599, + -0.3844144350447976, + -0.4496803776865586, + -0.5231258463479562, + -0.6046873028565121, + -0.6940371928892678, + -0.7905856190259389, + -0.8934891630568061, + -1.0016666944322559, + -1.1138218207342236, + -1.228471463058421, + -1.3439798786047532, + -1.4585973086628319, + -1.5705023062262993, + -1.6778466968516565, + -1.7788020516951675, + -1.8716065048720496, + -1.954610729649248, + -2.0263219000449326, + -2.08544450596208, + -2.1309169600919953, + -2.1619430318340043, + -2.178017265063598, + -2.178943679799768, + -2.164847219185133, + -2.136177578752434, + -2.093705240399675, + -2.0385097242694545, + -1.9719602631198663, + -1.8956892910525827, + -1.8115593169879325, + -1.7216239186128373, + -1.628083740558164, + -1.533238507589217, + -1.4394361664292397, + -1.3490203458850358, + -1.2642773722645753, + -1.187384094432606, + -1.1203577597408285, + -1.0650091387420437, + -1.0229000240449864, + -0.9953061285994748, + -0.9831862835104792, + -0.987158688174872, + -1.0074847996725864, + -1.0440612679407686, + -1.0964201326918466, + -1.1637373019341462, + -1.2448491350858666, + -1.3382767608310497, + -1.4422575757450453, + -1.5547831988005374, + -1.6736430033157697, + -1.7964722154618622, + -1.9208034603277433, + -2.044120555375399, + -2.163913298870965, + -2.277731978806536, + -2.383240336452133, + -2.478265757764126, + -2.560845534447125, + -2.629268132820765, + -2.68210853040233, + -2.7182568242813288, + -2.7369394783881056, + -2.737732754641624, + -2.7205680613391054, + -2.6857291464073936, + -2.6338412585206377, + -2.5658525908279213, + -2.4830085054521605, + -2.3868192075539802, + -2.2790216914599846, + -2.1615369144157808, + -2.0364232627377334, + -1.9058274578943564, + -1.7719341043961012, + -1.636915106063882, + -1.5028801717677438, + -1.3718295963110316, + -1.2456104377532633, + -1.1258771208025926, + -1.0140573793229823, + -0.9113243124605159, + -0.8185751719033795, + -0.736417326306338, + -0.6651616672384465, + -0.6048235337018643, + -0.5551310439981553, + -0.5155405391789406, + -0.4852586660987457, + -0.4632704645608422, + -0.448372676257177, + -0.4392113667705531, + -0.4343228489346573, + -0.4321768188463661, + -0.43122056665208425, + -0.429923104042682, + -0.42681805961938835, + -0.42054423162734755, + -0.40988275395722784, + -0.39378992404825736, + -0.37142485799047936, + -0.3421712757241302, + -0.3056528742520505, + -0.2617419152655263, + -0.2105608312488819, + -0.1524768364609288, + -0.08808971156524728, + -0.018213108472157177, + 0.05615010934296973, + 0.1338378204429696, + 0.21356308431534407, + 0.29395213966855044, + 0.37358494280701215, + 0.45103715944952893, + 0.5249224839233103, + 0.5939341491208611, + 0.6568845092382583, + 0.7127416246742383, + 0.7606618533894582, + 0.8000175536388657, + 0.8304191267828105, + 0.8517307727540574, + 0.8640794910991001, + 0.8678570332951006, + 0.863714692922179, + 0.8525510046887999, + 0.8354926066137289, + 0.813868697230191, + 0.7891796870013107, + 0.7630607959743886, + 0.7372414841643008, + 0.713501713805267, + 0.6936261305469235, + 0.679357311609172, + 0.6723492612351011, + 0.6741223365884563, + 0.6860207603630631, + 0.7091738203781854, + 0.7444617726251606, + 0.7924873546021719, + 0.8535536829685879, + 0.9276491567934061, + 1.01443981869319, + 1.1132694450941585, + 1.2231674481606425, + 1.3428644802576444, + 1.4708154418925232, + 1.6052294106103018, + 1.7441058358510164, + 1.8852761876039599, + 2.0264501087332776, + 2.165265005555275, + 2.2993379215209866, + 2.426318476973858, + 2.543941625505567, + 2.650078975294753, + 2.7427874521102, + 2.8203541387707323, + 2.881336212422179, + 2.9245950139609262, + 2.949323420594559, + 2.955065849590013, + 2.941730394920047, + 2.9095927845706524, + 2.859292040198063, + 2.7918179179102744, + 2.7084904043995373, + 2.610931731711202 + ], + [ + 2.5356048070585513, + 2.4194641012616596, + 2.2945690028270547, + 2.16330557232835, + 2.028158219474326, + 1.8916557132636644, + 1.7563163215914508, + 1.6245933557098993, + 1.4988223835387466, + 1.3811713340021283, + 1.2735946433809258, + 1.1777924958732968, + 1.0951760865870779, + 1.0268396890959675, + 0.9735401450661701, + 0.9356842143409483, + 0.9133240346475895, + 0.9061607453969901, + 0.9135561346408008, + 0.9345519769058159, + 0.9678965470039225, + 1.0120776254606247, + 1.0653611590268162, + 1.1258346085160567, + 1.191453909099539, + 1.2600928877501056, + 1.329593930650045, + 1.3978186712519503, + 1.4626974777584285, + 1.5222765567694285, + 1.574761556701755, + 1.618556648569279, + 1.6522981804124637, + 1.6748821420640414, + 1.6854848354852316, + 1.6835763186133759, + 1.6689263731946373, + 1.6416029348680246, + 1.6019631121324684, + 1.5506371050767116, + 1.4885055103048002, + 1.4166706609972557, + 1.336422796493427, + 1.2492019805819412, + 1.1565567887844372, + 1.0601008598516874, + 0.9614684536587375, + 0.8622701755874418, + 0.7640500159510729, + 0.6682448124144599, + 0.5761471747903937, + 0.488872816844178, + 0.4073331212627684, + 0.3322136247845759, + 0.26395895419778337, + 0.20276457448217225, + 0.1485755321011331, + 0.10109219387389923, + 0.059782799604454984, + 0.023902469332920978, + -0.007481861800297443, + -0.03546126227529794, + -0.061250194290804236, + -0.08614840857190885, + -0.11150036877439908, + -0.13865329561614, + -0.168914958135259, + -0.20351234781137315, + -0.24355235046010446, + -0.2899854813276178, + -0.3435736718981709, + -0.40486299450287394, + -0.4741620854452359, + -0.5515268821821493, + -0.6367521287630508, + -0.7293699302913283, + -0.8286554559964826, + -0.9336397061594484, + -1.0431290752697064, + -1.155731267034271, + -1.2698869506824833, + -1.3839063966364717, + -1.4960101969007569, + -1.604373064861675, + -1.7071696234274267, + -1.8026210318148956, + -1.889041271357658, + -1.9648819103143949, + -2.0287741969061033, + -2.0795673880715926, + -2.1163623073464106, + -2.1385392367906864, + -2.145779382323807, + -2.138079305899559, + -2.115757887909295, + -2.0794555648644573, + -2.0301257763147964, + -1.9690187464463105, + -1.8976579151402255, + -1.8178095157708465, + -1.73144596814469, + -1.6407039104761119, + -1.547837830273584, + -1.4551703670677865, + -1.3650404471983828, + -1.2797504701725422, + -1.2015137958816013, + -1.132403781404693, + -1.0743055851774335, + -1.0288718956442198, + -0.9974836525624006, + -0.9812167139991483, + -0.980815283518853, + -0.996672753439129, + -1.0288204451736582, + -1.0769245408189698, + -1.1402913058175856, + -1.21788050546635, + -1.3083267230320337, + -1.4099680990345362, + -1.520881834446232, + -1.6389256394413207, + -1.761784167836527, + -1.8870193589395392, + -2.0121235160444724, + -2.1345738865313524, + -2.251887473993076, + -2.3616748088570616, + -2.4616914306662836, + -2.5498858918648204, + -2.624443178189453, + -2.683822552496654, + -2.726788964302814, + -2.752437323153618, + -2.760209106341203, + -2.7499009562259706, + -2.721665114969402, + -2.676001740133179, + -2.6137433385685265, + -2.5360317435755757, + -2.444288236888792, + -2.3401775783511805, + -2.225566848270499, + -2.1024801269762907, + -1.9730501301524814, + -1.8394679848731585, + -1.7039323683737402, + -1.5685992386248646, + -1.4355333626635383, + -1.3066627960432615, + -1.1837373860843168, + -1.0682922649234021, + -0.9616171684006156, + -0.8647322668764571, + -0.778371027922183, + -0.7029704526493274, + -0.6386688417007804, + -0.5853110582587673, + -0.542461068536754, + -0.5094213597617927, + -0.48525866609874546, + -0.4688352785149311, + -0.4588450790437306, + -0.45385332660971006, + -0.45233913329449266, + -0.4527395087901125, + -0.45349381826014235, + -0.45308749564512657, + -0.45009388060867356, + -0.4432131020893293, + -0.431307013351193, + -0.4134292903833371, + -0.3888499347307567, + -0.35707357003756035, + -0.31785108496460396, + -0.27118434954946835, + -0.21732391307436244, + -0.1567597745038532, + -0.09020549690864714, + -0.018576110433994292, + 0.05703959008456577, + 0.13541160090140714, + 0.21520524011157716, + 0.2950206710692768, + 0.37343435752174814, + 0.4490413380852043, + 0.5204971848120767, + 0.5865585168608756, + 0.6461209755436825, + 0.698253630422613, + 0.7422288760774421, + 0.7775469934238661, + 0.8039546851631574, + 0.8214570486841893, + 0.8303226176552495, + 0.8310812814113258, + 0.8245150745826106, + 0.811642013597698, + 0.7936933370778634, + 0.7720846791526994, + 0.7483818640099505, + 0.7242621524933919, + 0.7014718936447812, + 0.6817816326168907, + 0.6669397988152771, + 0.6586261425560124, + 0.6584061037503194, + 0.6676872816677062, + 0.6876791309496636, + 0.7193569367442744, + 0.7634310228168982, + 0.8203220231420084, + 0.8901429027861573, + 0.972688251379716, + 1.0674311961244916, + 1.1735280954276013, + 1.2898309834664632, + 1.4149075449863697, + 1.5470682131369247, + 1.684399805791598, + 1.8248049519757832, + 1.9660464138354676, + 2.105795284668928, + 2.2416819430546404, + 2.3713485695832524, + 2.4925019880201913, + 2.602965578063882, + 2.700729022658626, + 2.783994698758986, + 2.8512195954702415, + 2.9011517458351066, + 2.9328602857561914, + 2.9457584025763235, + 2.939618603086692, + 2.9145799121451597, + 2.871146804262514, + 2.8101798668071827, + 2.7328783901143447, + 2.6407552719764973, + 2.535604807058554 + ], + [ + 2.4557464233742476, + 2.3343419474278906, + 2.2057163583384574, + 2.072324781835671, + 1.936687578472329, + 1.8013356477393687, + 1.6687556256092106, + 1.5413362482467885, + 1.421317125168265, + 1.3107411057749132, + 1.211411335412255, + 1.1248539830657447, + 1.0522874853087634, + 0.9945989935435934, + 0.9523285377869863, + 0.9256612345079442, + 0.914427672873444, + 0.9181124179211275, + 0.9358703754388858, + 0.9665505764139223, + 1.0087267633676602, + 1.0607340009804227, + 1.1207103930024067, + 1.1866428699298701, + 1.2564159201129275, + 1.3278620730311899, + 1.3988129089116546, + 1.4671493644290514, + 1.530850129936751, + 1.5880369887971204, + 1.6370160324594587, + 1.676313793829614, + 1.7047074734122287, + 1.7212485843447072, + 1.7252795099613072, + 1.7164426467213263, + 1.694681991722131, + 1.6602372229426339, + 1.6136305071199213, + 1.5556464501101896, + 1.4873057732634805, + 1.4098334525793759, + 1.3246221914309184, + 1.2331922091571244, + 1.1371484141098231, + 1.0381360887129178, + 0.9377962443532287, + 0.8377218047942415, + 0.7394157483465402, + 0.6442522820351163, + 0.5534420369814769, + 0.4680021653503089, + 0.38873208829907957, + 0.3161954947665854, + 0.2507090264601674, + 0.19233790923737681, + 0.14089860967654444, + 0.09596841259465352, + 0.056901635239836205, + 0.022852021420228748, + -0.007199301702136158, + -0.034411065959993055, + -0.060045190359519614, + -0.08542718383649786, + -0.11190468798970658, + -0.14080527448819571, + -0.1733946325322428, + -0.21083627327954507, + -0.2541538407253831, + -0.3041970530745896, + -0.3616122067973431, + -0.42681805961938774, + -0.49998777156822916, + -0.5810374283245019, + -0.6696215024065545, + -0.7651354293939977, + -0.8667252929670262, + -0.9733044286318908, + -1.0835765762669216, + -1.1960650406085458, + -1.309147160841728, + -1.4210932495832873, + -1.5301090413471266, + -1.6343805941442586, + -1.7321205176943486, + -1.8216143596543115, + -1.9012659684486342, + -1.9696406681319325, + -2.0255051269033504, + -2.0678628753673975, + -2.095984531631827, + -2.1094319154199046, + -2.108075379515895, + -2.0921038504920078, + -2.0620272477721797, + -2.0186711363186176, + -1.9631636589902242, + -1.8969149852039549, + -1.8215896982111164, + -1.73907271947136, + -1.651429530884309, + -1.5608615999727808, + -1.4696580358883036, + -1.3801446022399784, + -1.2946312837445257, + -1.2153596457368623, + -1.1444512375544267, + -1.083858272342208, + -1.0353177672949008, + -1.0003102508742105, + -0.9800240389437901, + -0.9753259525507418, + -0.9867391993595527, + -1.0144289721518847, + -1.058196135427249, + -1.1174791794014642, + -1.1913644242621368, + -1.2786042611828512, + -1.3776430251017697, + -1.4866499123014811, + -1.603558187820262, + -1.7261097777751344, + -1.851904213438722, + -1.9784507905083186, + -2.1032227309527287, + -2.2237120879668, + -2.337484118036666, + -2.442229858309496, + -2.5358156920068993, + -2.6163287584149715, + -2.682117165205023, + -2.7318240869951564, + -2.7644149820538853, + -2.779197325240088, + -2.775832435593954, + -2.7543391670244213, + -2.715089425630665, + -2.6587956725808595, + -2.5864907623827835, + -2.49950064816673, + -2.399410653842157, + -2.2880261636057155, + -2.1673287086310244, + -2.039428535749789, + -1.9065148210360334, + -1.7708047405929708, + -1.634492630389236, + -1.499700456310407, + -1.3684307750407707, + -1.2425232970653197, + -1.123616066786174, + -1.0131121539478891, + -0.9121526083297041, + -0.8215962695807877, + -0.7420068501720196, + -0.6736475260735562, + -0.6164830815244066, + -0.5701894658330854, + -0.5341704362245263, + -0.5075807858936209, + -0.4893554949691996, + -0.4782439980202369, + -0.47284863859250365, + -0.4716662820633783, + -0.4731319852553969, + -0.47566357650245694, + -0.4777059842576074, + -0.4777741661779585, + -0.47449353349273166, + -0.4666368362004004, + -0.4531565713995476, + -0.43321209733458266, + -0.4061907764448224, + -0.3717226282476002, + -0.3296881432487145, + -0.28021908792487, + -0.22369231362195152, + -0.1607167643244925, + -0.09211405506070407, + -0.01889315973628982, + 0.05778009978989659, + 0.13661793643878284, + 0.21624891167190985, + 0.2952586498584401, + 0.37223185965081534, + 0.4457945336686928, + 0.5146551916620734, + 0.5776440553405937, + 0.6337490946537434, + 0.6821479642021705, + 0.722234952680962, + 0.753642195190144, + 0.7762545447093727, + 0.7902176613420419, + 0.795939052004972, + 0.7940819746886734, + 0.785552305663696, + 0.7714786504077344, + 0.753186154962174, + 0.7321646394369662, + 0.710031825276928, + 0.6884925588603497, + 0.6692950426696844, + 0.6541851688533681, + 0.6448601063097006, + 0.6429223199683848, + 0.6498351989391908, + 0.6668814385935898, + 0.6951252611365349, + 0.7353794712272107, + 0.7881782298235975, + 0.853756293397569, + 0.9320353103067003, + 1.0226175952160677, + 1.124787620233472, + 1.2375212723411422, + 1.359502735442627, + 1.489148666627116, + 1.624639154763734, + 1.7639547797853574, + 1.9049189372356845, + 2.045244458677553, + 2.182583447757682, + 2.31457916688961, + 2.438918752813991, + 2.553385512195352, + 2.6559095516614444, + 2.7446155302845403, + 2.8178663856939905, + 2.8743019763193693, + 2.9128716995208115, + 2.932860285756192, + 2.9339061290782666, + 2.916011690275633, + 2.8795456966009345, + 2.8252370567113423, + 2.754160606445109, + 2.66771499557889, + 2.567593213015283, + 2.4557464233742508 + ], + [ + 2.3720322187205896, + 2.2463852624352394, + 2.1150998764426996, + 1.980679492273892, + 1.8456591181251076, + 1.7125503996713842, + 1.583787339180749, + 1.4616739322377572, + 1.3483349341221746, + 1.2456708915044077, + 1.1553184714949947, + 1.0786169917689117, + 1.0165819056267742, + 0.9698858281296893, + 0.938847507962038, + 0.9234289588791279, + 0.9232407691500375, + 0.9375554120836824, + 0.9653281902923516, + 1.0052252654389509, + 1.0556580582282997, + 1.1148231543862126, + 1.1807467249215269, + 1.251332366147695, + 1.3244111892024024, + 1.3977929419250013, + 1.469316928996979, + 1.5369015095452252, + 1.598590994529678, + 1.6525988380291234, + 1.6973461151387814, + 1.7314944020799676, + 1.75397231817948, + 1.7639951509714888, + 1.7610771607485116, + 1.745036345056606, + 1.7159916322938102, + 1.6743526620295484, + 1.6208024932314202, + 1.5562737557122088, + 1.4819189204865086, + 1.399075507397947, + 1.309227169838901, + 1.2139616936659483, + 1.114927018156748, + 1.0137864293659078, + 0.9121740895359968, + 0.8116520500550366, + 0.7136698503112244, + 0.6195277318918214, + 0.5303443988122484, + 0.4470301323949942, + 0.3702659271782076, + 0.30048915545518, + 0.23788609677310726, + 0.18239148930647608, + 0.1336950770208034, + 0.09125494459558044, + 0.05431725578981702, + 0.021941844772222788, + -0.006967041894369439, + -0.03362568858643865, + -0.059332487351659385, + -0.08542718383649785, + -0.1132488893081381, + -0.14409398860258102, + -0.17917507775279856, + -0.2195820398494817, + -0.2662463139838953, + -0.31990933125780224, + -0.3810959858445993, + -0.45009388060867284, + -0.5269389390646817, + -0.6114078122009752, + -0.7030173340124382, + -0.8010310978907942, + -0.9044730418900014, + -1.0121477489735253, + -1.122666993262762, + -1.234481899481369, + -1.3459199343927606, + -1.455225819842027, + -1.5606053503480217, + -1.6602710167977577, + -1.7524882837965152, + -1.835621343065315, + -1.9081771696758494, + -1.9688467418573625, + -2.016542347848169, + -2.0504299933233248, + -2.069956038151839, + -2.074867328831669, + -2.0652242495648716, + -2.0414062867339946, + -2.004109884302739, + -1.9543385568856815, + -1.8933854182392282, + -1.822808470989822, + -1.7443991838690196, + -1.660145051079623, + -1.5721869804738628, + -1.4827724891787588, + -1.3942057938395822, + -1.3087959650257819, + -1.2288043694510067, + -1.156392648089903, + -1.0935724723476012, + -1.0421582842189139, + -1.0037241606747105, + -0.9795658488710624, + -0.9706688994209336, + -0.9776836827617088, + -1.0009079120239626, + -1.0402771186680473, + -1.0953633388011625, + -1.1653820730946571, + -1.2492073863326096, + -1.345394818632475, + -1.4522115940135805, + -1.5676734377927295, + -1.6895871565061062, + -1.815597996540402, + -1.9432406837567644, + -2.069992958883934, + -2.1933303644715125, + -2.3107810101621014, + -2.419979044660193, + -2.5187155949938864, + -2.6049859956814285, + -2.677032220697817, + -2.7333795474659066, + -2.7728666216134683, + -2.7946682505194, + -2.7983104288140432, + -2.7836772857112435, + -2.751009837765308, + -2.7008966266302306, + -2.6342565148677632, + -2.552314099089873, + -2.456568374199053, + -2.348755440972173, + -2.2308061878851175, + -2.1047999935559765, + -1.9729155857292302, + -1.8373802542110929, + -1.7004186471708844, + -1.5642023820477775, + -1.4308016739959522, + -1.302140127154997, + -1.179953748562022, + -1.0657551334253048, + -0.9608036365841974, + -0.8660821916714166, + -0.7822812706298904, + -0.7097902960516341, + -0.6486966318066345, + -0.5987920882795907, + -0.5595866919393405, + -0.5303292895623883, + -0.5100343896622195, + -0.49751449168402784, + -0.49141702105225066, + -0.4902648784530292, + -0.49249952746796366, + -0.4965254878809056, + -0.5007550739972917, + -0.5036522187640108, + -0.5037742552376214, + -0.4998105861671947, + -0.49061725857061794, + -0.4752465709541623, + -0.4529709734033619, + -0.423300671764953, + -0.3859945126930184, + -0.3410639022349672, + -0.2887696924168095, + -0.22961215334128157, + -0.16431432799840573, + -0.09379923875581901, + -0.019161573998479862, + 0.0583653734117705, + 0.13744662091057727, + 0.21668526906267496, + 0.2946640626277973, + 0.3699876228703384, + 0.4413242156345542, + 0.5074459303788821, + 0.5672661849383175, + 0.6198735382791111, + 0.6645608872370327, + 0.7008492408393059, + 0.7285054043478016, + 0.747553061144155, + 0.7582769100805171, + 0.7612196946724141, + 0.7571721440043986, + 0.7471560288213431, + 0.7324007153456255, + 0.7143137693570687, + 0.6944463196830152, + 0.6744540294835192, + 0.6560546420233271, + 0.6409831619584547, + 0.6309458010856847, + 0.6275738572199661, + 0.632378705291441, + 0.6467090605347958, + 0.671711625163163, + 0.7082961532928835, + 0.7571058659349879, + 0.8184940210757403, + 0.8925072963133116, + 0.9788764768060622, + 1.077014763460319, + 1.1860238297180852, + 1.3047075646008428, + 1.4315932495405808, + 1.5649597316963035, + 1.7028719815055366, + 1.8432212615125463, + 1.9837699910634299, + 2.122200270833319, + 2.25616493539277, + 2.3833399335601597, + 2.5014767968872107, + 2.6084539473347093, + 2.702325616324199, + 2.78136719845911, + 2.844115943116628, + 2.8894059939312347, + 2.916396917367774, + 2.924595013960928, + 2.9138668756973973, + 2.8844448363214674, + 2.8369241536040386, + 2.77225195915582, + 2.6917082074035097, + 2.5968790461084525, + 2.489623211640916, + 2.3720322187205927 + ], + [ + 2.2851704531500565, + 2.156338199639598, + 2.023486213581045, + 1.889145064262672, + 1.7558429803980473, + 1.6260511324341476, + 1.5021303324578383, + 1.386280386923851, + 1.2804932727615432, + 1.186511214647948, + 1.105790622640194, + 1.0394727078516457, + 0.9883614329021784, + 0.9529092774164925, + 0.9332111112038799, + 0.9290062735164356, + 0.9396887606948989, + 0.9643252313559844, + 1.0016803527577245, + 1.0502488386112538, + 1.108293371594667, + 1.1738874669645614, + 1.2449622202493906, + 1.3193557947591974, + 1.3948644456232573, + 1.4692938476366202, + 1.540509494992663, + 1.6064849718895835, + 1.665346953169663, + 1.7154158820063656, + 1.7552413849405823, + 1.7836316204050326, + 1.79967591183489, + 1.802760186647683, + 1.7925749235225643, + 1.7691154979925026, + 1.7326750057077167, + 1.6838298291267844, + 1.6234183922191017, + 1.5525137145935168, + 1.4723905271859568, + 1.3844878425372305, + 1.2903679805663706, + 1.191673132971376, + 1.090080603990271, + 0.9872578909470798, + 0.8848187642309523, + 0.7842814732916197, + 0.6870301437926564, + 0.594280342866774, + 0.5070496767534203, + 0.426134150866989, + 0.3520908699792682, + 0.28522748958813327, + 0.22559865292419717, + 0.17300946590289162, + 0.12702587927981335, + 0.08699166794882073, + 0.05205152627398961, + 0.021179639895204844, + -0.006787047400069755, + -0.03311177480260231, + -0.05911811505717184, + -0.08614840857190885, + -0.11552160017828167, + -0.14849161394972804, + -0.18620738861467898, + -0.22967565437849696, + -0.27972746243996754, + -0.33698938289393876, + -0.40186016745268915, + -0.47449353349273093, + -0.5547875688620308, + -0.6423810866212187, + -0.7366570797335299, + -0.8367532421832599, + -0.9415793397284685, + -1.0498410351174583, + -1.1600696036408273, + -1.2706568196428496, + -1.3798941570314693, + -1.4860153304231372, + -1.5872411113295575, + -1.6818252881309737, + -1.7681006012161833, + -1.844523476630017, + -1.909716403149567, + -1.9625068484662234, + -2.001961688907069, + -2.027416232009936, + -2.038497039739314, + -2.035137909069169, + -2.0175885324204805, + -1.986415538955821, + -1.9424958046038308, + -1.8870021092984746, + -1.8213814095535759, + -1.7473261784477434, + -1.6667394387943757, + -1.5816942743854074, + -1.4943887447474873, + -1.4070972473070915, + -1.3221194642376812, + -1.2417280971816549, + -1.1681166297997638, + -1.1033483647146276, + -1.049307957637679, + -1.0076566178037927, + -0.9797920615251381, + -0.9668141966626701, + -0.9694973827074436, + -0.9882699571675788, + -1.0232015477915268, + -1.0739985059716706, + -1.1400076039365037, + -1.2202279417415982, + -1.3133308143956488, + -1.417687099476126, + -1.5314015459318095, + -1.652353179819062, + -1.7782408965001322, + -1.906633184912489, + -2.0350208309215434, + -2.160871375898624, + -2.2816840652470898, + -2.395044010636348, + -2.498674309455045, + -2.590484914967696, + -2.6686171296208654, + -2.731482699953817, + -2.7777966220216843, + -2.8066029179367624, + -2.817292813358382, + -2.809614928370472, + -2.783677285711243, + -2.7399411360807018, + -2.679206795469959, + -2.602591879372237, + -2.5115024987263705, + -2.407598148137386, + -2.2927511643014635, + -2.169001758076316, + -2.038509724269454, + -1.9035040065692377, + -1.7662313393967446, + -1.6289052028073174, + -1.4936563106570335, + -1.362485806556932, + -1.2372222678841913, + -1.1194835172267468, + -1.0106441156803132, + -0.9118092665590961, + -0.8237956949977836, + -0.7471198927051295, + -0.6819939321870416, + -0.6283288657044679, + -0.5857455357744491, + -0.5535924408424828, + -0.5309701263892405, + -0.5167614124694375, + -0.5096666274390345, + -0.5082428978752606, + -0.5109464493551491, + -0.5161768041401927, + -0.5223217215531273, + -0.5278017158517789, + -0.5311130048946234, + -0.5308677903054971, + -0.5258308449103398, + -0.5149514839754659, + -0.497390120622967, + -0.47253874955714037, + -0.4400348632344249, + -0.3997684767733053, + -0.35188211785474915, + -0.2967638210420925, + -0.23503334770956935, + -0.16752202850899547, + -0.09524679057737705, + -0.019379082314447457, + 0.058790459270507175, + 0.13789064327117512, + 0.2165106205028926, + 0.29324193985437363, + 0.36672063443900876, + 0.4356682048961992, + 0.4989303945751861, + 0.5555127071336902, + 0.6046116999054755, + 0.6456411941565678, + 0.678252673351799, + 0.7023492895218928, + 0.7180930620060346, + 0.7259050281086409, + 0.7264582871312962, + 0.7206640632279778, + 0.709651093932152, + 0.6947388254249636, + 0.6774050582347214, + 0.6592488339436974, + 0.6419494808812712, + 0.6272228414370891, + 0.6167757828331797, + 0.6122601448810874, + 0.6152273010354897, + 0.6270845022763883, + 0.6490541370826298, + 0.6821369758123624, + 0.72708037571117, + 0.7843523057370728, + 0.8541219112612823, + 0.9362471808695403, + 1.0302701048197889, + 1.135419531454125, + 1.2506217385363922, + 1.3745185457720446, + 1.5054926073897281, + 1.6416993442785515, + 1.7811048082473397, + 1.9215286206692646, + 2.0606909978631274, + 2.196262769309029, + 2.325917214892795, + 2.447382495865662, + 2.5584934324422157, + 2.657241389558233, + 2.74182107114159, + 2.8106730914392584, + 2.8625212878930437, + 2.8964038614821965, + 2.911697574437828, + 2.9081343983098655, + 2.8858101835851824, + 2.845185111092812, + 2.7870758806946947, + 2.7126397894972962, + 2.623351045238309, + 2.520969845889185, + 2.407504929346851, + 2.2851704531500596 + ], + [ + 2.195896016504772, + 2.064962597938978, + 1.931650462796958, + 1.7984959204827866, + 1.6679990504585847, + 1.5425696689698514, + 1.424475460667571, + 1.3157934758143937, + 1.218366112240183, + 1.133762592841799, + 1.0632468168607723, + 1.0077523096688776, + 0.9678648251041356, + 0.9438129707050131, + 0.9354670339795849, + 0.9423459918142717, + 0.9636324900567573, + 0.998195390953508, + 1.0446193070910066, + 1.101240376128394, + 1.1661873848979318, + 1.2374272279041498, + 1.3128135868376811, + 1.3901376467773718, + 1.46717962294571, + 1.5417598601491975, + 1.6117882855753798, + 1.675311043883817, + 1.730553220239196, + 1.7759566601117625, + 1.8102120216844304, + 1.832284344345418, + 1.8414315812950226, + 1.83721572163009, + 1.8195063129574962, + 1.7884763849992382, + 1.7445909630754557, + 1.688588543112232, + 1.6214560723938214, + 1.544398138403416, + 1.4588012078807944, + 1.3661938762429409, + 1.2682041808884523, + 1.1665150983825718, + 1.0628193835173712, + 0.958774916895758, + 0.8559617068686016, + 0.7558416419687362, + 0.6597220127625878, + 0.5687237192956996, + 0.4837549546945921, + 0.4054910102255597, + 0.3343606859104716, + 0.2705396177646631, + 0.21395065224853083, + 0.16427121519003177, + 0.1209474408843094, + 0.08321465190396064, + 0.05012361578931219, + 0.02057185538733613, + -0.006660841054107317, + -0.03287367255164393, + -0.05940388716267295, + -0.08758475615511137, + -0.11870359243776256, + -0.15396094462925175, + -0.19443206858583562, + -0.24103172032026268, + -0.29448322947737204, + -0.355292703017346, + -0.42372907724930886, + -0.499810586167194, + -0.5832980489505427, + -0.6736952036680708, + -0.7702561320988706, + -0.8719996367662257, + -0.9777302504119229, + -1.0860653848065058, + -1.1954679643924446, + -1.3042837448990832, + -1.4107823914608197, + -1.5132012881346897, + -1.6097909737010112, + -1.6988610492550082, + -1.7788253826833285, + -1.8482454442701983, + -1.9058706462580886, + -1.9506746263254389, + -1.9818865090525153, + -1.9990162982617883, + -2.001873693756182, + -1.9905797850013638, + -1.9655712478051708, + -1.927596853767287, + -1.877706291670396, + -1.817231490373675, + -1.747760819428933, + -1.671106721928752, + -1.5892674995719513, + -1.504384118458927, + -1.4186930319835287, + -1.3344761211474498, + -1.2540089300504695, + -1.1795084232181159, + -1.1130815105297627, + -1.056675574251203, + -1.0120321912490269, + -0.9806451728068986, + -0.9637239462343871, + -0.9621631789969061, + -0.976519400364833, + -1.0069952110965348, + -1.0534314924156665, + -1.1153078358670643, + -1.1917512201484668, + -1.2815527644754963, + -1.3831921952336592, + -1.4948694783052363, + -1.6145428980293668, + -1.7399727094449158, + -1.8687693570457162, + -1.998445144003874, + -2.1264681533570537, + -2.2503171690214923, + -2.367536320990393, + -2.475788186276085, + -2.5729041148710436, + -2.656930617307957, + -2.7261707456386657, + -2.7792195204893426, + -2.8149926003226584, + -2.832747551632295, + -2.832097256531482, + -2.8130151827277823, + -2.775832435593954, + -2.7212267081954993, + -2.6502034379362263, + -2.564069663238986, + -2.46440124589881, + -2.353004280253491, + -2.2318716453528875, + -2.1031357676223172, + -1.9690187464463098, + -1.8317810516386035, + -1.6936700286075694, + -1.5568694436017882, + -1.423451267903431, + -1.2953308371451635, + -1.1742264316934508, + -1.0616242085796825, + -0.9587492776993415, + -0.8665435584132027, + -0.7856508812055216, + -0.7164096169744537, + -0.6588529283945349, + -0.6127165482848, + -0.5774538037468072, + -0.5522574266192215, + -0.5360875249355452, + -0.5277049406583135, + -0.525709089666828, + -0.528579273957548, + -0.5347183758505141, + -0.5424977916053288, + -0.5503024384622658, + -0.5565746752370849, + -0.5598560119726329, + -0.5588255478149468, + -0.5523341665588986, + -0.5394336338566567, + -0.5193998759556934, + -0.4917498735551374, + -0.4562517720210985, + -0.412927986519552, + -0.36205126310861857, + -0.30413383985516457, + -0.2399100309693407, + -0.1703127272584411, + -0.09644446358194315, + -0.019543844465415895, + 0.05905176094738815, + 0.1379462468904833, + 0.215726443598408, + 0.29100431334035, + 0.3624585345572847, + 0.4288743538638483, + 0.48918062953720887, + 0.542483061667448, + 0.588092701591538, + 0.6255489541254954, + 0.6546364274044489, + 0.6753951432796215, + 0.6881237922185214, + 0.6933758961963391, + 0.6919489266191325, + 0.6848666072428746, + 0.6733548097164613, + 0.6588116172766774, + 0.6427722859926097, + 0.6268699688754117, + 0.6127931826598351, + 0.6022410871811334, + 0.5968777106752234, + 0.5982862893464231, + 0.6079248952084725, + 0.627084502276388, + 0.6568505881739387, + 0.6980692873571712, + 0.7513190053697782, + 0.8168882734235855, + 0.8947604723074498, + 0.9846058878503857, + 1.0857813809990025, + 1.1973377684317994, + 1.3180348191489033, + 1.4463635833642097, + 1.5805755869828246, + 1.7187182525263434, + 1.8586757498741486, + 1.9982143415625615, + 2.1350311711100995, + 2.2668053518539146, + 2.391250150409921, + 2.506165024749421, + 2.609486272941887, + 2.6993350750281437, + 2.7740617666939644, + 2.832285268109305, + 2.872926702477916, + 2.8952363738462012, + 2.898813429298639, + 2.8836177030599264, + 2.849973425052689, + 2.7985646696303292, + 2.730422616818316, + 2.646904893665895, + 2.549667452473394, + 2.4406296211042475, + 2.3219331239602425, + 2.195896016504775 + ], + [ + 2.1049642109158984, + 1.9730315362716981, + 1.8403695960982234, + 1.7094989937098195, + 1.582870527703839, + 1.4628123002351965, + 1.351479719164523, + 1.2508095500730625, + 1.1624790764489656, + 1.0878713032954639, + 1.028046994004915, + 0.983724166142877, + 0.9552654928094383, + 0.9426738668661561, + 0.9455961901616533, + 0.9633352537195453, + 0.9948693824505503, + 1.0388793339996365, + 1.0937817703084398, + 1.1577684665090424, + 1.2288502885882087, + 1.3049048620753592, + 1.3837267714219676, + 1.463079075704991, + 1.5407449020466208, + 1.6145778842056318, + 1.6825502499227787, + 1.7427974258147017, + 1.7936581212126963, + 1.8337089699675286, + 1.861792948908975, + 1.8770409498409795, + 1.878886054701589, + 1.867070246501451, + 1.8416434773120947, + 1.8029552042118338, + 1.7516386900056644, + 1.6885885431122323, + 1.6149321358692617, + 1.5319956885888144, + 1.4412659343615803, + 1.3443483837480423, + 1.2429232865796558, + 1.1387004382562982, + 1.0333739989990924, + 0.9285784860611088, + 0.8258470612121978, + 0.7265731699285483, + 0.631976496366603, + 0.543074081778514, + 0.46065731652536357, + 0.3852753607816605, + 0.3172253803520396, + 0.25654980602673394, + 0.20304064210260475, + 0.15625066672303087, + 0.11551118817364227, + 0.07995585172585898, + 0.04854983533087458, + 0.020123633380578845, + -0.00658949061927799, + -0.03291339628634913, + -0.06018738590683675, + -0.08972407443559684, + -0.12276794499219756, + -0.16045570762870304, + -0.2037795331520024, + -0.25355416021823307, + -0.3103887746299117, + -0.37466443725743304, + -0.44651769436178457, + -0.525830844910339, + -0.6122291677675289, + -0.7050852317415156, + -0.8035302279217047, + -0.9064720811923442, + -1.0126199208775086, + -1.1205143236505934, + -1.228562589367715, + -1.3350781762460453, + -1.4383233092404537, + -1.5365536874726584, + -1.6280641554227906, + -1.7112341699219826, + -1.7845718916937192, + -1.8467557564554133, + -1.896672435844941, + -1.9334501813884613, + -1.9564866533902006, + -1.9654704683695081, + -1.9603958502817131, + -1.9415699385206484, + -1.9096124854848777, + -1.865447863860847, + -1.8102894940994412, + -1.7456169911189525, + -1.6731465113714514, + -1.5947949525246965, + -1.512638813864021, + -1.4288686622025648, + -1.3457402621646746, + -1.2655235182885778, + -1.190450437217538, + -1.1226633497316196, + -1.0641646336537025, + -1.016769149626629, + -0.9820605430327698, + -0.9613524782757237, + -0.9556557583287222, + -0.9656521455878321, + -0.9916755429462218, + -1.0337010204270634, + -1.0913419868856549, + -1.1638556127306283, + -1.2501564130296459, + -1.3488377055462233, + -1.458200469952116, + -1.5762889572694874, + -1.700932236845616, + -1.8297907258013668, + -1.9604066264020465, + -2.0902571030952593, + -2.2168089653351064, + -2.3375735863680354, + -2.4501607827692458, + -2.552330404818244, + -2.642040443165001, + -2.7174905413058497, + -2.7771599141000096, + -2.819838807201506, + -2.844652787561031, + -2.8510793272684194, + -2.8389563277503673, + -2.808482424195479, + -2.7602091063412026, + -2.695024886637984, + -2.6141319355579364, + -2.519015781847997, + -2.4114088385196726, + -2.293248659373673, + -2.1666319524050466, + -2.0337654726070626, + -1.896914985203954, + -1.7583535295910482, + -1.6203102233672106, + -1.484920824673729, + -1.35418122021681, + -1.2299049271898401, + -1.1136855918628898, + -1.0068653385536193, + -0.9105096732943908, + -0.8253894805203981, + -0.7519704726800386, + -0.6904102662671029, + -0.6405630680376222, + -0.6019917668176552, + -0.5739870440016707, + -0.5555929440939862, + -0.545638189693952, + -0.5427723870283666, + -0.5455061518776643, + -0.5522540943551415, + -0.5613795366840537, + -0.571239802399034, + -0.5802309090818513, + -0.5868305198968973, + -0.5896380611518001, + -0.587410992486411, + -0.5790963210188342, + -0.5638565781478962, + -0.5410896244626983, + -0.5104418105951972, + -0.47181419573840355, + -0.425361706524559, + -0.37148530242613714, + -0.31081739516189566, + -0.24420094417349358, + -0.1726628136725167, + -0.09738212491394548, + -0.019654466489032248, + 0.05914706771198664, + 0.13761296133672152, + 0.21433937284067708, + 0.28797011441857256, + 0.35723738251878784, + 0.4210001415914878, + 0.4782791226889906, + 0.5282874852362172, + 0.5704563015379668, + 0.6044541565863207, + 0.6302003071244436, + 0.6478710098950875, + 0.657898805365267, + 0.6609647255191898, + 0.6579835779415195, + 0.6500826387252565, + 0.6385742591629922, + 0.6249230513389484, + 0.6107084615554099, + 0.5975836643282391, + 0.5872318102955397, + 0.5813207362008385, + 0.5814572921790226, + 0.5891424596227569, + 0.6057284213965872, + 0.6323787052914405, + 0.6700324523045555, + 0.7193737652324667, + 0.7808069724936912, + 0.8544384999852043, + 0.9400658835986334, + 1.0371742807122255, + 1.1449406548280878, + 1.2622456180901882, + 1.3876927263888699, + 1.5196348358490583, + 1.6562069523370773, + 1.7953648416244494, + 1.9349285211185503, + 2.072629628292996, + 2.206161559299365, + 2.3332311962987617, + 2.451610995746182, + 2.559190193417682, + 2.654023895881075, + 2.7343788721177553, + 2.7987749321078685, + 2.846020879675001, + 2.875244152355352, + 2.8859134084969447, + 2.8778534876482262, + 2.8512523505468557, + 2.806659795293421, + 2.744977941964782, + 2.6674436742231915, + 2.575603418625732, + 2.4712808256457612, + 2.356538086409687, + 2.233631771676345, + 2.104964210915902 + ], + [ + 2.013144360605829, + 1.8813227930187426, + 1.7504158909221754, + 1.6229072382158376, + 1.5011776379574115, + 1.3874538096602989, + 1.2837606849527599, + 1.19187840311719, + 1.1133049949998575, + 1.0492256070845498, + 1.0004889605020841, + 0.9675915662407331, + 0.950670032070562, + 0.9495016032338484, + 0.9635128825052898, + 0.9917964805787882, + 1.0331351596317717, + 1.086032855926506, + 1.1487518057249368, + 1.2193548565293264, + 1.295751926144991, + 1.375749478159124, + 1.4571018163720866, + 1.5375629640469544, + 1.6149378873761284, + 1.687131846371874, + 1.7521967097963278, + 1.8083731523531663, + 1.854127760072635, + 1.8881842008990657, + 1.9095477686292615, + 1.9175227757566304, + 1.9117224502612273, + 1.8920711784720277, + 1.8587991261587393, + 1.8124294582680103, + 1.75375855953938, + 1.6838298291267844, + 1.603901778100535, + 1.5154112954873162, + 1.419933062977089, + 1.3191361878042396, + 1.2147391854455682, + 1.1084644772034997, + 1.0019935717126471, + 0.8969240739120339, + 0.7947296107910264, + 0.6967236816886507, + 0.6040283342284019, + 0.5175484378552057, + 0.4379521787164469, + 0.36565823607727244, + 0.3008299257428104, + 0.2433764145121106, + 0.1929609261090891, + 0.14901567797125934, + 0.11076311430567662, + 0.07724283833864637, + 0.047343499793498924, + 0.019838766035932928, + -0.006573599752546872, + -0.033230609925947084, + -0.06146198253575047, + -0.0925482638126598, + -0.1276802715798357, + -0.16792095431419282, + -0.21417069853317358, + -0.2671370285644026, + -0.3273095297882552, + -0.3949406919767195, + -0.47003321677737825, + -0.5523341665588982, + -0.6413361549563176, + -0.7362855969999017, + -0.8361978532946711, + -0.9398789229828117, + -1.045953168725331, + -1.1528963980387774, + -1.259073483063859, + -1.3627795788599015, + -1.4622839017435483, + -1.5558749565715635, + -1.6419060571088206, + -1.7188399679321533, + -1.7852915101808027, + -1.8400670166186668, + -1.8821995929324566, + -1.9109792402536074, + -1.9259770161925927, + -1.9270625552336436, + -1.9144144306406383, + -1.8885230151054575, + -1.8501856819104598, + -1.800494377813846, + -1.7408157885048636, + -1.6727645026039313, + -1.5981697561906554, + -1.519036502336203, + -1.437501695026549, + -1.355786800547383, + -1.2761476487350951, + -1.2008228089520712, + -1.1319817193488002, + -1.0716738117665512, + -1.0217798580850943, + -0.9839667172510917, + -0.9596465866951427, + -0.9499417591360458, + -0.9556557583287224, + -0.9772515781993129, + -1.0148375826271385, + -1.0681614419277121, + -1.136612291263582, + -1.2192311004019776, + -1.3147290482196143, + -1.4215135039055387, + -1.5377210346052694, + -1.6612566907341069, + -1.7898386694825499, + -1.9210473278269231, + -2.0523774118040317, + -2.1812922914673454, + -2.305278942706683, + -2.4219023991635225, + -2.528858410249003, + -2.6240230844582095, + -2.705498369715003, + -2.771652322600672, + -2.8211532435668536, + -2.852996902544285, + -2.8665262451313773, + -2.8614431497280317, + -2.8378119961687616, + -2.7960550019618413, + -2.7369394783881047, + -2.6615573506749923, + -2.5712974695677513, + -2.4678114114229524, + -2.3529736163347232, + -2.2288368450903016, + -2.097584042781576, + -1.9614777771167982, + -1.8228084709898211, + -1.6838426704894267, + -1.5467725808236927, + -1.4136680638963923, + -1.286432223545653, + -1.1667616094947464, + -1.0561119512925181, + -0.9556701919676486, + -0.8663334313473969, + -0.788695215002088, + -0.7230394209180191, + -0.6693418068549013, + -0.627279091611179, + -0.5962452578072646, + -0.57537458689521, + -0.5635707732796013, + -0.559541317718879, + -0.5618362741652088, + -0.5688903219669671, + -0.5790670593744991, + -0.5907043663708034, + -0.6021596661040854, + -0.6118539250076545, + -0.6183132716944679, + -0.6202071828195382, + -0.616382278522908, + -0.6058908883534027, + -0.5880136876889722, + -0.5622758610568895, + -0.5284564184317627, + -0.48659046923961463, + -0.4369644418907615, + -0.38010441956572705, + -0.31675794106004745, + -0.24786978425466052, + -0.174552404956733, + -0.09805184153421867, + -0.019710012472919695, + 0.05907557322594736, + 0.13689360635648806, + 0.21236114347596702, + 0.2841650137849103, + 0.35110135163236195, + 0.4121121874780636, + 0.4663181057114552, + 0.5130460788401777, + 0.5518517116697769, + 0.5825352730717298, + 0.6051510531468224, + 0.6200097559915366, + 0.6276738185120128, + 0.6289457292473439, + 0.6248496033177656, + 0.6166064457887077, + 0.6056037014678054, + 0.5933598402143607, + 0.581484859386907, + 0.5716376956908527, + 0.5654816245652396, + 0.5646387841320643, + 0.5706449910628738, + 0.5849060166471811, + 0.6086564627621983, + 0.6429223199683839, + 0.6884882049390739, + 0.7458701639150378, + 0.8152947955375835, + 0.896685293513547, + 0.9896548408543776, + 1.0935076070639798, + 1.2072474120805743, + 1.3295939306500455, + 1.4590061228404794, + 1.5937123952749486, + 1.7317468278780057, + 1.8709906467461224, + 2.009217989031044, + 2.1441448938615264, + 2.2734803671599737, + 2.394978309941535, + 2.5064890708364396, + 2.6060093849493478, + 2.69172949281621, + 2.76207629444619, + 2.8157514828210655, + 2.851763716647065, + 2.869454030850731, + 2.868513841939971, + 2.8489950800774344, + 2.8113121662984035, + 2.756235747214783, + 2.6848782960604924, + 2.5986718832619715, + 2.499338607119932, + 2.388854351088726, + 2.2694066942408724, + 2.143347941892298, + 2.013144360605833 + ], + [ + 1.9212133030571439, + 1.790612265646713, + 1.6625503963191206, + 1.5394532594355383, + 1.4236115400330118, + 1.3171317641755291, + 1.2218912917049258, + 1.139498619116673, + 1.0712599028734429, + 1.0181524642863793, + 0.9808058697858663, + 0.9594909990577029, + 0.954117322564828, + 0.9642384140688329, + 0.9890655276858713, + 1.0274888775339195, + 1.0781060758100058, + 1.1392570166014013, + 1.2090643419666476, + 1.285478497461515, + 1.3663262794412103, + 1.449361698645819, + 1.5323179356051704, + 1.612959144403545, + 1.689130872705636, + 1.7588079072969558, + 1.820138424630112, + 1.8714834231793398, + 1.9114505363114327, + 1.9389214678023694, + 1.953072453461153, + 1.9533873275268874, + 1.939662957208864, + 1.9120069983442989, + 1.8708281149451673, + 1.8168189906913041, + 1.7509326366210956, + 1.6743526620295486, + 1.5884583209056584, + 1.494785270569084, + 1.3949830794724678, + 1.2907705949978663, + 1.183890327735235, + 1.0760630251366132, + 0.9689435942726858, + 0.864079491099101, + 0.7628726233164578, + 0.6665457174266004, + 0.5761139804463609, + 0.4923627460238513, + 0.41583163700789744, + 0.34680560586424486, + 0.2853130350478069, + 0.2311308960740344, + 0.1837967832264132, + 0.14262746021342687, + 0.10674339013386337, + 0.07509856506323118, + 0.04651481532170449, + 0.019719663460038023, + -0.006613302897837206, + -0.03382262969950598, + -0.06321689338517185, + -0.09603343036620993, + -0.13339901169489235, + -0.1762935253206991, + -0.22551765076816843, + -0.28166540814624463, + -0.34510233770703275, + -0.415949920885169, + -0.49407669253555736, + -0.5790963210188333, + -0.6703727522342281, + -0.7670323302348171, + -0.8679826253248456, + -0.9719375251393125, + -1.077447979595131, + -1.1829376409686778, + -1.2867425095138691, + -1.38715358633951, + -1.4824614515152355, + -1.5710016287518527, + -1.6511995700073057, + -1.7216140947926912, + -1.7809781498465476, + -1.8282358145256674, + -1.8625745643207123, + -1.8834519172510964, + -1.890615722796154, + -1.8841175071791063, + -1.864318458449954, + -1.8318878157318903, + -1.7877936147310922, + -1.7332859315100337, + -1.6698729538732078, + -1.599290389847576, + -1.5234648911627475, + -1.4444723221329596, + -1.3644918370848345, + -1.2857568391129044, + -1.2105039766954218, + -1.1409213904163207, + -1.0790974482548217, + -1.026971203887124, + -0.9862857782045782, + -0.9585458005457589, + -0.9449799544491928, + -0.9465095552351954, + -0.9637239462343873, + -0.9968633403826523, + -1.0458095580709394, + -1.1100849248390667, + -1.188859398289364, + -1.2809657971977182, + -1.384922812005215, + -1.4989652894131478, + -1.6210811092326876, + -1.7490538132256466, + -1.8805100072894407, + -2.0129704433743654, + -2.1439035987899158, + -2.2707805102326133, + -2.391129589430099, + -2.502590147492481, + -2.602963385890103, + -2.690259672684919, + -2.7627410117473987, + -2.8189577280141846, + -2.857778530564699, + -2.8784132740268706, + -2.8804279136848, + -2.8637513363834404, + -2.8286739433496617, + -2.775838057642439, + -2.7062204233167706, + -2.621107250805004, + -2.522062438930764, + -2.410889764107891, + -2.289589967765887, + -2.1603137904988934, + -2.025312093042427, + -1.8868842677659263, + -1.7473261784477427, + -1.6088788699182865, + -1.4736792627090964, + -1.3437139918681964, + -1.220777465058569, + -1.1064351051002597, + -1.00199260903393, + -0.9084719029279561, + -0.8265943028552092, + -0.7567712119489018, + -0.6991024957088194, + -0.6533824874380629, + -0.6191133875668413, + -0.5955256393201811, + -0.5816046931866755, + -0.5761234181311479, + -0.5776792822559987, + -0.5847353129571552, + -0.595663759274323, + -0.6087913191985519, + -0.6224447635819766, + -0.6349957866821405, + -0.6449039412153651, + -0.6507565723034822, + -0.651304748373853, + -0.6454942957349123, + -0.6324911743982738, + -0.6117005824019506, + -0.582779340589799, + -0.5456412853308338, + -0.5004555785645715, + -0.4476380282266639, + -0.3878356928961925, + -0.3219052178431939, + -0.2508855111655858, + -0.17596551431377566, + -0.098447947337105, + -0.019710012472919695, + 0.05883788236497381, + 0.1357942680184276, + 0.20980849221986222, + 0.27962120431255166, + 0.34410235549589197, + 0.40228568763722045, + 0.4533987742206547, + 0.49688779167425484, + 0.5324363352359263, + 0.5599777472546642, + 0.5797005934951528, + 0.592047100384354, + 0.5977045487244995, + 0.5975898025780221, + 0.5928273311664821, + 0.5847212521736217, + 0.5747220824683495, + 0.5643890229515444, + 0.5553487243852769, + 0.5492515775986094, + 0.5477266418822847, + 0.5523363678379821, + 0.5645322842868418, + 0.5856128026442815, + 0.6166842467503988, + 0.6586261425560113, + 0.7120617020588823, + 0.7773343118822731, + 0.8544906919125858, + 0.9432712270184713, + 1.043107799057039, + 1.1531292614735913, + 1.2721745093959762, + 1.3988129089116552, + 1.5313716649000706, + 1.6679695319686596, + 1.8065561120763498, + 1.944955839358966, + 2.0809156310967225, + 2.2121550867604145, + 2.3364180471153184, + 2.4515242842599254, + 2.5554200823328173, + 2.646226487798136, + 2.722284057335243, + 2.782193009287324, + 2.8248477895325452, + 2.849465192026049, + 2.8556053250120432, + 2.8431848823817463, + 2.8124823617728896, + 2.7641350623464507, + 2.6991278910806615, + 2.61877420211721, + 2.5246890844057797, + 2.418755693964053, + 2.3030853940754463, + 2.179972615602957, + 2.0518454766619727, + 1.9212133030571474 + ], + [ + 1.8299488166159816, + 1.701667406264156, + 1.5775164941329887, + 1.459843115792757, + 1.3508284782181388, + 1.2524411201067749, + 1.1663949824841173, + 1.0941133547462762, + 1.0366995205747327, + 0.9949147677497809, + 0.9691642497104203, + 0.9594909990577026, + 0.9655781986547375, + 0.9867596192829639, + 1.022037938762466, + 1.0701104707557045, + 1.1294016566848146, + 1.1981015155408077, + 1.274209107685236, + 1.355579953382033, + 1.4399762575127242, + 1.52511873084022, + 1.6087387667168287, + 1.6886297309717855, + 1.7626961518065472, + 1.828999655071663, + 1.8858005767726633, + 1.9315942968443114, + 1.9651414733032577, + 1.9854915104405626, + 1.9919987648758282, + 1.984331174814881, + 1.9624711862124988, + 1.9267090400610831, + 1.8776286729830667, + 1.8160866640511277, + 1.7431848298374446, + 1.6602372229426339, + 1.5687324229207449, + 1.470292119338308, + 1.3666270719981617, + 1.2594915910796411, + 1.1506377087441535, + 1.0417702130019466, + 0.9345036844436332, + 0.8303226176552483, + 0.7305456233179777, + 0.6362945963757388, + 0.5484696030848653, + 0.46773008863399995, + 0.39448284119222893, + 0.3288769719250924, + 0.2708059881837807, + 0.2199168533396518, + 0.17562574625018565, + 0.13714006066246628, + 0.10348602434364199, + 0.07354117342181817, + 0.04607079296110665, + 0.01976733331458074, + -0.006708264148573962, + -0.03468444685184956, + -0.06543727111520868, + -0.10015008801014852, + -0.13987578220823477, + -0.1855025849088753, + -0.2377243895065245, + -0.29701638229833005, + -0.36361666317991553, + -0.43751437639943336, + -0.5184447029516127, + -0.6058908883534025, + -0.6990932968490814, + -0.797065300170039, + -0.8986156304580794, + -1.0023766573809192, + -1.1068378931353855, + -1.2103838899312904, + -1.3113355762336028, + -1.4079939835522302, + -1.4986852473540018, + -1.5818057255219853, + -1.655866066793762, + -1.7195330801350492, + -1.7716683036711989, + -1.8113622474998008, + -1.8379633866321883, + -1.851101105989783, + -1.850701945744183, + -1.8369986587452898, + -1.8105317683030753, + -1.7721434998143673, + -1.7229641490678445, + -1.6643911388173036, + -1.5980611986874513, + -1.5258162770912211, + -1.4496639532501951, + -1.371733258620157, + -1.294226936474402, + -1.2193712630617835, + -1.14936462121521, + -1.086326055787841, + -1.0322450487994634, + -0.9889337303841588, + -0.9579826899891973, + -0.9407214719690531, + -0.9381847326404473, + -0.9510849045712643, + -0.9797920615251385, + -1.0243215077553562, + -1.084329432350392, + -1.1591167775251052, + -1.2476412737954772, + -1.3485373996476893, + -1.4601438333817813, + -1.5805377849163238, + -1.707575429882159, + -1.8389375213591763, + -1.9721791297191937, + -2.1047823612904786, + -2.234210834401726, + -2.357964648566427, + -2.4736345701862126, + -2.578954176492426, + -2.671848748065739, + -2.750479777989578, + -2.813284070608003, + -2.8590065324106497, + -2.886725908592412, + -2.895872887645482, + -2.8862401788147602, + -2.8579843589310743, + -2.8116194813549327, + -2.748002635734486, + -2.6683118382336346, + -2.5740168131767973, + -2.4668433942852706, + -2.3487324227964357, + -2.2217941471614844, + -2.0882592316483266, + -1.950427556585823, + -1.8106160393975033, + -1.6711067219287514, + -1.5340963555519667, + -1.4016486715697751, + -1.2756504516930782, + -1.1577724137214753, + -1.0494358035316118, + -0.9517854392119149, + -0.8656697903172867, + -0.7916284988270319, + -0.7298875628724458, + -0.6803622142712918, + -0.6426673310805286, + -0.6161350414558471, + -0.5998389996544364, + -0.5926246533576859, + -0.593144677593045, + -0.5998986279178042, + -0.6112757671740925, + -0.6255999484049933, + -0.6411753931388076, + -0.6563321901944731, + -0.6694703556945947, + -0.6791013396125631, + -0.6838859367200264, + -0.6826676583383461, + -0.6745007432834726, + -0.658672128696741, + -0.6347168604391173, + -0.6024265943466476, + -0.5618510195422033, + -0.5132922186143513, + -0.45729216216201146, + -0.39461371234671644, + -0.3262156772205804, + -0.2532226104919709, + -0.1768901861990449, + -0.09856709108827215, + -0.019654466489032255, + 0.058436006101306184, + 0.13432424722233627, + 0.2067030156570772, + 0.2743771286857301, + 0.33629960878377424, + 0.3916037787041536, + 0.4396304316070655, + 0.47994933015958097, + 0.5123744351066032, + 0.5369724260109328, + 0.554064250574552, + 0.5642196197932224, + 0.568244549586379, + 0.5671622308395656, + 0.5621876844003124, + 0.5546968210461966, + 0.5461906746354525, + 0.5382557057739872, + 0.5325211800793699, + 0.5306147067404036, + 0.5341170774343938, + 0.5445175713273467, + 0.5631708881162832, + 0.5912568378846981, + 0.6297438546760349, + 0.6793573116091705, + 0.7405535012112182, + 0.8135000082046802, + 0.89806304659902, + 0.9938021624221506, + 1.0999725219924845, + 1.2155348177656489, + 1.339172634151159, + 1.4693169289969794, + 1.6041771073360387, + 1.7417779969520248, + 1.8800018845362052, + 2.016634640463844, + 2.149414852820157, + 2.2760848099827773, + 2.3944421179133513, + 2.5023907147238553, + 2.597990051736522, + 2.6795012470754993, + 2.745429083996245, + 2.7945588201306832, + 2.825986893371403, + 2.839144752370343, + 2.833815201157293, + 2.810140824281617, + 2.768624246853643, + 2.7101201783383146, + 2.6358193851955507, + 2.5472249306821384, + 2.4461212056105364, + 2.33453644706758, + 2.214699598793149, + 2.088992503270599, + 1.9598985282465562, + 1.8299488166159854 + ], + [ + 1.7401230401352867, + 1.6152407286294577, + 1.4960336096545552, + 1.3847503451267138, + 1.2834442301504583, + 1.1939291895757096, + 1.1177412811787082, + 1.0561065898796413, + 1.009916244576726, + 0.979709118902633, + 0.965662593649478, + 0.9675915662407331, + 0.9849556961424645, + 1.0168746792891674, + 1.0621511542171802, + 1.1193006622789967, + 1.186587918430481, + 1.262068501656257, + 1.3436349486843777, + 1.429066134252522, + 1.5160787482180502, + 1.6023796359695124, + 1.6857177548950335, + 1.763934516347977, + 1.8350113291289993, + 1.8971132357476939, + 1.9486276347043918, + 1.988197208156393, + 2.014746321425733, + 2.0275003251797425, + 2.025997368664361, + 2.010092518670304, + 1.9799541693339195, + 1.9360529176967072, + 1.8791432644741486, + 1.810238674162239, + 1.730580689139739, + 1.641602934868025, + 1.5448909741688175, + 1.4421390649376786, + 1.335104945208643, + 1.2255638105766233, + 1.1152626606759697, + 1.0058761735078354, + 0.8989652194468821, + 0.7959390520049723, + 0.6980221118437079, + 0.6062262567089448, + 0.5213290860856167, + 0.4438588691135742, + 0.37408641174248214, + 0.31202401861573975, + 0.25743152133171604, + 0.20982916218490794, + 0.16851694585066224, + 0.1325999052016553, + 0.10101857572357258, + 0.07258383965242139, + 0.04601518934179849, + 0.019981372291020785, + -0.006857680089605444, + -0.03580877001989223, + -0.0681043303255324, + -0.10486340795799885, + -0.14705578671054803, + -0.19547022026745844, + -0.25068764021490303, + -0.31306007483293724, + -0.3826958666355741, + -0.4594516134678331, + -0.5429310836307726, + -0.6324911743982735, + -0.7272547999972396, + -0.8261304142898414, + -0.9278376996093523, + -1.030938790875004, + -1.1338742573784564, + -1.2350029372408222, + -1.3326446147501199, + -1.4251244513072547, + -1.5108180286056996, + -1.5881958393343754, + -1.6558660667937617, + -1.7126145302849014, + -1.757440737166154, + -1.7895890735534832, + -1.808574281566816, + -1.8142005089718483, + -1.8065733736517322, + -1.7861046567114685, + -1.7535094199374026, + -1.709795531300162, + -1.6562457715358958, + -1.5943928808570897, + -1.5259880828916594, + -1.4529637885762, + -1.3773913317830477, + -1.3014347171899192, + -1.2273014660496462, + -1.1571917244072283, + -1.0932468489076967, + -1.0374987063022585, + -0.9918209134830703, + -0.9578832054956437, + -0.9371100503725478, + -0.9306445334063344, + -0.9393184119202818, + -0.9636290976184995, + -1.0037241606747114, + -1.0593937717964887, + -1.1300713098986501, + -1.2148421683249366, + -1.312460596516038, + -1.4213742214186653, + -1.5397557084705666, + -1.665540850191135, + -1.7964722154618622, + -1.9301473582910451, + -2.0640704745153022, + -2.195706311204325, + -2.322535078561697, + -2.4421070892072105, + -2.5520958555038984, + -2.6503484119229, + -2.734931695440923, + -2.8041739110313997, + -2.856699929147859, + -2.891459904782582, + -2.9077504697330414, + -2.905228027168338, + -2.8839138661281782, + -2.8441910086097675, + -2.7867928986502823, + -2.712784236502995, + -2.6235344469223296, + -2.520684444201374, + -2.4061075137358725, + -2.2818652667226003, + -2.150159737841786, + -2.013282782711537, + -1.8735639904758252, + -1.7333183557352934, + -1.5947949525246958, + -1.46012782130148, + -1.3312902188009814, + -1.2100532917200228, + -1.0979501207787954, + -0.9962459446725517, + -0.9059152172021707, + -0.8276259793765037, + -0.7617318457871504, + -0.7082717156088966, + -0.6669771278664721, + -0.6372869928537467, + -0.6183692514340126, + -0.6091488458297853, + -0.6083412335586059, + -0.6144905441080374, + -0.6260113689856283, + -0.6412330925636531, + -0.6584456156526527, + -0.6759452972757709, + -0.6920799432449157, + -0.7052917026876824, + -0.714156794734309, + -0.7174210755299284, + -0.7140305683028392, + -0.7031562134967608, + -0.6842122485284222, + -0.6568677936732934, + -0.621051397670169, + -0.5769484793794546, + -0.5249917856054872, + -0.4658451653551656, + -0.4003811328056589, + -0.3296528507553691, + -0.2548613093159652, + -0.17731859746997247, + -0.09840826477767205, + -0.0195438444654159, + 0.05787334448998618, + 0.13249598100934107, + 0.20307098752457725, + 0.2684771541572197, + 0.3277591262639764, + 0.3801568344620559, + 0.4251295642794444, + 0.4623740013453113, + 0.4918357440350152, + 0.5137139447682845, + 0.528458919446706, + 0.5367627472960212, + 0.5395430660211613, + 0.5379204450575149, + 0.5331898882954965, + 0.5267871726799805, + 0.5202508665899893, + 0.515180988370472, + 0.5131953578235952, + 0.5158847594769761, + 0.5247680742951946, + 0.5412485451566837, + 0.5665723205788398, + 0.6017903712763419, + 0.6477247963465156, + 0.704940432056711, + 0.7737225488825665, + 0.8540612747262071, + 0.9456432177595238, + 1.0478505851455602, + 1.159767908373099, + 1.2801962966950848, + 1.4076749518936964, + 1.5405094949926634, + 1.676806483160537, + 1.8145133372125737, + 1.9514627607879693, + 2.0854206149683816, + 2.2141361197893157, + 2.3353931891416213, + 2.447061669658929, + 2.547147248314276, + 2.6338388178432663, + 2.7055521432609506, + 2.76096875540042, + 2.7990691066209403, + 2.8191591570037113, + 2.8208897132694846, + 2.804268013594436, + 2.7696612353237176, + 2.7177917948179346, + 2.6497245046347175, + 2.566845848166665, + 2.4708358209680332, + 2.363632966683221, + 2.2473933993688995, + 2.124444749064952, + 1.9972360901631017, + 1.8682850094361112, + 1.7401230401352905 + ], + [ + 1.652495940330713, + 1.5320634415439252, + 1.4187911249579335, + 1.314810266257109, + 1.2220288970603428, + 1.1420910099915766, + 1.0763418201177937, + 1.0257998789457965, + 0.9911366735139356, + 0.9726641644148165, + 0.9703305271978327, + 0.9837241661428768, + 1.0120858726308453, + 1.0543288070525707, + 1.1090657980958298, + 1.174643280824693, + 1.249181039395558, + 1.330616785299821, + 1.4167544909336698, + 1.5053153137299418, + 1.5939898900490523, + 1.6804907518153445, + 1.762603623066409, + 1.8382363879720336, + 1.9054645855498547, + 1.962572377610782, + 2.0080880530856264, + 2.0408132708727758, + 2.0598454012172924, + 2.064592498438009, + 2.054780621254158, + 2.0304534064669975, + 1.9919639926247794, + 1.9399595778182206, + 1.875359075289038, + 1.799324497665343, + 1.7132268512617206, + 1.6186074523149445, + 1.517135684094696, + 1.4105642949468271, + 1.3006833905604764, + 1.189274297864364, + 1.078064472444732, + 0.9686845864706375, + 0.8626288707776433, + 0.7612196946724143, + 0.6655772525177772, + 0.5765950901858782, + 0.494922050503653, + 0.42095104878156686, + 0.3548149116812914, + 0.2963893295472323, + 0.2453027885331962, + 0.20095316904170418, + 0.16253052569599172, + 0.12904540560063615, + 0.09936192000551418, + 0.0722346632319285, + 0.04634847489556026, + 0.020359969522763734, + -0.007060286594459046, + -0.03718608692087033, + -0.07119550648836562, + -0.11013351339020055, + -0.1548782791147534, + -0.20611210069090846, + -0.26429772792637324, + -0.3296607488513697, + -0.40217852937933585, + -0.481576033138057, + -0.567328668712278, + -0.6586721286967406, + -0.7546190026188443, + -0.8539817685766565, + -0.9554016008505076, + -1.0573822770476937, + -1.1583283324487528, + -1.2565864946167884, + -1.3504893409551217, + -1.438400058095751, + -1.518757146450793, + -1.5901179069346107, + -1.6511995700073057, + -1.7009169793046592, + -1.7384158219820927, + -1.763100503590773, + -1.77465589425217, + -1.773062321945775, + -1.7586033542071091, + -1.7318660873646472, + -1.6937338482230155, + -1.6453714022156822, + -1.5882029497995762, + -1.5238833745663074, + -1.4542633776589202, + -1.3813492893214772, + -1.3072584858426504, + -1.2341714553131975, + -1.1642816455744809, + -1.0997442901828187, + -1.042625441520185, + -0.9948524434308497, + -0.9581670487825489, + -0.9340823307126583, + -0.9238444513307631, + -0.9284002403177095, + -0.948371400848993, + -0.9840360048274097, + -1.0353177672949017, + -1.1017834052818816, + -1.1826481937332194, + -1.276789635216368, + -1.3827689656497524, + -1.4988600300394261, + -1.6230848847835357, + -1.7532553208410306, + -1.8870193589395392, + -2.0219116475278875, + -2.155406599319483, + -2.2849730353560767, + -2.4081290681970575, + -2.5224959490322543, + -2.6258496274052323, + -2.716168826245901, + -2.7916785177355012, + -2.8508877951479783, + -2.8926212695578206, + -2.9160432749143967, + -2.9206743366856145, + -2.906399543881828, + -2.8734686572830515, + -2.8224879834048004, + -2.7544042393595483, + -2.670480823541973, + -2.572267086375351, + -2.461561359853438, + -2.340368650315319, + -2.210854022284502, + -2.075292799324578, + -1.9360187783737608, + -1.795371695262885, + -1.6556451901606795, + -1.5190365023362034, + -1.3875990744377287, + -1.2631991687507025, + -1.1474774936054555, + -1.0418167098987199, + -0.9473155387977127, + -0.8647700258394118, + -0.7946623379611867, + -0.7371572829486718, + -0.6921065500073862, + -0.6590604803821656, + -0.6372869928537465, + -0.6257971150739308, + -0.6233764123348304, + -0.6286214644091018, + -0.6399804219862935, + -0.6557965798538868, + -0.674353836597197, + -0.6939228718095516, + -0.7128068624868821, + -0.7293855805664552, + -0.7421567628564975, + -0.7497737215674984, + -0.7510782662840331, + -0.745128133857154, + -0.7312182681300241, + -0.7088954529225058, + -0.6779659751859061, + -0.6384961762964264, + -0.5908059335006861, + -0.5354552959071197, + -0.4732246755288344, + -0.40508915928614964, + -0.3321876584041168, + -0.255787743503998, + -0.17724712357334804, + -0.09797281214776213, + -0.01937908231444747, + 0.05715465790285285, + 0.13032493733890385, + 0.19894313642387484, + 0.26197119718130063, + 0.3185531642832285, + 0.36804170123901675, + 0.4100188561371006, + 0.4443105004661416, + 0.4709940286414916, + 0.4903990808026147, + 0.5031012327995007, + 0.5099087804584536, + 0.5118429255673776, + 0.5101118439716452, + 0.5060792773287335, + 0.5012284353294116, + 0.49712212084592217, + 0.4953600932916615, + 0.497534762819271, + 0.5051863578275526, + 0.5197587292617166, + 0.5425569467666483, + 0.5747078040167125, + 0.6171242843602418, + 0.6704749448588397, + 0.7351590591231524, + 0.8112882199204626, + 0.8986749447778997, + 0.9968286556158062, + 1.1049592210752703, + 1.2219880621723822, + 1.3465666328905037, + 1.4771019020178342, + 1.6117882855753802, + 1.7486453149889225, + 1.8855601788585852, + 2.020334149482138, + 2.15073180240226, + 2.274531860798933, + 2.3895784485119154, + 2.493831517133666, + 2.5854152245044513, + 2.662663083870036, + 2.724158773984595, + 2.7687715988959076, + 2.7956857096934584, + 2.8044223461687268, + 2.7948545206147672, + 2.7672137449005083, + 2.722088591147855, + 2.6604150712119323, + 2.583459015964545, + 2.4927908273281503, + 2.390253159409543, + 2.2779222554515117, + 2.158063820484222, + 2.033084441760341, + 1.905479677055604, + 1.7777800120553646, + 1.6524959403307165 + ], + [ + 1.5678088821183216, + 1.452839262494453, + 1.346442546416279, + 1.2506146038994266, + 1.1671020804564898, + 1.0973651558107012, + 1.0425468574754189, + 1.0034496304331852, + 0.980519691055406, + 0.9738395077891767, + 0.9831285575254005, + 1.0077523096688776, + 1.046739194550243, + 1.09880512370411, + 1.162384951282083, + 1.235670102797076, + 1.3166514534529714, + 1.4031664169734235, + 1.4929491100187127, + 1.583682389252766, + 1.6730505194906466, + 1.7587912229919775, + 1.8387458819949734, + 1.9109067183880353, + 1.9734598546393296, + 2.024823266700166, + 2.0636787698707173, + 2.0889973292938393, + 2.1000571540553334, + 2.096454213645198, + 2.078105003303738, + 2.045241575880795, + 1.9983990475455298, + 1.938395968313211, + 1.8663081213806063, + 1.7834364734323251, + 1.691270137524538, + 1.5914453274713662, + 1.4857013750118198, + 1.3758349462076227, + 1.263653629981917, + 1.150930078641601, + 1.0393578575552493, + 0.9305101095460723, + 0.8258020603880436, + 0.7264582871312963, + 0.6334855435315496, + 0.5476517898835799, + 0.46947191180931735, + 0.39920043816389383, + 0.33683138661962786, + 0.2821051812638672, + 0.23452240435601088, + 0.19336396882846474, + 0.15771713360956857, + 0.12650663453446287, + 0.0985300732464868, + 0.07249659835086095, + 0.04706782987579371, + 0.020899921905911837, + -0.007314369520423216, + -0.03880474483055859, + -0.0746846468545976, + -0.11591581683004733, + -0.16327707759539317, + -0.2173381910553372, + -0.27843950514026117, + -0.3466779551395408, + -0.4218998192683831, + -0.5037004528082809, + -0.5914310435863065, + -0.6842122485284219, + -0.7809543911772737, + -0.8803837279703366, + -0.9810741311042376, + -1.0814833920401536, + -1.1799932258055852, + -1.2749519553971174, + -1.3647187803900829, + -1.4477084862770075, + -1.5224354323598215, + -1.5875556667610482, + -1.6419060571088204, + -1.6845393937688173, + -1.7147545175103442, + -1.73212064289977, + -1.736495189593177, + -1.728034592589045, + -1.7071977354814964, + -1.6747418335447317, + -1.6317107815453724, + -1.5794161698452334, + -1.5194113569205032, + -1.4534591622740916, + -1.3834939064513017, + -1.3115786703966779, + -1.2398587710411337, + -1.1705125506224419, + -1.1057006512469203, + -1.0475149916773538, + -0.9979286790656213, + -0.9587480738551603, + -0.9315681816218129, + -0.9177324722058856, + -0.9182981258344893, + -0.9340075804382632, + -0.9652671070437193, + -1.0121329745287768, + -1.0743055851774328, + -1.1511317727307202, + -1.2416152596255485, + -1.3444350745979488, + -1.457971540578849, + -1.5803392605063118, + -1.7094263597821984, + -1.842939092753062, + -1.9784507905083186, + -2.1134540216589452, + -2.245414759185825, + -2.371827296865757, + -2.4902686394237716, + -2.598451101911063, + -2.6942718956059664, + -2.77585854897218, + -2.841609111154632, + -2.8902262097414138, + -2.920744181043428, + -2.9325486563706766, + -2.9253881676875957, + -2.8993775262244386, + -2.8549929234727203, + -2.7930589007301383, + -2.7147275261963664, + -2.621450302867582, + -2.5149435016616706, + -2.3971477681800732, + -2.270182984555321, + -2.136299476743042, + -1.9978267397873917, + -1.8571209070740553, + -1.7165122131469215, + -1.5782536928019308, + -1.4444723221329587, + -1.3171237409788126, + -1.1979516025139152, + -1.088452476917297, + -0.9898470951379527, + -0.903058559282057, + -0.8286979720609787, + -0.7670577533939276, + -0.7181127222333262, + -0.6815288306837244, + -0.6566792502384131, + -0.6426673310805281, + -0.6383557892880614, + -0.642401327518892, + -0.6532937659792697, + -0.6693986553266621, + -0.6890022641606729, + -0.7103577827928929, + -0.7317315632349614, + -0.7514482232504065, + -0.7679334795863576, + -0.7797536411103819, + -0.7856507847942794, + -0.7845727539185081, + -0.7756972555248922, + -0.7584494895028409, + -0.7325129108005399, + -0.6978329048143227, + -0.6546133395043894, + -0.6033061415734626, + -0.5445942234873047, + -0.47936825868768207, + -0.40869795975375733, + -0.3337986545471017, + -0.2559940750036223, + -0.17667636921067936, + -0.09726441732483597, + -0.019161573998479873, + 0.056286026753642734, + 0.12782948422288498, + 0.1943543858431559, + 0.2549143010979683, + 0.3087596094456328, + 0.3553608785442634, + 0.39442615060859165, + 0.42591165291333694, + 0.4500256192692454, + 0.4672250884131693, + 0.4782057281364557, + 0.48388491599152367, + 0.4853784839477235, + 0.4839717009306784, + 0.48108521953649375, + 0.47823684747793616, + 0.4770001170581223, + 0.47896071427897957, + 0.4856718907866341, + 0.49861001511116915, + 0.5191314236596977, + 0.5484317064875618, + 0.5875085085586687, + 0.6371288452930326, + 0.6978018236620337, + 0.769757529549428, + 0.8529326917492658, + 0.9469635665232045, + 1.0511863082019282, + 1.1646449053093633, + 1.2861065727342504, + 1.4140843032747723, + 1.546866101109469, + 1.6825502499227791, + 1.8190858137964847, + 1.9543174334606717, + 2.086033367505699, + 2.2120156405661437, + 2.330091100550682, + 2.438182156280276, + 2.534355966264328, + 2.6168708788993555, + 2.684218983483115, + 2.7351637187309157, + 2.768771598895908, + 2.78443725441725, + 2.7819011409545964, + 2.7612594439171096, + 2.722965890955909, + 2.6678253778506242, + 2.596979509080608, + 2.5118843483474245, + 2.4142808616665787, + 2.3061587117875213, + 2.1897142233169684, + 2.067303479073007, + 1.9413916264201228, + 1.8144995647232465, + 1.6891492493361353, + 1.567808882118325 + ], + [ + 1.4867783563319206, + 1.3782384638851501, + 1.2795999757421603, + 1.1927064824060805, + 1.1191284860620354, + 1.0601300279981332, + 1.0166423139279328, + 0.9892449375578269, + 0.9781551216769757, + 0.9832252050889175, + 1.003948407504436, + 1.0394727078516457, + 1.0886224791164125, + 1.1499273394791498, + 1.2216575096127922, + 1.3018648136673083, + 1.3884283303690845, + 1.4791035939640231, + 1.5715741649835884, + 1.663504339900566, + 1.752591747842414, + 1.8366185920818898, + 1.9135003337154248, + 1.9813306837169629, + 2.038421865652717, + 2.083339232325302, + 2.1149294624405757, + 2.1323417244818055, + 2.13504137031482, + 2.122815906273066, + 2.0957731799865593, + 2.054331912306733, + 1.999204890619646, + 1.931375318025633, + 1.852066977914522, + 1.7627090213376093, + 1.6648963116619344, + 1.5603463642044684, + 1.4508539953992163, + 1.3382448447256086, + 1.224328952003616, + 1.1108555623539154, + 0.999470291484429, + 0.8916757160830695, + 0.788796359758301, + 0.6919489266191327, + 0.6020184952647124, + 0.5196412292196002, + 0.4451939896922829, + 0.3787910572686439, + 0.320287985317151, + 0.26929242412377247, + 0.22518157572847863, + 0.18712576961314595, + 0.15411749306652867, + 0.1250050711551623, + 0.09853007324648677, + 0.07336742891958557, + 0.04816716821385423, + 0.021596661198972435, + -0.00761777921097046, + -0.040651049170589974, + -0.07854223171787598, + -0.12216139737391589, + -0.1721811245168214, + -0.22905351355639772, + -0.2929933260221102, + -0.36396772043187897, + -0.44169288526626915, + -0.5256376898766807, + -0.6150342912549747, + -0.7088954529225053, + -0.8060381563684244, + -0.9051129199473882, + -1.004638089147643, + -1.1030382295136685, + -1.1986856426476782, + -1.2899439394731416, + -1.375212545558489, + -1.4529709823364996, + -1.5218217663695508, + -1.5805307965249829, + -1.6280641554227904, + -1.6636203354619519, + -1.6866570090936022, + -1.6969115951204665, + -1.6944150244191682, + -1.679498275867296, + -1.6527914322706214, + -1.6152151922880584, + -1.567964963114324, + -1.5124878452997526, + -1.4504530009029843, + -1.3837160646837543, + -1.314278411018771, + -1.2442422228094707, + -1.1757624194644374, + -1.1109965862573195, + -1.0520541047871776, + -1.0009457123902168, + -0.959534716379887, + -0.9294910568792145, + -0.912249350453167, + -0.908971957176688, + -0.9205179983071657, + -0.9474191131332244, + -0.9898625851846595, + -1.047682293644903, + -1.1203577597408299, + -1.2070213646239965, + -1.3064736195152866, + -1.417206175442601, + -1.5374320734898745, + -1.6651225616598002, + -1.798049645518103, + -1.933833400634483, + -2.069992958883934, + -2.2039999907756727, + -2.3333334443527027, + -2.4555342693789926, + -2.568258854300681, + -2.669329932880185, + -2.7567837767556926, + -2.828912578037564, + -2.8843010402841385, + -2.9218563340234094, + -2.9408307310477486, + -2.9408364061555314, + -2.9218520815956754, + -2.8842213836430495, + -2.8286429777655857, + -2.7561527439420193, + -2.6680984421080143, + -2.5661074948712908, + -2.452048676247185, + -2.3279886373143195, + -2.196144318947586, + -2.058832395289818, + -1.918416957147703, + -1.7772566805053103, + -1.6376527310309579, + -1.5017986307467548, + -1.3717332586201576, + -1.2492980741362465, + -1.1360995440258432, + -1.033477620005854, + -0.9424809629538888, + -0.863849440198799, + -0.7980042417646276, + -0.7450457729513819, + -0.7047592892425272, + -0.6766280499298618, + -0.6598535837197501, + -0.653382487438062, + -0.6559390220096879, + -0.6660626319906405, + -0.6821493994334819, + -0.7024963525631809, + -0.7253474867910074, + -0.7489403214739532, + -0.771551811290795, + -0.7915424561688696, + -0.8073975076357915, + -0.8177642508465265, + -0.821484448225197, + -0.8176211599115373, + -0.8054793047040593, + -0.7846194891601287, + -0.7548648077818552, + -0.7163004993439986, + -0.6692665288002191, + -0.6143433461810798, + -0.5523312488833017, + -0.4842239373381817, + -0.41117700212352526, + -0.33447220942797, + -0.2554785581569852, + -0.17561116322214393, + -0.09628907364964784, + -0.018893159736289838, + 0.055274800054938227, + 0.12503073432385137, + 0.18934355868876654, + 0.24736617044136955, + 0.2984613196567496, + 0.3422216518759311, + 0.37848336903846846, + 0.4073331212627676, + 0.4291079181498792, + 0.44438803006191413, + 0.45398303269236456, + 0.4589113275645548, + 0.4603736423135976, + 0.45972117337329077, + 0.45841917595763954, + 0.45800692836259, + 0.4600550964839451, + 0.4661215974996772, + 0.4777071069910913, + 0.4962113701630353, + 0.5228914647783897, + 0.5588231211938258, + 0.6048661344518985, + 0.6616348064370562, + 0.7294742349958685, + 0.808443124619745, + 0.8983036332929657, + 0.9985185963713056, + 1.1082562851798927, + 1.226402669951138, + 1.3515809684453943, + 1.4821780778043456, + 1.6163773124756255, + 1.7521967097963276, + 1.887532021088623, + 2.020203383531887, + 2.1480045697449355, + 2.268753640457911, + 2.3803437827354204, + 2.480793103085556, + 2.5682921618737478, + 2.641248082428961, + 2.698324144017621, + 2.738473870687564, + 2.760968755400422, + 2.765418907813935, + 2.7517860809483934, + 2.7203887127273183, + 2.671898808627391, + 2.6073306867709034, + 2.5280218019845107, + 2.4356060558593007, + 2.331980181017612, + 2.2192639551820226, + 2.0997551501460396, + 1.9758802486931166, + 1.8501420657535486, + 1.7250654860853303, + 1.603142577636906, + 1.4867783563319241 + ], + [ + 1.410089917886394, + 1.3088922022294973, + 1.2188289313300875, + 1.1415758306886286, + 1.0785139921938558, + 1.0307006525842546, + 0.9988473536356874, + 0.9833059784491442, + 0.9840629707055664, + 1.0007418490678068, + 1.0326139317830274, + 1.0786169917689115, + 1.1373813747895218, + 1.2072629372991677, + 1.286382000423341, + 1.3726673762279789, + 1.4639044052857797, + 1.5577858533923155, + 1.651964452285052, + 1.7441058358510169, + 1.8319406203196826, + 1.9133144043252948, + 1.986234521739435, + 2.0489124653449267, + 2.0998010105811993, + 2.137625202938224, + 2.1614065267448574, + 2.1704797432398224, + 2.164502067695658, + 2.143454544473179, + 2.1076356705329435, + 2.0576475073852247, + 1.9943747040500732, + 1.9189570248337995, + 1.8327561314086995, + 1.7373175050051965, + 1.6343285081749999, + 1.52557367381593, + 1.4128883698570283, + 1.2981120197690366, + 1.1830420611958905, + 1.0693897975430262, + 0.9587392410905604, + 0.85250996262309, + 0.7519248538610136, + 0.6579835779415197, + 0.5714423331846046, + 0.49280039021207916, + 0.42229368635954456, + 0.3598955786935414, + 0.30532467243485395, + 0.2580594598501921, + 0.21735933028756146, + 0.18229134938392674, + 0.15176205865472212, + 0.12455341936838851, + 0.09936192000551414, + 0.07483978731743565, + 0.04963718900994558, + 0.02244429267224809, + -0.0079679486828243, + -0.042709379370785575, + -0.08273562416468042, + -0.12881741458424772, + -0.1815150876129559, + -0.2411589512644874, + -0.30783605866158104, + -0.38138376549030345, + -0.4613902690781873, + -0.5472021453909446, + -0.637938717562414, + -0.7325129108005395, + -0.8296580781882459, + -0.9279601243535986, + -1.0258941132328645, + -1.1218644257895374, + -1.2142474366701332, + -1.3014356078756282, + -1.3818818544585325, + -1.4541430231762569, + -1.5169213403719455, + -1.5691027298074018, + -1.609790973701011, + -1.6383367890833191, + -1.654361014367339, + -1.6577712447293518, + -1.6487714159690074, + -1.6278640109829283, + -1.5958447465187804, + -1.5537897859157712, + -1.5030357113991084, + -1.4451526724903057, + -1.381911300642939, + -1.3152441399600212, + -1.247202485773057, + -1.1799096433765341, + -1.1155117152508296, + -1.0561270942076395, + -1.0037958802536415, + -0.9604304494970162, + -0.9277683837607696, + -0.9073289201055801, + -0.9003740013301683, + -0.9078749035463908, + -0.9304852876231693, + -0.9685213707672066, + -1.0219497463971605, + -1.0903831988498158, + -1.1730846687494394, + -1.268979329723965, + -1.3766745423290236, + -1.4944872613078797, + -1.6204782923181005, + -1.752492628407251, + -1.8882049488914296, + -2.0251692375104744, + -2.160871375898624, + -2.292783495006824, + -2.418418822959945, + -2.5353857540304836, + -2.641439880318953, + -2.7345327749565835, + -2.812856392052936, + -2.8748820523489393, + -2.9193931120852663, + -2.945510562829746, + -2.9527109782684797, + -2.940836406155532, + -2.910095995298289, + -2.8610593439621335, + -2.794641752625816, + -2.712081755827099, + -2.6149114902457806, + -2.504920624751655, + -2.384114728815133, + -2.2546690847981643, + -2.1188790541060323, + -1.979108184488178, + -1.8377352940999803, + -1.6971017861632718, + -1.559460435818018, + -1.4269268484164481, + -1.3014347171899197, + -1.1846959097429823, + -1.0781662896896715, + -0.9830180350370037, + -0.9001190522582244, + -0.8300199084377116, + -0.7729485177977365, + -0.7288126279486286, + -0.6972099600618749, + -0.6774456705686049, + -0.6685566245285219, + -0.6693418068549002, + -0.678398051133482, + -0.6941601404073827, + -0.7149442330553926, + -0.7389934922003504, + -0.7645247507150369, + -0.7897750269043389, + -0.8130467186596324, + -0.8327503458889343, + -0.8474437811797821, + -0.8558670051065661, + -0.8569715428527078, + -0.8499438797938453, + -0.8342223117820686, + -0.8095068570627271, + -0.7757620367036406, + -0.733212514568531, + -0.6823317715718289, + -0.6238241675781652, + -0.5586009133592168, + -0.48775063024173027, + -0.4125053125752257, + -0.33420262446764254, + -0.2542455544698833, + -0.1740605177324159, + -0.0950550329710379, + -0.018576110433994323, + 0.05412953324219568, + 0.12195236633239763, + 0.18395304882585803, + 0.2393906658124273, + 0.2877454231082221, + 0.328735185037202, + 0.36232539457300533, + 0.3887320882990789, + 0.4084178985002307, + 0.4220811175963877, + 0.43063808143157906, + 0.4351993030363167, + 0.4370399529400445, + 0.43756543173610674, + 0.4382729115773499, + 0.44070983225323146, + 0.4464304216651575, + 0.45695136769147393, + 0.4737077971076588, + 0.4980107166048116, + 0.5310070409684908, + 0.5736432748148569, + 0.62663382832693, + 0.6904348362719601, + 0.7652242159285304, + 0.850888546694377, + 0.9470171858555175, + 1.052903855440771, + 1.1675557487200074, + 1.2897100163660178, + 1.4178573062905953, + 1.550271852333919, + 1.6850474398139645, + 1.8201384246301122, + 1.9534048509793838, + 2.082660604120893, + 2.20572345178662, + 2.3204657729242397, + 2.424864746922268, + 2.517050781036108, + 2.5953529883907653, + 2.658340592920598, + 2.7048592294327745, + 2.7340612244711253, + 2.745429083996248, + 2.738791573701678, + 2.7143319531849905, + 2.672588111925476, + 2.614444548539572, + 2.541116330369387, + 2.4541253633293927, + 2.355269487370946, + 2.246585086381024, + 2.130304058554256, + 2.008806130404695, + 1.8845676112430478, + 1.7601077723347545, + 1.6379340939165155, + 1.520487652318715, + 1.4100899178863973 + ], + [ + 1.3383923856729054, + 1.245387178280643, + 1.1646435637149992, + 1.0976552371974846, + 1.0456022158483447, + 1.0093260154020114, + 0.9893125300150665, + 0.9856829993886064, + 0.9981932550650635, + 1.0262412409914115, + 1.0688826070544788, + 1.1248539830657445, + 1.1926033592485246, + 1.2703268320619512, + 1.3560108252333056, + 1.4474787687612993, + 1.5424411164559486, + 1.6385475077394074, + 1.733439833715512, + 1.8248049519757836, + 1.9104258095555202, + 1.9882297784453622, + 2.056333081923723, + 2.1130802908182473, + 2.157077994084301, + 2.187221894662865, + 2.202716745788437, + 2.2030887206715466, + 2.1881899953668897, + 2.1581955160272743, + 2.11359211290503, + 2.055160309681581, + 1.9839493534008739, + 1.9012461531174554, + 1.8085389603628355, + 1.7074767481530504, + 1.5998253445133226, + 1.4874214490012603, + 1.3721257047569835, + 1.2557760131973514, + 1.1401422633375047, + 1.0268836033427076, + 0.9175093094909856, + 0.8133442091631102, + 0.7154994923206192, + 0.6248496033177657, + 0.5420157454582952, + 0.4673563585046395, + 0.4009647487398035, + 0.342673866737633, + 0.29206804437069783, + 0.24850132440385475, + 0.21112184776929596, + 0.17890160952354636, + 0.15067075841511893, + 0.1251555003526324, + 0.1010185757235725, + 0.0769012167261156, + 0.05146545522294077, + 0.023435644979917285, + -0.008361915343799358, + -0.04496232102624671, + -0.08722934619737917, + -0.1358275555435612, + -0.19119999733233647, + -0.2535520866988223, + -0.32284212682413016, + -0.3987787426927688, + -0.48082532192392086, + -0.5682113742993946, + -0.6599505406976928, + -0.7548648077818547, + -0.851614321410006, + -0.9487320435012128, + -1.0446623677776798, + -1.1378027027283153, + -1.2265469480537277, + -1.3093297358898521, + -1.384670281719022, + -1.4512146928004208, + -1.507775614188414, + -1.5533681532239951, + -1.5872411113295573, + -1.6089026648762195, + -1.6181397720610446, + -1.6150307368019448, + -1.5999505298241516, + -1.5735686471816348, + -1.5368394729561035, + -1.4909853011610932, + -1.4374723572500585, + -1.3779803374483763, + -1.3143661499400425, + -1.2486226915699545, + -1.1828336233939403, + -1.1191252148306952, + -1.0596164066217124, + -1.0063682952048716, + -0.9613342640629614, + -0.926311980455194, + -0.9028984387566561, + -0.8924491652398427, + -0.8960426050800547, + -0.9144505928851285, + -0.9481156660046371, + -0.9971358186917456, + -1.0612571187777582, + -1.1398744211631016, + -1.2320402186938504, + -1.3364814756095802, + -1.4516240964934757, + -1.5756244992372748, + -1.7064075884733974, + -1.8417102704485757, + -1.9791295152399, + -2.1161738608711267, + -2.2503171690214923, + -2.3790533857316096, + -2.499951034202961, + -2.6107061711268695, + -2.7091925728836794, + -2.7935079825916707, + -2.8620153417991334, + -2.913378049352206, + -2.9465884317512345, + -2.960988770681061, + -2.956284410438261, + -2.9325486563706775, + -2.890219370605202, + -2.830087368518332, + -2.753276913803823, + -2.6612187968871788, + -2.5556166562897897, + -2.4384073611172608, + -2.311716411301252, + -2.1778094272233703, + -2.0390408891341507, + -1.8978013472371213, + -1.7564643540224762, + -1.617334370724577, + -1.4825968697080203, + -1.3542717949693934, + -1.234171455313198, + -1.1238638113426003, + -1.0246419810521805, + -0.9375006329328053, + -0.8631197639844285, + -0.8018561771455313, + -0.7537427829229105, + -0.7184956581379726, + -0.6955286054323473, + -0.6839747751593721, + -0.6827147410013156, + -0.6904102662671014, + -0.7055428631102297, + -0.7264561351336454, + -0.751400807712729, + -0.778581291921696, + -0.8062025985520502, + -0.8325164189981935, + -0.8558652196484734, + -0.8747232550167855, + -0.8877334906230022, + -0.8937395373477683, + -0.89181183179817, + -0.8812674487290304, + -0.8616830979126814, + -0.8329010348165173, + -0.7950277975531144, + -0.748425867186346, + -0.6936985299532813, + -0.6316683937255788, + -0.5633501727165281, + -0.4899184999805172, + -0.41267165300136993, + -0.3329921804768723, + -0.25230549571144995, + -0.17203755190401354, + -0.09357273583155695, + -0.0182131084721572, + 0.05285991579089002, + 0.11862042463470883, + 0.17822846240710416, + 0.23105526358925943, + 0.2767025811338493, + 0.31501557964022747, + 0.34608893098774673, + 0.37026592717820694, + 0.38813060724887644, + 0.40049307759004127, + 0.40836838320547636, + 0.4129494568641318, + 0.41557482939777945, + 0.4176919236189642, + 0.4208168729085705, + 0.4264919004099713, + 0.43624136351596215, + 0.4515276091481234, + 0.4737077971076586, + 0.503992831151387, + 0.5434094907830925, + 0.592766782144825, + 0.6526274256435869, + 0.7232852735131791, + 0.8047493054442781, + 0.8967346882958004, + 0.9986612107391085, + 1.1096592198302626, + 1.2285829985274095, + 1.354031335756432, + 1.4843748584612977, + 1.6177895227181873, + 1.7522955027736156, + 1.885800576772663, + 2.016146989520095, + 2.141160678879298, + 2.2587016857705846, + 2.366714529924457, + 2.463277325608237, + 2.5466484337696844, + 2.6153094989778833, + 2.668003800001057, + 2.703768949948803, + 2.721963113065336, + 2.722284057335247, + 2.704780531376074, + 2.669855636533452, + 2.6182620562243852, + 2.5510891997311447, + 2.4697425120635708, + 2.375915390424795, + 2.271554326604483, + 2.158818058899161, + 2.0400316628845037, + 1.917636633954848, + 1.7941381129550686, + 1.672050477027046, + 1.5538425592219545, + 1.4418837714515342, + 1.3383923856729085 + ], + [ + 1.272292353257484, + 1.1882606732775454, + 1.1175023056260776, + 1.0613162900278785, + 1.0206716055461333, + 0.9961869555540986, + 0.9881185119884569, + 0.9963558897034507, + 1.0204264261557594, + 1.0595076444654508, + 1.1124475839142318, + 1.177792495873296, + 1.2538212295166646, + 1.3385854746810697, + 1.4299548926773915, + 1.5256660530338968, + 1.6233740077648242, + 1.7207052768644573, + 1.8153109906800358, + 1.904918937235685, + 1.9873832953340385, + 2.060730896477443, + 2.1232029487291704, + 2.17329127129715, + 2.209768226963455, + 2.231709697044476, + 2.2385106164251183, + 2.2298927700721753, + 2.2059047427415055, + 2.1669141056456382, + 2.11359211290503, + 2.046891362013845, + 1.9680170418560652, + 1.8783925448655814, + 1.779620353002373, + 1.6734392170872372, + 1.56167873305434, + 1.44621247484647, + 1.328910870691145, + 1.2115950067834103, + 1.0959925101307204, + 0.9836966013901651, + 0.8761293205637943, + 0.7745098157001076, + 0.6798284501784134, + 0.5928273311664822, + 0.5139876943336318, + 0.44352440211908145, + 0.3813876292967765, + 0.32727162487697936, + 0.28063025819679766, + 0.24069888393574226, + 0.20652190009827973, + 0.1769852287650984, + 0.15085282524156524, + 0.12680622023032245, + 0.1034860243436419, + 0.07953427652002053, + 0.05363649889337801, + 0.024562330832865107, + -0.008796346057671838, + -0.04739081323110045, + -0.09198537889414322, + -0.14313251128721566, + -0.20115391495626572, + -0.2661280683256705, + -0.33788457238277936, + -0.41600548266082565, + -0.4998336144619332, + -0.5884876290186807, + -0.6808835306766229, + -0.7757620367036403, + -0.8717211262807353, + -0.9672529375548417, + -1.0607840648559081, + -1.1507182152949473, + -1.2354801173665642, + -1.3135595356206797, + -1.3835542359835562, + -1.4442107662090553, + -1.494461964800957, + -1.5334601884126353, + -1.5606053503480215, + -1.5755669888505373, + -1.5782997302749286, + -1.5690516753756119, + -1.5483654127730893, + -1.5170715478101067, + -1.4762748228971219, + -1.427333092384402, + -1.3718295963110312, + -1.3115391485242462, + -1.2483890113337706, + -1.1844153671134834, + -1.1217164135843907, + -1.0624032009427185, + -1.0085493931810041, + -0.9621411712046918, + -0.925028500702211, + -0.8988789629516273, + -0.8851352923560598, + -0.884977681741333, + -0.8992918072750814, + -0.9286433918855628, + -0.9732599724726246, + -1.0330203657292143, + -1.107452144169324, + -1.1957372424489565, + -1.2967256189438428, + -1.4089567035815809, + -1.5306881748653518, + -1.6599314314828841, + -1.7944929612268414, + -1.93202066616066, + -2.07005408158837, + -2.2060773304227483, + -2.3375735863680354, + -2.4620797806369277, + -2.57724027868089, + -2.680858275856639, + -2.7709437135573216, + -2.8457565988422666, + -2.903844719034754, + -2.94407487549308, + -2.965656914571646, + -2.9681600049349637, + -2.951520794703938, + -2.916043274914398, + -2.862390372755593, + -2.7915674942388793, + -2.704898426553844, + -2.603994190770641, + -2.4907156013665284, + -2.367130436276051, + -2.2354662462323214, + -2.0980599320724127, + -1.9573052910347863, + -1.8155997761715545, + -1.6752917258437663, + -1.5386293026190048, + -1.4077123332514159, + -1.284448165034539, + -1.1705125506224423, + -1.067316446014406, + -0.9759794579844693, + -0.8973105115119195, + -0.831796128853666, + -0.7795965242332236, + -0.740549526347884, + -0.7141821497524944, + -0.6997294503749324, + -0.6961601245228723, + -0.7022081490661505, + -0.716409616974452, + -0.7371438005474401, + -0.7626773774399398, + -0.7912106842871021, + -0.8209248210278917, + -0.8500284168499047, + -0.8768028862377027, + -0.89964505036336, + -0.9171060737482439, + -0.9279257667922602, + -0.9310614288098558, + -0.9257105504516945, + -0.9113268551498243, + -0.8876293324190849, + -0.8546040970917166, + -0.8124990932756334, + -0.7618118453501764, + -0.7032706360251524, + -0.6378096589205607, + -0.5665388460720086, + -0.49070920539558005, + -0.41167461608668293, + -0.33085111835955316, + -0.2496747956566682, + -0.16955938094324755, + -0.0918547231357521, + -0.017807225011635872, + 0.051476689239167754, + 0.11506309896526827, + 0.17221823202401249, + 0.22243048504648646, + 0.26542622117367737, + 0.30117890975485806, + 0.32991134611170764, + 0.35209086997926753, + 0.36841768405990694, + 0.37980655463002805, + 0.3873623497382027, + 0.392350032814787, + 0.39615987634504907, + 0.40026878789339926, + 0.40619874593738686, + 0.4154734229698909, + 0.4295741260789024, + 0.4498962093211811, + 0.4777071069910909, + 0.5141071024067599, + 0.5599938838845906, + 0.6160318496582329, + 0.6826270088063326, + 0.7599081885966597, + 0.8477151034005014, + 0.9455936703204512, + 1.0527987761240352, + 1.1683045134749503, + 1.2908217164535827, + 1.418822440654609, + 1.550570856366602, + 1.6841598589136064, + 1.8175525523118456, + 1.9486276347043914, + 2.0752276098275595, + 2.195208670703057, + 2.306491051864402, + 2.4071086260465413, + 2.495256530995755, + 2.569335651751069, + 2.6279928525251113, + 2.670155948565787, + 2.6950625298234985, + 2.702281891967147, + 2.691729492816215, + 2.6636735296453713, + 2.6187334207584123, + 2.5578701686380976, + 2.482368777121651, + 2.3938130866533416, + 2.2940535750319087, + 2.1851688417015387, + 2.0694216473395515, + 1.9492105134888567, + 1.8270179959911317, + 1.7053568283045093, + 1.5867151843951068, + 1.4735023344370166, + 1.3679959594361621, + 1.272292353257487 + ], + [ + 1.2123490568249704, + 1.1379960033025693, + 1.077803993438417, + 1.0328664331164263, + 1.0039330855316084, + 0.9913946354323221, + 0.9952754014886634, + 1.0152343519120761, + 1.0505743812896016, + 1.1002596106633153, + 1.1629402829446758, + 1.236984646418264, + 1.320517054710071, + 1.411461366152577, + 1.5075886024849487, + 1.6065677292406755, + 1.7060183503293826, + 1.8035640688638526, + 1.8968852561435827, + 1.9837699910634297, + 2.0621619825018915, + 2.1302043661558554, + 2.1862783728236432, + 2.229035994641002, + 2.2574259260059018, + 2.270712223143948, + 2.2684853063124035, + 2.250665117054808, + 2.217496435040702, + 2.169536550114892, + 2.1076356705329435, + 2.0329106234210275, + 1.9467125639807696, + 1.8505895519453648, + 1.7462449738314005, + 1.6354928847227317, + 1.5202114113925336, + 1.4022953979201822, + 1.2836094847106447, + 1.1659427918336092, + 1.0509663284656585, + 0.9401941732642605, + 0.834949367739969, + 0.7363353387755424, + 0.6452135205922503, + 0.5621876844003125, + 0.4875953098059665, + 0.4215061501905103, + 0.3637279593196997, + 0.3138191630473155, + 0.2711080827598422, + 0.2347181506228593, + 0.20359840491330958, + 0.17655842055697155, + 0.15230671876632304, + 0.12949161316433416, + 0.10674339013386319, + 0.08271668982182079, + 0.05613195200939686, + 0.02581481795894445, + -0.009267565344020238, + -0.04997430984238847, + -0.09696348406622861, + -0.15067047858408955, + -0.2112926258374459, + -0.27878049764977186, + -0.35283612944131787, + -0.4329182393791552, + -0.5182543279360023, + -0.6078593632587678, + -0.7005605849316964, + -0.7950277975531138, + -0.8898083801327945, + -0.9833661113699911, + -1.0741228076151164, + -1.1605016924087839, + -1.2409713659539507, + -1.3140892210483823, + -1.3785431595040738, + -1.4331904997904366, + -1.4770930317078876, + -1.5095472657640834, + -1.530109041347126, + -1.5386117959100158, + -1.535177953790327, + -1.5202230641157826, + -1.4944524982486038, + -1.4588507038942562, + -1.4146632006871507, + -1.3633716860749023, + -1.3066627960432586, + -1.2463912282411957, + -1.1845380812717257, + -1.1231653896096554, + -1.06436793559525, + -1.0102234956171008, + -0.9627427249704997, + -0.9238199036891438, + -0.8951857533579675, + -0.8783634927279783, + -0.8746292288154457, + -0.8849776817413327, + -0.9100941181943971, + -0.9503332230458346, + -1.0057054748164844, + -1.0758714123737332, + -1.1601439917535576, + -1.2574990379610869, + -1.3665936017428242, + -1.4857918404159094, + -1.6131978595647218, + -1.7466947832485886, + -1.8839891684658527, + -2.0226597487298603, + -2.160209384961697, + -2.2941190221311474, + -2.4219023991635225, + -2.5411602388520063, + -2.649632654411666, + -2.7452485496695873, + -2.8261708597470694, + -2.8908365767721245, + -2.937990628300375, + -2.9667128217319365, + -2.9764372325532538, + -2.966963593704645, + -2.9384604334101856, + -2.8914599047825837, + -2.8268444476640346, + -2.7458256166906216, + -2.649915594769529, + -2.5408920835396622, + -2.4207574177687095, + -2.291692885265357, + -2.1560093445084183, + -2.016095316161326, + -1.8743637799536383, + -1.7331989337793279, + -1.5949041667292758, + -1.4616524623371774, + -1.3354403835122668, + -1.2180466981166869, + -1.1109965862573197, + -1.0155322300570504, + -0.9325904274517334, + -0.8627876973878045, + -0.8064131589932497, + -0.7634292764370348, + -0.7334803689932988, + -0.7159085970250201, + -0.7097769538405115, + -0.7138986250895566, + -0.7268719256699303, + -0.7471198927051277, + -0.7729335052148073, + -0.8025174192260558, + -0.8340370532085177, + -0.8656658341020331, + -0.8956314193543915, + -0.9222597450701655, + -0.9440158136258444, + -0.9595402242583969, + -0.967680564843952, + -0.9675169194027108, + -0.9583809003141268, + -0.9398677828758705, + -0.91184149841655, + -0.8744324261607289, + -0.8280281088035337, + -0.773257197627532, + -0.7109671054386467, + -0.6421960052806073, + -0.5681399558061796, + -0.49011605676130904, + -0.40952263721462717, + -0.32779755247003955, + -0.24637571121840676, + -0.16664697129783118, + -0.08991553004843948, + -0.017361894010170707, + 0.0499915563095736, + 0.11131048590894761, + 0.1659732069452842, + 0.213589299713337, + 0.25401174633558055, + 0.28734223986948876, + 0.31392950963338, + 0.33436068591047097, + 0.34944590918370033, + 0.36019656606134826, + 0.3677977015782298, + 0.3735753113370854, + 0.3789593530700459, + 0.38544343217170896, + 0.3945422066327532, + 0.40774762123805125, + 0.42648511719965526, + 0.4520709705913999, + 0.4856718907866335, + 0.5282679590593498, + 0.580619908802823, + 0.643241644356354, + 0.7163787677666448, + 0.799993735088738, + 0.8937580997042457, + 0.9970521236714595, + 1.1089718537096138, + 1.2283435706533017, + 1.3537453347815305, + 1.4835351689948004, + 1.615885251910199, + 1.7488213378430426, + 1.880266484260409, + 2.0080880530856264, + 2.1301468631196943, + 2.2443473091243464, + 2.348687230405982, + 2.4413063089587617, + 2.5205318045364873, + 2.584920490850055, + 2.6332957421221557, + 2.6647788304640714, + 2.6788136293108207, + 2.675184073212904, + 2.6540238958810813, + 2.615818352345341, + 2.5613978229383956, + 2.491923391863234, + 2.408864686582712, + 2.313970451436128, + 2.2092325051518493, + 2.0968438929542694, + 1.9791521857963281, + 1.858608998388242, + 1.737716891196121, + 1.6189748871335035, + 1.5048238696292637, + 1.3975931342177486, + 1.2994493405968646, + 1.2123490568249728 + ], + [ + 1.1590696437878338, + 1.0950184302087247, + 1.0458844928368154, + 1.0125463651263056, + 0.9955282712583591, + 0.9949896002334618, + 1.010722647991985, + 1.042158665681596, + 1.0883820551240533, + 1.1481523595104968, + 1.2199335130638074, + 1.3019296423222853, + 1.3921265579674027, + 1.4883379434579087, + 1.5882551383413541, + 1.6894993325925007, + 1.789674935614536, + 1.8864228608632496, + 1.9774724749075572, + 2.0606909978631287, + 2.134129209527897, + 2.196062410490016, + 2.2450257075773488, + 2.2798428352655424, + 2.2996478855123876, + 2.303899493941635, + 2.292387216010145, + 2.2652300181643783, + 2.2228670013023266, + 2.166040662368157, + 2.0957731799865598, + 2.013336377277979, + 1.9202161652981988, + 1.8180724002579076, + 1.7086951936602357, + 1.593958794202249, + 1.4757742118333395, + 1.356041776565896, + 1.2366048170399881, + 1.119205606744284, + 1.0054446602137848, + 0.8967443691920087, + 0.7943178520545402, + 0.6991437517383442, + 0.6119475615298628, + 0.5331898882954965, + 0.46306188339109333, + 0.4014878870936134, + 0.34813514760766995, + 0.3024302951630288, + 0.26358207997286104, + 0.2306097241753456, + 0.20237609630654707, + 0.17762479588973953, + 0.15502013839227866, + 0.13318895951529172, + 0.11076311430567651, + 0.0864215319749249, + 0.05893070190843055, + 0.027182509750311785, + -0.009771586474452894, + -0.05269095330973373, + -0.1021215446912612, + -0.15837768281988224, + -0.22153035189400383, + -0.2914023293937558, + -0.3675703010613746, + -0.44937392327281167, + -0.5359316147746698, + -0.6261626833821751, + -0.7188152266799468, + -0.8124990932756329, + -0.9057230566140194, + -0.9969352402048914, + -1.0845657442557122, + -1.1670703614263682, + -1.24297423536802, + -1.3109143107945556, + -1.369679448255129, + -1.418247129985193, + -1.455815763942704, + -1.4818316994246674, + -1.4960101969007564, + -1.4983497437093456, + -1.4891392723491232, + -1.4689580151689134, + -1.4386679139034446, + -1.3993986901188438, + -1.3525258685296635, + -1.299642224672838, + -1.2425232970653195, + -1.1830877574845846, + -1.1233535675151092, + -1.0653909615840835, + -1.011273383500788, + -0.9630275627724808, + -0.9225839471310144, + -0.8917287079219803, + -0.8720585051767593, + -0.8649391399456953, + -0.8714691341864146, + -0.892449165239842, + -0.9283581453995239, + -0.9793365805795672, + -1.0451776694046298, + -1.1253264193803696, + -1.2188868646565638, + -1.3246372749619295, + -1.4410530523406917, + -1.5663368260866541, + -1.698455081322971, + -1.835180497317589, + -1.9741390317796939, + -2.112860670502988, + -2.2488326706976016, + -2.3795540634451515, + -2.502590147492481, + -2.6156257039160304, + -2.7165156891386846, + -2.803332221712326, + -2.8744067648055887, + -2.9283665193690336, + -2.964164179752409, + -2.9811003607998083, + -2.9788381793277843, + -2.9574096591704953, + -2.917213823123429, + -2.8590065324106515, + -2.7838823299415165, + -2.693248732856052, + -2.5887935980877894, + -2.4724463475754446, + -2.3463339833860095, + -2.2127329439026115, + -2.0740179474727847, + -1.9326090372301301, + -1.7909180786059153, + -1.6512959684738862, + -1.5159817918048983, + -1.387055108780297, + -1.2663924738887966, + -1.1556291806729684, + -1.05612709420764, + -0.9689492813701579, + -0.8948419802860403, + -0.834224269189702, + -0.7871856058141237, + -0.7534912159890833, + -0.7325951191292049, + -0.7236603934303975, + -0.7255861094032191, + -0.7370402011178677, + -0.7564974041021009, + -0.7822812706298882, + -0.812609180015819, + -0.8456391957106585, + -0.8795175840167483, + -0.9124258019279741, + -0.942625784028729, + -0.9685024099003955, + -0.988602112700727, + -1.001666694432257, + -1.0066615411973092, + -1.0027975791796204, + -0.9895464754421293, + -0.9666487627436894, + -0.9341147500246081, + -0.8922182653872092, + -0.8414834616384896, + -0.7826650911590654, + -0.7167228225798339, + -0.6447903223306679, + -0.5681399558061797, + -0.48814407238355295, + -0.4062339231002419, + -0.32385731735751094, + -0.24243615414386607, + -0.16332496327124502, + -0.08777156302063265, + -0.01688088316954868, + 0.04841708189872224, + 0.10739433427028015, + 0.15954622290899148, + 0.20460650801841157, + 0.2425557282417978, + 0.2736226344725142, + 0.2982786351212339, + 0.317225380352039, + 0.33137579242053544, + 0.3418290212609138, + 0.3498399645020951, + 0.3567841350703868, + 0.36411878378300216, + 0.37334128567184893, + 0.3859458745918308, + 0.4033798589930687, + 0.4270004712911317, + 0.45803349349434286, + 0.49753476281927017, + 0.546355593854015, + 0.605113060033599, + 0.6741659590634694, + 0.7535971473708737, + 0.8432027711271739, + 0.9424887497720873, + 1.0506746865482597, + 1.1667051938408624, + 1.2892684337736047, + 1.4168214912269368, + 1.547622021812405, + 1.6797654557506883, + 1.8112268941351, + 1.9399067103766425, + 2.063678769870717, + 2.180440107662404, + 2.288160859026634, + 2.3849332226308753, + 2.4690182507890555, + 2.538889305979088, + 2.593271096275646, + 2.6311733029234414, + 2.6519179385482237, + 2.655159721461818, + 2.6408989166111687, + 2.6094862729418904, + 2.5616198759306554, + 2.4983339281756125, + 2.420979665472567, + 2.331198805981262, + 2.2308901112350714, + 2.122169805417776, + 2.007326749396565, + 1.888773394761537, + 1.7689936473980634, + 1.6504888473255919, + 1.5357231197526318, + 1.4270693703086779, + 1.3267571847473107, + 1.2368238503467166, + 1.1590696437878325 + ], + [ + 1.1129048820895788, + 1.0596915637119604, + 1.0220138572401023, + 1.0005280030276498, + 0.9955282712583589, + 1.0069414349285597, + 1.0343295608030443, + 1.0769010391341294, + 1.133529577630307, + 1.2027806966800314, + 1.2829450857550864, + 1.3720780195320643, + 1.4680438904874324, + 1.5685647959660125, + 1.6712720248512345, + 1.7737592241980362, + 1.8736359910537355, + 1.9685806299882997, + 2.0563908426350803, + 2.135031171110101, + 2.202676101105874, + 2.2577478406237543, + 2.298947923954796, + 2.3252819443087276, + 2.336076888599832, + 2.330990730109178, + 2.310014124546562, + 2.2734642477468054, + 2.221971004105598, + 2.1564560191976776, + 2.0781050033037385, + 1.9883342305645184, + 1.8887520173309635, + 1.7811161996206653, + 1.6672887006205956, + 1.5491883427259827, + 1.4287430931930902, + 1.3078429373502731, + 1.1882945484375258, + 1.07177886925011, + 0.9598126392872997, + 0.8537147941771245, + 0.7545785345161773, + 0.663249712244233, + 0.5803120180579371, + 0.5060792773287335, + 0.440594978977985, + 0.38363897639255884, + 0.3347411164035997, + 0.2932013761999418, + 0.25811592322498766, + 0.22840836374003126, + 0.2028653155619064, + 0.18017533274554673, + 0.15897012736156005, + 0.1378669780599976, + 0.11551118817364214, + 0.0906174583382572, + 0.06200906989988433, + 0.02865383491552456, + -0.010304145202134178, + -0.05551775960010729, + -0.10741592124230416, + -0.16618891755920923, + -0.23178047733087656, + -0.30388677714962337, + -0.3819624294837543, + -0.4652333118097718, + -0.5527159171322167, + -0.6432427350183116, + -0.7354930133918645, + -0.8280281088035332, + -0.9193305103599055, + -1.0078455230894978, + -1.0920245228082328, + -1.1703686484354545, + -1.24147178042722, + -1.3040616660366107, + -1.3570380932447632, + -1.3995070844638295, + -1.4308101768187746, + -1.4505479756270547, + -1.4585973086628317, + -1.4551214674289326, + -1.4405731940290536, + -1.4156902540467944, + -1.3814836225639837, + -1.3392184974227523, + -1.2903885363721768, + -1.2366838882595812, + -1.1799537485620215, + -1.1221643122621672, + -1.0653531187366105, + -1.0115808808410913, + -0.9628819612372839, + -0.9212147013571313, + -0.888412821095124, + -0.8661390899408233, + -0.8558424231434006, + -0.858719480703905, + -0.8756817442994879, + -0.9073289201055789, + -0.953929366955739, + -1.015408082957857, + -1.0913426036094738, + -1.180966975011202, + -1.28318377159213, + -1.3965839335860581, + -1.5194740100921023, + -1.649910213568013, + -1.785738525464692, + -1.9246399445086122, + -2.064179842531451, + -2.2018602908654605, + -2.3351741456962642, + -2.4616596352554465, + -2.578954176492426, + -2.684846164298552, + -2.7773235221232326, + -2.8546178778362123, + -2.9152433311490897, + -2.9580289063361316, + -2.982143933301906, + -2.9871157676057445, + -2.9728394417990835, + -2.939579031941879, + -2.8879607197808945, + -2.818957728014187, + -2.7338674985445506, + -2.634281666963723, + -2.522049556258571, + -2.3992360647762956, + -2.2680749541502943, + -2.130918649021525, + -1.990185739445872, + -1.8483074269765547, + -1.70767417538463, + -1.570583816403228, + -1.4391923200752765, + -1.3154683693151417, + -1.2011527809409552, + -1.0977236931452068, + -1.006368295204872, + -0.9279617127786441, + -0.8630534854317788, + -0.8118618864452661, + -0.7742761431167503, + -0.7498664233777829, + -0.7379012663700325, + -0.737371955263309, + -0.7470231644532699, + -0.7653890644029238, + -0.7908339394094442, + -0.8215962695807852, + -0.8558351507882114, + -0.8916778771518614, + -0.9272674908409806, + -0.9608091140187803, + -0.9906139172825795, + -1.015139646858885, + -1.033026727322304, + -1.0431290752697073, + -1.0445388991532891, + -1.0366049177941912, + -1.0189436009675352, + -0.9914432155450678, + -0.9542606454558938, + -0.9078111385231171, + -0.852751313406901, + -0.7899559309083793, + -0.7204890914772077, + -0.6455706609745574, + -0.5665388460720088, + -0.4848099361424808, + -0.4018362977530949, + -0.3190637491939961, + -0.23788945486856672, + -0.15962146255461984, + -0.08544096098354294, + -0.01636826205914134, + 0.04676658677258728, + 0.10334777646420779, + 0.15299165510832474, + 0.1955581084442088, + 0.23115508998930986, + 0.26013616763378505, + 0.2830911360557436, + 0.3008299257428102, + 0.31436021513504964, + 0.3248593179691453, + 0.3336410690914316, + 0.3421185649640014, + 0.35176372641552023, + 0.3640647380294915, + 0.38048247867357055, + 0.40240708947997106, + 0.4311158282245175, + 0.4677333323881789, + 0.5131953578235939, + 0.5682169772156446, + 0.6332661144342286, + 0.7085431600837454, + 0.7939672632860587, + 0.889169728714771, + 0.9934947702535819, + 1.106007687804428, + 1.2255103463356363, + 1.3505636509250465, + 1.4795165329639866, + 1.6105407953329538, + 1.7416710124574575, + 1.8708485485447115, + 1.995968647360094, + 2.1149294624405752, + 2.225681839848897, + 2.3262786379518885, + 2.4149223710433607, + 2.490009995969736, + 2.5501737225544883, + 2.5943168181272487, + 2.6216434917250044, + 2.631682081783474, + 2.624300929040409, + 2.599716490101004, + 2.558493432442219, + 2.5015366440368743, + 2.4300752855564944, + 2.3456392054937627, + 2.2500282238114124, + 2.145274963322555, + 2.0336020656657587, + 1.917374766569908, + 1.7990499197042156, + 1.6811226469391063, + 1.5660718531018294, + 1.4563058737857912, + 1.3541095246819141, + 1.2615937902118557, + 1.1806493286716016, + 1.1129048820895777 + ], + [ + 1.0742453465039652, + 1.032314285088428, + 1.0063940430270113, + 0.9969130276021828, + 1.0039330855316082, + 1.0271490215878287, + 1.0658964147572103, + 1.1191675360691637, + 1.1856349803384731, + 1.2636824417198604, + 1.3514418946004834, + 1.4468362910339048, + 1.5476267572840563, + 1.651463168201605, + 1.7559369015891488, + 1.8586345272462637, + 1.957191168125154, + 2.0493422843353915, + 2.1329726742242108, + 2.206161559299366, + 2.267222719515251, + 2.314738769905162, + 2.347588815605352, + 2.364968886346621, + 2.3664047294178046, + 2.351756727529674, + 2.3212169002991696, + 2.275298140493791, + 2.214816023992244, + 2.1408637110217765, + 2.0547806212541584, + 1.9581157127554414, + 1.852586321008557, + 1.7400336162138996, + 1.622375812380248, + 1.5015603085722826, + 1.3795159600173064, + 1.2581066642633005, + 1.139087405636279, + 1.0240638310111314, + 0.9144563332319667, + 0.8114694978953376, + 0.7160676277335011, + 0.6289569001095672, + 0.5505745411894921, + 0.48108521953649386, + 0.4203846767443662, + 0.36811042794860144, + 0.32365918527234333, + 0.2862104869886157, + 0.254755858675773, + 0.22813269382232607, + 0.20506192366311288, + 0.18418845242846188, + 0.16412326698009674, + 0.14348609064473608, + 0.12094744088430923, + 0.09526896947610568, + 0.06534101159757315, + 0.030216345377902843, + -0.010860735839242339, + -0.05843081265314816, + -0.11280182089800295, + -0.17403809622155178, + -0.24195628144863368, + -0.31612821684008324, + -0.39589075078949165, + -0.4803622273865581, + -0.568465232215715, + -0.6589550132015243, + -0.7504528434450819, + -0.8414834616384891, + -0.9305156161543199, + -1.0160046540936474, + -1.0964360386309884, + -1.1703686484354547, + -1.2364767125802187, + -1.2935892632500567, + -1.3407260460566424, + -1.3771289124914239, + -1.4022878289183243, + -1.4159607688306206, + -1.4181869065973693, + -1.4092926978471267, + -1.3898906098291057, + -1.3608704501124556, + -1.3233834292111406, + -1.278819277468039, + -1.2287769141622056, + -1.1750293328501602, + -1.1194835172267465, + -1.0641363324886959, + -1.0110274449783982, + -0.9621904050131035, + -0.9196030821344542, + -0.8851386670991597, + -0.8605184500517031, + -0.8472675494932276, + -0.8466747026497538, + -0.8597571361342212, + -0.8872314185668807, + -0.9294910568792131, + -0.986591438757567, + -1.058242548948042, + -1.1438097011977721, + -1.2423223349879544, + -1.352490731632899, + -1.4727303125452784, + -1.6011929982085906, + -1.7358049341845072, + -1.8743097345562367, + -2.0143162574175646, + -2.153349814718233, + -2.2889056327562236, + -2.4185033220092333, + -2.5397410872713233, + -2.6503484119229, + -2.7482359835821186, + -2.8315416915824048, + -2.8986716181834136, + -2.9483350629475478, + -2.9795727804572936, + -2.9917777720979046, + -2.984708149086164, + -2.958491772001104, + -2.913622567193601, + -2.850948617874041, + -2.7716523226006746, + -2.677223101578725, + -2.569423307073985, + -2.450248154077772, + -2.321880627262725, + -2.1866424368615123, + -2.0469421865781805, + -1.9052219788420948, + -1.7639037151702588, + -1.6253363513793304, + -1.491745338896536, + -1.365185425218875, + -1.2474979001509563, + -1.140273261992379, + -1.0448201421604182, + -0.9621411712046922, + -0.89291629765988, + -0.8374938879398739, + -0.7958897450316091, + -0.7677939907971479, + -0.7525855659888623, + -0.7493539183090655, + -0.7569272765060964, + -0.7739067518045623, + -0.798705370733326, + -0.8295910289658007, + -0.8647322668764545, + -0.9022457062592751, + -0.9402439554719312, + -0.9768827878624028, + -1.010406425660465, + -1.0391898177937375, + -1.0617768838173742, + -1.0769138051485088, + -1.0835765762669225, + -1.0809921791238841, + -1.0686529098637485, + -1.0463235639060486, + -1.014041368989688, + -0.9721087413189365, + -0.9210791228058676, + -0.8617363329840458, + -0.7950680330720522, + -0.7222340477916406, + -0.6445304191942413, + -0.5633501727165284, + -0.48014185633940587, + -0.3963669670735711, + -0.31345740373527264, + -0.23277408052578255, + -0.1555678024398714, + -0.08294344188501365, + -0.01582836768550643, + 0.04505403486679338, + 0.09920504820085821, + 0.1463649581528534, + 0.18652065454557396, + 0.21990628613658045, + 0.24699694096545283, + 0.2684955055514249, + 0.2853130350478064, + 0.29854313681071476, + 0.30943102755476937, + 0.3193380653314973, + 0.32970267837727524, + 0.3419987103436564, + 0.35769227303537693, + 0.3781982416796556, + 0.40483754276902223, + 0.43879637021793577, + 0.48108842224663884, + 0.5325211800793686, + 0.5936671519486104, + 0.6648408844250802, + 0.7460824007406893, + 0.8371475660638716, + 0.9375057065900521, + 1.0463446271349686, + 1.1625829852108684, + 1.284889792994195, + 1.4117106368341241, + 1.541300031569755, + 1.6717591682613937, + 1.8010781730081833, + 1.927181874896466, + 2.0479779858555665, + 2.1614065267448566, + 2.2654892941527622, + 2.3583781522419116, + 2.438400953877624, + 2.5041039448377056, + 2.554289582992204, + 2.5880488091248046, + 2.604786935041871, + 2.60424246467488, + 2.586498331394241, + 2.551985215645946, + 2.501476796887215, + 2.436076987993791, + 2.3571993940849865, + 2.26653942631019, + 2.166039679928423, + 2.057849350591217, + 1.9442786090514594, + 1.8277489789527404, + 1.7107408618236775, + 1.5957394254373356, + 1.4851801144950922, + 1.3813950550705745, + 1.2865616060576814, + 1.2026542624159253, + 1.1314010374441468, + 1.0742453465039643 + ], + [ + 1.0434181141956866, + 1.0131182185036423, + 0.9991572008938314, + 1.0017320231778002, + 1.0206716055461331, + 1.055441394884094, + 1.105156139985866, + 1.168600562796822, + 1.2442574279636767, + 1.3303423383085928, + 1.424844425602007, + 1.525571968022397, + 1.630201851292517, + 1.736331702423632, + 1.8415334653866002, + 1.9434071582668826, + 2.0396335522216194, + 2.128024543763683, + 2.2065700527260295, + 2.273480367159975, + 2.3272229711566053, + 2.3665530292838297, + 2.3905368585753988, + 2.3985678918910365, + 2.39037482070948, + 2.3660217964682255, + 2.325900762715787, + 2.2707161808428498, + 2.201462595331688, + 2.1193956558232214, + 2.025997368664362, + 1.922936486185448, + 1.8120250544870298, + 1.6951722272833138, + 1.57433651229702, + 1.45147764646202, + 1.3285092961281875, + 1.2072537486812138, + 1.0893997033308327, + 0.9764641828421502, + 0.8697594769209762, + 0.7703658946694066, + 0.6791109514042771, + 0.59655544804268, + 0.5229867234351969, + 0.4584191759576397, + 0.4026019649923994, + 0.3550336203083255, + 0.3149831123659023, + 0.28151677361519173, + 0.25353031399175, + 0.2297850467144758, + 0.20894733631165385, + 0.18963020213001025, + 0.1704359593548936, + 0.14999875703436286, + 0.12702587927981315, + 0.10033671149941129, + 0.06889833726701373, + 0.03185682159189086, + -0.011436649377127303, + -0.06140546672185608, + -0.11823367651012298, + -0.18185881120363256, + -0.25197167233983503, + -0.3280230803460394, + -0.4092374250777027, + -0.49463267253147847, + -0.5830463136929116, + -0.673166584948496, + -0.7635681499079486, + -0.8527513134069004, + -0.9391837429409234, + -1.0213436032769962, + -1.0977629683038848, + -1.1670703614263682, + -1.2280312923612955, + -1.279585703701284, + -1.320881313991263, + -1.351301943529101, + -1.3704900322111009, + -1.3783627024557519, + -1.3751208809917592, + -1.3612511670923444, + -1.3375203173457426, + -1.3049624037134249, + -1.2648588877713172, + -1.218712034986479, + -1.1682122641032238, + -1.1152001838823429, + -1.0616242085796823, + -1.0094947611310148, + -0.9608361660231142, + -0.9176373998750704, + -0.8818029050934253, + -0.8551046795729798, + -0.839136833002126, + -0.8352737483508492, + -0.8446329067596353, + -0.8680433272021593, + -0.9060204415180039, + -0.9587480738551587, + -1.0260680248978091, + -1.1074775795850287, + -1.2021350667822954, + -1.3088734052016069, + -1.4262213765351688, + -1.552432179016966, + -1.6855186370724278, + -1.8232942797319172, + -1.9634193560897615, + -2.1034507338582413, + -2.240894530025466, + -2.3732602531944145, + -2.498115197098019, + -2.613137815076467, + -2.716168826245901, + -2.805258855211371, + -2.8787114872685753, + -2.935120728176048, + -2.9734019891757697, + -2.992815870808741, + -2.992984189504829, + -2.973897874783204, + -2.9359165577127317, + -2.8797598683628656, + -2.8064906565331675, + -2.7174905413058528, + -2.614428376274253, + -2.499222384260248, + -2.373996863898348, + -2.2410344970398337, + -2.1027253874645617, + -1.9615140354446328, + -1.8198454975227016, + -1.6801119954062391, + -1.544601221839391, + -1.4154475451483353, + -1.2945872390546809, + -1.1837187622138574, + -1.0842689853216698, + -0.9973661156990637, + -0.923819903689144, + -0.8641095360840012, + -0.8183794335709569, + -0.7864429764925662, + -0.7677939907971476, + -0.7616256386454056, + -0.7668561803285151, + -0.7821609102921613, + -0.8060094241431427, + -0.836707249081719, + -0.8724407702557405, + -0.9113243124605132, + -0.9514481921287088, + -0.9909265396718789, + -1.0279437072170354, + -1.0607981211535, + -1.087942511463033, + -1.1080195486476043, + -1.1198920416418032, + -1.1226669932627629, + -1.115712969865246, + -1.0986704148735025, + -1.0714547173816356, + -1.034252032473628, + -0.9875080346463796, + -0.9319099650845972, + -0.8683625030385337, + -0.7979581469525266, + -0.7219429284031105, + -0.6416783979058955, + -0.5586009133592171, + -0.4741793270417923, + -0.3898722040741198, + -0.3070857132008217, + -0.22713330949718688, + -0.15119827872587263, + -0.08030013586675859, + -0.015265767799349891, + 0.04329391514540214, + 0.0950011988359453, + 0.13972219689743537, + 0.177570607271984, + 0.20890448665434544, + 0.23431611827069945, + 0.2546152292469424, + 0.27080598818378054, + 0.2840583770874642, + 0.2956746803360727, + 0.3070519631062842, + 0.31964151932898494, + 0.3349063520220988, + 0.35427780462692854, + 0.37911248928868374, + 0.41065065612560414, + 0.44997711641063726, + 0.4979857729662731, + 0.5553487243852754, + 0.6224907980583361, + 0.6995702331642846, + 0.7864660820716433, + 0.8827727308035024, + 0.9878017605079134, + 1.1005911867121976, + 1.2199219261509084, + 1.3443411568283008, + 1.47219206033072, + 1.6016492706886847, + 1.7307592054611203, + 1.8574843259425624, + 1.979750267758306, + 2.0954947033248947, + 2.2027167457884365, + 2.29952568149751, + 2.384187825480613, + 2.4551703316987075, + 2.5111808562079565, + 2.551202065250483, + 2.57452009946078, + 2.5807462469712608, + 2.5698312387997504, + 2.542071755605271, + 2.498108921426532, + 2.4389187528139953, + 2.3657947261123624, + 2.2803228167796554, + 2.1843495478468, + 2.0799437554187916, + 1.9693529332853037, + 1.8549551524371601, + 1.7392076612644354, + 1.6245933557098962, + 1.5135663635830037, + 1.4084980122179218, + 1.3116244430308448, + 1.2249971003933224, + 1.150437256435114, + 1.0894956394932427, + 1.0434181141956858 + ], + [ + 1.0206839974995527, + 1.0022657713672298, + 1.0003645577997182, + 1.0149442188713114, + 1.0456022158483447, + 1.091579188536824, + 1.1517765814483494, + 1.2247818935422874, + 1.3089009480720482, + 1.4021964135571412, + 1.5025316601323597, + 1.6076189110419181, + 1.7150705498518461, + 1.8224523724291255, + 1.9273375305809757, + 2.0273599024414057, + 2.120265643468071, + 2.2039617207542825, + 2.2765603110152175, + 2.3364180471153198, + 2.3821692267506287, + 2.4127522466791937, + 2.4274286929871978, + 2.4257946981513445, + 2.407784364655941, + 2.373665247986595, + 2.324026084200897, + 2.259757134245989, + 2.1820236941728948, + 2.0922334830633984, + 1.9919987648758288, + 1.8830941830301025, + 1.7674113844353372, + 1.6469115804792704, + 1.5235772345876468, + 1.3993640783793113, + 1.2761546409830133, + 1.1557144292810444, + 1.0396518219666322, + 0.9293826393057628, + 0.8261002259842776, + 0.7307517395822154, + 0.6440211757333376, + 0.5663194869898821, + 0.49778197021688264, + 0.43827291157735, + 0.387397293510275, + 0.34451918918169067, + 0.30878630118703293, + 0.27915994701873864, + 0.2544496578355109, + 0.23335144276331468, + 0.21448868115835337, + 0.19645454218529687, + 0.17785479625193404, + 0.1573498771242065, + 0.13369507702080324, + 0.10577780901747748, + 0.07265095032333439, + 0.03356138438639433, + -0.012027013326654717, + -0.06441655488676344, + -0.123665532122243, + -0.18958489571778936, + -0.26174191526552515, + -0.3394707317397444, + -0.4218895334444704, + -0.507923912821157, + -0.5963357990164952, + -0.685757213931438, + -0.7747279713530448, + -0.8617363329840452, + -0.9452615544447293, + -1.0238172007135509, + -1.0959940854014465, + -1.1605016924087839, + -1.216206971847099, + -1.2621694638407586, + -1.2976717924617427, + -1.322244685421119, + -1.335685810445914, + -1.338071873157299, + -1.3297635899102231, + -1.3114033282538125, + -1.2839053929512008, + -1.2484391222209186, + -1.2064051423477515, + -1.159405304448304, + -1.109206990540547, + -1.057702623029396, + -1.006865338553619, + -0.9587018906084029, + -0.915203922802533, + -0.8782988040109239, + -0.8498012367167396, + -0.8313668399035977, + -0.8244488681019243, + -0.8302591594986097, + -0.8497343099901992, + -0.8835079489817396, + -0.9318898495165611, + -0.9948524434308476, + -1.0720251355943593, + -1.1626966242305228, + -1.2658252413776694, + -1.3800571334834488, + -1.5037519116795686, + -1.635015219145264, + -1.7717374936210386, + -1.9116380507575315, + -2.052313482344529, + -2.191289255826144, + -2.326073320547217, + -2.4542104739202246, + -2.573336218474585, + -2.6812288491412475, + -2.77585854897218, + -2.8554323398891817, + -2.9184338313656637, + -2.963656831850168, + -2.990232032294951, + -2.997646134853533, + -2.985752978685507, + -2.954776404509171, + -2.905304795462247, + -2.838277429204827, + -2.7549629702286746, + -2.6569306173079603, + -2.546014594422146, + -2.4242728300957954, + -2.2939408061393176, + -2.157381668952598, + -2.0170337821702384, + -1.8753569564361503, + -1.7347786191529524, + -1.5976411835498845, + -1.4661518424937825, + -1.3423359490188809, + -1.2279950541836868, + -1.1246705558711825, + -1.0336137724516856, + -0.9557630962981988, + -0.8917287079219806, + -0.841785146289148, + -0.805871839258378, + -0.7836015047646897, + -0.7742761431167496, + -0.776910158242059, + -0.7902599753718332, + -0.8128593686613245, + -0.8430595783344016, + -0.879073186361229, + -0.9190206350782217, + -0.9609782165441786, + -1.0030263331016784, + -1.043296832155242, + -1.080018250421809, + -1.1115578639515122, + -1.136459528441178, + -1.153476407480067, + -1.1615978214735796, + -1.1600696036408282, + -1.1484075177763657, + -1.1264034711479942, + -1.0941244404639154, + -1.0519042146383835, + -1.0003282404484133, + -0.9402120315326157, + -0.8725737631733276, + -0.7986018208785823, + -0.7196181963133773, + -0.6370387265001741, + -0.552331248883302, + -0.46697279394557323, + -0.38240695738863006, + -0.3000025849757876, + -0.2210148652581596, + -0.14654985956047595, + -0.07753340649380182, + -0.014685222250287963, + 0.041501119017719766, + 0.0907717948373597, + 0.13311957210817518, + 0.16878368807331612, + 0.19824277174459562, + 0.22220098504766028, + 0.24156774056072877, + 0.2574315213317158, + 0.27102848358698517, + 0.28370666123534355, + 0.2968867084001422, + 0.3120202097774054, + 0.33054665601157646, + 0.3538502207519465, + 0.38321748655218074, + 0.41979724798025636, + 0.4645634726304865, + 0.5182824253138553, + 0.5814848593869052, + 0.6544440544558849, + 0.7371603346462988, + 0.8293525398587231, + 0.930456747965631, + 1.0396323630929851, + 1.1557754985443978, + 1.2775393972380287, + 1.4033614523978681, + 1.5314962212038958, + 1.6600536684494878, + 1.787041739919602, + 1.9104122496826899, + 2.0281089747391516, + 2.1381167868367275, + 2.2385106164251174, + 2.3275030386445636, + 2.403489296153384, + 2.465088627982014, + 2.511180856207956, + 2.5409372911265393, + 2.553845148140744, + 2.5497248226127858, + 2.528739538700244, + 2.4913970706079294, + 2.4385434252711597, + 2.371348569583257, + 2.2912844781311916, + 2.2000959642715525, + 2.0997649336667363, + 1.9924688607627214, + 1.8805344311403092, + 1.766387412685143, + 1.652499913118039, + 1.5413362482467856, + 1.4352986826631335, + 1.3366743115546311, + 1.24758432861602, + 1.1699368712650142, + 1.1053845517684837, + 1.0552876734479624, + 1.0206839974995523 + ], + [ + 1.0062353373301178, + 0.9998487602927527, + 1.0100058989589125, + 1.0364378335285624, + 1.0785139921938558, + 1.1352566604591785, + 1.2053633091138967, + 1.2872362088251115, + 1.3790186272319451, + 1.4786367494745625, + 1.5838463290335407, + 1.692282965827858, + 1.8015148253687086, + 1.909096558379791, + 2.012623155953948, + 2.1097824815650665, + 2.198405257886126, + 2.2765113524278853, + 2.342351299835696, + 2.394442117913352, + 2.431596616111531, + 2.4529455558067044, + 2.45795219722788, + 2.4464189540263126, + 2.418486068637492, + 2.3746224150262365, + 2.3156087253830373, + 2.2425137191964426, + 2.15666378241587, + 2.0596069970148787, + 1.953072453461154, + 1.8389258872029461, + 1.7191227626900325, + 1.5956599827119229, + 1.4705274257103844, + 1.3456605086917937, + 1.2228949386550638, + 1.1039247520267257, + 0.9902646511311923, + 0.8832175315649283, + 0.7838479574408315, + 0.6929621863114114, + 0.6110951761011629, + 0.5385048268636083, + 0.47517352515205713, + 0.42081687290857067, + 0.37489930069892424, + 0.3366560914138625, + 0.30512117956239737, + 0.2791599470187386, + 0.2575061121421295, + 0.23880170864445696, + 0.2216390759183213, + 0.20460373558940484, + 0.18631701095400702, + 0.16547725711188718, + 0.14089860967654425, + 0.11154622788317665, + 0.0765671019620019, + 0.03531561238884828, + -0.012626832941668841, + -0.06743860197946222, + -0.12905143177794182, + -0.19715098359293926, + -0.27118434954946713, + -0.3503743187102861, + -0.4337400333278672, + -0.520123498348388, + -0.6082212531270673, + -0.6966203777318298, + -0.7838378906410683, + -0.868362503038533, + -0.9486976296301742, + -1.0234045186496827, + -1.0911443554734572, + -1.1507182152949473, + -1.201103790139745, + -1.2414878929386386, + -1.271293844522649, + -1.2902029757196303, + -1.2981696230879878, + -1.2954291595829355, + -1.2824987765597198, + -1.2601709166045085, + -1.2294994431668882, + -1.1917788181734394, + -1.1485167380773484, + -1.1014008476304684, + -1.0522603047887058, + -1.0030231056740786, + -0.9556701919676485, + -0.9121874515895176, + -0.8745167847431266, + -0.8445074397425931, + -0.8238688255997839, + -0.8141259809561111, + -0.8165788221805335, + -0.8322662086273266, + -0.8619357521617033, + -0.906020163774886, + -0.9646207756648439, + -1.037498706302256, + -1.124073952894895, + -1.2234325047799204, + -1.334341377286685, + -1.4552712732812116, + -1.5844263936558096, + -1.7197807430414354, + -1.8591201173135439, + -2.0000888189824604, + -2.1402400287873733, + -2.27708866967804, + -2.4081655351718285, + -2.531071419435922, + -2.6435299822601857, + -2.7434381085059334, + -2.828912578037564, + -2.898331947231416, + -2.9503726548680413, + -2.9840385008559553, + -2.998682802524622, + -2.9940227063721316, + -2.97014531895563, + -2.9275055145551474, + -2.8669154746102685, + -2.78952620992578, + -2.6968015065032422, + -2.5904849149676994, + -2.472560567574464, + -2.34520875172392, + -2.2107572912751037, + -2.0716298837799734, + -1.9302926107352258, + -1.7891998774276676, + -1.6507410480170572, + -1.5171890199879683, + -1.3906519305905185, + -1.2730291076948026, + -1.1659722706232085, + -1.0708528556682086, + -0.988736189405052, + -0.9203630643275357, + -0.8661390899408236, + -0.8261320027148864, + -0.8000769249097728, + -0.787389369984578, + -0.7871856058141227, + -0.7983098108267107, + -0.8193672967426152, + -0.8487629287645717, + -0.884743753308495, + -0.9254447475716661, + -0.9689365366992168, + -1.0132738846302558, + -1.0565437547661776, + -1.096911756549784, + -1.1326658432772116, + -1.1622562036613848, + -1.1843303928103373, + -1.197762874719576, + -1.201678294874381, + -1.1954679643924457, + -1.1787992121874633, + -1.1516174444817908, + -1.1141409370374455, + -1.0668485700351373, + -1.0104608939827429, + -0.945915082911045, + -0.8743344842220702, + -0.796993609077539, + -0.7152795198078735, + -0.6306506586966446, + -0.5445942234873051, + -0.45858322758173614, + -0.3740343863821238, + -0.29226794553010604, + -0.21447051261559044, + -0.14166187267325434, + -0.07466666154859786, + -0.014091642716365564, + 0.03969081435023597, + 0.08655261887675662, + 0.12661294497851178, + 0.1602342382621173, + 0.18801134433994846, + 0.21075404080556256, + 0.22946342715112525, + 0.24530278853319595, + 0.25956369510438587, + 0.27362822510976453, + 0.28892830386771556, + 0.3069032294500248, + 0.32895650731312337, + 0.356413138963497, + 0.39047850333576495, + 0.43219993402700846, + 0.4824320317034622, + 0.5418066604261849, + 0.610708461555408, + 0.6892565821331199, + 0.7772931596028702, + 0.8743789352627067, + 0.9797961891878023, + 1.0925590039937831, + 1.2114306783822824, + 1.3349479285946286, + 1.4614513412953907, + 1.589121379417227, + 1.7160190972188165, + 1.8401305959271854, + 1.9594141500435682, + 2.0718488592953803, + 2.1754836342778434, + 2.268485306312403, + 2.34918466449256, + 2.416119265084317, + 2.468071929452908, + 2.5041039448377056, + 2.523582105254324, + 2.526198874608386, + 2.5119851172538734, + 2.481315018753411, + 2.43490300716785, + 2.373792678230998, + 2.299337921520989, + 2.2131766344644705, + 2.11719759203596, + 2.0135012078809384, + 1.9043550731518433, + 1.7921452888752105, + 1.679324712951069, + 1.5683593212985736, + 1.4616739322377543, + 1.3615985626748364, + 1.2703166735134264, + 1.189816520172532, + 1.1218467531262206, + 1.0678773146840963, + 1.0290665541803306, + 1.0062353373301176 + ], + [ + 1.000194375890509, + 1.0058876342876115, + 1.0279996542624508, + 1.066031021443582, + 1.1191284860620347, + 1.1861042794744132, + 1.2654629550181868, + 1.3554351168771017, + 1.4540172381490624, + 1.5590166262293488, + 1.6681004734113387, + 1.7788478361658062, + 1.8888033201557504, + 1.9955312112555452, + 2.096668786522677, + 2.189977563321836, + 2.2733912989792286, + 2.3450596360714493, + 2.4033863976512806, + 2.4470616696589302, + 2.4750869611591706, + 2.486792903083464, + 2.4818491286395266, + 2.460266168978657, + 2.4223893913958725, + 2.36888519952087, + 2.3007199009267065, + 2.2191318227882655, + 2.1255974163895694, + 2.021792232513286, + 1.9095477686292623, + 1.790805282473059, + 1.6675677328419318, + 1.541851045689996, + 1.4156359110536472, + 1.290821293900167, + 1.1691807903263243, + 1.0523228810229255, + 0.9416560286377303, + 0.8383594373210838, + 0.7433601446018853, + 0.6573169515776333, + 0.5806115213638263, + 0.5133467922748044, + 0.4553526659164069, + 0.40619874593738714, + 0.36521372523293727, + 0.3315108523700492, + 0.30401875607942663, + 0.28151677361519156, + 0.2626738179251104, + 0.24608973264227466, + 0.23033802501629763, + 0.21400883647858346, + 0.19575100929553718, + 0.1743121356850277, + 0.1485755321011329, + 0.11759316466266574, + 0.08061365976807428, + 0.037104664036554734, + -0.01323103347680519, + -0.07044604011405627, + -0.13434580832898477, + -0.20449306230196465, + -0.2802190879248687, + -0.36064159197796436, + -0.4446886641364675, + -0.5311282150992359, + -0.6186021197046233, + -0.7056641690682827, + -0.7908208337325568, + -0.8725737631733269, + -0.949462897746348, + -1.020109048562393, + -1.0832548094296353, + -1.1378027027283153, + -1.1828495269907457, + -1.217715966443274, + -1.241970639549704, + -1.2554479017877487, + -1.2582588740586382, + -1.250795338385548, + -1.2337263226487658, + -1.2079873815299162, + -1.1747627669469534, + -1.1354608633823091, + -1.0916834370550372, + -1.0451894084849673, + -0.9978540015778307, + -0.9516242452759802, + -0.9084719029279558, + -0.8703449772764824, + -0.8391189834440171, + -0.8165491973025543, + -0.8042250716751578, + -0.8035279681987937, + -0.8155932793876849, + -0.8412779151931703, + -0.8811340035521613, + -0.9353895080575553, + -1.0039363015167249, + -1.086326055787838, + -1.1817741202526955, + -1.2891713682004746, + -1.4071037969956466, + -1.5338794789374197, + -1.667562279840754, + -1.806011596016482, + -1.9469272116124177, + -2.087898250883093, + -2.226455097048172, + -2.3601230735480643, + -2.4864766366164255, + -2.603192811362469, + -2.7081026174501543, + -2.799239274686288, + -2.8748820523489393, + -2.9335947271476654, + -2.974257740876397, + -2.9960932970508116, + -2.9986828025246224, + -2.98197624120911, + -2.9462932581790597, + -2.8923159289903637, + -2.8210733861825714, + -2.7339186679010035, + -2.6324983376583497, + -2.518715594993891, + -2.3946877500366637, + -2.26269906702455, + -2.125150089482425, + -1.9845046404276439, + -1.843235742720692, + -1.7037717262941199, + -1.56844377999426, + -1.439436166429243, + -1.3187402495484002, + -1.2081133884154054, + -1.1090436291877976, + -1.0227209837014395, + -0.9500159208416816, + -0.8914655200762428, + -0.8472675494932278, + -0.8172825380389828, + -0.8010437181227591, + -0.7977745250984422, + -0.8064131589932484, + -0.8256435456550417, + -0.8539318833308512, + -0.8895678302368832, + -0.9307092820828374, + -0.9754296083218192, + -1.0217661640038092, + -1.067768871702676, + -1.1115476755180156, + -1.1513177063340965, + -1.1854410633243786, + -1.2124642093879114, + -1.231150095396134, + -1.240504266813431, + -1.2397943629026151, + -1.2285625893677157, + -1.2066309256114227, + -1.174099013251035, + -1.1313348584836458, + -1.078958662654835, + -1.01782026841539, + -0.9489708688245636, + -0.8736297696879536, + -0.7931471177489579, + -0.7089636060531094, + -0.6225682404395585, + -0.5354552959071203, + -0.44908160747804104, + -0.3648253267939476, + -0.28394723341345185, + -0.20755561975418893, + -0.136575672645113, + -0.07172415499060003, + -0.013490051149037485, + 0.037878317139609874, + 0.08237936709196166, + 0.12025736451824447, + 0.1519945900524605, + 0.17829676694602095, + 0.20007213187249573, + 0.21840469698684142, + 0.23452240435601068, + 0.24976100893810493, + 0.2655246400895024, + 0.28324408121256783, + 0.3043338703158729, + 0.330149359304279, + 0.36194487581377677, + 0.4008341081517996, + 0.4477537819296255, + 0.5034316175341915, + 0.5683594526293735, + 0.6427722859926075, + 0.7266338513530435, + 0.8196291661745553, + 0.9211643246038003, + 1.0303736204709246, + 1.146133899878708, + 1.2670858582201674, + 1.3916618180677756, + 1.5181193567748201, + 1.6445800000565465, + 1.7690720641446345, + 1.8895766177390603, + 2.004075448774531, + 2.110599862211123, + 2.207279105210198, + 2.2923872160101446, + 2.3643871226757773, + 2.4219708770211303, + 2.464094996030986, + 2.4900099959697357, + 2.4992833403596273, + 2.491815178847872, + 2.467846425879272, + 2.4279589118578406, + 2.3730675306255904, + 2.3044045009260534, + 2.2234960512949877, + 2.132132022813823, + 2.032329057813933, + 1.9262882006443338, + 1.8163478751012891, + 1.7049333186301139, + 1.5945036430710098, + 1.4874977532868838, + 1.386280386923848, + 1.293089539982898, + 1.2099865137393095, + 1.1388097595000437, + 1.0811336101374216, + 1.0382328733799033, + 1.0110541242245428, + 1.000194375890509 + ], + [ + 1.0026122224480716, + 1.0203313017451878, + 1.054193588398198, + 1.103473410855538, + 1.1671020804564889, + 1.2436918517168492, + 1.3315670489614697, + 1.4288016240757804, + 1.5332622586377826, + 1.642655993691846, + 1.7545812650788817, + 1.8665811440816527, + 1.9761975340485787, + 2.0810250547809326, + 2.1787633582214685, + 2.267266661031364, + 2.3445893509081617, + 2.409026622186899, + 2.459149219915756, + 2.493831517133667, + 2.5122723138948384, + 2.5140079246354117, + 2.4989173083689096, + 2.4672191893039437, + 2.419461309054273, + 2.356502140909792, + 2.2794855770240736, + 2.1898092664454984, + 2.0890874316082666, + 1.97910911957768, + 1.8617929489089762, + 1.7391394909312778, + 1.6131824737724665, + 1.4859400173695168, + 1.3593670976701249, + 1.2353103985765954, + 1.1154666419975845, + 1.0013453914484491, + 0.8942372054281934, + 0.7951878763500514, + 0.7049793326850002, + 0.6241176101963817, + 0.5528281170344165, + 0.4910582315802319, + 0.4384870859481066, + 0.3945422066327534, + 0.3584225114635292, + 0.3291270031008087, + 0.30548835773963895, + 0.28621048698861534, + 0.2699090540551163, + 0.25515385477587776, + 0.24051193140659421, + 0.2245902734434535, + 0.20607697538162234, + 0.18377976577307117, + 0.1566608940570102, + 0.12386745953452015, + 0.08475638803142387, + 0.038913403143018985, + -0.013834503122132646, + -0.07341342500304564, + -0.13950386895401737, + -0.2115490145366587, + -0.28876969241680817, + -0.3701856857649405, + -0.45464279549931846, + -0.5408449581902972, + -0.6273905719205214, + -0.7128120733737277, + -0.7956177217691388, + -0.8743344842220695, + -0.9475508842786995, + -1.0139586716198372, + -1.0723921963995715, + -1.1218644257895376, + -1.16159862172649, + -1.1910548056097343, + -1.2099502651258813, + -1.2182735072777884, + -1.2162912263544736, + -1.204548031889501, + -1.1838588652072353, + -1.1552942193500864, + -1.120158461340845, + -1.079961733229226, + -1.0363860747248286, + -0.9912465612229381, + -0.9464483828522184, + -0.9039408994523184, + -0.8656697903172864, + -0.8335284739359208, + -0.8093100003218834, + -0.7946606160730993, + -0.7910361699899631, + -0.7996624656152277, + -0.8215005778613691, + -0.8572180360807503, + -0.9071666382675023, + -0.9713675038873358, + -1.0495037999330183, + -1.1409213904163178, + -1.24463746814229, + -1.359357033960472, + -1.4834968975084457, + -1.615216689461603, + -1.7524562030178583, + -1.8929782260343282, + -2.0344158887667274, + -2.174323438931328, + -2.310229268636674, + -2.4396899588059795, + -2.5603440775266093, + -2.6699644700888645, + -2.766507810331334, + -2.8481602445661096, + -2.913378049352206, + -2.960922340563248, + -2.9898870107549746, + -2.99971923140407, + -2.990232032294952, + -2.9616086579108343, + -2.9143985955831457, + -2.8495053676321658, + -2.768166374991035, + -2.671925268098727, + -2.5625974975999415, + -2.4422298583095006, + -2.313054981082967, + -2.1774418452663005, + -2.0378434764261506, + -1.8967430578789932, + -1.7565997186237219, + -1.6197952638507755, + -1.4885830872119727, + -1.3650404471983835, + -1.2510252047294501, + -1.148138007540491, + -1.0576907719445017, + -0.980682157387635, + -0.9177805577547415, + -0.8693149498449748, + -0.8352737483508494, + -0.8153116227370241, + -0.808764039389276, + -0.8146691069946828, + -0.8317961288536643, + -0.8586801069617478, + -0.8936613030933506, + -0.9349288451473751, + -0.9805672754843595, + -1.0286048740713347, + -1.0770625544393229, + -1.1240021255115444, + -1.167572737298073, + -1.2060543825540315, + -1.2378974083206522, + -1.2617570986832647, + -1.2765225203285357, + -1.2813389722438167, + -1.2756235463750458, + -1.2590734830638592, + -1.2316671891586828, + -1.1936579732109132, + -1.1455607364467435, + -1.0881320356340347, + -1.0223441001084994, + -0.9493535359415839, + -0.8704655817748238, + -0.7870948899500356, + -0.7007238905374336, + -0.612859852644707, + -0.5249917856054879, + -0.4385483216400975, + -0.35485769143536444, + -0.2751108456154971, + -0.20032868979658722, + -0.1313342910298217, + -0.06873078175678839, + -0.012885537285186602, + 0.036078961932407706, + 0.07828734708149213, + 0.11410660181400009, + 0.1441344545966827, + 0.1691812292834622, + 0.1902456320316525, + 0.20848511192919963, + 0.2251815757284784, + 0.24170336024887526, + 0.25946446617074265, + 0.27988213153050145, + 0.3043338703158728, + 0.33411511991742643, + 0.37039863030589276, + 0.4141966878975766, + 0.466327199096655, + 0.5273845641241258, + 0.5977161532861068, + 0.6774050582347191, + 0.7662596335046477, + 0.8638101725884965, + 0.9693128823175476, + 1.081761133859794, + 1.1999037828856567, + 1.3222701700523671, + 1.447201240489198, + 1.5728860617826312, + 1.6974028780959332, + 1.8187637171200126, + 1.9349614696361208, + 2.0440182910788467, + 2.144034132466684, + 2.2332341955620896, + 2.3100141245465617, + 2.3729817935187953, + 2.420994624678954, + 2.453191474372579, + 2.469018250789055, + 2.4682465749887745, + 2.450984962484135, + 2.4176821817909957, + 2.369122634821783, + 2.306413797093571, + 2.230965948734835, + 2.1444646154462035, + 2.048836317266918, + 1.9462083878084397, + 1.8388637734624804, + 1.7291918473302783, + 1.6196363731371592, + 1.5126418276781226, + 1.4105993345386252, + 1.315793475814391, + 1.2303512319199787, + 1.1561942526836788, + 1.0949955868746675, + 1.0481418939112102, + 1.016702033243601, + 1.0014027768887426, + 1.0026122224480716 + ], + [ + 1.01346842092684, + 1.0430575627029564, + 1.0883660888304754, + 1.148448222207131, + 1.222028897060342, + 1.3075321602666419, + 1.4031163203965415, + 1.5067150165715233, + 1.6160832399659906, + 1.7288472249660751, + 1.8425570374056581, + 1.9547406260906544, + 2.0629580724513277, + 2.1648547723533222, + 2.2582123138255343, + 2.340995873953312, + 2.4113970459361194, + 2.4678711211263047, + 2.5091679879197986, + 2.534355966264329, + 2.542838069407827, + 2.5343603690652796, + 2.5090123318920794, + 2.467219189303944, + 2.409726594514276, + 2.33757800547225, + 2.252085405663997, + 2.1547941322634094, + 2.0474427190641675, + 1.931918776657825, + 1.8102120216844315, + 1.6843656285530832, + 1.5564271093829745, + 1.4283999303501052, + 1.3021970451829699, + 1.1795974700144838, + 1.0622069396696352, + 0.9514235759326735, + 0.8484093662041964, + 0.754068099593, + 0.6690302407265093, + 0.593645043618615, + 0.5279800232856944, + 0.4718277160890557, + 0.42471947568545015, + 0.385945874591831, + 0.3545831161322487, + 0.32952471204966294, + 0.30951755104798645, + 0.29320137619994135, + 0.2791506071605054, + 0.265917388470454, + 0.252074719237404, + 0.2362585227391374, + 0.21720754686662117, + 0.19380004694132127, + 0.16508628972336142, + 0.13031602912497314, + 0.08896023739633682, + 0.04072652695693658, + -0.014432136251378609, + -0.0763156512275125, + -0.14448197412610275, + -0.21825914374826114, + -0.29676382104209115, + -0.37892585271902496, + -0.46351821096079465, + -0.5491915195781452, + -0.6345122554921949, + -0.7180036161432773, + -0.7981879709074078, + -0.8736297696879529, + -0.9429777657263613, + -1.0050054227940266, + -1.0586484190048893, + -1.1030382295136691, + -1.1375308666216575, + -1.1617299759229847, + -1.1755036281081903, + -1.1789943043889088, + -1.1726217452656487, + -1.1570785132348962, + -1.1333183054903655, + -1.1025372380609877, + -1.0661485034827214, + -1.0257509754689276, + -0.9830924917943782, + -0.940028686741634, + -0.8984783634075951, + -0.8603764908857214, + -0.8276259793765035, + -0.8020494258457522, + -0.7853420328626568, + -0.7790268833561255, + -0.784413704620503, + -0.80256217710643, + -0.8342507391834161, + -0.8799517106543706, + -0.9398134084381323, + -1.0136497611392792, + -1.1009377492575947, + -1.2008228089520676, + -1.3121321441945435, + -1.4333956995682073, + -1.562874358626472, + -1.698594755247219, + -1.8383899221821067, + -1.9799448560521746, + -2.1208459549786705, + -2.2586331869284337, + -2.3908537761529973, + -2.515116153598079, + -2.6291429059268827, + -2.730821477167764, + -2.8182514265432967, + -2.889787124603224, + -2.94407487549308, + -2.9800835835027817, + -2.9971282338082763, + -2.994885626870348, + -2.973401989175771, + -2.9330922754484448, + -2.8747311744459494, + -2.799436027201644, + -2.708642058291035, + -2.6040705027336113, + -2.487690379065402, + -2.361674808857069, + -2.228352910877972, + -2.0901584011245795, + -1.9495761055594274, + -1.8090876388349524, + -1.671117518411424, + -1.5379809689696884, + -1.4118346272685085, + -1.294631283744529, + -1.1880796960542443, + -1.0936103839314306, + -1.012348167303032, + -0.9450920442201958, + -0.8923028259026156, + -0.8540987574811348, + -0.83025915949861, + -0.820235931644314, + -0.8231725712979236, + -0.837930179865572, + -0.8631197639844265, + -0.8971399904889601, + -0.9382194271611557, + -0.9844621987838108, + -1.0338959123278846, + -1.0845206580098896, + -1.1343578755207713, + -1.1814978872838005, + -1.2241449427320619, + -1.2606586881601398, + -1.2895910738505965, + -1.3097178313987186, + -1.3200637963613577, + -1.3199215109248772, + -1.308862714186606, + -1.28674250951387, + -1.2536961847105956, + -1.2101288467096347, + -1.1566982135618873, + -1.0942910780863335, + -1.0239941153988907, + -0.9470598467251373, + -0.8648686909442367, + -0.7788881302666156, + -0.6906300849826226, + -0.6016076326659296, + -0.513292218614352, + -0.42707248643246054, + -0.34421581101191434, + -0.2658335419755236, + -0.19285086584044972, + -0.12598207228759803, + -0.06571186713923782, + -0.012283215585646743, + 0.03430797208789991, + 0.0743111791862968, + 0.10821269510150841, + 0.13672033219749163, + 0.16074185292572524, + 0.18135767791822832, + 0.19978859615645095, + 0.2173593302875612, + 0.23545892039073538, + 0.2554989751670978, + 0.27887089843712637, + 0.3069032294500245, + 0.34082023702325137, + 0.38170287985147416, + 0.4304531891018102, + 0.4877630460142966, + 0.554088218706282, + 0.6296283914247703, + 0.7143137693570661, + 0.8077986765400592, + 0.9094623875382983, + 1.0184172498182198, + 1.1335239677380262, + 1.2534137354732409, + 1.3765167296295964, + 1.5010963072133363, + 1.6252881052122417, + 1.747143108084552, + 1.8646736422750474, + 1.9759011752344384, + 2.078904742436278, + 2.17186880100652, + 2.253129313524328, + 2.321216900299169, + 2.374895962217149, + 2.413198767594362, + 2.4354536132048183, + 2.441306308958764, + 2.4307343942211004, + 2.404053667623496, + 2.361916797193611, + 2.305303969172683, + 2.235505727318631, + 2.1540983450402043, + 2.062912255684049, + 1.9639942371844192, + 1.8595642018577738, + 1.7519675765493414, + 1.6436243692723052, + 1.536976103152525, + 1.434431854773525, + 1.3383146604733394, + 1.25080955007306, + 1.1739144329616986, + 1.1093949972163402, + 1.0587446900229527, + 1.023150729295782, + 1.003466954925559, + 1.0001941669386758, + 1.0134684209268405 + ], + [ + 1.0326711229751988, + 1.0738741427094647, + 1.1302280407423932, + 1.2005749482429935, + 1.283444230150458, + 1.377085087225391, + 1.4795054301106476, + 1.5885161118076052, + 1.7017794791547294, + 1.816861103233481, + 1.9312834755482935, + 2.042580413082396, + 2.14835090194952, + 2.2463111266286733, + 2.334343479219401, + 2.4105414195835113, + 2.47324916073234, + 2.5210952818012013, + 2.5530195202523442, + 2.568292161873748, + 2.5665256275753348, + 2.547678045483606, + 2.5120487907419795, + 2.460266168978657, + 2.3932676078658983, + 2.3122728999573128, + 2.2187512046949016, + 2.1143826641217087, + 2.001015611869843, + 1.8806204554086965, + 1.7552413849405828, + 1.626947106999649, + 1.4977818157382858, + 1.369717599805131, + 1.2446094381059682, + 1.1241538647998548, + 1.009852284524461, + 0.9029797956247413, + 0.8045602352229083, + 0.715347998968205, + 0.6358170143115299, + 0.5661570635465748, + 0.5062774662346643, + 0.4558179446642387, + 0.41416631534117415, + 0.38048247867357066, + 0.35372802226094435, + 0.3327006144189391, + 0.31607224720585, + 0.3024302951630285, + 0.29032028952015604, + 0.27828926936039305, + 0.26492856209145715, + 0.24891486569665056, + 0.2290485540791296, + 0.20428820307686563, + 0.17378043644031432, + 0.13688431561727865, + 0.09318964139492253, + 0.042528695630393895, + -0.015018876617837584, + -0.07912816464032552, + -0.1492380068228668, + -0.22456667920727363, + -0.3041338398551634, + -0.38678814707281567, + -0.4712398204899207, + -0.5560972835765767, + -0.6399069177540291, + -0.7211948745759014, + -0.7985098356766032, + -0.870465581774823, + -0.9357822327416458, + -0.9933250506214186, + -1.0421397558214769, + -1.0814833920401539, + -1.1108498857752178, + -1.1299895787118108, + -1.1389221626330819, + -1.1379426129515922, + -1.1276198943628393, + -1.1087883960297533, + -1.0825322395032253, + -1.0501627855971314, + -1.0131898420558456, + -0.9732872376427141, + -0.9322535760908989, + -0.8919691114355197, + -0.8543497913151441, + -0.8212995941857825, + -0.7946623379611866, + -0.7761741599972509, + -0.7674178609166711, + -0.769780267604763, + -0.7844137046205027, + -0.8122025698010505, + -0.8537358912195273, + -0.9092866017400336, + -0.9787981076155765, + -1.0618785527840962, + -1.1578029950050401, + -1.2655235182885742, + -1.3836871129083648, + -1.510660964409764, + -1.6445646111099563, + -1.7833082601287162, + -1.9246363991839215, + -2.066175709027221, + -2.2054861727780417, + -2.340114196255759, + -2.46764649978055, + -2.5857635181856784, + -2.6922910525971524, + -2.785248954781169, + -2.8628956916786383, + -2.9237677325561386, + -2.9667128217319365, + -2.990916343180437, + -2.9959201460125806, + -2.9816333779312325, + -2.9483350629475495, + -2.896668355321382, + -2.8276265991000042, + -2.7425315169754767, + -2.643004038736914, + -2.5309284538252763, + -2.4084107301733906, + -2.2777319788065404, + -2.1412981572637357, + -2.001587192033035, + -1.86109475878123, + -1.7222799878051633, + -1.5875123601787309, + -1.4590210276069433, + -1.3388477268640635, + -1.2288043694510093, + -1.1304362710093425, + -1.044991845957988, + -0.9733994342164176, + -0.916251752661228, + -0.8737982784255781, + -0.8459456788575271, + -0.8322662086273268, + -0.8320138028792217, + -0.8441474111488197, + -0.8673609445088665, + -0.9001190522582222, + -0.9406978082187423, + -0.9872292736418713, + -1.0377488165603284, + -1.0902440082142335, + -1.1427038873031823, + -1.1931673829053773, + -1.239769716857721, + -1.280785665362795, + -1.3146686460182635, + -1.340084708112178, + -1.3559406380330215, + -1.3614055445967104, + -1.355925457120573, + -1.3392306479367146, + -1.311335576233603, + -1.2725315369965577, + -1.2233722827042448, + -1.1646530617329172, + -1.0973836817255864, + -1.022756354410566, + -0.9421092068239011, + -0.8568864494252415, + -0.7685962715992207, + -0.6787675875511691, + -0.5889067793759348, + -0.5004555785645722, + -0.4147511926138616, + -0.3329897206474856, + -0.25619381268035335, + -0.18518541366019928, + -0.1205642986109079, + -0.06269295252168727, + -0.011688181964549692, + 0.03258033098155308, + 0.07048450358600551, + 0.10262550949858032, + 0.12981494968531315, + 0.1530500388156579, + 0.1734834656458678, + 0.19238872612725103, + 0.2111218477692957, + 0.23108052015052633, + 0.253661716926864, + 0.2802189374220008, + 0.31202020977740497, + 0.3502079822969382, + 0.3957619853841341, + 0.449466074408162, + 0.5118799657177958, + 0.5833166562793537, + 0.6638261750702587, + 0.7531861549621716, + 0.8508995413585667, + 0.9561995726276228, + 1.0680619819367816, + 1.1852241851080612, + 1.3062110392290396, + 1.4293665865109833, + 1.5528910415879082, + 1.674882142064041, + 1.7933798651689836, + 1.9064134208684527, + 2.0120493660992222, + 2.108439647682042, + 2.1938683739394547, + 2.26679613739631, + 2.3259007627157864, + 2.3701134340374783, + 2.3986492622459545, + 2.411031482859655, + 2.4071086260465435, + 2.387064168080354, + 2.3514183542571243, + 2.301022072474936, + 2.2370428497002073, + 2.1609432356573337, + 2.074452024552398, + 1.9795289418749757, + 1.8783235849553033, + 1.7731295489820131, + 1.6663347910517796, + 1.5603693805114662, + 1.45765185196448, + 1.3605354161184007, + 1.271255292142807, + 1.1918784031171883, + 1.1242566239651843, + 1.0699846902154524, + 1.0303637679359834, + 1.0063715528524146, + 0.9986396131772893, + 1.0074385197614217, + 1.0326711229751993 + ], + [ + 1.0600578650444963, + 1.1125203195531947, + 1.1794252730780268, + 1.2594125732732473, + 1.350828478218138, + 1.451762183357966, + 1.560088091669138, + 1.6735128355029087, + 1.7896259472424687, + 1.9059529912571842, + 2.0200099136909273, + 2.129357340710968, + 2.2316535605649, + 2.324704959990393, + 2.406512750294092, + 2.4753149111362105, + 2.529622398417243, + 2.5682488037280695, + 2.5903328131068144, + 2.5953529883907662, + 2.58313458093652, + 2.5538482803215734, + 2.508000995102726, + 2.446418954026313, + 2.3702235995839622, + 2.2808009170083308, + 2.179764996540884, + 2.068916761327272, + 1.9501989043606625, + 1.8256481628408172, + 1.697346115138783, + 1.5673697129454982, + 1.4377427585599358, + 1.3103895048050653, + 1.1870914936536803, + 1.0694486609213414, + 0.9588456206353418, + 0.8564239068271183, + 0.7630607959743888, + 0.6793551640479996, + 0.6056206523646911, + 0.5418862307301245, + 0.48790405933449815, + 0.44316436721653907, + 0.4069168894271509, + 0.3781982416796558, + 0.35586446433070196, + 0.33862784063748086, + 0.3250969905176998, + 0.3138191630473149, + 0.3033236005669659, + 0.2921648257350251, + 0.27896471064177814, + 0.262452223927512, + 0.24149981674001292, + 0.21515549963285277, + 0.18266977779249677, + 0.14351674833552783, + 0.09740881735552555, + 0.044304662000922784, + -0.015589760132506287, + -0.08182717010533548, + -0.15373172885556557, + -0.2304182563095206, + -0.31081739516189427, + -0.3937060502583505, + -0.4777422957760117, + -0.5615038242972707, + -0.6435289174221762, + -0.7223588491811987, + -0.7965805929551324, + -0.864868690944236, + -0.9260251627896195, + -0.9790163763360231, + -1.023005877610123, + -1.0573822770476946, + -1.0817814123584155, + -1.096102152099315, + -1.1005153644517776, + -1.0954657488515, + -1.0816664096682556, + -1.0600862365171553, + -1.0319303403450226, + -0.9986139735260745, + -0.9617305312999586, + -0.9230143867127071, + -0.8842994478461136, + -0.8474744410588905, + -0.8144360142631738, + -0.7870408175810806, + -0.7670577533939273, + -0.7561215928481866, + -0.7556891310893712, + -0.7669989993724097, + -0.7910361699899624, + -0.8285020816145654, + -0.8797911807663451, + -0.9449745228849646, + -1.0237909076040155, + -1.1156458414206885, + -1.2196184314645144, + -1.3344761211474458, + -1.4586969868694417, + -1.5904991293816422, + -1.7278765184576272, + -1.8686404895214996, + -2.010465949800882, + -2.150941232923392, + -2.287620447622124, + -2.418077100703817, + -2.5399577383283307, + -2.6510343438960686, + -2.749254255641727, + -2.832786421839756, + -2.9000628950525518, + -2.9498145771051716, + -2.9811003607998083, + -2.9933289695474605, + -2.986272968337305, + -2.960074604609459, + -2.9152433311490915, + -2.852645060375938, + -2.7734833955678004, + -2.679273274859761, + -2.5718076436756423, + -2.453117936204642, + -2.325429292627985, + -2.1911115624847053, + -2.0526272428485606, + -1.91247757049951, + -1.7731480283235677, + -1.6370545367982479, + -1.5064915813960573, + -1.3835834765962498, + -1.2702398882030086, + -1.1681166297997665, + -1.0785826190545722, + -1.0026937284515582, + -0.9411740965910746, + -0.8944052846277014, + -0.8624234721686876, + -0.8449246927086173, + -0.8412779151931705, + -0.8505455903215524, + -0.8715111023056026, + -0.9027124033381112, + -0.9424809629538862, + -0.9889850413029632, + -1.0402761970570624, + -1.0943378695780686, + -1.149134832754403, + -1.2026623055031809, + -1.252993521549061, + -1.298324608186808, + -1.3370156990465978, + -1.3676273074451384, + -1.3889511121109135, + -1.4000344527259885, + -1.400197995137168, + -1.389046201154117, + -1.3664704211641991, + -1.33264461475012, + -1.2880138904131357, + -1.2332762357335059, + -1.1693579793446967, + -1.0973836817255866, + -1.0186412891615804, + -0.9345435008916299, + -0.8465863905930943, + -0.756306387729296, + -0.6652367603391847, + -0.5748647477407576, + -0.48659046923961546, + -0.40168868390545504, + -0.3212743981464251, + -0.24627321420185064, + -0.1773971864499375, + -0.11512680681662658, + -0.059699579287875636, + -0.011105470675585715, + 0.030910655238893414, + 0.06683969568778718, + 0.09739231512364689, + 0.1234767297209215, + 0.14617086318121694, + 0.16668961461351686, + 0.18634810809052635, + 0.20652190009827948, + 0.22860520277552898, + 0.2539682354861224, + 0.28391484346531803, + 0.31964151932898444, + 0.36219893116546875, + 0.41245700050924866, + 0.47107448620351144, + 0.5384739181534303, + 0.6148225910354538, + 0.7000201754982571, + 0.7936933370778607, + 0.8951975751404423, + 1.0036263101217964, + 1.1178270617750121, + 1.2364243787363336, + 1.3578490050722267, + 1.4803726069924779, + 1.6021472367227196, + 1.7212485843447063, + 1.8357219654619246, + 1.943629915485853, + 2.043100212178514, + 2.132373128153063, + 2.2098467249235543, + 2.2741190396637703, + 2.3240260842008964, + 2.3586746713323032, + 2.377469204032709, + 2.380131705610954, + 2.3667145299244603, + 2.3376053664406893, + 2.2935243409538644, + 2.235513204561268, + 2.1649167963636007, + 2.083357154529047, + 1.9927008311831338, + 1.8950201345851887, + 1.7925491730638412, + 1.6876357054566327, + 1.5826899090843816, + 1.48013125592599, + 1.3823347386327083, + 1.2915777090223086, + 1.2099885821478147, + 1.1394986191166712, + 1.0817979324649718, + 1.0382967607116098, + 1.0100929360571285, + 0.9979463240064826, + 1.0022608494943792, + 1.023074544853993, + 1.060057865044497 + ], + [ + 1.0953969429041845, + 1.1586691290904556, + 1.2355415549898157, + 1.324463304365809, + 1.4236115400330105, + 1.530931646639315, + 1.6441825392911598, + 1.7609860769135177, + 1.8788794233582093, + 1.9953691313499675, + 2.1079856860177038, + 2.214337236901627, + 2.3121612701107037, + 2.3993730251346297, + 2.4741095423593467, + 2.5347683355625366, + 2.580039815890837, + 2.6089327467741983, + 2.620792179141203, + 2.6153094989778842, + 2.592524410230313, + 2.5528188706003903, + 2.4969031911570765, + 2.4257946981513445, + 2.340789532406065, + 2.243428323842284, + 2.1354566221643876, + 2.018781085991296, + 1.8954225288769757, + 1.7674669894245574, + 1.6370160324594603, + 1.5061374981034037, + 1.3768178954396326, + 1.2509175878798742, + 1.130129839663339, + 1.0159446891581434, + 0.9096184874595582, + 0.8121497934258123, + 0.7242621524933907, + 0.64639411050275, + 0.5786966297720709, + 0.521037887397567, + 0.47301524992163174, + 0.43397403873697343, + 0.40303253136701545, + 0.3791124892886841, + 0.3609743670748603, + 0.34725624368937913, + 0.336515427571375, + 0.32727162487697864, + 0.3180505264054142, + 0.3074266641086608, + 0.29406441272020156, + 0.276756065255364, + 0.2544559915328994, + 0.2263099943629113, + 0.19167910592959694, + 0.15015721389771464, + 0.10158206914032052, + 0.04603940058939471, + -0.01613995686252288, + -0.08438983281499447, + -0.15792512130237, + -0.23576436806484824, + -0.316757941060046, + -0.3996210336842932, + -0.4829706229357441, + -0.5653653999592432, + -0.6453476107404702, + -0.7214856922073042, + -0.7924165650094109, + -0.8568864494252408, + -0.9137891050972011, + -0.9622004577970427, + -1.0014086656386725, + -1.0309387908750047, + -1.050571378809989, + -1.0603543990488724, + -1.0606081724561656, + -1.0519230855799198, + -1.0351500784566001, + -1.0113840770045575, + -0.9819407229802565, + -0.9483269281240398, + -0.912205940269658, + -0.8753577537464994, + -0.8396358206844642, + -0.806921120657201, + -0.7790747208667341, + -0.7578900058239645, + -0.7450457729513817, + -0.7420613781905304, + -0.7502550737424051, + -0.7707066094468497, + -0.8042250716751567, + -0.8513228113014192, + -0.912196168284151, + -0.9867135381273094, + -1.0744111489560735, + -1.174496731457221, + -1.2858610720717665, + -1.4070972473070877, + -1.536527148601709, + -1.672234727481007, + -1.8121052242342555, + -1.9538694941516317, + -2.0951524171964624, + -2.2335242730516907, + -2.3665538863795526, + -2.491862298822361, + -2.6071757059970255, + -2.710376410008356, + -2.7995505805867062, + -2.873031689861261, + -2.929438585306143, + -2.9677072901591073, + -2.9871157676057445, + -2.987301050693062, + -2.9682683202709796, + -2.9303917038827865, + -2.874406764805591, + -2.801394847608113, + -2.7127596398512996, + -2.610196494207477, + -2.4956552268261754, + -2.371297262060439, + -2.2394481269403483, + -2.1025464078098315, + -1.9630903636924453, + -1.8235834442447423, + -1.6864799833224615, + -1.5541323316946813, + -1.4287406545142247, + -1.3123065517550392, + -1.2065915646458174, + -1.113081510529765, + -1.0329574455495152, + -0.9670738926263616, + -0.9159447953654444, + -0.8797374711248193, + -0.8582746431400365, + -0.8510444370392264, + -0.8572180360807503, + -0.8756745066638143, + -0.9050321355588741, + -0.9436854670148932, + -0.9898470951379498, + -1.0415931578995083, + -1.0969113964306294, + -1.1537505888416628, + -1.2100701429243819, + -1.263888637260419, + -1.3133301352472606, + -1.3566671603940266, + -1.3923593122541238, + -1.4190866182010253, + -1.4357768539566738, + -1.4416262218526383, + -1.4361129462973738, + -1.4190035265436778, + -1.390351573061417, + -1.3504893409551222, + -1.3000122572445805, + -1.2397569138732005, + -1.1707731606652303, + -1.0942910780863337, + -1.0116837349660284, + -0.9244267382240314, + -0.8340556576063446, + -0.7421224566356174, + -0.6501520802676517, + -0.559600339702123, + -0.47181419573840455, + -0.38799547504176646, + -0.3091689604383356, + -0.2361556792922656, + -0.1695520761360762, + -0.10971560054582681, + -0.0567570727298778, + -0.01054001171993931, + 0.029313071072240716, + 0.06340759221575512, + 0.09255738716916755, + 0.11775929651329263, + 0.1401625269611322, + 0.16103360387516177, + 0.18171784840827845, + 0.20359840491330938, + 0.22805391057082977, + 0.2564159375591606, + 0.2899273475295351, + 0.3297026783772745, + 0.37669163477544865, + 0.4316466778442786, + 0.49509560754615206, + 0.5673199064496939, + 0.6483394685099476, + 0.737904175087173, + 0.8354926066137262, + 0.9403179964748022, + 1.0513413483607752, + 1.1672914542385247, + 1.2866913718163961, + 1.4078907524453224, + 1.5291032570603194, + 1.6484481629182481, + 1.7639951509714884, + 1.8738111756348783, + 1.9760082577421387, + 2.0687910092638147, + 2.1505026957745317, + 2.2196686698792067, + 2.2750360652598745, + 2.3156087253830373, + 2.340676451210208, + 2.349837785831191, + 2.343015707556543, + 2.320465772924243, + 2.28277643314434, + 2.230861437263588, + 2.165944428118257, + 2.089536028211504, + 2.003403897288216, + 1.9095364170211329, + 1.8101008165650307, + 1.7073966918479984, + 1.6038059878842426, + 1.501740604198332, + 1.4035888463580355, + 1.311661980017379, + 1.2281421468909834, + 1.1550328745784222, + 1.0941133547462751, + 1.0468975782039192, + 1.014599302927367, + 0.9981036947967393, + 0.9979463240064822, + 1.014300026578958, + 1.0469699543687245, + 1.0953969429041854 + ], + [ + 1.1383893719644553, + 1.211930131509987, + 1.2981021173398788, + 1.3951767828998438, + 1.5011776379574104, + 1.6139236675854867, + 1.7310772958966585, + 1.8501957728350045, + 1.9687847827063516, + 2.08435302250538, + 2.194466477685247, + 2.296801133278758, + 2.389192898934018, + 2.4696835964425774, + 2.536561955966396, + 2.588398689988861, + 2.624074858987152, + 2.642802906371722, + 2.644139918335839, + 2.6279928525251117, + 2.5946156732519405, + 2.544598525592111, + 2.4788492713482237, + 2.3985678918910365, + 2.3052144318595986, + 2.2004713095086497, + 2.086200950462405, + 1.9643998086137755, + 1.8371499183419682, + 1.7065691742143003, + 1.5747615567017565, + 1.4437685147188242, + 1.3155226782881908, + 1.1918050083580958, + 1.0742063975031453, + 0.9640946173222008, + 0.8625873688193092, + 0.7705320344544632, + 0.68849255886035, + 0.6167437037604968, + 0.5552727359480628, + 0.5037884199674791, + 0.4617370040609613, + 0.42832471356314983, + 0.40254610458764883, + 0.383217486552181, + 0.36901449840394623, + 0.3585128233804178, + 0.35023095322249986, + 0.3426738667376323, + 0.3343764705788977, + 0.32394566242259826, + 0.3100999180144509, + 0.2917053727100111, + 0.2678074633563053, + 0.23765731519415845, + 0.20073219785880736, + 0.1567495309603379, + 0.10567408915079006, + 0.04771823472237301, + -0.016664811894584564, + -0.08679447148316069, + -0.1617827061656484, + -0.24055978394866329, + -0.32190521784319254, + -0.4044830539142996, + -0.48688056795550133, + -0.5676493398850104, + -0.6453476107404703, + -0.7185827909573249, + -0.7860529814001039, + -0.8465863905930936, + -0.8991775822493479, + -0.9430195652846071, + -0.9775308420932546, + -1.00237665738092, + -1.0174838361364598, + -1.0230487617273332, + -1.019538219548739, + -1.0076830137714086, + -0.9884644499388046, + -0.9630939597994146, + -0.9329863221923926, + -0.8997271005502753, + -0.8650350694151933, + -0.830720535423857, + -0.7986405691022594, + -0.770652249671636, + -0.7485650836691269, + -0.7340937879727922, + -0.7288126279486284, + -0.7341124718026061, + -0.7511616634598679, + -0.7808717297691405, + -0.8238688255997827, + -0.8804716851619628, + -0.9506766929151198, + -1.0341505165109977, + -1.1302305615239914, + -1.2379333177336511, + -1.355970474112122, + -1.4827724891787548, + -1.6165191197183613, + -1.755176238562155, + -1.896538115475047, + -2.0382741980733776, + -2.177979315535431, + -2.313226139523378, + -2.441618676440651, + -2.560845534447125, + -2.668731708363677, + -2.7632876557906383, + -2.8427544977637074, + -2.905644265667029, + -2.9507742308072142, + -2.9772944912689634, + -2.984708149086164, + -2.9728835855384146, + -2.9420585292834422, + -2.8928358065230277, + -2.826170859747072, + -2.743351317008912, + -2.6459690824016757, + -2.5358855958405426, + -2.41519107209442, + -2.2861586713202047, + -2.151194672679118, + -2.0127858160666587, + -1.8734450423089504, + -1.7356568978018985, + -1.6018238746563591, + -1.4742149318723654, + -1.3549173875573495, + -1.245793288120645, + -1.1484412498109784, + -1.0641646336537047, + -0.9939467601076512, + -0.9384336984116388, + -0.8979249818442855, + -0.8723724084920771, + -0.8613868923105735, + -0.8642531360431022, + -0.8799517106543708, + -0.9071879499027877, + -0.9444269077988712, + -0.9899334848799841, + -1.0418167098987168, + -1.0980770695365265, + -1.1566557123481525, + -1.2154843158615791, + -1.272534398426589, + -1.3258648801029995, + -1.3736667489454601, + -1.4143037690873974, + -1.4463482729743675, + -1.468611209231326, + -1.4801657666845538, + -1.4803640602256696, + -1.4688465413388123, + -1.445543980760615, + -1.4106720582769736, + -1.3647187803900833, + -1.3084251258781752, + -1.2427594876537271, + -1.1688866326201697, + -1.0881320356340352, + -1.0019425558807333, + -0.9118445112111613, + -0.8194002661362818, + -0.726164480793539, + -0.6336411705558712, + -0.5432426990592616, + -0.4562517720210995, + -0.37378741676603044, + -0.2967758250040007, + -0.2259268068751702, + -0.16171645590182354, + -0.10437646105215832, + -0.05389032778467385, + -0.009996589136248344, + 0.02780109476655994, + 0.06021723031832727, + 0.088161631313467, + 0.1127110221345312, + 0.13507586339862873, + 0.15656328584102316, + 0.17853712117263548, + 0.20237609630654682, + 0.229431307717943, + 0.2609841144788426, + 0.29820558110957945, + 0.3421185649640005, + 0.39356347829631444, + 0.4531686640355417, + 0.5213262088798438, + 0.5981738804926415, + 0.6835837207528409, + 0.7771576580577787, + 0.8782303228351093, + 0.9858790661799343, + 1.0989409965297565, + 1.216036668184185, + 1.335599882840718, + 1.4559129055214013, + 1.5751462533640637, + 1.6914020933874714, + 1.8027601866476823, + 1.9073252437342167, + 2.003274512210452, + 2.088904401586564, + 2.162674966200648, + 2.2232511107076074, + 2.2695394557331214, + 2.300719900926706, + 2.316271046757713, + 2.315988781942747, + 2.2999975068351453, + 2.2687536404579145, + 2.22304124577737, + 2.1639597997068063, + 2.092904326474842, + 2.01153830065267, + 1.9217599046703622, + 1.8256623906425398, + 1.7254894436713821, + 1.6235865698307985, + 1.5223496336088922, + 1.424171744142946, + 1.3313897352283823, + 1.2462314996361656, + 1.170765423284981, + 1.1068531195884082, + 1.0561065898796402, + 1.019850833971669, + 0.9990928080788001, + 0.9944974785610722, + 1.0063715528524138, + 1.0346552875450998, + 1.0789225823283255, + 1.1383893719644567 + ], + [ + 1.1886714168211636, + 1.2718527146304417, + 1.366577669461758, + 1.4709547408487404, + 1.5828705277038384, + 1.7000360961449599, + 1.8200371925244263, + 1.9403871688720264, + 2.0585813852641732, + 2.172151820738579, + 2.2787206220630454, + 2.3760513479636725, + 2.4620967245977887, + 2.5350418146650746, + 2.5933416154360853, + 2.6357522373487248, + 2.6613549713155087, + 2.6695727256440245, + 2.6601784982521637, + 2.6332957421221566, + 2.589390676969932, + 2.529256793135253, + 2.453991980007243, + 2.364968886346621, + 2.263799279393102, + 2.1522933097869608, + 2.032414706705982, + 1.9062330194091326, + 1.7758740854094222, + 1.6434699402833002, + 1.511109388901053, + 1.3807904326134783, + 1.254375692379112, + 1.1335518854112303, + 1.0197943047994207, + 0.9143371204836704, + 0.8181501692601147, + 0.7319227349862194, + 0.6560546420233275, + 0.5906547996792408, + 0.5355471476338503, + 0.4902837667397923, + 0.4541647408159325, + 0.4262641875423878, + 0.405461724479715, + 0.3904785033357652, + 0.3799168351687151, + 0.37230234395275047, + 0.3661275279177199, + 0.35989557869354083, + 0.35216330821213493, + 0.34158206247616996, + 0.32693555889358783, + 0.30717366838574817, + 0.28144127271699465, + 0.24910145865764063, + 0.20975246032583617, + 0.16323792553799044, + 0.1096502570459855, + 0.04932696070341159, + -0.017159884717620488, + -0.08902074177859004, + -0.16527184653188037, + -0.24476393257263823, + -0.3262156772205791, + -0.40825097605713484, + -0.48943905093114615, + -0.5683363209093062, + -0.6435289174221763, + -0.7136747052894136, + -0.7775436809241006, + -0.8340556576063438, + -0.882314214341142, + -0.9216359778288241, + -0.9515744241659012, + -0.9719375251393129, + -0.9827987199211293, + -0.9845008627074299, + -0.9776529761154602, + -0.9631198244523274, + -0.9420045056576163, + -0.9156244411448098, + -0.8854813143642156, + -0.8532256673377266, + -0.8206170056490554, + -0.7894803828103614, + -0.7616605314784483, + -0.7389746791625847, + -0.7231652280068119, + -0.7158534907984963, + -0.7184956581379724, + -0.7323421250293763, + -0.7584012300825137, + -0.7974083588215858, + -0.8498012367167381, + -0.9157020905333207, + -0.9949071920082377, + -1.0868841197334258, + -1.190776887818872, + -1.3054188980247008, + -1.4293534803194532, + -1.5608615999727753, + -1.6979961319469725, + -1.8386219399098809, + -1.980460851713785, + -2.121140499297994, + -2.258245891778243, + -2.3893725184825985, + -2.5121797357142985, + -2.624443178189453, + -2.724104953793856, + -2.809320428160986, + -2.878500482483419, + -2.930348232108386, + -2.963889322340339, + -2.9784950683750924, + -2.973897874783204, + -2.9501985523627026, + -2.9078653420665126, + -2.8477246524160837, + -2.7709437135573247, + -2.6790055431121975, + -2.573676801558025, + -2.4569692835852077, + -2.331095942639853, + -2.1984224749872534, + -2.0614155940024883, + -1.9225892024784648, + -1.784449718681951, + -1.6494418295411002, + -1.5198959313119011, + -1.3979784746968327, + -1.2856463587692954, + -1.1846064180010092, + -1.096280921675312, + -1.0217798580850963, + -0.9618806107803548, + -0.9170154548102823, + -0.8872671118040447, + -0.8723724084920768, + -0.8717338886440068, + -0.8844390381496668, + -0.9092866017400336, + -0.9448193020486753, + -0.9893621214261057, + -1.0410651777747786, + -1.097950120778792, + -1.157958896762307, + -1.2190036808623577, + -1.2790167553723988, + -1.3359991233940782, + -1.3880666869719047, + -1.4334928875891442, + -1.470746802476512, + -1.4985258101693524, + -1.5157820800857909, + -1.5217423000066637, + -1.5159202282033746, + -1.498121839235312, + -1.4684430195525613, + -1.4272599563108204, + -1.3752125455584894, + -1.3131813196384132, + -1.2422585539422217, + -1.1637143560904395, + -1.0789586626548358, + -0.9895001666886906, + -0.8969032711870707, + -0.8027442074263831, + -0.7085674718997514, + -0.6158437209712764, + -0.5259302188539289, + -0.4400348632344259, + -0.35918471568047944, + -0.28419984337715254, + -0.21567313783983055, + -0.15395661864001994, + -0.09915455987172572, + -0.051123598411717056, + -0.009479800525472365, + 0.02638751832557423, + 0.05729560190081107, + 0.08424223764018676, + 0.10837461727025167, + 0.13095390796918685, + 0.15331648142451176, + 0.17683283677530653, + 0.20286531556190612, + 0.23272574081372477, + 0.2676341174013044, + 0.30867950660342064, + 0.3567841350703858, + 0.4126717182972833, + 0.4768408733410499, + 0.5495443674478211, + 0.6307748017002877, + 0.7202571654419528, + 0.8174485221817391, + 0.9215449053237399, + 1.0314953169895136, + 1.146022540066144, + 1.2636502970445518, + 1.3827361236746798, + 1.50150917515517, + 1.6181120513202876, + 1.7306456184417445, + 1.8372157216300893, + 1.9359806255785312, + 2.025197994039871, + 2.103270220746298, + 2.1687869565155924, + 2.2205637383382735, + 2.257675714887351, + 2.2794855770240736, + 2.285664938740058, + 2.2762085702571175, + 2.2514410568908163, + 2.2120156405661477, + 2.1589051910553834, + 2.093385446410581, + 2.017010851941949, + 1.93158350975662, + 1.8391159217973594, + 1.74178836426394, + 1.641901866406006, + 1.5418278785690196, + 1.4439558002471653, + 1.3506395965746005, + 1.264144759687658, + 1.1865968689607238, + 1.1199329712492678, + 1.0658569397065758, + 1.0257998789457956, + 1.000886527463216, + 0.9919084681290972, + 0.9993047975713127, + 1.0231507292957807, + 1.063154417674174, + 1.1186620950415285, + 1.1886714168211643 + ], + [ + 1.2458176686219353, + 1.3379299062833419, + 1.4403888771989604, + 1.5511560623983327, + 1.667999050458584, + 1.788540382205801, + 1.9103095881941787, + 2.0307972050020364, + 2.147509511140606, + 2.258022708487099, + 2.3600352909642264, + 2.4514173882790034, + 2.5302559477475413, + 2.5948947197010277, + 2.643968139156213, + 2.6764283452037385, + 2.6915647462561663, + 2.6890157198065796, + 2.6687722252465433, + 2.631173302923442, + 2.576893627217172, + 2.506923471228616, + 2.4225416210669315, + 2.325281944308728, + 2.2168944659370147, + 2.0993019323556568, + 1.9745529468558496, + 1.8447728357348114, + 1.7121134513535785, + 1.5787031357033419, + 1.4465980551998796, + 1.3177360748598874, + 1.1938942688825163, + 1.0766510668192493, + 0.9673539124781914, + 0.8670931695813309, + 0.7766828475983083, + 0.6966485471654894, + 0.6272228414370893, + 0.5683481221928744, + 0.5196867522325029, + 0.48063818319173846, + 0.45036252496008694, + 0.4278098936572218, + 0.411754723579594, + 0.40083410815179993, + 0.3935891386667731, + 0.38850813982250565, + 0.3840706594418309, + 0.3787910572686434, + 0.3712605546101123, + 0.36018665234435987, + 0.34442889821756056, + 0.3230300835016748, + 0.29524207141840697, + 0.2605456021211228, + 0.21866357782849669, + 0.16956750287651304, + 0.11347693264627678, + 0.05085196798275403, + -0.017620986791524757, + -0.0910498084471844, + -0.1683630226947136, + -0.2483412449370153, + -0.3296528507553677, + -0.41089292178646597, + -0.4906244259389776, + -0.5674205308618022, + -0.6399069177540293, + -0.7068029598292547, + -0.7669606561139303, + -0.8194002661362813, + -0.8633416730958478, + -0.8982306102557545, + -0.9237590148976917, + -0.9398789229828122, + -0.9468094819423744, + -0.945036834657996, + -0.9353068102690638, + -0.9186105423693887, + -0.8961633177650203, + -0.8693771346487629, + -0.8398276133582129, + -0.8092160516535145, + -0.7793275458901092, + -0.7519862062585045, + -0.7290085756649854, + -0.712156415710818, + -0.7030900481522583, + -0.7033234354689996, + -0.7141821497524943, + -0.736765315805634, + -0.7719125236007731, + -0.8201765892394922, + -0.8818029050934234, + -0.9567159622441105, + -1.044513455526648, + -1.1444681976491047, + -1.2555378785227362, + -1.3763825137835282, + -1.505389237255057, + -1.640703910476106, + -1.7802688528953199, + -1.9218658431311662, + -2.0631634086264192, + -2.2017673114196925, + -2.335273054368838, + -2.461319177106727, + -2.577640085709796, + -2.682117165205023, + -2.77282695957454, + -2.848085269035079, + -2.9064861075398696, + -2.946934582450565, + -2.968672900296498, + -2.9712988640519105, + -2.954776404509171, + -2.9194378768116884, + -2.86597804845664, + -2.795439902338729, + -2.709192572883683, + -2.6089019202819363, + -2.496494422728914, + -2.37411522515319, + -2.2440813213111404, + -2.108830960983644, + -1.97087046254156, + -1.832719671210639, + -1.6968573335201746, + -1.5656676579525974, + -1.4413893007625993, + -1.3260679550931787, + -1.221513632399108, + -1.129263610004718, + -1.0505518802176637, + -0.9862857782045796, + -0.937030291701033, + -0.9030003698550255, + -0.8840613556480043, + -0.8797374711248185, + -0.8892280918692866, + -0.9114313614928742, + -0.9449745228849649, + -0.9882501848339418, + -1.0394576041998753, + -1.0966479484400313, + -1.1577724137214718, + -1.2207320122216836, + -1.2834278099468377, + -1.3438103941871036, + -1.399927377535509, + -1.4499678024343845, + -1.49230239497375, + -1.5255187269581343, + -1.5484504782638036, + -1.5602001438519286, + -1.5601546976375023, + -1.5479939045153122, + -1.5236911577194454, + -1.4875069066894036, + -1.4399749260394819, + -1.381881854458533, + -1.3142405989738806, + -1.238258350864559, + -1.1553000908759634, + -1.066848570035138, + -0.9744618356327106, + -0.879729427803352, + -0.7842283992702865, + -0.6894803086122335, + -0.5969103059907909, + -0.5078093705026484, + -0.423300671764954, + -0.3443109172440947, + -0.27154741405305083, + -0.20548142286612378, + -0.14633821608526662, + -0.09409407665145272, + -0.04848029239346199, + -0.008994018153108053, + 0.025084301245624958, + 0.05466742526167066, + 0.08083236599334857, + 0.10478676986785147, + 0.12783153428094576, + 0.15132066006018702, + 0.17661941423349048, + 0.20506192366311257, + 0.23790933746343676, + 0.2763096842926613, + 0.3212605098618755, + 0.3735753113370843, + 0.4338546904213698, + 0.5024630281582819, + 0.5795113448597364, + 0.6648468515271302, + 0.7580495286402903, + 0.8584358885167419, + 0.9650698931116921, + 1.0767808147801028, + 1.1921876478069782, + 1.3097295079740539, + 1.4277013003914336, + 1.544293796272975, + 1.6576371408360353, + 1.7658467201012105, + 1.8670702465014501, + 1.9595348836707103, + 2.0415932206536276, + 2.111766925412318, + 2.168786956515592, + 2.211629289157501, + 2.2395452153385227, + 2.252085405663997, + 2.2491170686804933, + 2.2308337093659207, + 2.197757167262138, + 2.150731802402264, + 2.090910889023224, + 2.0197354683390683, + 1.9389060976563146, + 1.850348109234291, + 1.756171154161142, + 1.6586239501019393, + 1.5600452734963772, + 1.4628123335869658, + 1.3692877351029287, + 1.281766276735401, + 1.202422842657636, + 1.1332626239515453, + 1.0760748563300209, + 1.0323911811657083, + 1.0034496304331848, + 0.9901651052930716, + 0.9931070658451838, + 1.0124849797332973, + 1.0481418939112082, + 1.09955630142928, + 1.1658522782484455, + 1.2458176686219362 + ], + [ + 1.3093446442175627, + 1.4096026635270336, + 1.518911264334077, + 1.6351022080767998, + 1.7558429803980464, + 1.8786877394592902, + 2.001130737589825, + 2.120660971408367, + 2.2348167881503014, + 2.3412391791835696, + 2.4377225254945794, + 2.522261623420161, + 2.593093910513029, + 2.6487359288900834, + 2.688013203827341, + 2.7100828752753, + 2.7144485954430473, + 2.700967392330717, + 2.6698483924999006, + 2.6216434917250044, + 2.5572302546895473, + 2.477787509881473, + 2.384764278795374, + 2.2798428352655433, + 2.1648968274378433, + 2.0419455082466786, + 1.913105207583085, + 1.7805392385557461, + 1.6464074599905645, + 1.5128167169484854, + 1.381773350673059, + 1.2551389098570678, + 1.1345901080093401, + 1.0215839592553537, + 0.917328889988043, + 0.8227624698179469, + 0.7385362361393257, + 0.6650079065829887, + 0.6022410871811339, + 0.5500123958868184, + 0.5078257358660263, + 0.4749332753248104, + 0.4503625249600869, + 0.43294875453447995, + 0.4213718602672864, + 0.41419668789757697, + 0.4099157350237387, + 0.40699310262341903, + 0.40390854078277955, + 0.3992004381638932, + 0.3915066384267006, + 0.37960202877821064, + 0.3624319344198619, + 0.3391404656108006, + 0.3090930984585957, + 0.27189292295236994, + 0.22739015828039, + 0.17568471188745557, + 0.11712174054449513, + 0.05228035430874343, + -0.018044216984101077, + -0.0928645046667643, + -0.1710300819050373, + -0.25126145536043953, + -0.33218765840411546, + -0.412386539045929, + -0.4904266641700412, + -0.5649097177407002, + -0.6345122554921953, + -0.6980256926529416, + -0.7543934441483604, + -0.8027442074263824, + -0.8424204747975734, + -0.873001482566115, + -0.8943199452376513, + -0.9064720811923448, + -0.9098206074388107, + -0.9049905611140053, + -0.8928579897344688, + -0.874531736189694, + -0.8513287234539615, + -0.8247433134513753, + -0.7964114701434305, + -0.7680705947609037, + -0.7415160176516092, + -0.7185552234682235, + -0.700960951983232, + -0.6904243539605404, + -0.6885093892111581, + -0.6966096319223045, + -0.71590859702502, + -0.7473446219358949, + -0.7915812323575515, + -0.8489837914907825, + -0.9196030821344519, + -1.0031663043806704, + -1.0990757920338943, + -1.206415562901775, + -1.323965626349546, + -1.4502237807094145, + -1.583434448008686, + -1.7216239186128315, + -1.862641218115349, + -2.004203667136466, + -2.1439460851581345, + -2.279472495123875, + -2.4084091186565146, + -2.5284574141075695, + -2.637445902245035, + -2.733379547465906, + -2.814485515489868, + -2.8792542103178307, + -2.926474601881441, + -2.9552629886642614, + -2.965084493441589, + -2.9557667614443095, + -2.9275055145551474, + -2.880861808119897, + -2.816751033911981, + -2.736423908935738, + -2.641439880318957, + -2.5336335568895207, + -2.4150749437646635, + -2.288024403370715, + -2.1548833911792875, + -2.018142114058468, + -1.8803253310806316, + -1.7439375591641342, + -1.6114089580380966, + -1.4850431504362747, + -1.3669681846275556, + -1.2590917685971315, + -1.163061800332269, + -1.0802330893303267, + -1.0116410138213927, + -0.9579826899891986, + -0.9196060478139946, + -0.8965070175064879, + -0.8883348355238653, + -0.8944052846277003, + -0.9137214931109096, + -0.945001738803075, + -0.9867135381273097, + -1.0371131533375249, + -1.094289525667449, + -1.1562115414844243, + -1.2207774650585652, + -1.2858653269527116, + -1.3493830423172866, + -1.4093170488018654, + -1.4637782988929795, + -1.5110445150430527, + -1.5495977160551984, + -1.5781561472665713, + -1.5956998919744723, + -1.6014896036108746, + -1.5950779733113047, + -1.5763137313463798, + -1.5453381687865877, + -1.502574353059457, + -1.448709393065464, + -1.3846702817190226, + -1.3115940019020698, + -1.2307927219488883, + -1.1437150254679542, + -1.0519042146383843, + -0.956954793798449, + -0.8604682795462838, + -0.7640094937834916, + -0.6690644769694374, + -0.5770011108726176, + -0.4890334645822494, + -0.4061907764448234, + -0.3292918605221187, + -0.25892558230906715, + -0.1954378884745311, + -0.13892570337054327, + -0.08923782536927759, + -0.0459827732949327, + -0.008543351957844638, + 0.02390246933292095, + 0.052354935964536664, + 0.07796086543006923, + 0.10197783473987435, + 0.12573515902819812, + 0.1505927072999106, + 0.17789865919846587, + 0.20894733631165355, + 0.24493824209381818, + 0.28693741593127375, + 0.33584214990440847, + 0.39235003281478575, + 0.456933177139, + 0.5298183534633265, + 0.6109736069264732, + 0.7001017650138559, + 0.7966410698539563, + 0.8997729853965979, + 1.0084370451069982, + 1.1213524237484715, + 1.2370457420508227, + 1.3538844499971467, + 1.4701149872489832, + 1.583904791619901, + 1.693387121768697, + 1.7967075811171502, + 1.8920711784720274, + 1.977788738328871, + 2.052321481015646, + 2.1143226296183473, + 2.162674966200648, + 2.1965233526482426, + 2.215301349316964, + 2.2187512046949016, + 2.2069366480978245, + 2.180248091124653, + 2.139400027947602, + 2.085420614968384, + 2.0196336022438564, + 1.943632977633742, + 1.8592508651820006, + 1.7685193873335394, + 1.6736273520288483, + 1.5768727567326686, + 1.4806122087590428, + 1.3872084421501283, + 1.2989771637949814, + 1.218134484076719, + 1.1467461794858758, + 1.0866799964554297, + 1.0395621380254765, + 1.00673897942649, + 0.9892449375578266, + 0.9877772755442921, + 1.0026784605480104, + 1.033926514741835, + 1.081133610137419, + 1.1435529624018115, + 1.2200938816453444, + 1.3093446442175638 + ], + [ + 1.3787148766482227, + 1.4862646024029431, + 1.601480495940159, + 1.7220829555056376, + 1.845659118125107, + 1.9697154804709185, + 2.09173225269044, + 2.209218179963403, + 2.319764557222763, + 2.4210971838300157, + 2.5111250564961027, + 2.58798467910047, + 2.650078975294754, + 2.6961099212390778, + 2.7251041682717343, + 2.7364310950101554, + 2.7298129111569716, + 2.70532662665869, + 2.6633978951503003, + 2.6047869350418718, + 2.5305669204164203, + 2.442095412510994, + 2.3409795666026305, + 2.229035994641004, + 2.1082462874464913, + 1.9807092987620656, + 1.8485913645673555, + 1.7140756731701063, + 1.5793120137396124, + 1.4463681129353418, + 1.3171837216544013, + 1.1935285379464837, + 1.076964949796009, + 0.9688164553676846, + 0.8701424716558231, + 0.7817200789733877, + 0.7040330724776485, + 0.6372685073755983, + 0.581320736200839, + 0.5358027493026327, + 0.5000644481000521, + 0.4732173092410623, + 0.4541647408159325, + 0.44163729308577965, + 0.43423176921461026, + 0.4304531891018106, + 0.42875849384656295, + 0.42760084120565384, + 0.4254733344876777, + 0.42095104878156625, + 0.4127302686313541, + 0.39966392890753366, + 0.3807923536677535, + 0.3553685135904513, + 0.3228771678811396, + 0.28304741768242847, + 0.23585837086207023, + 0.18153779821451674, + 0.1205538440165272, + 0.05360003488670974, + -0.0184259945764064, + -0.0944494772861527, + -0.17325045963507413, + -0.2534998575413185, + -0.33379865454710034, + -0.41271919115763933, + -0.48884743877839043, + -0.5608251241611606, + -0.6273905719205217, + -0.6874171634125446, + -0.7399483693273478, + -0.7842283992702859, + -0.8197276222508724, + -0.8461620445964707, + -0.8635062830364346, + -0.871999636766226, + -0.8721450390263948, + -0.8647008516707854, + -0.8506656507417083, + -0.8312563325594111, + -0.8078800436801966, + -0.7821005998770116, + -0.7556002049374944, + -0.7301374058437369, + -0.7075023235723645, + -0.6894702756816165, + -0.6777549560212296, + -0.6739623569880293, + -0.679546610155976, + -0.695768881974447, + -0.7236603934303973, + -0.7639905377031069, + -0.8172409501765745, + -0.8835862436090031, + -0.9628819612372814, + -1.0546601260295054, + -1.1581325794733865, + -1.2722021127498968, + -1.395481201588778, + -1.5263179682706118, + -1.6628288147815038, + -1.8029370044973936, + -1.944416320123379, + -2.084938796676405, + -2.2221254233108945, + -2.353598629394407, + -2.477035320442953, + -2.5902192096197, + -2.691091201049687, + -2.777796622021684, + -2.8487281713060844, + -2.9025635486618837, + -2.938296853801108, + -2.955262988664262, + -2.953154461321378, + -2.932030169168708, + -2.8923159289903637, + -2.8347967172843327, + -2.76060078125106, + -2.6711759742163417, + -2.5682588543006855, + -2.4538372573485736, + -2.3301072103000435, + -2.199425185546602, + -2.064256807095734, + -1.9271232028938852, + -1.7905462524040021, + -1.6569940031812276, + -1.5288275241581257, + -1.4082504268087248, + -1.2972622192252128, + -1.197616564053518, + -1.1107853915178187, + -1.0379296763693042, + -0.9798775260235787, + -0.9371100503725488, + -0.9097552961070838, + -0.8975903344638136, + -0.9000513958581063, + -0.9162517526612265, + -0.9450068671109815, + -0.9848661494974561, + -1.0341505165109977, + -1.0909948047351392, + -1.153393982961484, + -1.2192520219579683, + -1.2864322235456491, + -1.3528077836396055, + -1.4163113668627672, + -1.4749825032765433, + -1.5270116797789344, + -1.5707800881717116, + -1.604894106490712, + -1.6282137270073096, + -1.6398742998807623, + -1.6393011318493749, + -1.626216660312908, + -1.6006401101467183, + -1.5628797289277268, + -1.513517881248333, + -1.4533894598453356, + -1.3835542359835569, + -1.3052639198318075, + -1.2199248297940724, + -1.1290571747620655, + -1.034252032473629, + -0.9371271586818505, + -0.8392827844458903, + -0.7422585520555753, + -0.6474927041453303, + -0.5562845764164698, + -0.469761353753013, + -0.38884993473075846, + -0.31425461353062006, + -0.24644113455319952, + -0.18562750751075655, + -0.13178179370761675, + -0.0846268921085263, + -0.04365217125784301, + -0.00813161477962283, + 0.02285202142022873, + 0.05037769871527616, + 0.07565203014448292, + 0.09997157674856065, + 0.12468251849420287, + 0.15113878195343683, + 0.1806597486789641, + 0.21448868115835307, + 0.2537529869910804, + 0.29942739689837544, + 0.3523010594579923, + 0.41294945686413037, + 0.4817119240094084, + 0.5586754108256772, + 0.6436649686741106, + 0.7362412696393366, + 0.8357052871814115, + 0.941110082276454, + 1.051279455579918, + 1.1648330479138644, + 1.280217303021855, + 1.3957415523239776, + 1.5096183452640977, + 1.6200070342511317, + 1.725059533102532, + 1.8229671046406704, + 1.9120069983442984, + 1.990587753682642, + 2.0572920091886706, + 2.1109157109503323, + 2.1505026957745312, + 2.1753737318688815, + 2.185149230899692, + 2.179764996540884, + 2.159480542437038, + 2.124879692753887, + 2.076863366752717, + 2.0166346404638458, + 1.9456763688167749, + 1.8657218358027396, + 1.7787190738301428, + 1.6867896520695647, + 1.5921828733180134, + 1.4972264362448688, + 1.4042747118655516, + 1.315655847391212, + 1.2336189455724844, + 1.1602825723581622, + 1.097585819936788, + 1.0472430965798727, + 1.0107037304546838, + 0.9891173637233884, + 0.9833059784491441, + 0.9937432403370576, + 1.020541673907285, + 1.0634479975083484, + 1.1218467531262175, + 1.1947721689312245, + 1.2809279967228817, + 1.3787148766482238 + ], + [ + 1.4533414623571634, + 1.567267128218257, + 1.6873979989548165, + 1.8113624082023614, + 1.9366875784723283, + 2.0608534693612044, + 2.1813476036806185, + 2.2957195966101756, + 2.4016341217923345, + 2.496921087570969, + 2.5796218653415, + 2.6480305085288527, + 2.700729022658627, + 2.7366158913357634, + 2.7549272261463402, + 2.755250086546643, + 2.7375277043345667, + 2.702056541695507, + 2.649475307324205, + 2.580746246971261, + 2.4971292082710375, + 2.4001491504117904, + 2.2915579229666596, + 2.173291271297151, + 2.047422135165947, + 1.9161113899437585, + 1.7815572341134207, + 1.6459444514161612, + 1.5113947704370403, + 1.3799195089221983, + 1.253375625632545, + 1.1334262107535096, + 1.0215063291566895, + 0.9187949921166995, + 0.8261938759327203, + 0.7443132342460917, + 0.6734652689907138, + 0.6136650374128341, + 0.5646387841320647, + 0.5258394024803579, + 0.49646855294110337, + 0.4755048027900464, + 0.461737004060961, + 0.4538020003433687, + 0.45022564977269597, + 0.44946607440816233, + 0.4499579968691592, + 0.4501570047756964, + 0.44858259264360145, + 0.44385886911357353, + 0.43475188370873913, + 0.4202026199791217, + 0.39935481850621385, + 0.37157693081144355, + 0.3364776602213614, + 0.29391471423841564, + 0.2439965706631866, + 0.18707724209881785, + 0.12374420591395506, + 0.05479984462180109, + -0.0187630895572535, + -0.09579131671978129, + -0.17500537048449555, + -0.2550375135843134, + -0.3344722094279686, + -0.411888063734205, + -0.48590011072544625, + -0.5552013076331659, + -0.6186021197046238, + -0.6750671250658514, + -0.7237476435203491, + -0.7640094937834908, + -0.7954551072569228, + -0.8179393701370294, + -0.831578725819605, + -0.8367532421832602, + -0.8341015290622853, + -0.8245085755015273, + -0.809086759570912, + -0.7891504609755952, + -0.7661848739353636, + -0.741809770578559, + -0.7177390995113548, + -0.6957374168452176, + -0.6775742348956576, + -0.6649774347180472, + -0.6595869210056499, + -0.6629097007368107, + -0.6762775401532232, + -0.700808298750429, + -0.7373719552633091, + -0.7865622311275163, + -0.8486745842339386, + -0.9236911931914454, + -1.0112733835007854, + -1.1107617661582467, + -1.2211841706998856, + -1.3412712632130015, + -1.4694795501127413, + -1.6040212852073403, + -1.7429006253042514, + -1.8839552226286178, + -2.0249023045527657, + -2.1633881760220133, + -2.2970399905073733, + -2.423518573592902, + -2.5405710510073285, + -2.6460820309055557, + -2.73812211862109, + -2.814992600322658, + -2.8752652186600054, + -2.917816076517251, + -2.9418528416979988, + -2.9469345824505657, + -2.932983737406003, + -2.900289909536687, + -2.8495053676321658, + -2.7816323358181547, + -2.698002347019669, + -2.6002481252332923, + -2.490268639423776, + -2.370188134461449, + -2.242310087808504, + -2.109067161155247, + -1.9729683109708234, + -1.8365442886648742, + -1.7022927981427718, + -1.5726245850879421, + -1.449811708179412, + -1.335939188260941, + -1.2328611485651826, + -1.142162449510624, + -1.065126688029673, + -1.0027112771378135, + -0.955530150304134, + -0.9238444513307638, + -0.9075613783972576, + -0.9062411553753372, + -0.9191119092484958, + -0.9450920442201939, + -0.9828195254486679, + -1.0306873226226911, + -1.0868841197334258, + -1.1494392758742353, + -1.216270925628201, + -1.2852360388697146, + -1.3541812202168058, + -1.4209930188069868, + -1.483646539672213, + -1.5402511981523255, + -1.5890925371776472, + -1.628669131841038, + -1.6577237337953046, + -1.6752679564044288, + -1.6805999665026394, + -1.6733148259286197, + -1.6533073112598622, + -1.6207672287438653, + -1.5761674286064222, + -1.520244904055551, + -1.4539755308963846, + -1.3785431595040747, + -1.2953039081218025, + -1.2057466216855175, + -1.1114505508080221, + -1.0140413689896894, + -0.9151466810481088, + -0.8163521813772665, + -0.7191595968959695, + -0.6249474970993428, + -0.5349359738781851, + -0.4501560887932839, + -0.3714248579904804, + -0.2993263981835786, + -0.23419969486273962, + -0.17613328023700162, + -0.12496692780489138, + -0.0803002874510559, + -0.04150820423003616, + -0.007762290101283585, + 0.021941844772222763, + 0.04875244183572797, + 0.07392539392786555, + 0.09878496974435896, + 0.12468251849420281, + 0.15295426398209527, + 0.18487932260857287, + 0.22163907591832094, + 0.2642789954246751, + 0.3136739563032041, + 0.37049798870006223, + 0.4351993030363152, + 0.5079812916215604, + 0.588790056482081, + 0.6773088463892539, + 0.7729596088411285, + 0.8749116796673054, + 0.9820974486114565, + 1.0932346583514383, + 1.2068548215206356, + 1.3213370797789061, + 1.4349466849283028, + 1.545877158152498, + 1.6522950828575564, + 1.752386411905726, + 1.8444031232201914, + 1.926709040061083, + 1.9978236442705093, + 2.0564627522551673, + 2.1015749934818535, + 2.1323731281530627, + 2.148359362181523, + 2.149343960652506, + 2.1354566221643876, + 2.107150251826156, + 2.065196955958327, + 2.010676272129352, + 1.944955839358968, + 1.8696649004028019, + 1.7866612063611456, + 1.6979920589966295, + 1.6058503739858272, + 1.5125267751725784, + 1.4203588325502376, + 1.3316786325827343, + 1.2487599166397976, + 1.173766040536532, + 1.1086999949311578, + 1.0553576828974742, + 1.0152855783432224, + 0.9897437888042709, + 0.9796754208991235, + 0.9856829993886063, + 1.0080125249095913, + 1.046545575054792, + 1.1007996629300096, + 1.1699368712650107, + 1.252780583353325, + 1.347839939339751, + 1.4533414623571645 + ], + [ + 1.532593026660372, + 1.651924922950517, + 1.775936872424431, + 1.9021852215977433, + 2.028158219474325, + 2.151330637503727, + 2.2692186041395757, + 2.379433380221514, + 2.4797328282963567, + 2.568069385870074, + 2.6426334380327794, + 2.701891096817297, + 2.744615530284541, + 2.7699111403439596, + 2.7772300608864517, + 2.7663806327006726, + 2.737527704334567, + 2.691184803839687, + 2.6281984204146642, + 2.549724822612786, + 2.457200016428886, + 2.352303607942123, + 2.23691747735617, + 2.1130802908182487, + 1.9829389704477465, + 1.848698309331247, + 1.712569955298211, + 1.576721994259678, + 1.4432303406940918, + 1.3140330901673418, + 1.1908889079733276, + 1.0753404211628115, + 0.9686834511173024, + 0.8719427737164721, + 0.7858549278255184, + 0.7108584144692421, + 0.6470914431281104, + 0.5943971927312731, + 0.5523363678379826, + 0.5202066498425765, + 0.49706847328938575, + 0.48177640274123557, + 0.47301524992163135, + 0.46933995737925477, + 0.46921818647470875, + 0.4710744862035119, + 0.4733348867030717, + 0.4744707579829637, + 0.4730408004694932, + 0.46773008863399923, + 0.45738517083040675, + 0.4410443353726454, + 0.4179622820830985, + 0.38762858672969536, + 0.3497795091597697, + 0.30440287037396, + 0.25173590483084424, + 0.1922561773384708, + 0.12666583433147124, + 0.05586963258073852, + -0.019052649950567185, + -0.09687867039885231, + -0.17627996711340924, + -0.2558614142235033, + -0.33420262446764115, + -0.4099001884897179, + -0.48160961574021777, + -0.548085848189349, + -0.608221253127068, + -0.6610800645257315, + -0.705928332198604, + -0.7422585520555747, + -0.7698082862760117, + -0.7885722357846233, + -0.7988073951686017, + -0.8010310978907945, + -0.7960119428556629, + -0.7847537774498355, + -0.768473092456048, + -0.7485703561649699, + -0.726595974222783, + -0.7042117042036901, + -0.6831484759492629, + -0.6651616672384456, + -0.6519849567943083, + -0.6452839210952042, + -0.6466105567338543, + -0.6573598956801538, + -0.6787298370143939, + -0.7116852465039645, + -0.7569272765060963, + -0.8148687354689447, + -0.8856161917616365, + -0.9689593342169456, + -1.064367935595247, + -1.1709965795051234, + -1.2876971207204448, + -1.4130386580240244, + -1.5453346124082887, + -1.682676326297163, + -1.8229724358269992, + -1.9639931222199525, + -2.1034182235549133, + -2.2388880879252775, + -2.36805597560986, + -2.488640773352305, + -2.598478769318821, + -2.695573253218841, + -2.778140752114857, + -2.8446527875610306, + -2.893872142122866, + -2.9248827505964283, + -2.9371124803054034, + -2.930348232108387, + -2.904742975147144, + -2.860814519507365, + -2.799436027201644, + -2.7218184584457235, + -2.6294853422975195, + -2.5242404436842056, + -2.408129068197062, + -2.283393897659431, + -2.1524263796749743, + -2.017714799970473, + -1.8817902447902883, + -1.747171709973239, + -1.6163116324551345, + -1.4915431083389443, + -1.3750300196601994, + -1.2687212205922465, + -1.1743098348470664, + -1.0931985918707556, + -1.02647198316014, + -0.9748758552298602, + -0.9388048764789577, + -0.9182981258344898, + -0.9130428562210999, + -0.9223862903816062, + -0.9453551151267701, + -0.9806821573876326, + -1.0268395559240098, + -1.0820775903198239, + -1.1444681976491047, + -1.211952100082552, + -1.2823883862804981, + -1.3536053375784813, + -1.423451267903427, + -1.4898441545111687, + -1.5508188747141425, + -1.6045709307361407, + -1.6494956389436164, + -1.6842218785464984, + -1.7076396354163, + -1.7189207353849485, + -1.717532334271908, + -1.7032429146053265, + -1.6761207269864966, + -1.6365248026068635, + -1.5850888478706397, + -1.5226985078241497, + -1.4504626477923193, + -1.3696794482551296, + -1.2817982329780786, + -1.188378051679535, + -1.0910441136115636, + -0.9914432155450692, + -0.891199325684285, + -0.7918704736185892, + -0.6949080559177211, + -0.6016195984849066, + -0.5131359220955904, + -0.430383539116105, + -0.3540629702581493, + -0.2846335139379249, + -0.22230483135678344, + -0.16703553211218913, + -0.1185387625116662, + -0.07629461643007952, + -0.039569011142723536, + -0.007438502576726971, + 0.021179639895204817, + 0.0474929157345302, + 0.07279556490392153, + 0.09842805295947062, + 0.125735159028198, + 0.1560237935864085, + 0.19052168148246876, + 0.23033802501629727, + 0.27642721260018077, + 0.329556561806553, + 0.39027898337502587, + 0.4589113275645532, + 0.535519029238433, + 0.6199075069032522, + 0.7116205976424047, + 0.8099461288543462, + 0.9139285434901129, + 1.0223883127354172, + 1.1339476934211667, + 1.247062221349002, + 1.360057180403702, + 1.4711681546477673, + 1.578584659949848, + 1.6804957659374564, + 1.7751365604180502, + 1.8608342784386218, + 1.936052917696707, + 1.9994351911838224, + 2.0498407261040374, + 2.086379503909417, + 2.108439647682042, + 2.1157087973778648, + 2.1081884673637665, + 2.0862009504624055, + 2.050388514203474, + 2.0017048236980095, + 1.941398716848024, + 1.8709906467461246, + 1.7922422884203013, + 1.7071199780093778, + 1.617752807756343, + 1.526386336000356, + 1.4353329842276492, + 1.346920280359019, + 1.2634381665914238, + 1.187086619740795, + 1.1199248313474761, + 1.0638231637421207, + 1.0204190375157374, + 0.9910778168107033, + 0.9768596436650818, + 0.9784930340625169, + 0.996355889703451, + 1.030464404657485, + 1.0804701592199244, + 1.1456654990155302, + 1.2249971003933182, + 1.3170874282329952, + 1.4202636041834136, + 1.5325930266603733 + ], + [ + 1.6157990654621017, + 1.7395217433481989, + 1.866348037415153, + 1.993782993592667, + 2.1192971581172824, + 2.2403815071146136, + 2.354601825641346, + 2.459651274307148, + 2.553399926337737, + 2.6339401319287465, + 2.69962666815191, + 2.749110759016689, + 2.7813671984591104, + 2.7957139753907874, + 2.7918239804180196, + 2.7697285640151517, + 2.7298129111569716, + 2.6728033929130084, + 2.599747246512835, + 2.511985117253874, + 2.4111171639211157, + 2.2989635800416393, + 2.1775205126661112, + 2.0489124653449275, + 1.9153423500443707, + 1.7790404020912804, + 1.642213191717603, + 1.5069939550117202, + 1.375395426431148, + 1.2492662855873837, + 1.1302522345837083, + 1.0197626012384464, + 0.9189432211286857, + 0.8286561911355387, + 0.7494669130887861, + 0.6816386625566299, + 0.6251347293909278, + 0.5796279880157204, + 0.544517571327347, + 0.5189521470254534, + 0.5018591335472856, + 0.4919790485211115, + 0.48790405933449765, + 0.4881197060459086, + 0.49104869386592875, + 0.4950956075461526, + 0.4986913842821422, + 0.5003363954732234, + 0.49864103045968056, + 0.4923627460238506, + 0.48043864214562837, + 0.4620127447448917, + 0.43645731683657346, + 0.4033876770726812, + 0.36267017503519045, + 0.3144231515422101, + 0.2590108950958961, + 0.19703078779785316, + 0.12929401097061166, + 0.05680034787330485, + -0.01929222594439245, + -0.09770233881920765, + -0.17706346585757307, + -0.2559645888866612, + -0.33299218047687085, + -0.40677238374826996, + -0.47601225335175107, + -0.5395389458363868, + -0.5963357990164958, + -0.6455743186535713, + -0.6866411947992244, + -0.7191595968959689, + -0.7430041430189567, + -0.758309100784654, + -0.7654695513699279, + -0.765135429393998, + -0.75819853554157, + -0.7457728010964785, + -0.7291682593988018, + -0.70985934417694, + -0.6894482845482051, + -0.6696244974072558, + -0.6521209865789891, + -0.6386688417007786, + -0.6309509861403341, + -0.6305563508497533, + -0.6389356491194539, + -0.6573598956801537, + -0.6868827531983654, + -0.7283077013351831, + -0.7821609102921613, + -0.8486705648918246, + -0.9277532300437161, + -1.01900767772836, + -1.1217164135843876, + -1.2348549522926568, + -1.3571086998804371, + -1.4868971125477475, + -1.6224046203235925, + -1.761617634300648, + -1.9023668025998166, + -2.042373546423292, + -2.1792997969262045, + -2.310799768967396, + -2.4345725512492877, + -2.54841426539452, + -2.650268549876974, + -2.738274158423754, + -2.810808525782993, + -2.866526245131377, + -2.904391518702442, + -2.9237037836389996, + -2.9241158752257412, + -2.9056442656670307, + -2.8686711041726025, + -2.813937978743208, + -2.7425315169754767, + -2.6558611376356986, + -2.555629451948859, + -2.443795988948853, + -2.322535078561702, + -2.1941888654607062, + -2.0612165427431055, + -1.9261409843053188, + -1.7914940162525619, + -1.6597615992762635, + -1.533330194909729, + -1.4144355589173176, + -1.305115145524461, + -1.207165218225595, + -1.122103648679691, + -1.0511392475259447, + -0.9951483132038698, + -0.954658910910458, + -0.929843207932884, + -0.9205179983071655, + -0.9261533537958242, + -0.9458891443347104, + -0.9785589840960129, + -1.022720983701437, + -1.076694529159894, + -1.1386021676697746, + -1.206415562901775, + -1.278004390579911, + -1.3511869812827646, + -1.4237814828797322, + -1.493656310657029, + -1.5587786789885993, + -1.6172600636382723, + -1.6673975269853192, + -1.7077099475031867, + -1.7369683269130602, + -1.754219500238781, + -1.7588027416855847, + -1.7503589386451528, + -1.7288321927066759, + -1.6944638956725755, + -1.6477795155304484, + -1.5895685074764154, + -1.520857933955978, + -1.442880531113797, + -1.3570380932447637, + -1.264861158523739, + -1.1679660657377424, + -1.0680105108653901, + -0.9666487627436909, + -0.8654876980530587, + -0.7660447874955959, + -0.669709108131453, + -0.5777063728802941, + -0.4910688593714025, + -0.41061098943892627, + -0.33691116096032436, + -0.2703002692429831, + -0.2108571799630784, + -0.15841123420223305, + -0.11255168301509988, + -0.07264376883502147, + -0.03785099844691868, + -0.007162991594926267, + 0.020571855387336104, + 0.04660977657244103, + 0.07227210193744686, + 0.0989038460714025, + 0.1278315342809456, + 0.160321401156946, + 0.19753908839138204, + 0.24051193140659385, + 0.29009485910316174, + 0.346940839378903, + 0.4114766873169311, + 0.48388491599152206, + 0.5640921551388187, + 0.651764494377821, + 0.7463099294917167, + 0.846887906983087, + 0.9524257783265604, + 1.061641795706023, + 1.173074110089555, + 1.2851150746023614, + 1.3960500153239082, + 1.5040995114581421, + 1.607464130390629, + 1.7043704929510208, + 1.793117502088531, + 1.8721215552876314, + 1.9399595778182201, + 1.9954087600064607, + 2.0374819560730204, + 2.0654578029508435, + 2.0789047424362774, + 2.077698276010694, + 2.06203094512977, + 2.032414706705982, + 1.9896755595542595, + 1.9349404681423736, + 1.8696168203748635, + 1.7953648416244516, + 1.7140635632007766, + 1.6277711055321096, + 1.5386801804834511, + 1.4490698398323962, + 1.3612545948852082, + 1.2775321030540747, + 1.2001306591130696, + 1.131157740693455, + 1.0725508389984812, + 1.0260317570899082, + 0.9930654805414242, + 0.9748246205990171, + 0.9721603007351357, + 0.9855802067412419, + 1.0152343519120766, + 1.0609089265184792, + 1.1220284090695956, + 1.1976659204896036, + 1.2865616060576768, + 1.387148638563374, + 1.4975862542772103, + 1.615799065462103 + ], + [ + 1.7022556180229278, + 1.8293164806727251, + 1.9578665745596422, + 2.0853807655875904, + 2.2093333177394423, + 2.3272526675409786, + 2.4367748874956776, + 2.5356945991841027, + 2.6220121589323044, + 2.69397602942848, + 2.7501193671823545, + 2.789289995417681, + 2.8106730914392584, + 2.813806092815833, + 2.7985855135779834, + 2.7652655554762036, + 2.7144485954430477, + 2.647067823969593, + 2.5643624954242297, + 2.4678464258792725, + 2.3592705325326717, + 2.240580347483015, + 2.1138695540951935, + 1.9813306837169646, + 1.8452041719522518, + 1.7077270056396716, + 1.571082193428287, + 1.4373502644366227, + 1.3084639417185222, + 1.1861670516563834, + 1.071978619158971, + 0.9671629644862245, + 0.8727064640442539, + 0.7893014684499363, + 0.7173376907929612, + 0.6569011908315241, + 0.6077808915129093, + 0.5694823774212109, + 0.5412485451566842, + 0.522086507690491, + 0.5108000025612228, + 0.5060264211296264, + 0.5062774662346641, + 0.5099823611716772, + 0.5155324759754089, + 0.5213262088798444, + 0.5258129621629059, + 0.5275350822489734, + 0.5251666930842104, + 0.5175484378552049, + 0.5037172548552623, + 0.4829304458642579, + 0.4546834464035258, + 0.4187208728050297, + 0.37504059698122477, + 0.3238907816302536, + 0.26575999174872905, + 0.20136067811194272, + 0.13160650026774567, + 0.05758411622697148, + -0.019479790617412167, + -0.09825535337329688, + -0.17734923796307417, + -0.2553461646694498, + -0.33085111835955183, + -0.4025311121533217, + -0.469155379778688, + -0.5296329112357028, + -0.5830463136929123, + -0.6286810730758793, + -0.6660494092321382, + -0.6949080559177204, + -0.7152694526667251, + -0.7274060049534457, + -0.731847247667667, + -0.7293699302913288, + -0.7209812256566458, + -0.7078954431404987, + -0.6915047970724775, + -0.6733449376898567, + -0.6550560911757976, + -0.6383407736096433, + -0.6249191380007055, + -0.6164830815244058, + -0.6146502798434481, + -0.6209193258902727, + -0.6366271313538018, + -0.6629097007368101, + -0.7006673113449846, + -0.7505350297544658, + -0.8128593686613244, + -0.8876817406237358, + -0.9747292006690836, + -1.0734127920924492, + -1.182833623393937, + -1.301796613790821, + -1.4288316548110713, + -1.5622217508375684, + -1.7000375267171128, + -1.8401773300307367, + -1.9804120133534457, + -2.1184333613823294, + -2.251905032219115, + -2.3785148137863454, + -2.496026957096653, + -2.6023333389290553, + -2.6955022277031215, + -2.7738234775398807, + -2.835849055477928, + -2.8804279136848, + -2.906734349712797, + -2.9142891502389134, + -2.902972983619017, + -2.8730316898612624, + -2.82507330883353, + -2.7600568839909574, + -2.679273274859761, + -2.5843184021681607, + -2.477059530226209, + -2.359595357515829, + -2.2342108344017313, + -2.1033277528034118, + -1.9694522535062629, + -1.8351204700779349, + -1.7028435723105824, + -1.5750534856639709, + -1.4540505460177182, + -1.3419543015827324, + -1.2406585972442261, + -1.151791972795418, + -1.0766842780216008, + -1.0163402575614184, + -0.9714206905828143, + -0.94223148867682, + -0.9287209644370138, + -0.9304852876231687, + -0.9467819503793804, + -0.976550872455044, + -1.0184425963998225, + -1.0708528556682055, + -1.1319626495231123, + -1.1997828311705, + -1.2722021127498968, + -1.3470373150997024, + -1.4220846433895624, + -1.4951707528291502, + -1.564202382047773, + -1.6272133749689723, + -1.6824079839213242, + -1.728199445466234, + -1.7632429434636692, + -1.786462218119502, + -1.797069241528721, + -1.794576555486221, + -1.7788020516951684, + -1.74986616336065, + -1.7081816258106362, + -1.6544361475504714, + -1.5895685074764156, + -1.51473875453883, + -1.4312933289988656, + -1.3407260460566428, + -1.2446359800727813, + -1.1446833584977372, + -1.0425446172715584, + -0.939867782875872, + -0.8382293301588346, + -0.7390936199991435, + -0.6437759480380915, + -0.5534101369949785, + -0.4689214830417276, + -0.3910057244791972, + -0.32011454216494745, + -0.25644792983473963, + -0.19995359299253668, + -0.1503333519699908, + -0.10705634271691775, + -0.06937863248856328, + -0.036368701307437724, + -0.006938088103457647, + 0.02012363338057882, + 0.04611049610639676, + 0.07235943376200764, + 0.10020832365512881, + 0.13095390796918663, + 0.16581072698897148, + 0.20587217289745047, + 0.2520747192374036, + 0.30516630045952226, + 0.36567971016551665, + 0.43391175835835866, + 0.5099087804584519, + 0.5934589277481136, + 0.684091494376301, + 0.7810833544926431, + 0.8834723990680364, + 0.9900776801497344, + 1.0995257952949387, + 1.2102828811666824, + 1.3206914369230751, + 1.4290110688691573, + 1.5334621411792024, + 1.6322712360868021, + 1.723717272904278, + 1.8061771100141675, + 1.878169458297526, + 1.9383959683132108, + 1.9857784161681662, + 2.019491002948986, + 2.0389868976634187, + 2.0440182910788463, + 2.0346493842907347, + 2.0112619074751326, + 1.9745529468558498, + 1.925525046947769, + 1.8654687459506363, + 1.7959378900357126, + 1.7187182525263456, + 1.635790152135862, + 1.5492859162962718, + 1.461443167385455, + 1.3745550180256416, + 1.2909183438399465, + 1.212781356013913, + 1.142291720307913, + 1.0814464631226246, + 1.032044868901796, + 0.9956455073756045, + 0.9735284354441628, + 0.9666634991027699, + 0.9756855185820976, + 1.000876978247455, + 1.0421586656815964, + 1.0990885160613275, + 1.1708687230047545, + 1.2563609802561007, + 1.3541095246819095, + 1.4623714648020067, + 1.5791537050124493, + 1.7022556180229291 + ], + [ + 1.7912312227861493, + 1.9205494308137483, + 2.0497181956210455, + 2.176203578982973, + 2.297504951688573, + 2.4112091494559666, + 2.5150425684155473, + 2.6069199939139205, + 2.684989035544919, + 2.747669147509871, + 2.793684344042108, + 2.822088871499008, + 2.8322852681093056, + 2.8240344251189047, + 2.7974574547361803, + 2.753029366155603, + 2.6915647462561663, + 2.614195831568181, + 2.5223435381548396, + 2.4176821817909957, + 2.3020987682259673, + 2.1776478588324104, + 2.0465031175553134, + 1.910906718388037, + 1.7731178368959368, + 1.6353614635800797, + 1.4997787608629343, + 1.3683801396707804, + 1.2430021572037258, + 1.125269236446126, + 1.0165610828547207, + 0.9179865276346768, + 0.8303643637513125, + 0.7542115644217999, + 0.6897390886973049, + 0.6368552894985526, + 0.5951767508152037, + 0.5640461974043155, + 0.5425569467666489, + 0.5295832137281483, + 0.5238154365335501, + 0.5237996734380037, + 0.5279800232856937, + 0.534742954801232, + 0.5424623889274651, + 0.5495443674478216, + 0.5544701595238373, + 0.5558367051125447, + 0.55239336923428, + 0.5430740817785134, + 0.5270240613620929, + 0.5036204655139064, + 0.47248646948040146, + 0.43349844815249494, + 0.3867861156305293, + 0.3327256602033941, + 0.2719260943776593, + 0.20520921544938456, + 0.13358373751700614, + 0.058214306606807174, + -0.019613757087618595, + -0.0985330353077505, + -0.17713486566858663, + -0.2540113737205869, + -0.3277975524700382, + -0.3972122567817638, + -0.46109700727422737, + -0.5184515539225503, + -0.5684652322157157, + -0.6105432522945234, + -0.6443271913211325, + -0.6697091081314525, + -0.6868388632497878, + -0.6961244024655409, + -0.6982249439654062, + -0.6940371928892682, + -0.6846748884835416, + -0.6714421631699035, + -0.6558013554112672, + -0.6393360651055583, + -0.6237103676241365, + -0.610625207270227, + -0.601773070162361, + -0.5987920882795901, + -0.6032207492550756, + -0.6164543798087229, + -0.6397045345418119, + -0.6739623569880284, + -0.7199668878547477, + -0.7781791785054053, + -0.8487629287645716, + -0.9315722104652285, + -1.0261466656693792, + -1.1317143854230973, + -1.2472024857730535, + -1.3712552072518944, + -1.5022591768586266, + -1.6383752923687676, + -1.7775765220714699, + -1.9176907629128848, + -2.05644777028905, + -2.191529066645053, + -2.3206196562888235, + -2.441460322461551, + -2.5518992610700524, + -2.6499418141951514, + -2.7337971054143826, + -2.8019204472412476, + -2.853050486987476, + -2.88624017881476, + -2.900880813743441, + -2.8967185024549047, + -2.8738626839154913, + -2.8327864218397583, + -2.774318446206723, + -2.6996270936936906, + -2.610196494207477, + -2.507795535958623, + -2.3944403142206383, + -2.2723509248282756, + -2.143903598789921, + -2.0115792858157517, + -1.8779098793752051, + -1.745423332025938, + -1.6165889358348824, + -1.4937640381083792, + -1.3791434274831784, + -1.2747125605703828, + -1.1822057063848663, + -1.1030699670147333, + -1.0384359913010632, + -0.9890960371789991, + -0.9554898617212196, + -0.9376987301445164, + -0.9354476406791429, + -0.9481156660046364, + -0.9747541187101251, + -1.0141120626481186, + -1.0646685186305684, + -1.1246705558711791, + -1.192176323706283, + -1.265101964724218, + -1.3412712632130015, + -1.4184668238627343, + -1.49448154629791, + -1.5671691618989505, + -1.634492630389232, + -1.6945692539572395, + -1.7457114546779329, + -1.7864622744353544, + -1.8156247925502704, + -1.8322848114499757, + -1.8358263310850778, + -1.8259395141342682, + -1.8026210318148965, + -1.7661668696575359, + -1.7171578591963668, + -1.656438380547882, + -1.5850888478706402, + -1.5043927405995352, + -1.4157990744206859, + -1.3208813139912636, + -1.221293811786898, + -1.118726912198314, + -1.0148618858133203, + -0.9113268551498261, + -0.8096548401285497, + -0.7112449902017942, + -0.6173279819069147, + -0.5289364479787217, + -0.4468811699321168, + -0.37173361364996066, + -0.3038152208675841, + -0.2431936927728432, + -0.18968631972485836, + -0.14287022795443066, + -0.10209923468271224, + -0.06652683192168704, + -0.03513466062882777, + -0.006765694887628927, + 0.019838766035932907, + 0.045999298475067125, + 0.07305682151085001, + 0.10233044924000839, + 0.13507586339862843, + 0.17244532890199765, + 0.21545043333498903, + 0.2649285620914567, + 0.3215140254554824, + 0.38561463484010344, + 0.4573943856463128, + 0.5367627472960196, + 0.6233708908814268, + 0.7166150058505709, + 0.8156466737345217, + 0.919390083751484, + 1.0265656968325305, + 1.1357197957229372, + 1.245259203612076, + 1.3534903161874234, + 1.4586614756114105, + 1.559007622676767, + 1.652796097698835, + 1.738372423284305, + 1.8142048940023678, + 1.8789268194721347, + 1.931375318025633, + 1.970625636735591, + 1.9960200783363617, + 2.007190743884097, + 2.0040754487745303, + 1.9869263353217825, + 1.956310883431664, + 1.9131052075830854, + 1.8584797187490925, + 1.7938774193288516, + 1.7209852829213366, + 1.6416993442785537, + 1.5580842837022886, + 1.4723284305177538, + 1.3866952285433103, + 1.3034722996909194, + 1.2249193076032234, + 1.1532158598585402, + 1.0904106937706632, + 1.0383733669311626, + 0.9987496198935991, + 0.9729214960217274, + 0.9619731944660899, + 0.9666634991027695, + 0.9874054722678026, + 1.0242539309723444, + 1.0769010391341296, + 1.1446801566820357, + 1.2265778898690158, + 1.3212540915495794, + 1.427069370308673, + 1.5421194878001978, + 1.664275858846218, + 1.7912312227861507 + ], + [ + 1.88197310587355, + 2.0124487217296947, + 2.141125794321851, + 2.265483031679697, + 2.383066088043347, + 2.4915406430318363, + 2.5887426884038454, + 2.6727248594273307, + 2.741797743302077, + 2.79456521809754, + 2.8299530193135602, + 2.847229893927362, + 2.8460208796750015, + 2.826312435980345, + 2.7884493477808654, + 2.7331235197519392, + 2.6613549713155087, + 2.5744655276392328, + 2.4740458740969595, + 2.36191679719361, + 2.2400855699975564, + 2.1106985514210863, + 1.9759911535832595, + 1.8382363879720343, + 1.6996932278894397, + 1.5625560211441103, + 1.428906153326218, + 1.3006670991790488, + 1.179563909205549, + 1.0670880630298667, + 0.9644684831048126, + 0.8726493455921591, + 0.792275153578358, + 0.7236833555175698, + 0.6669046034640561, + 0.6216705559538663, + 0.5874289440315524, + 0.5633654405078764, + 0.5484317064875623, + 0.5413788396130487, + 0.5407953190033107, + 0.5451484356892262, + 0.5528281170344164, + 0.5621920011081714, + 0.5716105934725992, + 0.5795113448597377, + 0.5844205235077334, + 0.5850018195278812, + 0.580090708909448, + 0.5687237192956995, + 0.5501618755366219, + 0.5239077567652611, + 0.48971576443601045, + 0.4475953781407082, + 0.39780735858042343, + 0.3408530401910748, + 0.2774570349642527, + 0.20854383944282087, + 0.13520899439655434, + 0.058685587317034126, + -0.01969299193805328, + -0.09853303530775052, + -0.17642216266072644, + -0.2519715089754995, + -0.32385731735750967, + -0.3908608175568491, + -0.451905313316212, + -0.5060894732394208, + -0.5527159171322171, + -0.5913143104807712, + -0.6216583208591495, + -0.6437759480380904, + -0.6579529104195998, + -0.6647289498330738, + -0.6648871001667325, + -0.6594361481344839, + -0.6495866920635467, + -0.6367213724285417, + -0.6223600016876158, + -0.6081204568752971, + -0.5956763128985704, + -0.5867122846216742, + -0.5828786092715832, + -0.5857455357744484, + -0.5967590933759159, + -0.6171992880693651, + -0.648141822459973, + -0.6904243539605394, + -0.744618199577225, + -0.8110062655804483, + -0.8895678302368849, + -0.9799706411807791, + -1.081570610024032, + -1.1934191998589576, + -1.3142784110187677, + -1.4426430815448243, + -1.5767700359602481, + -1.7147134437201235, + -1.8543655913991703, + -1.9935021342296808, + -2.129830776496381, + -2.261042239468756, + -2.3848623123219777, + -2.4991037475064526, + -2.601716758195365, + -2.6908369019489746, + -2.7648291910166902, + -2.8223273544501577, + -2.862267288417329, + -2.883913866128178, + -2.88688043435743, + -2.871140495918034, + -2.837031262423217, + -2.78524895478117, + -2.7168359253968415, + -2.6331598712221114, + -2.5358855958405426, + -2.426939957082208, + -2.3084707998851752, + -2.182800818265286, + -2.0523774118040334, + -1.9197196980450963, + -1.7873639102584744, + -1.6578084485256657, + -1.5334598600807114, + -1.416581002119704, + -1.3092425874247673, + -1.213279231436466, + -1.130251010853287, + -1.0614114110994035, + -1.0076823863312807, + -0.9696370848112721, + -0.9474906086400372, + -0.9410989845018269, + -0.9499663259344077, + -0.9732599724726236, + -1.009833201586431, + -1.0582549302482704, + -1.1168456585687119, + -1.183718762213854, + -1.25682611677882, + -1.3340069389038194, + -1.4130386580240273, + -1.4916885909026525, + -1.567765179449233, + -1.6391675709687537, + -1.703932368373736, + -1.7602764547382808, + -1.8066348999003508, + -1.8416930839953733, + -1.8644123206166612, + -1.8740484270299476, + -1.8701628663924208, + -1.8526262728076637, + -1.8216143596543124, + -1.7775964002459088, + -1.7213166528335324, + -1.6537692747255017, + -1.5761674286064224, + -1.4899074240976444, + -1.3965288557842197, + -1.2976717924617431, + -1.1950321389722387, + -1.0903163301205916, + -0.9851965249253907, + -0.8812674487290311, + -0.7800059810779646, + -0.6827345101132812, + -0.590588971499234, + -0.5044923643150708, + -0.42513439106483214, + -0.352957707729561, + -0.2881510967019365, + -0.2306496949004483, + -0.18014222593788187, + -0.13608500356182632, + -0.09772229828956959, + -0.06411249465764302, + -0.03415931695363961, + -0.006647270472054833, + 0.019719663460038, + 0.04627712446073069, + 0.07435836496804714, + 0.10525226868332047, + 0.14016252696113185, + 0.1801690751616491, + 0.2261928332864842, + 0.27896471064177825, + 0.3389997249401472, + 0.40657695491926005, + 0.48172589552792733, + 0.5642196197932207, + 0.6535749757953341, + 0.7490598651765028, + 0.8497074658964874, + 0.9543370811680719, + 1.061581123242797, + 1.1699175793684256, + 1.277707161910881, + 1.383234219035168, + 1.4847503796926658, + 1.5805198296179037, + 1.6688650656098836, + 1.748211954887356, + 1.8171329353679793, + 1.874387231193211, + 1.9189570248337993, + 1.9500786210794454, + 1.9672677568780856, + 1.9703383514617752, + 1.9594141500435678, + 1.9349328876930416, + 1.8976427835283942, + 1.848591364567356, + 1.7891068087731474, + 1.7207721832956857, + 1.6453931320043647, + 1.5649597316963058, + 1.4816033847093113, + 1.397549743349901, + 1.31506876534345, + 1.2364230767906377, + 1.1638158678865063, + 1.0993395656391263, + 1.044926516462258, + 1.0023028700036472, + 0.9729467848467718, + 0.9580519784470628, + 0.9584975201746861, + 0.9748246205990162, + 1.00722100568073, + 1.055513285317667, + 1.1191675360691646, + 1.1972981224705, + 1.2886845849020228, + 1.3917962292840287, + 1.5048238696292584, + 1.6257180031969907, + 1.7522325438388688, + 1.8819731058735507 + ], + [ + 1.9737135498930385, + 2.1042368438345114, + 2.23131602101464, + 2.352463779108535, + 2.4652928408733454, + 2.5675675074825186, + 2.6572517110957827, + 2.7325524567850468, + 2.7919576548299183, + 2.834267479213599, + 2.858618543592151, + 2.8645003582765565, + 2.8517637166470653, + 2.8206208523974547, + 2.7716374053730948, + 2.705716428733287, + 2.6240748589871523, + 2.528213048532157, + 2.419878123343462, + 2.3010220724749346, + 2.1737555975657434, + 2.0402988466846486, + 1.9029302253012632, + 1.7639345163479776, + 1.6255515503499718, + 1.4899266453196123, + 1.3590639851481219, + 1.2347840259244902, + 1.118685914008191, + 1.0121157704619872, + 0.9161415468753011, + 0.8315349914340597, + 0.7587610854790193, + 0.6979751241987493, + 0.6490274251710114, + 0.6114754599144238, + 0.584603021113268, + 0.5674458662432836, + 0.5588231211938265, + 0.5573735890126243, + 0.5615959924813255, + 0.5698920876942234, + 0.580611521363826, + 0.5920972687399024, + 0.6027304826106451, + 0.6109736069264744, + 0.6154106604825963, + 0.6147836754296644, + 0.6080243800828737, + 0.5942803428667738, + 0.5729349410009524, + 0.5436206799542306, + 0.5062255636386829, + 0.4608923963630358, + 0.4080110811283812, + 0.34820416028091844, + 0.28230601924836757, + 0.21133633766433266, + 0.13646852049775213, + 0.05899397110958685, + -0.019716824806027357, + -0.0982553533732969, + -0.17521715872944182, + -0.24924382861298064, + -0.3190637491939948, + -0.3835305305284793, + -0.4416580637948157, + -0.4926512579827986, + -0.5359316147746703, + -0.5711569331835631, + -0.5982345867480794, + -0.6173279819069136, + -0.6288559824081483, + -0.6334852667919196, + -0.6321157695157291, + -0.6258595365227526, + -0.6160134984159643, + -0.6040268245174221, + -0.591463664886411, + -0.5799622111699274, + -0.5711911077876319, + -0.5668043198103145, + -0.568395611017349, + -0.5774538037468065, + -0.5953199807386392, + -0.6231477484112397, + -0.6618676118345804, + -0.7121564157108168, + -0.7744126852603969, + -0.8487385589685136, + -0.934928845147377, + -1.0324675601459947, + -1.1405321220841813, + -1.2580051847481513, + -1.3834939064512979, + -1.515356262949711, + -1.651733836531388, + -1.79059034958779, + -1.9297550644262513, + -2.0669700454747475, + -2.1999401785367367, + -2.3263847669562803, + -2.4440894783784044, + -2.5509573994612227, + -2.645057969904234, + -2.72467261124289, + -2.7883359390236695, + -2.8348715474973933, + -2.8634214814567387, + -2.873468657283051, + -2.864851661099613, + -2.837771532137785, + -2.7927903296344265, + -2.730821477167765, + -2.6531120745410743, + -2.5612175593550965, + -2.4569692835852077, + -2.342435740323779, + -2.219878328212747, + -2.091702672250268, + -1.9604066264020483, + -1.8285261631709224, + -1.6985804060273233, + -1.5730170811377173, + -1.4541596546452922, + -1.3441573811081309, + -1.244939418579875, + -1.1581740679443577, + -1.085234070883453, + -1.0271687552831872, + -0.9846836525264633, + -0.9581280320005463, + -0.9474906086400368, + -0.9524034840582559, + -0.972154185555768, + -1.005705474816483, + -1.0517224140936965, + -1.108606006620723, + -1.1745325739999475, + -1.2474979001509525, + -1.3253650622369595, + -1.4059147864478876, + -1.4868971125477506, + -1.5660831269370665, + -1.6413155301458437, + -1.7105568409181717, + -1.7719341043960974, + -1.8237790646606353, + -1.864662879673822, + -1.893424596505182, + -1.9091927630987917, + -1.9113997257733562, + -1.8997883448245916, + -1.874411049452134, + -1.8356213430653159, + -1.7840580561250683, + -1.7206228214460868, + -1.6464514119263718, + -1.562879728927727, + -1.4714053573654442, + -1.3736457078590047, + -1.2712938445226494, + -1.1660731472643595, + -1.0596919786448842, + -0.9537995169846123, + -0.849943879793846, + -0.7495335957709088, + -0.6538033912962952, + -0.5637851409426382, + -0.4802846940128963, + -0.40386513402962215, + -0.33483685937828056, + -0.2732546952465442, + -0.21892206411577902, + -0.17140205898379737, + -0.13003508486088836, + -0.09396256439996242, + -0.06215604708218508, + -0.033450922130713455, + -0.00658381678087879, + 0.019767333314580717, + 0.04694162352983102, + 0.07625305248699603, + 0.10894906207043605, + 0.14617086318121653, + 0.1889166193795335, + 0.23800848718735418, + 0.2940644127202017, + 0.3574754619835057, + 0.4283893196895588, + 0.50670043241947, + 0.5920471003843523, + 0.683815642263957, + 0.7811515741627304, + 0.8829775612641628, + 0.988017723905956, + 1.0948277130284416, + 1.2018298175070894, + 1.3073522316530215, + 1.4096714985889476, + 1.507057057179032, + 1.5978167589975063, + 1.6803421890801296, + 1.7531526208236305, + 1.814936461556094, + 1.8645891004317812, + 1.9012461531174552, + 1.9243112062498111, + 1.9334772962242686, + 1.9287415083122428, + 1.9104122496826894, + 1.8791089294987542, + 1.835753966438123, + 1.7815572341134212, + 1.7179932432299299, + 1.646771541228475, + 1.5698009810873925, + 1.4891486666271183, + 1.406994518170412, + 1.325582516323895, + 1.2471697700758888, + 1.1739746160906523, + 1.10812498743942, + 1.0516082911840676, + 1.0062240051045517, + 0.9735401450661711, + 0.9548546674217261, + 0.9511627574988261, + 0.9631308183472177, + 0.9910778168107021, + 1.0349644704415757, + 1.0943905730006416, + 1.1686005627968226, + 1.256497241626249, + 1.3566633573601954, + 1.467390575053534, + 1.586715184395101, + 1.7124597297233681, + 1.8422796066345104, + 1.9737135498930392 + ], + [ + 2.0656763891751853, + 2.195137228080592, + 2.319525825570047, + 2.436409924787001, + 2.5434895346415964, + 2.6386465211322125, + 2.7199900191587014, + 2.7858966174411255, + 2.8350443945792985, + 2.8664400317635295, + 2.8794383935711862, + 2.8737541486032225, + 2.8494651920260496, + 2.8070078277428157, + 2.7471638641531295, + 2.6710399694915146, + 2.580039815890838, + 2.4758297111496854, + 2.3602985695769076, + 2.2355132045612676, + 2.1036700325119573, + 1.9670443579813979, + 1.8279384612230363, + 1.6886297309717873, + 1.5513200764190096, + 1.4180878134912283, + 1.2908431526753743, + 1.1712883205192692, + 1.0608832269986288, + 0.9608174492128586, + 0.871989141914876, + 0.7949913112010135, + 0.7301057036347052, + 0.6773043737354026, + 0.636258802836045, + 0.6063562565060523, + 0.5867228906469837, + 0.5762529523624019, + 0.5736432748148576, + 0.5774321391092481, + 0.5860414738575581, + 0.5978212869604028, + 0.611095176101162, + 0.6242057455999727, + 0.6355587679975843, + 0.6436649686741113, + 0.6471783798664215, + 0.6449303048405215, + 0.6359580512562993, + 0.6195277318918206, + 0.5951505873163269, + 0.5625924548304368, + 0.5218761867163948, + 0.4732770040283474, + 0.4173109551644099, + 0.3547168266705452, + 0.2864320226287698, + 0.21356308431534607, + 0.13735165965984128, + 0.059136848918035105, + -0.01968505405469327, + -0.09770233881920767, + -0.17353004875326197, + -0.24585141004318656, + -0.31345740373527137, + -0.37528341324190717, + -0.4304419550779229, + -0.47825060153461657, + -0.5182543279360033, + -0.550241660936151, + -0.5742541643778624, + -0.5905889714992334, + -0.5997942523929204, + -0.6026576890385341, + -0.6001882122988996, + -0.5935914313818995, + -0.5842393519510964, + -0.5736351301063244, + -0.5633737419977427, + -0.5550995594898676, + -0.5504619082062414, + -0.5510697432269084, + -0.558446608118521, + -0.57398704400167, + -0.5989155868873629, + -0.6342494341681449, + -0.6807657762765341, + -0.7389746791625832, + -0.8090982700732241, + -0.8910568263934808, + -0.9844621987838108, + -1.0886188196713027, + -1.2025323607774092, + -1.3249259134330236, + -1.4542633776589164, + -1.5887795650487793, + -1.726516350897708, + -1.8653640570134358, + -2.0031071120967785, + -2.137472924874343, + -2.2661828191439883, + -2.3870038217572502, + -2.4978000658326667, + -2.59658257296628, + -2.68155620993348, + -2.7511626766654387, + -2.804118471710257, + -2.8394468968334623, + -2.856503301110315, + -2.8549929234727203, + -2.834980867359886, + -2.7968939276473654, + -2.7415141838597634, + -2.669964470088868, + -2.5836860262530323, + -2.4844088226053076, + -2.37411522515319, + -2.2549978295957063, + -2.129412431602254, + -1.9998272183208912, + -1.8687693570457213, + -1.7387702197638113, + -1.6123105153025405, + -1.4917666031987262, + -1.3793592351503596, + -1.2771059116794803, + -1.1867779548544448, + -1.1098632847125713, + -1.0475357501579061, + -1.0006317079292673, + -0.969634369581645, + -0.9546662505415049, + -0.9554898617212189, + -0.9715165876322105, + -1.0018235002107065, + -1.0451776694046282, + -1.1000673545390238, + -1.1647392988752434, + -1.2372412075160988, + -1.3154683693151377, + -1.3972132895878988, + -1.4802171344275283, + -1.5622217508375686, + -1.6410210205272138, + -1.7145103291389354, + -1.7807329862194199, + -1.83792251299843, + -1.8845398229091017, + -1.9193044510315034, + -1.9412191399601715, + -1.9495872571898811, + -1.944022698791177, + -1.9244521214283714, + -1.8911095349995435, + -1.8445234766300178, + -1.785497168762345, + -1.7150822351615302, + -1.6345467045811446, + -1.5453381687865886, + -1.44904307625977, + -1.3473432324312309, + -1.2419706395497048, + -1.1346618428372026, + -1.0271129536423536, + -0.9209364948854725, + -0.8176211599115393, + -0.7184954943759918, + -0.6246964041075082, + -0.537143262772508, + -0.4565182449170502, + -0.3832533463654533, + -0.3175243791729484, + -0.25925204679841835, + -0.20811002148208715, + -0.16353976463000705, + -0.12477165690144608, + -0.09085184206389571, + -0.06067404162710423, + -0.03301546950080355, + -0.006575870661041264, + 0.019981372291020757, + 0.047987173719554244, + 0.07872485415393052, + 0.11338955285648199, + 0.15305003881565746, + 0.19861395337325854, + 0.2507974292589531, + 0.3100999180144504, + 0.3767849234898047, + 0.45086718667483533, + 0.5321067004377317, + 0.6200097559915348, + 0.7138370405649133, + 0.8126186224295664, + 0.9151754797758478, + 1.0201470584869095, + 1.126024184995624, + 1.2311865181638229, + 1.3339436021339313, + 1.4325784835007314, + 1.525392783485088, + 1.6107520709660734, + 1.6871303664515571, + 1.7531526208236303, + 1.8076340557290769, + 1.8496153238077917, + 1.8783925448655814, + 1.8935413962360346, + 1.8949345789623997, + 1.8827521425513316, + 1.8574843259425617, + 1.819926756685873, + 1.771168039558443, + 1.7125699552982114, + 1.6457406750631913, + 1.5725015720447808, + 1.4948483739730165, + 1.4149075449863746, + 1.334888908857407, + 1.2570356247459178, + 1.1835726989652364, + 1.1166552598267365, + 1.0583178363109578, + 1.0104258646739026, + 0.9746306004567161, + 0.9523285377869869, + 0.9446263351186545, + 0.9523121191036475, + 0.975833889184553, + 1.0152855783432206, + 1.0704011442844013, + 1.140556874575297, + 1.224781893542288, + 1.3217766628133178, + 1.4299390760677926, + 1.547397566486054, + 1.67205047702704, + 1.8016107931218388, + 1.9336552083351302, + 2.0656763891751866 + ], + [ + 2.1570835764860057, + 2.2843808160843233, + 2.405008913126143, + 2.5166112463365935, + 2.6169945899344143, + 2.7041763233618226, + 2.7764268181169807, + 2.8323060256579096, + 2.8706934292349673, + 2.890810681394513, + 2.892236423898755, + 2.8749129736538097, + 2.839144752370343, + 2.7855885343649702, + 2.7152357813540937, + 2.6293875205630823, + 2.529622398417245, + 2.4177587022298015, + 2.2958112827822172, + 2.165944428118257, + 2.030421830430631, + 1.8915548514337972, + 1.7516503256068414, + 1.612959144403547, + 1.4776268379561308, + 1.3476473146836656, + 1.2248208350209708, + 1.1107171853632458, + 1.0066448850649772, + 0.9136271062930036, + 0.8323848175486935, + 0.7633274809639964, + 0.7065514455425258, + 0.6618459880300698, + 0.6287067647819778, + 0.6063562565060521, + 0.5937706175771921, + 0.5897121869314117, + 0.5927667821448258, + 0.6013847854925051, + 0.6139249432978601, + 0.6286997398238656, + 0.6440211757333366, + 0.6582457794448954, + 0.6698177074840761, + 0.6773088463892546, + 0.6794549123781649, + 0.6751866536341316, + 0.6636553909314675, + 0.6442522820351156, + 0.6166208600622225, + 0.5806625715936018, + 0.5365352223159217, + 0.4846444217516954, + 0.4256282995459241, + 0.36033593925528373, + 0.28980013724982345, + 0.21520524011157918, + 0.1378509401258855, + 0.059113011931466466, + -0.01959794847898374, + -0.09687867039885235, + -0.17137510644601137, + -0.24182295466230452, + -0.30708571320082045, + -0.36618924004124026, + -0.4183518805206253, + -0.4630093399647978, + -0.4998336144619342, + -0.5287454464060155, + -0.5499199389730145, + -0.5637851409426377, + -0.5710135957604264, + -0.5725070318303491, + -0.5693745500976828, + -0.5629048354829006, + -0.554533076326001, + -0.5458034166823652, + -0.5383278864800841, + -0.5337428511188076, + -0.5336640925629274, + -0.5396416765093275, + -0.5531157736415983, + -0.5753745868952094, + -0.6075154913670383, + -0.6504104200550076, + -0.7046764287631394, + -0.7706522496716341, + -0.8483814982727871, + -0.9376030361637002, + -1.0377488165603284, + -1.147949354692384, + -1.2670467760289432, + -1.3936152062669307, + -1.5259880828916557, + -1.6622917934818477, + -1.8004848851481947, + -1.9384019465967566, + -2.0738011428952783, + -2.20441428616583, + -2.327998255603463, + -2.442386539237615, + -2.5455396588105845, + -2.6355932584081434, + -2.710902686656817, + -2.770082980276254, + -2.8120432617082467, + -2.8360146929326118, + -2.8415712783143006, + -2.8286429777655853, + -2.7975207735699734, + -2.748853525478092, + -2.683636644495203, + -2.6031928113624727, + -2.5091451563168783, + -2.4033834976419937, + -2.288024403370715, + -2.1653659891888544, + -2.0378384924753044, + -1.9079517643915138, + -1.7782408965001373, + -1.6512112437200146, + -1.529284120397223, + -1.4147444305183166, + -1.309691446992411, + -1.2159938796062548, + -1.1352502685499515, + -1.0687556128281233, + -1.0174749935286702, + -0.9820247844664063, + -0.9626618612404169, + -0.9592810286717653, + -0.9714206905828131, + -0.9982765897186784, + -1.0387232540717246, + -1.091342603609472, + -1.1544590028499144, + -1.2261798939587576, + -1.3044410157016444, + -1.3870551087802927, + -1.4717629303165614, + -1.5562853513566373, + -1.6383752923687678, + -1.7158682631835434, + -1.7867303153080079, + -1.8491022849281868, + -1.9013393023838625, + -1.942044665974346, + -1.9700973215541153, + -1.9846723508954391, + -1.9852540471912026, + -1.9716413409696185, + -1.9439455294932066, + -1.90258045270601, + -1.848245444270199, + -1.7819015626136212, + -1.7047417698469738, + -1.618155871900901, + -1.5236911577194467, + -1.4230097757978228, + -1.317843960345023, + -1.209950265125882, + -1.1010639795399968, + -0.992854888406696, + -0.8868854946656145, + -0.78457275391851, + -0.6871542732759156, + -0.5956598068295971, + -0.51088873933375, + -0.43339409194132233, + -0.363473413122903, + -0.301166738530087, + -0.24626162009969962, + -0.19830504177255892, + -0.15662186144447213, + -0.12033925066576467, + -0.08841644939995026, + -0.05967901672916556, + -0.03285664319020344, + -0.006623499340311741, + 0.020359969522763702, + 0.0494049292021785, + 0.08175285740824534, + 0.11853617248006364, + 0.16074185292572474, + 0.20917903330914436, + 0.26445145926429386, + 0.32693555889358733, + 0.39676474267707146, + 0.4738203829490435, + 0.5577297510588102, + 0.6478710098950857, + 0.7433851760837417, + 0.8431947845096741, + 0.9460288124712117, + 1.0504532562016913, + 1.1549066028749377, + 1.2577393103670116, + 1.3572562983266099, + 1.4517613703126373, + 1.5396024300692737, + 1.6192163269310553, + 1.6891721666719188, + 1.748211954887356, + 1.7952874995446007, + 1.829592586247193, + 1.8505895519453646, + 1.858029517554331, + 1.8519656939212927, + 1.8327593450238042, + 1.801078173008185, + 1.7578870772166337, + 1.7044314290562212, + 1.6422131917176035, + 1.5729603936942818, + 1.4985906332914414, + 1.4211694436338655, + 1.3428644802576466, + 1.265896602853245, + 1.1924890063365414, + 1.1248156120110915, + 1.064949955690187, + 1.01481580553766, + 0.9761407080721679, + 0.9504135970182509, + 0.9388475079620381, + 0.942348324257214, + 0.9614903391422581, + 0.9964992589592037, + 1.04724309657987, + 1.1132312169132192, + 1.193621602239822, + 1.2872362088251124, + 1.3925840925891895, + 1.5078917952869069, + 1.6311403082304925, + 1.7601077723347482, + 1.892416935054735, + 2.0255862700024103, + 2.1570835764860075 + ], + [ + 2.2471617656586265, + 2.3712125667080097, + 2.4870420580806663, + 2.59238920428549, + 2.685186120722605, + 2.7636025023919117, + 2.8260846271134916, + 2.8713880368413887, + 2.898603151832364, + 2.9071732413828264, + 2.8969043574471094, + 2.867967029244015, + 2.8208897132694846, + 2.756544189178236, + 2.676123283004089, + 2.5811114805138735, + 2.4732491607323404, + 2.3544913287853997, + 2.226961854586502, + 2.0929043264748404, + 1.9546307042565636, + 1.8144690024266314, + 1.6747112506007669, + 1.537562964046955, + 1.4050953131053026, + 1.279201107391526, + 1.1615556108677072, + 1.0535830796685914, + 0.9564297691231247, + 0.8709439933573977, + 0.7976636442820527, + 0.7368113910548597, + 0.6882975908843646, + 0.6517307520208179, + 0.6264352046680837, + 0.6114754599144238, + 0.6056865749449312, + 0.6077096987354857, + 0.6160318496582337, + 0.6290288779352969, + 0.6450104940333529, + 0.6622662006007278, + 0.6791109514042769, + 0.6939293761850519, + 0.705217454939718, + 0.711620597642406, + 0.7119671839474797, + 0.7052967394085463, + 0.6908820670815371, + 0.6682448124144597, + 0.6371641110157996, + 0.5976781488790879, + 0.5500786483628021, + 0.4948984760353252, + 0.4328927457758149, + 0.3650139577999896, + 0.29238186733774507, + 0.2162489116719119, + 0.13796213775721514, + 0.058922661821573664, + -0.019456245031484985, + -0.09579131671978132, + -0.16877056359473175, + -0.23719254502575363, + -0.30000258497578625, + -0.35632495174691653, + -0.40549012762449893, + -0.4470564212429724, + -0.48082532192392147, + -0.5068501572952296, + -0.5254377890918234, + -0.537143262772507, + -0.5427575098891733, + -0.5432883833706738, + -0.5399354804376423, + -0.5340593713129042, + -0.5271460000747092, + -0.520767153135105, + -0.5165379976044935, + -0.5160727734735875, + -0.5209397779791303, + -0.5326168062732618, + -0.5524482088584856, + -0.5816046931866748, + -0.6210469350942663, + -0.6714939768182953, + -0.7333972743546668, + -0.8069211206571989, + -0.8919300159726545, + -0.9879833862821156, + -1.0943378695780708, + -1.209957202035587, + -1.3335295466926493, + -1.4634919207502386, + -1.5980611986874476, + -1.73527100153171, + -1.873013632011946, + -2.009086084741856, + -2.1412390533317827, + -2.267227775141371, + -2.3848635013509085, + -2.4920643565465253, + -2.586904358753152, + -2.6676594077354396, + -2.7328491156017325, + -2.781273447745253, + -2.812043261708247, + -2.824603973792934, + -2.818751744738366, + -2.7946417526258154, + -2.752788309074225, + -2.6940567691708464, + -2.6196473817136536, + -2.5310714194359236, + -2.4301201142224, + -2.31882709537872, + -2.199425185546602, + -2.074298545031936, + -1.945931267794593, + -1.816853618376496, + -1.6895871565061076, + -1.5665900235977512, + -1.4502036621821415, + -1.342602205530296, + -1.2457457111842976, + -1.1613383203333034, + -1.0907923072090764, + -1.03519884179659, + -0.9953061285994756, + -0.9715054078868299, + -0.9638251180784423, + -0.9719333232801357, + -0.9951483132038681, + -1.0324570885909703, + -1.0825412585238285, + -1.14380970119777, + -1.2144371810691572, + -1.2924079766346734, + -1.375563457771075, + -1.461652462337173, + -1.5483832607282855, + -1.633475865698734, + -1.7147134437201235, + -1.7899916133644191, + -1.857364474890154, + -1.9150863018399356, + -1.96164793781777, + -1.9958070768627976, + -2.0166117605730007, + -2.023416595483669, + -2.0158913759199373, + -1.994021986098272, + -1.9581036459660004, + -1.908726753417087, + -1.846755756455414, + -1.7733016581339454, + -1.6896889105180921, + -1.597417587747052, + -1.4981218392353128, + -1.3935257094817137, + -1.285397468790803, + -1.175503628108191, + -1.0655638104994425, + -0.9572076216717559, + -0.8519346031951518, + -0.7510782662840338, + -0.6557750933832512, + -0.5669392622147431, + -0.4852436957749635, + -0.4111078758836862, + -0.3446926814877253, + -0.285902330491452, + -0.23439332003849445, + -0.18959007955234072, + -0.15070687801852917, + -0.11677536631628474, + -0.08667699093209086, + -0.059179390749259556, + -0.032975786941370586, + -0.006726299858511377, + 0.02089992190591183, + 0.051182895124779186, + 0.08531144397222183, + 0.12434537821029366, + 0.1691812292834616, + 0.22052247383018025, + 0.27885505793101234, + 0.3444288982175607, + 0.4172458812340103, + 0.4970547140852635, + 0.5833528016798888, + 0.6753951432796197, + 0.7722100582232688, + 0.8726213722359847, + 0.9752765261943593, + 1.07867991290392, + 1.1812306083416804, + 1.281263545479341, + 1.3770930842721518, + 1.4670578631218807, + 1.5495657768915483, + 1.623137915456869, + 1.686450315187425, + 1.7383724232843047, + 1.7780012504548663, + 1.8046902891701395, + 1.8180724002579076, + 1.818076016767656, + 1.8049341773120378, + 1.7791860774187427, + 1.741671012457459, + 1.6935147748526214, + 1.636108756854968, + 1.5710821934282875, + 1.5002681532370357, + 1.4256640449553915, + 1.3493875471607055, + 1.2736289893683974, + 1.2006013062860952, + 1.1324887546951867, + 1.0713956207569717, + 1.0192961539509158, + 0.9779869419847612, + 0.9490428893179239, + 0.9337778815965645, + 0.9332111112038799, + 0.9480399078401046, + 0.9786197657199392, + 1.0249520892916892, + 1.0866799964554268, + 1.1630923265327606, + 1.2531358043861116, + 1.3554351168771026, + 1.468320468057232, + 1.5898619997389372, + 1.7179102987976689, + 1.8501420657535423, + 1.9841098944710565, + 2.1172950132553647, + 2.247161765658627 + ], + [ + 2.3351488544517998, + 2.4548978440495572, + 2.564931222906877, + 2.6631026828195252, + 2.74748719579868, + 2.8164222858572323, + 2.8685433186137073, + 2.9028119994921378, + 2.9185374334890217, + 2.9153892770668257, + 2.893402701386167, + 2.8529750812066212, + 2.7948545206147677, + 2.7201205204856085, + 2.630157278537765, + 2.526620286487863, + 2.411397045936121, + 2.2865628614246343, + 2.154332782307023, + 2.017010851941947, + 1.8769378812130633, + 1.736438992124245, + 1.597772175594692, + 1.4630790757049916, + 1.3343391513876548, + 1.2133282775007654, + 1.1015827326397631, + 1.0003693838229628, + 0.9106627217765383, + 0.833129228855805, + 0.7681193789522995, + 0.7156673795929023, + 0.6754985755305934, + 0.6470442451814817, + 0.6294633409208192, + 0.6216705559538661, + 0.6223699483588375, + 0.6300932206807949, + 0.6432416443563546, + 0.660130534906463, + 0.6790351282384408, + 0.6982366818438203, + 0.7160676277335009, + 0.7309546364450074, + 0.7414585124824653, + 0.746309929491718, + 0.7444401260449188, + 0.7350058172131452, + 0.7174077297060669, + 0.6913023353660988, + 0.656606534978064, + 0.6134952272034228, + 0.5623918813442088, + 0.503952412939985, + 0.43904283335177763, + 0.3687113041509471, + 0.2941553702877448, + 0.216685269062677, + 0.13768431177155158, + 0.058567409036420805, + -0.01926114258748439, + -0.09444947728615274, + -0.1657384558105142, + -0.2319993564943435, + -0.29226794553010477, + -0.3457740047015473, + -0.3919655126390547, + -0.43052681428030504, + -0.46139026907818786, + -0.48474103765740306, + -0.5010148448005839, + -0.510888739333749, + -0.5152650540516566, + -0.5152489466470662, + -0.5121200711694329, + -0.5072990845515098, + -0.5023098302551008, + -0.4987381575831922, + -0.49818842769089566, + -0.5022388234068886, + -0.5123966179140471, + -0.5300545660996993, + -0.5564495616693246, + -0.5926246533576853, + -0.6393954359320666, + -0.6973217280273722, + -0.7666853217010786, + -0.8474744410588883, + -0.9393753830071531, + -1.0417716361893565, + -1.153750588841665, + -1.2741177472535177, + -1.401418198444916, + -1.5339648682588392, + -1.6698729538732027, + -1.807099752074796, + -1.9434889654708618, + -2.076818451655083, + -2.204850288167995, + -2.3253819612608044, + -2.436297450675485, + -2.5356169768700787, + -2.6215442015811155, + -2.692509726814761, + -2.7472098200484782, + -2.7846394026539043, + -2.804118471710258, + -2.8053112792617596, + -2.7882377639625218, + -2.7532769138038224, + -2.7011619307639463, + -2.6329672640798023, + -2.550087773633719, + -2.454210473920226, + -2.347279487584956, + -2.231455001240849, + -2.109067161155247, + -1.9825659689110067, + -1.8544683342694122, + -1.7273035118135063, + -1.6035581878202636, + -1.4856224932107944, + -1.3757381971181173, + -1.2759502841027914, + -1.1880630375867354, + -1.1136016446239982, + -1.053780205302223, + -1.0094768770855134, + -0.9812167139991488, + -0.9691625768764746, + -0.973114298416492, + -0.9925160902289994, + -1.026471983160138, + -1.073768901761772, + -1.1329067934214805, + -1.2021350667822932, + -1.2794944466685778, + -1.3628632273549988, + -1.450006805681205, + -1.538629302619, + -1.6264260381566868, + -1.7111356107733782, + -1.7905903495877906, + -1.8627639539861074, + -1.9258152109329818, + -1.97812678231348, + -2.0183381809544128, + -2.0453722012505677, + -2.0584542348860366, + -2.057124079883672, + -2.041240037711492, + -2.01097528379199, + -1.9668066867747722, + -1.9094964366475267, + -1.840067016618668, + -1.7597702144067173, + -1.6700510111763047, + -1.572507307387721, + -1.468846541338813, + -1.3608403258541695, + -1.2502782697693247, + -1.1389221626330825, + -1.0284616832096356, + -0.9204727454446859, + -0.8163795208313857, + -0.7174210755299292, + -0.6246234367591313, + -0.538777759066585, + -0.46042510076917037, + -0.3898481482166188, + -0.3270700449479333, + -0.27186029885627466, + -0.2237475578037886, + -0.1820388673453811, + -0.14584485778852274, + -0.11411015592727894, + -0.0856481832660697, + -0.059179390749259535, + -0.03337189274425693, + -0.006883402476738426, + 0.02159666119897243, + 0.05330602909111218, + 0.08937050659325003, + 0.13076802153799827, + 0.17829676694602034, + 0.23254830429659207, + 0.29388636429668435, + 0.362431934419862, + 0.43805505946060713, + 0.5203736071284284, + 0.6087590696981503, + 0.702349289521891, + 0.8000678154371843, + 0.900649423360648, + 1.002671172052449, + 1.1045882183051878, + 1.2047734883978547, + 1.3015601978269231, + 1.3932861317852097, + 1.4783385466775538, + 1.5551985295293294, + 1.6224836581300468, + 1.6789878400932863, + 1.7237172729042778, + 1.75592155794929, + 1.7751191172783214, + 1.7811161996206653, + 1.774018918571829, + 1.7542379370471535, + 1.7224855938222656, + 1.67976545575069, + 1.6273544684006347, + 1.566778063677867, + 1.4997787608629347, + 1.4282789629393353, + 1.3543387989736115, + 1.2801099918793775, + 1.2077868359009674, + 1.139555446911375, + 1.0775424991011635, + 1.0237646825017082, + 0.9800801064302185, + 0.9481428345031703, + 0.929361668219735, + 0.9248641998718712, + 0.9354670339795843, + 0.9616529324947434, + 1.0035554761366898, + 1.0609516563623445, + 1.133262623951542, + 1.2195626255932346, + 1.3185959639335245, + 1.4288016240757813, + 1.5483450252098854, + 1.6751561844022784, + 1.8069734248035163, + 1.9413916264201163, + 2.075913907442604, + 2.2080055406273953, + 2.3351488544518 + ], + [ + 2.4203004322797246, + 2.5347286327946383, + 2.6380174300250983, + 2.7281534139120867, + 2.803370719875938, + 2.8621887944884437, + 2.903443672874759, + 2.9263120526666264, + 2.93032762116176, + 2.915389277066826, + 2.8817610813107217, + 2.8300639682059585, + 2.761259443917109, + 2.676625689006126, + 2.5777266611527607, + 2.466374958644056, + 2.3445893509081634, + 2.2145480057193576, + 2.078538540760292, + 1.9389060976563126, + 1.7980006777394806, + 1.6581249897227788, + 1.5214840399784972, + 1.3901376467773723, + 1.2659569819488456, + 1.150586138960054, + 1.0454095980249827, + 0.9515263097726847, + 0.8697309529555953, + 0.8005027428072853, + 0.7440019794130563, + 0.7000743344828669, + 0.6682626849427259, + 0.6478261174805908, + 0.6377655541372383, + 0.6368552894985521, + 0.6436795889305168, + 0.6566733780430225, + 0.6741659590634702, + 0.6944266223143671, + 0.7157109821114269, + 0.7363068570049982, + 0.754578534516177, + 0.7690083097688418, + 0.7782342643662418, + 0.7810833544926445, + 0.7765990028861638, + 0.7640625348061901, + 0.7430079596962543, + 0.7132297738122145, + 0.6747836402444977, + 0.6279799869266732, + 0.5733707457373178, + 0.511729632062508, + 0.44402652974997353, + 0.37139669708495887, + 0.2951056414623462, + 0.21651062050289466, + 0.13701981270245123, + 0.05805025917532399, + -0.019014291801943067, + -0.09286450466676435, + -0.1623044360972575, + -0.22628732579299443, + -0.28394723341345063, + -0.33462566469149435, + -0.3778924599270274, + -0.41356036703143245, + -0.4416928852662697, + -0.46260514064916186, + -0.4768577352595079, + -0.485243695774963, + -0.4887688268647408, + -0.4886259479821979, + -0.48616365324207994, + -0.4828503793338871, + -0.48023469210234426, + -0.4799028052972302, + -0.48343442240403456, + -0.4923580423962082, + -0.5081068913676524, + -0.5319766336999349, + -0.5650859788187029, + -0.6083412335586053, + -0.6624057572605595, + -0.727675159219819, + -0.8042589388588122, + -0.8919691114355172, + -0.990316190101899, + -1.0985127129517476, + -1.2154843158615816, + -1.339888163100654, + -1.4701383625719537, + -1.6044378157674395, + -1.7408157885048599, + -1.8771703413786307, + -2.0113146323134283, + -2.141026000863109, + -2.2640966675727907, + -2.378384833794492, + -2.481864949091779, + -2.572675925332552, + -2.649166118549442, + -2.7099339707017993, + -2.7538633019391434, + -2.7801523675005684, + -2.788335939023671, + -2.7782998342648653, + -2.7502874980718652, + -2.7048984265538434, + -2.643078421160844, + -2.566101855061348, + -2.4755463260158375, + -2.373260253194416, + -2.2613241455917104, + -2.142006422681108, + -2.017714799970473, + -1.8909443599295144, + -1.7642235097048342, + -1.6400590791259526, + -1.5208818344462365, + -1.4089936745044433, + -1.306517736735596, + -1.2153525716514189, + -1.1371314477200654, + -1.0731877263559322, + -1.024527101959689, + -0.9918073381556689, + -0.9753259525507421, + -0.9750161128458307, + -0.9904508115855033, + -1.0208551899961615, + -1.0651266880296704, + -1.1218625125978503, + -1.1893937435487822, + -1.265825241377667, + -1.3490803857424583, + -1.436949562817277, + -1.5271412350227187, + -1.6173343707245724, + -1.7052309853899645, + -1.7886075499958025, + -1.8653640570134389, + -1.9335695981170906, + -1.9915033992352604, + -2.0376903753578732, + -2.0709304066842273, + -2.0903206957568634, + -2.0952707382265983, + -2.085509623524614, + -2.061085571416709, + -2.0223578014808306, + -1.9699810202561094, + -1.9048829905289137, + -1.8282358145256679, + -1.741421713568917, + -1.6459942173362943, + -1.543635783066778, + -1.4361129462973745, + -1.3252301580509838, + -1.212783487595929, + -1.1005153644517782, + -0.9900714984563505, + -0.8829610534010867, + -0.7805210596599705, + -0.6838859367200271, + -0.5939628605148816, + -0.5114135564449803, + -0.43664293086066186, + -0.36979477585631915, + -0.3107545989829868, + -0.25915944556627984, + -0.2144144013613495, + -0.17571529182391335, + -0.14207693564568763, + -0.11236616838465968, + -0.08533873058028199, + -0.059679016729165514, + -0.03404160936453013, + -0.00709347803575295, + 0.02244429267224809, + 0.055756368427093306, + 0.0938957037648092, + 0.13774976399434602, + 0.1880113443399478, + 0.24515478074088395, + 0.3094182067077131, + 0.3807923536677536, + 0.45901622229280525, + 0.5435797736914734, + 0.633733606589693, + 0.7285054043478, + 0.8267227584936807, + 0.9270418078883133, + 1.0279809789453038, + 1.1279589764181588, + 1.2253360596249112, + 1.3184575485465575, + 1.4056984403563855, + 1.4855079812922083, + 1.5564530323464525, + 1.6172590902636288, + 1.666847877305608, + 1.7043704929510208, + 1.7292352262176436, + 1.741129256067051, + 1.7400336162138998, + 1.7262309659536519, + 1.7003058862595906, + 1.6631376059828609, + 1.615885251910201, + 1.5599659039911373, + 1.4970259185616928, + 1.4289061533262197, + 1.357601883926579, + 1.2852183392021495, + 1.2139228972560132, + 1.145895074267605, + 1.0832755003229604, + 1.0281151097402612, + 0.9823257765361859, + 0.9476335986355838, + 0.9255359777467944, + 0.9172635568139458, + 0.9237479656250493, + 0.9455961901616523, + 0.9830722258725887, + 1.0360865029988464, + 1.104193387543762, + 1.1865968689607196, + 1.2821643498114883, + 1.389448258311229, + 1.5067150165715244, + 1.6319807200821128, + 1.76305272187862, + 1.8975761719005015, + 2.033084441760334, + 2.167052270477849, + 2.2969504000099517, + 2.420300432279725 + ], + [ + 2.501896078262448, + 2.610029528346626, + 2.705682337051223, + 2.7869910389423413, + 2.852363893053102, + 2.900514822912944, + 2.9304904171070087, + 2.9416893752811033, + 2.933873964527746, + 2.9071732413828264, + 2.8620779905945035, + 2.799427528625409, + 2.720388712727318, + 2.6264276806957403, + 2.519275017597278, + 2.4008851997173344, + 2.273391298979231, + 2.1390560399359315, + 2.000220383527081, + 1.8592508651819988, + 1.718486938296695, + 1.5801895671200399, + 1.4464922759002705, + 1.3193557947591978, + 1.200527348885612, + 1.0915055186525875, + 0.99351145716084, + 0.9074670920259656, + 0.8339807639463577, + 0.7733405700474622, + 0.7255154897776726, + 0.6901641799423176, + 0.6666511380294127, + 0.6540697539246931, + 0.6512716038367361, + 0.6569011908315234, + 0.6694352074580104, + 0.6872252906632259, + 0.7085431600837464, + 0.7316269797403816, + 0.7547277613325324, + 0.7761546351754471, + 0.7943178520545398, + 0.807768444860752, + 0.8152335710888927, + 0.8156466737345233, + 0.8081717358210803, + 0.7922210592085295, + 0.767466167522146, + 0.7338416117012736, + 0.6915416402793126, + 0.6410098804271522, + 0.5829223553813709, + 0.5181643346098859, + 0.4478016706437254, + 0.373047416962649, + 0.2952246411374097, + 0.21572644359841, + 0.13597426251272796, + 0.05737558756012109, + -0.018717781144207944, + -0.09104980844718445, + -0.15849755781564748, + -0.2201047792861632, + -0.2751108456154959, + -0.3229742517179242, + -0.3633900338824898, + -0.39630062331748495, + -0.4218998192683837, + -0.4406297459758035, + -0.4531708405465291, + -0.46042510076916987, + -0.463492998400106, + -0.4636446299918181, + -0.462285829696662, + -0.460920102769342, + -0.46110735127432606, + -0.4644204518806522, + -0.47240080730490064, + -0.48651402632000124, + -0.5081068913676523, + -0.538366747512325, + -0.5782843923095137, + -0.6286214644091013, + -0.6898832213490175, + -0.7622974666326631, + -0.8458002360244572, + -0.9400286867416313, + -1.0443214549778927, + -1.1577265613842485, + -1.2790167553724014, + -1.406712002097477, + -1.5391086353890184, + -1.6743145302507445, + -1.8102894940994363, + -1.9448899405504003, + -2.075916796706692, + -2.201165507445387, + -2.3184769403671113, + -2.4257879644567235, + -2.5211804749436597, + -2.6029276664605883, + -2.6695364157415193, + -2.7197847224087095, + -2.752753269806197, + -2.7678503046330487, + -2.7648291910166916, + -2.7437981678497447, + -2.705222023488522, + -2.649915594769529, + -2.5790291930392484, + -2.4940262537327205, + -2.3966536932372455, + -2.288905632756225, + -2.172981309331162, + -2.0512381351500557, + -1.9261409843053188, + -1.8002088783586931, + -1.6759603061529247, + -1.5558584476929276, + -1.4422575757450466, + -1.3373518819598893, + -1.2431279174520296, + -1.1613217522442938, + -1.093381845881367, + -1.0404384855651596, + -1.0032804916729323, + -0.9823397173019611, + -0.9776836827617084, + -0.9890164922318416, + -1.0156879828392051, + -1.0567108609740021, + -1.110785391517816, + -1.1763310273889254, + -1.2515242037470198, + -1.3343413772866823, + -1.4226062697582378, + -1.5140401790990485, + -1.6063141536196595, + -1.697101786163267, + -1.7841313769148799, + -1.8652362357037329, + -1.9384019465967597, + -2.001809497968102, + -2.053873287999708, + -2.0932731460231264, + -2.118979660979285, + -2.130272275778735, + -2.126749786316767, + -2.108333071862689, + -2.075260074840236, + -2.0280732379144975, + -1.967599790112357, + -1.8949254469030192, + -1.8113622474998015, + -1.7184113922404236, + -1.6177220603597697, + -1.5110472809444913, + -1.4001979951371686, + -1.2869964842055561, + -1.1732303450943844, + -1.060608172456166, + -0.9507180545743564, + -0.8449899114298816, + -0.7446625984885555, + -0.6507565723034828, + -0.5640527669995969, + -0.48507816788655084, + -0.41409839396841874, + -0.35111741940720986, + -0.2958843796485728, + -0.24790722558750258, + -0.20647281343798168, + -0.1706728532982997, + -0.13943498991635644, + -0.1115581586122009, + -0.08575125098447846, + -0.060674041627104144, + -0.03497927069653245, + -0.007354749201265406, + 0.02343564497991729, + 0.058513182153148956, + 0.0988487502711529, + 0.14523153687888182, + 0.19824277174459495, + 0.2582352466678416, + 0.32531917874906235, + 0.39935481850621396, + 0.4799520288080098, + 0.5664768791043651, + 0.6580651164713076, + 0.7536421951901425, + 0.8519493745130003, + 0.9515752343031859, + 1.0509918144537922, + 1.1485944600538078, + 1.2427443533655995, + 1.3318126384050175, + 1.4142249962385334, + 1.4885055103047975, + 1.5533186716814147, + 1.6075084140659088, + 1.6501331364029697, + 1.6804957659374562, + 1.69816803370208, + 1.7030082751427635, + 1.695172227283314, + 1.67511646661657, + 1.6435943145035432, + 1.6016442247329203, + 1.550570856366604, + 1.4919192193727067, + 1.4274424562173347, + 1.3590639851481237, + 1.288834876268958, + 1.2188874560080363, + 1.1513862360611278, + 1.0884773367780702, + 1.0322376203359556, + 0.9846247646926217, + 0.9474294947561922, + 0.922231142705167, + 0.9103576359535115, + 0.9128509105975066, + 0.9304386227029282, + 0.9635128825052882, + 1.0121165710593227, + 1.0759376190986978, + 1.1543114382230397, + 1.2462314996361612, + 1.3503678602730311, + 1.4650932450477616, + 1.5885161118076054, + 1.7185199568497118, + 1.8528079676872757, + 1.9889519998499725, + 2.1244447490649456, + 2.2567539117849322, + 2.38337707764465, + 2.5018960782624484 + ], + [ + 2.5792454563125053, + 2.680163451055105, + 2.767353468253092, + 2.839117764978203, + 2.8940522109154303, + 2.931076115587536, + 2.94945472361546, + 2.948813868227932, + 2.9291464599173653, + 2.8908106813945134, + 2.834519957091673, + 2.7613249606069723, + 2.672588111925476, + 2.5699511934196146, + 2.455296875225466, + 2.3307050827026705, + 2.1984052578861277, + 2.0607256602653865, + 1.9200409176569533, + 1.778719073830141, + 1.6390693851007694, + 1.5032920932574276, + 1.3734313476182736, + 1.2513323661476954, + 1.1386038165009156, + 1.036586265360453, + 0.9463273918032225, + 0.8685644915019661, + 0.8037146175249886, + 0.7518725148489072, + 0.7128163141136958, + 0.6860207603630636, + 0.6706775692067741, + 0.665722330524194, + 0.6698672227272979, + 0.6816386625566292, + 0.6994188997540255, + 0.7214904755357399, + 0.7460824007406902, + 0.7714168753273289, + 0.7957553662942529, + 0.8174428861205197, + 0.8349493677399686, + 0.8469071134386994, + 0.8521434017731676, + 0.8497074658964876, + 0.8388912052422142, + 0.8192431565618418, + 0.7905754256780698, + 0.7529634635577716, + 0.7067387548191328, + 0.6524746689097515, + 0.5909658993366264, + 0.5232020800868318, + 0.4503363166328015, + 0.37364949794689284, + 0.29451136252183624, + 0.2143393728406791, + 0.13455650703010366, + 0.0565491022179691, + -0.018374119228616065, + -0.08902074177859011, + -0.15435002887857865, + -0.2135040241149318, + -0.2658335419755225, + -0.31091834200691776, + -0.3485809315922013, + -0.3788936083804056, + -0.40217852937933646, + -0.4190007754202441, + -0.43015456250936246, + -0.43664293086066136, + -0.439651413604006, + -0.4405163459303004, + -0.44068861772521145, + -0.4416937949211742, + -0.4450896337296716, + -0.45242208504920733, + -0.46518093177000036, + -0.48475621819871956, + -0.5123966179140467, + -0.5491708442824573, + -0.5959331375912739, + -0.653293765979269, + -0.7215953564175573, + -0.8008957298784193, + -0.8909577550263411, + -0.9912465612229352, + -1.1009342686566221, + -1.2189122055345483, + -1.3438103941871062, + -1.4740239043279413, + -1.607745497178674, + -1.7430038230846518, + -1.877706291670391, + -2.0096856111376438, + -2.136748895107074, + -2.2567281639627934, + -2.367531024835763, + -2.4671903013119363, + -2.5539114010919426, + -2.6261162568351746, + -2.6824827512254386, + -2.7219786401185355, + -2.7438891150237805, + -2.7478372950699526, + -2.7337971054143844, + -2.7020981797264505, + -2.653422614519828, + -2.5887935980877894, + -2.5095561318516744, + -2.417350252295743, + -2.3140773426705743, + -2.2018602908654623, + -2.0829983991736643, + -1.959918079433323, + -1.8351204700779349, + -1.7111271874309057, + -1.5904254702552878, + -1.4754139929575756, + -1.3683506085231896, + -1.2713032375603408, + -1.1861050458227775, + -1.1143149510628256, + -1.057184373499116, + -1.0156309956479705, + -0.9902201303791799, + -0.9811541148809596, + -0.9882699571675779, + -1.0110452654896585, + -1.048612294288841, + -1.0997797479611735, + -1.1630618003322657, + -1.2367136178525804, + -1.3187725222085624, + -1.4071037969956437, + -1.4994500364663004, + -1.5934828547026676, + -1.6868557227545429, + -1.7772566805053052, + -1.8624596797162982, + -1.940373354541205, + -2.009086084741856, + -2.0669063131074954, + -2.1123971997446813, + -2.144404838917921, + -2.1620794254057154, + -2.1648889328709022, + -2.1526250521652686, + -2.1254013281972277, + -2.083643625269074, + -2.028073237914497, + -1.9596831426280505, + -1.8797080510947586, + -1.7895890735534838, + -1.6909339281519657, + -1.58547373548805, + -1.4750175144952817, + -1.3614055445967113, + -1.246462778499554, + -1.131953479748256, + -1.0195382195487395, + -0.9107342995065321, + -0.8068805725742846, + -0.7091075161247895, + -0.6183132716944688, + -0.5351462091388888, + -0.4599944026954002, + -0.39298222707606845, + -0.33397409775645054, + -0.28258519572911134, + -0.2381988377926509, + -0.19998998346112637, + -0.16695421308019623, + -0.1379413726568934, + -0.11169296273820623, + -0.08688225436937197, + -0.06215604708218497, + -0.03617694370109855, + -0.0076650055009890115, + 0.024562330832865114, + 0.061553146377684276, + 0.10418774109755835, + 0.15315004100746152, + 0.20890448665434475, + 0.27167903541674454, + 0.3414547510019904, + 0.4179622820830985, + 0.5006853526095417, + 0.588871203494252, + 0.6815477437592617, + 0.7775469934238645, + 0.8755342349084464, + 0.974042138716294, + 1.0715089964969904, + 1.1663200836829146, + 1.25685108757753, + 1.3415124772988538, + 1.4187936609105798, + 1.4873057732634778, + 1.5458219656437573, + 1.5933141246697504, + 1.6289850316569132, + 1.6522950828575562, + 1.6629828229093455, + 1.6610786952540189, + 1.6469115804792707, + 1.621107872354549, + 1.5845830273383468, + 1.5385257119038913, + 1.4843748584612995, + 1.4237901202886911, + 1.3586163842231014, + 1.2908431526753747, + 1.2225597399686816, + 1.1559073386781613, + 1.0930290967465923, + 1.0360194034733472, + 0.9868736105099555, + 0.947439411956954, + 0.9193710754963333, + 0.9040876549108814, + 0.9027362247631708, + 0.9161610625541543, + 0.9448795651190729, + 0.9890655276858695, + 1.04854023975195, + 1.1227716659612033, + 1.2108817870127553, + 1.3116619800173743, + 1.4235961244169189, + 1.5448909333255845, + 1.6735128355029099, + 1.8072305744101773, + 1.9436625518339916, + 2.0803278277994437, + 2.2146995987931426, + 2.3442599148879415, + 2.466554364730183, + 2.579245456312506 + ], + [ + 2.6516941556906004, + 2.7445370361980004, + 2.822509057954231, + 2.884092576329796, + 2.9280829714296273, + 2.953614110147051, + 2.960176145785604, + 2.9476252550729125, + 2.9161851041588425, + 2.86644003176353, + 2.7993201342358156, + 2.7160786291176913, + 2.6182620562243852, + 2.507674043816007, + 2.386333518072231, + 2.2564283631468744, + 2.120265643468073, + 1.9802195771646378, + 1.8386784977127912, + 1.6979920589966275, + 1.560419926588594, + 1.4280831555603237, + 1.3029193836462198, + 1.1866428699298706, + 1.080710285899449, + 0.986293020817747, + 0.9042566004960886, + 0.8351476418047469, + 0.7791885789858002, + 0.736280206673006, + 0.7060118931936857, + 0.6876791309496644, + 0.6803079130450684, + 0.6826852612082105, + 0.6933950834584954, + 0.7108584144692414, + 0.7333769902139619, + 0.75917903369137, + 0.7864660820716441, + 0.8134596685534101, + 0.8384466848934091, + 0.8598222925540744, + 0.8761293205637941, + 0.8860931846560649, + 0.8886514825495883, + 0.8829775612641628, + 0.8684975105375441, + 0.8449002076948793, + 0.812140219382968, + 0.7704335498622659, + 0.7202464093981789, + 0.6622773550760324, + 0.5974333255814779, + 0.5268002468870048, + 0.4516090234651937, + 0.3731978461601191, + 0.2929718402754758, + 0.21236114347596902, + 0.13277854110750303, + 0.05557779558885152, + -0.017986213590482126, + -0.08679447148316075, + -0.14989693925763684, + -0.20654090565492464, + -0.25619381268035224, + -0.2985599340099914, + -0.33359044476273303, + -0.3614865934433263, + -0.3826958666355747, + -0.39790121986060484, + -0.4080036292751864, + -0.4140983939684183, + -0.41744578307225577, + -0.4194367715464736, + -0.42155473951385686, + -0.42533411905378254, + -0.43231705660690845, + -0.4440092164156126, + -0.4618358792133898, + -0.48709948988448676, + -0.5209397779791296, + -0.5642975164627472, + -0.6178828982927519, + -0.6821493994334811, + -0.7572738634535948, + -0.843143390184115, + -0.9393494428196977, + -1.0451894084849644, + -1.159675661116775, + -1.2815519871663155, + -1.4093170488018678, + -1.541254380640194, + -1.6754682490316453, + -1.809924551769527, + -1.942495804603826, + -2.0710091524468175, + -2.1932962604352686, + -2.307243885198803, + -2.4108439012269147, + -2.5022415618555636, + -2.5797808090905, + -2.642045510488786, + -2.687895593144722, + -2.7164971622946927, + -2.7273458323524276, + -2.720282657928173, + -2.6955022277031233, + -2.6535526706639656, + -2.5953275176051567, + -2.5220495562585707, + -2.4352470111326885, + -2.3367225644188574, + -2.2285159076078416, + -2.11286067050299, + -1.9921367112568804, + -1.8688188645250705, + -1.745423332025938, + -1.6244529585613265, + -1.5083426654285719, + -1.3994063114084878, + -1.2997862191666458, + -1.2114065427247698, + -1.135931561144967, + -1.0747298669158296, + -1.028845277569209, + -0.9989751391945823, + -0.9854565146448576, + -0.9882605616256368, + -1.0069952110965337, + -1.040916059229386, + -1.0889451913611257, + -1.1496974686848698, + -1.2215136323991045, + -1.3024994199500592, + -1.3905697477290142, + -1.4834968975084428, + -1.578961552828095, + -1.6746054686443068, + -1.768084524307012, + -1.8571209070740506, + -1.939553200908557, + -2.0133832124829194, + -2.0768184516550834, + -2.128309295022546, + -2.166579995694445, + -2.1906528567830126, + -2.199865056453604, + -2.193877794450149, + -2.1726776193143333, + -2.136569987356166, + -2.086165294072996, + -2.0223578014808306, + -1.946298056223231, + -1.8593595491586197, + -1.7631005035907739, + -1.6592217930834259, + -1.549522078142083, + -1.4358513118469645, + -1.3200637963613588, + -1.2039719744249604, + -1.089302112516366, + -0.9776529761154608, + -0.8704585139136063, + -0.7689554590856864, + -0.6741566246543281, + -0.5868305198968979, + -0.507487749492625, + -0.4363744808755787, + -0.37347308251069505, + -0.31850985116264824, + -0.2709695643385106, + -0.23011641953556491, + -0.19502075910590175, + -0.164590832548552, + -0.13760872054518308, + -0.11276944025877009, + -0.08872217193454146, + -0.06411249465764286, + -0.037624495522656606, + -0.008021622026235527, + 0.025814817958944455, + 0.06485054162776017, + 0.10986750596571328, + 0.16143828225199344, + 0.21990628613657973, + 0.2853724064513934, + 0.35768840922380785, + 0.43645731683657346, + 0.5210407803961039, + 0.6105732807432482, + 0.7039828148006892, + 0.8000175536388644, + 0.897277801088802, + 0.9942524409499128, + 1.0893589404306823, + 1.180985880508641, + 1.2675369129059004, + 1.3474750002017968, + 1.419365781402055, + 1.4819189204865062, + 1.534026339758857, + 1.5747963121864346, + 1.603582485603218, + 1.6200070342511312, + 1.6239772766442357, + 1.6156952596200274, + 1.5956599827119233, + 1.5646621203142135, + 1.5237712869563305, + 1.4743160786757594, + 1.417857306290597, + 1.35615500974611, + 1.2911300022922165, + 1.2248208350209713, + 1.1593371926686913, + 1.0968108275039639, + 1.0393452071179141, + 0.988965092206679, + 0.9475672708955358, + 0.9168736564439656, + 0.8983879056801274, + 0.8933566373694886, + 0.9027362247631704, + 0.9271660073004748, + 0.966948615966041, + 1.022037938762464, + 1.0920350712314328, + 1.1761924063572582, + 1.2734258231637725, + 1.3823347386327034, + 1.501229597992326, + 1.6281661985930007, + 1.7609860769135188, + 1.8973620407969352, + 2.034847803424719, + 2.170930574896429, + 2.30308539407544, + 2.428829939403707, + 2.5457785437796554, + 2.651694155690601 + ], + [ + 2.718629227616585, + 2.802605654115625, + 2.870682464907581, + 2.9215349657417526, + 2.9541682589626497, + 2.9679381249589563, + 2.9625639755343838, + 2.9381335920211904, + 2.8950995561869735, + 2.8342674792135987, + 2.756776328456394, + 2.6640713385961647, + 2.5578701686380962, + 2.4401231247512962, + 2.312968407345364, + 2.178683455707987, + 2.0396335522216202, + 1.8982189085261336, + 1.756821486584237, + 1.617752807756341, + 1.4832039727684667, + 1.3551990556740772, + 1.2355529471063402, + 1.125834608516057, + 1.0273365625472222, + 0.9410512886312539, + 0.867655021171146, + 0.8074992646040428, + 0.7606101497129928, + 0.7266955635025262, + 0.7051597954976613, + 0.6951252611365356, + 0.6954606924776435, + 0.7048150319073423, + 0.7216561296820654, + 0.7443132342460914, + 0.7710221780263187, + 0.7999721028738533, + 0.829352539858725, + 0.8573996583633519, + 0.8824405292566104, + 0.9029343055207827, + 0.9175093094909854, + 0.9249951266184508, + 0.9244489385346922, + 0.9151754797758498, + 0.8967401689672664, + 0.8689751423451088, + 0.8319781007239166, + 0.7861040657793162, + 0.7319503231464282, + 0.6703350037652619, + 0.6022699167633501, + 0.5289283928910865, + 0.4516090234651937, + 0.37169628278081857, + 0.2906190994531743, + 0.2098084922198642, + 0.13065540714117002, + 0.054469885366371935, + -0.017557346087034038, + -0.0843898328149945, + -0.14517596410606115, + -0.1992743350391602, + -0.24627321420184958, + -0.28600358545104265, + -0.31854539969593487, + -0.3442268497293787, + -0.36361666317991576, + -0.3775095910845765, + -0.38690544776257374, + -0.3929822270760673, + -0.3970639764873165, + -0.40058424957824074, + -0.40504607633044487, + -0.411979485427843, + -0.4228976816881524, + -0.4392530226553747, + -0.4623939502933518, + -0.4935240162384985, + -0.5336640925629266, + -0.5836187855616517, + -0.6439479695060343, + -0.7149442330553918, + -0.7966168861428963, + -0.8886830132262817, + -0.9905658838283065, + -1.1014008476304675, + -1.220048653597355, + -1.3451159453821238, + -1.474982503276546, + -1.607834630782496, + -1.7417039258223617, + -1.8745105366587205, + -2.004109884302737, + -2.1283417395692275, + -2.245080476392626, + -2.3522852852931333, + -2.448049123006997, + -2.5306451965625305, + -2.598569832041624, + -2.6505806587274425, + -2.685729146407393, + -2.7033866647199685, + -2.703263385449459, + -2.685419517906543, + -2.650268549876976, + -2.598572357636051, + -2.531428243552738, + -2.4502481540777716, + -2.356730519668832, + -2.2528253368259477, + -2.1406932765066666, + -2.022659748729862, + -1.9011649765759664, + -1.7787112310062865, + -1.6578084485256623, + -1.5409194949467275, + -1.4304063493445043, + -1.3284784624254358, + -1.2371444934351123, + -1.158168550595049, + -1.0930319538027327, + -1.042901407527643, + -1.0086043196668004, + -0.9906118322874508, + -0.9890299468146385, + -1.0035989337808298, + -1.0337010204270634, + -1.078376153019298, + -1.1363454394959862, + -1.2060416966397427, + -1.2856463587692941, + -1.3731318560272023, + -1.4663084432918603, + -1.5628743586264722, + -1.6604681154358292, + -1.7567216869016185, + -1.8493133258594812, + -1.9360187783737592, + -2.0147596944171546, + -2.0836481130933544, + -2.1410260008631097, + -2.185498946701087, + -2.2159632648772702, + -2.2316259204597944, + -2.2320168705860945, + -2.2169936016299054, + -2.1867378339719896, + -2.1417445574291434, + -2.082803746792851, + -2.01097528379199, + -1.927557774785703, + -1.8340520986287834, + -1.7321206428997695, + -1.623543286047388, + -1.5101712556113263, + -1.3938800367968531, + -1.2765225203285369, + -1.1598835634115534, + -1.0456370932654586, + -0.9353068102690627, + -0.8302314491666963, + -0.7315354345855103, + -0.64010562443447, + -0.5565746752370856, + -0.48131139114500804, + -0.4144182376538185, + -0.3557360164633093, + -0.30485551414963785, + -0.26113575897446806, + -0.22372835173203545, + -0.19160718225895274, + -0.16360270697210666, + -0.13843984796861739, + -0.11477848368695691, + -0.0912554371448134, + -0.06652683192168699, + -0.03930967921777155, + -0.008421581639830547, + 0.027182509750311796, + 0.06837747044747265, + 0.11583999149471037, + 0.17002613834107685, + 0.23115508998930956, + 0.2991995076565138, + 0.37388280932014395, + 0.4546834464035258, + 0.5408460960376862, + 0.6313995014575263, + 0.7251805187425945, + 0.8208637647276785, + 0.9169961126451054, + 1.0120351527018796, + 1.1043906276519968, + 1.1924677712534926, + 1.2747114224330411, + 1.3496497614720158, + 1.4159365173147138, + 1.472390527185954, + 1.5180315903592811, + 1.5521116456889756, + 1.5741404152762812, + 1.5839047916199005, + 1.5814813994783656, + 1.5672419326424911, + 1.5418510456899963, + 1.506256767099819, + 1.4616735881987528, + 1.4095585676008262, + 1.351580968445396, + 1.2895861113853904, + 1.2255542757537523, + 1.1615556108677092, + 1.0997021257276738, + 1.0420979057114532, + 0.9907887571735894, + 0.9477125037437008, + 0.9146511509121567, + 0.8931860982764586, + 0.8846575124192116, + 0.8901288793452294, + 0.9103576359535106, + 0.9457726380241196, + 0.9964590610873083, + 1.062151154217178, + 1.1422330795418185, + 1.2357478766499517, + 1.3414143958287545, + 1.4576518519644748, + 1.5826114666832576, + 1.714214494423361, + 1.8501957728350058, + 1.9881518030194003, + 2.1255922539692027, + 2.2599937009022764, + 2.38885435108872, + 2.509748484656453, + 2.6203793423889583, + 2.7186292276165847 + ], + [ + 2.7794843710934973, + 2.853878018024044, + 2.9114661202915983, + 2.951128153656772, + 2.9720873801782397, + 2.973926972376252, + 2.9565980107416183, + 2.9204191828372092, + 2.866068209278921, + 2.79456521809754, + 2.7072484796015934, + 2.6057430942537736, + 2.4919233918632337, + 2.367869947567909, + 2.2358222450797047, + 2.0981281174829127, + 1.9571911681251564, + 1.815417417112286, + 1.6751624316261622, + 1.5386801804834493, + 1.4080748055503272, + 1.2852564260641606, + 1.171901988535422, + 1.0694220473138683, + 0.9789342122956798, + 0.9012438343273886, + 0.8368323197518899, + 0.7858532776820066, + 0.7481365116250501, + 0.723199675755791, + 0.7102672301577093, + 0.7082961532928841, + 0.7160077081337892, + 0.7319244147476391, + 0.7544112601586851, + 0.7817200789733866, + 0.8120359678675588, + 0.8435245552588292, + 0.8743789352627078, + 0.9028650925602898, + 0.9273646915531024, + 0.9464141778825381, + 0.9587392410905601, + 0.9632838112935236, + 0.9592329070523097, + 0.946028812471213, + 0.923380234861115, + 0.8912642756713569, + 0.8499212322480276, + 0.7998424316532751, + 0.7417514756574896, + 0.6765794436234018, + 0.6054347531322618, + 0.5295685130208854, + 0.4503363166328015, + 0.36915751171464534, + 0.287473045306916, + 0.2067030156570791, + 0.1282050678051889, + 0.05323474497234763, + -0.017091145131415755, + -0.08182717010533555, + -0.14022704500989983, + -0.19176579074320912, + -0.2361556792922646, + -0.27335552872069263, + -0.3035730842810326, + -0.32726040248050614, + -0.34510233770703336, + -0.35799841149892425, + -0.36703851813415717, + -0.37347308251069467, + -0.3786784331557694, + -0.3841182808923167, + -0.39130229893576246, + -0.40174288028687166, + -0.4169112011475318, + -0.4381937433199073, + -0.4668504234760193, + -0.5039754428606685, + -0.5504619082062405, + -0.6069711848996207, + -0.673907828934074, + -0.7514008077127282, + -0.8392915647105894, + -0.9371293131870626, + -1.0441737637855308, + -1.1594053044483008, + -1.2815424632628856, + -1.4090663003324406, + -1.5402511981523277, + -1.6732013557107366, + -1.8058921437531879, + -1.9362153510945788, + -2.0620272477721757, + -2.181198312874526, + -2.2916634250795167, + -2.3914712936195213, + -2.4788319171641957, + -2.5521608978304244, + -2.610119506309016, + -2.651649490334846, + -2.676001740133179, + -2.682758068136412, + -2.6718455227131064, + -2.6435428329454025, + -2.598478769318824, + -2.5376223989698037, + -2.462265409135808, + -2.3739968638983475, + -2.274670942507009, + -2.166368378026379, + -2.051352468566369, + -1.9320206661606618, + -1.8108528571715121, + -1.6903575302307094, + -1.5730170811377173, + -1.4612335274886117, + -1.3572758985037408, + -1.263230527706041, + -1.1809554086739813, + -1.112039678675062, + -1.0577691738864836, + -1.0190988560672352, + -0.9966327474548827, + -0.9906118322874505, + -1.00091019403537, + -1.0270394617774121, + -1.0681614419277106, + -1.123108617515046, + -1.1904120111453385, + -1.26833573416124, + -1.3549173875573453, + -1.448013343713255, + -1.5453478252604793, + -1.6445646111099532, + -1.7432801418877013, + -1.8391367691101335, + -1.9298548949943648, + -2.0132827827115327, + -2.087442879275682, + -2.1505735835181077, + -2.2011655074453875, + -2.2379914178113047, + -2.2601292024896855, + -2.2669773792890395, + -2.25826284890676, + -2.2340407842214085, + -2.1946867403599146, + -2.1408812592118225, + -2.0735874236397476, + -1.9940219860982715, + -1.9036208495765041, + -1.8039998119884875, + -1.6969115951204672, + -1.5842002633580865, + -1.4677541936608403, + -1.34945878532409, + -1.231150095396135, + -1.1145705533667454, + -1.001327847817048, + -0.8928579897344694, + -0.7903934444365154, + -0.694937089413782, + -0.6072426023353291, + -0.5278017158517796, + -0.4568385979325987, + -0.39431143278308917, + -0.3399210925387882, + -0.2931266085872075, + -0.25316697808021127, + -0.21908868032631407, + -0.18977813332506557, + -0.16399819634036888, + -0.14042772321310454, + -0.11770309560626149, + -0.09446061743019331, + -0.06937863248856307, + -0.0412182373698284, + -0.008861500502459272, + 0.028653834915524572, + 0.07210409342305346, + 0.12205466775439312, + 0.17884095212614892, + 0.24255572824179705, + 0.31304335549907586, + 0.389900939338134, + 0.4724864694804014, + 0.5599337376019529, + 0.6511736663858686, + 0.7449615134175583, + 0.8399092583114778, + 0.9345223437389527, + 1.027239824184004, + 1.116476883285126, + 1.2006686139261527, + 1.27831391656185, + 1.3480183616450736, + 1.4085348817744943, + 1.4588012078807917, + 1.4979730402626574, + 1.525452047720871, + 1.5409079139137567, + 1.5442937962729748, + 1.5358547257621613, + 1.516128651393021, + 1.485940017369517, + 1.4463859484282828, + 1.3988153056966321, + 1.3448010565258925, + 1.2861065727342524, + 1.2246466282094337, + 1.162444004927578, + 1.1015827326397647, + 1.044159078797126, + 0.992231469376874, + 0.9477705564521909, + 0.9126106536498183, + 0.8884037358295913, + 0.8765771449152724, + 0.8782960610536477, + 0.8944316891315669, + 0.9255359777467932, + 0.9718235342095705, + 1.03316122876352, + 1.109065798095827, + 1.1987095668179442, + 1.3009342106114492, + 1.4142722909177756, + 1.5369761031525195, + 1.6670532030548724, + 1.8023078132966428, + 1.940387168872027, + 2.078831738606334, + 2.2151281643535046, + 2.3467636914694534, + 2.4712808256457555, + 2.586330943137281, + 2.6897256040446114, + 2.7794843710934978 + ], + [ + 2.833744724070259, + 2.897920340523585, + 2.9445149759269227, + 2.9726217683140232, + 2.981688731202419, + 2.9715299840398037, + 2.9423287261690847, + 2.8946318994385267, + 2.8293366817663608, + 2.747669147509871, + 2.651155615684333, + 2.5415873794314825, + 2.4209796654725646, + 2.291525806839753, + 2.155547722717059, + 2.0154438830847425, + 1.873635991053736, + 1.7325156410085523, + 1.5943922053946498, + 1.461443167385453, + 1.3356680516851713, + 1.21884701302647, + 1.1125050238453629, + 1.0178824621180496, + 0.9359127409302632, + 0.8672074469826404, + 0.8120492702397556, + 0.7703928158829179, + 0.7418731973445812, + 0.7258221202250452, + 0.7212909859654653, + 0.7270803757111707, + 0.7417751229634235, + 0.7637840520831366, + 0.7913833516626596, + 0.8227624698179467, + 0.8560713645166772, + 0.8894679173914147, + 0.9211643246038024, + 0.949471312997574, + 0.9728390930414413, + 0.9898940502442934, + 0.9994702914844287, + 1.000635299083108, + 0.9927090999888591, + 0.97527652619436, + 0.9481923212068629, + 0.9115790315197357, + 0.8658178069432475, + 0.8115324146921672, + 0.7495669447460472, + 0.6809578438636108, + 0.6069010587404274, + 0.5287151915704454, + 0.4478016706437254, + 0.3656030121136261, + 0.28356029487838375, + 0.20307098752457917, + 0.12544825407913324, + 0.051882824253419446, + -0.016591554994670108, + -0.07912816464032556, + -0.13509205206411745, + -0.1840787984494695, + -0.22592680687516922, + -0.26072277210219114, + -0.2888001710814861, + -0.31073079551783883, + -0.3273095297882554, + -0.33953275451184917, + -0.3485709236044813, + -0.355736016463309, + -0.36244470309375254, + -0.3701781750347201, + -0.3804396859056988, + -0.3947109099424778, + -0.4144082633193336, + -0.4408403403917181, + -0.47516759498169053, + -0.518365345952449, + -0.5711911077876307, + -0.6341571426111732, + -0.7075090026091235, + -0.7912106842871013, + -0.8849368520654793, + -0.9880724124465962, + -1.09971953576909, + -1.2187120349864782, + -1.3436368246573305, + -1.4728620030765307, + -1.6045709307361429, + -1.7368015233532426, + -1.867489841454929, + -1.9945169444252269, + -2.1157578879092935, + -2.229131681834678, + -2.332650993671032, + -2.4244703788156543, + -2.502931847330568, + -2.5666066330905535, + -2.6143321164220894, + -2.6452429625119476, + -2.65879567258086, + -2.654785899805667, + -2.633358053478863, + -2.5950068987489305, + -2.5405710510073316, + -2.471218458895702, + -2.3884241632300713, + -2.2939408061393176, + -2.189762540802389, + -2.078083153013815, + -1.9612493474492865, + -1.841710270448577, + -1.721964434440366, + -1.604505274487406, + -1.4917666031987231, + -1.3860692355299866, + -1.2895700296123014, + -1.2042145343030473, + -1.1316943499661833, + -1.0734101980948048, + -1.0304415604709019, + -1.0035235928907351, + -0.9930318458515667, + -0.9989751391945818, + -1.0209967440396912, + -1.0583838281415734, + -1.1100849248390667, + -1.1747349958253253, + -1.2506874786476343, + -1.3360525455035561, + -1.4287406545142232, + -1.5265103517381335, + -1.6270191846977005, + -1.7278765184576272, + -1.8266970049670597, + -1.9211534463811173, + -2.0090278135913056, + -2.0882592316483253, + -2.1569878228507187, + -2.2135934039932756, + -2.2567281639627943, + -2.285342598294493, + -2.298704144714175, + -2.2964081439323345, + -2.278380938562572, + -2.2448751153459963, + -2.1964570871331444, + -2.1339873965977696, + -2.0585942988779946, + -1.971641340969619, + -1.8746897978144834, + -1.7694569451815185, + -1.6577712447293511, + -1.541525584790393, + -1.4226297598286655, + -1.3029633813169805, + -1.1843303928103384, + -1.0684163128598785, + -0.9567492524377833, + -0.8506656507417072, + -0.7512815472699834, + -0.6594700621315943, + -0.5758455943945507, + -0.5007550739972922, + -0.43427642076003553, + -0.37622417893102994, + -0.3261621121498653, + -0.2834223663238055, + -0.24713064114802008, + -0.21623665903796846, + -0.18954908688587516, + -0.16577395463432218, + -0.14355552795455245, + -0.12151853247644498, + -0.09831059551510628, + -0.07264376883502138, + -0.04333402271322834, + -0.009337656701478304, + 0.030216345377902857, + 0.07599888163781303, + 0.1284589557714325, + 0.18780814629383924, + 0.25401174633558027, + 0.32678682476191895, + 0.4056072786495395, + 0.48971576443601, + 0.5781422150040141, + 0.6697284771450721, + 0.7631584426596283, + 0.8569929008963586, + 0.9497082145245797, + 1.0397378169953546, + 1.12551545213832, + 1.2055190256866872, + 1.2783139165618502, + 1.342594603101723, + 1.3972234959673453, + 1.441265934361578, + 1.4740203938794, + 1.4950430705445368, + 1.5041661435150508, + 1.5015091751551692, + 1.4874832778015672, + 1.4627878573600106, + 1.4283999303501054, + 1.3855561985174207, + 1.3357282489636333, + 1.2805914232977609, + 1.2219880621723838, + 1.1618859776313601, + 1.1023331312626068, + 1.045409598024984, + 0.9931779711875954, + 0.9476334111164363, + 0.9106545583977796, + 0.8839565194605941, + 0.8690470906565291, + 0.8671873156214798, + 0.8793573723405775, + 0.9062286630106643, + 0.9481428345031685, + 1.0050982934869332, + 1.076744602048215, + 1.1623849512820799, + 1.2609867164215514, + 1.3711999023592842, + 1.4913830976698093, + 1.6196363731371535, + 1.7538403918071455, + 1.8917008458724962, + 2.0307972050020364, + 2.1686346542695323, + 2.302698020260312, + 2.4305064332138917, + 2.549667452473389, + 2.6579293925934864, + 2.753230627993466, + 2.833744724070259 + ], + [ + 2.8809512194075952, + 2.934360003636522, + 2.9695494235400997, + 2.985833964007534, + 2.9828910802608624, + 2.9607674395555876, + 2.9198768464211904, + 2.8609899139115753, + 2.7852157389932564, + 2.693976029428481, + 2.588972307715663, + 2.472146980507485, + 2.3456392054937623, + 2.211736608543504, + 2.0728239990412485, + 1.9313302985515273, + 1.789674935614538, + 1.6502149667542578, + 1.5151941605525692, + 1.3866952285433085, + 1.2665963050751337, + 1.1565326702459107, + 1.0578645782348737, + 0.9716519011412856, + 0.8986361295661621, + 0.8392300898355869, + 0.7935155484480757, + 0.761248681709537, + 0.741873197344581, + 0.7345407098434087, + 0.7381377969584894, + 0.751319005369779, + 0.7725449329771995, + 0.8001243969653259, + 0.8322596035697998, + 0.8670931695813294, + 0.9027558085917744, + 0.9374134876383563, + 0.9693128823175489, + 0.9968240099607502, + 1.0184789997076347, + 1.0330060632110019, + 1.039357857555249, + 1.0367335794987598, + 1.0245942936039447, + 1.0026711720524493, + 0.9709665065264261, + 0.9297475378632363, + 0.8795333325943723, + 0.8210751123497059, + 0.7553306080070719, + 0.683433161238608, + 0.606656427978891, + 0.5263756480253701, + 0.4440265297499736, + 0.36106285665281523, + 0.2789139518067428, + 0.19894313642387673, + 0.12240828985459791, + 0.05042556107062061, + -0.01606280243542112, + -0.07631565122751258, + -0.12981442963264653, + -0.17627839359115072, + -0.2156731378398296, + -0.24821219443291817, + -0.2743516456277831, + -0.29477787679601336, + -0.3103887746299123, + -0.32226884793726984, + -0.33165890837994905, + -0.33992109253878783, + -0.3485001310034373, + -0.35888187160897617, + -0.3725501398618768, + -0.3909430680457779, + -0.4154100441901769, + -0.4471704224619804, + -0.4872750977758633, + -0.5365719804221779, + -0.5956763128985689, + -0.6649466531922835, + -0.7444672093971824, + -0.8340370532085171, + -0.9331665684218156, + -1.0410813093331237, + -1.156733257413255, + -1.2788192774680358, + -1.4058063913852736, + -1.5359633131012844, + -1.6673975269853214, + -1.7980970475123539, + -1.9259758745317528, + -2.0489220587893158, + -2.1648472191851296, + -2.271736308458183, + -2.3676964087897945, + -2.4510033536885167, + -2.520145017191563, + -2.573860184885847, + -2.6111720217930583, + -2.631415277383115, + -2.6342565148677637, + -2.6197068169293614, + -2.5881265991522295, + -2.5402223512831985, + -2.4770353204429565, + -2.3999223447949087, + -2.3105292361894363, + -2.2107572912751032, + -2.102723678054884, + -1.9887165947413818, + -1.871146226332211, + -1.7524926284072526, + -1.6352517446613168, + -1.5218808127085535, + -1.4147444305183166, + -1.3160625429930517, + -1.2278615649582625, + -1.1519297842256946, + -1.0897780881592696, + -1.042606931740025, + -1.0112803175313683, + -0.996307391772505, + -0.9978320801138433, + -1.0156309956479694, + -1.0491196555252982, + -1.097366845350385, + -1.159116777525103, + -1.2328185054284275, + -1.3166618842728355, + -1.4086192158005284, + -1.5064915813960527, + -1.607958759893646, + -1.7106315449459608, + -1.8121052242342526, + -1.910012960265691, + -2.002077820511888, + -2.086162242932819, + -2.160313790498889, + -2.2228061434501747, + -2.272174398320834, + -2.3072438851988033, + -2.327151875737111, + -2.33136173008416, + -2.3196692168032245, + -2.2922009314114993, + -2.2494049316597637, + -2.192033896356887, + -2.1211212947842073, + -2.0379512211275435, + -1.9440226987911775, + -1.8410093892890018, + -1.730715746491895, + -1.6150307368019456, + -1.4958802974355032, + -1.3751797272440613, + -1.254787196932835, + -1.1364595284411794, + -1.0218113276506806, + -0.9122784622166242, + -0.8090867595709126, + -0.7132266620154648, + -0.6254344198387676, + -0.5461802335066223, + -0.47566357650245755, + -0.41381574585570347, + -0.3603095024498051, + -0.31457548249664263, + -0.2758248896402001, + -0.24307781831981448, + -0.2151964172576522, + -0.19092198077790157, + -0.16891495813525972, + -0.14779679954950062, + -0.1261925139750801, + -0.10277279884281897, + -0.07629461643007929, + -0.0456391347465624, + -0.009846021739980807, + 0.03185682159189088, + 0.08002888342104275, + 0.13499867237122992, + 0.19685185432378743, + 0.26542622117367665, + 0.3403136394760886, + 0.4208689445165861, + 0.5062255636386824, + 0.5953174762856186, + 0.6869069516399653, + 0.7796173522132122, + 0.871970157135617, + 0.9624252456634554, + 1.0494233924613414, + 1.1314298638290823, + 1.206977969856766, + 1.2747114224330418, + 1.3334243732935198, + 1.3820980593356558, + 1.4199330629770868, + 1.4463763014366082, + 1.4611419878671035, + 1.4642259560835766, + 1.4559129055214026, + 1.43677629993466, + 1.407670837797964, + 1.3697175998051325, + 1.3242821645772542, + 1.2729461630469363, + 1.2174729104687314, + 1.1597679083731007, + 1.1018351431545785, + 1.045730219950525, + 0.9935114571608412, + 0.9471901261386733, + 0.9086810506838754, + 0.8797547811490769, + 0.8619925281174128, + 0.8567449813701159, + 0.8650960525998523, + 0.8878324671062653, + 0.9254199932453132, + 0.9779869419847588, + 1.0453153963357216, + 1.1268404458817036, + 1.2216575096127884, + 1.3285376354862621, + 1.445950472345682, + 1.5720944237666954, + 1.7049333186301079, + 1.8422387740515815, + 1.9816372866445213, + 2.120660971408368, + 2.2568007767062013, + 2.387560941082841, + 2.5105134246464114, + 2.6233510452383046, + 2.7239380777440014, + 2.8103571329965633, + 2.8809512194075957 + ], + [ + 2.9207044687937698, + 2.962888711323785, + 2.9863576603761066, + 2.9906529595831515, + 2.975684254936466, + 2.941730394920047, + 2.8894323245601963, + 2.819777852677085, + 2.7340786641004207, + 2.633940131928748, + 2.5212246546192656, + 2.398009394678813, + 2.2665394263101897, + 2.1291774054017747, + 1.9883509541874838, + 1.8464990028702495, + 1.7060183503293849, + 1.5692116952950694, + 1.4382383483968029, + 1.315068765343448, + 1.2014439439518532, + 1.0988406052599646, + 1.0084429345989028, + 0.9311214958490075, + 0.8674197552033756, + 0.8175484639875903, + 0.7813879580498114, + 0.7584982386747376, + 0.7481365116250497, + 0.7492816813975035, + 0.7606651314925115, + 0.780806972493692, + 0.808056811658903, + 0.8406379936323101, + 0.8766941842922588, + 0.9143371204836691, + 0.9516943285710262, + 0.9869556247797495, + 1.0184172498182211, + 1.04452255820617, + 1.0638982772889929, + 1.0753854696445564, + 1.0780644724447317, + 1.071273244753507, + 1.0546187247313696, + 1.0279809789453043, + 0.9915101109065658, + 0.9456160809168495, + 0.8909517696480477, + 0.8283897890855885, + 0.7589937022412878, + 0.6839844534433072, + 0.6047029305345916, + 0.5225696759827059, + 0.43904283335177763, + 0.35557545710185473, + 0.27357332625687336, + 0.1943543858431577, + 0.11911089460452197, + 0.048875284529896715, + -0.015509360939583277, + -0.07341342500304572, + -0.12443882878940839, + -0.16843057112307713, + -0.2054814228661229, + -0.23592964086105686, + -0.26034974898329427, + -0.27953661522619455, + -0.29448322947737254, + -0.30635275223681196, + -0.31644555576213407, + -0.3261621121498654, + -0.3369626942746986, + -0.3503249424537023, + -0.3677004099338872, + -0.39047123224418584, + -0.419908068240583, + -0.4571304341719853, + -0.5030704969061925, + -0.5584413099036452, + -0.6237103676241349, + -0.6990792234510229, + -0.7844697661450482, + -0.8795175840167474, + -0.9835726685550278, + -1.0957075245921917, + -1.2147325668339128, + -1.3392184974227492, + -1.4675251807801466, + -1.597836364770231, + -1.7281994454662364, + -1.8565693403171437, + -1.9808554246785974, + -2.098970402300731, + -2.2088799236439214, + -2.3086517383249947, + -2.396503170365673, + -2.470845737264376, + -2.53032579554111, + -2.5738601848858473, + -2.6006659582524443, + -2.610283423421637, + -2.6025918793722385, + -2.5778176044220964, + -2.536533838304276, + -2.479652692610051, + -2.4084091186565186, + -2.324337254054568, + -2.2292396543445236, + -2.125150089482425, + -2.014290742428872, + -1.8990247847308932, + -1.7818054183919096, + -1.6651225616598015, + -1.551448416427825, + -1.4431831852287964, + -1.342602205530296, + -1.2518057381750598, + -1.1726725860759957, + -1.10681863011875, + -1.055561253795451, + -1.019890489182722, + -1.0004475578537135, + -0.9975113050393726, + -1.0109928380877224, + -1.0404384855651578, + -1.0850409959352598, + -1.1436586994382443, + -1.214842168324934, + -1.296867733550023, + -1.3877770546956008, + -1.4854217981846523, + -1.5875123601787262, + -1.6916694777909724, + -1.7954775076025449, + -1.8965381154750436, + -1.9925231171008695, + -2.0812252346786018, + -2.160605590842949, + -2.228836845090298, + -2.284340988298648, + -2.325820944780576, + -2.352285285293134, + -2.363065524733079, + -2.357825660649683, + -2.336563798699465, + -2.299605904060424, + -2.247591908866931, + -2.1814545902266262, + -2.102391806814456, + -2.011832840167261, + -1.9113997257733555, + -1.8028645754967398, + -1.6881039839911187, + -1.5690516753756127, + -1.4476505810791669, + -1.3258055446540784, + -1.2053378244915154, + -1.0879425114630341, + -0.9751498970030126, + -0.8682917201620991, + -0.7684730924560486, + -0.6765507502222446, + -0.5931181194704027, + -0.5184975020483844, + -0.4527395087901138, + -0.3956296797878517, + -0.3467020487039188, + -0.30525923170899477, + -0.27039845662703194, + -0.24104279831064435, + -0.21597675590154178, + -0.1938851996975769, + -0.17339463253224352, + -0.15311565492105855, + -0.13168549610368818, + -0.10780947515400888, + -0.08030028745105562, + -0.0481140711789535, + -0.010382294619703242, + 0.03356138438639434, + 0.08416000313405989, + 0.1416184885920964, + 0.20589556235373568, + 0.2767025811338486, + 0.3535093566681494, + 0.43555681634005616, + 0.5218761867163947, + 0.6113142109644293, + 0.7025637522029734, + 0.7941989922557452, + 0.8847143126641828, + 0.9725658453176226, + 1.0562146062307494, + 1.1341700797582068, + 1.2050331031085302, + 1.2675369129059018, + 1.3205852565142178, + 1.3632865399176681, + 1.3949830794724656, + 1.415274644465442, + 1.424035618188437, + 1.421425263678146, + 1.4078907524453237, + 1.3841627961393632, + 1.3512439076331122, + 1.3103895048050656, + 1.263082252661734, + 1.2110002128026147, + 1.1559795292187909, + 1.099972521992486, + 1.0450021820120745, + 0.993114157234142, + 0.9463273918032236, + 0.9065846216292104, + 0.8757039426745943, + 0.8553326508039149, + 0.846904504925857, + 0.851601489381683, + 0.8703210488818606, + 0.9036496422139687, + 0.9518433124975524, + 1.014815805537657, + 1.0921345878673876, + 1.1830249267565263, + 1.2863820004233366, + 1.400790812669649, + 1.5245534969235386, + 1.655723414867362, + 1.7921452888752045, + 1.9315004594736684, + 2.0713562326270827, + 2.2092181799634036, + 2.3425841806249026, + 2.468998948110024, + 2.586107770415917, + 2.6917082074035052, + 2.783798535243182, + 2.8606218029715405, + 2.92070446879377 + ], + [ + 2.9526681417504257, + 2.9832650978089528, + 2.994797481145495, + 2.9870379841576846, + 2.9601292282325993, + 2.9145799121451597, + 2.851252735017348, + 2.7713443884217686, + 2.676358099881236, + 2.5680693858700736, + 2.4484858321965004, + 2.3198018594692167, + 2.184349547846798, + 2.044546685631609, + 1.9028432683397158, + 1.7616677071889715, + 1.6233740077648249, + 1.4901911509619297, + 1.3641758499210919, + 1.2471697700758873, + 1.1407621867722124, + 1.0462589190443705, + 0.9646582224061591, + 0.8966341518102054, + 0.8425277224945832, + 0.8023460058043725, + 0.7757691039475297, + 0.7621647567711847, + 0.7606101497129925, + 0.769920319597617, + 0.7886823981236386, + 0.8152947955375842, + 0.8480103124455783, + 0.8849820787236752, + 0.9243111571702476, + 0.9640946173222004, + 1.002472882430475, + 1.0376751799173052, + 1.0680619819367838, + 1.0921634064318375, + 1.1087126581447206, + 1.1166737205896293, + 1.1152626606759692, + 1.103962073649917, + 1.0825283730975863, + 1.0509918144537929, + 1.0096493261581392, + 0.9590504056257442, + 0.8999765129598977, + 0.8334145594247007, + 0.7605252360139046, + 0.6826070562961938, + 0.6010570938798758, + 0.5173294756881558, + 0.4328927457758148, + 0.3491872393440221, + 0.26758360233758804, + 0.1893435586887683, + 0.11558396578480946, + 0.04724511067229044, + -0.014935912872646487, + -0.0704460401140563, + -0.11901072955002397, + -0.1606017271745088, + -0.19543788847453025, + -0.22397902734774391, + -0.2469129435295625, + -0.2651359587780126, + -0.27972746243996793, + -0.2919191247822171, + -0.30305957759830365, + -0.3145754824966419, + -0.3279300048430111, + -0.34457978306160664, + -0.36593152703144893, + -0.3932993944820912, + -0.4278642801517066, + -0.47063610931570937, + -0.5224201561485365, + -0.5837883099734532, + -0.6550560911757959, + -0.7362660763978385, + -0.8271782331212709, + -0.9272674908409798, + -1.0357286940489687, + -1.151488895724064, + -1.2732267636283776, + -1.3993986901188429, + -1.5282710239555986, + -1.6579576840683758, + -1.7864622744353564, + -1.9117236997114693, + -2.0316641860679403, + -2.1442385433262316, + -2.2474834646809203, + -2.339565650194016, + -2.418827560160527, + -2.4838296539993996, + -2.5333880483875144, + -2.5666066330905544, + -2.582902811851848, + -2.5820261856743, + -2.564069663238987, + -2.529472663976767, + -2.4790162690377664, + -2.4138103694499446, + -2.3352730543688422, + -2.245102670744987, + -2.1452431643416965, + -2.03784347642615, + -1.9252119165761092, + -1.809766556281045, + -1.6939827872907345, + -1.5803392605063131, + -1.4712634638181852, + -1.369078209587696, + -1.2759502841027892, + -1.1938424627213067, + -1.1244700167001433, + -1.069262732758989, + -1.0293333367767403, + -1.0054530618062374, + -0.9980349314866899, + -1.007125147040324, + -1.0324027738054344, + -1.0731877263559315, + -1.1284568544751166, + -1.1968677403722643, + -1.2767896352163677, + -1.3663407947375967, + -1.4634313233941723, + -1.5658105080553923, + -1.6711175184114222, + -1.7769342748771693, + -1.8808392374301426, + -1.9804608517137856, + -2.073529402209498, + -2.1579260659427955, + -2.231728032912377, + -2.2932486593736714, + -2.3410717447638874, + -2.3740791693141143, + -2.3914712936195217, + -2.3927796995607804, + -2.377872039583096, + -2.3469489538133295, + -2.3005332070899467, + -2.2394513859607286, + -2.164808674459414, + -2.07795739263193, + -1.9804601293187731, + -1.874048427029947, + -1.7605780788231051, + -1.6419821724719883, + -1.5202230641157815, + -1.3972444809459545, + -1.2749249399855, + -1.1550336280599716, + -1.0391898177937386, + -0.9288267977346915, + -0.8251611740162165, + -0.7291682593988008, + -0.641564106700133, + -0.562794571550909, + -0.4930316084545527, + -0.4321768188463666, + -0.3798720849047033, + -0.3355169429095046, + -0.29829217948423703, + -0.2671889773630813, + -0.24104279831064424, + -0.21857107295160252, + -0.1984136734719686, + -0.17917507775279948, + -0.1594670941459733, + -0.13795100574785857, + -0.11337801188796132, + -0.08462689210852618, + -0.05073789292826211, + -0.010941938229416916, + 0.0353156123888483, + 0.08835728963473931, + 0.14826239779330233, + 0.21486275652142597, + 0.2877454231082218, + 0.3662623345995265, + 0.4495466280779853, + 0.5365352223159214, + 0.6259970794264587, + 0.7165664152165498, + 0.8067799955142, + 0.8951175461594881, + 0.980044219425333, + 1.06005400156203, + 1.1337129164589714, + 1.1997008798947315, + 1.256851087577532, + 1.3041858775015358, + 1.3409480916799679, + 1.3666270719981595, + 1.3809785570575377, + 1.384037898186843, + 1.3761261795240425, + 1.357849005072228, + 1.3300879004656667, + 1.2939844642281266, + 1.2509175878798748, + 1.2024742417189414, + 1.1504144890005972, + 1.0966315413793857, + 1.0431077990570408, + 0.9918679267723226, + 0.9449300988130783, + 0.9042566004960895, + 0.8717049986015574, + 0.8489810883446632, + 0.8375947896361542, + 0.8388201013895356, + 0.853660130960909, + 0.8828180986346207, + 0.9266750772049235, + 0.9852750675298196, + 1.0583178363109544, + 1.145159756535648, + 1.2448226985407151, + 1.356010825233301, + 1.4771349533978058, + 1.6063439589366513, + 1.7415625318645482, + 1.880534431140303, + 2.020870253823362, + 2.160098620938882, + 2.2957195966101756, + 2.4252590996110492, + 2.546323038951292, + 2.6566499081503667, + 2.754160606445105, + 2.83700431853342, + 2.9035993760653844, + 2.9526681417504257 + ], + [ + 2.9765718111406216, + 2.995316769641939, + 2.9947974811454956, + 2.975019622059029, + 2.936357602713908, + 2.879545696600934, + 2.8056610943966396, + 2.716099290169622, + 2.6125423884278547, + 2.4969210875709704, + 2.371371243799755, + 2.2381860460158878, + 2.099764933666736, + 1.9585604634180986, + 1.8170243752128865, + 1.6775541226557562, + 1.5424411164559506, + 1.413821883317106, + 1.2936332673762072, + 1.1835726989652349, + 1.0850644286607627, + 0.9992324764579992, + 0.9268808801346017, + 0.868481647561149, + 0.8241706293002747, + 0.7937513349613545, + 0.7767065241894965, + 0.772217215596663, + 0.779188578985799, + 0.7962820122254843, + 0.8219525580982139, + 0.8544906919125865, + 0.8920674106414049, + 0.9327814812136206, + 0.9747076610662898, + 1.015944689158142, + 1.0546618606269096, + 1.0891430426636968, + 1.1178270617750135, + 1.1393434915040344, + 1.1525429923340391, + 1.1565214987600783, + 1.1506377087441533, + 1.1345235039036607, + 1.1080871104481547, + 1.0715089964969908, + 1.0252306863120284, + 0.9699368515237821, + 0.9065312091177611, + 0.8361069115362386, + 0.7599122518561788, + 0.679312623200412, + 0.5957497634426027, + 0.5106993816074299, + 0.4256282995459244, + 0.3419522505922507, + 0.26099545582362504, + 0.18395304882585972, + 0.11185734280922864, + 0.04554883150629919, + -0.014347309864745285, + -0.06743860197946232, + -0.11357605609030169, + -0.1528580973078434, + -0.1856275075107557, + -0.21246146149101633, + -0.2341549107209501, + -0.2516977435213904, + -0.26624631398389575, + -0.2790900805930435, + -0.29161422532094816, + -0.3052592317089945, + -0.3214784833483056, + -0.3416950000808606, + -0.36725845670434526, + -0.3994036272272036, + -0.43921136677055245, + -0.4875731837700488, + -0.5451603686298818, + -0.6123985335413632, + -0.6894482845482031, + -0.7761925944295572, + -0.8722312773694251, + -0.9768827878624018, + -1.0891933813270889, + -1.2079534870876008, + -1.3317209604228426, + -1.458850703894253, + -1.5875299835905567, + -1.715818617429243, + -1.841693083995373, + -1.9630934948572225, + -2.077972293587202, + -2.184343492908674, + -2.280331238870648, + -2.3642164983821305, + -2.4344807037347884, + -2.4898452540827196, + -2.5293058676860123, + -2.5521608978304258, + -2.558032866847735, + -2.546882633158995, + -2.5190157818479983, + -2.475081015665876, + -2.4160605160156923, + -2.343252437650814, + -2.258245891778247, + -2.1628889552950312, + -2.059250414495223, + -1.9495761055594272, + -1.8362408476719383, + -1.7216970743943318, + -1.608421352228005, + -1.4988600300394275, + -1.395375287815588, + -1.3001928474120599, + -1.2153525716514189, + -1.142663112170812, + -1.0836616723795363, + -1.0395798320323166, + -1.011316237149383, + -0.9994167967791868, + -1.0040628503410884, + -1.025067580321716, + -1.0618807495227012, + -1.1136016446239956, + -1.1789999133357205, + -1.2565437955887786, + -1.3444350745979456, + -1.4406499154565833, + -1.5429846210214044, + -1.6491052205509364, + -1.7565997186237168, + -1.8630317723861263, + -1.9659945355677786, + -2.0631634086264166, + -2.1523464657637947, + -2.231531390564452, + -2.298927841097923, + -2.353004280253488, + -2.3925184449752357, + -2.416540785504793, + -2.4244703788156547, + -2.416043004855356, + -2.391331265447531, + -2.3507368190332185, + -2.2949749950968292, + -2.2250522354485702, + -2.1422369810350053, + -2.048024778437312, + -1.9440985159121749, + -1.8322848114499766, + -1.7145076621648194, + -1.592740523330319, + -1.4689580151689143, + -1.3450884554520135, + -1.2229683861775589, + -1.1043002039029226, + -0.9906139172825805, + -0.8832339442269743, + -0.7832517277161707, + -0.6915047970724779, + -0.6085627342849635, + -0.534720327017247, + -0.46999800570837913, + -0.4141494763328632, + -0.3666762775893643, + -0.3268488161229011, + -0.2937332702368186, + -0.26622360549522717, + -0.24307781831981426, + -0.22295741931164903, + -0.2044690891637878, + -0.18620738861467961, + -0.16679738117434312, + -0.1449360338608253, + -0.11943129670411544, + -0.08923782536927728, + -0.053488401275196176, + -0.011520217730942028, + 0.03710466403655475, + 0.09258523197999148, + 0.15487418949660164, + 0.22367757030649807, + 0.29846131965674894, + 0.37846467730613215, + 0.4627200195926086, + 0.5500786483628015, + 0.6392418579604443, + 0.7287964718153227, + 0.8172539210080413, + 0.903091841558646, + 0.984797097557633, + 1.0609090954333342, + 1.1300622417397566, + 1.1910264132366182, + 1.2427443533656017, + 1.2843649824227255, + 1.3152717080029093, + 1.335104945208641, + 1.343778199631523, + 1.3414872266727096, + 1.3287119543712798, + 1.3062110392290411, + 1.2750091110001394, + 1.2363769483844071, + 1.1918050083580962, + 1.1429709029468897, + 1.0917015742796017, + 1.0399310577829084, + 0.9896548408543788, + 0.9428819172781754, + 0.9015857036251115, + 0.8676550211711476, + 0.8428463544497375, + 0.8287385751339432, + 0.8266912679777475, + 0.8378077152206004, + 0.8629034890684876, + 0.9024814711622451, + 0.9567139664799776, + 1.0254324105665005, + 1.1081249874394161, + 1.2039422854194066, + 1.3117109241211642, + 1.4299548926773866, + 1.5569241516940537, + 1.6906298740657828, + 1.828885536985814, + 1.9693529332852973, + 2.109592048200171, + 2.2471136508184135, + 2.3794333802215144, + 2.5041260664391927, + 2.6188790168085787, + 2.7215430194438452, + 2.810179866807179, + 2.8831052826121866, + 2.9389262425621494, + 2.9765718111406216 + ], + [ + 2.9922132411047833, + 2.998941764225594, + 2.9863576603761066, + 2.9546995540689083, + 2.904570497089063, + 2.8369241536040386, + 2.7530431286081756, + 2.6545099564505454, + 2.543171439536106, + 2.4210971838300153, + 2.290533313741616, + 2.153852461032211, + 2.0135012078809362, + 1.871946221110381, + 1.7316203414763405, + 1.594869888257586, + 1.4639044052857801, + 1.3407500109223551, + 1.2272074229313563, + 1.1248156120110904, + 1.0348218978546457, + 0.9581591424848361, + 0.8954305211942902, + 0.8469021660269384, + 0.8125037849355533, + 0.7918371662630007, + 0.7841922877762769, + 0.7885705668007206, + 0.8037146175249877, + 0.828143727432674, + 0.8601941308079333, + 0.898063046599021, + 0.9398553632595819, + 0.9836317965276052, + 1.0274573187527505, + 1.069448660921341, + 1.1078197207890101, + 1.1409237716106195, + 1.1672914542385269, + 1.1856636485538175, + 1.1950184553962548, + 1.194591673921256, + 1.1838903277352348, + 1.1626989719855894, + 1.1310786982996304, + 1.089358940430683, + 1.0381223660106866, + 0.9781833143524924, + 0.9105604024261087, + 0.8364440669030357, + 0.7571599358914636, + 0.6741290265506998, + 0.5888258416398654, + 0.502735487336602, + 0.41731095516440997, + 0.3339317021252497, + 0.2538646254156627, + 0.1782284624071058, + 0.10796255459446905, + 0.04380079832124235, + -0.013748531763672371, + -0.06441655488676348, + -0.10818078820692817, + -0.14526519613578476, + -0.17613328023700084, + -0.20147438710978, + -0.22218358928809373, + -0.2393356628382608, + -0.25415384072538344, + -0.26797415918833833, + -0.28220633178941473, + -0.2982921794842368, + -0.3176627125817741, + -0.3416950000808605, + -0.3716699725271007, + -0.40873228590830224, + -0.45385332660971006, + -0.5077983622210066, + -0.5710987418625763, + -0.6440299251697165, + -0.7265959742227809, + -0.8185209811366754, + -0.9192477297484432, + -1.0279437072170345, + -1.1435143949419684, + -1.2646235826893557, + -1.3897202698435, + -1.5170715478101058, + -1.644800702071525, + -1.770929635174237, + -1.893424596505182, + -2.010244114042372, + -2.1193879596921104, + -2.218945945026895, + -2.307145339179677, + -2.3823957255590305, + -2.4433301684106916, + -2.488841642815541, + -2.5181137905325457, + -2.530645196562532, + -2.526266534228616, + -2.505150096232636, + -2.467811411422954, + -2.4151028374466357, + -2.348199213396424, + -2.2685758492434953, + -2.1779793155354383, + -2.0783916729395253, + -1.9719889423809691, + -1.8610947587812299, + -1.7481302712191564, + -1.6355614467394104, + -1.52584500166133, + -1.4213742214186667, + -1.3244259367287958, + -1.237109900036876, + -1.161321752244292, + -1.0987006869881535, + -1.050592810173113, + -1.0180210587105418, + -1.0016623877290574, + -1.0018327636351405, + -1.018480315495736, + -1.0511868037789476, + -1.099177368226018, + -1.1613383203333025, + -1.2362425553681164, + -1.3221819786569318, + -1.4172061754426006, + -1.5191664069204391, + -1.625763890681105, + -1.7346012247122853, + -1.84323574272069, + -1.9492335465293555, + -2.05022294966001, + -2.143946085158135, + -2.228307479740963, + -2.3014184741904815, + -2.361636474614077, + -2.4075981481373847, + -2.4382458265690072, + -2.4528465488655447, + -2.451003353688517, + -2.4326586225272466, + -2.398089467101807, + -2.347895347305342, + -2.282978293069651, + -2.20451628065948, + -2.113930476693576, + -2.01284720769135, + -1.9030556356506982, + -1.786462218119503, + -1.6650431020939063, + -1.540795643199942, + -1.4156902540467933, + -1.2916237681738933, + -1.1703754591860787, + -1.0535667797458739, + -0.94262578402873, + -0.8387570726515308, + -0.7429179541418942, + -0.6558013554112662, + -0.5778258395206601, + -0.5091329066819124, + -0.4495915685119206, + -0.39881000072473344, + -0.35615390034289135, + -0.3207710046190952, + -0.29162107440190194, + -0.2675105085063075, + -0.24713064114801975, + -0.22909868450663098, + -0.21200021521617468, + -0.19443206858583664, + -0.17504449846091527, + -0.15258148394399249, + -0.12591811607378403, + -0.09409407665145259, + -0.05634232567452144, + -0.012112240618021216, + 0.038913403143019, + 0.09680805986440984, + 0.1613979249523155, + 0.2322654263955815, + 0.3087596094456326, + 0.3900131474470451, + 0.47496553803068475, + 0.5623918813442083, + 0.6509364897466577, + 0.7391504501863029, + 0.8255321545880857, + 0.9085697327141696, + 0.9867842682148212, + 1.0587726533635764, + 1.123248941960636, + 1.1790830930473586, + 1.225336059624914, + 1.2612902650192104, + 1.2864746227110961, + 1.3006833905604747, + 1.303988304044576, + 1.2967436015814444, + 1.279583734019831, + 1.2534137354732424, + 1.219392419225096, + 1.1789087457536898, + 1.1335518854112319, + 1.0850756615171588, + 1.035358206466065, + 0.9863577901778463, + 0.9400658835986346, + 0.8984585973363753, + 0.8634476848670942, + 0.8368323197518904, + 0.8202528463619609, + 0.8151476638640384, + 0.8227143345558245, + 0.8438759116641501, + 0.8792533607121615, + 0.9291448054353719, + 0.9935121674431122, + 1.0719755923140992, + 1.163815867886502, + 1.2679848477249092, + 1.3831236988421964, + 1.5075886024849443, + 1.6394833548357832, + 1.7766981453291295, + 1.9169536380937227, + 2.0578493505912108, + 2.1969152160765972, + 2.331665135738145, + 2.4596512743071486, + 2.578517830882256, + 2.6860530252772556, + 2.7802380792103425, + 2.85929204019806, + 2.921711392462453, + 2.966303521185682, + 2.9922132411047833 + ], + [ + 2.999460098067586, + 2.9941094124654115, + 2.9695494235401, + 2.9262496971574565, + 2.86503684465548, + 2.7870758806946947, + 2.6938440094524263, + 2.587097460897299, + 2.4688321628243313, + 2.341239179183571, + 2.2066559674899557, + 2.0675146048085393, + 1.9262882006443331, + 1.78543675439177, + 1.6473537239012548, + 1.5143145500325117, + 1.3884283303690863, + 1.2715937548835419, + 1.1654603092885845, + 1.0713956207569706, + 0.9904596688994897, + 0.9233864161161925, + 0.8705732298533095, + 0.8320782793861801, + 0.807625896183052, + 0.7966196944426709, + 0.7981630617605802, + 0.811086453632194, + 0.8339807639463562, + 0.8652359006909398, + 0.9030835752431634, + 0.9456432177595249, + 0.990969862596664, + 1.0371028079880424, + 1.0821138442561058, + 1.124153864799853, + 1.1614967233655946, + 1.1925792783601321, + 1.2160366681841863, + 1.2307319880924357, + 1.235779685693495, + 1.2305621551643486, + 1.2147391854455678, + 1.1882501006861823, + 1.1513086174149763, + 1.1043906276519972, + 1.0482152958103108, + 0.9837200253047775, + 0.9120300040863211, + 0.8344231730381244, + 0.7522915739582574, + 0.6671001219203183, + 0.5803439079832261, + 0.49350517102490754, + 0.40801108112838136, + 0.3251934514123901, + 0.24625144116568987, + 0.17221823202401407, + 0.10393255281123931, + 0.04201580026885952, + -0.013144644503113041, + -0.06140546672185617, + -0.10287057230758373, + -0.1378872630380759, + -0.16703553211218838, + -0.191110759825008, + -0.21110026202739993, + -0.22815430552510832, + -0.2435523504601048, + -0.258665406293199, + -0.27491549204010074, + -0.2937332702368184, + -0.31651497569075726, + -0.34457978306160636, + -0.3791287510796212, + -0.4212064458516788, + -0.47166628206337763, + -0.5311405305068896, + -0.6000158254718194, + -0.6784148689719697, + -0.7661848739353614, + -0.8628931192138368, + -0.9678298097960041, + -1.0800182504218079, + -1.1982321545378862, + -1.3210197278770188, + -1.4467339914876651, + -1.5735686471816317, + -1.6995986432048584, + -1.8228244731552063, + -1.941219139960173, + -2.0527766416927142, + -2.1555607891066164, + -2.2477531472781855, + -2.32769890618587, + -2.393949527236606, + -2.4453010837126503, + -2.480827311203324, + -2.4999065069643063, + -2.5022415618555653, + -2.4878725715428835, + -2.4571816510418145, + -2.4108897641078926, + -2.350045571847215, + -2.2760064985077095, + -2.19041240195747, + -2.0951524171964704, + -1.992325708922667, + -1.8841970195392863, + -1.7731480283235674, + -1.6616256425650444, + -1.5520884197030578, + -1.4469523688827413, + -1.3485373996476904, + -1.259015674172961, + -1.1803630777422975, + -1.1143149510628256, + -1.0623271291836012, + -1.025543207618971, + -1.004768809771426, + -1.000453464450276, + -1.0126805222012591, + -1.0411653486714478, + -1.085261836962483, + -1.1439770836442429, + -1.2159938796062513, + -1.2997004819181188, + -1.393226960846351, + -1.4944872613078766, + -1.6012259840822627, + -1.711068782293894, + -1.8215751856568498, + -1.9302926107352205, + -2.0348102912908588, + -2.1328118692098115, + -2.222125423310892, + -2.3007697795900053, + -2.366996040469144, + -2.419323390045313, + -2.4565683741990503, + -2.4778670152050433, + -2.482689296209787, + -2.4708457372643764, + -2.4424859769322964, + -2.3980894671018067, + -2.3384485787663, + -2.264644598536135, + -2.1780172650635983, + -2.0801286472706977, + -1.9727222985605881, + -1.8576787298734772, + -1.7369683269130616, + -1.6126028911715415, + -1.486587009272095, + -1.3608704501124562, + -1.2373027545590136, + -1.1175911189719785, + -1.0032625833143298, + -0.8956314193543927, + -0.7957724774679101, + -0.7045010952690725, + -0.6223600016876162, + -0.5496134704455322, + -0.48624879169938157, + -0.43198494455787734, + -0.3862881709268139, + -0.34839397723822146, + -0.3173349294336501, + -0.29197346211203024, + -0.271038798614518, + -0.2531669780802108, + -0.23694291065404463, + -0.22094333489485274, + -0.20377953315200306, + -0.18413867166158218, + -0.16082267203004974, + -0.13278358856978034, + -0.09915455987172539, + -0.05927552063440405, + -0.012712998109136378, + 0.04072652695693658, + 0.10099004625324079, + 0.16777841040646366, + 0.2405536676401134, + 0.31855316428322783, + 0.4008100397391313, + 0.48617958076506734, + 0.5733707457373173, + 0.6609820329083066, + 0.7475407509872428, + 0.8315446586523029, + 0.9115048741881093, + 0.9859889190339327, + 1.053662750619418, + 1.113330660720794, + 1.163971965220167, + 1.204773488397858, + 1.2351569478416533, + 1.254800472176927, + 1.263653629981915, + 1.2619455108184945, + 1.2501855742280414, + 1.2291571654446436, + 1.1999037828856582, + 1.1637083675197937, + 1.1220660633348891, + 1.0766510668192508, + 1.0292783373701397, + 0.981861075947354, + 0.9363649926503188, + 0.8947604723074509, + 0.858973808335412, + 0.8308387074353695, + 0.8120492702397565, + 0.8041156256403288, + 0.8083233397942498, + 0.8256976360267182, + 0.8569733510323828, + 0.9025714185794244, + 0.962582517580755, + 1.036758350662803, + 1.1245108363940015, + 1.2249193076032192, + 1.3367456143954615, + 1.4584568383150227, + 1.588255138341348, + 1.7241140746059493, + 1.8638205962054661, + 2.0050217392016316, + 2.1452749633225494, + 2.282100963938222, + 2.413037731875673, + 2.5356945991841027, + 2.647805004950394, + 2.747276741849093, + 2.832238500684417, + 2.901081615407349, + 2.952496022925421, + 2.985499587770468, + 2.999460098067586 + ], + [ + 2.9982510703398844, + 2.9808605982439467, + 2.9445149759269227, + 2.88991074998785, + 2.8180911180019272, + 2.730422616818316, + 2.628564588265357, + 2.51443214372676, + 2.390153502212413, + 2.2580227084870987, + 2.1204488453489954, + 1.9799029346768413, + 1.838863773462478, + 1.6997639724966855, + 1.5649374562033942, + 1.436569642593624, + 1.3166514534529719, + 1.2069382084203122, + 1.108914334970193, + 1.0237646825017073, + 0.9523530663263893, + 0.8952084903519828, + 0.8525193100444569, + 0.8241354044277398, + 0.8095782321888869, + 0.808058457147846, + 0.8185006470726522, + 0.8395743814999355, + 0.8697309529555943, + 0.90724471543012, + 0.9502580272962872, + 0.9968286556158071, + 1.0449784568586848, + 1.0927421266420685, + 1.138214818638242, + 1.1795974700144833, + 1.2152387366257493, + 1.2436725339507535, + 1.263650297044554, + 1.2741672115737361, + 1.2744818247727778, + 1.2641286159412108, + 1.2429232865796556, + 1.2109607158946174, + 1.1686057135243348, + 1.1164768832851266, + 1.0554240849576941, + 0.9865001413005908, + 0.9109275806033503, + 0.8300613276180666, + 0.7453483546014741, + 0.658285377023056, + 0.5703757234695381, + 0.4830865253251084, + 0.3978073585804233, + 0.3158114280088054, + 0.23822031405746658, + 0.16597320694528575, + 0.09980143309822215, + 0.0402089392403947, + -0.012540757242553692, + -0.0584308126531482, + -0.0976903352216765, + -0.13078671866727615, + -0.15841123420223235, + -0.18145826061312442, + -0.20099869890275715, + -0.2182482709244242, + -0.23453153659293294, + -0.25124257816937556, + -0.26980338987642793, + -0.2916210744019017, + -0.3180449830487101, + -0.3503249424537019, + -0.3895716877202167, + -0.43672057001959086, + -0.49249952746796294, + -0.5574022033215481, + -0.6316669678451522, + -0.7152624527641909, + -0.8078800436801944, + -0.9089336002942879, + -1.0175664911312707, + -1.1326658432772103, + -1.2528837231085928, + -1.3766647857427639, + -1.5022797634712246, + -1.6278640109829277, + -1.751460191612218, + -1.8710640775601588, + -1.9846723508954403, + -2.0903312333781385, + -2.186184743325481, + -2.270521377696092, + -2.341818047411763, + -2.398780153024509, + -2.44037677480536, + -2.465870064118034, + -2.47483805883917, + -2.467190301311938, + -2.4431758090883178, + -2.403383132338806, + -2.3487324227964375, + -2.2804596327733346, + -2.200093154385084, + -2.1094233939261273, + -2.01046594980089, + -1.9054192202453175, + -1.7966174053637143, + -1.6864799833224613, + -1.5774588300118075, + -1.4719842128659761, + -1.3724109212648563, + -1.280965797197719, + -1.1996979005677773, + -1.1304324843231668, + -1.0747298669158283, + -1.033850175515403, + -1.0087247956897927, + -0.9999352052377035, + -1.0076996953510213, + -1.0318682955314067, + -1.071926024222462, + -1.1270043896724662, + -1.1959008699128348, + -1.2771059116794792, + -1.3688368102120758, + -1.4690776694594923, + -1.5756244992372743, + -1.6861343857868825, + -1.798177577875836, + -1.9092912643188737, + -2.0170337821702367, + -2.1190379886860335, + -2.2130625545858926, + -2.2970399905073737, + -2.369120301464633, + -2.4277092735155335, + -2.4715005299834547, + -2.499500648166729, + -2.5110467976986905, + -2.5058165443909948, + -2.4838296539994, + -2.4454419242053103, + -2.391331265447531, + -2.322476437352643, + -2.240129022848122, + -2.145779382323808, + -2.0411174715387848, + -1.9279895259330009, + -1.8083517077366638, + -1.6842218785465, + -1.5576306973115863, + -1.4305732511194855, + -1.3049624037134235, + -1.1825849949630958, + -1.0650619449386558, + -0.9538132108730102, + -0.8500284168499056, + -0.75464382780211, + -0.6683261751075903, + -0.5914636648864102, + -0.5241643164681979, + -0.46626159203758705, + -0.41732709385198863, + -0.3766899272853877, + -0.3434621607362239, + -0.31656966131747644, + -0.29478745200771866, + -0.276778624888974, + -0.26113575897446745, + -0.24642373205113002, + -0.2312227853605325, + -0.21417069853317464, + -0.1940029599559059, + -0.16958987393861016, + -0.13996962918812658, + -0.10437646105215818, + -0.06226316999819758, + -0.013317407524066816, + 0.04252869563039386, + 0.10509580964926438, + 0.17396166406490232, + 0.24847217176869313, + 0.32775912626397585, + 0.41076400758795, + 0.49626727191981124, + 0.5829223553813703, + 0.6692934976045831, + 0.7538963884767125, + 0.83524056469562, + 0.9118724333554289, + 0.9824177790289378, + 1.045622619290332, + 1.1003913111675934, + 1.1458208767343259, + 1.1812306083416837, + 1.206186130578837, + 1.220517234046638, + 1.2243289520036142, + 1.218005521008553, + 1.2022070465916574, + 1.1778588802341454, + 1.1461338998787096, + 1.1084280681589798, + 1.066329815942875, + 1.0215839592553553, + 0.9760510011166933, + 0.9316627926553848, + 0.8903756268894073, + 0.8541219112612833, + 0.824761609457304, + 0.8040346580347405, + 0.7935155484480761, + 0.7945712204743219, + 0.8083233397942494, + 0.8356159323100252, + 0.8769892230615837, + 0.9326603813491768, + 1.0025117094229063, + 1.0860866338598902, + 1.1825936708688223, + 1.290918343839942, + 1.4096428382304282, + 1.5370729900910685, + 1.6712720248512283, + 1.810100296819459, + 1.9512601313370204, + 2.0923447443228973, + 2.230890111235065, + 2.364428581811146, + 2.4905429902461544, + 2.606919993913921, + 2.7114013877981855, + 2.8020321861778457, + 2.877104336769937, + 2.9351950337187764, + 2.9751987220971703, + 2.9963520349068817, + 2.9982510703398844 + ], + [ + 2.988596386843346, + 2.959307412524669, + 2.9114661202915983, + 2.845990156496706, + 2.7641304992190805, + 2.6674436742231897, + 2.5577571584894843, + 2.4371287864036266, + 2.3078011147716326, + 2.172151820738579, + 2.032641298581213, + 1.8917586850111692, + 1.7519675765493392, + 1.6156527059273345, + 1.4850688173012676, + 1.3622929230378282, + 1.2491810393955585, + 1.1473303867127176, + 1.0580479045062638, + 0.9823257765361842, + 0.9208244892365497, + 0.8738637631948313, + 0.8414215060988068, + 0.8231407414679582, + 0.8183442753070062, + 0.826056677269941, + 0.8450329785378903, + 0.8737933296432484, + 0.910662721776538, + 0.9538147580683145, + 1.0013183697562535, + 1.0511863082019304, + 1.1014242088990203, + 1.1500790186767913, + 1.1952856022699019, + 1.2353103985765952, + 1.268591078818751, + 1.2937712663202239, + 1.3097295079740572, + 1.315601837352405, + 1.3107974350245752, + 1.2950070688046744, + 1.268204180888452, + 1.2306386755295589, + 1.1828236453675949, + 1.1255154521383206, + 1.0596877438346348, + 0.9865001413005909, + 0.9072624589787149, + 0.8233954338288736, + 0.7363890205987145, + 0.6477593685894613, + 0.5590056234504425, + 0.4715676966943161, + 0.38678611563052945, + 0.3058650080779045, + 0.22983919106045472, + 0.1595462229089928, + 0.09560414659754261, + 0.03839550209776264, + -0.011941979141480787, + -0.055517759600107325, + -0.09268390409903758, + -0.12402363684179539, + -0.15033335196999015, + -0.1725985539852671, + -0.19196436370920916, + -0.20970136857146165, + -0.22716771929114904, + -0.24576847530166462, + -0.2669132759959536, + -0.2919734621120301, + -0.32223979010104803, + -0.35888187160897567, + -0.40291043047942554, + -0.4551434019013564, + -0.5161768041401931, + -0.5863611950294273, + -0.6657843859957872, + -0.7542609293137762, + -0.8513287234539593, + -0.9562529010745324, + -1.0680369789240365, + -1.1854410633243795, + -1.3070067236538627, + -1.431087973917365, + -1.5558876434284488, + -1.6794982758672954, + -1.7999465751264594, + -1.9152403195071528, + -2.023416595483669, + -2.1225901602593384, + -2.2110007298385157, + -2.287058006748538, + -2.349383308533598, + -2.396846733642691, + -2.4285989035704523, + -2.4440964466382438, + -2.4431205365718784, + -2.4257879644567244, + -2.3925544017008065, + -2.3442096999359516, + -2.281865266722602, + -2.206933748757552, + -2.1211014422710046, + -2.026294028805366, + -1.9246363991839233, + -1.8184074751273325, + -1.7099910630204056, + -1.601823874656359, + -1.4963419228795596, + -1.3959265440655755, + -1.3028513131849215, + -1.2192311004019787, + -1.1469744711195504, + -1.0877405551936605, + -1.042901407527643, + -1.013510753897561, + -1.000279865760917, + -1.0035611395909616, + -1.0233397740389165, + -1.059233746380645, + -1.1105020929142526, + -1.176061301024246, + -1.2545094283041807, + -1.3441573811081295, + -1.4430666156280754, + -1.549092373178652, + -1.659931431482884, + -1.7731732485343874, + -1.8863532975991184, + -1.9970073429808974, + -2.10272538746456, + -2.2012040342814494, + -2.290296048676112, + -2.3680559756098605, + -2.4327807690208236, + -2.483044511905026, + -2.5177264522142004, + -2.536031743575575, + -2.5375044580760293, + -2.5220326264243536, + -2.4898452540827205, + -2.441501455694776, + -2.3778720395830955, + -2.300114054608208, + -2.20963897886936, + -2.108075379515895, + -1.997227001697292, + -1.8790273493068277, + -1.755491898168273, + -1.6286691318410393, + -1.5005916101493042, + -1.3732282704826058, + -1.248439122220917, + -1.1279334263923892, + -1.0132323576681548, + -0.9056370264888645, + -0.8062025985520511, + -0.7157190906412345, + -0.6346992498513565, + -0.563373741997742, + -0.5016936889471793, + -0.44934040844997847, + -0.40574202844397944, + -0.370096475284916, + -0.3414001762361788, + -0.3184816747851249, + -0.30003923646110453, + -0.28468142580209244, + -0.2709695643385099, + -0.25746093665874725, + -0.24275159781076996, + -0.22551765076816954, + -0.20455390700127518, + -0.17880891517432224, + -0.14741544077347102, + -0.10971560054582666, + -0.06527999690035756, + -0.013920355285663839, + 0.04430466200092278, + 0.10909061343627115, + 0.17989537280372625, + 0.2559539446532289, + 0.3362996087837737, + 0.4197908359212784, + 0.505143265063015, + 0.5909658993366258, + 0.6758005650831762, + 0.7581635910855922, + 0.8365886036804946, + 0.9096693004992504, + 0.9761010616602376, + 1.034720282525563, + 1.0845403660533763, + 1.1247833940118863, + 1.1549066028749395, + 1.174622919454247, + 1.1839149600281524, + 1.183042061195889, + 1.1725400868116151, + 1.1532139387266285, + 1.1261228850939564, + 1.0925590039937847, + 1.054019217489864, + 1.0121715574515235, + 0.9688164553676861, + 0.925843980107168, + 0.8851880567817896, + 0.8487787837398745, + 0.8184940210757411, + 0.796111451385755, + 0.783262311052107, + 0.7813879580498116, + 0.7917003808505373, + 0.8151476638640377, + 0.8523853101311084, + 0.9037541844171006, + 0.9692656827809795, + 1.0485945619306765, + 1.1410796774372243, + 1.245732688676122, + 1.361254594885209, + 1.4860597757297962, + 1.6183070259520933, + 1.755936901589149, + 1.8967145391271771, + 2.0382769726897383, + 2.178183861320084, + 2.313970451436129, + 2.4432015407944916, + 2.5635251812922446, + 2.6727248594273303, + 2.768768925249048, + 2.8498561024273705, + 2.9144560021915984, + 2.961343680176932, + 2.9896274148696187, + 2.9987690459813585, + 2.988596386843346 + ], + [ + 2.970577730569146, + 2.9296322050116927, + 2.870682464907581, + 2.794859504779255, + 2.7036115195592996, + 2.598671883261971, + 2.4820207830214427, + 2.355841410311021, + 2.2224717389646202, + 2.0843530225053826, + 1.9439762187656375, + 1.8038275960494266, + 1.666334791051779, + 1.5338145740596802, + 1.4084235320209628, + 1.2921128060231641, + 1.1865879184304826, + 1.0932745989052501, + 1.013291370915844, + 0.9474294947561916, + 0.8961406836589944, + 0.8595328206950855, + 0.8373737104595536, + 0.8291027058055649, + 0.8338498608459508, + 0.850462081722436, + 0.8775355806260806, + 0.9134537902765891, + 0.9564297691231224, + 1.0045520249716162, + 1.055832609020779, + 1.1082562851798938, + 1.159829562113415, + 1.2086283880403579, + 1.252843350496738, + 1.2908212939001653, + 1.3211023649874372, + 1.342451617522759, + 1.353884449997148, + 1.3546853097449703, + 1.3444192699531554, + 1.322936268070853, + 1.2903679805663704, + 1.2471174951481174, + 1.193842122807675, + 1.131429863829083, + 1.0609701999577064, + 0.9837200253047778, + 0.9010656477998457, + 0.8144818881483533, + 0.7254893719697872, + 0.6356111514139555, + 0.5463298041171302, + 0.45904613963507734, + 0.3750405969812251, + 0.29543834283310966, + 0.22117898026771085, + 0.15299165510832616, + 0.0913762042522905, + 0.036590831339779695, + -0.011353376133579585, + -0.052690953309733765, + -0.08789363561240052, + -0.11765523629420666, + -0.14287022795443002, + -0.16460659706857173, + -0.18407369101057675, + -0.20258590912764513, + -0.22152319978129154, + -0.24228941107738658, + -0.26626960206989786, + -0.29478745200771833, + -0.3290639068819365, + -0.3701781750347195, + -0.41903212755765323, + -0.47631907600282924, + -0.5424977916053281, + -0.6177724994565854, + -0.7020794311278622, + -0.7950803538621042, + -0.896163317765018, + -1.0044506788577416, + -1.118814270009418, + -1.2378974083206509, + -1.3601432510981457, + -1.483828847602091, + -1.6071040844370577, + -1.7280345925890426, + -1.8446475770027129, + -1.9549794479993394, + -2.0571240798836716, + -2.14928049721757, + -2.2297987941704562, + -2.297223127070829, + -2.3503306840189655, + -2.388165626694005, + -2.410067116128122, + -2.4156906734205075, + -2.4050222847531555, + -2.378384833794495, + -2.336436629393295, + -2.280161987847664, + -2.2108540222845043, + -2.1300899820494923, + -2.0396996677941144, + -1.9417276186405754, + -1.8383899221821152, + -1.7320266323056732, + -1.6250508905644518, + -1.519895931311901, + -1.4189612069084683, + -1.3245588955963936, + -1.238862050403374, + -1.1638556127306292, + -1.1012914498990354, + -1.052648483392533, + -1.0190988560672352, + -1.001480945040657, + -1.0002798657609167, + -1.0156159357858163, + -1.047241378371045, + -1.0945453506517782, + -1.1565671837498173, + -1.2320175273492802, + -1.319306903893614, + -1.4165810021196996, + -1.5217618804229271, + -1.632594111403299, + -1.7466947832485848, + -1.8616061841603992, + -1.974849934974914, + -2.083981303925462, + -2.186642436861508, + -2.2806132661508105, + -2.363858921171913, + -2.4345725512492855, + -2.4912125858963616, + -2.5325335944813663, + -2.5576100645180104, + -2.56585259082792, + -2.55701615255804, + -2.5312003469180007, + -2.488841642815542, + -2.430697909547375, + -2.3578256606496826, + -2.2715506264101055, + -2.1734324261688123, + -2.065224249564872, + -1.9488285709817434, + -1.8262500108519644, + -1.6995465190765908, + -1.5707800881717127, + -1.4419682061725694, + -1.3150372318465435, + -1.1917788181734401, + -1.0738104258471195, + -0.9625408589219399, + -0.859141622481755, + -0.7645247507150379, + -0.6793275868753086, + -0.6039048185043955, + -0.5383278864800844, + -0.4823916995593787, + -0.4356284018066301, + -0.3973277632295034, + -0.36656359851289383, + -0.342225469060015, + -0.32305479333746306, + -0.3076843829992523, + -0.29468034008209015, + -0.28258519572911056, + -0.26996114473152377, + -0.25543223327538894, + -0.2377243895065252, + -0.21570224701132812, + -0.18840179847666805, + -0.1550580283905335, + -0.11512680681662622, + -0.06830047762016198, + -0.014516740183027359, + 0.0460394005893947, + 0.11294065976655368, + 0.18552933476197114, + 0.2629356871095767, + 0.3441023554958915, + 0.42781415368673015, + 0.5127324652762544, + 0.5974333255814772, + 0.6804481826087351, + 0.760306256348879, + 0.8355773705871196, + 0.904914115120466, + 0.9670922092151188, + 1.021047979027505, + 1.065911931546444, + 1.1010375036762492, + 1.1260241849956283, + 1.1407343535165206, + 1.1453033219223858, + 1.1401422633375031, + 1.1259338663743306, + 1.1036207544951262, + 1.0743868899537676, + 1.0396323630929867, + 1.0009421390094044, + 0.960049491234563, + 0.9187949921167008, + 0.8790820484582405, + 0.842830065622117, + 0.8119263913175517, + 0.7881782298235982, + 0.7732657274224005, + 0.7686974099425364, + 0.7757691039475296, + 0.7955273953712622, + 0.8287385751339421, + 0.8758638929653714, + 0.9370417914145827, + 1.0120776254606219, + 1.100441193319121, + 1.2012722153615043, + 1.3133937051545195, + 1.4353329842276439, + 1.5653499050232618, + 1.7014716691958935, + 1.8415334653865938, + 1.9832240058457882, + 2.124134918410206, + 2.261812852420751, + 2.3938130866533363, + 2.51775338601009, + 2.6313668426528767, + 2.732552456785046, + 2.8194222619770404, + 2.8903438786256284, + 2.943977484958112, + 2.9793063254003767, + 2.9956600279728542, + 2.9927301719865, + 2.970577730569146 + ], + [ + 2.944347547502898, + 2.892086041388761, + 2.822509057954231, + 2.7369513832859087, + 2.6370461969756547, + 2.5246890844057774, + 2.401996225868788, + 2.271257743433638, + 2.1348872999226796, + 1.995369131349968, + 1.855203752598908, + 1.7168536045934897, + 1.5826899090843791, + 1.4549419645214945, + 1.3356500541583325, + 1.226623047096442, + 1.129401656684815, + 1.0452281814232816, + 0.975023394725668, + 0.9193710754963325, + 0.8785104857584577, + 0.8523369091111186, + 0.8404101693094536, + 0.8419708565244445, + 0.8559638045357039, + 0.881068189740091, + 0.9157334666159643, + 0.9582202179564393, + 1.0066448850649767, + 1.0590272559031553, + 1.1133395299577158, + 1.16755574872001, + 1.219700380784951, + 1.2678948805740602, + 1.3104010987235761, + 1.3456605086917932, + 1.3723283258891958, + 1.3893017297590826, + 1.395741552323979, + 1.3910869648895208, + 1.3750628736209691, + 1.3476799200758507, + 1.309227169838901, + 1.2602577564795696, + 1.2015679245395148, + 1.1341700797582075, + 1.0592606031677898, + 0.9781833143524926, + 0.8923895748934045, + 0.8033961032063883, + 0.7127416246742398, + 0.6219435049109745, + 0.5324555086370335, + 0.44562779218618076, + 0.36267017503519067, + 0.2846196465805103, + 0.21231295098133102, + 0.14636495815285464, + 0.08715337636787204, + 0.034810195297681194, + -0.010779928066642798, + -0.04997430984238851, + -0.08336005760078291, + -0.11173539657487663, + -0.13608500356182573, + -0.15755000543495398, + -0.17739343946846045, + -0.19696209259965028, + -0.21764573325258807, + -0.24083481995417305, + -0.2678778138709412, + -0.30003923646110436, + -0.33845959827546107, + -0.38411828089231587, + -0.4378003821024693, + -0.5000684365390091, + -0.5712398023990344, + -0.6513703627537912, + -0.7402450307358686, + -0.8373753756064956, + -0.9420045056576138, + -1.0531191586341264, + -1.1694687655278526, + -1.2895910738505971, + -1.4118437463747109, + -1.534441195140058, + -1.655495772230414, + -1.7730623219457744, + -1.8851850065376712, + -1.989945252027518, + -2.085509623524614, + -2.17017643192465, + -2.242419896190836, + -2.3009307371452694, + -2.344652158642567, + -2.3728102782714817, + -2.384938199785859, + -2.380893070160005, + -2.360865631833042, + -2.3253819612608058, + -2.2752972739130812, + -2.211781868700122, + -2.1362994767430448, + -2.050578465687695, + -1.9565765268012103, + -1.8564396335284767, + -1.7524562030178632, + -1.647007512798379, + -1.5425155202906964, + -1.441389300762599, + -1.34597135797081, + -1.2584850700587096, + -1.1809845110388104, + -1.115307835867065, + -1.0630353359375562, + -1.025453163726565, + -1.0035235928907351, + -0.9978625265711686, + -1.0087247956897918, + -1.0359976047916042, + -1.0792022899591582, + -1.1375043561939948, + -1.2097315652159957, + -1.2943996536523843, + -1.3897450807164566, + -1.4937640381083777, + -1.6042568070464542, + -1.7188764216430859, + -1.8351804973175851, + -1.9506850100131623, + -2.062918768405849, + -2.169477308086811, + -2.2680749541502925, + -2.356593846259413, + -2.4331287968844095, + -2.4960269570966536, + -2.543921392479781, + -2.5757578212118926, + -2.590813933487254, + -2.588710892061925, + -2.5694168033802622, + -2.533242142808119, + -2.480827311203325, + -2.413122688652176, + -2.3313617300841596, + -2.237027812285991, + -2.131815688565973, + -2.017588532420481, + -1.896331652016526, + -1.770104030733756, + -1.6409888936842985, + -1.5110445150430538, + -1.3822564659064105, + -1.2564924577298984, + -1.1354608633823076, + -1.0206738984028363, + -0.9134163217175687, + -0.8147203710089916, + -0.7253474867910084, + -0.6457772050935314, + -0.5762034158905384, + -0.516537997604493, + -0.46642165186926693, + -0.4252415818884983, + -0.3921554866997735, + -0.3661211867054577, + -0.34593105685699366, + -0.3302503263221786, + -0.31765821022298213, + -0.30669077238959813, + -0.2958843796485719, + -0.2838185988527553, + -0.2691574078403058, + -0.25068764021490425, + -0.22735365998489826, + -0.19828736371208167, + -0.1628327322897634, + -0.12056429861090777, + -0.07129905752393817, + -0.01510151653005844, + 0.04771823472237299, + 0.11661337550599193, + 0.19081588407207425, + 0.26935833043728136, + 0.3511013516323615, + 0.4347660799854168, + 0.5189706644915731, + 0.6022699167633493, + 0.6831970292339229, + 0.760306256348879, + 0.832215420905053, + 0.8976471082391262, + 0.9554674406618194, + 1.0047213826705392, + 1.044663612632188, + 1.0747841067047925, + 1.0948277130284436, + 1.1048071453682315, + 1.105008991659678, + 1.0959925101307189, + 1.0785811694111547, + 1.0538470746769208, + 1.0230886047432695, + 0.9878017605079146, + 0.949645888819182, + 0.910404593557693, + 0.8719427737164732, + 0.8361608332716763, + 0.8049471869487874, + 0.7801302375382295, + 0.7634310228168997, + 0.7564177227297715, + 0.7604631803601086, + 0.776706524189496, + 0.806019885761907, + 0.8489810883446616, + 0.9058530413778565, + 0.9765704158360173, + 1.060734000980423, + 1.1576129576258247, + 1.2661549915244572, + 1.3850042774876488, + 1.5125267751725793, + 1.6468423957378098, + 1.7858633093081955, + 1.9273375305809757, + 2.0688967877408726, + 2.208107571426465, + 2.3425241785176367, + 2.4697425120635716, + 2.5874533751123217, + 2.693494003174237, + 2.785896617441125, + 2.862932847832547, + 2.9231529698650536, + 2.9654190199666504, + 2.9889309972823366, + 2.9932455227702337, + 2.9782865045289246, + 2.9443475475028986 + ], + [ + 2.9101277568626367, + 2.846986579189957, + 2.767353468253092, + 2.672755720928226, + 2.5649977042183587, + 2.446121205610534, + 2.3183605309965607, + 2.1840934018678118, + 2.0457888016325225, + 1.9059529912571846, + 1.7670749553147995, + 1.6315725499672664, + 1.50174060419833, + 1.3797021752797372, + 1.2673640802664732, + 1.1663777192526354, + 1.0781060758100067, + 1.0035976286999642, + 0.9435677403307645, + 0.8983879056801266, + 0.8680830549869348, + 0.8523369091111185, + 0.8505051928326232, + 0.8616363232466102, + 0.8844990124059768, + 0.9176160597996548, + 0.9593034651073241, + 1.0077138684475848, + 1.0608832269986284, + 1.1167795657589215, + 1.1733525979937558, + 1.228582998527412, + 1.280530130695813, + 1.3273770749326697, + 1.3674718823552363, + 1.3993640783793106, + 1.4218355667147835, + 1.433925229879752, + 1.4349466849283044, + 1.424498828311595, + 1.402468987274598, + 1.3690286823270732, + 1.3246221914309182, + 1.2699482869670147, + 1.205935686784497, + 1.133712916458972, + 1.054573417427329, + 0.9699368515237823, + 0.8813076437621481, + 0.7902318697599626, + 0.6982536304226145, + 0.606872063554614, + 0.5175001198281053, + 0.4314261796389171, + 0.3497795091597699, + 0.2735004503859206, + 0.20331611382100256, + 0.1397221968974365, + 0.08297138997904108, + 0.03306865895813032, + -0.010226486570804948, + -0.04739081323110049, + -0.07912152618563105, + -0.10631420220658891, + -0.13003508486088777, + -0.15148848104277934, + -0.17198012703375487, + -0.19287749902011067, + -0.21556812482644502, + -0.2414170084311368, + -0.27172430519952234, + -0.3076843829992525, + -0.3503473724808337, + -0.4005842495782398, + -0.4590564061876905, + -0.5261905531730517, + -0.6021596661040859, + -0.6868705317943441, + -0.779958286576988, + -0.8807881595242774, + -0.9884644499388011, + -1.1018465830420403, + -1.219571905525828, + -1.3400847081121785, + -1.4616707998987768, + -1.5824968131687402, + -1.700653291232298, + -1.814200508971848, + -1.9212158987340726, + -2.0198419050673992, + -2.1083330718626887, + -2.1851011753174387, + -2.248757255665448, + -2.2981494689129165, + -2.332395775298649, + -2.350910601571151, + -2.353424756546885, + -2.339998040326416, + -2.311024163076357, + -2.267227775141372, + -2.2096536018734074, + -2.139647869243679, + -2.058832395289821, + -1.9690719030799606, + -1.8724352786787426, + -1.771151648416381, + -1.6675622798407583, + -1.5640694168280813, + -1.4630832387793364, + -1.3669681846275556, + -1.2779899032168898, + -1.1982640819153196, + -1.1297083652641473, + -1.0739985059716715, + -1.0325297932703204, + -1.006384680906153, + -0.996307391772505, + -1.0026861119467023, + -1.0255432076189697, + -1.0645337084657231, + -1.1189521050287432, + -1.187747310381231, + -1.2695454425884267, + -1.3626798989167932, + -1.465228019923148, + -1.5750534856639693, + -1.6898534510900407, + -1.8072093165101926, + -1.9246399445086086, + -2.039656078917333, + -2.1498146957094852, + -2.252772020582355, + -2.3463339833860077, + -2.428502944517935, + -2.4975196213200888, + -2.5518992610700524, + -2.59046124841638, + -2.6123514955792793, + -2.617057139365529, + -2.604413255705648, + -2.574601495425381, + -2.5281407395775553, + -2.4658700641180347, + -2.3889244873308297, + -2.2987041447141747, + -2.1968376908651055, + -2.085140862492755, + -1.9655712478051712, + -1.8401803924912181, + -1.7110644293503496, + -1.5803144459998493, + -1.449967802434386, + -1.3219615776933573, + -1.1980892634135165, + -1.0799617332292244, + -0.9689734031262714, + -0.8662743618688968, + -0.77274909595888, + -0.6890022641606737, + -0.6153517967075016, + -0.5518294084109295, + -0.49818842769089533, + -0.4539186597068313, + -0.4182678258921801, + -0.39026895865471284, + -0.36877298286669175, + -0.35248558867755464, + -0.34000739627420473, + -0.3298763350407718, + -0.3206111090325123, + -0.3107545989829858, + -0.2989160586900066, + -0.283811000317989, + -0.2642977279263745, + -0.23940956969590477, + -0.20838197452540108, + -0.17067377495807945, + -0.12598207228759792, + -0.07425036726882733, + -0.01566973685424688, + 0.04932696070341155, + 0.12007768781750745, + 0.19571029413468025, + 0.27516753616751116, + 0.35723738251878745, + 0.44058779837506895, + 0.5238050847207925, + 0.6054347531322611, + 0.6840238484724233, + 0.7581635910855922, + 0.8265311982499051, + 0.8879297620218053, + 0.9413251068025679, + 0.985878623847715, + 1.0209751797035962, + 1.046245318715692, + 1.0615811232427994, + 1.0671452554475696, + 1.0633728775074434, + 1.0509663284656572, + 1.030882621165735, + 1.0043140071261218, + 0.9726620361680817, + 0.9375057065900535, + 0.9005644564076357, + 0.863656882719832, + 0.8286561911355397, + 0.7974434674500251, + 0.7718599270575756, + 0.7536593322508048, + 0.744461772625161, + 0.7457099790513809, + 0.7586292876131225, + 0.7841922877762763, + 0.8230890808058611, + 0.8757039426745921, + 0.9420990336027498, + 1.0220056276318927, + 1.114823154386213, + 1.2196261558542356, + 1.3351790682799531, + 1.4599585478294177, + 1.5921828733180141, + 1.7298477845262221, + 1.870767954825997, + 2.0126231559539485, + 2.153008054310222, + 2.2894844850959384, + 2.41963498526967, + 2.541116330369388, + 2.651711814653777, + 2.749381038965454, + 2.8323060256579096, + 2.8989325635704657, + 2.948005796387478, + 2.9785992021286347, + 2.990136266743473, + 2.982404327068349, + 2.9555602435711563, + 2.9101277568626376 + ], + [ + 2.868207873561811, + 2.7947153802732227, + 2.705682337051223, + 2.6028156420586215, + 2.488075604138452, + 2.3636329666832188, + 2.2318212942289612, + 2.095085835385502, + 1.9559300577072118, + 1.8168611032334807, + 1.680335436417069, + 1.548705948483008, + 1.4241717441429436, + 1.3087317689977853, + 1.2041433405842639, + 1.111886525226625, + 1.033135159631772, + 0.9687351540493762, + 0.919190536801159, + 0.8846575124192115, + 0.8649466121272188, + 0.8595328206950852, + 0.867573372562006, + 0.8879327272248675, + 0.9192140636858577, + 0.9597964803823238, + 1.0078769541972745, + 1.0615160030707396, + 1.1186859140081906, + 1.1773203438643185, + 1.2353640754170916, + 1.2908217164535851, + 1.3418041646359795, + 1.3865717248359126, + 1.423572856737371, + 1.4514776464620196, + 1.4692052338045345, + 1.4759445828813837, + 1.4711681546477688, + 1.454638220527602, + 1.4264057427911236, + 1.3868019346354503, + 1.3364227964934268, + 1.2761071003375142, + 1.2069084562975947, + 1.1300622417397572, + 1.0469482984486642, + 0.9590504056257445, + 0.8679136125580779, + 0.7751005631809165, + 0.6821479642021717, + 0.5905243385586536, + 0.5015901670470595, + 0.41656145406173856, + 0.3364776602213615, + 0.2621748276806398, + 0.19426458610021685, + 0.13311957210817627, + 0.07886562658301746, + 0.031380956506613836, + -0.009697734011555952, + -0.04496232102624674, + -0.07521390126067425, + -0.10143751894681763, + -0.12477165690144551, + -0.1464733071312764, + -0.16787955277920946, + -0.19036668589900874, + -0.21530795201027614, + -0.24403105093031918, + -0.27777653299844457, + -0.3176582102229819, + -0.3646266535489978, + -0.4194367715464725, + -0.4826203642310959, + -0.5544644209778404, + -0.634995786682141, + -0.7239726590841509, + -0.8208832065363522, + -0.9249514138189964, + -1.0351500784565968, + -1.1502206960215815, + -1.2686997947670333, + -1.388951112110914, + -1.5092028522505316, + -1.627589129414202, + -1.7421945883979433, + -1.8511011059897824, + -1.9524354159397714, + -2.044416467905878, + -2.1254013281972273, + -2.19392845731331, + -2.2487572556654474, + -2.288902853161554, + -2.3136652285363777, + -2.3226518777676137, + -2.3157934044009973, + -2.2933515743773443, + -2.255919559862303, + -2.2044142861658313, + -2.1400609884438277, + -2.0643702757547397, + -1.979108184488181, + -1.8862598766280885, + -1.7879877964601767, + -1.6865852382515871, + -1.5844263936558143, + -1.483914038216602, + -1.3874260790754755, + -1.2972622192252126, + -1.2155919965158817, + -1.1444054279762241, + -1.0854674324753566, + -1.0402771186680477, + -1.010032912592207, + -0.995604362924545, + -0.997511305039373, + -1.015910891452283, + -1.0505928101731112, + -1.1009828184583577, + -1.1661545221573146, + -1.2448491350858688, + -1.3355027633984515, + -1.436280581370409, + -1.5451171016915808, + -1.659761599276262, + -1.7778276262121553, + -1.8968454597429532, + -2.0143162574175606, + -2.127766655370115, + -2.2348025380199816, + -2.3331607304530952, + -2.420757417768708, + -2.49573217741587, + -2.5564866189670488, + -2.6017167581953635, + -2.630438405465408, + -2.642005018539552, + -2.6361176527559183, + -2.612826832657264, + -2.5725263638525955, + -2.5159392974060513, + -2.4440964466382447, + -2.3583080333163258, + -2.260129202489685, + -2.1513202887609073, + -2.0338028380983366, + -1.9096124854848784, + -1.7808498574701368, + -1.6496307084451727, + -1.5180365093061527, + -1.388066686971906, + -1.261593663571438, + -1.140321766349059, + -1.0257509754689262, + -0.9191463496022054, + -0.8215138216882242, + -0.7335828933105623, + -0.6557965798538875, + -0.5883087744398181, + -0.5309890111982093, + -0.4834344224040343, + -0.44498850404343465, + -0.41476613494906495, + -0.39168413997524654, + -0.3744965516011209, + -0.3618336102165364, + -0.3522434539666231, + -0.34423538658789865, + -0.33632357766380916, + -0.3270700449479322, + -0.31512579290137605, + -0.2992690346852511, + -0.27843950514026256, + -0.2517679776928311, + -0.21860022594128248, + -0.17851481762639557, + -0.13133429102982155, + -0.07712943743890477, + -0.016216593754527425, + 0.05085196798275399, + 0.12330428705132561, + 0.200171156025914, + 0.28031415579109287, + 0.36245853455728444, + 0.4452300544837525, + 0.5271948245811728, + 0.6069010587404267, + 0.6829216450593384, + 0.7538963884767128, + 0.8185727937174783, + 0.8758442896146511, + 0.9247848581812925, + 0.9646791208251188, + 0.9950470476223832, + 1.0156625907692847, + 1.026565696832533, + 1.0280673203854604, + 1.0207472398319672, + 1.0054446602137834, + 0.9832417729400672, + 0.9554406240081775, + 0.923533815816633, + 0.8891697287147723, + 0.8541130929025647, + 0.820201865508249, + 0.7893014684499371, + 0.7632575174279458, + 0.7438482191393164, + 0.7327376312922302, + 0.7314309676886881, + 0.7412330887440564, + 0.7632112472640633, + 0.7981630617605795, + 0.8465905673891536, + 0.9086810506838728, + 0.9842952121443299, + 1.0729630243507475, + 1.173887466964562, + 1.2859561282860483, + 1.4077604707048896, + 1.5376223691355406, + 1.6736273520288487, + 1.8136638082389822, + 1.9554672740284262, + 2.096668786522677, + 2.2348461861778777, + 2.36757717390551, + 2.4924928803586917, + 2.607330686770904, + 2.7099850491586612, + 2.798555120414563, + 2.871388036841388, + 2.9271168353055965, + 2.9646920920344892, + 2.983406521138876, + 2.982911936658756, + 2.963228162288534, + 2.924743663564649, + 2.8682078735618113 + ], + [ + 2.818942558782108, + 2.7357146826343803, + 2.638017430025098, + 2.5277228713925783, + 2.406930692510258, + 2.2779222554515095, + 2.143110676668496, + 2.0049880882755318, + 1.866071313781901, + 1.7288472249660758, + 1.5957190514856718, + 1.4689548890868362, + 1.3506395965745985, + 1.2426311874272593, + 1.1465227111771275, + 1.0636104851774169, + 0.9948693824505507, + 0.9409357097825108, + 0.9020980263095226, + 0.8782960610536479, + 0.8691276929051597, + 0.8738637631948308, + 0.8914703039736523, + 0.9206375889823017, + 0.9598152533327791, + 1.0072525860431105, + 1.0610429801883607, + 1.1191714314212475, + 1.1795639092055485, + 1.2401373878415605, + 1.2988493170682087, + 1.3537453347815331, + 1.4030040765514997, + 1.4449780167597228, + 1.4782293822407278, + 1.5015603085722822, + 1.5140365583398505, + 1.5150042860236101, + 1.5040995114581432, + 1.4812501486411638, + 1.446670624387372, + 1.4008493072439652, + 1.3445291465677631, + 1.2786820902430582, + 1.2044780030085434, + 1.1232489419606364, + 1.0364497581887604, + 0.9456160809168499, + 0.8523208008460484, + 0.758130201169903, + 0.6645608872370339, + 0.5730386390739894, + 0.4848602556937596, + 0.4011593777593931, + 0.32287716788113974, + 0.2507385983576576, + 0.18523494783935482, + 0.1266129449785128, + 0.07487082279601061, + 0.029761366669565657, + -0.009198143874810317, + -0.0427093793707856, + -0.07167024310099813, + -0.09714660574266475, + -0.12033925066576416, + -0.14254691434112848, + -0.16512640941854864, + -0.1894508958515048, + -0.21686741598383566, + -0.24865483146930945, + -0.2859832926818646, + -0.3298763350407716, + -0.3811766323006682, + -0.4405163459302993, + -0.5082928944848256, + -0.5846508302376756, + -0.6694703556945952, + -0.7623628438374359, + -0.8626735472723679, + -0.9694914973752187, + -1.081666409668252, + -1.1978322306874072, + -1.3164367890778652, + -1.4357768539566738, + -1.5540377607585798, + -1.6693366424765004, + -1.779768205555677, + -1.8834519172510955, + -1.9785794269122141, + -2.063461028621224, + -2.1365699873561654, + -2.1965835951121875, + -2.242419896190836, + -2.273269120444581, + -2.288618987257031, + -2.288273188451466, + -2.272362521615731, + -2.2413483225224855, + -2.196018032069188, + -2.1374729248743445, + -2.0671082186249734, + -1.9865859707377216, + -1.8978013472371242, + -1.8028430135487303, + -1.703948544058003, + -1.6034558731308262, + -1.503751911679573, + -1.407219527737717, + -1.3161841349854635, + -1.2328611485651824, + -1.1593055523938507, + -1.0973647768250672, + -1.0486360109830817, + -1.014428972151885, + -0.995735027693707, + -0.9932034161500146, + -1.007125147040324, + -1.0374249774690125, + -1.083661672379534, + -1.1450365588055584, + -1.2204101875366271, + -1.308326723032036, + -1.4070454988659893, + -1.5145790059349853, + -1.6287364282397718, + -1.7471717099732371, + -1.8674350310824965, + -1.9870264890088012, + -2.1034507338582378, + -2.214271284024227, + -2.3171632597339546, + -2.409963312837219, + -2.490715601366527, + -2.5577127552213277, + -2.6095309023423243, + -2.645057969904233, + -2.663514638788362, + -2.6644675078700937, + -2.6478342130901598, + -2.613880440248575, + -2.5632089652140193, + -2.496741046015593, + -2.415690673420508, + -2.3215323556637304, + -2.2159632648772694, + -2.1008607037920575, + -1.9782359582998146, + -1.8501856819104605, + -1.7188420101269335, + -1.5863226250961584, + -1.4546819831287245, + -1.325864880103001, + -1.2016634634109167, + -1.0836787057017818, + -0.9732872376427127, + -0.8716142972504507, + -0.7795133955998547, + -0.6975531268613523, + -0.626011368985629, + -0.5648769344959724, + -0.5138585434431847, + -0.47240080730490047, + -0.4397067380369306, + -0.4147661349490648, + -0.39638905758702603, + -0.3832434689273071, + -0.37389603298169133, + -0.3668549768144764, + -0.3606138807907291, + -0.35369524368889493, + -0.3446926814877241, + -0.33231065980044716, + -0.3154007289765048, + -0.29299332602211164, + -0.2643243262517799, + -0.228855666928936, + -0.1862895215256254, + -0.13657567264511286, + -0.07991190979773755, + -0.016737460574068122, + 0.05228035430874338, + 0.12626587471787548, + 0.20416072883561273, + 0.28475464657713895, + 0.36672063443900854, + 0.4486535727241432, + 0.5291112053396209, + 0.6066564279788902, + 0.6798997441342955, + 0.7475407509872434, + 0.8084075390113363, + 0.8614929395829668, + 0.9059866327858773, + 0.941302230991206, + 0.9670985801185694, + 0.9832946665828391, + 0.9900776801497368, + 0.9879039571954967, + 0.9774927108163046, + 0.9598126392872985, + 0.9360616878678706, + 0.9076404162597238, + 0.8761195906638697, + 0.8432027711271752, + 0.8106847978587038, + 0.7804071910321735, + 0.7542115644218007, + 0.7338922118119441, + 0.7211490549184412, + 0.7175421417197931, + 0.7244488545137497, + 0.7430249283256133, + 0.7741702938609237, + 0.8185006470726511, + 0.876325512300746, + 0.9476334111164334, + 1.0320845782381465, + 1.129011483357856, + 1.2374272279041503, + 1.356041693339835, + 1.4832851272912926, + 1.6173386703344876, + 1.7561711541611427, + 1.897581345388297, + 2.0392446723481528, + 2.1787633582214685, + 2.313718795716062, + 2.4417249383705046, + 2.560481453023674, + 2.667825377850625, + 2.7617800606941216, + 2.840600212540978, + 2.9028119994921373, + 2.9472472113455317, + 2.9730706831942793, + 2.979800304903209, + 2.967319128129748, + 2.9358792674621395, + 2.8860974867209186, + 2.818942558782109 + ], + [ + 2.7627486193793755, + 2.6704836588735756, + 2.5649312229068784, + 2.4481127277497987, + 2.322249492004644, + 2.189714223316968, + 2.0529792102817392, + 1.9145624282481493, + 1.7769728154917455, + 1.6426559936918481, + 1.5139416934264798, + 1.3929941018290117, + 1.2817662767354003, + 1.1819596713991014, + 1.0949896886434813, + 1.0219580362489848, + 0.9636324900567581, + 0.9204344917772588, + 0.892434819229064, + 0.8793573723405782, + 0.8805909234854147, + 0.895208490351982, + 0.9219938082143342, + 0.9594742105893255, + 1.0059590769100804, + 1.0595828766539923, + 1.118351734442795, + 1.180192362485884, + 1.2430021572037226, + 1.304699237073561, + 1.3632712090753376, + 1.4168214912269383, + 1.4636120874942924, + 1.502101807045276, + 1.5309790399271863, + 1.5491883427259816, + 1.5559502470287563, + 1.5507738765431296, + 1.5334621411792029, + 1.5041094636984045, + 1.4630921819950746, + 1.4110519530238408, + 1.3488726582641328, + 1.2776514711038502, + 1.1986648896519612, + 1.1133306607207947, + 1.0231666190488606, + 0.9297475378632372, + 0.8346611308689716, + 0.7394643606687118, + 0.6456411941565693, + 0.5545629020306309, + 0.4674519283886259, + 0.38535025926691824, + 0.3090930984585961, + 0.23928851809199955, + 0.17630359386406141, + 0.12025736451824558, + 0.07102077646572821, + 0.028223591909879955, + -0.008731942919192041, + -0.040651049170589995, + -0.06852053265815726, + -0.09347776566149785, + -0.11677536631628424, + -0.13974252173205337, + -0.16374398979041518, + -0.19013787687580047, + -0.22023332297624193, + -0.25524923077246287, + -0.29627515134925947, + -0.3442353865878979, + -0.3998572884266551, + -0.4636446299918167, + -0.5358567957259798, + -0.6164943902707132, + -0.7052917026876814, + -0.8017162877194298, + -0.9049757435920618, + -1.014031580931441, + -1.1276198943628368, + -1.244278371911779, + -1.3623790118852157, + -1.4801657666845522, + -1.5957962018089167, + -1.7073861495041627, + -1.8130562529020886, + -1.910979240253606, + -1.9994267414882743, + -2.076814461612022, + -2.141744557429143, + -2.1930441250468298, + -2.2297987941704576, + -2.251380539215126, + -2.2574689539953865, + -2.2480653928908576, + -2.2234995531121493, + -2.184428255804273, + -2.1318263737278937, + -2.0669700454747515, + -1.9914125058610195, + -1.9069530446108707, + -1.8155997761715574, + -1.719527058250102, + -1.6210285315757393, + -1.5224668650994895, + -1.4262213765351759, + -1.3346347556547422, + -1.2499601455936489, + -1.1743098348470664, + -1.1096067796379785, + -1.0575401136567248, + -1.0195257112795564, + -0.9966727534391296, + -0.9897571051509292, + -0.9992021536787157, + -1.025067580321716, + -1.0670463510939534, + -1.1244700167001407, + -1.1963222149294421, + -1.281260073686604, + -1.3776430251017695, + -1.4835683650755274, + -1.5969127325082613, + -1.7153785422269465, + -1.836544288664869, + -1.9579175465080478, + -2.0769894319927658, + -2.1912892558261374, + -2.298438096577464, + -2.3962000518770497, + -2.482529983134192, + -2.555616656289786, + -2.6139202941995427, + -2.656203692805747, + -2.6815562099334795, + -2.689410108484163, + -2.6795489207467766, + -2.6521076929660214, + -2.6075651644825957, + -2.5467281289183044, + -2.470708411300253, + -2.3808930701600057, + -2.2789085932471687, + -2.1665799956944443, + -2.0458858468806143, + -1.9189103440445872, + -1.7877936147310929, + -1.6546814649090051, + -1.521675794335674, + -1.3907868754272783, + -1.2638886372604203, + -1.1426780138238781, + -1.02863930739604, + -0.9230143867127077, + -0.8267793887424024, + -0.7406284262139056, + -0.6649646247390655, + -0.5998986279178049, + -0.5452545208449189, + -0.5005829366546889, + -0.4651809317700005, + -0.43811804781776065, + -0.4182678258921797, + -0.404343905758056, + -0.394939731966646, + -0.388570803418117, + -0.38371834472268235, + -0.3788732481769532, + -0.37257913495242895, + -0.363473413122901, + -0.35032526763701277, + -0.33206960175837114, + -0.30783605866158176, + -0.2769723829821299, + -0.23906153181696577, + -0.19393210914268788, + -0.14166187267325403, + -0.08257424337008683, + -0.01722793054388073, + 0.05360003488670969, + 0.12893739444536442, + 0.2076452589725038, + 0.2884514399642546, + 0.3699876228703382, + 0.4508293885827676, + 0.5295380135477477, + 0.6047029305345908, + 0.6749837123465467, + 0.7391504501863042, + 0.796121436786124, + 0.8449971308420804, + 0.8850894721094615, + 0.9159457334121354, + 0.937366233874063, + 0.9494153934416257, + 0.9524257783265658, + 0.946994966104398, + 0.9339752433488256, + 0.9144563332319655, + 0.8897415308180874, + 0.8613177952681533, + 0.8308205065097661, + 0.799993735088739, + 0.7706469943036546, + 0.7446095402449685, + 0.7236833555175711, + 0.7095959943754837, + 0.7039544795957474, + 0.7082014242513137, + 0.7235745049372485, + 0.7510703380223744, + 0.791413708910469, + 0.8450329785378886, + 0.9120423444514703, + 0.9922314693768706, + 1.0850628122221113, + 1.1896768093278, + 1.3049048620753545, + 1.4292898954211608, + 1.561114065269144, + 1.6984330154460787, + 1.8391159217973534, + 1.9808904156367646, + 2.1213913550856858, + 2.2582123138255286, + 2.3889585849578197, + 2.511300454851304, + 2.623025489174691, + 2.7220885911478514, + 2.8066586400250593, + 2.8751605948396883, + 2.926312052666626, + 2.9591533795998743, + 2.9730706831942797, + 2.96781106364282, + 2.9434897633724324, + 2.9005890266149126, + 2.8399486771836586, + 2.762748619379375 + ], + [ + 2.7001014815090043, + 2.599574192969197, + 2.487042058080666, + 2.3646587489694975, + 2.2347484438965624, + 2.099755150146037, + 1.9621894480592728, + 1.8245738973052585, + 1.6893883764498052, + 1.5590166262293494, + 1.435695235693345, + 1.3214662493423754, + 1.2181344840767174, + 1.12723052939308, + 1.049980265672916, + 0.9872815770072116, + 0.9396887606948992, + 0.9074049496148499, + 0.8902826706643343, + 0.8878324671062661, + 0.8992393197501046, + 0.9233864161161915, + 0.9588856426261338, + 1.0041140166533744, + 1.0572551367899792, + 1.116344614276674, + 1.1793183589670817, + 1.2440625315755591, + 1.3084639417185215, + 1.3704596691012547, + 1.4280847130808634, + 1.4795165329639894, + 1.523115426266344, + 1.5574598025779471, + 1.5813755438232304, + 1.5939587942022488, + 1.5945916910987863, + 1.5829507275182262, + 1.5590076226767682, + 1.5230227655499833, + 1.4755314818060308, + 1.4173235529750303, + 1.3494165835081235, + 1.2730239624241684, + 1.1895182977973089, + 1.1003913111675938, + 1.007211262396776, + 0.9115790315197363, + 0.8150840114259444, + 0.719260963134372, + 0.6255489541254965, + 0.5352534405243311, + 0.4495124674580169, + 0.36926785088046626, + 0.29524207141840714, + 0.22792145974393216, + 0.1675460874704507, + 0.11410660181400113, + 0.0673480607262898, + 0.0267806424978747, + -0.008303075415743943, + -0.0388047448305586, + -0.06579141790775794, + -0.09046203875057261, + -0.11411015592727845, + -0.13808385573452572, + -0.16374398979041516, + -0.19242181680156784, + -0.22537719589124885, + -0.263758457237676, + -0.30856503521918405, + -0.36061388079072887, + -0.4205105751230392, + -0.4886259479821965, + -0.5650788648772539, + -0.6497256901496984, + -0.742156762856498, + -0.8417000427872542, + -0.9474318997726119, + -1.0581948352261599, + -1.1726217452656456, + -1.2891661643228205, + -1.406137771195047, + -1.5217423000066637, + -1.6341248800943458, + -1.7414157344501402, + -1.8417770984936153, + -1.9334501813884608, + -2.0148009819531207, + -2.084363790792675, + -2.1408812592118225, + -2.1833399926356174, + -2.2110007298385153, + -2.223422296775088, + -2.2204786721283853, + -2.2023686672304654, + -2.169617901714533, + -2.1230729437437645, + -2.0638876753150424, + -1.993502134229682, + -1.913614270134641, + -1.8261452279635206, + -1.733198933779331, + -1.6370169014149205, + -1.5399292998407192, + -1.4443034178134575, + -1.3524907316329031, + -1.2667738219844749, + -1.1893143958169838, + -1.1221036486796907, + -1.0669161523547248, + -1.0252683731424668, + -0.998382819672831, + -0.987158688174872, + -0.9921497208936256, + -1.0135498234766949, + -1.0511868037789476, + -1.1045244021024179, + -1.1726725860759928, + -1.2544058869721826, + -1.3481893630355282, + -1.4522115940135831, + -1.5644239439519416, + -1.6825851805070005, + -1.80431041216277, + -1.9271232028938832, + -2.0485096494645036, + -2.1659731614885067, + -2.2770886696780366, + -2.3795550037097084, + -2.471244227423188, + -2.550246794476508, + -2.6149114902457793, + -2.6638792531365563, + -2.696110117430323, + -2.710902686656818, + -2.707905727161351, + -2.6871216615922466, + -2.6489019368099815, + -2.5939344354500005, + -2.5232232902981777, + -2.438061641129622, + -2.3399980403264165, + -2.2307973623841564, + -2.11239719974468, + -1.9868608301924562, + -1.8563279168743931, + -1.7229641490678451, + -1.5889110490618663, + -1.4562371576049784, + -1.3268917677258274, + -1.2026623055031822, + -1.0851363584050426, + -0.9756692296471061, + -0.875357753746498, + -0.7850209476920658, + -0.7051878979670312, + -0.6360931004181221, + -0.5776792822559992, + -0.5296075479853867, + -0.49127450847343157, + -0.46183587921339, + -0.4402358744240696, + -0.42524158188849775, + -0.4154813828731998, + -0.40948638504120505, + -0.4057337663275138, + -0.40269088596797653, + -0.398859006236028, + -0.39281548518926346, + -0.38325334636545116, + -0.3690172046770726, + -0.34913462682436447, + -0.3228421268241315, + -0.28960513960063144, + -0.24913147437021368, + -0.20137792072803237, + -0.14654985956047584, + -0.08509391360921084, + -0.017683854066080456, + 0.05479984462180104, + 0.1312962439680213, + 0.210595265734862, + 0.2913732594075666, + 0.37223185965081523, + 0.4517390936728939, + 0.5284716382149798, + 0.6010570938798752, + 0.6682151415495459, + 0.7287964718153236, + 0.7818184330261886, + 0.8264964253983783, + 0.8622701755874406, + 0.888824155531372, + 0.9061015579921324, + 0.9143114053269646, + 0.9139285434901155, + 0.9056864556883151, + 0.8905630148961841, + 0.8697594769209751, + 0.844673191279469, + 0.8168646713682797, + 0.788019814104335, + 0.7599081885966606, + 0.7343384201727964, + 0.7131117774709157, + 0.6979751241987503, + 0.690574422112241, + 0.6924099670590992, + 0.7047945055832983, + 0.7288153163522489, + 0.7653012500277184, + 0.814795605318646, + 0.8775355806260794, + 0.9534388832792801, + 1.0420979057114494, + 1.1427816942637956, + 1.2544457461515013, + 1.3757494781591237, + 1.5050810215952282, + 1.6405888166051557, + 1.7802193096150591, + 1.921759904670363, + 2.0628861865522983, + 2.201212324133268, + 2.334343479219401, + 2.4599289912397717, + 2.5757150829951994, + 2.6795958379644067, + 2.7696612353237176, + 2.8442410940625455, + 2.901943870837696, + 2.941689375281103, + 2.9627346084975907, + 2.964692092034491, + 2.947540231763966, + 2.9116254495955616, + 2.857656011153438, + 2.7866876747641274, + 2.700101481509005 + ], + [ + 2.6315311683055342, + 2.523586211089698, + 2.4050089131261436, + 2.278066993475516, + 2.1451678466476896, + 2.0088061304046927, + 1.871509512472339, + 1.7357838391389162, + 1.6040590006427904, + 1.478636749474563, + 1.3616416787256214, + 1.2549764896256952, + 1.160282572358161, + 1.0789067947157893, + 1.0118752423507609, + 0.9598744859885594, + 0.9232407691500377, + 0.9019573191179145, + 0.8956597887660501, + 0.9036496422139699, + 0.9249151078283345, + 0.9581591424848357, + 1.0018336855961802, + 1.0541793342154009, + 1.1132694450941596, + 1.1770575689258889, + 1.2434270485300296, + 1.3102415681581896, + 1.3753954264311474, + 1.436862320912745, + 1.4927414775124501, + 1.5413000315697576, + 1.5810106676960751, + 1.6105836496657508, + 1.6289925167012187, + 1.6354928847227312, + 1.629633966447652, + 1.6112626082294559, + 1.5805198296179053, + 1.5378300391038675, + 1.4838832817149923, + 1.4196110465240144, + 1.3461563204460423, + 1.2648387150214142, + 1.1771156117505566, + 1.084540366053377, + 0.9887186777696659, + 0.8912642756713576, + 0.7937550738062034, + 0.6976909384521659, + 0.6044541565863216, + 0.5152736213370643, + 0.43119364885910505, + 0.353048217052361, + 0.2814412727169948, + 0.21673359377073403, + 0.15903652112543032, + 0.1082126951015094, + 0.06388374841477427, + 0.025444726438517497, + -0.007915169777610002, + -0.03718608692087035, + -0.06350598839552743, + -0.08812493942418749, + -0.11236616838465922, + -0.13758494941343974, + -0.16512640941854848, + -0.19628339246354018, + -0.2322555152363663, + -0.27411051895858324, + -0.32274896631286265, + -0.3788732481769538, + -0.44296175623865036, + -0.5152489466470648, + -0.5957118700104875, + -0.6840635780403201, + -0.7797536411103824, + -0.8819758283801798, + -0.9896828175210963, + -1.1016076191439417, + -1.2162912263544705, + -1.3321158368847765, + -1.4473428481025277, + -1.5601546976375018, + -1.6686995176526476, + -1.7711374916272227, + -1.8656877509802208, + -1.9506746263254382, + -2.0245720752754983, + -2.0860451454222027, + -2.133987396597769, + -2.1675532992299207, + -2.186184743325481, + -2.1896309325067573, + -2.177961096178919, + -2.1515696264473814, + -2.1111734305754366, + -2.0578014800445894, + -1.9927767289618195, + -1.9176907629128863, + -1.8343717197241949, + -1.7448461914904712, + -1.651295968473889, + -1.5560106163062921, + -1.4613369850512423, + -1.3696268294061424, + -1.2831837715921337, + -1.204210860933197, + -1.1347599761410938, + -1.0766842780216006, + -1.0315948525686405, + -1.000822588810173, + -0.9853862145931682, + -0.9859672696564115, + -1.0028926323099423, + -1.0361250377650675, + -1.0852618369624845, + -1.149542049223859, + -1.227861564958259, + -1.3187961607851304, + -1.4206318035096592, + -1.5314015459318124, + -1.6489281607103707, + -1.7708715222538993, + -1.8947796341854544, + -2.018142114058466, + -2.1384448897674595, + -2.253224834878894, + -2.3601230735480607, + -2.4569357196808035, + -2.541660878689364, + -2.6125408319980052, + -2.6680984421080134, + -2.7071669566330763, + -2.7289125498058597, + -2.732849115601733, + -2.7188450135165536, + -2.687121661592246, + -2.638244066769741, + -2.5731035752863813, + -2.4928933109244253, + -2.399076941952178, + -2.2933515743773447, + -2.177605705858376, + -2.053873287999707, + -1.9242850320778893, + -1.791018152441971, + -1.6562457715358965, + -1.5220872100650433, + -1.3905603553821333, + -1.2635372415483994, + -1.1427038873031838, + -1.0295253255971564, + -0.9252166232819756, + -0.8307205354238558, + -0.7466922694066368, + -0.6734916537652222, + -0.6111828200587905, + -0.5595413177188795, + -0.5180683963881056, + -0.4860120124139393, + -0.46239395029335195, + -0.44604230008444046, + -0.4356284018066294, + -0.4297072608362974, + -0.42676035688353803, + -0.42523971527733684, + -0.42361208426625097, + -0.42040206641111244, + -0.4142330857193417, + -0.4038651340296208, + -0.38822832867506957, + -0.3664514263404147, + -0.33788457238278075, + -0.30211571726990444, + -0.25898029831797714, + -0.20856396134637858, + -0.1511982787258723, + -0.08744960296472284, + -0.018101373821361733, + 0.05586963258073846, + 0.13332246635149295, + 0.2129857907305838, + 0.2934953849924462, + 0.3734343575217481, + 0.45137499147781324, + 0.5259211013591727, + 0.5957497634426019, + 0.6596512969150488, + 0.7165664152165507, + 0.765619537615525, + 0.806147347591579, + 0.8377218047942403, + 0.8601669581704403, + 0.8735690657781663, + 0.878279697863042, + 0.8749116796673081, + 0.8643279146376915, + 0.8476233125553467, + 0.8261002259842766, + 0.8012379677981687, + 0.774657138103564, + 0.7480796266728608, + 0.72328527351318, + 0.7020662624331027, + 0.6861803880359837, + 0.677304373735403, + 0.6769884261309222, + 0.686613189108508, + 0.7073502097893266, + 0.7401269491226863, + 0.7855972643865159, + 0.8441181616614126, + 0.9157334666159621, + 1.0001648953335451, + 1.0968108275039599, + 1.2047528965030347, + 1.3227703193151534, + 1.4493616986458195, + 1.5827738446387287, + 1.721036988940289, + 1.8620056037840398, + 2.003403897288217, + 2.1428749368094433, + 2.278032257973357, + 2.4065127502940915, + 2.5260295728102977, + 2.6344238459001414, + 2.729713888643685, + 2.810140824281617, + 2.874209458239169, + 2.920723441900486, + 2.9488138682279317, + 2.957960599221681, + 2.948005796387481, + 2.919159309676996, + 2.87199577331246, + 2.8074434538159303, + 2.7267650916436734, + 2.631531168305535 + ], + [ + 2.5576178156470863, + 2.4431626059467315, + 2.3195258255700475, + 2.1890700667025493, + 2.05426559264643, + 1.9176366339548454, + 1.7817065968091406, + 1.6489434578191675, + 1.52170661320201, + 1.4021964135571416, + 1.29240754912487, + 1.1940873561331304, + 1.1086999949311565, + 1.0373973080293368, + 0.980997004417041, + 0.9399686395848961, + 0.914427672873444, + 0.9041376897055375, + 0.908520680681897, + 0.9266750772049248, + 0.9574010589345354, + 0.9992324764579981, + 1.050474577246736, + 1.109246588034017, + 1.1735280954276046, + 1.2412080815323787, + 1.310135414608424, + 1.378169567637932, + 1.4432303406940912, + 1.5033453960261662, + 1.5566944768854885, + 1.6016492706886871, + 1.6368079918430942, + 1.6610238965235091, + 1.6734270974236778, + 1.6734392170872368, + 1.660780599569093, + 1.6354699873547305, + 1.5978167589975076, + 1.548406008125424, + 1.4880769217154972, + 1.4178950804402664, + 1.3391194523786794, + 1.2531649797924818, + 1.1615617638479392, + 1.0659119315464447, + 0.9678453208014649, + 0.8689751423451094, + 0.7708547704734654, + 0.6749367787914523, + 0.5825352730717307, + 0.4947924827801261, + 0.41265045808659695, + 0.33682858322425585, + 0.26780746335630545, + 0.20581957458110503, + 0.15084688961090148, + 0.10262550949858125, + 0.060657149180956105, + 0.02422714618617944, + -0.007571507862018121, + -0.035808770019892244, + -0.0616835798893077, + -0.08648624060019319, + -0.11155815861220045, + -0.13825002374202952, + -0.16787955277920924, + -0.20168993318423442, + -0.24081008731745976, + -0.2862178328086648, + -0.338706942154941, + -0.3988590062360277, + -0.4670208846219753, + -0.5432883833706723, + -0.627496642040662, + -0.7192175398729524, + -0.8177642508465269, + -0.9222028931270899, + -1.031371034954606, + -1.1439026408883333, + -1.2582588740586353, + -1.3727640159328243, + -1.4856456290115128, + -1.595077973311304, + -1.6992275974048772, + -1.7962999615204454, + -1.8845859154221754, + -1.9625068484662234, + -2.028657353584429, + -2.0818443004796174, + -2.121121294784207, + -2.1458176073995103, + -2.155560789106617, + -2.150292336642611, + -2.1302759440789423, + -2.096098053413458, + -2.04866060636712, + -1.9891660908253157, + -1.9190951654524429, + -1.8401773300307382, + -1.7543552824638138, + -1.6637437618285156, + -1.5705838164032306, + -1.4771935527519953, + -1.385916513753855, + -1.2990688976070082, + -1.2188868646565674, + -1.147475183461462, + -1.0867584416425928, + -1.0384359913010632, + -1.0039417144589848, + -0.9844095830571378, + -0.9806458532005725, + -0.9931085778235369, + -1.021894949508074, + -1.0667368000155524, + -1.1270043896724662, + -1.201718422792913, + -1.2895700296122976, + -1.3889482655148992, + -1.4979744992820074, + -1.6145428980293697, + -1.736366071438444, + -1.8610248153477569, + -1.9860207977388986, + -2.108830960983642, + -2.22696237458779, + -2.3380062635252115, + -2.4396899588059764, + -2.5299255686184585, + -2.6068542489419704, + -2.6688850599528786, + -2.7147275261963655, + -2.7434171711296123, + -2.7543334665111927, + -2.7472098200484787, + -2.7221354162371227, + -2.6795489207467766, + -2.6202242532485824, + -2.545248822494794, + -2.4559947961470217, + -2.354084141963739, + -2.241348322522487, + -2.119783649153534, + -1.9915033992352593, + -1.8586878721048339, + -1.7235336009074216, + -1.5882029497995767, + -1.454775307834579, + -1.3252010431330365, + -1.2012593048547024, + -1.0845206580098907, + -0.9763154099020511, + -0.8777083401805602, + -0.7894803828103603, + -0.7121176318483351, + -0.6458078581771399, + -0.5904445359049418, + -0.5456381896939522, + -0.5107346924971137, + -0.48483997157418174, + -0.4668504234760196, + -0.45548819981034894, + -0.44934040844997747, + -0.44690118228249787, + -0.4466155018752974, + -0.44692362111292894, + -0.44630493681295186, + -0.4433201646647805, + -0.4366507339506047, + -0.42513439106483075, + -0.4077961048288481, + -0.3838734923466749, + -0.35283612944131965, + -0.3143982708417658, + -0.2685246781530147, + -0.21542943384237492, + -0.15556780243987112, + -0.08962138123871359, + -0.018476957403665038, + 0.05680034787330479, + 0.13499891883753906, + 0.21479660903648065, + 0.2947998625761726, + 0.37358494280701215, + 0.4497401624668544, + 0.5219079816762576, + 0.5888258416398648, + 0.6493646324438471, + 0.7025637522029743, + 0.7476618005393902, + 0.7841220598279909, + 0.8116520500550354, + 0.8302165941865441, + 0.840043996837415, + 0.8416251155995361, + 0.8357052871814141, + 0.8232692549247658, + 0.8055194256385535, + 0.7838479574408306, + 0.7598033420195008, + 0.7350522903045523, + 0.7113378562741545, + 0.6904348362719609, + 0.674103558142366, + 0.6640432236813848, + 0.6618459880300701, + 0.668952950105263, + 0.6866131891085077, + 0.715846914455346, + 0.75741370171675, + 0.8117866676332416, + 0.8791332958435008, + 0.9593034651073216, + 1.0518250574085244, + 1.1559073386781573, + 1.2704521145265957, + 1.3940724720125695, + 1.5251187308402199, + 1.661711048112311, + 1.8017779543333763, + 1.9430999488956306, + 2.0833571545290472, + 2.2201799253857026, + 2.3512012252042487, + 2.474109542359346, + 2.586701088838457, + 2.6869300408659367, + 2.772955619825103, + 2.8431848823817463, + 2.896310186633155, + 2.9313404243590164, + 2.947625255072912, + 2.9448717420508834, + 2.923152969865058, + 2.882908412825282, + 2.824936019517114, + 2.750376175558906, + 2.6606878999907737, + 2.5576178156470872 + ], + [ + 2.478986763943325, + 2.3589837976319044, + 2.23131602101464, + 2.098420922922664, + 1.9628107560953758, + 1.8270179959911292, + 1.6935404743724713, + 1.5647874622676983, + 1.4430279525900938, + 1.3303423383085933, + 1.2285785989563156, + 1.1393139984866756, + 1.0638231637421196, + 1.0030532583743474, + 0.9576067957372374, + 0.9277324502642945, + 0.9133240346475895, + 0.9139276144559182, + 0.9287565374466467, + 0.9567139664799796, + 0.996422327222289, + 1.0462589190443699, + 1.1043967936241839, + 1.1688498842237005, + 1.2375212723411433, + 1.3082534097310554, + 1.3788790742393626, + 1.4472718284014172, + 1.51139477043704, + 1.5693464175421243, + 1.6194026398862205, + 1.6600536684494904, + 1.6900353280965408, + 1.7083537958383337, + 1.7143033493308188, + 1.7074767481530502, + 1.6877680758528888, + 1.6553680595126867, + 1.6107520709660748, + 1.5546611951310503, + 1.4880769217154974, + 1.4121901725733381, + 1.3283655143941044, + 1.238101521819833, + 1.1429883466809097, + 1.0446636126321884, + 0.9447677895374262, + 0.8449002076948801, + 0.746576848356431, + 0.6511909946393357, + 0.559977747254665, + 0.4739833045535292, + 0.39403977892531744, + 0.32074617483780443, + 0.25445599153289955, + 0.19527173971603942, + 0.14304648091532765, + 0.09739231512364778, + 0.05769556151440621, + 0.02313820302075664, + -0.007274997204282997, + -0.03468444685184957, + -0.06033961078971066, + -0.0855598064121604, + -0.11169296273820577, + -0.1400734518905255, + -0.17198012703375462, + -0.2085956971826658, + -0.2509685365837351, + -0.2999779654341269, + -0.3563039510487286, + -0.4204020664111123, + -0.4924844091600111, + -0.5725070318303476, + -0.6601642674136285, + -0.7548901572231419, + -0.8558670051065665, + -0.962040897857271, + -1.07214385088952, + -1.1847220654366613, + -1.298169623087985, + -1.4107667994787065, + -1.5207220550633065, + -1.6262166603129073, + -1.7254508379822167, + -1.816690258248364, + -1.8983117047967828, + -1.9688467418573625, + -2.0270222535768094, + -2.0717967970140383, + -2.102391806814456, + -2.118316810932786, + -2.1193879596921112, + -2.1057393315045783, + -2.077826653792997, + -2.036423262737735, + -1.9826083158697607, + -1.9177474625366064, + -1.8434663641554903, + -1.7616176343006495, + -1.6742419336205714, + -1.5835241022318616, + -1.4917453388965387, + -1.401232538774827, + -1.3143059772638863, + -1.2332265744469044, + -1.160143991753561, + -1.097046799073868, + -1.0457159070242807, + -1.0076823863312807, + -0.9841906960873529, + -0.9761682173390022, + -0.984201841097463, + -1.008522193977676, + -1.0489959042858787, + -1.10512612086753, + -1.176061301024246, + -1.2606120870791073, + -1.3572758985037368, + -1.4642686826112856, + -1.5795630961483702, + -1.700932236845619, + -1.825997911845296, + -1.9522823221341685, + -2.0772619612923426, + -2.1984224749872516, + -2.313313205949298, + -2.419600158177078, + -2.5151161535980764, + -2.597907023372379, + -2.666272772768334, + -2.7188027806765747, + -2.7544042393595474, + -2.772323203408114, + -2.772157795087898, + -2.753863301939144, + -2.7177490970271183, + -2.6644675078700932, + -2.594994952022953, + -2.510605840888274, + -2.4128399240977516, + -2.3034639006116806, + -2.1844282558042734, + -2.0578203930341328, + -1.9258152109329805, + -1.790624331929716, + -1.654445212113835, + -1.5194113569205037, + -1.3875448315223264, + -1.2607121902147411, + -1.1405848571702535, + -1.028604874071336, + -0.9259567912842689, + -0.8335463219156415, + -0.7519862062585035, + -0.6815895520961058, + -0.6223707286405198, + -0.5740537032246977, + -0.5360875249355455, + -0.5076684827658673, + -0.48776830195001775, + -0.47516759498169064, + -0.4684936570157955, + -0.4662615920375858, + -0.46691767885602803, + -0.4688838365052973, + -0.4706020281788416, + -0.4705774518069014, + -0.4674194035152482, + -0.45987876643491427, + -0.4468811699321146, + -0.42755498089762733, + -0.4012534262811572, + -0.36757030106137617, + -0.32634888435507875, + -0.2776838641030408, + -0.22191625321204347, + -0.15962146255461956, + -0.09159087420424424, + -0.018807427205930576, + 0.05758411622697142, + 0.1363114178795243, + 0.2160124003102801, + 0.29527565568810454, + 0.3726823414869535, + 0.44684843803321833, + 0.5164662319747093, + 0.5803439079832253, + 0.6374421779721363, + 0.6869069516399665, + 0.7280971523794173, + 0.7606069060086499, + 0.7842814732916185, + 0.7992264572116813, + 0.8058099884233844, + 0.8046577728887839, + 0.7966410698539589, + 0.7828578513899646, + 0.7646075720813472, + 0.7433601446018844, + 0.7207198696269349, + 0.6983852029050223, + 0.6781053549116298, + 0.6616348064370569, + 0.6506868844321542, + 0.6468875748347399, + 0.651730752020818, + 0.6665359777985347, + 0.6924099670590985, + 0.7302127336150795, + 0.7805293203851499, + 0.8436478855655878, + 0.9195447639852014, + 1.007876954197272, + 1.107982301156574, + 1.2188874560080318, + 1.3393235032207642, + 1.467748955767337, + 1.6023796359695122, + 1.7412247875550968, + 1.882128607681488, + 2.022816250094578, + 2.1609432356573346, + 2.2941471170968137, + 2.4201001832538336, + 2.536561955966396, + 2.641430230844477, + 2.73278944172385, + 2.808955186895758, + 2.868513841939971, + 2.910356297081598, + 2.9337049937374466, + 2.93813359202119, + 2.923578774639638, + 2.8903438786256337, + 2.8390942401999055, + 2.770844335021413, + 2.686936991379657, + 2.5890151427470824, + 2.478986763943326 + ], + [ + 2.39630326747262, + 2.271761976954905, + 2.141125794321851, + 2.006886494911444, + 1.8715770862955328, + 1.7377168911961185, + 1.6077570704537707, + 1.4840278502878959, + 1.3686886758783174, + 1.2636824417198607, + 1.1706948500213121, + 1.0911198240772468, + 1.0260317570899076, + 0.9761652119517616, + 0.9419025080609709, + 0.9232694417253463, + 0.9199391917512668, + 0.9312442661756771, + 0.9561961545552402, + 0.9935121674431144, + 1.041648775104555, + 1.098840605259963, + 1.1631441283778887, + 1.2324849519278873, + 1.304707564600844, + 1.3776263197070004, + 1.4490764249555064, + 1.5169637140534566, + 1.5793120137396117, + 1.6343069869527913, + 1.680335427079892, + 1.716019097218819, + 1.7402423491060663, + 1.752172915244997, + 1.7512754408347926, + 1.7373175050051963, + 1.710368069037707, + 1.6707884780088875, + 1.6192163269310567, + 1.5565426784081737, + 1.4838832817149927, + 1.4025445890252843, + 1.3139854896738794, + 1.2197757847742092, + 1.121552499763268, + 1.0209751797035966, + 0.9196813303347452, + 0.8192431565618425, + 0.7211267096620955, + 0.6266544860748327, + 0.5369724260109335, + 0.45302214172133104, + 0.37551906614239944, + 0.304937056345329, + 0.24149981674001306, + 0.18517932863144543, + 0.13570129002599857, + 0.09255738716916839, + 0.055024041786917305, + 0.022187109894180983, + -0.00702814641874167, + -0.03382262969950601, + -0.05948545168347183, + -0.0853534749125361, + -0.11276944025876963, + -0.14303980683168085, + -0.17739343946846015, + -0.21694225857051383, + -0.2626449179576488, + -0.3152744998864271, + -0.37539111433624656, + -0.4433201646647803, + -0.5191368969127899, + -0.6026576890385326, + -0.6934383632364628, + -0.7907796236060627, + -0.8937395373477685, + -1.0011527950238028, + -1.1116563088531193, + -1.2237205419862467, + -1.3356858104459115, + -1.4458026667771697, + -1.5522753638212465, + -1.6533073112598613, + -1.7471473789032301, + -1.8321358706739457, + -1.906748992714944, + -1.9696406681319325, + -2.019680608938596, + -2.0559876414513307, + -2.0779573926319297, + -2.085283579012107, + -2.0779722935872025, + -2.0563488556765908, + -2.021056970050478, + -1.9730501301524812, + -1.9135753913499691, + -1.8441498290910825, + -1.7665301789523562, + -1.6826763262971645, + -1.594709468377385, + -1.5048659073205068, + -1.415447545148338, + -1.3287702389257854, + -1.247111233124178, + -1.1726569157737565, + -1.1074521441693266, + -1.0533523547214376, + -1.0119796107009869, + -0.9846836525264632, + -0.9725089000066068, + -0.9761682173390017, + -0.996024093017129, + -1.032077711951424, + -1.0839662103026135, + -1.1509682092952274, + -1.2320175273492824, + -1.325724775032894, + -1.4304063493444998, + -1.5441201672627765, + -1.6647073176599967, + -1.7898386694825532, + -1.9170653560022144, + -2.0438719628112287, + -2.1677311833150275, + -2.286158671320203, + -2.396766816744468, + -2.4973161975640794, + -2.5857635181856753, + -2.6603049300733876, + -2.719413742569695, + -2.761871667663746, + -2.786792898650282, + -2.793640495355377, + -2.7822347336506175, + -2.7527532698061985, + -2.705723166131888, + -2.642005018539551, + -2.56276961439761, + -2.469467725767341, + -2.3637938045219546, + -2.247644488043763, + -2.123072943743766, + -1.9922401746856353, + -1.8573644748901526, + -1.7206702599015202, + -1.5843375050932582, + -1.4504530009029852, + -1.3209645813800244, + -1.1976394015044747, + -1.0820272317779631, + -0.9754296083218205, + -0.8788755264448509, + -0.7931041991452813, + -0.7185552234682226, + -0.6553663115187665, + -0.603378553876664, + -0.5621489958794693, + -0.5309701263892405, + -0.5088957087161687, + -0.494772228541383, + -0.48727509777586403, + -0.48494863964778556, + -0.4862487916993802, + -0.4895874019383079, + -0.49337696058603153, + -0.4960746064366959, + -0.4962242727878125, + -0.49249589249681075, + -0.48372066350664866, + -0.46892148304172526, + -0.44733778784887207, + -0.41844418603826616, + -0.381962429483756, + -0.3378664502118064, + -0.2863803653103397, + -0.22796953802819767, + -0.16332496327124482, + -0.09334141905962066, + -0.01908998730409189, + 0.05821430660680711, + 0.1372488591416409, + 0.21662287840765398, + 0.29491873890321624, + 0.37073418997717156, + 0.44272428347413406, + 0.5096418919194229, + 0.5703757234695375, + 0.6239848028597188, + 0.6697284771450733, + 0.7070911189121435, + 0.7358008349755966, + 0.755841641968735, + 0.7674587378278561, + 0.7711566757383226, + 0.7676904301780316, + 0.758049528640293, + 0.743435602793561, + 0.7252338846776463, + 0.7049793326849995, + 0.684318214482385, + 0.6649660960564202, + 0.6486632845846924, + 0.6371288452930332, + 0.6320143569582212, + 0.6348585860483114, + 0.6470442451814816, + 0.6697579578901447, + 0.7039544795957465, + 0.7503261259378283, + 0.8092782365340144, + 0.8809113578624812, + 0.9650106667796376, + 1.0610429801883576, + 1.168161510884142, + 1.2852183392021448, + 1.4107843794725285, + 1.5431764341879024, + 1.6804907518153442, + 1.8206423407510224, + 1.961409146098214, + 2.100480071400701, + 2.2355057273186314, + 2.3641507160303648, + 2.4841462157598793, + 2.5933416154360853, + 2.6897539655217684, + 2.7716140571910084, + 2.837408017228244, + 2.8859134084969447, + 2.916228953134166, + 2.9277971447088564, + 2.920419182837209, + 2.8942618451274225, + 2.849856102427377, + 2.788087479527418, + 2.7101783599529568, + 2.617662625482899, + 2.5123532038711733, + 2.3963032674726215 + ], + [ + 2.3102668660298233, + 2.182235079986984, + 2.049718195621046, + 1.9152412053496648, + 1.7813364613771145, + 1.6504888473255894, + 1.5250821514676236, + 1.4073478847412515, + 1.2993177269865697, + 1.2027806966800318, + 1.1192460250285452, + 1.0499125774284606, + 0.995645507375604, + 0.9569606538012946, + 0.9340170067682547, + 0.9266173730398255, + 0.9342171769619861, + 0.9559411381553906, + 0.9906073804303702, + 1.0367583506628057, + 1.0926977663670487, + 1.1565326702459091, + 1.2262195524723618, + 1.2996134096786034, + 1.3745185457720457, + 1.4487398852502178, + 1.520133565405133, + 1.586655599705496, + 1.6464074599905638, + 1.6976775084459605, + 1.7389773195144447, + 1.7690720641446394, + 1.787004280754994, + 1.7921105251649414, + 1.784030571311413, + 1.7627090213376093, + 1.7283893729545903, + 1.6816007791250362, + 1.6231379154568704, + 1.5540345397568893, + 1.4755314818060312, + 1.3890399357975978, + 1.2961010397341726, + 1.1983428126835072, + 1.0974355800597686, + 0.9950470476223837, + 0.8927981859900289, + 0.7922210592085304, + 0.6947196740801318, + 0.6015348430632957, + 0.5137139447682851, + 0.43208633520612644, + 0.3572450133487044, + 0.2895349800429836, + 0.22904855407912975, + 0.17562772769196675, + 0.12887346058157473, + 0.08816163131346783, + 0.0526651922642604, + 0.021381913484677845, + -0.006833043974741076, + -0.03323060992594709, + -0.05912832914314141, + -0.08586899175917322, + -0.11477848368695637, + -0.14712399186040245, + -0.18407369101057636, + -0.22665900166157513, + -0.27574044396915487, + -0.33197802056233816, + -0.39580694597904265, + -0.46741940351524797, + -0.5467528557735347, + -0.633485266791918, + -0.7270374156018033, + -0.8265822978959464, + -0.9310614288098559, + -1.0392076802783217, + -1.1495741155714403, + -1.2605681257784678, + -1.3704900322110982, + -1.4775751985369576, + -1.5800386000152056, + -1.6761207269864957, + -1.7641336576139295, + -1.842506121926851, + -1.9098263959029542, + -1.964881910314395, + -2.00669453330556, + -2.03455058640128, + -2.0480247784373113, + -2.046997387727231, + -2.031664186067941, + -2.0025387749335986, + -1.960447190064421, + -1.9065148210360356, + -1.8421458825869375, + -1.7689958597710016, + -1.6889375247838805, + -1.6040212852073417, + -1.5164307673790636, + -1.4284346610166405, + -1.3423359490188835, + -1.2604197170511575, + -1.184900779276121, + -1.117872368308022, + -1.0612571187777604, + -1.0167615251753548, + -0.9858349770054549, + -0.9696343695816448, + -0.9689951594976622, + -0.9844095830571369, + -1.0160125873587003, + -1.063575841403729, + -1.1265100029451336, + -1.203875220486764, + -1.2943996536523843, + -1.3965056038503563, + -1.5083426654285672, + -1.6278271397760113, + -1.7526868051746989, + -1.880510007289444, + -2.0087979321231435, + -2.135018847574024, + -2.256663053250851, + -2.371297262060437, + -2.476617151662783, + -2.570496868826094, + -2.6510343438960664, + -2.7165913741954184, + -2.765827561694971, + -2.797727338641587, + -2.8116194813549322, + -2.807188693035343, + -2.784479026739242, + -2.7438891150237814, + -2.6861593683686027, + -2.612351495579279, + -2.5238208813109964, + -2.4221825242011286, + -2.3092713897848647, + -2.1870981617488825, + -2.05780148004459, + -1.9235978324306573, + -1.7867303153080092, + -1.6494174991241832, + -1.513803622771184, + -1.3819113006429409, + -1.2555978564517838, + -1.1365163013354889, + -1.0260818526862785, + -0.9254447475716673, + -0.8354699441888541, + -0.7567241305283865, + -0.6894702756816159, + -0.6336697705977529, + -0.5889920162781315, + -0.554831133080339, + -0.5303292895623883, + -0.5144059874611522, + -0.5057924949600017, + -0.5030704969061934, + -0.504713931107288, + -0.5091329066819108, + -0.5147185554138947, + -0.5198876512045121, + -0.523125846347957, + -0.5230284160448676, + -0.5183374731654433, + -0.5079747119279995, + -0.49106885937140027, + -0.4669771541839526, + -0.43530033001154916, + -0.39589075078949343, + -0.3488535245930427, + -0.29454060543948535, + -0.23353807476215013, + -0.16664697129783096, + -0.09485820540323582, + -0.019322247111858638, + 0.058685587317034056, + 0.13780331144661428, + 0.21662287840765396, + 0.2937321318990146, + 0.3677569705209877, + 0.43740259100337264, + 0.501492698515315, + 0.5590056234504419, + 0.6091063625895777, + 0.6511736663858699, + 0.6848214206860408, + 0.7099137173146454, + 0.7265731699285471, + 0.7351822053161127, + 0.7363772414883478, + 0.7310358479145257, + 0.7202571654419553, + 0.7053360391974517, + 0.687731482639683, + 0.6690302407265084, + 0.6509063510603109, + 0.6350777105250036, + 0.6232607385309966, + 0.6171242843602421, + 0.6182439537524117, + 0.6280580280104118, + 0.6478261174805904, + 0.6785916309705553, + 0.7211490549184397, + 0.7760169230231284, + 0.8434172213236913, + 0.9232618186863769, + 1.0151463421156128, + 1.1183517344427931, + 1.231853543245531, + 1.3543387989736067, + 1.4842301519323837, + 1.6197167566755037, + 1.758791222991977, + 1.8992917992631975, + 2.038948820353696, + 2.17543434174247, + 2.306413797093572, + 2.429598460062389, + 2.542797464306224, + 2.643968139156212, + 2.731263452208221, + 2.8030754134522198, + 2.8580733870028947, + 2.8952363738462012, + 2.9138784694632474, + 2.9136668603493603, + 2.8946318994385267, + 2.857168988003971, + 2.8020321861778537, + 2.73031967108393, + 2.6434513559124926, + 2.543139170351126, + 2.4313506780558596, + 2.3102668660298242 + ], + [ + 2.2216054665030556, + 2.091160544787874, + 1.9578665745596426, + 1.8242604148569863, + 1.6928523578612795, + 1.5660718531018272, + 1.4462151846394808, + 1.3353963128343689, + 1.235502015533187, + 1.1481523595104972, + 1.074667404318313, + 1.016040890493457, + 0.9729214960217268, + 0.9456020631750606, + 0.9340170067682545, + 0.9377479191938549, + 0.9560371920640031, + 0.9878092836826488, + 1.0316990805298756, + 1.0860866338598933, + 1.1491374034437576, + 1.2188470130264693, + 1.2930894192778093, + 1.3696673203473049, + 1.446363583364211, + 1.5209924534169565, + 1.5914493200263162, + 1.6557578604689815, + 1.7121134513535778, + 1.7589218387343115, + 1.7948321802441225, + 1.818763717120017, + 1.8299254959415583, + 1.8278287353462694, + 1.8122916175349824, + 1.783436473432325, + 1.7416795192176686, + 1.6877134859010678, + 1.6224836581300481, + 1.547157999165133, + 1.4630921819950753, + 1.37179046836751, + 1.2748634751142798, + 1.1739839381901445, + 1.0708416276241342, + 0.9670985801185699, + 0.8643458000691953, + 0.764062534806191, + 0.6675791570808833, + 0.5760445891513708, + 0.49039908080261524, + 0.4113530114045945, + 0.33937222729997024, + 0.274670254465805, + 0.21720754686662133, + 0.16669774776370017, + 0.12262075910878405, + 0.08424223764018753, + 0.05063896988078877, + 0.020729426118227156, + -0.006691340527242322, + -0.03291339628634913, + -0.059271264587010396, + -0.08710199544627512, + -0.11770309560626104, + -0.1522914529232325, + -0.1919643637092087, + -0.23766371841242298, + -0.2901443205424028, + -0.3499472081185126, + -0.41737871880314964, + -0.49249589249681053, + -0.5750986422339199, + -0.6647289498330722, + -0.760677161322895, + -0.8619952732674058, + -0.9675169194027109, + -1.0758835920715417, + -1.1855764692416433, + -1.2949530695807208, + -1.402287828918322, + -1.5058155847621477, + -1.6037768741039748, + -1.6944638956725742, + -1.776265962510043, + -1.847713274988888, + -1.9075178781373023, + -1.9546107296492488, + -1.9881738947538228, + -2.007666999049987, + -2.0128472076913497, + -2.0037821555811273, + -1.9808554246785983, + -1.9447643469080271, + -1.896510099999747, + -1.8373802542110955, + -1.7689241155470221, + -1.6929213911643708, + -1.6113448706154045, + -1.5263179682706132, + -1.4400681038575684, + -1.354877006249527, + -1.2730291076948048, + -1.196759249494967, + -1.1282009443098213, + -1.0693364341115519, + -1.0219497463971625, + -0.9875838854111179, + -0.96750320136933, + -0.9626618612404167, + -0.9736792023952111, + -1.0008225888101716, + -1.04399821241515, + -1.102750093906359, + -1.1762673424763967, + -1.2633995371867641, + -1.3626798989167932, + -1.472355735691008, + -1.590425470255283, + -1.7146814012856917, + -1.8427572124169302, + -1.972179129719197, + -2.100419541104636, + -2.2249518325330255, + -2.343305167238025, + -2.4531179362046402, + -2.552188640738145, + -2.6385230303696123, + -2.7103764100083536, + -2.7662901469512935, + -2.805121548231869, + -2.8260664384087493, + -2.8286739433496613, + -2.8128531725650094, + -2.7788716866186887, + -2.727345832352429, + -2.6592232223190586, + -2.5757578212118917, + -2.4784782766695272, + -2.3691502903916826, + -2.249733964186831, + -2.1223371710450185, + -1.9891660908253161, + -1.8524741115456902, + -1.7145103291389372, + -1.577468880196124, + -1.4434403137090028, + -1.3143661499400443, + -1.1919976888092778, + -1.0778600187937313, + -0.9732220431178878, + -0.87907318636123, + -0.796107275383414, + -0.724713907907625, + -0.6649774347180467, + -0.6166834918870537, + -0.5793328324629885, + -0.5521620272579583, + -0.534170436224526, + -0.5241526995492057, + -0.5207358647652448, + -0.5224201561485367, + -0.527622308084659, + -0.5347203270172454, + -0.5420985183524083, + -0.5481916159218823, + -0.5515268821821502, + -0.550763106397099, + -0.5447255140552407, + -0.5324357114742401, + -0.5131359220955882, + -0.48630692197675945, + -0.4516792475955, + -0.40923742507770466, + -0.3592171518778147, + -0.3020955451664347, + -0.23857475107334003, + -0.16955938094324738, + -0.09612840053626907, + -0.019502241606158342, + 0.05899397110958678, + 0.13797008387705192, + 0.2160124003102801, + 0.29172587390770094, + 0.3637758717422085, + 0.4309283845473299, + 0.49208759762613646, + 0.5463298041171293, + 0.5929327354989692, + 0.6313995014575269, + 0.6614764694252553, + 0.6831645697552624, + 0.6967236816886497, + 0.7026699337467978, + 0.7017659354250885, + 0.6950041404506029, + 0.6835837207528433, + 0.6688815001499087, + 0.6524176532587288, + 0.6358170143115297, + 0.6207669588443041, + 0.6089729155770172, + 0.6021126337849402, + 0.6017903712763424, + 0.609492178657025, + 0.6265434365193296, + 0.6540697539246926, + 0.6929622601682236, + 0.7438482191393146, + 0.8070677691024195, + 0.882657443494793, + 0.9703409639749023, + 1.0695276194931331, + 1.1793183589670786, + 1.2985195348259901, + 1.4256640449553863, + 1.559039436130728, + 1.6967223574670052, + 1.8366185920818898, + 1.9765077530833235, + 2.1140916097166293, + 2.247044914075599, + 2.3730675306255913, + 2.4899366316629323, + 2.5955577127901726, + 2.6880132038273405, + 2.7656075018632107, + 2.8269073331970893, + 2.8707764578402304, + 2.8964038614821965, + 2.9033247322243043, + 2.8914336892586645, + 2.8609899139115753, + 2.8126140256252574, + 2.747276741849102, + 2.6662795566691058, + 2.5712278635485157, + 2.4639971281370014, + 2.3466928833235996, + 2.221605466503057 + ], + [ + 2.131069184452055, + 1.9993089031370561, + 1.8663480374151538, + 1.7347138620902536, + 1.6068733913032844, + 1.4851801144950896, + 1.3718234201964177, + 1.2687818774240387, + 1.1777814513140041, + 1.1002596106633158, + 1.0373361431938797, + 0.9897913330708198, + 0.9580519784470626, + 0.9421855388895787, + 0.9419025080609709, + 0.9565669107303417, + 0.9852146298558848, + 1.02657908382579, + 1.0791236004767089, + 1.1410796774372274, + 1.2104901814657851, + 1.2852564260641588, + 1.3631879794620976, + 1.4420539961499776, + 1.5196348358490595, + 1.593772734785866, + 1.6624203252642138, + 1.723685859948724, + 1.7758740854094217, + 1.817521823070229, + 1.8474274518725398, + 1.8646736422750516, + 1.8686428617632094, + 1.8590253535681722, + 1.8358194782661803, + 1.7993244976653429, + 1.7501260671756969, + 1.6890748820716264, + 1.6172590902636301, + 1.5359712352779804, + 1.4466706243873728, + 1.3509421250349525, + 1.250452475220993, + 1.1469052483948514, + 1.0419956393278704, + 0.9373662338740633, + 0.834564892631986, + 0.7350058172131461, + 0.6399347797193877, + 0.550399383421624, + 0.46722508841316984, + 0.3909975836180323, + 0.32205191985369724, + 0.26046864191854124, + 0.20607697538162248, + 0.15846494051770077, + 0.11699608629146599, + 0.08083236599334931, + 0.048962517394742666, + 0.02023516813320299, + -0.006604234951532787, + -0.03287367255164393, + -0.0599130487165446, + -0.08904205420470844, + -0.12151853247644434, + -0.15849847096127667, + -0.20099869890275662, + -0.249863303939654, + -0.30573468436375445, + -0.36903003509707505, + -0.43992392584913703, + -0.518337473165443, + -0.603934438113876, + -0.6961244024655392, + -0.7940729929287786, + -0.8967189399242441, + -1.0027975791796204, + -1.1108702355936535, + -1.2193587736604274, + -1.3265844612090743, + -1.4308101768187726, + -1.5302848990063551, + -1.6232893495470726, + -1.7081816258106346, + -1.7834416488022196, + -1.8477132749888883, + -1.8998429705229023, + -1.938914024972683, + -1.9642753862662168, + -1.975564326711407, + -1.972722298560588, + -1.956003502992867, + -1.9259758745317541, + -1.8835143694041991, + -1.829786636570266, + -1.7662313393967473, + -1.694529579512608, + -1.6165700476996914, + -1.5344086854122705, + -1.4502237807094156, + -1.3662675405007914, + -1.2848152740637142, + -1.2081133884154076, + -1.1383274326194295, + -1.0774914344860616, + -1.0274597491504092, + -0.989862585184661, + -0.9660662914641653, + -0.9571393789097177, + -0.9638251180784422, + -0.986521399576786, + -1.025268373142465, + -1.0797441971348614, + -1.1492690375565897, + -1.232817259288516, + -1.329037556740885, + -1.436280581370409, + -1.5526334441169016, + -1.6759603061529196, + -1.8039481254374434, + -1.9341565029840975, + -2.0640704745153053, + -2.191155022675457, + -2.3129100439403403, + -2.426924493786216, + -2.5309284538252754, + -2.622841914976488, + -2.7008191500857883, + -2.763287655790636, + -2.8089807742345454, + -2.8369632572735553, + -2.8466492053576133, + -2.8378119961687616, + -2.810586009884349, + -2.7654601539237276, + -2.703263385449461, + -2.62514261996758, + -2.5325335944813654, + -2.4271254194262313, + -2.310819701034392, + -2.1856852412894043, + -2.0539094232182085, + -1.9177474625366073, + -1.7794707508932712, + -1.6413155301458426, + -1.5054331209905953, + -1.3738428833411418, + -1.2483890113337712, + -1.1307021646501663, + -1.0221668125717758, + -0.923895020981076, + -0.8367072490817199, + -0.7611205460184357, + -0.697344352251159, + -0.6452839210952038, + -0.6045511869909403, + -0.5744827234971418, + -0.5541642602553685, + -0.5424610685367534, + -0.5380533833856267, + -0.5394759102866082, + -0.5451603686298828, + -0.5534799553445111, + -0.562794571550907, + -0.5714956438778142, + -0.578049390388943, + -0.5810374283245028, + -0.5791936958140363, + -0.5714367603995506, + -0.5568967110204807, + -0.534935973878183, + -0.5051635526449457, + -0.46744236573581377, + -0.4218895334444718, + -0.3688696510896983, + -0.30898126628244854, + -0.24303695440105275, + -0.1720375519040134, + -0.09714125803312508, + -0.019628447952120796, + 0.059136848918035036, + 0.1377477654627269, + 0.21479660903648062, + 0.2889169387797239, + 0.35882457553797004, + 0.4233564388222359, + 0.48150616066126645, + 0.5324555086370328, + 0.5756007577917297, + 0.6105732807432497, + 0.6372537739811641, + 0.6557797021899276, + 0.6665457174265995, + 0.6701969916493588, + 0.6676155848596346, + 0.6599001523359418, + 0.64833946850995, + 0.6343804075471414, + 0.6195911675110368, + 0.6056206523646903, + 0.5941550307307423, + 0.5868725695902749, + 0.585397892882301, + 0.5912568378846983, + 0.6058330756495919, + 0.6303276257044397, + 0.6657223305241932, + 0.7127482634573533, + 0.7718599270575734, + 0.8432159599672029, + 0.9266669130113491, + 1.0217504828553605, + 1.1276944086977756, + 1.2434270485300263, + 1.3675954611700434, + 1.4985906332914365, + 1.6345793116716563, + 1.7735417343342783, + 1.9133144043252945, + 2.0516369203014646, + 2.1862017721865046, + 2.314705930553997, + 2.4349030071678506, + 2.5446547425969213, + 2.641980585635267, + 2.725104168271734, + 2.792495548285797, + 2.8429081876005085, + 2.8754097560127625, + 2.8894059939312347, + 2.8846570308099984, + 2.8612857341248223, + 2.8197778526770843, + 2.760973913134357, + 2.6860530252772654, + 2.5965089446293756, + 2.494118926287929, + 2.380906076329839, + 2.2590960629259182, + 2.131069184452056 + ], + [ + 2.0394239977911073, + 1.907457261486238, + 1.7759368724244318, + 1.64735915140615, + 1.524126982666137, + 1.4084980122179198, + 1.3025362461282801, + 1.2080681667772077, + 1.1266443764211678, + 1.059507644465451, + 1.007568081016946, + 0.9713859882944043, + 0.9511627574988262, + 0.9467399862862993, + 0.957606795737237, + 0.9829151304651973, + 1.0215026360109707, + 1.071922528532069, + 1.132479707372279, + 1.2012722153615079, + 1.2762370281686166, + 1.3551990556740765, + 1.4359221674861067, + 1.516161013053987, + 1.59371239527495, + 1.666464975243112, + 1.732446134299767, + 1.7898648965313544, + 1.8371499183419675, + 1.8729816790694362, + 1.8963181546020882, + 1.9064134208684531, + 1.9028288117852892, + 1.8854364423238623, + 1.854415097156742, + 1.810238674162239, + 1.7536575552108433, + 1.6856734496090695, + 1.60750841406591, + 1.5205688931799854, + 1.4264057427911248, + 1.3266712922185016, + 1.2230745681595128, + 1.1173358412665428, + 1.0111416652849223, + 0.9061015579921328, + 0.8037074236313341, + 0.7052967394085472, + 0.6120204259373466, + 0.5248161959191169, + 0.44438803006191463, + 0.37119226797645005, + 0.3054306286484093, + 0.24705029446964527, + 0.19575100929553732, + 0.1509989592286575, + 0.11204702940684855, + 0.07796086543006996, + 0.04765001835275743, + 0.01990332117581294, + -0.0065724642001987, + -0.033111774802602294, + -0.061048251747597544, + -0.09167275425949023, + -0.1261925139750796, + -0.16569253179322538, + -0.2111002620273994, + -0.2631545442293325, + -0.32237963390056096, + -0.38906505214670917, + -0.46325182446357327, + -0.5447255140552405, + -0.633016279531912, + -0.727406004953444, + -0.8269423665722826, + -0.9304595199339061, + -1.0366049177941907, + -1.143871608008823, + -1.2506352152457425, + -1.3551946847769845, + -1.4558157639427025, + -1.550776119798582, + -1.6384109419727537, + -1.717157859196365, + -1.7856000069373914, + -1.8425061219268515, + -1.886866606251107, + -1.9179245975091013, + -1.9352012000387455, + -1.9385141725201482, + -1.9279895259330002, + -1.9040656589834342, + -1.8674898414549301, + -1.8193070449477282, + -1.7608413104693028, + -1.6936700286075719, + -1.619591685922458, + -1.540587796292052, + -1.4587798841153177, + -1.3763825137835295, + -1.2956534634698662, + -1.2188422184167895, + -1.1481380075404928, + -1.08561862603601, + -1.0332012752042659, + -0.9925966091287808, + -0.9652671070437205, + -0.9523907919161104, + -0.9548311922543088, + -0.9731142984164919, + -1.0074131002430706, + -1.0575401136567226, + -1.1229481143118625, + -1.2027391010410782, + -1.2956813154961315, + -1.4002339518021563, + -1.5145790059349853, + -1.6366595433886764, + -1.7642235097048289, + -1.8948720753512898, + -2.0261113975193514, + -2.1554065993194866, + -2.2802367136032444, + -2.3981493155259184, + -2.506813575554649, + -2.6040705027336095, + -2.6879792157067848, + -2.756858174612507, + -2.809320428160984, + -2.8443020740206295, + -2.8610832935529995, + -2.859301499965983, + -2.8389563277503673, + -2.8004063862155446, + -2.744357896289745, + -2.671845522713108, + -2.5842058986317085, + -2.483044511905025, + -2.3701967779908206, + -2.2476842593101107, + -2.1176671022706763, + -1.9823938479789764, + -1.8441498290910834, + -1.7052053919389178, + -1.567765179449232, + -1.4339196766270281, + -1.3056001574217087, + -1.184538081271726, + -1.0722298718453764, + -0.9699078723957234, + -0.878518115203853, + -0.7987053707333269, + -0.7308057596560222, + -0.6748470223847075, + -0.6305563508497531, + -0.5973755006987642, + -0.5744827234971416, + -0.5608208922753907, + -0.5551310439981547, + -0.555990432895028, + -0.5618540822590139, + -0.5710987418625764, + -0.5820681054903071, + -0.5931181194704007, + -0.6026612190058167, + -0.6092083643229059, + -0.6114078122009762, + -0.6080796486442238, + -0.5982452229673232, + -0.5811507594418315, + -0.5562845764164676, + -0.523387510560336, + -0.48245632132013105, + -0.43374003332786876, + -0.37772935771755534, + -0.315139512471061, + -0.2468869324859657, + -0.17406051773241582, + -0.09788820866105723, + -0.019699798386950133, + 0.05911301193146639, + 0.1371382371180246, + 0.21298579073058377, + 0.2853290913773237, + 0.3529449721146473, + 0.4147508159152694, + 0.46983791136558267, + 0.5175001198281047, + 0.5572570658420717, + 0.5888712034942535, + 0.612358269318119, + 0.6279908029900373, + 0.6362945963757379, + 0.6380381148081137, + 0.6342151172109795, + 0.626020879194728, + 0.6148225910354559, + 0.6021246562444919, + 0.5895297523201867, + 0.5786966297720701, + 0.5712957156735011, + 0.5689636514923454, + 0.5732579300946221, + 0.5856128026442815, + 0.607297602397318, + 0.6393785796128709, + 0.6826852612082095, + 0.73778224229685, + 0.804947186948785, + 0.8841556655655197, + 0.9750732898467374, + 1.07705542753495, + 1.1891545923720965, + 1.3101354146084208, + 1.4384969086836066, + 1.5725015720447755, + 1.7102106770259087, + 1.8495249605878625, + 1.9882297784453618, + 2.124043674166619, + 2.2546692231586047, + 2.3778449483612967, + 2.4913970706079303, + 2.593289852885626, + 2.6816733243306476, + 2.75492722614634, + 2.811700106436264, + 2.8509426021937547, + 2.8719340817213586, + 2.8743019763193693, + 2.8580333024215263, + 2.823478060290371, + 2.771344388421769, + 2.702685549250359, + 2.6188790168085885, + 2.521598125914159, + 2.412776920632148, + 2.2945690028270564, + 2.1693013256013916, + 2.0394239977911086 + ], + [ + 1.9474452662692847, + 1.8163827262871277, + 1.687397998954817, + 1.5629353431855213, + 1.445313204010084, + 1.3366743115546293, + 1.238939863280488, + 1.1537688463592157, + 1.0825234336480625, + 1.0262412409914117, + 0.9856150690637311, + 0.9609805737095328, + 0.952312119103648, + 0.9592268726793344, + 0.9809970044170407, + 1.0165696605367587, + 1.064594197576679, + 1.1234559917411282, + 1.1913159844083363, + 1.2661549915244608, + 1.3458216954783584, + 1.4280831555603217, + 1.5106766192065582, + 1.5913613921625176, + 1.667969531968661, + 1.7384541655408123, + 1.8009342971014946, + 1.8537350656210285, + 1.8954225288769755, + 1.9248321912543085, + 1.941090650964381, + 1.9436299154858563, + 1.9321941174012909, + 1.9068385518513125, + 1.86792114685624, + 1.8160866640511277, + 1.7522441053363138, + 1.6775379661711967, + 1.5933141246697515, + 1.5010812836549368, + 1.4024689872745992, + 1.299183312146462, + 1.1929613834122237, + 1.085525887369834, + 0.9785407440772762, + 0.8735690657781664, + 0.7720344612181492, + 0.6751866536341323, + 0.5840722637991455, + 0.4995114719866453, + 0.4220811175963886, + 0.3521046264121833, + 0.2896489773289232, + 0.23452873741040597, + 0.1863170109540071, + 0.14436296947667074, + 0.10781545971564942, + 0.07565203014448361, + 0.046712577090640854, + 0.019736692821478982, + -0.006596297068172775, + -0.03362568858643863, + -0.06266726934884129, + -0.09497183869775162, + -0.13168549610368768, + -0.17381277040909074, + -0.22218358928809306, + -0.277424989374253, + -0.3399383453478156, + -0.4098827539572264, + -0.4871650500681856, + -0.5714367603995503, + -0.6620981209499479, + -0.7583091007846523, + -0.8590071924788212, + -0.9629315527217236, + -1.068652909863748, + -1.1746085027731263, + -1.2791411811490259, + -1.3805416848467924, + -1.4770930317078859, + -1.5671158821385438, + -1.6490137158664984, + -1.7213166528335304, + -1.7827227762290674, + -1.8321358706739466, + -1.8686985712355275, + -1.89182002731267, + -1.9011973168431122, + -1.896829997546055, + -1.8790273493068275, + -1.8484080412152912, + -1.8058921437531887, + -1.7526855965576618, + -1.690257430353788, + -1.6203102233672133, + -1.5447444432661284, + -1.4656174811707219, + -1.3850983206059408, + -1.305418898024702, + -1.2288232998097088, + -1.1575160012126744, + -1.0936103839314326, + -1.0390787700994117, + -0.9957051812534838, + -0.9650419719870005, + -0.9483714008489936, + -0.9466730876813642, + -0.960598169706675, + -0.9904508115855032, + -1.036177551152826, + -1.0973647768250645, + -1.173244439256841, + -1.2627079034272666, + -1.3643276527374169, + -1.4763863686516236, + -1.5969127325082646, + -1.7237231346842494, + -1.8544683342694068, + -1.9866839932674025, + -2.11784391600486, + -2.2454147591858282, + -2.3669109424728236, + -2.4799484844809343, + -2.582296514761341, + -2.6719252680987258, + -2.7470494518898922, + -2.806165988444324, + -2.848085269035077, + -2.871955212130286, + -2.877277590648837, + -2.8639162780962444, + -2.8320972565314824, + -2.7824004257811645, + -2.7157434483652065, + -2.6333580534788656, + -2.5367594014980237, + -2.427709273515532, + -2.308173994430343, + -2.180278119624941, + -2.0462550113653037, + -1.9083954994550132, + -1.768995859771002, + -1.6303063532248412, + -1.4944815462979115, + -1.3635335832049413, + -1.2392895002921682, + -1.1233535675151096, + -1.0170755124510507, + -0.9215253325469036, + -0.837475234942378, + -0.7653890644029245, + -0.705419393106397, + -0.6574122558990989, + -0.6209193258902727, + -0.5952171425635924, + -0.5793328324629881, + -0.5720756051989752, + -0.5720731688830978, + -0.5778120925219525, + -0.5876810512213366, + -0.6000158254718206, + -0.6131448898355281, + -0.6254344198387654, + -0.6353315688682492, + -0.6414049187046932, + -0.6423810866212197, + -0.6371765766556753, + -0.6249240900342675, + -0.6049926565135659, + -0.5770011108726155, + -0.540824612792531, + -0.4965940894903162, + -0.4446886641364692, + -0.38572131463425113, + -0.32051818218287825, + -0.25009211277134563, + -0.17561116322214385, + -0.09836293287975417, + -0.01971568925368125, + 0.058922661821573595, + 0.13614665572855597, + 0.210595265734862, + 0.28099268651304427, + 0.3461868055777525, + 0.4051843232903121, + 0.4571815684080697, + 0.501590167047059, + 0.5380568555845048, + 0.5664768791043666, + 0.5870005826709137, + 0.6000329788174429, + 0.6062262567089439, + 0.6064653818731972, + 0.6018471155493148, + 0.5936529550082825, + 0.5833166562793557, + 0.5723871444938742, + 0.5624877408616384, + 0.555272735948062, + 0.5523824138219229, + 0.5553976788342152, + 0.565795455000483, + 0.5849060166471811, + 0.6138733683412119, + 0.6536197230789544, + 0.7048150319073408, + 0.7678523978977269, + 0.8428300656221142, + 0.9295405174625799, + 1.0274670341487948, + 1.135787893155909, + 1.2533881895511614, + 1.3788790742393588, + 1.5106240190374445, + 1.6467715412284696, + 1.7852936566190056, + 1.9240291837508499, + 2.0607308964774425, + 2.193115420776658, + 2.3189146970158325, + 2.4359277828361177, + 2.5420717556052717, + 2.635430487488365, + 2.7143001103457824, + 2.777230060886451, + 2.823058697062498, + 2.850942602193755, + 2.8603788407432864, + 2.8512195954702415, + 2.823678795848428, + 2.778330537784118, + 2.716099290169621, + 2.638242079907508, + 2.546323038951303, + 2.442180879947319, + 2.3278900367566986, + 2.20571635833846, + 2.0780683754603686, + 1.947445266269286 + ], + [ + 1.8559111715761123, + 1.7268558293192071, + 1.6014804959401596, + 1.4821567010481218, + 1.3710988555661976, + 1.2703166735134246, + 1.1815723258296256, + 1.1063433129915214, + 1.0457919061355023, + 1.000741849067807, + 0.9716628397492099, + 0.9586631238320967, + 0.9614903391422587, + 0.9795405533594188, + 1.0118752423507607, + 1.057245768391772, + 1.1141247404430101, + 1.1807434770350604, + 1.2551346500574363, + 1.335179068279957, + 1.4186554656221493, + 1.5032920932574252, + 1.5868188781351222, + 1.667018904239751, + 1.7417779969520262, + 1.8091312445535686, + 1.8673053728208473, + 1.914755996685666, + 1.950198904360662, + 1.9726346808291373, + 1.981366145380407, + 1.976008257742142, + 1.9564903348377514, + 1.923050610619355, + 1.8762233600726594, + 1.8168189906913041, + 1.7458976759776408, + 1.6647372616292402, + 1.5747963121864355, + 1.4776732806976598, + 1.3750628736209705, + 1.2687107455686955, + 1.160367692148459, + 1.051744513308859, + 0.9444686942504336, + 0.8400439968374153, + 0.7398139729866257, + 0.6449303048405225, + 0.5563267474031608, + 0.4746993010391959, + 0.4004930775900421, + 0.333896149010122, + 0.2748404858066806, + 0.2230099087796139, + 0.1778547962519341, + 0.1386131147378619, + 0.10433717821226318, + 0.07392539392786623, + 0.04615812478566746, + 0.01973669282147898, + -0.006675531918607454, + -0.03441106595999303, + -0.0647564038987555, + -0.09891139577229227, + -0.13795100574785776, + -0.18279048591573258, + -0.23415491072094943, + -0.2925539049510393, + -0.3582622640612669, + -0.4313070133511923, + -0.5114612859535012, + -0.5982452229673229, + -0.6909339168299039, + -0.7885722357846219, + -0.8899961877117262, + -0.9938603101965491, + -1.098670414873502, + -1.2028208718482545, + -1.3046354979996384, + -1.40241101432826, + -1.4944619648009558, + -1.579165944243017, + -1.6550079669633557, + -1.7206228214460848, + -1.7748342993510013, + -1.8166902582483648, + -1.8454925752735256, + -1.8608211708597036, + -1.8625514249180855, + -1.8508644687717124, + -1.8262500108519637, + -1.789501538320115, + -1.7417039258223628, + -1.6842136718339287, + -1.6186321677890685, + -1.5467725808236954, + -1.4706210930852552, + -1.3922933851260824, + -1.3139873742527175, + -1.237933317733655, + -1.1663424629458783, + -1.1013554699993449, + -1.0449918459579897, + -0.9991016130503838, + -0.9653203865557151, + -0.9450289624239038, + -0.9393184119202822, + -0.9489615531250433, + -0.9743915200279817, + -1.015687982839205, + -1.0725713920352926, + -1.1444054279762212, + -1.2302076423014152, + -1.3286680815107745, + -1.438175491936489, + -1.5568505233833787, + -1.6825851805070005, + -1.813087620624536, + -1.9459312677945875, + -2.0786071088148446, + -2.2085779598247965, + -2.333333444352706, + -2.450444406087423, + -2.557615492821484, + -2.6527346915841834, + -2.733918667901002, + -2.7995528625981136, + -2.848325425164182, + -2.87925421031783, + -2.8917062305019177, + -2.885409137479633, + -2.8604544966372027, + -2.8172928133583826, + -2.7567204671542744, + -2.6798589013277376, + -2.5881265991522318, + -2.4832045474020608, + -2.3669960404691426, + -2.241581809559349, + -2.1091715684222443, + -1.9720531471766853, + -1.8325404371594656, + -1.6929213911643712, + -1.5554073145107652, + -1.4220846433895642, + -1.2948703389247562, + -1.1754719301177503, + -1.0653531187366112, + -0.9657057173052975, + -0.8774285312057866, + -0.801113621535778, + -0.7370402011178684, + -0.6851762265180317, + -0.6451875588081228, + -0.6164543798087231, + -0.5980943732719167, + -0.5889920162781307, + -0.5878331790619726, + -0.5931441051486566, + -0.6033337411515429, + -0.6167383093293187, + -0.6316669678451523, + -0.6464473847222084, + -0.6594700621315921, + -0.6692302875217735, + -0.6743666561151278, + -0.6736952036680719, + -0.6662383066709038, + -0.6512476463126723, + -0.6282206889978755, + -0.596910305990789, + -0.5573273335662676, + -0.5097360583302364, + -0.45464279549932035, + -0.39277790626786857, + -0.3250717694382626, + -0.2526253779816176, + -0.1766763692106793, + -0.0985614143075106, + -0.019675986108390914, + 0.058567409036420735, + 0.1347814105215716, + 0.20764525897250402, + 0.2759444121342829, + 0.33860725307429307, + 0.39473789780385854, + 0.44364421017720834, + 0.4848602556937591, + 0.5181625694860018, + 0.5435797736914749, + 0.5613952515430677, + 0.5721427655157043, + 0.5765950901858774, + 0.5757459124520634, + 0.5707854278153862, + 0.5630702270618748, + 0.5540882187062838, + 0.5454194651010761, + 0.5386939207889813, + 0.5355471476338498, + 0.5375751402680389, + 0.5462894258832446, + 0.5630736035159887, + 0.5891424596227567, + 0.62550473952582, + 0.6729305695847766, + 0.7319244147476376, + 0.8027043231366996, + 0.8851880567817865, + 0.9789865392744547, + 1.0834048711322866, + 1.1974509764823398, + 1.319851754936801, + 1.4490764249555026, + 1.5833665642400734, + 1.7207721832956806, + 1.8591930144681528, + 1.9964240643817357, + 2.130204366155855, + 2.258267781899939, + 2.3783946479779456, + 2.48846302691602, + 2.586498331394241, + 2.6707201175675466, + 2.739584906307194, + 2.791823980418019, + 2.8264752213479802, + 2.8429081876005102, + 2.8408417956460252, + 2.820354138770732, + 2.781884165761905, + 2.7262251350759525, + 2.654509956450546, + 2.5681887260174476, + 2.4689989481100354, + 2.3589291125664476, + 2.24017645611092, + 2.115099876442702, + 1.9861690845444229, + 1.8559111715761134 + ], + [ + 1.7655961335723442, + 1.6396340086422074, + 1.5189112643340774, + 1.4057066488591874, + 1.302111824304688, + 1.2099865137393082, + 1.1309189891016338, + 1.0661928081467147, + 1.0167605592274498, + 0.9832252050889178, + 0.9658294352468393, + 0.9644532453367178, + 0.97861976571994, + 1.007509165395954, + 1.0499802656729156, + 1.1045993157516352, + 1.169675213804488, + 1.2433003063653965, + 1.3233957695299123, + 1.4077604707048936, + 1.4941221319469156, + 1.5801895671200377, + 1.6637047463064978, + 1.7424934524980997, + 1.8145133372125752, + 1.8778982522111898, + 1.9309978321239853, + 1.9724114250361744, + 2.0010156118698426, + 2.0159847171012464, + 2.0168038889425377, + 2.003274512210455, + 1.9755119071009946, + 1.9339354572747722, + 1.879251496325395, + 1.8124294582680107, + 1.7346719607989904, + 1.64737963573601, + 1.5521116456889767, + 1.4505429266054157, + 1.344419269953157, + 1.2355114041874438, + 1.125569251745124, + 1.0162775247944202, + 0.9092137807637078, + 0.8058099884233846, + 0.7073185588471393, + 0.6147836754296654, + 0.5290186163730922, + 0.45058960527061964, + 0.3798065546300289, + 0.31672088772851753, + 0.26113044062087826, + 0.21259126307981485, + 0.1704359593548937, + 0.13379804138516022, + 0.10164161273214889, + 0.07279556490392221, + 0.045991352355229845, + 0.01990332117581292, + -0.00680949838881388, + -0.035461262275297896, + -0.06729798037370374, + -0.10345809504759158, + -0.1449360338608247, + -0.19254972277750215, + -0.24691294352956178, + -0.30841329348799934, + -0.3771963613969313, + -0.453156571399546, + -0.535934974969758, + -0.6249240900342672, + -0.7192797032902891, + -0.8179393701370278, + -0.9196471713486468, + -1.022984121074723, + -1.1264034711479936, + -1.2282700258255888, + -1.3269024723407146, + -1.4206176487979887, + -1.507775614188413, + -1.586824357133883, + -1.6563429811866168, + -1.715082235161528, + -1.7620013163871586, + -1.7962999615204465, + -1.8174449515917723, + -1.8251902925029364, + -1.8195904859968162, + -1.8010064753701902, + -1.7701040307337559, + -1.7278445259678963, + -1.6754682490316466, + -1.6144705742435914, + -1.5465715049072426, + -1.4736792627090989, + -1.3978487524635674, + -1.3212358631902026, + -1.2460486758398661, + -1.1744967314572243, + -1.1087395690311437, + -1.0508357682837965, + -1.0026937284515594, + -0.9660253797274301, + -0.9423039602233789, + -0.9327268995563839, + -0.9381847326404473, + -0.9592368267939512, + -0.9960945452329488, + -1.0486122942888407, + -1.1162867145282043, + -1.1982640819153163, + -1.2933557889716847, + -1.4000615823376947, + -1.5166000469571959, + -1.6409456528379456, + -1.7708715222538993, + -1.90399693722059, + -2.0378384924752986, + -2.1698637108404015, + -2.297545877910823, + -2.418418822959948, + -2.5301303735455387, + -2.630493242512283, + -2.717532167173617, + -2.789526209925779, + -2.845045245218794, + -2.882979796860069, + -2.9025635486618833, + -2.903388026582664, + -2.8854091374796336, + -2.848945443826477, + -2.794668250519401, + -2.723583774405172, + -2.6370078546832185, + -2.536533838304279, + -2.4239944346433204, + -2.3014184741904806, + -2.170983623395155, + -2.034966199301278, + -1.895689291052584, + -1.7554704292441619, + -1.616570047699692, + -1.4811419555564114, + -1.3511869812827664, + -1.2285108659035557, + -1.114687372419911, + -1.0110274449783985, + -0.9185550981201477, + -0.8379905472657482, + -0.769740910687291, + -0.713898625089557, + -0.6702475262404014, + -0.6382763575809075, + -0.6171992880693655, + -0.6059828501499828, + -0.603378553876663, + -0.6079602976591189, + -0.6181655831393171, + -0.632339454087715, + -0.6487800190308073, + -0.6657843859957873, + -0.6816938359740556, + -0.6949370894137796, + -0.7040705764672357, + -0.7078147053403612, + -0.7050852317415166, + -0.6950189633033977, + -0.6769931826048771, + -0.6506383372291384, + -0.6158437209712745, + -0.5727560523962337, + -0.5217710408366971, + -0.46351821096079665, + -0.39883943066004324, + -0.3287617488285117, + -0.2544652955467871, + -0.17724712357334801, + -0.09848197370163378, + -0.019581024857654155, + 0.05805025917532393, + 0.13305405208930307, + 0.20416072883561268, + 0.2702269789266541, + 0.33027044104823483, + 0.3834999209425855, + 0.42934036884935645, + 0.46745192838862515, + 0.4977425222092237, + 0.52037360712843, + 0.535758908622467, + 0.5445561269098199, + 0.5476517898835792, + 0.5461396071567334, + 0.5412928499429966, + 0.5345314390727743, + 0.5273845641241275, + 0.521449776836775, + 0.518349598586856, + 0.5196867522325023, + 0.5269991712464822, + 0.5417159525809303, + 0.5651154037363499, + 0.5982862893464228, + 0.642093309287665, + 0.6971477406306401, + 0.7637840520831347, + 0.8420431549555709, + 0.9316627926553814, + 1.0320753952820354, + 1.1424135413841725, + 1.2615229799264376, + 1.387982976690746, + 1.5201335654051293, + 1.6561091094427027, + 1.7938774193288467, + 1.9312835285661063, + 2.0660971090313263, + 2.1960624104900157, + 2.3189495390795787, + 2.4326058487448203, + 2.5350062086636194, + 2.624300929040409, + 2.698860176883959, + 2.7573137913995485, + 2.7985855135779825, + 2.82192077395126, + 2.8269073331970924, + 2.8134882386717117, + 2.7819667419512975, + 2.733003013644774, + 2.6676026874507492, + 2.587097460897298, + 2.493118170653591, + 2.387560941082853, + 2.2725471713954417, + 2.1503782752779235, + 2.023486213581047, + 1.8943809624396064, + 1.7655961335723453 + ], + [ + 1.6772642583475135, + 1.55545520032738, + 1.4403888771989608, + 1.3342319886542793, + 1.2389357717270162, + 1.1561942526836777, + 1.0874084032461275, + 1.0336570232640925, + 0.9956750112555812, + 0.9738395077891767, + 0.9681642087983553, + 0.9783019511754066, + 1.0035554761366907, + 1.0428960816751687, + 1.09498968864348, + 1.158229670177959, + 1.2307756355195987, + 1.3105972206487135, + 1.395521822866518, + 1.4832851272912966, + 1.5715832123064941, + 1.6581249897227768, + 1.740683734484703, + 1.817146488106675, + 1.8855601788585867, + 1.9441733885114663, + 1.9914728079840367, + 2.026213559659329, + 2.047442719064167, + 2.0545155391476593, + 2.047104062304476, + 2.0251979940398726, + 1.9890979030823133, + 1.9394010010894105, + 1.876979936211501, + 1.802955204211834, + 1.7186619344304683, + 1.625611941860978, + 1.5254520477208724, + 1.4199197564504495, + 1.310797435024577, + 1.1998661694536656, + 1.0888604727545044, + 0.9794249885983446, + 0.8730742761382269, + 0.7711566757383227, + 0.6748231447076533, + 0.5850018195278822, + 0.5023789098545246, + 0.4273863636168803, + 0.36019656606134903, + 0.30072415304970673, + 0.24863483495765454, + 0.2033609467681201, + 0.16412326698009683, + 0.1299584871179751, + 0.09975156897902558, + 0.07227210193744754, + 0.046213670769554904, + 0.020235168133202967, + -0.006997063061833591, + -0.03676739239630652, + -0.07027049588663148, + -0.1085734693903757, + -0.15258148394399157, + -0.20300791343444385, + -0.26034974898329355, + -0.3248689773816555, + -0.3965804463235723, + -0.4752465709541606, + -0.5603790586334079, + -0.651247646312672, + -0.7468956621510341, + -0.8461620445964694, + -0.9477092826507917, + -1.0500565847375418, + -1.15161744448179, + -1.2507406533466077, + -1.3457537154934078, + -1.4350075518897691, + -1.516921340371945, + -1.590026327172613, + -1.653007463711852, + -1.7047417698469713, + -1.744332400180404, + -1.771137491627224, + -1.7847929957783097, + -1.7852288455964238, + -1.7726779690626249, + -1.7476778385266651, + -1.7110644293503492, + -1.6639586503832504, + -1.6077454971786753, + -1.5440463619513758, + -1.474685107524113, + -1.4016486715697776, + -1.327043108332584, + -1.2530460941525559, + -1.181857017498571, + -1.1156458414206916, + -1.0565019646136307, + -1.0063843156029684, + -0.9670738926263626, + -0.9401299100316293, + -0.926850631638299, + -0.9282398644030475, + -0.9449799544491919, + -0.9774119752232346, + -1.0255236279076112, + -1.0889451913611257, + -1.166953667221862, + -1.258485070058706, + -1.3621546173719574, + -1.476284384585104, + -1.5989378105765455, + -1.7279602741666586, + -1.8610248153477569, + -1.9956819505170742, + -2.1294124316022485, + -2.259681727196852, + -2.3839949614174882, + -2.4999510342029643, + -2.6052946655041636, + -2.6979651548133896, + -2.776140725564963, + -2.838277429204826, + -2.8831417136094246, + -2.9098359118661556, + -2.9178160765172505, + -2.9069017670916093, + -2.8772775906488377, + -2.8294864914587516, + -2.7644149820538853, + -2.683270698949039, + -2.587552847676582, + -2.479016269037769, + -2.3596300075686227, + -2.2315313905644505, + -2.096976728538754, + -1.9582898232631165, + -1.8178095157708478, + -1.6778375228506415, + -1.5405877962920524, + -1.4081385949039924, + -1.2823883862804994, + -1.1650165953111027, + -1.0574500920620995, + -0.9608361660231146, + -0.8760225704698055, + -0.8035450439168125, + -0.7436225297270083, + -0.6961601245228727, + -0.6607595958331688, + -0.6367371241071896, + -0.6231477484112401, + -0.6188158331138258, + -0.6223707286405185, + -0.6322866764594569, + -0.6469259098289307, + -0.664583829873794, + -0.6835350929626888, + -0.7020794311278636, + -0.7185860426642783, + -0.731535434585508, + -0.7395576710947468, + -0.7414660807485332, + -0.7362855969999028, + -0.7232750491746505, + -0.7019428800238616, + -0.6720559377592168, + -0.6336411705558694, + -0.5869802353395529, + -0.5325972156118021, + -0.47123982048992263, + -0.40385460457154626, + -0.3315569014582493, + -0.2555962989316806, + -0.17731859746997247, + -0.09812528316559678, + -0.01943160891662266, + 0.05737558756012103, + 0.130979194665726, + 0.20017115602591395, + 0.26388875896226244, + 0.3212469027017687, + 0.37156547107598176, + 0.41439106139470944, + 0.44951246745801643, + 0.4769694765943085, + 0.49705471408526514, + 0.5103084489707973, + 0.5175064584454916, + 0.5196412292195995, + 0.5178969487270119, + 0.5136189024864902, + 0.5082780421013173, + 0.5034316175341931, + 0.5006808741100943, + 0.5016268964270039, + 0.5078257358660258, + 0.5207439842408562, + 0.5417159525809301, + 0.571903581107777, + 0.6122601448810868, + 0.6634987308201483, + 0.7260663479911023, + 0.8001243969653238, + 0.8855360690361286, + 0.9818610759473504, + 1.0883579297405168, + 1.2039938048523935, + 1.327461825346153, + 1.4572054338472291, + 1.5914493200263127, + 1.7282362197965406, + 1.8654687459506312, + 2.000955280542268, + 2.1324588522144734, + 2.257747840623754, + 2.3746472971910295, + 2.481089648027121, + 2.5751635517003, + 2.655159721461818, + 2.7196125878022643, + 2.767336771232553, + 2.79745745473618, + 2.809433887558225, + 2.803075413452224, + 2.7785495932899753, + 2.736382179759525, + 2.67744889616292, + 2.6029591673423775, + 2.5144321437267605, + 2.4136655446841306, + 2.302698020260325, + 2.1837658867448826, + 2.059255227501697, + 1.9316504627969606, + 1.803480578193525, + 1.6772642583475146 + ], + [ + 1.5916628735366516, + 1.4750315951844142, + 1.3665776694617584, + 1.268337428401384, + 1.1821051958254787, + 1.109394997216339, + 1.0514086875082091, + 1.009011225806373, + 0.9827136554970575, + 0.9726641644148165, + 0.9786474071630143, + 1.000092075030157, + 1.0360865029988477, + 1.0854019128725796, + 1.146522711177127, + 1.2176830946042851, + 1.2969090683723763, + 1.3820648575379737, + 1.4709025910186149, + 1.5611140652691482, + 1.650383350909504, + 1.736438992124243, + 1.8171045655963602, + 1.8903464126033451, + 1.9543174334606732, + 2.0073959358114566, + 2.0482186547399874, + 2.0757072101504748, + 2.089087431608266, + 2.0879011587784664, + 2.072010312288594, + 2.041593220653629, + 1.9971333791079728, + 1.9394010010894107, + 1.8694278981574342, + 1.7884763849992384, + 1.6980030489397715, + 1.5996183445443213, + 1.4950430705445377, + 1.3860628561094155, + 1.2744818247727798, + 1.1620766161828617, + 1.050551928057773, + 0.9414986938528144, + 0.836355936936435, + 0.7363772414883478, + 0.6426026564761297, + 0.555836705112545, + 0.47663301181920886, + 0.4052858860019553, + 0.3418290212609146, + 0.28604128458767725, + 0.23745938729524624, + 0.19539705249729242, + 0.1589701273615601, + 0.12712693630282512, + 0.09868303757829923, + 0.07235943376200832, + 0.046823199114257204, + 0.020729426118227125, + -0.007236639055658856, + -0.038318405871164536, + -0.07364880161122071, + -0.11421424041897134, + -0.1608226720300491, + -0.2140765768612147, + -0.27435164562778236, + -0.34178173409998536, + -0.4162505207113121, + -0.4973901206229653, + -0.5845867289355824, + -0.6769931826048766, + -0.7735481499038128, + -0.8730014825661135, + -0.9739451034582945, + -1.074848655891988, + -1.1740990132510343, + -1.2700426427344083, + -1.3610297374103615, + -1.4454589785119394, + -1.5218217663695504, + -1.5887447642437718, + -1.6450296345262367, + -1.6896889105180901, + -1.7219770377571224, + -1.7414157344501418, + -1.7478129581544988, + -1.7412749220637551, + -1.7222107752369307, + -1.691329742640316, + -1.649630708445172, + -1.5983844149823125, + -1.5391086353890198, + -1.473536855660593, + -1.4035811670905063, + -1.3312902188009839, + -1.2588032084815726, + -1.188300994315423, + -1.121955489705456, + -1.061878552784097, + -1.0100716034644965, + -0.968377191361052, + -0.9384336984116395, + -0.9216342913544416, + -0.9190911429530157, + -0.9316058193116983, + -0.9596465866951416, + -1.003333228432834, + -1.0624297846957294, + -1.136345439495984, + -1.2241435847694195, + -1.3245588955963896, + -1.4360220582821412, + -1.5566916088547775, + -1.6844921680560558, + -1.8171582042985115, + -1.9522823221341685, + -2.087366963813558, + -2.219878328212742, + -2.3473012568227065, + -2.4671938119796697, + -2.577240278680893, + -2.6753013580410983, + -2.7594603868153484, + -2.828064511833555, + -2.8797598683628647, + -2.9135199544085713, + -2.9286665552969593, + -2.9248827505964283, + -2.902217724194061, + -2.8610832935530004, + -2.802242271076333, + -2.726788964302815, + -2.636122307646108, + -2.5319122920457495, + -2.4160605160156954, + -2.290655818356255, + -2.1579260659427937, + -2.020187256809132, + -1.8797911571454995, + -1.7390727194713613, + -1.6002985274962844, + -1.4656174811707225, + -1.3370148740190249, + -1.2162709256282025, + -1.1049247174080952, + -1.0042443423363083, + -0.9152039228025334, + -0.8384679787843817, + -0.7743834457040795, + -0.7229794519765564, + -0.6839747751593724, + -0.6567927074809161, + -0.6405828809986679, + -0.6342494341681456, + -0.6364847493205805, + -0.6458078581771383, + -0.660606503290524, + -0.6791817598395068, + -0.6997940664998834, + -0.720709487472649, + -0.7402450307358687, + -0.7568118800303629, + -0.768955459085684, + -0.7753913345256643, + -0.7750360764762694, + -0.7670323302348183, + -0.7507675050121666, + -0.7258856528395945, + -0.6922922879960512, + -0.6501520802676501, + -0.5998795393720084, + -0.5421229883180537, + -0.47774229577601396, + -0.40778099736169426, + -0.33343357907140686, + -0.25600881933587716, + -0.17689018619904495, + -0.09749436046273872, + -0.019229002411769038, + 0.05654910221796904, + 0.12857439248352753, + 0.1957102941346802, + 0.256983376450084, + 0.3116129812525034, + 0.3590355190503191, + 0.39892276571897245, + 0.43119364885910466, + 0.45601918200706887, + 0.473820382949045, + 0.48525919499317616, + 0.4912226125580422, + 0.4928003902120791, + 0.4912568828331627, + 0.4879977195639531, + 0.4845321517656801, + 0.48243203170346344, + 0.48328847123613766, + 0.48866729593680575, + 0.5000644481000515, + 0.5188625009637325, + 0.5462894258832441, + 0.5833807045780225, + 0.630945801085684, + 0.6895399045710415, + 0.7594417271620745, + 0.840637993632308, + 0.9328150956444828, + 1.0353582064660611, + 1.147357966940243, + 1.2676246646426215, + 1.3947096402715677, + 1.5269334730951871, + 1.6624203252642102, + 1.799137667310104, + 1.934940468142369, + 2.0676188158480913, + 2.194947843554816, + 2.3147387699051616, + 2.4248898279971454, + 2.5234358509437502, + 2.6085953067325676, + 2.6788136293108207, + 2.73280177553552, + 2.7695690468613696, + 2.7884493477808645, + 2.7891202068781404, + 2.7716140571910133, + 2.7363214562506615, + 2.6839861182188067, + 2.6156918262887636, + 2.5328414881824814, + 2.4371287864036275, + 2.330503053277491, + 2.215128164353518, + 2.093336388456903, + 1.9675782550000764, + 1.8403695960982258, + 1.7142369901897938, + 1.5916628735366527 + ], + [ + 1.5095162055903253, + 1.3990436133049136, + 1.2981021173398788, + 1.2085804658978678, + 1.13210090898833, + 1.0699846902154506, + 1.023224415773078, + 0.9924639303723984, + 0.9779861508866767, + 0.979709118902633, + 0.9971903377389509, + 1.0296392625930149, + 1.0759376190987, + 1.1346670404221488, + 1.2041433405842645, + 1.2824565861569877, + 1.3675159935951682, + 1.4570985684856208, + 1.5489003185774508, + 1.6405888166051614, + 1.729855862925896, + 1.8144690024266306, + 1.8923206848294463, + 1.9614739215035253, + 2.0202033835318907, + 2.067031002752477, + 2.1007552768504945, + 2.120473637830324, + 2.125597416389569, + 2.115859118544427, + 2.0913119207498205, + 2.0523214810156474, + 1.9995503514147013, + 1.9339354572747727, + 1.8566592758224676, + 1.769115497992503, + 1.672870087846403, + 1.5696187613815753, + 1.4611419878671044, + 1.3492586702796194, + 1.2357796856934955, + 1.12246246109567, + 1.010967725277877, + 0.9028195141732195, + 0.7993694169232164, + 0.701765935425088, + 0.6109296940629448, + 0.5275350822489737, + 0.451998744214675, + 0.3844751524670462, + 0.32485931796914536, + 0.27279650605369127, + 0.22769864697782505, + 0.1887669584165662, + 0.15502013839227868, + 0.12532734514089774, + 0.09844505878913594, + 0.07305682151085072, + 0.047814780503725854, + 0.021381913484677835, + -0.007526199448972553, + -0.04010118042403305, + -0.07740431555234081, + -0.12033268465799858, + -0.16958987393860953, + -0.22566206715659684, + -0.28880017108148587, + -0.35900847406804226, + -0.4360401668300202, + -0.5193998759556923, + -0.6083531780314294, + -0.7019428800238621, + -0.7990116744418487, + -0.898230610255754, + -0.9981326668552795, + -1.0971505823975558, + -1.1936579732109123, + -1.2860126904245206, + -1.37260129603368, + -1.4518835048659513, + -1.5224354323598215, + -1.5829905109496512, + -1.6324769896746893, + -1.670051011176303, + -1.6951243655993307, + -1.7073861495041647, + -1.7068177065722945, + -1.6937003919873925, + -1.668615879816165, + -1.6324389181001444, + -1.586322625096158, + -1.5316766074692514, + -1.470138362571955, + -1.4035385977003794, + -1.3338612551173883, + -1.2631991687507023, + -1.1937063933421768, + -1.1275483365209176, + -1.0668508864913995, + -1.0136497611392816, + -0.9698413074490397, + -0.9371359530275528, + -0.9170154548102822, + -0.9106950049992394, + -0.9190911429530153, + -0.9427962867806976, + -0.9820605430327684, + -1.0367812808910961, + -1.1065007728106497, + -1.1904120111453405, + -1.2873726145896922, + -1.3959265440655737, + -1.5143331597267415, + -1.64060297364471, + -1.7725392908176651, + -1.907784788382065, + -2.0438719628112323, + -2.1782762804096123, + -2.3084707998851735, + -2.431980998849043, + -2.546438529673702, + -2.6496326544116684, + -2.739558162859091, + -2.8144586610285147, + -2.87286422725178, + -2.9136225671936016, + -2.9359229539527627, + -2.939312411388092, + -2.9237037836389996, + -2.889375527012486, + -2.8369632572735553, + -2.767443281111807, + -2.682108530402329, + -2.5825374972216935, + -2.470556932068995, + -2.3481992133964247, + -2.2176554198581298, + -2.0812252346786, + -1.9412648818847549, + -1.8001343351848305, + -1.6601450510796245, + -1.523509458168581, + -1.3922933851260828, + -1.2683725317640469, + -1.1533939829614857, + -1.0487436366734766, + -0.9555202679610916, + -0.874516784743127, + -0.8062090519031802, + -0.7507524729442027, + -0.7079863272148028, + -0.6774456705686049, + -0.6583804228541416, + -0.6497810914118158, + -0.650410420055009, + -0.6588401117438621, + -0.6734916537652204, + -0.6926801796024611, + -0.7146602340840174, + -0.7376722694313141, + -0.7599886903615299, + -0.7799582865769895, + -0.7960479401908039, + -0.8068805725742821, + -0.8112683977524452, + -0.8082406751691168, + -0.7970653001700414, + -0.7772637321990825, + -0.7486189343598274, + -0.7111761792595854, + -0.6652367603391832, + -0.6113448305444841, + -0.5502677666078961, + -0.4829706229357468, + -0.4105853899707695, + -0.3343759041261708, + -0.2556993666500894, + -0.17596551431377563, + -0.0965945434846216, + -0.018974919485804844, + 0.05557779558885145, + 0.12585999125735442, + 0.19081588407207423, + 0.24956925405089297, + 0.3014501840352982, + 0.34601607392960254, + 0.38306635060304595, + 0.4126504580865966, + 0.4350688874198292, + 0.45086718667483694, + 0.46082307471317085, + 0.4659269624772536, + 0.4673563585046394, + 0.46644479648741527, + 0.46464606797662733, + 0.46349466904324005, + 0.46456347263048764, + 0.4694197158133705, + 0.47958044120069454, + 0.4964685529411025, + 0.521370639615017, + 0.5553976788342144, + 0.5994496724890706, + 0.6541851688533673, + 0.7199965104266464, + 0.7969915073332421, + 0.8849820787236764, + 0.9834802328215234, + 1.091701574279598, + 1.2085763398686824, + 1.332767774887739, + 1.462697477758429, + 1.59657716367029, + 1.7324461342997683, + 1.8682135936541573, + 2.0017048236980046, + 2.1307101308092955, + 2.2530353979090245, + 2.366553029283829, + 2.4692520569523024, + 2.55928618945616, + 2.6350186259848067, + 2.6950625298234985, + 2.738316153587328, + 2.763991732224062, + 2.7716374053730943, + 2.761151594841606, + 2.7327894417238534, + 2.6871610967015744, + 2.6252218517192647, + 2.548254296778834, + 2.4578428772653647, + 2.35584141031102, + 2.24433428874243, + 2.125592253969209, + 2.0020237510068277, + 1.8761229864447284, + 1.7504158909221783, + 1.627405239566108, + 1.5095162055903277 + ], + [ + 1.4315192524911562, + 1.3281341474005373, + 1.2355415549898165, + 1.155466672086848, + 1.0893459701094137, + 1.0382967607116094, + 1.0030940397331436, + 0.9841551345692778, + 0.981532494252663, + 0.9949147677497805, + 1.0236361189427192, + 1.0666935312869428, + 1.1227716659612048, + 1.1902746590520796, + 1.2673640802664727, + 1.3520021317871838, + 1.441999044650587, + 1.5350635343438919, + 1.6288551094734989, + 1.7210369889402932, + 1.8093283749422848, + 1.891554851433795, + 1.9656957297795632, + 2.0299272438963514, + 2.0826606041208966, + 2.1225740496830228, + 2.1486381907194074, + 2.1601340984636654, + 2.15666378241587, + 2.138152881454799, + 2.104845587346495, + 2.057292009188672, + 1.9963283713230915, + 1.9230506106193557, + 1.8387820975294231, + 1.7450363450566067, + 1.6434756873740088, + 1.535867002421263, + 1.4240356181884382, + 1.309818579027268, + 1.195018455396257, + 1.0813588578697395, + 0.9704427646823947, + 0.8637146929221804, + 0.7624276387944763, + 0.6676155848596347, + 0.580072225062293, + 0.5003363954732236, + 0.4286845240919935, + 0.3651302312348251, + 0.30943102755477003, + 0.26110187426747816, + 0.21943519428526176, + 0.18352675812201621, + 0.15230671876632307, + 0.12457493898774717, + 0.0990396460197787, + 0.07435836496804783, + 0.04918002571071026, + 0.022187109894180934, + -0.007863294429819635, + -0.042100632975480105, + -0.08150526436266, + -0.12687703730056768, + -0.17880891517432118, + -0.23766636583019723, + -0.3035730842810318, + -0.37640345127050767, + -0.4557819553186154, + -0.5410896244626963, + -0.6314773310071572, + -0.7258856528395942, + -0.8230708028251736, + -0.921635977828823, + -1.0200673351104106, + -1.1167736798642691, + -1.2101288467096336, + -1.298515682586956, + -1.3803704907412189, + -1.4542267765517185, + -1.5187571464507936, + -1.5728122508769489, + -1.6154557302127928, + -1.645994217336292, + -1.6640015694644597, + -1.6693366424765026, + -1.662154079410645, + -1.6429077574195077, + -1.6123467198675536, + -1.5715036079301679, + -1.5216757943356738, + -1.464399606081263, + -1.4014181984449172, + -1.3346438050076506, + -1.2661152336086794, + -1.1979516025139176, + -1.1323034114271284, + -1.0713021157448728, + -1.0170094177347155, + -0.971367503887338, + -0.9361514430759721, + -0.9129249156155972, + -0.9030003698550257, + -0.9074046022786704, + -0.9268506316382982, + -0.9617165903915116, + -1.012032191249025, + -1.077473146938804, + -1.1573637317505705, + -1.2506874786476319, + -1.3561058104789376, + -1.4719842128659717, + -1.5964253743513495, + -1.7273085508384536, + -1.8623342603610222, + -1.9990732845069756, + -2.135018847574024, + -2.267640766349899, + -2.3944403142206334, + -2.513004524340288, + -2.6210586683292507, + -2.7165156891386846, + -2.797521438312844, + -2.862494667166036, + -2.910160845955097, + -2.9395790319418786, + -2.9501611727283827, + -2.9416834113797186, + -2.914289150238914, + -2.8684838263462016, + -2.8051215482318708, + -2.7253839367669963, + -2.630751697041358, + -2.5229696194193894, + -2.4040058618553455, + -2.276006498507713, + -2.1412464284785995, + -2.0020778205118863, + -1.8608773227702642, + -1.7199932901400288, + -1.5816942743854085, + -1.448119985141503, + -1.3212358631902033, + -1.2027923134155492, + -1.0942895256674505, + -0.9969486704724916, + -0.9116900966535645, + -0.8391189834440176, + -0.7795187149449501, + -0.7328520543598677, + -0.6987700040616998, + -0.6766280499298618, + -0.6655093091623374, + -0.6642539343242994, + -0.6714939768182964, + -0.6856927839016529, + -0.7051878979670292, + -0.7282363475801655, + -0.7530611686161611, + -0.7778979719311994, + -0.8010403817988451, + -0.8208832065363523, + -0.8359622683221244, + -0.8449899114298792, + -0.8468853245856345, + -0.8407989508968818, + -0.8261304142898427, + -0.8025395606637172, + -0.76995039073597, + -0.7285478452846713, + -0.6787675875511677, + -0.6212791073055574, + -0.556962641971443, + -0.48688056795550383, + -0.4122440559682971, + -0.33437590412617074, + -0.25467055898406826, + -0.1745524049567331, + -0.0954334450900521, + -0.01867150979525757, + 0.05446988536637187, + 0.12285895604986073, + 0.1855293347619715, + 0.24170911859511518, + 0.2908444929133313, + 0.3326172861109194, + 0.36695596849392026, + 0.39403977892531716, + 0.414295841804914, + 0.4283893196895603, + 0.43720682876582095, + 0.4418335208492272, + 0.4435244021190813, + 0.4436706111678518, + 0.4437615132636845, + 0.4453435805573985, + 0.44997711641063814, + 0.4591919437883532, + 0.474443211121588, + 0.49706847328938464, + 0.5282471802067736, + 0.5689636514923443, + 0.6199745341011029, + 0.6817816326168886, + 0.7546108717196534, + 0.8383980003728783, + 0.932781481213618, + 1.0371028305804968, + 1.150414489000593, + 1.2714951133892312, + 1.3988719953974782, + 1.5308501299367507, + 1.6655472884361266, + 1.8009342971014912, + 1.9348795852346163, + 2.065196955958323, + 2.1896954443521635, + 2.3062300682823436, + 2.412752246679193, + 2.5073586595254023, + 2.5883373534780643, + 2.6542099562194563, + 2.703768949948803, + 2.736109067824085, + 2.7506520139262265, + 2.747163864153129, + 2.7257646785623915, + 2.6869300408659442, + 2.631484433529814, + 2.5605865525466203, + 2.475706859648615, + 2.3785978567766444, + 2.271257743433639, + 2.1558882778187236, + 2.0348478034247326, + 1.910600520626944, + 1.785663174791612, + 1.662550396319123, + 1.5437199622245599, + 1.431519252491157 + ], + [ + 1.3583319037563824, + 1.2629031236397317, + 1.1794252730780277, + 1.1094454136982284, + 1.0542021053184731, + 1.0145993029273663, + 0.9911878714788008, + 0.9841551345692776, + 0.9933226819254007, + 1.0181524642863786, + 1.0577610074984847, + 1.1109413852315424, + 1.1761924063572602, + 1.2517543031460319, + 1.3356500541583318, + 1.4257313447091315, + 1.5197280612227433, + 1.6153001362220807, + 1.710090509995828, + 1.8017779543333805, + 1.8881285135452948, + 1.9670443579813954, + 2.03660891436385, + 2.0951272336989026, + 2.1411606788793014, + 2.1735551572925536, + 2.1914622852281322, + 2.1943530466069783, + 2.1820236941728943, + 2.154593832187319, + 2.112496811135157, + 2.0564627522551686, + 1.9874946982426809, + 1.9068385518513133, + 1.815947612296175, + 1.7164426467213272, + 1.6100685374517023, + 1.4986486228170341, + 1.384037898186844, + 1.2680762633711988, + 1.1525429923340413, + 1.0391135615879528, + 0.9293199057757131, + 0.8245150745826119, + 0.725843146709527, + 0.6342151172109796, + 0.5502913176250835, + 0.47447075798296406, + 0.40688760030320426, + 0.3474147890925907, + 0.2956746803360733, + 0.25105633110582937, + 0.21273894176659047, + 0.17972078607935202, + 0.15085282524156524, + 0.12487608353989678, + 0.10046176879320243, + 0.07625305248699676, + 0.05090738414297881, + 0.023138203020756584, + -0.008245072022124957, + -0.04429984725215785, + -0.08591695215954293, + -0.13379193016196916, + -0.1884017984766673, + -0.2499879110832301, + -0.3185453996959341, + -0.3938194963289317, + -0.47530886171322284, + -0.5622758610568875, + -0.6537635470647924, + -0.7486189343598261, + -0.8455219839407848, + -0.9430195652846055, + -1.039563531004699, + -1.1335519280080086, + -1.2233722827042433, + -1.3074458382503527, + -1.3842715906301526, + -1.4524689684304368, + -1.5108180286057005, + -1.558296096711595, + -1.5941098636978, + -1.6177220603597677, + -1.6288719622910335, + -1.6275891294142044, + -1.61419995116586, + -1.589326747032469, + -1.5538793579463481, + -1.5090393524279608, + -1.4562371576049782, + -1.3971226046932717, + -1.3335295466926507, + -1.267435358703837, + -1.2009162645617601, + -1.1360995440258452, + -1.0751137597485876, + -1.0200382004667592, + -0.9728527648146023, + -0.9353895080575572, + -0.9092870418427229, + -0.8959489154573063, + -0.8965070175064878, + -0.9117909214886754, + -0.9423039602233777, + -0.9882066558140594, + -1.0493079576376767, + -1.1250645549759184, + -1.214588337867108, + -1.3166618842728355, + -1.429761658497807, + -1.552088419703053, + -1.6816041648731002, + -1.816074772018227, + -1.953117370611114, + -2.0902513506875104, + -2.2249518325330255, + -2.354704357645472, + -2.477059530226204, + -2.5896863376072328, + -2.6904229078072905, + -2.7773235221232326, + -2.8487007888633387, + -2.9031619988794546, + -2.9396388216723643, + -2.957409659170495, + -2.9561141489617215, + -2.935759495539019, + -2.896718502454905, + -2.839719375436447, + -2.7658275616949735, + -2.6764200791271286, + -2.573152966269362, + -2.457922645440174, + -2.332822133573503, + -2.2000931543850877, + -2.0620752988601976, + -1.921153446381116, + -1.7797046945915544, + -1.6400460515164008, + -1.5043841184589282, + -1.374767937470976, + -1.2530460941525565, + -1.1408290572961473, + -1.0394576041998764, + -0.9499780276566899, + -0.873124651496362, + -0.8093100003218836, + -0.7586227802378699, + -0.7208336355923297, + -0.6954084567815546, + -0.681528830683724, + -0.6781190528014792, + -0.6838789629360439, + -0.6973217280273735, + -0.7168155800365251, + -0.7406284262139032, + -0.7669741859531963, + -0.7940596741531751, + -0.8201308463540565, + -0.8435172458989372, + -0.862673547272368, + -0.8762171711468935, + -0.8829610534010843, + -0.8819407797073805, + -0.8724354459141197, + -0.8539817685766581, + -0.8263811454598174, + -0.7896995481944872, + -0.7442603139159683, + -0.6906300849826215, + -0.6295983211785182, + -0.5621509727336529, + -0.48943905093114864, + -0.4127429622893831, + -0.33343357907140686, + -0.252931100516209, + -0.17266281367251685, + -0.09402088869685128, + -0.018321340323403698, + 0.05323474497234757, + 0.11959667697688572, + 0.1798953728037264, + 0.23346947038545837, + 0.2798856368326219, + 0.3189525154022365, + 0.35072792051426965, + 0.3755190661423991, + 0.39387579452813576, + 0.40657695491926144, + 0.414610261278314, + 0.419146129092537, + 0.42150615019050974, + 0.42312700678771203, + 0.4255207482083653, + 0.43023245273020694, + 0.4387963702179363, + 0.4526916867405366, + 0.4732990689905769, + 0.5018591335472845, + 0.5394339440939262, + 0.5868725695902735, + 0.6447816397972758, + 0.7135017138052661, + 0.7930901352903463, + 0.8833108886132255, + 0.9836317965276025, + 1.0932292174798597, + 1.2110002128026103, + 1.3355819662068356, + 1.4653780545538264, + 1.598590994529678, + 1.7332603289278572, + 1.867305372820844, + 1.9985716175960053, + 2.1248796927538836, + 2.2440757140329635, + 2.354081803692552, + 2.452945555806704, + 2.538887236615242, + 2.6103435570160443, + 2.6660069300985536, + 2.7048592294327745, + 2.726199191190066, + 2.7296627520209538, + 2.7152357813540933, + 2.683258847364981, + 2.63442384590015, + 2.5697625164997926, + 2.4906270645796798, + 2.3986632990443177, + 2.2957768754484364, + 2.184093401867813, + 2.065913313781063, + 1.9436625518340054, + 1.819840179215729, + 1.6969641509808453, + 1.5775164941329913, + 1.4638891734794781, + 1.3583319037563832 + ], + [ + 1.2905733574739537, + 1.2039024260008881, + 1.1302280407423928, + 1.0709060514028341, + 1.0269666476144201, + 0.9990928080787997, + 0.9876066425810849, + 0.9924639303723984, + 1.0132569635820583, + 1.0492256070845498, + 1.0992762914073773, + 1.1620084675600606, + 1.2357478766499548, + 1.3185858270951143, + 1.4084235320209624, + 1.5030204424186624, + 1.6000454206586556, + 1.6971295361608218, + 1.7919192318965813, + 1.8821286076814938, + 1.965589593904875, + 2.0402988466846477, + 2.104460280952142, + 2.156522269494117, + 2.1952086707030625, + 2.219543002341477, + 2.228865249159001, + 2.2228409744747197, + 2.2014625953316878, + 2.1650428728591735, + 2.114200859300335, + 2.049840726104039, + 1.9731240690450123, + 1.8854364423238625, + 1.7883490102005184, + 1.6835763186133765, + 1.572931277684733, + 1.4582785069018487, + 1.34148722667271, + 1.2243848821904755, + 1.1087126581447209, + 0.9960839865730676, + 0.8879470665524888, + 0.7855523056636965, + 0.6899254620260785, + 0.6018471155493149, + 0.5218389317042499, + 0.45015700477569676, + 0.3867923846867812, + 0.33147870669719587, + 0.28370666123534377, + 0.2427448664095526, + 0.20766654274820798, + 0.17738124253427645, + 0.15067075841511893, + 0.12622823097816582, + 0.1026993953072261, + 0.07872485415393138, + 0.05298224156655592, + 0.02422714618617942, + -0.008668302214701292, + -0.0466802169061298, + -0.0906020540679165, + -0.1410188601195708, + -0.1982873637120809, + -0.262522457067292, + -0.3335904447627328, + -0.41110926162126993, + -0.4944556795497184, + -0.5827793405897976, + -0.6750232747318597, + -0.7699503907359696, + -0.866175270637169, + -0.962200457797042, + -1.05645630789875, + -1.1473433752572344, + -1.2332762357335043, + -1.312727604256857, + -1.3842715906301526, + -1.4466249523542298, + -1.4986852473540027, + -1.5395648616864634, + -1.5686199858195427, + -1.5854737354880482, + -1.5900327564520667, + -1.5824968131687414, + -1.5633610354623808, + -1.533410680419834, + -1.4937084543911838, + -1.4455746274604693, + -1.390560355382133, + -1.3304147971802105, + -1.2670467760289443, + -1.2024818726568371, + -1.1388159607576376, + -1.0781662896896715, + -1.022621288638368, + -0.9741903066070154, + -0.9347545129958771, + -0.9060201637748874, + -0.8894753887400064, + -0.8863515771957475, + -0.8975903344638135, + -0.9238168523839054, + -0.9653203865557134, + -1.0220423651079762, + -1.0935724723475988, + -1.1791528601550885, + -1.277690445098087, + -1.3877770546956032, + -1.5077169968424098, + -1.6355614467394088, + -1.769148880180337, + -1.906150634785677, + -2.044120555375398, + -2.180547579225237, + -2.312910043940344, + -2.4387304569172468, + -2.5556294519488576, + -2.661377675810722, + -2.753944395254162, + -2.8315416915824048, + -2.892663214045997, + -2.936116592140296, + -2.9610487573900763, + -2.9669635937046452, + -2.9537315177800925, + -2.9215907828746097, + -2.871140495918034, + -2.8033255345539807, + -2.7194137425696963, + -2.6209659645842347, + -2.509799649412395, + -2.3879469021180038, + -2.2576079937757374, + -2.1211014422710055, + -1.98081185458484, + -1.8391367691101321, + -1.6984337545140507, + -1.5609690091292405, + -1.428868662202566, + -1.3040739066724731, + -1.1883009943154232, + -1.0830070005913048, + -0.9893621214261068, + -0.9082291011187511, + -0.8401502136065774, + -0.785342032862657, + -0.7436980368450806, + -0.7147988979027589, + -0.6979301255854758, + -0.6921065500073859, + -0.6961029696344061, + -0.7084901406245683, + -0.7276751592198216, + -0.7519451872099517, + -0.779513395599852, + -0.808565955079846, + -0.8373088847861807, + -0.8640135834716751, + -0.8870599091705191, + -0.9049757435920652, + -0.9164720739716627, + -0.9204727454446836, + -0.9161381781045785, + -0.9028825011573073, + -0.8803837279703393, + -0.8485867759915676, + -0.8076993199266839, + -0.7581806505588823, + -0.7007238905374327, + -0.6362320878495138, + -0.5657888632685312, + -0.49062442593898026, + -0.4120778879607934, + -0.33155690145824923, + -0.2504957078522636, + -0.17031272725844107, + -0.0923688251712947, + -0.017927373662428598, + 0.051882824253419384, + 0.1161007543955849, + 0.1739616640649025, + 0.22492002057425958, + 0.2686663326745518, + 0.3051373719471285, + 0.3345195032932774, + 0.3572450133487041, + 0.37398150842963285, + 0.3856146348401048, + 0.39322454943665786, + 0.3980567328076069, + 0.40148788709361316, + 0.40498779153613906, + 0.4100780979370775, + 0.4182891325409467, + 0.4311158282245179, + 0.4499739397859454, + 0.47615769476782066, + 0.5108000025612216, + 0.554836286191921, + 0.6089729155770154, + 0.6736611102380561, + 0.7490770461781455, + 0.8351087491568518, + 0.9313501886964571, + 1.0371028079880438, + 1.1513845388889636, + 1.272946163046932, + 1.4002946945470267, + 1.531723281001985, + 1.6653469531696625, + 1.7991434021824209, + 1.9309978321239867, + 2.058750827323574, + 2.180248091124649, + 2.293390858162844, + 2.3961857568049227, + 2.4867929030834635, + 2.563571042192798, + 2.625118617630246, + 2.6703097398848916, + 2.698324144017621, + 2.708670365725865, + 2.7012015251617107, + 2.676123283004089, + 2.633993719815413, + 2.5757150829952034, + 2.5025175409590683, + 2.415935276743673, + 2.317775438351264, + 2.2100806362596987, + 2.0950858353855026, + 1.975170625539343, + 1.852807967687282, + 1.7305106003310446, + 1.6107763488906326, + 1.496033609654558, + 1.388588277927491, + 1.290573357473956 + ], + [ + 1.228816881606515, + 1.1516312270841547, + 1.0883660888304758, + 1.0401746456449463, + 1.0078700212936174, + 0.9919084681290973, + 0.9923806518569952, + 1.009011225806372, + 1.0411666861794546, + 1.0878713032954626, + 1.1478307325816448, + 1.2194627276478793, + 1.3009342106114514, + 1.3902038059651043, + 1.485068817301267, + 1.5832155241754287, + 1.682271601753472, + 1.7798594204084028, + 1.8736489671605545, + 1.9614091460982184, + 2.0410562602296403, + 2.110698551421084, + 2.168675776280004, + 2.2135929214975927, + 2.2443473091243495, + 2.2601485068509386, + 2.2605306365121227, + 2.245356861306193, + 2.214816023992244, + 2.1694115998580346, + 2.109943314823462, + 2.0374819560730217, + 1.9533380657558832, + 1.8590253535681736, + 1.7562197879046944, + 1.646715424740733, + 1.5323781060955342, + 1.4150982041240354, + 1.2967436015814453, + 1.1791140843404646, + 1.063898277288995, + 0.9526341825008176, + 0.846674279953978, + 0.7471560288213444, + 0.6549784646094927, + 0.5707854278153864, + 0.49495578735953366, + 0.4276008412056541, + 0.36856889186003033, + 0.3174568105168665, + 0.27362822510976514, + 0.23623779893095984, + 0.20426091202109645, + 0.17652792108383655, + 0.15176205865472203, + 0.12861994152337292, + 0.10573359422900357, + 0.08175285740824612, + 0.05538704374875443, + 0.02544472643851743, + -0.009129404288605541, + -0.04922160293299378, + -0.09552093200560254, + -0.14849668407570826, + -0.20838197452539986, + -0.27516395585141096, + -0.3485809315922005, + -0.4281264679094411, + -0.5130604180851713, + -0.6024265943466454, + -0.6950766470921593, + -0.7896995481944858, + -0.8848559267631559, + -0.979016376336022, + -1.0706027452559705, + -1.1580313397275153, + -1.239756913873199, + -1.314316294476027, + -1.380370490741219, + -1.4367441713435496, + -1.4824614515152372, + -1.5167770205258468, + -1.5392017524791752, + -1.549522078142081, + -1.547812549203903, + -1.5344411951400607, + -1.5100674525319304, + -1.4756326328074605, + -1.4323430822737826, + -1.381646373319041, + -1.325201043133036, + -1.2648405617792748, + -1.2025323607774103, + -1.1403328827503967, + -1.080339718867209, + -1.024641981052182, + -0.9752701081551817, + -0.9341463280941038, + -0.903036990728586, + -0.8835079489817408, + -0.8768840993179486, + -0.8842140986554597, + -0.9062411553753368, + -0.9433806501471912, + -0.9957051812534818, + -1.0629374528617979, + -1.1444512375544236, + -1.2392804509392545, + -1.3461361810623043, + -1.4634313233941691, + -1.5893122880751573, + -1.7216970743943267, + -1.858318852367115, + -1.9967740565819978, + -2.1345738865313484, + -2.269198023167217, + -2.3981493155259184, + -2.5190081653431404, + -2.629485342297515, + -2.727471997788846, + -2.811085710142264, + -2.8787114872685753, + -2.9290367718505492, + -2.9610796361774465, + -2.974209515363955, + -2.9681600049349637, + -2.9430334373214464, + -2.899297147107046, + -2.8377715321377863, + -2.759610212061069, + -2.6662727727683375, + -2.5594907600406214, + -2.4412277441987777, + -2.3136344159057693, + -2.1789997881195324, + -2.039699667794118, + -1.898143621163225, + -1.7567216869016173, + -1.6177520914663277, + -1.483431190539922, + -1.355786800547384, + -1.2366359962359716, + -1.1275483365209182, + -1.0298153440655238, + -0.9444269077988722, + -0.8720551056687913, + -0.8130457616498654, + -0.7674178609166719, + -0.73487075484921, + -0.7147988979027585, + -0.7063136760143135, + -0.7082717156088959, + -0.7193089075868944, + -0.7378792456899392, + -0.7622974666326647, + -0.790784393048917, + -0.8215138216882213, + -0.8526597697728127, + -0.8824428926227319, + -0.9091749154708696, + -0.9312999809790287, + -0.9474318997726121, + -0.9563864021029829, + -0.9572076216717534, + -0.9491881943122891, + -0.9318825207616376, + -0.9051129199473887, + -0.868968582576507, + -0.8237974197187161, + -0.7701910828663903, + -0.7089636060531087, + -0.6411242826506942, + -0.5678455353759886, + -0.49042666417004394, + -0.4102544598122974, + -0.32876174882851167, + -0.24738498551619678, + -0.16752202850899567, + -0.09049123171837584, + -0.01749294294855607, + 0.05042556107062055, + 0.11240076539291909, + 0.16777841040646407, + 0.21613310137559172, + 0.25728150082909396, + 0.2912887381106492, + 0.31846784737502565, + 0.33937222729996996, + 0.3547812981720657, + 0.3656797101655179, + 0.3732306260401779, + 0.37874375783007275, + 0.38363897639255856, + 0.3894064313822497, + 0.39756421425899546, + 0.40961466588283285, + 0.4270004712911319, + 0.4510616962936099, + 0.48299490318569976, + 0.5238154365335487, + 0.5743238957169698, + 0.6350777105250016, + 0.7063686120354059, + 0.788206646325631, + 0.8803112168322197, + 0.9821094664058264, + 1.0927421266420656, + 1.2110767744731044, + 1.3357282489636289, + 1.4650857994452038, + 1.5973463641046461, + 1.7305532202391956, + 1.8626391075876383, + 1.9914728079840334, + 2.114908071071623, + 2.2308337093659176, + 2.337223648307108, + 2.4321857091238686, + 2.514007924635411, + 2.5812012400933346, + 2.6325375316220803, + 2.6670819818606324, + 2.684218983483115, + 2.6836708932267928, + 2.66550912820658, + 2.6301572785377654, + 2.5783861011854814, + 2.511300454851314, + 2.4303184298294154, + 2.3371431153621116, + 2.2337276254730902, + 2.1222341681719583, + 2.0049880882755327, + 1.8844279372976227, + 1.7630527218786334, + 1.6433675526323712, + 1.5278289563270824, + 1.4187911249579357, + 1.318454355219011, + 1.228816881606516 + ], + [ + 1.1735849638850242, + 1.10653176488535, + 1.0541935883981979, + 1.0175111980233944, + 0.9970737924560595, + 0.9931070658451844, + 1.0054695090277932, + 1.0336570232640916, + 1.0768157208351234, + 1.1337625928417985, + 1.2030135384778222, + 1.2828180764563069, + 1.3711999023592878, + 1.4660023192472622, + 1.5649374562033935, + 1.6656381032990923, + 1.765710933807365, + 1.862789856708396, + 1.9545882452442935, + 2.0389488203537014, + 2.1138900303734327, + 2.17764785883241, + 2.228712108199126, + 2.265856346168621, + 2.2881608590266382, + 2.295028129878593, + 2.2861905437817414, + 2.261710212510251, + 2.221971004105598, + 2.16766305177662, + 2.099760198457372, + 2.0194910029489868, + 1.9283040869163857, + 1.8278287353462697, + 1.7198317731679615, + 1.6061718249453016, + 1.488752120866266, + 1.3694730393844046, + 1.2501855742280419, + 1.1326468812562438, + 1.0184789997076351, + 0.909131754374911, + 0.805850732430947, + 0.709651093932153, + 0.6212978218716073, + 0.5412928499429968, + 0.4698693281568526, + 0.40699310262341926, + 0.3523713008184876, + 0.30546773213826683, + 0.2655246400895027, + 0.2315901814054007, + 0.20255086276227277, + 0.17716804121363533, + 0.15411749306652864, + 0.13203098022204418, + 0.10953869486266582, + 0.0853114439722228, + 0.058101444974927544, + 0.026780642497874676, + -0.009624477111641484, + -0.05190250405697224, + -0.1006319700394313, + -0.15616213625595862, + -0.21860022594128162, + -0.28780545463553, + -0.3633900338824896, + -0.44472714192787355, + -0.5309656728128315, + -0.6210513976701674, + -0.7137540035412687, + -0.8076993199266832, + -0.9014059055148264, + -0.9933250506214185, + -1.0818831578149835, + -1.1655253964030754, + -1.2427594876537253, + -1.312198467869718, + -1.3726012960336798, + -1.4229102212768507, + -1.4622839017435494, + -1.4901253686775797, + -1.5061040552426548, + -1.5101712556113245, + -1.5025685426047173, + -1.483828847602094, + -1.454770090201722, + -1.4164814326230057, + -1.3703024204104048, + -1.317795451961568, + -1.2607121902147407, + -1.2009546861946265, + -1.1405321220841824, + -1.0815141975618625, + -1.0259822743576605, + -0.9759794579844691, + -0.9334608307125626, + -0.9002450551063507, + -0.8779685426034485, + -0.8680433272021598, + -0.8716197015826821, + -0.8895545638721137, + -0.9223862903816061, + -0.9703167961967358, + -1.0332012752042634, + -1.1105459281278953, + -1.201513795881598, + -1.304938620702347, + -1.4193464638614537, + -1.5429846210214075, + -1.6738571991099302, + -1.8097665562810432, + -1.9483596631188758, + -2.0871783222512263, + -2.223712087966799, + -2.3554526596429164, + -2.479948484480938, + -2.5948582971837926, + -2.6980023470196675, + -2.7874101156696582, + -2.861363411090902, + -2.9184338313656633, + -2.9575137255187474, + -2.9778399323424507, + -2.979009749626232, + -2.960988770681061, + -2.924110418187398, + -2.8690672024829063, + -2.796893927647366, + -2.7089432593674116, + -2.6068542489419717, + -2.4925145735445744, + -2.368017399975747, + -2.2356139040636096, + -2.097662577595346, + -1.9565765268012107, + -1.8147700092579007, + -1.6746054686443055, + -1.538342308826639, + -1.4080886007799622, + -1.2857568391129053, + -1.1730247613997564, + -1.0713021157448732, + -0.9817041132025112, + -0.905032135558875, + -0.8417620896772365, + -0.79204061155468, + -0.7556891310893713, + -0.7322156170503322, + -0.7208336355923292, + -0.7204881794378409, + -0.7298875628724453, + -0.7475405339230623, + -0.7717976330045867, + -0.8008957298784226, + -0.8330046002970822, + -0.8662743618688938, + -0.8988825764071152, + -0.9290798435331599, + -0.9552327570471981, + -0.9758631702981116, + -0.9896828175210981, + -0.995622462263424, + -0.9928548884066923, + -0.9808112102380924, + -0.9591901514385993, + -0.9279601243536008, + -0.8873541259080543, + -0.8378576503618703, + -0.780189997146388, + -0.7152795198078731, + -0.6442335154002978, + -0.568303588679341, + -0.4888474387783931, + -0.40728810487114214, + -0.3250717694382626, + -0.24362525162658963, + -0.1643143279984057, + -0.0884039936283271, + -0.017021723662207628, + 0.04887528452989667, + 0.10852801355011496, + 0.1613979249523157, + 0.2071830541020018, + 0.2458274621253525, + 0.2775237796016337, + 0.30270875703203987, + 0.32205191985369697, + 0.3364376062224077, + 0.3469408393789042, + 0.35479764872816183, + 0.36137060066745935, + 0.3681104279486012, + 0.3765147516835917, + 0.38808497029263267, + 0.4042824426690341, + 0.42648511719965526, + 0.45594575335125986, + 0.493752848367129, + 0.5407953190033088, + 0.5977318986742467, + 0.664966096056418, + 0.7426274249238058, + 0.8305594601241286, + 0.9283151049855664, + 1.0351592752830927, + 1.1500790186767929, + 1.271800900908196, + 1.3988153056966275, + 1.5294071188356184, + 1.661692102883977, + 1.7936581212126959, + 1.9232102427436666, + 2.0482186547399888, + 2.1665682331466027, + 2.2762085702571144, + 2.3752032392265714, + 2.4617770847626073, + 2.5343603690652787, + 2.5916286708648575, + 2.6325375316220803, + 2.6563509643192402, + 2.662663083870036, + 2.6514122805425817, + 2.6228875349847955, + 2.5777266611527607, + 2.516906457091529, + 2.4417249383705104, + 2.353776020261461, + 2.254917197774144, + 2.1472309429388163, + 2.032980692056218, + 1.9145624282481486, + 1.7944529732599621, + 1.6751561844022849, + 1.5591483057358912, + 1.4488237457654056, + 1.3464425464162815, + 1.2540807700761152, + 1.1735849638850258 + ], + [ + 1.1253448913261368, + 1.0689856012624193, + 1.027999654262451, + 1.0031074515603853, + 0.9946693020830623, + 1.0026784605480108, + 1.0267624764390382, + 1.066192808146713, + 1.1199024605845032, + 1.1865112146479466, + 1.2643578375875186, + 1.3515384990658013, + 1.4459504723456842, + 1.5453400772199966, + 1.6473537239012523, + 1.7495908474736122, + 1.8496574823144238, + 1.9452192160432462, + 2.0340522832297627, + 2.1140916097166333, + 2.1834746976831734, + 2.240580347483013, + 2.284061342174715, + 2.3128703712850114, + 2.326278637951891, + 2.323886774030411, + 2.305627876541113, + 2.2717626713357295, + 2.2228670013023266, + 2.1598120221229262, + 2.0837376639744365, + 1.996020078336363, + 1.8982339313155099, + 1.7921105251649432, + 1.6794928250607604, + 1.5622885364275425, + 1.4424224175729552, + 1.321789022222276, + 1.2022070465916583, + 1.085376406502558, + 0.9728390930414437, + 0.8659447524223697, + 0.7658218096683126, + 0.6733548097164623, + 0.5891684872906539, + 0.5136189024864904, + 0.4467917968928138, + 0.38850813982250576, + 0.3383366505118605, + 0.2956129045896012, + 0.2594644661707432, + 0.228841334780213, + 0.20255086276227274, + 0.17929618721771698, + 0.15771713360956854, + 0.13643248814327633, + 0.1140825043350245, + 0.08937050659325087, + 0.061102480182421266, + 0.028223591909879876, + -0.010149332143703147, + -0.05470023864143473, + -0.10589192647486476, + -0.16395036346622036, + -0.22885566692893472, + -0.30034000061959176, + -0.37789245992702664, + -0.4607708344624807, + -0.5480199571754828, + -0.6384961762964242, + -0.730897325192028, + -0.8237974197187151, + -0.9156851865829906, + -1.0050054227940257, + -1.090202108181094, + -1.169762142173339, + -1.2422585539422197, + -1.3063920422093473, + -1.3610297374103624, + -1.4052401436316315, + -1.4383233092404561, + -1.4598353911763087, + -1.4696069156054867, + -1.4677541936608385, + -1.4546835214234914, + -1.431087973917368, + -1.3979367891794108, + -1.3564575257862623, + -1.3081113608741346, + -1.2545620710756156, + -1.1976394015044745, + -1.1392976738424099, + -1.0815706100240332, + -1.0265234497836881, + -0.9762035158065749, + -0.9325904274517348, + -0.8975471817165959, + -0.872773307753733, + -0.8597612590352088, + -0.8597571361342217, + -0.8737267347212149, + -0.9023277900933873, + -0.9458891443347092, + -1.0043973985482149, + -1.0774914344860589, + -1.1644650016624287, + -1.2642773722645715, + -1.3755718716174987, + -1.496701901375024, + -1.6257638906811016, + -1.7606364417423659, + -1.8990247847308879, + -2.038509526432713, + -2.176598570797404, + -2.310781010162098, + -2.4385817353970842, + -2.557615492821484, + -2.665639126001255, + -2.7606007812510565, + -2.840684925853569, + -2.904352125999132, + -2.9503726548680413, + -2.9778531471365888, + -2.986255680945628, + -2.975408848022916, + -2.9455105628297464, + -2.8971225576825863, + -2.831156708012918, + -2.748853525478094, + -2.651753341819854, + -2.5416608786893677, + -2.420604053940921, + -2.2907880093834994, + -2.154545455426393, + -2.0142845118097332, + -1.8724352786787464, + -1.7313963973525768, + -1.5934828547026663, + -1.4608762492894523, + -1.3355786722516525, + -1.2193712630617843, + -1.1137783819949634, + -1.0200382004667596, + -0.9390803507859486, + -0.8715111023056032, + -0.8176063457671218, + -0.7773124763957684, + -0.7502550737424052, + -0.73575508711569, + -0.7328520543598668, + -0.7403337131430571, + -0.7567712119489011, + -0.7805589963091455, + -0.8099583376635782, + -0.843143390184117, + -0.8782486068962666, + -0.9134163217175656, + -0.9468433091225689, + -0.9768251678093012, + -1.0017974380195067, + -1.0203724523810487, + -1.0313710349546061, + -1.0338482996295089, + -1.0271129536423502, + -1.0107396808576776, + -0.9845743582758218, + -0.9487320435012134, + -0.9035878559700712, + -0.8497610559425783, + -0.7880927980595066, + -0.719618196313377, + -0.6455334805823192, + -0.567159147840371, + -0.4859001107254492, + -0.40320391984242065, + -0.3205181821828782, + -0.2392483152334472, + -0.16071676432449275, + -0.08612476987987633, + -0.016517702531774918, + 0.04724511067229039, + 0.10451526410020281, + 0.1548741894966021, + 0.19814560020336694, + 0.2344011229137763, + 0.2639589541977829, + 0.28737556129969144, + 0.30543062864840903, + 0.319105628515168, + 0.3295565618065541, + 0.33808156882968665, + 0.34608424609081095, + 0.3550336203083252, + 0.36642182188396744, + 0.3817205647313514, + 0.4023375759207978, + 0.429574126078902, + 0.4645847896261264, + 0.5083405132278443, + 0.5615959924813234, + 0.6248622527664909, + 0.6983852029050198, + 0.7821307829389201, + 0.8757771636040363, + 0.9787142790011074, + 1.0900507899398255, + 1.2086283880403548, + 1.3330431646066163, + 1.4616735881987486, + 1.5927144652504985, + 1.7242161032731256, + 1.8541277600726342, + 1.9803443484383156, + 2.100755276850491, + 2.2132942452008675, + 2.3159887819427416, + 2.407008306396095, + 2.484709527292985, + 2.5476780454836048, + 2.5947651137245735, + 2.625118617630247, + 2.638207476524955, + 2.633838817843266, + 2.61216745013373, + 2.5736973434615034, + 2.519275017597278, + 2.4500749331424485, + 2.367577173905521, + 2.2735378956759846, + 2.169953192450216, + 2.059017191822876, + 1.9430753327080754, + 1.8245738973052594, + 1.7060069623362555, + 1.5898619997389498, + 1.4785653925800188, + 1.37442913703722, + 1.2795999757421623, + 1.196012152158491, + 1.1253448913261375 + ], + [ + 1.0845047967725794, + 1.0393103937494421, + 1.0100058989589125, + 0.9970852684687642, + 1.0006768932512256, + 1.0205416739072861, + 1.056079405951255, + 1.1063433129915203, + 1.1700623721123453, + 1.2456708915044075, + 1.3313446293816589, + 1.4250425896047405, + 1.5245534969235428, + 1.6275458465501196, + 1.7316203414763396, + 1.8343634784942344, + 1.933401021488039, + 2.026450108733277, + 2.1113687793977247, + 2.18620177218651, + 2.249221544386006, + 2.2989635800416384, + 2.33425519864153, + 2.3542372369201936, + 2.358378152241915, + 2.3464802821181894, + 2.3186781861596013, + 2.2754291894321765, + 2.217496435040702, + 2.1459249341604543, + 2.0620112692666583, + 1.9672677568780865, + 1.8633820060765358, + 1.7521729152449974, + 1.6355442293376568, + 1.5154368316657274, + 1.3937809664698897, + 1.2724495810001044, + 1.153213938726629, + 1.0377025896859535, + 0.927364691553103, + 0.8234385582220501, + 0.7269261744659349, + 0.638574259162993, + 0.5588622895758721, + 0.4879977195639531, + 0.42591843992461287, + 0.3723023439527507, + 0.3265836804324928, + 0.2879757041712902, + 0.2554989751670983, + 0.2280145155417127, + 0.20426091202109628, + 0.18289435401788992, + 0.16253052569599166, + 0.14178722653835063, + 0.11932657996184613, + 0.09389570376481028, + 0.0643647592553963, + 0.02976136666956563, + -0.01069952887371976, + -0.05759113658580735, + -0.11125629970030247, + -0.1717954737800816, + -0.23906153181696524, + -0.3126615458726247, + -0.3919655126390545, + -0.4761218086145661, + -0.5640789842102654, + -0.6546133395043876, + -0.7463615717858303, + -0.8378576503618699, + -0.9275729607883632, + -1.0139586716198368, + -1.0954892142698371, + -1.1707057322519412, + -1.238258350864557, + -1.2969461424834385, + -1.345753715493408, + -1.3838834352605718, + -1.410782391460821, + -1.426163354938066, + -1.4300191158841393, + -1.4226297598286637, + -1.4045626146076313, + -1.376664785742765, + -1.340048384909008, + -1.2960687417101873, + -1.2462960681704238, + -1.1924812136769003, + -1.1365163013354886, + -1.0803911709472316, + -1.02614666566938, + -0.9758258860256747, + -0.9314245940364321, + -0.8948419802860402, + -0.8678330068888933, + -0.8519635094499616, + -0.8485691818817415, + -0.858719480703905, + -0.8831873722797516, + -0.9224257100454998, + -0.9765508724550438, + -1.0453341198840866, + -1.1282009443098182, + -1.2242384937046453, + -1.3322109584463024, + -1.4505826144200686, + -1.5775480315979153, + -1.711068782293897, + -1.8489158243117383, + -1.9887165947413796, + -2.128005733671728, + -2.2642782664547068, + -2.3950440106363478, + -2.517881940832504, + -2.630493242512286, + -2.7307518139550413, + -2.81675103391198, + -2.8868456993393043, + -2.9396881508862154, + -2.974257740876397, + -2.9898829559934934, + -2.986255680945628, + -2.963437275810999, + -2.921856334023409, + -2.8622981853190286, + -2.7858864036349917, + -2.6940567691708464, + -2.5885243119995818, + -2.4712442274231896, + -2.3443675967653888, + -2.2101929680131316, + -2.0711149457534828, + -1.9295710069282324, + -1.7879877964601774, + -1.6487281639309612, + -1.5140401790990474, + -1.386009310772244, + -1.2665148717614485, + -1.1571917244072292, + -1.0593981092006408, + -0.9741903066070159, + -0.9023046731333526, + -0.8441474111488203, + -0.7997922424625248, + -0.7689859628611297, + -0.751161663459868, + -0.7454592195269025, + -0.7507524729442014, + -0.7656823749346123, + -0.7886952150020872, + -0.8180849436123377, + -0.8520385028375885, + -0.8886830132262837, + -0.926133628077494, + -0.9625408589219366, + -0.9961361984179218, + -1.0252749184027743, + -1.0484750001160184, + -1.0644512585607453, + -1.0721438508895216, + -1.0707405063197315, + -1.059691978644882, + -1.0387203977668162, + -1.0078203793969776, + -0.9672529375548437, + -0.9175324280603865, + -0.8594069282632751, + -0.7938326243339626, + -0.7219429284031103, + -0.6450131799030775, + -0.5644218953464415, + -0.48160961574022043, + -0.3980364587795906, + -0.3151395124710609, + -0.23429120719924174, + -0.15675977450385317, + -0.08367284373729592, + -0.01598514380409358, + 0.045548831506299146, + 0.10039646671931876, + 0.14826239779330252, + 0.18909720062916416, + 0.22309915519456924, + 0.250709026460167, + 0.2725979859522263, + 0.289648977328923, + 0.30293200142455945, + 0.3136739563032051, + 0.323223811944806, + 0.3330140235769958, + 0.3445191891816902, + 0.35921303273658434, + 0.3785248433261264, + 0.4037965200908762, + 0.43624136351596154, + 0.47690571496211576, + 0.5266344795221353, + 0.5860414738575563, + 0.6554854229214571, + 0.7350522903045497, + 0.8245444697964673, + 0.9234771945326701, + 1.0310823390607848, + 1.1463196033233523, + 1.2678948805740617, + 1.394285428305037, + 1.523771286956326, + 1.6544722298922732, + 1.7843893839363671, + 1.9114505363114322, + 2.0335580442839487, + 2.1486381907194083, + 2.254690784028678, + 2.3498377858311867, + 2.4323697645554674, + 2.5007890178741454, + 2.5538482803215725, + 2.590584032946633, + 2.6103435570160456, + 2.612805020594538, + 2.5979900517365215, + 2.5662684310239845, + 2.518354724915808, + 2.4552968752254665, + 2.378456954272457, + 2.2894844850959446, + 2.190282906915146, + 2.082969933322019, + 1.9698327003768894, + 1.853278730150255, + 1.735783839138917, + 1.6198381978011935, + 1.5078917952869126, + 1.4023005810742124, + 1.30527454219631, + 1.21882893133009, + 1.144739788250071, + 1.0845047967725807 + ], + [ + 1.0514102059046313, + 1.017757208030165, + 1.0003645577997182, + 0.9994955991425567, + 1.0150457390208005, + 1.0465455750547936, + 1.093172263074707, + 1.1537688463592144, + 1.2268710798695024, + 1.310741105774913, + 1.4034071752897916, + 1.5027084702061846, + 1.6063439589366555, + 1.7119241292305587, + 1.8170243752128858, + 1.9192387815424623, + 2.0162330430924125, + 2.105795284668927, + 2.185883601204479, + 2.25466922315861, + 2.310574322408034, + 2.3523036079421225, + 2.3788690148608787, + 2.389606960672171, + 2.384187825480616, + 2.3626175028398215, + 2.325231061112501, + 2.272678746397377, + 2.205904742741506, + 2.1261192789373458, + 2.034764829464573, + 1.9334772962242697, + 1.8240431742576642, + 1.7083537958383344, + 1.588357811005437, + 1.4660130972827816, + 1.3432392962439117, + 1.221872149716982, + 1.1036207544951264, + 0.9900287728693503, + 0.882440529256611, + 0.7819727934111617, + 0.689492901498106, + 0.6056037014678063, + 0.5306356328736435, + 0.46464606797662744, + 0.40742585529750264, + 0.3585128233804181, + 0.3172118260255368, + 0.2826207450547464, + 0.2536617169268646, + 0.22911671895479774, + 0.20766654274820773, + 0.18793209949483572, + 0.16851694585066218, + 0.14804989189739803, + 0.1252265544903566, + 0.09884875027115406, + 0.06786068183669713, + 0.031380956506613815, + -0.011270412388388463, + -0.06055073958533446, + -0.1166797046908501, + -0.17963109401433416, + -0.2491314743702127, + -0.3246658445462251, + -0.40549012762449876, + -0.4906501881964082, + -0.5790068872816725, + -0.6692665288002172, + -0.7600159087988407, + -0.8497610559425779, + -0.9369686521818877, + -1.020109048562393, + -1.0976997447712593, + -1.1683481834398368, + -1.2307927219488863, + -1.283940685277992, + -1.326902472340715, + -1.359020783580511, + -1.3798941570314711, + -1.3893941406261967, + -1.3876755867779436, + -1.3751797272440598, + -1.3526298677087736, + -1.321019727877022, + -1.2815946394854423, + -1.2358259968343082, + -1.1853795276472854, + -1.132078111910931, + -1.0778600187937308, + -1.024733553179088, + -0.9747292006690844, + -0.9298504306181237, + -0.8920243589881061, + -0.8630534854317787, + -0.8445697015943182, + -0.8379917205052275, + -0.844487001180239, + -0.8649391399456946, + -0.8999215729835595, + -0.9496782862312421, + -1.0141120626481184, + -1.0927806170177716, + -1.1849007792761175, + -1.289360693464048, + -1.4047398055473947, + -1.5293362242831896, + -1.6612008596851509, + -1.7981775778758358, + -1.9379484632946349, + -2.078083153013813, + -2.2160911064251723, + -2.349475599322359, + -2.4757881862760844, + -2.5926823603274394, + -2.6979651548133923, + -2.789645478241236, + -2.8659780484566393, + -2.925501895095182, + -2.967072526991873, + -2.9898870107549746, + -2.9935013744629817, + -2.9778399323424507, + -2.9431963179085905, + -2.890226209741413, + -2.819931931045128, + -2.73363929660921, + -2.6329672640798027, + -2.519791116110337, + -2.3962000518770545, + -2.264450196943073, + -2.1269141463843186, + -1.9860282349094471, + -1.844238777535449, + -1.7039485440580036, + -1.5674647196556037, + -1.436949562817276, + -1.3143749014525459, + -1.2014815103132315, + -1.0997442901828196, + -1.0103440247319895, + -0.9341463280941043, + -0.8716882191188482, + -0.823172571297924, + -0.7884704951383764, + -0.7671315170230589, + -0.7584012300825135, + -0.7612459129325999, + -0.7743834457040777, + -0.7963197036633473, + -0.8253894805203972, + -0.8598008893377653, + -0.8976821112877491, + -0.9371293131870666, + -0.9762545348933523, + -1.0132323576681515, + -1.0463442041444486, + -1.0740191884997963, + -1.0948705300395536, + -1.1077266621910282, + -1.1116563088531208, + -1.1059869575715786, + -1.0903163301205898, + -1.0645166314390377, + -1.0287315429444368, + -0.9833661113699935, + -0.9290698647891253, + -0.8667136588793202, + -0.7973609144421733, + -0.7222340477916406, + -0.6426770153417579, + -0.5601149895922718, + -0.47601225335175373, + -0.39182944074154646, + -0.30898126628244843, + -0.2287958669010596, + -0.15247683646092874, + -0.0810689596052613, + -0.015428553166985362, + 0.0438007983212423, + 0.09620646829708214, + 0.14161848859209683, + 0.18011440893423872, + 0.21201717872883716, + 0.23788609677310688, + 0.258501055964013, + 0.2748404858066803, + 0.28805356115441816, + 0.29942739689837633, + 0.3103500814199775, + 0.322270513122827, + 0.33665609141386205, + 0.35494937385964376, + 0.37852484332612624, + 0.4086469318514105, + 0.4464304216651567, + 0.4928042887556031, + 0.5484799720170338, + 0.6139249432978581, + 0.6893423232624913, + 0.7746571381035613, + 0.8695096465132209, + 0.9732559890638632, + 1.0849762276796766, + 1.2034896558105068, + 1.3273770749326712, + 1.4550095547401285, + 1.5845830273383426, + 1.7141579141263663, + 1.8417028516905705, + 1.965141473303257, + 2.082401118334227, + 2.1914622852281327, + 2.2904076161794023, + 2.3774692040327055, + 2.4510730442924697, + 2.50987951673972, + 2.5528188706003894, + 2.5791208023663783, + 2.588337353478066, + 2.580358512799904, + 2.5554200823328173, + 2.514103549684556, + 2.4573279029434247, + 2.386333518072231, + 2.302658440990301, + 2.208107571426471, + 2.104715428857173, + 1.9947033381221515, + 1.8804320097549314, + 1.764350604273822, + 1.6489434578191684, + 1.536675706394554, + 1.4299390760677977, + 1.3309991060340494, + 1.2419450404078405, + 1.1646435637150017, + 1.1006974657505297, + 1.0514102059046322 + ], + [ + 1.026341113936508, + 1.0045083938086998, + 0.9991572008938314, + 1.0103180510935739, + 1.037654272454599, + 1.0804701592199257, + 1.1377272254534199, + 1.208068166777205, + 1.289847956482116, + 1.3811713340021263, + 1.47993579356486, + 1.5838790523760338, + 1.690629874065786, + 1.7977610468082286, + 1.9028432683397136, + 2.0034986731479942, + 2.0974527507428555, + 2.1825834477576804, + 2.2569663195392, + 2.318914697015836, + 2.3670139594847415, + 2.400149150411789, + 2.4175253377595634, + 2.41868029867302, + 2.403489296153386, + 2.372161908005828, + 2.3252310611125013, + 2.2635346122239963, + 2.18818999536689, + 2.1005626212589497, + 2.002228861778061, + 1.8949345789624015, + 1.7805502601771084, + 1.6610238965235118, + 1.53833278851529, + 1.4144354804360804, + 1.2912250122955, + 1.1704846363281123, + 1.0538470746769213, + 0.9427582981156646, + 0.8384466848934113, + 0.7418982771234778, + 0.6538386931928831, + 0.5747220824683505, + 0.5047273274723765, + 0.44376151326368474, + 0.3914704986454185, + 0.3472562436893794, + 0.31030037742008776, + 0.2795933326172421, + 0.253968235486123, + 0.2321386198798404, + 0.21273894176659017, + 0.19436680204221354, + 0.17562574625018554, + 0.15516749923759254, + 0.13173251146627574, + 0.10418774109755935, + 0.07156067083936299, + 0.03306865895813023, + -0.011857152754847415, + -0.06355400805940445, + -0.12211625698616883, + -0.18739093127613773, + -0.2589802983179757, + -0.33625133484160724, + -0.4183518805206246, + -0.5042330565425778, + -0.5926773695747669, + -0.6823317715718266, + -0.7717448143612712, + -0.8594069282632741, + -0.9437927689627762, + -1.0234045186496827, + -1.0968149975970418, + -1.16270944166678, + -1.21992482979407, + -1.2674857026460025, + -1.3046354979996397, + -1.3308625378751415, + -1.345919934392764, + -1.3498388324320387, + -1.3429345737038036, + -1.3258055446540766, + -1.2993246552655182, + -1.264623582689359, + -1.2230700980456186, + -1.1762389720404274, + -1.1258771208025937, + -1.0738638033513632, + -1.0221668125717756, + -0.972795709169657, + -0.9277532300437169, + -0.8889860567179141, + -0.8583361544789148, + -0.8374938879398744, + -0.8279540839224281, + -0.8309761485763097, + -0.8475492540266434, + -0.8783634927279773, + -0.9237877579223713, + -0.9838549495241503, + -1.0582549302482664, + -1.1463354711137346, + -1.2471112331241743, + -1.3592806376625404, + -1.4812502867016955, + -1.6111664100310046, + -1.7469526448577761, + -1.8863532975991146, + -2.0269811022775315, + -2.1663683780263736, + -2.302020402580466, + -2.431469761412067, + -2.5523304048182407, + -2.6623501484853875, + -2.7594603868153484, + -2.84182185181029, + -2.9078653420665104, + -2.95632646421298, + -2.9862735701026804, + -2.9971282338082763, + -2.9886777890874487, + -2.961079636177448, + -2.914857221978684, + -2.850887795147979, + -2.7703822325429908, + -2.6748574211030967, + -2.5661018550613504, + -2.4461352680914676, + -2.31716325973396, + -2.1815279918395065, + -2.0416561210121364, + -1.9000051949702028, + -1.75900977290532, + -1.6210285315757431, + -1.4882935900372014, + -1.3628632273549977, + -1.2465790808481427, + -1.1410287995727846, + -1.0475149916773545, + -0.9670311483408395, + -0.9002450551063509, + -0.8474900177975013, + -0.8087640393892763, + -0.7837368909001884, + -0.7717648283324917, + -0.7719125236007726, + -0.7829816047630093, + -0.8035450439168105, + -0.8319864936646669, + -0.8665435584132016, + -0.9053538977079097, + -0.946502997432603, + -0.9880724124465962, + -1.0281872817922104, + -1.0650619449386525, + -1.097042543854321, + -1.1226455795183126, + -1.1405915006127423, + -1.1498325337748425, + -1.1495741155714405, + -1.139289452458259, + -1.1187269121983114, + -1.0879101340645465, + -1.0471309310121788, + -0.9969352402048927, + -0.938102554220813, + -0.8716194295433687, + -0.7986478174532536, + -0.7204890914772081, + -0.6385447519076756, + -0.5542748689494396, + -0.4691553797786912, + -0.38463537990959784, + -0.30209554516643466, + -0.22280878740449334, + -0.14790418578961423, + -0.07833514752180054, + -0.014852639629100337, + 0.04201580026885948, + 0.09198071811614099, + 0.13499867237123037, + 0.1712732236010893, + 0.20124895205213164, + 0.22559865292419687, + 0.2452040377416855, + 0.2611304406208781, + 0.27459618604200065, + 0.2869374159312745, + 0.2995692948408708, + 0.31394460968824045, + 0.33151085237004874, + 0.3536669177365721, + 0.3817205647313511, + 0.41684777452407035, + 0.46005509648394405, + 0.512146001878109, + 0.5736921679608342, + 0.6450104940333502, + 0.7261465090922866, + 0.8168646713682768, + 0.9166458873471824, + 1.0246923960707204, + 1.1399399781728041, + 1.2610772628875044, + 1.3865717248359095, + 1.5147017903242694, + 1.6435943145035392, + 1.771266550056077, + 1.8956716086638945, + 2.0147463214257324, + 2.126460336080943, + 2.228865249158998, + 2.320142561090995, + 2.398649262245953, + 2.4629599073971966, + 2.5119041141558087, + 2.5445985255921095, + 2.560472406101688, + 2.559286189456162, + 2.5411424652792065, + 2.506489070836439, + 2.4561141446164543, + 2.391133192073193, + 2.312968407345364, + 2.2233206830175645, + 2.1241349184102187, + 2.017559401086162, + 1.905900182187094, + 1.7915714902539372, + 1.6770433272641267, + 1.5647874622676992, + 1.4572230804250932, + 1.356663357360206, + 1.2652642102026543, + 1.1849764279138688, + 1.1175023056260793, + 1.0642578026375917, + 1.0263411139365082 + ], + [ + 1.0095096167301518, + 0.9996760420485171, + 1.0063940430270113, + 1.0294610614810964, + 1.0683112151292948, + 1.1220284090695978, + 1.189367337944322, + 1.2687818774240367, + 1.3584601890766845, + 1.4563657045852083, + 1.560283017466667, + 1.6678675962590237, + 1.776698145329134, + 1.8843303801187792, + 1.988350954187483, + 2.0864302764998217, + 2.176372988960312, + 2.256164935392769, + 2.3240155424394833, + 2.37839464797795, + 2.4180629507472364, + 2.4420954125109935, + 2.449897117353678, + 2.4412112773274193, + 2.4161192650843186, + 2.375032747629613, + 2.3186781861596013, + 2.248074150424908, + 2.1645020676956594, + 2.069471182013744, + 1.9646786352164414, + 1.8519656939212936, + 1.7332712335687526, + 1.6105836496657515, + 1.4858923961940596, + 1.3611403511032811, + 1.2381781790035862, + 1.1187218024498804, + 1.0043140071261223, + 0.8962910950314436, + 0.7957553662942534, + 0.703554057900713, + 0.6202652002862374, + 0.5461906746354533, + 0.4813565693594049, + 0.42552074820836533, + 0.37818735950551824, + 0.3386278406374811, + 0.30590780859881317, + 0.27891908013791816, + 0.2564159375591613, + 0.23705465166758946, + 0.2194351942852614, + 0.20214402116473645, + 0.1837967832264129, + 0.1630798303800821, + 0.13878940754960814, + 0.10986750596571457, + 0.07543342268216716, + 0.034810195297681173, + -0.012454785884093402, + -0.06657553299773218, + -0.12751996089377293, + -0.19500933383089097, + -0.2685246781530136, + -0.3473199982683781, + -0.43044195507792266, + -0.5167554964405482, + -0.6049747726233851, + -0.6936985299532792, + -0.7814490566246731, + -0.8667136588793195, + -0.9479875760151143, + -1.0238172007135509, + -1.0928424581086316, + -1.15383721323973, + -1.205746621685515, + -1.2477204111864995, + -1.279141181149026, + -1.2996469296448816, + -1.3091471608417302, + -1.307832086161896, + -1.296174605877861, + -1.2749249399854985, + -1.2450979634960129, + -1.207953487087604, + -1.1649699046927755, + -1.1178118005217308, + -1.068292264923401, + -1.0183308073908788, + -0.9699078723957231, + -0.9250170565813947, + -0.8856161917616372, + -0.8535784954195816, + -0.8306449979630885, + -0.8183794335709568, + -0.818126729517378, + -0.8309761485763094, + -0.8577300323761892, + -0.898878962951626, + -0.9545840083720356, + -1.0246665498876546, + -1.1086060066207208, + -1.2055455838724753, + -1.3143059772638823, + -1.4334067719330754, + -1.5610950886172517, + -1.6953808512635151, + -1.8340778882101054, + -1.9748499349749173, + -2.115260484846904, + -2.2528253368259463, + -2.3850666214086953, + -2.5095670450097707, + -2.6240230844582086, + -2.7262958842934992, + -2.8144586610285147, + -2.886839498931731, + -2.942058529283442, + -2.9790586168896867, + -2.997128830705349, + -2.9959201460125806, + -2.975453009581868, + -2.936116592140295, + -2.878659749596433, + -2.804173911031399, + -2.714068302683439, + -2.610038098382536, + -2.494026253732721, + -2.368179929746865, + -2.2348025380199834, + -2.0963025408325913, + -1.955140213370921, + -1.8137736197795054, + -1.6746050689835716, + -1.53992929984072, + -1.4118845986576711, + -1.2924079766346726, + -1.1831954322793061, + -1.0856681968281285, + -1.0009457123902177, + -0.9298259265607556, + -0.8727733077537333, + -0.8299147969023013, + -0.8010437181227591, + -0.7856314781817957, + -0.7828466968791538, + -0.7915812323575506, + -0.810482401229735, + -0.8379905472657457, + -0.8723809877557578, + -0.9118092665590949, + -0.9543585696589938, + -0.9980881144836675, + -1.041081309333128, + -1.0814924942354676, + -1.1175911189719752, + -1.1478022866523332, + -1.1707426901866134, + -1.1852510917355659, + -1.1904126385854694, + -1.1855764692416448, + -1.1703662368034802, + -1.1446833584977347, + -1.10870298602545, + -1.0628628764513322, + -1.0078455230894998, + -0.9445540757155185, + -0.8740827352157163, + -0.7976824455853995, + -0.7167228225798343, + -0.6326513504193534, + -0.5469509434812677, + -0.46109700727422986, + -0.3765151412937325, + -0.2945406054394853, + -0.21638062211126818, + -0.14308050918373594, + -0.07549453677420379, + -0.014262275679572865, + 0.04020893924039467, + 0.08775496793519984, + 0.12845895577143268, + 0.16264844505831627, + 0.19088557923481325, + 0.2139506522485305, + 0.23281943007637398, + 0.24863483495765434, + 0.26267373157028956, + 0.27630968429266195, + 0.2909726625403067, + 0.3081067541838052, + 0.3291270031008081, + 0.3553765145264888, + 0.38808497029263217, + 0.4283296652689214, + 0.47700011705812095, + 0.5347672146843917, + 0.6020577607672097, + 0.6790351282384379, + 0.7655866003446387, + 0.8613177952681502, + 0.9655543983715041, + 1.0773512402747245, + 1.1955085723396144, + 1.3185952073397968, + 1.444978016759724, + 1.5728571117333736, + 1.7003058862595866, + 1.8253149727794873, + 1.9458390547512046, + 2.0598454012172915, + 2.1653629366049456, + 2.260530636512123, + 2.3436440476742875, + 2.4131987675943605, + 2.467929785628914, + 2.5068456811121296, + 2.5292567931352528, + 2.534796618023459, + 2.5234358509437533, + 2.495488663539936, + 2.451610995746181, + 2.392790832427061, + 2.320330629512523, + 2.2358222450797056, + 2.1411149136874434, + 2.038276972689744, + 1.929552203035608, + 1.8173117803999432, + 1.7040029420787297, + 1.5920955581916647, + 1.4840278502878967, + 1.382152525061236, + 1.2886845849020274, + 1.2056520405441256, + 1.1348506849546849, + 1.077803993438418, + 1.0357290949503282, + 1.0095096167301523 + ], + [ + 1.0010581163682697, + 1.0033010366321724, + 1.0220138572401019, + 1.056762671774933, + 1.1067571954374327, + 1.1708687230047563, + 1.2476557018283188, + 1.3353963128343658, + 1.4321272871180637, + 1.5356880391231789, + 1.6437690731234633, + 1.7539635207686546, + 1.8638205962054688, + 1.9708997134293262, + 2.072823999041246, + 2.1673319527065975, + 2.2523260568176413, + 2.325917214892793, + 2.3864640031394675, + 2.432605848744824, + 2.463289398629502, + 2.4777875098814723, + 2.4757104737394564, + 2.4570092743605665, + 2.4219708770211317, + 2.3712057331088885, + 2.3056278765411133, + 2.2264281635028715, + 2.1350413703148208, + 2.0331080088467814, + 1.9224318416880992, + 1.8049341773120395, + 1.6826060963917138, + 1.55745980257795, + 1.431480303490336, + 1.3065786101948649, + 1.1845475965817907, + 1.0670215850798452, + 0.955440624008178, + 0.8510202971814335, + 0.7547277613325344, + 0.6672645451884551, + 0.5890564697203432, + 0.5202508665899902, + 0.46072108572375664, + 0.4100780979370776, + 0.3676888192456145, + 0.33270061441893917, + 0.3040712826816019, + 0.2806036920978525, + 0.26098411447884323, + 0.2438232224645902, + 0.22769864697782458, + 0.21119795806939612, + 0.19296092610908902, + 0.17171994342303057, + 0.14633753820620696, + 0.11583999149471128, + 0.07944617213207932, + 0.0365908313397796, + -0.013058255529420835, + -0.0695897509320838, + -0.1328450986333993, + -0.20242184654561426, + -0.27768386410303936, + -0.3577781889253198, + -0.44165806379481515, + -0.5281115623823138, + -0.6157950548330974, + -0.7032706360251498, + -0.7890465333082787, + -0.8716194295433679, + -0.9495175833730671, + -1.0213436032769965, + -1.0858157357876947, + -1.1418065612259096, + -1.1883780516795324, + -1.2248120342091293, + -1.250635215245744, + -1.2656380570605832, + -1.269886950682487, + -1.2637292978974828, + -1.2477912937870566, + -1.2229683861775573, + -1.1904085747504944, + -1.1514888957240674, + -1.1077856133533146, + -1.061038802587872, + -1.0131121539478902, + -0.9659489583042795, + -0.9215253325469033, + -0.881801824435292, + -0.848674584233939, + -0.8239273107138144, + -0.8091851691551474, + -0.8058718392583784, + -0.8151707822443648, + -0.8379917205052267, + -0.8749432022371832, + -0.9263119804551923, + -0.9920497741182818, + -1.0717678027152133, + -1.164739298875241, + -1.2699100109471735, + -1.3859165137538507, + -1.5111119556372545, + -1.6435986881396731, + -1.7812670557004122, + -1.921839470758756, + -2.0629187684058454, + -2.2020397274793395, + -2.3367225644188525, + -2.464527154319718, + -2.58310671175681, + -2.6902596726849164, + -2.783978557891061, + -2.862494667166036, + -2.9243175499401945, + -2.9682683202709783, + -2.993506028827239, + -2.9995464683831177, + -2.986272968337305, + -2.953938923565139, + -2.9031619988794564, + -2.8349101477577343, + -2.7504797779895793, + -2.6514665827954293, + -2.539729729248822, + -2.417350252295746, + -2.2865846385141175, + -2.14981469570949, + -2.0094948898028018, + -1.8680983871882242, + -1.7280630674837005, + -1.591738767758958, + -1.4613369850512459, + -1.338884200159546, + -1.2261798939587591, + -1.1247602100943566, + -1.0358680778294507, + -0.960430449497017, + -0.8990431324035579, + -0.8519635094499619, + -0.8191112507549002, + -0.8000769249097728, + -0.7941382279174855, + -0.8002833650405359, + -0.8172409501765733, + -0.8435156331504128, + -0.877428531205784, + -0.9171614302378862, + -0.9608036365841962, + -1.0064003034914368, + -1.0520010290081507, + -1.095707524592194, + -1.1357191860049707, + -1.1703754591860753, + -1.1981939821453682, + -1.2179035971842542, + -1.2284714630584221, + -1.229123650573498, + -1.2193587736604288, + -1.1989543869492763, + -1.1679660657377404, + -1.126719270385286, + -1.0757942798846956, + -1.016004654093649, + -0.9483698464820501, + -0.8740827352157162, + -0.7944729663214489, + -0.7109671054386474, + -0.6250466717201774, + -0.5382051769113311, + -0.4519053133162153, + -0.36753742578709064, + -0.2863803653103396, + -0.2095657562085428, + -0.13804661713011965, + -0.0725711602147867, + -0.013662456064558676, + 0.038395502097762615, + 0.08356496951296322, + 0.12205466775439355, + 0.15431304283514838, + 0.18101473910039947, + 0.20304064210260442, + 0.22145201235302592, + 0.237459387295246, + 0.25238706709908776, + 0.2676341174013049, + 0.28463291591756845, + 0.3048063375087503, + 0.32952471204966216, + 0.36006370026694945, + 0.3975642142589947, + 0.44299546209464746, + 0.49712212084592067, + 0.5604765414778948, + 0.6333367646854321, + 0.7157109821114237, + 0.8073289160007078, + 0.9076404162597206, + 1.0158213914515666, + 1.1307870040255101, + 1.251211874728381, + 1.3755568613301332, + 1.5021018070452732, + 1.6289834986327365, + 1.7542379370471497, + 1.875845908183167, + 1.9917807506575733, + 2.1000571540553326, + 2.1987797863021625, + 2.286190543781739, + 2.360713242718242, + 2.4209946246789533, + 2.465940631568887, + 2.4947470142412005, + 2.5069234712286157, + 2.5023106669172583, + 2.4810896480271283, + 2.4437833594033864, + 2.3912501504099204, + 2.324669356991624, + 2.2455192369792023, + 2.155547722717059, + 2.0567366310070048, + 1.9512601313370335, + 1.8414384154247299, + 1.7296876307265279, + 1.6184672347720908, + 1.5102259936220932, + 1.4073478847412522, + 1.312099171171175, + 1.2265778898690247, + 1.1526669429886072, + 1.0919918979978813, + 1.0458844928368165, + 1.0153527084651603, + 1.0010581163682697 + ], + [ + 1.0010581163682695, + 1.015352708465159, + 1.0458844928368154, + 1.0919918979978804, + 1.152666942988604, + 1.2265778898690192, + 1.3120991711711711, + 1.4073478847412493, + 1.5102259936220868, + 1.6184672347720874, + 1.7296876307265279, + 1.8414384154247248, + 1.9512601313370248, + 2.056736631007, + 2.155547722717058, + 2.2455192369791983, + 2.3246693569916212, + 2.3912501504099204, + 2.4437833594033846, + 2.481089648027125, + 2.502310666917256, + 2.506923471228616, + 2.4947470142412, + 2.4659406315688877, + 2.4209946246789547, + 2.360713242718243, + 2.2861905437817414, + 2.198779786302168, + 2.1000571540553343, + 1.9917807506575762, + 1.8758459081831742, + 1.7542379370471541, + 1.6289834986327385, + 1.502101807045277, + 1.3755568613301414, + 1.251211874728382, + 1.1307870040255126, + 1.0158213914515728, + 0.9076404162597242, + 0.8073289160007091, + 0.7157109821114275, + 0.633336764685436, + 0.5604765414778947, + 0.4971221208459229, + 0.44299546209464913, + 0.39756421425899563, + 0.3600637002669496, + 0.32952471204966294, + 0.3048063375087506, + 0.2846329159175687, + 0.2676341174013054, + 0.25238706709908776, + 0.23745938729524566, + 0.22145201235302595, + 0.20304064210260442, + 0.18101473910039886, + 0.1543130428351493, + 0.12205466775439457, + 0.0835649695129634, + 0.03839550209776262, + -0.013662456064557205, + -0.07257116021478549, + -0.1380466171301193, + -0.20956575620854073, + -0.2863803653103383, + -0.36753742578708937, + -0.4519053133162119, + -0.5382051769113291, + -0.6250466717201761, + -0.7109671054386443, + -0.7944729663214469, + -0.8740827352157157, + -0.9483698464820502, + -1.0160046540936476, + -1.075794279884695, + -1.1267192703852862, + -1.16796606573774, + -1.1989543869492765, + -1.219358773660428, + -1.2291236505735001, + -1.2284714630584233, + -1.2179035971842562, + -1.19819398214537, + -1.1703754591860773, + -1.1357191860049716, + -1.0957075245921948, + -1.0520010290081554, + -1.0064003034914377, + -0.9608036365841983, + -0.917161430237887, + -0.8774285312057863, + -0.8435156331504143, + -0.8172409501765752, + -0.8002833650405375, + -0.7941382279174858, + -0.8000769249097727, + -0.8191112507548994, + -0.8519635094499606, + -0.8990431324035557, + -0.9604304494970142, + -1.0358680778294496, + -1.124760210094353, + -1.2261798939587574, + -1.3388842001595413, + -1.4613369850512379, + -1.591738767758956, + -1.728063067483695, + -1.868098387188222, + -2.009494889802797, + -2.149814695709485, + -2.286584638514112, + -2.417350252295741, + -2.5397297292488177, + -2.651466582795425, + -2.7504797779895775, + -2.8349101477577316, + -2.903161998879456, + -2.953938923565137, + -2.9862729683373046, + -2.9995464683831177, + -2.9935060288272397, + -2.9682683202709796, + -2.924317549940197, + -2.862494667166037, + -2.7839785578910647, + -2.690259672684918, + -2.5831067117568143, + -2.464527154319726, + -2.3367225644188574, + -2.202039727479345, + -2.062918768405851, + -1.9218394707587612, + -1.7812670557004144, + -1.6435986881396785, + -1.5111119556372565, + -1.3859165137538558, + -1.2699100109471777, + -1.1647392988752447, + -1.0717678027152187, + -0.9920497741182829, + -0.9263119804551947, + -0.8749432022371848, + -0.8379917205052277, + -0.8151707822443651, + -0.8058718392583777, + -0.8091851691551459, + -0.8239273107138132, + -0.8486745842339373, + -0.8818018244352903, + -0.9215253325469007, + -0.9659489583042787, + -1.0131121539478878, + -1.0610388025878712, + -1.1077856133533122, + -1.1514888957240665, + -1.1904085747504913, + -1.2229683861775555, + -1.2477912937870532, + -1.263729297897481, + -1.2698869506824861, + -1.265638057060583, + -1.250635215245744, + -1.2248120342091284, + -1.188378051679533, + -1.141806561225909, + -1.0858157357876956, + -1.0213436032769982, + -0.9495175833730671, + -0.8716194295433687, + -0.7890465333082809, + -0.7032706360251533, + -0.6157950548330987, + -0.5281115623823158, + -0.4416580637948182, + -0.35777818892532104, + -0.2776838641030411, + -0.2024218465456163, + -0.1328450986333995, + -0.06958975093208497, + -0.013058255529422264, + 0.03659083133977966, + 0.07944617213207915, + 0.11583999149471055, + 0.14633753820620612, + 0.17171994342303046, + 0.19296092610908896, + 0.21119795806939604, + 0.22769864697782488, + 0.2438232224645905, + 0.26098411447884295, + 0.28060369209785235, + 0.30407128268160144, + 0.3327006144189383, + 0.3676888192456143, + 0.4100780979370765, + 0.46072108572375403, + 0.5202508665899878, + 0.5890564697203422, + 0.6672645451884525, + 0.7547277613325291, + 0.8510202971814305, + 0.9554406240081742, + 1.0670215850798388, + 1.1845475965817873, + 1.3065786101948629, + 1.4314803034903312, + 1.5574598025779485, + 1.6826060963917095, + 1.8049341773120349, + 1.9224318416880921, + 2.0331080088467783, + 2.135041370314819, + 2.226428163502869, + 2.305627876541113, + 2.3712057331088867, + 2.4219708770211303, + 2.457009274360567, + 2.4757104737394577, + 2.477787509881473, + 2.463289398629505, + 2.4326058487448243, + 2.3864640031394706, + 2.3259172148927947, + 2.2523260568176453, + 2.167331952706605, + 2.0728239990412494, + 1.9708997134293331, + 1.8638205962054724, + 1.7539635207686595, + 1.643769073123465, + 1.5356880391231835, + 1.4321272871180708, + 1.3353963128343695, + 1.2476557018283236, + 1.1708687230047583, + 1.1067571954374327, + 1.0567626717749343, + 1.022013857240103, + 1.003301036632173, + 1.0010581163682692 + ], + [ + 1.0095096167301518, + 1.035729094950326, + 1.0778039934384167, + 1.134850684954684, + 1.2056520405441264, + 1.2886845849020259, + 1.3821525250612319, + 1.4840278502878936, + 1.5920955581916583, + 1.7040029420787262, + 1.817311780399943, + 1.9295522030356032, + 2.0382769726897427, + 2.141114913687439, + 2.2358222450797043, + 2.320330629512519, + 2.3927908324270586, + 2.451610995746181, + 2.4954886635399345, + 2.5234358509437533, + 2.534796618023458, + 2.5292567931352528, + 2.50684568111213, + 2.4679297856289146, + 2.4131987675943622, + 2.343644047674289, + 2.2605306365121236, + 2.1653629366049483, + 2.0598454012172938, + 1.9458390547512077, + 1.8253149727794946, + 1.700305886259591, + 1.5728571117333756, + 1.4449780167597233, + 1.3185952073398002, + 1.1955085723396155, + 1.0773512402747267, + 0.9655543983715102, + 0.8613177952681537, + 0.7655866003446399, + 0.6790351282384413, + 0.6020577607672108, + 0.5347672146843917, + 0.47700011705812295, + 0.42832966526892297, + 0.3880849702926329, + 0.3553765145264888, + 0.3291270031008087, + 0.3081067541838055, + 0.290972662540307, + 0.2763096842926624, + 0.26267373157028945, + 0.24863483495765393, + 0.23281943007637398, + 0.2139506522485305, + 0.1908855792348134, + 0.16264844505831721, + 0.12845895577143374, + 0.08775496793520005, + 0.040208939240394675, + -0.01426227567957133, + -0.07549453677420254, + -0.143080509183736, + -0.21638062211126605, + -0.2945406054394839, + -0.37651514129373126, + -0.46109700727422726, + -0.5469509434812658, + -0.6326513504193523, + -0.7167228225798313, + -0.7976824455853977, + -0.8740827352157156, + -0.9445540757155187, + -1.0078455230894983, + -1.062862876451332, + -1.1087029860254503, + -1.1446833584977345, + -1.1703662368034804, + -1.1855764692416442, + -1.1904126385854703, + -1.1852510917355652, + -1.1707426901866154, + -1.147802286652335, + -1.1175911189719772, + -1.0814924942354684, + -1.0410813093331266, + -0.9980881144836697, + -0.9543585696589928, + -0.911809266559097, + -0.8723809877557569, + -0.8379905472657478, + -0.8104824012297354, + -0.7915812323575518, + -0.7828466968791543, + -0.7856314781817956, + -0.801043718122759, + -0.8299147969023001, + -0.8727733077537315, + -0.9298259265607545, + -1.0009457123902146, + -1.0856681968281294, + -1.183195432279302, + -1.2924079766346708, + -1.4118845986576662, + -1.5399292998407146, + -1.6746050689835728, + -1.8137736197794996, + -1.9551402133709217, + -2.096302540832586, + -2.234802538019981, + -2.36817992974686, + -2.494026253732719, + -2.6100380983825318, + -2.7140683026834354, + -2.8041739110313992, + -2.8786597495964306, + -2.936116592140296, + -2.9754530095818668, + -2.9959201460125806, + -2.997128830705349, + -2.979058616889688, + -2.9420585292834422, + -2.8868394989317343, + -2.814458661028514, + -2.726295884293503, + -2.6240230844582078, + -2.5095670450097756, + -2.3850666214087, + -2.252825336825948, + -2.115260484846909, + -1.9748499349749196, + -1.834077888210111, + -1.6953808512635142, + -1.561095088617257, + -1.433406771933074, + -1.3143059772638865, + -1.2055455838724791, + -1.1086060066207222, + -1.0246665498876575, + -0.9545840083720352, + -0.898878962951628, + -0.8577300323761899, + -0.83097614857631, + -0.818126729517378, + -0.8183794335709565, + -0.8306449979630877, + -0.8535784954195801, + -0.8856161917616349, + -0.9250170565813943, + -0.9699078723957201, + -1.0183308073908799, + -1.0682922649233986, + -1.1178118005217321, + -1.1649699046927728, + -1.2079534870876054, + -1.2450979634960124, + -1.274924939985497, + -1.2961746058778596, + -1.3078320861618942, + -1.309147160841731, + -1.2996469296448812, + -1.279141181149027, + -1.2477204111864995, + -1.205746621685516, + -1.1538372132397299, + -1.0928424581086325, + -1.0238172007135529, + -0.9479875760151144, + -0.8667136588793201, + -0.7814490566246755, + -0.6936985299532824, + -0.6049747726233864, + -0.5167554964405501, + -0.4304419550779252, + -0.3473199982683794, + -0.2685246781530149, + -0.19500933383089297, + -0.12751996089377288, + -0.06657553299773332, + -0.012454785884094745, + 0.03481019529768117, + 0.07543342268216699, + 0.10986750596571367, + 0.13878940754960734, + 0.16307983038008197, + 0.18379678322641285, + 0.20214402116473626, + 0.2194351942852616, + 0.23705465166758938, + 0.2564159375591608, + 0.27891908013791794, + 0.3059078085988128, + 0.33862784063748, + 0.378187359505518, + 0.4255207482083641, + 0.48135656935940274, + 0.5461906746354506, + 0.6202652002862377, + 0.7035540579007116, + 0.7957553662942495, + 0.8962910950314422, + 1.0043140071261185, + 1.1187218024498737, + 1.2381781790035837, + 1.3611403511032798, + 1.485892396194056, + 1.6105836496657522, + 1.7332712335687506, + 1.8519656939212898, + 1.9646786352164352, + 2.069471182013742, + 2.1645020676956577, + 2.2480741504249058, + 2.318678186159601, + 2.375032747629612, + 2.416119265084318, + 2.4412112773274193, + 2.449897117353679, + 2.442095412510993, + 2.418062950747239, + 2.3783946479779496, + 2.3240155424394855, + 2.2561649353927695, + 2.1763729889603147, + 2.0864302764998266, + 1.9883509541874842, + 1.8843303801187845, + 1.7766981453291357, + 1.6678675962590286, + 1.560283017466667, + 1.4563657045852112, + 1.3584601890766899, + 1.2687818774240394, + 1.189367337944325, + 1.1220284090695989, + 1.0683112151292944, + 1.0294610614810968, + 1.0063940430270115, + 0.9996760420485171, + 1.0095096167301514 + ], + [ + 1.0263411139365073, + 1.064257802637589, + 1.1175023056260776, + 1.1849764279138675, + 1.2652642102026506, + 1.3566633573601992, + 1.4572230804250885, + 1.5647874622676958, + 1.6770433272641199, + 1.7915714902539337, + 1.9059001821870938, + 2.017559401086157, + 2.1241349184102103, + 2.2233206830175605, + 2.312968407345363, + 2.3911331920731893, + 2.456114144616452, + 2.5064890708364387, + 2.541142465279205, + 2.5592861894561603, + 2.5604724061016877, + 2.544598525592111, + 2.511904114155809, + 2.4629599073971966, + 2.3986492622459554, + 2.3201425610909965, + 2.2288652491590013, + 2.126460336080949, + 2.014746321425734, + 1.895671608663898, + 1.7712665500560845, + 1.6435943145035439, + 1.5147017903242714, + 1.386571724835913, + 1.2610772628875122, + 1.139939978172805, + 1.0246923960707228, + 0.9166458873471882, + 0.8168646713682801, + 0.7261465090922878, + 0.6450104940333533, + 0.5736921679608374, + 0.5121460018781088, + 0.4600550964839459, + 0.41684777452407157, + 0.38172056473135163, + 0.3536669177365721, + 0.331510852370049, + 0.3139446096882402, + 0.29956929484087125, + 0.2869374159312749, + 0.2745961860420004, + 0.2611304406208776, + 0.2452040377416854, + 0.2255986529241968, + 0.20124895205213095, + 0.1712732236010903, + 0.13499867237123148, + 0.09198071811614122, + 0.04201580026885949, + -0.014852639629098744, + -0.07833514752179926, + -0.1479041857896139, + -0.22280878740449114, + -0.3020955451664332, + -0.3846353799095967, + -0.46915537977868793, + -0.5542748689494378, + -0.6385447519076746, + -0.7204890914772052, + -0.7986478174532518, + -0.871619429543368, + -0.9381025542208135, + -0.9969352402048919, + -1.0471309310121786, + -1.087910134064547, + -1.1187269121983114, + -1.1392894524582593, + -1.149574115571441, + -1.149832533774845, + -1.1405915006127436, + -1.1226455795183148, + -1.0970425438543228, + -1.0650619449386545, + -1.028187281792211, + -0.988072412446597, + -0.9465029974326074, + -0.9053538977079105, + -0.8665435584132034, + -0.8319864936646675, + -0.8035450439168123, + -0.7829816047630103, + -0.7719125236007734, + -0.7717648283324919, + -0.7837368909001877, + -0.8087640393892759, + -0.8474900177974994, + -0.9002450551063488, + -0.9670311483408365, + -1.047514991677351, + -1.1410287995727828, + -1.2465790808481383, + -1.3628632273549959, + -1.4882935900371967, + -1.6210285315757345, + -1.7590097729053182, + -1.9000051949701973, + -2.0416561210121342, + -2.1815279918395016, + -2.317163259733954, + -2.4461352680914628, + -2.5661018550613464, + -2.6748574211030927, + -2.7703822325429877, + -2.850887795147978, + -2.9148572219786817, + -2.9610796361774474, + -2.9886777890874474, + -2.9971282338082763, + -2.9862735701026817, + -2.9563264642129825, + -2.9078653420665126, + -2.8418218518102933, + -2.7594603868153498, + -2.662350148485392, + -2.5523304048182425, + -2.431469761412072, + -2.3020204025804745, + -2.1663683780263794, + -2.026981102277537, + -1.8863532975991204, + -1.7469526448577815, + -1.6111664100310068, + -1.4812502867017006, + -1.359280637662542, + -1.2471112331241785, + -1.1463354711137381, + -1.0582549302482696, + -0.9838549495241544, + -0.923787757922372, + -0.878363492727979, + -0.847549254026644, + -0.8309761485763096, + -0.827954083922427, + -0.8374938879398732, + -0.8583361544789121, + -0.8889860567179122, + -0.9277532300437143, + -0.9727957091696545, + -1.0221668125717722, + -1.0738638033513623, + -1.1258771208025913, + -1.1762389720404265, + -1.2230700980456162, + -1.2646235826893581, + -1.2993246552655153, + -1.325805544654075, + -1.3429345737038008, + -1.3498388324320372, + -1.3459199343927637, + -1.3308625378751413, + -1.3046354979996395, + -1.2674857026460018, + -1.219924829794071, + -1.1627094416667798, + -1.0968149975970432, + -1.0234045186496847, + -0.9437927689627765, + -0.859406928263275, + -0.7717448143612735, + -0.6823317715718302, + -0.5926773695747684, + -0.5042330565425798, + -0.4183518805206276, + -0.3362513348416085, + -0.25898029831797736, + -0.18739093127613968, + -0.122116256986169, + -0.06355400805940553, + -0.011857152754848718, + 0.03306865895813029, + 0.07156067083936284, + 0.10418774109755873, + 0.13173251146627496, + 0.15516749923759243, + 0.17562574625018545, + 0.19436680204221327, + 0.21273894176659025, + 0.2321386198798403, + 0.2539682354861225, + 0.27959333261724184, + 0.31030037742008704, + 0.3472562436893782, + 0.39147049864541816, + 0.4437615132636832, + 0.5047273274723733, + 0.5747220824683477, + 0.653838693192882, + 0.7418982771234748, + 0.8384466848934056, + 0.9427582981156621, + 1.0538470746769173, + 1.1704846363281056, + 1.2912250122954962, + 1.414435480436078, + 1.5383327885152853, + 1.6610238965235102, + 1.7805502601771048, + 1.8949345789623968, + 2.002228861778055, + 2.1005626212589474, + 2.188189995366889, + 2.263534612223994, + 2.325231061112501, + 2.3721619080058276, + 2.4034892961533862, + 2.4186802986730207, + 2.4175253377595656, + 2.4001491504117904, + 2.367013959484746, + 2.3189146970158365, + 2.256966319539204, + 2.182583447757682, + 2.09745275074286, + 2.003498673148002, + 1.9028432683397165, + 1.7977610468082352, + 1.690629874065789, + 1.5838790523760387, + 1.4799357935648616, + 1.3811713340021305, + 1.2898479564821221, + 1.2080681667772084, + 1.1377272254534236, + 1.080470159219927, + 1.037654272454599, + 1.0103180510935745, + 0.9991572008938313, + 1.004508393808699, + 1.0263411139365068 + ], + [ + 1.051410205904631, + 1.1006974657505264, + 1.1646435637149994, + 1.241945040407839, + 1.3309991060340507, + 1.4299390760677964, + 1.536675706394549, + 1.648943457819165, + 1.7643506042738148, + 1.8804320097549279, + 1.9947033381221517, + 2.104715428857168, + 2.2081075714264693, + 2.3026584409902964, + 2.3863335180722305, + 2.4573279029434216, + 2.514103549684554, + 2.555420082332817, + 2.580358512799903, + 2.588337353478067, + 2.5791208023663774, + 2.5528188706003903, + 2.509879516739721, + 2.4510730442924706, + 2.377469204032708, + 2.2904076161794036, + 2.1914622852281336, + 2.08240111833423, + 1.9651414733032593, + 1.8417028516905738, + 1.714157914126374, + 1.5845830273383472, + 1.4550095547401307, + 1.3273770749326703, + 1.2034896558105104, + 1.0849762276796777, + 0.9732559890638666, + 0.8695096465132266, + 0.7746571381035643, + 0.6893423232624925, + 0.6139249432978611, + 0.5484799720170348, + 0.49280428875560317, + 0.44643042166515823, + 0.40864693185141143, + 0.3785248433261266, + 0.35494937385964376, + 0.33665609141386227, + 0.32227051312282723, + 0.31035008141997794, + 0.2994273968983768, + 0.28805356115441794, + 0.27484048580667975, + 0.2585010559640129, + 0.23788609677310685, + 0.2120171787288373, + 0.1801144089342398, + 0.141618488592098, + 0.0962064682970824, + 0.04380079832124232, + -0.01542855316698371, + -0.08106895960525999, + -0.15247683646092874, + -0.22879586690105744, + -0.30898126628244704, + -0.39182944074154535, + -0.476012253351751, + -0.5601149895922701, + -0.642677015341757, + -0.7222340477916379, + -0.7973609144421716, + -0.8667136588793194, + -0.9290698647891259, + -0.9833661113699919, + -1.0287315429444368, + -1.0645166314390384, + -1.09031633012059, + -1.1059869575715793, + -1.1116563088531197, + -1.1077266621910293, + -1.0948705300395531, + -1.0740191884997987, + -1.0463442041444504, + -1.0132323576681537, + -0.976254534893353, + -0.9371293131870654, + -0.8976821112877513, + -0.8598008893377642, + -0.8253894805203987, + -0.7963197036633464, + -0.7743834457040794, + -0.7612459129325998, + -0.7584012300825139, + -0.7671315170230586, + -0.7884704951383756, + -0.8231725712979235, + -0.8716882191188462, + -0.9341463280941016, + -1.0103440247319881, + -1.0997442901828156, + -1.2014815103132324, + -1.314374901452541, + -1.4369495628172742, + -1.5674647196555986, + -1.703948544057998, + -1.8442387775354503, + -1.9860282349094416, + -2.1269141463843195, + -2.2644501969430677, + -2.396200051877052, + -2.5197911161103326, + -2.632967264079801, + -2.7336392966092062, + -2.8199319310451254, + -2.890226209741413, + -2.943196317908589, + -2.9778399323424507, + -2.9935013744629817, + -2.989887010754975, + -2.9670725269918745, + -2.925501895095184, + -2.8659780484566406, + -2.7896454782412397, + -2.697965154813391, + -2.592682360327444, + -2.4757881862760835, + -2.349475599322364, + -2.2160911064251776, + -2.078083153013815, + -1.93794846329464, + -1.7981775778758378, + -1.6612008596851562, + -1.5293362242831887, + -1.4047398055473996, + -1.2893606934640474, + -1.1849007792761215, + -1.092780617017775, + -1.0141120626481195, + -0.9496782862312442, + -0.8999215729835593, + -0.8649391399456958, + -0.8444870011802393, + -0.837991720505227, + -0.8445697015943174, + -0.8630534854317782, + -0.8920243589881043, + -0.9298504306181216, + -0.9747292006690815, + -1.0247335531790873, + -1.0778600187937275, + -1.1320781119109324, + -1.185379527647283, + -1.2358259968343095, + -1.2815946394854396, + -1.3210197278770233, + -1.3526298677087727, + -1.3751797272440582, + -1.3876755867779427, + -1.3893941406261952, + -1.3798941570314722, + -1.3590207835805115, + -1.3269024723407157, + -1.283940685277992, + -1.2307927219488874, + -1.1683481834398368, + -1.0976997447712606, + -1.020109048562395, + -0.9369686521818882, + -0.8497610559425783, + -0.7600159087988432, + -0.6692665288002205, + -0.579006887281674, + -0.4906501881964103, + -0.40549012762450126, + -0.32466584454622643, + -0.249131474370214, + -0.17963109401433608, + -0.11667970469085005, + -0.0605507395853355, + -0.01127041238838968, + 0.031380956506613815, + 0.06786068183669701, + 0.09884875027115324, + 0.12522655449035586, + 0.14804989189739792, + 0.16851694585066204, + 0.18793209949483536, + 0.20766654274820773, + 0.22911671895479738, + 0.253661716926864, + 0.28262074505474627, + 0.31721182602553627, + 0.3585128233804167, + 0.4074258552975023, + 0.4646460679766257, + 0.530635632873641, + 0.6056037014678032, + 0.6894929014981064, + 0.7819727934111601, + 0.8824405292566067, + 0.9900287728693489, + 1.1036207544951224, + 1.2218721497169756, + 1.3432392962439095, + 1.4660130972827803, + 1.5883578110054337, + 1.7083537958383346, + 1.8240431742576624, + 1.9334772962242661, + 2.034764829464568, + 2.1261192789373444, + 2.2059047427415046, + 2.2726787463973754, + 2.3252310611125004, + 2.362617502839821, + 2.3841878254806166, + 2.3896069606721713, + 2.378869014860881, + 2.3523036079421225, + 2.310574322408037, + 2.25466922315861, + 2.1858836012044818, + 2.1057952846689276, + 2.016233043092416, + 1.9192387815424667, + 1.8170243752128872, + 1.7119241292305634, + 1.6063439589366573, + 1.5027084702061893, + 1.4034071752897916, + 1.3107411057749156, + 1.2268710798695073, + 1.1537688463592162, + 1.0931722630747096, + 1.0465455750547943, + 1.0150457390208003, + 0.9994955991425567, + 1.0003645577997178, + 1.0177572080301636, + 1.0514102059046302 + ], + [ + 1.0845047967725792, + 1.1447397882500672, + 1.2188289313300877, + 1.3052745421963083, + 1.4023005810742135, + 1.507891795286911, + 1.6198381978011887, + 1.7357838391389135, + 1.853278730150248, + 1.969832700376886, + 2.082969933322019, + 2.190282906915141, + 2.289484485095943, + 2.378456954272453, + 2.4552968752254656, + 2.5183547249158047, + 2.5662684310239827, + 2.5979900517365215, + 2.6128050205945375, + 2.610343557016046, + 2.590584032946633, + 2.5538482803215734, + 2.5007890178741468, + 2.4323697645554683, + 2.34983778583119, + 2.2546907840286794, + 2.1486381907194088, + 2.033558044283952, + 1.9114505363114345, + 1.784389383936371, + 1.6544722298922814, + 1.5237712869563311, + 1.3942854283050392, + 1.2678948805740609, + 1.1463196033233556, + 1.0310823390607848, + 0.9234771945326732, + 0.8245444697964729, + 0.7350522903045527, + 0.6554854229214581, + 0.5860414738575589, + 0.5266344795221362, + 0.47690571496211576, + 0.4362413635159628, + 0.40379652009087696, + 0.3785248433261265, + 0.3592130327365843, + 0.3445191891816904, + 0.33301402357699594, + 0.3232238119448065, + 0.3136739563032055, + 0.3029320014245591, + 0.28964897732892236, + 0.2725979859522262, + 0.250709026460167, + 0.2230991551945694, + 0.1890972006291653, + 0.14826239779330377, + 0.10039646671931902, + 0.04554883150629916, + -0.01598514380409187, + -0.08367284373729457, + -0.15675977450385317, + -0.23429120719923954, + -0.31513951247105954, + -0.39803645877958954, + -0.48160961574021766, + -0.5644218953464398, + -0.6450131799030767, + -0.7219429284031077, + -0.7938326243339611, + -0.8594069282632743, + -0.9175324280603873, + -0.9672529375548423, + -1.0078203793969776, + -1.038720397766817, + -1.0596919786448826, + -1.0707405063197317, + -1.0721438508895207, + -1.0644512585607464, + -1.0484750001160181, + -1.0252749184027767, + -0.9961361984179237, + -0.9625408589219386, + -0.9261336280774947, + -0.8886830132262825, + -0.8520385028375904, + -0.8180849436123367, + -0.7886952150020885, + -0.7656823749346118, + -0.7507524729442026, + -0.7454592195269024, + -0.7511616634598682, + -0.7689859628611289, + -0.7997922424625233, + -0.8441474111488196, + -0.9023046731333503, + -0.974190306607013, + -1.0593981092006393, + -1.157191724407225, + -1.2665148717614494, + -1.3860093107722389, + -1.5140401790990452, + -1.6487281639309563, + -1.7879877964601716, + -1.9295710069282335, + -2.071114945753477, + -2.2101929680131325, + -2.344367596765384, + -2.4712442274231874, + -2.588524311999578, + -2.694056769170845, + -2.785886403634988, + -2.862298185319026, + -2.921856334023409, + -2.963437275810998, + -2.9862556809456287, + -2.9898829559934934, + -2.9742577408763973, + -2.939688150886217, + -2.886845699339307, + -2.816751033911981, + -2.7307518139550453, + -2.6304932425122844, + -2.5178819408325084, + -2.3950440106363464, + -2.264278266454712, + -2.1280057336717335, + -1.9887165947413818, + -1.8489158243117436, + -1.711068782293899, + -1.5775480315979205, + -1.4505826144200678, + -1.332210958446307, + -1.2242384937046444, + -1.1282009443098218, + -1.0453341198840893, + -0.9765508724550448, + -0.9224257100455017, + -0.8831873722797515, + -0.8587194807039055, + -0.8485691818817418, + -0.8519635094499608, + -0.8678330068888919, + -0.8948419802860395, + -0.9314245940364302, + -0.9758258860256723, + -1.026146665669377, + -1.080391170947231, + -1.136516301335485, + -1.1924812136769019, + -1.2462960681704214, + -1.2960687417101888, + -1.3400483849090055, + -1.3766647857427663, + -1.4045626146076309, + -1.4226297598286626, + -1.4300191158841387, + -1.4261633549380646, + -1.4107823914608224, + -1.383883435260572, + -1.3457537154934087, + -1.2969461424834388, + -1.2382583508645584, + -1.1707057322519412, + -1.0954892142698387, + -1.0139586716198392, + -0.9275729607883639, + -0.8378576503618702, + -0.746361571785833, + -0.654613339504391, + -0.564078984210267, + -0.4761218086145682, + -0.39196551263905693, + -0.31266154587262596, + -0.23906153181696646, + -0.17179547378008345, + -0.11125629970030244, + -0.05759113658580834, + -0.010699528873720917, + 0.02976136666956563, + 0.06436475925539616, + 0.0938957037648095, + 0.11932657996184541, + 0.1417872265383505, + 0.16253052569599147, + 0.18289435401788948, + 0.2042609120210962, + 0.22801451554171223, + 0.2554989751670976, + 0.2879757041712901, + 0.3265836804324921, + 0.372302343952749, + 0.42591843992461237, + 0.4879977195639513, + 0.5588622895758695, + 0.6385742591629898, + 0.7269261744659351, + 0.8234385582220485, + 0.9273646915530985, + 1.037702589685952, + 1.153213938726625, + 1.272449581000098, + 1.3937809664698875, + 1.5154368316657258, + 1.6355442293376536, + 1.7521729152449979, + 1.8633820060765338, + 1.9672677568780834, + 2.0620112692666535, + 2.145924934160453, + 2.2174964350407005, + 2.275429189432175, + 2.318678186159601, + 2.3464802821181894, + 2.358378152241916, + 2.3542372369201936, + 2.3342551986415323, + 2.298963580041639, + 2.2492215443860095, + 2.18620177218651, + 2.1113687793977274, + 2.026450108733277, + 1.933401021488042, + 1.8343634784942393, + 1.7316203414763411, + 1.6275458465501245, + 1.5245534969235444, + 1.4250425896047447, + 1.3313446293816589, + 1.24567089150441, + 1.1700623721123495, + 1.106343312991522, + 1.0560794059512573, + 1.0205416739072866, + 1.0006768932512256, + 0.9970852684687642, + 1.0100058989589118, + 1.03931039374944, + 1.084504796772578 + ], + [ + 1.1253448913261357, + 1.1960121521584866, + 1.27959997574216, + 1.3744291370372184, + 1.4785653925800142, + 1.5898619997389416, + 1.7060069623362504, + 1.824573897305256, + 1.9430753327080685, + 2.059017191822873, + 2.1699531924502162, + 2.27353789567598, + 2.3675771739055143, + 2.4500749331424445, + 2.519275017597277, + 2.5736973434615007, + 2.612167450133729, + 2.633838817843266, + 2.6382074765249546, + 2.625118617630247, + 2.594765113724574, + 2.547678045483606, + 2.4847095272929867, + 2.407008306396096, + 2.3159887819427447, + 2.2132942452008697, + 2.1007552768504953, + 1.9803443484383232, + 1.8541277600726365, + 1.7242161032731298, + 1.5927144652505065, + 1.4616735881987533, + 1.3330431646066183, + 1.2086283880403585, + 1.090050789939833, + 0.9787142790011073, + 0.8757771636040393, + 0.782130782938925, + 0.6983852029050225, + 0.6248622527664919, + 0.5615959924813259, + 0.5083405132278465, + 0.4645847896261265, + 0.42957412607890316, + 0.4023375759207984, + 0.3817205647313513, + 0.3664218218839672, + 0.3550336203083251, + 0.34608424609080995, + 0.3380815688296872, + 0.32955656180655457, + 0.31910562851516766, + 0.3054306286484084, + 0.28737556129969144, + 0.263958954197783, + 0.2344011229137756, + 0.19814560020336816, + 0.1548741894966034, + 0.10451526410020312, + 0.04724511067229041, + -0.016517702531773155, + -0.08612476987987495, + -0.16071676432449244, + -0.23924831523344497, + -0.3205181821828768, + -0.4032039198424196, + -0.48590011072544614, + -0.5671591478403695, + -0.6455334805823184, + -0.7196181963133745, + -0.7880927980595053, + -0.8497610559425776, + -0.9035878559700722, + -0.9487320435012134, + -0.9845743582758222, + -1.0107396808576783, + -1.027112953642351, + -1.033848299629509, + -1.0313710349546068, + -1.0203724523810518, + -1.0017974380195083, + -0.9768251678093035, + -0.9468433091225706, + -0.9134163217175675, + -0.8782486068962673, + -0.8431433901841175, + -0.8099583376635814, + -0.7805589963091459, + -0.7567712119489022, + -0.7403337131430574, + -0.7328520543598676, + -0.7357550871156899, + -0.7502550737424051, + -0.7773124763957665, + -0.8176063457671199, + -0.8715111023056024, + -0.939080350785946, + -1.0200382004667563, + -1.1137783819949594, + -1.21937126306178, + -1.335578672251651, + -1.460876249289447, + -1.5934828547026643, + -1.7313963973525714, + -1.8724352786787375, + -2.0142845118097314, + -2.1545454554263874, + -2.290788009383497, + -2.4206040539409166, + -2.5416608786893637, + -2.6517533418198505, + -2.7488535254780913, + -2.8311567080129154, + -2.897122557682585, + -2.945510562829746, + -2.9754088480229157, + -2.986255680945628, + -2.977853147136589, + -2.9503726548680422, + -2.9043521259991345, + -2.840684925853574, + -2.76060078125106, + -2.6656391260012593, + -2.5576154928214856, + -2.4385817353970896, + -2.3107810101620996, + -2.1765985707974096, + -2.038509526432722, + -1.8990247847308934, + -1.760636441742371, + -1.6257638906811072, + -1.4967019013750291, + -1.3755718716175007, + -1.264277372264576, + -1.1644650016624298, + -1.077491434486062, + -1.004397398548217, + -0.945889144334711, + -0.9023277900933894, + -0.873726734721215, + -0.8597571361342217, + -0.8597612590352084, + -0.8727733077537317, + -0.897547181716593, + -0.9325904274517325, + -0.9762035158065708, + -1.0265234497836857, + -1.0815706100240299, + -1.139297673842407, + -1.1976394015044707, + -1.2545620710756145, + -1.308111360874132, + -1.3564575257862614, + -1.3979367891794088, + -1.4310879739173672, + -1.4546835214234892, + -1.4677541936608374, + -1.4696069156054845, + -1.4598353911763078, + -1.4383233092404561, + -1.4052401436316322, + -1.3610297374103626, + -1.3063920422093473, + -1.2422585539422215, + -1.169762142173339, + -1.0902021081810958, + -1.0050054227940286, + -0.9156851865829913, + -0.823797419718716, + -0.7308973251920308, + -0.6384961762964282, + -0.5480199571754845, + -0.46077083446248285, + -0.3778924599270296, + -0.30034000061959315, + -0.2288556669289363, + -0.16395036346622213, + -0.10589192647486491, + -0.054700238641435674, + -0.010149332143704266, + 0.02822359190987993, + 0.061102480182421134, + 0.0893705065932503, + 0.11408250433502377, + 0.1364324881432762, + 0.15771713360956827, + 0.1792961872177163, + 0.20255086276227252, + 0.2288413347802124, + 0.25946446617074226, + 0.2956129045896007, + 0.33833665051185935, + 0.38850813982250404, + 0.44679179689281323, + 0.5136189024864884, + 0.5891684872906497, + 0.673354809716459, + 0.7658218096683114, + 0.8659447524223672, + 0.9728390930414373, + 1.0853764065025553, + 1.2022070465916541, + 1.3217890222222692, + 1.442422417572952, + 1.5622885364275403, + 1.6794928250607564, + 1.7921105251649423, + 1.898233931315507, + 1.99602007833636, + 2.083737663974432, + 2.1598120221229253, + 2.2228670013023257, + 2.2717626713357286, + 2.3056278765411125, + 2.3238867740304125, + 2.3262786379518934, + 2.3128703712850127, + 2.284061342174719, + 2.240580347483015, + 2.1834746976831783, + 2.114091609716635, + 2.0340522832297676, + 1.9452192160432478, + 1.8496574823144285, + 1.7495908474736201, + 1.6473537239012555, + 1.545340077220003, + 1.4459504723456873, + 1.3515384990658055, + 1.26435783758752, + 1.18651121464795, + 1.1199024605845076, + 1.066192808146715, + 1.0267624764390404, + 1.0026784605480115, + 0.9946693020830623, + 1.0031074515603848, + 1.0279996542624497, + 1.068985601262416, + 1.1253448913261341 + ], + [ + 1.1735849638850238, + 1.25408077007611, + 1.3464425464162786, + 1.4488237457654038, + 1.5591483057358924, + 1.6751561844022826, + 1.794452973259957, + 1.914562428248145, + 2.0329806920562112, + 2.147230942938813, + 2.254917197774144, + 2.3537760202614564, + 2.4417249383705086, + 2.5169064570915256, + 2.5777266611527603, + 2.6228875349847933, + 2.651412280542581, + 2.6626630838700356, + 2.6563509643192402, + 2.6325375316220807, + 2.591628670864858, + 2.53436036906528, + 2.4617770847626095, + 2.3752032392265723, + 2.2762085702571184, + 2.166568233146604, + 2.048218654739989, + 1.9232102427436701, + 1.793658121212698, + 1.661692102883981, + 1.5294071188356264, + 1.3988153056966324, + 1.2718009009081979, + 1.150079018676792, + 1.035159275283097, + 0.9283151049855662, + 0.8305594601241315, + 0.7426274249238105, + 0.6649660960564205, + 0.5977318986742475, + 0.5407953190033109, + 0.4937528483671296, + 0.4559457533512599, + 0.42648511719965604, + 0.40428244266903457, + 0.3880849702926324, + 0.3765147516835915, + 0.368110427948601, + 0.3613706006674594, + 0.3547976487281624, + 0.34694083937890463, + 0.33643760622240726, + 0.32205191985369636, + 0.3027087570320398, + 0.2775237796016337, + 0.2458274621253527, + 0.2071830541020031, + 0.16139792495231706, + 0.1085280135501153, + 0.048875284529896694, + -0.01702172366220581, + -0.08840399362832572, + -0.16431432799840567, + -0.24362525162658746, + -0.32507176943826116, + -0.4072881048711412, + -0.48884743877839043, + -0.5683035886793397, + -0.6442335154002972, + -0.7152795198078707, + -0.7801899971463869, + -0.8378576503618695, + -0.8873541259080553, + -0.9279601243535994, + -0.9591901514385998, + -0.980811210238093, + -0.9928548884066931, + -0.9956224622634245, + -0.9896828175210971, + -0.9758631702981131, + -0.9552327570471978, + -0.9290798435331621, + -0.8988825764071169, + -0.8662743618688956, + -0.833004600297083, + -0.8008957298784216, + -0.7717976330045881, + -0.7475405339230616, + -0.729887562872446, + -0.7204881794378405, + -0.7208336355923296, + -0.7322156170503318, + -0.7556891310893705, + -0.7920406115546784, + -0.8417620896772345, + -0.905032135558874, + -0.981704113202508, + -1.0713021157448697, + -1.1730247613997544, + -1.2857568391129004, + -1.4080886007799631, + -1.5383423088266335, + -1.6746054686443035, + -1.8147700092578956, + -1.9565765268012054, + -2.0976625775953472, + -2.235613904063604, + -2.3680173999757472, + -2.4925145735445704, + -2.60685424894197, + -2.7089432593674085, + -2.7968939276473646, + -2.869067202482904, + -2.9241104181873965, + -2.9609887706810607, + -2.979009749626232, + -2.9778399323424507, + -2.9575137255187482, + -2.918433831365664, + -2.8613634110909048, + -2.7874101156696613, + -2.6980023470196692, + -2.5948582971837975, + -2.4799484844809365, + -2.3554526596429217, + -2.223712087966798, + -2.0871783222512317, + -1.9483596631188813, + -1.8097665562810452, + -1.6738571991099354, + -1.5429846210214093, + -1.4193464638614584, + -1.3049386207023461, + -1.201513795881602, + -1.1105459281278944, + -1.0332012752042663, + -0.9703167961967377, + -0.9223862903816067, + -0.8895545638721144, + -0.8716197015826822, + -0.8680433272021597, + -0.8779685426034485, + -0.9002450551063489, + -0.9334608307125607, + -0.9759794579844682, + -1.025982274357658, + -1.0815141975618596, + -1.1405321220841789, + -1.200954686194626, + -1.260712190214737, + -1.3177954519615696, + -1.3703024204104022, + -1.416481432623007, + -1.4547700902017198, + -1.4838288476020953, + -1.5025685426047166, + -1.5101712556113236, + -1.5061040552426546, + -1.4901253686775788, + -1.462283901743551, + -1.4229102212768518, + -1.3726012960336804, + -1.3121984678697183, + -1.2427594876537271, + -1.1655253964030756, + -1.0818831578149855, + -0.9933250506214207, + -0.9014059055148274, + -0.8076993199266835, + -0.7137540035412714, + -0.6210513976701708, + -0.5309656728128331, + -0.44472714192787566, + -0.36339003388249186, + -0.2878054546355312, + -0.21860022594128276, + -0.15616213625596034, + -0.10063197003943125, + -0.051902504056973144, + -0.009624477111642524, + 0.026780642497874676, + 0.05810144497492741, + 0.08531144397222208, + 0.1095386948626651, + 0.13203098022204401, + 0.15411749306652836, + 0.17716804121363458, + 0.20255086276227244, + 0.2315901814054, + 0.2655246400895019, + 0.3054677321382667, + 0.35237130081848683, + 0.40699310262341726, + 0.46986932815685206, + 0.5412928499429948, + 0.6212978218716043, + 0.7096510939321494, + 0.8058507324309472, + 0.9091317543749093, + 1.0184789997076307, + 1.132646881256242, + 1.250185574228038, + 1.3694730393843983, + 1.488752120866264, + 1.6061718249453, + 1.7198317731679584, + 1.8278287353462699, + 1.928304086916384, + 2.019491002948984, + 2.0997601984573686, + 2.16766305177662, + 2.221971004105597, + 2.26171021251025, + 2.286190543781741, + 2.295028129878593, + 2.2881608590266396, + 2.265856346168622, + 2.2287121081991286, + 2.1776478588324104, + 2.1138900303734363, + 2.0389488203537014, + 1.9545882452442966, + 1.862789856708396, + 1.7657109338073682, + 1.665638103299097, + 1.5649374562033949, + 1.4660023192472669, + 1.3711999023592891, + 1.2828180764563104, + 1.2030135384778224, + 1.1337625928418005, + 1.0768157208351266, + 1.0336570232640927, + 1.0054695090277943, + 0.9931070658451843, + 0.9970737924560595, + 1.017511198023394, + 1.0541935883981965, + 1.1065317648853468, + 1.173584963885022 + ], + [ + 1.2288168816065133, + 1.3184543552190058, + 1.418791124957933, + 1.5278289563270806, + 1.643367552632366, + 1.7630527218786247, + 1.8844279372976174, + 2.0049880882755295, + 2.1222341681719517, + 2.233727625473087, + 2.3371431153621116, + 2.4303184298294114, + 2.511300454851308, + 2.578386101185478, + 2.6301572785377645, + 2.6655091282065784, + 2.683670893226792, + 2.6842189834831145, + 2.6670819818606333, + 2.632537531622081, + 2.5812012400933355, + 2.514007924635412, + 2.4321857091238717, + 2.3372236483071087, + 2.230833709365921, + 2.1149080710716253, + 1.9914728079840385, + 1.8626391075876467, + 1.730553220239198, + 1.5973463641046506, + 1.4650857994452118, + 1.3357282489636335, + 1.2110767744731064, + 1.0927421266420692, + 0.9821094664058345, + 0.8803112168322197, + 0.7882066463256336, + 0.7063686120354101, + 0.635077710525004, + 0.5743238957169705, + 0.5238154365335506, + 0.48299490318570104, + 0.45106169629361015, + 0.4270004712911325, + 0.409614665882833, + 0.397564214258995, + 0.38940643138224934, + 0.3836389763925583, + 0.3787437578300714, + 0.3732306260401785, + 0.36567971016551837, + 0.35478129817206533, + 0.33937222729996935, + 0.31846784737502565, + 0.29128873811064926, + 0.2572815008290933, + 0.21613310137559313, + 0.16777841040646552, + 0.11240076539291946, + 0.05042556107062058, + -0.017492942948554212, + -0.09049123171837443, + -0.16752202850899542, + -0.24738498551619462, + -0.3287617488285102, + -0.4102544598122966, + -0.4904266641700412, + -0.5678455353759871, + -0.6411242826506937, + -0.7089636060531065, + -0.7701910828663893, + -0.8237974197187153, + -0.8689685825765082, + -0.9051129199473894, + -0.931882520761638, + -0.9491881943122898, + -0.9572076216717543, + -0.9563864021029835, + -0.9474318997726128, + -0.9312999809790318, + -0.9091749154708713, + -0.8824428926227341, + -0.8526597697728143, + -0.8215138216882232, + -0.7907843930489176, + -0.7622974666326653, + -0.7378792456899418, + -0.7193089075868947, + -0.7082717156088965, + -0.7063136760143135, + -0.7147988979027587, + -0.734870754849209, + -0.7674178609166707, + -0.8130457616498625, + -0.8720551056687887, + -0.944426907798871, + -1.0298153440655202, + -1.1275483365209142, + -1.2366359962359672, + -1.355786800547379, + -1.48343119053992, + -1.6177520914663222, + -1.7567216869016151, + -1.8981436211632194, + -2.0396996677941095, + -2.17899978811953, + -2.313634415905764, + -2.4412277441987755, + -2.5594907600406174, + -2.666272772768334, + -2.759610212061066, + -2.837771532137784, + -2.8992971471070437, + -2.943033437321445, + -2.9681600049349632, + -2.974209515363956, + -2.961079636177447, + -2.9290367718505514, + -2.878711487268576, + -2.811085710142267, + -2.7274719977888524, + -2.6294853422975195, + -2.5190081653431458, + -2.39814931552592, + -2.2691980231672217, + -2.1345738865313506, + -1.996774056582003, + -1.8583188523671244, + -1.721697074394332, + -1.5893122880751622, + -1.463431323394174, + -1.3461361810623087, + -1.2392804509392563, + -1.1444512375544271, + -1.062937452861799, + -0.9957051812534841, + -0.9433806501471929, + -0.9062411553753377, + -0.8842140986554603, + -0.8768840993179488, + -0.88350794898174, + -0.9030369907285847, + -0.9341463280941019, + -0.9752701081551777, + -1.0246419810521792, + -1.0803397188672041, + -1.1403328827503936, + -1.2025323607774068, + -1.2648405617792717, + -1.3252010431330323, + -1.38164637331904, + -1.4323430822737802, + -1.4756326328074598, + -1.5100674525319284, + -1.5344411951400603, + -1.547812549203901, + -1.5495220781420804, + -1.539201752479174, + -1.516777020525846, + -1.4824614515152381, + -1.436744171343551, + -1.3803704907412195, + -1.3143162944760274, + -1.2397569138732012, + -1.1580313397275157, + -1.0706027452559728, + -0.9790163763360249, + -0.8848559267631572, + -0.789699548194487, + -0.6950766470921622, + -0.6024265943466496, + -0.513060418085173, + -0.42812646790944314, + -0.3485809315922033, + -0.27516395585141223, + -0.20838197452540133, + -0.1484966840757099, + -0.09552093200560267, + -0.04922160293299464, + -0.009129404288606549, + 0.02544472643851748, + 0.05538704374875429, + 0.08175285740824555, + 0.1057335942290028, + 0.12861994152337272, + 0.1517620586547217, + 0.17652792108383566, + 0.20426091202109603, + 0.23623779893095878, + 0.2736282251097639, + 0.31745681051686603, + 0.3685688918600288, + 0.427600841205652, + 0.49495578735953305, + 0.5707854278153842, + 0.6549784646094884, + 0.7471560288213406, + 0.8466742799539767, + 0.9526341825008151, + 1.063898277288989, + 1.1791140843404622, + 1.2967436015814413, + 1.4150982041240294, + 1.5323781060955313, + 1.646715424740731, + 1.7562197879046906, + 1.8590253535681727, + 1.9533380657558808, + 2.0374819560730195, + 2.1099433148234588, + 2.169411599858034, + 2.2148160239922428, + 2.245356861306193, + 2.260530636512123, + 2.26014850685094, + 2.244347309124353, + 2.213592921497595, + 2.1686757762800086, + 2.110698551421086, + 2.0410562602296456, + 1.9614091460982195, + 1.8736489671605587, + 1.7798594204084048, + 1.682271601753477, + 1.5832155241754364, + 1.4850688173012698, + 1.39020380596511, + 1.300934210611454, + 1.2194627276478827, + 1.147830732581646, + 1.0878713032954652, + 1.0411666861794577, + 1.009011225806373, + 0.9923806518569954, + 0.9919084681290972, + 1.0078700212936174, + 1.0401746456449452, + 1.0883660888304736, + 1.1516312270841498, + 1.2288168816065115 + ], + [ + 1.290573357473953, + 1.3885882779274852, + 1.4960336096545548, + 1.6107763488906306, + 1.730510600331046, + 1.8528079676872804, + 1.9751706255393375, + 2.0950858353854995, + 2.2100806362596916, + 2.3177754383512603, + 2.4159352767436726, + 2.5025175409590648, + 2.5757150829952025, + 2.6339937198154098, + 2.6761232830040886, + 2.7012015251617094, + 2.708670365725864, + 2.698324144017621, + 2.670309739884892, + 2.625118617630247, + 2.5635710421927995, + 2.486792903083465, + 2.396185756804926, + 2.2933908581628453, + 2.1802480911246533, + 2.0587508273235757, + 1.9309978321239871, + 1.7991434021824246, + 1.665346953169665, + 1.5317232810019894, + 1.400294694547035, + 1.2729461630469368, + 1.1513845388889654, + 1.037102807988043, + 0.931350188696461, + 0.8351087491568517, + 0.749077046178148, + 0.6736611102380602, + 0.6089729155770174, + 0.5548362861919216, + 0.5108000025612232, + 0.47615769476782105, + 0.44997393978594563, + 0.4311158282245183, + 0.4182891325409466, + 0.41007809793707695, + 0.4049877915361387, + 0.4014878870936127, + 0.398056732807607, + 0.3932245494366585, + 0.3856146348401053, + 0.37398150842963246, + 0.35724501334870346, + 0.3345195032932775, + 0.30513737194712853, + 0.2686663326745521, + 0.22492002057426108, + 0.173961664064904, + 0.11610075439558531, + 0.05188282425341942, + -0.017927373662426693, + -0.0923688251712933, + -0.17031272725844104, + -0.25049570785226144, + -0.33155690145824784, + -0.41207788796079264, + -0.4906244259389776, + -0.56578886326853, + -0.6362320878495134, + -0.7007238905374306, + -0.7581806505588814, + -0.807699319926683, + -0.8485867759915691, + -0.880383727970338, + -0.902882501157308, + -0.9161381781045792, + -0.9204727454446844, + -0.9164720739716632, + -0.9049757435920642, + -0.8870599091705207, + -0.864013583471675, + -0.8373088847861829, + -0.8085659550798476, + -0.7795133955998537, + -0.7519451872099523, + -0.7276751592198207, + -0.7084901406245694, + -0.6961029696344055, + -0.692106550007386, + -0.6979301255854756, + -0.7147988979027584, + -0.7436980368450798, + -0.7853420328626556, + -0.8401502136065752, + -0.9082291011187483, + -0.9893621214261056, + -1.083007000591301, + -1.1883009943154192, + -1.304073906672471, + -1.4288686622025606, + -1.5609690091292416, + -1.6984337545140449, + -1.83913676911013, + -1.980811854584835, + -2.121101442271, + -2.2576079937757387, + -2.387946902117999, + -2.509799649412396, + -2.6209659645842316, + -2.719413742569695, + -2.803325534553978, + -2.8711404959180338, + -2.921590782874608, + -2.9537315177800925, + -2.9669635937046444, + -2.9610487573900772, + -2.936116592140295, + -2.892663214045999, + -2.8315416915824057, + -2.7539443952541656, + -2.6613776758107264, + -2.5556294519488594, + -2.438730456917252, + -2.312910043940342, + -2.1805475792252427, + -2.044120555375397, + -1.9061506347856825, + -1.7691488801803426, + -1.6355614467394106, + -1.5077169968424147, + -1.3877770546956052, + -1.277690445098091, + -1.1791528601550878, + -1.093572472347602, + -1.0220423651079757, + -0.9653203865557153, + -0.9238168523839065, + -0.8975903344638136, + -0.8863515771957474, + -0.8894753887400068, + -0.9060201637748864, + -0.9347545129958764, + -0.9741903066070131, + -1.0226212886383654, + -1.0781662896896702, + -1.1388159607576345, + -1.202481872656834, + -1.2670467760289406, + -1.3304147971802098, + -1.390560355382129, + -1.4455746274604706, + -1.4937084543911816, + -1.5334106804198353, + -1.563361035462379, + -1.5824968131687425, + -1.5900327564520664, + -1.585473735488048, + -1.5686199858195429, + -1.539564861686463, + -1.4986852473540042, + -1.4466249523542314, + -1.3842715906301533, + -1.3127276042568574, + -1.2332762357335068, + -1.1473433752572344, + -1.0564563078987521, + -0.9622004577970442, + -0.8661752706371703, + -0.7699503907359698, + -0.6750232747318626, + -0.582779340589801, + -0.49445567954972014, + -0.41110926162127204, + -0.33359044476273503, + -0.2625224570672932, + -0.19828736371208194, + -0.14101886011957238, + -0.09060205406791645, + -0.046680216906130605, + -0.00866830221470223, + 0.024227146186179417, + 0.052982241566555774, + 0.07872485415393071, + 0.10269939530722536, + 0.1262282309781656, + 0.15067075841511846, + 0.17738124253427542, + 0.20766654274820745, + 0.2427448664095516, + 0.28370666123534277, + 0.33147870669719576, + 0.3867923846867803, + 0.4501570047756944, + 0.5218389317042492, + 0.6018471155493127, + 0.6899254620260746, + 0.7855523056636935, + 0.887947066552489, + 0.996083986573066, + 1.1087126581447164, + 1.224384882190474, + 1.3414872266727065, + 1.4582785069018427, + 1.5729312776847313, + 1.683576318613375, + 1.7883490102005157, + 1.8854364423238625, + 1.9731240690450107, + 2.049840726104037, + 2.1142008593003325, + 2.1650428728591735, + 2.2014625953316873, + 2.2228409744747197, + 2.228865249159001, + 2.2195430023414775, + 2.1952086707030647, + 2.1565222694941175, + 2.1044602809521455, + 2.0402988466846486, + 1.9655895939048793, + 1.8821286076814934, + 1.7919192318965844, + 1.6971295361608223, + 1.600045420658659, + 1.5030204424186666, + 1.4084235320209635, + 1.3185858270951183, + 1.2357478766499561, + 1.1620084675600637, + 1.099276291407377, + 1.0492256070845511, + 1.0132569635820605, + 0.9924639303723988, + 0.9876066425810848, + 0.9990928080787992, + 1.0269666476144204, + 1.0709060514028332, + 1.1302280407423908, + 1.2039024260008835, + 1.290573357473951 + ], + [ + 1.358331903756382, + 1.4638891734794737, + 1.5775164941329896, + 1.696964150980845, + 1.8198401792157253, + 1.943662551833998, + 2.0659133137810595, + 2.184093401867811, + 2.295776875448431, + 2.3986632990443164, + 2.4906270645796815, + 2.5697625164997917, + 2.6344238459001454, + 2.6832588473649794, + 2.7152357813540937, + 2.7296627520209524, + 2.726199191190066, + 2.7048592294327745, + 2.666006930098555, + 2.610343557016046, + 2.5388872366152437, + 2.452945555806705, + 2.354081803692555, + 2.2440757140329644, + 2.124879692753888, + 1.998571617596007, + 1.8673053728208484, + 1.733260328927865, + 1.5985909945296772, + 1.465378054553828, + 1.3355819662068422, + 1.2110002128026138, + 1.0932292174798615, + 0.9836317965276058, + 0.8833108886132309, + 0.7930901352903462, + 0.713501713805267, + 0.6447816397972781, + 0.5868725695902743, + 0.5394339440939262, + 0.5018591335472858, + 0.4732990689905773, + 0.45269168674053695, + 0.43879637021793694, + 0.4302324527302067, + 0.4255207482083651, + 0.42312700678771237, + 0.4215061501905093, + 0.41914612909253623, + 0.41461026127831474, + 0.40657695491926277, + 0.3938757945281353, + 0.37551906614239916, + 0.35072792051427043, + 0.3189525154022372, + 0.27988563683262174, + 0.23346947038545998, + 0.1798953728037282, + 0.11959667697688615, + 0.05323474497234761, + -0.018321340323401752, + -0.09402088869684992, + -0.17266281367251668, + -0.25293110051620693, + -0.3334335790714055, + -0.4127429622893824, + -0.48943905093114615, + -0.5621509727336518, + -0.6295983211785177, + -0.6906300849826195, + -0.7442603139159668, + -0.7896995481944862, + -0.826381145459818, + -0.853981768576657, + -0.8724354459141204, + -0.8819407797073798, + -0.8829610534010854, + -0.8762171711468925, + -0.8626735472723687, + -0.8435172458989386, + -0.8201308463540565, + -0.7940596741531756, + -0.7669741859531979, + -0.7406284262139046, + -0.7168155800365242, + -0.6973217280273737, + -0.6838789629360448, + -0.6781190528014794, + -0.6815288306837237, + -0.6954084567815544, + -0.7208336355923294, + -0.758622780237869, + -0.8093100003218818, + -0.8731246514963593, + -0.9499780276566867, + -1.039457604199877, + -1.1408290572961433, + -1.2530460941525545, + -1.3747679374709738, + -1.5043841184589228, + -1.6400460515163988, + -1.779704694591549, + -1.921153446381117, + -2.0620752988601927, + -2.2000931543850824, + -2.3328221335735018, + -2.4579226454401697, + -2.5731529662693604, + -2.6764200791271273, + -2.7658275616949726, + -2.8397193754364447, + -2.8967185024549047, + -2.9357594955390187, + -2.9561141489617215, + -2.9574096591704953, + -2.939638821672365, + -2.9031619988794555, + -2.848700788863341, + -2.7773235221232317, + -2.690422907807295, + -2.5896863376072377, + -2.477059530226209, + -2.3547043576454745, + -2.2249518325330273, + -2.090251350687512, + -1.9531173706111162, + -1.816074772018229, + -1.6816041648731057, + -1.5520884197030578, + -1.4297616584978088, + -1.3166618842728397, + -1.2145883378671092, + -1.1250645549759195, + -1.0493079576376778, + -0.9882066558140603, + -0.9423039602233791, + -0.9117909214886757, + -0.8965070175064879, + -0.8959489154573056, + -0.9092870418427226, + -0.9353895080575568, + -0.9728527648146, + -1.0200382004667585, + -1.075113759748585, + -1.1360995440258441, + -1.200916264561757, + -1.2674353587038336, + -1.3335295466926493, + -1.3971226046932683, + -1.4562371576049766, + -1.5090393524279597, + -1.5538793579463481, + -1.5893267470324681, + -1.6141999511658582, + -1.627589129414204, + -1.6288719622910346, + -1.6177220603597677, + -1.5941098636978013, + -1.5582960967115962, + -1.5108180286057018, + -1.4524689684304386, + -1.384271590630153, + -1.307445838250353, + -1.223372282704246, + -1.1335519280080095, + -1.0395635310046998, + -0.9430195652846086, + -0.8455219839407863, + -0.7486189343598272, + -0.6537635470647936, + -0.5622758610568918, + -0.47530886171322456, + -0.39381949632893243, + -0.31854539969593676, + -0.24998791108323135, + -0.18840179847666869, + -0.1337919301619701, + -0.08591695215954305, + -0.04429984725215862, + -0.008245072022125833, + 0.02313820302075654, + 0.05090738414297866, + 0.07625305248699618, + 0.10046176879320151, + 0.12487608353989654, + 0.15085282524156468, + 0.17972078607935102, + 0.21273894176659036, + 0.2510563311058279, + 0.2956746803360718, + 0.3474147890925901, + 0.4068876003032024, + 0.47447075798296157, + 0.5502913176250829, + 0.6342151172109798, + 0.7258431467095223, + 0.824515074582608, + 0.9293199057757117, + 1.03911356158795, + 1.1525429923340351, + 1.2680762633711966, + 1.3840378981868435, + 1.4986486228170284, + 1.6100685374516999, + 1.716442646721325, + 1.8159476122961717, + 1.9068385518513125, + 1.9874946982426793, + 2.0564627522551673, + 2.112496811135155, + 2.1545938321873193, + 2.182023694172894, + 2.194353046606979, + 2.1914622852281322, + 2.1735551572925558, + 2.141160678879302, + 2.0951272336989, + 2.036608914363855, + 1.9670443579813977, + 1.888128513545295, + 1.801777954333382, + 1.7100905099958328, + 1.6153001362220825, + 1.519728061222742, + 1.4257313447091386, + 1.3356500541583345, + 1.2517543031460316, + 1.1761924063572624, + 1.110941385231545, + 1.0577610074984853, + 1.018152464286378, + 0.9933226819254022, + 0.9841551345692777, + 0.9911878714788007, + 1.0145993029273654, + 1.0542021053184731, + 1.1094454136982266, + 1.1794252730780284, + 1.2629031236397255, + 1.3583319037563781 + ], + [ + 1.431519252491154, + 1.5437199622245532, + 1.6625503963191197, + 1.78566317479161, + 1.9106005206269383, + 2.0348478034247237, + 2.1558882778187183, + 2.2712577434336354, + 2.378597856776638, + 2.4757068596486125, + 2.5605865525466207, + 2.6314844335298115, + 2.6869300408659393, + 2.7257646785623892, + 2.747163864153129, + 2.750652013926226, + 2.736109067824085, + 2.703768949948803, + 2.6542099562194577, + 2.5883373534780674, + 2.507358659525405, + 2.4127522466791946, + 2.306230068282347, + 2.1896954443521652, + 2.0651969559583274, + 1.9348795852346183, + 1.8009342971014966, + 1.665547288436136, + 1.530850129936753, + 1.3988719953974824, + 1.2714951133892387, + 1.1504144890005974, + 1.0371028305804986, + 0.9327814812136214, + 0.8383980003728851, + 0.7546108717196534, + 0.6817816326168905, + 0.6199745341011059, + 0.5689636514923457, + 0.5282471802067741, + 0.49706847328938575, + 0.47444321112158816, + 0.45919194378835343, + 0.4499771164106382, + 0.44534358055739814, + 0.4437615132636836, + 0.4436706111678512, + 0.44352440211908073, + 0.4418335208492255, + 0.4372068287658217, + 0.42838931968956084, + 0.4142958418049135, + 0.3940397789253165, + 0.3669559684939205, + 0.3326172861109196, + 0.29084449291333075, + 0.24170911859511687, + 0.1855293347619731, + 0.12285895604986118, + 0.05446988536637193, + -0.01867150979525559, + -0.09543344509005067, + -0.17455240495673294, + -0.25467055898406615, + -0.33437590412616935, + -0.41224405596829644, + -0.4868805679555015, + -0.556962641971442, + -0.6212791073055572, + -0.6787675875511661, + -0.7285478452846705, + -0.7699503907359692, + -0.8025395606637188, + -0.8261304142898429, + -0.8407989508968828, + -0.8468853245856354, + -0.8449899114298803, + -0.835962268322125, + -0.8208832065363529, + -0.8010403817988482, + -0.7778979719312008, + -0.753061168616163, + -0.728236347580167, + -0.7051878979670304, + -0.6856927839016533, + -0.6714939768182966, + -0.6642539343243005, + -0.6655093091623374, + -0.6766280499298611, + -0.6987700040616993, + -0.7328520543598667, + -0.779518714944948, + -0.8391189834440155, + -0.9116900966535598, + -0.9969486704724883, + -1.094289525667449, + -1.2027923134155445, + -1.3212358631901986, + -1.4481199851414979, + -1.581694274385403, + -1.719993290140027, + -1.8608773227702589, + -2.0020778205118845, + -2.1412464284785946, + -2.276006498507705, + -2.4040058618553437, + -2.5229696194193845, + -2.6307516970413563, + -2.7253839367669936, + -2.8051215482318685, + -2.8684838263462002, + -2.914289150238913, + -2.941683411379718, + -2.950161172728383, + -2.9395790319418786, + -2.910160845955099, + -2.862494667166037, + -2.797521438312847, + -2.716515689138686, + -2.621058668329255, + -2.513004524340296, + -2.3944403142206383, + -2.2676407663499045, + -2.135018847574026, + -1.999073284506981, + -1.8623342603610245, + -1.7273085508384587, + -1.5964253743513581, + -1.4719842128659766, + -1.3561058104789419, + -1.2506874786476359, + -1.1573637317505736, + -1.0774731469388052, + -1.0120321912490273, + -0.961716590391512, + -0.9268506316382992, + -0.9074046022786705, + -0.9030003698550251, + -0.9129249156155954, + -0.9361514430759714, + -0.9713675038873362, + -1.0170094177347133, + -1.07130211574487, + -1.132303411427123, + -1.1979516025139139, + -1.2661152336086736, + -1.3346438050076475, + -1.4014181984449132, + -1.4643996060812596, + -1.52167579433567, + -1.5715036079301672, + -1.6123467198675518, + -1.642907757419507, + -1.6621540794106437, + -1.6693366424765028, + -1.6640015694644585, + -1.6459942173362925, + -1.6154557302127928, + -1.572812250876949, + -1.5187571464507952, + -1.4542267765517205, + -1.3803704907412195, + -1.2985156825869568, + -1.210128846709636, + -1.1167736798642702, + -1.020067335110413, + -0.9216359778288261, + -0.823070802825175, + -0.7258856528395952, + -0.6314773310071599, + -0.5410896244627005, + -0.4557819553186171, + -0.37640345127050967, + -0.30357308428103436, + -0.2376663658301984, + -0.17880891517432249, + -0.12687703730056912, + -0.08150526436266012, + -0.04210063297548083, + -0.007863294429820497, + 0.022187109894180965, + 0.0491800257107101, + 0.07435836496804724, + 0.09903964601977784, + 0.12457493898774694, + 0.15230671876632246, + 0.1835267581220148, + 0.21943519428526104, + 0.2611018742674766, + 0.30943102755476837, + 0.36513023123482435, + 0.42868452409199154, + 0.5003363954732212, + 0.5800722250622923, + 0.6676155848596321, + 0.7624276387944715, + 0.8637146929221765, + 0.9704427646823933, + 1.0813588578697368, + 1.1950184553962506, + 1.3098185790272656, + 1.4240356181884346, + 1.5358670024212577, + 1.6434756873740064, + 1.7450363450566049, + 1.8387820975294202, + 1.923050610619355, + 1.99632837132309, + 2.0572920091886706, + 2.104845587346494, + 2.1381528814548, + 2.1566637824158694, + 2.1601340984636663, + 2.148638190719408, + 2.1225740496830254, + 2.082660604120902, + 2.029927243896354, + 1.9656957297795683, + 1.8915548514337976, + 1.809328374942291, + 1.7210369889402948, + 1.6288551094735033, + 1.5350635343438936, + 1.4419990446505915, + 1.3520021317871904, + 1.267364080266475, + 1.1902746590520843, + 1.1227716659612068, + 1.066693531286945, + 1.0236361189427199, + 0.9949147677497817, + 0.9815324942526635, + 0.9841551345692773, + 1.0030940397331423, + 1.0382967607116078, + 1.0893459701094137, + 1.1554666720868458, + 1.235541554989813, + 1.3281341474005306, + 1.4315192524911515 + ], + [ + 1.5095162055903244, + 1.6274052395661012, + 1.7504158909221748, + 1.8761229864447262, + 2.002023751006829, + 2.125592253969207, + 2.244334288742425, + 2.355841410311017, + 2.457842877265359, + 2.5482542967788318, + 2.625221851719265, + 2.6871610967015713, + 2.7327894417238525, + 2.7611515948416043, + 2.7716374053730943, + 2.7639917322240626, + 2.7383161535873284, + 2.6950625298234985, + 2.635018625984809, + 2.5592861894561603, + 2.4692520569523055, + 2.366553029283831, + 2.2530353979090285, + 2.1307101308092973, + 2.0017048236980095, + 1.8682135936541593, + 1.732446134299769, + 1.5965771636702935, + 1.4626974777584312, + 1.3327677748877431, + 1.20857633986869, + 1.0917015742796021, + 0.9834802328215251, + 0.8849820787236757, + 0.7969915073332451, + 0.7199965104266466, + 0.654185168853369, + 0.5994496724890731, + 0.5553976788342156, + 0.5213706396150172, + 0.49646855294110337, + 0.4795804412006948, + 0.46941971581337094, + 0.46456347263048753, + 0.4634946690432396, + 0.4646460679766263, + 0.4664447964874148, + 0.4673563585046388, + 0.4659269624772537, + 0.46082307471317163, + 0.45086718667483744, + 0.4350688874198288, + 0.41265045808659595, + 0.3830663506030462, + 0.3460160739296028, + 0.30145018403529855, + 0.24956925405089475, + 0.1908158840720759, + 0.12585999125735492, + 0.05557779558885151, + -0.018974919485802835, + -0.09659454348462017, + -0.1759655143137756, + -0.2556993666500874, + -0.3343759041261694, + -0.4105853899707689, + -0.4829706229357443, + -0.5502677666078953, + -0.611344830544484, + -0.6652367603391817, + -0.7111761792595849, + -0.7486189343598265, + -0.7772637321990841, + -0.7970653001700405, + -0.8082406751691178, + -0.8112683977524461, + -0.8068805725742833, + -0.7960479401908046, + -0.7799582865769885, + -0.7599886903615313, + -0.737672269431314, + -0.7146602340840192, + -0.6926801796024623, + -0.6734916537652214, + -0.6588401117438626, + -0.6504104200550086, + -0.6497810914118161, + -0.6583804228541413, + -0.6774456705686039, + -0.7079863272148028, + -0.7507524729442013, + -0.8062090519031789, + -0.8745167847431246, + -0.9555202679610881, + -1.0487436366734728, + -1.1533939829614839, + -1.2683725317640422, + -1.392293385126078, + -1.5235094581685786, + -1.6601450510796187, + -1.8001343351848316, + -1.941264881884749, + -2.081225234678598, + -2.217655419858125, + -2.34819921339642, + -2.470556932068996, + -2.58253749722169, + -2.6821085304023295, + -2.7674432811118046, + -2.836963257273555, + -2.889375527012485, + -2.9237037836389996, + -2.939312411388092, + -2.935922953952764, + -2.9136225671936007, + -2.8728642272517826, + -2.814458661028514, + -2.739558162859094, + -2.64963265441167, + -2.546438529673707, + -2.4319809988490477, + -2.3084707998851757, + -2.178276280409618, + -2.043871962811231, + -1.9077847883820709, + -1.7725392908176638, + -1.6406029736447154, + -1.5143331597267464, + -1.3959265440655755, + -1.287372614589696, + -1.1904120111453418, + -1.1065007728106526, + -1.036781280891096, + -0.9820605430327702, + -0.9427962867806974, + -0.919091142953016, + -0.910695004999239, + -0.917015454810282, + -0.9371359530275516, + -0.9698413074490405, + -1.0136497611392794, + -1.0668508864913988, + -1.1275483365209142, + -1.1937063933421734, + -1.263199168750701, + -1.333861255117385, + -1.403538597700376, + -1.4701383625719509, + -1.531676607469251, + -1.5863226250961544, + -1.6324389181001457, + -1.6686158798161632, + -1.6937003919873939, + -1.7068177065722931, + -1.707386149504166, + -1.6951243655993307, + -1.6700510111763036, + -1.6324769896746905, + -1.5829905109496518, + -1.5224354323598235, + -1.4518835048659535, + -1.3726012960336802, + -1.2860126904245215, + -1.1936579732109152, + -1.0971505823975565, + -0.9981326668552819, + -0.8982306102557561, + -0.7990116744418502, + -0.7019428800238623, + -0.6083531780314322, + -0.5193998759556956, + -0.43604016683002195, + -0.3590084740680442, + -0.28880017108148776, + -0.22566206715659795, + -0.1695898739386104, + -0.12033268465799993, + -0.07740431555234076, + -0.04010118042403373, + -0.00752619944897336, + 0.021381913484677828, + 0.04781478050372569, + 0.07305682151085006, + 0.09844505878913508, + 0.1253273451408975, + 0.15502013839227802, + 0.18876695841656466, + 0.22769864697782424, + 0.2727965060536899, + 0.3248593179691442, + 0.3844751524670462, + 0.4519987442146739, + 0.527535082248971, + 0.6109296940629441, + 0.7017659354250861, + 0.7993694169232122, + 0.9028195141732162, + 1.010967725277877, + 1.122462461095668, + 1.2357796856934908, + 1.3492586702796179, + 1.461141987867101, + 1.5696187613815702, + 1.6728700878464013, + 1.7691154979925017, + 1.8566592758224654, + 1.9339354572747722, + 1.9995503514147002, + 2.0523214810156465, + 2.09131192074982, + 2.115859118544428, + 2.125597416389569, + 2.120473637830325, + 2.100755276850494, + 2.0670310027524774, + 2.0202033835318938, + 1.9614739215035266, + 1.8923206848294507, + 1.8144690024266314, + 1.7298558629259009, + 1.6405888166051612, + 1.5489003185774537, + 1.457098568485621, + 1.3675159935951708, + 1.2824565861569914, + 1.2041433405842656, + 1.134667040422152, + 1.075937619098701, + 1.0296392625930166, + 0.9971903377389508, + 0.9797091189026333, + 0.9779861508866766, + 0.9924639303723979, + 1.0232244157730765, + 1.0699846902154497, + 1.1321009089883307, + 1.2085804658978665, + 1.298102117339876, + 1.3990436133049078, + 1.509516205590322 + ], + [ + 1.5916628735366491, + 1.7142369901897867, + 1.8403695960982223, + 1.9675782550000742, + 2.0933363884568976, + 2.215128164353509, + 2.3305030532774866, + 2.4371287864036244, + 2.5328414881824757, + 2.6156918262887614, + 2.6839861182188063, + 2.7363214562506597, + 2.77161405719101, + 2.7891202068781396, + 2.7884493477808654, + 2.76956904686137, + 2.7328017755355205, + 2.6788136293108207, + 2.6085953067325693, + 2.5234358509437538, + 2.4248898279971485, + 2.314738769905164, + 2.1949478435548206, + 2.067618815848093, + 1.934940468142374, + 1.799137667310106, + 1.6624203252642158, + 1.526933473095196, + 1.3947096402715697, + 1.2676246646426257, + 1.14735796694025, + 1.0353582064660654, + 0.9328150956444845, + 0.8406379936323106, + 0.7594417271620801, + 0.6895399045710415, + 0.6309458010856854, + 0.5833807045780245, + 0.546289425883245, + 0.5188625009637328, + 0.5000644481000519, + 0.48866729593680513, + 0.4832884712361382, + 0.4824320317034632, + 0.4845321517656795, + 0.4879977195639519, + 0.49125688283316205, + 0.49280039021207833, + 0.49122261255804034, + 0.4852591949931769, + 0.47382038294904566, + 0.45601918200706854, + 0.43119364885910405, + 0.3989227657189729, + 0.35903551905031944, + 0.31161298125250303, + 0.25698337645008584, + 0.1957102941346819, + 0.12857439248352803, + 0.05654910221796909, + -0.019229002411767004, + -0.09749436046273731, + -0.1768901861990448, + -0.2560088193358751, + -0.33343357907140553, + -0.4077809973616937, + -0.4777422957760119, + -0.542122988318053, + -0.5998795393720084, + -0.6501520802676487, + -0.6922922879960509, + -0.7258856528395945, + -0.7507675050121682, + -0.7670323302348186, + -0.7750360764762705, + -0.7753913345256651, + -0.7689554590856852, + -0.7568118800303636, + -0.7402450307358693, + -0.7207094874726518, + -0.6997940664998847, + -0.6791817598395083, + -0.6606065032905248, + -0.645807858177139, + -0.6364847493205809, + -0.6342494341681457, + -0.6405828809986679, + -0.6567927074809159, + -0.6839747751593712, + -0.7229794519765558, + -0.7743834457040778, + -0.838467978784379, + -0.9152039228025305, + -1.0042443423363026, + -1.1049247174080907, + -1.216270925628201, + -1.3370148740190202, + -1.4656174811707174, + -1.600298527496279, + -1.7390727194713558, + -1.8797911571454977, + -2.020187256809127, + -2.157926065942792, + -2.29065581835625, + -2.4160605160156883, + -2.5319122920457486, + -2.6361223076461044, + -2.7267889643028136, + -2.802242271076331, + -2.861083293552999, + -2.90221772419406, + -2.9248827505964283, + -2.92866655529696, + -2.913519954408573, + -2.879759868362865, + -2.828064511833558, + -2.7594603868153498, + -2.6753013580411023, + -2.5772402786808946, + -2.4671938119796746, + -2.347301256822715, + -2.2198783282127477, + -2.087366963813564, + -1.9522823221341707, + -1.817158204298517, + -1.6844921680560578, + -1.5566916088547826, + -1.436022058282149, + -1.3245588955963938, + -1.2241435847694233, + -1.1363454394959873, + -1.062429784695732, + -1.003333228432835, + -0.9596465866951431, + -0.9316058193116985, + -0.9190911429530155, + -0.921634291354441, + -0.9384336984116379, + -0.9683771913610489, + -1.0100716034644954, + -1.0618785527840946, + -1.121955489705453, + -1.1883009943154192, + -1.2588032084815663, + -1.3312902188009796, + -1.4035811670905, + -1.4735368556605897, + -1.5391086353890158, + -1.5983844149823092, + -1.6496307084451685, + -1.6913297426403153, + -1.7222107752369293, + -1.741274922063755, + -1.7478129581544979, + -1.7414157344501415, + -1.7219770377571215, + -1.689688910518091, + -1.6450296345262376, + -1.5887447642437726, + -1.5218217663695526, + -1.4454589785119418, + -1.3610297374103624, + -1.2700426427344098, + -1.1740990132510372, + -1.0748486558919894, + -0.9739451034582972, + -0.8730014825661168, + -0.7735481499038144, + -0.6769931826048777, + -0.5845867289355852, + -0.4973901206229694, + -0.4162505207113138, + -0.34178173409998724, + -0.2743516456277847, + -0.21407657686121576, + -0.1608226720300503, + -0.1142142404189726, + -0.07364880161122081, + -0.03831840587116518, + -0.007236639055659641, + 0.020729426118227135, + 0.04682319911425701, + 0.07235943376200768, + 0.0986830375782983, + 0.12712693630282484, + 0.15897012736155935, + 0.19539705249729072, + 0.23745938729524527, + 0.2860412845876753, + 0.34182902126091264, + 0.4052858860019545, + 0.4766330118192067, + 0.5558367051125422, + 0.642602656476129, + 0.7363772414883454, + 0.83635593693643, + 0.9414986938528102, + 1.0505519280577715, + 1.162076616182859, + 1.2744818247727736, + 1.3860628561094133, + 1.4950430705445346, + 1.5996183445443166, + 1.6980030489397695, + 1.788476384999237, + 1.869427898157432, + 1.9394010010894103, + 1.997133379107972, + 2.0415932206536285, + 2.0720103122885942, + 2.087901158778468, + 2.089087431608266, + 2.0757072101504765, + 2.0482186547399883, + 2.00739593581146, + 1.9543174334606792, + 1.8903464126033478, + 1.8171045655963658, + 1.7364389921242454, + 1.6503833509095103, + 1.5611140652691498, + 1.4709025910186193, + 1.3820648575379753, + 1.29690906837238, + 1.217683094604291, + 1.1465227111771292, + 1.0854019128725831, + 1.0360865029988489, + 1.0000920750301585, + 0.9786474071630145, + 0.9726641644148164, + 0.9827136554970566, + 1.0090112258063717, + 1.0514086875082065, + 1.1093949972163373, + 1.1821051958254785, + 1.2683374284013813, + 1.3665776694617544, + 1.4750315951844062, + 1.5916628735366465 + ], + [ + 1.677264258347511, + 1.8034805781935177, + 1.931650462796957, + 2.059255227501695, + 2.183765886744877, + 2.302698020260316, + 2.413665544684126, + 2.5144321437267583, + 2.602959167342372, + 2.6774488961629177, + 2.736382179759525, + 2.7785495932899735, + 2.803075413452222, + 2.809433887558224, + 2.7974574547361803, + 2.7673367712325536, + 2.719612587802265, + 2.655159721461818, + 2.575163551700302, + 2.4810896480271256, + 2.3746472971910326, + 2.257747840623756, + 2.132458852214478, + 2.0009552805422697, + 1.8654687459506363, + 1.7282362197965428, + 1.5914493200263182, + 1.4572054338472382, + 1.3274618253461552, + 1.2039938048523975, + 1.088357929740524, + 0.9818610759473541, + 0.88553606903613, + 0.8001243969653263, + 0.7260663479911074, + 0.6634987308201485, + 0.6122601448810879, + 0.5719035811077785, + 0.5417159525809307, + 0.5207439842408564, + 0.507825735866026, + 0.5016268964270028, + 0.5006808741100949, + 0.5034316175341926, + 0.5082780421013166, + 0.5136189024864889, + 0.5178969487270112, + 0.5196412292195989, + 0.5175064584454896, + 0.5103084489707981, + 0.49705471408526575, + 0.4769694765943083, + 0.4495124674580159, + 0.41439106139470994, + 0.3715654710759822, + 0.32124690270176837, + 0.2638887589622644, + 0.2001711560259158, + 0.13097919466572655, + 0.05737558756012108, + -0.01943160891662061, + -0.09812528316559536, + -0.17731859746997242, + -0.2555962989316787, + -0.331556901458248, + -0.4038546045715458, + -0.4712398204899208, + -0.5325972156118013, + -0.586980235339553, + -0.6336411705558682, + -0.6720559377592167, + -0.7019428800238616, + -0.7232750491746521, + -0.7362855969999034, + -0.7414660807485344, + -0.7395576710947476, + -0.7315354345855092, + -0.7185860426642788, + -0.7020794311278642, + -0.6835350929626913, + -0.6645838298737954, + -0.6469259098289323, + -0.6322866764594577, + -0.6223707286405191, + -0.6188158331138258, + -0.6231477484112401, + -0.6367371241071892, + -0.6607595958331683, + -0.696160124522871, + -0.7436225297270076, + -0.8035450439168103, + -0.8760225704698027, + -0.9608361660231115, + -1.0574500920620933, + -1.1650165953110982, + -1.282388386280498, + -1.4081385949039875, + -1.5405877962920476, + -1.6778375228506361, + -1.8178095157708423, + -1.9582898232631143, + -2.096976728538748, + -2.2315313905644483, + -2.3596300075686183, + -2.479016269037763, + -2.587552847676581, + -2.683270698949036, + -2.764414982053884, + -2.8294864914587503, + -2.8772775906488364, + -2.9069017670916093, + -2.9178160765172514, + -2.9098359118661565, + -2.8831417136094264, + -2.838277429204827, + -2.776140725564966, + -2.697965154813391, + -2.605294665504168, + -2.499951034202966, + -2.3839949614174936, + -2.259681727196861, + -2.129412431602254, + -1.9956819505170798, + -1.8610248153477589, + -1.7279602741666642, + -1.5989378105765475, + -1.4762843845851086, + -1.3621546173719645, + -1.2584850700587098, + -1.1669536672218652, + -1.0889451913611286, + -1.0255236279076132, + -0.9774119752232355, + -0.944979954449193, + -0.9282398644030475, + -0.9268506316382984, + -0.9401299100316283, + -0.9670738926263607, + -1.0063843156029646, + -1.0565019646136296, + -1.115645841420689, + -1.1818570174985674, + -1.253046094152552, + -1.3270431083325775, + -1.4016486715697734, + -1.4746851075241065, + -1.5440463619513722, + -1.607745497178671, + -1.6639586503832475, + -1.7110644293503459, + -1.7476778385266645, + -1.7726779690626235, + -1.7852288455964236, + -1.7847929957783093, + -1.771137491627224, + -1.7443324001804033, + -1.7047417698469725, + -1.6530074637118535, + -1.5900263271726138, + -1.5169213403719475, + -1.4350075518897718, + -1.3457537154934087, + -1.2507406533466092, + -1.1516174444817933, + -1.0500565847375434, + -0.9477092826507947, + -0.8461620445964727, + -0.7468956621510358, + -0.6512476463126731, + -0.5603790586334106, + -0.47524657095416456, + -0.396580446323574, + -0.3248689773816573, + -0.2603497489832958, + -0.20300791343444488, + -0.15258148394399268, + -0.1085734693903769, + -0.07027049588663158, + -0.03676739239630713, + -0.006997063061834347, + 0.020235168133202967, + 0.04621367076955468, + 0.07227210193744686, + 0.09975156897902458, + 0.12995848711797484, + 0.16412326698009594, + 0.20336094676811822, + 0.24863483495765348, + 0.3007241530497046, + 0.360196566061347, + 0.4273863636168795, + 0.5023789098545223, + 0.5850018195278787, + 0.6748231447076526, + 0.77115667573832, + 0.873074276138222, + 0.9794249885983406, + 1.088860472754503, + 1.1998661694536632, + 1.310797435024571, + 1.4199197564504475, + 1.525452047720869, + 1.625611941860974, + 1.718661934430467, + 1.8029552042118324, + 1.876979936211499, + 1.93940100108941, + 1.989097903082313, + 2.0251979940398726, + 2.0471040623044767, + 2.054515539147661, + 2.047442719064167, + 2.0262135596593307, + 1.9914728079840378, + 1.94417338851147, + 1.8855601788585927, + 1.8171464881066781, + 1.7406837344847084, + 1.6581249897227794, + 1.5715832123065, + 1.4832851272912981, + 1.3955218228665225, + 1.310597220648715, + 1.2307756355196022, + 1.1582296701779646, + 1.0949896886434816, + 1.042896081675172, + 1.003555476136692, + 0.9783019511754075, + 0.9681642087983552, + 0.9738395077891762, + 0.9956750112555794, + 1.0336570232640907, + 1.0874084032461242, + 1.1561942526836753, + 1.2389357717270162, + 1.3342319886542766, + 1.4403888771989561, + 1.5554552003273718, + 1.6772642583475081 + ], + [ + 1.7655961335723434, + 1.8943809624396009, + 2.023486213581046, + 2.1503782752779235, + 2.2725471713954377, + 2.387560941082847, + 2.4931181706535885, + 2.587097460897297, + 2.6676026874507457, + 2.733003013644773, + 2.7819667419512983, + 2.813488238671712, + 2.826907333197091, + 2.82192077395126, + 2.7985855135779834, + 2.7573137913995502, + 2.6988601768839597, + 2.6243009290404085, + 2.5350062086636207, + 2.432605848744824, + 2.318949539079581, + 2.196062410490017, + 2.06609710903133, + 1.931283528566107, + 1.793877419328852, + 1.656109109442705, + 1.5201335654051338, + 1.3879829766907537, + 1.2615229799264371, + 1.1424135413841738, + 1.0320753952820398, + 0.931662792655385, + 0.8420431549555724, + 0.7637840520831369, + 0.6971477406306434, + 0.6420933092876651, + 0.5982862893464233, + 0.5651154037363508, + 0.5417159525809307, + 0.5269991712464825, + 0.5196867522325025, + 0.5183495985868555, + 0.5214497768367756, + 0.5273845641241278, + 0.5345314390727735, + 0.5412928499429964, + 0.5461396071567339, + 0.5476517898835784, + 0.5445561269098189, + 0.5357589086224678, + 0.5203736071284315, + 0.49774252220922344, + 0.46745192838862526, + 0.42934036884935767, + 0.38349992094258645, + 0.33027044104823494, + 0.2702269789266561, + 0.20416072883561467, + 0.13305405208930368, + 0.058050259175323984, + -0.01958102485765209, + -0.09848197370163239, + -0.177247123573348, + -0.2544652955467851, + -0.3287617488285103, + -0.3988394306600429, + -0.46351821096079454, + -0.5217710408366965, + -0.5727560523962334, + -0.6158437209712734, + -0.6506383372291374, + -0.6769931826048771, + -0.6950189633033984, + -0.705085231741516, + -0.7078147053403625, + -0.7040705764672353, + -0.6949370894137809, + -0.6816938359740549, + -0.6657843859957878, + -0.6487800190308083, + -0.6323394540877149, + -0.6181655831393174, + -0.6079602976591196, + -0.6033785538766633, + -0.6059828501499823, + -0.6171992880693653, + -0.6382763575809068, + -0.670247526240401, + -0.7138986250895559, + -0.76974091068729, + -0.8379905472657473, + -0.9185550981201461, + -1.0110274449783951, + -1.1146873724199065, + -1.2285108659035509, + -1.3511869812827673, + -1.4811419555564065, + -1.6165700476996896, + -1.7554704292441594, + -1.895689291052578, + -2.0349661993012758, + -2.17098362339515, + -2.301418474190481, + -2.4239944346433164, + -2.536533838304275, + -2.6370078546832176, + -2.723583774405169, + -2.7946682505193996, + -2.848945443826477, + -2.885409137479633, + -2.9033880265826646, + -2.9025635486618833, + -2.882979796860071, + -2.8450452452187953, + -2.78952620992578, + -2.7175321671736183, + -2.6304932425122844, + -2.530130373545543, + -2.418418822959947, + -2.2975458779108284, + -2.169863710840407, + -2.0378384924753044, + -1.9039969372205923, + -1.7708715222539013, + -1.6409456528379476, + -1.5166000469571976, + -1.4000615823376963, + -1.2933557889716891, + -1.1982640819153196, + -1.1162867145282054, + -1.0486122942888432, + -0.9960945452329493, + -0.9592368267939515, + -0.9381847326404475, + -0.9327268995563839, + -0.9423039602233779, + -0.9660253797274294, + -1.0026937284515585, + -1.050835768283794, + -1.1087395690311428, + -1.1744967314572239, + -1.2460486758398626, + -1.3212358631902015, + -1.3978487524635637, + -1.4736792627090975, + -1.5465715049072393, + -1.614470574243588, + -1.6754682490316453, + -1.7278445259678934, + -1.7701040307337548, + -1.8010064753701895, + -1.8195904859968188, + -1.8251902925029364, + -1.8174449515917719, + -1.7962999615204467, + -1.7620013163871595, + -1.7150822351615294, + -1.6563429811866188, + -1.5868243571338836, + -1.507775614188416, + -1.4206176487979918, + -1.3269024723407155, + -1.2282700258255888, + -1.1264034711479969, + -1.0229841210747248, + -0.9196471713486476, + -0.8179393701370312, + -0.7192797032902908, + -0.6249240900342683, + -0.5359349749697588, + -0.45315657139954985, + -0.3771963613969329, + -0.3084132934879999, + -0.24691294352956392, + -0.19254972277750312, + -0.14493603386082576, + -0.10345809504759233, + -0.06729798037370383, + -0.03546126227529847, + -0.006809498388814599, + 0.019903321175812897, + 0.0459913523552296, + 0.07279556490392146, + 0.10164161273214803, + 0.13379804138515985, + 0.17043595935489275, + 0.21259126307981355, + 0.26113044062087815, + 0.31672088772851525, + 0.3798065546300267, + 0.4505896052706187, + 0.5290186163730903, + 0.6147836754296618, + 0.7073185588471387, + 0.8058099884233847, + 0.9092137807637029, + 1.016277524794416, + 1.1255692517451226, + 1.2355114041874415, + 1.3444192699531514, + 1.4505429266054137, + 1.5521116456889756, + 1.647379635736006, + 1.7346719607989893, + 1.812429458268009, + 1.8792514963253932, + 1.9339354572747722, + 1.9755119071009948, + 2.003274512210454, + 2.016803888942539, + 2.0159847171012486, + 2.001015611869843, + 1.9724114250361766, + 1.9309978321239865, + 1.8778982522111936, + 1.814513337212576, + 1.7424934524980966, + 1.6637047463065036, + 1.58018956712004, + 1.4941221319469158, + 1.407760470704895, + 1.323395769529916, + 1.243300306365398, + 1.1696752138044868, + 1.10459931575164, + 1.049980265672917, + 1.0075091653959538, + 0.9786197657199407, + 0.9644532453367183, + 0.9658294352468392, + 0.9832252050889179, + 1.0167605592274471, + 1.0661928081467122, + 1.1309189891016334, + 1.2099865137393055, + 1.3021118243046879, + 1.4057066488591843, + 1.5189112643340785, + 1.639634008642199, + 1.7655961335723387 + ], + [ + 1.8559111715761096, + 1.9861690845444155, + 2.1150998764426987, + 2.2401764561109183, + 2.358929112566442, + 2.4689989481100283, + 2.5681887260174436, + 2.6545099564505437, + 2.726225135075948, + 2.7818841657619036, + 2.8203541387707323, + 2.8408417956460243, + 2.8429081876005093, + 2.8264752213479807, + 2.79182398041802, + 2.7395849063071958, + 2.670720117567548, + 2.5864983313942416, + 2.488463026916023, + 2.378394647977951, + 2.258267781899943, + 2.130204366155857, + 1.9964240643817408, + 1.859193014468155, + 1.7207721832956857, + 1.5833665642400756, + 1.4490764249555086, + 1.3198517549368098, + 1.1974509764823418, + 1.0834048711322901, + 0.9789865392744608, + 0.8851880567817897, + 0.8027043231367009, + 0.7319244147476396, + 0.6729305695847803, + 0.6255047395258201, + 0.5891424596227574, + 0.5630736035159893, + 0.5462894258832446, + 0.5375751402680388, + 0.5355471476338496, + 0.5386939207889795, + 0.5454194651010768, + 0.5540882187062831, + 0.5630702270618739, + 0.5707854278153847, + 0.5757459124520627, + 0.5765950901858767, + 0.5721427655157023, + 0.5613952515430686, + 0.5435797736914757, + 0.5181625694860017, + 0.4848602556937586, + 0.44364421017720923, + 0.3947378978038591, + 0.33860725307429296, + 0.275944412134285, + 0.2076452589725059, + 0.13478141052157222, + 0.05856740903642079, + -0.019675986108388846, + -0.0985614143075092, + -0.1766763692106793, + -0.2526253779816157, + -0.3250717694382613, + -0.3927779062678683, + -0.45464279549931874, + -0.5097360583302358, + -0.557327333566268, + -0.596910305990788, + -0.6282206889978755, + -0.6512476463126724, + -0.6662383066709057, + -0.6736952036680725, + -0.674366656115129, + -0.6692302875217743, + -0.6594700621315933, + -0.646447384722209, + -0.6316669678451526, + -0.6167383093293208, + -0.6033337411515438, + -0.5931441051486576, + -0.5878331790619731, + -0.5889920162781308, + -0.5980943732719165, + -0.6164543798087229, + -0.6451875588081212, + -0.6851762265180312, + -0.737040201117866, + -0.801113621535777, + -0.8774285312057839, + -0.9657057173052939, + -1.0653531187366074, + -1.1754719301177434, + -1.2948703389247513, + -1.4220846433895624, + -1.5554073145107599, + -1.692921391164366, + -1.8325404371594605, + -1.9720531471766798, + -2.1091715684222425, + -2.241581809559344, + -2.3669960404691412, + -2.483204547402057, + -2.588126599152227, + -2.6798589013277363, + -2.756720467154272, + -2.8172928133583817, + -2.8604544966372027, + -2.885409137479633, + -2.8917062305019186, + -2.8792542103178316, + -2.8483254251641843, + -2.7995528625981168, + -2.7339186679010035, + -2.6527346915841874, + -2.5576154928214856, + -2.4504444060874278, + -2.333333444352708, + -2.2085779598248023, + -2.078607108814854, + -1.9459312677945932, + -1.8130876206245417, + -1.6825851805070027, + -1.556850523383384, + -1.438175491936491, + -1.3286680815107788, + -1.2302076423014212, + -1.1444054279762244, + -1.0725713920352948, + -1.015687982839207, + -0.9743915200279829, + -0.9489615531250435, + -0.939318411920282, + -0.9450289624239034, + -0.9653203865557136, + -0.9991016130503816, + -1.0449918459579872, + -1.10135546999934, + -1.1663424629458772, + -1.2379333177336516, + -1.313987374252714, + -1.3922933851260781, + -1.4706210930852486, + -1.546772580823691, + -1.6186321677890623, + -1.6842136718339256, + -1.741703925822359, + -1.7895015383201125, + -1.8262500108519606, + -1.8508644687717117, + -1.862551424918085, + -1.8608211708597033, + -1.8454925752735254, + -1.8166902582483653, + -1.7748342993510013, + -1.7206228214460864, + -1.6550079669633582, + -1.5791659442430188, + -1.494461964800959, + -1.4024110143282629, + -1.3046354979996393, + -1.2028208718482567, + -1.0986704148735054, + -0.993860310196551, + -0.8899961877117292, + -0.7885722357846252, + -0.6909339168299057, + -0.598245222967324, + -0.5114612859535038, + -0.4313070133511961, + -0.3582622640612685, + -0.29255390495104094, + -0.23415491072095146, + -0.1827904859157335, + -0.13795100574785873, + -0.09891139577229333, + -0.06475640389875559, + -0.03441106595999357, + -0.006675531918608163, + 0.019736692821478958, + 0.0461581247856672, + 0.07392539392786546, + 0.10433717821226207, + 0.1386131147378615, + 0.17785479625193307, + 0.2230099087796117, + 0.27484048580667936, + 0.3338961490101195, + 0.4004930775900399, + 0.47469930103919494, + 0.556326747403159, + 0.6449303048405188, + 0.7398139729866249, + 0.8400439968374126, + 0.9444686942504286, + 1.051744513308855, + 1.1603676921484576, + 1.268710745568693, + 1.3750628736209651, + 1.4776732806976582, + 1.574796312186433, + 1.6647372616292366, + 1.74589767597764, + 1.8168189906913028, + 1.876223360072658, + 1.9230506106193548, + 1.9564903348377518, + 1.976008257742143, + 1.9813661453804092, + 1.9726346808291397, + 1.9501989043606622, + 1.9147559966856684, + 1.8673053728208489, + 1.8091312445535725, + 1.7417779969520326, + 1.6670189042397539, + 1.586818878135128, + 1.5032920932574279, + 1.418655465622155, + 1.3351790682799582, + 1.25513465005744, + 1.180743477035062, + 1.1141247404430132, + 1.057245768391776, + 1.0118752423507618, + 0.9795405533594207, + 0.9614903391422591, + 0.9586631238320967, + 0.9716628397492098, + 1.0007418490678057, + 1.045791906135499, + 1.1063433129915188, + 1.1815723258296211, + 1.270316673513422, + 1.3710988555661976, + 1.4821567010481187, + 1.6014804959401545, + 1.7268558293191982, + 1.8559111715761065 + ], + [ + 1.947445266269284, + 2.0780683754603633, + 2.205716358338458, + 2.327890036756698, + 2.4421808799473155, + 2.5463230389512974, + 2.638242079907506, + 2.71609929016962, + 2.7783305377841154, + 2.8236787958484277, + 2.851219595470242, + 2.8603788407432864, + 2.850942602193755, + 2.823058697062499, + 2.7772300608864517, + 2.7143001103457847, + 2.6354304874883665, + 2.542071755605271, + 2.4359277828361194, + 2.318914697015837, + 2.193115420776661, + 2.060730896477444, + 1.9240291837508534, + 1.7852936566190059, + 1.646771541228475, + 1.5106240190374465, + 1.3788790742393635, + 1.2533881895511687, + 1.1357878931559084, + 1.0274670341487961, + 0.9295405174625838, + 0.8428300656221173, + 0.7678523978977279, + 0.7048150319073426, + 0.6536197230789567, + 0.6138733683412121, + 0.5849060166471812, + 0.5657954550004834, + 0.5553976788342154, + 0.5523824138219234, + 0.5552727359480617, + 0.5624877408616374, + 0.5723871444938748, + 0.583316656279356, + 0.5936529550082814, + 0.6018471155493145, + 0.6064653818731978, + 0.6062262567089433, + 0.6000329788174419, + 0.5870005826709146, + 0.5664768791043683, + 0.5380568555845047, + 0.5015901670470593, + 0.4571815684080711, + 0.4051843232903132, + 0.3461868055777527, + 0.28099268651304654, + 0.21059526573486403, + 0.13614665572855664, + 0.058922661821573664, + -0.019715689253679183, + -0.09836293287975278, + -0.17561116322214385, + -0.2500921127713437, + -0.3205181821828769, + -0.38572131463425086, + -0.4446886641364675, + -0.4965940894903158, + -0.5408246127925308, + -0.5770011108726146, + -0.604992656513565, + -0.6249240900342677, + -0.637176576655676, + -0.6423810866212192, + -0.6414049187046943, + -0.6353315688682486, + -0.6254344198387665, + -0.6131448898355274, + -0.6000158254718212, + -0.5876810512213375, + -0.5778120925219523, + -0.5720731688830979, + -0.5720756051989753, + -0.5793328324629878, + -0.5952171425635921, + -0.6209193258902721, + -0.6574122558990974, + -0.7054193931063963, + -0.765389064402923, + -0.8374752349423767, + -0.9215253325469025, + -1.0170755124510489, + -1.1233535675151058, + -1.2392895002921633, + -1.3635335832049362, + -1.4944815462979126, + -1.6303063532248363, + -1.768995859771, + -1.9083954994550105, + -2.046255011365298, + -2.1802781196249392, + -2.308173994430338, + -2.427709273515533, + -2.53675940149802, + -2.633358053478862, + -2.7157434483652056, + -2.7824004257811623, + -2.832097256531481, + -2.8639162780962444, + -2.877277590648837, + -2.8719552121302874, + -2.848085269035078, + -2.8061659884443264, + -2.747049451889893, + -2.671925268098727, + -2.5822965147613424, + -2.4799484844809365, + -2.366910942472829, + -2.245414759185827, + -2.1178439160048654, + -1.986683993267408, + -1.8544683342694124, + -1.7237231346842516, + -1.5969127325082664, + -1.4763863686516256, + -1.3643276527374186, + -1.262707903427268, + -1.1732444392568442, + -1.0973647768250674, + -1.0361775511528266, + -0.9904508115855046, + -0.9605981697066752, + -0.9466730876813644, + -0.9483714008489936, + -0.9650419719870001, + -0.9957051812534818, + -1.039078770099411, + -1.0936103839314315, + -1.157516001212671, + -1.2288232998097075, + -1.305418898024701, + -1.385098320605937, + -1.4656174811707205, + -1.5447444432661244, + -1.6203102233672118, + -1.6902574303537845, + -1.7526855965576587, + -1.8058921437531879, + -1.8484080412152886, + -1.8790273493068246, + -1.8968299975460545, + -1.9011973168431147, + -1.89182002731267, + -1.868698571235528, + -1.8321358706739468, + -1.782722776229068, + -1.7213166528335324, + -1.6490137158665006, + -1.5671158821385445, + -1.477093031707889, + -1.3805416848467957, + -1.2791411811490268, + -1.1746085027731263, + -1.0686529098637518, + -0.9629315527217255, + -0.8590071924788217, + -0.7583091007846556, + -0.6620981209499497, + -0.5714367603995514, + -0.4871650500681864, + -0.40988275395723, + -0.3399383453478171, + -0.2774249893742534, + -0.222183589288095, + -0.17381277040909157, + -0.13168549610368857, + -0.09497183869775233, + -0.06266726934884136, + -0.03362568858643915, + -0.006596297068173467, + 0.019736692821478958, + 0.04671257709064056, + 0.07565203014448277, + 0.10781545971564849, + 0.14436296947667032, + 0.18631701095400596, + 0.23452873741040453, + 0.2896489773289231, + 0.3521046264121807, + 0.4220811175963862, + 0.49951147198664425, + 0.5840722637991436, + 0.6751866536341288, + 0.7720344612181484, + 0.8735690657781664, + 0.9785407440772713, + 1.0855258873698301, + 1.1929613834122221, + 1.2991833121464595, + 1.402468987274594, + 1.5010812836549352, + 1.5933141246697504, + 1.6775379661711936, + 1.7522441053363136, + 1.8160866640511264, + 1.8679211468562391, + 1.9068385518513125, + 1.9321941174012918, + 1.9436299154858554, + 1.941090650964384, + 1.9248321912543112, + 1.8954225288769757, + 1.853735065621031, + 1.800934297101496, + 1.7384541655408166, + 1.6679695319686618, + 1.5913613921625145, + 1.510676619206564, + 1.4280831555603242, + 1.3458216954783584, + 1.2661549915244619, + 1.1913159844083394, + 1.1234559917411295, + 1.0645941975766784, + 1.016569660536762, + 0.9809970044170415, + 0.9592268726793345, + 0.9523121191036479, + 0.9609805737095322, + 0.9856150690637305, + 1.026241240991412, + 1.082523433648058, + 1.1537688463592124, + 1.2389398632804876, + 1.3366743115546262, + 1.445313204010084, + 1.5629353431855177, + 1.6873979989548182, + 1.8163827262871188, + 1.9474452662692792 + ], + [ + 2.039423997791107, + 2.169301325601386, + 2.294569002827055, + 2.4127769206321474, + 2.521598125914156, + 2.6188790168085836, + 2.702685549250357, + 2.771344388421768, + 2.823478060290369, + 2.858033302421526, + 2.8743019763193693, + 2.871934081721359, + 2.8509426021937556, + 2.8117001064362652, + 2.7549272261463402, + 2.6816733243306508, + 2.593289852885627, + 2.4913970706079294, + 2.377844948361299, + 2.2546692231586096, + 2.1240436741666224, + 1.9882297784453629, + 1.8495249605878663, + 1.7102106770259093, + 1.5725015720447806, + 1.4384969086836086, + 1.310135414608425, + 1.1891545923721036, + 1.0770554275349498, + 0.9750732898467385, + 0.8841556655655234, + 0.8049471869487878, + 0.737782242296851, + 0.6826852612082107, + 0.6393785796128726, + 0.6072976023973184, + 0.5856128026442816, + 0.5732579300946221, + 0.5689636514923456, + 0.5712957156735017, + 0.5786966297720696, + 0.5895297523201853, + 0.6021246562444926, + 0.6148225910354563, + 0.626020879194727, + 0.634215117210979, + 0.6380381148081141, + 0.6362945963757373, + 0.6279908029900363, + 0.61235826931812, + 0.5888712034942553, + 0.5572570658420718, + 0.5175001198281051, + 0.46983791136558434, + 0.4147508159152705, + 0.3529449721146476, + 0.28532909137732604, + 0.21298579073058582, + 0.13713823711802528, + 0.059113011931466466, + -0.019699798386948065, + -0.09788820866105585, + -0.17406051773241585, + -0.2468869324859638, + -0.31513951247105965, + -0.37772935771755517, + -0.43374003332786715, + -0.4824563213201307, + -0.5233875105603357, + -0.5562845764164668, + -0.5811507594418307, + -0.5982452229673234, + -0.6080796486442245, + -0.6114078122009756, + -0.6092083643229071, + -0.6026612190058162, + -0.5931181194704018, + -0.5820681054903064, + -0.5710987418625767, + -0.5618540822590146, + -0.5559904328950277, + -0.5551310439981548, + -0.5608208922753904, + -0.5744827234971411, + -0.597375500698764, + -0.6305563508497526, + -0.6748470223847058, + -0.7308057596560212, + -0.7987053707333253, + -0.8785181152038518, + -0.9699078723957221, + -1.0722298718453744, + -1.184538081271722, + -1.3056001574217038, + -1.433919676627023, + -1.5677651794492329, + -1.7052053919389123, + -1.844149829091081, + -1.9823938479789738, + -2.117667102270671, + -2.247684259310109, + -2.370196777990816, + -2.4830445119050255, + -2.5842058986317054, + -2.6718455227131055, + -2.7443578962897446, + -2.800406386215543, + -2.8389563277503664, + -2.8593014999659836, + -2.8610832935529995, + -2.8443020740206317, + -2.809320428160985, + -2.7568581746125096, + -2.687979215706786, + -2.6040705027336113, + -2.506813575554651, + -2.39814931552592, + -2.2802367136032498, + -2.155406599319485, + -2.0261113975193568, + -1.8948720753512953, + -1.7642235097048344, + -1.6366595433886786, + -1.514579005934987, + -1.400233951802158, + -1.295681315496133, + -1.2027391010410795, + -1.1229481143118656, + -1.0575401136567248, + -1.0074131002430713, + -0.9731142984164928, + -0.9548311922543088, + -0.9523907919161106, + -0.9652671070437202, + -0.99259660912878, + -1.0332012752042636, + -1.085618626036009, + -1.148138007540492, + -1.218842218416786, + -1.2956534634698649, + -1.3763825137835284, + -1.4587798841153137, + -1.5405877962920504, + -1.6195916859224542, + -1.6936700286075703, + -1.7608413104692997, + -1.8193070449477253, + -1.867489841454929, + -1.9040656589834322, + -1.9279895259329978, + -1.9385141725201478, + -1.9352012000387477, + -1.9179245975091013, + -1.886866606251108, + -1.842506121926852, + -1.785600006937392, + -1.7171578591963674, + -1.6384109419727557, + -1.550776119798583, + -1.4558157639427058, + -1.355194684776988, + -1.2506352152457436, + -1.143871608008823, + -1.0366049177941943, + -0.9304595199339082, + -0.826942366572283, + -0.7274060049534473, + -0.6330162795319138, + -0.5447255140552415, + -0.46325182446357394, + -0.3890650521467126, + -0.32237963390056246, + -0.263154544229333, + -0.21110026202740118, + -0.16569253179322616, + -0.12619251397508044, + -0.0916727542594909, + -0.06104825174759759, + -0.03311177480260279, + -0.006572464200199389, + 0.019903321175812914, + 0.047650018352757104, + 0.07796086543006905, + 0.11204702940684762, + 0.15099895922865705, + 0.1957510092955361, + 0.24705029446964372, + 0.3054306286484092, + 0.37119226797644733, + 0.44438803006191263, + 0.5248161959191159, + 0.6120204259373448, + 0.7052967394085435, + 0.8037074236313334, + 0.9061015579921328, + 1.0111416652849177, + 1.117335841266539, + 1.2230745681595114, + 1.3266712922184996, + 1.42640574279112, + 1.5205688931799841, + 1.6075084140659088, + 1.685673449609067, + 1.7536575552108429, + 1.8102386741622376, + 1.8544150971567412, + 1.8854364423238625, + 1.9028288117852898, + 1.9064134208684522, + 1.8963181546020917, + 1.8729816790694391, + 1.837149918341968, + 1.789864896531357, + 1.7324461342997681, + 1.6664649752431158, + 1.593712395274951, + 1.5161610130539842, + 1.4359221674861122, + 1.355199055674079, + 1.2762370281686164, + 1.2012722153615087, + 1.132479707372282, + 1.0719225285320702, + 1.0215026360109702, + 0.9829151304652, + 0.9576067957372376, + 0.9467399862862992, + 0.9511627574988261, + 0.9713859882944031, + 1.0075680810169454, + 1.0595076444654514, + 1.1266443764211629, + 1.208068166777204, + 1.3025362461282797, + 1.4084980122179167, + 1.5241269826661368, + 1.6473591514061465, + 1.775936872424433, + 1.9074572614862288, + 2.039423997791102 + ], + [ + 2.1310691844520524, + 2.2590960629259107, + 2.3809060763298353, + 2.494118926287927, + 2.596508944629371, + 2.686053025277259, + 2.760973913134354, + 2.819777852677083, + 2.86128573412482, + 2.8846570308099975, + 2.889405993931235, + 2.875409756012763, + 2.8429081876005102, + 2.7924955482857983, + 2.725104168271735, + 2.6419805856352703, + 2.5446547425969235, + 2.4349030071678506, + 2.314705930554, + 2.186201772186511, + 2.0516369203014695, + 1.913314404325297, + 1.7735417343342836, + 1.6345793116716583, + 1.4985906332914414, + 1.3675954611700452, + 1.2434270485300303, + 1.1276944086977845, + 1.0217504828553623, + 0.9266669130113521, + 0.8432159599672079, + 0.7718599270575758, + 0.7127482634573541, + 0.6657223305241942, + 0.630327625704441, + 0.6058330756495923, + 0.591256837884698, + 0.5853978928823003, + 0.5868725695902741, + 0.5941550307307419, + 0.6056206523646896, + 0.6195911675110342, + 0.6343804075471423, + 0.648339468509949, + 0.6599001523359408, + 0.6676155848596329, + 0.670196991649358, + 0.6665457174265988, + 0.6557797021899257, + 0.637253773981165, + 0.6105732807432508, + 0.5756007577917299, + 0.5324555086370327, + 0.4815061606612678, + 0.4233564388222368, + 0.35882457553797015, + 0.2889169387797263, + 0.21479660903648262, + 0.1377477654627276, + 0.059136848918035105, + -0.019628447952118742, + -0.09714125803312375, + -0.17203755190401349, + -0.24303695440105105, + -0.30898126628244743, + -0.36886965108969827, + -0.42188953344447083, + -0.46744236573581355, + -0.5051635526449463, + -0.5349359738781823, + -0.5568967110204809, + -0.5714367603995508, + -0.5791936958140381, + -0.5810374283245034, + -0.5780493903889441, + -0.5714956438778149, + -0.562794571550908, + -0.5534799553445114, + -0.5451603686298832, + -0.5394759102866097, + -0.538053383385627, + -0.5424610685367537, + -0.5541642602553681, + -0.5744827234971409, + -0.6045511869909398, + -0.6452839210952032, + -0.6973443522511559, + -0.7611205460184347, + -0.8367072490817167, + -0.9238950209810748, + -1.0221668125717724, + -1.1307021646501618, + -1.248389011333767, + -1.373842883341134, + -1.50543312099059, + -1.6413155301458406, + -1.7794707508932661, + -1.9177474625366024, + -2.0539094232182036, + -2.185685241289399, + -2.31081970103439, + -2.4271254194262273, + -2.532533594481364, + -2.625142619967577, + -2.703263385449458, + -2.765460153923727, + -2.8105860098843487, + -2.837811996168761, + -2.846649205357614, + -2.8369632572735566, + -2.8089807742345476, + -2.763287655790639, + -2.7008191500857914, + -2.622841914976492, + -2.5309284538252768, + -2.4269244937862213, + -2.312910043940342, + -2.1911550226754626, + -2.0640704745153076, + -1.9341565029841032, + -1.8039481254374525, + -1.675960306152925, + -1.5526334441169067, + -1.4362805813704107, + -1.3290375567408892, + -1.2328172592885174, + -1.1492690375565928, + -1.0797441971348654, + -1.0252683731424668, + -0.9865213995767871, + -0.9638251180784427, + -0.9571393789097172, + -0.9660662914641651, + -0.9898625851846596, + -1.027459749150408, + -1.0774914344860589, + -1.1383274326194261, + -1.2081133884154038, + -1.2848152740637078, + -1.36626754050079, + -1.4502237807094118, + -1.5344086854122665, + -1.616570047699687, + -1.6945295795126012, + -1.7662313393967433, + -1.8297866365702604, + -1.8835143694041965, + -1.9259758745317508, + -1.9560035029928655, + -1.9727222985605857, + -1.975564326711407, + -1.964275386266217, + -1.938914024972683, + -1.8998429705229034, + -1.847713274988889, + -1.7834416488022202, + -1.7081816258106373, + -1.6232893495470762, + -1.5302848990063576, + -1.4308101768187762, + -1.326584461209078, + -1.2193587736604286, + -1.1108702355936562, + -1.002797579179624, + -0.8967189399242462, + -0.7940729929287818, + -0.6961244024655425, + -0.6039344381138778, + -0.5183374731654441, + -0.4399239258491395, + -0.3690300350970783, + -0.3057346843637557, + -0.24986330393965545, + -0.20099869890275832, + -0.15849847096127737, + -0.12151853247644508, + -0.0890420542047093, + -0.05991304871654463, + -0.032873672551644396, + -0.006604234951533474, + 0.02023516813320294, + 0.048962517394742305, + 0.08083236599334835, + 0.11699608629146459, + 0.1584649405177003, + 0.20607697538162117, + 0.26046864191853863, + 0.3220519198536958, + 0.39099758361802944, + 0.46722508841316773, + 0.550399383421623, + 0.6399347797193857, + 0.7350058172131424, + 0.8345648926319853, + 0.9373662338740608, + 1.0419956393278658, + 1.1469052483948476, + 1.2504524752209918, + 1.3509421250349505, + 1.4466706243873684, + 1.535971235277979, + 1.6172590902636284, + 1.6890748820716242, + 1.7501260671756969, + 1.799324497665342, + 1.83581947826618, + 1.8590253535681727, + 1.868642861763211, + 1.864673642275054, + 1.8474274518725438, + 1.8175218230702324, + 1.7758740854094224, + 1.7236858599487268, + 1.662420325264215, + 1.5937727347858701, + 1.5196348358490661, + 1.4420539961499805, + 1.363187979462103, + 1.285256426064161, + 1.21049018146579, + 1.1410796774372283, + 1.0791236004767117, + 1.0265790838257909, + 0.9852146298558867, + 0.9565669107303439, + 0.9419025080609711, + 0.9421855388895786, + 0.958051978447062, + 0.989791333070818, + 1.0373361431938788, + 1.1002596106633131, + 1.1777814513139984, + 1.2687818774240347, + 1.3718234201964117, + 1.4851801144950865, + 1.6068733913032842, + 1.7347138620902498, + 1.866348037415148, + 1.9993089031370468, + 2.1310691844520493 + ], + [ + 2.2216054665030547, + 2.3466928833235943, + 2.4639971281369997, + 2.5712278635485157, + 2.6662795566691027, + 2.747276741849097, + 2.8126140256252556, + 2.860989913911575, + 2.891433689258663, + 2.9033247322243043, + 2.896403861482197, + 2.8707764578402313, + 2.8269073331970915, + 2.7656075018632125, + 2.6880132038273414, + 2.5955577127901766, + 2.489936631662934, + 2.3730675306255904, + 2.2470449140756013, + 2.1140916097166347, + 1.9765077530833273, + 1.8366185920818905, + 1.6967223574670087, + 1.5590394361307283, + 1.4256640449553915, + 1.2985195348259921, + 1.1793183589670824, + 1.0695276194931391, + 0.970340963974902, + 0.8826574434947941, + 0.8070677691024225, + 0.7438482191393166, + 0.6929622601682242, + 0.6540697539246932, + 0.6265434365193302, + 0.6094921786570255, + 0.6017903712763422, + 0.6021126337849396, + 0.608972915577017, + 0.6207669588443048, + 0.6358170143115289, + 0.6524176532587272, + 0.6688815001499097, + 0.6835837207528437, + 0.6950041404506019, + 0.7017659354250881, + 0.7026699337467983, + 0.6967236816886492, + 0.6831645697552617, + 0.6614764694252562, + 0.6313995014575288, + 0.5929327354989694, + 0.5463298041171296, + 0.4920875976261383, + 0.4309283845473311, + 0.36377587174220893, + 0.29172587390770344, + 0.21601240031028213, + 0.13797008387705267, + 0.05899397110958686, + -0.019502241606156306, + -0.09612840053626774, + -0.16955938094324746, + -0.23857475107333825, + -0.30209554516643333, + -0.35921715187781467, + -0.4092374250777027, + -0.4516792475954998, + -0.4863069219767593, + -0.5131359220955878, + -0.5324357114742394, + -0.544725514055241, + -0.5507631063970997, + -0.5515268821821497, + -0.5481916159218835, + -0.5420985183524077, + -0.5347203270172461, + -0.5276223080846584, + -0.5224201561485369, + -0.5207358647652452, + -0.5241526995492054, + -0.534170436224526, + -0.5521620272579576, + -0.5793328324629873, + -0.6166834918870537, + -0.6649774347180459, + -0.7247139079076225, + -0.796107275383413, + -0.8790731863612281, + -0.9732220431178864, + -1.0778600187937297, + -1.1919976888092758, + -1.31436614994004, + -1.4434403137089977, + -1.577468880196119, + -1.714510329138938, + -1.852474111545685, + -1.9891660908253141, + -2.1223371710450163, + -2.2497339641868255, + -2.369150290391681, + -2.4784782766695233, + -2.575757821211892, + -2.6592232223190564, + -2.727345832352427, + -2.7788716866186887, + -2.8128531725650086, + -2.828673943349661, + -2.8260664384087497, + -2.8051215482318694, + -2.7662901469512957, + -2.710376410008355, + -2.6385230303696168, + -2.5521886407381467, + -2.453117936204642, + -2.3433051672380274, + -2.2249518325330273, + -2.100419541104641, + -1.9721791297191955, + -1.8427572124169358, + -1.7146814012856972, + -1.590425470255288, + -1.47235573569101, + -1.362679898916795, + -1.2633995371867655, + -1.1762673424763979, + -1.10275009390636, + -1.0439982124151523, + -1.000822588810173, + -0.9736792023952112, + -0.9626618612404169, + -0.9675032013693298, + -0.9875838854111176, + -1.0219497463971619, + -1.069336434111551, + -1.1282009443098184, + -1.196759249494966, + -1.2730291076948035, + -1.354877006249523, + -1.440068103857567, + -1.5263179682706123, + -1.6113448706154005, + -1.6929213911643692, + -1.7689241155470181, + -1.837380254211094, + -1.896510099999744, + -1.9447643469080247, + -1.9808554246785992, + -2.003782155581126, + -2.0128472076913475, + -2.007666999049987, + -1.988173894753825, + -1.954610729649249, + -1.907517878137304, + -1.8477132749888887, + -1.7762659625100437, + -1.694463895672577, + -1.6037768741039773, + -1.5058155847621482, + -1.4022878289183258, + -1.2949530695807248, + -1.1855764692416444, + -1.0758835920715417, + -0.9675169194027144, + -0.8619952732674079, + -0.7606771613228954, + -0.6647289498330754, + -0.5750986422339218, + -0.4924958924968114, + -0.41737871880315025, + -0.3499472081185157, + -0.290144320542404, + -0.23766371841242337, + -0.19196436370921025, + -0.15229145292323312, + -0.11770309560626173, + -0.08710199544627581, + -0.05927126458701042, + -0.03291339628634958, + -0.006691340527243021, + 0.020729426118227142, + 0.050638969880788386, + 0.08424223764018651, + 0.12262075910878302, + 0.16669774776369964, + 0.21720754686661992, + 0.2746702544658033, + 0.33937222729997013, + 0.41135301140459163, + 0.49039908080261313, + 0.5760445891513697, + 0.6675791570808813, + 0.7640625348061874, + 0.8643458000691947, + 0.9670985801185698, + 1.0708416276241297, + 1.1739839381901407, + 1.2748634751142787, + 1.371790468367508, + 1.463092181995071, + 1.5471579991651319, + 1.6224836581300468, + 1.6877134859010663, + 1.741679519217669, + 1.7834364734323243, + 1.8122916175349826, + 1.8278287353462697, + 1.8299254959415598, + 1.818763717120016, + 1.7948321802441267, + 1.7589218387343148, + 1.7121134513535783, + 1.6557578604689849, + 1.5914493200263178, + 1.5209924534169608, + 1.446363583364212, + 1.3696673203473022, + 1.2930894192778146, + 1.2188470130264715, + 1.1491374034437574, + 1.0860866338598942, + 1.0316990805298782, + 0.9878092836826495, + 0.9560371920640026, + 0.9377479191938561, + 0.9340170067682545, + 0.9456020631750605, + 0.972921496021726, + 1.016040890493455, + 1.074667404318312, + 1.148152359510498, + 1.2355020155331808, + 1.3353963128343644, + 1.4462151846394804, + 1.5660718531018234, + 1.692852357861279, + 1.8242604148569828, + 1.957866574559644, + 2.091160544787865, + 2.2216054665030502 + ], + [ + 2.3102668660298207, + 2.431350678055853, + 2.5431391703511235, + 2.6434513559124913, + 2.7303196710839264, + 2.8020321861778488, + 2.8571689880039686, + 2.894631899438526, + 2.9136668603493585, + 2.913878469463248, + 2.8952363738462017, + 2.8580733870028965, + 2.8030754134522233, + 2.7312634522082235, + 2.6439681391562138, + 2.542797464306228, + 2.4295984600623917, + 2.306413797093572, + 2.175434341742473, + 2.0389488203537023, + 1.8992917992632028, + 1.7587912229919798, + 1.6197167566755089, + 1.4842301519323855, + 1.3543387989736115, + 1.2318535432455329, + 1.1183517344427971, + 1.0151463421156208, + 0.9232618186863782, + 0.8434172213236937, + 0.7760169230231321, + 0.7211490549184415, + 0.6785916309705559, + 0.6478261174805908, + 0.6280580280104118, + 0.6182439537524121, + 0.6171242843602412, + 0.623260738530995, + 0.6350777105250024, + 0.6509063510603105, + 0.6690302407265075, + 0.6877314826396799, + 0.7053360391974526, + 0.7202571654419543, + 0.7310358479145246, + 0.736377241488346, + 0.7351822053161119, + 0.7265731699285468, + 0.7099137173146436, + 0.6848214206860418, + 0.651173666385871, + 0.609106362589578, + 0.5590056234504419, + 0.5014926985153165, + 0.43740259100337364, + 0.3677569705209881, + 0.29373213189901715, + 0.21662287840765598, + 0.13780331144661503, + 0.05868558731703414, + -0.019322247111856622, + -0.09485820540323456, + -0.1666469712978311, + -0.23353807476214858, + -0.29454060543948435, + -0.34885352459304275, + -0.39589075078949215, + -0.4353003300115491, + -0.4669771541839532, + -0.4910688593713998, + -0.5079747119279998, + -0.5183374731654435, + -0.5230284160448693, + -0.5231258463479577, + -0.5198876512045131, + -0.5147185554138952, + -0.5091329066819116, + -0.5047139311072883, + -0.5030704969061937, + -0.5057924949600023, + -0.5144059874611521, + -0.530329289562388, + -0.5548311330803382, + -0.58899201627813, + -0.6336697705977521, + -0.6894702756816151, + -0.7567241305283825, + -0.835469944188853, + -0.9254447475716634, + -1.026081852686277, + -1.136516301335485, + -1.255597856451779, + -1.3819113006429364, + -1.5138036227711762, + -1.6494174991241781, + -1.7867303153080076, + -1.923597832430652, + -2.0578014800445854, + -2.1870981617488776, + -2.30927138978486, + -2.422182524201127, + -2.5238208813109932, + -2.612351495579278, + -2.6861593683686014, + -2.7438891150237796, + -2.784479026739242, + -2.8071886930353425, + -2.811619481354932, + -2.797727338641589, + -2.765827561694973, + -2.716591374195422, + -2.65103434389607, + -2.570496868826098, + -2.4766171516627873, + -2.371297262060439, + -2.256663053250856, + -2.135018847574026, + -2.008797932123149, + -1.880510007289446, + -1.7526868051747042, + -1.62782713977602, + -1.5083426654285723, + -1.396505603850361, + -1.2943996536523859, + -1.2038752204867673, + -1.1265100029451347, + -1.0635758414037313, + -1.0160125873587027, + -0.9844095830571378, + -0.9689951594976622, + -0.9696343695816441, + -0.9858349770054534, + -1.0167615251753541, + -1.0612571187777582, + -1.117872368308021, + -1.1849007792761177, + -1.2604197170511535, + -1.3423359490188793, + -1.4284346610166336, + -1.516430767379062, + -1.6040212852073377, + -1.6889375247838763, + -1.7689958597709974, + -1.842145882586931, + -1.906514821036032, + -1.960447190064416, + -2.0025387749335963, + -2.0316641860679385, + -2.0469973877272296, + -2.0480247784373096, + -2.0345505864012803, + -2.006694533305561, + -1.9648819103143955, + -1.909826395902956, + -1.842506121926852, + -1.764133657613931, + -1.6761207269864986, + -1.58003860001521, + -1.4775751985369603, + -1.3704900322111022, + -1.2605681257784715, + -1.1495741155714416, + -1.039207680278324, + -0.9310614288098594, + -0.8265822978959486, + -0.7270374156018062, + -0.6334852667919211, + -0.5467528557735365, + -0.4674194035152489, + -0.39580694597904487, + -0.3319780205623411, + -0.27574044396915603, + -0.22665900166157632, + -0.18407369101057783, + -0.14712399186040304, + -0.11477848368695699, + -0.08586899175917394, + -0.05912832914314143, + -0.03323060992594753, + -0.006833043974741775, + 0.021381913484677773, + 0.05266519226425999, + 0.08816163131346674, + 0.12887346058157317, + 0.17562772769196622, + 0.2290485540791283, + 0.2895349800429806, + 0.35724501334870284, + 0.4320863352061235, + 0.5137139447682829, + 0.6015348430632947, + 0.6947196740801297, + 0.7922210592085267, + 0.8927981859900282, + 0.9950470476223815, + 1.0974355800597646, + 1.1983428126835036, + 1.2961010397341715, + 1.389039935797596, + 1.4755314818060274, + 1.5540345397568884, + 1.623137915456869, + 1.681600779125035, + 1.728389372954591, + 1.7627090213376087, + 1.7840305713114133, + 1.792110525164942, + 1.7870042807549957, + 1.769072064144642, + 1.7389773195144493, + 1.697677508445964, + 1.6464074599905647, + 1.5866555997054996, + 1.5201335654051344, + 1.4487398852502218, + 1.3745185457720523, + 1.2996134096786063, + 1.2262195524723667, + 1.1565326702459109, + 1.092697766367053, + 1.0367583506628064, + 0.9906073804303723, + 0.9559411381553914, + 0.9342171769619873, + 0.9266173730398259, + 0.9340170067682542, + 0.9569606538012931, + 0.9956455073756026, + 1.049912577428458, + 1.119246025028544, + 1.202780696680028, + 1.299317726986563, + 1.4073478847412466, + 1.525082151467617, + 1.6504888473255857, + 1.781336461377114, + 1.9152412053496612, + 2.0497181956210397, + 2.1822350799869756, + 2.3102668660298176 + ], + [ + 2.3963032674726192, + 2.5123532038711684, + 2.6176626254828976, + 2.7101783599529568, + 2.788087479527416, + 2.849856102427374, + 2.8942618451274207, + 2.9204191828372084, + 2.9277971447088564, + 2.9162289531341665, + 2.885913408496945, + 2.8374080172282454, + 2.771614057191011, + 2.6897539655217706, + 2.593341615436086, + 2.4841462157598837, + 2.364150716030367, + 2.2355057273186305, + 2.1004800714007033, + 1.961409146098219, + 1.8206423407510257, + 1.6804907518153451, + 1.543176434187906, + 1.410784379472529, + 1.2852183392021495, + 1.1681615108841439, + 1.0610429801883614, + 0.9650106667796429, + 0.8809113578624811, + 0.8092782365340153, + 0.7503261259378308, + 0.7039544795957479, + 0.669757957890145, + 0.6470442451814817, + 0.634858586048311, + 0.6320143569582218, + 0.6371288452930327, + 0.6486632845846916, + 0.6649660960564201, + 0.6843182144823858, + 0.7049793326849985, + 0.7252338846776445, + 0.7434356027935619, + 0.7580495286402934, + 0.7676904301780305, + 0.7711566757383221, + 0.7674587378278566, + 0.7558416419687347, + 0.735800834975596, + 0.7070911189121445, + 0.6697284771450751, + 0.6239848028597192, + 0.5703757234695379, + 0.509641891919425, + 0.4427242834741354, + 0.3707341899771721, + 0.2949187389032189, + 0.21662287840765598, + 0.13724885914164164, + 0.0582143066068072, + -0.019089987304089905, + -0.09334141905961937, + -0.16332496327124496, + -0.22796953802819597, + -0.28638036531033845, + -0.33786645021180645, + -0.3819624294837543, + -0.41844418603826616, + -0.447337787848872, + -0.46892148304172493, + -0.4837206635066481, + -0.4924958924968109, + -0.49622427278781306, + -0.4960746064366955, + -0.49337696058603253, + -0.4895874019383076, + -0.48624879169938073, + -0.4849486396477852, + -0.48727509777586403, + -0.49477222854138286, + -0.5088957087161682, + -0.5309701263892401, + -0.5621489958794681, + -0.6033785538766622, + -0.6553663115187665, + -0.7185552234682219, + -0.7931041991452782, + -0.8788755264448496, + -0.9754296083218182, + -1.0820272317779616, + -1.1976394015044733, + -1.3209645813800222, + -1.4504530009029806, + -1.5843375050932529, + -1.7206702599015147, + -1.8573644748901539, + -1.9922401746856302, + -2.1230729437437637, + -2.2476444880437607, + -2.36379380452195, + -2.4694677257673403, + -2.5627696143976073, + -2.6420050185395514, + -2.7057231661318872, + -2.752753269806197, + -2.7822347336506175, + -2.7936404953553775, + -2.7867928986502815, + -2.7618716676637467, + -2.719413742569696, + -2.660304930073391, + -2.5857635181856766, + -2.497316197564084, + -2.39676681674447, + -2.2861586713202047, + -2.1677311833150297, + -2.043871962811231, + -1.91706535600222, + -1.7898386694825517, + -1.664707317660002, + -1.5441201672627816, + -1.4304063493445043, + -1.3257247750328955, + -1.2320175273492837, + -1.1509682092952283, + -1.0839662103026144, + -1.0320777119514246, + -0.9960240930171302, + -0.9761682173390022, + -0.9725089000066066, + -0.9846836525264622, + -1.0119796107009862, + -1.053352354721437, + -1.1074521441693257, + -1.1726569157737552, + -1.2471112331241743, + -1.3287702389257838, + -1.4154475451483366, + -1.5048659073205026, + -1.5947094683773835, + -1.6826763262971633, + -1.7665301789523522, + -1.8441498290910816, + -1.9135753913499656, + -1.97305013015248, + -2.021056970050473, + -2.0563488556765885, + -2.0779722935872034, + -2.085283579012106, + -2.0779573926319284, + -2.055987641451331, + -2.0196806089385984, + -1.9696406681319332, + -1.906748992714946, + -1.8321358706739466, + -1.7471473789032306, + -1.6533073112598649, + -1.552275363821249, + -1.4458026667771702, + -1.3356858104459153, + -1.2237205419862505, + -1.1116563088531204, + -1.0011527950238026, + -0.8937395373477721, + -0.7907796236060649, + -0.693438363236463, + -0.6026576890385356, + -0.5191368969127915, + -0.44332016466478114, + -0.37539111433624706, + -0.31527449988642986, + -0.2626449179576499, + -0.21694225857051422, + -0.17739343946846148, + -0.14303980683168135, + -0.1127694402587702, + -0.08535347491253678, + -0.05948545168347185, + -0.03382262969950644, + -0.0070281464187424035, + 0.02218710989418097, + 0.05502404178691685, + 0.09255738716916723, + 0.13570129002599746, + 0.18517932863144485, + 0.24149981674001153, + 0.30493705634532714, + 0.37551906614239927, + 0.453022141721328, + 0.5369724260109312, + 0.6266544860748315, + 0.7211267096620935, + 0.819243156561839, + 0.9196813303347446, + 1.0209751797035964, + 1.121552499763264, + 1.219775784774206, + 1.3139854896738785, + 1.4025445890252828, + 1.4838832817149894, + 1.556542678408173, + 1.6192163269310553, + 1.6707884780088869, + 1.710368069037708, + 1.7373175050051957, + 1.7512754408347933, + 1.7521729152449976, + 1.7402423491060683, + 1.716019097218818, + 1.6803354270798974, + 1.6343069869527953, + 1.5793120137396124, + 1.5169637140534602, + 1.4490764249555077, + 1.3776263197070044, + 1.304707564600845, + 1.2324849519278847, + 1.1631441283778932, + 1.098840605259965, + 1.0416487751045551, + 0.9935121674431151, + 0.956196154555242, + 0.9312442661756775, + 0.9199391917512665, + 0.9232694417253461, + 0.9419025080609703, + 0.9761652119517615, + 1.0260317570899058, + 1.091119824077244, + 1.1706948500213108, + 1.2636824417198618, + 1.3686886758783103, + 1.4840278502878912, + 1.60775707045377, + 1.7377168911961145, + 1.8715770862955325, + 2.00688649491144, + 2.1411257943218525, + 2.2717619769548962, + 2.396303267472615 + ], + [ + 2.478986763943324, + 2.589015142747078, + 2.686936991379656, + 2.7708443350214127, + 2.8390942401999038, + 2.8903438786256315, + 2.9235787746396373, + 2.9381335920211904, + 2.933704993737447, + 2.9103562970815986, + 2.868513841939971, + 2.80895518689576, + 2.732789441723854, + 2.6414302308444797, + 2.536561955966397, + 2.4201001832538385, + 2.2941471170968155, + 2.1609432356573337, + 2.0228162500945803, + 1.8821286076814931, + 1.7412247875551001, + 1.602379635969513, + 1.4677489557673407, + 1.339323503220766, + 1.2188874560080363, + 1.1079823011565757, + 1.0078769541972752, + 0.9195447639852062, + 0.8436478855655876, + 0.7805293203851507, + 0.7302127336150814, + 0.6924099670590996, + 0.666535977798535, + 0.6517307520208175, + 0.646887574834739, + 0.650686884432155, + 0.6616348064370564, + 0.6781053549116288, + 0.698385202905022, + 0.7207198696269358, + 0.7433601446018832, + 0.7646075720813453, + 0.7828578513899656, + 0.7966410698539595, + 0.8046577728887829, + 0.805809988423384, + 0.7992264572116818, + 0.7842814732916182, + 0.7606069060086493, + 0.7280971523794181, + 0.6869069516399684, + 0.6374421779721369, + 0.5803439079832259, + 0.5164662319747115, + 0.4468484380332197, + 0.3726823414869541, + 0.2952756556881072, + 0.21601240031028213, + 0.1363114178795251, + 0.0575841162269715, + -0.018807427205928623, + -0.09159087420424297, + -0.15962146255461976, + -0.22191625321204186, + -0.27768386410303986, + -0.32634888435507886, + -0.36757030106137456, + -0.4012534262811573, + -0.4275549808976273, + -0.44688116993211424, + -0.45987876643491377, + -0.4674194035152484, + -0.47057745180690197, + -0.47060202817884134, + -0.46888383650529813, + -0.46691767885602764, + -0.4662615920375862, + -0.46849365701579515, + -0.47516759498169076, + -0.48776830195001725, + -0.5076684827658666, + -0.5360875249355449, + -0.5740537032246961, + -0.6223707286405178, + -0.681589552096106, + -0.7519862062585024, + -0.833546321915638, + -0.9259567912842674, + -1.0286048740713338, + -1.1405848571702517, + -1.2607121902147393, + -1.387544831522324, + -1.5194113569204994, + -1.65444521211383, + -1.7906243319297108, + -1.9258152109329816, + -2.057820393034128, + -2.184428255804271, + -2.303463900611679, + -2.4128399240977476, + -2.5106058408882728, + -2.59499495202295, + -2.6644675078700932, + -2.717749097027117, + -2.7538633019391434, + -2.772157795087899, + -2.772323203408115, + -2.754404239359548, + -2.718802780676576, + -2.666272772768335, + -2.5979070233723833, + -2.5151161535980777, + -2.4196001581770825, + -2.3133132059493002, + -2.198422474987254, + -2.077261961292345, + -1.9522823221341707, + -1.8259979118453014, + -1.7009322368456177, + -1.5795630961483753, + -1.4642686826112905, + -1.357275898503741, + -1.2606120870791089, + -1.1760613010242473, + -1.1051261208675311, + -1.0489959042858796, + -1.0085221939776765, + -0.9842018410974638, + -0.9761682173390017, + -0.9841906960873527, + -1.0076823863312792, + -1.0457159070242799, + -1.097046799073867, + -1.1601439917535599, + -1.233226574446903, + -1.314305977263882, + -1.4012325387748255, + -1.4917453388965372, + -1.5835241022318574, + -1.6742419336205696, + -1.7616176343006484, + -1.843466364155486, + -1.9177474625366056, + -1.9826083158697574, + -2.0364232627377343, + -2.0778266537929926, + -2.1057393315045765, + -2.1193879596921117, + -2.118316810932785, + -2.1023918068144547, + -2.0717967970140387, + -2.0270222535768117, + -1.9688467418573632, + -1.898311704796785, + -1.816690258248365, + -1.7254508379822169, + -1.6262166603129111, + -1.5207220550633092, + -1.4107667994787068, + -1.2981696230879889, + -1.1847220654366653, + -1.0721438508895214, + -0.9620408978572705, + -0.8558670051065702, + -0.7548901572231442, + -0.6601642674136289, + -0.5725070318303505, + -0.4924844091600127, + -0.4204020664111131, + -0.3563039510487291, + -0.29997796543412947, + -0.250968536583736, + -0.20859569718266618, + -0.17198012703375584, + -0.14007345189052592, + -0.11169296273820628, + -0.08555980641216109, + -0.06033961078971065, + -0.03468444685185, + -0.007274997204283754, + 0.023138203020756625, + 0.05769556151440573, + 0.09739231512364656, + 0.14304648091532648, + 0.19527173971603884, + 0.25445599153289794, + 0.3207461748378025, + 0.3940397789253173, + 0.4739833045535261, + 0.5599777472546625, + 0.6511909946393345, + 0.746576848356429, + 0.8449002076948764, + 0.9447677895374257, + 1.0446636126321882, + 1.142988346680906, + 1.2381015218198297, + 1.3283655143941036, + 1.4121901725733366, + 1.4880769217154945, + 1.5546611951310496, + 1.6107520709660734, + 1.6553680595126865, + 1.6877680758528901, + 1.7074767481530497, + 1.7143033493308197, + 1.7083537958383344, + 1.6900353280965432, + 1.6600536684494895, + 1.619402639886226, + 1.569346417542128, + 1.5113947704370405, + 1.4472718284014205, + 1.378879074239364, + 1.3082534097310592, + 1.2375212723411442, + 1.1688498842236978, + 1.104396793624188, + 1.0462589190443718, + 0.9964223272222889, + 0.95671396647998, + 0.928756537446648, + 0.9139276144559184, + 0.9133240346475894, + 0.9277324502642934, + 0.9576067957372364, + 1.003053258374347, + 1.0638231637421178, + 1.1393139984866723, + 1.2285785989563138, + 1.3303423383085944, + 1.4430279525900858, + 1.564787462267693, + 1.6935404743724707, + 1.8270179959911255, + 1.9628107560953756, + 2.09842092292266, + 2.2313160210146408, + 2.358983797631896, + 2.47898676394332 + ], + [ + 2.557617815647086, + 2.6606878999907697, + 2.7503761755589045, + 2.8249360195171134, + 2.88290841282528, + 2.923152969865056, + 2.944871742050883, + 2.9476252550729125, + 2.931340424359017, + 2.8963101866331558, + 2.843184882381746, + 2.772955619825104, + 2.686930040865941, + 2.58670108883846, + 2.474109542359347, + 2.351201225204253, + 2.2201799253857044, + 2.083357154529046, + 1.943099948895633, + 1.8017779543333814, + 1.6617110481123145, + 1.5251187308402208, + 1.3940724720125741, + 1.2704521145265975, + 1.1559073386781613, + 1.051825057408526, + 0.9593034651073246, + 0.8791332958435052, + 0.8117866676332416, + 0.7574137017167506, + 0.7158469144553474, + 0.6866131891085084, + 0.6689529501052633, + 0.6618459880300693, + 0.6640432236813834, + 0.6741035581423669, + 0.6904348362719603, + 0.7113378562741531, + 0.735052290304552, + 0.7598033420195017, + 0.7838479574408295, + 0.8055194256385516, + 0.8232692549247668, + 0.8357052871814147, + 0.8416251155995352, + 0.8400439968374148, + 0.8302165941865446, + 0.8116520500550353, + 0.7841220598279903, + 0.7476618005393912, + 0.7025637522029762, + 0.6493646324438478, + 0.5888258416398654, + 0.52190798167626, + 0.4497401624668557, + 0.3735849428070128, + 0.2947998625761753, + 0.21479660903648265, + 0.13499891883753987, + 0.056800347873304874, + -0.01847695740366312, + -0.08962138123871236, + -0.15556780243987134, + -0.21542943384237337, + -0.2685246781530138, + -0.31439827084176597, + -0.3528361294413181, + -0.383873492346675, + -0.40779610482884804, + -0.42513439106483053, + -0.43665073395060416, + -0.4433201646647807, + -0.4463049368129524, + -0.4469236211129286, + -0.4466155018752982, + -0.4469011822824975, + -0.4493404084499778, + -0.45548819981034855, + -0.46685042347601957, + -0.4848399715741811, + -0.5107346924971129, + -0.5456381896939516, + -0.59044453590494, + -0.6458078581771376, + -0.7121176318483354, + -0.7894803828103591, + -0.8777083401805567, + -0.9763154099020496, + -1.0845206580098885, + -1.2012593048547007, + -1.3252010431330348, + -1.4547753078345769, + -1.5882029497995724, + -1.7235336009074165, + -1.8586878721048286, + -1.9915033992352602, + -2.1197836491535296, + -2.2413483225224846, + -2.354084141963737, + -2.455994796147018, + -2.5452488224947927, + -2.6202242532485807, + -2.679548920746776, + -2.7221354162371227, + -2.7472098200484787, + -2.754333466511193, + -2.743417171129613, + -2.714727526196366, + -2.6688850599528795, + -2.6068542489419713, + -2.529925568618463, + -2.439689958805978, + -2.3380062635252163, + -2.2269623745877922, + -2.1088309609836435, + -1.9860207977389004, + -1.8610248153477589, + -1.7363660714384492, + -1.6145428980293683, + -1.4979744992820123, + -1.3889482655149037, + -1.2895700296123016, + -1.2017184227929145, + -1.1270043896724673, + -1.066736800015553, + -1.021894949508075, + -0.9931085778235373, + -0.9806458532005726, + -0.9844095830571369, + -1.0039417144589844, + -1.0384359913010612, + -1.086758441642592, + -1.1474751834614612, + -1.2188868646565663, + -1.2990688976070066, + -1.385916513753851, + -1.4771935527519937, + -1.570583816403229, + -1.6637437618285114, + -1.7543552824638122, + -1.8401773300307374, + -1.919095165452439, + -1.9891660908253148, + -2.0486606063671164, + -2.0960980534134594, + -2.1302759440789383, + -2.15029233664261, + -2.1555607891066177, + -2.1458176073995103, + -2.1211212947842064, + -2.081844300479618, + -2.028657353584431, + -1.962506848466224, + -1.8845859154221778, + -1.7962999615204467, + -1.6992275974048772, + -1.595077973311308, + -1.4856456290115156, + -1.3727640159328245, + -1.2582588740586393, + -1.1439026408883375, + -1.0313710349546075, + -0.9222028931270897, + -0.8177642508465304, + -0.7192175398729546, + -0.6274966420406622, + -0.5432883833706751, + -0.46702088462197683, + -0.3988590062360285, + -0.33870694215494157, + -0.28621783280866714, + -0.24081008731746062, + -0.2016899331842348, + -0.16787955277921038, + -0.13825002374202983, + -0.1115581586122009, + -0.08648624060019391, + -0.0616835798893077, + -0.035808770019892674, + -0.00757150786201891, + 0.024227146186179428, + 0.0606571491809556, + 0.10262550949857996, + 0.15084688961090026, + 0.2058195745811044, + 0.2678074633563038, + 0.3368285832242538, + 0.4126504580865967, + 0.49479248278012306, + 0.5825352730717284, + 0.6749367787914512, + 0.7708547704734635, + 0.868975142345106, + 0.9678453208014645, + 1.0659119315464443, + 1.1615617638479359, + 1.2531649797924787, + 1.3391194523786785, + 1.417895080440265, + 1.4880769217154948, + 1.5484060081254238, + 1.5978167589975063, + 1.635469987354731, + 1.6607805995690943, + 1.6734392170872363, + 1.6734270974236787, + 1.66102389652351, + 1.6368079918430969, + 1.6016492706886865, + 1.5566944768854942, + 1.5033453960261698, + 1.443230340694092, + 1.3781695676379353, + 1.3101354146084256, + 1.2412080815323825, + 1.1735280954276055, + 1.1092465880340148, + 1.05047457724674, + 0.9992324764579994, + 0.9574010589345354, + 0.9266750772049254, + 0.9085206806818977, + 0.9041376897055375, + 0.9144276728734438, + 0.9399686395848942, + 0.9809970044170396, + 1.0373973080293366, + 1.1086999949311542, + 1.1940873561331264, + 1.2924075491248688, + 1.4021964135571428, + 1.5217066132020018, + 1.648943457819162, + 1.7817065968091401, + 1.9176366339548414, + 2.05426559264643, + 2.1890700667025453, + 2.3195258255700484, + 2.4431626059467235, + 2.557617815647082 + ], + [ + 2.631531168305534, + 2.7267650916436694, + 2.807443453815929, + 2.87199577331246, + 2.9191593096769948, + 2.9480057963874793, + 2.9579605992216806, + 2.948813868227932, + 2.9207234419004875, + 2.8742094582391693, + 2.810140824281617, + 2.729713888643687, + 2.6344238459001463, + 2.5260295728103004, + 2.4065127502940924, + 2.278032257973362, + 2.1428749368094455, + 2.0034038972882158, + 1.8620056037840422, + 1.7210369889402943, + 1.582773844638732, + 1.449361698645819, + 1.3227703193151579, + 1.2047528965030363, + 1.0968108275039639, + 1.0001648953335467, + 0.9157334666159647, + 0.8441181616614163, + 0.785597264386516, + 0.7401269491226867, + 0.7073502097893277, + 0.6866131891085083, + 0.6769884261309225, + 0.6773043737354021, + 0.6861803880359819, + 0.7020662624331037, + 0.7232852735131793, + 0.7480796266728592, + 0.7746571381035638, + 0.8012379677981698, + 0.8261002259842755, + 0.8476233125553447, + 0.8643279146376925, + 0.8749116796673088, + 0.878279697863041, + 0.873569065778166, + 0.8601669581704408, + 0.8377218047942402, + 0.8061473475915788, + 0.7656195376155259, + 0.7165664152165526, + 0.6596512969150495, + 0.5957497634426024, + 0.5259211013591751, + 0.4513749914778147, + 0.3734343575217488, + 0.293495384992449, + 0.21298579073058574, + 0.13332246635149378, + 0.05586963258073856, + -0.018101373821359856, + -0.08744960296472166, + -0.15119827872587255, + -0.20856396134637709, + -0.25898029831797625, + -0.3021157172699046, + -0.3378845723827793, + -0.3664514263404149, + -0.38822832867506957, + -0.4038651340296206, + -0.41423308571934125, + -0.42040206641111266, + -0.42361208426625135, + -0.4252397152773365, + -0.4267603568835387, + -0.42970726083629723, + -0.43562840180662943, + -0.44604230008444007, + -0.4623939502933518, + -0.48601201241393854, + -0.5180683963881048, + -0.5595413177188787, + -0.6111828200587885, + -0.6734916537652197, + -0.7466922694066371, + -0.8307205354238545, + -0.9252166232819717, + -1.0295253255971548, + -1.1427038873031812, + -1.2635372415483976, + -1.3905603553821315, + -1.5220872100650409, + -1.6562457715358918, + -1.791018152441966, + -1.924285032077884, + -2.0538732879997075, + -2.177605705858372, + -2.2933515743773434, + -2.3990769419521762, + -2.492893310924422, + -2.5731035752863805, + -2.6382440667697393, + -2.687121661592246, + -2.7188450135165536, + -2.732849115601733, + -2.72891254980586, + -2.707166956633078, + -2.668098442108014, + -2.6125408319980066, + -2.541660878689365, + -2.4569357196808075, + -2.3601230735480625, + -2.253224834878899, + -2.138444889767461, + -2.018142114058468, + -1.8947796341854564, + -1.7708715222539013, + -1.6489281607103758, + -1.531401545931811, + -1.420631803509664, + -1.3187961607851346, + -1.2278615649582625, + -1.1495420492238604, + -1.0852618369624853, + -1.036125037765068, + -1.0028926323099427, + -0.9859672696564115, + -0.9853862145931679, + -1.0008225888101716, + -1.0315948525686398, + -1.0766842780215982, + -1.1347599761410927, + -1.204210860933196, + -1.2831837715921328, + -1.3696268294061407, + -1.4613369850512379, + -1.5560106163062906, + -1.6512959684738875, + -1.744846191490467, + -1.8343717197241933, + -1.9176907629128854, + -1.9927767289618157, + -2.0578014800445885, + -2.1111734305754357, + -2.1515696264473827, + -2.177961096178916, + -2.189630932506756, + -2.186184743325482, + -2.1675532992299207, + -2.133987396597769, + -2.086045145422203, + -2.0245720752755, + -1.9506746263254395, + -1.8656877509802239, + -1.7711374916272238, + -1.6686995176526476, + -1.560154697637506, + -1.4473428481025303, + -1.3321158368847767, + -1.2162912263544747, + -1.1016076191439457, + -0.9896828175210977, + -0.8819758283801796, + -0.7797536411103858, + -0.6840635780403223, + -0.5957118700104878, + -0.5152489466470674, + -0.4429617562386518, + -0.3788732481769545, + -0.3227489663128632, + -0.2741105189585854, + -0.23225551523636706, + -0.19628339246354062, + -0.16512640941854953, + -0.13758494941344, + -0.11236616838465958, + -0.08812493942418823, + -0.06350598839552739, + -0.03718608692087078, + -0.007915169777610824, + 0.02544472643851749, + 0.06388374841477373, + 0.10821269510150802, + 0.15903652112542901, + 0.21673359377073337, + 0.2814412727169931, + 0.3530482170523589, + 0.4311936488591049, + 0.5152736213370612, + 0.6044541565863193, + 0.6976909384521648, + 0.7937550738062015, + 0.8912642756713541, + 0.9887186777696653, + 1.0845403660533763, + 1.1771156117505532, + 1.2648387150214113, + 1.3461563204460414, + 1.4196110465240133, + 1.4838832817149903, + 1.5378300391038675, + 1.5805198296179035, + 1.6112626082294565, + 1.6296339664476538, + 1.635492884722731, + 1.62899251670122, + 1.6105836496657517, + 1.5810106676960778, + 1.5413000315697567, + 1.4927414775124561, + 1.4368623209127487, + 1.3753954264311483, + 1.310241568158193, + 1.2434270485300307, + 1.1770575689258922, + 1.1132694450941603, + 1.0541793342153989, + 1.0018336855961838, + 0.9581591424848369, + 0.9249151078283344, + 0.90364964221397, + 0.8956597887660506, + 0.9019573191179145, + 0.9232407691500378, + 0.9598744859885566, + 1.0118752423507593, + 1.0789067947157889, + 1.1602825723581582, + 1.254976489625691, + 1.3616416787256194, + 1.478636749474564, + 1.604059000642782, + 1.7357838391389107, + 1.8715095124723384, + 2.0088061304046883, + 2.145167846647689, + 2.2780669934755124, + 2.405008913126145, + 2.52358621108969, + 2.63153116830553 + ], + [ + 2.7001014815090025, + 2.786687674764123, + 2.8576560111534364, + 2.9116254495955607, + 2.947540231763964, + 2.96469209203449, + 2.962734608497591, + 2.9416893752811037, + 2.9019438708376977, + 2.8442410940625473, + 2.7696612353237184, + 2.6795958379644107, + 2.5757150829952056, + 2.459928991239776, + 2.3343434792194033, + 2.2012123241332735, + 2.0628861865523023, + 1.921759904670363, + 1.780219309615063, + 1.6405888166051623, + 1.505081021595233, + 1.375749478159126, + 1.2544457461515057, + 1.1427816942637972, + 1.0420979057114532, + 0.9534388832792814, + 0.8775355806260818, + 0.8147956053186501, + 0.7653012500277191, + 0.7288153163522497, + 0.704794505583299, + 0.692409967059099, + 0.6905744221122408, + 0.6979751241987491, + 0.7131117774709123, + 0.7343384201727975, + 0.7599081885966585, + 0.788019814104332, + 0.8168646713682778, + 0.8446731912794685, + 0.8697594769209741, + 0.8905630148961805, + 0.9056864556883161, + 0.9139285434901149, + 0.9143114053269639, + 0.906101557992131, + 0.8888241555313713, + 0.8622701755874407, + 0.8264964253983774, + 0.7818184330261895, + 0.728796471815325, + 0.6682151415495468, + 0.6010570938798756, + 0.5284716382149823, + 0.4517390936728953, + 0.3722318596508161, + 0.29137325940756936, + 0.21059526573486406, + 0.13129624396802214, + 0.054799844621801125, + -0.017683854066078628, + -0.0850939136092098, + -0.1465498595604759, + -0.2013779207280312, + -0.2491314743702133, + -0.2896051396006317, + -0.32284212682413066, + -0.3491346268243647, + -0.3690172046770733, + -0.383253346365451, + -0.3928154851892638, + -0.39885900623602805, + -0.40269088596797775, + -0.4057337663275141, + -0.4094863850412055, + -0.4154813828732002, + -0.42524158188849764, + -0.4402358744240694, + -0.4618358792133898, + -0.49127450847343, + -0.5296075479853853, + -0.5776792822559975, + -0.6360931004181196, + -0.7051878979670284, + -0.7850209476920644, + -0.8753577537464967, + -0.9756692296471001, + -1.085136358405041, + -1.2026623055031773, + -1.3268917677258256, + -1.456237157604974, + -1.5889110490618614, + -1.722964149067841, + -1.8563279168743856, + -1.9868608301924515, + -2.1123971997446787, + -2.2307973623841524, + -2.3399980403264133, + -2.438061641129619, + -2.523223290298175, + -2.5939344354499996, + -2.6489019368099798, + -2.687121661592246, + -2.7079057271613514, + -2.7109026866568198, + -2.6961101174303237, + -2.663879253136559, + -2.6149114902457797, + -2.5502467944765117, + -2.471244227423192, + -2.3795550037097137, + -2.277088669678042, + -2.1659731614885125, + -2.0485096494645094, + -1.9271232028938852, + -1.804310412162775, + -1.6825851805070027, + -1.564423943951947, + -1.452211594013585, + -1.3481893630355324, + -1.2544058869721886, + -1.172672586075996, + -1.1045244021024205, + -1.0511868037789482, + -1.0135498234766962, + -0.9921497208936257, + -0.9871586881748715, + -0.9983828196728294, + -1.025268373142465, + -1.0669161523547221, + -1.122103648679688, + -1.1893143958169805, + -1.266773821984474, + -1.3524907316328991, + -1.444303417813456, + -1.5399292998407148, + -1.6370169014149156, + -1.7331989337793259, + -1.826145227963513, + -1.9136142701346397, + -1.9935021342296784, + -2.063887675315039, + -2.1230729437437614, + -2.169617901714528, + -2.202368667230463, + -2.2204786721283827, + -2.223422296775087, + -2.2110007298385144, + -2.1833399926356183, + -2.1408812592118225, + -2.0843637907926755, + -2.014800981953124, + -1.933450181388462, + -1.8417770984936184, + -1.7414157344501413, + -1.6341248800943486, + -1.5217423000066677, + -1.4061377711950527, + -1.289166164322824, + -1.1726217452656498, + -1.058194835226164, + -0.9474318997726133, + -0.8417000427872571, + -0.7421567628565013, + -0.6497256901497004, + -0.5650788648772563, + -0.48862594798219905, + -0.4205105751230405, + -0.36061388079072954, + -0.30856503521918555, + -0.2637584572376779, + -0.22537719589124944, + -0.19242181680156847, + -0.16374398979041607, + -0.13808385573452592, + -0.1141101559272788, + -0.09046203875057318, + -0.06579141790775792, + -0.03880474483055905, + -0.008303075415744772, + 0.02678064249787458, + 0.06734806072628921, + 0.11410660181399969, + 0.16754608747044866, + 0.2279214597439315, + 0.2952420714184054, + 0.36926785088046277, + 0.44951246745801515, + 0.5352534405243279, + 0.625548954125494, + 0.7192609631343709, + 0.8150840114259426, + 0.9115790315197331, + 1.0072112623967757, + 1.1003913111675923, + 1.189518297797306, + 1.2730239624241657, + 1.3494165835081229, + 1.4173235529750292, + 1.475531481806029, + 1.5230227655499833, + 1.5590076226767684, + 1.5829507275182273, + 1.5945916910987883, + 1.5939587942022484, + 1.5813755438232322, + 1.5574598025779482, + 1.523115426266347, + 1.4795165329639932, + 1.4280847130808694, + 1.3704596691012585, + 1.3084639417185224, + 1.2440625315755625, + 1.179318358967083, + 1.1163446142766773, + 1.057255136789984, + 1.0041140166533762, + 0.9588856426261367, + 0.9233864161161925, + 0.8992393197501064, + 0.8878324671062662, + 0.8902826706643343, + 0.9074049496148499, + 0.9396887606948978, + 0.9872815770072083, + 1.0499802656729138, + 1.1272305293930758, + 1.2181344840767148, + 1.3214662493423708, + 1.4356952356933432, + 1.5590166262293441, + 1.6893883764497963, + 1.8245738973052528, + 1.9621894480592652, + 2.099755150146033, + 2.2347484438965624, + 2.364658748969494, + 2.4870420580806605, + 2.59957419296919, + 2.700101481509 + ], + [ + 2.7627486193793738, + 2.8399486771836555, + 2.900589026614912, + 2.94348976337243, + 2.967811063642819, + 2.9730706831942793, + 2.9591533795998752, + 2.926312052666627, + 2.8751605948396906, + 2.80665864002506, + 2.7220885911478554, + 2.623025489174693, + 2.5113004548513094, + 2.3889585849578228, + 2.2582123138255352, + 2.121391355085691, + 1.9808904156367666, + 1.8391159217973585, + 1.698433015446081, + 1.5611140652691493, + 1.4292898954211626, + 1.3049048620753592, + 1.1896768093278043, + 1.0850628122221129, + 0.9922314693768741, + 0.9120423444514713, + 0.8450329785378906, + 0.7914137089104715, + 0.7510703380223754, + 0.7235745049372486, + 0.7082014242513142, + 0.703954479595747, + 0.7095959943754836, + 0.7236833555175696, + 0.7446095402449658, + 0.7706469943036527, + 0.7999937350887383, + 0.8308205065097644, + 0.861317795268153, + 0.8897415308180885, + 0.9144563332319644, + 0.9339752433488238, + 0.9469949661043959, + 0.9524257783265638, + 0.9494153934416251, + 0.9373662338740628, + 0.9159457334121358, + 0.8850894721094618, + 0.8449971308420804, + 0.7961214367861239, + 0.7391504501863054, + 0.6749837123465479, + 0.6047029305345916, + 0.5295380135477503, + 0.450829388582769, + 0.3699876228703391, + 0.2884514399642574, + 0.20764525897250596, + 0.12893739444536526, + 0.05360003488670978, + -0.017227930543878955, + -0.08257424337008572, + -0.1416618726732543, + -0.19393210914268655, + -0.23906153181696543, + -0.2769723829821302, + -0.307836058661581, + -0.3320696017583713, + -0.35032526763701277, + -0.3634734131229008, + -0.37257913495242856, + -0.3788732481769541, + -0.3837183447226828, + -0.3885708034181172, + -0.39493973196664633, + -0.40434390575805584, + -0.4182678258921795, + -0.4381180478177605, + -0.46518093177, + -0.500582936654687, + -0.5452545208449171, + -0.5998986279178039, + -0.6649646247390629, + -0.7406284262139025, + -0.8267793887424026, + -0.9230143867127044, + -1.0286393073960338, + -1.1426780138238741, + -1.2638886372604177, + -1.390786875427274, + -1.5216757943356727, + -1.6546814649090003, + -1.7877936147310887, + -1.91891034404458, + -2.04588584688061, + -2.166579995694445, + -2.278908593247165, + -2.380893070160004, + -2.470708411300251, + -2.546728128918302, + -2.607565164482595, + -2.6521076929660206, + -2.679548920746776, + -2.689410108484164, + -2.6815562099334818, + -2.6562036928057493, + -2.613920294199545, + -2.5556166562897893, + -2.482529983134193, + -2.396200051877054, + -2.298438096577469, + -2.1912892558261423, + -2.076989431992771, + -1.9579175465080496, + -1.8365442886648742, + -1.7153785422269485, + -1.5969127325082664, + -1.4835683650755322, + -1.377643025101771, + -1.281260073686608, + -1.1963222149294475, + -1.1244700167001436, + -1.0670463510939556, + -1.0250675803217173, + -0.9992021536787159, + -0.9897571051509291, + -0.9966727534391294, + -1.0195257112795542, + -1.0575401136567224, + -1.1096067796379756, + -1.174309834847063, + -1.2499601455936473, + -1.334634755654738, + -1.4262213765351717, + -1.5224668650994848, + -1.6210285315757347, + -1.7195270582500972, + -1.8155997761715557, + -1.9069530446108631, + -1.9914125058610153, + -2.0669700454747484, + -2.13182637372789, + -2.18442825580427, + -2.223499553112147, + -2.2480653928908585, + -2.257468953995383, + -2.251380539215126, + -2.2297987941704576, + -2.19304412504683, + -2.1417445574291434, + -2.0768144616120234, + -1.999426741488276, + -1.9109792402536085, + -1.8130562529020922, + -1.7073861495041653, + -1.5957962018089167, + -1.4801657666845582, + -1.3623790118852201, + -1.2442783719117791, + -1.127619894362841, + -1.014031580931445, + -0.9049757435920648, + -0.8017162877194295, + -0.705291702687686, + -0.6164943902707152, + -0.5358567957259812, + -0.46364462999181916, + -0.39985728842665624, + -0.34423538658789904, + -0.29627515134925997, + -0.25524923077246486, + -0.22023332297624248, + -0.19013787687580094, + -0.163743989790416, + -0.1397425217320534, + -0.11677536631628452, + -0.09347776566149864, + -0.0685205326581571, + -0.040651049170590446, + -0.00873194291919293, + 0.028223591909879945, + 0.07102077646572746, + 0.12025736451824405, + 0.1763035938640596, + 0.23928851809199841, + 0.3090930984585941, + 0.38535025926691535, + 0.46745192838862526, + 0.5545629020306277, + 0.6456411941565666, + 0.7394643606687108, + 0.8346611308689695, + 0.9297475378632336, + 1.0231666190488597, + 1.113330660720794, + 1.1986648896519587, + 1.277651471103848, + 1.3488726582641322, + 1.4110519530238403, + 1.4630921819950733, + 1.5041094636984054, + 1.5334621411792024, + 1.5507738765431325, + 1.5559502470287594, + 1.5491883427259823, + 1.5309790399271892, + 1.5021018070452772, + 1.4636120874942955, + 1.4168214912269386, + 1.3632712090753452, + 1.3046992370735673, + 1.243002157203726, + 1.1801923624858883, + 1.1183517344427971, + 1.059582876653995, + 1.0059590769100812, + 0.9594742105893248, + 0.9219938082143372, + 0.8952084903519832, + 0.8805909234854149, + 0.879357372340578, + 0.8924348192290633, + 0.920434491777258, + 0.963632490056758, + 1.0219580362489806, + 1.0949896886434782, + 1.1819596713990996, + 1.2817662767353963, + 1.392994101829004, + 1.513941693426476, + 1.6426559936918474, + 1.7769728154917348, + 1.914562428248142, + 2.052979210281737, + 2.189714223316962, + 2.322249492004642, + 2.448112727749794, + 2.5649312229068775, + 2.6704836588735676, + 2.7627486193793707 + ], + [ + 2.8189425587821075, + 2.886097486720916, + 2.935879267462139, + 2.9673191281297475, + 2.979800304903209, + 2.9730706831942797, + 2.9472472113455326, + 2.9028119994921378, + 2.840600212540981, + 2.761780060694123, + 2.667825377850624, + 2.560481453023676, + 2.441724938370511, + 2.3137187957160656, + 2.1787633582214694, + 2.0392446723481585, + 1.8975813453882993, + 1.7561711541611413, + 1.6173386703344899, + 1.4832851272912975, + 1.3560416933398367, + 1.2374272279041498, + 1.1290114833578597, + 1.0320845782381478, + 0.9476334111164365, + 0.876325512300747, + 0.8185006470726527, + 0.7741702938609255, + 0.7430249283256136, + 0.7244488545137499, + 0.7175421417197931, + 0.7211490549184404, + 0.7338922118119439, + 0.7542115644217988, + 0.7804071910321705, + 0.8106847978587051, + 0.8432027711271743, + 0.876119590663868, + 0.9076404162597235, + 0.9360616878678717, + 0.9598126392872973, + 0.9774927108163027, + 0.987903957195498, + 0.9900776801497378, + 0.9832946665828387, + 0.9670985801185693, + 0.9413022309912065, + 0.9059866327858779, + 0.861492939582967, + 0.8084075390113371, + 0.7475407509872454, + 0.6798997441342968, + 0.606656427978891, + 0.5291112053396235, + 0.44865357272414463, + 0.3667206344390095, + 0.2847546465771418, + 0.20416072883561462, + 0.12626587471787634, + 0.05228035430874347, + -0.016737460574066394, + -0.07991190979773648, + -0.13657567264511292, + -0.18628952152562409, + -0.2288556669289353, + -0.2643243262517802, + -0.2929933260221104, + -0.315400728976505, + -0.33231065980044716, + -0.34469268148772403, + -0.35369524368889455, + -0.3606138807907292, + -0.3668549768144768, + -0.37389603298169094, + -0.3832434689273073, + -0.39638905758702586, + -0.41476613494906434, + -0.43970673803693044, + -0.47240080730490014, + -0.5138585434431832, + -0.5648769344959712, + -0.6260113689856279, + -0.6975531268613493, + -0.7795133955998513, + -0.8716142972504513, + -0.9732872376427112, + -1.0836787057017774, + -1.2016634634109147, + -1.3258648801029982, + -1.4546819831287225, + -1.5863226250961566, + -1.7188420101269308, + -1.8501856819104565, + -1.9782359582998101, + -2.1008607037920526, + -2.21596326487727, + -2.3215323556637273, + -2.4156906734205066, + -2.496741046015592, + -2.5632089652140166, + -2.6138804402485745, + -2.6478342130901598, + -2.664467507870093, + -2.6635146387883637, + -2.6450579699042347, + -2.6095309023423248, + -2.557712755221331, + -2.490715601366528, + -2.409963312837221, + -2.317163259733956, + -2.2142712840242322, + -2.1034507338582396, + -1.9870264890088063, + -1.8674350310824983, + -1.747171709973239, + -1.6287364282397738, + -1.514579005934987, + -1.4070454988659937, + -1.308326723032035, + -1.2204101875366307, + -1.1450365588055615, + -1.0836616723795363, + -1.0374249774690132, + -1.0071251470403244, + -0.9932034161500146, + -0.9957350276937071, + -1.0144289721518844, + -1.04863601098308, + -1.0973647768250645, + -1.1593055523938496, + -1.2328611485651788, + -1.3161841349854617, + -1.4072195277377157, + -1.5037519116795715, + -1.6034558731308244, + -1.7039485440579982, + -1.8028430135487288, + -1.8978013472371225, + -1.9865859707377176, + -2.067108218624972, + -2.137472924874344, + -2.1960180320691856, + -2.241348322522483, + -2.272362521615731, + -2.288273188451467, + -2.288618987257029, + -2.273269120444581, + -2.2424198961908366, + -2.196583595112189, + -2.1365699873561663, + -2.0634610286212243, + -1.9785794269122157, + -1.8834519172510966, + -1.779768205555681, + -1.6693366424765022, + -1.55403776075858, + -1.4357768539566782, + -1.316436789077868, + -1.1978322306874072, + -1.0816664096682564, + -0.9694914973752227, + -0.8626735472723691, + -0.7623628438374357, + -0.6694703556945983, + -0.5846508302376776, + -0.5082928944848258, + -0.44051634593030153, + -0.3811766323006692, + -0.3298763350407721, + -0.28598329268186506, + -0.24865483146931092, + -0.2168674159838361, + -0.18945089585150526, + -0.1651264094185494, + -0.14254691434112854, + -0.1203392506657644, + -0.0971466057426656, + -0.07167024310099808, + -0.042709379370786074, + -0.009198143874811271, + 0.029761366669565647, + 0.07487082279600997, + 0.12661294497851133, + 0.18523494783935313, + 0.25073859835765694, + 0.3228771678811379, + 0.40115937775939076, + 0.4848602556937593, + 0.5730386390739864, + 0.6645608872370314, + 0.758130201169902, + 0.8523208008460467, + 0.9456160809168469, + 1.03644975818876, + 1.123248941960636, + 1.2044780030085411, + 1.278682090243056, + 1.3445291465677625, + 1.4008493072439645, + 1.446670624387371, + 1.4812501486411642, + 1.504099511458142, + 1.5150042860236121, + 1.5140365583398527, + 1.5015603085722822, + 1.4782293822407295, + 1.4449780167597237, + 1.4030040765515026, + 1.3537453347815325, + 1.298849317068215, + 1.2401373878415642, + 1.1795639092055492, + 1.1191714314212506, + 1.0610429801883616, + 1.0072525860431134, + 0.9598152533327797, + 0.9206375889823005, + 0.8914703039736543, + 0.8738637631948313, + 0.8691276929051596, + 0.8782960610536477, + 0.9020980263095216, + 0.9409357097825103, + 0.9948693824505512, + 1.063610485177412, + 1.146522711177125, + 1.242631187427259, + 1.3506395965745954, + 1.4689548890868311, + 1.5957190514856698, + 1.7288472249660771, + 1.8660713137818918, + 2.0049880882755264, + 2.143110676668495, + 2.2779222554515055, + 2.4069306925102576, + 2.527722871392575, + 2.6380174300250987, + 2.735714682634374, + 2.818942558782105 + ], + [ + 2.8682078735618104, + 2.9247436635646467, + 2.9632281622885337, + 2.982911936658756, + 2.983406521138876, + 2.9646920920344906, + 2.927116835305598, + 2.8713880368413895, + 2.798555120414566, + 2.7099850491586626, + 2.6073306867709034, + 2.492492880358694, + 2.367577173905516, + 2.2348461861778812, + 2.096668786522678, + 1.955467274028432, + 1.8136638082389844, + 1.6736273520288476, + 1.5376223691355426, + 1.4077604707048945, + 1.28595612828605, + 1.1738874669645614, + 1.0729630243507513, + 0.9842952121443311, + 0.9086810506838754, + 0.8465905673891544, + 0.7981630617605806, + 0.7632112472640644, + 0.7412330887440567, + 0.7314309676886879, + 0.7327376312922298, + 0.7438482191393154, + 0.7632575174279455, + 0.789301468449935, + 0.8202018655082456, + 0.8541130929025661, + 0.8891697287147714, + 0.9235338158166312, + 0.9554406240081773, + 0.9832417729400684, + 1.0054446602137823, + 1.0207472398319652, + 1.0280673203854616, + 1.026565696832534, + 1.0156625907692844, + 0.9950470476223833, + 0.964679120825119, + 0.9247848581812932, + 0.8758442896146514, + 0.818572793717479, + 0.7538963884767147, + 0.6829216450593396, + 0.6069010587404274, + 0.5271948245811756, + 0.44523005448375397, + 0.36245853455728544, + 0.2803141557910957, + 0.20017115602591584, + 0.12330428705132646, + 0.050851967982754084, + -0.016216593754525756, + -0.07712943743890374, + -0.1313342910298216, + -0.1785148176263943, + -0.2186002259412818, + -0.25176797769283144, + -0.2784395051402614, + -0.29926903468525134, + -0.31512579290137605, + -0.327070044947932, + -0.33632357766380877, + -0.3442353865878987, + -0.3522434539666234, + -0.36183361021653593, + -0.37449655160112083, + -0.39168413997524654, + -0.41476613494906417, + -0.4449885040434346, + -0.48343442240403384, + -0.5309890111982074, + -0.5883087744398168, + -0.6557965798538864, + -0.7335828933105591, + -0.8215138216882206, + -0.9191463496022059, + -1.0257509754689247, + -1.1403217663490546, + -1.2615936635714362, + -1.3880666869719032, + -1.5180365093061507, + -1.6496307084451707, + -1.7808498574701344, + -1.9096124854848744, + -2.033802838098332, + -2.1513202887609033, + -2.2601292024896855, + -2.3583080333163227, + -2.4440964466382438, + -2.51593929740605, + -2.572526363852594, + -2.6128268326572637, + -2.6361176527559183, + -2.6420050185395505, + -2.63043840546541, + -2.6017167581953657, + -2.5564866189670497, + -2.4957321774158734, + -2.420757417768709, + -2.3331607304530975, + -2.234802538019983, + -2.1277666553701207, + -2.014316257417563, + -1.8968454597429587, + -1.7778276262121573, + -1.6597615992762635, + -1.5451171016915826, + -1.4362805813704107, + -1.3355027633984555, + -1.2448491350858677, + -1.1661545221573177, + -1.10098281845836, + -1.050592810173113, + -1.0159108914522834, + -0.997511305039373, + -0.9956043629245448, + -1.0100329125922065, + -1.0402771186680473, + -1.0854674324753544, + -1.144405427976221, + -1.2155919965158801, + -1.2972622192252086, + -1.3874260790754738, + -1.4839140382166007, + -1.584426393655813, + -1.6865852382515851, + -1.7879877964601718, + -1.8862598766280867, + -1.9791081844881797, + -2.0643702757547358, + -2.140060988443827, + -2.2044142861658336, + -2.2559195598623005, + -2.293351574377342, + -2.3157934044009973, + -2.3226518777676146, + -2.313665228536377, + -2.288902853161555, + -2.2487572556654483, + -2.1939284573133113, + -2.1254013281972286, + -2.044416467905879, + -1.952435415939773, + -1.8511011059897835, + -1.7421945883979473, + -1.6275891294142035, + -1.5092028522505314, + -1.3889511121109184, + -1.2686997947670362, + -1.1502206960215815, + -1.035150078456601, + -0.9249514138190004, + -0.8208832065363535, + -0.7239726590841505, + -0.634995786682144, + -0.5544644209778422, + -0.48262036423109606, + -0.4194367715464746, + -0.3646266535489987, + -0.3176582102229824, + -0.27777653299844507, + -0.2440310509303204, + -0.2153079520102764, + -0.19036668589900924, + -0.16787955277921016, + -0.14647330713127638, + -0.12477165690144573, + -0.10143751894681849, + -0.0752139012606742, + -0.04496232102624723, + -0.009697734011556958, + 0.03138095650661383, + 0.07886562658301673, + 0.13311957210817474, + 0.1942645861002151, + 0.26217482768063916, + 0.3364776602213596, + 0.4165614540617361, + 0.5015901670470592, + 0.5905243385586507, + 0.6821479642021694, + 0.7751005631809155, + 0.8679136125580762, + 0.9590504056257418, + 1.0469482984486638, + 1.1300622417397566, + 1.2069084562975927, + 1.276107100337512, + 1.3364227964934263, + 1.38680193463545, + 1.4264057427911234, + 1.4546382205276025, + 1.4711681546477668, + 1.4759445828813862, + 1.469205233804537, + 1.4514776464620198, + 1.4235728567373733, + 1.3865717248359135, + 1.3418041646359826, + 1.2908217164535847, + 1.2353640754170976, + 1.177320343864322, + 1.1186859140081913, + 1.0615160030707422, + 1.0078769541972756, + 0.9597964803823263, + 0.919214063685858, + 0.8879327272248663, + 0.8675733725620075, + 0.8595328206950852, + 0.8649466121272187, + 0.8846575124192109, + 0.9191905368011575, + 0.9687351540493753, + 1.0331351596317728, + 1.1118865252266195, + 1.2041433405842612, + 1.308731768997785, + 1.4241717441429405, + 1.5487059484830024, + 1.680335436417067, + 1.8168611032334818, + 1.9559300577072025, + 2.0950858353854964, + 2.2318212942289604, + 2.3636329666832148, + 2.488075604138452, + 2.6028156420586184, + 2.7056823370512237, + 2.794715380273217, + 2.8682078735618077 + ], + [ + 2.9101277568626367, + 2.9555602435711545, + 2.982404327068349, + 2.990136266743473, + 2.978599202128635, + 2.9480057963874797, + 2.8989325635704675, + 2.832306025657911, + 2.749381038965458, + 2.6517118146537793, + 2.5411163303693876, + 2.4196349852696724, + 2.289484485095945, + 2.153008054310226, + 2.012623155953949, + 1.8707679548260023, + 1.7298477845262241, + 1.5921828733180128, + 1.4599585478294197, + 1.3351790682799578, + 1.2196261558542372, + 1.1148231543862126, + 1.0220056276318958, + 0.9420990336027506, + 0.8757039426745943, + 0.8230890808058616, + 0.784192287776277, + 0.758629287613123, + 0.7457099790513815, + 0.7444617726251608, + 0.7536593322508041, + 0.771859927057574, + 0.7974434674500247, + 0.8286561911355375, + 0.8636568827198283, + 0.9005644564076372, + 0.9375057065900525, + 0.9726620361680798, + 1.0043140071261216, + 1.030882621165736, + 1.050966328465656, + 1.0633728775074418, + 1.0671452554475707, + 1.0615811232428005, + 1.046245318715692, + 1.0209751797035964, + 0.9858786238477153, + 0.9413251068025686, + 0.8879297620218058, + 0.8265311982499058, + 0.7581635910855941, + 0.6840238484724247, + 0.6054347531322619, + 0.5238050847207952, + 0.44058779837507045, + 0.35723738251878845, + 0.27516753616751394, + 0.195710294134682, + 0.1200776878175083, + 0.049326960703411644, + -0.015669736854245272, + -0.07425036726882633, + -0.125982072287598, + -0.17067377495807828, + -0.20838197452540044, + -0.23940956969590504, + -0.2642977279263734, + -0.2838110003179892, + -0.29891605869000654, + -0.3107545989829856, + -0.32061110903251183, + -0.3298763350407718, + -0.340007396274205, + -0.35248558867755414, + -0.36877298286669163, + -0.39026895865471284, + -0.4182678258921791, + -0.4539186597068313, + -0.4981884276908947, + -0.5518294084109274, + -0.6153517967075002, + -0.6890022641606725, + -0.7727490959588765, + -0.866274361868893, + -0.9689734031262719, + -1.0799617332292228, + -1.1980892634135119, + -1.3219615776933555, + -1.4499678024343832, + -1.5803144459998477, + -1.711064429350348, + -1.8401803924912157, + -1.9655712478051677, + -2.085140862492751, + -2.1968376908651015, + -2.298704144714175, + -2.388924487330827, + -2.4658700641180338, + -2.5281407395775544, + -2.5746014954253797, + -2.6044132557056483, + -2.617057139365529, + -2.6123514955792784, + -2.590461248416382, + -2.551899261070055, + -2.4975196213200905, + -2.4285029445179385, + -2.3463339833860086, + -2.252772020582357, + -2.1498146957094866, + -2.0396560789173384, + -1.9246399445086104, + -1.807209316510198, + -1.689853451090043, + -1.5750534856639709, + -1.4652280199231498, + -1.362679898916795, + -1.2695454425884303, + -1.18774731038123, + -1.1189521050287459, + -1.0645337084657254, + -1.025543207618971, + -1.0026861119467025, + -0.996307391772505, + -1.0063846809061527, + -1.03252979327032, + -1.0739985059716706, + -1.1297083652641446, + -1.1982640819153163, + -1.2779899032168882, + -1.3669681846275514, + -1.4630832387793347, + -1.5640694168280798, + -1.667562279840757, + -1.7711516484163792, + -1.872435278678738, + -1.9690719030799588, + -2.0588323952898193, + -2.139647869243675, + -2.209653601873406, + -2.2672277751413743, + -2.311024163076355, + -2.3399980403264133, + -2.353424756546885, + -2.3509106015711514, + -2.332395775298649, + -2.2981494689129174, + -2.248757255665448, + -2.1851011753174405, + -2.1083330718626905, + -2.0198419050674006, + -1.921215898734074, + -1.8142005089718491, + -1.7006532912323025, + -1.5824968131687418, + -1.4616707998987766, + -1.3400847081121832, + -1.2195719055258305, + -1.1018465830420403, + -0.9884644499388053, + -0.8807881595242814, + -0.7799582865769891, + -0.6868705317943438, + -0.6021596661040888, + -0.5261905531730534, + -0.45905640618769067, + -0.4005842495782416, + -0.3503473724808345, + -0.3076843829992529, + -0.27172430519952295, + -0.2414170084311378, + -0.21556812482644516, + -0.19287749902011125, + -0.1719801270337555, + -0.1514884810427793, + -0.13003508486088797, + -0.10631420220658984, + -0.07912152618563097, + -0.047390813231100996, + -0.01022648657080601, + 0.033068658958130305, + 0.08297138997904031, + 0.13972219689743492, + 0.20331611382100068, + 0.27350045038591975, + 0.349779509159768, + 0.4314261796389146, + 0.517500119828105, + 0.6068720635546111, + 0.698253630422612, + 0.7902318697599616, + 0.8813076437621464, + 0.9699368515237796, + 1.054573417427329, + 1.1337129164589714, + 1.2059356867844955, + 1.269948286967013, + 1.324622191430918, + 1.369028682327073, + 1.402468987274598, + 1.4244988283115958, + 1.4349466849283024, + 1.4339252298797545, + 1.4218355667147862, + 1.3993640783793106, + 1.3674718823552388, + 1.327377074932671, + 1.2805301306958163, + 1.2285829985274113, + 1.1733525979937616, + 1.1167795657589248, + 1.060883226998629, + 1.0077138684475873, + 0.959303465107325, + 0.917616059799657, + 0.8844990124059772, + 0.8616363232466093, + 0.850505192832624, + 0.8523369091111183, + 0.8680830549869347, + 0.8983879056801259, + 0.9435677403307625, + 1.0035976286999633, + 1.0781060758100074, + 1.1663777192526295, + 1.26736408026647, + 1.379702175279737, + 1.5017406041983266, + 1.6315725499672609, + 1.7670749553147973, + 1.905952991257186, + 2.0457888016325136, + 2.1840934018678064, + 2.31836053099656, + 2.4461212056105306, + 2.5649977042183587, + 2.6727557209282233, + 2.7673534682530923, + 2.8469865791899522, + 2.9101277568626345 + ], + [ + 2.9443475475028977, + 2.9782865045289233, + 2.993245522770234, + 2.9889309972823366, + 2.9654190199666512, + 2.9231529698650562, + 2.862932847832549, + 2.785896617441127, + 2.6934940031742407, + 2.587453375112324, + 2.4697425120635703, + 2.342524178517639, + 2.2081075714264715, + 2.0688967877408766, + 1.9273375305809766, + 1.785863309308201, + 1.6468423957378118, + 1.5125267751725777, + 1.3850042774876508, + 1.2661549915244616, + 1.1576129576258265, + 1.0607340009804227, + 0.9765704158360202, + 0.9058530413778574, + 0.8489810883446633, + 0.8060198857619076, + 0.7767065241894965, + 0.7604631803601087, + 0.7564177227297718, + 0.7634310228168992, + 0.7801302375382286, + 0.8049471869487858, + 0.8361608332716758, + 0.8719427737164707, + 0.910404593557689, + 0.9496458888191834, + 0.9878017605079138, + 1.0230886047432675, + 1.0538470746769206, + 1.0785811694111558, + 1.0959925101307182, + 1.1050089916596764, + 1.1048071453682327, + 1.094827713028445, + 1.0747841067047923, + 1.0446636126321882, + 1.0047213826705395, + 0.9554674406618204, + 0.8976471082391269, + 0.8322154209050536, + 0.760306256348881, + 0.6831970292339244, + 0.6022699167633502, + 0.5189706644915761, + 0.4347660799854183, + 0.3511013516323626, + 0.26935833043728413, + 0.19081588407207598, + 0.11661337550599277, + 0.04771823472237309, + -0.015101516530056891, + -0.07129905752393724, + -0.12056429861090785, + -0.16283273228976225, + -0.19828736371208106, + -0.2273536599848986, + -0.2506876402149032, + -0.26915740784030595, + -0.28381859885275523, + -0.29588437964857167, + -0.30669077238959774, + -0.31765821022298213, + -0.3302503263221787, + -0.3459310568569931, + -0.36612118670545724, + -0.3921554866997735, + -0.4252415818884971, + -0.46642165186926693, + -0.5165379976044925, + -0.576203415890536, + -0.6457772050935299, + -0.7253474867910069, + -0.814720371008988, + -0.9134163217175647, + -1.0206738984028367, + -1.135460863382306, + -1.2564924577298937, + -1.3822564659064087, + -1.5110445150430512, + -1.6409888936842965, + -1.7701040307337546, + -1.8963316520165237, + -2.0175885324204774, + -2.131815688565969, + -2.2370278122859877, + -2.3313617300841596, + -2.413122688652174, + -2.4808273112033237, + -2.533242142808118, + -2.5694168033802613, + -2.588710892061925, + -2.590813933487255, + -2.5757578212118917, + -2.5439213924797843, + -2.4960269570966567, + -2.433128796884411, + -2.3565938462594174, + -2.2680749541502934, + -2.1694773080868126, + -2.0629187684058508, + -1.9506850100131674, + -1.8351804973175871, + -1.7188764216430907, + -1.604256807046456, + -1.4937640381083797, + -1.3897450807164582, + -1.2943996536523859, + -1.2097315652159988, + -1.1375043561939941, + -1.0792022899591605, + -1.0359976047916057, + -1.0087247956897927, + -0.9978625265711687, + -1.0035235928907347, + -1.0254531637265643, + -1.0630353359375553, + -1.115307835867064, + -1.1809845110388073, + -1.258485070058706, + -1.3459713579708086, + -1.4413893007625946, + -1.5425155202906944, + -1.6470075127983774, + -1.7524562030178616, + -1.8564396335284745, + -1.9565765268012054, + -2.050578465687693, + -2.1362994767430434, + -2.2117818687001187, + -2.27529727391308, + -2.325381961260808, + -2.36086563183304, + -2.380893070160003, + -2.3849381997858594, + -2.3728102782714826, + -2.3446521586425675, + -2.3009307371452707, + -2.2424198961908366, + -2.170176431924652, + -2.085509623524616, + -1.9899452520275192, + -1.8851850065376723, + -1.773062321945776, + -1.6554957722304184, + -1.5344411951400596, + -1.4118437463747107, + -1.2895910738506016, + -1.1694687655278553, + -1.0531191586341264, + -0.9420045056576178, + -0.8373753756064993, + -0.7402450307358698, + -0.6513703627537909, + -0.571239802399037, + -0.5000684365390107, + -0.4378003821024695, + -0.3841182808923176, + -0.3384595982754618, + -0.3000392364611047, + -0.26787781387094173, + -0.24083481995417394, + -0.21764573325258812, + -0.19696209259965086, + -0.17739343946846103, + -0.15755000543495387, + -0.1360850035618259, + -0.11173539657487762, + -0.08336005760078284, + -0.04997430984238905, + -0.010779928066643915, + 0.03481019529768118, + 0.08715337636787124, + 0.146364958152853, + 0.2123129509813291, + 0.2846196465805095, + 0.3626701750351887, + 0.4456277921861782, + 0.5324555086370331, + 0.6219435049109717, + 0.7127416246742374, + 0.8033961032063874, + 0.892389574893403, + 0.9781833143524902, + 1.0592606031677896, + 1.1341700797582068, + 1.2015679245395134, + 1.260257756479568, + 1.3092271698389009, + 1.3476799200758507, + 1.3750628736209696, + 1.3910869648895219, + 1.395741552323977, + 1.3893017297590855, + 1.3723283258891987, + 1.3456605086917934, + 1.3104010987235786, + 1.2678948805740613, + 1.219700380784954, + 1.1675557487200092, + 1.1133395299577216, + 1.0590272559031584, + 1.0066448850649774, + 0.9582202179564415, + 0.915733466615965, + 0.8810681897400929, + 0.8559638045357042, + 0.8419708565244438, + 0.8404101693094539, + 0.8523369091111179, + 0.8785104857584576, + 0.9193710754963316, + 0.9750233947256657, + 1.0452281814232804, + 1.1294016566848157, + 1.2266230470964357, + 1.3356500541583294, + 1.4549419645214938, + 1.5826899090843756, + 1.7168536045934841, + 1.8552037525989058, + 1.995369131349969, + 2.1348872999226707, + 2.2712577434336323, + 2.4019962258687872, + 2.524689084405774, + 2.6370461969756547, + 2.736951383285906, + 2.8225090579542313, + 2.8920860413887564, + 2.944347547502896 + ], + [ + 2.970577730569145, + 2.9927301719864996, + 2.9956600279728542, + 2.9793063254003775, + 2.9439774849581135, + 2.8903438786256315, + 2.8194222619770426, + 2.7325524567850477, + 2.6313668426528807, + 2.517753386010092, + 2.393813086653341, + 2.261812852420753, + 2.124134918410213, + 1.9832240058457917, + 1.8415334653866011, + 1.701471669195899, + 1.565349905023264, + 1.4353329842276485, + 1.3133937051545215, + 1.2012722153615085, + 1.100441193319122, + 1.0120776254606254, + 0.9370417914145852, + 0.875863892965372, + 0.8287385751339436, + 0.7955273953712624, + 0.7757691039475297, + 0.7686974099425359, + 0.7732657274223995, + 0.7881782298235976, + 0.8119263913175505, + 0.8428300656221152, + 0.87908204845824, + 0.918794992116698, + 0.9600494912345588, + 1.000942139009402, + 1.0396323630929856, + 1.0743868899537656, + 1.1036207544951258, + 1.125933866374332, + 1.1401422633375025, + 1.1453033219223845, + 1.1407343535165189, + 1.1260241849956274, + 1.1010375036762492, + 1.0659119315464445, + 1.0210479790275053, + 0.9670922092151201, + 0.9049141151204667, + 0.8355773705871202, + 0.7603062563488809, + 0.6804481826087367, + 0.5974333255814781, + 0.5127324652762574, + 0.42781415368673165, + 0.3441023554958926, + 0.2629356871095795, + 0.18552933476197325, + 0.1129406597665545, + 0.0460394005893948, + -0.01451674018302587, + -0.06830047762016109, + -0.11512680681662653, + -0.15505802839053245, + -0.18840179847666785, + -0.2157022470113284, + -0.23772438950652472, + -0.25543223327538916, + -0.26996114473152377, + -0.2825851957291103, + -0.29468034008208976, + -0.3076843829992526, + -0.32305479333746323, + -0.3422254690600145, + -0.3665635985128933, + -0.39732776322950353, + -0.4356284018066287, + -0.4823916995593787, + -0.5383278864800829, + -0.6039048185043917, + -0.6793275868753056, + -0.7645247507150364, + -0.8591416224817511, + -0.9625408589219357, + -1.07381042584712, + -1.1917788181734361, + -1.3150372318465364, + -1.4419682061725652, + -1.57078008817171, + -1.6995465190765864, + -1.8262500108519628, + -1.948828570981739, + -2.065224249564869, + -2.173432426168807, + -2.2715506264101024, + -2.357825660649683, + -2.4306979095473733, + -2.488841642815541, + -2.5312003469179998, + -2.55701615255804, + -2.5658525908279213, + -2.5576100645180118, + -2.532533594481365, + -2.4912125858963647, + -2.4345725512492917, + -2.3638589211719174, + -2.2806132661508145, + -2.1866424368615123, + -2.0839813039254644, + -1.9748499349749193, + -1.8616061841604048, + -1.7466947832485904, + -1.632594111403304, + -1.521761880422929, + -1.4165810021197038, + -1.3193069038936154, + -1.2320175273492837, + -1.1565671837498201, + -1.094545350651779, + -1.0472413783710468, + -1.015615935785818, + -1.000279865760917, + -1.0014809450406565, + -1.019098856067234, + -1.0526484833925323, + -1.101291449899033, + -1.163855612730628, + -1.238862050403368, + -1.3245588955963892, + -1.4189612069084636, + -1.5198959313118963, + -1.6250508905644498, + -1.7320266323056686, + -1.83838992218211, + -1.9417276186405705, + -2.03969966779411, + -2.130089982049488, + -2.210854022284503, + -2.2801619878476553, + -2.3364366293932917, + -2.378384833794495, + -2.4050222847531537, + -2.415690673420506, + -2.4100671161281215, + -2.3881656266940055, + -2.350330684018967, + -2.297223127070831, + -2.229798794170457, + -2.1492804972175725, + -2.057124079883674, + -1.954979447999342, + -1.844647577002714, + -1.7280345925890457, + -1.6071040844370619, + -1.4838288476020947, + -1.3601432510981455, + -1.2378974083206575, + -1.1188142700094226, + -1.0044506788577414, + -0.8961633177650219, + -0.7950803538621077, + -0.7020794311278646, + -0.617772499456585, + -0.5424977916053317, + -0.47631907600283063, + -0.4190321275576542, + -0.37017817503472095, + -0.32906390688193704, + -0.29478745200771883, + -0.26626960206989847, + -0.24228941107738713, + -0.2215231997812915, + -0.20258590912764549, + -0.18407369101057733, + -0.16460659706857123, + -0.14287022795443016, + -0.11765523629420768, + -0.08789363561240025, + -0.05269095330973434, + -0.011353376133580754, + 0.036590831339779674, + 0.09137620425228958, + 0.1529916551083243, + 0.22117898026770866, + 0.29543834283310844, + 0.375040596981223, + 0.45904613963507424, + 0.5463298041171294, + 0.6356111514139529, + 0.7254893719697849, + 0.8144818881483524, + 0.9010656477998441, + 0.9837200253047755, + 1.0609701999577064, + 1.1314298638290823, + 1.1938421228076743, + 1.2471174951481163, + 1.2903679805663701, + 1.3229362680708536, + 1.3444192699531563, + 1.354685309744972, + 1.353884449997148, + 1.3424516175227643, + 1.3211023649874414, + 1.2908212939001666, + 1.2528433504967416, + 1.208628388040359, + 1.159829562113418, + 1.1082562851798945, + 1.0558326090207857, + 1.0045520249716213, + 0.9564297691231249, + 0.9134537902765921, + 0.8775355806260821, + 0.8504620817224375, + 0.8338498608459508, + 0.8291027058055647, + 0.8373737104595533, + 0.8595328206950844, + 0.8961406836589939, + 0.9474294947561899, + 1.0132913709158402, + 1.0932745989052481, + 1.1865879184304822, + 1.2921128060231573, + 1.4084235320209582, + 1.5338145740596782, + 1.6663347910517734, + 1.8038275960494172, + 1.9439762187656335, + 2.084353022505382, + 2.2224717389646096, + 2.3558414103110135, + 2.4820207830214405, + 2.598671883261966, + 2.7036115195592982, + 2.794859504779252, + 2.8706824649075804, + 2.9296322050116888, + 2.9705777305691443 + ], + [ + 2.988596386843346, + 2.9987690459813585, + 2.989627414869619, + 2.961343680176932, + 2.9144560021915997, + 2.8498561024273745, + 2.768768925249051, + 2.6727248594273316, + 2.5635251812922495, + 2.443201540794494, + 2.3139704514361275, + 2.178183861320086, + 2.0382769726897454, + 1.8967145391271807, + 1.7559369015891495, + 1.6183070259520989, + 1.486059775729798, + 1.361254594885208, + 1.245732688676124, + 1.141079677437228, + 1.0485945619306778, + 0.9692656827809791, + 0.9037541844171028, + 0.8523853101311089, + 0.8151476638640387, + 0.7917003808505375, + 0.7813879580498111, + 0.7832623110521058, + 0.7961114513857559, + 0.8184940210757407, + 0.848778783739873, + 0.8851880567817875, + 0.9258439801071672, + 0.968816455367683, + 1.012171557451519, + 1.0540192174898655, + 1.0925590039937836, + 1.1261228850939546, + 1.153213938726628, + 1.1725400868116163, + 1.1830420611958883, + 1.183914960028151, + 1.174622919454248, + 1.1549066028749408, + 1.1247833940118865, + 1.0845403660533768, + 1.0347202825255633, + 0.9761010616602391, + 0.9096693004992513, + 0.8365886036804953, + 0.7581635910855941, + 0.6758005650831779, + 0.5909658993366267, + 0.505143265063018, + 0.4197908359212799, + 0.3362996087837748, + 0.2559539446532316, + 0.17989537280372805, + 0.10909061343627195, + 0.04430466200092287, + -0.013920355285662414, + -0.0652799969003567, + -0.10971560054582676, + -0.14741544077347002, + -0.1788089151743217, + -0.2045539070012755, + -0.2255176507681686, + -0.24275159781077008, + -0.2574609366587472, + -0.27096956433850955, + -0.284681425802092, + -0.3000392364611045, + -0.3184816747851249, + -0.34140017623617813, + -0.37009647528491524, + -0.4057420284439796, + -0.4493404084499769, + -0.5016936889471794, + -0.5633737419977412, + -0.6346992498513536, + -0.7157190906412326, + -0.8062025985520497, + -0.9056370264888606, + -1.0132323576681506, + -1.1279334263923897, + -1.2484391222209155, + -1.373228270482601, + -1.5005916101493026, + -1.6286691318410365, + -1.7554918981682712, + -1.8790273493068261, + -1.9972270016972897, + -2.1080753795158924, + -2.2096389788693567, + -2.300114054608205, + -2.3778720395830955, + -2.441501455694774, + -2.4898452540827196, + -2.522032626424353, + -2.5375044580760293, + -2.5360317435755753, + -2.517726452214202, + -2.4830445119050246, + -2.432780769020827, + -2.368055975609864, + -2.2902960486761135, + -2.201204034281454, + -2.1027253874645617, + -1.9970073429808997, + -1.8863532975991202, + -1.773173248534393, + -1.659931431482886, + -1.5490923731786568, + -1.443066615628077, + -1.3441573811081309, + -1.254509428304182, + -1.1760613010242473, + -1.110502092914255, + -1.0592337463806445, + -1.0233397740389178, + -1.0035611395909623, + -1.0002798657609167, + -1.013510753897561, + -1.0429014075276422, + -1.0877405551936596, + -1.1469744711195493, + -1.2192311004019774, + -1.3028513131849175, + -1.3959265440655706, + -1.4963419228795578, + -1.601823874656354, + -1.7099910630204038, + -1.8184074751273307, + -1.9246363991839217, + -2.026294028805364, + -2.121101442271, + -2.206933748757551, + -2.2818652667226007, + -2.3442096999359463, + -2.392554401700805, + -2.425787964456726, + -2.443120536571877, + -2.4440964466382433, + -2.4285989035704527, + -2.3968467336426915, + -2.3493833085335996, + -2.28705800674854, + -2.2110007298385157, + -2.1225901602593416, + -2.0234165954836714, + -1.9152403195071543, + -1.7999465751264603, + -1.679498275867297, + -1.5558876434284532, + -1.4310879739173665, + -1.307006723653862, + -1.1854410633243841, + -1.068036978924039, + -0.9562529010745323, + -0.851328723453963, + -0.7542609293137795, + -0.6657843859957883, + -0.586361195029427, + -0.5161768041401954, + -0.4551434019013576, + -0.4029104304794258, + -0.35888187160897694, + -0.32223979010104836, + -0.29197346211203035, + -0.2669132759959542, + -0.2457684753016651, + -0.22716771929114893, + -0.20970136857146232, + -0.19196436370920966, + -0.1725985539852669, + -0.15033335196999031, + -0.12402363684179649, + -0.09268390409903751, + -0.055517759600107935, + -0.011941979141482028, + 0.03839550209776263, + 0.09560414659754175, + 0.15954622290899104, + 0.2298391910604526, + 0.3058650080779037, + 0.38678611563052745, + 0.4715676966943134, + 0.5590056234504421, + 0.6477593685894588, + 0.7363890205987123, + 0.8233954338288728, + 0.9072624589787135, + 0.9865001413005889, + 1.0596877438346348, + 1.12551545213832, + 1.1828236453675944, + 1.2306386755295577, + 1.268204180888452, + 1.2950070688046744, + 1.3107974350245761, + 1.315601837352406, + 1.3097295079740552, + 1.2937712663202272, + 1.268591078818754, + 1.2353103985765954, + 1.1952856022699043, + 1.1500790186767924, + 1.1014242088990234, + 1.0511863082019297, + 1.0013183697562584, + 0.9538147580683173, + 0.9106627217765385, + 0.8737933296432503, + 0.8450329785378907, + 0.8260566772699423, + 0.8183442753070059, + 0.8231407414679581, + 0.8414215060988058, + 0.8738637631948302, + 0.9208244892365494, + 0.9823257765361831, + 1.0580479045062607, + 1.1473303867127163, + 1.2491810393955594, + 1.3622929230378205, + 1.485068817301264, + 1.615652705927334, + 1.7519675765493352, + 1.8917586850111634, + 2.032641298581211, + 2.1721518207385797, + 2.307801114771624, + 2.4371287864036217, + 2.557757158489484, + 2.6674436742231866, + 2.76413049921908, + 2.845990156496704, + 2.9114661202915983, + 2.9593074125246663, + 2.988596386843345 + ], + [ + 2.9982510703398844, + 2.9963520349068817, + 2.9751987220971707, + 2.9351950337187787, + 2.8771043367699387, + 2.80203218617785, + 2.7114013877981886, + 2.6069199939139227, + 2.490542990246159, + 2.364428581811148, + 2.2308901112350705, + 2.0923447443229, + 1.9512601313370275, + 1.8101002968194628, + 1.6712720248512354, + 1.5370729900910736, + 1.40964283823043, + 1.290918343839946, + 1.1825936708688238, + 1.086086633859894, + 1.0025117094229075, + 0.9326603813491793, + 0.8769892230615853, + 0.8356159323100255, + 0.8083233397942501, + 0.7945712204743222, + 0.7935155484480753, + 0.8040346580347386, + 0.8247616094573025, + 0.8541219112612827, + 0.8903756268894056, + 0.9316627926553823, + 0.9760510011166924, + 1.021583959255352, + 1.0663298159428705, + 1.1084280681589773, + 1.1461338998787087, + 1.1778588802341436, + 1.2022070465916574, + 1.218005521008554, + 1.224328952003614, + 1.2205172340466366, + 1.2061861305788357, + 1.1812306083416837, + 1.1458208767343263, + 1.1003913111675936, + 1.045622619290332, + 0.9824177790289393, + 0.91187243335543, + 0.8352405646956209, + 0.7538963884767146, + 0.6692934976045849, + 0.5829223553813712, + 0.49626727191981423, + 0.4107640075879515, + 0.327759126263977, + 0.24847217176869588, + 0.1739616640649041, + 0.10509580964926518, + 0.04252869563039396, + -0.013317407524065458, + -0.06226316999819676, + -0.10437646105215827, + -0.1399696291881256, + -0.16958987393860966, + -0.19400295995590622, + -0.21417069853317372, + -0.23122278536053262, + -0.24642373205113, + -0.26113575897446706, + -0.2767786248889735, + -0.29478745200771855, + -0.31656966131747644, + -0.34346216073622315, + -0.37668992728538675, + -0.4173270938519889, + -0.46626159203758516, + -0.5241643164681982, + -0.5914636648864093, + -0.6683261751075872, + -0.754643827802108, + -0.8500284168499042, + -0.9538132108730061, + -1.0650619449386514, + -1.1825849949630962, + -1.304962403713422, + -1.4305732511194809, + -1.5576306973115845, + -1.6842218785464969, + -1.8083517077366622, + -1.9279895259329993, + -2.041117471538783, + -2.1457793823238056, + -2.240129022848119, + -2.3224764373526408, + -2.3913312654475307, + -2.445441924205309, + -2.4838296539994, + -2.5058165443909943, + -2.5110467976986905, + -2.49950064816673, + -2.4715005299834565, + -2.4277092735155317, + -2.3691203014646365, + -2.2970399905073777, + -2.2130625545858944, + -2.119037988686038, + -2.017033782170238, + -1.9092912643188755, + -1.7981775778758375, + -1.6861343857868878, + -1.5756244992372763, + -1.469077669459497, + -1.3688368102120776, + -1.2771059116794803, + -1.1959008699128362, + -1.1270043896724673, + -1.0719260242224637, + -1.0318682955314074, + -1.0076996953510222, + -0.9999352052377035, + -1.0087247956897918, + -1.033850175515402, + -1.0747298669158274, + -1.1304324843231657, + -1.1996979005677761, + -1.2809657971977177, + -1.372410921264852, + -1.4719842128659715, + -1.5774588300118026, + -1.6864799833224564, + -1.7966174053637123, + -1.905419220245316, + -2.010465949800885, + -2.109423393926125, + -2.2000931543850797, + -2.28045963277333, + -2.3487324227964392, + -2.403383132338801, + -2.4431758090883173, + -2.4671903013119385, + -2.474838058839169, + -2.4658700641180338, + -2.440376774805361, + -2.3987801530245094, + -2.341818047411765, + -2.270521377696095, + -2.186184743325482, + -2.0903312333781416, + -1.9846723508954431, + -1.8710640775601606, + -1.751460191612219, + -1.6278640109829294, + -1.5022797634712293, + -1.3766647857427659, + -1.2528837231085925, + -1.132665843277217, + -1.0175664911312732, + -0.9089336002942877, + -0.8078800436801981, + -0.7152624527641942, + -0.6316669678451531, + -0.5574022033215479, + -0.4924995274679659, + -0.4367205700195919, + -0.38957168772021744, + -0.350324942453703, + -0.31804498304871026, + -0.29162107440190194, + -0.26980338987642866, + -0.25124257816937584, + -0.2345315365929327, + -0.21824827092442456, + -0.20099869890275762, + -0.18145826061312384, + -0.15841123420223246, + -0.13078671866727729, + -0.09769033522167642, + -0.05843081265314884, + -0.012540757242554995, + 0.040208939240394675, + 0.0998014330982212, + 0.16597320694528378, + 0.23822031405746427, + 0.3158114280088044, + 0.39780735858042143, + 0.48308652532510543, + 0.5703757234695376, + 0.6582853770230537, + 0.7453483546014719, + 0.8300613276180658, + 0.910927580603349, + 0.9865001413005892, + 1.0554240849576944, + 1.116476883285126, + 1.1686057135243346, + 1.2109607158946165, + 1.2429232865796556, + 1.2641286159412117, + 1.2744818247727794, + 1.2741672115737384, + 1.2636502970445531, + 1.243672533950758, + 1.2152387366257522, + 1.1795974700144838, + 1.1382148186382441, + 1.0927421266420696, + 1.0449784568586877, + 0.9968286556158077, + 0.9502580272962928, + 0.9072447154301235, + 0.8697309529555954, + 0.839574381499937, + 0.8185006470726529, + 0.8080584571478466, + 0.8095782321888866, + 0.8241354044277397, + 0.8525193100444552, + 0.8952084903519816, + 0.9523530663263892, + 1.023764682501705, + 1.1089143349701893, + 1.206938208420311, + 1.3166514534529727, + 1.4365696425936163, + 1.5649374562033889, + 1.6997639724966835, + 1.8388637734624742, + 1.979902934676834, + 2.120448845348991, + 2.2580227084870996, + 2.390153502212405, + 2.5144321437267556, + 2.6285645882653554, + 2.730422616818312, + 2.8180911180019272, + 2.8899107499878482, + 2.9445149759269222, + 2.9808605982439444, + 2.998251070339884 + ], + [ + 2.999460098067586, + 2.9854995877704686, + 2.9524960229254216, + 2.9010816154073513, + 2.8322385006844177, + 2.7472767418490966, + 2.647805004950395, + 2.5356945991841036, + 2.4130377318756766, + 2.282100963938223, + 2.1452749633225534, + 2.0050217392016343, + 1.8638205962054717, + 1.7241140746059513, + 1.5882551383413532, + 1.4584568383150247, + 1.3367456143954604, + 1.2249193076032232, + 1.1245108363940008, + 1.036758350662806, + 0.9625825175807559, + 0.9025714185794262, + 0.8569733510323835, + 0.8256976360267183, + 0.8083233397942501, + 0.8041156256403291, + 0.8120492702397554, + 0.8308387074353683, + 0.8589738083354101, + 0.8947604723074501, + 0.9363649926503168, + 0.9818610759473535, + 1.0292783373701413, + 1.0766510668192497, + 1.1220660633348867, + 1.163708367519791, + 1.1999037828856594, + 1.2291571654446418, + 1.2501855742280412, + 1.2619455108184958, + 1.2636536299819165, + 1.2548004721769261, + 1.235156947841653, + 1.204773488397859, + 1.1639719652201679, + 1.1133306607207947, + 1.053662750619418, + 0.9859889190339345, + 0.9115048741881105, + 0.8315446586523036, + 0.7475407509872452, + 0.6609820329083081, + 0.5733707457373178, + 0.4861795807650704, + 0.40081003973913243, + 0.31855316428322905, + 0.24055366764011576, + 0.1677784104064656, + 0.10099004625324141, + 0.0407265269569366, + -0.012712998109135083, + -0.05927552063440317, + -0.09915455987172567, + -0.13278358856977918, + -0.1608226720300496, + -0.18413867166158204, + -0.20377953315200253, + -0.2209433348948524, + -0.23694291065404424, + -0.2531669780802103, + -0.2710387986145173, + -0.2919734621120301, + -0.3173349294336501, + -0.3483939772382203, + -0.38628817092681317, + -0.4319849445578776, + -0.48624879169938034, + -0.5496134704455324, + -0.622360001687614, + -0.7045010952690692, + -0.7957724774679064, + -0.8956314193543928, + -1.0032625833143258, + -1.117591118971976, + -1.237302754559014, + -1.3608704501124522, + -1.4865870092720903, + -1.6126028911715373, + -1.7369683269130605, + -1.8576787298734738, + -1.9727222985605883, + -2.080128647270694, + -2.1780172650635974, + -2.2646445985361323, + -2.3384485787662976, + -2.3980894671018067, + -2.442485976932296, + -2.4708457372643755, + -2.4826892962097875, + -2.477867015205043, + -2.4565683741990525, + -2.419323390045315, + -2.3669960404691426, + -2.3007697795900066, + -2.2221254233108962, + -2.1328118692098164, + -2.03481029129086, + -1.9302926107352254, + -1.8215751856568485, + -1.7110687822938988, + -1.6012259840822647, + -1.4944872613078812, + -1.3932269608463554, + -1.299700481918118, + -1.2159938796062546, + -1.143977083644242, + -1.0852618369624853, + -1.041165348671448, + -1.0126805222012594, + -1.000453464450276, + -1.0047688097714256, + -1.0255432076189706, + -1.0623271291836003, + -1.114314951062823, + -1.1803630777422984, + -1.2590156741729572, + -1.3485373996476917, + -1.4469523688827368, + -1.5520884197030527, + -1.6616256425650426, + -1.7731480283235623, + -1.8841970195392876, + -1.992325708922662, + -2.095152417196469, + -2.190412401957465, + -2.2760064985077055, + -2.3500455718472137, + -2.410889764107894, + -2.4571816510418123, + -2.4878725715428813, + -2.502241561855566, + -2.4999065069643054, + -2.480827311203325, + -2.445301083712651, + -2.393949527236606, + -2.327698906185873, + -2.2477531472781886, + -2.1555607891066173, + -2.0527766416927182, + -1.9412191399601728, + -1.8228244731552101, + -1.6995986432048595, + -1.5735686471816357, + -1.4467339914876698, + -1.3210197278770226, + -1.198232154537886, + -1.0800182504218105, + -0.9678298097960082, + -0.8628931192138367, + -0.7661848739353648, + -0.6784148689719727, + -0.6000158254718215, + -0.5311405305068895, + -0.4716662820633788, + -0.42120644585167866, + -0.3791287510796219, + -0.3445797830616073, + -0.31651497569075726, + -0.2937332702368184, + -0.2749154920401015, + -0.2586654062931994, + -0.2435523504601052, + -0.22815430552510865, + -0.21110026202740043, + -0.19111075982500814, + -0.16703553211218855, + -0.1378872630380771, + -0.10287057230758354, + -0.06140546672185704, + -0.013144644503114396, + 0.042015800268859496, + 0.10393255281123866, + 0.17221823202401207, + 0.24625144116568745, + 0.3251934514123889, + 0.40801108112837997, + 0.49350517102490443, + 0.5803439079832253, + 0.6671001219203169, + 0.7522915739582553, + 0.8344231730381236, + 0.91203000408632, + 0.9837200253047758, + 1.0482152958103106, + 1.1043906276519966, + 1.1513086174149751, + 1.188250100686182, + 1.214739185445568, + 1.2305621551643497, + 1.2357796856934937, + 1.2307319880924346, + 1.2160366681841863, + 1.1925792783601337, + 1.1614967233655946, + 1.1241538647998546, + 1.0821138442561093, + 1.0371028079880436, + 0.9909698625966626, + 0.9456432177595253, + 0.9030835752431651, + 0.8652359006909405, + 0.8339807639463578, + 0.8110864536321956, + 0.7981630617605807, + 0.7966196944426707, + 0.8076258961830517, + 0.8320782793861801, + 0.8705732298533089, + 0.9233864161161902, + 0.9904596688994886, + 1.071395620756968, + 1.165460309288584, + 1.2715937548835392, + 1.3884283303690859, + 1.5143145500325097, + 1.6473537239012492, + 1.7854367543917677, + 1.9262882006443274, + 2.0675146048085367, + 2.2066559674899517, + 2.34123917918357, + 2.468832162824328, + 2.5870974608972985, + 2.6938440094524245, + 2.7870758806946907, + 2.865036844655479, + 2.9262496971574548, + 2.9695494235400997, + 2.994109412465411, + 2.999460098067586 + ], + [ + 2.9922132411047837, + 2.9663035211856834, + 2.921711392462454, + 2.8592920401980635, + 2.780238079210345, + 2.6860530252772614, + 2.5785178308822587, + 2.4596512743071504, + 2.3316651357381506, + 2.1969152160765995, + 2.0578493505912165, + 1.916953638093725, + 1.7766981453291368, + 1.639483354835787, + 1.5075886024849525, + 1.3831236988422013, + 1.267984847724911, + 1.1638158678865056, + 1.0719755923141006, + 0.993512167443115, + 0.9291448054353728, + 0.8792533607121632, + 0.8438759116641511, + 0.8227143345558247, + 0.815147663864038, + 0.8202528463619606, + 0.8368323197518889, + 0.8634476848670911, + 0.8984585973363731, + 0.9400658835986339, + 0.9863577901778443, + 1.0353582064660622, + 1.0850756615171582, + 1.1335518854112285, + 1.178908745753685, + 1.2193924192250933, + 1.2534137354732413, + 1.2795837340198295, + 1.2967436015814446, + 1.303988304044577, + 1.3006833905604749, + 1.2864746227110953, + 1.2612902650192095, + 1.2253360596249145, + 1.1790830930473595, + 1.1232489419606362, + 1.0587726533635764, + 0.986784268214823, + 0.9085697327141711, + 0.8255321545880868, + 0.7391504501863052, + 0.6509364897466599, + 0.5623918813442091, + 0.47496553803068786, + 0.3900131474470466, + 0.30875960944563335, + 0.23226542639558412, + 0.1613979249523172, + 0.09680805986441061, + 0.03891340314301908, + -0.012112240618019982, + -0.056342325674520695, + -0.09409407665145267, + -0.12591811607378317, + -0.152581483943992, + -0.17504449846091547, + -0.19443206858583575, + -0.21200021521617465, + -0.2290986845066309, + -0.24713064114801916, + -0.26751050850630687, + -0.2916210744019017, + -0.32077100461909513, + -0.3561539003428905, + -0.39881000072473205, + -0.449591568511921, + -0.5091329066819101, + -0.5778258395206604, + -0.6558013554112652, + -0.7429179541418909, + -0.8387570726515287, + -0.9426257840287284, + -1.0535667797458697, + -1.170375459186074, + -1.2916237681738938, + -1.4156902540467915, + -1.5407956431999377, + -1.6650431020939045, + -1.7864622181195002, + -1.9030556356506967, + -2.0128472076913493, + -2.113930476693574, + -2.2045162806594782, + -2.2829782930696494, + -2.3478953473053403, + -2.3980894671018063, + -2.4326586225272466, + -2.451003353688517, + -2.452846548865544, + -2.4382458265690086, + -2.4075981481373856, + -2.36163647461408, + -2.30141847419048, + -2.2283074797409674, + -2.1439460851581393, + -2.050222949660012, + -1.9492335465293604, + -1.8432357427206918, + -1.734601224712287, + -1.625763890681107, + -1.5191664069204442, + -1.4172061754426024, + -1.3221819786569358, + -1.2362425553681178, + -1.1613383203333034, + -1.099177368226019, + -1.0511868037789482, + -1.0184803154957374, + -1.0018327636351405, + -1.001662387729057, + -1.0180210587105407, + -1.0505928101731112, + -1.0987006869881515, + -1.161321752244291, + -1.2371099000368746, + -1.3244259367287945, + -1.4213742214186649, + -1.5258450016613256, + -1.6355614467394053, + -1.7481302712191509, + -1.8610947587812245, + -1.971988942380967, + -2.0783916729395244, + -2.177979315535434, + -2.268575849243494, + -2.34819921339642, + -2.4151028374466343, + -2.4678114114229555, + -2.5051500962326325, + -2.5262665342286157, + -2.5306451965625327, + -2.518113790532546, + -2.4888416428155415, + -2.4433301684106925, + -2.3823957255590305, + -2.307145339179681, + -2.218945945026898, + -2.1193879596921117, + -2.0102441140423766, + -1.893424596505185, + -1.7709296351742387, + -1.6448007020715258, + -1.5170715478101078, + -1.389720269843505, + -1.2646235826893575, + -1.143514394941968, + -1.027943707217041, + -0.9192477297484454, + -0.818520981136675, + -0.7265959742227842, + -0.6440299251697195, + -0.571098741862577, + -0.5077983622210064, + -0.4538533266097123, + -0.40873228590830285, + -0.37166997252710127, + -0.3416950000808613, + -0.317662712581774, + -0.2982921794842369, + -0.2822063317894155, + -0.26797415918833833, + -0.2541538407253831, + -0.2393356628382611, + -0.2221835892880942, + -0.20147438710977927, + -0.17613328023700098, + -0.14526519613578603, + -0.10818078820692809, + -0.06441655488676422, + -0.0137485317636738, + 0.04380079832124232, + 0.10796255459446807, + 0.17822846240710377, + 0.2538646254156602, + 0.33393170212524875, + 0.41731095516440814, + 0.5027354873365991, + 0.5888258416398648, + 0.6741290265506978, + 0.7571599358914616, + 0.8364440669030351, + 0.9105604024261077, + 0.9781833143524912, + 1.038122366010687, + 1.089358940430682, + 1.1310786982996308, + 1.162698971985589, + 1.183890327735235, + 1.1945916739212574, + 1.1950184553962568, + 1.18566364855382, + 1.167291454238526, + 1.1409237716106242, + 1.107819720789013, + 1.0694486609213414, + 1.027457318752753, + 0.9836317965276062, + 0.9398553632595844, + 0.8980630465990216, + 0.8601941308079379, + 0.8281437274326765, + 0.8037146175249886, + 0.7885705668007214, + 0.7841922877762771, + 0.7918371662630007, + 0.812503784935553, + 0.8469021660269385, + 0.8954305211942872, + 0.958159142484834, + 1.0348218978546455, + 1.1248156120110877, + 1.2272074229313519, + 1.3407500109223536, + 1.4639044052857813, + 1.5948698882575776, + 1.7316203414763347, + 1.8719462211103788, + 2.0135012078809322, + 2.153852461032204, + 2.2905333137416126, + 2.421097183830016, + 2.5431714395360987, + 2.654509956450541, + 2.7530431286081734, + 2.836924153604035, + 2.9045704970890625, + 2.954699554068907, + 2.986357660376106, + 2.998941764225594, + 2.992213241104784 + ], + [ + 2.976571811140622, + 2.938926242562151, + 2.883105282612188, + 2.8101798668071836, + 2.721543019443848, + 2.618879016808584, + 2.504126066439196, + 2.379433380221516, + 2.247113650818419, + 2.109592048200173, + 1.969352933285303, + 1.8288855369858164, + 1.6906298740657901, + 1.5569241516940588, + 1.4299548926773944, + 1.3117109241211689, + 1.2039422854194082, + 1.1081249874394195, + 1.0254324105665016, + 0.95671396647998, + 0.9024814711622455, + 0.8629034890684887, + 0.8378077152206006, + 0.8266912679777473, + 0.8287385751339424, + 0.8428463544497373, + 0.8676550211711457, + 0.901585703625108, + 0.9428819172781728, + 0.9896548408543778, + 1.0399310577829062, + 1.091701574279599, + 1.142970902946889, + 1.1918050083580929, + 1.2363769483844025, + 1.2750091110001367, + 1.30621103922904, + 1.3287119543712782, + 1.3414872266727096, + 1.3437781996315243, + 1.3351049452086414, + 1.3152717080029086, + 1.2843649824227248, + 1.2427443533656026, + 1.1910264132366195, + 1.1300622417397572, + 1.0609090954333342, + 0.984797097557635, + 0.9030918415586475, + 0.8172539210080425, + 0.7287964718153253, + 0.6392418579604464, + 0.5500786483628025, + 0.4627200195926117, + 0.3784646773061336, + 0.29846131965675016, + 0.2236775703065006, + 0.1548741894966035, + 0.09258523197999224, + 0.03710466403655483, + -0.011520217730940854, + -0.05348840127519548, + -0.08923782536927753, + -0.11943129670411465, + -0.14493603386082513, + -0.16679738117434328, + -0.1862073886146791, + -0.20446908916378773, + -0.22295741931164886, + -0.2430778183198136, + -0.26622360549522656, + -0.29373327023681817, + -0.3268488161229009, + -0.3666762775893629, + -0.41414947633286164, + -0.4699980057083795, + -0.5347203270172446, + -0.6085627342849638, + -0.6915047970724755, + -0.7832517277161655, + -0.8832339442269703, + -0.9906139172825789, + -1.1043002039029184, + -1.2229683861775544, + -1.3450884554520137, + -1.4689580151689106, + -1.5927405233303125, + -1.7145076621648159, + -1.832284811449974, + -1.9440985159121722, + -2.0480247784373105, + -2.1422369810350026, + -2.225052235448569, + -2.294974995096827, + -2.350736819033217, + -2.3913312654475307, + -2.4160430048553563, + -2.4244703788156547, + -2.4165407855047945, + -2.3925184449752375, + -2.353004280253491, + -2.298927841097926, + -2.23153139056445, + -2.152346465763799, + -2.063163408626424, + -1.9659945355677837, + -1.863031772386131, + -1.7565997186237217, + -1.6491052205509384, + -1.542984621021409, + -1.440649915456588, + -1.34443507459795, + -1.2565437955887824, + -1.1789999133357216, + -1.1136016446239982, + -1.0618807495227018, + -1.0250675803217173, + -1.0040628503410887, + -0.9994167967791868, + -1.0113162371493822, + -1.0395798320323142, + -1.0836616723795338, + -1.1426631121708093, + -1.2153525716514153, + -1.3001928474120583, + -1.3953752878155836, + -1.4988600300394257, + -1.608421352227997, + -1.7216970743943265, + -1.836240847671933, + -1.9495761055594218, + -2.0592504144952213, + -2.162888955295027, + -2.258245891778243, + -2.343252437650809, + -2.4160605160156887, + -2.475081015665875, + -2.5190157818479992, + -2.5468826331589907, + -2.5580328668477335, + -2.5521608978304267, + -2.5293058676860127, + -2.4898452540827205, + -2.4344807037347898, + -2.3642164983821305, + -2.2803312388706534, + -2.1843434929086776, + -2.077972293587203, + -1.9630934948572265, + -1.8416930839953767, + -1.715818617429247, + -1.5875299835905574, + -1.458850703894257, + -1.331720960422847, + -1.2079534870876047, + -1.0891933813270884, + -0.9768827878624079, + -0.872231277369429, + -0.7761925944295571, + -0.6894482845482062, + -0.6123985335413659, + -0.5451603686298835, + -0.4875731837700487, + -0.4392113667705544, + -0.39940362722720407, + -0.3672584567043457, + -0.3416950000808611, + -0.3214784833483053, + -0.3052592317089942, + -0.29161422532094894, + -0.2790900805930428, + -0.26624631398389526, + -0.25169774352139074, + -0.23415491072095063, + -0.21246146149101558, + -0.18562750751075588, + -0.15285809730784458, + -0.11357605609030151, + -0.06743860197946304, + -0.014347309864746766, + 0.04554883150629916, + 0.11185734280922767, + 0.18395304882585767, + 0.26099545582362255, + 0.3419522505922496, + 0.4256282995459224, + 0.5106993816074268, + 0.5957497634426019, + 0.6793126232004102, + 0.7599122518561771, + 0.836106911536238, + 0.9065312091177603, + 0.9699368515237811, + 1.0252306863120293, + 1.0715089964969904, + 1.1080871104481558, + 1.134523503903661, + 1.1506377087441533, + 1.1565214987600796, + 1.1525429923340413, + 1.1393434915040368, + 1.1178270617750135, + 1.0891430426637025, + 1.0546618606269138, + 1.0159446891581434, + 0.9747076610662931, + 0.9327814812136215, + 0.8920674106414072, + 0.8544906919125871, + 0.821952558098218, + 0.7962820122254871, + 0.7791885789858, + 0.7722172155966638, + 0.7767065241894964, + 0.793751334961354, + 0.8241706293002741, + 0.8684816475611492, + 0.9268808801345979, + 0.9992324764579962, + 1.0850644286607611, + 1.183572698965232, + 1.2936332673762014, + 1.4138218833171028, + 1.5424411164559502, + 1.6775541226557478, + 1.8170243752128807, + 1.9585604634180969, + 2.0997649336667306, + 2.238186046015879, + 2.3713712437997514, + 2.4969210875709695, + 2.6125423884278467, + 2.7160992901696166, + 2.8056610943966382, + 2.879545696600932, + 2.9363576027139078, + 2.975019622059028, + 2.9947974811454947, + 2.99531676964194, + 2.976571811140623 + ], + [ + 2.952668141750426, + 2.903599376065387, + 2.837004318533421, + 2.75416060644511, + 2.65664990815037, + 2.5463230389512983, + 2.4252590996110532, + 2.2957195966101778, + 2.1600986209388884, + 2.0208702538233645, + 1.8805344311403085, + 1.7415625318645505, + 1.6063439589366566, + 1.4771349533978106, + 1.3560108252333085, + 1.2448226985407191, + 1.1451597565356493, + 1.0583178363109575, + 0.9852750675298207, + 0.9266750772049253, + 0.8828180986346211, + 0.8536601309609096, + 0.8388201013895353, + 0.8375947896361541, + 0.8489810883446621, + 0.8717049986015569, + 0.9042566004960872, + 0.9449300988130743, + 0.9918679267723199, + 1.0431077990570397, + 1.0966315413793835, + 1.1504144890005943, + 1.2024742417189405, + 1.2509175878798713, + 1.293984464228122, + 1.3300879004656643, + 1.3578490050722272, + 1.3761261795240414, + 1.384037898186843, + 1.380978557057539, + 1.3666270719981601, + 1.3409480916799676, + 1.3041858775015354, + 1.256851087577533, + 1.199700879894733, + 1.133712916458972, + 1.06005400156203, + 0.9800442194253352, + 0.8951175461594898, + 0.8067799955142013, + 0.7165664152165524, + 0.6259970794264609, + 0.5365352223159223, + 0.44954662807798834, + 0.36626233459952795, + 0.2877454231082226, + 0.21486275652142847, + 0.14826239779330389, + 0.08835728963474004, + 0.03531561238884838, + -0.010941938229415802, + -0.050737892928261454, + -0.08462689210852625, + -0.11337801188796054, + -0.13795100574785815, + -0.15946709414597343, + -0.17917507775279864, + -0.19841367347196845, + -0.21857107295160236, + -0.24104279831064346, + -0.2671889773630806, + -0.2982921794842367, + -0.3355169429095044, + -0.3798720849047022, + -0.43217681884636483, + -0.493031608454553, + -0.5627945715509064, + -0.6415641067001333, + -0.7291682593987996, + -0.8251611740162128, + -0.9288267977346891, + -1.0391898177937369, + -1.1550336280599671, + -1.2749249399854954, + -1.3972444809459548, + -1.5202230641157797, + -1.641982172471984, + -1.7605780788231034, + -1.8740484270299442, + -1.9804601293187716, + -2.0779573926319292, + -2.164808674459412, + -2.2394513859607272, + -2.3005332070899454, + -2.346948953813329, + -2.377872039583095, + -2.3927796995607813, + -2.391471293619522, + -2.3740791693141143, + -2.3410717447638896, + -2.2932486593736727, + -2.2317280329123808, + -2.1579260659427937, + -2.0735294022095028, + -1.9804608517137898, + -1.8808392374301441, + -1.776934274877174, + -1.6711175184114238, + -1.5658105080553943, + -1.4634313233941738, + -1.3663407947376014, + -1.2767896352163692, + -1.1968677403722676, + -1.1284568544751177, + -1.0731877263559322, + -1.032402773805435, + -1.0071251470403244, + -0.99803493148669, + -1.0054530618062374, + -1.029333336776739, + -1.069262732758987, + -1.1244700167001407, + -1.1938424627213033, + -1.2759502841027877, + -1.3690782095876943, + -1.4712634638181836, + -1.5803392605063113, + -1.6939827872907296, + -1.8097665562810397, + -1.925211916576104, + -2.037843476426145, + -2.1452431643416943, + -2.245102670744986, + -2.3352730543688383, + -2.413810369449943, + -2.4790162690377633, + -2.529472663976766, + -2.5640696632389877, + -2.5820261856742976, + -2.582902811851848, + -2.5666066330905553, + -2.5333880483875153, + -2.483829653999401, + -2.4188275601605285, + -2.339565650194016, + -2.247483464680925, + -2.1442385433262356, + -2.031664186067942, + -1.911723699711474, + -1.7864622744353602, + -1.6579576840683778, + -1.528271023955599, + -1.3993986901188447, + -1.2732267636283823, + -1.1514888957240659, + -1.0357286940489683, + -0.9272674908409857, + -0.827178233121273, + -0.7362660763978384, + -0.6550560911757988, + -0.5837883099734557, + -0.5224201561485371, + -0.47063610931570926, + -0.42786428015170813, + -0.39329939448209156, + -0.3659315270314494, + -0.344579783061607, + -0.32793000484301066, + -0.3145754824966419, + -0.3030595775983046, + -0.29191912478221677, + -0.27972746243996743, + -0.26513595877801294, + -0.24691294352956306, + -0.22397902734774316, + -0.19543788847453045, + -0.1606017271745102, + -0.1190107295500239, + -0.07044604011405711, + -0.014935912872648041, + 0.047245110672290404, + 0.11558396578480849, + 0.18934355868876618, + 0.26758360233758555, + 0.3491872393440212, + 0.43289274577581305, + 0.517329475688153, + 0.6010570938798752, + 0.6826070562961922, + 0.7605252360139028, + 0.8334145594247, + 0.8999765129598969, + 0.9590504056257436, + 1.0096493261581398, + 1.0509918144537922, + 1.0825283730975872, + 1.1039620736499167, + 1.1152626606759695, + 1.1166737205896307, + 1.1087126581447229, + 1.09216340643184, + 1.0680619819367831, + 1.03767517991731, + 1.002472882430478, + 0.9640946173222007, + 0.9243111571702499, + 0.8849820787236761, + 0.8480103124455804, + 0.8152947955375847, + 0.788682398123642, + 0.7699203195976188, + 0.7606101497129928, + 0.7621647567711846, + 0.7757691039475296, + 0.8023460058043717, + 0.8425277224945823, + 0.8966341518102058, + 0.9646582224061547, + 1.046258919044368, + 1.140762186772212, + 1.2471697700758841, + 1.3641758499210872, + 1.490191150961928, + 1.623374007764826, + 1.7616677071889626, + 1.9028432683397103, + 2.0445466856316066, + 2.184349547846794, + 2.3198018594692096, + 2.4484858321964964, + 2.5680693858700745, + 2.6763580998812295, + 2.771344388421765, + 2.8512527350173467, + 2.914579912145158, + 2.9601292282325993, + 2.987037984157684, + 2.9947974811454947, + 2.9832650978089545, + 2.9526681417504275 + ], + [ + 2.92070446879377, + 2.8606218029715422, + 2.7837985352431827, + 2.6917082074035092, + 2.5861077704159188, + 2.468998948110029, + 2.342584180624905, + 2.209218179963404, + 2.0713562326270867, + 1.931500459473669, + 1.7921452888752083, + 1.6557234148673645, + 1.5245534969235437, + 1.4007908126696509, + 1.286382000423341, + 1.183024926756528, + 1.092134587867387, + 1.0148158055376595, + 0.951843312497552, + 0.90364964221397, + 0.8703210488818607, + 0.8516014893816831, + 0.8469045049258569, + 0.8553326508039153, + 0.875703942674594, + 0.9065846216292114, + 0.9463273918032209, + 0.9931141572341395, + 1.0450021820120716, + 1.099972521992485, + 1.1559795292187884, + 1.211000212802614, + 1.2630822526617358, + 1.3103895048050644, + 1.3512439076331098, + 1.384162796139361, + 1.4078907524453246, + 1.421425263678145, + 1.4240356181884375, + 1.4152746444654432, + 1.3949830794724674, + 1.363286539917668, + 1.320585256514218, + 1.2675369129059035, + 1.2050331031085317, + 1.1341700797582075, + 1.0562146062307494, + 0.9725658453176245, + 0.8847143126641845, + 0.7941989922557461, + 0.702563752202976, + 0.611314210964431, + 0.521876186716395, + 0.4355568163400592, + 0.35350935666815037, + 0.27670258113384977, + 0.20589556235373774, + 0.14161848859209814, + 0.08416000313406043, + 0.03356138438639436, + -0.010382294619702187, + -0.048114071178952784, + -0.08030028745105586, + -0.10780947515400792, + -0.13168549610368802, + -0.1531156549210584, + -0.17339463253224288, + -0.19388519969757648, + -0.21597675590154153, + -0.24104279831064335, + -0.2703984566270314, + -0.30525923170899405, + -0.346702048703919, + -0.3956296797878499, + -0.45273950879011277, + -0.5184975020483849, + -0.593118119470401, + -0.676550750222245, + -0.7684730924560458, + -0.8682917201620952, + -0.9751498970030084, + -1.0879425114630341, + -1.205337824491511, + -1.3258055446540755, + -1.447650581079167, + -1.5690516753756092, + -1.6881039839911143, + -1.802864575496737, + -1.9113997257733542, + -2.011832840167259, + -2.102391806814456, + -2.181454590226624, + -2.2475919088669305, + -2.2996059040604226, + -2.3365637986994643, + -2.357825660649682, + -2.36306552473308, + -2.352285285293133, + -2.3258209447805784, + -2.2843409882986485, + -2.228836845090302, + -2.160605590842953, + -2.0812252346786, + -1.9925231171008713, + -1.8965381154750485, + -1.7954775076025502, + -1.691669477790974, + -1.5875123601787309, + -1.485421798184651, + -1.387777054695605, + -1.2968677335500245, + -1.2148421683249377, + -1.1436586994382472, + -1.0850409959352594, + -1.0404384855651594, + -1.0109928380877222, + -0.997511305039373, + -1.0004475578537133, + -1.0198904891827216, + -1.0555612537954493, + -1.1068186301187473, + -1.1726725860759946, + -1.2518057381750587, + -1.3426022055302915, + -1.4431831852287975, + -1.5514484164278204, + -1.665122561659803, + -1.7818054183919043, + -1.8990247847308876, + -2.0142907424288703, + -2.1251500894824202, + -2.229239654344525, + -2.324337254054564, + -2.4084091186565177, + -2.4796526926100473, + -2.5365338383042735, + -2.577817604422096, + -2.6025918793722393, + -2.6102834234216368, + -2.600665958252444, + -2.5738601848858487, + -2.5303257955411107, + -2.4708457372643764, + -2.3965031703656754, + -2.3086517383249947, + -2.208879923643925, + -2.098970402300735, + -1.980855424678599, + -1.8565693403171486, + -1.7281994454662353, + -1.5978363647702352, + -1.4675251807801473, + -1.3392184974227535, + -1.2147325668339173, + -1.0957075245921954, + -0.9835726685550273, + -0.8795175840167494, + -0.7844697661450516, + -0.6990792234510228, + -0.6237103676241376, + -0.5584413099036474, + -0.5030704969061938, + -0.4571304341719853, + -0.41990806824058374, + -0.39047123224418584, + -0.36770040993388764, + -0.35032494245370255, + -0.33696269427469877, + -0.3261621121498649, + -0.316445555762135, + -0.3063527522368122, + -0.2944832294773731, + -0.27953661522619494, + -0.2603497489832949, + -0.23592964086105697, + -0.20548142286612311, + -0.16843057112307844, + -0.12443882878940822, + -0.07341342500304675, + -0.01550936093958488, + 0.04887528452989668, + 0.11911089460452126, + 0.1943543858431556, + 0.27357332625687075, + 0.3555754571018537, + 0.4390428333517763, + 0.522569675982703, + 0.6047029305345908, + 0.6839844534433057, + 0.7589937022412862, + 0.828389789085588, + 0.8909517696480472, + 0.9456160809168481, + 0.9915101109065655, + 1.0279809789453036, + 1.0546187247313692, + 1.0712732447535076, + 1.0780644724447321, + 1.0753854696445582, + 1.063898277288992, + 1.0445225582061688, + 1.0184172498182213, + 0.9869556247797513, + 0.9516943285710262, + 0.9143371204836704, + 0.8766941842922618, + 0.840637993632311, + 0.808056811658902, + 0.7808069724936921, + 0.7606651314925122, + 0.7492816813975038, + 0.7481365116250498, + 0.7584982386747372, + 0.781387958049811, + 0.8175484639875903, + 0.8674197552033746, + 0.931121495849008, + 1.0084429345989014, + 1.0988406052599609, + 1.2014439439518516, + 1.315068765343445, + 1.4382383483968022, + 1.5692116952950659, + 1.7060183503293842, + 1.846499002870247, + 1.988350954187478, + 2.1291774054017725, + 2.2665394263101843, + 2.3980093946788106, + 2.5212246546192625, + 2.633940131928747, + 2.7340786641004176, + 2.8197778526770843, + 2.889432324560195, + 2.9417303949200457, + 2.9756842549364655, + 2.9906529595831515, + 2.986357660376106, + 2.9628887113237865, + 2.9207044687937698 + ], + [ + 2.8809512194075966, + 2.810357132996567, + 2.723938077744003, + 2.62335104523831, + 2.510513424646415, + 2.3875609410828478, + 2.2568007767062057, + 2.1206609714083697, + 1.9816372866445269, + 1.8422387740515838, + 1.7049333186301134, + 1.5720944237666976, + 1.4459504723456866, + 1.3285376354862664, + 1.221657509612795, + 1.1268404458817072, + 1.0453153963357225, + 0.9779869419847608, + 0.9254199932453139, + 0.8878324671062663, + 0.8650960525998524, + 0.8567449813701158, + 0.8619925281174119, + 0.8797547811490763, + 0.9086810506838734, + 0.9471901261386725, + 0.9935114571608384, + 1.04573021995052, + 1.1018351431545754, + 1.1597679083730996, + 1.217472910468729, + 1.2729461630469334, + 1.3242821645772536, + 1.369717599805129, + 1.4076708377979597, + 1.436776299934658, + 1.455912905521402, + 1.464225956083576, + 1.461141987867104, + 1.4463763014366093, + 1.4199330629770879, + 1.3820980593356562, + 1.33342437329352, + 1.2747114224330436, + 1.206977969856768, + 1.131429863829083, + 1.0494233924613412, + 0.9624252456634579, + 0.8719701571356189, + 0.7796173522132137, + 0.686906951639968, + 0.5953174762856208, + 0.5062255636386834, + 0.42086894451658907, + 0.34031363947608995, + 0.26542622117367787, + 0.1968518543237898, + 0.1349986723712316, + 0.08002888342104342, + 0.03185682159189095, + -0.009846021739979807, + -0.04563913474656181, + -0.07629461643007948, + -0.10277279884281824, + -0.12619251397507988, + -0.14779679954950065, + -0.16891495813525906, + -0.19092198077790126, + -0.21519641725765196, + -0.24307781831981337, + -0.27582488964019936, + -0.31457548249664175, + -0.36030950244980475, + -0.4138157458557015, + -0.4756635765024555, + -0.5461802335066228, + -0.6254344198387646, + -0.7132266620154651, + -0.8090867595709098, + -0.9122784622166186, + -1.0218113276506766, + -1.1364595284411774, + -1.2547871969328306, + -1.375179727244057, + -1.4958802974355034, + -1.6150307368019423, + -1.7307157464918892, + -1.841009389288999, + -1.944022698791175, + -2.0379512211275412, + -2.121121294784207, + -2.1920338963568855, + -2.2494049316597633, + -2.292200931411499, + -2.319669216803224, + -2.331361730084159, + -2.327151875737112, + -2.3072438851988037, + -2.2721743983208365, + -2.2228061434501774, + -2.160313790498893, + -2.086162242932823, + -2.002077820511886, + -1.9100129602656957, + -1.8121052242342603, + -1.710631544945966, + -1.607958759893651, + -1.506491581396057, + -1.4086192158005302, + -1.3166618842728397, + -1.232818505428431, + -1.159116777525106, + -1.0973668453503875, + -1.049119655525299, + -1.0156309956479705, + -0.9978320801138435, + -0.996307391772505, + -1.0112803175313672, + -1.0426069317400246, + -1.089778088159267, + -1.1519297842256897, + -1.227861564958259, + -1.316062542993048, + -1.4147444305183121, + -1.5218808127085517, + -1.6352517446613117, + -1.7524926284072508, + -1.8711462263322023, + -1.988716594741376, + -2.1027236780548786, + -2.2107572912750983, + -2.3105292361894345, + -2.3999223447949047, + -2.4770353204429556, + -2.5402223512831954, + -2.588126599152227, + -2.619706816929361, + -2.6342565148677646, + -2.631415277383114, + -2.6111720217930583, + -2.5738601848858482, + -2.520145017191565, + -2.4510033536885185, + -2.367696408789797, + -2.2717363084581828, + -2.164847219185137, + -2.0489220587893207, + -1.9259758745317543, + -1.7980970475123585, + -1.6673975269853256, + -1.5359633131012886, + -1.405806391385274, + -1.27881927746804, + -1.1567332574132596, + -1.0410813093331273, + -0.9331665684218151, + -0.8340370532085224, + -0.7444672093971856, + -0.6649466531922833, + -0.5956763128985713, + -0.5365719804221798, + -0.4872750977758643, + -0.4471704224619806, + -0.4154100441901777, + -0.3909430680457777, + -0.37255013986187707, + -0.3588818716089763, + -0.3485001310034365, + -0.33992109253878716, + -0.33165890837995005, + -0.3222688479372687, + -0.3103887746299116, + -0.29477787679601375, + -0.2743516456277837, + -0.2482121944329174, + -0.21567313783982986, + -0.17627839359115208, + -0.12981442963264633, + -0.07631565122751344, + -0.016062802435422786, + 0.05042556107062057, + 0.12240828985459694, + 0.1989431364238746, + 0.2789139518067401, + 0.36106285665281423, + 0.44402652974997175, + 0.5263756480253672, + 0.6066564279788902, + 0.6834331612386068, + 0.7553306080070704, + 0.8210751123497054, + 0.879533332594372, + 0.9297475378632363, + 0.9709665065264274, + 1.0026711720524486, + 1.0245942936039467, + 1.0367335794987607, + 1.0393578575552491, + 1.0330060632110039, + 1.0184789997076376, + 0.9968240099607527, + 0.9693128823175491, + 0.937413487638362, + 0.9027558085917781, + 0.8670931695813308, + 0.8322596035698024, + 0.8001243969653267, + 0.7725449329772012, + 0.7513190053697791, + 0.7381377969584912, + 0.7345407098434097, + 0.7418731973445809, + 0.7612486817095361, + 0.7935155484480749, + 0.839230089835585, + 0.8986361295661609, + 0.9716519011412862, + 1.0578645782348681, + 1.1565326702459064, + 1.266596305075132, + 1.3866952285433052, + 1.5151941605525623, + 1.6502149667542545, + 1.7896749356145376, + 1.9313302985515184, + 2.072823999041243, + 2.2117366085435024, + 2.3456392054937574, + 2.4721469805074774, + 2.5889723077156597, + 2.6939760294284802, + 2.78521573899325, + 2.860989913911572, + 2.91987684642119, + 2.9607674395555867, + 2.9828910802608624, + 2.9858339640075346, + 2.9695494235400997, + 2.934360003636526, + 2.880951219407599 + ], + [ + 2.8337447240702605, + 2.7532306279934695, + 2.6579293925934886, + 2.549667452473395, + 2.430506433213895, + 2.3026980202603187, + 2.1686346542695363, + 2.030797205002039, + 1.8917008458725018, + 1.7538403918071477, + 1.6196363731371588, + 1.4913830976698115, + 1.371199902359289, + 1.2609867164215556, + 1.1623849512820856, + 1.076744602048218, + 1.0050982934869341, + 0.9481428345031702, + 0.906228663010665, + 0.8793573723405782, + 0.8671873156214799, + 0.8690470906565283, + 0.8839565194605928, + 0.910654558397779, + 0.9476334111164342, + 0.9931779711875945, + 1.045409598024981, + 1.1023331312626017, + 1.161885977631357, + 1.2219880621723826, + 1.2805914232977582, + 1.3357282489636302, + 1.3855561985174198, + 1.4283999303501023, + 1.4627878573600064, + 1.4874832778015652, + 1.5015091751551686, + 1.5041661435150502, + 1.4950430705445374, + 1.474020393879401, + 1.4412659343615795, + 1.3972234959673457, + 1.3425946031017233, + 1.2783139165618524, + 1.2055190256866892, + 1.1255154521383208, + 1.0397378169953544, + 0.9497082145245823, + 0.8569929008963608, + 0.76315844265963, + 0.6697284771450748, + 0.5781422150040164, + 0.48971576443601106, + 0.40560727864954244, + 0.3267868247619203, + 0.254011746335581, + 0.1878081462938415, + 0.12845895577143385, + 0.07599888163781368, + 0.030216345377902926, + -0.009337656701477353, + -0.04333402271322777, + -0.07264376883502144, + -0.09831059551510558, + -0.12151853247644458, + -0.1435555279545524, + -0.16577395463432132, + -0.18954908688587468, + -0.2162366590379681, + -0.24713064114801886, + -0.28342236632380463, + -0.32616211214986474, + -0.3762241789310296, + -0.43427642076003425, + -0.50075507399729, + -0.5758455943945513, + -0.6594700621315912, + -0.7512815472699838, + -0.850665650741706, + -0.9567492524377793, + -1.068416312859876, + -1.1843303928103366, + -1.3029633813169759, + -1.422629759828661, + -1.5415255847903933, + -1.6577712447293493, + -1.7694569451815148, + -1.874689797814482, + -1.9716413409696165, + -2.0585942988779933, + -2.133987396597769, + -2.196457087133143, + -2.2448751153459963, + -2.278380938562572, + -2.296408143932335, + -2.2987041447141743, + -2.2853425982944953, + -2.2567281639627947, + -2.213593403993276, + -2.1569878228507218, + -2.088259231648326, + -2.0090278135913096, + -1.9211534463811157, + -1.826697004967064, + -1.7278765184576321, + -1.6270191846977025, + -1.526510351738138, + -1.4287406545142247, + -1.3360525455035577, + -1.2506874786476359, + -1.1747349958253284, + -1.1100849248390678, + -1.0583838281415754, + -1.0209967440396919, + -0.9989751391945821, + -0.9930318458515667, + -1.0035235928907347, + -1.0304415604709003, + -1.0734101980948039, + -1.1316943499661807, + -1.204214534303044, + -1.2895700296122976, + -1.3860692355299822, + -1.4917666031987213, + -1.604505274487404, + -1.7219644344403642, + -1.8417102704485753, + -1.961249347449281, + -2.078083153013809, + -2.1897625408023838, + -2.293940806139313, + -2.3884241632300696, + -2.471218458895701, + -2.5405710510073316, + -2.5950068987489296, + -2.633358053478861, + -2.6547858998056664, + -2.658795672580861, + -2.645242962511947, + -2.61433211642209, + -2.5666066330905553, + -2.5029318473305704, + -2.4244703788156565, + -2.3326509936710336, + -2.2291316818346774, + -2.1157578879092993, + -1.9945169444252313, + -1.8674898414549308, + -1.7368015233532472, + -1.604570930736147, + -1.4728620030765327, + -1.343636824657331, + -1.21871203498648, + -1.0997195357690943, + -0.9880724124465977, + -0.8849368520654789, + -0.7912106842871063, + -0.7075090026091252, + -0.6341571426111731, + -0.5711911077876329, + -0.5183653459524508, + -0.4751675949816909, + -0.44084034039171816, + -0.4144082633193342, + -0.3947109099424775, + -0.3804396859056991, + -0.37017817503472006, + -0.3624447030937516, + -0.3557360164633089, + -0.3485709236044824, + -0.33953275451184867, + -0.3273095297882547, + -0.3107307955178392, + -0.28880017108148676, + -0.26072277210219036, + -0.22592680687516956, + -0.18407879844947111, + -0.13509205206411737, + -0.0791281646403265, + -0.016591554994671836, + 0.0518828242534194, + 0.12544825407913227, + 0.203070987524577, + 0.2835602948783811, + 0.3656030121136253, + 0.4478016706437238, + 0.5287151915704427, + 0.6069010587404267, + 0.6809578438636097, + 0.7495669447460459, + 0.8115324146921667, + 0.8658178069432473, + 0.911579031519736, + 0.948192321206864, + 0.975276526194359, + 0.9927090999888608, + 1.0006352990831084, + 0.9994702914844291, + 0.9898940502442954, + 0.9728390930414442, + 0.9494713129975766, + 0.9211643246038017, + 0.8894679173914193, + 0.8560713645166796, + 0.8227624698179468, + 0.7913833516626613, + 0.7637840520831372, + 0.741775122963425, + 0.7270803757111708, + 0.7212909859654664, + 0.7258221202250456, + 0.7418731973445806, + 0.7703928158829167, + 0.8120492702397549, + 0.8672074469826382, + 0.9359127409302619, + 1.01788246211805, + 1.112505023845357, + 1.2188470130264668, + 1.3356680516851709, + 1.4614431673854495, + 1.5943922053946444, + 1.7325156410085505, + 1.873635991053737, + 2.0154438830847337, + 2.1555477227170527, + 2.2915258068397506, + 2.4209796654725615, + 2.5415873794314767, + 2.65115561568433, + 2.7476691475098716, + 2.8293366817663563, + 2.894631899438524, + 2.9423287261690834, + 2.971529984039803, + 2.981688731202419, + 2.972621768314024, + 2.9445149759269222, + 2.8979203405235894, + 2.833744724070263 + ], + [ + 2.779484371093498, + 2.689725604044614, + 2.5863309431372814, + 2.4712808256457603, + 2.346763691469455, + 2.21512816435351, + 2.078831738606336, + 1.9403871688720273, + 1.8023078132966466, + 1.667053203054873, + 1.5369761031525246, + 1.4142722909177776, + 1.3009342106114534, + 1.1987095668179457, + 1.1090657980958305, + 1.0331612287635212, + 0.9718235342095701, + 0.9255359777467944, + 0.8944316891315669, + 0.8782960610536479, + 0.8765771449152723, + 0.8884037358295902, + 0.9126106536498177, + 0.9477705564521918, + 0.9922314693768733, + 1.044159078797127, + 1.1015827326397614, + 1.162444004927575, + 1.2246466282094304, + 1.286106572734251, + 1.34480105652589, + 1.3988153056966315, + 1.4463859484282844, + 1.4859400173695159, + 1.5161286513930192, + 1.5358547257621593, + 1.5442937962729757, + 1.5409079139137563, + 1.5254520477208717, + 1.4979730402626583, + 1.4588012078807941, + 1.4085348817744947, + 1.3480183616450743, + 1.2783139165618524, + 1.2006686139261549, + 1.1164768832851264, + 1.0272398241840037, + 0.9345223437389547, + 0.8399092583114799, + 0.7449615134175593, + 0.6511736663858715, + 0.5599337376019544, + 0.47248646948040174, + 0.38990093933813696, + 0.3130433554990767, + 0.24255572824179822, + 0.17884095212615075, + 0.12205466775439466, + 0.07210409342305392, + 0.028653834915524586, + -0.008861500502458371, + -0.04121823736982779, + -0.06937863248856324, + -0.09446061743019252, + -0.11770309560626122, + -0.14042772321310434, + -0.16399819634036805, + -0.1897781333250651, + -0.21908868032631387, + -0.2531669780802099, + -0.29312660858720696, + -0.33992109253878705, + -0.3943114327830895, + -0.45683859793259635, + -0.5278017158517783, + -0.6072426023353297, + -0.6949370894137802, + -0.7903934444365157, + -0.8928579897344664, + -1.0013278478170438, + -1.114570553366741, + -1.2311500953961352, + -1.3494587853240856, + -1.4677541936608376, + -1.5842002633580863, + -1.6969115951204643, + -1.803999811988484, + -1.903620849576502, + -1.99402198609827, + -2.0735874236397462, + -2.1408812592118225, + -2.1946867403599133, + -2.2340407842214085, + -2.25826284890676, + -2.2669773792890404, + -2.2601292024896846, + -2.237991417811307, + -2.2011655074453857, + -2.1505735835181112, + -2.0874428792756823, + -2.013282782711537, + -1.9298548949943686, + -1.839136769110132, + -1.7432801418877033, + -1.6445646111099579, + -1.5453478252604842, + -1.4480133437132563, + -1.354917387557349, + -1.268335734161239, + -1.1904120111453416, + -1.123108617515047, + -1.0681614419277128, + -1.0270394617774137, + -1.0009101940353697, + -0.9906118322874509, + -0.9966327474548827, + -1.019098856067234, + -1.057769173886483, + -1.112039678675061, + -1.180955408673978, + -1.2632305277060374, + -1.3572758985037392, + -1.4612335274886101, + -1.5730170811377122, + -1.6903575302307108, + -1.8108528571715068, + -1.9320206661606631, + -2.0513524685663636, + -2.1663683780263736, + -2.274670942507007, + -2.373996863898343, + -2.4622654091358087, + -2.5376223989698, + -2.5984787693188234, + -2.6435428329453994, + -2.671845522713105, + -2.682758068136412, + -2.6760017401331795, + -2.6516494903348473, + -2.610119506309017, + -2.552160897830426, + -2.478831917164199, + -2.3914712936195217, + -2.2916634250795203, + -2.1811983128745256, + -2.06202724777218, + -1.9362153510945834, + -1.8058921437531894, + -1.6732013557107415, + -1.540251198152327, + -1.4090663003324453, + -1.2815424632628858, + -1.1594053044483048, + -1.0441737637855348, + -0.937129313187066, + -0.839291564710589, + -0.7514008077127299, + -0.6739078289340767, + -0.6069711848996205, + -0.5504619082062424, + -0.5039754428606701, + -0.46685042347601985, + -0.43819374331990746, + -0.4169112011475324, + -0.40174288028687183, + -0.3913022989357627, + -0.38411828089231653, + -0.37867843315576966, + -0.3734730825106938, + -0.36703851813415833, + -0.35799841149892436, + -0.345102337707034, + -0.3272604024805066, + -0.3035730842810333, + -0.2733555287206928, + -0.23615567929226491, + -0.1917657907432106, + -0.14022704500989966, + -0.08182717010533672, + -0.017091145131417528, + 0.05323474497234758, + 0.12820506780518817, + 0.20670301565707697, + 0.2874730453069133, + 0.36915751171464445, + 0.4503363166328001, + 0.5295685130208827, + 0.6054347531322611, + 0.6765794436234005, + 0.7417514756574883, + 0.7998424316532746, + 0.8499212322480276, + 0.8912642756713557, + 0.9233802348611145, + 0.9460288124712126, + 0.9592329070523097, + 0.9632838112935251, + 0.9587392410905603, + 0.9464141778825401, + 0.9273646915531017, + 0.9028650925602887, + 0.8743789352627082, + 0.8435245552588309, + 0.8120359678675587, + 0.7817200789733877, + 0.7544112601586873, + 0.7319244147476397, + 0.7160077081337886, + 0.708296153292884, + 0.710267230157709, + 0.7231996757557909, + 0.7481365116250491, + 0.7858532776820046, + 0.8368323197518883, + 0.901243834327389, + 0.9789342122956782, + 1.0694220473138691, + 1.1719019885354205, + 1.2852564260641561, + 1.4080748055503252, + 1.5386801804834456, + 1.6751624316261615, + 1.8154174171122825, + 1.957191168125156, + 2.0981281174829105, + 2.2358222450796994, + 2.367869947567907, + 2.491923391863229, + 2.605743094253772, + 2.7072484796015908, + 2.7945652180975395, + 2.86606820927892, + 2.920419182837209, + 2.956598010741618, + 2.9739269723762516, + 2.9720873801782397, + 2.9511281536567733, + 2.9114661202915983, + 2.853878018024046, + 2.7794843710934978 + ], + [ + 2.718629227616586, + 2.6203793423889628, + 2.509748484656455, + 2.388854351088727, + 2.25999370090228, + 2.12559225396921, + 1.988151803019404, + 1.850195772835008, + 1.7142144944233666, + 1.5826114666832594, + 1.4576518519644797, + 1.3414143958287565, + 1.2357478766499554, + 1.142233079541822, + 1.0621511542171822, + 0.9964590610873105, + 0.9457726380241201, + 0.9103576359535115, + 0.8901288793452297, + 0.8846575124192111, + 0.8931860982764583, + 0.9146511509121553, + 0.9477125037436988, + 0.9907887571735884, + 1.0420979057114506, + 1.0997021257276727, + 1.1615556108677054, + 1.2255542757537465, + 1.2895861113853868, + 1.351580968445395, + 1.4095585676008238, + 1.4616735881987497, + 1.5062567670998182, + 1.5418510456899932, + 1.5672419326424876, + 1.5814813994783639, + 1.5839047916198996, + 1.574140415276281, + 1.5521116456889765, + 1.518031590359282, + 1.4723905271859563, + 1.4159365173147145, + 1.3496497614720164, + 1.274711422433044, + 1.1924677712534948, + 1.104390627651998, + 1.0120351527018794, + 0.9169961126451083, + 0.8208637647276809, + 0.7251805187425964, + 0.6313995014575283, + 0.5408460960376884, + 0.45468344640352676, + 0.37388280932014684, + 0.29919950765651504, + 0.23115508998931028, + 0.1700261383410789, + 0.11583999149471161, + 0.06837747044747325, + 0.02718250975031186, + -0.008421581639829688, + -0.03930967921777104, + -0.06652683192168701, + -0.09125543714481275, + -0.11477848368695652, + -0.1384398479686172, + -0.16360270697210577, + -0.1916071822589521, + -0.2237283517320351, + -0.26113575897446656, + -0.30485551414963685, + -0.35573601646330866, + -0.414418237653818, + -0.4813113911450065, + -0.5565746752370831, + -0.6401056244344707, + -0.731535434585507, + -0.8302314491666967, + -0.9353068102690616, + -1.0456370932654546, + -1.159883563411551, + -1.276522520328535, + -1.3938800367968487, + -1.5101712556113218, + -1.623543286047388, + -1.732120642899768, + -1.83405209862878, + -1.9275577747857016, + -2.010975283791988, + -2.08280374679285, + -2.141744557429143, + -2.186737833971989, + -2.2169936016299063, + -2.232016870586095, + -2.2316259204597957, + -2.2159632648772694, + -2.1854989467010895, + -2.1410260008631106, + -2.0836481130933553, + -2.014759694417158, + -1.9360187783737608, + -1.8493133258594856, + -1.7567216869016171, + -1.660468115435834, + -1.5628743586264766, + -1.4663084432918623, + -1.3731318560272063, + -1.2856463587692952, + -1.206041696639744, + -1.1363454394959873, + -1.0783761530193006, + -1.033701020427064, + -1.0035989337808309, + -0.989029946814639, + -0.9906118322874504, + -1.0086043196668002, + -1.0429014075276422, + -1.09303195380273, + -1.1581685505950476, + -1.2371444934351088, + -1.3284784624254315, + -1.4304063493444994, + -1.5409194949467226, + -1.6578084485256603, + -1.7787112310062845, + -1.9011649765759644, + -2.02265974872986, + -2.1406932765066617, + -2.2528253368259428, + -2.3567305196688273, + -2.4502481540777676, + -2.531428243552734, + -2.5985723576360495, + -2.6502685498769756, + -2.6854195179065425, + -2.7032633854494583, + -2.703386664719968, + -2.6857291464073936, + -2.650580658727444, + -2.598569832041624, + -2.5306451965625323, + -2.448049123007, + -2.352285285293137, + -2.245080476392628, + -2.1283417395692266, + -2.004109884302744, + -1.8745105366587254, + -1.7417039258223632, + -1.6078346307825009, + -1.4749825032765502, + -1.3451159453821258, + -1.2200486535973551, + -1.1014008476304693, + -0.9905658838283105, + -0.8886830132262832, + -0.7966168861428959, + -0.7149442330553961, + -0.6439479695060356, + -0.5836187855616517, + -0.5336640925629281, + -0.4935240162384997, + -0.46239395029335195, + -0.43925302265537486, + -0.4228976816881523, + -0.4119794854278423, + -0.40504607633044504, + -0.4005842495782404, + -0.3970639764873153, + -0.39298222707606717, + -0.38690544776257496, + -0.3775095910845759, + -0.36361666317991503, + -0.3442268497293792, + -0.3185453996959357, + -0.2860035854510419, + -0.24627321420184994, + -0.19927433503916192, + -0.1451759641060611, + -0.08438983281499553, + -0.01755734608703587, + 0.054469885366371894, + 0.1306554071411691, + 0.20980849221986203, + 0.29061909945317166, + 0.37169628278081773, + 0.4516090234651923, + 0.5289283928910838, + 0.6022699167633493, + 0.6703350037652612, + 0.7319503231464272, + 0.7861040657793159, + 0.8319781007239169, + 0.8689751423451094, + 0.8967401689672675, + 0.9151754797758488, + 0.9244489385346945, + 0.9249951266184515, + 0.9175093094909857, + 0.9029343055207846, + 0.8824405292566134, + 0.8573996583633543, + 0.8293525398587245, + 0.7999721028738572, + 0.7710221780263208, + 0.7443132342460917, + 0.7216561296820667, + 0.7048150319073426, + 0.6954606924776444, + 0.6951252611365353, + 0.7051597954976608, + 0.7266955635025254, + 0.7606101497129918, + 0.8074992646040408, + 0.8676550211711452, + 0.941051288631251, + 1.0273365625472204, + 1.125834608516058, + 1.2355529471063333, + 1.3551990556740736, + 1.483203972768466, + 1.6177528077563372, + 1.7568214865842318, + 1.8982189085261316, + 2.039633552221621, + 2.1786834557079784, + 2.3129684073453585, + 2.4401231247512944, + 2.557870168638093, + 2.6640713385961594, + 2.7567763284563913, + 2.834267479213599, + 2.8950995561869703, + 2.938133592021189, + 2.9625639755343833, + 2.9679381249589563, + 2.95416825896265, + 2.9215349657417544, + 2.8706824649075804, + 2.8026056541156312, + 2.7186292276165895 + ], + [ + 2.6516941556906026, + 2.54577854377966, + 2.4288299394037094, + 2.303085394075447, + 2.1709305748964325, + 2.0348478034247264, + 1.8973620407969392, + 1.7609860769135213, + 1.628166198593006, + 1.5012295979923278, + 1.3823347386327078, + 1.2734258231637743, + 1.176192406357262, + 1.0920350712314357, + 1.0220379387624678, + 0.9669486159660428, + 0.9271660073004752, + 0.9027362247631708, + 0.8933566373694888, + 0.8983879056801264, + 0.9168736564439651, + 0.9475672708955339, + 0.9889650922066767, + 1.0393452071179132, + 1.0968108275039608, + 1.15933719266869, + 1.2248208350209675, + 1.2911300022922108, + 1.3561550097461064, + 1.4178573062905957, + 1.4743160786757574, + 1.5237712869563278, + 1.5646621203142128, + 1.5956599827119204, + 1.6156952596200242, + 1.6239772766442346, + 1.620007034251131, + 1.6035824856032181, + 1.5747963121864352, + 1.5340263397588576, + 1.4819189204865084, + 1.4193657814020562, + 1.347475000201798, + 1.2675369129059035, + 1.1809858805086435, + 1.0893589404306832, + 0.9942524409499125, + 0.897277801088805, + 0.8000175536388667, + 0.7039828148006914, + 0.6105732807432511, + 0.5210407803961062, + 0.43645731683657446, + 0.3576884092238107, + 0.28537240645139456, + 0.21990628613658084, + 0.16143828225199539, + 0.10986750596571467, + 0.06485054162776073, + 0.025814817958944518, + -0.008021622026234708, + -0.037624495522656114, + -0.06411249465764299, + -0.0887221719345408, + -0.1127694402587697, + -0.13760872054518286, + -0.16459083254855103, + -0.19502075910590103, + -0.2301164195355645, + -0.2709695643385089, + -0.31850985116264724, + -0.3734730825106936, + -0.4363744808755782, + -0.5074877494926223, + -0.5868305198968954, + -0.6741566246543286, + -0.768955459085683, + -0.8704585139136067, + -0.977652976115458, + -1.0893021125163602, + -1.2039719744249562, + -1.3200637963613568, + -1.4358513118469605, + -1.5495220781420789, + -1.6592217930834257, + -1.7631005035907714, + -1.8593595491586157, + -1.9462980562232295, + -2.0223578014808283, + -2.086165294072995, + -2.136569987356166, + -2.172677619314333, + -2.19387779445015, + -2.1998650564536066, + -2.1906528567830135, + -2.166579995694444, + -2.128309295022549, + -2.0768184516550843, + -2.013383212482923, + -1.9395532009085605, + -1.857120907074055, + -1.7680845243070162, + -1.6746054686443053, + -1.5789615528280998, + -1.4834968975084504, + -1.3905697477290189, + -1.302499419950063, + -1.221513632399108, + -1.149697468684871, + -1.0889451913611283, + -1.040916059229388, + -1.0069952110965352, + -0.9882605616256376, + -0.9854565146448576, + -0.9989751391945813, + -1.0288452775692085, + -1.0747298669158274, + -1.1359315611449639, + -1.2114065427247684, + -1.2997862191666418, + -1.3994063114084805, + -1.508342665428567, + -1.6244529585613214, + -1.7454233320259327, + -1.8688188645250685, + -1.9921367112568749, + -2.1128606705029878, + -2.2285159076078336, + -2.336722564418852, + -2.435247011132683, + -2.5220495562585667, + -2.5953275176051527, + -2.6535526706639634, + -2.6955022277031233, + -2.7202826579281707, + -2.727345832352427, + -2.716497162294693, + -2.6878955931447224, + -2.642045510488788, + -2.5797808090905012, + -2.502241561855566, + -2.410843901226918, + -2.3072438851988064, + -2.1932962604352726, + -2.071009152446817, + -1.942495804603836, + -1.8099245517695322, + -1.6754682490316473, + -1.541254380640199, + -1.409317048801872, + -1.28155198716632, + -1.1596756611167751, + -1.0451894084849682, + -0.9393494428197016, + -0.8431433901841181, + -0.7572738634535945, + -0.682149399433485, + -0.6178828982927541, + -0.5642975164627472, + -0.5209397779791309, + -0.48709948988448765, + -0.46183587921339, + -0.4440092164156129, + -0.432317056606908, + -0.4253341190537816, + -0.421554739513857, + -0.41943677154647313, + -0.4174457830722545, + -0.41409839396841724, + -0.4080036292751877, + -0.3979012198606034, + -0.3826958666355736, + -0.3614865934433268, + -0.3335904447627339, + -0.2985599340099907, + -0.2561938126803527, + -0.20654090565492622, + -0.1498969392576367, + -0.0867944714831618, + -0.017986213590483996, + 0.05557779558885147, + 0.13277854110750215, + 0.2123611434759669, + 0.29297184027547307, + 0.3731978461601183, + 0.4516090234651924, + 0.5268002468870023, + 0.5974333255814772, + 0.6622773550760318, + 0.7202464093981779, + 0.7704335498622656, + 0.8121402193829682, + 0.8449002076948803, + 0.868497510537546, + 0.8829775612641625, + 0.8886514825495911, + 0.8860931846560663, + 0.8761293205637946, + 0.8598222925540762, + 0.838446684893412, + 0.8134596685534126, + 0.7864660820716445, + 0.7591790336913744, + 0.7333769902139647, + 0.710858414469242, + 0.693395083458497, + 0.6826852612082109, + 0.6803079130450689, + 0.6876791309496639, + 0.7060118931936843, + 0.7362802066730045, + 0.7791885789857985, + 0.835147641804744, + 0.9042566004960867, + 0.9862930208177437, + 1.0807102858994475, + 1.1866428699298714, + 1.3029193836462125, + 1.4280831555603186, + 1.560419926588592, + 1.6979920589966238, + 1.8386784977127846, + 1.980219577164634, + 2.1202656434680724, + 2.2564283631468665, + 2.386333518072226, + 2.5076740438160057, + 2.6182620562243812, + 2.716078629117686, + 2.7993201342358134, + 2.8664400317635295, + 2.91618510415884, + 2.9476252550729116, + 2.9601761457856037, + 2.953614110147052, + 2.928082971429628, + 2.8840925763297984, + 2.8225090579542313, + 2.744537036198008, + 2.651694155690606 + ], + [ + 2.5792454563125062, + 2.4665543647301864, + 2.3442599148879424, + 2.2146995987931484, + 2.080327827799446, + 1.9436625518339974, + 1.8072305744101793, + 1.6735128355029087, + 1.5448909333255862, + 1.4235961244169175, + 1.3116619800173788, + 1.210881787012757, + 1.1227716659612064, + 1.048540239751951, + 0.9890655276858714, + 0.9448795651190736, + 0.9161610625541544, + 0.9027362247631706, + 0.9040876549108817, + 0.9193710754963322, + 0.9474394119569534, + 0.9868736105099533, + 1.0360194034733463, + 1.0930290967465932, + 1.1559073386781606, + 1.2225597399686832, + 1.290843152675371, + 1.358616384223098, + 1.4237901202886876, + 1.4843748584612981, + 1.5385257119038889, + 1.5845830273383463, + 1.6211078723545504, + 1.6469115804792698, + 1.661078695254018, + 1.6629828229093442, + 1.652295082857557, + 1.6289850316569139, + 1.593314124669751, + 1.5458219656437582, + 1.4873057732634805, + 1.4187936609105811, + 1.3415124772988547, + 1.2568510875775332, + 1.1663200836829175, + 1.0715089964969906, + 0.9740421387162937, + 0.8755342349084485, + 0.7775469934238669, + 0.6815477437592627, + 0.5888712034942547, + 0.5006853526095432, + 0.41796228208309877, + 0.34145475100199313, + 0.2716790354167452, + 0.2089044866543458, + 0.15315004100746307, + 0.10418774109755967, + 0.06155314637768466, + 0.024562330832865124, + -0.007665005500988228, + -0.03617694370109803, + -0.062156047082185056, + -0.08688225436937123, + -0.11169296273820582, + -0.13794137265689316, + -0.16695421308019512, + -0.19998998346112576, + -0.2381988377926508, + -0.28258519572910956, + -0.33397409775645004, + -0.39298222707606695, + -0.4599944026954006, + -0.5351462091388859, + -0.6183132716944673, + -0.7091075161247901, + -0.8068805725742825, + -0.9107342995065323, + -1.0195382195487366, + -1.1319534797482518, + -1.2464627784995495, + -1.3614055445967108, + -1.4750175144952777, + -1.5854737354880473, + -1.6909339281519655, + -1.7895890735534814, + -1.8797080510947557, + -1.9596831426280492, + -2.0280732379144957, + -2.0836436252690738, + -2.125401328197227, + -2.1526250521652686, + -2.1648889328709027, + -2.1620794254057167, + -2.1444048389179224, + -2.11239719974468, + -2.0669063131074985, + -2.009086084741855, + -1.9403733545412087, + -1.8624596797162987, + -1.77725668050531, + -1.686855722754547, + -1.593482854702666, + -1.4994500364663021, + -1.407103796995648, + -1.3187725222085669, + -1.2367136178525815, + -1.1630618003322688, + -1.0997797479611726, + -1.0486122942888432, + -1.011045265489659, + -0.988269957167579, + -0.9811541148809595, + -0.9902201303791801, + -1.0156309956479692, + -1.0571843734991164, + -1.114314951062823, + -1.1861050458227764, + -1.2713032375603395, + -1.3683506085231854, + -1.475413992957571, + -1.5904254702552858, + -1.7111271874309042, + -1.8351204700779293, + -1.9599180794333246, + -2.0829983991736585, + -2.2018602908654636, + -2.314077342670569, + -2.417350252295738, + -2.5095561318516726, + -2.588793598087786, + -2.6534226145198287, + -2.7020981797264483, + -2.7337971054143844, + -2.747837295069951, + -2.74388911502378, + -2.721978640118536, + -2.6824827512254386, + -2.6261162568351772, + -2.553911401091945, + -2.467190301311938, + -2.367531024835767, + -2.2567281639627934, + -2.1367488951070785, + -2.0096856111376433, + -1.8777062916703964, + -1.743003823084657, + -1.6077454971786758, + -1.4740239043279464, + -1.3438103941871054, + -1.2189122055345523, + -1.1009342686566221, + -0.9912465612229387, + -0.8909577550263448, + -0.8008957298784221, + -0.7215953564175571, + -0.6532937659792704, + -0.5959331375912758, + -0.5491708442824575, + -0.5123966179140478, + -0.4847562181987202, + -0.46518093177000014, + -0.4524220850492077, + -0.44508963372967186, + -0.44169379492117444, + -0.4406886177252115, + -0.4405163459302999, + -0.43965141360400634, + -0.4366429308606603, + -0.4301545625093638, + -0.4190007754202447, + -0.4021785293793369, + -0.37889360838040614, + -0.3485809315922023, + -0.31091834200691804, + -0.265833541975523, + -0.21350402411493347, + -0.15435002887857854, + -0.08902074177859136, + -0.018374119228617973, + 0.05654910221796904, + 0.13455650703010294, + 0.214339372840677, + 0.2945113625218335, + 0.3736494979468922, + 0.4503363166328001, + 0.5232020800868294, + 0.5909658993366257, + 0.6524746689097504, + 0.7067387548191321, + 0.7529634635577714, + 0.7905754256780703, + 0.8192431565618409, + 0.8388912052422137, + 0.849707465896487, + 0.8521434017731677, + 0.846907113438701, + 0.8349493677399691, + 0.8174428861205216, + 0.7957553662942524, + 0.7714168753273279, + 0.7460824007406904, + 0.7214904755357412, + 0.6994188997540254, + 0.6816386625566297, + 0.6698672227272989, + 0.6657223305241942, + 0.6706775692067737, + 0.6860207603630631, + 0.7128163141136944, + 0.7518725148489067, + 0.8037146175249866, + 0.8685644915019626, + 0.9463273918032203, + 1.0365862653604534, + 1.1386038165009138, + 1.2513323661476963, + 1.3734313476182718, + 1.5032920932574223, + 1.6390693851007672, + 1.778719073830137, + 1.9200409176569524, + 2.0607256602653834, + 2.1984052578861273, + 2.3307050827026687, + 2.455296875225461, + 2.5699511934196124, + 2.672588111925472, + 2.7613249606069705, + 2.834519957091671, + 2.8908106813945125, + 2.9291464599173644, + 2.9488138682279317, + 2.9494547236154602, + 2.931076115587538, + 2.894052210915431, + 2.8391177649782056, + 2.7673534682530923, + 2.680163451055108, + 2.579245456312506 + ], + [ + 2.501896078262449, + 2.3833770776446537, + 2.256753911784933, + 2.124444749064951, + 1.9889519998499745, + 1.8528079676872813, + 1.718519956849714, + 1.5885161118076043, + 1.4650932450477638, + 1.3503678602730302, + 1.2462314996361652, + 1.1543114382230413, + 1.0759376190987007, + 1.0121165710593236, + 0.96351288250529, + 0.9304386227029289, + 0.9128509105975067, + 0.9103576359535106, + 0.9222311427051675, + 0.9474294947561904, + 0.984624764692621, + 1.0322376203359531, + 1.0884773367780693, + 1.1513862360611289, + 1.2188874560080352, + 1.2888348762689594, + 1.3590639851481199, + 1.4274424562173313, + 1.491919219372703, + 1.5505708563666027, + 1.6016442247329183, + 1.643594314503543, + 1.6751164666165714, + 1.6951722272833132, + 1.7030082751427624, + 1.698168033702079, + 1.680495765937457, + 1.6501331364029703, + 1.6075084140659095, + 1.5533186716814156, + 1.4885055103048002, + 1.414224996238535, + 1.3318126384050186, + 1.2427443533656026, + 1.1485944600538107, + 1.0509918144537926, + 0.9515752343031855, + 0.8519493745130026, + 0.753642195190145, + 0.6580651164713086, + 0.5664768791043678, + 0.4799520288080113, + 0.3993548185062141, + 0.32531917874906496, + 0.2582352466678422, + 0.19824277174459595, + 0.1452315368788833, + 0.09884875027115414, + 0.05851318215314933, + 0.023435644979917306, + -0.007354749201264652, + -0.034979270696531936, + -0.06067404162710421, + -0.08575125098447775, + -0.11155815861220045, + -0.13943498991635617, + -0.17067285329829848, + -0.20647281343798102, + -0.24790722558750247, + -0.2958843796485708, + -0.35111741940720925, + -0.414098393968417, + -0.4850781678865513, + -0.5640527669995941, + -0.6507565723034813, + -0.7446625984885562, + -0.8449899114298794, + -0.9507180545743569, + -1.0606081724561633, + -1.1732303450943804, + -1.2869964842055521, + -1.4001979951371684, + -1.5110472809444875, + -1.6177220603597673, + -1.7184113922404234, + -1.8113622474998, + -1.8949254469030168, + -1.967599790112356, + -2.0280732379144952, + -2.075260074840236, + -2.1083330718626883, + -2.1267497863167675, + -2.1302722757787356, + -2.118979660979287, + -2.093273146023128, + -2.0538732879997066, + -2.0018094979681056, + -1.9384019465967581, + -1.865236235703737, + -1.7841313769148808, + -1.6971017861632718, + -1.6063141536196637, + -1.5140401790990472, + -1.4226062697582393, + -1.3343413772866863, + -1.2515242037470236, + -1.1763310273889265, + -1.1107853915178187, + -1.0567108609740015, + -1.015687982839207, + -0.9890164922318421, + -0.9776836827617088, + -0.9823397173019606, + -1.0032804916729328, + -1.0404384855651576, + -1.0933818458813676, + -1.161321752244291, + -1.2431279174520282, + -1.337351881959888, + -1.442257575745042, + -1.5558584476929227, + -1.6759603061529227, + -1.8002088783586914, + -1.926140984305313, + -2.051238135150057, + -2.1729813093311567, + -2.2889056327562263, + -2.3966536932372406, + -2.4940262537327156, + -2.579029193039247, + -2.649915594769526, + -2.7052220234885227, + -2.7437981678497425, + -2.764829191016692, + -2.767850304633048, + -2.7527532698061976, + -2.71978472240871, + -2.6695364157415193, + -2.6029276664605914, + -2.521180474943662, + -2.4257879644567257, + -2.3184769403671153, + -2.2011655074453866, + -2.075916796706697, + -1.9448899405503994, + -1.8102894940994414, + -1.6743145302507498, + -1.5391086353890204, + -1.4067120020974822, + -1.2790167553724003, + -1.1577265613842525, + -1.0443214549778927, + -0.9400286867416346, + -0.8458002360244606, + -0.7622974666326656, + -0.6898832213490173, + -0.6286214644091025, + -0.5782843923095152, + -0.5383667475123253, + -0.5081068913676531, + -0.4865140263200017, + -0.4724008073049003, + -0.4644204518806525, + -0.46110735127432634, + -0.4609201027693423, + -0.46228582969666193, + -0.4636446299918175, + -0.46349299840010644, + -0.4604251007691687, + -0.45317084054653056, + -0.44062974597580423, + -0.42189981926838416, + -0.3963006233174855, + -0.36339003388249086, + -0.3229742517179245, + -0.27511084561549654, + -0.22010477928616493, + -0.1584975578156474, + -0.09104980844718574, + -0.018717781144209893, + 0.05737558756012103, + 0.1359742625127272, + 0.21572644359840792, + 0.29522464113740704, + 0.3730474169626483, + 0.447801670643724, + 0.5181643346098836, + 0.5829223553813702, + 0.6410098804271511, + 0.691541640279312, + 0.7338416117012735, + 0.7674661675221465, + 0.7922210592085287, + 0.8081717358210798, + 0.8156466737345227, + 0.8152335710888929, + 0.8077684448607537, + 0.7943178520545403, + 0.7761546351754489, + 0.7547277613325319, + 0.7316269797403807, + 0.7085431600837466, + 0.6872252906632271, + 0.6694352074580103, + 0.6569011908315239, + 0.651271603836737, + 0.6540697539246932, + 0.6666511380294123, + 0.6901641799423172, + 0.7255154897776708, + 0.7733405700474614, + 0.8339807639463553, + 0.9074670920259617, + 0.9935114571608378, + 1.0915055186525882, + 1.20052734888561, + 1.3193557947591987, + 1.4464922759002683, + 1.5801895671200343, + 1.718486938296693, + 1.8592508651819948, + 2.0002203835270804, + 2.139056039935928, + 2.27339129897923, + 2.4008851997173326, + 2.519275017597273, + 2.626427680695738, + 2.7203887127273148, + 2.7994275286254076, + 2.862077990594502, + 2.907173241382826, + 2.933873964527746, + 2.941689375281103, + 2.930490417107009, + 2.9005148229129456, + 2.852363893053103, + 2.786991038942344, + 2.7056823370512237, + 2.610029528346629, + 2.5018960782624484 + ], + [ + 2.420300432279727, + 2.296950400009957, + 2.1670522704778508, + 2.0330844417603418, + 1.897576171900505, + 1.7630527218786276, + 1.6319807200821181, + 1.5067150165715262, + 1.3894482583112338, + 1.2821643498114899, + 1.1865968689607234, + 1.1041933875437628, + 1.0360865029988489, + 0.98307222587259, + 0.945596190161654, + 0.9237479656250496, + 0.9172635568139454, + 0.9255359777467932, + 0.9476335986355835, + 0.9823257765361838, + 1.02811510974026, + 1.0832755003229573, + 1.1458950742676017, + 1.2139228972560119, + 1.2852183392021457, + 1.357601883926578, + 1.4289061533262157, + 1.4970259185616868, + 1.5599659039911338, + 1.6158852519101994, + 1.663137605982859, + 1.7003058862595883, + 1.7262309659536519, + 1.7400336162138976, + 1.7411292560670493, + 1.7292352262176434, + 1.7043704929510206, + 1.6668478773056092, + 1.6172590902636301, + 1.5564530323464532, + 1.4855079812922112, + 1.4056984403563872, + 1.3184575485465593, + 1.2253360596249154, + 1.1279589764181617, + 1.027980978945305, + 0.9270418078883128, + 0.8267227584936837, + 0.7285054043478025, + 0.633733606589695, + 0.5435797736914761, + 0.45901622229280753, + 0.3807923536677545, + 0.3094182067077156, + 0.245154780740885, + 0.18801134433994876, + 0.13774976399434774, + 0.09389570376481036, + 0.05575636842709375, + 0.02244429267224814, + -0.00709347803575222, + -0.03404160936452966, + -0.05967901672916554, + -0.08533873058028131, + -0.11236616838465913, + -0.14207693564568716, + -0.17571529182391205, + -0.21441440136134843, + -0.25915944556627923, + -0.3107545989829847, + -0.3697947758563178, + -0.4366429308606601, + -0.5114135564449797, + -0.5939628605148785, + -0.6838859367200243, + -0.7805210596599712, + -0.8829610534010832, + -0.9900714984563507, + -1.1005153644517753, + -1.2127834875959234, + -1.3252301580509798, + -1.436112946297373, + -1.5436357830667744, + -1.6459942173362905, + -1.7414217135689167, + -1.8282358145256663, + -1.904882990528911, + -1.9699810202561088, + -2.0223578014808288, + -2.0610855714167093, + -2.0855096235246147, + -2.095270738226599, + -2.0903206957568656, + -2.070930406684231, + -2.0376903753578754, + -1.991503399235259, + -1.9335695981170942, + -1.8653640570134402, + -1.7886075499958063, + -1.7052309853899685, + -1.617334370724577, + -1.527141235022723, + -1.4369495628172757, + -1.3490803857424627, + -1.2658252413776734, + -1.1893937435487858, + -1.1218625125978532, + -1.065126688029673, + -1.020855189996162, + -0.9904508115855045, + -0.9750161128458311, + -0.9753259525507418, + -0.9918073381556681, + -1.0245271019596887, + -1.0731877263559297, + -1.1371314477200645, + -1.2153525716514153, + -1.3065177367355918, + -1.4089936745044416, + -1.5208818344462316, + -1.6400590791259442, + -1.7642235097048287, + -1.890944359929509, + -2.0177147999704674, + -2.142006422681106, + -2.2613241455917055, + -2.373260253194414, + -2.47554632601583, + -2.5661018550613437, + -2.6430784211608427, + -2.7048984265538407, + -2.7502874980718626, + -2.7782998342648644, + -2.788335939023671, + -2.7801523675005675, + -2.753863301939144, + -2.7099339707018, + -2.6491661185494415, + -2.572675925332558, + -2.4818649490917815, + -2.378384833794494, + -2.2640966675727947, + -2.1410260008631137, + -2.011314632313433, + -1.8771703413786298, + -1.7408157885048705, + -1.6044378157674446, + -1.4701383625719555, + -1.339888163100659, + -1.2154843158615856, + -1.0985127129517513, + -0.9903161901018992, + -0.8919691114355204, + -0.8042589388588153, + -0.7276751592198212, + -0.6624057572605594, + -0.6083412335586077, + -0.5650859788187044, + -0.5319766336999352, + -0.5081068913676529, + -0.49235804239620845, + -0.4834344224040339, + -0.47990280529723056, + -0.4802346921023429, + -0.4828503793338856, + -0.48616365324208, + -0.48862594798219733, + -0.48876882686473916, + -0.48524369577496185, + -0.47685773525950886, + -0.462605140649161, + -0.4416928852662687, + -0.41356036703143306, + -0.3778924599270286, + -0.3346256646914938, + -0.2839472334134513, + -0.2262873257929962, + -0.16230443609725742, + -0.09286450466676553, + -0.01901429180194505, + 0.05805025917532393, + 0.13701981270245042, + 0.2165106205028926, + 0.2951056414623435, + 0.3713966970849583, + 0.4440265297499725, + 0.5117296320625059, + 0.5733707457373173, + 0.6279799869266733, + 0.6747836402444971, + 0.7132297738122143, + 0.7430079596962549, + 0.7640625348061917, + 0.7765990028861659, + 0.7810833544926441, + 0.778234264366245, + 0.7690083097688435, + 0.7545785345161774, + 0.736306857005, + 0.7157109821114294, + 0.6944266223143689, + 0.6741659590634705, + 0.6566733780430257, + 0.6436795889305187, + 0.6368552894985523, + 0.6377655541372388, + 0.6478261174805907, + 0.6682626849427253, + 0.7000743344828662, + 0.7440019794130525, + 0.8005027428072821, + 0.8697309529555927, + 0.9515263097726804, + 1.0454095980249802, + 1.1505861389600498, + 1.2659569819488437, + 1.3901376467773732, + 1.5214840399784892, + 1.6581249897227734, + 1.7980006777394788, + 1.938906097656309, + 2.0785385407602854, + 2.2145480057193545, + 2.3445893509081626, + 2.4663749586440495, + 2.5777266611527567, + 2.676625689006124, + 2.761259443917107, + 2.8300639682059554, + 2.8817610813107204, + 2.9153892770668253, + 2.9303276211617604, + 2.9263120526666273, + 2.9034436728747597, + 2.862188794488446, + 2.8033707198759394, + 2.72815341391209, + 2.6380174300250987, + 2.5347286327946477, + 2.4203004322797312 + ], + [ + 2.335148854451799, + 2.2080055406273975, + 2.0759139074426027, + 1.94139162642012, + 1.8069734248035167, + 1.6751561844022838, + 1.5483450252098874, + 1.4288016240757804, + 1.3185959639335258, + 1.219562625593234, + 1.1332626239515433, + 1.060951656362344, + 1.0035554761366907, + 0.961652932494743, + 0.9354670339795849, + 0.9248641998718714, + 0.9293616682197353, + 0.9481428345031699, + 0.9800801064302193, + 1.0237646825017073, + 1.0775424991011644, + 1.139555446911374, + 1.2077868359009687, + 1.2801099918793788, + 1.3543387989736104, + 1.4282789629393369, + 1.4997787608629334, + 1.5667780636778634, + 1.627354468400634, + 1.6797654557506911, + 1.722485593822264, + 1.7542379370471555, + 1.7740189185718307, + 1.7811161996206646, + 1.775119117278321, + 1.7559215579492906, + 1.7237172729042785, + 1.6789878400932883, + 1.6224836581300484, + 1.55519852952933, + 1.4783385466775567, + 1.3932861317852117, + 1.3015601978269242, + 1.2047734883978585, + 1.1045882183051903, + 1.002671172052449, + 0.9006494233606466, + 0.8000678154371853, + 0.7023492895218936, + 0.6087590696981513, + 0.5203736071284311, + 0.4380550594606086, + 0.36243193441986216, + 0.2938863642966862, + 0.23254830429659257, + 0.1782967669460209, + 0.13076802153799932, + 0.08937050659325113, + 0.05330602909111243, + 0.021596661198972442, + -0.0068834024767377095, + -0.03337189274425644, + -0.05917939074925952, + -0.08564818326606902, + -0.11411015592727833, + -0.14584485778852255, + -0.1820388673453797, + -0.22374755780378822, + -0.27186029885627455, + -0.3270700449479317, + -0.38984814821661823, + -0.4604251007691694, + -0.5387777590665853, + -0.6246234367591282, + -0.7174210755299288, + -0.8163795208313861, + -0.9204727454446852, + -1.0284616832096358, + -1.1389221626330812, + -1.2502782697693209, + -1.3608403258541655, + -1.4688465413388125, + -1.5725073073877185, + -1.6700510111763032, + -1.7597702144067169, + -1.8400670166186666, + -1.909496436647525, + -1.9668066867747718, + -2.010975283791988, + -2.041240037711492, + -2.057124079883671, + -2.0584542348860375, + -2.045372201250567, + -2.018338180954415, + -1.9781267823134803, + -1.9258152109329802, + -1.862763953986108, + -1.7905903495877886, + -1.711135610773382, + -1.6264260381566846, + -1.5386293026190019, + -1.4500068056812063, + -1.3628632273549974, + -1.2794944466685765, + -1.2021350667822965, + -1.1329067934214816, + -1.0737689017617709, + -1.0264719831601383, + -0.992516090228999, + -0.9731142984164927, + -0.9691625768764746, + -0.9812167139991483, + -1.0094768770855127, + -1.0537802053022234, + -1.1136016446239974, + -1.1880630375867363, + -1.27595028410279, + -1.3757381971181182, + -1.4856224932107926, + -1.6035581878202616, + -1.727303511813501, + -1.8544683342694135, + -1.982565968911005, + -2.1090671611552447, + -2.2314550012408505, + -2.3472794875849545, + -2.4542104739202273, + -2.550087773633715, + -2.6329672640797988, + -2.701161930763945, + -2.7532769138038233, + -2.788237763962522, + -2.8053112792617587, + -2.8041184717102583, + -2.7846394026539043, + -2.74720982004848, + -2.6925097268147615, + -2.621544201581115, + -2.5356169768700823, + -2.4362974506754886, + -2.3253819612608075, + -2.204850288167995, + -2.076818451655082, + -1.943488965470867, + -1.8070997520747951, + -1.669872953873208, + -1.5339648682588443, + -1.4014181984449179, + -1.2741177472535175, + -1.1537505888416644, + -1.0417716361893605, + -0.9393753830071532, + -0.8474744410588878, + -0.7666853217010814, + -0.6973217280273741, + -0.6393954359320664, + -0.5926246533576862, + -0.5564495616693257, + -0.5300545660996996, + -0.5123966179140478, + -0.5022388234068885, + -0.49818842769089483, + -0.49873815758319273, + -0.502309830255101, + -0.5072990845515103, + -0.5121200711694329, + -0.5152489466470677, + -0.5152650540516571, + -0.5108887393337483, + -0.501014844800585, + -0.484741037657404, + -0.4613902690781884, + -0.43052681428030576, + -0.39196551263905705, + -0.3457740047015477, + -0.2922679455301055, + -0.2319993564943453, + -0.16573845581051438, + -0.09444947728615408, + -0.0192611425874864, + 0.058567409036420735, + 0.13768431177155085, + 0.21668526906267496, + 0.29415537028774214, + 0.3687113041509464, + 0.4390428333517763, + 0.5039524129399829, + 0.5623918813442081, + 0.6134952272034218, + 0.6566065349780635, + 0.6913023353660986, + 0.7174077297060655, + 0.7350058172131444, + 0.7444401260449184, + 0.7463099294917178, + 0.7414585124824657, + 0.730954636445009, + 0.7160676277335013, + 0.698236681843819, + 0.6790351282384404, + 0.6601305349064622, + 0.6432416443563548, + 0.6300932206807958, + 0.6223699483588375, + 0.6216705559538662, + 0.6294633409208187, + 0.6470442451814816, + 0.6754985755305934, + 0.7156673795929014, + 0.7681193789522971, + 0.8331292288558041, + 0.9106627217765352, + 1.0003693838229621, + 1.1015827326397651, + 1.213328277500766, + 1.3343391513876526, + 1.4630790757049925, + 1.5977721755946899, + 1.7364389921242396, + 1.876937881213061, + 2.0170108519419494, + 2.154332782307022, + 2.2865628614246307, + 2.4113970459361207, + 2.5266202864878613, + 2.6301572785377614, + 2.7201205204856076, + 2.7948545206147677, + 2.8529750812066204, + 2.8934027013861665, + 2.9153892770668253, + 2.918537433489022, + 2.9028119994921373, + 2.8685433186137077, + 2.8164222858572314, + 2.747487195798677, + 2.6631026828195283, + 2.5649312229068775, + 2.454897844049561, + 2.3351488544518 + ], + [ + 2.2471617656586274, + 2.1172950132553687, + 1.9841098944710571, + 1.850142065753548, + 1.7179102987976709, + 1.5898619997389425, + 1.468320468057234, + 1.3554351168771017, + 1.2531358043861132, + 1.16309232653276, + 1.0866799964554295, + 1.0249520892916901, + 0.9786197657199406, + 0.9480399078401047, + 0.9332111112038799, + 0.9337778815965643, + 0.9490428893179244, + 0.9779869419847592, + 1.0192961539509169, + 1.0713956207569688, + 1.1324887546951856, + 1.2006013062860919, + 1.2736289893683963, + 1.3493875471607069, + 1.4256640449553903, + 1.5002681532370374, + 1.5710821934282833, + 1.6361087568549646, + 1.6935147748526183, + 1.7416710124574581, + 1.7791860774187416, + 1.804934177312038, + 1.8180760167676573, + 1.8180724002579072, + 1.8046902891701395, + 1.7780012504548663, + 1.7383724232843054, + 1.6864503151874268, + 1.6231379154568704, + 1.5495657768915487, + 1.4670578631218836, + 1.377093084272154, + 1.281263545479342, + 1.181230608341684, + 1.0786799129039233, + 0.9752765261943593, + 0.8726213722359841, + 0.7722100582232708, + 0.6753951432796222, + 0.5833528016798897, + 0.4970547140852662, + 0.41724588123401163, + 0.34442889821756084, + 0.27885505793101467, + 0.22052247383018078, + 0.1691812292834625, + 0.12434537821029491, + 0.08531144397222287, + 0.05118289512477949, + 0.020899921905911847, + -0.006726299858510679, + -0.032975786941370114, + -0.059179390749259514, + -0.08667699093209019, + -0.11677536631628407, + -0.15070687801852878, + -0.18959007955233922, + -0.2343933200384936, + -0.2859023304914519, + -0.3446926814877229, + -0.41110787588368564, + -0.4852436957749616, + -0.5669392622147437, + -0.655775093383248, + -0.7510782662840322, + -0.8519346031951522, + -0.9572076216717536, + -1.0655638104994427, + -1.1755036281081883, + -1.285397468790799, + -1.39352570948171, + -1.4981218392353122, + -1.5974175877470485, + -1.68968891051809, + -1.773301658133945, + -1.8467557564554133, + -1.9087267534170858, + -1.9581036459660002, + -1.9940219860982695, + -2.015891375919938, + -2.0234165954836683, + -2.016611760573002, + -1.9958070768627987, + -1.9616479378177727, + -1.9150863018399387, + -1.8573644748901523, + -1.7899916133644231, + -1.714713443720122, + -1.6334758656987383, + -1.5483832607282864, + -1.4616524623371774, + -1.375563457771079, + -1.2924079766346723, + -1.2144371810691585, + -1.1438097011977733, + -1.0825412585238314, + -1.0324570885909712, + -0.9951483132038695, + -0.9719333232801355, + -0.9638251180784426, + -0.9715054078868297, + -0.9953061285994743, + -1.035198841796588, + -1.0907923072090768, + -1.1613383203333, + -1.2457457111842984, + -1.3426022055302915, + -1.4502036621821395, + -1.5665900235977495, + -1.6895871565061023, + -1.8168536183764905, + -1.9459312677945908, + -2.074298545031934, + -2.1994251855465965, + -2.318827095378721, + -2.430120114222395, + -2.5310714194359245, + -2.61964738171365, + -2.694056769170843, + -2.7527883090742242, + -2.794641752625813, + -2.8187517447383663, + -2.824603973792934, + -2.8120432617082476, + -2.781273447745253, + -2.7328491156017343, + -2.66765940773544, + -2.586904358753152, + -2.492064356546529, + -2.3848635013509125, + -2.267227775141374, + -2.1412390533317875, + -2.0090860847418552, + -1.873013632011951, + -1.7352710015317092, + -1.598061198687453, + -1.4634919207502437, + -1.3335295466926513, + -1.2099572020355918, + -1.09433786957807, + -0.987983386282119, + -0.8919300159726548, + -0.8069211206572016, + -0.7333972743546694, + -0.6714939768182969, + -0.6210469350942663, + -0.5816046931866756, + -0.5524482088584862, + -0.5326168062732622, + -0.5209397779791303, + -0.5160727734735872, + -0.5165379976044925, + -0.5207671531351056, + -0.5271460000747095, + -0.5340593713129046, + -0.5399354804376423, + -0.5432883833706731, + -0.542757509889173, + -0.5371432627725062, + -0.5254377890918245, + -0.5068501572952308, + -0.4808253219239219, + -0.4470564212429732, + -0.4054901276245003, + -0.3563249517469169, + -0.3000025849757871, + -0.23719254502575546, + -0.16877056359473172, + -0.09579131671978268, + -0.01945624503148702, + 0.058922661821573595, + 0.13796213775721441, + 0.21624891167190988, + 0.2923818673377425, + 0.3650139577999892, + 0.43289274577581355, + 0.4948984760353234, + 0.5500786483628014, + 0.597678148879087, + 0.6371641110157993, + 0.6682448124144597, + 0.6908820670815378, + 0.7052967394085455, + 0.7119671839474793, + 0.7116205976424058, + 0.7052174549397184, + 0.6939293761850536, + 0.6791109514042774, + 0.6622662006007294, + 0.6450104940333524, + 0.6290288779352962, + 0.6160318496582335, + 0.6077096987354863, + 0.6056865749449312, + 0.6114754599144235, + 0.6264352046680831, + 0.6517307520208174, + 0.6882975908843644, + 0.7368113910548586, + 0.7976636442820499, + 0.8709439933573966, + 0.9564297691231213, + 1.0535830796685863, + 1.1615556108677045, + 1.2792011073915266, + 1.4050953131053003, + 1.537562964046956, + 1.6747112506007644, + 1.8144690024266257, + 1.9546307042565614, + 2.092904326474837, + 2.2269618545865018, + 2.354491328785397, + 2.47324916073234, + 2.5811114805138717, + 2.6761232830040855, + 2.7565441891782347, + 2.8208897132694832, + 2.867967029244014, + 2.896904357447109, + 2.907173241382826, + 2.898603151832365, + 2.8713880368413878, + 2.8260846271134925, + 2.763602502391915, + 2.685186120722607, + 2.5923892042854937, + 2.4870420580806667, + 2.3712125667080133, + 2.247161765658627 + ], + [ + 2.1570835764860092, + 2.0255862700024156, + 1.8924169350547373, + 1.7601077723347556, + 1.6311403082304945, + 1.507891795286915, + 1.3925840925891941, + 1.287236208825114, + 1.1936216022398256, + 1.1132312169132204, + 1.0472430965798725, + 0.9964992589592043, + 0.9614903391422591, + 0.9423483242572144, + 0.9388475079620375, + 0.9504135970182499, + 0.9761407080721672, + 1.0148158055376573, + 1.064949955690186, + 1.1248156120110886, + 1.19248900633654, + 1.2658966028532415, + 1.3428644802576426, + 1.4211694436338642, + 1.4985906332914376, + 1.5729603936942806, + 1.6422131917175993, + 1.7044314290562155, + 1.7578870772166308, + 1.801078173008184, + 1.832759345023803, + 1.8519656939212914, + 1.8580295175543313, + 1.8505895519453632, + 1.8295925862471922, + 1.795287499544601, + 1.748211954887356, + 1.6891721666719208, + 1.6192163269310569, + 1.539602430069274, + 1.4517613703126409, + 1.3572562983266123, + 1.2577393103670136, + 1.1549066028749424, + 1.0504532562016948, + 0.946028812471214, + 0.8431947845096748, + 0.7433851760837459, + 0.6478710098950883, + 0.5577297510588122, + 0.47382038294904605, + 0.39676474267707423, + 0.3269355588935888, + 0.2644514592642966, + 0.20917903330914567, + 0.16074185292572551, + 0.11853617248006523, + 0.0817528574082463, + 0.04940492920217893, + 0.02035996952276376, + -0.006623499340311055, + -0.032856643190202976, + -0.05967901672916549, + -0.08841644939994941, + -0.12033925066576394, + -0.15662186144447118, + -0.1983050417725573, + -0.2462616200996978, + -0.3011667385300857, + -0.36347341312289966, + -0.43339409194131995, + -0.5108887393337481, + -0.5956598068295953, + -0.6871542732759125, + -0.7845727539185058, + -0.8868854946656138, + -0.992854888406691, + -1.1010639795399955, + -1.2099502651258796, + -1.3178439603450178, + -1.423009775797819, + -1.5236911577194443, + -1.6181558719008973, + -1.7047417698469707, + -1.7819015626136205, + -1.8482454442701983, + -1.902580452706009, + -1.9439455294932069, + -1.9716413409696176, + -1.9852540471912037, + -1.9846723508954414, + -1.9700973215541173, + -1.9420446659743513, + -1.9013393023838676, + -1.8491022849281924, + -1.786730315308009, + -1.71586826318355, + -1.638375292368772, + -1.5562853513566415, + -1.4717629303165682, + -1.387055108780297, + -1.304441015701651, + -1.226179893958759, + -1.15445900284992, + -1.0913426036094767, + -1.038723254071727, + -0.9982765897186815, + -0.9714206905828141, + -0.959281028671766, + -0.9626618612404167, + -0.9820247844664045, + -1.0174749935286687, + -1.0687556128281193, + -1.1352502685499488, + -1.2159938796062513, + -1.3096914469924072, + -1.4147444305183121, + -1.5292841203972147, + -1.6512112437200126, + -1.7782408965001282, + -1.9079517643915047, + -2.0378384924752986, + -2.165365989188849, + -2.28802440337071, + -2.4033834976419883, + -2.509145156316874, + -2.603192811362471, + -2.683636644495195, + -2.7488535254780886, + -2.7975207735699725, + -2.828642977765584, + -2.841571278314299, + -2.836014692932612, + -2.812043261708247, + -2.7700829802762543, + -2.71090268665682, + -2.6355932584081443, + -2.545539658810584, + -2.4423865392376234, + -2.327998255603467, + -2.2044142861658327, + -2.0738011428952836, + -1.9384019465967646, + -1.8004848851481998, + -1.6622917934818469, + -1.5259880828916665, + -1.3936152062669385, + -1.2670467760289448, + -1.1479493546923882, + -1.037748816560334, + -0.9376030361637034, + -0.848381498272789, + -0.7706522496716364, + -0.7046764287631427, + -0.6504104200550089, + -0.6075154913670385, + -0.5753745868952104, + -0.5531157736415986, + -0.5396416765093276, + -0.5336640925629271, + -0.5337428511188064, + -0.5383278864800829, + -0.5458034166823658, + -0.5545330763259988, + -0.5629048354828987, + -0.5693745500976828, + -0.5725070318303485, + -0.5710135957604237, + -0.5637851409426364, + -0.5499199389730152, + -0.5287454464060144, + -0.4998336144619329, + -0.46300933996479865, + -0.4183518805206268, + -0.36618924004124, + -0.3070857132008213, + -0.24182295466230633, + -0.17137510644601128, + -0.09687867039885363, + -0.01959794847898579, + 0.05911301193146639, + 0.13785094012588484, + 0.21520524011157727, + 0.2898001372498209, + 0.3603359392552834, + 0.4256282995459236, + 0.4846444217516936, + 0.5365352223159212, + 0.5806625715936026, + 0.6166208600622223, + 0.6442522820351161, + 0.6636553909314684, + 0.6751866536341333, + 0.6794549123781669, + 0.6773088463892549, + 0.6698177074840799, + 0.6582457794448977, + 0.6440211757333377, + 0.6286997398238671, + 0.6139249432978625, + 0.6013847854925064, + 0.5927667821448258, + 0.5897121869314131, + 0.5937706175771928, + 0.6063562565060518, + 0.6287067647819768, + 0.6618459880300691, + 0.7065514455425238, + 0.763327480963995, + 0.8323848175486875, + 0.9136271062929989, + 1.0066448850649736, + 1.1107171853632394, + 1.2248208350209666, + 1.3476473146836596, + 1.4776268379561273, + 1.6129591444035465, + 1.7516503256068334, + 1.8915548514337919, + 2.030421830430629, + 2.165944428118252, + 2.29581128278221, + 2.4177587022297984, + 2.529622398417244, + 2.6293875205630766, + 2.71523578135409, + 2.7855885343649693, + 2.8391447523703417, + 2.874912973653809, + 2.892236423898755, + 2.8908106813945125, + 2.870693429234971, + 2.8323060256579127, + 2.776426818116983, + 2.7041763233618266, + 2.616994589934417, + 2.516611246336598, + 2.405008913126145, + 2.2843808160843344, + 2.157083576486014 + ], + [ + 2.065676389175189, + 1.9336552083351357, + 1.801610793121841, + 1.6720504770270452, + 1.5473975664860558, + 1.4299390760678001, + 1.3217766628133223, + 1.2247818935422896, + 1.1405568745753003, + 1.0704011442844024, + 1.0152855783432224, + 0.9758338891845537, + 0.952312119103648, + 0.9446263351186541, + 0.9523285377869855, + 0.9746306004567147, + 1.010425864673902, + 1.0583178363109549, + 1.1166552598267354, + 1.1835726989652329, + 1.2570356247459167, + 1.3348889088574034, + 1.4149075449863704, + 1.4948483739730152, + 1.5725015720447768, + 1.64574067506319, + 1.7125699552982077, + 1.7711680395584373, + 1.8199267566858701, + 1.8574843259425606, + 1.8827521425513307, + 1.8949345789623984, + 1.893541396236035, + 1.8783925448655803, + 1.8496153238077917, + 1.8076340557290775, + 1.7531526208236308, + 1.6871303664515593, + 1.610752070966075, + 1.5253927834850884, + 1.4325784835007354, + 1.3339436021339341, + 1.231186518163825, + 1.1260241849956292, + 1.0201470584869141, + 0.9151754797758503, + 0.8126186224295672, + 0.7138370405649175, + 0.6200097559915374, + 0.5321067004377336, + 0.4508671866748378, + 0.37678492348980747, + 0.3100999180144518, + 0.25079742925895565, + 0.19861395337325977, + 0.15305003881565818, + 0.11338955285648349, + 0.07872485415393145, + 0.04798717371955462, + 0.019981372291020802, + -0.006575870661040576, + -0.03301546950080306, + -0.060674041627104124, + -0.0908518420638948, + -0.12477165690144526, + -0.16353976463000602, + -0.20811002148208546, + -0.25925204679841635, + -0.31752437917294696, + -0.38325334636544983, + -0.4565182449170476, + -0.537143262772506, + -0.6246964041075064, + -0.7184954943759886, + -0.8176211599115351, + -0.9209364948854716, + -1.027112953642349, + -1.1346618428372015, + -1.2419706395497023, + -1.3473432324312262, + -1.4490430762597666, + -1.5453381687865868, + -1.6345467045811415, + -1.7150822351615276, + -1.7854971687623444, + -1.8445234766300174, + -1.8911095349995433, + -1.9244521214283723, + -1.9440226987911768, + -1.949587257189883, + -1.941219139960174, + -1.9193044510315056, + -1.8845398229091075, + -1.8379225129984353, + -1.7807329862194259, + -1.714510329138937, + -1.6410210205272204, + -1.5622217508375726, + -1.480217134427532, + -1.3972132895879057, + -1.3154683693151419, + -1.237241207516105, + -1.1647392988752445, + -1.1000673545390287, + -1.0451776694046324, + -1.0018235002107088, + -0.9715165876322125, + -0.9554898617212194, + -0.9546662505415049, + -0.969634369581644, + -1.0006317079292648, + -1.0475357501579041, + -1.109863284712567, + -1.1867779548544415, + -1.2771059116794763, + -1.3793592351503552, + -1.4917666031987213, + -1.612310515302532, + -1.7387702197638093, + -1.8687693570457122, + -1.9998272183208818, + -2.129412431602248, + -2.254997829595701, + -2.374115225153185, + -2.484408822605303, + -2.5836860262530283, + -2.669964470088867, + -2.7415141838597563, + -2.7968939276473628, + -2.834980867359885, + -2.854992923472719, + -2.8565033011103136, + -2.8394468968334627, + -2.8041184717102583, + -2.75116267666544, + -2.681556209933484, + -2.596582572966281, + -2.4978000658326662, + -2.387003821757259, + -2.2661828191439928, + -2.137472924874346, + -2.0031071120967834, + -1.8653640570134435, + -1.7265163508977133, + -1.5887795650487784, + -1.454263377658927, + -1.324925913433031, + -1.2025323607774108, + -1.088618819671307, + -0.9844621987838161, + -0.8910568263934838, + -0.8090982700732259, + -0.7389746791625853, + -0.680765776276537, + -0.6342494341681459, + -0.598915586887363, + -0.5739870440016707, + -0.5584466081185212, + -0.5510697432269085, + -0.5504619082062411, + -0.5550995594898661, + -0.5633737419977413, + -0.573635130106325, + -0.5842393519510942, + -0.5935914313818976, + -0.6001882122988996, + -0.6026576890385335, + -0.5997942523929175, + -0.5905889714992323, + -0.5742541643778633, + -0.55024166093615, + -0.5182543279360021, + -0.4782506015346174, + -0.4304419550779245, + -0.375283413241907, + -0.31345740373527226, + -0.24585141004318845, + -0.17353004875326195, + -0.09770233881920899, + -0.01968505405469533, + 0.059136848918035036, + 0.1373516596598406, + 0.21356308431534418, + 0.2864320226287673, + 0.35471682667054494, + 0.41731095516440947, + 0.47327700402834566, + 0.5218761867163945, + 0.5625924548304378, + 0.5951505873163269, + 0.6195277318918213, + 0.6359580512563003, + 0.6449303048405234, + 0.6471783798664235, + 0.6436649686741116, + 0.6355587679975879, + 0.6242057455999747, + 0.611095176101163, + 0.597821286960404, + 0.5860414738575603, + 0.5774321391092493, + 0.5736432748148576, + 0.5762529523624027, + 0.5867228906469839, + 0.6063562565060515, + 0.6362588028360435, + 0.6773043737354016, + 0.7301057036347027, + 0.7949913112010122, + 0.8719891419148693, + 0.9608174492128536, + 1.060883226998625, + 1.1712883205192623, + 1.29084315267537, + 1.418087813491222, + 1.5513200764190058, + 1.6886297309717866, + 1.8279384612230283, + 1.967044357981392, + 2.103670032511955, + 2.235513204561263, + 2.3602985695769014, + 2.475829711149682, + 2.5800398158908378, + 2.671039969491509, + 2.7471638641531264, + 2.8070078277428148, + 2.8494651920260488, + 2.8737541486032225, + 2.879438393571187, + 2.8664400317635295, + 2.8350443945793034, + 2.785896617441129, + 2.7199900191587036, + 2.6386465211322174, + 2.5434895346415987, + 2.4364099247870064, + 2.3195258255700484, + 2.1951372280806036, + 2.0656763891751937 + ], + [ + 1.9737135498930394, + 1.8422796066345142, + 1.7124597297233688, + 1.5867151843951062, + 1.4673905750535359, + 1.3566633573602, + 1.2564972416262505, + 1.168600562796822, + 1.0943905730006427, + 1.0349644704415752, + 0.9910778168107034, + 0.9631308183472179, + 0.9511627574988262, + 0.954854667421726, + 0.9735401450661697, + 1.006224005104551, + 1.0516082911840685, + 1.1081249874394168, + 1.1739746160906537, + 1.2471697700758853, + 1.3255825163238937, + 1.406994518170408, + 1.4891486666271168, + 1.569800981087394, + 1.6467715412284738, + 1.7179932432299314, + 1.7815572341134174, + 1.8357539664381204, + 1.8791089294987515, + 1.9104122496826885, + 1.9287415083122421, + 1.9334772962242692, + 1.9243112062498124, + 1.9012461531174552, + 1.864589100431782, + 1.8149364615560952, + 1.7531526208236308, + 1.680342189080132, + 1.597816758997508, + 1.5070570571790325, + 1.4096714985889507, + 1.3073522316530244, + 1.2018298175070905, + 1.0948277130284456, + 0.9880177239059595, + 0.8829775612641628, + 0.7811515741627298, + 0.683815642263959, + 0.5920471003843547, + 0.506700432419471, + 0.4283893196895612, + 0.3574754619835069, + 0.29406441272020184, + 0.23800848718735615, + 0.18891661937953397, + 0.1461708631812172, + 0.10894906207043714, + 0.07625305248699688, + 0.04694162352983129, + 0.01976733331458074, + -0.006583816780878096, + -0.03345092213071299, + -0.062156047082184945, + -0.09396256439996171, + -0.1300350848608875, + -0.17140205898379687, + -0.21892206411577714, + -0.2732546952465432, + -0.33483685937828045, + -0.4038651340296194, + -0.48028469401289553, + -0.5637851409426361, + -0.6538033912962956, + -0.7495335957709055, + -0.8499438797938443, + -0.9537995169846126, + -1.059691978644882, + -1.1660731472643595, + -1.2712938445226472, + -1.3736457078590014, + -1.471405357365441, + -1.5628797289277265, + -1.6464514119263693, + -1.7206228214460848, + -1.7840580561250676, + -1.835621343065316, + -1.8744110494521335, + -1.8997883448245927, + -1.9113997257733537, + -1.9091927630987935, + -1.8934245965051808, + -1.8646628796738245, + -1.8237790646606364, + -1.7719341043961003, + -1.710556840918175, + -1.6413155301458424, + -1.5660831269370705, + -1.486897112547749, + -1.4059147864478916, + -1.3253650622369604, + -1.2474979001509563, + -1.1745325739999506, + -1.1086060066207222, + -1.0517224140936974, + -1.0057054748164849, + -0.9721541855557697, + -0.952403484058256, + -0.947490608640037, + -0.9581280320005463, + -0.9846836525264621, + -1.0271687552831865, + -1.0852340708834503, + -1.1581740679443542, + -1.2449394185798761, + -1.3441573811081262, + -1.4541596546452933, + -1.5730170811377122, + -1.698580406027321, + -1.8285261631709204, + -1.9604066264020426, + -2.0917026722502627, + -2.2198783282127454, + -2.342435740323778, + -2.456969283585203, + -2.561217559355098, + -2.6531120745410703, + -2.730821477167766, + -2.792790329634424, + -2.8377715321377828, + -2.8648516610996126, + -2.8734686572830506, + -2.8634214814567387, + -2.8348715474973947, + -2.788335939023671, + -2.7246726112428923, + -2.645057969904237, + -2.5509573994612245, + -2.444089478378404, + -2.3263847669562847, + -2.1999401785367407, + -2.06697004547475, + -1.9297550644262567, + -1.7905903495877895, + -1.6517338365313936, + -1.51535626294971, + -1.383493906451303, + -1.258005184748156, + -1.1405321220841829, + -1.0324675601459985, + -0.9349288451473762, + -0.8487385589685164, + -0.7744126852603971, + -0.7121564157108186, + -0.6618676118345822, + -0.6231477484112404, + -0.5953199807386395, + -0.5774538037468072, + -0.568395611017349, + -0.5668043198103152, + -0.5711911077876314, + -0.5799622111699264, + -0.5914636648864093, + -0.6040268245174227, + -0.6160134984159645, + -0.6258595365227531, + -0.6321157695157291, + -0.633485266791919, + -0.6288559824081482, + -0.617327981906913, + -0.5982345867480806, + -0.5711569331835644, + -0.5359316147746709, + -0.49265125798279946, + -0.4416580637948175, + -0.3835305305284798, + -0.31906374919399577, + -0.2492438286129826, + -0.17521715872944182, + -0.09825535337329828, + -0.019716824806029425, + 0.05899397110958678, + 0.1364685204977514, + 0.21133633766433083, + 0.2823060192483651, + 0.3482041602809183, + 0.4080110811283799, + 0.46089239636303425, + 0.5062255636386823, + 0.5436206799542299, + 0.5729349410009525, + 0.5942803428667738, + 0.6080243800828747, + 0.614783675429664, + 0.6154106604825959, + 0.6109736069264742, + 0.6027304826106454, + 0.5920972687399039, + 0.5806115213638264, + 0.5698920876942245, + 0.561595992481325, + 0.5573735890126239, + 0.5588231211938263, + 0.5674458662432834, + 0.5846030211132679, + 0.611475459914423, + 0.6490274251710096, + 0.6979751241987486, + 0.7587610854790193, + 0.8315349914340583, + 0.9161415468752975, + 1.0121157704619859, + 1.118685914008187, + 1.2347840259244844, + 1.3590639851481188, + 1.489926645319613, + 1.6255515503499693, + 1.7639345163479785, + 1.9029302253012608, + 2.0402988466846432, + 2.1737555975657417, + 2.301022072474931, + 2.4198781233434605, + 2.528213048532155, + 2.6240748589871523, + 2.7057164287332856, + 2.771637405373093, + 2.8206208523974543, + 2.851763716647065, + 2.8645003582765556, + 2.858618543592152, + 2.834267479213599, + 2.79195765482992, + 2.732552456785046, + 2.657251711095785, + 2.567567507482523, + 2.465292840873347, + 2.3524637791085397, + 2.2313160210146408, + 2.1042368438345154, + 1.973713549893039 + ], + [ + 1.881973105873551, + 1.7522325438388726, + 1.6257180031969927, + 1.5048238696292633, + 1.3917962292840305, + 1.2886845849020268, + 1.1972981224705013, + 1.1191675360691637, + 1.055513285317668, + 1.0072210056807298, + 0.9748246205990172, + 0.9584975201746864, + 0.9580519784470621, + 0.9729467848467714, + 1.0023028700036454, + 1.0449265164622576, + 1.0993395656391272, + 1.1638158678865025, + 1.2364230767906388, + 1.315068765343446, + 1.3975497433498996, + 1.481603384709307, + 1.5649597316963044, + 1.6453931320043662, + 1.7207721832956846, + 1.789106808773149, + 1.8485913645673522, + 1.8976427835283916, + 1.934932887693039, + 1.9594141500435667, + 1.970338351461775, + 1.9672677568780863, + 1.9500786210794467, + 1.9189570248337995, + 1.8743872311932122, + 1.8171329353679806, + 1.7482119548873565, + 1.6688650656098865, + 1.5805198296179055, + 1.4847503796926662, + 1.3832342190351712, + 1.277707161910884, + 1.1699175793684269, + 1.0615811232428012, + 0.9543370811680754, + 0.8497074658964874, + 0.7490598651765024, + 0.653574975795336, + 0.564219619793223, + 0.48172589552792827, + 0.4065769549192623, + 0.33899972494014824, + 0.27896471064177836, + 0.226192833286486, + 0.1801690751616495, + 0.14016252696113243, + 0.10525226868332149, + 0.07435836496804793, + 0.046277124460730935, + 0.019719663460038023, + -0.00664727047205413, + -0.03415931695363914, + -0.06411249465764286, + -0.0977222982895689, + -0.13608500356182537, + -0.18014222593788132, + -0.2306496949004463, + -0.28815109670193545, + -0.3529577077295609, + -0.4251343910648292, + -0.50449236431507, + -0.590588971499232, + -0.6827345101132818, + -0.7800059810779613, + -0.8812674487290294, + -0.9851965249253911, + -1.0903163301205894, + -1.1950321389722387, + -1.2976717924617411, + -1.3965288557842166, + -1.4899074240976415, + -1.5761674286064218, + -1.6537692747254993, + -1.7213166528335304, + -1.7775964002459081, + -1.8216143596543128, + -1.8526262728076635, + -1.8701628663924224, + -1.8740484270299451, + -1.8644123206166636, + -1.841693083995372, + -1.8066348999003532, + -1.760276454738282, + -1.7039323683737395, + -1.6391675709687572, + -1.5677651794492318, + -1.4916885909026565, + -1.4130386580240257, + -1.3340069389038232, + -1.2568261167788208, + -1.1837187622138576, + -1.116845658568715, + -1.0582549302482696, + -1.009833201586432, + -0.9732599724726252, + -0.9499663259344089, + -0.941098984501827, + -0.9474906086400365, + -0.9696370848112725, + -1.007682386331279, + -1.0614114110994026, + -1.130251010853284, + -1.2132792314364624, + -1.3092425874247684, + -1.416581002119699, + -1.533459860080713, + -1.6578084485256603, + -1.7873639102584722, + -1.9197196980450941, + -2.0523774118040277, + -2.1828008182652803, + -2.3084707998851735, + -2.426939957082207, + -2.535885595840538, + -2.6331598712221127, + -2.716835925396838, + -2.7852489547811703, + -2.837031262423215, + -2.8711404959180324, + -2.8868804343574297, + -2.8839138661281782, + -2.8622672884173284, + -2.8223273544501595, + -2.7648291910166916, + -2.690836901948977, + -2.6017167581953684, + -2.499103747506454, + -2.3848623123219768, + -2.261042239468761, + -2.1298307764963855, + -1.9935021342296835, + -1.8543655913991757, + -1.7147134437201228, + -1.5767700359602534, + -1.4426430815448235, + -1.3142784110187724, + -1.193419199858962, + -1.0815706100240337, + -0.9799706411807829, + -0.8895678302368843, + -0.8110062655804507, + -0.7446181995772253, + -0.6904243539605407, + -0.6481418224599742, + -0.6171992880693655, + -0.5967590933759161, + -0.5857455357744488, + -0.5828786092715829, + -0.5867122846216749, + -0.5956763128985695, + -0.6081204568752961, + -0.6223600016876141, + -0.6367213724285424, + -0.6495866920635469, + -0.6594361481344845, + -0.6648871001667326, + -0.6647289498330733, + -0.6579529104195997, + -0.6437759480380897, + -0.6216583208591508, + -0.5913143104807725, + -0.5527159171322178, + -0.5060894732394217, + -0.45190531331621386, + -0.39086081755684965, + -0.32385731735751067, + -0.2519715089755016, + -0.17642216266072644, + -0.09853303530775191, + -0.019692991938055345, + 0.058685587317034056, + 0.13520899439655365, + 0.2085438394428191, + 0.27745703496425034, + 0.34085304019107465, + 0.39780735858042215, + 0.4475953781407068, + 0.48971576443600995, + 0.5239077567652604, + 0.5501618755366219, + 0.5687237192956995, + 0.5800907089094489, + 0.5850018195278808, + 0.584420523507733, + 0.5795113448597374, + 0.5716105934725996, + 0.5621920011081727, + 0.5528281170344167, + 0.5451484356892272, + 0.5407953190033101, + 0.5413788396130482, + 0.548431706487562, + 0.5633654405078757, + 0.5874289440315523, + 0.6216705559538653, + 0.6669046034640539, + 0.7236833555175691, + 0.7922751535783582, + 0.8726493455921575, + 0.9644684831048087, + 1.0670880630298651, + 1.1795639092055448, + 1.3006670991790426, + 1.4289061533262148, + 1.5625560211441112, + 1.699693227889437, + 1.8382363879720351, + 1.9759911535832575, + 2.110698551421081, + 2.2400855699975546, + 2.3619167971936066, + 2.4740458740969586, + 2.5744655276392305, + 2.6613549713155087, + 2.7331235197519375, + 2.788449347780864, + 2.826312435980345, + 2.8460208796750015, + 2.847229893927362, + 2.8299530193135616, + 2.7945652180975395, + 2.741797743302079, + 2.6727248594273303, + 2.588742688403847, + 2.491540643031841, + 2.383066088043349, + 2.2654830316797017, + 2.1411257943218525, + 2.0124487217296987, + 1.8819731058735505 + ], + [ + 1.7912312227861529, + 1.6642758588462234, + 1.5421194878001998, + 1.4270693703086772, + 1.321254091549581, + 1.226577889869022, + 1.1446801566820388, + 1.0769010391341307, + 1.0242539309723462, + 0.987405472267803, + 0.96666349910277, + 0.9619731944660901, + 0.9729214960217262, + 0.9987496198935973, + 1.0383733669311588, + 1.0904106937706606, + 1.1532158598585391, + 1.2249193076032194, + 1.3034722996909178, + 1.3866952285433063, + 1.4723284305177522, + 1.5580842837022844, + 1.6416993442785492, + 1.7209852829213352, + 1.793877419328848, + 1.8584797187490913, + 1.913105207583082, + 1.9563108834316596, + 1.9869263353217805, + 2.0040754487745303, + 2.007190743884097, + 1.996020078336361, + 1.9706256367355917, + 1.9313753180256328, + 1.8789268194721365, + 1.8142048940023698, + 1.7383724232843056, + 1.6527960976988378, + 1.5590076226767688, + 1.4586614756114107, + 1.3534903161874279, + 1.245259203612079, + 1.1357197957229401, + 1.026565696832536, + 0.919390083751489, + 0.8156466737345244, + 0.7166150058505717, + 0.623370890881431, + 0.5367627472960219, + 0.45739438564631457, + 0.3856146348401056, + 0.32151402545548474, + 0.2649285620914579, + 0.21545043333499111, + 0.17244532890199862, + 0.13507586339862898, + 0.10233044924000954, + 0.07305682151085074, + 0.045999298475067375, + 0.019838766035932917, + -0.006765694887628203, + -0.035134660628827204, + -0.06652683192168685, + -0.10209923468271116, + -0.14287022795442963, + -0.18968631972485703, + -0.24319369277284109, + -0.3038152208675818, + -0.37173361364995905, + -0.44688116993211296, + -0.5289364479787191, + -0.6173279819069127, + -0.7112449902017925, + -0.8096548401285463, + -0.9113268551498221, + -1.0148618858133198, + -1.1187269121983099, + -1.2212938117868974, + -1.3208813139912619, + -1.4157990744206823, + -1.5043927405995325, + -1.5850888478706386, + -1.65643838054788, + -1.7171578591963657, + -1.7661668696575357, + -1.802621031814897, + -1.8259395141342698, + -1.835826331085079, + -1.8322848114499766, + -1.8156247925502729, + -1.7864622744353578, + -1.7457114546779358, + -1.694569253957246, + -1.6344926303892378, + -1.5671691618989567, + -1.4944815462979115, + -1.418466823862741, + -1.3412712632130057, + -1.2651019647242217, + -1.1921763237062883, + -1.1246705558711825, + -1.0646685186305729, + -1.0141120626481195, + -0.974754118710128, + -0.9481156660046384, + -0.9354476406791438, + -0.9376987301445162, + -0.9554898617212186, + -0.9890960371789979, + -1.038435991301061, + -1.1030699670147288, + -1.182205706384863, + -1.2747125605703764, + -1.379143427483174, + -1.4937640381083743, + -1.6165889358348775, + -1.7454233320259327, + -1.8779098793751958, + -2.0115792858157495, + -2.1439035987899118, + -2.272350924828267, + -2.394440314220633, + -2.5077955359586177, + -2.6101964942074725, + -2.699627093693684, + -2.77431844620672, + -2.8327864218397574, + -2.873862683915487, + -2.8967185024549034, + -2.900880813743441, + -2.8862401788147602, + -2.853050486987477, + -2.8019204472412493, + -2.7337971054143844, + -2.6499418141951536, + -2.5518992610700577, + -2.4414603224615528, + -2.3206196562888226, + -2.1915290666450638, + -2.0564477702890547, + -1.9176907629128876, + -1.7775765220714754, + -1.6383752923687755, + -1.5022591768586318, + -1.3712552072518935, + -1.2472024857730633, + -1.131714385423104, + -1.0261466656693805, + -0.931572210465232, + -0.8487629287645755, + -0.7781791785054074, + -0.7199668878547488, + -0.6739623569880295, + -0.639704534541813, + -0.6164543798087231, + -0.6032207492550761, + -0.5987920882795892, + -0.6017730701623604, + -0.6106252072702268, + -0.6237103676241355, + -0.639336065105556, + -0.6558013554112652, + -0.6714421631699043, + -0.684674888483539, + -0.6940371928892661, + -0.6982249439654064, + -0.6961244024655403, + -0.686838863249785, + -0.6697091081314513, + -0.6443271913211335, + -0.610543252294523, + -0.5684652322157149, + -0.5184515539225513, + -0.4610970072742293, + -0.397212256781764, + -0.32779755247003933, + -0.25401137372058885, + -0.17713486566858666, + -0.09853303530775191, + -0.019613757087620663, + 0.05821430660680711, + 0.1335837375170056, + 0.20520921544938284, + 0.27192609437765697, + 0.332725660203394, + 0.3867861156305292, + 0.43349844815249367, + 0.47248646948040124, + 0.5036204655139077, + 0.527024061362093, + 0.5430740817785139, + 0.5523933692342808, + 0.5558367051125466, + 0.5544701595238392, + 0.549544367447822, + 0.5424623889274681, + 0.5347429548012337, + 0.5279800232856944, + 0.5237996734380046, + 0.5238154365335509, + 0.5295832137281488, + 0.5425569467666485, + 0.5640461974043143, + 0.5951767508152026, + 0.6368552894985511, + 0.6897390886973018, + 0.7542115644217984, + 0.8303643637513087, + 0.9179865276346753, + 1.0165610828547123, + 1.12526923644612, + 1.2430021572037213, + 1.3683801396707727, + 1.4997787608629296, + 1.6353614635800737, + 1.773117836895933, + 1.9109067183880366, + 2.0465031175553063, + 2.177647858832406, + 2.3020987682259655, + 2.4176821817909917, + 2.5223435381548347, + 2.6141958315681784, + 2.691564746256166, + 2.7530293661556002, + 2.7974574547361795, + 2.8240344251189042, + 2.8322852681093065, + 2.82208887149901, + 2.79368434404211, + 2.7476691475098716, + 2.6849890355449264, + 2.6069199939139263, + 2.5150425684155504, + 2.4112091494559724, + 2.297504951688576, + 2.176203578982978, + 2.049718195621047, + 1.92054943081376, + 1.7912312227861575 + ], + [ + 1.7022556180229278, + 1.5791537050124511, + 1.4623714648020056, + 1.354109524681911, + 1.2563609802560998, + 1.1708687230047579, + 1.0990885160613284, + 1.042158665681596, + 1.0008769782474554, + 0.9756855185820977, + 0.96666349910277, + 0.9735284354441632, + 0.995645507375604, + 1.032044868901797, + 1.081446463122622, + 1.142291720307912, + 1.2127813560139138, + 1.2909183438399452, + 1.3745550180256434, + 1.4614431673854535, + 1.5492859162962733, + 1.6357901521358607, + 1.7187182525263471, + 1.795937890035714, + 1.8654687459506352, + 1.9255250469477705, + 1.9745529468558487, + 2.011261907475131, + 2.0346493842907343, + 2.044018291078847, + 2.0389868976634196, + 2.019491002948987, + 1.9857784161681675, + 1.938395968313211, + 1.878169458297528, + 1.806177110014169, + 1.7237172729042778, + 1.6322712360868046, + 1.533462141179203, + 1.4290110688691575, + 1.3206914369230782, + 1.2102828811666855, + 1.09952579529494, + 0.9900776801497384, + 0.8834723990680399, + 0.7810833544926444, + 0.6840914943763006, + 0.5934589277481155, + 0.5099087804584541, + 0.4339117583583595, + 0.3656797101655187, + 0.30516630045952375, + 0.25207471923740415, + 0.20587217289745205, + 0.16581072698897215, + 0.13095390796918693, + 0.10020832365512974, + 0.07235943376200836, + 0.04611049610639699, + 0.020123633380578838, + -0.006938088103456908, + -0.036368701307437176, + -0.06937863248856319, + -0.10705634271691677, + -0.1503333519699897, + -0.19995359299253607, + -0.25644792983473735, + -0.3201145421649463, + -0.3910057244791963, + -0.4689214830417245, + -0.5534101369949767, + -0.6437759480380904, + -0.7390936199991428, + -0.8382293301588312, + -0.9398677828758703, + -1.0425446172715578, + -1.144683358497735, + -1.2446359800727804, + -1.340726046056642, + -1.4312933289988627, + -1.5147387545388276, + -1.5895685074764148, + -1.6544361475504696, + -1.7081816258106344, + -1.7498661633606496, + -1.7788020516951686, + -1.7945765554862214, + -1.7970692415287213, + -1.7864622181195011, + -1.7632429434636698, + -1.728199445466235, + -1.682407983921327, + -1.6272133749689734, + -1.5642023820477766, + -1.4951707528291538, + -1.422084643389564, + -1.3470373150997061, + -1.2722021127498981, + -1.1997828311705037, + -1.1319626495231132, + -1.0708528556682064, + -1.018442596399825, + -0.9765508724550447, + -0.9467819503793807, + -0.9304852876231695, + -0.9287209644370138, + -0.9422314886768198, + -0.9714206905828137, + -1.0163402575614178, + -1.0766842780215982, + -1.1517919727954167, + -1.2406585972442223, + -1.3419543015827282, + -1.4540505460177164, + -1.5750534856639689, + -1.7028435723105806, + -1.8351204700779329, + -1.9694522535062606, + -2.1033277528034096, + -2.2342108344017255, + -2.3595953575158237, + -2.47705953022621, + -2.5843184021681593, + -2.6792732748597623, + -2.7600568839909565, + -2.8250733088335274, + -2.8730316898612616, + -2.9029729836190157, + -2.9142891502389126, + -2.906734349712797, + -2.8804279136848, + -2.835849055477929, + -2.7738234775398833, + -2.695502227703123, + -2.602333338929055, + -2.4960269570966593, + -2.378514813786347, + -2.2519050322191143, + -2.1184333613823347, + -1.9804120133534506, + -1.8401773300307396, + -1.7000375267171124, + -1.5622217508375706, + -1.4288316548110762, + -1.3017966137908201, + -1.1828336233939414, + -1.0734127920924554, + -0.9747292006690847, + -0.8876817406237357, + -0.8128593686613252, + -0.7505350297544677, + -0.7006673113449857, + -0.6629097007368103, + -0.6366271313538023, + -0.6209193258902723, + -0.6146502798434487, + -0.616483081524406, + -0.6249191380007048, + -0.6383407736096429, + -0.655056091175799, + -0.6733449376898542, + -0.6915047970724755, + -0.7078954431404995, + -0.720981225656646, + -0.7293699302913295, + -0.7318472476676672, + -0.7274060049534476, + -0.7152694526667245, + -0.6949080559177194, + -0.6660494092321393, + -0.6286810730758805, + -0.5830463136929127, + -0.5296329112357038, + -0.4691553797786906, + -0.4025311121533224, + -0.330851118359553, + -0.2553461646694518, + -0.17734923796307422, + -0.09825535337329828, + -0.01947979061741422, + 0.057584116226971405, + 0.131606500267745, + 0.20136067811194108, + 0.26575999174872683, + 0.3238907816302528, + 0.3750405969812239, + 0.4187208728050285, + 0.45468344640352565, + 0.48293044586425765, + 0.5037172548552625, + 0.5175484378552055, + 0.5251666930842093, + 0.527535082248973, + 0.5258129621629054, + 0.5213262088798446, + 0.5155324759754096, + 0.5099823611716785, + 0.5062774662346646, + 0.5060264211296257, + 0.5108000025612224, + 0.5220865076904908, + 0.5412485451566837, + 0.5694823774212098, + 0.6077808915129088, + 0.6569011908315222, + 0.7173376907929598, + 0.7893014684499373, + 0.8727064640442532, + 0.9671629644862226, + 1.0719786191589664, + 1.1861670516563818, + 1.3084639417185175, + 1.43735026443662, + 1.5710821934282877, + 1.7077270056396707, + 1.845204171952248, + 1.981330683716964, + 2.1138695540951913, + 2.24058034748301, + 2.3592705325326695, + 2.4678464258792725, + 2.564362495424228, + 2.647067823969591, + 2.714448595443047, + 2.7652655554762027, + 2.7985855135779825, + 2.8138060928158333, + 2.810673091439258, + 2.789289995417681, + 2.750119367182357, + 2.6939760294284802, + 2.6220121589323075, + 2.5356945991841027, + 2.4367748874956807, + 2.327252667540978, + 2.2093333177394383, + 2.0853807655875958, + 1.957866574559644, + 1.8293164806727298, + 1.702255618022929 + ], + [ + 1.6157990654621017, + 1.4975862542772123, + 1.387148638563373, + 1.2865616060576783, + 1.1976659204896027, + 1.1220284090695984, + 1.0609089265184801, + 1.0152343519120763, + 0.9855802067412424, + 0.9721603007351358, + 0.974824620599017, + 0.9930654805414246, + 1.0260317570899076, + 1.0725508389984821, + 1.1311577406934519, + 1.2001306591130687, + 1.2775321030540758, + 1.3612545948852066, + 1.4490698398323976, + 1.5386801804834498, + 1.627771105532111, + 1.7140635632007755, + 1.7953648416244532, + 1.8696168203748649, + 1.934940468142373, + 1.9896755595542608, + 2.032414706705981, + 2.0620309451297683, + 2.077698276010694, + 2.0789047424362788, + 2.065457802950844, + 2.0374819560730217, + 1.995408760006462, + 1.9399595778182206, + 1.8721215552876336, + 1.793117502088533, + 1.7043704929510208, + 1.6074641303906316, + 1.5040995114581428, + 1.3960500153239082, + 1.2851150746023647, + 1.1730741100895583, + 1.0616417957060242, + 0.9524257783265646, + 0.8468879069830906, + 0.7463099294917179, + 0.6517644943778205, + 0.5640921551388204, + 0.4838849159915242, + 0.41147668731693193, + 0.3469408393789049, + 0.2900948591031632, + 0.24051193140659438, + 0.1975390883913835, + 0.16032140115694662, + 0.12783153428094587, + 0.09890384607140341, + 0.07227210193744754, + 0.04660977657244125, + 0.02057185538733612, + -0.007162991594925501, + -0.03785099844691811, + -0.07264376883502136, + -0.11255168301509884, + -0.15841123420223188, + -0.2108571799630778, + -0.2703002692429808, + -0.33691116096032314, + -0.4106109894389254, + -0.4910688593713993, + -0.5777063728802924, + -0.669709108131452, + -0.7660447874955953, + -0.8654876980530555, + -0.9666487627436893, + -1.0680105108653895, + -1.1679660657377404, + -1.2648611585237381, + -1.357038093244763, + -1.4428805311137944, + -1.5208579339559758, + -1.5895685074764145, + -1.6477795155304469, + -1.694463895672574, + -1.7288321927066757, + -1.7503589386451526, + -1.7588027416855854, + -1.7542195002387817, + -1.7369683269130598, + -1.7077099475031874, + -1.6673975269853203, + -1.6172600636382755, + -1.558778678988601, + -1.4936563106570326, + -1.4237814828797357, + -1.3511869812827662, + -1.2780043905799146, + -1.206415562901776, + -1.1386021676697777, + -1.0766945291598944, + -1.0227209837014377, + -0.9785589840960149, + -0.9458891443347109, + -0.9261533537958244, + -0.9205179983071657, + -0.929843207932884, + -0.9546589109104573, + -0.9951483132038687, + -1.0511392475259438, + -1.1221036486796878, + -1.2071652182255936, + -1.305115145524457, + -1.4144355589173125, + -1.5333301949097273, + -1.6597615992762613, + -1.7914940162525599, + -1.9261409843053166, + -2.061216542743103, + -2.1941888654607045, + -2.3225350785616965, + -2.4437959889488483, + -2.5556294519488603, + -2.6558611376356973, + -2.7425315169754776, + -2.813937978743207, + -2.8686711041726003, + -2.9056442656670303, + -2.9241158752257403, + -2.923703783638999, + -2.904391518702442, + -2.866526245131377, + -2.8108085257829933, + -2.738274158423757, + -2.650268549876975, + -2.548414265394519, + -2.4345725512492944, + -2.310799768967398, + -2.1792997969262036, + -2.0423735464232977, + -1.902366802599822, + -1.7616176343006507, + -1.622404620323592, + -1.4868971125477495, + -1.357108699880442, + -1.2348549522926557, + -1.1217164135843918, + -1.019007677728366, + -0.9277532300437172, + -0.8486705648918245, + -0.7821609102921621, + -0.7283077013351844, + -0.6868827531983662, + -0.6573598956801538, + -0.638935649119454, + -0.6305563508497528, + -0.6309509861403346, + -0.6386688417007789, + -0.6521209865789882, + -0.6696244974072554, + -0.6894482845482064, + -0.7098593441769371, + -0.7291682593987997, + -0.7457728010964794, + -0.7581985355415704, + -0.7651354293939987, + -0.765469551369928, + -0.758309100784656, + -0.7430041430189559, + -0.719159596895968, + -0.6866411947992255, + -0.6455743186535727, + -0.5963357990164962, + -0.5395389458363881, + -0.47601225335175373, + -0.4067723837482706, + -0.3329921804768721, + -0.25596458888666324, + -0.1770634658575731, + -0.09770233881920903, + -0.01929222594439449, + 0.056800347873304784, + 0.12929401097061102, + 0.1970307877978516, + 0.25901089509589387, + 0.31442315154220934, + 0.36267017503518967, + 0.4033876770726802, + 0.4364573168365733, + 0.4620127447448915, + 0.4804386421456286, + 0.49236274602385127, + 0.4986410304596795, + 0.5003363954732231, + 0.4986913842821418, + 0.49509560754615295, + 0.4910486938659295, + 0.4881197060459097, + 0.4879040593344981, + 0.4919790485211109, + 0.5018591335472851, + 0.5189521470254532, + 0.5445175713273466, + 0.5796279880157189, + 0.6251347293909272, + 0.6816386625566278, + 0.7494669130887848, + 0.82865619113554, + 0.9189432211286852, + 1.0197626012384444, + 1.1302522345837034, + 1.2492662855873822, + 1.3753954264311432, + 1.5069939550117175, + 1.642213191717604, + 1.77904040209128, + 1.9153423500443671, + 2.048912465344927, + 2.1775205126661095, + 2.2989635800416344, + 2.411117163921114, + 2.5119851172538734, + 2.5997472465128335, + 2.6728033929130066, + 2.7298129111569716, + 2.769728564015151, + 2.79182398041802, + 2.795713975390788, + 2.7813671984591095, + 2.7491107590166894, + 2.699626668151913, + 2.633940131928747, + 2.5533999263377405, + 2.4596512743071486, + 2.3546018256413497, + 2.2403815071146127, + 2.1192971581172784, + 1.9937829935926725, + 1.8663480374151549, + 1.7395217433482035, + 1.6157990654621028 + ], + [ + 1.5325930266603751, + 1.4202636041834182, + 1.317087428232997, + 1.224997100393322, + 1.145665499015531, + 1.0804701592199284, + 1.0304644046574862, + 0.9963558897034513, + 0.978493034062517, + 0.9768596436650815, + 0.9910778168107022, + 1.020419037515737, + 1.0638231637421183, + 1.1199248313474728, + 1.1870866197407894, + 1.26343816659142, + 1.3469202803590177, + 1.4353329842276445, + 1.5263863360003547, + 1.6177528077563383, + 1.7071199780093762, + 1.792242288420297, + 1.8709906467461204, + 1.9413987168480227, + 2.0017048236980064, + 2.0503885142034735, + 2.086200950462403, + 2.108188467363764, + 2.115708797377864, + 2.1084396476820415, + 2.086379503909418, + 2.0498407261040383, + 1.9994351911838233, + 1.9360529176967076, + 1.860834278438625, + 1.775136560418053, + 1.6804957659374573, + 1.5785846599498516, + 1.4711681546477693, + 1.360057180403702, + 1.2470622213490081, + 1.1339476934211703, + 1.02238831273542, + 0.9139285434901185, + 0.8099461288543512, + 0.7116205976424071, + 0.619907506903253, + 0.5355190292384366, + 0.45891132756455527, + 0.3902789833750275, + 0.32955656180655485, + 0.2764272126001826, + 0.23033802501629813, + 0.19052168148247034, + 0.1560237935864092, + 0.12573515902819837, + 0.0984280529594715, + 0.07279556490392214, + 0.047492915734530336, + 0.021179639895204803, + -0.00743850257672616, + -0.039569011142722856, + -0.07629461643007926, + -0.11853876251166487, + -0.1670355321121879, + -0.22230483135678186, + -0.28463351393792247, + -0.3540629702581467, + -0.4303835391161034, + -0.5131359220955864, + -0.6016195984849037, + -0.694908055917719, + -0.7918704736185876, + -0.8911993256842816, + -0.9914432155450655, + -1.0910441136115632, + -1.1883780516795313, + -1.2817982329780777, + -1.3696794482551284, + -1.4504626477923166, + -1.5226985078241477, + -1.5850888478706393, + -1.6365248026068626, + -1.6761207269864966, + -1.7032429146053265, + -1.7175323342719093, + -1.718920735384951, + -1.7076396354163024, + -1.6842218785465004, + -1.6494956389436195, + -1.6045709307361442, + -1.5508188747141454, + -1.4898441545111754, + -1.423451267903433, + -1.3536053375784876, + -1.2823883862804994, + -1.211952100082558, + -1.144468197649108, + -1.0820775903198268, + -1.0268395559240138, + -0.9806821573876351, + -0.9453551151267726, + -0.9223862903816066, + -0.9130428562211006, + -0.9182981258344893, + -0.938804876478957, + -0.9748758552298576, + -1.0264719831601377, + -1.093198591870753, + -1.1743098348470629, + -1.26872122059224, + -1.375030019660195, + -1.4915431083389363, + -1.6163116324551294, + -1.7471717099732331, + -1.881790244790283, + -2.0177147999704674, + -2.152426379674965, + -2.2833938976594292, + -2.4081290681970535, + -2.5242404436841976, + -2.629485342297515, + -2.7218184584457226, + -2.799436027201641, + -2.8608145195073607, + -2.9047429751471427, + -2.9303482321083867, + -2.9371124803054025, + -2.9248827505964283, + -2.8938721421228664, + -2.844652787561033, + -2.7781407521148607, + -2.6955732532188446, + -2.5984787693188225, + -2.4886407733523086, + -2.3680559756098676, + -2.2388880879252793, + -2.103418223554912, + -1.9639931222199642, + -1.822972435827004, + -1.6826763262971658, + -1.545334612408294, + -1.413038658024032, + -1.2876971207204495, + -1.1709965795051227, + -1.064367935595255, + -0.9689593342169509, + -0.8856161917616375, + -0.8148687354689471, + -0.7569272765060986, + -0.7116852465039657, + -0.6787298370143946, + -0.6573598956801538, + -0.6466105567338538, + -0.6452839210952033, + -0.6519849567943088, + -0.6651616672384434, + -0.6831484759492615, + -0.7042117042036897, + -0.7265959742227817, + -0.748570356164967, + -0.7684730924560459, + -0.7847537774498364, + -0.7960119428556602, + -0.8010310978907925, + -0.7988073951686018, + -0.7885722357846231, + -0.7698082862760091, + -0.7422585520555739, + -0.7059283321986052, + -0.661080064525732, + -0.6082212531270675, + -0.5480858481893502, + -0.48160961574022004, + -0.4099001884897184, + -0.33420262446764254, + -0.2558614142235053, + -0.17627996711340937, + -0.09687867039885377, + -0.0190526499505692, + 0.05586963258073846, + 0.12666583433147086, + 0.19225617733846928, + 0.25173590483084207, + 0.3044028703739601, + 0.34977950915976996, + 0.38762858672969447, + 0.4179622820830983, + 0.441044335372647, + 0.4573851708304071, + 0.4677300886339999, + 0.47304080046949415, + 0.4744707579829653, + 0.4733348867030731, + 0.47107448620351217, + 0.4692181864747109, + 0.4693399573792556, + 0.4730152499216316, + 0.4817764027412358, + 0.4970684732893851, + 0.520206649842576, + 0.5523363678379819, + 0.59439719273127, + 0.6470914431281077, + 0.7108584144692398, + 0.7858549278255138, + 0.87194277371647, + 0.9686834511172977, + 1.0753404211628097, + 1.1908889079733178, + 1.3140330901673352, + 1.443230340694087, + 1.5767219942596702, + 1.7125699552982065, + 1.8486983093312412, + 1.9829389704477427, + 2.1130802908182478, + 2.236917477356164, + 2.352303607942119, + 2.4572000164288843, + 2.5497248226127835, + 2.628198420414661, + 2.691184803839686, + 2.7375277043345663, + 2.7663806327006726, + 2.777230060886452, + 2.769911140343961, + 2.744615530284543, + 2.7018910968173016, + 2.642633438032783, + 2.5680693858700745, + 2.479732828296366, + 2.37943338022152, + 2.2692186041395788, + 2.151330637503733, + 2.0281582194743275, + 1.9021852215977488, + 1.775936872424433, + 1.6519249229505282, + 1.5325930266603793 + ], + [ + 1.4533414623571634, + 1.3478399393397524, + 1.252780583353324, + 1.169936871265012, + 1.100799662930009, + 1.046545575054794, + 1.008012524909592, + 0.9856829993886064, + 0.9796754208991236, + 0.9897437888042713, + 1.0152855783432222, + 1.0553576828974751, + 1.1086999949311567, + 1.1737660405365329, + 1.248759916639794, + 1.331678632582733, + 1.420358832550239, + 1.5125267751725766, + 1.6058503739858287, + 1.697992058996628, + 1.786661206361147, + 1.869664900402801, + 1.9449558393589697, + 2.0106762721293534, + 2.0651969559583265, + 2.1071502518261576, + 2.135456622164387, + 2.149343960652505, + 2.1483593621815236, + 2.132373128153063, + 2.101574993481855, + 2.056462752255169, + 1.9978236442705102, + 1.9267090400610836, + 1.844403123220194, + 1.7523864119057277, + 1.6522950828575567, + 1.5458771581525006, + 1.4349466849283032, + 1.3213370797789077, + 1.20685482152064, + 1.0932346583514418, + 0.982097448611458, + 0.8749116796673095, + 0.7729596088411319, + 0.6773088463892551, + 0.5887900564820805, + 0.5079812916215619, + 0.43519930303631726, + 0.37049798870006295, + 0.31367395630320577, + 0.26427899542467637, + 0.22163907591832138, + 0.18487932260857412, + 0.1529542639820958, + 0.12468251849420307, + 0.09878496974435981, + 0.07392539392786615, + 0.0487524418357282, + 0.02194184477222277, + -0.007762290101282748, + -0.041508204230035525, + -0.08030028745105577, + -0.12496692780489024, + -0.1761332802370003, + -0.23419969486273892, + -0.29932639818357604, + -0.3714248579904791, + -0.4501560887932829, + -0.5349359738781818, + -0.6249474970993408, + -0.7191595968959685, + -0.816352181377266, + -0.9151466810481056, + -1.0140413689896877, + -1.1114505508080217, + -1.2057466216855153, + -1.2953039081218019, + -1.3785431595040738, + -1.4539755308963827, + -1.5202449040555495, + -1.5761674286064216, + -1.6207672287438644, + -1.6533073112598609, + -1.6733148259286195, + -1.6805999665026397, + -1.6752679564044304, + -1.6577237337953052, + -1.6286691318410376, + -1.589092537177648, + -1.5402511981523264, + -1.483646539672216, + -1.4209930188069881, + -1.3541812202168093, + -1.2852360388697182, + -1.2162709256282023, + -1.1494392758742387, + -1.086884119733427, + -1.0306873226226938, + -0.9828195254486684, + -0.9450920442201943, + -0.9191119092484968, + -0.9062411553753376, + -0.9075613783972575, + -0.9238444513307631, + -0.9555301503041334, + -1.0027112771378124, + -1.065126688029672, + -1.1421624495106226, + -1.2328611485651788, + -1.3359391882609395, + -1.4498117081794073, + -1.5726245850879368, + -1.7022927981427698, + -1.836544288664872, + -1.9729683109708214, + -2.1090671611552447, + -2.242310087808502, + -2.370188134461447, + -2.490268639423771, + -2.600248125233288, + -2.69800234701967, + -2.781632335818154, + -2.849505367632166, + -2.9002899095366863, + -2.932983737406002, + -2.9469345824505653, + -2.941852841697999, + -2.917816076517252, + -2.8752652186600054, + -2.814992600322658, + -2.738122118621091, + -2.6460820309055593, + -2.5405710510073307, + -2.4235185735929012, + -2.297039990507381, + -2.1633881760220155, + -2.0249023045527648, + -1.8839552226286236, + -1.7429006253042565, + -1.6040212852073428, + -1.469479550112741, + -1.3412712632130035, + -1.2211841706998903, + -1.110761766158246, + -1.0112733835007892, + -0.9236911931914502, + -0.8486745842339394, + -0.7865622311275162, + -0.7373719552633096, + -0.7008082987504299, + -0.6762775401532238, + -0.6629097007368109, + -0.6595869210056489, + -0.664977434718046, + -0.6775742348956584, + -0.6957374168452176, + -0.7177390995113535, + -0.7418097705785586, + -0.7661848739353653, + -0.7891504609755922, + -0.8090867595709098, + -0.8245085755015283, + -0.8341015290622857, + -0.8367532421832609, + -0.8315787258196053, + -0.8179393701370316, + -0.7954551072569223, + -0.7640094937834901, + -0.7237476435203505, + -0.6750671250658531, + -0.6186021197046243, + -0.5552013076331671, + -0.485900110725449, + -0.4118880637342058, + -0.33447220942797, + -0.2550375135843155, + -0.17500537048449558, + -0.09579131671978268, + -0.018763089557255485, + 0.054799844621801035, + 0.12374420591395446, + 0.1870772420988164, + 0.2439965706631846, + 0.29391471423841486, + 0.33647766022136055, + 0.37157693081144266, + 0.39935481850621385, + 0.4202026199791217, + 0.4347518837087395, + 0.44385886911357414, + 0.44858259264360045, + 0.45015700477569615, + 0.4499579968691588, + 0.4494660744081626, + 0.4502256497726964, + 0.4538020003433692, + 0.4617370040609612, + 0.47550480279004603, + 0.4964685529411025, + 0.5258394024803579, + 0.5646387841320639, + 0.6136650374128321, + 0.673465268990713, + 0.744313234246089, + 0.8261938759327188, + 0.918794992116701, + 1.0215063291566888, + 1.1334262107535076, + 1.2533756256325397, + 1.3799195089221965, + 1.5113947704370356, + 1.6459444514161585, + 1.7815572341134216, + 1.9161113899437576, + 2.0474221351659434, + 2.1732912712971504, + 2.291557922966658, + 2.400149150411787, + 2.497129208271036, + 2.580746246971261, + 2.6494753073242037, + 2.7020565416955065, + 2.7375277043345663, + 2.755250086546643, + 2.754927226146341, + 2.736615891335764, + 2.7007290226586256, + 2.6480305085288536, + 2.5796218653415037, + 2.4969210875709695, + 2.4016341217923385, + 2.2957195966101756, + 2.181347603680622, + 2.060853469361204, + 1.936687578472324, + 1.811362408202367, + 1.6873979989548182, + 1.5672671282182613, + 1.4533414623571645 + ], + [ + 1.3787148766482227, + 1.2809279967228833, + 1.1947721689312236, + 1.1218467531262184, + 1.0634479975083477, + 1.0205416739072863, + 0.9937432403370577, + 0.9833059784491442, + 0.9891173637233881, + 1.0107037304546844, + 1.047243096579872, + 1.0975858199367892, + 1.160282572358161, + 1.2336189455724857, + 1.3156558473912083, + 1.4042747118655503, + 1.4972264362448702, + 1.5921828733180117, + 1.6867896520695664, + 1.7787190738301413, + 1.865721835802741, + 1.945676368816774, + 2.0166346404638475, + 2.0768633667527183, + 2.1248796927538867, + 2.159480542437039, + 2.1797649965408836, + 2.1851492308996914, + 2.175373731868882, + 2.150502695774532, + 2.110915710950334, + 2.057292009188672, + 1.9905877536826426, + 1.912006998344299, + 1.8229671046406735, + 1.7250595331025338, + 1.6200070342511315, + 1.5096183452641005, + 1.3957415523239778, + 1.2802173030218567, + 1.164833047913869, + 1.0512794555799214, + 0.9411100822764552, + 0.8357052871814155, + 0.7362412696393399, + 0.6436649686741117, + 0.5586754108256767, + 0.4817119240094098, + 0.41294945686413226, + 0.35230105945799295, + 0.299427396898377, + 0.25375298699108156, + 0.21448868115835346, + 0.18065974867896523, + 0.15113878195343733, + 0.1246825184942031, + 0.0999715767485615, + 0.0756520301444835, + 0.050377698715276385, + 0.022852021420228734, + -0.008131614779621953, + -0.04365217125784234, + -0.08462689210852616, + -0.13178179370761556, + -0.18562750751075519, + -0.2464411345531988, + -0.3142546135306174, + -0.3888499347307571, + -0.469761353753012, + -0.5562845764164663, + -0.6474927041453283, + -0.7422585520555742, + -0.8392827844458898, + -0.9371271586818474, + -1.0342520324736275, + -1.129057174762065, + -1.2199248297940701, + -1.3052639198318068, + -1.3835542359835562, + -1.4533894598453339, + -1.5135178812483314, + -1.562879728927726, + -1.6006401101467178, + -1.626216660312907, + -1.6393011318493749, + -1.6398742998807627, + -1.6282137270073114, + -1.604894106490713, + -1.570780088171711, + -1.5270116797789353, + -1.4749825032765447, + -1.4163113668627705, + -1.3528077836396069, + -1.2864322235456525, + -1.2192520219579717, + -1.1533939829614854, + -1.090994804735142, + -1.0341505165109985, + -0.9848661494974583, + -0.9450068671109817, + -0.9162517526612269, + -0.900051395858107, + -0.8975903344638135, + -0.9097552961070835, + -0.9371100503725474, + -0.9798775260235782, + -1.0379296763693031, + -1.1107853915178174, + -1.1976165640535166, + -1.2972622192252083, + -1.408250426808723, + -1.5288275241581208, + -1.6569940031812223, + -1.790546252404, + -1.9271232028938827, + -2.064256807095732, + -2.1994251855466, + -2.3301072103000413, + -2.453837257348572, + -2.5682588543006837, + -2.6711759742163377, + -2.760600781251061, + -2.8347967172843322, + -2.892315928990364, + -2.932030169168707, + -2.9531544613213776, + -2.955262988664262, + -2.9382968538011083, + -2.902563548661885, + -2.848728171306085, + -2.777796622021684, + -2.6910912010496877, + -2.5902192096197045, + -2.477035320442955, + -2.3535986293944062, + -2.222125423310903, + -2.0849387966764077, + -1.944416320123378, + -1.8029370044973994, + -1.662828814781509, + -1.5263179682706145, + -1.3954812015887774, + -1.2722021127498986, + -1.1581325794733905, + -1.0546601260295048, + -0.9628819612372848, + -0.8835862436090074, + -0.8172409501765753, + -0.763990537703107, + -0.7236603934303976, + -0.6957688819744472, + -0.6795466101559767, + -0.6739623569880296, + -0.6777549560212281, + -0.6894702756816151, + -0.7075023235723652, + -0.730137405843737, + -0.7556002049374928, + -0.7821005998770112, + -0.8078800436801984, + -0.8312563325594079, + -0.8506656507417061, + -0.8647008516707864, + -0.8721450390263954, + -0.8719996367662266, + -0.863506283036435, + -0.8461620445964728, + -0.8197276222508718, + -0.7842283992702853, + -0.7399483693273491, + -0.6874171634125463, + -0.6273905719205223, + -0.5608251241611618, + -0.4888474387783931, + -0.41271919115764005, + -0.3337986545471018, + -0.2534998575413206, + -0.17325045963507416, + -0.09444947728615408, + -0.018425994576408356, + 0.05360003488670967, + 0.12055384401652662, + 0.18153779821451538, + 0.23585837086206832, + 0.2830474176824278, + 0.32287716788113885, + 0.3553685135904505, + 0.3807923536677535, + 0.3996639289075337, + 0.41273026863135437, + 0.42095104878156686, + 0.42547333448767677, + 0.42760084120565356, + 0.42875849384656267, + 0.4304531891018107, + 0.4342317692146105, + 0.44163729308578, + 0.4541647408159325, + 0.4732173092410619, + 0.500064448100051, + 0.5358027493026326, + 0.581320736200838, + 0.637268507375596, + 0.7040330724776476, + 0.7817200789733847, + 0.8701424716558215, + 0.9688164553676865, + 1.0769649497960083, + 1.1935285379464815, + 1.317183721654396, + 1.44636811293534, + 1.5793120137396075, + 1.7140756731701037, + 1.8485913645673564, + 1.980709298762065, + 2.108246287446488, + 2.229035994641003, + 2.3409795666026287, + 2.4420954125109904, + 2.5305669204164194, + 2.6047869350418713, + 2.6633978951503, + 2.70532662665869, + 2.7298129111569716, + 2.7364310950101562, + 2.7251041682717365, + 2.6961099212390787, + 2.6500789752947527, + 2.587984679100471, + 2.5111250564961067, + 2.421097183830016, + 2.319764557222767, + 2.2092181799634036, + 2.0917322526904436, + 1.9697154804709176, + 1.8456591181251027, + 1.7220829555056432, + 1.601480495940161, + 1.4862646024029473, + 1.3787148766482238 + ], + [ + 1.3093446442175654, + 1.220093881645348, + 1.1435529624018124, + 1.0811336101374212, + 1.0339265147418355, + 1.002678460548012, + 0.9877772755442924, + 0.9892449375578265, + 1.006738979426489, + 1.0395621380254758, + 1.086679996455427, + 1.1467461794858749, + 1.2181344840767157, + 1.2989771637949774, + 1.387208442150121, + 1.4806122087590385, + 1.576872756732667, + 1.6736273520288432, + 1.768519387333538, + 1.8592508651819961, + 1.9436329776337402, + 2.019633602243853, + 2.0854206149683803, + 2.1394000279476013, + 2.1802480911246502, + 2.206936648097824, + 2.2187512046949, + 2.2153013493169627, + 2.1965233526482426, + 2.162674966200648, + 2.1143226296183495, + 2.052321481015648, + 1.9777887383288724, + 1.8920711784720288, + 1.7967075811171547, + 1.6933871217687002, + 1.5839047916199018, + 1.4701149872489874, + 1.3538844499971503, + 1.237045742050824, + 1.121352423748478, + 1.0084370451070017, + 0.8997729853966009, + 0.7966410698539617, + 0.7001017650138605, + 0.6109736069264754, + 0.5298183534633272, + 0.4569331771390032, + 0.3923500328147874, + 0.3358421499044096, + 0.2869374159312751, + 0.2449382420938195, + 0.20894733631165413, + 0.17789865919846698, + 0.15059270729991106, + 0.12573515902819826, + 0.10197783473987503, + 0.0779608654300698, + 0.05235493596453672, + 0.023902469332920916, + -0.0085433519578437, + -0.045982773294931896, + -0.08923782536927725, + -0.13892570337054172, + -0.19543788847452973, + -0.2589255823090654, + -0.329291860522116, + -0.4061907764448207, + -0.48903346458224767, + -0.5770011108726135, + -0.6690644769694345, + -0.7640094937834897, + -0.8604682795462826, + -0.956954793798446, + -1.0519042146383815, + -1.1437150254679538, + -1.2307927219488857, + -1.3115940019020693, + -1.384670281719022, + -1.4487093930654626, + -1.5025743530594557, + -1.5453381687865877, + -1.5763137313463804, + -1.5950779733113063, + -1.601489603610875, + -1.5956998919744743, + -1.578156147266575, + -1.5495977160552015, + -1.5110445150430547, + -1.4637782988929828, + -1.409317048801869, + -1.3493830423172897, + -1.285865326952718, + -1.220777465058571, + -1.1562115414844298, + -1.0942895256674503, + -1.0371131533375295, + -0.986713538127312, + -0.9450017388030769, + -0.9137214931109121, + -0.8944052846277013, + -0.8883348355238657, + -0.8965070175064878, + -0.9196060478139928, + -0.9579826899891959, + -1.0116410138213903, + -1.080233089330322, + -1.1630618003322655, + -1.2590917685971277, + -1.3669681846275512, + -1.485043150436267, + -1.6114089580380915, + -1.743937559164125, + -1.880325331080626, + -2.0181421140584623, + -2.1548833911792817, + -2.28802440337071, + -2.4150749437646546, + -2.533633556889519, + -2.64143988031895, + -2.7364239089357296, + -2.8167510339119772, + -2.8808618081198967, + -2.9275055145551456, + -2.9557667614443077, + -2.965084493441589, + -2.9552629886642614, + -2.926474601881444, + -2.8792542103178325, + -2.814485515489869, + -2.7333795474659097, + -2.6374459022450405, + -2.5284574141075744, + -2.408409118656517, + -2.27947249512388, + -2.1439460851581433, + -2.0042036671364682, + -1.8626412181153482, + -1.7216239186128435, + -1.5834344480086913, + -1.4502237807094167, + -1.3239656263495507, + -1.2064155629017816, + -1.099075792033898, + -1.0031663043806698, + -0.9196030821344582, + -0.8489837914907863, + -0.7915812323575521, + -0.7473446219358963, + -0.7159085970250204, + -0.6966096319223044, + -0.6885093892111585, + -0.6904243539605394, + -0.70096095198323, + -0.7185552234682219, + -0.74151601765161, + -0.7680705947609004, + -0.7964114701434287, + -0.8247433134513749, + -0.8513287234539599, + -0.8745317361896909, + -0.8928579897344665, + -0.9049905611140062, + -0.9098206074388081, + -0.9064720811923427, + -0.8943199452376518, + -0.873001482566115, + -0.8424204747975712, + -0.802744207426382, + -0.7543934441483617, + -0.6980256926529428, + -0.6345122554921954, + -0.5649097177407015, + -0.49042666417004377, + -0.41238653904592987, + -0.33218765840411696, + -0.2512614553604416, + -0.17103008190503752, + -0.09286450466676578, + -0.018044216984102992, + 0.05228035430874336, + 0.11712174054449487, + 0.17568471188745427, + 0.2273901582803881, + 0.27189292295237016, + 0.30909309845859617, + 0.33914046561079986, + 0.3624319344198618, + 0.37960202877821214, + 0.39150663842670086, + 0.3992004381638938, + 0.4039085407827802, + 0.4069931026234202, + 0.4099157350237398, + 0.4141966878975771, + 0.4213718602672873, + 0.4329487545344798, + 0.4503625249600867, + 0.4749332753248098, + 0.5078257358660242, + 0.5500123958868172, + 0.6022410871811328, + 0.6650079065829837, + 0.738536236139322, + 0.8227624698179438, + 0.9173288899880374, + 1.0215839592553513, + 1.1345901080093348, + 1.2551389098570656, + 1.3817733506730485, + 1.512816716948479, + 1.6464074599905598, + 1.7805392385557386, + 1.913105207583081, + 2.0419455082466733, + 2.16489682743784, + 2.279842835265543, + 2.3847642787953696, + 2.47778750988147, + 2.5572302546895465, + 2.621643491725003, + 2.6698483924998997, + 2.7009673923307176, + 2.714448595443047, + 2.710082875275303, + 2.6880132038273437, + 2.6487359288900847, + 2.5930939105130326, + 2.5222616234201674, + 2.437722525494584, + 2.34123917918357, + 2.2348167881503125, + 2.120660971408374, + 2.001130737589829, + 1.8786877394592965, + 1.7558429803980493, + 1.6351022080768052, + 1.5189112643340785, + 1.409602663527043, + 1.309344644217569 + ], + [ + 1.2458176686219353, + 1.1658522782484468, + 1.0995563014292793, + 1.0481418939112088, + 1.0124849797332969, + 0.9931070658451844, + 0.9901651052930717, + 1.0034496304331848, + 1.0323911811657078, + 1.076074856330022, + 1.1332626239515446, + 1.2024228426576373, + 1.2817662767353997, + 1.3692877351029298, + 1.4628123335869616, + 1.5600452734963761, + 1.6586239501019409, + 1.75617115416114, + 1.8503481092342926, + 1.9389060976563135, + 2.0197354683390696, + 2.090910889023223, + 2.150731802402266, + 2.197757167262139, + 2.230833709365921, + 2.2491170686804947, + 2.2520854056639967, + 2.2395452153385227, + 2.211629289157502, + 2.168786956515593, + 2.111766925412321, + 2.041593220653629, + 1.959534883670711, + 1.867070246501451, + 1.7658467201012142, + 1.6576371408360373, + 1.5442937962729748, + 1.427701300391438, + 1.3097295079740559, + 1.19218764780698, + 1.0767808147801075, + 0.9650698931116957, + 0.8584358885167432, + 0.7580495286402941, + 0.6648468515271334, + 0.5795113448597375, + 0.5024630281582815, + 0.43385469042137115, + 0.3735753113370859, + 0.32126050986187604, + 0.2763096842926626, + 0.23790933746343762, + 0.20506192366311288, + 0.1766194142334914, + 0.15132066006018746, + 0.12783153428094593, + 0.10478676986785233, + 0.08083236599334914, + 0.0546674252616709, + 0.025084301245624965, + -0.00899401815310708, + -0.04848029239346125, + -0.09409407665145259, + -0.1463382160852653, + -0.20548142286612234, + -0.2715474140530501, + -0.3443109172440919, + -0.4233006717649526, + -0.5078093705026473, + -0.5969103059907875, + -0.6894803086122315, + -0.7842283992702854, + -0.8797294278033515, + -0.9744618356327077, + -1.0668485700351364, + -1.1553000908759634, + -1.238258350864557, + -1.3142405989738801, + -1.3818818544585325, + -1.4399749260394805, + -1.4875069066894029, + -1.523691157719445, + -1.5479939045153122, + -1.5601546976375014, + -1.560200143851929, + -1.548450478263804, + -1.525518726958136, + -1.4923023949737506, + -1.4499678024343847, + -1.3999273775355097, + -1.343810394187105, + -1.2834278099468408, + -1.220732012221685, + -1.157772413721475, + -1.0966479484400344, + -1.0394576041998764, + -0.9882501848339441, + -0.9449745228849655, + -0.9114313614928756, + -0.8892280918692865, + -0.8797374711248187, + -0.8840613556480039, + -0.903000369855025, + -0.9370302917010324, + -0.9862857782045773, + -1.050551880217663, + -1.1292636100047166, + -1.2215136323991065, + -1.3260679550931773, + -1.4413893007625944, + -1.5656676579525959, + -1.6968573335201695, + -1.8327196712106335, + -1.9708704625415578, + -2.1088309609836413, + -2.2440813213111386, + -2.3741152251531883, + -2.496494422728912, + -2.6089019202819346, + -2.709192572883682, + -2.795439902338726, + -2.865978048456641, + -2.919437876811688, + -2.9547764045091713, + -2.97129886405191, + -2.968672900296498, + -2.9469345824505653, + -2.9064861075398714, + -2.84808526903508, + -2.772826959574541, + -2.682117165205022, + -2.577640085709797, + -2.4613191771067315, + -2.33527305436884, + -2.2017673114196916, + -2.0631634086264277, + -1.9218658431311684, + -1.7802688528953186, + -1.6407039104761116, + -1.505389237255062, + -1.3763825137835306, + -1.2555378785227356, + -1.1444681976491065, + -1.0445134555266515, + -0.9567159622441099, + -0.8818029050934262, + -0.8201765892394954, + -0.7719125236007736, + -0.7367653158056343, + -0.7141821497524944, + -0.7033234354689992, + -0.7030900481522587, + -0.7121564157108187, + -0.7290085756649831, + -0.7519862062585025, + -0.7793275458901102, + -0.8092160516535145, + -0.8398276133582111, + -0.8693771346487624, + -0.8961633177650222, + -0.9186105423693856, + -0.9353068102690617, + -0.9450368346579971, + -0.9468094819423748, + -0.9398789229828127, + -0.9237590148976923, + -0.8982306102557565, + -0.8633416730958472, + -0.8194002661362808, + -0.7669606561139318, + -0.7068029598292568, + -0.63990691775403, + -0.5674205308618036, + -0.49062442593898026, + -0.4108929217864668, + -0.32965285075536926, + -0.24834124493701734, + -0.1683630226947136, + -0.09104980844718573, + -0.017620986791526634, + 0.050851967982753966, + 0.11347693264627627, + 0.16956750287651184, + 0.21866357782849494, + 0.26054560212112216, + 0.2952420714184064, + 0.32303008350167417, + 0.34442889821756056, + 0.3601866523443599, + 0.37126055461011254, + 0.37879105726864387, + 0.38407065944183005, + 0.38850813982250526, + 0.39358913866677275, + 0.40083410815180004, + 0.4117547235795939, + 0.4278098936572213, + 0.45036252496008655, + 0.4806381831917383, + 0.5196867522325013, + 0.5683481221928746, + 0.6272228414370882, + 0.6966485471654865, + 0.7766828475983074, + 0.8670931695813273, + 0.9673539124781892, + 1.076651066819251, + 1.1938942688825154, + 1.3177360748598852, + 1.4465980551998738, + 1.57870313570334, + 1.7121134513535734, + 1.8447728357348088, + 1.9745529468558498, + 2.0993019323556563, + 2.2168944659370116, + 2.3252819443087276, + 2.42254162106693, + 2.5069234712286135, + 2.576893627217171, + 2.6311733029234414, + 2.6687722252465425, + 2.6890157198065805, + 2.691564746256166, + 2.6764283452037394, + 2.643968139156216, + 2.594894719701029, + 2.5302559477475404, + 2.4514173882790042, + 2.3600352909642313, + 2.2580227084870996, + 2.1475095111406106, + 2.0307972050020364, + 1.9103095881941823, + 1.7885403822058004, + 1.66799905045858, + 1.5511560623983376, + 1.440388877198962, + 1.3379299062833454, + 1.2458176686219362 + ], + [ + 1.1886714168211636, + 1.1186620950415296, + 1.0631544176741736, + 1.023150729295781, + 0.9993047975713125, + 0.9919084681290973, + 1.000886527463216, + 1.025799878945796, + 1.0658569397065751, + 1.119932971249269, + 1.1865968689607227, + 1.2641447596876596, + 1.350639596574599, + 1.4439558002471669, + 1.541827878569015, + 1.6419018664060043, + 1.7417883642639416, + 1.8391159217973574, + 1.9315835097566219, + 2.017010851941947, + 2.0933854464105828, + 2.1589051910553825, + 2.212015640566149, + 2.251441056890817, + 2.2762085702571175, + 2.285664938740059, + 2.2794855770240736, + 2.2576757148873514, + 2.2205637383382744, + 2.1687869565155924, + 2.103270220746301, + 2.0251979940398726, + 1.935980625578532, + 1.8372157216300902, + 1.7306456184417482, + 1.6181120513202893, + 1.5015091751551695, + 1.3827361236746842, + 1.263650297044554, + 1.1460225400661452, + 1.0314953169895185, + 0.9215449053237433, + 0.8174485221817406, + 0.7202571654419564, + 0.6307748017002907, + 0.5495443674478221, + 0.4768408733410496, + 0.41267171829728455, + 0.3567841350703872, + 0.3086795066034212, + 0.2676341174013055, + 0.2327257408137255, + 0.2028653155619064, + 0.1768328367753074, + 0.15331648142451218, + 0.13095390796918702, + 0.10837461727025255, + 0.08424223764018733, + 0.057295601900811316, + 0.02638751832557423, + -0.00947980052547134, + -0.05112359841171628, + -0.09915455987172558, + -0.15395661864001853, + -0.21567313783982903, + -0.2841998433771517, + -0.35918471568047655, + -0.4400348632344245, + -0.5259302188539278, + -0.615843720971273, + -0.7085674718997493, + -0.8027442074263822, + -0.8969032711870704, + -0.9895001666886879, + -1.0789586626548342, + -1.1637143560904395, + -1.24225855394222, + -1.3131813196384128, + -1.3752125455584892, + -1.4272599563108193, + -1.4684430195525608, + -1.4981218392353117, + -1.5159202282033748, + -1.5217423000066626, + -1.5157820800857913, + -1.498525810169353, + -1.470746802476514, + -1.433492887589145, + -1.3880666869719047, + -1.3359991233940793, + -1.2790167553724001, + -1.219003680862361, + -1.157958896762308, + -1.0979501207787947, + -1.0410651777747812, + -0.9893621214261066, + -0.9448193020486775, + -0.9092866017400341, + -0.884439038149668, + -0.8717338886440068, + -0.8723724084920768, + -0.8872671118040439, + -0.9170154548102819, + -0.9618806107803538, + -1.0217798580850934, + -1.096280921675311, + -1.1846064180010076, + -1.2856463587692937, + -1.397978474696831, + -1.519895931311896, + -1.6494418295410982, + -1.7844497186819457, + -1.922589202478459, + -2.0614155940024865, + -2.1984224749872516, + -2.3310959426398514, + -2.456969283585206, + -2.573676801558023, + -2.6790055431121957, + -2.7709437135573234, + -2.8477246524160806, + -2.907865342066513, + -2.9501985523627026, + -2.9738978747832046, + -2.9784950683750924, + -2.9638893223403393, + -2.9303482321083862, + -2.8785004824834215, + -2.8093204281609885, + -2.724104953793857, + -2.6244431781894524, + -2.5121797357143, + -2.3893725184826033, + -2.258245891778245, + -2.1211404992979928, + -1.980460851713794, + -1.838621939909883, + -1.6979961319469714, + -1.5608615999727806, + -1.4293534803194579, + -1.305418898024703, + -1.1907768878188714, + -1.0868841197334271, + -0.9949071920082411, + -0.9157020905333202, + -0.8498012367167405, + -0.7974083588215883, + -0.7584012300825141, + -0.7323421250293768, + -0.7184956581379726, + -0.7158534907984955, + -0.7231652280068123, + -0.7389746791625855, + -0.7616605314784453, + -0.7894803828103591, + -0.8206170056490564, + -0.8532256673377266, + -0.8854813143642138, + -0.9156244411448092, + -0.9420045056576182, + -0.9631198244523241, + -0.9776529761154579, + -0.9845008627074309, + -0.9827987199211299, + -0.9719375251393133, + -0.9515744241659018, + -0.9216359778288262, + -0.8823142143411415, + -0.8340556576063437, + -0.7775436809241022, + -0.7136747052894159, + -0.643528917422177, + -0.5683363209093076, + -0.4894390509311488, + -0.4082509760571356, + -0.32621567722058065, + -0.24476393257264026, + -0.16527184653188037, + -0.08902074177859134, + -0.017159884717622316, + 0.04932696070341154, + 0.109650257045985, + 0.1632379255379893, + 0.20975246032583444, + 0.24910145865763997, + 0.2814412727169941, + 0.3071736683857476, + 0.32693555889358783, + 0.34158206247616996, + 0.3521633082121352, + 0.3598955786935414, + 0.3661275279177192, + 0.37230234395275014, + 0.37991683516871494, + 0.39047850333576517, + 0.4054617244797146, + 0.42626418754238704, + 0.4541647408159321, + 0.49028376673979207, + 0.5355471476338485, + 0.590654799679241, + 0.6560546420233262, + 0.7319227349862164, + 0.8181501692601137, + 0.9143371204836669, + 1.0197943047994185, + 1.133551885411232, + 1.2543756923791112, + 1.3807904326134761, + 1.5111093889010472, + 1.6434699402832982, + 1.7758740854094175, + 1.9062330194091301, + 2.0324147067059823, + 2.15229330978696, + 2.2637992793930994, + 2.364968886346621, + 2.4539919800072414, + 2.529256793135251, + 2.589390676969932, + 2.6332957421221557, + 2.660178498252163, + 2.669572725644026, + 2.6613549713155087, + 2.635752237348726, + 2.5933416154360893, + 2.5350418146650764, + 2.462096724597788, + 2.376051347963674, + 2.2787206220630503, + 2.1721518207385797, + 2.0585813852641777, + 1.9403871688720267, + 1.8200371925244299, + 1.700036096144959, + 1.5828705277038346, + 1.4709547408487453, + 1.3665776694617597, + 1.271852714630445, + 1.1886714168211643 + ], + [ + 1.1383893719644558, + 1.0789225823283264, + 1.0346552875451016, + 1.0063715528524142, + 0.9944974785610722, + 0.9990928080787993, + 1.0198508339716668, + 1.0561065898796411, + 1.1068531195884075, + 1.1707654232849778, + 1.2462314996361643, + 1.3313897352283837, + 1.4241717441429442, + 1.5223496336088873, + 1.6235865698307936, + 1.7254894436713806, + 1.8256623906425349, + 1.9217599046703602, + 2.0115383006526715, + 2.092904326474841, + 2.1639597997068023, + 2.2230412457773694, + 2.2687536404579163, + 2.2999975068351426, + 2.3159887819427443, + 2.316271046757714, + 2.3007199009267065, + 2.2695394557331223, + 2.2232511107076083, + 2.1626749662006484, + 2.0889044015865674, + 2.003274512210455, + 1.9073252437342174, + 1.8027601866476834, + 1.6914020933874754, + 1.5751462533640659, + 1.4559129055214026, + 1.3355998828407227, + 1.216036668184187, + 1.098940996529758, + 0.9858790661799387, + 0.8782303228351126, + 0.7771576580577799, + 0.6835837207528443, + 0.5981738804926444, + 0.5213262088798448, + 0.45316866403554135, + 0.39356347829631555, + 0.3421185649640017, + 0.29820558110957995, + 0.26098411447884357, + 0.2294313077179436, + 0.20237609630654707, + 0.17853712117263623, + 0.15656328584102355, + 0.1350758633986289, + 0.11271102213453212, + 0.08816163131346759, + 0.06021723031832751, + 0.02780109476655994, + -0.009996589136247262, + -0.053890327784673016, + -0.10437646105215816, + -0.1617164559018221, + -0.22592680687516867, + -0.2967758250039999, + -0.37378741676602756, + -0.45625177202109807, + -0.5432426990592606, + -0.6336411705558678, + -0.726164480793537, + -0.8194002661362809, + -0.911844511211161, + -1.0019425558807307, + -1.0881320356340336, + -1.1688866326201695, + -1.2427594876537253, + -1.308425125878175, + -1.364718780390083, + -1.4106720582769727, + -1.4455439807606147, + -1.468846541338812, + -1.48036406022567, + -1.480165766684553, + -1.4686112092313264, + -1.4463482729743684, + -1.4143037690873999, + -1.3736667489454613, + -1.3258648801029997, + -1.2725343984265902, + -1.2154843158615805, + -1.1566557123481556, + -1.0980770695365276, + -1.0418167098987194, + -0.9899334848799866, + -0.9444269077988721, + -0.9071879499027896, + -0.8799517106543712, + -0.8642531360431029, + -0.8613868923105732, + -0.872372408492077, + -0.8979249818442842, + -0.9384336984116378, + -0.9939467601076503, + -1.0641646336537016, + -1.1484412498109773, + -1.2457932881206433, + -1.3549173875573475, + -1.4742149318723636, + -1.6018238746563538, + -1.7356568978018965, + -1.8734450423089448, + -2.0127858160666525, + -2.151194672679116, + -2.2861586713202025, + -2.415191072094418, + -2.535885595840541, + -2.645969082401674, + -2.743351317008908, + -2.8261708597470707, + -2.892835806523025, + -2.9420585292834427, + -2.972883585538414, + -2.984708149086164, + -2.9772944912689634, + -2.9507742308072156, + -2.90564426566703, + -2.84275449776371, + -2.7632876557906414, + -2.6687317083636803, + -2.5608455344471235, + -2.441618676440653, + -2.3132261395233833, + -2.177979315535436, + -2.038274198073376, + -1.8965381154750558, + -1.7551762385621603, + -1.6165191197183604, + -1.48277248917876, + -1.3559704741121263, + -1.237933317733656, + -1.130230561523991, + -1.034150516510999, + -0.9506766929151228, + -0.8804716851619625, + -0.8238688255997846, + -0.7808717297691422, + -0.7511616634598683, + -0.7341124718026066, + -0.7288126279486282, + -0.7340937879727912, + -0.748565083669127, + -0.7706522496716367, + -0.7986405691022563, + -0.8307205354238547, + -0.8650350694151941, + -0.8997271005502734, + -0.9329863221923909, + -0.9630939597994141, + -0.9884644499388058, + -1.0076830137714055, + -1.0195382195487368, + -1.0230487617273332, + -1.0174838361364598, + -1.00237665738092, + -0.9775308420932547, + -0.943019565284609, + -0.8991775822493476, + -0.8465863905930935, + -0.7860529814001056, + -0.7185827909573274, + -0.6453476107404711, + -0.5676493398850119, + -0.48688056795550405, + -0.40448305391430056, + -0.32190521784319426, + -0.2405597839486653, + -0.16178270616564838, + -0.08679447148316197, + -0.016664811894586344, + 0.04771823472237298, + 0.10567408915078967, + 0.15674953096033692, + 0.2007321978588059, + 0.2376573151941578, + 0.26780746335630473, + 0.2917053727100106, + 0.3100999180144509, + 0.32394566242259865, + 0.33437647057889824, + 0.34267386673763295, + 0.3502309532224994, + 0.35851282338041757, + 0.3690144984039461, + 0.3832174865521809, + 0.4025461045876482, + 0.42832471356314866, + 0.4617370040609606, + 0.5037884199674786, + 0.5552727359480605, + 0.6167437037604965, + 0.6884925588603485, + 0.77053203445446, + 0.862587368819308, + 0.9640946173221969, + 1.074206397503143, + 1.1918050083580964, + 1.3155226782881888, + 1.4437685147188204, + 1.5747615567017497, + 1.7065691742142988, + 1.8371499183419637, + 1.9643998086137733, + 2.086200950462406, + 2.2004713095086483, + 2.305214431859595, + 2.398567891891036, + 2.4788492713482224, + 2.544598525592109, + 2.59461567325194, + 2.6279928525251113, + 2.6441399183358394, + 2.6428029063717244, + 2.6240748589871523, + 2.588398689988863, + 2.5365619559664006, + 2.46968359644258, + 2.3891928989340174, + 2.2968011332787603, + 2.194466477685253, + 2.084353022505382, + 1.9687847827063572, + 1.8501957728350056, + 1.7310772958966627, + 1.6139236675854867, + 1.5011776379574078, + 1.395176782899849, + 1.2981021173398808, + 1.2119301315099906, + 1.1383893719644564 + ], + [ + 1.0953969429041863, + 1.0469699543687263, + 1.0143000265789595, + 0.9979463240064826, + 0.9981036947967393, + 1.0145993029273648, + 1.046897578203915, + 1.0941133547462742, + 1.1550328745784193, + 1.2281421468909777, + 1.3116619800173748, + 1.403588846358034, + 1.5017406041983274, + 1.6038059878842315, + 1.7073966918479904, + 1.8101008165650259, + 1.909536417021125, + 2.0034038972882113, + 2.0895360282115027, + 2.1659444281182534, + 2.2308614372635818, + 2.2827764331443374, + 2.32046577292424, + 2.3430157075565394, + 2.349837785831188, + 2.340676451210208, + 2.3156087253830373, + 2.275036065259876, + 2.2196686698792085, + 2.150502695774532, + 2.0687910092638178, + 1.9760082577421443, + 1.87381117563488, + 1.7639951509714913, + 1.6484481629182541, + 1.5291032570603238, + 1.4078907524453255, + 1.2866913718164026, + 1.1672914542385286, + 1.0513413483607768, + 0.9403179964748084, + 0.8354926066137295, + 0.7379041750871757, + 0.6483394685099522, + 0.5673199064496977, + 0.49509560754615395, + 0.4316466778442791, + 0.37669163477545087, + 0.3297026783772757, + 0.28992734752953575, + 0.25641593755916137, + 0.2280539105708303, + 0.2035984049133095, + 0.18171784840827898, + 0.161033603875162, + 0.1401625269611321, + 0.11775929651329317, + 0.09255738716916813, + 0.06340759221575512, + 0.029313071072240654, + -0.01054001171993815, + -0.05675707272987682, + -0.10971560054582644, + -0.16955207613607437, + -0.23615567929226405, + -0.3091689604383338, + -0.38799547504176346, + -0.47181419573840183, + -0.5596003397021213, + -0.6501520802676478, + -0.7421224566356147, + -0.8340556576063433, + -0.9244267382240308, + -1.011683734966026, + -1.094291078086332, + -1.1707731606652303, + -1.2397569138731994, + -1.30001225724458, + -1.3504893409551224, + -1.3903515730614175, + -1.4190035265436776, + -1.436112946297375, + -1.4416262218526406, + -1.4357768539566766, + -1.419086618201026, + -1.3923593122541267, + -1.356667160394031, + -1.3133301352472637, + -1.2638886372604214, + -1.2100701429243852, + -1.1537505888416664, + -1.0969113964306323, + -1.0415931578995135, + -0.9898470951379541, + -0.943685467014897, + -0.9050321355588749, + -0.8756745066638167, + -0.8572180360807514, + -0.8510444370392268, + -0.8582746431400361, + -0.8797374711248184, + -0.915944795365442, + -0.9670738926263606, + -1.0329574455495107, + -1.1130815105297596, + -1.2065915646458136, + -1.312306551755032, + -1.4287406545142196, + -1.5541323316946765, + -1.6864799833224562, + -1.8235834442447336, + -1.9630903636924397, + -2.102546407809822, + -2.239448126940343, + -2.3712972620604336, + -2.49565522682617, + -2.6101964942074725, + -2.7127596398512925, + -2.80139484760811, + -2.8744067648055864, + -2.9303917038827816, + -2.9682683202709783, + -2.987301050693062, + -2.9871157676057445, + -2.967707290159108, + -2.929438585306144, + -2.8730316898612616, + -2.7995505805867125, + -2.7103764100083594, + -2.607175705997029, + -2.4918622988223658, + -2.36655388637956, + -2.233524273051696, + -2.095152417196468, + -1.9538694941516372, + -1.8121052242342643, + -1.6722347274810123, + -1.5365271486017078, + -1.4070972473070984, + -1.285861072071771, + -1.1744967314572254, + -1.0744111489560773, + -0.9867135381273141, + -0.9121961682841535, + -0.8513228113014188, + -0.8042250716751596, + -0.7707066094468508, + -0.7502550737424052, + -0.7420613781905302, + -0.74504577295138, + -0.757890005823963, + -0.7790747208667343, + -0.8069211206571988, + -0.8396358206844606, + -0.8753577537464968, + -0.9122059402696591, + -0.9483269281240341, + -0.9819407229802546, + -1.011384077004557, + -1.0351500784565977, + -1.0519230855799169, + -1.0606081724561633, + -1.0603543990488726, + -1.0505713788099866, + -1.0309387908750027, + -1.0014086656386727, + -0.962200457797043, + -0.9137891050971999, + -0.856886449425241, + -0.7924165650094126, + -0.7214856922073066, + -0.6453476107404711, + -0.5653653999592447, + -0.48297062293574705, + -0.3996210336842945, + -0.31675794106004784, + -0.23576436806485024, + -0.1579251213023703, + -0.0843898328149959, + -0.016139956862524608, + 0.04603940058939469, + 0.10158206914032047, + 0.15015721389771375, + 0.1916791059295956, + 0.22630999436291155, + 0.2544559915328999, + 0.27675606525536356, + 0.29406441272020156, + 0.3074266641086624, + 0.3180505264054147, + 0.32727162487697925, + 0.33651542757137565, + 0.34725624368937963, + 0.3609743670748607, + 0.37911248928868385, + 0.4030325313670145, + 0.4339740387369719, + 0.4730152499216307, + 0.5210378873975651, + 0.5786966297720664, + 0.6463941105027472, + 0.7242621524933894, + 0.8121497934258055, + 0.9096184874595532, + 1.0159446891581394, + 1.1301298396633324, + 1.2509175878798704, + 1.376817895439626, + 1.5061374981034001, + 1.6370160324594487, + 1.7674669894245514, + 1.8954225288769717, + 2.01878108599129, + 2.135456622164384, + 2.2434283238422794, + 2.340789532406062, + 2.4257946981513445, + 2.4969031911570743, + 2.552818870600389, + 2.592524410230313, + 2.6153094989778847, + 2.620792179141205, + 2.608932746774201, + 2.5800398158908378, + 2.5347683355625437, + 2.474109542359351, + 2.3993730251346324, + 2.31216127011071, + 2.214337236901636, + 2.1079856860177095, + 1.995369131349969, + 1.8788794233582216, + 1.7609860769135257, + 1.644182539291164, + 1.5309316466393212, + 1.4236115400330136, + 1.3244633043658138, + 1.2355415549898174, + 1.1586691290904627, + 1.0953969429041885 + ], + [ + 1.0600578650444965, + 1.0230745448539935, + 1.0022608494943799, + 0.9979463240064826, + 1.0100929360571287, + 1.0382967607116085, + 1.081797932464968, + 1.139498619116672, + 1.2099885821478136, + 1.2915777090223046, + 1.382334738632707, + 1.4801312559259918, + 1.5826899090843798, + 1.6876357054566278, + 1.7925491730638363, + 1.8950201345851871, + 1.9927008311831287, + 2.0833571545290446, + 2.1649167963636025, + 2.235513204561267, + 2.2935243409538613, + 2.3376053664406884, + 2.3667145299244616, + 2.3801317056109523, + 2.3774692040327077, + 2.358674671332304, + 2.324026084200897, + 2.274119039663772, + 2.2098467249235556, + 2.1323731281530627, + 2.043100212178518, + 1.943629915485856, + 1.835721965461925, + 1.7212485843447078, + 1.602147236722724, + 1.48037260699248, + 1.357849005072228, + 1.236424378736338, + 1.1178270617750141, + 1.003626310121798, + 0.8951975751404466, + 0.7936933370778639, + 0.7000201754982582, + 0.6148225910354569, + 0.5384739181534327, + 0.4710744862035122, + 0.4124570005092484, + 0.36219893116546975, + 0.3196415193289854, + 0.2839148434653184, + 0.25396823548612313, + 0.2286052027755294, + 0.20652190009827964, + 0.186348108090527, + 0.16668961461351722, + 0.14617086318121708, + 0.12347672972092247, + 0.0973923151236475, + 0.06683969568778746, + 0.030910655238893414, + -0.011105470675584513, + -0.05969957928787473, + -0.1151268068166264, + -0.17739718644993588, + -0.24627321420184897, + -0.3212743981464242, + -0.401688683905452, + -0.4865904692396139, + -0.5748647477407565, + -0.6652367603391813, + -0.7563063877292941, + -0.8465863905930934, + -0.9345435008916296, + -1.0186412891615781, + -1.0973836817255853, + -1.1693579793446967, + -1.233276235733504, + -1.2880138904131353, + -1.3326446147501203, + -1.3664704211641987, + -1.389046201154117, + -1.4001979951371677, + -1.4000344527259894, + -1.388951112110913, + -1.367627307445139, + -1.3370156990465982, + -1.2983246081868105, + -1.252993521549062, + -1.2026623055031809, + -1.1491348327544042, + -1.0943378695780697, + -1.040276197057065, + -0.9889850413029644, + -0.9424809629538883, + -0.9027124033381131, + -0.8715111023056031, + -0.8505455903215532, + -0.8412779151931704, + -0.8449246927086169, + -0.8624234721686872, + -0.894405284627701, + -0.9411740965910723, + -1.0026937284515571, + -1.0785826190545709, + -1.1681166297997627, + -1.2702398882030073, + -1.3835834765962478, + -1.506491581396055, + -1.637054536798246, + -1.773148028323562, + -1.912477570499508, + -2.052627242848555, + -2.1911115624846995, + -2.3254292926279834, + -2.4531179362046402, + -2.5718076436756405, + -2.6792732748597623, + -2.773483395567799, + -2.852645060375935, + -2.9152433311490906, + -2.9600746046094573, + -2.986272968337305, + -2.9933289695474605, + -2.981100360799808, + -2.9498145771051725, + -2.9000628950525544, + -2.832786421839757, + -2.749254255641731, + -2.6510343438960726, + -2.5399577383283347, + -2.418077100703816, + -2.2876204476221256, + -2.150941232923398, + -2.010465949800887, + -1.8686404895214985, + -1.727876518457636, + -1.5904991293816473, + -1.4586969868694406, + -1.3344761211474507, + -1.2196184314645186, + -1.1156458414206925, + -1.0237909076040153, + -0.9449745228849658, + -0.8797911807663473, + -0.8285020816145653, + -0.7910361699899635, + -0.7669989993724101, + -0.7556891310893706, + -0.7561215928481874, + -0.7670577533939269, + -0.7870408175810788, + -0.8144360142631737, + -0.8474744410588915, + -0.8842994478461099, + -0.9230143867127044, + -0.9617305312999597, + -0.9986139735260735, + -1.0319303403450208, + -1.0600862365171548, + -1.081666409668257, + -1.0954657488514974, + -1.1005153644517756, + -1.0961021520993153, + -1.081781412358416, + -1.0573822770476944, + -1.0230058776101232, + -0.9790163763360249, + -0.9260251627896193, + -0.8648686909442362, + -0.7965805929551341, + -0.7223588491812014, + -0.643528917422177, + -0.5615038242972724, + -0.4777422957760143, + -0.3937060502583514, + -0.31081739516189605, + -0.2304182563095226, + -0.15373172885556555, + -0.08182717010533669, + -0.015589760132507957, + 0.04430466200092276, + 0.09740881735552519, + 0.14351674833552702, + 0.1826697777924955, + 0.21515549963285222, + 0.24149981674001242, + 0.2624522239275115, + 0.2789647106417781, + 0.2921648257350254, + 0.3033236005669663, + 0.3138191630473154, + 0.32509699051769936, + 0.3386278406374805, + 0.35586446433070196, + 0.3781982416796556, + 0.4069168894271499, + 0.4431643672165371, + 0.48790405933449693, + 0.541886230730124, + 0.6056206523646882, + 0.6793551640479991, + 0.7630607959743873, + 0.8564239068271146, + 0.9588456206353406, + 1.0694486609213374, + 1.1870914936536778, + 1.3103895048050658, + 1.4377427585599336, + 1.5673697129454947, + 1.697346115138776, + 1.8256481628408157, + 1.9501989043606582, + 2.0689167613272694, + 2.1797649965408845, + 2.280800917008329, + 2.3702235995839596, + 2.4464189540263126, + 2.508000995102725, + 2.5538482803215725, + 2.5831345809365205, + 2.595352988390765, + 2.5903328131068144, + 2.5682488037280726, + 2.529622398417244, + 2.475314911136213, + 2.406512750294097, + 2.324704959990396, + 2.2316535605649, + 2.1293573407109703, + 2.020009913690933, + 1.905952991257186, + 1.789625947242474, + 1.6735128355029096, + 1.560088091669142, + 1.451762183357966, + 1.3508284782181355, + 1.2594125732732515, + 1.1794252730780284, + 1.1125203195531974, + 1.060057865044497 + ], + [ + 1.0326711229751988, + 1.0074385197614222, + 0.9986396131772894, + 1.0063715528524144, + 1.0303637679359836, + 1.0699846902154502, + 1.1242566239651834, + 1.1918784031171894, + 1.271255292142806, + 1.360535416118402, + 1.4576518519644786, + 1.5603693805114678, + 1.6663347910517778, + 1.7731295489820147, + 1.8783235849552984, + 1.9795289418749742, + 2.0744520245523996, + 2.1609432356573324, + 2.2370428497002086, + 2.301022072474935, + 2.3514183542571256, + 2.3870641680803537, + 2.4071086260465453, + 2.4110314828596557, + 2.398649262245955, + 2.3701134340374796, + 2.325900762715787, + 2.2667961373963124, + 2.1938683739394564, + 2.108439647682042, + 2.0120493660992267, + 1.9064134208684531, + 1.7933798651689836, + 1.6748821420640425, + 1.5528910415879127, + 1.4293665865109852, + 1.3062110392290411, + 1.1852241851080658, + 1.0680619819367836, + 0.9561995726276242, + 0.8508995413585709, + 0.7531861549621746, + 0.6638261750702599, + 0.5833166562793566, + 0.511879965717798, + 0.44946607440816266, + 0.395761985384134, + 0.35020798229693917, + 0.3120202097774058, + 0.28021893742200105, + 0.2536617169268646, + 0.2310805201505266, + 0.21112184776929588, + 0.19238872612725158, + 0.1734834656458682, + 0.153050038815658, + 0.12981494968531415, + 0.10262550949858096, + 0.0704845035860058, + 0.03258033098155308, + -0.01168818196454843, + -0.06269295252168632, + -0.12056429861090773, + -0.18518541366019764, + -0.2561938126803517, + -0.3329897206474848, + -0.4147511926138586, + -0.5004555785645707, + -0.5889067793759338, + -0.6787675875511658, + -0.7685962715992186, + -0.8568864494252407, + -0.942109206823901, + -1.022756354410564, + -1.097383681725585, + -1.1646530617329172, + -1.223372282704243, + -1.2725315369965575, + -1.311335576233603, + -1.3392306479367144, + -1.3559254571205732, + -1.3614055445967104, + -1.3559406380330223, + -1.3400847081121774, + -1.3146686460182644, + -1.2807856653627958, + -1.2397697168577237, + -1.1931673829053782, + -1.1427038873031827, + -1.0902440082142344, + -1.0377488165603295, + -0.9872292736418737, + -0.9406978082187432, + -0.9001190522582241, + -0.867360944508868, + -0.8441474111488202, + -0.8320138028792222, + -0.8322662086273266, + -0.8459456788575264, + -0.8737982784255773, + -0.9162517526612272, + -0.9733994342164153, + -1.044991845957987, + -1.1304362710093412, + -1.2288043694510054, + -1.338847726864062, + -1.4590210276069413, + -1.5875123601787287, + -1.7222799878051613, + -1.8610947587812243, + -2.001587192033033, + -2.1412981572637304, + -2.277731978806535, + -2.408410730173389, + -2.5309284538252714, + -2.6430040387369123, + -2.7425315169754776, + -2.827626599100003, + -2.8966683553213812, + -2.948335062947549, + -2.9816333779312316, + -2.9959201460125806, + -2.990916343180437, + -2.966712821731936, + -2.9237677325561395, + -2.862895691678641, + -2.78524895478117, + -2.692291052597157, + -2.5857635181856824, + -2.467646499780552, + -2.3401141962557577, + -2.2054861727780435, + -2.0661757090272266, + -1.9246363991839242, + -1.7833082601287151, + -1.644564611109965, + -1.510660964409766, + -1.3836871129083637, + -1.265523518288579, + -1.157802995005044, + -1.0618785527840977, + -0.9787981076155762, + -0.9092866017400345, + -0.853735891219529, + -0.8122025698010505, + -0.7844137046205034, + -0.7697802676047629, + -0.7674178609166709, + -0.7761741599972517, + -0.7946623379611861, + -0.8212995941857806, + -0.8543497913151439, + -0.8919691114355206, + -0.9322535760908947, + -0.9732872376427113, + -1.0131898420558467, + -1.0501627855971314, + -1.0825322395032235, + -1.1087883960297529, + -1.1276198943628415, + -1.1379426129515895, + -1.13892216263308, + -1.1299895787118117, + -1.110849885775219, + -1.0814833920401543, + -1.042139755821478, + -0.9933250506214207, + -0.9357822327416456, + -0.8704655817748234, + -0.798509835676605, + -0.7211948745759041, + -0.6399069177540299, + -0.5560972835765782, + -0.47123982048992313, + -0.38678814707281656, + -0.30413383985516507, + -0.22456667920727555, + -0.14923800682286678, + -0.07912816464032671, + -0.015018876617839197, + 0.04252869563039385, + 0.09318964139492211, + 0.13688431561727776, + 0.17378043644031296, + 0.20428820307686507, + 0.22904855407912916, + 0.24891486569665014, + 0.26492856209145715, + 0.278289269360393, + 0.2903202895201561, + 0.30243029516302866, + 0.3160722472058494, + 0.3327006144189386, + 0.35372802226094435, + 0.38048247867357043, + 0.414166315341173, + 0.4558179446642365, + 0.5062774662346632, + 0.5661570635465747, + 0.6358170143115275, + 0.7153479989682054, + 0.8045602352229068, + 0.9029797956247373, + 1.0098522845244597, + 1.1241538647998504, + 1.2446094381059658, + 1.3697175998051327, + 1.497781815738285, + 1.6269471069996468, + 1.7552413849405772, + 1.8806204554086952, + 2.001015611869839, + 2.114382664121706, + 2.2187512046949016, + 2.312272899957312, + 2.393267607865896, + 2.4602661689786567, + 2.5120487907419786, + 2.5476780454836057, + 2.5665256275753348, + 2.5682921618737473, + 2.5530195202523442, + 2.5210952818012036, + 2.47324916073234, + 2.4105414195835135, + 2.334343479219407, + 2.246311126628676, + 2.148350901949518, + 2.0425804130823977, + 1.9312834755482986, + 1.8168611032334818, + 1.7017794791547336, + 1.5885161118076052, + 1.479505430110651, + 1.3770850872253906, + 1.2834442301504552, + 1.200574948242997, + 1.1302280407423944, + 1.0738741427094665, + 1.032671122975199 + ], + [ + 1.0134684209268408, + 1.0001941669386758, + 1.0034669549255584, + 1.0231507292957807, + 1.058744690022952, + 1.109394997216336, + 1.1739144329616913, + 1.250809550073059, + 1.3383146604733351, + 1.4344318547735178, + 1.5369761031525204, + 1.6436243692723036, + 1.7519675765493363, + 1.859564201857762, + 1.963994237184411, + 2.062912255684044, + 2.1540983450401967, + 2.235505727318627, + 2.305303969172682, + 2.361916797193608, + 2.4040536676234914, + 2.430734394221099, + 2.4413063089587625, + 2.4354536132048166, + 2.4131987675943614, + 2.374895962217149, + 2.32121690029917, + 2.2531293135243313, + 2.171868801006523, + 2.0789047424362788, + 1.9759011752344429, + 1.8646736422750547, + 1.747143108084554, + 1.6252881052122448, + 1.501096307213343, + 1.3765167296296006, + 1.2534137354732444, + 1.1335239677380327, + 1.0184172498182238, + 0.9094623875382998, + 0.8077986765400648, + 0.714313769357069, + 0.6296283914247728, + 0.5540882187062858, + 0.48776304601429954, + 0.4304531891018115, + 0.3817028798514745, + 0.34082023702325276, + 0.3069032294500252, + 0.2788708984371266, + 0.2554989751670982, + 0.2354589203907353, + 0.21735933028756105, + 0.19978859615645111, + 0.18135767791822835, + 0.16074185292572504, + 0.13672033219749213, + 0.10821269510150908, + 0.0743111791862968, + 0.034307972087899846, + -0.012283215585645395, + -0.06571186713923671, + -0.12598207228759767, + -0.1928508658404477, + -0.26583354197552195, + -0.3442158110119126, + -0.4270724864324575, + -0.5132922186143495, + -0.6016076326659282, + -0.6906300849826189, + -0.7788881302666133, + -0.8648686909442356, + -0.9470598467251371, + -1.0239941153988887, + -1.0942910780863326, + -1.1566982135618875, + -1.2101288467096343, + -1.2536961847105956, + -1.286742509513871, + -1.3088627141866072, + -1.3199215109248779, + -1.3200637963613597, + -1.3097178313987217, + -1.2895910738506002, + -1.2606586881601405, + -1.224144942732065, + -1.1814978872838051, + -1.1343578755207744, + -1.0845206580098918, + -1.0338959123278877, + -0.9844621987838139, + -0.938219427161158, + -0.897139990488964, + -0.8631197639844294, + -0.837930179865574, + -0.8231725712979239, + -0.8202359316443144, + -0.8302591594986097, + -0.854098757481134, + -0.892302825902613, + -0.9450920442201936, + -1.0123481673030275, + -1.0936103839314293, + -1.1880796960542384, + -1.294631283744522, + -1.411834627268504, + -1.5379809689696802, + -1.6711175184114182, + -1.809087638834947, + -1.9495761055594216, + -2.0901584011245706, + -2.2283529108779665, + -2.3616748088570607, + -2.487690379065397, + -2.604070502733607, + -2.7086420582910335, + -2.799436027201641, + -2.8747311744459445, + -2.933092275448443, + -2.973401989175769, + -2.9948856268703468, + -2.9971282338082763, + -2.980083583502783, + -2.9440748754930817, + -2.8897871246032274, + -2.8182514265433003, + -2.730821477167765, + -2.629142905926892, + -2.5151161535980835, + -2.3908537761530018, + -2.258633186928439, + -2.120845954978679, + -1.97994485605218, + -1.8383899221821127, + -1.698594755247224, + -1.5628743586264804, + -1.4333956995682122, + -1.3121321441945428, + -1.2008228089520767, + -1.100937749257598, + -1.0136497611392823, + -0.939813408438135, + -0.8799517106543734, + -0.8342507391834175, + -0.8025621771064301, + -0.7844137046205029, + -0.7790268833561247, + -0.7853420328626556, + -0.802049425845751, + -0.8276259793765, + -0.8603764908857191, + -0.898478363407595, + -0.9400286867416313, + -0.9830924917943739, + -1.0257509754689247, + -1.0661485034827216, + -1.1025372380609828, + -1.133318305490364, + -1.1570785132348957, + -1.1726217452656467, + -1.1789943043889064, + -1.1755036281081885, + -1.1617299759229849, + -1.1375308666216561, + -1.1030382295136674, + -1.05864841900489, + -1.0050054227940277, + -0.9429777657263607, + -0.8736297696879536, + -0.7981879709074096, + -0.7180036161432806, + -0.6345122554921963, + -0.5491915195781469, + -0.4635182109607978, + -0.3789258527190266, + -0.29676382104209303, + -0.218259143748263, + -0.14448197412610309, + -0.07631565122751387, + -0.01443213625138016, + 0.040726526956936564, + 0.08896023739633686, + 0.13031602912497245, + 0.16508628972336029, + 0.19380004694132155, + 0.21720754686662164, + 0.23625852273913692, + 0.252074719237404, + 0.2659173884704551, + 0.2791506071605056, + 0.2932013761999416, + 0.3095175510479865, + 0.3295247120496625, + 0.3545831161322485, + 0.3859458745918306, + 0.42471947568544777, + 0.47182771608905305, + 0.5279800232856927, + 0.5936450436186123, + 0.6690302407265032, + 0.7540680995929965, + 0.8484093662041948, + 0.9514235759326656, + 1.0622069396696299, + 1.1795974700144796, + 1.3021970451829632, + 1.4283999303501014, + 1.5564271093829682, + 1.6843656285530797, + 1.810212021684421, + 1.9319187766578199, + 2.047442719064164, + 2.154794132263404, + 2.252085405663995, + 2.337578005472247, + 2.4097265945142743, + 2.4672191893039437, + 2.5090123318920794, + 2.53436036906528, + 2.5428380694078276, + 2.5343559662643305, + 2.5091679879198026, + 2.4678711211263082, + 2.4113970459361207, + 2.3409958739533203, + 2.25821231382554, + 2.1648547723533254, + 2.0629580724513343, + 1.9547406260906637, + 1.8425570374056641, + 1.7288472249660771, + 1.6160832399660021, + 1.5067150165715302, + 1.4031163203965453, + 1.3075321602666472, + 1.2220288970603443, + 1.1484482222071346, + 1.0883660888304765, + 1.0430575627029601, + 1.0134684209268414 + ], + [ + 1.0026122224480716, + 1.0014027768887426, + 1.0167020332436, + 1.0481418939112097, + 1.0949955868746681, + 1.156194252683676, + 1.230351231919973, + 1.3157934758143923, + 1.4105993345386236, + 1.512641827678118, + 1.6196363731371575, + 1.7291918473302799, + 1.8388637734624786, + 1.9462083878084346, + 2.0488363172669137, + 2.144464615446202, + 2.230965948734831, + 2.3064137970935694, + 2.369122634821785, + 2.4176821817909953, + 2.4509849624841324, + 2.468246574988775, + 2.469018250789056, + 2.4531914743725785, + 2.4209946246789547, + 2.372981793518796, + 2.310014124546562, + 2.2332341955620922, + 2.144034132466685, + 2.0440182910788467, + 1.934961469636126, + 1.8187637171200168, + 1.6974028780959354, + 1.5728860617826326, + 1.4472012404892027, + 1.3222701700523696, + 1.1999037828856582, + 1.0817611338597988, + 0.9693128823175495, + 0.8638101725884978, + 0.7662596335046515, + 0.677405058234722, + 0.5977161532861078, + 0.5273845641241284, + 0.466327199096657, + 0.41419668789757713, + 0.3703986303058926, + 0.33411511991742715, + 0.3043338703158733, + 0.2798821315305016, + 0.2594644661707429, + 0.24170336024887537, + 0.22518157572847847, + 0.2084851119292001, + 0.1902456320316529, + 0.16918122928346233, + 0.1441344545966838, + 0.1141066018140008, + 0.07828734708149244, + 0.036078961932407706, + -0.012885537285185213, + -0.06873078175678735, + -0.13133429102982153, + -0.20032868979658544, + -0.2751108456154954, + -0.35485769143536355, + -0.4385483216400944, + -0.5249917856054863, + -0.612859852644706, + -0.7007238905374304, + -0.7870948899500336, + -0.8704655817748228, + -0.9493535359415839, + -1.0223441001084979, + -1.0881320356340334, + -1.1455607364467437, + -1.1936579732109118, + -1.2316671891586828, + -1.2590734830638595, + -1.275623546375046, + -1.2813389722438173, + -1.276522520328536, + -1.2617570986832662, + -1.2378974083206518, + -1.2060543825540322, + -1.167572737298074, + -1.124002125511547, + -1.0770625544393237, + -1.028604874071335, + -0.9805672754843604, + -0.934928845147376, + -0.8936613030933527, + -0.8586801069617485, + -0.8317961288536655, + -0.8146691069946835, + -0.8087640393892762, + -0.8153116227370237, + -0.8352737483508492, + -0.8693149498449734, + -0.9177805577547403, + -0.9806821573876341, + -1.0576907719444983, + -1.1481380075404894, + -1.2510252047294486, + -1.3650404471983786, + -1.4885830872119707, + -1.6197952638507733, + -1.7565997186237192, + -1.8967430578789914, + -2.037843476426145, + -2.1774418452662987, + -2.313054981082962, + -2.4422298583094952, + -2.5625974975999397, + -2.6719252680987227, + -2.7681663749910337, + -2.849505367632166, + -2.9143985955831444, + -2.961608657910833, + -2.9902320322949514, + -2.99971923140407, + -2.9898870107549746, + -2.960922340563249, + -2.9133780493522057, + -2.8481602445661105, + -2.766507810331338, + -2.6699644700888663, + -2.5603440775266146, + -2.4396899588059844, + -2.310229268636679, + -2.174323438931327, + -2.0344158887667296, + -1.892978226034334, + -1.7524562030178639, + -1.6152166894616016, + -1.483496897508454, + -1.3593570339604768, + -1.2446374681422891, + -1.1409213904163218, + -1.0495037999330212, + -0.9713675038873386, + -0.9071666382675021, + -0.8572180360807509, + -0.8215005778613701, + -0.7996624656152278, + -0.7910361699899628, + -0.7946606160730979, + -0.8093100003218818, + -0.833528473935922, + -0.8656697903172856, + -0.9039408994523158, + -0.9464483828522182, + -0.9912465612229393, + -1.0363860747248241, + -1.0799617332292228, + -1.1201584613408453, + -1.1552942193500857, + -1.1838588652072337, + -1.2045480318895008, + -1.2162912263544752, + -1.2182735072777862, + -1.2099502651258798, + -1.1910548056097345, + -1.1615986217264906, + -1.1218644257895376, + -1.0723921963995724, + -1.0139586716198392, + -0.9475508842786995, + -0.8743344842220702, + -0.7956177217691406, + -0.7128120733737306, + -0.6273905719205223, + -0.5408449581902989, + -0.454642795499321, + -0.37018568576494154, + -0.28876969241681005, + -0.21154901453666056, + -0.1395038689540173, + -0.07341342500304673, + -0.013834503122134132, + 0.038913403143018985, + 0.0847563880314236, + 0.1238674595345195, + 0.15666089405700914, + 0.18377976577307065, + 0.20607697538162192, + 0.22459027344345306, + 0.2405119314065942, + 0.2551538547758779, + 0.2699090540551163, + 0.2862104869886155, + 0.30548835773963856, + 0.3291270031008081, + 0.3584225114635294, + 0.3945422066327529, + 0.438487085948105, + 0.4910582315802289, + 0.5528281170344147, + 0.624117610196381, + 0.7049793326849968, + 0.7951878763500508, + 0.8942372054281915, + 1.0013453914484447, + 1.1154666419975832, + 1.2353103985765914, + 1.3593670976701222, + 1.4859400173695174, + 1.613182473772464, + 1.7391394909312743, + 1.8617929489089704, + 1.9791091195776787, + 2.089087431608263, + 2.1898092664454962, + 2.279485577024074, + 2.3565021409097913, + 2.4194613090542716, + 2.4672191893039437, + 2.4989173083689096, + 2.514007924635412, + 2.5122723138948393, + 2.4938315171336654, + 2.4591492199157563, + 2.4090266221869023, + 2.3445893509081626, + 2.267266661031367, + 2.1787633582214747, + 2.0810250547809357, + 1.976197534048579, + 1.8665811440816549, + 1.7545812650788877, + 1.6426559936918474, + 1.533262258637787, + 1.4288016240757813, + 1.3315670489614733, + 1.2436918517168494, + 1.1671020804564871, + 1.1034734108555408, + 1.0541935883981988, + 1.020331301745189, + 1.0026122224480716 + ], + [ + 1.000194375890509, + 1.0110541242245423, + 1.0382328733799016, + 1.0811336101374207, + 1.1388097595000446, + 1.2099865137393062, + 1.2930895399828917, + 1.3862803869238496, + 1.4874977532868823, + 1.5945036430710051, + 1.704933318630112, + 1.8163478751012911, + 1.9262882006443318, + 2.032329057813928, + 2.1321320228138188, + 2.223496051294987, + 2.30440450092605, + 2.373067530625589, + 2.4279589118578424, + 2.4678464258792716, + 2.49181517884787, + 2.4992833403596277, + 2.490009995969737, + 2.4640949960309855, + 2.4219708770211317, + 2.3643871226757778, + 2.2923872160101455, + 2.207279105210201, + 2.110599862211125, + 2.0040754487745307, + 1.8895766177390656, + 1.769072064144639, + 1.6445800000565485, + 1.5181193567748215, + 1.3916618180677802, + 1.2670858582201694, + 1.1461338998787096, + 1.030373620470929, + 0.921164324603802, + 0.8196291661745565, + 0.7266338513530471, + 0.6427722859926102, + 0.5683594526293744, + 0.5034316175341939, + 0.4477537819296272, + 0.4008341081518001, + 0.36194487581377666, + 0.3301493593042797, + 0.30433387031587317, + 0.28324408121256794, + 0.2655246400895026, + 0.24976100893810488, + 0.23452240435601074, + 0.2184046969868419, + 0.20007213187249615, + 0.17829676694602106, + 0.1519945900524617, + 0.12025736451824522, + 0.082379367091962, + 0.03787831713960988, + -0.013490051149036031, + -0.07172415499059895, + -0.1365756726451128, + -0.20755561975418713, + -0.28394723341345013, + -0.3648253267939467, + -0.449081607478038, + -0.5354552959071188, + -0.6225682404395576, + -0.7089636060531064, + -0.7931471177489559, + -0.8736297696879529, + -0.9489708688245636, + -1.0178202684153883, + -1.078958662654834, + -1.1313348584836462, + -1.1740990132510338, + -1.2066309256114225, + -1.2285625893677161, + -1.2397943629026158, + -1.2405042668134318, + -1.2311500953961343, + -1.2124642093879132, + -1.1854410633243786, + -1.1513177063340974, + -1.1115476755180163, + -1.0677688717026785, + -1.02176616400381, + -0.9754296083218195, + -0.9307092820828382, + -0.889567830236884, + -0.8539318833308529, + -0.8256435456550423, + -0.8064131589932493, + -0.7977745250984426, + -0.801043718122759, + -0.8172825380389821, + -0.8472675494932272, + -0.8914655200762409, + -0.9500159208416802, + -1.0227209837014384, + -1.1090436291877939, + -1.2081133884154036, + -1.3187402495483984, + -1.439436166429238, + -1.5684437799942585, + -1.7037717262941174, + -1.8432357427206894, + -1.9845046404276416, + -2.12515008948242, + -2.262699067024548, + -2.394687750036659, + -2.5187155949938886, + -2.6324983376583484, + -2.733918667901, + -2.8210733861825705, + -2.892315928990364, + -2.9462932581790584, + -2.981976241209109, + -2.9986828025246224, + -2.9960932970508116, + -2.9742577408763964, + -2.9335947271476672, + -2.874882052348939, + -2.799239274686289, + -2.708102617450159, + -2.6031928113624705, + -2.486476636616431, + -2.360123073548069, + -2.2264550970481767, + -2.0878982508830917, + -1.9469272116124199, + -1.8060115960164875, + -1.6675622798407594, + -1.5338794789374184, + -1.4071037969956541, + -1.2891713682004786, + -1.1817741202526946, + -1.0863260557878416, + -1.0039363015167273, + -0.9353895080575576, + -0.8811340035521613, + -0.8412779151931706, + -0.8155932793876852, + -0.803527968198794, + -0.8042250716751572, + -0.8165491973025523, + -0.8391189834440153, + -0.8703449772764834, + -0.908471902927955, + -0.9516242452759774, + -0.9978540015778304, + -1.0451894084849687, + -1.0916834370550326, + -1.135460863382306, + -1.1747627669469536, + -1.2079873815299158, + -1.2337263226487643, + -1.2507953383855477, + -1.2582588740586396, + -1.2554479017877467, + -1.2419706395497028, + -1.2177159664432742, + -1.1828495269907469, + -1.1378027027283153, + -1.083254809429636, + -1.020109048562395, + -0.949462897746348, + -0.8725737631733278, + -0.7908208337325588, + -0.7056641690682858, + -0.6186021197046243, + -0.5311282150992377, + -0.4446886641364699, + -0.3606415919779654, + -0.28021908792487055, + -0.20449306230196646, + -0.13434580832898474, + -0.07044604011405732, + -0.013231033476806616, + 0.037104664036554734, + 0.08061365976807403, + 0.11759316466266513, + 0.1485755321011319, + 0.17431213568502724, + 0.1957510092955368, + 0.21400883647858301, + 0.23033802501629752, + 0.24608973264227466, + 0.26267381792511035, + 0.2815167736151915, + 0.30401875607942624, + 0.3315108523700484, + 0.3652137252329373, + 0.40619874593738653, + 0.4553526659164051, + 0.513346792274801, + 0.5806115213638242, + 0.6573169515776326, + 0.7433601446018815, + 0.8383594373210833, + 0.9416560286377285, + 1.0523228810229213, + 1.1691807903263227, + 1.2908212939001626, + 1.4156359110536445, + 1.5418510456899968, + 1.6675677328419298, + 1.7908052824730558, + 1.9095477686292566, + 2.0217922325132847, + 2.1255974163895663, + 2.2191318227882633, + 2.3007199009267065, + 2.3688851995208693, + 2.422389391395871, + 2.4602661689786567, + 2.481849128639527, + 2.4867929030834657, + 2.475086961159172, + 2.4470616696589285, + 2.4033863976512815, + 2.3450596360714537, + 2.27339129897923, + 2.1899775633218397, + 2.096668786522683, + 1.9955312112555488, + 1.8888033201557504, + 1.7788478361658084, + 1.6681004734113445, + 1.5590166262293506, + 1.4540172381490668, + 1.3554351168771026, + 1.2654629550181902, + 1.1861042794744134, + 1.1191284860620332, + 1.0660310214435842, + 1.0279996542624512, + 1.0058876342876122, + 1.000194375890509 + ], + [ + 1.0062353373301178, + 1.02906655418033, + 1.0678773146840943, + 1.1218467531262195, + 1.1898165201725328, + 1.2703166735134226, + 1.3615985626748295, + 1.4616739322377559, + 1.5683593212985718, + 1.679324712951064, + 1.7921452888752087, + 1.9043550731518453, + 2.0135012078809367, + 2.117197592035955, + 2.2131766344644666, + 2.2993379215209875, + 2.373792678230994, + 2.434903007167849, + 2.4813150187534125, + 2.5119851172538734, + 2.526198874608385, + 2.5235821052543246, + 2.5041039448377065, + 2.4680719294529085, + 2.416119265084319, + 2.3491846644925602, + 2.268485306312404, + 2.1754836342778465, + 2.0718488592953825, + 1.9594141500435676, + 1.8401305959271905, + 1.716019097218819, + 1.5891213794172288, + 1.461451341295392, + 1.3349479285946335, + 1.2114306783822846, + 1.0925590039937847, + 0.9797961891878065, + 0.8743789352627086, + 0.7772931596028714, + 0.6892565821331234, + 0.6107084615554104, + 0.5418066604261855, + 0.48243203170346427, + 0.43219993402700996, + 0.3904785033357654, + 0.356413138963497, + 0.328956507313124, + 0.30690322945002496, + 0.2889283038677157, + 0.27362822510976464, + 0.25956369510438576, + 0.24530278853319604, + 0.2294634271511257, + 0.21075404080556298, + 0.18801134433994857, + 0.16023423826211858, + 0.12661294497851258, + 0.08655261887675698, + 0.039690814350235984, + -0.014091642716364051, + -0.07466666154859673, + -0.1416618726732542, + -0.21447051261558858, + -0.2922679455301043, + -0.3740343863821229, + -0.4585832275817331, + -0.5445942234873037, + -0.6306506586966437, + -0.7152795198078706, + -0.7969936090775371, + -0.8743344842220695, + -0.9459150829110452, + -1.0104608939827415, + -1.0668485700351364, + -1.114140937037446, + -1.1516174444817897, + -1.1787992121874635, + -1.1954679643924462, + -1.2016782948743816, + -1.1977628747195772, + -1.1843303928103375, + -1.1622562036613864, + -1.1326658432772114, + -1.0969117565497848, + -1.0565437547661787, + -1.013273884630258, + -0.9689365366992175, + -0.9254447475716664, + -0.8847437533084955, + -0.8487629287645723, + -0.8193672967426167, + -0.7983098108267113, + -0.7871856058141232, + -0.7873893699845781, + -0.8000769249097727, + -0.8261320027148852, + -0.8661390899408229, + -0.920363064327533, + -0.9887361894050506, + -1.0708528556682073, + -1.1659722706232045, + -1.2730291076948008, + -1.3906519305905167, + -1.5171890199879632, + -1.6507410480170552, + -1.7891998774276654, + -1.9302926107352234, + -2.071629883779971, + -2.2107572912750983, + -2.3452087517239177, + -2.472560567574459, + -2.5904849149676976, + -2.696801506503241, + -2.7895262099257763, + -2.8669154746102676, + -2.927505514555148, + -2.9701453189556295, + -2.994022706372131, + -2.998682802524622, + -2.9840385008559562, + -2.950372654868041, + -2.898331947231419, + -2.828912578037563, + -2.7434381085059343, + -2.64352998226019, + -2.5310714194359236, + -2.4081655351718334, + -2.277088669678045, + -2.1402400287873786, + -2.0000888189824595, + -1.859120117313546, + -1.7197807430414414, + -1.5844263936558152, + -1.4552712732812105, + -1.3343413772866923, + -1.2234325047799244, + -1.1240739528948942, + -1.0374987063022592, + -0.9646207756648462, + -0.906020163774888, + -0.8619357521617036, + -0.8322662086273268, + -0.8165788221805333, + -0.8141259809561116, + -0.823868825599783, + -0.8445074397425905, + -0.8745167847431243, + -0.9121874515895189, + -0.9556701919676474, + -1.0030231056740757, + -1.0522603047887058, + -1.1014008476304697, + -1.1485167380773438, + -1.1917788181734363, + -1.2294994431668884, + -1.2601709166045076, + -1.2824987765597184, + -1.2954291595829353, + -1.2981696230879893, + -1.2902029757196287, + -1.2712938445226476, + -1.241487892938639, + -1.201103790139746, + -1.1507182152949473, + -1.0911443554734581, + -1.0234045186496847, + -0.9486976296301742, + -0.8683625030385341, + -0.7838378906410703, + -0.696620377731833, + -0.6082212531270683, + -0.5201234983483899, + -0.4337400333278696, + -0.3503743187102872, + -0.27118434954946896, + -0.19715098359294098, + -0.12905143177794176, + -0.06743860197946325, + -0.012626832941670205, + 0.03531561238884828, + 0.07656710196200166, + 0.11154622788317609, + 0.14089860967654327, + 0.1654772571118867, + 0.18631701095400663, + 0.20460373558940437, + 0.2216390759183212, + 0.23880170864445685, + 0.2575061121421292, + 0.2791599470187384, + 0.305121179562397, + 0.33665609141386155, + 0.3748993006989244, + 0.42081687290857, + 0.4751735251520551, + 0.5385048268636048, + 0.6110951761011607, + 0.6929621863114107, + 0.7838479574408276, + 0.8832175315649278, + 0.9902646511311904, + 1.1039247520267212, + 1.2228949386550627, + 1.3456605086917894, + 1.470527425710382, + 1.5956599827119236, + 1.719122762690031, + 1.8389258872029433, + 1.9530724534611485, + 2.0596069970148774, + 2.156663782415867, + 2.242513719196441, + 2.3156087253830373, + 2.3746224150262356, + 2.418486068637491, + 2.4464189540263126, + 2.457952197227881, + 2.4529455558067066, + 2.431596616111533, + 2.394442117913351, + 2.342351299835697, + 2.2765113524278897, + 2.1984052578861273, + 2.10978248156507, + 2.0126231559539547, + 1.9090965583797945, + 1.8015148253687086, + 1.6922829658278604, + 1.5838463290335467, + 1.478636749474564, + 1.3790186272319493, + 1.2872362088251121, + 1.2053633091138993, + 1.1352566604591785, + 1.0785139921938545, + 1.0364378335285642, + 1.010005898958913, + 0.9998487602927529, + 1.0062353373301178 + ], + [ + 1.0206839974995523, + 1.0552876734479617, + 1.1053845517684815, + 1.1699368712650133, + 1.247584328616021, + 1.3366743115546271, + 1.4352986826631262, + 1.541336248246787, + 1.6524999131180373, + 1.7663874126851375, + 1.8805344311403072, + 1.9924688607627232, + 2.099764933666735, + 2.2000959642715476, + 2.2912844781311876, + 2.3713485695832555, + 2.438543425271156, + 2.491397070607929, + 2.5287395387002456, + 2.5497248226127858, + 2.5538451481407427, + 2.54093729112654, + 2.511180856207957, + 2.465088627982015, + 2.4034892961533867, + 2.3275030386445636, + 2.2385106164251183, + 2.1381167868367315, + 2.028108974739154, + 1.9104122496826894, + 1.7870417399196095, + 1.6600536684494902, + 1.531496221203898, + 1.40336145239787, + 1.2775393972380333, + 1.1557754985444, + 1.0396323630929867, + 0.9304567479656352, + 0.8293525398587248, + 0.7371603346462999, + 0.654444054455888, + 0.5814848593869074, + 0.518282425313856, + 0.46456347263048847, + 0.41979724798025764, + 0.383217486552181, + 0.3538502207519465, + 0.330546656011577, + 0.3120202097774054, + 0.2968867084001422, + 0.2837066612353436, + 0.271028483586985, + 0.2574315213317159, + 0.2415677405607292, + 0.2222009850476607, + 0.19824277174459576, + 0.16878368807331742, + 0.13311957210817602, + 0.09077179483736009, + 0.04150111901771978, + -0.014685222250286387, + -0.07753340649380065, + -0.1465498595604758, + -0.2210148652581577, + -0.3000025849757858, + -0.3824069573886292, + -0.4669727939455703, + -0.5523312488833005, + -0.6370387265001732, + -0.7196181963133744, + -0.7986018208785804, + -0.8725737631733269, + -0.9402120315326158, + -1.000328240448412, + -1.0519042146383826, + -1.0941244404639159, + -1.1264034711479933, + -1.148407517776366, + -1.1600696036408285, + -1.1615978214735805, + -1.1534764074800683, + -1.1364595284411787, + -1.111557863951514, + -1.080018250421809, + -1.043296832155243, + -1.003026333101679, + -0.960978216544181, + -0.9190206350782224, + -0.8790731863612291, + -0.843059578334402, + -0.8128593686613251, + -0.7902599753718343, + -0.7769101582420592, + -0.7742761431167499, + -0.7836015047646893, + -0.8058718392583776, + -0.8417851462891464, + -0.8917287079219796, + -0.9557630962981961, + -1.033613772451684, + -1.1246705558711811, + -1.2279950541836824, + -1.342335949018879, + -1.4661518424937807, + -1.5976411835498792, + -1.7347786191529506, + -1.8753569564361476, + -2.0170337821702358, + -2.1573816689525964, + -2.2939408061393127, + -2.4242728300957936, + -2.5460145944221417, + -2.6569306173079594, + -2.7549629702286733, + -2.838277429204824, + -2.905304795462246, + -2.9547764045091713, + -2.9857529786855066, + -2.997646134853533, + -2.9902320322949514, + -2.9636568318501695, + -2.918433831365663, + -2.8554323398891848, + -2.775858548972179, + -2.681228849141249, + -2.5733362184745894, + -2.4542104739202264, + -2.326073320547222, + -2.1912892558261494, + -2.052313482344535, + -1.9116380507575301, + -1.7717374936210406, + -1.6350152191452694, + -1.503751911679574, + -1.3800571334834477, + -1.2658252413776763, + -1.1626966242305266, + -1.0720251355943586, + -0.9948524434308504, + -0.9318898495165632, + -0.8835079489817412, + -0.8497343099901994, + -0.83025915949861, + -0.8244488681019239, + -0.8313668399035982, + -0.8498012367167384, + -0.8782988040109209, + -0.9152039228025305, + -0.9587018906084043, + -1.0068653385536181, + -1.057702623029393, + -1.1092069905405468, + -1.1594053044483053, + -1.2064051423477467, + -1.2484391222209157, + -1.2839053929512012, + -1.3114033282538116, + -1.3297635899102218, + -1.338071873157299, + -1.3356858104459157, + -1.3222446854211176, + -1.2976717924617414, + -1.2621694638407592, + -1.2162069718471002, + -1.1605016924087839, + -1.0959940854014476, + -1.0238172007135529, + -0.9452615544447294, + -0.8617363329840464, + -0.7747279713530468, + -0.6857572139314413, + -0.5963357990164961, + -0.5079239128211588, + -0.42188953344447266, + -0.33947073173974546, + -0.2617419152655269, + -0.18958489571779105, + -0.12366553212224297, + -0.06441655488676443, + -0.012027013326656014, + 0.03356138438639433, + 0.07265095032333417, + 0.10577780901747691, + 0.1336950770208023, + 0.15734987712420606, + 0.17785479625193365, + 0.19645454218529634, + 0.2144886811583533, + 0.2333514427633145, + 0.25444965783551043, + 0.2791599470187383, + 0.30878630118703254, + 0.3445191891816896, + 0.38739729351027524, + 0.43827291157734927, + 0.4977819702168804, + 0.5663194869898782, + 0.6440211757333352, + 0.7307517395822146, + 0.8261002259842735, + 0.9293826393057621, + 1.0396518219666302, + 1.1557144292810397, + 1.2761546409830118, + 1.3993640783793067, + 1.5235772345876442, + 1.6469115804792707, + 1.7674113844353356, + 1.8830941830300993, + 1.991998764875824, + 2.0922334830633975, + 2.182023694172892, + 2.259757134245987, + 2.3240260842008964, + 2.3736652479865947, + 2.4077843646559405, + 2.4257946981513445, + 2.4274286929871987, + 2.412752246679196, + 2.382169226750631, + 2.3364180471153184, + 2.276560311015219, + 2.2039617207542874, + 2.1202656434680724, + 2.0273599024414097, + 1.9273375305809823, + 1.8224523724291288, + 1.7150705498518464, + 1.6076189110419206, + 1.5025316601323653, + 1.4021964135571428, + 1.3089009480720524, + 1.224781893542288, + 1.1517765814483518, + 1.091579188536824, + 1.0456022158483436, + 1.0149442188713127, + 1.0003645577997182, + 1.0022657713672294, + 1.0206839974995523 + ], + [ + 1.0434181141956862, + 1.0894956394932418, + 1.150437256435111, + 1.224997100393321, + 1.311624443030846, + 1.4084980122179176, + 1.5135663635829961, + 1.6245933557098975, + 1.7392076612644334, + 1.854955152437155, + 1.969352933285302, + 2.0799437554187934, + 2.1843495478467982, + 2.2803228167796514, + 2.3657947261123584, + 2.438918752813994, + 2.4981089214265286, + 2.5420717556052703, + 2.5698312387997513, + 2.5807462469712608, + 2.5745200994607793, + 2.551202065250484, + 2.5111808562079565, + 2.4551703316987084, + 2.3841878254806166, + 2.2995256814975105, + 2.2027167457884373, + 2.0954947033248987, + 1.979750267758308, + 1.857484325942562, + 1.7307592054611278, + 1.6016492706886871, + 1.4721920603307217, + 1.3443411568283024, + 1.219921926150913, + 1.1005911867121998, + 0.9878017605079146, + 0.8827727308035063, + 0.7864660820716449, + 0.6995702331642858, + 0.6224907980583391, + 0.5553487243852774, + 0.4979857729662739, + 0.44997711641063887, + 0.4106506561256052, + 0.3791124892886841, + 0.35427780462692865, + 0.3349063520220993, + 0.3196415193289848, + 0.3070519631062842, + 0.29567468033607264, + 0.2840583770874639, + 0.27080598818378054, + 0.25461522924694285, + 0.2343161182706999, + 0.2089044866543456, + 0.1775706072719854, + 0.13972219689743628, + 0.09500119883594568, + 0.043293915145402144, + -0.015265767799348254, + -0.08030013586675738, + -0.15119827872587246, + -0.22713330949718494, + -0.30708571320082, + -0.389872204074119, + -0.47417932704178933, + -0.5586009133592156, + -0.6416783979058946, + -0.7219429284031077, + -0.7979581469525248, + -0.8683625030385332, + -0.9319099650845973, + -0.9875080346463786, + -1.034252032473627, + -1.071454717381636, + -1.0986704148735014, + -1.1157129698652464, + -1.1226669932627633, + -1.1198920416418041, + -1.1080195486476057, + -1.0879425114630334, + -1.060798121153502, + -1.0279437072170354, + -0.9909265396718797, + -0.9514481921287096, + -0.9113243124605152, + -0.8724407702557411, + -0.836707249081719, + -0.8060094241431432, + -0.7821609102921617, + -0.766856180328516, + -0.7616256386454058, + -0.7677939907971475, + -0.7864429764925654, + -0.8183794335709564, + -0.8641095360839992, + -0.923819903689143, + -0.9973661156990605, + -1.084268985321668, + -1.183718762213856, + -1.2945872390546762, + -1.4154475451483333, + -1.544601221839389, + -1.6801119954062336, + -1.8198454975226994, + -1.9615140354446305, + -2.1027253874645595, + -2.241034497039832, + -2.373996863898343, + -2.4992223842602463, + -2.6144283762742484, + -2.717490541305851, + -2.8064906565331666, + -2.879759868362863, + -2.9359165577127313, + -2.9738978747832046, + -2.9929841895048286, + -2.9928158708087413, + -2.97340198917577, + -2.93512072817605, + -2.878711487268575, + -2.8052588552113744, + -2.7161688262459003, + -2.613137815076468, + -2.4981151970980235, + -2.373260253194416, + -2.2408945300254715, + -2.1034507338582467, + -1.9634193560897673, + -1.823294279731916, + -1.6855186370724298, + -1.552432179016971, + -1.4262213765351737, + -1.3088734052016056, + -1.2021350667823016, + -1.107477579585032, + -1.0260680248978085, + -0.958748073855161, + -0.9060204415180055, + -0.8680433272021605, + -0.8446329067596356, + -0.8352737483508494, + -0.8391368330021253, + -0.8551046795729803, + -0.8818029050934237, + -0.9176373998750665, + -0.9608361660231113, + -1.0094947611310163, + -1.0616242085796812, + -1.1152001838823398, + -1.1682122641032238, + -1.2187120349864804, + -1.2648588877713123, + -1.304962403713422, + -1.3375203173457428, + -1.361251167092344, + -1.375120880991758, + -1.3783627024557517, + -1.3704900322111024, + -1.3513019435291, + -1.3208813139912623, + -1.2795857037012845, + -1.228031292361297, + -1.1670703614263682, + -1.097762968303886, + -1.0213436032769982, + -0.9391837429409235, + -0.8527513134069017, + -0.7635681499079505, + -0.6731665849484993, + -0.5830463136929126, + -0.4946326725314803, + -0.40923742507770505, + -0.3280230803460405, + -0.2519716723398369, + -0.18185881120363417, + -0.11823367651012293, + -0.06140546672185701, + -0.01143664937712854, + 0.03185682159189086, + 0.06889833726701351, + 0.10033671149941076, + 0.1270258792798123, + 0.14999875703436247, + 0.17043595935489325, + 0.1896302021300097, + 0.2089473363116537, + 0.22978504671447547, + 0.2535303139917494, + 0.2815167736151913, + 0.31498311236590193, + 0.3550336203083243, + 0.40260196499239964, + 0.4584191759576389, + 0.5229867234351946, + 0.5965554480426759, + 0.6791109514042747, + 0.7703658946694057, + 0.869759476920972, + 0.9764641828421496, + 1.0893997033308305, + 1.2072537486812092, + 1.328509296128186, + 1.4514776464620158, + 1.5743365122970174, + 1.6951722272833145, + 1.812025054487028, + 1.9229364861854452, + 2.025997368664357, + 2.1193956558232205, + 2.201462595331686, + 2.2707161808428484, + 2.3259007627157864, + 2.366021796468225, + 2.3903748207094804, + 2.398567891891036, + 2.3905368585753997, + 2.366553029283833, + 2.327222971156608, + 2.2734803671599737, + 2.206570052726031, + 2.1280245437636878, + 2.039633552221621, + 1.9434071582668866, + 1.841533465386607, + 1.7363317024236353, + 1.630201851292517, + 1.5255719680223991, + 1.424844425602012, + 1.3303423383085944, + 1.2442574279636802, + 1.1686005627968226, + 1.1051561399858683, + 1.0554413948840937, + 1.0206716055461327, + 1.0017320231778009, + 0.9991572008938313, + 1.0131182185036414, + 1.0434181141956858 + ], + [ + 1.074245346503965, + 1.1314010374441459, + 1.202654262415922, + 1.2865616060576799, + 1.3813950550705756, + 1.4851801144950874, + 1.5957394254373274, + 1.7107408618236788, + 1.8277489789527386, + 1.9442786090514543, + 2.057849350591215, + 2.1660396799284247, + 2.2665394263101883, + 2.357199394084982, + 2.436076987993787, + 2.501476796887214, + 2.5519852156459435, + 2.5864983313942402, + 2.6042424646748814, + 2.6047869350418718, + 2.588048809124804, + 2.554289582992205, + 2.5041039448377065, + 2.4384009538776255, + 2.358378152241915, + 2.2654892941527622, + 2.161406526744858, + 2.0479779858555704, + 1.927181874896468, + 1.8010781730081848, + 1.6717591682614015, + 1.5413000315697574, + 1.4117106368341263, + 1.2848897929941965, + 1.1625829852108729, + 1.0463446271349706, + 0.9375057065900534, + 0.8371475660638754, + 0.7460824007406909, + 0.664840884425081, + 0.5936671519486131, + 0.5325211800793702, + 0.4810884222466395, + 0.4387963702179371, + 0.404837542769023, + 0.3781982416796558, + 0.357692273035377, + 0.34199871034365686, + 0.329702678377275, + 0.3193380653314972, + 0.3094310275547692, + 0.2985431368107144, + 0.2853130350478064, + 0.2684955055514254, + 0.2469969409654533, + 0.21990628613658061, + 0.18652065454557543, + 0.1463649581528544, + 0.09920504820085865, + 0.0450540348667934, + -0.015828367685504732, + -0.08294344188501242, + -0.15556780243987123, + -0.23277408052578058, + -0.31345740373527103, + -0.3963669670735703, + -0.48014185633940293, + -0.5633501727165269, + -0.6445304191942404, + -0.7222340477916379, + -0.7950680330720505, + -0.8617363329840453, + -0.9210791228058679, + -0.9721087413189357, + -1.0140413689896874, + -1.0463235639060493, + -1.0686529098637476, + -1.0809921791238846, + -1.0835765762669232, + -1.07691380514851, + -1.0617768838173758, + -1.039189817793738, + -1.0104064256604668, + -0.9768827878624028, + -0.940243955471932, + -0.9022457062592758, + -0.8647322668764565, + -0.8295910289658013, + -0.7987053707333261, + -0.7739067518045628, + -0.7569272765060967, + -0.749353918309066, + -0.7525855659888623, + -0.7677939907971472, + -0.7958897450316078, + -0.8374938879398731, + -0.8929162976598777, + -0.9621411712046909, + -1.0448201421604146, + -1.1402732619923772, + -1.2474979001509547, + -1.36518542521887, + -1.491745338896534, + -1.6253363513793282, + -1.7639037151702532, + -1.9052219788420928, + -2.0469421865781783, + -2.18664243686151, + -2.3218806272627233, + -2.4502481540777676, + -2.5694233070739836, + -2.677223101578721, + -2.771652322600673, + -2.85094861787404, + -2.913622567193599, + -2.9584917720011035, + -2.984708149086164, + -2.991777772097904, + -2.9795727804572945, + -2.9483350629475487, + -2.898671618183416, + -2.831541691582404, + -2.748235983582122, + -2.6503484119228986, + -2.539741087271325, + -2.4185033220092387, + -2.2889056327562254, + -2.153349814718238, + -2.01431625741757, + -1.8743097345562423, + -1.735804934184506, + -1.6011929982085926, + -1.4727303125452835, + -1.3524907316329038, + -1.2423223349879535, + -1.143809701197778, + -1.058242548948045, + -0.9865914387575666, + -0.9294910568792151, + -0.8872314185668818, + -0.8597571361342221, + -0.8466747026497541, + -0.8472675494932275, + -0.860518450051702, + -0.8851386670991602, + -0.9196030821344521, + -0.9621904050130994, + -1.0110274449783951, + -1.0641363324886974, + -1.1194835172267454, + -1.1750293328501569, + -1.2287769141622056, + -1.2788192774680405, + -1.3233834292111357, + -1.3608704501124524, + -1.389890609829106, + -1.4092926978471263, + -1.4181869065973682, + -1.4159607688306206, + -1.4022878289183263, + -1.3771289124914234, + -1.3407260460566415, + -1.2935892632500572, + -1.23647671258022, + -1.1703686484354547, + -1.0964360386309897, + -1.0160046540936494, + -0.9305156161543201, + -0.8414834616384905, + -0.7504528434450839, + -0.6589550132015276, + -0.5684652322157159, + -0.48036222738655987, + -0.3958907507894939, + -0.3161282168400843, + -0.24195628144863546, + -0.1740380962215533, + -0.11280182089800289, + -0.058430812653149054, + -0.010860735839243513, + 0.030216345377902843, + 0.06534101159757294, + 0.09526896947610516, + 0.1209474408843084, + 0.1434860906447357, + 0.16412326698009633, + 0.18418845242846127, + 0.20506192366311268, + 0.2281326938223256, + 0.25475585867577216, + 0.2862104869886151, + 0.3236591852723429, + 0.36811042794860016, + 0.4203846767443665, + 0.48108521953649297, + 0.5505745411894897, + 0.6289569001095626, + 0.7160676277334984, + 0.8114694978953367, + 0.9144563332319623, + 1.0240638310111307, + 1.139087405636277, + 1.2581066642632956, + 1.3795159600173053, + 1.5015603085722786, + 1.6223758123802459, + 1.7400336162139003, + 1.8525863210085551, + 1.9581157127554385, + 2.0547806212541544, + 2.1408637110217756, + 2.2148160239922423, + 2.2752981404937898, + 2.321216900299169, + 2.351756727529674, + 2.366404729417805, + 2.364968886346621, + 2.3475888156053535, + 2.3147387699051656, + 2.2672227195152534, + 2.2061615592993644, + 2.132972674224212, + 2.0493422843353963, + 1.957191168125156, + 1.8586345272462677, + 1.7559369015891553, + 1.651463168201608, + 1.5476267572840563, + 1.4468362910339068, + 1.3514418946004882, + 1.2636824417198618, + 1.1856349803384765, + 1.1191675360691644, + 1.0658964147572119, + 1.0271490215878287, + 1.0039330855316078, + 0.9969130276021828, + 1.0063940430270106, + 1.0323142850884266, + 1.0742453465039645 + ], + [ + 1.1129048820895784, + 1.1806493286716004, + 1.2615937902118521, + 1.3541095246819124, + 1.4563058737857923, + 1.5660718531018245, + 1.681122646939098, + 1.7990499197042171, + 1.9173747665699061, + 2.033602065665754, + 2.145274963322554, + 2.250028223811414, + 2.3456392054937614, + 2.43007528555649, + 2.501536644036871, + 2.558493432442219, + 2.599716490101002, + 2.6243009290404085, + 2.6316820817834747, + 2.6216434917250044, + 2.594316818127249, + 2.5501737225544896, + 2.4900099959697366, + 2.4149223710433625, + 2.326278637951893, + 2.225681839848897, + 2.1149294624405766, + 1.9959686473600984, + 1.870848548544714, + 1.741671012457459, + 1.6105407953329618, + 1.479516532963989, + 1.3505636509250487, + 1.2255103463356378, + 1.1060076878044325, + 0.9934947702535838, + 0.8891697287147722, + 0.7939672632860622, + 0.7085431600837468, + 0.6332661144342295, + 0.568216977215647, + 0.5131953578235956, + 0.4677333323881793, + 0.4311158282245186, + 0.40240708947997167, + 0.38048247867357066, + 0.3640647380294917, + 0.35176372641552067, + 0.34211856496400095, + 0.3336410690914316, + 0.3248593179691451, + 0.31436021513504925, + 0.30082992574281014, + 0.28309113605574415, + 0.2601361676337856, + 0.23115508998931006, + 0.19555810844421037, + 0.1529916551083258, + 0.10334777646420823, + 0.0467665867725873, + -0.016368262059139587, + -0.08544096098354169, + -0.15962146255461968, + -0.23788945486856475, + -0.3190637491939945, + -0.401836297753094, + -0.48480993614247797, + -0.5665388460720072, + -0.6455706609745567, + -0.7204890914772053, + -0.7899559309083777, + -0.8527513134069007, + -0.9078111385231175, + -0.9542606454558931, + -0.9914432155450671, + -1.018943600967536, + -1.0366049177941903, + -1.0445388991532893, + -1.043129075269708, + -1.033026727322305, + -1.0151396468588862, + -0.99061391728258, + -0.9608091140187821, + -0.9272674908409807, + -0.8916778771518621, + -0.8558351507882122, + -0.8215962695807871, + -0.7908339394094448, + -0.7653890644029238, + -0.7470231644532701, + -0.7373719552633095, + -0.7379012663700327, + -0.7498664233777828, + -0.7742761431167492, + -0.8118618864452646, + -0.8630534854317781, + -0.9279617127786415, + -1.0063682952048707, + -1.0977236931452028, + -1.201152780940953, + -1.3154683693151399, + -1.4391923200752714, + -1.570583816403226, + -1.707674175384628, + -1.848307426976549, + -1.9901857394458697, + -2.130918649021522, + -2.268074954150292, + -2.399236064776294, + -2.5220495562585663, + -2.6342816669637217, + -2.733867498544548, + -2.818957728014186, + -2.8879607197808936, + -2.9395790319418773, + -2.9728394417990835, + -2.9871157676057445, + -2.9821439333019057, + -2.958028906336133, + -2.9152433311490906, + -2.854617877836215, + -2.7773235221232317, + -2.6848461642985564, + -2.5789541764924246, + -2.4616596352554483, + -2.33517414569627, + -2.2018602908654628, + -2.064179842531457, + -1.9246399445086175, + -1.7857385254646974, + -1.6499102135680117, + -1.519474010092104, + -1.396583933586063, + -1.2831837715921346, + -1.180966975011201, + -1.0913426036094789, + -1.0154080829578593, + -0.9539293669557385, + -0.9073289201055804, + -0.8756817442994884, + -0.8587194807039055, + -0.8558424231434014, + -0.8661390899408231, + -0.8884128210951223, + -0.9212147013571322, + -0.9628819612372814, + -1.0115808808410869, + -1.0653531187366072, + -1.1221643122621687, + -1.1799537485620204, + -1.2366838882595779, + -1.2903885363721768, + -1.3392184974227537, + -1.3814836225639793, + -1.4156902540467917, + -1.4405731940290538, + -1.4551214674289326, + -1.458597308662831, + -1.450547975627055, + -1.4308101768187764, + -1.3995070844638295, + -1.357038093244763, + -1.3040616660366111, + -1.2414717804272217, + -1.1703686484354545, + -1.0920245228082344, + -1.0078455230894998, + -0.9193305103599059, + -0.8280281088035347, + -0.7354930133918665, + -0.643242735018315, + -0.5527159171322177, + -0.4652333118097736, + -0.38196242948375647, + -0.3038867771496245, + -0.2317804773308783, + -0.16618891755921072, + -0.1074159212423041, + -0.055517759600108144, + -0.010304145202135294, + 0.02865383491552456, + 0.06200906989988413, + 0.09061745833825671, + 0.1155111881736413, + 0.13786697805999726, + 0.1589701273615597, + 0.180175332745546, + 0.20286531556190615, + 0.2284083637400307, + 0.25811592322498667, + 0.293201376199941, + 0.33474111640359927, + 0.3836389763925574, + 0.4405949789779854, + 0.5060792773287327, + 0.5803120180579344, + 0.6632497122442284, + 0.7545785345161745, + 0.8537147941771236, + 0.9598126392872952, + 1.0717788692501096, + 1.1882945484375236, + 1.3078429373502687, + 1.428743093193089, + 1.549188342725979, + 1.6672887006205934, + 1.7811161996206655, + 1.888752017330962, + 1.9883342305645157, + 2.0781050033037345, + 2.156456019197677, + 2.2219710041055967, + 2.273464247746804, + 2.3100141245465613, + 2.3309907301091775, + 2.336076888599833, + 2.3252819443087276, + 2.2989479239547976, + 2.2577478406237583, + 2.202676101105877, + 2.135031171110099, + 2.056390842635082, + 1.9685806299883046, + 1.873635991053737, + 1.7737592241980402, + 1.671272024851241, + 1.5685647959660156, + 1.4680438904874322, + 1.3720780195320663, + 1.2829450857550908, + 1.2027806966800325, + 1.1335295776303098, + 1.0769010391341296, + 1.0343295608030456, + 1.00694143492856, + 0.9955282712583586, + 1.0005280030276493, + 1.0220138572401014, + 1.0596915637119584, + 1.1129048820895777 + ], + [ + 1.1590696437878334, + 1.2368238503467153, + 1.3267571847473068, + 1.4270693703086763, + 1.5357231197526333, + 1.6504888473255868, + 1.7689936473980545, + 1.8887733947615386, + 2.0073267493965634, + 2.1221698054177707, + 2.2308901112350696, + 2.3311988059812636, + 2.4209796654725655, + 2.498333928175609, + 2.5616198759306523, + 2.60948627294189, + 2.6408989166111674, + 2.6551597214618177, + 2.6519179385482246, + 2.631173302923442, + 2.5932710962756467, + 2.5388893059790894, + 2.4690182507890555, + 2.384933222630878, + 2.2881608590266387, + 2.180440107662404, + 2.0636787698707186, + 1.9399067103766474, + 1.8112268941351022, + 1.6797654557506898, + 1.547622021812413, + 1.4168214912269392, + 1.2892684337736067, + 1.1667051938408637, + 1.050674686548264, + 0.9424887497720891, + 0.8432027711271751, + 0.7535971473708768, + 0.6741659590634708, + 0.6051130600335999, + 0.5463555938540171, + 0.4975347628192714, + 0.4580334934943433, + 0.42700047129113267, + 0.4033798589930693, + 0.38594587459183083, + 0.3733412856718491, + 0.3641187837830025, + 0.3567841350703863, + 0.349839964502095, + 0.3418290212609135, + 0.331375792420535, + 0.317225380352039, + 0.2982786351212344, + 0.2736226344725148, + 0.24255572824179797, + 0.2046065080184132, + 0.15954622290899256, + 0.10739433427028061, + 0.048417081898722264, + -0.01688088316954688, + -0.08777156302063134, + -0.1633249632712449, + -0.24243615414386405, + -0.32385731735750933, + -0.40623392310024103, + -0.4881440723835502, + -0.5681399558061783, + -0.6447903223306671, + -0.7167228225798314, + -0.7826650911590637, + -0.8414834616384894, + -0.8922182653872095, + -0.9341147500246075, + -0.9666487627436887, + -0.9895464754421299, + -1.0027975791796198, + -1.0066615411973094, + -1.0016666944322574, + -0.9886021127007284, + -0.968502409900397, + -0.9426257840287294, + -0.912425801927976, + -0.8795175840167483, + -0.8456391957106593, + -0.8126091800158197, + -0.7822812706298897, + -0.7564974041021014, + -0.7370402011178676, + -0.7255861094032192, + -0.7236603934303975, + -0.7325951191292045, + -0.7534912159890832, + -0.7871856058141222, + -0.8342242691896998, + -0.8948419802860393, + -0.9689492813701548, + -1.0561270942076386, + -1.1556291806729644, + -1.2663924738887946, + -1.387055108780295, + -1.515981791804893, + -1.6512959684738842, + -1.7909180786059133, + -1.9326090372301243, + -2.0740179474727825, + -2.2127329439026093, + -2.3463339833860073, + -2.4724463475754432, + -2.5887935980877854, + -2.693248732856051, + -2.783882329941514, + -2.8590065324106506, + -2.917213823123428, + -2.9574096591704944, + -2.9788381793277843, + -2.981100360799808, + -2.96416417975241, + -2.928366519369036, + -2.8744067648055895, + -2.8033322217123295, + -2.7165156891386837, + -2.6156257039160353, + -2.50259014749248, + -2.3795540634451533, + -2.248832670697607, + -2.1128606705029904, + -1.9741390317796996, + -1.8351804973175943, + -1.6984550813229764, + -1.566336826086653, + -1.4410530523406933, + -1.324637274961934, + -1.218886864656568, + -1.125326419380369, + -1.0451776694046344, + -0.9793365805795693, + -0.9283581453995238, + -0.8924491652398431, + -0.8714691341864147, + -0.864939139945695, + -0.87205850517676, + -0.8917287079219799, + -0.9225839471310124, + -0.9630275627724817, + -1.0112733835007857, + -1.0653909615840786, + -1.1233535675151056, + -1.1830877574845864, + -1.2425232970653182, + -1.2996422246728347, + -1.3525258685296635, + -1.3993986901188453, + -1.4386679139034402, + -1.4689580151689108, + -1.4891392723491237, + -1.4983497437093458, + -1.4960101969007562, + -1.4818316994246674, + -1.4558157639427058, + -1.4182471299851933, + -1.369679448255129, + -1.3109143107945562, + -1.2429742353680218, + -1.1670703614263682, + -1.084565744255714, + -0.9969352402048934, + -0.9057230566140198, + -0.8124990932756345, + -0.7188152266799489, + -0.6261626833821784, + -0.5359316147746708, + -0.4493739232728135, + -0.3675703010613766, + -0.2914023293937568, + -0.22153035189400555, + -0.15837768281988368, + -0.10212154469126115, + -0.052690953309734535, + -0.009771586474453949, + 0.027182509750311782, + 0.05893070190843036, + 0.08642153197492441, + 0.11076311430567569, + 0.13318895951529142, + 0.15502013839227824, + 0.17762479588973876, + 0.20237609630654682, + 0.23060972417534492, + 0.2635820799728598, + 0.30243029516302794, + 0.34813514760766945, + 0.4014878870936118, + 0.46306188339109366, + 0.5331898882954955, + 0.61194756152986, + 0.6991437517383394, + 0.7943178520545373, + 0.8967443691920077, + 1.00544466021378, + 1.1192056067442833, + 1.2366048170399861, + 1.3560417765658914, + 1.4757742118333381, + 1.593958794202245, + 1.708695193660233, + 1.8180724002579078, + 1.920216165298197, + 2.0133363772779767, + 2.095773179986556, + 2.1660406623681565, + 2.2228670013023257, + 2.2652300181643774, + 2.292387216010144, + 2.303899493941635, + 2.2996478855123885, + 2.279842835265543, + 2.24502570757735, + 2.1960624104900206, + 2.1341292095279, + 2.060690997863127, + 1.977472474907558, + 1.8864228608632543, + 1.7896749356145376, + 1.6894993325925047, + 1.5882551383413601, + 1.488337943457912, + 1.3921265579674027, + 1.301929642322287, + 1.2199335130638114, + 1.148152359510498, + 1.088382055124056, + 1.0421586656815964, + 1.0107226479919857, + 0.9949896002334617, + 0.9955282712583591, + 1.0125463651263047, + 1.0458844928368143, + 1.0950184302087225, + 1.1590696437878325 + ], + [ + 1.2123490568249693, + 1.2994493405968581, + 1.3975931342177443, + 1.504823869629262, + 1.6189748871335048, + 1.7377168911961158, + 1.858608998388233, + 1.9791521857963228, + 2.0968438929542605, + 2.2092325051518444, + 2.313970451436126, + 2.4088646865827075, + 2.491923391863233, + 2.561397822938392, + 2.6158183523453378, + 2.654023895881078, + 2.675184073212902, + 2.67881362931082, + 2.664778830464072, + 2.6332957421221566, + 2.5849204908500565, + 2.520531804536489, + 2.4413063089587643, + 2.348687230405985, + 2.2443473091243513, + 2.1301468631196983, + 2.0080880530856278, + 1.8802664842604138, + 1.7488213378430446, + 1.6158852519102007, + 1.4835351689948086, + 1.353745334781533, + 1.2283435706533037, + 1.1089718537096152, + 0.9970521236714636, + 0.8937580997042474, + 0.7999937350887389, + 0.7163787677666478, + 0.6432416443563551, + 0.5806199088028239, + 0.5282679590593518, + 0.4856718907866345, + 0.4520709705914001, + 0.42648511719965604, + 0.40774762123805147, + 0.39454220663275325, + 0.38544343217170923, + 0.3789593530700463, + 0.3735753113370848, + 0.36779770157822955, + 0.3601965660613479, + 0.34944590918369994, + 0.33436068591047097, + 0.3139295096333806, + 0.28734223986948937, + 0.2540117463355807, + 0.21358929971333876, + 0.1659732069452854, + 0.11131048590894813, + 0.04999155630957363, + -0.017361894010168858, + -0.08991553004843816, + -0.16664697129783107, + -0.24637571121840468, + -0.327797552470038, + -0.40952263721462634, + -0.49011605676130626, + -0.5681399558061782, + -0.6421960052806065, + -0.7109671054386445, + -0.7732571976275304, + -0.8280281088035333, + -0.8744324261607294, + -0.9118414984165496, + -0.9398677828758699, + -0.9583809003141277, + -0.9675169194027101, + -0.9676805648439526, + -0.9595402242583976, + -0.9440158136258459, + -0.922259745070167, + -0.8956314193543922, + -0.8656658341020349, + -0.8340370532085178, + -0.8025174192260565, + -0.7729335052148079, + -0.747119892705129, + -0.7268719256699308, + -0.7138986250895564, + -0.7097769538405116, + -0.71590859702502, + -0.733480368993298, + -0.7634292764370344, + -0.806413158993248, + -0.8627876973878023, + -0.9325904274517324, + -1.0155322300570468, + -1.1109965862573183, + -1.2180466981166824, + -1.3354403835122646, + -1.4616524623371756, + -1.5949041667292703, + -1.7331989337793257, + -1.8743637799536361, + -2.0160953161613206, + -2.1560093445084165, + -2.2916928852653546, + -2.420757417768704, + -2.5408920835396605, + -2.6499155947695257, + -2.7458256166906203, + -2.8268444476640324, + -2.891459904782583, + -2.938460433410185, + -2.966963593704644, + -2.9764372325532538, + -2.966712821731936, + -2.9379906283003754, + -2.8908365767721267, + -2.8261708597470703, + -2.7452485496695913, + -2.6496326544116675, + -2.541160238852011, + -2.421902399163521, + -2.2941190221311496, + -2.1602093849617026, + -2.0226597487298625, + -1.8839891684658587, + -1.7466947832485975, + -1.613197859564727, + -1.4857918404159112, + -1.3665936017428255, + -1.257499037961091, + -1.1601439917535614, + -1.0758714123737325, + -1.005705474816488, + -0.950333223045836, + -0.9100941181943975, + -0.8849776817413333, + -0.8746292288154454, + -0.8783634927279779, + -0.8951857533579671, + -0.9238199036891432, + -0.9627427249704976, + -1.0102234956170997, + -1.0643679355952471, + -1.1231653896096498, + -1.184538081271722, + -1.246391228241195, + -1.3066627960432573, + -1.3633716860748988, + -1.4146632006871505, + -1.4588507038942577, + -1.4944524982485994, + -1.5202230641157801, + -1.5351779537903265, + -1.5386117959100154, + -1.530109041347126, + -1.5095472657640838, + -1.477093031707889, + -1.4331904997904372, + -1.378543159504074, + -1.3140892210483828, + -1.2409713659539527, + -1.1605016924087839, + -1.0741228076151184, + -0.9833661113699934, + -0.889808380132795, + -0.7950277975531156, + -0.7005605849316984, + -0.6078593632587712, + -0.5182543279360035, + -0.43291823937915735, + -0.3528361294413201, + -0.2787804976497731, + -0.2112926258374478, + -0.15067047858409094, + -0.09696348406622857, + -0.04997430984238924, + -0.00926756534402124, + 0.025814817958944445, + 0.056131952009396725, + 0.08271668982182034, + 0.10674339013386246, + 0.12949161316433394, + 0.15230671876632262, + 0.1765584205569707, + 0.20359840491330933, + 0.2347181506228585, + 0.2711080827598407, + 0.3138191630473145, + 0.36372795931969887, + 0.4215061501905083, + 0.4875953098059665, + 0.5621876844003115, + 0.6452135205922472, + 0.7363353387755373, + 0.834949367739966, + 0.9401941732642586, + 1.0509663284656539, + 1.1659427918336078, + 1.2836094847106418, + 1.4022953979201769, + 1.5202114113925325, + 1.635492884722728, + 1.7462449738313979, + 1.8505895519453646, + 1.946712563980768, + 2.032910623421025, + 2.1076356705329404, + 2.1695365501148918, + 2.2174964350407014, + 2.2506651170548073, + 2.2684853063124026, + 2.270712223143948, + 2.2574259260059035, + 2.229035994641003, + 2.186278372823646, + 2.13020436615586, + 2.062161982501894, + 1.983769991063429, + 1.896885256143585, + 1.8035640688638586, + 1.7060183503293842, + 1.6065677292406801, + 1.5075886024849563, + 1.4114613661525808, + 1.320517054710071, + 1.236984646418266, + 1.1629402829446802, + 1.1002596106633167, + 1.0505743812896038, + 1.0152343519120763, + 0.9952754014886639, + 0.991394635432322, + 1.0039330855316086, + 1.0328664331164241, + 1.0778039934384152, + 1.1379960033025658, + 1.2123490568249686 + ], + [ + 1.272292353257483, + 1.367995959436155, + 1.473502334437012, + 1.5867151843951048, + 1.7053568283045109, + 1.8270179959911264, + 1.949210513488848, + 2.069421647339546, + 2.1851688417015303, + 2.2940535750319038, + 2.3938130866533402, + 2.482368777121647, + 2.5578701686380962, + 2.618733420758409, + 2.6636735296453695, + 2.6917294928162123, + 2.702281891967146, + 2.6950625298234985, + 2.6701559485657875, + 2.6279928525251117, + 2.56933565175107, + 2.4952565309957566, + 2.4071086260465444, + 2.3064910518644046, + 2.1952086707030634, + 2.0752276098275635, + 1.9486276347043932, + 1.8175525523118508, + 1.6841598589136089, + 1.5505708563666039, + 1.418822440654617, + 1.290821716453585, + 1.1683045134749521, + 1.0527987761240367, + 0.945593670320455, + 0.847715103400503, + 0.7599081885966606, + 0.6826270088063355, + 0.616031849658234, + 0.5599938838845914, + 0.5141071024067615, + 0.4777071069910917, + 0.4498962093211813, + 0.42957412607890283, + 0.4154734229698909, + 0.40619874593738686, + 0.4002687878933995, + 0.3961598763450494, + 0.39235003281478625, + 0.38736234973820255, + 0.3798065546300277, + 0.3684176840599065, + 0.3520908699792676, + 0.32991134611170836, + 0.3011789097548588, + 0.26542622117367765, + 0.22243048504648824, + 0.17221823202401373, + 0.1150630989652688, + 0.05147668923916778, + -0.017807225011633978, + -0.09185472313575077, + -0.1695593809432474, + -0.24967479565666614, + -0.33085111835955167, + -0.4116746160866821, + -0.4907092053955774, + -0.5665388460720072, + -0.6378096589205601, + -0.7032706360251504, + -0.761811845350175, + -0.8124990932756331, + -0.8546040970917173, + -0.8876293324190847, + -0.9113268551498239, + -0.9257105504516951, + -0.9310614288098551, + -0.9279257667922607, + -0.9171060737482445, + -0.8996450503633614, + -0.8768028862377043, + -0.850028416849905, + -0.8209248210278933, + -0.7912106842871021, + -0.7626773774399405, + -0.7371438005474406, + -0.7164096169744533, + -0.7022081490661507, + -0.696160124522872, + -0.6997294503749324, + -0.7141821497524943, + -0.7405495263478831, + -0.7795965242332231, + -0.8317961288536636, + -0.8973105115119168, + -0.9759794579844681, + -1.067316446014402, + -1.1705125506224405, + -1.2844481650345343, + -1.4077123332514137, + -1.538629302619003, + -1.6752917258437607, + -1.8155997761715523, + -1.9573052910347841, + -2.0980599320724074, + -2.23546624623232, + -2.367130436276048, + -2.490715601366524, + -2.60399419077064, + -2.7048984265538407, + -2.7915674942388784, + -2.8623903727555913, + -2.916043274914397, + -2.9515207947039377, + -2.9681600049349632, + -2.9656569145716465, + -2.9440748754930794, + -2.9038447190347547, + -2.8457565988422697, + -2.7709437135573225, + -2.680858275856643, + -2.577240278680892, + -2.462079780636933, + -2.337573586368034, + -2.20607733042275, + -2.070054081588376, + -1.9320206661606623, + -1.794492961226847, + -1.6599314314828926, + -1.5306881748653567, + -1.4089567035815829, + -1.2967256189438445, + -1.1957372424489603, + -1.107452144169327, + -1.0330203657292136, + -0.9732599724726277, + -0.928643391885564, + -0.8992918072750815, + -0.8849776817413328, + -0.8851352923560591, + -0.8988789629516262, + -0.9250285007022105, + -0.9621411712046911, + -1.0085493931810015, + -1.0624032009427173, + -1.1217164135843878, + -1.1844153671134778, + -1.2483890113337668, + -1.311539148524247, + -1.37182959631103, + -1.427333092384399, + -1.4762748228971219, + -1.517071547810108, + -1.548365412773085, + -1.5690516753756096, + -1.578299730274929, + -1.5755669888505377, + -1.5606053503480217, + -1.5334601884126358, + -1.494461964800959, + -1.4442107662090564, + -1.3835542359835569, + -1.3135595356206804, + -1.2354801173665662, + -1.1507182152949473, + -1.0607840648559101, + -0.9672529375548437, + -0.8717211262807358, + -0.7757620367036421, + -0.6808835306766248, + -0.588487629018684, + -0.4998336144619343, + -0.4160054826608275, + -0.3378845723827812, + -0.2661280683256715, + -0.20115391495626736, + -0.14313251128721696, + -0.09198537889414318, + -0.04739081323110117, + -0.008796346057672787, + 0.024562330832865107, + 0.05363649889337783, + 0.07953427652002001, + 0.10348602434364107, + 0.12680622023032223, + 0.15085282524156476, + 0.17698522876509742, + 0.2065219000982794, + 0.24069888393574135, + 0.28063025819679616, + 0.3272716248769782, + 0.38138762929677594, + 0.4435244021190797, + 0.5139876943336318, + 0.5928273311664812, + 0.6798284501784103, + 0.7745098157001024, + 0.8761293205637914, + 0.9836966013901643, + 1.0959925101307157, + 1.2115950067834096, + 1.3289108706911419, + 1.4462124748464649, + 1.561678733054339, + 1.6734392170872336, + 1.7796203530023706, + 1.8783925448655814, + 1.9680170418560639, + 2.046891362013843, + 2.1135921129050272, + 2.166914105645638, + 2.2059047427415055, + 2.2298927700721745, + 2.2385106164251174, + 2.2317096970444763, + 2.2097682269634573, + 2.1732912712971504, + 2.1232029487291726, + 2.060730896477448, + 1.9873832953340413, + 1.904918937235684, + 1.8153109906800373, + 1.7207052768644624, + 1.623374007764826, + 1.5256660530339012, + 1.429954892677398, + 1.3385854746810724, + 1.2538212295166646, + 1.177792495873298, + 1.1124475839142351, + 1.0595076444654514, + 1.0204264261557607, + 0.996355889703451, + 0.9881185119884568, + 0.9961869555540985, + 1.020671605546134, + 1.0613162900278759, + 1.117502305626076, + 1.1882606732775416, + 1.2722923532574821 + ], + [ + 1.3383923856729043, + 1.4418837714515267, + 1.5538425592219496, + 1.672050477027044, + 1.79413811295507, + 1.9176366339548425, + 2.0400316628844943, + 2.1588180588991555, + 2.271554326604475, + 2.3759153904247907, + 2.469742512063569, + 2.5510891997311416, + 2.6182620562243843, + 2.669855636533449, + 2.704780531376073, + 2.7222840573352447, + 2.7219631130653354, + 2.703768949948803, + 2.668003800001058, + 2.6153094989778847, + 2.546648433769686, + 2.4632773256082388, + 2.3667145299244607, + 2.258701685770588, + 2.1411606788793045, + 2.016146989520097, + 1.8858005767726647, + 1.7522955027736207, + 1.6177895227181898, + 1.4843748584612995, + 1.35403133575644, + 1.2285829985274117, + 1.1096592198302646, + 0.9986612107391099, + 0.8967346882958043, + 0.8047493054442796, + 0.72328527351318, + 0.6526274256435893, + 0.592766782144826, + 0.543409490783093, + 0.5039928311513886, + 0.4737077971076592, + 0.4515276091481235, + 0.4362413635159624, + 0.4264919004099712, + 0.42081687290857034, + 0.41769192361896446, + 0.4155748293977798, + 0.41294945686413104, + 0.4083683832054762, + 0.40049307759004094, + 0.388130607248876, + 0.37026592717820694, + 0.34608893098774746, + 0.3150155796402281, + 0.27670258113384955, + 0.2310552635892613, + 0.1782284624071055, + 0.11862042463470937, + 0.05285991579089005, + -0.01821310847215527, + -0.09357273583155558, + -0.17203755190401343, + -0.25230549571144795, + -0.33299218047687074, + -0.4126716530013692, + -0.4899184999805146, + -0.5633501727165268, + -0.6316683937255783, + -0.6936985299532794, + -0.7484258671863445, + -0.7950277975531141, + -0.8329010348165179, + -0.8616830979126814, + -0.8812674487290301, + -0.8918118317981709, + -0.8937395373477677, + -0.8877334906230027, + -0.8747232550167862, + -0.855865219648475, + -0.8325164189981951, + -0.8062025985520506, + -0.7785812919216977, + -0.751400807712729, + -0.7264561351336458, + -0.7055428631102302, + -0.6904102662671022, + -0.6827147410013158, + -0.6839747751593718, + -0.6955286054323471, + -0.7184956581379724, + -0.7537427829229091, + -0.8018561771455305, + -0.8631197639844259, + -0.9375006329328022, + -1.0246419810521792, + -1.123863811342596, + -1.2341714553131962, + -1.3542717949693885, + -1.4825968697080179, + -1.617334370724575, + -1.7564643540224705, + -1.8978013472371191, + -2.039040889134149, + -2.1778094272233655, + -2.31171641130125, + -2.4384073611172585, + -2.5556166562897853, + -2.6612187968871774, + -2.7532769138038193, + -2.830087368518331, + -2.890219370605201, + -2.9325486563706766, + -2.956284410438261, + -2.9609887706810616, + -2.9465884317512345, + -2.9133780493522057, + -2.862015341799134, + -2.793507982591674, + -2.709192572883681, + -2.6107061711268744, + -2.499951034202963, + -2.3790533857316154, + -2.250317169021491, + -2.116173860871129, + -1.9791295152399058, + -1.8417102704485775, + -1.706407588473403, + -1.575624499237283, + -1.4516240964934808, + -1.336481475609582, + -1.232040218693852, + -1.1398744211631051, + -1.0612571187777609, + -0.9971358186917451, + -0.9481156660046394, + -0.9144505928851295, + -0.8960426050800548, + -0.8924491652398423, + -0.9028984387566548, + -0.9263119804551926, + -0.9613342640629611, + -1.0063682952048707, + -1.0596164066217097, + -1.1191252148306938, + -1.1828336233939372, + -1.2486226915699488, + -1.3143661499400399, + -1.377980337448377, + -1.4374723572500576, + -1.4909853011610898, + -1.5368394729561037, + -1.5735686471816364, + -1.5999505298241479, + -1.6150307368019428, + -1.618139772061045, + -1.6089026648762201, + -1.5872411113295577, + -1.5533681532239956, + -1.507775614188416, + -1.4512146928004224, + -1.3846702817190226, + -1.3093297358898526, + -1.2265469480537299, + -1.1378027027283153, + -1.0446623677776818, + -0.9487320435012148, + -0.8516143214100064, + -0.7548648077818566, + -0.6599505406976948, + -0.5682113742993979, + -0.4808253219239218, + -0.39877874269277047, + -0.322842126824132, + -0.2535520866988233, + -0.19119999733233806, + -0.13582755554356246, + -0.08722934619737911, + -0.0449623210262474, + -0.00836191534380026, + 0.023435644979917285, + 0.05146545522294059, + 0.07690121672611507, + 0.10101857572357169, + 0.12515550035263218, + 0.15067075841511846, + 0.17890160952354522, + 0.21112184776929557, + 0.24850132440385372, + 0.2920680443706961, + 0.3426738667376317, + 0.40096474873980287, + 0.46735635850463764, + 0.5420157454582952, + 0.6248496033177646, + 0.7154994923206158, + 0.8133442091631049, + 0.9175093094909827, + 1.0268836033427065, + 1.1401422633375, + 1.2557760131973508, + 1.3721257047569806, + 1.4874214490012554, + 1.5998253445133215, + 1.7074767481530473, + 1.8085389603628335, + 1.9012461531174554, + 1.9839493534008725, + 2.0551603096815794, + 2.1135921129050277, + 2.1581955160272743, + 2.18818999536689, + 2.203088720671546, + 2.202716745788436, + 2.1872218946628657, + 2.157077994084303, + 2.1130802908182478, + 2.056333081923725, + 1.9882297784453675, + 1.910425809555523, + 1.8248049519757827, + 1.7334398337155132, + 1.6385475077394123, + 1.5424411164559502, + 1.4474787687613035, + 1.3560108252333118, + 1.2703268320619536, + 1.1926033592485248, + 1.1248539830657462, + 1.0688826070544815, + 1.026241240991412, + 0.9981932550650645, + 0.9856829993886063, + 0.9893125300150659, + 1.0093260154020112, + 1.0456022158483456, + 1.0976552371974813, + 1.1646435637149977, + 1.2453871782806387, + 1.3383923856729032 + ], + [ + 1.4100899178863928, + 1.520487652318707, + 1.6379340939165106, + 1.7601077723347525, + 1.8845676112430494, + 2.0088061304046896, + 2.130304058554247, + 2.246585086381019, + 2.355269487370938, + 2.4541253633293882, + 2.5411163303693862, + 2.614444548539569, + 2.6725881119254753, + 2.7143319531849883, + 2.738791573701677, + 2.7454290839962465, + 2.7340612244711253, + 2.7048592294327745, + 2.658340592920599, + 2.5953529883907662, + 2.5170507810361102, + 2.4248647469222697, + 2.3204657729242433, + 2.2057234517866235, + 2.0826606041209, + 1.9534048509793858, + 1.820138424630114, + 1.6850474398139694, + 1.550271852333921, + 1.417857306290597, + 1.2897100163660256, + 1.1675557487200097, + 1.0529038554407728, + 0.9470171858555189, + 0.8508885466943805, + 0.7652242159285317, + 0.6904348362719609, + 0.6266338283269324, + 0.5736432748148578, + 0.5310070409684913, + 0.4980107166048127, + 0.473707797107659, + 0.45695136769147393, + 0.44643042166515756, + 0.4407098322532312, + 0.4382729115773497, + 0.437565431736107, + 0.4370399529400449, + 0.4351993030363159, + 0.43063808143157883, + 0.4220811175963874, + 0.40841789850023025, + 0.38873208829907896, + 0.3623253945730061, + 0.3287351850372027, + 0.2877454231082224, + 0.2393906658124293, + 0.18395304882585942, + 0.12195236633239818, + 0.05412953324219572, + -0.018576110433992352, + -0.09505503297103653, + -0.17406051773241582, + -0.25424555446988123, + -0.33420262446764115, + -0.41250531257522494, + -0.48775063024172777, + -0.5586009133592155, + -0.6238241675781646, + -0.6823317715718271, + -0.7332125145685295, + -0.7757620367036405, + -0.8095068570627276, + -0.8342223117820688, + -0.849943879793845, + -0.8569715428527087, + -0.8558670051065658, + -0.8474437811797828, + -0.8327503458889349, + -0.8130467186596338, + -0.7897750269043404, + -0.7645247507150373, + -0.7389934922003518, + -0.7149442330553925, + -0.6941601404073833, + -0.6783980511334824, + -0.6693418068549007, + -0.6685566245285219, + -0.6774456705686043, + -0.6972099600618744, + -0.7288126279486281, + -0.7729485177977348, + -0.8300199084377106, + -0.9001190522582215, + -0.9830180350370002, + -1.07816628968967, + -1.1846959097429781, + -1.3014347171899179, + -1.426926848416443, + -1.5594604358180153, + -1.6971017861632696, + -1.8377352940999745, + -1.9791081844881762, + -2.11887905410603, + -2.254669084798159, + -2.384114728815134, + -2.5049206247516533, + -2.6149114902457766, + -2.712081755827098, + -2.7946417526258127, + -2.8610593439621326, + -2.9100959952982883, + -2.9408364061555314, + -2.9527109782684797, + -2.9455105628297473, + -2.9193931120852668, + -2.874882052348939, + -2.8128563920529364, + -2.7345327749565875, + -2.6414398803189547, + -2.5353857540304885, + -2.418418822959947, + -2.2927834950068298, + -2.1608713758986227, + -2.0251692375104766, + -1.8882049488914354, + -1.7524926284072533, + -1.6204782923181058, + -1.4944872613078874, + -1.376674542329028, + -1.2689793297239664, + -1.1730846687494407, + -1.090383198849819, + -1.0219497463971627, + -0.9685213707672061, + -0.9304852876231707, + -0.9078749035463909, + -0.9003740013301684, + -0.9073289201055792, + -0.9277683837607678, + -0.9604304494970143, + -1.0037958802536409, + -1.0561270942076388, + -1.1155117152508265, + -1.179909643376533, + -1.2472024857730537, + -1.3152441399600152, + -1.3819113006429364, + -1.4451526724903063, + -1.5030357113991075, + -1.5537897859157679, + -1.5958447465187808, + -1.6278640109829297, + -1.6487714159690041, + -1.65777124472935, + -1.6543610143673395, + -1.63833678908332, + -1.6097909737010117, + -1.5691027298074025, + -1.5169213403719475, + -1.4541430231762587, + -1.3818818544585332, + -1.3014356078756288, + -1.2142474366701357, + -1.1218644257895376, + -1.0258941132328665, + -0.9279601243536004, + -0.8296580781882463, + -0.7325129108005415, + -0.6379387175624162, + -0.5472021453909479, + -0.4613902690781882, + -0.3813837654903051, + -0.3078360586615828, + -0.24115895126448836, + -0.18151508761295743, + -0.1288174145842489, + -0.08273562416468036, + -0.04270937937078623, + -0.007967948682825158, + 0.02244429267224808, + 0.04963718900994539, + 0.07483978731743511, + 0.09936192000551328, + 0.12455341936838828, + 0.15176205865472156, + 0.18229134938392547, + 0.21735933028756102, + 0.2580594598501909, + 0.305324672434852, + 0.35989557869354, + 0.42229368635954395, + 0.4928003902120772, + 0.5714423331846045, + 0.6579835779415185, + 0.7519248538610103, + 0.8525099626230844, + 0.9587392410905573, + 1.069389797543025, + 1.1830420611958858, + 1.2981120197690361, + 1.4128883698570254, + 1.5255736738159251, + 1.6343285081749988, + 1.7373175050051934, + 1.8327561314086973, + 1.9189570248337995, + 1.994374704050072, + 2.0576475073852234, + 2.1076356705329418, + 2.1434545444731796, + 2.1645020676956594, + 2.170479743239822, + 2.1614065267448566, + 2.1376252029382248, + 2.099801010581202, + 2.048912465344927, + 1.9862345217394375, + 1.9133144043253, + 1.8319406203196857, + 1.744105835851016, + 1.6519644522850536, + 1.5577858533923206, + 1.4639044052857813, + 1.3726673762279828, + 1.2863820004233468, + 1.2072629372991701, + 1.137381374789522, + 1.078616991768913, + 1.0326139317830294, + 1.000741849067807, + 0.9840629707055669, + 0.9833059784491441, + 0.9988473536356867, + 1.0307006525842544, + 1.0785139921938571, + 1.1415758306886248, + 1.2188289313300855, + 1.3088922022294924, + 1.410089917886392 + ], + [ + 1.4867783563319192, + 1.6031425776368975, + 1.7250654860853252, + 1.8501420657535466, + 1.9758802486931182, + 2.099755150146034, + 2.219263955182014, + 2.3319801810176077, + 2.435606055859293, + 2.5280218019845067, + 2.6073306867709025, + 2.6718988086273883, + 2.7203887127273174, + 2.751786080948392, + 2.7654189078139346, + 2.7609687554004214, + 2.738473870687564, + 2.6983241440176213, + 2.641248082428963, + 2.568292161873749, + 2.4807931030855586, + 2.3803437827354226, + 2.268753640457915, + 2.1480045697449395, + 2.0202033835318916, + 1.887532021088625, + 1.7521967097963291, + 1.6163773124756309, + 1.4821780778043478, + 1.351580968445396, + 1.2264026699511454, + 1.1082562851798947, + 0.9985185963713074, + 0.8983036332929669, + 0.8084431246197481, + 0.7294742349958697, + 0.6616348064370569, + 0.6048661344519005, + 0.5588231211938267, + 0.5228914647783901, + 0.4962113701630362, + 0.4777071069910913, + 0.4661215974996772, + 0.460055096483945, + 0.4580069283625895, + 0.45841917595763937, + 0.45972117337329116, + 0.46037364231359795, + 0.4589113275645539, + 0.45398303269236434, + 0.44438803006191385, + 0.42910791814987886, + 0.4073331212627677, + 0.3784833690384694, + 0.34222165187593195, + 0.29846131965674993, + 0.2473661704413716, + 0.18934355868876798, + 0.12503073432385198, + 0.055274800054938275, + -0.01889315973628784, + -0.09628907364964645, + -0.17561116322214382, + -0.25547855815698317, + -0.3344722094279686, + -0.41117700212352454, + -0.48422393733817926, + -0.5523312488833005, + -0.6143433461810793, + -0.6692665288002175, + -0.7163004993439974, + -0.754864807781855, + -0.7846194891601292, + -0.8054793047040595, + -0.8176211599115369, + -0.8214844482251976, + -0.8177642508465262, + -0.8073975076357921, + -0.7915424561688704, + -0.7715518112907964, + -0.7489403214739547, + -0.7253474867910078, + -0.7024963525631822, + -0.6821493994334816, + -0.666062631990641, + -0.6559390220096882, + -0.6533824874380624, + -0.65985358371975, + -0.6766280499298611, + -0.7047592892425268, + -0.7450457729513814, + -0.7980042417646251, + -0.863849440198798, + -0.9424809629538856, + -1.0334776200058502, + -1.1360995440258417, + -1.249298074136242, + -1.3717332586201556, + -1.5017986307467495, + -1.6376527310309554, + -1.777256680505308, + -1.9184169571476972, + -2.058832395289816, + -2.1961443189475838, + -2.327988637314314, + -2.452048676247186, + -2.566107494871289, + -2.6680984421080103, + -2.756152743942019, + -2.8286429777655835, + -2.8842213836430495, + -2.921852081595675, + -2.940836406155531, + -2.9408307310477486, + -2.9218563340234107, + -2.8843010402841394, + -2.828912578037563, + -2.7567837767556935, + -2.6693299328801894, + -2.568258854300683, + -2.4555342693789974, + -2.333333444352705, + -2.2039999907756784, + -2.0699929588839328, + -1.9338334006344853, + -1.7980496455181088, + -1.665122561659802, + -1.5374320734898794, + -1.4172061754426084, + -1.3064736195152906, + -1.2070213646239982, + -1.1203577597408305, + -1.0476822936449055, + -0.9898625851846614, + -0.9474191131332244, + -0.9205179983071664, + -0.9089719571766877, + -0.9122493504531667, + -0.9294910568792133, + -0.959534716379885, + -1.0009457123902146, + -1.0520541047871768, + -1.1109965862573181, + -1.1757624194644338, + -1.2442422228094694, + -1.3142784110187677, + -1.3837160646837483, + -1.4504530009029806, + -1.5124878452997519, + -1.5679649631143227, + -1.6152151922880553, + -1.6527914322706219, + -1.6794982758672976, + -1.6944150244191651, + -1.696911595120465, + -1.686657009093602, + -1.6636203354619523, + -1.6280641554227913, + -1.5805307965249837, + -1.5218217663695526, + -1.4529709823365018, + -1.37521254555849, + -1.2899439394731425, + -1.198685642647681, + -1.103038229513669, + -1.0046380891476456, + -0.9051129199473904, + -0.8060381563684249, + -0.7088954529225073, + -0.6150342912549766, + -0.525637689876684, + -0.44169288526627015, + -0.36396772043188097, + -0.2929933260221121, + -0.22905351355639886, + -0.17218112451682305, + -0.12216139737391701, + -0.07854223171787594, + -0.04065104917059059, + -0.007617779210971279, + 0.021596661198972425, + 0.048167168213854056, + 0.07336742891958499, + 0.09853007324648591, + 0.12500507115516207, + 0.1541174930665281, + 0.1871257696131446, + 0.22518157572847813, + 0.26929242412377113, + 0.32028798531714864, + 0.3787910572686425, + 0.4451939896922819, + 0.5196412292195977, + 0.6020184952647122, + 0.6919489266191314, + 0.7887963597582975, + 0.8916757160830642, + 0.9994702914844261, + 1.1108555623539136, + 1.2243289520036114, + 1.3382448447256072, + 1.450853995399214, + 1.5603463642044637, + 1.6648963116619337, + 1.7627090213376067, + 1.85206697791452, + 1.931375318025633, + 1.999204890619645, + 2.0543319123067323, + 2.0957731799865584, + 2.1228159062730665, + 2.1350413703148217, + 2.1323417244818055, + 2.114929462440575, + 2.083339232325303, + 2.03842186565272, + 1.981330683716964, + 1.9135003337154282, + 1.8366185920818956, + 1.7525917478424173, + 1.6635043399005658, + 1.5715741649835906, + 1.4791035939640287, + 1.3884283303690859, + 1.301864813667312, + 1.221657509612798, + 1.1499273394791523, + 1.0886224791164125, + 1.0394727078516468, + 1.0039484075044378, + 0.9832252050889179, + 0.9781551216769758, + 0.9892449375578268, + 1.0166423139279313, + 1.0601300279981325, + 1.1191284860620365, + 1.192706482406076, + 1.2795999757421574, + 1.3782384638851446, + 1.4867783563319181 + ], + [ + 1.56780888211832, + 1.6891492493361266, + 1.8144995647232407, + 1.9413916264201205, + 2.0673034790730083, + 2.1897142233169635, + 2.306158711787513, + 2.4142808616665743, + 2.511884348347417, + 2.596979509080604, + 2.6678253778506233, + 2.7229658909559062, + 2.7612594439171088, + 2.781901140954595, + 2.7844372544172495, + 2.768771598895908, + 2.7351637187309166, + 2.6842189834831154, + 2.6168708788993578, + 2.534355966264329, + 2.4381821562802792, + 2.330091100550684, + 2.212015640566148, + 2.0860333675057006, + 1.9543174334606768, + 1.8190858137964871, + 1.6825502499227811, + 1.5468661011094744, + 1.4140843032747745, + 1.2861065727342522, + 1.1646449053093706, + 1.05118630820193, + 0.9469635665232059, + 0.8529326917492668, + 0.769757529549431, + 0.6978018236620348, + 0.6371288452930333, + 0.5875085085586703, + 0.5484317064875623, + 0.5191314236596979, + 0.4986100151111697, + 0.48567189078663386, + 0.4789607142789794, + 0.477000117058122, + 0.4782368474779356, + 0.4810852195364935, + 0.48397170093067876, + 0.4853784839477238, + 0.4838849159915228, + 0.47820572813645545, + 0.467225088413169, + 0.45002561926924506, + 0.4259116529133371, + 0.3944261506085927, + 0.3553608785442642, + 0.30875960944563313, + 0.2549143010979704, + 0.19435438584315742, + 0.1278294842228856, + 0.05628602675364279, + -0.01916157399847785, + -0.09726441732483458, + -0.17667636921067928, + -0.2559940750036203, + -0.3337986545471004, + -0.4086979597537566, + -0.4793682586876798, + -0.5445942234873035, + -0.6033061415734622, + -0.6546133395043879, + -0.6978329048143216, + -0.7325129108005399, + -0.7584494895028415, + -0.7756972555248925, + -0.7845727539185079, + -0.7856507847942801, + -0.7797536411103817, + -0.7679334795863582, + -0.751448223250407, + -0.7317315632349628, + -0.7103577827928942, + -0.6890022641606732, + -0.6693986553266631, + -0.6532937659792696, + -0.6424013275188922, + -0.6383557892880616, + -0.6426673310805281, + -0.6566792502384129, + -0.6815288306837234, + -0.7181127222333256, + -0.7670577533939268, + -0.8286979720609763, + -0.903058559282056, + -0.9898470951379492, + -1.088452476917293, + -1.1979516025139136, + -1.317123740978808, + -1.4444723221329567, + -1.5782536928019255, + -1.7165122131469188, + -1.857120907074053, + -1.9978267397873861, + -2.1362994767430403, + -2.270182984555319, + -2.3971477681800684, + -2.514943501661672, + -2.62145030286758, + -2.7147275261963633, + -2.7930589007301374, + -2.854992923472719, + -2.899377526224438, + -2.9253881676875957, + -2.9325486563706766, + -2.9207441810434283, + -2.890226209741415, + -2.841609111154633, + -2.775858548972179, + -2.6942718956059672, + -2.5984511019110674, + -2.4902686394237734, + -2.371827296865762, + -2.2454147591858273, + -2.113454021658951, + -1.978450790508317, + -1.842939092753064, + -1.7094263597822037, + -1.5803392605063136, + -1.457971540578854, + -1.3444350745979556, + -1.2416152596255523, + -1.1511317727307218, + -1.0743055851774337, + -1.012132974528779, + -0.9652671070437208, + -0.9340075804382629, + -0.9182981258344896, + -0.9177324722058849, + -0.9315681816218125, + -0.9587480738551587, + -0.9979286790656189, + -1.0475149916773514, + -1.1057006512469194, + -1.170512550622441, + -1.2398587710411302, + -1.3115786703966763, + -1.383493906451298, + -1.4534591622740856, + -1.5194113569204994, + -1.579416169845233, + -1.631710781545371, + -1.6747418335447284, + -1.707197735481497, + -1.7280345925890463, + -1.7364951895931746, + -1.7321206428997684, + -1.7147545175103442, + -1.6845393937688182, + -1.6419060571088218, + -1.587555666761049, + -1.5224354323598235, + -1.4477084862770102, + -1.3647187803900842, + -1.2749519553971183, + -1.179993225805588, + -1.081483392040154, + -0.9810741311042402, + -0.8803837279703389, + -0.7809543911772743, + -0.684212248528424, + -0.5914310435863084, + -0.5037004528082841, + -0.4218998192683841, + -0.3466779551395427, + -0.278439505140263, + -0.2173381910553383, + -0.16327707759539467, + -0.11591581683004837, + -0.07468464685459755, + -0.03880474483055917, + -0.007314369520424, + 0.02089992190591183, + 0.04706782987579352, + 0.07249659835086032, + 0.09853007324648587, + 0.12650663453446265, + 0.157717133609568, + 0.1933639688284632, + 0.23452240435601035, + 0.2821051812638658, + 0.33683138661962536, + 0.3992004381638922, + 0.4694719118093162, + 0.5476517898835772, + 0.6334855435315495, + 0.7264582871312952, + 0.82580206038804, + 0.9305101095460668, + 1.0393578575552462, + 1.150930078641599, + 1.263653629981912, + 1.3758349462076214, + 1.485701375011817, + 1.591445327471362, + 1.6912701375245371, + 1.7834364734323227, + 1.866308121380604, + 1.9383959683132108, + 1.9983990475455287, + 2.0452415758807945, + 2.078105003303738, + 2.096454213645199, + 2.1000571540553357, + 2.0889973292938393, + 2.063678769870717, + 2.024823266700167, + 1.973459854639333, + 1.9109067183880366, + 1.8387458819949765, + 1.7587912229919833, + 1.6730505194906498, + 1.583682389252766, + 1.4929491100187149, + 1.4031664169734288, + 1.3166514534529727, + 1.2356701027970798, + 1.1623849512820883, + 1.0988051237041123, + 1.046739194550243, + 1.0077523096688783, + 0.983128557525402, + 0.9738395077891766, + 0.9805196910554055, + 1.0034496304331848, + 1.0425468574754169, + 1.0973651558107003, + 1.1671020804564909, + 1.2506146038994213, + 1.3464425464162761, + 1.4528392624944473, + 1.567808882118319 + ], + [ + 1.6524959403307111, + 1.7777800120553555, + 1.9054796770555986, + 2.0330844417603386, + 2.158063820484223, + 2.277922255451507, + 2.390253159409535, + 2.492790827328146, + 2.5834590159645385, + 2.6604150712119288, + 2.7220885911478545, + 2.767213744900506, + 2.7948545206147672, + 2.804422346168726, + 2.7956857096934593, + 2.7687715988959085, + 2.7241587739845965, + 2.6626630838700365, + 2.5854152245044544, + 2.493831517133667, + 2.3895784485119185, + 2.274531860798935, + 2.1507318024022646, + 2.0203341494821396, + 1.8855601788585903, + 1.7486453149889245, + 1.6117882855753822, + 1.4771019020178393, + 1.346566632890506, + 1.2219880621723835, + 1.1049592210752774, + 0.996828655615808, + 0.8986749447779012, + 0.8112882199204636, + 0.7351590591231549, + 0.6704749448588408, + 0.6171242843602421, + 0.5747078040167137, + 0.5425569467666489, + 0.5197587292617167, + 0.505186357827553, + 0.49753476281927056, + 0.49536009329166136, + 0.4971221208459217, + 0.5012284353294109, + 0.5060792773287331, + 0.5101118439716456, + 0.511842925567378, + 0.5099087804584526, + 0.5031012327995005, + 0.4903990808026144, + 0.47099402864149126, + 0.44431050046614173, + 0.4100188561371017, + 0.3680417012390176, + 0.3185531642832289, + 0.2619711971813028, + 0.19894313642387648, + 0.13032493733890452, + 0.0571546579028529, + -0.019379082314445423, + -0.09797281214776073, + -0.177247123573348, + -0.255787743503996, + -0.33218765840411557, + -0.40508915928614897, + -0.4732246755288323, + -0.5354552959071186, + -0.5908059335006857, + -0.6384961762964252, + -0.6779659751859051, + -0.7088954529225058, + -0.7312182681300249, + -0.7451281338571544, + -0.751078266284033, + -0.7497737215674993, + -0.7421567628564972, + -0.7293855805664557, + -0.7128068624868826, + -0.6939228718095528, + -0.6743538365971983, + -0.6557965798538872, + -0.6399804219862945, + -0.6286214644091016, + -0.6233764123348305, + -0.6257971150739309, + -0.6372869928537461, + -0.6590604803821652, + -0.6921065500073852, + -0.737157282948671, + -0.794662337961186, + -0.8647700258394088, + -0.9473155387977116, + -1.0418167098987159, + -1.147477493605451, + -1.2631991687507007, + -1.3875990744377238, + -1.5190365023362014, + -1.655645190160674, + -1.7953716952628826, + -1.9360187783737588, + -2.0752927993245724, + -2.2108540222845, + -2.340368650315317, + -2.4615613598534334, + -2.572267086375352, + -2.6704808235419715, + -2.7544042393595456, + -2.8224879834048, + -2.87346865728305, + -2.906399543881828, + -2.920674336685615, + -2.9160432749143967, + -2.8926212695578215, + -2.8508877951479805, + -2.7916785177355026, + -2.7161688262459003, + -2.6258496274052336, + -2.5224959490322587, + -2.4081290681970593, + -2.284973035356082, + -2.1554065993194853, + -2.0219116475278938, + -1.8870193589395376, + -1.7532553208410326, + -1.6230848847835408, + -1.498860030039428, + -1.3827689656497568, + -1.2767896352163743, + -1.182648193733223, + -1.101783405281883, + -1.0353177672949023, + -0.9840360048274116, + -0.948371400848994, + -0.9284002403177095, + -0.9238444513307625, + -0.9340823307126572, + -0.9581670487825484, + -0.9948524434308477, + -1.042625441520182, + -1.0997442901828158, + -1.16428164557448, + -1.2341714553131962, + -1.3072584858426468, + -1.3813492893214756, + -1.4542633776589167, + -1.5238833745663012, + -1.588202949799572, + -1.6453714022156816, + -1.6937338482230142, + -1.7318660873646443, + -1.7586033542071096, + -1.7730623219457762, + -1.774655894252168, + -1.7631005035907719, + -1.7384158219820927, + -1.7009169793046603, + -1.6511995700073072, + -1.5901179069346119, + -1.5187571464507952, + -1.4384000580957539, + -1.350489340955123, + -1.2565864946167893, + -1.158328332448756, + -1.0573822770476942, + -0.9554016008505104, + -0.8539817685766589, + -0.7546190026188448, + -0.6586721286967427, + -0.5673286687122798, + -0.4815760331380602, + -0.40217852937933674, + -0.32966074885137153, + -0.26429772792637496, + -0.20611210069090952, + -0.15487827911475485, + -0.11013351339020157, + -0.07119550648836559, + -0.037186086920870894, + -0.0070602865944598015, + 0.020359969522763716, + 0.04634847489556004, + 0.07223466323192781, + 0.0993619200055132, + 0.1290454056006359, + 0.16253052569599108, + 0.2009531690417025, + 0.24530278853319565, + 0.29638932954723085, + 0.35481491168128876, + 0.42095104878156525, + 0.4949220505036518, + 0.5765950901858753, + 0.6655772525177771, + 0.761219694672413, + 0.8626288707776396, + 0.9686845864706319, + 1.078064472444729, + 1.1892742978643622, + 1.300683390560472, + 1.4105642949468258, + 1.5171356840946935, + 1.6186074523149405, + 1.7132268512617197, + 1.7993244976653409, + 1.8753590752890363, + 1.9399595778182201, + 1.9919639926247783, + 2.030453406466997, + 2.054780621254158, + 2.06459249843801, + 2.059845401217295, + 2.040813270872776, + 2.0080880530856264, + 1.9625723776107828, + 1.905464585549858, + 1.8382363879720351, + 1.7626036230664126, + 1.6804907518153502, + 1.5939898900490554, + 1.5053153137299415, + 1.4167544909336718, + 1.330616785299826, + 1.2491810393955594, + 1.174643280824696, + 1.1090657980958347, + 1.0543288070525727, + 1.012085872630845, + 0.9837241661428774, + 0.9703305271978333, + 0.9726641644148164, + 0.9911366735139344, + 1.0257998789457956, + 1.0763418201177914, + 1.1420910099915755, + 1.2220288970603443, + 1.3148102662571035, + 1.41879112495793, + 1.532063441543919, + 1.65249594033071 + ], + [ + 1.740123040135285, + 1.868285009436102, + 1.9972360901630963, + 2.1244447490649496, + 2.247393399368901, + 2.363632966683216, + 2.4708358209680257, + 2.5668458481666607, + 2.6497245046347113, + 2.7177917948179315, + 2.769661235323717, + 2.804268013594434, + 2.8208897132694846, + 2.819159157003711, + 2.799069106620941, + 2.7609687554004223, + 2.705552143260952, + 2.6338388178432672, + 2.5471472483142796, + 2.4470616696589307, + 2.335393189141625, + 2.214136119789318, + 2.085420614968384, + 1.951462760787971, + 1.8145133372125788, + 1.6768064831605392, + 1.5405094949926652, + 1.4076749518937015, + 1.2801962966950868, + 1.1597679083731007, + 1.047850585145567, + 0.9456432177595255, + 0.8540612747262084, + 0.7737225488825675, + 0.7049404320567133, + 0.6477247963465166, + 0.6017903712763425, + 0.5665723205788407, + 0.5412485451566842, + 0.5247680742951947, + 0.5158847594769763, + 0.5131953578235945, + 0.5151809883704718, + 0.5202508665899888, + 0.5267871726799797, + 0.5331898882954961, + 0.5379204450575154, + 0.5395430660211618, + 0.5367627472960202, + 0.5284589194467059, + 0.5137139447682844, + 0.49183574403501495, + 0.46237400134531154, + 0.42512956427944565, + 0.38015683446205684, + 0.3277591262639768, + 0.26847715415722195, + 0.20307098752457894, + 0.13249598100934173, + 0.05787334448998623, + -0.019543844465413844, + -0.09840826477767065, + -0.17731859746997242, + -0.25486130931596324, + -0.32965285075536793, + -0.4003811328056583, + -0.4658451653551636, + -0.5249917856054861, + -0.5769484793794543, + -0.6210513976701678, + -0.6568677936732923, + -0.6842122485284224, + -0.7031562134967615, + -0.7140305683028397, + -0.7174210755299283, + -0.7141567947343098, + -0.7052917026876822, + -0.6920799432449163, + -0.6759452972757715, + -0.6584456156526538, + -0.6412330925636542, + -0.6260113689856286, + -0.6144905441080382, + -0.6083412335586056, + -0.6091488458297853, + -0.6183692514340126, + -0.6372869928537459, + -0.6669771278664717, + -0.7082717156088952, + -0.7617318457871496, + -0.8276259793765026, + -0.9059152172021676, + -0.9962459446725503, + -1.0979501207787912, + -1.2100532917200182, + -1.3312902188009796, + -1.4601278213014748, + -1.5947949525246936, + -1.7333183557352878, + -1.8735639904758223, + -2.0132827827115354, + -2.150159737841781, + -2.281865266722598, + -2.406107513735871, + -2.52068444420137, + -2.62353444692233, + -2.7127842365029937, + -2.7867928986502797, + -2.844191008609767, + -2.883913866128178, + -2.905228027168338, + -2.9077504697330423, + -2.8914599047825824, + -2.85669992914786, + -2.8041739110314023, + -2.7349316954409244, + -2.6503484119228986, + -2.5520958555039, + -2.4421070892072154, + -2.3225350785616987, + -2.1957063112043302, + -2.0640704745153045, + -1.930147358291051, + -1.7964722154618609, + -1.665540850191137, + -1.5397557084705715, + -1.421374221418667, + -1.3124605965160423, + -1.2148421683249424, + -1.130071309898653, + -1.0593937717964899, + -1.0037241606747118, + -0.9636290976185008, + -0.9393184119202824, + -0.9306445334063344, + -0.9371100503725464, + -0.9578832054956422, + -0.9918209134830697, + -1.037498706302256, + -1.0932468489076936, + -1.1571917244072254, + -1.227301466049645, + -1.301434717189918, + -1.377391331783044, + -1.4529637885761986, + -1.525988082891656, + -1.5943928808570835, + -1.6562457715358918, + -1.7097955313001614, + -1.7535094199374013, + -1.7861046567114658, + -1.8065733736517327, + -1.8142005089718498, + -1.8085742815668144, + -1.789589073553482, + -1.7574407371661542, + -1.7126145302849027, + -1.6558660667937637, + -1.5881958393343762, + -1.5108180286057018, + -1.425124451307258, + -1.3326446147501216, + -1.235002937240823, + -1.1338742573784597, + -1.0309387908750045, + -0.9278376996093552, + -0.8261304142898436, + -0.7272547999972402, + -0.6324911743982755, + -0.5429310836307742, + -0.45945161346783614, + -0.382695866635575, + -0.313060074832939, + -0.2506876402149047, + -0.19547022026745942, + -0.14705578671054936, + -0.1048634079579998, + -0.06810433032553237, + -0.03580877001989276, + -0.006857680089606175, + 0.019981372291020764, + 0.04601518934179825, + 0.07258383965242066, + 0.10101857572357155, + 0.13259990520165502, + 0.1685169458506616, + 0.2098291621849061, + 0.25743152133171543, + 0.31202401861573814, + 0.3740864117424792, + 0.4438588691135724, + 0.5213290860856155, + 0.6062262567089418, + 0.6980221118437078, + 0.795939052004971, + 0.8989652194468785, + 1.00587617350783, + 1.1152626606759668, + 1.2255638105766216, + 1.3351049452086385, + 1.4421390649376773, + 1.544890974168815, + 1.6416029348680214, + 1.7305806891397384, + 1.8102386741622372, + 1.8791432644741468, + 1.936052917696707, + 1.979954169333919, + 2.0100925186703034, + 2.025997368664362, + 2.0275003251797434, + 2.014746321425736, + 1.9881972081563937, + 1.9486276347043907, + 1.8971132357476947, + 1.8350113291290033, + 1.7639345163479785, + 1.6857177548950373, + 1.602379635969518, + 1.516078748218053, + 1.4290661342525217, + 1.3436349486843797, + 1.2620685016562614, + 1.1865879184304822, + 1.1193006622789998, + 1.0621511542171844, + 1.016874679289169, + 0.9849556961424646, + 0.9675915662407333, + 0.9656625936494779, + 0.9797091189026325, + 1.009916244576724, + 1.0561065898796405, + 1.1177412811787053, + 1.193929189575709, + 1.28344423015046, + 1.3847503451267076, + 1.4960336096545517, + 1.6152407286294514, + 1.7401230401352838 + ], + [ + 1.8299488166159799, + 1.9598985282465469, + 2.088992503270594, + 2.214699598793147, + 2.334536447067581, + 2.446121205610532, + 2.5472249306821313, + 2.635819385195547, + 2.7101201783383098, + 2.76862424685364, + 2.8101408242816164, + 2.8338152011572917, + 2.839144752370343, + 2.8259868933714034, + 2.794558820130685, + 2.745429083996248, + 2.6795012470755015, + 2.597990051736523, + 2.5023907147238584, + 2.394442117913353, + 2.2760848099827817, + 2.1494148528201595, + 2.016634640463846, + 1.8800018845362068, + 1.7417779969520302, + 1.604177107336041, + 1.4693169289969812, + 1.3391726341511638, + 1.2155348177656506, + 1.099972521992486, + 0.9938021624221568, + 0.8980630465990217, + 0.8135000082046814, + 0.7405535012112191, + 0.6793573116091726, + 0.6297438546760356, + 0.5912568378846983, + 0.5631708881162839, + 0.544517571327347, + 0.5341170774343938, + 0.5306147067404036, + 0.532521180079369, + 0.5382557057739868, + 0.5461906746354518, + 0.5546968210461956, + 0.562187684400312, + 0.5671622308395661, + 0.5682445495863794, + 0.5642196197932214, + 0.5540642505745519, + 0.5369724260109328, + 0.512374435106603, + 0.4799493301595812, + 0.4396304316070668, + 0.3916037787041546, + 0.33629960878377463, + 0.2743771286857325, + 0.20670301565707894, + 0.13432424722233693, + 0.05843600610130625, + -0.019654466489030187, + -0.09856709108827076, + -0.17689018619904484, + -0.2532226104919689, + -0.32621567722057926, + -0.39461371234671594, + -0.45729216216200946, + -0.5132922186143503, + -0.561851019542203, + -0.6024265943466466, + -0.6347168604391163, + -0.6586721286967411, + -0.6745007432834733, + -0.6826676583383466, + -0.6838859367200263, + -0.679101339612564, + -0.6694703556945946, + -0.6563321901944736, + -0.6411753931388081, + -0.6255999484049944, + -0.6112757671740934, + -0.5998986279178045, + -0.5931446775930453, + -0.5926246533576855, + -0.5998389996544364, + -0.6161350414558469, + -0.6426673310805275, + -0.6803622142712914, + -0.7298875628724445, + -0.7916284988270309, + -0.8656697903172856, + -0.9517854392119114, + -1.0494358035316103, + -1.157772413721471, + -1.2756504516930736, + -1.4016486715697734, + -1.5340963555519616, + -1.6711067219287492, + -1.8106160393974977, + -1.95042755658582, + -2.088259231648325, + -2.2217941471614786, + -2.3487324227964335, + -2.466843394285269, + -2.574016813176794, + -2.6683118382336346, + -2.7480026357344842, + -2.8116194813549304, + -2.8579843589310743, + -2.88624017881476, + -2.895872887645482, + -2.8867259085924135, + -2.8590065324106506, + -2.813284070608004, + -2.750479777989581, + -2.6718487480657407, + -2.5789541764924246, + -2.4736345701862144, + -2.3579646485664325, + -2.234210834401728, + -2.1047823612904843, + -1.9721791297191957, + -1.838937521359182, + -1.7075754298821575, + -1.5805377849163258, + -1.4601438333817862, + -1.3485373996476908, + -1.2476412737954814, + -1.1591167775251103, + -1.0843294323503947, + -1.024321507755357, + -0.979792061525139, + -0.9510849045712649, + -0.9381847326404475, + -0.9407214719690534, + -0.9579826899891951, + -0.9889337303841567, + -1.0322450487994628, + -1.086326055787838, + -1.1493646212152067, + -1.2193712630617801, + -1.294226936474401, + -1.3717332586201556, + -1.4496639532501912, + -1.5258162770912198, + -1.5980611986874478, + -1.6643911388172976, + -1.7229641490678407, + -1.772143499814367, + -1.8105317683030744, + -1.8369986587452873, + -1.8507019457441838, + -1.851101105989784, + -1.8379633866321872, + -1.8113622474998006, + -1.7716683036711993, + -1.719533080135051, + -1.655866066793764, + -1.5818057255219866, + -1.4986852473540042, + -1.4079939835522342, + -1.3113355762336047, + -1.2103838899312915, + -1.1068378931353888, + -1.00237665738092, + -0.8986156304580825, + -0.7970653001700412, + -0.6990932968490821, + -0.6058908883534045, + -0.5184447029516144, + -0.4375143763994363, + -0.3636166631799164, + -0.29701638229833177, + -0.23772438950652608, + -0.18550258490887622, + -0.13987578220823604, + -0.10015008801014941, + -0.06543727111520867, + -0.03468444685185008, + -0.006708264148574673, + 0.019767333314580717, + 0.04607079296110639, + 0.07354117342181735, + 0.10348602434364088, + 0.13714006066246603, + 0.17562574625018493, + 0.21991685333964983, + 0.27080598818378016, + 0.32887697192509074, + 0.3944828411922259, + 0.46773008863399806, + 0.5484696030848639, + 0.6362945963757358, + 0.7305456233179777, + 0.830322617655247, + 0.9345036844436296, + 1.0417702130019413, + 1.1506377087441508, + 1.2594915910796394, + 1.3666270719981573, + 1.470292119338307, + 1.5687324229207427, + 1.6602372229426305, + 1.743184829837444, + 1.8160866640511262, + 1.877628672983065, + 1.9267090400610827, + 1.9624711862124984, + 1.9843311748148813, + 1.9919987648758295, + 1.9854915104405644, + 1.965141473303261, + 1.9315942968443118, + 1.8858005767726627, + 1.8289996550716643, + 1.7626961518065507, + 1.6886297309717866, + 1.6087387667168322, + 1.5251187308402256, + 1.439976257512727, + 1.3555799533820325, + 1.2742091076852378, + 1.1981015155408121, + 1.1294016566848157, + 1.0701104707557072, + 1.0220379387624696, + 0.9867596192829652, + 0.9655781986547376, + 0.9594909990577026, + 0.9691642497104197, + 0.9949147677497803, + 1.0366995205747305, + 1.0941133547462751, + 1.1663949824841136, + 1.2524411201067736, + 1.3508284782181406, + 1.4598431157927503, + 1.577516494132985, + 1.7016674062641493, + 1.8299488166159787 + ], + [ + 1.9212133030571417, + 2.0518454766619634, + 2.1799726156029515, + 2.303085394075444, + 2.418755693964054, + 2.524689084405775, + 2.6187742021172036, + 2.699127891080658, + 2.7641350623464462, + 2.812482361772888, + 2.8431848823817454, + 2.8556053250120423, + 2.8494651920260496, + 2.824847789532546, + 2.782193009287326, + 2.7222840573352465, + 2.6462264877981387, + 2.5554200823328186, + 2.4515242842599294, + 2.3364180471153206, + 2.212155086760419, + 2.0809156310967247, + 1.944955839358968, + 1.8065561120763518, + 1.667969531968665, + 1.5313716649000728, + 1.398812908911657, + 1.2721745093959809, + 1.1531292614735933, + 1.0431077990570405, + 0.9432712270184771, + 0.8544906919125872, + 0.7773343118822742, + 0.712061702058883, + 0.658626142556013, + 0.6166842467503996, + 0.5856128026442816, + 0.5645322842868423, + 0.5523363678379823, + 0.5477266418822845, + 0.5492515775986091, + 0.5553487243852759, + 0.564389022951544, + 0.5747220824683488, + 0.5847212521736206, + 0.5928273311664817, + 0.5975898025780225, + 0.5977045487245001, + 0.592047100384353, + 0.5797005934951526, + 0.5599777472546641, + 0.5324363352359262, + 0.4968877916742551, + 0.4533987742206562, + 0.40228568763722145, + 0.3441023554958924, + 0.2796212043125541, + 0.209808492219864, + 0.13579426801842825, + 0.05883788236497387, + -0.019710012472917628, + -0.09844794733710362, + -0.17596551431377563, + -0.25088551116558383, + -0.32190521784319287, + -0.3878356928961919, + -0.447638028226662, + -0.5004555785645705, + -0.5456412853308336, + -0.582779340589798, + -0.6117005824019497, + -0.632491174398274, + -0.645494295734913, + -0.6513047483738537, + -0.650756572303482, + -0.6449039412153659, + -0.6349957866821403, + -0.6224447635819771, + -0.6087913191985524, + -0.5956637592743239, + -0.5847353129571559, + -0.5776792822559988, + -0.5761234181311479, + -0.581604693186675, + -0.5955256393201809, + -0.619113387566841, + -0.6533824874380615, + -0.6991024957088185, + -0.7567712119489004, + -0.8265943028552082, + -0.908471902927955, + -1.0019926090339262, + -1.1064351051002583, + -1.2207774650585643, + -1.3437139918681913, + -1.4736792627090944, + -1.6088788699182812, + -1.7473261784477403, + -1.8868842677659206, + -2.0253120930424244, + -2.1603137904988916, + -2.2895899677658846, + -2.410889764107889, + -2.5220624389307633, + -2.6211072508050006, + -2.706220423316771, + -2.7758380576424377, + -2.8286739433496604, + -2.8637513363834404, + -2.8804279136848003, + -2.8784132740268715, + -2.857778530564701, + -2.8189577280141855, + -2.7627410117474, + -2.6902596726849226, + -2.6029633858901047, + -2.50259014749248, + -2.3911295894301, + -2.2707805102326186, + -2.143903598789918, + -2.012970443374371, + -1.880510007289443, + -1.749053813225652, + -1.6210811092326862, + -1.4989652894131493, + -1.3849228120052197, + -1.2809657971977193, + -1.1888593982893676, + -1.1100849248390714, + -1.0458095580709417, + -0.9968633403826531, + -0.9637239462343875, + -0.9465095552351956, + -0.9449799544491921, + -0.9585458005457592, + -0.9862857782045751, + -1.0269712038871215, + -1.0790974482548206, + -1.1409213904163176, + -1.210503976695418, + -1.2857568391129008, + -1.3644918370848333, + -1.444472322132957, + -1.5234648911627422, + -1.5992903898475745, + -1.6698729538732031, + -1.7332859315100264, + -1.7877936147310884, + -1.83188781573189, + -1.8643184584499524, + -1.8841175071791032, + -1.890615722796154, + -1.8834519172510966, + -1.862574564320711, + -1.828235814525667, + -1.780978149846548, + -1.7216140947926932, + -1.651199570007308, + -1.5710016287518545, + -1.482461451515238, + -1.3871535863395144, + -1.2867425095138716, + -1.1829376409686791, + -1.0774479795951346, + -0.9719375251393132, + -0.8679826253248486, + -0.7670323302348192, + -0.6703727522342292, + -0.5790963210188359, + -0.49407669253555947, + -0.41594992088517224, + -0.3451023377070339, + -0.2816654081462462, + -0.2255176507681699, + -0.17629352532069995, + -0.13339901169489352, + -0.09603343036621084, + -0.06321689338517188, + -0.033822629699506494, + -0.006613302897837906, + 0.019719663460038, + 0.046514815321704206, + 0.07509856506323027, + 0.10674339013386219, + 0.1426274602134266, + 0.18379678322641224, + 0.23113089607403234, + 0.2853130350478059, + 0.346805605864243, + 0.41583163700789433, + 0.4923627460238494, + 0.5761139804463594, + 0.6665457174265973, + 0.7628726233164577, + 0.8640794910990991, + 0.9689435942726815, + 1.0760630251366075, + 1.1838903277352326, + 1.2907705949978643, + 1.3949830794724636, + 1.4947852705690827, + 1.5884583209056564, + 1.6743526620295455, + 1.750932636621095, + 1.8168189906913028, + 1.8708281149451662, + 1.9120069983442982, + 1.9396629572088637, + 1.9533873275268883, + 1.9530724534611548, + 1.938921467802371, + 1.9114505363114365, + 1.8714834231793414, + 1.820138424630112, + 1.758807907296957, + 1.6891308727056396, + 1.6129591444035465, + 1.5323179356051748, + 1.449361698645825, + 1.3663262794412139, + 1.2854784974615148, + 1.20906434196665, + 1.1392570166014058, + 1.0781060758100074, + 1.0274888775339217, + 0.989065527685874, + 0.964238414068834, + 0.9541173225648278, + 0.9594909990577022, + 0.9808058697858648, + 1.018152464286378, + 1.07125990287344, + 1.1394986191166712, + 1.221891291704922, + 1.3171317641755271, + 1.4236115400330134, + 1.539453259435531, + 1.6625503963191164, + 1.7906122656467056, + 1.9212133030571406 + ], + [ + 2.013144360605827, + 2.1433479418922885, + 2.269406694240867, + 2.388854351088724, + 2.499338607119933, + 2.5986718832619675, + 2.6848782960604867, + 2.75623574721478, + 2.8113121662983995, + 2.8489950800774326, + 2.8685138419399707, + 2.8694540308507315, + 2.8517637166470653, + 2.815751482821067, + 2.7620762944461927, + 2.691729492816214, + 2.6060093849493513, + 2.5064890708364405, + 2.394978309941539, + 2.273480367159976, + 2.144144893861528, + 2.0092179890310464, + 1.8709906467461248, + 1.7317468278780077, + 1.5937123952749537, + 1.4590061228404814, + 1.329593930650047, + 1.2072474120805787, + 1.0935076070639818, + 0.9896548408543787, + 0.8966852935135523, + 0.8152947955375849, + 0.7458701639150389, + 0.6884882049390746, + 0.6429223199683853, + 0.6086564627621988, + 0.5849060166471812, + 0.570644991062874, + 0.5646387841320645, + 0.5654816245652394, + 0.5716376956908521, + 0.5814848593869058, + 0.5933598402143602, + 0.6056037014678045, + 0.6166064457887067, + 0.6248496033177653, + 0.6289457292473444, + 0.6276738185120132, + 0.6200097559915356, + 0.6051510531468224, + 0.5825352730717299, + 0.5518517116697769, + 0.5130460788401779, + 0.4663181057114568, + 0.41211218747806466, + 0.3511013516323625, + 0.28416501378491277, + 0.2123611434759689, + 0.13689360635648878, + 0.05907557322594742, + -0.019710012472917628, + -0.09805184153421728, + -0.174552404956733, + -0.24786978425465864, + -0.31675794106004646, + -0.38010441956572655, + -0.4369644418907598, + -0.48659046923961374, + -0.5284564184317626, + -0.5622758610568888, + -0.5880136876889714, + -0.6058908883534029, + -0.6163822785229086, + -0.6202071828195388, + -0.618313271694468, + -0.6118539250076552, + -0.6021596661040853, + -0.5907043663708038, + -0.5790670593744995, + -0.5688903219669679, + -0.5618362741652092, + -0.559541317718879, + -0.5635707732796011, + -0.5753745868952094, + -0.5962452578072642, + -0.6272790916111787, + -0.6693418068548996, + -0.7230394209180182, + -0.7886952150020864, + -0.8663334313473958, + -0.9556701919676475, + -1.0561119512925141, + -1.1667616094947448, + -1.2864322235456482, + -1.4136680638963872, + -1.5467725808236907, + -1.6838426704894212, + -1.8228084709898191, + -1.9614777771167928, + -2.0975840427815733, + -2.228836845090297, + -2.352973616334721, + -2.467811411422951, + -2.5712974695677495, + -2.661557350674989, + -2.7369394783881056, + -2.79605500196184, + -2.8378119961687607, + -2.8614431497280317, + -2.866526245131378, + -2.852996902544286, + -2.821153243566856, + -2.7716523226006724, + -2.705498369715005, + -2.624023084458213, + -2.5288584102490046, + -2.421902399163521, + -2.305278942706685, + -2.181292291467351, + -2.052377411804034, + -1.9210473278269289, + -1.7898386694825519, + -1.6612566907341124, + -1.5377210346052679, + -1.4215135039055402, + -1.3147290482196188, + -1.219231100401979, + -1.1366122912635852, + -1.068161441927716, + -1.01483758262714, + -0.9772515781993132, + -0.9556557583287224, + -0.9499417591360456, + -0.9596465866951418, + -0.9839667172510922, + -1.0217798580850908, + -1.0716738117665483, + -1.1319817193487989, + -1.2008228089520678, + -1.2761476487350911, + -1.3557868005473794, + -1.4375016950265478, + -1.5190365023362016, + -1.5981697561906516, + -1.6727645026039297, + -1.74081578850486, + -1.8004943778138403, + -1.8501856819104565, + -1.8885230151054573, + -1.9144144306406377, + -1.9270625552336418, + -1.925977016192594, + -1.9109792402536085, + -1.8821995929324566, + -1.840067016618667, + -1.7852915101808033, + -1.7188399679321558, + -1.6419060571088235, + -1.5558749565715648, + -1.4622839017435507, + -1.362779578859906, + -1.2590734830638612, + -1.1528963980387785, + -1.0459531687253347, + -0.9398789229828126, + -0.8361978532946742, + -0.7362855969999037, + -0.6413361549563181, + -0.5523341665589002, + -0.47003321677737986, + -0.39494069197672216, + -0.327309529788256, + -0.26713702856440413, + -0.214170698533175, + -0.1679209543141936, + -0.12768027157983672, + -0.09254826381266062, + -0.06146198253575046, + -0.03323060992594756, + -0.006573599752547563, + 0.0198387660359329, + 0.04734349979349861, + 0.0772428383386454, + 0.11076311430567536, + 0.14901567797125903, + 0.1929609261090883, + 0.24337641451210834, + 0.3008299257428097, + 0.36565823607727055, + 0.4379521787164436, + 0.5175484378552037, + 0.6040283342284004, + 0.6967236816886475, + 0.7947296107910264, + 0.8969240739120327, + 1.0019935717126436, + 1.1084644772034946, + 1.2147391854455656, + 1.3191361878042378, + 1.419933062977085, + 1.5154112954873151, + 1.603901778100533, + 1.683829829126782, + 1.7537585595393799, + 1.8124294582680096, + 1.8587991261587382, + 1.892071178472027, + 1.911722450261227, + 1.9175227757566309, + 1.9095477686292637, + 1.8881842008990677, + 1.854127760072639, + 1.8083731523531676, + 1.752196709796327, + 1.6871318463718752, + 1.6149378873761322, + 1.537562964046956, + 1.45710181637209, + 1.3757494781591293, + 1.295751926144994, + 1.2193548565293264, + 1.1487518057249382, + 1.0860328559265096, + 1.0331351596317728, + 0.9917964805787901, + 0.9635128825052915, + 0.9495016032338487, + 0.9506700320705619, + 0.9675915662407324, + 1.000488960502082, + 1.0492256070845485, + 1.113304994999854, + 1.1918784031171885, + 1.2837606849527556, + 1.3874538096602975, + 1.5011776379574135, + 1.6229072382158307, + 1.7504158909221714, + 1.8813227930187357, + 2.013144360605826 + ], + [ + 2.104964210915896, + 2.233631771676336, + 2.356538086409682, + 2.4712808256457595, + 2.5756034186257333, + 2.6674436742231875, + 2.7449779419647773, + 2.806659795293419, + 2.8512523505468526, + 2.8778534876482254, + 2.885913408496945, + 2.8752441523553527, + 2.8460208796750015, + 2.79877493210787, + 2.734378872117758, + 2.6540238958810796, + 2.559190193417685, + 2.4516109957461834, + 2.333231196298766, + 2.206161559299367, + 2.0726296282929977, + 1.934928521118553, + 1.7953648416244516, + 1.6562069523370793, + 1.5196348358490634, + 1.3876927263888719, + 1.26224561809019, + 1.1449406548280923, + 1.0371742807122273, + 0.9400658835986346, + 0.8544384999852092, + 0.7808069724936925, + 0.7193737652324677, + 0.670032452304556, + 0.6323787052914416, + 0.6057284213965877, + 0.5891424596227568, + 0.5814572921790224, + 0.5813207362008386, + 0.5872318102955394, + 0.5975836643282384, + 0.6107084615554086, + 0.6249230513389479, + 0.6385742591629912, + 0.6500826387252553, + 0.6579835779415192, + 0.6609647255191904, + 0.6578988053652676, + 0.6478710098950867, + 0.6302003071244435, + 0.6044541565863208, + 0.5704563015379668, + 0.5282874852362175, + 0.47827912268899225, + 0.42100014159148896, + 0.35723738251878834, + 0.2879701144185751, + 0.214339372840679, + 0.13761296133672224, + 0.05914706771198671, + -0.019654466489030194, + -0.09738212491394412, + -0.1726628136725167, + -0.24420094417349172, + -0.3108173951618947, + -0.3714853024261367, + -0.4253617065245574, + -0.4718141957384028, + -0.510441810595197, + -0.5410896244626976, + -0.5638565781478954, + -0.5790963210188343, + -0.5874109924864117, + -0.5896380611518007, + -0.5868305198968972, + -0.5802309090818519, + -0.5712398023990338, + -0.5613795366840542, + -0.5522540943551418, + -0.5455061518776649, + -0.5427723870283669, + -0.5456381896939518, + -0.5555929440939859, + -0.57398704400167, + -0.6019917668176548, + -0.6405630680376216, + -0.6904102662671007, + -0.7519704726800378, + -0.8253894805203964, + -0.9105096732943895, + -1.006865338553618, + -1.1136855918628856, + -1.2299049271898388, + -1.3541812202168049, + -1.4849208246737238, + -1.6203102233672086, + -1.7583535295910429, + -1.896914985203952, + -2.0337654726070573, + -2.1666319524050435, + -2.2932486593736687, + -2.4114088385196704, + -2.5190157818479957, + -2.614131935557935, + -2.695024886637982, + -2.760209106341203, + -2.8084824241954776, + -2.8389563277503664, + -2.85107932726842, + -2.8446527875610323, + -2.819838807201507, + -2.7771599141000127, + -2.71749054130585, + -2.642040443165002, + -2.5523304048182482, + -2.4501607827692475, + -2.337573586368034, + -2.216808965335108, + -2.0902571030952646, + -1.9604066264020488, + -1.8297907258013724, + -1.700932236845618, + -1.5762889572694927, + -1.458200469952115, + -1.348837705546225, + -1.2501564130296496, + -1.1638556127306294, + -1.0913419868856575, + -1.0337010204270665, + -0.9916755429462232, + -0.9656521455878322, + -0.955655758328722, + -0.9613524782757231, + -0.9820605430327684, + -1.0167691496266293, + -1.064164633653698, + -1.1226633497316165, + -1.1904504372175368, + -1.2655235182885745, + -1.3457402621646704, + -1.428868662202561, + -1.5126388138640197, + -1.5947949525246938, + -1.6731465113714463, + -1.745616991118951, + -1.8102894940994365, + -1.86544786386084, + -1.9096124854848746, + -1.9415699385206482, + -1.9603958502817116, + -1.9654704683695057, + -1.9564866533902012, + -1.933450181388462, + -1.8966724358449414, + -1.846755756455414, + -1.7845718916937199, + -1.7112341699219855, + -1.6280641554227937, + -1.5365536874726604, + -1.4383233092404561, + -1.3350781762460506, + -1.2285625893677181, + -1.1205143236505946, + -1.0126199208775122, + -0.9064720811923451, + -0.8035302279217078, + -0.7050852317415175, + -0.61222916776753, + -0.5258308449103416, + -0.44651769436178657, + -0.37466443725743603, + -0.31038877462991277, + -0.25355416021823446, + -0.20377953315200376, + -0.1604557076287038, + -0.12276794499219851, + -0.08972407443559764, + -0.06018738590683678, + -0.032913396286349594, + -0.006589490619278679, + 0.020123633380578813, + 0.04854983533087424, + 0.07995585172585792, + 0.11551118817364092, + 0.15625066672303053, + 0.20304064210260367, + 0.25654980602673155, + 0.3172253803520385, + 0.38527536078165847, + 0.46065731652536024, + 0.543074081778512, + 0.6319764963666017, + 0.7265731699285451, + 0.8258470612121978, + 0.9285784860611069, + 1.0333739989990884, + 1.1387004382562926, + 1.2429232865796536, + 1.3443483837480406, + 1.4412659343615766, + 1.5319956885888135, + 1.6149321358692599, + 1.68858854311223, + 1.7516386900056642, + 1.802955204211833, + 1.841643477312094, + 1.8670702465014501, + 1.878886054701589, + 1.877040949840981, + 1.861792948908978, + 1.8337089699675309, + 1.7936581212127005, + 1.7427974258147032, + 1.682550249922779, + 1.614577884205633, + 1.5407449020466248, + 1.4630790757049925, + 1.3837267714219719, + 1.3049048620753647, + 1.2288502885882118, + 1.1577684665090424, + 1.0937817703084416, + 1.03887933399964, + 0.9948693824505512, + 0.9633352537195465, + 0.9455961901616544, + 0.942673866866156, + 0.9552654928094382, + 0.9837241661428759, + 1.0280469940049124, + 1.0878713032954619, + 1.1624790764489619, + 1.25080955007306, + 1.3514797191645185, + 1.4628123002351947, + 1.5828705277038408, + 1.7094989937098115, + 1.840369596098219, + 1.9730315362716908, + 2.1049642109158953 + ], + [ + 2.19589601650477, + 2.321933123960234, + 2.440629621104243, + 2.5496674524733924, + 2.6469048936658965, + 2.7304226168183128, + 2.798564669630325, + 2.849973425052687, + 2.8836177030599237, + 2.898813429298638, + 2.8952363738462017, + 2.8729267024779164, + 2.832285268109306, + 2.774061766693966, + 2.699335075028147, + 2.6094862729418926, + 2.506165024749425, + 2.391250150409922, + 2.2668053518539164, + 2.1350311711101018, + 1.9982143415625633, + 1.8586757498741513, + 1.7187182525263456, + 1.5805755869828266, + 1.4463635833642148, + 1.3180348191489053, + 1.197337768431801, + 1.085781380999007, + 0.9846058878503873, + 0.8947604723074509, + 0.8168882734235898, + 0.7513190053697794, + 0.6980692873571719, + 0.6568505881739392, + 0.6270845022763889, + 0.6079248952084728, + 0.5982862893464229, + 0.5968777106752232, + 0.6022410871811333, + 0.6127931826598348, + 0.6268699688754109, + 0.6427722859926083, + 0.6588116172766769, + 0.6733548097164603, + 0.6848666072428735, + 0.6919489266191321, + 0.6933758961963395, + 0.6881237922185219, + 0.6753951432796206, + 0.6546364274044489, + 0.6255489541254957, + 0.5880927015915383, + 0.5424830616674483, + 0.4891806295372107, + 0.4288743538638494, + 0.36245853455728533, + 0.29100431334035254, + 0.21572644359840995, + 0.13794624689048401, + 0.05905176094738822, + -0.01954384446541385, + -0.09644446358194182, + -0.1703127272584411, + -0.23991003096933886, + -0.3041338398551638, + -0.3620512631086182, + -0.41292798651955054, + -0.45625177202109773, + -0.4917498735551373, + -0.5193998759556927, + -0.5394336338566559, + -0.5523341665588987, + -0.5588255478149474, + -0.5598560119726336, + -0.5565746752370849, + -0.5503024384622666, + -0.5424977916053286, + -0.5347183758505144, + -0.5285792739575483, + -0.5257090896668283, + -0.5277049406583137, + -0.5360875249355451, + -0.5522574266192208, + -0.5774538037468065, + -0.6127165482847995, + -0.6588529283945342, + -0.7164096169744514, + -0.7856508812055206, + -0.8665435584132009, + -0.95874927769934, + -1.0616242085796812, + -1.1742264316934463, + -1.2953308371451617, + -1.423451267903426, + -1.5568694436017831, + -1.6936700286075674, + -1.8317810516385984, + -1.9690187464463078, + -2.1031357676223124, + -2.231871645352885, + -2.353004280253487, + -2.464401245898808, + -2.5640696632389846, + -2.650203437936225, + -2.7212267081954975, + -2.775832435593954, + -2.813015182727782, + -2.832097256531482, + -2.832747551632295, + -2.81499260032266, + -2.7792195204893435, + -2.7261707456386692, + -2.6569306173079585, + -2.5729041148710454, + -2.4757881862760893, + -2.367536320990395, + -2.250317169021491, + -2.1264681533570555, + -1.9984451440038795, + -1.8687693570457182, + -1.7399727094449213, + -1.6145428980293686, + -1.4948694783052416, + -1.383192195233658, + -1.2815527644754978, + -1.1917512201484703, + -1.1153078358670652, + -1.0534314924156685, + -1.0069952110965368, + -0.9765194003648339, + -0.9621631789969062, + -0.9637239462343866, + -0.9806451728068973, + -1.012032191249025, + -1.056675574251204, + -1.1130815105297576, + -1.1795084232181123, + -1.254008930050468, + -1.3344761211474458, + -1.4186930319835245, + -1.504384118458923, + -1.5892674995719505, + -1.6711067219287496, + -1.7477608194289278, + -1.817231490373674, + -1.8777062916703917, + -1.927596853767281, + -1.9655712478051677, + -1.990579785001364, + -2.0018736937561807, + -1.9990162982617865, + -1.9818865090525162, + -1.9506746263254395, + -1.9058706462580897, + -1.848245444270199, + -1.7788253826833291, + -1.6988610492550111, + -1.6097909737010145, + -1.5132012881346917, + -1.4107823914608222, + -1.304283744899089, + -1.195467964392448, + -1.086065384806507, + -0.9777302504119263, + -0.8719996367662264, + -0.7702561320988734, + -0.6736952036680729, + -0.5832980489505439, + -0.4998105861671964, + -0.4237290772493108, + -0.3552927030173488, + -0.29448322947737304, + -0.241031720320264, + -0.1944320685858369, + -0.15396094462925242, + -0.11870359243776339, + -0.08758475615511215, + -0.05940388716267297, + -0.032873672551644396, + -0.006660841054108007, + 0.02057185538733609, + 0.05012361578931182, + 0.0832146519039595, + 0.12094744088430796, + 0.16427121519003143, + 0.2139506522485297, + 0.2705396177646606, + 0.33436068591047047, + 0.4054910102255576, + 0.4837549546945887, + 0.5687237192956976, + 0.6597220127625862, + 0.755841641968733, + 0.8559617068686014, + 0.958774916895756, + 1.0628193835173674, + 1.1665150983825665, + 1.2682041808884503, + 1.3661938762429393, + 1.458801207880791, + 1.544398138403415, + 1.6214560723938198, + 1.6885885431122303, + 1.744590963075456, + 1.788476384999238, + 1.8195063129574953, + 1.837215721630089, + 1.8414315812950226, + 1.8322843443454195, + 1.8102120216844333, + 1.775956660111765, + 1.7305532202392004, + 1.6753110438838186, + 1.6117882855753798, + 1.5417598601491986, + 1.467179622945714, + 1.3901376467773732, + 1.3128135868376847, + 1.2374272279041554, + 1.166187384897935, + 1.1012403761283938, + 1.0446193070910084, + 0.9981953909535111, + 0.963632490056758, + 0.9423459918142726, + 0.9354670339795851, + 0.9438129707050127, + 0.9678648251041355, + 1.007752309668876, + 1.063246816860769, + 1.1337625928417967, + 1.2183661122401788, + 1.315793475814391, + 1.424475460667566, + 1.5425696689698496, + 1.6679990504585864, + 1.7984959204827784, + 1.9316504627969535, + 2.0649625979389703, + 2.1958960165047685 + ], + [ + 2.2851704531500543, + 2.4075049293468425, + 2.520969845889181, + 2.6233510452383078, + 2.712639789497297, + 2.787075880694692, + 2.8451851110928077, + 2.8858101835851806, + 2.9081343983098638, + 2.911697574437828, + 2.896403861482197, + 2.862521287893045, + 2.810673091439259, + 2.7418210711415925, + 2.6572413895582367, + 2.5584934324422215, + 2.4473824958656665, + 2.325917214892797, + 2.196262769309031, + 2.0606909978631296, + 1.9215286206692663, + 1.781104808247342, + 1.6416993442785537, + 1.50549260738973, + 1.3745185457720495, + 1.250621738536394, + 1.1354195314541267, + 1.0302701048197926, + 0.9362471808695417, + 0.8541219112612833, + 0.7843523057370768, + 0.7270803757111709, + 0.6821369758123631, + 0.64905413708263, + 0.6270845022763886, + 0.61522730103549, + 0.612260144881087, + 0.6167757828331791, + 0.627222841437089, + 0.6419494808812709, + 0.6592488339436966, + 0.6774050582347199, + 0.694738825424963, + 0.709651093932151, + 0.7206640632279767, + 0.7264582871312959, + 0.7259050281086413, + 0.7180930620060352, + 0.702349289521892, + 0.678252673351799, + 0.6456411941565682, + 0.6046116999054757, + 0.5555127071336906, + 0.49893039457518806, + 0.4356682048962004, + 0.36672063443900943, + 0.29324193985437624, + 0.21651062050289466, + 0.13789064327117584, + 0.058790459270507245, + -0.019379082314445437, + -0.09524679057737573, + -0.16752202850899547, + -0.23503334770956755, + -0.29676382104209176, + -0.35188211785474877, + -0.399768476773304, + -0.44003486323442415, + -0.4725387495571403, + -0.49739012062296656, + -0.5149514839754653, + -0.5258308449103399, + -0.5308677903054977, + -0.5311130048946242, + -0.5278017158517789, + -0.5223217215531278, + -0.5161768041401925, + -0.5109464493551495, + -0.5082428978752609, + -0.5096666274390346, + -0.5167614124694374, + -0.5309701263892401, + -0.5535924408424819, + -0.5857455357744481, + -0.6283288657044673, + -0.6819939321870409, + -0.7471198927051269, + -0.8237956949977823, + -0.911809266559094, + -1.0106441156803116, + -1.1194835172267454, + -1.2372222678841867, + -1.36248580655693, + -1.4936563106570282, + -1.6289052028073119, + -1.7662313393967428, + -1.9035040065692324, + -2.038509724269452, + -2.1690017580763112, + -2.2927511643014613, + -2.4075981481373825, + -2.5115024987263688, + -2.6025918793722362, + -2.679206795469958, + -2.7399411360807004, + -2.7836772857112435, + -2.8096149283704714, + -2.817292813358383, + -2.806602917936763, + -2.7777966220216865, + -2.7314826999538178, + -2.6686171296208694, + -2.590484914967697, + -2.4986743094550468, + -2.3950440106363526, + -2.2816840652470916, + -2.1608713758986227, + -2.035020830921545, + -1.9066331849124944, + -1.7782408965001344, + -1.6523531798190674, + -1.5314015459318113, + -1.4176870994761306, + -1.3133308143956477, + -1.2202279417415995, + -1.1400076039365066, + -1.0739985059716715, + -1.0232015477915286, + -0.98826995716758, + -0.9694973827074436, + -0.9668141966626702, + -0.9797920615251376, + -1.007656617803791, + -1.0493079576376767, + -1.1033483647146283, + -1.1681166297997583, + -1.2417280971816511, + -1.32211946423768, + -1.4070972473070875, + -1.4943887447474813, + -1.5816942743854034, + -1.6667394387943748, + -1.7473261784477407, + -1.8213814095535708, + -1.8870021092984735, + -1.9424958046038265, + -1.9864155389558154, + -2.017588532420478, + -2.035137909069169, + -2.038497039739313, + -2.0274162320099345, + -2.0019616889070697, + -1.962506848466224, + -1.9097164031495684, + -1.844523476630018, + -1.7681006012161844, + -1.6818252881309768, + -1.5872411113295615, + -1.4860153304231394, + -1.3798941570314718, + -1.2706568196428554, + -1.1600696036408307, + -1.0498410351174596, + -0.9415793397284721, + -0.8367532421832605, + -0.7366570797335329, + -0.6423810866212207, + -0.5547875688620321, + -0.4744935334927333, + -0.40186016745269093, + -0.3369893828939414, + -0.27972746243996843, + -0.2296756543784982, + -0.18620738861468014, + -0.14849161394972862, + -0.11552160017828245, + -0.08614840857190958, + -0.05911811505717186, + -0.033111774802602766, + -0.006787047400070454, + 0.0211796398952048, + 0.052051526273989214, + 0.08699166794881949, + 0.12702587927981182, + 0.17300946590289126, + 0.225598652924196, + 0.2852274895881306, + 0.35209086997926703, + 0.42613415086698686, + 0.5070496767534167, + 0.5942803428667719, + 0.6870301437926548, + 0.7842814732916165, + 0.8848187642309523, + 0.987257890947078, + 1.090080603990267, + 1.1916731329713706, + 1.2903679805663686, + 1.384487842537229, + 1.4723905271859534, + 1.552513714593516, + 1.6234183922191003, + 1.683829829126783, + 1.7326750057077172, + 1.7691154979925032, + 1.7925749235225639, + 1.8027601866476821, + 1.7996759118348902, + 1.7836316204050346, + 1.7552413849405861, + 1.7154158820063679, + 1.6653469531696674, + 1.6064849718895855, + 1.540509494992663, + 1.4692938476366215, + 1.3948644456232613, + 1.3193557947591987, + 1.2449622202493944, + 1.1738874669645665, + 1.10829337159467, + 1.0502488386112536, + 1.0016803527577258, + 0.9643252313559867, + 0.9396887606948993, + 0.929006273516436, + 0.9332111112038797, + 0.9529092774164917, + 0.988361432902178, + 1.0394727078516441, + 1.1057906226401901, + 1.1865112146479457, + 1.2804932727615383, + 1.3862803869238485, + 1.5021303324578332, + 1.6260511324341456, + 1.755842980398049, + 1.8891450642626637, + 2.02348621358104, + 2.156338199639591, + 2.285170453150053 + ], + [ + 2.372032218720588, + 2.489623211640908, + 2.5968790461084486, + 2.6917082074035084, + 2.772251959155821, + 2.8369241536040364, + 2.8844448363214643, + 2.913866875697396, + 2.924595013960927, + 2.916396917367774, + 2.8894059939312355, + 2.8441159431166296, + 2.7813671984591113, + 2.702325616324202, + 2.608453947334713, + 2.5014767968872174, + 2.3833399335601637, + 2.2561649353927717, + 2.122200270833321, + 1.9837699910634319, + 1.8432212615125485, + 1.702871981505539, + 1.5649597316963058, + 1.4315932495405823, + 1.3047075646008475, + 1.186023829718087, + 1.0770147634603207, + 0.9788764768060656, + 0.8925072963133128, + 0.8184940210757411, + 0.7571058659349912, + 0.7082961532928844, + 0.6717116251631635, + 0.6467090605347959, + 0.632378705291441, + 0.6275738572199663, + 0.6309458010856842, + 0.6409831619584538, + 0.656054642023327, + 0.6744540294835187, + 0.6944463196830141, + 0.7143137693570668, + 0.7324007153456248, + 0.7471560288213422, + 0.7571721440043975, + 0.7612196946724138, + 0.7582769100805176, + 0.7475530611441558, + 0.7285054043478011, + 0.700849240839306, + 0.6645608872370332, + 0.6198735382791114, + 0.567266184938318, + 0.5074459303788841, + 0.4413242156345555, + 0.36998762287033904, + 0.2946640626278, + 0.216685269062677, + 0.13744662091057802, + 0.05836537341177058, + -0.019161573998477864, + -0.09379923875581771, + -0.16431432799840576, + -0.22961215334127988, + -0.28876969241680883, + -0.3410639022349668, + -0.38599451269301716, + -0.4233006717649523, + -0.4529709734033618, + -0.4752465709541619, + -0.49061725857061733, + -0.499810586167195, + -0.5037742552376221, + -0.5036522187640115, + -0.5007550739972917, + -0.4965254878809061, + -0.4924995274679633, + -0.49026487845302946, + -0.4914170210522509, + -0.4975144916840278, + -0.510034389662219, + -0.530329289562388, + -0.5595866919393392, + -0.5987920882795897, + -0.6486966318066337, + -0.7097902960516331, + -0.7822812706298875, + -0.8660821916714154, + -0.9608036365841953, + -1.0657551334253033, + -1.1799537485620204, + -1.3021401271549922, + -1.4308016739959504, + -1.5642023820477722, + -1.7004186471708789, + -1.8373802542110913, + -1.9729155857292249, + -2.1047999935559742, + -2.2308061878851126, + -2.3487554409721705, + -2.4565683741990494, + -2.552314099089872, + -2.6342565148677624, + -2.7008966266302297, + -2.7510098377653067, + -2.783677285711243, + -2.798310428814043, + -2.7946682505194014, + -2.772866621613469, + -2.7333795474659097, + -2.677032220697818, + -2.604985995681433, + -2.5187155949938878, + -2.4199790446601948, + -2.3107810101621067, + -2.1933303644715143, + -2.0699929588839328, + -1.9432406837567664, + -1.8155979965404079, + -1.689587156506108, + -1.5676734377927344, + -1.452211594013582, + -1.3453948186324793, + -1.2492073863326085, + -1.165382073094658, + -1.095363338801165, + -1.040277118668048, + -1.0009079120239641, + -0.9776836827617092, + -0.9706688994209333, + -0.979565848871062, + -1.0037241606747098, + -1.0421582842189117, + -1.0935724723475986, + -1.1563926480899036, + -1.2288043694510005, + -1.3087959650257774, + -1.3942057938395807, + -1.4827724891787546, + -1.5721869804738569, + -1.6601450510796192, + -1.7443991838690185, + -1.8228084709898191, + -1.8933854182392236, + -1.9543385568856804, + -2.0041098843027356, + -2.0414062867339897, + -2.0652242495648694, + -2.074867328831669, + -2.069956038151838, + -2.050429993323324, + -2.0165423478481705, + -1.9688467418573632, + -1.9081771696758516, + -1.8356213430653168, + -1.7524882837965163, + -1.660271016797761, + -1.5606053503480262, + -1.4552258198420291, + -1.345919934392763, + -1.234481899481375, + -1.1226669932627653, + -1.0121477489735264, + -0.9044730418900051, + -0.8010310978907951, + -0.7030173340124412, + -0.6114078122009771, + -0.5269389390646828, + -0.4500938806086751, + -0.381095985844601, + -0.3199093312578047, + -0.2662463139838962, + -0.21958203984948285, + -0.17917507775279967, + -0.14409398860258155, + -0.11324888930813874, + -0.08542718383649854, + -0.059332487351659406, + -0.0336256885864391, + -0.006967041894370154, + 0.02194184477222274, + 0.054317255789816575, + 0.09125494459557913, + 0.1336950770208018, + 0.1823914893064757, + 0.23788609677310596, + 0.30048915545517724, + 0.3702659271782064, + 0.447030132394992, + 0.5303443988122448, + 0.6195277318918194, + 0.713669850311223, + 0.8116520500550335, + 0.9121740895359968, + 1.0137864293659062, + 1.1149270181567443, + 1.2139616936659436, + 1.3092271698388995, + 1.3990755073979457, + 1.4819189204865055, + 1.5562737557122082, + 1.6208024932314193, + 1.6743526620295472, + 1.715991632293811, + 1.7450363450566069, + 1.7610771607485118, + 1.7639951509714882, + 1.7539723181794802, + 1.7314944020799699, + 1.6973461151387854, + 1.6525988380291257, + 1.5985909945296828, + 1.5369015095452274, + 1.469316928996979, + 1.3977929419250024, + 1.3244111892024062, + 1.2513323661476963, + 1.1807467249215302, + 1.1148231543862175, + 1.0556580582283022, + 1.0052252654389509, + 0.9653281902923525, + 0.9375554120836843, + 0.9232407691500378, + 0.9234289588791279, + 0.9388475079620369, + 0.9698858281296879, + 1.0165819056267738, + 1.0786169917689095, + 1.1553184714949902, + 1.2456708915044052, + 1.3483349341221695, + 1.4616739322377545, + 1.5837873391807438, + 1.712550399671382, + 1.8456591181251096, + 1.9806794922738835, + 2.1150998764426947, + 2.2463852624352323, + 2.3720322187205864 + ], + [ + 2.455746423374246, + 2.567593213015275, + 2.6677149955788857, + 2.754160606445108, + 2.825237056711343, + 2.8795456966009323, + 2.9160116902756306, + 2.933906129078266, + 2.932860285756192, + 2.9128716995208124, + 2.87430197631937, + 2.8178663856939927, + 2.744615530284541, + 2.655909551661448, + 2.553385512195356, + 2.438918752813998, + 2.314579166889612, + 2.1825834477576844, + 2.0452444586775553, + 1.904918937235687, + 1.7639547797853594, + 1.6246391547637362, + 1.489148666627118, + 1.359502735442629, + 1.2375212723411466, + 1.1247876202334735, + 1.0226175952160688, + 0.9320353103067035, + 0.8537562933975701, + 0.7881782298235983, + 0.7353794712272135, + 0.6951252611365356, + 0.6668814385935902, + 0.6498351989391907, + 0.6429223199683844, + 0.6448601063097006, + 0.6541851688533677, + 0.6692950426696835, + 0.6884925588603494, + 0.7100318252769274, + 0.7321646394369651, + 0.7531861549621722, + 0.771478650407734, + 0.785552305663695, + 0.7940819746886723, + 0.7959390520049717, + 0.7902176613420425, + 0.7762545447093735, + 0.7536421951901435, + 0.7222349526809622, + 0.6821479642021709, + 0.633749094653744, + 0.5776440553405943, + 0.5146551916620756, + 0.44579453366869415, + 0.372231859650816, + 0.29525864985844275, + 0.21624891167191193, + 0.1366179364387836, + 0.05778009978989666, + -0.018893159736287857, + -0.0921140550607028, + -0.16071676432449253, + -0.22369231362194988, + -0.2802190879248694, + -0.32968814324871415, + -0.37172262824759905, + -0.40619077644482177, + -0.43321209733458255, + -0.4531565713995473, + -0.46663683620039986, + -0.4744935334927318, + -0.4777741661779591, + -0.477705984257608, + -0.47566357650245694, + -0.47313198525539735, + -0.4716662820633781, + -0.47284863859250387, + -0.47824399802023704, + -0.4893554949691994, + -0.5075807858936202, + -0.5341704362245256, + -0.5701894658330838, + -0.6164830815244053, + -0.6736475260735554, + -0.7420068501720186, + -0.8215962695807846, + -0.9121526083297028, + -1.013112153947887, + -1.1236160667861723, + -1.2425232970653182, + -1.3684307750407658, + -1.4997004563104053, + -1.6344926303892306, + -1.7708047405929657, + -1.9065148210360316, + -2.0394285357497846, + -2.1673287086310222, + -2.288026163605711, + -2.3994106538421547, + -2.4995006481667272, + -2.5864907623827817, + -2.658795672580859, + -2.715089425630664, + -2.7543391670244204, + -2.775832435593954, + -2.7791973252400877, + -2.764414982053886, + -2.7318240869951573, + -2.682117165205026, + -2.6163287584149724, + -2.5358156920069037, + -2.4422298583094975, + -2.3374841180366674, + -2.223712087966805, + -2.103222730952731, + -1.978450790508317, + -1.8519042134387238, + -1.7261097777751397, + -1.603558187820264, + -1.486649912301486, + -1.3776430251017715, + -1.278604261182855, + -1.191364424262136, + -1.1174791794014654, + -1.0581961354272515, + -1.014428972151885, + -0.9867391993595532, + -0.9753259525507418, + -0.9800240389437892, + -1.00031025087421, + -1.0353177672948999, + -1.0838582723422057, + -1.1444512375544236, + -1.2153596457368634, + -1.2946312837445195, + -1.3801446022399741, + -1.469658035888302, + -1.560861599972775, + -1.6514295308843028, + -1.7390727194713562, + -1.8215896982111155, + -1.8969149852039522, + -1.9631636589902197, + -2.0186711363186167, + -2.0620272477721766, + -2.0921038504920038, + -2.1080753795158924, + -2.109431915419905, + -2.0959845316318266, + -2.067862875367397, + -2.025505126903352, + -1.9696406681319332, + -1.9012659684486368, + -1.8216143596543135, + -1.7321205176943497, + -1.6343805941442624, + -1.530109041347131, + -1.4210932495832898, + -1.3091471608417307, + -1.196065040608552, + -1.0835765762669252, + -0.9733044286318921, + -0.8667252929670299, + -0.7651354293939985, + -0.6696215024065574, + -0.5810374283245037, + -0.49998777156823027, + -0.4268180596193898, + -0.3616122067973447, + -0.30419705307459194, + -0.2541538407253839, + -0.2108362732795461, + -0.17339463253224388, + -0.14080527448819616, + -0.11190468798970712, + -0.0854271838364985, + -0.060045190359519635, + -0.0344110659599935, + -0.007199301702136893, + 0.0228520214202287, + 0.05690163523983574, + 0.09596841259465214, + 0.14089860967654272, + 0.1923379092373764, + 0.25070902646016613, + 0.31619549476658254, + 0.3887320882990783, + 0.4680021653503066, + 0.5534420369814733, + 0.6442522820351142, + 0.7394157483465386, + 0.8377218047942384, + 0.9377962443532287, + 1.038136088712916, + 1.1371484141098198, + 1.23319220915712, + 1.3246221914309169, + 1.4098334525793743, + 1.4873057732634776, + 1.555646450110189, + 1.6136305071199204, + 1.660237222942633, + 1.6946819917221316, + 1.7164426467213274, + 1.7252795099613072, + 1.7212485843447063, + 1.704707473412229, + 1.6763137938296164, + 1.6370160324594627, + 1.5880369887971229, + 1.5308501299367558, + 1.4671493644290534, + 1.3988129089116548, + 1.327862073031191, + 1.2564159201129308, + 1.1866428699298714, + 1.12071039300241, + 1.0607340009804267, + 1.0087267633676624, + 0.9665505764139223, + 0.9358703754388866, + 0.9181124179211289, + 0.9144276728734438, + 0.9256612345079436, + 0.9523285377869842, + 0.9945989935435914, + 1.0522874853087627, + 1.1248539830657422, + 1.21141133541225, + 1.3107411057749103, + 1.4213171251682597, + 1.5413362482467858, + 1.668755625609205, + 1.8013356477393667, + 1.9366875784723308, + 2.0723247818356625, + 2.205716358338453, + 2.3343419474278835, + 2.4557464233742445 + ], + [ + 2.535604807058549, + 2.64075527197649, + 2.7328783901143407, + 2.810179866807182, + 2.8711468042625143, + 2.914579912145158, + 2.9396186030866907, + 2.9457584025763235, + 2.9328602857561923, + 2.9011517458351075, + 2.851219595470243, + 2.7839946987589896, + 2.7007290226586274, + 2.6029655780638854, + 2.4925019880201957, + 2.37134856958326, + 2.241681943054645, + 2.10579528466893, + 1.966046413835473, + 1.8248049519757856, + 1.6843998057916034, + 1.547068213136927, + 1.4149075449863746, + 1.2898309834664674, + 1.173528095427608, + 1.0674311961244953, + 0.9726882513797173, + 0.8901429027861602, + 0.8203220231420095, + 0.7634310228168996, + 0.719356936744277, + 0.6876791309496644, + 0.6676872816677062, + 0.6584061037503193, + 0.6586261425560119, + 0.666939798815277, + 0.681781632616889, + 0.7014718936447787, + 0.7242621524933902, + 0.7483818640099484, + 0.7720846791526966, + 0.7936933370778615, + 0.8116420135976975, + 0.8245150745826098, + 0.8310812814113232, + 0.8303226176552478, + 0.8214570486841887, + 0.8039546851631572, + 0.7775469934238656, + 0.7422288760774423, + 0.6982536304226138, + 0.6461209755436826, + 0.5865585168608759, + 0.5204971848120789, + 0.4490413380852056, + 0.3734343575217488, + 0.2950206710692795, + 0.2152052401115793, + 0.13541160090140794, + 0.05703959008456589, + -0.018576110433992373, + -0.09020549690864599, + -0.15675977450385326, + -0.21732391307436114, + -0.2711843495494678, + -0.3178510849646041, + -0.35707357003755924, + -0.38884993473075685, + -0.41342929038333787, + -0.4313070133511936, + -0.44321310208932974, + -0.4500938806086737, + -0.453087495645128, + -0.45349381826014284, + -0.45273950879011327, + -0.45233913329449377, + -0.45385332660971034, + -0.45884507904373123, + -0.4688352785149312, + -0.485258666098745, + -0.5094213597617918, + -0.542461068536753, + -0.5853110582587648, + -0.6386688417007781, + -0.7029704526493252, + -0.7783710279221817, + -0.8647322668764535, + -0.9616171684006142, + -1.0682922649233977, + -1.183737386084315, + -1.3066627960432573, + -1.4355333626635332, + -1.5685992386248604, + -1.703932368373735, + -1.8394679848731506, + -1.9730501301524774, + -2.1024801269762814, + -2.2255668482704944, + -2.3401775783511765, + -2.444288236888788, + -2.5360317435755735, + -2.6137433385685243, + -2.676001740133178, + -2.721665114969402, + -2.74990095622597, + -2.7602091063412026, + -2.75243732315362, + -2.7267889643028163, + -2.6838225524966566, + -2.624443178189456, + -2.5498858918648244, + -2.4616914306662876, + -2.3616748088570665, + -2.251887473993081, + -2.1345738865313577, + -2.012123516044478, + -1.8870193589395376, + -1.761784167836532, + -1.6389256394413259, + -1.520881834446237, + -1.4099680990345407, + -1.308326723032035, + -1.2178805054663535, + -1.1402913058175848, + -1.0769245408189718, + -1.02882044517366, + -0.9966727534391299, + -0.9808152835188534, + -0.9812167139991474, + -0.9974836525623992, + -1.028871895644219, + -1.0743055851774308, + -1.13240378140469, + -1.2015137958815978, + -1.2797504701725433, + -1.3650404471983733, + -1.455170367067782, + -1.5478378302735825, + -1.640703910476106, + -1.7314459681446837, + -1.8178095157708425, + -1.8976579151402244, + -1.969018746446308, + -2.030125776314792, + -2.079455564864456, + -2.115757887909292, + -2.138079305899555, + -2.1457793823238056, + -2.1385392367906872, + -2.1163623073464106, + -2.0795673880715926, + -2.0287741969061055, + -1.9648819103143955, + -1.8890412713576616, + -1.8026210318148979, + -1.7071696234274278, + -1.6043730648616787, + -1.4960101969007615, + -1.3839063966364742, + -1.269886950682486, + -1.1557312670342776, + -1.0431290752697102, + -0.9336397061594495, + -0.8286554559964863, + -0.7293699302913291, + -0.6367521287630535, + -0.5515268821821511, + -0.4741620854452369, + -0.40486299450287594, + -0.34357367189817245, + -0.28998548132762003, + -0.24355235046010515, + -0.20351234781137406, + -0.16891495813525997, + -0.13865329561614034, + -0.11150036877439953, + -0.0861484085719095, + -0.06125019429080426, + -0.03546126227529838, + -0.007481861800298204, + 0.02390246933292092, + 0.05978279960445449, + 0.10109219387389776, + 0.1485755321011313, + 0.2027645744821716, + 0.263958954197782, + 0.3322136247845726, + 0.40733312126276705, + 0.48887281684417566, + 0.57614717479039, + 0.6682448124144579, + 0.7640500159510714, + 0.8622701755874388, + 0.961468453658737, + 1.0601008598516861, + 1.1565567887844341, + 1.2492019805819372, + 1.3364227964934257, + 1.4166706609972544, + 1.4885055103047975, + 1.550637105076711, + 1.6019631121324678, + 1.6416029348680246, + 1.6689263731946384, + 1.6835763186133776, + 1.685484835485232, + 1.674882142064041, + 1.6522981804124648, + 1.6185566485692815, + 1.5747615567017594, + 1.5222765567694319, + 1.462697477758434, + 1.3978186712519522, + 1.329593930650045, + 1.2600928877501074, + 1.191453909099543, + 1.125834608516058, + 1.065361159026819, + 1.0120776254606292, + 0.9678965470039245, + 0.9345519769058157, + 0.9135561346408013, + 0.9061607453969907, + 0.9133240346475894, + 0.935684214340947, + 0.9735401450661674, + 1.0268396890959652, + 1.0951760865870763, + 1.1777924958732937, + 1.2735946433809198, + 1.381171334002125, + 1.4988223835387402, + 1.6245933557098964, + 1.7563163215914441, + 1.8916557132636616, + 2.028158219474327, + 2.1633055723283414, + 2.29456900282705, + 2.4194641012616525, + 2.535604807058548 + ], + [ + 2.6109317317111973, + 2.7084904043995306, + 2.7918179179102713, + 2.859292040198062, + 2.909592784570653, + 2.941730394920046, + 2.955065849590012, + 2.9493234205945593, + 2.924595013960928, + 2.881336212422181, + 2.8203541387707336, + 2.7427874521102034, + 2.650078975294755, + 2.543941625505571, + 2.4263184769738624, + 2.299337921520992, + 2.165265005555277, + 2.0264501087332794, + 1.8852761876039623, + 1.7441058358510186, + 1.605229410610304, + 1.4708154418925254, + 1.3428644802576466, + 1.223167448160644, + 1.1132694450941627, + 1.0144398186931913, + 0.9276491567934072, + 0.8535536829685905, + 0.792487354602173, + 0.7444617726251611, + 0.7091738203781869, + 0.6860207603630636, + 0.6741223365884565, + 0.6723492612351009, + 0.6793573116091711, + 0.6936261305469233, + 0.7135017138052663, + 0.7372414841642994, + 0.7630607959743883, + 0.7891796870013101, + 0.8138686972301897, + 0.8354926066137269, + 0.8525510046887994, + 0.8637146929221783, + 0.8678570332950997, + 0.8640794910990999, + 0.8517307727540578, + 0.8304191267828114, + 0.8000175536388654, + 0.7606618533894586, + 0.7127416246742393, + 0.656884509238259, + 0.5939341491208616, + 0.5249224839233128, + 0.45103715944953027, + 0.3735849428070128, + 0.29395213966855316, + 0.2135630843153462, + 0.13383782044297032, + 0.05615010934296982, + -0.01821310847215529, + -0.0880897115652461, + -0.15247683646092883, + -0.21056083124888036, + -0.2617419152655258, + -0.30565287425205023, + -0.3421712757241293, + -0.37142485799047886, + -0.39378992404825736, + -0.4098827539572276, + -0.4205442316273471, + -0.42681805961938857, + -0.4299231040426825, + -0.4312205666520847, + -0.43217681884636605, + -0.43432284893465767, + -0.4392113667705527, + -0.4483726762571771, + -0.4632704645608422, + -0.4852586660987448, + -0.5155405391789395, + -0.5551310439981544, + -0.6048235337018623, + -0.6651616672384449, + -0.736417326306337, + -0.8185751719033783, + -0.911324312460512, + -1.0140573793229808, + -1.1258771208025902, + -1.2456104377532613, + -1.3718295963110299, + -1.5028801717677387, + -1.6369151060638802, + -1.771934104396096, + -1.9058274578943513, + -2.0364232627377317, + -2.161536914415774, + -2.2790216914599823, + -2.3868192075539763, + -2.4830085054521587, + -2.5658525908279195, + -2.6338412585206363, + -2.685729146407393, + -2.720568061339105, + -2.737732754641624, + -2.736939478388105, + -2.718256824281329, + -2.682108530402332, + -2.6292681328207665, + -2.5608455344471284, + -2.478265757764128, + -2.3832403364521375, + -2.2777319788065373, + -2.1639132988709666, + -2.0441205553754043, + -1.9208034603277455, + -1.7964722154618609, + -1.6736430033157714, + -1.5547831988005423, + -1.442257575745047, + -1.338276760831054, + -1.244849135085868, + -1.1637373019341493, + -1.096420132691846, + -1.044061267940769, + -1.0074847996725877, + -0.987158688174872, + -0.9831862835104789, + -0.995306128599473, + -1.0229000240449846, + -1.065009138742043, + -1.1203577597408272, + -1.1873840944326026, + -1.2642773722645717, + -1.349020345885037, + -1.4394361664292323, + -1.5332385075892123, + -1.6280837405581623, + -1.7216239186128315, + -1.811559316987926, + -1.8956892910525787, + -1.9719602631198652, + -2.038509724269452, + -2.0937052403996708, + -2.1361775787524326, + -2.1648472191851305, + -2.1789436797997648, + -2.178017265063596, + -2.1619430318340056, + -2.1309169600919953, + -2.0854445059620805, + -2.0263219000449344, + -1.954610729649249, + -1.8716065048720536, + -1.7788020516951701, + -1.6778466968516579, + -1.5705023062263033, + -1.4585973086628365, + -1.3439798786047557, + -1.2284714630584237, + -1.1138218207342303, + -1.0016666944322596, + -0.8934891630568073, + -0.7905856190259425, + -0.6940371928892686, + -0.6046873028565147, + -0.5231258463479579, + -0.4496803776865595, + -0.38441443504479944, + -0.3271329953148614, + -0.2773948523446779, + -0.23453153659293324, + -0.1976722271685416, + -0.16577395463432226, + -0.1376562587014532, + -0.11203935238573404, + -0.08758475615511203, + -0.0629373042669841, + -0.036767392396307025, + -0.007812331602563737, + 0.02508430124562492, + 0.0629363729294064, + 0.10658293892515608, + 0.15666089405700853, + 0.21358327073477051, + 0.2775237796016327, + 0.3484080248809087, + 0.4259116529133364, + 0.5094655117208834, + 0.5982677164989394, + 0.6913023353660971, + 0.7873642360737539, + 0.8850894721094599, + 0.98299043985, + 1.0794949108792096, + 1.1729879385484503, + 1.2618555580296371, + 1.344529146567762, + 1.4195292867744982, + 1.4855079812922085, + 1.5412881019375118, + 1.5858990197102116, + 1.6186074523149445, + 1.6389426808986234, + 1.6467154247407338, + 1.6420298182736495, + 1.625288105212241, + 1.5971878455144404, + 1.5587116178832745, + 1.5111093889010572, + 1.4558739049579417, + 1.3947096402715726, + 1.3294959990506985, + 1.2622456180901878, + 1.195058744055136, + 1.1300747641710607, + 1.0694220473138691, + 1.015167302560005, + 0.9692656827809826, + 0.9335128512434094, + 0.9095001895460018, + 0.898574256472558, + 0.9018015110690173, + 0.9199391917512665, + 0.9534130994333008, + 1.002302870003642, + 1.066335143913355, + 1.144884852487587, + 1.2369846464182612, + 1.3413422964773165, + 1.4563657045852052, + 1.5801949796762678, + 1.7107408618236777, + 1.8457286240177848, + 1.9827464476196357, + 2.119297158117285, + 2.2528521250950746, + 2.380906076329832, + 2.501031551996892, + 2.6109317317111964 + ], + [ + 2.6810898974638078, + 2.770225540413602, + 2.844034923891082, + 2.901081615407351, + 2.9402497272453485, + 2.960767439555587, + 2.962222739090219, + 2.94457102146735, + 2.908134398309865, + 2.853592747661335, + 2.781966741951299, + 2.694593277700774, + 2.59309391051303, + 2.479337063333792, + 2.35539492150819, + 2.223496051294991, + 2.0859748762618118, + 1.9452192160432507, + 1.803617132645886, + 1.6635043399005685, + 1.5271134116097074, + 1.3965259739800318, + 1.2736289893683974, + 1.1600761331994396, + 1.057255136789982, + 0.9662618189715029, + 0.8878813625777616, + 0.8225772122104617, + 0.7704877816692383, + 0.7314309676886881, + 0.7049162759013132, + 0.6901641799423176, + 0.6861321598793158, + 0.6915467059718634, + 0.7049404320567116, + 0.7246933230624872, + 0.7490770461781459, + 0.7763011873065258, + 0.8045602352229076, + 0.8320801262072799, + 0.8571631819690247, + 0.8782303228351102, + 0.8938595151048793, + 0.9028195141732182, + 0.9040980908378471, + 0.8969240739120333, + 0.8807827041470022, + 0.8554239684169374, + 0.8208637647276797, + 0.7773779332879337, + 0.7254893719697867, + 0.6659486313718623, + 0.5997085509341203, + 0.5278936489628256, + 0.45176511220980675, + 0.37268234148695417, + 0.2920620959154298, + 0.2113363376643328, + 0.13190990995829294, + 0.05511918297467699, + -0.017807225011634006, + -0.08578459953191206, + -0.147904185789614, + -0.20346028687808063, + -0.2519716723398358, + -0.293196713493434, + -0.32714182546056564, + -0.35406297025814776, + -0.37446015625545054, + -0.38906505214671033, + -0.3988220137163413, + -0.4048629945028747, + -0.4084769726055859, + -0.41107467122079905, + -0.4141494763328627, + -0.41923555809403473, + -0.4278642801517068, + -0.4415200314992319, + -0.4615966370021287, + -0.48935549496919895, + -0.5258865531182343, + -0.5720731688830974, + -0.6285618077906316, + -0.695737416845217, + -0.7737051713585693, + -0.8622791368649444, + -0.9609782165441776, + -1.0690295731829336, + -1.1853795276472818, + -1.3087117477780172, + -1.4374723572500574, + -1.569901417873582, + -1.7040700754756488, + -1.8379225129984285, + -1.969321728486804, + -2.0960980534134546, + -2.216099250923021, + -2.3272409860375105, + -2.427556441925478, + -2.5152438685390988, + -2.5887108920619237, + -2.6466144847419106, + -2.687895593144722, + -2.7118075463099074, + -2.7179375107629604, + -2.706220423316771, + -2.676945011110528, + -2.63075169704136, + -2.5686223830441017, + -2.4918622988223653, + -2.402074294855855, + -2.30112614112103, + -2.191111562484702, + -2.074305894000626, + -1.9531173706111231, + -1.830035172796693, + -1.7075754298821575, + -1.5882264340126195, + -1.474394338975499, + -1.36835060852319, + -1.2721824388529277, + -1.1877473103812304, + -1.116632726588204, + -1.0601220748614952, + -1.0191673989262073, + -0.9943697081394632, + -0.9859672696564115, + -0.9938321396016108, + -1.0174749935286664, + -1.0560581193877632, + -1.1084162427387854, + -1.1730846687494365, + -1.248334053098852, + -1.3322109584463024, + -1.4225832183808405, + -1.5171890199879572, + -1.6136885320092171, + -1.7097168500293458, + -1.8029370044973936, + -1.8910917822311126, + -1.9720531471766805, + -2.043868110663934, + -2.1047999935559747, + -2.1533641402086627, + -2.1883572840780503, + -2.2088799236439223, + -2.2143512410980977, + -2.2045162806594787, + -2.179445293853455, + -2.139525350920298, + -2.085444505962081, + -2.0181689838609636, + -1.938914024972683, + -1.849109175005603, + -1.750358938645155, + -1.644399823194646, + -1.5330548801828838, + -1.4181869065973747, + -1.3016514918976378, + -1.1852510917355654, + -1.0706912745883497, + -0.9595402242583997, + -0.8531924910869418, + -0.7528378701029672, + -0.6594361481344844, + -0.5736983076236096, + -0.49607460643669665, + -0.4267497746179356, + -0.3656453853112544, + -0.3124292726107972, + -0.26653168854428594, + -0.2271677192911494, + -0.1933653214143718, + -0.16399819634036894, + -0.13782259912759737, + -0.11351707877846591, + -0.08972407443559748, + -0.06509224657423475, + -0.038318405871165064, + -0.008187915184867037, + 0.026387518325574188, + 0.06633567455735419, + 0.11239419356070302, + 0.16508628972335965, + 0.22470246692936027, + 0.2912887381106482, + 0.36464168310272616, + 0.444310500466141, + 0.5296060264634723, + 0.619616512314608, + 0.7132297738122129, + 0.8091611598625431, + 0.9059866327858759, + 1.00218011718503, + 1.0961541593478856, + 1.186302848439685, + 1.2710458865092031, + 1.348872658264132, + 1.4183851446434874, + 1.4783385466775545, + 1.527678537489621, + 1.565574139344129, + 1.5914453274713665, + 1.604984590438687, + 1.6061718249453034, + 1.5952821074357888, + 1.5728860617826308, + 1.5398427270891049, + 1.497285017811384, + 1.4465980551998838, + 1.3893908298445206, + 1.327461825346158, + 1.262759388548477, + 1.1973377684317987, + 1.1333098602302218, + 1.0727977806679592, + 1.01788246211805, + 0.970553486340656, + 0.9326603813491819, + 0.9058665777110511, + 0.891607163791607, + 0.8910514944028369, + 0.9050715960322001, + 0.9342171769619858, + 0.9786978953947116, + 1.0383733669311566, + 1.1127512085761089, + 1.2009932243573027, + 1.3019296423222815, + 1.4140811189000815, + 1.5356880391231773, + 1.6647464645959988, + 1.7990499197042158, + 1.936236064350171, + 2.07383718197561, + 2.209333317739445, + 2.3402068357791777, + 2.4639971281369952, + 2.578354202090689, + 2.681089897463807 + ], + [ + 2.7454857344871804, + 2.825438372832556, + 2.889087628557712, + 2.9351950337187778, + 2.9628582606791474, + 2.9715299840398037, + 2.96102872106361, + 2.931541412641797, + 2.8836177030599255, + 2.81815607381851, + 2.7363821797595267, + 2.6398199200543195, + 2.530255947747542, + 2.409698475378419, + 2.280331366995691, + 2.1444646154462066, + 2.0044823855472638, + 1.862789856708399, + 1.721760121517333, + 1.5836823892527687, + 1.4507127054892512, + 1.3248283319143532, + 1.2077868359009674, + 1.1010908196565712, + 1.005959076910083, + 0.9233048046378686, + 0.8537213222669768, + 0.7974755654714004, + 0.754509430685139, + 0.7244488545137499, + 0.706620324066491, + 0.7000743344828666, + 0.7036151430007362, + 0.7158360188911913, + 0.7351590591231532, + 0.7598785338552219, + 0.7882066463256313, + 0.8183205403081575, + 0.8484093662041957, + 0.8767202244995052, + 0.9016018424373337, + 0.9215449053237407, + 0.9352180561555028, + 0.941498693852812, + 0.9394978382934883, + 0.9285784860611077, + 0.908367050377289, + 0.8787576577904905, + 0.8399092583114789, + 0.7922356901728147, + 0.736389020598714, + 0.6732366553696801, + 0.6038328682483651, + 0.5293855425299157, + 0.45121903755628046, + 0.37073418997717217, + 0.28936653043531557, + 0.208543839442821, + 0.12964418044246553, + 0.05395553308326264, + -0.017361894010168886, + -0.083309663099521, + -0.14308050918373608, + -0.19608235378037178, + -0.24195628144863443, + -0.2805879874452504, + -0.3121123751970021, + -0.3369111609603228, + -0.3556035255872642, + -0.36903003509707616, + -0.3782302281492552, + -0.38441443504479833, + -0.3889305453102813, + -0.3932265753577562, + -0.39881000072473294, + -0.40720490608021376, + -0.41990806824058313, + -0.4383451212454051, + -0.46382795717735326, + -0.4975144916840271, + -0.5403718696201248, + -0.5931441051486561, + -0.6563250439845906, + -0.7301374058437362, + -0.8145185157639379, + -0.9091131674870355, + -1.0132738846302547, + -1.1260686603452157, + -1.24629606817042, + -1.3725074505221049, + -1.5030357113991073, + -1.636030070911548, + -1.769495985430972, + -1.9013393023838614, + -2.029413606389814, + -2.1515696264473783, + -2.2657055144414318, + -2.369816774951473, + -2.4620446260290905, + -2.5407216003912243, + -2.6044132557056474, + -2.6519549499585646, + -2.682482751225439, + -2.695457687803135, + -2.6906827013106427, + -2.6683118382336346, + -2.62885140027445, + -2.5731529662693644, + -2.5023983936522876, + -2.4180771007038215, + -2.32195611739324, + -2.216043567922563, + -2.1025464078098284, + -1.9838233785750745, + -1.8623342603610316, + -1.740586594236952, + -1.6210811092326862, + -1.5062571227548194, + -1.3984391860966894, + -1.299786219166646, + -1.212244320972118, + -1.1375043561939941, + -1.076965305451007, + -1.0317042303208364, + -1.002453547171754, + -0.9895861301833037, + -0.9931085778235369, + -1.0126627830324133, + -1.0475357501579015, + -1.0966774060999263, + -1.1587259638926948, + -1.2320402186938475, + -1.3147379931729506, + -1.4047398055473945, + -1.4998167124710602, + -1.5976411835498732, + -1.6958397967171521, + -1.7920465056416028, + -1.8839552226286183, + -1.9693704832294345, + -2.046255011365299, + -2.1127730848435347, + -2.167328708631023, + -2.2085977344534236, + -2.235553216922668, + -2.24748346468092, + -2.2440024258038647, + -2.2250522354485693, + -2.1908979457924884, + -2.1421146489495704, + -2.079567388071594, + -2.004384425714344, + -1.917924597509101, + -1.8217396193491375, + -1.7175323342719102, + -1.6071119781424137, + -1.4923476089009016, + -1.3751208809917645, + -1.257279353820476, + -1.1405915006127436, + -1.0267045325338244, + -0.9171060737482467, + -0.81309061832917, + -0.7157315722645, + -0.625859536522753, + -0.5440473239866888, + -0.4706020281788424, + -0.4055642795175419, + -0.34871463995607843, + -0.29958690393356685, + -0.257487897207833, + -0.22152319978129184, + -0.19062806892044204, + -0.16360270697210666, + -0.13915090957929774, + -0.11592104571863371, + -0.0925482638126604, + -0.0676967894255143, + -0.04010118042403359, + -0.00860543494014831, + 0.02780109476655989, + 0.06995194485832386, + 0.11847679193669913, + 0.1737804364403123, + 0.23602808963464092, + 0.3051373719471274, + 0.38077725535565426, + 0.46237400134531076, + 0.5491239632035331, + 0.6400129417643549, + 0.7338416117012719, + 0.8292563754789651, + 0.9247848581812912, + 1.0188751323101444, + 1.1099376604772733, + 1.1963888682953925, + 1.276695211683027, + 1.3494165835081229, + 1.4132479145643808, + 1.4670578631218816, + 1.509923554806666, + 1.54116042871923, + 1.5603463642044686, + 1.5673394026263312, + 1.5622885364275438, + 1.5456372097589193, + 1.5181193567748197, + 1.4807479907872978, + 1.4347965451860714, + 1.3817733506730634, + 1.3233898083285622, + 1.2615229799264422, + 1.1981734616687965, + 1.1354195314541249, + 1.0753686597742125, + 1.0201075477888046, + 0.9716519011412862, + 0.9318971634419704, + 0.9025714185794284, + 0.8851916263910143, + 0.8810242827372002, + 0.8910514944028366, + 0.9159433338880195, + 0.9560371920640026, + 1.0113246814098455, + 1.0814464631226175, + 1.165695182173671, + 1.263026499980878, + 1.3720780195320605, + 1.4911957072968263, + 1.6184672347720843, + 1.75176149447553, + 1.8887733947615373, + 2.0270729086883077, + 2.164157247499905, + 2.2975049516885755, + 2.424630643999807, + 2.54313917035112, + 2.6507778669343525, + 2.7454857344871795 + ], + [ + 2.803574424860649, + 2.8736617761100374, + 2.9265948656420995, + 2.961343680176931, + 2.9772271064487223, + 2.973926972376252, + 2.951493897442989, + 2.9103448305045303, + 2.8512523505468543, + 2.7753260011896925, + 2.683986118218808, + 2.578930786561755, + 2.4620967245977896, + 2.335615035605375, + 2.201762885074188, + 2.0629122556840525, + 1.9214769967588516, + 1.7798594204084073, + 1.6403977015731712, + 1.505315313729944, + 1.3766736767944285, + 1.2563291101909189, + 1.145895074267605, + 1.046710549975771, + 0.9598152533327816, + 0.8859322114718217, + 0.825458045259677, + 0.7784611140414439, + 0.7446874857294862, + 0.7235745049372486, + 0.7142715478551523, + 0.715667379592902, + 0.7264233720043708, + 0.7450117014147473, + 0.7697575295494288, + 0.7988840801203312, + 0.8305594601241291, + 0.8629440404288268, + 0.8942372054281926, + 0.922722306446559, + 0.9468087074588311, + 0.9650698931116929, + 0.9762767158684288, + 0.9794249885983426, + 0.9737567777799803, + 0.9587749168957569, + 0.9342504353937506, + 0.9002227813327556, + 0.8569929008963599, + 0.8051094206976432, + 0.7453483546014736, + 0.6786869212508225, + 0.6062722074728428, + 0.5293855425299158, + 0.449403555527622, + 0.3677569705209883, + 0.2858882489319294, + 0.20520921544938475, + 0.12705980099244635, + 0.05266900467336574, + -0.016880883169546907, + -0.08068584135021245, + -0.1380466171301194, + -0.18848945260831332, + -0.2317804773308773, + -0.2679333716353806, + -0.29721008088357204, + -0.320114542164946, + -0.33737956767187394, + -0.34994720811851365, + -0.35894309074987546, + -0.36564538531125335, + -0.3714491937765462, + -0.37782728203031296, + -0.38628817092681345, + -0.39833267765316366, + -0.4154100441901769, + -0.43887480667310735, + -0.4699455471081494, + -0.5096666274390337, + -0.5588739363523249, + -0.6181655831393168, + -0.6878783527425303, + -0.7680705947609029, + -0.8585120601605243, + -0.9586810266779484, + -1.067768871702675, + -1.1846920643219527, + -1.3081113608741306, + -1.4364578054724244, + -1.5679649631143227, + -1.7007066525533787, + -1.8326393031260657, + -1.9616479378177685, + -2.085594687124432, + -2.2023686672304628, + -2.30993601353455, + -2.4063888477618938, + -2.4899919742212147, + -2.5592261478682623, + -2.6128268326572632, + -2.649817471418277, + -2.6695364157415207, + -2.67165681302015, + -2.656198914305578, + -2.6235344469223296, + -2.5743828854833755, + -2.5097996494124, + -2.431156449562276, + -2.340114196255764, + -2.238589061411506, + -2.1287124539262994, + -2.012785816066655, + -1.8932312756186185, + -1.7725392908176707, + -1.6532145000990812, + -1.5377210346052679, + -1.4284285670071486, + -1.3275603551275674, + -1.2371444934351126, + -1.158969510788205, + -1.0945453506517793, + -1.0450706428550929, + -1.011407026893904, + -0.9940611194263556, + -0.9931745370382119, + -1.008522193977676, + -1.0395188980384993, + -1.085234070883447, + -1.1444142266354516, + -1.215512659197401, + -1.2967256189438399, + -1.386034107273746, + -1.4812502867016955, + -1.5800673978471378, + -1.6801119954062271, + -1.7789972648397168, + -1.8743761612538599, + -1.9639931222199525, + -2.0457331467509294, + -2.117667102270672, + -2.178092218397253, + -2.2255668482704953, + -2.2589387219331556, + -2.2773660783380185, + -2.2803312388706494, + -2.267646371477142, + -2.2394513859607277, + -2.196204093033316, + -2.1386629475468135, + -2.0678628753673993, + -1.985084849204581, + -1.8918200273126697, + -1.7897293967283765, + -1.680599966502642, + -1.5662986337370448, + -1.4487248943156523, + -1.3297635899102287, + -1.2112388727400252, + -1.0948705300395531, + -0.9822337423126637, + -0.8747232550167883, + -0.773522824773327, + -0.6795806615810457, + -0.5935914313819, + -0.5159852126845439, + -0.4469236211129297, + -0.3863031312604737, + -0.3337654407462259, + -0.28871454153341775, + -0.2503399929023878, + -0.21764573325258837, + -0.1894836280814718, + -0.16459083254855192, + -0.1416299519490656, + -0.11923091455811628, + -0.09603343036621056, + -0.07072889720973187, + -0.04210063297548068, + -0.009061358462348028, + 0.029313071072240668, + 0.07375458854918826, + 0.12477927251847631, + 0.18266977779249483, + 0.2474643189576231, + 0.3189525154022355, + 0.39667822739700354, + 0.4799493301595805, + 0.5678541913642777, + 0.6592844418255456, + 0.75296346355777, + 0.8474798683057166, + 0.9413251068025666, + 1.0329342378428044, + 1.1207287996107125, + 1.2031606658236176, + 1.2787557377037893, + 1.3461563204460418, + 1.4041610598282706, + 1.4517613703126384, + 1.4881733690763659, + 1.5128644388747317, + 1.525573673815931, + 1.5263256127850906, + 1.5154368316657296, + 1.493515143541959, + 1.46145134129539, + 1.4204036048188062, + 1.371774880762104, + 1.3171837216544058, + 1.258429238917895, + 1.1974509764823444, + 1.1362846445785248, + 1.0770147634603189, + 1.0217253514616578, + 0.9724498487463578, + 0.931121495849008, + 0.8995253838478561, + 0.8792533607121645, + 0.871662916726989, + 0.8778410823453102, + 0.8985742564725572, + 0.934324744814698, + 0.985214629855884, + 1.0510174201052251, + 1.131157740693447, + 1.2247191347319848, + 1.3304598497761604, + 1.4468362910339005, + 1.572033637354965, + 1.704002942078723, + 1.8405038827873295, + 1.9791521857963217, + 2.117470636224953, + 2.25294249556789, + 2.383066088043349, + 2.5054092861372066, + 2.6176626254828936, + 2.7176898095512225, + 2.8035744248606482 + ], + [ + 2.8548645119782243, + 2.914487758432981, + 2.956239306946293, + 2.979306325400378, + 2.983234697616886, + 2.9679381249589563, + 2.9336989371507434, + 2.8811606077319922, + 2.8113121662984004, + 2.725464891570149, + 2.625221851719265, + 2.5124410268450723, + 2.389192898934017, + 2.2577135234382784, + 2.1203542006533778, + 1.9795289418749757, + 1.837660973046088, + 1.6971295361608214, + 1.5602182357030403, + 1.4290661342525213, + 1.3056227292110376, + 1.1916078432217576, + 1.0884773367780705, + 0.9973954058458889, + 0.9192140636858582, + 0.8544602285228374, + 0.8033306516686213, + 0.7656947287838265, + 0.7411050449010861, + 0.7288153163522494, + 0.7278052144518282, + 0.7368113910548593, + 0.7543638789520085, + 0.7788269140662369, + 0.8084431246197474, + 0.8413799572862034, + 0.8757771636040386, + 0.9097941526651502, + 0.9416560286377313, + 0.9696971736189932, + 0.9924013064990973, + 1.0084370451070026, + 1.0166881194032316, + 1.0162775247944196, + 1.0065850631669213, + 0.9872578909470798, + 0.9582138740467834, + 0.9196377343854861, + 0.8719701571356192, + 0.8158902072767505, + 0.7522915739582575, + 0.6822533172996615, + 0.6070059306939006, + 0.5278936489628258, + 0.4463340259233087, + 0.3637758717422088, + 0.28165667924073023, + 0.20136067811194264, + 0.12417863662782758, + 0.05127048235749469, + -0.016368262059139604, + -0.07793533300327829, + -0.1328450986333994, + -0.18074582274164744, + -0.2215303518940038, + -0.2553399298398551, + -0.28256102267353117, + -0.3038152208675827, + -0.31994246543967825, + -0.3319780205623385, + -0.34112377942812944, + -0.3487146399560768, + -0.3561808181487572, + -0.3650070762282784, + -0.37668992728538725, + -0.39269393588010615, + -0.4144082633193336, + -0.44310460640393545, + -0.4798976492154621, + -0.5257090896668278, + -0.581236217458001, + -0.6469259098289315, + -0.7229547787943253, + -0.8092160516535136, + -0.9053135992554314, + -1.0105633479192178, + -1.1240021255115458, + -1.2444038045881116, + -1.3703024204104033, + -1.5000217636882325, + -1.6317107815453735, + -1.7633839696519018, + -1.8929658075205524, + -2.0183381809544114, + -2.137389653325417, + -2.2480653928908585, + -2.348416538165522, + -2.4366477881837447, + -2.5111620392898275, + -2.5706009541251524, + -2.6138804402485745, + -2.640220133156719, + -2.6491661185494415, + -2.640606288131635, + -2.6147778981899226, + -2.572267086375351, + -2.5140002950197204, + -2.4412277441987746, + -2.3554992898584146, + -2.2586331869284324, + -2.1526784499282803, + -2.03987165987442, + -1.9225892024784614, + -1.8032960353156562, + -1.684492168056058, + -1.5686580978358107, + -1.458200469952115, + -1.3553992315690555, + -1.2623575130511635, + -1.1809554086739815, + -1.1128087373024673, + -1.0592337463806445, + -1.0212185820785218, + -0.9994021881062797, + -0.9940611194263556, + -1.0051045691584237, + -1.0320777119514237, + -1.0741732697343882, + -1.130251010853284, + -1.198864705891451, + -1.2782958875143535, + -1.3665936017428262, + -1.4616191980140925, + -1.5610950886172517, + -1.6626563173969426, + -1.7639037151702535, + -1.8624573865674108, + -1.9560092707250434, + -2.042373546423298, + -2.1195337101077127, + -2.1856852412894003, + -2.2392728818979784, + -2.279021691459987, + -2.303961195114224, + -2.3134421125959905, + -2.3071453391796792, + -2.285083039638527, + -2.247591908866931, + -2.1953188431692223, + -2.129199449667807, + -2.050429993323325, + -1.960433537482105, + -1.8608211708597033, + -1.7533493281114798, + -1.6398742998807618, + -1.5223050893404582, + -1.4025558043320272, + -1.2824987765597256, + -1.1639195719597808, + -1.048475000116018, + -0.9376551469333974, + -0.8327503458889338, + -0.7348238718575262, + -0.6446909911154571, + -0.5629048354828986, + -0.48974939187704086, + -0.42523971527733756, + -0.3691292878767535, + -0.3209242646716012, + -0.2799041705160552, + -0.24514845013283776, + -0.21556812482644516, + -0.1899416813848242, + -0.166954213080196, + -0.14523875241667356, + -0.12341868230879917, + -0.10015008801014909, + -0.07416291692298856, + -0.04429984725215863, + -0.009551828432160637, + 0.030910655238893366, + 0.07771143354360707, + 0.13124831346840826, + 0.19167910592959492, + 0.25891439922328163, + 0.33261728611091945, + 0.4122100698080323, + 0.4968877916742544, + 0.5856382447399429, + 0.6772679668872106, + 0.7704335498622656, + 0.8636774593472588, + 0.9554674406618194, + 1.0442384873883865, + 1.1284362788280884, + 1.2065609485529984, + 1.2772100315889554, + 1.3391194523786785, + 1.391201459338073, + 1.4325784835007314, + 1.4626119967120683, + 1.4809255666888, + 1.4874214490012585, + 1.4822902161359697, + 1.46601309728278, + 1.4393568850506075, + 1.403361452397868, + 1.359320109995065, + 1.3087532163381366, + 1.2533756256325446, + 1.195058717424721, + 1.1357878931559087, + 1.0776165446752546, + 1.0226175952160672, + 0.9728337819547523, + 0.9302278892398719, + 0.8966341518102058, + 0.8737120274620751, + 0.8629034890684887, + 0.8653949077245437, + 0.8820844939316671, + 0.9135561346408013, + 0.9600603137581151, + 1.0215026360109702, + 1.0974402929503226, + 1.1870866197407905, + 1.2893236969037636, + 1.4027227570899423, + 1.525571968022399, + 1.6559109836066317, + 1.7915714902539306, + 1.930222828769898, + 2.0694216473395515, + 2.206664441279709, + 2.339441762805126, + 2.4652928408733468, + 2.581859338326147, + 2.686936991379652, + 2.778523924628765, + 2.854864511978225 + ], + [ + 2.898922058493856, + 2.947570913516963, + 2.9777701470825937, + 2.9889309972823366, + 2.980830207243889, + 2.953614110147052, + 2.907794393603259, + 2.8442356560548534, + 2.764135062346449, + 2.668994592509677, + 2.5605865525466225, + 2.440913174358441, + 2.312161270110706, + 2.176653020920899, + 2.036794068041319, + 1.895020134585192, + 1.7537434358967763, + 1.6153001362220851, + 1.4819000784698322, + 1.355579953382035, + 1.238160985906562, + 1.131212102212143, + 1.0360194034733472, + 0.9535626157016266, + 0.8844990124059784, + 0.8291551230079016, + 0.7875263492563526, + 0.7592844190946841, + 0.7437924172704197, + 0.7401269491226864, + 0.7471068229130529, + 0.7633274809639957, + 0.7872002745116452, + 0.8169955648450659, + 0.8508885466943781, + 0.8870066310024062, + 0.9234771945326705, + 0.9584745038676856, + 0.9902646511311916, + 1.0172473973841483, + 1.0379939055393599, + 1.051279455579919, + 1.0561103679996335, + 1.0517445133088572, + 1.0377049523049662, + 1.0137864293659067, + 0.9800546248018004, + 0.9368382576604891, + 0.8847143126641839, + 0.8244868395773145, + 0.7571599358914634, + 0.6839056701918114, + 0.6060278302810748, + 0.524922483923313, + 0.4420364183527713, + 0.3588245755379705, + 0.2767076223561128, + 0.1970307877978534, + 0.12102506330287563, + 0.0497717982672805, + -0.01582836768550477, + -0.07508140860395321, + -0.12751996089377302, + -0.17291697879307955, + -0.21129262583744687, + -0.2429142082748614, + -0.26828913822811407, + -0.2881510967019358, + -0.3034397446659423, + -0.31527449988642803, + -0.3249230536211315, + -0.33376544074622505, + -0.34325459579374573, + -0.35487442269394964, + -0.37009647528491557, + -0.39033638706800206, + -0.4169112011475318, + -0.4509987344181589, + -0.49360006421208447, + -0.5455061518776636, + -0.6072695179199462, + -0.6791817598395063, + -0.7612575597033091, + -0.8532256673377258, + -0.9545271708499671, + -1.0643211832961181, + -1.1814978872837991, + -1.3046986928011624, + -1.4323430822737786, + -1.5626615453199977, + -1.6937338482230142, + -1.8235317437426404, + -1.9499651090892005, + -2.0709304066842256, + -2.1843602961412185, + -2.288273188451464, + -2.380821525683326, + -2.460337591888731, + -2.5253757129048813, + -2.5747497831538038, + -2.6075651644825957, + -2.6232441329984284, + -2.6215442015811172, + -2.60256881462867, + -2.5667700935032376, + -2.514943501661671, + -2.448214492922242, + -2.368017399975752, + -2.276067008347055, + -2.1743234389313333, + -2.0649511255917075, + -1.9502728190855432, + -1.8327196712106357, + -1.7147785504953321, + -1.5989378105765542, + -1.487632772872496, + -1.383192195233658, + -1.2877869776644972, + -1.203382305416081, + -1.1316943499661836, + -1.0741525415465927, + -1.0318682955314074, + -1.0056109223486442, + -0.9957912803263581, + -1.002453547171753, + -1.0252752930737972, + -1.0635758414037288, + -1.116332706454243, + -1.1822057063848586, + -1.2595681681742963, + -1.346544474322256, + -1.4410530523406884, + -1.5408537813236645, + -1.643598688139673, + -1.746884731489171, + -1.848307426976543, + -1.9455140515042817, + -2.0362551810096234, + -2.11843336138233, + -2.1901477871386326, + -2.2497339641868264, + -2.2957974592479293, + -2.327240986037511, + -2.343284243500616, + -2.3434761001221704, + -2.3276989061858715, + -2.296164908185188, + -2.2494049316597637, + -2.1882496858146374, + -2.1138042207868906, + -2.0274162320099385, + -1.9306390517989331, + -1.8251902925029362, + -1.7129072053411232, + -1.5956998919744751, + -1.4755035502455547, + -1.3542309503430496, + -1.2337263226487716, + -1.1157217941765714, + -1.0017974380195083, + -0.8933459014849885, + -0.7915424561688724, + -0.6973211702349111, + -0.6113577432676371, + -0.5340593713129045, + -0.46556182848005595, + -0.4057337663275143, + -0.35418804785266406, + -0.31029975389249664, + -0.27323033060702456, + -0.2419571917002139, + -0.2153079520102764, + -0.19199835349228137, + -0.17067285329829937, + -0.14994677889716387, + -0.128448918560524, + -0.10486340795799942, + -0.07796979520459858, + -0.04668021690613043, + -0.010072695251701331, + 0.032580330981553024, + 0.08178900314243383, + 0.1378291837727826, + 0.20073219785880522, + 0.2702814575713486, + 0.3460160739296016, + 0.4272413761737044, + 0.5130460788401772, + 0.6023256621915904, + 0.6938113681896861, + 0.7861040657793148, + 0.8777121096538864, + 0.9670922092151183, + 1.0526922418805018, + 1.1329948893675477, + 1.2065609485529984, + 1.272071170711698, + 1.3283655143941044, + 1.3744787571782209, + 1.4096714985889494, + 1.4334556984906341, + 1.4456140294726316, + 1.4462124748464713, + 1.435605772060875, + 1.414435480436082, + 1.3836206376585936, + 1.3443411568283006, + 1.298014300322893, + 1.2462647437128243, + 1.190888907973332, + 1.1338143871363746, + 1.0770554275349544, + 1.0226655206317858, + 0.9726882513797157, + 0.9291075960552229, + 0.8937988861524268, + 0.8684816475611492, + 0.8546754869603332, + 0.8536601309609098, + 0.8664406295761458, + 0.8937186163140843, + 0.9358703754388845, + 0.9929323061595247, + 1.0645941975766784, + 1.150200541434267, + 1.2487599166397878, + 1.3589622848591363, + 1.4792038450270115, + 1.6076189110419137, + 1.7421181057475854, + 1.8804320097549245, + 2.020159269541916, + 2.158818058899154, + 2.293899703901155, + 2.4229232262694227, + 2.543489534641598, + 2.65333399853105, + 2.7503761755589013, + 2.8327655280256603, + 2.8989220584938558 + ], + [ + 2.935374317627761, + 2.972631342899679, + 2.9910052254006354, + 2.990136266743473, + 2.970033978406331, + 2.9310761155875373, + 2.873999430960884, + 2.799882377273031, + 2.7101201783383124, + 2.606392868291424, + 2.4906270645796824, + 2.364952387100614, + 2.2316535605649026, + 2.0931193365848313, + 1.9517894437712908, + 1.810100816565034, + 1.670434365648309, + 1.535063534343896, + 1.4061058369231014, + 1.285478497461517, + 1.1748592037561367, + 1.075652862460394, + 0.9889650922066792, + 0.9155830247821629, + 0.8559638045357053, + 0.8102309875703588, + 0.7781788495728044, + 0.7592844190946838, + 0.7527268664511924, + 0.7574137017167503, + 0.7720130728971708, + 0.7949913112010131, + 0.8246547479182114, + 0.8591947296941381, + 0.8967346882958015, + 0.9353780789630002, + 0.9732559890638637, + 1.008573236237155, + 1.0396518219666315, + 1.0649706813322606, + 1.0832007705608575, + 1.0932346583514394, + 1.0942099315957432, + 1.0855258873698321, + 1.0668531568500996, + 1.038136088712917, + 0.9995879050243643, + 0.9516788269475329, + 0.8951175461594892, + 0.8308265862000529, + 0.7599122518561788, + 0.6836300002741063, + 0.6033461814064532, + 0.5204971848120792, + 0.4365470925207458, + 0.3529449721146477, + 0.27108294953879475, + 0.19225617733847106, + 0.11762576167492783, + 0.0481856319482885, + -0.01526576779934829, + -0.07214821364407063, + -0.12211625698616914, + -0.165069156325006, + -0.20115391495626647, + -0.23076133416754255, + -0.2545151741478272, + -0.27325469524654356, + -0.28801102583597615, + -0.29997796543412775, + -0.31047797880011885, + -0.3209242646716013, + -0.332779888401816, + -0.34751504826130236, + -0.3665635985128934, + -0.3912799771466038, + -0.4228976816881522, + -0.46249040282064496, + -0.510936863466733, + -0.5688903219669662, + -0.636753584236055, + -0.7146602340840169, + -0.8024626366107901, + -0.8997271005502724, + -1.0057364058590574, + -1.119499717195669, + -1.23976971685772, + -1.3650666069230817, + -1.49370845439118, + -1.6238471894702975, + -1.7535094199374015, + -1.8806410974396224, + -2.003154967948261, + -2.118979660979284, + -2.226109222679157, + -2.3226518777676115, + -2.4068768152301443, + -2.4772578324177488, + -2.532512740955836, + -2.5716375339832664, + -2.593934435450001, + -2.599033095586472, + -2.5869043587531544, + -2.557866206749243, + -2.5125816679969515, + -2.4520486762471854, + -2.377582056845099, + -2.290788009383502, + -2.1935316380732996, + -2.0878982508830983, + -1.9761493012627407, + -1.860673978296659, + -1.7439375591641313, + -1.628427719133824, + -1.5166000469572039, + -1.4108240361227042, + -1.3133308143956477, + -1.2261638355564004, + -1.1511336891654844, + -1.0897780881592696, + -1.043327972428794, + -1.0126805222012594, + -0.9983797115293216, + -1.000604853467912, + -1.019167398926206, + -1.0535160553326557, + -1.1027500939063586, + -1.1656405202860591, + -1.2406585972442175, + -1.3260110347244443, + -1.4196810056938758, + -1.5194740100920987, + -1.6230674967736232, + -1.728063067483695, + -1.8320400296268105, + -1.9326090372301183, + -2.0274645626813945, + -2.114434975394904, + -2.191529066645053, + -2.25697795079879, + -2.3092713897848607, + -2.3471877269450623, + -2.369816774951474, + -2.376575176309099, + -2.367213939791553, + -2.341818047411764, + -2.300798219494622, + -2.2448751153459963, + -2.175056429239611, + -2.092607511506816, + -1.9990162982617912, + -1.8959534669861047, + -1.785228845596423, + -1.6687451870762047, + -1.5484504782638069, + -1.4262899786510155, + -1.3041591824807022, + -1.183858865207241, + -1.0670533144001868, + -0.9552327570471978, + -0.8496808822340826, + -0.751448223250409, + -0.6613320097313751, + -0.579862932397837, + -0.5072990845515102, + -0.4436271602249247, + -0.38857080341811806, + -0.3416058208397937, + -0.3019817965777469, + -0.2687494855119032, + -0.2407932170949164, + -0.2168674159838359, + -0.19563624402715946, + -0.175715291823913, + -0.15571419935610625, + -0.13427906523839442, + -0.11013351339020115, + -0.08211732414166743, + -0.049221602932994456, + -0.010619552151981869, + 0.03430797208789985, + 0.08595279926174208, + 0.14446620629094808, + 0.2097524603258338, + 0.2814693235445467, + 0.35903551905031816, + 0.4416449748404224, + 0.5282874852362167, + 0.6177752606164407, + 0.708774681071983, + 0.7998424316532736, + 0.8894650797332536, + 0.9761010616602371, + 1.0582239787307814, + 1.1343660633211319, + 1.2031606658236182, + 1.2633826321603985, + 1.3139854896738796, + 1.3541344349760962, + 1.38323421903517, + 1.4009511498883864, + 1.4072285788097294, + 1.4022953979201838, + 1.3866672520816234, + 1.361140351103284, + 1.326777955239793, + 1.2848897929941945, + 1.2370048506932987, + 1.1848381436409336, + 1.1302522345837125, + 1.075214402800457, + 1.0217504828553645, + 0.9718964829771478, + 0.9276491567934059, + 0.8909167370820933, + 0.8634710453344541, + 0.8469021660269385, + 0.8425768200894032, + 0.8516014893816828, + 0.8747912350017358, + 0.912645019552706, + 0.96532819029235, + 1.0326626100884715, + 1.1141247404430092, + 1.2088517899806108, + 1.315655847391202, + 1.4330457246321804, + 1.5592560489753327, + 1.6922829658278535, + 1.829925652515366, + 1.9698327003768825, + 2.10955230211777, + 2.2465850863810175, + 2.378438374293107, + 2.5026805950040774, + 2.6169945899344165, + 2.719228558783946, + 2.8074434538159263, + 2.879955711232578, + 2.935374317627761 + ], + [ + 2.96391288677283, + 2.9894570240085767, + 2.995832567148905, + 2.982911936658756, + 2.9509373520855275, + 2.9005148229129447, + 2.832599969899968, + 2.7484760201951044, + 2.649724504634712, + 2.538189357829878, + 2.4159352767436726, + 2.2852013277044394, + 2.1483509019495175, + 2.00781920319898, + 1.86605950542965, + 1.7254894436713821, + 1.588438594732772, + 1.4570985684856204, + 1.3334767646436192, + 1.219354856529326, + 1.116252944481138, + 1.0254001802756534, + 0.9477125037437009, + 0.8837779576126379, + 0.8338498608459511, + 0.7978479289592801, + 0.7753672366950924, + 0.7656947287838265, + 0.7678328029604513, + 0.7805293203851512, + 0.8023132462591108, + 0.8315349914340591, + 0.8664104173783456, + 0.905067384583491, + 0.9455936703204542, + 0.9860850568299093, + 1.024692396070723, + 1.0596664918277774, + 1.0893997033308338, + 1.1124632648860966, + 1.1276394310291682, + 1.1339476934211712, + 1.1306644706432876, + 1.1173358412665424, + 1.0937830698021571, + 1.0601008598516877, + 1.0166484543248822, + 0.9640338843150148, + 0.9030918415586476, + 0.8348558100197693, + 0.7605252360139046, + 0.6814286398387919, + 0.5989836720329753, + 0.5146551916620757, + 0.4299124906077193, + 0.3461868055777526, + 0.2648302480660041, + 0.18707724209881774, + 0.1140094913739581, + 0.0465254030853258, + -0.014685222250286399, + -0.06916056428027703, + -0.11667970469085, + -0.15726875146668673, + -0.19119999733233645, + -0.21898412633208472, + -0.2413556644015796, + -0.25925204679841723, + -0.2737868428926565, + -0.28621783280866503, + -0.29791076683454826, + -0.31029975389249564, + -0.3248453167373631, + -0.34299121656819254, + -0.36612118670545724, + -0.39551672291686785, + -0.4323170566069083, + -0.4774823868966704, + -0.5317613698127225, + -0.5956637592743234, + -0.6694389678636017, + -0.7530611686161622, + -0.8462213959206211, + -0.948326928124037, + -1.0585080509820832, + -1.1756321142525092, + -1.2983246081868092, + -1.4249968070836054, + -1.5538793579463466, + -1.6830610379028006, + -1.8105317683030764, + -1.9342288597682937, + -2.0520853738231, + -2.1620794254057136, + -2.2622832181291166, + -2.3509106015711514, + -2.4263619672662573, + -2.487265356879427, + -2.532512740955836, + -2.561290537649833, + -2.57310357528638, + -2.5677918572529745, + -2.5455396588105836, + -2.5068766687841744, + -2.4526710802713905, + -2.384114728815133, + -2.3027005691590468, + -2.2101929680131316, + -2.1085914656173457, + -2.0000888189824595, + -1.8870242805584876, + -1.77183318424478, + -1.6569940031812243, + -1.544974108338648, + -1.438175491936491, + -1.3388817242556892, + -1.2492073863326085, + -1.1710511649117894, + -1.1060537112356235, + -1.0555612537954513, + -1.0205958197520864, + -1.0018327636351405, + -0.9995861289362455, + -1.013802182523997, + -1.0440612679407695, + -1.0895879263072004, + -1.1492690375565893, + -1.2216795448127815, + -1.3051151455244565, + -1.3976311688251406, + -1.4970867134791512, + -1.6011929982085935, + -1.707564779129132, + -1.8137736197794996, + -1.9174017594544044, + -2.0160953161613206, + -2.1076155816911615, + -2.1898872174436255, + -2.2610422394687615, + -2.319458787662626, + -2.3637938045219515, + -2.3930089000702974, + -2.406388847761897, + -2.403552337183796, + -2.3844547987390396, + -2.349383308533599, + -2.2989437736565512, + -2.2340407842214094, + -2.1558506943647853, + -2.065788655579711, + -1.9654704683695081, + -1.8566702387865417, + -1.7412749220637542, + -1.621236903974786, + -1.498525810169352, + -1.3750807436419248, + -1.2527641305588328, + -1.1333183054903715, + -1.0183258899922727, + -0.9091749154708709, + -0.8070295150021892, + -0.7128068624868816, + -0.627160874930059, + -0.5504730188575802, + -0.4828503793338855, + -0.4241309643306361, + -0.37389603298169183, + -0.3314890581721945, + -0.29604076641015364, + -0.2664995452078013, + -0.241666374068811, + -0.22023332297624248, + -0.20082457478936921, + -0.18203886734538063, + -0.16249221880663076, + -0.1408597966633444, + -0.11591581683004794, + -0.08657041376260925, + -0.05190250405697316, + -0.01118777247617031, + 0.03607896193240765, + 0.09016759430222326, + 0.1511032288091141, + 0.2186635778284943, + 0.2923833427341757, + 0.37156547107598187, + 0.45529900484576336, + 0.5424830616674476, + 0.6318563294207964, + 0.7220313091361404, + 0.8115324146921667, + 0.8988369341402096, + 0.9824177790289378, + 1.060786896942332, + 1.1325381999367303, + 1.196388868295393, + 1.2512179249028086, + 1.2961010397341712, + 1.3303406149034396, + 1.3534903161874232, + 1.3653733540949746, + 1.3660939729823152, + 1.3560417765658952, + 1.3358886982221716, + 1.3065786101948627, + 1.2693097526090757, + 1.2255103463356358, + 1.1768079286572393, + 1.1249931129549262, + 1.0719786191589709, + 1.0197545468012457, + 0.9703409639749022, + 0.9257389607431504, + 0.8878813625777604, + 0.8585843169838386, + 0.8395009540427782, + 0.8320782793861801, + 0.8375183870457235, + 0.8567449813701155, + 0.8903760741007214, + 0.9387035777118389, + 1.0016803527577258, + 1.0789150891955503, + 1.1696752138044868, + 1.2728978224866612, + 1.3872084421501225, + 1.5109472367992767, + 1.6422020910654678, + 1.7788478361658082, + 1.91859073233095, + 2.0590171918228695, + 2.1976456209910578, + 2.3319801810176126, + 2.4595652170498647, + 2.578039085578975, + 2.685186120722607, + 2.7789855212874657, + 2.8576560111534346, + 2.9196952239457845, + 2.963912886772831 + ], + [ + 2.9842963167202425, + 2.9979056039677654, + 2.992211330831814, + 2.9673191281297484, + 2.923701894381476, + 2.8621887944884454, + 2.7839462685945615, + 2.6904515058636016, + 2.5834590159645425, + 2.464961093685994, + 2.3371431153621147, + 2.2023347262201844, + 2.0629580724513303, + 1.92147429849054, + 1.7803295670880157, + 1.641901866406009, + 1.5084498444756298, + 1.3820648575379775, + 1.264627336447908, + 1.1577684665090442, + 1.062838043554674, + 0.9808792160888078, + 0.9126106536498185, + 0.8584164994532663, + 0.8183442753070068, + 0.792110713453914, + 0.7791152981404316, + 0.7784611140414429, + 0.7889824237398118, + 0.8092782365340149, + 0.8377509898212386, + 0.8726493455921586, + 0.912114011033754, + 0.9542254260951418, + 0.9970521236714605, + 1.0386985606252042, + 1.077351240274725, + 1.1113219985772889, + 1.1390874056362783, + 1.1593233392981406, + 1.1709339157680017, + 1.1730741100895559, + 1.1651655632460534, + 1.1469052483948496, + 1.1182668519116363, + 1.0794949108792105, + 1.0310919327362829, + 0.9737989003868788, + 0.9085697327141707, + 0.8365404219797036, + 0.7589937022412879, + 0.6773202133912783, + 0.5929772109639989, + 0.5074459303788846, + 0.42218874434806847, + 0.33860725307429335, + 0.2580024186215803, + 0.18153779821451704, + 0.11020684768309368, + 0.04480515796583538, + -0.014091642716364086, + -0.0661437373781172, + -0.11125629970030258, + -0.14958175917294758, + -0.18151508761295662, + -0.2076822252760232, + -0.22892194439657365, + -0.24626162009969854, + -0.2608875388602014, + -0.27411051895858396, + -0.2873277420243783, + -0.3019817965777463, + -0.3195180108671038, + -0.34134120127780143, + -0.3687729828666913, + -0.403010779592427, + -0.4450896337296712, + -0.4958478476769979, + -0.5558973985031669, + -0.6255999484049926, + -0.7050491356667845, + -0.7940596741531747, + -0.8921636187279713, + -0.9986139735260725, + -1.1123956342218493, + -1.2322434689873318, + -1.3566671603940252, + -1.483982256670644, + -1.6123467198675503, + -1.7398021146651896, + -1.8643184584499521, + -1.9838416540106028, + -2.096342353338755, + -2.1998650564536026, + -2.2925762341206712, + -2.372810278271481, + -2.4391121285883037, + -2.4902754970883643, + -2.5253757129048826, + -2.5437963344245538, + -2.5452488224947944, + -2.5297847330110588, + -2.49780006583267, + -2.4500315952976783, + -2.387545201008562, + -2.3117164113012523, + -2.224203561134168, + -2.126914146384325, + -2.021965123274037, + -1.9116380507575368, + -1.798330101483638, + -1.684502070248523, + -1.5726245850879392, + -1.4651237734203393, + -1.3643276527374242, + -1.2724145017841124, + -1.191364424262136, + -1.122915243863086, + -1.0685237686387177, + -1.0293333367767403, + -1.0061484078145349, + -0.9994167967791868, + -1.0092199677322438, + -1.035271612118939, + -1.0769245408189694, + -1.1331857216462693, + -1.202739101041078, + -1.2839756645289522, + -1.3750300196601895, + -1.4738226317334133, + -1.5781067103637365, + -1.6855186370724238, + -1.7936307431459872, + -1.9000051949701973, + -2.002247722110989, + -2.098059932072401, + -2.1852889946440097, + -2.261973547045526, + -2.3263847669562807, + -2.377061681577356, + -2.4128399240977485, + -2.432873310764679, + -2.4366477881837456, + -2.4239874871364013, + -2.3950528114963574, + -2.350330684018967, + -2.2906172601219144, + -2.2169936016299068, + -2.1307949703978943, + -2.033574552662396, + -1.927062555233648, + -1.8131217210866761, + -1.6937003919873934, + -1.5707842976096595, + -1.446348272974371, + -1.3223090985189032, + -1.2004806199732385, + -1.082532239503231, + -0.9699517770127315, + -0.8640135834716748, + -0.7657526496560636, + -0.6759452972757731, + -0.5950968690939966, + -0.5234366546145114, + -0.46092010276934225, + -0.4072381874365852, + -0.3618336102165368, + -0.32392335223992375, + -0.29252692719328294, + -0.26649954520780117, + -0.24456927531879005, + -0.22537719589124902, + -0.20751945015291584, + -0.1895900795523402, + -0.1702234921370955, + -0.14813543686970224, + -0.12216139737391653, + -0.09129138891418484, + -0.05470023864143547, + -0.01177254882320139, + 0.03787831713960982, + 0.09439772919061741, + 0.15768409911348846, + 0.22739015828038744, + 0.30293117759924126, + 0.3834999209425846, + 0.46808794691736283, + 0.5555127071336898, + 0.6444497363908133, + 0.7334690953100397, + 0.8210751123497046, + 0.9057483827456588, + 0.9859889190339326, + 1.0603593130673499, + 1.1275267637656925, + 1.1863028484396867, + 1.2356799678669241, + 1.2748634751142804, + 1.3032986034448917, + 1.3206914369230778, + 1.3270233153619564, + 1.3225582293693106, + 1.3078429373502762, + 1.2836997200257398, + 1.2512118747283851, + 1.2117022367653563, + 1.166705193840862, + 1.1179328274145712, + 1.067235967694591, + 1.0165610828547247, + 0.9679040346163775, + 0.9232618186863801, + 0.8845834674544107, + 0.853721322266976, + 0.8323838826650837, + 0.822091410096317, + 0.8241354044277397, + 0.8395429844618113, + 0.8690470906565266, + 0.913063292082105, + 0.9716738235978242, + 1.0446193070910046, + 1.1312984265780188, + 1.2307756355195973, + 1.341796780536241, + 1.4628123335869543, + 1.5920077393166554, + 1.7273402102478221, + 1.8665811440816478, + 2.0073631984976705, + 2.1472309429388092, + 2.283693916821412, + 2.4142808616665725, + 2.5365938623713906, + 2.648361131063745, + 2.7474871957986813, + 2.832099315098483, + 2.90058902661491, + 2.951647851905384, + 2.9842963167202425 + ], + [ + 2.99635215442904, + 2.997905603967766, + 2.980172153747235, + 2.9434897633724315, + 2.8885580295905355, + 2.8164222858572345, + 2.7284499593737532, + 2.626299747926154, + 2.511884348347421, + 2.3873276201105864, + 2.2549171977741467, + 2.1170536715939607, + 1.9761975340485816, + 1.8348151394248602, + 1.6953249428179877, + 1.5600452734963806, + 1.4311448558993707, + 1.3105972206487173, + 1.200140049653217, + 1.1012403761283955, + 1.0150664152090938, + 0.9424666374028386, + 0.8839565194605942, + 0.8397132197162639, + 0.8095782321888871, + 0.7930678804935547, + 0.7893913236129769, + 0.7974755654713991, + 0.8159967934271701, + 0.8434172213236918, + 0.8780264842372643, + 0.9179865276346761, + 0.9613788558010049, + 1.0062529549536403, + 1.0506746865482608, + 1.0927734562989009, + 1.1307870040255106, + 1.1631027275242105, + 1.1882945484375251, + 1.2051544471344522, + 1.2127179338454948, + 1.2102828811666835, + 1.1974213145487032, + 1.173983938190143, + 1.1400973593028563, + 1.0961541593478865, + 1.0427961418954592, + 0.9808912587084364, + 0.9115048741881104, + 0.83586616950038, + 0.7553306080070722, + 0.6713394800783955, + 0.5853776155781218, + 0.4989303945751886, + 0.41344120013018404, + 0.3302704410482351, + 0.2506572277322512, + 0.17568471188745588, + 0.10625000268867514, + 0.04303945064194774, + -0.01349005114903607, + -0.06312325665831284, + -0.10589192647486506, + -0.1420732148769963, + -0.17218112451682227, + -0.1969512501964608, + -0.2173192090303711, + -0.23439332003849386, + -0.2494222476877256, + -0.2637584572376765, + -0.2788184415483749, + -0.29604076641015364, + -0.31684304220933307, + -0.34257896226612594, + -0.37449655160112044, + -0.41369874406270807, + -0.46110735127432567, + -0.5174314050529638, + -0.58314074781367, + -0.6584456156526516, + -0.743282809512212, + -0.8373088847861803, + -0.9399006130388031, + -1.0501627855971303, + -1.1669432422397497, + -1.288854823722157, + -1.414303769087396, + -1.541523912089477, + -1.6686158798161617, + -1.7935903645724287, + -1.9144144306406374, + -2.0290597334772262, + -2.1355514724220135, + -2.232016870586092, + -2.316731978030786, + -2.388165626694004, + -2.445019427061989, + -2.486262785896288, + -2.511162039289829, + -2.5193029331829306, + -2.5106058408882754, + -2.485333280330231, + -2.4440894783784075, + -2.3878119213341393, + -2.317755024616827, + -2.235466246232322, + -2.1427551529786557, + -2.04165612101214, + -1.9343855090984652, + -1.8232942797319227, + -1.7108171569277384, + -1.5994194970500557, + -1.4915431083389417, + -1.3895522843449766, + -1.2956813154961382, + -1.2119847114868452, + -1.1402913058175848, + -1.082163324084114, + -1.0388613816716192, + -1.0113162371493831, + -1.0001079682586562, + -1.0054530618062374, + -1.0271997212817396, + -1.064831501163337, + -1.1174791794014622, + -1.183940584273076, + -1.2627079034272661, + -1.3520018260724702, + -1.4498117081794013, + -1.553940809196028, + -1.662055530512021, + -1.7717374936210346, + -1.8805372318233333, + -1.9860282349094414, + -2.085860082359252, + -2.1778094272233592, + -2.259827649318739, + -2.330084081232738, + -2.3870038217572507, + -2.42929928599487, + -2.455994796147019, + -2.4664436880748797, + -2.460337591888732, + -2.4377077355513057, + -2.398918314079924, + -2.344652158642569, + -2.275889124963003, + -2.1938777944501506, + -2.100101240101543, + -1.9962377486425928, + -1.88411750717911, + -1.7656763540521776, + -1.6429077574195068, + -1.517814219860728, + -1.3923593122541276, + -1.268421515279133, + -1.1477509928820204, + -1.0319303403450282, + -0.9223402423469059, + -0.8201308463540579, + -0.7261995071545189, + -0.6411753931388098, + -0.5654112682216894, + -0.49898257954421477, + -0.4416937949211744, + -0.3930917500793642, + -0.35248558867755486, + -0.3189727123386873, + -0.29147000759693853, + -0.268749485511903, + -0.24947736098670134, + -0.23225551523636648, + -0.21566422844275812, + -0.1983050417725583, + -0.17884260927668538, + -0.15604443064905904, + -0.1288174145842484, + -0.09624030801034626, + -0.057591136585808125, + -0.01236893372056491, + 0.03969081435023592, + 0.09860741507161183, + 0.1641531400634199, + 0.23585837086206768, + 0.31302358868383523, + 0.39473789780385776, + 0.4799036008182329, + 0.5672661849383173, + 0.6554489356049462, + 0.7429912707469956, + 0.8283897890855876, + 0.9101409515669333, + 0.9867842682148212, + 1.0569448446589014, + 1.1193741538257265, + 1.1729879385484525, + 1.2169002192002705, + 1.2504524752209938, + 1.2732371882540419, + 1.285115074602364, + 1.2862254923705947, + 1.2769896800618301, + 1.2581066642633034, + 1.2305418598636406, + 1.1955085723396186, + 1.1544427933603707, + 1.1089718537096134, + 1.0608776569630811, + 1.0120553594442372, + 0.9644684831048164, + 0.9201015450415483, + 0.8809113578624843, + 0.8487781972072239, + 0.825458045259676, + 0.81253710165599, + 0.8113897061147658, + 0.8231407414679581, + 0.8486334833273852, + 0.8884037358295879, + 0.942660944815681, + 1.0112768140112602, + 1.0937817703084376, + 1.1893694354979023, + 1.296909068372375, + 1.4149657477671318, + 1.5418278785690074, + 1.6755414236527235, + 1.8139500995086748, + 1.9547406260906497, + 2.0954919957817797, + 2.2337276254730836, + 2.3669691820888286, + 2.4927908273281445, + 2.608872613062405, + 2.7130517751324987, + 2.8033707198759394, + 2.8781205734871027, + 2.935879267462137, + 2.975543261420116, + 2.9963521544290397 + ], + [ + 2.9999784020568754, + 2.9894570240085767, + 2.959816892781092, + 2.9116254495955616, + 2.845803090711617, + 2.7636025023919126, + 2.6665805661259165, + 2.556563499283912, + 2.4356060558592945, + 2.3059457514196517, + 2.169953192450216, + 2.0300796801380243, + 1.8888033201557497, + 1.748574901701353, + 1.6117648102059223, + 1.4806122087590428, + 1.357177664188257, + 1.2433003063653976, + 1.1405604958866602, + 1.0502488386112534, + 0.9733422290371104, + 0.9104874320153198, + 0.861992528117413, + 0.8278263566115365, + 0.807625896183052, + 0.8007113320119246, + 0.8061083732872769, + 0.8225772122104612, + 0.84864735823083, + 0.8826574434947951, + 0.9227989805995602, + 0.9671629644862237, + 1.0137881488007712, + 1.0607097947221187, + 1.1060076878044314, + 1.1478522457644305, + 1.1845475965817898, + 1.2145705902706052, + 1.2366048170399895, + 1.2495688364839235, + 1.252637973561228, + 1.2452592036120798, + 1.2271588262993223, + 1.198342812683507, + 1.1590898960048701, + 1.1099376604772746, + 1.0516620588967096, + 0.9852509547189586, + 0.91187243335543, + 0.8328387570628757, + 0.7495669447460471, + 0.6635370396102828, + 0.5762491818911646, + 0.4891806295372109, + 0.40374386613645824, + 0.32124690270176853, + 0.24285681903667736, + 0.16956750287651293, + 0.10217243308984807, + 0.04124321979661464, + -0.012885537285185227, + -0.06012467675453656, + -0.10063197003943121, + -0.1348066442612318, + -0.1632770775953933, + -0.18688198999839226, + -0.20664562269446804, + -0.22374755780378805, + -0.23948797092665197, + -0.2552492307724633, + -0.2724548579390676, + -0.2925269271932825, + -0.31684304220933307, + -0.3466940275151119, + -0.38324346892730665, + -0.42749019131193416, + -0.4802346921023438, + -0.5420504523624975, + -0.6132609266813093, + -0.6939228718095519, + -0.7838165152182175, + -0.8824428926227331, + -0.9890285022800106, + -1.1025372380609857, + -1.2216893775888795, + -1.3449872207789972, + -1.4707468024765127, + -1.5971349448973655, + -1.7222107752369293, + -1.8439707146908484, + -1.9603958502817114, + -2.06950053275446, + -2.169381004183101, + -2.258262848906759, + -2.334546081335383, + -2.396846733642691, + -2.4440338842691407, + -2.4752611726556553, + -2.4899919742212164, + -2.488017559182859, + -2.4694677257673394, + -2.434813578614683, + -2.3848623123219768, + -2.320744053490013, + -2.2438910075688736, + -2.1560093445084187, + -2.0590444350813293, + -1.9551402133709208, + -1.8465935862567826, + -1.7358049341845059, + -1.6252258460017912, + -1.5173053017189415, + -1.4144355589173148, + -1.3188990101066278, + -1.2328172592885174, + -1.158103616734594, + -1.096420132691846, + -1.049140185256658, + -1.0173175075504552, + -1.0016623877290574, + -1.0025256059364245, + -1.0198904891827216, + -1.053373272733774, + -1.1022317596198732, + -1.1653820730946585, + -1.241423105082962, + -1.3286680815107743, + -1.4251824973344898, + -1.5288275241581206, + -1.6373078651777624, + -1.7482229289182762, + -1.8591201173135468, + -1.9675489769413252, + -2.071114945753477, + -2.16753144179647, + -2.2546690847981594, + -2.330600914967673, + -2.3936425740656695, + -2.44238653923762, + -2.475729647144008, + -2.492893310924423, + -2.4934360114180874, + -2.4772578324177505, + -2.4445970029184356, + -2.396018602588722, + -2.3323957752986497, + -2.254883974867817, + -2.1648889328709044, + -2.0640291863231104, + -1.9540941297774044, + -1.8369986587452907, + -1.7147355469574317, + -1.589326747032468, + -1.4627748215549803, + -1.337015699046597, + -1.2138739072612323, + -1.095021365790798, + -0.981940722980262, + -0.8758941011225339, + -0.7778979719312006, + -0.6887047249811197, + -0.6087913191985516, + -0.5383552259294045, + -0.47731768618738074, + -0.4253341190537816, + -0.38181133752035123, + -0.3459310568569938, + -0.3166790231222405, + -0.29287894963916783, + -0.27323033060702423, + -0.2563491064468607, + -0.24081008731746065, + -0.22519000114900972, + -0.2081100214820865, + -0.18827664859420462, + -0.16451986433518107, + -0.13582755554356193, + -0.10137530095612855, + -0.060550739585335515, + -0.012971881482161931, + 0.04150111901771971, + 0.10276103609774873, + 0.17045562064519762, + 0.243996570663184, + 0.32257518962331394, + 0.40518432329031223, + 0.4906460007697278, + 0.5776440553405934, + 0.6647608688606491, + 0.7505172735339772, + 0.8334145594247, + 0.9119774774841447, + 0.984797097557633, + 1.0505723796647863, + 1.108149344886022, + 1.1565567887844355, + 1.1950375640745006, + 1.2230745681595114, + 1.2404107025063502, + 1.2470622213490032, + 1.2433250531646214, + 1.229773855607019, + 1.2072537486812132, + 1.1768648572870508, + 1.139939978172804, + 1.0980158631955186, + 1.052798776124035, + 1.006125129862548, + 0.9599181411191721, + 0.9161415468753009, + 0.8767515087694356, + 0.8436478855655877, + 0.8186260787899513, + 0.8033306516686215, + 0.7992118867046673, + 0.8074863833563847, + 0.8291027058055647, + 0.8647129739085465, + 0.9146511509121545, + 0.9789186227662323, + 1.0571774897326918, + 1.1487518057249382, + 1.2526368089423079, + 1.3675159935951653, + 1.491785681607226, + 1.6235865698307923, + 1.7608415570385751, + 1.901298999993457, + 2.0425804130823972, + 2.1822315146795166, + 2.317775438351257, + 2.4467668703666576, + 2.566845848166665, + 2.6757899581855544, + 2.7715637056635645, + 2.852363893053103, + 2.9166599357825, + 2.9632281622885324, + 2.9911792865126894, + 2.9999784020568754 + ], + [ + 2.9951443799079214, + 2.9726313428996796, + 2.9313177626520197, + 2.8719957733124595, + 2.7957988038744697, + 2.704176323361824, + 2.598861531914154, + 2.4818327601564074, + 2.3552694873709394, + 2.2215040150480365, + 2.0829699333220186, + 1.9421485911762781, + 1.8015148253687079, + 1.663483216755312, + 1.5303561257851146, + 1.4042747118655516, + 1.2871740652547055, + 1.1807434770350613, + 1.0863927451331623, + 1.0052252654389504, + 0.9380184905341518, + 0.8852121584745876, + 0.846904504925857, + 0.8228564783798187, + 0.8125037849355533, + 0.8149764009504764, + 0.8291250133585346, + 0.8535536829685898, + 0.886657879598001, + 0.9266669130113513, + 0.971689683329109, + 1.0197626012384455, + 1.0688984836987956, + 1.1171352158941301, + 1.1625829852108718, + 1.2034689375394738, + 1.2381781790035864, + 1.2652901454081598, + 1.283609484710645, + 1.29219074151491, + 1.290356293315179, + 1.2777071619108846, + 1.2541265056921207, + 1.219775784774209, + 1.1750837765629558, + 1.1207287996107138, + 1.057614674070329, + 0.9868411034174118, + 0.9096693004992513, + 0.8274837979463318, + 0.7417514756574893, + 0.6539789041639456, + 0.5656691405827827, + 0.4782791226889925, + 0.39317878620057234, + 0.31161298125250325, + 0.23466718752214855, + 0.1632379255379903, + 0.09800863697053977, + 0.03943166235559145, + -0.012283215585645432, + -0.05717336700964745, + -0.09552093200560263, + -0.1278435258012246, + -0.15487827911475358, + -0.17755963517948542, + -0.19699148875912056, + -0.21441440136134898, + -0.23116875705369122, + -0.24865483146930956, + -0.26829082999334614, + -0.2914700075969383, + -0.3195180108671037, + -0.35365158171066413, + -0.3949397319666455, + -0.4442684394556736, + -0.5023098302551003, + -0.5694967013251101, + -0.6460031047633255, + -0.7317315632349617, + -0.8263073192928109, + -0.929079843533161, + -1.039131642277986, + -1.1552942193500844, + -1.2761708631912676, + -1.4001657546785482, + -1.525518726958135, + -1.6503448605924709, + -1.7726779690626258, + -1.8905169244610678, + -2.0018736937561807, + -2.104821904380744, + -2.197544735475281, + -2.27838093856257, + -2.345867828659531, + -2.398780153024509, + -2.43616383834775, + -2.45736373599277, + -2.4620446260290927, + -2.4502049008451725, + -2.4221825242011263, + -2.378653047401354, + -2.320619656288822, + -2.2493954162758163, + -2.166578072872778, + -2.074017947472785, + -1.973779637995133, + -1.8680983871882206, + -1.7593321141425282, + -1.6499102135680115, + -1.54228030992674, + -1.4388542075047914, + -1.34195430158273, + -1.2537617093763314, + -1.176267342476398, + -1.1112270759704366, + -1.0601220748614952, + -1.0241252180783391, + -1.0040744171990084, + -1.000453464450276, + -1.0133808665390924, + -1.0426069317400246, + -1.0875191819993946, + -1.1471559643781957, + -1.2202279417416, + -1.3051469559387294, + -1.4000615823376943, + -1.5028985367214915, + -1.6114089580380913, + -1.7232184766609875, + -1.8358798904007931, + -1.94692721161242, + -2.053929819762988, + -2.154545455426388, + -2.2465708237650923, + -2.327988637314315, + -2.397010017738157, + -2.4521112919344072, + -2.4920643565465292, + -2.515959943159463, + -2.5232232902981764, + -2.513621913524652, + -2.487265356879429, + -2.444597002918436, + -2.3863782098941018, + -2.3136652285363786, + -2.227779522911104, + -2.130272275778738, + -2.0228839949603517, + -1.9075002501526421, + -1.7861046567114698, + -1.6607302820814382, + -1.5334106804198346, + -1.406131760907703, + -1.2807856653627945, + -1.159127771912107, + -1.0427378552051998, + -0.9329863221923981, + -0.8310063087114923, + -0.7376722694313138, + -0.6535855259596414, + -0.5790670593744989, + -0.5141576485779336, + -0.4586252693452877, + -0.41197948542784224, + -0.3734923871542405, + -0.34222546906001516, + -0.3170616902392608, + -0.2967418330327397, + -0.2799041705160547, + -0.265126373623174, + -0.25096853658373613, + -0.2360161759241145, + -0.21892206411577825, + -0.1984457938480741, + -0.17349003192390497, + -0.1431325112872164, + -0.10665292338759957, + -0.06355400805940555, + -0.013576290897092369, + 0.043293915145402075, + 0.10682345075561135, + 0.17653821902119374, + 0.2517359048308416, + 0.33150516955158055, + 0.41475081591526947, + 0.5002242612072665, + 0.5865585168608751, + 0.6723067529888792, + 0.7559834302818508, + 0.836106911536238, + 0.911242422656996, + 0.9800442194253329, + 1.0412958320224286, + 1.0939473039094931, + 1.1371484141098214, + 1.1702769704449456, + 1.1929613834122221, + 1.2050968731253962, + 1.206854821520637, + 1.198684954872396, + 1.181310223245169, + 1.1557144292810437, + 1.1231228440268974, + 1.0849762276796764, + 1.0428988436334719, + 0.9986612107391081, + 0.954138477268052, + 0.9112654171787866, + 0.8719891419148756, + 0.838220686723023, + 0.8117866676332416, + 0.794382212768392, + 0.7875263492563521, + 0.7925209751593337, + 0.8104144656979838, + 0.8419708565244438, + 0.8876454164389237, + 0.947567270895533, + 1.021529569571511, + 1.1089875102752227, + 1.2090643419666496, + 1.3205652763030737, + 1.4419990446505855, + 1.5716066506548083, + 1.7073966918479921, + 1.8471864617470148, + 1.9886479004782396, + 2.1293573407109703, + 2.2668478996109136, + 2.3986632990443115, + 2.5224118571031906, + 2.635819385195551, + 2.7367797467206527, + 2.8234018852476974, + 2.894052210915431, + 2.947391341540388, + 2.982404327068348, + 2.9984236393354355, + 2.995144379907921 + ], + [ + 2.981890985996979, + 2.947570913516965, + 2.8949158788969154, + 2.824936019517115, + 2.7389682279729337, + 2.638646521132217, + 2.525865790411109, + 2.402739786412704, + 2.27155432660448, + 2.134716826295767, + 1.9947033381221546, + 1.8540043415106109, + 1.715070549851849, + 1.580259998745807, + 1.4517876438636144, + 1.331678632582737, + 1.2217263212226839, + 1.123455991741131, + 1.0380950810752843, + 0.9665505764139233, + 0.909394054512126, + 0.8668546570319878, + 0.8388201013895358, + 0.8248456324398452, + 0.8241706293002738, + 0.8357423983709715, + 0.8582465126365977, + 0.8901429027861579, + 0.9297067713179591, + 0.9750732898467377, + 1.0242849549575221, + 1.0753404211628106, + 1.1262436021241289, + 1.1750518338737648, + 1.2199219261509096, + 1.259152989244774, + 1.291225012295497, + 1.3148322825495513, + 1.3289108706911432, + 1.3326595616242185, + 1.3255537790544956, + 1.3073522316530226, + 1.278096193956421, + 1.238101521819832, + 1.1879436855102794, + 1.128436278828089, + 1.0606036255983604, + 0.9856482514262561, + 0.9049141151204672, + 0.8198465975280216, + 0.7319503231464287, + 0.6427459398903655, + 0.5537270035899686, + 0.46631810571145754, + 0.38183534567953725, + 0.30145018403529916, + 0.22615762117712815, + 0.15674953096033836, + 0.0937938419300589, + 0.03762010491456834, + -0.011688181964548466, + -0.054294296839570155, + -0.09060205406791659, + -0.12124277062999346, + -0.14705578671054872, + -0.16906305707992192, + -0.188438485565967, + -0.20647281343798118, + -0.22453499038269584, + -0.2440310509303194, + -0.26636158727187514, + -0.2928789496391675, + -0.324845316737363, + -0.3633927607959584, + -0.40948638504120455, + -0.46389153692238594, + -0.5271460000747088, + -0.5995379442550082, + -0.6810902684171403, + -0.7715518112907939, + -0.8703957303062126, + -0.9768251678093006, + -1.0897861377964166, + -1.2079873815299143, + -1.3299267610255643, + -1.4539235900554486, + -1.57815614726657, + -1.7007034792102529, + -1.8195904859968135, + -1.932835191886032, + -2.0384970397393127, + -2.1347250135690166, + -2.2198043883875886, + -2.292200931411498, + -2.3506014328977187, + -2.393949527236606, + -2.4214758734475494, + -2.4327218963204813, + -2.427556441925484, + -2.406184870369831, + -2.3691502903916843, + -2.317326830197239, + -2.251905032219119, + -2.174369651448008, + -2.0864703229405688, + -1.9901857394458722, + -1.8876821404861759, + -1.7812670557004209, + -1.673339364296055, + -1.5663368260866593, + -1.4626823054710623, + -1.3647299461641809, + -1.2747125605703804, + -1.1946914731932285, + -1.126510002945138, + -1.0717516859411143, + -1.0317042303208364, + -1.0073300604908877, + -0.9992441531542162, + -1.0076996953510213, + -1.0325819096498976, + -1.0734101980948039, + -1.1293485592350145, + -1.1992240363376137, + -1.2815527644754932, + -1.3745730042267659, + -1.4762843845851035, + -1.5844924313733515, + -1.6968573335201627, + -1.8109458009975608, + -1.924284797400201, + -2.0344158887667234, + -2.1389489392702723, + -2.2356139040636043, + -2.3223095193279355, + -2.397147768180064, + -2.4584931065702884, + -2.5049955630283858, + -2.535616976870079, + -2.54964980753253, + -2.5467281289183035, + -2.526830612528528, + -2.490275497088365, + -2.4377077355513075, + -2.3700786980805875, + -2.2886189872570335, + -2.194805085021324, + -2.090320695756866, + -1.9770137729506077, + -1.8568503150739033, + -1.7318660873646523, + -1.6041174684027089, + -1.4756326328074592, + -1.34836426384325, + -1.2241449427320656, + -1.1046462863097186, + -0.991342803283338, + -0.8854813143642208, + -0.788056636149536, + -0.6997940664998845, + -0.6211390344054236, + -0.5522540943551433, + -0.4930232586211985, + -0.443063475322834, + -0.4017428802868718, + -0.3682052810654972, + -0.3414001762361788, + -0.320117476152779, + -0.3030259760361692, + -0.288714541533417, + -0.2757349028635702, + -0.262644917957649, + -0.24805115843057512, + -0.23064969490044743, + -0.2092640094678552, + -0.1828790417383829, + -0.15067047858409036, + -0.1120285242308377, + -0.0665755329977331, + -0.014177048388207531, + 0.04505403486679333, + 0.11076028917893065, + 0.18234947365674029, + 0.2590108950958933, + 0.3397379767975799, + 0.4233564388222353, + 0.5085573457133352, + 0.5939341491208608, + 0.6780227463953608, + 0.7593434948310652, + 0.8364440669030351, + 0.9079420059819412, + 0.9725658453176231, + 1.0291936855225694, + 1.0768881865892983, + 1.1149270181567479, + 1.1428279241380093, + 1.1603676921484603, + 1.1675944710874333, + 1.1648330479138693, + 1.1526828729253458, + 1.1320088072361052, + 1.1039247520267292, + 1.0697705018338997, + 1.0310823390607888, + 0.9895580496004613, + 0.9470171858555174, + 0.9053575297847705, + 0.8665088116832248, + 0.8323848175486961, + 0.8048350670922182, + 0.7855972643865178, + 0.776251713219563, + 0.7781788495728041, + 0.7925209751593337, + 0.8201491802379802, + 0.8616363232466093, + 0.9172367920776595, + 0.986873610509949, + 1.0701332773398717, + 1.1662685394207617, + 1.2742091076852324, + 1.3925801320083442, + 1.519728061222742, + 1.6537533333923349, + 1.792549173063828, + 1.9338456208126946, + 2.0752577897390925, + 2.2143372369016228, + 2.3486252576701014, + 2.475706859648609, + 2.59326415148089, + 2.6991278910806566, + 2.7913259774585, + 2.8681277394285734, + 2.928082971429628, + 2.970054789161938, + 2.9932455227702333, + 2.997215029385369, + 2.9818909859969795 + ], + [ + 2.9603303500337637, + 2.9144877584329816, + 2.850919217924384, + 2.7708443350214145, + 2.675792175395262, + 2.5675675074825226, + 2.4482109186208416, + 2.3199537404006474, + 2.185168841701535, + 2.046318444051331, + 1.9059001821870967, + 1.7663926713789146, + 1.6302018512925194, + 1.4996093537561344, + 1.3767240893511155, + 1.2634381665914263, + 1.16138814962214, + 1.071922528532072, + 0.9960761238058943, + 0.9345519769058169, + 0.887711096652482, + 0.8555702404565872, + 0.8378077152206006, + 0.8337769896481658, + 0.8425277224945821, + 0.8628336345385138, + 0.8932264900599476, + 0.9320353103067008, + 0.9774298202869109, + 1.0274670341487953, + 1.0801398156871997, + 1.1334262107535087, + 1.185338338425936, + 1.233969647865351, + 1.2775393972380298, + 1.3144332886055878, + 1.34323929624391, + 1.3627778527964938, + 1.3721257047569821, + 1.3706329122813803, + 1.3579326441227817, + 1.3339436021339326, + 1.2988650966831017, + 1.2531649797924809, + 1.1975608221979719, + 1.1329948893675483, + 1.0606036255983604, + 0.9816824908131087, + 0.8976471082391274, + 0.8099917699793557, + 0.7202464093981795, + 0.6299331827502709, + 0.5405238067955593, + 0.453398774220657, + 0.3698095152131255, + 0.2908444929133314, + 0.2174001147835178, + 0.15015721389771514, + 0.0895637070416644, + 0.0358238740692353, + -0.01110547067558455, + -0.05151182448073742, + -0.08591695215954319, + -0.11506022412316219, + -0.1398757822082354, + -0.1614641405951695, + -0.1810589753922982, + -0.19998998346112587, + -0.21964279558151545, + -0.24141700843113686, + -0.2666834520410705, + -0.29674183303273927, + -0.33277988840181544, + -0.3758351499880009, + -0.42676035688353753, + -0.4861934634279527, + -0.5545330763260005, + -0.631920018643192, + -0.7182255643611222, + -0.8130467186596312, + -0.9157087403510226, + -1.0252749184027738, + -1.1405634288818, + -1.2601709166045065, + -1.382502271871279, + -1.5058059112967164, + -1.6282137270073078, + -1.747784744049671, + -1.862551424918083, + -1.9705674852740978, + -2.0699560381518376, + -2.1589568664842385, + -2.2359716361837774, + -2.2996059040604226, + -2.348706845616111, + -2.3823957255590313, + -2.4000942563979732, + -2.401544134752977, + -2.386819207553983, + -2.356329897133947, + -2.3108197010343936, + -2.251353774550315, + -2.179299796926209, + -2.096301510926578, + -2.0042455055858452, + -1.9052219788420952, + -1.8014803663429464, + -1.6953808512635207, + -1.5893428742932276, + -1.4857918404159172, + -1.3871052677709617, + -1.2955596424896512, + -1.213279231436466, + -1.1421880624850067, + -1.0839662103026175, + -1.040011426309093, + -1.011407026893904, + -0.9988968071273888, + -1.0028675816356172, + -1.0233397740389165, + -1.059966285755555, + -1.112039678675061, + -1.1785075089812118, + -1.2579954560482802, + -1.3488377055462204, + -1.4491138741629195, + -1.556691608854777, + -1.6692738600196686, + -1.7844497186819386, + -1.8997476253265273, + -2.0126897043996093, + -2.120845954978666, + -2.22188703524057, + -2.3136344159057645, + -2.3941067448483873, + -2.461561359853429, + -2.514530006711133, + -2.5518479624837442, + -2.572675925332553, + -2.5765142087657797, + -2.563208965214018, + -2.5329503568591374, + -2.4862627858962885, + -2.423987487136404, + -2.3472579683937336, + -2.257468953995388, + -2.1562396398641224, + -2.0453722012505713, + -1.9268066031285924, + -1.802572845911303, + -1.674741833544737, + -1.545376075942556, + -1.4164814326230066, + -1.2899610695268682, + -1.1675727372980769, + -1.0508903884754177, + -0.9412710354209902, + -0.8398276133582178, + -0.7474084571014883, + -0.6645838298737952, + -0.591639762319215, + -0.5285792739575494, + -0.47513086256165393, + -0.4307639639392394, + -0.3947109099424779, + -0.36599475056407493, + -0.3434621607362238, + -0.3258205275312082, + -0.31167821195604145, + -0.29958690393356596, + -0.28808494121026323, + -0.2757404439691551, + -0.26119312727049515, + -0.24319369277284233, + -0.22063976845410785, + -0.19260745850701042, + -0.1583776828198831, + -0.11745662347022201, + -0.06958975093208475, + -0.01476907127528672, + 0.046766586772587236, + 0.11453824393320622, + 0.1878402187079987, + 0.26575999174872633, + 0.34720395808662313, + 0.4309283845473294, + 0.5155747526222486, + 0.5997085509341196, + 0.6818604891893592, + 0.7605690395150885, + 0.8344231730381239, + 0.9021041504775066, + 0.9624252456634562, + 1.014368329800879, + 1.0571163207773047, + 1.0900806039902713, + 1.1129226565062784, + 1.1255692517451252, + 1.1282207836837326, + 1.1213524237484764, + 1.1057080057529152, + 1.0822867198684099, + 1.052322881022929, + 1.0172592156652125, + 0.9787142790011113, + 0.9384447683509909, + 0.8983036332929655, + 0.8601949963020348, + 0.8260269857675744, + 0.7976636442820548, + 0.7768771073262575, + 0.7653012500277195, + 0.7643879723737919, + 0.7753672366950923, + 0.7992118867046673, + 0.8366081668863571, + 0.8879327272248663, + 0.9532367443966046, + 1.0322376203359485, + 1.1243185367101647, + 1.2285359537427762, + 1.343634948684374, + 1.4680720977917705, + 1.6000454206586527, + 1.7375307317120612, + 1.8783235849552906, + 2.0200858585362016, + 2.160395908921447, + 2.2968011332787537, + 2.4268717154032347, + 2.5482542967788286, + 2.658724311028304, + 2.7562357472147787, + 2.8389671646046013, + 2.9053628672411413, + 2.95416825896265, + 2.984458535624949, + 2.9956600279728542, + 2.9875636820495703, + 2.960330350033764 + ], + [ + 2.9306448847548214, + 2.8736617761100383, + 2.799700011394969, + 2.7101783599529568, + 2.6068051441337503, + 2.4915406430318376, + 2.366553911897928, + 2.2341750295306113, + 2.0968438929542623, + 1.9570567586292407, + 1.8173117803999428, + 1.6800548151552372, + 1.5476267572840556, + 1.4222136227377395, + 1.3058005338854395, + 1.2001306591130698, + 1.1066700386881494, + 1.0265790838257907, + 0.9606913727172874, + 0.9095001895460015, + 0.8731530645903639, + 0.8514543800188717, + 0.8438759116641503, + 0.849574986681314, + 0.8674197552033751, + 0.8960209053362019, + 0.933768999190963, + 0.9788764768060647, + 1.029423267915654, + 1.0834048711322892, + 1.1387817081217566, + 1.1935285379464826, + 1.2456827243944297, + 1.2933901865019053, + 1.3349479285946324, + 1.3688421392747017, + 1.39378096646989, + 1.4087212149290802, + 1.4128883698570283, + 1.4057895217566985, + 1.3872189486699555, + 1.3572562983266128, + 1.3162574995570593, + 1.264838715021414, + 1.2038538212978511, + 1.1343660633211325, + 1.057614674070329, + 0.9749773737072839, + 0.8879297620218056, + 0.7980026916007561, + 0.7067387548191326, + 0.6156490344669053, + 0.5261712552189499, + 0.43963043160706716, + 0.357203038768833, + 0.2798856368326215, + 0.2084687608082242, + 0.14351674833552783, + 0.08535402116066995, + 0.03405816674534758, + -0.010540011719938182, + -0.048849490908388075, + -0.08150526436266006, + -0.1093481934218129, + -0.13339901169489246, + -0.1548271759972381, + -0.17491539223345012, + -0.19502075910590128, + -0.21653356283191164, + -0.24083481995417305, + -0.2692537011793396, + -0.30302597603616965, + -0.34325459579374545, + -0.3908734810439821, + -0.4466155018752969, + -0.5109855345824007, + -0.5842393519510958, + -0.6663689574872822, + -0.7570948111876723, + -0.8558652196484738, + -0.9618629808578909, + -1.0740191884997976, + -1.1910339166745678, + -1.3114033282538105, + -1.4334525831159661, + -1.5553737704876311, + -1.6752679564044275, + -1.7911903263056679, + -1.9011973168431129, + -2.0033945723491438, + -2.095984531631826, + -2.177312450685708, + -2.245909696631729, + -2.3005332070899454, + -2.3402000958804208, + -2.36421649838213, + -2.3721998853545507, + -2.3640942292612164, + -2.3401775783511796, + -2.301061776770728, + -2.247684259310108, + -2.181292042364502, + -2.103418223554912, + -2.0158514865065724, + -1.9205992799705804, + -1.819845497522702, + -1.7159036215814434, + -1.6111664100310066, + -1.5080532924483148, + -1.4089567035815829, + -1.31618861276438, + -1.2319285085502096, + -1.1581740679443577, + -1.0966956798643228, + -1.0489959042858794, + -1.0162748340334908, + -0.9994021881062797, + -0.9988968071273884, + -1.01491404679864, + -1.0472413783710448, + -1.0953023106426403, + -1.1581685505950476, + -1.2345801242784542, + -1.3229729907050718, + -1.4215135039055409, + -1.5281389162574042, + -1.6406029736447096, + -1.7565255334100622, + -1.8734450423089448, + -1.9888726460307804, + -2.1003466658821264, + -2.205486172778044, + -2.302042413852056, + -2.3879469021179993, + -2.46135506330993, + -2.5206844442013705, + -2.5646466206285132, + -2.5922720978001377, + -2.6029276664605914, + -2.5963258618684972, + -2.5725263638525955, + -2.5319293707102277, + -2.4752611726556553, + -2.4035523371837995, + -2.3181090945331904, + -2.2204786721283853, + -2.112409468556591, + -1.9958070768628013, + -1.8726872608700043, + -1.7451270546147912, + -1.6152151922880595, + -1.4850030834619763, + -1.3564575257862608, + -1.231416295410221, + -1.111547675518015, + -0.9983148776297031, + -0.8929461814320055, + -0.796411470143435, + -0.7094056735556056, + -0.632339454087716, + -0.5653372868914386, + -0.5082428978752604, + -0.4606318381663651, + -0.4218307946264022, + -0.3909430680457777, + -0.36687949773829215, + -0.348393977238221, + -0.33412259397922733, + -0.32262533896129314, + -0.3124292726107962, + -0.3020720017503842, + -0.29014432054240413, + -0.2753308954406802, + -0.2564479298347387, + -0.23247682673821882, + -0.20259297542176619, + -0.16618891755921014, + -0.12289129692994441, + -0.07257116021478671, + -0.015347350776811836, + 0.048417081898722195, + 0.11812535181167283, + 0.19296399998724476, + 0.2719260943776566, + 0.3538399478386099, + 0.43740259100337264, + 0.5212171114961448, + 0.6038328682483645, + 0.6837875123302383, + 0.7596496956713276, + 0.8300613276180658, + 0.8937782470429194, + 0.9497082145245797, + 0.9969451940753128, + 1.0347989854051534, + 1.0628193835173696, + 1.0808141796462054, + 1.0888604727545028, + 1.0873089301265262, + 1.0767808147801041, + 1.0581577819877528, + 1.0325646325007143, + 1.0013453914484487, + 0.9660332547634507, + 0.9283151049855662, + 0.8899914413734543, + 0.8529326917492654, + 0.8190329722893896, + 0.7901624339973166, + 0.7681193789522991, + 0.7545833444158835, + 0.7510703380223754, + 0.7588913628470377, + 0.7791152981404318, + 0.81253710165599, + 0.8596521751682934, + 0.9206375889823005, + 0.995340697508978, + 1.0832755003229562, + 1.183626915869008, + 1.2952629427397755, + 1.4167544909336716, + 1.5464024774623208, + 1.6822716017534705, + 1.8222300509144973, + 1.963994237184413, + 2.105177543482243, + 2.243341951011582, + 2.3760513479636733, + 2.5009252723709645, + 2.6156918262887587, + 2.7182385131745983, + 2.806659795293421, + 2.879300242157819, + 2.93479224265502, + 2.9720873801782397, + 2.99048071871657, + 2.989627414869619, + 2.969551252093782, + 2.9306448847548205 + ], + [ + 2.8930857426292427, + 2.8254383728325587, + 2.741691596972871, + 2.643451355912495, + 2.5325907956898663, + 2.411209149455972, + 2.2815856254694697, + 2.1461293805118755, + 2.0073267493965683, + 1.8676869642795504, + 1.729687630726531, + 1.595721230171566, + 1.4680438904874349, + 1.3487276085970061, + 1.2396170228391088, + 1.142291720307915, + 1.0580349283994464, + 0.9878092836826505, + 0.9322401988154588, + 0.8916071637916076, + 0.8658431258646028, + 0.8545418977605923, + 0.856973351032383, + 0.8721059653357117, + 0.8986361295661602, + 0.9350234314356721, + 0.9795310320566959, + 1.0302701048197898, + 1.0852472261099397, + 1.142413541384173, + 1.1997144953154233, + 1.2551389098570669, + 1.3067662192181642, + 1.352810725138455, + 1.391661818067777, + 1.4219192177551634, + 1.4424224175729525, + 1.4522736673140555, + 1.450853995399215, + 1.437831949225456, + 1.413164917307341, + 1.377093084272153, + 1.3301262549798263, + 1.273023962424168, + 1.2067694411899175, + 1.132538199936731, + 1.0516620588967096, + 0.9655896284335969, + 0.8758442896146522, + 0.783980795420427, + 0.6915416402793135, + 0.6000143453983985, + 0.5107907779410841, + 0.4251295642794466, + 0.3441225728418759, + 0.26866633267455275, + 0.19943912254736215, + 0.13688431561727904, + 0.08120040013453336, + 0.03233792162585716, + -0.009996589136247295, + -0.04632982066926418, + -0.07740431555234088, + -0.10415500489040297, + -0.12768027157983616, + -0.14920831500988693, + -0.170059713582951, + -0.19160718225895226, + -0.21523359764989025, + -0.24228941107738636, + -0.2740505892159212, + -0.3116782119560416, + -0.3561808181487568, + -0.4083805228782424, + -0.46888383650529675, + -0.5380579982452172, + -0.6160134984159636, + -0.702593307176327, + -0.7973691574800986, + -0.8996450503633586, + -1.0084679660670868, + -1.122645579518312, + -1.2407705980098307, + -1.3612511670923426, + -1.4823466320712058, + -1.6022078011097192, + -1.7189207353849467, + -1.8305529951111077, + -1.9352012000387433, + -2.031038721100081, + -2.11636230734641, + -2.18963646962508, + -2.2495344892430293, + -2.294974995096828, + -2.3251531546427597, + -2.3395656501940176, + -2.3380287593186635, + -2.3206890229919352, + -2.288026163605719, + -2.2408481025875577, + -2.1802781196249432, + -2.1077343875973886, + -2.0249023045527705, + -1.9337002217986377, + -1.8362393310138296, + -1.7347786191529528, + -1.6316759241862686, + -1.5293362242831947, + -1.4301583654076802, + -1.3364814756095873, + -1.2505323274428255, + -1.174374892532414, + -1.1098632847125698, + -1.0585992114736955, + -1.0218949495080765, + -1.0007427314258897, + -0.9957912803263581, + -1.0073300604908868, + -1.0352816300969139, + -1.079202289959158, + -1.1382910255508667, + -1.2114065427247682, + -1.2970920054281803, + -1.3936069009621224, + -1.4989652894131442, + -1.6109795428948417, + -1.727308550838453, + -1.8455092629057965, + -1.9630903636924328, + -2.07756682510563, + -2.1865140642883816, + -2.28762044762212, + -2.378736924330935, + -2.4579226454401697, + -2.523485523508168, + -2.5740168131767907, + -2.608418939090661, + -2.625925962500659, + -2.626116256835176, + -2.608917151290555, + -2.574601495425381, + -2.52377629208662, + -2.4573637359927702, + -2.3765751763091036, + -2.2828786891618327, + -2.1779610961789224, + -2.06368539418138, + -1.942044665974352, + -1.8151136202996325, + -1.6849989585732665, + -1.5537897859157772, + -1.4235092737964452, + -1.2960687417101884, + -1.173225256774161, + -1.0565437547661813, + -0.9473645663850199, + -0.8467770914483874, + -0.7556002049374987, + -0.6743698062571425, + -0.6033337411515437, + -0.5424541389662249, + -0.49141702105225166, + -0.4496488537425996, + -0.41633954603901574, + -0.39047123224418584, + -0.3708520372267023, + -0.3561539003428911, + -0.344953436257956, + -0.33577473940382574, + -0.3271329953148602, + -0.31757774762254326, + -0.3057346843637546, + -0.2903448510249974, + -0.2703002692429821, + -0.24467503745077177, + -0.21275111049105117, + -0.17403809622155275, + -0.12828656481331782, + -0.07549453677420358, + -0.01590699438652551, + 0.049991556309573554, + 0.12149126425849305, + 0.19767746798631744, + 0.27745703496424995, + 0.35958980257741874, + 0.4427242834741338, + 0.5254366854257537, + 0.606272207472842, + 0.6837875123302384, + 0.7565932413647095, + 0.8233954338288733, + 0.8830347365887508, + 0.9345223437389538, + 0.9770716859581716, + 1.010124995228802, + 1.033373998999093, + 1.0467741458012854, + 1.0505519280577746, + 1.0452050432097333, + 1.0314953169895187, + 1.0104344980396442, + 0.9832632164916507, + 0.9514235759326769, + 0.9165260139378669, + 0.8803112168322232, + 0.8446080057394624, + 0.8112882199204624, + 0.782219707096019, + 0.7592185867093229, + 0.7440019794130573, + 0.7381423936833651, + 0.7430249283256136, + 0.7598083884431414, + 0.7893913236129774, + 0.8323838826650818, + 0.8890862423461904, + 0.9594742105893248, + 1.0431924329191826, + 1.1395554469113658, + 1.2475566390913704, + 1.365884965890538, + 1.4929491100187084, + 1.6269085605630633, + 1.7657109338073618, + 1.907134696432292, + 2.0488363172669053, + 2.1884007614917476, + 2.3233941549599035, + 2.4514173882789985, + 2.5701594019717104, + 2.677448896162915, + 2.77130324083912, + 2.8499734250526862, + 2.911983974031126, + 2.9561668798372636, + 2.981688731202419, + 2.988070388042779, + 2.9751987220971716, + 2.9433301328261523, + 2.893085742629243 + ], + [ + 2.8479706909951115, + 2.770225540413605, + 2.677384752093201, + 2.5712278635485184, + 2.4537770170338136, + 2.327252667540984, + 2.1940249294872305, + 2.0565616993762394, + 1.9173747665699112, + 1.7789651699027418, + 1.6437690731234678, + 1.5141054167182353, + 1.3921265579674047, + 1.2797730362663653, + 1.178733498663948, + 1.0904106937706652, + 1.0158942937967066, + 0.9559411381553922, + 0.910963311905918, + 0.8810242827372007, + 0.8658431258646024, + 0.8648066718845363, + 0.876989223061584, + 0.9011793033365608, + 0.935912740930261, + 0.9795112338172828, + 1.0301254211515514, + 1.0857813809990033, + 1.1444293989228207, + 1.203993804852394, + 1.262422658316155, + 1.3177360748598865, + 1.3680720288903407, + 1.4117285391300414, + 1.4472012404891996, + 1.4732154679453822, + 1.4887521208662642, + 1.4930667364965382, + 1.4857013750118184, + 1.4664891012519121, + 1.4355510353995844, + 1.3932861317852108, + 1.3403540270048437, + 1.2776514711038502, + 1.206283014410551, + 1.127526763765693, + 1.0427961418954599, + 0.9535986795650664, + 0.8614929395829679, + 0.7680447130250327, + 0.6747836402444986, + 0.5831613920890459, + 0.4945125007594761, + 0.41001885613710265, + 0.3306787840929729, + 0.25728150082909396, + 0.1903875948265765, + 0.13031602912497364, + 0.07713798547667071, + 0.03067769276289452, + -0.00947980052547137, + -0.04397413131375221, + -0.07364880161122092, + -0.09952459525385214, + -0.12276794499219798, + -0.14465509573963262, + -0.16653302067940232, + -0.1897781333250651, + -0.21575389832913186, + -0.24576847530166435, + -0.2810335323074096, + -0.32262533896129253, + -0.3714491937765452, + -0.4282081579948407, + -0.4933769605860309, + -0.5671818091233911, + -0.649586692063546, + -0.7402865933202599, + -0.8387078640444224, + -0.944015813625843, + -1.055129396714755, + -1.1707426901866127, + -1.2893526780573934, + -1.409292697847125, + -1.528770752958038, + -1.6459117660712859, + -1.7588027416855831, + -1.8655397244760863, + -1.964275386266215, + -2.0532660495193644, + -2.130916960091995, + -2.1958246565254482, + -2.24681534663195, + -2.2829782930696507, + -2.3036933258348182, + -2.308651738324997, + -2.2978699814791783, + -2.2716957436312506, + -2.2308061878851215, + -2.1761983095150237, + -2.109171568422247, + -2.0313031412935225, + -1.9444163201233842, + -1.8505427536760732, + -1.7518793820570786, + -1.650741048017058, + -1.5495098785908523, + -1.4505826144200735, + -1.3563171195019434, + -1.2689793297239713, + -1.1906918936899267, + -1.1233857240710694, + -1.068755612828122, + -1.0282209706745484, + -1.0028926323099436, + -0.9935465271027065, + -1.000604853467912, + -1.0241252180783378, + -1.0637980125593027, + -1.1189521050287428, + -1.188568726499504, + -1.2713032375603392, + -1.3655142736289139, + -1.4692995919764478, + -1.58053778491632, + -1.6969348848880872, + -1.8160747720182266, + -1.9354722058897613, + -2.052627242848548, + -2.1650797696615296, + -2.2704628844366663, + -2.3665538863795486, + -2.451321696413913, + -2.5229696194193854, + -2.5799724736354697, + -2.6211072508049975, + -2.6454766284761875, + -2.652524829661395, + -2.6420455104887868, + -2.614181549025822, + -2.5694168033802627, + -2.508560099722781, + -2.432721896320482, + -2.343284243500621, + -2.2418648174510434, + -2.130275944078946, + -2.0104796444555895, + -1.8845398229091082, + -1.754572780469072, + -1.6226972686875012, + -1.4909853011610992, + -1.3614149124020005, + -1.235825996834309, + -1.115880276137281, + -1.003026333101682, + -0.8984705174297765, + -0.803154376863138, + -0.7177390995113588, + -0.6425972744973545, + -0.5778120925219532, + -0.5231839203297578, + -0.47824399802023776, + -0.4422748303084396, + -0.4143366766249463, + -0.3932993944820912, + -0.3778787595476389, + -0.3666762775893635, + -0.3582214205407063, + -0.3510151634057266, + -0.3435736718981712, + -0.3344709932002354, + -0.32237963390056124, + -0.3061079691653111, + -0.2846335139379239, + -0.257131198209388, + -0.2229959212955729, + -0.1818588112036336, + -0.13359678071266237, + -0.07833514752180035, + -0.016443267266247952, + 0.05147668923916771, + 0.12460750413127475, + 0.20194074463307715, + 0.28230601924836474, + 0.36440487593012044, + 0.4468484380332181, + 0.5281977749062522, + 0.6070059306938999, + 0.6818604891893596, + 0.7514255355817288, + 0.8144818881483532, + 0.8699645140749367, + 0.9169961126451067, + 0.9549159443209876, + 0.9833031033702505, + 1.0019935717126487, + 1.0110905490611297, + 1.0109677252778801, + 1.002265340868896, + 0.9858790661799391, + 0.9629419144858119, + 0.9347995841298007, + 0.9029797956247446, + 0.8691563468481162, + 0.8351087491568551, + 0.8026784258507174, + 0.7737225488825664, + 0.7500666576036421, + 0.7334572428539, + 0.7255154897776731, + 0.7276933530115101, + 0.7412330887440564, + 0.7671312907106009, + 0.8061083732872766, + 0.8585843169838385, + 0.9246613428926563, + 1.0041140166533726, + 1.096387103292501, + 1.2006013062860856, + 1.315566831990261, + 1.4398045289223789, + 1.5715741649835842, + 1.7089092292015662, + 1.849657482314422, + 1.9915263365445943, + 2.1321320228138108, + 2.2690514064814207, + 2.3998752428969725, + 2.5222616234201567, + 2.6339883521402663, + 2.73300301364477, + 2.817469542413776, + 2.88581018358518, + 2.9367418410633177, + 2.969305939685176, + 2.9828910802608624, + 2.9772479360917616, + 2.952496022925423, + 2.909122166780873, + 2.847970690995112 + ], + [ + 2.7956814236040453, + 2.708490404399532, + 2.6073235417628196, + 2.4941189262879284, + 2.371030608396663, + 2.2403815071146154, + 2.1046126270608867, + 1.966229769235949, + 1.8277489789527401, + 1.691642002026312, + 1.5602830174666666, + 1.4358978815086376, + 1.3205170547100704, + 1.215933292630034, + 1.1236650635245882, + 1.044926516462258, + 0.9806046637175242, + 0.9312442661756775, + 0.8970407240798213, + 0.8778410823453104, + 0.8731530645903639, + 0.8821618577567525, + 0.9037541844171011, + 0.9365490270885394, + 0.978934212295679, + 1.0291079255419258, + 1.085124115049565, + 1.1449406548280912, + 1.2064690783920626, + 1.2676246646426246, + 1.3263756576891985, + 1.3807904326134774, + 1.4290814785199375, + 1.4696451571096807, + 1.5010963072133399, + 1.5222969003569302, + 1.5323781060955333, + 1.5307552946521699, + 1.5171356840946961, + 1.4915185253624126, + 1.454187906257791, + 1.4056984403563875, + 1.346854284052661, + 1.2786820902430582, + 1.2023986563504154, + 1.1193741538257265, + 1.0310919327362833, + 0.9391059759550865, + 0.8449971308420801, + 0.750329270882798, + 0.6566065349780635, + 0.5652327581498928, + 0.4774741452650867, + 0.394426150608593, + 0.3169854130583235, + 0.24582746212535292, + 0.181390757666248, + 0.12386745953452014, + 0.0732011470533511, + 0.029091526443902452, + -0.008994018153107092, + -0.04180235303976142, + -0.07027049588663152, + -0.09549613987296993, + -0.11870359243776261, + -0.1412060404818567, + -0.16436515094061527, + -0.18954908688587468, + -0.21809006289045155, + -0.25124257816937545, + -0.29014345159543337, + -0.3357747394038266, + -0.38893054531028093, + -0.450188635628584, + -0.5198876512045115, + -0.5981105665982189, + -0.6846748884835409, + -0.7791299136618973, + -0.8807611867171314, + -0.9886021127007273, + -1.1014524959830778, + -1.2179035971842551, + -1.3363691304364114, + -1.4551214674289308, + -1.572332176706606, + -1.6861159100524856, + -1.7945765554862192, + -1.8958545108384994, + -1.988173894753823, + -2.0698885043505846, + -2.1395253509202976, + -2.1958246565254482, + -2.237775273975407, + -2.2646445985361336, + -2.2760021693189936, + -2.2717363084581828, + -2.2520633132686707, + -2.217528896492267, + -2.1690017580763152, + -2.107659364056884, + -2.034966199301275, + -1.9526449463821678, + -1.862641218115348, + -1.7670826319483792, + -1.6682331564418142, + -1.5684437799942605, + -1.4701006467214914, + -1.3755718716175007, + -1.2871542850850126, + -1.207021364623998, + -1.1371735886533378, + -1.0793923946042219, + -1.03519884179659, + -1.0058179711303552, + -0.9921497208936256, + -0.9947471042088354, + -1.013802182523997, + -1.049140185256656, + -1.1002219326863667, + -1.1661545221573142, + -1.2457100413876094, + -1.3373518819598875, + -1.4392680455302471, + -1.5494106693307343, + -1.665540850191138, + -1.7852777211486426, + -1.9061506347856765, + -2.025653235155616, + -2.14129815726373, + -2.2506710805874772, + -2.351482881321252, + -2.441618676440654, + -2.519182630084183, + -2.5825374972216903, + -2.630338008533122, + -2.66155735067499, + -2.675506163964094, + -2.6718436608300413, + -2.6505806587274434, + -2.6120745158872896, + -2.557016152558041, + -2.4864095294915125, + -2.4015441347529753, + -2.3039611951142307, + -2.1954144753144837, + -2.0778266537929966, + -1.953242364097774, + -1.8237790646606393, + -1.6915769442783315, + -1.5587490854457642, + -1.4273330923844036, + -1.2992453456740571, + -1.1762389720404258, + -1.0598665179846691, + -0.9514481921287082, + -0.8520463965429441, + -0.7624471055811521, + -0.6831484759492664, + -0.614356888272164, + -0.5559904328950287, + -0.5076896657515766, + -0.468835278514931, + -0.43857215543892175, + -0.41583913156574626, + -0.39940362722720407, + -0.38790021545063863, + -0.37987208490470287, + -0.37381429367661545, + -0.3682176700835697, + -0.3616122067973433, + -0.3526088139815927, + -0.3399383453478172, + -0.3224868867492619, + -0.2993263981835776, + -0.26973992425757265, + -0.23324073210009552, + -0.18958489571779047, + -0.13877701779856952, + -0.08106895960526132, + -0.016951632304750455, + 0.052859915790889986, + 0.1274477066305796, + 0.20571776067793754, + 0.286432022628767, + 0.3682444301973055, + 0.4497401624668544, + 0.5294770198712279, + 0.606027830281074, + 0.678022746395361, + 0.7441902994517225, + 0.8033961032063873, + 0.8546781594982875, + 0.8972778010888018, + 0.9306654167635979, + 0.9545602351716668, + 0.9689435942726842, + 0.9740652888011716, + 0.9704427646823932, + 0.9588531124162543, + 0.9403179964748036, + 0.9160818400737607, + 0.8875837596749894, + 0.856423906827118, + 0.8243250223127964, + 0.7930901352903462, + 0.7645574449264293, + 0.7405535012112181, + 0.722845853160387, + 0.7130963550572061, + 0.7128163141136952, + 0.7233246260126485, + 0.7457099790513811, + 0.7807981145825822, + 0.8291250133585341, + 0.8909167370820933, + 0.9660764953591514, + 1.0541793342153989, + 1.1544746576467135, + 1.26589660285324, + 1.3870820975587914, + 1.516396238883064, + 1.6519644522850534, + 1.7917107206154215, + 1.9334010214880355, + 2.0746909797884006, + 2.2131766344644648, + 2.346447137499816, + 2.4721381502107547, + 2.587984679100471, + 2.691872101075274, + 2.7818841657619013, + 2.856346830096754, + 2.9138668756973978, + 2.953364380496239, + 2.9740982598069534, + 2.9756842549364655, + 2.958104925704238, + 2.9217113924624556, + 2.867216768829966, + 2.7956814236040435 + ], + [ + 2.73666033131934, + 2.6407552719764915, + 2.5321007155241864, + 2.412776920632147, + 2.285051641838668, + 2.151330637503729, + 2.0141051867285005, + 1.8758978390956615, + 1.739207661264435, + 1.6064562541646872, + 1.4799357935648612, + 1.3617602956799655, + 1.2538212295166642, + 1.1577484908069893, + 1.074877621301064, + 1.006224005104552, + 0.9524646044011117, + 0.9139276144559182, + 0.8905902267302214, + 0.8820844939316673, + 0.8877110966524817, + 0.9064606226514497, + 0.9370417914145833, + 0.9779158927237205, + 1.0273365625472215, + 1.0833938961548477, + 1.1440617999131621, + 1.2072474120805776, + 1.2708413807560748, + 1.332767774887742, + 1.3910324221207855, + 1.443768514718822, + 1.4892784005559925, + 1.526070578281692, + 1.5528910415879116, + 1.5687482638620014, + 1.572931277684733, + 1.5650204795246838, + 1.5448909741688177, + 1.5127084613030348, + 1.4689178535212186, + 1.414224996238535, + 1.349572031007252, + 1.2761071003375142, + 1.1951492304363922, + 1.1081493448860218, + 1.016648454324882, + 0.9222341324342207, + 0.8264964253983779, + 0.7309843496505761, + 0.6371641110157992, + 0.5463801279368652, + 0.45981986365534344, + 0.3784833690384698, + 0.303158311853203, + 0.23440112291377582, + 0.17252472837986835, + 0.11759316466266574, + 0.06942319229907552, + 0.027592842353688203, + -0.008543351957843726, + -0.03983286007423079, + -0.06729798037370381, + -0.09210372130317576, + -0.11552160017828172, + -0.13889032980475527, + -0.16357444552555245, + -0.1909219807779011, + -0.22222232632453384, + -0.25866540629319845, + -0.3013032730405296, + -0.35101516340572775, + -0.40847697260558546, + -0.4741359909924079, + -0.5481916159218816, + -0.6305825993860363, + -0.7209812256566451, + -0.8187946361343399, + -0.9231733353590655, + -1.033026727322304, + -1.1470453494907966, + -1.263729297897482, + -1.3814221746845674, + -1.498349743709344, + -1.612662353960221, + -1.7224800878026492, + -1.8259395141342667, + -1.9212408773881249, + -2.00669453330556, + -2.08076545210412, + -2.14211464894957, + -2.1896364696250803, + -2.2224907543787533, + -2.2401290228481217, + -2.242313964809801, + -2.229131681834677, + -2.2009962998279624, + -2.1586467576125568, + -2.103135767622317, + -2.0358111367059415, + -1.9582898232631136, + -1.872425286785514, + -1.7802688528953183, + -1.684025967011508, + -1.5860083390870898, + -1.488583087211973, + -1.3941200666128888, + -1.3049386207023461, + -1.2232550110325942, + -1.1511317727307215, + -1.0904302014109786, + -1.0427671076063771, + -1.0094768770855134, + -0.9915797523547354, + -0.989757105150929, + -1.0043343053186908, + -1.035271612118939, + -1.0821633240841113, + -1.1442452276318134, + -1.220410187536627, + -1.309231528834481, + -1.4089936745044416, + -1.517729330847933, + -1.6332623570598883, + -1.7532553208410333, + -1.8752606313061406, + -1.9967740565819974, + -2.115289378388377, + -2.228352910877966, + -2.3336166166625283, + -2.428888589106527, + -2.5121797357143008, + -2.5817455911354608, + -2.636122307646105, + -2.674156012985226, + -2.6950248866379822, + -2.698253482095634, + -2.6837190099530397, + -2.6516494903348473, + -2.6026138783287536, + -2.5375044580760306, + -2.4575119852402203, + -2.3640942292612137, + -2.2589387219331627, + -2.1439206536656488, + -2.021056970050477, + -1.8924578063999347, + -1.760276454738285, + -1.6266590850075258, + -1.4936954394151734, + -1.3633716860749034, + -1.237526556279184, + -1.1178118005217317, + -1.0056578840568198, + -0.9022457062592746, + -0.8084849727943795, + -0.7249996795377327, + -0.6521209865789926, + -0.5898875740279566, + -0.5380533833856272, + -0.4961024636366447, + -0.4632704645608422, + -0.4385721554389216, + -0.42083419941274774, + -0.40873228590830296, + -0.4008316188840016, + -0.3956296797878505, + -0.3916001329030956, + -0.38723671844663465, + -0.3810959858445995, + -0.37183775579534456, + -0.35826226406126854, + -0.3393430307225448, + -0.314254613530619, + -0.28239454006744247, + -0.24339886716938122, + -0.19715098359294042, + -0.14378344892120842, + -0.08367284373729592, + -0.01742778850376949, + 0.054129533242195646, + 0.12998784235805672, + 0.2089765608560392, + 0.2898001372498206, + 0.3710759810124555, + 0.45137499147781324, + 0.529263597329412, + 0.6033461814064526, + 0.6723067529888792, + 0.7349487463463334, + 0.7902318697599616, + 0.8373050023356755, + 0.8755342349084464, + 0.9045252737226311, + 0.924139568304307, + 0.9345036844436323, + 0.9360116154773372, + 0.9293199057757117, + 0.9153356449487754, + 0.8951975751404438, + 0.8702507322374491, + 0.8420152103675086, + 0.8121497934258121, + 0.7824113336238897, + 0.7546108717196534, + 0.7305675837151586, + 0.7120617020588823, + 0.7007875940894017, + 0.698308185643408, + 0.706011893193685, + 0.725073174094063, + 0.7564177227297715, + 0.8006932325448205, + 0.8582465126365985, + 0.9291075960552228, + 1.0129813088152386, + 1.1092465880340148, + 1.2169636489870561, + 1.3348889088574019, + 1.4614973842892254, + 1.5950120952481828, + 1.733439833715513, + 1.8746124967191535, + 2.01623304309241, + 2.1559250156494256, + 2.291284478131186, + 2.4199331516405493, + 2.539571500006037, + 2.6480305085288536, + 2.743320926068041, + 2.8236787958484255, + 2.887606184442077, + 2.933906129078267, + 2.961710958124502, + 2.9705032950058143, + 2.9601292282325993, + 2.9308033154104014, + 2.88310528261219, + 2.817968477602512, + 2.7366603313193383 + ], + [ + 2.671406759289074, + 2.5675932130152797, + 2.4523526925259986, + 2.3278900367567013, + 2.1965675383228365, + 2.06085346936121, + 1.923268342390367, + 1.786330157960029, + 1.6524999131180422, + 1.5241286362917663, + 1.403407175289794, + 1.292319896755969, + 1.1926033592485266, + 1.105710900549577, + 1.032783935831155, + 0.9746306004567173, + 0.9317121934828074, + 0.9041376897055378, + 0.8916663939835783, + 0.893718616314084, + 0.9093940545121244, + 0.9374973880223013, + 0.976570415836018, + 1.0249299178401092, + 1.0807102858994462, + 1.141909861779981, + 1.2064398362587907, + 1.272174509395977, + 1.3370016872080592, + 1.3988719953974789, + 1.4558459261263046, + 1.5061374981034017, + 1.5481535017986625, + 1.580527418050166, + 1.6021472367227212, + 1.6121765589058608, + 1.6100685374517, + 1.5955723921448859, + 1.5687324229207442, + 1.5298796326271669, + 1.4796162551706415, + 1.418793660910581, + 1.3484842744995877, + 1.2699482869670153, + 1.184596070092117, + 1.0939473039094936, + 0.9995879050243655, + 0.9031258924332517, + 0.80614734759158, + 0.7101736161156686, + 0.6166208600622236, + 0.526763003232478, + 0.44169901914131854, + 0.36232539457300716, + 0.2893144640106415, + 0.22309915519457008, + 0.1638645175871243, + 0.1115462278831771, + 0.06583608442060916, + 0.026194320037817253, + -0.008131614779621977, + -0.03808231521885444, + -0.06475640389875564, + -0.08937604094065695, + -0.11324888930813824, + -0.13772755566852765, + -0.1641675941598234, + -0.1938851996975764, + -0.22811572781285566, + -0.2679741591883377, + -0.3144185795033957, + -0.36821767008356876, + -0.429923104042681, + -0.4998476186236321, + -0.5780493903889423, + -0.6643231793956956, + -0.7581985355415692, + -0.8589451792369789, + -0.9655854840009983, + -1.0769138051485072, + -1.191522221066235, + -1.3078320861618935, + -1.4241306416607853, + -1.5386117959100136, + -1.6494200731697042, + -1.7546966419230325, + -1.8526262728076621, + -1.9414840439764902, + -2.0196806089385957, + -2.0858048688801025, + -2.138662947546813, + -2.177312450685709, + -2.201091101794102, + -2.20963897886936, + -2.2029137297614754, + -2.1811983128745287, + -2.1451009911988503, + -2.095547496531515, + -2.033765472607068, + -1.9612614959772794, + -1.8797911571455028, + -1.7913228571235582, + -1.6979961319469776, + -1.6020754558343955, + -1.505900589154881, + -1.411834627268509, + -1.3222109683543666, + -1.2392804509392612, + -1.165159914117923, + -1.101783405281886, + -1.050857202170542, + -1.013819729578666, + -0.991807338155669, + -0.9856267761213969, + -0.9957350276937061, + -1.0222270183726256, + -1.064831501163337, + -1.122915243863083, + -1.1954954403996336, + -1.2812600736866036, + -1.3785957683125154, + -1.4856224932107924, + -1.6002343116040467, + -1.7201452319423995, + -1.8429390927530578, + -1.966122319222917, + -2.0871783222512255, + -2.203622273255477, + -2.3130549810829555, + -2.413214621118206, + -2.502025120478147, + -2.5776400857097927, + -2.6384812686071917, + -2.6832706989490362, + -2.7110557668462443, + -2.721226708195496, + -2.713526130266136, + -2.6880504062031534, + -2.645242962511949, + -2.5858796776249475, + -2.5110467976986923, + -2.4221119532695568, + -2.3206890229919357, + -2.2085977344534315, + -2.0878190135369077, + -1.9604471900644251, + -1.8286402362255223, + -1.6945692539572468, + -1.5603684371217519, + -1.4280867138782585, + -1.299642224672844, + -1.1767807131037322, + -1.0610388025878708, + -0.9537130039264486, + -0.8558351507882144, + -0.7681547955407647, + -0.6911289209023596, + -0.6249191380007085, + -0.5693963532357292, + -0.5241526995492061, + -0.4885203469581226, + -0.4615966370021289, + -0.4422748303084392, + -0.42927961963167005, + -0.42120644585167866, + -0.41656356432315483, + -0.4138157458557022, + -0.41142846197210636, + -0.407911398739552, + -0.40186016745268943, + -0.39199513309255113, + -0.3771963613969315, + -0.3565337904796537, + -0.3292918605221177, + -0.29498798186296704, + -0.25338438408413555, + -0.2044930623019659, + -0.14857371740784567, + -0.08612476987987615, + -0.01786770736639822, + 0.0552748000549382, + 0.1322064206160272, + 0.21168957424325158, + 0.29238186733774235, + 0.37287557217438294, + 0.4517390936728939, + 0.5275593129320832, + 0.5989836720329748, + 0.6647608688606497, + 0.7237790639866841, + 0.7751005631809167, + 0.8179920273581399, + 0.8519493745130021, + 0.8767166726367634, + 0.8922984753753775, + 0.898965219446884, + 0.8972514803854301, + 0.8879470665524921, + 0.8720811159331128, + 0.8508995413585716, + 0.825836342887985, + 0.7984794667545038, + 0.7705320344544662, + 0.7437698895538637, + 0.7199965104266489, + 0.7009964118233398, + 0.6884882049390738, + 0.6840785032439018, + 0.6892178492174693, + 0.7051597954976602, + 0.7329242037477564, + 0.7732657274223975, + 0.8266483228967113, + 0.8932264900599485, + 0.9728337819547523, + 1.0649789473144096, + 1.1688498842236978, + 1.283325392170198, + 1.4069945181704009, + 1.5381831051825223, + 1.674986972298805, + 1.8153109906800307, + 1.9569131709734435, + 2.097452750742854, + 2.2345411674254656, + 2.3657947261123513, + 2.4888877239711906, + 2.6016047756296126, + 2.701891096817294, + 2.78789954677827, + 2.8580333024215236, + 2.910983137166965, + 2.945758402576323, + 2.961710958124503, + 2.958551460310716, + 2.9363576027139078, + 2.8955740891874577, + 2.8370043185334235, + 2.7617939559274016, + 2.671406759289075 + ], + [ + 2.6004727822601934, + 2.489623211640909, + 2.368754177129203, + 2.2401764561109196, + 2.106326913404415, + 1.9697154804709205, + 1.8328706148537182, + 1.6982845089412868, + 1.5683593212985734, + 1.4453556773084175, + 1.3313446293816584, + 1.2281641819336766, + 1.1373813747895216, + 1.0602607834186533, + 0.9977401387415423, + 0.9504135970182511, + 0.9185230057495506, + 0.9019573191179145, + 0.9002601209779583, + 0.9126450195527065, + 0.9380184905341525, + 0.9750095687899774, + 1.0220056276318932, + 1.0771933425111384, + 1.1386038165009147, + 1.2041607508693677, + 1.27173047767259, + 1.3391726341511625, + 1.4043902516175593, + 1.4653780545538295, + 1.5202678181334401, + 1.5673697129454964, + 1.605208672250155, + 1.6325549469086669, + 1.6484481629182515, + 1.6522143624609147, + 1.6434756873740084, + 1.6221525495071147, + 1.5884583209056584, + 1.5428867634553667, + 1.4861925978870254, + 1.4193657814020562, + 1.3436002174419381, + 1.2602577564795698, + 1.1708284598294598, + 1.076888186589298, + 0.9800546248018008, + 0.8819429203091652, + 0.78412205982799, + 0.6880731385007428, + 0.5951505873163264, + 0.5065473537885781, + 0.42326492226737417, + 0.34608893098774784, + 0.27557099474779784, + 0.21201717872883752, + 0.15548339459011257, + 0.10577780901747745, + 0.062470171973788687, + 0.02490779162792029, + -0.007762290101282757, + -0.03656552887523925, + -0.06266726934884133, + -0.08733617619556955, + -0.11190468798970658, + -0.13772755566852757, + -0.1661395785375796, + -0.19841367347196812, + -0.23572040651203202, + -0.27909008059304274, + -0.3293784095566137, + -0.38723671844663443, + -0.45308749564512746, + -0.5271059865178583, + -0.6092083643229051, + -0.6990468460525366, + -0.7960119428556621, + -0.8992418512068475, + -1.0076388066737072, + -1.119892041641803, + -1.2345068162498605, + -1.3498388324320378, + -1.4641331984086545, + -1.575566988850536, + -1.6822943473974943, + -1.7824930057876274, + -1.8744110494521324, + -1.9564127442541204, + -2.0270222535768094, + -2.0849641189322448, + -2.129199449667807, + -2.1589568664842402, + -2.173757366965771, + -2.173432426168811, + -2.1581348079913343, + -2.1283417395692266, + -2.084850286985238, + -2.0287649615506282, + -1.9614777771167977, + -1.8846411655655586, + -1.8001343351848307, + -1.7100238206505092, + -1.6165191197183602, + -1.5219244368246287, + -1.4285876544587843, + -1.338847726864064, + -1.254981735456431, + -1.1791528601550876, + -1.1133605051492281, + -1.0593937717964896, + -1.0187893964125894, + -0.992795168438035, + -0.982339717301961, + -0.9880094073030258, + -1.0100329125922065, + -1.0482738629216586, + -1.1022317596198732, + -1.1710511649117858, + -1.2535389709988394, + -1.348189363035528, + -1.453215906968069, + -1.5665900235977492, + -1.6860849583274622, + -1.809324225541813, + -1.933833400634486, + -2.0570940539038345, + -2.176598570797404, + -2.2899045834952703, + -2.394687750036659, + -2.4887916588183066, + -2.5702737072860495, + -2.6374459022450365, + -2.6889096529947905, + -2.72358377440517, + -2.740725081501183, + -2.739941136080701, + -2.7211948949611244, + -2.684801204008127, + -2.6314152773831148, + -2.5620134926861335, + -2.477867015205046, + -2.3805089338686924, + -2.271695743631247, + -2.153364140208671, + -2.0275842001900313, + -1.8965100999997462, + -1.7623295790959768, + -1.6272133749689794, + -1.4932658494989846, + -1.3624779883413332, + -1.2366838882595823, + -1.1175217534687738, + -1.0064003034914386, + -0.9044713547847733, + -0.8126091800158186, + -0.7313970763312785, + -0.6611213916197733, + -0.6017730701623636, + -0.5530565908957673, + -0.5144059874611524, + -0.485007463854056, + -0.46382795717735364, + -0.44964885374259905, + -0.4411039401458674, + -0.43672057001959197, + -0.4349629523908965, + -0.43427642076003486, + -0.43313152424730716, + -0.4300667938116491, + -0.42372907724930914, + -0.4129104053399654, + -0.3965804463235741, + -0.37391372441413606, + -0.34431091724409363, + -0.3074137034279617, + -0.26311280085276384, + -0.21154901453666006, + -0.15310729541946314, + -0.08840399362832711, + -0.018267666979993245, + 0.0562860267536427, + 0.13408467122851095, + 0.21383384751866694, + 0.294155370287742, + 0.37362797832753347, + 0.4508293885827676, + 0.5243785856964405, + 0.5929772109639982, + 0.655448935604947, + 0.7107757529398732, + 0.758130201169902, + 0.7969026310732116, + 0.8267227584936804, + 0.8474748868547104, + 0.8593063464393165, + 0.8626288707776425, + 0.8581128118074799, + 0.8466742799539766, + 0.8294554782576363, + 0.8077986765400605, + 0.7832144378569952, + 0.7573448609270892, + 0.7319227349862192, + 0.7087276142049952, + 0.6895399045710414, + 0.6760941147462859, + 0.6700324523045555, + 0.6728599470933873, + 0.6859022541389774, + 0.7102672301577083, + 0.7468112917102292, + 0.7961114513857551, + 0.8584437938290653, + 0.9337689991909626, + 1.0217253514616578, + 1.1216294873057613, + 1.2324849519278847, + 1.3529984368197934, + 1.4816033847093055, + 1.6164904643392404, + 1.7556442463860382, + 1.8968852561435845, + 2.037916442432638, + 2.176372988960309, + 2.3098743068982976, + 2.436076987993786, + 2.552727467607522, + 2.657713147499329, + 2.7491107590166894, + 2.825230807902707, + 2.8846570308099966, + 2.92627990867318, + 2.949323420594559, + 2.953364380496241, + 2.938343873651448, + 2.904570497089063, + 2.852715302230651, + 2.783798535243186, + 2.699168465677254, + 2.6004727822601916 + ], + [ + 2.5244585337763614, + 2.407504929346844, + 2.2820124506028248, + 2.150378275277923, + 2.015093243604572, + 1.8786877394592922, + 1.7436768097989623, + 1.6125057980712536, + 1.4874977532868834, + 1.3708038320928193, + 1.2643578375875195, + 1.1698359375912846, + 1.088622479116412, + 1.0217826679715583, + 0.970042716413107, + 0.9337778815965645, + 0.9130086276977427, + 0.9074049496148499, + 0.9162987008942823, + 0.9387035777118394, + 0.9733422290371112, + 1.018679794930724, + 1.0729630243507482, + 1.1342639945146156, + 1.200527348885611, + 1.2696198927324558, + 1.3393813357838398, + 1.4076749518937, + 1.47243693623599, + 1.5317232810019885, + 1.5837530597845568, + 1.6269471069996482, + 1.659961199350684, + 1.6817129884203201, + 1.6914020933874745, + 1.6885229365917702, + 1.6728700878464031, + 1.644536071452424, + 1.603901778100535, + 1.5516198075750303, + 1.4885912428351593, + 1.4159365173147145, + 1.3349611811670714, + 1.247117495148118, + 1.1539628798611599, + 1.0571163207773042, + 0.9582138740467829, + 0.8588644335915349, + 0.760606906008649, + 0.6648698968470036, + 0.572934941000952, + 0.48590421314714866, + 0.4046735338345898, + 0.3299113461117087, + 0.2620441800336281, + 0.20124895205213114, + 0.14745226748188928, + 0.10033671149941129, + 0.05935393210100695, + 0.023744141736505943, + -0.0074385025767261794, + -0.035295333742206024, + -0.06104825174759757, + -0.08600138524670661, + -0.11150036877439908, + -0.13889032980475513, + -0.16947371477865178, + -0.20446908916378728, + -0.2449720233991107, + -0.2919191247822168, + -0.34605619626853124, + -0.4079113987395534, + -0.47777416617795837, + -0.5556804765481431, + -0.6414049187046924, + -0.7344598214239959, + -0.8341015290622845, + -0.9393437239646194, + -1.048977513238031, + -1.1615978214735796, + -1.275635465915659, + -1.3893941406261974, + -1.5010914051967148, + -1.6089026648762186, + -1.7110070454078374, + -1.8056340095801342, + -1.8911095349995417, + -1.9659006746613532, + -2.028657353584429, + -2.0782503153855503, + -2.11380422078689, + -2.1347250135690183, + -2.1407208056590648, + -2.1318156885659736, + -2.108356049440247, + -2.0710091524468166, + -2.0207539354085418, + -1.9588641631352768, + -1.8868842677659259, + -1.8065983881371575, + -1.7199932901400257, + -1.629216004003162, + -1.5365271486017076, + -1.4442510238717805, + -1.3547236374108311, + -1.270239888203009, + -1.1930011576509734, + -1.1250645549759197, + -1.068295030565885, + -1.024321507755357, + -0.9944980922846803, + -0.9798713014854625, + -0.9811541148809595, + -0.9987074877616728, + -1.03252979327032, + -1.082254470874573, + -1.1471559643781957, + -1.2261638355563962, + -1.3178847448955513, + -1.4206318035096588, + -1.5324606246621015, + -1.6512112437200124, + -1.7745549356990384, + -1.9000448432183228, + -2.025169237510477, + -2.1474061733082928, + -2.2642782664547063, + -2.3734063217199175, + -2.472560567574459, + -2.559708313824889, + -2.633056935603002, + -2.691091201049688, + -2.7326040973472203, + -2.756720467154273, + -2.7629129411225435, + -2.7510098377653076, + -2.721194894961125, + -2.6739988930888114, + -2.6102834234216368, + -2.5312172422364703, + -2.4382458265690103, + -2.3330549074073383, + -2.217528896492263, + -2.09370524039968, + -1.9637258274024982, + -1.8297866365702649, + -1.694086853176544, + -1.5587786789886067, + -1.425919040394779, + -1.2974243423107426, + -1.1750293328501613, + -1.0602510349878054, + -0.9543585696589935, + -0.8583495432656445, + -0.7729335052148069, + -0.6985228021034907, + -0.6352309689662744, + -0.5828786092715854, + -0.5410065287912939, + -0.5088957087161688, + -0.48559353490510465, + -0.4699455471081499, + -0.4606318381663642, + -0.45620712185322143, + -0.45514340190135777, + -0.4558741159383555, + -0.45683859793259707, + -0.4565257020010976, + -0.4535154589951804, + -0.44651769436178484, + -0.434406619870101, + -0.4162505207113139, + -0.39133579042039623, + -0.35918471568047833, + -0.3195665775352805, + -0.2725018106672425, + -0.21825914374826252, + -0.157345826834615, + -0.09049123171837585, + -0.018624283505239765, + 0.057154657902852825, + 0.13560670334540784, + 0.21539123916007996, + 0.29510564146234347, + 0.3733268337753839, + 0.4486535727241431, + 0.5197483260141927, + 0.5853776155781213, + 0.6444497363908142, + 0.6960488271014249, + 0.7394643606687108, + 0.7742152393165215, + 0.8000678154371842, + 0.8170473151162537, + 0.8254423098360311, + 0.8258020603880429, + 0.8189267405901145, + 0.8058507324309471, + 0.7878193641054019, + 0.766259633504649, + 0.7427456177476837, + 0.7189594102641864, + 0.6966485471654891, + 0.6775809810835545, + 0.6634987308201483, + 0.6560713771856866, + 0.6568505881739387, + 0.6672268396993486, + 0.6883894518426209, + 0.7212909859654644, + 0.7666169469333379, + 0.8247616094573016, + 0.8958106412701802, + 0.9795310320566972, + 1.0753686597742123, + 1.1824536395863052, + 1.299613409678601, + 1.4253933174506794, + 1.5580842837022828, + 1.6957569460664295, + 1.8363015204732716, + 1.977472474907558, + 2.116936986765776, + 2.25232605681764, + 2.3812870816193303, + 2.5015366440368694, + 2.6109122694305666, + 2.70742191339984, + 2.789289995417681, + 2.8549988700796405, + 2.9033247322243034, + 2.9333670813519053, + 2.9445710214673486, + 2.936741841063321, + 2.9100515003551832, + 2.8650368446554793, + 2.802589559271468, + 2.7239380777440068, + 2.6306218468379576, + 2.524458533776359 + ], + [ + 2.4440071287765908, + 2.321933123960239, + 2.192861387204358, + 2.0592552275017, + 1.9236384070535206, + 1.7885403822058066, + 1.6564415471775198, + 1.5297197520591994, + 1.4105993345386278, + 1.3011038429905901, + 1.2030135384778242, + 1.1178286470697603, + 1.046739194550244, + 0.99060209647652, + 0.9499260015719737, + 0.9248641998718716, + 0.9152157134609856, + 0.9204344917772574, + 0.9396464400889171, + 0.9716738235978234, + 1.0150664152090911, + 1.0681385965703871, + 1.1290114833578564, + 1.195659030309826, + 1.2659569819488419, + 1.3377334734084836, + 1.4088200537205564, + 1.4771019020178353, + 1.5405660353200028, + 1.5973463641046468, + 1.6457645372078882, + 1.684365628553081, + 1.7119478519451785, + 1.7275856433096695, + 1.730645618441746, + 1.720795094331463, + 1.69800304893977, + 1.6625335832564978, + 1.6149321358692612, + 1.5560048794811587, + 1.486791896393383, + 1.4085348817744954, + 1.3226402558310828, + 1.23063867552956, + 1.1341420206255102, + 1.0347989854051536, + 0.9342504353937521, + 0.8340856867211265, + 0.7358008349755973, + 0.6407602010784283, + 0.5501618755366231, + 0.46500823161914434, + 0.3860821454018063, + 0.31392950963338156, + 0.24884846284156772, + 0.19088557923481397, + 0.13983908323191646, + 0.09526896947610604, + 0.05651372960170231, + 0.022713215368213132, + -0.007162991594925516, + -0.034282476245350066, + -0.05991304871654465, + -0.08538296102949522, + -0.11203935238573358, + -0.1412060404818565, + -0.17414179458172635, + -0.21200021521617415, + -0.25579230560882255, + -0.3063527522368105, + -0.364310838016781, + -0.430066793811648, + -0.5037742552376203, + -0.585329335598726, + -0.6743666561151269, + -0.7702624957138768, + -0.8721450390263941, + -0.9789115175204591, + -1.0892518595304574, + -1.2016782948743792, + -1.3145602030765318, + -1.4261633549380637, + -1.5346925788717607, + -1.6383367890833183, + -1.735315244782923, + -1.8239238699370461, + -1.9025804527060082, + -1.9698675630136058, + -2.0245720752754988, + -2.0657202600560547, + -2.0926075115068157, + -2.104821904380746, + -2.1022609221318524, + -2.085140862492756, + -2.0539986049307006, + -2.0096856111376478, + -1.9533542206070305, + -1.886436493670526, + -1.810616039397509, + -1.7277934409038795, + -1.640046051516404, + -1.5495830778763078, + -1.4586969868694464, + -1.3697123691970516, + -1.2849334610190954, + -1.2065915646458176, + -1.1367936186727585, + -1.0774731469388084, + -1.0303447646752282, + -0.9968633403826549, + -0.9781888052116776, + -0.9751574704834813, + -0.9882605616256367, + -1.0176305068957192, + -1.0630353359375526, + -1.1238813509116867, + -1.1992240363376137, + -1.2877869776644926, + -1.387988367725807, + -1.497974499282007, + -1.6156594752242766, + -1.738770219763809, + -1.864895747677091, + -1.9915395474948374, + -2.1161738608711227, + -2.2362945960394285, + -2.3494755993223584, + -2.453421025439071, + -2.5460145944221364, + -2.6253645991464434, + -2.6898436309077085, + -2.738122118621088, + -2.769194926893301, + -2.782400425781163, + -2.7774316263778083, + -2.7543391670244213, + -2.7135261302661373, + -2.6557348658836855, + -2.5820261856743025, + -2.493751476490226, + -2.392518444975239, + -2.2801513564225497, + -2.1586467576125576, + -2.0301257763148017, + -1.8967841659043339, + -1.7608413104693073, + -1.6244894228086881, + -1.4898441545111758, + -1.3588977942889355, + -1.233476159069015, + -1.1152001838823484, + -1.0054530938544715, + -0.9053538977079112, + -0.815737780764871, + -0.7371438005474424, + -0.6698101040931475, + -0.6136766976330601, + -0.5683956110173509, + -0.533348115900428, + -0.5076684827658673, + -0.4902736016849754, + -0.4798976492154612, + -0.47513086256165277, + -0.4744613850022191, + -0.47631907600282897, + -0.479120137059511, + -0.4813113911450072, + -0.4814130699036939, + -0.4780590079720511, + -0.4700332167773781, + -0.4563019089808847, + -0.4360401668300205, + -0.40865258993644643, + -0.37378741676602945, + -0.33134378537073744, + -0.28147197825596576, + -0.22456667920727508, + -0.16125345175957176, + -0.09236882517129458, + -0.018934539804963377, + 0.05787334448998616, + 0.13675963988628156, + 0.21634857292947668, + 0.29522464113740704, + 0.3719746863371149, + 0.4452300544837528, + 0.5137077079774682, + 0.5762491818911644, + 0.6318563294207974, + 0.6797228829279429, + 0.7192609631343726, + 0.7501217976884934, + 0.7722100582232709, + 0.7856913884469343, + 0.7909928706388366, + 0.7887963597583033, + 0.7800247986277323, + 0.7658218096683143, + 0.7475250338426936, + 0.7266338513530478, + 0.7047722670905249, + 0.683647873048018, + 0.6650079065829906, + 0.6505935047997604, + 0.6420933092876664, + 0.6410976005616966, + 0.6490541370826298, + 0.6672268396993486, + 0.6966583995103566, + 0.7381377969584867, + 0.792173604611732, + 0.8589738083354065, + 0.9384327247820129, + 1.0301254211515525, + 1.1333098602302172, + 1.2469368043045055, + 1.3696673203473022, + 1.4998975406136608, + 1.63579015213585, + 1.7753119200601855, + 1.916276397523894, + 2.0563908426350754, + 2.193306254410596, + 2.324669356991618, + 2.448175307199775, + 2.561619875930647, + 2.6629498596879797, + 2.750310514678154, + 2.8220888714990053, + 2.8769518820328543, + 2.913878469463247, + 2.9321846945152994, + 2.931541412641797, + 2.9119839740311306, + 2.873913706702453, + 2.8180911180019272, + 2.7456209467775006, + 2.6579293925934917, + 2.556734034822592, + 2.444007128776592 + ], + [ + 2.359799222551847, + 2.233631771676338, + 2.1020552452714583, + 1.9675782550000755, + 1.8327361530522581, + 1.7000360961449617, + 1.5719028767855645, + 1.4506267783154905, + 1.3383146604733391, + 1.2368454034491319, + 1.1478307325816457, + 1.072582315580478, + 1.012085872630845, + 0.9669828706777561, + 0.9375601907286139, + 0.9237479656250496, + 0.9251255900950052, + 0.9409357097825105, + 0.970105806123307, + 1.011276814011261, + 1.062838043554673, + 1.122967529866738, + 1.1896768093278007, + 1.2608590201123795, + 1.3343391513876537, + 1.4079252211831936, + 1.479459148507625, + 1.5468661011094729, + 1.608201145862587, + 1.6616921028839802, + 1.7057776052439326, + 1.739139490931276, + 1.7607287994284657, + 1.7697848081587437, + 1.7658467201012136, + 1.7487577986222007, + 1.718661934430468, + 1.675992817825508, + 1.6214560723938214, + 1.5560048794811587, + 1.4808097818468073, + 1.3972234959673455, + 1.306741682037595, + 1.2109607158946176, + 1.111533575560684, + 1.0101249952288016, + 0.9083670503772896, + 0.8078163191089744, + 0.7099137173146441, + 0.6159480301309781, + 0.5270240613620923, + 0.4440361986638289, + 0.36764804852786187, + 0.2982786351212348, + 0.23609548491019008, + 0.18101473910039903, + 0.13270825282395404, + 0.0906174583382572, + 0.05397359387422517, + 0.02182373462661702, + -0.0069380881034569125, + -0.03353552561741789, + -0.059271264587010396, + -0.08548613569265315, + -0.11351707877846559, + -0.14465509573963237, + -0.18010432387934036, + -0.22094333489485218, + -0.26808970865744103, + -0.3222688479372689, + -0.38398789227185515, + -0.4535154589951802, + -0.530867790305497, + -0.615801720905784, + -0.7078147053403604, + -0.8061519620968004, + -0.9098206074388099, + -1.017610470436263, + -1.1281211063570078, + -1.2397943629026131, + -1.3509517068424615, + -1.4598353911763093, + -1.5646524382998037, + -1.6636203354619503, + -1.7550132871564572, + -1.8372078463634904, + -1.9087267534170855, + -1.9682798476403804, + -2.0148009819531207, + -2.047479962881758, + -2.0657886555797123, + -2.0695005327544598, + -2.0587031044020705, + -2.0338028380983375, + -1.9955223630402705, + -1.9448899405503992, + -1.8832213746666278, + -1.812094724013943, + -1.733318355735293, + -1.6488930493789642, + -1.5609690091292405, + -1.4717987728592894, + -1.3836871129083634, + -1.2989391035481168, + -1.2198075817562668, + -1.1484412498109786, + -1.0868346597357441, + -1.0367812808910957, + -0.9998307838993842, + -0.9772515781993131, + -0.9699995191422555, + -0.9786935565754016, + -1.0035989337808295, + -1.0446183674005327, + -1.1012914498990327, + -1.172802320791508, + -1.2579954560482802, + -1.3553992315690506, + -1.463256731118228, + -1.5795630961483698, + -1.7021085587309481, + -1.8285261631709202, + -1.9563430701126014, + -2.0830342517713523, + -2.206077330422751, + -2.323007285818487, + -2.4314697614120666, + -2.5292717340522186, + -2.6144283762742484, + -2.6852050328993426, + -2.740153352061619, + -2.778140752114858, + -2.7983725666575405, + -2.8004063862155433, + -2.7841583026199377, + -2.749900956225971, + -2.698253482095637, + -2.6301636443274705, + -2.5468826331589933, + -2.449933172779057, + -2.3410717447638913, + -2.2222458688947877, + -2.095547496531511, + -1.9631636589902297, + -1.8273255724432607, + -1.6902574303537867, + -1.5541261137465017, + -1.420993018806994, + -1.2927691412509696, + -1.1711744691832449, + -1.057702623029397, + -0.9535915454471118, + -0.859800889337765, + -0.7769965820752422, + -0.7055428631102293, + -0.64550190471806, + -0.596640936509024, + -0.5584466081185223, + -0.5301461458616976, + -0.5107346924971136, + -0.4990080687109577, + -0.493600064212085, + -0.49302325862119706, + -0.4957122902664766, + -0.5000684365390108, + -0.5045043438967332, + -0.5074877494926231, + -0.5075830695609836, + -0.5034897912118399, + -0.49407669253555764, + -0.4784110286187131, + -0.4557819553186172, + -0.4257176150024399, + -0.3879954750417655, + -0.34264568642679993, + -0.2899474119420879, + -0.23041825630952212, + -0.1647971099192479, + -0.09402088869685128, + -0.019195810970475836, + 0.058436006101306164, + 0.13753372648628684, + 0.21669774934996963, + 0.29451136252183363, + 0.36958297579190785, + 0.4405877983750689, + 0.5063078379482686, + 0.5656691405827825, + 0.6177752606164418, + 0.6619360452947048, + 0.6976909384521648, + 0.7248261476077069, + 0.7433851760837425, + 0.753672392175086, + 0.7562494866918905, + 0.751924853861013, + 0.7417361139526557, + 0.726926174465935, + 0.7089133957369268, + 0.6892565821331211, + 0.669615657615207, + 0.6517090008620858, + 0.637268507375598, + 0.6279935116149404, + 0.6255047395258198, + 0.6312994698002662, + 0.6467090605347958, + 0.6728599470933878, + 0.7106391381031738, + 0.7606651314925101, + 0.8232650438569394, + 0.8984585973363722, + 0.9859494422513404, + 1.085124115049564, + 1.1950587440551357, + 1.314533424707881, + 1.4420539961499748, + 1.5758807668672505, + 1.714063563200771, + 1.8544823152414849, + 1.9948922538890128, + 2.132972674224212, + 2.266378126805351, + 2.392790832427056, + 2.5099730789839683, + 2.6158183523453364, + 2.7083999768189035, + 2.7860160943601433, + 2.847229893927362, + 2.890904111347377, + 2.916228953134166, + 2.9227427516910343, + 2.910344830504528, + 2.8793002421578247, + 2.8302362347800987, + 2.76413049921908, + 2.682291444989027, + 2.5863309431372867, + 2.4781301539554055, + 2.359799222551845 + ], + [ + 2.2725472520933128, + 2.1433479418922903, + 2.0103622858551367, + 1.8761229864447275, + 1.743155555803385, + 1.6139236675854893, + 1.4907760340288072, + 1.3758960391879855, + 1.271255292142807, + 1.1785721689442483, + 1.099276291407377, + 1.0344797475620406, + 0.9849556961424643, + 0.9511248199133456, + 0.9330499042383573, + 0.9304386227029284, + 0.9426544155592063, + 0.9687351540493755, + 1.0074190989777771, + 1.0571774897326924, + 1.1162529444811393, + 1.1827027172337086, + 1.254445746151502, + 1.329312342505207, + 1.4050953131053014, + 1.4796012821082754, + 1.550700981438584, + 1.6163773124756295, + 1.6747700442233062, + 1.7242161032731287, + 1.7632845261808685, + 1.7908052824730571, + 1.8058913329112012, + 1.8079534589375745, + 1.7967075811171531, + 1.7721744723324129, + 1.7346719607989902, + 1.6847999039446264, + 1.6234183922191017, + 1.5516198075750303, + 1.4706955105914346, + 1.3820980593356558, + 1.2873999689150895, + 1.1882501006861832, + 1.08632882234237, + 0.9833031033702498, + 0.8807827041470031, + 0.7802785814921019, + 0.6831645697552612, + 0.5906433061985065, + 0.5037172548552619, + 0.4231655471699598, + 0.34952720401383625, + 0.2830911360557445, + 0.2238931422035845, + 0.17171994342303074, + 0.126120106309991, + 0.08642153197492489, + 0.05175501561625452, + 0.021083224921286236, + -0.006765694887628211, + -0.03306080139872095, + -0.05912832914314141, + -0.08631003633184296, + -0.11592104571863349, + -0.1492083150098866, + -0.18731085697555944, + -0.23122278536053195, + -0.2817601909505353, + -0.3395327545118488, + -0.40492088225078515, + -0.47805900797205275, + -0.5588255478149468, + -0.6468398223007009, + -0.7414660807485323, + -0.8418245794469899, + -0.9468094819423736, + -1.055113172058878, + -1.1652564023009897, + -1.275623546375044, + -1.3845020886242374, + -1.4901253686775802, + -1.5907175095130852, + -1.6845393937688165, + -1.7699345181764887, + -1.8453735504078284, + -1.909496436647525, + -1.9611509613321845, + -1.999426741488274, + -2.023683745030586, + -2.033574552662395, + -2.029059733477229, + -2.0104158713178495, + -1.978235958299816, + -1.9334220592361502, + -1.8771703413786296, + -1.8109487531994803, + -1.7364678191768554, + -1.6556451901606792, + -1.570564746577546, + -1.4834311905399191, + -1.3965211793703505, + -1.3121321441945426, + -1.2325300007776339, + -1.159896994030705, + -1.0962809216753122, + -1.0435469562392239, + -1.0033332284328347, + -0.9770112503234502, + -0.9656521455878321, + -0.969999519142255, + -0.9904496428727884, + -1.0270394617774117, + -1.0794427397640909, + -1.146974471119549, + -1.2286034869718618, + -1.3229729907050718, + -1.4284285670071435, + -1.543053030659175, + -1.6647073176599962, + -1.791076476816974, + -1.919719698045094, + -2.0481232172773804, + -2.1737548694478623, + -2.29411902213115, + -2.406810614051979, + -2.5095670450097707, + -2.600316716241638, + -2.677223101578721, + -2.7387233379359315, + -2.783560456058361, + -2.8108085257829933, + -2.819890160604493, + -2.810586009884349, + -2.7830360591240675, + -2.7377327546416255, + -2.675506163964098, + -2.5975015725256427, + -2.5051500962326356, + -2.400133053780378, + -2.2843409882986525, + -2.159828351451069, + -2.028764961550624, + -1.893385418239234, + -1.7559376981503307, + -1.6186321677890672, + -1.4835922314244274, + -1.3528077836396126, + -1.228092559609139, + -1.111046373141716, + -1.0030231056740793, + -0.9051051619328703, + -0.8180849436123374, + -0.7424537152682744, + -0.6783980511334818, + -0.6258038623445273, + -0.5842678158420497, + -0.5531157736415991, + -0.5314277087905386, + -0.5180683963881054, + -0.5117230384396187, + -0.5109368634667337, + -0.5141576485779319, + -0.5197800453713092, + -0.5261905531730535, + -0.5318119745736948, + -0.5351462091388868, + -0.5348142909338004, + -0.5295926527807717, + -0.5184447029516126, + -0.5005469256269544, + -0.4753088617132247, + -0.4423864877843063, + -0.4016886839054541, + -0.35337666150636227, + -0.2978564057214448, + -0.23576436806484985, + -0.1679468203620889, + -0.0954334450900521, + -0.019405886529490365, + 0.0588378823649738, + 0.1379224140225092, + 0.21643581423103717, + 0.29297184027547324, + 0.36617193709323653, + 0.4347660799854168, + 0.49761132217552007, + 0.5537270035899681, + 0.6023256621915917, + 0.6428387988967276, + 0.6749367787914511, + 0.6985423017202576, + 0.7138370405649143, + 0.7212612214979367, + 0.7215061027449444, + 0.7154994923206187, + 0.7043846261630722, + 0.6894929014981063, + 0.6723111217184413, + 0.654444054455886, + 0.637573230146447, + 0.6234130110175871, + 0.6136650374128336, + 0.6099722076980573, + 0.6138733683412119, + 0.6267598815213417, + 0.6498351989391908, + 0.6840785032439018, + 0.7302133842462216, + 0.7886823981236374, + 0.8596282170239028, + 0.9428819172781717, + 1.0379587807468125, + 1.1440617999131615, + 1.2600928877501072, + 1.3846716027999997, + 1.5161610130539842, + 1.6527001437345241, + 1.7922422884202955, + 1.9325983142420815, + 2.071483963849698, + 2.2065700527260304, + 2.3355343828441653, + 2.45611414461645, + 2.566157559858792, + 2.6636735296453677, + 2.7468780922659994, + 2.814236567084739, + 2.8645003582765556, + 2.8967375158497477, + 2.9103562970815986, + 2.905121135987933, + 2.881160607731991, + 2.8389671646046084, + 2.7793886157648644, + 2.7036115195592982, + 2.6131368501481176, + 2.509748484656459, + 2.395475228637215, + 2.2725472520933105 + ], + [ + 2.1829894085530306, + 2.051845476661965, + 1.9185582728835893, + 1.7856631747916114, + 1.6556545076953055, + 1.5309316466393175, + 1.4137473887072818, + 1.306159790545746, + 1.2099885821478147, + 1.126777157408788, + 1.0577610074984851, + 1.0038433079814912, + 0.9655781986547373, + 0.9431621104686055, + 0.9364333011658389, + 0.9448795651190731, + 0.9676538880582785, + 1.0035976286999635, + 1.0512706313103226, + 1.1089875102752236, + 1.1748592037561354, + 1.2468387719556957, + 1.322770319315154, + 1.4004398514053857, + 1.4776268379561284, + 1.5521552442745175, + 1.6219428143695427, + 1.685047439813968, + 1.7397095273992627, + 1.78438938393637, + 1.8177987654453953, + 1.8389258872029444, + 1.8470533569238434, + 1.8417686715890627, + 1.8229671046406728, + 1.790846999806346, + 1.7458976759776406, + 1.6888803296800337, + 1.6208024932314202, + 1.5428867634553665, + 1.4565346539388448, + 1.3632865399176677, + 1.2647787561088064, + 1.1626989719855896, + 1.0587410045880745, + 0.954560235171666, + 0.8517307727540584, + 0.7517054555917161, + 0.6557797021899261, + 0.5650601186959994, + 0.48043864214562787, + 0.40257285229325196, + 0.33187292240409305, + 0.2684955055514257, + 0.21234467206267138, + 0.16307983038008228, + 0.12013038239070563, + 0.08271668982182084, + 0.04987676500377089, + 0.02049795129941231, + -0.006647270472054136, + -0.03286231997096453, + -0.05948545168347183, + -0.08784769237483787, + -0.11923091455811609, + -0.15482717599723772, + -0.19570042333939655, + -0.24275159781076935, + -0.2966880940219423, + -0.35799841149892314, + -0.4269327053860638, + -0.5034897912118396, + -0.5874109924864109, + -0.678181043400777, + -0.7750360764762684, + -0.8769785412796223, + -0.9827987199211285, + -1.0911023325624138, + -1.2003435659548058, + -1.308862714186604, + -1.4149274970102672, + -1.516777020525847, + -1.6126672702145632, + -1.7009169793046583, + -1.779952697476656, + -1.848351896518823, + -1.904882990528912, + -1.9485412176930426, + -1.978579426912214, + -1.9945329332734698, + -1.9962377486425926, + -1.983841654010606, + -1.9578077547213044, + -1.918910344044586, + -1.868223090189231, + -1.807099752074795, + -1.7371478152869293, + -1.6601956169957508, + -1.5782536928019306, + -1.493471225385287, + -1.4080886007799622, + -1.3243871799139069, + -1.2446374681422891, + -1.1710469119455025, + -1.1057085685244183, + -1.0505518802176639, + -1.007296741742688, + -0.9774119752232353, + -0.962079227527435, + -0.9621631789969061, + -0.9781888052116768, + -1.0103262675658757, + -1.058383828141573, + -1.1218089940379918, + -1.1996979005677757, + -1.2908127463365473, + -1.3936069009621224, + -1.506257122754814, + -1.6267021535462998, + -1.7526868051746982, + -1.8818105206369113, + -2.0115792858157495, + -2.1394596875954233, + -2.2629338630472757, + -2.379554063445154, + -2.486995566661616, + -2.5831067117568094, + -2.6659548993097912, + -2.7338674985445475, + -2.785466725178291, + -2.819697699156185, + -2.835849055477929, + -2.833565660152548, + -2.8128531725650094, + -2.774074390577994, + -2.7179375107629613, + -2.645476628476192, + -2.558024986385401, + -2.457181651041812, + -2.3447724510357237, + -2.2228061434501787, + -2.0934268845332173, + -1.958864163135272, + -1.8213814095535816, + -1.6832245167454438, + -1.5465715049072415, + -1.4134845244038505, + -1.2858653269527187, + -1.1654152425106208, + -1.0536005818452083, + -0.951624245275981, + -0.8604041600566168, + -0.7805589963091465, + -0.7124014286279768, + -0.6559390220096878, + -0.6108826313244956, + -0.5766620178318792, + -0.552448208858486, + -0.5371819620846588, + -0.5296075479853863, + -0.5283109364734652, + -0.5317613698127226, + -0.5383552259294027, + -0.5464610262177482, + -0.5544644209778423, + -0.560811994178025, + -0.564052766999595, + -0.5628763455670639, + -0.5561467506582959, + -0.5429310836307726, + -0.5225223203003129, + -0.4944556795497202, + -0.45851818207556, + -0.41475119261386073, + -0.36344592170443085, + -0.3051320459278032, + -0.24055978394866495, + -0.1706759351124881, + -0.09659454348462161, + -0.01956298914771742, + 0.05907557322594735, + 0.1379224140225092, + 0.2155649836623126, + 0.2906190994531718, + 0.36177042917200436, + 0.4278141536867301, + 0.4876917371178785, + 0.5405238067955587, + 0.5856382447399429, + 0.6225927150801394, + 0.6511909946393345, + 0.6714926332559292, + 0.6838156422639567, + 0.6887320895856349, + 0.6870566635477501, + 0.679828450178413, + 0.6682863457474196, + 0.653838693192882, + 0.6380278835881517, + 0.6224907980583371, + 0.6089160781199914, + 0.5989993003926877, + 0.5943971927312727, + 0.596682061434979, + 0.607297602397318, + 0.62751724269595, + 0.6584061037503196, + 0.700787594089403, + 0.7552155309596817, + 0.8219525580982124, + 0.900955475213108, + 0.9918679267723186, + 1.094020717730263, + 1.2064398362587923, + 1.3278620730311905, + 1.4567579378563142, + 1.5913613921625145, + 1.7297057445260253, + 1.869664900402796, + 2.008999020362537, + 2.145403526881539, + 2.2765603110152184, + 2.400189929307394, + 2.5141035496845516, + 2.6162534036922804, + 2.704780531376072, + 2.778058663761038, + 2.834733174882782, + 2.873754148603222, + 2.8944027422982317, + 2.896310186633156, + 2.879468934248715, + 2.8442356560548507, + 2.7913259774585075, + 2.7218010435224285, + 2.6370461969756547, + 2.5387422414199317, + 2.4288299394037134, + 2.309468556937986, + 2.1829894085530284 + ], + [ + 2.0918833918127415, + 1.9598985282465522, + 1.827419909848348, + 1.696964150980848, + 1.570973307189693, + 1.451762183357971, + 1.34146863801627, + 1.2420080326083, + 1.1550328745784242, + 1.0818985780778518, + 1.023636118942721, + 0.9809321949808291, + 0.9541173225648282, + 0.9431621104686052, + 0.947681756442047, + 0.9669486159660403, + 0.9999125007424877, + 1.0452281814232791, + 1.1012893993143633, + 1.1662685394207604, + 1.238160985906558, + 1.3148330739878524, + 1.3940724720125701, + 1.4736397759020528, + 1.551320076419004, + 1.6249732683309492, + 1.692581909156606, + 1.752295502773617, + 1.802470177977334, + 1.8417028516905707, + 1.8688591079053567, + 1.883094183030101, + 1.883866622117216, + 1.870944354112618, + 1.844403123220193, + 1.8046174030121553, + 1.7522441053363138, + 1.688199572783595, + 1.6136305071199215, + 1.529879632627169, + 1.4384470191441803, + 1.340948091679969, + 1.2390694293153046, + 1.134523503903663, + 1.0290035277196308, + 0.9241395683043072, + 0.8214570486841906, + 0.7223386829824211, + 0.627990802990038, + 0.5394149129662537, + 0.4573851708304081, + 0.38243233755066386, + 0.3148345669097049, + 0.2546152292469437, + 0.20154777977058558, + 0.155167499237593, + 0.11478975684083623, + 0.07953427652002075, + 0.048354732886874, + 0.020072865440675644, + -0.0065838167808781, + -0.032941760576841325, + -0.0603396107897106, + -0.09008609455571673, + -0.12341868230879832, + -0.16146414059516906, + -0.20520204344309084, + -0.2554322332753883, + -0.31274712105672425, + -0.37750959108457527, + -0.4498371316935024, + -0.5295926527807705, + -0.6163822785229067, + -0.7095602232934389, + -0.8082406751691158, + -0.9113164291702415, + -1.0174838361364587, + -1.1252734673637275, + -1.23308574403682, + -1.3392306479367126, + -1.4419705192779488, + -1.539564861686462, + -1.6303160154963225, + -1.7126145302849007, + -1.7849830667268016, + -1.846117686540658, + -1.8949254469030177, + -1.9305573008601165, + -1.9524354159397732, + -1.9602741566687707, + -1.9540941297774077, + -1.9342288597682973, + -1.9013238430842863, + -1.856327916874395, + -1.8004770686805198, + -1.7352710015317145, + -1.6624429502590259, + -1.5839234148146462, + -1.5017986307467606, + -1.4182647318766892, + -1.3355786722516554, + -1.2560070607663671, + -1.1817741202526992, + -1.115010011804658, + -1.0577007638377327, + -1.0116410138213927, + -0.9783907094641857, + -0.9592368267939524, + -0.9551610471810107, + -0.9668141966626693, + -0.9944980922846791, + -1.0381552654154824, + -1.0973668453503846, + -1.1713586925401251, + -1.2590156741729521, + -1.3589037804013278, + -1.4692995919764478, + -1.5882264340126138, + -1.7134963903483105, + -1.8427572124169298, + -1.9735430391224125, + -2.1033277528034096, + -2.229579733197615, + -2.349816737929787, + -2.461659635255443, + -2.5628837426642104, + -2.651466582795425, + -2.7256309545263013, + -2.78388232994151, + -2.8250397244187284, + -2.8482593439261943, + -2.8530504869874753, + -2.8392833643872937, + -2.8071886930353434, + -2.7573491167528186, + -2.690682701310646, + -2.6084189390906674, + -2.5120678756888513, + -2.40338313233881, + -2.2843197402952797, + -2.156987822850723, + -2.0236032545983633, + -1.886436493670527, + -1.7477608194289387, + -1.609801214646376, + -1.474685107524117, + -1.3443961356102694, + -1.2207320122216903, + -1.1052674684198776, + -0.999323112682612, + -0.9039408994523226, + -0.8198667305216583, + -0.7475405339230621, + -0.6870939780981428, + -0.6383557892880625, + -0.6008644520243281, + -0.5738878909713414, + -0.5564495616693247, + -0.5473602221573609, + -0.5452545208449178, + -0.5486314216890196, + -0.5558973985031659, + -0.5654112682216873, + -0.5755294996345488, + -0.5846508302376754, + -0.5912590494212124, + -0.5939628605148793, + -0.5915318157803497, + -0.5829274251605001, + -0.567328668712278, + -0.5441512908558707, + -0.5130604180851717, + -0.47397621644282223, + -0.42707248643245976, + -0.37276827652333694, + -0.31171277735275216, + -0.24476393257263995, + -0.17296136462471862, + -0.09749436046273867, + -0.01966578966591706, + 0.05914706771198664, + 0.13753372648628687, + 0.21409262526446268, + 0.2874730453069136, + 0.3564156907769301, + 0.419790835921279, + 0.47663300695359484, + 0.52617125521895, + 0.5678541913642806, + 0.6013690848754877, + 0.6266544860748334, + 0.6439059946500449, + 0.6535749757953362, + 0.6563602076137612, + 0.6531926269444646, + 0.6452135205922525, + 0.6337466804926754, + 0.62026520028624, + 0.6063537330539823, + 0.5936671519486134, + 0.583886654009495, + 0.5786744200266045, + 0.5796279880157208, + 0.5882355134769515, + 0.6058330756495919, + 0.6335651457058442, + 0.6723492612351012, + 0.7228458531603869, + 0.7854340487687583, + 0.8601941308079285, + 0.9468971711194728, + 1.0450021820120663, + 1.1536609438464966, + 1.271730477672589, + 1.3977929419249968, + 1.5301825468628103, + 1.6670189042397479, + 1.806246067013621, + 1.9456763688167635, + 2.0830380490573606, + 2.2160255500323016, + 2.3423512998356917, + 2.4597977510149844, + 2.5662684310239805, + 2.659836776976973, + 2.7387915737016737, + 2.801677889559802, + 2.8473325071774798, + 2.874912973653809, + 2.883919543933574, + 2.8742094582391706, + 2.846003175707851, + 2.799882377273031, + 2.7367797467206625, + 2.6579607349726366, + 2.5649977042183587, + 2.459737030858262, + 2.344259914887948, + 2.220837794218764, + 2.091883391812743 + ], + [ + 2.000000000000001, + 1.8682850094361036, + 1.7377182685412609, + 1.610776348890632, + 1.4898283955614957, + 1.3770850872253926, + 1.274551292893118, + 1.1839835182767928, + 1.1068531195884082, + 1.044316124040364, + 0.9971903377389509, + 0.9659402469434345, + 0.950670032070562, + 0.9511248199133449, + 0.9667001030453626, + 0.9964590610873088, + 1.039157331151341, + 1.0932745989052486, + 1.1570522215788401, + 1.2285359537427774, + 1.3056227292110387, + 1.3861103607672227, + 1.467748955767338, + 1.548292811510631, + 1.625551550349971, + 1.6974392808435292, + 1.7620206270933279, + 1.8175525523118492, + 1.862521012454118, + 1.895671608663897, + 1.9160335599584843, + 1.9229364861854468, + 1.916019671609594, + 1.895233667031947, + 1.860834278438624, + 1.8133691781075427, + 1.7536575552108433, + 1.6827633927666994, + 1.6019631121324684, + 1.5127084613030346, + 1.41658563578255, + 1.3152717080029082, + 1.2104895010728565, + 1.1039620736499174, + 0.9973679842477039, + 0.8922984753753767, + 0.7902176613420431, + 0.6924267198491076, + 0.6000329788174413, + 0.5139246590543276, + 0.4347518837087387, + 0.3629144008106023, + 0.29855628972809617, + 0.24156774056072952, + 0.19159381192176647, + 0.14804989189739814, + 0.11014341376919522, + 0.0769012167261156, + 0.047201796346000184, + 0.019811563763794653, + -0.006575870661040576, + -0.033298451112878345, + -0.06168357988930768, + -0.09300630497914109, + -0.12844891856052393, + -0.16906305707992145, + -0.21573532928103517, + -0.2691574078403051, + -0.32980140541937614, + -0.3979012198606036, + -0.4734403793621714, + -0.5561467506582957, + -0.6454942957349123, + -0.7407118799175612, + -0.8407989508968808, + -0.9445477290492291, + -1.0505713788099877, + -1.157337473199792, + -1.2632059229044605, + -1.3664704211641971, + -1.4654023592217962, + -1.5582960967115953, + -1.6435144289871344, + -1.719533080135049, + -1.7849830667268016, + -1.8386898229007396, + -1.8797080510947568, + -1.9073513629076275, + -1.921215898734072, + -1.9211972599688287, + -1.9075002501526457, + -1.8806410974396262, + -1.8414420158585059, + -1.7910181524419728, + -1.7307571567074045, + -1.6622917934818466, + -1.5874661950782254, + -1.508296509977559, + -1.426926848416448, + -1.3455815470181622, + -1.2665148717614485, + -1.1919593486780764, + -1.1240739528948942, + -1.0648933978872779, + -1.0162797477220762, + -0.9798775260235788, + -0.9570734175169224, + -0.9489615531250433, + -0.9563152402204204, + -0.9795658488710619, + -1.0187893964125874, + -1.0737011905070435, + -1.1436586994382436, + -1.2276726223996812, + -1.324425936728794, + -1.432300508206471, + -1.5494106693307343, + -1.6736430033157654, + -1.8027014225470426, + -1.934156502984097, + -2.0654979336576735, + -2.194188865460704, + -2.3177208977183756, + -2.4336684256589414, + -2.539741087271326, + -2.6338330937510053, + -2.7140683026834354, + -2.7788399954603262, + -2.8268444476640324, + -2.857107530176681, + -2.869003745929343, + -2.8622672884173284, + -2.8369948989436153, + -2.7936404953553784, + -2.733001741033374, + -2.656198914305579, + -2.5646466206285203, + -2.460019058388316, + -2.3442096999359507, + -2.219286378847058, + -2.0874428792756863, + -1.9509482011513084, + -1.8120947240139378, + -1.6731465113714574, + -1.5362889862133073, + -1.4035811670905047, + -1.2769115840757146, + -1.1579588967623133, + -1.0481581147228956, + -0.9486731776038649, + -0.8603764908857222, + -0.7838358383252563, + -0.7193089075868953, + -0.6667454761620017, + -0.6257971150739307, + -0.5958340827741821, + -0.5759689056289834, + -0.5650859788187027, + -0.5618763763227146, + -0.5648769344959718, + -0.5725125735862389, + -0.5831407478136712, + -0.5950968690939944, + -0.6067395331829778, + -0.6164943902707154, + -0.6228955444384502, + -0.6246234367591292, + -0.6205382633289123, + -0.6097080996627084, + -0.5914310435863066, + -0.5652508464155122, + -0.5309656728128332, + -0.4886298089205055, + -0.43854832164009677, + -0.38126485462290116, + -0.31754292403062323, + -0.24834124493701706, + -0.17478377313093835, + -0.09812528316559678, + -0.01971341834518755, + 0.05905176094738815, + 0.13675963988628162, + 0.21203119585578264, + 0.2835602948783814, + 0.3501530254178828, + 0.41076400758794995, + 0.46452869354399146, + 0.5107907779410836, + 0.5491239632035346, + 0.5793474697981009, + 0.6015348430632946, + 0.6160157813483064, + 0.6233708908814278, + 0.6244194563522338, + 0.6202004980084033, + 0.6119475615298624, + 0.6010578515962632, + 0.5890564697203421, + 0.5775566477621689, + 0.5682169772156453, + 0.5626967180688711, + 0.5626103276043478, + 0.5694823774212103, + 0.5847040254418048, + 0.6094921786570251, + 0.644852422554853, + 0.691546705971864, + 0.7500666576036421, + 0.8206132753387513, + 0.9030835752431616, + 0.9970646172067864, + 1.101835143154574, + 1.2163748757950597, + 1.3393813357838389, + 1.4692938476366213, + 1.6043242244022777, + 1.7424934524980966, + 1.881673545434192, + 2.019633602243851, + 2.1540889966407493, + 2.282752539029301, + 2.4033863976512815, + 2.5138535388224574, + 2.6121674501337266, + 2.6965389446531876, + 2.7654189078139333, + 2.8175359403242126, + 2.8519279679163563, + 2.867967029244014, + 2.865376613357637, + 2.844241094062548, + 2.8050069958260155, + 2.748476020195102, + 2.6757899581855646, + 2.588407808013888, + 2.488075604138452, + 2.376789638294705, + 2.2567539117849393, + 2.130332796838011, + 1.9999999999999984 + ] + ] + } + ], + "layout": { + "scene": { + "xaxis": { + "backgroundcolor": "rgb(230, 230,230)", + "gridcolor": "rgb(255, 255, 255)", + "showbackground": true, + "zerolinecolor": "rgb(255, 255, 255)" + }, + "yaxis": { + "backgroundcolor": "rgb(230, 230,230)", + "gridcolor": "rgb(255, 255, 255)", + "showbackground": true, + "zerolinecolor": "rgb(255, 255, 255)" + }, + "zaxis": { + "backgroundcolor": "rgb(230, 230,230)", + "gridcolor": "rgb(255, 255, 255)", + "showbackground": true, + "zerolinecolor": "rgb(255, 255, 255)" + } + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Parametric Plot" + } + } + }, + "text/html": [ + "
    \n", + " \n", + " \n", + "
    \n", + " \n", + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import chart_studio.plotly as py\n", + "import plotly.graph_objects as go\n", + "\n", + "import numpy as np\n", + "\n", + "s = np.linspace(0, 2 * np.pi, 240)\n", + "t = np.linspace(0, np.pi, 240)\n", + "tGrid, sGrid = np.meshgrid(s, t)\n", + "\n", + "r = 2 + np.sin(7 * sGrid + 5 * tGrid) # r = 2 + sin(7s+5t)\n", + "x = r * np.cos(sGrid) * np.sin(tGrid) # x = r*cos(s)*sin(t)\n", + "y = r * np.sin(sGrid) * np.sin(tGrid) # y = r*sin(s)*sin(t)\n", + "z = r * np.cos(tGrid) # z = r*cos(t)\n", + "\n", + "surface = go.Surface(x=x, y=y, z=z)\n", + "data = [surface]\n", + "\n", + "layout = go.Layout(\n", + " title='Parametric Plot',\n", + " scene=dict(\n", + " xaxis=dict(\n", + " gridcolor='rgb(255, 255, 255)',\n", + " zerolinecolor='rgb(255, 255, 255)',\n", + " showbackground=True,\n", + " backgroundcolor='rgb(230, 230,230)'\n", + " ),\n", + " yaxis=dict(\n", + " gridcolor='rgb(255, 255, 255)',\n", + " zerolinecolor='rgb(255, 255, 255)',\n", + " showbackground=True,\n", + " backgroundcolor='rgb(230, 230,230)'\n", + " ),\n", + " zaxis=dict(\n", + " gridcolor='rgb(255, 255, 255)',\n", + " zerolinecolor='rgb(255, 255, 255)',\n", + " showbackground=True,\n", + " backgroundcolor='rgb(230, 230,230)'\n", + " )\n", + " )\n", + ")\n", + "\n", + "fig = go.Figure(data=data, layout=layout)\n", + "iplot(fig, filename='jupyter-parametric_plot')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}
    pd^_$RP+=J)xx z7(vTIxw>A`($Yd(SkNe461XSHzWyk!!K_qWMTO+=&owL)xzcyC!T$dK#+YeXeXim; zl2UF?2uG=v>ZDJCp!R<#DD9wcV`{!VPqlK;l>XRd``2apA5)QPG zz^%m<<{>%Dx*6ZJGDiJ1t4WU)(+aZw!yTBiW`gIw8(_B70~$^B@h-let(2JTtz==_ z1U}?vE_q-2+qZ8+O1W;?2f!#msagEn0ABN-p&uGN5`2p)_V25nUawgh!3vqzNKf!z zdFNn~Ss(R`nT7rOUb<<$=T~;j>EUROncj@l2HaRX6qj*vaZ`Ow5Nz3peV`?0e3j|N z>4zOL#5+6tlLN)l{+l^>-3qjcIsb&*r?z}YcXI3@zWYgK^Ijs0Xym=@xea?qr0Brl zAbEza!@J8oJVe)ze=|X3!nNk;;2^uSboEJ?&!l*ex0Cx>flJbNS4?>n#-%oEwT4z& zrd!$^9tIP+jtNdEf3TJzWjM_Z>4?;?_GxZf`HY|y;9Vx?=j|61{K>GYxWN6&HZHmJ zVhk%MO?R4ud84K72YX?l=IHiGdxiPjLAe8FkQP8Zo{p2G6tp}&Ehjo%zej!O5y7Sb z$6NP0Mrkk_$ulZH1Br&(P$)Z%Cr=b%V22Z`8u-9E4$5pvPozQ9Bp~Y`&3hIoU#1@( z6rtiL&P^QCtaP(sg37K)NX%WCjl;=*0n7#3*cb~up4_}VGLNPMeh2~pBPSdx<{8-P z(vyKxs9*Tz%_n-9SVo!V$Lr0P&Q^R6yOPf{JJYI$N1+(~7P7BVF! z`*&<`hTL7tYab)PHkV^?j_9lamWeO2~++s;YiB-5v50jcVHr2@l0BH;(0h zkZ16_Txt?^M%cs}>OzBXq)_Y!Qei>Cz|VHUpY2r8X!N?=lf8`E`Oo@hrKWOyJxe}F zWI~w61+nlyyJ`C`=^gAGNXbK7W_Xb~k7q0qDPV$OMi@@Dr%nYEgze?KE zuyeck)O_zRFHt0tZDY*CS(*N(n)gFl7za!ndp?%hD3qk5{I#I!8j^tI#1Dr4^145Y zs%$Du4@GXOp->4MV`TH%8LExkCv{J_;Q8x-g2qEG^pu|B!FkZ(7K4c*aE?6kPZ>3y zGE?!$alF%b)?7uW*bLjoO&H{)ME2dOL1AI!{+n$qj1-zEl+V_foS25r3zE=q)#3qL z@H=nl>b65Hn&_3BpTbVR;eUQ=jqEHViFVe+v3~JD&YL$>;DYx#N@~N0;NJZ>oZk3i zg;CN-4Rw{-WdeTe&+*=506qbW!=3-x=wtoQ>nI=VhmMl${BYUVeq|tB=WcBNU}0eR z{Cw|%STdFGp_9od4>Cb!{phToE_rZBeoQb9N8VY_IE-U}pme`JJ;OJijZCrvqe#{8 zi^=`*|9Sm9>HI_x14F#VMhw|m&P$3%Fsx&z4-nefMDsn3E*~Y}U!?sKC@(S$>O&Xh z@*s1R=j#yNLoAe3BnF20F`+n|MY9)EsudkGv*$t_u2a>|orIJqT78KUhwD_6mm~b~ z4qFmFB=YwE|GZV`6K!N-l2cj9NYn>-O$bwIa>hS)baGNgqvQH*YESK|(f#{~1-#%5 zuHY8tU>-^XifJm?WyABHAWQSUxoP3!e;vH9o2KZIaEXjetZ+_nhH&U|9_=S%e%*9I zZ%X%&fN%eOsEPzkSM)Z+RlUPd#^Z2y5r}91o3q^oQBgv(HO7ylZmYoM!ic&oJ{1ao1i;oW~DBw?<9als>2gd`HIc}H15@qOq2@VOdkz}{2Hlye-C@no5#UdJ} z`&t#qYFAx{1A(%{BP#lK$fdNjR1F%cAINh3ex$(tctu?D>QxdVGG!$vCm|#spE%^m zL1VE2IrMlp@!hYwW3%Go;`&(cBRywl=e>%@4E!yBYR8w19`()JY(plvqBPwri zZ+H?_+}+E>z`{wJ1xs$EN>fjd1>)27*X2eFs;iA*I`{;4#GNS|kH^QQrMX<|ffz1= zC={-{e(2SJGj?ReENvCuFf-&k?lBEz9M5(8tysFG?Cw6anQ4tsdHAr#y4oxwvg-_V z)m{h<3!?(M+@`P?o8I#+_SewN=h=HIdcXWesG`FwY9agRB`Ol?ep(cvdjH4 zf4Xu^XW5jF;`_NOyq8VjCvD(qhgF`=DqzQWWu&_JvHH}lI{{b_jrQ0&lzM>OYvXeQ zs(5Zq%~=TXRxECpEjOmrf)?nOsUy1#{8!U*Yhoa&%B*Isu`#jMrN_q7$;!zcjjw~p z>*(yP;^!wr=!YVbe)L;VR#w)6D<@j~Zo5+Mw^vO~++fKN1;V|6L4lNzsO+tQ@(o;1 z4GcycZWuOJ@sJX(hE>9jvM1|$tU#u3&QMLvuA#@Tij?MuYhw}LzZ($Z?Letb`nnE~ zMb5}BZdkm5u>5-D!Q#S#5)3^8<`pQZU|jvqj8SbRQx{?3=8ic$d;};jTGvNCL z)vTs=si!2b2?SE5#wlNc*!j7xdZfOCoYdqVU}+e(s0+j{OkOj31q zb%b1Awabtvv|`pD2_c&hKQq^TN^lu(Sw5~mn>@0OMSS7 zbK2IZ#^G8FA2f;}s?DN9L&^FF2PdQ$f^m5*yeKHNE<8_w1^553G9F$>9ab%-=($J$ P>YPYZO&3+BVjcW14dGp~ literal 30231 zcmd43WmJ`2)HX_rAP9nV2vX7=(j|hh>F$>9ZlzROy1Tm@1O!A{*mQSy=ePFro%hcf z;~nSkdB#S0aC6`5UTelR=e(}{T|w?61{x6>92^{mw3LJr92|lO92|Vu^Jm~E>>8vd z;4dU6F=>_O;6Lx@Cf~sSquNVpI>Eucz=nOn|6B0Ahl3-Bla>%waZlY}aC28NU3@yZ zdapb#^(88hD)24j6B5!_@^^20>g($S|EXY=zKFc_nus%1uliE`7NNun(b_>(Vd@9+ zhgUCDcgU$JzMSisZKf{0;o*>$dM8E`bLyizrNiO0Ir#o6HEgi2#WLR_`8h=(mRK#h zXXXoX@XhnFQ7Sl8@T2UWXgDhHgKu~r5u(7)DYQsXMZjNy<_`Zqd&6&O0yZP0NP$zS z%uol}ot+)$qs6olp}SJi;Vst|&1w@=b$uVMhr6rK$IG3viL75#OVqgj+{pJOb6GXs zY^D(M+LQa-o*V8@R}H4{ME?BwGe)Sl<)~fe>TscdWaP?NT3*-Gl)C2g$Yv-@`>~DH z{*oaDQ8L#kGL~3s`}VfElCtv7XjZ_|h^mgx;1JK!V7j1JBC8?7c!7N1f$Q1Q(_@0R zU0dAUQAY+U4$XBNNr4fxSXDNKJG`W#J^5sPbPuc^p`(;yUh!H=3KCRc*Z!a@K7Xjie&hf1-T3%AEI>~us*ZC2+~&Y zM9zDYLk&LH$16xEC>)=MNhBjkq`kep17f!#-A{V(3HhAgJze(+d(Ssj zzvO$z)E$iR!T@zI#3H$_-sNaf5RUp)_Q_8gR*GF|O-({f;d@r`V04Q2?~@$XdaGRa zCW-E>XKTOHDd)2q{DSkm*zHMVGj`uAYw)h`BeD6q=obNED>&E7L@1E(3Gu`hkM3Kw^JaZzZNV(wjr0)%f&#m+3NJeD$iotxN z0|~D^oPSstI*n|ih`IT@v#pWOW7!{^_ot&ZYs{*gw&a!^e*E}xecX-dal2E{1U3>C z4Gm$rs*jA4p8iMB3w+15aGq+Der#amk(%k?u`0ptKi*Dtu)7`VTprBzAz}(Fdp(pj zEUrd>Br^o3#HiC4_4~Jk*>I}Ie101E4FiH+HY@4bdYb|8UXiWgH24UQ(wv5lyTcae z!}+8Sp?D4lbyMs{zn=@;tj7@Dd7qDcthJeokBxmzPft(4V@t9(Rq=UqFljJ}BV>Qy z+P3vX5-d7G^U-NUFacVk&f&7FB6Pb=SzS{DU#V3lo5UVeuG@l8oOE=%SMeF#a4?xG zls4V{tDx5o&HM3YOW^bm<-FUH5A1s#7pSWBVrvp@hWAgaine&uf%ucL zk8j{0bum6mYwJm)W7rMklL1utlcvyZx)s7v3CB3oS2sx{{KUGh6=k<^Fmt(s}0}GF&%n z<5~ni0lSG*xYPOGRAk5FMFkwpwKfv;t1Y4Qz^9t|22`}P{=Q&o71^6Cga0!)xDFPW zmzn8*d~A=$tn&v~U8hsS7vVBek%fvJ(z2V1i@i+>c|2_*i^sA8%EvcSYYU7!)LM?LTO!HV(~2c z!&CZx7$OC7X#|3voG~T!!g3FP?z}7TS03zEOw=R~q%8aof)S`GBwMthAIvCg=$l6&t($A_tnbeFnWC zqevz$g2&D#gKaAkGP1+v%;&We_hWYfg5b{4EOFp07;qpwuJz#S|2}Z7v6=IdzK|0f=xztSb_}PgxKqHe+5L&XA>84pFX{1V;gg8BYlYi zGT4>wQSN-@j+nYfY44ZVEggjdNOY@vA(Eo)BfErY zCMns==JyVhlutrdcF-ZxsWxZ8uuh8*SV)HVDQXO@{N`GuFby5u_r*3Z#9hy$#kLfX zTqoT#@-1k&u$gISf_F$E4!qO zj1h3#T}I=%dK;e+aWSz7ulXF(Juj7qd0NNn4Eb-HvH<8@kaKdza@))v-=B@VIs0h7 z(iL>SCH!PKocbP}m>a!dTpA=6yN(A}!~{Hjk&{dH6TaJ0_ZIWmBg?kG*A2GpU>h4{;wzLhe z*~~Xa!}0@&h|ogFxJw#CdE-}>_Uo=GX#q~o+ToYbCGRsxnTQi(R#p~RP8dKbEoy{& zXo9pQLhT=EZ@pcR?SUm*AmC(^ogXb_%+Kq5{rYu#rl#Pi9yq|F-;O%F zNKH)*LPG7N6sYv-xK3ws5kGVu;8oTX?t8i)vatgz}CWWV4LTK z5s0p^t^eKAbJ9>9Wriff`ND@j(07HY5DRQ!@%g}Y;Bp<^*pHA*w{#fyb~K1JwrhRsRE#2=|taS z0~fYsX>N<(%l8D%202oJOM{pXqTCOhcpq@>QjMyw+O|zW09_i_X?g7AB}~^^;P~AP z=*!&_ksO$`e*`83=l%3>RSROnB#8(x9^Z2v%BX^aPGe0vmh=LO&aT zkst%fI5@CLOH0H2OUL(S0}l2GAS0)H9li&tTI$m$Bd~qm$DJtF)0HcYTSAkA-OvWo zwvq3b9lOOP@0gi4q3Zgk0OFtjay|&?DDh0%z56pYbc~Et?Cd{5_&o(s^p=l3 zBq-=))~ezJ(_sH;SNE^I*2Z9KI#g)!GN|P1(BOn`DlANgsXJ8F|H~X85DOM}>#`l`ybD9et zDk^Hb4R~J8qM{-$Njg*t2`4Hp5wTi@qt>&RPXJ~$o(=PV4+}F{>kVhrtPTWcNK0sQ&UO6j(6`uOX%q7-wFw(Ta`Bjf5)MH)@&~Je8ml%C#d@&8;D4jUAN5}}mv|LYt0;FC}kVMU{_$=lyJ?(46n=qKDc%KEx_sfHmn z^YHq-(}MFh`GGO)&dO96d0%U=B?hZVz|a@hX&e~1HzdAkip$uUn(umfRR*(-vefH++z^LdInEf5Je zkk5tPlni#exBgUcX(B4GV`C>qs{Z|R2Cvy#HbUM}@kp{~crp(p+OVAkSq`4>%bZ=v z3l?V_Y$d-T^_dx>H$EmCLHO49_cd}KKD3c){r5&uOMkgvMqk=}pnL{_V`aFqdf3d8_t6`UR zqN5{(V}!GEW_Rlv@}&>a>&kNaAS&@)&L+6qb;vn9--pgl`sa`&rT*nkGLnc}L0{MU z-hvD*&DuZ13Hn-p`Yi~dqE=H{?#H6EZ+vpAn+%Z}VO@n}YH(zbMWU>l5jBYMg(fAE zg5FEmg10i5sA!0&Xo;N{#Xt=U`NL zV$C*=b&Uw`#l}w_v0QvXxJduM}MIXHn7O8t11+GT#T)t%3~3^{pv8EP953H-5Fp zYms=f4LsXW87SJ!!G&k?v#I=WX$!j8So3+GhM4trCEv%Hu6QOsYy$(6N1yFpvba_ASV`>hB()zQHTo+rfEl%cUx7=xZju(Yu9g^nC%7zCYI`G z{xJO2a-{X%St>^cKcL+wT+6CFFF#&U=_|{ zXdwn3a{?ai@}T6YeJd`m(xYa0bBHfGng%%R`Th=tK~(OxvhpJ#>RyU zzw%araA*lrsa{#~pJ9RVOz?1-nYY5~KC^W)eFwq0RJdBFr<|@wlZ2dqx>ePSUf>d1 zL?v7H90Z5FDJQ4y5f}Xeg8oZj0lmohjXMi-%fNAD)A!eFMn3J#&lrrop1$CNO#gOzzFLF-u)!w1i_?6*&~ znjR^Cgq}$FTsgPLx-*@&dS~>_uWU(M7IMW=a7C)CIl;@eQ8fIyQBMhrdNlmT$0f4$cFB^(gm78tf2s;OgOZcYNYun=*N}DA;Zlsc>l&9Z~_I=i&b}Q zxOvym1IPpgocGPSliyrC+_}7ctD=DTXK>;j^W^rNIx_i@RK>xZOFUCel~aM7b*Z#$ zSZ6Yqnl-oif>uxg2C?(%8pc~ni0e_k{c)zGb!k7?!X&PeuUqLgXBB=k@6Tids*D#( z^=wuy=h6lf75mrwnbk@a`dW^~c;e!)upRf0*WR-m=}(z{YX`@S3yv8+^uqYfCQ#@!f4hhN8{^vyk`fqMNTZ5M#gupY5g%Sc+9oNRf)hL0EGM`CT zUxY?bpu{1zVmAv5IU7E!Gz|q^0ley(2lX-qJw2$$?25l!+CA(nOhj2w~(%`%KivdP28P? z1ZA~(xnyU{dY%`~P|O|#H}clmjF3U^CyQc4J>JL0Tdr?dyvFUUHqC2&Y7f6TJ8(X< zwx2NtvCV?c`!Xpmj-l*#5221;^B1($D=jf;+;j!bW54S}t3n-YD z*3$-tcdiR8Y58sR^u?CJrE1XE(7e!Hj`gFL6Wql2BTtQg{{EY;{_yz^R$3ar3)l)* zsfY+}ho*_us?TY8d?HWRIYD(+Oge69#05CqHvi~YLWa{YWRaHK0Tu zRtc9!Q_nF&To2G+zL}h^hXA-opCqK~@^W{n<7>lG{pq+o9&^iJxJB1Qk=$fy)jyD6 z7Fx?gt7{8k1X*T0i>)(aYVm$0 zFXwHio0NmFbVL5jz;4|4-0E_7mo)Oix^)qM{^gmjZx)a2l+iT-Ys~O5+sIG(%Dcyi z$(^D_|Jy9!@<26lrdgGiQ$=uOMBV3mD?~ff@~7{UF4vRGexYQLso5^r*uanyI90W0 z;vs5z5MA{;$;C&Zv#q(CTPubUVg26GEV55BT=@{EYR|f$l5$5JVDTe2-I$hgg#gbq zyKqEkzF0pgtln)#qM-;Zw8QpKj>;tGy|V@hSe2=#qGQ*3#we?Fuw#oWta!{s-v?Py zvAC$v>2p9};O(A-4S_0U87GFAI0dK5(Cxn9NAK4Dt{~I<;{Yu;CPrB($xzB?S`KCE z??>%5tIo+FLYbIs1A9RyR;#N|90;mFbTNOoKbxnh0EhUjFsjx#L{92C6_rX*ekw`$ zPwa4Td^*e;Rb7AoMBDa;DfVGtaCz)kp$+r1BsTH}eEXJMC%pJR#B9j%7^;r<_b;cT z6EyYX*=F2$OT)@s-=6yvl(o1knllHL;`bX`_(FJ76A~)s@&$`GAIHgQdZ}n6FK}nu zw6~`8p>MM>sysby%O!2gwKAbA3U%+&_=(t7EVrg^)$52NC^jM`@1 zJ1S1E7Q8BAt`=+9Eq;cAm8g~1vRlOmY^5{MGRl&EJ~K-L27~p=kljABK$4g5HkB-L z0vpsJx>Rsnpt+bRcxPww`7@~hj6oN5j%5oKBM2T5{TVvzpJ6ppj|N*+hzQ2Uv0-?3 z2vn?0jRA(%s0p37Gm~?7_d>4SxyYfP?dxYU#VH$KwiO7&Zl zOe-y3nibP# zHnBZx7gK1PoO^QpbYS6kZ?gAUcpOWI3gxe^F4;woKG3e)K_=GsF*TiLbvgW;QD>Y?bhV_v!=SB`D(&6~8bM1!X((@;0XDNG^T_>5 zY-=B#P;jzeW0@2wmo`XwMufa}@=NfF*JF#6xWAvw$Vm2U0O|U=icyVpSyacwm7C@S z4JZc1#7Mp{iv^6zj>oFLktb&;*^XVh+pm!yuULZPbJ-mPh$x)ESE{riljU`+wyB|-HT0H{cnuwNznjpQmZS1qH#^m`*ksEMzo)7G zg9dfSKGHZH9~ahz<|4VV=JH3qMOJksgcus+6;}X^RfoRB#^pI&Kt)qM@;kFXYXlrlxOiSB~FaiKQm$7(azZ zynNyOiYSot%gszUj~r+j{1_ZWU#hP%W})EWDd-%?-YZrs^zp*P*W0FGf*5bfrIGUA zH{i{jyvDP}Y*SD&0uG0q4N{GhiiAWrQg%+t_hJ;xiggp**C6sX{rhBI*w23y z3rini=xLn+g6MC^1_?hC)OBGNZuY~fj`f(A>F(L7jl3~d zEuQT)?^fD0h-)PegStbxKn?q~3KWH&Z#EY~Jbra`ck+>o`q%kR9LSoT(f!5{wN|-V0;WG+Miu z8X(~46<3T70ZWgp1ussK9iCIy2G6#ZZ}&uLp>*%w#l6Q}FG zLMOTk1Y&KiN^Ut-emINgcO3k-1a#OOqSMQrx-mpS-iL07hH@P?%W%<=GROkxFF8Iz zB6igFIS-`gi3#>#%qxRr`*8^KVe5E*_6Jwyrr$%8WqcfFyoBt(hptbUb(neGD=m$r zAOQ<4TmTd$323@}U2Im}lJ|22ok-QPVRd~?)R){vyzG6sJ=u69xZfuKhYPTBu()6_ z#Y~zYMppJU8Z?n4WI)G=L|r3s z_vvS9shNn7y$FP{(W~JwWr`*WtO>l9B!ZIj5k7$;#JUvi!`Rrxl(U-Pyz@@> z7#RoGZ})Ts&Z7d3I#^8mUZ#PJW8X_yT%jrs%?26I_$|CtDrX7?Xx{*r=>8K;R$Ze? zFx#R|DX4o@7K1C5UnD7MYHDGkT8f%`6hC4P!rld5H>u+IUIh+A1gX$VYeg5^0lfsCuq$JfH@hNDs zS#i?{IiHrGP+FeAZa_ouj>f|`5I>tP)bJHrn5wPR1L%}>+Jp2l#KVPJ?j3nRnlb1_ zZ#-9mj`@I7%*vwqoWTV8cVq0*aM%}JwiU&s2v9fkBR!}c_=9QL=_Tn9D>=V5C4YH7iE7Q%cyW#H*sBtYUh(JSugg5if2l-A}Ri{)@ zr}X6RNOjIxmnq>DX<72HR)d<;5fVKC>0WAI%IL}M-om^K{{D=ztYom9_x%o&4nrUo zBn^pt#Z9$jD&_ph?)r8ITrWC4KPIKbjL)_dT|B(}Z+}q|<1U(HnRbc6#Plt`2dy0X zi-1bjqzBFC6jX5EpQ&?A=pkow+ZgPr;iJ4PB+9Pk4FCDF7iyxGV2n%&Q6BJ?kW7~N zP~>&ArdEbf16Ne~Kplw11@;YI9h#-Zv}l?v4DPB=;~65NkO6lfYt-s zUm|8b?W75W2E8^o0e1mQ^Sdl@dID3EZBU1`8?HfgH3?(mEKE!$NTX8ap1&v|3@a9n zEcVjX1MQ<|uytnLMnyz6lLeUmC=J@-yaRtmdA&6#8DxU8^L3P+88jD{Pc6QpP5vF=FObr*7U|!$@O6T3Air(z2U@F za|d6TBMQYG*hu)0l9G1gG$pCKF1A#)0f zm!Ce-?_MN+@LL|)bS~bkUp9aa;=Rtbj82ua3;*fH-`@8nkz>c1GyllZi5lQ3&}v7} z4SYrcFZFFrp+->LBv&+nS#@p?O%fcHhX)bvMG9LohTWUI=6txq(EKmmiqQE@=j3+# zb)Q3f|L&}Gev;j$ak@H)*f*RQII7=tylSlMkh;>3dg*B5iwdzRCD9obE73hu^2ruz zK{Old{3J8h^jPoHpaDuy;{xTjO$-G&+UWxt*OpncDyb)$|GW}Is#%-MFFCkk&ECjp zsH4HKkg&Wh>m7@HQ1({@)Q=ZK8wd$9IgJF5Que3+Tp|J~#@#B!REIK6YLY(I7y11C zn^~!F);40Bz)CG)ObuW7<#%uI$w7lKax=kOe`nISZzoKG6*x$WUTH;T=ySX-@=AVq zUf0{pDpz(%M}_q1ljY^fxQi;KDY)FBm2krx6rtIb|KnlgQ}R_)AOnRQaBvDDc+mQC zSQ+E`m}$v5ace|Rg^OqT8n@`KOAI$E_iL2{J9=TE|BoLzF@JYx@gd4te~c8r{I%?H ztC^8y#M_-WtMO<^f-dS`=p1Of=!7CK4O!ZFri}*`{zs;QOBv!n<08@ZLb40~T~oEZ}ef-0&VA;qIErOWFJu19TO9?&s9fI)cI$MIGU9xudy zRRKz-d1x}!)bs?Zg87mP^i0rqEOw0}`=SB+q2y{1_t8I8o(o@f$<1CYP8x0!bm#Iiuf8*v{njRTX#J^ z1bONyW+BA5<;G2Lqf*EP!>~e*Nu3%5BQtfL_o>)$3o8B-O=@vjMUd0uh=C!iS_vv3 z{Sl13g+WzL&d;AB9s(lau7CH+FQcl=0SO|p>!5Nke3hW$QRmYbDi8h<-0ko-OSK zb0h07>epf&^H&D-LZPWW7G zDJfI`-uVf)POIJU*sK5O$Zs>(d%PvAKLW@C@FFE@Wq`1BzxKwDnwK}RGav-1F<0!l z--#T7c^#Q9<%WyrxEpaWnv87&kGVyA){-g@ZfUFN;K8JKWQiUBt>DKueXN{I9ww6x zVf0G3}~Y+PJS@+}|SLQ6(JLq+Rwtp!hw^UeTlcvm1hRU)}Y=RzHG z3t?EKm?VqjA@D#O74B3AsrY?=(x_{-UGH2n!-*X*6M^xhUkoK#pBe*KAT>(>giE&Wk+{863`Nn+5sn}ZXbf%GQq#Nyd4Q5taR70G3 z&|`_}>K}4DKEe;@h)$aVfY8!OG^gEQ+YQbd6Y!fveO_1egYuDo!-`QZUFY*tjMcuM zWB3CLA0OlB2Xm}{NShxKpXDA;Y7fj*8T0S#SP%q;%Y7z<2Af3L9>7QPeS+{?F6 zQdAuCr-n^W0~63coB~wgS!2}Wb-yF8{t8dcNy-p(Ro?hErgDtLe#Zhc;MBn4IIFRF zW_!{mx0cQgv9m=l;5k!mcXwoOG@~GA<<5H!Z#?$lBZcNsziQ?1F$BXtdb6rBS(@0T{Udh$_+?B=O1Im+j7Xp|m1-U>5zw zuy9#X6CQV0ujJj8;N^n4TILOzda;P3bEZR+3D-XwNrb33)U;P%ZmUPl!U7my?8olt zfDvW^D!j~4FrtBE4CEomXuj9-Ak_MR92=LV8e7tbyP?{dmyJ+X{m-pJHCEizG*kG? zb8=Wf1H=TtCKbUK2Xp8*-3nQGrLsYZr>DhO%6fXZ_7MVo&qOtEEL-MCxBrFG0QS@`SuX>^Pd3SCY+4-RYI6w%JyZc~}dcPOo~AU~iAiiokpb4bALdF0quX?Ay0*5p*k> z&XdCc?F!kkY4r4L?8WKWsbl2)Ru=Ah4*u&xYD|f7lPZJReS-$lriK!Q)wYHiwgZ4| zX61v3w8Nuvx(1@jbN1+wzI%@EBPb{;DwfqXAQ&FZa+xPf&egN2sDLS?f>~xL0K4x@ zO}9Oo=(pFmpp8>MLJ@TN6w`)+E!+(FNDbT!W)GI_4Q5G~D@&$G~*UCz9$0bf=89iBnanP2kfcWY8kFWVO;^_@=Ng`wv$2`EwKa8UO#%!qW=z#DaUp{6bs*vE zupQ?~bhhD4B6wOVisWjegjw4LnVKkG)1kL;O$)XlPz?fpYBwP85eWMVz=-m@6GiY$ zQ>PnGuw9Cck2g$KeNylg03#Tg>xU~r?}rOaSODuPs8&Kw+h?pTWjx;pFKdhH+Z;wb zT$8U~Czz;^T30p;y}m}yYd`&xS9B&Yi@%5b-m$`i2Y4hE5QVVt@PeV1)PV8c*vJdg z48KC(7UF~^MIkO)a7^t8SCGYI4jrQWjI~JC{6?^*&=oE6UwOFmWEsvJmaJ0X& z%Q)au>sI#;n02G0cA}%IUUhat$wEjxm?VM-i{f5EBx;_E04`QtJs=Bn!%-KV0&4DP zo{TykqkDR5s{o+yqHT`o%UWBL9CbXAooxzAkEFLDXh~8ex1Bnkmv(Q5u#aKBkreiR zF32yl*$+R;iK{0j&eq)pYH^-zB$PWcN|~E)W`&wanZ55QDFcd>?Pz&<1DBVvy1KNg zEXJR$uHiJU{wM(qTfw3tJNw5QN<>{1ie#a22?n}yLg$yJ*&ACZ%_d(AYYc;fjRNbG z3~3nmrA94ODUbgYQjh%vE{anE{bX-ndE_A`_7=d8bHSsjBkOcOUqkXAG!o7I5=OY%2@UYk3Ljv~)#l(a_bF zXU&OXoXq*(<1<3iV6) zABP&H5BU=k1;4^o#kDV9z*+vT6@-9-~7XtJH&zE8%XWdAh8&bX_ab4|wMG&c4{U#^%!3L`2*GctL3ue9bCxsXZ>N#p}^ z{5j(G-Iei72j+tU4QJ=m7JGm=>uhbO_4uaLvPC!{ZqN*UtC^FkGePh@?~5@iK$4;L zdpyf%ygMXBC*_;Jx|iU@P*PUEZZQ|*O#S=mycSX8<$j-|fv~5UWXx`dF<)AuO*R|2 zqB%~PZP}cN6wvI@1Qr6y$F4MBpvrxYI`WW}MNf7%c|DY7nE9FHclDJUqnF>u5#DJ| zgvg%kF321~*rbihft+)#vj|=`ax|QZe7eu2K3BT%?KX*49U7*BMd0z9GV%`k2g(gre`_P? zzNV0qH>Hk8yi-}e@xk=8wat`qmNnC0z;!k<^2zE$kBrhH9V<08Gjp7?X{fZ;q^F>$ zO9;kxi2+Cg8Tm%yL)}Yfwm@ELEm5KPg_g?w+3y>_e2?7`baS<23vej8Us9H*HTU!u z(=bwKVg0|SZ2Y4iEZJdsCI~-bB>*#?!+Dz(RV@321D$K&v^-72^+;@lk7OGgYEoBB zl-9^AP<6n%y2?tKlWX>|*8OaAsMFRh(}HMY!xShAI`TGFs9-({8J}snaw~6KeG9-6 zpcINtUF2Mjxo;+YfTzzgKcQz()lb*uuiBqkD4hJqF5b<$x_0uL)&RU}!=r`x#Yi@0 zK4;KSZ;<@Y$fp}qxD$+gPH*>QnpT1xzA)?MOzqQ%$x2HD4UO+}XEwmc{VjcP1%wE< zO;lnk%8Ky(uD{}$DxE&BB?c;tXWD2>$p&5?Kz#zw=U%N!I669-FEn!j1y>l!`=8;& zJVp(3{lmi`=yU(yYa@&{yXMZocOCI!bOe@7+o{eW#1=a;SBwIcw~Ttm!oTr>j- zPa$LV}VKKqoz~167dY{D;hFsi*?Ke)Z1InN!lxfQgu1hJbNlJ2NObAZdL8 zrblFq+Vuttb%;9U{;#{yG5f}|aME9ro=~}%b3?R1D@_I=Dgy{;PymBE4*5koEx@6G z9{=^`3?B%V`hW(luhm2TU(M$V5qxFN5BcBIUE%g7mnyC2g4OgUk4-D*R59d3BHa00 ze^TrKb|w)2Wtfb`lLe<3$``g{n32s*g8-_oI8tl9-`UruH=;z-I&p8+)eC zs^G|@!}s&q{n-mdMb5F<#sv-6!(YuFl<_`ZSrjNXT8zcL8sv4C!AmOX<+ z-pwi{FHg(N42b`gDDJWUd$v$F&HO=2#4#=*99twdGRcI|JY5I?N5L84?qpVuvmTxp zr#3_ghBDGUcj*8vIJj?Z1$@+u**(Gj`$aV z;XAR8ILa|10AuaK$jyoDrf6`0-@BF-LbeJNTw8CRu0M+Wb@~5JE_5m8IB()xNkh8oS-wRsS-#?-@Cmou8$YNd{h5%UEi`N;IfmMijH zZ4{l;Zct!~a6A_YK*8JumDMtknVr}$(9^H(6o7Cs1b+YlHVN9LC1x5JtomteDgL zGj<}Y^Y2?C)NX|#osRoJU)F_+0`@dHfd$XyLkAj3v214(JkY2$KlSl%1=@gaKp3}g zS%69K0P8$^YCQ7S8ymaffq}J>3boUXgp3-1$>5rucY0yF<+%P1C}wzO>P&{pAswwG zd%YOblTTr48rvOb+kEMAX%1Jr0R_riIC8Sn`{hoQRG_`QPBca1<1Yt^!4!dkapinj z3Oc%eyDi?dr)eOOyIu_)fql(1U+^&Ey?D6AFc?e>CE(uoPOUams<}adFwpK5VhOzL)eaf_GdOz)}6ME4ww0v^CL6YD7rQj~9 z(d$al=^|CEBR$_YEd`;e7Z$U*QAG;!`>)`Wc^%#YZidnQ^~vwPzBOLUO)bA?Il}ae zrMS`2(ID6MuGn*KzvEJTIu}pUm@4mV_DNZaFJ#5WcDQ)|LcZZp0rRO6^m`PNz2TCD z{e<9_e6DoMrZ^$SKvhT5HB0%AhNQIQ+jv8z-;2>()dtHtyd>@EKn+auFAAxCosdd>l^PbyBBf_ zN;|<=$#-%cQNh`n6DDx5YrDWpr+i=mhXq&`Y(Q#f9}q{$!jhm`(!LIo1JDMzxC@X0 zIM3#~PaQ_)6D{jM9k_!sURCz^45XdCr)9hshqi+DR|g?u%15&=x!4!O>^?_U6g-_Zp159v8=y zhEm^X=(xEffPM<}(99i^?<>w=+C3mw9r^VI(Pu6g^G(F~j!ADAAqJlR&zL)Q%Lxsj z9Yzonlk+vNHutU-52>us3o^Yb_Y|%lYsNT)M^xodC+Fj`BGO>oMj1ygM`82Jvse!2bmvjU5sL`Y2j+lyBd@W4d_KlF>Wc;+ZcU?-H*4>TSK`8{o2McOg_f z05VniBO)uGv-P!B{O*vh|C+GfE6*kL`L;X%d_$i-3=)RLto0|dE|*7S3~g>Os*M8S zLrF;~k>8EkX=|98QTE}DwV@#eOwbYV3&HRJQDvFFddJ!IHs2wK*9uW0 zb|Q2NqP)<`k!?kkNHaVYui(*d`ub^2ac~(6?rm=v`FgbG>mJ(Wo!PRLft)W9t^dOX zpa)aG(teao6f$>zpzYzXo@SkGu*3Y-?sEr}XNW)_jt*{`qo(=YW?=-lf@n!$VaM96 zb>kh?8lM-rnY+IvrKdn~Mr6LB?iB~PahIT9=TG$?2Y1ldt!MCNfyM9Ztml51J_!k= z@nyxuBjvY(9w2NJe|-PG0ubLiOymYsIlO6d00;hlzm*z5L(2C-7aei0BBiqI5wEQA z(JYoLO>W-jZf)0%J1}r!&O!cr&uYmGT8rJYa^D9EMsy}h6b=EM17%I=k`&wD?WY{{ z0UR&W`{Ae$~g=noUnXJ>=mA;ek!`Mp% zen!q4Ar-qm&H!jZ=t+#PC*ku_)BZ@fX?aG#uJi#SB&Lc>r7Q2d z6i&i{Bd<|MC+{KMbdF{PkHzPVUarbQzSzhNLcLt>&l?w})qS72@*^R0-2*AWw`Y^< zR{o3bYZ#9=BYx~Af3TM7fqpj>sNo+UuR1t<@2~yiY=Hi`i+|7!jMW9_FG^;}EFPut>Q++!efcAv=6Z}7-PZL$Ed&nSpX zz{0Dls_Nos$`1JMLZixYi{#9*S zgrQTNp9j1I9`V`nAjin@v~lDs$J{jwX=&6E!7CCVGQ`wqTJ+rG;&a^}#E~B?;mAaN z8mq3U@_R%DHQ(Nrzbk(^e1LtLAZul3LBs|_>7H-zNxvVRuQf9+zV25wtsf6-PuRD= z+6cyM=pL4yK5i7UO$*<`_3Ax;P=yqEDWH7_PZedUC$L z?MFAa7agqD(;ie*wH0+07DPZQcx7Ue%VY8?g=)xp^~E>vc>@mMgAStO;yx%TVZ+^B z9nk`%C6I;Q)Tc$1mI~_yup0e-Kku=H4$8URaUnk^SVQ2`RAW5M0NRy@bb}pk`)V}o zGoT57V=2CnLS4>JaiM{Wewde$LR43M;apvs)3w?Y_E&DgziMZ{H9B*~hqAoAYYzcc zWN~nRsHdvklBt6%(+Sbm#)d;ThPtAXlDE=bN`AjTe1QAy4swAr_~?sxHU{sQ3iwY_ zQp>Q=037r)2n|3N3_e7I_iEm0?BdtONkpVP5Dv2#Y}r|WQqAaTm816SSI_t9Eg$7| z#79&ODMnid)c2P{&K4TjvbENBh2i8!^tN|)-1(eKlYfnEAf$x<)QrS}77*9lsVNHW z;L(@2eOaDLSl*rtJ^jujbNwnC6{e8e91MX$8rkvnIQ7S&O2e(OCZ`0gyWM6v2?;97 zj}b3Lq*GvU4-Pc)2nF0(!ElC*-*tZ(Xka^6?4y4E#I9ryCw9XDpOFAmyepu9;xgDU zKLjaaU*9{zbZYo%Y0>B72ZswgI6pIf)z{H9KZtO@5mg#jCQSDbVarTp5Xo@bc`Ju~ zZzuBNp;0t$?j_LXbd{3b&nNg^WvGtynj!7r?9LdMI&&Xk;IMjRi)18v!RvDe2i=|h z)^J;%qk#B@!S-xzz}Qr~t#&h`HhRN{vrIdzmpe^0Sb_}X#vAyfAA~TcF!9Bbf1-DD z)Ish-3By@$Z$+PUc-K4L1bI$BH+kBEG#-WrY5b{YlQ4ODOPTS}BzFhT)p8edzCVL< zu?uZ*P>mQ`vHJp4`~kL2EdEjb{{1`lnq!dAHjUNL z`ODOBx*$fGT4-jbZ(fJ|Rg0xD_gsQ=U4cmGozfAL>i_O>_)Q@A3J3{)O-3`}G@d@AZ1UU*~ns^E}VL~4(#I&9jCheMJc9K-*zU+yT3n+aVcTv&)ZT#JnBAjIn#g+~c zU$uWD9X*AbR_=!sgNP-$b4^Ee-iSoXz9U;i6;&rS-g@%`;f;Bhc$#;Hgw_atcNwrH z&G;f+w4ousHZ6vqyfKnm`A&^Y)Z8k;LT94rLVrFBu}Y(O!(k{5*A)~UF~lgpp{CZ} zxIO2_XxGx`)R#?&y|f0kpc%cdgPRFj*BMgHN{P)abl%th_S^MHGNhRP&ed^p$faRr zwZL)dQlj4pHx)q$UCC!YkNR~l!#jPweQDKg)m3r~G$*KLVt z`MmYe-vw=WHz+7b?*sQmy}x*TSHWBDkQTCZ5u-eaaR>lzsdSqr1eApoaoJ;mj*y7R z*^D!h{o3Cf!rM!s?-(_HQZ>l}&zvALUiZAAF$MQi#j5Xb&Lrt3scmjY&iL_{yzf?B zc{P|G<4BxjAH%2MNk5YQz;`)f%)C;}f*7W|BUzE@^+G+)@-i)-9NFt*NfMWAWPE#bd`xY&3`GMNOq?`8+Ci6wb%%jJjpC_&qe4Ez9AV3X) zF(V^BXoH%Tw!%jCtmofwUNINixo@W7xw*!B6AGSx1<&3Lpth*?P}^DQt@K#rKm8R1 zbqN18D35C}jUx5Kmxg$9&edvP9&FbuxKhexDIv-`6wZqfNxUC6aIiCd=`nlwrbkEo z5yAatHY_)Hj|cwAM|sKw+2Awg#z9m?mKN5VTVZY|S4)&%QLBy9nWd2+P4#VPog5q- zY?{M+O-g1MWFGXjk{Zd^yCX46y*rb^F~>)?6yZFG+}lN0_qY6!P6Gk4E8|)E@V*P< zH9X}HhwZ|&mt$}VG;M`kxU-g`y^qkhmjkJ>|7*qaOF4u~U#`*ns+*=*Y%!Gww^)|vVuS9``zeJR#K03Br z5@Grkti#mCi)-afqQ=c&a5sVq&8td=yHb;MGRYS|Jl8v1XCRKvK}Y?RBabTgG;3_j zUidPwIb^&14F5#J_~WKyLqQb&NYTe?Qjz|?!i{+`?RUNmr4dg(a_je`T-9!81tYwj z&hd+oTr%H%7eGl<_+-4sTlM`fCLi7RzifWIeY3ZHUPns{la>~2`qELk?}2c+YlQnw z9DM{&Zx`iX7OTke$G1l#)1oSt1?jcKEl?3x$EW)%$V8}?Xxk<#HK*sT8tR@{G7*%q z|9l}xUg4smr5o1eAeup&Pj>VedFe8eKXbi{PZLvUB^OLko1V@qYP@dO5*6S4?iz!n z$AS*nKk+QHmB_AUIAq2fQ9=CwZDJOL79h)-_Q=AgO71S(BMBkzpOp1l(!I=IWH zBhvI|ITT@$b+$*nj8NNG%DTA24r59CbzEW9XW57~@F+py(?#?8BT|=tx`a6#>C1iD zJ%wUvMKTd@_kR#jkl4M~<--R{UmrE6L+XEc)Pd*&1qM}?5PEgVe_K((%KqCAO_RtP zOI^E`hAE354)X(C`a8hW=)>4|wKog~o??Na;5!~^z-@y0@RF--F)*B{{T~mWd^=6nm@$ zdo1oNr&J8Ht}*kA8gG=}tQ6vxK+^Cq^TfX2s$-4Vy6-P+4D5FY6oVv>r>fn=`ob(# z1~TpAEv+uI z^ytDeweui%c{0_Z#5=`HPfVYs61Nrk+rVxbs3rWgKP*9d#Zy?WAZl|&R?EP3Zdoi% zdS6y}`-@6dps2?W&17cT0H5pU_IEJYZ*mWZw9Jz9#N_P|eyKO#xBPC40h-}tv$X`s zkpM&@7JmI~%TqS#sXH16ijO{5^JDpEG-;Bz*F>7qv+DJ29nH!}X4)E@jX7OzO{lL7 zt;MSjhD}zR&;N+Tx9iyCa#Jm4$4Kmx@p|tH&%~u*QY$7R+AH;OM?s7uD|Oci+Q+%7 zS~Q!Sn>dB#T+!c0pR)yE7d`-VVUMTp6pA`g{#Rn(<+jkn7XWG$dLlRSZ_{uqvO0WE zJ^!mff@1XJ_a8t0eFzTVc}nrZzp6^l9~1x z%X-IGeauDJ`w;tWPX~8Ae)iq+KHEsHv0I8HQ*`Bc&!#`Jx?_I2I>5BP9`;oUVq(?3 zKeRZ@TD_ckRW$l6jXc@HBhYbb2_>QIf&CPXMq7ja4UiX90|FGGlp`ifGydhSbn0@@ z zEswvEYZad3cg7diZUu&qR!qyg2!{Lb;L82Q?bh0-`!`7JbW@&;O=qpYHF*B^${7`z z*KfB)1ioMP&iuH>ZpKqoyd~eo$s5H(P#t`7wYHAZh5zsG--Km%oWr6Q_=c5()yllK zZngaQh1C|48TVHi&AL5Yh!=>)om8`kiCztznWO%Necpr^Y}?Q;{u7p1XC$H}ZWUVJ z^f+gA!@BNVZ#$X%pGnNp%$W|_m8kmr(z&*z&0AU7xHngmcaV{OTU|1TU?qZRl*xpp zr0CNEx7k3qEP3Y+=wCrB`E;&3CCQZQvx8ZER1z;alnH$>&i(Rb(@!`kE^H~SAtsO< zEHFIS$Q;s51!FCN@>4?Q^;@ZUc!r&=rbWxi{c>`ukMvvBTWA(Y-<@^1l}5&Q#^5|S zRMu4F;fL{AJ!N=I>PbCO{{Rnfm1q9a4^V`mm|d-CJoUp}#x4sA3GqR0s;Q|7wChOo zj0>Vc$?oN_?dnA{=6bd_yyUuLMe20nca?J-i^4x%7p{01IinFh9C#c^d42F5n@7Qj zVj%5BC*Ow_+(qA=`4k?r_uwD>+i4)s4?if~;ZxWqTWL!R`8|KxhlT^Yw3EZ)yWPioUo=|Nv^NN#SfRA6nupD)fNmR%iM?I%Z**4N)$A=-K~XE{6>)gHT=WiSLktvtI{SmgBg&n27rcD9E2WvG%GM62J8h@{>NW+7{hYoin z%aFXTCz`tC#7-sqK$VA^Kr36X;DC95pE^CTel{!q)1zHJ{>($ps|Y1VHnt}n9a<@Y zK{f|IRf?}F3_d*bu9}?J@!My7QC!2l9A?j_R`$2Y>))B)@y-U{L#Nr<+VPQW1710n zl5lB=5yH!Fv5ZYlQn`G-iaA^*5H5EPDR*#PxT8qxIZ5DVu_oCU7Rmp3g`eEprRDLa z8*Bcqs>kCnL3uXQ&vQ*CN<-DK3~!!#Da<=aVgg{jHB2iFmM zskn#A%4!0x?S!O1(zB=RA$9RHxl&joYk14bhJ&+G10OZN+;+;?m8bcce;c8XhJVgE z*M`MvgK&;}$iG_uofXymesHuIjPglU7-LUAFwhv(%TOgTEV69T=)Xb}MTLrGm+d_8 zzjKEj)YGt_(Ub*jK3v!A<;QbWcWrGY-KJ0+#*5&Wf{h{vyV>?vEYGmV3r|onM@=9) z`6~%*O1o20vtAu(3A0!?2MN8)cxZd;Ag@9aW(=7{kW7^qJK5qnZNBhYvzc!DLa9ZK z+SbvX+<}5q%iJUDLb27QHdXFM!>CZ9Hd;UiFL;>M~hJ|2G&sn0o=Un}y`-9CcB!kpL781uWa2nVK1t!^KI@IADGC?@`? zZbNvzjV%JR`BVMWUGIvH$4TF(aF2=uc^E$7yWT3Jg+x?*89n9BwEa0-dVvSBrQ?1t zzRJ@f2^yi`MzhE=5I8I`9!21PM)!fyStkZ9pJVKvW9CM&VIWNu3U_ zHngVFf{#t7%D!Fy<@^Q){?XQh>2}AT?^fIAmk0JX8p~r59+;G$CG`g9d&)$6KG_^U z>G-s5n?xIDAxge5#9h*zl5u5UwCD3ViF9$d8m55IBTU64sqsg|*&Bop28b<#xf1J- z8F&ARS|2(hu4oMw5D8*RoMUSH)3}~|R-AaCQ~PCLerd4sUia(EZr0*Z079|Y@RG9E zQ3e}39)iQsy>Gaw{s;yY3vA>pS7{drOrWVxT73}*^o z^=vK|fLp|zP)4Wyi7rb^T9~7`;laa7l+Wx_R64MQJMkipb~eK)`K#0q+OGvSZS+q| z80QgB9|vj`S%wsJD*v-%iWctZh!@phypmzVD_|HSy3Ks@=o zg2E_Y7;WR$txiJN1=rX?Oy`TuNa+q8voWnj%{B^!;+0{i22=`^R_~3~`VvtxUr>L3 zw#|%c$TakMOFRNJWGQRB|9t@}u-oEKAp{EcdC>Nx?69-<_EU?BlQ{S)69rr4zXOtW z^7YmK)JHNM`FFb6afy-_f`lgxj_fE87LFh60CZ4ex8Q8dVW^r zH;+amEolJ}!U?5bwA{hzIo5at|D{2OgB2N`k(YbBzPF zRvQrC^#Q5RweJf5Q2G5M)r##oy{M}DfyFKHh4xO4{%B>{Ly(jF?wmUiK)u)7l9T58 zF5LjlYHoZ{?kM2klC?ym9=_@CPYv6NtG0B+l^=J>5x9*Jyk6_F%6~$x8V+$YenEEbFDbwq;`2cLa}kj~2~ z$iNnRK8ZW8z>#+Y&v&ivzOPjT;cFKqn_P?cn|Qy4rs(gckC|1AA1fGwOH!yp4BP7h zUJlcBt_!E&C|r8cOwCX@W7kuB6B)bCjOr`9Pum;FZJ08kcJv$NxZmEWmv#2t?V?xZ zWsWn}&woAX_yD?ebTQ1`7gtMf&vssYb$N{oQn4la_HivR&p@Jo0tNLMpoZ$^?H%?0 z{kc08F0pLV_rU)QJ$S6&8@?%18BkGeGOg*cgW1nk8K73y$XYxv^@aw4Q*u7bSX`4a z#zEHmnb7^q5t*vjr7`Aj1m+eQi{rH5_(cjXURiase1#_LZ6RttI#~5_;76b)E6>Xu zS=zz&U*q)~tq9isBBC)@-&WFpoA6tzJP&}tBnS`-9=+_l9)3~BgB&~xumWw-B!kb_ z*4I^U-i)IbaeoMrx?X_=5iIDK19s5^l#(O))A}IeT&kSF8jPmdJ;lnhoW)-}`>W)Y z0p;{Rby(6}$B6&lj%=~-ch@R3*I4Q3rK_u*l5}CTYv78&dGV}U?Wk($s;%VzNnd1h zX4es*e|r$$yPegY(xM1C2nCys`! zhy0scEeRWQ3LSx-srS(zYOl6wqGvmkrQi2{c90pP^cCsv?&cb=*=YtfzK43rwvTq@ zQ6R(j1;?k>lV>Dqm~Tvta06a0=ug}3t57+HdfP(AYh`5x00R*jEq80S zPExwT2ffetZj=IacUahUtMeU;I0}NLco#`i6iYt^#8EoIn={ic%e41p+)k`T&_&Ue z4NA-qBxKwdfqSXSb9qZ17x-CZCy0 z0RVS-gGSq5xbTtNYiSo*=f4vb6QfhV3k<+1*s;D#5>o}R zd2vt+ZAS!14bblBBdL6m_<_Jvg~=(%A_H-w-)A;4334J&Gt@MPs;}3~uTt{Gu}PDH zxbL~wmz-Z$unhfy0LlFK58+t#3U~_|&Y>uvH2}Vzt?oA`^P;9aMZ@d@-*c5;0@ZzQ zH~oG#-#cBmUFUfCm*jtpqtbI3 zw%gxRLCNet|5LVsKrkhq_6XQ-qBAFge>Jr;eG}} zuE4!vZi3ibCc4sVSp-mEEMUbPJb|0%{|*L!AIKh&jiN2d{$&bNPA~HR+>hSfK0=%u*#TkwEnwi$_0f@Z1@h%p^lol*fZM9p@%6hul{!(6# zS#N0kSmR~Y0*&h6j}i8%@@){dFH4z;vAxtqPGjD_P6kR$CnlEH=F*-T4BEFa|wW3zeXK<_8q3^V}>X$nsnpLJo&`Ae40;U%rIJaw2Yr zigCdny}dH-gr{G6wz;k@T;W{olb{A<4@bY9E`P@HmrsL^J6>0?f~S+=G}tsSONShe zfa;&S5OcFi&8TlKN+VQMasnk77>e$8y}VKBDazzpCp-MbXhaz%J0v8eT&!sYKrGd& zEwZi_-R?U*=pB+Jd#*G3#CB4ruhy=(V@?cSR(xB`JnUw)8{>Pc+l5aTe>r5?s2x~x z4sj2CmE%feK24Yf50RVroD9;Lx70V&HkJiov2UkfvO#3K4fxEBiRl;H^9|$3A@Z(z zq(mJ1B{L}ULH~`4x?LV>WI_v0JNq=H_34vexmX+D8b?toos@L?$R`@ro8{_9R4V<~ z8Qv~if2Tzvl}rtOdM=GsQL9BA^Ssbzl9HB|4A@O4Tt0iK_kgZzGABT=`_+!!4G+JR=S=n!`I9{qka@yqZGM z;5CPAcG`DU8+~*f8O{HA+vhBQ=3P*wZh(}(Tt|0mKD5&?Gp}@;=roeQO3F(nr0h;! z^8DO|zXH|%ubOrF4%+FE34xs*T2YV~2^lmJVY+*ll*#8u`+JI#&lml9zpy=`!4W-s zqeuYIEb|u9NK9`hK4ihDSKA1QOpx{QHA4IO`GpK7YBPO_^{;Ehd;gmVsi^QaeKFT_ znQ+EhFiBhmSug`z<} z^J5Uv+1Yufoe{S}nH7xLq5!U1{vrtQ|Ne8L`f#a`f7E5X`V4F$>1Gvg?ZM@;MU<3O zRw|KLO0!b!?#-LT#0l8FQ>(g9l-_@*=Ncx*Uz|0}$z;~(X2<8Lso_F8bGBcfkpStQ3uwL%^*-26bMlIAY;Lw@s&DiZO~wGgvFQ=8{?(wh zmC?Lz<4Nfq_`-?#6uL5h43y&$L{TbFu$-@X$#WMU-E)sQ1bU`9<7lI2*^V* zs*lxpvsAcFh6+bJ4i*Yb_|6BKB`whr>ocmGvDo}`nf!i1|AdHa`!w!NAH+}1&Bdw5 zyi9KJjuBR^@|1qZeD!Cp(@!e!?qc+vhd0*Ngx6$qGS{yB7dSqUJ%%YqvQ&_Pt~qCg z>w5^8^sC(M`-(t>)AMiWm)I15wjo5)&M-J=N2W`GZ_3fyO4a&W*2-pcVerC8<;@_s zhPG)<9(oFk6t9;ruYqwcR0(r~&L1v#sZJ8obSbHTU17nqmg<1md|MGv@}ys%j5FDk zk4%36dp`krXtoeN5-Cr8GgM4KDwztDz~yS{1m(|YOW!+G{=Q(r26=DH)2f$P?81Fk z%o6StYkJv@X|nd>0YB|^5K(0t34Bs)aICxKT)q1RlP~6H!*X<$!FT(38`i46d^5sM z7mbWoQsAo!?8su(2dF?xM`FFb#tw5yQ`fRgo2B&-zm4b`rX7=mu0Nv>VJqPGO)CVW(EI z+rX<3_%rkBYnJNf1-wIcGz6)saM4&TgJ&54e#4`%%SG@lnTi_0IWvl^n1_6FES=6~ zh^*cvF))NxP3Ph1&)XnGoHEI0SGee;q`v+8y?EwEyd$bP*c?vE4w=lgzrH=s11Sz` z6|&^}VYlSu@J#A(IXhNNCr(iQ>+d!iSuTZ^g?ZQiJ^%xep6S=GA?~BbF>^=Y#5LiurggE5yA$p1J#=SN1+BaC8bx z7-8JujD)-Ybm>+m;q#FEBm%g+NfGa9{agJ2|1gVN0aB|F0p6qA1i3B<1H{HwE#K^!JG^_|e|pG9dKg%mksR{d!gu-?eHNFaNAGWsi$y zX2tL<{QGjG=?1{ki3AXHLqV9a$K&5uU**%=JtfF3UGUIb8lf?f$kraM7dZ6;FPu&= zMGL}En~^LiVrD|=^C(_THKV9KupSOP3?ay6)GD+LSt_!aovS~<#5_$(PL^#!kx9=c$cD8!5qQ-Cptqvas z0R()wH;Oj@d+^MUCNR3lHVO4#YJH}wtr0CtB~vaND>(4_TOi2 zYeLwG6)<-WS=^IjF%of9@Sc6}1K!08OVDwBUG0GH-TRbr%h7Tov^VYl&S*o}kzRAB zpJ86wvd`6LfcUfEKQEa`Or)m|si*BFLUeEKHU&xPo625TFbPVw2$9a|7Tj2!t=D7c z{7ZDAKBmQ|AD75^()3JDMMtk&YI?Hp>6;d_p8l1Z3Z>qQ?{+%(T;)KOWnv%x=8m93 zWur$kghdSNCB`%kDT*8ycGPQ<2p=?5P1#>ZPg&yrG%EL3a>MZPy^9B z_+!8x2=Au`NgK7f8osh;{NHO_Xhj$jj%;%gWdHo{e?+iiqQC0l*;pS87JIV6Fc?x% zq1yP8)J8KH1`qk*IrQN7bm!h@qZV*Qc?nWpO18i}0Ct`fbio^C(pw`+!p&XoY-oy< zc?z9gfRG9`_v~x>Vn2t*3Bv3)Bt6kWf}cGJyozpeEf~J-QI{bc8+W##J~e)XFdVgq zQXUo3&K6*Gk%{~hgs{)@zi&anY3Q3#1n{2NR2m|ulWC5B@g6@wdm{G-o@ zs}cMnuZ5%ARz%4OYwPNC>YPnQR`y2mdvpoQkBG4y->D%te*XOV(;BD=sLFt{S!+Oy z97jsepC)S%P-mt{O2dhT#uzXQ*3eX?(i6{&IjjibK30P2uQyjbRe@jJG4Q4Vl-emEDQ_`Z7?#?rlzKMLHwaj_v#+{`puin@jS|6^{dU4 zzc&|usp~Vg0b5a0P!O8mTxWd#>{;vS=}>#Ybh0<~v9&yWBAN{dn+bC8flCK=zs!<-gQD~e(9Bo!Xd+JbsiM;*MgfB8GDh5PDGKHh> zPSyvueSLl|210Elv|Tw1ewsz9g11Y^M)1(Yn5}ZqRp65UhDKBC$I!6JVyW-Lb5mK9 zTlene!kMVrps>AoCIdg%dUq zAd$o+q^43mK@$cC2k#yn{DDRx>M*msNnMZN9LR&)K#3e3F#)8)UqQdR(^3&=iXu9> zS5s4C=CRaXRax2C)<%N(6nql&5MTu;?Fp-?@lTM|5**;Tz@mHuz=3WXd6rceYt#&qjlDL(Ih6XA7rH8MI;+w2d zP}yqPjrAMH$DcAp_X<()v0 zp3U#pCkta$(lnfxG2pL5CWd2meZBMGx3bp~D^$vbLF+U|)AnC+7Y_fDUz7i+AffpxprQHpA1q{(ZC@U zfTl~0{+5=O(15A!G-r0S@A(nx#X-1-q4bWkWlDQX&o2%C3->vIG|?sfq#!!k~f8 zX?Hu23E+UPd+3IsBUlT^gwD|G3Pf4VPr04PC?lIT1C33MrP`yT)!d5N|(mJl{4j)|IO`RHHPzXPFn{Z5H)0zBti9%WcC%9OW)%5?L7nCtR-ru}E{?izr zn5e#S?S8V7FB45nDCkxxF+j#^gG(r7-r+2kf`8z!L#>dA~?yfZ1lRQ0KD1(JE?~fvKUJQ9b z7D2@Qp=*BrHgPO5F%gc8EL&M*bYQ;OfnsBG^X#Paxo2TPx7F`-ty`zfgOfj|!jXiD zS>myua5&J@#3rJti7y0$Bm~^<`b>qk^J0#OZv+|vo5|(g#AKwpt1A!KKmu~$p8NRtEsK+ zE>$f!-RMKx7b%d5mQYc7xv{a)K&6suXG)!p3<^XAQ)nudnn2J5M~ zoE)}gdQnjd(gD-;p5R;X!KRj$NRpD0uE&4yZcbL8_bl%h9Xj)+Bk}us6(kO4znNNC z&^C5D4r)pa#E`A;?9lnLd9sIMQuN=RZJOHHM0i~tnBM$dUgNKl`r&oC2SY$W@cpLo z{SY?)n>P|~-y&Td%>2Ar^?z2yJh(cXg9NmGI>cYpO7O5>YQbXFZ~BsxLvAxy70qVY zN=Z#E@iF(|!RO&}O1Y+{M(mqj<9MgP|MwHk97tu=&Rj2Na zW__sh^YeLNDfbqe*+GN__x4Jm6LG=I$jCsKXgHa9JH{BRlQV#t@OZKLZ8R~j$@}+T z`0W2A5g(f%BjIrH_D@aWczSx?u0B7}H~Y<18LoMfgAj{0Gn_&K;geOlFps> z+JSsDOW?DJ?>`2gm1vUJW*`dpCJK;ZNCkpa3uM+0t2<@%^fH$G7#SJI=jH~^w|_bP zyR>F8?jQv#`?lm=c3fsA8sv66)p)$#QhEBDK7n?XL3c80>otFj z28qZVgu>o@?JIB&wy*E6=8Ulj2tvEM#43&2iBs7O6YB9G;O?ObcfPg81!@W($p7`1tvWI9OW`fe6+!?w zcmw7XhfeW!P2lWU%b!1g@E4zt7V3o{Pm@Io(D$jSVOJLwX&#XV1_pvx z!Rk$3K-S2}$nM(Og!cWsuaDMYPQgyH&h($2I+8;=Jui0DZWt9O#uOw%Uy$8`q(qYwig$lMxHP!rV8V+Mv1V=`9=_9M7EHJD1(jGstaT9_9DBkBd#;=G}F$ z(ePQ;czJm}A#EWch$kBxJ~9g6OSJWd04`C~w6oG1v#Y~751(|`T_N+FeP z8%Fln_i_)59XtG%Rv~5Z*!}6j6Fl9~JZH|X#j56JfAk$Vc>8`+#Y&qnr{EpQRlk1! z-d0jn^k8SNRy)3*Ue&R&VXCgK9`p9_Nb-6ivkgshqiLMxj>ms^rQW`UgH##*2tmRm z$Nj-PHZ;^--T4#&_CgYr4?R7-y+4i2khS%np%x;>1_q=?Z61O7lA*)jZca}FWNDsV zHay8eu92+&@Y}@11j5S7%40Pyw(cU|;=GLt_L0M8n&JD^&rr-zS(=_;G=iQz{b{tF@AMaiPznnE7}@o{JEw)@y~}>%eAw97s9K@L`u)?>)6?zsqQeBpCJ*2g zwzwS=vl(|(o(j;)_B*q%ux!m9?(OAiebbvf#s*2&(5^E!d-2a7Vh9t9fyT5O1iCAg z-@X-@_Wp1`*%-|hbf)@VSV;5U(o)jcm;!9uWZ&c@HY9jbB&4W_7L@)P`$aw>&vSV2 z#bL3r1Lc|(TQO8btM@M{?(Gs25+D#aH#g^N8*6JSZtnWDc4>b>aCC~Q*dHDl?_U=W zT6Vo8PYEvFnXb^r{P^+Xe4{M^K8sGk^W%yC-dweDt^Wg9X0wOevs;jKiw;Fnx>T_f z&>YRozApV+S~4gsF2)zM9Lo`|1!;f3H7$)Wc#Kipc|uWEHlU!uyw(Mj$fWyuY&$!< z@lw@Sq=Ihfk@&3t_MTc>TPJH%dI}2*^FWE{n@vsP>2@NOi6IRKCCPlb_0#-!7y78E zsPSrJ(R~p*Iy#WP*>^1DyQv(7=UsO;6)OqEr7YE;9SH^~iQaj*qJl z5)t7ovI)$Ud_7v#SsxSIK;U9xAAzfYh2kL)T%r%BaNtWdH}d?nwD21m8n$K;5D}St z*!1=Fb@cSiRy%y14?%q}wlfg{i>A0cJuxA!r8WC@Y`Mx%(8}7{^kk(STyeAjSE~~R z_9*qr-X{*EO|0gR%RL#qw(?8lL`31cW4Um7W1HK*Qk_?f0k|L+_9`3~0I4^+*cXy#6 zoOXdr87LHC%;HFUa0#9HoIznQ#5X3=0cexW5PvC}UG@dOA_Z{a?XK zgYVd0US4}M6$BushTdK57J#Jbyh)qe1M=$GnCPbMYpnq|0>vy+)L7Ki)Z>M6I36Ie-aP`y-8C?P1U|GM6vVSW z0%I|dAkNOtkYBv$-x^AsC{w2o7AZ(jxpt`h@H<1N?mfzf(JYjlT~41{M<{~c`JKtZ z!4c=D6(t{3BS3?0!D-q9PY!toPnO&w%*YrHa_(Ambo3pFopXR3H(pUwZ*ie}K5goT zVS`-J2Lkf~K*qMnNHqVubBhiTz0O2I`}_NC&CRbJY;1-}2nkPp@2``|9nLoTCLbp! zCvQPAKj*cb-GY%FGv<+u+Vup*?1EXVa*c%7rq|Zm`V1c*|Dk!+?^mby&AZlEn)+i< z=~L>zH{7TZgEY9=`EahV(%bt5TKW#B%YK3bkt^!=(6Z!*^n!FPJ1fh>(9p00pwfqh zdP{}h66k1X%vU}j4G9I95rt!)UtHXQu(?pmgr)`Zr%Y3ZX2jq27IQfPmedo zejo~bE_Qz3={4G%Wn^Tu1qUOXtgm;kwt1?5G_KVdsW$wP;xJi=QvL1Q@40f#$dkz; zGzu)N?u)h~Zgh0?ByU5xRlG6vl){P%=IWA?0q82^`d$+~A2+X_kL8N)dUjl%*nk2m z1QFrm)B5NOE%V^KD&%VSI)D}N1LxQW6gf}uBrAi1VGdKp(LBGBRXx`{a&|SVGN5eI z#E04rJqplELK_qu4(JP|w2EC&E}Eah0b>sMXNX=8{Qq1amz;rw|MDeecEIggHymGL z4tN_b2oU-{JswT1ay#O7uz}!+2lM^MS5ZH;y4Ag;{{IPgEoB6d?JZbLED{pt2F9SS z|88kIj>7L2Mj?fzd-;d^M5FDT4WrqAH!t}+P0*b!h21y?fd8OP{;i!IEd?y||M;>^ zFDR93ySt%)Yng2HhC>1XWZT->$}{ftgVit5E7#!l0_#wE;PZGj_cF4NP{5hS?{1p_ z0y6%q(Ol8kh6bL%Z|bc7^F`4w!==C#?`yAOVq#!*Ua|b|mm>q03@GW51_$###gb24 zJUnbDh>M@?3MohGu-xm{mE!!*g%A%TI*Ii3zSN$>`g-ftEK+QCl)0)2C%0qlzrM)- zvn48A2nb?&#H=SP6Kb~(LkX$$4MhhS|LvB_%i1(}23|am3z;U_oRXq4WBzw!|Dy{O z#igSZ7DB3xCaCWOd6U~%LTdio(3zYlbV|MhSN3J7QZyRcyLVh7_T0XqeL3^4ic=aZKn<)l)_~EE{KHOGV?c7xSH}^ZSC#r$Hy2DklL~4 zi4i}mYE4dAm|bn56xCD!q#*V?BcPVk#7f79lZ)CEyS7+syI3A7x2RyAUohg{?qRWp zhfC-e@@HhwsPNjtHrn7l>nq1fI7dZ%{_irBvNEpjh-l5+LbO+}x_aR`c$58k_&%&8 zj{mnVcoO0;!Eglyat%!0I^*LnOVva1U0n1O6&Y{`OSAsFME;c^Nmw`xxk%wa7HK{! zQ%rHOVks(G3Qa+5zQ})9DjC^%<-uG@(L1t~rqQ@i=mLouk)N)?gwJjc z^w5}D*(8|oT8ZVP6w%_a^oK&jR72e(rw-9!74h#X0p0d;FTB-!9KN8Sn1aF;AICHS zxCt5F%`4lr9VP6l2A-K5ef`XyKnxPt>ua&&Kjp%r1vcFv6OSuta0@v%5v4^eKut`O{rYM5MO<=G>&5IhG@g%&Up1TAm~DQQ5<;U~Gb)R8 zZPj0{B}Y{Iw}3P?@y`SgJzm@Lowlg|j#)uOTo$@P=ZmG*q73;H(zlzsqoZ5)Go`9$ zyYD$re}WrOG4C~#_wV#G?0&kq-vAZ;N6cmk9LN+BUqNL*6V z7l1Wh(a=blplQNgfCSCEapyuw9Tc&LkE?O?T~R6U!*457bG_tH{pOGPK-%HpCtLDk!7~>k#SIn82{GvN~PtC;`B34l0ZDB7pHRpfaPp&$cmz zy(Tv{HvSSEybd4#o$V&LIn zKq>Ha$uJl}-O~C9F8>0}>4=DkgN*q;5z)~YM##FoYQY>Z-edbyCEEsnffTU5(H9Ao z4gl7MQhpZwCUn54u*c)57$6+0>C*ViyIS)Bl}V7d3$P{7V&s?ofN01sAW$|=y>0?~odf8C6>dZ}c>E#H_ZY-HT?+Xm)STrs z04A@mYaEn)t*N7)u$lZK6_wu+MaT&oNxniin8tdtbA7T_1%5g8X@te@8YsyUU3AJhQ6TfS{P?j65d1cN?f)$e<9Qv|nEtHsI5VT6rCkT0or8<3N88w! zcG(X^L`qlp?RyXMuyCsNh}h~hm$WoURaH__euX~gt_gA|&?ZN7gd;_tA8>$vG(IyU z4JZRKugw>LYE1!9da0QxV*_OHwm3w^93dj0=?;L352Qc@OUqqlY)%wF8^WTZST3Ff z1O(E!EKpxih@b<|1=Q05P`DuhfOPcq^uTgkj`k+dDu@iR$y`aX6o1!GWm63_wD{?y z@ww)ctqt-}e-q)h^n`6m9P&Y+w6yg4(svhr|0f|*QqmfSRT0HZK8*bQeCL%|rtyi1 z?i5!28jD{kW{c<;7-#3(3VZb$tRX?CLMU^07fFTrc9&O-i8Y$cd<$u+k1sX4va+&X z;^84+U|;|#6p(4KUlMHTU%4o;!$s1XhD~sTcgtkf?=J8*ozl}F$A47Q;y!U!8CB{x zzwm#&(k|Qny0pB^>2YeJn8mN!mr_RFJqi{`%>^CAh4z7)rKRQ3O1pkAJ_-^}&CPoY3)AsDaX53K^&LVLD_@)8?X$h&xH)5cbP=7!H6g5Ui?cJS9PNkGTT7VGQlMO)gL zRE3>ce|3G8j(kZ<8U?^H6$=Zx(3tuC^)dga1Kc;C4!+EO(|^UpByYt{lpOX2-eiu= zWRY(>A~lD6ypfs1g>LQdXm2D{ETAwTcJvRf*Vfi-xVJ-5=DlB#@;s+xMBWN1J%N#NVqBzFTz$vjJC?5fdhxk19Hujmva zq(G}q6ZIEyMr&Ld{q^f7pl(rXYbM}yN{FFpBB4=r(2IzW1BnQhQh_G^fuDz$7s`1m zjXTMKV1+j#6H@d3y$a6IpzQW6Q>7-_-h4b4D(`|n&E_lU2?P3T4~WGYzeg`?-kAHF zlTASW_omBmK8)qCHl#BJKK^JM0I1;Z?rySEnmXP<0Tx6wjfRvSQNd(lrb2rQn{jbx za&S7)cp1(NeI;Em4xv0KjcDMup+b7C_sz$pHcuQ#Fg}oDn29goEx3@P` zA)~|`Sy&(fgr*Dd&+ZE$KyBe|ZEXX;y)VVCC2a8}LB>FsoJw{#P*+FAdLziaZkB`z zq_Eq6|9a-;w5`G$%)C*`88u$j#`I(>Bc>sElMCOnRmU0eI zzL?$Fw2%LYrLv7|nsFo{fG8Tt79@abzr~}<>0Ag43ky&YhKGme^!Mvkjr$+j2VIAA zVvZb|6Ds(PHt_>9l|(pfAjV;o)B#401Y#QrJQbAZ_V>$JCBg&j zR-pF^UtJ5FMX?XX&M~?Lh@J-D^f=ee7;=GH*)=hNMMXtbQ@K;5%M=~p#Kd;gWIpf$ z(gno#Zl|ovy8%M(4~o(meJWJoq3M-j<>ZD1a+>&nIyc_LN~vP3CBqAq`2Za)z1~33 zpoUTZq+bWh44@+DBz)*VqMF>Lr~`?Z&cp_BjDX$i{x4ay%W``~mW!2@%1{Y=2jxj* zcd2Y;Wo2Aq;;ROt}g`ss#!h8-z4Qe{-+ zn9sH2;zT;$z?ke?u6Z~WJ7AI&ESE?}1%!E!8Y{1t1;GO~+RVro?H(?Dzd*|6o{oL+ zDSscIF2{?SD@0{V#2;7p{4QI~NPQ>-1LpPXypM+4q_N!$%%C^Y)BPD~9W=zs)Jwkl zJ^rIbT_7;_p$hm^9=xeZ_Cp=(U>ZO3Y(K1zMh#FELfnCgRWr`G1PQaLLX>EAU(^pD zG^%S%CAa5)n=nL_4jM##y@N{_B|_L%EYU2nwJbX8`a%uP8(^_Ppj;qglA{ClqjzAy z95g}r-T#t;l7j@AJrDm5tHCKs9N*!R7pM7Jvz8|w5R6b`gZF#?jW_;$YcjdLT`8)J z=lEQSifM(G9UFn94lEp8Fkk+p$~WN}AQ*>|j)^hOi z$pC$xi;FAo+qY<-P*n&`4>1VdoWQkv!*z7<;HP9Mh7*TkCf>RpF(@1`Fn%wf;o&Kz zm?JQTw6@|slM|xntI}gu>a8mLySt-${h9y>2GIVU&1_{jSiD!<+&EZRSh7k=eE>K) z?u-yw+1f&-CyC4vhTi)>zv6gCV`7S(s*x~d+x{-)H_>CC4G-lz)m&cIh0j^$!l;+1 zDYMZTq04L+=!L#yH)siP=(s}!5&#@zx>Ob1Si;`ta#S+lIfL&kS2PbH-xLA8CvrfVDMZBqqYZeV&XpEO~Ldof?3eXhwt{ z93B_&N@YESM0?E?V<5D?yCGYBzRIXTsI`>4rv z&xJJY&=;4tTPVTzM@IoQ90$uY1xVu^!pG15c(2a6cvuY6TtCU38W_y;6BL{$Bqs-p ze?|nICY_8LDk7AG2SY>nO1Ti^z2&euH&rfX|O|4%tUNy|-D>!_OsuM^Dv?=+4gahy42sjg%Y8U{dU_Cia1cJ^f{2v= z?FDdHi2@RAa4g=-mkf-njCZon9dt67UZ9Jbm%O;Kdw)pzqT=JshV76$Z z&Hn-BODLR-Oh76@yAgE|#Dc}k6Xx;0o{1R!3iRRNPESvvRT8SmLB!gu=F@o((87OMg-nM3QJFw-dR)53~FOF4uolh%Lkmi-LmvIDsm?E9<_aA*#5TE(DVz2C8N6 zPZk9&lrq8NafphF+Wl!j`5A)o6DWd3hv42Lf$mz`8v@iB0)^4}7AN!Y`|{Q`4oMj^ zYR5~4(@Vx+#P;^U=f_yC7u5zZe;N}BIDLKfY-W?lB)QzK?{;}=b&ZYFZhB07P(f>c z&_6fG*2)SwUiJ%!LD^=|!BTJ-u6PrKssj)Vz+2jO?SX+XKpkXyc&L0b-KKv{5Eho_ zXd)ii)_i$2mlQ}y{tk~%uQ4H9NA8ArXGd(cV=JGN@F1eST^MM>FmXsbM@La`NH0u4 zM*xHfG!uc=N0(MPqBz0`XiNZcwWhH#S>GQtVCEMWwQuiqAAb)2uD9$u+uZt;EvihL zUsqoyUf9T+{E1kYc)k{n-#tbO5QoTSu8HZwCxhd~`X>YQtAXFYF~Ft-gC--Wgd9#A zQa<;`%|NwA8gL4Wj_z~le53;aL0kpq;`$nDRw!Ekd3);tZDB%NHZ6|%amAeQg?Rx& zRi}=W%xLosDC3h~dE8^*V#wf#d8x(g>f!pMsFYb)qWXXSX-=IHvKxo&O@;P%6GoMH z0m#egb!laN@Q}o)9+#aR4g4G8ptOS~H-?X|FG7r6|5iputGN9|QFs9;XJhJzbCHu>{?YpuL#%sTCs4 z*k*^awZHz)L*5GCzfUhJP+JACi2v*hwjo>TP%<|&<3!Qz^aCn}LbRm@nH#WYKnR7s zcz}OFz0m@#Di@xE@T@B8zR4ye=r z7Cb)vjZ%7!rz#Dwc>kUfWCGBWk_LSOm4d;%KA@_@18g5J^%m}JOk5Zq+sF@V99rWB zD=LzUx&|67G?aWrNpElY$k=cyPC=ivHV(vsay8dh%*>}(k}5Di{GUZco*!HwUH;FH z^vz0P;~T&rP~*W24mNlROl7CGufN-pYG>HMP{_3mz(=Y%D4W5M!iZgZo{r88G}po+B47uc9NpadL4ccl{8*(X zn8Kn93%(wt)vn1&wW8gsVL+CNP_hJG;fcq&7WHo578MOMKh!*+^vvyVKbV^GLKcKMb z;i=d|BZWaf=-&yV#)pssqbh@MdFwAL=up zrl)@kQ1{#Mdu<8|3MfMXj)j1|$6hkfi32s(^!jMw_Wq<(^Fw5EGTyy7L;So>`PZ|* z*>>49iyZ8+OoN%}6H@ObCA+!DFE1SrXIX)xX84;wQ1JAc?7{&Ub*9jt zaAp9HDFw_wKi+iUtfo| z4nTD?%HRD9tQX<#Y>>6>?V`&c8RhR3(Sy-Nw|G{+OH$9)m#{>h-nk5`j10rdL{Y{v zGoyK2g#2@td&9_mX2yXG4t>5-DG%~WeEP0u6oshKA5#s$-Jor@I*VUSmrF-%G6J}` zDkO=gr?DsZ*R0159}o+R;`0n!#PWNZ9jtR}&8-zH9kH2y@xA9Dq^0r@#DffujPz~} z!~!Y@;!S5Gpzv#{I;pmyoI*j|`c#R<;`0zrd9mpSnf#wgxF%f?lYVrjEkQ4y)0z=GWYp@>*x^4;In6HAVNp*xD1mBNl&-% zk1nEJTZehLXP*%`S|mt&lT63-d_ytATd7{MVfTTf99CCXmypNmCDc75NrEjZb$(NV zoc0FfD`2?8oSmHoR-S~Ve;6cuYoJ}4yELta1r*Nf?qkvcad3qA`1l;%-QNO}O@#%m zZ*7`HNGcoSlb*djb{Rfvse*GN9S`00DOHWrD+`K0f0$N3AQmvyT1`;HBO#fCDz&%L zF4*dJ90B^9KbMwB0X3HfUc_|$s#3wAkeBv$b~XObPiC~LRmPn$RFWZpnN=+fXiZ}@ z)z?dc%mg|NFk%@9cRRmHAOS$B?KR_6Q&R)Jwl}VO0YFK`V-_<=mQyZ?TTi5?bx187 z_D2>JG+7gqAC*-qireV$T5ypn@C0Be>5x(>;I7--JUwrG>-i~?9RMP3zb*)O-k znD@tdg!gqlJ!&Ye^vlp0-Q9s?7KI5#a^Gax(+?7%-mvlM>0Y4p)w-V;bswqI1{pDd z)8|*&7ao1CzV+ZRf8xA3o42UE~V5&;fe~27r8*f0s!BrP3&i zmgu_ZYP1zI$@9^S?!jfl1pbh&o!{s8#6+rY>jcJwy>c|L|89_GD`DJ@6Eu@87edhc zLpgbPl0Mjz5EDz#V6TI(oILLD?+3c%%VD8p>e2wEEPgDgq*ttzd3t+hF68$>2m=EH zeRP0#@kETo#2^L+25TD|)EEdU$)J(vdN5r!eM~0k*8AOMw{UEEY3cN6fjih)e7eFpj?LP&K5+!Y22rZm=|Jei^`kB4>OV>eJFy6 zM#4pC@$>&nw0Iiu8zii=DP>VACMHy&v7bXjP-&Q{8TtW-bJcHwNX}t5&+*+Jn8muG z21j6l-EReI;rzlv*}VMBOB~7eA9eMjZMlU++s6L!yEDz~yam&9C3>OES}JL$d#ZPQ z44^Ia@V_;k6_x)_O(*FWjLKX1-x5&~5kUa7H{fr8270aUy&J!v;Lo|ao5Y9%rVKe8 z;NJt)9|-vbP~#;a4KNTOMfU*C4d_`Q`1Nyk79XfZx4>&Q0bDXbP^(|!)8g~UVKO&p zp)?M=kp#)pIrJOr>5Mim7b#Czf8F&loRF~f5i>)WRFnlF7hwd{MVtNg@e31jO0bR$ zonl%5FucM-Km#}g1`crz@E4utk7R!T_UV)VnAzG!0#0ZSN-R{^1}Dtv>Ohl_nAi-w z(&Bs1XSb@XHVK4l9UYxy?CK*slQHsg8e^@q4bNfXk&z?|q8B8Hd;9T7d_Me|nVlZ- zQmpLCd@Fq>9K$i7^I!ZfJA&l(M`U~XB8mSy=mItssH6h5bN~@=zTPr+_&EMOp^UUN z6{sj6ueJbu_VDmvq86N~T2!dAvv%*auExk@NBUM`rjC}@5v&4(YEUtqi3Ng(r|QIt zLr4DA2%I?w?$7yoLa^(hz&)VXU=;|J-a#V4|HIOab*ZMNq5`qEw}*&XSuu3{J79(+ zSri<2n#?2*#0Dy52547{wB_oskX#IpBxz*!vB zdO26EzU>LT0)#+3K}JF84#RqN3OwOZ3lr3a3(9LDZBhBFAUY==>q&TM4CadXz9c4Q z$`$}c$0aQzLu>ClZIPBtEICHZ=CFa61$Zl-b;|IXCnYs3@{1>r!5YV=_4S`(&RlsF zXs-LP50^NedeufSwsUGuEAg)w8wjz)$^XPrbuIt6^h#kGGf9g5xZIi#*cDXa0bBPO zct4L8n=yg@8VW#De+*e9P~xEal|*Ja7rfF&i^mx?B0AxJ9Ry$s1@AZ-42y|* zDh%(TAPK__mjciL?8X1W^#iJ!{{pvn;Ra&inm_vb7|YcUJ^08c&yD8^7$P8C{>zsv zBgGZlw4{Hh(h~yI+XhD78u-${qIj(6ddB<($medz>FK(p-9jA#Fn~%(NWcP5&Kvi? zQ7AZcCcR-;+i!~B&^jTnyerDfgIHTzmugm|xGsYb$*Zo$yy#KN$K5hFhPo0VVtNVE z=MUzx*V@`E?FDy+6q%n{?=&4rAG6btvjpF+OgC8b%r?5Q)>vWD+QK6Y8D-|YbLoM2 zEoTXAeK+ht=NHr-xi{k|=QgV)gv!-`L^}ahDol#ny77gyDm@I24|y6m#aSLODnk$D zUnL6v_GsYeh$3D8Wo@Uy6$E+L2Z`Ik*Z2faz!758;!VKs`~|*@Cr9`ddxg7$ zSb}SMicB)_lzo*y7h=!+W$^(~F0>mDZ9xyi{;9NMqQwC3GqDh)lQd?FhB|9})x?dO`Zg*7i(XhPKY42q) z%FRhhPaF2gNWf6yej^svIZpE7EP_l_oTm#q;^x%g*w_HLVJt$zFi?mnfs-A$j(UOX z1!{6?uv<{G!qJomsu+kT#s<*=Cw}KGSp?kzpYw~M!&dKRyL&-_iG)<7ED?;B7Dyxk z+|EuwyKvE{x3{|aaL?w?4z%Kt#pSjKT zryEn;2*ks$y?GQZV!Q#i4NoZGhnU#gN9X$eLjexlin>M}ynH>hv=&*V0$?5P20hF_ z%NmAq?}{B)?>|hUa+|^9?PQB&_cuYXIV~+s)+Nr%=@j!&ej6E`S8KkCw&a)&0f-8^ z)&Rh1SCH&S$ZW$F%g+A=N;#gDoKtxZ=H{6>)7Q*I^`=L((0d@#1#bF&VuvJg0jAsT zr=%MyjR4$547t!IG63aL+pt>6wy3B|@3%rTmGO%lxrY~<%Sbg`8x*@jUKGWds49;P zg%2y&jz|Fe0SyyD4LIJKxpl*@@Zl`SU{6W{l8EAw2Y(lR*Q3U=z;EZtHE1a}{M?L;}hd!gQXgIkQc=>x`ZEWuCmPdWfzp@*m-XY^v> z;(h^at^3z6G|)^0Z812p?IMuF$J@Q#seV^nzW<#Ajk9o4m1lgDd^` zFUgnRlS|mRHi%f&%LCGAs}5rfbt0i7Gnx4L`OP<2<3Q&-0Hju!Yqnp+2PV`7*_G^_g2k!;uHB?FC>wcJW-r|542+l2%sONa)l&6e!> zbbm~d+z1-MaLiCITH&dHz$J{O0YWDp|@Sul{B~B;>q{P579z zut4EZsD%|KMe`n5lY-^(B_$VDWn_5j+Z?^^WRf?)K!?r`H&!t05SNgkR(T7Q1&@c@ zTCv%(7eEwTTqKz)QBDoP+}zxB+MlEatur&zb^Rw)iDjno)fREQm0uZj>}8f#A7AL` ztAFjs6jdqrjV0$nyxz^F3AxyrutkkbYvKc<`=z^|hya2O<`|sAs@f4RZ{ux3HfuvL zh0G+jAoswgi5cuOjEdwJHj12-o)E<%w0SWY9zka2}k6ho{f`_Ahz$sH#Z^Ben5o47f zo)rGhfqhb;|2of5P?u+ao>P9<<0(rb^zYvW5%yTU0=or?A*yY=9VT=$PEQSX#{WEkhcb@z5f=5mEOSZwm^XZV#(fJ7u}GyW^wo@SY}sRIa7f zprb$47Gb0J*v4gIVG&H~=7J~&!L$QXvc-x!Fw1O<#J*XUPLk5Xukmi)aB1r`YhAfK zMyoVLTk2F^nFW4GY9cT_a+zu1it zA@hVJuSTZo&%@^j*7)<@kzsS&+GYp=DA%Al69Uvb=o}6hG8-=qNHPH~%<>0p&1vpd zfO7!O0OTGOatqic6@Dbt>|6S$L0(diIQT3f0oR*sOueDR-yfTUn>)|NQcu){?sN-9 zNyW`E&eQByiYmJ*PWn>m=PU0rGe=t*xzfe|G%zsc*VW zUA5Ei5j(i@je(@5U-}!jqqNHtK$fAlW>6AK&qSD+fPoxL%fzATeR@S3EH98;f+wH- zrYnw$$GyTxxO@_bco!X)mjR+rd3$ly)r!49j*kIYLEfL)f?iPHsAhWpCsVYr`$^Bq zxy6Xp6e91ZPqlj+(qBBizW%yC-fMPe|0^$_TgnVTM5>!@kR=+cNkuflmBMAQM!$HleV8Dk{IbqRIN#%Wz zv#CeUN1sp(xGKW}j*YL69pUJfrMp(K~^A1LDZT+vlmQT*%0k(|wWLX=`PQd31Og{+h|A3?(O)PGdy>Hmyb}kP>)8XtBP<{x(%Z;^7@? zoS7;Z>U;C14wX2Vf|r*HJDfvplICh(y*z8_8wsgr4k9TU>U&K=8ijW;mBVkf@P*kK zR63)&vPdbJBJcwc&B#at#zYF_A`Y(oG@?pMO2+9l^x*Mo07W)mYH`x3HADE*WRC_3 z3k&PY5^&+L8mFXEQfE|E?dtyQYOj{`E}KEALmUq1FxVwekNb$iEKv#EG&8N0m4oWG zvr!4JnS4;?#9=VnmVdmpIGI^5{<6tH)jgj^POGqPL-6lkUERCw^>(C?*l1PR9SK}N za`JceW4S{4Ee=22rqh(Tb`OvBBSf`##{Tu8>5b-=gwN#q$|&uyu%xAN;sOSz-{~g| zd>qk$OUN@%*xJ~b0T2Y7_eF8VWlc`#mkTD1|z?H!E$ z;v|9p5uxMWON@{BRfFhpbHG^3n!xl5gsId=ylEm)1%=*`;fQcuM%P4- z^CBQ(0VNld1vqzi_sf&jPI=c%_HcR5cmZ&ZVkty{ug7Y>CVweS$MY^pV;oFJnt(Y3 zsKP9|5QFJ-$3?5c5FsnIqV*XOm;B-0fp{!KSl>^Sf`XDVfR1)?F)_8IdNz%CU9`(e}U!ZUI4;Xsq7L5$^s>BWKJ_hrkax1W?Br`cfRmR4%b_b zIRZ+GDkw6h?olo4W|wYMQig&~@q))r_M)v=xy0W8iE&XmA*$Ay*0A6O1zo<)1T4Q- zQm+DI&fMW#*YP5aL0MU@M~(8A%{>WAQ}M_mTFnHNW|Zc+D%IJQII68|#Wb-)NeS7S zo!OsV1UZSI%CB;slcveyHcT_`emDkp z{QB^_bc06$(hc-c;AGeKd49Y(Jv$3rxNmg;PCe*x0G=nPRUN8G0LK7y$OGEb2J<&) zcHhsj47#v!aB4p;zmbxb4&3Aihu(BJiLq3@Bxbx=6Ilo|O8`zvD(R6oVJGq5zb&Qo zwDISg=`vStVRyFW08CQZ=R;y*4Pto(wD~3sp!@a?kH(OTS|>Pb;Rho*tZMnBG;&Q$ zGH*{u}gT!YKOQ!_ubwxe4IY2Rl0~7GWz3k9R4f|@~uJal0 z=`OU+<>4V|iVFbs6h;Or;p~oG%dx$)J~Ul#LQN_nZnPK0HIlzlaGgtw%kBWjk^*hl z2$Te%!~)0+9XE!0si3V`(ChxY+8O&936l#(oiCN$SO#EU=zxv2aSa$)d;p$EewQ7^ z@b;c*qT00nA5V8BN7X~W3Lfk0N-LAniI({>Nn|9cjf`Ahb(p|l1V5a9u1pM(DkbJi zY8E#=OZbB9u$1>Qznt9!qN!YMoQsWL`Hj*08&^p}YDjT0%SRFl<&(K|MbZE51whFA zq?D;9zaNa|`c|!F*dz1>F3!jKxQ;a{$-(1~GxBsx34&x6W+q~rY9M!vp`i{6Mn)D) zFO(>2YWFL!6#uAw8@qQi-X?H*w>!huONftuEzWrWrd)SMvzdMW?(BrrZxdChz=7WS z|Dzk!C(D9w4yKua4C)pfD_)im1dF;2%tN=f0xw#;lFO|PzDrCb5pi2()^a{(=PJ8& zLej&MX*5s`FY4mCoc&f1>69yyB=g3T z%Tw*@P(AClNXM;**6yh51Uc829ntA3R>86DUtRI9c(~iuOCo%YiHYl4!^qx@W8UAn zVAs#<)EVO8SaEY%o!*>u?icS|j4|F75MPRIdXi(33o(4U2fMfR@3Xa)6&UkZ#w#u( z6-PJ%Hb5}lpQ+IX5d%YtV942Op{^((g)#NPXRQlHepnq>U*BYw#pKC{c&fRfkW0O| zxUQBB4o(+#V56^Lbl|O9v^sK5N#uAm2`-aHQL}}q_{Ha=yM*>1EiDBcFYXIEI>xm(X)^!cmAT{zJ$vjI7P=68&8Ymoz6s|8++YIzX13i}V_`=Zm!H7$JW;Gfg3g@a z+iE#RZZ}^8=*VS!Rb*7um+Znwdpyu;<^Hd^#X?F(wmm!0-!IQ?JDt5`u;%{^H#|k! zC=SO2S5zRmdDqmG^qSL~&v286=e?;!cv!ep*O;jKd-?nWsk^(b&gX=RoAaWL{uCr7 zC9lMo7@ogo?+Y_7v~Wr3UA&*~LZwQ5y(8}F=q9tnDwu;&s}131EA!F*_J&{HT<-JW zw2Q-K%z%ywnL>h7y%(>ivCGc5C78m?p86FjUx7?zB0Vulz5dCOQr!P4g05 z&SiSiqo+3+r(C!?jTNVD7R%`O58dF!K^BoKeyp`{-yp^7xcv`-DzovE6 z(N!fmYWEJrV`d1K#Lnk@9V0a&i?qsq2@Zf-&g+)=; zg&7xc#j!C=V1EUC0BA}`V;4Y7gpSwM+AVNVDc!&4;%1z_*$CdKwx0+pe!wNKF4s@R zm-8I_N`3txpqXOaMtHkJ@@Mz+LI@y3*$17^S`TT#QVm(z)&>g85}&bq&2;e<<=n4e zU}#Koax_f1L~~cz2PSsy-%I7Xo1$Zs9quWMP9UrdhV8i7FG!SKBuFF&GcqC=k&VyL zQdzHLO%Q9e@R5HuD-l$$;O1*Tf0c=tY~=-#e9>Fskr69Gggo54KsZL&Mh{M<)w7$_V|~Ro zkDT)M(9kJ9)kp;yq!Lkq-W7 zbq#OBLebN6(0*B$5a{iK<%tQ2E-3rxw`2r99Pc3BS<%4usWIQ}tTo-{i0KTEp=l%OQ?LsSd_JF67r6m#a zy4SDil@*P1i(h~~EY$!K=H45f%JMcHMUtOCf9+zY;9+18dt0q!kq5I46|&H*_mncA zu4juVt@MuPyWWh~P#Joxw&kCdCag3!^3n>}t+4p7``o9{QN4CxyC?_f6plGd<~av+ zsFDs@H4Zpmva;%y`)T3(j=KL~#di%8|u8{Q{0Na25MbbU4YMIKYL)t&_4v!&A!Fn$#zsxw5*!;I2Ch!GbU(P<^Xz&xHH-J4a|?zz`hpP9 z^2&DH4^LL&J(72yD=n3E`#hvMc#^gyA$8~hRNu#14h*9;nIIaOJo@rwYbz0$f-6G`B=)n(HleG3Qb zYGT0l&ZP4_pVG+Tba?O3a(4eWMD#o`{j29_vKucg@hP9*ViRmWtqi5>*v>9 z$P8gjfdCCi|M{M~FT!;tf}F<^UfA4`Fd&F0n{N%q^E++8 zgU%>jAyKZB9x<(Yo8PzjLn-RkQO2SWCqEHGou5CM`!^@&O3<7uv^2t04H+5YZXzJ9 z1QLv}_+BBMxF8Hui7D5fB$p-I8&er(8>LgI3QB|45S3N^BHut_8;*c3JJ3M%sva^w|;D^9w~sQ z)7yu6aeBXzj*_|}ox_lUA@%O&rj0bM1lhfWVnb8UXHf)XXZza*bWvMdOM3fy9P)uh z{+r~CZud4O{Ee?yM{Q3JWf%A#ot^L#?k^jxPr@v$Va2vl+i>7_lbVwy=S5Hw!^le# zBndEMkAfy$0ZewZuU+dzs>$G8XApf_yRVed`?3YMoSm3zALKsJ?w|Q!Hgomav(*zR znc|=I&k~c(ZW1&LAmkVX>VU=agUcN)6k8xc{sl~Vc5&vtAnRLai6##dOt91s%w8Gf zKjdV{doVntbaB4A-hAkRWmS4xAWA)JDA)Arzq?zj@l1-DBKnsNO?+6wm;EpYIZqNw zX6zkq-RdS!39`tR`}{1)$m8QY40jxXmy>(IF-ynF8V}?kZh3iD&@FfLshOdnoz zK6HXD6mbO;J}5m&sq-;(m@2ctVoR&Fb@Rm~1O;{J81jTnTO<;bbzyp?mB@y@;3+^I zLG}fPu2ml60+3dlYD>~zlE%Q=-b&irede!j&XiO9M}muM>4ozFmwy1i#+Syrr6@xOPq$4*a6`g@)WOJVDrv@-2{cXqlzff3+S{Tn$y=r*6$xNCi z@ly!5G5oEkmKoXD%UlMW&2KtAwAbJEnuy_M_}aeLMEU*x?e4Aia|Zowd@#{9_QpGv zjf5vIJ#5f2E~r<$=k_d{XTMpDkPwU#sp;qF)VZ&C+x#;BBG42Bk}><~TKCHOdQDwY zD-8(wK?j=|y_;C6F|7LH^Y4wHpMb$2Rl9(KN7yzid+kVoiIIU3%k^h{TrmB`3-Ig_ zfF!MK=eLD9fmewX$lVZsnR^5qP+>YI3X6;Nt_QY+>a{a3ovS!^v6tTtYWncq<$>Pw zqLPxw#JNh@ZPDu&?4HT5P1o@kRJh6A^A;JW^AAiLZ~MLXO8!v^-*i_;^vuZ<*4?gK zlZiwd)SN{ts1DFRDk(`l3?Aax?R+lESevhIZOtO2G)D?vXzm-2|9W8vb==D{B>7K^ z`x6Hbw~alsOp8nIW|3hgV(RdLD9Ew1wJO+4`zQN*@;XgL%9}b?PCg+%b!w0`xa7zBV@Nx@Dc= zJ6WdX#J4e-LcFqW?I)p?CgMlRtmXuxtb2#sm_|h~T3NqovMwmoYdNX+;-^$ru=zDM z|BNQyy?<+vU3bs@yLEGMS_yMRh&@6^f+ojH5cq>AV-9SUBTKXSD8s&RfDM4A?Hn^R zDU1rD?ZDgU19B2lKr?*=MfIzL|ncO_KGt51ndwMKeGmG3#yj`m=MT;RYrLuA(+t!_D5D*cnR&G(=b|oTkxx(i9 zPI+=1Bl&w!e&|Hvci8Mo*!Iai{8n<&rf|5R{TVeh*X!N>hQ6)D(M%XNYU=GdN^| zyZIM;&kHnCkrzy*EHuX@wl#-*_7DCp*UZ_=>eKYnpRytrf?d79;JaM4mt@vQ`07+PmF-O=K;!HI3DlO`Pi4CPCplHQ=pBnF7CPs| z#Hrr2-=}P_NdzS}YziuuQn;?%W&C?wmfIQP=&r*&?GZnjEk8!>adP)8HtoIqz&md4 z1ob9*>`x5T5XTN)Uo~|Yf`e;wTwG8a%x|unYArM=^k(_{oEspVr zY;GCURQ@}CRG-|lT9ci{r+#y}zc^q_myC?8GU`-(=}f>9P>Y87Ny6q=pSAo~Bv+O0Ys-+vUAY8#Og7Zf<1vaSx3aU! z5dDc2hSmqMfdX#9VzmJ(qLQ!8VqbB(WM1pt;SGy`4XOKpXpMwKt{q zW1jb3K&(h&FA9|k=_T`rLS8YCRF(x^g5Y^xp4B1M_Nk089-B0H;&4*K4* zSjBtYm}YfiT1M2l099OGi=ZH*@8*l00)1y==-wn!(wBHYh^f05G>mhXwhVHwIuT7# zZGFRLGFV(2F1ffol=~E#cas7~b$sk{V}A&(JmccrLPf=sGZh7_ z%R%TPJh?tjPlWy=5*&o{v&B&PE-Nc778UPy`}E&mL(I~7CT&z1NG}5XyuG2BpBnI` zg44x%rb%btE;r0ty6A*{a2yC!6yTh6nfwL1F9OAd2EJr%dyqasMUfxPBEFL8>bs5@ zP~OZ;+KWpT=%baD8@Z1E-2A@L4Z{n+^ug>knKIRlm&d81M!9p$mb|)pI!#hr1;yQ0 zUcda87gsHDeD2k&)vlni-nfyEP=H9Yshg(UK?Pq`yo|wnA2`a=9yt3sgh6HMd6`9u z?-LeOM=_(wa8IiCY8!5nyyn;X)(Aqh)GddXy4V|aWR?xj)Dq5}t3CVv9$k>~OpP&~ z(JsiNc>Z>Ot}-X|l41b3a_z);FJgqgV3XK9mrv-`*h#I_*=g9DH~fwxSkvbCbf!^? z1j0?9-d;C@e+#GqC9O*Zq-}J+c|>fvUvP&?VWeb;@$lR(Il2^{{M`eUF@5JfTF60@ zZ;uwCBMFCJ^IwdtuJiK?m-a+&y*|ICOV4;ZY}AN9Qx*A4f}X3DoN=|LxtYIj_%WZL zU^~PU5Cg`8yetpP!t4n&JnXI|$wLs0%z>~IqNOazI4?x0z`*`5P^b#PM3pXko12?{ zVQ{q*UgX5DsA>5pK?hd5ldrWD_Y-tlWur(M8MeP+8-ntUl7UR`Z+Y?q`P|jFdwaMJ$z)`XMXxZVOFpW`x!IqW zVd*bb>41Ng9S5DR;Ku{92xm{fBeC-`himE&08^OL+xWa5>A1pHf`9{Yl6InEVz_yE z3Dy47)&NuS&g%|7Nd<+b-bF*@GkOFH1zJl0Wm+%QAueB-Jq8DikJWN5{Lnc2hKKJ? zc`_~i{ot^R6Rj{?b8~!0wt!*(_vByta}oL1Zw|U00EKFaGkXlL$;>n)Vsa zzD_*f7NDo#yf)wJ(x=_6m0;8nk|y*LZ!1K=4ksxoDIBtQKF*(0HN?CXNH>-@3w{nI(zt7=)w6(=}exA+v6S1cZg4Bi|x>YROiPAc9n zpwNF2oSg;NJ7nQm`S!saP=S_I*ybq zUBnJ7nl(UO98Vl${DtSnUiO+oHU#Yw_1*!Wh8Zi-_NF9HYH%>SN5P`1e|<$uvL}_^ zjG^cWrLY^P^0kEg_%Y08+jF?#ZI0sNQol!}$Dwx%Q^ko!ieTbP8UvxJP0c##AO7XI8sd<~ zRfvw;;i6?0=Tvl9aI$5&N_wvw_cwSlHZL!sE(a`VG)gilr2iG;4AXwu>GgH}uVpTt zuyw7<`m7a(nfX5$FDM}~6)Qh}w3?F_@41f_aVaXYgJr4%#5f3;0})dp%0}Q&?!e^C z2^7d7@>I*Dva-X0K|i#=D>85@acHuZ<>Ur$$MJ zF?;^jhGA>G>~iy&B9tOe{(d4gd!IbEUIRSt% z+5`?J+0)bCxutfxGTy^a-6w=-B|JT?Co>gaR8tk?uTnWIXvEbCSieY1#o-Lqxc#@x zVy(-Tzv^Quzlew?AR-Xp8W^|j0gln@T8`xIFwffo%em9%e3bPTSO!iIWFbHZDYys} z6cx{bHCjvk@|l$X_H41fGfG*`)@V#>;^UFeu;Msv=s>ke``b>jSNF7~SlTH~c{0C8>Q%2Z8i zp2JP81v3-1v-%>#%ln*CkEfe{el4~pzW3XJ_9xLb6p9cSlAyGEgLx_HL}1gTZA@%? zcAlO6;Y0iYw=FyQP9A&8OHo08BwSoP1?)b4#C#G|&Q&-W%pUa;d;Yw(v#@(mQcCM- zDVyTo?dTZzt>So6P9cZ30*zVnX*uN7#e<)infIJ_4~oh=tEy5zjTBK9eziawMIVh} zdAxrw8|$8~evY|15u$SYwz&7~2TCA2fNohu0MqvIqiS)eQqT?#f(3x-A+C{$wxuQ0 z=H}*}xU;5(_1mK9&R0BS!XENI?*gADSicV_n7xVLGVe~K!v=4uG}=@qyR}t!AP@$* zoS5>3@p|Fl{eZRIy-#}c$98m}5(zSL_`3J>L6UZKv@tDUGRM?6{)WoMl0iTDWyrs< z5XwBGg1Uh5Ef~6TdWFdCtmL9)%p1gA@D~6q(EfW!nHnI)2!f=0)=C3#ABeCR7qxhe z^3OuN=x{!Y9Kr1(t^jDWi#vDIzNBj${YRHHD;xCbj05TbabpuOm=m~NTk}`GdOJ1GB7?mXFlj^ za?~(2ZNiOue|Jxo@3E_CoSoy9E2&xH!4l`GE?*kCdvHLn`K{%~lIHLm)@a#<#j>yu z+1a=Ec*@kTWywB-Ff#{Ad?slRG-fhW$~^+;#pX4!CXWE&%mKO_#F=(E_kIM}J9xmc zw$zJp0}LG0o>ee83S}oMptiBq`PA0dJ*aivd$w~NdYPkd-OCBa<8;WsL=vYy%EN9e z9I{QN=#<|mSU+Mp-g49EN|f4=K*u;(G4GE6fy+`LuUD+Ln)~umZ=EYlA3g2$o*O;% z^A$7DA}1@Ed=C6zKDu8kxogB@`GnCjQg001aGDNh?tu^orKw4T6h~TVIqGU^Nzb1b z{R)GyZv5t{)D8Q_1k?R)Wt8t z*U`yIL{U9tmMFs5w4w*5qN4UYedm)n6xA{U8XBgl+de0=T_&O&DG7*}5tk{>xN(ij zN?I`}k9MTYfdpL~yWe}JtIu5R$%KUYgHiKu7->|P0R>a)C3p8$C0E;J82d*6 z|McU;M7^d=FsK}CCTky2hl5rcctiP}EE2Gkq8>e3eD$G8micV7(5_1I57voI5l6q=&y_x>iMOK_y-ocq}etv{-l0wscLZS zI%FT5T^Tx%Gd|Jj8)u*+^ri3&MCYv&4h+_ie@TVAO zM^V?WZ*IDIm3$zvaM4VB<-71oN6ItgU#K;H-;jliWJbp4qqklK`<1OK04bE&n z&!A*N(^V1)w9PO8*L8geLm=#E>@$m};IjbnmM|hCz9lg99QVh{%0*Cj!U$q4s3if{ z*Z);zQ~5Fp^dy~^#w|9qVz03~R^t_s4qkI%n&QJ{m|eF#LC_X&ea_ZK_xYBWYlBYv zL~B2QtA9$h&P|n+l3nhM+0FnH^0K5qnZe6pZ3{VPB6Bc#M#5TgV}E+tV36K63@L8kjC_FKI3uR+z-wQzlTXkV&y+2an+hTs-=%n+yXuXA|A$>Tj)^J z&oHU^mtLDs;Z=Q5aAQ$wORw5lf{gL*y7T?fJ01E$ywO>xkbOMJ6BLKU^w08NCnQuo z<#@AOYb_~8=<4dMLc?_QY4+++D}{!$GY{-pxJD#Zmwr(H%sNw0p2>Jg%SC(Z?5L*B<6Z8%sbe?bXscCfYxMbuJ9>lrSH@f{22BeSO2x0w@sa19xf%q837dt=pai2cjAYluVA$4+Um;%f!abgmaG2^0B&X zI3f{#1=wfL7s7Ehzuz1B(XwCt49{P-fpU9Fd2#9{HZr!e)=Mu?QOGWVNXWL4o|l)` z5}1P@{w%YC6?Xw+VW;Zgz-3};di!wO_Q%rFJdom%VLNQsuP4HQCmQoq`7aY_q(9}U zMh-&{4_U)2{?eJQ3B<8cy|(_?9wFhv!PS!k_icYWLos*Un!fjmgDu_>qs@Z80po3k z6a5Lt0nG=Q4sY_93Vwhy5K=+5nUD?PCg|HEnj>JNAj~!YvN2*|xL<(AhKkD!9331S zOuypA0<`F81khHPX4eLjDTHGS%AEV4GwnA05-MKwq)s~4YO;L#C;09j$A0#<9cWE| z9p0l${+T~i@<+$v{H8v~BNkyo*{irtT_cQ&|@==+1nn+frZH(pid*MHBfsp)yAAgEW- zUh1iTmr~!(pL!%tLRQWsv`UlZmBTz|`s3SIpmY0q#2)dy~wP-&L>z zQ$fQ-yKqEcKsbY_?aq*KjK2-rc&NLsDsDiE7`OgiA|j(1)X4$M*kWdevDai07rcL; zeb0^qgzTD_0N93f91)Oz;7l-a0juxi22p$p-A*SfdZUoCktv-OCnfu#PGNXO1<~08 z8@oZZNw&BUY((t?FPu%y|7U|M=vCLZl!P$P{MuT2z{hj~do3D>z3p&50Wd2*!J7OG zTic-St?u*}Da84Y9`(qNzIYuz^~G&Y@oT;C&TilSWK^2CHB`NTQN6y@02sT8cW)Z^ ztzrLFyLC%wd!{)aae8*doo5nvBw%s3{npLI$|zzJo|a~TSpnuP;;)gFmmj5@nNe}( zsdOUV$CFakH*XzNlQ$l)0|f_qBkKD4{Z4Pw zw0VL6cCq0s)IWL?y30Wjt*YuqLd*cX19y@U*k%K+{OgxYO{l*~?Yo|et9kuxdMcx% zOXIu7g`-)3Q^3u1=BJ>TJCnzxN$tkMk*dwZCo>|)StJKQw;)(+NKybRaUOv#laRCm zO(O>CwU@w&8=vJNDD3-p6&i}#*J&M>dMqC1FL`p@1&erZF zKZIBWFcsk8e1xVNM9tah+0|{T1WrTlBCneM5RLY8Vp#gs?=Kp&cS9K4#WWLbM7m&8 zLC}L{3o&wErtu0iabsguJUqTr?(h$b5%hNwG0CMiQcF^_r;|uz=u7?rXR#*sz~BYm zuU}8Mj%;SdLvioix%g|O@elmKgxG}@E%xcaO?%N#AzCYgDjEdw@ZbH5AX`}P`1YMr zk@ktWE$$uvSI(4mZ)BNb99a0EW)FJjy=6razDCCMR@s3m#+VZ{;13?CKUKS^Z_x_h z#FP?4m;hf8*R}l5rv*{}_fPdpwGk-se@7hf#;!U#OH&4P0Q$PN=7qTGkxj|motF_q z(QzQjWC(*N^QCx2vg0gxsS zANcnngxSgO;p<6_Oz*{WsbjDSIt`yCDNN2nudl(E7)Nn@jY5Ccv>1-PlE?8_h`uV0Ln18u@Mh@qNh|C z7lHX}OI*ko0Q24kp5LEMzZ0hy$Ci%}$hpkyeLBb?Vp3A*fKw>u)JXxY7lqqdhH?`y z7=H;wC(BCvhr10hs%7_UU_%i3xM)f)O%07X2m^=(25tmoZUX%Ln>oQm9UUEJO81U- z=9y%D^E6k?SRpdBQUxYhlf-<+2b@RS;NZ0;I2d99!lom5$MM2fM~k0AIK#a2osWQ~ zLpcO-8i?g|Y9!+BBRq&&0P&`SO1%R{8_@s^hn>ICuLa0VZR6u+JUl#)!HpjayPg^N zm1E(Mi=``fmiy0nP1l|S=6xg(*Q<|!4HgZ^9ylw2QH|sr2Zx9q1fR=^55NeDRKEBB zETt`gb8-RvX^voT@_1_cVv(APiUG#DjsSyRfRfS?hAV9|Gj^{ntJE51wYu!SR*`XO zsHsIH^*AGs%df07f>TpKnEsgMFc@xHuzT@XkcGvfRk2? zlq^h4xSb_3U;sx4jT*H}DY4KtvmGDog@pV{(nmqbMk zVfpb93Mnh!fXxUJ78@4@c;6XdnVwf06S0SrXW9UP0uaLw)1K=I@cJ#9y88OcdZR-? zaF7oj+}WB=)3K~!)+&t&x5k1+;)chIr*h?+Ew4_i4;{hCY>5fDO1)%l2;k*uTb{JV( z$3eqf@P>?}q&gr);JwGifm%~dM~5^bA|mzcm+5KqshiL%hiip6^t5?smwv+~1Z0+x z=eLZE3_fTR0WP3!a*Vn7N>{}NF|o?tcaaehVm>npa5xFh!NI|JCw99^#HyMAv55lG zKaoR`3}C8tgVFz~9HIOG>ti&qYOes?3szP7i^;Ga*|1YtU`mvJUKvN=17KN>1Eb?= zlW3Umf-?1$@%kvHMeW+Z$BOUdW!!XlLW=WMXkgP73hWX%2;l$u^XG_UZ|C&)kf$_5hZ4|bNno#d(uF1ecQX6$LX=S)9Iqq* z@VK&p4+2kX>YV_ZXm-g4aZthj1-P4vOCe-%$cGVN<+lDn)$IWAFGT+c1hPa>sFVii z!^Q#mj)&I?pNoqNtY;1IH&+6t68ehnb(}>Gt$3YG2ulY_DTHO?_U)ZGf|dcx(gGac zq6Q5=95Tj4W=SH*=p$-sB;mV7v}>yne0{JLq^G(cmGdPe>Oa5$3|^!oc2Y z!xH*eh^nUvX6bPBlm?vHaT}VC2rCe1K&1g$jYvMG4+KhJcp>;vM6(HF3#GeR>uehU zqXN!iBxF&oz#)Qlf;me@aZE6S0N(=tTdNQEufjMN zakW@pzrOh9?Ti{=aWQ8|y$rXLC43p2bM`(y)PUGPggRSQ_fLOy!SN7nuzMk30*Dg! zfc%3E>^g#Cg9QNZlL~jTJs9Yb{EG8^s8?6W(T)RbV|cN#vA+KP1URtB@}L}tBOGF@ zrSc@;Vrqf@76wv?9o+`bN8{k&sH~|$rv1nPOHfj+-+#T{=Af==%cGVZO%&s>mnbf4 zzqj?35kS&Mu#zYh>0_`&Ly!<)HNCw>5RU?+q>G?yjp3kbA0t5m_xR4?p%#2m>3H>G zt|Aay9#i F{{kYBEI9xG literal 37170 zcmc$GWmHyO6eb2r35cW!h)PI@(xFI+gmi;|G}0lB3eq4Al7e)1gLHQz-QAtDU%#2P z=HL97wPskd5bk~NJ@=e__I~!WpMAaGON!h>dx(aFgmmw%sGtlI(#=;$NH_dY?!aGI zlt@0pkK0xPZ{<+n%L(P97yOQDE~;#WgoKWR_`cCU>2iUD^cd-_;A^?hF&mTiN^&;W z*SpJ6M1;1l1#w?bG&y(migu~V4xAYpF&IYK>l>cZ)0_Q0C@~!{4SP{6Q%S$s-8pGV zFWceFeq1zhU;0S5WdD4=k@~AQ6BEY1iyA?MrQT8ud&_+dCj}vSc|3A=YylMZL@V1H z0x0nRCW)Ir;1A>z0k_qS1&yloE5z{=}zzEdeClUOql^ zjouH0lniG(V>m<1YEGN4POGOp1ww7_=o35^d^=F6FE!<~FM&zQBRb#gZ^c{VaAr3O| z-by<&Duoq7`)YolIcI8j+8_od@~xT8O$nG;!hSPj`tisKHtWNj6@M7i%Ko$lJvAK4!0YFVhZ&}BA@E~2Y zmXB5;3+XXEz5nr)W1uIggO{-X!`)8So{7SDH00#7IkOfUqxpkb%B(Gi2rB~95ZYhr zLQI2xcTC%E1(>|Q%jH>Lp4J;K>yhkPR8rK61BOYe-M)|bo>FJp}wFJ0_AkR2nM;tP;o~dd_t4EqJcd%|L zh65=`Y8BSr`f>K(S#;a6iHSS1lncH5{1!G#rJ!)CZrhFON_6 zd-zvJay0|;8DLtpz%czDzVr#?zluCKu-0%s9O8L%^UrL9=UYk16j*zEzOBW@rjy-y z!_mB7)hSgKK3hCT^MU-@OoS&3AyR}K=8pq;j|hp`O<@d&>mxc$ge#-@Pct%DoKDQy zOh*5#^d))w`!{`Hf>Hl@bYosJTeWm)FkKeo5yy|kj)>*YTQhavHtF5)eLY@(yOXce zg4ygx)Nrsm@b=xid9c9Zz)czXFf6_kH`B=qX4vT&in-k|p3UuVetsBtFbENYwLhM; zi(=75Q_NA*`r~%v$OW;5GE>-BJArnZLr6?+qzx z-uUtJXZxQox86!f=zkS8P0ThcF5{M$*B>Mn zA$H#$!p}AN;3-$y(sxC(-~D64R_Jo+@EwCl+jR;)Z#Y%ODVr);eEkYxyV)wm+S^mr z#~XS|71qz;D@(0B*mAM`#?10^OJ;73gXTz@Y$_&FP*9LurULzl%~DsiXP4f*FJsN0 z>1i@I_;sMh*%6;k>Cg4$^!1G&adF)+Nt=`Ulp)?hPem-(2A>;^T!nXnOWS09t|@$n&npJR2sayr_YG`>DoDm5hmzh2kU;t38i&u&|z=3?*N z`8+c-v-N7f2Uzif5pO%2LGR-n^~z@0?PHa8j2Rg?q@>+Rfqd;&J-i~Pdy6+ltL$09 z3oJ#O)#Q7YL-aU1SZ#o1+*o#8O^#RrCyP{UJdy%_ZDXoBdTl7P&}58-L8Gb_i~r)4 zpy2I<>YnkEPaShjzC_@y6OfbP@4Z)M754jjY^D>faNp;eH9TN6dXp74N8#mG%iYr1 zDlb#O@w|HFc3HJPlB?en$IElE({Qxal9!jqb4{{+cvuX5s}{Y&<#e@f)*ui^!UXGUN;G-c6NRe4DJa8>n`)LxK?Hk(MNuo9LRCl;^PzhYou6nTEzc*t%x zWrB6rCvkz0RiVU0xvHv4^zGaH5ha+S`uh5fmk##!eMN?{wi}~buCW@qrJnH{>!GxY z-K5P(H*ekAT>jLXa6{AOlmg5nhSTc1L^RudVq)Jey^iDar~I1n*vbAyNT?PBQaro2 zVQ9L`-LXX`W5KYZ{fR>8GzwV;t^q?viEVDc8bb3*6Kc9sMrSQE~Ck!W8aFdwL=1jbjF8<{;RTi^@9w4_|J?Pm^90Od3;; zgPT>#`*6e1&`>Tz&O1dS8l2nS*<0*5T}cZ3d@}3F{LmjpRsfsFN&P7k(+>!`iySE#8JDGwB5F_1xlmD2%L6oP zU3f)CD>MNkB#B3{nEWmA*Qj<_beQ%;z| zqe>7(Th0#G4FObvvAGQkDbzUG11|yc3$nLKH}&moVjH-Ocnn7n1c{mTb@V>~^dh&d zCf3(0c@NN~RYVCQv0WijlU|(62bzo(AXjU|8*j!#S*{tBE zA5%%jwDzGPyeA!ghqLEkf=XpmECrZ=jqze%y{?~^o5t4+F)N1-XUE$;FyW)c z#)>&DU|jDU94e|a+k1KfAsY1$3~ct4SEFxj3knMM!p#(N)Y>3st`28MU*^MQf`0sP zi;pLRxh!<0)2zA3L08Z#6@wV2XkTIuPaFUk;70H7w+~FGs@fn-Yz9tO*@rC0yYh(~ z4^0~mXAu!FYCPlN;Suo%q%aQ$x<@$oELVET>l+$YhcY90FCOtZMMB7Rs^x#Qdx$z~ z1mSy^y~1`=OiTB}kF)_cTkegLTV>(LpRblY)D%%)AZ1%C26vNe3aS7U?JV-)!-oJNvcIKfQgU**u!Oo0z&0kzL+qyPJppkp zMz*_ff2;e$e|;)tyFJx4AjRM1gGW0Go5zNWMKc@6aV?* z`N({OCl(bs`4_-0goR_`A3r`r#5u@U<{_Tj@tWCY`b0z!Ae`F+O7RbX4R7DMvj=&= zVwr+V&V6j`KM=xN;KrPvcOJv1I+z!$WRk@Y4hKTe4+vr42D}0S^k93qySp!B(B`Ua zH+OXSBBSHyna>Kq7V8M6c-OmXJ(wo_4ImdpiM!`k#=}`{kmW>i+cCgElK|Q`HaGW| znoT>Y@8`FW&NpE3{{~OW8J9G&t_)rW{1F0p{7z1mP8P$Xl#1&FbmcNKUTM85U|>KE zYq$*I_6c|{H#el8>}K8l$?rCGtiWhb=6o3=dF)xP&qivIKGiiM0w^rSKUwI#c6a#6ExKfPv1#m^r7uJrxOf z#>N)T>v%M(YEzIK7N0BS)h{ef!t4A7k-R3lhXC^VKcu}CcZr@dz&W9OEcdQRafQhF z_!g(6aFOwG<`|F52wR;Q94rHU<0j@432^3Ix2eKz_TT*fm?Hn*CFz7Q>TU==;3_WT z>lg;*10}i-EYBmmE)Ffur|XR5^Tz(@-O7|dFFUkrx+?EViDf^(7$dtr@wBQPo`cW= zlS+LjBLg||z*B zpUO{s^CGOx?Xea*e0@dQg17(phOK%dk5F7u@xgitqYMGD_UycnpBc!+vkw1g33Js9 zG(*E5p}&7bru~S?x{M0_P4Z4sVPpQI;Of882&PAbA+wuO9|cCU|0-S8~l_ z{3AC)(K0gpo4f-@>bo{yQ_)LQqzg*^J5UzWDPHEHK6_^4adNW3Z}U-)tCD4w=HD%; z^X2e@LuS|HNh~bJ<#r48c||3|@kyjP{<|bf2Aa1wHbLtAn!HCDheugiOg2|dji_C? zIm$m`CFaRXyd1SYi_?PoFj};coVNtS)69f_8gB9M$no&}8Q345Hgir}IZPP&CTVvb zZ%?L(yLs!C^kD6ksr6EXvdMpAuvDN`t4uLp4c5luefxH6Bsgi{OKGW3AlAu=fvbak zI-&oE7e;}Gu8O;R?Wd8Fw%gX!|L*>XftQ3qW6)wZ5&!etoY*lD^svR7?d_G@0kBN5dlU$%GHH8vmxGwaMhWFF{zXKp@-q7WvTUNisPxNB18&(XM>9 z=d5Ir4*o}9eaSE?Eb5LO*li(0i(p(AyGYPAGebemm(Gb16K&1z)v*p#o=E)h?~2jw z?fn(S-Es09jtU}1Ms1%KpUVnUypW@yLF3`=3T4dgDzZ$?=d92F@9g*TqN49NzAX1s zkSJspX13E)i=uNcc4W$>eMoY$|MZyUl_*MMOUDF>^k;;nB;ppT%wE`guAtrY2>#}t;wM2tt%szf5qgSfEZa~+ntaw{&$*nW#GwYD)00qMuj1e0Ybi1BER zzEDw%R^+=|A)d`k<}v*}muvNw)q(M>>|iFhv4%Isliprscn&-k^2QJp>VWQ?K zBcqpB-sRyh389F4+#Z=f5G){tnh{M5SMvPA+vSpjl|vPDsW2Lvpdc0Wz}uv=8UKcl z8XA5lRcf8XLZHP1y&Ii(vBOx4ibZC9JeZj$vFN|6xQ}7zcdu~Ribq%L7UH?y)6jTd zoZ)XYWFnWY-7r#mVvL>0@o)L4WaK}^#_6;iz)hcahPDNmr7tD0X-J zcRfjLvRw0x$bk74n`cx6+aL6j?q|sL-IN;2V7s{RIouNnMftY^k-t+RvEy<%m(bj( z%sf9$AIvgL623TxB z#Wu$kj7Cakw>5c2aO;N<&dy6fO!Pg6wP*{O>z~8*ru|RF+CuaPf(ygAJD#VbbK>ep|Ca_Hm3T-j4j&#ZOGK@+2Q9D@l!Xu>DYyhV6}hjahY!x z9fyNlOWijI92_4u4?>LhFj)?VS#s%5)(^aD**}fr^6>gYHm|35N7HGS6X2AMtuliU zf5Jz}-sRnuCUlBPB$JXtZW!mFVnJ?xrRBSW^R0I{!rg{S@ zhjbbj6jJ=Wy<>~z7zpeBGTdden^<4ttirA+Eva>UteCDjE&S~cOQiBd?TuS^9^lG_ z17$KAXtUZ6=?_kfQrJ3T1i@gaLje^yk``iSr6AlRU95Y`aN#YPN!LFd?%S1}h~ z;yNTgUTnTug*{?g(|1QqF#y$h#kd1MT?F}I#{S57;s?SayP#BeVATX78o#7tKD02F^bdN zSS)h#t8Rv0gCUM;JZhJG`g-+SlX*IKKYld$7C-h zY_W1VCQ0(NwD<4hIJslnQNd=F&dSkL9IcS=iDC_yjIB13&u*gPQ7g%SJr#|3ynNBO zUpD{Vd&HaZ#^!@?y7U`#K0I2no%;d{@rc7g?VaxGl?NMtQ(LqxChUy|^LBgRCih>1TBK9OkcpoxkJBpskeb;~z-~_Ppn>SyqaMM^o_WFR6aSYyo02 z9?>}JjfB$&#P*Yt<{-znhryM|(WDSYuQfM^>vHzC=X5`Sct-8lS21xvj|_QTg$V3= z3&cm!=wITMm?50Nl-8}7Hv)3n+F65XS|KnM<{XHryjiI9VOxWj+is0H>XB9VpI7uJ zgXvG}L{Oxy5ue|R&Zut-;c~fBmXZn9k?|>IFEY~oWuY^c`3^<;;NKbV)MDzFx*QlZ ztUEc#u&@kZF@5nB#$we`r2m1dJ&LDqh?lK)5_FnRSFC#zzJz&_7R)Uxp6sKNH(nwF z%n5)_k$@G%iVzV6aO!vcWK$_E!Ffa{JMMwqO@1SdP?-)NvQ2Nv)Fk_Td_oM%bD=id zMW6ZpFwQ=Q;9D8w_;R!II zM64;6r+XAYDR{Jf)IQlE2U6>yTWc##V{-F@(RHCfUApbt|rr`JYQjqV9LzEg9C zd z{pePRjk!0bUxNl<8L(U%c_KhTw@B|?)SLAS#*MlId=2a=rN z+x`gx_|#392~sSiQ|D(GznbKh}DdnPDSODCnh|5USVi> zA7cWs1FR2L?%%<3!A$D&?c}y4JUTp_-))JX+3#8AO6MARdLzy2Hgecvv;S=%JF8sn~l^|)6ri6dk#!CcO}M8wol!`6q@s^t8E3k({qc9T@6^J6ciL5KqnO#4Ou!I zIrWd}qOpgC-X>;$$l+MB(}2Xw^O$SA{T7x|khi}8ZY*%V`4;nBunN)Z`A|?$$kli) zC&x=AxAaqN=|ZS5yIEmsd*U0u6l&tsJf^?=sk z1?GQggT*5{Uqx$#fp>q|k?YyTV1_OfF(isip3jPSC9+wsm_xa&?H%L2c~7$81Zp(! z4~u`zu3Kj6F3X%wae8?6vkE(`iF`7+jJEZb3skZ(fband!vmP#y*?2#&W(xP-RHoYb2e63E1Rp~EE2Z7Cm?WvZWAbU^-=F^|8OL#v4x<>L;p>q0ra=)}RE=*N5 z2r=)|4T`!uI~RZjtAonNx4KtJ!v1MW`LMlFrFtr{2x*OI73g$Fas+?VsQfQ20LkxE z{RP5Ey<(NOQd091?KFi~$HyWYO_c6Se@;^g%1>=gGCehRcMX)C1|L$m}se|kF8 z2RHWRp7k<&S#qZLi%kR))+--=iG>CCCHxG(!+&KkbFy0>xDVNy;q;Wi$B%6%5) zP}!JWjL>}i@@3f3CO2?aNCqLU;q>R>64Ar^ZB+3O@DMrxiI|lg#T)n z1q|~ZDJf}Z++{w(XW_W{v?40d6Xmpgd^K_zxB<1UNS;_^g1IC6jSs2~MsjYw3wPSw zU}1TG^-8SN;Bv50j){#ko7?`9!g^vplKmgg~wa{>@t?atYY=A6qLmBB+`vE}7i8tikh8JZkPO zq^BxHdH9B(-oD*wz`D~N&v@~88L&rhR+L2ZDa!0ks5SN!85TxzT5)N*Ug`$47!9Vi zm04`RuXTAtCBN(-)+FFnYCKjz!EL)?zQT!KxDwu^-ImWWRQK&1QT=}X?R$YngQnP8 zyxEfLcUZ8Ld(_o4^~|_c>~u zp0R(`@dZMWo;7Ojsm$76yBG}Isjr_2k(%lIs}Ln6>bAc;dt#BMf=BA~-qG3iIO=Kg z?>`yx=4S`h@#l6`RSB|G1`}lqIcoHvQ+i$TXOEn}_7mtazCqY}@L&L;wxLF&Q!Xgz zJuI&X-XWgc)N#qtkO!*K4av*vy>f{-RC)NSE=%wVIiX5pn!QFsn&a$-@AYVMFQhsL z3N?4oDqGA7^@K^Cn2`DT%UmXz54~f=>K)6Atd1S4td?_4CQfcanP=3bL@kikr{0gK z5Z&gUo#BmOq=mQYfkX#e2acxRr!(sayRdvM?^0D{T~J>Z&69%n`Q+D28x{@DQIi^0kSvO z>Iir40PKc@f=07Gm>nl}YxQQwUAwDKNgSc>(<>}23C4*OT1(j8@L0wc{pBXjy8RPCU$ zE?Mh>Z#1~`ar}jp(Qr{;W`sxbyMfi=E>D$W3?UphamvxEu|GjiJ&X@`j}=!(`veZx zlGl!j$tT8(jV+*fQX$$9$Q^{V@G2vtz-pN>hTAS&EUeys<<~GF#vP~*Hb9k^!}SUa z$!IvM3!Tv~LCDu&8J}(g*t`1#sqfQ+@m&h;3I-DC%r&BtgisOz>;)7wI$H5Ec5TS& zxSC*iu>;L`LTL~nKg_YUwe=qEye)$ZEQxs}nxwU*g zIxPXglbM8g@}7N3EqiC{NlXu`p%BV8YC>~@Q)NwR+%q#J{JxoeFMnd+qbga zkBE%fa>2a5;b|o2zUnPHb{Ip(5`$?AidR_86Se8tcsWru=9Z4FT7PNMd`9R(Lc;%GvqUuI24LAh6R;>2{ftoVBO1pWoaps zKS=q4izKp($vTZ)w>_=u+67-YNlf^=fd51A!%DsDtWhu8M31-l2>oev+d+!aK2aV; zEjHy#F_r6w0b-$@fxpHhC4Dv36p9_8*ooF>M}Osk%8+|*bE8$cQ;#(+PJ=VR{xjj# z*}&70eLSHytNXOlMGTq>9IhH#gVYaf*7c@cvvr})@LC>r_lugV@o!ml9=-2B9Yttt zM>6vR-LrFfd`CtGZEA6G5qa~kYMQKw?I!|(1?&G{DT3331a!h@3_~$@ElL@(M{>YmEN;Ovn?3_WcMISQK+sc@r;Pqtm^?vSN%VniNKZ#8Ko}X zB`Vp!Q&TOrCX`D|##S5A)ID!MzAGjvxv(~*>Rj;rxeCDuz;eq+cR_VPH#|Netx;I* z6EM?iUFWsc1y*aTS-|r<4 ziJ;hle#JG4RiBcSH16c=EI2e&R8-U+L|?6)os9-B`ZELspzm&?E ze?VEa=x#KjYHKGie8*(MU}l1ogx4W5T}EgzyR?9iZ^HNCOCBP=3Bj>~apV4hUjTf+ zd;vyKLJT@N&x$%?2=8#MBXf#d1i6umB$&Y08ZpfUMvHcjQ_AN$4w4Ntk) zh;tytSrl^KSoM^SAK=;5E3B<-QRf)#x{t)(N{dQ(tdHO|2XrNhV4*K}M@90Cg@jPq z6dCI`8OWW^p-VYACA0{wone{3T9<4&7ULoE&r3HWv z*{qQVcBun~s$vJ*+Y+aHG==*5bDP;XMCrjl(VjownXsY+K6$sBTe!rG{e6C-f2(L1 zV@>O;RN4uXTo}JXE*mzP=1xrpi>@50W2bw`-!I3a=0xQjDLpV~!{E{KO=8qu8146Uzs->GM-N+0q=g z>dB7vsUAFmvOu6U9&uVmnoc_01P1UKl@w_ye_U{|-IiK4u z^~4A6=5__%!F<#TmF<(`+Uw1QHTS~bzo{>-DxqRD$n02hw}*eb$vBq?6$`=HwJ*mz z=GkU{nfVZwAukUQ=bVcl8I@mIIZx033z-Y`=M&)mwkGMV*C}U3P=ZuPawZWOh9z+0B4^$W50{3P#G?cX^-4=Z4L~QiU3<;P zSab3O3iamNHucI6U*z@W#z$Gq`+atN^YOPoV{K=G1Tk$~ocV$mR!hL@${1qr^l#!3 zq~;mP&$2ORtBp151S$jbzw_K3J6WwKuDZ;2^C6VH>pn2`rbuwB6#Hn^eeFToIXqk> zyZ$`ZCSQRWf%OVZ`xyrZ$A|@pELhN44~5IJHg>sXQ$F@(M}w;ggNOftjhBfh89y8p zmW)lRakBdoxUA8#KDQ>Byb)To#zrOko!7>{6e9t-xioyQZY}J=Y}iqhJzQuT-~b+_ zt*z~aLGO=*$59MFH5tgDd$k{bjZH$b+1M^9U1=2?zcKmO zrXq&B{8pBV?qgbXu!Z4=uC8IJ@eC)gND7ssHCzu2>SW(RF|gDW-}5#zx%)ZOM4!}j zS-w??o23ohV#}pC1~z+53eq)nAS_ zi-&>=zx8bTBJ1(%ugctlBmgK2-PL{!jPF$h@2Vn***`3b1qyWSWhf5_FLxI>R$|X> z0b5d+CY|K%ZK!j7p@EAWPN%Fqm>h-%_ZE2bMi~T-0I6p-#tK0YmZ6X>CN7S_MRok# zWcrGg|N7zq07NCaa#dnnA+2V=G0C*fV%?s88Tpf$TTf{fjpoe&qxt1-XJdzU{Uz4x zYF`Lbw7z{iEtFAnXH0`i(g2+p-}9iTgOE5MJb4ZKrbbz*sNLN*qOV&Rg67xj7fRXV_218r@SKF|XFd$^ zQMM6nE%W()4RTaFm^dY+qN2Kw{XV5N_W{nF=E4Xys#*=Q0jPN}$oMA4bQkuz*nQJf zin&6lq>=bmPe&t>i%erx)dbeB4oP#Md>AEC1zymJpy!W{pv!x@@?oj&sw_tmC7w@_ynfAW62A_t7rO1L0oj|WYJp^kY#Xd2kH#Kk= zM-Dp!joWtRbdi7;dGi@2s`P5#8#ZP<0S;kL%vj}W2V`dEYzh=kH@Fpq)?4F)cD_wt zyY$}VjyxbFTp6smgXt7LI+_mN=9iv?a#Uf$-owm+qV&VuC`?ie!Vk@V&lOM}zG&@S z=@VY+-2Dxq7(CW-b&aGR<;BjoF9WIQd|oxLZ)JCMG$j2=#TM{-gewH~#F%++D$=Js zJYN$M3d$+ZTNi#_Se+u_;^5SSPU{r3u85+dCa8k}UFps>dN(Pwv<8*8kn8H|GJ|9s zs0kR}Gqb_-P~LYPCf|W=x{s4cZ$NloD+x*+z66fg_!BTUmghwZ2s+H6dU$UjI~q$kseL|B6>7LWcGEIEm+B%%=V8XU@ zC=d8WcPPU;fNW%U!fNW`xR&Vnk()_j9UQmaW;nq;9xpETxVK#}{@Qz{d%)Az7lcJr z$0ys9kX|PwBnZU5NvW$uk(b}UXu-t5c*e^+iHhg_)hkdD1yy=;-UjSaM?Pbe@MXK; zWChzF@g|?R&Zr~_J2GxIUrsBQGV8Z3Uv6==hsoL>NM{%8*WJW&axT8Cy^?g`%F_5W z)5DL>HYJiefX`+!E{D&CD}Y;#M;l&XJc8Lj!1{hjwRS=|TLFZO9CllDswErN+8#L# zi?`leTfaaEzt#rRPtJ|gUvhFrU4u(P^wdaZX4-AHe5t$^l*8RQIDnkO3pnb5QZv_5 zk|Ea>Y>Y=MU7lomP})2qa~Py%RLFVp{@2&`ligB*&N2&1Tx7kT;gm`&5~D-~dgA-{ z*^V~)_Q#Ed5hbs3*`EGnqEJTHV7w^>ggR_z`z*t!bi;2rWpFpwL_`QOIpP?KIHn%lPwT?;Tc( z#QrlrjXLcwuyMd#90Ua96tdg%q(XW+%xYJaidvKY%%+Or5r4ZAMR9>b?$h-@!7K=U zzW|+`ltGi9Zw2~ybda?+ePlrl4S}Y?Q&Ycq5en@#d7xf(xxNHWr7BG!`yq(;E!X0n zLqkcvRs$E`$;?x2ZI$KE8!LTJ{YWoy0RAScmd0INof8QMx_CncsOw~Rn=@T|*?#6m znoN_p9%a=*FaeZhh`<#&ZtJpWyR+*we`Yq*xC4dd4Rqp~-S6I^xb%;Z?;5M?U!Fz5 zc^9RQPMq3RQr1Obk%a5cQn>^IUiD>`i)am=fqzQvJYz^I|g}?dO)64 zZd|w3GH%UTdx*RHR~zr)3|*Z+NUU{rEK?#Vvpf)Ime02pS+(j_0m)zkuM6T`CfBP} zlc}m8igz_B!uQ7PAJ?k6V7#}qw2UJT`0nXxHQ#*CQ!VMS@sp~vHEIo~U70;N z*;y6BwSMIGaE}po2!Eh7u{m_nUFxF4t%;x}7Kie($d&EU~i|dZAHZ*8O z#&?;SJ^sEgerDl$98uWD3za8_z<5^|l=O6OL~|G#-c8V1-;HL^)%l0c_xIH9<{^vM1-W(MARfof>&nPIE&8DgZG?Nm1O)vL4*tB){+w;YW zGBQFL$=W*@YsLPS1O`V&wmy)u{`JPQ+mC2p3d4^0kBk_!MG)qX&G@tXUF>=WpgzEW zKEyhz_|KMCRrQHNM4-;lndT$euGW7>A*9uc{mE@VcDbC`7n#k3$sADkL(b}|1XXs{ zp^Wka*T6>~Z2q5xy@1}qKic`&_zK=>X%$DWAfe40GfCz;iQ!J2 zng8bO>(wcKvhB)yvMX}S`TQplTW9pi2`(tHTB6M!a#{(ujA$B@8(h1PFxGAe%{Q|F zYVI64l#$h16vJXrr%@_IB*46mKP~oLDln<|IeZZ6+hxh)&le}m)@uiZ^s3Fc>pdX8 zU}%Isg!SCoJ?M0ppPhXTqH2&8o9A?iptq}E72+W@nkf>_QM}wCEo7xgJ7fB!PG{*Q zE@>ff^wuW1nKOJjx1a@?|v`?QI5)fze>zV&-3321%_kmRrxCBct=% ztQn}Pgf^>BOs?MbENn&ChIJtHLp19Z&Mq%YRoZSs<0m?3#u@h3#gHsPV3+>+^XCsQ z9&*~O;X-RjGBocAiimJ8T%4Zv3|HD=K|i2`xH$3o@^K<{-p96fff2?2&53j>u5q8X z-!|&X+2dl}`T21manQYVxaI9#y0r^>HYmOn=y=9yy1WH3+a|q3u4yj7|14#l$AK2h z$G@p}b{Z5&oqAP_n$IWNVqMHR5C8+_jsxn<^r~!y_WO`jk9uZgxPMppt<%zNy)o(m znYoaqx*h7PGuU9q>iPuIgsLSbzog>%fDOIv#^-!yzBR#FbGk$fO*qgVwv(xyk~;0E zGF$RV74l(ZEv+!5(TYPVXnut%@A==r7SeT%l{2vlAO$k?Zw_uEEFZ*Q+{yn`t5~}_{N7`7P)~#vRYhK9u^$_TEqAb66#5`h} z%?J8yNUN@Eg03#RsxEEu9e5j?9riX$g@3+eWwp}Ni&K|!9of?<2HA%LXeLJIzJK{b zBgLatzMPVt{Du2+X@l;cY+MKQNO6!1(+zu6V)=n)Ww#u#YGOCg>@Hw8~l>RJ_2*kMJ)z<-$Lbh;M<;o$f0XHfT-unn97raoORT_%5M z_v-w()-xiJy6QA#pUs4xX3Wt7lyXq`3Jyw z)>bA~o$plgnGP&^oz>B$W>fCE9Xx1NWm<)L3gackOU56HL3l5Bb#()pucS*%n1qvp zIy*1A!ts(HBi$onaR=8<1br!xkRsY&;+^(T5#Im^YJIZ<$Xt{{mMw&&%TyV43^87f zIa(&C2&78#ef&uMQO}5$myGN8a{P5?`~9!D$b46X!hTHm@l*Osx2r{%G|Lk5v_0;Y zZn^}UIq(*lnf;P}I@S*Y+MhsLj)5t=oEfr0RREgZWU^K6#o6molW>WmzjrCWAbjiw z&8k+=!lbROy|cGB2MwX0?d|VF>-3NP<<#2KwISN_017H9!2h@G&o{k+PoeG^32WYD zEGS5@Gc&8I`Y^!!A>@B)0p=R%XcSAB4Suk<1g@`)57n!h>CP_S-CwfbIr#V>hs=_ocI~vSpRW%eRGW;= z$PihZMpRcLLraQ->BRd;AoItIKYmfjOUg1lZxqbRv}eaX)X{XQ#;0w~fO(9KlW!++f>#edoQ>&|8bue!~7gIVuGs6liY#Fwfaw=BEr{OTK8n=RvDzeN@+Ewd}CdLdL~+#Sx-h$P>lh zb1V8Dg5qcmqNEgOvb?Mqb`Bqrv-3rEIjQ@zJC96Us0q?yaP&xC<0eR{Dk4%o!3_AtRr6CEzm z*6IGn)B1(6o=#^Z9jVL7@T<5g{Kw*w!y1}DqBMK}*ckmXlqK4r1HKvZ0fZcXDfq?; zbex{Lm_o|a9`qy~08E|=^CYp`pKVLgP)zBCv;Ko3gU7enWw+NKtb9B;Pq|sdL`NnCw z(vQA4PNOEij;}t)49pNC#RDSIIc3AuE~i$ z!g+A}HMaXY@<$}=m#G77hz`@x=d$l{J%HCEKrGQ|mt*xdZvmKIZcT z)Cvi&ao5z>zYusc>w3)!E({X~N3J=*=5fbPGx3?re#h(HLyvp8ST4B8OFirbcDeeh z#p5OND}!&J55-O(zsA13jdp^xG9SpVw>e%6p@yAjxA6gz9}(;K5!h9TcOihpqoaqF z&YADLQ`n)RvC$hpMe^k@!<~zLOq>VuaSmcq6ZY%$=;h@&J-o|hpK9qVNv@9hdC*)w z5;+{}AN@{H2N7|*}-2$-;cVA2KZ_e~nDAi2-DeReY^5tHk zeOr5Fl=xV2f?kgm;}Ny31L{|79=-01Ff4v2G7xA|(-~QL~uk)6cjv9+Surbb@CZ&O@(bxs0@e8rHuh_+doyO$rKs7gUOL z3?#-+VK#~MjU>E(fdaRH)KfO-#fRd0lerFlBeN3{F`jU( zmA%dX_3`c4(9nGhQXcW!{2Dkrw6Ea3CY0crU%+ZLn3nEC@24eTy}7wL5Q9n!6>=bE zYs%3UIKJR;N@m-v`S4A8$+*x+&H?wyt+x3z4AKpnjfaddcyZ`Pe#*+)Fg-y1@+Kb= zWSckxsZz`EDu`v6{4zBLDD}Su1!0iTtu$>b`^s}&_P=W`I|-c=<;|)Jt~IfZg3i&E zD>tZ71o9rTF5Tz5`uqffR|*u2uHq#BgcN1wlAyBN>}r?Preg1um_;a847PT;{H?F2 zTUeTMc$;Qp?9m}%|=W03opo@Dv@`Q7|u zS{f2;IYl-=^YSJOQiVf@qn;imydNaV@p$Wn$tZS6TO+(*Mybf)KH#{cdAeNP!ZCQ) z2nEz0caPkHj6m(|5ePw{e7Jq0C0vS6x2j-UIYs@FbL?`4icVao z5v8w79sBmI!&705+orKsz70Q>ITp+mdEd)i|B0qEKAG1(^;e3eoQES%TVw4&OHl zc!|D**KgXx>EDU9a{|@)Kbm{XsIJ=RTND%oB$N&jq@=rBkWOht8j%nrMCo{u?hZvd zM5MbL=?-a-Zls&L_}_8HxF62Pd&W49cMN=C`(y8CKe5(abIwKgh9_!!n+XE0hj)u> zZ6H`E?G4%)ekvey-|qZmAO=+fe*i8;D!?59!EZSGi|(n+`eS*yiM267M)8yAU~u3N z5l`>NXAN`M@(ckWy9Z+3k^#nY^2@dbK?01WbnTgm49(7u@MEcvys_n=2GoJIFrr5X#-vt>tmp*_0?N zr>Ehi#i@RNy)Y*0xv$9xzIwZ!IEKkrBNQ|E7KS1Ee&qW z2iJK_8L}J+issKb6Z*`hGH%A+j@$6Qc}Bh5VVUIpIQ4D_z{sYC;tbLJPZ4&j|9lUO zi1h8vmt4JCte1WmW*s3>(dci6V}ejYC_4f>8-w}}uXH-~LVZ0X(RMm+4dW>;s>#V+ z6w$yyhSOP;jSZ26gazRs@0f32Vm_WL^Qe9(xH-KNqW*??a2RRDBfS4Fb1Ey`T$9nq zC-wEqL2+^TZ%F)?dD^1+BC;oCcdD;HRl02&bx)^E4%B}tuRPS%`QbR%KHCE;f#`2r zVwD@uu=iEGTNf9=RbdS@=~60qT#BvcT=oOPrx3x~nDBhN7H(H%rjh&`Z=kTeR_i$* z$BbX|S%a;rQC@$aCkGco>E&MvnY{|vd+|qws+t6<9?6Yn>+D_cAlwTStb9Dk6z82v zcQ4*evt_ljL*j2V*$pT6_-y7Iay(hQh+L=h^ml z%AAI~I|(lN^?m92SF18vAKaqGUR9`?HLE?Zzp0-m#paItvMR zjgX~-bJ_a(6W2ym?|9*ZPTZ>%)+ML)G*LG5LAJkte;RWn@_k}Rto~?bx7{q3j)?=X>+$?ITFbxpr6!L-VGTT? zXK~DLv=}xKo(g93a(}9xsZF64+nZw{;cZY|U`vpjCj2&|yNpiXNyzfdpw25PPR>Wz ze@3C0bQd?uhk#htsqg38uPsMSKU71=hyqEe3m=}G27`UhJ}4)3)o64^xWFr;t#qJ4 zCZ1)stGD-UXGFu%_M|_QCksF1_ylMYA&QT1rKhKVs1oMjh^iCXW14ndif>-*yqD^B zzVFq@RO!gdr2i{NzABo-h^=WbZ7{Vt)bU{)VbX*J$=kP0)gNtdu3|+ed2hW?(Q)}% zM3y?gd_f7UyWq*dX3+5Njy)D-XTNA{w^WHlI=pNLzB!Rl75Uvu<>x1k?~&BiC52F% z0V5ziqxBCg(p>y0HmB%7fx~2l;@_sjPT}Ci5ku0+%&E*N0R}T0c7$tcdlVj-{5mOq67Oh za77q`BP;bsovtpAP2B6^mTQCfh{r_y!?Ia&lxNjciZA8lTWvR~4>r_@l)mG1b%}|0 z5474Iq55S=vmp{;{D9y5Q}bo6rXG@n7{l}D5AwJ(_vgVM1t;abKHk3UAm|B!&Ke8k zyG2{R4`(;iHjR4Azfn)9*D;@9{LqX8bF9U9XMkeLJnvYZI3#H3v3 zTKK!F+FPk7_*v}snb9St?rg;`-c_3L#fB`lu`lEPj+B3oEc1FC{gDo{ zVR3q*f+1IWVxJ+`e_cPctawNY)jvxO-?FIeYt*Px=!`{hY24PP<9Wm;xoB8)Z4Blq z2!6lN@_))=W5J4vCwW`X9~)wEt;6AuP2xXgUDpda;>e-cR7pPmmxjjwNsUCPs?|Xr&Cua*{C+g!n(yTlQANQ3{Rl&{rAgo)y`Ah%Kt^shnP=a5b=o@65x%}$9W7yVgjKo|Iyn41G< z#~y#le#m@i=*LPr#UECRCm80Y-RZIP=*1dUi)Gy_;@xnEkzp}k{gUEz&iubElV61P zXjBQjjiZJoRb@FLnfrz?U$?B$jJC>Xs%(;XCNB0ZXelPL-1+t)x6+pnj8S(V3%cB;x*1lUX{HC0v!2OiSFoY?^BfPtNb#@xO=k+WM?o zEILQ$4C!9CRTmpMDG6*w_wGNy*gsXj_cgug>Rjq%&r$RYIHIOa2wJvQa`b6p;hNbY z4e~#X6^sTyzQob=MXegyC6*kzPd?PJxGOsx8=LVEn{ShA)W%UDQjK-9dC(Vc8L$2% zT-4KSxlDa|UXA^_LFthn4$iS5oz5=|v}RfuAuy%_V%)WGs8==}n^{=oOaGbML3ssr zaCVD95mln~YxOTc65i!`amZ6jOq0!FDb_4hZf{y<%WD0G`7AspTG?30?XmPU7Nvii z+VkiePj&v2Zfll!GK}xSU))YG{7TItN=mLcg!!5Aoo7iDw#HL6e*{EnlWV!%(^2Pd z?3I2T^yY30u0J8UOL$;6qG4g#^~<&aqp#zUUIz#lGqnmuCT6nf9s-RrOFDecl4@t9T0_w`Ft&+{YE!lx-9(K$bmG)SwitG}x0 z94m4qTr8{)v6v2Zya0jK%zH6LXBms=%_0j1*=CG&mhdNK<#0Y${<2LtE zE!7+((8rT2gu918Wp$5!MsvDi$BvH_e9z1g!0@UIh1?AUI^G6r8ZiqwlIXr4X601& zqf-h|gk4XcrHE=>g?m>2&qZI|s^LW7A$ms3u zmZ(f_uJ*etx$(-|*0Ep62>n>!*|w)&cCOvFO#Z}_Yn7V&Her27KkwEu5P0}plTq$_ z4c({BO+*zB5x#y3(!t_RF8+Be-k3= z>yvfV*Rtw6bN!hP(*RBm}GQhatmQ;%9X^3icXwOu z>3*Mv;@{6pBKpHY^AMC1ipi&Z0**9Wwd5*{S}bu>Qc&{`_pFn(+?0H-;1u6@y+bbI z+4~|xGPV_8L&+fPWA)KYnu#6(>ulpgL(oxi&*82I+YlH?%wZHSA`# zEXy|?wLE|Cpj10^aDEm{i+=w2U}eo*WhLU^Frr5y;`l11D4ZnJbQ6#A=8TlzCiM5o zA2qL=W`fCj+=RYm;Y-Rek85;R#~5dGE=%8_oa$%fZu=r2hBG=`#VoU#kM!}m z5ITCbuuOJdu9A~Yk(IS!N)kpYF5;T~hpdKA%U6O^eIB>(m9J_R+;%(*i%#XqM=@Sy zK2nzt0~Pt5xrD(h6l3-)um0kyY_@NeJGnWZe6H4BRJ@0CSVE)yPJ#Bcym4`T!wdVrTGPvfizCWCLJO1oo7_z%5&7xa>IFwv)${6=yUc(>gz>nyPr&-PLgy z0=D|Y@>v{dy8Wt=_5jn4=Y8&;CY}$D0@4eyRCtn!0v5oeel19M_cm2oGj<5q2CbDS ziVZFWDUarD5llptQ&Xgf_`6Qo&OpL)v7M7kBTHwf^+Om&uKnD0&fGZw6^ z34@5kAv3;d$F{1EPyD{1ydqh5wm1*JCAXJ)5ZQ`iNX|yY%!P3{EXg-r{`+Jw1NZ@_ z^S6&xR95&rH7H%?8?I%QSv%xovjPan{>zi))K&btA=raO-r{7KLWXhvQ@p(OKM1Hp zrYkq%-QJW* zI9{_a)kv-`Me|%y{-NQPZh-2}0(eUd%sv~^5CK0Q*i?dJbFCSm*3KBgcA04Pezemh3jLAf>yv?MZ zfvvTaoe*WS+vaZD!CDVf}h2nbp?5cQ~M-JQWm$(OAZ^duGX@X%l-rs3xB-H{4R_Ov<=3lv`$u|JyhV8lSu$;C_JC}m?AkwBd^%KmZdyWh zP(?t(!@)U7nPK~R-RF41g0JR;4#OA{W%fetpbUB5?F^}p8#xB-toi|VYgkpM`W*iA z;RMW4LB6$bc?h2?%M-E~PSxLUofFod*P{oV#B|Q8jGGbOL&h3ypnQ>ccp$=$m_aV> z;+Ce9on23___hUUC6Qbd5nAQ5w{FZ#x&}KIqkm4(5+`W5o>W>lmn}NRoH>!sy3P{8 zo?$s=2}_1*d#@0e1RIe>a^O>xX;S`F#AUzh^38dn1Qz*=Kcc^*PuH{tnKYTuSJO3v znkUNz5elRfZMm&5q9g#FHc$6TTA;``mb^aY&Smtwf9YPrKy7Mjq+fwF;x`Wq;!B>z zM{LwtzrJ@S$D6T7n`6J{)zD-p5g3rUFhLViWGe54BKpm|%tJ06>j z>9OQ3EeC3}jTU6KZ>YB;=n3(xlEFd4l?jbU56{De5EmD1*Al!xgEQVdLd9Gf z4ynFNqE5maabdHd`xnUPa$28OQmR=@*&l>&_jy-`FAf*={H(P_h;F(y{O+iMjm(e@ zj*dUP%)Cg8&&%MlqwOylYJ?%Rj>c0B`1G73@0aAAs}r=Cf0tR@FVM_~6Alqc`kP-Z zP0ed(r8>0-Rd*PM-j>IHbWG-%=ovkoerK`Ihiwls=q$5FWbt>uuXX0|hd6<48VW;~B zJ|*u}7=R1H2sN^ODf^-#{)@d92fu|v@{Fip*G7&;bKUds70np`5m+y!xF;kkw(m0* zl&A4Tms!V%?=#-gc%Oc~8}rJVkxo6%Qg-NIDf;M7)*uFg$9<~8wD(dGDolfWH^%@q zekwp$X8lG8Q_MzE2GPQT51>U(|x5=eWfE#|E3f@BJ;aWzR}Kc^VfM*ilX=ub_XqE%8s2k zk>TVcmG=zvkr~c5*C$enD(9YEmB%-4NT}*A3kzbI`723!>U%F(mxQS1ut2;nL&$18 zRe`)TH|x^K&l+KMUgXA4(WAL!HLWy&jl-Di?cZjjFwoInTq-RoM&@* zlD+;TH@BiZ`CK)vLV6snvAm_P69tsZOR~%AkRC<^xOduKKjG(h*~LOeMsGX|x%!>b zGFK^jkf`S4al%TO>~T-ajj~@!?-k>3W*!ltf<#Y`S$EANHgtT*qpna1H5^6#t!Q@#|Rzh0BH60#2Zi5 zp_%!IxuiGpDt-1zrSvelH@G{?5lmQ1epP0b3+4}JG_;y>itQX*yuWU*J8GN5o4w$0 zJs@|-xg5lv!}NGqkl#a359y-`pPNjhuxQHQ>0Gw1KV$p-m!db172X}}xgyYrAevPs zLrjXDrMct1mss?O)Z4j>ayjp-`;_bHOLVm6GUt)lix(5Q_oWdxvKM`+pl@I|BP-$Qh3m+by6 zK?&O~fd&@j?MoHR2%TUQ$1jS{NWgN+_-WJl3H!stZc~{=;y?aa(jow`O@uK%(rOSY zco51~sOtxt&Ylp87+qlRJDBN_w`aFTd!nf2#x#YP%sDwGiJZ7wjs_-tF4{=qEqd7T zP4_@chI6<|JnLc2YneHmAiZby}>W^R?siz5CFOA!bV@6e1U#V>sNs3f4>m5|5`bE`Eh5?*%Sjov30D9 zUe!gwPpzx!E046Sm6!9-y=w)&bPR+F*S(j4$}g}3d&SuzOk*xEU*T*~rSOGWw7L|= z)<>}FHyvzo)wfH%N&j#MDZ8KXZ@&<0Q1MsNUL8O@8pneZ=D6pr)(%E=3Cjk4(#SAE(dkzB zN+lpoO881$a6CD)Hc$(^MQ@gjdi8$1<;MTAIFv;1PfGt2j4s+@k6Y%|>e9#(7H4bS zGzV{B_f@ZmSkzkdv;GfND~GcOcd0hY`jV~ju-*{DMlWwwc#Nj=RrJ_imd+Y}v+h)!05vAyiib zs`uAwnrv%8)EM@+%hWUS*-Lm|KM-M;$*Ezut?uUC6j#No>22 z^kiw_PIld;uiT@O#UXb;vLWx4vh|1edSW>ishrYM=E3ZT`x{<^UCP|x*klQJKaV7z z9gZ9ggs!%^xj2ni#w{Nl_dGsr{x|}czvghaU8d~Vo_d}7*Nkrn%)WiT*u_$=s22D> z@jwBD}JbM6_o0t3-06RN`Ah5>88@I>O z@mJf?*{rXgnpKijk??c?B-F`k5Oq9z+v$F7kbgvNu7#lsromrM#IZjhrW_ zlO^}ZKWx8W45z^EWSdw8m!>J#PNO*d>i)qbr^~bDP)uAF!febfNa1t$h~CerbLrwE zz!RA#ChqsJN*&D3@avRjLx%yDl*W#%BrAnHEu)#zp7$n}i`bBU4QjawIo&%r{}}Uh zlyLffc*O0|N38}Gwz$PV*e_bgir80I4+a?q?(-({+aI^R%r&*>j%&S%oJZ?JU%=km_(b(K2c3}R zj!SDf_S3iBxY?YGGPs8QKPrCWIOZ?WwDr92>RkqN9>t)~%m^CPX?h20Bi5i323LRi ztWO3Czra!TQxOS9t?~7t)`= zTu)mCPWVaf%5CHJmA3F1B=9cxN@#~iJ`Qn(LaB|C*J-BwJqlF2mOHWQ{XqDYl1}$< zui=sa?4u}WYfq0lV$hMh*|GR2RBQ*>mY049%oRt@P|*g7te(sky-!IdA1!$Kg6EB* z@&NLF_xlw~dM!UXw?vzjWu)JL)N03iyv>nl%VQH* z`sqzeo(7V#2-ic+*GW49sT~^a03L;jTsJLJ|5VmW+7XPp{?`Z#;y>qh)q`XY#4IB! z1V~~jQv`#ZkLBzS51w(wM0hGnb@x9v`6pM;jO^7M5EJ>IbF&b@2u8K1B3!|V5%lw0 z)6Td!UG9h0d!)FCUI_`^Am6F(T-u&*j3?B0`U<|}?8a^65IHd*fP*%?`h)Q|h1et{ zaXfH_!rk7gFx092x&DL&4|$|x{(m5Zk6LhEv~5~H#(v*K6EK3t z`HqO+vA>?sP(7xjGg3)h+>MRC_UTBFsSCwR8zj*vpF9iB1F~Du`kw0AXw4W#Zr4=X zZ}kxF^fJa%qzDBP5C>A_2G7Ody~^mJ%F0>#Ils_NR1%V*MQ+Pi#FT{MWjFAl?1#O} z{*tYsPBm$dcQqZ_G1_-7L@0@t9jp`!Ur-Y>PDJzW4u~|2)8Vzp8{B*YYR1jwJUKDv z>S9a5BpTZB`ED(FE{Jph5zS9Aqpwnof_=S6_=+#A;S_Itgkd;>e^Pt3uS4L|L;G%L zRs~g5BuHE+?lfUMQAyi#p0W}?WLJ1)nFnNWWb7kQ%)13z9Cp0_g7t{Ld@JI1e~HiK zxP1xj3C6P?$m3naKZ+qliLO#Wy?@3aS*< zs;NAJt;0^3UC(pMWT$}riCgirEzjo3?5D2{Jfv5*C4Ura99;%;ws{o+cLYp~yxNWH z7aN(Fn3Ddx?{C|SBD~>aOxaUK!cB2oObaQx*kQ{-rQ1b}zNmSZc+u=imJ@|xpu8cC zS9WuYuT&V>C)P7GwEv*Y=~P^fg`g@W060+n=W6-T+z`lAM=i%@YctZ<5eHT>jU}5o zuFb^ZcyG;(HaDf}YP=N#{M}Ed{(+o0Wn4RY@uMe!fMLb>Nco3{am)%7wl3PHT1YFXE^;)*_tfwG(zO74#?u={ z@M3}ru|pXl@4sr@gz-X}<>|sYoGUnq4Iu)XPVk?38hco)xO=aTJ}W4KWwzI49=`)k;m0C4YA<(f#7nhpD|Wo{BztPnpQ#^b zzxmBv>d`8&(s&nTZ)5$M_YB@?mhQY9F+h0rQzNH$>5+*(7y0z{BjYF62u3z_K^8lf z*C9o39*K)yqxQ_a{v#dw+-4>P?R=L}xG?7(GvMPUaAm<6QavBZx;4|UaZ2+0i{l`b zP1Lg1m}zilgfc@waNg(E0n4x5ewbVQj=Le#;fH@rl>cp)Dj)Q6Di1=G8%14gGfxH_ zfbOFWQM;Qfe&}~FMk!2~wmj4w|69ZX>7WZYL5qdeUMYNW8BM(5k_18!7j6qXRdve% zfftU=TGKj?dvULen(7Ion-O06@#Sjt$lqF5R|8JaUgcS+<@b@>(mO-VtkT}?VI`J9 z!}5x)*Q7$HH2LF$F;AI!chsfTP@l#FoOqAK|1?=hmil+JJraYUMnwHBR9_On!6dt zc{clxA9pv`xD_)r@_5|N78_?geu2P(&8Vdo>O3c3r!z8opyPyRx_tcZhj3>>niZn> zcORabD7IFa5oT*JMjqG)U;VMHwg;R_ikTubcpya-^w3|lE3Cf%d9a6w-F?v&Nre+k zQ0;g|gLZN1=uCSy#D(E{y3Xxx^&#$S0~&Y5!?0ap6~^Cl=l+H9(J$N7!ht>2nRsPk zWLygC6l!O54+}J{JHH+P)5|B^m7wPrF`wY44iQ__@eNUvMBZ<8XGjO+Zay5!BHnfb zETqDh3+q!~iX7)8L|h-h#}~X~2KYc_d5zJD1)AXT&N+Pp{$jcX3Fve1VFvuryX@#8 zC}F}SCYB5*s~2|prI|l<01S2L4uJrb2QdwNP$$UB$h6V*FUyO{wv7EiE2#MgOSQes zT0ZjN%kq)KuSSLTu~h7^g4yGH1s+9C|HNI6YfhFGRq!-_X>a~}PeT;wh#<=6u48;+ z6+Ks>hicy{VuWt?%8efc0%r9*ZW2(nSkTzX97BlDGMx+bcT^=j`H_M{{Op`>u$0jw>l10*NXayR75RNCMah z_@(HCNBz4j@vf&^<9(7DQj!=R>UU{q0u(M>(9yq$6{b#AxDN?3$>TV))_X55AhtYj zK#%gtxP8GDj89Mdq&zk92js*|jS6?wEc7qrBR}zFh>7pEUr3oC5O4Z?`{hTh@r#jH zo8wfCAL`Tll=pMB4BQX>rgd2ep@#S(&J?bh(xX*;`N*JG zJO#V% zH4c)wdMNzIlv69F?-aj8JcjN6*@TUk+rN8hDIOv2ZFHHxm;f0wA{X#Z@>Dw5tV5c& z7x=D_Ec9Qg*#Mixa1I|S78o5Gg^}`Oyg1(EK08|)2n?!mAISdp=?myL;lO!}t>RZz z_0#-oH}u7-a-auNPLFE6OIPR0F9IO!CQ0HpS)ouHzzsG!+ri&YTP>r8J<^Hv$@vvH;JB^dXDmr>(_O8iTu>VxB}Y+V_bWsS z1COwz@4od~1_#NvRB}54>6+4B7pvb`6NFtKoX&7Q_VPtvvjeYQ@GOy>t@-D6&_&&F zv3V%C`=_Si$<%a{aZMK-4mJ zuit%*9b_!W^8}7Q_U-9An54|OX8ER*N;x9Q%^RjXLC;bwk1^pNJ-W>TtXe&r4_~AH z&Y?KeyD;2Gso5{HC{MB{JG`pyBxH5sX)=xSDV3B@dKwi3?gh^uI)3`W(8&>(a^wGL zwU8)`R4On}?j*+`RWoqJ^UsGnL=*DcJJzu+Z8rkzanUsb|Hz-%llkwnV)vrvl zrQtT(-`XQ=q#~Jn41N6!Q`*mQ!@^{%bjn(mcx^;+YnzY?ZL5!N^miYKf`JS89U1Mb z4K56nd00oj(FQ`9-O*;o+US{1b96aCh??0o)V0C;SW$vQ4O59g2Gh6@2YFK=OQkL%c zZx=WRkJNA{RD58uN?Za8>S2&64AHpOmtETp&3$rgg!72(W^d%()6<{YDkl4e@zTc? znZbm`ObK~ff-Lv?EZY-DC0QS9&zP}mGC~EoSonYsN@V&QFQ3QgLfKJ<^+#E)-I7a^ z63WiBBh%Fl^t_`pXz-q1(#+HRZrVe@>9o&=;rBi`bZX}_G|O`z$v+i;46()Mt^bBo zDIoKYEX*Tc!D`KYD}Hl{8OAbe%Wd(TWhnjyCBi{kEF#Q}E4y*5z#vBXSM%VBwI zX2xkV#{}JWniraP*Z5{UZ(m;R*m#<5|M|T>VS`XytWh+*lO*!Jw>PoT9-;{7O}PEV zj2cM*ipdp2j|^wZU(Q=tR=V;;w5G+A@;eN^|GtI1hs_TGMD$i4v>;$I*wuFR_G4qbg}WH<;WSe~5eUz&=L+=X3#XXi5^p}L|>PY;i~9e9w0%m3MUrd47mw{A#J90-5#UuQ#>NoK&Fu708J*Gm~;$ zj!D3!2nTnI&{^6FS$K>H}Sr!=$F+V6I#+p-(^ghb^xJ!ZOX|WU_|y?pP0)O*&Th zbS*YPZK&h>^lZw42C$}VkG8@|)T(8cP`!EoHwkp=sUQbQC}`{7gW)&930CbJLB|hk zg`Vz#_ABYme*=r5#TBl`7@zY266ZUGrSgfJUfPr^f6yA9{k1^LN>Ht3IS*HFt#d){ z*qIh0`(5=>@L=OD=`{+zaxV5F2_?!p%glyLY2O32oUc_*L-lPHSWoc;9I9%cz5(nj zVXa?WN!f9Wy?{cNZ@R2?vVn?hr}z{*k{2e)rX3mYE-{O)%;Hv|=QGjy4lhLEM4@v| z=-4Xx;RDv~sb@H}q-+LDt(EaAn7^LTt!;lyYaZ8QHmqZ2hLp^88xeFgV0#%}f1)e5 z$%pSrWW)~XE#ezWP7RoB!_5Eep)4!cM zbpei@{_L<*7}+w+)7YOk<5BDVY|kz77>Ro46_0#Eq7Vx9IGF_EDnn!&I!_@ zCQ$n`S8EaoSzbW--<+tm3s<}GT8BJOzb>AZURU`S0)F%67&wN0+@j}AO#*ce$}?=aU;n%0?~C0N4)C)%I6SmD1Hm;5IK~`xvv7)4 zDdg(KU-^@_YWU1EcEyF8t`;T`GSk^R<1U`GJ&f?Lu#TRr`iG^``-zf@+Yjs0oXDbq z3R}L;e-=I2lzjtZWyE3qvu?w6>W}L-ihn2nh4!y^HsGK+p{ABKhSrCqf}dkHMm+ys zoqu%PM)Kqg7dqerRRrE6AzRj${$ZI=Ax5C4O)=~U*??}De}}5PZQrD&@jbwh%6$?J zg_>~3EfU8M(ol-KY@#q<>2YsRG9~xS5Ui1|m%93{s z?|}L%KJes~LD{h|W@nQ{O};ctnHpxNgcT=w7_2Ed^|oa$gI6x21ITnwk>qj8fT!Cs z###Xavs^VrK2k?d&uFyW`UzR9?fggO5GePeuQ|_seDKP0qIqsD8As3P=-s_dOlGgx zqorRKBw&fS+?zP^xsHS^goC4%cs2<)qWT_skBh7xVS&{jEZ&N^f#mZ^Zi_aIdO#6SSC^ zRhiL3q)7E@mn^61B&^c#kd$SjB;4HY!DlZoFF)&vdLsr#M4qSX>;}#&n3a39sE&$J zkaqp2S}qV*T^hlf>BJQR*%>ejj^&N<8JwJ>nq_|>%=!ismKIMh{wAL-JRZr556)J! zY4{>3r#!;y?0n{p@QP8hWzO@}3j->wD$W`Nji|8FYzwPDMbNP*9Gd2lJ{6!g;v$)> z`NRn=oS*TZBO!d+>bMi$jnsUa77UxrRb$Nb#`UUoe-lj|IF=V2XX98NB z-}!pAEMQ6SoP#3>z=RQSTYz+BCt6<5djUHG8!8iY5V9wVPL%E(DA7U~8yOu9(Hqs2 zIo^K&UEf#yLhjiMJ(5p9yK!6n7_Kbb>Ojy_`JdX|7Qw(89@&5O2A-oN+`?oT)M)E4 zSgNXFhsyv>2s+-O!}lP}q^4OBg7OR^J^fm)E`OZo^%gq#GNHe4aUlWH8XI&BTD?A{ zoweJBE`=p7#}A<+LRYeIEh-usY=lbGG@sHyJEhH}nIcjdWgjA6s`@eHzEwr6h&Uf70sSyw!XUa;5sq5xvk}eJZQvV;| z;-er`R)m!!c)k^%R-@2R480$D7>6M93v<3Xie~p3d>crqKc_ zCr4Pno?W>WGtPHkuei84xjra<>w~S*6R(7CT zlz3e0z%^a)7NGyOqxoFMh;``2YWdMTA zz97(HtW3x{>fT}l8C9616}TyYA8+4((5iSbkH!o1`}hO}Hc-`;m=@Lyy=#S&6R3(p zWLmj|g%c;m7d(z)kL60iHVPb&K$H4f(*6LAS~lHcWEJ|Ow$H2KB7L6>$$*JzImX7S zx2^I7<1P$uxFxu3Y6kj@J6qSVB+?5<3a0Io9cpUW_Xu%t3NET+@Dl!ULesIQyPj$f z?jLR3XMXdbou<&RdUe}|W`!^BCuYu}9GU+}?w+4Y%+>o3D3Ao{>+kl?F4`7BzhEFr zcR-OqMqa+vxcII)CnVEocdc9BzRe^|?h2LbW@qV>J7(V<$0iy7VllGtSMqePkRLUL z^Qp_RH;=XV-@{flO0)~Cn-kv7zIt~YhsqBuIu&lBAQX#6( z|Ha-D`xx>Rt5=@T1nPoI6uN=Oc1OEwCz|J~PYv}Y;kZ^gTzv?_Yb4R1cUY&wlW|v} zWJU^=TVH%d1z**lHuE=`cO3rE{p{M4y(4L=M!ik|gzk&k9TaTzT|i83YC zt68)hVpxx3`m!3*KOlE$w>z4vu{giSvmQwu2w0(uHCEO&Q9M$!Q%Dx%a=jP${KB&t zm+vXk{-9urT~p0TYOPeN?5RY|AZzNpP3!jP#ZYo_1Q~{&|3jd4X&5 zuWReUYd^&MN$MeGCW*rLfy_gOEc&(G+kKxcNv}2-gvUr?w!wf_R-lke<>RakU9WKF zpq(!Y!f{tGRN6!-;=UI(_VA^@K(3w$?pC-ckmH*&>>xTXn!SAtEJ@aZSMU+21b39B z45=l{xt5Ge2>!Hll$whi!{f~e_}XZS1b@6C?2glrQBV))6%JnU-;k;1CkxFQ4gNi6 z<2B7q3<6=K#Rm`W12tKNL94mMyx|g4Lyv{&@ZFMva_b~J{d!b}B!UA$^TkLGTz$f9{aLv8ug(po(0N?wrNCsb4Gc0)Q&egi*>)%}a}=lk}-uSdbE zr35F4UnB`(pFv7HBf@|(m1MrQ>>fkmPsfG<4WViuf*&wR?)UTT+?~x8Rp{`s9*dS! zq#z=Vd(A2IlMoN1jkb)JIP}luBb;{3J3V(Jkh5D)nqC5)cqJT*BkLyT8VCZSokyn` zqc#hBxv20N_YiavOaAOW`NBvsG_OW)*G9v}dKZp}IPk#_ZjytZ!Bx6FZ(G<6*>tMS z6}BcWTzP2xP`!d=fFfn{jv?sDL--h)Sn9>?1RoL&tezI)Jtk-7$1Z25{Y-s2wH-ou#e@aM`>_^ycQ({xSaB z*m>SZ;%&W5Zp&@?_y4_LZ|Sm5I>=34CBmn!J| z7wte-3Ki|&slwefX{L>F`L{e#@FgZuHldMLP2p~O28QA{hr_76x*)~?sn|`jWHB~k z#N9BVib*5AfG=Q~@Dv;2?!|jQc91}zzWb5*;Qxt>hPf0EPpR*2RqSz4v^FBn-Crrz z;mo`Hj!!CV2>^96r!QhnubN z+w}dru)`wdYl2g%j$IPYPc|46@yC(WU9_TGtaAw_R#r@a2~e@HV0l5C=C9Dg5zko{ zuH(sQq=lhdP>!O;e)?4J%tmqKithF_RG+$d@CqDOkDoTkzZEWRD1VhRB9=Gy7ofWJ_4TIa zFDPkamPXKl=WtCKp{c0}K`B`X4ccTOAt62E&ICe|Q$e;!V2Q!}t8t64n&mRrM$H!Cg z@ev6+?n-?4!1A1yb}iqc!Q=V!=LiU3M(SNz$y-xXgMg4C>glJM*A7exrnn{;{QZ?4 z!ndZTi;xp__V-KK+n2NpAtNJ0Ga7jTC5bX`H0*rT`uh668yoZ>k{q6!V*$rDe1O`) zxgqA_!o|YUG74fQdFb>M5*jKiA>l(!ODiue?a#%?)xbl_dQ3nDg|E3>r>OHMqCT>gv~^_Fjhe<8sW9LW6AsXHNgnkP5Vsh&VcO zI6vBm9vvU=h8!WYuFkEw#v`XO@i!F*hbmaHP=$tumY5BYRlA*+w4XVIq90RH+8?c} z$jZs#U`MvKNq`_aab#;@Ar%P)rDwL*5ezEj)zqS$TwQ~^-m0EJj~*6iQ-5jFczT}D z_l_8>M9299M#B&T%zYC?(k4bn>Gsag&t;8_(hjB!*<_TI!s?)y1-|!8O1<3N+$Ep3 zG}*uPsp{!5>*Q;CT%Dzbvl3R$$;P214H7C_@kyq2mbY2 zCns&^!n!)$pFe*R{L0JEx9+;`6C%^l(C9t`e~-5Lc?05<0=r@l35lB8T2siKq9P+H zJUl!&*w_r&2OJ91($Wt07hjr+QczGFoc%Mw#W^8`C*rLCFmP*PH2XkzjO1hCB7@~>V! zPWt{mGB)vATx?AH39Zo|s%$N#mmf4rqN zIyMITrq`msc_JGEcK)-{LXj&=V#$mlPzs}xgg$`n3{D=rmX?-?Z{N@t=6e))Kg@Vd zT1kNsb$53+_}^lix-v2{>Na{jh4Bvv4t}Yl^YtL%-1y_0*RRvyLtego84woMaelaF z2OWeYq@-AMCR8uK$resfadYDXksu&2P|VVDGiir#YYo~BfK3l~7`Z4G0_?6u<>iuM zV$Dec@SOh^n(qf^vB1#6Znu7XA-Q#pOZxOF^96Ofs4|uOb*HSvk-_N1g#Z4&t&ryp zDJ&w-^0@5m=iqyrnw`B`I4&mPiM5AFnU23@<0*1^b1nGw>sQ;Yab{8hhxNj7aS2a? z_@)5!_KWG;a4RP#BCxJ5s;tzC8wgmxy$?SL2$1>YgbZH-)cq0v@AyFd diff --git a/notebooks/figures/05.05-gaussian-NB.png b/notebooks/figures/05.05-gaussian-NB.png index 2b2b1d056c769bbfed070049ca4cd79e5dc2732c..efd56eca8c02fa036eb5760b20d9af11fd35bc60 100644 GIT binary patch literal 40311 zcmb?i19u)#w~lS6anqZgxUu~vxs&g%Z{0s|voh<&nfJ^& zGaJv|&)#7QauUc0pAf*nz>uXRMSp;SfmZ_uDI5&&%>p&08Snz-AT0G04*2tgGYSPh z!`n)#JAi>9VtgFnvm4$Z;7cw?F*Qde8xuzteS2dtD}6^>OB+W^GXqj*V|xcP8*5S) z24)5pI?`W`j<(#4jQ@86gN?l@<2S^oVK6XKFey=?pRSpwS#F*`7oOg?9wzzIMzUl1 zz^ ztGyUIeE_|2rb$tzfkQ}{&OoFZusx3M5VM=eZmfx9dGoj$PWRoq-6h{Y0hbJ7U>6*Xt1~*b<@eDkNZW zBBT2$y3xgEpdH+

    uKJld1xD?1Rxn zW7;ko-%1aO;Cih%(qw+BsEAuxn49-nHvvB-@w^oB*Cv; zBk`C&3(^0ehJm5b3nw!@7*9(~O1iqqdFMUn&r=Act!(y>BbV5*<-}t(L2}u2qYBm+ zy+1k<_I%n;snMulV`CE~Iy}g*F&RyyiF@C2J0z0he=^FHqY4TN(sG#iR^Qlo-ZY`E zuD-Xwuc)Ch+SK)GRV43xZ&_PcCnYPpABZXUcf(~X%2K!4mdrHE zNoAfHxi7b{FmUVj+yxAdtode=2cOTK4J9O?4}~XEg2apMn6GKeo2RI#2)J+8*Vk&* zdOhB2-oV;!rbST60z=DRUbfyRfd{Z@x+O30nm8xNgB;Q)WMV>@qU+5?Pfs6r2JG_V zIYdSxv9Pc-ZwC{=1qmw-amG#oG6V;Ri!ejmDGRg9xz-ivW(qN4;B%w(#@9eJgS+De z2s9@rCt)};kat(}ezInNtJ6t;G!ajKI5w@QhDLhx``ZioQ0rOaT7RKbLLizjRDe)i zN($9^$HV5Zb03qax_a8jo`TSXJpqaNOhF;G?zE(BaC0zWaJJfDFc^uyv+ghzwYEvb z;|wR*4onwkSgBqo&Y2~5HLoNucCXoBp5(e0C($2_Owd0VMKI8?q(eJ9H%FdxnB}sG zPMIKey3xjQoefBXlo}n5qNXNoAleS_xNr=IqOln}AM=+xz1q||JzH$Kvkdk}lYq@+ zdtOUzJGTvtCeezCi3Pd7zdj7`J*?MlHFmw6w|!=0ly84NE(1>F2VIJ6+qd+a=6K=U zt#EU5iwX((Jw7jWG4Ma_VO{}(9>Hul82WT`C=u;8MC1}WKmW7FU;v@UZdbg<^~&Jm zA|q5ege#^#IU;amU|0Q^^8HqA!gi#9f+ErAgJTMZD#>w)Y1#Hb3x{?>;6zYJCxd8_Su5an@-(hZ( z)o`4IC~@)epXqQS!1|Fn)~lzc%~>_!;9C$#?b4-mb{o4G;vIbAgQ34nc4cT zw*3gjIxzI}=T8Mdv99;WKI{)Q9UatPpZ6CM%_i%pPi+|5)(uu`jd2+n1P{wGeD`<> zRPvN)aF<6VIrbY)OThiWfEWK=Q2|J=wLT!x^Yim)2tk*wyox=Tsyc2IK2Kx1%}2!< zzbq~H(oD0r1>T=f!3fwbyHD=y2k}jF%{2D-`~-b#Ygxc11>QZ+J728DqX|bcxg0om zBUw{9Y>3%2taNo*NwrfYh~2&{EG+QeFB|f{gKoU;SDNj}0W-j9-NaLS-n<(vvgE{W zxhyCrhoY>kOz3f16L;2H$?Em&=zO;7)SV-eher*Vbd13n36hDH!|btm3h586%Wteu ztMLb9!LRMSHDWiKCmN8mH_)Mg1o2}H=W%HPo`5&+$JPN$OD@lQ1=aO5Ve@$nx$iH} z))UIs%jUy#I|rTp74_Gz`R(n5zVMio)m|^o)-C%u-q#5^dQEFBr?q2%5N$tnz4I9x z8v~|Bj_>X#$lGTR4^S)`>0~ir9^DXo^h+qQ) z1D;m{xaArR;i|e`NhF}Zu%J^@fnC53kW)|?=bVvnSQ9Fh$nEzcG8*-VqJM1ubiIYu zoPr9a6O5{zib_U{{)*7wW zF0L3l9}SWjbtm^m5{~};`}<)+EHk*BzUKJ6xrv6NKqridGU4@KJQy~usRO_E0enLm zj|&6Xw{PEmDl3b1P_eQm09t#~4T)Oq{p!xp1+tf+#00~nlIu6AQ&d#!DOa!C$zHN< zVg;KA+`|C2s#Z^L5MqI72Nm#}JwI6D+=>c%gP;z;*5L*B z1j1uVN=uUq2;?+aEQzmD2kLFKI_(`EKAbpEV?p|1Fo_A%Ffy9X|l_|1>q@@ z3@|3R4hQ4t)=ip#D`9rKHnJO|Z|b+Q;hZLGPnDrm{Q2`sW&8E0$#c2W(a z(Vg40BR_rn&U-yfZZKOYwbQs}9l@Qgk7qDns%QWJ2d_zEyx_-Ol6PuKnN-qpm9pW< zNt}`_=XBToBvrus0V?^94m=k$V1d0yj^So=#bJlp9@bq}sIX>)!}s$1Pom@L-=vq% zoa3^y89v-c0A9o@!HwXa$SfCY(Fo33qC;nx)Z`;=P?dg!JRSJNRR5VcK<>g3C zYf&Rcy_W0`BNLQ?e}Q{{7=)|SedKrzKnP~1<9VnCmArofNl8hOgk16Y`JahBFMCpV z4H1I!eZB1%gf15b*JA92^huiYgzdRyCp!jY)PcmCu7+g2)MLESdhK&TA^0 z4+|Gp;*Ig^R|DX^$cpF(zWstPwJq%Va@IscO`Y4=m^>#hkae{?P%!J&`Y>PsRi^+OA!tW>7yz0t$|;O-z}m5~u)tz7GRC+LGy4GSk`Gm0T1p*n zfvop%z7h9uYXqoZTv+^Ev8+1Sj)^)SwbPyhY<(CX_4+N$>15*ZMn zd>=>zO}H8`*OK1}KGx{zB-IS9qNLOZTmVv#32!eyf?+3;b@FfL%Q@tK)YC%u|AH~FM&YZ4UFnQ4krp)IL;gEbiK%I?cIXFmS0MZV)c@aTU#d6Z=_^*a zh(zc)1<1#ym*SSK!b6cdm=(BII20KaR6tFN0<}AH@8b$|9PP~zuH1qI&eZ(#yp=f`v1Wik{+!0jd zWhkE%n$)_FPQCwyRHR-SuuznEFw&Xl#nxl=eO|w@$wAf7d4TN&7BRhrtOKWo+T%TY;0NurOJd^J>+3DKGP+?UJxLC2S?S+ z)u{qyYiPE0(aHuSVzo4DUEc{tS11I2L|6UYOsypCeDq&)s@CpIS)`=Da;SC|7fR-R zqE27qUg<1LUN8R{E^dUf?ib=){q4w6yb4#?JA_!?1va-4$J~7HKHGZe(x729y4&^w zj2ea*@McxK{JIZ)Y;D10aY$DqV!?8d1kS$y5rbIW z9orasCBR{pOn9ykZ{;jDj%*2@OuOpr?0VraAUV0yFi@YPaBk(yzkV&`jg>k+BoJ}A zQo9WZ3%~*B@vn6IE=(x>~>vv1~1`upCrg%IptU#_Ct5+^|4CZl_162 zQ-)?&_GbqM==EAl#*|bM%vvUA!8d7k-ZwsC=~`nj=$X`|ZN1$$$z*XSH8!$Gb01U7 z3A{Q|%4Om;Y=u!}4+D@JbN>5)EhSzeYDY3oOQ5iQM<4jn(Z+d~5!~11ABugn+B*xF zeQ5PA&uVX=Hm%nQb$IiQX^eA)+eXJeAy(p;)6n`R5r?{U6Ba4vvEkURig0g`eS$6c z*whr2fB*?t)7k{!f0ye_t;k%yn83ltafhOQCKBe>+oT0tEEEL`A2$2k!w+rkV!G9BPrGENwV4Z&ggJ5 z>jMWJ&6PZ?+@H5yuo#bGAs`?$pH#M`vYGvW&?uEO5hi;=v#?A=W$KG%=mvQ{k)E98 zf0FdKJCF?X9%sSvT`&<_3&H>A%zYUWxb9XRYWMtxSA4Z^#sKSQSuA z*^(+V`*mzQv2svUb2Z$L%nYi$qazCdUMT{gZPdczVsWbv)Ps$U4Y*<**KO#|t0

    j&&8whmBFB>=>9O1yx)if z@_c{U+PZiH03+ZpV2wtX~VeL&Bj%(kf!%eMlBe~kA6dc45kQ15iFY|6>UgK6yt zPxcXRq%!FXYhC@RtTX`- zb>}FCvd9KM&>eTV_IB2^bwKj|2pdA=j3+^82L;ykyiiqIUJmsi(+-4odz&5?1D5Q& zww$h@tD%J`5O!XJvYexpS)6tDt>f^>({+p?p+`U7+v^Yk#zrLLH~leMauMfnK(bO7 z<^`P^PD%FW)twc8mz1~d5>D4G>lKA5r*ui8)|HTO|ovCTu#HIoLP)RfjO zgWGx2K9_guI2Sfr#_g7Kab3IrBzqe9fV;hb{_Ud5%3cd)$3uvTZ5U$f!sOR}e5y#4x2_D|C!;&T$v9lEkd%=w5f9sNsa@onWDF_+8j z?TUO?X0^YtfIc<)2CoinX}Y*4D;%kFQ%ox_jUR?II@7prL;liOI;`{Cm`VCNN;6>H zoM(2uIzE{!MAFcppiDtuck4)FZ=OlV{1NbT@spfx&~5}#Ce%0D+sDt*&uw2Zzds99 zd+*9Y^q`p}Ois8|{gptRI*?G!#Lm*J(bh=FBev$tK+Z(LU%;6x`&Ba-oi4LD^RK$7 zsY~W1Pr>EDy9yViT~%SFtwN}GG^%hRb2O>TnMv1hxn7g4SR*TI?^)igMuAIg4mir- zNI}7St&@{|5n4uhhLO}+nsFy-lI?&gm%le-@TPuxaQdlF6SW*8_Q?+Ok5??eAgb3$ z$?JHk@;8WIwlfR4orVEGkoN3hfTs;Dz*8u;Is;B$ajn6W(Y=2zckxY&jx9shxg7yv z@2=g2(Qm|1xcjU;Q9vE8bpf5eF=s{J_$oUczm#klC5(G z&hLY!uST|)7@^+-x&GdtF%CLY)3UZL4&_%-?v9mmMcvb?ov?!tGB_uA!Gjc{n^|~4 zw?wzlt;3$Rirq{)rooD@+>K_BYGmgcg!*wiH%G=Q9dYzM+NslZ%e35U7vBSx01ktg z3h)`{mw&!KsfR~&X&E+;gafO~on3)XN~&Eta~6>rxwNf=3b=eaFp=p&hl@eUFO#nD z=$VBnmix2%iTZ1D*)E?bb`AU?<@hlMTNSQ`W}&f)HvLfAIF4;wch=X6IwO?SYPH;Q z8RyBbwEAo8D+lrMe)RT#LdD@z4HV#DjAQCMbvD<@C7h`=WL4UAxY8OL#1JaG_=s|* zAlwO3+x4z<%{Cylpj&DnxnLsXVqy+e-eW3~783VNS#1_)3R~lucJ@i(mUPC5$h0S{ ztfn_9ho;ig_xKr79A`|7zStaKryx?w#O@mEHyP;X)z4x<%E#-#gm23@u>Slh$uSd( zKC7KtzN-~Xwg#lj#1Qu$m34?C@lW>V6E@0qnj!?Nq-5mUk_K=m@N1plE^f}WJaNKo36*4{x_sG#Fda-8O%*ak!DYPHsaw_I9%2UfOkeU;j?*k{f{?y5M*d?VQg z>6Fm4eA*g@ZO&5Y4D>|An<3kQqy2e!Oo6eeDXSV>sk$26Y-CrktS|?6-%qM*geJXe z)!JB>L$sBJ;f^y_ISps3ew+O&>X?hDv{)|3natqJ+S+n7Gx}`3Uef@M2YGV)l;%E( zp|Qs2)yQ?GvdGtx==jiGv_TTd%+%6J@-n!J|J3%4UDzQ3X^Z2C$skbN+FG~Fl6tTk zB`_F<#z1&DH)ef(FS?yjZff$&NgH)AEkB9n7K6uFOACuIExyg{y>n@0d?k%+z%ASG zq+cTEjcYCIdim?&S^MMSQ2YJnVRNSQWENjm-%t{gdWNp2Azz-tX(EAew~vncP}5Wv zm(iKj7nBgk5p0~%t=dNMx9o;*v1t_aZ$<>EYiDB&L^BXOKj4Hl@+wVR}6Y2q3G@{X7t}%OrzSP zShCB<0`2fTP7~$wyB^M`90@ibQrfUxhTQp4%Ls=M%vu#bvw@=C6 zv%QV!qh!wry_Yc|^J2S{qchT zR-m$99{RKoUvF)7m&UgX@!0rOujLhDT_YA!;ACrMCQt;?rB#lM%eYlpu2J65CMQw& z*ebEGMp_$+)ha4e4AAls4Ms^-!0J#pZf(wr#ud;dTa?U0w8}MzAl(5Ml}4f8`szRdY9_Q5}y;* z;@7-xgQMpxDrpX9rMgIn^5qqdB-PI~Yx*EpF1dEYknx&QPR>N=Voqx3i)0QRm1Lwv z$>b}BzSy%>O^UUj3V3|Kh)t=@hFx!0IGz@~OQNthR#EIP(7phoD3JImuY5_d*Sc!EdeU zh8(a=7EaEA{kEW>iW(&wn?S!rB_dir0%bVpNCk@mwbxve?*n+FTST%wJx8w&tl*s; z(WcUjMU`b`nu596x!h9D7Rs(gj)to-kDTzrB81(mXScs$%AQsSY~q7q=By15YC@RbBQa|<&m8MrQdF3ckVSl%+>PTdzE_ulQzi&~xBQRI2;O0FeVVe?+6pU$^Zf4fQC zNd5F6NU8gIw(G0nEI>U?2$^xv$u1 zo8<+%qKDq@xbu92(OL9a@GT!LA?YiMB1trHoHD(k?QY$Fq|-x0U=uo5t3kJL8C$N* zgp##;5&wA;MDuWm@mOv5iax0ybaq)aOyzfWuyhzU5BEZHh_roh6(SdZ#G@Rhg;3=_ zU7>i~K|JF6XBIVp_$lnp1A51EgiquuLxbn>m7K8-^yG5+6p-nB`o$ZRRfngVOycD# z>kKhr!gaO6R9H%b&cg(_a+K6?1R9;7pda1wev@*`waWK8H#f#MnsYFN%KvU)AA4p) z)bGxz)aWP$MdsMf)oOjySScS~T+fJzA^h~lt$K2W91>y<#F6Dgf~U&RFGaLP5XVSf zWA&Jz>q&nJ2?xX0I}>|6=d8bGoY)mDPdoV)2TbpI(sqO}z|9nhOe>?(VL>5lCx3?* zrY=Ok73r>;S*b)vI+hUt8EtyC!H}Z~{sW(W&3$3k^p_#j72OQo#`gMaKT=b2{MGEL zzHy|R{1D7T57>07_x4ojADh9$l&*(x+^yZTCH}pIuGi24%Ba(uY>=l}+}S3*?${_y zqpYq<{O8c!q7)s2^=7-ol$4tj-S^fh=bWh_Xk0BpAaVMUB?jU%k*(n>PGn^JktuoN zD|74MiHst>C;~?ENtEKl=N{9w=F?&U*0c5u&fQVntA6PV3yIf7p&pTpo_)_0h5OWdpOCn{U~Yay*>?u?5SRXfnv5Yhn{2 zs~85^2LoF26jeKAH{Wn*YVV2nTh&<6l(iE+Dh(hxaX;Q~09|s7 zT|K|Tfq%QB2koK8)Lq}9x&ek&5jBtLO)#{p;*qhd<*3#>>tuMOU}S2f#K06*s0%r; z{gq8AHgO)U?l5s%4q5+*xu;=5GlYznIfx4lX=ZkoxS_IcZfq#Wni3C*Ssx@>Th~gp z|Ba*R>iGC!xxFF&v>fRmlRZn(xaPIHmEll5i{0Wg6`|^+1c^<4MMr{S5e3#E?%XWa z-o``I?95J4DQU=+;kA?<;w%f)q&|}n2ZfmUr1cgGj|-S^D>kfu!}-e9e`^6GR6B`o zTEQO;OtC#IGIkDT#-~zt9g~t~4c51e4z~oZF`C|*N zJV(n&B4MW+nckE&7ims5j4^r9+Ns{Z+vlel?Xjyzkk?|@>o(;rXWmJ${^dw<7OW?6 z4sQCVZ>t)Pm0h==-ma&=H=eBq4{XYXI*TVA*sq~7l6~vAaGh?R87NnOf#=uFonns| z5S6lP;sSxjZ0bA*q=9TWn!m#E-^blz+lAgI%grAnvu(s*jPRf!gdDYZD_j;?-%nV% zE>7y63EOIZC!q>FL-a9m+K;Nq@xO%*H=+tW`RlIV!9l=5J2DYQ4v!u_2jR}FrwS)X zlkM1$tFCk3`Vi^d!H^pKCF+~ z_>4}Sdwt3g2#q;+=)CHo>~tBjKkvA^4tRy@3kH&1*?b<<=jfv)UC*9 zXnX<)52KJeudgssL_FOWDIE)<0+E5fL~D61V&Z~0IL=WnM0<{fOG{qFs)e3!dh0E! zU};A$@_EyX2p$%W+^cMC$XeDy*4a@WZ|pc^b^D(FS}ycucmxDWJu8>Kbd-%o>3JRwW{4czqoq9HR!{E-oW0y zO};6WL`J9?2*VM3pNeIB9Gz8Oi0kpvao!dF&U9VJGB^M9bRsf!A6|G{-BgoiEWbWv z^S1SH*_2UQu?YN2+6jp#`|-f%zZvA6u!sy+BB=9`;ql)7Elenm+D%(HF`P_rST0Y* zK7DC1t{Y*Y<8dCIWw~l6mcHJu)x0XL4h~^G8imn4xraOJ0L|NvE9Qnhsa7s@AXAWb{|B zl2t;$g>y?t}g$8Jc zQ0+EnvA3-b4-RN(Xyyl+uU|joApwk!ut_9{HUftpNUwAOOOiylhN&Lmn#UF-Pp#6z5Jr(7&jSQrr-HD zM@wgaRCYe{1o~5+q6~j!>BiwDZL*M+g(UH5h1Oo;vb@Hdoo%IW@AXFq-6o$bw^sNc z9H`hk)KPyOjyUdLm|q;?b8a7&h|TINK3E)nf7fn+@j)Vk;?n70bd)um+SH(orjJ{B zbwFlu$SqJtaK9tYS~Teig@ClcFt+lmw7ti`pVZMtb{^`{eMlIKa6ORUI&5na7(P!I zmuZb2FgQ4jICR)|DuHKjwT4GDe=L!Q|-Fi#u5VJrl~`D?Gk{phojQ z|N7vZfT|OK`QN)5A~~!XB92%!-E4Q`1zq-iFv+}6dkG)BT9gkm%iZ0^J_&}bX^G5i zdeS%B9cYF4oQdD8lsBs$Ibwlug&vdoP4)xOC3SjlblINUR*RKeqUp3jPo~6U1@c{T zO41(l?QHTPL5%!}wZ~C0E&qDS?TSXNn2V*v&=G=~-+O#+wx6SXZ|OiMBe+~ni#6js z7AAY#OHNTWhNG=pOJf`V9JzN8rrso_&(1eF*c%DwnZc&nX6M#BRJXrlHqQ#&uHr%H;O5F5`vak@`5L9G5%93cl`}ObFt06EEQv&mc8yo12darH~S2jG2vkF1^$F?ZF;&Hf%Im?9MtBO z+iM#t5=cOx3-l`tVMrg!KrJXI)T)jLx`;~d&*x9>H@9_V>RsMSB(z6K@0}BWmNvzf z96xG$)~m9FH$xwfy+Ab*SEFS%XLGCJA!|wg0%&@7#|^LEHu9D#h?s*9S-V)2d`hu9 z2#R&8CB@%M3bbQ?bY9HM1?$^B1kkF#jT6L4wq=h0^mdusm&sx~j$I{)iN{#3SJdF& z9U@w-5yv?ooPA+sEut#?^QX#J+x`9u^sq7I_BIi7bo>3GcFc^Ns&C>|K+{$7kcgqw zKRKMgzP@|0!am+q{PfqBH>M2|osQkmC7zlr^63V70rK4Jj?oO~FmrYG{I@2>mZt1+ zM_lNZS-uVQ(-W4phNf)9$_~hwr5Gl^8bWN2i}o z5MV^K9$t%F4UzgEMCZEAYiwVgQj}sDUo|@DtM!=rb1pm*N3~xwa!gp#QePUB9v^q3 zPFFOgnU;OP>ovv!2X6hmEi9gdy;DDMj$5+Yw#4!6*SzwPQL|I{*mEmZpP^n?+dDq7 z$NdB~5ObMVB#n8?sOwv=8zd&rZGTHZgUFF@ zwf~`HtZ4v`-Cx;)Enn)%{P`73#+iUzVg&r6+O}a3jU;3(2uzd-8l;|!uU96->hyx} z{(R{mlgSH|7yddqJy|?C)mU0x-ING5APXEvxUQno*{hA{oVf#U6Jx}hhYMnp6L|YV z?0M=YOol8fUnlOnh<)WBi_dop_DhJ3^xu_|@`BG*?V43$41=+eIy!4~n(+7VgkVb4 z&BT8r(#XgYpqDh&r+>S$fx={iQS`gLH-`$Ts=|g@QNi+LUHzej?+|DxLJ}n@`%~@s ztegY5aF;1QoxM}m&1j)ky=EGbf2%liikhTZSfx$swmM+7I(X4V_}t^tXy#;;mG7_t znw#@Hl$p>)6oaaWP!x#T^5LKgp_5Zm9=UYeTwG8qsSs5n(v;*=2S!af{Li5^iPCZC zg|o7Bj*l~jCsthkP=xd?R;>qNCwaiZh@?(X`U^$f;~-``vj)%HiNNzXcf_Jpg@me! z5w9@Y!==j-GV3D|@UI0-l@$z3gUikhOG+126p-&^vt>*G7`3u>M_4?1-6c`e&=65T z*PR5QgwS&c*sTu_yE=0y1ezlYsGd-3}j18i1>iDfhZ z5cpXfI`*(!xlYP|$W(6pn*7doSXsIB-S($%0R~}Pb@MSb-3+J4IhF|_ABubkw&xR^ zE=q5xb;N*y$s*0rb;Zq;!TNGsA{MUgEWE_cD?ueGqs{v+&lKM~H*ri=Owri`tn1%x z(;Brr*Pn11M8_7l)Y2PA)%yLvb%-|kQ`P8LFlsuq#rG-WZKs_)UOFFM{^ZdyiD3~D z)eap>UV?_AQI5DBDAaB0S`;Dk9FEJG%QcjU9OQngm~gA7nK5r}q}Yt}Wbt{FnVFlf zm}2FjQPytkvn@7Hv)L9u+Z91GWfTPI_bz{Ca2nU&FSGdd>lh_wiH#}4v6gjC?Xkj5 zjm~7zW_eWP-8&6%>}u<1k^u^2y|YLMDs0G+u|31HpIPcyQ#teAt^c43tm3H#nwt~+ zvb3gPi_la%-|g#yXX`*-{j@Ub zcKi`tUi@1vw#56!V#`)4v+FdOoUfswt{v|)Fgl)2$Y(@ZaQeCG8r_|^GCFWZzExm# z$-VRBRJ-;>AUbEV9ZiMwVzGQK?cWd?M4wJ>OV0#edj>d97fVSI+a`LK6`{v-_;z#G zoPcuLVfe{2s{rpmuRFHX;3rYF-B^l1xl6QY z3w_IA>dd?&u?l_i0D=oiySC3;b*$P7bwi?F1*8=6=K}g#_z&;*FTD3T3!aZ7IO{ad zlP{}Ro`&~GY;|G2`g)i(9-1|iX8lr`_#Ake37;2N7rkBwHogtIpfie7iTmz(+i~ta z*6V-i3`nB`GJ~R*?#9=few8uvx)9)(j+8@Rj+ul74LhPIP-v{5pvJ}}_y5oyI4oe_ zn4K-VP<#4N(~KUDj&({cFkCvP58FOTPF?4pKq~AZm0DS@m?F?moC>Ah*Vc^=;p$?s z6!T`3?*w@Kn&i7N;@_%<)~!m^Qi%wPV9X@An|3LJ|8xum#0f=w-|w+-52}r>IKU;N zF!Kdcn|~NV=`m3sl2amt6wrQNNO8sWsm*oNLho6_hR^<&QJ_=|^MxX8J;XbQ&3%>y zMqKn>!n6!uSk7MjpV5IUZ2eHhiMuCjKB6pU;H~@S%PmoR7G*op>)2;>N)C>Q3tb0Q`dC#f z;-r2SZgy$ONpuO2<2+`H6-8x^z@8>Wn`T1w>*moSTTO@NuZp%sI!z2-AOBgdg7}7q z+2Ap^PWT1w(oml3@v|;8GiAH^haBcBPkvkw$hpS^B6rXJS}8EYI=>3>^OnNILWKbhtPE*OX}^;qM&a^uI( zl2X=@(vQh2Wkp4^BUaA)y(j|ZSeqjfS5@zo6wRpUm_o4W`sCl{Vk$3myN?OdA8lVv zA0fTPqv#GoX)pm^hlH7Z?JZ{eXx^67V^UX|cbjXs5sHdb4u?#Za$Yqr6b*;zy&L(E z5Q{RQT`FW&`Fa?$?D6Cp7v7O?`s9;_>*;S*xAy|sb+@$zAlyeOK`L+w%S+oka}4=s zi8`}t)OU_F7{z^xnnC-=^(Furz)<>4>NT8B=^8I4Y`DEpesuP=+D1kL@6{6%73JDZ z+4B4^{>8;O`0h4vo9};>vc2z>J6&G)jZBHu_-pmR{JpJ)*Xv=!w-~F2L}BFud6K_( zw<_ueefF=EzQRL7q&p{PnuIAsc2C&}&w!y`Y;Arzey-Gg7*Tn_A-gsXSD)|C%lqQ%IV&tV27QKh4q=B)0hMk1tl!y+8vZ8gXOzO{# zRwwre#2z4Z|2zewN>$fi6Nfju53tSe7xI@08CA(SJmNat*)8xL{KyF~)~b%y!hKAa zPms%2i>YpKyC%gkEjFjxyH?X|QG#IQivcI~gfjK|you0@xOd9b`PCYj7s60L+Op0c ziSkV_w#>)gX8nw~Do0htr~7J1ra1qP|JG(*@`jV>p34>>Hrt(_ z6Ic3yv8MY84(92wE4!~NCPEBONZX6t<9_jnTJ`&m29edLbQE@2wubtfz0oGu`~3#C zrh0N;tdgj)sjLBP+;RTg{8-4KDb)KfrMfuL{xXi?O-91-sh<%_lopA<-)do|5TvK) zHYiix5Yeery*hRUeR}mH)pR-4A31y2F`Mv>B?wI6^EheVeTb>v^FYMo`s0{0#EG}M z%Kdn`JN3Jwvd@gc!12nJ|Gho#F2^drp&%P8Melh&4)9nS;yC9471$m#PRQ<_Kgrmb z=pOx5*gZEV#|~iHe$d!LB}liCUzLnnw~+ zb|MmJzniLW@W}6dUE^s7on5IetEf*9acFnGC!m6zo&CKTO*9EBuAsl#kBUbIbeg)h z*61lXIoXf4$iDil^mp=t9jsEfv+B1~*4UoHlT63c?e#8@nEGs=25cwqf&<6toPGwBvtvC0AZ(C@d*rvFpYAaj!^I^SdR;G{-0E zjHit@>EzjY(W?_in-d1JCiCx-!N<2$ii2OQo($)u7XUdUEAM5bTxC13E8ii}3$no!s zRNtqMd!fZ}RQ$_YuH4t`(_XaiMjH$Vq>G(5yK_cTG~Nocph;woTQB;0$La4%XZXMh zn0B|nV`9tZzyDO0G&E#Mytl;12y8?an`xWHBgt`J;VpJHW$Q5oP8|*zFyEXylr{ea zwa8@8a}2n7iC~TqtNB%_eu$Od*IW`L6Oy3~NhzO^#|vbtR&ayU#Amo~EU1Pk|&)j-q}{Delw zO$jvi%M~~wGIA|)SUXh$`p2%>WGU&b%;O=i zVRvm}zLhfUd`Spbtc8yigLJ6P1DMw`GJ5PtPE>TI$XmfH1mjirsH}0WH(TqrHA1Cs zAW3`C)e@cgQz9ioPQyIig!J^=Uji~Q8JoXPxH^XkQ;oO3L)(uVT=L&gZFH~pZe&sw z#7)FqW_7D3dIfT{RwUYY@{Y)+dEjPx&Xeg0y+$RGL}2s-{WrG4tTBG22Shosvsv;5oN$B*CB^c~JjBa3s?RV`)fcj0ZhZT1hWGJr zK;clSx&ly8y>>Qe#G=oh5hB}ivK_ug@8Ry`6u|T5NV>Nt2;?AEp$kS~OJKRpWSGlH zUbw2-@6gw1EvWJ0deTY=gEspxT8`sc)f)~9N*~P9{i+wHr}Om}YthLN)jky&*OLI- zS5|gXJn3Cj@&WcEgD2qL^^zt-IhpCjQZm7t-Pq{-<45MpczBJ#?2nE0=l4o|(*fdp zm4&$M0~1hlTyxeH6`co9UY<%xop#@XbUTeXj|#!+p6~BKDcU zpDR6hRS1{jFP#j;!zWt?ia~USaSGr(ueWpRt&TK6-6+udRPA{5PW=W4dq(88avBqpd+*Pxy$B*1NHVYB0FJzUE;>wOX{Ikqxuy*#Vrlt{hjTbbQx)q=?$L3k#GCQ2%ftqOQI}-(&P84}#s}{&aZj zqiq8y9F)9ds!qrjV#2`I}e|X!`4wnK?ap+3z{!=;&C}IuK7)2P4J&2S<21RApNgjfk**Y zyW)0}Dqts9t(cO-!s zCWSHw2;d~I5Q1_&Wp+dsJ9JjUWTchO`&_@sq76Z!@^%AcE1E+_vDtVwAA#&#^YNcD zwfbK(Xiev3A;nTN%hljO+0*SC-_L;W;xLJc!;PowT(^9)pmmvY9Eb5(kBEVBsUi9O zvj&ox&CTGUIi#MS4gC}dCo+mzEx_8KBfJQTFW ziyW}Dgj1id`laM$w+js^iFQgjnf!&88OScaY5#ROIuFo5h@uE!#SXeVEgWyv3iOY~$6hdBQ(r)?_zG zBXP4*j6>{MAMQI9J?*b|4CX*31fuf+aUEpZLs2G#(XTmg-wn#Y;UPWKFq}r`pjLU`gB26cjNFL=!i>AqE)RmU-;9!{To_4 z3E9EH0qCD_P;0W*mI2qS|E1W^oxyIkO4g_a&Vo?=Tk0N0n<35oYg{BA*@lg>$NoEo z$UIMj#yD^FtpIMA3ky!?djU*CUbtK5iKx$MUyY>pqFAJTihy1nT-qW{wicK;e&H z=7S!A#x*;jA@maHq52zXSm)yCsD}q*-INg>jiTeWk8Ry?w@7Avq?%Gq3$%(Z*Fpo8 zN}en;?Uheu!1g$W>{g}|TT^)(135@upyj*n!8KjZDFiqYTI!19;tujzqfe$TP;<>7 z#)uN<<=~2a1)@55CJHqsmT7vnw&Rbo9CJM7aVZlf1MQ3h-oe{S*Og^GB({#D zg#WqnQR;YZJD?Ca@NUW>msRGO{gp&7G=*RP?LYs;wu=bv>`XzO43a}UD$!6jj1tSg zLbE6|DW$AC>NRd!Vg~2~zk2fg5Px5!z2=L~m*qAW#;vDG7uW3|+>b88OovHuQamL4 z88KWtpoQ{F?TRkfsk0la)y7vb%hTn4`O@*Rgrox6uX=OhY4rNk`4m|w1c&2kcHJ*i zoaUd~?ia-<56siS51g5r3{x{w*~ufK8`(GAOv!&wLZqj!p#}R*2joHvqUy2qlqbk@ z{tMfGEt=bvz*G^PhU!HSUz$yF|5LXh!~}Ql7;uV&EDrlQ9PFGSiIE)YH^4*R9%oe z2lW-eLGkOtZJ0|yS*eZ7vHhslAk<>=VSj7Xa<+^QVwf-y~y9(-`f) zrY2xlG5lcC2^1<<3&cAibjA~qqkOHX44$xx%|TUPahI_Wi%Hn;DSXf-VHAs_7x(p} zowS>i1_-chf|jRBiIr+&T$4I@z!iYn)wOIFuf{uXOX6xMWg+w2rpt+C7M;C)){+RF zmhpJ`FFp40lt`(AfN~$}Vm-l#aMiGsT3Vb|$_<}Z<=_U*3cVTxLUx`*FGD2xE)eCW zFV$$4S)FFfdHfvpXd?5$A|5!_A}4MT#bBr1oZvuN6%H*E`6jb_IgW5KMcMBerVPE) z)L$w3?d{PuDyT-);>}h79gd==o;K>T{Lw7*Eau+YKH_{DE6nchxbu3OPANvqis`I8 zinMcgr|^>wQXXSsIA81SDda+FYyP`tTL^j!K9G!kdpgaq+bTHWR&J0@o!~~<=-&QE zBjc}^@(Z49NH&nn$n^b`?b~5ocRF!^izFL6^fo*xNx?&&B&d4*KQx_V zcwJAl#$(&IZQE93+f8HJb{pHa)7Va9H*Rd}?*F~d{ct{>^X!>3Gkexr@A|zPTN;S0 z3zR_^IU$F$4SRX8{1fCclLN!(fD=(M99lmc_WesLph&HrHa&RttTEa?VfD-wz zumqAplLjAlO%S56w&ADVrB`s-=bI3aJz%Budbhvn$o899e1;|z5hGngwYLe{+Z#%= z$BhS)h6EV9*V_|vxCK1k%?On;P=6LIM5i)sGoq>W@u--MmfhvBq<$Xk*6ZDPzFFpZ ztbb3%LN@H_1s^tPV|7xH)z>m&LxUM3iThRRa3LI|?(y z+TP>%d%qZa{AR{O)}`vS;=NvcoeLY`(u8@!S755iD#m7h^%I1XN>=v>%`=`#t&|*c zIwjj%xv<-xPtfhf2pf6I@ZP0Xr0=DRTE;|uOUPpzV#M3_6!;U?z3ak@%EOOOrTB|5 zZQJN>Cr?+=Ox`E&-WbT2WLe2YB2lhNeBnD&P9YyLZVYo&%q^U zsfkQLX>@6Hi^*1+p949;Wicsy-`bzn@x48CbJ}VH`Py)FwD|tGvRp}b;@-AqJP>+- zQ$#pJgI&0n$eLv`h2!ONxwRpfa44c5eN%{T7Pko@<`iu@;`rkM365hUzZwJXmeaPf zpa*n4)8fED3d-C(T4-EvKkj5yZpD14B4jU8HLU4)Ls`g_f%xNC$m+tQze+@BGsBR{hPYk&)tU!f?PsEXM~Psj++IQ z9t2?NAmF^bG)i}vMYtwmV2r7&k8@lSw~oQVSfP>oN~&gQ-yn^UACpQLC=q-^pmAt(jZ;@2n>#F}TH8?g1(Lwh z$>cMTk>NboTcG;*@98orW|GlB^#r%FtXnuY;6vQsdluc(dr7YAAvYi?<8sfAn$T-* z6e;W=UDb>nP|EBKoTL&aI!f;w@5$E+{GfUgZpd68(F`td$ZK10I80l~5hl6R118Mi z;zG?B=u5Lp{zwB=9J-T4a4A*HDy8G5P9KrNogspgJ!4?LnyYT`WE#@eaul$m+Fl~s z-Z@Uu)Db85?7j`k$R#Bf*_B)Ra3USq_SpH(lgLG#0)G=4<6tp*xt_iuofd06eY>$w zME(n&6(_V6EAAH-t*)3%!NgQ(wth{58$sRoH&;@y|8#rL$n?OVzJPLLEZxMRRm|*R z_ChCm5OFO0JWH{p(Kqs0Eq#IRBM-zft1_Uh5+Y?;IjnJy_WA&*yos#TEnaL>nbCI-NNSwLp=inAqJ#G987TV zPh*C1){$^Vs=E2|aeVZBd{YHh#k&}7G}d1@67UHk(C*!lVS zt&FkVt*`}Gj@i#IGuV%_Gk677Ty|#NjJON+oOLwLmnEU;PGKNY(!-h9?3`xP$a`}a!OntYO$kT-d zNH1K~mA-xw7I1L57)Yr&G;>W&s^t+iH3^R8m1Ru7hU=)MfNHDMqDnf(3#MfBbJfC- zSoOGAbygPM99KyQ#W*y@xPfUhR#Y@J$!HE%R`2>hah0Z$#;n^h8~cYTb&mk`hP^bF zs^8)4Tk(?CKR@RNxOC3x&|%YfTK+UfEVK(O3fWV>@Ev5OvJvI4XSAyA)#y<(FvRUQ zNA@qzSMuDqg{3K;9ube={DAMTS4AsNF>467^BQ|?Em5f*qvT`m_x}n6Ro^=MfI&Ek z+R`axLLefVs`|_lq4pmfMh)zH!V9Wv94gZr?$6R2j-EV{$~x}8Gj9Kj}SFexN5qUSzFO|~Jc^CzN zavQiWt9HMAhK!q=&f`)ydVf%(+R1`gru@9KoGq@99oWYT>DmC70}E@Qj=_(jPG?2^I$ur(_1J^Q47O^F@f{+nxjejU!}@0fwGhx;kNL z8IG8z%b+@`qzq_6^ndRv^Ez5Wc64*;_q>^&_U*g?Ar^eA5-&|*_*D-AF_amxKsy1g zuf(e2;R^Ku8&Z(G#xOQzf(>yjgQB`oz|d~Eb!DP7l*2)AP zWwh-Jdu7j5QnHk=Vg@!HzGO;GNt-lzY$PGsA@jjYkoXJE9lHBw^~_TNI`KTIp}17k z&5YjYqQdyJ9W~@W9w}j2Gl|Z%Yxsb|9Fj8?qiqKQ2f~u%k|jgpw~}Qk4vejB=zUMA zl*|>huBE=g&cHY3-iQ_KjK^C@j7of6ualbD_WSegl#ua7MzJ%00pj+}zYj2KcdtXS zzdLBV6Bt6Kk+|r``Xi?;(a(e@KO1ycEGI5*oW5>3^_%||w|k=7X3D(1`0kbMVEYOi z-oQYpc^+5^AODQYyIYnvGHHG03E0M{?KZ~J$w0F2f5ITmx2{QW?6^XTS(7mMwh`D{ zM=mN2t*#LT8?(g}Tf@$Vu!qM048eGgM0U5c>K7Jkk)Wf<)FM0_6cc8X&7G2Y6E5@o z8JAL98W6<(p$3bAtm6FlI~}cK>k557a}<%NjwGa&>)%XSW@)2U8D_CqBF2pfs4S#x zQKei#M3Ml|&9ko?EC;!(Ka%OD?tul=JKKxiu-N zz7T@z0l4VAV%VIbiJNamYQSvvhsE3az zw{}UlE=Q`L2Z}N0w0a3oM}+LO*^oQduTN=?3ApIF6XZub_vu-qC!JYlvDM91FP<5f z4HJwrm)}qgTSbBqVJg{~zaAw%KPG&h!IQ$9fZD>3Jl2pC>hvxiy@dhcF5%86F!+A+ zKLP2}1u(TwE7e_A)t%K2y~>QV2S&Yy6D_@-7_!MK7>J7BGK4D9F`srKr`dQ46w4hu zOC%)>NT~4E*2DzuB=p7ML*$H~wtbirgkEXZ`lWdOBiHZ%ser;qpa0s|0p?I>A&tJr zmfL@zl$#!PaPT;l+KDqs00ZXAH-6vY2(7Nm$H<|TL3@`)lg3zFJXu`2Av4KBNtv)AX<8mX!r_!DxATqbK2N!s4-Ve(AF*rdH50?)U%3t5qmu)2&}9r;lMs@opN(C zj6Y0G+C%HxZE}-ULvfpFTq3NI7+A4;5uOI-RgHY%F>;Et9=@8#4owUsqxm7KHvyHY zyj;D@LNa@Y&3FdtMsF#SBREo<-X{C>G}#-&WML>d{bXcwyd(l&kl_8Ccs0OI0=o6@ zMuk6h7D>d8KwOaq^rL)pli77-TJ7%rb%r;~!wzy$YpW;-|vhqVKdhDm{C z`zBys8c8C<&?B#&Cho?&`aLnV*lo$?fr}4ZWLbIPVf&99THF|#J2dVHOz?XjZ@lbB#dw>06-7I-`{;fH0unf0s2$X zV+N}kl+V*;Npo|m$zb>mfP%UK*fT?KYKZMyyQ0e{7!*HqnV?ol(_fPJQvaQYF1I>Dm~n+od2#|*xne9WB(AK%ZS?|md$XeJ^~xGV?6{KRd)Cl*Z{R=h zSY4)a5KW-&uBMYEtI19#Bda+$C|C)Z5&1GxfjtKZh2}sGSSDFQRTVWs;1&i1z;XO{ za8(<0VZ{s&{D*f6hJ;ta2(zp02$xNvLOikvaQW*BwSmE)Sk`?LC~o_J<5gMHa2d)B3w5&5_A_u0OAW2cevFL?}N= zAz=)q{v{?F*+>q5aHUjc)^H@!uBw2bpS3@;U+64$d@4Ubq*qw1x_v84-Ke10XZWr* z9)Cg(ZF5ji*eta`c4lylBrUDjURvh*v5frP394MIms<5p%H^XFQBgu-V5-Co3Gq8< zFG-UUtQK`Mw_N`>0Mhr@(R%f}ag)s|VREfaO)d(#WsU~IJPZj^b_zL>VO_d$sIH-w zX7q)Zm$(p}riN2h*ccrKOfMAsYf%_O zjDn42DT$26QgARRY?}PQMbHrztYlKBL{KsYlT`}ifPv7x#~6zQQf34}1J8mb`i`n$ zF3!i<=}=Jv>t-F*3~6*JEEwF+0XJ?iBvj3E^;-TR36g9igc682m`RZz#we@Ym_dQ{ z0YB_90`Q02v_qE-LoF#W9&GlCHnj#@AMy%hxT2MF!p!A|55rrLXa|&W22j)2Fx>mt zvij|jzlbL5Sk~RPgHrV%Xgg#$mmKr)DjG%Ak4Ng|uTIin=KZ6$0>a<1y1ozu#fT=N z(cCg?XBi~^R#fa+l^euv2_1k-fr}H2T-+&!%u?%;adSkX($UMKtgLWI@7sPqu3Fh1 zId=W#yzY8Cg86iIqanGQkrmKS&DgS;j88bX)0V9focIyE{wA&= zMZ}2=7B$|%@DvbB-r8jNR8q!na((ObIzJ~wV)L_dZeR|1}BI?SY<20XA#xuoSf$vcYi9h|;OUIUs(+fevKSQW7RzCJA8JXUu9qCgh{_^imT3|O0wcssASVo{N&`E z(?Qy{z1cz@z{>yy2M6wBJu}unA{yCP+mDYPl}fP0lWX<97f5<6Kt}4`pPcoO$c(Sm ze0Lfn(7tdYq=IEQa_o`g3K}1HEnA-Z2b(Xsxrg_RA>@5#cC_;*eh%v{>X``_ZRDDY z0MU1h{RTh|kTv)>E)1An2y1d^1T|o{RC??#Qj`w&gRkf-xr$Dh(uw#W)Xz1-tYYpv-C2H`>3}MR7v5A_nzaho+lK6 z(CCH~ojw>;7Nvyq(ySyha>2=Hs{h=tNzS(!sW@Il_&@DT5KybK3({`N9U;{a8_APX`}!dMUL{cAE5d` zuN|6iW~cDf-+(U$5+lMgqd6$hxI?=*v^TG;;B!+@4-Q3<)#!gCk1mpqd)2KA!+U-m zAgQl|=TIEmv$G3R@;YB7KfC2ond4x6yZVQcq)9WNwj?tkr+|SfTAgaf%zAY+>G}A$ zv+E+smCd0u6`RSLvDjTrF6>$U=4=ahEbyx5FMLJU&FLn?MD4Ebe2#TX9dEpyZBzdh z=&3v|D^3l^l_d$s%85BKX)=n$IzK*%e@@SCoUhCRbAA>m0)j+(pRIdbcSw#}=@o)Y%b{rr-&XnaE1OEueZ9@! z*?U=#8&&HhtXUow$6&EI9bqUqq>-Efi~`YOfrSMUdLL_^>C&Hh6DBYctZ!Jz-sg!w0+z8UCL( z+Jt;3Y`;Y}s)c(~?pr5W_4gPXpB?!4@+nuj72)8-{wzR5g<=#m3=w*7m|f6I_9Bn3 z$J`qm|~`Qu%=Up+V6 zoXzRx>hj=#zSr*`cBj6I9<}YXLb8l1z-f}ZRV{-^fJmlLWpiPpWG~vdAHu|nA*sB- zC&_S&j%@A(5C+4K-TID03y(d}&Mw1z+BUT3o3t_vnq@ZNz^w-Xj2{cwBt$!#3^D-o z&tHDf@Ah3+^Wz>_wMB9EbCwN_{ZG30W%fU8-kjj}^^IY-gF`WQ&0=$-DB&PP*-$(U zOAE-HFZ{6T-zAW2O(fh_*ASQ$6)gS&=Nr&Ik9}iFVlOs*eJEj~#-n)Zn2(p3wu8Z7 zq#>8m)i1+FuJA4&4#;-?FKIGhE_{+0fEL@f0q!=0c1ql;Wa}cQI^bDH=yO&V%#axU zXzK6zMlD5|r)O_Z8YyxXB3uOQpUNMBNBM)ky1Fc6_@QoWT?UD(LEt8wcCkpn5rDu2 zjP6%{rK$Vo8f{^1?4V5l8%*A$qP(Qy)Nz%^InX9fksvKoucs>^s3{s0*)Db_<87xV z+P==$9x$WPyu`Kl6#Y;)O}}#xqqTE1YWF!2S+W26AV`RwXn}*J4$8$5x`NEkJ_Iq0 zWhE{eBe@v+^JmnRPV%c?p?RN3Kwlz0A-#&mYOhfw2vlG<$do4TI7V0bl1WMuuwRau z8sdSD7u#rOpC5|%M@G4YEv*GH-5~0c!)LB{i(dkci&wkp;S4e3eZ^4#(}1jzkYCc9 z>zCQMh-h*s87n)xey#~HvmvNKgz$45Nq=m9V28*NkIQR)hf$>yYm(h-zdLTUn1))6 z{KUb-#ftiNq!=**wOf{+f>@3c$kQ<)Vrl*rxPJoY&}+2!GDASd_p9%a#sjh`+OCsf2iVwit8+nBgOZnH0@d;P zuX9A?TYxO4aTLYQwJl;|Jb2MOsj!A7qElDY;Y8E}*(H{vCZ3OV`DurqzcPt@_ycGm zlwst4x~^k2CQ-ss2kW~3Bfkc;3xd?t)D)MLGyq($@{j1~Xc;A?5qmDP2JLvr-@CcEF?u6xC0Y zrv7p=M=yvV0s)w5S{7#sg{XjDa*U`TmF{3sQ>btRsGohG09D)d!yiC4rU2MZmz_9# z?&PHiys|n-;1JH#)02$Ta(@iWW2+%aGxBZCR7?;Uo%!k(v+bKKZnAQDpWY!i86xcl z_lZhQDXn+glI}d}YgD9iS?%i`9W;3utRfqO56x)UIV&nCBmxOwiT2%Z;Pm}GlGcA( z$z$;yC{G_<`TPQB*{qAw(LTYouepjvGoOsrT6NOWWMkmy?ro z%}b+*YMSAL2Lelg@~z$JYLi{(h%&cEi#5y6ws)p_`~?3c)TT!>dmDUGC{6?a7CZo3 z)P896bhDTfQ2M(Ecbvk6EsOUnB8~0s7V^V6o{2`T{j>TFhxmNE{qW=a`*HuV6aN-T z(3Z*Z-Uibpx>wlWr)O=arycFbM`wjC2uA<9JZR>Ql$p}j$o*G+A|m~J@n3$Q0$6sg zbq%?mC)>RZH^j4hE?$Xq|E!tI4$F{LUT(0MJkNukc_t!c?2na_aMM{t+mtgw!EXiv z(O2JJ?kbj4Sr~z+SuzF-^!mJM)_Kh$ZCGIB?W$K95aIxs`E0MFjQ@lT z&Hx!0Nkm*+T=;j0sL0sH9FPe${4HVMAXROsFIb)5Z8&cU#H5+OOG7WRd~<6-c{ui0 z1e8AZ`S_7KYRnaodcB=+5q~~F=<1FWCdI6ohIcxk`CHXnd4m1F7QpofLy47NW?}Gb z#QF(X9Wn-_tSW@l3s{6}9W%embf?ue8Ed|=v=}HxTa3n&ps0x~F&(5Fe4H9R(qX0Rf$MA1dO7sJOkO z39YZ3r&xKSmpU%NVi-A33@2aQE55J4caUrZ0kD}9>-jpROm*>)^{A=w9LrybR{xJz zaUo(D2<;YI%sjtGohd)K;ILF)US0;n?)2#_?lZL2KPB>Ag-t+igm_p3nGJ~ugM!Qd zJrHN>bYMT|_uJ54VN2Ig7w@eeHqEbhWqZ9Z)XG9N=UXR+&%^21>^UFj3s~9YG2C4E z6Tf=pTj)@OpQGe3lgx!;-gY6GK@VU6k~qrGv&QWVg7h{%3MZykEN!3~0TD_sdb%|9TYMX^fx(SbHZPU(a4Id?G9+?DGv~%RgpP(mW!IS9O2e zTzVqf7M3t2&%M6jKb!wSZ@x}_#O4aw7}rgop~n;FFj>P(Ibk(f+h=4$Xwu`Uxt5)X z*yH}Lv^}q|mAZOt%b#C7-F?-=ZgP6yZ`R}{DM(6636@SNFaI%GA=_zQN=Fw)ne^mj z>yFo`c!}oc8e!j-?A_jD9yog;3Hz_ikzd2Ql`@o?WPfCsx+X1y_RnTZ%K-Zg3K#=8 z6ck*DlJTtIlfL?EeP?GTz@3Z-DAQ_MTBCq42Nbo&05Ast*zk@lOm2U7-Qhc2b#>n* z@R`zZo~JBnaM5uaK`QpT!XoPc3n0Z)5Wdoj_`U5^meYqH&>;Q51zt}{snYn@ zm4*lsTFzwF5Qm#9a}FA8Fd}AL(uP(c)4VzYH_3 zyMvLJN+{Tt7BWmOXLH|~G8z?cm24OLD94to`No4P?(HQ-BT)4#y5X(Mp`<^`ad?=L ziJJ0N|B4Rl#l0&@7-Jv4^(JP9iLat#Pex6 zOTlTq-|FUmE}@r42cxO5=uM?FSk`L0vybCOB=3?EW+5aYUJ*hbTbg5IZy3XoH7m7-XLp$!7frRES{mlx2=wocGv$phzPgUnCAN ztG*TrFuamOmx-~YK`B@78yQy%ct!7#&X(IIk8f`N&JvaNl)@UZ>{V9T9$c(&-R-~i zC~GQt50QTKfanRWjpq_tP*CxvJDp;L$H7Rq#Qe(c&&`3pY40{jN?)@duxxYQ^_Y$I ztI?!~T%fAIzxgUTH0J!w^k!2-XSFIVXz?H^ky^2w7I-s{ri$OYINm9I6yfyRkLLM^ z4m-ejaOeYGM|wuj?6cc9{6Ya<Xw={@nz}lKuT}6{>-BuxYv&%BrpRlVm-Bvv3A*Ix^z;$XiCiUcv{H*D7 z$K%TU?Ck0UO~-%S@zU$C|DRb~%RhU&h2I<{g_`;?mC>BN_v-a)*R4{OC_BD~;9T90 zs6isd&T7dN;n>*MTll>T7x#n$FLQUEf${PR=aKUm-x?pBE?SDj zn~h+-sPTA8ofzVBq#(F3{@%c(g=J?yyAC{fO5FcUb=B6(mlWUIkE_N#oFCcfA+67u*``qADD}#y179G;YQNOdIr$s zH>yR_?9DfdX$+njN|Gb%4Sr+kN#|b{5*x3sNS~routX0_8F8G9He$b&f&Le-L{o*) zVu*V}1}A{vtJ6}&??)8vvvi4J>E5MnB^yFClBr8@w4G{t?kex4UPT~&V#a{;l+SR)B*o3ys_FnC9YSm@$9UfvxpOCV|xqR^&8k|919 zgOHuk1L9t`nbeamrzTHF=!PNC{#J*qxHN!tuJqCTmvsIQ9O5+D>BJvFWUk0-+e2fDf3-3#k8z{q;b12wmyOyS2E&bu%KL zrTuYl*NM9MEunj;$KVhGESky7En>x7YJ3(mCA3nP^j8$OSYhMJdcqsS=?kSv z>6s8n{4c|U<=aM4>qRq@_6;ho6He-$;Ln?eTs^Nua>$K$Z(!$J8WX<+En*4LTSF_W zs>?bHi6l=5Pb`m1%~UBD7tPBngSMcJwS}}9(oOwV8q*1YZ$J9?zz^549ECbjV4N!8 z9pIoxT?Qk<&I?yp$Z`1}JL_k1__HM|dBMRsPF`Mk2Db&1T<(u)r2&oE8}9OuIWP_NLQeQpb#y z1=K=ooN0{{iAhWJxVBxDs4>(Y*nf{sYU3rajNmIYKhMie-E&lx3AN;wUsI=#*33?}SL>r`sd;8FLkqQ;DjQpc9y;7H;_tm%#&5{#Mxb0-*K z1Fc0UCij?`R0y6aDI~nGCoCZ(8oyL)G#~A^65!DpwafeEC^hjColMDK!xZ2#l;h47t(x>Q+B})C*3gnBQfjbD zr?ZE~_JUUrmfRX}$x2q2Yu{X_dnVGEA36kFxz2ho>t$q7P2-hvxVS$MvlIpNS(l{| zasEl;pspGZTwQ5_tJf_Imwr7VTz%PLZYyD%Dd&x^c`%k3>nF*aAT+0TQVST8V#&%u zUe5$?i|J|`+}a* zpwwn_CBE-?l<3jkPhK);6g+*0s0Z8RIabQ9b8D5#Y?YO!%6tPd2FVZ=&##u=zC($J z^{`Dqh8_mk0PxXdP!0ZMEP0dDS4zFX;U9<3f?~4IYZEJLucuJ{*L&ir6qEBzm)5C% z4Iyp;KADvlZ({^Wv)y*R)1eD)-W4YmSEiVHkZ-Q@+qAw&7PvJFlP_sgCM(Myo?AUI zXel*p$A&!Ec}B&cS$MkIpV%glm~6ctSMWcaCLo)1-b3V9Uv9W`<>_hb#l*|f;;BAH zGHpe6Q&x7YPQ98MsKTKG89gqx|=?~JzmfaTDGy>Emlkk{h(^xyufK>Sj@U044&%TO&xApyS~qY@J5Lnw>SNB zLT%hKZgNH9nR`==o_tabgRAiVC@|%G?xnqT>AdY@&lxRD;1nm|6#NgQ26|j# z;HGdiqosq^o%@WaoJV`m$iFFAd3#6hn>hUv=EJ+k64mEx73OnS4!#cy-l9#M^P?Mf zqFySts-0Dfp6rZ**|;C~<0+r%0NrREmSX&V2ZC>riG*=TSP@D6`qtaa{aV^}mtbrb zd(4eh_SBnl^$_u3>)6tq*g`*D<4Ek~`jNfOaRcRVn&Xe`L2VhcUqKX{A29VQ^o^g^B|6F^8u> zd|t$%xF5E0xxaNdoBs@64jQJ2EUY-QN+vL~8gr!C6gs;fhtuBUYXP3DBMhST?l1H@ zi|>1!=9l-7c15>e#VtHQ0OR<6?Rslz`E>Gt=r-M{_JX3Ok_ZNO<=-6>bCeSei^JLi zF--gyNG{J`7?eJPpRd>BqSy?^zgkW;hD{ZM0SRMeA8MVjj?}441=CJP8dx3z2rz#J zCF-Cdie_(!T0`1mu)YG237z>{S5CJ! z9EN(PUE3NT*{thP9xW&RZAU@pXW+oT@CP)%(0csN@o2G)eH)Fr;?{)6RadRnDA1ZO zxFPSxPZ{xdL;?;DX;|6E1>a_kjIVODRoHT0(doK2VCdl$oP)61a>N3DoQ^2GC<07P z4P%NZL50N~KNR@&T0&@R2Wv`7#we$6BYz*B2LwA@Q7rfmpGNDB^)6vy%FVav_n2D<#yms*l?Q1+jwace8q zdATRMOFi_;B%U3<&ci=>8c@hy=0M5T`pXhU-{Y=hi8akIW3~*M3=X)8H$H<1BN}#} zWNilL`LhkmVKOp8$Z(3NG5TUDgbHHl%2Hle<OZ5`dP$AvVpR3lpON&bZf9E+p@ax(z$>d@k=#Ofnt;YpdD)1mXBK`=h#m4|>2}E7IG~#^yhhwt|k140I)) zpt4+VxU&X_Z!QoJzckckyqf%Nl^>wfdA`(@-e<({kTv&C9FzIoF&d}gB%P7k6|gbdy;0#(m;X}{jisPCN*wNA7>=O@_H8mv9rUkTmmF)Sox`!0x~2c z9wjz-Cm9vlY*u(zKigqT6jAc0X>-X(F8f})kd|Pi^fOBW4 zN!et^!YU~>x7sHcp)~jbHfsV;n=bY{JvpbRwnwvhfY+2yr>+=hwdAx|CqN9ohPN9`mcTc=5Wb!SKlJxFMFb>>w3uP;;b8VcrSy!c+`gb(lpd@ zK1_Au>C6=sln#;|-@m+wvc&AHgUUx#XYDJA=t z|B%%R3KDkcLCmkO%8`uRfPaFxamMN2{tnCbx*T6r=Q3{68)u#xN!lv<9ybb(#r{2q z$lqs>*s+EG26`#w$LF2Kwq8e4SKjZ0=1qhx7n{tH!Ik&u_>o_=$hxTwOynEyuAjGrnAT& z=Q-klx``vu@dxU-q@i^K^gj;oH$oE??ENv^3yqmEd5qH{+4!CwJRi%*8f5Zq#A$fv zivK?5!rhVAEyjag`heYJM)n|q-+AqQb8-e_-jEw2an3x$%OyelR5JQX?@nn>aWI3? zQi;b4Ze_=X5T032L@FLPfNPY8)i zuZ;HL%l%~m)zg5p$kSU{84Y+3x_uaEYs+Y89PlZB`-Tqq!Wo1_YzvJtsHx@m^sGFv zB~v)f6Z_BDaO?MD&-Mnd99nLkP_sVXXPDM6o?T&zNp)Jg%r6U(T&QCi`VnFBPp&@P zxWD&%)2vaYaJHoX$Pq+8#V5U*Q+jSXp8fl`hwkyJw(s~U1WL0?LDLZGZsrZkJ7*&G zz+3=}p1qDIp{A|}y+P@p^Z<5qL~`Kfo(Tq_R`9e5H6uG@(+>6K2_@{b!)V?)$zR8R za!1n2be4niS@+EP$vB+eIQ*@b)Pm$;?_xQBKqbT0z3bEG8`)oc_pv(%kTq0aoCmGS zqoZZZrV1(=xsI&L>EPVnCJOUlaCxo%NxOYS$0LcFRyaAVnf=9&@+Yqci~zss>EXBd z{Rg1cZI*fB^llo1py|%*P8f;| zXq?J#a$yhZng=AO|873E?|ZdWI=g^d<2DeECn+^%fN-QpVNR z^>@v8GfwNjcP~K3M}(YFFzPVC3$$rCwzAy((4zjnmeTyF*h~)gRatW-cndBJvRrnY zb!9=MJ&C3f@msljl^*-}IjbZqBr8=+MsSoFS+AC2NGX<6-I|Yo#Oqf=yqwScIvtgn z^xVxxU{Fut4vhWB>w}-aA|PqS#KbfR(9+aYn=9%t)6~QQipLOOpnxUpr4T8DL1$`- z{BYm40S%jZQYyt~Q(Ft7uQH1)n!`UgH}Lf;n}dV-Sb}Y{(!5`E1iZSsl6dsAtrhhY zvKR@({q@~Fm?9A>Djc!&SI4-j#j%1^aw`lAEw@t}=9jnp*`8#*f>R1*n5^ zLf@BstqtBK7WvXcN+}S^A6*OBKK+9Csdr$R#5&qu6(5>kr&`u&3TOX2$02H5Q4tO{ zFQU&<&h`q=)E)?kX_4wy+FZm*TwQO(GO&}RRy1nN7&()$dgmdBIVoH}IKt}C6+p_t7XP4p8e?n1mpMc)G zWwNj5qWrgzezq{51==bCzC{|erPS7Q)3E2=vrJ}P|j+Xqx_4l3`*9qb!fBHX)aJR~-H4{kPjuZ0Vl-22};kJycZQ9I-ys1gIJ) z1Qcp8z2DxPfHvIsc{d^(kO~{9y#SI?r*XKsm{!qe`d$@Mw zH=#E+?xCY{a>v}^oEbswLCBsdhMllR{-?_ZjCzqCEeMFB!8Tf>L~A9aKMCMJt@pQc zX-lqoJ8Rlp-3PXRn~L_TP-C7UOG{hmxi`F5=Iz?sh_lH;`1(`LWb`iu{D#*H2In(d zRcryW|L|O9_b>UKN{Q~aaMOfD>l^yOc1xP8+4& zmwdUelay4n_{q@dj_AzrgXGi;9go*CuEUC8)Mm$kWQcxCl5Y#jlM*H0SBuvgkKB@| z?y5QuLlGvKT#9^AWfW8+Y|CfpgVUzb-{4p7Aar56;A{IUVMEv7yQnuFc66zDf%_h) zaE|zl2J}HW+iMdpaepCobrBz*t8aqd;L*(C6uobOsmWk3kScoc60oYgwSTn!IB6|S$&%lw1%LNg6QG`l*U5jzMK?ju3C z{}Ak3$L3NsFqAe;2HL}{*q#d4eA_P1=4URc}m8_x3u>AN3QW0Y9c;J}Za# z^kM`K49VgWK=*L`XwnA)L`H}*XbAXFB>+W*bp-P`kU4bgt15qZtF|Mq+HiTEBxmQgk#0w$ezo*NJk}7JHZ`{L%St()PzVWn6yEgNC9oNjR zzGl?3W_hh+l;*KTVSnLL)u8}2E{m=STHF+6B>(er8W|3=0(5i|lQav0D5u8nr%{d0 zqEwRP`{bK*9M;w-l%%j9b8S9C0>Z zx$9M|weAfhkKWs0+MJdBQE!37(cIZnS`93jLK5SkQl{Co-|W|LXZ8Z6eOh&+j0+Vd z2-SM#hS!fRD|Lc$Dt79eA32;ko9E$->f#>)>P`1j)Hn;1I&ivMPjvEg96 z6d4^-T>^#{b&e*yqR>wz1?#Ov(#lFU8%+YW{;dKVvfI;tfdgVDgjmRnEAUyBCWA=5 zb)euM2*A9eIXj19bW|%$S-!RBlALr{fao$fLH9)_<=d)!qbJz9gNTaD3!tMmYz~|? z^evhcST$!gYnae~Isi{cPa#Di=lg?-W8He)lH>Z);oJQv?kk8d2nLEcV$`9%nL(H{ zw@rKSmnbayqRZp;EnZyd=%$9vZuItG08?E%5gXM=xR}K@71m0K%k5Y{Am!f!Ky{Z z$4We&Dr2Y6e25sj$m|+0lsbLTVPU}Q@n=A9noZ16!wK>1AHxlqo2iPaw|)Ai6 zb$Imni#kQ@GQ*d!q)9_6qd6RXx@5qQj|m?sKZ5@g&cc)yBCd4@^#_R>izB-80~{Eb z>RP1RJr)w#WNl>jjQk!Ygy_Kta#^%*STmLr18Yew=F)zAQCAwAn33mb#ywR#Wu%ZkUCaGjYu5X4v1dyvTBH74lmJ-m5e0fu z$}&B3ls!B}a7D_w)fvZe>`W8cfOSu&{wjIzt*p%wuBV9xbUwK$QuB0EQnuHicn3 zbZSc)qI6D-Up#2)S#WJxQG?DYQ4|ej@0d&xg&T9kV%9%3c!ki+-BR$3DKZct5h|oM zKjvOh?Rm=R?q83Hj%Nv5e9Y}Mp~KF57X30m+>tD?_dmT|^;1+~+oq+vLn#Sq0g)wE zVd(~GX+%m|1f;tgsRb02luqef8l+34yF)s@hi|@_Z{C04-I+Z&v6LR%MphgnVcRyeS5h>qjSHim#A~w%^X(x z!V3}hK5H~@_`AxXoAEue+AC2fa~H9NSJ}DJFi$3F%62@|0Bo?Fo=HcO^6!kQ^Yuq* zhs@o0s$J-*Avd_<5YwOpyiqW49te)F7?f`qliWH}zac82B`$6H_q0Hxn{Q_~A=~gh z%DUkv^cb zTH6mKrcV;&5?^)N_@nyQ6&6ViYM(78LntpS%v1+G@n}&j_(>@u>NA@@OO;zT#wKAs zHEVZ;eUw@9n0=6AKW0)2vp0yi`rM8%caQbiU5sE>xvA?5-3mx%K31;}q1g zt-7BKy5Uc}Vk(NS%XGLRQ`G%uOrvjg^?wf3uM^*0_fR{?NZVON1i?p`*u+-^7&@jZ z9iMk!*i-DB2&77_YUn;y54l9=^{i`dmFa%Goj(ywUxEDjJpAAu^FR_6HZl_&H2fUiU!yc#HsA8Fxl~s@qUmL|?{+GQu zyIrQ?G-@ubM8ngw!z(MRv|OV}5HHU82+Xp7R!6DmK!mO!jyg8(DJ!?EvzCrR54?;H z8=mk}V~2FrE@*`|no}X7$)I?YlqjITY=&%QC9!R&_Y9+QB*$#>3>UMa0>$DW;-k35sC!o$T%lsjY&sfA8+P@NNCs?2sWRa#U}ePU<9;A zlbM^N;b;+rU!{-atcc*$&cLGdN)&K^PE1HRWu>!*+9H*%ogVNkH|0%96Q!8P%MK2j zk5@UaCP#iXy+)?)D?EaT(aTNKzK|YH>1njVC_ye{mW#~f!|EMXsWu8{Y((GLmg-DO zMee{}VO`z=Fvi$qfJN`;-4^8S1bCzJzyU?R{G{ZLW-rES%7g0AK(yDH85yQZxfSZ; zML~=e$n+KPWr^nVjjXa|AMX%mIndk&0!up8s9dj>h;=vB0R@5|RUA1)Gk7H$YD zZB4E&E7^suj*0S4|_xj?-}LyC?m_Y3dFw$v)=)~V_a0UP$XP-sYYXpK+@Hq5~I zXLY$BOeQ4sOo=6+5f@jN5|1lJN&w)ID`(Kcgs(~lUJBC7O3}kx)rrG(7>?PVN z{hcNUCDa)(JLUJ&{IJlCdQyrgU74^{a5-$a-6>-^rH^eUP8q}E;xdg=PzyZqe(mQy zXwZnMIELmZD1gaGC)lS-nMEXL=v@TwG*mfC66&TEdzuNU}B6-QSMA)ZaSR-VW0HaF{4{lA>Y-#&ipfG0B9 z#6ub+C|Kqdl3!|L8JK9E!fOZ{4bbH+VKZ&wVE#=dHcQWgD)|_-8RI_+qhcH!5!#0C zLH_0H&BGh zyh%x_1!2e#L9%#a^dp2u;OHZO6hI{I6@d*qcT%$XZcG0@M#a#LuBAT+FDm%TW76|V zcu(6WL{}TmGg*7=6jblR78^LnHQC@P{>^o-)bg*dA2I@r{sIwims*wd7sWg0AopE5 zay#^BnvV4Ryg<0U4o_reEYA=LD!0+1jWYOWTpLjhzY!hbDg31ytE&{{W*Cna_Vg*X zdW80Uq2X7z$u~8{pPyuLKr)`CD&l5A4DW-|q%W_tD$b!i2}?)DQm{_y#Usm~?w({M z_ZuGS!342{-%EcBFtiqw;B(+5#A93+;!zt+=i zEUm1WR=L+y8_YTl>gMKOsnFdPunssQ$q1`70K_ybyFEXXd0l3d7$D|7jXzABv>kVmiDsY;s<&=BG6<&Y%&NrsO_Nw8U&;olPb4Q4^JW@l&f_a4XyN3tcS79UF84g2*G zLJQ;P^$lCO=?{QoFy07C3L${WFoQMIP2$r6KpR(rv1ue~YU-;C?q-ZKy)MrBW z5m!t<8KX43zN+`a>sDPH$VmNY*E%MSZy&n;;Wl zn{N=kZ| zVkYCz;`KPSocD5ac5d))`9Gwx>0^6(6v5W`F%|a zd#cz<*^}P0DWUTHn3&NwdUAg|`8ex#SP<}8g7eBbE|wP`K1jG|yfGjDMD;S4&oXEL z6zd+!J%4=eZ{Z%>1$^g41qBR1)ZTZZNSoiiLb*c{b);<0=h0kOMSBQvWrce#DE^Zxw8b|ntrtelES|8+z<0tw;tw@a5-w|ns`zit0H9eX=(j+t*wV8x_BOaYcT5CuJ?`?_szUY zs&l_)h<8i*B6fXVRZaM?*@c564<)Zdq*?1u>jNOWxc0BSq$Db+a?|?U95o&xXl?*~ z=K9_BLEiW8-)$Cz7CaN+aN3fFeaJ(bC08YDC`sF}_Y0Rk@X73K#>eifaoiFjq|rb0 zf{|s0kvT>5Wq&;Cnc9zK@5~>RQJec=#b|nb-6g5^YL8sAz&dh8!NiFlKx?t@?aD** zJ57aQXn7kbPyS9CE_5bL{Ta;s1Z^{|%)Yo$)b}J$hI;bUbfVo(p$c9Uo3~L+)P9U{_=xg78ct|9@7r{>PWI5RFUr!RY!&>9UucmF2&SZ= zSlQNueaHzkhwg?*f0xb)W)YknkFO6a*X784QA0j!+6c>jT5LBP-wyl5u4SzCD!8rk zNi+}YkgrfMKaXgO`E%S3T!Q4rd*KbS6KG7i#NiO#R7A2bl5W-d@cAAE?{|1+bcQF> ziOc8$kBs@OL`oSkd+qf%M@LMr$fzgR^&X<+JV*`@+RcN@ zg$os4UV0pD?c^JML}yRC;0)bv7z@^YWgb(49AMCdxK~vpL+?3DS=~!{oODm8a8vxn z4$4G3%>CDf`^BIR4ytE}Mh{Ky-@NI5PZd^sBDx}SdG9`{ynp?=!UhmUX#c3L?U$JJ z@Yyg*dt>EuPXq3={oXIm!PgOkkzBv*kcUZ&7n>mu^TUh9J~H8We1hZ#OBpH0`q*4_ zWrld0h{QYZsc}=8khhLPpKBTijzyn;4Kw4VF5lbrad5bWIy5b{@KU}vc4+nMq__*r z_Blv+KeX#AEHypPMNx)^)>A77ldiB4RTAMeUL~evOYg(S??W~JRBJ0ZKEj~QY2C%i z4Es3B&cTU@9Chw?D7u8$8QDl(_`3xTreV1(V3f?5j~t&T`-GJ7Ue+!OFeqt&6WJkf zh3Uv1a}S4Eb?wGL&1;!% zG(kZz|2FCxu)qIB>gNxsOb#5J1Pz_Gw!hGP@#Ssk;*p-wWn|myUzj-!`pRV1G;f1L z`fV7ggU}-%XSB3%YB{g>oV?4(sOZ1hn>%iPpBeXPHkL4JoBLqw>iS*V_Ey~764G(h zI1y0=4c4#?QB)XuWTv9=*WFS|5+)Jx)6*Wcj(N@Gef2&?LJk1VCTbCjAu)e!<>iogAOGz0UG+>wfXftkZfimiN(e`<7j1tS# zyF&OF6?J?I>Ymei$&TL6+k*{O9|9AT3WuOzkK$sAkv9kwX%YqfMWV;t_97WhX+KL< z46m-&LigH)6d$4W1bC>%isnB;@7*{aF-T_!K`EE^LHyz!+KV>YbmyCZ<6a*78QNO)Ie&EjP>lM(wumgewB2a zUgcsO6FXNW3;iqd+*m^Gwlr%d1;!_xDALxHxW~k#0#_%qJ<>GAR{8~}r*%RvPfwi1 zV%m5;c*^1^_S~P`i0gG<#m((mQM*+jR^EUB~Ay`3j-VB*2(k*6J& ztN86Ofk={580@uN?mzN4@wMg|5^O6f08?9;S>2Y7a1P=@-!iAj?D^q{!98oPQsgR6cq&sTtjJ|@w#%2Q>33h>) zuY`fr3lG47ytZ9Z$cgOuag-oIlKDp=o{8C@{Bt(Iv zs;wQ8m`M5%g8;3^=@uU-XhxwTv9YsL89EsOT6Z8+%*4QeoTri{t*e__%S1vHhws)z zVQOgj`1ttvk9byARt#V{iHW(qScwUNW{P~`wzjr@e0|*vAWSj0lw>K+rdteokDsFq z2#=&VFJEHuX*Jj}GBPf7X{kRrheo}xpnw296BBAdK>;uoI=5kCK4diI83#vPN=hhT zB1-)7r7)U57l=}}4G$C4+Rdxeb>)1Rt1&rR?vj<0dkrq7zM(-=hI$RexU!0ho$Wz5 zUNuDn|8}O1K(^Bge1M%D>-ua@gU(73fbC=z6goIc8?zyOb>Mqys;a(S5fmNP)yn|F zSIG1Wfb$4|lg0v%1A_vK`|}NjOk(iucd>sHGcvfEueLcD0ts1FGD%ZYQ>{^>zSY!d znF9i@hEE6B41slkuwWUM39c1rCa#9o)x8{FGU_S5P2h zbpk-IcGL3E1)qBZTwL5x@IN^I+t!>Y|5H_69R@gSuowc%=JpsF7}{8!u^BqSm2`m& zt#f;#NK=MtYNxb?8~?E=TOgsSvGFUHk005U1@sgYBHYeq-b)!7Wf4k*e%zT1lMKNx z!25@pdx|*#tmoQ5hxB`FEFeFhtt(9QdNU_RRZ9zF?6!DoV>qkyW!!r}lFaS8{|5^S zg-)m;5)%?o174RX_4V|;0;gVvaZ~UZKG+wynXv%%(X37BxB7a$kDNka$$(fM6$$Op zBVfwx>S|5LXP>yZxL&#+GXucq8yTwPc{>>c1G;d~JwTGqA*y^otOf7O0H8M?A1GXz z_3G-%^UO_nG?CjF^hCQrdPhh@6H%;RYYK*83YpwbK^CwykjgKsq9S8q!Lq%xqbcL$ zyxfTelaVn4VRT`RXa#7TqVcrcRBTgr=;`Yd(a?x^imzf?=F}|$Hp{e z98UlTjxmtmK0H6)>(BuUr@f;Cgn;(+TwHihpFZ8(+tZ}8N!$b_fcbhdM@L8A^g&EK zJSk=6=xrT>wSVtU|GqG!DFVRZ-I>ZqmzS3>Jxyp*^=kp{l&W=8y&{O0P|@@yzW zq-S`z`)||dtirBzA94J3I4R3};3G4_G=}>X@!`%-ObF(GUySQet3WSO({oz+?ap#p)jr zK*oB^DI}!rc|QNCqn3+2qR#y!xBeBu1!#A|+}!FyV`30fms5aDNMt`j4o zSEpktQqt1F|7)suiOw5CVQ@HnX>M(84XBU3HOVd)rp1p-NMLe3_*)DKmwET@9U}yy z*V)}25gLj~L`lhpjf11veVpIaWB@)SSSTqfA}P`;R;TC*$dQQ&&(6+Xn$y(OTn2%< zddlX=#o6>VyOfmF5};&9LK>f(1gqk;BjYeAPDISk>LEEnMwT3mfzWEW#xG9Y3N#`6 zzk!1m0fQEjV8i1!YL4vbk)0U%1BZOXe&TtEtPFqY_w_6Ngrl_k-Q~u}^mOR@y2VRc zd|F{AG@HqvYIOZkgeYBIU1fU3ZlE0Uru)becp=E0{RS;M;+SL(mm_$Vfn5vD+)1gZ z!ltKnZmxDpk$izmJj`u{YebP#P=w%6aDOc=C6K@zA0G$1P+{~x)%q+6+Tpfwh(>08{1t++>1PHFdo#0Mz2n_D-1b5d2cXtc!?(Xgo+}`H8*YhL3kF}a% zW|}iSC428WRUN7*FM*8k837Co3|UH2R0#|WLI?~DJOT~|c!gDi&=`1ta`+~t0tftf z!WsVpp2OQpYC3>{A)7-HT3>s67~^srb`-Smxj`+ohh#q;Rt&waKHy1WGRNb%e$bM`d&z%R>?ljiK7 zf#-M@bzsx~{mHg92_gCM{^zkk5k!*zor{6O==xdWy33Zsn+abuI0Hq42wPmc)iwa!gRh&b2ODL#9^E}q%hmtT|>}} z>!AzP`)`?MZPP)P#}lKajg8rO2Dj(iP4>pctG-l;I) zc&(2)c-~YVp5;QtUMO|eA*ViEwff3LI%hQJx+`Q4?wilMzdyvf=Z)OQq33=?+3`4L zQ{(w)FYt2NWAI)EDGcW~bF`bNu6NXUTEC#zQ&aXGHxY1~)Q2~wBjV!F&s$EIw6wJD zEImScgsrX5S)!#4aACN)xp(*Xm6Vja9}lu8fX^PhnGp0*6u1yd;j|%2=K%d_XlR&t zQ7u)o`!^*KJzWI2UGg_{jCj1M=WVHe-^Kk+ZT73xq*DWEr62gvQGA z!O6{AZnVJmFn#6jVQ#c3aE9j&{zgtk1&Xi31b_0z+g+pAd?(aX)G6!lW1XkMhmJpP~m^lPh(a<7&rw!kZlq?4QpX z?;V&0-X3-`-1bvPGkKHgE8F4}1Rjl<$1}upxl{hr;R`_CFT#!D+Z5dM}o zu7}MW8TW-@y}aFbnw>4z^IiUh42Y70>*@|dbbH)OZapa1tPK`H;m(T=Vu+Qr1+E7p zQrvAfR^nlg*=NYIvc2Eu{oV(%%IQR{<0kXMb}v!=`rnKKMtI-D!%lQ-qkg;l*ZWlm z)c3cG_i?~MBmU5cP5Wt<=H}*$CpSe?=E1}Oe5A1(Z*>P{I4@hQx}TK4mLbPV2FftE zCtUcvKPMz5v3lHDjSIeeHdrl9+Xy0JGYCl!Y1_0z)0`+WVDHq;$nOAO$@Knw?d8Dd zjas=-elNu+%HZ*OkMDYrJOD;(}TNi1>tb*rx*=ROdL!}5byP3DD0M$R{SX| zi}=WWz>sMnMDB3DB_(taeqeoleFWYQTdP34GU&Fj@44{-pyCR^NvJ59ue}eWR$b8q z58(FCPEJm%K+qDnAO0rrdAVZH@5mS+_Q|-rbI$U9ve+L>ADC0uAFH#N(dh8xc5`!E zTY0~0?A%+ntlR_aYj(Xmq~o&YL}1tZ39{eLf;}y^=YNR(JTS(&F}mFs?)I=1!VN$~ z>w!nR9#iWnYnIzSp1|ur<>8SL%}#Irt{+t!0vYnu;n<9Zd&7wg8dbhH`kt|D<6Mx* zBVulD+`konx!vsFF7?+i0Cu3Ir$1@zY-{5q^7{83EN+NGRaNyPcNw%BA~s(3Id}K= zuJW0^LIq#8P^}iL{K~Z(Yb<7{qIiyJz^D|mMl-k_T;CoK9{V{vx;Eb5?$65_K`RYc z(LOH$K!Q2@WPw)J=F@DvZ_-yCXXMJX>cf=fxr09P4=^R?9yi}^j0g=K-F77B`j4qU zVr6>mX@aju3T^Li&ub?M$;oVP*TxWjLicUJYKEHFye{X)D-EF0w6CQesXbeVH{QUr zRj>QCmu;NR!>nXU3L08kDQ=EPaR=KefYhXvspQgnZx{3@D!p&%t(*6f&L6jIQxKWk zVt%j;rkZ69#Zk)8Ff$);c0P{zK5GKWyYak!|KS{Z^@`oQ6&u(D-&7u_V_)mM?d@&w zdy_O%Vgq*2GW(0SV6v_=9`NzxmI}VX>$#cZov|YittlCKo z-!$27eFKn9&cJ}Q>qksYO^pD=;Lg>*m4Xq7`9wyl{L|Xit;6Ozt)xCw?@LH|?!5$o zlT$qW{3&yB>@$cN^XZgIpVyP!g98U3R9z;tYfX{s>+3(#$Meime{uQ&v+G*VM!V{_i8OpH)N#8$f|*6!B7OCaHM9>4XgArCzCR2I!Z`YX%VrB?>b5$6LI`R(@B&~rrC=z5 zR+;PHq{uVW*Oi7bAemY>TrvmNciuMMU-bdvu3b1#%$-6K)B>|$w}=2B5WtGHFKl3d z?abMS0UrsOm{2P4T|q?)Jeg;g<*(xgcj0tgLVLfS=sV17ni-@~f!!QT6xP)x_&hiI z813{&e&GG8=gk-w0g4XOg70$;C_Okh_}pTx#pwg`P5LA7fEYs`HZifg>cgou=z%$Jy%1=y*%(*wzK$0tzFp99Kt>gOVVU5&K>`@%L$MeF z{4kpG#b~e^fSG_0Y@yF`pT8(p_W+R)+82)F!p!@0nEMET)7S^GOy|pduvg=%Jt89` zo2(tgUkp9*6fn#1W>r9d`y`qjnRndA2M784sg z>U!{hqCNr>WBl}LR$1Xn|NU0qmu_WaYD(DK`z_~0fdw-4ziI))AN~MBh64QqxK&hD z0ci_nej005H1fZzeBP&r>ExG}zmxQlkibQb9yy+? zg3$g~PV6KDi_QF3ZsdLd^Z#$E4cmx2FuvA^R~n9+;71zz3{;_Vy9?LfqlC=L<92M>&trZc>OB|l zYo3Z4+E;jV_+JC0v1lr)!d|bFdQU`CIe{X{F^6gHWlS|IJhcaw7w}J=7yRpf>-P%hCfyyi_<%92vBTWDVcCG!B_?UhTz&0%72BX8_;h`5QuWcq$iaKkHwumY`X?%MkGWQm6<+K00 zr$mRSzL3Z8bvH`_+O;bM5vptZu__{YWC83)**R84mXFT0 zRYijSy>iOj=eJSX=8e>lTo84Q`AlmdO zo%x9N8m?UbMY?dIebaPbwLYYeF>dtu@>w;hkqJ@9qcx|U@c1N=#=bQXcX&|Ie{k<} zB#_bKL|*Vf1??fmy0q7FT+PzEbKJkY(z0_!Q$0iJ-nQ;&uN+AnsJIa{0Li~CX}E%h zGIJ(ya)`$MwHQ8OZfNJoGW8^kZF(culSoCn(V|agx!eRS zCSmAucz8S&l589wXn=P>5s!u-Y*~und&cP6lC|h1u-Bo~Rd*BuTJbz<9dWZP6oq5n z%y*UvRCs?TCHm*ewYBJ$%in7k&@;6VG>@e|OCFq4F87c2-=TBqEhM-UNeq#{7Teo@ zi-+{?NM8niqie`TY{ajrQE7{s;Pl>hdV6{aZ>!}GV|jkk`)o+${eIB-6WlT8=;zti zz0CDB7zG}lBA~Dtqaq`JvLfB$j}Co5F=x*W0+@1)tE=I6v!=;SU=RO|m%!j?g0V^D z#$tpMek19aAF8#4(+pg+IAqB`VPU_#9HBlFC(YorbPuXR41ZxM7A|j}^t9^m55`Ty zKoL=nZ~5)m+z0_KrIv&)kgNN;u!qM7CWjnS(AolP+B@PBcp!{&(}v!enay%4XUq3 z`2Uq-JvAyM4(tfL&bYmXKRafMvzh{gxwrh~E1R#;iQYy|PLD5dQ*D;NjB`7^(L_qK z;p!TiPg6))mZFQCo%!2pDC#m^KC6}~lH@Ro{GVoskrbk#FbAoA;aB>`QnYVoDsAsD zhip`qpBIhkC*=G7w7$@En~YjpO~jJ1+uW_=*njYFoXkvowq*g+#WH)rg_}TuUb7On z#5=csbPAs{K1v{HXPGu70f3EZ1bU=1H0yoj(Uq$T+EJYa8p;ZW+P~AG?irk_A8%58 z&#N02KdtxL9I(IZ=Gs@IIJbGYO}9Tsk5Ne251` zk+$~SuI;~GB)9flenUB)KOYOhNK*Z-{;sHBsU;6L72lkgT8tm^lZrz(u>=uOl|xe< z%*m@gjgM$>=zGNvT_efb#>0^kakeng+{www_%0J%x)^Rwmu+ZPOLh+t_4eOV@f5#f zhJCFpF;rBGt!n%sr1Y|8&%cbteC$F*KoAltYL_yt=4=y(g{fEtpj^+I2aCfE4l7;R z4&~+j7S;?XDVeo2`2FNF{Y{b$_ake`CD{??=IE;M5-bD-H>l`OHenr!B>A&c!b9ka z+Z`yaBoRIAZ;K9XZ zE(PEPw4Z{9)mY_hQ#NhsIQO%*Ibu(_Ig5WjA_buZWFz*ZKCxyWJA{0m)|kRZ332xw z9EqQuD-N4!b)gSeH25vYQUqD>_4U8R1Ycgx>F5~P-nkLBt1j0DKZRAIyNdhe(m_R% z>YGQ|A|}rYpR`748;q@0eAr@l{wkofVIijsU+_dy*HHRHZw8#H(A|m4T{M0qf2QLe zIs{T$n&R=1|69?Y?wkT~Xw`!~3&hg@C?zc*(4_bwFc?O-troX(0u~y2csm!5AQ1*R zG7>FXn4L-4T&GeL(Lfzef%L&qlr_+3hlN#PZ6qh=oh3tGNMlLWR@H+v29Y&-h){MPc~BIKWsXR3CnTAV>P#T79*LN1#{u+M4u z?yOy2W~{%ULslHf1*$k9><&?2B8E9hIIYqqMg=NB}^Ct!sZy^1qi1JPIrjkt}O>qwo zeM{&9Y&F&fuWwYx;;v4!e)Smw6R%`u45w!oosa z98TcVet;{OMX&{3viim!A887yVki>^m}(l)KmN9`fm)=qC8Dut(mGF`n-hwhFQHVU zLB1ITgG1HNy?gbIh^%as`T4mUd>U-_vQ^og;%sfbJ9MR``C@CvH8ly%?WI~buDg$k z%r~9U`~&@&w-2i*@_hE68(%kJUhtLzzfG=F0YbwXUlGq#KIHgu_kQF&y~%(;!?vaX zwkKz0I9HLHgD6B2muFd(H_=v94mtAp{`kIB<$83KKWOfuuypAs7egx>8>clUCQd0X z>Da@6m?#*7ethh{?b)VBLyPyWsr&BwD%Wu{BRG|D36?q-*cG*~vedRmbp8;X-U{hP zNM&qRicRF*d49;R)uglOEbQzYoliq>UOnpMIJxAfYx3K~v}AY(&o6X`>E`iAKa!LY zxr!=09X-Gybk36R)&ra$Q1UFv1yqhOQ$_ZqvT4Tg@ocQwXO6tEUV;f}i0GYd)ZnLFbS5t8Lo1$_l)l6WS)!-Po zPygn?*V(JIimq3w;s(MJV+FD#T*F8&Y5=WMX^YEL+WR?du-EKFT7oAZL_b)Bxf)bd z{2h-%sbpP*l5&T4yfEBWqc6^CdD~x7a{_`K#uV4Wd2+HL>Bavsms4^~VCT?L4kkcJ zGlVDSE5L1j1>)uw*ti8h+tO2uw}bl~o|FrTKUuWZ&be|_Zh zDKrQ)d>k)XgfFDI^w2>f4NrJhG`>QbXa}`VbAh)c#nk!W z{~fn_|HsyZuTa4?Y`@`g(kGlP+z|evnCKG7@I|RMzGGP*a>yz7%wmdwD9cF zW$-O!*@ExvB--7@&zT2DE5bRSu~so)(P(P%2rzplK_f>_DsCuOFCY15wy z9-inoN0hW^W$CpiJvHHoP^IYpsCm)v47G_+Pl#8VUSAI$*y$^F$h?Pd#0Rq44R*wT zUd`NENqCl!(0^DuQ3@NWgyi_@pYP^<&uA(~VxoTmRaX)tjF?#5%gYo|>b}r_6ym$A zrOLCxqGI#At?kO}DM~!?(Bh{WnIs(CKFg23b31WqJK{|^CsjD1UufDA3R&w?>h|Bbn6`{LZRyFXuizuQ8{qs zI$be%5q>dplrNs4vPuZr(Ox|+(r)rxG;>YTE$lQI08<5pL@)^LlN zFhopZ@`vZ8>&w^$1HxMFUY8s0|8%~bU95Uuu!-h1F4(8fpx#_>GW(?2uXvg0*ZeKO zgkIE~xmh77W~lNulCD2P!@pl=NB7&OQZA>X=7DmN_s9jfI4!iTKJp@4bni zN9etJQGL;1Y(UngbNDt6|Jsb67s}a%9k!S(%1`lo^#r zlo?l^ckH-GJJI}`i)4o=R8%BON)t~Qm^&-cq-mFfA9N(b-hZn+M@sC_-nVjc5wL*L zYTzoh3s-l~&Pu}mxz?gbyL?nZieHdho$(eMS~PHQqO-#_JoC{pZ z?ku9TwN~IAUL1!Z5}(X_Eh~Uopdf{a-2SD9>o&vx{ag6;?f3*1``eMU9ua|a%Gh`& zjGUam22z3SR5|-JJRqtuvYy<9RTIPRQ~BIpQfgOLem4|IJQ$k@8^jVM`>htk!L-ea zK2P8{M@YqoiF*rSK+OdHF_iKKXP+&7uVo@t(V!Tbz+X1unzw7+iV?ALK2z$$XtV~l z<_u1na@d6tNyY*T=od9p>j%`@Cf?9dMC6i^V) zN(wc--nF6U9nNd>PAVqWm&@N~kShbXw=eb65?U^@${{3Yyp)xZZJO`Ap-E#7wzT+r z5JsT_akdFtKL$WSR222~{M%-HDP=3mDtB6Z71Q=IGL(LH3BjHuzz*cS^$UuAdF4(y z=SH66G({B8T@xu}l7zn~S=TEnznDn(#u*BFaKJ5coc{W~w)geUJMJ1d5tPb1pOkP1 zIwIp(6)2sAJV#WNN8139@0J;J{+bQAzH>chRe9!_3d-xfNZ zQjmx18c3(BT1)f0{l8fN21JJpj&z4s)k#}#Z?hP0d@BoeWXbUG8BPHjW(7msxG;o( zYx@9;nSPg*3`bxWW-QQ+Cu+JSO{z*f$PWZ;PK8RZsKuXVP>W6=Yr-w*7Ky_pid*v}96EA!8I;_6 zI6$IGkd-V9f>Fc)jq+%1@Y$dVST<8hfP<^G9bwK93uI$0PLjrlzPLP&J2U$C z(|z~{iJaD3X^vJ(^{Joe4^tGQ>h0R_8U)5KYL$Tg7YNl-Y6IjBP)QmuJpJtfRe2YP zsv2_y?9WgaEEb;e(vFXN!oAB1T@XuTGx?%g*))bHmFo1H1zXvO;`-M2A*G zkAoLxEmlg3515_Cuiz09FJ!UjqLfeWJxXwG|8v7Xnh6s^z?;3fQ)(`C*U2kS%a~I` z4qv1tsdunx%Af6E8@p?l#{uiE1jnFWLMH6nBU^sGP3w&x#Xp*`j+A0olxN>aGE25p zMI=pC43X&(S0k?&CRY5@w(AmGV{}}N%zOal|GqEOPT%zmwoq;Ze|HVq4=g}2~ ze;ZE6I<$xO3n8$-XW*#ijuc8d>(P^Q5KQNRpgOE~0n(;HjH8TE0)FT3Yf1^{iO7LP z>G>OG;(r_C&fvRe*YkWPj|&#Ul}6idBJ(_YK@7QyD1a@1k1v$`rdj3D_`@aW=cu-t zvu#)$krgYO!7!#Oz4@~#v39_LAfqlV72%+n{fNJ4b>yqH}D%3vCbf4{dBC_Pu~?lzcO zo)#UGv26CfrW{RmS@nJ1a6wd@c!JcVvciwE6D9-Kpb8Bn!BaP+Up26u_78`DD7-!@ zJb{p$RTj)SX0=Dpq7xUdCK%oc)3dDrT8my_i$*6BpoPaE3 z&)U4S=woQzSGvB5UM)SVtx@r+)@?;{K4(wio-xhv_&NgvB=1g|v68AQ_P4o5DfKI5 zb=Wyoh@KePbgHXpe_DR*Nc#cZ_a1y=o7}G%#!3~@H}Zm6r4=1N7X?o;9I&sBJ?^LC zRD|V}KL2oIVeA?`LZsc;C0Sph6v0K0-snGzZCX91q9w$}pYIshZ?Q*G-}qbPyfQGt z+|E}7_SqTz!k|dCxojm)pj7DK*n| zy)$ZFe8VquVFfixEN<6atP2HSFyz6cXn}60_D6?^DLH(_rZW@h^i2^Z?UPg+h1f@9 z;uP9I@0Libt_*Ai7SD)ZaCy6)5Vl=PA%1)4@+}{;oru36LGDVfY_Zo6wCp!vYu;Nyi#G?W!d!=J-X3nC9Vk?UvS0O1cd-gPkDo{Y-deh z7Q+({T|c<@Op&wC7{c(oFgpXB3vMPx-B-8_rc1NM2T1fv8$*qdFc}Ia&eICCgk<_p z3EbZ(iS*pgobz9jwB7%fcTX%|D)y z;39;!dKWgdWu|c-LXFmvhP{@P(G=B8YfZw1#e(dE&J=W%AMXfXKzl#ih&YpVs}hh1 zHQP62xxoJc?MGXnrv+g<`(5Jds4zR~`WHKFKoknreSCIhncz_{s3(fhzad5%Ba1^9 z+7D&!%FAc5&JAPZapJiM#lsirSNGl5ucr^|(XJ0~t#(`lZTD}_bt@g<%B`jNE1{y@ z51!8#>2NM^TItXrQplwv%4=Ew>0&)oLMM0Tg^BfS--&D|6z299s;{y9Ob*U*pIgty+qIMJvhvpb{^`A2h2T3ql1`(Ex zO{4Wo6`dRCgaK^;@Jv@-F>L2z;liG%GBHw6Wkuxz40G*89YAAM{S_E%y!tS41Hwj*=B zVm`@A@_z#cYA?LGX@4_PnEzz?6+DOBe-vkIDg~j*5kid8ijw0KGP1Krzo64kjw(2Q z9)n@Pb2T}BC6RR9Cj;xU)c5C8miw*&hs~N8nZ=jpI$wum@7NlPkbjyNwbAQ4)e_mp zE~S3#8GO&(>7#<@woI?b3nAshjvhsc65j8y99HFjrI$xjw0bFV824f{YlrCTjsPoi z;ER&^OZMhfh{vTe4xucc4yd#44-G3>Z)WmB?`4wFu$^prtz+RZZEYQFnw^9 zkFjL9@dD zjQ_g#5<`b4 zUMYvzr*3$z;$_S~Z(SQV$*?wClOkqd$HK=A#C(0{&de!v${k}URo9v286MpyI`?z4 zU%uP4-!N^oKYp^(wm(0jt}@>`cn&QvW*zz?lXN5AJg19P<1X@RSpO}mldmcxmCb|B zaA0S0GN(WkLQ?22WM3co4&CR7>6a~+iQR)Dixm!Y>%bq_J&TI<7Xd=vZ&u!puWqY% zoB9^NolMWY5GgdDp-ix))BQZq#=D9BO~RayNV;QhZB z>Olvan*kSke3aVbwDGEpij8YV^Z>wEQ z+e*@g*q#lgLAGQ=g0Ca2%RbJi#L1i(iA??#T!>NWN4WfpFac#w0AA$?ja8r4cwgT^+xcb34GUcJ^3Y zE=c$cq&e|Qr45_7zUvF_7vU*f@7cW5e}iM74>d?>t9^1?U;HeV;$`E$qMhk^(g53h z++wnJ^OAXvOG`RUY7Sy;wM5-BLA(wt6K4FDn$_h{^D45M+8))_n5mg0=61XJ?lF!j zhDlhAK)Cc|XfB}IKTX+-~vGLC`k%^Z7F z5IUsCPG|u;SqA8nJY0$-E^%WxPc`$IRbMm;hbe=g(%H|Dx1aXgEk zy@U-u33lE%H-MH#$1{1kjt_H(#^`grP^$qFG`B9IPDu|LDbFgxuq#?RBO$`VEui3? zAfq?Os8>p;AcA&QKZS7EG-SI)=Kooj%O8Q87bM1oPU!fKFR0hEa^h@|&VQxUaI}*P zD*xr-Ev>8_5xmdwB7iDh18IOlpsb=SXbVn5+EOzdCra+01QQ_H+jV}1Vvk_u-|W2n zs*fZtF4Wf#V#YaLrcC)Nv&|>jwV7{{@A0EJP-c`)127mx;O4xx4dI!AISK>_RC2ChT_M}*PFtNatmV*5VM5NZ&eXQ) z*>Ji#rmv?f;V=z5{f7a~Y-tWhQBh^q<`pl5s6RsFSzDfQWZUP$$G1^nRn&_{SnqFF zs08t_Te6OXQ91q!I#dnF9 zM+27Cu+n3kx}H_mY-AoVXnFidY7Sq;ozMS*H+g*jG`W+AnW)JX=f6xB-_H|Zo1RlO z%VYk{Aa7_;(c&5?vQ<@|u~qo6Y3Smt*608=Vr-m8^vqe=(<7sQQrb0SV36L5u> zbL(;L=Toocfq>4puL|vI@^ZZ)d!v7-w$1tkzwx==Bjg3X#8E&~&R3~)fl%u&pTZ|< z_7ia=dqbFqUz;AyHsfD);ho8b&ofuto>1>&WqU2Gt-Gzu57oaepBItyvbg@MPW;1} zgz1$nf$T$Ccki>!c?!6S->^vJs6UxBm5*Oaynq7z)9La)$tf^|`@rgXR9mmn{aNv@0nx za1aP0I;8I8*ZTCIGIhVdwlEIoyg_1pI$pQQ_m(S?O#zJpixG#8XOb2|e5eL)ONt%w zr>mx{wIS3Mn->av!|4}g`E%C+b(-x@PUActpKjzIU%)STHGr~YMqz(WeIqXt>>KW& zEjjC|0VBHIjSeKDN zB_v5TSYfN2VneY?l`4TjL&u%1Bx0Go~P)BoOUMdSsJvZ$4#u`!Z$Bk6PJIRf_>p8?s!CCZok4y z`gAA@&0#JJ^)TYV{N;91vzLr;R#lb7;%Unm=3aoUoO6Kb0U}@7?D8+Ocd$uQSE?Ti zA+9i%*{6#P^Q9;_S%?|v>GLRfR#>$0WDfdd0AmZ3ZBS`RN;O7R=))3P@^0u+60 zb=~@u;AO46#LY!zdCE%jX>URtA=8H56B(uY5n+dTVKP#<(M8TKv~%-=ccN!DUb>T^ ze=QH&+=$#yhkgMa5(t$zz;5qIO4?7FrFUiaZDUja0m$-le^AaYI^j`Z0b@}W{zjBj)cW4(|37D3$ zvCh|!_+JrxHC`}`S4gMW@HNP>XWh2kvENY@_#crrQuu21heGe7T!$w>KabNNugB9b z43HI5IWZk!e6D?Z62XpZYLSnWSUNXNgQDkY7E_W>#0{cUDpy6Z56eWu3nB-t7;-tMZr^fBn@j z8#WRLsfO2h&oy^jU;i=?ef~ox9&sua;=a+vd#oOZX>*vK>7w!V$C5Kxe-^D{J1!lJ z{NNk?E|zqf7F4~HztH?&{+|AyV6NUBa$-TkUhO}o^Zt3ENpnsQDi%#4$$GRRkc|(= zJ*#SY*ZmSzS;J1oM?jc){&O$_$Kr5(P{r%%8x#u}EYmj)rw|kEEUNK%8V>|r>;s8^ zaeG)yX+$2mFN>~dB!fWl;b#3o_GkNSC4Uombh`laUW(Q8-U~rY1y&5a5eX_8QoX#l zs6A4n=0R5!3j5e00%J1YI=+-EmVr?Qli}YEPp9vFX2eF8wNl-wLAFhy+z#d}RCbb@ z0_vWxD;XWTO5-h?KT(*SH|uyNG+DnD3wFmLG7~ra32Xl%OG77vK3MZh47$~Y>lboX z+x!?XU@p1 z)r?&WKUW45Q_FsK(OP@vS-Jper8znqN;W6Mw%JY#>Z8>e&#E;}VWty`Us=xQ0N*x4 zM7##`GPdH?tsK{ypasr{_bD@NXBQlkQ#p~<0sZV}e05!?Iq>Lvp+Ptyc_#L+bS@eO zTSX{lm7gH4Zzxq&{rkm*4blYB@)3cZz3HqwXFrR(N;1AADT;(WI`V+J3k1SQxMgkR zmsI)vER|82i;K^;?HVtCi9rf{pikP3f}(@xk2PnmyyB)yz9$lfQgNYNJEjU1H-%>sYa-yP59(jK$XQ9q;XEm9L zqDWLvsAdVWn@*TIiMk1 zB_%Qo3v71I{N$Lyu|ySh#Baaqe7m-Pw&39W(EJOD zTauCMowFA)d%}P_K^P1_!Gh!} z9Nt`-!NBV1!`XT;tP&ym6a)6iV>k=q;uLx;Jz|n zF{;5-wmo=u23K|QrQ5a&%jEhka8_X*(yQzDClSAAWRfa0dW_2jhEE7&t-kng3I2M` zD{YXMfc03ja%9+amihBtn5?UbR*gFe=sCvE2l8gC&5S|J&KG1octRSNcHafUlXRr)mSzoJPuK1E_1j+Xo3bAPr6}zdcFFJAbNz!)|_z~xx*uT!THq>~Xz_jTxALuyJWp#GS zKHfpaqEO>?fYqYjJDkXIR=q@DoZWEUVei?W`ru%7lVG0_%bwp#@##rPqzm(zZhg*K z{FgVR{P5_rF^b{i9T#>?RnunOVcS2H!TLTMU<>uEpbn!U;o%NXl891SCZq*M=n1sX z^1kX~=Q!5nQN$lZ;K1dncQx==Gr-m3rl5pJlx01j7LJVV>9;mKd(p&k9U9p+tul1% zT2kzM`4j7m6q2o&8-1q+ixMK|ER0!rvKel?B7NOhNMxuj2P-83GcAAJC2_*_8o|cp zb@hpT9uZ1dHbe?kj^Hn-QM}X_#I4eBTlo{TY=9zYziH^c)QtVLm9UOI4Ko4B3L0U5 z|7y&pxI+W{V6iRe;pMo^*%9tZHHDz3X$>7sG}ln4X<&fI=w_jG>Xb6}*Wq1eG=+$6 zno|B|Lu2WJpZoi%rPuHEix3*p*~(x=o8V&#V!1p0_0=C}a*}+0P*>ndE;g-ZW_Rl& zO0zf+zrG?_sN;M$%DjVY zJM0x_K2e97fl-<>3WowyRNiw0U6>T!5rWze`e3U{&giqop;{L&om{5!gb+#O zmJKzJzkN}`=&BaiPH!1}nxU}-DdYtvQDG^^r}A^u_<;Q}h@Xc+btdx{M5B%&#Gl%B z;ia=g6MwJk*sto#e!pnk#ZoXG-W?)vf3Vx#72-3URym;5K*PI>NZ6*Gc^qEo=+>^R zFm`bwv`&ss4Us>{2#2j?q<}KsTV$V43)Diop5YRix(Knw?Ixt-7a%-zkD2kCBo6?D zUmc|`WX{TpYJoIQ^VwY-uqx7SYP~WxrFnG zb0BrdPu}q3VchJ~mq3wupJ9a#C!RNoxu9XVF#ND*xhWeGfAudvTK`4~&XPX}2)h9;uu_syIvVjd{If zjhD5W8=tP~wBbo*Fr`a|1h`r`s$8`--&`*9e+@NmYp;Ab5>1iU^SWo_`NovTcxl!j zvi4NlxyaFL1Q9J!P%o+A*uNevdiiV{CtI)~qT9kM{|478#K#^9wB|H8;VeXo!tYVM@7R%y*1_Ae*EHk(UmPuG!3a6#PpI%&dg9Cn?96a!3Mr~IrRK;mKnKuh+jmNKQ>y!UAO2T zk+GOk{U%fh2C=G#FR8CAO7=U7Jo9b9N?R_fong9|o8<$U7{Aec%42doa_CZ|aua4i zF{(z{j=Bbwx$bixr!Nl!fEuQkm(OXOuc1}eI_Zb8}-hW6be{eWEip$DQ)`tLqX73v=_1$VEuIE%%9u0ZG z6yE98c)HEi#{DaCz-*L9y0 z6S|V0RlfeK5T*p~0(f}dHDMr8vmuiZ@>|`B(|R50A$p%zHcP=JNe9tQj(7s4v=K3N zpTx3^Hh~rHV3rB)y9Wb`KQPuft~wBGbJ4-SjcAlWSwAO4-hJ|ytF@9O;R1i7qXY+d zJ9$H#8x+6Jq%(o%>HZ)O5Ex6V>)(nIC4(4|&Mqvdz=o`TSgg^}OzK;^e@p5Y-M}}u zoE}h~Xd8T)$c~yiF^h z`?BjcZ+@3qfvDqo+8cu+l`JK|5ge8&Mf-S9yeg_X^4H%=0+hgrFL1^-u?H~&US0Ji zZ_1c`aP+$vnl?UvV47~PQGXSzc;~+t1P)H#P~MtP1@TSf;bUV|%mVku*|!WbXx0wX zD!IMU1KD{$i22l}f&01q-VMh3#eb6P@u1&InF;^jEC5XR5@&@ZT-V(bMf!Y4=f=Ry zRDm^o7CWkM1A`>h^vEmpGBn4ud1kScrKf=TPk%+pJUI~+QWA0zEK#J80de8p1wFT* zM$WIff8t?;;0Pdf66GZ5ncw!X(zGlG$1V1DAF1tktEmZ2x6ZNTljTTw#XSbaBo2&m z(US+d&+6=&8pY}UAtA^1d!K_~JY&4>Wn8Ab=kHnl;P4t} z=UE|f+xQ(7nl4k1@Sg(EjEqyCyeXmAssOQqhvcM&nPCdLkEuSQA{mj{j@ikB;~5X# zPi+?Du2AaHz0)AX`;}!!77KI5$|E&O0Zi$M{qdu)4S9_eSp?_tmAkDEA4Y z)NZ)UAF2HOJGQVtJN0jJEXij(wCJ?nKPY5`Fk5*TJ(rudk~&!w@`XWLF#y8RS|K?c zUQo=gO7=SYV*cP2Zka1RBSRlCS-=ioC7W9v+N-&Iz;LaJd&Wx8Rc*!})kD76{mVqx zgP_dnb}VqwnJcHLee{h)H7C0bVuLt%p>vrN+(O#**%u^z?Pi$;82>=D>F@ zi_eoMQ8p`Z-~~PX?1{K>4MNkJzts`)Fg1omt|&Rt8|?3J{dzB~a;w2xkjI2M?I^h5kf$6FH z3xUry?Q6r5iXOBt8v3de33|*Z1t$Go4 zddsb+8rJ^p?bny1->?=%<(o@|#3n}Vav^N-DFb4ObHnM`d}6H4et;zLJH`EfG+kqO zUR~3T8{-Ze+iq-Ijnmk+-PpDp+l_5CNn=}2Z0kFHuj~79{w6smd(W(yS!+#qG?bk^ zC~U63S-f;;RGMv<7z;RSJW}Lx^s?Iy9_h;2QAGs!Bo6F9OL31^hpPq>_tSm~GV@tJ z-70+W`FYXG;bkPn??{}b5{z2V5q6|Zr?j=6wA-I2u~TB9scMuRZ5PavZ}KZ|>HFQ= z?)J~w^CoD8+SK;3c6EL%evIHFai&7M-b2hK=q(ccJT$xSvIJ*yvOtKZJRkd`nn0J2 zx{tCa&a@CChMdqvp-g|VYR?SI&K{U*M$M?6K_rTa!S)#b_c*77KFnj)_1*trlTV?c zqWjf9&)ZtRz4Fnvq|_UW1KjkBu#yS-S5z^_K8oRRmSJ+mc?*!S+#ki5h+#e}Ben=! zOiT}E_yX8b+@Hq%jb8;ik9PxlZ@lssl{{5ccv%J zp=YGO__atM!9)pdyj>6PT4K?LQp-^(SB$!YdtlYusL=)}(F|>BiVQL|p9~i9nAs9I z^~qHf5AIm$MrvY_CqcxOK4kJPu>!Hfim+5Ahi%p}z;q#YMH|+_G64|C@B52g*^-Einq;3wd$kij~Ft znOi+x*ILU|$I6&uj3GwYE$rK^UYa^MBD&!L*X17-6o2Db2$g!llC}nHk&!?Toi>f8 z`=ez*y<;X1=yp!PDFEGB^@9a+P6;IrUeH+GFV~cy)(})3j~VfQPuShZmiJ}M+3F*= zo1{*7L&zuvy3Xw|x`m}JG46M@*j(R>rOv;3lIhNnIm3;57w^wGMYCTi{E%@c_FixA z_-?GHI|#NH_pZKVd(z8WW%5kg0v`3)cxIa zd%Z<-3pAmjMjW~LxZgq zUlun>DofZW@nuDju4>Vmn44$O!ac8Qu4IC#3}Gx&rIwzfVO zmjZn-M>wS2*mMopk^=qv`_#5MS~`s3;)uDPq>&6*3f5l01%!hDQJXP28)a zx1RZZMZ)bg^j()|3{6Q)IJDXyN?1-}|~ zsD|DR#kiff zY5S`WK;d2}N-6S^u%h5V+51&Pc+Pa)E{*4y>ab(ENVlNd?-+NkG}oB~Mc{?a5{v6U zWo7%4)~86$Bn8UWM?ezKdIT{b98X@F<3>uA_nb+#1q))Wdr z8g@~QG?PcWzU^Oq*CT7}=m;j6b)HeUuYZ5_9#kNKbF%V{+UpaFhi_*uh3ssP9X(um ztH;*J6V|j|xa4|$n6ego)dfmP;^RvP)Bm%x*}Z>WexH-9i*8$y7~#|cx~B)Sv1B+_ z`)A)24*RIwjlPbnkrfXn5bg)tZgl#+YFk)s!S*&MDVmR{#Kn&lc@BL&+Pj9P^L3d_ znuZURAlM%#*gO^Ch+)7wG|YWQ8Za0r*(_x4KQPp)v#T&f>; zM$6C~92sw~=AXf(Dq*Q0=bK}5bOJnbeA(THg&8INk+xc2UL=Nd=S_2->};PY>v|cr z>FWr3@TBRLMF_ZQmInzvt8 zlrIaqEr-+GuT$*zt2BBty)R#&%Uh#zCu>Wc_tZmCH0Rkhb)FC19mmw9bA8`PnCDiwE*JKWXqgVbo9PW?aecwhT5{t)-G9+OTUYv`~mzEyp3`YOz7R*|a*(jm;6 ziUHO7+sfA|i}?2trv$#Bvb)xQ8yXFFT61+B%d}o?R|gEd8cUQkR5-jJaS@SmZB||O z^VCKeHVqe=R1cMgn1hED7m-K;7LY`P0=pYvGrgU%@f=Rl(SLgFvp@}tm}QIiNPh2e zB*V^akI3U^k4@LT9cH|FaaJt(h5<&rP0LhieH5Ivi9o$1&PR)b&r%<$lpQ=m*c~>K z=a-nEnYc~Rb6C#X;&`pS8N*apmqn}byY*RnYrE}(zF+k+p(LyiK-;~!YdT1g&*z2gWzLS=BcSqvv4 z5TB%{@;lYrbPtT*+g`TMGg>-D)UylwyDL-$VGTS+iNA&!fO&CD#=MrRidvLk{W9v- zd`6-ZueS4l*lnR)BZVA^+q z2~?S~w_Rbw9`&Dj&ryn>=Ye@7#rq)y-e|*bb`8FUSx0$3$tu&i`hD%0ILCs$?>+5V zE|jv~vSexcx0G*v#gIMVH{4QU@`;WCYrtqE&^1x1uXS7^Ar_ZP8V^ZHb^dtERlk-VCTjSY1zAeH<8RDQ?HFz2>G1YAd*S#5d_PLQoB6Zf$jbG+^M5s*h zS#FA%YhxYD5vDW!EIKwcvN6ffc6VueZqB=j`+VY8R@NHdkA+p_yVnwUOF(JJcb^D6 z#kh%Az%2s7JZEQe6DUZlRLc8~9#StDRN<1M9q>4Hl&^jcDvK4ykCm;O2J~9Rnfa;& zt!fo&;f9Io>aK9y-G5zXPd8j`5}y5ArjY9GR%uqd5V>?zYQ0x701{M@qJfi4f|bPG zA^dVl%vETBK{F=d_c(~-+mRi8mo?aLwVMW#3kzC23{f#(XC0HS<#BGya-FA6iS)VH zvdh2{1g8GcCO+#Ah1w#n&E zKFkX=@)w&;oh-+1&wPkTUvXeu+-h{`bgTajK-gtPAzO9o%u(>Ui2plJVK=wiZ2hjr z6dP=~#Ml=a)09B!&jm{YyWklySdy!KkSPo&RzG;SH$AwMXfg|v@!KoT@aGN)FiIP` zdw(N@59Ri?Dc0Sc-&;LiUT&mabEf9I{V(VYCoMdP9!ELzY%|TkrYzjnbIde(8S=`L zSjl`30ie#_)Tyjkrzpe0e1W=drFB_eqr3L7I*a?G+C>UEp{%7}bAU~}M4#k(gFRcN z!C@O%&!R@`XaLsUVSQR53ri8`BY=t1<)8PfOLtLc{8BmF`H<%9^Wav>`J&39A13IQ z$&*4PnHq~EjbqdldgV894hY}9pF)T5@%F578WbaW^}Jn_#Jlnl+hUYb_9H=wHYI)* zJoSqW_OhL85+#N5AQb_Z4n&Kjslzh_2hzR7B;3kY$b z5Q&y+1uAM9m@WSnt}~1ZSX0R++g?n1N&pQ@sDXk|PXyOye`LM(Hm5-Iq^W$>x2;^i zRs8m^pUoa;C}dwdnadBew?`ZLtGM_LJzP#5z`hOQ^Sl+u6`5XCDi+O&f$&9Bc z)51GJN2q}?qE1}bGF>&1H!&OY5NH=YoVfd#RoxPgm9VHw(X$y%LvFkVU8I9FdT!;} z9=M(lHXhLx;dr#yJSXn$jf@}rhbnb2Z@TCf)*KlVsPvAP)hiYtWtaFXRM#x>Yh#8C z41|b_f7O3)^Phy?)GS|Aq@bIruekj-^f#WE5c}ypQ9jFx3C6Ly5J)i_+fFoSzs=+N zdVdBC7@}A8sVj+;&40WQ0_|xjO2Z`uVe704pDuO9h76ZT`z=;7Kd@lK1}dwY$%a<28u5>aB}<@R7!^vd9#(>Qp&;JS`l}*=tf2ee zWAof0;8D|S_Dgb-rC7is#r^*3xF;d4GG`TMlaQU*Ze!OUMUs%&C7b|DUg4tF4YrFfe&e5b|2X18BiT(z@n$C6HA zND~b@Nq2LTZYH3*#`mKsuP`zZV`eST$4raQ;m- zRT>FKLUG5T%wT311_u`_n2H1!?e}jXS!-MMKm6$vHLcl~A9seNL(gdSRCXJ6@MN?2 zaL;_vhzQDX_nrCQO+6VXFjzAXKi}Vp>PzjDhk1xDeP3N|PA&vqAO*y1w4wP%_P(VO z>7JIh1C!uJJ4*|&(z(N4a7>(>$qES5rn5?v#lCA{X)Z)#W7-%le5~KUD=KE2I&G0+ z;oSz;D6ca}f%4lctAh|d1V;`$;{$rEK!jpE*JKX3tw-$Xw6~a>=ge=06laI2nrNo-N`e@E-lyIhC&WSGI5ei56)sK|wgI zJ97B?0wQhVH1xZ>`G=G&)QWs7<3bZB5qTc60U5-mCRtoOYfhz?uAWE2W}D-k+*cy9 zgsGW@#ojf$RzC%p^pf_`0|O(Gq0*J+NZr%_lGz9(unv#9Zy5Bl9TZ0V;YiZyU!Hec z?Dk^P^aHIiKkM4EL4qL=!6Jzlb~)#OstCMD>#Ls!L{#*E_*f>&;D)i1`zxjmqe1j@N%m zd&}qi&RX(iix&in$j}S2wM~3@SamI|l?1Mfg;J83dkgCb3Q80^8a7*qrHCXI8@ufA zFw{<+RV52wl~H~sE``8G%8y0}sq*$5#b|_1Mk(^X%dkcDg@FqxdNO4hnMKl1(E;)- z-Ur=4TRa$;@`f2HI*KG`ZoX`$-@JsD(WQLusr@9*DCJ&}zAJKOWsId3P$`<bLtG*MgoI(YL`&#IQokNH1J5jmezmJI3dmLP?Z5tW}os<;F z?~S;+N?u)UP1nnU`V$Zg&(K5+5rcr@GF}EQG>mxu7r-&I7JIA4EK2q{^7rfQisP5% zODSxrjKJIS!92?LUHtx`hxrJ~#UM|jO&wuYqxBY*0>KjIfW0221jo3cD&ekq#bPJ)07{dUbEDoQJB10>mphbA=QE>uSB z-%X;{S>!3IBGgza=NzG7BsjtCUYPS0mFtAwpQV9JAq;LpZ}TDQU08z z2_H%MFQbC?!bQYcc7^u8>TGEB)BW2M&OABzV5K2kZSAE)f4{DOt~SoF=_TW!%GxwU z#4@mBu|RfTcIsf-Dx9h$jL30XjEIVJ1@ig9qkEbFP3+{S)URh1+-w)!k4u9x-O#%7 zOph_7#X79TekAljE6SV?rZ`dP7rmeSBx*(46J(RN=!sIjt(usNkqB{d!;6a>ZC|OD z_CMDIe3<+D?b{XLm(mRY8kNb(aopdantY=V2V4(NYD}}u%Ntd7Be#%Mu97Og%8by# zHSipQlW`9jsA6SQB!mJ(3ef3E-;qj&AYoi4JzdJaR)t>Nbdv{4oQyT&eOn4wr0LH? zhR5m6ZqX{p`OSGSH?%*`BfQ&=lUwFdJ~gJoJV+T0|BacLr)E&HHI?DiZM*19zfEgd zc~8P)6%4#q6X6wn$06jPPDyU6Y@DOS_;LQ-G8PL!L2O|Wb8uOlvZQEZqv84EuZr-Q znaQX>PVGoq@D_}##ErD#<%CIV=tXCoy!d}I_g+HQYG{SM`4I^I2I=@Nr1+e_y4QVU zeRQRvILc`^?Q^x!F19ysjGus?wY=xbn|7X1^c$A-{=)JHqBLi|pJ?k&{fBl+$gvc? zbdwZi;fa6o9K?VD&yKLUN44$Uu~Z?q2reE8Mni-c)ZX5>2_Z59Kqen^u0|kHN(BZ^ zWwjb^NjB>8lo`J>O;l*4D9tIqhoN^8QWUHcMvNfY#bHT=1p$Gi_Va1u?OyN``wPe} z*wAQ|duna>NX7p{5(7SdTA1U@N|n`R;`DUWARIWOMncbX|JLoG61*W6n#j%ke*${z zujHKmdwJJYO;VrGqhB@MUxqk1*yHW1M40GQRWSqvicAO+Z;pfW*il>tazVRZ8Ds0dQ za`Myk<;PFKm)=!d=B&y7(eQMvBSI7xSBBd6n39LGU6n=&72YzKA{kh5QlQqN2qr}X zEX|x^)UvqWPqzSd`bVEHxeaF5+lIHh(`nA*&H3kR2xi9%=VZB%ReEGiJ^exK*bzyZ zTAZ^dW?Z7efU1eK3I43-cPurlUAGRDYUTT*o;$T}*CmAHV6R&Ql)9U4Hp;)!g}5xYv4^IG8F6y9sJvF0j2ch8&UYcCvW`r>&dp8%h&p!d3hDF2=%GtKk%Romp}8JB6M{%S*Rkk zF0#AZuiNQ1`UyNfH0#yv;CXhbdrbf1nTV+Al0zO7W&d#+Nj=qxQh_21^GOF)o;m>| z2h+|PXPXv*q~(haW5gP?LR#c>WbjDadAB)DMB4%$88pi0`yMYqkjIQVQKuHE2Ma0q z6|X_cqHpKQ&YQcuquMtnK=kwm%6q($1##s>(K(eGUvJ<37;ILPe7Sa18(KM6$I3Hs zXp$_^lK+=$Vj)Dzh? z$g5+Nw#ZY8sX2|`N3oOH$+Mt$9UK^EnJ)Z7>z~YmNX1W z7B+{}Mwx#%YZO|IjmPgcm&}<3kbxI+hyFpY6=n8>A^X5WIJpa(zs^I5f|^N(4lhm- zoJ=*s>Vf80OU;{d}BTVTf4dAR*qcHF3o>&TwpKI}8Zhl!_8c&mwCkJ8NjVTJlT)5|9R@u27*7w7vSxJ=|uB8P5x#BCmx#pHMR zXlaqYT0GKSEzI7o%gA-f2Rxk%gu`e_)0L?N3E}CnX*aJ6LlU~Wt{2YouK!%}oat#W zP&3#9x2*&Sr9E7yPmAUwr z&K%0h&6IBvYJEfgqWBGpD)K1`XlxJ4+rIVjZpt|uld0F+IMQOF6(_b&AE9dDB{~a^ zU(u3~Z`fUVB?$CHPU#M19I+qejdTg}rCe_MAfP93Q4#foaN71bY0-RSo{%JcPZ`~F zRQmxwKV6+KJiAVR{Y+b1I|ByWmYsQh8XOU^KWks{{l||$uUGX<5%BNG3TQ)tAe12p z6K5IKKO#K3+ioNqgg5=7Y)2%C4~Z=~#H#4SLP9z7C<+U@DYkS+bx}UZ2^tBb3YO&~ zjc5?Zw*eC|ExF`H#du`%rOhgD?fS%hHfG(={miO1a-L3UjMzY}H@@dW*zO(apo5$s#cUtPl|3pXq!ouh zNvuIEsH@_vi6vH8QSg!+HF1#H2KKi=vJq582Y%O&z{JeKG2F5BZU>N|^PUE&{yRU{ zJvX$hNDu)>i!&zQi=QI4u{O&hzxX+J`QZ_@Rd)_+ zRCtC2@#Y_8p(-*^FXos!*}3Q{h8j(DB*UI8QUNqNqV!GkpYDHTQjp%H-x7Q3$d zMK#>~l9N#rW{{&8U+k!9seY;*N^=YHu?jki-ld_IvpRgK$^wR!ZOY)D6>NPv?YSTi z?bY+V2^#!@)Hg{L_VUDo@C8f5)9cI_gb=P5YW-4_s0UxSKK=eVXY=szAX|1d;U1${ z^Cp2~tq8113>M%d0fpL^_|S-|O3}q7vLM%QktC^*$owit7JJT9I<-%tuKS5_e3UND zLgnBEESPi{U&F4J|9BCiKtY21g+NzC-6azkab3lxoAu61qTc*Pb2!&Hq*$VIls~~; z-*EBjv$V?u^tbz~!ag^bH526|?%gI#h?6qLwgYc2S*gn_lb+sBR>|_hA|e*>9`hSg zeRehvm zI#lqHEi6-ivrSkQO4CwE6))_6W1&e;r`H&DEyF_8i#x%+xTW1tLhtCk9C>)nZ?ulZ zVWp&ErlhJ1avfb%ca>uwiFOJJwygig0zNR{T z*D>~056o;Mi6Y=E0pfeeio@J6D%}x=U+4is>*1^0Hr-6_I%0)dP(WHdj{&L5~O;WuvQ2qm8#I| zAeUS;9kv#A@W$UVx8TEYYOIw1B1Y8y-kd$<7$}*NdUeU1*{s7RC7n_Zs;UJ2>m%VM z%gEdf7LLz;6L;oK?Sa$M&{*jEQyDP8vL*vXOoK&|3+y3?mxHGqI7w}R^6QZie|SBx za&Iq_TcI^s;~>ouAqSnbpuri7^-HB`4gLc& zabfm+%c^+ywO}&^()B#Y3jOeZ;ZEMkD!+;Ze;Ij;ko;#ORx=|sR2VP^Hz}WZNV&jh zL@VyeN2|*B9bTyEzblVqYvX3`!U{_M0U?-ERV8n8Y|<1lu|iri3l}J37qNGBT->E% zwJQU9SuH4MZkBUKhN+WvR?~wFrzEegN>23{GYVjctCEEQFY_cuCbZIpX{A(P9enK>zsA<@c6Yj)M=Wl4J_vBsE8|a{MAv zD_u3jA4ABV>mc{%%>%3`ghC38xwER4AnvL^Y$PQ^@wT=~*CI2pq$&M!rSXMi%Q-ot zp~Iq|e{jWRFsrKUjDFl<95t8IX?#@*G^b51t$?bLXq5Z+Ww44t!^_kX9?H;c-kr+? z1f%UQzyu=`FgG2Bkv0}xnWan_BF$IvUB{n; zNd-%%Y^aB;te1v6z9JtUk7a3 z=*qX?OOLd&|JI5>r@Ez*3^A9CGyKO|>mW}t}W;3*M|5NLDQ3HL+WiiwQXwJy|q)Bw;5jo6BgByR& zcG;oh;Li9xZN|dv-vMh1_dqnZkyEqgKsq5>(pv&OOI&Gv?8pn z!rMj`;-jyZQOa)i3%8V&%KsHSIEz13rT=A~MA=b|+1VZ5@-RLoX7uF+6DfJhM0Mmg zBpqa4QXU*-S%Lf?;QK4jub#>pCVH;%-tyN183kxNs)dD*FiS|5;w7%;!<*f2>-HqHv5}uwt7#>XWEt+1AI4dgwiR5sQE26C>NI$EdbyBk^_~)W} zxY(Jc?1BwlYV*7Wo8-UML~23d;weMs%~zJzOEc+V1JQ9Iz^)PWjO=|i^Xyo2Dn~N#NvFZ8J|d%Acm}V6pGf=BGV8RK z``M|JE^hKIewxgwEo2h1vCuF_VYH+VRSH-{5I{lkc|TOUx5*tDAhaunOyP0jf6+U) z`lnb!w+4~48L2s>E>dZf#OyVE{7=Sg2-sYJ3pdS?3|VOf5o0_JW~^Ac#|^Xyf{ovG z8|2$Vy(IT*cB8N=mhkM4b+KJ`x~h)BBQse^;_hsPvl=8I^;KYql1Fp@jYABpZ|6L& zn8lTk`Dat;N}a;|^2(eDm$I_3(dB3LY|>bvD@j=xtYD|^4?ey-daR1XSL)QO%eb$~ z_@v6_xFm75)2DSR^YJLzg0{&W5EZmr4DT>aHtjGLW}kU`6TOe7axD30sv1j$=Eo4I zKvQV{rs4^u5h`&lMwNR(1_K&mIWT6((n?T93+biqf&h!P6-(SMVhlCzoa*;`}&D~WD<%Wh!3;l z#gw+`LKe%e>Z!=VrhN0v@`_ycfSVER6!Gj+$1&B1D%^n`oj@p@3ZH~38 z&DfUL?#DJS5caJub+RDz3$@6ATfu!2E{0!Ni(;s~j1;r1i)ZCOONWJ4pYCK^Jm)MH zbLY`Zl!+xU!YVq-j41GYKYe@O^9(^2*8^6L-;K`UbRDzg^!&hy-{`pQAVe*8dCFMu zxVuDis>I6O*wdf|+&CP{*`pvKA-DqL&K`9Pk~-dw_&#C@e?j0TvVI*|ov-wkw_sBX z|Io0Cr8NRn2`)H@kd@vlwqGKCU=8ktTVN!}D2(h;_w6xhvq4xjXqV7gbGx{>T|I8S zV3W?^jHxEZ=;~JHISF7AZ>&cCwl!sur6kGu9!Q-d5gk*$eHjX4B06vq>;84rfMD^O z$^h}sn0y!T<1)OrTQntL%cKR?Ku*r|H7`J+Mv>+)R^@K4x_C;LS79Z(>K zVj&rhabY?@?)elVu3IGo_QCvvTUC4^5QhQpw3{PG8dM*q;lbjkPd^(d>4%J(Ol+*L zU2X7K1WMM~if>-|>`cnOM-WPSilkCd)BpABNYDFRollp=9RE}=^Da!C#&te|F|qMk z{K7PF@>^^J|Id&jW`F%)y{qbfWf$~Jx9#zpSSHr!gXq9FRHlg@gJVWCDI;8&XVVbV zz(Fr)FyK*V4+ipL(Od{O+fU;yLQ`m@g&J4cLM_>U(NYVjmi=VJF)thIJDQDnfIsZ3 zgj{sx8N-|q2Pe%^&NT0>fHn9`p_V`>I1EY6$0tn>JecStt1D# zVOw_kmj~kqf?iq-SBKvcD$xIaIExq%+PJ`!ja==7nt$WZUHU(DfARRQIWIx6$YOPN za!ugQ4k1gze_=wYxfWG&aYARi%E;d}TSdBV0Ez*o2j+ua1 zSR=!S(8_;|RDoXdO0_uVc1Mb>^6{;& z(IX^0@9+e(u>^nN+P}EPUZ3~8?(WhJ8{shZM6+7|!2Kw$sjK(78H0xAD1&!`C z8$Q}Vq#>Y17<9g|8W|Ya^^I8#9rUlZ%R~PhF-m`ZBwT1$0@m?3-f8JI(hu$zfdmy? zjr3!p%R20y{h=h#@#nkIe|}KqX7z~h#Nd1tCP%Lr5_N8j9McS_7reb|?0h=A&AyA= z<9@%>V0^u0i&D~$+xQDRLp=2L~p~brjUNp&1eg5~#-kYv|U~@>c&9 z94=(NKTmg*@ui71E#vl0U*P3y z)obpEJ_rAkGsogP(@jd;CqdqGKh;r9w*H&*7!zwMjZ9<1v;q%7=&O0Iw(Qx63|46I zu2Oc?$nt1$Y*(qsaB7E$ZP`>zygWnqIy)U0&wnEi_rwyCXgjdO7df;_?S;lWPsCa~ z^XBvkBKn341JVg2%ynKI#usZ*Xfb80!a2HO-Q5y}T39?VQqE7wDjR4bYOT5l5Mi!; z#MqzL9nuSvaxPejXJfj6i@#uzk=QU*@A2TpW;mZ+mQ`Dwh@3=0w7>^wm$)ZNi1}@B zLQbNP?m;&b9;iVo5xm#bi>9N(hgjS$RK+n5j5zw$hS}=9ILS5$qaz%n>t_}S6C@h# z{!vYK5+;o<)+&`ZD$5$qkuJTlsdD{jd)lAf;3F_5wL3gV9_TFSu*Q}-8oH{pSDJ1z z{cVgOzD|SP>i(1dG(XI{*^Kzc@r`}@ePUxg zMw5}h890Bl_jtwB@jSK$i&ti4=7~kEtM9T+k>rgUmN&QCp6i zI?l!tKKu)oYB}$=#TQco0~8d_7C@2ymK>=`pgTGY-{h*Eq={&3fNCSlKF@b8hC{?# zp?`eu!F4~5uzXGAzTIHHZU8OnbYgn6drvPo>ea->%+=5E>4gv=1&(c6Io(a|?su=w zVRuHHAm#XqazXyF3#KgeALfS6XZI=B;~(0wpWo#7Ly;;(UwgrZdx=?7B;4#Px?gzh zI2R8Y(!C!IknfB$%ocP_EZD3gXn7$mDliLsP!gsMTbk8uzxuOqgw8B|kvfaPOW4>L zu}SPW9=P25E!dXZFHInpwSl2vaqt^OcR-%VYntWxqj2c+;|$=qKKoAkT$8rE{fFHB zIdn;yOF*j1WU>D$_LEPTYDe8qwH4bdgXh^b-VpV24?26A6928g?@B&N-&1va8PwToCe4b z#>jVuwkyr6WV05Fru8hgq1?d3#N9F0+#`nkvS(3^iYq|AxW}-@3il0(^GC z^glj7a{OQ7rV0B0QhZ*OGcmvP#O*Pd-}*l;erY>eMR=;5_P1Ig{jYqBZ;W8;1$@UB z(&Gdo+x3CYb0Q_p;B2#6>@U0-bPZHPIUH}k6;wn$%ff|d;Y<}Z@K<9=%KZ5dsIyfo zviG!ifk1y0+9WkXAs<4HBaC*8mhOV~NO>@k0i(*8c62FrQCQK9K7a9_MA##=QG3MbbShFp#!~duy z$OEM)NpQvYZw<7h=EU0hrSgb)aRzHDnYK>m8E~?@$ArL+Z?ErqQQbE_h#w{j*`kZf zcu@_Xjuf44AMFP4ar<%b3%Zo{MeRGFwjw46`4h_|NfoSibctFs-F4r+X77<@q_U%0 z$2!HA*En1E4+S2doITE-^LFZ?r}^LJ8{B|h=+B})d&k_h+-RL1k4a~AQTE24eo~Ai zR&ngeUmi;2zhRTgVzvV{d{{^`@IR-_8OFgA=h0opIrW9$dG9Ke8=I6y{FQ=Fvy3TxETY#1G9 zh=_FJ_7!&${+|*}pt-t+t9bC@Lj9U_p&$PmT^ZQC5}wE3;dZ?-?UNh9@7ww=pwRuq zXXmkmM2D@}p<{!`szu>5t2Iikk>tV?56;x8Bb5fsY*8V21?ieck9AV7vT%?KOS}S* zmSH1*{*k#Lz&`*)WWh#g->D5?rMuRO8xoBi#psb4sj%%g28TW!aP_;NOV2v?zIHDD z@t`LsFu$9fTj<``^itgHPkI!HyCp7kLCa#O<@pG2LF+wugt)b4ONoaPC4q&h_x56b zxEujq)H|xM;w60LoFH5ko(xwQCTPJtX2HS=11L9dnM1=+L-^ce=~$Kc(feF_ZvS$V>Y| zrrCQ_$}9rKNOe8iSE$+5I)>%zKNzHPt2)-Bt-^q_BMo*2@O0p5706K&U}yKZ_tWzdj@);&w(o^1MuU2u*w;R` z3Fri;hDHxicc@8|LUfRiZ%Oe)>LS$&1Rc%~d^qsQ8jTV2D5y!snmk*ttJ8M*lJ)dU z%5_-%P#RQ4$W?Iaq4ISIVI<>YNK7{JwNd%)uzNl)PD}H?O!q|ZUlIxebnBp{(;bAZ z4-LZ3PZGDc2X|n6r1O}Icg-|E$cZBcIQ=|)4GOBL5=kM(!%Z+Y#;Gqm!PS?qu>^1n zK;HcpWJ}g>xDZ_*2_Z}abdSEM5?>iY@nz+PY(Q~-Uf&^N6C2I>Ti3AU4@C(rUel$6IwO!kxfKlwKT%QsZi^2 zj98l^A=u#bkoezakP-OGO1_b?*~oh`mObWQ z=fyEZz9qrwp(HC5hkN!kVXuhaM`AA5ruCXbYSm+{G8)q+@juV64Z=?Pb_$piU}h0& z(xxz;H$EWOKPJA^!|ZX9ug~u9+%+m5P6B#~Zmz~!+<@zy3|s2)@euHzfXwWKX-;eHSK~gNeXSp>1GVe=WOdVtXxgFiy12%a-Jgl<`dEq z=&Ay1qCsV}#26jmXOrh{=Qt_ziM010%+ka^*=--JqLC#)0i=(jy>YZq$6N!VI`lxV zT}=VHHCHsSK4N{$F!xIE>RNEP^UlTTAaV#KU9d8MC+I|$-yQ-g)ChOMHTDpTAOg;8 zHBv{H?dEYJp%Y3Aj6d_u?4eay$! z+waro6Y*V@AeJI|zCq~loYrn>%&$L|YPQhgd)rkY^tU5P$$B4pt!55TySD=D4pMWM|4(OUdP zC|`BA?@KOma;jVe6}qqm{j}nxZ#qiXLFNGAgj4Hz{?^r~BGG^bhfoaU=VJ)?rssfo zr2o$wPC`L{@v9t9E7QSc#Sk*9#+t&m=A_>0GoC$(N)9-~deIB3 zfzgVMZFS}!5YSc9k-EQMKo4$*CC%-{!4EJ()6%aE^o#o&xwwvBFxt;pU;tfz^*5H_ ziP9N?F$*8RR5f33Rwjul)#E9k^j{?I4jwv3;V)ee2n`4qLmMDlI0rfNq=2>94)*?& zrr~z1<1gS4XdNV2ur>YL)0y(!D1Dis8sI^M*pdM(g3S9+Kn$BXp6u;vh`UU1K6*H8 zs%GvtkWrd+nw`gz@&L!k_c|}W^ncxbWl&sQupkm#g9nEsxJz&e1b24`5Ik6L26rd8 zdvJGmcXxMp7#!Z^t9@1bZ~yPq+^SnMb*%05>F(1_iz5}P8S#%kN(_(G{R?lK1zO*I z7mA)C97Q4(PDL|!$FYJ4c0WbL;zC3aV3TuirFm8V`qK5w9scmr;LBE%SfZ$%pDFHw zD`kR`O2)D9tkNB26vVRX_i_1@fh4U{UbuuBPS&NU#OXf|aP6^^7upNHe^%A?EO zP`>K2KCoeDHs4Ou`aG4cVzFfpoAUA=TJB@W_&NOg!lK`F$+Ma#xC0U#8BtYR?W=@Z zy*`uH?h-(m;To*WBCJCtXyJrZ_cQNs;Wr^HL!c6jM13tei`iGYu8+TzZtI-?(w7D~ zYwOS{O9aDzLL?IvLl17Sip-iMgw%v6b;3Y^_+{gwp&+G+M?)__g`(?6`F)8-^v4qR zvW~nqc{qM%MTJGsNmt>)^gqQ=hN>=vu+5LZm;1~u{IwNUhjy}&v;-lxf_wW@Yv@|M zxjoLCPI+&pq)ry+BjHjEcwn}jR(&ShlNo7@p#m8C_sbm$0Jg>4FSwTrl>#});S*A*)NL3 zqcs=ZS@MEkV#G7bU440SdlFNX*<f+>aduIXygJtxf$@tzdm)R2j-7k{RueLgG+sAsnOA}t@ zdcnF(r3Id5tk&bjyA?}W`2`W`6<#^!77FnQRLx{RxmR16N}il@CjxxyY;XtD=s$o9 zi4>{GdGHUzdZ~u$bbi!39Ua@&^$&o*ZJkTo9g3|Fr=0)pm!_nqrrp}Yrra2>3n}XG zSJCjET=1Km@?o#0@XRxOqGbqp40uNHg3wV0ehmxpyWl*WV&l!;e z)-R0=^bx%0r&D@pXj02f@m$+~N}SOWgoSM8eq&1z@tc{{GqMsi;oe9V8KeUr$I(MX z15ms|+&x%iVSI-pCamCCr6jqwN*1xO!?V8)9e>Bg%@Rs;q$v1vBf}^&z2hyw+qcYU z{Ue2f6?c61O3odx-TLJ1NuP@ljMq%=$ZXGaCv{)ibp}yTtpr6%)+Y{?X(oL;_qOvI zPFP`KrATcrA+bi+PeK|~33|z_prPqtx}RR!XXf~Z02#(PajqT>Kgv=&Vf zhGU91iwgOnes`mp?r}f<4x1m6ebZ^IB(GLA~?fQc$(A1u~WlNUPt0 zCwJCJT_eOS=9ju6&aYEnv~3p)+;kZSXKon-9`5^Y)?*hfYVtUho=_=qSR@H7oJBp6 z-Y+2`!MF+Nj0|L|ilS;p*l2GcBrObTA=6Yr^cch`<-fl!vo)|d#a`X)C%H@}*t^Aw znw=D&VlGM`NO+x2yh$V%iL#qPAENNGom(>~=lSLOl?Y&YVPO&Xi<=wo)b7IFkw0HP zOb|!DEJ^Hl9{tEYK`~`D3yP4RVf4cjWD%T>Gs;qwxQN@4x%?N>dxFjB{R}?haf{Xh-MThsy9yP7-5At>WW(oJh509pti0oDc<+~YWSeeTfgO((=CVnAW1`I0K zCjRDTHpZ4KoP<;kL*@F)v)Xz1_NEx~=N1t{%oqs#z^PQX5d&GiXZfupws^byrHZ8? zNvp?&-RJFa4zuHfe?={^tdZ&=hAr&8vXo6VJ!hqCT>;e))@?U9#Izs?&3gUg`#z@V zEd$fve$Kp%=KJ=f5I~{LA5eUqpBTyVSP;DOilv=4MTuLy?wxgSZ! zXE=YjD*+LBy8c8@>M>Z%vg>zHf{YB5bK7u#K5fJ`voQVs2{uqU!S*%#;rU^A{@@=( zTJE8KiRF%0R)0Eu^M#X%jCtj;8ykKp*$ztPgflmHP@GyA9%(Zn>X?q>2;SM|Ma{Uy zdb0u>kv%f2N)aI(MQ14z;>l%rP0UN@)C<09(hYp*g+Ka>1O%JTt`fw*%6>!54H~=^ zNuvg0p`1lg{Q`cWB)ZvV;b$EYa_~*UFhUYCx6#|_{ezv0!>&Th?F_*OOvg-g2XmT; zq<*e`LSY(qXSYH9Gr5_nH{%Armi>|G(~N0qH_Ot0@@#O3m8L^W*BZDD2P|Sv@X{2D zCn>b@s}Ff~H4+6KQr~$+n?C=@u7KZXV*YF52SJ^->p77_8uwB;iRUPz&dp~JVVq1S z@Z$V>7qt%yllh4bRm1UqLMQsp;a8$ zo*E`xjf7hNG#f<_BO1!uWyiGZj`z>cfv%xYP#j_&j@TQww#+ri_!Id7N9B4y?9rU> ztN#R3gYlOL5la=A%Pt|pLaa0O*sx`kvMe=UBKW24O5fODe-=FCDG94%O&E2@;stmk z+n=b@lyTZv<82mqi_u0l!0uyv$x`pqOc*Nju*ehkfb>LUacQcH18{?|F#hf{>|9po zy&hh_EPQ)}m5NlKy4y>Og#2r^G;ODQ{&z8`+jxAZVv!Z(iB^x+YRA(7?h}2ze0CM0 zC*ss$Fdoks1j*^}AGoEDp$8<9?V=gD^2Tx^aXyD(F5H)^Q5{#^y_q{{^qAmo%H=OK zSkeZL>v`dm(N^Cie%5Gj4xSQU_bs3NVG+s+t`PqIsV6iPp{9206xn+`tyTESdy2@k z$axAiAi(z2gny)(l4KOgV&2e58kJ{{NwxLdM?b$G96D?yfOhqD!-o4ib?gZOMNgtQ zKz_N+(4_g8s9kW2JndH~gyWW7i+pe!T^+Tyj85*mDbE{G>p$&1ljpjBTTfu4UWZ!0 z1+5-){LEt+;WQv4xxY6W$q+d2KyAx^HSytAvbO%cb9eU^*Cn6lgkR+01ot+*()V@0 zl|b*Va~&IDTe^oCY31J|eIvisp<+Cpws=cjfWsZ1xSJDnFAq0!ec)oD^tTbW@VNc< zl&P+4vVM6jCE>kiRu_wx#-+@!?PW z^#R>0Pj@B->x)4~8p@+Z8(Y<~n*&!58sp`lrtg#(9TRss{nY&=-PHYe#lqYZmRQ;h z$}Djl>>Nv*BN<-OK@vjmRGaj|A}BngFCFX5JGQp3m(L^x`D1IAzQogok8&h=kt3aM z>X1#Z^{ARt*BK5M5qF}pG3vY(Y~A);e9mIA_d$lsC~M0R;vc2ya42PlmYlxn&zC4n z-w4n7%NKel1r;Tr6baGT)sjmuM)L@(_0NDJNFIi#DkzN_rzqbTG^?PJuUV59A~eWbM>Ye{A34 zz$mc(1h3b2Nn<`#^_$_y-e=jeyoKPJp4fS5wH3zSXjg3BJOL?=u+h>BJzI{r<&TK$ zKQvtwc{<|$uwR~b4B}cfY~Su?m5`$#AGgonyl%Vp){Hj!T9!2*UKl-jvbI+fh#(3P z07D;8%q#u&21A>3io#n*XNC{VST}oK>zhHAm#(R$C2?l;=|%vu0$ejSH@kS(Y&3}- z8vUuCO`@a#h-h$9Gtt}Nh4lo|8?7`q!-h|xIKzpBYXYv--9+p$ekH>J6 zp4u?9uko@_uip7}N+bk=9-CtngTGPrR zM}5QjiaQ!^$r-T8j-3B8*TpyhVcpi zQ>$|(jat*0bY1*B209a0T@DwPZ*hYQZ^dqj5ts(ie~~BHa*0;a+_^_zdpfP#9%&rf zJ;Mas<9;Ff@0YGV@4>xwqpZKcLhP5e;gzqCE8X#nn>s5n4YEbJJ_9hH7z_Y=P4Io_8jqpm@v^q8Y(7EzIr41H$PR1>;Jug zyD(5dKO#Zjm=jn*b`5y3$x$-UTR&h9ro17bi2D*efpO8p)gGtt8G6zwm z$^ETRb=+}q0hw+a>8WSk@`CzyKS+Y`gXQLjLB!sdL?6Ld7-~J(Z4@S4h&TEAZ}!xXA*JH?J??v?b38a1#JiQGCiG+yv~F&8n)b{*4`I< zmSv?DoR&>S#z8`mpPvZ&7!q}AbQWs7Fgr02g@l95rE8Sz+?AGzRk*c9Hhy<+QGPww zNB<>T;<*=6l@RoypJ>XdHPpO_Yx_CI`7t;F!EcI+l#q$@&x4|Bx{W=U_H?k$<*J6& zIo*L?Es1RjWCLPHU|xLJhi*@l;s(8#Um*r;xF-%u{2Thz5lh4-M^0Zzn!>6X)O+>L zJcI06MuD_0-Oow0hD28t>G#K)&r#mfJ`{**Le;Ms$9J?4OBZvhyiJUT^4=+kD{Sfr zOH!#=PQR!+NVN}sy-o)H*{d=XPyWP9Pv5{J+=GOe2?};Cs6>&wdvn9lT@s&^NY0_^ z@&6u#)qHo-dv5pL8L*4n5Gco?v>%q_vwn!D&`|et0?ZdAZ;cVFZ%aY*%FYng{9SrZ zY#-Z62MeW8&-vCxhUGR&jKr?$6Li1EFl)G+L@DE-w6^GcJ(XS;=kxkQ9#e@Fq4U7} z;&0|NcL3dbqZdSNED0wl$9wr9k`IjcUdR%{y5$nKe$|mcHa})}IKgg|eSXK;uMtST zJpKzz3E8ul(3U~+dA%9mO}?#OtKXAMX&poeZr0sfvQ4qaUHy^4Dvb|H2|LMp@zGnLHfu#Y*r| z#C!Rs$v$ZxZS2uLN*_W^x)5s&YW(h^zI}k3Y0fsrwX2M6qT#VN`YCc#oPrq%QT*w} zxjL0HUh-Nj{1dI8jCp!k&~>P}AawfPmTt zTV8=bfLN?mXZU*OlrWa%09&6%$9d{Ug&-D~*3?x|rpU9Pq#YsJd^qOnNG!15FPfAkn?1~b2 zj6u2t{IssAu9EzI?YF-_ zRpZfny|X{y4t5utIay4p+c&U9`5S3FuMLs)7fNHwCGg$GQQ^BD9mkbwT{;8Ymij3~qwe=7TD7vB*QawhQjFlgviV8u7B~>JswEqZ`{~;g z!f2zrOm_W??eMN|+Lw*vHeE@>E|1<~13j2@oM)yC&mB*;5xXcF)Hd7-g)5Hptv6HG zjSm^++sm_D8#fbSq_lDZkboV)*V|U-?g}$vBREZN`?x+)I!D1yitF`nmW3^ZqDU`z zO*;xc!0gXbbhmR;Q*_$fdHFBtv|14euehO#y{>CBRR4v_`iLZzxDlH25m()~!3}8& z+urO}B|X=~{)&Np%3L;>MPjA|=sRb$fy;*0lQzBSUT2oxNDmJZ9^GZ1#kdZR96!u; zJN$%~et*NZM~=0X0bjjWve!CJM`x30597}QWzBKcZ=1MS@kYZ=w})xzv;&c0QsZqN zttr`n0n%s+P7sa%p44gG{myIJs{O@LwN$fLim`PDq{)W=75#w6=HbQT=m^#3Ezxby zK3fL{thg=Ix?Zdn!SDDJ$PoplyMxK(3p^KZS(C~$s@p{47`D?rrk3^RqD~~#Ue+FOYCW&DaX-gj zmghRJ->%^SK_SJ+Wi8Edd2s#~(r#(vI8;fH4mK(1J=-1zn=%E=x4^zwt;-FjxyG`6ejL9}>r08|wJl_wpQ}kkE90sm1tu`l2V-T(2d0w(AO?agR zhv*l?UjObnZRe5`my)}3?rWx-mj*rCoEQkPMz)V( z=CT@?xN` z%kOaW_-45-ar}7Nx@>wAL5;%5`^uZ3>oK@N%YfJ9NVSsM`j8DRA|`x%F?_sj3)qxU zaZoQ?@LwG&&X0ffbU0xtt0m}6Cs0Brp~v+8L-P`)MTeJ{m+wgD10@37dOTN3;PBC2 zM5JzNmbya&dbwU{bM7zNU1iJ4*sH1K8}D~M6`#3K8k_i8bPh1();b ziTUiUw;W-XgBdhv!0@_}e0kclwuIR1xVWuZ1MjtQxL5yf=1Onn&uo&7-@kF z(;;$gZsy{6ojFagJ1J?s|`(m8&S`I86HPa2&yj?#Dc-M|nq6?tzqkx&XuQB_ zD2Zd2v$Z!DjREB=lfw3_b^VhGxAK}fnwk}LmcHpmQ{ATmal{_b105$We(Nr@K!&2U zMY;3IBt9iTh|1rh9GHYo>@Frmrw|Ft#eC%n)NRBeV1WM6!|LAK9=QH2^7?X00)B1# zSK{;aoR8#loTvuQNtwy^nb-uPphG_g*b!%G_e4h#Z3Ca|{u2%KhmAWPmq;k%c)@}s zFpnqO#<}G$Ci>9i=&kRc(8O%-t{LLG3aWVmwW>`z_tfBZoj+~XdKwz%#Uv_i442&a!bYj)$AwV-@aECGI%TM0)@5AhrkGZuN+B79a zg1r$;Q7-oEqS-n6`FIYjeE{@u%!@7W0$<4bLR%;t$qR0l4!x{&utCxR#EX*nD?4o@nJ6(b*(tbX`~$~_qbL=T%N+ZE0JGb z>3fm!%(@C7#~CfFl$*w%ok1>SYidA;@}=~NRn&g+kG#y`@er9OXukYMxAoNuC)J&h z_IfpQt$jz%@+ zU^UAyp3FwZb{A zTiYbQjn;LKPMIyh+@c;jtV6zdrmFpc5(DA&Vi_*TzPF%&ZqFxloz>K=j+l9yeZ>7p zE#=?v@Z=`Es1hqpn)eSxF_Fu^4xidOCgA9te&5q6Dj59SKRY^Vdkg*6pFywG&ByQ6 z&10`5+|6}4kbO{t=hsJXr>4_`ej z&}T|0KI0Fessr}UAirieV&JJGGI1mk#4bY4YI;%K(2y8sKDq&?i%l%1OXuMaHRa5a zFrD+il=dpvOZ&nO_BW@UY+)R_o-y|pT5xG)@@y?NQDqn27TS5Wd-3HjK`5SX{&jrJ zgrl~E$Mx6u9Kgjq#ukG+&15L@;18o|IvV-t$C}Hgs|~mlAD9ZsWSA*%F2=w(_|UI| zADABv}Nr)yCNpC+9+v(58P*fFKmL>VD3g z_Fg>&o;FUeErqaJLTVg^7$9t2e(>*vp5DD#ye*%;-BNXApzIO|G9`&7qlj_PnZ4SJJ)$>X*s7yhY=V3Ov}i`xPcId@qS()kc$W(>gqDhF}f zPWbzZ1LY~giEpsAw)`LsMkB?+rq`8u^V)VCbj}0+lGOb1uhUdQnm-rK2TM#lz{3SFYDN#APHopxita&G_voc;*KQh%c}Qg|tlg z1lM_t=w4+7f^bj;Wn=mYeNS$>vJEFtTW8)G5r+OSB`sIc2#f9@sx>cM+TkhdaB?DK zgW0h&OK|=Y50m3rT{EdzwhJb*e>U^c(sCvE)A%-HyLWA)rMz`Ubi<%UWLft@EnH4z zl26zmSw3MWstF_!XJykk38Q?f{g_02)m;?)wS(k!gpxW#p%*EVSGMJ|bVXGn z(!BP7nMt~%V87F)Kds9vngznQKDgBMzO4d7Twnc6snAJT=vnMKwNMem0@D%xjmH+M zU7@EIIQNi}tj|5;=WhfuTKJ?y;aT-C(`g_0aa6fG#zD)SF7MliP zrCJK~mOnWsR2HFYkmg!4-XB4cuTg!ECHo2*k7y_@i&>y`)A5Zr3H?tkZ&D=t-sdm) z>*=zDROGt8$<+zAyKgVz>nyL?25bwB**~DLBeJ{nm1+E0(*o=YPnC5on^?R^aO?wD<%->j6=02ux9$P4HGCf%}2D<2Si&53A zIn9HAKpE~^@!TgVAsKZ`GoxI$d^&S!6CeaRW{n^lkCr?mj`$_^yaR|UO}*M=d!dr3 zKYcY333qo~*=yL}VSvmLeP#wZp6eF{74DeF{9&rw5CZR2$LF3d1zAm7LMa?Z!bd3L z$kq`+7l@Wn)*?8Jko9;>%ZOQ!57eTi+fa)v*}cEZ7DDIAm-*IDDHoKAb(t! z!J{HHO*LInSMFoiBJuFCD;nZDzYt#Fr46cPkVf{!gSAE8lI{I;uA6@Q@DWjLq0R!$ z4lPMe!*7fwx@eZDuf<%hT!!>wW$KW_#akI z4pC0w$6{_zpD@Vp@^;mH?#gKby|w)13254`n+uEwjyc1__r0Ixs-8-X-5SKRs0Eb> z2QMCd-!^uHjg>TKTJMx@3GjHFa?)f$vpPPQGaHbvUt#S4!| zC)mMSzec1|(tSj;&5xk%*{mgqpRlQp5%=fDw z9v^~N&)<@yYWXO5U}II)SJ0)0J45kVTl6zGhbq0M!K@LeYi)z^|Be*|PA{?zpntvE zGcIe`(D^I5xNMt9K{LxopZAp4(HC7#%Lo*Q4)^vBCP(?lB%W=f9G6o}+qt_nu|)^ZzQ`yz)5XgP-c zs1*moPR6am9etImI9fj(J4pO1>6-*OEp$5r zefy+$ke-3avRX}GW_g~;OY#WeFXX7eywEAq_WRFLq(VDxob=B)wM?XIXG8^H_k$v3rUP82 zC>UB=fb6a?H;!=2@-57Su-Fuui6APFhiCa@Z+Yr9DoL4A1jAm_%GyBS^baC}XEO*g zpYQpAmG`bE)c%{p1|!(6XHe?lA{mLP551tt%Yxq%+v#P;qv_k+rnE%?!k?37xt-Si zbpE_bj=Ea?I=?~i+}1%*rTcz*Dx4rd)w2t~&p9}(*O&-S_acstdQ2@uKrK~AQbEwa zu86<(d^a2|`0n7KU&FRMx+xi;kraa@OX=DPwNSf!7I!tq10GwAvB?oHW$$Gjav4q0 zmu)%UO%hddf5eE;s%p5aSzmczO>esX*g{POYbtTI7hn5KMYwC1(ePWkzS((=ur zyxOIoSd&|bu=&@=HQSry!a}Nk1&t5klixjArC#U~6S}!^rhm+y)am+nGJTzw0 ztj&iGq$;K8X{eFqp#$_ffDCPS#!IMGzfjzjDr;Y1(^bZw{>g)@X`X8&R&~540{X^B zII|F8b|I+JFhK`XS%K^34>&5mlPAE#rC>AuC-i;5nw7AL;-cJqvbEdhan183j3oPS z$`GiM%s@KG0>q@%NTD@oMmM3i$$dLMZ%YUa$LPH__6>7?NZw8kmnmB0J zcO{SXTz8P6V_ZqAP683ddKoI1qbp8n;txLVW$uZp&|qxTYRkbksYSSF%Z$t{$^vnU zNq>=p#%sXyv8>t+M+j$L$OAF>CE|2hKHdyY-~lfafmvig42hXrx13K0g46NL>tI9f zo@>4pe?+qaB2^Y7kYB2GIx8E~(d5}GxUHw#Q;H3lI?_MR`#ge1@Nat%a$3`ph>ZOF z1aNw!$Kx@Ud%pZc0sS3!yJVg5I3Ofv^|g;C(Dv`bVigB8z2kY}EQf6~*^q!KmP{VyxLY_K9;wqba3a3U4WCMCl zzok|JZXV{N zWhv*^?CB?u4Q4pLF&pkl`!p6*2a77)-WI5jl-(7Uj;`-}nJsn7(FCig(7$;2al!*` z%Dx}C*oI@tzAUVqb=JQ2@t+;}Z5k)8_l0G`Tf;lX(h4k>NpXg62Ljku_>G2`Z4if! zFPYv>VkR|Q@34rgy}kxABwt*H$F1)hZa%xf3EU6@)BP-06JFT z!V?G1#u|g!q#t~~zNDC=Ek=PT+%J7^uc$C4gt9Z1?P1%fGRBL9Wv}BFsQ2pEfDPMz zK2HX0bw-Rf=K}*S>To;F%3<#tBPuZcP+Wj#u~(uUDIR1doY&FQpsq6eckpLT-NLl~ zHSW&2Id&u*pC>;z#`n|J(4zxEf1!gaMNqX`KYZ^5++dZFSk*oBxxsa-+?L#8QrZ`s zGbOa`kVsVBS#0twnMQnz)t8^_{xP3cn{L z?7PcR0XL(2;%`+5g7mot9{wj66h=LT?UO_H2 z_jfshO1vU~TW4Vavtg~;+pb~MbsPAk6W$@y-D9ND<#p+!0b(?S_zA9sEd9{PPrqh) zp1MWrorh!us3%e-%@7ssFmv-C>>P$Ct4Q?pj-<+p(bv$EAxg3az0{Pu_Q)=bQG)FC z+1xyk6CUkE_tF7ta+-ir2SelU2x8jbeXtM>q6TDirDtqcDh~-j;J~6I=+A$SrNM2R zW^=@DK9=2U=fJC0-Co;zrE?MJXoQ_TLgE7e8fyzsbXL ztD9Q;X*I~{6={R7K1G;qEi@8g2X~Z6jwBaJtk!A=4NB{}7`%N7;Crd9N6jh4?vHn> z*c%gp3otWCVAN)~8PPZh89IZu-~p8KgFFg*6{FWOLhhiNx##BylIuOa3<`~P+3zaM zff;r*8IN20HiRXQh4xG7RlhA^*c$j^vTHjb3YFK*%e%Rd zvs-*yI_|D?LIZ>plgUUb?~61d;zYGc4($^ZS*=}u>#dkeqkHCPjKQJrDdqYrloqUmaa7= zxx7}t0ct?P`%M`c{aUdiY0eK}RT9N*QSc8R6i*lY3}WX%9lVz7de2E0LtGIN!-YSFYzEBAVsOA+(we1|F7rrS z9o2Y_-Xp`TE*(b_n&BD&EM?i5np|`PPjQGZ6uP8dji$^IX*^8aOA3Quj89hvD_Qab z`+dtwMby-mQ%nMc3d$IGFtf0l3ea`5kvlj3@sLLLt_8p<@}yiCxfC>u5p>^T02*4A$pEJJ%~@ZjobM{j>b zAaeyKfr^}fWY4*Mrx zpG=q@N1x2tSY>$vKF!YNv{#v8%`OgRcsxqspSuQqT1Dv@E&Gt-_~J`K>nr!Rq2*qj zO|fnFfi$Y45`;@bER5T5xUpH$j3e9&t+ouY9+^n z@6o;rGTxI0X@vv!oom24YZ4eM1n27rE!yrmCA+PCH=1&qPsb-6`Y`sPJue10RmR(hJ7~3CrgkNr26w8zu=RVho;R& z{)!t6vDM3L+Q~wjZ@sR2cy}bPk1!7XiBrT`e+L^Gj);G^;|At=*{%YjHq1dZi)M^O z9a{jkfz5^11jb&in(lro(%3l-vej6UxV*ccfR&CqBn#=MAea%`Kp{XP1!_ zf$`U`Nj1=|&V(2ePoOsxW0dYO4;bHr?CiCljEUkKREz<9M80JLyR<)Fy*kXJgG5iM z%ay0r<_xN^pOKhl0AmI!w~nrC-+4cPWl=3!8vNc=C7xZxAjl^{bxreg1sKN-bkyZe z`5L{te|J!hLTuu#aJTn;!PSu9DFP#%XdkAbV?fo_R zy!7;(?^EL0NT_5!X_|M9d$MHyX(l!IcP(lvqsZRF8fe1&=`r0#?Sr#(zIKzwi$trT z?Ms_uowreNsg}mub0}exJ+&AEk869t+sOKB-x7#~w56HY+J#vx{SC+ib@RC(c%;uX z{K&N5v<8|4$f%QzQLG5Q#xP)sRx2Ig(oqfruIB=JixT2AGx}1(G}lIE(cOatbZmlQ zZ5`Oy=F!A1AXizh&a@y*p>9~Z;vtZ*>)HQF@A`TH8tt+Nw>_9KwW|JTL3@0du|-Bq ziIwDSC;|NRIEjyaQ~{jEi9Z6tNDo~`VU9G zX}#&cbIB&Jce-wyGhWlHdB#AffaJlONA%WZl zW_A*Od&{p{*@Fo7!jgTLWH@k#OWezVQv}+-RChQ7zAcPL{W22)7T(Xb;R=;C#S+%) zfR{#=x?Gp(`+ejnSz=jPUYf3aKJep(kcs)kx*~(`P;zpmjy{F&t^N@*DIne6#pv38B2E!>tFTFIaDaGw3Fo}OVu z)~_j7i|i$ut@!gcv^C@(!{h^3la@yoV8*cH9GTMc(|{tPm_RTwGxcE?`A8ReGozFe zrf30l)1Cg5h{(Z~ftfT%I8`p^^@>WW%UMy@c&zxscR8`Z)>NVsihx~g^p9P_~^ni=Q-&_$(DJOtv`(b!qxJ_y&;ZXN`IiEm1-5UEqskLZTiin42a&(^19 z;C$7;<{o4lAO!fM1G@xufhW@rYen7JcLzsJhb_3_9a1~VsEfsjOfG?1L6NzK1?g(jV0-OnR zYGD9$p!lnC)?k@i-&jIo_&Qesu{uxsH!EN%A|6$s)c3}7Xo8~gxPaM*v` zo6HAiAsVhji*a-?il~6Lbow0^TOS7LG;Qhnck*vd$^0jubaA|<`j-h9E8tWG5af$G z0$C3gKn!_|`ItHy!5SK7BtM&*V2;94wW}uzkO3)8_=dt$~ zWNza%r^r{TpI13lu=2HjkHo4$BI}b_8}x?&PJKp3z#S*LVIh&O_s|jq2Q^B22XMMd zGvcEUSq84oMjgjstn}nU?lf4k^cP}W&~m3NuQA;BuO4CYGi8SeIN2|d_O_MM3W#JB zfR-zCGR!pLFXH|rm^)qIjEo)nedN{3J|L5I#_3b;Nyoq`Z2dB7$O??9nzwsL`WQR) z;1`-SA7#Wi$;Ecc7{`rio%U%dYM$=x>+hEANiCU{jb3N*fFoA;Ygu_;)_cbn=*% z?lpNT+RO)zRh6qy$Nylr?wN-!B#n&V<%bvP17-i+dsVqyVEP0#C>mTN%k3}u<>V*z z$3XBmh-RtUeqXTj33PjNCXWT1M3o4ik{SX}%=D8TH~Yr#rPI!NS} zqx&ytE-NV}g%NH1n)=IpdVXksXO?uLq_*&6e)zM3V>s8{gBlN4Xoud#31jQ0e3A9n zPrG2Vcy=bOSm^};%IE^|UpsAMxsZfe4Qb3r4}Um2>1~Cy^;*di0LHKZ01RMvLzLsLw#I@4@AWm@HE>y{6M_#1#}YqXJdhg0 zG4Ul4!2yS_2F0;64ES>GF<*Nei`^EB>f2k0wF5WR5imB z0s@{&;>UMoQc)FizSUe$INEZ(P`}Ci@SuU=6U}3zA;jRx zM41rcQ{c(`0JP8nKcfr5GoJ#26nF_T69aBOy#K)i3<10tEG11rPGHLMcHYkGtv@}* z$ng&j#nCoi4gL3Mw0pRtic!9|)K01z-mq>y{g&i|C zQt+_85UK9qMc&IEOt?R$Lcod#lw$ZH@I&8otv{VLM-~;)=sIu0#M5c86b-8=e?Yq! z_#<_;zQZ1OPB8G2a8}%U<6+b%6UZ7mNodWTg+WN z9+&UCiem~{jE-`wk0i5OGyn)$tTvGYI@AYBmvO8)e|{gQ5x6Pqa#WcAhwmSBc4=ui z>lmjm5s%{z(B;{_z#EsvT*+p%6vHNfgrQp-3T29zO`vNNz^9YTb>MIFfQ+ILU^w^#-H76^wtk>O^w4Vuyx;g3?Gl z<)_)~NFQ(XU!S+LYS-^%1$e+S^JZD@FV$;IKQ7l>!=3mR4(|?K22sp4IUK7u*pR)a zkcW6Dsz1Eh!ME=j%#X{OBZ|x0xZg)2dA$gvrlNv4@f}k}xYBjm#g^r}RfdS*KB5B1 z`|tKgnbdcXoHg!4If7>oQ(dh)-zoW_1CGCA+yh*#jb_wUs#PB$5{hFB%n37GwDGc! zz>e=90=v_hw)FH53mHzr^gsR0?lP@v>mJS*op6l+X~Ly~-)CZy;U0fIE|4)cCi@QN zJyZK9#^o1Udivf|$Ls2hm#_pqk0eI-L#gLIj`qPx_F?QxLu6@FyqM`}SYhcDUGYVq10R8N^s$-g8?~Sh5bfdU! zBI*6?4FLji#{BN*>f3rJ#Yk3DsJXVoSe^HhO#bi`Ak0imbg<8BcfaT3@5R+iJ>HZq z7-noI%*6ug5Lz0nwYWU*Pzq#~l+g8mPWdm$+Q`UA+hJA(Lfd{)e;!a8D!0H1Di9tmy|45s?p2kR4<3KXN7sBTWs60B`_& z93MxkR%JF#VQy{?@E^kUUHe<>-G22Lcc|XW5s;L5v}d`=fi~l5W&eH?&2wO@H`I|}&vz%;yj1tAY1_io zuelz_B6xIow72Z1gBp&CicQVU0qn{vDn=jc%Oqw4=UcPIpG@KuF`ZQKH&v12>sG+6IK7Vq=_b1(bfHvgAc#sHf3)O-fi j9^fU9=>OX;_TQktE^`It@d{o;03Qhv*&k&>KYjiOrmxiP diff --git a/notebooks/figures/05.06-gaussian-basis.png b/notebooks/figures/05.06-gaussian-basis.png index c19c4f3e8e6a63b3efbafd790e8d5b0aeefef130..60681063e8b0186989602b633941814d0477ff0f 100644 GIT binary patch literal 22761 zcmdqJWmuF^_dYs=bmx#F3?U8D-7s{wbT`t1bf>gPNtZN8Ntb|tNJ*E7fV8B<*}U)X zf1Pvw*ZFWhoKMGV03Bv#?`Q25_kFMR7^AK#kBvc&0f9iU;R-UE5C}pY_@Y5W0nf}b zG1!A2$R1K~Z8Y#F0L>~I{2Sd(!N3Co!6bP6LioNCcnh8s^pw^2)N-})^f7;B4RJR2 zbaQg`bh5Xg@wR^DVejff!_Cgc&do|==jrJt#KG}@zJT5Jl`RJ^=Jgi{ga!hak<|9h z`IGDCOF5f_twXWHOxQ?(bt?8#|jY(9Z!mqK%tA3Qve-K6Jo}Y zn(!80ID-5I_9q+thYc5=4O%bS64wwWpKr3E!+DpFo)_EN(@he#3ZuQw_V%MAKVNFr z^h#Hs`OckHk5vyGy0Hc+?ikv@E6%sbtJh0@RW)aHuOI) zLFY9Czn7YV{r~F)fyT%=|_nd)kK}7}p!2Hpo zvX)?lhK+IlwE;L|Zur@x_|v1#%e=+@N8>6!`OuE(&aEnTZAB^in#j9@Dx2SRsNHMd z?RdSnY5wBkqOhff6jB%T5coA$xFtur1iWe7>`!JOcO_nku#HDouMdW0F@an)d2s6Xl zyk7tK3tdvMIW%2f+p5{f z?hbHyP3-^OM>xi~yYA0xi>j(H<48G%5~+koMfyf}GI&?&pnr=3ZMc5BkG*$Emy;<- z%dqtpavK`bS;)pn6%^_vaG5~Cp_LdnVd{_akX@qgh~FHdn>`HtgI$Hdz! zQ%Em_>VP?`W|q3)CctSqgtfhvo15zmXK8<3f*I@ z8+mK(w>$}rg!?;#oxb+>M}WArbQEtflfV!blFd&A5#4i+JK09N6JApp?kfw_EW`>{ z^W}&%;*Z(#n#-j&8%vj}YnOEPrg(R$PiY=#oS=McY$Uw9yBqCBMM3$tx|(;fc)mYx zd3SRT3C_#QYlyGKdpz=LwL=vC-jPuki<9lfUp-FW!U$z#1n}R;2mBV^99|PY-kf|8 zK!N;rXx#ezWV+59F07hks8`b>QIM8vH0PQ0ss%~ANxMq>GlEfvH``&yk(jajAhGX$ zb&I;GY3=n@CTzsle(kt;Xw2f<)`SIh2+1uOU=-~jK?{~S*> zYbD%KH9O*rL^aGL^S(*3z>b*vsogG5>>kRWQI^^PkR(u&hQlT%RF^>vDKMl$f+<{D z5lD^Q5cphI<7;Zz^{aK4gC6dflYC!s&(fz^lW`nU4RM&fe)=zW1O2GL_MOHok0#^6 z4}Am86#Ok&r-xNVk?RS_{q3B_^3^w-Iw6!$m^7+HU$juNs;43^=Uj9`E@RqaaPst% ztV&=v>c8jb>33ekmFOYKsWS<-Pm?k)+v=*sgBRHN0xY-DTW!Yzu}}!N4tpUAcbcpy zowRZJog03||N5YiD1H+(h_Ayi#O2K^{*=ut7Of-M0=snOGuC2@S^W7KgdFS6Kee zH%I`{G)>LlIgRvW(_i&CG+aiLoR~$mq;nO^HSH;BSSf{wvm~~DGEGNY%+-mc1H*L)3J5E2BBU^6%x&O7=}T0?XTx(^kz98=uT^bjOBDirqs=&PE~DL#LivQ^D|; zcL=vPqa}8A9sk`!;CDDa5`UrfVh^sd~8$RG{5Ms@rjrQ149efg3YH8Tn*6Ny}$vG2D zEYU7;YNh;Zl_gR};G8;9g7S4_2-8@Rc63tL8?3dUU!os7kFam&XGMSK$$1Pjl~{7u z54bUfn0DQYQ6EtR!^ZR*&B$wn&INM313VVB-v<1Gw_p9$XGIZpF%^EQRrc;A2vyYg z?gNGRYZs2dzsn|%`@kes8Kzef`es*@-K7{@iHAv(+Tlt&)GjddGq)&k`FO_%Z%6j8 zNhem>)3w5jw@f-;WMX@HF-teZO@+fBZq{(0DRSSRr)9O?6M86W8Ze}Wl0xy-thqy< zw$lCh?2m@)EFM{qWSm42M!i4zKFsx_$TLf8nrbPXXkMwB=6U97!=8pM@{>O*w(ENj ztBH;eSA2o)*969``b+T5v{AZL?#qdt%gs!V?j*WZ=v>}RVz!=-rH#j~Vxe^`w%Vr( zk*?W9G8J89i>JfOn{fQ@MQ=Q{BhPhz(uw{`Kdpl74|b6B{Y(_{UXI`xhgvTl{o^*` z7c53{$dHC!n14=_>ys`;~TDZKxv-JXw+*tow<4S0)=J^eC zv8xHgWf2|TaOT4fRnBGAeEs!GK~uAltN*W;0cTS$o9>j*KQPuI>bEpeb^D!%X^2l- z6uO1YMvI#UF}u9BL+$F`6^%}bcbt4zeNo4x)AK@@%HD$lT|+gPWgwxwOS{b=Vj%N{ zpOFlFh=ap4^q+}ncgzf} z694g+y7V3Pdl3!I8S{_&1*;YkG%9`W%r`{DrX?3QqjPt5{PjQF?v0I`e1+~0Vphno zp-9?kAC#)pkus19WC-R(kNE^72l`Egh^chi!^j0=*ak@tgDCjL@6~3EutC78fITzk zc%D=_wO>a+?~77AJWr4N=WZ@9%D3W)(sh5V>a?&$c`l67qr+nJJ;5CR1M>hYJeHvA zW{2wP8`a>EcncPzw%@cuqh!)*Rc3*|A=TrrezyFjnhFLptm zXFKRw$z-qeJ$K=Q{uR2t@EAL8_Gl-PUNz%dC(Y#O&D|%d5N>4-A+KY--e^49c);Ze4pBv0z{VsZj5HHRjk%YVSIPcj`8j3DZRnSkH=Lg zC?66#KuBVUBBSxd(ccHxehf3`WsjjZpZ?Hno zU^NI8zumyKrdaAgl3e~|k2~?lp#n|(Gx=AiPn(zdrYKS3iM6+Ws3~NI+UgG306+8# zly*qAOU=xBwvVC^P$*XicMs$D`Q%fZ%JVj33R}O@<~J*3+8m;A9mrras`EKA5xG6? z|Iy)d)Vj~!ef#RqVl!rk_d(zJys2qM{dJLu%hj2%U30eEQM%GJ32`;?Ya3qkE$g`B zUr{EvX4C%mEI44{CkI*|rV;+gpA~1Q>Juhc#75DSO?QKxXSD4k^cIc zg#>BcjAf~_pJw=)FK#;PKGG2HD)tHUkTYu7RRCM1>4t}0w2d&z82@(1@#%-E@kEY1 zIAQK{I^-?5@k5!|Ocu89O;uS@W4$LYcC%a!3j81qfvun&!9#%Z9hYU~=@CFOpU>xv zwrc!OM;K3T_G`BW2-OBS0#D*Jg0z@+F`REKMNEX(ho~G$*Nc-z`_zL$lH5Y_LG}^t zCOs>ipTf8xQb>t+6=@(03lX3;=nf^X<+2)ecC3TqZ4GL?EMlRzmS8DAlv3V_C11*0 z-;CoJN~V*q^S^ZYXxv6HZ|tG6=zk9AP+1wOsHmu0$BIFx*oj&hil!^TD2J~DpHAd1 zMOLW^v+rDLkN@_>3cOgLf45@MKTo|FQ$XY8Gb8kvmusorwopMTYuI`}L#;ZPToHYI z0Cv14-UuCk>gN;xn#!fyH*mbe*hA6_X>MU5=Kel#dkqN*$( zq^R2-%iLP;4HF2s;`GfMrb`kDZFZbbY`3wqQ@DPx&3{93_G_GFao_e-O^N%P1wZkD zS7k!YC!yQFrmB4tmI%w&x4u)@B{%LUgjW|^4+FQmT5j`Yq~FI^k(EokM1rO~Z-1vm z_*!>k`rLYP5W}rw_P97Rtlih%T$+!+=f#u7pMU8?MZ&5d{PcDm_4n>>?_#r~J0P)} z3%2=B#v1G#9Qu%OMbw+-^UFthtS#8}d8kZp2Apo^AE<{w(P;hqb8$4e${GeAYN1|w z!v1_?{-K@d7Z64i4+C5V-35Nd6qk;TvpqHaYE^)r(D3(sXf#jDtl3bl_mx6r1^<$mG4>vU$_-nh5snd9|8NdBSALYB=Rt zFlHbfsEAidq&Vxh5z_!xZB~Rh<^l?L+*x)>lS~;Ca$P9$h>CON3DwU~upmO@Y|-?x z#{M^~e^)-mlGjr1zPamn7cU}yQke>{BLCBsh&drbJ`+V*)j?S5hd+7M|8&STwzbYs zSd)p|_X#_uPLh}6QiRhN!{2HK1U4Vgh`GtvgPdF5LJmAsC)vIW>j|OuOftf(ETzNS z_pMI+^=KZ5_pk0M>arY8x0v23OF^mn%`PH$?3F(%{t(5JINE=@X`11+naXIBSt>P> zr+kJ6x&Ql1!`S2I<0*~;(#$ftlhfv_cZ45o-=P}?X)!RoEM(yPUjBAypb|+H&wXsG z;}Oq)iko3O)2%MfmbcO6PbsbQdx|5_&z$h_RfQl@#>6D+D0jj!g*@p7Fd@)Mj83f#Il|!o^A-yY>j&O&Fm7O8b|)klU2I)6V`@VUtTjCt z>y*>;?4SJZ8=2t?l@PZ)cn0V0y8PQw-U2-ii>ugIXPY>5>2EHZ>_Z9?51q$peGGJU z50pQEohx?JB346QQZfjcPfhA)i!9D3Q4J$r9X>hxW>&%$F=N$#?cpw!O||B?_cELi z-W;WcKa+!CG-H4Z&j19)v8LLuBI|efd2QK5aen>Kv7CU@a>LWI375VS#_1zf=dUQD z_jfPixF{9Z8MEzOpz2{8=H0F-^j|vc`SHShWw{l zW&6Ey*v8iGml=1_uMiK7{67QnJ?wGQKENoW6$;~5vHyCBx))(nW915)mS)#w~>elynaz0$RF`6 zPwHKn!lPQA_CH=-4IlIJH^h9C#SkqU{tb`~HsVeJ-1!3(CK-)^1pd`%Hlt5wN2{H_ zR~u3FK1Zt>^S75l5B%g56z;#jJqtL?UK^-xS$%(g7j(Aw>^KzJU0E2BnVboCcdz5_ zcghp6zJzw0=~9)}U+*0uko@bfwsp=+pFZAfVO?2X0SaJ! zD@u%=7F9nglN}SmGy>>$Xr8cXDdPslI&i70f2bw_9@{ZZn~_5T?haI4zQ3FvgAEW_ z5L3DUD&a&Sy|4*b&iD+pADk$49jK6;ECl7KWTkFE03s zzw(h0KzO)7cFwM0$f4P+8UN=7;#4nJNb6uj{dC=NCoh$9Oj^Kv^0s_!Fve#xIy^iok*1wxBf zp?4`n|s|ZEE_|lSDW;ITjJ}KdUe}WUD?G2YAf1`xV;GSLc3%rm=?7 z>&!f|cf!>;pnTP4b(vSr(-?FG2;xwSME6JG78MmCC5fD(QNR9OpfUgPWd{ka*cFYc z@Bz=G5-YHiTTpF7wo6u1QpLcOa7Or1RjBSWCRF zI0sh)>sIV)(E8m5r%A`P6W~dYECYGs$CaWXt~|S=+5ZUIqD?74IqB{1aumZ@qe zY^?RVK4{J<H8bpG{KCLq zIC=shYoA}CvFxY}W--oq^RGF;nms8XzoBNjan%m|r#erOitLicGADbK{G&iRzgw3@ ze>nR!r4gFskQ=|fE^ZWYOYa6N1Ui4TBG-4CSC^}kzHuKiMKW@)iu=FsIg z3$#EVymVT@m8UTwOj*}#9L68mI>K6CoVGRhj#B|4GupGGOBuC$Zgcx@4oSzrB9@#} zQTDs8ZDh=><)56Qm&m8m8P>}u^OxVOcsCt)zB`;X_sxl_4*21B+#u;+Z0)h+s9-}& zEKY{MU-DP#!rh+x-LE|R{AM62d*0JBHf!{kBZ8)YFrFGBB!G*WBJX2O-vVd^FlQL1 zB4@?|&s@pAv|RoB{K^S8eS98c7sEF7`|DXmUT_8Uxv+N(r8}yi?DgSCZ$*(#Mw!U7 zHZ>fC~d`7C;A1gTSfE%SL$L+^VUR8dI z@%VX>o*t{0MQ5C4vyo*!LU^}d%G9!Q{68H=F^z%Bugz!bSbS#235oxRW06jT{sASv z5S>*{H1K|b-Yr6K`Q(qk1Fk&bAAw)P)527(_g@#@OA1Q4- z%hOpL^Ob14&Poo+MWh4s(nUC0=d5h=R(5)pT62&V&V6{bZ_+fIbv)bHF++_bOFu+1 zkpUxf4O}1WT*8q8Vf?4$lJ_MnIIoB4J+Qc^xrV%G*T26VZV~pRJIW%R(;-0@sK>55 z;}I(|mlbLFK=pWV-9{Jq8M{7L=Iz*}0HjhP74vWV$8lq7Qb6|1Wn8Ns-9wBZh-U=2 z;*CCc5kh8$oBa5hh*SZdF*_*=3JNDDXK+Emv#Yznfh~816zzuj(w~!ln57}JTne#8 zJBcK5$mI?_0b);es|_OvRRs{LbgM(xj@0~fO=^chbF9v4ga9O_PhX3QwaH&Pd$pc_ zZu{|REh6gEQ!Rf1;^9dX5r}EpFpw3b^sE*>vyMd%TKqmb8lEbW=MoW#x8uRkAbJKT z5J(K0+zIR7=-KFx+Bkpx3{6U7SmHTWZeqw=$$^4qT7*jSx&#XT&1H|t!QL=b_rtaw zi>;vq``Si*)*sD|q}~UM5g=jxXB)Jp0&hsf+@&xd?fr)et3os<)*L8E;tyL)V%?hp ztbfWm_BsU>%2$aI!SR+;heA(D2{Xg4egmQ7fieNdH779=nM_?); z<;eF3pW8Tp%jZut>%$~;kobVLcBkdjtftG!?&UHx~G=a=sXqw6wIHqob1lOMic1h}lGr;MGi- zSVXR{Pbsh2{(SB5&G|k81gHkGP*GXTfb&1>PU4&WxcP5z8OQBlrRL)RdaKDOJ0w$KCL8tGM0(E z$zMzPy%<4jHlo%0z)<9BJq!|z`ZNG9)A-d$tK)5;xIiKj1hi{EpA1pF6AubB7=~9k z{e3#vzsH8MtWS5s`JFlJ=L!71BlG{71sF)B^~4H$BOQTh2!rA`SxAM{tnxlNYnu~t1=BU&cAW*O=_|{7@P5RIobAmHXUZYd+IYA(x z8MFaJ8&t@jr50RZ34z_>RJV%-Tg(1PY><|RBsb0FJGlb(r(V9TES@uB_})B<2Wwjw zp*G0ac-4j%H>haw8SQl^HSkiLDCva{nll@*+b^b^UTk*h;Z}&IWEq!vP zxIBBrS{t}Q5J*no&93j|iqDuRPb`W7R~gw_rx|tN?Xt=8<=(S^&RAhw+tK;wJW0bl zXU~W*dRoM|7Zt{e;)?}(>jlXn?9Zs)_hs|TN z23>i)F^W*)HFY?#!a6u!h69Q1I6>Zf1IY)7@9E*S`AZS?nh8>;zP@=;)4Sn=7SChR zV5DDdUTmHSd^T}4FwH#W^0Gmy5q(2q;;UwqE#}a}q!YF9VfaWK2t`%>H{$0y)(>?r z@91jsNIEp^)017Paq*phpTGWnelzm$0U31ut^&kliZpag@(}|z;uq@3XRq(iB0vS! z`95XV>w14~MR`7SoG#vtWKy2j*TB)WGtj^E?_^tzI;m?(cjI^n^JFN}<5X4Z{5oJ= zfV~#BZPCk#1-2L&6=i=QlWx~Ub`s^-lpZJpYNdnV!IjOUf^vT!LaG$_m)6GFm)h1T zK-PnePSZVt5YWF4{cmDV)(pKYdN1RKw~ns^=yfPakx9)S|qoc$D zk1A23SQJoNHD@2u>XxCrUHuV0WElYc`^yig;-7sH+86gQy7EC8V2UMXG;Psm1rlG= zF^9EgIYN;(Z^>vTGd~dTHdgg;HbIxsef#+fj4o3V>ZrA&TD18M{lBk8p^+iOTN?gM zX&7Y()wn==H)380RwFlRarh{(x6Fhe2CtVwY>K zk|_`q%H$t}A@X}`6|(JyQ8_dliQQd#-+rWwz<`g*w&M)Tf z-=0FhJr~`&^jS%O)6LAz_S$_6XyGXNY`68iR6X|V-`8UTTe46`k)coQ&zp%%Gpv6o zXR*-!tojf?yoDAa1rG8Wr}_^k7E-4PZql%{M?cfn<2g2ZS}_HTL5kwFgnUdYimw1_ z&#Oko+vXmAbE=`9!uQ-kcj*gh<3hXwOv*nBBpBd4HiG^xH#kk)a`~@D=?61mWa0~- zal8L5pmC7DuL27{KkX@f4N_`Lv7AtAY{ zQC(eK@$=3r?Zhi9E5G;l`i2rH#ss7kdC!)`qqy(cXA|^e=jbgrknz`iJxTBPgK)Rr zPbc;#&9M(qWwKJ1efV0o`I#y9*jMEJE2_i@YXev+T!waWmz`#eTOd)I6FTti8y=YI zhy*lj>q{~n6bcPqI*@}A6f{4@l+eK+?u)=YnbA_)7&E6Ojg82!3K;hlIC*H7;NQmvc`iQ9Ob=P-7mKMdes=nM1p2ehU!r6rzZ+DcmT9i>b&P50p3QPgvys) zUAPv<6pI$sfBf$b4;euySGD4=nrcr9>=}qXJm@a7S>wXDA3yXptUH^6D_Leg`<*d# z+WfmXc(h!OAQ)=XGj@N%=e#I`t)KDsr5SKK0ZNp9PDQgErYU4e309IY)-jMs0Vu-8 z#;!B0<`vEYqa9bbPuKb$b+#70Bxt2(Io`ub0jX(_FQZfpEYR;d#r;wl7&^j=8@+q2 zc6XXovUZ+j@)iB)9z9%&i6|6=It&hA7nx-u*zp3>XaiQ>&eYl(ZrorfkkTu!x<(}j zU7M+JP;I_mwR)=B+A^-b-e)70FQy`hLH=yQ0no$W*Kg)fVs`wnaB%v}I6pKuH#=Y( z6wN|{oNk|gb@;Z?oIN?D#&^{Js03E~=Um;(o}C1>eO|I9g|uUzoe7*c7_+yp4=mJaNkovX{A6hUu~H=nd_#{|(n54?>h`->I$YS%(P z{`IZziquD=#gHS>JNB-dOe*~ujU?A$Z<;A5efHyg$Ux;B5?^)!Q`1a?1lc6N5aMQvcEgJSg^c<=De4_WY#gB{_a zA>$>;alN_meE-0QK+kW+0h(8mL2Li_UWl6i0RUC?fp@PV5^71G$Qy|<6Sp{dc#t)S zFvSGxSus0S5@l#ZEQb@#_hu?|bTZkqq0^6D_T~AB0WH9ze3m2wHbPpsItC+I)UraF z8NJL5-+0$h%hMz>-k=>vvOLb;HvoL@;G~@qAP32j0lumMZzqvrJ zDikZSFav`-dmKbhSXh{yy}hKRrR6MZ?83l1{Z5?xgRBrQC86WxLrIa(chJBFKk>(} zU#eC8rv@s&^K_#UQ7}vOA%JKb?*-MjR;bUkraAg@RL(OAbP*Hn;J|FqKq}P9(Dbzvl%CkE{xu< z>A=AxVO96|K^(<824=uOIjz%YrPr_nhm$=HhLey$w9U=wdffYgUU~_m&*pbfR=*JU zj)C4(3*fMg(;=LhCK%4Vd-Z_Rc6B(h&#}IX+>S3nskxLlf{iwu@iFVD_%dd%K3U#gg}R{aEgf_M#jKuXTX^W zO=`jV5O6e*{Xn)A%1vx16fgXwM~yA5Y7!zLL7dew>!1@4WjoRm1SEQ3>*T#g4X|KW@f+bel2QhVX14G?Ame$w!Ur_dPfk1r%u zvlzew%{a?1)E!6&{#6psn=?P=wADcdf|#DI6YT*TF5(R9g8BXQoJqqHZe0mQT~H^n zu(5lsxOL)B5XDqKd$t+RR2LAO_)=01&o1xAnQ=m6SO2E$_<^X>XU&M^HbK^8E6aF! zmEMS<$sm&g1J83}X(i8Y#u!=J*`bYC{bD{!+teB>;|QIylc7y!T6`YQgfjv!)2!EL zEvj6cC)aW80d7Q_44FK8uQ!tXB=%>gHZ#mUgPCwlsXD(4ZBQs8`8q?Hfw%rS&FPKd z-$3nE-7bY=k))6i1PC2&F$ky?m#A@@uo0_Dg-i*CzKuGY*aiZfcf(s1(H2#+IHGUf z#8262pY~zk8-sihF7-_1E5BLOr6uUA6Ymy0C)V*tM3VDn(5=#epJF2;{*Qoxj}gJ+ zuDC9M)8F4uydR|&HE5x6lcb@DDf%WMl8N9fV#jZMoZoEVpXAT`W+L1w2c!&)u?7%> zKy3h77)nk3*x<&)h+w|JWOU~U>s8k%Oc(*l8HfSwnQ=q?ifG`IqQED)mnB{dwx=^pg(e#oYi*v5vBu^03+le0DQnaREE1KTzX`&VWm@M05-CgOeA&F)|FKNS{5~5z#hy*8N{7FJK2z%*Q!Fq*gZ~wY^bXKe5$hq9QYyvMyJkG(6-`~yZ>LFlO|sxRFx5x^A862Y&ixEo zN$Af@-xr`bVaWt8t*x1+X#unXde%T;0gq4`<<__IwD{m)RXT8nEjXbxXi_Hb=%cRgVRWMbus}Pm|X?q0h1M6A6UnLKY&l0vLm7#E_o9SSP3f$=0{x?@Er>U z37~spcD-2@1~V&50096jt316+$E+0jnm2M2fj?U?cPiBwkt2l^A~EazN_RGx&A1g$ zP4t|o>vo$%?ezf|>W$6F$l#85K-Sdh+i?5P*-7Qy@uqJ-b)=Z~GYuC{Snpe|M0z*@ zfGf1gXu-)*2|Iou+@?w#Pb18s@01xp_ORS)R4SU!jIyv?T2 zOuL&UZ8Xc2O{30ssXS1fTvtVSO#?N*Jhun23Zy4B#{qB+Ad@171gGHVtF$o^P|)J) z0K5!Dia*}M0GPJ!%@6jNaWb)IzjBeQd_w+jG*`KdvoNvRX6s47M@5h@e*gYm-p(sa z$i*3HUibRkfz{{}7Lbsv-#7!13>X8DTL3xU-T|fk=#oW8G@6AoA6Y>X4-Y3w!_*WP zyeNMX6}Wi%s3^eG`ICC7UP~AeLtUp~)(aXHl;CaKuX@cmwO2y(aDW&4iX^Ht63yV*-H&u6yabmB0_Cj&VSO)~V7pKU{7T*#Fo#^m2Y_sS4U^ zfq@c@PXQDcTiY_tI=(FBU(QXM=qO=kP`S3G1t;C&zhGt`K#}(!vEJfrDpG=|{+jio z>erier2I*FHB&z`?krI8)3o$Cp~%DTyxWoV_ENf4&6Rlt|5dWu*8TAwyo`(}#O`+0 zECDFD$NurZpj8i$*)RfEw1FGN%hBOb3P1pd$R5{CLkD#ZptNCh3jGXFh!v%5l$4ZY z^$I7Sg!KjkRkeF9>DMnC&_YEAqJ>4hz6x9WV0cd7`|RwE6JG~a1rSjmrgzs*d^w#L zn<@qUbZ;;C$rG5HJ3-+y2{@5uHEyl@vju_(D4@v-$jJ)DOt`^-Fa5hCY!3(Z5o`#+ zVc>zY3KlWU^^0fPu}?(b5QBJ@0m#0812WdY>vzhZJq}1ok<>Fo`B~SK-LibSM+_fu zreX}Bi+-aGHUubXc#kvD5Hnw2D3DPZRE2h7Ij=^aw;uOlx`PRubg!IZDc;Gm@~SGN zeolZIo-qDOk?Ko*ehRh#HUeBRK+IGJT5mX_^&AC89|qhY${ae#X3CZq9{?b{TbpsE z9tAT=ym3j@Ffb?hTn?gud|we9fPgwp#2rw-x>Ew>1eoSbC?T2ed0R#t?Vyp7p<$&| zEOmk$fJl)yH?NzcH0uQ@amIP{K57HD2jH2EhK#(tyh^@}Wj%Cne}8Im@%_am$Po0C z&1@viK8X_{;2c_(u)}&e4?`G7^UOHkoxP!lYZ^)PR&_O1M3EvE*Z;NjJ?gFF2>eo*A2l6Zr zsBu6Ic&A(n59=34<*7n0WL1f|JIS?fniups+@0Z>7hDm>cK5y6$*5|-B|*KyPgS~^c9F;0Fte15DqF*3AU#WaGZC2x;)3sYGt#4D<^4gRFMp{?i|#g~!*ZB#N8D;GqEB z>}twK^tn@lFr8!6&#>-wHy$5;2~TMm+t&1F64XdVQ6`cFZ-6jmnRESz>{ia2yvQC0 zuJzt)Fl*cfWZ`j?%(G_%G2kAc46jBl6+Bne-O@ZZVE7P;52bucyEIZfY=eCc6T!(Z zYhZBtgcn~LuoAaGYSQtii7pSnF zp2M=IO$R`y)>(Ba78DNq<=6F7@)Sg;Bpyhd+M-XAQ$LUh)1=-C)y`L4s4J>+Lc?Kj z9gPnL*vOJh<$Wq_xqVg!kxa4R7K?R1YRch|Edc;_pKm=$D=4t02N(_PMX76ySXSet zf8SGRki%3@Pw)G@3hIe-s+_kWA?jP4b}uh4ouzPfJY*0PuWv?EXE6A$W9vPIs9>gh{5$ zDuV0FumIkq1j*5!n0wWfcPBQv?l)Vm7KLZS^=RyyqKhpzbspSEqN`XCp z^AoriG*V-9RVD3c)IFzEwSbq)(l<{p_AF!3m!2S|30_{D5N61x9?jXaf9|k{@I+2K zH+TP*>_x=nqp%|m;D=VJv(QTc*yU@ZNQ_XQBLr? z-)KZ77>Y7->0NH~sP{dw2)LQf*Yz&6Txj=VY47Nmnw^aRO}Afv$tzx6YaY4%N3~Jh zFP+}?{I-7%QV=~=zYG)$1<){n5(VjO>h*cD%DBnI@@w}<(qBn!>JAEV0h0jaHNH)A zDuP=(ANSwV4sgi3@m~$w`ITS?PP3IdKN@Xuy^mHC2-QUJeZbUV>;F>J{qkSZ=f?0jx~T|uRJ_%Vpgji;?@GdYs2l`uQ%HxGQ=)c2Gr-K>_Gk;FV05` zh1AYtmQ90fQIOMAxnNgP=z!&PzBfDiP^({$s0QXKS{*;Rt|fx|azOP)g}4n8>zRS+ z7tpS`FTT9|cL&z7cAo^K!dFCW*Ft8~9QbT=#F!QL^J{KH0y$`c90(TB+T-El1M`QW z3eK6DEO9Da&t8su2~nkt6rbkPpuL5mgA>lLVjYX^39~jR>2EiwRqI&bAx{7iw=Pg) z!A~mV2E^oo>D^I+rCJ$gxq*{m@q2vG?z(Qx7pBDd`i@Kb+ULJIST+2JF_yM)%Fckq z4$xjKltz7uEX?V9iW47XYo`h!>mi4__9m)pUBbT!wArSIPo<{6+Q=SiaYBO z1*=b5fSIHj+q(g#^5I$ko~&+$K|y*6Z-*CD0c%#JaWlX-C$uqWS^Vd#u&Sh~Rr=ke*Djq;`bia%(!G&dX?{7MDTM z%jK}{y8~A;4}lC0)5I`T+|A>Set?d99w&UGs9%HIPE~Lh@W~Q}K2tL_pY;bPEmffc zALHRkv$BXTEdOJp6<12&Gbxjw4}*`gXGNO=;IQB{1g`h1O=Ib%ugnuey9v$aRAq+r zJ|rNr;)7t^$oWjwCJ~>-IyQQym^TTO*1~QRK7bw+V1)x8cPkuufZCMp(hf?BIS5UN zTsUR-zm=o^7eW)p;5%g)^-#k{2U%mdo^FP9oHuzI41CV>dTKMPkS{vV(relg+xUmw zAA9yTlX(e|k&&@_ruZ9jHG?*e=#qG8THo~D5l_6+4D}^bcHmz>c6UE*U@dBEYx~H^ z1pw38HIchM+i*K~@0Zy^IJLBo4?ng4pZb)Q{2asBdb^aLzX0l;CE;t>cXD=S`z<4_ zs#Ktk27)fKP5X$2I;kIY6l@xSdQnhckI$FQRy(5VFi^t00E268z8ZL!B9LQJJGtxC zx4{W^X4bOgL2cAb2Tv*Fq(_0BXC=eXO=|T7n==U|@o3Nx$;ruqJ_qSoF*)@cJ^QTb z`8h{XA#uwM+|+54TUpFUTqHF^P{{PFSSSaJ02f3+d2KC6ADTy*x^*E9TI>d*I-ghC zpoJu8Zzp{~H}*0H}Z<=0inAg;gXyc|za*Inc$mKgM@!0-z-i zBAT)*pubmU0BRNR<=IWTYbHXF+yy9g#Rz$qeF2i&Keqs?Ezl_d0|4poV z=+k7Ro&d!mjtqE ziyK6CKQ4d!_CeeGLtjD?97X{24?J1-z67Kb@1HDb%p@|QPjRBAz|mz`1N?}WG(5Gu zY+UC~EQ=486`9mZH^+Irfk%c+rxMw)fd&Oc94~LhCnLsD8L%pl7Tr^0n08Y}tOjA4 z1Y54$SwzyH`wCFV^zHx{Y%vGTmc>QG@8gn{l7z?zU^W5R5Ac`lZ-e?QKU2nFV-1@2 zg#>wAno4PDPLHCqEIxatl3>ENrLV$gr3~vz?nUQU`Va_|{qg?=_?o zxPSh7yLm?O6^dM1jEtP}rjixEa*7y>a|0-|^xr1`GuUHgpu4FpGTFcDnZbrP*}#e{ z8EjGuq@PD+77SYe>4Hb+u2}!)`!S*fxpYE!36SjM&Tr_x|8oqAnOIw*#(yQ2#A{fkN#-2{5`eQRQ=2r{MmfF=A9;cTi~tm=Sxr6wgNGBT zv239Jvig-eyQG?Vikxq!I= zLjmfdqdDU4iB3gC;&3|wI;@!%4=s30fSy{I1k_VB{+2$%!m=5Z|7s>ilXI; z9-TeTs4)kiBmhC+DGjPmX_!qR#LhF=C}H3Kad_oeg$=k<0wvGT&`@stCCGB;uY27o zc}-*`?!MSPk@i;Hwu{WdN%=;GhCI4BlGUo9P($(DMUmM|4-v))1}C1!4e9%s^HJ5s zgpg5F>&AN(;AI8!WdrG>IAFNAEOqXgoSm<)KD_!%h5`&Raf?}uTBdT{)QxKaXf)N%W7&>yX+d{ zN{pdl=G&ys`O{%;;GL%AK&zP$J-sUfBN(~nk=r!6W@sY}K^k@kx43J19~y$OCM;as zoo#Bmnj6JhTS1b|U!cEcAEc%!2$V`7ne(2nHi1Dodm6=hMNNt1!B(Q`iPRBTfLQ)_ z5}U%o%p8np+ImWblyG$>WFRv^1a+R%bXaMQh-L4?haG@sph46~Z40vK$ERfE`!DWagd ztON`1x_vS0VHZf&5;W>*|3(@<{w#oeS=^R(=)boL zMy#ZCa?89hcoVc^)q?yI)I<_nU9n_Sh7QsC|woqT4 zfIWs(SBag-eh98TCgaItJ(>p3ubmmN1sQzdFM6~3Ir1lmS!VEmgP?-D5r<+J^P)SB zx`elyYrAfk!RVw8!Io@gr6az@0C(;{bO%T&AQh)8mnt)`+b1Wp!44HF${hU~c zArh*VPs9?-_WC?^~}bmFwXYW;nrRy+AYfs1Qg zSYfkO|3@oV{s>k3_Q&?vN{lfhAtq$Y7K#wV*iH7WY-5R`Vn{@iHhYXATS6#f$(}4F zjI4?H%9gSu6|$72=)HWO_lNfncz-fx=FBOh9ZH_vc~ZzNcF~T4 zcyI<8tlqhhI3Ei3S5!Pf<)HkulGtVA;}`Z>CD_+Zv8sJa={v7NMazhbU#SB+Wf`DZ zK!*CdPZSe5i`|Ew4(Bcp+xRR)R`AlEyf1g36Ee50K+yxBt4zXP-qKFdKLZ&NGnUjI zMPtt=tpDCIZqrnmP%hRl&CAn?;o)f$0OL@~JezBXr4b)KZaPo3{3R_2zM z6H@V+HE}DjSz~&*DytYBJ8X_&T;ZCfL^>C(8t7zVx0zNCZ$5>gdE* zR4FT3>ztz>)L=CW0ouw=9>n@zNJvMUbT*?Z!M%%nbRGUgy@k62q!^nfuqk{Q`hU z>uzJwi49)#sG$+R_JEl8HP{=9c+UR*4R1l>ISpYuV^M}9kIi%DZ4P1D6u=sR^UrnnQ2~~M6J4|k*P4=iW=2xW^&@bL zZK-jyQJdqmrS-^wC&9p1F7CWpvju`P-bnDMv4&+%De~o-9}k}AlRtm5p~t!3R6o%} zMwUY-Fr7s)1?f*RnCyKZU45}(VNW9|b*$ysYdN(4!~{S;LBVzw%sGT>K_5Nid`?UX zL7n|^Hkm`N=?59r!tw!cNq zjEdB%8zrAD!?H1g@G2P^UI`#AU$XV$v-zJIhLnPWT?nr6UA8J$!4Q868VrJWhAPan zy>g>CsVD^4H>eDg907I~ULkFs*=_<8z|nQ4aze zvyS-(lNU2$G$rin9yzB=#IQzD>5Tfwk8zb5hGzN?4KwT(00cmUB}AjVzA0|M)GlPR zMPrF?9-cmUUxW>uh<|hAHkBQ7#&c!DcpM530eY3o|ABo$GKpEIvxl#{suX!2b`Z+v zV#caSgU2?kb`{k}15Z%jYDfL})`SxF52eInKurB;bwu%l$AIXD%slQP$s>B^cFnfr zY;*E5sE&OX(bc1oe7wY4FqFL?K85=Xwx_O!u>5A&5Ecw_g!kBOQ1^5K&U=!SGmd!- zf>H&!E0}~0uE5ey-Ix6e9Cefh@YrN?Cq=2)d`hl{YMLP-L8Bj|L8$ry+E6=D(Q`nm zFf6N`Y&kbI`!m`Q#Ksnw0BdaQ#0eBfY7?`)lvGflJzMbyo~*vKk#MmEURc;Lrr<`W z>M4A=buGg?rFQ=SLA#1i0-RlnkX4B7)f_i638n#%k#9@ou((ALY68g|BDKGZZ)G<~ zkPj9nz9UwmtU0+iLjw8Y=+v}zdc<;j3y5ij4|d+02?YdD=5O#tPmx)SbG>MV&-5;SkDZ zw$HR7MY-EQ*?5c|nN0>ob!_1NqZ+CR8-R3x9u7YvO*9jD+FZQjZ-w7!PjZk=%T`4# zfMy5!#ZftMaTaj;IjmJF2SC_yECX%lQ3p0QU&(gbYgnMmgFGQ@PL_JjB zm!4$7WXn(>z-mP4Za8GBA{?W~h>r85V$C-HE z_d`yy65FaRj$$$qkCu!5lHb!H#h(9tP6@|>Z0M3)#U5ca!BIs@xh>6kb(OkKZmMKt!0OPj(^SMG(xYNv@fzBeD{t{bBl=3^1?xM z?eqM6o{ytFpUxA1#pZs}*6JM324?3ve7RivYn*xBxBT-jz6bxNy!(RcV&Z=jYIV+vCP*F6Vd3-kB1E_dhxFs%c;COr^CMG+>Xs z$}^nss*Xu@&i!_O89#U#|1Du!Z0KdgPV3MR3K3m4Wy>Sqrl9AKUhLH=O|tr?T!-aT zLgJ+lpc8Uscw8Ccj%YnRV=4(F(JTmw(N$=2ep=DD7~J;lC&&3Gt!`cYJOdm_G!t38 zn56kzWi#q*j8|AsvfOZJZ+ACGBaunxRs8pm@4<~B>)PlL$6AAuhu+zwOo^zH(o$K( z?u*=YH!PYJF8%!e;@lwY*p~ckr8uk6CuV0d3s$=LeD$baS{vztuKha_rw-T9VzBPW zWzl`s4{+kj1Ctj|Kn4kDMu@MX88;*$g^k~Ic5)X|rrFsK#xUcPUrCQ1x+9u1ue6T| zl&PW{QEG!MyET|m{-w~amA78JG_Eu9xZd90__3V?^D)yU&W1O7+{Xoa8p`8HM`DnI z`mt(;jNBHsIIhIrjpJqiv6XeTxZ|v{yb{t*x-;lc!}omq8T)v1LDUJ+TBm(;1kQ61 zb$rpeA~w%Pzv-Xmb9$+ajN~7v)b0{PM8KJYUCDCzH<2#A--E*p7n)sXqE*kDvl~N|Y)J`2_A$}nuRA0Y?GVUl` zBIbo^vS&e8u;mRM!atq$MqJm#@ukEFim2&0RCtW1MK!Hr6(3EdteKja#Py_+#;%&G zV2Y#E)k2VVspE}(gq-&H>_k8JlQV`d&KPl-?P^`P^f;nO(T%{@ql&-!KuosAGU=ue za>RdI@8aS6J>p9LD1V^X)G+GI%^+kA#SM@eog0&-%$)YoN!0~0C{xt5T5_jU@=WeM zKaAO`w|-kyy2X}It5-EUEZlgp#V>1H=#wr;&n*F;nJB>wUaFGld@&J|CaBpsd9fGt zYF`lpQ}Oh)uSuSF|Jn4N8`x1K8&k1Gfwy>T?-ET!bW&I{IzhqXT8zzq+J9 zB8~d6YzwQIXZ78wsZsvavhcUN#Gv7W_Tu3$0$n${(^+im=zo&$y+rlypt>)2{u*qy zL^{*xN1yT4Vn*d3zSfZIeL9iEDV>t*lUet%KByeJ0ICm3W*?AF=x&yDLc&m*7cfqN2hD6 zGH*Bf#f1x2m%Z{!S^Pb+l}{(W-ZwYKq~?IQUMM?@Bp?`LIcqH>QwV6otwypdkqhmi zm?~5hF1u~Dq`RgzJJWSd;`-qhmsb5c^Gwsa<4Fn`_b#DNtzGe)UF*ES{Y1#qf-^{? zI-2)JM|G1x3KMSo#8$*2v95FR;Fo#V>vF*faXWtad9IK0I!u2S>;utEk!-T1xWN|$ z@#DvN0rXj2(8p;P#+DM4v!iXsvFLZo_Gj&f-R_#?)+wC-$MW{Vg3rpPUVciAOa+C4 zgnFnF)gz*k^78X_o2Mtx5%tIZ_@CXBl9#u;fa~kL`|w51|J}^K@E9eSmlY^e%7i~h@_#opl5&NxIw0ml9GsjGD<~Qh z^o&nPa08qQ1rw6e(zvj&Mp6nD%yeTDlYq@1Zo@^AbFc3m-h;uv7RMpBxAJT8?68E? z4CF)hz8?^v2qN_E)sLE^pgrjm2wbsoarEUE*Z(HcXwrU=j<>O~Nzcfz@OJa35LzJj zxbW`r%Ac)3i12-aQoB9P47Ut6Go$Th{#{Rf*~w4>?Ju5 zj@ZeNA0k@Uwr_1LPd)a_GBq{*__;4@F9&z`z+u4b&?(X;i_b3c@ae>*r6rb^zP`S? zo}S{MxL7ziWW0@wEZ~KPI3MyVD!5r#SUNj9wXa>%Y-nh(&MLeG+AB3Rl>zZ@!C6d9 z3_IPn*eyI#Y1+)#v-CfsRVKm@N0)m+yS@rXz;;sJWwKEF@%Cq^Z{KUgBcHMepWrU3ZAGB zU;+|nd4Vtyy1gz%CX;2WRZgY>5e5?daj4j85AFjEMylgcCSG1%Z{hfplX=2-w)tLO z|Jwn^kaZSa_C^7(!ritTm6eJsYnz)P-GwY35F{Y^`VPE*ADx*gF#K6E4~p^5Ht z$pMAn-hFwO>GzfHaFh_qfnrB)nHA8?VV{z9#{1=+n_8ezQPP743G3@YLqkI!`?5~# z4G0#OqM8~zB0W1>k3dKy#-WccF#ByRP3|QYJ3HAR_yhB8;p9{{CMyn(IowddyO;)s zO6#-eNR_cu(9%jA7_bNm4kk{$xF&VT=hFKMhS1Q^%|Bbm5xLO6=Tz`_bH7vpIF|#^ zHs|?sHTaeF_4R`9chDJMzmkH2f)EIGb#;H}a!N-ZBMkDb)s8RLU;C}Pmw;+hcsnr> zpP!E%_LABgFDyv|BO~_Ur3rRKefX9VmymkFdnJAGXBQ`N?(Rq6XgN4I{Fgsy!iAHU zpU(*VQc_0d=Hx{KA0H_~jz;lVY5m~aw~=;Fo!zcp6@UWF`*KcD-huI7|6(!G9ERE2 z+6r0!l1w^|xh)f*02hCn*n(v={52)DFm}Kj_DD1&+4wss6_JX2AKzk$|G#$%HwJh9 vJ8rVpwiu4(jC&>-Q6MG-F=_)eeXNJckbLj z;Lcn}$MNtv=RCFdUTf|37^om8j)I7X2n7X&A}JyA1qupA5DE%99MiH#)^R7e_(ziQi(AA>cWYZ?CCd5jOziO~hV7PzV}s|%yP9y6ukSJ3$d1#j5FKG&Cd~9v%+r6qS@1 zt#$Y!<1h;P_kl;=yk&?gh3_+GzgQ1u&^fDKSkTaM-TO%7ajB@|dAEflP61hG=SX{m zF}|B6?{>Yqb+gGl`JH)_bff;LkLHUtp$-Q#-JIP2?UQ%5^v}|*vf;*Dn#R1zyBrupC3!d!cv*~w?Sr3S}OLA1TySw0?D6{ z7b0!Rq2ECUF%StW0U0p0`2PnU=mmR7cBf89PxrMv&d-l`$QU09TQ0M_T=1kEGI&PG zpCVKA;Ai{$E@@$E-X2xtIr66AV`wtY5%%vK-@DlnfV+2W_; zGbKvpe5na1n6eM@ufSc+I_r1kmyZM_Jm3qac*r3uAoq^st%I-cYvvtsurOMZ1El4t zJWkA3D@}vXp2JCOLuq`;;zTY!9INh1|M!7H0|#pNf6korGd~XUc?S~1=?KqBL|WR& zQoUXML1`lu4b24g#O=qy8DDe`p#{`PiT~puUf(!4I3x@k+uGVPCdz~ma7EE;*6gC| zKbmRR=qRy7@9*F7UQKB<3%?U0hce|6A(L!?-A!{lZr5Yfy1tRii(XnK_OnL2_b(5Ut4{CsoJ<)d+BXi^g6yzi%TsY83> z{S7qY!_GZ~f9G&#uZ3`wUwaouBwA*ZP^SJ)VQq*poNT7^m-AK6FSLC^10#r)Sj>1U z`8#{lH^53V8Ok)tv41o+HkOr@Rj+ojzpqbkFpi%0`F6vCTh-L`_{xhKfmMUgUEM9I zU5OS!g$`brJaD}4U!`^)!=p}8zaVGvTSWi60aG{s-W|KosdW!= z#|eWk_phVj=-D@U|BL--I|7e_D5#G|=m~Wd8#^gY-cIoWlPB!g6% zt{`$j>W=O6N^=jw^dsI-xXZ(o!OOqzA19+5^NR`^PTe>fer#y)wCot?*xb-BC$d)H zyM=vq_S#T%oMEf1EKO8=8oYfz)aQ6Q!2t2LApGtRIX0rddi56UAjj0kmH+OSsNq?P zYh&v&GEC9Eaus|F_2)twL}8j>+@+#`g)FSN5`m6wkDa-@jvtRES_G@Hzv}%lpY&{KHPc;0ixkFBX@GLt9Ep+eL? zM`3mMgb5Z1Z%XqF=}z248`+wS#c+{4jsN{CbM#EA`CJeLVjj*$P)Pa9nj$H=ciZKfU3&SK(ig$v7|T=!abNCwF9k#cQtP#soRr%h&uX ztxp=ABZKBmy20QtyQ$PiGklP+4E09I8sfLcK(-p`R>$e!PxH99ldHXk6Yw}%`KQ{h zkbvbMZrm6Tep4jJPYzqku{Ute?~*rGcC?LDL-`0J{vhcxD?*(p6DNHd_BAx>JCdmi zNB&j)xyjK~mscQ9x)m#CBvNd9s?-j4^!<2I{6TJS{~}M7!-w9I!t>K$-6hYpx}@B* zy|Cy<(<{=Bq@F{BSQ*0QSE7+eY?fj)sH0sP%&8mYxqo*8eAyP|%Nt8^Q4}zD7n^^Q z#(uoyz@BKPqoi0|@#)Y<~FIr|rO|LpzG-@=p zxv#fS;96~{B^L7@LTXU#x3>#Z>$eW`&S2C%0)rzluzl4%%NOtGCJ+`VAK1wSMgpERaUB6{m#w_-{EA&O zTeZv<1G-T31&#(IqjDPs;{F%s=NjO{*6#!?cY1a4X`-`ycLg0NEt+cfNyJAvK`uDP zn-4WL7{c7nJ$N@-jaZ~3tLhgR=`n~iUmK!FHMEkYT0_LyJM*;Td=i{he7jEdM2ncn zSWNq&P|7g2AOe$yXHO;lZRlOG%PhXmV3D%4`u?b@r&zT+4^wu4XXYTOL@wbUXsK z(r4{P>6hzwW{wSW2ag!1`(B)3K&G%KeE%C6zt{0bZ+1Up$XTy!MZY^FlZuzIl#(KA zAldA|d9C{BvGYSG_^K?Y??PQUv{%_6FyczecD!X#@`E}&YE@3#>VoPt^sJi^uQ)os znXc)+P*32`WaXvyS3aC|uTZQ!HKl>YWb`Ob4D4)-GG<eQ~|CJuR9w zoAWC6t>}$qpc4TJMh|F_&(2A#Jz6FJF;3pB_&&h4;RA9&J)4T3)K{qYTP$ z*uK=I$qw8}6UduPNE4yYtjK65}rRSw-;Ctt1b(+^eml&OVN>z)AHvKk|+I%OlirXDA z@a>xItIPIHvWuHG;V-@0sEx05^u?Okrg_&c1PIM2=oOP-$-Ct8tWN4x*k2F>Zcw|mtcXRD_frTj4AXV;_@TG9rzvxyQz zN`5Ci%@vD`Et#E*vZ|w8!jfjFtFbf}(a!sru~Dry-Iy24N{FlXlIyYDK7X&$-*@ne?>5Mj}&nm^l zj|hwq%H?$wU%0`GQ5;hY@c&ZF?B#NFg=wnz#?ZK*)IZ9;#`%3~?$;seG6{EDpN^go zwxw0Xi@OO2zZaEde0~otNcQlRa2JonwUv$!l2Yd^bxu|4fbRtqmX%I5oPZ;>;`|$= zva}?g$Bt*Ue%5r#8Cz!AN9${JRZo`?ry0V}duf9&&vLpwXh)e&-`6SnLKZmR&9GuM zs|~6LC%cK?=w1GlbM=q0W}Xav{62z?XgBF%XF<4##=cJ&g|6suCRI`bPx+I)N=ee|-L`gaX?g(_VYO)hBDwtspy5afY_ zLIWyNdGYN&N$n-=#xI-qtn*Ee$IE=M!fOYuk^!(6qw=dGglJwtKajuusJIx^4VmT1 zj)_RsUk6nb0t+~uJ9-#inqD<7mN|XRBqWEPQ0FW@1JyPq4GK+uUp8E>fa!r>m8h(3hS-q`LHvcPB@c`5bm8QAB9c@9m zJI@ur2qrI@UZ_u}SL!Xd$Gv@;$F+JKoq9)&#p2gm%TywLnA4qU_`lrl zO9G|8SC-Emf>Zha-XnmUXP48S|EWDrfTIXoJlSM>CWW)=V zNnrfd>~^#NmVyVBy+VH!cWA3#hL|=s$iVbEHTLp2X%x`Vua!^PD{F7YKa~Vin9B*E zEzbuR9y710qs5FZH*JGgjH|r&tJ1`$Dx@BDVt#8ylOl zii)=L@SeTxs>jXQnm=(=WMq4;Y;pphn`3gATh>D+D@X0AH?g~fhX*R38~5$Y$N3&bP*!AptKpRB=Ti?FmKKoAQEs5+UD{! zn1%**7MHI)#bpvc_pph$xoiUnhbtaV&um^h=`CzQdAciIHLpUO8rP^+Q`tC;URu{x zzF7FVp3yM=+)4LJ1F|SD5t`lhkpA8I7M*&9&*i0kPZ;4~v^@WO?#9Y)kDKnY`{^%S zXQfq(iPVkal6#>9@5SB}SX~KS zq;>Jo9MP4R2q~0e4>=UbuLET{M4Oq;WrmCjeh9`sHq)`EB@2Gx$gWPp+scW zgGy&I^iz(2%gE%;&lNJ$-vVX)0n3DXGlYC)b)Ah8bd@K?*{$^vNu9C)9M!F?W%JhK zi_g315^NPucP@WuoUE**a|ss*F&WzLK|LUA(CwGCbi+2^rLb$Iri}p>@rz>GpyB)u zEp>ijhZ8Z5gr_5(Raw!-sbumBX$~ux zQwHc(UaUXK^Hr;!l#2wN-~MiDIER8$SzDaEH&Dnakb}dLMtV8Ty5V|E3|F8UvWh?I z*o(Xqbd9u9iTR$?0{|fz=8W@ZDGl>PRO^ULCXXXya%b{GMC^%vTWWPhV8+;RvKg9z z!)*fp44ts9WVQpwG=o5D|1XC7@pa_WfuLp|BmRg__?yZpcsc)UA9X+A5u1(%lbioe!tsVblrk8Xmn4BIF*%VfdJsIXxEjg2IlC z$%kl5=F>ctEBDKO^B@255M5RO!2H{bec@YgeF%Uk4w+ioWmVyGb$Z|JvR8bY`Rha8 zp{sv1Gdc7=3DCmVk3(Z__=PV5$)s2|$>i*feARh*3pj8v{bW`o4G(o9r}Z;Cr~jAS zaPP>VH`E5O}(BTe(oS@_>?mQ$+X4J;S+c_yX`Gxk= zmIL+MCi2?M4fpcDzktvML<@WRNKuS}!}hc0Ih*`QGFo%FjkSN?@@mLk?QkIDP9qoOSSy|$ zZXnFtRgUTQ(bopi-_@2Kxx70`pKbwsw(QJ#DD?^fqa3$G}UI1E5CV=jC=+jtd!_%cK``}ZtA8+d zQrzor==iv|7%Qv_z<6+^I^|D8ko(P-_`;;2)vsQZtfCpFloH<_qsRxAhWsaP?G3pAPv{K?``Fa_IG8pW!Wc?E zkC6e;@m!q-O+Y&UR2!z5u?YC2fst@O48%g%pbBfZSMl_z@j>J3MJqZ^J_=tAM!KXX zWGW7|wRDXeA^~8aK#xHfCzOq&U;YWmAoRbCv*v7b4@Blayaob)aP_Z2~&8`l>- zNu6q1+zcW`ApXsly~2QqT34-`2-zb@3x~hN2Z5*ae|rJAx*^-c_d{RMm)F?|1ondI zi6YViUNQ2%y2vV#FGvCQ);5`wSxa(xnYR3k4oTy$xc`11r)%!Su#uQ#UAezxgt9v> zj)A8f{}hzTcvH&%=zfL;FhfFKs{?Hz&Ft846luBR7;C80jJT_p;b8ETgH7lkHLT(F zKzO)J8bm-i!$%ot*}Ar_r!*m|Q+spJo=F_|JkRZOEl7?$vy)>#B{(oVa!Kip^|>(e2ut$Yt~Giu=W|BeB=cnsHc41xtk$wTr2~`Z*m` zKGmqf!0s_%cTLSLa*%U`;LooH{P4bX*%n{|4J9fPOLe}S}0H^4sE=$q7=s) zEIouX8!acQ?p|>P>o30m37JS)w^8fN@&38bTlVqG&E2v<%r)8HC7RRn0a0*|Yu+BPzx6>I)rJHe z`LFrY+YmV4M5oIs9)d{NV?v8u63S4(sXD*i>=VifNf*NQ?b$~qC%dhgWQ|L3611$F z&Ckzs5`?i6s!g)SS#ct^y{c7#ia){nB%P*|3=%wpR}0n-LMUi0tY}s0oFP<@rz~wddG^qzM)liN@7)gGKGP%0=W$S5q_ z?=bs+Yv9iE<>s2YTera8JwCvF(ZH)8lajV`xmms&zw^)jGjoxY4|-#;m_pDPjcOvvT%B!ED#J0f;j1X{gyTdIixd#+q}PicEfJGdoN@iv>`EV@ zgVI~>IAi0`Ob)oul65@`oT$jcw6zFqfNEoZq}9Q3TtEge-)-lU&lcAQqm&=EXY-|# z_SF5xOaE*^-jpn^kmd&%l*@ghXQXo&032&_=pWwR$@c@yPUDt9#4#{bq4t-X``QSh zvjI2|9X1ILO?KD!b1a3b$ZYXhvjV2Gn+M@qIq&yse|Mg;EK6xCa}y-P#Kt<()dVe3 z)rQF0ndx!Ei(SI7fQsg;;X}?TkrT^11ABo}>43+Mb~9NSs)A$=bTYxR>wY%;Sn36A}_@rUgtnp5U;Uip9Ri$Ir&z3U3v)kWGUYf7faVzpwcNstt5B$*Z&EfV|#`RaJBrpzr z8~UzrcU|?2qwKrtRUUrg?t~jn=|%Q>=$%aTa3|%WoC3fBU2m5`z7IeG$(CX``~0~F z4uYE3y6Ax=Y3y^jT>TPHEZ<-HUt+XgiOQ)-A2Zz z_GG_ZF6VYHUUktpv0jgJH}f6qf2vhMw>DKqF3KyHX89ulT?uP*SnM6@HUjAgkH6yC zBMd{2PvkCy2Xl?pWk*Nu*ZM;X@jj&{guqRd$U*tZm40S}H5#plJ)6mM_}-SnL#t>s zi1gO~ykZhZpb7~ja==@63FWk+z`F>a&ap8REck7MQe@I!Y7V*Lp+GmK9HeV6JJMHf zSpR+9->(_~uo=-k4cm;ds+#A=r>>U?g4MED{`$2oSfJG(sM;}^GKc)$E2M#DZ_Mzl zN=sh-Gs6Ho`ZgUx+Z?WVYdpB34cvxU7u?Nb*Nfu+8?jL~?%j6t6L^EytzLS_Z13M; zx6ujfnf3(eRL1xna5&M`FcYP5BuCJ!_PldVn_B-u%SP+`35FaB0-UdkT}Q&)c84j^ zK&+hPA+UMEFe!#HQOE(4Gc-y7h7E@Hh#q48CCX^5jetdby>4vre$c{NwRjIcw2Q6UGVK1W z*9iit;FKMWozvfetU14`H_g*jM+)M?#!y6sy7rnj>o_}Az9xMP%wq*UIc)6`Hi11C z9{40cPRv}^z_||Qd}<6XewAjnwm?)ar%P+7*%b+&n}ZwzNpX66oMGzG3d-T8?H9@o(B?q^#^Zdz{mif0DnAAr5mj`wm*7-HePyV%*V=XMBC z4yXZ5b0m*O?D7o-4Bf*>6cmGxIEWC`4#*I&3xz%HzOwG)k3%pziK%~x((s2>d(OJUTLRF!KRPJuBUd$875GO!r1q~eq zq)BL}iUv_eq$M4P_yG_kK!ul;4TXh)R<8DlF8zQI^?PzJv!LK@>nd@opr{Z&M?Qg& z{*Z9^H^$dc5C@{uSEhJngfXCa;|O^2LT&Vhn{4!i#y6Fk;-R3RJRY<@)7tHfY#r6E z&U}y|UC5~-i7s1J@|`9AHXhXcg@kF~&{ANKgWw}iXCF``dk*cq+ewCpW$TvZl&`jv zj71g4SW$v=aQ#1AS(>jeOvu3HhV4mdi2eMlv})25l0&D(sd!TU?UVivR5R#=G~MqP z#Xo9GO7{B_r9wQjezi-M92eWe8-II=KHwlTdp*0up%KZbsHhCBW37uVvFE3NmKTIP z0VzR(ZJny{xrqo6(WS=wuHxN{*@JFlv(Ji{m^mA1(qN&F9M^6hsA*{8>OZglHm$uf zmK|1i4P!hz@nU(KMOtt#yg;u1(hXdB+s!vCjhpgva;Trw4ADNu4~kkI=QOgJ7#joo zCGW)KWdF#B@lXQO;cBaH_^I#r_!$-b*IcH`UOMtmrY?oye$kQ@xoI&0hN2CENaktE;QW+g^cO;3w8&>;qfoeA*6Q=C(93v2^epR>x%ipwiMx07fH>&V!Yw;_8(!;}VS3tC+;0DAv^8U+YKMR)RnENy zN>udkofm@ta!gE&J}ZUeB*UytZvsz_fLTqt;q(j!ueC{f%mJy)p;f!uP%2OSYb31G z-K_AaxVWA&&nsFeEC!vBd2{3SuE3!bu4pd1Z9V411U54)0OM!*EFo^;jJ*Hl7PgqG zW{mEyb==vY?{zsF#sg_(ar<(?~t+|f~xi_b= zRL%HAML!}W!}dEY*dFf9(ZLy=^p22nNq1B81MCgNbogYelCXF=Rbmet`eRn*aFxN0RBbDt3E&aBiX2+ z5}MmArR?N3%ZgGo{qBNGKrM?3@z+oJeOLsz1f)IHq|TYAP}cb`d2>J9-7$R8k8-IH zS5p?kD}KxHFWHAIizi*7QfGipZo@UtXPX=25rR*7N^o~xy|8B{c%;*rYK z{1lY{pq0U$P6c)j*8_y+&OltqJoOUy#99RG(1Ce0^X7V>^z7)gY&6W|Hm1Z!7*AUU zK1%~(cFPw1&FzM5;@`r;xg&a5@6XM`Z@KaK{$PNp0=P=*MBy96G5#*4o;MyyEbV&; zrxWKILN+sl=w+&wJVX9Gw5`dK`ud-h`Fl@pKoVa!-aQz=)X*^GSD<0}&o_lq zCg2cc)N{e{<;}QQw3xjSpdj$!wWlN8iD>qGjp3{iZu)+!9st?ed=Fr=t*Ywk&E7dc z@cqq9Ox3;2)kM3em;#S&1*xbARR4)$;{}Y-Xsx_)6*)(X9UDj$hFhLMJB6ra0qeH* zjm;nR#+fZ&F1nF-4jr zo2>HC*OSDq={H&yhgfTzUGADSI`mzV{QJgcX=$&2!Gz17g!kh#`>hz8kt*^iVv4qJ zob@RrNVozb66ph!lwcqQ&D(W#@EjO@VQmBLjO_X2t(L#iMZ2*jf0Faq>t+c_X4Vuhr zu98mi!lc{IH*3~7c}m-nftw!zERo!w_j(Gc_G*G}ofXOFOg?$u{m?8tAsRf{TSSYd z$6Uy3vkDdB_r3JKf>O3DFp~-tCF%&Os5roX$P0imUyHupyoAU%m)aSTg>!y$f~PnE z(YLcnSvwfCszy>{0hbM1FnR6$nE+K>2+hMIHdCZf1Sv8EviFjS!|Z~cwiQ0w#Aw27 z9c8Oafy1%f(V9g9Wjk$WSYoQNwzGY^?|FSBhKbpN*nBVFy@53>V~mW6I$5Ogfzn&+ zkOaQm82!$bt+*DmM79;cO9mmI(i{KSi3d4|>%nkRNX*XW8m;-)L(a`QkI$QQTwbjK8Ti|(NEW7AV|8G?}@D|CX z^k-e*pm_JUp&6r6&~{>0k4~|o_;;qoGz*ll%69%IEEPFX3E3xXKJ_4ye#-bS0mMgo zNOM^?`K~rM`s-2Ev&(6h>(SG$q)V%wz%b_fj5aXEi{IoPIr1R*N4vf1pFtScpZ~5# z{&o+nk1vjL?8%Bi#OkfnU*N!ArC;nH2@kU^CPf2uw!=3%vxe4{j+J$j$$TI6oM-;~ zoKer1J!@e)wmQwRRA12O(KI)vs)9m3WKaQ{FEe0J`d~-7%ov*+w<|ZwW8p?gemIW& zX>jHLukChfDRraI&#ji4d*{sLHiNvqRNwqRNVB)hSgLw?vRQ|rUC(yJ;avgba>*A3 zpnee#C061WXlr1(g z+?n%|WcA^btFlV0M~BEn1Suow7iD0<3^B%+4NJ2>@`4dXnH-+0Aqt)8??JI)wy$~8 z`%qT8Brlg6n9j%ad*mf*c(dPnU-`f~bYiVPwKJ07efr|yNjP2bXkXtL4<@N)&?Shh z4$r#|aw&K5GYuj8JvT%(&rhp&$5;Nr|BHz=xb4>B5@XU2>d{&%7vWj=O=svT&+*ZoF zY_*!`TzN#U#LQ%*hn;Af76D(Y=hKWFtL#QUy#H9ypzg-k|L&={GsLC>PUSeaBj)P$ z<>rnF6LIaVu73!$lEL5;K!9bJOUREr39@MxinH7vr(WXNBezlln{z2rGqtV}`(l2< zcmVll!o|i3Rk!`*yU|)Fpr#2Vum$|$3;yKtROArB9W;CJ5&ccBJxn$g4XXc#j~GBv zegg{w>kZ8+D?CY-jFv28iWAxslY|ks3kgYIQCCY<7>cU$j?!@dwZA44H#M&w*QZN( z`8}XMJjCf-w|u`Yt?I6Mwc~8+LjUK~2@OTxx@R8_IW3@#C^gOcN85XK5sioVv{er&y; zF8kzm#Nc&@WYu&AM-d&^dY9a~2JYR2c>G*X>R4mcDf1U35v0Ow$hJ{bd9T8z$C}jF zClL>~O(E)Pi}>rT?LZJU^x@{>;)O4fW0rWM+o%!9ghRz=d`wzX|HO-&wp_tRfYt{@ z56DhN=Di!!1H4fCC6uu1;0hh_wNmEs=oM8^(BcsZEiEmz8y^U5fOs7n5&XTWqzpSA zVkuf^gKXEX6sTmVHUSvcXU>UCO_dcBGnO&HwulDz%ZUL9IlrTJSHUO^px2c+CCFySC)=jBDm#(Iw@ z*vH#V(Q9!A(rd<9?@v9oX$cy1z|uN}?u)93;xc?%9EMNE%jYrOINN)orXDLJy@3}3 zoh5IGQ5W>}9-j_LFLyB)OK`~=o2AbuX$atI7eyT%!&WlvscIKPCr!hLA{(jdP0>`? z&=Gyh=QXUkQ#ZG^qT}MQe7|>xGV@*xu>fsEMBKJsOD35;6nIE-WfE=s&63$I$k5*~ znof{UOiawx*?f5a{(VertoB8MrPGhn>j2+A=LY}DyivdtM#J-Tx$f=?XYdsnaXPka zK?Y|^lwszzc|SkD7q2~-n25{!XssJYTt>lCnKqtPTW-B3!py?b2YlQ$pSM!}I?pLt zt$~|G{lijO;&~|v0%z$!Bz<|Vh~~S(0>+-ljit31>~6>Bz{R7UoeQmt)wD#@jsw|L zpBWs5;icUYI_0#X26Dlp7R{;esi8#i;=&gQkmUkP1pZVrY>iwJ0*TOBi;#4xZ||leB*I{S%3V1 zho2LlpXJHxAmq=L)FDl0trkJsjqm>?kWAh z{>?~>O~$J;_->LLw*T1_ei-cs=f&8vdEXd(Ts7r^5s9&w|##e~xgvrv>COU0J$kX%l(v@o7fUuVoxgcnI z^_a7>*sP0yyPLgP;rv0lrjMJH0+E(|I2DT)J2!Gc!;HTR3!Ql_VSYjR`ie4hzW{!9zm-{7TGx(R! zUA_x_R9U`SPF*>2e2eJ2d0!7Fs%YJqy1Ciq={Xk~bSc8|YWH1bX8x@^KV6)0P*4!Y zcGE`;QL{k<*`R2mKgl5Ts}}hRwt01LQmV=ii;8wrH-9Pqke;IXT3Da`gl901N6zNf z&@fs?MR9kTEnG+YqJU}?B1Hg|nR$Zj!Vwq;0PzZ?CkjimQE-~*$-rRmNb-Y0E~VQ( z)@)!Z&!qZfiD+^3^lRz}`gh+AFD)(4ezPE<4Iw;?CmoiwmX>Z(u0A6UxE2|fOs?tr z(`Oe7K+WKsJ9q5L7Tx3RZ3Puxme!rT4$9kvC)=T)kYiU=RwkR(KnB`pX6}_V zA*z|p_#9Qx@96~@ef_`WpB2Y)$dlovT+iF;(!dR-uv7=@!{S%Lo&M8nAJ9WED_QX{ z5p5@^hopO#sN;jqmmJX&yMqR|qVT`)eAh6n){>KRzb1k8{#7UC`3Vcv>?@rtCU$&} zk$b-cxK8?h%{pOwTWsCpr;4I-v1;%otf)FLiF$4e-6tYlp>FxP@LG20Ke>IvkTm?H zkj?n5X}L>t=dnvu3meI|gO!6rQA_LHtPKUyopCTKwz}#9rc=Ls(M%dit1hBeP?24| zR@CDXlx#3EVNbL*XUOyq(uz1HPwF6BPopH26NN9o-5W*yCs;$liV9_vuViQ`naL|K z;!N>izV+9*d3<*?+dxLAGczkf)R(kDk#-QMJbSHQTf0jrH37t4d#a-8LTTAhe1K1} zq*>Oi-6_q;u2bX+?%i2B^yw{Kf0@_BUGUUVqKYb>IrG+Oo!Ov9$GUfl`u|j*ik#Y!INfRv;I1(LsB*y+!;B?=MwboPfj|GDpGvOwv z@kzdP=L^dGcjbEOs$`cO`yDXSrE){_?}8aQ-H>-kxO!y*&8^3rtPJRA8)xJyC-StS ziht+L&wtMR+Fbl(88CYwx!^~Ei74%47ZkXZZFCD*wo3P2$n#@^0+rA3Ow?F(TA8?_ zvU>UWuc#ZTw~82vdf%lN{KOiPmBJ_YL{u=`h%|YTU>_BUb!2K>1k^APU)yj3GgKs| zAw&7WcT3CdLv^G=#KIqfDxujqi4yXoZQo^vC*u)OWV0LR!}?>w+DSNi46#uC&s_PK zAK!}>{%G5>jfzvnjNNF|lKb5*IKdyIU0mJs#nsjC(8M`9>g7khWD?eVzt$wCPzK|# zpTt1h1Jw_Rxcaq=NWhj> zT#wVwsrql+357s{W&>qeR(7XcgI-cspbH=&$2?VG4Dfh;Horo}1S?87WzArfQfwh! zCNp+^PIpoiLUFEXh3=fJRC5spqVlvL3HqP0qv?$yO+MH1~9Y6dQ_gRMJr&T*WVjeyO6RZu8Jf}UMp|JJ`VQh7Pr zv60@0110u&dlPf-$wnFmQ<$)xj1Isvt?)~=>X}c`HG4hT$FUfqL7D50Jf@bGGC^st z(nsT~q*oScFcEtVsmlTgYZrZ&IKGW;oZ0uG@KoS@sCLaR6Pb+2D8~l|s~D;vDbC{Y zrKRixzn>gM4!gAPd*>K{aAaAlMDv>RZTw*Dgk-Z004jU_2ze|H{w*zq4pcG=x!2N1 zjT*=z+Yxhr=ik}A>9(x>Xt*@~hYD`bQtq8)Esv4E{S{Wdexuc`8zwTGP5nE!_?xiY zLK^nuD%qotY6{2z;LaXo)z?#J;Ayw6rk@Mz>V6c~?{7bH%yBQvO=AtkKgO;7N*DF0 z^_df52RkBHQw*UB65=GtEhu0jRSoPPn~kLo`aQTM6;!WXKvVHf^7-X*>YnchL+xVh z<(8PGa<+*q7-&ReGHOzC@*CK7x2Bo3a!O?@6}oCij^Hj#T>i-ZN>>1;>Xt25Eh#2C zNsW+7MHP{&sw5VtR150ky+?pX^3622yquFJXGk~$-Lo|v1VpayIIBWTpF&FepQt#; zqa(uK?NCJF(w6UL$GFi*d3eN66hwG#pPpmpnMqebF2i#|Kzxtg7#TA{rr@ zI&^5LSo)gH%v7@ZxBpQNRirBgE^cCl+E*Able3SQh#(Ds%kp*GCm=Jr^QS+qR)0R| zNFExJN$jvD1pnhjiAHr$EUnskk?zxe#Vok(&sAf!>PgD;40;yQa$)@PXD?oEJ6N>+ zHnT5QH+v4amJzr*DQkV^Zh5{c+Zak@(IlF;k9pJJ>(qQew|~`520mca zZmr>y4?3f)odJ^1z8S^X$<6oyVb=2TpT#3661xksjtKf{?~mubHsK3Z z_q{*w7bjSm`iclicd}=EvUA+nP8;6IUX zuAq0Ju)P1>dcQmdi9{DlR2$`GJxQ-#Yy;7)3O&0-q0Xq4=vb=IM1mf~#&RXQr~DQU z1vpJRqCeKh0Izq~Derm-g0A`_Fm`sVTiGM{K20I0yzYK!Y=Utx!}H_r?-_$XDy*=$ z?59Tc_wOQDEI}hYKs(ZYtJ!BFh48{5LT+Cpd^_i5PXDy-sfNpdU;_Fgi`H+41G$j$ zg>){L2Rjev0W@a%Q8qa_s2xhKLd6V%w{xSa=)gB8j`qvD)89?9e>#369v;wb8{M5U3k%0| z$6a)V#*BpgE{&J_zx-%*yKQkP^wp_!@IxD4RGUMYw5FX&fu6*te`CkfQUa!U?AP3+ zuqoB}?GL3N6gt0|b!5=QAMegu&c;MfCu9lMUea8HBraC9joi)CuE+ zs^IPY;*KW)51FLP&$U|#6}N}=_t3(qqTB|V;E=``|p8KZD5?W6wsj>$T7n?s0*#q4n z=!ZEYsF10?q~+%51v_;ZYeJq=MU%lctjZdx0VYtq*&F|9z8?KA4PmtRV({di_Y>oO zP^{z&ga=DlsWG%A@SXy@(kl2_G^4_Vi7r}EG8F9lo;}N1zD&jsbHF9*hgVy5`@{u5 zUOx<21iqb%5c>Pm6q1=w6HhD#k1lkv{a3=0e~nkG$PtEZfTdnkoKLQi7*sM@Mqp`- zy=DOxZ;x3XWcpmD;+8Z*#-+=v(HYk3+~!gegtq(jIn8geLKIVf z{Fl$}Nfa4UWX)g@Qb!BcdB-1$rQry)pZRoa9a`(i?;%2Py=SxnV9e@$M|Kz#uh+-( zlqF0$S55;1TMj7;!HTwMdonWc9>N(Ap>qBbs(l#zl`NN--EM~C`Xo1UgQ z0?03kOLks%a6hfGMrg)>xCoh%0^&1di#AsKMNSe(S~ss!gVgqkjJD{TV5|w!&suqN zi|ii81|&FkoqD(P&C|z=d=W)!S^s%p`QF;2>mW;V4RvG70e?*FlOeR}9mEl~qtiti$0JCDwq|%*Rrm5jQX1h4M+fe0obxk(?I4$Ff}=fxl@u#C13M z(L~iLz6JHu^3Eld z6A+K$6N5wV7ST&viiKv(;g)hb(bd(h!pioGU*~g)YWKdf!+$(YW*C;~G<8)?&nJKR zvJXZnATUZqMZm`~uMeu7=|TGJn8S5y;FR)b*le{T!#B@2#lhxp`e6FMiEJ~p$(WUY ziLC34$*5v5V+tj%3SG{I!gUU_r#TsQ2pED+3%S85vxZxPN`fs_1+Btt_L=5E!=cHp zhY55@u{r%A69nJr@F2^7XiDTW>*n7s;@Rjn0a-@~lOEaJ+(`zZsU%szm9nUPF07c45wr*@DU3P)n3Osb| zuo8x$+9Q9muvssoDkUvx6AV8LKh<6ueLJhoL7Rc45i2xCJNN7tV4NOQ-Z`0mt7kka zZi_nD{FDFg68Lb>LT2-eo>$dUnz2qc8ro!nkH?RjmwX~7SnrO~`J}ZzTb0?GXhE*+ z>wm#Rz-Ok<;pVpR>7qoe$RLjWxb0&*d?D*I8hz?3Fy>X)J5X8@(kI%&G&X~|tx8eH z%bj)So5=PypJw_y;FmC2PlP-F^-hZ&Fy!JlthjmjYgtUAcYnzwMU-VMjj*FP)>j5Z z?(53=CBh*oB*B?dv$=mESf+b;td`+~Ht)B@gLw-5{7D8E`Ihw%uw*00pdd-4CWk`t zsi=@xWxj63EJqnuUYKV){z&<3ZB1PDjY+7Y~K`HM5s9<4cxB$V2jsWd@Z2adS_C2w#FQ8Vsu_6`Lpl)dU(v z#bX)5F{HpG`lO`X0!6DYPik9ngFpd02cg|#$g8iQ@G7$w~%;DgPD=)mqwD( za_2D^^c-;2!rTPRPU%SB#_M#vD$PUsvx=+BDy3sV$GYPq^TV|aNC|WfepVY7TRT)0 zKAoI)q4ZnpRNGY74H>WRR@biXg&_%X!X$3)1I-Wfk>*sMdzHfQu$70ym7&2nGMBYJ z?7P(`l0p|5-8U88eJ>NmLh;BrSC1bbj`eQ*b?S?SCQr?voZ{4tZ~rR4T`|)Qn=?^t z?ep~^D0IdO>7JN+LmbAAnOl-CGU!*@XH1CTw)d0jV`7M7G)|K~ zpvw1j;JNxLAP7eOa1TI%-lv0Pr*nY#6etueQR0Sq`SAf&Xj;Q{XTRb_D6dJkcaOFw z4GMik}IG zIYIsnhKC(d_59%ef%h<}`rnK}654l$l!%5!4k6YP1MD(o7Qjf?zsQ0@gh)TRYMrZe zk-@;YJ>fPPFjdUP4D1mt^2#`B%*NKUB-MULabC>a$ zNDw^POj2L}yEWpy8uEnkp{co9aMH8K!-SHO^5;D@une3vDD7gBi8^x^<*$Caw9t&i?#QYyIS#&W%qfcO-D%$La5bH&pW4pj!949Yx7L zqy$R%Uk0WHwd|*Ue@_;4N_Gn5W597`_o$#p!N5zaAkQ`Af~U)#ig%9S0jd#q*lKKY zck`HcWyOiZ15Smc7|Rk4{Bc3Fza{VgUng12=28aKaW;0L#qm*5 zk&2S$IMC1&iUVw*F>%^U{l&zf{sUgYc9Z9VPUUjwBjtrNw)wg*2BRX@MCTVXyK6ak za**_(4r5+wqbl2h#lvK@n_;~!j3H=F;El~|78hsdV5{5!(tl;~M;&Ks|CoXQf*^^9 z(?nUNnDL;8v$CV=`bf8DL;9>oEt2htCAd!qUBHN1JfEKi7K>q8F}Ws+dRYV*G&0}U zI$uPt&GPn_j+nInH z?77?@oXiuWr-X8SgL`m{+&46w#lR{(n>aiop^wgVi-dhx6~jPsqqR=@{37RRG{nDX z!yd7H6>>*pHJ-EBVqlxjE|ul>r{h{}SETE>9Ge;Bf7O)+x}LYise_3YVIO`h4MWe(!+j@ zmJ;kUsy3ZxUv}E#DS|-M4m+E%QyvAL878YvhacZs3y5QdMEQ1xI5xMtU3^ZiNHY)m zD^qOR{$8bVKD`mP-{&v?TrvsjoF!2ZoxgOXHcBxPCj?L0MuZNi!;>uWHPVyQ*i++yf9o)<`7}Ui;Sgqe6bZ<+pGVj#S6(b+*a#KE?1uM z(%4NM@invWXGmWF-BtH6Kojgd2@gYr0>@s7TTRgDtA${XThUBuI9~*q!)$=XK{tD5EVu z1Kgdq*?}OEzH#a3XZ$+~@Xf2hruZ=lLxC`t%^TKnk63!R(DoZ;e9WAZqsPw9L&Gp_ z=O%TOcL>lHji#*|k(k&gf0MlPTtBSsjGbDIQJT%XS6o4@`k0z=NKC`PGqYPo?Ncz7 zf!ZD*2%fOzuk8*J>WGwvtZt7&jyv353}@75Z|Ky%phL7c7o}Dh#O}Y%3XRj%clw>T^mZ+|52O%Nh?oxaU=lgn8E*=1sE)` zafQPC@J~v9C4*)!oT>5I1Z!N!MmB+mLDsduRvhtu_xYj?R|}#BZUk!Y>e3lVWid*F zOBX1v)p%sSt6;>}oBz(UCOKYxb^2_}0ahw++qo=cSr)ee?K-9d%c7NkGoNIAQ*mZ0 zOU&JIf9U`t&7a;aA{vqZsc>=Ns@H{T+~+&?u`zM~YS+2^1riWx7R(Lb*jSujk$m0Q zq)+Jv#<^cZK?V!6yw08#4*!fB}S`lbi~vx15(II zAOUSk&9jUExF!8bjpUfwdH|6}L$Z4TnEWrh^z zw*f-%@(gA6D94JjC7<#olE#j*8S5fXm@pMmxy?ZJ4?W7X$X;4l_$9!3ukZj&qy zP$K+`f6%HIFe~{UgrD5I#`_ouA-^5=o*3@=-Gp`6x^!GZJkboi;2w7w;e`YWx+ zW;JYX4&WmHun7HS*>q*dRm_N*>U&m`jyvhb1^IF5=Av;_ z7IaV}@fK6duIqkUr**#gh@A^Ky1j0N;^0f1h}^VU%g=1~cOLQbI~QLiX+&C#nW!LJ z0E`1C=0CC`^+ji0uhy`X`VH#;VNyfnhz?~t4lS!-*(ar{pTJ&O_vY98%n6>`znCRr ztbjdrHFet4Je9Vcbjd<*9UKB;R~v@9-~L)nz?w*AvnMAkI$AWX5nSWZwH3ZGm2THSBC@7&_5@ROuzX-`4Tf47zs~`yO|y zR>A=1ts_NEV~lb!Vd z>n!7+(9FeOqdCMdn~NIh$+jxh;lZdaeTtv&qwO4>`WHVPwkg2M#$0*V6)||Tk}~E3 zH#Q%!jIo)_NNb;i{Vb}IzJ5{3Go)2^>_%j=Xh()D_JFF>POLpuavpofiZ4sDU(}N4 zDve={7ayAAg>tVr_ZHPbEwdV!?&mRbG+o$EibTGN_GUvbxe=O%O|zxVud{P+>9Q!i zAnMoHMZu>P$tzx0c;`y*$!KAVJFST5eQ>ugMEZO?L|+#&y}8pc*0`QuB59?y)>GDD zB)6oR&*C#NJ=4JRZAmfYu~ppNCbBP&d-avDrZHamr$@F7$xl92%=j`-3Ij4fl{ohG z06vkpde*ZkRuJ99{!%1lBrZ1zc&IQfdNQ4FZv~M|DPw%*H=ESC@*UergO3gJnplg} z!Dn~2mGP|dCH11&TSRym-Jgz3#VHq?(mXe|BC3y*JUa+ru7|{jH^d>#v5_x`S5R|J z)^Gp!sf4!w)p{|axfy_E5A$YmVQOq6c2w>PMho<>pJ?u_4tJ1IZI!EVneG=Uv&ZUB zZFRQ1jjO|XBCxZEh6W}0cSb<18G3I4VdU;Cid?akak_Tuh$23sB>a}~=v32qB99MS zzalaPg$C?>lw#MLNzNu@n#5~fK`5`&k?y;Z=QTb+jsB_At^3GO|*I86_;EfQYDTS&04_dMNrPNDyy07y*{}<1Q6l6hCj&5(NX)DFhJYFHL*2%h~ z{~-o<*Js{<^nn&tSdL2E0meLOn|v=jVUdZcrZ)TMJo!(_QWcFEAT8-*&LZN7noExG zy`NoW*xHEXoi7{?m&fiRt+=r|6I9!Noz!hh0)|zGv4T`*AECcnUwfeWf6l4zh}nQj zucCjEeB6=4?S~1}t(NNdL$VM%?jj8e#KG(1YP{Znh}tP2{;qO&G@QcLa@=+6yfK6i zXt%$;0>BK|sn__K^Xa<0*yX&%YSzY7v9kBL-*TAWQ7cmlcNvt3NOFUj(0zeQ;E38# z=Yu^a6_g|V^`DnP%cnwWrZun@RI28m&uPo2$u=lMlBa6N6cxyRi9zk z=4P*8!>ZJ4FW;O@Lo$@XRhMFB-SeF~$Vf@ci~cLx5yPP0zfy*&qKwVudp@;KrO~Y= z2rl;kvR*MGX4W7Rj0@qv<_1l<=2dsw^X-loX-KDA0DRc{dvtYdFUDCCcgj# znm|h4$MUL9+|HoTH|JWJL@?{(L9L|zGl=4`@?(ALIgVYXoM!kFYH!+Ovkz)E98%L) zlZk=h;{iu*-rMO`|C*C?bNdfsyV^+HSX_A!5JGw%HqM;@-*N}gjmx{AwAtd?UvVV} zgc4ouZ#V$FHO6h`P++ZXuqvI-614bCEru2djU>A7)Ogglv#nUr=kWFFu*x1@k8o7q zcSWg{B=`o@3&lF{K(W46E-TIE6&5~&CnBA`K=Iau)VAg65gh-u544>{xcXqfXwE*p zH(l>r_#?B^M&~O|1|;_y4PE4HD^fZy>Op|H{{LbeSKk#SLK6cHEK2A0y|31yTu@71 zPUqR}B0q}oE!bJ4ta?!54U5@RS-gj=b%*F}OX6R?3fmWcwj`)=DBwkM6c; zZ|%GE;0^GEt;d9Ys#VxGyn`$}b_YNsMAf)E&~Ii;pw~B}pX4pC>rRNQ&S6H`t zRz5y!&lZDhUF{GPchgR!CA$x#kx91tQvv%uzTU>5klCZvduX0iu~|gK+f*+`K=rvaB>8K}FOi*fhYbf_cPR&v!RI<{9T^94 z0rv=Q)#qm4Q}5DeGxG`__T7{QVCG~=Yuc~+ww3W%G`FOhptxYMok6c$$;|vW##QQ~`l*NPLoxIUXIg#qX@05k z0Anv5Qtv0h|VF zzKj=XBV0tR4*L9Izh3`*JAbAn?Yy@@xV$&eW%*-n27MM` z4#7IP2LW|8yyzuKu;kZVm#shk^DsU#;B_2zY+fvbzZp-k4g0ioufwnd=6v5VAekRs z0E&<3Usks%^ozE!)6k9MfU#_zdjYAU-8G+Q8Kb&3_m|QT75u+6iN9?GGSf-GY^}Dc5 z`q|!vZ`ocM2_ccxz!dXaH(1t5z5j{3WEs1Ovf)*cc+6gxbUB?<1>bC5(wrCRhALJ4 zGqkzXM&_r$)`>T%r_zp-@;Zxpvl2UN1FTUaNJQ7&1)*qk2C+F@OpZo+2$)ZjJ<^`= zrgxt+y1;e{f7_GP<(iYzqRX+%4GxCO+RY0vQDr*}`Xp!Y?-XGJl@6&-KY1z?j*5@aiNV_+L5{m`)WszPgs z2^*6boU!_Q+b4Vw86Z#9xbX&zX;kmIdzD9f(xV^zvA&VStgMO)U?Xk&q7q1D!a|5- zMnBr++o|AjUUdF0nI`+JnWc^;l{%Cm0$*Uap7Xw`-Z;gVfks*juxR)i#PYv*9+Ah~ zhkUgW(lVm!R>HIni(w0AIiJRofUa+EG?H89Bz^vo=15zmV0NTVhNp?(KY!$=M9% zb?e5AvT<}@)9K$KufhQ&CmKp5Z)?7+5I@dX8WYZN^lA4f4FD(C11Q@l?3WR|L{ClW z!~ez*tYJ zZ?ycUn`_f&m8RCqtl1X^@UrZ`9*>D~gn#E3z$20(vEp0Xw4yV3B0d1q9z^V23^}8( z8ROD42BXO@3d4<5&exk0OadtpCjne%jmJaq0z!%?}y+U(o>*QNM)FD`NZ@UOWMQ4LfI;u*BKD#|d+LBfGe zPr22!0>C0-c}!0Tq-?^+-!ud*H9h%DmMn|+;39z&DZ(pQog*U|$H zL3Fs1as_nnL3RpnwrKT~vLe)w9;I}lRA=8? zI4mZWtRO~|M10z#(vj_SEaoB1iQnQGJ+xA@N$PfGiAY!dJKd!h4VCU8#0oSgu?5E= zc8LJc)eQQ2Z2VI0jNPl=lvoiJ7GhXsN}<^ewx!mRmrZ#w`zPJPDC+YJz#F~reObR6 zNTs;zb9Az7h%jtp1ENe9cZf5ko3n&#Kr(lxOdK`cdeLp2%dl(lV-;Lbrb;)=(xBM8 zN6|cl4t$|j)ur{VNJ3FQZi}L|3e^t^U@upw0bzea`Ktf!pnu{M_WjciWzpu zYZ(ch*Y4Vx8(jQCuobK1L@>7oxl?$6SFGM-CAubAGJNv5#%?@GycwzTtz0PnE-XtN z5mTXNARNbfq*$Qnq~GLZ!}hX1=W``{$;R0S2;h%V6jdr*LUHq`-oGMB)_~U78#nz> zP!eu90VX{eqar%TCcaX}g^1Fjhi`;F@++5rLL@dz3Y$FW8QnQQm-@+$^}3F3zTs%7 z<%|H4tW0$ND)~G2kRN=WotU$!GH7M~k}wwEI{m8)aY6*4kX0Ex;H~>*abV;eiGR5H z4X?Q+QFoz9uMFs_EB6LT2K*Z{d@w!%(b0yZ!7_G6_S)|NaejaN+bA#9S~@*Z29pTGYs~IqBmT)%%CqpeVe|&i0}{x7SCl~$w*0o z7#?POr%*}BgvNsUKH&X2?}Oj5cb^-D)gE5VaIoHN z7pP?UEA+u$=iIy6Z^kP5SdGT!jb1Ha7s>a1Sp85-<}mubt&m+*=KH1>>AHSg%c1!9 z!a>MvoQ3fDszQC?u9+Kp!4=PmcuIV#M!Yq3xrESMdRlMa{Au6UU&wC43(#GoZ z$S7FQS!T>J!(*^ZQa`Y!!&G0*$xEgU_i5J%y82P8!?SClT9IhKu3vaz*6=Dg{MH(; z34|j!?6%@L*k5dzzXql3d{dolSN?>?3bL(z4hek;x1@*2tuK7ZnvV-~ON7hcGZl;E zB*mpXcoAa#*<8;@RFST{G0P|IVPDrt{t|;2SaY5IW@DjOg~^C8t;viy$O-t*29*er zKogF4nnLjVnA8bz3KQqbeE%TkyCxV_wrIP?wd^MBNQa?Ks50}K_|3s5BKb%&aKz-* zS7oaGD`URaQ`W00ZQKSOzos4jH^id=pDI;Iyv)vwHVTj0*$_hPqR1b}UT6WmFY(-E zicq~~R2F}DV@4Mhq=!A&(9<&^0<)vb30yvJlnfXXa8P$~Jum}d^%lV>-gVSJCrsKo zgFS$)?N%#qksth%Bsis{e0a8EHVlt4;uEb>_6vf39U+Aj{&qplzB7#-dlShlhX(oo zc^UFDD%7a;8(M!U{>D+NIB-~i5Qi_iR1CcX%Tyl-W@gYhY^p~j#a3VeW+c0x{2-h$ zzU-ihciL1$o1EkvI1^td=Q`e4lU;5ZI1V0%NL%=?zdl_d$euG*xmAZ&0t9bv;5jFgC`cnuyU0krLpGeT5&4 z*!#b;$Vr5MUbK21QUv}@vSVU|@teUPx}Ul3jsM-OvFh~O+u!`Pk{HOu^dNro_#^vr zJIh!DIcfc?N5A7|Nws7igM{C#u*ua}a+JqkBKEFVBPR8Rqgcqe@v|Qr-0_pg=iLZ0 ztqVWlTC}kjD_7xJ{u?~~k{;@1wcl&IbMGn*HVlqL)e_zQwkytAo>PpJhq!TX1TY~) z9>h0tc>^6wax*9W6hd81PK9nCGQ6nLu5*$sXmYL89>we^ndA*SfmF+ATjCty_{*ul z)R9QD)q4at(;hFVUFpp5bPg7M*XAJc80 z;q~;z^LnPG^)KJ`#ci@huNQn!J3r>)yVXlv_JeBNY7%)5dAB>QCNIYSiWI-mv{Nol zpc`?O2ZhoCFRjqNKHPs-rIfFN|L3j$?~9ML#RF+w=M2Uz&glP`FGfzCDX34L&&Gsv zeD_%V*PrM1I6Z7Ttsg%e9si}C8gt#B?2QCuV?AXJ3KY1|SF9D|tT&QZTSTn-l+JE9tr{Ez)s!XOx2o##Xn zXX)ds>W}B@XFy+08fyaZyB}}6CGGRwwuVXkAI@?S|0Lx>bSF#4fr3cFkC?c5eSJxH2ssE|`-JkJ$%Kw=uV3d3a>`Gc5A8t<*AFmS8g7@cY z0Dd1O71fql`O?P82?Strp#|UH2RM&KIdDb0Uq`&V!oCCWUp%x`nuj$S=f`^#Qmnw9 zmTVp@an(z(KBM<;FanPZEjTofceNFn)BhgUqt|_-BX)aG4+CSqyIq(A@X){13u<-B z0m#^aClV*<|DzQJu=OQ>QWv{rOXS}CDmn4%M)_S0FiCL#1Qqr?*#8^8hgE_HGysA= zYCj%|k~q)rh)Tx&g%|&Cu}2R}bHe^-*|R>urTxDb|3`y>czp8x=Utc6K%YBsrZCzY Mc{RCenfIap4+uV7i2wiq diff --git a/notebooks/figures/05.08-decision-tree-levels.png b/notebooks/figures/05.08-decision-tree-levels.png index 62157827e6e79594b12cb772a112e9b9b005109a..3be4bcc1fa3d4178eafb03a223a6b83de30a90c1 100644 GIT binary patch literal 103121 zcmb??bzD?Y)GaDXBPG%zAdPemA>ADU5&}vM15!hS(%piz=NNk0<(vVDK8_lboI-3JMm%zuyO=^WHb$O+hDVT_;UDb0-%QhmR;Q6Q@r$ zc1|`{rqu9{4vtoKw$xm&IbUGXeG+14|DO|H+c{XU^I~20prBBr$V-W9xu))> zx&1KIcDomY?rmYaD50aalZXdWQ)hn;ee{^YSDzuj*17muO|5>3bWw?Zr#0-lC_ezx zI_=q4ap^Y?9)C#x$ffj!gRcIB^lvrtAgcMG{v7*!eJ*8*KJolS*e!Oq>U`!vwD)eI zX5kFCPalepDvtNxKg4YAnK=LR61-pgdKrb_zmKDe>#hbrlKWq0n8eWHQva_J{G}rW zKL4-t@rVWgKMdd=c%0~SndrG|_F|UV%;z{RV|BpJ`$UKI9iBfW)(9E6&c|82zSK5Y zQc!eTj_X^j=6**NK6uq{=6}veM;FHGlm+tH7K`(k+w%&5R zzfyomU*61)S|8U`HMFb(EBfK|^z`to%qQ(^XOdf3xL;QE7+*zjjVP8*&vFbL_s4$v z^kjO-J3+fhhpn2aoll11%@Ce#^O+8q;FG(DhuaGIqFl3)-PO%<82ftpFI=#S|c65*EdV-hQKNqwjb+B75?;t~KqI zV!|IcDxd2*pWk5dy1OFC>o&bm#lMkBxnn#^}|*Kz&&vD@Kj45(4x1`fsb?d z%8Fg7FWldqSB{U}JXijxW*3oe7F8UII^gV=Uv2XU!qW_-6U} zZtbkCl9Cb!Cuf^&0nd$kQWj40y7n(U7Oxjb_aLj$k|ZP~n-@DG2W~^iYg1J5 zsVrf_>hxuv8XBVM(%-=BE-awduTn6!i;T>$;u2HYw<(T%fa^GF@)S!sjwQi zG#zbd6i782B?`kq%3w7w(QEYnKEeBSvjmCucRaZQ9-l<1Y^ z$`Ck=W|8hjPfJT1VLV}7V--^c-tX@T$QF$J=4b;lw`CnF$)U1cHl>T85yTtgN$Zi25 z!N6m$#`DncMJn%vlCDAUqfOGE72Q-}I}JCJKDW>1V?VV$e*Wnf4nL2m&jw_%7X-3) zY3rSPag7%9v)A>j1YOnT7%_P#;_;&lPMbqn0n(Z?or2eu%o>7@ucv2lD$aGX;>d>yPE`iI{I6?62FXuKy z`42p>e9PB#!}U+D7w^;m#g~-2REf??an<1RzqIqsEb@OoJScYWxnI9Q1vUlWzu!pV zV>!{I5Y@w^Ay4xKI68!Q8O8m{pKH{mWcY~s`T2R?UoURdlzG8cPH3ZqV;u(t zgU(ydo3U|mD-T+(9qukS_#^DEwh)e^@(dLYYYIB02EE;)e>qWb1^%G?d&>Xb`1$iE z{V%dQx_{x&X&M79Yff-!-Z3N!lP+z!+J?b>#PO0rOrFGL-1w8*HN~6^LdvWxU{|=` zsnKT>I`er=NF2IIEy|s?G<1q}+lGAZ9Kqto%2a;_$J4>_M~@ywY-X(ePF%Sb_44vM zJwLaLyT-zbsvI+$LCt*RanQ`ak?!%DA>DOZB83LMokpfw1|;+^mJwipha+Sr9#S;_ zj~XV2`HdRg_rHGHX=MLjANcXk@sNS}Eo@-vvG~;Bbd6^_UwssqP`C=e1RvGp9ko74 zjJ5Bf))7)D82>%6FEy(}#{;_mnaQ`j2Oll^zvcz!wbNJ>AyEj{1Nms_b?ge=N%di`+_C2avn?%Yh zFxW5U7kNa6k+o+2`}pHcE8@LeZ}Eg)+I7Kw`6O9OZm>dyLW$T7C7JFh$$w`MF@P(1 zhs|Kv9lLFzF2#s#dqv%O;e!2DEJQmXfKL?^KHtQlp3upq$SzhWKn_o>VcEP*mv%)6=5IwMuyY zol>f<4?^(*9=su3nX<{~HudrPGO4KY9t1 z2g6dXTavC@w^%kw)HWHxk1QeJO2Ei*j087M0}u7+(A!NrxTARJ<>MG>glYdhhJ;_7 zJ2R115>2NukIO-1NQWqo!1MRYX*zkK&wo;jPu=084Z|gNcSCXol}48FARe!yrNN@g z5Hx3X-adK~B^8DQDP>LWtg_ZD@NJ|KN z=5p)9>_paTD{!ea1QzUp3NLag48zUR>EM46;8;-~7AzS|6Wk*byfli&6d=}JA?ZKZ zrsbFT<(PPe2P`$d^Sv9%yev}#5v;qQF-Y_59yPv05M6=++zDmOwjl{i3oLU0pr@EP zfktk9&vS_sP+@2o;OU)~TV7bOKrnnN7`{iu5}f8w`S4%K|1`?LNXKttkKRlxe>R8( z1C=%mkKfCmx&@~QbG$j5)BRJXG6AYdg$bL{mF&&x>+t>DeJa0+W-QoOa4HV;Xw2g< z)`Qa>!}-ASUw~`-mQRBR9itgsn#X=a75y+YebZD1%Z~Px4$T zd^Q#-Q%ls8$oouXLR1s{5pwSo2~WyU^e|b~3+_P07c};N_5TBevFb|t?6F*Ii7-mA zii#|$k}}_C+vH$Dgkve{gVk#lj4wopI5GWbr18hz-anag%^U#Z#e5&Y6B%JwlVW5I zMOBvax!rmH&La|R@BXL!Uh!a}Wc0_DraaD9+lvPOF^km2){Db2k756Mq!eS}>3D11 za2`gxIViyp^cigR$k$z}RMaEC3s4c!Hd)e5DWble(j)u3_5*QrgH-Q+8;Ik<)hJGg z)(&Z!PVr4GRGHhDa@;SACoi@h={haEwZVjSkHCw~!gR#((x-oH>Gv&3|5(SMaWQ7T zE8=k9`gh_jqtdnRx_Y@xXbYzAaA0C-CWTSB86RFlQT|2Q+=rR`j1PkuTa2vU?)OL@ zZM<5HWt5o*YUZiAUsW^nvp58{;!r2VIJB+~i(d}O;Cz>x?WS$ZZxNhbqJN5)b8ZeZ zXwIg4s)I*NI#X;Rzc$7wK}5{p7D`?3mwDW6f#aq!@e@0PF`RjD0Nw1cU*uxTFUMUT z$)*3;ksN^TJuXthj9H0M{E13lHUDGPn6X-pT+xU0FGDP%Tdl&eewn^8HMh&W8knOZo#?Tc8Az@D4 zaxy~h6jS0{O>JMk*T4@hnopY*P+Yz1J1WT%3n1NmQasrYG z3s!Ibu77?Hs==rwH|mdXdc^WD-8iVS74or)U_*6G*W=Yz+4wAD4x@`O(z39$TMl=O zKH>RKLhn2a7fviDYIS@!iLcrn5z=f8r};0qwS>5#ns#PPf0;oIgO0$_!^G-b2JFrtPf0=v1ujQ)=V1?7uUxhE;!={Fr{8T%A+|KzP1{~I%N-qX> z(I?63-Nt8*imhXDr&vXTEdLxj45!uky8d@?8WqNJd1Yq4VP|(?Mx?%S5K8osg=l%F z;F6)=)o|X2N@OHJHQr<5QI``*+3ir`v1MxQbShE!NC@}gN zY_KwzrEb`tr4IV!jzmbB$BHN2dPPnrTO(@;KWA+>M}w3{Dc#QvogMu_^e5RlrP?m% zLe#zeg?g|Z3J>pr0KM;|)3qz8a*t~6-|+9%=Dvw&+kQSWUP)^mU9mhHl4jv7QcI0K zzw(WNG(RoEj1MJ2_h3NosLW!X4Gn$y-DZ&w3%hB4{sn{Pnd;VNx${^JZ0i}OUt($6 zyg)7~^PNcZ(m6)#YQ_d z!JM*nM7P>j_9?P8EMvh>Tbg;Hcl;(1e(UM&@Z4*p?j22z83m*xwh!@%u(xVmplq=@DMNyXiXI%7}8f5$&JqrQzu~+HEXl-zvHA-b?G02b@Skt zx_Ro%7Bh2e4OVw4-Uq9DY29e%Uw4CP0xpEymos=Nq%338Qv{CkcVqHoS*(vso~I@Gew(CK}Glgs)?eR z^7^Nm?1&J53o6s^aK2w_KHrYG_`SmKuI~BZtweh9QR<2X*WGn#FCf>;NwUccZejGJ z9=^&JIC`}Wi51I`^~=v{p{1V_sw3r7sx}5c^$R6vwf?+HA5v@xq_(lLnX0aT1TxU* zTd|ChW#b{&q{KNzyNl+oCK>!O!nwjTv1WJR2bcU?&SQ&Z9&ru?}?UEHY`9N$i1BF zBQ@av>_kv*j4OTR%*9EUE{4i?yPa6Mx)E8BPu%6@wzl!fMTatY=GjjJSN3&-cD%GcIz)&11PM^2f% zq1GFURujoYL&ef5I44!oc(qY?EZqV%pA*UIyWWdj9e*vY2N#-p+ z9VilLCmwl>8hs5AzOr}lS2cVlN8nq_TgxD)>4F*y_E646hG|--jJq9 zH)uC~Zkq7yF|Z$HI2;p;-F_uC_+_+H5>MZf&2{Ex+D2bE6i?F+%;*4*QEi}k+ajFMVsCAX}%Dh z9Ba}@!^Pu}KIU1Mu$t4r#Y__8I9W2waI*LLH~7WdTiz6al#m+qhIO;*otJ107}yo> zQ%XnAjaI)iKg@5G9dM19Xa+SB;HvjjwpXlU$;QrmC>rL%stifvJ;A0o&~Roo93y$o zn`a^;Lu7wzpb?S^?6}!HvSOqX8{bQ9dY!*B=l)BHBq%X=*(uRu0gKsD z{;@7a^dC?itIm_KyATPdqISptK_u+EinP+_CRK)=v_3}}Bj&Wy{-Sj-^A#sra1yQP zK4DUzZ$ElM&AkX<;*<|T_g1Ul7`8Bc0#igKvRn`Z#S3sMwcLMD8#II8LO0dJ;}`g$ zCE*>@DWN_Z#P!^yvH6J{My@M)cJd``UaXLX=1Bp$ed;i(WC=pe@UoA>0%;4I3~bL% zV4^XQ&|!#gk6u7+HnxsfMv%rkBBqr)s0HlVd}!i=?8_Fu#m7AdA16UlcSS}@`j+GU z*vgLog=Ie=WNPv1>-)3RyH-2mKC_$)swdVK{J45+oEpMr$h5T{H(cifH=>mtGX1#C zXIetzWYEUk68KzAUnnnJ_GSG8{ZnQ|@y67`dk6QduoU9(IDO3%qc@vW3cD1a%`!~O zuk0ew<)!;951%_SCy>zbFEP0A&j03)(v0*Lgm%9a*F|qyjRGx)eg6}ha}?&g?RsaD zdF`s@V0;Dcy13_IU z{(A0HweYg7?M6U#gk;P~3*HFML=rRvsbLt^3~amRxm$Gk@eh-Gi>X5Da@?8B+A;>* z4JX6|!^o6g(Et9y;lID+zwgNJHZ%y$B@&S=)M2P}51`c8$ySs<#l-AoW7Cfl9AUVb zklJsf8%)3WhvHiLwQQnIb1u>a1#LmA;f6C)fPO?>|CL(McQ{4x`y0IXXf7yLRbO6x z9g41zs}tCIaw_d+0#6zN+bOFg2co<~}7r zkV(YNanetv2dlP9e6T)3$D7T9Qzgw`yV^l1$0nHR?&UR_$tyhG|Fx(|#aXKY zy`NgG$|@Dl28Q*^mWnMw>al7G&uoFu{(G40^-*mzKD-M!3=80*2D^?CwR%N=h9R+M zU;-Qf97R!np!QOZHxZhrBNzuPx616tx<3t=(Yf;zSPYf!zjcXfi+F84J#rp$W^{@i zlr+ir=*C}59u6rsGC{NtYFAVCjBR{iMM7meVl0(H81mK8lmjZ1CPNE2+ARpxE9a$iJvPd}OLGi^R%&3iBHzu%^ZU_0UXjy~F0P-OP+ zVxpFogFX%X`mxSr+WdAB+A=KSYwGDd*3_{aSD1S`G1$qR*l_Nvr>R=AXF#q!iy1ln zxf7;1Q0FSO{{=@meD2Zo@X6zwRokC0ot`E;4@`yhkBkeqj{2ka4gkT0uNQX@g;_R{ zcP-i+v`pEGd`08~23sNCGMtx&l2X5qK3eLqiFhk%OczRF?55Wk(2)B_`8Op`FNA6S_kL?_n>^_eHwf4-9U6zo{}RFT@<+j!HaL-WGB z5Wx8X6yQ};mW`M3>y(Sg$caCiXBPNg;<_k#nDHtx&M;S-l5OuiNai&deG1#XRX^fxwF^PA8S>ZZlsZe+GlDm zxOveF)5By%p`iSt<&v;81$>#Aq;^>)e<*Q2%$A*^tbbyPd4!{kwW9=8S-81IZzt~H z-IGV(62!&*=gYHXSGR{B(` zHD|r~N6cM8zrfn&1_-+x>*${8L~1W;mlNx7st+`-yo`xQf0O}0va%sFFUVt`@tm*L z3y6|0DY)|SecRaj3bO~X4TEf?Q9JpKan6Xf^QsPHr~SSGY0AF;s@6?e)rph$zJtx^ zcUK{SWNws&3Uy4Y7pGb!K1REZf~ zsVOpM#N}$jXsanxG6}zRaqiSLJz_*uWZU83?h(oWmidLPz~?8{_h}x*RTy8PREXtf zlI%n?t&m}noR|$N$TgSN9ct&M0tG~BlS;-bFP@8h1#$jhy0u%W{#e`-3v~O#aFXmN zBu^LQHYt1Mj&4sUh5!$$E6jY?JKpph_Qeh`w-hmrFI0r51!>HR=RUy6+Reex- z#c33Hj_S1%pkAHqH&WKjB>tBd0LQVUxAmNKbOBJ^n<1~?%-UnMp>KMs4wu*{` zQcR0n0fiVkeZFA7Z^k6k+7~vW1Im6ErVprA@e>-@KEYX$>aV(P`3V|lZH<`G=K-vr z;j5^$yl<{c!im&VMU?vKSw%6je`^X*51sPjUXpo;qk9W4fKp7-iP^!y zXA9xa?tB|Oc=}%CGW5}mM{HXZ9};U=)UjQB#0dLJIrBj4%s9Djx@a}i!-#6$fg;i^ zS&MD97@5+ia~LP~{_A43Wm2TN-v?te54IFGwk+E#lHAR=0&v<)M@FEIP(Wsm48kO{ z64xe0LKE*QUMVon4v;goWJoxOcsrmuALyF$haCevoq~M^9}6NWzC+VI^CzOsZMFKH zb~eg;I&ts9JTw(K{8lUqe?oP4e+bZzS@~udIS$R`h8jo4(l1+{p{vu82p4a^a?0@I zBj8PiX zrkrgb)IMiSG>S2x)jaD00r*0P5;qgtS8VowO*{#iXvLi#-7a0~a^dh5_J7(snB{39 zF$U?yL=q}|BH%aSV*&W4@!ORGkM1mVX{i5R!qFcmKBg$u@&xMUG*c(u_a`!hL!I&&-^8J@fk@))#n^#cr909$ zN-tZ|lkX)$kF=AJ7wpzNPeSHz!H)%R0g0iw-9@(5<8l|%AE%kMJfjXy__>>vR{AG+ ziiH^#l0$mqzH#}N4D0%uQ^mYxhyCrBt3WXBE#bY8y6HiZ2}xc88La|U_aTkTvruM{ zquluABF2tMJVCVg&Wou*xXUSe8X{rT^>GpoSZkYrcoy6fMXdSxq^+e8 ze-W&L@avzN??m1X3;>msq+ve87k9u)cS9X2&LuHcEp!K*10O6JM^EDxTgav5W2=Pk zs*&|VSc+428Qdr(La$Lu&sNUciHwiZe+Tl(q>0MUP~LF{um|# z6>NwG2+tKxS?Wb5R{scA7$3V>{R~$3W*)RwK2#{37Ya8C4f!aMl&|FWJNTmjW6Id| zmJl+uZ!I}2pYi_t-Gr4;To&wEw~b{H7LOXFv7mPP!`lii_JL4^FeIyfZ60#>aF#&l zYr&JU_tmFHH>cjhRebkLluJ`**vLCd8xM=%X|-AfpIaaG4$E!JZAN;Me4mn)%S<0^ zfCSV|RKBlMbz2@`1A?Bn%VD&;4ZaT_V*}-NL~0Dvs9Rv&>gMzgw?@9QI-=JQAyu~d zts#>m!tur85I^4t%PnipqB%tXSDMSaVg-#fkd`bSG9 z%tB4cwxdFI?LajgN;L!@wees)v9YX*SvW+iNBSo%OsRvX=`7qzoZ2I|b&&7I{(W5} z1CXwK#8Q1KtNLSB8!d{(x%@X&V^~H|AexCcReNz2e(sqr<2>pKrGU4z4tDpS(r5AC zJec}x8d3uEv1)oh#>#jBSWxo8h2;y`TjnSZ%C{(z44dYuefgolt&;1Gxf^Q z%2vc!HN7<92>G4yTfWD=uxhxOP7YD*?93iwVM%w?zJ(TjzETqLSs9_#iasekTCJq^ zxf0*#s#`g5Ss75aoy*lk)cp?H7MNj5sUoB06ZTTL_iKAM&rad)GR%V z$S@sIfD^kZ0yYbWJ7U+UR^ep}=|_g(Ic-2O{8;a;^{|%ED4KOxW3wf;Oq`q`!Yc9MdVI3&J-r2|hF+!`%Wch?0s?ClLA@Mpp0h+!vlywGs=^I0% ztt=*wkPUCt$HURVpQl>*-sBP`krVp9-q?r++X#nyg$`2ZRXE((WOljPciXbH75#e zxHjNQv&@M5;6Bw72g8s%)pFtN#;!@@zSJtY%7#6Ye)fAe?T0xsx!0Uj6Ey5ea21b0 zR)X7My@QwNvy^-$-;W>9DC*IH`y#EfOQ~2lV(`7lqqo5NOrQB}PA&k~Q1dIj(^F{S zJ;Em7Zssj$I`y=onK|`6`72IX0Sv%AvKy&Y$x4V303;b|WsQFHT(Zjp;fJuG8Kl#j zZnJ6oM5(fGmGgr+yn81Ulfs;1lcS!w$3n=c8p?#ViiM{`!fza(Yl@iRaEosSN-v=} zj52J7_$-+8MUMz3dYSLCW=_BZX}U{@mZ2cA@zJ27fIU%QKj+RPOZ|dP6N}7`~>w3_J;HzAE0>Ya_VWV z`81kY3KlRvrrU(4)V!de(;mn~^4_CjZVmj{ni1|8>t$JQwTwH*_us={ug{>aH+fQ` zelnh{k}b$hVTT~Pr7;esi?}`yTKo_m-Ew%X1fQyWga3HsoCNDGRg2y1d&0z_28nwX z7U{WaXFe6hZ0byO#H>w}w25|-6rcqRWwKmkQgEC$ZhDC`;v(~>gVS!ynSahOl~f6I zxF6Ia`zHQ;McpzKFgKHg(rirY;d_WreE}AlBV`Z&13JxI#Jhjz2JnzJq<;DkbF4vFB|Ebul0%i0A=fP|e`>n=zfRq+SsG(gPX;1qi>o`Wx~D1S#1yBj1qOws z+e+demv`H&*j7XG%cL+OiyI$oiWQh3q;7%>;mQaCsD~RHafqG zu;9rTpWZ(ZpEseh&2PbSGo9nFe{gi z-+QF$M>V}k`LUkowdJ+!n=BWL{F@L#oPq%kMV1#(H-0brn?!XSl`ZS=k1H0{6Tdlr zFgkU2YW;P4pa#?baFldtBrbS&SuGeGhkzv|I2xMPKuW!6Txx%iOhncGQjY1=)F79ypZ_msyD7}q%5Ef2%d6#q0$JPH68bSA1?waFXH!z%xqqpP*EG~+j4{C69S@pAR z(sCzMHwGhB93LkxjV_vLyQ!?`Yxj>bjC!27`AJTAJox&D*RYjVuW?Byh5o$VB6)K2 z#t;URSklB%p?7#HJnl!jhyj$oyU=8Fz}Z3rN+IJ{XLkDjucHxr zCP7m|@_AP2qIfo1fjj#v?MD||^OhP~>-+R_`v3`~Zg=GI6jZTm-jzfoOkNyORJ&9~*K((& zu3KK0jawRkrbUiYo69uXND1CaqowfZ`C4w+1ojK=It`Nz011?CaKVyWrSOUTS*gI^ zEnG)BzdR&YS%E1NHz`}1RYW)N*L;6iP5E1h0S$qFCF^`fDX!C9ynT!DBqHO^J{dXA z2*}{`$kc80JPN?bfD6AKH%?It_m;G~kn~;U3*WYjCrf&2+dwSVOwQq$v4eSH3bh`< zO?$YGa8XX_=P~<~U(cSdxtFn(<1Q$<=F^8o(>RayJ%Tjfi*ypVW@4Qam1JUUWGp?i z*IK`NqkwE8s7+SAn^QGgsb=7}h#P$8JQF2oNd}hQ6vNegG(^Ib-q!U;b6#W?8?|?@ zdi@wm19bZF+l?WQIa60skr7pdzR={0HkbQ<4jac8ELXhEOHavpHHw+Jw61#0>kf$1 zNr_??EdquhyTYUf^i6M71tA-9%e$RGJW+$wD0XjFHbzzQJ}ESo(1ebW9agw93Oy4@ zrOdvnl#ef2{>Gp_4zVuogoQm(n=*i=TJe!ywI2X)n@3?A%ZAO66TRkqUUmp5P3v3a zC)o@)oSm+P*`)@{9x6dHSR#l z)MT+x@<;OElf-$s0aU@zE*)Bx{%V4Km5&EHpro?CrQZ%DLZSTQKKm; zn@lDCZQ#BB1}~XkCUW?P5|jpHaWlzF&3{t!0;4ihORXO=hbU`tz_`2kk19PK>bb=n;z>P^bRLl{GAHvz?j8>IHCJz++@NuP^Nc`T{5~m z)|F7`yEQ}{uT1nqy}!DwCo2pk$LDCVnaugnreWfk$F6BO8-GsvI}~fUqaIvpW_4zK zICfnbdS%lu=6G!Unm8lbgNXaK%KR)i`FzcVw$45cLSh6{sG)#)!VN`9+32 zhAX`|JPS$*+h1F1cpiM!({Jo9Xo=)C5xFg-LTnfkEaDEbvpFc0=T+;?!TN^`DK3w4 zxzO4u^daZ|&sPnfDyJZ&+@E&&O^)eDi$G-m$@m-fZn)RgE2nC>>>uR!PA=A8^5DN# zjbpnpU?r18Mv6M<4E)$wr1BzC$7SEXnyxfal7v>aUreq!cg!5j)YGcEFhazc?wnJQ z|ES}ao<^N z=TvnbPaf8j?i71GrVg!i_la3RNJDu-W&oBK#75o|4hbhXlUJ+8^2Q!Ih#XfCg`6#L zTSk~%t!om0q|^-co;a)e_(XY(j9cbq%M;jSU0Q-OQL4`dWw)^M%X-iv0&trIMd*q( z$4PjK45TGcrBsZ?Qda}5%h`$N9S>n!N^tWd{(~n97PvWr@qbA2)8Y`u(|jcb_1zk0 zDuA9dkZ5KudxrEB9=)#2xe~nEx%Y!+^wpRfu9LJ6)zJSeq#~G@t}i_f{$9{((H(j; zVJP;_e0ZD$m}J9C(=#34ho*NwS)faID_^=vs^%X{e!($mTNAL_AWX*9S3}>f_|MWL zXm{-&U=akLCj}}>(Jga7+hKAwtD$nQdW$9DZd%8 zq5~}-!*Y9&+4t0&eync>5+ew-zDBY}!kI{?>dEClc~NoOYkSWJ-XN_CoEh3a?B!Z) zf~Ppv3lE!-3^Thec9RaV!N9cl;OSqzw;w8gRl7q9j74jQ1O_Lrzh08>+yV#VnDKo^ zm$TkpIKiK#6ttOY8I#~sBmezOUG4AtQ~|Zme79lMEr_&-P0#)$BO2Xb!}x}QSJ~VB z#UFJSTza{KKH04tUMgpoyD-y9;ebxq7%VIZnogH)hRB8As-7^)i%;1Ru7yUFSrwY>!g_ml@@*VLQK#sa z3B^3;+B|{Kb)3LZdp_0n!pM&;p_>^!m<1e3Hs;Jg#o(3Na>akxFR6DUis!%~Ff4&J}4Pp|kxN!PX?zx*3`FY+`to&uwM4*QMDiVzl^HEFtAJkmBa zZanQ5$Do5ov;VNjL$P|aGH-a0pcSe2=N+% zTzKIObEij<-8CiO(YNv#@8|+9&MC99XfS)vfF`>E%Pue99mf3*76K?>yVX4j#VAJw zSmtrswi}if4tDkqA}axP92!@RH@;1;qmDPr($f&{Rw3#iuJ_ZuEW3tfl>@8~kMqpH zeSytBQ)*SxXQwVTr~t@GV5ty*e;XDF4)w8i^hVTRBU^$~4p4kEqZbzFgX2aN{zPx* zDxsF8pEV}qWIx%Qdr9}oUZ>ia14|E)tD>%M+wFla!NPmr3G9E#6mN(#6w2M(Y%2Sb zKu)O6XVF`{wx&7%bK^_I@m=@{O9o6|_(P*4XF`(D&IiJvEv(^q(e1${qS2Ih^slFb z2lQ9)>aPhq_<`HyOD!QVUgx7CcqX|jFaS|5Ia_ga6)fTY8z3|w)aGBEWcY(-Dw4@I z^xFsANb~n$PWlAt(^@x)z?3&U7dxFz)?|~ZOkdTHmeA{gw+s!#bKYKuw1!e3^%(Ri47fDt) z49!DV{8+?V;N4Qep*7Bw!@uT}?)~&w3txJbLTX;boN#fXpKj2WGCQ{|wy=I;yu5In z5Ale@F_`8VxG>+hOA~|U?hjnTWG8%jeW%Qlytw(o`kTX-j)M?=ic{ZuT~j|2`b@4G zXn%%g45pRtF=8u_GLMD+30iQJ|CMGBI|P0@`r0Ms_u6 z-`Lr&o0hM9B^63}-`yBloe%N{tWVMf8b_?W%$S_Ru`?oelmCtsGY`&+nk-FcYW@VK zq5RXQQiBh4g$ZinEB*}SU!UARXrAWNbIIe?Q;`^xQn30dopJ`gPcY;C&4LgyNLbeY zWz1+LpCHv&T|{X;Kvm^EL5(7<6PMx!BVIikx7syVi=LlZ5TLU`#kwTR>VO5qe{mq1OX8MziVG$>l5wSP>(sr=DZS|ALIEi72 zw>j>lzjB}AZ+*RNtWE`zRBIXz1COOb+GGUb}Aj zol1$d)u=AdAb?G9%vcOz)nw|aoU&5q=pSR+?t??FXu$=(MKHj;Nws5v54l!)ccKhu z+G!aXqSL<5g{jc`sZK2RkD|5vR!YjEJjfZe4UZT7(RcVy`%Ymf#njM*|5^mts5c&~t$(FtZ)&;a z);7&QRRvn@QQWoMnTnS0M2EX7W^V*=h|#%QfHsk|*t??B%vP-yfC)}THb3EwX7ZP# z{tNh0`{wI78$e)_OEYAWe*4`em9vHGUd)3c(_?kcC;DAjR>JMD_Uk?!HF)9gFthZoitH3u7Pc9i zj(qR`Fje}bsQRy$^2*?FEY;P8^0{M3u0;X-)uH%;ZiFQtwMhPS5P<5#Q8BJ#wDyyF~ z;s*e&s?V)(HRWR>?SlZV+eEu#eerK}z**KaFO}i~#TcDsl4^ZS1itij@`Qd|_`kdW zEdI7^dWk920CPpsSUEKu_xo{_4S8l>e8`8{>r9jlEoTm^{WjiOA1%Z}!qybFaQJTXrm^gTJ$v7I(pMi3MdE-% z;-Gw5wGuSCX2_SCkHI$RFKdhBy==-uSIAag@8@iI+SAATnftd4kpLXk#+N3i?2Zj| zm3iyfX_#+Z()V?>qK(7;pZT?iMzLled-^R+OI0OK)gQ!9Pdgp;Qb$Ar1|OU zTz1oY@N$YfFwEFkI?eUbBsY$bDG&H8nZqo3)k0&I7uCW`flKYPx(LXy>t_eVjn~{% zsVa6CkBB&l6GQ&+Ql?peuL9#9plk9>8rUu zgOs5&kEVR)$(2OUd4nl0cL2NI-;GD4o?NdarOi(#DZflnP8o7u^G);WbE8i>NOjD( zzFR0H9*(9_GTYP_EqQ~!)t@5L#0MZ+^~9>!uxU-hLI13(XsVU^XwXbadyE& zdt9$L$BFWU*i4)wf3EkAMV6mnO7}9nEa80-$3Z+o(&AlKW^%E^7;^ur#<6rs(^rM^ z3zA6lMN2xd=K8!UGwRE85hv}m!X;ab)BP}{T=KxQc&HOv?&B7uU)Q0tURigEUPsc` zhVN3E(}8^tUl`UVmk3=2Q{)!0b=Tgosud{FtM1GTQW;4^^F+=1_!;{4YB;y4Y8uW< zq~!&;9araaToRd_PdMp)p)^+MPnG96O=@llTw_BB*o!4w=j6`jmu{ncDRV}MI!SIj zHeOSj1w`(7ecpSm@R93az!Y&-MHw$5mxa94TO))WoqF>~-LdSPeVb1{%j&(tbwEdL zC{{rGOkqaU=T>TXsrWmFO$;ih?*Ed1DR_CXmxP!MJc!TdiLVRP_fIvIqm&8VHdigJrS%egl;zy9h6Zj@ zL!XgjA$IrDz~ydYv3z+swxbbj5#$O^@JxS!LK~G zXND<7v@fhWHlomht-(~9Gu1ErRz9XdRfMCa9wmcP+s3~t=RZ4-D-)BRuS8B{RNL0% z;V{LhB6vPWRy3@XWmLr!_g?{_!fSL7>3L}z9Xcj^r>Q6TsS(pwhLL>=ZV(MYd_H~v zri(l>SVAl+k}`ouQ_O-c5z+>yA#3iTrsLe;@2VaD&7^I@_h;4Ek%}i{weEo;}R^A;r+O`c3~-w8HC!I z)O^R!0)zxK*F(~f;#iqdW0+%rdd?egI!otb!=zDO*28TKCg9dpNQ?{3>2q#!c#LYd zTh9892#;!=sBla_WhfxL<}}DwfDjy{d3(ps{N^`?yH>$ZCW)ofW`Zp}gmx^!!o3-g z0#1k;--M|w^1HS~5$U3WZOf{BUOYj6@2B$o5uNTz+;!A{{zkG^4=bA1AfmeQ0dI&z zzl*#%Dp;gatfT)14%@LVyR17s)Iz9MH{{%{#z+=+~sjGWpAl5U=s$uA=C;N(?rNnSZ?AfR!TGwkp@Uto+C<(~ScNt5H~3fHCA3Wq46-TiuS?GkL_D$9(%q{feF?maeYv3G?vH zkftJDIkq}>@j1J`OEQQ|9M2N z;>=-oL{;|j|6+K?u8~QNY@Wd%GmJY4`183pmVCt8cip=GribwNF&55u?fwdq^jlh>+yyCu zGfW_2JID3NbVuNA(5j+F_-_>XS9vI6L7yl&`4DHvSmWCzEE<2Js@*d3U5#P6->d@|528!H5gxZuD%`lo-O-$b(u$ zYN9^q10$d4neUjxxS3pBIP~>62N>{$gy@Hul?eWFPHzT`?NN_97>yQt_{BGpUO%Lx z7a1~XgOozro69o$_Jyqx1N`HsYF~Bh-{KRCC}Bxk$NZgQ(dIFI^Xu-QvusGM6%Y|u zT}t>~b(D91SPUg(77KPsB}LqkAht)BuyxM~1m5oRrrb2=xtbL*Uc>p^S?^|TTc-Yf z6q5J_C2MNSy7UELa$cb)_?OIhVt`Fb75x*^f*zxzdJ(XazKvfDSC-O_^8=lu)UMr^ z4>QY#a`!F!aC*>(FmcD>KlBA+@qjX_UgTzT6si}K>t3nFsMLtuoYRwhyn7foSQmx} zy)#PwdVLu-l%CBAsWrC*9FDk@>{xg4jW?lrhHQ9PwXneZ|Cpewz6p-Osiu4f<#G4` zppe;K36qAP`Lg|9MJL&5UgFe21dyu3-xaVdJe{@w#=T zmiC2!Eu1kkRB*a2++eN(tcZA>)4*cMN9(WWNG1DG#R+xvhw3wUqZ+~4%l$JQrgj#f%nL^{Q$ef7a{vtGV-Foiciy_-BQ+TJ~jq*Dp z{8#LHQ0>zQkCM%X6|#Oq_|aG_4gK^=9-ForR5cFL5ifjBx>`3>x?j=R(TK}3scq3> zCMF-t`46CLdvwF{6zb?VUkP;ZmjmZ_kUb1X+U}Mij4G6K-CD$Hdda1n=-C!$0;oY@ z*KR3;mtW0Jc``?drycJT2VzcAs6Hj6buex>%eC{ud$K1{K9g)yXC7_W5P1 z1@?Fh&m;l&BjZb@wBim&6eSSq_5-e5YTE+J^L!5ZzHs0OB23hQb8_*Xykxgyds9pq z^p`E5i7MJJ2CU>$+vh6GX2|@@m6s-R{)%Z|Irpoq2-j|uS!b+uG(tCUSVH_c8Vt+n z%+|1R3yB##L-jnXj#0S*`}5L)$^(9>ZEiZNm|Q+QNxK7GA!isVW8`W{PAsJ<-Co8E%!CMR-#|g(i^cbr?amiCKVG>v?(RKvBmLzftcG8 z`KO!Ek2@}R@i+Bbb$E4hqK=1NS5k%-Ihg}56X%ifmEZ1RWQH>a6ZY5zTsuO9cKPA> z;*1$qX{0dO?9?74b6O9XW9Aj5Z#BR1(>r1!k{X`IX^&9ZdeSP=v5{K(QAFuK{AH>q z-tSFA3*kFJ^X1K5cTrU$X%eZvELrRGCtMpCd;=XIV}Kx>DS7uMPH5k)@FZxw70Q|5 z;mWuVjgf%UisEzqRwf1unK@D3@8!yqCE;K5x#48CpcbUoP#Qq|F z=mitCeO?xa?(p@JdW!F_Sa)b5K5(3uWNsMmCGP^wL;j%5>CBmkv8atK^}e=cweeE0 z8cw==cWSbZEsmEoDOE_~LVUH^Vi@v@ZI6Q4zsT&xI8 z8j=WcW;^I`*D*!sQ0`j@hdJ0C;AkGwl^W;6Qa+16aS+ku=by$;2K`e!QAkg?V@}gc z%)R-YWv!IS`syvbd)Sn+7}Glgj$#IgK)P0=Ul(nl>71t!(tjq;Yy3IIV3dq#b1=73 zly4PW!flzlGFFn978t%?I-16xeQNHC4@x`BH5SW1s@oN@nNYo}9bp?*CwM{brd7go zTzM|yf7oGx44hJa92n|-OoK?MQ=+sVAJ-w4Ma()Mi)cL&+W~IyE$`gI@;j&zeqyxn zld#HW%td52(#Z)0l1539KhVf7`(>a0vy&0y1zraKoQ%qu0{V+(Awf(CBs-nwkkjr5wljg|ZbxnKX-!pnN88dfY);s#P zI5jvkywB5DKz1*QzBqpm?EWEoX-g(6ddnNN_ZfcS7eTH7j=*t&%-w-ttARBu#hips zGR_@cbt>Zv;>d#73NjaEDLV)4A05pyFPLuBacps*YaFL$e;KiTcWHLk_k~>VEwCn% z4Ut+G3J#lopxf$2g~!k&QBXhTfL#fxsccYEx9a^P3Y*oJz8Cd{x4YHNrhjYv_%EK7 z;-f`!UlHw%h)UFHwTSf~IHbYD391q1sn#jZs@s=36*DZigN(eV_)@mMUU-#p;g@0T zOO&%$t|RI}3AkHLyiB}5c(PY0fMbpxZoMaqX6z}iva z*hSORvutj}K`mtA4C)8FkU4MM%&)jNQi|ZArOqROb2_;gSSm!J2MpdXmD$lH4S7c8 z(4e+iSHq28>;Xb*lzjrt;}pOk$bbK}q3fIWN}{NGd}yan`D12=8?x%Fx@Qr2DQEki zSOM3}&KNL0DUYf)yX~AnRxm$HqC)k;>aD8tugZmp4zA@Io4Gzjg)#TqeBdf_k~+>M zSGQ$ms!}vNCk^p1I>>gsDycZ{U_2f|cS>)f6Z#P&?bH@jWTj{|OB?;NIVEqMW^(t5 z+v4Lzs`*kvd%Ueby^`#;+P#b4U%}B0BR3=HO%Z6R#sCjVC&&Mg2cD5po*|h^_^W}0 zY?Y9khs~2Mx^u#OG{HTNHQWw*jif9YpyDhpj^|-h?;P~DH6-i)kh=~AoX-_hGNA(- zoC~~S;cqq39Kv4fR0&u~@n>i-UR!<=m-kPKsbLmOHwJCqLYVDnp%5dgT!)#{bQ%YixfhSi7_ARLrzv9s^yd$`p97cLdS;z(# z$4f=2NmN48C$NXR!TGp+sq2yi=vtySPN4`)tup37%Ng4D@rE2eFp@jKL)x7ra$t4`OAtF_FQQ&LHAlxo6l4_G6-2t zRpZQ39TuP5P%gFj_xugM>X~mz-br~XE44apo){hXySAnkEEd)N1SFL4lV8?3??82O zT^ALtMA&Mx8Prm^L(z&r_}8bE9K7&MV)1Gyo#g5QHOvDZZ(-D+HaB*sGc&{h7bBDe z^T{iUW~FY2yyCoKdI+eW)9gBdEntL{HNL%x!Pf{?>dRRKHPRN8ZHF&!nz*)OD3fH& zVImfgxe}orN%mc?_1bBC&9%@$;3Z@XpeobLwmDf>y^IO1y%<_B_nG9$cLsO^;~=F0}V#H4Kwz<3Jj@!x_=hNNDIlG*MKIfZn6YXTv{ zr@&ge!rVV>f|CToHQfkm0;iZ6PtZ@or|Dlz&s?D+<#kg;=&I`{$NdVG{?37R zto>LI4!K0#lS9~q#`YMM^WG1R5g^<|)^kEtoZxeCP$_RDS@8Sw#ceLwHA6&abDEA2 z;Da;#nAu+SRFa5i&Kgl<7yLUGQT6;-%X(TS!VQ|xR^x)ibtcs~QskX(dl`8#X|t+b z9t9rXNiA|AGbGm2XTIl@2t}1mTQ=~01?NCbv$lp2B53Z0lH0r1!_%l8d~2;zT9o4z z?JP-7If^dFbAUT*fOh_B^`u0hDTv^!i$padnTPp#)r$^_Z#7PqE#*H{TL&YDnay9Q zLExh7r3-J96oo}z$5H(i40wylsLBj@K|0Ff56_wfP?syKf}@E737OnXZ4!tUUtH7DkAy*0WS!4CekoapE_Mg_rS6Y;%D~l$3eJCk{VaX>l0g|WLh1@t z30ck7*iiokv7LC#aAooewuE+&P3pqwJRg_rSNyty@owVxicF<-fk3OuF`YbtTv;KA z`5@GR^TtSR%P;;%_^)tCbWzT(bu%|=C#w%T1YqL@Zp;w!XZb@3nXfpX?(jmGMYAaO zG0#v&)f%3&&!jP}En+*8=9$$|H3n)>h95NBYYe1EJa|J`hDZTiWl!bx-76QN4z$RJ z$z{LkP(ZouWYfidqKVr>|6PEF(h*PCJdciI+>;3G8<|<1zh5e+R=q&F;&j!BRgT-} zniM+*tl^aEP9KgWmlO4s(79qMK4Q7HEI#Xag&TzDEfR$&=|2;sP=EYnhGZcJ3rlcH z03iw|#I<6cgKxj~V}wp2z|Cgv_xn3KtO+e&4`S5=HTKN3Wki^e%l2g=&6IHrx-ovg zVTtNDA{ZCW@|Tilop|IXsj{rokYCYn+@&|dg%wgFJGgsR@ZalPA4o|2yGHILh!1q1 zl=H;D76#tV93cCurY-2)C+p9Ztnej&JsRZFG2K0RziA2-Q8D={ z2wuiw8{%lIfFCN@&XQDjqeUBKJVWP-Ede8RRXVa9y2uwgiZLxxH29F^u^Qep#oUWJg#xm7*9w< zijhy=S<%bQ;wm@#8N_`*7yBN^8&~^K(6Mc~yg57nQk+mkK%2?QRgszm7%Jn-ZjLAo z{H?hQthNBwZg$4d1l$rUYB)j1RBvZ>DqCEaC~&ms4d5pU+y;AOe%|9N=pHq(#2n;g z(-fUl?>Qz5A>`|i#Wf=#W=#jzmm`VH#nsHl>oYmFM2aVp_w9+TK08yS8qbELhhul9Zoj$rj3ZmPN03r zu~JSGQ|Py|EM4 z0s#S@Ks(KW-)%Rg*J=S}=!kS=n?niWE+=^5Ir!53)$se4Fq{mi&%1-sp`Bc?of`G& zGErp`eGC!-G-{=vglmRhalstrVx!oXAyepySeoNH{3BAbDK<0=vW>VRa+KfC$PW4hXqEWg_hA7gTK+}pM)>TWanw=94+Mi@x? zF0FY!*y*}okYaN2mJ2wKVRN;)>hd zcWqZ322k;L6M}+&_ci?JtNUANP0DVIc6_~;HfJ7&XM~nEo*I{F zQp8nn$@(q@{tnA7JhbXh!=)CmzTlF1e1VP4U`w`meY-C@Z~xREm=pHt(EvhWrYx^N z%pAeuc-Uf|`6TI53y55#(RQcLW<~VAY-NnUY~>(|JRDNn^Pi|DvEk4h8iyhc<@zHU zzN}^P28*cCZ+aW?)_%J2h84Q3KA7@;6p@A7{r%_S=kIcW;CsJ{?JC~y;#X$Kl{2;F zcWeBrke~8r5v<#BRC3x_N2A;OK7?)~_ zFC}XsHW%C7caufDlW*>$#+&o>+z>VRVX5f|BykF7+N)a$MrEcNLMhaGyMin&DCq z%LaZ7Y`b{m4vaGdJz0%K;rk1`!U<^ZQVWbH^hRpN?l$%aupMy<4j-lZq_aKk#KYm} z<~%IG5&D4Ga&LYRVS;yPPunpb7juo+@z<%u9KSs%p@+}M0H=Vq#HFnDkmS$8X|GCs z4kEA%)OvIO(aGBgoH2tOjC`$sJNPNJo{@A*-@HbsF0Q(3%oy-Z4ihYKxQ@%f~i)I))izs9qka%)3ChCiUHFb+WjLsQFe=VA(P&?6k>^xZ61jvrZ9%QVI z&Mtk=8u)G1hu6XIM5>460>nFI+r^zs(Ep`^EPfvR(?BDltITr9rvwn`qQGg8 z9~R8hP-A(iOX5D_hs<5weo;nQu5dTAItZCwJ^MWS#Mk2oqB#iXrs6ejP^K+iLHo-7 z|6TyjJd`yLIOb0s*i<1#WNaZKWZEodIRT?Tu-1VKp&JyQ+@x$zU>0&Jem1kCk zLTu!x)$$c9UIx4uX4i#V7h$D~9f2rf3#G7BGHFuQ_)SRGhc;eo4-zfu>UE`-ATLtS zvZ3BJ8F%3NM5Z*c{HFdU*m+xTI`n9z;c++XoYY3&^flaD{jR>ofC^o?&3SppQX1ZZnp4l3j@pWpe(~{$XL~-u+c> zd&#|@=dNUM=hc;GV>wXuZBG*p^!OdO!diAV&;!T()Y!UyHwHt$Bem~U-W8j1Mkc+W z13&R4m|X|~)%R&Jc0EFK+2%)=T|Y7@_%aEJ7T0n|UCG6Ed(oIxwlh)D);RkKPF1boxrHT$Im2E;E?|>c6?2NIakw-2FR%PJ^)Su`E+X=O(G|l-Vf?SAZ~mpanw*ADHd@7(%?bg6b(BpE-p);~?h=Qm zSyH7Pb-;(J!=_guW+A|=v1`q;8D9*q`e1E$K0F~!`Bw|8{Cdc|ktJHBc!BsYXCgAhLIFxqJ3t>2@;xEG>i(j2?F6)I4;RG`3CAFF`Hw4 zxd?1?54L}epAudDXY!)lW=sTo=8haZq~TVg9ATL=kj8$T`abxCKC3z2 z0>ZPe-ZC!z^cI;=ZeDd?8=O_Y$ie@i&MwKc<|49#-AtEAmTa4W&J+g{3VOz4O00eh zfJpe-{yRaU)9<^W1)4Ri9v9Q@G%gR8xch)u%8d-%d5yf%K6P~z zNZRz97HANT8DU37*(6ROlX|pma;T*W|E0yv3JM!S3MKh_N-J~#ge^juatbC6J$`Y} z=$E9eciO;07(UmX6JiIJ>Gt=_f{nL!8Xw;e4+gsGYpr(LK8K#Q^jMN`Rgpiv1?{nE z5(JRB6%Gn^8JyZH`4l3Q3a13$I?CrLGT)`-Fr~zeL3~V@5(qQs)k~PL2|+#DaF{rrVdpf=9fgM}ez16K_c{00NLcZGC#3h+ek z3=F*rnEga(5m_ufKS>H&Gg)P=8yYY5xHOyj8W46=aCJgy5F%(`W>XoykP%X&WCx>W z8n$&etu&qKRGv9Hnm5xZ z#3nDgE2?XzL&W`VJ>8e2F~{3%U=e@x3$houCVZLn>WYo^rytfolvxMoq`N_TO2hUb z=pKj<7o`;|561@WdV*``?nKC45IrsuRZd>DPi>PSMfEftjx#L*e9W!2U35ZbkpX})drzzmiTo<52TS_+O0%f7?~m)(#arj{N~-r%QjM zA@Dk-T!OV;BV~HmW+1o zc<$Y2$4Mi^+lOX==|x|&!1Ftd6MCi&_w{n1-fNF2!|5mQXMjx8Qe54j7kBRP^GaqW zK1uf*+0+L}JIC|z0dZ{m484e3qW^7!^rngDa{&^0`m1J7*iC`)8 zzlfQ)n;J*P$ua_!m%AK3SQ3}05)pRT7`U{h{=}lpEBX7bEY;~2De3ntrC02xPiBS@ z2Cl6>h}dj^hnd!zk@TEDv)UY>sWp$e9tLiKs(P`^aJCy7W%i8Ao;Jsl90_Q`-;$4z z=B&vSN;mU-Sj0VC=Yv^tdKq~U?sZ{j zz%QYWBvv1+z3QUbduS!`$`1H^+2UQ2Z0&LO=^$i6Q@kD<^UrKvwCQC<>b^PVrlsY5 zmRb@Px*Dd;<`}ltf-Vo(aV^tlzaWi0-F75xK1BVO&f^*}BwgQiXi@^Wd4uh4iW~}W zYzE!lvr&CR$YkB84|{xND~@}?Hih>4re1r|z(#M5CXXnWZrDVc0N{d2PM8gP!RsY~ zP`smM(i4fFJwhW_*Ahb;#QM}9oTd}U<1;_DzcSQQ9gj@UkFd@r4f-2rovr6PHfW7; ztgSf-@4p4TF`wzI+R`fPb>-~K(wWoe;nzVj$9G~~Wn*?WTFonoECOoim;J8EanMJn zJ>{@GL>&6tUs~`?SWmf%%$+nm{Rp)n>*RbJ)7N~r0=B#1m-*Kf5cDBZ6bIbWS4LB-df8H5IMxS&`|kx*W;>-dvxO&Qj>zi@YBJ;%@_%OSjrYn>>xh zw}90-Q!SREJZ>}&+dzm7cGiCEqfLKVPzIi%z&DPRYEILs{1msYsL?#_WO~@9;wHnh zUB}@lJHUnQINlrFCWL5J%h?C9`>>PdXGK=*-IB$({#!z?^Ge}p z&@p96)AbvyTGl)uN5*b0=AKPZKHs=6;Wysu6HN@BD@8wOBMh}22OcI!%Y?L@dlqwI zgtShRP&*6l?aTB76jdV1@!ZACe;l`xaum>=mRuu1$M8It*NXw8&Rc=bfO#H6kQS(K zB%R2HAgHtB}zB?F~=E14v3+P8KX8@fGH@Yi1Y<>Bio@6@Bu@g z)uZh6_9^0~FWdYZWnzU&J4$A{8Ikn>#K?)>mhnLkpL4{1$e9HlR*~UnEqLVnkQ1}5 z%se!XFMdVVHK${`O1)FWS{^`loyp0RENiJe`dnq*5ytMjPN?101^v`l*T4}r>YZ-x ziN+M*xyfOu_Sj<44QkARsn{el1-iSCN#s|j;AIPqC!+kBV z<2em!0bCJ>i79*5sywxv%fX$DTa8{;^?{?;paZK%DWo^*uso4DJ;09fu`0Y6@R$Ai zXB@tdJU}SQp30% zqT!IM!h=eA>*0c%U|a!f*1{mvU>fAZplp_c&tE@+TkZWiXQ~akTdG&Xk{ypVR-$=Z zCkvkvHno@7)p(0_f7pta#TZPekp47Pwx2k(uCg}k?ZGaIw~kkfdWc@SyG*{?^$~)U zLJ=XP#5if#G!KCnuX;7o=QAoz>0?C-Q^ZS~VL}Sh|2ypehWiPc=+Sx{V&C-Nw^Ql8 z+}ly=3Dlo!Hxj>hlt;jtcP8ZL&6JXAh~%|B($g`yVb61_X zXC^Sk=s%fUlR?D9hmT$Gjie5eROUX!z+U5+Op+^)gTt)LO!)WagNBcJf1!Aj$$ju= zuMtHkt`slF%NTVZ&v_RX6e}F&=oB)F*Uxj*B7e-*qzQV?qX40v{P-7lpnH=<>=#e; zm&!w5R{Qf@U$T=`qNy_R)Qw-anc9|p52TI@FqZ+fb%39J-?v-EIE?M9+yI(LW%M>9 z?x>jaQRoS_Xj}J_QBFy*{ctor+gJLDRgWj&XSLY2-qufH*d4#*|3J=QU@+Pl;1w)m z9kN;MK@!7Hh`U@2hzjDj+h#s0s-kfDfm4)Y}P&dz1U`nSMA7=)l z>xUl-CJ#T1%;Vq3LScl^Sb`|6W|C2J04E5F&7*X0_XbpW(3PSOr)@ zqYYYB!|tw2aCFKrNbPbaUc$O3ScyLjvuLSV&El%X$|6<6H{Naw)YicO#yDL~JlzgK zI@H}am;QOU)^$BwiY12h*>3~wNNP?1i!O(l+m*}7T+t6*!Q}%&Qz+F}bizgramG)I zsHFI!9r9~b8AR<+$`DIeRjF#$8%aEHTOB-6Xe79t{$^f6{MHq=!9D#Ck(R+W>F@^J zm3tCb&U6gzN+6J%6o_N7QByq$VU;!XJU6V)RuEKlOFon*kcQCXL?(FvK4*%7Mst^! zxRVQNGo-%^+0@O7?U>##7hBFJz2US=V}M{!#*jQj#$nXsY>5wLwat|Rh+TE!h(YuX zA>Z&{_~%PPL!SBfdtp!gVdz*AiH$`*cl+hcMf{Cvx)W8g9<&vg)UZnE%a>chaX(*X zc|-kC{`hY39<+D%`&Y*U5gWyBBwu8`o*dBejdpE1HnYMveH}D0HC*jD>Rp)yPN^9u zO9+yh7X)+3JJx&JhnYw`y0tYROUa*SCMyafwM^UEcYrYvgDNz7HMJd2BDdnTDdI%9 zLHJ$T{rprI3{V?Vz%}->QSE!;+3cr$FOsdhOy5T{seAz6UPjahR!DRoo^`UFs@x8> z-g?Lw0m>iICg#z$J)SIRju{)(c1~x?b-x+;O@xY*I8Nl0!Xn(oq z^76b9e?!QUTX=ma?!ay|4gsyq^K4G-g-j^xoj~a$rq`=CyX8v<*ikJ!bf5Y66(6rx z;6v=&-L$M){|%+}#Q54jLb-WqJaYs1d^fLYAmBQm@!=8b% zP=aeBmRzsvE5o;Fe+*~~s6{Y&Qf>(G%6E2P^+Zy$_h@oX6c+7kw0zg!kSq=kI~-v& zcnwIw>V}~`EmFUJTZDW2Z%3cISbAR;rHIfcpN7rV#o&9Vbcd8R(@Cb1p*vqSOU(ho zl!+#vKmv{BAbiVAKlfFWzq5qZdq@Jw(0Zn zM7(2iuSasWtJjG#i|R~I&}d}lU9WV&J?(;SB?o)X$IW|yP#{^p|x`>YWE1cuzTi(B6GEb(TGY$i#q46|xP+$)gX4^>{V-Qq1l%4y!j(F6OliG+gIo=DWO{ z;UXODK!^hd=J(!GBBgU=D3Y!l)z=4pgIUv^JA}rsA_#_B8QAUE;JpUJ;+KE|K~zfX z>I{@yvdntMY)D>DZj_R`L)$V<=!j?Kk6@2z){_nrvOUoAzJ?}i#>j;dGDg2QV>mke z^Fxy~#ArTq57%o*D+^czu9ESCQ;($1n*I9PccMbL6g3%TcB5U97RJp80*7KwxO8s+ zJN6%r=>^j^#4cmq7+FuIHKS2;Z`gl24-i!gpPC^i_ zDYKQF7u|KvxT(Ze0zD~}VI0mMH9~x;Zfo{shEFi8vG_$dXtt|vM0tjzEm>o<3_00?9?Y)#mb=;*nU050Ma`<`GLK@EdYFg14*KKC!U5qk=sBM}@om%=jxa;6!J9Pc|Banq2*EE*5Vi z(vLrlL3B7~YhU(xZ{gVOohM8>41nO?iuEk;GCSQ-V)A_hm+30;q)9~8kJV7Q6bt3+ zO@ONOaI<82Atn5QVTT*(V#G2EV`i(8a~aOPm_^MqIp$X8U1L0Z@|M@LB!*%ffRyjY zVM>yp@L&OzcBAc<%pCvmtXic~!0A44*wI@qy^9*UUN3p+EA9R?UC<9Ek2scd9$Khw z9_Yww7Rvt4rQSgD;q?6Ng4DVL-skTexxMT8H(9j`?(Am;F_s?lY=L~#W?js1jS+@3 zu}`!{6cdEvNb0jx%`nkK46Qfw+$1H&x?0pY9wM+9}`-fi6Jl`+Vf34|>=Q~029F%cX;1Zg} z@v_03SS~&KjGWt!=xOJPMJN#g^ZKK+!nE%heYiN(m36=g%{yrvJ-6G;$-HEvypdo} z2-R7Dve%5B*dkZajd8`dmEL!cF5??$;?I*kz!J=X^`2$?(Ryuew0+ZMS-hYZV`?(J zcBdoLkL4m~H7b_(8!9fw&4jxwyCcr{^$%F?O%K!ZxR*UIlDkvC+F7lQf8fdIc}FN$ zUv0$vX~rm9)6LfY=I3mKWKwGjeM^`*Fp&vv=PXdfP8cA!pX9SL9gRe#tjeUUI=2>mpVxy*`SaE~sh&~{w#+~vb*@H`Y448fp|2uF z$O&*JtfgGS)3+TN>~#!-a=?tBUahl7NtoBMM<*1pbj0sAE^naSNAT$xtYsPlMpBN~ zjup%l=uE8(qi>E%OsC<&-6K@3U}!h7tii zwmXHoj~YLM9|Yd|!yDr`?UEB|V$8;6O<}P@aCz*v?PDi&P{qvLsMko`YqmzZxHrZ+ zB+smBfEE`;&FemMT_;%^XmiqLaLHvr#B6rPGo9gF552VZBI`^AAs^@RSnjEvP;u_G zJ0|d7sLT7FM@#Zdwa0Lf!EX!~D#}SympE2&81jz%L0c*#g&|`I7I6-rCs-ejmn`i^ zyPpTaG@DcHJl4?!9?!!^SB384oZWkSokG72bSLkGz3I=iI{#V>oYx}?y8$egP5wFs z&rArGi}E{#pEh?2-Eg#6-W4GUycs^#AN0opmL#;_LGYJ7yB>f`#5WbGJR$7HT;n49 z(-;B4PKw<&gvJRhPJPq+75#&Uq$3rIOTzvzBJS-m)I1U?x#W&AYunmPm%8v4WmZO*uMQ08N5gQVf;XNnU!}*=Xl;fBMJYhNbk2n>Q=Flpen$2f(?F zOu9$Fb3TgKLAPc@Tr8$EuFtI&SV6=Y`>V1cEwuh zrFcv zMYc&6+>F!4YdS?kB1VfwZalfI9B=dI)p&cbLs&+58ov~C0%=0P+>m_&nZoxOTsec$n~v!}%^Mz#0Ga`QpD=FL@vt!|z5Y9!C&V24h}(L15h^Ejt)C zNbuN}wuZAA@aUKKaWHqjS{Dr-EsDX%PvMUxk~zh|p?o1BAAL-Aya4Y*J*w}xCVw-& z@N(CKkuK>$C-28Cp2({VI8R1dTvuM+jJc9_{L{ZRZEvU|M^>t^5KPa-q&tWq?2`w| zeK;;t0^2<{EsG^xwgxX_4Ch*%!SdaHvf)eXZMLS1lSx-Ewt5|jhoD1O2_BsPkbh^6 zhV|*D-7_xS!iu-iHbrguTdpPoXtCeH+zs=VF#bP3EV{>y4eOnO=RLao?pBZmreXs= zssqdEW8%nCA2=GSzT9k#L-O$|?kX+~N?I|@nE1)2zxK#KRVc|ce8-G}YRthr$m43) zIUgLGgieK(g=RI;(TaVyj*^ce*D6N+4NDSWU+eJD@bc0)Z&$OEl0A8Po%MT5E6^5) z^^qtZi-mb-ox~u>-u*3g*-}ARD%Xv1%up|ez+;9<@HgRCkr(ve1$XR7TW{|@H>=+H zbfM|@TKE41EH*r$-)Ru{pMP7hUe!7jX7kC>(?fe4?bn*OS_qvml&klYrg1t{NpQHS zL^XbFNxBlaUau(}@p{e!^5pF16#5pi32OScc!mIdbeL zpWFk6n5z|NJq^qov56c~w}-(F4X5wtR_)VJp$DPbmp9-{-h3}97Sn^pV&ER_B+kr7 z{NeDlY9u!)s!~zoB)?o=Ahw<+-n>5v2{R1~TJ@ChWJ->XItSbiR30-JrFD-x4apGB zE&J+{*4>d3I>jQv0f-a+^pwg=*wW^oRlx;t92=n&0~4=zl|M#yX^y}c8%&exbZIGc z773<#9be zBsO2}&UnXq0pi6+5ke`Cb{8_GDJEbrw*9n1I2it};?-C8T?KdrmJHbsSy!O%wGIne z+T3})1H9_X9iAA2UGgU!EdiJFR;4^2qj(CSalm;H>IQ?4(K7fJ?&Q3w-2i5@6&DgC zoG_ltC=6TxXHTPhNnwg4qgRU84_!|_Gb0m-S(qzx2duj_nuH}o3};k;Dsk^yFSBVziY_+54*v6`F+j! z%+XpZLzK(6N z>1lc-)EH0i>Fi7ktV$dNpRw1LY^Q{VxH4Q9OJaCKuU@PC9XOkHfhYV$ERaKp%V$zz zauu%Hwz|Gc)$^DBNAcKyImCW`6+;b*+P$RufSbf02i!|!$}$5?f&dD6)FwlRy^%6?txFaUUILu=>^yv zZ@mkVgI@2uh?}%L416kc6d6w2?uNQJpym{FJBZwfpnpOW^Rt#4Dmguw$a$xoF9-tk zO&?x=&#gdML*0`stpVtZf{w^a(+bX1m>cC5+2+EiWtkgkJM8xZr~bAqZwbU+`5WClD(`r37H7 z8&TqLPuZ~Mv+P<=Y+ z^GRoM@rLg&7;vRy46le(F=su)04rE*k?ylbuN@F0hk2nj zqCj^Ng1@^qi1S3Axbw!rHm3*qa6~=AV_)%{MP>;ub$p z%i1*Q2D|ts*R>u%;7hryrBQY2)_$n2B#(V~P7p(iDEse;E>7sDa`kMoIv_PV@TSA% zPZG2ruJEU*ji;Y^PUyx34^!HqmgAY$4fJLPgK#|&u5q3!Gq7% zI3l9f@Os>NZOUBPMChzz?0TXm4N{X(fub{Un2`u(!Y`&98W`}6WMj)(Hc<(NE~3Ro z#gZ&}GH9u@z4G&LFVA^=XFESf=FnyRIW+F4ucyb)am8zC@g#89J@qQkLo(d5;AE@2 zRJpT`%w4IDM0<(I>bNVyRlU65$O^P>KZY-&-L-O6Nz&MD?PQT7honX_>ZPboo34~M ze-R(6_*X5WDOgWk;ep;N=%Smx(bs`;sxUmMPM9Z&zsNDvi(8Z7~DXcrN9S!4g0t$v=Q%H`N zhkq`qLY)iA9NB26=R~4QSUmh@^h_G-bLBYQI;=P#U<5v!+@0dpk=94}x8;@Pjcci2 zRbfM6Kh*Seg*fl?ifBHPi)D_k@d$b7!A5sPhn@G$#p` z{j1aT{R}K{H%EEi1d0BcV|MNpel8HIcQ7Fj1r4V?b=r|e5X9%TeL`+ws2NLR)%6j4gMG~92ibMQz^4}WkKc>A72ytEL}>fzY7te{3Bj@b?E2H?ujHSQe#NGK{HR2uNjNgxiNx?uM^E$)PA->W?BO)T!XqG%6 zaP-lUf8)=~9JdpI&yln955HYtQ~c_z%EI4|hgZMcsT_LUANIW~`{%bW!EX+Yzxk3i zUUX@l|3}kV2G!LxTbSSw+=IJ22X}Y(V8PwpB|vb3y9c-64#C}Wg1fuB-~E17w~BvM z9nRj&^mMQFbdQGmj)R%+9D?D5VZ3o}htNe0Irxti@pe4|>?|9se>l(Mk-WD;`s|;j z0en@Ah~xPH3`%mc#HAjcAiI>hP~HE2B*SNP*8e#E5FXm7d4$q6BEA3~=)Fnso4Luf zb64y69zT4nHIudQ`>65tL$;WEYgb)K^Y6@R7RS@uu140gb=^gBv7gE`Wyxq^hs4fE zc?<3f2_-iCw#0^!9ZTxG#eAA$9P+vkj~zsDl_T^NmU^jqH%qvIh8G6{IFvHJeuYH) z_U^cY7ECD?6nQ7ZUZZEVVXkDqY0Z(8UJ!PqttAHWkO=1{9M=T~^Vt-$6{{j6Vh^2) zsLQo6z>Ya_b_s&>XJj~HMPhV3T7P!HBnNFPxfBm74nGbS-{S(S(4m8k(~wP%Skj(# z2rr($;hOWBw-PzHDGr}Gsr%G}@=;`bC!V$ltH`t*IU7yXWscJNf@BRmRjL`wc8hxa zLXXv)IooFR@t>rxpKep`naV!7pzf*#RCG4k^xjf73B9ij8wh#+BxT7Fm=eCJr?qn^ z9GM-^ds=$sy&2(lVJes>e81=CFA6`FkSLEyw>voUbUmD1kk#Hn5>dN|%X#;SJsoVV z9P&1eHPM8RM>x0~>K71tb2jXJk&J4H;ujd2;^cp$50{WN`%O(nTohZnuJ27kopE>Tqbad zi!r2)xeGWpF5vj_Wg-grkW%GaH#_wz#I$u6I#Pf2`Y16SxWORRA<|BRb{P-S@!tX)12RzOr#?wvVl+)#qV7Wm_SSSktWdr%6qB&4bH> zAN+*c9u&nV!O3+txDW-Ld^z zhsXFT`m#VC5#kxZB1bHk)%GxTCsf<68E41WckkJ(o@lWBg#upR`2lD-uc|FfFboF#I9lgZK`ccqbBg8;@(1 z73zDBsd3!X%ZXf|Sl_gb@xcYdiNmEL-PeXeMsGjaw3QJE<+-Glhjz}iAs`Y1kCJGB zG1KLsc7gnPoo1SXIgk;XniiP{?RfTiav`w9c5k9({+M&C}e=@uZYEH zKcrraCwjD6FzxdOM7-F2fM#{&2<9ibA}`PlXe6y-=8({>D)tC>>Nf8bI6dlb|5Yh`N)h-Z3Q z@>^G84$o_fq0&Dn^vrq;UsEYHwd=yaX0+z}qmN7-%BWNq9bouSLSyC4apt7&)->(G zJZ%j9`K9}yY}RVvFyHe`$KO(Gy0uYDW3J)Zv+%DK-@C^PxAfFJR0gMn8pYJ5v*%=O z2~Dg#9@+i#65a5jM z>qEEiM8S-7h08A8b@1^lY z+tYQAh;GxD`rF9jh(Z}NKgxb)qM^!%p5vC0zpMEC3#YpkFSXag4b~V76mb=O^gRb( z8^w;tPk7r7D8~&Aq$CuA?%jLU%iXvn2Bf?ieY>ecNTJ`E4|h+<09Ow@LQh6- zMMUyTUZb6Gr0`FMw?wt<4tGm!aVdV^_m5n8ea{bH@`i%Ao`Y=C+EJy#$swjLSXQ!g zVUDLdT{+$c3OTKO--|zWQgvgu1j0d|l3;%}QAC#w&{FFQ1}}m$Lkjh_r@3F3cG|0s zA__-<7~6InT!{u9oW6?(EIzOM63aJ}*aCvn4>MtP$ICovyl_!FIYvMqvouWPK63rN zO`5^a-u4muf)I;%w_=AwRX2`-&on?e%(@fz#gemxDTI`i^jq!~GB`uWy+vqE#V*Q- zOvLY@Mi$vm8=g9-+uRM;WRz1-S4NjLA}L3MTL&$UdscsAq9@>rCE#{G9zNdQU5!=Y zyXD$RIa?Mht8>v+TL2cE0}ky@_kGi17My814rOmk_2I7ZheV`ZFqN>8$Vapkxm@AG zvHF5rbM5+6@HEP%gNM42?!_eGNv4vfDz=`Mz41N~N7pb=y&~zHnbm&Q$5wZ$3Swet zd1M-y`X#Aw_H1M{t?lT)cav?R-ul@7*;aDN*X<%m>#7_|4I$bl&>1@e?Y}dL_jZuX z5klP#5ffKw0LQ`BQ~xI^lT3(A3{^IM%Rz2EBHwI%H2n{lI8Lz6vDuz`t@B23-lIll zD{^d)MW8~%dEbD<9HF0DJ8D0umC|`+p*xo^Jju#I%mLHZjVSK?x(C(H*lDtXJ4q-2 zB7~ORs-$$FTM zj!olI<1gXUrO0sI5cFJe-Ci+Ey2r&Hp)9MzvV z2`lnF4dwi|rLeUK;t}R^V#|q{Z54uQy2r+8kY5BU>uMBL%}W3AUR@FQk|C?mHbH*=mhy5?y2baHE89uukU z7bi6=h8HKYa+oXWea*^vx&OOnpAay!aIUx>INubyJ=kd;a&L7X>2ShEcolMKmdp$8h;bW7LJ)bhbRM#>VhD6aKCg034> zqMYvpDC{Of@FZuM`{5iIyk3cu!6s;bO0ctNh35ibC>!}8&kcIgTV~lHa#|s}BbI%&W2Crz^>hy4GO!0N$`hJ>4jtt0J@2mbEr5eX_14fl4ok> z%ncjOvJ*bwQoF8bZYykZpnNTAFUwpNZ^I&Hpk(BWL9TVU#Kg2kRh&x?SaExfITCl4 zV!Qv!-^@y|vma}Eoj8i?Rw|oF=@Wl^<_rS?ElXNwN&a84+tHWEblX!VtQx5bTHwaa z!WfU?w{V($jeakpkGT~Qu$+RTO0<}-jEFo$kTn*O8v(*OLwwUhVWeU@jVULFZCS)cFORR)StX;w zj@}tD$kM;HL7O&i&x82l95dPU{k6n9{u8sC`A$Z;%6+=cV=;yTxjzq8juCA~)-n{2 z>d474D4rg*ZLMglZ~WEI)?BFdU8WV(!b?^CS|OzUImp-w^xa-SQp|Y1q8FNj76mIa z=RkHDOzV59um0n~?EQo3Oat0ybHX@O;>Wg~)6W^2gp7Fo(V4b)t*Q;sQDj|C&mkdN z_ChvMAt{<7?H4IB)L+D#+(#Wcgn9kj=}B1UKj}srLLj=NZprz|HG6EMQ)N?i!)K{i zDooXE=A9!2euHm_H(atkbA5g&Iyw|qltumgjdt(X_@js)SxR3c)EHDqyJ>|{w;=x- zpsSoc$yALCsfthlB$K{CF?Q@)YvT}$+w(!b!hNta;5~%VdsHCo@9M`X0Nj_uQDu5-L$Mk(}iU%HIN-w?0 zYN&D1ozWF~?D@WzB6a82QB$&qw*KR(e=q~mCTP+8i^c8Dz_-%VZk85LSs=eYUiLxC}9<@jrnS`wQ+BobGkkFh)g+P-*;t_RP z%|#!Do$Zlw_4yftc%@yponH7y)sRn~KhYYf+>JLqH+lK|Y5nzpFIy>CNKIHvxG57j zgj9@l2n7s$MZ`BRdc$QCD_G$9Zi&}2u~-CkkF70j81@|+SohlL%9v9!|KitsnyYK- zNV=JTDg&A-nJW-0W>&wJ3cd^ec-Zxw4w!yvs5$ApYiJn}&Wk!h%oQ~m5;?=7({-2ZxbJf@9>KBQ16i~8>Kd~YuIWS29q z-B`O)u7f1|9J|L`>jzw#gnQt>Z$i=Rm!YvA1kUn54#t+!2Rl5gCHR?W86zM|jLApH zOB_s)lkoV2<7d?gtj83#cDTvQDg^{(>t!bVcIl;<2!GJZ=-H z%xW@y>rgw9L_}&c;kgOiXn!f?)BGvUW^8M8PUrn1RWuUOOK@)svCvVtH zfI-UP!cxToAUT1Cs7_>ELfyJFfJSsvykMP=s2>>!!_0VlfFgSlBA6veWI^8)%Nx9pBcha-xdg zlI<#Up3@jOHd)qgFlsE~S?hnv{6bME-qwI&{_)vB(BRJGZXmO!CeKXLV$5B=^;9c< z#Ys^X+41d_2?&Z15sI;ULmR6y3N4=*B)42z%jnC<>B+`Q`S&~iJjHPKBIe)7)T#Dc zFnw2-f|(V=Dm?JLK{sL^W}O5 z#WQd{aQ`i+Pn+qJ^a2w5eFY^-TW)Bu_UtO{b|b$mAgRp>w=ZW&R)g@LihP+?lnKcn z>I@bcAX}VsB7ywtx|_kDQBqRX?D2N%7Vq!(N8+oPT*1t1^}Xc1S=BQIzoZGSqe>3ZgoyT?_KDHnOQ5bKsVUJ;J^khpl6;v5Qm%d=0>)I9 zI9*IEk5bBrKR79iql}^EE|MVJ;oD(&UMi{=PFi!B3afRjH#I1E-gz@;?Y7H|lpx>( zy=|poR+C8lzrV_Rb%Z`-$UU2--;NfMC?g?emd14Wkp-^>krSu@rW~g=t<04zSCtOI zn>A;6AS<6XN%7aiRKPrSXa53Ml;L}!pNGSW$zy_5*ivqX6Vz)$UsQaHGTpRY%HRZQ zF3)9Kd36lg=Nc78>kTKQSy+AbJ#BITX%9+FkLdtKbM?8=CnADz2QF*U+JLIg7JjFbSKUl%~QShW=SM4ffo1SuYGmM#r zFAby#)J)j}_j4=GoKKm1cwhNXXarotQlVAH@xUOu30g{1J=pIhNZU;$T~h94a2jMXDW9fN;QeM_uJ*YUea ze55J5o>M0CISsFdHxug@a!DzdkMPWacDWniaO>;%vFYCgN`32$(oXJ# zm|s2Ki_}b8U+cUL6Ap1SN~0QPMf0Lxzz>PR8fL(xBm0Lcg^md8bVmOxt!t0H%ek98 zZ(PR;bxHTRn+x+=^*|}Hqg$E!p0P)*W_1_@7wQu0da<=J<03R}d_;_sJMmS=48@AY zr?^_$#}>Q@j8MtXtB?O;g}C}RWp8hBlSbLcoQjM^he9SGi%tFEAbj0lm^0TOD1vqy z(UJ)Jft={lcirCRb?uExNuzJ0>d>W1R!08Y`uCg8zUuWI-qlt@W=DCgsrPITOu;k5 z2IK3u9{;@Wc|>O86->Fjv(_EA$J;hq?=Douyu|@oj+uHC7f!_fQby_YZKR^_m~Pm*tN*3v&N z{raX@&78P+XIJt2OMNR^Q2m_`t1#Kajh#L!9~yxA`}D~PwZz&alR8trh_N&Vs8|)n z-M>5bjkA{5R+N(0_Aw-q?5@bOesUxJouxFNtMm?Wh=ieC;dIyDj;i$T1AYDQ8 zd+pi8|FZzXKJX);wkW%T(0Jj7<;HsUdSi>%gk)JN32T@Hp4$S)&DmmR@To{qE+q)5C$YC*5~L z|2c;5MK+og5j4j=Yim{;6s)Z6jx_fncv3NS9`6Bm6cfhyyFC30tZDoFvAI9@6-bR> zkMm6HAnQwyEiU3Ot@&V zYb4N+>;JL-iCTw3y!Cn^IzmR^MGHn0$N3*u5?>Wuy=HH9lWaxCjEWWstM{3MN5e^; z-XU8BjVhh!LpSLLz!J+jUc-qHeriS71#Ri7O$lk7ai(!#G)v z=PaZp*QIoLUz_}eEPs==U{x{npTAQujru7!wsuh1z|Vu=YiWWR!d!9UD$SR{l1&GP z*cHIC$u@|=%9rb#J2koK;Yv!+^_s8wCK{q|<)N+Zl_U(o+%Lk3WXPW~TJ)WNi4`4s z_3t;vXXj9^x$pIo+ha860~)Uk^jNC9<>)(0dg`O2Lq2Na{pnbF|EvcS=#KE}en*&w7}Y}o+)AR>i7uP15XRsxWhU0S^^KGtuJqlP@9%}00SyS1v& zsnD0mF*hiPWfT0k#@!VU{spUls!Y=?9Rt*u^oLCWG4gKTl%Wl(koBm8V80?n-apcn z#wzAq9(>*P0n~T*Y=_}6im0O8j3AyN^^4BVerLe}o*ES?r*eT-`B9RfafdD>z4S?6 zis<@73J|RvIT<<`QaYX&8$48cmxB62_k{39#e`g^X8j;-LZKL}xPI7wF;Ir{Gq;=oZg*mxb4ry0mvwLP<3)Wwd zkhxuIGC_o=L^%wng~??^6gj>GL63esXn1s{r`5b;YL>QBn~+eBa1Y8Bt#*{pr9w8? zGC7A~w`@6;7MyT_1fly?XsZok)3frPyW97m9aL|7boKg_)=e+2cQQ01|AXCP3J=B4C#WbZ?zu_B?|#gZ zaNTPWY*TamFJqyYj)}b`hsB1nsW%L*DW`sfWOTL-Mh=U5zsU68Dn>) zuXowT@wyZSis!2lrq`b@phX8!+-mg+z6qR#v zM(HX|9ln*t=<{*(FuItr70a0dlhWz-ApZ+RM(~94C)I$MmqIJeC>CiheBq44_}r|b zwD)=Qfzu+{(SAzvtwyD zz6rn;R2NRU+@IG}SurVtjltn;0qb63w+^VCX z<(B5>=g`40HoI9`%1Q+ZHRzr5Y>BbM^MBbDQpr@X(3zY`*V(LBsI4;)~$q zFtA(EU4!w{-y{{sNX~gD0&eD>XvOJ3sjC7=xp9vXSGu_<37X7Cx5t_-8LmL8N!QdYl33#LHDf}ucr(>TBMZ`ADa6a}d z;;Q)%8%#Gs3cf5>;(rnFZQXDcZC6r(I(${LUmj(Z^8OFf%P3{)gcmsPffh^2ps9aIO~Kj`_G={h=hkNMc#yBz5s;Wq0w$q;vLl@RQ6K z4~J4@#X0pSasO(yKy# z5XYhDK;`3jiqwFn?9;80R0W=V6q*fC$g#iE;A%sYzP8<(p3s1dbeMUx1Qt+oHvU9rC60kATs?K#zs zj(0YQFlvQx$}GnKE71zLYjopuH>n~$Z@VkI#3O@eZWMCl08ins;z`YtJCPp^_bHdC zE-Szj)A9XQ(MH}@G$>*b-ofu!3iuMOhndkjFRRNzn6=ldE`+fth;cY*_(XCK!E0|- zrFv87K!_FHxO9*hAuDs}&`#Gyr({;b`)6Hgt#^9cJN2~iBSI$5>^R=?QGm-@*Y?yq z@O%tq_;bh~B80St&TaLI{uAq0Tm1R>le(&MNjol81A2mwS75L+b?vu?W0i7-nyr~k z!I%!?>!ac2NX|^rqbrm1w^LQQcwE!WpELZyDZ*Z{*Ar?QKUUN=zlkj`8tS{9P~GO9 zX6QsEjvxnq5Puln^G$MkC_tHjcXY2`nItHs*j=`Gn!6j>HofKJv4I@F^ik$hf~+bf zvI4?TCg}#fRFvRTkbmoJr%@UXC3D&|wKLt!E}@M2w~T&QIR)-`QyV>t)meOBA)ovm z9g5Ew4>}f?Q8%BDcaTq6ei<96|Jd8%gT@6c-l~@qzHIyTm}3n(LEW+c#05TgT9H2z zNM1NHu}!f8*XI;imRNvhT$ohoefO?i&QL4vUXe>L3k`6O{mHhaKZOK{E>EX6USG0w zpT<)F^ay}k%ta8RiS;C`G-#n{kassN;h=I`05jzd`!3lm4GpLuP1+qbC0OU7pGq=v zllzYQ)XRJ-*FrV1+PW<_YDgr|rseH%^*^5>&5+7|HSXcx_>aH8__rJJ(L0#f#3 z-NLe}9b$a<1MQ&h;9{TMVxN6y{V6uEWE`u|B@;d+!LjZw)BU6Fi^30OI!1hh zJQQ$lG3O((dg0AKAfsScJs!rsj&OXghcv;1^}Q$D-_`yy5Go0r%jpd`mr)pEy8F3P z7pZRu1|YQ0ntAvkr(H_{nf&b)NewJ;=eMr{enU=N-8kQZ&3u;Y0qtII!(rW4i6lX( zw+@n0k-WeX@^fJO&t1cJtx~p8w$+YT!-{A@o4W*rgj1uQJY~aYXxoT6(-l0@@AjWt zu6_&#iX>72>Ipqt)XIk&|GWwV$;X)~N`MEN0r-f!o8*Qh_X50g;?cVFHtWFdX@;@F zlqwrd10y*blIq2$_(H}OBNg8t^iiD>qdn=i&Q^;Q2}yh@H<&EBGw_r{A@lPCI-2z6r#s3;h3^Ra7<_*pqctB5 z-FqEcWy9HjbU9=1fe*}D&Qd9zNclJ1i|bh&wx^2{UY;57(|wT zf&yOe6VU%SIdNVj^1B>H z1>m~Rx(53@F2s1;zy9AmshKh*%w9dmw*^PIl^X}gNTifD z=dzL5@lPTebbwuFL_HM9e=swtM58CXA-h+g*8U)8e7af}D*3e0Ks2i?xBt8*?sah% zKU<+6F;`tDg$7NT7TA%pKTpe}B?4?QyDcsZFecqJ-GgrqDdNABg;`q(7Dvgr{`35Y z!*#+HH>AOe8Bcv9;QU0hEelK#>$!S+9Q740VDCu;C^&_FvmIe>wG8d0WpWRxGJtAa zuK$|bv*S&vE4JVkuFoE7OWYOSUe7l#&=vmL|1_eNaitw^x&L6{L&>kCuB|l;(0QsJ z6*0G4M+%)5CO_=mM5l89+luJqIyx2l18T+oOtEog+*!PZxa8#QV#lKCP62kK3^B0p z&uI&+TpAQSifG2u%YuwgPZ+R@#BN%{h>`GQebxna%i0GcAcahuEJ$Ed4LY%~qrl4g zdU)liHq?%J$s)wF{p7<0yy=}D}l{I>nwKt3=s-`k# z<@uKhp|6+8BFnaCc$r&ky_L)r``;~vM4Cs;?4~b;0$iqL{{y>T40}*T(PlJawNtyq z+?_cAMdU+9NV;2~uUdISZh7X$Xcl`nFxqKp=x=VC-`N#sjTAe6^zSG{@xs6Dc4UFg zSe%+yLucd0juau_-Csz)Mk}L#TO7#j#h!JE7)pEzUCP5}PglMcv}w9|e(RlYtK+W?{d&kd)q-L3mSoG*{EoJK#1&V+GYDL*6zF`SCyeApEQ%I!krUC- z+q;4L7PgPipDBMs=?O`hNhMj>{R;)SHnFz!R04tEqce9b+eHoq*Jr$)qlZVzR1%82 z=L!l!--G5u=ao=#&I8mUHQVbKS0(tT+Hp->EYI=4jCUlErA~~;^DFb)^3He+AA77? z9}GeN0I@;yPhmawRjMklN952X6zEdfaF>v?$`;oHSI@-NmB6GjibP*3ifk9MitakG zh1(#Uu@F+Ul`eNfj+?j)vx}*F`5~DoiDlM}r$1vxHIxtEYCIiOof?BsbDx3$2S;eL zDY8&Tt(Fp>p1|w<{=k{D1Gq(Oi5$+(AO$-kGZ8-?>iFm($(J^b>0`ZbYZ_HuUG2Md zx>fj4?=%X4v;V$LlmBE@WxWeHm2A6TpCko@6I+^t*B;N-0wriYeNAHbpn(N8B*?P1bFjGjMex~EdcvJ7 zmyHG8JOLuSns~BycRsePZG6A}wRbO|mIE1_Wd^I9vSEwbB_(MX))ITWo15hKJXSj4 z`)9)+TO^S((U(SDS7mhkp)+QGeuh&p9}VP%u{%eV%c&wSz~6nxBe-y9wnIQ*U18q` zQq(9NJAd#rErWGU^{yzZh_3Lyf@3Lc*Faj!2b|@Xg$v6i;Z&Hg;%PEb^g~ComnMOL zv#1bcV)6i&`-zbz2GuKpLDX zUK14f{(j@mHsdz_w^15tW5XeRDWy`%*|(26xTMRJlM`ZE&;*?lIoZI73O%V#gm*2Wb+ zz@euJSmKD4GoZ zVr;~KOcgqpkK*YtP=WY23Vb#6J>3ycCT6<#R?>C{GD&s4!zUslKSxx>CdG9fQ!ChW z3+}A~LTe2u0$1 z1v}&CQsbT{FMQ|YlsMdpq zxa-3LgU*DkL8JP(%kN!!WzH>*%vVj3NMvMnEMgfQob#=UgdT7Nsg67+{evY#?9WlN zh6Wm3po^=`Bn!X0cuX3=*A+0!%n>@`bWp%saFc&|hVl zZA5d*S+RpXTW0k=Mf*x^{<5%zxye^4{TMHtcH$gWi+OOi>JP>z`EI_f9Ka0qUdfbG zPW7=@keGshY^=wD&n4U| zh0H^Nf)%KQnR`xL@)#SAHQsO(HtD+FkByA#_BQk)j&Su!EQu!2d;>wXMD^(|hWI(#s1;nsSH9ilakhBw;QhSx>ZzIm5K^sX zhh59%(uJ^CGkpv|nLBr3KoYy|a_-2S=1uf^KIFG?h8yrA8gPuPIkRt`XbZQ7T(-hz zBct?0Mv@{ZJgh4BdB7$b;g5A$I_+)w$ZH!v&a78I`+Fr9l342>-XFM zdiSwP+eP%ePQz0eaztW~^N=OD(AHyrDvvf2v;aZ}Q^ale!w8MiP0K0(n+om~DdhEF z)o=Q*<1aU4gub;B%rR% zji{%*{1_#&X0|qW(fRP~e%|#BBkOlMjAX2Np_Wu2pOKm*-fPHOPc7$G_%ANO2?++# zM#XfSfHcE2&CbU9{sb1ChIJT`GSbHY^O%HHwM4N1N>7^=Skgj~1%Uf6++lvn7yx`4 z4j6RA(T*ygrxR86sI+zyzx&cucTy3@IR0vOr`#D|?d^jM5FJ!K({9W*qF9pI9yEaJ zibcq9xsq?Yl!NLLpu_X>{@)X#EBqnM3}F)@GDFyMV%t8~4`t@j{UW%-ni>-fwuRM% z`=PgYAJ`do+gsr3ljFYDAIW8f3RmXiln7?H7w2{i-!CzA?N zc*BF*HIg$6prNTtHf@dM)Z$*S;Y(o3aBshH`%;zpPwV7FN-1aE>E4MhPiDnC#WIu> zfGCVVt6&IXYKk-(*ZCao;5DAHVuIWRh*gS;kv&vqR*Qdl6TrTcYXPnp{$M=BXGYR$29tGAnx4E zCrrsxo_UZh^K}+OWU{ynLgZaEr}W9SuI6u;x!ct&{t6D>b(IlusC^30Z>C>&Y|OmR z4+7$ZAUGZP6*GbBSbx=+n3#B|i=e+IiZm~(I9}6KFs2?}ognPalhc=^ws+R+iQL?K0r!NrAGB2{yDS4viHd!!+SU&N@~rNdzOf&c@VVZhr0@ZsD|fp`14avRzH(K&+#mdY zTRYRQ|JSm|4fHSWwe1N-Q>$Xgp6{%ja{&k|;gZ*Y<$K}c|NQfC?KcJ-J9I8b0(rR} ztSF8s|LsarM7I-MFAmm`z&L}?c3PL!k_iINB@GgaX7DCzlom}y4MRr6Vwrqs-fBjU zRcs}yCQ^0($V0QhWbieBr^5`QPb5w;W*;Hzuk-yxx?r?VSFyiwl*-AlxPzUneG z67)b5bUttG0++h@dy!G5aF^Thl&w|zkD{9u=MHeEEPR*Ly~%D>g3$EvLquuam?trn zo>}6{^H63qj=seEtY03o=U@q|_pI5xP|y5Dr)*c^??r)YsL`&Za;EA#S&(d$gj`Q@ z&;sG^3AzHrR(ZQ_@%e6kLVTobCfYF57}mDL2hv#pQ+!LKy-Y-Ux&&gus%3_xM%Hm| z{68olzX}SD{G5`rEX%A88QqXsGHSF&K+FARKl8~=K`hL*a&lHNg4*mG=)95rmp*rh z&$C4XBG9M^5Osi0_P86S?1zI_A-|V|D`Y$ngZ>Tk>ANq}T?rI&j=B$wZ=?FHziQDb zSRH_=B=n(Y*9yCe2MmDPJfLe2K$AQhvYv!8&qs zYc{~e56x6{SUhzy1Ht}(BBt;YSB(X3xC85E;im}$uCxRW>H6(D?DUeO9H+@HN9KZr z+@4?nLaaZ^%PLzq7F?hXGEq(Ue>iRM`4H{)1-AY=^QxSMDMC86e_v7?mpvkSRG`rf z;M)QRvLuE;9d$4MV2-~9`d_IcOaCJwz#tW<*7BGfoqhI`8oEXCLTdC%Il}?_k(j z#?~kGC0`z7ZhY9M8pQj>hQlj2%(;~)pt0ic+!@d>RkZ&FAh?p6Rf>6qICgq2<&-I< zFy!e^WJ+rRA0q`ZiMm$p{JJ9^fROLJpuGKuzk}7Sltu|2GD^{6Y^|Hws?Pdq;-g<} zUZ@*??JQDW{2<0`47CJoZ{<1v+8V2uVC`~uQFBKFh#*8sSjF?48$L1mQ$W&u(r+KTP^!BBvVfCi$9s@x*|5J| zE?CK`Jr`U-(YVV{MZVDEMDWH!GH|aryy&%~7g4H-_Vw0p{?!>7wZ`kG4S0%V)m9Ma z5^wh?#ZJ3H=GmIl{Yy%EiEIo1Zp)|tX92p`euphh`51!PX>6j4W`m8rK&(RVC&N}1 zI68lpik&aP-+@;KBo%u=vp|^=HW<`ZO@YhOws_zUbnSmT?{d}s=<`tk56mDB842bB zSdj@r)9>>(_gq^61N6q-1NqMA;b@>cPCSp~x;+k|5NN40K6dX$sR!Ozpts}X|K8YN z&FP9)req!)G?-w()YqBuCm;Kgr2>E>B~~;qHm*Nm&?iB7giATaf-G02EukDgo7sV}SnrMH>>URYXcG{H>wS{nvbsu}+K z`W5D#-Swn02W&7a;GF~ZI>HT2_S_5VU$$Oow9C}?oFb_LPi}#Ys(syuQUT+xp<%hU zUboAVW@O~Gtj%&R0^P0kF?L&9$b!GO7q;57bZjd|$ygbj8d=p^Q}zjHhb)v&lo?Yn zA*4<%?yxMcO49z7(9W(WqlOURQ8-{=N*l{0$LGQTvGm z%mu^w#L!P0`>~y|SRhUB6<{z3!& z71yW-_oj-EsrZ$dGPkDM>V!3&5P5AVhvo5zn5d&QYxBQLSB;4qp_Bl>O1##dFs~tT>Ol-l5d*BVsL2wLspqje4#Tap3LRfttf3f1zRNgyx$yAz$Yh;a%3LQT;8+PP& zbvUuMn>A*9o?sWcX<@0miDUv1R#KIdrcfE_h|1M{m@IK@Qd_Gb8ZF=2Kl4As$43v~ z?Ab@te$^VIARyjbod-i;)uxM?ZGRKP#lf7iT<{MQRCXx6|3(%0G^+phWGl-|m^X6< z{qETdQhe8Gi&XL?p{7o!HupysFlxw|R=Q^K(70>)-EfALX`OHI8@Q|d#fwy%0_q2dpj3$~c2b1z7wYHZZp6b5!sr7>9jao2#&w!d|q)n2Qw>t48 zeh?WIZ}J2+?tR#TT6cD2->A|2(=c%=O1TCet-$@RVv2I3hsrpV8wE?&8%d3jP?r42zuQQr9?SRSwN%;OESOo0pr5 z?HT=aFMh+ghkp=Gmd(PSyz5(1iv%?TyeD;ipqJNV5?dz!EMIiJ4Wu_f05Vuu*KY)wuiTb`)wxWwDRCcWgEZ@p(TwM@3+vb9FDa(do=&zjAN}+$*E8&qN~NNmIYHz#?yw4l*pKnoU?l}b7FnAHAvDa zGwxmMV0{12?)+(1P=l!Y`uH6LSEFoRso?1fs702TO*FQV^3kSyrP|jS!@~W|md&%e z8?xsy`l*2~-a+CELH(WSpPQ(P=^BIU?7DV?#%5!qv2ELFY}>YNJ5AEqNnGja$eIp&eM~B zTz<@S^1&CleO=R0Y;m8or(UMo>VBS#dGFP1=|4U+ywrGoj>)HqHw}+#vnF+WztOX# zvc8J-v3(kl@Y3>DzMN*pA8mfj+BWfZE^t%ZrPFxnV@Y2=*0h9(hcQ15P9uCbP&Ckf z$~bGeWL}EdnUmY@^S8*%KCU{jU-B>(+%4}nj4a^mNS&pV=Z6Q&@y$er03tT|G_`q) zLg2~S%skJ)60tT|I818xP=$4+>jq}`?+HR0!#SI0hDqa7;#!w{ZB7q>1a0ce@ z>t_i|ysCh`x-JksOoi5qAJABeTe6M!u zQlC>?89e*CW$)^E;7<0nhLGQUv1%lWGFT~Qczb-|x%-FeyyOvr{-){Waa5JD$P?hh8mZlq*dIym*(LiG=^d(D-TB!bTF@0kVO2Fql zw=LmDHq>4Lom8cr#F3F5zK?kE{s4xzya3Yurp*ptj#qVGCf6O?XT-bUyWn~q+edIw zeTys*Nr_q&JcCnY#lXyyz~lv%r5QU@!Ih4dF$!^@FuV{Lds389B0$7#1Z zLVjj^M(r-ot5>(tI#)(W#~59(FU9U80aq!|@)-A==BTkV)|@PGK=Myfn2&prwuc@` z`R}(4`phz?$`Y=8*kk*p7k>o2g?Y|(pH1;^1C%?0ci%QxBoO7d-Q8H%R^_&**U`jH z?1fjYiBlMG+lIvT5rjpl#$s-z$=cl7^Shs4?)XSX<=aV{ze809wdrj?KX1U;&V}LS+4t(Q3>t4HCeEbQ0Ktg(ogyAp4X`^qXN2E?eZdX70 zD02S&*}b|1Z4%_2R6a$J!+ywS!+wr><+C#v=WD#H2qq_mxUO*@2}E<&0_lnCXw}FK zLjQi!yHr7lOd%5gv;U5IN^CM?;(n)K-Fjy!SC$2bcRw;hZ~&a7?nYyb$vQA_Xr7~x zU8$HoM5dhXdjX;QL)iS2ddbC+s0;nqsqTPp%r3fj_!ECe$Eua zfd=|ltX~t+vplek3EM=EUoo#r^mtAXlthY@oGi3*wlW?g5Udl7CHF4Tyx78VKZgWl zHyrq4x`ai%N8I{E@q~hm8DOX!kDifz!s*QBs^nF_XvYs!*sH%j?%F+Cvtv(b4G$+( zKuk~ET+r#SmCtk6$x8&fe{2DMxE-staX@9{Tv{5o@WS&e+Z?QJVkTI9(P@KZgsP(@ z+{R`jCW1Dc1~TS}ubYi&1dxsO-W9doInd-;S+ z@FWsrc8RQ+-1RkL7-Z{hqZyl?RBu{BzZU4eClbzHULKsB+H}k~`@1}NJ)dNxSva~T zaIxaWO~m|!%ayPDIo{zyw+Ka@Ayq(M{F8Pxrkfc&Iu7uRX4zO%0KLmdlF)~@2p&IA=eS*HnHV}!p$%WK^VG$P{a5Z6GN%4 zAv(6))lUsRZM2%ADb$&i=jPP_fwvoHqUtw-`!&b9_2-Hf&}(%D+qr@gknyNB$$2m19P^&u(<9x6F$&aukZv8d|_t1ZJsZN)Sy1H#2Ik(`BAxRcMns z4OAn!)T!~!aAND!^@hMq@Auq>`0P84v&Iw2Fj`jcZaXF*iOLZ2-get%jGt_uITX)7 zQm^frmEC8@?(n2wLZVKJ&k%6*t)Ch&<5;y?J+Zg|>6k2$MVIx>cB&`;Nkt{QJ@A9G@j9bv) zZeE!n8o_#U_r9Abnw){7Cm^baO22efJg^{~ceoEc=wCWFY?;5AIk}kiopnU?#bofM zlS+u8Kz+)SfP-OybJm?vH$pa%1LD++UwJppd4^&CazBf%Q~+;1gyAcr$eg^hMjch9 z`!x4!E>%A`{T(3lY9q)o*{}bK2EIN`AI!Xho+IxE{}ch-0AhAq)oNyozuC} z#ZtRFxafz7@0fQ&A-t2I`_iDA=L zFO6*UfnKH6a#_lZv~VZd@V6ivj*2hp!I2$?+P{h`$P}Ud-dfjr4dLO zuJVKSeWn2(1mv#QquabS7VhRY!*^lcLvsVm-p23I`exlS#$>!5A8b9efqTa;r8Ro2gQ^3;K znTuw*=6ksVkk$4i-R`5qmWjRmYJOTQUu!*kF3IycTjj9~XgCSw_kx>w+qHK`j5-da6%hF98uNe$mGYqR~ueejY+COsTPf9_1h zNf=j)v@>*j)9_S*{4=959-Gxax1a@9@ftdr8_V>oWNN4QzO`e)87csFcL-`d=i%5h9h-V61JqJEV-n-c>VBr zs}+%&&+OVq3x_2YB;G-bEIQa+JJQ1s^{>ScHg4RPUd+ zQk$EAOn4J?Fm2aaBf;r!N zDoBc2|K>}s_8dKd4`MeDCZs(jaWb31Z5@L1MVkLOE-I)Qx%yO=&0)tzWa4F`r>yh( zY3}q;-+DkPJ4rX&x2uuCl$6YHH7sxI?l>)~k#0=XgL3h-y8aCM=$87XQ$s94BXeJq zE+0F&3ma0gGN%|S?8L~+mWEZ=%A@;Pywyd%$v97r`(?7j8g3NFrR%8WStp|LTJv3p%n*0RfeYBTYcHpv`l9cmF1PhnQp{j znxJshwmewx7RSN1Jw3Qec;Vfz6GezYi`V*J#Skx9>nOcm>$+wy2&}TX+}_{tiZK5u z*L4Rz@ax4D4*7|w-IzE*rH>}K_x``q6my;Bt$IO4?cn3bRjV*0HPkAE)>Q4T4$=a=QRf7R? zY|Z$E8w=8M?kLpCW+;9{1eDQIh?)vgbpsH`F|;z2huNJ5>Xiu^EY@hwxryA37O$QF0irP_7Cp#OxYw$^XC;mo7aZR*)CH3uZmMdxhw_QQOf`Ri+V(|Dim6wb+*;jjy zsfZjWOIS%wv^>Ss1iHbSpC-`VH`cu^`TvacZ=qkPh(kGDL!dG6n=1EzPRV7rFfxo_ zD!1t7UZQW}I0g;CCRD1viwCccZ~7OF_ZMA&zOX1y66r}DCU5!&|6};5M@`MQ!77G{a*<1&np?ATt7j^*R7#L)QPRGl*?beYhu z*3D`~h_q|3OCQLa%u6WQGbJ$$)sIJaE^=M&Bd`xKxZOiFP}^iofHW~ZWq6F=gVT5$)DBYFS;=|&N$7%o z-9%iOm6TIK#}AYMxLuy{;EegiWZyRMAxD}BRnr{`0yGZ#iiXgA3C1x7 zHpPBxz9kgX7g9s{8y7mHG%_^5Nx71o9>ppXg)E#gen}b#I3c!0>O5ETgpU4KE|q3v z3w}Hz&zN^&&WhZM7TT4`}yfqZxx?iK_6^^^7|3bco0$6cYCa3cRV#uEo3YG+LaH4)}* z7o7zp3d0G0xDJwx06*%qot{5lP-(*40kP@1l$R&H*>L_Ue`s&p z{>cNkJSs7r28LwrSP}31g0isBMjQo{J4rTwaAs6!pg$fCS3~E0_htyJNgCbgrT9RM z&62{LseJ@B>E}iCo{Kz5V^%u17pPIp(EfH7q{iFCUo;(65o2xRZy?5*#qum%jMNF& zrS_gW0sXRz^MaiM0|oKPIsLF(eg^#=rleun`rldl7~W&eGK-f&H8R3kzbMTeU4KI$ z^WsZ_*>?anVA~BH$D0WYFP9JDNktJmWgv%h3F%L;gVP`n@Uy}xp`f570*7^k8)4`R z2&rPu=1d!IgdE0LWDhCO6n8h1$ki~fSO^ZA#zTO6m1D~t)=uqkMm1;XG!i3GysyPLopjYnQ)mpb)qr6{LpqfwdWPr?$~AdV@RXJPEKZM=G6 zPaW-0%VU65Mw>I0-Phs8H_+i}cCOR>3Jn*`!fUjEPMWS>X*qylbuqKa0?6cb={JS8D23#*c4pXa9 zneWz&a&>~w_rN1O^agEc4Wt)+eTpCLxj4ciuhC~(4c5c($*+{ok6Ok-{R3vhsXB(3?xK4uZeyw@c9I3@2-^i*jwykxDIx>}HU#8@R1-`|U6x$7yTS}Ia$uyq)sJB49!z>+WZGbdEGE0_ z5MxT;&$IcQ%Dt1cCCCMzMeU#-{nObpU8`9l*q@RK>GjU`d>^TH>%B>O9;g}g*Al#(VUAip0+8wbUfzO%qVUJkgfM7 zdZpGrR}Y{<&xzxXEFR|@CAFPYap^&K%sDTMf5M3-HAGQN+HLDe*-`K_rCg!I!eySQ^~qyOkoT=4x)W^O@Px8wnW{4gWo07E=|w(n^RnXsa?SQ4TbVu z7^R9snp6$G;x_Gx^*a&^`Skgzselt?=i=$-ugxotC>@vS{d-Nf(;v8()uhZc3FKx+ zA)>j+OpEEooa9G!9GsDBdtp%0k(!DP1!!_c&%)9kSxnVZ9z*evdk zPJo%q*X~~+SpMqFC;>J5?Zd8CI(AlHw@9&qshtRl2=JyD!aIDf+`P!d0Uk3ySUWcS zZ4r6+A+PcgX!+f)brX@{0No4VELXMyRh8`Fqr3nRj^430hznR=T(H1j!fjMz_MB#{ z?>M>nLqVZE9C+IwT~lXj+RPnYJaQ@-IG25L1BY3Fsd^f&#wiU-F!Z$3sMN?qvm~7H zb2W-g;dZpSltXs}c1RCly{EtC%>8xrq~j^=={-_BQud~;WLHOGC1W>&NYf#aM~M@rAH2NqMBG!75YD^#|b9S-x(E=V-$d zArq;4jjG6~-ye-Sl-nL99>9nq9tCORa!CDWw(w`y&gJUOqDZ%Yr3>OysWT=FrrJzU zh%u?Kfn#YYT((gGxJTRHT#=VZQ|bwShc`SzY+CXRe@?;xEtN8EN{`M;RL~%09}56Y z2&5ZB+oL6mMx0*@qL9$i2tLflSQEj*1;#TbbUm7((n$NT6TfXc=F=^zib0eH{5Xs3Lv;4@wU&_)_mIwj|-gp)v@l9uZcouMGxR1K?x= z2^AdwHoLceJ$zXESW;K>Vb+z^t=~RqrL&kR4e!Zr2lZ{Ge2YY~)+Rx35U;t85e0B< zk^^1Fp^6Vrli??4xY*ObG>NcvP)rR)>x_8HXyBXIxPM~h^z^M+FWv_mA_z3?5T{Q# z@>OryZS(|6lDuNCH(F5Ha4Hn#5XzlWAb9Qaw4%WuU^mk#sV z7bDiNa&hKtIQ)ee79dC(5V56B7)i`Hmy}MSGq9QZgj5b8$+1Gr>~r7@x1s-a_QrX? zNMsxZ1Yw$BflCZaY_CGrJY1mW9J}n7bLs{a4he2X^APU^(fc^AZ?x<(C6bC}r`v5>=N85{h9ihA5ZLUOM%Ah5A* zkK?d)biFw$r}gf9PW2a^oot%3w&cXF0bI`F_%de3A(rX3~TCW3X3V?$lI39Y>97sG`Zv83qa_%kn;fN^op-(1L z_fw|ZgDq3s=!?0Xp0*tSuaWK`^KxsPdYW*ciuYcPLdGFs-${Zroc0jrakN^O0rKokGt8$XfS?b2#vi zaF_WyDickX{5ybB6}&Ug3t~j5`ayesMpLq|g6Hfkg3|BbVwy>Q^*6^@Yb-)w4!Wc6 zu(GqKrUgT)RR(!qnr@jABP5v90*#L$DY7J%xbYP;vbZKa*6ZIy?2(&207}~Zmb_^z z&J2~j2{bIG%{yG9D5MM$*Yiyt?Mpe%1US7U?`rM7gybXRsl$Dl@;KGIReIe!)%OcLSKXHhzp5 ztNoPF&h?}QQvEl~GgsgO5(qeJh-7qxqZteK7gnf;9yppjLLj*2{C6hn4=fTqfFgt) z`^l;H&U;$DFq2E%>-}L}i1(nX_YZwtmBFvX!=fY)zn>3&yiv;+@|$uROy9+8f`Hpz z;_b&-KuR1AT0jW6z8Y%sWIxY)c$k5$5OLLB$)mz4;fce*fdryV)DxqoAcb`Dx?^UX z{t7xB)9IhkYtM*%Mex-0LIMZTnbY|Av(R5Mwe2Z8Y}CRR&4m>st%886zau80WkTzGQq0S6%Q)U8~V%cUyN#Rn^eR z?Y%Nm%HU`+mI&erz9Xc?Ko=Bh5{S=xUGc<*blT8Pb1fs|i6UNOo2LZcE-qVsD?5c*;H;%DF|H@7MHR76iS^#csa<>#Z^JlU+mI`7y~U;zoM;WYGZGc#8`i{pVa> z8NcRU#o*YljCauxn)iFA*%DKTer%utbat63J?eh6swm@CKTwOoiJa(mj|$WM(42lE z6+J}l_KA-zXKS2FTHyo(Y5XZ-y+=d_}01gZF$XuPGKKC0ZxmD70l+n&Jk6=p2vfWn!d%y#)5OQsR@LR;+1u2Q-QDo1` zy(;H0s4Jh0GI+ahu`eFWYsL@2_CR^zfJbCDbks;?nplciJE;phUwz2c`&ZUVB*N}U znf-SOvZFW)qQuk6N6rURk$<`eU_0gwL>g38B2;?G zZyX5^V%JP&d`W!#uDEj0NZ&G%!w=H%@Bu1Xq6NWG+W%J92;|F%SXJs2=MKyri_NLYJFZS}l{_=%z9 z<+2pj-g1D`48Fln%oa%hc@hN>)&L0rOiNj{lvfQ#M|y4$3+fwRtG>3cx5p@8s4ex+ z?Wh7k7^GfizqiFZtvfEqfCHos!cw+Ezd~kU1u(88C+w^AL zUwvCXa3o$lQ-Ypn1FQ&Uch!v;*f(5eOUao6U<&q7+Thz|HAa~_q8an~x@6Y@dKzf< zJ$Y-Po_^B6x-<0Bw#mbWh4a&je~eXN#&c^}gh3qiksW#Hj#cVXo(5c<7oFLg4y*JT zGd$QXC1(<&l5Ld<B!cUDq6yurUEI0O+iF)XSyDE_Na&r6pnzrn%fr0?YY z;@w2zUq0j>O3v{bPd>Czi`N*v81(YrBoJ5>$b|W0B`XUdxH3l)NTtV5zhddT-0~~3 zqp#g*hAZvXxp!IjMT_js9=DfOOV%cpRkgrS>c;{iu%>@9pseG^$U;szOe@A#l;RY@ z#*#4oSQ=z%HRgg%DoISwlNnnP!;W2gjWIO0jVa$iul$H>r=wmZMK7{nLd`o|k^dkv z$EvL%Yh*YRB|W4_O6Qk3%P*uqzTuh-yL|rvYl)yz|0KWW;QXlE;RpkZuO3MDek;mA zv5hF2te(n~VltvU)Ol5RX$h3V$Biv7t}za)nxiu^s|0Z5EMr0BKi}#PiJj*NpHOIy z!iHj^kdQ#nQ_di`0xdmG(p3-}U+}Ivo05z}DW)%*8d@Kg!-hTjW%Xd7Y0^MY}9%N1#c}hawo;>J~RL7R5 zw>SgSsyVkl2kWm>&AN*&M=}#Ti{f?%2YDU1JZ#ZDGt^atF^!;KN5Bdf_dngAD%-?9 zJd|t7gSjqV_MF<|>YPE}tuSTGeZ9ZcO2Jgjn$}U#x+^-7o?CMF4W<@$nZ3k5Dknd& z-$?XWf(sIgMO^a{2y>W51RkpeV^garBT6l27Gqs|Ru$5g3fHeGSlGLQ2Gt!_6$=Bu z)3LHW@l+%# z6Bx9+X6EyZT9>G^5{o!H{=m%HHMJB#N)GhE*gp5dr@3s9MMazngL2oBH zB`c5PY^z$H*G1yY*DEdlda2|;<`20fnmwVLs|V>wMPW)!CF@1xr4f-C)7blP(=f!{ zWjMe(1B~UBTv6H#rme3iW(|qhyseFFPegl0gapyd%Pfg(W}h*iRmCgZFM(Bio+=E# zJG*j{u5$Lrk5BoqaQR##aB-F^F5<3tu z07=^60wHuTjf8d{SJbj}`j|XolrZvv|0S_T{KyZsBm4>x2%33+q*ZZ<_O+?mOKc6A zS>jO|+1y?6$@423@$N)eCU6+yIdPXyM%g6P8a%_PJlE+3+o2@9sJkdexV%8s?>WWZ z6cHnvqV{Swkbyrs7QFJ;cFx*bRg7h(#F{7tMRVp#%zmG6Rc(BTglR=!8&yiu$rSE( zHh|Os{tdnMoKhs>N0OcKLDY_i&NLtNme@?!NgLk261{iBY2&i0j*#-sgWw@C1;-5) znw>OyU7mm$MxMpv;s6~d$KvK(i#kpKy^GvGv9{pFXITV9g)?NFYy0BG5IV^N8pL4E zvqC3v-`Dh*T{i9bg;l?X_y33{YveL**r7SAy=BDr&;Jn+GIm`jC3V_&Q0`+`emdoQ z?5a=0fBRPb?!LYi4HL~;Ah?E>;~vG1;l|<&PK%(wCxK9G;7u3Hz~nYwVDM{moF;ONSdBlG^?H2ob{C zDw90MBxWABhKP$Zb7V=TtH?=C-y4X!pQsvohvCe$m_9xIJvbw#YYbzM7*c@}$;mKI zrtnX?U^Aza^w|8_oHAl`pVg^*%L){f6L|zAw$dS0!dMV)WrP_mv#g=wf(01+#n$Ce zM5?88PTVfm*5q^*Z^gy-GmDgT46mC;}g2h7&OrUgB=RnCNXW3-*O` zjVSvKoNYu;ucqL=!B#OXF1u3JpbXiTPp2NCr=20czy_H}{Jdmrv z>$y>-$76Ks8M(cF;otGSIisM5(n%bpYA+H5Sd68n5dM%Z^L5Z5R|OW7xW(M1`E2e< z_yMpf9gGP6vdBy=OZDdS7jj*0iE4hIr`tc&Odu8cPX<3#5QKuiV#t_(SSQ^jev}(y z{yyW1(1-x3iNgeXhsV67+asP+IJ2!^p z4|$tf_xAxD7~~b;V-k;LY)8}u3{iatgU||Me5n_{*IVF{4wScH-YO z0L@z`M96e_TX{()0D`kD_oJ|y7gee6iiF;p5L;h+?SwGLp*`~*DwnOcY`2sPW#bu~ zfMku6W>KO(*f*li^vtj8B8}nHHs-Poq5M%rp?291++=MJhvWGjA5KR+(S+@5mzM7( zEewn+h1~w&{||yIl;aI}h@_&)0&{Fiu%>y7Rt*8d(M;1CfpPQ?x;#z6_($uQdy{Fq z{GK2(+2x3Cua;~W$GmDlzz9Gt+Dhe#N3y1ptEJf)kjKa+^Tjp5{~lNaVf%1Eh1BKW_F~hTY9#)u#Tl}z*OwT| z_h0(^NX!(;ghU#!6SG|Rvret(Z2*95MtG%{Ki6HmTWCj6svFI_9!`IWD2gz{VH}!V zM{p{GYHx*-*qP!}H0A!oT|6Ly0zEYMt0kOf&8hO+JjJvEEdCoKT$!U;?=TjCf#B2Z zjI;BOrL7!@l-cyz)xig1CHhHqx|ol^h5G(f2#%=E-M7IVih4$^u>YC*kNn@1v#U-p zjVfWFiUFoK!GWEjKuWS`?s|+H$B$fC(rC$G>%FGv3U#&aEL2`rD5&w+y#662GvuFP zzddogh@T|tipS=r!X+oZ!*x^Rl0^GR28KsJW%o3y2H|;0-lF{~8Yc`7ZXj6vvgS40 z7gA#6$xf(6rN6kJ$!dWnw!^Fc z$^}Ta&<{}4TZ<%>1n$acB9CpRCWj@v%V(vxW$Y4o2OrO4G6}S6vXF3eJW{zyB@vx zkbZG`pWL3c0t}^^L_sfZYbSz!G9+9+TedN zqcp_9K=n`Mx4R)>0RNU2anR{Ip9Mj%oeGPmhKY=f+QXXH61qWug|9umf|kl(i+hG% z&LXeNk`d5z!-dM^-j;1V~04hCmb|jSO^l=)U=% z4eYTNpE`nus;iZXAuY0V`yX3&cUme?5aFF%vwV=RtU-9tk%SGDj`owheB23T?326q zp?kV!^nwC)qm{3Z*!|Qh9~mxhpu0{ zl|wFkxBFV7_P$*S8}hk?jz$FZ2%0*dQx>AhBTxkM&VbcP!{NmUBZ+`IvViH?_asM! zOB2xUbqu5FR&ESnd3D;=xmT8CvboXcWi>|1(u#A=CP^hBRgX?Fe6_rGEI2wA1IR4$99lRV{X6_Sk3 zibOxim4YJOS3?+GYLyiQ4HI}u(NkH;qB^iVR0wLsT*{yd{40mo-xspPJG<%(2TFd$ zD`xjBmNd=&nmcsSVS$t5>%`MCBz?q@7DQRmo0HI#K^uc{0&dO70$InyS@S!8%`x6i zZE#F?(zt~iggKcmkExbT76FKgPvdF@mWllv z)%n4~N@4kKC<}D%Yk3=!r{dM?ZjW)ne#b6;)kl3YL;%r?XyjUy^EJ~epMC*7Me^!1OR_KY@bs<~e>dtG_!L%Z!5khoWl z|6L%}X5A3VNZr&GaKQy+JlkGG&ovR&zHJ4ayHc7)%Et-U?%!luN%`vdL~cH>(;r6O*QphM%68)FCA+P@+_CnfIb$)Q=(o19thXV;Sp zK#>4#Ue*=9$GadRv4~8Yz@O92lt0i8NH=DWY0w0PFhnW~WC~a_2S${aw>)AybB+dS ze9iT1n~nAp)V?XR+kbB$Uyuo&11*MV`8R7_tDV`q&)|n*`(V@z2IMZ)T~J)tE1rr^A>O89*K-kcncg3Vu7*%-dr%Ap zPz=a`rJ3Bm5C6y#I)TWXEG&*o8VypV(1fK0FKUJ`idJ$K+!}aqA5b-1D`t#*sKgrB zA>v`<5Hj7w&}DOTSJxZeGs#EScV}qRvOySTh=7@4 z(Rlo*UHNiM?D?w1T3VSqd*f@9fhw2HT*6;SbT3)Q! zl^tE6foZw#$nVVq<|u9g&!Uo2Lq%vtRTQdVJBBs%B!>0kLw&4sLl%ESf9Yk$NLEA! zoZ#zmNU;)T(VjY$0rtNbwVNDnx|7vjqu!v{8k|t%e0~+*eB8LP?w}r)@v&L(jDO37 zP@q=K)iB|#e;8Ll*iO@6=UB>I8XKw}z#+M)?R9D$5tC?=2aS_3Glas{0*rdZBLTCQa5~jQLPx#JdjF*~a#^AQj3Z1dn8Mi+ zczIJhGc3q9szDn3D<%~=NaQwr1g{cabF=)P;ZP=^#R!3Yq#ZN;?w@GR@Pp)%iO=_Y zd5584cKN_0a%Yz@Me=nwjGhApR0S+*vv|%Gt7L=YQ1(T0h}2j7WX-F_81bbQ4NhR^ z;jqm1t6v-b3NbLt8U7*$qy&eF)%0|{2s(&Nk_D%vN3WP>QyqTf`o?lg&VZ5}_wQGC zpx-eOYj0_6e74fpHO;{yKOv zNZ62EFL|S~L`SReGM)<{#H2VMp4Xx(jVR05)G(lKM>M|;@{`&E*mh|Y_k$^JlbFv2 ztCoHn#g2SPCzGMvC7qO7v;O@P0uK2mK_U{3p}-2d8Dc>x z^IwXnuQ8P#on~KdY{Pvy7(l|CnreTRF6`eJDvvR`HsuJh!;=ac3*RC0v0I>P>;we^ zic^oOv#=Pg@IZeZmqgd!;l5op8Qt?8n2t2UL;W`9K;6!6quBOA4TooHBZnr=8|jY4 z7RQ;Wrc11yqzI`Pp}cg z%WbbV033ooQ)ZHh=^h(0rn>CR$2Vtfo*I4~(Sx~sN(CgXE@F&HC_`HdYEA7l+xY0L zVA3uWmm{0KiF||V%q}Y`Fo)<0P8|?hMKR}PE8%JGHBmr>C*sz>tZvV_CA{iow8%ru zgv2Ag>&WQ1``Bs3x9YwEibi;TIGLD<9Rq1nFYYPE{Pqmwtf9vA1n$8>;K|U~s!c20 zPz9W@#KS=68ZHj=E6Erq8|8Qo0+10B>Lq{&_)Z**iN?C9)m8h-58pV(l^LOn&;$lk zNJKNpBvEo+Kba(;b*a0PqPg8t!N^6W#K#a~ z@=ON&w&d^T%!#DL?KT`rAAgt7qIx@6@6rJe!#~DvRI6?77yX>8ueinoqE2h$C`?8} zH3aIu`8)!zLep?Ge|1V*b?X%fj2z5+R=>+=@x`nv{{>DxQ3K_;m+O~$UnPy7J}1yq zT(V0t9ffj=P`vt09`_&Tqu?XgrIoP1#lfA_4dHv82XVOzPaIc+r@>a_E0F$SR2wDH zlM=%!m_1@-js3xz&5E6X6hUOY&d&mf*tIwOk9zly2EKAxGu6puA1h+>7P3GkaIhj4 zZfWwUS0FAp7EIqtnTx8C*E@P;VUzwu=U<6JvpM#QC=L8*lZ9-*cOt6V7w_d^%#$jN zQELRto<55}?v+FW3n7?`n&s>|XoWIG?i}RX9HuO5Ln;!Sgv`yh5epJG+I0#s`HOXi#3M<@;on{b z{0~L8b!DXlkpL{Lk?|4ywI6Ae5&dTUN%0BxD^hoil8iE4rc9aQeHaEto0%T#?|-xE zmft0FmXp;HI-S~NSm6Gr1%P_;Ut_N)(K0cu%d+jGl&sg2L@dhwJq5|s5jg7l4L z7!gu*hG5>i9f6U*Z-3Hh3j;1y_Lbcr6;&Y&He`^n(@jbF1m8t=R9$gFO$6W)>stN; zg%Z|21xZr`4sI)xcZO>1TX^%0wt5>OTzChoXM$QR0^mA-9(&D5aR4J0sYW5-X>lkh z;VRlx0Ca`pG1S}6cC>cv1icwWgwE})zM}bL=28yWW}Cbqfz47hD`>qXCQKHBAk~15 z)2;kRW^5TwqgrEru+~U+0`Dp7G9KOMRus4S$+_?X+&P%7oC;e~5{h{5kAdSih;>{J zW$}Slh*uhvALP48R_?S!pz?|+^`uOGjtEIkgJN_*WQeyMu|vj9nrv795h>HjDe*iA z;?527c=s1}wby;|H{|}7N^pd(+9CNRK-59wzK!j86t`7%*C%9qn^L72)*FUw1!yP8 zW-`X3$4Gc-HsjtM%;{pC)szm*$%L9-&Uc1_ zIoVL-arFBFYTw(v)WtLn1eu3ZackW@0i~d(Yj(09H-dWS~b;kISN5lk!3%yjI>TwF!bie zA_~GvjX+BR5k*?(Db7h_ zMfmc2+~nq~KI6Ij%JsTJyGKC!1`-eMbtP*JV9*7mW93aIBXaA~C~5sTS6nNkZ*MkZ z6jn7$x@n}B8}%mT$|__(A2$W=H_yHW^(1Reell+R_qBq-NyHb>@_sqM9FE&xa$k8& z-tkRsD!X&>j_dMfeRreT9%dF_ezJQrL}6Snv;EKgO0M0v=0f{^Ic_4fH2mhMob*ip zWRrFMLJJn;{Sjjn49BdkF21yL{Db%+MM?p@2k&m$?0|`uH>7*HjeKW5+6_jSSNQxz z&#RPIBkFKo-Dk_v)yHzl2Cu5kckN-~Q4Yh-Rb?Y_sZO}W&;M%iVxXQz#^N_rPjN@c zx-v&Aa^aXT?R)u&e)RY<5la`#6^Ns@5r1_|m#weD7gZ{pUAYR{EZ&GaJpa$ktag}G z$D-!MM{ub8n_4a_wz!l{#+^L~p}u$NgMImf93c`(Cnjrf29tEk!P;k;8?fYdBXL~_ zZl3J7K4@>BzVS{cqK3=#v5K#EPzqlM%E2+p3ev2p&U*sj6sU)&JwA+W#;w1iEi~R2 z3Q^;V78@ULucin@2~xzFSM@p0-Xwe~FjzwVfkn+kF{LxoM#XJ4V;tFdPk`RDK3>oA z^9he-h-Ht^EdrVTS^Q2*HdWtNn~oRbm9LDeS{*mW6z7Zr^xbx-E`P`p%b*RtS-MwW zxT}C71^c~yIoyO5@U+q){=JSG{7@gZ{{|B1Y{n$qmIo)!^n_Nu|MG~M;IMEuFd2Ao zp3c^VNFZ<~L9kV`hO;NghOD$eN<#x`O8KrU16!7*zQz4Lr*1z5W#0awgpejgVGv5p zGJbwgJ6m{!k%ZjS(f{|#UP(3xgBAS#RA9x>PSN*|Dg__&-6J#kuoWBu#lCtI<-l)G z0|-j7tR$=0&WNx)IR;KGm%R4dEcjsq3sKUQXg?74WeW*^GP<>d>Ex1F;s%D-& zh<#*Zsbk)v7O&?**=;GSq=k0^POLQYnCnUu4-}}otyc+>dbyAtb1d9rz7a`_qu?7* z7#sTD{cty2SS;TPup<191kUV}K0-8W1!MnQC}|Kun#|a1uK~In`JzSCz%bf~KNdWR zZO+Afa|b*6+uEdMF*-Jb7<^=Ppj%H9wKJe1hoP+ab%RB5he7l6jm>4`) zElW~@1-{Tqb92bxL?vsp8>T0iyC(l6Lr=I2L-2@2MZ{l6*J#OmcL`Kmt?w}rqS!Mf z@1jx|U)!GP%BCbij=_DVtYFV#dnX?q*13PQ(Y6J0?$sC3%_+x!p=kLf+Sd!_^eHy5 z-Fm7iu~oZgq^m2QH%0bxnP8Mu4wkAg;wAA8N@{^pvT~*~x4$ScL;8CBV?$V& z#GOX?;PZof0b|%F$b0Dy%)@OLxE{5F28q3v{G*$WKrPkcH^x-In3{CxsFa*vaGWFN zsmn$1LO>uW^^$vXXA`{Dgc~{DDBME9zpUIdTIqPZ5kZkrWGUHHZyF(*i0$LZLPD0; zo%6+D2DrlD`NcgeeoTiY_=`W?Xsyr- zzg69P&)Mgrv-cS{^2oP6Yb}+VXuq-npph8q00J6vR%-CUSI5in3u3QhS5}pzKU0nI zQ@!g6Y-I6e{%^;R))RJ6G!%W-yvU-y-SbXSC7EoLCA@Mj?RIDo>IFkFEsRo3+YSeU zLp+L*-^u=LZ;T}>SN0~PZ*ulc-0l77e)&T_1s>Vz2JLzCqf?ow9!(ZbY+@f`csr1G*7 zNC=Xse`;$vDwUY&*(w*QsnIFT=D7aiSA>hGCnzYjrWgre$)03N^O8xM5Z2W8s<8)D zH>wgdBV;PoNV}H|#UaqqhS8<|7Moi7QJhkPU&T?mCG&Ut&x(qeBvszHLQJV}bs~xB z5$Ml9-7glfQ*sWjHJMLEZ^^^?^qv2|1clp zN6o!)t2tljjlP`Qpy`ZE4Ez%O(*WZ1?MIf4x}}+#knt>XqvJF!)8+l^QXBOt;O9;Z zJE1{Gg7(t3>Qxz{s!sFkx!Fp~;CV9X&r+)Wgk8BJI%aN6kEnrxJC#+Icr{7X>>Etr zh(nc?h)!{{n#I5-S9f7EhMFmf6fLI~5pIiVPdcD$0gP_hynTJZ{@(0$D)WN=|#o7#(q=aR$luxyN-=gd2oljw=mISCCcClcJbubq!0Fy% zHMQ-!#)PLb%D+h@kS~PV<0R@7eZ}bGaPl}urWKc79+#E1h0=xXAF(($H8|9s^ul$d zrp0qPY~u7G6s8kvJTX>WRi1>OFM`96)j4C-k#A{ZFc(v&25ym0ZC5FVtAl%9keNK= zX0T64_2dsOV$|tnXp5fJAp2g%kyvaqzJ{;%*D`(oorR=Wo#K0L%JHh8X7Yn0>=$hi zA6MOWVBN=Z`;^@Y{?_Xh0g0ie13oZ;+5iMbF9Owqs5Z1@z1^4(->EO2_+_s^^D#xYNzku2n{)LwG=3 zHX>%a8>Fivhn=$>O@?3ltiEHrc$UZ}lP?6yIvL8KiRy5NM2XH|XByJO4~X5aH5Znr zG+qCK4V{|k;7SrY(8#qN(;c6UX{=vL*x6c|fT_4?72i1{%Ir;i7f3h$E?7W2-fco* zut8YMVW%PJbEn$;=ex5w?&X{Yi)JpU1Ty{UJ>Z`}r(TV;^Ua>1Ulgj9aPlX}s&aU}))!~%y(@>C{-{(wQN!9szVt?zx!9Pk~mZ}UY+q(H4-nq7x zKwepk!{NowjUYR1m~Nzs+qD2?ompE+<2RXZdO}{(-;B$e0iZslgd|UMNQ`N!3{XbL z^R->CPoK_@u|Uo$@Cc=INCg`A^`AC`*-E1m1T*ouyG&XaZk&`#fk_pMuVHr4^;kJe zmjXw5OLF{u$5EecXAeN*iE%LE)NA`%Lwa#G(RLYrePay~e9axMV5C3<&=p;8b zP*479ldUb-lz~*+_)oZd0iZ*JigCH|<+xceVNZe%xmz}mYr^^`=c=X-Fx0U4QJ5~Y zb#TH_u`^qq$RbzZ8@)H1bvoBLkdQ2SY%e1}2~noP>r^ivw`7`=Wv{2)975A&WiE_AKFy?6V7(6s8&6YS3k((JOL5Pmv0%a|({-;X)i}ZV5k^q#tqZ z$AO=voD?_m&1juEDzb_Cd_Rvh*3*LnUGC4cIKp#nO25R9_w) zu1|1pK@i-zK1FGaLdm%|ZtG&h(pcGA>+6}SJrn!>)Yz=U`&D{=S}vhGDU z#xN*U*jWPUacKtQA^1jimoH4#^6>ECpUz{?8nVoYHkS+zZ;h#70{obb^9b+t(ffB^)7S!*l7Q9Xa{q&I z-fasB=O`>vRTZqD822MyMFy7-#`63jAw6?+ZMHkYn3@BOvt+7^^11Caw*+y6S9NS` zq>>pPO&q1$zca1uLVtKCGa2b?C(d7&E7B3BHZkjok}!pp*DufUiW?mJMu=QNg4&-g z%UUxIW9F2}6QTxa-EOMQkb}*6+(#Wqu2FWVUW7k_=@zS-2W(C1yfz+EdZbLZHSnud z&70zu@3i$le2$*68{r0GRlb1vkF-K%hyFP|jv*h`V7gk>YcY_h4pBbFz_d9k(SoqA zy<|v+NwYDR!{Z`_eidAmV`@yyYvppt!8?5xk9cLa>M;VTtv2Ija z4b>O^L&~Wfc<5k5)d{AcNaypZIKH6b;)ql)2_@&T?*_j-Uw=~`Elsd;E-pxA*e_`t z=3W^~w;qwukucK1bXZ`&{Tt=+5OVDvj2slpbIUXD!y_^PE2PSfS*rLw&gCzxSc$Q= zRCidug--lcgEpTrVL)YHnu*^+!|7-9(t}+U0$XejH#@xJ=xj@ppT3&BNa%G0T+6n9 zVU<|0<6eJcDDxi2S~MO+t^8mF=k#ZUBvWmCL;E*>P+!^8&EH!hgC`dkFM1t0?pwCwI9n40R zmGOUH$&^C-{0ol~*gEFx1GB3;>?bYB3(BXE%yQAmsSLKdEKXX#yS_3m^f!)Y<~*`X z)EYqxXQd6rqztJ~Xik?Q?XrP5q%U$nI?2&=O3YQN0o~%%D89 z<~uqfDC8Clrf7njv1cA9HO+Xl|L1jA1^QqRy$KJ-(q<{cUP2%*QNREo3zoV~F?`*t zh@Rv?{(2X5<|Mj#Df;x*X-xTnT7gnZiU5uJEr#otFNM~Dp~Ym(zdtUb&vG!U=KU(( z$P zFM#i#kK^{rhvsXZqq*6X6sKngH^Mq2SGSG3Fl*yqCq}8G5nxws&laZ8ZdRxoC)b$6 z*Z*BP?%2pU-7ZkIxfC{r#%++8W12VlDzG5R4>!~MKkYc3ti04q*vKnLzy(}iQLZU4 z;Qvg_6R`-e6{)JErO(7Uow5x7W$##88mk{4j}y8~PfsVLY##%G^8n*@Y-uJYZl!}d z$NGGKYVlMSzaIO7_=_5(pn zz^c$XKmRg;tT4WjcPLqii;5_)T-k^4$BBwETPgv^-@Uh<5K-Y0Ig4>=gioxr)99gI zF%O)ADBStZMsQAQ?0fON8Io}CVw{qYtWT*mOPyw`B}Ys~Y*CFWQu-`A&z{*W& zF6L-Bq?rJpN$g`G_G?|Mj~uSPZ{oQ=yDq0T6<5z_bJ{2#`HC)H@B6}@rWkMT1|#uy z#$$l7yL!D_bokum!};mzqvY1H9Ij4%u_)diRW%2ZP`4vt*$XWIGmYYTvOgIGI!RRB z^Fjn6pv#4fhh~XLxib5DWX{_AWfxV*U(e#Qgjb=>J?YG`-lm^kBb8DkgetmUs5)ga zB`Gj5Qb2hlw!O;{y0Xx*{E$_6%uvJnQ@q?Jvh<%!c-n9s6LbpH@@o+8$ZHJ5R5M}A z{S$C*5z^~pxvj4DG+2Gt?32(mOh|rjsh(;fVyVHm-am|W5GVWx=n#214Y9TsxQF}* z5cE?yI2h-=DELvM2IC#^MSki45>UPdu?)?)%Y5w5L3qmL+nI3LLTB{3AaK0W&AgkK zP*$p%&0Gvg^woxyhH)t^*+Z>(f8lZLC24G6k&8|+y1L6gd>#+RgLvA~84xP>4%E-y8o+k|A1Of3{<}foultDPdvf~wZVN-Vr1vHEiPT7d7@eJ9vTv`?U*M0 zhybRjD!3*++*?E~x$@`LynXQwXCp%%=XV0nz=2QNtXGGC40Le^0lm+^$`FHpa5-6{ zFQI1D2H5h5nr(NEwXFgoD%h0RrTJKhnpXt`+f$Dwk2U+5?}t2k>$nf5(2aA+UdD$} zA+UM@N{4ugM6h%T5;hYyR8`Mal3cr;pG;mRdr4L=e^tV+c*A6>n+iI!Z4qqmo21US zJ|t!*jtiU~jQE|!3duxnN~jxUVQwToTE`OPWi`YeuEe=4&ixc?Brl42R8*8Zc4q*n zpov;<7(36QRRqb;EZ=qfi<+1U4!CXh-xJR>GS6I8&xGzFr%__-7ScEkzDSoSsj0kMEMRl2l5a z`^cpejFm`Cr>*pRSC@#ARJ#;BbybV)xrm%hxfm|5nJ1h;=^-W455pnc^xaiM=;ERm zg6%&fT>0a$$v-muqCot^rgXpfdOMd6jnp;V_fzjj_B)iwmjY$z*}FHn@2^{75tY~8 z)AKw(OKFv%WS<1I?vP>=(yjhwPYW=Q%StlMt?d^uQ^oo$O<25;gSOGcmAH0ZE_@_W zZ|i&1pNdF-($nx*YFxK!hlZN=s7$)sC7zFWA_oDbVy%MWfQOB6jk`XYTnX7y%;5&N zhEO+I2qScg_o7fO^26zNG||ZfNI^_$Pn=P@tCE%MNftn|6zTM_$BDsfG0<6E8pMV&YqydJ_}#SDNV5B&@+zio_D5| zFB_FrHZ~s}*nW191cbD}JlUL+I#HA$gpON4U!Hn+ErJczo71SbS&8-OX;-)SJ9L*d zHfE1r1zJVvMXdFz4%%WmSW~Q}%ksTC`EZigakFxEst2b*u+k?Ra1umVHT$nTQHr2i zEk1Y{>=hj2X{F|Rk|xW#)pG=}04m091=CwXN)>#aMJJpiEQfiK&e^!pN1XVN4UfE) z_tb4yQgsR!Z_MoPJpw=V;0+HCzzyJXAz%>;_cQmiWHHnH{@zPoKO*muwXtNOV# z6>snz9DboQdBdYhG{$e?&4_i%SJa!XAaCYxWqhz300*1N>)>jzl~eX9eaBGtgH*$G zvhn=`fGe+2OEMR0#tP3%!Z8A6P7o4Fzlx zTBvwv3-ez5d~<@)?98Fr<%|sBTK7}uQeNIp+;W0&h9NjYRPOmR39zpq zW1xV+EO|zPn*kTF`P~5mO=XI9cMZrvvq5rMUHr;zbWsC2$8A%QZxf&hl)aW(7d3d! zG;ldXnXK2(`cxv)dj8(VEH%e*a+kY!#>?7rTH%fv$uyt_rvOvW+pHQ(n+llP^RJ@!5QxCH-HH!?)3u)?SeO?`Ky&(E^46tYr&i%UmdIM|d zY6TnE*f?mMr`tM73Tg?6@Z-o|Fbq zuVAk>@5z(2IY6~JlvW|+amL-em1`=*;~Up`Q_4)Lh5(SB(C49`K{G z>*a`mFj9p-R4y5dad8OSSpoV&mpy!(oU3*Q1wFk~B`voXs&V{UHaZV&#x)fA&xHM?5_p=Zsa7 zauS`m%1T-L=<~fwF5~1gQ<4H|Hb?sN;9f)rU7@~smhMwKxEXXG*Y&J`JVr>=I1fRD zSsm(BQS#@=u>Lbon1}qaD2+4qa^@xIVo4I`zY2#0lpXHemMd{Z)A})9z0tnuW$~{& zTaNleVo{{BtY_j?a3B`!U@BZp{Rlsqe!A)l2tx9^G&y@3efPcM3ji443;GIr9A^n- zhwTVf(vBx)WmM2APlt}`%ruUuB_uxorqCY=h74*})#MC=EFun>(h9i!VIHRm?RZUg zG}c1JF}J~;;UccGMPI{L=cF85L-S2WzgMZFF*0*8w*AdzJrej$IRV3#hhJ3Ph0wXKYU1u1#=<;7S!lglL$)l}(3K?wDUb(R)wRLZb3*c>tC zlxzhf1syemgK2b)NrpIGI;5Pc5$5r79TRMT#YVI!wkyMuJY7vG&-{d%vnRNm^0VnPMe`qj zljYr~l`NaRwF}b>r2)btzQN9fGDMt9PPnkxsMaL-wSExrX3}U%a+D|J#n@FU1C2BB@qC1OxA&$# zGRg8sp6jf2)#JB`?%$6}_>$ztkW;DAS(r02nVWuc0tz6h*o?MXGlyxzcNtH{Ji5!mlJ zO}Ujqbg3WavkT~p#gi0z1Z0(PSn_3#GxMI@KmmU9{|8-})#b#irmHF(UfO7;U0wa+ zotSK|*!gwK){ZaRf!J=hfMI(tQWOjK>oMgq4I_Tm=xLet-)2|J3!4}d9~i%oyT6-7 z*&Io!xq0JD-y4HnIL_hWUul>|3%a=v_0R-1*=I#Hf4j)nuy_`|^6TE5FHES0+G^qk zaJujTX5)a(lXB?5!CI&-{ylsbZZwF44dlB@|-(-B);Zy zH7%Tt%USFn2AnB>c1&T_k)qc>?xm>gZg~!T{o0BGrOkglEUqlU1S#ZHrIf%grn=^^VUDn=xpQevaV%8;Ku34w{3`)`MaOUjCOy>k~KU)gL{VD+2 z8mggt?=$nP{kUEGOcDHVtCOe?zMud^9Z(C<7z1vP>)0(>cxF_WzBuXdyDNhC1t%^O z2r##on(mnI!iOY}c)P7xs(XC`ipx=cIHHpZr`W|U^8ixpyKl-w^|U$p)zZMFOB`=3 z&&hv=UH9kJkvOv{z>W5sO4-G2ZX30` z{R&tf5c?5wM@2o0dTb{6&E>`pV3-KY92`RkkkiXpz{SmR_#d%4;i0U&Pw`xP8-7{5DD-{w0{Zq+$pG*%Og*j|G4;m1I`qgP}l-N(hRN#m@TW+|x5qV4LEYx8}8 zWvrNLw>uK+@R#mW$$x4ya?)2D`9!|#5t++~Y-_DFVjlP{H8r(@LS4##T_+vou7lwvO%vj=nh_iJ*zZEMx(73t;bt zGw7w3cKV#j27UgV2kzme$esNHDS$59z?ZI^kqo*Gr#&LXE(QEwKzasf*7MN&%tyLQ z>EZ133=v0ZC3VovP6Yu+4=zxlI2E^rw_VTvSc4m%pWGnDVd=>sKOlOQB4UawtTN`-88y=7c1>kn zoA%VyHPVKdk_wc8etoK57rq=LSt}4)x*FrJ04=YmI4T7L9CFLlMH1c1LMtgTVe(_e z+?@&6WM^(op)pC%)kiWRB%3_E@@nX0_%bW`MmMss*j6qZ$Mx%8yFEd4e#ETh5Pab( zyPKw=w2jDq9HrU?y%uY2dYG!4Qd*AWoRs3YU!@XhY!;;&pbIA*%M}a?3KiAS9b983 z^$?UjujN$SLd&9m{ED;EZf)98pAd+Fa@B?G6Z#{h45cFT5-tG?<(9Pjr-UlHdt7Za zy0OA0UO`|6-E1w49-EbP^f#bO0V)-Ny87St@)!b}gF;%kz=X*u10H#C)w_SeMmq2a zFx;x^m@WO|(u$PeVW6Ix*|NQ!-f&Af#mR|XL%@*h!E?E z1QefNZVZ$w2_5J#KuFKj+}hX8F^w%1-vZZ`OWvghu_*-VdcEhvd9)h4`?kBat)Bj5nwe1_?WI&gez$MXOWYA}DITWYyFP7p zmo~S_*}ooUDg=4;X?eD!`lD%d!uDN|AK#`Zy-bqJ3_3^HZw5!RjmGaPD5Q)yE*t>n zk8oPSq$#P1yjgIh`OgJqV=VZQm895sVmcIqK&FJ8xB>o;1Tcu81i9oK6DiphDFJIonRF++S(fnW)s+_S8_76y=sgh|`kFfr&6%D{o< zwMwA1siTCnwwIRFpwmT7MoxHCZ}k6ZT}z5Wbc6&yT2*;Ya)*BRKIWTgm(_FC1M8~> zemXAdKcN&QXOrC{3;E3?%3qX^?NR+L!%_7>j7(N;9GIis5%`f1@4g%#6coD0;>O?y z@A9|0|F?06%IGUW6^h8Tjn}S=^YcibT$DO+hlRYeKCWn!SUdc3J5Wjz zpSgm?c?_w)-wA427GI(iyLf+dwG{k&|B88MxSy~6t#uxc?(lLe)C6c&B#M1OvK^*-2K;|m9@$~JTi+M7L6MR(I-Ew>UuB6?oD_7I}oWg63_ZM zBFi~*bh>jVBmhy>INH(WNb&PLjQ+;omeYd^tyd_*;EYdP-sW$22QyV}{6-V+Xuk0u ztorpBgFv%TzqrW-_vzj1>ynW+x#gFo(szwuU$EY;9lZ*2Ln)@KA)_c4ZRi2ws}Q|4Y3FW zha1Axx*$Gcvfxi-BgLOng3XC<)!9|`er<)nb8+I_iQvojV4<>}$J-_)%j|L?!`&Tpl$LF4N{{ zR3G^*Pl8?C%x|(=3f)!Fk=b5x!6lXUNaHu#*`bAx;_Mm$Cw?9aLpESXW2DY}-f*-3!OD~9S`1KB3nMKNwt+~t9-yV?ha8#?Z1&ULy7X7tbqT z7B`hfPx3#1Si%zjWLWW)Nx=thD`jX^tBz$>^|FDQeeQ41*rp_75Szql^F7Y?R$sn% z?kf$jow*~2$oFehvQhflHagxc)vh<|LVBA0WTn7rgEe@2zOUP%#K|lF-Rs-JsA>73 z^-#LZRNmORcenDW(fAXku>x7$bT5(}Ra#$SDlSdV>lDR=jECRz5 zn)z!Adb&h_Rcem0pOAQRaQLd=RM5*d+ui(#n3#43d<&qTVJ%C-B0_YsI>TC%KOshJ zZtICOZ1yiqgO(3L{B~rHIH!{96I^Wnc!E-$BoI7O@ExL1#RSKoz4@nojp9oX9p9Q5|qZfjC6jKpZ;nY8EnpRO`BqjVhx1(Gat*3~C$(fkv5c<=Y%t zz5+!RWl8&)Y|B8V%VD8g$`N&g-+ek{U_2!#1buZF%;Re}W5WLGJz(Vo?w}TFxTi@` zNjjE_v*}@>I$vC-%t#yl_dZAxCK;62qQ>EId+S&Bv)m=#q{{q?SEC(AP`6FwzmB$3+8S59!@=q7| zfmVy33{55oceOC<`b4REe#ITR^o--#tYqhc?&H#Qoh5=t?&UYFPS(FTZMXPe#4T?h zZ&nZ5a9Dy`ml}!b0~Q%xb#_(Q@kIs`C|%~FyncDg$2^8pF!)L&m`-50aX7Ogn)X)t57{3Rf9J+^5H-sVL0$k4C@7*4nffoN6Bym3c0w8_;V1oh@4dCBTUa*^R>KpP;hGtB@l?N zF+ABxrV^3NPybXWXnkocExq(Jop6fTt7yqrTNsn>0NtgslcPX~?F=ba7Q*cT;raw@ z&A1q@+FLuHl^*xwV2tRmh>r7}i@LaxzqaSz7|}eBXDvz8TcBf2X2h@0%<$g=q~fdQ zH86zTy`9D0O)@YcH~!+9OH0ePh2w;BDfr9KSY13!ubh)Gv8680Z3>WJ0)3?5#+u9< z`A-kLf5?YG3Zz@!+{Y|tUD+MN;2k4*+0989Ro6vYtmRaFO55b$vwEx~Eu57TU7hW?x)hTN9r^SaZ$EAnhj0L>8!I zdgrQk=S<+czF`xs9JU>FjV|RR0e<_9mc#l#zz4ioI0~;plzSoetjs~|sPjzk2)V+$Xx*T2hGCA^H;=?7f*fd=-TCvi1>F7y>x7{bxM3Ii9Dabf= zl;k7bPjgAF`gloKmVX!i@|MMTLGzr|l<%v#P*oy_*h-<#C5=zSZ}P)K2fZz6ZkUr7 zyKr2ZYM~CYKIhjF9=wkoG`RRzU#h5U5^V~);*KRbDb7;?Ey0H~t^RY7jeU>~IEa2{ zHHx%OFzz1Dr61!wG#KhI@>EE(6sJMFb;fZaH{Z)=!RPfUP1vX#i8_kI{>TDpy4w;{ z?LS1(`L^xkl#!U94J2U3lC5tafWJIq)%2%e*16_1^axtwXo=hapu2T6pAGV!f5|;3 z!R!}Ye_YVME!ZICDk}hRmutv+l<`EMg~P}~fq*8URSS>GbGG&1b{efLN|OvsOfLNG z@&6<{7X8h1WGSF2-|$a_^|b4p2p7Z02-C*iHDCI2 z7Eykc-Jxb(?pG=r3L)>+{(=g*F=-2L{Vx;ic^NugPS@}n;|vGsb-5t6GYe@iluR1w zyC2EFi(s+w9{}R!M5cijn37ZmaGs8h}Z%y2~@lTlEFU!Myf0= zVzn(&M~Mh)`11W+v_}Hih7!DXQ8s39FT}r1Mg3i}$Ldyjc7ET6L;)BkQVF5}fj?lW zQfjK)W>c*9rG&Z9?JoPa2WflP!B}xDsO(xCO!!Ous4*LVbkoE)r(uQHf4f2ENdjT0 z>oKZw`(t5J3Pz@{nz%D zOB8T?;qr6+9OQ7*Q<9cCC!KyBqNb&^tHS_6s08L?do9X;I*&3jaI++8K<1?SPZl`s zZJ0Y%_wgML#A1gPRPHJuj^g{)+oINXSO2Jm!LXj!-a;v`EPujHLbbpk@U}I)%VHX9 zujT3!_FP7Ev5WRt*ChY6;!&8jq!1SDhDuU+2IK*gffs?La|En+5ALF=r zvsyF+b#+Urt6T#+N2Qd`5( zE$9}d4UQ{XO}MOby^jwxL0_5Ymqb1x8-bp$Q@=S`;VM?^j{~YP=(iL^;O}~RLOqsz zE31mP+fzxhDLY(jz$vzjitzlZr){CGDfsVs_}%w<(k(^rkXkF7ioX-n?ZhJM?PgE> z!}+v^tI@}@*wXBOSpcL4KsnLvXwd!Y0IH)1H!o8#QQZ*XeTVE`@xo-A^w3ME1P-(D z0G%hTd1>lYsPPWOWepb&0S1)w0cM2R{k~Bf}-{IqJ@qkeg@Q z#nV79?WLT-jEFa)Veu zs!G_CuybjW5b)L}QM-_`{+GF1P^|$V7#Z|>zjSh%1UaG=QwJe!wBU=Q@OwSdeq6GJ zU%|xwIsM*X!lN?K=Ks%quY+Mdn7j+$vJ!P6M;mo=!A)uA?=TkOD!wwa93~*$04x^I z248-<$6udYtsll?D2}!-ToG_stKx~a*LS(3w zHV_yIVVdwUnD+xvyI05VyjBg1{6jM#*=lB*l87PTnb&Q{cYsoqkqSJFn@h+A=iFU( zrq!aH2TreH+eXj^x~ffeeekk6f4CaGrlrT(`1AFX;+YmpEz9X`I2}m+ z1iN&2N}mV3`Mn|c?5;ty_ae|J&+m1|%>l%&E{w9RLl&}S(zSH8E+EM)_l;yA`yzh5 zE$v~0r1v&_F!7MX10f;rtg(hel8M8qwKbPXu$Q7Bk&6#NMMa$@R3~i5XOB0aW84cp zK{x4!%k7u#MiLpQgwl=~(HUzIb!yvD-QPRotgcon0`m%gK#$DTNt|8<=TJmUn>cQp zksr7~fGFyT0uhh0&zASM!FW%+)kUOeh;=xht-vHbd47HqABo9n1?bH9HSzxJ&XiSU zaA`7u>35TZ!H%=)-)6tnDCdu}jRjW(c-6U;vA`xbEmpZCIPt4(z1?WIhaYSTZVZ6K z)7Rse67bZdrwk);4@5znDi1nsVnx-J)I%j(8O7BxzWZc6u?$Rvlumw%(`0XO0`pZh z%0gYD2rUJwugK|hPKmD{2$=!LI9ye(JI_xAtjtuGwI++OxaF z;}=TBV3ZV@+l`xuW^|kVP>6tNOmLDPyZbs`S%;OX*Te7k!n!{A-B~5c%XauPCWb^l z#K&`(neY3(Nl_G0pp~|-<-PH&q&h<%uU916#ChVx^h}tB4sf$(G!6llL`x-Qs^S0< z5b%-;ec{+Zj}?|DcsY(S^rl&W8W%_Uv$FGbM+UJ@h~!6fPUYvKuY?{<85lIvRkGj6 zPGw!X{gr7_^|EQ()bCkJVbs z@L)+?UPh)L&7gJJqoa?Z-sBI3hb4*JGysS{1eJ8J``{@42`3qB0Tq;=G5$dK-CRu1 zxzDh7o(DJ1Ep13&h*A+i{*3M-6;-jpwTRnbX%cW9 zt^jBEkHRjXR~M>Kh9JK^_t=2OVZ}4vo{xH}$W#vh6Nj@FH>84{k9;8kXBGI+yue}C z;CaA4xzJ*gg(*Ast!TXHe0oK|vdXa=H_XbpyD;-ucSJ&s7PpI1&5f2cN8(_5Ub#pt z+Glang#6d;w3^05HlenGf;U{iV`A=n+at;}0&uwv$ng2zzcPW|))RkCzKEBwyCF_H zsdt9iXJChc* zO23&Si|Uk9bEBsc%ng_q09SXk(s+WKAQ7Bw-{us}9P?4n zBO)q!|3;ORH2DJkvUA%$DxU&AUu4tudUjV_Q-{KZyt~8My6u|1F`vR-xwZzDx)#O5 zXH;VE%N~R;s*^mgBM^}AlfRUSzselm@_UmLjOXyM{q{P1^cj1^;|<`l*ZemS^io;r z)KZ)4XEwL4zJH(l&7Cbe$U)B}Ni0NKubfOb8V5IR>}+m80Smn2Ba|Usc}i-5N#pSf_X82fb@;*TuN#iIHmK zMj-LoGPItoHpF6e<6FC;nea~k9s*FDzqIX$3yTB2@RBlflRuB!kg|1f{*~$}`WBDd z{Tp?>;!e$>WRiZcsv_sIZoh!|CA2BChcYX&6ZZPGq|gfYQjH6x@qQP!F*CsXTHt$Y z7yB;=lctQPJHOMX`v$rX(meV|-);X*TqR{S|EDvnFi_51;rXQ|%l3n_qsgadD<@lO zseK6(ERCk|thGJpE~i&>H`uA+*f0f7OnDDYy-Iss#~d|uXm&SmJu=v zU2TJelfK@wJ?xL03eowNdlIOcES^mbPNf&jdfzg`q zkzv@E`IaaG`?_bWGIZQfyzY!rHKaC4d*5C1W2xhgx?Bu4(BKKpGl;Qrjov=d1Vhdg zwt?L$Fbkg+cX;QAma{ybHh89bO!kv+YBjX;M0wVfSv@mZ9tRH?y?EsL@Ldugt=p#~?j_DY$#`J7 z?|b|cb^aF+`k)C~r}!8;&>9}yj2w#m=WnccT#My-rckA9XlZm;yvb$bzh6A!*XqgR z$Q|}tCS|F!qNpSA<$jEHmfPM8Ch^SqBuhwgfm zOJTTfWG3$5N?F^^lr0uB>2Hw>R_UL#DA>M6m!B}D$}ZUP2i$ZDF0#8J+z93g z4tfYSG5yk|;G#&o6mW~cL(pq}fJY^;f7IO5^$t72!Tr{b#IGOvjZ4?dQ5GflovgeP z6gOKf9#2U=5~jM2yLRjVC%(Y#)e<;#W<+wO($g#34$=yN_=fTr`2=h5w zt&sTUx!R9C{?WOzEGV1o1^j*_9msfo4o`@zH%(kxER6Q4@IP?t``2 zsXLwP#tW=Ny_&IPm(rc=4`YezG zFSu!*iLQMYD<~zj?gbj>}PcZZ^;7+p-j$9`8+&k**Nwh3JTjs2z zEe!UWsi`A(OBE2CsaohOS!v}y=YL!v)aDL}>eyQae@U9x(~;*W*CwNmp0*UW$eKS; zSD9Z4ke9(NO2?Pl7CLoATt<-vppQ_FoyRhM%Qds5I!6@ zF^S2AS=i1KBVh|pY41+U=Y6R&o3LH8$VTRY4!*30^SVy31bi4qDo4PlgRr(R|2KYZ zPPK7>7Sr>I6UYhb+U}?S)5KTZWDs%1X#-16+i`kK2*I779y76-zD1o=T144aS9Jf0 zxs(+)l~$C1PoZz`osU{dZZGTNfzog$YgtUU&kK)Y8grN1zc|P0t`G;ox|jhxWC5=6 zb%WOs6Gd_{yL3~T$2R|;5|gEc9Ka~V*^akNrFuv`xxa*#%8@Q~9H$_KZkbA5hTt07 zXFYT?POJKOGEA!`l+O%MWu~GGAO6uY%d$B5$70=}kqwURk?OQMY)R5=PLLII*@<%O zmjolzqI7arZ-Bk$cz4}Ts6=Md%XY@#?q1`#!iwzfmA)XPXYgSkm|@RLao)_*0_*Er zpA>=mB2zYAw6|6N>&g~o)i}Upd~l3ik4+Zo>#4&UH=Q$7^jq|vsT3E_<0fW_`S#>> zjCNAS*iN6VHm}yapd2wl!_0Dibanm2c&BHCC*bj)Q-JT;G0Bdz9skzzer{lV$@R}R zes~a!q*hKcAqOkr4fy3dQHfU2Ug?wM^+PqveCjMmT(2^Xd9vy8&kZ9eQA3AsU-|cB z9ceK_$G8I6xcf|xq{r6Lp@6ewtrBR+1d~3G4)1tUtZ*2TNxxtPFvU#(ri?7`D60nA z25M&~J$&`i2@5ulyR$=#j~cNU(_QuqAMD5Qw2`_B=m2mc-%aM8lkOP$|{&Ga0?Vw9s`*ooial^VT3sqxa+%DqXSh5$UezNOA9m&N5TU z^7DrqLBK#PQJ^!2-to>M=MXIGE<>@m7n3`ec*+i_=CasPtAPa78?F{PSXqP$ z`0W#^-1niNYYhxqMdx}@_0{f9o-Oh9D3H~uhMlTAb;`mDD)5;SJbtulNi1;CwR^8* zX9Q1jc+mV@JCi%*ctk0(oQtVy`_2)!*lYBFV``K{8I565ete##n-3SNGwG?Sh9hrF z4X2e9*{D^QX*$K#k3HZ+t1!6iO)M4yai5Z;&N$g zirF2|{D!^amXe9rejSn;R9c7fxSUD)1ah;d0ygvO$sA#z#^mnLb?P%Ec*R)!L*t)f z&yMa8SL|V&?!N?EPfG?*ZbeonkPR}MsU@4s33I(VYm`Ojh6 z7~AYJVBaLh`)w`F8ZYm!2V!WLCha&1X6wh1#`GLN4>qceHV9_rNA_r279(gdsluvN zpvyE-Lm8N9XGnVInmHv6>bX&K2RqNnODD%9qFM8|=_qOomY2k)S0G*adU1DWMD8pf zk-PWHzHbwvYh`xW1~3My=|~MSha2?w^NkNL+$yX4ZBoN}Rg+nYm@-Mz;6)y^n*1$8 z%}Me=vj%}~Os%zh{IDD7lvZNckUpXqUr=WPR<;(hz~EviCe*%Y`uYj&6EXBeGM%?G ziLj8}vDh+*jHmDh%Y-|0pQcoCQ-aHHPveTL(EtUBV~}HJS&QYd1}S1yzcP+ zP7Q<<3uM=&!l5a{I2HCt0$zzJka40<=V(|g5rP@h;;@qpytzpR1ddsG9~y9IWGRm|xhLY8NEyHe9RhdK0a*{!Q0 zCKkej8Bupb_Zhf#=3b~YQXTeGMmFeFvJ~vVTVX%U0k)f*0$#yaIP&vsG<2y+OBjp_ z0vS{^R85kc@rUI?iQ!C5IUauF7-_gDGe1{ksbp@Zv5DQ103YmLgal%L-}06Ow|3GdLvvP?IyIDMK@!}yeqX52S%QV|#LDXpEv#tmgjZt} zJZG59d~7%-!rvQI!HRJv%KyQ_$CyZLQs1rM7=nr6kcNQ<)K8kmFFbgrNcO^I>iy(>%*R?bS9&M zMdBS_B{Y|cDgO%a5IVYKi6<_M-hhVH-S1DuGd7~XnOTtJZ8T=)bq6eT2PRR?XdJ-b zW*%G!ff=BQ;*$=rDaG@$9L0~v> zuoGsZ*5Ozk&1|bL=HDYa5tp?bZSe=+VIm< zV0*+et>YGU+2LkGu~Oc7BZ+X|R>q_hooD3wyxEuF3zvHDE{fk#{@8i)>I(3D6f|*r zQZDuD$b*)`*>Q%ANantkK27x^VTOlLGCwc&G3LCO^511Z15ThxeQQsJN?iYQP=}nC zusZ>zn8polOFB_s?9wsA5jPYclpj+OKIKom(H4!Ps3(=7I*Ba-P9<%niwRYs;{#c- z)9}19eq?!)>%OTiUxk-Y!65B2(6z;yPk8wp};?A`7O zyuSx1n3-f{A`ZHSJGR!$~0|XvV4Q`AJcq$1P_l9{ih~`Q@5w zex(3Y3eawMy{^2sc19bBxWl{sATaZ^?fc}nJ|W&cs?9#qQ96GSskL!@1@8RtMqhi# zCyF)VMsv0K3&v1A?M+Gct0l=**&3&K5@#mm+N@NIsd6Ey?+)@dimbmj;nFD|#HB@p z%TaU-|+ceJ9 zUts||xlY`G*@C*0U0oS<@~zKVGVch&(A5cGr~}@XsZ-#btSuJi?2f6JGKcFpsTP%m z^&%fei3Q7xnFJ%>moB!Chpo*8qBP2=8#wMQPg|I7L9d*}O{2nZc7&V2={rL(I%U`v z)Ymw9!hurCH1{#3CUF38?$-AuIYPv#Uu_opc(0}xaPu@0#0_bWDYcqUaGPOe6$z$F z0zSDmi$w2-tRz{m|zte>b|HEpaMc8Vn~G z_!{73$=8R{!oO{b={#MO13TQtqv04G6%bLGQu_XJ+Cd7ls$!N#!nYa9X7YcyZ3`@Z zi5p_l7w`)iemrhBzT%LCI7Yq$9pMlEA`tSC70*3_2r%u+qhxjNJsOHK8er}Idn0RT zVb6D@!*`75wtY*dX&QBmO7M#C?;=$_Io2gLr+@)IRD0rADdjcJe3JkHDk)Abq zz~h5f4sv{8pny_}?fOMQN2iWOdlxFU7I~kwgtA(mY!~TIR4zTew};J10l)I#)F7iz z%z8GhFOW|MUR$j)EXHE@E@J@1#6*)Fb~JPzA(tx_4@bi@KB(kBRKnh*D<$=Y6f8mp zNfCj=fy#?D$G1lq+Y|8C{W%o&S}u-SIlf0khciS1n+*mz>D-I|kmF`n*<15lPi=R}{T7&N3;)ALe?v#>svX-?Y6({+5Xx%iI9aOc_bZ>C zH>a7mS|j`Mbf-zlWIuC^xMTo8f}5k3f%E0RCV#i+n}gQ17ukep#rdQjB#&Oui%P{I zfe8Vjn}0r+UC3HYh1DDAnTNB8h_)h{AsWEnU5Ss|g>?I0$ykd+*R^rZa`p=@r~r0% z@7B}F2Xmrc+~1l|qCxW8WIcxzeSB?yDT8oI-#^c>Gd`9q(|VP{=g}C85XAIX^gfrF zbuH1*TCdw)e)M4fgKoj8 zt+;LoH)-U5eP2y;N_Ff?brC+~)kQ2z$0r(ZJVThFk5jVO9Ng-@7mA0YiA2XvR&o^d zQ?KtcXZ=ES_d_iXwK7A>qx!!V2P;l5RCAJ2GUBGzL4USV%kpkGbF9>Uo%pIST1y2M z!jwu1W&mF+NjjU5lYUZW=t9}^-WIDLnZ|NXZ`@w3cTer<;0)&oGeHq)HZB_-XU9Nl za-j0}fJ8Vtw((AaaGlSMgYnE2r)O20`ceVA;Vm5yJ#o@i7BKr%Vh9(|Vh%V{b%>d-+Fq z%g$3zw`I_ld+iO!niW|W!E)>h9qR?2jL@(>YjMbHt4Cs>F(8}++P`v5l1RjDkK_F6 zu_?61pYfC#2PRsH3{4*alyWAd`PX|+OohQ}Z?C#{LW7ajfV5is=RZ1=Z)Hjs2i{^h zf*~fwgHk`ziEGbHF`$BoDjRsTHgUf@p-Uvrj(Xh<9RC4JOYdmpv9^d+4Z3pJV%<5M zZ-Rzr-*q#A-(x~Su$(vp(A=7a*-c1*Use|x3_u9`5!|hGat#|OIQw9ot0O2I=}Qta zZ9rJK-^a<=)QfRA(kngtIw9zI3&AF*2}*3{<76QB;vnuX@q z_WUoRJ=Ur3#^+WyiN%9TG|PKM{l~{y?#P&6F)QLrJ+v2{{g@Wir%Czoa47m_Q4);F z1DV;TA7{*4#+LI@8|H`Ci^g0yub@{Bh5id=ScJO#-*f=T)njW9SZ1}Ts{4ZGmPQo? z!-aEux>6CSsgjhzVlmu%VJbwFWSC_YlF}a*q`f-yTDrtpA^SMMQubQ$Svv!@#(>q%Y;x>k&5|fd`s> z%k6QE+OI>(*V;h<_N_4nV*ky6?Xus0*xYF|Q9wO&Z(o?0nq`>Mb-1O8FAXi}Kb)ax z*Ym{cl!tvv+M)-i0C$BcSLY8Vc3611v4+1TzxTcTLaA)3Alnxl6|>QX*D3%HY=yOb z>j|9vc)(7efnkK8&+BVzN2W(%!hwWHpKVJF9A-xt~*j`;qZdPpxBbOG_3~cCM&wx zQyFJ*03UhKf$-;9zrNZ6wq^LNMI)yWD8jJqaeEqPPCR~mqHF4A>nSr+RmI2o+A;uP zX-t7#c4F-4@f+7_rtSRq?{z|}17#tB|9DFeF6a}c>`4qCSymZxoCzM%77f7hDX! zJ^XWJz;gk4?d-dC7fsn5RRCnOk^Z>()`<4?lHDo(z=fLY!u5uY3vlGg0WibYiNla2 ztZeDt3@J)lWQ`;{ra(HVq?}A_$ECA|2j7L}2}$u$gkm1f#3o59pil!RZTr^LVpi?a!}Xz| zfK~y=Cf=5wnvpE}(Sf7D3SUQ#O)IPA&3-AyNX?zRwj+RjJDnCjh7G+90~aozKT_`x zIdr*m=1su@m5Dad(?;(!LH^hoc+Rh7j1scQTM1HF$hR`o)If5kr@NZx zxDk1%hEK<_>D@xQG`5^G?3eYh@7^6b6|JJ zU$YJ;F1mfjKmN3HgFvf-XY=15i(4t7zj}A!QmRLSLp>IaN1H{m{zc#^WAcDH(<#=X zzpEh)hi1(!5uBWoP|;9@PY&Yw>)ZlDgXdxEbetTv1f_D1Z4!hO2?vjRT`JJ1u%Q=O zoe=MDZGs5jnvNWwFeDOBQ*%#VZO~gZc5=p>Y#HSDQXUBp~8sGdUDH42T+e3lJd8y#@DQ>DL^jG^j}j z2Qox!PO#Z0a69g?XF$O4gl0`{boh5sAKSdzN#LR~XC$x|?`| z@;sM*PPh1ll_=eEJCsaU`&0bwc47Z8U~XV1%YR0Ouw;e3a^uvu@w`LYyfVPJS7s<} zX$;jS=!v5Hy~vTNV*sPje}{%(U9C@{IbZO;pfsVzqkmM-Yp|cE z8@ef?pWXiWDUPNv=lR^3mEEc>%xlhsZr;KofW3TB2Hx%aP9E^S0P`nP0T40|zp0&N z*OE*OP8%oj>Z}xcSl-iRcdYizTny^gSQ)S^R!uAI=$7c?U~OC5!2r5uBzzM&EJR3= zB6+{9Kx1cmQ`_j>DaYnlppzE>*>$;o!LE6cwo{ zf&RQ@u=$_SmkGso5x!9Jq!BH}(nHO|$zqN?gpgYw} zOC7Mmx_2?J;Z&nw6;P!au}!2hc+gvL08w{z$sPrYG2g<V&5H}Qb%kc;`uqDH zMqfIq5O9_a$GH5s8!q?uY6qdU6kgXgNq~;lk!B0YpRytzmDktLF4YUlw~CYiL3-hV-_qar1U6c#Zq?rzK91w8>!!7Ef-9vlz7F#>L*Hac9|QcZAd z+@@WiozlQOFLbdCd^`!5rz`$Vh|h8Ki81h9ASz@2q-6C>T0Q_+-s5aG->cq72QAE% z@99H8>cy$9BE=%%jB&qg>cSE9&L@gomIc&n$p5sa<6IZ+5rwD&=5E)>mk0lS8CF}0 znU32PLX{pLzlGoIe8>vH1DhyX5+CZQUxFUG(ER_sS^bis={-%=pHkzxn@qUa&)8ey z37BhX%aqOc>KMzmN#$lzy&HW$^Sp5#%&tADjC>V0v?#2oP_m#H86{HW7Bf+#R5ozJ zq4rn@@XEtNhQObapXrYL!%U|b-&N|&2UrECSOrd0&AAwBRPGeNXC}-0YYQL|y=zXg zWys8sJaayE_5ds%UAPVeC{R9lfY?MYgccsy6z0`-6)Vro8*me+RjxhFCQiPcm$(40 z5+YwQJ{~zf7AB4p-|prne%eD5Q^H|8>=(5iqG$$nUl_CKvC!xa{rPwD6Vh4p1tHpv!b0OW2MNZkOLXI z%1}%rUXxy!S_cA!q<_h9$RN4q^#nIJb(aexOu6!J8J69yu8<_OPuSudFRI{KC)Th2 zy|+T|0#jg!7_anwZcgd-`!y7rh@>lJo~A*pR_5h6n}YS_IRcwI71)>L)H5fempZ5z zhMRjLv$yLTF@YvGMy`ga;84xNLtG1lA=NZxvD!_AJ$te!^025nOqxNw(L5ihcH0A+ zw#Q`SyZ26Q3HJZkWeRsQO6)7H+MG&YI^Ebrd3DeMJ;If4%|Xt%n;f6U)z1)MGVw^WwC?FYIJ?+0qVcbDN2{y42v+ObF)X3i<;k9CRx&Az7}58%Kl$I6QBrU%lu zl8fTzn;Qr^WN#1iNbAIdd4xBfSRg6Cpw;5@L3=(r6S-aZfrh7XY_xsCEsu|fS<%*YA$<4L|C><8lg(-wRpUy% z9Q2aurcq72GC;Qmeesbfp4j~{_WpLSLA>1)?hA-Y7FJxd0z(81z?1$*z93G|VuG@k ztIdJO8I_LJW*sGA;S0RvxiRJmFl__0Y*a&ucUD~uZLdL}6f(PPLe^ZVeWZaXk14mR zW)Be!I1SafEIq&El&^l0ysZQEwGD^EWz1)ULx7&i8~^r%`(gU2zFA?NzqMoPCM(eH z!u}`Il&h5HMt|=ggaRb=P|n+-^Op$t20*HX@78Ppn#d^FBHFJ^+a53aCIlvzZIG5M z97q63$lC=n5u}o#r--q0yh^l;4~Oywr!ss1PI5kroQ}Y&-7sG&PF=LG)jn3qY8k z;)#I9ZO`@iL{eLUZ`Uc-ajQ@DXg7g^3&}o?{^i7}cnIdyk*NDenG3HDY;ED~Rvz!* zm2kbCehxTf$nyxi!nP7TiI!8Hd`g5wMBGe_@Mm^{>Ykfi)b66c!t|fqUOy`3ZLg7RxoHgKAqf#;hL!zL z%?9lP%4d1@aa-@ohc%{xnVu;ZO!B3!lffK^H}tUUFqT?LVV%wBR55V*`KB|*Ws4+2 zjH#D5)!AJNuPcy}i-nvFw2gBzFl46GnxQm%eLCRNtXCaDowiJ}N8i+JM5+LT2+CUV z{xBwUZdcvD4GDhM_NU*AUf12eKKVCc&|VON5oO>dI{jD2Am-;g=GIld!I!8TUCbHhpz653SY=zS>(q%K- z>s9*5|GB9L7-xWqGF9Fky|4Uzd17L@KDas$)ofOF>R;O=_%15NgWXqT{Wg3c`vD}E zbg=P#8#S%!4s`=KnVSr*Tb$BRIA^wx52xWt+D(>FNwDz$@*#G~dVVvd^%Lu@oR69* z0Kir-ljNb?M0;^ok|6C&!VTZ{?Hzu1 zB-R}=*NM}5V2rV%kpXfkj2?+8wdBlfHICO};}_#N+MgU&4Z1&xl|;Ss51KTTPl*3| z&^13G&a4Or4^rOU0C%9h6jb=zmO<7+A-=1Yy&T~rWEeaAVFMgri028u z_3fmNGwkhOC%r3D0;@~8Df{T#&Bvs4@W?o~b@>&6scYZh0EBy3J?&2d90mRLb@$;t zdz7617hAq3@xqPhzVa9BE*HbIj@lGLG)V~ygFrjM=s{z4^%qw$jple7Q%%gx2cWM;aY)vAu573VL+3Ut4fdmg z9ZY^#tY+Is>WOlNK|?>XMVC4|OWwkWh?*?#YZ7_0#X~&>^;$l*%GtmS8#0C}%1Zl=;wu@bfUF=1hCGY12@g;;_fA4DY zU{^Az$nWTcQ4YMfk`ZVt7^s!GYnv469VO}T3ST76;g^789at6vcB%Wr#F?m&F?tuj zB~!@q=(|FBcY>f$N6#IC(KJbW+9(w*gZ?b81xGAF#wzgZp#V*vwsz4CdmwzXEfE(o zgnuwyLpbX~4GVh1Ly?4BkSto*)0MwAr?$|-F}AAM5*QpJrs;7GLS4xg2?j-_O*nvu zM>Ts&Y)uYWF&z0nPVXN-4-~@9Co>RwRy!~$WeoccN*IL0X1}b{GEjTz^IITUp6F|0 z*cxatX`HRzc$Q)uQzsAXwaYnqbpX1mV^Li)h6aIa9W~i1?kLNXS&Y$LI{APEwf@pAY*|yEVXt45__>2P-3ogIPeIYZU(45DrX36&nOP5WL@>qEu^hxj#bX-_)(fEi4i$2I ztD@cnsg9@54OUc%Bil3dn6uuzCfFXWU@QT`@Q^*bi=iKJ`{D~CX??QE(`vsCu!eNK zCTqAMk5FqFpH;|1OAP}UrJ4$FzjSEIhY`C0QB=3K?3#}5{^I@IAdmaX3t$-z4a}+j zidCBvZ?;7PN)zu_)(+2#|D4-_7nzjs#Z=a z_{d10)VP@`PF)-r&x- zcQL|BYeP%l;HGl8^U*nkC45|la7-Nzy9VtdGiCBQV&P$SdlW0UL|;zn`>%8p&4z05 zhH_5O4hA(yfBSx#Mfsh%$VA0y{&N!#Uj=l5;u0UnDXqsrOY;G#u-ockkK5BWx>cVD znW&iU-pMe^A$f<^B;)=z?WNI369_;IffW)xiD=%)V45EMzP30XMSmaLE&u>RBO4j& zdQ;eM1Pn-7rquGytov~C43(Mg!zK#$*0z6vEU*tt%g zlxn)&%u*scj%etH?B})TU-6%$@(DjDr6j*$c7Gmo=?in`h~zoLWC5NEV|y--Jy);q zs(Jb`3^D87ZH_ZbKJ9Hl80O?wvO_;iVekY%GCEF0643N{xN^A0KTRVF%V{q>n)j+H z=@XNx#5ZmlL#4akZ=R{B0I!FUw!lKQAgF1iH|}{k)sQVQ4L?E#+sP+*2@p$wo&0w+ zReqsOrzHUM;cfvjo);4RSVf?#`P_ZJw-;oz1sHZKoq(k|& z&+zq`eb9ot_E6)f)}^Uhj+@UYNt{?u<whX!OHS< ziHzVszxcbpzUBjiUg~ih7w~u_N}#FDd72(oP*DYxdY<+wyq(p_0k!tjB#z;xCw0&+ z6Wyfmh-m9iy6MN$UOSIdQ*K2n;JiGSQ`Fp0oC3DRS|2_8ur~17f=yA_@V!4yZST@# zYi&V=3L2hkzKI#~_|A#+#h_{hHAgPn%A^3j-djh`k1O{-ZVO0eSMw>?@w7Wv;x+1lX4xe(tE_{(!v5V1oT%7*=LVo zxx0V8RRTg@hD5>v2ZVrB5Lp;VDdW5Ifg~sU5m+mBgF?L43n+Wi8lRC&i-3gKF57_P zR?{)Bd3$)m6AjmLSEh8ib0OCRppwK4+`-Ly0dlc4Y!U~Y|3vKPthwMN#tkvxv7)UVN+AZQEGw%Z z8~7N8y92v3K$5-Q+TtBfACF@@*=(l!nyWTC-eS}=!WI$j%%j@K#dv^S;2q*11EOceVI9jCFp(9ggN3s378^lOo z){p9&gV)WkvZM47sFV+?GYL%1C1XQZm;AQAy-CK*kRiF&3M#E-}xACiRe)4FKA!}9C82JqLU`dcSrh<`zDfY<&&&RvH!7_T? z+61st<@`(FNq6*;iG>qGcd#SDCBYiY6Kab%L&|wOjgu4lia41TDFo{D)bFe>K_?>a z!|+*RSbI*5K^um$pa)17?hXC0~7p&`t0e)U! z6gbL-W_?@E`{UeIg(U&JZQK|wYBD-knL6rqd%fnci94DapuoK`&SgSd&}XeQab+z> zqCA$G_8s(cM!1-0eEtTCN-I?%qY)t}#C-x`=Z3EF@x_%VbrlH%%Us8KNr?rJ$GNX` z2L;72)#tXC2l1P$#|G@%eX^4Hd;g{<8%~bbQ_c#qm;;NLeH4@pB?@(I_gdP{@WI3E zjIey@hNSD$EQdte8S!`3l&uaIPEv4y$7Rl~F!b}MD@AGhB|iNZx1RD8QOs1PIKXpV z8VnD2qSVbX{nP6fovGGA4As2u8m65am8AJ8fBp*hXd#*p|0P^H8uq|ZhWKluH+Qc8 zFwe9>bs@+i(6KUuqVkqjE^AS!;(Rv2tQ9NljHr_&3hH~6VCbe+ys5bs{EHSo?z#<- zA-S2Z)e}+UExUg$|r?!s$ou#O-Qk&&IC#7Nvj%Z2yiGD=T zaB)f^0e6^6_hh`HD*y5aodgemo^cV7xW(7?ib#MF_GcIPa3ndcBkAK8!iNv>cioD5 zyPw{MN5KovXGDS>`pQysJ%0k&7uZkp>l+fT2$%7HwmNzXyj|2iI<>A_KAmp`c-5>Q zRU{@tJPkGIHW2ZMqrIYA7+8npDP3sN`;tj|rNqD- zug9=?+*v8lhZ zeni2ABMrflHu*%=r()SD1c%&H^d261*AvMsbt>&j*>jupR7+vZ__}PGfiq?Uq1#iM zd!>x2-=;jS;UV81t7m;OaB&ZSybFxEiVI+U<2%?#vyB{@>tM#bd{$vJ@qassMWeH3X*z#Kh zkS2ku$fL0mObTnuINAf41O`&Pa|9botvoy60e0)|xMtyF?@EJXCnsecz~2BRAmOjQ zzVF5E)m_LdlJyN;LfvdD(>`i^&&;<^EOf(LX}y*pW;O~DVP{`04?$DQA6_S#{qn&K z57*bQhTHY@+!0f)sG|!~f&LDs87QJ2%uCMYpbeT|AnGh2?+P#hXU6~eSJw3bCpgUV zSCZ}@B>8JF+xK)GZsn=W0)NmdR{$bG+@8bzxpFReTaM$X6xf6t(svXPewi275xnhR zmyQx~iH1(j;ygR)vZCjJ=$dy6^LWoTq)SPuUQ5J(7LiJANOTd!v(61VzOV| zAJwWmRdg-noqIJEA}c_e#m}ZfyT-;s6P|hSK%(=jAS$)KeRg(}BBU*iuPrD5B{Yirs|#`Su~DsL0Upk1tgBqxoji zr~5fPV48YE$VuC(6j6h-EuLkjsMWIp%kGxQo@sPDO0b09zqj${UPMrDXCx_$#&5XoGUl8Tzzdw0 z?se(O8(lGpXCn|TE43xvQ@3dZvsyK5^HlMqBG4AVIGx)%m6FM&id3Ie_%t6>Pel{m z89fI0lSCv;xVPmfFX+d2t{2nFHap8gb7;0t?Sa`=gLxyb+=#^=kS8HWPG zsz5Xt0T>usu8g>-Y8~YE1Fb8{#Hv`_G3PfmwIT=4iO)|Z!PY2Xk&BBiW%`>>${4S- z8N8MYkV$3Cc_jrVVAoi?3AXe=JRrp)mmNbCm3CaIgdxC;Dm@PBXKyqGJvDkVB`YgM zB?DNUI{~nv)+I^VaQ`R>TY#NQb(1%Eal*xP5Go#he@Noa-mamh9=dD)d+bIyaIm0O z%5(^omnRly{=3sxUCYbu>eHb>6OA>Wr@=OxyVU^#T-y zgl^8AfN3dyt#X3I##Dxq|EpuOpfF=R5JUrM0-1+cUOhmhkxm*ZYFEFzj#s0t@E(VV zy3(yU=$lmk{Iux-hS)ctxm^dz zT1z{PL~dzl8aUo$XK9`Lg;ngltL-O(lfV#Vn?2K}va#B~ee5ZsOqZ@cDL+9S)fhSw zXaX>R{}N)0rd9)x;&^Z9=;|rajXCcIVYmxv=~nlf*5SK7-wXeD{WZX`7MXxpLOaJ& ztVKs3@G-DW5kVRKwsRRLzRaL$3fDl1hJ)X?f|6E!1jSAU#tKhTpA- z&6yOwQ^Zp-YEq7J%huW0x%b@Ezx~R`9#?FMFd%6sbd<*oL)njadb9TXyGL`#WB=ck z0GIdkdI6HAd_D7`GP8cyQ-2Yk6cdnDXZuw~^;32{`k*O|Kiy!C?H z>6Fne*>B*jjtz{*H%rr-9S1J>z&PNGnlTb+t^^2RBhK-WBxyiO2cY;r;ZlbYR*Nzv z7NC*+ruw_aVSY%*%k+D|g z3Gj1ez7Q*tE)@CUna}AGE7*!v5y?E_Ny9!_NQ!FARmVu5BKV9az6yaOQAqk<7GT>@{%;l4o+JePSu9BOjl!$<-j*Wtl zPTD6y!1w~&paaA*rU31puLV&nX}Oa+VynZ4DnCSe&X?)Gq|0cLz6+}cl|z9&1SDk0 zniOCZ4!A!MYkZ7DwPru7N>$mT2*D09l@Z5;3V6(?6>;^11$2}Z5SdfJ4r3|+$?8|eID?6>iZ2OYF^I3~JHvy5dS{mb{|+Gc@x4k#!8V;{L(HL*hsY{v znvQnUfE!drCBU1#o-%M@m7KZC^?$4Sbx`71A>at=t+dXrwcY7u9G`PKcd`;t zMGhG>0T8r0128?Yv2-aXfbJ3SMNR9rohUt|Q$^{uo%|}Ha_(r(U`@+HIvKT{kj~Vw z)e-?5n0gSFZ7V+$2Y_M?+5?h%i)O1&c(}L>L^7B%F$st-?Cp~iKya+XuY57@oOK)> z_|}wET*2&11UJALy9jeY8Z5IVm^r#jlU*m@sSTK*0BTk7SpTEK&C=RFk|aJvSmR!Y z<_*-4BKQNCRn#tiIvSQ}mV+z-)V6kz`2hJ)qflrc!-e9{S43@Xt zlKS!>M2JEB$tr{SG|~HfQJNM!cTiARjvz5ZI~7aAATI1|3@m~iKsf$aVJsAYC`?#o zZ1qx3loWB8MURZ#+|g?%@Z)}p2Q{^|9P0Do7ZN zq2p6YR47?Cj7yMTJ+SJ<0~yJkpg7&itNf0xWR|Q9yUGUX*axhrMS!n;(KUN6&+gj9 z+=ix>BL`w3Y4@4k&aMbRn(roXhO>QeV8`r~4FVUyxaKb00D-BdPL6#S!L4w+<7WX) z0#|QbGy-3^(|}2-ypQ7Uuur0-KTu6;i4W94U%TO3yVRbgrhkA3(XpT{gx*e%GIV7n zE3eIzyRPjR7yqEU(+62X&ChNNU!b}9=Z04}YEe)x3>7nHe8+q%iYs!~;DAa5H;_JL zDzwJWEJXv9!nwy3#=2?|96XXNOY(%++@Ss&DP zzkrq1aQ$5t6j3+k(2-@UW11T(uP@Is=hI1G4G+*xGtzyibxq#GcB#Y z*i?z-$1b_2rxYu5ZjCtlmyT#zQE!0=t^?+|lo#np&v@vwvp}0RSh` zCUt1IyW20NFE-R{?Z2up0VGL*y{2dWvWfs2&Ha~h|D(RIi-#rOvs0vjuD5`T-6_!< z?d1TdD-XX8>Mb&+&u-}cV>!TczJPW6?vV#P&lh+}y&@qZroz+~I#$;tFXoaZne=OA zr4_OdtTfZb)W31?y+%a+Sp$%28{?935*4x?o#w+GU$%X&pmNQe(%S+-+S8@Q!$$M_ z_Qrr_Iq;UeUVeNz%H(sThp(r-^)?gSTJKa|;-!p+$dJP&(vjg2%>CTh?0l1S%QGSj zm@+f>?IxJU&FW7ZN~6N&bFb$vc{-8JW1d*u!8e6YG{|jvx@baIN12 zKW~Ki`gA$9X0x?uYCj3J0siPgm>`A4V6<;whsG|D~P?n3^_TQ2B&o(+QvS^<8Tsdk?C-be@ z)Y7hZ9jr19V%o;8-ua1$;^BLg4Y-2LzH$condnsLwuB~w<LdQPG7%;^)^-(NHDllcwQ!*At#6}zN@9=Bc6-wP z`#<_ruHPKk8FQxxe9eoEgALj?3ZlThEu^NH+C3!|r=J~mbp5%z_M4*HO-N!8MYw@(=Hrrg1o5{@ru|$J@-=G+0%lf7Q`EI0CT1UFEe* z)4ZRDqYum&Z|4idZjD@H%?vBeC2HeY{|=`VjMBa^z~8GK@P5{2VfU;yml&LH7M7vA z)icV)+f~{e{J3~s4F4lXk82LrYiWZXN0%VUaq`S=hoC$>)55DaB03-YN5)ZoQ}PPl~wSyQx%*K&@O5L|Zne$c(Li&V2Wj zFZFcZySe{ql^69u1$*D`0V@}2iRa;b){ZeE#eg30I`#u-IYF`v09k2 zhFYnIyMyx3ovA{E2sQg_OMl_faTWy*%*>Pmq{e3KHf1&mlNX^(CTpk(Hi$ zC7a7LcK^WKm+IgG0?A{R)J`w-vQlD~=&+p@W;Lr@^iO8$OIJTX`w@Pf@eD->qbq?K zq5WoxJDHpu^ozaP>&@bG>{2S)!_dyLoUgRWQ#Xt9swM?9U(iT9E2|YSXk0=F7NKF* zn=4Ssvlhsi0X>Ae+nzp+1%-oQcO8b)b#|VG6?W#5K)pP!`1}1EwYU{9*dVH2?Q$}k zYSsWd)FiH*Yp-=+Ts`y3traVKbv^GpN-CbTNjly5+eP~=!mRqh1%PwoiC`;+acarOiY5}~zP`Xv=_2Lp$x>Oin-w~o&lFCt!H z7MDdrzKyb=0{#~-G%;GR!`C^OGS{vE>Ew)ZpWpwt=HvRWf%{bc{&<@1yzY$7kxYkq zd+Wb_^7*0c87J_oS`2C*|2oLe*<-Za-2UT4DI*74oFdg1Lv0d3}lNxK*Gm%e+I12kr`q`&<4+JzH0eiYC)=4TX`kban7 zebc(7#`A){%eMsZG6*j%-2JKJlqf=(6g& zC7pHkVu*ZEDuYjA7&)$Jr%x_wyZ3kIjL}7);V(~g#`?+ zPJ3_7u64hW%3yG3(k-sq|3^&|r!yWX@RnW;bayOBJSKXPUvB5F4W|vHbQ2iBpiP;9 z3Cu8%VH5x}8Xm4u;Aq;=4UumdKI;Vst03C>?Y5)KL literal 120901 zcmbTdWmH^2ur5jhga8Td9vB>gy9aj-?hb>y6Wm<~cM0z9?(XjH?r(C=J+j`PyVjjG zx_eJcb=6neA#yUJ-{ElJARr*Vi;D>{(!RoC9d=p{P6f{ z7!3XmYa^y+4*>y>^6&L&dd=$<0)hxaTu4C4CGB+0ng91u`s2q#6LjOPcAf+bwEU@- z#o~Z%s8L$%5MW7ssaASvh-_(tE!FTK$*^PTcIezN)KUb0MO99YKi@zQIxm>{C>?&) zsoh%>rWKN^NHzK3ZsF1SvFEK>1%6uy%w#i~a8|!ck#~{<}i~B!32(|A!7f{mIJ%)LX4R^B=gp-7S~_ zfsjN$e)v$Ulyip{s2v_2>Ygpv<=R;ZAc<_m5daO<_RktNjPH);O0`-NtvydPYU}HH zYj5CvFHO0RszfRlZe}vy}aM5z5{_1|k`eyCI>p{=!8+i8Bg_QID zK|xHm+d@iIH<<$=sN~fK1Cc?`u3vrWIWr1WZ;neU?xS!_&CIfMb0Nve3;(AHQchX9 zzvZHRgsuJRyG$nU8$BP~79{|MUq^0eXb3<~ZhyHcP+C^zdNaoM;{7nrb&;h|{J0w@ z3-MU-@l5CSva)dv-YT>|>+9P0=WCLlo;(xWH{Y(Vu3nE-I`lW%Jv|<`g5L14fI#5C zc11;0SXfw#^;T>;I=V2Y)8#tgqUHO`#s>mXpcs6&;;va3OB|W>@yEsez0>>a0bh;T zOaaXEHz)xtPg#x9PjXZVulEfdMl1D}y}iBkj>oewZ&=_)BXHxCdEM(K4BsZ0wf3j; zB@uT>kTUFuKixtnBqa2KFHD&-Ls%?U`XKVXBK?`2RpR90dI=)I`SxXXb@lngYN;9; z0z9exvDAU38WUJ}cu1N!Cg6POr_QxCd}n9pl+;uh=!ytjw&|4>pgaa4A)n#BI+B0k z#0(CQikkZAd7)!`wpekg)%C`6ql4&cR6n?({h{sR>de|ZHS=|s{Pom?4^>eHdJFcU zwlAe&-7Tz4qX7j4rMoW-lko99pfFPm!qaDsz%*XM=))T~LS)_Tgcdv>7=BsVs6M2g zl_(aF6a^Zjr1%;y%zX_dnxNJN6N#%L+1KuwBQW9A)YLp4S~m8mb)MiV+Mkar!OVN< z!XsU^zuIKq*xZbQhUTwOZ20zk_qvVQfu*b^fJ9JHNIE~eun?D-DJv`tebM$naCUa) z;OKZYSK*b=@pfkYP)Zjrt&e<2SLAxLZ+p7P045s)ND7bLrgPhQrNLUXV!?nB6`6qaY^HJ#}9qZf;q{(yQxhVjiA!&zJiuuDcH)O=8aaLc>!~QtI^terM<4K*q*i>X^GqwQm16!r1fO$qOd^%NC;dqE16| zbBal(Cq}x=fUMUw>SsvEPpZ|1u&Hd;`?B88Gg)(&gbt3cQ=CaeUvp2u#PojMA^h|R z-ntQMuNz#5*SEK)9>Vua{sZ)Xcw$+#AHlZ1snYR`ellMsm@S7yNI3BT-fbApLU0Ec z;0}B*U1MpKXVFFeAtB%E7NS%#{gy48Fc@N`dU3#{heifM3AmsMl_F=L>BA+{6BEPJ ze(laB(vJW$k8dywc>Qq1^Iv7*82SGSvvB*v|S@}D50p?bAt6GzHW1xu`dv=IpM;v*0?c(llNtYk>c*8tZt>PFKcA?hWDlO4`kB-=wDa@Lw(0 z5EZ;L!6F8cEK_=$fb@bA#h3qVvU?x(sxM^#|7qL6FuaVM0qa{-lacSGAqs33xsbae z`c5lNp{{>KP)ca*z$`IXZxahzliWKcW_#-=XM`&J2OVAF6>zB%j5^3>E8#FQIy^-hG8VuJ6@%dU@hWK0q-3a;=&CKQw0b)*16J|<0GJ1Q^J6It zBa`tZ#vfMK2IetDUkzfqIsc6R98tBe>P^p*`}ohnb9i0x+}bSUmDhG7Yr=Z|-O0Tq z^!X4LnE-z%|M)3wNHJ$FMQlt#eyI*k=fn0N>4?IAD4I-=QF?PWC83$tkwq4$W!Gp$ zuMJEr&B%2dVhbNz%Z$j$tbwwYB~N~UN=PWkKeg~=$10MD8;P(5I%=1b zcs^Y7F2bBjLNXY{h)#Z$DCII7qI$DS)uJq;<%k|8Cb&;a3RXY2KEAz$-^Jm=~@R|dCrZ&3bg+T`gsfU@S!pF2bgy-Q3#~O zTrPL40>LZN?DZETy0&E#M9Of{hg-xHa@QbF$6t$T!3Gn5t7Aw|df(!VKm~!y&(97~EtI~OlflUR2AZN8Fok??@B##TSkiD*8r^EuThbO5 zrT>TFagK2YCB1@lFC=Q)sH~j&q90#Xz^d^7kp1@pbz{mCLDxD#^fDVoTNgjqG+Afl(1+ z=%ryw>)M`G>La-v$Vc+j8RV{8^&4`?|&|65xZJ6hzskupR!=gzu za0p<4RwaT3`Hw#QVEX*LWS=s7XQ<`&GAJhO**H^me-2lr!#oXKtcNrv=ohr?R|Z( zAlK8{z{|!xlIHd))7{Q;{KFKcD?2u#5)Yg25&)~`QkW)Muy&#ck;l2}O_8Rh$N%w7 zfPY?eeno0)v%hF2_?r|3!$D3?PkBx3RKKrU^Uw&Xh*63&b?3;*^TO+aS$x2qVZ|sC zK-VsR5*(g>`)_`TLV!O6zSY|(RB$sfMxd-BXn&EwwVFtpk+hNFg4`{*>gfKpqk8`~kx(#okZOTz?V@_is%j3KNh18kzdm=7je;h=eL_cKy znu`(~j4!My>n{@|h97SKIquKh-Dw4T z1V4+OJhc#)Cl~ONyL5?e4B`6M&Er|yM8m1i4KIEGr{5QjaErTvdDOOcPRB{q&7_Mab_JUuxXWyyTnKT!|p8jtJz z`NeRXhtXEQt$c05@8N*E5IP(j(&Db8zt>-3f4L|S{|x6q2BW`U+C4VoxcIQJP`DHK z@#Ng^o>+4Z{i2co`;_bbXVPAUf-?_{91?m56j@Kz9UQ^Y{H@nhQ8*dDq@jfH)O zFif8~_%$%{;1TAazwts7%q!R_1e-2nyprL8!Tn;r$n`BF104@}sP7lFq5%xSsQR+h zB0B<|s#FFCd}Bw0x?|m4V=_sR&?wKN{fGtGr-uPaa>GWluC&K+w0;6;<3pc9;B7m?dNoK zB#=6V)PT{d8VcFu{2k|u)-mS}eLsM>VcN+4uMx@Kv1EH4uqVBBE_3?w$3NM@V+So+ zijfe%tuxP`aA*I>X@C=K`sJ>856%Dny|_$eYB9dqIX+UlbUpSXDhb`{(1B4|8Pc|> zs5>%C?ftSK1{E zrA|F{B#}gZm43SYlVS~E0#;{#9Dw4!*D9@hTA4{I;(FaLK|QAU#Uv#3jsS6oI9*K# zcOd&=)TRl$m77Km*BiRmQ}otiGK2@bgxS{!7eXPiiCal zuZW40hvQ)Pj?LT>Y%DWc3R1=8d}$8~GkK8z?ebdgSe~S9Vtz=&itTtPj~97$aB2L#x>A~+0lI#VgYEVW zf2%USM}wqglL=Sng4zlzt;xl8F2VC?8;i<;3+U}nuuS86Inp{YDlDj^tU_7Qn5pJo zMU#SW5porOiXNEIY)yGUcm|tmkt~?-Mt0>cF_~U}MleO31xyrmP@SCM95_c*b7w|` z0+Uxr#8D&<4vQ!`S^t8Gw-N$130bY+fFSSmfW8j|TA`dS7|0hWh*Ow#7^I`qc?5Ld zS5)5YetxfC$xK?Pt1`MW!w9(8orLN5RYB;AQj}dD5-;e^5f{sC_?Ecu#OyS#NmW%? z-ldD&IbGx6|3yQF#^El% zpesdE<%J&frQG&Vi14Z^@#dCA`3x(fAGtvg$-m{~?5Jm`++D6I;rje7Wj}EE{jP&| z=O8yL-}X>TGC_j$MEi-Mm^5`MgF7=SZuP0Z0EhLb6v^_FHQv(Q!i%~0QXQiV!LqcM z@qBdE-*aPBi81!mvodjsId#06w>a(niQ2SK>wGj%9I&{LNn1X;n$Zpe#DDP!=^QvU zXY{`d-I(ME8d=3BAh@=cm3^nKe~r(@%-ng);{cd&-jt1@Td2ne5`IWuzaw6hya^{& z*j!Iq{Y-D6H!LkKFBJq{6A_OFLW(Cc+_goytFo`y^#|2S^x|wyAuDzg$Q6!bs#zU- z8vsTa)0x@Zf!L+7PW0DQmjg#QFvHlR zV8kV4j3;f&Y@M5X6~SNrM%u8AtOgqS`y*OEQ}PdYX$iTd8P5CyExUm{Kg5jIs6Tua ziiJwfNR1{gKuD^;8rwn)j?7!vSWZ_LLb|f@ibrt8@x$W`Kz$r7wW8cSi^Dl&R zEeaNPyJ`a_wzl`Vw{O7yEC$kUPca^yK5^>H2v{3Zuw*-z9bhAk)Lkoe`@x`$Q-bED zGFWaR9ZO4RM|IkL6-5y)_Y0JnaqLS&zQz<;4rVp!83JGM-X6V^krT&!1LU+_!~Iss zs_yfxiN#UM#w^n~USY_fRp_Vi>n~K02~5Yz-|%nmi%rj9`OVIv66W~rG!u=Q9oBo= z-%ZR*fK9QE5I`d?9x}RpQmfV-w`yM-uDuEG_nXY9`Jt9uHn1Cr5iUY97Gb$)T6*62 zbJ8 z(AYdja-Kn7QN9z^U((oWLAA#F@3YFsT=P{^s`j}e!s7BAimDRxPS0kKzQ&DHZ(kd`6uj@`OBm1L}G35!GN*tqd6RK|<)%*@MMEMQeZg{-KCBn*y5swe>vjkP_E^LKc} zU%%}W359W4-Jxd{d8&)m4m&%i?QL}Yy59-xOGoVXxVpBsdd%&?-jKpf%V;DUc^2L&Y4>ZY_(Tl}5xajJ%=*C|IwtI8!sV3`J(o7w zjRgI;&jd2ph2*H1%a@O6)%!ELUgb3jlZH_r#dRt5OHPDHgdTIqWan4$jR$ybHLY&{ zXjXl{5{}9b;_NDTLe~!^EPMmn`Pd0u~u4J|PN;b|Ml8y8N=tD;6mZCuX( zrfpFU?6?!{6-xGYvW>NAs5meWAY5a+tZ4YGV;$0@Xe5Ivw1d}}VJ6uz zJo`j#^8kBr7*oQ&>@>MZQ^PlxxfG%!z~uV@gMX%lmiCOuTG80$zo|_2<#)Bo#c$&6 zeZK1s?CwKwXzyk=3SyWqRl;OU?{lkq)AFWo`h-Nmcw2|C*hNrSDicuqosw<1DG%+I#1oYJK9hnVOh4mEx0ml+izb>>6!#G>oT5zZ9#VhCi^*i4$fmF57)mx8w{YjCiS6PV!LK9B>u7PuIjykS-#4zF`{5su0>)f!X6hmh57mN zHmaa@8;~sk>FG1mM5VtS#5Y};R}>w9`uxXdar3mOb5iU3pR($|-ecYGC!DMd?o+-# zJ6h?gH^Z`&lvKinGjWd!v%!RUcGHTkdafj~hLJ3>fUDD3&gp4cCikgs{VDpdfiX;PVj{3@(cMODBtgAw)t4Jo4PEdgoMyJx}XU5`Q3cNohKuFk9xsc1S8g(959*)%oBXp3@x^% zkCn&lE$#JgK2Q#1Wu2D-A@k(`Ia)ZU^R>IKm_${X1w{p_eBsgKY;UIQ%pWG?s9z2z zp(}01fX*K54i42jzrt`QXLXDjhi*u--b)OwEU$ z92h75oztBL29<*|1VaI*cm>b|#NI61y$61#W)|7Z-k3ku*(h4F z^O|{5j3(Y@cu)n#%Ogo5Ss3DW*z4WNXwRCYK)Sn987Xd_pXZv$Dd#aE7(GKxF)CI( z2IQHyrlxlH%~TmpHuqHROJJ#CZZLIB@VNh~np6`ik%^;h$?K7rf1J6wb5_l%@(yw= zOWrz!-SPO7k1WNb0%XJodd6PUQ$%Sm2w!17b$x7*SPqP(s9R~S%2YbD1njXgo03<( zHZ5Fm=#Q_>e1FhupL`x2g@#{h*kPRMfe(g@5g)4kW!>OgGvJ(?jisinTN`4qHT>OK zYS3Rqmbhb+{)z#TZeZAI(B%;n1a)NO-g!;hGS1BY4mM2vVZ>&WrP_*=5-lB^W12MQ z-GXp@={JirJ}25qA{?#qdH9^L*fDQ9uBB#NHWZvNyFvAs$aP)(9m+S@cHxdDtyWC&d3XcD( z1z4Lv;W}HZN7HGN2=4INR|cJl_A_|T;i|5vZf$N$s!RNw%Ju}$a_kFegrz1p#o?go z^`U2NCSrEif=u`uO|WN^>MuKusKSN?!M4Opm+*w_>4R~+AGXE;!fMeKk%}BLPytX; z$92|8)fX47)yHsMpXk?hj1^Q-VWL=2SoI7MHG9zU7?9iUn5S>nE<;^>2rLnqKJ)1* zYqCxK;1POOvAZ;Vi(W`F!md*ncEq36?C5v#My^2!xnk1!m9LOfX?HN)oqJ2PUSRN>iD3+cT*$C3~ABp{X*QuHSkPkbH)g@tnkEl4K$S0QC26DBuo z=*llaY3PxiNG3<$MA#qdzTDL8iPIdrcSdUc^D=^4b=sUMBUd-9wry|-=@I%v&C>hD zWMAB=B*#$?ff>Zga-~@-=A`WcJvs)a>}i^9Lla`;G^V;S&$6;+!RZf17R>X`#gyE% z{Su{=9k-M-L*r)Jhdw3$p6Nz4fX!)3iEsDUM5YvLNH}zNm zGBTH6bGd1CML3Duen~v$-u3G0j8y2U-Y+pW0;l}6@tCi8+u*S2&i3&yV;T5@bt(_; zEpynkCdL5Qk$H&8iS09YZ@Q5S7dk5UzmklXH`roAXM9K9 z;rSKZ(@D_XhhQ)4ymNghJ&_gLdBF!t4%iZ2)^mw@?S^H6j*bDm7K`=IZMIXYINIOp z&OsmfB-Z2--D?C1Pe+x2;`KA%!O^_RnI7h1;#t|ieh9|Y;%=ui2l(twBItl0yr@@EIAB|0N=mfg%R*eV6k># z$;pL$JVm{h6K1wNEV<3afiv0Hrb9_N^7cN3rhs~GRX$S(#YV7vsZ z``%$c&V{YEOBB;UO6)4)WvX%0dvcqSDT97xQ+7yNyt8ffUm@#h-Rg9K!C9S3rZ<}M zbKX*KOZAT`f$XlLGVj6rctHH^);3cBG&O;Tx)#{BOh8ZY7Y@jtQq7%G-9dlC;fnO| zttrSD=fynrOhhI)eCb?3@edlJ0MdgD!!BI4;&2wCMOP|pYyZ}|G#MM@c1jSqrS1jw z@eLAw5P3tOc|v0-PT`-CmWHd)L{_xR4<&?Kva8NzF)bVH)kBK6Wy(nnPPDn|?Ato2nHOlWF>j|KWqCMqw!xBw3 z=5$-Lh1d3r8@XISM)4OFu*TuGYpk33av_@hdSrUhJyEutGrA=2vubatRDp|wEMe;J zdh{*ABi~!n6@tzgcBcuxa~bT^<`7f;JnxtBjN{FPx8jvNbW9zHtd)F(5v_K!H~gql zG#<-;45j8$7$+J*!fN^>E{~Wo`nSX~tGEhO6tYE;AkiQ6B~I~$n-HJJ$4{E8Ox^mk zen!hqu!TV5nqoRc3abgL`vzYZF0Q#e1we`n#51%5wmMoxml1l91ZF#P;j<#{$~^2E z;S=B-+(1XRtjUJx4N=-se6I)_5ral9$(4c-M_g1Bh8uq)e2pVUkBq4kd~7)=x~~i0}p;i?UNkw?%VQRW_hYp_D2c z4ld`+y*ZPV7yxXWHW>$7@|}*G!--vIy8c-1%2jrKK|bI7?fnovh8Wa_ zVI=Z2bqD-gqQ2yu2OseH*@2N7<@C{_44%Ftq{HJGUt3MZyCg55g!HA@>{jpUIQxaA zORozmXwALX*vys^Jpfw_PNRTM)5mXT^9Z+^Ca(6t8`f@!e7Yj&)UTW!id%N|Rt+3< zjo|jgaBC9)M`l9M8C*F;Wp#}ExNj(46IoFscx-$5y0!Aaz~*3X`G+9vS`-^dMYa55 z5V1~FV_avGOG5|tQGy;{oOoP899RyV1rw=E+W{fgD&V|RXm`z^Dl(rl^iL}pL4pH<+Tc~m z1rP=hBI`ELf7jIU zczdKeJg#|kJ0ho~=CfOQY=XJ0wIqS=uQRNHG*arIwTx|FNe7koo_#2La)u+RFJ%$d zNZ4FM+l|Y|sV>D)jLwP3a$6@eqWw*|O22y_I?hmiBwb?7nCC||pGfLSF9y`7LJQx%M7T=5H9!NZr!X=DWDRT?~ZC%ln7@J@^ac~#0id;M*0f;%LI;qW~7 z5nWIH2D$7*$Df&s@_1_tu4puC5}H#|rM{UNA9354g0oPFyyu;}^p$t!;PkN1IU5au z%c}=qT(h0uO#!pu{4;+@+rqbkaW(eSd(A=KFzEwUR`SCbBlhIj5ZTj)uW)r~?eeNN z0pjiCAf%t4%wPK*?Ez;HXJt$;8=YaQB-}%*+?v73FLV}Mwpi4{pu{^{UU0HL?;{e za-zT8QWA@+w#4N4j*Oz(}1uF>)dtH|+Mk*x?zs3z|8dDO6)6g(sA? zFTHv=GkmC8JKQeNH_8_QD_NjFxq9a#zu{BMDSM2+!gNmMcN42^Vi|m{$kakihB$)@ zuKB@gDQ%H2>C&V{7Olw%l@5ak4Aj&tYoTVdZ24PzR_)4mfq|RJMu-m9f_3C~gW70q z&=AQM`l^j~kWbi!YAwC|LctvK;A8~h`BAUg>+XB=LG_JT+RW$~{OCl6{_fjOalEF2 zKB>-tZgn4<$57TmW{Wsabr5XEfNDI^)Cy34;GAZ^>}5e-QTsxlJ<}l~cR09k zILMRk3qx4L(d9oyQF9^0DlpR?;VrkBWni#fDDSY8h)+Hp4Iq(OS4?hk7>C?gIV;zq z?QOc?Nu*^X2T2utdAH5_9-&B&i#i5B<7K?3&lQO&Q(sgugXqOhOJ{AUxGM^^rXJK> z-=0>R>q()mr zaD3ifZK4C2RsG7T2J?~50-rjG3qY{s6MCJt-q~ZiZn!OsyGPw}@(+MzbZZ+ehg|BV zdqK7mq_JYR)c%ZVkKY)d7D3}@vT3nxBI~;8-m(^OO5=Oxgi<%kU7=Z6Vz5HKrV7Mc zs&>&$t_6rorCLa)yXm?Wsh8!nh<-KEnDnj zZ8x4E05(JIuhB}CA5?(X09e#d4%8Y4t9zOqoao$Z7@rGA;kx6--O~`)C%mx#09Ag* zIX{w@YA?#T7xs2NAXHs~E_QYquj@);AG`-gCz%u1+%^~Msl)saycu`h2yYVk1kcsj z7{kU%a=ZELeoRdvI-7t-O9rfcvDS z<)vw5;FDI85omgwxc$wXJo0{jLyLlDMyY9YS6R>6b zim=zcM};=>%#60%qF9?n9788ykr4%;3 z_Ov}?<(%y9k|41ca7TwdJ*yyit%vQ9AVh<28kdmZ@8`$Egn@92d5V8(W|?H$W;t0k zMWOiHF2noDj(mQ8-)m~=)lMR;UD$NDt`}@{ zo^ysA``KHW0+916d31U#P?5xdW#zv4tjVex3kV%~Hnqf6jjznA#MCIUvYO}!zlqJ_ z@?Ny8R<8eEGCI~1mBKj!)7>m$V~5Lj3WV*B16=I3wAR+6lZ%p`m&0jmZ1m9GwHl<0&lJQ|zT<+Yh}+wX2=M+(^>;{$%dfuWAkr}? zH=i@EXwv7R1WeaLEd~)k42Zx~^jo^h8ev3y1g!$X|u;yRh< z|K``glKE#PajUxKcNT-zm(dpJ6e-9m5zBm$AKx9+)_Aly9P1I=yf%|%}TV+EFSX%4qbVx06fw@6U9(S4p=0b&D7S#ZK)WZwk@JnZrYwv#`W*1>Td zOYdtKU76NMTou{xB|P69$Dkr=!dWEp{nZ&7D{`4Qh(;2t3flV+4qjYfiN0pK9*aVF z?mJ9-rOiSA*{jdM5q_IQKkqhV{QlIbSBAF=+nAci^Fh?hlj?7SkByB}J5LR&F+|^6 zD3{l^`8G5wuypq?Jn%IteSwdyt*I*E#w02$+Rf%By*sa1QSKW9oMItcj%7<%HY$&* z#*hQhC_}??qD#p+(E@MLr!==MtVvPYaQ`7^VI*0Keq19UJ;G-ti1{-GfTt&)#RYOq zFkUS*l_BEoL(KT(FXO2NI=HItz7V?Ry$<9TiSAFXb^UJH2$aA^11gb3u~?SjKQ=ns zz8tcP$5s;LpxTg=#f6ZxypQH}O47iwL_2L8C}rRVXSV&x@%{WaOtEuOeCa#SP7iT# zq)zZgSz&qeGACShRIbt?HYQ`-UmmN1@}E4GXXtn`Q#sM2um^Y4XYBSvQNJ|= zU!q#H)%%w78Of*X#89vzknoE7)ysBnyshF%f?3wSSZ}(0OjOfsP}MLSZ0S3BxFo79 z%!7F$tF1>&MDN>4{rX4!xbI~n-txN%H~!xyo_VlSE5dQDs;Kx|(B%&XmJ3IovLpre zdtw*3uz-Z?gN`XTG#HLC#^cgJQ?Q=ic3A1>-rl6DEsmeIq)}Z=R;A6hF>O!J2>zep z6ShXDD>NchZoRIu_eirzmgQx)Ll&jzcyq5!h2qiNl!`h3YR;~vkH#Ag*VgN_6v2TO z`QlF9Kb5*H!bYAL4_|vO78aMyimY#-j-N-qeE|{7Z03!J3zt0E=>S-<@JrXp+x3)~K0`s;luBDXli^=Y`WhBWd||~1jI z8o5(zb361V6*JSxEv^8!lf0|+<`S)K?xu~v)fCy) zwj@sd9&UHarRo+<(OV%>T(!&N?{gQ9oFJ>2OTu{lgZ9Ce%vYaY4o5K*fRPI-TEk!O zt)2;RpzXMfZ_{R&LCUj^qSRCMO(91WOWx&}d7f>{#5=G*qpPZ5f&Mn9*Li2_Xn0Qv z(OAX`hh4S;)=&R&CBQgMLT@eYrm=+zf)t4Pa5;44smXicU$BE;Ps8Rc#@P~%Crw#U z^Y{((q<(wzR7UcOaH(1qTo0|;m?9{%Y|ri{n_pTT91U^9gA>8HmvFhm22P6ZV@)p` z?|!^ag?!g}Cp)OFJ~E{duso2q=>;^qm#HSPPg2Gjf&29LySi$^z}B7b7HQN?b- zg>4Mh`*|BYrIFS0M91$*j2NPS&an+iN#-}Sp+wjt$^1Mwbx+`KF(=|MW*+uP zF%P0~et4iePBm0QVCZS)6OX-2y#&W7Tr>CV)y*vAqhm39Ye`4wK~isA`JWfL78$+Y zCLRxWf5h8yvHsiw@P2Hzp)u8|+O-N9Tw*ysD7f;(;_w%?)_HzwSN9#Ep&mEpyL$Uo=%`86zFl_4Mk`+i z=K3R}No-W^!u-xDwom^!G9cu835?VA$$ZM=2?E#t1Rj>HmNu-+`W1Ms2@(N{oo@H| zAHk$GEk#B0HurXbnxu)k#oy?iJtKbNVIL9cg^^j&we0Tw(Ul^t{Fnsc*9UwbPZOdi zyIRkBGb=%YQu~;3QEhuN+oG+wQpgWPt%o{HFeH5M9faen38WpZQFt9 zj*XPDO->By!^dEi`i0;!UIH9_-3pHiC#PWE_Q4oM&mcfh764ayM-k714~g7+J${<+ z*H>Q-XRgD7MNl$e>?(&8=^yBbENOWO9;XyXQE!89TIzdje2}vf+_n(`ge`P%o?eKl z3Bb+dTC2x%nAWC^o9;FlL00uIO9&W6_%zL+X*Mp3NgB}NVl3Pa;8-JqZZMBQHQSEY zbR|tLO%XYEEK9=3P;PZd=!}He-Sl6QMsO& zoCIv)GFM{Ns+Z||xS;Kj?7)77t#dI&?JuuF1KzqpW_n!mEsFhSX2zbpAB1}RJ9)C@ z&F3o~)*hHUGZ^?$q9l>B%%a(*6xyIcmsCM1)`lk9oq`$k##2hgEu-lYC#+UcpIUv* zigJL^i^HV>tx|EM)*vM=;)JS2n_sHNE;q3;AY|o*3P0}ws-+=O3FB;3Hz9BPndMr&%gguH?1pM(R6LHD ztC*`t80e5BbsZ!FN^pGd-qzuvMJ&+G+$trL+@o#o_BQ!(CWs27^o=a#hf_f_E^Y+N zUIGfb(ZZG8T#UDH-%}`PRIS-=aU*7VJ6Gyk9UiP_u0mLSO~R8ROo0ps7iE*f?}5Ms zlwy;W$vPdqC%l^rQgLEH=OAd56(z&fFE36DEy=;YZZt8z6>0uwY1f=3m9#_~qvQO>cLQ4%Ic5InPfObc4V)U;6BI|rJ;PI65nT_p5V1Sc@>hP3t>v&SY^I)@>@O)g$ zq1G9h&;1kqWgw;FL&xVejDh=m$}9U3-Bvyiw;cF5Sk1DEDYAeXF3(Rq5hnCF&-9dQ zplUfX@Hv~P!**WTY&m*cI~sg+E*IM~6M?2U-|ZgFHnd+3r+&17s?nLE27P8|v7ZtQ zXzVfQS}tUi!Lj=%kQqCB6Qkoj&6O@i_+a+g$Jj{;oQ=IBe+dgX9&~2vE_Hi5jJ2ly z1E6onu+4-@HZX&U-ve6pSmkL`eHb2`FDWi#vbj{nyfHDeabk2fF8^(6V^@jeP#O{8 zFGFWgX4;p9l{Q+h;6OCO2rjq&bmLnBwt{QiJ7821EYA-onOLs5t;Q=qOfe-$*(vGt zY`j98qZWTSr{^}vMosqz9A&#HTRlGqpP$?)QK846lJU>5&I4}Os4Pi%Oz2pCqh8*5 zSF-e7Gs?`^GQo&{cAqGgN_GFRzDdPNX-c-oP>Hhbm5#zh4D7B1fzPseK4yA213B)U z?rWW~T%A>5$}Gv$mpj?+-5=KvAUosL;3u7A$!S0E+CP0N&0uC*OdJ?UYiV)e zqFCu#lGa>^VN#(Nx!KzwypVY>rG`m32b^0$Do0xRQy7AmH=cD8;a^vW{=PG?W4zkm zYL*!hYPzpGEW^2MVC#Uh8igAY9!Gu%Yzd~JwuMjT$ z3HzB}Co?iHy<-!mVou+{Kvpo$N9%`3XXt(mq znPP>&2lDy-N;HxfeqoQ9A8WzhzE4TnfaReR`L2UE?dQ#Fg<0~J3se5 zB7%jQ^-Xv2fdx%N12=6=^Q--!vA#EEb%vHGF92ZP4S8lrJHlu-fbioEBb!Zq2e&=A zXmRm{cjIpQBpzKGK+l{~S#u@)wo=jtv*~ZqOtx>1oB9Oo|I?FZ%!ZWpaDEM3d=|jVM zq&!i~A=NkJTer`Tj+IS($Iy1c%M7A>rEaQK=dToY-4U z2Qw1W{&@3)PXqV>r$_VK13;!lLNywne8O~Uk>c{Eu0WX!-d&c^iZy<9xnS|sxb0IR zN4*1XD?_mdJr1=T6^z$LK4B0*TuHk_K>mDSu^9J|rEzlcSkxZ)!|Lb0!3~^}!>ubL zL#wZ)JD01OABlOL{}AA2#Tj9HduueQVK~{KTlyaFg^6JO!>0$*YvY=6+SSX8uAu_N zY@OnRUnsM4^0Doi$;NfZ9#h@|+fjF8;cA2oB6qhU?H2L+*|P3wkycn(AY=T&_e=F| zx+B<9JwR`0Vsv*&c<-&Hot=Y9tzk8?HH^$AZD3YSk?`=f-YMl{VBHl)#CHAZ1+=7f zW?pyP<_!CTU+ng0QBj%CY0i_~=CxOG_zfGrjKp)5weYe!6r2sLA@nix>P`(7INFLRjDMb3lhl z{~&y?@X=D`n2V+Iskd*z2u!>6n4RtcDOm6fLa!9GETs%(F4<&iDWeXX< zv!yulCJzhf_G7p3NSk9^6f6tQ6GnRU1asusEujD%{Vqn537H2`H0V>O0G$q=%y1<_ z<4DNDdClz}bZ;`d{fcwo7L?8Lrp*4ghf-}$t7K4LODHyj)ho|Ki{%;0m%<8?`lybvoo5S?n6~j3x z*R4}-iltjQgL4Y<&7nxnqlotKsVRRqRO>plF(13~dnx8^KqzYlv1*`6OT*rtx?yKd zkdP=_vLK=1eA3jPaYC&rz)I6zCIfA>-^e~6a9}YBLCjJNW3Ox7i;{6a=sdJ_*_V0n z^@zIEM;vO%F1-uh9(!N7b=V%kNFBDsMH3y=Q1Q5=#EG^$$%JMC99b8Ml^Q+M56sW`|;93iopqs_oxjZL$yHm83!$>~RQ&ogNVj&|9 z66XDX01-j%zGwADBY*!`A}uF?oIbtTwW*Rrr*gjv8cP!Pd>h#65dY_bN#edv}&laj~2bn?U#t(Ju~% zfQh&lzj+Cxr#*LH zWAyT5P*HxKL4y@;TnvN+tEqSNWabOsc_?GrwRt163XT!r@AUd99PY=wPg^KCs3SGU zpMfI^C|X^Qu&)$Bs>5isGqAUo`Ky9S>oWtL-k&%AxR=DJMgju_OmZ^meP*!gJPK;zM-mFvdcO(WIdDy|-P;>zM0ylW~KyXi5U? zJGqBPLM%J@&`*sG8{KAUr4l$dp?A>0>rSfYu z_mW*+mEg=L6ciG1PyJp;FzzKb%KaVbo+)#D<4)l23_uNajf9F@7}QGw1k#fsDBw7| zc5G+Bu>AWPqn9TG$y)DPCtN2p)rZ5^CNpvJ))C7P2@b@Ov zzQLsD`7(UsTox>|pjQqf*;=vN>C*Uo}X+wR%`RDQ0U?C72J`rN^=dnV|7_Hq310J3xL-J{6M!{xCy0A=;)M#;JW zri?PV+A6CR61xm~XfF57wP%U%<|(M7hWX;-VAJ;onVQ(Mktu!A754 zUlc{*)AfP$9XsyM9@IN#Y+jx$diEK>*4?Wq z802<8K6YB6=YY`WF$&-Qc4oc82wL&?Q}q zq9}Z_E`q{m?rpJm9hKN#S5)_)HJ8h;lAYSf^+_Utudj$G-F+n$FHa^(U3#(q=qA@> z8(_yiHN(c-yVuG6;zO0o$a|gMJ+&mnnz>TFlnZB4D17QgWchg{N#fAH1Dr7mjG5b; z%8D!0o%joHd{;&g{5f?_=4f?KPVQSqe82(5jPUddoL11x>O;W{9qsACy?JRO20zbl zc5IZ2gGVhMZ7LCD>CQ?6l!&w z$Fa$A0;kX0NlkKp+tn(N?yx+4)zvBv@0gE4Q;AIupv{p=xON}Y^G!5mDg5!DW?r79 zB_vpl)he_1R2L>cpLqL@Z-T=i;iGAon2f^SGHcKC#qE@?hQh6&gY9tR2$ z1ObgkP1hdTuH&|@S<2iAH7+Y~Sg1(1xWgPe6NF!^i2MaxjiPvZBwT0u^DnSv*$HNi zcjpH>c@8S-A^>;B`W^c;WaJFz()kOVJ+u}du??G$$guHGw{xG~viyB!kJ#gKyZm@@ zInPWtxUBTgPS^6+kJOYmq+^o<={aH&0YU!U4-Rz(ZN_q!E4-p8v^eg(V###^gA5$4 z4+7lzm7LWLLhfsPUY;C6BSJW(p1|7Tb@a(La_p=xmF7VdOwM{}W0HhWY&ON^z6@~Y zf{nhpIsyZrY|BBQpG#|Udgr>1E8D)3xf7aP6Rr3d6=CQ0Qe)KO<1cieHFTKAW9G}> zWbL*eGjXIlXUFaXDyka80QW>=ZLyxb!J{~H;y4wjwxGt0tV?Ium?`bT6^d58&GX}q zyF$}GTy&o2X8Ln|q4WB)I{x2#T8>;!#wv$0Wb)Me4zDswDcEc^u4n0RD6~m;mx~D? zE-{AVn*&KpcI&LorXX>5$-%umxuj;KQgmh%jk}7;$uzP5q#tdnQDny6c@B-v#$*p@ zSDEHojf327TB0Ik7Hr*3T97844j!JZ(GIV25 zLHo+1yVm}dmnN5g-rmCd3(qifwo_|-f$zMc=Qn@%B{?k-n-az7nbYojbFsyqge)I* zc`}(yGBz>ouKP*P%HqILABOdFFF+fcWi)>GmkZ6ylS9vbeb~74IG3yT&?Uu6>0y6_ zkVzQ)@6UVxerU6_&#z^*Du|-Ms6jRs7H?zZ#Oa8lh)$=a|ImT1<1QUr$1`J`p8f!N z-QeWv&7?%t)704hy_F;oMbAw%K@jL)_#!9H{)w*XZXMcK;!i}d9dN&ITlPj#_)HHD z?A}Rp)m}ixFT59hhYa`VQ&AKSZuu)OPObjDrIq&G{=L{-kHd z;}GK*JNy1ThIKkE)h!7q%6XS&)i){#`n#XACZ=`e$f?!zxS??C#R`ScsMMREmwO5d0MB8)60{=pn~zVw&b(##7UBJQ|TIh_obLS6RX+8ho81EYl=Vq z29aZ@ENm(^VYVok%`)|l_Paj-#x@gml_%Q0r?KI!lpShi&UjxIt!U+$r`%PBR&Dj8 zSAKhMr=XAk)RD7Tv~DHoaSdF&7K9iyihg4<`FQb zu9mj5Ed8vGu`^zC-;>ownEsqcUZRlT_Ii?(pkv^aAKcvoy9L81J;(f|W z8{0g}D=*s|!qDmM6R^i8#k2duRF-bqL{d}}=dOn0A2*S>ln@rIUx`lDfLRJBwbxUe zId+&}`@4+%JcPWa?lhZMH8FD1Y*&9Z)%9e>mwV`7Xh?glNlOi6a3^Zb(DASE;p)E= zray-yt7vj`W7M>}&ubVS8OGt#AsjwgL{1h|)hH}4PGj=(_va1i<;g)11PY&ek=p8s zl$Bqk`>1U6e!jOq@d47**vzLZT9`7{AB_gK?J{%Vs1>zZptVgx22ati3Y$u!8TVXHyHmRL?7_CRV>x$uCo$ozoT&&Wy6e-( zvdqHu>(Q#3X|qR>GkgwZJB!E&Ttwz5r(ybH#c6hJHZiEc?Xh{{=t+j=RRT_9lijX( zNZ3{pt2#HZi8MRKB?m>9@)9Q$jZs(T2&o6y#mqcv;aiU z^qk0ST>3t93rt+Mm}|8nS#c++uBsz4+P!P7;Axn$+S*tBFxf*pHS|uUQZeS~S8+HT zNRo_J+rFyNoziE>2(DFTv!G}@I=?{1%pGyxNg};GdH4tT-BxR^RbJ!R-c5i^TK8cj zr6xU)u^3dRnL0CoqFp8|R)ypQ4Fmi5GO5t1HE%DfbRD~=cr&KD-PF}IV$e2`5o4yI zQAbFy`yDua-bT+XsIF5nw7)NlS2?TnR5iwuH{un7LOL!xoi|`8jy?mascxW8?_ifV zPEwj@xY(AZZsQL?fI%QkcLcN9im$IzpPVIDJvF2wtuZ?~*LzQ^^TkV7eDcJ3P^ysQ($?8@dl0Z#c3jGUTyXm)nz=*NfYz5TSHZrJh2x_%czcRad z=HS@6n;BRb!M z-efe>C83JJy$ozDHsWwVUUx0ctvV);F(63_AFMqOICFb$Tk{zz+i@x?8p%v*BUo=j zk_;XjNE($LW1E$r0Doel)GS%uip?%kXYNA&!8Rc!^78|BuP@XUlmL>`b5IOD zczV{j+rE6FC=wHU>x6}B!Pc&yV1GM}Eo~kKAgihy&8^#ARX!5qe0l3*kr$qFpw$Yj zEfTp>8^VRN<)ozFeVEoQ$Ea3wA9ExZQ8AH3O@8|RJM!Y?CY(8OoVN0}m@~qHAPDT* zU&^7nx%BLJ=LtTW8(Y}DaUKRu1$MPs z(H)94utzl)&sR`)?E+aLi%8GIsWlV)k!3$VUD-xlw3^sx6(##D)HO&XCusP1aWiUd zFmcJb=)?OmWA^Y4M(K%Kt-h_+bd>wTPiMz!vAGODK0X@iEm>Ht2V5S9{{C7%TBc&w z1P7uBOV+Eo))K_kipu*g{r*Kd%P5?XoIpZyLZ|fQ#Y;yVDcgg#`9q!=X?N~s@7hC4 z!>e@Z(SAq!W>i;Ib9l!>^q+eLSJvo=53fNKB--ROMofOmWsLFl6&X9ytu@C_JKtwP z5J-u-LQ8WShf23HD0L+iR<}Y5>oDb zu7CMLIj8q8!BQWyJ!<_bDR4Ah2S+kqILW7)^f6U(!l;rUt#QNbznnDiwr>s`%aC8VQSxB{(99 z=&l8f$ho~v>U7#WT0?!2FXk^z?~=x<4-?2ty@DV(qbKT`eOX^DQaDt?Y*u)Gi4Uqk zKbjg^Zo1iauiVe(`Hf`f^zi2V`3mtw7=TWdt@emP&+DdeaKSv**Ii-sQ!n08$;_?G z-s1Uj$5E@DeVjU5PGhsgfZo0+$_d_E{#PbE_n)Z!bGdr0+*RelXp)g6w{_TL2A!{t zn(|^s7C3jPv^V7Nm^R)(eS^dYi<$`yR`G+cU$?RwIC|2?j?)QDn|gcW&z%wyo5z{* zGBR$^@qMRaD4gS&e5_!~v#eRIMQuNcj0$Z~AI7~nf|W&^Il6BPV+S|zqmd^#aO@-- zj}G=$*Yfg2a{0Jt4Ems64&Ivg7WLJa88LCz9lf{PSN(;Tr(6$BXrSz{1+9-j_be^4 ze3%bbz0LS%et=!moyO)(1P40xtG+?I`X{RA^vZiIq#1?hG58-&v0aO+Yr+YL5{W?tTUrYvSk{?3pWU^z_&H zbk%%(Igdlp;vY4LLHT`Iylo@L_HAX>xK^IdIzY*R!xSGYWY}15D5sYvkGhK+nO*2K z_zHr+=)qS0{O<3myEdJ{qivM$%J!h>z7^vz4)61&p2X zHH=DE%;r*jeVtlUan(*>fP3C#vx}%TYLvEv#6&t5ao4p*qY;=pJ%B5fc9yPbB|cWe z)Y*XmOdbQDtv2ElIfS15`ghv1ku;gKw3QQJaF?BLwk5aI-;qy!n~&FggrDjXcG-`x zj1eTHWHG;JJtq%rMish^*o%7EL+>khyi*615~sbcd%lWnt~~Fxz?JA!*T3} zwU&+ONcY4>Mui{WCw-5P*3ZXJQ;AIqAZzd#LL*{$Z{2z>9N)<| zp0g4ewvF{WN>NA7p=aNL9bL|gmrmn}FaY_8E$!N3A{F}Pm9TM*KO-jII{w;ZvJf3` z)+I;)UDAD6zRu~{BM1Ur6EAVCs*b^<#<63ggnXn7v&qcl zccbP)k*lvShB$=yO)~^;& z+m6xHY~u8ZON=k@L6Q^{1&)@dGjT`+r*EkA_eHIV3|G@?)G%k7XWW1OKrJ6En#YQH zr$yuaWI@dTBIjMo(*>e@E-<$G^VXMo^$r_XhQn z*|1{^O$`N|zGLRa%cG7~Y_Bzmu@1V$tma^8B)R=>ZBRLO=olmVRB>Y!so{h5tXOX( zK30Q|kAOiu1HhtQRzFn+^BHGPCX$|& zamzmTY~Rk5kqz9aH4{f0Shv;4#L)%}ej+~7DF8-H{W=TQ%tJ4hbGf30)`mvL6*#L4 zx3npk#p@m@POS+IRaLio+Q%Aa>I`cli`u8B(j52?I&x$srA7f{{0)S6o zPb#a=5fdrUEmOB2nR`02o4nJn|Fe;k`nq1x_tPWByn zb9(XeRlw+o2HXoXMNzQY6jBpm-kY`#Kpph!xBhSeL}7&F2TvqfR?#xQ)t zdtfvjav4?tEEa|MXo2{+GR~aLCnGEKw&Ri{iOUzOh>QyDFlntQii~;s6(mVQlH|KK z+NhKokLrp584305EZRd(XU|mfFLeib@0o-I7sYT$f&6^0Wc|< zn9aNK^%aQ>SFv%Mk%FOm8k!WAY>7b^l8oJ6j?WF#j8>yec7})|Zl}7cfXL|E>!HnN z=W0bY(Xrtju8(|tG>n`54eWMjb+EhLnAfXn+i6L7Ks^Wc93mjlpY*J|uMp_P%blQl zY6%NbarAsR$z2CKW9XO7!*b;V zLWK3~*|7&35rjoXqS2^1xc@BOQ)^tMJ5QXoqEQRP#b|Ii6t*77q~`#4^@aUg-{F~Y zRcJH?^xWYF1u{=Lo{R zB`k~DY5)Kr07*naR3mI|G^2Ht5$Nw6qus9XfA6(2s7Dp4A-mbWWj8ir2#dJ8iKmyZ z2L3)tU&?hJ6|D)2&S1&XV;FoIFqvgmZ!$8lw=aPKDvq3wCMByMvMjT9(c1|1ALD1= zNXhmxG=7N$g@oYm@5j#KqvUpJbWIBO9553dsU{*!joB=-_gqi9Rf zOY`RwHHAOC)rh}Aq^jD^kz;k_4IFXH1<&bY$2h$8kHl(MaQRd*hmX{dn$@$zb3{=@ zt-kwYgjX)t5EpdJVs0cQ$ zD8xmSII z#F8~OhIT(nuvo&D4f_d*$j0FRaI3RWGeuXT$0edStpib(XDdW5i%RTCGS` zjY5TS7>Q}l;yh-vm1{@eVqCt}xnUltqIY+J^R?Yc&Tt-+n9+kZ8yh)u-bjl%h^uYA zIdd(CtH!>JnDiXo^7^rHZ3*2oocVZcHktqT_a*}U1zKAy95~WSkKTQ6dEa}tZ>HkV zTf}Hrb7KEaE?sqykkYZYlS(C`Qr-Oq)T!gA=#f(4nk!XYwX?m{%Al@gXw19VwDAxz zNqK1Ra&z9xSAz$sHG-nt&MtfJR2hpORM+>!{D1tF?C9MT4AG%d2^>Eoa@qDQc>@Mh zy1ke_F&_~V>0YobSRKOfng4?*ikQt-KK|3c(=DY6S%x;FguzdRtSFqT&Suu@|LRI) z3Q)4_hfFQ-bemkdC7eN1e%0aFBuQf9l6UbJjw6Z^4c0UUjd_us8x}*$R+^eDOdaP> zYLe5OZ8FI$-addaPrq{0``xhM4W65L)%Cm0D6?w+1V)UXdQZ=q<5r%V?pg8U2lJTNOj$oHqezX=>rKfBclL$#qDQTWic#g?jrSo_gWy zE@Q2tD3mVy22)1aJ;w0amPCe3`Hv3AXR%n>vg{p#G^YW9W+{vQBWF{z`a=wIDOK03 zJU=sls0in-c|)Vj`a`2S3;_k_!f@-Nf9IJA4X(CpwF;$|pJ71$?Gs4fDGrB&Rr7ww zq@m}Di4^$1_geY-^PUwyK3bE+=vhDQv}<~Ke0Wl|<{!WNIpYUjAg_m0YqpeV@lXFD zi782JT>23+hHi5iO#wbwoyyqRKL((-x|X%`{)5b<790)*qe;f!prWY-l%Vm9oBoXJ zyIo(~MB}j^GN`xbcl^^WT^M$gGU=_&ZERoj4}!JlamX6XVh(wOCa`7sJ4E^&rTmhW ze|a&8zyPO_rlL}2U&T`lDj3&ce`d3lveo~_^f5+P+o|(#m2c6lXXhm+HJL1ISol9o zFStTzu)ts5HS(>O{XFI{^VVijIJ5IgHhXz|coMZnk|f^#pC2=GOf}h=&b7|6je0VN zzCmbsFzY^jo97D4T$|*IqVVC`9*mv!ZNOQKXZzA$kd|P?W>aWslL!t}Q&T4pnm(H$ zqbItqb?W$8;+0>LlIZEV_sP~ghEM)_hvTcOsb$~hcL~y6#^%r=`SvBV=U|GK|DD9p zvz)nL$&f34H5>E-d^L2Att6`M2X)qi2KTY`^{aYxNzhOYGyS(TpYXf=aUw+)q z#n@S<*wX-Hwuf-~#AzC8Ysu^1*CPa?Xw@Q~9<~QRy;Gbd=@=ia|Couhzrl_T;Ru%& zxr{#mdcBAr$2_W9+(>g%EAe5K9&H9c5taSIT|BYdBM1VMp8XC-_8(+-(K%Fp$IDYBBr zh8BWD0tg5Sp!dj^h!fu;E6r`6|8PYFGoJgV$NMe_!slg*uX*%mc7$;3&{2$SMtb${ z?cv>5wDLoqEj)xq(U!Hp5J8WJaN(^gU#vg!?U=fY|2+*+ssQg?7d70IK z`<$q70n5>oK<62N)M_i!O7~E7yn=wRL#R|W9>*9ol{eKyFJ8WC2!g;%-}@Qc zRxjfGW@jSf#O%=|rX&HN6E1lee*gk~DqQbKcw{&keP+-*cA=|q1;G0&5*h#WT#xgD zLi{;a7YsDH+7v~>B86~p?|x)iA-Aumhw+ZJ@9@I-6Q3^%Z8Wv)Wc`6aW_|4^tXcRr z$%(}-;}1Z5j7Z7x{XoYCpu=VR8QH%DaG%p96%K6O->C*5yfSc9-w0b(4jp$m^H-4 z^@1J%19Bx66qOL4H1lpA-7N_Y4PwmPU$Cio8y0gj(Q(Cq+4Xlp5HP5{TH~ejd7=zJ zf*>$t^mw3s?i`2W*KXl(wOUJLo;!{;IW3ueRWtZx-A449CR(gfB=&f^!}#*}u9H~4 z=^soOZgS?@*lghPl?HmH{f?Y8nGGwJ5T5ZYU3=yM;3J=L8Gpc8?$BT3G}a6$oXoO! zc5>sy3&3Rb{Cy*OKVO>L^i(fS)C6??#?US(?@GNcG+EjnjdkqN-rn20ZKz|DwHH3$$Q4|G--1+akAPDpt&>!f}rq3z? zPXmxu3h)|#ygX58G-^goeWt^|b@aWrNuHi81M){ww7MSgU@2OSg+_A%y$fDycb-b6 z!Z)&zZKaG4Kaw8#-y}9Z7DZ7A)Ligb6b1!|h!$tE z*YUHz#+rYYwYyGBL)}g9H7X{S@+%^3Mmv6bk&s{&Hk*Q|4!rpTx<^zh6$6GjcVD+G zKF=5DUslPRc;3sCh2GDX!s+c390S;8KcLp5%^`d0PyX1ctX|fNuXG5t%0`1Zg(2hH zM=|&r^q74{vggoR`t?+(ZG2)rYYRp71?F!h&gOZX+SgGh8k@ z0<1@lB8nrK{M>ihzOa44iKd3yc5T-Q4vXgMH5o~g2@Vtq3{cV3qM#25zv(&mibkVm za6th8TR%O_jRqj_YK@l%!xLoyx)phYC$ebWA!d$kK@bEQnq)3E_NMC>yjJ=Q83ByI z;c(nCXHG_TH=1LA$)`IvBM2f!xrraXxa0GMmx>u<+gP}E30XP02!ep5w2$wUWVd0d zzEPyA+TkjPXtyg|tF~da+B!^3X0zBhb>2Z(fDN@;VDokpKKfA7`;57_2Xu$@7%-7f z)}Ca>m=;7);N&@w{04VQ#WF8mz6xaIjb+WYlZ?+d0Z>`3&?fe6mlS#Ms0k>_cqB=> zrPk#1=|_D{Itz=pp!U%t`BdB=kBv4m)hvWs`hMN!sfdj`y z{31u({zNZco)F@*MzL+rdGh-?^I)942e4+JROd zh_C+%UYKx#>(zZ;m{P|_>lP6k|NYPBH9ml6g&s+9&uc1c1S}TWwKHGeAW>82dHjv2 zH6leNGWq=+v>FwzRyi;$iHw{v_70!Oy%Cc!hAk!UFk*l+C&|t-HK9qjuIT8+%acS% z!U)Qa&ZBpCXENl&Cq?|DJ;PT7L16T>=TVgBkY)Ln`MHJ^PT}JDT;^{rMIRVRX!vfP z9e082-hZ!5tK_5gpHMjC>u7v5m~B3Q)uWH=TBBC0xp>7{qWyX?po*(@nwoB|H37l? zEM4bdSU-jH7wyzFNHkj0ne@Vg4gU*@A4TcG`Sj0~P!xrYJ9Wf&eX#oG<;ldmD*v3& z@L;+R{|WQAtVScYq4G^*?2Ma#;O``1a$t}@BPTfX?G!KnUyogPfY`7a8XH=iRdb>S zaPnNaE99f9MnTs1b{(6V7RjMw6_oC`Ad1d%&ON#suv$7c0Bv74kAHp5f+#w@4f^Hj zcx!P2!#;Nne^5llM4>JCISaR~MZ`pSLNA7n>G?pf>BYK(Fb=%i}~wb~i3+zt4g#TM@Al6xEBtqx*Gu?44>&Ok6ZEaWeqexpZ5* zzu%}eHccLN4Ml{7IQ8i8DHS2{?j+A?X<@A1T#iQVtP&)Oke+&T-8i=MLw@j@3UF$T z*(|fLsC$Q%z&ewxoSs|>`gay=-3rL0bEqe@N*iIOAcs=@8S+Y zPfQ46$(m|(S^-%GKfOR|O2=s_6h)zY|3`f1W%t^uu0dkcvA*||RQ_(r8!&|PXJVMY zWd|VAwf87u;-VkuHN8BUcnv@|5Ec=}sHrbJkiKnlP`ePb+NJ z8%q%d2~9u_!^gY5b<~C|dS@IbJoJWSjw=(%4eGeGdq?rO5kWT(G$z)W& zi>{DVXPkcWO|R##x#FQ~YPCR!q2{K?cP0^0;S@}nd;0^uczHreN=qRrE#-mqZIgol z&yX#f<<(lU605i|*H~DH3c*(1c{g+mQZrIX z&FFY+Uc7V`UIWmVMDE~8%wKhinPVH#Xao)%6A*(&cF{~i$U3s zUT3AUF`nGv?c?;X({VhmHxG{&FJE;s^Ct4y`twX3)rLwXuxr1XfVfc}$Mnx135@LU z{QU7x@#$xcg!mlAM zO}n&2rMtrw1VLbE;RIkphv(-{e3p-v8j0{bjetURTROw1bev;EqfukB`T;E-?RLeh zHD0`Y)d@}<&9>5y8P?B+qQI)Hex&5Mbw#C8F=FD=H$8vIxR-f<)muadUOYyM4rw{A7F{DgU6dYcy@$wboi7EqsC)n){c5GOI%5epY6hNP0QwRwQzWs@J zfU(WQ-s1Jhjy4i9`jeiOaZls3+w8Y>c|Nqagiyyv?s(i&Dz4gQ(Q8n?>lmBO&WewV zslC)p?(lR5PxT7!?FHas`t+_cZ zO)ZpeU5-|4#6}cD#!Trjbo^eZt*+y6=_XKQy7e7NR7})e_hGf#P!#31W7@X%Gx{fQ zATiGQd($o*hLmrSlHs09wYC^p@@^5PRx1Th^(G@b@s7uF`9c+2SL`PyIgElyeLX6g zdGT@`uh!h0`kH#mcC19FYC+N@Ftl)Dr+u@pT)xVw14SUH$sJhesz7!(n9Wv1QMm1z zWy6y98I!k@h%gaFQCPm&Kytr-BRbX{j#XdV#IpB`ao8lr%^5&K%AJR5ojHDqk_|^l z&W>g1=v;5{3NIb$$DG91*ZIMpJQZwTo_OQNmyc4C4Q51#c@BJ4qPpv?s5s)N> z_m)L5?%6jUIRi&yeKY%at_Q_Im%M!9t|t$=fg@%6sjJwFtcWCL<&&P}Ht;kywDRL= zf2XZXgGx~0FqjzoZ{2zJySGnlxPI|&KK{vegepCf;2@~K%r6(cMsSEb^mWyO9c*~_ z04+6U;<^R%+Ak)OlooT-J{3jb#E}d5_^3(Gy7R^1qe}VNtIYrXCK@V?gs1rP!oQCt zI=1sGl|1TrwWeciHai>U|D2bm)gX!jHk-nGE0UP<;!hvB?`+MrI*ycX1fWO%(L_YG z&pozp*G^h%4kIZ(Wb_>6DtQlZ`+UtwwBY_Wj#ImkMl5YpE!7d-@dRI z>AZ7oC`TH3-L_N_dJ z&FCPxUj*O({Y(u0H(!TJlEmS%GepLO5E~zP)8if&_U$;%%6E2Ss<#rK6UyuVITc^u z&e^nhoOo;vK=FxpzZ3K@5peLyTYCEExp%znc7^<>8n{y3zSR4}LO|k$rv-lcoj^1i zflb9G{^Pf1uGQW77^N10E=>ba3GNuzTJb71k>^mUZ@ufKtqCUC+RdZwv|kxYh_iH| z!!8q1ol1n_Hh5fApTrzh+u?*$mSi;b0YqAp5EPLb?L{o1O}89}q9{m45F{0f-ho>4 z=}>iZfP`50JKNkMF=T2Z z&25j4H=Rc9;2Y1Y`1Z>Ih$1XqW8%O5XrZa~&b3BvQj^uv-{ak{R9&Ds>I#DBsRvDs ztpEfC`=clde$^2q*xiYp6-D8c{~m;3I{*%=Ol)m7!HRpKc){l=)`-RqwMKHt=<0)s zv?d}8GS%9P*h5iy=P%kA^Gqu?$D=c^@$+@?!`C&uILjHT{{AOz{O)Z#Cd-{0#DxYOnZ`aI zZI?BtFhBbd}6D4>_y z&BY!jl1(PIK9dO9x!EWyGN*m_V-Gbx(R9DpA{-As0fo?V5&CB#CpwmcXBzsPX zG#UYepZG}KOKw+*H-6|&v^Z**o;?R0{B@qn^}_3QcE%1@$V^so?vl*9Z3?YM_rlUg z7SJYM#!?@M+86>rfE3CV%LUZBTi>g{y}bZwY#=6zb%K;4F|D>v@g*pIV41*h~5%Fx|E3uHFd33RQX>*ctpZ;C9_1T zEz?7MlJES9-Vs`kfZRu*W5c} zPfhTn^ni_zSGmU+>@P7kUqw=^$ceKO8+OQ;ZSKjQUeusTx`?GZ7`4TzTLwok)sAvh zYR^fb$>e7#Yk?O*C*SVTeK{CKy4ce_wbquw z(bipv54JGU6N{<+Kb1$C*a*eL_ydp_r$H2yN9tY*hX}kh+wD#A(rkZr?{8%J2KO;h zVGhQP6p4)zIe65;hV24&hxZ12z^O&SmS`@vo$hdB$Iu)|vLhP=(Bn^lIfSEidyxDb z?T(clGHR0#A@(rh6sM*dKK zC;$)R4?t#`294T?Lw2XO@S`s4>;eoKt~wW#!7cTpQ9)Wp-tf=Nm)*{LYc8+TQDg^bTp*6ZzKbP?boLU@VN#LyMIN}4Y!uBNbKs|s;x1D-WT|W@4 zHY*k9UuDkJCRf|BQvydX{G8O3yjz_4<#O`aPk4U%F^{%Q#VXYPALFO@!(=vc?ego) zn(R)NxOA-_0pV{E;2*^P{qN8tZ3Tn+i5x#^=hy$Kqk301QjC?K{qs$HeQzD^_Uj+~ z0^>oOM_c^3C|>*FHvm|&@DmRF<0zuwo)p;yE7SkyDSG#9UxN0(zxf8%6JJ>LCfNDK z2fy~b@8idr_un5-f31!PVm%BjVv5Ai{{D*xUZU|%*t~unTYs~|!@EjR6nehWjp@(K zdWa+Y^68)d<&@5eUuQPGD+10jfkA}L~KM@`q{}4y!$)ye7;khvv zJlYnmHxO005PUeL>|gPF^3%4G*Gu7#dN{CmV~AWtrd1{t2?XB0Y+tkor;@v%mi;0H6HfpPYN|tcMm@ zv_`(RMrV|0jKO-3FAue;iBCUVj5%*UmQ? zm;e9SJMVy~uI!J0-kZkIdoPM&Ljl2pz4zEPG0_y$d;e{c%_iAwda|3IH9grFqe;}* zD~i4M1}X{y(%Ue=^!I*$i~+_$!Nj)feExFY+;`u7Pu`h(&pqdRcF`eD$@&duX1(rD z^|3Z+6O_F0!OKp&;S;CXMeu){w+@rp#6RwN3Gr-0ih(5C=yrb+6K}Pby#MN7|0Z{N zp+g^L-#T9U;qOk*(Pp#p!n9}6lshig{Caru^xMxl97|ubmerrFrlGnT2LJ#d07*na zRHC}v$=3L#dhqm{&tK%JT|MS}^*xz$PdOYjW8{{1r;^;Q$2A(&wc%>bYyR6(zz*%* zPmJ<2+Ql}!Yx7ok(Rb3js8rX_Ci=Dok1=t$;|BBmv`G3*deCvSMNAbAuQ%Vgvx6y!t*R8!H|9$rH1v3MgjL&+8qImz9_B_U&(?H9Fd$upxmw z{NfW1$Cl3jjV<49qtf6!uL&Izz#}g{dGQB#mH6g^&&gSO*5Q~zRm0QYKSOxfjU}aV zC2h_16JL5ApiyfO)DQ5VUqjh*P-4MyZ?+$p;^h1}a&!%c4!p_UJ?~Rgbov6lT{-l1 zQCO{xe!IM)aNN&1ZjK&Z$)r&_hwsOasNs0#a!O0j65n*G7Bc;f>T*4B9p znK7hU=MTWh>7%iR8j)lPt877RZ)N=Llk2}9cGD<`vebW;Wf_ky8dAD9JxTENa}M3{ z^mjhCcK#}q#cqg*PLsL1LIb+$DyMU<1^osOMvQTEXjy}d3>wjN)g>1<9^QU_6uIBc zoE3rWIVdr2l^>aw+Z~)gvMh6W<03Lwz0ScEA5l?!b;=z#rqUe2`FjLa=7t~Oy#31= z)z9GY{gff49NV78naqQX=(LgK&UPnH_iiel`G+23>tcpJHM&`6ttg5Nyn6)ZU<0x& zW5I&5o4`%?++5$L|K#D=!Wx{>vMdvr8q}oo2f#hR*{*m5INQ8UbJn6Nv)h{UsXklf z^h~Z5{l^c(8fJ1hCbzcHZ_Ka@oZ;d|BRnjYjGXEGvecJ72PNh#45Hd}kAu^~X0x$( z?>r74dYxUnK1HW1zv|GTb@ro42WgYySqXx}rO&OXA?qiNhWeh(eu?2F97 z1J&H|R0ZZ}9b@kr-)xGKMy;X$%>yv|)Y)x~V8W}18)GI9tMTnyLU9LFT@qYNun@iata8WAS#h_1bnS61z69 zdE(;6AR(nI`|?MyWSu*^4@%5k5lBe;84k`LlgZ4wCG*+1_!H6={X|Xm)lciGvpJ^L z$+AqXwLv$hvT#qm^9Sq^I31$SP*PmZ*0hz}G3FGlqLc`Nz}PWr#@=0w6l-Ms%t_5& z+utvM9+SFb@;GN}lqP})_%U$k(E2t#hW5nj-e7BN*r?W2G-=1YynN93Im!mevW&Zr zqy4d3E$mvh6SeUI^P1x8$JQkG?}kO|IIr>V?0dsGf37swk4yGCp-r1UNK!9~%1a22 z@*_&^C_1%o-?xnJzli8_e}^m9?;Lc(2q`u!=!3_easki^oo0NlOr ztTzryr52M}M%^fM*ld;&6>enb?Bt=_EHsWkjE+(=;r?!1)=a zb$4gLkijUG4XJb9UOwFW$^)$Yc^UdLJ^oStOu2K~1t(#HCJtd<=3JEJcI_pLw~@Z% zhdQ;ZDYxg^%gD&G?9iV!!j0n@$ME&@r(?(X7Tw2{LZjAj+q1W`eD)IZPv>D%Sm~VF z882_23!Y;z)Uj;-BC3k32yYY4h;cWeRJdNx|7F_s7>Ug~l$??>f;t8ergBU_J+S;E zX7o-YFhD?-W#+BgLq*qj@egTvrHMaFn|}B5@h`bd?3<0JyUcGJL-FZyPyP3@sKRQ6 z#zU_&fZENSiZlC(KhLCeOI9)Vh2C@@)wf00?=@l&9lIy6b@@8{f&=I|bfAOdC_E;b zTi&~yjdNB}S6)kCyAY;4e&+@I>pg7{D^Dy!t+U%2YmkY4w+(k{S6iY76i7%;w#F;U zo1N=75*!guY==v)Q?!(NbM`lF(qsMa}S`O3suIp-WOy zi>^On>==@Irm%g(WDjxt!?ilacV_Ber?Pq3Mocv(!aIa>%U#o(>`M>?Qg7@kClb!-8lIsZY~GkoOzYM}N4ILxeOxJ8wT|Vc zC&sezw{!~5o<-@dpzpx`7quOwWyP#sxB{czNc-dt^cytjDvsF2wP4VgsThsps3_Ml zuy>$CdZaANteEppW{x|BMkCsbUo1Gvs2Q(b)d->3q^ZnV`W2)5m7}i}SiK{H{^J@- z!ppMrSWIRG{wft%3UGIKv^B$q3#fvo)23})i>^O;`ZRj<>&2e!JBexAny$&+9Nwdz zefnViKO4K&?!aQS&^oa-$Cm9t!1-O%s5NvQmCT;m`%qal_RXnQ7Di1S>(EYLqsLHc zM2o6PTcZtfW7CH9wCmV`(2#2@Sl>0J8>J7GuzmS9ii-=-cxmW8Xtb04Z_L^JJk~8; zgT-i}OKKuLdiA=>qyF#1l>&ANSZ!AFPTkEd;~XPRzL?XCt|>2E_3>n#K0uAWgiaj? zqE&{dV-r+u70jl#i;N+ecndV`IY!EQ4Lk zHY11v{U#41vUMw`HnX06hlu0qOVKE`sEXW>v{pg}gz>;z&!W7D z!{utQaMo-Ne7gsYQHxc!pzWdI$yu+U);Mlp=&P&w=-z+8F}q%zRj?2}e#!$R!9818@i(Q95v;=9kj zAah9;YKt2d!Aw9eZ=Qbjc_*i0QBeV(KKBvist^PLi^5F8v`*Z1&xIZI|1G#u!2TEq z_a30V`=`W2Hp~h1H4DNpf&3oXp5XQThqJy4s_Q z&1RX|tKzw7`ctf5zK99km!j1+yoXEHc;FTIH6HHH5yqFx&NSE0?j1Wgvg;69FD)Y` zjKR;(-{E^%mU;crmoaBRtz1nF)dUiTj6`*CDehKploc8zZwsA9cI3{7?)_8ay&Qb< z*8AkID?%-4FpDOlhlcUU^Uf9JvQ8Z5+gH9pQEZ>@SkxwZ-;>I?sm(`ZUGH2;TjL5b zxCAU_Gv1!g6(7{T0?Mf6uWi} z!_$2=iSaUL@?_?(>`I@$*ET&VI=U5iJb2GV+uVHjt$cR&BXoz2_}fA-M(F80uswN) z6&Mdm_Mj#!RPQu0>%9;0(0U_TB@+82(Yt^Dt8*jguvpA&U$hN%t=$Qw5R_OmWR}kR zjT!elPO8_fT20*{D@s9G-?m^|2^q(Z(y`OEjb?IjZO~Wg=nzm#V-qb10vhq^+ZsU- zh)Z(T?gH@e@}#EAEBt%eTs)PfR9PZuHRK*dQKWTzGRqeBK@_*qt~F$yg4IX*&~0MV z&Y!DA+fE&6+o|J4+e~=;HvUui8S)Vse}XZzswQ>p05Vn|hD?Rs))>{4ud3in%|Fqg z1p!h<_a>?L)z!nOsjlYWuXg7TfKpIl+GSzQ+(q1U*DVfh*Z#B^`Iw0Kd$g#m;`FL4 zO7ANoDD=Op;*5*SLq%l)J>$(ZwlzwnfI@NgQvyU$B)(JA(Sboh5#;6lm9OS5K-<@L@V0F_P6;j|+dryFo{b1Br{h?EzfC9=2U zF)vRMQ(eVXAB#$*B(;C@`t9LWNf&F{Q-%yBJvPWyHB@Mah1soi?kHjQL zS(dclR@Xa!090lTdsgjc?39VF=;n*yasXWdTCF?BGg<*z^~Y-KB1VHNaW?fYO_*VS%IIQ zzeCDaWmP4H5))b)?m-X)s!N?G)s>}{_0FH)QJFO4=487ZKsP9%Q4#D}8ckAsgYHjB znS|B7%QYNT(}YB~B_#SK0AkMjuKT1H*mh(ut5zSzJ0gK@6R!_3eZ5Y{mgQ;q1o+W& z=m4kP>#*o3{xbVb4)5NJQmLdzrHoJDyqV;pBd%1?* zBL`phFi|; zKW_hlTV9+-V)Es;sV1`tyqT~M+s5m6y~n9M z1uK5O?HY{GnSz3Rc5mH5OqUY| z=$tD?8>$Rgtrk=&wbOSl?6@32mq=*%qkQq>`y_YHp;G5YW_CBacb{>shjq!sM8^{o zedU}BR+|-M*~y7>A&wk8$lQO;fjkuwHa0Fy=b={~Cp6S?2Tu?LI(JEI_$&)}1bARQ zf30Js-k>SXYWA+(bJ-n08`h?g{_}cj^6T&j*D~Cn+_B{qql^F*c;E*@8{<=|AAIj@QM14}u_|?f5WXE&4YpZSp86_aLjLFG-^> zzZ3IH)4FpCbiQ&zp;n804O#)~_fEG}uHdo0He_@Q2Ug#V*#T zr1A7?&!ag{TT-b|(!EE+A~-TC8qp7Eq&6VQ5(-&aZ)+5l8a6NAc-b953x1r(zLonh zRhsc`?Zw3VCfDmIrF8GkI=^+Os~YAiW`&8iot+nkF`Z(_ODjUzXqn;D){~&X5T~{- zZVY_w2Lkyr@$AB#}N9qX?3lKc1eh$NRPgK$u0g6n|x(9&&_5tN~N;J zDW8jfS-{pg+fY|)*{0e_dY?2N|J$=pwo0W^liI7nM#gpQz&iJI)P@G9tXVdpqQP+@ zmZ(Wzl17`SFP{TQmStvt@huq}GO_3__{aG&?Xelewy{SVbxBELhubdH#zy0EGmwzt z98nq8E{wA6Rfvr$F9)>^ayfsR!Bqw95(y2BB`M_-imJat;qfi0sm{62HyTExfo+>N zk(YZ0v)Rn7cR%9A>Cf@E8P7B8osTe?P0jYPV$L$ed<~)?q7+m}$CWIey`b6i1VNzB zgua+P?bRt{S*BE7fDexOuSUJIhxpG>UQx!%FIFO*R^V>-Le5dL`peZ6mlOe@P$(F2 z`zWlT1|(U+tTf`&OUt-hCOh@ju~R&$GkRhTHc%(mK(vKX_l>%)O7yz8`b5Sh5;yL1 zPWpa@BIP@}j(Os`h}655)adnWPfMrxYyma;YG(c4JN#qRGrTtTS$=r)-`H%ni=Hpb zGV8utj;c_LD2S+JHI_XROTYT1*=wuS8d9eA#H6*`5=oXQ*5u-gnUwo#zU#-Ct^c9(lzvwO!5cF*32Sg1j3^um$>^FRB!-mV4&2GQ&0)cR^^X03rX zqhsja)7e=#YTP(t$3@I9l2+6c=x$C_}i_|@yb1aW#QcB=O)#99oy$`N29mf8nxApl8u$D zU$ds!b6dA=L+p?kEP{QVW|b`zDRS|}akJW3b9rse+LbHG`1J(J5;wF4FARrl%>CrY zdb`>-t{q(_#$)z8XKTFbNSN4}HgV1wH&bRzBXnpWCeK<7iW=0N1#Wrh`iRQ9o^eG0 z{Q(3)ASC$O=9XV8%F9bBFE67_n|4?%W){u=k^Rdv5Q1Jf ze>CT8P0mlJS?u={lODSLf_)kdb?Ec-XwOR-t;(;w;5m&MbJxwpCbZ+whCRqCFz>2G z+TY-Gl4Oa{&QX8xj+BY{q8;NP(mi7rv zYl8@az_h3CrRJV$N{fq#ZXMg=$SD{9+lZog!G$15 zhooI(>^ll-Fm12GdeVyG+_c>$+lY$4ytd}Z?n9_7j?qbVrz~V-9HDb(d*t{f6zr@*QLSQG&@$>&dVC6l?Xnh?u9Z{w z)BR69%C_#CIDPaqqMJb7hDxL}w)%4MR>4B+#MnQ4&rNaaU=~W*ah+3G zpytyW>v zN$9D>hXBAXo}Rn!^hNu2)4Jmk?updMw=Byt-r+ti9$&}gBrdr}cTtal8r@t3A*@mJ~c(X-qAtcJt zG3ev#$MC5WF4|XlNhw>Gr{NvoOW#pLTjcz)S}gqf@%QBJ%|@wK5$+p3AJE3f7*n)+^%HrW%EUY8zUYc#^5H(OMdh5=VUF(K_#n^Wtq&K@AAyQp2OG2 zuSL(LSKoeYNLr6!pAA6}kYyS7L>2u84r;R%DFzL2iE_$8|7mZoAY8m^APGFL)L@0ciG5%J(eOm5#y_^)D z&Sc668{HEG%5u}$dOVn_>;S4x8##D7f&fAtY>m6%NvZ58s;+9r)(C>Yz?mah`OYHL zrEb`;qDoLOa^@r|%1ZI^^=sBClAn{q{vURu(c2>ceXId!R9bHS*PV3f=B#z}#b5tP z>54Lxf)ZKI=j8TdJoC*zoJzD`h{2P`uy5%Oq{H@wnIud2_x2;ciCp-Lv2EpgR=vBp z{=T>WvVn&`c^)6Xi`%@P-usfApK?$L3apsfacDDYjhexeom0$QxM&JlmYKI@0SB#T zun7{atO4B9?>5{tZq1*31<20X&9w0rI=5F+khP6%IbrAuJgLsMQI#D@FhLHs#s_~& zDX4b<0jS+BZfn$PHGQY_BmLWSR5~p-!HP#$HKQkurM#jPKi`06ogxSJ?ImOJaeLJ* z0sO2%n7nIw^!>+(ifZN1R+eSnf9Y-XyNrl}f*koQ$M!Z9t{dVihfH?z)j@-gu$e|L?Epnd1}T@D6dhZtDldBvBLyvO7AAItCF3$ zk?6{l7*C4mPDT+TIBq@#5JEXc1kw;8rEp|R<1@rU`#i`hSZF_>J?`2|tEM*p$GPm9w+Bs~JG;ewZ0WU; zC;$GJW}Q)Ay!9#7JB$c|fCU4KPAtMVz?Tj;P~jcL-~ayizh9}&^K;6sRM-Er>_2gU zd8$2_yZ9kRdZLR_b8Oo#2DZI6f{e$Hz08BRXVImjK=0lPy7sN**QGiF>*7$MrWQR~ zq2YyC*c~lSt>WYkLTdRp~)v86$Myu7*xpxBP6yp}IqT`76 z+;;C>mz26?GMkwF_V*~uw03cR6qpNa=-n#mbb-`Vu>Zd-{%jE{V}oN{VO3JA(9ykL z&lX?*YH+pYH8qwqSLHhYOMEtO1!*AymPlXBq2AA{|{u zjl(f(jg8125rl<>I~-rLd^x9=5%?CIzcE{L?Tdd)J13?9*JB+TyuT9+dgsHC)r=cC_!%smZa%weP@6 zuT_Y8Mg6^7WebN79ORXI|B9!-Cj%x7qDSvul$I1DS35o*K@h0Z)m_r_ao2iq>&!bY z>74VaD%7FEQQxDgNcYD&ySOH$3l|O?F33XB(NPQM3{~t-+d}f7Ud@WzpPwr5XUIOf zpAp>)fQD=K?xiBOOC2@4K`VHmlgrV_ZfFE8R@sV2FD<=>P36?KOhlD}Zex0rGO&03 z`8KPS^hGNuIaNe>hba2pG`#+v0)vAYch9X4nFQ-$F1cJhv z)+lJzDURLh?Wjze`ujI4j2zswn`0{v;T7i1;F)8H@0LVCb`DB|$|0ISAt=$6v`pXZ zcYOT(nD+F&mvl~J>S}AL&98CNKGL0Snf8$j7k`Fh#xp3q8~yDmL^7oUjvP5ie0)N) zcI0x}nj=Toa`)s)8rMLXFiyqiAL`*ac;QPSXHd#2RDv1{WbqPOjjg>5lLA-7{6p{-PQR!IvNkIYWpXiBeEu7EHtqk0mH9 zn6nvYar1U#$b{j<#I&wI-(aX?)#7F7EA(_sj;DKSL-oMeHgUwZiDTcM-Rzvb2esJ^ zEgH|5v?tc8@`mh({L`DWeh0@XH2`UP+3z|K*ssG~}&DOXaK-U=} z0_U&fEjlAB-&)Ozt? z*lVgcP+QyZ?_ePUom@eY*D*%kI+ZaKC*Y=WW5|e+P4+qK-H*syTZBqhlPPC$aNBa2|zUa@>KJsmW9!XsHI1XkWt4{&53KrU@ z-Z-I)F8(|UoNYs0v7SXQE+8#&1ykR?leSH~6UBu^{Iq&Lg|=$6f{O0p9l2@b#dWTl z!`;h|ifRRo_rfJf#$agp96}UTlu_k(hS3k-$&kro>}5W0cGjYhWtmT&dIMd0HA+Fn z3667g%K;vF?*)f;TUVx|E^!odSC?zqzG4I8?zy$eu~rtBqt{kpGue=388_Ui)#?b_ z-wIg}s6MIZ*R1b}nEMjl2lZoplY4~lCWf|Y7 z=2Ko{dbQz9PEP%9pG9S+2eFMWsH=RzY z*Xhw|%aCeiBw4~;@T5jjh4zqrL0Fz$&3F0V@Y3i1px3~DY@fRWwXRW#b{_+&1FmlR zRA@*9?ok@ZYd9v!5`j?{-^tc$-HGZNLD9O3`bchz)c(j5y z-(EyW9}O>mdnW-w&N^Is4xZq}@P2>pcUqzJ!eEr~aBrAk=&B`5 zMg<<&9iw(zQ-TnxXWIP_I5>~bN3u!0{q$>CGetx}1S^`~R^A^#|z~AJ3w|MbOB%Y{f!E?8S>2gocC@oESj$PGf_!%gacw zA$_mpaIZUDlKj^hgJXLk9JBv5OBNf(f=aAQ^6(OTAxFjHuYYTDr{t?0KatbV9XT}u zQ=d?_wyR*p?p1$kEI!`896Oba!64Ni`(?h7jD7B$m9vp#`vOSmBXj$ck1~1MG^Z3O zNs?Ij)6cy3?3?`K@xO6s-QjxSWQCxldbfd1>(@J+6A~JVP2=cvl4J=F@1}RjDk{ra z_~8P4%7X|NA_x&85xgY4YW*Ej!cx!Ifk3^A777Y322pcN#5Im3%i7b7)>GGrBFP}?MS1*Ka5g1c~*&ybyWBay0HJ0$! zZCH1>6IN@3ZJYI_k?bSx6w0|svfT!$14Zt8?{AEpHqq|C~|wzbu`>juQ#^y^bu_;DM;XsSG^&aA6n*Ql*-99nf4eT`$9sGFyo^E%O8A|TMQwEOR@ zU%iI?KOQ336k(s&5QWjVh7f~edTMQki39uh(y>!KskisU7HXtc)?lKK#{qpbW6`eu91eq;^MbZi_nDZmh=hRYOQA%JyL!PC@VkXzU8bN4y`4qnH zWE{_4i__;_G0T0=mN=oq)?1o5*isJkthjZGs??_0G z04g@?5d{UZETd>^WB9ny6cps6*H?4;#3}0ZwG0?On9b`ppe%KB*v0qO2U0BN;z>g^ zP2MeK8 zfV-~z7+w5tl9Zf`*=lBA+7AqfJVi=-ne@R5HWW$NN<*m3EXQWEIV^t4i%Tf-vC`P} zq6qQg@bTlM_Ui3?k@GmbX)l|`^W%vxYO7 zr|Ht8VMn>=kO6Gzo`z|swO-8KEk#A2kweJO$-z)pN7jK1EG7#BCXQg&@=a)Tj!tgx zN`I=UBoN1i-0!xe*N8!MAKaI-xo2?GYLO)An%J5iL;KUATLN2_t;ILUpPoYpHk;-L zpj4^2?V0Hf%XZdPI+k^WiVkiL zwnmKgXUDDsbc$_$qP}DER<6H=j_A+M_1lppnZ!PKG4j?Y=+IU~cQ%mx z^$D~RJTS{9ial}}Jaq`;Z=Q0&)U40n{+QAYIz&N4i3c(UYGpkhf?Xt9tW|OPWR^qq znxUgdvTOAYY?%#W?tb08=#tQt?CdPe7BiU#k0FQxLq?6{;MV;PdN=^uDld%G)$5+s zKbLdi(j&%>Vc>|N6cpy;=B8~T#`EehY|JRS_Do@G`X)jm!dhIJ$IVU4y-z-L6-Mad zf0f(E4MMpzokMGvF|0!=(XC+lAQijks}K!76lFN4U$0ufo9g%w8vhzv+lR1h%RU~Q zHmcccrmtSho^`vi7%W70i6*&EH+FB_i69CrSSNGrWF?cvq>#4w3?-YAX(ebd$p%V& z@)$K^EThJaZL(UQEX#cM+K1HbvC>MgYX+84h)P!1YXn)!Y!nq2;^o<36Gl!L!;y`S zV(wABBMA?S;N;0nBuV1PzC&o;-5D}!1R1-Jp|UnuT0sy{>D{nmLDk3t3xMKWgw>>5 zZ)W6#F%*{+;il1`R5oAi=SnbP+ElvtOJ(=A9mK@8CMh|kMYhJ*$Bzg9^4L`v;q{Bl z0dyS_=@Y<%19KVF$Noa4Btm#Z0ka+tKog+C+sknQB#0tPtBCEqepGVvlY5=6k{@3G zu3m|~AhVQr(%&G|9D^u`WG+8R&pWy^>9%+93oNAk>}-lp+RNrm88wv=;~ZT~S!Ygi zJR^hSTQblU=_o8Lz)SW+dCocIA$U>SsB({4ZJ{2`fJsCD} z6tmv?n8Mv9NJbkvs_-L_T?=<3hgwkLfuhl$vrVw#8SROj)3DGo`qU5=7gfLb5=D`X z%hz#ieI}MF8$NNKOnz`GofEI_?!3F!gE8YTUQ*SCiz`8}mm4qKlutqjyRGTo6+Auj zSonG%?jasd4g$4CgTmq*fvBK)Ta$M(n}tu#MOAE{xD@Oyj(^o%C*SX{Wc!i1=-OuxIBsBrsSBQ*tHS7x*6-+p)nIPV;Lx_cq& z9i#JPSw_`@Y3rc_`&sGEj3QQ{eR%|IYIArBvis z;v3@4)LR~*TWW*oup~(w%R0iz!^b(f;{^ILJ!kXs2_hWzIh`9{A&?UJEFR~ogvr5H zQhGRw>1)&)o_h2DSo+H%s*9@$hzTHdKwsW^=2a>VS7Vhd)W|vl31{b$9n?^bH;x-? zqMHD|HYjX3W{IdHCN|cg-ID+OM*f}xB(p?dydN|F?|wo1~dvbJh9y5edABmKDZ_B)90(vVJVwOKiG z@-Qd%XK;G=DRgC36z3NcLR7unLja+aQa~{F$UgVh8d}FVzW=_y{yh5DldPP-l)B0~ z!rF$>IXRKn9(@U2W-VsfM4eni5aDcJx|OQBN_=swH0|c8LGm_3S;I4sV=M#&HAE5F ztTyIfd&DIy}Gh?siu%E>OAaXEmlAZLs6Nk6d-m7ri` z!eD$_SYkXoXC05sFw;1sW%48yUw@EC^3X}B&ofF&g_6!v82f9Dh#u#>$fqjl6V`k_ zn{S_9|M`c{zoBAt4O+ny1n|Iz zLOB<)T*O>%0!oR(Ub#n>Wvcy4`TM(XvEbXEDatCMq_ha3M!~W-Rknr|v;zJ>4P!uRI78s~OPZ%+P z-PRaGYIx$4msvjRS4vJ4QCeDzvQ))_2Y)23+fwd-?`byvwwkl^^Km;@G10Q$#=`f0 z= zzuUB?RZc-RUmcoHfw~sY@5=D4^8-|b%dIFPx84o_NNOu)vk5U&V(9Hdn@orB_4DWU z2O4b6hp)Vc@t}nJIdS&i1*jFdO6sV=gq0w{UV%rFB@~fx-!qT0V(v0Za*8P}FF|wG zoi88%lHhLsJoeHv{PO)AO42LqZB5;ND|2W4z*Db2*X(n1;o^E?>#ig0&B`In+lvV! z`k+#^Y{@DcPU7qBIENoN!pzR~l}vot*(uq-Pa<~E*YY%Z zqqH=tCM76PTGYtcH-AFpD5~o!0O*$5)4{pin4{T8nVq$QB109v|Ea^v?1>WhbG9ar zuyYEDf*@d1STS2oD5GHP%<)ZT4TOeCoqI*a1(DP65(-%LW+h(w@%K+VW z13!KK0}uV>@n)Z!i))X|0d$4fc62-Q>b4?x4+2SM*Y2-)xa}0$M8-CIuEs5dib|OP z|Axs@QHey)3B$N)?9EM{Gjrf{e6}wk%UXz9QqnKHFWuTVFJLCwB&TBnf`b~mvC>RU zZ4G|D7cR5=)9&9W8RU;?Nd}R{!Hy0k!lRp#rU-Vqn6EiZYoh*mM&|IV}g`{}n4vd;aiTEV#8%z}?*W2!Pb zRn4f(ET^_ckB6t%Meo;zi|d8?+ZU7WmxH2*ACjqt9cdr&*8vaX*@C}etJTXX^)V+` z!9A}&NJ3)M!lX|Rxu3b)7gDIG#>=K*RNN$j145c?+nAA%GYvR_YX5jAOK|)f~RlQ_cMwVpg`O)?pGeBWl8B5zPq&TbCX|7a~b!k-x zU0gd{4xlTv1jifJFXAhB%4&bIc#?d)35qBSVs?VFQNl5kmXap@$v^f`s z?TuNiMV2K%L0L|j)AdTTOKIP$z0-uWjvD6Ap3BUKA8huXUAVZ`NRq_noC7G5?T%DY zslbvN#)?g=nR!d|JLMhvOyb+6={zv02vHO;7$nj&lIc5j>;=zJs#M%O@zMpydrs=d z$zL;3RW?Kn=%}dQ*#f9lRX3ZzT`E)~2mwvayFd_-f~_cm1d>LjGV<073#zZ5znq=F zZlbQNj=*+7jC=A{TDOnG-QS&RYR>Pteq36?gDANzr4-@8iIklFfA-EhPO9qs z|L;3@dfDFC0=r9RVJS=Ry*C9!us{qNW9*v5#6*oTiN?glL`^g*22lY)s(|#iv}GHx zY+>1j?RB=zPM^8IKSpO5b}1^T`F;1zi$CVhIrrWEp7T7Prv^=cnwBf(O7+GX zR=@W?cieM#n+Wm_I{2YcRb9_PYXh=)&nA|rRZ-eMlJz@Nxoh5p>-O(Ha5~!$<}h=d z=Q*gVl@Nl*x9j}*ija^1ezEN9uc1uJCLGvMd>IAgmfW~-dY!P6Bw?0c+t#$Uny3x5 zfBEFMH8wJZK!xifF44||k3Gh)VeRWJN|MCdm8;1)oP*tBC%R8G%O3kN0fs;{!5X9{ z|Mr*b`xt~EG?I=cjGk0hm*+m}>T78(GNIuzjaflX#rX;}0U8`v*qXAkOKe!PhIxw? zUbW$eCW6fgQW9{g47VQ84AOJ~3K~y1%A_E4!!rPzBW#zh|yuD^V zDMMbqC8D8WVG-Q<^Cbih(I9kj5;9s(*AWTWbr!6ck#%!&`vVKFdu_v)9&Y{Au2jeQ z3p&aY-Ms$E+dTiyOCgsEm zbo&%s5jJn17OBZ^H}5MXB$}wF`=FlQut;5S+r^bWRL}GUvmoB#J*Q2w;&QvF-_^<= zAO0PUO$|3ViXC+D{a~|LFe#mFj<-lRW^2@14RMoRBGBe^J36s99K;xC@@i>sw(-Wu*H~PJ&8=&FU zJ@502kN-eWWGL(3_%B&UPqeW$xtZA<{L5}kIjuBRH&A@Ikk=pl9Tu~hQFl(l5n}bW zZItSe;~!!z2m)^0m}#Z!@Sfh|+OW21AKGv|6PC`v8DsYzvq-JT93tf(SMcZM&tkXT z*!R^z2j3U9^);Bn{k6UXQAQ)?8|oh%6i!&wE4;OO3h%BR$|s-S%g~`ezZJJi%CKQf zeq<8besY9(Ct(uY>i@K3=ILk)srMiL=TSQwY6{X z%s+mMC>L4#!D`OsoN058BL@z0eC0`6F0|5A(?ovidH(S9^Eh2jM$Q?HL+7(Kby5{- z{B4MUfD0!M9CT0dL|Te65nV{zCxh#(3w5UaoN~#S~Na~ky~=pb8HWq!)q}G zH`3D5#M%#5Q*_~coAd10yp`;aa%jHTLSuC!=l19D;**|K`oS}X;81yNjU-7_Nu?OL zLQfVM4s1wBURx6o5Qr+&fBqv$61or_qh^o6Y4ClvW~l+S#lWezv-rnLf4$Km?BIK% z!##J4h;ZsI*Xcu&B*GjwzRRo8Xc;o({+oYe?J!_)3IhiFr;AlpRZv$~OYh!&Z>Unt zjKnd#oxT-mPz17H^x)#Zb5Z3xzzKu;3_z(=^46dKPRZ^H6fPB+vNNPjJi#Nsddllu zI4KHGjQh5ZvM@+!?2lS7&dc^-?8$d zOPHHY02e{%zI5x~heavluX~OOT}QI^++LJ@!Z1J8nM>~#pe%BMBr#^#WF$%AjVJ$z zai0-|q~weulhX@Naqq8vpD}aS2_%z*8I#x6xNF_~?V;!S^#`vK{B|fuH}A*oa?vfM zJ6T&!LaFZ_jMQK=SQ$2L3`>9E%d;Q7WFp(oZ$#PXDZ}cFvN7(iX>{q{jl2GOKd;{N z8$`Q^7K2yYLpmpC@A_@bxa;cCN*#3YebXr_hTuakEI!#ATvi9M^7hlX+an|-ija`+ zMjv9*^l40*KF#k~QE?$|mz%C#yL0=J$ye#=V?yXaHlEK!(<7YL$1OB}P>8A&B$ zq9ZxE|2PQH(~v;=_H?)`W2;6ehX5C&r;O!}Wu9m#K@b=@cNF{H-jAZyV{4=sJ5v_U zAR)0U&5t$l?-$-g=Q9d0 zyG;nlytc+sWM|dC-(&eh_Y)HzOZL%BWD0@qs?KD6ei|;@bE}eFLKUK9+{}sI&!bYR zNSQg96RXlt+C8>LNOUl3(OkmABdM;c;In^iK#c|+0R#!508|{QCimP~diUvjvxd2Y zn@ooT=oYcC$5h@uw2_v9fk;*-;ioMu8GZE>t{)mvQPD(2Mc;7yUR`?ej5dfr{ry#3 zWmdv27|^>sg3aaGRh-VwN0 zYU)@L6Fq{_fq}uO(4fKK6@C5cx~+|^02qyRXf#?hnvOJ$4t`h&g20?X6Igrd3v7LY zk(#YU7CX7^-v6Cax-p4euHWb~Qu+-hJSdF6zxFDW*a^QFjMnXWHZP`L;8?eP)bFjw zDcN!3LgmmOn%U9^UuH&7RK2 zzpbXeuohjoo+(Ry#L!9pjx2y-Q^pb5C7NSf4mk8Zx(KG5xk# z-l89JrJPopy$dq%Jo6RlRhUdIB=t=usjp9jdc?@lY+1F5hO!0%A`C28{4fIswbgT+ zI(sH@37tthcmjo5!PL1k2o3W%(GP8mNM;|P-qLS1o&03CaI>waQGreh@a-|$AW|C>*=Bj3bq64}6p5M^3SMN6WcKgyhNa&f!>El^w3>v22Hk$xL zAOISz77aS@M%q`XoEk0_71OT{d@jyueDvQK4DZ?8sAAQBP{ zQZ3<*XfEa#c^yDg=FDLGCtDF3{l`gk%V}=DB6$@kFD*lqiG;<4k=Q?x3Dc%r_1YcP?sEIqdA2Y_gAM5*QZ9lvy*|6>ICDgKtZ6{{i&s)rS*D zQwix5N}s9ye$ck2uCkhAn+_5j9mj0X#cqWHG*@MvPKTd)}#MIn2%)Fww6uCl9Shomzjp^5}^XDt# zdvquMDW52I_VF|d)6dbVTP&TDVyQb*Lm0l2%oceo`fxq3-t#QY1x+YImGqr6hy@Sb z1HhhjTRFEc3lQizHi@ZA=KGhSmn1S%k8}Q1E@5%ujGH?hx#H{F?+!Y+9%K5BWUyrb zN6#K3Ecc25Dq_GukJD!C%n6*>aSZ$`+T*rM*zGpJKU%Z0yb`5SL1bbC1IDGa z>-_nO-bsDwo#feJmn4bfsi|B#Urd)C@r1;N&{$SSFun*ai>3vQLBoqb{Vk>vGwKK> z!{!WU&cfS}B#ABSHc)V?0GV9Ipb05VnCd^Lk|c?vhYxWvub7y`SjJAA*ikXHgImJF z>7$w4(4PaxvPl||O!sa->@wdM3Jb_i%cM*91O}xH`9`)Txmz-!7c?lV{nI<`W;>!o z?zJ^7G~$r#=qm#-Hq;Rn>De?NF>Mst2eZKCe_p4}g-_nOfhmI-m@*jfXipy6w~xw_3KDyFMIEBVWNbn&1bW-sLRyjB62Je+bC}A^=%O`@ zzheRur%%P@a2sAK}@GxXZV~hCx80S%ardZA*?w97fuduKFA|4K0#P` zTjA2{keN$SAwx-$i0Tzd#f1vL-6(?;M5TC%q(QzEE3HPy?LWDLt$*E0u*)}T z5#!yA8Z+MSIyt9Lv-*YA$QwOQmC7S0XsB)QE3tYt)~))O^fehMts1h)L74K1xSv)8LX^r0+e&Q?L9AeLJOLJLursqEsmvGvWH;i0vUs62%4Q(HjDYh`xU1 zuy2aZV&&yuy-4%+dO}QLI0Xl(tM>Eo2hX50eEsJldO#QQ({d37&%#WSB%=C7Q+ck0 zD8VQ8Xpn-bQeR@wnBm@IVNp?xzIP&7Z=XW%_T|Cr`)cXYH_7ihC-)v^`)@x(@nu=* z1N(Q=Vr*v4eb*Pl{_y3uC|sA1(xKsuEF1M;1?mJ9RhLQ$bcbNqSs8NoNV2!2Bjw6G zwx$eDznej9&n`4n)p7iw*i6kaSKEGX=%6+mwWO)X8l_>Y&crJ4z{1Y?(_ad7B< zo_z6_-zefGwoeR~E>wEwFK)?AY@g1YJ$jlb!81S80Zz$5y`j=?A=SM{Px?(wrsVT- z)c6*5VM!r`goOEBXV2$5+4IIe6gH2o*>>!6tY%A_RJJRTB#Ad({u^a`t5CXCWQeB; zN(sW^tfZ#89D@{u!(e0Fl5reacLcFq?Gbe?g(E9d>Cv|*na9$}UY&zn^4N`CnR}4j zl3!HyTd(|`(%qFPBo$}KCH-(3PrmR>$HJ_GTS8EaFUx_OiXk*p<(S; z0KFNwk$Chsk0P9s2(SlnOgzbvaR+(i*H3+I=cphEME8!SwyM$lOgSYdos&9q`jp-q zWuwJ_O|oJRX(T+%R~2#K;K6hr7Dr2}6{XCIQE~^i(qxf_g;VqE} zf`D95;K~!({PAbs=zMb)-bSy5iMXPy*n&(1kJNGRWB1WoWo}b0P_7n9?CJ^0mL!RH zUVDSRZ|=kGbWe282fWT70J)?f_i!FIoAsJyq??)=$k>vO z((0*tCP#tetib5$#Td`~3)0FZ1x2TeNZ)tL>-_PYLr(s& zeDCX4b1UiFJkB5RgnQd_VEcy6Uw1e==-`%8e4&V!-u(;zDEypPj;`h(@4tz|ZohuV zZ@>qien{QPdO};n5d;ARN}R_ew!gLE8=Y^#L-!E7C>DE^8C#f{;ORl!`O6j9YyG#{ zWr7T)PDOCIXTj-mI(h3CFLQR~X)G=?Rfl2!-F0UYe^Es4G&ty+7C}=%uW#7i_UuP&g=-`%fy67y=?t6{b zgk3yW`~h$7diRzI62EnDC8jebf~_G4f`Cd=({$X-&MlvRqx0SK(0xQs4#6JUiaorQ znCaonSU4LR{G)>8f&z_Rjauz_=B+j>fByALlxv(lpB)Zvrl9nJMRe*olmC7A~@ysvZ4oTlVJISR>h4FyVSQX4pN^yrNYVFw+2 zXY4zg#qxjsmtPcQaQ|nUc#oYp@ANq=jy`b)nyoWWwG4`bR23jmDtyMo>34HSou$U!eK8g?ehJQIug0X(D1m z5X+xvt0#MUf0ozz10Xl4IQB*Ab#2XoJ$q<4WejHjD;_VpKdcGYkB(VNS8 zdF^W;fudgH*H_V?;qdPLTsV2*OXts**KSpDV$U(}>(oOBsXyB6Exw_2t0>-A!uf)H zI=FdsL;&3)Y<3$v(|2QZw$M8`fniC*Zg`hub=D?~6T-X&`YID8K03aEpG>@dS?90I zd3P1^YJbBh2m*~2{>~4#+f7!+DF6lx8hlmHwoE2t*+ci^xZjS`>GbO6Xalvh;=i!8 zv|9Mhqd%utQW9llCA6m5QAt`;{}Qc1!@x-c zx&5xTJM_gxMY!u_ew7wQK~8;nJs~0CgoJn&iB_8xg+b1h1x{3Y71mZOSK@N`jAnIp z1@>wu^2@Fv6J#{iv`u5{po4FVrL~n^dw0>|u#%kEo8*B5Zn*EKhqhuG8sRNuUg~i1 z*|v==zWwW$dA}Zo#xk^(ZL4WDmiSlOlO&0>gNM=RbR?w=ysF)lD-_)K{A1YdHYB%% zO6_riXhJkdHU4c|>YMn(eNWT1S5Jxy3UH^%Pzzerg4UCo5$WRLH=b=b9nE2G>kz9c zs^EnwkE0IJFm&N4rrbHNO`F_|(3lG!lOKCU^bf#!2p*lc}tRn zDnO0P(RP9Ca`>vgT{xGA*rf2ghFp+iEUj(RuY;SztVQF$?_2oZaJ$_Ikvc@R0!Kv? zqU*-yG?FBto!E`&`^I@}O*G_~tjvC3IzrRUbvR3sglln9SBI71cY}4jqeh~_% ze~P)%uAwlmfceS&iH`Ct9;2c=;Ziw~+kJM}ExFJK>Tx<;2>9DSm(w?|Da#gzAm*D^~8-xBCt8|ir;w^fBo~Hc=^rW(P*qit=3?*S~z+97_o72 zBzEn7)pG^~hw$W!&tSD$5JeG%LPlZ8mL!St3uXM_H_y{4ESiGcT;v6M zRDy<1LT4nqL~sv1k3RQwyVtRq?a1+W(Bx(0@~g#96VNGuX-j7?WW?|`{i;f;+Ehgq zn^hF#<}zXORK8LI3X2TKDRX!oMF1|rNl;i2E{D5~^Wkz^Q*p7}uOEQIq9*^`IlA}w zVW%DcFVPVJbPKTBth}`Qb$0iuCUb~`RRQU|f8e7V>boa>AEz76(~z2vDZc^$K_*Zs zHeaXbH$y4Nadz_m(U&BN;OJoQ>#E8Me*f5Wto`MB*8XxmzklpGswyk|`dq5G#D*iA z$jD1ak|Y!grJv&_eqcP!l5e5cDAl7Ukm|e|iasl){6wX9XXz{4RWi<=IoO>jU7Tg0%l;aA@zoHvM|^>V>?M|1pPTC#IXffSFpQruX<>e%EkE+L%0V z8a)R0@INlO>749K(~FDkg0_p=?|e?lNp!axuVBzY2RA}fLnAML_)m^RH*lt#o&Q!I z6=6v-f8dCEy7gYlwQ;1Yp8?Mv)o1xKbF-QA9vyvnc)Wv6OB)f#6 zE|_f(Z)DwyRs3beZ)s`tcSaXp$Y;~8&p4NN767GE<#ql5g!T@{B>C*6QK}|@5Ngt^ zx%lx#>eA}`cAo%RFPN#WC~x<^V+VG@CHb5#k|g1@x=`2ZAYaCjzwPI2T1K0G14j?T z9_;Tdw#%(_9niz?SZH`ST_z>slpNmkyAvHuSvrp{LlgY2?UGz{9+KdFojiO9Ql$T+ z)*;%6@Bj70ZaerI$p3Htcgw*rH;JyVE+*lR3+eRK6r?cqb^A%8ggab?A~qOfYCe|I zde1QG)hH7}ZpppM3@Vx<{C96$k`tT4>TM&s1r&~{d1kvzpBBuS!Hsvv+ss?%yI+Ej`$rxBUpKh16|X~JS@ zzXW|upBUVd&*|%y+&Il{)J8pye1RQrZl|>5Qk#BBgZg1p`Fo=5S_{d82l^fB(X%&^ zLql;(F7G{yJ={#4Gm|dKo&B!u6dZILy8Mt7O5hw0Z0w9&N!FS3Jj#-|gbxkNlf|y!02GF8?{jsdJ~;aCjr-Rb_z3>HJl? zYH&~pwL&>I$ydg`nlf|*P@8I`cuN@#1Zv&Gu`vBYhVQW5SRrJ;N)HFpyPKMO}RjVWC&o)!BG_D|=!}2}F=ksfg7 zz=rqN^0Q~30AO9}Mh@zWkfnsNx2BB5?Z+6V?aQe>CvaGu#3#q257HwbP$PL3Sznb4 z{Awa1AmEZ*UOf*0A;?WaVq&}ZJ#+p%j5S7b59eYx*)f{x2y^+Whsm8v&ZXrrc9Q>Y znO37??Ba3k|8PHwdJPVhm6*{{Oq$j<$NruN?qhfCb_%l#QR`Gpnmd&)35j$`NTAi! zN?vL%PP>cF{bE`6urHijp-?hy*$h5^XDdRL0++@?%*ZIF&6)MJzMBsI|0Ff_2$?0h z01Sxh$>`Bz+ih1}QOTO!8>w*Vz0(4)X2TlNBbx}B;juNX1(leKs?jD!q7!b7t?3(@!2Vf{)O}n>s4*0~V8@wc zW!6K!^5=%uKoXo^>SwsXcEZ7DZ>(n7Zyp9<)z(#H2UR2X4&hMQ7xextm2N^DXLe=a zcDm^{suz)Q(G+psYikSyp+-v`l>kUco>HclO_o$qNx;FJQOW zXlSe_O7b~;m1Z^Bdrs1K$RNLd;hj2>a_>;m|9b*uqXxUqO5*IU3>?*VSM5j7Kgt(9 zHd2131WkyRDR<8yBs`1-KU>CH+j|rpJr8b)#1UP&<58d1nBHJu)B_Va^3GnwY9&s+ zorGCk88&I$*ZFEX_!_Lw_-3K~-v@j5?crQ?5i$gZ_ZUFRmjxHDr1(M+8&kJa<1!H_ z(=e{*U`7u2kLq}T?FZ!d@;x(#ew_)wdos^2zqZ!Je^$Roes?#b+GAImPhUb11yr4a znK@?;_pG}6s(rsHD?j;w6Yg^u*BJ?J3C1R~A|E2~$)~%KD-@i*RLSdO9wNcj+p}}; zfTp7sHh#2@CHLLy(bW0kKjd|{Ar1~?U(r^E?2jbWs3HGE9thBHOfvBaiJUlbk`}26 zkO(9c5s_v*PIQU3X(zfcEh?3|&2fOc9$e15=6_L|S%%GKrKP!wrCG=#Lz(hwU|xB_e>&+dE8$f*v#9iN=)ILW3vTmh>g;@r zi~VGX33~SDtz~>sHz=}CP=oLQ03ZNKL_t(glyw17DKcczP(+1{R#y{Ek`a&yB@zdo zN~h4it#;~gr_RAO^lF*jR?#J3SHR;xL%YY+1l`bVLS7(Is5)3Yev zSAxQ##t~>?#G(;|1c&;ylgVT}`O+`hyk-N&aw9>Vf|z^f0z^^d$4@@UD#d%0=T@N9 zC>b<9g~>Cgd;9iH?oXe2Y2@t8Mc%B!6>MX~9m9!?xOEzp{}<_S00GC&o#12PIKr@C zKtYl50?nx=?ih7jo3{Tx`Vr;h3x}1~CbErLCLSj%X53hL1PcW?h zQayh0jX>Qck7wD~Xyk~Z5V5C6h)f-vFk#QPvtb{B;Afm+=1=B1w zqWMx3F_;LdDJ4>hMHJ-N%ADy;pEsMKV@Gi8&|wn0ccXWozU_{UAP7vIHH)dU z+8)1i`8}}w>f<_k!Z-#EAIyo=RN~^}>DH~s)f;#4e}=vL_p-x&4zW)F0GFyyW8G(C z^2D~)R^Hq8F-^n5039Y^N9kF@vqS0E-<u0OYYjkrSNQbO?vlLBi1PEc?yFIGqkEN=kWm>EDr?eId}2 zBq7&$USBLYPudr$Xbc)A-7%Ya_us|vnG?u7e4L&G`udfYzZ_8%nR$2HaTi6Ar9Xe* zn&UcU@mz*Y8%xIF<8F zi=NcUQ@N+e?c+cm;i+mPCWdmvK)%QXbKeDk(ysf+S1aqa{^o0od<5b68UaJ${~8J@($zj^|@-A-0kIvbwdi0JZdib+VQ zw4RN)+?=yy9!n=MG?2-&X0Yt1E4VbPm@^q!3`j{KHqIx6e>n<;l7)BO+2*)Psp5er ze|F7rU3mAMjGsP{?2Js3lKT-A6@AV29sJ+mqfb8~E4mdi+G8Jz^Y^e!5a^TSKex7+ z&3trX8?Ka2KmbNyP1bG_x+D-7;)?`sc3T1eji?sMKkDR4DoRT!3AQ0u_~sCS!@ALs znoqPmi0OAN`c|LuYCN!X1sk@mCoj5)=6oX~$Bks}-M(wNT`t0$QEk#uD+@hY6noP5 za&fo{xz00oLho?CNX;Vfy=F9m$F6S4+KO3WL2nK8iaP_;NtIp)v4KEpr3%96gdhkw z0xitA%|A7L&yJm(J$42`5EwKrg~wm`1y-AtgM0UK;MK!^n_@1U=mR`snUS7GUdB1X zqQjUtZ7L5w{V3<>=2MWH%aD;HhzO6QJv16^8)r3uUT@%`UtQaox9q1YsF+tq?%5m$ z3{D~R3c>sizCAw(2awC<;$+TA1VLbE($Md`tmKjEEQAq0<0FP>$;iLJ9apq#Z8cFA zWJV?gc#p{<^kfyEXFNU!P&Y#i84c$UgMAerGzBL54ef^{NgO$y%B7YH;satB)o-Nt zp|cBZ^HU8i0#Ee1o%oo9Ht*dmrlm|_8dG3K`|lgV3^Ww_i%=WFJ%-_I@mXA5gZwhb zb~!kgOR3b8SE)&!0oI?U$3 zZ$i=FS=?oQk->`Re?mgnuFRS@zunJUZ>(d}hwEu5Zy+cth}lc$6BX5|-L}_4tI;uG z^3>}$?BF}Y>2PrJ*l{#k4FghAzVqrOr%KNu_P@-2L>f4ieU8caJAleBmQWK3mnTKa z;(|Dpf7;Ih6r&5{ytT@^yABXk?DrZukx?}6Zt|vfxMJ;$Uo?Y#>p$nf-*%yD*5H=hWNtml zgKs=dWK1;E@4UU;&s$ki%Fg#U(o)qzQ0HLgKeU8^px}1fUW(efstL&TUP0?FGa*-=taS9K`XnS#2CZ87EI->S^$s3<^ENIg);iC6_sX zA`}6XyQ~PJ&vJx1RA{tX9CkYg4(`X;+DN}{N%ZOKS@>DaW*o{ZmvRu=s^Fv9(RPWJ9QD$Gp&Z33;NwGg{Rr3UfdahI%lDG+|nxML)GG zE$S@v`%UN_0W@L6EVdBo_Uxp~km1HjeNY9#(ZMWz;BNZ&_eDD#+_RS*fBOQ3#bays zpE!uwWM=;2g$x-ooIU-&z?|;%{_P0yPNvS8#b=+ab0wqb@1I{Hkmka{5Wy3adhkT z-D;#b9S(BL<%ovM<_+CKIDF=08wb$Ag9mUVNBGS>-2Earn0k=8bA0phaJd2F6;Zko zGS9PVvsl@)e>bgm3xoR(BC(q%%B`uf3Aetj#$c35$amGdWNy!Bipa5J#~4ycNNg}G9({mrU40u)Ti0*o=sU-~!q127*RM(%9UV(_bnNvTcJPh(-W@_6)ga0kg7v%Hd!A-O#1woUO9dGaF zXN&JAF!PGoEhTmQa>rp#vQr7B|GT@jiDq(+H-?`_~6E z{mIRTz0M!-RR1g3dk*(wZe%hUKY96SHpYKMOoeouO4c594zKm-hJ%v$O=6Zqvj*c{QLZ?{QUhtbd**8A15m-lTXvXz?Kw> zRC$J|V|#hzo(Hd)mU*+W-Jq?}YPCo${>LS^ghJ-84S4&k+o)LmZ_1+qy$b#LX6BEW zh1G1~FaP}~jRS)bBb1!HxQ7uJ@>n=;A)%2GL^UfgUUnW=y@|QQCf+jV&*d2F>sh^R zE#=N8G%_WFBD*tp=3Hc=NQ0`D0COyr!U%U`O5P0;3r&zyg4fQ4U7{U$ATs)VojC2mIIf%jPu{EL~ z;y5RG}^Y0*5dKQ|-lP&zS>@|M=(zCZ@+&lR0IC|^|Tk}(K_6fy( z;VfN_?B-|7A4HUYH_JPx!-+$bxUzhLU21E8)M_=7-3f}zqS{<;lyd*M^`hyw@#dO$ zsf|~FN>1Q;6Sq%UM5EEj-`D+z))bG##>vxLm|WbO=~HIVGpP?j$G2mS^f_8wWsTf1 z?KW>D%dMomw3KywH&f+qK_@5~8Q-7D6DA|b1Zve4gt;S8+BCQ&7mD66dy&WC6|D*- zqqPK4=d%OW%yJ^kdYm}0EDA=|Cmi#8IcOCD7^m789om_s#F=Q+TDHBvg_gorOtL0o zq$7U3qG;=>;wK)zZ5nV>3dHxY5Fweas?0n{s}g(-au1j6G5GVn6q>~ zyLW6Sb4wO_hi8r~7ZjM%?dJ{ur_#i z(IrWuv!m@UtXi$1M{6i~cBe1JtFVF5vE%*P34*|blkcOvs*K{Yiwqh(5UoZ>dR{sg zk|e}n&!j>gqNA`^GuZ{%^zYH1`$jJ2?IWwXsA)td3G}u{uw;TKEx_e+@$r#QDR5UI zB9N?3;I`p&ZrVcOgTtSYGYn)3Poztx)rLBC19y+Tg8_q5==9GR_HW+}5=@vmnaD^_ zyU^fJM%m*zTv&?OEfi<13H8o0l#QOx=uTAA^2d{OP76m6Jd@w*$Vx^(I3BG=$FKhU z97m2EVDs-cBXeA~xV@-g*XHdkyn6`%PHWpA6Sq~uX0xKx>5+?aZ(D$OU;h{9zqo+e zVnHYPf0r$_Ems|f)Po1HopU3bQEz-Dk@!W z?~c2WSI4-a{*ff2T+YMyJ;bG=VyY@D7`SvWO0|mp`}R=XPlu@gvOIWX0B2k3s3E8MEtCa34!D)A1nJJ5@`s%i3--hjQ zUi3Mq1%cKKE9r+)89Z+Ew;bgTzAq$6Vq3<3oP#@g7DXB*wc&0y@7TiP1vj_4UeWpU zBf8YLePKft=FHQ`m__7Tpm(@Xnu5GA(pX6l1-`-6_gwG)?&#qz89RD)qDvg?_ z?th%Z{CpaWMg}e$j9j5$)0T}i4GBa1a#1Ib3nuMMG1Hq{&<7Z}d)h)i*}ah}(Tv(D zV`x}c#?BoNc$~qXY*|Nzvk|qRU}U!ej2=1Wrj5_aO&?L65`ZA+umFc@O9?)7kf8XU zxHWD{lzEJtIRdp#&9u3*(CIw$mZ5!ya(rhd1-+XQqXKYUY9#P*11g6av&@8iSS+^R zWf52G8Ba-)xY)gzpa1li2!cSrHwN(G`|pweQIVgmY00vXcH$UAhmQo>pVv67KKrBB z8(993XD;k;*!kNFf2Qn21)@vtXKMsOpt(|08%^rWS|;3cmtVVppg^Aa$&=*gJSJn=pal%;I}CtDBj?k6U^Th&Dx9L5F6Kb)8*x{==X!ABGS;Mi zMlrRh-3rEb8p(ie{o8FD6BSELlrMa(sICNYu)il->=Z!Zsbc!~=#NgT=gFxL;&9jz z1i>$4Zq=bRoEm6BRC{)P_BK=?Ke?T`!){Di*yVE3YBpie2l!IX>~<=v%888ZM3GpB zOyLtj71c@#-BsS#kr7cI-J5o}bM!)nmKBkHDw{4Ly%@6Mr)<=%c%JerzYkV&H7y~q%;w6RcwkmwqJ(0(GvdFVMdU>o%_A zsHqUU3N~&!K!`)hviWzB)XyV`xb(I=d4KH(6uWDXfJ9jcOYdmk*8FtI3f661Po<*~ zt)OJ$fN69|Xg?aTOJV|D5`FJgHPs;|`iB(@orB2B%Og52j*!q$p7_zj*ll)1x#(B^ zeC4PArLdQXOyPM>zNjfceOSeqF*hbG>~uJ=nl0!9ePeAgo2jj+A}TJ1OO6HvnJ>aq z4A78YQp(J)UMoZvT_$vVIm_q$i2Q;aa`W=&8l6JYuajAC_<;NaIhYS$BK};2--0Wo zB$U*hdl@@>8iF98l&g@t6>XmH7Nc+RlrXFZX$OxYmpt}Yk|d%A#I(Dknz~~TRoko4 zxb?K)UkSu5xd}~ZUsxKz)@nt#!eb=5L`+S$rs87<-wmzJEi`Bx{wYRr`Ds zR(`yaEGluxBsPC?fC%*bc+tId?d~Zte9!zPy#LvUlnKp566Tj>%&)9waM2lk=x8k{mOXu8($QmEwKQpDLj8 z(_Fe1b@FrG>WcK7$<88qz(8a&8CsPN*%fgSqDw(tO`Z33eE)b(XP@(?u1k_cT;KLn z9=31VLgP_027;-h5PU6O$oU|!B6KcWApycX^<=g32J7~ybG14tth%62=wafpF-B;wjx|n!PBIN=7vT> zBEsp`y$8>9?}5!?MWIr9Pf@q8x)Z5J52dpV%V9SXbwD0LAu= zrT9XbFLhmV(WPJepMCSk>#=0I2qKIo>b;s~01m-Ue6Oo#r8sQuZPvT7*=%s@1F<^z z8hq~#pg@LDTuQCrj#0NEiXsn8 zT87i*#O-olGu1~fS8(?@&o17%q8tvEoZ?jVSq6pmVMNlfYu-zrsO}sn+Jl(rn^?ID z>lqmDzuWs&D#GRD3ss2f%N#VpT2AK`Gxr+TtFN!6zNw!4x*`snb1>;7LYovUh@VJx zb1l1CGHHpHV>sc&TxY~pCPURJ*c)*mx^FzXC^0sX#8{s(xqazkZeO~Xw?24-Qb)P} zf=iHLHu)SX0|%wBHE|PCv9FC?ZDr7CpLc%j#EH~Z)seX;16zxY$R3g0_3*vz-b?A5Eno zE02KC0H)8I?N{!;gC8ydqJ}G%U;*OIOUWoJDdCGVM<76rs1ymAo{S&}yj!@788wwm zoir7tO38!wK7hk+2S9NRTcg%$xOcI~>6(?1!O=5m96OuF&|U*czDx(GJ>o(-ajN#L zUkZb8-pIgd{=)W3mH+i!PA5fuf$_xVi(Vy1bIsRuh?dr%5*!VpT%8 zRmGyQvp83f%dxsV%pr0Nha8ye8z8xVJM$DYxeLdr@+i9t9B!5p1PK%SM{?Xj^ zo1e6MFXee9C?q8appkS`NEeA97Q1LAbW|vFA6U|EKY&qlCXu}+4Q2gh_9M~7$Z4KR zZ;~XDx_u8NXNw7r4Q0}z*(jB&tDLQa9|{`14xLrT<&ve6B;8b7lbw;l;fvV_YB`EP z9U(LO;}Qhk%G%6=`VovAJ_>z+fk&4=w%BbXF z^z7B^n)ec}3LvMo+AoDcS8gS7jDH0xrP}{*x5?N*sm_dC=35oWItP)Kmvv1CP(?{8 z4!eWH8OO*mmtj{(MA|gmJ#`_6(vFZ}x`-`EfuYQb)zONgN{uoy&}(ZH!j0RS0X+vY z;Qz6A-hok^cl!U#%=RK_wX5D6MM476n=!@MU@*qGo#UF=Nu1>DluN%{&Ud+%^1I}c zOX4K9<6dyL0n`_8WBnfHCZ-|zDs zKQxywJQn7Ge|+KxQSIH;Ar0N#orC|LyLbU*ZwP zL$$~unas%nJP?2PT4{Alo-?qOHD--KIzBdAz1YXOdw~CnJ%IpE`pA? zv8Up|B?X|yb9D%Uz~+71ITN%KlpsA|;-Opb;hoLzb4u>OZ;~+7I`Nqm6rBofLOAfH zC<-cJY|oG&2+W=|o8kRIAN|f_0DSv9-;5G(rGSe5{ytJt!cBEb=S`#Xy(-k+q5Ib5 zN=%+Q)SCVNuYQ4N{7=$wv}C_7!w^WHr$J06gzYCTL(SsyE=N1NmM{eGU@`5ZOI9{TEA(YxH}3sd1tH**{r zZ~OSsp@%>BMgD2?_fWMDE%N*(53?7ATg=L`%<-c~ zn0!+yReMj-Uq67}renb^^C`TbjpUlo-NkM9+=(p9mwdtGOvvM~ssbsXrju5zB-2MX zE~OuiGmWMI03ZNKL_t(sDG>_(g)kb7-1&{W+4%AXdRzL4O^#vZ-D|K|!lK=afBZ8i z->gOx)FLY~$95m(yZ`SWG3c+}3-=m687vw@X!Y1qkXx0AVZqRWI_ z4ku5)@jMMuKmBK0Fchbw%TI#pP8P%$UNou?;p{iJ!+DYa9hrapK0i;s^e5_LJcM*2 z&ND5TCS{;YvCs$n`GZ&SW*AXTPC_dywAWT4Su|+;L3(yqVaQ8D3CSqEAOBVK$k!j^ z=R1Flp=XF|0!d!xuUHI(#jUFHV-(*xm9yKca5Xs5ry5xDzzUMmhBA@_LE!GMKaBFY zGAh?3<)u7zXfO80C73--1O+*q0xrl zM^8WTOPb$qMy+V5QOJrZEJ&miwgE`&A%6o6aXc$^6 zs3a8+KmI7P9QI7SR0EXww0P>376SMfpcgC2bkd3^;38SJB8eC0sfk6CxZ%+ye7J5u z&Tc0Oxi)V9;@ya%h@vR`&%gehuHF5p1U1!44JQvB=UY#F|JugvGY-Ac$Slh^_B7U` z%Cr#j28gNX=H~k@-OcTCuFm{Qt&o%^7EpOZEkAfrOj{BE;$)^yB+h~eAEeMR42Q*xp?6vpPRn! z9-Mubmwnk~xAUiWUcjCVA%6>RWC{<53xPv?&U|_|yO3o1cbcPDbtVW3O#TtB)nn z>%wuOk=SXuxNF+6C4T%8vwQBkhgXlihAucHB%8+R88>bs03MH<-ku%`Z<|2P{u(^p zUShLjSpD!l5hAWuqvb2#{rZ@=CN?>i4y6YVE{7C5R?x3dS93}ZB5ieH&moA9b7K2;W5%ovwjujXf=pR%j zF9+LO4#V7`&6JoL!-w^!SV6P^^wPf9IWtFvs7}E;Ed`&wAMI;r`Nr}u^P#JpU+sPx zb4bgrlW)Ry{@xWu;hCK;a$MU+pL2jfTQ7>U9gW3E%(PtOeh!#OhXeN&J-|Y+UVSP6irerp|qH& z>yH%<#{jRDy^CFPV!kaM_s$N2%|Q$adTzLF2{}1=w6rww)PFpQtJ;qM7z?$0_19k` zBP08w(I-I=F1aBCm^y6+2bS!oVskl}asi?sVkVXZ00Ke%zEWsE+r;~8--_@Hx)7x^ zrc*j&I?4rI2>SYZIk~BlKp;dP;WTbtm4OX!y~iE*Ui^C3@Y%qe+4IOs%Vclaho~hL zOV->*%w-xtw>7uW+|)?Pl+x(5Ws44#Q5VrA=OZ}qk18fy3?H65hA?F)-CxMEu$#`S0JhP>%)6TmeuA^6QW4tSwz^+~b zt$vJYCYF6+HE~uOHI>!8_QccptAZ$MnV9KjzV^oVNlZ?;=t5{LT(jVon>ewvoa(J7 z$zoi%6y$uFVcVewcD=We#kXC&On3H;3z>c6!YHn(KXaDGjScu^AH9UL3Umhy?0Rn# zOK!jBMfO?8(j_;NUz5kd6J;3HT5h=S?n?$9MndDcIy&ukN~V@Z35jx?7Ez-bk!zfz zv`fAe%G#=srVg#YlmaU|PaGIg0D58lS~{l2pb}!SO-{pgwvE)S?c8_I1MEDwo8P_m z6bYIbRxMjK$dx{imp{Jx4E0(Ej+QP0eNLo~F0@Ipm?oy9H1;ubT%-q(q9`2va6j*C z-#}l6hM4Ru1W`bjoj~`lQ&_JLcM|Q77trd%;%NV&8se{;I9Qry%uS;0twY34&Z0Nu zzvAzwslAE!tG3c7c`>Z965KmLpgTxxW(+GIyc?}X%hB?3-uTU0f(;;RgCx$d^4L$m zMZCp&(T&qsI^V8XvzpW8Rh%uaCsPQQ`5DjGRGi*@hKjPoOq((DqUSGNv7DtVmPc_- z*`b4U?(fBo3!mZz6g+!f96oq}nHO}7yN1smR(6&cD9mOosA`*zyGp?7=YR{ zXBZe5pro`k>YW#g)gnsb$Xp{|8P^2-evb7wAmt8ulF3C0Y%ANtBO?evFK&60-su)J zSg@65;5gbq{uzbUx81|`1G_kU?j))Dcvdc7IT#=r=0;hTPozi(c;l{5|w0S5%gV2qr9@=PX6Jrr`ef(nE9|*3>L)55Iln~XspXQ1Ae~-ansdAX=7@3D?t6<}wq~T;GKlpC=-G7&%lrvQ zdJWp-I08LRG*&Zmw;K_Gpu>Z+x|x`g%!uolCubph14td0AN`SKnWHC<@>13N_*Z2k z2u8q&HZH_>r#yt!nlMN}Z#}b?V3mmWdEJeD%9u=STJ5 zMLZozb~^O5)U}NHI>XV@(!@aT0BY1E3gOht0i~C!qm?kSjmwzfa1LO%x098XdoA_) z6GUo826tsdn-h)(S(bVFrDv!%^h2V7w_n}O$_eu#L>QadLKoocMmAD}GF2J|SCbr|DB zzO&*h#KaDjn63ZKTBw%L2oeOr`(c2s&%e)o-+%P7#~ltyl6dTwKjH_=zKqZs$rmcr zw4c2)t~qz=3@+CIYP5q~)2DP%dEn^B7J&MDd+6=%CNnp0OpC#5xH9DA=ZzT69u2`j zfZsj;2kNbUu;_T_gU7>%Yuiv*ok$M=5vV;;Z#QMkY+Or@x)Jyml_0q7%K$TiLN zjSK{P(PJW3h(}Qry5$az9xnUX0#J8PCr+o6%#7@7*+icpCQh2f#0&g##sZJq&2L}) zBdw``QH}YT?cBd`HTeZY?ZZ>zY;*uhAd&|ZMIlMLGOqD?efTs=)CSZ$!dj=ds~fw~ z&+xog^OP)t6;A%^wcld6aUz1CqR!V%L$K~RQU;jI*RfV_@*)h+_M{Nmn zmHTuXs?Bw*S-g_$yde=omSukR)Ng1j(jl!XMBC+{XXh!bi;56L0YNh~TPYa6e{XXS zL5Fux{DJWErAxP>&$OXBefi&w*Xv=+zHMyLoP;^4fEsyfHUsUa=&!2d5C8oP5YDFA z`0NMa&VB-@ylPsvbaJ40FUxNEcn09HF>(CpSO3Ces~&|RD^>(SKpoU_yyD0u1)$-_ z4@Xy97d_aCAs&mMM^O~)z7{GDAO6?^P=~#ZKp;SRTIT2nUjy(N5rD1~<<;esW%nYb zB%%W3X?i|5a+G;@n7@zu`g0sPQo)B!O|%4qnC`Hl9X3DDoJ95y!fX-b7Ip;f;}?ETphPOd@D2N%pU#3Yxs*{*Us&n&IzJ2hfT*rQw?k=-_ML` zGY6ydOXn=&?9SJSot8uQj!N`d38>6EEDe5cUwqr8E`Ld+s$!`b_KYeanN-!tnM)c$ z;=-6*dqWe_{OqA_Vxqu6X*|1j?VzK#ihA87}Wu+qqU9W zVh5_Eu+StKwZvaH0mrchVyERI2SOkU_`97*XM1rsbm4S3MvNc^9bU9%KT}f2zId&v ztm0T%IpqxJQ zRA}P1@7>FU(vs0nzJ|XT)_t&!rV>4BO*p&5Ki$Z?}& zx1PXIkb-D2Q~NyE~*7h)%vdEi?Qku`=* z<2C%{@aForuuqRgeg56-ooV8&y&L)NFahYgi8FY;b|0p~bh@^kz&Jh?A*7JnE^ybK zS60?)iZPSu)iS&YRCf8uj){I>>I{0+{^$TvW#tJhpPMzviK14`xwu{$&(-nv&hCmYe*g^QQ%DZ@qB?->-@Av_30hRNxkgk;SZ*$% zyK39uISq|R1duoYW)JEI6$n}31&`eBz~9z~c3xyAf*^^wWG_v@ zZiHdN(uMG=WI~}(L`Fe}y%l$oI-(nZAc-Id1UnogHY%hbbFQHl^*tqMBoPzPx%D{R zJ1em+46EFMJ~yh$Zf+j8m|N$L-eD{h3i0I6e@)}=7DSJV-WUhL33^m9k;ajNB;vgw z_1bJR(O>6@_{=oSwD#lT*3Yfs-}XI$vD1Pmi1aHxXw%iKzWWXi9x3D4xmt88iIoc$ z6K}b=H_AuQXf$CDl?#IU8u7|a%Rk(+hZCMbo(9=4Dqr_BD(hb=|E<<04I5o#{GiPoH5zaag=a&&=ep#h+u#{vG%- zCSj8eOh_$c{L;dYm1*(0Rd@5p*Po@?=s{2vGCW4^z5DYhibDCpgA6zv%$t85TD^`L z>4j{upG8UxZ$Ol$emq?R#9JbtD^ahZuVa8Su2%R+AeBepnh~P^H8p1;J(71NgBB$a zBG}wV%76x2m7luW22^W`h!q54f%bRH=sj?TxLF0^Qq+!q^sQcQ&YQ#yi*JY;Cu%N! zA5VVg=XC9}BYIWz$2pKE84xvTk#o^$aC#zJ3z!nk1ll7vO{Rpa*OFqzm+#^?2mXzi zUMm6ueRL697|Wv7%h|JQH)rdbF&Q*0Uv?wrn9-xAF>!I2V$EF8#1OS`<)w04*1kvm z+6J_Q7sGNTy!(q+8UJE&R3OCf_wmO6JV)#CCNyR(Ggr@N_Kgd#cB zr(Ux{kG&IXQn*}wVqp=FYIN+Z*iSICn8c8oi3Nq^FQ4$SGA-_1eh1II_cHA>{ogZksZdnKNf|qOm<{tl@Av9sK5B|C`>U4upV6ztx2@#TYGO8`TU9>mX<} znbBFb4DW2BC<-Rq)$<6v^`SL9S^Ya=-Qi$FH|?ZNO=a4QS!~+9jrz_mECxNR7A+lY zHGL_hrlz6O>LVik0AldUGFAcJeCajXwsfHr!tWh_rNV1ZzQT8Z`j1h^I$cg){nHC{ z)O28oHE{i{i7og*kePey)qNUL~g!kB>}&m{d@PKQLC9bcP@H^fr;uAPP#lu#_(EO ztn4Hp$WhOuXf@JMS4X4HHTd_ejI^#HdR^1nV@H(}`CaIHx!w$~5ftZuD zpv;Pi;&D~1A;O6)dC`T)$$zkh+p zfBfyJW4pRLdGnc9>1yc4WHYh!j%5^HLFU}w3jV4EphTU8kh^ivQvyI~8lWIGl9+53 z8xLN8bv;@%8V%pN=}`t8{R9I6;-}j1`F;Gy`d`sftU*jOu(|Aixzo0g1;z8xSL^uj zz%gVLrdmqaJw8PBiALh*4+$lnIy=)-Z=|t#7lv^u*gvQsIN&AV@Sr}gN-K&&y4xJp zsVpNci`abue8cuaA&;NbMuA(cQ<;0;92%PI_%E9iX&7nRmK4+S;vPEQJ&eX`#%J&6 zj=URKJ!foX23t04pm|dV8bJ>NBs=0!&UDkawI1urp(p~CU0gpdvisKJJC^eLxwS}L z;omQm^O)CHN%^%U3m5w220!l#U=*zG0 zojcZ$k~F$GWPWKr4b5$XA@vcek5r)vMsDhS4IxgQI?3e8k*V;{KlwCg z->5s^GB&`r6FZPp5{qtJdd1^k!`Kk3HlTzevsg6UK2oMfiVrF2X*_V($ek6g6s8z6 z-+K5l`ntoN8Dirt4D|K$%Rl^r?(s&%SPk1=uHc?oH*?bsH(}aq;OMDpBtc|m!Cc;+ z=%({X9kJ7g%28a$o0zlcA&zgYN1tKEzVR4Aha1@!7%Zz$WQFt*GL1?~CiCw5A417c zw9en{Bx69w%9QJvvSKQS4;-LAIkNR|;_@jpzqkiq#{g=J5r2Ch_b$3^OyUo~x@XqX zzij}mU;qJ9`>iye?xAl_J(h(-k!9&$`E+j_ zijgXcLgM%<%P0b9I#!38$j$k{>3%xf+el1Fjrjc8fB6j^@7fUs5g!3I9(@_PkdhDI3H5$xuv2?Vx^W=Na z;V6m)t;m)?ALR2(?&9`Uw`1A9mFiRVsF0Xnd;?F{cMoRgd<4gVTISz#8@t~=i8e8Y z&P~S%IlU2OvT`6qrq&uYpVE?2b{<-bRA3wY%v;yVcz-<0C)~uu+l$z;c@s_JhL*B| zAds+Z3axAR<8A3dW!B+u8{o^g+{fIx(Y|RT;f?2B#dSD<_WZggtw&44scsxcTQN@= zdRB}_dzrIv=$TMSD(2ogkKIr2LG9KdD>7nUh?RF=yhGRJqNuopC!YHWum1T38tWQ} zlVZ>Y^nBy1-^5ii1)VJgxi`qMXP)ApANlenyV^py>ug4G29Co+3XrUXNFASgiL)+^ z)-$b$LZpDyS<{8z?~j_#lmGc^`u4fQS@1Y`y=pBnKaGtjL%N1f1|~sE$AzCMny7O1 z35A7BC@j3HV`pY(^MgmeMOS+VdZQ7e*~Gb;8lK($2JYf`lwgQ0f7;KNZ+(yl?z)c; zHm>JfeH(gF&D`Q;{H~=FPg6Jgj3M6emN!s%-<`Z;FGC$`pli! z9WpVyfP<~OQKb&~EqabOQ>sd3*{o$`=jHO|J8#flI;^v*Bx1R40-YO=;;!pN(yIxy z_4CNxUuH__)Tl8=!W+-LhW~^z$Tb;uJ#|OAaG&eOkUMm5y<1Kq4eLB;G@6*YVk+gY z96{sP5mG{E3Sq?^t4A8HI69ptgEegpr^d1%cRj&%4r z_UEVgr!RhG)ZjycEeY%RIQ*xEJ_`~gt8nbqCKsZkCfeV(qoynpYc}Z#Y0S!=%Ixf^WF=?O)z;3* z-da2jcH}?^*V#6FhZ;#RSxJ;)XiW6t>lh$$dQ3tEp$ zl7!ZwaJu#sA)5}lWq{lh@PpOgq^#};uheX0+o|0Ib7N4MhB8(JLBQM6P136A=(7?q z7p7D1Y-Lg?l{oY02D!V|?_l6;WVBuK$~bKCc$)2m?A;``z{=Q}6z4@Mttn|~6kS(@ zTR%Y36dU(^{XTN@uC5W7TCHaC)KU&^{}APbmSCrXs#}e>qm@u@5|UO=&|qPp=`_;{ zM^}Q!7f<9weFc4;eFP;xaZ^n^_>D)Revh%@?3rrXkJuv!EM)d`)4j_v8Y8nd-uUfn zNCQKQCov>3AontR@jO1ONYA#7e$Z7wz4OXbNXLSlj4Tds*nux8{A`Ep4oU+_%$PQ| za)PS?ok5RI9~OdNd1oz6Qw&H34T4HSPBqa~QN{czv&qcNVrKC)rcatmN@^-?XX`lI zT92ot7ugrUS=~aYssn4R1)VI>nJVII>m_k{DZTs8;J5eVZRtT>-oZCM|MyW{gtR&x zA-jXRbLUVjI^@P)CU%>6{7a9q`@kOFI=q<=5AH`(oEjOS69ocY4w6=sV#rFsT$I7N zbG6J&FC4tDwSRaPNf5c?{?A9<|L#|};Hizw7z_n`c&$meo7xF=bdzKkSyixv?951m z{LFE=U0#(p2op9ccVI~BiJsZ?b6`1Hz179Y&P|# z001BWNklOo1Z9Swli+nC`IZ4(?QMO>>crvD@<1@R-nw!o;-~1wRah9v~(*R&F7@0J+ zg#GXCLprM`XqVCT=;-UJMLj+rQBvVnn-F`O8J{!ynkqd%os+f4aP~L}8T_POm(2ZN z`N9?Z)*UOWz)>5yE>x$8EMC1d;&*EAXl3)0TTq9Ff?%Rog;U+flv&gGtm1EFU6Wvn zqvF6pV3*N% z>*(!0i@KlyQBu*bsEH3b$V|QTno1A^5;7C1u04UX$AugdAa7|lcRzUF6=$wie0Ugl zW2EtcK2yVjn;d*r@JVvbUv&nMN~Pw9%N}P_ z`Bv+%so5*^p0YMOmpFbhoDmfTJ=dfe5jQj_2 zeeryzyGz-Baz9y#nT%ULp7#!}XGd;3Qd~TOY{9jw65X)cd*_+9h-e*vG|tB1vI??N zM^|Od3FdH=YnU?aG6pau6`$S7tbOy80A-$DLt?{X7yKaWtMfg?eUqL*ooYr-Y6KlgZ3?{^K8MYi}VG3Vm$D zv72vO#mPMGwM;r;dRakjr15s?|$lbAp6x~Sv2Wfy{Ai26*H<%n{#_cpx8iC`PCr8&5( zTj@VkgFZJ2%L8-R+TXxzZvrJX0S;PB2$G2P`oge>kD?GK_h2-ST#~tL>2l`u%%-gD zF!?2m$;!>))i+RR-MFLG7Ui#ad^hog~*ni#J8XNS6UkDQK>Z~rCfPL9^l6N zSMi5^{}0Zo5Cj3gD`TyLVqTanmD(k8sKEX(o=rzrt)Y(~mpy`!cF9 znR7AN;g-ZA?2R1^=zCGJm8i|j_z8uKpKx)(&hPir+TKiZV#=7xv_`_V4VzHvRSX|G z*>0x&+-Z#Yg@|emJ3k{8Rm`o;Y){hqvU%KWdo;mguLYoFb5C~{| z%w0Asijza3P((S%NBF2!^)-C5$jr&%J278m%kFIiFORbsxX@JiEFQ8 zd3+Ha&2|oYWY9*>d&<;lOqqIdvDEAJ&|z;UH6`tegGbxm--Otv)Zdg|v?;KdimW(DOYnYgtI?oa~6kyfN$Z=ys(W%?! zUWhFk5?p%vdRXTxN0^z67SJZgp-PTH(y0+75x>*J?)FM1q>V>xbrJITk@T8yM;%F| zqpt&(+ZEOB{v#L-#zFrhfD@j2q_}WRs2~a$$EDKoUOC$2SY%%iM|CsFw?>+w1={<` ziVrVdLZJ|%C|*>ZU3tf9st%sQR~bSQBz!6lmPs)bSp-DI!1n*%gvM zIc@ZV#sHJa%s>3%`+V@``#8ECWEEz!boufTkIkBrNn>;Spx73a0!*Aeal~V<;p#(Y z(6j26tCwCo5?+1lHOi9*kTSvo#JjCWVINT5MeeF4RduxzNk_Nd( zI$DoDJ25N(I6Z7TzMuS@JOZaXkSApzswG6VgrX=kH8&9o29Z=Fzb0biEfK=aS!XMf zA)K--YSrk|t#qufK${SQ>>)*@{9YfTA`UK;00aaGg$XF+b&*#%da3Dfq-ADb_B=*HVrnX1ed>E`dFeg8 z{a*5CO!*0}*izcB;p4*;V`j~*SFap;B>ef+=Qur1 zLDYu1W^MgGG%7VEQ>H{57bEB{Y&u2k1-^F`hYxeuU`LgkgbvW9SP%}JC8i`CMDn@Z ztgqZbc4iK)4=d57#Un@}qDF-r3{h8qE~=Z^a3mxpMR3hIUninEoOz>;GoXsmWB=d? z8ml>+4N%#HWnQEYq15gsby_&sC5JBUIkD`{oB89(ClQ*$0*1%nB)c?~2^N{|HiZxV zb0eC7j&kuR2N&+=@qhgGnAatn_wM3@*{2FeDBdSVH2e8A4L z^*AL1u|XFrN++>o?&T**go2?ceiLN@C2+nCKwlfPuN%7+g(!;T<`!J`JVwHlsndx0 zuNZc3+=(0vF=OFuiZ6JF0hCUg!TaOiBQ)$Q490u8e%a!yGLOGT{8g8LjfUFhT3#)G zmz|A=X=!d?d|JU3nX$f7vk~98q3jdUsG+~EjfL5f82~xfOv-lc!jq~)R7uFEySYI% z37s6?gy?j7ww7mwufhLeHqU5A=OtEqbJbiAZ}(p`YaoWBCe`dv?&%Ot(u_2gS4fAm6Mn9 z+x^e;dh2#})g54>}=*WOttzq_(dHCbpnDY!Qd2k8$-G4vhva)&om#?Aj4U@Mh zNCett1~fesO&)zw5(*k{r;FT->@nT@iPM$5xZ!;^A3jL8 z-h(&f#^6>X3L<@)9=s*#sAVq`v_2lV_4ZG#C9+PdV^Zm4rp=u}UO~Y{7m_8@OKEb} zG7#uPohUJ7^<-|j{kG3^d)2>{RO!)hs`4anZC}U!6Nl((Zl@ss;=kji@cO|G$XP>T zq+r(KINQqX;z*G;H9m=o9s39*89)?JsybPgGZWbt43~rIbZpzRjkerK@kWyvi{n@W zf?9>Yqo0_C6L2MI(2hUPH51d2J$`z2okCZVPKMh+QtH?Qi#^8<;7=Y}tf?)=FxSk; z!;q7R90=k%-HI;Vil~85m2DNnuo0`DH(fj>?~pvT2scSUCf8car}ubhiJ zW`LNY7;gIJYSuh(H^~VJeDISu(K^GzvV?@E!Hb+6Ah&4rXr|ZW;rB1Thc7M%mEMG+ zkE5}pmlOjer;P31%gf4nW$n8hJa&REoda*cjnS(OcN;TwB2OKU%0EDHlA7CYyY*9h zW(`Ioljcli%EFms7F>L@S2S-5_1&j&1qaY%YMA-?d0c<%O@G0eUOxU-O29@#MMW9! z?A*YC6Nhnj_K|x9ot6AvA8#DrhLAptYvS~{s#}>psWjqPt3HOK2M!}Ag*QRs2|Fta z7vOWc(P}lQH5#@Z*hN=nq}ZyCHQ+vHC*<}c`-7O~=HpJ%pv_OjzM%r+_*6npZ@4>a zK@!s}d6;6xW?;JG$bRJ1p)5U(&5XbEJlEtV5gPE|KG%Uh!xnBp(cVjHeTbx_WS-gZ z3VUl05->>wyB*xK>i($f$5|{)UpyU`p&!e{Snl}yySVk1RcI90{`(zh{9&Gx6czoA z4r0d{NlVX&y3U2@?(OEuZMz6svr*}cgbZ<`3>(=UVoNu ztrMTmjnSt=5Cqy|?1)o~(73von-a%O*DV^;H9rZ&#KbUp##E-xnSROdX2P^W>blS1 zmYo=~v@E`V$!ER`>i?B>&HjCRd2in)4xg+bIN%{8^YSy^d+eRO*K!C|;;?7iX24U~ z!sMdJ%o(Gi;pBN@5@SIMfnFEAAD%&%8qdNBGf<7tz3W1R0zr11I)IQoGc`j8i!R-YAd0x_J1O>Ck!6`@x4e!g*NkA%ksF&%nk_nuH!&%RlIthq zHVlwZ63^$pc|SKVy@>&PCuPqbK_iESA&sC#8`M)Uw}5zSv|rkVsI9N%g|bTI_;ge{ zBSC|O)921IZ$be&?bsUEY}&J(7dEWpL~9*A8aDy28-qX0H64~Nq)8LeI_)gU&tUeH z>7!rp6M`k)%9NSYD4ji>q~wu(5(PmZzodYMo*LYW6H}gnn;%{=CZq086W2<>t^iGK zP5f`u+l1yM0uuG!UOKk@na6JY;$>eeI6{tUkm$6rxR^MeSo%#iS8QXz?<842nQgrl zylbvR(-ESuH=a3}rO5Vrq~sw%Dd6xRY1KF?n~9q>l(sC00&#Q3VP9W?HaQN| z7g`Z8;{kTqo3S0;!}U|5%TaV%9k<*b+2*>rrGd`YPU5hlJ720I3L?Gjy;0|ngvRE2 zxC_i?ajoGn@LQ8gd&G%*teM?DV`fw--$If0c)I< zq@*i1R{cvtqtWp2*T3>$h8XYb4zWx&TU4a>NP>JT1&5~c~MbZt9{Cf-E+q9WwRK5U5zQDa{W6Jj$s;OIs&hZh&YJ~!%iH=$}fhW-%h z0K_dV!Ew9+IS@kZ_455Me2XX7y@Y#KA|kP*OiRO6+QP}IV@#SDUG`!ynppLPNJIb1 z@(Koe`Y|J-6~bey1T~#?m+tiQ5ss9X;V~pdybMK?mE%=sm^`)gqUU{tLkAD>^5zQq zI@_=m%pxXFL=FaM*t?lYmQ#E=|9mf*sW$4Kj%{DN`(FySj~+r6ET9Kw{C$U7&t zGmxZ4e=xwz*nDC%24sIXqGsqR^0xJ%Nr;K!8cC-?n{1(H?`hOAdTcioLscinF^WF` z`T8VIdIL!3JB|g~`_XoJ302$CcKOg*%orx6F>tgVMOM&s`}xvWe!$P){3C%G$!Liq zbw&m~dDSet^LnI9MCbut-ux^8vMWTcrw9`wn)4m`)FBQ3_OCxCWE{PWTvlnxzV-2l z(S*1ZzViLAA^1iw*HYAatTUDq^16u~KOgf1fuPSr^`>`Gb@kCtFUqFV2tb`E^6Cq} z9`%}^DL7&8AGY(eKm6;bJ(EkKyK`*smcM3f+p(1od{sz=;k`;-`w=`ld@NaXc^<2N zpASV79b6rWYo<&oB_l1Jo%?nni4tN$JTD&JfGbgr@j!qDX(bp14T|EA2%`AA9T*Ez z@HBKqaE&_7fMn3pd*Cc8lMdUBC8&?sQEA4O8LTtt$&urz3x*KS`;+t??ncV%wJCWqTsHZDBGq$NWA%}v*6kU&| z2>h;oPH$R=(AUpEun#^si-^Lx9U@Qv@u#ED>9YhE?Ed9e_~oZPkxS!~1gXgm>o$DDw7U%m|!vi0Z=HkDVP&9b0t^)gSLPogD} z)}&xWzZfym#EJSEt|w9e@_Id}R4P=%ypQ(o+{K2c))7x49$fS(T_ll#j7(zo*lNq; zEmpL_$iAeCqF@|@Y7eme$PxNI9%8d6A&6n(7DNft^y^qKDV_P#uca7|2A|(YPfr&K z2}x1jP1i7lJtq#H7k|Q#%sNiFTL}35s7L9*av`$RR%(ZJ#|b&S6vT~etfw~^Sh->q zp2)2KLcJW2raxLs&8+K7_0t!v+B_aCk-fkQn3GygBxjoxm~BM_k?%g!AQ@qDqZ%+DulgnNPv^tM94sw+64r zLtjrfi7Ba{S|;XS1NNUef-q@l{UXI1Ia*)C7i z1C>!n$myj>OdNCe55WC*-pkr|-{73H9hD$anmU0cKl~aVmm5=znb+QajqhT9rj=8tD!-EqXO$hC$nhdaeY7)v`u5`3wciN!%5AtgwHkcw03 zM=^v@Yes)Z1{E2GNL4Xrn9F%ZIm^gLYh33At)usPQE2D zK(xP}C2F3axTl<{E@%=Jg>a-8cqHlbb^XmIWw5^4|DMQeCUlvo_+N> zDjPb{XW58p@pId&Y^R6b^ZQm ztX9(kBoMY|#?L=|s85BrT5p~Ayw5r3IrMEghiDHG#fqZzm%fJE8i{0g8YZIXp#wn? zh!GO#q!q~^BC4-EexK|`_PUWYp==*dPa7&xL3N3;{((@XWaD=`h|UUSX=#j6NcmZ~ z$_}6tw3oU18^8ryqbOG`rhmQh7rU$T;OFA_md_~Qa5{!f06l)wQoMUsa>iec+wUc+ z6BaIf>9W^!b#>4dcM*wV&{FMh;qhdL0N#O3n$`29Y%zO@;tQHLae1}%EUNSoNmnAxLQ zw0LOkP@^o-Oi761xWj>{GX}|@jwsGcmR3W8=9K4tYKbf|89KAkL3^CmM#C^jWyC4WGzBf`g=ZlTq zy$kPUf&CV0t82)ZI|{wQKz&Uuf-5|7t|$uX0WE}U>#F&nU>&Un7h12t6yq2kx??GQ zJw5DuWjorIU|aZTVsR>V+EvZuEgZ+(yN6bjo}M|1G0{-r2|7zkAb`bQ&7F4+E!)oP z4}cOtyqF}_S!il({K^TS(}kxvaHJ5Q93X#mD!1K!+t+I2vv%#r94V>8g_anVhsAf! zW6IRX8vbtp-a)bfJ%OP$Ft`{`FJ8{O8&*?cZ$kF^Nb(t(`O@V}Zw?m};LDE*vv#Uf zE5+x_`J2aHV)KqI^!l8nM`v;CFTRb}?P24mpHR@*i4+qoAyX8E6qkXNIz2AM%c!VS z?s{Z+I*yV`#iL6i?cx`<=HbN;b9Z+SjrH}6nxBnEtKr1aqbPkI(1pA*#UJ3Y6)$k# z?ZFJ@lJaw`E8Il8(SyM)GCO8Gi*CM``s!+4S@!?XDnVNlLp(i7Cq3E@#yv2J|ML%j z8q&BGMd82x`*$??Er=>LiY$}hZ|2vVKOfR2;TQk)2Wne-`ibT*po>o6Z~yQb*?D=F zxbn-vk%GeA-`AIJK8Y@4thb>mYjkmw@0N z>dME4f)#f^%F1o)sCKlVc>H9DR>m!uc-dNGIUKD0a5ZNf9wcMX8&U!aS%Qt&5(S^)CoevSTkanofu+%DdGe9SlJqb1 z1y?-!6kY8dv^BRd`nDV-m5R>x4g%gbBz?&L3%I@f=*7R|)@i}A%wwg;Szo`0F0&uA zU1UMbRBoSqD}^VI^TFS(LW2$ju#rfI(t_RC&5e)E=fRiW9MZV`J|F+_%iq(b%0v() z0)8)}Od+PCTJbASr+N z;=L-Bnj~`^r=xo?q(|coDE#Mj$1PfS|M#4$q`^1B-7v^w&~gz6woCNnv` zR!TiSL~YQ>iA5dUniZmvUO%>mruk8bL?Htw>@I8t8_A6x?KHBY001BWNklEvFo<|=h#v0OjIB~X+Vw2TIrix8v^@z4iG=KwGd*mcj^T+oShu5sG!*Cz zdaULs#6%B7;$GqA5L; z_0;iMA-6sF^Zs+*JG7SW*)d2&;Rg!Zn@A|wMWEG<)T{{;Ts8;T7Y$c9U7f%qq5zNtD_OUEmY&L zwKp<@^6lU8vnRig z&Mv##OC_Uzh=|~1GvfD?L&W6!!;=%hvYwN}>8#&NYgfmu+dq)*wlpay9 zA=)YN{8Qg0F8C@Tr@@~3k8WF^x(P&+JnA^V>ER&LDnUyEj ze+PIngR0S~Ji9J;2KKTlwd|&G}jp;$Ih} zYitw^D18d}Wzy7Fr?ZxjoP;U>swpX`j5?YEOc@D{_ z#WE=aQL9Goagi81hUge8k38^j|M{ywUd;(d4Xzjo*M>?|aV7+`*4PjsGH?FP?0e(?!#OJfK@djog}wu z48YNGpOCDTVmMk)`UE8vaZ9q4WzgDy1&M{xrI zpC3c1ohQcLhs7Au|8aZV{H}Bj-r0#r7CpVSEkxa#k9Jfn%BU!6kDcYFF_G;v2co&P ziFL<6<3!DAjA*e%U;D>7Eprm~qt(duJ;c|+Ly7ar%M3=Byk0LKw(Uho4jENZqrzX? z&CS`fIIwLWk~`$Q2b2I~@62P|5ZbQ}gdhlvP9MdLapResHx|Qy?qM5tZDaMBN?O!b z>iudC9WNj!Ar|X}?5^yLEP9%%sHv&M+1-W`2w=3ga^KYPjL*Gvd)9%FWtmTRZe`n% zBNUYtla`PeHioOk>d&{*tP456f=W$$TQj#znlPl)%L%3(hfX+T~l@*H%@ramN*x(=5^vz>Eq zY{64d%~Rk09sq64O>B0YL}d$gJroTZ|Y85u4An(5_f$aEct+yN5~nSs0ALG3Dmv&{0=G zZAB@r-Yyi`kJ;PC1GnEu#;D98J>Tc^^2z!Q>^^Xe^3oDAGSb7waJ5*oely+bfwo3N zdqXV?=3V~p{AJo=}vmso{qN(P$5Xu1!Tp|Ti= zKGVY!4=fKW&8)1bU~S_eg#0)JwF+lP4^cPgqsg%0Pt?;V8VN=Klq zgPhbc6m2<$6bQYeSMqSva|=k$99~pcl2qj7Z`i2FG86tr1t|&W;AU7dd$N{-t4r-LWG_*cvE9%(4LrUbhF!yj-;DHoP$!dd}2d zu^Zm$!a}wl*iLC_G0E}C=r2Kl4;7LmF+L-g_M_#T{&*K18w&Za<-fpW2)_T$V>>CH zB!_noi#4E}X(e74!}$Z1hy${qy+${Sez=6_*x~K%)M_>3#^p18>O^w$a>K~B-~Hhg zjlt$E@xkEnx^ZX&Ts&>k z)3OMBQp(R3e4m8aZ~^CI#m8`uk46PJ%bT%G&ghTs2^tlxv&`&0wVzw2&L8wy=c&>XnX<}%ZOR*awGiL}rZ6ysFl*LqUwmjNI)&QimMjfU}q6gs-<+{#OM- z5LoumGGxCWzt4|WKeP@DgQ2sn1D8c);2i`}z^+8v8bwjqUtNeaHLm|W>y0@GpOy2I z7k)yNHGG~H96kv7!9}z0bS>7ox&5`|l1@Wix|_47PBDH`r1&zx@#Du>U9lVCLWyc& z!5SXzx)rsg;z&s$ATVp(RK|`QKdg7w>UAu8Xc+(x{%RF!F|;h{jV9EtNU=zbpdxK_ z7MXXAqUPgTGyx5=;>R#s&;0xD8rJhK2e-?`v9d-aYfw)}5JX(jqu8`{2Twd6%-EA8 zi4{*h#uJbEak-p0>~><~6NXjy{hQyvLcNfLsER^y2Ppa7Yy7XDeix1A+DIUePmWOf zb^GMYw%qRN?&kf~AJfob$Dma+XG$J7-+J>kjpI@<=rkx@a=%U+fatXopD^@B2Y*eF zB#Eb&ufXr~5s(9Du7dda0`;}E1QLv4OOdEi(c_Iw`}ev%9O)=SH97cq5mgc~^T(q7 ztdgI6|7Q{7ICkbF(ghN`?^F#jH|6(d5=dq}WrjAI>KjN(9Xum@&)(f^>^O-yCI&@O zIKBNHo|$z&-QC@ssy>ILh|HUMBUxjH7mzSVS^CR4F19t%QC7tBUKmhyq68GQf{IDA zXR!a4?X-X1i5fM2{Mc@`F>T(+MV#B)S~=5TN3sSr-vm*@ZXU&^P1|_zp(c>DuTi16!tI_GA7;z&$e+I!Xmna$eB#@9 zJwe|?qrG~4shXN33$3nVU1L=U)z`#l=+GHT?}cL`g-vCWYO*c5~Yu!P0r7$;=PG z_dGtI7q`=i+wCScK4HkV#^ZMLtKYwYJt_-9&{JCLrRtBb^5Y*|dlrnxH%NKn6>Lp) zWfdQ9+Cf{di)f>kyXMbi;^e`7-D`zjs{;2$$JD~tF01+LBRVn!D2l?WeIN4kUBBk% zyME34d)E*ML~afSLXxCwB7Xo3dL!}9@J(I7CzGrUP6YG{?ucWy#Doa)2Ou>z1)(+Q zaQQmzXkrI3lFmzKQf;o>OJHi~qZG1jtghI`A3HZuGz*Gn3cMv9WXti-FaMImfFwyw z64H@-UH!*|k`8W3n*qRM&#hp|zdk_rLz&EYaVmfJ-#^EoH(u&?!-mi2!{LwAD6)Ga zje;aen2aV86OxBT{CTMa{>+z>6XZH3EA(*E<_ST37IKG z4-%nCOh_Wo6`Xgn$A`)oK2|BtL|uLTCC9eo%)x&02SCV==l#z==IyFol;%QduEJa8 zpHon9=<+W)44BMja=mfLuF!i*r`uUD;bs6<{PPdE<3AUX_4sIJ{;xUw@Q?pAqKj;A zcNZ?g9bZ8Zu)8C>Xh?b1?wooXDoMrP{Kwxj_lL7Nt2;t*^l_f~mmiJTvjM8Bst}FgKBA=2(caY)ajsge z!5kG$TtecoY|ZD}w$o?M9MBj;Lq(6oq5b==ZSX)^tQloM$J~JICo|#F`zOE8$7?G; zp^kXmmJFJuMBe#yFP$CNr%GwTyjiGvL%wvt)yuTpw6C2Q^q&<0w0i$K_T_icGdqT! z*)bd(*UhT^AAKp$et68C81^>fZRx>Z(N4yGClB2?c<+q_IebA;6ot0h27bBcW!CQh z7+IG4k1KM3)N=tmE#3H?9$G#-LEo9sA|;o$Gc$AQCC625Z;Ck9tMP_)B@)x3IM7ox z?03E#9-sFxcUPs8ao9t4fy{H3+nF#rWXx}vHH#-+e1>l=eGr}Q+R`a6hDM_yQ6Ij^ z3&?&_qpmGQd>~poTk)&INh?7VDQalOg3=1a3zHqF6@(S z^iH<2*U-S0ZJV$Ab45|)TT^aDbF3L}dmsL?HpWy4+;K-_R*OolCXVnqs>lHv%B%S8 z%9q)^`LmE6k!7rA3)WLTcv`ygbvtO?Qi#2@F?4ZJE3;=^TIjo>r#0eOx8g#~3^@|Q zs2KK_k1Sd6^nFh=uO^YyQ(m$Q6`mctnDq3_;PV85Id?7K(VsoXosTR=tsdDfIB|(d z*wo=9TfplkJ#pk};2Rnm5%u94B~h*6*qO2`1~{&S#f$G_Vw4-HvkIl7n$$oOPcFN( z23l7~2X(#SQF6f)%hAH(YZ}L;V76HJo9{fqv=}$p+8%Bnt>=a3pS~{7`nuwcweL`p zr{J6tOZVhxw#j82IB?~S*|kDv(6cD#Mx>L?csuRLC9OdWLAqUF&=Ao__2V; zM^$M#zgzh-J9q8qKkoB-NlQw>RM3LEsS9sw5A8e7;H+#3J^Oqw6E2Zy2+-o}jyTq# zIFOP;nm$TyEW1t}9L_6W5#N2_MP`&mk$TEYUZKEuXFrbhg5HHBN!)V(A|CzObKJ6c z(TF?qd1J?7@^ywC^SgS<9yM}gXh&xk;zf-yRC*J;_8qzAdq4Wf5^}U%2%S~XQB9`U z#^cK#y5#xgr6sf}7x`>aN$fAUK4f!ZQW8IWdI^)GoMdZzSTx?olTR+cF3n0JU1f-QT(ouhD~K z82N5>vv0f+u{%82C-=57Y5d?_Ag>0!c4tIm47E9i^&7Wd^Sz%~{veq`D|A#Lc2tq4 z@8OY$mt6AvgZuZ>X9zDTm!s3zwd>l+sKJn(lf!o(UC0DeA33@nmdr^1+UPD0#Gh3O zSh3uIWD2o-l2OOGz@?)|BZ<6>JpMg3o8t3DMBA*Sj=yv|;KO4V@$&A~bdJ*_d;N6n zDJEvYIO-DgRJ%K9+xZp?a&O|Dk`1(vk`OaxdbX7l`^Zd0wS>2=m-cO^NsLY87AcR+ z)W{myFA(T;BLc8yW=*|%4UI3#)0X*tG_^Lf`QU!u+rEQ1qn4$&-yJEmEC>u{ z{>4F$jtopDGmqUD+0p5*1r^R_L~STzPqG>)I#b2MFX7o!rc7hP_=yysDIy_1f%xR4 zOP+iGtUFn`Zv%Z}jL5w%x(<{QckfghEIR7?>goRI1IA{LW!=$j^dzehV+DG478Cn$ zP*==d-$DD%vn0mEb8Gr^qAwvd4MAHouyjaK6g)lli1VBS%GCma0Pnv4Hb<+^5-@3q z5ez)C;9HEJF!XFPNs{>1?O)E~Y47Xht@qYa*KS86iDbkXSU7JQ8+RY2nv-(pA)mCiZa>+$PjXsWLzpU+Eebq%}r9pW8= zxgySUDWOa}zt6`jZ@x-V+j%f*h!@Q)zxyG^j2XH(vRbWS>0MvWTx@S`issJQ6WMy`G<{Mu8oz^S8PUwSY2@a?jk9O6^>-^VB!_+zdqV{pgAJ#{j=^~K zK{Sm<%XeOQ2Cv6M)%o-6K6s4(d2>3b15q>A#+j|QJ2t>(de`+ z%%07rlZWt*iNaIcLC>jb5|_@VRwYs0bOO&_FMhwDowX-%Bxn#dGLBOJXlvX~7k_;HkDTvoLNKUFQbn`k z{>MnZL`mylFzAgudGnVu7wc+jSo6tNn!8dTRg*RC6BG@1FqOW(%ra#31Z%E6 z^WoY3s4}g@KQxo>gJpe3@o; z;wVn-Jc}tW1r!B)Nh4an7)}ZW6q2RT0>5(Y2kdP=OYD6?yXga7Kl};*5T8KY*HGu> zwYOGLLp*{t4j)k1(L=!ppE7e&F3V?4CpJEgxcHGBx4~#4)2gPl@-$kD4WFYMK~!O} z7>TluOr}w1dj~JC+<@N}v>COnGWCCajlcQPcf-z$vc`~URZ$xVAbjB*^|dhj=1XUW zeS@pVr8c{RQ~uWn8l9Gj)23YUys1;CbL!j~3W_SwWyX>4zzjO~7Gt|*9Fon%@na=; zS^@;7CI&Ukl4GzW8gZ02Va!g#I3|Ip7C-;|_>ZnwrkQR@d1J#@#;IPY1O77#0c~Ohw56` zU$~2#rsXqr@_3SylSjPUPC`-=@oEgs?H?RMm z^O_#4i-J`Ty}<82dY%9M(m#If%6tNW0I$FQF};>7hzWMT+j*`QmAi~vXO1U7cMRzn znV3dc3oCEzI1H}Ubk+2rHb&v??Lcje!eSh`33smOEbnhUjuI8z|5cUu(fQu0etpI- zF!RP6*}C_)^yxxfZZ$nM-1g*CBQ};lNBmh4K;zVD?CERo7p{`+9>z&uKdk^+mf7np z!g5Qf6HUy#e7X*l5;HdsuMS#_E(W?Jl1>w*G2)Nc<90c(_^hQf@29e$jSfXYc6x{! zoy<+98PxA>p(@TvKrN8cq~^&P%lfZ5*mMd*PIx`1Wj z1yN5=W7okwEM2_x>RO z1#>e4fdFs5^*#rVohB-OPQUvvND_5+4OQnW7&SU1q}$cmiPdbRuIL!(j3mX`n0L!0 z#*H7Iu=h6@8q^vMqr@002ew;o>SM~ND-$wbHd>mRDbjWjJt5>H#LUa1?^HEW(?`?m zvLjAS2@{pprNq!xP>%6JtU}feO$hUW+wbMgf={sbxsmi5Z0X6|YRaSVXeli*0YqyX9o&8QmrpAAeZh=@!QQu{t(8Wnh*}r&!F16H zbal3{z2Gb-OKUM2jpS!0@bJbcnEPZfYVf z%1B%JQ6#;E%Hn7CL{`?NFa}AisrP5{ZMVuDyR~U1X={{V6HZd503h32CB4h5Ke>ba3cHro8pt9(Q zO-SJO_=y}odWJTeg4(5!6Nq8avS1^d_U0DKdm4yY6ds`SPL1dAfrH#Q@1|>g{b9rB z^CAl3pxxu0rb$E#c*&v zMZP*fVXP{ZrE|Z!G8LE0$#TJkt1%nL@qI=edX z`+dYu3U3b@5W-8wzJM}F>i_kGqA0xc$w!=QXu%s$NH=MD_FIdIjR{XfR}JF)_+1Vx z>3N8zXq>>=K!E@Ga5X=C?5PnOpI&d^pH@7>hTYrgcDcxmvvJqFpzhP*!s8q~cMb)G zsiU))KVuH7Hf`WoO+9XZ0Hv>$K-wfkbC4|B-RUB*X+6vDd4QdV_HwXG#;>;`TqH~_ zXmoV+hJ@HWUJw8N)*E!kj7G?sf$Z~OklVR!_Ph~$&uQr}5HfpnXZXP20Uk>2!X@T@YSR`L-hCIJZrI3~ZY}7o{bGz?KvC=I?h1)x z_H=jit3SMrGkO$4<_u(y1FOl)%voQLmhpe7cxLI7e6W5swcZXisF;yHmK$f!`O3!A z+1^gk*)xnCHy&GD@OyUJ?Y#Bw8z^(bGg2g-2E`x1)6#>ly%*nc4~itBwi+>yO(o#< zhxr-_($J#Jxp{f~G$w`}2X-U70?eIxBWW4w+{GeV8=BDQv|;6{fq;xG5Sh*(3|7#1 zec|?(%swJLEN}GC~6IM;BbQr)ko`j=%JDG zb2BnC`N^{n@%hfZczjOA=Vdc%_G}bIVf(i26j#=xR*B4=IfeZEeBOL}CFPA>!IIzZ z7R1aMh=!ou{On{Mdfk5J+%%UpYd)sTV+DO=iH8prPP@II0BWeO=eKXI!yA=>m>Gx9 z*-KKKj)|Aih5829j^~#?%?BIS&?tAK7c|VxzJYNQF5e>kdZMMViHhXEf}+t@b|iq48d zn>L-K_yqPIJ&53dTW-6V_{0PjD0k3O-+<9CX^7J7SodE@O> z)OI*gi30iQHlBQ9Sr}n#(CZNb;U#UsZ@GK_qd+exN|FqdIiMTEC6a0g;zJM=kK3-Htf8K zDe>&S$NtG*4^(O55pBVD>2f%+YC|P8l15KaV;um+bq$C*D~7mK z98Hy&l0yrfwzHO77C+Vh|E>FW(G{K1Z_p*RmU5?>vdS`Yvc553*9(#)@#vCAzUpBB zu;ug3>}olKJUSW<9%G_Ej>jK!sf@xnLm zuJ53)xB+Ur(Z`$dGz9CDsV$&6;hj$_Q! zk7CJvOZd&Z|3mv68;+7jqNZi_pYQGHLuhs2ZL7h&I1~|glr`b3Zo^ktk3KgMZ+$1R zjRBS}9D3HDEk1tGEW!AcNKG`2PDgG+CM5;s*ye?VO#KBl+`8h+)t7qr{WVm0Vi0UW z@~qVDXXUDoco{2dBdgASOS5rd*LacxvIMwB0-MaNW_+W@I&Ky04 zWbI~JltBO5-dk6K$`BRaSVm{&Y(*VIrGFGf;ppMR)YLVSlbyw+$%9K4WQ-ccQx|FB zy!H0`obJ>hYJ;}s{D(V;k({&`MkCnb@wobMd%!#}Xl070;P`1KOqxV}yB)z~MO3Nq zyB(->p}kg;MIBc1yM0dqa#ZN=C>mopbgG<1i@pp+&#yQBtO%g53%p)0pLP}?&q@rY zJCD&)lHlUg{hv}2-Gxe@fG)*K=l&8blQZ#mILIs)_}6=X!7om~3Iify8k-sS&T{6& zO<_UqO}IR6#@w7UC>e1rP!xrC_pahppboD}#?&g)x%wEYSR)3v#ACU4lb0E($bUUi z+}MJs4Yjux1cACf4<4@v?SN?6vU?Vz|9lfWPoJj4n=N-8VSXN4An!N(Dd zMe0-%_(5Ze#@p9PcjYN0m6jBfng?#0jX@t8L$||;s0uG@6AaPRH8qSF0p#|$IduFm ziLvqI=ZstzfNyZ^=y+GI{xM! zMt2%m^7PO6<)M{f^H7&+!@K$zw@#kJ%;~f6dOT#^nLXk{c(UKm+iTyW+|`V%1kg3P z==%6LVw4_}U(Jf!9v~qp@ya(EK~y$&B5Fb#M?ny&ZI2YNe(K5PeDu+J4je0_$0MV) z#G*DuMzjaZpu8Avmy3-XH*>VGh?X7~(b?0HtLxZz_&5CQ$KShb$%UdQv@|tRaH{DHsOPrnlBQpv}y@FptmK{S6@bV)oCP^nsl3y2N&NFHU_8LhaiM+ zzWkD&w$_#rBY+(CK8_qdLS|+rqeg%IN-F=FQBzsPL4Ore{)II;Kc0f~wdmKcr#;Vr z%A`Y(M0$=_Vj7oYa372Sm@@j}M% zgm`wHJ%i^n2lgp3XmuJ~Rc-X1uECg-j9k&iEOk1`(V-o;-^^pd~7668p{< zGU4b+o_lV^Wv`WGnd^ z3`+jgHr2AK=rdYWeV79}7Q|2Ertw2h6W>tq8HdOAA(;~q0PT!qviCXp=^Za#%}+2Q z&`6OVpIQ_mGI#_*;DI|9@xUF6ICSy|r_NW>+UljTuO0D17EZwLB|px3#Si*d@4P{c zE(tMd9MK6fErq+#M#W)QY539ae#0|&-N}qeks@_%?XCRrUF7Qjh5ye7QJ& z{1{5EElj#mm0+QGe+7&WYN46(Q;^+W93_p6bI0(~^WUYns~b^{EPn8(nmIDc!RhU* zcj%Szc$u$|6;gD64I9TVp;dCJrwkNLw5A8{_rkEBaN0E|-109s zIyMj*b>w?$RgvG0BuOk?x`c-wdVsxq_E28cKy$r=HfIl#A-JiNy)MRPUVf36Wtm_7 z=4Cqc83;*}h>rKuQn(9UbUYO*HGlh0|CeW$KS2Jtu@TqS)Kv4%stvSwwK&>4u?`@B z02DEN+)6+p;Pdup4g}nG#^(h$Jh#l9!TFDO6R@OUPR&7f^)fv{LqcbN===*B1XZKz{-CKy?oQ!g~itOl}y!ian zUpvvvzg85UEkqg}PV`BmZJga&jJO~;-z}3f@jKkuiyN3Br||SM&r)4+9-%JWt5FmM zc~ms}lDjC}wuT=qdvVbDQ&@PCZKw9pt+=p>M((*`0lE1@4??`ZeifDD)d|j?Z^c-PlTfbqC!Z2hxS?VcFHkq_LOR z%y7G0{PK6N(Pz#=NSlVm=b`1~4s=bw6%j8T~p*Or_sX4QtzY4vFF z^z;#RQCv+JFm6GTki8z10a;4{XE#%41vhOs&7922?I*#UKvc$90`^Yk=R~vkf&1}z z+`RI~Khe?E!-EelCNn9PiV7#9Cb))q`?{dLirU&*tTx*<+nUcl+rrKh70Bi!IJ}7o zNqU}M@%V@nkl*0yP+EH)RaUtEijo&g>9!KYtYEfA^o%k1x}DgI>bO;x%hILGIDFs$ zidQB~)G(mn&5L1MR2?TiFXAUFzCY+Q3knXgyYvWsiibGS!~^pek)Cn+Z)+gl`D7(^ zll2Hf@ZqL$vE0;=z_;!ldIt4KL#r0KSSePcj6&Pw(N19))VuOpGo&Ehl!Mi;1V8O`!4Lf5nT>K2H1~4L*(^ zJI4BL2WfQ#P?P`{_ZuA8GG47W(^prDl8_N9UAMO}V{UM7HhXd|8;(>Xm~2F6O(f9U z%Dp#?V!`bTa5^0P{@1_3>GH7r@kdCFwb0NOYM|rpZbQ@CLRm>Md1J4=>)Dz$A91L( z1;w1er-wgg=9oAhd1U0e#9mKGzxc&3esR5SUSHjQy>9)LLaS15k-;eigKFcLxPX4ns!8u3T>Q)K$@AhQx(h_6;40| z0s($`@HN`!SqY??aHZ)u*IG`lKLM*{@K%Z!W5fBK*hhylNd!Tlr=^`cQf4BGUyTE< zSBab~D?`x*O@ZunG0moB+SpL1wSy;)uzKeX_MIxEr?ZV)X5GXM<0dfwhS?ZAz4SC! zqx1AIDO$r*_dj@90_fDa(`;|(LA>xhzuSQz2t;R&M;9H37@b5>$rI|t!hA2F}?Px5q{atbtC4kk@j9&po7mVPk4HisIMVQ3^I(HA#Vht?2=Y9l1z+$$L zpA?V1p&X0sU`ApTkKgwo9*>*n|Ly0TCkk)eXpUCbQdLsOtgJK|8tdq2u0eKmV;VD^ zqV_%xAKJwYdHHCsGGZ181o-188*tjP5G56&) ze+f{D5{JtR5v?JQ$M0}+qiGDyRkg?|!MQA|Bvf97B@-7A7axySucQ3f8M@=d{&{LI zZA24eLSr){r<&73<7YP})W_>%9RQ0H7~z~B#1ot_~j!>!-n6(xr$oQ1ji-2`k0jyPkw$#JbU-9J$$@r zCk01O;&s}YfAf5%PMOHO`E#MS8GCC3dbyWr8PPoS&;ys_B6zcHiv(DeI*_GbR@kQcULnyYeN6C0TdK^}mZo zZ@}DHieB<#ko%Z5CYF2dU4$SA#Ky&ul@Nu!={!-mxG_JO`xoCwXGc3f{OQkWk`nMn zXL9IdG0wJna+54HH#N~&Ujcp(hODWascxn4z%FJ^pK{d^POrzqE2}<3wq_zo5~9{f zyIVqSZ)WtEk;w$gjE~F;y&m{WwKXoggTjtVL}O?@@weMqm^qX3k`k1p3${k1Let~p z$y=9Tvi$$-y=QzJ*Lk;n&CK?W-aAMTAi>^y6GciCMfF~6OYX5_`*DpE=glv9((E`- zTqDa?v8_g{7m{M{onQk<5CGA8+1__%-VaLwT!IvfM2eDeeZ%gY-Lr$4d(OGb|F+^t zPUh&gy#%rigV(9|NHeCQG_-aTksLGLLyc5cBnpYU2AuqM$14OTrlMw9@Mr2dvG)*j z%BP~yUfy-~=An(mvWK=3f+P}b>u3IiOE*ZkR<b8)T+IRx}p1AX>oD;xP_c(IEj!N-&;urEvD`; zPpp0fonA+FZY~GbZy}s(9=uLndro7WkdMY}AdsO)KGDhO(PatW*V5R?bEn=XG&a7j z@n!0$-nNhVlV)9(Q&3e^UOTiAA!kU#Ow?(Jv^tqJe%gnQedT|j1qB|u_wma-J43v% z=2;}^;x?+ktAm#Q0D|W1e#P6%EpsZ#Iopn2Q54>M^KIVUxRb+G$1v$N%v&&@DU&K$ zxL_WhmXidXJ=g_5OD2`DV9|mPozLrUyiK#3Hh9hg-A!2Y$}p$rV@S#%Y)GO0=ziwR zN<1f#NSI$g_c}p)5jtxUzOE*WDMK0Av7nbM$xlEsA)M{@s1+b7)P`0LVHf-?n_fPs zM_5!;M6xzYxWA25O^6k9E15HIF2{}>;m7~--*_FP2$-_iuz5Sh88-A07yScH1{$l; z8qMf($Fcu-9W6CSm@;|dRXc{88XH-&?F6DD`>d_8(c0BVS(cro?MsIAc6J=x!;44i!5Ytg zIn(UIxAtxByCtqvzj)R>7SFnT#r@W<4g}+n0S|OHV=G9Ez(Qa7?BoJ%zg;`td~Zec9 zCR|sdq@mOE*<5sd8p$szWXvu*C;NS9QY^@UFzH8qEPiq+*|oX6vG;ujOi|1sk(t?J zDLV!J8r*g z*zp%abAG-ppcSs&qo%E`jd#~=#ubQ=W;1Zt>Xq0XiDg@}=gdYUY1nt98d*^pH!+{3 zH!U4}fBm}mS$nJ-(G+)Bw(M^r91gSW=9>UmvEpV{TtUfrZ=VxUH{@^+IeTyvC2oMd zh71lJIKYhALtQL_fdJj!7~CE7PH zUxv}RovP}31OcYZ8qJ(}Lu<_I4z3l}Wn;O~ynJ5fL~ z>4^>a8RNAv<@OnPBLTJ^K7`k(U=N6_s9cEIde-?YihSj+&-2=bw`g(q&>8H>?d3Z0v=*4&2vH$=e07*naRK#GUyVT6F!&OYYjJEWGAfOc_&M%tM zUcml*TpX{hMoKL}GMae#r8V4j*Xm&%1@FH54s7c;P}2|>Zl872M5dhcd!Bp#1&$8r z5Orw~g~s>x@i|dsTxBJaBys=!_gvAOe4$vvIzx_z(U}v4{o6e;d>&6iTlo`5kKxm$ z4(>H9Sw#%g9Y(7&Aj?ry1SE%pJhcZw2q6gqGnP(Z=ImJ)oy+tY)0sXa@qYgO^DmP$ zcHW@2ktL^$t%r~Di+}w-wbeB|_4ZygN%7~FWJ#sQ>Ey`a!%UiT>1*IZ9653n(VmzM zF4{7vI(mYl($b5Jx^WnB09_@I%)gKFlZU82P=`a4%<`KaMz7OTl3UC_jqF& z6}$f9Yi~WmN9PLT>^Lea#^U#QF`7-ovNLoBJ&)WM z?^N}#&;B>A(xGfYRZ&URoS%eCJew>g!#Qq2RaVeQmw!!6FRJ9N_9KWnXG^9A{7g){ zHhM3?fS+GKvxZPo35d|;RcZUpGyMGz{&tu{WctkMOrJTO{@z{&`uh`Vzz?sfUl6(u^!jOhg&J#v(B>ohLm%6M%Fs2a$T5;E zmv6sExV8v_z~6k~YwXy*jkYu01G#$@zYP<}i)b2OX#nvhb@W)XLKn3_Ml ztn%Zax2K!mzVse3M>f}53Ehev^FyVV;S!VmTZM1jxk&~Iq{DliH zSkCDV$r!bXzeksnOMP7(p->pbnwhY!kql|Y1=p$r2#93(w;cvF-S zJ{cs9hVMM_4Yq9EOi$+k#Tg~cd?=nFym0;^=FeS#-{Zw%w+(xar>3Rx#RtDYFc9FM z*8Bn`d+3=W`$FW|hwJ}Hf;ha4IU-{)T>gDlnN+|5j}yrjcebi6E@qCpxP#)OP}f+` zQ(N|syD%=)zNafn-_y_YwXYeVZ;oo%z8nVE?cISgkt z&UBU}w5EQv78@2z%3w)phqHyBJb4$k^8$FWXp~JGH_5iV6$Za{3sOdFUF9`P~#2d^)sLM@qmx0@-QV zOe`43n7rYl%{ra_lG!yGS_j7t9Uz>hLkUE2?CR%e(m691t6%kpm%pL zsxWaQsH!Tzf9)mywD&OETl?6xe>ZlWNN#2}n-3qxr#(*;(LcaIPdm?U+RD2Jt2k19 zgp#aGY?e#6mo?}O7?d!LjkWkg5kyx9-p(eB83hP}fU2sv8jhgmPvk)LF>);iGE(D< zrLf;kZD$X{*=|6grX%RHN1fLlNQWWhWJ-BrUFq|0y~-Q)U35xz>bz0*@7c`kag}J# z+nAj?eUdhBAVCN+%>~&Jt*@a-R zpvW<717~=0)twm6i)vmiBPC!T9YGMt%gbkcc_k$!r3ocNf*_y(l0j|0Gw3hr$h8Xw zY7QPjPB9?6gCrky^Z1<)4|8hd?5K}+@xwkE}GBO^Wr;OS-<@tHAjz7Ho6F-@zSMmHoF7a+fQ3l z1HoVz#o3B~pc`Xqd`_yO;BKx#&aC9%{{4*3PsibKAc`XH-Y%MYJcwsYNCFK9uoO>D z_`i!fBZg2vb^#x+lQVU7MLbW9qQ$ne5)Z57}^zt&wHQ({+?rT;0M(r`O}`Y@wywg{U{7L?a{xTKL?f_g~OKbv2BX zWqfo5L7=d(i1Fp)C@d;YxNZbNKyNU7=$b(kMGRq;((~QWyJ~C@UJaW&&Naty8 z<>ltFd&6dwoT2BP`A{DZufG4X15=|)N26`_5TXA3HmW4#Us;-9K+YuNFZqx z2X^jY(%4c=CKEcnp3de5I^9tOjV|6Ay7>s^g7FECYV;NifgZ}n43*WWs>=WS#c$c$ zF4G+|ak9-x?V+8_oH2FS^|5o?HX?@P1dR`0dp$*&4kk<-&#pZOz%aCalfyx#7AI4D zl_K#ryMwm6YP#HEM4bUS93)fj;^7DH{n!GYBev$FBT5n_C8dlnuOu%&KjFH$99yH+ zYGEKqLwy~jnvgr(6gP|9eaAh+{?D1oY3$vz2lcFMhpMWioba-G#qF292O2wOEJ{re z;g)`qdsUVfO=IfROJ|f_O$peVP3!48w?U35G0@+~oQY%58xn&iKCg%W{^irWcd&t7 z$D63yyNilZMQAh{HtwoIFeTb1v+UvEfkV9d{vI~%Jjj{alS~*t_Oi723JMG9X*fZ5 zS0|xhkZ{Lo6jeoMi#u0i;UIy59$e-;4sPGftf>>wYPDGHb{bAp(HGVrN*YvEA=*)c zDYqgqD5f!xBKRmMEF5|*7UMsE{%fiRbaY1z96!@d>&e4RnKJ48>9OhkjR=nHA>AOr z+g3+eK_-QT1?)Y10zp5twvGASESgku)uo{snVHm8?WHd)AZm2TAs@whFRSlZ^|9@( zucfUSaR7aSq}Wqfm_Hp$t)EGOEFPV6-vu2yf*>#{tAeh*H7K24GFk=h%U?=S&Xpr6|$5pdAnNyFj*4jN8Wv0%=0n(9x}6_f^TmLkW{ zxmsve(oijF2&N?5f`z7I`Y5SHS-8kSAEQ&Xq@*NcI{VCM zX=>uly>&>I_+m_yG+KC??FqB}Lfyv%W|zIF95=MTg;aHUB(^d7EhlS6CE6&T=l%Zgr5(yy;G}5lk19J+Pl5i>}+G-9l^#Yrmb5T{5 z4eK{j-`b5uE1>mtqvT9L&>HcyoWkGJLe%fVUQ~%FO2iBf0v&aXA0H1IO&C88ZJ-;$ z-$%YhX7=Q9oNDVIbUp*fzCI=urDC@`26f=74jp1^od?a?V3nxR;S8!|7@}llCq~(e zi}QKsr9Y#yry*+f1iG716&a7$$MU5M@b3L((*E(5R zG>sL@R$TD9Fw%&Yr=EBZu(_)*)T5 zkPoG|iEdLdn3GYBN%Tf^44gU6gz=RhIwwU@c>Aq)Y43Go*MsQmLCl|uqN=!?PZI3! zKo0t_7mY&@M8aAdN`Dh$&N_~#Or8kNRx}|e#da7wx`;FV;RMGpo-U?WS3=Uq&xfeh)8q6qCN~*JQlcY0GcB3--+UE)QYNBCi?5>|NpHa88erv$o9H@o ziq3uyg5HemcT#2zv+DMhSG^aGXU9&)8gpTh-OL)3%{}+rnQ#q;f&}R%)Rq5^P!ECl*Hkny8Wzi+a*sXTHvgBhHM!iNXo;8n+&pbyo zZD`Y>8E9t7iU)=rTif0-*mdRuTsjA*8%}fY^4sve{tDGyZOE!hk;9CfnvPeOczkD6 zV!+u?a?-_9e0Lw-$Da<@#`T0WFwovba#k8zz)?H_chd>%g^8Iofk-Uj@97h!ByyTFqI~`C`)F)!q_?L7$?Zakh7kmjkTB#)Xxz|&7>cLxim&t`1#D7GHli{0X2(ahV1l^9+PWhJ92 zE4i@x|Jz$Ou&%?4Xo+Vo?C^w<-+rCPR)0EF?*H0RRh8b3F04s*j3yI{Z@TG{V=}Tb z`Qn40T*s~}VZq#4?ES;*;23K2YxK1-cm8d|j&1JhN75!P82Ta_2Kst==)rpkKl=g= zU2Xu%GVOR$Gw?}?!uf6eflGGZ+pu9H?^bmnno?0k6_>M{q|zjGfK6*4*x!ydJFz}I z5Kgo;bLP!W&<&}sZQyvn8;#jc$k~P5UC;ZWVm4O4Mu8Q+`o+gMT6F|hPdie7H*zE% z{Z1+#Pf!2w7Sw4O=}ezFlaoCm+)XFYJJN9!jmJOGhR^F^`HE$XA3v78d-s!`n#=5Y zm!FmKVO&TfEWkf@KVZHT?AMvesx&8K)ANhMnxc11hOkZa=NvSEAEEaBB zereIH{GuYhQuM@inB7Nb`s7NEytx~}HstI{!F|C_G9CS1L@7PtwJvuMS(bVHk$d^W zb1%`<=SL$#d43wLN_s-Zv>=MK_W3S3r`KP5i|vhmL_;dF62=!Cz@Bb7TcV+Ys$xhQ zny(-T_(Rczzn9*$ln>N)R8{48?QdxeN=QZv!R{vTcCluU%xk+(Gb&Zbm!Eu`6UVFZ zb~Yo30zntdgHYQI^bdVPpmryxr5={ec0=;dRQgbk87UJ%!M^#nszWWZQ zG&E3k9>9(+F@uk<| zBYg72qEY&~dq_!7!=9YPvK6;na!lEnF_ew@c$%ABYbF*KQGL7#!90|`lWkH+NlPDg zY?sTAa89D= zx7VSGxOsa0adc}BFgDl97e4nWr%yNFZtDRdo*k&Sr(ww`q^|Zfg++-;5R;}%rgY3M zx?DX3!U0U_1!zrH+@59t9)Ij1PF7cQ^3-WcipCEsp}!hLQDokN`4@fvso(#JMkRGH z6YKRob(qaYrcAwbAn{r=;sCnNoM~_5x#~CQ&Xm#l6~+ZJcyjThpQ-kgX0wII7S83( zz5D13gh@8(SvhA0Nsi$i%dC1GY9vt`Ll^OpnVyLxNj!P?11O3T*F2IWezWF9NR&fD zqsA_o1+%mI6tcmNuekh+lQTGVi&4uDaNVzt@P>GXX0i=RVL;>JZ3MSl6) zXCcuqgH|J6(h+jtcs;6=guA&KRZ$VoDRGjtIzj_o2@W778m2Js!!zZc_`+ixI&hHs z#%50R_7NB}x7SuF#AzFrn@g=>P6ZLIenI!HAp9BXE?Bm_z+i@icm^=zI z)5fssmJ2`QKCP6G9m~qjZgw21!5fT_;V^Ocy|-P^9+>r7I8UC>tkWQhB4&$~zxmpe z$g+$e2#BJ{fBwJU4f_n;1+u2jr>d?6SxUj%bb?qUguyGlD{q@hi-XtGmP(=g%y`V_Ej`&KqJ z9Ke$#V0Ec1D44|3MOP;nexovX+AMnAF8;h>1CqhagfYcD^zfY*Jl1T`;ymv)%UK=I zl+;wd{f#dn%QB)UA_xMt|M_cz=N+%teE6D1j>V{M?j@#8BG}nL#P7kLKU5BGNXo?B zTtmv}A*Y7y>tn*)$rt@hNu%L=-}yS*w{4@Vr=P0sD6yQO@yA_3*1r25_3eEml?(-q z+|4z(PVQjpqd&gj=Vm5Z@S2ko)_Ljnp+H{w*s+w4{pjuAFNc8NN8>;UA^9BH21_dY zt7=9ZK!1%qU;PHo`6+|lP>%Y-ytDT`Zku&^8X2D!CXbuI?vBCq z#Gd2ZP*oLGk#W`?!kkq?|LKDm9O+1MjIqfE?qB{eZ*5vfLr)(@t;C8Mvnj|MO5KxX znSPfGy+$IYwXQLt+#v(D*C_*r1i+}X^TJNuHh zX8E#(ocjG5!uCQ0K|l_;nN^mX;4C`V*36wTk;ZigP|pg{D`7tqO0tn-F{053#*5gR zf&MqgSrR;~3Km7^pjh!I6PR2{ArDnOj!e&TFr}L3^JYt3k_( zn-`OjIphSEV=>%r7Y40{u$buV7DSQO9yfhK0gZ9!_ZyPZ(ODd5FH*L(di6?Le)Tl1 z0VC+l7=vBhzGD6j6^u|XATl|^jYTLB8y=w#f8kuh^e{p>F@31-PZjGljG}}2(a#C6_p)h$;i&S)bLLg zcPw4O)BpSLXtWaF{`J3I^ti=yrt+uv_M+I&25P z_4hM#W;u~?7*$n=X$(PpJ?ZT2MzAQ@3dSNwf;bzFl2$Q`u&19uZ!3CR3eJY37#!&s zWIyx97g1bN%%A`KG6TL4DOLlkZ@+c0WE~(J3gY(#5Mp5h+Vi@E>WmyXa*|j|NrI!o zmS0Z)@g6i6*+boX$F2P8_b<>drhq7r6z$`#M=q~}?Z=I(s;DZQ|D?E4OwEV`=sMzZ zJLyi2CbZp_EP5KEpWTd#OKm2sRvUl+=%c*7brYU&gwdn2SUl_E>2#%qC46;>%!Y&e z3Caq^Y01d4jc@(p7dT!0YcTGd)2Mv=j0I#2Kd)!pQhWC zji@)_?(M~qlBly`(n)v&fnhhlsF66+bK#UrNs{>6M?OzuOC!zgt<0Es^JR(7UMt4u zWz*i_M>51WyGk^|nCn#kKEl=0R9BBHTbIzuNt0^fn#`d{C!Z|R&&wukQZeuQ@R)@Q90LOXNt|q;N><$fkpi4Rf)wT6h zPMpa3=yZDi&$qtD=~JiZ?df6K%+*)aedyz+EI*BXT_L2i!qjruPeoDoB}R?#Npo=j zJ|bmFoVy&?>o7uQ|JCT^ol-U!QIQiny@Oks+q0{L& zaP%aKqB3@JK8?+7eCH=WCFt=|TA0OGo_s7pY&sf^;B~vuIE;AP>ab*&V9PJVS-k^U z(2!aYw{52Md?MZfk_qz2!}s&=Kl>%!+FS%FZfoj)^$b7$?$^-i^|ZCN@|$P>g5R14 zf`HfM2pU8YhxO{f+-31kiWl-XnG79-^MqtjXNb<|_YD#4VNho^QgQB@#iOuW=mRTLuL0WvLm?pS>r|NI}nz-28$ z5R9DZQ)u|b@A$j#eG^d>sXcXyXV$DEY%3rZ)e!PH(IpRMC#tH7Q756w=h+%nMKULG z@ZdofEm<<`_ob$%^AA7xCdaC(h{j?}p8DW5>2`fNm@QTclXNtn(*aiX_cL|swdquO zrHqI`Uq=K{WNYI-)SN`2=d2cysYSyV=zlHf^#;b5l{2kk9L0Hs`29XkoT|oZwj^vw zR8{4LcV1`1u@iVAQSuxXa?{dzVecVAf);aLIj&Hc9lJKMYQf?`!}SuICwK$5# zp|_>tZmvPn8%VL37@M7eQ#&L&Dd`M^Re=(d$hw*aunnz#WTOLrM?F(2#<6DoJDe0# z5w-ewgile4cn8o~&PLKaJ**r*hFH)`uc9Apa~N{lAjqDJw1|+}((~ryX6$&BP=fkF2_L zLJbs>8=Ocu%z^fki07o)E0GwZLw3qW-?*9^*V@)ttyU(CkK3BetStI^dZ;^nn&gz^ zgnKO#4)gmz{E>q-jYJ|c<;6L8eLglFs6{Y1Fy)M*yLW(tyS8%E(#1er1LgZa_z5v< zCbqnCv?eRg`YKFmc@(Caaac`+bVK$;qc;)uI>~Yv*k12OI;+(o2m&FE1;O3MsL`YN z^UJT(t;<0WB?M6-;*V>hX$)pmRYmJ*4v~&xuAPYZ}JP5?VXDs6M!x1qyS*8U^l871N`yN3M&=^c80XI@CKvkcFsL>6+ z=TmezR1bOi`8@yP8#s-*2%?Cj(GqlaA?XZAIs>YzVsJO{#mDYt&!+dmo;7G|Jk8Y@ z%@!2Di^IoH(bL{WQ)3g`cI~IR@eIYq@eXL2Sy^P~&)~*8V_*1MjaxFr{J3jf)tYGYSbAt*qa&julI8p{}ux zlYL%N%7^OMlS(JjSG}9!qC$!?GdSH788lJ=)~J`1q-4T^mh;^&p_mLnpFfCjPAP^d zJr7TFHKW2Em`rBo%%94*va!saGK25`*T2vnmQdsvlEI87FhE!FWco1UIem)FZ7z%{ z*{D&Ks#jj)8!MMnoPT8<-mVpbAaM81D;be|{&bO?mP%PHg<5|I$sB*6>JD{t^X;Dw zap&v7i!ZL>Kz$EUy&dCwyI3}3EK6@%LSIiW|MY){L{dgip|5&3qsNaX)o!MvFH!Hzu8|2x zBPbd}LI#B(hy=s&$d}6(Nm#^KvP&SF?x8sTBx<38z1?OfAKtr>7_0ZR=b_jSjCj-jrg%7v|hL3|oFV!Mc4^ zWE;?GL~goc71_CY{OEh%1m8`g-oA0i!J}Vhk@yOM2&iT2IS~HG!w{h>vg^Zstf!b52_}MRhk9o`-1e-_zc;|2{-ns+W#>_=? zHp|~pIF^<(M~H;O==6Htc;g)+#xxw6@jZ#wU?#b28UuBQm^N!XqM*_!C(a|;qQmKO zBkB^%$t1mr{{FaP(SR=m=g6$u3oDTu_fuY3fl;Sn`TY-&nwHKFzWrr>@-P2INMl2Z zhA=o%3H7#cCVc@yNMO&}T{uc6pwXLAoKcSd{MY>OJ6}ih2?x(Vz-Th_#U~#7q^EH~ zK3O;XUm=gozn|6ZqZz$lrgE>qH;e9}F#E>X?0?d}~QvQXX29jhLg5wR>yuxLiE@;$QGdRwV6E_MxOR5>zyU z&Yur3rx#FtvKD~0_O8K9zjIMlmDRT_X7%m2k{oD64*5`31!16>WpgJnu5vtfC9zYN z;_GL^*tklWm)~Ofv&{Cb zTRGORK}gC)Yqk?{6!GTf{X`;Ro_*;}!n&jcyCE5^gjLO;^XCIBxuZF-cRv8_9bJPN zfFB?T0%|PG9jjJw$Ep=rJq^g=AgU~*892i&i)Jx*-duE^)`W4YyOS9+;@wSCti$y` z3XAf2;&Tu2*dq^+of|Ljvf6AcoHq-L*^D)(6d~dTdk&%~5e<0JS(DJ3&t@n}5?*T& zYu3E>5zpiZf9;5($hRK*8q-^>6xS+DX)^Kc$G-ldT{-`nc=w(6s0%xgl5)^l90cq| zytZ~bu~>{}UVIbPmYJYcDw>mtiP}Nu&j%RN3psuABmnL0oe528Al~6i3AkB(`z_pl z%VLbq29#(7B^E{RJj1G+7czJ5ECg3u!Z^v<%G~*LfZ?`A5Clp`mGI=}9^&DL?j!YV z$FuazEM`udh}mMnnllR3??g(C>o^7ny0Bywq4}Uiyhcl(E{FHtdG}*Do1c9~GJvi# zf*^3y)FoWH8T0i=RaN$$*hjm&lj$W>$j{2Z^q`NCy~nB`DN*x5aAdLn*b$mtfeWVc zIjmN^1D%-8*_g?Z5DndD_?PFN#Vjbqg5Kd@rYK~lrlHm9_|X@>%z+~ZY3u1?&XU{7 zNQ;ZUK7R9Ze*Vf!c(oRkP=FLdl+1q+pU=zcrOP?>?9+7WGY}0X#DP|pkFOXe)*J}> zdHv8agq(`F9*ZpnoIM13+b|?&B1pr%)WHx0 zmt~nfJ9pCW9$?n=*`#M?Tzb&Q$cdA6NY+Fl9od${?wvbncSbHa#%{9^_VlB(4ULO< zomBUC(C|M`V^BlLL4U#+RaKFY$;rt@(rEa*?|qZKyLZ#y?_}=750P}XJ3BdeB*f9W zHVC;1d-}2F40RJ!6$QOUBsDEww*Hgve}kRdci{5}ShVR#vVauCq~lvWA`Y{phmdPHMd^1yAcKV&NcB zp9`He@f-`1#MXl+5u_J+GgCAY3bS?F7NW5z3+FGwY_(i^ z(8ow?uM0`*NO-M3qG8YWt$3tlP~F4ESdDrVc}NcnK=$rmRYpu%Y#DFx6T~Hs~dJ9>+C50e#Yjd;B&jNSS+ks zzJRA+e21VlA5;~Sua#8~tsXYNJ-c>O)vcn>jN3ZBEd^KOF%&sQ#5;g3uPotsNoU~A zjk}2{0(agu(nIva7;ylN06;7jj>^+ zpzbjC!m*&LxSOj#l3d_Yp?89s~mce*WCA=pScA$~Ulc^K-1op2FgV!#5h&iWG+pxx+OmI1E5w zfRfUA=&Bk3fmk>=7+H!2JS>|ziK?R~=nEOp7|g`NeteBpXe$@Rqwk7>;y;4(%rWc* z6)4d#?&cbDvoi+;PeoB=_T1t1-_6Z!kXnKc2nzzOUJw8N=S`S|Ff+<>`0@9@$?lyy zal1V%SnwEDyM5Sa?A@~;9EmNS%^3x_o2s!Fj>X^Aj45rX<+~gSAsQ@Hdkt*aw3)?A zuiyC}VT9|!Kz~2Kc;#ul6Os^TlN`|tbC5?s!7ieqV*wl)YS%#p<$gvpp13~`nPn)m`A?8mS#Xo-kZ`iSIJE3rx zg^QlJVA)pHu^L2cV(F+gXB3{+TCBOF@wA*oXE{f(+V4SQP2)gYn99S4KU5HVgb_ZC zw70hM+qHitG%*zyIXfw-^va-%~1oAR*xJFQxNNC=A?V+=^%JNR}ln(T?hA4*WONNe=E%ua|Rb%f*{}+HxF(1X*a{EW7%j2cr$Wlv~~5;dZrn1>`>cuK@_nUPe2#w!QB)WnomtlW!17vZ#GZVw;~xc5n>Ty zK_5va69738Zu;K7-rcax3-R5x1Ez3Ce-%sJS z6d_0wv7m>^`3~}miYUvpP-9NR({c&~5g{7j=2?|2T)c?6^X9U7(-yk>T{I80qNy0t zIT0ldj_gu&gmE`jqcNDtNKfPTn-^YkKBt;{kj#0gK_4nAj^gnEM1c)eO;nC+XVE2` z!6^q$bKht%JV24J(@!6CYp_7aWx)~XZu9_ z+;_`-X3Uz!q{)+cfBgnr-T)2#UAV^#tyx5^9!EwFqTUZ5DH!2yTrTEMoiSMEbvcCHeS3yLT=ZsBA& zh@>~7$}-8G7XI%0Kf>*Dl9G~!s;GS9zy1>?y_n?DQ-QegwCP7~&k;U*3`Bjyv~qk7 zf&T8^>oy0CR?GLl{Z-bjd!K%{kAgAjEL?ma01rKMAIa~n1BFdiT9{vw)5!9893c;e7*n+7S6+wbonJGfu2?@S;YyjiIxRa3%g%jtM2(1A9ZD=pw%W(H{{0_t_VtmPk%7nM;_v?T*XS}zFlQ73pvp2f z%W&I1wO(PvTURI^iYFV~C9#wzp_kUs_m{_7InH_xR(VMBRIYlfMWATzj zgJoWqgTK2OTS0lkYl1zC{reAJa?`YE@j~_-{v`ua0ivWqj)WLxkMZUI^Fs#udP&d9 zrm?=B|M=Z2=rf83ZJHbjk(!cp*>fCWgii}DH2@@LsyLOvb)7?MdOAP&`s1u!zmZ@# zO680Src9d#z}LU>d0u<%EjkUkSPU9gEL%iwUfdz0)9YEeDxR(MKfief_j#huI!h9N z|FwtMy?YNDNyDNgiw4WQK8z27V_AZR+1!&H8IFti!@^Ww7E|fO{BRk9y0LaoN zbL9VT@6O|@I?sK9|JGi69@rZ;ATom!hA1c+XAz?kjZ@SNCN@LUOdZqH(=_MaPfy$1 z-rnAOdQN*!+jDY~-n7kZ(o7}}(KwH&fTH5apok;$X0yk&*8KwmZomM#VZ-M4{ckVU z@N7Q%vevWS_jz2^5Do1~Abq71qq0WzYaD7(jr;RDPbCC^`7`HWemC9o=H4?6dp`IW zvc0_~kiPx`=B|7idVTMTQs#_E$GOrfs10VgYO0}+Y)={~iUO0aXZ3l$_vjP&V)s^@ zzg~w(vmVPHcp3(S5hg?X)av|6IoNWcwdJQGOEA?{VA&&&^eW!I=5n>b(cFZX=wYlE zLbuJXF{4~^LJ-@F5n37)*oVdRYaCjg4ojDHUScT-0v6rB5R1Awe(I!b6o0e}h-e=d zY*HPva&mfIl=AM8iMVvC0UEOn-sXmYqKvZShsD&ho2?&y|2b^hxEa^#nhW8tFb zq1Eaz{6_IsdrT~5PRzi;YG2#ABbqC5|Dxx56>nd2Hap;UxnPeO7#+%JaEcU+xU9$l zf3IwkuHQSv7>p*YSlPM0g(!+xv9kNxNm-dAQM&6iRL1t?Nu0rtq|`JdrS`6gNJdI5 z3NE>!HkjdaHU%uzlD%$3+q)l!)fx?6dhvN|*suw8O%BATMIk?b1w^&FZLAqNW(+2d zPC)66vLlkugIM2X+^A#HKQ$p~JRF(b(m_eJR3b!^01E?%S)? z>hQ=T-PcYUo1TdBW7pfd1uBYyB%2OV(a~7EwC5!$1VO;4_(&XY_P5Tm_PPUR49c!X zBqWUQ_B=+D89({{x3F>JW;C^Uke(5TynE+D5QMhnsZ(dn!2ZJ}I4`x1^ODDfWK9!t zCQs^dy#1lEp&n2aSbOnOurDzIL;!&MCe6dKP5*(5*|07K@iW*>6klx}zux-uU!G6jon{OVA)z^kL1t zb1`=0nC=fI>R?I!5}f_pA5nXk8KTtylwL<(dd`4p+u2j2GR9!>)JxcP=meTvJ`A%O z@Zdv>Z>uB8qWc%Z@Ba)X=NfR~Vi}|eJ4CG>iY&w8s6>AL^F2C`Mx(`&rC(onV9lCG zFy=r3O3zlnW-%f^{{`p`1EXV;EX#QPFK?o>x)DC8G0Y(2iHDXTDJ3P;q0u0;Z2n?g zSo<0pvuzOdS_sFkA^+| zJ{77ek3v0WI#g;66iGs~_Y!91c7Ay5ir!%8HhJ~jGf!d9uH7iFx`dd>2+Uvb!hjj) zeLgQV~L2sLtP}bz9I+$e(=5LuzlNhR9~$@LaZHm_pTZ+<9v&=8L#~LO`LC( zAV5HpRfXrDUISBzpYa5xV}IEoIn~&Ks7Xi|me~D41DK*H zK^p*0o;!`de7+719v{r`<4524CKBQY_wT2tw(sAKwP!9vrEedsto0T6^>Z(D`}>_b zr+=nkZohoGU#>&JA+8WH5Ivw`d)|nowCgwt;QsceNJ3|~{?*wzKDJm+$ z`yX$F(<8yERq&%9eixB;d-n&1fpzOX$F_4VP~G&VFvfEc|Ma78cYExd%n{x06AT<{ z1{cZi$DZB0(A4Ze?#x_7M7GX&;aCIg*}VtrHtvASCn46X#y|e}hcFoXf7U`Myz|al z9K5b+>wcst3Q~ltc=5Z>c6%(x8tRJIs+P0R)S!1@n%^!j}F zKR5>(ZRp0RV2(ALH*LljI}70ROGt<^;vfF;#ZFz5!_{klegmbh2na&!tan9`k)f-{ zbI(52?Xi71)^G+8wGjjXQ!=NZ|H>owtzZpY7cX7Je{R_U|M0t^2H=t$uEX;^xKRiP71h_F(gr5Gt~5(we-BNT)5TD-E%XfQf`vJ?e{CD4c>7R<|oJ*M~d zAY@sF)8T;0Vu4Dfy5)X;pAY9N$}wzsJj|BBq{glTMNllm+diw*TAaPo3|EV@%XZA+ zMz0Zp4h1OnDj7N*i&Rs1I8s!EqbJV5pi^UE{(M-hz5hEZNfKO6CrlR0*FL0q+-_7= zRw5xexzo&^{Y57LbNe_aY7IDESrOE?{sWmot8Q(x*l`Z;x>xDQ)#5~TRTYv`(>k?tFFalbm9ah9DjFhi!2BdvO2l4j75-5=gP!t7+KlvQbU+>b9F8zuftTNES74xk8`8?GKA* z<>J`d58<|_LJ$N<9v8Bs&9Fw;x<8m`fZMWVD>fV|hY&FgilX4if4zej9$kXe^qv)0 zl_UwfckRZu1IN(l6=2f=`Ll8`ea5s-`|jJjAD`_wgeI7wms>D-R2&|8qU+TOf z+YbRgpAQ40N>AUKKW7HY-v0vrh}Pw`vfF_PqY?&8-4LQX@$o0?u;WxMM6(@=EaS)@ zUdKN?`xv5QdsggR^82xQ^H%IBK7(ez0J{NLHh(6vCUmZ)v1Rj@`0`*WnpGAUr7f79 zm5wD#+dJ;~(z4i859Ip03G+80n z`BD74SMc(S&-S=epyc=ClTSa#p_3Qjk_5yURd{&We2f}By3@X&e)1Xi9Ir%+V1i)~ zO(FmQ7e7fvK~x2sF@MT9+&eF??dN_;20Hu+_e&kJuVHNFq)dFY_cUO>QD3aN1~aDh z>{+%iF#$va(&i(r$seF~8ln`Hj7^6Qb(sM2`Mi)71v;$`ilX4n&pyK8iYnALx4=4b z0z?4K06sllhK$rSq$IX4TaqLR@9o@$=BRXhm9s8tX~vg(cVPa^)&cCEj0_a-KMKLp zUK}t^aUv~cXxuEsMi0Y}S1reey?fyF`jDO&jl~13lLyi5P!t8b50^rSXdM#-L4ePe zicQ;gMGhnr~&n9%c zT=;a`A^0Lwp#z`**jHJHF@=Sgkdp%d7&j&rX9~_kG+Nu@OR%UAVI3OD*7T7h@a@$L zv2Eu*czhBv?n*-5+`R4&BpTqnUJni&uY_nz1po*t67A4I zM1xI3eI1G`Ya!ZNJMyVSH5`^SY}l|Fs~+rJJl^AWL#IC65bV7t-nYD7X5YOZ*p zx>55-ktC$X4V@JPGiS|&#bQQ5;c+NXFlG7#WKWzB>adsqqJhcb@d2hTw%x=p`SI!p z@8VQV6C?#lwd#>REEfCf6*#;yENSBcPY@Z8Jx2-y5r zhd~rnvMi(7?FTx{ZfMvKSFTpFCaC3=eK_#NW=?K{G>Xj>aS~1hHpI9 zIqBUKilX4a-n}?qS%C%jEksmw@0aU`LRNM*vU=F{tiLb;L<3TsNso$~J}ZiXICJ14 zi1*g7Lx~gt)s1=`<%*1RMTHR4Cqu0_!S8ZFYi@r7FZ+EkcW4K1w?{)SxpDKvXGKw< zR|QUmUO0O$7S6u&LXy9I{S}nD)X>@E@#V%{i1_zxB@hDD&GP*jtxsob^bMic6qQo&c3b3)$y^cvI&p+2=x}EwE-;Vp1Z6 zohJZY`#OAC^24kT{J+0!`4TK!erMlHmSy~}-~218WgB$XSnPQ16U3^W_~kGEdC0us zCmKkiqGMp!`U7e~$bK&p69Q-V{q?Q)aY2ZK5G_CgP}1mua^*DCN#h|10u)JtaC1FF zuM^Q7YL+F$$3s3@3enX5mfi1m!XDYa)JzZrtX};fZtpSdrptRh_{A^(1&zi;XiPS2 z`~9035vj&M{kI?A;hBl(c8nM^8kSGC!h@)`ZIZhg=^25En!mpL5w2h^L-hbI0Gy+3dj2 zfAw#0M~;A6Z^o8i{|B;D?D*afzH`Ut9*S;Vsgfv!9?Q>1WPLe&jym`nuOqgx0*@`c zKVYA-ntG_z?Ky5iP{HYGeVb;CNrL0zStxSrI#Wea5YbSH{8@p^2`uIaOc-W^)Z)0Y zpN#slVicdRLS8X ztcSnpD&qZ@uxe#s2Il-V2Lx67Lzf_maNn4bXo(+zhKgfQl-8uNqR6m&uVDJjz%FM= zDJd9Z7vcA~TKAJB)SWHFp<`!IbM1OizthfbJ8)H#2)%6>1VMl~aWpP__4xSj9|rY0 zMAS2aAYjG9+0ZwX!{=;*)OZEy>RK#W5_n%zRqG6R=n^$Lc)YFmHRkvcXs9S@A8RBD ziP{#78GBd2IkIymB2nE4+1GlUEcww;R)U=eis5VyoCR>FK3lgQPWxDBEm06uDnz7Y z;>>jycJJI3)awvY&uBDSES-A~wDlG6wKyO*T*BQpFY@kfe~ImEcHmM|V8;cO&IG@& z^}fawn~J6jrENcx{a%cU*1{eWSg$O1PA;N-mmo`i0D$E4py9%4tlzv7K40MM#yhq4 z{g2^K$b!Zc0YMaDP0vPA*%h2Rc`~Ti87epfhz6wiVe$CYbKgeknNn!f8jMOG)#=T( zPVAh&v>FW%8m~aM#=$ls3-x8iuxnJ9I5Hi}S3e4U7u{r@Uhy!F{^oz6RxkpP5s^3s zlHP<*cJIQAkERCgJC#YWiIN8uMQe;+4GN??hwAT_;n zZ7;35tFcB6sksJ%IU3f~Ow^w}jMxYR#$}}8fhV8tvJ>51`9GBH_a9lZ%`gbrjcp2p zEFl!e7GhHNZH$biQ1-nh%h*%0doZ#uQPz+#VU%@jSrQ>+-yceR@8|RM{q^$)eBM7^ zuXCT*^}6nJo%@{kx$bjK_zbGWaz*UVQc9D63=eNKh%+qwPy&SRBPKJ)yl-CTTzVZj zHH5B=HSSJXD5;t6$hV8e2ctvHIXB;}A^2o2Y5E#5v%Pq6ZKKevVyLz)@@@(4brBVT zLg#ZrKbof!`OTl{P4_EwR~%L~SDTe4bSuhh{=Cd@=I}645ETmZXsGlyW(Lb!8|=58 z=972L0sImn=9n$)uFM#p>}0;VZo{X840D^>ckB6>iC+*C)7Lj5)_i-yAFpUFU3a+% zGh&Q%6%Cx}AIg9^K8qY9t^hsIeA8vfO;$>q>5pz z{>1ivqUj=#K0&4efZje=B3FnP_1(=x85tQ<D{8f8YkZ?ZJd#po0wwoal$;5MnI=~E+ELQqyazJoTV2`uEj>87^bip5LCdis{;WgjUM* z&Of3NZNv5Hyse!BQUkT~Aov?*3g>wb-(cb)9oCzib%d6KOZ(7D8TyRb>FPQSz5_#1 zv!)&jJ?~L_6_S&M?6oDsR4-3;(QlSK0=>JOnrx-vst+Nu)a(}0#C6Z-l1at7t{6Qc z$AzOgi`n(&g)Q&5Xn)CS1p_L1QFY^byun7!7Z~BRaO{Wd!`;Q|h~hC}`Adv??sld# zmhX!m*>;=F26A(iBM5bsJOpE6T}V1+SKTgeK{CCf0gsW$ z#?V$-vm3|+^<9r7f(`l{o~|nMMe&V7bBu%AB~cyC@lxl$cFK~v$9mK2>rGEx3pu&2 z-G9sLYquHFQvBVhV@l>~!9`5I{Pdh#<&))I6}A0NGtD*#l-45rG?W|Mf(o7I1K6`y znHbp(-R!?ZiocF5?3F6=Oc?Ww&ej>DIFQzLjcQB&QntQ=O6~h*Js-%Ln7aI;L$=gz zNz2pRt@D6a;;^kSuX_Aok242efwL|m?H{wt31eX(-|YQnt2@5Tuu=Oa&#B@bHi8KA zKg!fjhA#6ReU!;J%%w+RAMdROxy~F|zF9oZw~xW&)?y_DwD+-V4>#u(R}|bAm-;&= z`iv6#`;g%>1M*J$aBhuhT80e};*6qUhBZoe(PN)pYT|2hfqyZ7n}kQV zx1NdLyv!n^K}t{@)QA~NhmXGZXg zwlNrd^k~ihD3r~mKP&nuGIEmzM)2&nkrfR1sV`DK){`ekmA9#OZZeH#a-mc9STzk1 zhJee3cR4D|vz+}jJo&*AK`JU&O)%k0(sKx9fHusjpN!eICv9A__F(+ppP9Ilk>Qyn zMA)Rqv8IYy(-krVsQ^s|YM5)pwA|g0aSaSiyMpvusT+iK%F%DH@VM)zzXVYubDfL( z&T2nb8uQ2Kw(k8dT6G87tO)WX;)DKPqV?nBb*1@U;r=LWj+kT?=I2hx_i3@4Xo%oa za0l-e_w)GXHdouX$3bmJk^y!bTHzs!sDW?Y8AdxswMo5dHCSv3pJn zv}(1!knY5-8L2JDc}s2edUq$p-1+f{n!?ZIuV-_7u60kb3Ge(57$NJ|@vk~*oR^LG zd@=o}VZU}d8l2$cG&fNB57d&E1#RN$_UoQ?jizJ3SPAg` zwz63ak;sxTBNrx4X$Jd;ou>`x-djhoks<#OtYK$ESeLLd2nrU9BRG-|H%d$2#p%aW zF>x(vd#$v#N?y6b2>4+J&B%`0ATm`?Lux~ZwwW(6R9Tf+h`IzIgU4;5BiRyt0&-~E2gKI>GvRVzy ze)}b#3hriOSyf@_&8n^ocbN~@r}*c4aIY~>LUmB2pYH);j?n{Q!IX1zIbsQtcb$f^ zUlp^vMfN5K9r61;3l&)L_*CP*w6EC+Nq3bkZwm(_glo79gi43jSJmXbYHSXOPDrKn z53|Gc?POYQZ507ag{z}zD41bca!^~zlDeU6lt)3CgN z?dG{wx9mkX&DEX>U>{iAPf0oY(JMn}+LpDIMi^x_oOAD=yPRdBV0q6Z=W%kQV6?+$ z`)tzI{Ttnja>5DaUY!!6b9oM@K)-A$5Xk7=@;6Njg*?}qEY$~>8wA1x@kZ{`;)?c~ z17QUoh!G3jM1e$y6HzejufIPyDmZElys8O*GC;!`r3kdG>dCP^dC+S<>i&TBw`al? zxaG?;BtZ4E1M%_6#7+U^scR2Z2inWkM~un#FErq1sBfputPSq7@h$=9o)_0-m3=t8 z2qfhSi`)r769{$aTEK;lve?M+EuwmvKXBC+P~A9SKyk?3o7(@67?RxSs5zj2Us4U+ zsKln~CF1hsW#oQJp%%Y&9uPrf$c6Zqepul$0-+{aJnqni=V~yP4E&{)D$Vv`VP2b` z4H{LDW1!OWi6_}i!ca~M0gz7Reyi%r0QG9{@nel2Wil1Na!cAaHCe^S zW&TU1yuP6zl@C|0vD-Ef07TQEI8riGCcQqlnA$~we;pEk?1@OLGWIS@J4^Z#gl|+) z<~Db%e*3q*Eg5wD^%wQ_(Y*wNi%G}FOr+qcE71DkRbTFO^@7>zfXY`iAxud`nO^R^ zl%&aK?FC~MiYZn$>!)9(ilsMejNz?wAo0XrqPp1!AAbxSVAwdE$1KWsyz;^!uhlQG zK6z^~)6{w>9g00zD1ap5Nj;fnB|B4k)51D+1MX7S>|?TkQ$j0+EHTPgV2lz`F-$uH zX)t)&xK$#SX`rxR#|OCCLAf&pic$tnA4+IQ!($vhbH@Vxv6phB5sUq~?88kYaET}@ z?PPIS$Xx7Aw_laRK!t7~s=GLvRaXc3&E?l$xQ0a*Q0cxn-=&sw?J_5-$xzhFIzo9W z?Su+MaqarXenB_^k0(){h?Gn{zYY@0Sf7YkyhAU-Xkr9{(q>M}1X$y~T~PE^&eGz5 zLZd_)O;+prC7HH^)rIlVc+$)1yAEWhC5;UIa$)PUXWq zfi+5ma#-m))rmzyqa?&1<8e{}pN#sFD4I5ARAozQglxo|0jG-?LCB^q5Gsy578H8y+dm^)+GLj=22mxQ1R6qH=@Pxb(-Q^DU z(+36tdhoA^!%Izeh@;=(8PcI5CdiJGtK8d9w=}3N;sJuiTh~Vru*lM6*LrK$`YB+W zAknufMl>r%qEwk-j6T6ng-3;1DXfmNk7C^%=GkO{@B2R>$dYMTq5lGv0W9Vp!21~D z2=D?3?*9jVLa?Aea?mIhV2%EO#K(RE`3LAE2BCk|{ujM~>HY!7QU>UcI50!N1peTE cNd1?y^9NEIl)>Ic2@n7SomR diff --git a/notebooks/figures/05.08-decision-tree-overfitting.png b/notebooks/figures/05.08-decision-tree-overfitting.png index c051c549fac5055e87842f96a76ff9ee29318336..c39586eac82da2f1e9e44555290f94837453214e 100644 GIT binary patch literal 49484 zcmeGD^;?ut_XUiDf=WnA_fXQ^rP8gSfFL=9bPU}h(hS`tEg~&l(hU+4Qqnzi4EY|O z=lNXUKjHhs`_2W|T);i|9QHYTt+m(Q6Z%?B{wXFoCJGA5Q$+Ui%%gMvZ%TD{z+1Wvqi|hY)0jIr_1(yI8vKIw~7DZ9! zN#yo<%4OkpDi$*59HK{NF_|R+P|?|2}?- z5c&V#^?%bbU;OWKh^-nr?f)*15iEQV{lCi<(lk*O{&#)e(EoRP{QtKF$6ypycm8j7 zS~#2*92LFy6OOK<_^xRPE^sJx<;CXoR06gB|8uysol#=QI&`mhc|J6zOiKjLr5HLx zz!8qoUpE{1x4xq|_pmoZA`DIsfvDy@i0(xr73-Ya-f%pQ^lyvieby9^eGn-tPY7O- zLYnql^GfJ?7voo3^qb=mBibg?2o}+dkPsCkE%8LbG?Rtj<7!0o$+CZA=<$>eeWeZa(vI(cDKE3s{&S`;FDpPr3_ zsYZi05nV>AIx1hc%wYk}=<}m%q+(C}+cb{VOun8_+j?~yf}EB-I`Z;>q0pz*0jfAXXB-uL}+?WO!Y=4 zZwr7%ioex?lGUw(+9$b4128X;AwV-?Jw29-Qd3dZRg(zB!E_jDysj(NTBC zls~pUIz7jaS++!v?k(k(tml*OqPgEc;_k_x82SHz(Gvfqr<6^VWnVO*X_SdgbMkAx*F#c-;Zobl=)B|7 zhDd2sM2<;7Xvi}KyocskAt4{p|AWE`Y>G|v)4!3j*Vimg{icWoS$P5gLtp=k(F(;p z)S-=ao6kx{y5BDEJkNJCF5-TcDZfjl>CB2BlbH8EC?6D` zfi=u2oF1aE^9GkT#?^dp*bt-&g!dtG2I`JXjakO^msYWGMxSo_WeS0mD1zhlH?sQe zvh`MoUu3q@Hl>2!mVO?>SC;udImBylOF65i@{n7G6vDo?9!!95X{?LNFlOF=XulOw z)}9@P+H|eBu60KSeH;#FfB#*J2Ta(mh1>#m}_#Dy|+lvLH|A!C<6A1LGv zIWtWCJ7|xrLuDt+U*)uFQx3-huiNV|cb;nHn{%If$o_C?_S<8NXBjHyF%uHe(-N_? zUUzVAP?7o73a}A6e~T0Gc@DM2iE-)H=2DJnK|^I9KT%^zByNC6AcYf z7yx9NH-sI(05`nxiiqUS)A_J{Tf{KDoRbUwI!o%;zdDIalh^D#>8B)8Z|uIDs4Rc2 zToZps66&TiItlv-YspkPnk{Krh%E7&KfN>2?Ae&GmzOaO0tl5ymEzxE*Dfn#nu`5}7hrw5vO>kXzgV8?IRQH*j?d1=kGF%OuW{76zaujT$E46&< zy^M@G8ki~*0 zraTkPgjh-p5Z!{#vv#juMaST0;WFk$jV!P@0CckYZ2N`?xJ%f{+#$FJfs&|4c(^zq{gLZYnN?iD+&Xak5n+pE2}LRG1VH0)<2`#ylgG{g4`uj)j)j z(-h{LD+)B6zq7nkvqP6VuXPLoSd~kiJ~P4IjWecyg=6f>g%ab1eY55URh1v-m1*m< zIY|0v5oOF0R~PL6#z$91#x*LfjKaXOamaC2?*%znfysUJ*xc4*#bDuZ9tj&NKDEU( z+cZO=j=AmDr8RYE(A8exO!LXx*7kMy2){tE0FlXla)AL%ynFI_Pb;I!K0S>1^-}}c zZG@gPJAMpV+cc|P3w&_*lS@MwTzZ*0gppDcO^M3K5ah&+JV2)hGPjEHV`jORlxr6g zO>wEI9Yd4LYt}XI$+MO=)R)$G`qCxRQVSgfjTe3|u1u>6GfaCE8GGXD^=Hu@;&1?| zqo7}9QA3eYY4*#*59Z4cA4T+ ze1jjWbQ`kD_26?z$TMXxb{R~(MtPv0el0&eZ^lr}xFN&j`e=m{%<7tM|B#pjTC6%W zhN-m0OW8~qOSRtH;sgqIc6nywU{?+(u&pAWe3mIt6U`(7E&8mD^pP@&Cf0D* zfL4qMmO{qEwA*-o$Fs#@`Skbo;tK>HiD`CRT! z0yLiTQG@4#4elB_#(J`9b4x2~K;0!M1T3%D*=di|nOtyL%|n|G zx7b?k-5+SbPzz!FT6QhTT~#KT-f$Je=X&D3&dyF78Pco5TT?avt&EAz&gbBfGCcEOzVIe3zO) z;m*|y9nGBDqp4Lj_0hvTRWiMN0z>uW1$j|kbQPfrNQvp2o*7yBXxR64&SRxNfT}U*eeG^M`UV6I z2MQErO!hw_ccd<_g}THK)a^E9g?S$q=Gq4sF>aU@=Q%l0)uQ3e?{C;z$*nVa`wt_r z6Ba(aWyi-S3&wmgRvECH9kV=gj7|3PQsHGNAP-adALFvi&O}tX`FV(2?7F?HfBn_X zP&k=}c%yOSK9B1YDX)OJK{}T+wgTLokY0A6tbYEOm`S7cdL}LCH29#XO4~8}o`zhz znScbMvNfCwX`%-!ifS+%zzAu|?eXyuX^AP_?9maYrH7rF!`9+-G%YnuKn`1<+4UzT zYCj$BTDIqtVlaB%^!2L@AP0z;5ufOel+j3ARF%=e_#n+C*7fdTj;3u=g)|W3q+devQpjA|6X^{bq{1^7yBaf%D5m9!h86ubh5zp zWb>1=IN`g#R@AV-2PCO5f0mkFp${-aeRer<74 z6`;6q_yuc!pKbCI$8P4lg8Hel&F;lx8#dd>Dv^v)z+AKCb)>wH0;b+zjm)lTuBqXs ziApN7ybnt&V|2u&JA$L~olQk>H$Se?WkHMFyD|0@I_QbJ?f{G?bB~%Fu=DJ)qtP5F ze@5TqWWB2gb}bm(q`a3M;YE-4B-Ey+SwZ0hY7hp*Qio79B5#Bwk1d(-hQz#1#4NhZ z)b2EEX5!Fob-1Z0i~|CB@Pe_$@vZb~P`ZXEN%cRoFQ(+`09>4o#IXAmD!#Mbq8E9g zgt~QdW{sp0RR8;t(fZq+Uyycn*84>ofs9P*%SBt+)Gj%+ts8J`jjE_xem34Nx+6s? zA(Y#s1P!?~|5j)1zX`vKC|Ow_`K0Q4yUen>+PuqiqU|gvl}%s&332JiTYH9HzLhsJ zLv~}5cX2E(EhkcM=C%?R5)xrddQ~+ZZEREG&p)fJW=CH5nn?X>q^H3RGJAVzd{~6E zP}y;jmC1X_=5J0Lhl?GhqpyH)CZUpN`lU{jQ+W0##;=yi2!_-IMZrpoH3vysP ze6SRFOedP5WY~+`B~$Zcak#HT%jgEFAuhxkPluUZ&N=wwLVBHFqkd$nNCY+X+gOV7 z3sMcMTQclGlG>ZVP_m(J00v+yq^`UBwK=l5Ed=_0pF@$r?R^v zMe3i1XA`HZ?l!v*4k-2Q#m7+uC4CkGL1uC}V?4x}Io(0z(0ZBP$2T~H*2icJ{cEp8 zn3LzmH;TXM(I3;LTEPKBkU!TC(AJNHK1KdB6M)Q@6X%Xlmab9JJKr3IXq1@J3A%R=X@~7+V>UE!`^fWW}o5g zgQtNr4@vcU=pf7tj<`%m@WuH$020vEVM-9WL|QM>|I`C9V#ncd0XYtL7T=aIpc#pA zrC$lSi&Qk`iJ(R(n-dFe=!(4wv+t>prazyI41U9tF-l}p2thC z%Gbw~CjEy)tSHsxdu4ws{G|}`kJ@XOr(d=^%R<+pSVpxy_c_(^9FKfi`&8+L1b$zL zjguLwa=433#@BkDy8B>t?^|$F1+`-xS{qV$kXu@MBdl&$DGWE%a4Ezjak{?Ice25CcO;*`<#lvcsiac3F>G!8{=}!*qp^p=X!ZJO$dAWpo3r4XNs(qN z3j{#+x>;krUEi&q4`oQH>iGr*qWEHF1#CP0K%4a~S*P9cXPTooWS=Qq}O zo{UQw9fmX!_GO3wYv3y)ONp_Cc$b)REG9Gj^HN$ED7JamBC015*Jf2y|FQB89)Kdg zERVj$?t~q}t14NyWk8x!>z&ZG{3wBQ67XeO3=R>Zs=~wRqY=NiOj;W?S;hej3Iz z1OB385u`b#7>Mvwxe=IKQpG#qC18vPE6jg+`&m0yq+~Q#K_)eq3cxMa8)(>% z?7tGL`N~{fx3&JNqL8B+z#x0x3_bT0p8>QXwsxWQ>mGaN#bjlr@lz`PE-{r5?Q@xW zl8W^Pv`JA_L4^3`0SR80+8);6!>kOM2dT*sJRdjN4F3i|*JWkQ6J6_Slb^V}%J}qS zi`E5K{axQATO}`b34)351+ftP0H!oeK;CnPIx4(`f6UqYSzZEvrxDE11 z2d0$)nx|j}PJ%^w{mRJ9++hkv$y+N$!P%0LvXBr3{A(LVVz)s@=uVyM3TH+!+a>H$p0Yilp^y?i=gha@6HLb}MAhhAs^P>u zoZN)kdESDzOnZVX4K<+G#fGwJQ2bUS`JSfn46REAFLh?7@#P3KhTMc{`C0`&OrgGrN! z5+3`_eT>S-4k4giZ^#*7>8d5BD)Au=9$Hh6P4id{Tt)L2YD#K(gWZoo`dptMF{^n_ zyS-4c8rV_h)`zjl)ofjB!iX^O6uS-je#g7LaEKkxX$(Wg5$-%Sf;R11sw}kXk?E?k zw3tn3iG8%GE$-ANiT}7UcP-Lx%3^Tld@pfLnOP6*H^Vr4s&*WAY1dB92a9hdrYqQd zn1@IOlcZ!pLC{6doVT5&=(iQ+ihS#`ALv*UM+V+37k4H-bDQMw=+C{w<$H@JQC+5T zJHnHuqntda3Ie-TH)g&??_Ov=hn*Wkd!&}v ziczJl&c4RZDJ0*1noAjY?XZAT=zp5T$=HjqZps9PT*~Tj!2HPCZlBRsN#jYThBt-& z=o)a>HO|%YT2Bx)$(YO2pLo!}b{|@yTDrEcJ5Sw(Yc$wgtcx={;sR$G`o)hU;N+!J zAC=Aus2hQe%*h`W(tAd#SIBp{bZ`?bJtS4a1D{3H^y9g=9R(`;pZ$tn0t~e43)!D8 zYK$M3HAH@H^vML3Y2BZv_fQ*7mn-GXTo15w3Q&fytHZ=i9$n9X_R4BnZw9h4BR|8X zv-K;%o%!m1P*zF%xi;^8g#l{NMvL{kplS1TZ$9&4ikO%c*RTHkw!@?vZmltXB|&8c zykyWoaf%V zSUtyMgG*MLl%QfW(rqZ5TqE6k*C9o*h*0swTqLdxT~K8%QBg z>3v;qmGSx1ZETYOzxey+TnmS1ZB-E1G|^%b=mmuMGZOdb+hpHi_h2$-<2|h_2?^mx zrph-fS?|Bb&*9ASe|A>*#!&l=@MD-PB0RJ?w+|yIX(*|8(ECxx6bY4WgpEUggx{X_bGSt0V*=-<+J?vw&(-P%4hrD{E#(mNys7popx zjylmKz)vaq`QTd@Q2d<>qi9<`q>x<)ztm3$d%$|~VA{7(yODZQDUTX5-?7D}AC?hh z9?Z1g6CIuAAx2q5oyWHM{SI%+j)4ygq^im;M@l=xY$Fi6*iLf1I6xx&Gb=u*N-!OM zVB&_6Tp?sGJD_SgXTF?xXg{3RHjve}93@sgJTw(ofAuU{NygM0zSprFsq29nnUDpi zqP5u8HUPH0toojEhibeg`G}mR=e8lekp4-+qIzW-?oy^4pXm0yaE_TNh*CvJ=tyQpBWcttF90y1kr{V^0txz(wH5C?zZ+5`gf<_L-7GbR1gxu6s5EuVfPO~6 zu5te%M|>qw?y+(3zJ;mv(i0c2`)a+6YEPQaG{4Y{NF6V%@QMMn{g83 zhA$>33PcW_z$_%C+tA%z>4%dOXcD<^I`W2R-`!FB-afl51Z-3;YL ztvEL!I4^%Ag_W7KW&EoSyz!`ELwv6feuWq5!+bYhyzi(#Lk7J;Q^mIJHMGgIpsQ{A z@5F}=9I)pRy2Lgp%1Y4^;^x*#*0m8cIHu)w$aR*!<0jn;rR}yY_Zhy`Ved+oWI4fv z{zDh%ZYdg%FfFAd@Y<@171$T`o>Z&Tf6kyC0Sx;&=TBr_Rr59=KQuzi^3&%e#nE>u zt!`)TB>@s=@}-<7lE+-r}igt5k+d8KCs=dZDbK~>3I zOq{MJ?=6t%Y|5L=X!QJJbEYRp8!6<@9ddW!C`DP|_m$x0k#s_Xn+CLc-&y55A%2R< z-sx=8Ai2RAf5vFkVU>kKMsrZwgQ(iCLyRtGS+UmSX*|BtvfL~D6D3|f%U#xTr@Xy~ zp-n3V3?q|3VI9Jg$6%f_R)9W*J`O0O1ug9X24$>KAzzp}b4|GFqZ($jZbOdbB$26(qNnkHk7C+4@?$!nOJ1 zE}7OVVsOj&x%W*xydjGNI7_I^Yp_ zT3JuD(V=37EU4ze|K`lvBQ!>IlPo8#A}xPJaoOSa23Kvqi|;-5A0GLqWTm!4_>G`+ z7duT_06z1Eqm7gix9Lf6l1hVx?vPlD#-&&K8_glwqcD$)7!j{AZKML-lpTd2VA>f$ z+!}(WT{0jeL){cUEddJ)OoOC2vL3oXnF3#^L`(ka9v&ggI~Rbvb1fj;C;GP8{QT?x za2d&U4{k&j%x`s|&Cv9wNCW4x;=_F4iPmixZ6hw1SK`Ec(zFDoigoP*Z;g`n$x4Z2 zPo&wQ{^%XpnCWU;)ox&?wT((VtOovwgwtdnOF0f}G*ZmPkf? z&aYjXtidyl!igdhI!WMqN54ci_?m(Y!IRoGG!=W_3;ikh-*~&^CR#|Zgr-^u8L6i9 zN_qS(%@DzwnLZo=y(m(M$p$w_IVJ^~Uv%xu8j7VB%4=~92s$H5lYP=L#SlI6*+zi#);-fV(yxtBnef-ARUaDn98EI3qcUDd-w(& zGaNLSM7Ch$VltrBYJB;a-7F|TTjP9$(vPdw5wt))b$>gjZT2%|DW~g*9({L515~B! zm`7N=7_630RGd+$@pgjOk)*0u^CxW2MhQlL*dXLbs!%f>#%j* zO!g*7cf$^n~^@ADoh@BTimFWk#Of_rIZbEjY|Hw2tT2^;djkY)9&O zQz`0z>z9Is4i~9@MDVd9=xW20Y6hd392BcH2{iXU~L+IbyjTKBA>J2kT@N1 z023XIAO!g*s6WQ5=g)OCO*Gg1G?kK;E!3k$uQblp)0|rYi{dda@_vtA!5hanR22}m z50>!at?D^&EgF^m+Wq7pMf=)gA@N9lGolpOAE5$4scw&?m%jX`=&_{ep4=?*L6_1K zn4|9*b=D@~uy{gg~$4 z)?JY^D<>1J-Ru2XyBE#fg@`P*c`2V-XdRNN=0+T~L-m%x=t_MBvQO$X{-vT%!7wM? zKiepXL|LWRXbS?`8ASID&O8p6Nv@ue%wN%P@o#B_K53B)ZL7oA0pp-~EM~RmC{vk+ z%@rZDc;UfG&@3>x zcrtr4J)u1B1N@WMN{DtmR8Hcg+p$KbpOFKi`k>1_H0^moOAzzi<*BL9HbW-%18ulgz#Rm81Ck@bTz9s zGEiw0nBxJ*V$(9^4g77-240m2?C5YZzV(H?At3I<_$|4 zUFSfntG&FYo>9G&(VfVF=MeIPUIQ=BBtgLd=mVgC=1>m=U9}#G@kfhs~KUrBEr}Cju;L-VhJ3xxP$e-Vp zGQ1faAE#G)NnVn(E(MA&WGiHY7D=l|xz13TWoZK_8hGsz|f%vBj-DI(wL;qdBv6HPBaLBR07}S3t1%g2R0)-qiVcqvlEg7z=rbmzqvgVEN#Y zk^(wMuB-xH#-xqQUD2_r5?BfoAJ#79n!F`&@PF&PUzs)lY(^;dDRRbjPJ$b;;atgU zvEQSeqYhw zneJ+3iJ^o`4~cp7^RBB2y}R3WY?0&YNqs*yW*{Sj2K1@(R7>A=+nuW0o?adDGKU`Y z?0=%!qQ+qWvs`JJS_X6$!?V}3WLGoZI{zpD;=dfJG^kbVzI$*O8j>L`w{ZMwz#`nt zs%IWIh$N=r@f#((d>-^&8_0ejOLGv&Og7l@MzZz|Wf1A-F4Zag0=DUiL!nhTlWpI` zj{f*Sw}oJ(!{Mt2lKXyvjA`&&l-N+7pkAqz-mHdqY<#i;!cpAK6jkp&n>_)dTOj*9 zcn0%V`Dqi^=Y0D5Oe^=L3DpODK@EPGE_d-oB3Xc!vB&ZCBk9OIK8{~3CM#W208|2< zyT3|_X4e;0QtL5d)NQBwmBK5XQ<=R;8W9@4FPa9jG6k_<##Ah(;i@wK+OZ*rW_f)C zs1IJe7MJ$O1pV1yIttj_Yl~TzmvKaS=b#;oCbTHCy$hPY5a9gGO9FeVR|Pl`JgZphQw~^`vrf*^r^TF-;?_uxK;*FYJ7tm;^_pn#EdQEl6 zRXdY8nSA>$)ZVDvc{Kim^!>pH0aj(H#|i=SKHg561>{XRn;*x_Kloi6zzu%?Z8a#- ztA_8icurjhAPDUJac;A@zmYcWV9;E^647lKCl+nc1}u%i4gRlsi0?e8n`&tK0{ z6L1$uKD%~VnGj0v=ej*5VK^nxLPauW#c|op`=&Hodm_8#TVH;NYHR;hfSP%`I^ML; zwhtX$mX+-xjA8mXvfm5gcah4#AKy!UiK!N@i^wFz^O9FbR)aLx)kh2(e>>^U zfewm-c_T1w(oJTNFo%CfE@h|+X6nRzb0eSU4>(l0^si*5{x)cdMR= zi!CbQ%+Es{8wQ@7kEz5?&pjKVL%G&ibHnaBAh`LRTUqXUx%z>K$rk?Du$x)o(j?(Obo>B zv*tbTRFJT+UW6XMfY?V_(=g#0l5nB#C}@$7<`6iTFQ^U^glqgviK?UnflOr4SMmuG z@5N-J^P;Y^80G198NZv8Av_WCeR(Q$F5s7;JAY;7qX`o646dhkE4P8LGMVie;^^fgnm&yz}*pWqkC_*sXKphs)$E6GoB-nmvDv+n~{P&pdz;>`!)l$(@ zc5zcWFPet)XZg=&BthgbS6B5mBYc5P@WQSEppx=x*7OASX`ASPZ+!&6Z?>Wl0i$@! zwWDCkLg%$lkNsSo*pKQDr}@R?xe8gW<^n4S!_wugE1}A}*va}sy+$VvimZj+9BJZ; z9^aBU<*$M|D?2o|q7Ty^DdeC@oy=VQZuU6eSd`c+o&q>%C3EWtzGQno>LnmBEt>a! z0FZF^NQCW8m6>h5Q|_xu&y?_TAJ1wIy-C`YDmrF#Y}b=FV;zY{4kP#KC|GsP;s^W z*~RLnnx`l7)4PEw^#K95cjSfM8+?mPX*4%X+P;TMw>Lg_!$fz^=pK?aefiH;*7xTJ z6J7K|ta$`$JFAlgqDqasT-g4LCbp{uclDu-r48ZyN`2$$3l?6;;Vj?awuLsujD0v8 z!sxW4ICO_cQG(3lqG7qVAvk6WFowcQr7fq3lE~Clx&U}%Q%@$=Zdk<=}Nov9Qz*%N&R|QEB@M)6mp#>D)KTN_D|2%M00y( zzM(K^;0Z1Af8SaITEb~bmvJoGL&*m>9u5#e&jUg##`V-YYp}%3 zQqJd_WYKYgs1g*HoIggjAS0C_E|kfr`2H%#@hJptI7DlU|t* z?$cF4=`=<+?m3jygk*HyA04ulYKn~XxuHCtY_31y8lKq;^3-H}{utbILb&2f`Y{}K zvCy$daVj&6C9dYPQiNUrnp82au+6^Uqk}!%I18>HbLZYs9qJO^8XICOB^KrDO9HtF z*JELc<*Vt8*ETl~ z(;anXrkD1wRaKq-rm3&g`}x{U5Yk8;h^)C3f|1~wnv1}$rb9ma)xY*1lou~0iFaH5 zu_S#_0j*oy5Ae$5MSeIq#L~IC&<(l_DzEQaPaNkG^%;w6#F5%_7{2=F@!_syM=>X` zoWSW;e#GJ~H}#HI$D9PLGt30rXDte^fbB`;RqxOTFhv0j*_=3x^3`3&lhUmEE4sefGzhT|wFm&HHAi=H7wA?NFp`kY|jAU;?;)`NS{ za3}ye4GWB(H*Ul!zN{#UJT_q7Eu@01!i`}vq6*hlkQ?5eRr4H*ZDHsnSlGJe98`ln zDpE!`1;!h}v_#c9|Va6{q%LIXv#hmtr_PA&b8!^s#^f$zNDDplDM zk#&_pr?nL2@`|nh$2Za2foSPv`NZV(N^}|S)E+}U= z4tfl)p`sfu;A0`K|F#}yQj7J^w^v0;>Z#Di1b~!NHBE6>wX}3tObz7r!<;>eO_6nZKznnh^Ce2Zi%SVm3CP7Z#gDR z^T7e@2d{zLY#$26o-$BUYqXRVVP*AMtW`D?wu@P(e949awqD_=L+)#B$3uOD6}^S!O|)gk$< zI{hPeryJ~dr%tg7K0iU0)D!~kRZL@`N)UB-?9^qiUB0ySlpfb;?0NoQ!?nx1ChCvZ zl+^nhutxa)!cTKTH+>fp+_|G)yI^@*0?*Lr*i#C-TYq|VXrm
    xysL~Le9qd!(m~J=KoimZPc#Yl*0?~cvfh^2r1gkX_284qw{Ndw$mmC4V|gO#t?f#^TlNxEt*cR#$I@B!BjQf0 z-8+*s3;qAr+hQpGK5m0oUc_f8uTwOaGVTu4z&Tz{@)loQDc8hVxsJ+Q+?5*p zsSD(}9kPuh(m?*r3QX{)SqNLJ!fB+;O* zi`DLG$yOXFB2!B(XND9rP^8P4KCa|nNgXIPo+(R=VI;evtiZLu9;A@hT2@I)x*Hvs z+4sm}e1(A0p)DG6g<<&Cre)>*k?F}syLqCa&zkm+4=t4ytj}u)XRL8b zHw1lIXiAkYvPT9Mjw@r%shkI2UiU@a27(}IBG@%kG%eR@N?52HcX(_h8@Qpcf$vg3 z+I7W>TD2A94^DCYGTMedPtR%4{5UQyyAESe6FxmHRC{-lm}o|}cvrk%1tL(%(19i1 zuUaHXsb8^}FQv!7|;yN)4VmprN_LmGnUt9!mQ$?`MibvE^G& zKEi#sMpt~j7Z#4)?bcwqndu_%j%%L{bv-8FpQ<)Hb{6i}f6nG-?B{#cv(_bXd~r-4 z)sbQ*OA9R?q_`COFdIcj_fN9LHF8aQgIaFCfyCEtqh_>8WaNm1$+KjpGn<(zY=~n- z`~n*kI%`DxKIo5W+z!533*W!Z-}4RI`l^T(Q7AP(`kK+0Y!?t4(cj1;S=kv+1JiD= z3f^m?c>XJRtW$0Br+0g=j=0Kfp4jdh5t)7$bEYfHRH6(%QyR0^Ta|9ssw?>YFuOXD zz0Z9WF0bP>9NS)*;nMeB{PId(UclG&VG1ghHyrA#$6^3=3AsJzLT~9?Ix5OJcuPjtT!E!5JmTB>!V*3p|;zP{|mDcOZ^~RIULWd1FC%=2GIkB{BTz5t%dWu9_|LMr`mq5r{AbQvpxx+jo`43H9s;z%70tWw<4B}O`#+p{`Kua zZUNGqAZMYC--V&ClfRAI_Ijz&b&+E}DD;orUMVK8^XDxgHH*E6*1-aj>V=Q>$1x%) zsov3O>5bgrjL-;=3`-&M@@u}V4w?%3nekc1jeAN&F(}R*einN!uG@>0-UtneG#b7X z3G4~N)!ux`?CUL_b=y@qbGSn_k@SZUpQNqf@f45QO#F*rrVsKA$DV1;Q|f<)aUW0x zI8cfGc`Nem-SW7Zz;w8=7GBx)m+5efaOBgiH$=2OqsEItJ)%<^B0fkr(&4N>J7=-A zT)1wHX}jn%o$zp~BkLzqwFUi5f7AXd_NlcIn_xK$zqCK>@B4&f{ClBz7}xnpJ1MO0 z@PYlG^smyenBDT@lD?|GV$Q;q4(B|qr_YJMSPH4ovwQ9`f1#|w99zy}Vqbm0sV>U+ z=lr1g-N>bCP31JZ%|-hoCz3S+0M7YC{)PHuG`ND?mC(rF;59-9l&pS4ri|GaBIG@VZZKVnESlpz806uAd zUPa3pjP59c;$EG*DkD>ItR5_KS=HPd8_1xz>+Q^(bvaYmo0>-S?_+S%Y?|E5Kj%L1 zE_ir;Mb79(GJ~Q@x`3k$v8%y#EeVUb*7UqydBNA9R__(A>w(2vbXhWepWp?rZHcT^ zTxWq9^VQ4$n+4#LJlIC9@itTT&mq^BIg)=8-)6i14DBUpVCSa3LhNM1H8L7P@rQVgPFQu=;cW=06xO8>I4EjfPymRMB!>Q7A zx=d<9cSr9APS)@e<^n^>!AHxMl0lEAeS!+DnuH8|Uv!*#CWP01x-@~%+%#Ck;14o) zSpN(@Xj%3VljTYKFCxnCFDsS)9ZDcvyexm%G$9J))RK8Vl}RC8;Cte77S_yhNvcdR zwe@Jj9)4BUV^&AEI>oF^I7esD`e^iK{c^|75sn9T2Zx(6XRs^fw%xa<`WV%U;mqjV ztS|8{U)`tclVrgSaT9u+ue}Hal!@2C?1aC=y2N_zrf{)vSA{H;EcD0qiBc?YK zo~h@hByH%J!%MtJTo6e#&2#%x%gyd@mM_F7atLyDT<*Rbi}~sKP(ad?m1N=U!jq%3tMF-RiO3yBQGz!+TM7W9`FM^_{g7|Jov(I=vK2G_`N{&xaPE*^)%68d_G+dbJ2ww#FD!}&m&AS2vrC|0#`wO;+rD|hNDjmK_M^rm*sPoVO7^0}#7-yoOT2*KZzu$4bVe%ds|k1U;(J6| zDl80~{8+UvbOrpPc0o8zo+xFrv-8Sr{HkxG`Ww|-1|+2FnSYI95zTN|bb3!udg`Qo~M=)&$KR%yxYg@1k20@Kuj0rciJZp69;FX*G1=-e!); zsw;yzd6+6+T%w9e+a$Wq9^@tWqzt1RegY}cCO5!>wf5&PW3JOM#dZ@=L(F$sCEpAd zw|XZ`UTQrnZXXj%tOV4|?a^m?gu8mhfupKRFumT3ygEi6?9=3UR3p3+bL}Y^1%wi2 zc4QZ+U)E*bFA%L>!o|X)cpdHg%;_ini8sn`J_y$4abh}{w&&;(JGx&Pi_VIUHj#(P zwwctHU*7(acDk+PGZRNw*-Se&&Tpd z4TCV$wCzxG$@O%t^xQ8WtLHW}79^85w6!Fi;gb{f*T~l#)@EHtj*aIlR0h%yw$0yd z*zMAt`FDF?RCmlD8ss&+!?BfOAb1hrkbw^r#S;^Qj(;VoD}aL&7|Mzqza5GTF{v>B zWl9x(q@f`51osYU434P(m}WkM1#{I2JYR+pTa~eA$IpF!BS`i18^4yI6CxLuqgW1> z`mYe4kXJz!{5}$5xmgfVI{UorPUWjK1s{B06v1~(*$~TeW%zewY&Pj==I;DGAVQF0 zodw;HftTE{9zW6#Q^r+EkHOAV$pH2V(5adVXYVt*OeD}__@e6;u7HC6>38pIEkE;* ztiGjh4K?=N1_8XfwES0W1f(02HyOGGMUf9@lZ%c+da49mP>mCpD4dP{{Ug158E{C# z^!IzOeYL~cNrq`p1Wk>#f&CnnowNSA7-FmGtqT!8#Y-8RPK6+scgHn@xtlUEBRR2u zjLpE|L5)zt3w-e;ApR%qljhJG-T#M%tBi`Wi`H~Xch}G<(k+d2gOqf4H`3kRB}jLd z(nvG3gmicJefjRaYw?E#Gcf0zz4ue+otE!AYc(STEmDQuET5usOX&;u=I-4o>1hd8 zE?|1$CSh*5kKr0oIT{(g_j;hiZZ(xtb?SIWqK?N5De+FL^cKPLe++Fq?EUq*tuB3j zs>Z3+7gj-WrB?sU>yzmcc8|VKy@c6i{Vxvp)2I>V~)NOJi%~ z&HjkJHB~1**YA^da#0^@N`BKj4Pu410 z7G{>849URu^S(Ep&vs&$#EB%+KC|&*c7#mf<7Ub$=UmRuLvK&;r>O3CZ`>|H&^5&G zSPnQsmy3OI)ALiI1w^gw=>#Gfl?+{F@+K z1D<*`T&t^y4r5s9bfoWP)kz6iWwjSRMD>A0CUNok+zeR6_?b^Yk%%Yoayu`2zhnzL z&bR9)p(4$= zF3;%XO6*hDfQp`)Pp@P1`8Zqs+CRhvCVVY+x?P}ezv+8ccySM zGR5cndyKaEQ(CvH=_oSSyYn`Od#KT~uR=D02vT2FO|fd;He4eWv8iM*H|jRVzVb&= zx3E%xbeTjEdzJp9GCsrg(Q}3aN0*PJnkK!*y_OaBS6P0LdOF!3R`D+{wnHs1og`q* zmnRCO*+VVa=-E@eX;;E2Vf~33sA@@geB>1|xF0b>EcY35QPp64sab;qe0=&NeqCdv zVDO450&Oic3XedL;{xs(Q=sN$&zgAMwXZn>{cq^oLxBZv)WumlQU7^#ra0o_eH(M^x))zt= zJ&jOGJlg`B9wCqoeY%-VgJvAT1-}>F>uJ*7`QIG$YTl9k+kx$$iDbuxxYNUn2U`?d zft#*Ui*g&$MCwX6#=F;}u3|;SGw_Yk(7+?LKLp#xewLIn6H-=pr{ynU#r&rECO5Q> z*2F`NvayQbEGZtk&-i`sV+=;Po~hyRRlTy^Up+2v{gSoi{gYna?O_1}I~&D0Jen-G z?%J(w4~H{LfN!na33tauU9GFNrUUW1k*K8ZyhOG_+tmC|e5>0TsG{#rJ%8HGLAz$` z&yeabEZ)+Sh#>EuIURm3c&yLYA*U(g6{~-MsedY@2ehfr=!1MfKL?ikZZ&pCdE{@J z6i}OWWp#cv4}TS3CG}+V+;?ggc6Q3nga_OW9_`}t<}@SU334bevHuZI`$7w)=9LBU zvR`-;TJ;IIEl_!|@&f<}e%0JSxU7a1Zx_RmGknJHkR0Ns1Hf)1NXBGh1mrw%&Rw#` z&XQw1ej}tVqA}825A(*5`VAz5c|@u^1k8UGO%*8{D<);cZu!ch#KL&&H<);vgu0ML z2lv*xutjahGbCIay{Xb8mNr|&zy1xYrI*7-4YmJD)(nI#M?l?AGw$?!`oZId#+%0x zn#`7X@2C1m##)cDULusy2`5s$prG(KE9AC~D}WEmhr0bFh9c7&O;qx#y}{gey&Q6} zU7jDn*Xy*WR_-y&FiP{!O!d2FjvME&dHtD2%I$aru%Gey{sX{DSvXijkHscy)fHz# z%`}cQ;366rw(?g1_fr|WNyf#Qj*nAPas`^%JG%$j0y`Ahp;-%TxW}qK6PIky?fv9e z?x?{(l0tyoM()aavG%+(9-YVcT3*u-w(Pw^3A7w?goTduWc)W1)O>H(#7{|2uGP7i zyj=;V87X&F+uQuKFU>)`y(Gayv1@~yKzF)RJS{nwrYKz#l(2PVE-_4OU<=!EXBi@0 zZmBv8B)^V%Z#3xFxI+VV9EK>iR8}<(rL;F7ja7n|J=6UI zAXCV1&e#5rAt0H`hds{9R&&@1Gg^!b46VvdW`p;01oy|PrT+GJQ|DEhdpn~|6)NKu z*EkjXZ+}J~V4!U|4J!Lpuh{<*oA0dj)8psk&HVA!nEb-(Y71nG2(%O0PWW454uOzg z%D+F_>0%ST*+M;%svVeyn`@Hjk5bPAKwUCunS^LPE!s*Fq-t#U=HHl8Vz z$zJuw1xjP-$P9~rqUUT%YuCp0^3R)ZNMIi<#5T(x)4%S`7=#4NN7e!?Xs}_(@i-aB z4@*UE9ogg`U=tuPgUMaX%bcVqwnhSy2Aag2s(+`aWMl8YuLgioOh5GH--~~23TXnF zff9MSKmEgD^*sr?KYsH{9lRWrof9_G?8$GWw}kF?d%V6DQbZ?;%6(k}tKq4+E3yds z?+Z*m|0583dz!qv2eOM20#7}85{beGO?1D_{T>Jg726(DJwD@Ch(qlYh91hcl3%Bd zv!5+1wucfN=sisB~zAw)dUb*JZh`q3kydg?^d65)=e(p3PgIbKAS6-paF{914+CiqpAj0PBJxG}tc>r9#njnZ}LrRl*b z6ky>Tn|Yu~BFPa%f4Tf*dA)kJCbnfM968#tP!+7<Z+!R%x?Yf_}Vuhn8+x#{buU9MUbwE@1gNHk6# zr}gM?-w^BQm*~X@rSuQq#5AE;=s!iIC#NTT&_fRleb*5Rq!h;GqZVWWsgSam))+#g z3Wx+APH4*n3?dFSlq->*^p}Uk-X73LGWuFvYyL??*1TS-XICkhXq#QwMrl9&TUKr% z>;C5e$@=;%!BG=heIWN$AcEh|L2BwQ^!-#@JrP}95EAavl7z{N^qJIb8Dm-%LJ_S% zP*>-QuD$wPkK!_5XN7DxfqAsSJ&<_c_dnyO;SO={Sh|ZN{wkdHFcIa5Rye@lnc85}p4dEOQYGtv>9$c;fc>CrpZ;YR#p|eYJv?*DHUeR zgb(iS4ji7_I=|i$Ncn-Hgq048XBsV*SJ;ZM7yfK)S~QtjoaXn6iItZpt>uER-;x$u z4@Zebi5Q3Yic~6s6!XCpn5@2Dc4|i0d2cU!2R29IiPWOK-U_$?mHSVGJHJrwy%!8E#GK5?xMZo5g)3ELJD+s7m%AOt!k1>Jw8EQHFDd)MX( zGbNYPClA|~3Bh1%LE7vrriod)sSE2$?FuplCGhd$$Q+sq4B@!FIO2shlO0yic?BIij;51SB|d4;V;sXJJ}X+RErg51$2$$%IG{~x9!lSJEMmv3(lMM<-b z0DIg(Ve9WdT+AX~d@%bKT4E*e@={9w*4lX#mhi1N8gb>${_bXxDuF zhyM%4)UoQejNnP}*_?0W+=T0h#w%QDKLK#_NT{Xyi8seK2b+|!f44S)lNCA2)xmyM zHBE76*jma5Qz%lx@J}Rt5Z{?}R=o|<+4Bxbo-rU8{HdS5aRwUahuOLkQT^)0ILeXq z^k8~7JL&W9#nu`N zE}8nMMs^pMpRT6V*Cm=$+i^MO-0_1Bm3c3hF@S*y zV>k>jTDHTo(20=SFKS?NZX;rfNc_(6TD|)Z=R>)P*g#Jq@`#JKf2g z8+c>QRRY_F46LJM6N4sJ9M0)s_1BMbK^U}z!bMMbA2sk$TD}j%eMuTW5(VOEG5_7$?-6y?#vCDrDn)o3t0>Mu=+jQlCY= z;ZYD+^&~(eOfma36r+MmmjRKSOTUwGCLCm`U%vKoTqE@NsOvkRQoaM8Wum{1{Hy&x z1}H|^0fcL`fSC7$9ktrK65|Yiu8Is)UJd|ii&8B!1ynDESXNuUpRWJ8z3dBjT*UbZ z=S9v`-}^#PVR6|A-aa9x28FUkQB4`5e6ip9EJjtmiaxblTX*Yh{oYYr*0Z%qG;miM z1BUN6j=<1LE}g?YkHf(LMCZ%ohZCd*adD;8e3J*!?P{{HY&N((nVSQHz#WokVhgd>IDtl$j6Nf!EK zlNGM!BOII1>|Ju`!F4jAfZ%}hLxw&6a){v==>eL%H_bW;*O~H1f3ML*xrByL`h+cb zlD!+IdD737f|OH+A0kZO8lw}FsD&!5H9AtL-I)%+M`-|r1|*_)2wiKBNv8n3#c}t-)NB_9Mjmy^)i=cu1(I*x#pG?M1pRU40cUR1Z>=a9hI-El7q$Aw>Psb@JUo&ABTke$Z85cGBf0i(_bMp zE!KFB$EPdNu#8^w3t37MK9n*(;`9J#`?YGQjJ0NH>VsO#pYNJz|7=|APZDfj_<*ML zpM2D1rJnQr+I!@If`jGY=H*dn!Hs58P2wPozsliJzAY#aYA@DZ8o9pXuh@arM#iXN zhzqZ6ID*Y*Jtdr>L=A~L@I_KMNv3y^+a0WHW}hBY3JwyS6=HZ?1!Ng`zZVGqw}bUE z)+%^%cV(6q-@9fAsds(~6Leh*)6Ko(_EnA6ZE3kwJjlT|iBk1pwm;>#Qb;nY<^AW) zu{t8foY)pruDc$U1#TR1%U!UFDxmAIp}K{f^&B3)c{LGjbHVkoE>H26ofLmv1;Cvd zG!={ojIXlQ(#7i?d7j>W%0zPA8equo&%K8FaH!su)hWy8v{)-#h8%yV4q)IX@+SUN zoxwL(ZKfi&_2}B|O}jRXZ0gOszSfk(w1hEUO0%+9BcAB+5^tIjf1djU30o0-4MX}0 z?sI8&E7Za{E?DSpbLU^pemW<%E6rMwXzTxRdv*rs`_ls)^06)0j(`Q92&&_-V+R+` zNRXu;0akVYBHRL&T_c-3R!f0V8grjt4L3D=41I#7pb*UnJNNTH+}Kw)JZ4vB{7{+R zS!^WDutEb3&SK-4g}PfI6vtp4bs1O)|u{AVsO@W9YU(5{2mc>KL%aEa4$sR?U27^DV@h;Yf8ChKC&x zHON|0udD|A_&B&VmU`QZwJW8wacey&2M5lZXnQ1O<&iz*<+m%-e@&LZ&Tl#EbWUKz z*!Er{?q~YPQF^E63HKu`;xfy+4hgW$47xJbR`P{lWMLSxf`{5dAsq`SU@twS4xT#Gn0i^S*W@ zfL4j(E|L#$lL~*$<9|{uF*p|MF)z4UZ`Q#d>(_l%qa(?!(;jt#u8s(4c z2`V50tTm?5m5UdCxGvakfPugp2!=Pzja(Czegc#|6A867lLwXWxpqp%uewXbCw zQdw(qI;ln79E0e$eE9bsyzmy>0!9`AcrxqjvBc@ah~PHU7@~vAD_~*~G7vt;%GQf- z)QRreW%Gj;c$=QEJMtD|4o@@7=T*SH&ca@?tZx^i{c&e|+gO00^J8r_R6@lEQv@Os z1U^0?2Z6Xm5)gk^);A=G$>U9Z$l?8%VIuXx?$?k5|5WXy~ZoT96;RBV>Ac`|*US3G49giqsxJZpXBEji=^>J)bV`pA_F>cjwsT zlK?Y2d(}DB+uy53OAaSk8Q?s@`r4+*1|v(oBdJD_d{#0};va>%%%}cVQdSlC(0gO$ zWWviNO1ii@nU6az&niSKmdAC5N)|MPHdO75h3B#vIU@A^$93OMT?rWpBfdl%ZKZLs zpM<`qM3OB#BIw;P7ib7F0LHSN5={W$q196w?{{;L)H7k>;&7QPEImE1oo-J`w3j;r zCaKNiObJCtEPw%1_rpa$dE-mj5*C%P$~9GF7@0FG&nwYLl|*3d_8nWOLIT88OGAu6pm2_T3!hu#(Byui z4uJSd^fioWzQCkTJH5dW_1z}fJvfA=9KmcxCt5-dJ+)ta7h=rz;c}{S#N1E-&xdA) z@XzxiaV#g!CTGX%scm8i4x(z1-&2}p=5x^{xl|Ss+d=tPBy}5s?1m78qkXGI;jb2< z6K`symrH9knS9)kp5)45lkssvm*_szQO%axZ%0s-x7CAVz;yT6cSkGGN~Y)-oW)U9uI%1x;I)y{ z`{+7c4K%Lx)y($rzk{q4pO`YT&#_N4YkkywAer6fohsYV=VqtnNa6}+D)}Bx9!P9z z1jLKX|B2BC=W=@UdsP-IgF?P&8beSXW?3p9$i)!HsjJj}!9A`I0f z4PcxK3(9Gj)V=7SOJXQPf^;?KLF1bt^<6@Y29Zn+Y%JUX%7|iBRRt*E^Pb-)7RUPw zo@SMqzY`W>mGqQi0Ke|A)(EYx;qF4@<@ zU~U2i&iCN{W(`2m=F2aKf+z(56zxrLLHY9Um(_LBGT91vC*$_Z*zSR6_>T({T=hde4*uDN~RkcVpu!8De3o&b>)+6y@<*KR|@ zBM-}}STu9Ct)=X63_f1K&#(!A+Prt^IoLT1eUzwiQ5Po;z(QR+bEc2%1v#E-UW^Cc7$@Va#TJrNx+jSnaL+`f4>e2 zaDczrxzJQ3!u6z-i@Da-P{bi=QepLCYGHDFPQ8%owWm?ZDkT$zjY7uc%Hp*8A5yusYTn%q|i-!RVSE74kuIv=&Trk~qAs z)zyeSG936;Mql1fg|xB5H>NU1+P&DR)Yml(w^m=(X?sT2zb`0F%LVnuTA^}mU&Y99 zqqT~b>bYM0z2bK`($A}U!Xv=`?Ae+|vlIWV6Q%xp!uD@)oRkwNkFe2N~82VWw zjtDb8<(nux#fjRw29~rm7sTqr?1<~pbYDIz`SJ+`_55y7Z`u|c**CagGeL>1n-HlNar|M&q&!zVyo5bmg z)2DliUkO(`j%-TPyv?&COy;qk{tz^F4ywF7U%l&w$Hm4?{betfMfU z2$*=#U$xB6gb!NtS7e%5G+0D5BkMX(m~``on5(D&C0H5g1pD!il?9#O_54>tcIT!#zuwi6^ep{e74GH-5^;ckT+gU6Pcv@h zzDhrO-x7{7P zhadH(3)-XvQtQZPH_658ru_zb@(eSJ!)We_vv4yex(5aF)U~o~3?*lSF(O=l&UWa~ z-^|C8he1O>)&Dzmxae=m&9AG+0I_id5uJ8@SHG(vT>cg&vnJ(<-+mTTUqG~dHVUK} z7l5H%Pf62?(0gO0KJ!6E%$Rr4gS3xB8$D}0dAP32b&ldMoA*y2_K%27_jd<>Rozqd zIEU(_*)uKUadO8>X{&p^QVLK?EHBkAy#4N!{TZLoD~icwF*j1tyR*9@9FC@ZC=}ep zRgdg0v;z_o@bNJD|2fkvQkA*3+>@m36Y2=Fa%FMKG{E`z8J?HaWGeu%yUab6`T?sJ zcH^CB2uau|dxNpHy}QD8R%#t;ZKKEXU$-=v!QaR+MLq*mCo+eVhZ8NsP)6)_gSgU6 zTt2_GXx^MLQ9>o1l%REH`rG!j`dSTtU&g$OD6^Xe&BV7aCYkG3CNi717o#4{+rBQ~ zU%&ckbkfPPPFkE=X*_X(e4vGL&VETOXkPOuH{&|(c+(~OCbc>^1JCD;1=NP8 zi&Y+-?Ebj8yRv)oGcERziOkahJj4h(YdTAc z3!zEov&uanU}sUXrbn;0sN8qDoMa=H@ptP%9=xq4i#WcP%gCmt3Xi2`56@qYilz;{ z11#r#YZdX_6r1ovMrAz!y`YKmr^-CFFoaW{o4@2eiDlVrIA%y3;asmPl7Wy%OQn_-w`nMmj6-7V+feICe z+tYzLJi^*d)AC8cL$n(}eolbOD0F4iz`LX(3NZC{%Y12e$7TdOIpQ{^E}c84)&nT& z2`?2fBW>(7A~jOIl`*-0P`(<%UPE!nX7{ol#a>ie&Q1pGJ9pxj3n> zFXKL)d&WSrJK#T?@A#)QguDT7PRr|a>g30$@!l1AL4O&9417(r0nJiW&8%j+7-ih5}twl0~NE(z4f68T?$ zsbJl$l93=i+qwdO1?y_it#^teowq#6jR=l4!~84ty0+TNJR~kdEv&~ zCbUY4E2~A(=ZYhk4KHe-5_W%F`f_;Z2vIlIsFN6~h%?j~J7B^EP>%SpIFk%ad}Yv! z0WBAeMBp!X9cXUNbUkzV!;@qp&&`flSN!XHjC*)2&I+%G8~XD3vlLEDE>|AW=eb$W zhDShnZ}5K3mv<1aGhKPM&ecgZp}A9%!H(uwC9lcPMJ)}>j`oPz1d|pR2l^EQ`C*ei`(pxKc4No2yd#sy|UThzNEV&hoU&M}}NiyT!9TNHxxGByY zF@Ds#1KBJn>=a-W4+E0fX;v%d_|(UOg%e#TR)a$C4&m}+n{6#;!#J!4FZNj+j*(b= z;CGyU)o{xt3FDp?N_5R?mS_WdrrYK4wyp84kVhkcV%>YymMvCOdste!VpU5iBKj)5Z1}0i%TeQ9cRzWKNLlTyR0-WAPSWPz;bq38hUU z$Q9UJSX+;m0y?uowM9v60nu@_-~a%{Bn5JFXFL9SWv9-Rbxg|_t*f$Gt&C&4&tlpl zQ*l!^t^fTYnc0PZ>z;fuNc8ZtJk~NZokqOcP3-5}l`XV~wT{bZVfA*uDVWJb!fd{M z8f-xBY)2FK{DSfI=qnJc46I)=G`B8Y|0u@2Z-HdfCk;r731)3y$jAabKWYHKWCN2>>nWpbj;r9UKL?vDf~iUDESBRwQhmtx1rn9 zr}5>&udk0eJ#OlvrIBAO4DVs@TDp&v6b<@KWeDe|a~3*!V+ngOt)Y`PW4|j_<6D&# zI0{zZOKA61dqR8if;k?f20r`wzq;zz@bzB(@P1HVt7xqF&3#i*RvrQ5+tBycMEQvL zd3=B3rpbz_qi~FiFUT(|{?R&rd9bCcY`lIexefKU|8`o^re%Z6}6pK!aTGvv5}TfTwDDQ&^tX@uT$kGG6F zUtA(c7xlfVH)6tBPkFGoYLm6Fa_ebCr6_s=DB_`RiP)0iTt-^@*EQWVx@RkhzmWd$ z=Y=+B(*E)!DHBaFz{OL=6B=;mrsCrPY6_^jcSiz1u>tj<`&FL9Rjp>wT5J))iH>;P zGy9}xDb_Mw@9iTfVxE&X{h)gUzu~u}oi|)a!VmoP^w1HSQ5!S5ttVf3?Sv&jaIW;X z5CpC>01=wu%f*R=yvnkH9rXlL#12yvAyiCmdD?9e(o-|qP&0CR%nLAh%4w5F8%sb& zlcJT`?D%#7D|mDq$hT{_(A?x|06Ivp!4Kh$+2M;tQ^qw#!jI5e)W{WyX7L!g{q8jD zp|W>Inw6imAF>EigDr3Mf2$nl|L@j`weL~Dq^HFb#hT|ciS7xD zk*ZPKLl$=uC#yA^A(C-A5U$S18f5-eRFQ4R3`yRL`9~1Tj(pY#&E}i&;$?6du^q!N z>z}LKa=0=CQx?-I=7MBgK5}7)W*XPxyF+Go6{4lwiJ*&&=(%hgmR&V#L;ymh4l17B zdCWQ6;&`B}&p|>bbyC>C@M`5Mpz-^4K#w00nJ;$Wo%?tR>2h)DCYaJ>V70Nj@}79n z&h2GpWF4;`w+jQ&$@~>oq1jvPl*`+pfyPz=i0$aOy>3@$M3V2hQs6a@;6Su1OBQR8 zs~KNe!wmEqn+kx3*<8Ti6j!xTxpIKpFuMaLb$ph)@hi|;rau((?r^m?HnN!kZr>jg z%OHwP#0`=&U!n~X2gx8EKFMSmnaa;FtyK$d+@&LS>UPJW&^wPHiF81G#%BPo5^TQP zuW)f%B=eA(qIrOnl@oV*d|I=pHrL-E?32nW_(+X8gB1!gGqk}#%qKTaz&XvW4YYkU z5(xbgOfBy7kbk_>C__xcWkhRM1OJaXz zB{ox{Xf$;oA6&N=yN0JOX>7M+GLSF=$w_~^XdV#nm#BZ)hSgn@m6=4|xe;hOqBH0; zy?@dl!3|kSfhIy>LI^~U)@NBCDoaf~^$rlcF)wrCzF3Opq#~4RWR8CNq!F{v3IBzY zL!l*gX5Z4>$3mbDqpb2v=I^z~hE|lhvxgr!Hv-Dns4YL3P3>&VASiKzf9t$t%w-FE zkeWwf%@r9n=>T_=CazPU|0XVNIiRTToyYds_<39@1v5o|q=dvSK90ocFhX&`UxIEQB^S0G7Z|_$f8D z>1-dydp4R(dY^d-h#6`m7UVIFd)wSkvN6iE2&y_+Sl?a--b$*fQRa$N99jeV{-QN( zn7bDpwkwvxuCmcrS{3*0PzZoLG{b=mbfA3L;iidf-Q;GZ)uFCMP00wDr9|^4U(EHQ z1GxrV=6y~`$h9Q;Rhl?&^y?&GLweSGaFLiGbS$?7ZwTEmn$CCGBkckK9*;ggDibfb#i?nJY-*!BlL7u;Ad#4JX11KQSyM5;bV*#IM^3Ze~6#+f>!UwrZ{zt50R8D znXl!1f-r*__e*}0A-gMYSq)lS(G4G44{ymX5y>2w>ZD5~A~r0(45s}_6jwp#OoB_t zPaSTdwHM>$z?S)p+Kbcpu=;ez+?dFOG z&rSEh1Ff4@Qv`lY@Vz@*embV_#IUBovAQX+?W4A|bfaaCA28ySqV(j3aDo+qfG-Xn zszH8Jb(43i6cfC zef<5<-?xAId?>ud;%b25#Y}(Y`NPQnPCiy$McS=Do&Yy{94Y8wcLd|~-|gA@1dyvD z+0WE4b-lLzG0FA;$kqPX5K%G1+!Ny4TTtQ`63iV@{j`{)IgCoA*A*x?HPXY}O{)a#dFshicc?vG9aw+XC-m`IAa0;NO|T;5caUG=Mq)FzcaoXJ z!^v$~;AkVOGjk>s2CY23BvRKfVekE%H76xgD>YsCs34Y@&|XoM$NUly==L^!rXjOY z;<(xH1)aqynE(DyUXSSS1gK1gEa{xYFU#8;7u=NB3?4m@NJaWF6&b?Vo!`y&@zaxC zxg1*S0_+vqd4E0;rSKg+)0jf4wG-Anwzt)3i+>e+$bbDn@^t~b*7QQPpXeOHlEM1l zi@$G3+7%!bF*9|VQUIA5R0)D-nAC0tYpWeyTj&ipB4=TmV&`H2n%OM=C z!{nOT!%wDmo+YvI&Z&q7b0*8vJHuly05Kb2IZuVmwaua9aF4eWM*fD^hJM)3_EkT! zlSuschmv%BRy&t1B<;`L!*eCBwjof~fQ^B~Z^c&aQ4rkETo#p1LPaQo+`D5ULF2A$ zm*0mji3psX(D5wJAsx>D@ADbF;j&9)7hwtN@%quY6S4Kp^#gKypsz+lNCudF&i*pW2EUja|P^B zro=$Jbt{`y4tz2~;bTXG(XsPt?}Xe_85SX~S+9;a03YwOzHh#KB2{KHY8pUwi{tsA zo+jY?sS<-V{ zt!@K)KSGv?p@Iz!@5UC->etOAjrtK>8i^9rg}9Ba?g&QSd9~q-T}n|VuG9fVicimn zT^KkryK9Kt=L?(e9dQ}INVd{oU6CPy)t&~#iD1KqkESftu>8|w)dZ;Q>=cnPuywqB zZsUNW2atCqPzC_+q3xXTEm3yzX423cU5w)vraXYDn>*V4$my}{S#s^$o!DS1UBk)9 zTedJXSX1xxn1SYt_9Y&;!7{M>#N}RJ;x?Q_M#9CTp%El?!`$Ew+(6Cc^^>k~rS4;U zSREx(nOh7kKaj@6p5?v@$-+zGwfm>@ew8m&3^)X2oY{S4Z5cQ@zq8XnY=7q9A(d4T zHCl`pNCRM<5{LjRN!%M-M-}h-F_TIj)(=OtyzI(um43J1tR7(EZx8r{L2}cE|6YRX~tCgn}w7YFjr(e^sYPh^bEaI_;~cNPoU36aH{8TzKL9BxBBFt$2u1D&%RpZ?thoP z1CTwN3=-~uSrL<)AErosyi$&Cu*#`g4|^E#ZoU4yq_ zm{fpA}HPA>ptNSAEbw73qIS_0dapYA8Z)AFx5a(eNyet0Q3DeULHic zT_`O*X71yy>Xp-rsRV(?%P)ymbz3vMOqm2ne^bY)8a?n#Q1$PFZ8Wwn4q^vg;!(jPd!94czCFn_pu=1-lWXy7-pA(~w$1_!?{L=&Oj;Wt>dsG5-TMj*_V_}_&=ML(H5rbS zP}eR7CfRgmEEWIDnzZY+7ZwUDnSj(9M{2I58-%V1%JZ=~BME&f`9lSB10`wplg81<8?Y>@fu zoRM-mMix*}PShVWT6tkXpUEe431<(<=887q*Y6=Ey`=IzIj&o7in^LfCZBIUX}!5v zWU`d@^Pk7ia*aK?f-#N1eH;<`JDIo{$iJ2rzHis+>RQ6EV@5IoNfU57z1d2fJYZH} zScyfd7o?qNm@w|aXuU-aK7dSK5*K*y7D%hW4(4bZ*qWYjL-Nwx;Z)y*zYDJKy^5 zl)K9WelDPLk4Al}d(tAA{kSJbWtBv^brB;gMohpAvl?W~<8;9=m}6H-HzEpHPuKTm zg<0t!SllI;(%oA=mSB-gY9VoD2_YGT&UAm_Oj@rg_USO-9N}C%RQiXi=ANtL& zWybP6J*$1gnqD=A3f~?0X^x2(s*^7^G}9^o(l&zjdR3DZh%{n%Fzxg%fsdCN*2>W0 zvG=vWEfbp&6|t4C<69?$%4g-{9wp)#Iv;jv2FaDP5bsxf-twSTVZLY;wk4RU^!aiS2kIA8)a}62 z{-MqGcT7kozwx=zGm0Xcr_xNoZ(T*ekF3JaOcw0ob2bN!kDn7iJ570F}K5iusJZ!6Io1&`Re2q?KUp}abs=2kVR6K3sD-c16bq@Efy#Klti z#imfY4+b4J#ccoH^~kTLBo5;I>9*)+_+*#_*Z9G+o!-De0&cWtHeKwVt|px z`EVYb+x4^00V#1`*&~-l`}gu0o9$xiV7}s??gv)fp+h;J6q&yt99Y_umK#D@;Odg1 z6k)OS7+9YW06Su5DWiK@Nkoh_9){LF`R`ZLHX6k70dL&y1*y*u5ASd)WPh`yz|t0` zA+Szr7#}ueCiQzOd(@@!8%p{kDmrRH_Q&Y#MbdhTGt|HRnMEKJNqvDF8BslAz=Pd< zH9LtpDHxq7TYds~De~Lv}b%|{`RCI&Ep+nge;WU@&^6X^Lsj4iuL|E^Kv`qq0@ z6Q~>SV)B`|U0;K~lH>0DpkU-hC3z`2|4A5(u4IC!XseBTZrvuxK)Cz}L7|kI1l2&# zC*;*q$t0P*8rfCKYCN;^J93lhSW9(~{+syK@izk$piWWdrpQ0{cCSTw2-#z$Qg4R= zlM~P04frUeXFDJcF)7@ZXDnsx$XIo{kS4rK?yZwpEFM7@Shx>NF_S}BOV)cn`dK!E z>4#l8tqhx7dQ!rB3DvoFI!JnVmlU(uLHVrKlvVG#SV`3PsSJqA? zIb;jRt(2JySzSmJhRFXMW(HByL?#KK7845CZ9Y3ai8N;fM;ao`@sE(a<~;Es!9(>6 z|88!Jlu%IMAR3ClsT(0C7VbYqa|wzWTUeZkMUMymkRV`Vv{{tr(2;`(5gFQsc+@Q# zZlRz=ehpmO z5MP2>#L&yZX#4~cIa0n>2P`mL95=q;32;X%G5?X1w1UFR{arH5&c(vmKWOUwma`F8 za&&*uF|={%aX0dC!B2ZG+|!Ab*#CuqGBc}r#BW$MQwBn>lz{J1uLx4RC7ZM}aNV6a zBp|?SpDt2n2oI^bmq}vCwjWsVVx29=#vVw!)u2E9MobZ-h^|^L$Q^NWhU*8C_z)&C zB1^1WleukiM>K`nk+JJ57@~8W&&8f-UunF6rVOO`B}5@}M^=XuAG{q5{$TEh#`<>Q zZOrNpHVJy+>ZmBAuic>= zhLmmr3F(qA(ra|j6uK|&BvP&$M`K)R)okPhiC0jYb&-*@l*^WHzcyY9PO z!^mRh)INJZ``OQVUsSMe@^rYPQYnCdpM2O|UaS6Bk>)jX2VVfGY=cFsljXNZ#DgYq z9%92f>#q`5c_wP;84+=@7Xf0ZZy=9k0=(9nroO=8f(ja@IE+Q>-NTvZ`Ciow$xuEu zT+@LThDiP`kA%?8hQE`ho1%fG)R0UGEDOr+>>>y$4|-BcW+JK`JS!j*x6z9n05N$o z;`tbtO|dz%r~~1q$l&JdhePUfJo^U6x?AE(Wadw`5tUB$S9>Gvn)LG+F zBFcaCg-qlZew0&J;FmRDHXjA;iZ6>o5vy+}73?#1!(Z6D?QnKaJh-mEWKnn6|IjUm z_j>*XocoIH6+VP6kmZB{s)KF`X6tg6iw9zGfBYItq2@SiGTaw&!ulvX93bP4gPFvo zn|;ANLarrDV=FO{kq|YOGHtKDA=eLvTMQYkAPgRsBn~ZEdWd?m5wV2L7Ff=0WqMTW zV}mAMlw)Cm#J?-ODDKQ9~GPc7)n&bR_9*qbHYy`qZXg zNP3w47aAn9e6aN1GZTe9`z)u-FNq-h&uQ{)t&yw^Y8$ytf9fKg&Yrno!r@~Cc!|#@TZdu z#fwh~Z*6 zl$A)A01VH)yoyvFn|ny31CL0r-Qx9iZh`&LdY+ot_z3?AdR4GB>fPVJ!~y4OvlcZ2 zWlvIqhZWHw1Xk~TYgQ?NS5)N_KUAIEuG~j+csn?SneJN=iBDPCKi+arBRMYr9llV! zkH0P+6T3G~HMJi5Tl2vFl~-n> zY(|zz4r=lsCJ3qD1*I~+v5ZlGpN((#Zk+6Qw3uB&I&yHZu_^fu;ooT$xfE+YcXP8;Y%Ux;7tj_t;2sxSLo@qVcLbdSyO7Z>_W1l{OueTFAk|ClTBq#u4B zZmEK)i7z6b#9FFm8ZkCqDxNE9{EYSY>fR7(eHC^ut97ZGty%FmsJ!_`rjqZKYT1-X zWfm;C_1$=UZj(Ri4GXDT3AHt>z3pW1V!b9y>;Y%A=X~qAsYLWLKf7l~h{^;bq~$wz z8pYf^rIqgZ(Vt~%5WhkTw+vF#;Tv`3vf1GLh6E??1Z%5^>(tc20;#Dff*_ns6avAjLxE|0DC)XuE#W}l01VM{W`3XMSUt&Ud# z-9`G3#v^^T9LrCVmv3n|TFqK6ARrxC8WsBe>Arm0WsSTL&2_pwF^_VUrPq@O>MP@2 z(J+qB>fDOiebO5zcud+!ZxYjA)3<_PudI8F1#zmTGUNRfsqV;(j;=1>J@Z>&H{0rt z6;-5+qus+upHWbp!krM$x(|{6IPJbCQNj>wFhq9TtA37iLHe2CA`>qMfiu!?eWy+} zz2kiigLkniB;A*6$fNB$@;N8_I}y0y_Ipeh1X`haSrawh+by4{Y5ceLp(P-@f%)ol zaLCImWuH@w6A!am%jniuzZuz}CU_Btuu4u1(U*0E@4vl9DMaK;2#Y>U^uj!SPG%AT z?S-kyTG$Gt$SC@RlFO1&z~@QrsSn@^Rr#zUC*?U80c`#})uk{o5d)$Q$Ru03g~m%m zXhHl#!#dXM%lw|@N!?!gmGL^rbAU2RC^WP_mN;&8X?f>{K;P{rnp0k^l)uO>bY2$O7B%li79{XfnA-~cctZ~Awj=g6-8BU~=g%p)#D_v- z^W*&YLqU!yhq|gcCG|cfIzODb@8bE9rci=U-ne)OfJ@-K*@dJpKTH4wR|}twFB$!m z0O)!>=_{R5PHJb)cw-%-bf@uFqru|CbP{p?=jf)bhR|_>J+X-q!p5$+tF(InVL$k3 zK|D{oaHOMprV+mszF#wbHCHkJ`kNP#siRC>1(`FEvzsD{Eh4kZPp5pUN_g$nw0{F} z@p?{%t;G{-a7$PiHnXu<@+$50bKS5&yK-4w;ofR=7>Vz4TfexlY+|hu)DdBBKXBDo zTe!o~zv4-fAE`-#YExy%(b$o89REP=jfF<%XsF-kzo%rC$Mtiw&FmyNOosvcffwh6 zMBsF;kU|tUs}rn5_6fvKoCKqNctIwnA#EWecJKAzysyhnYzC)mzG^!rGkfnd*PR6Nz6YwXPi=;j%WW?7T*=18K){ga1zVep($)Qb@r$xwC?-MQuW zp6no{y6Czp8j%vilr=YW$IMx*BT1tnkt5XV?e@_KOzY8;V6& zUz)Q5x;(;|=&%6`K`R9%l>G{Bi{mJJ6h3@3nHPVd8msdo7P2jAotLna9K-LyK2s0s zJ&Awx0I)!bko?DsbX zBc5oP<*SxYMT2TKN~d-bCcn0>>3lEr@_R;bKwqZt{0aB9myNzPj>zi=(~GD&tw>K` zqtAU2zCx$U-y=ssLdKNGSw%@?Q-rR zNVGlu7CbcN%=sdHk)fSvQ8Ek=cgPW~$JEWN4;9bh~43f#j& zZ~A*Ap6#;v&VljQoOm>rUOFHrH@|qZKJPWov}-W?p>bZ540UtxDPK_)>9I6^fBeXn zL}08ebUvS&5QGPS@-P}LQI@Fg>02SZZH5LQ1uw>Pn&0_oM#ih!b;`3KPb$#rbsf)h>; zu+5nn#(jz$UCe!*Pf7|RQUtV;YZMVxwIYDVuT;t!J)Kjt|Pue@a`&rb`C&XH+W%}Inm&*6MA zJW*4`{N$L~VBngAE!Oi_o%Mwy1{WR`Rb8h1iScsuO9?0-oJ;VAw z`9n*l*M+|D{Ukh{T>8F0{-)Ct4f5K$o#CzI*AMJLT|EX>HcG^V*{*P-2}bk}y#hIN z#who3>6yJwaZ0GsTA;zZU_wuTR*-V>+lkb>+>mT#vpvgb;xMs-wzYMW zRk9ck5@Xut=`dI6MjR?wQt(sYAqbVy0&)%?%eRBc5=dT^C!-?9hy{@?pzY?u@WeFQ zv5x?)^)<%%aB=%54mLD1o`ulFhGENADLAtVW}RJWgyECJtVuL6nE>(-**MECyvr<| zB~`p*A2MIGa{i{NKcd`UREsnb5qa%}82o)tm7tYkz)@BlG20TIAEzNwAW+4@xFLX##*W3Sr9UwD zyImD;l1)XAh`+@8&n!EPqIy`-AT|IDNBbtA?rK#}7&uv(fD`Q7+ci4Ato{9((XHbp z1Vir0tLfvKbFGy|vzbuJEQ}J0NS^}@6Vb}^pEkQPi|C2P1*{TOT8k}``BO;+q))~4 z#sK2!_Qe8E95tOW+! z@DGW4y%L5BJrJNb&?WgP7G7rOh7WE6s-Ue)7lL9Ude|QR*1#~6uF}z(t*4z;?Qrg^ zn;OgweV01)r>JB??!I))LY_NB*4>+=xzb9Qw$6yxI%l?yq|2}mbO_fltKbIaC}%pC&g7dFM#y#`pVpRuRElu#v$t;)#bsGe%Te&E2XGes`D^2uiPL(qf|_cQ-qM zV!8)L4M7FFKYfwAp;tX2oExU971x$dU#u*rJSM3`M|*d<08JC=-IM9ed!M7?b>DRhtGS42hnu6)CN6cY4*F&{h8 zx}4CI2#| za=Z4@i+!4wav^q%;LG-#6VgpdN}q-i(Orou&16=gujf`aee+UzjpU6JajsG=7!0%( zJ!=U;A3G%~Yy60D1v+?NP5u-Pd4Sli4VN1y`07by;q;QzGIxwv$JdX|2Q6sig1%dq z9fC4Aa-=%>f>mYnXDPQ4NptOmAYcIAMc^wnoY}qjI3h#`VnB4Q5i|2IKC@jtK|s>R zU+gV-*zeK72QAwt`z@WyxZzOLO9vc~qrrm|R+L3Ux?cG#E=lrAp&apxoDyjbWNRhe z2h5mK9M84CjTb@O->=a6@=p>?h>k_g?2gzowG;Q!!U;#b>veLa(pwxRwvgy(myuD? z6-1l?391QNL9bQ|Vm%^HXx|e#jrB9a(ZEDNw3jTAT00*Vi20vd00fPU6?fU3kdJt^FS?_5EFXyQ77iL->~6N#2ElKTx!*ar#C;) z&dShrm7j1&gefIc1unA!!RJDh=mxRcW;DNFFFJ5swnA(COJDIP~LR zw{9o67vbG4@}66at-%Xv>VXp{tu4Elv_mk8@BfkVF1001`(2b*UOQD1G4)ZE;|C1q zbpwK z$B%pWnK&b4Z45;?f1plDB(KAzkW2rD_CQuguUbD$F6n;iTA}i9f?EJ++!~|={kMhZ zTT@lKqSzk}Z{Ot3nnreAI)IpMNYeW_p@TuDmiSomzB#5c`{CW~6n#^0DPhlx=STfL z8;3Vjgn#FsN;7b?VVDJcrnXgrcYSQNe6m!TdGsl&_*W-cD;E29Aazi2WG7-OrJ5yDhbUex54z8$0XuA;tx}#|94exLf?*P^YtNtU>JVpz=gGP7 zmb+t3p}KRqG@I1*j}fKJ59Z?3)h}ts3D6X*QkbIQ(Hy?dbkC_Ah+19A-RnUaUKSMK zNoYmLY}i$vy;ZLl5B@}Yced=HYWerXEV&SoXH&E=D;3ENn>PK9JzH`QLqMIGK^-z0 z=JC0LqOnm^PFM&Vn|8OP?Wy>V&f90S+anz6?=*08W}5J|oJ}dVwb!{pRy$}CZu(Rh zkV%>`jjR4D-9?Nr)GBYhQd^9?i(dO}+CxLLMqL8HZXwhm8sDTYqRfKBV!muSyMFIj zwcn*|Wst0+xc@8kSA(rE*XJdAZw9sFarfUVx)r&iHOvJ~d{PlQ#Kah;z`_zH>il$r zII1IxtFxiXUXHE|Bcsf!gMb)=_X}6JhMv~ zG)9VmiDnL&UCV|CP|+OiPLkL7IfDUaKTMpe;{qcYl?hvR-{9%#x%&;MQKy5bs~OZ9 zK;93#m`IoOCzhCmU-a#h3TmOBjFTQ6cT7|o4RZX@=t9<%8dY}q#2&?j4X{eq<C!dUewZ_6E1bos)?Ok&0Z}i!)X)Q4 z-5=Pb>=ePzx>Mz6sGotu*Q-HA6c5F@q~8y%o+A@+F0AZ9+V6ujF;LeUksL)kd(I5# z_|%>a=1CBHBBK(uL|4AAdI1QU%zC)o_XBXU6CAwtSJIq-XQ8C>Vdj-07J0puP;vfw z#xrA3BLa%Zb{m}(+t8`dSQIU*CkEg#a=V^N0R&J1H z7TK!>mAEVofx@}sDSpFb+gfQH_CS_Zj$U8dIEX%^H%@mw#!*f70(JFZ^YR6 z)b4!oVFzE6NEk%n3D_rJ#=uvfJD5=+aT*PkR|fL~zaMIde%PW8y1jjHEfah=Qi>Q; z|E7E0W27=VDT-=HqAg69=xQ7bc-4hJfsq-oprXvqnL&ip&uM?r4Fa7z}j$4DW zFjH!Iq@;V0G`l1396kBEQL5o$0xaoh&`xxD^AiPPw+l!@{qmw3Asw$-$k^sC$e-i2cW96&EUq z;sbYfLCFP5m|j|r6#19kxlf+E4J3!D)RY|AdwYFWU^*ThliEaBcCYDxG9lXAn(T+i zf0osdP_1z1&{*QnCb4Qoq#+cjOCJbnY7G1~v~>Crr|OAm;Lz|fR(?o5S2 zWj?IfK`h{iQ)p1u?+L!CZzX3wXUM`M&%Tls!wJtgje57gFR>=yZbb13+ZK-R%kku~1b0x+Ses&u_Xy-lrWOdpU+Q;oKS(OrZ2+w_nm)K+~V+ z;HRiJ;7J(wm)4_%dd3f)0m+YszPj6vj+Xyz`Se~;?Z&S9*74f}lz_Y1@Qb0>v(Sxt zucs@GNhuUWDa;*fM;fT{67x0EiH9i_#Fh=PWv6!<{iXhdfE33{EbGcU(Rcs*Qo@Ns zuuhL+xY#uj_{MuaW!-=l$6-Rp?~rZkh#fxooH+qBqR|`yU}vw$_~eGXK{to6DYc8{ z%tgn2oX(i)O%_TaixqN+sRB@W(`(>kuZ09k!ltb{gqV16%)e*nCQfI<{qzZ*cc~%S z8%J!W%I^*M2ee;KGE?(~j z+NN(3?#|wt*l*ECOgPDFzPRQ=WPw@K@qPK~+4aUgsj1ONWBR3{My;jU+(nA^Uet{$ zg0+h_8kG;l)cEQ$1|9~3*+DSka2x=%45{C{UD7@krVFzm;|D1o z;JrW=;Z(+%aVAdx96_mIrD^Q659fwKQGJ7E`zxIzob;>#qJclc2al<3P|<&cdF^sT zPy4>}u$~l$KS{L#oJLT;t* zmFr)L9JvHQG&-EK5HXWR?|GWYD8)}f9!Vt~=$rkJ2>c_lbe4`UAUEt*Yt*xH8jA#= z{0k1hw##@=6xas#n)n?hewXkLom$L3SbWbth7~@lSamS>qov^B%?p)TQ1_tdS!>Nh zFWk^zedVbj{t$8Awl}(@C;X0_3RtUwUMlgSBPf85wc~U1oJt{7CJuL`?A-Id;K@To zUgPlY8$>4WlI2cy&+tUoVzn%@fQjc(Cw=O2z1<=B*>UfPYL`(B6?mzWv4G6z{Wvhk z4F!cqEn(}?CN-p*9?M5+1B*hs>qr0MMX#2gg_AF@&5 zX`!Gbr)qiJv!`<-4&ZWiR?*!uS0`&lRx&1#xDj#65q?b7peD#f^_F20`a*7|f z8ix6SCW$RIawf8HKSOE5i(a>5;c0vxUMw&b6u@T3AAI+NxC|HNcEC{p0R`MW#_pqs ziQD5*PzVr}NT@jGEgDmNg*175B)nIyuKxnyVdPSSDa~#ii@E!Ihz~C(Aflqo=+yGb zRWurQi)JZ|j6kkAPl;35enlPwzJZMgHgo>5k&{Hp;W#fxsxo__ZQYmo-mT*cXA&5A zK(L1o5Ru3P-;sfsiqx{msw}FumcLD23K_IKzN!sP!ZB``0o;>P?5Z$N^V=DC=y}5A zrDW+-(BUD|jNwE3P@sg4cHtVO4VU!C{Y?{Oq6$?N=wTkuq-^h{D7QnD%RX*Gqe#Jj z4GU#f^R;}cG#&5DI|vJ9y$l-o{fWI23kvM#&F-HR`+6X)B(u4Xwfj67dNI~<%WnBi zmjG;QRPQpkF&TkSr1T*8vch$>QO1wqYDj2Ea<1W(1TAC}j#4zc>M;l56W}M`b&Ij( zE?uWn^wcutoP+B>C(85wN&wNOO$psN5jkR$R)9mmRuRQ>}$&}#SIFgNCHlGz(n3-drvyf`G^h81dP^))+Wg%OUo|_Z>6&=ej zioGczi;U`l#UD3LsPU8^t!6`^KW&1YI$@1ppI8(ojgZh7r*kw`Dn07d|!HCG+?QWib|ru{vjO~j-Je8Ng*%7 z4?sOcuN#%G>Si!F9sCFPPj*8bz#+cA^OgpKw}_v_7^tMOib9UKq%xjFxB|)AZ-{UE zIGLIA?GJw!;szYlh6CVKT-X89l=QUdVOKNqukOEp#0ngZ4e9zG7|2BH4^t6M zU96TFF$OIz=`*}<8>uIaWwjVTmY4h*6tigivyD&W)ee0W#2k@%RJMWm@ZA+15Um`& zs+nJY-ntGu%K@;39KfVtoSMGB?U2{0C0@BV!Agr1B188NnGiDYAupwvxZh&`QU*YX zgcqbB1tQ>Zik#Z5G2$y9np(Kz8%y80m|*`Cj=3q$__+r7%|@05sE^kcvwogx25cO8 z^-qY&`F>4m?yZBXIurWKagu-qE*R<>#uf*NBa62^{-!akx>KVPk_jdA3LJ4EoUXCz zPN*7SlK~*Bv_h-rWM%^2K$La%Cv*1(!37la0j!rUSd%J-YoUtG+-kn8I1>}%Iv&sy z&H5FwQ8(D!vs}iOkBf~TuYt+;oY@u086vOzO3}4r*@-}e**B?XmV@vuU@0H`-08Px z{fHfF%xxV0m^k~qt}-$g%;H-IY2}nB-6d6awOSh~-52x!d`0XFH9SG{Cr$oOOc(Wp z7mo!=stWvwC-uqZyee2=*pdim4E0#a@y6cL-s$>MNT2(tsCaxk78f9CkQc`;xiy=` zYBegYMbt4{qZL9G86^!C>b&3KVg_1au-TU`x zX31vv2a~*mDo-~UNi0jj{1Nzt@0i2X;@SY#QlP`+VMHz*1`zlx{jsk!(x9D3`YJL- z5N%a8qH(+^6^Wye_(6QclMY!;w-PP`HP~jTs0_K^ z;(*?%vsg(ykC11j^4~xyHa^KUeA%ku#^dHuZz(#7*Hq7|DqsLKQBaFCi1@j|Zn&E1 zST2c}y5s!&o|l1T_5>;WQnipV%jWx|3o#D((k^CLio4jqIWG)UTy(~>yB3iIY{SBKU)^o-St$! z@|-^ms>nUbAg6NtadNOMfi%WgTDS#LLjcmJ=qf|)?_yY0-j1I;@*!KBG@;x$zAm?6 zP$Zr1@?4&yJ=Oqe7=vtNA$C6@JsL8e8dC4|(rn_DtI?(8whb7?W0_7(RYKJ`xYux#VF=NI+$} zzYv;VYHhql`|g!$F#zzti?9N|H$wSPz-Ga8dBGy2klfVr<}FEL)D%y*gvtv5@;&Ee z^&ZpG&l(Vx{ECQp*H|IlK&LVFPdW!w6UDZST;deGk_IuQsTTl|OWT7&OOWr3A64rdvVA>Y}}a|UVv$%jSasZZ@-e-Fci1}IgM^`5@SPnySX5k z?C!d;?B7CF4Ujn=eKR%J~t@YL%JfU@ zA0G{iSLjOJU<9A;Ub!dcUPBv+RjusFNvifZLFWt))4#pH4t5_JMa_yX%vsM`vc7@a zQ;s;Ys@E?-O_A(V1k@M6`8wUVK*dSYcjP@?wyq7H;?z`FPW8_7a=;SX9}s1L(az5+ zbG0S<#*JfL)XBv1K%{dNSR0QzAXSh-5qYvHB{Rfihk{AU-8=UOC~N1+G~&3@)<-wg zNl){zNowoHo{?uqJpN4tqOYPwr;Biu(hAl)&Bx?6_Y1ywKtu`YNl^`wbLkse*OxxM zFFEXPQxnr&B<$d;Y+}XxN558r(NKH@Q22V4>uUMPo)3bbppjo*doTFt7msR8?tJP{ z1kgoXXnVP#-H#}*6eHXWT$jO?|iTHg`j_53{s#lZ>sIEi_X zm%TqD6-NfP*)1ToEf&BmOp!G~v&zGX=I96YV?{;8r(OY2!i@Zv>ct8GHOS^JL#TJh zJ59r6kXMkke~!+-hjh)zYqV)rPZzbZ3tuUxnMcl+NVo=s|C!Jf;Vx zbxbI>`PNIp3f=u#*8zZ4W4!9zlci3V!fIotD~~YV9+Ls-c_P1cCj@1eyGE%@ERTBD zOLBr!VZJ*fpR}Wt6&1fOQNcsOZp3ua4KLo}g8(U+zow|Ao2S6fW#U0|;Pj(8225UT z10hLM0#F5JmPi3<2e`_!vX9NJ+qXQ7lhHFDVaY>@lY;*tqe$_n!4tCn|i4WqtBP+}ubz0w<-#1fEWfWd+;L68st?3Y#x z;f~T?1HE@KGJ$?9tbGW9XpU!M7;#`IsDRU6o#k~22QuFu$%{`sfQ8@^z(_zqCPoTV zwzZ>OVgL#N3;NRPmH5AxCV0WCAr=upGN2Y?{^JmV1(8Hi&drC|o%i!Z*Bh+~YMusLu0a{AK)rOd0qE>nQQz zGa_(#A(}vd|0CJSeRTwZP_WxTDw%wyRN2FrwUAuzrP6!D#(G*^L&<) z`bE*Q;&bZ$Y5?C1lUrmrx_$Bd#4WVqn89jVkI{CCD~>CTCH3EHtHwkXfdc%0S58$A zG$z*nT`_USP>}y#{R35?|M!6{P0)XD2Rk@0f&P0t7C%3}-~aAUBS8`S-~Eb_aQ}Nf zn6B^t|9Z&(7ZyiNj1T3+%NVXflaw-E^^6g*-mdmS(}HhJVnN=Qk$xvuv(_m>Ji z+7&lOVM!B?YSm-eq{|5n|JV+ZX=k|WG{MgPj0|J**J=qf0T*n@@HX@qwR+gB!dYaD z+YYd@dp?PZTH%LeOY2%5*R}2y*BDH-AKm6uBioIVS9(!B#e}M|RNy~?BOox*kGv~q zH(OuK8ZAc9+6*aHS%Hb0yQf^*&$sEA#7=zK=%QNRd$bmEeEk6_slCJ`!(*}kGj3L^ zW$(6Yt6cLaI9Gqfkw~k#c1qXR$VF! zWJh$cCaO zh_)*pVpIl`As-lQVTbhYEoQ~Q@H=kZ&L!$b4u2J}{<<8x%^8_Xe_KCQ)r*%~>pP?L zpo%6UG6s`g?mMq-T#dJlc8P_L#b7D~27jphzi7Bc@lyupN%wSN=mrTL)8M3)!SMIF z*_REXqkr}x@-%Dt5oB|YpTm7$b1_(!R)e{fS+k#<2TC&+zgVjHG(RmT>&{E5hhC?8|{|nY6 z5FHlThX;cENO37C#o$yioVT?Zub-Y=4r!(evCrNkDg9D1WedxI;_j#Vf-qQJi*vEC_(=fUd%JS%WpSlzmWBPU_dVznp#7gr?;ds@ z`I4GGzIhCKD5oDJEn3m6{odcWlBfxj!(F6c^w)c5>bFN#re{ke{me=}r7F<2OPeRs z1N&tRSsf&oi%>-dMeB*;}>$xRpTuX8V9_Z)57L^PiV_&j=`#L z?%E!dCKG-!)i^9w+`t-EBayoq9;P&ww-)2d{9y>(`_T_TKI*~*t_~(Sy~u*c z$ttQgOa=la6YEa_T4k{U_*gNLMsHJu{6oC5VC@)ow)0=TW)NkX|G!A!K$~BPZg_a` zvVj3|s~=>eIualvCZnL{lG||N8i!RvmN@I0`b33AMx`KIBnO}L#tLttF^^W%&SNQ zMua5{^&%~|WrB+g$J6}sw_eR2fq(XpO_UR>{5w&xF|c$v=SaT-4jL~Z=;Tb$c)CdK ze}?U`3v#OBn{Iv2dJhhj=^xs5U9E1jYWmTT2Hs=SQ2`O{ZJHlGMWlxnSE>D<<(cbk zfVW7S!!HD-lebnwQn|$uQyUVhKc&Zyn@ePAZ;PEHfM{hwGPtCsde*gq)`>zP{o?<{ElNGp({SbGEUJB3>;U8;6|q z2~_@vK~svr{3*%6{$K)2e|2Fg?C@T+i?O7M5)qoLMz6DK`8N9gNu!UA8(6@fa1;)5 zIrKSKM_--(PE&a;=yWSYB?w?gRIQLPv!uNbY)Znwj>W$Wr2tkFMx{i(-|NLn$=mzu zc=iuqr(y3=5FMDMU1!73t{lkAlBJ}s5OqpFq4yb88Jr4=%1ZPvy1Dm!aJzj*P&`>= zab_ZtoMq8#uf=&KP9->%kvJo-d`&0ME-cYF&;%eEmwf!6R!R(4TDZNjl^Gfpz}G@U zfD!WTB41QGPm{tTT)n!Dgu#J@Mzb1Qxc)RmJT5Q1w@r{Hp0h z5(J2VND+Y@w8&Lcr){%PzJeqp^%)`sxFIbW5VS*#51KH@Sr-?!nh9ys>YY)3bUM%5IAu@0ez4@0h=zp?>P}rzuwL`(+0!E;fVW8$1%pY;JojwUDTc?+bw( zy=@m?coK70E5=~7z@dN0C&jfelEw#1@XS6Gy5CVdd9s&KNJV26H&s<>w5h-ToQAQMT^cgJ5!pUK z2#HGn_V;CUn>3(x6WXM*{dY#__I#@7B4F*1{#KxXitS%Wdc|&_Q)(}5LQvTW`N?cW zGk@C)wgfrN)uc#U+(5-@8F#^S%Px`7zku2o@VxKXZr}Oywon>!fWdt;PHjjpos@Yj ze?iJ%>sY8BQ&|=577*4rR_r&&Tc@rAf;O5DtGgGGhI;)hQY=TW^|>YZvNy!hRrVXC z4*)Ek0FtR3m?H&s@QbNDDGZCxhoa`c#FIG>qOI<-ex3$@@>239mZt*@SUJgFrs)x( zP5i|hm8GOM#qRTsn&XY&*)+wJ(&&t2U)%>!#8f$)^xgsE^ovSDWw=xay#bJzXTWv2 zI%x7uv#&~tSu*J1DB3+IjF{v<#0n%*8x<&Zgr-wMQkFQzTuPA7Fmx&2&~D!@!Mn)D zM=)3d0YwZ$tL*FyEru=O%A^wA0>>bR0ttvXC}LY{QYzg&jy-!8W&XW_(BX+JK?<~< zPeE5w*ojOql?n&%VsT)h*uz_cG0<&7+B~T|u1=yonY$*`-^L~UFD>Y@>NLIBjrkFM zNyl_-zjQ8@JP2(uQI7PJD*iO8lhbs2Uy1LL5u4^XU9Wta<<;~`S?}?m0Odh}tXfzq z_GcQmdpG$v7}Y9a>AMEmPZ7sWXJj}{wwf!lt2b-1(41UkwMG>)y;(*_PAkvW-zsW-vHZ!Gd zuYF58lp!kHX(A;>wTo&T9;;jl1Fqp_2Z+rV} zqAegH<@sak(9WZqs|MXn%Z+eo9Gdf`JRy-Sd9ck32dSZl-=qbxl_)C2GK-zVJ9Ch+z&JmrV0bREj zkvh*C4oVzKwU5ZLY}lr#qFCDc>8F{G(ZXVGPtWFSn8vKD1Sag>_3Zgeq@}gn=3{Pr zB2eoocO9#_y*IYgCk~QmpIVczsdecbUDfV1sna5>k_>+}^k z8cHAE*x!!avBU!%z5!{r@DV}DFi3xl9R>v$;j_aIF1{>jPvUg?T+Kf}8!JZp_3qQW zNbUl_FRPYMv#t+B4I)o{H|0k#ls#x)Q%=6B+QDkiI-w6`IoQV-o?k82Ykw6ciUFWP zYr8<6ba7>;CE)@~K4TAEOs#_LWF1c}9F5sXghiVV)JlfRcC zF!-R4P)y1tYnC|r@2ibl|7kk|gMsR>_`^d|tCNL>?WL)d&-&KXdrEHO7uc%u2eR+F zOBe+1bPozYG~?^=T3Ge9@jP8E1z2~_hUq)#tCZa77G}@`?$Ya}2x|{tnyK!@ka)uGs2?U{rrwm9MHj3D$ z!tt`@62mf#hAFYrH{WjNrJrX-h1wOLZsLIHH8);th_UCCQDHRn>BRi1wV#^}S4Ov( zB#c)s4z7y|oVS+QpU3XUb6}FwL7XQTwSpU4o)0*fcn#60_ITukINwcXz?XV&(zy`A zI`gcGnKavozDH`|b1p^=9ZVFO77oZISo7#1?CwLa+s?R^*$BQL#ZCaMM$-|WcFjv% zuzWi$Sal_Y%osLy);dmL1`{Rm+lIjkp|wsivALiV1LoHX7P8CMZ3q5|84=N)XQ9xi zt|rW5cajPw0+mGyqf^1j%Jqm-ah4>}7bBo541~+FmnxawR2?eJ7b20 zeZ^&A(GfiE7c%*4^DXD@9uc#47KEw~Le6Z3He=Q8ioK@=`6-%7OU|MWT|0Shv|5!| z*Obp*!F@oBQHc%Uts<`6Qk&1t5Dnjg%t(Q=cYp?!xszh{2h8)mYK#9t4@ zjXR5!jaiU=|j>UoY0UWst(RCMg*fgwikJ zQlaK~Kf~ttj#vW!n)#k*|Ax1__Pydd+^^m>csSyZ@*0+_|3{8$;i!RTlbTWq-C(9f zMK#Yg=2A39Fvugid{IKTy^$l+JLB8A@<>xu#-am& z_40WZNERwZrpG|Cz!H89DqL~hv#4)uG?2b=bUA#3YqUK2zT`SpdD&b4J}~_Py%m51y*DiW?Ug+%PdYw~Kgel@9p4?>K!D$wEr#a-pB78AbH%u!b(moP3e zlp!UDmyH_p2-)hTLJI7qcPdaA*MYsC!WZbUi-|?Lrtu|C_pP&_?HUMU0%CogKX> zIpNU4Z^H^3t79n>yQWX65|m=0W{gwG(&U;Y0vy<3G8>`9)DW8oir z$JNjv7Cjt;sZu|gT%Ur+NY@4gm-d#!)$@xm98Jt8o}1Q7M*z(A=>zRsE(uqL-^v~* z&z+=;Z^#Fxhu# zqfTx6gB(FHtx^mhDb|M`Njw^W`k?K(^ADalMB{6I7G;}$1Q|hpRJPk-`k4&-+TN~m zZ04|Jy_La}-8>O^sP40;Qr_E{&zNy1f_9ybIHnVldbsBBrx_)Vjqbf?zlfLy3vSoK zomHu>2SIgC3D84jax&ubdgiZo%R_~y8v4eGi%gcLuyvGXXw8nj1pB~#)bb%$&sJ; zs9qH|A)FVVRjK;Wejfuz8jD~wT~g^I9BcwPwuVV(PY?e$v~)(H06ewT;H1K1uKTEq zM1!8-3c2`$L5o_CG~reRhHNB{a8`Wg)vLKoDzJycNTmuD?~fM;{BSr8c~;3{RZ5@l zPs!iyyo^pm=3;+gaAsD+5& z4y<0&)_t2Pg zQ)Sw*!SC-H#(Fw*ejP^sg&`#P!kM^{aJ5?8XRF~!`5-yM^IF3gL&WeU4*22>g^@yE zsoo`{z~NXRvu^~X6GY!nhzdw!(Yt&Tl9%V!OtB_0x3c*waZLE$@b`LX4rG)3S+KRP z7#}$Zq=I{XlcBA7KM`f)GjcR+%|qq7>N%DLokQQAmlkn_#wxf)&Lbst&0SmX^T4Z_ zGKZS0(w==Q8I$(RYwY6pL#y6a?Fq`y;FR|2#(aH!pNH041VtP(y5XL2?8Zh~DGI+N z@!n_u)G=X&6=(UE=uW_s*_wWkQmJbHX_w zIS|2HzhyYi=;TJ719M58_bq|k1Kco$&4~VfWhL5ntrQv)It`C2UE#%M=Mvu#^oA_^ zegz8QlB_UW(1LSV)%2QiY^}|^@+kOoI!*5u3LfjD|2hsmOlk{-)Hq*xbWRVO4n2^d z0nJ}nxJThX$*X2aRri{>(o4mW z%;4ur#<*y9Ze1gh{WxtZPlOEo_#DrH_Xis1>u>dn&sZ+F<tX1a`ZO;AAl>%C+ zSR@95n6A@^Y=n8<3%|wTfPB=ZC!)vEk2*`E0Q66{m+|yr!GU*Sw7O!Xg42 z>~?J3+r-e8+FdGkSC|3|y|>mW`{8wKEzdsY)^%%o>3FXr{Pmd(-=as6Ap!N zj@*V9^wRS1wG(!MN93Z<@?2buD)za^KU(4AmzA^f94J*aY@OmN5#q2S#HLhlFsMh=Ho}qE>G-->Q7%aw0+#4yef- zCi)i5sQ!HmrR$7^@tM%cM<4%PwLvytEoLptk&Odp3M2WWcV75iKs$@lFwTHSdyPsE zMc+1MxJ|bNy>F|&!DWzBPazD_dAtCM*W=lE(Dij1_!C|4l|NMlF-PV9Z$~#Rc#)tW z0>-Z-$NlpoyLsM)ol*@#~E@GtJIT31`0_CZE#jQNkc*1eIP)reZW z9@Ss*^G&iUT#*#@Tf-p5Dw=UbLYB8=XgTy7-7B~2?{)l}WTGDG*oNfq86>(S^CNi< zc38Batt7w;S^_cgNBfw4y#*D%NPXxf6r4IC^!?dq$x-=?)%lUqQe36{CgWIqQMmz7#oWpdjC~`(gXfWiL-&|yMP`7 zzhe*YXL=>#S^8fgsOa1miH7=z>w-wbW%#fU7$a-HixHqDb7i=3K=lnxM(3)1BzbB4 zF#)Cbg_vu%_iBAw&Aw+!h~D>^G{f9qOgIRk{k`%d*~KtnOEn*b{C3~u2wdRjLhIIV zw?5AJqL3W(OOe&3{Qy3U*}}$5`Mq}>-w@G`Bs{eV{3VanrXJEL5R)^{ckkBr6zkug zbQxR++DgIiD5hJ_l8kIzRXtbU#EY@K8#4}*IcTi7fVhE)2sA-C_WQltAI(eWFf>d# zYiND%lty~<=B!Cr?qI$Y?oo!dXM6EV^+uiS%nMYr`aQ7Lp!rH@cgE7pU49qQ8*N3< z&>-~iDC_4Z506;f`Ds~DrTWDSoirjJWP(GUGrbu~i!b&-XzZb}Bo!g;=Cj zQc0f@436#Gz)L;v({(*F`i3L4WXh+K=Wlj*P$=To&V&*)uKC^Z*XL_*-#prnm(dh% zs)+vjPvz9!f^i$2I!s|gfsj#J4s9k=x7YU5%ANeSM4oq8UKWNC)dObDE)Slku4bS;x!H-rP_^H09*sVc_sQK8%_6hqJMwkA11r+nQ?=TUuFTeOm1jM9cD}y&{XeDkDa`qYnDJUsEm$n z81jo!+@|tg{$^r5$MMZu2{{!ubJr&fCWy|EXP=$*J(`Hm3ZM5AJ(D*cTNj@Fr3Muf z2Z`7#?QrqeTtSopvMU>D$ftKpZRRIVC?Wzr$n9|iemR?*(XJ=(6R{6UeU_&+Im>() zL~qio{tkLvWTsC_y@SSod{RHRs}(}vhXs|GhP08QOqxHzC*g*Nl_!+jfNj_+~@>Lpflk>>EL;q zQBCE4HB^?wp#$ub$}}%DE@^y74OszMp&h@6tund6Z{h(q?-^8uOm4}8cUopIWUBrul}U3@e9BA11FvS}e#G}iSK0zuOj*mMeR@+m8U=oj9j}C^ zjmen_5C|DU^$+L@X(LVsEX(Q6h5z$JCSmv$ag_A3w0@JlZ+;rATI~0TsJIY4xUKo; z#`A9Nu5heh+o1B!(5Kf?xkO!Q*>`0{-&p(RQ~&m}eo|OdW>)DO8t^$XcU@Oka<3LA z&=$`zvN-P(+@_Sn3{SJ?87~C6$X`7^yG|J2B2_Qpjc<>cY|wuNl?@LkvwI4d#r(uU z8W@CPO5%gV8jss-`iV1nh&IN1(&Je2fP#y%3xS}scJ2FnF@24pbru4NX*&{+kiRnL z1e|mjsODr_!G95cWu{MvdKte$Ig{SGTqQ|BT@WFqbyr7wE1g~bKt9sRgM=DExFj1< zn{e5hLVqoQUiUO|zU)$wNnBXrUxYvU&w@@aS7IzlhKYr#Q!zkCBrUARs3RuICn#lo z8-l{MadiR;RPe>KukP!!$OcNsmrBr9_xIJJ?wmVCPyikF-Qz!ldM^Y&V_ZLZht-a{ z>*>s4IS%m()~<3%a^vj+jU$2$!f%pD{(kj6i)Sl8ZrPZxL>8KK#|#zQ|9xVVWzTYI z_7=*E1ZbfM3o&zLk4ZV-$be6kpPyk{Jh8=P*Q?I)Ku7E%@QIpp1Hk43e}n&F6-pI75^TR z{6wpjDu}tU{trh4nCxB^>}Jbom}r1eXR3W$He9yh5A6ImO0yR_8s`$_thc9C>ho;6 zgi}4LM+@E}1{{@l_-0zW$)85(vBjE{GNPtkxy36RYtcKhCA?dMy5H;g^|;}x*s@+N z6o4euA+7U`M(5|royN(bUl2mHvUKb!h0}X$c>U)aaoX2Q#PvEHI6dyOlxp{2V=G!N zqS~n{cto-fMa7~&N0k&wJkC|84Hyu@NygXWc!V!TH-eK1nz5I{Q>*WZ!Y`=M%os=DjfRiJZ_9;QdC@ zLOgH?A4r2Ba;ks&+5!>XloJ9H24oQZLE@N|wCYif#IkvjrW&L+y7ccEWMs8xadZJ? zoJ!&&zMi%>PO65>+IFes-odNiPC=r|@a@`&iiyybuvWT}SXWtB?gGLaT?PakB__}~ zq{x(1auGKjn>t3OBSyD~`JOVi%QvbK#W%{Is!7Jn=Iem82@UUjjVa6Y=D|Hq?k^Q) z@`q>Tfs9hkw~i=qjfBEc5XFc%LWcVQEy*Y!`;5x$a*1T#BT}iBrGG^f31eIYd;DL0@)OUz>Oil75@0id%N%S7tfI-c3H;`!QSyjk{3%|ovyl~wA^n$F zK*5l+p@oD$T02+6oWYoL@eqWiD{4FLMIvn6wDV;51GySUBSK3C1ku01URmCa3Z_M| zBrbLHRASpHuqK^;^AwVF`Y?J%7V(oGQFcJ(P`nBB()dxoLw};eCL#-t*6<1Y6Z=t_ zeoOQ6K?kujX~^21!{InIh|dWHQ5H)w)fYCB@LL2g~zy^#xmW&Hdl_vT;Xt&O7Uef1Oym6_bRR zCyp?O6GG&ccva8cSPICG)hfdbaRY3&IhIX&=0ea5^6|gOU3t2buVHsNR zpy$fgeD!#Mn9Twm;LcU;aMlyJJX{Z1=3Ic(u{RX?*%EPv6xOxWgTnt90(f*%yo;9kROlfh$VrCU#0=(=CJ6yVs%E=gEhxbsWnDJ52n_nICdVB(tCKQc> zZ%^&EHdmwmwE*_h8`pleU+*}26CZ@4u?oilR=hnPu3|kP;H6&AP-f*Tze}ck`yciBT!+_20N6PI4YSk zav%VlzZr*p;Rd=3ZXy+}4;e?|dCS;a{U@)O8B8ChnHCG3@XtL-BEMpwJ1BsFqD_1vg&_OK-fo%3bg3QxH&b^(z8<{0B!I6A+wOPn{kT zV~2P;!$FYAy*8X4{IRQdm739-fW-tESRQ>=h)8E}{)v=-qKEc9;~tO4v_=xs&%4P1 zGw#ktN+B{)U?KVJ>a6q7w+*dNL?mpafaNae(V*)vmDJ%iGdS2IUcUkQHCjwZ*pAe) zj1eSeI+n#y2%n_JVsrvc2A1H$0-!b5$ne*CkgVv}z?5SGcEOpSlLXUy*c@2odyM~) zMgO8;U^(iwA{IEmN5`osJ?y?oTLuzfi>#i;7cY3y+P-WRr<_^bpB5-}6qW~fbCrVM zdlkA{_|<^k!d1uVYHw}Vwz5mp+K&Q!$_M&XUyT$UW%pcvIEoykw;%S3Kxs68fi|^V z()HsHayP4{-#nBEPesGR3WZ8zOv*8_C9qAGKIf}#KXZLEq__kmmhu$Er1ZDIwqz3p zgayZj&bJ3^3x8q0mVC;r{cQaBW0i{Opis$a4Ib@uC&EEz(G$ipfRO@}At36Mi<9Ah z+ivv}879ZLPqrfhl0oWQjm;l=R&-{_+aTojD6sIWX?z}!O8j?Baf%CR%!^3!F|h!3 z#ot+*DOeYZiPc?pS13y@L1lHqr@2|I@w>!Y$4WCJe+E5<+ zhwe?6IX8U+zZY?Sb`1Ig3#1=2O^sh)S*J&7=)&mgJ;|=zn=T$NZFW%)2-Oup2L5R82n}iZ(L2$vKR%`8)!2GYsE-b?O zcgMq`l{d!g$V%Rt3EKY^LqymS8WbI!0i|RcC9B6N%8!HKFlx9d&kPd7l_n7-4|cX4 zBD-wH>B#A(;cL1=B}@ArqWZamnv=pvntrByl^QUzSVTZS3EQF<@_K*oyZMq&3;9N2 zS4ZCZ5@6fa=W5LxyHb6Lqr+V9AGxA8#dO{oZd*VX3YxWJ(o z^txS=K$-bAB&UB5NqkhM@jz3v?P2#cx2O{H+Vv0{ckkl3xeu*=hp@YDV3>u~b5`$oTtj@u&`7avb(J#HbBFFdPP-m?Tc$*(Q2>d6hHmQ^lj%{u4rmPK@eF87%5P^Q@rR2PU7tvp7xHP zz($J#j>aGX^eYUv=^~bB16IPU?s%zE`|sVl`R4%*HPg6Hnf?@6`!@mX$Conp{J8iD zHkmZ(mC3_)@%o=UTF^sWP9(EzM8}!h_z!%=?jv>)3 zf%lDs75A%K3Urh%1en}6th2NC60k>q5b&=wm;zDRxiRN#6M7Hrp|Ekacu8olJO!b* z1z48dKV&`9W-^>SqB0_gUC)V*L)4!J<6EtN{we?zLlE64T%>Frv<8Jvxjw* zzHV{`Vs)zFnsKY-L-s5_rRVbd>L6M z!Ah^m7k&><4{G`Uz_6lwJN&$cv zGe*kmxp{2rz-W>-3_O&Rx?IhqAm4o`x)@yKoDG~e=?J%N^}8w^Vn22qkEJesT+zCt zbr%zz{8@kcU^LiPN;WByDdqW55ZC|Mfi+(x;^CK8DE2r3^Qe5t{OHXsc z))vxFcpv!C&Y)$pFhz+R_zBtf_apNsrJw;>v&nDhV}@Uec&&1(w%-xkV15$QTOlht z&4`-0F#>8biZHMX`EB=->3r-~iik07!DzC@tVmK`fx!n$jURoA7a1hM@u^J2W%9;*&Y%iIE8-AdIMf|+g=v}IUU4&i7?<9`( z?QJS&E)ThlKPJ>HAA$6ZUhNC$ezEuo2x?JYPF7zC3sEk{C+2=i55{5=56D<#RxKv; z#roji1K!;gWufe-x;yMh>Kj_0$`?9f$em6$! zd_3m)*c$|or${ms!-g0044iG4PnQ`N$>GTfJu&)#B<~PzSgXm-Xu+d8F_{a4s0Hb6h`U!{tW8vQ>r{xIp zOJuFFzvRpbNf-2nNAR%+h3RpFvR;PRom^cEk9R)39S{IJ=zS@{3ua`VQyE{K`UOAm}WPl5y`9zi0B}&O~0l1U`OY`KQu`vF@Yb>l=gAflndQ z#i0{H;8;+SU(E6+{VO4nxzm6Z5k}xJlncp4cYH%CfXcU&!yLol!$d(@Y`>LV{wQ?5 z?a;`nYnvBJpN|i=`lF@&3vbd{c-x~WTgro3sFPD&_Fp}#OOF%^Nh{q{T$O#K{%wcm zn`Pd$m^J7YeGFW7Fvp7q{6@iOyZ}**?%O)*YMSu*(>|m2DW?0I*Bb0Q7Au#yH}i~l zp?XUeQWHDDr$&{1VN~4R&29aSzCH=AsaaW?BV8lFNRYDZ;4O=oO09qk#X~Yd-VJ7UxdQTODtTH zpYBK~A~MoDn-AnK__ zhTHj~HkP1w@bKZuN&`&L7dWBMyU{4fHN4lS>cz_RRaXtB{m*J-Q^MtykZ(ob5H& zzHXGjyy|(p2$7{(1gIWm3K!z47l}>>T4}I+#7hApBBd_B1L>y_%Pi~h_USz+;|55S zZ!OSX>9nlPX)Hk2T~61GPlmP18radwRgKz5flop*Eg$X8e7)7Dc)8Zh^KwOcd3k+7 z)XP}8d5Q0he=|FbDDitSm=ubDiHWw^@gGqxqLbdk-*8-7pG96aA78`%t~@E}v^v?x zV@I);l@0SX`;s%*YRHiW(Nc^6x=xRu&1swUb~&)YA}|tWfg1_7--$2j43LAcS07$n zvv~I?waUiKb!=W*Zcc>hnJrU!5(ePZ@e-1`%}$cP0WQ(!RNIWq%U~4~BZTn+HKHEx zh7B|VO7DaOv`*TW>7Z{vre^FxVEsGmz&cwap~ ztmWl!ZCvEL;lIyGJ0c>4AhH~glP<07Vs0nz2(QA}d0uwvZMMW(k$WBh;F%m*dJ(n2 zP22Q9)mc%yW^I)a(VHiD-*b%B+K;dLU(A1{vtiIIe$1Y*f?xRgT?8IhF!46zXJl~ZX}4hUOy45HudHlOQg@Lq zJ=vBP;d<9re9I1-tWPW1y(wv(NNS*iBkR8TsPL=Kbk+Hh5v;@O2wxT z0;~Q}km7RCSOi#NF~vN#Hq@kC9m?B1U;RHrh#lo63H>Ku{hA8Ur)pf}(#Cv#oz8#- z3s4OypL;UIeEDDY1!AcFk9vQg4^kl$YZT1Vb)uSHe~ZJIp=3o}~vmu7}; zUA9DCyu@RuN5SKdqh2e_a~?aJaHJY=he<9l%M4aak!qAD>IRn%yF|UuFOs<)Zejw( zEWgzNS9wx>$pw!SvwE@%jkG{T88&~p)43|D44mNPl3?h8E~bjcu{dggbI+PDC}Zs; zevNa4hN6TzJJtlNa6BHi>IKdFet#4p#RvBtXzXst#~?Z5)hahKvN=CUa3$439S2kZ zdK4noeXoZjf3`f8Y_y8)l}pl3|%7oG!xDQuM9DjfMNeA zGXxF}p32;`^6e~*oP-ZcM&%y4*a-(;YEOO@adx%w`bumde+SMk#t`PbC9W=CSbjLX zS>jSXTE9u$xK|lsIkO1J&oO}p)2Niq`CT@yIv^T{a8MpL)V^l62x1f+G+&Coh`6>L z3DWzcfEg&V>KRWSvAKVFD^1dVy5%`m5KP~zN^4vX`!S+TVKRlXpBL;IXm0Y8sz0 zQu047z`W=R4XZGDcv8yxqzs2kXFBHv4O1yyRW*X6>GVBuPq0S5-#5iVJ!k5xNvmZca{`^Wdzqit-0L6U@ug2I9E=UaCNUf62Rn(~QHc!1PI~ zRnJ(Q+(?Imek6|@bhD-I&_B#Ad&;VyMx>Nn*2X^%{IBa;ef5+{gVOu^6@2>XpCTrS zUE4y~Hp`q#WeSGUI^t6}Ya)RuNa!RDSZ_2G`gBH;F4EJ}e^YLgJ0TQJbl#_fqGx&E zZNTQzbo?)s(`gR}7jJYY0pkXnkUu_#%Cq|QvW<&>L}lCHs@`59oxNJp;dr4jLQ)%j zqegIFv_{l*xw`)2$&1O~MfaCk-%fjZaTQ#a5_gjV)3fl^*T#>n8Ikyz(e#3K$is3_ zd$cBzt$Y6tj@*+u_opP=ZciUsU!Kk=n}wX~br?o{-LO2*UMB?-F-gCT-jE(WIU#VH zatBHU*`3~!QPZ<&9%@QJSY&M3*eotSgN{bJK=A~L)#p*HDoJ{wBSlnRno1cj(-`cj zL%avSwGoj~spu;W$2VH-y$6=f16^y^a}L zGFZ8-2}Zf}UoTE1Mi5t}JLGB{tbR<-$=x#`?296!r2Nn-h%}xu;KoTA_>E;Zjm}hx zK`-OlH|)wIh@9m;nDx>zA`WSseIzg4Xjy+&CBd>Qy_oK{1g!Vk#i-SXE#ZW-_|ixa z`CHSfgof5KUSH0t%t zbIPYMSU{Wf#RrPi!@F>KKCi6g`wtPLPV>l8`JT_m_O-)!-;AH~J`fdPODrK1LQw~f zDGd3sTQ8lg79E=i(9dKO(O9Mr&VMb{t&OcVQ?w$Lc48OU79j6J-gAB^IF>*hmypRU z81*O8t=-nXNWB6EB-An-#@ZJkq5>7;ai^N_*<+ zG<@uSXJ?4OPEt1h$yt)%ITn$c(?sFlwPasB2p3Uo6X+dHudr`CvAVq>wf3+_knq{sOjM&<;c{o$}4UuLo6H&ss`7%qe@bAwY+!hJz5mzep=q)#zkzQwmxI>m z5sRZ|D!Db0bd7#5<1qD)8sYO*F2vKO(}B`K_M>VTmZTpM$Ai+B{>1a0;^iqQ6XF+N zAPX0_P7$=Ij3yIq5_0iZmBYuL~+6-5nxI_t5!@w4`)*cMRR# zh=6nrNDSQ#($d}C-96Oz_*?7yd)BP=+&Xukz4tjcN<>j)@MRLQxPX~puscCGabqdoIrbgFZeTTzo zVDi|O`Y9RvzrT>uv9c6&>?qSj!zmKYD{Rb-?N-_yeGKh!8&=zcRE=^_Gy-9dYe-G; zr*fcu5$n~NzLcUv_-s`$7P;&!91bLkj-Cm^#-o2kv`JDG@wL)xhTF=S&eikAe(6A9 zhHGY9XQ1!IwZXDO6q%|yxwN)BTF&OF36CVd|D-iX334i}s_JULHY&i{K6;2LTu@L? z;@@*2%`10X(%+=Y6EBTT6hl)6ncZ_}@z@Y~8E(QSq+igM?n|@LdpfzAKe;Jy^9R4e>d)IKj5_%MR@~@^Z z5z}m{cQw~ZJiKi%GMWbBhQrX*7t&K{f~+Ob)Ftp+6>oxcYaqXtfM_5tO}F1(Y=HX3cQ zy_l>0*L*dp!iCOlYo@@m@O9aXq!*M^xW3+?v_5HPLJS@74G1;*%#ZdyBu8PIkxJeNQW6&@8eq3DM)H_8Tt4chb(ktm0VQtz^meDw6d99qj9b| zLp6G~&hMr22VE5E0z{a_9Eequlq-#CFAQ+%mu8)B^CQ&t3BERs9R!@?sfRr&~A zo(<5_{NPuQ6ISnI-oCx|&gP|m@_br^;j$d zs(;m=soPi7esSWv(k9?mwRfdEUvd(RiL%#DOVMXyMJLFYi4psof{Knec-041@0BGm zF&yH|*LI{(L>NOC8K~@tB~&Hi+y0^@i7Sfih+D$rE7MzKfTmAqK-TS5dAd%3*xzTF zA-jx`Fwk>MyIc7(GUi~?(%COJoM`c#MsAjW5&d%<*+3;Wb>)I>ikule8j54sPasHT zE>{{3xO=!)KlXf4nUTBn$HV!#=!U&c9fnbT`zqY4p(>*Ce0+hnO6Qe&_Bx~h$Lsqk z3IFw;NIMj@)Xp;&We2I_g&y(i)PxKKaOT7^YyXw$5Ob(7C>Y5CPu~|Rn$&-Ib^%)tLId*WuNHVb((OqgGXfrOS4Wqg{Xq}%Vm~l=pxng>W$p+q0qtP zGZwqyV7$;6ih+X!TI4hQFH%xPv+;Hj5IT)vf-+-dD$Y*`AE=uBQ@#X+6LS`Im%ABE zwU_i#7G*E_9yoB<)p2Pssm-?6A#%i|;8Rb3>73;dj?fy|L^?aGjMg1s^z#fjuDE1_ z(o9ZYkuCWo?!D~sjFb;3>M8XBYzJdf|Iv8Mb)qNUxB&alh4)vBH{ZGgR=hNy8<0h3WRmz`dze?^`!TV`=f;GQYoR8t)s z{6;@k+9T7gEY}91JrmVy*>U72D}A(KeyB5jm)4dlWXo-4J?9>n$2Nh!!rtI0}-@B}7Ud<(5r}Gcidb;Ai z62j2ckO7li1#f!-AM^K06V(SHShmsx0R*C)>?S%Nl^h=|TTBInO?8b260i*yrE_ z>&pu(k6@u-#{mWnK0;E13$Q1#VnXgB*XJ;wek8VjkTCJQypoP%vzoR5#>)+XS|!Ag zEDrS=6HYLq=Y?kS^7?J-gz2=jHR-U-w%4Z}M)NbdW9^>G{ijQZk94E~+jDbh($SK{ zgJ}QDP9PDExHLa5hk1vCz*q+#yv^7Yo;M%ifKEaZ!{h-g-;t)*;3noek3U~6eI8ms z?JthJ5;ccXHbFp#^pRI)W96AAPHpwvPRkl(FLg1C#|2uOpwr}vH!-9W)8F{*-b4np3W;a%d$cY%zxnuvg{n5}xN(}iQHN#qrQiB#DX(L54pX>)$j>`~UwZ|8 zthlVqa0NP3s&NaC5c0qyccC>=XrHN?RUg8T z_sfdmT$NV_QQ=V3hd3X&@lN5*zHMKYp^H#oO;(6Yt7!H`*da`A@zu z2=x)f#xPrAs~5@oV8tyA6*0v#>2t& z_St3;rqhXhgupk9hH%aP>5@#Y-Bd*dHpI$QBr*Aq1noa9p*;7iV}1@R zTh30^9y@FLq9fyZIa}wnk{ag;A<-l}x4$a*KA9p5Ox-FT(tVVTD7AO_GD;XyiuMrx zNa5Fru9wOk_$G)Qc9fe!gPLE0$djda0_xHU7f8bM55_9P$^IebEo#)FPg{PbD4(Gb zW+@d{Vtabk8%?y@)S%rqn-Sv1Zn$V7Paz_I?GFzW)bYUF8nng1+?kWR#HU|U88LN} z;5!UNBu0s)MK{av{eMbeZvBnSOR*x2lqokLHKxhu^cr1nPK!GP9igK=LqqBFmR0#IA`#}hno$4{L6@5>L+N!eqOM0ewz4{(HN#0)MfSD*4(b_cSB zM!rv_>+ty?B=r8R9OzEvuW85HGQ6=-%|<=d@47~)0kQxph&rV#&D4kj4)9@OH9rf{ z%(pIB*{4(C9S+Gq{r<$|<^5j;+#sf|oyzh1ef)9A<`_??oPyaH=_4EeVZ{kbCA*{E z95MC^nYa>>fZ-csTG?^_NUW8tf4fFEaKNa*UiNMUWqN2T>g@Hf-*&YkY$l<|cje9p zzz|gYlRcKo>_pLItDaa5LnAp#L8lP7;CsV4?NH;;}gz<5;6c=Q158Zq6E{D6tmC0ZBz z5nw2gCw5}eIRhLM?1Z&`*X9Q&`@Oz_F)<29B7t*v1fP#6ad1IJGjkLPKf6*AcjvB- zPNCM&`#nnik9QW&c2+{T-R_6UW1Bk*Pev0nGpaT)Z)$#V!@*ftpFQ37$1C#+FYm9Cj~;U_P<|L&NOAx;>@B{Lh5j$?+59rWii1%b(PjF7sUWaM zRAM}eN@}Aml&m}Uls*G~?QM~PjJjU6(q=FO+1Nh)`xtpp@~Ej*Vv(uYGKkb%gBc2i zKp8MzwP=_QVJ)tfmeZvZyn;vNFUQxl>{he;W^s3zch-};gg`r{h2VXZe}P@p<;~;W z@vf{D$?D7MunuoSHvyfBYTY-qypGgCD9SKRlnt0QxY4*6I{1yUO=6+Q0Pi<#@1M># zTH?6|*7q(W2XoTYKNnhTM0Tx!2U}Po{$=tv)`yjbIVDZrYen^n6VVTYEyS{tc`h5dt+YZL@dksjq(_ z7y}Gq=KnBd54b5q9?HOQadCGm@;~vOyoJIhBpCDWec|cLeFrah5q7 z*0a}VU90bz8W*85ye|`$qFp>3;91#!>5y0$6j~~F!NzT+e9ix+l{xqhqpLuve2EK| zj7oej1y6{X4Y?cde0Pm(J7dlFE4AW40?%4l=gaCY&aligvc5Whsjm;;D{Sr+?ocG% z+RC~zg?azRbHvG2(kvnMpr&Q@D+|?P(7&h`lOg1j#$4}mEloufz+lju8-qr{Nwh^S z*tWY}WqiC+OWH6c_kEB}BHGTk-Q(N#-p(eSt8wdYK$-l6lB&)O&9na4gR^7vs`{*RuTZ;He*3f!y4`0XK=S0=mLIFb5vrU zU13iNix$#-+bA?@)1Dt{nOd59o&6PMU0RkV>py!_NyKF$v@lRuWX%8fj!7OC#V)f ztlnBDR~W4ww((wdVnNwl2Z(l8+s=QDuC)2mhDL^djH#L(4v2YNG8rKY>im1$zgK;F zQ^#AQs$$QhgbQOc?TeP^-yz&K;?_RDy0I@P)Fxa71y*hw$hfNIDj#OQZS1y@&Eh$! ze>|0>T$5C$40| z%xQ2Hb;NF_y`J8%8JGngnmr%xc-sFpD&l*}OLz$)<}%fOvQTVd^89xGNz>r$QOGWq~WDpP?Jn|cr)dng5K1{ zPVUHMb7oRgwgua|6GcMST^o@*AkwdD+_@2ft=$nN%3sdQ0)+{d2%LC<=JV*mO8j+9S=fDXdR7NQFM z9)gzi{+utYJtgj(wJLOmyb*jBO!d4&^SnI17P>uFwn5e(>cu5w_exFmp5ugF z9~FX`fE*o*()KYia^s6P==4IiE(Sf@uWy-;!v{I%={vCmNnADa7-PqQhh0PZUWa>9 zbO4J>xA%O;EmZ=mSdE3t)ZL6(LvGHp3*n$1cKp+E#aNZ&38D=bH;x1?JEsRPG2v)# z+KPcaubQeVlisgg0bJ2=HGrnrpF9S0>pku>v!pRN9N~MarFuAZcHbi*T9B6wU0&aA z_PYsn!fZ*4UFNXOZjE24Pilx9CHWe?C<~x{Un}JBDUR2g!VvD5nhqX>5O3F)BcjwL zhl-#w^Zxa^Qj<0u34-1#3AdQ~zHww zUUr7=2tJ-qX-OVU28xQhUuT8Y#ZH)cN`yN9#}}w%>(0N&Isg95$NK2w@@uA~d)>Xb z6NY~0i4!jOr{J)xrnWc3WrG6AaR+I=Y2e7%jOz@Hrg|*V@X;ZgI-~l4BkdElrnU~N z#kk#Sjw2x#Vw&Z~Dohu)UCF4b6_ay&J2Py=wLZ+)L?XY*tEr2rn-IbI$5p4xhD0Nn zr+P){O_TTj6$Pf>T?E12Q>VROU)o)ALbj&Ax<75rS!!5CoPN|JwrF^IyaGV^7j_3g z==RaeUb%*=fNguP^Q@_a=aj)ixyX3RMBN{4`uMjj@vQ7i1(8Fse4xZbyr9uGbEZ9a z>cfS--xqOHK9*!uzm8Z^L$jN@P1tO=PDxx{cR4G7mz+6L7hw_-l_wk@Uxz^s&aLS6xGJI9iu&=a(xdGxFKU&Y>(?7W!1B%R-WDx?m(@9n0Tf zR9Y58B@*E{aAej{Axi^8;eyF-d;ii)=MsQ6fi?g{o_SeSAY~#ZYn1nn{RwY=G*UGz zjojL5|797X9pCJ(r3bO4+S{LCYul3Bmubipln{}lDD@dowCruD*|OUyrD4?6=@rT? zFW`x9n7^K>+vqf8bsdX}!h$)BM~?|ue;jO`EXlu5=ke}Cb~QWcvnbKu=)|`$p43(5 z7YzHiYJ008caz4CYNHuV;hN?KGJ`_bkj}sU zkBor-Aj}aB0CM-Z6FCnxL>ft-fL^n*Znj3A4v`wXm2e8W$gcR(%uja0{YCTd8GuKtuB!MD4Ll)nrr`t`_w}&kMbWxb8j@`GxdCEXN&KWW#)pEV<6^|n~m}1 zc5&G$&yrp=1hXAhGitJKWNTOgBjM*H2BOAlLYPDD&v|oRY6)&#DfRGjo1T64Xd0)W-hU(%0`p(ywp=nBU2qpV#bkxZkt~LypK4>v@O=L zqOi*&`@d|P+0CR`Ru*0_LF#E_d)y^Gp-2r-IyZ>st?vkJKC?*JOC+&#G2!o)5|6u(hQ%lTq$GUr``Pb$k5eKV4OU$8$xnBm zg4Jdzm!qBCFQymO&8B86Qb1l= zeFr2=X)WPTrWNr!>S0S(A3pRC{G?wz9wfjc8fJYxCzTnJ0bG&p9v*A1*#JogB+4G; z$3sE<vhK)C?a?#X06Ik^vNqkIXl1x>ql1xw2sd{4ig z!7*3JHZ$IlcKI4K@%Hnd>J#gSyP|BsH7Fn$XCVS05#6QwcE z&Wc7{UN~boX z^}$u|(QJi6zgKu$S8}SJvWqDXMej^*s`7r|^p;SzOaC(GvLnBy2l!1tgYG*7G_hGVTxFWunNZY!jxzOs!BF(p2ZMO>A7kAbzmQL2fT3~~VA`d-70Sqt)<6Q?NMBM&D?Kn^tM)W8*;#A6599PDPg0`DkP?C_ zeVowKdzo6BKVKu|dvruhf3+v|dtAwOXjx%C+x@0%kVuc=~Gls?aQC7l30OC80@8Is1IE0l zodp4xYX8hm@BcRRGGM><0P@p;x!s;Dm4Nf@&hqMp2Bfe5u(9Dy`71{Le7<++mMJq{ z8Q-rmX3wyBS~wbHGITHH)-GL>)u?cQVMZRfipRHJdF;2}Jm{xs%A2Z&NJIoL$Fp?wU zPaF#r34(-v{Gn@}r*ET@Zf?hT@&5h!S*3NiD;XFAf|HlhwqDNNCegM3Db~*kMOnA| z^rK8;6n36u!vPo=E)5k`yfAj#LbElgL{Pv0=4#wb-c=mjch#gh5udn0B`W_A90OID zo$P-2H<>OIZcFki?LqLb+Z4fY8VH&BAe+8KctXp(}jbz*o|H72gp?E~Z?DR6M8A&bI=q#hC zir=sj!CVpCpsRf@T$73Y<*f#rTfi)P3puJBsclcNEZaz&?qo-c3FC9w(%0&qxWo3WdeM1Q7m&rG-4%T$_RfmVB137{UB8iE3^21s4mVp<7}Lb;jkiCGVMbGNR4b6uoHU>M zo(r3?rYR^%Qweo-?d&QbPZ-tBa3zut{9$Byv&=AKUV+6?;wuw}I-is-p4}ZLO~x&| zl(Ql`xNaicT#5S`>MPUw=){-zaf?eH>$>wAKoHIWnQum>@oMYxNQU3ypcYV@+rahw=aH@PoS( zx;>xCR#n~kn;WDfB{1gSm?E!?#qW4cw=`>)ThJO>xzBd$vq{BdHZ-Du2T2Ez>OLn+ zexdW>uqEPcoZ%k>4~VmXm9^D&rw;taHoC({oI6MgZz*iXD73NUrUo`lRGpcA>DpAmjS1TVjEae{%))5j zEM6HX8v?hDYFYELM$3VnnSiU!*54gaBT)C;>5~FOb0Ha0z+<>Ah& zS3s#8UrGi62C4Fbh%x5c;{qnvNTTD0Am!7G58CG&gzW2SS-kTQZ9@;{yArE9w*|BD&9$o8Wd$D=2#te9`aalONd{M&?d{3MF4Z|B zEdAofIZ=mDobEw{$TF0(v6zm-bmeTb!h0m$e*YmuFuSKojJy?fdP&E(ox zfPNjhoKCHHv3D+FtLQwZ?SGY<4E|6VI%SZw6BOFrj9P zZ`o{>-8Us);cT6GxtZ|~*AYVW3Md8-6LQl4pV~b36Jqo$dr{O9LOB?&_ijWshr0#2 zVZ`xe0!iBAXXd-d2WQI)Iz(xH&+Fqlow676V^Em(D{pcdls@EXoOzB~a-%vS zqmkUQRHbPNxmGsklu;SmapAI5CO2qU;*z2k+xw{eCwNyrOW3jQ{tEporv4P_w!A4W7L*%|_j^(c($~IoXjNl$rhoH2PAIE!85mf$uab_6m`gqz zDZT^kj@n*kfz<%XB4Z&dR@(Od^?S0l(G)GI$1#$EWr{2?1NQUdCU1P+&ZjmLDiRA^ zv%th9*REU3M}I@*7Sl)v0D@hh!JfK?4oN?O76dfB+H|}kCyXQG>*-Gw_&|fDC^fX$ zSwNm%b$j0b78len_nE16@1#AkL~xj3xgO{GSLjO5GMB5jx3|_xp|rgixLHvaU0;0} zjPaMD|Ev1nzj{@l>LwP&Az(z>9>+f}$O&y5Zj*M!pM{H`T|c(re^vg;*FgW)*tVOl z+n-m&^LGEYAp;eESoy_>go|~MG2+HBgYES0a7B)vn0^cn*iJqyZ$K)`KAqhO2R1FJ z;`S_8z*rOP_?$*C)fY`JxrVwv%q*#@sHrU4PkM8#iBgAajy@bhONguMJ>eweyaHbagHHvFoREI-+D1 zi>v#osp7vX<42PT70md^XK^B2O@u~6p_|UojAY+O!k4WJeKzOC(xpKryS1EoUc}L; zKD#o6Kc`CHj&*~=BPnt$%kvEfWFKBW$p+zN2wA-+JL|?B^HHCY6?GxtcvA%IA-eS; z^7P7L`AuqLDGI*tM^YyY3^bvQ-ClgD%Ar)tnC5y26HPQY1(-AZT7~~`*dwX>&u^d2 zR27W=(^PaK~U&r*V5|;kpWU&R!o!=jF-xb&%OeCh0GL9R}Y6{iXakKW_E+^r(0A!q3{1G zD(|rRKT0th>XTn$u>G zWafLSQ$e>eec6*iOsR^&PIR%n0OpmLMW*_XukG_ad)`= zWlc7DYTyuD!k6s#zTzH+&PDcFHKprmTw7K>&KV7Tr{pBP(eL8f_A*VD03@Pw{qCsV zS3b2Q6fTn%_4LuML}Fsm*7f#yF`(CIr`YoDqIXp;vDxbVv`4kW#1;|S<;`!9$J4@@ zqoD+UVO-`XUyF}Eu-hqq9Js07VWUMddK{Ds+e^aQgn@z4-JKE2O(`_M04={mzJ3W4 zBp7b`c4TpKc!5N*bv=-f(e^`L#pKObGneD(ij1M;2bV{}#Kw|yWx*67PX?bn{(hu+ zo?mwNDG(D87xyi=+av<)MpIA%jY8Au1^kyU%Psq>+J^#mf3Y@0(JZ@b$+ylsgSN%f z$J39(GLB>sFD2cpuI}Y&KFM1s>DS@c$+;RRG2%x?qO^#?ODW-6A@fXsWLeaXN=96p`-VzJ^1f(piK|e!(?0qNi28CBb65LqHwcuf zs_84wjE|F_rxnK}Z21!celG4x%C}!^EM>$gRqoLN;6G9?EDu5uWWTjCjVGQf59XZu zcJwYJ`24;tZdHx)zEg4uWE<<}wupo{5OdIj#p#3+S;Gq~Z0{eILi*>X#AF=$&l6KiwSDX(lT z?9=Cqfy>OspCm881frnf?>l_i^P8(9QDxrqI}^2c=h3bDk~kMp^5c_fe%9zFoz-^P zRmUN9^wO?v2m?QMbn#Ww@~ig#(hkKT?Gl-7>!y4Z!@50GQ98^_J`)_Sq+b)IF$~C{Jitp(M^=7;`4e5P)=~&xRj72K^=B@dn zN>CWPv(CHVKIC~Li=CGj+Hg+-xC#vZwpH;4SryN!8W63UO@N{Rb=CHUgFhHT_YU!$ z+aM5V72VlJ?S;Uuo{JF_^I#NPKup1AqEIutp^SNvqPYFZuxyF&iQs|5d%Ng};;eGX zk@yHz#xp8DXTVXT>-j+apjUy=8!7v1FYoAXp2CQ^tS+WRG|5Ul>)x;J*`y7+k^=WD zX@Ge;LClLv#7W+!^cMJ0gU)g~DD zw>l{Y#1nmkTn^gWS%T@}^~CUHj?!osF!Cc5Uh(4-#%KtZ_UwO^Dyhq>nZ?9a9mNL; z8@fh4dfw%^@h#L4_|zgnOCoV8+lN^x-3b)zE9zr?v|}mwhI7l10NTE@+i0L{5b1S4 zl*?1lo1UKDcrl0SnBP0{kU}C_v#y8lQE{?cOd4S2Du@NlX_OL_i%RLJ*?7^!3%4{F zVb~+6BtPN4x^4)b_T&&%9@*T-VEi6F{*u}{w@DBqiW0gx%I2$sLLC~jetf{$we=Ah z&CVAuTHgT9P}MB5+;WOfRicLm8)SjiLBac@dJ{*mt&KfZU@s9jiu_W+1e^Es>EWKw ze&9yFt<)TEDwgfmetUPyA&E%-6k*CjoewF>W6Fu_%r!cKOJ8aGT<5f8y9XAgZ82Xb_ddD~w+EAs9!wA&`n zZEg0Pbv;Ba+MvYC z7aDiAA~eiM`r5I?{)f72y$DQ}jO1RLk-Mw*;mjtc|L;kem8Lh#0d@Ps=n8UgVz>jl zJ#*+#o+0U{PBdw5pJ~H*lFL4>9R$dOu{SohkrYH$sSr4WCjMS~HQ#mJiiQhB4ee~^ z%}^%jff4*)C=3N1?tJzI-20(9Kd^i+=WBR$bech=>`r(`m^K^fF{dl?ggcL8#-*-T zPmdLBH2e|q)a4=w^5NwMgTusR^R<*qjy(M0Vani1XIbR`CAb~e*PvrhH=Y6#Mv4?A z&_<2=Ts*HJkiODqL>2&3C5;dgf`dl@1xE`=T>BIG@~_{bAoqV)*37CQ{ao%Vl>5}o z!62+Ph>Iz_N`Sp2cKwH_6~iZ%y3tT3w-Tnke`W@g5t>dmZqyEbjm}V z_nP2MBEzrY^vTcm4gx<{%#2TtD8IW1Q;r$17KqgQSDrfvYt?0a9~1TlyS1PAKUDnN>@ZeP_Dj0gEuxFPet2?FJU?9_U;keR9wK9b&&(=F7{r|tpVr6 zH%mQwp*&9xW8b4fU-AVoma^QImzi!>>dI0B$VY7`8Sram1I`5tYJdfhAfB#Fsa-Yt zxDp@LZP#ycNalPJLxbzqtFS)xb*VVI(txRoJy@}CH5~%3mGFLi_uZ`tc8FdIg$84s z4p6W8WK{n&l8KBuz@5>T=wAs`_j{ln6YRxd^*ptXEKXa%E;z2EKc-!g!XZK+m*6h+zGAqTs}xbFPTKcNr$J#1NxOEFO* z2P0gG14h}10f=D9`o3S(#No3dBNh_O0fNY(+c~31Zc)e6flrr6K=K*MAK;mOCh{g; znUCV|*Gd-ZU>a|Fm#y_*nhfpZP?+|hKhkJwS6nkG$+S^V5j-yvdP%6E)d%HW* z!u{sL-}mx8I?%wh=Kz7ikC%{=hk7HyC3FJGL4Mx*GuWNw5Qfcefw@{RRjmm}>ixs( z3u<=ReemTIU>y(PaGN+OBW7skp@)lbRsF6ryrufgq z<#lH-Lohx71r1|=B!iDxe~$X(nqKW>MJgf=^;_AX;#xaXd&z@WoOYG@nw@KwkZh6_ zt;$|+8;AghZ1E*K2@nsIlNR=cymV}pVfQt6E)01{pPYEzFheQOF=wyMWu){}M3~KX z7L&-%l*1Inm_9E}DMovi*0E8$qR}hU)O)#7HRIUZQv%&*u*;0YSs>1SxP-b|U{n0D z3UBhIzifEoV-L+AS=#RSMcki=%kowf4Sj{>{Xlc4E5G-_DlLa;LVKjBd(0+=kK(vI zin^);<`wPT&~K(Gf^uk?9MKD?du|q?U642Rl#2>E6|D5sef0|%4rQjCX^nf5n3cC9 zGl}}pKO`oGn@{h1(8$pK(~)IzWWW5RicDpf451rNV^7y?ml3KKNmWA1yUF z%+(5cd8v%tSM=yVx{7~yr;{I&B`N!drb@n+uVvf^zuVL! z5|xwVB8XDGf&i6D;YTeFG?~?UX62dJzcDX%U0@y(lR&4+)dVCZ2x*0(#=LTW?-k)b z>B=kjPP^GRPjzwTw@*is>8l<0@Md`U2|gDe+3(QoI89e`ICVu1JZ;HO z#D2M=dQn<;T3Aqt4aFGc%wqEgZN%)hwX+lab&-=C(KOU*3S;S%-sF<<`XAYP!ZN;@!LX;d*X(O~tIEoM z9Y1Tj)1!+E)^y){K-pFEN-V zvrY&t)ALwvj^bbu`ETU6DWyZ98ZJDm(vbYd6ny>C+;P>2!D@N>Xx(DdFP^zriZFpK@dHyKK( zgp2gUOxjba^vF9}zRR{A?*o2AQlL8QgrR@V(jMra3l(d_!iBsfmB?{&SP<5dSHsp zhUbUpB^m=mP!NpGc=SZJ5-?rE|CzrW!r%2MR&UsRdhm?SNJq9C6#x@m<4X_XI-0G#M?^K#A3I@M zwPDxZPgqVL(%;TgK1BT@uRuyo6W4lrVXK>XafA71ZasfDjeF*V=1&XoR)cnv6S}}y zGUN`WOLu#FTwi~uiBdQs&i<-p7O06QfHIccTOFxSHyuZlaAXK8Wg4qUnqOohWv^ec z&L*g8`WKE452pg^=Cq5-G0$igzqpb;Zl5&@OjCVamq zYYA0V2ON{~#@SB3nR7c87gToFc<-5yoyV^MYLdC}EgQ&lmoqe`)fc{~?BK?;AWm*O z;Y3pDnc88=3fXD9W__S=@p-Y1i|bgSC3>~PSL?UDea>J5Wp>%x-?x~{Q>Sx;qT$-$ z9VZM{zYB`n+*~?O^02sa!`q!tG;;eXb&Jh!+VsYj`5M{-0)`IW=x!--MP9xxw2a*s zjdIG}&+!!oLS??I(jz4z(Ea$boe?D0m$FW_WY|*JP*`a0wc7xCY!?s^06mWi)U2G= zuedJp1`G_OWCRcJQGbF*LC(#PNg7?itVZ}8_>SSANM`O;TZn%H=L^(%?rJ#>PE#pO zACrg;>n)E&`FVJlv>xNWuc_FRp!92s(T3T@4!NUh4-V$uV8|`_+oOuOE)#ZWu z0-LVuhq3jL2L4y&k!--Wg6IRwr+!?=L`IM44p$m;v*^5{#W($J;cq^r_ytSJ+WMhE zR4l*Tc0picIMVJ^hPois@O40$NW@h%>`ZE>f&+FJbdyJ36xBNSR-ws>&^WZt{>U9t zuhC(ObjVCUBCyB3|Gm<8h~;ThsQr%S5DN5}>`>aUgTp#zSEJ_W|*Y|1wB|{TT!LJSnm@*%N_Ab<4FXxcodsL>Hn7@CI-hJGZ*>dBp zB8#cOEDQU|6^mI+qhQ+}Q6b@K0R%FkF70erC)&^S}@5G3LJvM^@$N zz%x`*lg8e#d6u>X#D}(zjQ!#jq@>>W1`C`P*oOVa(n>b*iqUgkj!P(p#?mhJ>McFS;VPI}Gyb z@5>9`d}m~29RDLR-}O^=yqgeGze3hm#T@tqT7^LQ3j60zZ{Ro=ZSL=0udwYg5-Vr=xJ%IKg=TRcLoYJW84h&mWLKdjaih_$Q{yf z;o!$rR=Td6jt|7AlYs7q;y1>ABE1^}5bDUwdDD|_1_yr`t?8NBj z$Gb0uGls|36}4Wpf!Yr|4zMT7Pq$M4bp*U!$jgZek2np;!J}U0yX(_&$d%N}@XS>y zz(oENK9M&QyP;g~b0_4Q(T>nbhS1aqFFE=I-{Be8Qdl?Be3Pz3f`u6~KmFWkE7#-p z7)xz!p;ma^@o~+VE%p4U!8hXD-dG;A8s)1#*=nvp5Kf({Eg0SPYz;kZDWvMFBoza< z#EFzJ6|)d|hmQz~*DaYpzNYTdPIoEk8R^9M~G{0W%i!x|Pj%_^A5 z<>n<$ulJ7I86qgj80ATvoBt3FPhp(o3ST#)%60|sPw@rooyqM{p(`51jOXg=Vj|0a zgNz71{Ea->Jqqg2euMeS4J*m3_hwN*$IUS%0YvON;L+OY4LgC758-zdh`_tkRV|B* zb9!~Y_@ioT!MYV6h70LWF_gz0IuV@U*BR?)L{J*8lD0tuObe> zsy+#*vI-H<#E$pdMEh{)U_2RW0ABsS^4>Bit}coeY`k%IcM0yUjf5aUf(9pnK(OHM z(6}Z*@P;74gS$%-G`Ks#-Su7a&3jWdRZ}%J^=kgi`Eh}2y8E1a_t~=cK6{ygf9ik& zd`i&hlTd2znskpg>+eSAAvuf(v%_ybl z+uAQLFx*vS4A4?CKhZ&4>?^~|R1rV$)PXo!p$L_-1&6tSKq}u~)!MupjHt=T_PdMb znQB{Xn>}*wPlxP1eJ5578dfFcrCrQ>IynQT!7K&W5qx_Ui;F; zZV^i>qlK1~Vx4&M_O%F>FHSQxWxuSDfAhNv^k{vEL9Y-EbQAD(+FqfBC>G|ZKRp_^ zhXaSio81sNHV1)C|JYC>&` z4amQVINpe)IiyOt3O-ie;%i?D%78~Z9CP7EVlxZf0EPst&O(e`f}ON9rIEq&T>)lH z>hKqLx}A&l#k!FTrix$j!la!mb;|*+3OdWpt=02hJ|*aIN5^!yBQf`BQ$$|a%5OWx zoK*h>r~Ens3x!J!A#EXZekAi>=N~BD9$fbX*H(rUl)|V$0o|d3EAy^;_xD{`&CIy2 zT)l@jU|GvETa6dFqsE7|dt#JWA7`52LhH~{5hVXD&<=Kqi3;{D>gIx$<4QGQPyG4jBYf zEUcbD>R34q0*q|#uDxDO&5_M}JSDiRI((uFH5xnFb^|Y$% z-!~-b1rZWi-_;0@Gu5d|x1ZcVmKoZ{xko@1?5#L`9ncNJ03K%BJP7aw)Oq__7 znc)0cTNxUYt#LA!Z{9 z4|;8mY5i3~pUx_eECned$w|k4l1O~{z4fzs*T&}c>&+knF9(G->zcK}Z$SHTK(m!# zWm=DPN;qD$3(4!^AZlM=_3Yp?YpckYX%HaQe>!t)u2ec;foxd(NrKVLlYce&?MD6w zpN`rY8DO+X<8ejaN=K&I`9WTs@~$Ob98O=Zg)jYEZaLK>|Q+78{L%)CK)Rn>9cgXkI=Q-D0my!aJ?C#mI1P0&dR!f&jtO^ur~Pm+>+uAYxA~ z0c8D@k6t0R51NqI>bKaC%%HUQD=?&Ti^os{i3~VI(|;i03jWmBYLQAYaC zl=!y_qW;?&4WitDD}qG~Dc<3!%Pj?82ogUVQg1liS~zs+OzVY89^uBLS2Sl!Q)>mU zCI`G+8zPJE0SE$UbZcy+R&UeqrHzf=tzHH?YIs*VSA)zY^#q$f%oPMq1qh^1=Z@;c zf@Gqce8XVb#BLwxP1nPQgq?1X$ujNF!8~id-_Xr4Q8mPfB*Fj?wcMy#Lu)>OHu#RV z)~dqINF4`}U5}d>y(KvgTEvGM1WH;8n7`wa;oZ#@ev5-pQ-pPTZ}dJX6C{o<5kp4G z8IGSAh(vRmC1h+EYw~m;1w#u2Sz4Y~`!(@7u z)?K9W5sZ((<9~nunI509HJAnibYWp>d-YN-d9si@Pwl#lwv>4thGKmw62LcHZAW=VT+FD+! zgwUX+3Om7DCA#tmOio_cFZ&0PS%^c*uoT-C!&wnN@z@g8i!jq2u{OO4;QOma&(|8K z{*gbo9+A#PTHLabJV+sg1{^=)amf1xha@nlj~CdpOWyL0F{9-0qGFskBAIG&MGX+> zSC+UFT;ILCkt^n@i$J`~)dj;2DZp$6m{prXbP*w1veKanB$^QsZ7)5AsVTHvn0x=iS)?Yi&0qWAX^=Qnm5qU%q zy}3R@vMq8wJb&g{5zdp5(KNqH4T2Zr`Bpg5VVzMqDa*^>`UGSu63owiuKnDmJ|_D; z5N|*k9e3m*+8-({=VS%eG=*@8?G;|mw!Sk3;ozHl4U$66@reQk{w}&C%S?m`wiDIj z*$XaR{Hj%Cyy|xs8j(@4_KGJiPc}1eXEkng(_L{Crm;n=$;dd+w0v`VjsMc4@>MPj z1XDoK_|svg+Brpua_meLpuOqV>~wN3f{22W*VG9o!|mbIsy3GUy@djIj3=%E9#><2 z;a7VgzASG3M!^-kra5?+SalUy_+p^C&LfhiIUxZqv^M>CE{GWSBi7;h zLev&#koO|n+maW^pmTnCvy-4+s(z)!5Frx}N>_o}%1I#_@!Oy2i+_!q!*;*hoKy41 zSFi6>5pjHtij32xsb9bnV(1}R)Vu7Wdo~G(k1mYag}ymHaNCGS_v2aIZgh0R;p^9% z<2XpT>tVx+LDY6))Ob{3+Xj?}Y-l0W=tQ4BaNPD|Yl@^DkqdkTeQFa!W~?m!o3j6@ z!>(RtVkuolN5cUHw7|;RS-)4erdEq7181N@CP5<-aatvgne*~N0U)A&=f7Vu7JoF1;Z3yo33jX-6}mwN@}bp)rs+F4go30LC7zv zMTG-mH?ERC|0AeEu)Jr)*r$5@^bwNCz;0MmquP&*j6%yTyd6>QP%p4{W%7tB&jV5s z{doV|n4R*0-K(%rO5R`>%SBXT$^QydTlY=Zjw8)JtG_zFt0K@Qa)g{BDU9-)NIc!w zCC7$Wwmd9T-oI0L?=I!vFSi*t8|$9^+W&UF+dSEDP#y+nVA=cL^ctFA(|_vedw0?O zsgN8cHcKI|J0>wmTrW|geiIXQ0@h*P_@H66r~Gh;N#Dk3)DRJP}6 zRY_`4{NcuK{Wbm+^=#}ifC-dw8?K^xNalid!O;E z*hf*%L)h=}j~L*KzCu93?&;`6fCDv7J0Ji2Rb~y|hhqsSE(bY(8S4EUMXbT3_caO! zl#^=VM03aTr5ZG0w!lfOY`c$hcwm6>vP98ElkL4KMKla%9!+&7iqXe>#9I0OKw)93 zPd3kijY6O!TENhK)j=Obw>#zat&sKsBFJfLn-hT%)(oS1DHIS`At}7hw?fO8b`f+L z$m9QdttgPjle3*8iEOn}ENA>qeOaCkRvv&vvx^sd?+8wb`ec@To+{|a#!joQGe#|B z58r1di}H=$ragHg>-wnOi~R2DAe;tFBD6}m?c(*e(FOOlc-)&q!$d_&xnu^!9ma`T z5^TZU__0DR-dpj9()Pq(qF~rxEQfCbZVg79m$fvzTgHZuWWyPvp$p`m(7653Qr&Q= z^S=+!i9kK~J(3U)^nilRSvm6uX9bn`9L1MWJV}NKWy4bF#t?|jnwW;>;;)MmNAU)X zuf~C|Ey+1cA8^`JuS8|LyMRz&AbcAE9%wGgA6K=sLkb0Ws0kx$Z)l~zb9RMzR!>4_ z>;O^#p5XD5#Rwm8XToa&(x&f*sckI}{)aNilt6!Rm5M-spck^31*}ongBux(>V9TD z44XPIK+B7w)d!iE;5?2xAc0=dUGvwlfW^7x!pw;P1p+;d65R$lAqgb_cZR%9S^Xqh zbvo}l&~AiU#$f80O`wv-tAC&eQ4d9;(fnN2MrE~YFPpS5(V~ijG*b;berTiAtE;rb zM2YZ8qXBzd#cb-;x}hIx3(ySYbZ_X>}(5oQKj*5ebtE|e}XZh~fEDV}85FiuGZ5sdN@C%2WIJ`aUiplM8IaHw@ zUyjczN4M$9O9ZcW+UiAHU+A1P6i!tv$X?Mev`KnA~#dOloqHde`wn@Ez68ac1(0{uoQ)kk762{U4yV$3s~s{)UMFxcU^8ldTGTl} z_7zE9!?COZ4R&GdjW%Z4TO2hF?1}6iVE$}$g2=RD0bzG;I_}d#bdthqt*;@F14~TQ z-nCxz$ygakX3>upcbrfHHOUb+C)EQEut$tLP| zG&{7zXR0mxM6>_Cw(hl=Kx9PdR4r-HJrs}KE&>CAgq%h)N_k1m#}%awdPpt8>nng0 zU<)%1MQf3)*3DAKka>lRZlqp^-s z^G~Zj_{%-ArON)_-Vh@>&kw9W;wWUHvynhX@%V}%U@+gBg3~@A-*)$gK}g%|c!l7z zmgjO~wbjW*L2D&apR5xBomW5H{aWj^Dfd^=4Zk3oj{NDIw%!JfqZ@F>m$Zmuj%LIC z0fT@DbYc()Fx$qy?>xgT8FoKD>Kica((#jFBG&&+g|Xbn{Vnu+3XiKi)J7fFCat`A zEAsdt^>{t%x_(YmKOZxcUbhlQ?H@>J;u8~j%3DkCIl1#fh?ey50uDDuC!--g?>Tm@ z(~v-sZPb{(H~3lB(GYEBCtB~Wfc)Ozw$tSY#;*vvknHl#D12hsdnY1j_o1|rt7`bh zp~@ZhVfWM01u0gqu0@^;($ik|a&B9l+JWA8!xj%XCZ=?p9X6Sow~@1QYurwM5Njf>N{w5In%xe2!j7=J%v8hjC*>@DRZK@0#_~K9Q0EU$O#{uGBSr z`^}9l7!6BD?5l3W0=625yQF0_)Mt7-!NOF+p>ynaA&qRufFIxJ9;zEC1K<*2ip@rp zZ@kI^YGzB{-eC?;5_Xj*;ZBkSeA6PzQOr29`?BiRTy=Nr1P=b{rkE6jQA7%e*}Ra& z&n`x`Lah`Ua4O%G{I@%BEWZdX5=vwoeB9`W; z_{w9Q@~Nh{YPVWU6=Jnj#}6g`p~PwGn6BuiVd zrIc#}tMtM^k4liKnMU*iu z>`#3hN=zmFsg_^`nG?I3gR|wsl7>ng5kg*u-*FCLBsk11$j9Y2badh&U6D+81_k7G z*|O%wpN0FMXc(FDKUYHsrY$cIq6XW1=Urp&ykYxuwFu1gHZ&K}Aw<$50Tphgy~{0I z-p#>pQgm}TaYmPfn4s`%iyXw;@luX62f~iGWRO>MAn89yH2ls4-yMvD7>l_G^cCJL z>GP9dT!&-p(Enmt-()<)!6(1dzH0V(gxC2vgQVyPPtb^a7yATv)Y1Z$SX<*Z9i_n_ z;U9=vrmUS@lJKtDxmE=i6kLgmpj5y*r?!Ro7JP7ZVK}bb)ssQfDQ%IiYN7OswX@diH&Et67hbS?&kEmPAK9#@ijIihj@Z=W112IO%_}Z+!CnOD7Ba7em zWJXai7CYm$tF9ltN_;wUS_vq2?<8-L=PR!pktj3bp*}`xo^TA+ofiACKVx@Ke<@~+ zxu(g<;b>38#%c}2-t4A6a^;sdyW8ifp&paqLr@)OK%h55!`&J2s1_f|_-Q3x6XC>F z=s5W8-q|g>g4Jw!5nl!sP3De$jZ|Geu%EsfoyFQ;3^#eWJv#Zld{6&)9WIqS_FhX& zvzb!Fxwa92Xkn~~io?`v%pIoul9$)1R1(~Rd_*W* z3qkWFSjD*%^xg_I0IHy-yukAj6Z3imTT&)r98t;Zbo;7Nwa0shk3EIi{xL0L0ys!;ADnVMPC^;u>@2^J@10DMa|sbgi+-BM zr#q$gTJ5agH9*M`LKNTFE>}%tP*EQ0`f{ciFsRh9M~3?;7r8p6JH++c z8cPPpY3QKu>AG-v)&DVW`S#p9Oren6`egcpdn2_Uw=3E+wXQ*f+a{aj&867P5Gp7D zp-{4C?^TwJ%}7?9gu_zHEQwSbd|+saug^d7v^z5wRC=yQsOvdABuyAEEK@^*^Okn zv>)(b3?-&hmV0nD{-z6iV3cRifJ9n%t|FR;W7}>?5J@o0GG+y0DEY9`KBNh|2$Sc2 z!HM>;b#czKJ>?=RBN|u0>?jDfqD^04shfm_7ohz%@xT|&r20(l8%7cSR|L)gH}Tvh zu8@{VLYa!h`&2g3pzdG+`_)J%j^BcpF%IJdGSdpsK8S>O&^;ZsNAbP^(fH$Syh_3% z6dl`UlYLhSzyNV;E8qQ<5th^ZIz1pNt6Ay#SLVLuGdvDRuZ)&NC-8%&%Y z>9{Jf$r#{RuJK}%`$`Vnwp0$a@+IO^)}r>6wFk-jk*pFoj9tX_zPR21IA150JCvRtOW0FK z;1G3)3WXSj=iX%(<-)|7V%?;vlEJ+eF`|_!Rp^M&ei)xHRpfqH)gjUQ_Lc$L%%Ig=sKwt}Htn3WFA<7TP|}q}3$O zoW>y}!*b9=g zLf2^7SY2lplGL#v6;QY(9$|CUV4zyiA9@VW~_yftnQ&A#91R(JX)2uh>{AI@(A zwglmRw_?d|yznDmLA3m1WQ?O89u1f-`72&D<=0u%VhN)rN4V*Vzh+8PD}_t6J%-5V zvHgz=qCiygMz*mHUccL?c{-{7IZ-+yRRPHpAjAn=GeAP}zs2x>5|aAMi%oa>;s^VB zQiV_s6ALOBjt#DKq%CCIdim&ST3=IBD`Bm7tze7*YV}@fuXfM1K*+=!?&+TEDdN}O zn^9x~TK;5RuURD_m$y?ltWljzXNBZ?S=_ES=xk68cP|Ggk(uSePnh+=OxFRiDn6cRt7c zQuKv7C_s3!gr3gBBtdpYJh)SX!7-G1$Br@YzGAKh2hr$=$8F^Bs^Zp-)EuFmYvg3bQWTEs`)v3VYKkLtoLw5y@+#hVxb*N%@_O}1n__bA};z^upp z0-j$;EKN8&u1|SGLL}RMUIKQ`@y0-sU4}^|Q;_r)bTqgI)JTjMs&}977&m5^RL$<= z81Nqx)Bsf`Wp7wE^eY5~Vwz%RS|J1&d9m-h5$mqE%4<6*W`M;K=Mo8N1WGa6b(-{u}# z&3c7wUzbJ%65wHn^w9U4^?rAl1}0qehW$aazS`}GXeLZvP<^%x3%hIgfc$vt&$RZC z`~)r?T^@IviTGu9Gpf5OV$UtFC1WT}o_e-oRvrtQpxr{yZy|d*JR}UIS3SwaTB1A` z5K)WL~~91 z#x<=lC@FMcnJ!PF^-xO1cIxYAegTlY(zlJsg%!(TMnt$~h+jBUL-RNCr_>M4BiYDk z^bUtE@fb1DlzqMXId=h24Q5}cQjFkuWClola^v0vI%J}AYtR$fqCXkv)8M?FDcLkB zRA@U@+MjEP1-)efNw22i4V4Z}dt*)$;}xnL#Bzdugq58oK#n}*j@c|K5&4bl#lf΃#)B5<$0$$Cy}aZrY_Jhvtr~)uL(!2^QonNK_mDMG zYr$>JC~O#wWPKwR*CYu9mGh{0@UO?r*2Cx`7Uk-7Y|?n`@dlX{t&B~+-E)%B|kWtG2Q&TXk{cz^x6cf>ew*8IbTA5cnX zJ8ds*>?Bf?2wg=O=h^KK>r7-=O=LaN9|Om=71{ z?J5*C6)a2i2fX#}Y3X*!26fOG>KC849ip|^mBz7+F>McM#HdX9z+i!+F$TJwsy6h; zSl?H(>dc%KVlnQGnR|)Vr$$=zi48Udd4EwV;)0pTV0H~%1$}+LgGnv$W9Y`!OX7VDDU<_6EpLnj zuBwWRbX7Fk!2&KCVD-v|Kon>NAhPA-a2n(M*h;#-_*&WiZCcLTwREG~A_atRx$B%! zI0VjzROD8N#Ag;_xXEHj1nd!c?8H)X1@S1ZqoafpwVMT z0QncVGvD+AaMzBhc=X=Qj#)A|6aNPeW53Ox1!>u$o@n0w!l6wHD6ldnc29e%prBww z2`-Vj$m&T>sMO&WgBaNu-{IJk;#*E;w%tseL)$YtF#InYGHTCZbxZxeO~ZHbvWZ8T zwrIUod?{birPVF=8+ZnOkwx5d;8bU5eEHVZYyTc95VJ*O82SF;-p6 zNdiP%yI;)L){cD^%xf)hB($C0A+Wtt@61R=jadTMkH_w>E1s;q`aRcD%5-$=>T~hH z!?H!v0n(l&@Hsv~yC3rRt(bI9;qt~hB`%5gZU(r>F@jL5&{ z9`t#i`#mj7`!X=NLAxxRfC3Hlx)gQBb01A1jtVZ1weoXy!~_6M;*Q}1zT$wSBZ%=E z;dXjjShQr?QoEurqe?===ynVU^s*$J=K~EEVZWMPVlBY9$H^{9nV$m)HgGl?MV;P+(2L>Dke4RWAc z>ivAXf55ysVm=5T%Rw^8>@Szu&qR6SR`p~?oZbTNIGz|vs3n2n){Yr{=k| z!&QY?vOr@At;#29K@|mjCN;16A&Dqs?;TH{$Ibc%&w3)!80e$KI`_M;qVvP}0C(ef z(mT?*;RPb-$Dkf}MxvS!#0u!2@%g{h5FQ z7G=QMUUgtjL1qPz7LRVjJ&AZ(mT`05MMqa@x_ZwnIbx00GqU7Wi+~4^N@`f$ZlzBO z8^c3y3t}kiGT1@_BvQAT<#SlInAaylu^n|I0`t)WO3LBo@Yumo+Y5fm5cMeU8a&)u zjSrrx&L@AFIW55DChc33cOmi+Q!gDZ=x3qTACodgY&`=6wk7k~%N6bhqD0X@rBm}r z!oH>}eff2~^*gh99tHS%SFRNMrNE;0`WGRlH7gt6-V)+_rs$M(JNVsjX8o)&S1O{c zP}zwhHqnE*vBLz{F#w7>L1ic^(35FC9{#ZGVM-vGmfpEw`bc0ejg&;FoJg0`SXQ}0 zTTf0l`P=*O`1=LO}B`7SpKJJfxwyrVYe8ZgG`|lpdkV;|wt+*$hE+MBy z43jQm>k0{EwVN||_y9B{Hyb!M!+tREHR7mqSPu0{M|j}%%6-ZSq)ZG1$Xkm9fUaXR zwccDCO}qnv5;V%HacMtV;XbgAu@%z8vY$EH?0&c}+h?#gAtOm=4_K;XimM(dWvUU# zw_FXUH+bFf0w;@kKF*j|Tt0p%`4x$Fe~6u(Cn<~@WZ4lxX~li00Jk-gy||-4*ERJz zPHr|FhmbU4(C>i;90WkIP-qio;dtO_vpX&oF6ztmhyM1Kz3G!xA;VQ}X6e}dxUVn5 z%}_DrOmlF3lPtKshxv@#nQKTNHHS;@OQ#86DRKFLLrN+rIC=VBL+aQ_R7spU^q(~mG$8A0X z`JFtb+bz)osverPbhUic@tCBm@nX+3fg)AZ2GkczzCP*gQ-4O2G4*U%G(rTNF}f&w zujftL4kque@xr@fjl|sZzBge#+!fGQJ1lQi5E3qQ%~t;%ZTFV~VEB^M#3p*dKqi<@ zCTANOD{s+FErEI0?4Lb0rrjkQyI7R>WBe>$+HZ73fyjd-mp)+to(>Ag=Vp@ae(&#mCEs$4zhM=o ziEpj)X3fMue!j9#tfz8)3v3Luplw{UzW0X8DBus*z!gWI;62+=}ZnLu4CU9_~W= zuzrB)7HaU>GBO09Q@=NGYf2!&DL025+D(;`DviDAFfxKKEW^6}?lYJsiUymh^~+D^ z&_PsIi{p{kFy-0N{%@vOl;Y6!dLx`5IvTM9Dw8B~TU=7o)yX@K3^DXynI+uvOoDL$ zB8gXsdebOk+^Va)22>DiuE{5VN%n}=ot&eACibVQ@~>?t;Kv8iOZ0tPQOam{Z0xSa zdkB$umd}wPeem7a3dgcs#DJizTQHCghaBiFe#svL!rNs?=TLfsmS)gnFp+G@ftNgC zj82qO@So#{Vjt+1^#CVI(4PJ3>}CZ3egeLSgVE575CHmoU4u#}!i@XJ7L2G7vhPNV zMo7YM3DrF!CL;>Nl|xzmI23GxkF?V%BjtF~C11MGfc`m%G;u!6IG3#DVX7pa0ktYY z=WT-l%1ieOE{jUd@W5cjwf*v_QN%F*xaM89_(Xo`7>B?n)_*%JQ6V@b+yCVO$%O1% zS@<TlQ`J=39r}G|CL=-Zf52s>A^~n~`<~IQ zSa*b!y09DHyM^!fiP#T1X58I+vux>sRQde!YB7N%&B<-+L;(xh)W^kOFK0Zz+v|g` zi?L;fZQc7KBj$7G9|nHjk$4J_ffdkeYI{?8+;EUFe|BLjs?!&?ktL2{xXTH6A&JF* zNefg+$Am);{=Q7?iv1i|YlJH+tIBIWV;IjmCUj@KaAo1?2Az!kWxNXv_cB&qvx5s71m#W}L3&uM) zRDbboQjWiel8R8%VxzaWMOw5ZrU zzQZCD2L~f#1HS=XcQE$cC>2^cF%s7q{?MO$tY4&vmJyo+aYQr>{mNZLn*fQab!xp~ z!nielt|X;D6-Y4)nj?nAfCTMlLaIM|L7x>D8X;1)e=TzR{mne(lj`gGXA|-~5~!>6 zO7(tNCd~1)3~#!auOD_h>LunNfh=%1Ck0Kf$`@04U6l(hM|Um;l%u*k7nGHlUJ%GD zNMEQ9>eXCFlqVT_5W^0a3fO=;*2*8a_9^IzVR1VXJl9-N|E;pA#Zc%}BUF0(h&<_B zVS$D1V1fdjcv!A0Ay3$!0~DkfwH(Wh& z6EsGDV^Uc}veVCu-ZbaF$D|G`UG2`gy|3y-#%aOfgxu$w+tUdQUq>`K0|I2)w1jvq>F=TY@pagOAOf+NaX!D(S#A} zqth3#!^l@10GcBG<()8v8{h~3dr^V_NDtxGj^AFSJMRC%lG91g@p4k1m zl@d$LQeR;w6Yryh4{FR7WV>|CnxEPHEcX>lyW!L->GQWkMW5XVLA#k~RdT`H@;aRZ zVacfH8#5z&SEEWZ1`Sg^%HW{jw@FlDK6Yp|2DL}A#!2MxC$@)7wP_4;{ z;w4Xl^RZ5Rt5gwiKx-!_i z20RW+uhd=305_%bVTDy&Og^<1tss^vV9Y|no5J~p6!kYw`tz$8B*x2Ni7W1&WLz8w zZsfi~$R1W$oKG9&GAZzY6C8?)zsmwE4hb{hak+-79ds*ER{U7PN~PjeP>+6QD0bVO zEg|;0+?_19)z(S2c*xRTy$#@$h73%w1{gXs=vR`vz)u!pkIAe)vnDD`2=O>mJ`8x>fdz3It0W!K~83tRo}aqiZ9x<5rbN z1FSRqoIQ$qmDXc#t!taGnoSgM-4@?#r{d*4IN5jrz`w1~L61r6Q`oPcfB3F%B8CAeMA21u`hkQPdPiU|lYgzDPU8Ttr0#vYd@_^w0i}@JEmPwQ7y+ z^^0ZpAvst3=&udNi!{lA4QPX1-5W#`gMO9b4Ma51h+a7Vyvbc|vr~pzi)(Q~NgCh| z0M^6=IE;*}Z>JQ`#yzST*X{*)w~6^S9>Ys?yM^qh%95L_7+ z_B~^NC;waFy2BDy_u=9l&5Mqi#t}L}P9Pl*Onq^R`th2le3Cqu2XS3VMp7-S5qh=c zyB-lKt--^i*I@03QowNf&#I5n18@o+;pa(VFIr;3aP%r#CU%p<`DUAt&~S^BvnZhC z9Jmz+nPNbG-Nt1U5g7pl;Bw{D%}$5sq(J56>rEHPV>qw@>AXtyM+Q4ettQlfcL1R_ z*AX&*AT5ucxQ)J7t~`;9Gwc z*mGhk#K9^gcUlef@SJr93j!Ghg^B2A^$zvv01mw%HAsq)f)j z1JeMxeO!*%PmifYV(y~+8sy`SDEZ*?ZLSI`{v72&CVB~%S_0?YBoJj9gh(htsbjNr zxCj7!CeWOr3udLMys4!DH@q1Ghj*8ov(c&lvvjUbFc!GiR3uj{;AhQe!~Z8ZZi);w z9`Z7jAAjmRSeyRX7Ob}QM4$!g{Jm1*tXtF=pMI3g19AXDbap
    zX7fh7qSqBbSU7;va(0V;y)}Q)U^EL#G7d)73Zr4HEd*u@g@QXeI)hifyrU3x!*WX@ zXFXX>6>Q#z zA?gSMIwps~SZw-f0i{<5bPTDo`>jK;)Ku&S)ZHM)%sqc}R$uK4-IJTIc0~dZImbom z>&u60E-7!M&iB=GW5DZ8pFh8tUfI6j?Vt!fuxjtmX`pGjUeg3nL=E(3!v>N3@KD!U zsh^lTMoyE)&LYHUHgr4mPn>pj>=zpX>8F3w>X`%iF^Dt28quud#pyfXSgHp4^F2vW zXDh4oY#~B~b2p3z7Oc@P>U_%%c~#S&Nl__|FdH-Zf^1~k}ob(%70{K9?=G?M@-ofH^z`Fv3uFUfMC&ZzI z{4mT06fmz7Whp0tj7bXn#7k!rp_&6EV3}jcB+w#IorE2?Sf;fnPr2@c< zn3VUPK!&gvMxziq4s|*dH%|dL!ujtu{9DOLWK2|l;@|b>B0S)$fM5>r6ypVaQs*?F z+dK`3&yoJ~_<#Ns|NH;{Z9)AeU~-`V diff --git a/notebooks/figures/05.08-decision-tree.png b/notebooks/figures/05.08-decision-tree.png index afcf773a895ce308786269c7799a886cf3dd43b0..4394a681c67740bc049f9881f48cc7c0aaa8e435 100644 GIT binary patch literal 36491 zcmb5Wc{r78_%^&!N=TAfl#(PRLzyE}C1uQ1DI_vvOy;3XiKwJxCJ~tv%1|UinIoAJ zAt6&p_|AL3zxRE=KfZsyeH{DPZ7pj(>wfP0y3Xl(ZfTxAwuzRLmO`OyI&oZCn?j*# zqEOcCpjnTf#O+sR$A8v2DW1@!!9SifmxA&C8|{x9I#DQeOyu7+Ej`}<@IxtQ6$57- zyUWhkO&rZBwkFQ@Hg?W7S4?-fm^(UMvAeoM^nl0#QK21{&d&DI!ovUe1qbXLErbuz zE!I*fJ18fVkLtR{{_1f%r`x`|Fx8Q}>9z09+v^1c50nIi(AFk@i#ludcuD(*k+)G+ zc$Do`FIz3A`j#f4`rU`FZ>inS!jjc};zjq{2o?6Ik_!2MA_@EoNB!#GEG@b&2z-*8 z@1BqQ*6rr>quc3FNU{J8uRo(A4R1)b;yA^hah`AYZinT+*PNx}x{`uL6WgsEu3t}6 z4db*5+Ud_Yu;m2Re*X|>Y3|!>!k0fjJ`^i`EySqM%EZ<-%f%p>{*t-5!%!Uyr^M9; z-!*I5Wn6@evh>Dt@d2{y!qmSpDsoH5-SJ-jo76hG(CD+GRC9+rFF#*fMo23#zo6h& zNXWo_jUz`h+w)z8Y4}>y873N?R0Zv=r|t&?Vgvv-s3MIho_au4ulp zvJxxjp*MaIUnMevuSqd|hnyVuh7B7Et2EdD7Z?<@ zfrp33+?^hG^69Ck_B2}5Dk>_?sVCXaojaHN^5xT`H`l92iw4MCpI~qI`18f0*-|`K z-lsR+voqJkQk+xT<(H*yd{k6mYU*xoX=ec~S^XSi^O2^cw&#XhxwyFgEiW6ExnJ{h zpO0DVHCVf4=gyt>_V#a@o9~{ElXm#sfApzF!W}FEKmSvMJmy0i+*_ZXa{kr1W%K6E zFO2rb$H)8o`{&w!t7MAHB$vMjmw%?=-tLpG(;xPHsqm36^O(OpJ@}!xxcH#QADgZs zI}J6pkff{LH@2~`n764qJBw2`Fl^hgZ(qG84;Ri3z5DCEva)1{*EZ%q|k<)t*-(4g<!Unbz1msk}}Hpy(ZkEIa#H2vK6@YS_3 z){+Y29E-MeEo|nzYh!w^T*j?BU%F12;vne%G6>1P^nvO5^XHNd1M3c1e-`hGij17C z9jD{z>@AU|m^Z3JvWsg+&`sK?OMn=tFj~YIHjF$6w$?LX0T_=q} zxO`#fWckv8efrshao2nIII#Tb$09wqFM(C+&`>+x5JvwyRiH)zoCv)6=UyvO!o__-ETQokUq5 zuMymizU!<1#*ZF7O8qiAI=Z>sYss`mJM!(#4NmhD=O2q-sq|Ty+3x*s>KJy!TEJ0WnO4AHAD=;+;MT<5(LXXZLCd>Qa?<>@zoue-_2jIY8tv57l)>4vt?633luBN|mO(kaJlR`j(^t;DaN*uIcJ^Ss%-w>5 zA-MhQPyHg_4b?xS^D;8^4&7`e?6ZV*q_t@so7*O7pQt<~8+`x%)}B|_zTXxuzxXbA zOLw_f49;-WPZ3l{U7P>blb%C#-N}5gE2GFsEzC0CkIIOKrH;|s=hF<2OE><3% zPd%@%Fa9cMOutZZ#Ms!F(%ISBlzm>Ne09ZxiHV73)22hOIC3SYr>9-NhelzWbiAxkWnri9V zug<&FbgcF>KTgGa{~e|JI(_W+N$FLNM8ks1+oYXoe0+RR1B!vV7jV-GxM&i>v3Y@ z4o^={P38bBpCc+OD(z_7vsR^|{U|=OwKSwqE=+y@l4rKT_UlV?thwjEshaLmxBDH& z9$_eT0|Nuv7ZZH$2(5bDnUTN$+d{OVDsp(EM@GZMk)44~{w_`&88vYa)E$b#4F87BW zMfAy;Ouc`L!wFVF0{)E2ksk!NDF)MisH$3v?pavny2IMqnsvX?yOHLUFrLvKbdk^5 z=j(CjT<3ePp9$5(2VS|q#gbR>5fG0~+G%b|`O05wan7)BeOPSTw(#)qG&DjyyWi)1Z?IycqB9KF50C+;MD22WRJZpFc-o_46;jrJ8m3$}^L7pA`@;n`QbKBT-Xb zO^qw~*^$$@FQ>G!&u8^~;tJlFehQFgD<@~j&6{iQ+_~dC*&By1%hs8eE7i0b+jTD@ zLZQNYIo-HSnt_2qSy}n_SG$Te_G6#-zYpcO3B2<8^XC^=dmdv;QPmW?&k0VJ>Rf z6~BIMW^NvkmbM2AEGYi8vbdx~1l=@ckR$Q@YnMO+QeX~rA^o z*&ArP-{{4`3@$ddnpi0(%Z_aBM!ETI4}~vW#<>9=xx297`tRRA`fE;(j#$nOGA_T~ zG&Y6<909(b0?N40e`=s9N$L5yl6(UZ@2P4wo6cOnhzLgMYd@7ylL1!0e-D?xj71|w zV8ezWs-@-GRt=l(;=4HBqPR}rq3X|BXQdnmY0^%|B?C5BOM7D@ty!~1+^Q`YnO*?9wjDIa!oOnG+iUc-DRegPZ)2BxH)rRMW1;8vRc75dp zcC7q!BljO*6@Wq>UtCyEeKj&J4p7{hGSXe*bZedsd;RTR#bC$zPcoANlch7K?|v0F zE={M@0r$}L@NjcyQD_r|E|hm$ejTX3&7!~|arK;^8CBi8TU#GsUnsd0&Z?@fwp(=-la`ckC**onZPA+Rp8mP zXVjl|9XVp0S5Tny%6ZgOcO`LNMT>d2n3&FJS79cVK+3W31NrgEvJ0fDC|C38NctZ% z!H%KU`^kRDikX#_b=wioPR*wsV}`jG*Gx=IcmiBLiizQR866WNc75WUIOnE5&zVzs zcgDuYZQI_Tfj5B_sXpG(6-Jw5rCdgdBgSJnO*M{w$nwDn|A3j_iKOb}d zeiiWX0``OCwV%w_C%Q!*D|rpoJut0V>NE>q!z_LMl>j!oK*SplcXz6$#G^NdH5#L%ZZZaNy39Cw!=FLVP zpIO6HtHR}1YHw}b6C(StaZeNMhpZ+ z{sW$Teyqt~? zdHP;tq%vxZhWxU#-=LJ7T%1|Wod?Aq0dbpBPd+rw;RhwI6#sC_Ur|@#)2C0MQU@-S zpA#H6G%z@LrG*bg;XNRdf#p4q@vcLt4Rdc^qTN%1Z`~3RtZj#nwp?P43O;XL=V@#eVHxvXRz_9ckRO3DE#^JXWhDWxz{I+ z*Kg)gN3A?4A&~~a0Y3XHsVnxdE$5!ou@|QXs%?5pqd`in+B2$AETnu^WS8bAhpRTr zKXLf}e%>|>cXHkO_4(e*?u2#$R7+g#zK8<1u(-%^^+)DNLqmfr3SsmiYgQmQa?>wa zSZw9y{)lq5k&bTP?6-aMVm6%zP0h?UZN5#Yv(yKm7M8ZU2m3~Q%VfS5*$wwx?=$au zab@$NtQ`qpnDQ$NyKwyR2~({a@*+5zFYWs780QQx&-YoNuWz=g>F$ojr-@wcmdrLT zs{@|yEVA29iaAQQ>yuI5p>gtBFbrVETyUY!ITtiQk0m`9a+}xcqele$v!mnt!A(cG>^epVHrScbC4=nNn`QfB(Lj>kS|enpT1* z1nnIhzTvoA1@Y>-02*RHw=*c=rfei41+Aiz62WQiWya&0{%W)Ca`^5K=l+j~K@0YA zqpVC0&U_Y=)bwS zjX{Nm_nlJ2Ykhys6F3;PpFTYWy9JD!#`z`N6Wd-CSub8TRiwnpnv4%6Nv%ogDw-@A0l{_ zYHMrB4y5On)*X)!d{SF`9AqXaE{+>_3g}sJJc2ZHP0bY~-F=3OfA)D+$Q+uYq8{~{dz$Xr{Abgdo&!3?; zsaFDTMvGrzy5Kd(!pqD1+_;QWLqp?#{jT3}z=z$tbPlTpsgL5`YB8fSEAQsT4<7!{ z4>(XPBFU=YcsTrM;J}fro9hI`Fkf9+?k;w?=|1U*{T=Mf;Pc2rlF z8Cq8Vv$XhRfI$O8!)M$~92^|VKv>(iYoN1~mzP@wT>>j&B2WN=7n+a>LD|R2X+&*A zg?a}BFw&Wq(#5-xSNQ>vh{6Sgg~MxjJVNoNTX=Y~T_mYJXPb|K+U5fI7b=Nt1TNYo zBoqoRacW$XwzI%uvr-`aH=vGpSm|+l;L$p0YQe{5!8Q+GZg@nybbR8)3vpRFxe|x( zfzRJfQE-{)0!}DzSc`UsG)0qsvq5SN<(hef<qT8(k%{oe8`ZL|YO74>;z9?bpvufdX7mSY-M+m`P>?W+ z^$go;3#~gk3$59%{cL;N(vr{Is45Ur3H3%2Zv#;KzP0r}K>LxFk^It!U{a4shYNia z9sTY5_nQDPhK7dZnyP{}-+%Bx1xMpb%aadEg=78wz6lB2?d?)nK*>*|sNY(9du zgb*3;H2lc~upie2pqv`zduzJ+rR`ax7nW}qXNILf7_q?OmQB8Y=f-rhj1Co65fb|8 zzb_0H=s4Q4+tbVIR&a140o+|0IUQV|7u(0?28V`BE?@q0eCBC&N&#fhE3Hq(ZMz}? zh=@3cYBcrd4?iE@lP0f0e68TR6F7}^$5T|pXc!pYH$1;2mg>E-Xn||ASXcxLN2#r| zqGvfC#(5}RD`ow7SK;f)tvqB!@T)1cyR!UU`NlqHna%xde}1;;^tfio;P>xJsJ=&z zpz>-b?dIoa0%GX=$0< zYIjjDe$US8%0LiGZ^3E}Y$*ii!q@-v>r0A@K!8!Hs|fVogGNpU%z!U<`ui_}YCgf= zbfFY{`0xP~%?QnmFLi^&fAH`l9WK`ax(-w3r1E zRR~1E-D%6z57)~w;)oa5H-4U#_5ZH4;kG}ub#%TIJD|{R;{`f87akWAbMpUPZxu4m zWU7*4+mW*!>i7_6IAFmIvS%X4yG!o#Dg{Q|z55mfh(p>r9Yu31GY7|qVu$azTr+@l zaMpD0d-#=AjUPC}YJkwu($@qb?7T%eFD{lm5nrvu1s$v(cFv`{Wq9xpW-% zoU#Z`gebJ`iQck$NZkK=hjUiQ2{@?GlM1O_? z0Ktoqi7DCTcrrW0VZdXsr%Y_kfi1_WvXX)K3ZN!IXbS`Z!qK-1;^Wx?vJ)G-4K=pO zs*vTd6wcg}r%$y}*>F;8aAe$m<<+z?)bkO6L+D&_1PYBK{Gn~!+#+I`j|zGqJg2oL zb&Tb`c=4{KMSDEr-C9WAcX2CGL^-4!`LNzvGJL>20)2aAXl|l4f!hE04XNiLuDAc^ z&kS7eJuT({AoDF894CNaA!W5?oz)-D6@20Ezpk>XYP9FIM4#6@w}$MLa=`Mg6OXdN zA@WSB)*HKiqc-+gz6Lcg(d9TXkhWN|5b4Y!-YpP{oHjsJVbzv1Z*EZ2LG~90FMQ~q zOB0gZRO;pgA)^Y6xt-yd?iw~>V?IgAN87y@{9MMnh#Qr>PVmS4y$9Vt+cP<2T%Pka zCU>hpI_MV}$?Uzle7#WVS+4iexC9XFt`xuIZs^xR;4b;@b5_KEA_kLS=c{Y`y#CH= z$O=K&);Iac5xI-W$7-g}dy!E<|?Z?qN zo0tWq^Y?o$J5A`7I4{}R*|JN&3LuzlSDnkx&wq5pOWNDp8z$WVzzz&CH;AtjTw~DA zfZ^6&9IU+?m{YE#q(s*S@ly&s0Ji7A_&8)kCt6!E@b)8Ke>GE7H{reUKAv!IKy-U0 zqC6ov6K&bm%`K_j>KO_?_QH?B5BI5m{#{sL)q8 zbJXurcs$r3W@cte3JR2pf75jKlXv?;GdsV0A-?I-WW|LYcK~rjFTSDt{G4?=ENl~M z0m>mG7uVV6PORn{e^be=SJaggrLw)D8qV_(J**RY1Kxyk?v?Yc!?s=a!=JdZ6OVzJ zg6x|7Xo&vRSCNpOE+8Z{QPu-JBgt#&&pC*`S}Cf{PflzlOc`SHMjDzO2M&D7Rjc*i zxOL%YW)3?F?CN5pPi=ku_kW8ssAt3FA}%9Menq|Rw>iWv1C+AgxOsC8Oc}9^A{b;> zyNlm~Mmsn*+jM5{L*GJBM(Kb&qIU7(4#<8fSVYyioO30L(9UrvzrkP}z~L7%%=ZUq0^wPF z^L-7mSW8R)lRD7tqGhfhAePKnPQ~Tfk>*eiu|U{RGk~fyf4Op=J*QNvySj|fttB#I z9z9Bzl#~;4a;ERqj_RoO~DR#ho2VmE9W0>)PZ=7~h@=d6P=!XhCd zv0GBo002S6Y8Z;B9%Z+*^k2Uzzz#M6nQK2IP0h_yL%AeArFVb*dUj1D7##b9@a^)( zYa$^MbJax&UohSg_%9#zjI*o*`kyYP8iYd%^gZcZTI*h@cdEnZbsJE%^a&vC_u@F> zS?pMGKn_ZhITl{!YR*so)3NCdF%mgVwq#X~2>b{de~1o@98GQfP=2Pm6yL7;rQbCde9Z`=Vn3y^D zu7+|TXAlR85GE{6hk*FyB%c4h53a$S-Ws{OCT`Ww3(9&+YbzlB3BOkd4jgcGb!Gpd z+576+ZTu>>=dH|4>!k6R=;g`D3~ENEdk~ z$C!L%RU;Az>o3BFR(YutyTN~(ymu@h^p>q#l~h#&n_pJ)WE$(*_-c91&rBYM7;;-S zzM#O#&t)qU)54_BYCXi&<0nptbn$C6WEwoVz{`JHJ`~{ERDI#(=>ueF!k$RxaMF?~o85k}jsS#ePtm`mwuQ7a)nEQ@j_G@S~ zF1>VEoHmzs9`S{ef)ZQR*ti+D4odI+JsSLSa%IYSEc1tiGr|U9ue-ZT1M2SBwd>}G z`+HjP-M4Mqc2G>r45evv?4)4b!`b>9q$dgPJCS&*>EQ+MjSBeGHR)h}D5U>Dhp2z9 z;P9S%?eg*Wn&F>6L*Rje?K{JKHmGrOa4@Nj;3cM~iq<1hb6Te#4JO~;hs{p*Rn#u4 zS@ZF)^6!+9d2L$r&kmc8+*1%`4n5x5hq1AtdYN8>k|)nX2Eb+?%FHP@MR!pB`t)>M zhPH09K#TCn(|=P5XWC}D_1?pWHF!lGYVHVnCKT{DWjQV$vmE0V@07c^eld|~p1Jk=**?BTIw+U^knlA}{_`4l2O zXDrXcIfvZSQxx{^ZmLhXrWXW2>Zpngfshb4SQDa+`BZnk_bxMGxwP7AX`HEHmx=(W zQ(v5YR{*63?%rGAp0J;dk3?>ws5HO6ZudTXy9RFW0&pPw#Z9;s7Z-ki3w#C0#7p3Q zv_Ck}{%i_2w*JT^VAST0=XGtDtP8-L@*4g2fYhac!0^I~_xwTCLx2z~QP z*NeRsD}OV)c=e=OgjbJ|zQ~&a48JcOoh1tYvWkg`K^J*;{`Fy~Py`>q@JUthva_>e z;Ff*|PwXRD3JysUU}Ndxj~Mkh>Gs^uLfx-#`rslO;$$99R;E3AyAiOI3CdenG&>;A_vFm z$2By32D!Za1#W@KJ56*;ArO$`BEW(|b>FfnaSbdtZ3vwK(6P+y>@-|lUIHD$path5 zA}x&;6%>^J-+$6K#kNsMX=dEI6+AcmNq%fldhFnQ!LNY8K;Xv|B)Vu!2+JN)&gm$) z+9QpCjT)90?o*1}%nx{D=f<1-cOa7i@khTl=%KDSTp%=SMpo89geTy5Li&kqhO#m**%!7xf}wj@T+Ci9TwT+8O2NGiax zsDAs_FE{rf1c3TMSql33d!#D-02u+kcJ17G11OIrJ+0Xi1Y#Y)=Q?U?6Wrx+9ytoZ z$DkLG%%(q|wbOd-Vhf;)1+{>JLfsXDbBh8=Tx$!9V`xeovaSbEgx2q+ZZWSPUj`A)%?>kBE2!J$xfQ{a|OFSzFG9?Y>}B zVkVXAV3&N-(U3EDehy8Ygki)jBa&*|B;I|o8c*`NxBh)@a zf;5ltU2VHwn1H^b#^*VYYGc7VA*5iD#jGU2JAgo@{>?Osc`p2>s^NwMipXW@-=CQ{ zqBEmu2`#AR*rXQ4c~@|g>9-$=g>2O8F)0W8p%_O1$mlyvlHymdSS|InnE5s0)$xsq z)AiYUhu{I72@3!aalj@sl)}=v&u3wb(-cdz{2U)Yg`7%oNQfxkW9WS#4BJsYQQ{sU zEI~o5-6rQA36{*+bq6vjA0LSqfw}wQJjO`a{Rorj?MMCgocSoRdCq-1UJHl?JJa=B z09*Q*OjcruL4P4Uq_fjNX#f5-#8g7BLKhJ;uVcnb7trOANA&S?kzeRv+v~k#>yEyP z)fbVF7=}`0)AeFw+-VETnFJUDk0c#PJ_I(JT-zdoE}=W?;!;ynvG9m_);|>1r=;Tk zs@5!_U@`;HnZspPooj7vrF-G;$UuqG1Ql|^zwX0kMeqK1+XW-1GGO(j5V?Z~;&)?;Xwn)ntI9tRd@-OHxCof`N0 zPX8UtVY5y+cIba#_K>5HjyR+wbFAC$-kkio0+QGG3d)ydfWl-N9u{_nVh-G+S}_lJ ztxX{Tr9dwLiyUZ2`>^5%BS+`lQ_;(46A=|yDtFi$l8i8@KyPoasyTE(9po`00nk&X z|8^sp>1xR2@0K<~BGr-1@C6=1mc)Fa1ki-kyP4reuJ-y>T5T<6Xon}% z)GFKCS>)yA(TOjm4-X6|qAYd3xUv=cY2Y*ws*o5=(dveI@~yvL0a-cxis-+SXx6~W zeEj^Z!QZt$nW20@md8E5s@s8^`}^7~J~yn(wzpIYyIF9$m;`A!!`}aPLSe(AAC$fd zbG+DN{s5#=*Ed9q86q==TVn!YcJp&#!ScG6Mp}|8IDPt#31?fpoCm?7zRWpQFl?RBoxH$jN(9d3zXu{|&B z0^z9=66xYYC6kvIpZ*`7kdlwTnrYL~AnSxLXMgQlb$j~*^2rseD__$mkWy|Mb@p6c zo)64N$pTdfE58bPLmb}*Erz43e)Zw%wcmg_YU8p8j7w=001If_J|_75gNVfbKmthN zUClKI2NCHBRM3E;A_-_7@9`Nx!TAVyLCmDJbpqWbk}+g~?)lD2XWb}oy+^14{l){a zt9|HF@vZ|K$!FK0T%d%|*{`mk@R?y9X=iH&Byl|yl9utC$--iT^ajp+41e3$n4=&Q z@ZjSkk+twbpfx;0EkW?^GE{z4M7DI2)#$k3a|$v+*wZW;UP1Zjwdbj^|JjUI8t=BC z60{~MZGhq#4OgBhLSMclHCvLJ2H2*$8-{GCtfI1og+&EO4brGAE}wyD&AC#doKG+x`oVRcTQfwg^sBZu4`)&PG5<@`};3h%IDq6JN{`wW( zUg#^w&_D8uiiBroYBh9yuw|%DjKLZ9tvp71@}^#9Dx}-M7-m2LQq_p6w}@U9_VW&h z*wZ)X|0Pdn)-L}#>eCPq6jT6|a@ej{-NofFE_q!dR29<3Y`(tSq@qQi(*C=m{15aE zHp@vIz>&GXK|jM6C5!-l`>y|Omp79{6y47@;K3Tiu3C%iF8uv7PWJ{HRrEmQbM>g>KU%9_`8`VPJ$d`&^*5wNWbeK6X9yzkOeE@I_u`(u< z8!9TQ(4X{Nhw00V8=*TGT5^R?7do1N-P}@5A;OZVkQB8&3=ya#cd*mE>8fm?eh#Sm2eY{~70618_uQn_01?vkPR!1>O}ecdM$=iKE;JR6DHKzYroswyON zFhQ`Dj*bqScN0l1-G{hY;5KuaD9}nJ$pYlB`;-121x|H?erZ_h>X4+P04HP9@V6g7 zRAJZSn51a+KS8d;l5U7%BA~gjKry4E-uqkmLaL&FUpoY6u z-O*9hRA`B6cLEfB5gEwir%vs6K4Q0W&xnpys2}ZBcCJl_Ku?gV+c;W|pm9Nu*BUZo zwFm?QMaO34Wcfr)|sAPm1yScVx0 z?xU!#uKuiMr(kwSccW3!)iB6DgmhwSNw~PU;0V=3JP(4Me);lyKu8V|Q-6~Rl*aD> zdf0bJ5uW!8V)TM^jK0OVZJUk3`-!v!Z&Mt1*momI_cRb>0vX)6d2n!xqr(5lmH8B|chCty*-THjQ^ z1n*YFzF#3lG8>X3{7817FfbZ{DL0hghcK=Cd)tDr=d_?A!j^xF03LS5VMI&j!U3}jX>bfAdQ9OeOD#?F0F)NuZBJQ=zp!lCa}J zKQ=?^@^5BhVq#DPlQ!h!e*`wY4bC{Q4n2=7J2vyZ`}c|XfpE_t(CV9>p7Z030gU{r zOqMKgcmTt?Oo9bfb2{o@wa)V{=TGOqc<}_;T@on43{#Q-EinRC7KbzByW9}r_7`IiS>Cd@xUSDu17A-Uu)z#F|b>jpG> z6!9z<_T-RTckUogde|yR%LMkYQ4|aF5Rseydw1wp2~dOUJF1hrNtyt10OOV|Ng(ig zP=X*M52GR?=aE5!YKF5n(pOROAAvuPOOu^x5W95g(m~{6!J^t=lsS@6ETnHzanMZ* ztDfb;*u@Fq2UZf5{c}Dz|K2JGIXo~z4<1D{i2CKrm$>n9*aiKgqbKnD7#Aq#lSpnG znR6!=@ayZsKFf1#_<~2E+-u1^r?msIMhs#LD=X2|As@bn3M?kZVa=GjYu~=xxakER z^H-7SeFw247hqdP2obIiH+6L}MnitK05k`@Vih!_fP4P@LPb1SDyB~~Pz&k@n>$ml zAPzyY?i;uA6Njd-YOe%Q1T33xpb}j);q}?~P#H-o(uu*@p#o=cpDrnZ;zGxEfN#eR zUwFmo+@HLLhKBMG6TQPD7Xsc0R`lY8Y^+*lyEe!$1PP|=_$hwmxeHht|p$^;5G zSk&kJy`b@kS*8C*{=9!J5MR>I77@Mezr2CHe|j!a|6L|~Pbn%=!I2_g0dyU?ZbHLw zu)YA_qBB?p?e?}dHUgj`aGBJ_ z`+%?pU=yNZ0Jub}PYWx%VfX!n-$Qt3nfC+@};8HWVKkq{K6u0SQ1Y*Xd z#U*oU-s1V7e8`fpu)YB{@H_14T}FhIq&=gA3>9;X%M1#w9(-8Q+TovG%y*NKnk+0x z8h}UxR5Re{qz`)1 zB*=AsmkFR62Z!I`qwq$C0SzPnoV7sbLV|!OO%SQbuWQSdOaLDYqWh4D32Hmhf0KuL zU?N~czWwmw8GQq(6-xJ|uysVMM3^E_79qC}-Gu;8GrsUwJL` zMcw0_c{kUrU5{~4V$NPcw%*>(JRS{uEGf+u#S484^EjnI7S(QiraOtbz zei^=Ues(V|?)>E%bPa7Zt1OZ$z>Y9?iJiuTLn1T|L8$qfm{H;>DMK*M98-+23@`3g z-t(>s%8f3L-E+t+559=tHIZOs0*9>HG?B}x`z1NVyLayiBxST9oJ688>_yiP@4gHP zG#{!Axd3G2_67(9Fg{gQO+2N1>C%7cA~d)m$5KEzVk7D=q}`RPMRfcPq_b!VJL6}C z&pO7i;-*BXpXRIU0fxa?fEZR%@FADUo>PzgVP&HP@1HSykcwXt^ZM(I3S^Wq4kU1Y zWqGMS-%U|h1Yx9Gh&u>()S3tf3&0jX0$w~ zPbhuCwL=bgf#f+F|1?wqs{Y~OV?eI}gs8z}@&4uhaji8cAS<9=6H$Nd;*riV>r02e_Dvoh!s zFf9;cfohQm$cu#KMKiOiH-2lucTCVM2!+7l-JNYxifBo0KcA&xo~`@UwUgsIS}H5n z=2x$N0_2o}NC(D`Ifh4=PW<-kSA%fHze?C(qhAWry1vnB@s+U3a+a_{A6I*7|L7pD zNmf=C6iA*zS{4R<-y_6D2q(t3pbO$0B|%w6!iX}jclY?oli%@PAg20X(yqv%*dm(% zmPs;jQc}@qi{G(aAc!PNj*ifcAv0|0!YY>kzO^{{){&8+3Ngh9FWTdHlguJS{VP!M z!Q*jsae&R!(*$U7#3@LpGybp4K4fL2(&=%|3Qr$BwE9o*b7kcXgvNl3a25_mo;5PU zReY$eee?G1(XfL70<8F!vj6K_qL2)K|6YY6Q37~Ns=`}{kqs=A(n6bL0uHKj{Rmk$cScO(+{ z_UyS2Qx5G2*3{Eb$y>A<+0>~gv#Aw>m+o#EQG*q~9-)pv3=%0}Fn}Em^+(WlZ<4#g zKL|Old4ony#^MOV#P=!p@>tYdSOrB;A>0cQP`isW0slJ-ARWgbAyFji<{r&xeiR>c z?0roOMMX7OTOb?uI#@3>w6r?~1kx3jK`THy>%`vCT3}K{Reot{iEE_-!lgLU z5~WH^19v|ZCJqi7?eKSH7Y(R-w>P8`9_iHF9MLFA3Rv*2wI6Q&c5M0JWC2zA;U7Qp zkp)AgH5IqgW~~v$)c=78qjOuH;$k-ccR?*XbtKjOv$FO>w^cRAbPkA7hWed{j~}aL z85Pz&8J|X3(C@#tZxdeNC{eDdVp7p+?zKOizG4iJ?_7yvYTMT`r{UA7u3kt)V(Ni^ zClXdzsHl3&APh(2R0R%YsT;10={-g!0V!bKg9meUzp^AtqQjH_6%#8scc%!Jznas2 zlzjyA%iFqinFAp0>3t|H2uT0Q=XV&`X$xEgGMHrl=a(U>wAwN|G}M2PLW!FTzaCD! z&d(YFJB(}&Vq^;z-2<4MaxFm?=uqIL$uMmZ@JP`PZK7)><9-ltj{*otI*%}7Bq-IJ zFn!1<#E~O;8+b$lb7ql6gzd@7Vv>~xZItM?n|t&yWrk?aPyn0p4k#^{`nShGgm$PN zjaD;!^PR9r$P@&2MKV-+Kom&8YI6yYMQ{xyy?}zQA2N3lW$iR1A^ec!32@})XUCBE zslosnqOCs=JJeljQ)c-C=ZjJBGLFhk0MMXtj-~P$}nUKkN zHaNa^L1IT)CnK|_)|(p!M&fnIfCc8hXP`x!(1D~B_v zl^NF@J-S7UQRrf-MX&t7yB){r9@*bNnBes1IbX^3cs{4exP~~lr-rUefA)j*1Oj?u zD4rGp(L>q)j%!6OBpxe{SehN(N|L|8C~Hv{kKxeT%1ZF=-@jkTAeRCF3s=)ZdRs__ z4)81#Y!YYZYCM$=0F7){6*woj$}J#}XloApkmPrp$NgAMakw90A_17Ie`tsrfHIF= zkJrk$!h4ggt!?NwDJBeB{r9HrfNr7Sd*2{OXliMhNXK3dV!VOf_Xe|=fB*hn0K^;F z%n`z*^J0V1aVYL|s;a7(22sUuCzf#7e2q( zds%u}L}??7A`KvQAj;VQ%7vz`?j`9bmxblzxFLus;Aq_0F3$jx_f#oaASB#!^9x3k zf-eBaENJg!_zWAY<$XbfrnYt^o_N5>!*d6_R+O7T#eu}2Fd&i(U$)DYl?mw-1#D&v zI)wsFl61A_$D^mTm<#Zp5ev9gu(Sg(>t>3?J{gL9^5n@QhTDHtuUy%SljsNa8iR%L zpYqfEsbW3``uVNtt?&tl27rbr#?3SrHa+bKpiKi&zZ%Y<10>MDyMmJ6QEb=H_yLU& z?vBn=i3Z>Y3e^0*fbkxJ!)P`byerW^nO~ zLEgy4(v4PEmV_a1Jz}_(oUWQ|adv$iBKx?=fc$(>WJ{H} z8h0vaYcs)+Av50R!y-&$p(w`7y4`@S()zxD2GJjJym0OA-Me2o@~YgD>{|Pg@+v>k za+m*`h6Z{BK_Kn;-?%~5%B%IU2|F|?C1vgT^XHXSRa+Vk?)1+-cU&tuoG0(pFHjj$ z;LaOr`sW!40b&h+ll%q{mEM*SjoGs8@ENE{HFaebaUN0(Ve%4Eqr?tLyaOMzVRa{psccG;qWa0{*rXI)woyM7`3H_o={Q}xrUI4=yC4|A zLxlTIla{8Y@0~jg=%`awOLZSVs(5=JIkonWJf4L@kUx- zcf%al)YA(@&{I=lMA^{XeE0B%5QP6OaI)Oc)7HL$gbE2xVLz^JPUxJOp3X%$5nYY? z@#Du44;~EZJZVUO{`?&RR){3+nw|{kqv1s$X6+Hr1qu!g*6*-YOT!&|tzMC?8?$_a+j;Cwui-Fj-Ic^A%PG8wh1QQVk>*o+Az zc9Ouva9`5%=iTYcr9P`XkO!-vnmQnCC~cD(O(tiORc>FzL>SDT*GIn^zjEG)X_K2E z$*Q63N4Z!`0~v1sMUi|dHVF`#W$= zgky_oSd`p*l$4Z5dYYOP?Aub$MeTmNP|v@!8#y^SF`?$0k&&TLpZw?=X61f$719yC zAV~4n-i=+ZPhH7FHgJi>&0hi3zQg1hGEGyF=cF7X1cTAO`A5VdwtJyI`pMknJQrdWzpmH!w7R-KqL8RtLQRhTWm8I19pQ)h zRi-vz)_{#nB|5W*78Djz->#;*U3~)^Q}@gn5$6$2JVt{Nx|Vv-26RhUzA>W*IR~K; zc9wg|w3-|Y{JeL?dg59LlMj`h!gd)Kdhi{@pN<+C8I|R*1>R@T>9jeFoe<4%lSv!S z$CJgUs}^{|2=c#G5aH}GJD?sbxdo)#_t~?(A1(T5kY(_@caI709fJ2x##>*fvQ+@m z_>PPRc}fvtF0{y7We+FFd8}u>9RRRJhdq1~ZU%TSErleZz$bW7d^T;`L>m0|BcADb zvA|&_fG8ASM6>*=P057BjAwhx7u*HSGiRzX17C7=Eb_qvjDu{#;Y5Lc1HuQ@QEzf7 z)2<>QAOM)^DC99-3`sz~+;Qm81H8fh;tXds_?3i?&1Sp1xgAwfS_{k-h{4D`8UhsP zVkSW8Xs62XV@zypLL(z1-OX6_K_!U|fKN<%^28s;=T2GK()S%8Ks!Z6nGh%%oRx+~ z7&_yL;}aSdM!pc@y)+3Sut@4<7V|ZiPnyP+h-1FU_{i9XlV=|C&>$PGJTi3DEZU+*}qbMs#)JhBGE7 zYb~!_F+tsdpc{bwfJgTPqnanCr_(@4!)p3xXCDAzsr(Z7(EUJzW!ztEmym%l1+FGs zo)Z3TMqU!?*LNK4Lw^nezjI=5k}eEi#7m;PgoOi~| za(mGQ(0SC~0pv_D|9TVeL>`qfFkt%08Z|H%Pk}=Ig?aP#Bg(kgH5BB&ad6&(%-CZ< z6*Jt9y*er?)F|hn7;W0Ickf03K7;&Aw>m?|t%>oI3|xRWRsxDRe6`zPY=9p^@Ies~ zKWseE9-QkS1a=+cFO<0-f|_?1O%GalC6ZA7j1)`zo^|CbO)X7LZ-Bw>Mn$bhAQMh% zR+q}N?8(x@0E;)U>Sz>sfbqq}#TV-$_mX@n(sm|hW@|Begy{vxm!w6baAW`5Ly9GH zo2Q~~>PO7Z&50n%|EYwMzRLc5a>-^S&jnAELOC>r#1i}JOzMjl%s??g_}#00F#`=9F z8T=rSH}Bp>6=ymK35?tf_>AllSGP^{Rct02!{bA@XTIO=a6h1C8Hc)(Y^AaeU?>z_ z;x>YbF(3KiIPv52zRM*SyQ{iN5fkYYJr)tiCJoQ6idS=F2XrHWXEM-T|g^C~U z7;cUwlI&O>DnbOAHBqGb(9pmq#CjWi*r|*>2JO<@8`Op6MSuS+ElinF`J$IN#tRDy z?yRe;BS|o%B9YEWal{Ky=8~(utWpH!!^9fZ&WY8N`gx9~wEVq2JK%~Y9 zizzi+CU~X>fLD4r53v;{gmJVD4NuT4x`&cS8CbuDmY$rLsDL)nIJ61{GyirD#FNnwOJZaZ5t|l9#VV)n*5Wdy#-wb;*zO8#1?+l2F==3epIVf*T^Dbgk6(8^& zA@OhSSxHH}9en^wN_bUAj^T6#&l?zg;*voY7}76Z(bLyIcJ$~P3i$jQf5wr~QHQdp z*v#la*0bKNEiL5dTeoigG=pxZjF8dP?{7+<%?-u}%ajXj9!+g+ zHqJe=7{UZIy8|}D%*K{dS{mzAl%#gPPf9p1-#{omBO@8WFSZ6GstKOX>9Td@y&MF- zLt~j5ZQY}*rx)_E(?gMFm{mf!=Au_$+O1m~`|cb<@h8s!nkjnqN*bF{3k4T_q#w#1 zYEBgji)0SypTL0w@3H=P#!isc5)Q6E9wLAudK0miWGo8y5!~i}_w(n6GrBxqlVgq% z-jbhDK;IPm@gP)gtN%HRJ9F2Qpp_QDEO`bYPp0%O*f92SLd?v}#V^eZzCa8M!q7wE zvX!N!xFjp~QFeu)5UT|}OU%dhx2wqm0y4``;j^2UvfOhHExORhgodhz6;1r?lAs_K zT?w+Cl$1osHZq@g5Eo#>vS*83b|`fCt_r!A7YRh@8YD3WT~~X!DWuDD>5IOXe&6SZ zfuBF3;1j-%N4vd;v$qakjX)#B^$VlUo^kOqTej+Yn!OC&c?0?r0pf&kfXI9Uimn2< z7!x|Ci^v`$Ix+Q|uOhYe^B;1|#=mYq)>orBw+biWB6O+tm$pFCVN1yKNDv2&%!J|g zq1}Q@=E_S?H#^YVk#kvyB zeKJ|kSz2lsfxaH4d5c>nxpm9pQ4NjFHix+|HV}vq1*ISS_W0@3S7#kN`^LT&36p>f zCWG*B8CE#sIOMU3tIBlk4zcjXc<)lv3`SrQQTVct5$CnwBO}eDxHtAVyIs z<%fUs$a^;&f5~c+G5k+)j5$k(`3#qz`c8UU+DfFo`uqDS02$eC^8KsZV_VoOIs9?iCbpz5tRW1SB9*jjO99kF2Yv zExVeN*12=^P=gTG?ni444hvHOqmN4nii%=|<@o#87cmgLz+uCluxBw)4V1un6%`dh zLi|uM#6RR$7gkSC51qtQENMZIt8x0Js-7#K0CWT64!~Fyh=&O>UpQI55I@o+;vW7_ zy?u<2KyrHuyKVhY>IHbc1estb?ApDX8mTSvpaH$?bB1Gw@wudPV)ExEgcA(%<{GgE zKHaH4S1R&0gO(a9WR0Nz$+ueh5ea%Z3$t&9eA(-F5@O7M(mW^PzRje zA8S_z`bBhNZ^?i*zwMM2aFtSlsec%vfnR6F=` zNoi?8fcM{EW5_;efAmTU!B;%Kl^cim9l-n)79SGj^S6`tw`1Ha7?72mX~eGH;_`_t zt7^Kq1>X?Rin|Gx64KDy5Lw%P*rwAL!;aa!CUe|3=e!caq&`DI4Mn%Jw6^YWk16Fx zEg?18bcM1w-Xnl=|jy3_^i2WL`JChH%c)Cv27}B;W;^e?B%=VWe50daV zp1|0WE=9MAJSGCey$cHqG%vQPNg~<10}ru1s$?J#qEB_c2P)|tokn7?g5m1Jo_ zOrt^x*^9CbQOS}dOSZA3k|ZPI6>{?Pj>4SV`t#@$Df%>1uCXL{!h!=OyU3e@yz98 zA3u6D>*mw`>M$wNWPSeZ6KfUizvoiP?)STwuO5B7h5?qss5hgs`WhH0_U{~TQFY5G zv*W?Wh8T)bRbSt4^S;L#t=9j2bV1gG;gqed+o`Du*fU_j*)EIl0&NFVL)|aU66ZN_ zO+~-WqM_xks5&?}{K-5M@>z?83nRzg)EbZ655KmBVK?JuT#RWrRV5~Ebdd2TQ%*;X z+T5f)#P!xz@|0GmPLe_){)Wx{GP7v;8;xyfT}lqcex+YWEZs*LFd~N~+HD>tW^qDi|aBPA?@>n@69q7DSRYN0>T#f(A zF2Qt(be_Nc*4gb)RxH3C${jbvlNV2}KJ)0n!GlGO*A$@A=%ON%->jY?ovFwIF^PPV z=Bwi|^lQ*h{wK2cojBoiY|J~F8AaM$8muw^<7|@QY8t3sp?gkzj(Miy&G~1_H7Yh% z1zMSsQx#<6Xl4A$-XP9;xw*Mg?^C)^{$Bd{f=7WY%H`_{qnb^2j$5FBNJSYagN{rf zAsK*jH(XAS1^+CM5o#g_XRl9acC$)LyD|Ffm^6n!J9g|S8+Dxaju`|?UXMynOb{wB zgKRR+^b=5?AIE@jnFP6$=ujQE;qTOxl&I)v0cv6C)Pbtb)URoR)jW@Y6Os4X+)8Pv z1}#d<;GF~jhqfqt^(v5V*R#PAHYPOsdCGta5>?3#Sx0y0yjt<_e;Ax3Dwci?qvwP;Z{z9qTA?PBo@ z##hwM%*>4X_H{yXAoWwp)ARJh5%26mFbCKp(ciAjO4tE6fWA*oDU-XEr!JNt- znfLGC4%=aHH+{rs5<2_++UgSp^6naX3Vz_9V^$b zTeq(N!W3=99dhZZNJiY;ocz$k&CRV0HW^$<{4r_0Rd5?f987{n*D4<7qBnxU@jrNQ zwr{s3$LNFAX3Ut8=+Fk{LY%QiZT#3y!4p_kiV!*)!6msDh4HfoCH|Oaq|gLx*v6>` zNb#fj%=+h_)-a{^vu9VjdvEDS*5{=HVq#usr2e$<(BZ=;0Gi?p<3N!wyUiZ$x_EI5 z1;Xfdia#25jE#fjQ&9^EuT`nsT=!xE07?&RVDLl{3Jl~9!12|$jN333^rDu^;I6@0$@+cS5U-cAG_Jxom6 zQ)T>+J1{M`!THR;U+R~FH$Zc#L*=?XywH=JFz0OhG*nECkCjso31(cfX3BysU0wiO zyA_^jiM%2JLQRD04AQi#`~qJh!#&&+R91tLe{JVsqYX$E-9O+)++R~ij~*@5jK3yI z*sdHEaYzo2h)@M8K+TFwY^bl+9n%TZ(d#mgJuNI)< ze)i3qZF}|V#gy5L`4e!*yIya$cQ*Ye_F5e%?R74Wwl)dbl$VJAiBJ zK7HbYPMc;SlaEiHKE(mjKPaf9f}yGD{`$kz1&Ukgr@%Rwr#B>QzUrIDsNbevQ-EC` zrmP=QvRqhpVkuo6hy)H-w#;JH`d%;I^tEdon%MRV1j`;r^A@J~SSakFx|sK=0x@}@ zMz`A+R{`QpU%2r0`diPQMb?y?Og~FNN#iq8K7^GBn{f z=6zDz3i=pQzYZBsi?P!0+;(;-Eg`^M{%eYjjR8=wz7V&8j7k#)7v$;l&&9`eBZBnwuRXW0-T+xM59~goR~KehKAW@{ONs8j zX)}RAz=Y)+Im!kD226qIvQ<5^+4i1y=%yMD&NxfUZEHMc`kK=wCL*{fK2A;VdHd%S zn2GKnyQ9)0e*&9v0T7K4n}|U{df2!|2@@t=c&0{jKx1-#MfUi zrzhS#zZZ;ZC7ga}^#N>~CMK@ohaF(;w=j3Sp;4v^e?LpYn-kuxE z*(|=D++=X8AwJD(`NlDf7&pAD`MUfixo9GJ!u{J-8R`ZeFa*J^81XLf?*03(8vFMN zIbQw7Z!^pv;DHJ3@NH*mBhblAvdra$kHKbdrxzC&w@_%=vZcaSnh@=ue_oyX?7@SG zn)ej63;dMe|0>9*!<81?B>j(%`Gs z!!may6pBphh#HT@6h?|s$bQzWx&W!Gmc+*K8i?A$$K7gcM}Ca z^lUEf2ko`B=hT?TeXM`0eLnX`v8^(*IC%DyDPff!x@M{ASDvlG`?9}S!K!IAwc?hR zQBer)Z@#%nl>&IqoH^Y`jnYN8cMTvXJNS6Mt8>%mx(BHn*IoQJ^P91-JP^&mH#92) z#Pkv#w>Z$CcHZvIe=giIh#nZQFo>c^T0laO0f-+R$mzAWynIW27p$)BQVQolGwVm3 z1?x}({M#BC+4atGof!?MqN_*#HfBq6C<+;8E)VNxpe*}x@{}a`-^m1@XDAex+|g9< zE%}-EyC+yFUWty44J7KiFJbhwq{~4(y98jOce0!?p_RM4J1V~kpb(_s8r`%OQIB4h z9NtymSe-@A7Aro)YT_}8WL&Hc1<_tVh3yR7Wjmca7d3MmbCzFDDQoC5_c&3oobqtK z^Y=bB_wGI1dcUyH58WW9iUk*!&sJE}`w^1es}@7f`>|dn(#(Of;)t^)~|E;A1Zc-|6IAT)P zLgCAoFN%}nb0?=ZFGPXOnG$DRY9&RX59U`6MY5%EBwtV)IGGu5*Ha4|9lf!$$Iv51 zZS^{KRHA8<#{R4MvoznGd>ab>Jw-QW%}?aw3k7XnU!eHj6u z&=)Rbfzydu5&}ULz>A7e!?0a?Sy>6pvu(}om#~N}8B7+rrJeJ`tSm*+_jst_6924R zu`mZA!fiiqeM0P&xcKlh3f((%*#(h1B;aLpOV^hH5)yhzD-%`01Bd_mg?rI$R*6(OW#RNZdXZh#`;)0qE! z&R4v&<-55Q0%_S|{uF5!*Az?3fl$4S&gN+D5ke(oC(czji|b##c@xUJyCQ4oMiHcP}JC^g&n&+jy&VP}a~`l*vA131L;i>sccv^bLg>ap42 zF=M*nIrIF+2dil(VxRRFm*xyQALfjM7@#UA3Nxr|4MyfO5NWhB`S6;EwMptt3}E8j z_2O_jDla$eA@m8g$k|Ay+o)8K7~U%zR)J+HxRO`yvZrX0PrYTHB#6r+);-ce@mGPU zJk2gO9Y$vzvxTW%hJv6p3(~i2k&+#0B})+u(!n7ZYFzB*rV8E)uGfwvRq@7|?q1Bm z;3!nUh#4(YL6W*D_&qr_^sL8FL=BK0UR_!{RCQS5;&Lf>1t(1$4)$QsK=)rje>MD< zU$8_{VRk_wEp{TFd>s)RIWAikj91~kE1vngpPyW~k?Nj$#-c#>g#zBi9n7)v4mhY)ZYBFK2@ZC!A@nB4wmW-zlE^a=<=m0s7>TzmNN zXEbN!n_^QOFErOqraob3)o$S{C~xSlXPjOC;OyD6;TTbIVAfoSR#>#^VXIcHoOxVC z=LdCV0s+d-haE!#(}of;9g`oD9a`01Y!P$j%-r{%mo7wU>O^5I>OE`<DmUHtUD>C2ic_I5o?9MZc?fA=?HE_IFq+*dSghEH?Th|pwqP@`1)U*IN=O)u8CWCh%>IlKag9^QZc z-!V0N4;>1YwL_y??{&Y#zyoEMB9c9)ky>2XR$^(~WuSp7X;L0+7GjLO8STHF+(WYc zGT3zgiL?@z?GFL$0tB?8N#jFY<9~hL>Bkr?wyrVj*@lHs+eFUCJ&^tpmyq2EkDhaM zZG*kgcb}Z{$K=1hOh6QY%8YbJtzNe>QHx2<9S|Ko4}R7scM}qNm+Jl-Jo3! z0ew(la(^HEwL*vU7abqJ6FsnKi>nG0Oy91XQsYo>k-pq!4=?=ft-J01*VN)_>_~d} z`t1Se=FOoVQ`}NtDl%d9KNI z6tKO{%$`|qXt5=FS_+Xqajm|_LPlk^_#B%;cXa6Fuc_Rs)i9%dg7b*078RN5Kw}#t zh(hV=V`F0#2i?4PPYZ?vCa<&4T&-jg55g}dt~E3YIc|7AVQx{>rgJmvEmg(2SKPUp z;Aq31?Z)>VK+zvHZP8=*{E1Ld{I1fHB^4^?46eWp$@AputLe-g6&XAJx=5+|*8U4A zV2pE<9PB^-7*|#??Up14uDi^x12Jc7--MF~$``E;C12+wonou!S%-JCnLHVCur>Hs z(wAFlvytTC`mz7uK~e0FNeSIRp2v<-o&2J$qf>I|-INFi-%lLiqdE4gtPh+`l_<05-uB%7(bJLe0MRiSkfLD)>THgUX+=OA3)w_Yq z^eCxv8b9u#HvjP9gQJ_<^}qLN>MJw2BgHM3=gWmVu^&KBJRV+XiBDq|L&VDS?sMBP z6bJy<4SCsj3mpng*s_9s(R#yTYt>A?KUZ9)#QcU9(5{K318zu@ z+}wH2h^G5wd8FqtGV#3sIB+wJh@JV`X=~^=7}Ik`j-i;Uj>m^HnMl^2P`vv$PDr3r zk-JXZ1tLTc-1C+8O{D><_@HExHCRcum0>BfxtF=#iZv~w{Oq)0G@DeY0<#aAZw@8CDs*kohlo~C)C-hW@1~Q^6RgUd-d7vB$sU3ym@Wp9}J6Z5k*lU z;|2tm^2*BIwf`D5i((oj2=iWjYIBFwHrR#JaPx!9vj(2bE+NI^aF$=R_eqneC~?y< z>esJmM1QS@F;0bB(`X|}Hm!JA-aNUS{LhUgl)r_AnYe2NkW72^JLtXv^!+niKYrl< z14<}7zzi@F$|OV`{?j9_oD!%OZH8pJDf1G+{~*UG1cIWXqIwND;yw?dg7D$EO+5PJ z+M+rAJCi((VMeIfOy^$K>Y0%3q#DEt7U>OqQLk?M=8K?e!PPAK@7QG>XHcdVl$1<> z$Ya4)sbT7!(hXP>2sy*pPdnY==O^8a^_ifW$v8Q?xs=Hoo+q4QBp@eraRGBw5`&VKFkJsUp@}{#? z$Ku+Df08C_ia~9=A$-?yjkX){vrF0dNu3HX)GV?^1}PSWA6D8f{Z(v?8O4+g3!7_l z-$y0w_P{{{2ISC`zP4A_-@k9466b-QF@wcbNyE8Y@GyKmuB(0z6o$OVwa1T-)O9UG&n|-tI1pMaUaTLJWZ%S?><)@H#xw>; zhUYzc)P)CQJV%5M_qtnutsJdz-K@H|1OA}LLdx6OHYhvOHQ7S7ef9i9`(KYl!G@Sk z8H9&yDq?s2weO#eCTcnp!cDjD)FvvHz5I-pqI1adh3nUkkYtIFaIjt*YZJ?t8=|<6 z#%rr*qAht&@U>iRaArC(FwXKd4CJcpPj`bCQKp87u32#A#toiAn;4$8?o811n0jOPf8Q$hgBcMT2~B*MsdKI@J(co1RHO9sGe!?#X>5CUnx4Pwx>;0x zeLWcQ4vG_FJ)1DXrwO}Kkj3iIgE^y&Z||>PGv1ex{%%r00mv*Kx!*OuZ%r<-wTuBk z@8M=P6DMYnHe05>8P${ZS5!r<-}c={ppwBFW{$;U&4jTDv)19u#OynT`}`K~cH=DB&=u{-k*V7#*UgJ{3+hEGx?rXfCYE zUf$_Siv&8QE#<>DJd-t1CN=mV~j_(Y)t&nYx7RN9!0d2=> zsZUDiq@^{Mcx>4FC0iDqF|!du0r$&0-os~(mR6qFLc44QEL`Q;#b5Ksl3AqXCrifI zc(h)-d@=Ja(iI{A7sk(^)28j(4pMxbh}IqO0|+XE5E`K#a6) zixi{c59w_bc9(`-bm)NVOGj$OsdHDZ-?{VC!+=Q;1|d*=LT<{WMp5~W0ifILM#y^h zY@y*#HVnu3aiN7nArtasIs^%J!^^w8a@us~-o5?%!h2wXAh)!;zn5wrvAiI5icajc zvYl~{V;P7RzK{D<+CC>i$4pdXMnaSQ+<;8)#XwHSw_N>$0-$7t+(x9sWCGX;bdn23h&WoIkG#o6M%&F#CZK zcZDC7IUj65{8whSoJN83-|5OF`d8zVNyO=bbBo5vgfUTT71|20w4f^E&nK!k4D8b< z7*slGc;57xouaG9_Zjqq{6pfuJn7KOyC|s91E~P=T_T^$myU-@mQC<(ItOex};6`5(CD!owNo&|Gj4bCoPo2cYaR)@UBc=3CUin;e2pm{(u;r9{Qw# zep9Bt{=?G7Lp8tC4=F+~+YBV?+;+#0?@Kk%$UvXnnxb;mP*hiFAw^8F;qPr08eK<8Jm)Iu|F$kC4iR@bSy8wN{C@j( zxVdk}%mvzdN)mtY7byd+>iAGMMXgXb_fqR*g4BoV;MN9&GFmDN>o|TPZ#7hGnoJ%kr4mpXL$XfTcq~1~DM{uO83q!_+cv1^ zP5(t{x)3Z*2iC@zbDm`1HY`5h%H=47WvCtbo9#b=Qk|GPLYo$)rKKubf}FIvcAHXb zRukFSabRKili`WeeM1|@wo+DhgyBD09CCOc8Bmn2v}5_P`n{Q{^O5dSR!CRbA8wa_ zqtFw5bS?oGvE{(uI<~5@O!hKOja#cI1sq?AIMM?d{OhN4Yz$5AZf*Y9*=|j>U*cY> z03Kzo$xdFUCr>U(_86r^ zmK(^Nngw-&L2$Ur2OiKm@SHzkG=iT8DC#SV$bjuEMbSGh#wF-5Q;~nAvY0wlD*H8S ztgyo4$vQ@jBx|RcLX&;rMdil11qGT+J=NCN$DGMk_MpmO2UH%#7-8PTpV(ZdT*x zx*oE2!rRC)!1ZYv*E9rqjriMF*=Nt93X}82ba`Rx3b$u#P8byyyC_*HDJq^vHw&fa zH#F+|Qoy9zPoMHAH-vqPz1IF0usE65!+|s1wUjFkTHx7y?8uR}pbIK7?YlB{E3>ss zVHUp8xsy>6t?LlBbly~DE9!X}iU9X7idL0fr6l|pbTf?CdHhwcX;gUEaCCv`d*`=@ zzZ!P1SkHzhQEA{pCDt{zK|RF1AM-Aa!v~ZWZ9ImBNBXF_ne|C4H>b_U(^v+MiEIKPYyQ810644Mi7GBk4i9-aW?@q!a` zkuFGjdHou_pf5@j0=T`*X42-NN|N0n-ovMaXet73k|`X?mE7JBq?;g_mSX&>%6{BD zN5}4vCg+)|eB_fDMA)W;R>U|N!wO@n=;DdpM;AEkQ|XPdtjzY7Uj1n@4e9HrSBKFT z6Sl_oo;P&cv158TDnKhpx5?Ann%+Nu<=}n)U&A?4H@rZ%rggfANT4x4G~JG&Ig@nG z^E>Fn?fyMIK0n(UyH7>uJu>1SvbMKx!@!J<^>$4>)8$I}yLWcUD@`>aJsBns2EL8K zoro`G?_f0yAa*K$nFUfqi;2XLMEMe$B4tBENNh`wt>7Hgp?LnC!g zU$`KmIq5y%+auH`xNzyqAa*$gQDK!T?!+O;1sS-auDHwNV_#m==_Q$T0wI-}CXhCx zc1=mXj17YD)6ln|vy=}(#*|w5?HM8TP!~ z`oHT>HKwGNy|34Zo9CGGsxoGQ!kz&oU(4tkI{&o)c!+1EH$WA=Vzd!K! z>-y9`W9AN1o~m0N++9{hiM|f-<#ohHa~nImKqQO*=|X1?`DC>;mB+Ja(so6ZaY`I@ z`ThSiBB}@YMH%I%s-MFy6Oz|SfB{ElstihRioXP5AtNs@Xz0JnWn|pfXk_wlOjF{M zQOn=W9df*ZRjYadu-f>WvfvqLVKd9G1qnZMc(zUkp<85xaC?Y)BpG#q{-P@Z zj?y6U0UHj{o4#GEb7xC9T#hF=;o_0HNewGzsZ%|_uC5-e*Wrc89C->vc?#!7&6`w= zyD25)3u1`Ozv+pihG7i7lmw;jEv^PH0&a9un3aLX%)xdJ?8ltd}Bk#6qo0n9ZFp*aQYMr8~h2T(MF61bBA@c8M0sX0e$6SN5`?V z&11C-qY_{6&nO*R(86vD32L$8&(DgSPIF`k99^K7rUE6etHMtT?oG(^@vTYz0I)W_n#y?8j0! zbP@-LqG;306j`+DmWvi0w>$0O#63EiTaTGbK;uAm$*}=|(#tBY%N-Ep{K5Su05>qD zxSNu!Fn3MIuVB9;!YY~Q3XF+9+%_`N7*3B?pVglI&tryXkvFbb3ULXCNd55P&m>Xy zMea%3^3K#!p*|5D)biMYn5ZZPIBxkNRj~>>ao#S7Bn~t3+Fnsbj}cVy;{bbL3_V|A zs?~6ik@HaVxT6+WG`70}Suf^EvSJDpou=Xs;6O#bZR|C-znI#i)C^>&7V~9d$ZH!k zGlmgYs*r+bOI6O|5rcs5e-M)?jQS}cvZlX(Ln$(IMqF}>DXQh6e}DT}sx>4o_W^-V zY*K`iV@2;w5E7y0$e;x(;hLKF6Lhg`MG4Mx#eB9SsL;8~ODf>5#$zBXW1q6uMH(OK zMOl5CiC2>+*(535Zu+e=$qr(~CS!*~BLkF~8Kd^15`56#t_|(Du<^77*+8?+W26N= zZLd~QTUY1DriSL`ud4vSGPs~4+Eoa&#?P1kxE8L2W#C9#YM`j7YUd*5N21p}}ga#WTKh{}q28WfWe>Oqa& zcyY1W0oQZ#jRY3SLTzLWuMQkdZPPG@Q7Ji*FohUdbZ|CPFaP|p^L18=cJJ9UXPn2( z0boaXcq<@5lW$$+`8m-&b3eVSY{Ib9{lk6cMMoQapYbuR%C?C6=l>vFw9aFZr~@g+ zSp)yB$g|%xd&Q6JLr2?&@eH&wzt6hzefj(51=HJJ8@_eRxoK0{@0eWXT5xx!+Qm5! zod>v25#%_>9%ZmM7V{c{dlYW&r`2i z>%XhmduDXy=ucmoTBMbhcOO)l^8S-a6t!+jTAD$J;IiiC$dPvW2UKD`YXVny+KE55 zNB6F~_bo9}vn{``=KPDfc`k`|ZRp{fmG#IM{Yq*o@{|4EzJDK+oZOLS;NG-|f0~l~ z%;EJ19=t}YUg~IeJ}1XIB|ZI!*J&PCRfF*BK`;8=^5JY6j~Eeb+so=gT2WQ@hYzM& z*7|dg`|gTe25W9<5FWK_`V6{?ODQSYXtmaAebi77Qo`h@)@Ri9%KCe&BZ8Y6RP$cE z=#en1pLN$+Ev%<$hK*mnc5T4NkH1w9cNkJXchZm(?iEJgmeeI1v>Ni47h0I;lP4?E zFWp+9Qs<*11YI z-RgvM=X5sA9Q5_{*|TboA3s(Nu)H@d?)Qm?nmcnof7usW`hHNilRld_Cw|><@_yL- zfqBR7bf|jwj-9gY&@*^$*kGe~s_#E89j;!z>Us6)lc|HkJ%0ZGhtM2M-pOmfkt5vv+c@ zeF*Tzjyx8-Yr2WP@|)j&Y1%wyt=6oT3reEn`mSx)>++($|5TNlyl6Q_f&V61+l@=K Hblmn||1g|l literal 34011 zcmZ_02RxSV-#>gAl@ZxVWF%#Uq9hS1LWQg(vw;SZB3p!PrD&KbGnAEt2%)k|DO*Wo zWY6b)^t|M&WSUxmwco#$~L$LI52#}TA+RGo=|hk-(&Fdf!V)1y$R8z~ej z0lL-r&Lc@RZu~{-q!}M=` zdDyjveSL*)G3iKn8*#8c)-bR<`*9&a>aP>++QDv)()fJS`aMn`I~(ro{G0Q0k6SRU z3d?>q@~15+d5987{>TQ!rPBx`rE_v}_Due2ahV?8FgZCXKu4`66q#O`qTv3V`I}Rg@lq!%4zRw9NDsUYv05`{n+2XH*#}x(<>8sTqgSInR(?Y=gytW zyVzma*2BUY8I|jILxXAG^+~$V&rVh5SXRa;o)@sTwqCn&*IM$OWc6@;K4w-{(GBc2 zLULE8hfmBdEMzFGy?(&c(^KAUIy1deKuBndHT99lH)&P8!e*6{aN>#cIR1qB7Oza5j{O1AGRwHHk{(mHl5z*wUC zj_C39{IbHr-Njc&(p$NGeSI5CJ={1rIYskN2?;fuJ@m&Fzy71|{8g#y`|Nn1u8B!{ z>#l&c8+f|Nd;iJucUH-thGm;0ornOGr*mmbvszescH=`_ZFE$7W_~=BIw^ z8X6jA)u^heeGT2htLC>w>#jxpT}hkP)JXT`Ux9&i?_*?WK4+WPWS)4@Sa9*A?DY+ocn_F5et*vP&f#Komo}Nl2B_+$bEA{uJHsb=!%*+PcGS(lBR|-8- zf4AqyhX=F2p2nvuKFiEp+gB5=uBuA?@X@33Kd(l6zviEx9e&Z!h!3&*%wJYyZfeTw zd*go0w*_rfR4GPq7llBp5-r?xz7#JL!F}>`yIKDKA7}R6LFMytU75Izj8+_Q95?>#qL!78Dc1op<32+m6_^_+4&A7isd%q9XaZ zgRbX3KJ*C&r#|K;<@H%b!^76sB{lABXtoo`$rDbJLPiU*DW#VFY9e<*& zqNk@9y<&E?ubOFaaIn0pDy72X*|TR9?+3f>sVNv6DjFJ^w{PE4C~WNPy2i$VX0NX& zdMr#AIrLCd1eBHe>FMdmCMPou-(x0n9tz%jb(oHikI%JBN?cO13S-t(?0h~ZHdgf8 zIV&q_H@5}5sio(Zl{Zy{*(~um#-^sKu620?q^53b%{DJnRaR5e-z`H1QtnaRv!Wty z+-ze@#_Wwdv9TLMLPN*U)A%d^%+uU>7IkQmPYDvSbDL3=+nY$pb|<>@i;Q$g8zc^sHs2HQpk zzrWf&@%L}!ojZPv>$jJ8c5XU*_UyzL8O%WM!9g4D4I2_q7G7$*m6(&0Q&EtVB&6s% zp_Vv$uWz-^8Q&!lamK5^npge)ly%_31&Li3+PzVTG=$maY-Cwk+b(J+1Pv8Uq;+mL zD>3dV#e|^q^}agtwYG5TSIZh-fo|Mp(dB_#ijIG<7*H@Bmls{t)YX&SX8yF9eU}mx zOsputG^3&@I1lOnlEIbPe0jd*(zhaA%j=jpMQCPv7DD!w9$3Et_o;xRYPG%&DF!g}Idqp(DPEsUHEH=AO{yU?zmi1RDSdsvc(3IR3JMC@rlJn-A_TWd zNT_LO1XfHt|NbPnckipOOJ&;>6nM%OCm4JC`Zx=^%Dni6BI!On*zJ||Z>c$OF()ZJ z!`;P5TT&NX`hE+w*Su6fQ%#Nb`HL6hwOixK3S+2oad8olkXTz>T79k;_h`6}0V@h+h%*@ONn|6CHy6`HwbN~LFt&S4L z%g5)qH1BL$;==ml$B%4-Y8i~_LuIc`SY_PO78IV{mqPmcPoobfTAaD5&WnEI!e zPBxN@HAt=P{=)2l2MR$bzvnC!ZlY#+X~A)J%(DH<7t6ME1G1RKct?ABs3J9J-Q3(- zGmMUvzQ)912~uMTuCn=7Op5+e`N9>T2U62g?+XGVWJCK2)Ad zQ$``1_VL)-+Rmb^>FVkEPW}FzjA|{tV@LYcwFA7oyewQ?tFK+V_O`m(3RA8KPop}V zKO8gDuJACLhL&*aWR!cl0<>os2FQAKAT3PwhtYJA`yBcpGxt{t;n=<-?#U9)ae0%oDutq_#<4d)YrG^|6p zWvHJXi?0S+=U)R zD{K?|{AeHUaXRF=ci%of00@*kT}%BsL9SpKmobazDSi$P+FWB(OV+yw0+=oP-$kOE zA3|A?xiY9T{N;uEL0vZ1NHJ28q@NyrR1wI!IU*`5X-LPe3YbIsa=%7&_1J{!PRx^< z_2%wAd$0W|@9N^GqM~~D{{7pV%Fu|J})p!oE&}JP?X#3EV ztS%U>DPvhd>pxJtQP#%0_V(5TEVQ`oRB2Tqq3a#wo+Dm5{j};VamD5t<@fHjZqKol z_gZ%McabtH2^2m4q#Q-)k%F@-pyW8PkkGDO)6wBAsI3HQtSm2yfBRhG>O?6=G0vEJ z$jTad)q;La^%bm{}Sj*>#bJXV(Qfet!O#`}cdNM>^!4hd4gQD~Er7b?txzm(f?R@J;&~fx9(F z_g$Q(p4J1Fs9Gr=u&+ zKmXYQK)^Lh{@h1ibRtq|(8BMHzB*mYMwTSHdwHsEa(YM~u1`ZlW50ugv=V0R+%%BU zo0^(6TaP|0e{rtC!p3G>nUts~Jvxhbc=$Ss#r)(iZdn_a?dGK+SR)B2^aj&g>8SC< za_zg601&7sXFom+!kXyC9m`)CWXa4#Q#$fsSJhBk26?J;Re{P&lk7vEv%|4aj$1lc zgl^p33qVx?G?uQNkZ~E!hFoNpNxpA}AD3&|_sl2>A;ZO}bYvkEJ(lBhlJU`=qk%>o^ zLIGl-A+U>zf^~F|G{{n4f%4W?j@_5OxtvkPeX3>{X6cxi+?t(r0pnPM@?Ugy;qfR^hc&~zrkn8&Qhf&x=TPp3pHpa}hdfV1j_GlZ8S6iFh}rjl29_yx56F7IFW+iRF`sxC!&!v@kQ8t?LFN|YgA0Re)oJV2s@*GnBTHf|U1karmq0Ljid`+;Y2s7)(Q zktSkm!_W?+DOBQ!+qZ83*pVVKTJo29axyNQ4}<)s=^Gu*dHM3?F)Un7DLZ$A3--^C8JM0r1wwhFYz^e(;`fc{MW{4dqJO;AV$WOi|LPb_GQXNPxl0BG=B*9Yh-A66GfYJ2w#Dc%dx-G0T(E4)5C8t zMJ&&s4}NoFO|s|Gd_GIo57BMg$~#}XMc%!86Cln4;2j9=L}-Vo*F{p9@xiL*=4D(- zsJ+faQwpZ{^(JG8TDVPIyb^?YEPiEi&GqZo)0vNCp~tu{O?@UP#nQsUo2Uyf8kF3! zlnny`FA3_>o12@P9ZU|-IoGhs_{0f8JgU;t(sX96EWSOLX?=Wr-hKR7-I#bF*Rk&q zkW_|(1fbSVP?o&Ls^Il9?z0Y9^c9trG??)>LPJB-E1T(1ySe4;IFgc*EY6(^fQC?1 zT%7*z7dI23C>TU1B7%jeE7$&fdjk+h+K)(soCW4H>HN!!a~emE97Ma$y*_2PJrF~G znHSf}ChFyO4R^2nC>r&ml(7K6y*;H>_q4M~R@pIh;<7O2#H7OK&T}iw}RkXNK z!qcZl=Z_~wM@I|F$go0>la`j=52$Hz=FF-zeTHMlj%_bV62=k=3<>dj_G~-&4Oy7Y z&3dx7&9r=buV&`Y#jR5DRufVIY_&Xh&Pdz?ANiZqlhcLvUDYUrP1)wk(UVei)CKlk zVKbd>;Zw!-+fbGP)Ze0=>+jk+Io?;(^!$ug-ucf*w=ALP9hB%1(0h)m8oi}~BES|T zjgfq)74UXe%;+sGZEXh5bd4=7)}ha$QY+I# zhsNT7&R2+tS9?dsWNxhI0Pnu*`U8%w&O;L>sC?ITml_!&@7CAVsp{&oniO1^3*Q{1 zm&O6DO8xTX9U%Q(spcY$`PopL(BME=QXQH^{;jAg5c9jS_wNe=2(l3@VWFfs;f z&Unm@38HU98sHc*d-41^3qSulc6N3}&qZ!bzQNWscGB=FDpY0dJ9!`Nz2-y>*f+NKMG!OU@D>`cM9P|NebKcJ?}SamX=)zkm0A zd2vp=*e+H>IDLoZvwwx?ekeU=mAI(r8{nd`?l&~D7r$~qo}B1U6EQpb?M~!7-4Djb z#tC?26Kr8X4CKav(a}uWE(MTJJ_|`!zy8*(TNaltF$3!7$FPNVJ_I|Kkd%bFcoU#G z2~g({NE)l{F3$(-Z9C4NKW}{UB*fkHRrB-nHUPUs+)XMB(Q;)M{Q{obGdh|*Bu#Vx zz}_^4wV_Y8HzXF9JPiyS+{4w$YAd>YF>~K6=0Vzekw!JmC);boir*&I&hoPTXBCOY z>Wg7QfsB~GK6+S~EhznfPVfu|E9(+JdHtuf<6C(F&CV=AV8u#?;H{1+%7~Ka7Z8wf zMR*=f2@m^r-TYReq+2emg8#GdGBSeE?4gNmWTBAG(E4O>KxYyzF09QK7gDQje9Cl<@g^+*%5FD;lho&tsQs ztI?R6GEaclA9VhA$>EzqQ8!*Zz7eQ#5O1hYV-S5o+Vx3cRdw}hum+36Ygi*09BEBH z3=9ki0#ELU&HQAjk~}0TE`9)y1?rxc|0OOL=-(dzoyr2GbSg#M5K#E zYdZeN~R0cjZ-U1xb`Rp`sW96l(b>#)oWo#h|j ztgEYYfQC$#+xG3-)0qPT?Wovoz~S)X<>NYcqy)0yS!9UuEAfb{Q9f43GA2OWC(?U!F}9^`1R@(wPtb9_a5c z|Mcl@?M{Q>d-v8uA50yR4ou~e_AxvTO)c}<6T9D#>#eM;^!aXn3JwZVL8mgn+t5X7 zy#37{n8(p@L9VJl)=u@KoCR2&a3 zo*pmJw^x)38obz}bL%EskXp=c`%OHuHWUhRm71HIbKGVw@uG{9+5h0dgImd&gYXaN zn3)MHrPb2XqBOqyHRtZ`-iXdLXYI04cHA}nyo*^nSA&+&^^-CC&*y;H8XA{x-nNYn zl1q$|he8;?GBdm=&VxoT!4`U;m!vcIg}w$`aQXS@8U`~>Fz#M@<=?2lPOiHSHnCX! z*3-jZfTiC6yXf;BUG-2da!4rd9*~_seI6GN)V;N9*RpVOrsV8{EC56l02%|ogE%m6 ztEvp-mtmO^9n#d)6dH+dxY9h``1m-(0tW|&#m9$x#wI4TFR%Q#doTO+(Z4(&-%d2qVO4{lGJj8Ue#6 zOzHu=-+cM9K~z+fTsCf{r>DmUvzeL#yM-3&8;ZO|@7o}aW5==`FFgL@VrCfja|^4j z5C%*T{Rd7&FUD=+B4PWjX~zjfgaATAA({t(gf%{CV$aithkI_|L2~dZTq#FghUa!m zd3lxwn63T!8Ak8}DheuYB|cahLy2YGQx`36T;{nCTsy?RbnZ!W5uSZSbhJOj8_VX$ zhhdoA>4IoLbV~@n{NN)1MQ>rmFm%sVouH7HLJLrZwE)dD)hK(@(Ky8*uchDSE|Y_- zN{eHaV)3`3%ezn1Zgp^WCVmO5v>PBd0w|;Y{{F_L?t8p{PKBTp$H+Sh5xTKXX_lg^ zt4qhocq1~B_3VfHTe?Q8iq+vPJ%7G~h(}8cGd12+Gz6b6&h~}NU;D$mNzuido?S!$ zSYYF>3+2GP{o&cgxghwiCs;9cn~kZ{QsAK&xOPFBg#0M+7$ERv1E3f!3LNAE6%gi4 zn>P90yLV5=)KsGDX+pw&*tIMWFg61-tBBmD$M183^&~fb0wkq{G-Qbx;wwO>dh}?R zg}uGhh0c-_mSteOgMylfb_MM6T`vJBc01Fm$U z14@LR3zK1%$(Htx4o0xF=+WB`A4-rf(4bV!%;MY^;0pSoFEB!I%jP_3U^W#eIMD4{ z`!@=+i{4it$M1j^TKt^Gdk9exsJ)=gF)=akX43E|3B!B;URzj1q!);bC~sIf!6hY% zb7fIcY`6tM$W13soRHqR^F~k*z30l(HQ-DR*kM!@Vl=knF`Tbi>~tHgU6Eo70%ce; z=YIq~3fd#g0oX`ks_tlI#4rDdu{hH~G+oq$gp3UFuDkc{tvP=D_?4fJzA=pJt)MA3)))tJ>5W@;vF0u>~6T4qA~H8_P?_LHk~DVXjLMzd5v4zHJnfs z-=g}+a%#!vwW68~9N+W(pS_{6Ts5AA1xTU5iybf@#t>FTZPDVG7B7>6T=?nJr`aD5 z?8n-S%zOSeCM~tTC*%Hj~u1b#iy~y>xADMNz{cxvu-S&L&eAf0`KR z{%qHH>0&0P_j9IHq2`d<5G)B35pi)waieEyD0RTX>nOz4=8?1WgHM#0nyOK157JX` zv12umG{hi!qI^RpXW`*V*Xc8YQ)b)p#1dLQ7*!=2tjyW>-2QVHrY0vzz=7f&cC^ht zV`3rw?~C8TAoZk>W4QfKtfg2qB^``Wa2A7cF1BwPyq`2(u&cDOgE9Z{D@zO&>ykd^ zMox^CWNJL>S{UNp$eOk$3|-Z_ChQFiYYKU+pwGPx$}4Xn5ad8wbN!GEU5-n_*n7jy zvxNRb_~(Y852XsrAryqxu-zV&hw0+Im+)fa4S=~Y;AE_UpKZ%Bv0NSkK~@g|_%qoI-8C&2}%D?|c66viu> zz0u-0ZSdIS)x)>Z9QWc6!fR79*G~=oSx!d`6gX0f>0ueOB*#o!(`L&`dd;9bCRod%H1E zCM9(~>EZgqLV!EGO~oxv@tpIYx1-D?91P})*?Vm}P=VQ;X_o0rwqP#F3JBCbg!y9# zZi^i8ee{U$$9t$5BId#%>? zW=4CY&q-UZYGy4oTqf{1R#sgm5DxgCLg`dsRR4D+3$IAxv7kOx14L_$a7;RL@>f~O z&dc|t%&S4NdWMJBA|*t-YE`X~baL?l_O3FtQB1m^y7_es3{g_oo@oNo#K@iJD!w+# z3{@AYAZt)2!d+TviFWV`f;@0V0JxPlQVj5j_iR#f4+Nsvte{}h*28M>3ups=>;C9^ z`_G)jE@{uTb_DiDQpN&w2iidSXLGMmPI1Fj1w|n}8q=T%jan`#v$g2gWWixjDgRnJ zCYEuY4J&lQ)LyzEv3n5_-k<>n0g0E1#%yB3b64VoFTofT>Fbj=+A-2pq?5z+AoGM% z{jgg4TUK1L7%~p93L2ryxlXL5+`W4j73-j#o!uk;@0+Kp{B7fd!@>?h4Ct?Qdf8JM zZ~*E7Kn`(6TUW6UD%io#B9#*O(A~o$7we8;;X+p_U*%1v8^OVhu$@V&#tL6fEUf&E zUrE3#IN2&d7ZUK$W6;XoJFu9D9|+8b^u{WFk4aWo+|fMtrlt>7zmFF=_QBM8niCF9 zw{(6;oX|g#8Je6_Llgq0?l_PD@gK=$pw!|r#urA*#Cgqibi9Ek%j@eI;fND|?5^a= zo0xnQZxn#(Ki`81u;T2!U3;2B@$gu(Q@+&9eBYt;!=t_H;TWzS^UCia`I5p*-#Mm( zpA$I3E77h---d-#1cqP7gkLe9NcI+V3o@mHh zI#Ew7aN#acqePCyg#aek{|>`%b9~+F&`m)k%pVk;sA-tH6pGrxgS88>ph?==+BptA zszh<~90pEx7-|&_frkz?U#{5s_e~TQ>z)dK3I!Y%KR#qRxq*Tb902}R0cek~$I5KX zVKKE?+)S37pcD$vu6roY!<(U9waf)FEX%T_wu%czl}M*uY}y9oC(2!;d{L!FP= zafadMI{vW6MjgMKH-X7(XHLGlDhaXp1~OUQki)8>ZxDRqKG~!`!8(f~X{b>Q)<>jV z?u{EOKYYkK6z&t47qQ>Y785kT`5E9aX?s9=hf5{*?K=fJQvoAwl?n?%<8L56#_Vx= zQjrTN56X3eg_k$8u@kk4bNYdz>+|lO9zno_cc*tGB0X4v92m#6E9w)0z-u=t&W83y zLsAF`2^m z{~_<5_WwfOsS`5&{rz;%tbK3azU_ccWu(-(TleJXhIwTn?xaT)CXFrJa zjLu^iDk=)BZtBpu*{iEeXdlF#f)(#xhTE`2 zq7f+zH7lzm_g7h2k}!7nLkZCj8Rsi!Idn#5Tjg;{C zvD&f=GGj!NC%=b6VHYLxFRj!k{-2cu_*-P#5Yk5X>zE(^Mh7N*l4Gl%gva++ofkPfDy0Q@; z13o}xd^{v%;p~A`abAfl5EtaH4#$*K=OWMsE=}=<{Yz;$&u~xTL{j6qxrTHsV+Qj) zxzHI1xd@ZkfY=aApT?8FgT8r3}`rgmDgq^lr!|0DG&= z&CS>H$kKsbaE5gi+Vej%dwmO(od>B>1EoXFW@M-{VQ{yIXCyC<`}zCB5X`Gs0%yhr!#?rW7C8V6CqDAG z>iRFKvPCxJhDf*Pk~HxPVUo&$te=*%?Vn6%Zy!$5Lf|bVs9;ifNs`}Ia%BPwRsk(re5C&4 z$3LNcS+~Yk&hwaSUvj=8w$hWLuv7xokVFRmkEBT4)D-w%RMxIFFxk*K=E);_sozM5 z7F_t^3#}gYISC(0$Svq-Z*MQM1i@f0u9+3$XD7CmWf!mSiB^u2v98vCS)>Ul*-!6! z#_KH)50BWlg2KWYtVvc*PJc`Xv>3~Qx@aQ7fQpfHrvDQ1#3WUOVrW;Tt>z33H@zEW zhKMU9<#eWwW9}+auZWKr&BnGM--H0hPSS2rcf{PA+S}VH6!TY~?YA?w-3kXo4kb?3ZM05nI z+2*pqbkj?hwi7?-kQZ&l)#EdNKeV-RVi^ZQ(ZsYMwmk)cp*X=MXtVo;+1^xE9uU0Q z+S2!R78x7jN9}D|GxVAGiFCKgHkV9Gszm@w$>%|YP6vskQ}P(;RAb=m6b{VgT4TY zIB{K@LX0Is@6h)AO+F&>sr_IV)88K-Zp3vySmOJfYpsqaOowJla+0e2#Ffm?mqT1< z7Gu(2#Lc_&>{{rNo4b%&-O9g|apANZo|Z8v(8ie~U$q{6ES#7b3qG@%cvwxzYcQQ} z0pGyMS7NM?%`r~g{!%QINABN` zuZ^1df4zu+Gr>Gq+(;IX&>uujf{t@o-h=By{@hX~i7A5Qko(Hg48xMVy!<=<-}NHe zF-W=&ig~>hN-7T8+^DZIr+*$9zj=2@fNAAn2+}nPNWy6Lb zjG}l*43@Ly8{btVl)ZZ0rVz`@n{OH$S-@inV)BH{xqI2_dTzMjftwZxiovKM*=E#q z!)K;*heqx>UB2x5;K9bbQs!akpAeg%e$bSyEbqmQZ03)3YeLtgqM+*@*IfJ9qxF~j z3*4FjU3-z^W|WowvO(13?yi;P-Gn?34KYw`x=Qzf!v$cvSR?z-FhZ&s>UT|q-~mDf zNB|4fOI1&g4J246IgPizg8|VgJdCCU6&hZ72MV$yfFUC9KYXB~V1XP$ru-&$8o=@C zMLU3!czl~^)924M;4UOHM!*$@xEeAZ%cf04yvBOaA6!AqUPDXk2GUa@AtC8}yIE~_ zqd4gp4A2gAfQ$s9xpjk9zXcq$fOih%&2nyHpy>LP803;jSm6#$-+|=ANtC=wTWaFJ z`0SnQNAXa)VFpo31 z7^#FljQd)Y8~ygX&^u82#Lfu|3SB=1zg$QtbT>k!P&rpaKvJ9e^BoO09O5+<`CE>2Q*V03=amm!MhA`3OL&8t)c(<>S-3yr*`H8}z$vLKl1464H)I2CJ6(I3)R%(hsZ(y$QCCC^jBv;mLNkU860WMAe zp;5M(KWIq$fq8W#0EiezVqEac`yi;PL5|et`eGlsBL>v-spdb_w4o%VuJpvJr21c(~NwcYfc`GdgJPh&0q>H1J7u`NKttb`ldN)_6N><-t}-iZBe z2BOB~M8Uq1UMZ+2PEzz}{&;e7cm)NB@ZsKT%;cA#r%9iF$AX<&X$asn>*1m`zeAvg zCa44%1Gpg+>*o!gVVmXa$jnR$kloeLb>T$b1RY2}Af)#aO_qEYd#5xGANBzPPd{*d zGqfkNxd);ZroJD{630kEAw7k#{l{0y$jA`bfVY>iZ5HNLayRa~eU6e-P*4qtIuf=6 zD#Z!xbW8ImIwc-Bns4(g9tY9@ju;R3`Cm^-nT0~Z!p@#NloO~?kMtS`Xs#7pGXMcn z*TD8O4gSV(ad0Fc#7agN!4f0-WCh8+dp9C&Kw2WcgI@D=DB=$C-6*gmB};@}P+>gx zRPxSRcxQ@YnXv=pE$+QnB>=M=2O9;^G!AA&ouj0hmnji3*4LLBuAv6G>Q=~B;SjUX zxc1{E-E--Y$SzdD7_+!=AtWI|;QfQ$|7_nx)<~{yy1dnxB-pZ42}m3r)ve?%|QLv99&$z7@%$2w^#R81(U5nc;bc`iU(O}38eX6?A#Z<^w)*4c zudj205XpIV!r@O#69vy(1xjpkD<-g&4}vXZFFwL7!5%ctA;M;z47_!#0$16TXL~%Q zAj{5cWob8}m>~P(U(K&$j>x-C2*aAibkFXm3$lBXlf!~&8_}f*4wsY zr5W%kx{ResxzE0dM|khvlfRNbMibu)(S`G`;|sT-)PRBLnz)e=>7UNm8F|xzW^jR2 zvhJ~C9GHxrnWnWVbv{A6Pgx!ZLpMj>Pdsa%P&2P~g4{cV!y6wTzHKsEgC~I1oZs2d zkp$e|%9;mLlc)%`Bdo8(3U!0CFOE*32B&;1u|9p8=qf4s>T36I(C4jYrR~Xbw;dWB z-2Xt#?atEQ7X|y2AIEkcI^kdN`t$j|JuP=9xP;O-j1;{sW`+-T15WRvYCHg2FZiR) z_hLDad}L=;@q09O+>YKB@S+G~5G;4~g;nYNA{t!a@ZR>s>=bfVK#cLeW^FX8Qc($VQ@}DYqZj)BBeiVEYE*iMLS) znL|RG#M{wv_DgV)C?rx`mme)Q)5e)cj}8ryq*XUi7b4U=c>ci2fh6WCa$8VLjA6HZ zXKS79lE$kseBL-d&+Zm|-pv;|Ib@O&!xs~^2X6_43f_P4^y$a$%Am1WG!-zVem2Cb zA3e&9Z9;3oCfinJTcL(c*k+Qu!h}XrAOXS$B~JMq@XZ^jjdLl7?ZV?%W#fM}{o~pR z`TGI9$V;&~XdS8tJ_d3Gv9$UZ;1-~R(jqcWyaiIg;FFp{FG1Dw#{yvB_p#GAJhpuK z^-}>l)0ZK#tCbne)+sXvrap0DP2?i>Bs3!j6n?mFZ@zxz!S7&47A@uU>C;4K03jfh z3!=D5o(&at`XGOnjCNWTzTbmn5D_wj;hCZbr>HbK_E_K@pZHaEl?~KF*EwM(Q4xg_ z_6A19AD$%<1u)deFi;w@*${RJK&J)$2}DML7?1}vdBV%zR)2{H(@P>it zi_R~a&mW{ljj5YbkfvE@Mh9Q1Bzo1wK(m2?898OfZ1j5xO3%BeSDLx>()4XFraXC)gd~XO`S3yKZGZQjipFA1#`GsklI&D?oRT7% z^%`V58G9}9sz6yXwe_;i_JPKI8q(JUnAj#N+LW&Q6z|>#8lh>c#X<|UE@1u1NRw^x zr;-b>=W`Y8sSHvP0Jb-aiD}x7`1|=GH)M!~9{GcXesSq=GNz{$$SH7h0I)fPqv+;K z2-p*94}}gqq#Tr4bR?Z*6>(XKz|JIpIex4N0ZmXhvdIZ^&eGCSS1XduAY5Cd62D9K ziGhxgebu5PnkjmiM*=%{vSZ(_&DXp%y{`uA$$kcH?X_fRMULEWE#lR}DnqBmhA^_N z5PUobwA9Q&L%)X9S>)GA9s>Z8*x#1e1*@6%6G_v9=*(zpnSR^ajLx1FfvlF1KMIMR zm6taJd1YeIVfUPj*Rw78$B{k(Lxl2KTj(+UkuX^@Q})QCIzN#|Q`$euDHdI3@4DG@Moj zV$X<)lD(+%37sxl|D6SJo0d?I(b!Bn*z4<4zOP>G1tH36W&DwvgbGc%18P+b9%U}n zf3wrt`fG6i6to`*pKr_uo3Y@^415pM{uQMYf)K+XkD`Bb~5DQJjoIX3eLG63B`{v@Xl(;QRw%)}zsOT^+D z8rG2=dsrg|e9TSaSa@^@!eF!cIlLgK%8FP9K+)h`Tfcq(9<9)^hBb{pY=1^B);1CR zz(9ya0HRL+j|~|76c!dPudSs=mo2*Ti_I%;OTO^!+V0`u5bV(-eIGtkI&<1bqEo=< z8?TotOK|L~E-8x82$o^jIgVLCY%4N7HFzmcZYP)drCB+AA8c?pW^(O~U9j7920h?P-WQsrs4DIf=Kp7;49ddvg zZx9S|#Jj_G+39M?j;TS)4K}p|h&>^+Q!n{6)>HEKM?+=6N$6N^MHlo*|^kW~Tf5z$bSgco)B!!_%d}`>}Mb`!Y;X57_Zy#tR zM0X`S%OG)S$F)U3bs`(C&?*)e|2E)i=_om9hv>b;&LFQq@HdQik1vUE5ypY*Vf_!> z9b`gIv#QRB>yBp1?A*_I2#2RX%4JrQotosL?%ovw8v4gAgNAazX-Hqe)_(-fOhx~$ ztKrc%>^=g-T7_TMdAt6^o40W3|()@~U(;=wHhxx*E zsw7Vp-&t8+2#0VK+<&6V*2bp$*RNWLH>vnlLd0uoNNr3zz)qXU@s=)+R_%<+)O2qZ zBhl}H%e3IT#x!ix5JH+CTF&Iu6#NPm*jhsoepYPJjH^_Zf>;L`M8p`=l_e!5!NAlE z4Y}YC=>=@o*Tvs>0=YI#LXnCY8+2dlu(ZZ=`#js9^xR?q=3~zD=j4b5Qr(e8N;|-o z9zn>VrKJzH$0IWQ7*32{fbbpPRMTyAL%&1mCxJPMxp4pfeH-AJJ;f;~o|_@jQb^l} zSQGcSX2S>Hh5J%GWX(l5cImog1TE;ZYw;t zI(+2F0QQaAfEOyw)ZI4S{u2h)Emj*i364&eStma3k+W+hr#ST1Ckw<1u@Aypgj)n7 z+UsDouzn6269i6SzBveL$&d|Eezmx6=v+sY$is08*4BLtw#T;Ld*S@s5K3R;r%%r! zcKJ8s!r{i=!173UXM1%2ejUo&1{o{0=y}yAVbCn;85qbR3%&Vl!n*yugZPk0MI)+$ zf&!$bjGj-UL*TkOYhUmB=x}~A!xm*&E9>#S#>Peq@BtVShxzI@!nOJiE4AxS_*e!@yp?el>|I@PD41mUj5ycfH7{C{^?| zvB#1&X=(E_nMQB#FeMHn_d&Lqr&Y3~rwTRL^s4DO%U=2x1Fcf4c^W}P+iyj= z!WS9OK=oAsRxs2!+57FWXX_RpuGV1r^>liXvOY>METExZ`0_mE{mg5ppGT`!UcY_~ z6Z>fF@C-T`@^<>gRihaO86sbt@Z8Q^&9`n%)pcJODNLE~m>Ak=|NCOxab4p7-@bi3 zb|hP9LC5l^2$COw%m_&*0-8hN*oo~T%k#gp8G?R0fBEtSSs1NxC)d|^QxFr;*3r?4 z9lZt>5z2y4*Jzty6YJ8@NRa0iea{FT{cZgtB_HXY*{iZa-cFd@4Eczp+sj+ z^fA|&*uq@P%GDxA9~y68coyRErK95ka^-)agc7L)hzs%z;i;UP>Tz&KHL>>@>n?PG#bK$Wp57sxDq`?wCssi+ za;GknlU)j;qB zwFlfr1bzoQ3Z*1X@?bO?kGDg}GcIwFK~x-DMTw8_r>m?1HVY9TzI=&AI5!ebv3(h2 zO{6eazcdXaYkRvX#q4gwGL8zs>z;sML$)*@-;E}VeHBgE1%X|wB!D*u_8%PLg<_3& zx4d{U6ecQObgKqY*xK$lH{kWXZEK5;h=@>)KY8VfEan3601PExfB#jGHL)bOme)Jq zFGE&D;o6@NZ0&>kZIroHk|V3A=9$pEwpl!h*?jyMh5#6G0ZU3`krUB|#uNg*5CR|B z8GWnFV`?H3nGF*9iK=BT+|{1MMDllK@xn4E62zcEaXUwZ2zB0KthUE&wugOiWv_?b7AM zMN*tWc1YS1Rg;`dfgPWkJ`Ixgr&_VHbM4yxX_&wgbzsU=vjg|c$!2#V^AG_T{;a+I zXrbb~!2!qcQ&_A}NJzwo?88H7#~1++lJdLn#K*&<2?MJA)io)^lP$2w-qzHtFDe7| zwLW*Q2B~6H?6auE$S&MLd9}8;Z-5>{Ut+q|d7{4-aLoyv5dM%lbg@c=#=3@z(&7DV z?!UYTRGrphs5R|dk>d@7eZtVTq9P&^V*W0ZE{&6a@YMF84B}j+pFiWh&O-I1xc~jI z8zuf8KK})BgJidN_qNBVCctdOwtcANai7G&ym9_TBTh5$To~C+a2ygTz4k~^xz10D z0z!*pZV6#`aN~>{^ahYoE9`s3G!FsZ11Zr)U9oyVWT3NWt1+To@z_6nZ$1+syBx47LC;Bh^6rw z{ypSOfR7(3*eoD+ch_D#6}bLnH!Twr6I|3<3|}pD``CSM1A)?K{oJ@l zHPkTdV4Lfe!v>vi+AWAxfN|6!?2S6Rnq-(@{sWQ=-L8#Mblrj7LdWxd_x4smRp|PW zlb!ZorA01+H7ymU%dPR_P5!KZfyQl|x~83h4C9~`tpPDVlCx)zDXJs<*@ z^)wdn>|kX)LJx1jDJLmQpVJM3VJ0-gOYa`gRDe#Txm4HQ9)sVZAxmi-;cuLj75wPY zsZtkcE58sZ7`x0djw(l-L<+Wp;HVj<|L=T>5^f}tF47y7O--y66ueH4nNy%iPc;%A z$l4~gFQbqE1Fyxo04YlVb|8wu`J09_I$-Tmq||BQ(*xd}1-8-rYmU8?I62{}5B=ot zg^ZJh+i`3M1#U+iX0O=A^C;n{v7E|f^WP?**XWCumi!XMxi^A9-EZ*e_z1*5!(P2w z*chKZHeK^9b6y+kB=y7#5zHXr?c2jp(;>|};sm%0E!eY_vhg(fF5|ZoPvV8mRCLkr+*<=<$S5Lq!yZ(e$oZEg8;HLW~E`+hJ!oU7RBrGlKDD1 z1Wx$ciYvt@q~zBQT*h{)Jy2%IxnfVWW0PV^TV9+y237wSpB6+B&XoqOae*G z^#gN;hft-3AxxSlS)V<72nLC9;Uzwt*##mz0Yhh-0f$F^R*917H_xddSID-(U_J>h zOE1$|VAhEz4n;}$e5|d-Ffrfi!l%Qi;c)W$%SPogR}DC}1(Bpvr5>Eumb!iK9==^a zaLaZx3bxThx(N=0tJ70U16%a+?b_-Jv$REy7ys&O`?*?5eZP6xFClv`EPzF9p@v(| z|4_mC7AbnrUSPLWh4R>s75p1y$SqL#YY+~^SqCVX_w0XFm(b2m72IMsvb^?$9I*s7 z4$2Ffp9K!R0E!j;uqRUtEgQI&9N2Ly<6t(@p0~Up1z7Y{_|FxjnY~s(#rz4jj+9Xp z8da`U6$3JBZ!w{QIkha$GyUxEPsqypfEGHjZyH(F9}C}Muhil7dW zBkzdoWJd4g&vezvjFrvv(K>DVF4T`=Vl=S6@i30hAA0cc;d`JHRBoNpG8t*@wz&P@me=nLxrCho%cm5ED%4Km@268HuS(w=SxP1>uUj4!a)1;s0EG+ix z>)&Y}B|GP2#dO)w0FohsV~fi@B>JQ;ewBp<4AzVce3Je`rkLjC;kp+M09^byLL+6* z0tg)_#`DQz&$togISS_^y3}PEEL!YkvxaL2&L4nu4Q131yd9k4C5~FcY@sIFGB)~H zTUe08bL2f2<&lQa6^61eNZJc35+N&45ss93E)C*18>nF<8wt(Z_*ay|olNr$+}vY} zb52O&CD~&m%yaN{z^;d*^{y5c0*IgK3FAj0P-FstSfi((`W{?=qsIcwbEn?}WI9-E;^kkwfE7l)CSMq2X%1 zHzoRWJhB-tvEK(O7xq)d5g(Kpf(14@)u_VboiX_g3L_uSi6yaNOm7v^mX?75WWB}UW4xcahBL+x3k*ULBZmk9 zbwisMoB3RrwD96T1wh5cz(0IHzmj_l+>rG#vp5Tl7jP3d7k%kaV{7Yae5k~U=YC+M z$1@Bi5pPP9cYOV^y`3AV7Y(Nt&4uyXk2d=;cwkjsUGW(B2_PD<@L4Q;ExCgg-@ZKr zeHaIUdJdq5Mn-lFaU_qd3gzXHyH7Tp5~l)*66}gf#EK@lrCX6MDqk{co(tDJQ(SnD zrdi~5z*=Y`|kW`+seIuZh-3mWrYaeJ0DOe)5yg65+p>&v zeF0h%5)%O+nQ$KA0Kk>ueYau&NX*jr2wJ5YX7K>b8D(mcnt&r%%CXazb^9m9K>&LUcqW8yD&w#e4G5~@ zJ2t5Z;gR)Xkpk%CR&+4a(kJt2DmV zlH)L+6~~<*Cm#XM!&RH_X%lJHs3rgXT!3ziP7-I#XP4i*mw+`6lQT!RJye*^Rm}FhT3Va&bG^O2J%DU-UOc9*HAp3N zYplirwrl~7#J8Ipx16|pNE7NFiBTweEt`(Nx)rvB@~nMdR zj^zQgTfHA6U2rU*NRnNu)1zJ4#v)^wTW2~A&pgLwO5Ce}Gq)JB$D!E4*a&wQ{cH|J zb`Ep;j%Evlr9Jls(gHn2|AXw%%Mqlxjolb*92_JRRhR$0PV@UbH^<_a6L+virE!Xf zds!KjXM}T3qr;(~$3HvuYKLR58fa#n!fBNVwUkE{h)#+Bs{IY9j48R^_$zqXcjOCh zl8vo4Ht#TFU%Jg~$I+akE!=2zex;>Kc*DoYdqd9fh3L=D%WL{%M1L15T9Wqs$~A1d zColrG6ghwqrra6unxu7y6NKgmkT7`Z`d0)jxxBG40?`}-@q#|TVi5gx?i>&cM8~V8 zU87%KtRY1pl;3V4<&Z{xGP_4s_72Jom6ZD7*Ci#mfyy^;d=L_jLcOUfKo09P06Wgfz|k-@ z&|f&haV%*ZH1In}x3*x@DCzU=E&O23Wb-uC284ac?u@F^ctzI=Ocb&hL2^l|i=F+p zYP^wdF2`vQtXnhXuqZgQCCQ;_*b+;k@_+t(MBVCgF-0FHp%H|MFm})j-$Rv3cUhd8 z`G49v^SGMRzm1dpkeLRZ?2TyAVjH{0QYqC*oa(d;p=mTTvPVX?QEDh#sw0iic4$Ge zP83nmGPaa$Vk{*!m^2JopZ8~;=l3kH*E9c_bE$*PItpVGha~KF1s+yOE zXKB~fkKJf;W%L?-o2&&wlhHq(tnN8?OBWwmuPG>Yxbq36(Q7kwYSK;eNakqhZor)KB(c!2~w{q62+Sd6(vKxmY;v5 z?H&_c+a5Q_Z-ETO?Bk1A8K5JL0Udy;A*^a#1R7BC`v+q5{^=*Sa29hJc>`GKfnZD-aS%!EkBBtPUiXlDc#lfo(A{g*^LW zaxx<*(-*>;Z}oPe>pwP%$k-( zTw1$zOR#_FEi9R`13ogQbT`qnhm9SZMA&FGxc<&Kpb{uT4LA*-J2~S+2-K5!Ychs2 zg)u1*w>l67Hl}CppN9?&!9e*U8$W#WX1CM6r$2sJ30rl6q$a6b(69W@$nj?>1#Y3t z=PUTL{E=JkDijrzSn&a&UM!((O`=~dB(Nyg*;hJ)XqqMSuzv)E%Q^HXkBHRqn;?KeJg*>#Xn3RebiGui!QCjcPHZ*%7cS2+#8<++|~nXE9A8R@UNxx#jb5N*GfKM-Xt*UXl~6Zd1>XneeV@qBgWZYaG&N zT|%2qtZN%^chF4Athc>TT)c>B5R4<`eBdX`Afy4LUrU`k#e1Hla0UE8=YXNIPJZjf{Ha=N$m(iEoiCWL`4JsK=;G;`5qC*fydg0hG zg*k3&ziV&OS;cBJG9M`<8oF(?G{|!M$gG;o7T;WkC|AaqdArysV$_T|0FOh!Us$K+ zV~Me`=SZ!KkxbsXQ=ne#V+w=IL{O{z{3tgcp9HE-%SjCkse!BZLz>9;J3;{|+$usF z49WWwzX3~3SSpl_{C3nR*Qg)>tM@yr#GMg7N0**`(4pv=BrnMT9MFf?rcS5>G^;uD z;~wZ{CJc(0_i4Ge?z2UFlxx?HT&Y*928cX0y3Px&jj%w{5b}9)X@saJCh@Jskr)mz zfI1XSOE?uc?eRIbX!O{FjEPge>ka44tq0l;@}92QxSBRvG36;oj*mK=RH^xs+l z@TlNzPct@xZGVGQp6s~#%?tOW&w{G6#57eRF!AtwNr~f}7dgb4me`&7ddo`2{7|=e z(IVrKBma3`Ag|bgIrE8MBlZsa_(y$P%lT&}ySUhSddAV_U!#6zb4ciIHfw;25%psJ z^5?0A)^qHiJKwp$w4%&vWAT`Rpj!$Z%6CJXZY?h_Un2DG;h0<{?ZIOTqD>t&;6=Wd zu#Q6+3jusLaXB{K&f+ue!CkBVxIS>{(xnXGsNNmqNP;i!0YT%5w8kSY@xfxys**c3 z^onG0hv&Yu=m<}I-u3R&=Q0~hk(Sxi9B~kDfY*6cg=Wz$FQ4K|xcvEpwyhQ{SU}*H zXia3Z1rk_WSrv0`x2p?Bw(eB!5Tqki{xW%j;1#p+&*%Pjd?5N#uXi;f3tV0BCZAQ+ zEd0GGSbd7tHFAqhMo*e~%+zS+`=V1oiNSsu51vYg-$w{vF& zkJ9>L@8>?hU!!mHO8N|-Cc`VcD*{LpFf+(2O7A`;-{(WPisK>kY)*V=;M(njX6Px_ zJPQKh40}3i{_S`UJ)C0Zj@t&PrqKm}GPLadx{h75bkQQ_=i>q2D;Wz)+O?|(R)Jt{ z%C{f!`zPBIAjXMJ`|@_`Qm4l8-lvw$$5mw_OXb8ff!h^w8s)vA^#}f+0lhq}Mif;7 zndKeZQ(3<$wX`l6S0fSNG8-}I`tR+-Z7f1`W?Z?rxG6aPY4xbQZpO@ls==X=S)j!NWs#;G zCQYh5Fntt`mNMNXN@Vi%MDV<%q~1W0hD%<~d`UKZBz%vcV)oRwD2& zUUKYec^vVUlI(&@vo&eyeA9qXr{wn<1J?Ik-FKzHZ4Ta0n z1eil~_|cSoMCK{P_{98!WM%mtcOJ+6P?u_KwpmM{Q2rT3a({U5ULib(V3On%R(fDKDjX3)AkhPW+c`BH3&viU z&st9cQTlY&v-x5E-Tb^OJm&W`7_l-gLSIecc_?*HLh;Twb@WSEmxvu0{ha6|G1w}^ zCL-nNo*RFrbSn3De3=W;wFGsi3?E1uLLGqMdeDpfzutTYt@33H6BK|Z=PzE|%tQH$ zXCAO;A}BvPqAs(FBb589Ms@DVL`H3GG0!^>2Uu3{SH}El76Mk6t^uNiN`!qc732>2 z9{)vOt-{Tq8Lr|8%^&E7jHMCgO0HZvfM}&WryUS?Xv&Rx zCOsCuJo%`g9raBVnqxX4697`&nEKtQ7&vDDAN^apJ4p0ctcu{oB2mh)SMdAY&3ee! zhu6B8<&_NpHYsJ)!ADoCt3~+&mPs3P76&Nsb&KoIWkMB^!19O78dEcLZK;Krh9sQl`^u73)^KL*sC-g&^R(@D~kgNRs83aWD$C8>GmBov>dWM*(7Rz_-|Jn>kP9N;)9ux(SNo`Y#AS_Z z2Yx2^3hCF%v26h$&@k>@;nEaL*?+Dqef9?dTX7*T`QiJ&{ zdM@q@dnjmf2`{vG=~YvqNcmn}>BmYqbL3;8;Y+&xdTw_Sbstc+7BCNU7_k*WNwBf{ zGP`v&=xxf@?47B*v-j=W7tr$tRW$UecoQmfyy!G3I#MWklxcG#cb(Gf<(uKTPao4L zR9Mz~AA#hiFdTX`ea2TWUBM;jKQ9r~8xW?5LIZfbWx=zaq z-eqIRj4R1isCvE?VK}|eYvs(3PcRZ25B~TaaLFnJwKARu6k<{GRn=eAm;D%42z{t$ z7oNPV)^RjR%>A=78qQP2!aHctzC=ad0#sIUz%6AF*RI54TsJB9_}1QI`dz+sX?yz9 z6XdGC6R_nN+rPil^HU~HTS|BB+GVy$X#?;Pvrnt_a-Lony1?UytlNX>w=L$pElJV; zLa)3y&o(A{wx<2y87GU0pm}@{L>TiR*9ktFpi6sncwu~XL5$h4vFUgu7`tDXPNH$_CZbp45DDS}M{G|<*g8fBZ z?LT5M2zkHkrCBn*sBOL#-iT66_%V99%!!?|EIw`NH9ib_O)^3zpg(|Itl3v3nz*?Bmj6ZAB`L{Ct6nRL`=c5Ho2B=-d3=5^8kM^1-e`2hVdmDYyuzWCjmh9V zR*UUd&EWfDP~fq?uVNhqhSGE)|AK#ZHu|Ya&&|yZ$x2$~ES-(9qe_#ruGw(rWabFT zKyg`FX3gzecqfo-&KDN01-zj+D?f1H0oCh@$UAfUws*8#rgK0aV31AtkftyYg0}AN zZYF1-PQ(HhY(HV;%J8Ec^@$Wn#YtbLID;5qVw<14|DU5>X*5@ef4*}DOT}jE7bbHIu_6yB1#z6=bU$_QJNvrRo za%VtmKgcP7Z^9p?$*K`B-nUOI#6?|~qfG*cU%8V_N+AqNCz_Pk`weuJ?&Z^8Phh-- zDo!90;2o{LlZBHYS5O1cFLtrDEgTofH}&#U_GL-qR&EC={YRQZHKMn00^y?O^^7w9 zn&625xK^g2KP6OL`W(x4WNI5~zv}d1!WTO4w+DRlP40;k-!V8zzM9gwC?Z&RJDPCz zDwX7ca|VyW(F1~llpM~j zm@s;!TsOJGQ9~P`?8#+%U!cY5T(-o_EUrv!>sfe)E1ZYE@jJ6-HFNL3LQ$bDJJ9rZ z>S8vktoNy-H~^*O~h0uak9C~CooH1VYj!~R?HsCCUv6Pg^4&@Ri#E=thD$~ zY#VCkELEb}Mlo3fkD&f=aBX{DEa8CbS6S1X7fOQ2MIdJzDbhK#oFLB0>< zF_Cxd8&wMC<-fm@+?w(!kT8O-y1n6)r<3H?yavqonwq!#fQ~oH#A7>$m}YwpV`pe{ zH7W=UnI0r_ZL?9>l^9_k$+T8(kiFRuS`+ZPv%o--_p9z(WW1@*HIDCp%r%)OTLyXv zw%_jAvu7Ub4%6P8DW%K$=^QwEWGD5 zq@?U7Y!tKnnm>_QTGVKH)UJpE*H_(dZy)J?s`K|=2@E+RBc(-S$IYlIO#2p*e-WUh z7=b=-YKpPxZRfa)sT4w)Te5z-`ijd5SRxx}I`W!>=n~t5- zVYfHiW}oC^J*=;1RPP%wK^8pT7Qa3)N3eja$L9KE7FixATE>CQgmm|s!~ufq=9+_U z9DjKY)}8oCwzCMMfW>^=_Hu(IDV8#ycID-DIZxz}^LN836FBRG@^ss{85{U?Fvw zSnVY$P>uREE{Z-t?F+Xm_V`CAMKg;!N4wB{a1u9a)Vg+UGoSQ+oUdGm+=JR~L*(tq zU>3v$1)U@w0&38(H%a|-3Zv0*qKQ?s^)9~(+MrA`3|B}Kd3C`eHrYtuWW3;0P__LV;eAShvM(MLmHfUeG-W6Ez4FUu*tst1Ms zt4_z72VvkjCL-7*p+ayi^qRF`|M6@Gi*8n9bOv76C?aBArcPySG@Mo!<(VsbmwzHW z*sD;e0#rcLIU8+h`Wak&_z16M^RjPZ`Z5Q92{s&#fSFG!kA$nHStZy~x?aPT4bagc z(8SInjEXP~Y-4-cWBZcOrhBcS_{5L9Q5A86%y2?HE3!UlF5_bp3th zD~|b>Ggz$E-{*(r0E&OJknTa&IsQt#(yZUNU+U|-+Hqq!~V)SB0i#Q*r;QzW&C{1u>m_gdSaEj z^pERq3g2y4h?P#@2S5jtDCZj&>DpQR%cb7-%*kIbLTg*U-#jpMNe!`>Dkgo$kJHae z#yxtJIN~(0{$<@LU0j)9mKE{5?fe zHe0xL090^OtJTe)s6ZYWoO7eS(~NP+iUlg#&bg(-lvh&=8Fpl6GKeOoat(3cb!zLa zcJXTQ13L=@yGN7c@nRIedZZ5iXhmE{Do2NOrO=L#3?^0q-3 za9Rr(CaLEa)|tU^t^ULeds_Chz&wDtb2U?Tx5nkhe)8l^&b!+lGdb+r0enB25{k*I z%^4XpkK^sdsuTk-Z?9hmJ90LPR<#8fMzGbfkf&j~WzvYMgEOW#qL(SQ zG7UpLxXf{Q+A^faJur13uE{7x<02~!%wRD0Y>=0|8_FMSk7PRLi^lSba7$bTxZgsk zQ36wWS!wCLtrI@P*lbctNkBjtGVkUPlv7fLM0i-e8gnIdR0m8)6N!!|$L{oSrJIIQ z446F|f$`B_{wnxHeJtG4>?IFQuyGWqYHi2;|NK9*gbLU!Q`B?{UrUqVyxvq?R6%kP z*XX^DonE!;kaf_{DH*(06put6__0j>#B|VC*$XJfggeYEa$iZ4LUHSpDSzqGmwzJI zDz%#BUvlHd38mp=OG{MG2%H?lG(*#oUn9k7fmw2F_G_Q#cS$ZE1izray(!g1$^GvtJct$tkR9tqes3MwIdN-_U_?wv#=@T z8^BHm%fwu@x_aOr<^-2EG~sd+*h5fvkOrP>a_X`_?_Na9$X%FyvHsLj@OZ7wP+Mf2 z4DJ=S22DQLLUCzn#@JSR=frzzI4!gRz$aO?wvuf6y-Y8ME4y?!8qFA*L<#6vnvVV!6WtLetZsV2Y?^25h|JH3vn%ID4>Y zsDaqmS~^_hnG;Djh^aL;NlIx0HH`&HDA1`^5r_m5U_91)&XHcGPoKfat>%LTAONR6 zci1+-E@Spxn=ml+Z)x|LvWYFA4;>ajjGR_f7q4rk+sdf(F9PuJ&tkg8N~Z+sgnK5QfA$Dv%Rn3^=YZ-|Aa zoRCzzwgx5Y2dsTquB<~IIp^4Ac>dQ3x}EY@Fgg7kXZaHGV+hM@(_6C*UYqhy?B8i; z4AL$K?jLIC+ha_yDQ+HIB0G80_=GRq{p&7L*<6L;CzLoTf(+DlnFfz#7MT&Kt6>%H zGS$w7M4^KU`9^to%l%Um#4F4A5t_V*b#*1w&Lr(B_$4u&spL$-qw42+E2_{HhcXj6vuMpVk>H&hbD^o)Kp z52!`wOMlou#M$1^L@$%ee3NOS#Uq70(?7%_TyG_kAVOgg%Oso3oGVuV`bI9Oai)=y zUlZ_OLd8JiF=Ki_Jy9aFjXOmIo9ks}Bxb!?EnFEOk*m>9$q#V$xWoan4(V=h7{6_s z9g=EJ*i_B9sU7XTJf7&HHMs+lmGIpF`_9x_at9fOFQR5WJZN26@CIDCXu_-p0MAgS zL%Ur1r_SMXfYdo5_CmQBpgXNo*4hBGE2J&zw@pCe2|tXr?@K@}lBY>akgX1G3OXB4 zuqQuc9VJ;&7^mx}sY2U&lAro5n72I!po!rxudG5P>RrslCIb3{4LBQ3(QM~zpl+cR z$xx8f@Fb41eh5V_WDMY`f)|xYA$iP;ublqGW?9@!%O~tRZ>#Vz` zrU?}S%gRitMlUkhr`9bZXOMvb9>b?jt#mwZo^Nhq(uPSV_Mu1zDKkCRs}KH9aiy5- z-a2cVzZs4T911d#!&!x)s#(g*x2t3rQQ-v*}t1n&u5sYPNt8e9Au7KOt7R=r{LmUY@YkX7lMjN>6v3*OT)eu zls{(MwzC8*tM}?HM9_Qn^%o#l9Gmy+h&>*&f;0=F7O#9Y!OkXfi|v`^&%;IH0{IuE zTxUfgEwXl8`pQurQUUt`@`(PPU98o2eEqRmZ-33{)jK%|NKcGIoLeQ0U)>Xc63+IY z*Z(ibL62wUpte$2*@K~in=!_sN_0JT&XpT+R;6?{jT@zrOY6LXy}G9?r)&eC=z^L3 z-o3sfyfQ|IdaCBnn+K`7@9~fJi3XAMcNV$eVpJ$4!87c)K_JO6EHJ7>I6LV0dL&^6 z^_D4q8`#961h(s>v|a2r(L9d3^vnYX*c<+UegaaN%1X7E!dRl5ptMgYNdgFQ5B@d6 zF5{e{!wW*f_lVJeU_8#7#LI5x9UgBhb15G<5pr}W?Rg5SuL0~Oli*4qu&gn40*F}m zaVv(S>(@}OMi7M3_3biDhu^O|8O2e+?#gw5PR_U3pW7pzsT!YHYQ3Wp;0N}L-oU;C zR}U^`WGQ%I{~Z5l{9J@PS8*GtYo$u=rm}Ce;s3{TuQth zRWfLzT-bPo@{Q0;d6!H95;Ubv%*M#`)zfEM-lF^zzi=>)ZQvim6H7;5u<``&)5iPw zo0*ubgR?_5Q@->g#291^VE=q}4~KTdBXB&a@_-q5;00CpImwb;gQg9c!(LP*;^ByhC*d0)Y@J$V+QNAUMGg2-e42 zxZs)5O-$TpQ#>30P z%^Kot;ql7J)x*jDCB3J$o4dWM3q2qA6K+0EdOHt~S5O|F|K|g2kN4b)&)(ID*D+(|HOUq#Igvn(E!#0e#{M1+=%~PLb_!jx2`WgFW-V- zU0Ui!|LehYtf%X& zeJ@Yf2E+&;5MDx__M?OpZWHLzn#f+;;nCjJs^oJj+amJy9ME`1m~fyL&m9}cXd8;HBRF-m#@U#EUjniQ|#dA2zQ$1bDn9iAHTRn zUZKsPyPuZEr>4p(YdQ?$<)srmt}aftju2{esJ1YR_4bnm1RAx4>Y}?;Up!xZx`OhB zfn}v0p|Bw8D$E(K{3|+FXF*r4@TR7%&B_|_56cc;-rhuq2mQgT(yx7iLZMoY#+2&g zQj2mI{Vr1pocU=PyGr`gkcjc(_b1$}SeK*TXJ&s1@D$C2+&YmTB z^w4;%|BB+7EKW78n3*xGGH%v%?KrhLJ_Dx}I}F|86ciA!!yM`Peoy^k>t;oz$5PDG z&BWaEA}}lrjOK85yfeMmdA8d+z0YIPqAhW`A9v`x4Hn6!fbNwOXQ)9|(p{{}ZSL(M zOT|%aV8F8Sas}J0*I}CF+6#M3!3RLa@*Ko2|17m^*9|P6oWZ`_B)6MyffaUKVYa{X zPd86Pz?tX8PvW57%A&2Xhc4eA=o#mCqANQ!=}ErdS9_-M;U_l4{LcNMruO!BDhi74 z)h4YCffwkkxU2oRpbxe=KC<)k^D}kUQM;X2feK^aVjjX)lJz!?7SSo^ft{xQ`!Zbm zAL-ZJ+t8bph7ES{=(97}TDI3Ff9`2CE-o&kg0r);??E4nps;WmSgP99QqVbZ`z3lS zv7*C*afA8%genh)0(z}$OZ2u!gg>dGoM~BS=5N$ zizq8CmGhd1rB-)d`ilMe5#qZ8M*?x-*{E*a9gC$AtvdQ?rKNx`h z3?*l$jpLw=+d4lSL9&SN-`-j5G{Xq`2af7bFN~U8hQvL)!U)l=ooAw_{^DGwZTd|M zzLkt@6a)@HUND2egRTOdr#?P6Lyx5%0Xb4ZPm!DXYa|@4X1cPI+*$`Sm}u&}a0Xgf zQB$Kv=l}an$0e#}fHzuUQ4W$E0wD>mfT1@^9fvXm>kO;V2#E`XMyqu~gUdX0DD$bB zii%1LYSIX9(G|uQLkfW$X4rMW^*LJ(hecOBpevrO?&6mNW|wtPD0F;$yy$R5!pya8 zKa6o>!EbLu5NTXEQK>iZves^Qt{J+TX6Ys_XJnM=0t9k;$J4}jqu8*;qdf5PFjpx- z{IpMPv#c;S!GgjN?vO0LAECAmggD~}CU&}<=-}##G&}D$>s@iPuD2@snTOnITC8qt z6oNN4Zth*~?j3!`Cbpt;Y?_5_RWZYAqenoQB?JXv%iI?BRCtC+bB4x-1(Vxr#8HKdNn>+VO0^x;&eKJEm@X zwhjv~5!{fJOn!vX2w+)kJCD7eMM^UiqVWeapYoicz^BRs&W@8k{2`D*Tp;gNRaI`y z#`nboxBY2v;V>%r9dD0n$k8MtDOQKGMcFByxKXP~Tr{YP?g$793YO>RKUWh&B?0kf z2^fy3?sQ!gr}0^i7pY-U7#bP^N1BjC=s%Rs&vF*fG@BieJ+^-G{bg-geZ3Y?b3{kL znSkrUGXqY#Kqt|I-p3ONMB>GX_ue8bg)CD0F{gV`H?pD~5mRoor#tdO_4tYS3va`bP*cuo-ZhA*vO3k^^bv z-ugO5{fSx^JYxKbwaSx@cjq&Acp7X+ax~gKJ@*!>n%&n{1uu0fb^G>CY_G^~;T-W? z9q=HiES;UJIxcox9eZMFe1Ao-9K~Jzi7WKw!YcE}35KLio^+gu?aa680gXhXk)72_ zJnhzS_2Td2t3C5j$Z8O3fm18nNKBMpI=_FI%gxJZh&6juuFfFHkqscKygI>_RPI zQwwbDgjdHQjZC2iAtB+$gq~S4W0gs(uGeBf6B>;kUtFwd-EC3IJ)2uAxiB>I+YuB) zuNNvZ-a`+2bv!Oblp|C{RZ4SwE5L3a4Y>wt?Ry)KNL;n$c>lU>;yG>Y6LUoz^e2SY z`^Ot6iG1L$uO>zJ+7gjz->SoN{0|g>U-VNfMO0K)CQdjE*@$435nb=iN~&3oik2xb zoi43ALJDJ}a&%R*uAL@pS?;kZoCa=F5#~r!zp916GiTrd*1zKOaQ1x1f|OA$4K?w@ z`q@gYGKG*xq~k<|PGOykEEF}a1$Ukmf;Tj*13NYGIPO`&>Z;Ae+= zbCaz(L*!mI1RfRAmDkp45I_4JOdD{d0c;FVW{e-g?D@plSOHJKh7uYh1h4%b#n4>U zkBC=>(*^1S4~w~nUMG5D+uk~{c_~)(=yW8=6dVW|<8A;%*~oGqjz?}y$Vs3zz#wL0 z2DaIPJ4k}Oqi7HD(>RE_H3p^7o&Ugtf*tA?1GZAR^4{v~*`kg(%v zTgUFm2TvvFeun z#FA8{#s(n?FE)qnhwrOHnHU7kROfSOgOSMTAPImHT6P*|8?5>g+HxP?Ki?O2aySwu zjb(xRG^w!+yK0B@Xhd6JL;hmo_ZTz4aR%>xsllF{;YOzJ6{JoZt^yum7FM0RyToL^ zpCIr56Zsq*0e$RU+Lxyi$NCPOVJNw2+L${**pl09RiTUfY!wwj55ABpgd*y%r1c^& zs^9^w(oz+X0bm&@f6BZ|?wI>{^Uj@~!~b$r@SGvScZ_RxD7fQ1a|JNI^=Htdmfi)#{*~IgZCU)86V+jNo{71SK zorG^mf5wyCc>jMaCR?nRTU`w>r#ES8G z+SF$oodxWvv^Ho;!w^ zI1CJ=XKP!!+jgkhz4TgPjJ)%Yj2Hj`XyAp(r=5hF=Uv3ke|PZ_6b=?**aZlLRUCm6 zEaWuB`||`@WmF2=noPD6xPAqaY&n?}{5RGf)Wr$@`{e&uf%SC1*!2z4oX_*qTFyd% zH0!K2I$9{jP(6!vBgPMo_>WO#S|;vp0NPY5tr$Za{xTv-Xz#d>E;8BA4x$|WSF)1+ z4@FA3e)X?nu;zbxWgKJK-#+JA>F;9$(GbTqhxYyz|9chgvkzifSBSZ zly(wBNbg@8E&f;k-j%ZhA4(_!GKz_OH#aue4$B}((uP^RH}f2>4GHV}Y*8B|v)G&<_p{(V7B{RiZJc1RnRndR~{M!G--LlSL^1Ay0deBxp@lgEf+^Y~F=b0jvOrdf(9RBZP9CgnB z%_6b!2S>`>x5Ico`BKC+#seYSW{Qyu+sUio0(MmVTB!DiTH@SZ9hyC?;OQ6wddz#h zPghb=Ao^Gb@FDqsniNb}-Y>?P_v1WY-yrrG&p!^dq7c$M|JfCQMmR7W35Db+>;$j! zxcBfybbu9Z{6GTxj6PPL{$JKAZQNYA`r8vGEtgiE4))%H^o=QgN@-y5fhZH`T1$ibL;0K{S9r8=C`h3`1uO}ObE-MIKh|?DLedWs7$Bv zF|BrrO^+4R!;NR`WBo1pI?edY)28`~FR$8^A7|va;fTMfUB5Qp^gR4x2W?p~MYep$ zKnF1X&|dftNhA~F-7B_G<=|&fO{Zr~}e??mT-bBjKlZ6efQM-mYsZ2q>FHQf8aMx51raOo~CtiJ-@g0SU zJ3(m3W!CX*?F2A{9p@`Nj{Cp5F_6(T=mK>w4x=(@^A&8FU7V$A>G>zh%(ogG?2U9% zRCEq+`|^?lGl$`>Fd$gQ_t%h?)ZP5Q@#&@f}tkH#|3sz==`>ynE0$D^ASju zW_xA;wqhaZ>f&DP^_;}{t=#03bBE%6axZ?S89Go$vLI$=M2qs}+t|?$Vx;%d`;r;t zb-CWCrR4%|lZc6++I$Y{u6DP#wbj(rDCICMb)3p^MBf1({#BMLvWP;aKYEHA;c0+-2-?;&Z$q38=rBdRw*QMZc3>9XUC<;j@KT zU4(#{OT;ML>M88spW>0d|v=yMyzBI4@y}LpSB1i~tx#IbIhm;&?%NT+T?`)wV$Ak5C z5jfP#$4}>G5TozNatJ-8&3&V0Jatw_Wc37KBx)`%12HV*u;`xlGx4^^2i-h@8jh16 zMlt@kJBoZ@X@4ESIF7@2;7EhdIsY$EW`Hk8`FGFK$MVr7b>W}JSAb*cMxZ`-;2S81WyC!Q{F032Am4arIoC4{Np>^J9%T` zMX}oojBIC%U_7?Bgg7cTSzxG9!K|75`EBp$S6p*yL zSo9ExI*HB5Ey(YDWwnCAtC8Y^6UGc~K60!YtFqm&A+8q~9rc4Ey(9S${W3n{A&UrcVaPKP@N>%Q}J%_uZp4^ zX@m^VV@Un&zqiFa4T(;wM8>82Qeu6!!kDe#w@;*G0Z&A^m-JPp%5-NPU!KAJZt&^o zbs!U59)sMnrKjM>4AYDE7uhO17nn*|aoY4q2MFAUMGg@RK(8HH9kl>&@r@k%#RMR%ls61nIhf9J+7-nHcslV6|oOtfO2hM( zw$Kep5G6gKhy`QCwhTEpIq*{RAl^aDH-Xr&k}6>y*{Zgkrc;_)yZQMz{dYmEaI?$_ zCl~^u2r+So*zo#q`xH_OMF9XnErehEp~>Gms5YC5K<5Bm%U8^0lJGHO)xIsf7#S3Aza8; z`!bbE!&FF&kT#qQL{|OB*qaX{%ixp6h*$@1w4Yu@ofJe1lY9v_h$Pneysh~`Qsv26 zhgDq)I1nl^qR=G;aDb018HqvgC5pab_+7KmGOkPu=x1z4@aDYdf~a{)0me1nPjfIM z_Vt9+tJV5`C9NNScTl&n)Q-(dhLJz5isS8+^5`I_=yEsvO)PZ-*-Ne`(LXu!CJptT zs|gPt1#IjR_mfAK4?82rj=x&1CoM5@)c?SI9E%|)w4Y1GpW(kyrWAP zwzOngNZo^-dCi*s^+#v7Vo1hcFWj7)z|HiIhQ;2|BbN!^+*c}@D6$2~ONsBqVs4_d~BAMV@l9DKw z@J(Y+nfnSC)jc&!&`o^b`IqSqGnYU~!C530wVnBr*4y?txv!?%I;;(6uh8PYqNq=T zJSc4Ax>8qW$#6@Bpyt0&D8anJ-{E@ z!11`Xs@?Iwqso(4y!fQ`{uMLUt7WmcO$_@*4Ez63>q_Cht-Zd-qDlVhk;C37p0=ps z=j%z2g&3C_2>MV{-Rg!P^g;<`egWsrD3yS;Mi`0Vp~mRY9$(LKtJa;$rifp3LpAVL z+`9;$t^*e1JtOeD$vy&UTz`xbjBH{nVAJr1cGa_U3lv_V!zjha-E zCSE2YVRs-Uf^{8c3F3Ss`RbgH!iO}IOeP{!>!Ec%-p?tOijIcQLfmG;&d8C-ahU26Tnt%FkZit^jsJP`Y+ZFX1bUB?alp4F{!f z&nhks=7D_>FJZ%)1soL_kLd@QD6+nvuhv0k17R5_rn_r_B`K51suIw`hq`$DpuQuh z4*7oCIcsrSBZ$7j3R+ya=4}n9m~J@KjH8s?*O)OdiF`tr++|g2y^`UI4lD4zGWY)0 zS$W@NmUE9MIQ@wV1e3)Af!M%hD@YKCiHU{J@0ChilI`*v?Bx+qY4m{gLe*Y0=n-VvrO^u40k zx$v8ShPx73kt8gG^FDTRm-3gEJ|R-s;irE7k9M|!QIEE#rX%~7PoXR2m?_1I`(1Hf?~OD=|vE^lo$0!am8 ziSv)#pMJd6IPn2oWxbgMU>2drQp=!Ot$|VB`-@Yx!XE_8Bry=wuH)FA!!Zdo~EyjRAEHKn&ChkUE$R2(_A z_jE$Ip^%3@u1m<_QI=z>C$xsJ+cvCunxFf=q26CNp0>PiHIzS$2 zKQY$G7we%fK$SeOlF;>2U4SZk%+hSC#q134v0~Af+jRI^D&SK)B(+O9o%(T|4$?~x zl1KJllx&N*&v)dP1uiZj51I)bs$gVR)c0d*zSmHuMNaeaWHJMw%nR!hUFJ8^R}sXw zU1q5HpFu~5J2k+$Jd1Tm_79k9&1Shg&;^6q00^e>F*F zRNc8^GjyxmeKuLX1ny`4DQn8U9$?7C3BG50(VP+~cM>m>M*Jm?TbyCsTzVmBY>nv; zvKsa4y;InVATJCtmn~_rm7&R!U7b>sm15QdeiQX zRa!!o8VMgNUpOgZrBPtfLq12VSdZ%VcR(N4z(?p(fCs5Z76WpEj8?IAagEr~G|_g> z#G0%KQlTN@m-c`G!aol=_u$J_q~WDHopI8Y0>Tm7vf3LcEEWIh__Pa35?%hqIaPv` zV`gf-3pm-Us~Pa*D79 z>l(8NZ9~&i6%hFvaLJBJ43gI!IYF`hl-r0WS8BTyAXEAR??~U95hO{HNtkDVduPkg zJhUDOK22Yx@PwB zET+5rs|kH1o5a!&)Jm3N)3Cw2D2Gb-2Qa7fEvOUO>5JO!H+X|_!9Ey9y?1tM$-<~@ zm~E%dhSm{I5y_koN!@>*?qZhR=jkF>GVPZoL=(-}@UdC83a&cgx9xCz?;Oiq97H?t ziI#EWrE&2f{Wo@+rl}?{7r)V~g%~cehmrqIEa7j2e0j(CpuLSYn7z_871nLv-*9KWL5S(X-JkKGDAMUgCx%B)Bb_u(54cw8&h5yQwQf zOu?}&)V^AB$Ro}x+ku3=K27X(pyhF`fCsL*O?qA!s0o-6KR*$1|HrpBX2+}^?xh}9 zBm%2;DzSTly=OU)CQECb<5>9P_dZddy07BWeA}#E(hqs2qvi5O#4_M|K^$A+3DRy3 zfJ487tCZR=rlFw8WbDSF{6>N+ymmrzIsC=dSN>&gNovWce+unW&BEyZ%qvMVVpBPQDK7*d( ziXj548zjeq%P%I(E|PNs(e?o#uc^aI%8o{r%#xRCBeVPdd^^@zw|m9Gv?0k0-T3NJ zAx8Pl-J7JJEhsG6n1@4`s@_>K)Bb7sL%K+ zF15iS&|O6+jp2c~yu@_)(cpO^o1C9>s+y7SIn}5x%bGX;$<ba_xi{-Q2)QgEGsYT@^thLLAGbOWNoQ%H4H*RxYV1 z!?x+XcLJAKBoiNu9ie$?fUGb#1jSGZj7_s#3YZfIHDV7h&etS(W(1?Ay)4*~G?D+p zi`Vj~b+^iBpk3b^dY&fItY8j;-LV%Ze|;-tAEbsiK!q12Y!*{jgQ=hc*o$){FPJaG z#eP70?UQB_Z;W2S(YJi$)0)x8r9%a8%$4yTzZP-Q1<{PQW0m9FU@;p_XO6Cc-;r|n zRPLE1eMxS6haUDDeN(1@4t3>PD@~5o$+-Sac3A^6CRSty5i2tY_0lGD#QYc)Fr_3$ zuIETPtC)yx-apHBQI#q z+)qMZR(Q>>;CI(OuO7URy&ROiB-ons?7mm7G2%FxC(p(=6|4zznv&C`XI7!f9C{eE zG_iO-wAgD?zX5WpleQ9P1{0HHJm$P^rA~1?MZ4I~xtxw2ObbiPUje=>vAMIa zrie_SRg^p5&{9v@|Ab$lo6KC1?VStx>4&}QF1p-E!{N0TID6Tk9$YJB}Qh{0D)%yMgvkB^Ox@WqFaGW;!!j+TQVT z)5KH3zP)`f54Y=ec1Mw5P429RuWGd5e6}Ox^G9O?ek~5X>a0$9I`IZz9-YXBe~FmF z=x(vc6ZCI2R18}qk1vBAvV{Nx=)^4N*RBU>D*-@^@fHDmFymli2rX4L@+HD}Ot5?O znG>4H>2#KBbIO$7t82Tk84x57h=wxHH!tid4*O=5E1m`5*+hcUw>nl-_#e0S-ze4Pk;8nO?)EWtX%t8cpHjX-*R6Ob&pO;XiTqVK{idg&rDLKDiB z!TU+8EYA!sXw5189UpS1 Q}u|(0C)DzU77k8w8Rk#znhB@sKmyKHL$%TkMY_O|2 zagZ~k7iDpt-a@JikVxl5TYk_dmu&*1smI(CN>Y3JzG(ki|4W+ z%S;8!H69{yCX;gAc{o0MM$~WfgotCYf6eZ@n;`KZ4)u%LBF|$ycn^7o=gdLx$v#S| zwMca~Tq_)5qw_3%OgzYYEUX|DstQlq+fp7NEuFP{(7g{TVxHB^LhAY5?Ug_gLKU1F zm;jL2*WpaptU{CkrUXQRTt*dwB+)S$iTBDIHi@&TmvC#Ua<8LZS^9>YewD6Zll7nQouQB zcIL+K6(Vd#hdY9S)_|xYAuLmIwu{GH@xt%?&k38hj}rB0YUV}Uwr5l9<= zs>@=8y~5a!A9=?+vwEweSSuEdoUwzeJp;37fzsjP=9rw@55?oM69I|xGGe(bP`KE| z#keAAUr+2 zJn5`SRD~++b(~eJLN|)Guf#7l)W|=uP^jOI4EXe-m@3^_1T4>7ARn-b)6B!os~NTK znsOmVA@QG_bd!slU+447BKR1KiCbZRj{7Md2ajQjemNsg9|g7%&-dguDuRM(U*OYG zAniik_~#H>)ip$tE##A}D|4R>Fo-_cT?P*ylfOU3{m572UWa)8%}9F(N|H79(s9`l z0R92%ri$Smb>5T=H;Co-nf_MY)_ACjLybFof;?-M{KltPUtmgfXb5)|LPSFe&?{#h z!_tr5K3!qQ{@3p5yhmb7Yb%QQ>NoLBtz|g4o|vDndb;SZwKZAAaq>I(E$?CYVc!j- z$Jod255*J*-ajhuA*b@HrW9o{;0l926w6p#W>XT;&hIbcPigQGq=?|SM;90n@BISo z0CW>P z;m#$fA~xLUz2=sS*NNRgO)Da$r2GY6`{{rH9!0ip;27?Nc zVU4IxW&VE$*~|x^VSadwn)W_fDP3gmK@dRJND$ZFy`{~NPW3>bf4d{LDMa`{@T$6p zrv_1?&RP75^HCh4B!w#c^7ohbZ%04P5zXeCt7^6q;gBkPg8e%GmQ|XDNh2jVPy?FW zQgPsW{17~$gzR&g;%|nr zbkxyhXWt9@o$J}DqdNPQ`m9)^7L{?fExm&GU7p{MoA7K-)l#Z6cC(|~kmOfI!)G0-UN$ptNiWHH}X z_@N@y!(zN`iG2rW{QdP*hz5|qZNF}yO zEc+mWg?QpOOL9Wpn>6FSS%5L_uYtA!4yebz!Xfjs1z26q-7W)F!2{tBm_&?EOislX z$CJbkisE&_f5r?t{F{CK0PjnX#~SJL>4nIHrSG8|RHA!|2?P&{@P?&pEZB$Iqo(mI zwDX6GPd0ThMOmY3f5(efr+*vOgxW5x$BTxODUeZO zQsl3ml^;V>4cmx76#XEYdBt;T*-d{!b4fi;0)*P%%^4rnASxPXs04iuMI!_2wi6>X zx5yg_u1-+%;v&vuTn_vFyaY^I_NYH!H+PBG|25{?sd;bl9p;b zVq~xjq&df)oHqh$23A$YxF#!YXt0oKLqF>RfykbnV5lwx`zJ^3K9i-Bhe^7aODRjY!2 zN8e~W7iQM&(e*`7wdQra6x;Bg#lsI@gIgdeeDNwpWR4B z`M|yvgX()wVT~y*zAnpjTj>WyU!QT<*;*~O+c*>yE6c1s)8Sp}jMdjUu~aocE&@_% z*e7VUZMvAknbh0`2jE*15r=+cwF!rU?{d5xX_QKUo|Bc>CC4nWorQbM<$9TJwue=H zikCpyuybmc1I+|~4{wr55+R+IQK`0}+cX!ny3o`Fp9-E=Eb9`k67Ox8uWyW>A!a!B zYvL_g+~#~&Yhe0GG0EPn_jAUYffPbrg@mz$d1esl)y;BhqPtvUcHFh?2WQB!wN8Sr z_O2$n$<03S`2WODD9Xv9HSzu#3QAPf+e^kWZJ0;Qq638xPaGBqiQ~TT5=oHezXw%a zC_))bE^Xh+5XPPPcJ!YG35vc`ao)8d?#EBb`Plpp{oIf&8n`Q z7mb+8>VSj9+`+BaAbAQr5bB#tZbq9b+&A0Taq&4*0vnCHbT(PjghQ^x2j5haS}XR} zhmRFT|9!Q1!`|Di(U4%s*<+1hX6|f@X0yzze}`hB)_vL;RJzSHO62j!xeP40mVkAa zqaF_oXxamAj-Zpfb*La|%hc1!?rcR3U(E=yIle;|flanP6i9oo!%eX3D8sUZqCkdqEP+f2x$IAuc4$LhpK}@h z3-nl+_p`In__YvpeFyy)*9;9Nv15vrH~6xthg>%bS^nx-F?r)|D#9WeVWYSA^4{ANM0z4o#CN6_u#`wBfJUkLN5icSjiYNbD`5>QtUOQj^^*ybYg# z0=Fa!0KOu#Rz>;`yHiEWZygkA&{70j_)^zmh&02O_}`xek{N_8zXb|uW!C`5LZh*# zyQnVh+8LytAW+lyICY-SB?ZrYVLRS6(Stq&00}Kkdr;sNzkz*JpL?O4uWmPXW=qxz zNJ#Eh6+mgW4gb`v0gSTxGp5oZ20$Eskv9h5XWNp$^@(NNgVZGcfWX&ARYbDC3S)yL zC?YTsu*FiwFqr+!W$*0Y^hh!&zwNQtV&EEbtn|J;c4Xn??f|t5yrVM_Dmu&ZO#?5=366=+ji zZwNaXYh9!-x9lp-qOIfsRb}luJ4*f?)KFp|gVV-r&>j__3Sx7#Dj#GM${3iZJ?bJz z-gvn9Cv3O<#FQrJd>@TL!GeyH>wq2LIQbY{p&dDvxL@~hW~*Jt=U~)hZA+SutEsER z>IHBwte{#+Qs7bP5Ol-%nWrkquiDX5SjGz8{jQ^cn?y48S)kI$#OfsVzL^g9xox~mWTYKeVFvwu>M$uH4Vye%CHdp zf?6s#4$I7F2QfES`(XeWY3^^*2rKrg6&lngw9Y^^6Q(P0{!g<$Cz%N-WxI~SiC9jilxQc>|CufAhBFO&7U5uVslr>t;e};0rzxwT^VJYu+;)$*o`L_p|Y{X z+UaH!?=8YMQ3nG&TOe18>FP<6CkV0=B#;vI+-5!b9$cYSVbj&T`t{4lPIh1Hn4ylo zEL`Zs>C9FG8}NqCO?DeuhTU2TLk>EJ?>_5Qi@0rPZQ^%p?=^y)OnKFCH#Pp?3t-xn z6^fr`4wPCf_ueaG!e4V-DG&O9G(Cj}{`sxuu|!@&*Mwug{PO8Nwaw+5Lr|~jyS~iM`yDIc)rEcU|n$Se9LUnNbkd6Gt zXgbN`9?c5bEE}gk5&f@0)8FRRdG1vqCb-hAgdN~P($t$3)gs}PI=%OnjaMc?%?D*< zC45q___U?)OBL`>2jNQxQ&n{a1fal)e!cS+fKY%v_;KubWVl;=DXW~}+%ot3oD_^Y4q?oPpH9pH_n($BQib@{ zII|sw@W#m3#LFU-=UyIx!ha=EG}iRdXsqPoWwBsPF0p^@Fd1D3xnsAjpj&+Fa(R}V zIX4H#(($)muGbqU&sL$1^8%rEgqXeAn_8AQE6o-;D$0hbHR7!pF>wPXP{yWMGUmHT zrwj01X@Kw_ev-(_Gf7PN1Z zXESAca)lb0T2V|l>G<5-2Tb2BrtRl>HDR82$r#u$r?gtpm#CN+C@Q)hbx@NtasO(s zwB;Dzj0%;N?vyjApzpeU+_&0m7%GNR;>5}^;V7*3f7Sw!m^JZ%Nk?GZ}sPLC!q<_-!*Rh~yTfnL)co5p5oEdp?9RHX%2 zPfQ?AqSC)rSIOP8bSJbUFtiqQ5<4$;n9yDQ>0vYb7M=VI;&C$XwH0(Za#aqZHeK*X z?j&eez;updTGnErn`QPAt{{sY^K_vMY`-cfOThq1Oq=pLsA(TqSOe{=I+m7&;Fs8S z?6IlWS%KO7P;UcJjgHhP2H`0xYO$RM_=nS>9H;(6>8QFs-+Rl7G!k2F_}3?KsCK2C zYIb-N#1uP+;SYp8`t|CO<)F@Rb3b(DwLW0o;>X4S(b$IE z9myP_!buw{<^>W5N0RG?%sz^nEwE!K21Fa+eYXY+XYY7sr{lc7WAfHGIwu0N0tE7e zJzl=NeYhCfWP<%At!;S!;d9&7@j*XJim=%CMhQu(rBO3i;b5EhF%5A%o#%D2BC8bh zfoD4{%Lz)ia4cr}$FO^O2|#aaWqZ4cP^OA_t{P}TuGOtEt->^`BYcN}?{~nIUxQvk z#*P0}uLwEpqoyq5Hh>#=f8CI4*yLhzj6(uh5fsWSc4e)w4Z7-}_N)ZtC{u!h^CF!# zea83Ohg7!O^*I~^%Tao!6+vwmJPj+TtI55^`I1ki1~BecYTYORfDS@`L3iIlnKbPQ zWfCf2L}nlvQ32A?kpQm2rt8_(9|I$woQ5pp^1A@}+tJG}WuP^LKuJ?IQ^&|JyrH38 z7d!t`M#)F@mlijbhrWd1UAK+{be_amWe8UUL3k_ZIv*KS9y=40Cfh{wj@vY61#A|z znKkp8uG5yjNSd9g=iTS$oasqJFGodHa_nR5`BpxaP-6Q3F(ltYz=?@T;OPpc=NZ%6 zJ@30!1!`R@)cdd{Pv+d?E-x0ZOh8Xz3&>p^Rk;QzdA6FAYbz?HaHf0yZ&gA3nVZ>L z;^3G8y$5~uBiPW;u;l7(FuSfoYkYGodkl*fsB3r6d^R&d_a4Da7^LqoncW4)mmAPYQvd)mzB9g zb@M6}sQ)*{e0c$r0;VCfx&!TiNr3YEF8EKa3&isFXgBIBleVhySXw)}}+M>mOX9)zuJS@D%ioYhNktZzY>$7W|M zF)gX!J1JJmn(=z&z>Z#AT=;_TWPpLNGPY&@W$ijZzFEhIC5S5tKQG$(@qpF1tAOIl zp@g5A|D*zI>tJHMQOuNZ#Eee)My`j%!0vZx1O^3pW;P zVd#j<896-l$2HUDEvjdU?}12aY2DAr$bdkA<+~pn!J242W4HXuDEZFYV0Gae^``$G zY2rh(13j8ASd$49q7YlCmmn(pv!rwtiX@`Nf%u=JU7lTBT?XBfkN?xSi>ncW&_kG)c!{HFD(EaY>tDNptBsk%W@ zc=93pt9*pmFID4^;)3=p`JoQ_QmsQWhM43l!B9 zz7Zo!@%vLeP7$wh;O*yZH`>eIOt2Qr()`0iA~@UHy@CP9{?=XTW#ugQn?xIQ)TRL;TO5;dHVv)KsWS!Iv>p2zrGlNaR-lsQJ7v z?gE1ea+|b}UbR&Miv5;J^Pv&H>G()>!9>$;T zJkZ)ahh^zTUbVQ$8;>_j$)zHDc{dC8+&!BgWbZ;!#z`%FBPee&n|#HmcmHBlu>T}o z8FaN0e*|C50{J{zC}+W!&Kxi&?M4!OD#Ja1iX94_2z`Zq@yc6j{qSZ!!a?06DI7ed z5I|GP^ABGo)(R5OAULAN9Wl1@obg7(vA4yzy@t(`ADT@MS$I$d<1d3J%DU7VFD=ji zoJ=mH^&jsx$NupZ4O!9`sCqTNyLE}}ae?R6K!x>4LDn%2@2&{iwDlR*dIQz7fRn+0 z?ieR!r|_7?PEP8k4cYi#oh|mn1s*+4N={~@A+u(anS>~Y0#znl8_AVZQo^sOsQ3u5 zMH~2<4Q$$a&@|~Z+eqlO;KSm%I~RdR>m9sxr9Q0bAW(OuYS>MNZIhCAH;G~WFqEDi zEafh9Hkpi%FSzx(G@<|V+rb2-68~%#wEgice*C}(&7xKy`#HDf=;!>%Z2pFD`29WV z&mCf|qlkH$ID7jG=TDX^Pxtk^e3jD;Z>LK9u$flhyp|U#>#N`cr0_qE`Yw*pQI2Pz1TO{GF~9;-B;GG)p;= zJvS30?ww$=6y6}X1AWnW1}PfG#?hFs;X!|jSf)>!b!)e*2S;xGG_}}&=F~2Gjr^{M`V{IdlMoYJ0nWTULldP_tvrsB|^$xDVytY^nQQ7-`nrH zu79rI_jNnB>XzgAdXC5QG479bL|SH2aYd4;N92P{#NMx;bKowg2SHl}dk?ig4)HKK zi1vS0CV2Syd%z#}fb_ANP(NJ))4H;Z$;0}|Wu?+?gyP`0xLdBHCT9AsV!$DCX~h

    Z_nJh-@(6xb5`E-=`$igqpRo~s{uUdde(#6USd9qRU>rXv3(VvRH% zfJb^t4U4~dOJgDS_V(1J*3_g3^ocKvN0XX$J)i66!;Lp`D&u((AM`n>MLqh%7b~7+ z3CD}moE`IIx$kBoMriM;kmtZf3cOQ1czOn96g?{~EH}g6vl8~6ki=MEy(~6+`P@I{ z<{L7HIO>ZgHjvD&5v_QEy{}W-vbYYCtC-|NEEfgQDX#8u9>o{K(p@ErXdddBJ89HC z6sc1VsEON+`E(7pkl_6_ALMjN1RKFdbjRRLytj|+x(lxfTp-du%N0>&|69N&AmZG1 z9)5P#u}ES|71@FBs=`5G<=hT!y6H^fgXylV=&_lhgEgj&rZ6g%Y=L`n)&wb>9CV2} zW0VR<@#nVvu{UrzEth^@Nxz%!svCSe4?C5Gf}W?3QmA+`R(raH{&#Tqr*jLNQ8^z` zegqeV7^Cj6cCPZMpeS3#{rvpqAb%N8Zuc7wL3kL1k<4I-M?*uyfP8-8p|u|WV>MEt zr}ktlPn;LG;vb5{dsq1QM~v_FbD_h-f>T+5WJ7u4?OtO2d|t0-Go0I1o>WOKx$EEA z?Xi?%-&JZ`#p{qiFH!r6%F*Y{JG1o!HT8N=D--QAf zOLv81_ZxjZ8&l3s#rUzB4h2#qUYY`5AE(&*3T$%OoscvO;c?gY!ve)NsG9v1wc~ne-Uxvqm0dSB`(i zoyxforgJ4$0&=f4oHt24tnHa`Ngdr6J%s_4^!{Y>j9iZNB<`CEJw2ozI$wxYoKO-aw=%!wiAQwp_V;t*o6on(P(zUP;A^yf2gr z#cz_jM+o%|9aJVTis0cw&CVj%^>S+q zSr^qIRANS-gi=vE1&PIi;QkHv=>pZ_%V9sn&vZ}(^f{%PaKs-V zSu}&Uwvj)ys`3ioM6l?R$K4{F+0x{BNjk~kQ|Isk^n*sf^`6$_1M%RknFBPc1A%C6 zM_*kFBu|q0gUfQ~JB9ZiQgYw%Jkwo4;(Y>VjjbGNT&hPT?q>?vuU1@*9}?fDi&I4D z5q2`8S*D#wXFlCjc3S*nRQfe@HVet%xTQ5I4NA}L$RmsOfK(&>J?}pyXDw5B}DHY@V zBJ%0)dZmruOSSCsF^*x>1VyXB>Pqy>TWy{}A;0h9>B~F8i4|1m>ad{0Y7mtwOG6_~eW! zn`n**K3xN&a^B_4;7>o=vgMj_qfNt0uqLt2K35>P_|uq}p4v0u$bUUc!ec8dLb5KD zb<$NLY$2ltLibtyDlOuIOypuq=Otcu%J}d$yb9(M$~1Pq`$j;KgTPE?RfXdG>r}JQ zsv((L>xLFJFY??Mz&=Cz4j%XUmgOhx_Y1#x@yvZ(nY}kcoqA}&l0RdZ{k{h8#3P~M z>Em`Gk~J5+w8tU&UC*748lBHAjx*fK$~*48JoK3;q9j3{n<;td({g0DpFKG*J+rOz zLJoatV+?vY0*@_^>E{N%NA5^Mx0tfz$4_ytewZ_gE237)$GV=u(7(P8O2WZo7eq}laRzctH*@;S*)c66gRe%!Tk3OOOE+Yg-kaMB|IM)|ua zz$)^ptA(F7{mvfvICs`=ahp;7J}8|X&#<2~{$LVm=X*PnKWcZnoz{ZkptFKW0t8g$ z^m#CR$myq70rIWd&s*gtyC}lTk0g)6cqqjrB<28GjN<%iMzjK6I8#BS0Z!p3aeAl} za`F(AIvK^Yp)D&4$rFg;55)Rq`ZfMJ4(x2n$|b#qql|~+7fD&S5~OiE)t0;)W2oLs zN}^ClRR~ntoSnK}X*U|CaH@xegIKPs75{7{GBi|ltloQ4v(3i$hMcX9%^5W9ZzP1E zvg97j{@e{cUYDP(hzJ^*2;n+DT$Fg%Ufc4U^Xc)Q)H=W)@tK0^IGsGS*-;hO+vZRe z_#pCwYB-!=1qdwO#PqE2K zPRGFJJeNA!%}!^5i-yjlp{C)u(tKMobVV%q&lJ04rB$qarKbf6i}?XAi}?=jv+Ex_ zazDrI=IKpH!##_=F-6O~TiuCAk9~niOOUY!45Kks z8X;%T@yQ=;d$;%{gF!VQ5hWiS@t|HkKizRqJRLbVytiu~r!nBZd?)E!<8uX}Z2XdF}S1*%Nq zLzk2tMw`nc*jNBuaL!NcO-a^W}kt<)*MCf+HqCtcG>q`rrXHRz1{q~W{T zt!U%wUn!Q$R2&8zG+}5@qZ5kO!jZV4;rW=#v-jPG+h>S!2MeP0i;&OpQfq<@Fjl?_=qULv^7W8`&p& z*>!-~&E7&#IKD(3|4H&;rk~`R-HLXvAB(%C6MDEu*_`g++|KqIs|WO*rJ^65w1jh4 ziW%|7BMBop_wo7}>@t1+cpcH2$BrcEdCL(Wp5qMCaAiFi1;?E7`@nT@k+BtnfsJGgVZKO|buMzoW+W;KQ-e@^ga zUYzFgtREx75_UisD+i?Rr^qLVD>g_+f$mxN>1Twx0N7kg3WRgOJ45kRzi}6Fm&rN`V`F1?u$hi-UiB`}P6weklhGmQBv!&3<629KaBaQUdE@y^`m^wY zq;owg;++)qKR;UuF4YXiVI!-34JwoSIUb`#WwJk{o&@XQk3@;;i#I;Cf|Tmum>>>)kPaq~C_e zXlFlU$=#7=U}Us?Iq|}MrUUD;ABk!i#m3Kzq5I(%-l9fR6vx+K!5p$#u=A7p}bkx z(vowb62|~R|6z*!lzri?*yK*edtU_F7m0GmC{a%pQIERe($aUQR~7ds>@;DB+sJR4 zQ&_M69XERPE*{&!S&j88LVpjLJT_;%9EZ(1G>sTb_yVEU27Vz{(rWe-;*7d3{_nLP zE+{^|)>ZF&{>q&!NnZ!~DcPDcrY+KpNrgFeRJBtF1Z&nubRjlZBapumev3rSZQu`0 z{y@74SzqRoZ|QE5;B041o2_yZQ`pRz;}WUjeLG^WuB|_;B6fEswMxenVR{hE^NLRL zQalfi?9ukfcvFCg@5(q9!hf+aV*_eU&uz?f5~`|9C@fkcnYp*PLJNKg!%*S z&$1Jny!0A(`A6ZQf+7&o=8iPM+r|itSwS!CoE5|`b%tT zmJEqsQ@ShJ^>j1LmMB5KGzQd5JUNE+ciL7!>!{<=)ymx8&n*f+71*=S%GhMO$ZQzD zPb;kzcnLV%!XMnBc~YB?;j!%5g`JFDXMSFu*@z-1R0T+j?TzP^#!7J6HM-TciRiBZ zmopNe{N((|$pDTGV*t<>ULVzd7cD^5b0dS9=PbS6RS)}SRyVyXPZdR+^Tc-LibrB@ ze_7d;KiO0bK5TC!h|d4gxJ;tLXZ{*{N2ZCij5Pqax5c-EHbu`yD7ShLw@g2pw3xLr z+f`NhE(KtyvG4Y=F5efk_HA1wQ;Z7ZHL(wl9R~nWje;Jmoy#{KbbU~|tDdp-de-5* zZYQ&w^IZzZPj|Dlv~tkGsyA=)UJG300^W%T`|7Hyt{&5&uP@$r&k{+=^{c4>NaEy5 z^v4pV+uaF^-#VLhydLBHtgI&|d~?4;7*!Fblfi0{fPXzgTrM)?dZ|=P+0AFM;iW4r zGuR(c^P`6X+lbX(MjleRbQ^_KTC}}s%;y0qrJT>g^DaP3852P-fu0QE4mHv;w&2HLF zC~VFu-{5{n?%!B|!x=Jm0&GlTToV)=)reL$XQT9t(MntSm9oUEGIz;awDvdXSnbY( zoi60C2Tp$bL!ZASf(rKBPYMTCm-`yY8W1RC9~(Zms5ASYJupgij{i9;om|kfNTfJQ zusfT{sFFpqr$TXjKkQl(EueZQzjuTzgm|e4XZn&kUVK>{e|dwtAG?zLx@RKr>GZnJsv^PS*L&)Qi!dYpybyR9|I%Tu z(~V?4RX>`TK4HK=H|I)u?_S4NPMd&okT0MDb75x=Ul(c23~#_SZs8;6rm;nqB-X$R znn0nijHhyY4F z4lX2vg~12GMxgNVcd1$JC*l(pWHLb_i)?I$bqGD=>!BbO|F8uRU5vc`TyqxW_1RWk zw!q^CS;YlWSc(vu;YrKn8C^l*IK_J=pX1` z_!tMjFy5m|W>-*{`0YdS;gxFRGe;?GeGZ=V5n?&ks?uGszX8bkB_`%$NjcO7wz(8L zwe`SA6^nxHQk`dYmmIQDjoR$z8Ax^hn7xW>M1!6zU<3QCX?0IC9YQE(XECAn9cSraCu$c?EV~$T_ zLfu0fgpYvRSVHaYb~~U$C~3?r;Of7wPobb#>TK)P&I4dK1a)Wn*1g4(o z!xzIN0<Q)58prvtX0!@c{(ltXi8zg2fegIi)!woz1WY4j9w>}>ogEjfTf#b!#l zvBb%t2sKnTZH1-A{jIG_v)=a%d;6}&yN5*Z2pa>G@L zTojJnU`?ys@9P$#9(fcj$4bf~L(up&@#tWOgB&W0qV&6#K9+$3>b^dpy5U$UYGW~O z)<0r)Rtwqx&i!Y>TW3_#c{F&WI+7Pi9Yr)REx7OHek6FopxlQb&J&+8i$SB+vQmtL zA3BkWPmP&67r(69dX4dty`-DnxhaP2T6#etpv9xh%FcfHRn$2ON0!t1ti;VZt@h;V z5kPMYZm{^Eh&)Ng#fGwbYy@>66<|UeU6i^xH8oUi3BLn-Qe_g-+qU<>nO?*^LjVwq zQq=?^0beQQaq|2A2Xd_N7N+|JMpSgUwE2de#ChrYS|}8%z<<-Wsj_lZ=Y~D?Q@Q$a zoMM57O%<1n@k~3fD_QCqK4KKfTV{y7v^SrWf20I>Fg^den_AgOQ5Q^e;J4ldO(Oq_?a9FR06vb4!<@q~f@?&7qz5eQO2_b-2rvu#(?g28f8 z^13Pj8+fneV;f_dVB@6p;-VvF_d==;2UauOt9o%r5Lx)3l%_o8;I8(yO_IQ^;I`1~ z7tN=BT9omyD&*$xd$G*0n}rtQq3diKv@~Hnh1CJc^$ypVbWis9imp}2g|bE|%Mjn^*g`u`kc2@cseI&8^HF(?nL z!P=<|A=Yg5xSal;=aG$NKd(;0M{Utvks1b!_W=z)MnqewCh7Ob-XOFUlg>-J$i(yv zBr_tB$ln(Mmj>q7P`ZbM-|m-^*$;NzS!6Qduaex_0P$ewB-+5|nly6F+PKAa>-+U`*Ss0I&UAh< zo!5Wz@&?hfGO`6Ph@&MW?Q*$?%%nV(P^dJ<;be})Z3g=aE42yUu@*maZCoOSGy`WK zlAc9xyAMxgLHEK0qjby&BHC;O?e=1g{T;qinl-FoDU?NgEQ!;-J&;!a$=-+Z_X%;K zJ8o#p=jeQEZ(9p>mbZZvpqN2ChgkOyby{ah%nJ+3y|ue_R1+nKZ^ggzWp^yL+?`Ss zHODNm)F)Z0bvo(4l;4emBT#-#;=W|aqus>IdvVG>wb{KpgXpV{pIT-X?!UkC-KB;! zYy1WVc+t;^e{c5$tS#h_icqosY3u;zKqyNz?aX}F} zcT`%cYSA13l^HbYs*XG$^sqlV*5qKFh-kh`4J1jNB&VR@J#S@LC6aqTIUzC}<*D$> zo4~Q7l>#Ydpp3Nu<<@&6$mGxvYD)^ODP*389tRvkzYUfx$<+RPspoYskh42dnx}hg zeOHGqbD3^o&fvF-oi@FCmFV$1e9#}HynYZL92(IIrCFRmFD_dKwpxbu73CHRD}MQK z1Kboo`}wBW-JmC0TgeG$>EXUI6xd&Q4Hpf<&Sp07&bVNaxsOCw#XrD#R_fG|polh5 zf*pfKC9_$6Q&n6M{?%l%IK}TpWcG9y&lnjF-D8X(FO0fCr~o->ouj3OSO~*n z9c5M3-WN%~4vtDHE2DX0{UI@D1L9^2MYIMKV3RtaKrS{2RA>n!8WLn~P7l@D5wKy< zD}ab0L8YDNjDd63ljAJyV?DZG7l~#KTlSO0#cHL#5vuVBF|rX{F*(l)%(kBMqt)9g zY~>j9Bpb6RecE>vV4OcRdD5%R+9PN}T2hpERsx@0BcYrZ0ll!WS65e+T&Ej+ZguoJ z-M+2t=*Y!ySr-N&QHa_}Pa;gq9rmPK&dygL$`CFpz#||8?3l0A)`7SNh=_B49D_=!aLzS#=Gl~&cpJNx4rLU%v zA(45OsRR5!%WDSj-4fiROjryEP3i zmonY$$@510GO-6CutBBCZ6J-eF7Wq-BAu*Q=t_~-)D%44YiweIjkx|UGZH#Fke%0g zLiZX0Erb3Oc$a-|VMJBiD>Su#-qZFkJA(><66B=NfdkwQn3iIg`wcB3=n_;SIT9F_ zz1|l1c;Y9Cn-e3$4d~VsBtx#g=Em%HnoQMmQotGjUcq1>Te$j8!({!&FWHNYoo{?P zma;ja`=L`c`|=Ix6K5|QTVpI#1vi&+sy9`0oe+V(v%~wQbak^v-%C)F8XqzK`Zgm( zw@Z8%f=*c&Ge3`+O*M(78>&JNGu)8g&OTs#9Fkg03$6@(>6#j#B#br+WD>TuEcFw(!VoKmTd3x3RZQg_*c+>`^C|s?(M%H0V@K^X zgHD)qMGOFq>0XnFVPh~ug!|#H$04L}^+J21Gf!lLXg#hB2)bJlqr+!NbUq^?6BopFt5m49w}bw!~^ zU4d42A?Q63aNpUvB>DFZ?``wE8FWom#lK$xi_g+)-*!0WF92(~ve_mO>2XUtu;>Db zoGx&5h%OsiCP}34L`esX)(nd3^8+U=DJZ}Njq}I-FU!lzo6+)zSO|A0UO5BJH#Gg6 zZf3+06)7Vrf_G=4F+c^d<}jbf&}#=9E;O)ZTPUbas3O%OKI5{_6s`Fq{i|h9I2pzK zJxGVO0iNLxtx6t{M)F+bluo!KQ$OfX#HszG-nA8%1d*>pWO?Go#@W7_!F^{1mEiMK zCDt}?WUM+@P!+{tsEmbn?YoCJGVD>6>PTO#lNAok4+89lK7VFtt$h8OM*J~`1!9`G z3@mfa$tK+B;-r-8-Rvt60|k7z^!an0MRK$e?~tXF@bZS1F9~a${=M_$;qsjAY|a$- zJJ5Z?d@4e>mvIt&pQ^;!=4HuDh^nchl&TN~!Wse()0g7DLbxADBlv7$q=g$4B3A+3 z5hIYGLbnq6J@r--t?H=}e-*8?V~E575uE14FZzgAJvHmSk-1a2e*6zlAW@nK^wv3| z*h~90+7B33Wk{wH@~?x#&^s8ehN<`m~HA0$^+V= zeZhFW*Lko&pa%S%zG`B`3yTUTC#Nt_PeEc5WbyxAE$VDO&&$-lc=66$=D8jUN@U)O z_xHZ!0;U^p(l3oyI}#z>tDN#E;{84!VNTpvdc>*wzShGFViv@y{hCs0>S@hjWE5n+ z?SB6s&V^CLIC&ewp0?Yx{%fNw}EYcwfy#~Xpxcrfoe*LQFb zH5QjxLUwI2hBFkU?ECP6)sL^=B0g{*7J_p9K82mg0S(GWzVeT*s9cC+0|S`;BL0uU)QrS;Zs?R4utlDs_hDV$X81*u)o_6;M8Hch*4fYy zMe90rcmYGF6Z){|85*Xh(WNxg`JC*exec@PDC19lSQWq!EBATIPw&|09W_n08+-#f zG{7q6ada@pgnrt94hB)iHLqXytV5eIQUE031HEcek3VDfO7f9l@naZ5?e=i8y`!dw zV!}D8orzK7)PZ$IRA~on{{Q9fz$mWGzfB0j?^n|qNQI}J^=iOOWt97)l!-Vs?I`z< zSGKm5*os-c3+4#B=ig*(4qU9n0LHtUbDLi@H8ft>cH+a~@xewiByeBaEC|Gn`BjP; zB}L%D=_u7hPRw#KPY+y{p3Rga22}VEL-&0A{OqCjGe*us#XYt+5DIQrm6Mx`1&0Bx zkO0{}z98A?4Wpn-T3s&iJ3OwE4n8M~SybmbV_E`GtA|Iu<#?l?0On#qcPOol4{RQp?E5qzy`Q$NHm(~gD=ljeQcpl~dGt{Tkp>D%aLVHIcOw!&2 z03#mktVe(NiGy%@Wl?VNiV&ugB>RVskdTlnF%2^tC;tf(OS;OT26se(_rF7}JY(0m zL=)y@_J1X?<*`cDfPngN{c|7^DY&@5c1L=zONv|2>a6S-RfLL~M1SyqFWcyhHi*V! zivHwrV1XU4h9i3uMgQwM%0 zN&3X`Tz-K_%WpZ{(gZylJ|H&5LxPNrssC{UI`p3-2+y%e>(A{XAjYgFLFXNgx5kR3 zxCyP!voU$QXfpjD_E@l_ z4=CAjAMw>8&hYOzq?h67@z@?LudVe!M?(zDhcr9IbVo#3x1FMr5)K?O6dcCN(vkgQ zOvm!f&&`QRYLJ0O7DMJ?U`y0!i=%MT&a}8i3kIZ_7_sxSjbQ6 za1iEYx*5nLgbgMm3dQl}J63}ORdF3RDTO1FCd>#)PVj9oR|z8ppp&iJZm=98%%rSa ziA)w3SYlKZJ{1)e57W(kUa`Lebe;}CT|DlggnAT(m&3=cer^gn;9(5C&##D}S=r{n zTFZeeTpE}07g+Q2^Mop;GKp|E{NWoE(* z#3SOkgs|eKEd~}9ftMqySzzONd>9}DNgN9c3vJLPXcL0e7@^Z*0&D)WXM_+M91cee zh!i_PxPjaGd_Q+KxPr(ffuZ-mwJzz9q?2UrqSBp;da)tbC5hLE%4EhN{W&lUh45atrmdJ=#-Rm z-+#hg2Uia!jffURlSWW^4EP$NPBmEYE*}1TRCpac)0hRsdhK5kT&%%y6M_*u-o(+@1Y9kf$5rOVHM?p-+T(1IBP^L1q2lbqLg$A_kLpIit8fY}NZ>O$(RIMj}S|JiWzllsCp`QA<_`UvKKe@J+pGs2Jt8kQE#8hG6Fsj%)r5Ux>yZ?Q;6K|JrxlGk~;Wne1qJ(XAC8)zsIe{ z7M&(`KzfHIBGZZ7xEu>pTnBRr!3VbG#rb_=;L}^z|D?{p!*@oRa6yNugU*zT6Km z0eav<2;KU`x9~d^9e9lpl<=p`E;8 z#SpMH|K_3iZHvPlh=u^>Y2JSNYiP7VF*x;0@l+m?AfJSsm97W_qY!dLKDwUK1$LFm zYXcHfAt>nJ{+C+Uud&c^EnzR%JUx1no1o)G((Qk2?3|Y`y`ChWil5|6$tFbz^!c_O z31Mrt;5oikq-#u*NuGx68=2l+`bnZO$sEUX#!(w<0UV;Kfg%4}_L=X$dSy;aONc?G zCWg4ubS5mz`%s|RLQHmYF|B@DF~;v6^J%Kw+{PbNUifb;1a}q<#8E+h!RJ_HBnL;H z_nSw&Hkhq{pDmx1o=$@sp@;!@plX=0G~X#X7sOCs{MY&;(5d;;F+*~J+2RxAXt3!D zAaw<eq|Rqcf%o1Ef9ywvg$vFEO<6X@6#1hCrA;w`>QVkA=wNne}Tu zV1_~_kpN*~EJh$RQ(>3CuNwGcr_Am7U-#VnRg_LSfw$XjsW^F*6yL3)u!JJeQlROl zl51soc^BmU&b3xvYnHx7eo8O~jF6<3r)a$f2^fJBSfaMzmkrL{2ov)T&J`RRWX~(l zk0m{2hsXx~@`a@C*#1ZVhbw?&0EGJV^o{Ifx?{%!71y6Gf0I_s|HdGVDxi7x5L*Sa z<0y$(>PuEE+kp{4rg~R}YRr;XFJCRZy4|$ZM6T}(VWgNxP5B(J$+k5ggTi4ee49oZ zjW&ukY&-p#XFP-NYhW3h|J-T)#Qwsp3Z^MGu+8D(!?1!cN8jFbMWv;VV`1JXs)$LK z74loN;>91WhecrV= zQam&{84pO^H%ue6VRi~G2jRCMWKNDVPx1cpO# zwF6Lx#?(H6{tndrGlLZK!yAxl z1{PnU|C6F3ZfK#5g^<2{*^rV?pTPlM28gC4grKuo6l_Iy00=&6LdDBOPocm6&r)MK zR1@O^PXH--0iCy-paVDZnHCs)|QmBH4Nqjl=USf1abdPe;;RaRq=A`-i`y%E^~Gk?7C{5FVE2o-}zdk_Kx zO1%lvIL5J38mn)Pi6IAE{{D!PsM>1X`2hC36|f;N@6^Zt z|4Py{a|2_xH)+@d5MI!vcy=lW*F1er{sW&_(!LB0X^fNLKes`69Cca2Q~4R8!y^NQ znAL{=F!;0DC-yV<(fD)!NIH6#fA|fmwe8@Ft$)Nh=ZmpaiF_h3)2i;|yWgq$xL^L! zsZO{t_G-LA-rA=D(pH4Z-eQ*t1@fCoat_>H`72BZY$#U|{nV6MNU?O6m8K>6+ZDbV za+X+UA>qS)KV1E?04lBd@6|x1&Gd|5rQEW^tNw3i`Y`w|ALHdpd^h^mk_K|xhRNN- zOd?I^*c8ueXr7?IB!fbkU!umVHlj{9xVcdy2C!eGaU`T90$B8e<~f>2_FqBDpz_-1 zTA{NnC(_`|^V9nXUJmS13$mEgAh=T&grxo!K7$fv(7`&@T95`YE{|WUpcXs-;XCl9 z2mf#eI7zknf5%254W$0rX83=jM7+Oj>i_50jr0*vT=NWs`;#T8M9lRjCGFPHi(LN( z9TVH3N4UPVb#@QIDNVsk(>N|LD+u$My+A-++73XxF8{Ef2Guz&J-vwi!r#>)^WNsf zVq^N94zvGNLqKijGuFb=Ok*SPha%xGycZ4N&hj#oVrUH>eG3Nw2xF-)4o*$Ueg6a9 zVCsjWxg`xbC@^TcY!%$}>1`~V>8E#4}W22)~0^|^HO?&^!JA-RB3T6 z_TbvrMtv)*1pD4ZTMUx%%9$GR4I0IpH3y0zzCmp=v)3;4G?y&yxdqQLV$50$Ov2U4 z{m+y%;>sUki)VuUAu1|LT;E(>eGZbCa1n1a#fSi%)9`cp_hqq$%Ks>Auo(&Q|1;+z9oeoa)2qn0Ub#$o|4DV z3t%*kg%N!Yg@uI=h3un-Z5{5tf3I_z?yd6v+n$cV)Aj8ci1QJ9x?b6O%m85A&7fvT zkwfoOx$XqcexBJOV#C7aXX z7Mm{zSPsjp&&Zdp$oL0QR=voqcZ%8gBZ}w%rUphK@Owi)=hWd{zxci{ze!AN&G0gNw;N_+b8e z4}jIiSm@E%ZdvR8MKBHn+Me4yLZ8r_E};Fxg`kbo^%z7z=D|NtDbwE>Va^W2Pn;}6 z4(C|y*Cy*RQA^Mm_M5w88man6h={!lc&<|ZkUQ5QRRGj3(z|*!ZsO&QIly*JrJ0O_ zAhkj7+OK@Xjk;Vx3$sf?bCDafw z$?P|I7jWiC4ue`yM@K(>y1*Red=)Q8mY<8FJ|BQ zLl4DjX1~hAcg?`rEqAq()SA_ogK@-8_0?AF~Hp6 z$?BxFn&E9k@8-18!WDZeb*hLf$dp%N)D>ETQg%i>R0iK$yRHzUO4I~m*^qe+ed*-- z2E38VdZt!JS{Id_Y_HQB>0LzT2@{>Lm1ON88QhxIuT~bkd)ks+wz?woA>`-e%ElKj zosf`_8hb3tj%vQ!Q%&am{ryk?IjCmNhS0s@~L6i1ak()#)VM+98*1rB}o-(k_;s})BqK} znQ<@4&sPG=D|vc7$(J*~tGm0jrR7>kt2MkB)BECy&W##-`dg3@YymZYS>!|bqC0Z| zNpn&awg?JpgrYN4#Q5`@{@*wKy?-x#bn3<4koR~e=Hqd+aqz8{d^i2we(hs3Xv7MS z4Y3L0@4x60u_0Ovo;G(Xh0}i^qVi8WenMACCOk~*TIs)N9>ctT$l3WBkl2H)tO^LM&`8nH)bxQ%1m1u*^PbADHHQ}#Nw3c*c5qIp!~~tEXIl|Abe4X<3 zw4eY5mp)l2ARwT6!o{=RGE+9_HDn~)+1Y*fmZm0+=290D62eq%=Pa$OGlTE$Z!f0G zg&dZwthlHTgQ)Zd^Rcf9{z&D7ZBhPF@4K3bp@&WX8c<1p|M{~7_HRl-d_1uf6KQu> zSKr(wst3{L5F6(UO>A9Q<$?#>+QL*+R77QD%6E5nom3$nU%tPZZ^Gp@>)OuF9e4-# zqGtcE-@nIp^7HfMnNF-*-cvI&GCu09=3~C>s}<6E^7sw}LAUO$wI*SO^>-1nA$rP6 zN(O;hVc6K`&!3%o;kH1LqhE`leJ`!9KG>coV^tq``_{m}#nWW5(qBEwiywtVO( zV6mL)Q0T_g#3X&iw-F+SC<0n^4Gj$)#0En*500cm4(njLoa(wyWrn_e`{viHl`Url zg{|fWh!7{V7sC*A6;)OG9v&VS`1nT0#~%udh)@&bKY09@aTQvqe>)GH6Y~2sCnhFh z6B3Mp96>JUE3oB2)B&?xuvtt@jP#xT?YbWcNlB)gp+r5TxdWTWDj$_E`vF)8RpcX-bRX8)ncY3-j1W x{y#As1cF%gKO?}goIaiU|1Z4je|D%H+J@lIVh#lBa3TnVy0Q-H`4yY+{{{A#=;Z(a literal 30758 zcmd?RbySsov@W`6m9$WiQc*gj8~D{t9vu_*Y1-AP@+ADM?W!1On3=fk69u z2^;>>w@j`8|G~6-Dy4D>zT7Xp^n>3o+ekjQLm+Ukp}x`jCp}LP2ug&M=o1y^xRps4 zca{0c^Yi_e-=6(IM??QXOhqJ`ukuPKhv6+H9XdvX!Ofz1H?8{G+^I58OGWdc;dJ{V zv-DD-^<|MGzMAQ1K~l?w^E)Ctb_SB@u(O@aw11WET!(GlLmlb*+`@t&(`Qladx`qNm{ z1_XNlpjAWE-G8Y=Wmx9bs5fA#7W9W8C2x}Hb+OrtMyvz0>K%q*vyXMuFm zen9regtS9`BF5!N3WNiOG?m@K9;=B^*f+3sBL~$^Z6^RW^=WQ6iXJ zRaZBm?)-EeS+m_ez*s(!vOnb}fAi+e7$L7ZVg?OLDc3*ICME8NwhtdYGW+>e-*u-? zVz--b9kUR*z0fn_clAMuVJm^Ey1IGGr#n@vW#d#*UWXleC623_m6KLH@p6+M`;%3_ zKhkUFPcLl0+Wg%-_Ep~}BqU^~%i2?!kblFQYN@D|eBgM!o;i0Y=dodnX?qSp%8@1o?IGFLZekji&&+b7O&ogk)#Tym0CLE#2NwdBJP}w>{JCKV3)T(`OmC^xPFYBAG{amIiiH zDNbn)Vg^cG+yxWYDrN~L9Y%CqS4&5Beg`lwd!6rlm3kaIN(GA45;JLMrKH^Nie{6L z7uX%7wM=lDa*=2arcj5&aOKJsDk&TS(#7x8_>|;C2sA%8cuHjhgOqF6uZKrQX2!(C z{3^R^U85MnZZ=30NWvja;dzj(XoQaFUHt^V-O{#sL-ndVj^}8lxaaN2QpRp3o6FWq zseYb?xCgAX`_ouz|1~O!oU0tiFmP~|>qdgBADH68E);;&Dr6na5#Kk{k$i~7y z&R4&_zj0kDYE{wJ&O$-}qrv+E1>-A89!MH0X9W@C| zkuueet07eQq}&Rr;(;Ml@g94lU1L(REkR_tJwoT&r~|Ecex%N*@l{yl1Kz9c6NH}- zB#GY%UB9IY)gMNNhOm6TgvPtC?jN6i)65?$HIMw$6`Of<wh9?pe){ zndPt_1_BXZZa%^U0Z7s;Zv4+%T&7EVzb>mPzj)pDFmf^8X-d(9F3qm95k-9mFXFHiBTvpl}b{H?npP}P_9~3-0FswaV&b@+(el$yQp7rSy9%`kk zHvYloupDFGMUKed(y{;IxIV=w#e06Tz1u2urdU4d7@Od_OzV@2gP^Q~jeL>Vo9pXc1vq9gFFAsKe^-iU&VUdaxohr54dwNDTXImW_ z@wpZuEDWPwus3dvj4>}zw6*=lRCizi=c1ek&tj^^1r^%|@q=$>3^6)~US6!LKX#X-&&T9K)ue^RJf>FyJ;w(J} zhpG=Y{*__GcYcO9dq;xk!g0LFyyBe(9EvQHo&@nobcAsEz)n*)gmm#$frXyL!o%$a zoP`;G)zC+>{mSwJ>2}>bt&2(s`v-Vv7%w#Q1MP4Sh(Cj0$hpNoM)IOX;R<;F#cDjRhUu-7Hn_m~ykS z0)EzYosiA`{C&NZIFY;TpsC0q=*}2%G9|)H!XRa6@!D_lg|A3%U!7JSJi=~6xJFm& z`aZJmcx?c}c=Ee2D~a1=$dR=*5COl3ZC|gL3B9+ zU{=6kKD^jQoycBAia>ZPLySit-ZdBo3uLsnOLxWdspqN}MsyjoRY3sqrUZP2@MfZ6 zVj2cC<Ppg*rfxCKd3oel<2(C1<=JL_{tmqp+=bk2U)YY``Wa($F>v!s z-Y|fw7t4d$nkA-RtZFvJU21hF-PUWR{)F&epqOeK z25@Aux?V*|DWvb=`}jLT<&Q|U+&|70IYhqjM_fW6l5mxjl~G5dZ;=%t+Gp2u>SbH0 z4gVnLd6`bt-2KFK88Oyu_zRv6K`APisqA&Ot=up#bfRBWqg(jqCYrG6#o*w7GS_Ty z0lc89sIi{DMMvX2^!+1(lKn4~Cqjpem6^c%cy7SVGOjaT7h*RW+C??+?nPHjx&7P^ zeUI6@3sNE1u3Za@<$HR(=aIZWHU84Z0ny8enmq*KQUfIKyh^);C8v6~ry(zkG3 zPQ(|ZoO>@&85D&$`&aAe_9a91qh9{%l5X6ELl5W`@Z z1|U^etyLlC?0Gqy*0dQlOC*I38VGM(!eobEA&fJpovNv@sN~UqD`tap-^8=R+pX_x zLtY&O*T*!4tCE@IAQq?G)`x0g$1LypU#B+v-Q?d#5BnRwD6ylg2q-UpM6mxKR$}^# z-?|tW^|q_WSarD?KEB$hh2Z=j<94%B5*=bh6UW~j>qqOhKis~wk}8}O8P_dH$C%Fn zamCN=@8L3#7V#ObL* z7r;*4GZ*KKm6tQwHbMk0qMl_fPb)+$5*`e!!WMDtUJGzTli ziR^k=+OifWzNyCCJNfuBI|3nmi;UM^5|^0a^Q6_tkh-3wJrCly%E0w5^f$V;yvJE3 zCBus$V>hgK(I?3+l4;ei#lBR{3Y+A$`g2bm_s!;ewU6j?eXm`A;1tQv$M?YCn3Duj zWT&GAle+E3^bCL5H`aQKvXWo6Pv4I8+Ko)PwQAOqU1fG~#BTjC9L0(lE3=G+(qMY2 z`IeqV+1cSjqWY63Zy@L}O1Um3`?6d7WWk_=xi#MGWb4T)D^rt+VCWl=7h()(PBBUJ zP-|;z%dgAGS$1w(ZtLz=5EIjB+WTMWMw?0fVhFRX=5zK52iF-nO2u#9Y{475G;bG> z?#lPir|CAxJPZ4iWKm2A*S%2_ATshwN=lT=P~aBUVtCXf(Nfq5f%yJut#Ti58i_uJo_O>?Efby%MLJ70vb6Oh&K$QCN;}sNRP(EQBfOZqL6~AYr-lUTq zc{%OPV!-K{3mKH*VQOBlwe7k%TsInUcK^X;UQ7)Z><3_)s!axOL3pEH%cet^RK@@$ z#?sPKNZRG=k4&NPjA7A#T3v`_nnio?-vXNVT0wHd*dJE!4K_;zM64J_K2ieNL_rrHy%v(rvr zC>fF=pGdAPWY~fSRa|4%H`J>T%Re#upWViP=Sz!0iTd4-82#f9vltf5kT|*Qk`mT} zgb3`WD+2<5b7zV_wWb*Hb#aWDCy0wYp(8AO^*JN8pYcDYNp^n|eG={^n)~!zT*`2s zziH&a;ck1^CrtfssIfa`2r|P|HL$m#FbJapedNB6dY zattnRAlWe^KWW6R;7j?VRt?1vCMf~IY z?*onKxCx>Om;C$iGh@iZx!t1@C+mC?lDu!D?(JP&VM8R-jZK}-&kzQ;{-Ww8em1#l zmMwY6!GqAuoDhZz`t1TQw;e!layShil*irJCWK;+1_iu_g=^CpWEA;La_ z79+`WyzJH4$zf)mUb$8L*7i1s^%Or)Wu4ybaA)s>U;lfmVLs89G#9Y?wCo=m8=E~i zDE*vaNLn`krN#|}^5aROuc#mgMc1K zN|myFoas&pI->2JfOp2T=#;IkE#+Z|Ax1A>Vnz=1_p7L@-|Ff|J&Yf&1N!{`$2&Dc z6B3ww8?R~?6c(x*XSl3W!8?-NuKaz6eWotA__CZlImQcyfn9{zHB_8h`15DEgSlSC z(lQ_7RGHOe&U@TjA4&>WRzB@{U9$X5>PYrq0@Xcl$txTRriH%pPRs8NsZ#&&q4%Cf zaUuY^g`}zGs8gpdb#S&!8P)3USSKK3ttjY9Lddupp89b;={T zI8y~xcs4(YO->1!tT*Ta?gk?4g1*kUkI_Uw{Ecvw+P^J>h~JWx+_1j)$ot14XQ(i2 zMA7~-%W+g7P3;iIEFpc`Ov>oTwMlG%?uUoM4=?W9Z*#RkF`Ww>VtRV|9i1!py?Hc= z)}u^GyiteTJG-}Q`Zi#1*Q2FOhy6*XyQo*(Q|-Hoi{_YSzPNnGckKG~8R8l$1hL$# zI=pMx9!3jGJ2vybZ^A+s=CBL|-+!E*R9(Y=-+q)qv|Y2!3hZF>I(<@X3hG=wddhWv z@Hu=)#NYqRF$TkbrhUM|J4>0ZFN^WRyM`+Ya+agSgV%1JL|y0$muhl3DQCkkd z5hyW{4}|CHW zCkIuDp9MA*HGc>q5HaH|^TCO~g1PL2%*~Bo9^Y?zOd+KEAalDZkvcn@BPYvm&HH_s z84Ydr6@ns%YUQ^=17CXbb6anB+1-$zZVUST^S3fpaDFwW4C;tSNxIpEyKl9%jumH$ zihP)(0rLCwm{8#<`h$NOn+=L?>!1_8j*mCbt0n(fMD(IuRYb%`RWMP{$cSKQ#I3RJ z+@?;D_>VF=ksB&nEj|KXub|#D2xvJUWJqXectk`-f`Hqr=8s$)FTUTwR=YiojZc!M zuItjg$m;EfT+udMeSgam>u28;_OYA>(t1>X@68BaNz2356yM?EMkHg*y`XlDj#E!~OjX z_1`W|Ogwu?rP5}Q9nqyWdWMVFgn@>LBS6LTMeHC_9w5A~0R3$ekk8$WOc-nJ5kuDbCsc%z?_${XH`}qCxoW7o(hr=_EV<;&sNx#2PN$R`d>B1jq zhiG0d(IdOO6vcdLQ4lqeEMI`VMXr`lE9mRL8P0c;0FE&PMIdA=XSP}OfcC%>!-1qj z-DdjSEtZ(^2rKj!#-kTyLUZy7tr^zScw_=q@)+1VoI96&WoIHg=2_=XMQ%z=K^I2~8YQFr;%Il4UU^_{jb zp8Ivk-kJbSY!`7?2%4w{Lucr9x#Uhm!!lj@zQLVSNx8kY`4H`b7NbA7=$!$88oar$ zUc%gIqo&A(CunYd4<)ongJr5jB4f3HUa@gk-&cK;vTEjkD89RQa&B7FZ2yePA5muK z@X*61lv98Hy!6_&oUoW>{~sH?Z+R&>QPAeMn$s(VwW-tSj~^qlvlcl#Hk+q@9VLtS zzS>)HA6-2p5je8IpvNS_{p8H6PW7HOIB?WeKy09GIgCrh~8rB|LT$ zBO4dZ{`$F6M`V4*KmVYE4)ma+POtt9SctNfJ$D_OhVrO-9ASl$gzlR%ox@1ln3O}0 zds!F;sH%|CDmwp(%iNEv`P$FZ;N6y!M^9`#dJ<~cJ&y2TBvm{8uQOKWF%j|lFhRy* z3OG&JP&f%su!{J6%gE3K{!2-Jh83g$MWBa622&*nbzJ6Ezl|>}Z*@@9KYZByOB#)G zugSbHbB*;~<>e=2M0Zj9@HM^e-7wHmMu61JhWqC09G6X4l~d8u(n`S*q=l)4vs~KW z-;Y;t!~1HL7I!aMDd#&L%|wrqdc#eUK{R6#h}eEwn}bO^&io+i<*OAk4R6gi=M*|g zhA6W88#kw<99l=CX(VV>krC*hafQhILQqK6)8VKSSqtTE(e7T zbeAk3TCmIG9fnOOooDf5SdFT>`R$x-1R4bpah-VEvB{SC`1(P^COuAgiwUS%xCBb% zBprixMoJ3$-#vha@xin`?9S2Ie&GnHyO}F1c&aLc9Bzy{n`m(ix(i$)i+O6f9|(K! zKAfkgmjaahG-firBe=Uutg50y&sUu(EuB+=hKAz4PSz(s0ZP5_0zkFBIfn7)`9UCLb*R7R)|GuN-)qwb+ zdmx%DJUvtO$`z2W_d)u;DJ>;+xh~^DGC`w2iXkxlRmg(sImc=a*B#S;73xT;N!t!a zIyySmil<3#i|y+tAFy-V+aXtwVC;=)CIa@2#gY`CR9Q6LxPd$4#W0AVbVaRQrr*xw zK*X`U?MEB5Lj!%K%A)W^~sH&+;XBq z?)`f#*V(`kRlW6tsz(7#)fP1n9|Fk*o=8bmHjMnV$V?pfRiNI30}=1?Cpv`0?SzV& z+8o$Gl$Hp4qhSbbQbPTyFXX+|aVO!@Qo;1J19nq|42!a5VGhw$$svka%(+MoMd7i8-8GAWwi$x3kg~boRIp$m>81O4veb6y{Enr z4dQZgF?A>31S|Mo{}x^yA1TrHXkXV)buAU;bN-llxQ)1oT;FN$Px@I_o`1pvG6RSl zUqW@W^D|y4&-p(Ybj-~3c_O{2Gi`k?3bRGW#5CC8GY`>TJU)H2c)@HqkB4`=b0)JU zqB?yO*(X7P-+gQcLV{$-THUdg04PwJ-(LE|Jel^h{`^_-y6|XUXfrLx<9LjKH|5Zc zm*{hubzykdpMkIXuZ~W(AB&fY;`i zcMN*e#KZn6s*2P9iFxwL!Seozs)Mx)EI3Y&N;K&kJ@>clolLg3LVV7d zXn9_{*jDD5nVRCg7_TNOUWcTi zd?+BKc9pFIafYJOAwaRe{w<1%RpMcn5s$kTndYIK+B(kNJzUVsnI|eK`zQOq#Y2b8 zjErSqjY1{`)k7cYBm>aPBEvNp08J@VhPk$6w5ojCQ%gBhjw9||_V{~6N2+u~R1bXz-r%%6Z z!T12j8l)X6Dag8kRuwbY>6w|x`t#%Z($}-%vQaDzS+;1D7XOSof3lC<+A}NF%t!4e z_*T{%XN~)&v0Q3vG;26MlIJ2*P^dNM@9!VO>kxwiF)s5%((=~zXaw6@wXUUr6cXIG zq);}ehF$Vt36utX+1vZlhO5WX&VV7WbMKv7GvYMBO7AXZ-VC7%5UX0wdDCFn-XRkj zMp-_dGB@|GFmjyOx>oE{o#G8bZV5kCP;nq1sp{!bXbbY3d`UwIvgengSoGgIu8!SQ zLWIS~_pS9LS%Q!`OX?UO-7}M!NFLh7slur>YpXi+IFNiYci{LgOVaL$<1W8r`tVe( zo9RM#s_Xuwtm{I&k!JlFKKOm4P}l@&+$>~ay{_G#PQ^sQFVS}QNIOq-J{f_P3Y;7D zFo;4z!2`;QDYMdLFgvk-W&K{Wx0W9ccY7o3q5bY|@>k7#5}t3Hw;6~za7)C4R?^?S z)8t@3s3)iytFIGFEtlkdFoj& zc<{>u1)YX+=5zA$@T~aGPjK1o{*VUVv3t+Tirr?s-8Ng)va(>gw{F00&na9DDv&++ zZI({=r$-(}YG3=4gNT!xbx1$7t!VBi%IWUxxE?rle`dw#<=}+K<~zH08b&z?z(lmJ z>$Usr!2L+|1FM_!pM=Cwo4jWVNZ9~3#UQo%w**sI+cYDH$aO6F#fy(!vP!Yh(JZIW z{Qm`MJ~$mdv!0UO~IVj$ApWxUy!R4m^#X0Q8+B%Cat1T@eBpp`}=!*kT`g^fkk%jinfb~ z@DpboY{^xnA8@c$oOt?d`gF~S!*=e6@$>`4OeD}+IXQ+o1&%SC6Q6m>pRP`7c<`vls|;(z#AtWuVABqulLOQsPj?qzuava5y$o2q6x)>nCLR!wy(?}>7ZQM1 zt}oTi!BoRm;yse2H(ZyF3_lqN2-GO>@dJ}3E%Q|YpZ*<&X-`7T*Y})7MEz)}iiKw9 zgFg3NAE;`FKHe0A$kvNPQA44fn2?aY?!F)$?{#*QgndzIcd<{)2Pd<`pr~Z*#mjGE z_Dx2SIu|ysNFB#$Ane{E!F&ahukeX~xGvdD6}J7nGcUk$k{^+}6 zGkBI2iWq;(mLK?y1)SK(WwVPK8*-)7^dx0sVG&vsm=v>>3;V@x$qqz4w%Zv}ZyoCG zm1qs}pv^6fY;VsA4-FkP^ZC+7+;zs2;k^ZDW;qxG`>{p(%<( zC35Mx35gGA@8-ib>8Oh6`F6y=$Wig%ifAB1Cx2%L&vIHfSD5nQ0o(KE0!GEE?W=+X zgDQjqZbZbOQnOWIe!tNy(NN#J$N<7cQfmlqV0 zCA9h+MR>^%CA}}U@bXSS$qIZD+?on*vMi`|p|%TY?Bm||fnwdM&Mq1ihuv16feSEm z6d6M@O-n1t!7j-e%WiKPp`?7uPH>eI#P6e3Yp-0eej@#;6MBC)2b7xj-8V9B8K%$^ z&cof`&`M3badUO1sc6cLLut2kWPomP{Y~HWElP4=mxa0dzZK2xAJ5ww$y`}w($)%m zQa@eDsKuH4)h1f4K)V3EGr!8LJ-4Aqw&U#; zj!sa$-m?~D&O3HaVppdy3PaagDe$vh$7ZZg^t*V)lL+O1}UW?B8_9!K~4)(^sBoiS9aZA%tvQ(e_)IEAUC_qEBQQ20;WqNxwXmdM$?cboq(ty=mR`Ls9c?ymdc5KP zJkYo?jdn9Oc3#(=EY$vq)bkV@FSEQ{ATQI=TRPH>LTs;RAJIH6+U;m-D zbBAX+k?MAr%PJ0KhPIrp(*egJp}@{(u#lPCKNl{)MQ^uJQuF*iM}5)N_R{)Vq;uYm z<3|qa=?S=1)X^TDFCoV1mVUZFW7_)=J z!^==0DmXZlLa`!vx}z-BAMABv=tGaud-V&+hk-5QHovQ!mD<#0zP78@g|$TVwebdB zZCvGM=GO;%e<{ex%~txSe}0c3-24a>7cZqIep%>r=C^N~1R9jRCj=VYcPTDH5qtL% zP+VGo$v;zpiE{ZPeFmyVQ&rbVW$Pi$0<=ItAtNRAURvfZ)nRySEFBbW8ZNj0fHMW< zO%)F!y%UFX2_p0$OI!q(jJx18?TBaL$oL<@F>~f7Y3odl*p5GQpQ#@h6~+Cexwo|AM`10QjT4eXS3J>gFj%GPkHPoLG1#h zQ|+~Dd%)hzYu37klLocCXf-HWII?Db_uL<}R7goQKX6EoP*g0Ch@<#id^ZFS{8@nLn?S&aOq z;o7SG;~G60d9NZIi4?kF5|VuX^h~Fc;ekvT75?4!opmpYAqk385ehGD8sAw{n{lps zmpV8KF+2kWKrM5)>6iztt zE*aVgfbrOu#=fQ`>J1_rM^VXqpmucgi#{^A>> z2^=cgGOoY~3L1w-f)&SVfQG5yTEap{d(J?duTwp|*zcX?Un+FMmzs|>q^X~-zE)A< zcvfYr^Y~(HYy#%qKUmojN0aNGnK?OhU2#0hY$n|*!0ddPNBF(9;bMQfnmuqsdu7T) z)ZahwI*r$^>g)us8Zuix(hoJ>vd1c#RT5ZO9VHf{tgF*{B-)AL9HP@l!`k3dS6_%5 z5CK9kqeeFoC>~9LU>(aaao0R|le-fa!#*BJJi9S`3gbl?SI27I%0VR9-Do7l@#RM^ zq8mQjSpQU35S)DCx!zuyKYwVZIR#D}0*MF|)l(f>Vm*x}n?S0`O#DFb`k!z9Lb6

    V)z>FxSc%l8YrYu0f;B4b*b@;uO`sRGTel9E?KfsS z<^nY(KA#r25#rpaAS^6;eTmU(KOY{%2aEJ0#Ban8fWR2;%4@;x_XX@(4p4-^LU>Q~ zdU>5!0qmk-p;a*7+jI$37v%*+4ev%$hG=w%oSl3eO*xAX>O6rO;LB+0`{rMmn zHCz3LGS=Xx=y`aa<;!A34S~?`f_MqTuo(9c7Pu`1p4E-^jADTTtt$kA5l$ec`^2`} zeL5_wgTGU$je?h%S)S!NhWH3x*|gi=py5IP$bZPt;Z~+ShDZNE`$y35$fqi) z&kl^wJU{qiu+0{nBH-l&DTDi2hoK#Ufs* zPDEiw`>1*3o4Jp_*N%m^m8rHr4wpE@so{TXk-gMB#-Ay6?NL&P+SIeaCYO*eD+_hQ zE5J?QBbZ9Z@V)j+3gpUEjPi%=dUPpT*(Bkzh}okvyX%#w$*y|X%8J()xWj^tHNLsm zj)f_ZzZ+}q4@nevg-ceIpZ{XTM;npbdT7{b$yv4!*jn{eLe=pjC0+O0ok>_C12s>q zsFT2zf4MwuNBQ3`W5qczG^hVmiG^`ll)N?gPn*?8W%tL^PpeSUMo=Ol%_z+8AZL~0 zYrAwuQ|V%Xy&_VK@^D$6{I9!W(gv#WICHh_srWpaiqnO|+vTV~$L?a`@CDXB*m2Y! z=$gRse|SAYzUp_8P`J#-*;VXmu4ZbQxv@pgDcvm;(k{n}zVL{jNgmLkM4+;+y}AaN z=<1Dy7NnP218ehpI$9`2DK*{G*LU1SZoLUkQy^`BwN(7W_XU<( zfxS_oLKT$GACtuq9Ry$cb(B_a zPt-A_8V{Zd6Z0?2oO&HWT%!NEwNiS!gR857tE=nS4LAab;F3-5kb>5XlKz}{ddcXh zwr#o7$Q%Stu-+j3vHizQ#Inc7#>R51s!n^n%*nav?H$xEvhTn+{Td5xm_!(-3kw{n z%Go!6?!1S0FL*IbOJu(v7q`WQ(YC#y&KQxJdGToxDo&`WF$YjC93p=jdmp>g-@;#3 z|NQeKC)#r8tQFYbMo5G)pq1zHv~tG5{RaKl?oHA)eNYXAxKQ#C{vQu9WNwm|Dc zQ~c|ZVpmXCIL$$y)d(G0KE}wQj+G#(6O<(QykKz!vvP~Sg#EpYg?+IAQ-iT_bV3af zZz=_7KoF^MiHyIcRTItDY8JvAS+`SEpdKH6_~Qh;hvxr(ImHT|qzh^?31QwviDuNn zmoNi4YKhnvDp(kj3vrx?YB$V=bF0pSWD~*sf_U`x{8An9*rYcmAvQl~4u$00$0tD^ z2EEa^&xt?2kLgGalZDVlN}U7D@^JB_y{l^v^5lq*-|vaTO@R7&FX?HzE6xau;p+n5N35AZI?&;$?$*Lq^HR88g3UBQ$O8YMj@ZviRKcB z!TxoqC(c&hz_#m$VN?z7Gg#}N2@CrKEcO11cJ|ZZEi-MSVkfZsCPD{?K}2F2moIkl z!DbK^cJ=RXDGEJx_nhJ8Q;|#8GoKl`Dh#vKpSy+an&zgo;)A6Vinmg*`ptv!vQqP) zd-2}>mws!fyuOnR-}ii5lM=u8U_2CGKb?zu5xk23Ot(?9&UT@c5@Y?lrD3_8+ju+RYi6@3^pr$j{|sJ3%xPm|@tqfcV^oFoY{ zF%F1sd(|Zev*82^DKvtjN%eF|3zffxySppn<5CHTyOrS!aQ0lfrDdQPwYG_&yZZ?j7T)bL{5m3@XVFic~8UWsq3*vZC~*fWc7sY0dT)z;d=`+eK0@d=sm%LLQ?7wM&bVQC)|{T222LrY@S1yScgwffNJo)|D{(^TELn^&|``{bdd224LzULh~cxhhsqw% z4BYPk=0^TQ6_*>SApM}(Ywnc_s-VeZ@1RI3+udG7Ay~7l-XX7}eDEIuuZ8Dw>(iph z6{x6ojR3z2GLMkULo+1Et|0RR5UrQu=z$n!F-O?{Jxul(=JR*p2SbyCf&ni4zXmBh zxFFzkt+jd8W;qpBDWa|e_r8o%e)8$dmjb|b4Il-ocp>A*0Cr>LjB#)otOfy)XQ!lT zb*Y0J5z`NuWuQ~noeW%J(tMwgSjY?T7RhQ9$pML?0oRx6hL-+ig_YlE02;!s7<^Sa zQ%iYxeP{&-5YNfU{Gy&_?m%ap^3kH|Y7@jagDKk;cf{TLyL+E9i?Fc+hxO9@UFLN^ z!Id|>nUSD52hggB<+GSskvAMg_icmRdE3q@lP z@k|0k54w-8NvUo4Hr>5ZBo!2h@*ohY+xRYwR?Tg?ZPX=_z}eLh@@nI6V&$x!8=j8O6YX%TrJ! z3F1AKj#3D49;h?UT|}hHdXM(iAJflTZbLLO6FDWz&Hqa)}X++PNj5J1JLaz zAlU2raz-NS!pR&^o^=Edf*5H#Qr9O^K=35AQ|~r|3F6bm=AcSQs31S5DVgEbh|bKW zxVUB;18!ks7Y^(1^LO>P+udM}m;2^dG7tlb^8uSQRO5o5MRN527BHZn;JY$Q1RZe~ zE!+NCbofV zTDGZc)kPR*+sf%UsV8MX0IK=*?ZKaP|=5gJ?|Dwo$el9=2)+6n3$h&il9KNMW#KjQ>eaN01I5rdTU>FE?A z$4eJfmVT>jogC#C47VCon_y^HaLsR&9VOe)YRAeManz-+8j_1e+DHg5fj;7T-DO!mb-MI7ef2-sI;#=yptlgYOl zI?h0F2u>d+pf>_|aRHFYN#7U~h~AVFsYJ3%2#8u(^@9zF>4V(UusZz`Fmx@CU!I7{E$3z#H8hsslqan8puzlaUqg zW0Xh5Mv-rUxe)AtHY|r6GM`F;3eEtEj>&%8`nP3H%_vDEp^y37;ay^WT%K^UQI$HXW%}JHn z31kL<#D7+5S7g!S^c(o&^UqYSi)66s=}}V zD7_0IKmQZz)9+&irr?ov14$D3x+%j0TWjRr%4p{Dy#(n@WLAc}^N_Yuilio5(g28Z z7Dk9Va{ohUv$yQmCfWnHN`Z(1g-^c|HvoJS`0Sx68X?oNlG*U@0TWQ)1?kjdu&x4y zZX78|A~FX$q^Lh+0R$w-cdH?PED6^yxv=f#l=CyH81l(S?s&r+KP0P1BV=%3CY76& zbsX$fyrIv~*lu3&DVoA2|Rby%H1-z%I-fvadZ1@T8Qd!FsJL z5G?MdK<&6X?dCV?&C#=4S;z*B-L*1PX+bGQLz={gtf{~QM@^@Ny!a3VIz~gFGyqY{ z0TLmmgn;xufV9#q?ZBWWEeL9X={LzP>L_OiT_%PWfo`j*{_o z!sxBZ0%G#hjgx|ASl|*FX2P+dqSiKmfZGhDQ6AF5+ARN-;-ac~* zd8$DHpuZH8?K#y$0@p7N5vrGiT*d?{Y#!k{)z(KC0&`(RIrhJBK)n|Sx|M)CXxDde z$m`4`14{)^-dgnmqe@R0X{s^E(+HB($Y~3O2#cSsBhiElo7bt*(5EsWpuAd@o2v{8 z9TmtW6t)d~B?7P-_~O824)FVvV5devbDuw`smrDf*ue3`TKn$}O(b1GbN4);OA3&i zAr}~dpu9oknT7ix@9zn8a@u@#EaPms$kIJDQSqpNvK-nmAy?0=3uO38Kn|fdV50}a za{DhU_w6Vf{{D}*i2w1nfe*iZ%m3qk^MACk%HIs`O!8K&F$VyfLO diff --git a/notebooks/figures/05.09-digits-pca-components.png b/notebooks/figures/05.09-digits-pca-components.png index 94e2833ae3a217e4b5b28fae107e616e4c3ec5a6..961b5a137a9a2f72ff75131f61b44a4ac1b305d4 100644 GIT binary patch literal 17275 zcmc({2UJtt+V2}hMFqt|3DQJFI*9ZZRGNZF5d`TZ0@8aAAfoglA{{|ddJR2P1rkc= ziu6uEI)obPnc45&<9p8;d*AbYSlC{>HPn*yGw+K;xs&wh%jf)Tn8diQP1q>8ehhq!{9H_vl&$G0mOYMcpMO*fFg z@`FZ4LARHsu$s5ZSYB6wR!5#%;cRqrA>Ar>@p9qx*(;|`@x3uQ+g?!C(-$YIdaprt zkXCtKqV4v=+rI9DZNl~k=|l;O)Q%^a92RrEE`|dSV+O`|Zx-L=&Qn5tVdGAgi z?M}3q#T(N8Fw&E2$NVnP7c^_9mRC?>3B#U0+;^MlxoFnoL`SAtXiT#dRYB)Hq{Ac&yF$Bl;$p@pJ^PgVz=h8qX@$trr znwpy5sx9gJk5P^@inTk#*6T!M)$X`=Z=O!k`RzVQO_-?tczC?AFFnLzc~H=0ZJY^= zXqc85A1l6be$#Zc%5kv4Pu9h-WwtHGaUmmKu{cX!%h1uBvj0&GhZ?qW!j}RvSmQ2m zL(Gmc9(NYvadNbaJ4xezQscgc_1PWMIbJiYar@%B^gDV<{S5MGd!TB$1jl`}G3kW9 z>%C+1n9^g2|c4LxTt7B3R>&hZOMm0Cf^XiqI7frsz z;&&(rJ6x9wzahf?k9|~=9W2`5Y80CSFR}HMwyNX5I?s0{2qF~Ec+p5`!jzSj@4BxV z)Dq{C9V9+mWVm{kOioLba59+@ug9ThVKOAq!@KF{0_-P z%%;meMwN^hDMd1d$R2M*wRUwy-e1el8kT)6;@W*#&0;E9Ig4CFp!a7mY=Bi5%gF$u^Fot(Htuj+*ut9+uvSdyL0Cp=TP`|q;lKp`jMa#dyoOaS zP`)~k?j0tKZe}jo9&1}U7U;P-cS_tjZ}Pi8*~TCu>Wf+$44jq;@mSn#S@%i8-BSVQ zET@9d5IL(5|lT55)%_i_D=EzUc+kYm^-SCe|o=aXlcDP zwYN@9^WD!myoIi+g8s}>Q+ocK7Wf(CLg9;CL`x)8!s)hRIMhFqNoqP;iTQz}qvN+4 znya}6)YQ}_%Y&!{Nmr`~bpQR>s0!PW=>RI&cSMv-pxC$v+dqak3XhAQ0oGh_)lVx` zr9J59g1n6ludr$pU*+f<;Ij(Vd2#OvS6Nu1zyTT;T+;O`?L^FrM<(2H7HK}u+3a@D z%o-qx`1l@ICg6V{5(?clYybGjy?pq9IG=`cU3v~2n8D{@2UB8(bC_PL50Mg%Ro7?FfF4t#ez8MhHGD>HMtSBV9)w=si)V=mUNH&S?j zy^fRLPlYo|T)P}ZX5Vlmn(DR4Mad*d4bC;<(dBIOX(2=~<(Yd&J9$O*jlgiZrEBDW z3IoGvz;^Z(_pOfAY$Q({o}+^8-3$#4UGI^j`tmsDjt2-y8;ukK^3~pPUX%Xh>)*+! zUsMwgx z^=sF!M<*l%|N5nMxS4h$f3UOCo2i;iSR$MvJ2yFGk;cc8y)aN@?CF{(wOU2C^t+&` z=ZoB_l)5wxM8%Za{i+wRv2Y2d{##*7*7q*C7kRMk$-*{Fl4Hw866K#H3eDAyMA~yT<0xz?lPn96l)BK!C@v* z{L-W`zIX55I`Czap3e_J!uI=CLw%J;r?7cn=3gl#uRrLI=v5a8J-GTn&ql1A2e`p)HJd#sY8SsAt#(`>K4s(gW#Vsg!wa#n1 z5nP;U>5$do#_1HaLXP!7p@^O65V5dkRg(8b$r-tz%kM^3u!ATB+gOHGL3Z|eTpV8j zF!v~C8Au8}qfxQRso`>K@|rOt%fym_u84(dBhv}qnz&uBy4X~T%q2-_W-7={9v%vC zZlr8TAQ0NghlBIKgTayg@Zm!-2$CRk);(O91+m5ycmgRS^4D!?B9Dpl9@8Nl>k}u( zmB^2&jrO~%VZ zTYof;gRXpX?3US`O!Zz3aS`K(j@7s;fiGekiwJfWXQc5B{@O!wDc8kcKNkD*aO66K z%}vLjs$#5SVss$?G!`1x^kk|s)Set4fMduJ17c;5ww_TkieITNM6`Wi50r(K+fOh9 zGin0P=-98VV+w-Y-p+{q#=PtaJ&{NxxgV)Su^BGAFw+v%0_?|XVdq&VmNW#ZzWbKa z2g{|89zFVAK426!JNpuHAB^$Fa%uPUMhi<&;gW+mV}gh^Ejc__9n@b=&d!c)?D6u| zJfy;qIvs>y#NPT8jXC=E?b{}U#ikzfpWM}pjOqyUWOvxvO&5RV;Mbhd2GDyi&x1>g zPECyjhOVXOr>S|($d_ma^7I7^2Gb*asay6$I!VkvQi;WfniS~@8;-qPR!8aG$2~c~ z(6&C%EeX#Y_&EITuZmQQ&t|mhDu}tccZKRYfQ9q|mpGiF@(aG-9o!fI0tzQ@XjmA^ zdH(5b4i1L#32#A89-qNNLn&a0cyECnWJ257@5q!WqWBWL`>$u&!9?+}`M%JOxq#qY zx~_26^kPs?I7cM@MmtPBY@n&MQih%W*QfF_XHT2Jx>`s@W(vmHQo;YfKE>%B*YzX+ zp+{|Oi^r!OPRF5zjZe+GQ8a7;t3NAXLd}EXNAIDy4q2aoHvj$ac9w%T0Y-NlW+ zAN72Soj&VU&}VIynR@s%yu4`aN%#>q?%VQDH9Zt`X*n9lsKgLHG;eKJ%dq?GJ{r9#W~b11jX@HKMchKCvexfF*1i&vRo8rk=LqoxEpxd4W)KA zqrKxv6yFGkv=I}t8lK{5KXc4CoF9#t-4$fcdce7Wn`Xjk$R9SpPMpt{oW$30JaA8s z{IN6SLY(gBIVm_B#Gh6%L*seo^{ZC8k#ZVbHT88)G8wv$bw!2D@2CT0tH!DiJ*#MZ zRDR=Me%gtN634U{C~XjLH?d(m=GZWHN^$|GK5}9v-UzxJlzTnTLodGXpVpfkGXpZflBeo9iUahm$vC+ ze8|~SMqGWu2~E-J@5dhuSpdbRgm1lW7M=x3h5Wvu%5!?8fk{zWY3+zR>R%&+|i0?CI?>y_=0 z*A_qYS^50>(^=&7V7ixU0)Js0Qbm*0Ud4wZUUseQ zgGJl^^?3e?)3m{B#?khMl+CisMDUH;Dc48eh%)ttWYj(_!jjHu)15(Cn_@>LBixF+ zZo=%@V&E^g9C)?$&0EoH&W^b}|2WTrWiQoT%Lm3{OS#@-hs6tD30hhqdl4XTwO$*zT~3Xtv&hSBYNe{#wA1@y zv$;5;7J`!Gp`qHPWJ}BZVX^MeR6hLJG4WQV!S7An1}_O&HYq z#a+R?W)43lL%;0@f)yu0@`7&P3y!4_g8rmxC-$hd z9~{0`>HqoJV(r6jfiX?@*AAARvG9(RrPg-!doGe^*n2)5pHH>t@`H&^O%+t!Wfp*8 ziuPQYoch12)-Z&k=$4f}+KxM?=Rj*}Hcts=dcSl2AQmna{6@!$p-{Gwg-WXm5}gM$$he^g;7{job&?C5W$ zQ?OWIuYg%0JzfL{2>z8ij)n%l|vm9nc~an5M9FPGb=4i?pz0b zyibiPJaY_=g<9-%3dI=$GC*j;^pms{}r5`Zc`I$<~*4LDZr9`}#eYc6i-4PSfM3Ohjjw@o~eU zIVR)wgE4!btmXvsyjo++>dVE|BE1S>z~ujLjU}Wxr8YxNkSK+v=fGQ?H%2=LJAM~) zR(Qr&82Si8@psPFEwd?|FlmmEW>QPYL(U_(w>tR~Yx&ADmuwL(Ek9@Ep_SCiV5*Zn=kdZixzw%6gXX*oH`BuAewvXGAPj-e^6T`qbNr8ElGYQLk9Y z=366^kZo-#)L4K+)-SO4HrZ}OsbU5b*a&=`-NMz6(c@R!oY1@J0kI9T?XPGLZ;#&7 z<7b!Y7SXn3%f>-C8q8$XhK0)lUm%CZ036#qZ;4*%6^ zM3sqLeUYveuM!?-bEpum;2w>OvMRUY8F6uabrZX|y2Tk^V8v(OPKVH_Tcbm;4Mbc) z_%y^hpM{VUW^KFtpP_BEOVP80tPGxGHtaYq7MGs3Qx$7_hcXtoyr2qCjQ#+O&4Tx&^w!!$1YSOr)p~7Ze@fPh)^g z>eoFAca^;&fVFu@qqneaawu#Ji;U`~=fLWTeN>6(Fv_TBL}tswnCthn`KfHqCad$` zfY?2a>8A2gymSQ-S!NMyyZ@B=D#DdRnh*PQC1?L0hMAamHqF|p*bKN3qibySuiX$I ze!;oT_J)Js%G??tkm$i~8gmGbu&oVjp8Qk~KdNR|95QckzY~J$%P8WG6XrjwCQl~- zO4IuAk z7ZvzRnB+bER~B6Psl0}&;*Xg%M{tFQ);+l6DXmuni$Ti$RBpRjS7*sz9Lxk9-gKhj zYsLR*{E_(YL$OElwW}|tA6ceCrDD0%R$S(fZ(&my@KA{OVoNZpT8{}|qRl5OcOB7N zQ-2MiA?9)gp~^3lZ{vJm4HMjP{y3VZ73EZJ>bS3ij^1OAz$9dvwJq`TX;fIMEU^|< z_6tggx`#ZFZIsd$=gN5$-tSlY75Z~g^NKXT$vdG!Wg4k4Q3r|Tt{7L0$_Yo^(3 zwd<$|%CNk63u{!gq`i}|!$&}u^^d%RcVsc7>9|a7o22l5XpsGFuS$(@?>6Sf!szQY zhBB>oS7i<=;rZ)m?Z*9lbpPj1q$nJHhvoVO=Q-{H?{7}Y6HL+q#RaG6C{RGsgMojl9rK8cv4=3M`;2kkVdYWA{R}E9dh5lPD`hRB%fA>li z{p-=}ms7j0A{;MiHtX6Lqr(N1Re;q-z6?V_6)gKXYc_Iv?I?^Te)lWQ-fKDt^yS8` zM&W1>y@HE3eiee)Nfjd49kqnfE!iw9=?qd5$BX)%_`y5stX=TCHK$tpf2g8H zW=k42R%V?>E2^F7C;G+~yO*k3s^mo=%aKn(P#wk2N5b{rZ+l%T3yHIy$rO7ffL*jC z%;ym$o`*KXs|ahW)Oda@D~hi5j9N>_3>r$DXjc&96~#hP zBZaH1SVln}O5;jzrt9pxpV(7 zCM`cxK2A~(c@J(YiDM<#PlENLWVr(~dE8eqyW31iG8TW_%UAt(h z-9Zd=#Kgc6C>F)^@lF*%j{IMg9P2iwqXjU7fwQ7;n@6cBN|0A`?_~pSry11mmpypA z2Is5INTCRwb;@5;jb2JQu8%WVtXZIN3V8wHJhF*|;=B+I&`l4+SfkBA2^Q{*w0d^z z79;vCGTG1Nd7)VD!A-$T?nK+Lg4(rLZku$$qMaVqc3K~i#gcYtBcm_s>CBMh{Z)?k zdK;;FweU-?JVKz(O;xo>%PZHTMO1@2KifFNouaEc(ti{7pIWrzVr{hjj1DSscsv3z zd!xTge5RYfed%mytm?V^2PFpeUcWTZ6M8lwP<`FCJ7&q1YG|!+Pg!rB@P&u(oI#wI zAGkM8erhsz#;I-RC&=O=Bfq1xDiV8)_^+>4mB&MW))O=PtTo=*P0r7>?{utt;+;3g z)>`MIYTLpvgNJ;Jvej8N?!l<3^5GD{qDq2iW8TJ{bLnC9Q4arf$XowijqP6!j7qw8 z_1(Jx?@X(}COZT4cRTgytS6DGg;vq7d)d&RV@|GDAmZsbZFa5x@a2c5UrGjW71|lg zGQ^~jyGGx#>t`HV1*7iRKVzPiK7Ak6LkHn}oi2OMM`pXh_3Vc*=ZW~Q^g2dd+OuqG zF_lZ4v&#HC2I%&Skk9IcSXZt10eutov2>f7j=7nH^nsXZeqSx2mWPg-d!M!s^cc#Ym+ zdE|x>^nJKNPxk%G^-yKsvxMC~t|&)X*IZyEY)ffnF zyd@>Y0C_(w-nCV7{XHu=`DLmK6)Tie_Je!_b9(X8f_Q^l@s)huRFICSgEp6eq-Ja| z3L$BN$wl+;r0`Ud2dEal}L70QaM zG}bE$wX}cJMWS~cr(PR$$_O*i zoh?roa$YcYXx_V&J7IID<3hT{y0^4E&Ui|JK>F*Z+gNHnVUg&w7j76{_B~N0(c=E|NN!sKN~B- zjg5FGRz5zyzOig4|KoeEb}*8f6eW8MB}tKMzPnOS67OXk`s5B0NA1K?J?H3=o1J3f zo`l={=-F#Py*LNjsyf)*&_v^f)15$j(<{FyWYN_O+T0pNMl#^T3Zs=Ip)2G%$8->j z?|smGBuNlkpyjHEZwlsC;!sO%29m`_zm730=uCq{i|=nOuobFoA75sY)bg-*bQBDv zq<_s<Iq--Ag9Gg2aT-c^J{^WS=BzHC{;}L~R%^{O97&-Z|YS#@Qh~JWxWdRC= zEG?hjTko~H%G_#ZH_`wS2Rgv2P6Xb3UV3-b8K{J$4*qK0u2Gro$Zv;Ch0kj~J3|(Z z_*fmi@(ZSBb1Cy{n_@Bgw{Ee4G$~J)QbO?=bfiH;+td-qSNR!e%GuAdB69|ba0Eio zYwHydEgH>Br${2Ql@&Kh?l9{JkLA%x_d7ZM^DF1N*UoZC1cO+T9_&i4tuHvtU8`T5 zWuPYy6p`(v0i~n;?Mnlt_7gBhDL2a9F?W__H>qmZr9dFf!G}uB`ng#YzcJF#(3o~6 ziFhodTCUL11(lTvZ~f^d1C4kggQ&z^&`!Vc`0?XRiz;pHNUgLY*&lXcveCmVjhKlI zR}whjwNwxs8L8;xbdS_EKRn#*&KwSQiR`cmXxJ=D+$_D_M(HMJ@>MD7@pYl>yRulpfhM-2?Hd?-mgkjz$+=(+1dXL zm2!}rw8|hhEj*V&OQYA7$$MuxXUogABPbet=b%l+MIpK2GRpvxq&T}P00bi-S-#86 zwsEaDaiV?&>p<4e$5h}kbjHoVl6ycapA;($t6er~3hzw~vvkoE`mnuUxj4I54ZsSN zRX;aLZ~&T#ZiBB3v-dLU^}$uE$j0a>^-9(h{GQ^}oyfHz?i z5uwR?`l<1g`*;WlP9{K3(ymZ#iDFT*wB&*vEDP}(R9#Vt=f{9377PFy`uYZiFk0Z< zjr#U=@A~>QNy;xtA<{4~K-D@|ZIbj}${WJxf!c$ zP+v5wCi6M@A{Vs2QaOoNpd(wsm$!@Tj#enWzx#{)TB4g zfMDro3hW;${OSs`@1ALsF{;y!$6;<@1;|=S<5-9DE;Xkm>LuM*!_)kZ>48+*cu8#Z zHOMGmfE&jCHoKz)=_$9?A;nmrPs-U9HuR}}x!}Uk*tQHS1z61C@oqy)v1wB=_z3q3 zgM;~Z6W}wtRSv9P+l$(;3{Kdr8$8V5W|_IXypPae~h_LL;$iP@R#hZ>SE9%da?L>*!HL)gcCyYU_dav+@lx* zv*|eDvm1NjJy2+f_oFtTM8a4|CJSgFZLdF{xu0i(7!k{#*>JpXZQwR!2AB=ijNKXo z{*F``27oMGnoxvt9=Q4f+3eBd$EP5aEHFkA2>}oo?mAg+?u$kB``jepp>o`d0x%zP zK&j+0pwv---4L;Q3+(3y-f1c$-l!48lheLk?WB>g{CTHI7s$~lj}17U0Q6r@PR{Ig zy$28c_pGfxuNhanaFGD4JE}?0!WNrIAV;HK_1*%267q1Pg=D{iAbjB~J_)?<9tbYu z(=qmOC7$dq4N#F3;Q2JaNHCD^$_iji2j%ISQQge&>OC=UZ(L&}O38weRXwH715*oSk)SLh^(;Kw&{B)<- z#8!g;EEfG^C1%Oy0soCg2a8rwa(Vo?_v{3lJo7YBq#oF9MCx#2Xj#tFpuVY zxPnCFzlVWlVM)=G6uvJec23^@aERP6R_Axw`%({ zeNOzDigpWJpS)>-@G?Z;^3>GMTXXE>HQ{44hRn20$SD z7mD;fQMOf#gd$nna*{w9kPt~0v9mmsAmi;uY)}e^YE0FEVg@7%z{P=63i;m4p5pap))1SaGxIEBPSODivzDnc)yygJfkStKMRNI9(5 zbJJlaLM(J;b-0|Af5d(Eg~xplY)NSw5HFRtS^mjBnGVVd5%1o@bBc=6k`M-vQ`EJz z-mcXjTqfZfOzxwmRjK#K8_aODj51!oTxi(+B-(-b0x}6@^5ZnGZt=}*B$z?AzKV}B zQr~!^aPa~ybDhbK0A~p*D*)gTK!>>OYE~*<|0a7|Z~wN$Fn5NBi|YcY&451$0;B;b z>8O`&A6{F~C`%|me*7az#JU(L)U&g*CZLMYj-x6anOr-x-Z^A^1aoq7D)u|^?MM=# za36Ek$r#aTOeA4fq#_x(C>T0YwtHTnXXc^usbTjrNCW`G!1QIPpj;L-NhlOajRzyK z@}8hEw^Y=iSZO!LeaS9Jh{f!*%zO^aPY5k?3(p41=BHWLLD0kkjz;ih>-*0Y(ZRXo zBo&<^vSr49V5z|2)XU0|DTh5-vm?OS;OS~e;2mHKN=iz4svKvEcQzu##yL;?{HSPB zz-IHVlo!WqBsvE$Qa=D%6)Onw0G!YJxVS)2#Y2G&l9hR`e}-||JIg^ypj?Lqr!lkfSd5PgS{4N zumc5N(7J~-sj>q#E=AVQoDOYqf`+;}i8zD_nUsibnNVdB#(`wmL)P*Ry&RzNb1g356#D>tp|11$Q`c7P~Ba7T8gNL&Y0 z3FA0&Qx$}6mxaEw;8ZBG1vDeu&9fmE%w6@iBck83vUDE94sDx=#C7-MZ91Lk|APr5 z`O-UlV!6s$g4t-dKPxH5ay-s({raSC@8=Pqofp5IP8IKoZ&TGXNQSTezeP_&B%aL4U4inI>Qj#cC^X)v!u<>=i#x zw0{6O)ieP16z7gldr1FS5pA%iHsF$ncp#i#b>~5&X%DIKordF3AP}&&#atIS?kpqBv^jPGp%}8YpT3 zMO{e4AzlE&Ux+*e$fS~@;yJ+8ftrm}o=F3nmdUPtn+n`sRM8=HgAab&M+jMuJgl|a_9*#!>-YK(AH zIV%?`dQ$02e_I%wmboJEX_)qxQtsnU|x=YLJ}O*GYJyTcMSOHG@m_Vdv3n}ki@nb)p?l$ zSP6WLZUtqEC4rozdN0Y;4OP8by;S_N?HURGv#VqPC}f07d~o(fP-2}87ec&gNfi8z zo(g2R3swpn{$PCuR%mQp;TM=Ku~m(p{F^(S zy2~<;fOS<5I{)>I8xHH5Mwi_xCEiS5dM zl+|h@`yE#hGh1?SUZIohsU^3XKx_oOy;2)v46{i(Y%QGlWzB{)I;tD3_??d~QQJ&C zdK}ItS*H}v#NAr3m6T`znV+3ezgl~as4k;Y@5)5{;&M_e@ig4hv9}#2bNDy}I`Xkb zC*0H3K4W0n?NUwzTy>u9Ae&*lJx?yDdlGZ<*rop(f+eecg=1S=cGSMtpb~muu^<3n zcIa(WE*e_CKlZXF2Z3?Sr4=3<{kqH_RVaW>t^4vQd?@)F=Rl2PWUW1tny=;F7zd^C zuB8$6K)X;ZmA#ShWL^qY5x?xq5>*>HLD8A$@Q+Dkkg*B_wFfGq7kW ziOTDtsV?D5AFKie^z%kIDGA-|m>8XNWJ*@fbT zSc^A%H`7$4hk$O88B=L<2R`jDZeDp6^4*l&*3HSn+e$ z+F$N%R0cj-v9(2*jLPRb3kN!pVJN>rd{Bou&AgUxZzh{0N_g_WdRrw6KbVW`bZu2c zJjEZ!pS-dgy?>+>)Ba$L3oDFKsB5q?^?&kiC!Q+#PUY1M9GOnUG~TjZPqVf}Z6j1V z@3>V1&(>o(Wwy3?k*IzN3qAUwkr}OWeB&n^FMS%cL8I-2O|-Bx6c#WOaVSFgwT_}T z>sNo(E+rXEJsIReb*)h+=s&_oTYsU_7evjZ6w_&1JlNt7TQbJf_&-o9h@=OM>YQ>W zzV0?h8gM^V>oVzP3L!vPAh)@@m~uB`JyOd*4TTra$~{2)HFKRqSha8u=N(d~$Nl81m372QLgsqxE>q${1*9Lu6lWpKrKs`mTJ1u^EuUirHGEKaSf zRL(I{bkT2!hi-;XSH9Uw`7b{MO8I}{DPTf@yxW#Wip|4zknJXEZO!S~pxU$PuCl}* z01d5razq)kIGOY<4xYceY(0CHi7-DmR`zgcuD>$v8p8E?JC$$w!-r)^s^boM;tRU2 zsTquJn{29P#ZbOhml>b;OBHiPsafx39pUH$TGxp>`0{r$ijTHN*6}Q_s@aw8gc`mP zHg5^HcC()k)Y-ThN8?C9eLQTAh4VT$(gID_6W?v(sr3db^-bINdnsS|LU7-#1$%9h z5%JV#Gsb}mIt0Tpuk3qTND>CORA6{x$T>(gCZ@(AyLMt&(pUhy6SbFB(z#`qg&EA6 zXlv>9g-XAteqHFb9`QIAS?d@-O?wtK!y95;R4Mco zZ9<)U%W9~*HL6$j1l{(>wA)4PmpJ^=3iQ}zjoBFp?k-i?%#$^%=ERiwWiI3Rm#Sl# zHbQ`7@E^=6YMtMC(n|GEROP4eeMg(@Ln!`2{nWY6H^#L0b1Fpsm=*c&qdkv>YYGVN ziS!4s3oCkQR(Jk~Qt;pPzrWwn)Aw8cWr&v>dMm@Xuj-Hs!dT<;4O%Mk3v(Z#iLcVp zc%;Q$bEE6@jOz4a2x|W;p3scBt`vqks}l3kR`mHtmB?owD@5Css=^A~pIEVCKTH6f zJo2)SQTUjbfnlZ-vh0xFz_2C}s_(a~g!gJ<_VzBSxS-~CG z8rd+El194C=8{H4vn~fF&UWA(nVgr*c|${jBja|fuHcSgd>edOzzzLT43fVu_Xb*{ z93Nk>FU0lUXx>SXcDHW=Gg!iN!i_z4SR~OM$_&9M#rIKkX+J`QkP6))e;zjf2U+~T zK`8y*0d3%6&|ZSjg>*);@i_=%;N=?jtg)Z<2ASQx-%*= zozSy(t7LGSxb%oXCEC6S#4c4gnRC|zA~EmQC&XG@Rn%uh&y8!?p7JV@0`IPPU6?9xD} z^V_HqK>Z9BY}!<+YOo3U^QQ6d)6oGf`GsnXc_6Ul>#h07Hi~6|(rZZ8M_b@q#aILF z+p@!9Hrb#uX%Y?*EqlThZNYOeb1?h${V;RiABP^?aQee!1+65SVL}=W;{~swYemvE zPcY~1%aAAVyO1ijzaIaQK>Pdr?m>(Jjh2(%{HhIW+^p+Dht5YmSK8`rjOqtAoY z8-gvwgcpOf%my?$-V$Fp$&>#>Q zXj9Dfzo>_MQXO+*4U*s|!5;vg<7JA1Zf19_(7v*a*_^_~?i%(Nm6nURo;ovDu>Uzg zAoa@S3xo`E^CQLciTJHhcm%#DwS5%#D|1C9a{Fgo~szlamORWD|upNTdaK? z+v^AQTPIkItDd$~&~ocA(2m@kpHZ%HToxXe`6_1E2A@ zSB=LTh>z1I_B~H1W3BWtgCgo{o1Jz5_Ben=cdy86Z94oNtrH5&jfi_D`mXG-YvLD$ z*HA)@?{&?QqZZo>mY)Bh67K)0zARJqSW(;ndFzi`O#|~V?|0XQ-UkBK_IhI9D$+c~ z%IYoVR)Fig3X&$%!mN@l-rP&knEg)x-+v%Er^%2Zt=Gua=7UjH=eXd!74}M=paI`5 z>Z3HPStnS1__>1f%VCzG#`r+~Hiz#uM2-0{Mt4M3EKX-JD|H=}h9^wt&L7g_*;3Gu z*WFKn6+ab_=EtsP)3IYy%4-)D!)}Cr@p(#I>b1)|lnUfa(CfO0+r%SBw|DUHeA!u_ zte@JsjRUXUSF+$X5pw)t`3%zR_Xf$8ZoF8M;KiP65Rly}PBR!{zQBcP7u|%#%69j= zp$(iYb2eaEOHRifddo65v4LuS8sXbj4`9Y|jM{!C3TbT{ROz$#x|u5-C>LRvRI4so zN3HO&nwOE#r4b_-GrZ8g(57^&W(;m)`sL7YeuI8qE`YfL$y?e+WnAZtPKny0CCBKF z((s!lXMjrPPs%h>a85{4W3bUZAM)K#d3J^1Lx_el^gSBCqyKT=gRAqy42Wb`5$xmb zE!me|R~L(4)wcK_2D1N@*D?yg9Azm#4MP>^&t7X1tC!LXU-&QLEAiE{T$mDXgAB#dm3$UyoFVDS{Suo&EvqPAX0$`F7HIc zZ39kxa1W zgrv(JWoZ7qXK1ros=!lfgisL9tjMuiekeXRElZ;UD1 zbrc?#F(108fcryYaD4+2BK%=?0Yv1Z5@oee6iUb{1jR)q8m(jXENzO}%W&M!E$w|& zd|>$p?z+sOtizKL?Oy5V+UN7GUfY--(2Kg@ zCMr^E6x;*U#JqfkUz_Kz8#`YC$>v+lLsHhgSo^%_1vr@_(#gy@p+S3*cERpF<}{P# zt~*2W*d4Wr4piGSmD0;BG>B^b!jjVvB^S@?JSD+ot!iIEA*Nqop&n`_WQVb}4I<#V zpR{W0$V+@_^L(z#SHWNtFgD9)W40!wM`xmY8*kHbr_wQ7z0iv~W6&LPvxQ@gB^L=* zRk#de!8&S-+)6fl`rEX!R<$r?a+m7McPQlhDg_^l*;>+A>>dPi`a9|G0`!WcEpQCc zSQF;`vhSmw(co~W?nhfypwovF#c@Y|IMALPjO4E@l6IeMn^!sdXux*?axwNGkf?v7 z-R{eI6&SU$)R^t_8<@#6d9oq$IjIE}FoxA=+BkCRnMw1 z{=vY64kuoM)37^U9dzkYC!olk5*H@;)nh-8e>OrnYHK%WUN?aA_T-@O#8)rtUs-a^ zK6neWrXi!WW)U8HE`h$qpVW-oWlHK)a`M@(H-B>lcqZc zH#%%3a`mk~R^s+*nC|>Rwt6sJ?8Q9(>Ds>*EidoS^;e@wU@-?Z|CHPnO|3IiwYO<{ zhYqso2%DS950m-p+1FchGrXxPJol2RZsi*NJqE_OTU;j-g`S%_FDVhDx?qc|R idGr6vxBodIQ>#Ulzx#GZ7W|EBbN7L9RK z|5B)k89$kWC+d^rLoeLb)YJ^&)5%DAdF0~XFI77`R9EOUqO7D@>9N@UUMo$!`0#Zr zolE`uS$^D`>?A3xsYRT(>n+i^bm>xtW~%?;!-uaqkKW45*S;pm}@pl7Q;dWVAj5Fy8 zddkYm$g$+$FB=x!d391umzHge8&8dZE83W=SIoC;y5_a=$O3LIof7A0pXg&mZyg@K zkAn+=@0nk@a7#5-JWyg-U=V13$k*2d_R+sHW{9)+GFJ1sbqAGBQY*?PsM zXpzM(Y{DfO8RIxfoF;>sHAK6f;65_+lufopfx|fEw_OL);mIeu^08|t#!!rM9(btS zYFG1*_N$xjBT3li_!GkB&)~(irYWgBR{a(3*0k(6D$yW$rfN02w{I$N?xh4qeR_mW zXDp;GO5!F`Jf}+)k*6r|ShOy*p{aItb?umK+pK=@?d;t?us4jE%Fap z98XKgfIAkFQX9aL39p7Oakv+2I8wc_zG^emUx_Yw@J4py7slfLedIc4?R9(gnUQin zRnsLyK~S)A*+vD{9m)}=-lg$A8%#H`Z+a$7{c7(@N!RI9Gw*7B^<<;3StZpx-Nop( z$?0eisy;PyVP#?g-xwpNCgnPusINfL1mZlc$dc&O%GF<-4&3H1?!8vB0tJOl@X`$l zd;MCSm+RN&@_Im@@PyQo+h)!RJ`G8j*;~2=OZVs zJ$Rj=o0S2r^f~RGxIihF$rcV%yhipk{%3t%*d?v@WJR`)98=Q~JIOzx z$L`-hI-IDPI)^Krl#CEGE-UEmQyL8qKrVl|*E!f@Y4SZi-cwLjfZtHmzBfImdINpr z!X4hoEGPDR6f}%= z1&NaQU%9d?W9PC=D$yrJZPjB$?SAy7lt7=xU$`5c0;4ZOF_^1to+32_Ush64X(I?2 z7Fe}i=<{0co3&T%MGC0943`(?E@cg{(|T~LRv(aE>Gi<@Xyg8FJ} zj6&i1-Ra}K&dmTEedm>EraqNiUJDvi1J$M>dpAD(p+qxse#L%S|83%p7s`@2fz9g8 zbu~ES%aJ{4I0kisniWG3GREj2F z+e&z^xz!W_iW$Q!_E;HDV=Y1&*KvrvaV;+vUFwvYUAfea)R<1C2M#&5bBaNMu3D7c zFwc}#R03R4l-=|=*Z34}`qz)a04()==XeDHCPtj*Od?WJ&c8Y?e73(yJb53ttaSff z@pA<*U!Y3i2kQf4V^3AWoz6fPW+2T0;C@;buMc3VWo@0or%TlT+5Mq?`(Jhnn6ynf z2Z5PI#g2-KiYJQGMGptE0l>zfO=&PG;O;dY?o#`}>P%+&vmL59Q!j^b-fL~PZbuJv zrn~?Y@b|6`7+8#Go9u5SOx=%G%G{5{7hIaw*47m9#1_-@mYp%ap_|D@;`Ofc={cp2RH58KvfgMHeEg5|PdRxu^&qdavkP1PBcXd zCwCe@5V4`Q{~Y|Z*zB{R_3DI3E2>#K*{-MP{hv>Fdcb{SHPOpLi|juwslDsKsg`g( z6XY98e0TvH6aAItJK4C1K!>z8 zmwh(r&6MO`l`ldM^9#1|9vUAX-_blyz##{{Jl)qs3yZ)%3t@eUKdKgX9;5TNHhNOqi@oF_zW^=qoo+jGYI%3Vnk ze&?f(JXehoZQ{(2*J3NWGXoSXmgG#4sN>8uDs>{+DF&VTb}<2eSW_@Xi&-*DJ}Hw> zS42>0s;_q<6ThB^_h3`>wf=?3vR3k~SN?WVZa?4ldoZ$c=N*^(Tr;8dYJcctXgd-L zWiyjpm*S>VBTTOLEC7&7VyMz6li>Z+(Ah$j3!3_M^#DoVyTmedGDk0a4*GIL&rEf= z{suE>G*HB@yPcC&v}>lwuIKL;v22Vyq$_(X=+yh}LK}{Nix)0PHh3&HwWX$|NnxNu zoXN!Scf=vB5bs}uFU)(EW(INqcO{5;BbP3Vc)F%dYVv4POw3FrAP=^2!WD3zqMxf6 zjufx0p*X$mgN^q}TY|^vryq-z><%ljZVEeMRMO>lEE9LZ@N^(=Z#bAR{pHO$bcLH^ zC%x5l?FUDEX`vGWCRp3mr7241WLJKZsQdm?zw5gixn=Ejhc37qCn++FXW=ylK7R1X zUp-GlLqlbR9#;yMZGVzQFFPxX))C#Y4>rJhrG*}61?chX>Gn~B zcYWPBgf-4ZkH}XFNdGJYr10<-q_S<}AH~g{J~*lP2G>x$m|UBI>cs<@t(#ZOT{Q66 z@3K>Wov)Kk%;t}}`WLvh=g!2EmFFGy{2U=N$1#QFP~a4ORn;H^I!u%}lEa)vxr<%1 zDEc>Cjd!jAT_oqv8W#TM8iH4l4#L9sj=tPo=xvj5zTDK1)Z1%>ZIs;kwDRHQDnsH> zC%?}&s_c%{prWO&?t$CYj0zLIOkIKI=AMiJ^t+yV#a!q2i!Fb3aAj5#Y87+k9cy-Q zi0>*UzdA{Gwt3u%xw7*NKcjghsbuaa@hS_;b%PIu9?Xw8kMTOQeey*fixW<>MuPtQ zIn8{q?S!!#Wk#qOrA3(RBmZ%~X7u+N=uEr4O4kZ?Lr8&5s{RCu>RuEd|p=z@#CZmT`oM*Y1Y(QkCA#%*}@5vimD2NRFd z87Yiu%%eJwoR)HVL?-T$gjw={YSomrwKp|a<-^8-<+M@VYhz|#A9l&okX_JdEU?hN zulurLE0I2*rGyr<>mClA>M3p}<|_oSQzAR)6{CuNqdz(VM84ZK)!d7_n5E>#Gv4Pq zfFl!!Xf^|wC^p6#U1V@%+>#PI9$2|ZHKgd9xoZp6P)1C=>L%0%^F}{PJ{o&%K#k^a zi0)m6vF}XwW;U2c<2+6a)r{)wd9i4+x;!J+;4%+C@n7fOo zSr{*Da~VQ8N)^8moy)m{zv&N*0E|13i7($jEE(LHPl0Vp3PUYzw|TN*=6v%B|md(|O~7XqxU7YOG|9zVkERkCMgDKSn?0jeL+J;eI}AVU9k@wzaRaDD5Nv z{mC!?|KfhD;TAyq?fNsA&#@%HlPHT#VDVBIcXxM+zKcr{N;mO|9Om0GKJA~x%zK}n zQ?3GkD?<@tVQ_kzge`+M^3dke}_~-f`%4c=$-5$ix0#PMe;htberA=g&8>M9tJ65r;{Q zim+tHlAx@jEPNI-O(oz~CEs{)fT9m%tWmPEUrbJJ;PR0mm}ycNV4Ot;F2Il|`mkK0 zM13~!SlbVew^_z@WaPYL;OP&IAS{C34Y=@cQ+^R#6s< zU9SIj27dqY41TZT6#=rE4K26SZKDzH1Ee*XZ*!qdP0`2&c3O>&z8ur)^m^#mx03;u zt>0g8dGKbG0mvS6>;g8RsIv_F{7D_AicsaXA9;Yzff@E;CcT{hCTGAB@txJ?l9f%V zr4qW_B@0z#(ZG%+>gAYFA`5%pY0s(LSsHJv<5W>maVBr9(5fXdH3a55v)N}lkcWpy z0%M|*N_MhBD_OU^{R?F&uw!+qcmUw%YE?*OY*C?6cH!hBB2?&wq?H&Eo6$h8`6e;T zxN_H-1N~RnOjHa#?E=CI1An>>cwq^5@7{%OlSVg`8aBl5;y=l%YyY$`3t)~CiQAPL z&d)e?*e`4m zwR!mwidSy=cRry*1r$&RP;sN~~cKPdlo#b>LT zWX-K?SgLXf)6xuLJ`AVU_b=GEUC2NvrvrBwc9*4qlG4SQPxx_4)HV`D&BvjalBw5X z2c;A6+KOt>N*s9;aoNC}P)Omnp=IO9*6rzofqnS-Cb)vxldK54AQNZ0pYCFl#B6RX zS2sy!dF55Ds(5g^DNS@_MxdyPH+Eqsvx@tj$WP)_xV?Yf!%o6td!=DJuW1Pi5&l3^ zQ~c+|`PbF{Peo0?`$Sbeg%VUUX_HgQuG3e&+BcKL=R-4gRnYMssPZ}#fwWn2M!9LV zw?=sI4x39YfL>7+p&=o$q}ve_($J{}Sfz$9UtoH=h#@m0)37+(fF8(+iX{O#Q(UVe znZ=zXj<{u6JPYQMv8GxH)S=T<<8mhg7oEtu6rs}L!&o8+4O{cUAg%EC$q#@17Dobp z7&UY9K#qlf7Ejkx5@C3{H8lXWM3I^i$G~Zxp$N2inj{ zD?&cZ02H+hXM?q^3p#BXXR>N0pm;hPNQNW^DOiIgICx4Y`~@R&U6+ez9QvNWNC1fE zY+HFcKY|yz@@)_+ZAg;5Hy|$G#HSo z$+qASKo1A*ST&J6ax;Hz>DitmNg1A?*BpvCeZ}m$HcrU2N;+eXT4;EMRQ3G&cukz} z)@iZGnqT?vo*Q3n`8JmN7jWAoFaXL|8oYr9Q1oG0jU&O@E{Opxeok3Phj40Bv4VXMCEWk%Qz^bM3f6Cw2~NIE({L})y4_c8HaM|!_g!#FrdX41uMe{ zn-Qww*#pbN7S|SL>{ayLJ6(N}=iP!^VVno*%KoaJE(#`7K)7so8Qeq!n! zP{3>nUhr~p!Zub6VGLOu1DXMfv4B3?hL#sGqI%wqx>^eZY!9%e9O#Ghd4;E}m4s^f zx*Ghd7FtzcIyLK=xTnImhQ~omf}=^jwQl77Xp63YOIC~{*<_cJVH`_LZH*I>QJMIe zGl`v|jN`?G3xr7v(k7saBxY+4Jvogv@frk)+mcfVCRsc)mk`Y@W*^Ipr-t;EyG%Ke zMG*!E#l4KaDg{#LzW9pRI*n^J<+)8_XkU43sz~Z-F|N z2%QXvATb^wROLXfs9MF8?yI=Z?FpMz0t${aK?0*Y@Hz#w7D>!+JNG$|l~>BnX;WP> zSH5xe)MPhZrs8h$K3SYM%gfJC<_n&C2^-_q$N$L~_+L+o`0n>VE^Oy#2Tjb4oONv5 zlcwtrvl`8751f_+YT8@cMr^ZDc=4giH}9(QcM(_>X9GR6)Q_4?g@!BY87H=%8o}}AK3i^|w|E6O3-0NzGIg-z&cXLT$ znRc!Jv8LssmBPZq5t#xt^-BHj2MW%y(={3SdzbpmPamPyYw4Ch%_5HCF7H?pU}xs) zCnPU=*XS;gRvzPG-Q#k$*LjxETY=O)Gg5q9X#IMTxvQa)=4yGpq|TsZK!8P=1H6^b zH_hC?f&4^Xt26|^L!-2Kz*{Ow|4LL;)SnUU`-d^JKWgt)S1c6<%J7#%Cz6Mdcg}ncWhPH-xJ|&FB)bLOviV?9AIUyE0?%;smX2^%iD?} zVICIo8${!BT|~3rSV)ueEvQUKSbTkBV>{@9SulhbX9fm(y)Vpn(?OGaFgN_wy1U^0 z0WRtEH|G>38=9jD1+2e?`4MY*)LJKXX>?%YRKAzmpdss6irtYHz=sIG%|3^Hl;>tc>VK)}km zdj60UAZG7j$3|Cr6gqn<`HOO!tX6>WHq~Eg2=_1iJo2b`x%20(zJ~Dl3chA^WTpvK zuU!=^ef_cd1#Ke-tVM9f1b=Oo(&HIMJ3AJ;L80Xp5V#9!s2;$o_Ipj9I1ttD6$-GM zJ67DDZte;woC)XC(S$vzm@J?MYcf@(vVcx?X zpwJXOd&8gUk0e_*MMGB;4j(xZ{`&RX(2Hv9y=M+j+sJ{ozc|^2y0CRib{8jjF8aE8 zL0$C#%l*J<_1W)GhE`e-$m3iy@51(0dM@jNkyx{dLZLeHEL0F8;_PXaZ`*Yh_H`|! z`wpBEe+v}arseIQ@i}*um0Lj}*}IVd!Y^Vofk||!u=LB9FX~z7!o3@&AoF+uOS)IN zv{23494UOGxYtSLWg(3%yP263Ajr4Wee2bUV{7GORX*TC)i*cm!9tEMvgK_3PLDd< zUQ`~$%`cQ{3>_1ekdTAe((nozIVP2jHOGYpPq|{t08np-w6?W%RC>D32OXf<Khmsd&|QtT{AHD>$pI%pyD$0*}e zx@V?vbGF}=gGRTV?Oq0{EfYE_Bn3FfEyUSLtUE$!mp!xNq38A7p^NNZNx;F7H6A(V z(9mRFUi5KNG2k{nA?w zCdiO74YA{;xhw8h-gx`OURvb}ij9r+YuM>@^gZmQw~R!)rQV+uvp=Q7bn7#I+4>6B z{nQYef*K5!=WN_2S6+MuHR};<#hE&py24qWFy%bJ_y8~OE%+9&tLY)L&)d5SyzxgH zOnRp4O#hCY1Td~(!jCddU?+;3cZ|7xO7hX|d~7rIh??}FR+sTQ?!uwEU_J2I_7;r{ z4?k#6*FelJuy8WDWIV=Tf~^dPsuj4;Tdq&&Rr9&oi8KAKaUj~qqc^k^r6XS8*~C8; z2KSj(;yARBcYo*>bEVN65B zw)097jS_{ba}V(Tw!YlG3{s8VK$S7@?$&pAW7^Zy669A+wNse8Q*-na@;P$69>QK* zQw<_`JAqi++OO8eZ?gsnNkz^ z!08at=aihc5n`2rx|o6VH{um`7ujWI8<+32)4R@FXDq&sneHuxzH9}izYt)$cGi-) zd$Ga;ZgM6hA<95$Sy*A@#0wQday%~WN?P^7Qct{7P_ z&a3;*uMbY_0%4CK<&Hb%q1qPOwbYJP$o6g=@(&9Olb=6wAB&aRb^S@DOIMx+<=8#{>FP{wJlvH3 zkeG;kD*R^jTv(O47sbSXdew8LG7W4m4!k!q8kT5H4ne^%rLAF~u{>$sAt!J3k3N$R zLEL!xV5i@Y+!cJXi14h!@82qbbn7E&lPZvqb9Z9oC8p)4xElxpT8N-oXrpKBF`gQ~ z7~W3GbDK3^AL8C@0cMAoV~Cf`?X~cR?*Ay8wsYET1-xp*E4+DTHBaP&$-dD6Fu$!< z7RC`iLy41$n+jSiZJ(eg?xnAO!Vy!_()cAL3_v$-2TckXLA@|=Cv`s9ZBjc;#|f7W zl8`G4LGEXX>P>^zBKtnH?RGNQw|sy&kmOl``Y6QI9e@d^tc>JU_S#7~{&+@_WDuWh z0`$pd^t?#ML7#GzJs5yxzsB@tz^FN#!oh6~;nNteO1Crh;oeM9Y zJ^LNxu{$s_g2r!FyirzCx^&F}4|VmV##3*Tm#>p_H2q@O#w_@U50GB3a3ke}vZ!dv z%gfiKlrx!3MDhnn=6~-dSYZOMVF;$=o#H;182jpVm(+LfG7O9DYe#waig5hpZ0X_Q z(Nb<_{xvh3{#JVZ;Cvn&PM~o0}x^sBsI-DyPl()6^#h|)*qkk@c>;G$H*$q00tPp z`mj_VRpJv6z3d3VG3cJvVYJRrh z_DatLx_XAert%+73NFI>=l7a25P%l}AM0GO=Ux*C?~peH$Lay8ps?`pRG8|w=cc&_ zxm*ct&es5+V1?8Q2VV;yxV_x<;oSt;%9~4FBdsbzI?!Yy7WGGEHhvA24FyTg1!mHq$xrTL5_pBYe zqzS1GzYP2}MBDbOul<1vZioA|h`crw8xk);B+ZU=jZe%KBJnb;B&J9Njv}*cWY?9a zfDnJ+z^ki8 z5M5Dw0E7!5wL@-WmQ4miCubrA0+_G8dvgGvU=Ap__TlutG;9*W@ps^VG9C+CiwS_` z1dJNb&KV6|r$Gxyp&=VuO|n>;T=$qJVSW}u5SdD$7veJ$O2fkO(yNpCWsqb!zr}hW zyD{*2vhp{Y9XI~xpP%Qy37Axf|5%v;kI1h9THK%g{R6#X1oo5o24IW=ec0*$sSq+c z@W$l?Y2$wTM`3%p1v_Qr^Zh5;=NN$N8NhKkqV=gl7K1;o90j$Rs>tn?0sw3SZp4m; z1a=*+Ibo=SyV2K_kR%YOoR8oYBux$3=ifm6K=(fYvQf4=UH*v=zIJB4#1vY#15Bn* z9w|A*;beeBgrq@U;?QhxLtY505C|bHaKDjAU-MVb%CHgqDOr4pnP9kjcsSn3eIz_u z!uefDXecXJ)=qU<$b-DSqYp%_{m6Wc?%z3&R_E5bxeG8$A?Gn`f2%jvwckBN+m_-t zC&BtW0D0oNisrDU`jP!`aQ@(FpYM`H5L)+=VFa+4=3}^IVu}8 z``(oGKfAS4i$}1t+sm?q3Br^5y+rQdSWDup{c|Ct{iplNV{$GDF?aL)+um;C^gr+I z(f{1rL8K4yt}wf;sw&9d+|b}mSRYFcZd``ee00<9gp>;r#cq4{19TZj58=(5M0ohI z$xI%7S)%Xc)vH%yNn5fT$dzI}3$O@_W48Rwij5N-sz^W}QWBSemGu|Y@-71rMI3|R zCu&Qryz2vQdMrtOng5Sgd|7xu9_9&H2hL)!!D<3Lr0epmRqmK!*3X>nXH}04P|B9R3s%6=g*RE5ZQG&KHI9 z_W%x?Br{=gv+V)!djzE0*Q?@L*(vwOg=$p)V9+A34bY+$8z;C;=s^xa$Hui~O@ImK z26NaXO~INZi5bApzv_AiOs|`h0eU2Aw9tGQp6Z&@@R!``P?oR*TSxg}ss{2<@ePbP zY4=tG(N6!pNR}`CE@Tm1$RN^K6S55Q-=Wy+vs!BA?(HY*!!{5n%-B_NUgSZ`2hRMt z!9@(;AMHIKpN@PgGow%_E@UEDkIVZCctRo-@6!|yK~;i`m~UQgajp$ z#(jS~pI)|Y(bux2+!e(F+G!SL?o~r1gAE_Twg0qKfb492>E|J5@&`R={y@V%>iM^c zxfeWG6#$+;TL7*4mOdeS1a_J_&io6h;gd{D;!A7G=HVj64tn-15yv=> zHae2+w;XLSB*ihH#Nx;mqaXYpsh$_2dLpo7*#)|Y1g5y(BNJ5wbPIdA^K;AWqXDnw zC`X&abg7w&Hcmr8C}^mU=p1LOTxP6!ZFGTA2$JT5SA4bz6uTJZLXn_H;>gbKKOlJ~ zfq^P^A_F`WQNsKl^vkV3M3cic_Sf_`Z*tDX>q9zLKfyGrmq~b%I%F z#;zl_@fTHc74|(L$}r65rT&Xd4mP)j`n8&uAdBGzFBbcm3i zwN?YPZ(4rk3w%Km6D+q;f^q@ik;EWW&43P_A4@`%b0RR8+9ICw=Ob~xL!f&)kRjP> zPw?7uSV7?W$eHhSZ*jj8!Z}EGq(<s6T;Xjov_OPL%hyUnFq5>6l)7a z$g&HZfm+UTAUn`r`gyY4TXr#LFcs8-I1-$411DsK>9Hi(?W1u)Tr%C9Ti%_rBu9wX zM&y-yPf(&Z)XV>H=pkY2N(Mo4EU2*F-zuu|592o%^P@25g2zW0UHVvtxV8M1sOQFgeda(gg*o=6m|MfOdcSwJhe~?`xNz5?cmm-{HG0J zYh@Pvy{2E@R0C|3Mb=1W7SDyORQyu`JL6Ueoy`R5WE*w;?YObqMh!sZvze1IP+biT zVbGvwsFEEo?)Z^YMNLhNf#0$i5tRwa09lj*%FYBDs1#P<-SSiqhejiss|09}WgJfvy1N(cWDo)d>QJCT=4rG_^De`sk`x0woA&fK21~zY zhXDS5C*fjiJ#j}Eo;k3HQuIN$L9tJw4p3))d|k;dCcG^oY-1~u#=+^tkx&wPENgZD z{Tb3qWx+$rd_R^5`mSXcgkqsg*jFKvjJ$!jDrm3}V@WPk-2gHn8PwL45N(K_VK1LK zQv)|)%ix4~tP}>sIY%-;mnD^RJa5c9moQ&M;4PlJcbY9k8(14WseNUNLER0A!8GRS za_16?idJHe&EJ49Eu<_qLi*@g&W}5|voJKat<1uG3gWwqA_Wa9Zx3hwN+vh4nGcL? z&W5HY92u5sYbqEz<49Y>iF$aXrivSe;7Fh`OxUdo{P&!U6h_^;f;k!k zA()>vyOQ~;ZM*W)>o-9^@z0QkvQiIu(x+n`CGKdhjZ<{aiVqJzrqc&*o~iaoR=LVk z3HQ1CH%It%ex%{8{>%6Lo!L%E$+&C)?~1gjUYX#>5)sk(@0ik&i>i@0=+t99goK2L z;PpB=<)PsEBP1|0)thksL@!+=jsb{5mk-$rJ;4BJ;55v;|MGACrkbgSF7;om^0ey6 z2uHcp9@7KQmox{$X)|#iMD|By(6MX?0!q4q6uC`&{v@QAMgt+X4Mbs}suIP1nZu+m z1c&$K7ZK^$8naD#0USauWNRvMJP?HG`&zjbBkHR;bRGLAZntD zKnKK567wnk=`ta%rhXQ(#O4gJoGG2HsVZ?K#2i=U=SK3_21V)q$M~Nwu9$(i3CBDi;uu6K{73!_Lfn!VSV7>lgzBtEen7BWxB;C& z!tL9D{EI93goyQh>UiOT`{j8J5N5EG8>^7%Lt?qm{soIS*kpzQBtDdXc6vVpj}=D- zF{)u>kj)38C?f#?y(U;95I@T}Kv0N55Y|7foZ4I}u9mH& z=4cN)BQ*=8;nBdmvEtu2J)!jDNWi-DDX_OSLu9TorEr-;eb4+H<4in+k3W44s~FgcR-i22YfKogjT#4! zAGA8{t-Snp_~GAZ6CeuBg*8Cmysi>AF^ zl(q$@gV|5D-mW`|%Q4UG?JsIGN_GfH%_(AQ9V@xu` zpRL9^<>K|5)48SHS|Fl*h^=U^FGAMc!UJ%!#10)NXJ>$Ud*XwYI)tYP=SV9$5pQ0t ztBIHKY%GCCI){k3J}&eK9*(1bsH#27O(o@lYCK=57Arm&Xt2)rbL=Tc=EIWDSGfsh z&e!!kxRp`2I%tH}FJZE%mtFbi?>sKw7~kq- v7C(vq+pj-vJ?>wVuK)b+QvSa_*@m1(y!1iOYjKsxGbt&k-prOad-6X3)!H$! diff --git a/notebooks/figures/05.09-digits-pixel-components.png b/notebooks/figures/05.09-digits-pixel-components.png index 9eadc01ff9a20cd5ac199f89f6e3ffca1e2968fe..d6e8ca64519ae63c7f9210857066d1281ce89d88 100644 GIT binary patch literal 7923 zcmc&(2UJsAx&}M;g3_cYAOZqP4^jjK3>`vIx^xI3l+c?U>C!QPNR1Q|Q91#x(wlUG zR1pG%UWCwjJ9ua2u9>^u%)FVk-dPK>bF$Cg`~3Sa-}mhxO?9PH#~F`PQBj?O-n*+! zMRmvmwDXP~0slvg9=d~%L#}dAonzqgJ!bh5e5Y}`_rR5k>cn};i{74rY0g)3M z4OCPtn$WwlI-W^$Lp~@SVny8&SM)%G+Ii@>p1}399QL)e&>p>Whu$j(u>}VO_gs{{ zaWPY|rtCO3TippdtBbODj{6t$*;JHidxP(A9J95Mga&CcE?wq4@Pyj+bz_o@c;mU~ z#@W|W-+TmDcJgWsZu(RSRP8K&wOmP*@=23qiBJOX0j>|vs^<^tzHZqd*v_N$rR4z9Pn*b+JNplifXCRI^LemNCeObc2hcY|CVct+pE zO_S2^Htfw<%;=}t%eEN!$p5I*|ld24GzcejqQYpY1kyLXyky1FnXOoa62 zy`Z3=sEo%4kBaVjtxU8Ul%cX285ze>5~~gD5mQkr{P`|JUTcmtT102 z{6-o;R`qme!!BO9z#dqgipNWGa&ZmZ&-TMxbzAOit~Rx{_N>hfAl~t#Jex_sJwC`N z=9sieUJ!s9lsG+HX-l}*)oZ}R&E0WA0ROhGPI1V&o|zHilA)&C-)5+O+he}_%kvYQ z(4%Kqx^V$J@YW-$yhYYvY=Ayeu-QYFchP@`axww>;mX?6o+Ee8NQ5(c~cyHbV@Ky+CM-zR0 z%;6K4rUF_0H60xCb{7L>ru3^eW8-c-NPBNsob&eWoxn4!y?yx>vGMVkht)5>F(18p zS-+0zh={Q8)O0S+QMz==dT)2fd+nReD)`QG<%%rWaEfh@pE%Kz4dV*QQHcKW!~7Ke z&9}9Uc(AOGR?P*#H4=GFFb@k(50w|2co8o`lGUZQWgPb%((ctqSkekEtKqJN4A%15fv)DTFw@<02#G++jfHn!(acfPu zB@av*$q^eD$0H+SnxCIvwl!bATE~REE+n)P@C5dabNv?!m-S}aJWSASS zFa%zMmh}2KU$y72tFJ$xX*^{M=Yw*M+~eWn6G82s#{$RyWTOGOeA-Krg;~m5hlYkm zREO>X#VE#pt3As1?zJn>8D~`bZB4g|jl^(dW@HHCx)PC<4~Rsfgvs@-J-b!O9Ejxu``B8Aba2q|_Acwi8V_vGfN4Xg_TGN8Ykw=-UkH!q;o%uy z@+=70^Pd|kC(M783&w?3ZZE6&t&awlP3Pp!@(La*h=qB1mDWYD;f|M^gIXML=lJ<~G zGoJz8Gk++vzlkv8;q08>+115f_IjQ#{n@iawY9Z&Kc_ks2kVwE=P>FH@|Ym09tYNJr7kXvdIJD!R4V-PDTvE;<^q4`U#{t@-;@y(pj zO%Q#wtgN`493HS0!c+A}4_$RJeN7#G{=$XTZ#F4V2`|=X*GME%e-XlPrBPE$E7Gxy zbgeS1@tXXLlO5xY(Xq+N?Y`X7^kNt3WK?roe4R59}!d1a-(IzD|(5C>E&zfiyi_ zQC{TmEv+?C3=UHK=J%&(P(NyDn5BL1U%Ys+73YP-FTLO|9gmveMT~%iNg18Q!g$m5_ zvI|JF>U$e)0Wpb*K2600g|uFmoa}6^cz$D!WIQ!IV??!}Ff{x!BrTR#ziDiVlCEr$ z-Qv`Go}Wg_jDcGB6KpO?AYdcpl0ls}SXc~?6Ift_QjZvH~63Np8#W?VDZUX(V*jDzFCkHCP z94_LQ(YHOY{%fC7z8P!Z16Jsa<1@TkxkL&B^|AVlOdhgoM-Lk z7v4-PS}2mYN$PFwUKjCe6Bd!S8?}UuaW=+Q4R)`G=$z?@m>Cn1Ilydxau zN8G@43zaH`%pDY9VqF|e{ogW-}8@5fEgMzFU~w2nf|(E^GrceN+Q|OetR?K5Nzy1oV1la zo};G7NjtXor^PnE7P5UrORU4O#ap5!YvV$l2^s?;n%59fYG$PABr=<`1F z&U15rckoddo7(LUaW6>nwTmdEcVsB6RrQaIff@EU-2`yfXMTvcZm^WhAZ@}M_HO1p z(%$!7o|ZJWcggvn>AwP~#TE~rJ%7YRRNB(<}NAeQ(2$psYjZ1vA2E=d?}6Lm(Q48LH~QVf&s?<84TeOKxxM6)X)0t;yvHvPZ_}7@k zf2~(-pE1={!gHG>3-8mD7eds+WZcOdurYz#>(8^7q6)~VjIc4>%)_!nq(ruseVTLg z883wgg6qazAqp3yqWVov`2X(~t%V2mOQVr)e;W@Pv=-XZ<%NJMVG-d**9Dj;xFk;h z=eE}j9Xd?)(!sIVFpBm9vz0679EQ|~4(~Djlaz9potwOKCUR~Kn%uXA%lJ32bt zQqLu*4GBP38oy8vp9 zdG+cosS7g$Q1D4x(|`&4GuFd2a9(z9Ul+kG$A^Xx;^ZW}6)n>L$tJ?FWb{aDip`Fyt$m^4|Ers2^{f(fAVN(2a5)z^@ zu*Sy5{u1YOg4aM(O*lTUsWD|Th1LL4I60$Tf_GOLw>+d@L$%Hg;!my@ly3^TLktvU zgHrnK+c#w>R0}Yeonb;ssRX0TG9Lu;0G6fN0m_GtzCK~1G7=pLN=OVh3^nt<*q+!F z+n;X{cunI?p2x74(&QT-$B-R%PA*gUq(;DIG=PmrTWpaaY09fGHd>}lh8yp?dCR0c z>p?R^Vh@3#}+rvZ0|pGu|ZU z9J}JXj0}$J_4Y>~46Xo9+1I>02k?+j;+BGoBH(#lpPwFeBN%&dOGp?1Y{w{Qd9Mb? znGUayFA}5)#POY$3sjiR!?49l}oZ*ge zo9oxDk6{B5vkk|;U7W~Hwl1rTG}?FBsS z!Gj0hKyG;IYl)dYh8r>k;vHVm=y;)*E@eTnL=S%F^;`EK*+5<#?0W@7HLe&4&rH{N6CPL9gP6tv* zYzKvtS~bO(U5xRf7d!+eGNM=s8pX)OR0t5?C5u@nK-0wb z`~j6SsPeA}4h{yE=rJED60~c>bJ$I_ry3O4Mvjhsj5dY-7X`U+4NitudK;s?)0p63N+h6L6G4bE9YJDwKzb<>=<$WWDgKQkh zu3sT8V$tb<9M2;B|qGNz@-XG+|TjxiRD)IrLGYC!PeHKn>t_ z9Rq{@39oE#kMUNKZxb*J8(JNVKzS;DQeA(Fk&w&N;= zAC|k%b!Mq0QrL18dDRBndlG1D;HI{M!gC-Rt}TqP{%n5r>C-2mMr0Kf2=f^hsW!*) z!FOHV-HQm$%-k4(s%>pn|MgUC*)-4ImkpW6)*Q*(S#QhABt%3-n*fLf;t79zZmqw& zwT_7ic4@4h7pNL^Moy1YNZT?(5M3P|ioPPVz4%lw?|v#!CwSP|(?NIQxO;iw!|Edx zVQTm23j40*IAZSdZTGy5fyYMt@xAX2F(Bbh2lHZWR~H;W^cd-b%*}J-hK{W4A3tIiRP0|J0BVv%7UrdDk8&wC(>#noz)P`KM?7ICur`}1T85)tIl4+z?SjfA{w5Ewjz}@&#en3Dt{qbh$p{dGD#zK-5^6m~zy7=_Ct~DoB-E z^DCve$hpcJrjvsI--D0iG4)yM$vH<^JlQM-?U#pr7VJQ-M@#t>jY2Ax z#4ubbzS_C^xHwRjC{?1KHNXhe`J#;W`zk(bvys)K?G&*W2)jTxqkq%JWXj-Wc$-4Y z<}1i1a|6X1pukTPa4Eo#vH%mrd&vX{!WY~)p$ZBLn;?mcAo_)?S9ZmZHtr>{cz%B@ zS`1B%gaO4sdV5h`YIl7s2Zy5&N*zs2Gtc3ylNpQNb8#6!ztREpjt@&qqf$?>+3)Ov=W*(FQsVAf!J@m=t@Eeb6HC zxNJx@UwX=48T9r9X65T`jjEkF}CPoctb=<+`1do zf_#g5`=K&7*{zp$B}5$^oeW^D8KCub0EPKy%>@nH+Te?_dp@>xZ)qk+MxQdRA9zIb zJHuUF2-q_O1;TcfojKAGZ0Y8t%w9H~iKnape({N8`J8AMs}PM?O2BUE^78VylQ>Xo zkj=$$s6#-5u-)}jRD3~FROJ9#YaozcuVT8gfo^sLrK`$u59nwh1H`_5%^g_%*>!P` zmW~eI_u=6cKb%0hvHu3qdotN0=Jo4rpnMR=$NP-WKRW${*WxT70FWSFi>VesKnldL zp|TggR#hKGIPODKsy`edkSXx5zuy38BS0Si2l&T>=^~N;cLWGD1r*Ty2aI2E9zT9O zCN6G*EdB?`c(3vA!6ra8(9V4ld%BIOv-Yl1HZtXFYyGry(A&j*^1Vk)m%-1%vbFyJ5q~ zuhw^6Cg-!@^x{Rs-Rnzm`GtwJ{fQRV6Tm4KxE?*Xt=n%<-G2#C|Nqx5^I3kX$eHg; z3#x5eRp#N@OA%_}LL$4V2r1RD_>9fH?gYlYU4m%>cAvzVG5_bJ=%1Z-?VIACo{9Z^ zFA5kqG(Itq;#% z^*uYMM8<{f`4YgMyU+HR+54)7`t2Q2+uK!}xpFr3V_bjqx1{}W2%}Iwi!V}KzsKew z*v;MxatB-K4`l!Z9o1c|VUx&fCoHl#5fA{M$C-ZoJm?9PXdPU1{W@)4c_bRpK{s&H zb5v6A`18W<-2<&4tRrF@8VTZ{5ega&_qn%Sul_nZl)L%*fyS{@S}YOugPDh4-YYCD zz5reTtSsF_W zL)jwxnq}3FrYo4YCGOgK!m62}UhR<% zm-DkBr)T==LK)iouWiFOpDSzIBpl6fwDjoPefJ-*+A3=Pgeaiz(!NEwXbJtIQTwhjqc%$+zK@t-mgn4`9WAU2SU&+_Z6Z z@;G&v0U@)vI_aDF_U%zr(}xG!!y_V+h_>y5{QRnmi;LEjq@ap}3~;xI*7@@fRD;+P zdDa)I^hr)Blzv3;vz|>Q_gwY#^gh?rTwPyVjTWW9%xdb?owheEX}Y5`4T`PL4hl8n zFZ1Bl88|C!FW%c5VLsez++XImnbu|+GCbFAr+fEqRuhGyt*zbfzS`Sw+fE!FR9r9M z*T5!tP8RDf&y7nOD~f7gy&BiiVR(?4*=oA4CN(qDm2|B2NPJo73tuzlS3CpP3=BqV zQi()r&q#+~0W+(^E=E~dyZ+DN?2;CN6Zt=wR$-Ts#||DkG%`^*NyW)JI<*?P-X3XA zS(+w`@u6l0>L^9-Gg8hY*Mhj@b!G+|bWKg;6Vw~(6qm;&4<0;7zZHA(=KYD1Wz2Y6 z*7>lPQBi5PDM>Zi!rD4IBUA%B?VC5_c$fDYmNR^B8ETBr= zC>dIKv=Py(ull!9yy9vK?ATl{!kp{0eHpugSH8A^fepdUuy^e1dum_JiwwKcRcf{{ zIW;9ED>W@G!?oMH)nk>`%0;N>Dl&J1huBb(G<4ADdcMg=Rs$mV>}&~}3jaMi7>uZ_ zUYDeG_Kgn=_|FbpCXTnuAMT{u`7RrbM%k6z%|AD|h*jq}b?4o#UAxj{y1ghh(}ooW z==MCjyorKA?$Hn1d2%f3u>JOrCccZ{Q&R_Ctl-5GIpmJ64)gw5TF^9leXLXW-f4uV3E|4-eN13JRin&v#mi=w*MzDtMD} z&1&{|Abp8m9X)xDgJ|!WIvM&c{AgUVK&+Q$R#ujr$82(n#MI`| z)=XVhRew3Bp~EQaRzmdt0|%sUlp(y=SLc~@2bsDgz7cJsNG{{4!xa1|L@BD`An8FK zPGN1qbam*0qGqguH$B>xyPY=Kv7wr>OslSGYWAAlCiDv7aX3!oe1{{X#)}vI1^4p; zUBPQn+iqW+gyY-+fWuJwoeTd_z_;;-jFd-klkz|k^@Q&uxE zF_B4^b+OB1RD}NV>C>m|r|sWpYH5YX#)_dvS~Fv}?d29mVb8c{U%YtHX=(O0swn~W zf|-XWGe7^d#;cP`JYGNjENhb-XD%x&DkDATnxVe8IIz1Px&K{ zA3-wBsoFxw*)Qk$T{(U}-M+w}WF@DEX=)BFSYTO#w6|${chh4yG4hPBuCXxz_JTdJ zKk~Mf)s;-+;xlAe>PTb!W5=xpp?QHx8c|6L3vOI;PHLTnuC9dBEK?DbSK_9#v{sX} zH*d~{D6Zu@ekypF7ueL)bWKMm3DZfE)qO>FBcBi#zslpY5C=h!vj2XTHs0P^z+hBn zpt`=;;45{f?WDG@u8@L)@$1*G>kkg?uUici5)^D2&+DGJVm{F;g0HQ;RQF2!e5;}3 zo~lWqbRtn_vS=o__s0)N8$NROH7%|9qM|eAW@gDydoj)#>qx;j!;?M>-#(Ew1_!zn zjv;;5irCrNkD;nUcy!x|w$8IdSEFSeRU!7eW{Q3{?9CbXy+udMrR3*d56iht;cw{f z_L`~tR^W&qG;Y0rpMf6r!TM;&1hm?Zs*u*27XrDq?Wb(N<)Hfe`=5n`xRQi*Z;Qs) zMahgtmaZhy&pZ>iG&>v*`6DPGP&K@tYfvPgS{v0k8E!ud{iz`x4Q1DFYlX6eAiO*tU zjMp?OF(JX~YqmK$lC_bVVSo?jk{@}nSK&*9h(V6?sE%z{k)CBkObaZQ*1f*g>gcTL z<5L2;l@7(NPO{h5^7bySkCw;h+O&=k+cAZARz?Yh=*N3`sQ6ePL6jWS=G;VQ8blw? zXH=$iG050!N+pO#(fG3BYEA*ycI=06@q2s4#l`DH6=!NCJ?6ezhQEB7&{OePNLE&_ z=@I#8tmlMmgMe^`K_1m6v$#@hoyoepq&UW{cPE}~FKxnR+ey;?`t@sSa&ms(flpTb zBKSwUSv*AJ22Sx!vSpZ*8p8=MEsbX8dd_1A7NPUF2r&~v-1*0;&|4Mk9tH7tNeGIG z&6^$IAm2{!TV5!J=0H#_e3FMV_E|JX&b66-uB~l;s}jJODlAt-qZ(kvO)L3)BVWBr zUY;y9u`5|jA~_AeEnTB!3JM8n!4cDX1H?S2g(InHFQcO~MnDYj@ zaN+*xmr2~VFWlPN`ekfvW_kHJ{hLb1y^C3E{M+{CLp zBtkh4!(f0$7OEP;U1vDm)0Sn5m3JjTvrc@@dqK`9ScpsB<;*g#?FwLQPXm*!)J9j#_${K~)NK4Pd+>I9flnXzYtr3Vl&c~;+bLUQW39}~@ zK9xlJs@7L#mgY;>y}#Pf2V`!mv8NvI_9t7U=%NUL2!6x%z)D4uu8k0gvcnjn%9W9k zk!yyA>3w~D>M>@)L)5mmu6llM(uU-@C;uf-=?Ydf2cYw$WzjhaU3&+ znvOM0G8RK04YMm!7!CB%bp@Jis+y{6Z8ayc4%TQ#Hh&L7pTAf6-HGVX&>J?MzJq7{ ztlEhgC{ao%0ojue@hP4?UWQE@)8VBC1jJ*EHT6&rW4D*v8a zZ?41Q&PjXD-Dx)!HXzng=K@&7h(;CaV#Q{jfg%RPHf~-aA@Ur3kxwp7O-&K2+HJ<~pVQ8fwybyx-^QvLdq4lX z)cLz}{WBhaK*?Y1=$SJKfoM$2%DNf`4PnBbPgjSsCOvNVuDV810)+k|iwGO4k9o(& zwdMT6p2O2$0ylks1)T?_>Ec4H2!C}|PcJ0~>FJ*nt&CnHKCeC=I)2PyIxmPB`RD&+ z8JXfZ+ZV^SxlEjmjSbp_mV-k!wDfT&S=~!O127Q6pFjVtY3`3c6!B*tdhfZiZJ#^6 zI4*g475Ou=^*XVswk>E(?dL9S#!s;*`B6JI37-+$G z@6b)?vvO`f-{|LBCyE-8ta?8_Rm$Y3WfeInyEQ2xL3w?twN%P=qQjy!U?5N@(>UYV zvt7_GQ(PyzmTE5h^g4E0k!#vlUc*=@SzEGk9%)83C@kN3-+n>exTMRnXkD}_Oa5fv zmcwE62zhjS&qo`3)3h`6-m8Xfzz+ye5Oh1-I`i}M?^W41RR(cLV>+y7hik#ZeX1p#FP{py}!9V<<_B+AmLj<81~}NTvo6ab9(?k9mBq=XH6cbsLE2 z-!hJ?k&J3wBKuSQ~&Jj>=gn_9UGmz;Es7=*Ri&%uoM~zlhfa4v-YvFQjm}D)1;)>KYJ4} zgMIPzv;!X>pL@iMurR0Dp~g24!;n%JVy#P2-R|f(3w^Rx9FO9^Pzz68ljtNYia#(?zE~OzNM9P zsS(t@l;gl95&axB%X-`tDduSrI|m1HluD)go6ZLYB)Nb3b&5?OR5?H3_w7(UckX^_ zYU&xXv$OL>G@8k}6U68Om+4qrmPdcMt`p3B6zQjWEr4&1)3B!V&=;likD0WiPT4vQ z)UtVlSdsHucn3426LG=Z z$W&0U-cz4g*pVJN+Zb8**^4SN*W(z>kH&*49;IAXYyoX1W!-$d)eIOUq7Ff6x zFeh?pD4qmb?EW_vfi62mGizhpj{K|R-*PFSfM&}!@7d4DSC0_BTIe#) z%)yb?YT}DbHWWQnqxb_ItB?U&3PrLP8U#+-yn8ER?J>-yR&{lCEifZ23sO@*4~k`! zP&F=Hnw77d?k9`6qbrwaqfq@l?(a|^ot!Ck7VxJ2oTWG^_rTR5ehyem{ayv8ry-1z@@qI zQFmf_@23FTP<)7oQG+r%%xSDm97OcPB1H|tM?+{w(ZKCz99O_6P>AI+70d((g+hFk zqlhl*_Ni7z!}2s+2}aHpdt|JDLzP-t3AhfIF|>w83!sBGG{OS{=q<&HECGG7cU4qW zKrJ=i+q5~ygJunb?tZ21MTFsGQWU1iGS+)QZ*66!0ogz}?K1XCm^@vGaWs`eL7XmK z3bZVUi&HB0piK)$Mnt3%2%>kE4`MLn+dw(&QdXe=C!(@h&O!nbq?vm8mPB=y@$OO+ z$opaj&x2TcdJqaH!kl_uj5jx5gR;^JbDS&y69b4%#7mw{H6%Hn`kF}M>nP^c4kqgewxoePqLoB5WpZNBk-Ax5P zvTY5Ein8%!ER3CXp6K}Mvd437EDNc6nvqLRs?WAUTFmQdK!6t191+u*3PL%EUHYO- zhy8q!a1O z`q!_sPQSv`qQceyen-H40Re5Ow%i{SjnhfL9tZJAfyNJgfNrt1Bx!I|NsN4nd$521 zeqe`5+NOfI>=%vNx<-lgFhSE?`dP78+I7P4Q&p9^gM}!l%FAHfv;y8t(x^Q0_v>Ij z47a33(oqg1h8pyMCf<-Uy|>TGJ=dkQcn%K_>*w3Yjn|%gtqvmteV;&rnyB4Dy%Z+NGASH<11>5;U| zZ`{0`77a06)5IPui%1Qq=v?qu-kFfVRP*S(Tg7#gi-I!9!?b9~bS40~4TN1jH2&-* z?vSWqGU^3?N=b=vX7L>Mkcd7rF^iXvceuO+P+pZBDb@V6p7Q%M*oyqM}s4&D+c6ToP~z7n{J?#6$Pj4mmUZ z1kBQX8|wfN9jboL`z_1#vCrzL$z$g+wHh_jJF(Rz8fCuQmuJpkEAI(Bf4pi?6C``i z-5-_jR_?Pt1y3s4wJQbgFiF$RWLoMe?o!r7OG`_~SSCEwI%Y0~={Vg#I7l~S@;V#> zz_+#XbGs*o*mB~?5hY2>`sUi#k^q4%m4R&Wu!Pe_{%J6WJ>6f^Y^=ge^*nD5r48{9Czs^Wp3zQoRryvFaO4W`B))*QIR2d2{EgC4#_TB z%EWgSdoFv8Lp~~nxF()PMwTp3$j4^x;XM6i&?ZR|&<+ZXD7MkVW5V)Rpo`FyR-?)G5^<8+7F}^%IY+C3Kq6HXG zTDoO}0TBpENWYDBmi^Zl2|ESXP{+_dnI)a#&xz)MY~<8t>*?C zpCyBd_AC5<{-)+Hpy>Z_!B%=uw|sPGlS%g|y-4O*LFDGPwSpL{m4TB;rb*Cx2DD=auKHMvw(nb z94;NKPkAFI!?(bT;1+(auD;^s)8{I@QoA*LYoc-N!IL!V1mmBgQ losWNcKK$Wu{Liy=)|b3@DYSRjJ3$j%f z-PQGeJgN>9oPG9QGUu3MjyV^R3UcB|@Obc0P*6yc5+X`aP;UaDpk7tIg9U$?`bVSy ze!OuOmQ;BMzI@)9M1bGn93(WIp`Z}ZA+J}{D}ImQk6bRI8ZOHAW-jiAPNq<{hAs{^ z_AWM-MkH>gPR^G0b|fqe%nU4aBo;0%4&024|LXzz`tyzYxzg& zPlLWr)NB-%(D&AJQPF-F1#(hB^u%G4>x|Z?X9;t1azS)x#NORIkF8hD&S|Wp?HA)* zySat)4YnUbP=()-{^y%hYD)dA=`ki*aEv=~72}a@HoAz>bb>&&!P2HKuTPu1( z08=P9m~J){UmMkZ%9Z!mw?Ek(`VfCO&HtYZu3EB?_;3FPGaUKbU-e__GkINFkR?cz z#OwQ<^&i!2rgl7@OEa|Wk;QRtyc3Hj`gPQ}CP#;LaOS1WbJBM49XvIbV|DNHYHg}cR=ri$(yGU1ECx3A zYt;C`($Z4H=f^ubou)5?MBXtc{x1(1u1LKG12MQiHL8P%pHIVOa=0;P*fcwQxH?~+ zPBd#w;N|#P7Z+cp( zqU9e=W>!`Pk2}MsPoH?N=Z#nN?7i(;kJz#3Gy(=U_s^XV#@Xleyy>y^eV9wKo!~Js zF?IRFP@5r^G-UMpE%MgYoc>82w8hy*e{yoNO>OvOBxUYUSK#XTXMclHoX&?S8?|4~28nl%TTgcGcJp?ZohMfIcU>lh-a3NU z(WM{6S`*sE;s}PfhLha)nQ3TgOMm`cE*hL)YP+14{{8#6%aF~mN#femvHMsShke!( z|7q82sK+CF|H8UDjDWH-8oQ1=vsKSs!Z^O`dAssPK43h&=R+SJA9n>#{xiLBLN}an z0;hNWx4p!-D<^()+s5w_4z{qENNeUp;NE-Othh^(qZ1No*IA%#4#uC%KHpy*3?gwX z3zDGzC4RXTH@h1o_D7uD$G*PYpK;{Q0b5#-RfPQ?ziXXIlII@=w>kA{&oD(oLdy2~ zSIT=a#;W7BUzB54a=;ypMZd9?BtNe54@xG31txD|FbD>rrGEAL@@Oe-y*K=#@4fu# zFOD^rea|bCEaJz%ZyyizUlxxY;DG@GAc&xI+lZt@k00~|16`uGx3k;Xj2Ez*(=Pcz zA(tI7y1h}}xH>{7ee=d^C&Qfk=gF1V-CkjQ(?LaRi|@~I8$Q@c;8jDU;RHP`t_Mwr zHKUx5r@dVNz85yFhv8dTS}q)S5P2Umm;Ly02bMKUQ%za97tFp3Y}`Zy+K1cKn~uTl zH2qb>!$Jx29>~MenT;V{oTl%`MeKKL816kpKMKZ}Yp~H58H2+dv>C?}w`AYh-s^ic zno4hcf4NWKxs^cRce^f=#UA@nI`!~y^dkhmZ0EfY^Dj^IeXlU*blnNX30*P5iTyYQ zp7!P4IR~b|LgBF6;Hc}mVisFMS9xBTK}?rICcO)c3+Iy+#%`WJKV$^0wywInDE_yv zDYG4*A^R=xd=`KA??)vLzYix0|E)nd%gbrFz}A<~$m?Kj%w~UTvaz!_Xq*2jQyoiZ z4la!6&+J9!i2?p|`gk#Ma(Z8Ud%r}F@&@|$$!}*oXVi60cW%GIdiE!2 zhKv&ctw!x*2Tp(?X4@kvD_Zv6Y_glP+V=fyvVKno`X>%gxpu66j~+5JTMOoSN7MJh zhY0`KQg*A~R8i567F2f_bgaos-|=CNZn`wT<6tF!Aa2lD%_3rn-S97F4n2c~ahE2!Q3V z$oG^^E3R{Bh_KBYQMB9yyTw^{8xS9k_z?GZC(GUp>@)Djcz`kjten@2_14Y6tg39Y ztSj47^&dB|`!*dbnl|858TD5m7}Fs>zHL;E6DXKJlUE_bP|a#Ko-Ju@O$z~@nPOSv z{plhd=U<#rKqQ4bI{+=kf!f)jY{eO)5p)r#;$o{k z?Xs^#H!7^U^v?#HUaJp|GJA3}DkCTe+RECRwUgMP>lN?iYYZvGC%#)tPSIG z-uZiRha=#}tFGty@!_aZzmm6P94D;%n`9CTs}jVK!opy&81-a$iR|ZMaTjx64i{=O zcs*GfSG}yw?jG+h;9!FvpHBSkIY_>(o$OAD6K{_)c5VS=-qC-#$0qiFWNuvZ;}N)@ zif0+*y;*h!*Jm7oQ2H9g)d|Q>)LG83j1I;Tj>h1!rgPX6Ve2@&s_cB`uGWYNC-S0V zZMp)3NoTjk)AzgEMmFa`1CZ$S%iiw--|r%8&EhdwqDa{9G_8Ngd3kdu!4)7 zU&bpfu82guO)D*sK?po7OmG6k_WT?8mgThyqh?J=W+ony|D$6Z&vDb(eM(9SB-pvH z`KAG^&Db7Iy8r<;3(O@O*c(=W^8{a7-qWEuomL%H?Fztd&)fCzX2`x>^>7{4&2R!V zzS|^z8LITVqFwcW@nyGP9n0o&<^*s61$i?A%;1N5 z9?agC=KS(ACZc$E>-LJK2CFhl3XvV*0pdX{4hhDBN`JZ$jJSkFY+$hPkiIS!W6DtG=WL}Cn~5u zlcPt<^lN%~P4`D*D{E*BWtit?Xifm^m=eXV=a~fy6;?nML&(#hJGyBMxGV5- zhcfA=&s`U~;xf0pv0;S8pflvTo72e37!6#uT0N857}j}r{OEEwSy^tOXz-X$Sx{Sk zoxU8H=O{yK%&XV1Oy=VR%XaQN)sjgRXJD4hW@G7NH7*ktw+zbPXgwRoP@@VQhCim& z@yr&8Mpw~ApKT5{j$)Xanj+$}|NLCsbhGLW;Y7uj8&1vX0{+kJ_G?nwoqoRIaDpu~ zE83O^K26)s|Hi#^6%`b^02Pr3F&O~c!p9{QHMN2Ruj1WA)CcZ;;AyG&tY(OMm1!Wn zIP{^3pAO*L=a=?OyCe-@q3n;pQdReXH& z2kkV<6{(~S6oI1zaUvmARkcbzS#tFK$@9VkZV-Nn^ZcK=>g(%&|M_Ejoq$XaNEIRh zC#vksqAicf&=71@i}ac8zNZ1-)Sq`dcaHA(~}Df$aEx`dip{9 z9cdrG<;&BJ`Q_e}_tt!WfB%u+np&|37?y%+iU?Wv&abS}vNEfirUEM7`@KS+$FsrT zv$IOt+R+sUf)6r^Dk>t1ii)kaJfj$btwjCWQa96F8xbEk0js?Q6k-IRsJNmcn(;u) zI$*SGW<-(*u)#TUPpg>wGBXQ(ABIg>E&;TSrqBa2tPlT{3 z5I)`vwiYf_xb1EytFErj<(+DK(GPmDK>}w)2#i3u1ArX)*5hqj^@^>wi}BGmGxHo* ztln^xl7@!VCA(Jo+T4nRoDM&2cccb7gwC}Ifa$XNB_wPUMZ%$C^kbK(f2L=Yl(gk#ND|yT&a)05PXLkc| zX6=1-Im^C3SNJ0jj?^h98&3ETMvnJPWVS+g^xvN!o)^D3xc0v#d9_u7{9$dr;TNEl z0Sy7?z*93y^8CEAmJUHgqKc~N?W*Ac2$lo_3$x`k`G59})o~e2zDb7xF#E3do7GX% zG~EHmK|*m(0=vfekrAoca_w;2rK8lj-@oe~e7gc(i4-b|#o%=BO%*OZh4ikEJ)Pil z*qPj&Z>y-QJ8!3`pC8sv)PT4Ji$b)_AOjEb5;AWc5a=LW4)U|@>3XT{@q9F6kjQI~ z6q05L`17OioJ*EL!Q`3*Xe*Gded#l@Mr`x*r77+(Zu+#5}+XP;Bjulf( zR#vtRn2Cz2sv`i2Q(&bRfITq-a+K?Py?~ryCS6oiL}-_DQbzhY?C+Te#BG=8IS_;Y z{7^R^`0($a*9zaYyx;kIwQ{X~WqH0oKbF4f$Jf-<*riEF=#Ycl_z-3w7C*e$av1;{ zIXc`xJn>rL6X1U5U9V9lOXP{=1fE>-ZS(hm4OH7Kusq*Q_`A(h;2=Ww7bJ@-`vLym zBOo3FdjEJo*E#MoD7UuQuzh5*?!d{aEYfmt14-VbrKMZ77wJZgR@*#};u8FFcE>Vi z?CugjN;my0`@vG{_;?oYztw}lXyfkhxz^zem_&RXCnP!7JdUER$k*@mTLya-B21c3 zuk6vjDie=wf&ZE+2eV-eBh~cmrt_tJh5zNcv9tccce%+C>TzG*-)au(3ea*E=N*|` zpL5B4Tj6Mkkx%eH(ACO0Ix+{tA_*%dAMHdvKRvj6VpWtkuhhRGZ^_GbJbx`+mhzBLBMI@S}4a0fE3fD=1$d>%JC zV2Xc1a*|(B5eHDL*02}$8LZ?~r@ueA+p8`>>+XPu4TGN<+^#gCp`mRr&kqoqt>gMf zwf#Cf6eKFTkXU_idA$dWtbXNk9S9Nn)kdP>)z=L!ht-3}Rq6wf#m{(SEZrN1w3+QZ zzHr>IvVL)w{>d5(eDmo34x>2Zur^D$+zS*Na$|zd~)-!KUYZ%2-0q%G{Zhqk+-BI+{Nz1E~Eb) z0)#%I2s|>Kd1OaL!OQXAnJ{!dI?>S3w74wW*7r269P5=sK{x#kLV!?e55VNOu6`@u zEll`@S!TAKkI>TTwj_g3LWCS3_KaDU$VQ z@8yoTSUzv{$Al)(KZhY&-iZ6EckbqS?%?Kn?qt{!os^d3E*ip2f^>j8 zC)5S3OS{&qH@5G&Au+~0&o>ofsvv_A{)#%mcS8W--hcotMq|V1}M)xuu;Vtz3RWDRT zQXpM+8=!Wst$qDuvECC3aT#!h|GpzaDu}_P*M#d1IBBDQ3@3L}Xw@MK+S$_DbLz{@ z%k!EY?F6t&9Bvnjv=Y?`QwVTD)&zJ*0&_sfEhBC=AfXeU|4K_BV#C$d)ln*=Mio?e zZ#N*YHwwd$AYaYlc~n0Kd7s$#Qn7V=e`yPu?{acQD>s^Ml*_HVbX0*$i;wrg z%}&h`{eR@md9+~xV3=+&z_2uj8*F7}`j`-Hmc-^<=|=yZH&|-FMO$isdjq|-ySwSs z>{UOeO=LW}>301hLKfJ&-nH&va~4U|?W$S5L0v8n+!=(4l7z`ZpaP{rp>>B;R2Gc&PmHSbOnsWTQJQ zK$zw(b{>!VfCc8_y*yj4TlHi&#$&DSPwi^@vcFqW=Iw^Vu+-o#iF#FXM*W=Ur#JamhXL6njAlXY=B3XfmGx=>G4BfoFo|j2e(SThhcOsdcJ%^niLSV zrza-`X;Q4P1Fqk|=?dFuGr(5o)U(dT(7((pW5A5ou+**rnJH4W?nVBHFXI^4ePw zN$$iW2ooNYTEQq+X8+7q*xJ&HXf?bMI?J))60a>Hm~72c9Sqdh9+#HD3`IDDW$A z+wVHQRTiQLgv@(OJfk(!;q#*`D1_N0AGAnrFI)}^ zv9}RTdT&eQov^$sKwS_$kKZD$HaG1x7d)32PxN<6YD0h?t!d#+64jDtOw?UrNRR;P z8<0jznwru_Mn-H?soN*UpO0)bfz|K3fPmiGCVM|v^OMkSCdIc{i5f$c6a&8AyRFrY zB746j*OR{;_qe52mfd$D>M)T$FIIO7nnE`}bO`ys3?FTQLYp5SJUC4S>Zs7o46Ma0 z?1=>rK*LbsH_)$CREz5Bl0oKGNF}v1>gD}#WYtW7{FWgNp>l4iopLf7IuHt|7>|#S zL?_1P!5X|olo>J`XC5tWvhs1Yg@eka7(iQE@j7lN98Vl3|EdrnLRP)v>h6+VLF7E@ zU#r-VOs_pMr480vt1D#Q8RCq7Yl>_Zl;T#&?kHP_TC3tE8{I;C4PA60TIFcB zxpeyiv>6U8pf$6zYUdXhxJ(963~4{aAJ#IQ4()if!*ZU;WE=f}$bF>3&NB#tTum4t7?Ky`8R#t`h&8=L(xCF_;gq z9q{-il^5qrSijqU)SUUo7Bi}3`<<%K6Sy=8S-S4hH(7=mD(LG^fQl;5abr?I%5!50 zeS8kRbo}TSWaIX!p608XifPvzu>Ye$8tRSAh`}DbalPw%Q~ZsO9KKI0ir5yqb9a9# z{rba@@Fj|rAi@w3pG}DLL5&%bY9WUQ*N$^X1De}P%UFu~Krk$@#27wA1hM3A5CpFM zAqk^^EZyjqQ5RVJ`P%)+h^;-M<2w zy%Zg(%-~{|hW6!OpSF$R(rI@N!!iu}cKD%D)RbANmUR`%r>RQ@ zv|A`u5}}y0^wZycKNp(DM%jK|Q-sAAP?to6u8cc`WsWZ49Sou<8)39Z{_pE z7<&qvVo?}0YQ9O^sBu>pe4_hflYZr{8rkiw>o{kM9Fqbaz3$;_uyV-r&KN6Ud{OKrTNrI_iG^37bqE#7ez~#fud!_ltPTOc8eK zpT2~!@vLBZ-ex_^7kZY*X%TeG&@_!;YGq>bdoOI%sv|7;re@^K z{^8V__h^0|#^7G-P@FZ32g3>ziG|4uN5x+D zI_igVQ#8HSL3df%X6+poKAHaMow>e~#hE3>{@X8)1Hz;7MmzOiY#7MCmW$cqMI>Hs z#Gv$4rhktT3*>rNSpt=&8eyuj7uKCQ#|9r~MRqQV<_1mR$sU_m>Jd$fsWzFN|J{HB zbK@8Mb5z6jT?!W1e>L8J`TNdDzhF{Lljg7q^q7(imTZ@_ii2hv-9wIT?lwuZM_#r2 zqddmJ3SB-dwWNT01f=JsqIoBC%s4^f+sfZkzs@`f@@d-b_eS>QcjAXg4PycwEYUr^ zJ#4;4XVXPkU-7bLJy?Iy$D&>(O>0%xk-t^7u(*4LXWe_dl6Cj59M!QXEY%{!LOD@_ zGn9~hiWfeLM~E}IizO)JJ)DdZxuS!z4BXS1vao)b!Wao6t(bI8?f?q=)QuqaeI|~X z@W+XBh0Zn%^FZ0rE}SUZ;g&0dPaYaPtrBeGNUBr7R-VpBOhNDJ<2pB6>xbO=ss64Sx}a_n;H^z7b^v2Q_W-Ey zUoAde@O;qjQDN8p>;Cb>6#H#{LIC6QoY3f8{vd`hb(TZB7|lLOig_WWjZrL~8M;b% z?9QiZj9~elkCEzrBVuz8KQ*u5AIe)JJm`d`BdTfcxgWS(f0|&J^AeX2M@ql$C+;`J zE}($#R%5b_PEHgQ>NZdPiZwX(;2&%6z`ygayH7pMh(cE7?e|rTs9vE1FUsQ%W&(bs zB`1S@_6DTVcOFu)-LZh_h$^0F2hf9Pc+k>$91>=VVB=cSc@-ua=jQG2VhL^NtTM_V~9AxA0*s`OBpY zyNmpvcv zXKMaCBJ<7KWM z(O*l8a-*I_Rfz0r?h47VC?a98rKAQ|1Vnq)x#dI)C#DqH+jo1`l_f(l9)0PB4=~s` zFjN-5<9)}w9m!w2kvWH*KlBfat%UaZ$bOf?u6e4vYTAs&>!xPk7;r=d1vs$dSwFV( zD1D>D81rDAw+)aiK~oqiBJA0n51oETHfVvnlmf`?mgp~Hzjt)Pxzr#jMwi*yAXs~f zB9j<{=i|^RmCr6pW>;mW8PT-ZwX??^#5O7QKI<;VYjt5j?_$zHv5eDU$mMRdNC9SgAO$cgNh6th721UJZ=OEaadx(B?-(-O3$Y2w0Quw z{|mI%>_T5TR?k;8UaMFAPXr?DSb;?ft}(%3@xC7CGKUtp);pKCON7sF7cno_ow8ti@8{Jrkvo6x(O~;NQUvr^YNU!< zT2lKyTp!iREI262F3n)i*?7^n(D3mH-|K@(e?-C)sFe(nRq>Bf^`|G9`e}$u(eYH^ z0V`_p_!CinjWZ!#l!gVBwXBeq^!GRHw|-2I7%b`EaD|0F_lFuSa{fXmC<{H3VWM%O z-wuayRIxQX+Ylv3))6CKd+xhbtFuS$S>Z$djF?N z(u*TuFIwT<^!vEuNPkk~wz zn|#>13LZew6`AF6*nVGWx)Y=wMBMp z-nVz*1sZWUwE9&M?39vtaF0)$oFhp-Pj09m1SEWWz5Z>;_E}O$rejDJhy?7E$EhKD zC^&BPM~1x>|4k+^5xZ04z^xkfHqh=nCn5h>06uN$hOlUVWHEGV6gCn*2Sb#@X16>w zyMoSNG6BV~eMAHCC@MNf1s{{wMCR0H7f^>CuxAPpsUC?a&$%RP+JRriI9<3AJ13>9 zD8h&?m445OUyP9TxFSbMKT$=2{Ozse^RTYctK@Arwxs@Jf*}X#V$12@zmrQtk3f-( zDBc{@X7>NS^47nd*XpUc<2FmGv8BnTdCkYOmYMM^>A&itJIE%B*ef`9C9@|Ju!!8Z1{6w}fYR0+pjc z*qr1+Nqw=w_7<5fRIyqBV;1bG#J#^SK7hkK`?-I|jvF5S% zGD$$B21WEpksV3`WMdpykTt5%gjO7oZ*p5>m(|U3OT3Zk$+EFghknV&D5ew~J%4vg zCQ>LlrV*pk*C$FUCl!G%ScHp2>DcBmRFeJG;-y_zno=@KO-ZCmA|V3LM$bAy-Dsmi zqW%|RQ6@QJbTN{m3(ngdRT{<}qVzuF>SpgesjPmVj7pugwemC4)(|7*W@ZwU=9J#Q#vE5p(yL4GR z()@3W1t)0U?%VS0*@c!1P8Cwm!?M71LR-A-AI7tj`Hgk7U)+%BR@a*TQ03kOWy+p)Ccvk3 zP2){9GbX~px0|_jhrdqErw>n{=^%*qqUr$t)Jvw|71C%Gvl2Ugs@@xBh*0>jU*K^Jh>s0bNa6g#1;>Vf4Obo|K4ybWO#hRWa+=csq}zo&NhxBqQ!2#(xrGRs5KG3l=H`t5l8m)Oz% znL=0+j%eML0hN=r#+_tlmXXFcrmAY@s;VgoG{n88KRCrk1(tZ38(kDAP|>{Ew^I&( z`)<~>_X#ybs;d+(IE=SLC8x zPb?^+bDAYwT(yDl72eCn!BGervKzC4f`Z1_d|IVjV5%CgQ;udu=vOW3nQb{+pgN)! zdE2H6NMZCa&s8<@sys?p^G75$8e?UwEn5mGS6Wh#+4lu)HL-xb0-d9*j4CP!R1!{Z zHXS$@pDZ%NiY-AXWWy`!=*R_>u=?0FWpXi?NxL1@y)d1DZAHE(Dt`|9ZyoR71rg;l z@5?!HhFdG3;-Dq$OVrb&#fu~Bm(OSEo;YEF8}`K?GerFR1NoYA4VWZ!bqV?N z;tLYVfU@Gyq+^l!R#cHmHc5ph1ujv$BXxm6J4mA;xv)_J3cbKN(ceu6d01d=o7kOY zV9_DlJS%A{4fodK;449NKhOm;q=}`NpF~!%vH>CtmtvzVSJ@u$Xagm&o0$L-O5MP(f zNb&UXRynm`&tI-rRwg2=y+=c+iSubB?E zt2S)K*-(qy15sV~dX<$ee7+&)?lW4AF$DrtFB528`&wU**|{eF^8Do3x&pd=j;|k% zZ(ytou=LPlCezlgf7sci^*;G&a zgdlHXZkA_Y-)1f-1-Wv6aGKBW{`x3-W`FDwO9`Xs==oYB251RDzmxa%g`7M9qP9tk zL~V0WVE2=v5;a?ItnI;G9F$xwYULjkjOfQcsQK&y&r>6#P}(5`;)vAB1Q)x$cSQ<_ z9M8W6=@7}ruaXzuP7M--Mn#q5&TGMo-k{Rn&goK;VI`cyMAbGzvOT2&wgJ6!;Os2us}C5H8pkj=Ghk+3QJpCQ*hP=A_r+` zL=0|rZ#%8KaI*?gt>9%Kf7$<%%%8TkJmjm}4gto{E#g9RAX>SSMKzY>49j!-zg4aN6*cSam@GQD@G&w zOrfiwd^>#OMIMj_P4-3-br6Pp(+=J7EfyS|Qb1H#l94`KCahhWm| zWE|fzq(y7cg}FaTz?R=qM;(h*6KZIot00KhPTHVESs8j7Yf!^{(i0rcOk%#!?rwnF z^_S~f4#-6bhE|@eSHnmX4dh4tv`wm5N3?`L5X1SMQ8Nh5bpru~{9jpN!znSjzWqji z*eI0@Om#MFnQ}kPYRqxPpdHm<5>4Op$s=|ck4U67i545NG;71 z4CvtGzIcRmKZBNiF1tsC9;6rPPI(5A*sZVjZyFi%Y9jUDbI4j*Sy3@C6o3Ezu5vDV zVz;oqK1G2lq}UPz3o9`%FR#=``o$1pbdAflnz+e!gbOp*m(2;O^xJ!~)6f(m-T-AQ zZK%Z6&*MiMID62{n&!wBCVLvK=aSyB8&T_h-;1yHK}AjzcCC)ygl#_Mu9Fe%O*O{D z3j?u#>~agVl7d4IKt2YCmCnzd&d<+Tkhlelg{N!imhCu*;@<)*0$T!Nqdk^Yn{&Ao zi;1BIHCtMIGWwu!A%AlsteW9u4~?1u+Q6R;ig+KyOhNg8%&tx9j|mP&1;&P7pk&B6 zU!m}4H&O3ZZcLp|p@-f^k=Va*h7lIla|Lc(Z#dplUtbDcVEsL}2*IcCsU~qGYjRva zyFbOfOP9Ry7Z<+VP>(wE&c?YaN5oSNvdqlTQv`J$L|m2-uuzqi!TcPSK378q$xZQl z+$jCm-7;;Z@P%uQKlR!(HRuLFUwvt1B_$ADK-;&1f&xUJIC9%`Yh}Hw;Yktlp3ddx zn64=zXqP;fcN;!tbtIn3!Ky63QbR}wWDy>;?FfMcmOrm@&b)RgHF`0ZVQ@D5h0N;f zH}tl1f7-jT@m@uhxbp99Eu>xe2mFJ9q27OAAyT_sl$#o1U=) zpaRV?z8p4&WX1}P zf0-^6&}mW&Uc+mBPseg4EM6D1zrIjgm9>CDhQ%Nhv=k+MK;rq*flphlrXnmvn`*l$ zl{}^Kh{Xs~`Ayym5oQ$~`i@ot%Xf5Zuht?ptY~RID$t1Ak%#woBSoVlbIjT-lOl`V zwxF~$612EN8F*<+#`)my{z$5R58q(6n(zH<>|2&)o0iGOg8pq-jTL}F1Wg`@0aav0dKMy^ zNMVDh!h3tRQG)uG=+P7TF_SpFK!JrUYzB8=bEtQhzFYryd_hQfY+j!O7smOrs6{DD zn13gVsyNT>bq>w}ekW;0Bb>cuQ04Q26#9GYj~JYz!|p1Zu2h$bZ>wIOsUdyP6T8Np zPuGQQZP^~Ya-yOz0Q`D-gfDA_+a6juqtFJ^c8&Tk@Qm$C|9&roU#PQu4`4duEV$$O z-r9$s7Wg3~^*$OP&81I>lDt=9Si`?5vrD4CxcJYvg(FFx?o|Z&W>YE41%mqKOq+?Zh?{ zydCojo`PD%=Xax@G;Mvdk}PiT30|^JM5{THxFsVJ*Td7ib^~LbBkoZKM9@7J!PA8;<)Aiw1pBsF|o6VizddOCGwaR5l`U1YXNpvu9Z7;cXj(%*kH`Lkct9Z01 z+HqKI{t+Y2D^|o85^)F+3!_RRA;*EvAW<$-DsBFk&E1<@@~QHw)&HmD}i78^XHzY9_dq}Od;Bjb=TI}E%hTQFJJo~RV9yMM`%(O)_|*q+y5xbY&_!2 zOBkHMdig>8V~yJ6jYSX~g@<4IX&yFKZp_ONIqC6@1%qo-$-bk7CFYb~ccYX@rj%hz z-zV&&9qh*BrotQpWIn%qf-|SV!5E)Z6lAXEW0Ud4W!oh)u)FSm&2YnnP_vmI$>NMh zwpp&c2nQXj=nzB|$4CB+W{a%YrM-5q<61z7ID`%N(l6;2GBOhR_jzmmHN0wr^T*eE zA~H#D(%44@Un^Mlqay`lzywCcib0Ezr@yP~6GZ!1Y=&r7{3H85%3w0RCuXN==gpEm zGE)O?UE13aN0HLQ1RJg%4t}#~zMo&UlL-sU!4vC$e z9grNQq+k*ZepR6Q>q#^iPdr#dr=`Ct_CQ2fGP`-}>+p9JmZSZ%;gYm#57QWz!VWyQ zeq6$ZDOblD)4ISeHU;z~0>MORgaoy-`4Bi;{oQw}GxNWD0sdGWuC_nm5~nj>!q2-u zY~@M~>pmr;0X3$tirQBmahjjLMqT{FP+_ zg$W>qM{|BCXrKH6BxX$eW#)%%qxb&DdHPDskd!-QRz7~t^K_Ty8uS{ z8?;7l(SsxY)hGS0r!_c@E8F_Weo^hx0>9X|F^4vw&~S8ahjxR~vK2^@2Fej1ivlV4goura}9@QWKTd=Yr7H?eUVud-ZoW+pjjf zR8wq>=*?211@*UHEFNfeG%aY!O9@V4k*7jYqw2^6s6;d{FM>S~-9>vNG@chklJ98K$06{y8od!0aaQ8p zWGNZ00v%SB%X@8lW{bGHFRz>4EwTk{+aQoIQ89;x1@;XX!DEJ=rF09zLLWwKdw!{cNg*4Mnc@fv)biC+HAvR2kbUsG2 zMo~AowA7JDzFy1J&@iyR{!?mdsuTb3lh$SLC7~FtppK@1mE~VdSUzV0VmkM=9~eB7 zoWu-iWoO!`xSGXsiFc!%W8q%7I+@S{^twD6u+Q0K_uX1uxO05I-Hhk(e~9k#1cRRQq+fVKfG{nUk(3i# zAm5OaL{5rpsq^Q_HRfB0ICeNLyoN|q_6|67w3n{&n{(Xu)}=YyKbAzOUl0miGJ%We zZ=sF4ouH~pTU})8Vo1y+ljZ&cSMzRf$PA@~_vh@QoNs6M8eV9@A#72Ooz*F;@qR(x zam&5a|IpRR8H0nOE%Ek*KND(EX-QbUxm{%u(=od&SjuQNjNJ%@UeU_;IEhCcO;$lt z{1%4C6`@j~CPq%5)RSN>8O5hk8S<~P3XLL7ibcH^ z^oT@O^u)*pZPO@`lPIA(cb&=4GBI#P;wA6-_<}aWc^7Bmov@~gtoW>Y+qa~cD!wvb zcqeu*8;#qpQN2m?Yf{=az<(0p(^uT{AtPF|-;LpnqlAQt@mCa&yP<)xkGmqZD1$^I z<@RJ}Vm{wyjP$3)uEb?Ne)u^RQO6@vDVy;7AUTO>ZhYZ40#;}bTd44>rG{!c+KFGI zeYt*}@h1FlV2ZmS8AS4KL*sZ-Pj6cmLYKDy}_mdg|TnfE6nQ6Vy@cNIW( z_D~YNWe`SCh(@+jFkQNWuf=ZCNI?~t3=t(0``w3pXn>$MF_`Hdc@Lwd&qOW% zV@NHddBpBfG_sm9zirf%4gQPLPPVa~U7S|=z{m*vkz1BjX0rm3%(B{}ZM1^bUPl7NUJb^$eX5wb*D=~}vruSn358t6r7TCA zcWK@~U*z04C3rkqdldpvYMJ&?!_*@dNw2F+)1Ak zTW@lwrYzTS(P0BjWv1HgVDXmnuVg+7k>_^;%xFr&nE_@bGZ+aJhdH!n8%rw%R#q~YKRUBE2 zNhBW*MlGZwL+sVLEDgnG%F+?bzvdjal_2@@+HB>=R3bFDC?dQ_(|4RYuD+6NV&j4K zC~Hqz3e%mYY_bbM_=9Pb7;Ak7Sq25Y;DX>pye7-EKu+1vBXY97C^M!w{gHxu*MC>s zmW83Ki@^$Sg3g|?M^PDZ&KUKdS)!w(lcheAl}BUACjDa;{`U^Uq%o>OO~F{w3K{qK z2`|(rfhu!zZ~Z;_`jx~i<$EeTk}v2%OkGvBCgPvRE+z44dWfT$*G1jeZR{tH;^wT` zEy+Km$8Dm%c~!0!y}tT?5%rZ(adpA6Kp=R6ySoQ>cXxMpC%C)2ySoJs?(UG_?gV#d z?)mO|cfB9{0%pz3*}c2Fs=E3u!oiozg9Zj&Rf>irDRJbcw|al84e_tMqH6zm{U5F8 z-ZV%1e*peH%`?gSTF7lx!2Fh!kpA8=Ss4G9^ApOYiy`D-*x{nMyF#M+??g3iW-?W_ z@T0D1;a#9d&JW-wjEscx0zwNB2(9-0&T0QL^|<+-I~zx9Ul28}B)aD4O z$%zM1-8`0hkIF}_cI3?Ps_^U%D<(`9@pteng=LGUJD&RbB@-bL#tjihSe`r@?DMSI ze=_A5r=Jy)$Y6*W5rVaA!}dAvzw0y;%*~ZUvT&5p(dX^WIBd@d_`m8u=G!9;A@lPG zWz;0vywbqDVQfmUp`hhl(qW*}85^UNC8A|gnhPT1Rx`;}h5TG7K1rcgvkR(=3ynul zW5OX=ugAxH50VQK=jkUSA0Z_lW=9K2@W@N&v4o2YUi^W|L;6Q^)DXVmc>ah=%o;70 zMyKA&L=C^{?=(zdqd*jl6D)SpSjM+-B3G$kW;GL9eJtgS*a%^%WdXS?7zSSv;RljP zqz(NFaHIn2MFF8C{T3OWGtL^`uufGG=e$gQZ7uWpn)r>4qAOhWBGay4XzRLSfYK6Z`jf-QNjPtt%zzurz>ihL|Iz86a~0F<}F3>Mya9({sD@jv!fv*m5nBh z`l*HUH-6ye|5$F?L$N;x5jOm4M1fuNkK zA(LMQD@+`v6YG?f8rE4445u-MM78E;78M@KsfcPJ3q3z)AwUG;P+)+|%8K%y>QB0bi20Ij91J#n!v(dL&SBj1Iu>%A#kOSG5~f(3;roNPo} zgvu9`;*4j@=L%i zVX~$vl+X&#xXY}RYt@nAX}%1Ki0|7Gi3Rz4;3!@zTm^}aE^1I+;u(!wE%h)@KBhmO z;xBog_%5CtBK=LI^Bpw2{}#Io3uQ4Q@fS_m;IQW@&EsPfGOO-LOAcF#;9IzbEWu>e z)~p&@*3OHGabTWdkV`l$=w+)%BaCui;7#5?+Qi@k^JZ~sV4r_!078pE)z!wUV zO3l(Yc^#mR<5wQZP|y=0y;xGt4U{GEJkXY;xA1qeelCYtpQ7ef?kt#z7rY9xEtn_Y>Vk2_h?qI^o6BKje0etA-sTGhh51lg) z56yr+35YSyIH@GaQ71>ebVdXxJm~GGz#G50vxi$dLdbsXVx>?d&Nz`IGLwFiio1!C zd}S#&Vksu-FF`3GDH*wYhb1EkfxI)a9^gcy_5>|~g*diZYqB|il(Y>ixU(3qo47jt@3d7eIL{yw71 zKGji3LgQ)Jm#*p+6S*l$p4mFp8_n5YKeQW&oK3L^cwxUCD1gC9p(I-Jm0T|Jp0Z?d zPp_@v2*X&vsjuMopqFyU0W4#B9+6far5qh^wa9%|ybAXt^WF@?L@UNp_0=H5l=HzD za@ZhoxqNPsa;0LeIupW|WmoKP;XqYUL^a^|{I%+wlrDDw&sJOxFJ*`Xg8+v@xN4=J zLLTq^Ym2pPO-{*Mse_VUdt9GEUxvJr8e(VOobQm3i}3<0#WylxZjx& zQXD}*r@$x&VK*ikR1q5Mmvao3`v-nx#9(bVg?fimIF=6>pla6 zZLJ#;7eBLL8tq#3Jg47GGC$TIv&wQCrkR%&k9@ub1?)BsSbQpE9~Hu+vlBjkqWXRk zT!W#bB;Pv2rowTvq-2N}1_X=uQ>)aTAlX1_hf@V6F84R!2^*B!Vk8CzNr$L3U_Z*@ zkumWzhoZ1SLM-C&Wc^edjaBJ*`gyII{c48%=GQvxIA7vFC(7ov!V`uNgk;Coe}(Nq z>#FS9H>JjxrqRKQk*CxdA1aZj12gAd**{1Kr+4?jghNmG>RB%y?zFE=4 zcFW;IB_-+&$({)2*I9^5W%9^k;gxm$d&aRN-B8+ogtXE~iBVcK^M1bqw11wy>UCL$ zRA$cAF6u2hTF1jGYdO(I3eNAW64V_pGI8$;p!!fU{nx6kSO(5$%j+(eYS%Ubqw(du zb2Gz0NJihCnm+0(+*YRWawgrI{GJQ!U}E6&u}O&IW3YTcd-*tF+xKf)96!y9D8Lik!@HLxfY`l(U9Gxu6G z)dq7rI4V*O9V$10mYt!Lz_+|Ioz_>9Ug3!`%@92 z_7KS}wpSRYE_J=kI#4&E;co>0kpAuW^EPXPG)`st&76OJp=W-md4IH@)~_=)DT3zT zOzYHgiyIi<_f47s%O+8K=BUpNV`cDcAY%r@f;=xdm*0sJ){f}OYLxGTpm*Rqk;r146>WI66Gdu^c*YUG3E%BhFsb{&?>b)s*#%7&YHfo<1o1kira)C3~o>iYEKVqSmWzq_8Io ze7cAQlktTpE{7c|4S_kgTNI z?$Qt4=ep^$7K#M1>>9bBAzqwlZ~$PUoBSVsgn&wCFyZtWMW3JxQ(~s5NX3{|<&#7@5%Egib3YQ4E$u%5_fhidk&uq(kx5$Ca#Wz479SI0+X?l*qr+Xr={b7+B>5 z6cv>0h@7vaA7nlH9C**Y2TVV@>gg^Ix7sZbl{Vq2)OrocOR^$Z);Hg&(-1?33I`fDaAE{6q~Pn=FJFa%dh;Bl|QgMaIsH5zy9jdXRkH z?TaVpK5Yz)Zi9q4y{;Q5G5;~Pp+}`UIoDSyZ?&gR*7alxnV~vtgSVcm&|zRlA{${b zbK~#A2_?m_=rI>k;yNobq~D!YY5MDrI55wov=Eu?DXHI&IU{L&hurwIhic=ICy!a< zr;P8!x}z_mGRw-f-IK061QAp8Ss;4Tkj1K1b&_lJ(2RI?53c2+FI}o=cA&D#AXV^j zkA{sk3r2D?h!BzCbBmfo+reevBai5Xm7@<(5#6Jr$QOe(Iq*x~;ffU%vkicekf=%! z%Za2&I^UkrU|wMH{Qka?ghat-T7^W?P{~rg67dsmnqHYxwZ9~Wjj*8kU&_MtoQCHx zw2!$vSAfe>Ywc{Vxw-jQxkYDpPxT?VAR>@E-slT|S3^WfEr=1}&WKbhsSnTgb^aSP zXiHd1?Wq3iY|ET>HcSh$6l+Ot9WoDbI!HC92dUuf&ep$D{%$Mf?-w~`^8PtFIPt&{ zrg%=QLKgm6<{eSe^=^3YSA zGGg0e_WNJRm;3~PM>g|A7P0`7Xpa-<@aOE?0OOkf{9&M9GxtK3!6&_5aAU<80(j@W z`9BXnRG*sQbsq8aE?=I$L-qP<9~RWl$&3n(BqUK>Z>d~!JmHmnmVQsvzx%r4f?fcD zk`%&u9nmS5azt{EGo%h4=DRQtrcvezm{O)GD{?p3k&vjCWo9PX;fIPoI-C@bQj-hoxXi9kjWN2+pDam zvc#)+Cs*eqlkQ0I(wSc*iDGSdmwSF>W|l@)Heb97B(^TYqs%MoyjDMTGV2ER!@s_tbIns36fuz$a9 zO@1a0KWCrF@cd^wi9{awIl?oCyDsS)J0Hwavh9IQ1&c(A5-5rO+D#lLt3)5X^ugZg zr(Othgmv+f4N_9sll*mS7}7p0FxZ$|W+m^#Y@CkoP-b=X=t)$6Z`Pl!b>*K%e*M9p z^r=gn&B*c}3&8=f5UW=&n@0jxCQ$Y-Nd8V|qXkX(D-fw|g5%)DoEZK|U`qKGlUwks zKgUx;vcgVs%*pYQN0s=ynQg9c6#N!$Bhv(D0@*)3rnG&Tdzu?uxjHe1on+C(Uc6-a zQWrsr#hi4CeFd{5;G|?sUjBLQhB(38u*gAZj8v+|vT73bRPS>Rnp5YESh3d z(ocTyS`jB<^~LYZPRQP0pO-+X^Z;65^mWmY*9tCOng1f#X~E*<_O zTx$2N94_osjS-|Yms~-dpG3B#5pxZb%N}_NqTEDbZkCdoqbfE@Dj~)&o3ItukS$^@ zImgW0(jc>}?mEyAY2CcPHyX#b2ytrNMI}aEWNx6}SHKla3-luzEt$GGC`vz!c6+V(r&Bi2@@dy%C`-3?Q5Sj*2qu4y~TZd;s~KnnF;Xu#od(_W9wplTTfea__Z&Dqd#A%)#Nl6zO3? zzPGwD%j{yi?zeC(8hP;8b0EVP8vn!^q}N5fpdH3u#&iAF^x6dTUu(eB*`=t|3MY@_o57450ARWazt!g@Ji8N}K)(9|S?3F0Ml=ERFP!W8~5 z>D)A8!#?oFpPt@uuGQ+a?Y;4PKb{u?wo7N+q|I79YOMyfb#=FZ#SQWrlZI}Uie3)^ zv2qu@L+R%N_=UvTOU2&lsTCSI+1k%2A{ZrsmoFt*qLwJw@TLXv zm0)Im!pVsiHZf%eG4(^vBBFk}5M1Z~_(Z%FxeD7|%Y@ghD%Qb3hNH{<8usgqW~DLM z#(m0(1VPK^#E*6TfK3JGf^0fk8+VgJi`cw)uGmVu$9A=2HVPBBUTf8Tg>!;$^2||M z2Jt%FQR6?m#Y$ckVSY)V>)(JL!%>Of}?xfa!N$+>LtP3b z7T~A>6c^~_<}HUR*o(HWoUVOwm~b%Ik--^6RAto(l&EKEJwnxz)|hE&DN@R%w8@jm zhKobbwgznn2l&;Bl`9Vhc1J$wXhY2CZ#wFZL+fmN*Rb5WZyr$F=2%AmA7^q5n>VFS zR|?qBE?T$DvBm;OE?g*ta0D;yQM=#PUBCMTMDG8xI&bb9tY#GcYT2;z%|+Q$)URz*)IDB6|i`r~UcmDAnx{ivfiQ1d1+hiZO28LI%kcyKMG6XG(MB=D9EY5IE_NzVQvn#4J zld^m2*AG920yDnrsG^+?hP>lgsnOTkRof%JNvR|NK~h5d&l)p1tKSfCH{|UDBu!fo z=346fm2zsMGo_>walg8{WGhvT?Pu{CoN?)U!p=IL0~OYCNu^NabGgM@v;k;AnF=jI z**KG(k`3HCDkjwl9xEUzPHgN5?erb4c(QlubP;wh%G*ic+S;@R0>WiPVzV*qn9n?R zw#sGI4**d@g^3-a*Cl_lqZ9+O7lEEcNHd{q+$K!sq&(!CSfj-sXgOzTu~IO5kf=ET z4UN6ubs%5`=YM^*^BB+9-$`w#VaQ5^V|&0t@jj=Zw9y!B(CL(DoP>`c197rDA7zyOju&&VX;TaoW?f9 zlI9!57wC%$P!`PqVC8ggfke#MSb1%}+-*0&)GF;rqHgaw5NFW{TTxMlKzx`2J1Yf) z_wmCv`l4QT{^7>;HLPuAoVcE}0);yzF(GpZnu>TzIyQWGnsYVkmwZnGa!MoH3&JDgubV~!;* z|E&p5MjdJrk07eZkkVDKK>EvV2%(g;bivP;wT<3mwMoK$*>Xu(r8zC-s{&pd;|cEN zyjKx(?;k=*%&O{h3&LA|sl?=kC|7&xFFajApho^rJ~1(gVZ8d{8)e4rH*khz2O&v( z{OpvB5HNK3Y;Jx#UDw!kb`Ucnh$^cLs6LT|3ufsS_-{{EJx;n_OZw?#u$1yShOVw`22a8L zU|1TZ(81sUN9y@(WNz~V4G!=$Z(1!`zW@l!ySuxW`xaI?sRgq9IW;;AEj_*ee3|k1 zyi!gdU>${!6gSv|5A{N?;fN3wRWb~qAO~1>%j)}8!~F>F-#8M}UM4sQ$}^A(0BM>RQ1*KE`6oec{Q~1n9ZL&Z z*6OYA%bVPt?j2pCtrsOfEG7T#6d$CC>B=lIHu9bk>+wFsfYnA~_D*5Lh9Z0r_b2v( zdzH<~BoIOnK~}Xe5i$todoqrQI#P*hIc?YJmn8r9Oy**9>D7&pG)}q=qE+v4b+2lc zjavt0Zg&MEEAl_91Xe5J1xUNag+#v`Gf1pFx}J~4eeP!EQDM_15fnGM;c&RgS!L;H zsN&0Vp7F*MMPlJj$TF-0Srf^=pfaJWY}MSF5dO_v>v@Rr?S8c$Crz)qSHMt2jFg2u zyg*jL49|HklFRA4)?PI8)01!O0bL9^xPJ#>baIhvJP$EXUR4>59MfHH zkt~WNh^X(5_r1?#SA2(7Wo46^_eX!Z2%~p`P%~W5_&XZ_mnuiuCmz;oARj^wA|y@( zusyLFJlo}l%HXwb8ya6C04P5&=1{84HTbut%6e-gEiw@|+}!s4GTs0acX@NU5kAaC9o=X47L!6Tr*Bb%GdD^QGwg&U!IsbK9Kx( z7A7~xczuj9PCV&#$C#BhX11iPa)UtY$>)_fs`O&!7QGxeb$;vY>nu7XDKPDGhn}){ zL3Kj*j5jARQhVfp!tm{d>4xLa2Q7GHm>k>Y1EdV4;ym>PeT*ilk!~%TaKeNK9T-zu zo-r?b`7#O%jsYY&l_lBpP|Rp?{i?eQ=$>#9VFdMeS$X-5Z$4+-%|3E|vtJOdCnn3S zaoXSTb~O-vO48`SB|b3vWj0diTqQceImJ0CF%c3OBN``Oyzv3x)Yyedb!WgkT!MvGRnU3bI@uO!7HMEc2#4+9euppu82V)i+wrl!D5j??!!0U!}g?71i3 zzb(cQ@Lc})&-(MrSnu_s<~YsK1b@wle#t2~1IfHlq-N|DG4C2h6v~B(nWX);BBU9)RaX-3))BJ@+Ug*uUnICh`B+Zs7+z8O5G65O}-dzD3n`?MXfjf>$ z2a8Wvfx+~xo9F`U_f_K|CWj#?s89|E^@zdIC0B|$+n>i^7Qe|Gi-ag1O$Bfe2gjnn zYIQ#B59d+xXgG9o?ar06?SWa_egQA5Gs?iYm)*URboy76=o)hx*hUBchkHt;_Aqb2ZvPJtMX0$Zr+*@PFw{z!DE^K)(J}DfA zc)Ps!oY9Hfii>Bk;sp~H0%teYPLx^*CHAkF^Qn33S(ksmM!NHt+n+6bT6MLBW9_ok z;n5=ZIW^OOabQuUAxl>7N$e6TID3)9q3vbIY@E_u($?^L20S-#lpYVMp$1L7Z+DrKboPp?zk9xG3z&< zxo7Wg4F@wbGcDM<_jQ54Bu(kMa2(QDo0Hq6+qLMLYj-jG2;E<=_#XU?)9m-L%=Kz7 zn1kd2;%>d)Q_ZY*U5HEZNs|*!u$fl73>B((WAupln-zr*UTXfne0yqoSZ^Q&y|OVG zlX6MUg8jbN69;m{gP(IM^&?43fFTwmelHfRWk#Qh9Vu+dpP1?Uy?xozH^q`DB)CX~ z$WVBg5Y=S?S~HX4&EK^Qg~bGWGA$t71t+s+?OKvjpglzjBaRjSvdG%*{+RpHu;0O; zZ7|3vAK#Sf12uc+>>dfs(8dLybpY%w5+qibP*z#!7CTA+tnR9 zeem*hOGruTH%x%%%R4Tll9o4YG6TvF04)IACZBu(7P`recXsk^iYHh8vKeSq0L3GK zjBRy=_2@~Q%`}|qIEdq_3d)`6KeP?GVP?kAdT#ECOf|FbzWCB@_eYZPc|wpzG8V&y z3;d2WF#<={v2>F@9T|i{OabO>XQ|gNFyi(L!qtjYR3zDi8R$?v<%;5azxv>RCI4*^ z2L$Y|Qwzc}uSF7~*xV*mEHH*6*mQUP$m(Ah^E3AxuCx(>~bM| zhD64;?pYuCbvJX{5Az~a8fCwq*)T|D0A+vEhZ(of4vT<5JchbvyMWj~CYJQC&&3hz zTXx8gZ0~BJmwK-1{OOL<^>621c3@*HkGrGcW)}YYoHI`^R8ccyZ4+_dCmXR4_4Xu8 zI-dSUWPg(`VstN+Kq$NaIO{i*UG=n2MD?)Kp=Pw-WW`N_5^tIF7st= zkI$wmql6IyTU11p&;T7>+}&okaSO?~Gm#_8^OW?|1^!9dDQ7;#AgW%)26#{i#6cjxFVkIPdD~#0Ix;#0GMboH2lMF(SBdh+>@QJPcW63S{>Ex(RPP z_VhF(mO^3G+b8}A#{2UbMSZ1Qhp-(KHZ1ZgK?Uutw4^h*qyg46k1nbtTBvCF$6z>- z#Zi26*$eIwJ6;k+*tTgX-Tafy`%NGce};tyfA{vW-gvz71`?UPh%!!5k|TK{A_N8< zUrM&%{>Awr{q|HBAYO=IZrO`~w_`NKDhE)+$`f6&)c^oyr?naqH407Gwhnm4mH-IR z0kg{>p4baa~-EZmmx|4b$B-p@uZ-R>{Il>+CE+$!$Nu2038} zVt`@uccq3Nx$#~gM|JyJ3Z(|O`Nb`NoO~x8?EXnWw}XZ7s+j+`VkUq6&M2#l zj-LL%Zt8~r6QMdYzPH!?N*`D{0T^Pt5&Y|5ve}7j?EZY81?2$d_=m8tH-LTQ%f~jz zm!bQ9!R6JLGGnI`=$KzFcVS;<@wY>^eJ@x%TE4Bj4ayjds?~dw3fU2?vp&0bvf@3Q zFBMW|<)Mio1G+T^Z4X<=03b`e5xdCPqWR?ITS9AelkZI!#A&u`?CSU%BgLV#b~ng1 z^2(tMte|gF4wnJ6bXD9YT&idA@6tjg606*^< z-r{cz&2clb=1=O;HxP$|_Ji6eqx8RwuJvDIOj+^QdNxbdr(S+#_R*yjPode86-SbK zwa53(C2!-#=Q`DG%7IXU>ykR8F(iG2tkT0;MP?^fEN_Iw^6Q2_t*S*KGq4cM|2@1M z-JcmN%t?IadqVuuOh~vbn&%PTxOl#K+I-CuA3W9!1J3Flz}t#MH*KVz`A+Kc~%I zHXJVBxTt3-Y5Ltd_V1mnE_YldVsdXsBY=pIcf2-tLRrP3*6n#U^HT`kt6#=7J@fs#31; zn%GItIIYJ-z*^A&TLl)&loLMPg36PML!?d$A(*5?u9zba1iKUTxhW?Rq6#eXXkj1l z;Y^8Hn2VgeyqRSo^@j<2tq0o9XNwDWY$IhgbpMx9%|p1rfX_rQWE$0#fi*siP_T|s z$PZMUQu?H5f9A5ThYb+c#!APpo2#bb|Mm|2_XDiWp-z?VdTdbu1=|3aW!F>p)giD# z?@bHT<`44Q0+wVfTC)BI7T~;;8oZVsH|wIxI`SI=MDU#lF9_T3++laH_xAor&Q{Rx zSBihjJz4NSIui67;@&__Pe;3H8y3FD=3 zz!8!Ij3~aCN(KamNR17IjEXR8!SLS6LXa65o`bPde8GxIUrD1QU2jZVT6l9?Zn|oj zB`n|0pGnn`Y12_}`?+;&)$+QfqSmV||5s;w+notP+H0czeAyAv4s(TttDX4Cv%P-u zAnjKgZEBRU059gXCztf1;Z0qL`^VBVdFLXwB1jdR^h-m%(%h3^k&>pQQ_hWF*SuQTGyNPYzQklOtQVX*1Nn(nL8j%}Z?TQ1R%Ewtm#>u;a-C1zq(?TOE#p6bIG^hx z{>j0Dw&S^N`E3&_#Wz6J$S!SUXzD64wDkjCe^c!PbbKHEfI=D`9v+YcyngUsy&RMG zWRuVMa_yn|bC?x$$C(|w=GgO!b@m2c{^a`Wks*(gY!WA2EEt9&K{%!C^=EJ%7Y+XG zK$@Wh{Tpl z%6^ii2UwKe$&rMas_Vqe97sWYky9Yv9<9fV+>Jskaql|_6URi}E z+Lt0vYKn*}pJN^__sb12|ED_l?r6g2KtiJQ$(v+>mt>#U#r&gM2j4Sv+~ejl*OujG zkmpT@CFrgfgzvHQWZ<*w>ps}#1MPj)5iQ`eh?3gw*)`>XQkDPj;K#-Y`z-VUzcNb{ckjavzrQuaW(y)Sg|7N2n;-+38#GUKy+PM2->9M8v{ z-{PS*-ekb@KcKPYKSLu`!+rmY*tZ7tdV8n`3$v?v?$2&`! zK3N$l_>wm^ba7yscQ174j6Hj2Nyo9uyIHWxqcBU5Kx~xCp<$!O>At=uGTd)1NM6&N_*0;K+z(|eRC=)6y{8X zVPmCkK}j7Zl3b!WMI&0 zj5=k_WM{)d0E!J7E8^_ws(s=S?*T)Uk@x^UW|5?6^KtVg)@(WSLuy$(tYD*oBx;Q4 zfBiH>8Irvrd0FG8DXT76VE_Vk`_g3$2dhZAlX&bY-AZ=92~4B5t#76(lF${g;^SsV z<;cX8gwB&IbwN;s8dU_K=q&>o4z32JHIWsCli2 z6D+=x&Ln^R`s}H^JnFwAe(T*fcbwg+Jisca5I-G#sx*0rc$)>LCV|Mt=_+u6rJy^U>-S*yvipBnY%D&={x^Y8qX~S{* zq~ALhNG=1;=Y(e>&c6wNi}=#cn=ks6E}6WK!F=|hWXhDPk5(-V>gsKu*n;0=r;RO5 zpD@{A%UAC(U0MH0AbjJ|g!n>*Tb^q;8`uBH4m1GWvlVZlT`#MZ_8-l*exY2yoY_t~ z+v#Vs5nOUg*B&))@u?QBL+h<|(Un~1k~3|e+vF2C`f>qpGoD}+DSSR(K8cZ?^N}+s z+a7^kpR`ZJ&8_{<2+B;Je{NIpO@D6zRjgTJx3h(&ofLXO%N{qFDkwIa(sB%jac|3P67Dj0R-R85Z1 zC<4Bx>Q4Qa&Z}mIPW^GMmoF(hw^=2GThWJ{_mNVfwF1pqyvhI}x%tC)#2 z3E#?^K@x~!fa5uK;LHU@RRnf$=Q;EAiTm+e!7W9N2s$Rat>2K5y`0u`#U7s+ zKaS9n+1#@|J;DV@Flf?(^z-a85I`D+Bueb%n_U-6b;XnLBu4!DW!TZ{63fEELXBnZ z>;Vl|tPjWNZS3a4tutlPj9jeIPA5oW+*@F*%3lD3fd?;;(a3Q5M5|oOa$BNk7~!Ic5$vkrt+F#dk?Htmk6f~! zj(wi-TELehtr$5!x4-I}*7IliuczkGaXUmFp{rb_)?GO9U zdj$~Mva9DwVYtWk+m?H%IA^Vu9xmI3e@_p?8mQ}dGr{jB6f;Kvrfo~+vTU7LgQC|W z*3$0>yjHUN5yaX>Kf^YAViA0>1clu}yKlSs^!8L1FGmNs_x9rhKiMoj%NLgLdfBS8 zX8j%%hY?_as(i8k$rp&hj=H;7LYk&ySBmnymHr7F-j_rX-j7v`$!^@=weRfwT^}m@ zA=+O>Q>dBL%$vj}igONxSeY}huuQco4MtzX5kLQt`pa$1Fze(VK3-*+eFjJr zDk?58NVT0kc+uSIA0$khCyN&g;f(@QiOwv?ocG_dA3bx|=DGHSFu0k9g)`l{73A{+ zH7PYh>vP}e4nd9SI#>LVlOlgz^eas~ORd*hpwQj_PYVFj)nkJSsN3}_rJ9@VCPw)B z#kvK@36P(v15;QXCvy9Twkrg-V($~DAwQZaol7a=W3zjaR_plQIC#&@av-E2d#`h^ z0}TScwDmVgj7I9Gk3V|$pdg7ZyRxAY5hY}R$waB5iJ3NOk^e|4lh#CStSPesB7p6U z9h+9aR{byN3k{SE7%I4N5}DHXasB#oUWcJ%$qbP+v&ui;1Ow3^P$G$&-h1ibE1-?| z^UHM^058i}aS(0Q_gWmB36);wVrOd_dPJ}iVkY!p+(T;h%25_javrc|rd0DJr5 z1Jwa}l(_*{Jq!#C;EwpmIsS?p8@5(&-c)JsAzhkejQilVe>VE$%jSli{L9Q|yBsLu zMiM=afMj#XLAH(#8^~CF&_p7Wj7?!A5}7i`h~U*t0Kh`B;-oP0i?z!yrtj{IECdb& zAE;?X-VqB4^``#0h3%mxbj%A`2?2p}>{|WbeVmQ_att9L&&2ke^DCHUE9NBbv>|n{ z<=*CBJ;JE0g+RS!Lskf|R_n*xt?ss7D#2iE}AgV{*Cn4!`+v zl1Y*A5{WREvnwe-amnN`{{ z+4Eor#%EC}<$-Jf69hJUSD{J+oGU-nib2!-x^CLSb>IF~-apP~ zE3{5xJbSl)n`biJzjwOrbH}KP7ALN_!Lf%Uk?@*;mYPgjvj0$#ad`3wN| zTeLsQD7C?OSt4F`l9>!H6yC32;);27^WGAq7MR{FSOfG?{qFpIwMMwLNam4O6#-Gf z@>%84M5~?IJMAr1yJtt83`4pJCmxLfvD6$eSv=~bsjI6R5C%robJf(-Bj3BNF@L*< zYr4)pZ0w}r(eK^(i0POCj9w$*`YKyI5Jxc8qj$UuKk+L0 zVTmHY$4mBgY%;9crU@4oB#DO5vz<1Pjv^@Tg!_ocReSt6yz>Np4bbsXnSgr5Dyy-f zq0q-_2uT|(-G{$^VF~aYSw1VY!g=uW#gvg4VZ-}|zCsBLGeDO0zG29ySVOvM0X|+t zr9AGmS8144wh$*%wQ71$Q4-stO}}>0Dt(&7%0`cRt#x)h&Si#Ei!U7t@%LW*J}%HG z!_q4%(=_6Nc-7+@%L9X^1^GT&n|fy9rfCXSG;*xL*O~&+yK3KkAxKVYt_ z_3h8)i^6jzK9q6Gy4`ROvmC1YMXAsEMa~j$3}bl9FFAk862Rj*l>D8+Q2gXf3(IWh z)k1R#GxH|xWdmf+;%*VN{ReA_4dXIq_3iP7@B%$ArsvOBOHa?t{|E-Ku4BF{B?12{ z@9jx%AVJXb_gKlDrB+yhTs&RpKaV&6V(L=~d@qF?qQ?5V@$RLmJ3OH|)s6x3s1+<# zR+Ke1x*lWkW=`3|HG0yOIri3GwvSBl^B1*T$t!Q#45>g|-KZ3oIAA7 z$pPrO^1#XvP2j#KQyHXX+mh&D0^OTVm21xqK6~B-#sm_{;ZAlBAoaXv(lWQEYXi;~ zKzcrGB2A*Xi9ikj4r0`B5rozNqiSD#i3)Jo0N?^>Q(Ifb`SUf(`XGKvexc+rGCEF~ zJk)DQ-J4%HdjKwC>#j^$@mdK@4iYs~zPcEN6`ECBjO`}?Z}aN~#>s!zRV)7rL7_eJ zMM-3!!`psRi~3XILnEi6U7MC<)wyszSaP@9SMjnb-V2!9c%wUV=0 z1NrEI?u`3p&-pdAgH@rGBSjn92-<&U7i=$ zZ0P;Oz*o4S0N^H}kZx;h1ISC$M(l}H689}nV1HAXz?Dzt{0*|pOzgpwn7M&K$!D{; zNwt`yV15%89Wu)hNpz%0&@57Z2)IPgpQ9<3b<0|2_$KeM5f|3kpPU~&d~kO--dEF! zfId2iOp4RLNNC?Gb|oaRRm5Ut|2#5-SWnh=B4@A_5yCDUH+?&*y=COJ*rIaEi|)-~ zG=h!&Rl()RC%4KIf9sX^b2P^a#8O*dO%3)lcA4W0oZ`rI+FS)364+Io-W*5kM5^_q z@_Cd@Y;Z0c;;uKtl#vqjBI5B}zr*48h)b}2_y@S%qzsafh^SQqj0Y{V%CPXQvVd08 zy@99dZsqLd&^BDPhQc)PASFyFi0dQ0Yv7Y<}qN6r%M+67D26jfM5Z*Lu? zo?R`k+IR3j8Nl%eCQ*e81%Z0|>l6eWxs-6{Ch)&im>{>#T20y)AAPAq-DR~YGVmTS zD33^mq%tdO9TExD?*)J$4ZxmEFq5r}=3!7N5C)k@%}LsAP$U!oFc>a(0DWUYQb|yx zKoS^tt-1``qHuZo1sGgN^7c3zF^dQU9qc|848$-N3V!>>cd|;^xbkQC$aDZa8@wBN z{dq%_m7A-^+yMxu>X-Kq-mhHP->74h^1QrK>>I}&FR9J{ho-NLih}Ff1|+2sVdxrC zx>FDk7)lAb0jZ%;x}>|Cp+!PcRJx_Ry9H^ayZbvn-+KM&0v2)3*?V8LXD)MJGkqPC z$JZ?* zDM`(gQ-(c>Zo?Blqf1Z7QV>2{lKV}N>94!5F7+@wWr zByxL=>0MT7-;-|7OH%sD>tVaN612iy2ks(=8l{4?R=P8CX$7!+b+v@_%+2^A^XHgQ ziPDnY1;+snOPW!)y_He)n)nbC3(FeC&zotuM(!-yTXh1G`r&cTMK`F&el#`y>W864JGrIuz1@`gV%R^>NlnrmkA{Pb-AC zO`{>SG2OoD)4^GcCbccclHI=E=Nd=&Er*DnGj*lmG3@=?0xQK5epcj!JZ?y3Fp~x< z>RWy>iYX2`<06cxu zxNF^YZ&_G&z8~Hy4ntqQZeIsj2~a2%X|~tc)YQ}vE6`_(=8h>0eT&FbQU1o94>o;q z^YJ~2qG4;FCY(#8JOvE~5}!!P$>VAi9m`V z)ofWRoU_ic`mFor$CP@uR=KujcGBPp9+-*EKbzv5^I2G)QLuS)!sNw;Pn8zlJz~@y zi{sv-;+y-XO@5z9l^FKkeRRY*LLJzOYOxa~@vKV^BUGa#+~Sa~4BX_ZJe-Y95PqWk zC(q*sFJ#6WtJaWq>ghVRd&RDjtZPcA$eY}EJyaZg9j|Vz)i{>}6YH@D7Xt5=%GTJESF*pB$ays;V8)p{4pk_M)OOK5Nz@fd| z3TM&!s^`B$&dwhA-fw@R%mw}Ax$UCH%F-fE{sZ zl9xNFcXSu@x#N5w*6GSoh-o?#Zuesnqs%v6iW1W`J2OkDuo%VG<^SZ&cIyZ+PtLf) zT7}Yf(M75#U<1Xcek(Hl-=D9ay2rLh4P-xuYYykg<6-}ORkcX}$29$PUcM+;#a6@% zBczrebQ}2}o+9b5ojVTsMawaKsQ&DMoC#JlPTA`ZyK)u6Jqu`@mQq5Txsax}-PX98 zmn|NV%#&#$uUzmoNm>VDHw+w51F5~XpK+y~^TC9&5|10Tu|{bf{#5KiSr`z7u!~UH zm`HX-A7)1;7}^Wsr)Rg`j4lW=abzB*p=>lgASP%t%C2E`?FB$Vw!*h_WTnk zQuyw#e(qmj-a90l6GFDWxo_rm%jCCCUgsbyyjoUpzBl4Vdb=EawWJWVm#5~8fU==$ zKzK`b*`C=zDwEf}dL5#26#T(k6JA`*ffj;gnG6j#7FXf@u}*p0TiHQk< z$ml-3BHwSA-E8k zGBi)umK__93ZZ^|VBDqo!wR+A0Jyi%{G#<2HryIlvV@6g{i{8t-q z+aK&A>mIyGXL<}(n8LseS>-zOvEtGFRrebb+h37$bG#1j{tJuu&U+~L_1-~6coc=S zM{x7xnW4W|)$f(u=GZ}r);I!ap_?~f8ob6vgDq+6@)qc)z=N=K4k{F=S^O$pXY+G& zZKvI8yZ&06qZl$JGf#0s?ABL8Y0SO7z4!3l$IYei%P_G-+DPpkc*^{qlJUwq3s1R4 zc#XrG%cP~z=V2_2*n^&Ux&1tYxGBL4bfT}MzS$6tb?~z{vb@2I4Wds*o^Ey-_kIGP zZV|4LZVj25H-CFWa4XO#iiMOC62wQ{qMUqBTuJH!4<6%J+VJPVtSn%lfwV?vQfTELZ-_8eb6Z_U8A4hD1M$ zd(p=HaC%kgd$!9ZiWkm{!9x7>s=3ruJE4g5B&`oo=YT8~^qhg0T4yA05996e)=6z+ zYb2_&!D48~SH)r?*7%z}>CjVi@4LPqick)CvZ}(z zDuyTz{{m~JKRzeqmYLxH^{2#G5L}zb8f?+sEL`22OZRW<1HGPD<(shDi0#zH)K zzIxk?SVVi(3f?WhliD~`9%PO{S|bY!`DhK}!wKiQNV6m&C*%Fvx|P|H0~B8=85t9W zK;_Rp3kEWgpCM!lyOCRe+@t33U`$Mt4625}jK3(ZYdUtc^YhCswc>B`qIh1%8mm9o zp6%FG9{1362!GDba0<^AJ-+ahjm*xid?@eO@{c5WUnhd09}1nc z61OoCLB?2ea?m|Xnr<~LF7E}0yjrug{$aCA+{f1KN#b9)Et!Q?W|?+Zxq8T}{_ja| zOKnd6riB?8AB9+V_A3%<%;*4nS^AK{#Y=r#mHSTx=ZYzC$lAk7yX@y#d{Ai}{tl8^ z&uih>L*DFwscC8;_*gjG%*IAVCDD8diMeG9G0wyY4;%1%NzQ7t%-7Bso91?fBQob6 zlDD>o$dAkDAt&Ffm+z4f3bbL$%djDTBg2&0)eikHiiae9aF_!~@RJlXL8j=r>dMw= zjAvC;>DOp!dNJBF6ZBYlugo_@@hd%!ElP{uZo7` z#D_r@otubx>t}eoq$J@HIM?ZIvkPx|d`vw@YGe4x(#a7qa}vAED&4q&!MsS z^Q_4ZrcCfNCiDSSb9hb|u+aXPGXD4xyT^ezvS5DyJ4TS7l5r!uG8ybXF6_*_5(dD) zG0Sg3FOI7Sk6x`d1gr3qO}u0kAi5ZX9zkhCkp$J@knbi8-9txv9sjBSGF=L!rOg`A z_%W6E1qKnTC^hzzU=8j!uk1gSCr66!42Jg(567US1_^8k$9zDSZDwL;Pvb#+1fixs z_OZnjAc`nV5w9w3=Gn#w$e@EZ>jo9!|_&o%o9W0ik_C*kR}{kosN_4+Ni>Z(MHQB z&iRJwOl^x`MAS_&EKLI^+Ak~cvNigXv^zBpmA6&2%qb`SEoZn1(X`<9`K{(3_CFUS zo)#8cHZNuJ)!`tJ)41HN@Al-ww<7$pDx|KcvDQhAWodAQgF;#Kq*4-V#QV@-Nu z_7$t1H=w3b{?KIGTQa1#5O6zl8Z`+De;vY0_XNd5)|reTp^LtY$y8RMGmL$VyM17* zYB-vioRow_xT>bzQlP-KL?&M}Htld?@AuD=lJUdXwa1D%_9VsN>H5UeO|NM!e&-=m z&q~#;DdF=o*tEz%m3cd{sy`KP`%?Dxn>|M0P`9k80$(vaOa6q z4sr`6pON9N?84(wm`}xSM*@Yn5Bg}z<5N{C|Jr+8$oW@S>f{TVQUO8nstg{fDhHxr zs^C(u8^&l2ZDMZozyGKlsW9;ZZFWGKgVY#+BT$o^ND*cOPf<~dE8G`|Aj%6B5#Le{ z`bfRg;t8^i%+2MHIqLOP%Q=IPp+=FiNwN6p1+7d26~w9Z24dh}L^K0Z0Jop@yt$K; zM)VuyFJ^bVuJMrYr8i)lTz*?S|L&HSX=L>)11~4CKj00)DR&94jV_A;mD9>1p)~~Q zt)o|MO-=8HV?-N0?Uyn$*+s@46+hf#9YmslA1x-a2Kw6~ctV8)^5A-7p4E5dZvaa< z(M41VLY_plQxlP-9^SH@tF*ELVwCtPo2vm5g@_>^AKwn7zn-Mhx<00J@^=OMKQ_p! zPk^&v1fVY5IL{kwz<>)vsQXyr6le7*C@6Ly*htX%-Mp-2BuQ2OcTyd#sQi1cg7=qM z9j$`OGruMraIZobJ+ZJ;Z0?o5NPPO-T11%t5;%!Sho}5%t^p8l0e402;0CE#;0XgM z!%+oR;0RQVHpCv(qwUqNrix7AZdKbE4~W9Js>=e&s;*GNC_c{GN^_4Y7)Xt|Ga3@F zd-4M$WS64!Kbyydf}_kiQiHiWxLb#qwuGCX#7$hN2f4x5Rm-7`=7+(cxf*;6M}$1nO98gHUf!G_gj`x zAcA_h*>ztHXVwf0vzez9bq?dkasQiUF}tt;$Pl&{Brg{FMVZ4bvlBYLDkrRUUTs0o zwv1K?cdM{(Ib* zOtBCp>Umd8-IsGZPwYCN=9yww2Ie|4kr;V%$g*8lkEi6t01&~Q+3?|66V}RPfI}*P z3RC%XoHO_Z&lACjXVeGKMCE9FaY1A5xjQ{CG?VcE8U)c@Z)~n&A8}%QaTl*U>`#sz zes%3pD^!%+(pFJc24Il&$s&z@N_F*Qz*Io+ zLV?gtpH=Ps`}ZFTR1A8%)^#8++M5YL=;zs+n?;3%+N-KwSI;JD5Y-Kwxr`EgDhZ%@ zMi2D&NDXV0pJi)TB;uk%=7qW|-vQ9-h%GYhs%=wjZz58q-f)8?ak}_ci5J~ zJ7Ia6C<<7ubjn|BYk&9=!)35W8E8SQpj&1k)MM2Kd?&=q^xXp}AHou0eyltpBrUYZ zL*?vB867|r07ggPq1ktRmy-?=7$}dsfBvhSyL^3tBIN6E?HwWa>)}XB`S@k533;#3 zRbef^m_&tBS*;WRC|EL`pd+`VMtwHbhdF-v@`)@`FE`;t@|vu*x5Pp87R#2*D^4>q zYyvWBpGud)uC9FX)#U5f1OoMmW;sTQ&hcTfG`q&Mvby2!rk1vc`M<<*u6wgQdJR%$ z&U_uVQkr-4VC!XPNC&*E;wQXUJ@h|3=iX#>>5)&EfTMcjl;94 z>5XF;VfSv$QIw*|Vj{GWVnEH&Wcb6=3vbUXpZ5eP%|ikZFzswpeJ&O(mWx$(6_3{| zo#`{z7ky*4Z6{3p=U$WK6xAm{P58}p?@H|7da+Aa+j8HyBj@Dnv?szvGNRyxuN07Y zHe;{Ph9-(51Nh5(pDf3EWu^qUt?dEA?rv!dM_W?$x>L3D4M?%0Y#~MD#W7)7+OJ4f zAjL^@2mNOHePP9$tfKe6=i#VyO!56dA@ZjxE7%$$_M9 zq;c6MO_@#Mn0LPt68%sdD1U^xz)TTAoIH4o3k#Zq$<~5O0QVmM355Ye>eD!aYJM?`YjEIEvj6qoe5m5u1_oLl7RdBL`4vq~#i^<&Z@~wMk7&%K zb9;^RGvdgA-d*v8C>t#^2@}hWu16W^36BT~dbpoR`yHW{5_mI^CIBiDEd7eCA1hr! zTg*6!LkcfSA`J`%#s^`W@!T+Iv%WST2sh*7lL0`9Q3eD$v+Lrbj5dnkiL`PCLWP34 z%*~?vbkt6!S5k8&esJ(doUbuPfjy%)p~682y1T9t#7Egy5x5kVQ@;ac7caQC)`CCO zr#ka={bZ0gP=$#Y_E+o`eoT=I39VvGaUrl@Y^5axdHm@0 z^%zI03ikBI9@nVCUn2)sDJ6qRc|*^H^1y!HrnYIdV5F3P%|v&?quG&C{#=F#rNVCM zWv15&3`kQ#@u*foGCV3(#smdNn9cVoHZYH!r)@e>;E=6s3&M@xW}^(M^%T5`j6>!| zB9g-J2oi>9S8Wk|spZZn|83;$O{K0NbRo4QEu@0rLyMTX+?wW(itvXI#o6umu*sgK z%ly7a^{npOv7r`=<`l9x_5Ln=U*umwE z|3xgqvm>LfCfer)Q%A$%JcL4c+>^W<7&Xnf^(z7f%&q+d}8?7TJ`&{%Hr+9G!<#NAj3$&XP%Egs&26=;# z8HmhyWI-;$M246SlR_E$OL+5)ubtr{?en)K}R^xbVmzxI&SpI^pJ= zwN_uyKNKB;OeR|c{h8*`)I3lt=f}=7mXPXxtdB_3v2#gXGXNb=zQCt{!JbK%31$94^^^Y+l>RyR1N>AAbCG!A z#;}ugz5h_m``t`5w zmBdZ))}oO;;`-BR8y>WbjC9$d(V-zlgE`^K-1LLR?_5QxK!XUzquaA$oZ-4CUW+kj z`_O@(kKN?3dR4iGv^qooCJW4p^tjsNJNJub{4aqfG(S9jU#=)+dBhn*97oBCkUyAb8ePKxH;d-mdzmC0d~9rECI zoT)CImt$T@+~3CK3La;o&1dl@ru-?)RidHI%*J4<0Byhp$o;($y;@DHbp9Yg z&o6q$s=?TS!(hC870gjDg$F?v=(c+<_#^_=|0|PLM~z%^H45NyZwmpNN&aj$QL90Qb_INeP64|{^S3} ziBdR`LVKNqk`hKXlf;#WGfH-WGzICop#fVGlD45CGZ4UO#VGg#D8Wwy%m`V1o2LLs z6G&%SBO-}Q)xkC~1>KSk5_}{q2zD0$J;%Nht=9x!T0I}gZA?v2W_x*2ro*dXNQ_c_ zQ|lHTD+DSNV0zfm>vONRd7ts-_%%_SVq+$%b@~|{QKgks`B#3GT&*8P4vOvRl!ozb zeI6USMVf5DdGUFu0HK4$!f2G1YBz8NDp>eOAZV^nhUSJ3DnsG)lEiZFAR!H@aFq4F zmw)e?8hy?xWv`%}kfNdaUoFFSW{0vu0*n-Q5Sn$|I~==J((UqLKO4#j;lwZqGAlVc z79BY{NFL!AE zh!!&wcN5o1VDP9seeN+rJSurve7AV`m-Q!OE;}bd3}9DaUI@reh=!hpx|%<*LqKaYDo|2kdEL2(U3><(H?ri=86@y z-1@{DqBGk-x02ouv+#mAlYd~2pYlggE*^+3>P!BSJ8Vf$0bYEbD3Ri~ zMStTpYr1i}+fSo5!GGZ!IW*x*Ras3vu}rAD4&k9^LOqd6u~-Ucnh3(Slm+OvT<)0g z8RO`fJ=u77EYXfvfL~(glChl^GdbU&oYP>^i=Uj-c|HZkpl4e9-&E|uDgA;~0<6)QuK{S)+rh+?iaVturF?_OGmVGfzw$QDml#py zuh^?Axhv1uF^Ms<$q1sjZGVM6Jl=jh8_8O#w)EO^v0tN*63TuTD2>LevlX>`mSBR^ zOViHmOS40f(pWn3UweU@E!HS+S{Wldb@=*$v#54*ejYDKN&}SuszpD5ApN9MqVk~d_Pk_osr!wBgq|p|HW~!5{DDW&!dNAG0H;9nW9S3AB zUV3*eAZA@4o}z6K?hpLr{hDuLYI}P+v0>2nj+C;^jE==%q@e$k%c3q7pBIGXM~{%y zsg<3Lj5h>g;_9pdtM5Sq$kFSf1ldZfe>NyF{KS*f<$Z^8y3j8C@Tax2jVUx-CgItj10Pci z!dpQ2Raz57+fPoqw}Y>xzkZ@{s$O^NCj$2`h_HtZXs^#IQiB_~;x1x7fNU7dPD`Z0=>oU5u0mySf>8z{HBx=XrJEJJxW}C9hsgc0gJT&w+fD|p*5;k{c|D=s{UL& ziuZ-#mw%LbAmw?{TR6LU$8oiq7O4Z;sQzu45}usyS*6bUD$21|`cy8}W#yS-c<{9b zRsZNxH0=(?_I*CoKEE#-D_8cBK}cd>Om_SHF22bfZV_~36~+$F_AxU;>DD`gtI4Ab zTOy?bl>CtyP;vUX2TqI?jV|6*e5_5$PH3Zz?4x9;feE9vvP9@q&e*q8ZuhQthFi3f zz3oNY`{UV>TCe}(DCM!6Xo zSs1!JGxeg6#qMoJdpSZ0*d_|A<<2i4(a4l4G)gr$RQ$eSf;+h%vkl|wkRYM97Dt&h z%myOjG48d4Jnvc7q7qv62DQ;IrbhJCjyCfXxt%%>Uz_r;rZMbg>Tv?+2Dq|7B4d0r zI5IMEc=>KM8A*`no-?HPgotYo>K;z|Rw`Ao9WQ)MyIiF6BU8!%YbjMY4=H+>wFVT9 za@Bi+NCsAnBx03h!tQ_G6uCZt5CGht@y&_1;q^AA)H}`;z#K=UF%SvFYlicy-Z=*q zF;q0b>c4o&UBFh?(7quj(!`d1`bQLa%Vr90BSV){A*ut{1by$p^sxJEI)yv8vr)&7 zMk-A%l2Rql!7-|f!IF2}U@-eN5z9}iV?sy$|I(}n+!N2k9R#zzvY{yNNI52Ep)fqYsyt;^|78F+`bIO=wEP;@F?l-(kZbOfR3% zdnx`LH_KpWltvdXJ97H@5g#FE;>+kupuV%zDt9BmM%hUh8zPs~VVUOVScmclrMofK z@Qu#R1-aAZj1?}1p6`|iWe@y*3>iw277$VrsG+i5{1N8^`E~xLopZ^$x1*we=5$qw zvcAUs2t#ZuSJQnk>7-uW11Go3tSDL+Jv*ge(z{hBd8;@x(3AYnT_fK3XR|g|K$t2G zXBCwJ$AMRnK}^Q?mUsxBG3FXg@trzG5?Za&6>#pI1%CDC3n?ZJ<&Q0iOHGqzg)S~r zQz*@P9Orrk*-O0Fv$ql+>EwZ$J-VYdU{{nowa&g$>uH5^y-U_{#&2(B zwBU-nxJf*?NNbrhc3J!YcY@q2_a>+58cI7VyIzOjdgv3~EH{Qq^vg9Ym<=Ae&=z>5q!=pPg@!LZ+ z{F;$fufGiI-`_F5JFY~NvvU)&+81X(XeoPXV@>iWeEDjv%>C&q0rkVc!0(CBMk^8{lRE|gf53%<3*XPKD;2Y1|1D4L-p4Q_ zRJ|yuWVfGKH&v!s3wz{rQiK>ir3`^O`FPAFSg2?`IG6F&e?VZtPpuW-;g52pO%lB>s@ zxSt5#m*`3B1pnH4^2OLRQA^9bPT{D81L&WRcaP-R@YOhi1dH$>Ox!0F2?`Xeg*Nns zT_LBKBdNZF**8$n-=CZ`HUm@3dsqQ!V5J<(@s$0UarQQPkwiB6VwBcMwr3nVc@cJ- zoWJc6@sA%r6!A#Sep~MOI}c_?gcymkYF%6(`cIIR{hNS)e$08i4t#w2c<_X)k(Uoc zXbHOpdtXJ^8&46fZhwe-OMT1rD)|Zag3qnWg7bumc5>IYNBYPfj?U1WH9kibExpZD zxIk|z`ROqx7bRi0%wkzx`+n`x@bOwtT2_{Yl@&}Pc0-5m_H5yiwBY;QZSc!mrt*)s?(ZTjI}Ecc=96?<3?lt(A?@^Wx=htJ((P(Z!{<3E68rZ_*Ra ztkxzN=uI=^M@PdUOE~<_>TFW2kh?MemuoP4>}SzY1$>o={EF2vU7D5BP1qfMLBnf* zzn2`wC`5A5JkxK+359~+R#r`du)37}%aT@Z-fPugE_x;fWp0RzbYv%TsJZ<2e|16k z6#z8N(ea z;1Er==ZtMc=8-n@ALbEzNdUOy>*dA)1IEc0!dAs~eZWE>D;Sq>WDS|}DiSf%z6I); zTSK;_NjFBg5|V; zgUb-6(Z+4_NfeQJs@py0TSmDV$NgTH>bkl*rFN$HLr2>+VW#vU-ldjseia4IGIt#3 z5O|91FV$o+%5J2*?#fGAs*kJlacuLObhwnoK{2mBch_y>e4WcBrs*V0PK6z0=SxU8 zdxvSp9xTw=s7xK8yi{{(Kji{GF9%WmM3jFjv5uh;pUj!Vs_6tzbZ zsT$%93!IA@8NS9%HrHQtoGIR^2P{kh(Mv-Z4M=H}1#~7HzLL}8%W34yi1cmqfiUgD zG}cvQzCQ66B#t&EvLR>-%@+Js5ugsmPphlmW zY`bnY5A_V46+Ny{F$7KeH^1;e9J$5z+FNPn&dbt{GrRV2r!Ti_?k}%Xo{$_))!mCF zYwP(9)xMv6`JVBdgPtMdLbCMupJZ4YH}oIG3WorOIH~Hd>nHNiG@b}K4D&O1E)*lLKTf=Xa@qKVH8QwfqY(G=~fH-IPNjT#&HBc$uXt)J= z_v0N}yFx@#ljq4jAUeM-hUnVRw_3<$n(!(-}D_}kM&?m#duA`S5 zTHRpiu^SiGy?6taq%S9$hJi7{nm(QrHo3?-y@FSEB8dal$MlebN{W)AFB4upa@Q7s<<0P8Q9Fyqgi zZ5l<-k$yHyxI~Zqu~SM1=_gS7Ky=!r5OP1~tl3Jxf&x?!y{2HMkHQJ#O+oSiCd$5b zrk29bf){9rEjPGbzSVcc2q}btMolSVe&wb;2y}FY* zs*MzbIRCCHk-#4#MvOX1cS!_r`PVmTPN>dw)u|sF!~Hn-&-h_qvOglvRkh1>w=6$g z$<$dT@#B_zMryBmnuR<;8)Xjb|j`p@o1{)*o1JRSuM9R6vze6%=J$%Tp?@{TO&(;r0F zm2;8Rzthr6()^Av<(OW@ol9O<@oVeup66C^QWok+dwGEVON5`s!w6mX-am6f!iXf@ ztkv1XQUF2`S$@oh&0ea@UZi=O?78Q;K=COJKmM_n7lh)%%!;5rPI^5>VS`}}UD21` zix%*W0-Elu2BKl=P#@16ukN66>Th;xqFx-ejn^uTJZq=Rf%p}Tjo{sEm(AG53*YF6 z@(Fs1anztwt7vpQ?b&nL&AWY%`YP)^UJD{EjSTFF1Z_Lm9=KV(l=5`M`HeT-o^j?T zYxOa<|KV%4;-5di+0KiH9{l2`qDg8nJX@KG|*umzpNYbHHJpQ?!&S+Qr zOP);yaWlz(yXwszfe#@n#fBEcEhJfVxS84AI(ok$vf6{(MhS!}>ZaQjc#!!uI*Les zK^VQW9yvrC0ws&Ok?q9%h72rO(t4|N$W0gSUbL_@f-FLnZsiI!3*oTHShXxV14DZ9 z0+IVo^sdH%6a2KswNK+eeYy&3$<%+brN;RBwDK_e8K4k|$ro#ZG6%Fn-{%*9|MnOz zz4iL9RZEWUaVKoxzSz%zn~>ku_xb)qAh%!3wf;$Qb$CQa6_%|VgPc>O(e+OFYvmbc zU(z7^oiUhSWdg`eVHc8CfQ0x9>||4U`i;5R(Jp-A&|OZr9VXqLsa;O8^P9>&tDSbZ zFc9fem=hoQHs8#GHlo_43JK{~WgLNZk6hCGcYa_r{EnDnK#kq~_2s4aXFX2vI|TC5 z>R2F@Hai4~I>7qA3}jXf3V9iG{9=3#p!Ekn#eogY>~aEzaZ1Kpmi0udSPw|=0iwFO3Vs`P46YA!*SEUG1$o=!ID*u% zQ_Zq!d2AxDMe<6*sdR+L#hGU3f*A7085gjdw9}ZU+4_NI{VXuCy~D4&Z;R%Nyk*F}x!?1Orp~!6 zjlVDW%Iz#XL0X2nmC;DyTddB;t{z3R-FtcBZva3(2LiLUL}uxm%vvl3H#k9lkG$n?m;TcZEQYq=E}G&*yoyZj?U*Q*{Whp2ew z+#oR~P_DQqu&|cJHe+Sy#f8aX6Jp|tA*(8Oa65k0ueGkuOL~wV>e=1+{ZI%%$^goG zx7KM98Oit~^Pq)shHy4t&f{h0w3C{ZduC66e?KR^)nm)3j=OzkcetNyqQ$`!^^9+8 zwxhtp?GHKw>&Us|Y6!&Ha(o#=NJ6NOSjQye%?p(If`?4d1N9FXfsm%7(xH2MStGWh z6g23cy?J)YTjzFF#Y(wne=~1G4#G}N;$`G5q%ecnk3P^!kKnkw?H<;99GpXmM7}?2 zu7}WMM1`g-3Sa-R@buwgELh7Lz}7(7;*}#-A?Gk{e^ibpA&uN@zra>)Aa6O^r+aV9 zPj-hyM<_}NuhQ=-;h}SWxSCl$GvP;0F7-FOW?;zN&> z$Y#prwMt?tn#_Ha-5Vs#xxAy7JE!cJyLWTK2xq78J*?IiY6*_tU;ZGFwCWtC(Y8fp}LXP3x8kgbZ5nwh;K}hw4N$*zZbH zdae%?R*OU^GMZ4{I50#-Y{iSymHX{47^qsIsER0S~0A(ve5z(^8FRqL;sw;`BYeuwhA?_aKg%k3f7I-OCg8>UuOKx#lY13 zozN*q-W}TAXzq|Zl9rp_V~S8k%1q^82Icb56%KOrtZQzU>AQjU{4TjwnmNhF3}Ldf zUQ^<8sZa;oK;={N00o5^g7*Ui_$57OL`Qa?tL6+U~eK*4uh!&G4$7^y(;7GRo?6GrD$i$*=LF#ILSjyy; z#fI?RwO!kNmbv<-H4{AO^nUm4MyyY1)hHNgZ5847k(t=F`|`Xm7{;O%Y9{ zUeD8{{YPP^zXHvk28%m6If>tFLYdIyNcMW!1|M{Tgo?;`T9K?MKHnS!kMK{BhFD&5<`b+?;YM0#uKUjiCH-%7mfi%~>N9^MTRr zcfNUDV%;qATjJMu4QtfC&02X)yLP#KkL?8fxTnXZ#*$t%;dYNt?oXN35<6OMF$WJa zSbTCUjW5T~VS;aKBaZ7IRgD;#O-Ci~|Ckzep$Vu0J|$tnyb^1}JMKs8!|qs!M9$9d zbr(BNjDzd7G7l6a&ts(SsoGTuXBvQSpmSi2c=MVX<9us1cK6yWcVjx)>;nSm9gDu* z_{Qf&G%1hCX(fW`Y}UGyZ%%H(J7dCyYmqZbgixLomgdANXL(9ZcPqQkSW5S5 z%sBVii_~v%0K7(W12VP|eDo(S9Khmfwv=$nI;Y~Og6+UE^Q$VZYnADb&1xu>^e=Q~ zD|%Ra-^$WkJnG^*QtgK5RJh4U9UNuuyS}EL%5YNeyONLs8SY8C3fMaw z-pWdLPEH`_s{K*4zpeG`_P)8_!Q;f~O|{~+W+_VEkyc&*i-A|9XTdIxV; zjUAr%`C|LcVKfSYyTdOKsGC#uQPRL#xpw8GU6agp1=72E$k}Oh5%*1-DD^M&RO>Rd z^#8N~$KU@OiJPOa|2rx2Q}T1qbvr)c>BLWmAVG^QN9S8KL=;x)&!|snZcG&k+?(xw z4h&NAJthhP;&k4vrplzzJggG(lPu+j?;M7`Opr7o!E~Gw<9mgJNyM`w!qa(zFBQY@ zXAjst#N^GE!h+FubEY&Wjzyt2PetMM#y7)5|3})>e~Lz zVpQVp3zRVFl3$NpvtG-mlN7kt^9AZfalbCKR5_{Z2v9i=4`aX11Zcz(LdTDoTR^Ou zg=Hlr&GQSlDU~BG-)Ez=LNc1E8I98&mu=&8+-n~YLOcAg_-G>%+jDh`U+&&7!p`=f z{+ZaW2MH{epyX^gf?lgNXr0hS5zzi0@abS6xaEW2Z?Z4!Pw{&kCRJuC*eQF|65J>F zr%s6)+4DeZj1iE+DzYZ37CxtY%TAIsUSLoP@?*ngr3D;;Ijve3?D+x&zM0wUV5JmA z#%i0KpNfV5fQ8Z-4MU`HQ6?2_kPdZEieQPL&$o=o2?LjuSiW3aSs)!YThqJ5D8vj{ z0{Yhz{9u)DvYElotU4~g< z@#}X8iK1$yXcG{jlf$82j z_Ux@96AVhUa1P<>KjzN7RT8!Ra@rkfSg;`dh5hl_(rl* z>k!)Etm{3~ciAu0e2fe5^d6HxJT%^oF*A#K)iqBkejFXm^ilqz?)l7bJKatgFT|9l zoSSbbZq`Mt(MU-U*;Vs=_M5Q3Z7sH6f~tK_Y2Z19d$WsSc+2&uit}t5IycH<;v7#o)TQMJl z+;9e6lxaWFcGB#SQX%mFT_&o3m+4jIoGAdujmvw10U~oE^t^uASW8M3PugccFO;G! zsH<7(4v7HOa?$T@Q?k3BYYAi}fwKu5h(($a3AIhW4f{$Dnb>UE<=E!}+I1+a7tlL0 z&2Qxdj5$|G%RLW5EQ9Tqm*X6vDWAQ1!vS|v%tv?B5(R9@DK$&_OR`d8#c_n3fTCTU#$qDh;bmpT?u zHQ(tC!WikyKw$;b<;D~6b5zc0?wf=182`?ZTGk&5pG90&o_Zu%f6sst?lG|i-@*8L zJg+JKx-rU-dj(|uMa`OX@s1@MUtW)SyM_IXgUY1GB*8Nb7BDmElTh8?G+1L88~%D> zWVv8E{PKlmChl)A_>yf-_i~cUPV;o%K1Qu%HKkZze#m(%!yIBOw{xx{hQilgM&DaI z<>JBftVO9w`p){}+ohZ7+KP&b6aCmrk0$*hTh6^ zZ?$gsFn5m3zQ*p>t|^8F@DhSmaA4c`tv z+t#W+_1ju-%G3ab`}GR_5M14t^Oo_DZimR~`v*XHX+fzC)#?;7+(1P^9UTsNA;JvQ zb=4}oX;2WS_+v`5x{g37=Ljrh_PqUq^1+XbcO3jg#IM;bbr%0~^n}*Jerf=M;9W;3 z9MlMqSH~*$`3vbag<1yyM&H?R!Uv4gD%h0>*@2)9I|J3?;@=8Ob5~cbU~X&&UP`>A zoTp5N%D@Mp2xp|5mi`W!A;f$Hv6?-WPLgWjRFjc~$@_fuuSaT&!X?<~@`4;nwt=ry`rKkEBHeYB-ey9F=lNXCsa!;8oQBQ-j zK%Fk+lR8=J^Q1%RtBALHFswt4zYK!krgPS3DCUzsmFfN&Qvmsw+8w`4TO)h>RA$&%mN(p|}tnAa8ezkmebYDAj+AOJkD9nn&;Af;}P zXs>}}54HS$#@>(fGa({lzN1)(W8&~Utjm~E#4!jcu-N<7j#Hmt;MqTR#5(<=;c<4! zF@J)CT~bGQVK`v!`Q&j7qmP60RQr?cFYUj{)-f0!Wh3FeZ}_yqr4?DRTg=G5a8n?t zv6|FBxZb8dY?%oOj#sxWEh#|^Z1C`LIA-XuH3q9tLshZ12#paIG`Q2{qugcoy=%oi z^#>Uw6ib*^C8&P5+FPBq>Fq|_A;h;OX$)B-Ci8+AzSX@lpSTEi--Vg=EJqm+0xJf4YN@B@I+p!t87rgQp4dd+xILxwYznH4NBd-`~h8}xn?7##QJ zDlrBsG~a6y)at}~q4>%|qQY?!dZThP!~z7#v(uP#zXlxFwkXx9;3)z$!nB;ot@kW)5U)Frj~-EvB%t7O*Ct$0`i3l|8} zQ}3+ET%@VU`VnA;ze80EJ5Ek2)aTqXdtMkEKLv7NK+l2@ z6xjKG&5+8ZT*V=gC`a2|E2puH0yB7tT^pbYFrc;hRgy5U0TP3OYUEud$jE{*C8QP< zeF(*;76;A}HX&F*vXGDv=#vyPC4otQQV^JPg5bU5<3yhe#%yboqK9g1K%@^Sr0UEW zs=!%0`4U_%kc6poK@kNT<9+lWd)R~ny^2%pZ?=$1a_inpTa5N zD0d$2%3|E;@$}$UO!$II`1-1(Fkwzy@+4Wv0m!z&R*Xq$ zCD9Bfe&zABF!&(z;0B#HgY_2+!K?zWD>lbI)Q)a+yXl=TBHo{`uib&|5$xw&15)mP zcr;4{u3`=vJ+7QUX_-7sd{9$bjVCro17{fOm9#478Flx2yWtbZ-o5+5dnKA3q14XJ3IANv5&K*HMBy>Q$S7?I5I_6f(K&0$!b1$5+n>OxR`5LUXrxs4qx^TeZtBbF_si_W~MP~ zho7yVD#p`aa~nG$YyiN4!{4r&!JUM`fNpCyUI3qe`-%C5%_}4iZZ%R|Pa~hhJ^b=^ z04vhRzjc`h$uX`CO-j$7S(wN#ZLrsf729J%6ps3< zBe(!yUFq&r1Q zDJ4ZxQo1`t1O#aWMWm(SJG}S386BPRUb*p$vwQaJmb|WpjR>0q8i7PlAf){eQ3HWtYl+g29_04Bv(5y92bdPS+Yhf9_sdgv zXt2GbOTBvFwu}U>Ww3^YvwLf}SXR=V%|LZ|0W~V{aBxKyK2FhhcUXtQ6ta7kMe*Um zuw%(61Al+zfNE5K>l0yg+wQ&CEE~+hm>R-hiD{*Rkf9Ba_c|Qtp`FYf--WO+)^@Zu zaZZvF+VdaK6#Nv>NM-ZQ%^Q69vnkxDVv{uxKa`S)@lRD`?;tUOKv-5kO+z4o##FVN zTgaSq0p{u&?WAazo8X_buR#j2;bDKT496VaV8`K@GfIf`FG}n((*3Grzqug6OX-hXhOEX^yrN3m*Cf&ca09GyZ7_4`V;Rw`n}rzXp!<;oE^bDZhUfl;{vc!IV0v{xxp{ zWo%Kj)i~Z#5?}pKMQLNN=u?sgZt7>7(Y!lsp30|18tSMbE&fizyuw&sFulRS>RnwK zX&2(4QA8Sua-GDJtJ`k0PN z`7MIOLm$TQaC_+O(G8|_voSx4Kg?i$nUusVIH~_h!ny65o^7qYdpC;z>_M5eavxO`34ZOce7cRcM`o%(6 z&l3=o#~jz!yjG**_wKy3q&!lh>%KX*q?==H? zHv4O04$&7!948<~ww-*5lRv)NN}(99UJnlGWoF|W9&l|8kZE5=3CPQNE4mASTk2@@ zCmS;CJAlApr^Qtew%cJKNZy9 zY5j;sG)$dWZXRI?>-|>0h9PuFPhLjG!!!w0Cg>Ay0V^jfp|!C znoB@{sjcM4%F3yo|DyZXVDo(W^{GaGhgmJG2S82FntLIBiZf4|s;cF??Pi^ag;NeG zgUqn+ReM=_UX?__MY}onR+s$azIXZ9NA?_;d4s3H74z7ZOrMi%ELXa+;tH4n=$2I8 zr%NZQL^hyo&-R{9@yXXl#Po~nuqO&-Iw^()Qk_Z z`$FF&24OJ?>0Q4nayXjjkshLV%XqOoxh8mtAP{|V7_*Gp(s!l*hkblqzKLmD9w(Eg zEke6ILadEpJ3cCy@SOp(fPddU&*Kr+>pGF-&u7f_Qrf`}{oZ`)9^7;X11lrwUGkz^ zNww%TW*|>M2@`Z|5Ok;GHlgGA^zMs=PWbIUSnqJVU-zB*q(eJ{m#(%o_j}vh(+@(I ztPU4A73POjre1C@bpR7NxqS?GrS*URf%jlAUE-nnZ~Qf#h?x1G>jQad=6M|%t(J*8 zJe_O{xUTA%Ek$qM|8NncyBHbQ{Qcd)z@X{o`T~qbt$-~pudy00^zkvc81;B<{kzD>kA%AcXIaZb)mNRr_xa1B?z=Z9QM{K=Xqe)x zY4~F*|L`AvC(^e0Kt9Wd>mYLO|91vM^4cg>&^I?!TF2&R+Gf>vjOYh~1KQRL9$nOUB{=Dy*=w-qn9Otp%5MtMerEPr%_lpcJT+n8doR3Euomr6dntL*aK z^YZYZ?-kNHa-VKM)s2Vs2z_NjwP(EfERD71w&cy9ml_GIPx&h@u#P5!7k2%lWPPM3 z^+iZ_?`PheFQq*9{C<5$F=ErFXY)0sEjDEPft&*6Z=oslD?VV zgp5fCya_)F8`+c8oQ}t#Vs^M7R{gLo?tdw*iCMC3hOytnjPyOOGqXRxT1@-O>20@#&1cW-Y#B{T-bP|^AQYnWmUiJ{)PLK&5Ue=lLW$nC3l_&;*L6dpS^RzM z+zx*JEUGD{jOhIK?RAa*L;RF=dauu>0D)n~iX#wiWrbKmrOE%+GS@_5`KPHtrx_)0 zgMaWh(S=@}F$*RNc6bP)Tww*A!OIdb^jNOO)bm^#h9NKna&Up|v5*56CEn)v{geZk zh={qbhLt(yzJ1G*JN_IjFzP;9#e>)LjGOq|$2OMLhVQ2xwE>@2D183W=Vb~K(mG>} zWX6;kkntl@fsO^~{e-=?-2H3~sHnm42nsgPv>|qx1yxj{*kedb5oG&-s9^33Du*Tw zxz{G{y=0(dB+-=YoP4M3&@d0V98D&Vxu06qrY^fymt$eoJx4H=@egXI?Cphz-+^Q2 zznv3k%02!7f!lgsEjHIG|6UX3g7N;>Q`(>(XYL+9o^2_7(5p3P%pONdeJsUz6`0b# z&bO;1&-5_!U^uOA^~-e0!cU*ib1i6W0Ren<1*OZu*yo!h z<=q=Z`I}&~oi5&S?wXs3nf-`f+8OibwdL!O#mUnAyHHB7tz+-o;kGro%A_F`onG{zUrCY09q$ z?cLHl$+w}s3)(fZvBnuVHT_1>&Mhp`{)Gs;|fcw1&?y4CK? zT))!%wHJKsN-0`PWYA)2{bzgVBg5}A*PGnKH`f>Uf72G;J@Q^9@p-x%Rl9qir?}lj ziKdW45Yfe~m@M9Jugfw_%(T?or@$1d@djIDWs-s6{TtpYe#xP>BkqykGlXvjQ&a&?X4@a%dl2?jQ5t{L7HwV8>+&^r-D$ZD{M6`{2s<^K)E;yyR5D$wsM>YnH<8jxO9DzaaqudACS+{u8#)PZqdy0{&+~U42yE8#`6r8}Ee! z&!|toNKKTQf2~egV_tu0Gln^dcsUAK(Y6bd3WXi<0rF~pd47HNT9xI#Q6yFqqsX9D zb%}=wY&9x*a5tW=$C>-`%aczd6-ML>v19tzViuD885!?{9T9y|8o2Ev58w?p><5@{ zOoFl-NPowz8s}`F;3y-&vyeEkA0`;#K53@+=6J3F zITw~qy>qr|VHZ5^c2^Fiq-d=faw&n3g_ArZNee2ecT>M01@HFJ7p&OjdYpIi64H`P zfabJaf*%ZUdx$(`gkEgsDv%x~h``gjw}fw&6m!q2M6`T~x0vhVLR`Y=0e#F!-{}RpI?eoQv7zr&R*^)2F)Hsq2nV6WkkBW!K zeSdI1h0s%`^fmLQ%77Z9f%y=Xj4s?Xg`HFJL6S3T!{$wi8yD9h?@j`Itax91h8T+W zYhSa&tQohpcoC0{Gz0kfr>$bp{+w)Y;|gc3Z&GY!QSVnPZ!Ykc{os6xc4ZS%^Rqyi z)m(CE_4l)Toavf>Rtx-hPAUsLH@5(r?|3GX}Hz$QRgk#^`XQfaEcWjYVz;7x%PHVX8>+GYxtLCA#}`VB-A1tji!iqgC7PNI#Mogrl_CK2OEeWmMj#Hj-AW zC_-{VaUBL!2)Qhk@Fttz@a5_|aAPz2yB7SJ^P~LsNJAhPshqCmoJVETa+gu`?5^k` z<$Dhjxh=I5$!%-qP>F87SJ+AdEWpax1r)f6Z!pgdq1+E()8hN>18 z=&}9s%z9+^MdzEn5DXJAynS@6fNjAh<4xW4U3-vb9!pyuR?d&ybW zQ*D-265+K@!aghFe^Oc@*F4QiNrfM)<@I6q zqvE*+S9(Bx9!(?3Ov)gT-Y7?l0BMbf&2KWD0It6euZJT-eubd4KVE1tH*2Nz7z4{ayeXt$PmZP;} z3GWQdNl`|S3sq9y+-55SxjhpfCWpiESvQ&mIjU_}(e~zC@$f@6z0Rk;6QO!7#X*)ClB;N#izFw%3=i2o}x+WW8vodCz%eMT|M&{H zH0WXhm!{4-y*lJA33fWE{q#X^AmN2Qd)8j4>)^sBg$%{C*vt1$`%Gl=aC7GRa41^7 z@Nn81e{87uyNt0-YbvwDRl5HyRNK_|4_j#gGbeJ*Qz3x0xO0Gc0!ZO|#*Q zR*K}p*xRdCnJQLHzG`g56^m6y>)A8xXVr{jz8Z`Alxk)4`R%&>%P)0A2A3r#R=ekl zmg3heV`^eg^)O>GYL@AQNRg;}#f?~$ zCYFOH8F<5Yc6L+AC2o+X1-i{ky<=KE8SXx^-z+w^VPyMxgBJT^>T7X~#6sjj&D@ye67Y z`4s<D&U%N=;O!LNs$()Y~QwIl~>N4=JpbP_wzi z*t|YYM#~A9>P|ay^rm_z(+3=BL%*-N;$DGPO}wXRG0cY&YfK55%)pcbaJE&>Pl)hu zTWp43S~f)Shlhs&Cc?|R;Qf!g`WB{vd5jL{LoKlE0-Gj~6M#E|m6w;kb9xeu6$R=m zab@FAR`W*s1&h>){gC$JetzUY=Cb2M=lAcAHkuJ=!x<;O5Hjt!L6+4m;2j5^3e=>I z@BANVetc}rM+rU$(@ijd7jCB}Q@_p`eWms|k;TqIl8z)IADesJhLxNLYhcmmBl7P< z_FUQO2iRxq`O7J?`rvf(%5WOUg)|7{QH3F{t7F3qUqC32<>t^09mcir{zW=aqIpyVf{WIj7?<&G{ww>kS5Ps&Yf8N+D{UBctC zIKwJN4T;fN`5n<18Th-1uFuLxP;ohVJ{9}7&nhn-JeWbPNM6OxpQjPJww1BoNQ|0` zPIEMuH;i6u(%+c9QFc|i+J7C8X*gtkt&jW@XHP8W|MwnvQ6+QpDlUwPc73eg8^hGD z6{)7WaUEiUh9<0DQ2WdJP)2dP{J!fAeF($y(XXkYkXzS%flNKlNGDOml9@Yi(j6` zME3-iNe*OKv$aV}$+{ft%F5j_2im5JoSRZ(6g(8 zxIHM+6=Cg-=SU4Hv5@%5%)PkvO_D05rI1q-h_*SFW1aNCM@o}j7fq<4#VW09X^FF> zEH5u-|MkInUiA!7FJyXaN~m?O5X!L`FBq&=jYd4?W>kRbp;z(!LK+|q*LgfTGQwV$ z#GbEE2x_@k(`v6c3#y2$xS{J2Ft*_VUX>x)@CrV36>m_};-Yiv8LFhfjNa!Ti)n*v z7j5UXe}82$krB%^krf~o(XgOHaziPUo|TDhi(O<&Pm4g_ z^X$d(>F0L>tG~YUZ4P&y@30Ah@>Fk727Cy?s{}|L{q0FtZv|_-;yDC00aapzUJCjQ zTgr$XExrTwuLuM>BJ2-JeS_R_>WA$$Adpx zH!yCr_L*pXFW-n|7;D3)$6Lh~lnS_VDl~*Myg}Qeq`a;zw4{)|Z_!lL8YWZzQc}rh++#u6DD2 zIa7Ee<(7B!u~tQD?b-LAHPVeHt_sMJATNTqB6zs#WO?!TM8HR9VSyum0YgJi`2O~<)~Hawj3)- zI`9V7Q3I=ISX(vt57FaFC~Q!EUp%m^L~j-TI%BybWOB%vVVY%gB~+ishx!!9!&dZ~ zVT3-|pq0!spunm5CUs)rGN)hldwI`)Ao~4!5qn@~7vH?z9u-nJ?N|+E7%5%aPKR{cDCbIqy;)k5bx`ZtB}VS9xyi=g}i2w zR(eHz6&RFGt@7{5j2D<_NUQA~LJ0@T5hHTQ1^|i=q?e!!>E;`FS{tJURUEh%d@qI} zs55`Mr4u6~BPecQuV!Xvzcb;v$C5JZ)3?SC9uHvVPO1pZ{4FcE{5m}ySZY;m=JB*) z+d^zmS8^(|r4G6Q^iHd0MjnPj70B<}PoKh^=gUw6fDpSS1018X6pSa|BNq8^zs=0R z951k<(Tyb5?sdNrb(fpNWMM<3sg|Cg zK^zNYBMl8Ii1MerjuYQ7A&lK`tLsUu@fVNqaxl1d-8&)R+iKn^E!`Z9SmX%R5s{g zzQKq^wc_o}zuMkH6XevLOsg1<9BH2EQ?~P3>G1aR!a>uo#R!`1FhQJ4 zEsj1{T1@v87N?+s@1$0N0RfPkt`AHRU{~$<(7_3|ul~mJ6inEZUg8tZR^I$i)fg-9 zu|dcn?MLTlhv0wx+I9!~BSE(ohdax&k3U?X<@t)ZZrYK*!qrkZyULyJ5A(-G!eLb{ z_3xe}R3Ur?bkvs_r8fpMAODrQgXl$#Hing2k}IJV*Q3o{Q(FO%*ll)s|?jN1NN(_Bt}I-$g~GTYs>TgfLtb$@Ga zb{60WSiFFfimDM~4-CCz>bQn=5*KkXr%zc8wupPbDp<|96s z!vTsH{QfTJZtmU7uvu$lOyZRfz{CF`S?Zr?r1d8B99>9wnI<>1Bex{;@A;-yiA>i^ zzThsd%ZAULLBF$~kt)JX@*j(gMiSVgVxlPeMrFy7sseiY>X?d7gms#B+vu*4%ji|Q zt)qKPsQcF&hh?6-yWbAuRi~)als-zIc|9Ydp&R}{?OW`h^xaz+%Xufg#2xOe|H;b+ z0$H6^9*{k%wzi4rSkF*xb8}ggn9N;N2QLzxks2;o%68*9VExLDqEN1s@?*8R0`U!c zu&?mc^w`o=6^-)Lr`91q9*_9uA-&)Xke-#ANS;Ka5} z{W_RCB@S?nqK_LSeR@_Zg@3lQ`wFV=8ed>Yp*#AaqB({SmkK`;N(g{{1~vjMmK?pI z_Za2vaIG0~ECq{*H0McUIrO<0n%sgpF_WC~;qd6YlX9QU`5geouM(!{mMSlfNgMBq zo^!MF)J)s+r>pDodAi&a-LgzSHtVtLCT^``wPr)O^olJtoYvi2?I}Jf;wbW7R2fy; zig?Is$emrp17;zvglc0{bZ>&d>6V2TGLqc~cgvmV)_9A(Kc8 zM3jBZwC6<>4IIKe#pQt)7r{F(<1)#D@NZq_B;c zIu!v&VG%Y?W~|E54G+g)_TP-9>=bEnhF_TTyoIQf)mioFMnIi1bep`?mCwRk2v>%m zHrU>%a$)I{cd32lz3uP5Mtg~)4HqYN&Fd;Btnt_NJegI)bwJg(c6scZxw_R1M+clTt#w{AyU+P9Tl@jx|^l}1zoc#v#21BS`!?Ga{v57Tv4 z@C3*RJ#b+znLm_Fb7iSyS{XigljH~_=jSLsfPnu^11U#A8vEt^ycsbG-FobAkBX;& zo3Wh+p)%)yQ51V7VU(Q4pJcw$a13yZQWaxa&q8}O?1yFfxN-(keE4v|Xfs?5#~p_2 zpqPm2fb7hJhEH@-notmI51vws=x%f&!I1Fdx z|EUuSj6Vwe`LAm2VcZdyY#{FF{aMM-6~CT&eSxRJGg~Cf&oyg@u1sl|_V!chHqOMx z{#}^lVxA6$_uvT2`c-pF>ymwOF~RR&^O%iLd-)`2aBY@Ny)WRdASb`D1g-ye(&7@= zq-`2udXzAck$|4PM+~b}4VN{^nqwesB=-FTt5l$ZiaJf{sZz}REu}^N|K+n!+@JbE zJ(s(HeO1qO1f!f$LuB~7p|$A0Il=OjH&5ON4VyC4-(cgg(f2JZgq__o+zk4lcKu2MXmH(1Krqo*-BJRCOuiOc~mr*Jr_N;2}vDHW=?8H91p^kcn zm(OfioMLVqFi*V)e*hq2wGsDhYsRfOpxD{lXph)7Cs@Q>K>iwG!P5E3Vq4UHGHku+ zY%H3Xojey!o`%(U+1g|u`*L?7QS1+=$9iT$Z5Yjb{YT?s=1QfI0^9pqoU<$ohNQwj zTnva94#YibNd>?K1P~AcEsQqxWYX&`2mmIwk44>A(cm#gU!YkOtzeZ-T?i2-cM{dF zo#&r|%^bK1ck$U+Tcbj%rnp+yyIyp1AZ+st1~{;~QUm6V+IfT@^t%J>7(!=53rzyV zR}BiViaKD`f z{EcrAnOJ}$cl^WjED(2Kk}+LPhH!#S3P~^1jzizra$CV=$|L4KbU|0}D%D|)zJfm! zd|St0+htK={$d-o7KkQ%@`~^|5SNBreYd(co@$q&@f3cR{4Z95z)1X_RSQfGdjPVO zvMUOm$6P`C{_%e4OJiw&CHOvx-YXr~ZbbR3cICHf9J4)o!vA7DNEU||m#3f+Cy-W3 zr~{LMFIc6KenCnzNqV;Dgl+Rbwk9TFQL1v4y+%Sk34Ija$9OFzT*db+bk*G*_Wb*$ zcM}N=cSXdkpSbP#@$!A@JzN6RG<2>Al=Vp{$P6U+|)mnGyo+ z-0gR^tCQsR>AU=HoaHC1>`g{;)E7OIE-9J>#4SbZdjvF6kDTf<#w$GhSRRJR*y4iy z3b_-M&N>OIbU(g-r{~_buaAZsEKA&d_4I7n`pOO03>AukOm7DR!Yz(#k za%U_z7u#Bw7Eb~%T8#Kn3G*0SSXp8itaa4vjYt&@Y>ZW73VYICAwCe7zNtYB#}&Yc zZ^GTl7-rps4_wuVm>3%)9l4ky+=s!K!G=%KYuf{UwYn}Xx-4-A9ldcq$3rF-q(lnU z4$`mW^R6^+pMP-`xG6D=w8UrXeazV6L=>}TL5R(eGrCg1-&yfDzd(6iaO9cUVe_FX z&)KPjCV~4|EVU$t;Y}M-0gm>Yt3k@P{dknNBN`GD@B9dMbV>#+dg?Ar#yCv!eHUh? zJM7@#oJJs{8=^&Oag2qLw(I|#M1AvWJk<0#(iU=wM3YLul5*utfAQE8Z;w|pNZ1FA zciMdyx|f35;w#L8iN-B;#N(%8+4dS(XZFA9Y7SauI>kMksbHjz2RjN`BxIg~Cm&y* zqG+&^c+aP=Jh%0ugu?~$gMHDt=^p~Iem23 zP&9$#qfEF*;~iHkM%wr;f#SgXCeYLma1io2%)0-|xz0GHSus;jl$KnYOkW=&D3}J- z>z!lA@nmCM8e;8*Vj%FbgAaG#BL7un?1=*6Wnm%9ts>*IDN<7Jg^fURG^6z-*v$f; zk@TpT<^D5kYkBny<#)+^VfF_jU+?>txwYHX8o^Xeo3u@$!aHpcMgk{K8NsMK;Vp@; zF=b)&`n{9(cVSw5cxOEsjWgTPJ>w?-7E8g4eJWcNWl0HQnA;#8$VfzrJ;GnLgOY&w#p3SC4C#}|Byrsx!o-R~CUl@m9mWhMb}B$i{?ctDz)@3f z$i*6W*F~DjPblZ-X5KDoBGpTYtha{?&^Q96?SbFIc(oyJOu<0YYz;m{>D&hrRXiSj zVyxpp0~f=(r+<^st(bogX}Of7!(jOt`76y!iNXYIBp=&5eeGV+MH>7fj_$2TPJdT z@mRlfbfD4Vv{pqd%Tbxv-EDbO%D^|*H_U{y)0U7cNvC+uD*x)*@lqmTje$5CT%g!v zLY##ChB1Q}qj5&*KvANZzkd)r``MRBb4!X=t+=Y5vbVyx<6F+l@@XYJYPqb4LAT&K z$UBeR{GnO}?yj!0t-ob0eMhzzr=N^sex4!YJ@ejNdW)AHZLzbCKyO8c4h`k1q_}AC z9h`@x$=!bLh;y_D*P5v+A5TvSZZy!k-!k|kC4Y(}xZ?fxGrsOA zUSJ5nhx1XWO*{r^&k}X^Ez-?SeT=M7eAF%jEw&{t1#dciL{MX-Zt){VLQD%G>W4>S zYmE-ga8<4}^L+Uw1QY`Fn~Xnx6B;`ztSmU$!YCUxf@S?36O7}|;SZW0r6 z=`+>QiyS~MUsGNh?8lE*@T>BAukDYD=v z$t&<`rya@QSF0HTD46@=X;#m=qyFpW3zO|;_YPry)$>-|3mcSRDP?sH4UzB@FA|aN zXmnwjrN}B8G01*ZKrmJx#}wp2*ltuv+}Fd&1&ep;H=VlU)8zofTDM3VH+8?d`k|os(4*W>ukGj{D_T=~p-|w~zV$ zG@kBv3QlM@dAWvQOygLk{7~LpS?WHwo_hZNiYYgA(H}FwI;=u!Qt1y(sHZYH)~*iR;HRGm$n^GJ%(RW#H0GrV4lk|TM?BP z7M$)hhmuU=;{VQe!_c7ReDL1|i_Ot5yEVavA1=cT1Ba4;FR@f6gzyS=u;$DN5(73P zCqKODC?#P_YSrtr2*SBi!kbU!S0cKbuwuEK#$}GF?W5(Ezb#?dQ+~<%_RzZWWw91(Vs0I7U4k0Du880Dfyplclzb}HYD1!Fv z_y_dzn}zkp6$hNUrDsD56<12+*}tJ_k*dGKY~CS%W2P48>T_s;t;Cx8a`ysOg0gx{ zzzlNE*-epoLt0rGrYF9o^i_X{H9Z>7gFEcVd0v>6bvTlTWTy$-BQ$*psYV^VMRdtN z9aox_6uz@agj3e4Z=X(e!5-iXk;_lwa|6m8iR36ce@2s!QlZt1Vor@Ul}HIQz#byX zywNs1#F7tZ>$xA=z+14As$yiQ5$A|deS2~3?eK$gfvRZV$3RGbSoI{(U!}DVfa+$=jT)8&}EQt1)_l} zrBzc+voFzDj(s|B!?>S86M<|x)2k&xiHk@dzC8!Bv$K^cjV0+%{{7P`)eEzfU+%Br z0BNOD6_J}ZnKO16G@#?ifV>LvPvC!`cn-gcv*{kN=4Zc2#X zWK(Lq-gz#_2C?XTxz(B#yiX^b8$9~V?4-!d;ATo3i6;n^ovT~hfN*G?2s3;cOgT}REaj2{6?v5Ua+EINHc*x&@wI^_fGPNn8haXK~_w; zgj}mbM?+tff|XV%BbpphkF|F4*Dpxol(+@+J5~ajd4^oj3ZbQ=1N8u=+F^379SFra zenpEHo~+E-b!S@;l!q!vOe{#jTDSVL)n8W#8QJ`b$=O?u~)uwCe$Hob+F$~ zimDa_C@p_mXmL(QcPIJ(dM3+I5v=H*3QESGEEn(5T}_>?1UWGJ9Xt*qi9^{SX!nU2 zuY7#Fg+87odn5f$qs}vM^xxW8S{Gu$@}TB7jOq(PqHk-kb9%r8BZ~U1V0k) zY%R_-=5t^8>izuufDlLQW~#G7-2v4Hbj4so-uv|44I9s!Yr;3-YnYzDqofX%?Sqb_ z!)cmvcgUI#YG176xWwH6ajF@=Usde2=Gn&j<+4V#mYn=K~ zK(H_`QeptX-rq#z#2`#FXN-Zz7C}3)dlFvAGEXy=TZmHXfOm&c<@R5@VhO0-d`L21 zhE}v;SU|I~pzsSEdsPJ;wM} zeOKMBttc~}{qm#+1sdywQ0O-yJh;x=cHcpCrXg1sA1+9_fVGv=CgpdMzJICB{9_|i zuPXE6btOXv4Js3XYk&IxX#ocKVQ>wY59M`&qa1{&8am;)`Cqo-nsrKdS>byWejksO z)I0u?N5NwJc|7VhbEV0J*K!yd3}Hh&#D6hO*)W&fEq&+~8=9j$ZNBT8v$fv6vGyxqOvhX^H6zLWOs>!{->oz*CqOPQ z7t6#)w|et2esA$pL~Z7i6tD=b0?5!halAc46t6VtBpmJo9$xEI1Ty|V{<|Rglc3il zg+oBmb?VmD<@F(&;sVvgDa&x=y_*ffWYM?tOLk~~*9h5MIrwSzIWH#e$F z*;hd|isqUj^YEVjD?7a5j9RS6#?zjqTx&hmmV9|b%!#5!CR4e967-ki>Gzf!pQ>m0 zNUfvW{~|Y?)=1)&5``X=@2ZrY;;d~kn`#FW{KBs=l=6IqMwfVTY8XUOM%_D@%C^56 z%Nv7%ml{Z_*ja7epEPLWw)6eIB`QpnvB#iH2@xgshySoLB9}{Vi}M{&mZ**TsVt4! zzNBcg#=^djyYQPoPEI>4TcYYY4kcGk#7%K~w0nSR6YF;PFPc|)?k_1~d!Z`nt&Hjj zGnK;kKXug@%|~TiUYB^OHZB)%*{wCCwl|93qK?cr-|^xK&pv36SMhPz&-fhn240~- z9iO^_#Ms>n@Iw7Zj~ooMI8522Lujs#1t83oIT+L){AVl-dE4TU3+12dLF2nQA&rCt zbbT<95ZcpK3Mrjgl|Dd8_hB-wC35#-!s~8XS$KQO*ZtWjA$%}wWor94Nu9MfIP;;4 z@nyZf64HYOuNllH<6V z47r5w3%K$if}flq?qFYL|1viiztU8hb51rcDdS{t5XdC`HpOM}Fx4q5ITg8INFc;{ zLE82HvA0WzD1fecUsKpq=;cyqCTHk`*lVUS(Ux-kbz_8yJjMHm^oHTT)x-3gnwzm_ zylmNJ|84Ee2=1=D8YYO8r*gbh$xEo*R%^8H+kc`&*tt(PrhvMICi&-_PMtfXD=&0g z3WwqX|N7~8PmO?FzE;w@mg$V*b+2Mt#kT14pSRATlCCi1j@upF?2m0Q!Ys7Z*HO2B z92^t!t@HjCAF3>=9Ow5ntbY>1*Av*Q{f|8@ai3$#2FV82Yq2xqh%KEY`v16YHSopD z4T37;g=hILx|46+u1^j|zk34iSF`bpvF+oT&=&f5?mIaj8A3=&OQM)C?gSSg(_c&z z$wj}b44U}Y+j7%% z#DYSdUhg-RNbZN{1p3l@P+k8;p-~@zO`y3x?0u=C-%nW zqW*YWBg~eI%I^DF9o~HLmQw#PwTxfVM_z!U z2{gDg+{2kRGG{2#8U5xh`MOu|%45JY54p0)0bz+9*-f1I2-Tv7a$qR$7f+#t&6_=? zC!A?vzaYXe;gqWS7h|3xLzDo|P%gW5*8QxaKaoGDZEUL<3*ChhF{n7RiaLcfEDx$= zbB@1QhDjg+gJCI3+vR1tuK?|;e>)I%D3lKddz3nmIoE~uVcKyO`PJxCm>M{3gt+|81{%!BaX61Qs#Fd~$9*m%Swu_Pyh}yXE;6iYimqL=lR$&hSJfN~t69 zX7BxiV7|Bv`go;1NdoxaLOW%wW`0>J?j_)mx`ur}EiEy0%ul1u(SicDkZ3<|{u@*5f$;WHH|1HXIPA746S$l&b^*^MA z=~dz`G6@F9i?F52XQzetF{FKX#L~W@qc(bb!DW31=3=`B?l7GEozqhfk!mqGScD_o zR`f8j!NlZHP6Y!+bRq<^CsrjJLnZDas&6fdi%!}7Mp6l5UZx_fcp9l~dqp2k1(QZM zWKczedhFoEFRvF6@P!;i+n?O2!bRRK@=0jyfw98LL2L#?+_p8@lNFXg?r($wJZwdE|QyK1B%StuT1d0Y16Y9Nw>siNho``qOCmlynk zJ&D|$PJ4SxiRw1Hc)1uRo^?yjcG!r@^f!~`K6>4|L-6pt*A1aWX#Y=11P2Wd9Tjx% zh)i|Wsh&IH8o{BRd3-M#JBrD3Ehuc|h5pNN9zw!2EGXlAY+wLAICnQUw=k(5(f`P; zdk)Ve;g}c5RH!pfYtP?qR)|eamc^p&MDkrH3_g@3fMRXmn-;8hR)0#3cU$l!m9iGs zm6fR?s5o|xlE8M~&GZEG_^nQ@3n|DBxl#+J-Ef&K-uAO}Cy&ukB# zDa?_~8Mp1m5(yP|z?ERN*1b|i>7(1+(~C*tp!&1XI}d~CDmp__sg$x|xPFJp>61qj z*8??^FrYx@UO?lygJ%2?7)Is`X&^`VaFHp`8enV<+7Y)uZZC6F5P8U|nq9kp-`m9h zJ^PwOz_}0{bwt?VP!@&4X+x(7iY%>mp4U zI;+_wQzZI@unk)b~^ZzmuCcdE5aW=(gnD^fJXjO3oLd#-k!f3zgk!PJrq;N32#x+jVtShcA9Q z3jM>3{A7JK#kkBvumIZWx@&})aFM}IZQ>ddRU|u8{PYsefCvZwZ(uPE<9(otFVHC+ z5Qf2@)3zYBh#w94-^s0To_YT}e}GRNspU_$6P;K^9$aQO`N_n_SBli+PF9K{AEhLM zI~MBbqqk}AHCaihv|5tm!bL(Hy6xPAvs>+U&p!U14u0R-Dz)y>^ckhP?e6gJy6Z(7 zfzGk9v1jMBu4qViWc;zP2p70dz1qL+)4T1>YO3%3k;XyhOp@MNiM-C8yq6`h#7oR) z0sCp-K1T50)aI$!I1=6=RWr3U!6%mboxZdE!%Q8={!pgw`3y7$1juuu%Q6H$S_6bMMg}=(6 z{U>w>5Br<>Ig`+9x|jN9AyRamcuM)^-o!hPp3vz40S44pOo2+)WH~*iEc&BM)R#ye zbss1n97t{XV*5*>9(~tsG7u+Ndj3)iH)D1Wi9P80V#0;z4fFyO(sjoae5i)qX(xM@ z%o=Kgy%*TStP%Y3TA(K0^qSUdd=s`euapQ9Hksh_iN30gAv#9_t+ORTn?tQ z1xDdEQSN93STbJ^Scs1<5%wJX1&v)tUti}3JJu@V&4n~^G*V;XF;LO)vj6P44^36kiimPq!hmNN5#EwGA+1dm8c(~63V!^x@uCI zp%L8e&!px@74`d9{{A9djuEQBhcvpc97y+}c7#Y8U|5n=m~Rmv8VWLSAwVv9w?z)e zw#P~LN_WXQkVVDuN!laI6l^_4nMJz!5>BIuzOq=y%|BwjOJUT(eM2vtiq?dQ)T)0! zQTFXji&@iR+4ZK}61o-E*DkSTH`MmFN#%O!u8S|o$PWhmSC(qIZ~%;Vm2i{CBDwrf zYwB3J(whLls+*fRS*LCOrf7@PfmPN>H~l9R`+3d?U-G$0!lA0rKuIiH zNtw_8Ma_0mA9<1o)$%EgXZYSsh$M|8g`5FZBT5@1O`}mZ7df(>wmmI_UE{Mf^nG!$ zZ*_IG!Su}%&d=!`^FP)D*FTXqT{!pVTb2ng~jrRQ{^%0 zgyVm1oV3JL7|2QXLY!D6MGk-kpiA>m4#tV0E2F|pY-nnl=FF1harPzG^5*D*=z#Qe zPQb$;r|W#mJWPU)F-_efK&!jgkW84AS;SnSr0I@<{$$+Kl`UDcc?>O5T{?1`EWSI@ zI8x`y_F3o`;cUs;WO4N83`(u!U!RS4t8L_a(gaVU)$?`|C@q`&A=}R+HD-<}5VEEY z4j_c+5@X*-643I9VnwvPUcE@>ahb12;&wu3Cqtx0S>SF+ykaiY;qa*hEb7Fruitxv zj)aeo4=yyz7Y)QEjjcilEGlb0IedopJT0F-q0QIdDMxZ+7K_uBQPg%hBUnHq$Xr!) zEi^JBC{BYCDT2xS-cNVkOnB^9w)x?GpXgax$v3%x4jd4d ze{-S9pqzqnx1VTE42dd+Z$le(?+ObiNE92fgw`B=@E~kad63Hf9?skX&Ky~V& z(B5Wo<5}!p>t!a@@1>Xaqf6iBZaJy$XU=KWDYfwOBJ1!(2FS$h?7f^_(C{8;m+ zcXbu{i8?dCB60$r(mV9O%=uc)=VIA-EHs8ro@{O?bKZjmJyK|MvQBgyU8`ma>azaw z=_eg<6Xkl~Qn_I`w!NcYJKiX=+A3z_$Fx0<{1CV)^yJEaSq7-pX7?z6UOezUHVAZG z{zh0gv)%f8)B9b9A+U#)k4BO68Xlfqe^qFlb3)K14);8Bb=|F?d*8OZcB!SPdRXm% ziXEJXa*AYP-kGkfElHZKl#!ssgiM2}=T_JV+8M1jFIai$K@TF22-5|oDs<~ z4fBe?Q+W!g4q^ss5i5k+3M9gw0^9^GDkMm~w1OFX;Hh&q^G$fbPjZN~XlWOwU%(s# z(rB!~@logD)}3w|iEJ6w?*JjIqJZ${TAknFc=rsNO`s()dzQr-(wW!t^q-~NYh1QU zkRAgZf<_W<0&*VkB|@Hleou&pGuV}$f&+ovbc6E~X44~$)%R)fT!lVD^04wfF6Hx+ z20Ac(>x{YK)B|*cd~Z$&svl%-%=Jl&REK+#^sveN>HcES0eF;1V45l2^tsi|xGXfj zgm7!vlMoyl<=`OxR*8?2RG1=D!M}rq8K_9u_y;#&33Qzs$An^p)H9MbQY^y|3@tM! z;hIwDThLmgl)Zn_u4T<4;Kf+%IChyE$(L0p3l_rd=u;l z|3}DJ7`w}Zk*rqH;bjUkpN@KG($A4mbmL$tpSNhg{Gy_Mf5Xnzf^VYAU9^*}Ojfc@ ztLOJ`PNjFr!2+~_6Y>coEc*KU-r`|$>YeQlcamaQ+!fjiebh7 z+P%%On5?J7nQrk(=Dc8=C`WP}3%d%4{SnU!&TF)-g zaHLF&`BDO9MbjM6YH)IY5{RYz_#kBYICjb=w*>#jF9>&R_tF{}Z{R;hl`p#|w)q4y zIv-ePc#-OHHWn_HB}mW$4}&5^es>=u|1r%Ckqf3|W+RSfdZibFi$sVWu8`7mNA%^p zxoi%Ka`pd5(^o)6xpr+2-AGAG42^V)#2}4yh#)NzCZ#kC0#eeANJ&bADBX>KfQm>; zN=Zu!|K@!EdzR}gm&Gvi-22}9+E>Kna3K)F@0TUw-lAR&ga3y|{TJ@kO!x1GDOuQB zd9HO+4@Fr@&A?|o?{`m1@ zuuvc}mt`a+dSad{y-s2imc#gpw5AzS~t>A4DF6UfO{coSse*jHrERYoeTH1Vp z)4AZ;Hmv$W>)lA}(m-;svi+n)&PZXpB8*8C1KcafABs+a2$MX01z>)>FwNE_V`hJO z%Qm*snM+sMU>ja4+N@xZ(+1 z>ZaCnewPD(t%Lbo=&}Il`0d6Yfgh;gs%LfnN{M}@FE#T~D;@$7EqB5V#wddFFc$+= z^r$ZL^agzIKJ%2Btz2?DVGT1MVL0?FldQTpUSW`%Y9`tzVadU|&V^BeMbx9$>;2{V z?YptIJKGkW*?9331a6eSt#xjtihC!jyd#~KZKbS_$_q(?QAn66x@!f7E9P#|VHviK zwDM**lHmevZ zpWNqf`CIguV9v+tz_{fs+5uSRTgpVH4RV6~LCC7lbO=hBOj=|(UcN=-2D6*Fe0$d0 zQar605rB!-PwtHOGW2z(m3m(6S&cIy>UGxtcH1B151sz4fAa?Y>*y#_7LO^P3mw6O zShPNg&RttrAg5f|;di~S-2@OA*sTGO1`1R-gWJ0Uf^f1sK0X0CE=V&lq0Nm;SIX}` zKbP~FRb{7$4So*mk2 ztK-Mrm+Jf3zcAA;m`Fol-g*T+u|80A?b-Ad<56!A`^XqG-H7CEG@hDfPe2&WEELLe2=KZJd>VZ6&t z0nFMguwqr!Ur2dTQ&|~cCB$7Mh~0lly%K}#2nY+X{IX32MAG3ztb-|1WnR4oW}Gl* zaCdGD0TZ8C9?3RZuYEGz8-8a}K)@+8Z{X|^qK_m*sZ@+OGs3!kgOM|I=f@y@86^UF z8i`KXniX-)HxZjno_&+(>zMXpoMf!&;RpP)p_j(xVyr99_9Odgk!f|n3S_EqW5icMJ20-Ak!Idl%^`a;Gnv}j z8$gJ6)2D1ZwcVQzK}WokD#=I+CI`yW)UeN4KM2xF>$8Oe14bnk&CO8-8D0 z{IyGZ@C)RTU_}U<6y${@vEmOo?E2b4#;1@;=BY9wUpcwipB2#Y=9J_pb>PeLbNTQ8 z+$@GpGx0txBfj|FfkHdEne*+T!uWyl6Q8@-s6V+UQFxOr1V>i97rPh^gxiu;tvUt7 z*dZ9Ndp>#;IyLi>RwC zXYpFTsoUU%GctscGs2A-fOx1#)R1cAHb&(1ggLf@gnJd)KAw*tz2IbsnD~dXdPTwU zk_$Q~AD34hzsTw65MkHHG;ou2%sS!uP(<78x(B-%nQ~ zz0Qn4ooRF5$8_rSNY0{e%Yz;V3NaIEUn6@ltcs!P6_`oE!__%#;L_Pr`kogUhe4|# zDvg5f32sLWLI)?!4l8{i{74gbkiF+RWNk{rH-kob_5nQZr>CbtFb-9D2R)HZ`&*4X zSoh7<3jpC_!n3xEq;FGtlSEnQQwG-1) zEHcCtiVWs*ssUK=u~bzn(4qNk_y*#5__e;NTV5l^onHm6-BNu8A5q3i*f=1l4XOXVpz7m4# z1>241fAar4V0+<>wg0e7`C7yZi%{Z6-;=RS>W{PDGkZ*C^=^(ch{5%MLdoij9a$Ru zSLk-+oM&rc$QFOd_G~#Vt;9*;G~>4J`C!1+F%=#i4i>F1Asdr^ErKqVvxf!hp^||N zpoG8-Xx;y3BWhbkM0NqURh9k@5DK2yD+e|=#&fdxe; zV`0bRtn4gp`Jj9J9?8(OPF7E2zWA0u(?%K=>QMc-Sy1JDdEQRlKX=PVb3UUGR$@$kyp*1+ukQFVgZH77|9RtM`Gstfj@FqO zCQuE+hANwz5PY!NetOOx>V3K@}p@Fdb_Et}SMbu);KN{KwrjPQwbgy%Gu<38o zE++|vcSNIq~0+^XDq(Eum}QgEReA~D+kAf;6NF|_HS(1TkUOj!VF z1610n8rG+Woeh^D91`1x-^LXU4G}LIB7vTv$r%VO9{dCl=RW(#Q}#<}u(F{XW~{0P z=?r57bk{q(W~hp6yRV)C$?;+$m_7+5J1rS2tce=dz=~$~|2~*2*AKUMmC}?bPxQG| zb=ad<)}b^}W$W$Rz;^-h2;5U5JIjVQsR+ZS9=p04(Aomz2%NaIeCtP#i0p^b6=0OMgs(C+85CpB4_{32g z^I4mBl`oKh?ioE(zgYNz5+hvHK#4_NNwhgSI24>>OyQ0@a+v%`jC-U^{bl1Y<)q63 zjn*hKjKffY-S)4`4alU?w!GZ9%H-dWA&IFhGOK5%$`4O#iP|9Wd*vFZprb?6ghELVum;qv>oUW&VT2_v+X-axozQqfqsj~*f1{ha+u7v_07lr?d@ zM1SiT;%K_};~>$kMBjvnVat;NhcJ%gra9%vYd)J0wh*;-N)M0)6b%aD|ZtF>_7%@T+W9dQX#o{dDFRcX& z(t-ufJ|g!x+geD084)+CEFTX|1Rt(O;gKJ(&a8y4U(5aq_6`w^P`U{YQvDQUlE5L` z*2(r3S#63YC)7+499vWJ3#L4ogqlI>)fLzhy;I)<85caR*gh-F>U;Bv!ONZ?)if{SZ=*Q2B<R|Euq8y=X-a-3<_M_0+^2im|MBzkJVwX z$GM$hKch8Gos$Oy%63y_{|$Z}hwJJ@bNf ze(RJr={?a=>J{1W1C5=lha(&Rq9)s^nE&1?=WGCiFp8z>zP*9Q4K&MSvWqk6Fbq)D zuQGhFU&05|2r_HPObtCdo>Yz=hL?F~S}<#In)v-p;byHd+#G*e{<}H!?mU-#&PC&R zXs1zEu9;`ao4;FLg8N}}_4IQZEyyGQ;lzPn7#aw$J3+eFJ1^kEi2|xP2+}Iy9rMr$A*!Su@?)S89S*}q{A5>yD0KU{!cl8 z_;F28+yMcC1t%(Vy&m(H$~!&KBVzRb_+oIU`~C+w5~peYmSbXJ0ke~n@!iRC`aahv zn`MT9Rz^b>tR=a+mpcyI$V<8<@aFggk_WOa%AsrAkr`NWX@8#+_IG9`<49;*RKzzR ze?Zf>_)ak#^dGacJPHGBzd{b3y^u!Z3Tb_QC6d#!+RYx=KLf z*khv(W%Yi%t-3R@A(wQaBL-0I0qLiFcxGVC`^&CtO@Wpp}x zx*j>&+G1MtKHTys*ive@3G6eD5AEgl=zNw%GwZk}#b6}8a$t8TuX~k+B9k6<%2bs> zqBw$Mb_F-EeK$AA=lkcB4zm8(Ydx{{wsmGnp&p!B^<@zI5vs-xItd~Wwxn^US>W@? zBA(mcA_+#gh6etjEw-j9lSLi>AdotujT@o;Ok~-U$>m)!BpU>ui2jRyc%DUXG};VS zh4rcB4>K!d8)F8Dq<;PyvBP=WaQu1QiVBjP?iQd77+$@MBq1Gu#k4ccqr&tTMjY5( zM5{im92hq&ue6rdTVB$3Je~fJ7N;#Z;>W4uK=!6C@ol3IHN>L^3e6LqDAIGc7+1aQW1<5yqsG|pqv z=_e>s$0)6GMFSOB<4k_9A(_nYcY{z#I?7EUkRrVGHkX>T;$7&+2 z{!h?y>yo`2DO7vwGfVS|@Nfy(l@h=^gIYuVUX(*Q;kGj&i1)fEL$a>CD=2!$g=PO; zC@zaGfT7>QL6f*qgeWu3 zo0Cv7{q**zam#GTlgW0>dB5CB$%Q`zYp@sBFTx%ZgPE?YGbO@V1k9vfP5*J>?rZb(Q6XE~TB_^nc&fNCHL*J#9u6%~6XRA^RG`<# z%kSIU<3XF>iaep*aj%VGnGB1-ON+z{RM;s@d$LSmL$Pi3o+v;X(^@I|q&9Qc-NJSF}v}C|ns=p7RULgcJN|Tox}Mzf)dtp*PQS z^bv<66^laHXWxUVZ?Tm2_k>bAwA+UdX8b*#(M9(N5o1j}rUp}htJ{Sm4!~1aLXvxu zZr>QN|L%3SD_)DpWLB9a1Em|W;LA1Y(O7u@q8q`GO+1sRneBN%!IUO87p>*9`N&dH z`fWGdOT3BU#NU4yR~%YL3!f?{kts^yRjtj;Ykt$@X%?BcsW(Rj& zm=Y5Fj@yH*cMYW9;v&@7=!tQEOiw4;2~iQUz8QoezO9N+y&cTOFMlsO;c{+5IE$KseR4?3R~vK!XBdEb z6Vxio(`(xV@ch0SsnS)E!pB_oq1VECY>0;=nxyHu)N1LSVq`H=D*OF=wRAg!MtsB9 zJ@=vcx#WYz@HoT$v4`g4!3@NHTq`J5x9KJgdrbgs+qbP>GPT|8afT3CCtzj?e}Xt% zOaufMl7e6emVl~_3`Z=aunE0W9H#_SQCmGlJF2$EJH^3WUCJe;rO@NwMx_FA8(;w_ zNa^zaOba`-z_2bdBm});K~TQqd{#%2dwZIx>i*69{|Op5m% z{QUoB^!v|VVM4j~bu=zN|1eW^-b3GpS5cz6JzJ_e7ZswKyI^~lHyl}_{qivBLH6V( zBu``k?HhnJPz?gm0&4*yqstzWWB4SAyz|1)?R7qp*`Fd5GD;^S>Q`V_QR4x#pB1_P z&z&!Zx9-aSecOA@LgC0xWC@T*Kwd6!A-E%8_XgMoR?&o#djA9g;o!^l>WE5{Ra!iA zTMv5?I-rKCuHipQ;G29{!|Nv>wV;-TXu@3BsZ}eVIK1Q+!rBW|S1`l^ zj_1yfl@7bo5A~UdI)G5;zMl!4BEG(z;lm8a)JpAd>1Ff$zQ5zotnGxv*Hj_xzS#g> z-VsqcD6=wFehFUe3RJ!Y-A zg-c3DD<%&gJ%tXr#5HV9HTOG4MhH6nT-cuREdp8wR{oI3`5G!}#P>`l1wfKUYY_M` zt(z;#m4RprnqRxuRO$cFzwf&8AxOIET+irSEl4H*|=POw~c|ro}A&}ud1M55~a0`Zm zi&h5FUMP5Ju=7{kDJEd)e}o>#+Okf105i33{1$HB%jzl}?S{T?wwQrTgFCoW%mz&+ zML#cZ1#biQ$qVl0EB<1L4`dn4?~mG}!i@Ywv#48d8eLt}x?mWn>fBEG+~d_01&ZJM zJyEPc9ZHdF0Uk08L#f@T@lPO8+@Nufc1ZV&*jZo*(t)%a{}C_pJrb)1P=KxCZl$%F z0)8lIthB`QfNy#n{R#nnUNnf4V4&=03CAK6d1jX?XWJ&?82Ne3R zLEvLaNlBqvW@*ZqNeyAh0j~tOjEOs9Sm#DZEIF^FEj7RyPXW2qDwhIP=|FGS-Bzayl@pjjc{&ZXx#ZR{gehg`T!Ph zXUyr*mZQK%UW%Gy@8bk2TsEvDq7TFYxPk{Jj`M~084ufBA6ZT`2}vQ{@Su{AM)dEU zTUfUAeQ`CnS_22K@{HPk7BYRi%XmTnYXRUcSqp<~ZiaiG9ElaggS4$dkmciRmGs5T zEk2on0G}n#ccUGC()L-b9KpN`!C}CmCe1wXFUCwii6JI}u1)=-QTQ zSL>tfs(Dntg9H<0H2D#DXq8n}m;+VtegfA748-9+2TFT}=Q5poC3O68yttaFjvz8l z)g%lADl>o$%<751obRXo7#bpVGf(~pr~~^<1`~OL?w8g#h#5F9Zss&7{qg4*xSpEF zpFA_-$dy;QC*;LyIrqZH@#)N~S0>km4I9U)ejmTI1JS1YfftB24`DyKEerJdu@%)` z?UQXRdL{whBYQ5xqXkG1Hy^(mwhpRTm{5hnZ@wjkfvapCdg1meYa}hk28`iFVTeV~ zMB?|79COluQwfDiO<}UgVj=2i%1TPW%;Xv@bKw)m{0@j8SfOJ0{GRR!P=_i30=z|` zzYJ5EK1^LU!m;lR!Zoin0w)^|LbxiEiC%*DRYDwi3jrU7A0QBfVt*Qe_1aB368PJG zEz#NqfeeyQp#tMwI%C2nBb{8VT(V{v(NzlctSc`Dx87etO|L3@SskmkGJo&H5*t=7 zo<>QUwvNYf?U;KHgQxV|Xx?qw#U!WW>?>{8%aM~m+YjqbrHnNRMA@M(tv(Z@SB7m^ zclRryz@u4>JlJ@l0rk2hfeH%3#fOQ2v=)H!j{3gDe6lE4)T06g6EN+Lnxo-6!7%An z>0jA{l7ObxuCZJF33Z$LZFPjNh|LkbfXqazbM_3VKQ!`y$%x~V{jBe?jh^(|q>Gi= zl^vvqf>R(%BCud-?e`?E^V|=o;aT({;dsEuMA>f#oQYiT*k!F~*4e}0Hid;pPp^C` zpLiV37t(43N@p^Bv`?mi4rijX|L(Jp4(pVB@PK2RqvvpZt;W@=+%Fw1Z-TNVo%k3D z&*Y2-Jl!8#CLUv^h$KNp0f$mpJF9Jg<%RA9Wmr(|ch3y24B7oOg#umTYyfv3+O4E}6@Tj3@ z9<#zSllzEm6Z>yWXV?hsMQ}m33}X(w!Oxgea~LgjziTeDWsdFhvmunIpTdh>A(q86 zVGIH{E_ES}>i-jsLYtIhQU31RLv<0Frsn{@RQSUIg61B5%eHukUYU|=9vw>l7fLHM z{&7O9<*I!i)f0ecwC{pxI`WMqF%}Gzu%CpE>k_h&0ev~BiI}3_K@YU{tr!^Zyx_$L zN=*}h(XDx>i|aFKnfKCY*8QXfFP%B=fiuSw3wKxNHF`3GfL~9zV=%L3m~CVj6(Vt* zva}2?GYrC`n`v5}pUA6BUuiQo+~^$mp~raktO#rIXM@NH7p1KjJ-BoADc*x1R-c}y zCr40*O=ySc$CCyg#0riigY%QM(dALN%csF>$U=rH{syVJm_E9*+Q)Ha>s1c9s-%aR zW$Q3Ufh>{TCP5s?gwSg{eyELv)f2_a&#gn{_Pq6ap%~&0lt41H4l)!^NT)=U7B1H7 z1<)8YwYhJq$?q%G79aJNB>s{n6(UCd?i4CyxOK=`fi-1=9b0-iYC;2STFS{8W!5X2 z8ibeu4NE6a{s&<55&3C+!yo-AFa|F z)swiZ;N`L7-Dn)+sq!U6GtYPz%ZvZHAcL?-8Z0GZd$Bfqd`vttFkFCo zob;eC>-F$Y0B@><()L`X#P8Xr?;ajKp0DPD@Al20#-dm8w>Y_oqI7_+plJYN5s>y^ z+@p?AzYu!Vsi_+(57cdutoxR&*2Eacus*S(OzlZ%8kDn~u>A69SWIhzn)ETS8wAX1 z(U$}*NEW#4|8DKzr;}wlViblG;t<;S;qxwkj{M}^^ljq}9=V67?Eh9{&-UsKD3uUL zR(BNjtI6Gb_sv_osLpl}cge4rc8APslFc-|2IvP0m9^jt#=-k?jp!>{&N~;?hs$kM zGxokKE9UjHe%`aE8!H*EG@Ijb{0u~s!nk~an^L;O7@tKrUvshYuy7h`<;SHu=joH; z^aT|Wq^OH@pyNe;SYy&EzJBuhao-z0bCbz$P4&iy88yjcr<13XTc<M8yiz8(Fx>Uz@nuWWeh)Q5)oH@5V}i26?TAYP*J|7HGkRgqb-QxWnMr3mo?Ulmq@ zT?P=i$jkNvGBlB~bFkv4eU(k!g1P^h%QuX%yNXX-_D#VPB1*L%I90Q@FYVGeyKMB1 zm(&uPQq-b*?n8x*O8^NXyt4qfhm*6;NVIc9x`VnE{7xE0yTJzI++Ac!*}4V=yF5dr z%2gq(te*D9Rr@XWG@ZCQ>%>aYEWdN~cghEU<@T~LY1zXR-$SzI6RH^XMvS?lMM_U| zAMfRVXe$*(OLOx}%Q;sy^-mOYw`WurE!qVxqXenBUAQr_k+Gq>eV~=pSY~^is`4&- z(Hc_>dbchlc{C;}KoP!CPcDLLRamA7Nl`Pu0ZS+!m<93PXH2u$lr$-T=D80!Rv0) zP=%KwIf$5VeCjkaMJTJAQChNEAL0v%3ChR!)p{8B-QZ-2K6)|OLr0Xt(;6*Q)%@0O zZRxdwxfm+K^y`4}?2C*0syook$VS@p(gtJU<1A59Uv*B5vqVZ3z znb!Ah{dH+vPs)jlir7lW*8dzrs)ka5+#2<};LimS9*bWvA4c^2tWIPX?U(hnpr712 zH1hFA#0M4_dH zye(jR!{M6Tmbs4@RaAQh>R%&EPR&V(_<$S?GXdAbY4^PYS4%GEQ-Y*tQ>~Q+ck`7; z)Z#?v(=(QZ?+Ou9AFP#+Bgtxh`+1SL^a-=5BejsS14v2IT2(=m(%}2)G&?*z3Dy^ZucAemBhP}NphKS4)2G-%Xy0LSIP<##2s(t!8W+Y zlmrD2X)TPrR~v4j#Y}9yGYWj}fNi{K>3drDoeuJM11$JXjH>D#LE;>PITf;cg&}8RVxsNP zcPK-40G17yLO35NCK8X9d&P{#pG!zc2oVQD{0a~O$HcTV<+Mug7^vg{;fc3~51yaz z(?A})x}cKg@A+iLUe$*k`vZAQB{=OB876pE_hLiiSl?|M%VJ@$xBPB?iGxBY){HQe z3sJUSA6~?{i;C6ny}`dK?(&QbwQ8D@&rhGF%)eH*p19#J;)Sa5?sWT+cQtDJlkxo7 z-lRxpi3u}#R6X`Df;93hdpFFRQFJ=O+V}2$H~58%nZxi3GBAu{;y#4@j|=db+PV!u zT7Wh{A+FvGMG;NtM>gBMGN}XRq$=;6`TF$#@VA>@wX1LDD2X>Mm zZxhopa7>At;uto7nArLU;D>2t0I85Jg6bD>3a@%!gH7t%RxVA<@E@rmgEpGx+dZ__ zL7G)zQpGxd^#O5$2#@BfQ!RnBC0W|TnV#KEu8G=XstKo{su`B|bR`TEkLE2d9+nt; zwU}Se>bc&;Y*GBbqfx%=RU}#bDVOAYa$Qr-tEi*pNjJ-Op97PDqP_I<;~M>F>)jVj zkVfEUzA|(abe&V|c_7Odd`zJ!jJmgY6Vua>M^G$Q01nH4{s;hnfiNpJEH>pcVHOKf zJ46{%Ab}|aB3E^ktxf)VeGb=cDtD-HBB_O4zT8y$7Lsvl%brXyzXOhU89GOc+s;H$ zZDZ0q+|xresdnbKc>6QhD*;V6+mSwMp>VwGvnh&NSUQOy`RiHxcgeZUmTji?3EG*j zY}>v}7e~oOvduc|6scXA<m{|2r2sjZkmt~6n?UXc&->1*ak+(2p9P4Lc~7REn?tb& zgKcPromWRWh&yyu-c>zQdg|oi(d#C?G<0(-cfivt7?a@e$oU1No(HCw%P`Suj=?Md@wEU%uhGHHZ{+bR z*C#AUlQCQY`u#}qLg*nX8I=BhgHlQSiBIIsV15qH zz@nx;uhKbdGctz*k7`nBUX{ZWz{eUyWS0$$ImN#X%*TO8qp`+8pf;KwmQXmhDg=?f zF9;$~DN4wYxW!ygl6AmC7-}hdQ?S>eC6^RgwZ)BWcZa)>lREIQU;Q zdszgqRNe|dOEu!`5bleVK@8r0ko0Ua->E~|-hX%VvCl9+yTl$bgSl7Y_iE;|Itr93 zEfsPrHu$61OH53H3f8$mpL1Pqr6R-280cPOYtz2r+OlGHE1Lu!V%`a^J?9UYKSG0? zz}?3&P1?>Tmw)oy4Xw>?2;THgm4>{R(RS%|LN&_|RD>QqT#})5(r`GLkHq43Qfzdv zoy4vMuiXAgwOsT(GY4NTcyE`fAA8=2?$Y&{;j4yNp%`KMNEbIZv52bzR0-JdWt?^w z)gPD%sGCEM^N2$y1gJoJhc*}*{N>cUw)S4*d)#K?x*&aIRdw~dxG5kcL$wS)=E!=J z&J525xB~w%P#}Yu?At5_b#&P}z(qK{01Q3f9Ip23bP!L};91yZ!A~eEV#G3W!%@iM z9LJ<+`Le9R{!~!ayw)k;bgLyZ^WQ|KugT0ay$CPbh8QPGW+B!_7m!rzD z4L9)_$la3Km_DS9wrE6kFji!4I0xful}5`26f)}v2H0OG*!SRAU-Id0O#7rzmgsrq zeaoL+-%MzDMN)mbK4R!%eKB^iY|XjwEFH&0)W2HG6GO#e9@sEs!N&kFO!jID^Uc(P zWxChC_-HS(cDjbf8;{7nMcOBXh)eXMCI7nDE^ITL1wM!zTVVU1srizudIb_%EROv` zGlwoicaoIT^Bwy;?=0TgQ#Y@orO8537gq5DZ*J~~js9H}CSj<0c`g>gsoIPr7^&+j zF4`dt;=6#~X}A#zuGin(25;xHvl8o$$?vqrX2#aKrG9n%$@jt{g{*liUbarjtGKiF z=KbQV;nuvjg7WWCIe)by)g-jpud$_R2t7U!VzX{1U=V#M{Pa)(OCDd1&%Q9-8}r$Q z+_>ZRYl;@eog0{j5Gcyf@tLSlm%DI*lgK6YrN-A!y8Xf5*m^Xh^3q$XE|yZ%4Wzar z*(tR#@|XX;wVj8dU}9>@kj1F@8!UCWE%Sk+v>?^Lp^s3Et?&E$yI$^%ly(8(H-#vpX|x?tTp&$Ei_LrfFS0!B<~aY}f#f+M0dINl8$CA6`gD0iWJZ z`fXKHQ)%u!7rB0R$wZB7_vInlRs5g1g~jsrb_`&Ju=fSAe1M~k6>l77UD=ZO>>;=q ztW{eydc?Be18k5tw#vi$y<^s<3RZkQ(rMi$uQxc-^CA-5fHrIByz6Wk<8Yo@FIq&*mlf^&a!%W!2N zsM1#GSC4V~S^p}wd@SvDlnwT2pGCp=I?phpbr&JgbI7RPx;0P*FU1Hg|CzcOf+Bq6 zE*eM63$Re5ig2IeRD7}K`1?NY!caTquDxy48a>^~C)SHtV+KJkE?ePH+B=jTjgHl#}Tfog~2MfMEAikAZG-+_gTZ^P}3n@@X@6y?NaaQFXt39>$QLFj_j`48&1Ta)d z(R|n8P1N7FS093w8@519{%6itB?S)dM(R zwhj{b14(#u!`rkt<3X0Q^owo(sLd*C(K_D|oX@T@s8SRJ6>(}oMPc~+SQ4o006wI;G|rc`7Y#7a@x0prdsA@X`sS?`C@`lZm$?F~ zb-)a8TH&LItjo_#sdon2m4_g1MH@PPqHxbl<{kMs*BWT3_vTjPovfes)tzV~v$bW7=C><#W&@c>(Xys-SI+@cj-c8XsYvTny6YuK*zzi5nQo-z%gqv6`TD+JwZ z9(8|{fzSBjIXlOOLm0}xj3N_-;lA9WIcC_AcWhtZJGJD=frT0SHq1X}%05pgHn z%T4-P*K)#223i74il7C9na1$eO5VDH-J2$>t0SuU+g$3sHxfdnF#M4r`jmqg3O`kPB)#zsLNK?R@^? zh<)qWo_TK2-G{~)DV^$c%LMDk$I{$~5#BpB#^w8>C#Dmx#%=yAEo9%WgmVJ+5| z*-QcEKfhC(Mu>5y_oV+vNG)r`gr?H9Uf>K3puKk|_5&ot#4!D1FfN1NVwecf{T z8kaF_L-?&$e64M(*ipS;{v+al6>ABuFIaK!$v^@JjALF+Wt=vny5MM#=*C*YFw#nd z5~U?J^r@*ZvSlU+1y2Leg#Z$LRg#x8q|Y|arV{kSw(jl_WuWtJBx}S06bt}g_0K9f zjPAKmVSs)v9FrDC@;iL(*IJI)e)r+W&%}(bf2?pN81kQIs)-!34m>^Yu$TH5_>6@r za{H*@&r-j+C_*iT64OSjrz}p$NMKXXYm#m%_BOYjbyWR*oTN(b z>g}ebunwy}{A9`x4YXZ9IPUzPcl(?%tqiC;)B~1VF5I@*vNIyeBhXhdB?yItTf;@yAMyQJ%P4T}cA@Z@6O=}FO>%2|8v1;7v)_LH`VF|6?#SI18GM_(1Isqh%3oe*Q43Cx>jTV~M9nfN|BlnZ(fBXE z5H2J*G&Ly*Dy*R@KAic%EqP%->N#9po=0icIM6Yy0N(?zts=-Z(lVrE*P_xVH$4cq!jpIdbe1;s!uFX4J{Ea zbWIy(XCtgsgD|lb)ziBl2elrHPCJU4>+t5sPYt_HFgCBaLWN>#_Q`l=<`Md?gI;ga zP8Y2{`Rn(?;5)qGkA`hsF458*;9!7@=zB}=BFzXi;t9EYOJQEUMr@DL6##Tsd6w8AT=AqGS^7*9JuR+BMRUZ_V&v?=x>w{(E*<`LAs9uJ7J+ z+E)tYql>@fk0{PP`l}N)v0Mv`@w7+w=lAM#zwtLh zNY2Q;(+$6K*7O&~7`OMDW#-qBSs`K(qv-HXN56XfYJxnma*@OYTwSyRh5)u%%zd`1 z51w?H=<7E4vRkSwn$*?_pSiw-xyPVA<8nY^LUqK-mw%TJ^oKyjHB`vLAg{giuAv5uj^GvHLttZ-st7#NBXwMN1XmL*S zzZ30!c~dD&2c^vg+}(>J8IBUXlz3r<(-=RQ9^(VXXWqN#H&ZohophHD`efZF*B=)A0P-ee!_*aGcGdH!vHVM43+qQ%^ zILYts+4%)PGT3F*shNN(H}<>S?k~IBA+pVXYs!lZjkLz#OMwiP$#an$Jl>S*%y6H5 z{<*5f_zcZ7S~uhO^j5$7vEi*XS9^o8~f zj>pY9fTRN80};)hyNjYvx%c*0GffG08bS=D$0jb`)OYKo8Cj{PURUk7VY)Ea$3sCp za;$P9HeJ#4ror-^Zqe>dhOL|%VefF5qR9%>Us+m|UB44tp#d-lG#~s^O7GdMbfp;W zKw!G}~(VmR&Z$MOXYZY4p{}5dpS$ zAD>iz{HRhe_N$xW+2Y(Bif)lGQ0*?K$PQ3hls51s&lV@8cA~0NUMcL2V3Gdu3MyLp z6)_x;-!?_1!+S?H+fzqRCp+1^1M!i!Ru+=5_KZN z9avHV7LC1d)xjqb8A-zAy&=p2Wi%cLOt2z`6%xi1%pZAUj^bJ%*9O7^0QB|WagHdh z?yy_53eScg@7+PLc=~3fa-8cUuTdVqN*64*H78>EnnQhHTAbW+F;d}nl=&&jJ2pss z8%qdDzTYk#&(hh`Z}7+6$1i&^c76OfID)CcfUNp-rQY1W=D75-kJNpS--8?kCZcGZ0f z)t~*ml=}N^N(z1@DCa*OX%OlB+YUtzz*O)uhKB=~MgZ7AU+tWG# zz7x;6OCuR$5qhzC?b=17BI5e5(`*9n4IX#-$C0Inxux zSFSqqY?7_6|8DL!s@AdpYTcDeQf4M&HpsQOPTRI8IFEyZ=GXhxhppADu|40dytA{j z!GVJdgChp>q(0nGs*&JC@o?opFDdezopF8(m+0P93lDRY$ki4HSkj~qf1S5 z9FR+|ouArfMvGAp2ck0^7jUK7h?`fHYu%5%Z;TY{lD6A6nv9W;Ja3k&I_@ed%|D#S zLTZI|T0vr{_;mUBI&Anr*aBh<-kf{XU)q@<{!W~Eug@BJNFS*p6{QG+1qi}m;;GrD z=8RBlZT}?%a?T#-%T+{6XStI8tIjuz@F(EkNzCGqlLJ)t`0qWbe^{Sf-F6T!(fiMD zGn&g~9V?~o-w9iFx+OxlaK`K(+`4!55wtF@^WMW0;Xz@`ad!zA#JC%s-;BT6TF!{} zp)k9+oBjeB3#r>yrmPaPFDN4;PO&p|PLyIL&;Bvz?$`4VU5uAk_z!zN2%TO(PqGEcNmF78FZZ%BbS&3%P>P@C)8#rJ$KxOxV!yb&7 zn8*jCd~xDCiE&DemnSzPm>-YZGjHou=I@XDu-yS-=#on+Jgg8U39d8)Ra9TtyL}*V zTqCa?ehEebfMCk5?o|Gqn(D0LTMA&ekcSQp_`{G*nTQR{ocA9Dt!D`;zHS|^zG&c8 zzM|`=2P`Oc0w@u?xL(pRZ0Nk+f3`c2!s5le;|E5i>V%!S-eUAT+uFHLU9Kc}hagZc zQy2$nQ(G451V3a_0G;Pwn=IZkyx42b>ASYNFt+C3NH?D>sQFtPt3IGl2;EHMH0~EN zEMvIP5UyUPt(eTnDj@C<*L`iwrkh{aUX_nw=5pJxw$DxzdcWyJm05y zm6w}Bh|m6*31hy?QoCJz(S31-7oMK>+;3u$aJ7RwP!ZD?eet-fi}ObnVVevUxOX-Zilzr)3kCy3hEVjjKLCY zHty-+KErf=>0V2EdL{YEKb{o^+$M`?fFgn9AfG}&D=Fw&-qc=jqDPFW;uY$gMd?7F zoO4@K{4Fh83h@X@V5?ZzPl+h&UCR$L?t*Vwt+CH+3tw%?zg&=dsK7PD1Ye`S#N>7E z(l0v`YB1B}SHn?DNoG23E?<;}^9_^&{aDWUu-z-8Vv*2i;i!f6z%A3Pp$nQsxTUP@ zen6TYI8As`J$drv*Qp#l*bi$oK237CKct%`K^4xFGW88&9$qYGR`2|MQ&HvYWgPwE z;-|89%jpa4mX*lg0o{2zzHgnxUdkT;8cJK^9h5`;)L#<-)4Gg;Qzb3+{aP(k04QI4~D$)XQHdoYR{-W&#DjauTa$1_tZ+Z#pTIKg(mm*r)?9S!8T)*OkE*% zlg!|@dLjccZhuMj_?u%1_$yKHpZYAgS%q8BuxJ);!rBeMgu9CMWqX~JI^eVI%&2;- z7fM_TG=U4|i7mLtfW_Fgivg(SgZuXbp?(;*oEUNRY#g2f!0@#87cQ_nHR7R2)RtW) zJL2YGCPnq!2l1J(4qj|H!A)JnHIv*>%UCsjjt9>y@>vcM80er~L922Es@#^J)9RAh zac{Qhd}U(Iw~LI&V4=m({CvzBU8FETCnEJ8#n&;76<9QewD^4AUh9kat9bH%&9BNk zo^5)cnGABR-S82bUI`h_km0O;4`6`PuRMVSxT;~n5KIFG-;XEdUX)Ya5XfTRwmFv> z#*K?xyzQCqnW4%VuQ!Z{Jzd^AHhH;_t0HD2`ta}ZZl;Wqqc;hc(Jzu;{A#$J?{Lft zRQ0d?qH<$$a^F^EDyWf}sKI35h!^x-Wg=}k)7n<)v>}MwVefM=ds4pt7;a(+VqbcD z{WY%dhoqe2p3oZ0pA#4{8kmfB)}B@@=fZMDPQsRgKHc^u)$#*q(cowb+|b z!~LZ7$~N{u+O?Oto-@O44y!C*5#fdSxICs>kR7a^CRfJn^zlg$tmE-No9=MwfRB#1wqx?#Of;&N)9*OF7t zf1U0(T%WCB1Kc$8-$jkYc(-NWhra6)fi|bz$(YRI97^D2`HLlOcu_8TNpW#8oW?am!y3PTe4wE;S0_^PbUK{`ox~SkLZ4hoY=AqiVyeR z0Y}~UNmpD#E*KKJ$9b(QbvI{03(4}Xcz#EnjU?`y0;x>#7EAjMd~`}C)z^Uqd*K&k zTal9nLemNNeuTzABz6D_T=@k~{n z9oprusj18f8|JE*Q^K>RVNkw<`ET`K{f?%ee5J0%>(|h94Y7M#I8-JNuu$!UDb<;X z0Iy~lgGGkRAI$79{J|9;6_+R+M)o9AF+XLHp?&cq{NYR6*a7d8b^F`$;O^N8^JyM7 z<^*FIv-1gcqK95j?cp=V@cp;L#|Io$hF`FWbwnN9W5M@ zBQ6MB`qV}~jx<+qR~i$!8{Kavs!2t7{Mcrd{APx!d*cW{Wo;n!*NHdeL&V*rA)Rtm znH$seej?DMw$?}a81_TcbQ2aea`PVXg$-XLKWY!<;e$^&+W)EnZcObN?L9wTWEzzJ zK$jo+FlzJ|!+eG(N&BsUNd{k9W>8T8<|UTVLw(vQ>xxOSEWK9*{asVd+Gf8fGE2y2 zJ(m!MZ`NMlkC4_eGGZjU7m3MeAXPUeN~kCmrmTz1$oScj%(|W(d_y^d%Vc@c0ohMolJJvncV3-yqg#DNK;F5 zTGyacTgfy~5#z6Du4Q;ocY^!3H*u{KBnq$kXI(CI>cSoON)06xiV{*B>FC3`YcUM} zdD2kF;V=bUUFk#5FOv@!^#nG0aR-lDacjZ@7u`d#u=ju`d@TlghE_>xbI)}1jD5-D zK=U&}eX#;-@}fMWWGeGL2IK+ZY^-2+c5=~Nl@@7p`L9kPPk!AO2u)vb?z+QAnSM`q zf%{NG_$z&FTDy|Hv@gz@d@fmU!@Pnpw&HJ|b$ z6Kw`S-O`$mPioeEZ%Vd*J5%!Dn_ShGyqt2`-7DkaDxWMOFc{+AxHlq!Q9wxF^&2@U zwqO5pykvB`KxA1UAdAHQ8k&KWMci&SP3$g1sZsd$%#XvTus)3IIUDJ5`0L zqoDap`j-~Vw%49XXtiy*%Q0HEbjE%HWxKP%P{Tz8McRC}nl>t;8UmgZZSZi zlV%kwuJ7ZHdVCwO;yo#KXmTtMV0GY^o0PTOQnLoIYR1@34gGue~wQN&13yBdH%joVKY z0JiHFXI|;lm_#)+#^H%vVK0<~-8y3B6$Jy75Db$51_C^QZXQadT<}6|P6~wjQ2477 z)4zKA^J+IdD}TH*D^BItU%vZ^|~-1qGwF<-W?_}dUuo9z6}@oTs4ob z6Qco<IRUGzi{coE;-|9o3eafMq- zt~X2eN27d*ZgEi2g zZ_NrP9d{IsMuL${kIptwr;4{YimZXF;GngVjPz)uPKMi-)4G}~NQq&O*VnUl;4NLn zTML#r6qWLy`TaTpqnJ#A%g%9}*3g&11GYZTN)dDdS=cWS4^Ikzg- z-cj$leL})1%2y|=wpwA!vNtqyahL4=>*#yvH%Yd|hK|MXt~=mdBXr}ju3<)_f|ixi z+tVv%lXirrEVrA8=AqK}kf@16>wi?y&j-ID!*^NdmRjE_zi&gR)QyGP_M-?t)_5TE zNzPsmaym~=+&8?0(cS`D7`{+m1go}V>9Ln*dW-CpW>ev*-HS^vlP+7fgep2YEBIB;a~VdTh7 z-!hF4GyyjLOd)%e+HMBzVerCdLQd)qfe~3UQ6J;Xx1u-MRsAW1@SrUWR!Yv^fDdnCZA`M7pV>lV|Mo}1mV||{p$T!2 zl+7|R=(>H~+K9<{Yq&Y=XD;{LkM8gwj}!Y#@6Kc{TADV;uv0aX@v0Hm2*b+ux!<_z zHI8YjZ+dD(TI8iS{{752((b&&toS6{c?6m&$4lITbC$!?kn5~7gA^6-&W3&Th)Y znC5kXp@AnGat^8lYd|ya=Q!0uG!RtYI*lvwgP4v;VerJ;^`2#g&Z^0(K&0sxo%mcu z7CQNsi;z$76~8x3)>N59~TLJ=F^;GM9EgWn$Xh{-J23$z#; zC`fmlmHqgwG0is-V?uk#F&oC9*g-1osqc_rA-ZESQ+56(e;oW75GMLVQvdijb`j*u z0m*ClLxebTd`0ZE6&LQYv(s*|A@7sl-5ghA9LyZdlde%p)krWtiOwBYRUt~{w!+oSwJIol|W zj#Sl8mWuzFp%LPWd>#LO{(|+spu1Pp(9<{v-lr@Hrh+lKYK8bX`fN|6ugxP}be8{I zB450{(D%JM`c_in46Nzq6`#y=RA&M$ zeV=*wXSn722bnjrhfb2`DrEJNlQH3W?5*bVhRO?ucBO9$q&-c!$c7^eaukIU9#WF} ze%P#mc7Z?qGnf1JK8bcuv#rCKPigED+E5E$_sbF$*rSv7Cuf{{rX7r|^>J>6l zV`!i2OP9q_E6FnL7mod=Zs(?3dcSXN!$q25t;Q|zfIY=?V8CBHx5#_J1mzwk1HTaCZ=YR6|cY<4Dno3C@nM zi-H0Iw`KQ05b4YLt#t8|N9+c%+xdoneqd#imaA9Yo33jz<*+Lfwc-BE@)gQ!hdC77r9^C?{!rz zsWQ~Hzi@UefMAF@WEc+L|j)%qo471n!kEN{lAoC@!iXwGpIQy9I=@jp@pP9~m}Q0n129B=~De-pBaU{GYTy z?2+c-Os$Ua{7&DB49PHf1^_0ViXxBUMP{If*|yN`V|n2z(*4VFkEW>YixwPAqgaSK;VUTE)6W3 zH%oCIVdiFOM{|a(vR#|^)r>PzQ&**SW_Y6cwEQ^Ye1;+2(~^SrCvWHrPYY%c<|Xpk z)=yA?=4CGr{;PRn{Nu0l!NvT&r{Y`k0SXzl89X~4gm?@0x`~XMd$XzP!~X6x#+`2Q4ai48(ahW3Ju!SQb2ZnYNeJhMLpRDM5xYk#*o0(PYgNj(AX(|)rK5U z!AM$pVI|H+xZbKfFLPCzwIbMdj8853Cj+GA^v-}{#@%}i^V4w1f03nc{P7XKzJ~mE zI`O7>SYZn0dSfGScYs)vAmqz|%oKC_dcj5^lI+q`=LBIeG<_gLam*5&o1^RVMR%49J2i1z1ZEhR$7Y4zsvCP5OdX*Z{8*F z=c)`D_yS6PBt;qoW{c81>MI>xD-&y`5*r!i#eIU`{!lT|B@&b=Q=_EO=HU$%CP8!% zq!05{&CT`2OG*#2v^p__EIIF{j8z)`@~7dNCmlOcqo!PH@q0bM1Ho_>!RZEPdQ)xu@%DH*#70|6S1poTie%T z4~_+i`#4%Mq`dWx_$SajM{h2VCT=y_3VBC=-BN7%3K{m5OA>w|c^5tiSN!wAcrBb` zP@J1!O~x|_Cl6KLFvNko7$+JR7k3(3ipF{2rvLGb8{m@lUiugrBhW_?7#cD}%R;0C z6r;+gTO>2U@X8mpEC8dt@US{1H!UIXl$&|9cOzwe;W`Au7p#K9N*x#ADrcPzW)tt+ zk&J1B&tJ@{tYRgv*)wPcoFNTt-5AfWb=in9jRlo2%zUHz=Pww> zQs|4XCnP@EP3M5)VbNddP4m!~#|rK8uj7!?hOc68g4BK2>$T7R@!)LU`%ougO0RIB zmedc2oZt6Pkd;xvk`P@?E>63h5t(qGi|VBlTIsHLM*CZ;?r^ksk9>j?03Gn@QZf_g#Gt1brLE!(jL&hA*fAq zr^Pg8d~pUplPZ}8EB|OjOU&t-tWz5A5FiGcg|2KH3Jnj;pJ}tifl!AQ^ZoSM-pU!M z;9`(uouY~-h4`0v|#`R0vQ?=Xagz(a-{=tN;Y zc6In2S4Ty5wtoA+=(E8K^`0|`<&OKDxmBkfpZo8nlT!c1fbxKmV&kk|bZK;xM&tES z$vU>tDaww|NxjFyyZ>$@);#}$efqM?{xWcXuEy(Zzije;<(EnM#<8nm=eXBam)W^w z3o-p7)hGTt7eBUK(Y0?DY*L^6dhIpuOK|C7^F(rt`olf4x}NuPiJ}K%B_7n4*Y-oG z&)QswIYiDLRK2D$3xJG7SLNtA+3<9W_Z%g|ZwW;vuYb5cG$ShYLjLz!M1E!mpQjBm znZR@+l6Ou@N7#z_3Mbi{;0#Cocjt%_&a>~4n>b$|dJT7%w)tb2k;n3>KKd3Y2g6U{ z5vsln9RU_kdZc6BJ!E9-C(oHOOh^9VlahzH#Lu>vS)F%OFeg88b>YqXjhr?_RK#y# zd~Y9|2k@cmd(h znh4nG=!l7q1C%x^Q z?5r8y+MM~z2Y3j*YHynXDPh*@gk=zR4!8)xQ6ICbCN8A*p;cZC8YbY#o%Sk~T~?-S zP0X62f=CTeV6)#G8yw1@+Fiw+#MC=RfS^EDNVd|o=5I_xSZ1BxKW+c)(vP*o%HyFWU}Iv(F`&cXO`Da? zp!99j75nkYZIg?>SWGYRG37(|+MmUzvrK%)*Y+=(=uwipP^9zrqOlH1^{f*%p!1-K z${rPv7R%uGA~BX9_zX)ox5o4QaTXJK#i&ky4^bb3@ML;R{mU;1spq0$UjN+ci;4q4 z2h0+e1>P(W#_BiT+EuiRAI_gJlZ4$F0k7MzaeMH#3Xr5$b>V+bA>!iGbAzb9mwftoeCsjc2rvE)O-CS*eCzB}rP18Zztn;wQ)>XSLudWXHD#lN9?6!j zqx4rR3-KRD!o&KC)}?(TKN-rWK!4h|9I9@^@v}0qDNViFOJ<$5dgD z7@+V07fDG;No)$q)j5>#PA$$3Z-lGszFrBhp3eWC>rWwk=2lV{YIQha;!YUI8*> zlE5VsS|>_(`7L%u8l9<-S(!x1Ti;jF01vi#C`nW|*s|pbi0%Y{xDno+WCC^R57Wp_#FXZ|{og5b>E#w9hb z7oy&SiYJG&JoOdb^*bT4NKc=AVpF?Q5T>~@75QlTTg~We;^ccH)g41L|D49ig=Mkz#>mPqV2L9cHnhCm{#RdL;ry3Egh#}CEedQVFKHIg z#hZ{wIMxe(u`Hw&=GW(6oOx&LKr?L1`FUN;(%+pOR^`kyujiGz^kBX>*4CEU*QGS^vTzRJ`iA+Az&)fQwc-D#1%S5%lw|*ICEoDY#Id?6 z%tCOHeC^hrsLvm|vx~ALOlUoEGka5s;y0x7@Zm%JZY~f%%Ma~KZx+>Ag}j5nT&;+3 zBsOjj0uQ<5JpE=Lcu{Ws-s8+VrJat@S*X%-Ymf{yhF~MmHOGyC-+ba3C^!og8L~;A zw4FwGnpEm`I;PI&e?AdbmNV*b(al(<| z$%lEe?CfY9Z+Tq%u?OrekdfJA%Xh2dJ(j0gcKADPq{fz~_;caP_c+LLvX4{;Tg1%i zth*^})FdM%;|4?P=15)t^kl9b)%O%tvO>z4e=DLu>`+PTdR^>lhBu=|wrlXS9>$)q z>D-CK&(M!;-<~Y-U;oUPegARHEn@K+1t-x>=9Ak`*=2P1iZj%x-6^UYpYkM}$?LNn zr-LpY#T~y#ZRG?=N?vGSrbpR}KdCJhSh>V!UIZsNKhhpA9-gdl;EKD#*OZ2YQnMui z&G2+By%A8K87~GogP>b9BVV_O<-mb!lf>`2aDEPeIV$a|v{^7139( zI#6lg0=*68kSTKmcnvbK#(9&T=Qr%OVYkrEdBfY7VC19oIJsh4F?T0K#ve(YJD1oO z;V}sR8QA{7&XRJQlBXfCs_lM5h!+YrY9p^wt>bdw{#(43o&#YRsG~%VN#WWDngjUM z^`SKNazT@SJxgY-tRDAjC|ERO4EK>bW^L>xL=2dhTPrV-QhT}ww8xdzN69WAel4x z6pu-~yPU1EIUf15MQuFi2T9FGW4c)4A8#@SE$ROaf9E-6FP+!Ym(ra;C=_7cX3?72Hyt`!e>!76%unAN&pAHUajMh5kj( z;F!$Mtt0iTJQ%pLl_~WmwkCB@j5I61XxupaPToNhl7K#>y*!Th_D6$K&edB zk5~Cdra!3;SbeXkkeGKa4#eIk^&1Q7EKx5V@93|p`>xo>c5uaoZCNSsdMZu&eL_61 zIi%ZJzVh9Z*^4~yux`s1J402xFze!=V%;_Npy61ngHNb@7h+#Hi4IE_x>M*sf(Kju8mnJCi&M4( zM}J^AflOgZflhh?MXk120Z=1mM-+1@)ebO;-<}3wh-RwoSr@Ef2}KrK+M=5QR~-aB z$km}uq5Rmg(1S!fp=z&rEe4MzIeOdAyh<8lhM=o?{W|)`q+PWmMG$a-JV}bMA1_^= z9e`L3lv}q>7zh$oU;7cW{W6&W4s;Sk5b6M+9j7&1q*qNEAq__mB63uin4H~BHZd`` z1nz-<@{tu2OY{|>8-S}mJ%C{`4Cr< zi;Vg>{dyoQ!PR_pbTs)Gapgv;fWnTsKsTT#haCH~pPL%7ud`xWjGFF&^8B-!96 zo}A|>u(g-FN%J|~FKz!?HFi)nT}Q|S@3=>bq0*9=<7M=kqT6@pDM7s>wDFBkpx`m* z79?JRMsT3Jd$9*M?^Ufxaggid!od8XSGuJ~@Rx|Z)B$#r>lxBmE760M< zHT|ITlV%Y8qt(i$)E$o?mmJ4Y8&k`>p`9q%1;Y*moK%CQtRAUZ3PQ4@DeU#xBB^az z{52-`+-trM1sZ6?SnXMT)hz6jhTL0vo&@hl>)D5xC5n%9C#Fj(kfzemIc@*{&sgu_ z`QT4IkFrv>txsh|vny=<5WaouK!W!Rp87|@JW1j5t7EQdFdl>7&zhGUe4j0}Ns_Im zSsdz&CW*lOqpx6QOPbSUDG#q7gnmZEav;+nXk>+LLEP;W59lIa3cZs0sw!>Rs!e6z z3*71RkRWE?8~Pa1rFMMH=lSQ$QPF388VwH~E~TK#Ke>B39qxhWaFO8?Cts^biiY;o z!N!qIT#7HH)71d3cE+HGYaf_bS(TQk+jeg?9E&q_}z^%zM^>@T`4XB<2>UaF@ z1G){TCF!)s5<|YHT$k60RwQ_XD2h)cHb#{qGinPG4QY@1&ACAjijL8WVilYvdxitw zj+M7zKm<%ht^9+mAqf?H~z2aoe9DbGHc6Z;)j zOE<^L_Rzjvgjas7S2HuS6EP_Eb+<7iH3Yiq7=3)LbYw|5Svb} zrDD&$!KzR15xOyOK<}wDH4DqCs`5ynODaVm@^)byzNLQ63MW{GMNVd!Yo}aG>vXfjdq;CG8V}priUT?+nHCfIXdm0Zv4BxO8Me^6vQJQtoaaKr54S~ zuam_UQ#Z3kmK9|DcC+pp85#8xjod}?$bqHrB^ekdT{e<(jAFi=^qOax*TD6@bp(;b zECMYj-a^-YFXbN=+jJu;f-S4U#SYH+uS)jbwUeLoN)LO?CgP69`Xe$H`)d3X+!Y(J z94T%`C=u!6@wT7;T!gmgYC4bXx49@iuy_A!!5*0mUHOiaY_VWo@ri}l%hW|(2G`8? zNxKy<4f&8ZM=?**5UG`@^CN#In%Ig_#Se)6Jyb%8@!ny5Qy$tIYyFVc@xP zyqdU4ZPY~;-`V#pDB@PLgMe1JWvQ929EBl;`2}+?yIwb26(jOqRn>DZvP(VgT z#sNzn$PeD9j+To8LBE!SMrVdX-WAw?X&kQeecJsLa)e0jbSrO#cy7btwntIeOIs;(rBi?D)2^OcJXutF`Ca(%#C72Q^8}_ zwn34vnb|O&S*qGPP`tODfBkUya@nYR#P!)QV@fra2-V%YJg@NG)zMW*18@1EVfHzG z0txnrFBI6wdRa_ujub#63f)7w#H5oXmy&Y>d^+?mprjK^MwI^%B_h5NhA6)=NMH*6 z63lrerZs{B)h%LwDE z>Fg$Rv#GuX_g$# ztl!|ST85C$#)p}D1f~Zl6v(t{gQf3whEX?^%K)b>2xNfkZlW!(Ayg*pFaN&`flA*j zCbh0kC)HQ3Gq#r_*{9NyJJK27UXIm#mvZ1zuKHy0ONiz*d!j^MS}UEjg4wqF)2oN~ zFkFr!zg*WcPKQ50d)o3-hH80j{^~9U2UQw(8A;|-^7p1?vP4ps|8Dk5rq4$t^v@R= zWtaRFTN#eqr6dw6YOec@=wf?S1e&{!PsC8jwV%gVc5@hOV;r4qKic#X$<@kB0vc)j!Y)$~p+MbKHh1QzX;ZYNbKyw5d)h`zX!#L|xowkR zS0bHtn-H$7eg*TV@CaZeDLzBT!(&iR&a-i1DSy1jX2VM!D#SraEEmIs^#TOju(V+e z?%S&lO+qG{A3k!CKLJPV6yyu!ML>P?@BvUUY6X%Iv$(g5;wDS{O1Ct@=*mSf+H-;xgvIT-)vLBEFk@JV z=ImdYjS0LOL=m?Sz*@2)X!xq}d&aY#L}BTGuIXKyuE?v(?YoR8>lV$_CQgx8SZ`Oc zd<3(Wl57|8o(Nr7N6AsN84pFwd!##F_#>2h&2ics0&^d18qVI6nGMFp3JI}9ZnbKQ zlZ#N}EBR;Ulo3x8Zk-Iw0HG9qrDw#JW{};&qDH7>S)hT#7k&fU;rw*=hPl~F?gQNp zuQd)*Y5Le_MLm11ejORH-yh>lwlS~od82l_ahe9NA%m8+@gI$+U{Gwo+CUwSyt<{Q zKbCOW5#Hn-R2=nePsiBzf5)Z<7xkLW3%`7c4+6=Oj9s^p4f4Ff0jBJ zRU#l@vgjRLL!^m>EvknANVC)ud07T#2CMPu2B z?^YQc-EX|c7Q1pvnk-h(V(l=`U)ZX_UuiTXTjm41filg+! zL!=l7E@Za9ynmY9Q-&0(&$f-O#HQVs2pox=PbU&&8Q$r7^>cl&_dE!04)r6qP9EDj zBH8g>f6N_1gpnls5vg-6W?lYAEvMm1!^am~f+gm9{yu*_(oOLMBeM}IF@2S`m#n>} z&yw!zB=vOoKL&y1pk*wqL8wfP&50uIw9iFCX(5S-o0=n`e_-7izLCp&+V65`We79X zvL;yLLSt0iAoRr$KZ9jD2v|X6ZZI%GH0jW*km~y$pE#{0o9LS(ppM;yZ9vdq(gJ!; zl*Vt1I#FCZ$1?$;m-62hGnkx)_b8kNd32=#d}U>saB$rBdl@0)>Q*W!dkSu8m?|gV zL$?<_G4a96`ICvay=C#v2+a5DWnHFKER!hnCmP(zik9e-1iiCQtWg^Ow^^N3%|#NG z3Pi?nUBfs7^hlXebDU>AQlZ6J0w+x;2h*sU&xB8sb#hFZlgjggd-nwHbR(?WsFPxp zsS^?pFa3B!IE!%Zw_*HZ%X;$HloVsq*_+|Bj1U&-U12qmwX?mCV=XFJ#$`!*nq z<|N%c99K5eA({Bm(O2_l>(ziX&#XK;XRj{gSoIM4oAhYua^M{b=e7D96Mb}i*zoTY zuWSqF-k@M70@YHU07IZosq4d4t7yo*M!WmR_fh@&*2rh{a5G<4pk?DHi7#JpCloZT zQ^?_&P|B?QW&`Ty?)KV2?VX2s1+%PC8->4FJBF3d!zWNqw{z1 z)vnTMcXHvqkYbA*O(sWCMT*u>dj`_0{sazI!Eq3w!JQA|)JlbTlew}7U*^v@)d_%??mY@}*rl-d;EB5{O zO8>^9=2$@)-<1LJv?b`KU#$0o?>4TAuT@y3%&_C((bl1n=(F+13~2!!3JCAtdNOZB z?sxErd+8vY3=nD&(#t2Eqjw6Wg`Ln&JytzfiT1SODfp2MSG-qK{m=yvwxt^`eGp<} z`lsg@MV=NT)wBk4Toxg}l$&WyUc9Boo&aWhc{|9aiv9w1AMdGE7Q$8bM26K{qWxX~ zquGb4KI9QC7}>q7E}d#Z3aul>3?E^1vwJh@9)|zDcq>0^9UU!N+6Z9-`&E)LZjc0h zEYX6k0L9mwM({l)1=-LHJA9%*X3Gg97&JZkq z?@GW+4BcXZ?KBS_Jh;ugnP1fo`>y2Isn4G8gS*5^97qF$##*LggOrdi6VZ<{556To~u5u-T9IAT-

    Uk(vV+S2YS89WMniUB* zt`~)J5O3}d?jECPQV+s@y*3U$HM zAgtwm#2EQ?zeIUbc&PjRU}FPquUto6mQQapUfyh9SgryL{6XS zx3ufzh-5lmXMB&r^JxrFb>*Bim=!z6yI!|1uRTHxq5O6J0Cg}o5`8=AA(UUTSA zkgwAOU&$GZWeZ9?Qm7+hP7MwK3yTkg$u-lOjI%K&VztW*O{DPKv&iYe%RJgboBeBM zCL2;}PIN8HIK)S$fPtUniin09ab;Tdd#2?AqveyJSjuBbO0rb4xJSA}@7n5L!D~Qh8V$!zW9I>|WV3 z8KKDRbINGt+c0o9A^aRLrXEe<-5RjxAEO548lK3<=Zf{CB_@ zhHd#Q6;Ig<<&pGo;z))>%-C7POKacNK+{$TGI>vJ3?D2BD;>XnT8##CUZrfR@H153 zqbPOZ`OKrr2bXhVmygTqhFa|#TkL~wIJA5Y<=lMN(J9aNaMiqx3H=bEwMS?6AfkJ5 z$mAC{Y)b58p2~Kx7w#a$sO6OOJy7`SAVUkHDfKmN6D^R|;x_D;-caYwpqOH|%aE+J z{lssv7t}N`7vPT2x17a%C3778Nw(Hdr%iO<+bHeTZ9f4|j|XyCuNmwUNS}5tLeuDH z=wk8#UP8i)X5OrO4gm2HZbv|sH|xXDxMAaB ziF>gWm)ah0!8}aAS3%$>+rlk4On+C}+!g3|cmycA`=aDYrBLcH=`dBsq&{y`QBZuz zNmncIe?6n$=o!~d`4*?06FRqHF%oygLj$%!ojn28>HqmTsWXNPy%}4wa!SC+F~ll} zYq1!M2r(t^+xhKCQTcaCgFbV%JZK_CiR}M?v%F|m`GWJ)${HuQ=A2QrR-b1Q`xMkYe3c->gKshlU?UcRAW9}HZy z`B`jVybATGqwt~@4?X=AGCB8mrWzb%fV)e_;{Ubsk1zY8^;Nj3vD1nZ@pq8z)a$bpVK+#*|}Hl%;akTTXUtR7zaRm&67357QE z8VQ|%o|NQ&{og@(1LOE}C3Q4$`~|7JYZ%w)BSR3qS`KS9Pdgji2AQnV^DZYOd z3f^xkj5=c=RdRcKo5|RUWbh34`lMO1xXg-=uW9{G)Xg;2LRX2`ho9;kd$ak?EnyiK zcP!c4&!U8-Ih&p*=SYtG$y|4wI3DmAy;Ra`Kk>GkZyH=!$_Yqb=0Q3-13eug%`Zjqd=kaa+r6p1*s{GJV*Q#hsd*kD$5)&4f(fhE=cFjv68O()kL-hxB<+K3fj);1C+X&AWGm&yeaR zhWu@X96&6<>>wNsg$WBZPx9}Xo9lsr22zYWBYn`)Dmjnf%4>dosWa?rbR)D80bdSg z?PDmofnNh|AdT-=Fm%CpI1DZE$aTUYjJb|?%1=HQl7dT9#(-Xv4lr zYn^+i(ywyg8BKg0vTJ;JHT-JgNh?yFmPI$obKAuS%+GU!Ut5$ZuzU0~?5?{+&QQ$# zT0fh^e?kao;ao(a#EkbMCQ@C8MjgbtzF9k6ioNjp8Y>9 z043$uRzIAVh#$s6X{N~x5l4@YL(Qrlfs0*m)Ah7+j(_Bdb3-;^TPx0Fulg(A4NKJb z)_&2CdlLG8Q2knZ8=-(Um%6;X-1)IHgG+$YIL^sDOt9fB+(xup__%Dlv(Zd|;@0I< zQCXQwS_9MQU19*H0EmZt*HyEVKHX!q7|Iv_wBjuaXg=YnC&aRAxz=f3n5({A1n1iI zx=#r)k_*+3Y6WIdLBY?HTdGBx${Vw}k}+uWpR_=k0A?&x6@Wj-QaZw<4C(x$WDU(n zSq5-Tgy0{Nw3H|EE8PahlFF7d4X--EPbrZW;`#$6Vm?AyndRW;rpk9OyAO-!@^p*X z#lJk4ox%-fB_ZcxW}cpZFnTkqamROG_4@()1~08E+hJ&gwWR+CbowbKi>G>}LEF#b z-O2GHEcIvVZ*!nv3G~K|?g~~8gQDX2P6vS(VaJvgwZS8E-xm1_C7;Tkwccf$dB$^> z@`gvOWhiL=LxuV>|IM-3;ybDf_P+I>iEcpy{}J+v%jB0Deme$!2L zxuP6x#37MP5X6;>{VMfhl(FVo!AP^K*;KfpvGHz;6)$w+v6hfAn_zW1ev4GaL%Z|i z&U-&tmz(PS@cJF+mxgJ@rQt$1l1^0ZAA2aS^cxLL`#C)!7ICKV8|co}z-cJ8lq8{F z`vmjO&twao0m};YUi1Aq6b!5{G~2|;XB{)L;jxeUq29E>StMhaRa}~ctX4nLv+;Ry z-kkxt7|E*?+1Zsugj^dK^-#vm-_de+udes+$oPRJJlH}9Ue}}gL#WT$M++y4-C_y_ zA_Q=_Td5$aZLS*D@WG4n0q}J}p&oo`y7#e8CljG`M(PQzS;gxVNRprw6BJZkh(pvP z-}yvf&j4$=1bbfUn0~(?V?;GlpegAiq%~)iw(A=DfOsG) z!fa&1L1R~xcP8`$~%!!az_=*Ut zGSP~B?DdTA@e{q%Il03d($ z2~)Ts*&n37`;OB=Y8WhIV*OY0fu^j?Q`3bNC=D%7a083ZGcKAnkw)qpn$p7j6DRv5 zZ|wejQxsi05QNBf*pNEA@Wy8>kYq{zl%K{;%6qwk!5e>~u9)@b$B{Qub9B14Twjm8 zjp!*tzRP+A0M7;UH#SG|H@OX55y`!%MnGLW{wRyIMHrnDd@%AfF%jBQD!V>=^le9% z(TTT`p_0ey*mNwHJ~P{7-L|V$9N7#| zYR$sj996$$0=b+sV@{;Z-*%`fBMN`WK5PbHB!7OFClT|$>0_Dj`7#ylvDe(q{Tphx zM!#{Ur4te9>d27n;ORY;clJvK<7Z3#4X3!*4{>i8#bkwX_kKw*bfY$15Q=r}l{7oB zOaP3_tU{O2Uk2Or7>9XAm`653Hv~sM&$Co^kN{5}CoH#(^Toc%=XX$5gY*>H$3Fm- zN&d(wIhj|#?Gj8Ek1b=~yE-{#C5q5$0Rfy8kL@fuWS}%o)Q$+HrB^15qCjRtpNeL3 zIlHk?ffpNE6(FtIW*_k0`pnyNO>8RgIm@3?tXjXaf*7++8=86s?d zEIhmnFm^oAlmDjOJ;4iDVry0YYJe(Mr zpSpdLn1R!4UO{w_BA}51D!LW5gR|7wSVCCOAh98AH$0ZmZmyvKLjll`lF2>qjM&AG zt(nRt6Eulu;U$!)#T#;jnyS$Mv?hyC|zQ)_2FAvmw!9+(7nE=dzQ%eH1KlY@pZTmWxS^c@{RSF!W%9 zb&OYp_<+5gQBE;#5_+oI2jhrrHD1=1$B7)m!9V#+6eIDgA~OjO=-WIL`Q^h^m>WD6rfhCCB&*JTRlBo%manJyHcXP9F?7V&dvS()Bg*PGvf$Tj zLF;zvdlHy5+`L`G52HnJf}f~6`7Y4})A33$9c)ZolkPN?XOnJ#vcbRb zE@8=jtbIX0&lbzPBC9^ai+P3go3peK{c_Qt@w!bW$*tQzR&cdn$?0)|^_!lA>lCAv zmCWqOY{dzLziGSMF%aZ4Rx)YpZ$xE(UGCAQGk0JeK=$R1-(*KXA zvySRAZM!xgAf-r1Nq0$!l$6p)C?MSp64G4~N_VHE2$BNQ(%m8;-4cRy!*?>zdcQwr ztywyQ$nU=H>x{jREul`*M>jIpM?ctl9My5X{}wvnU|V}~bXUf27SVx^3j}(qX=Sow z#slIjYikQ9>GqRcC(s;Zlp1JD-Z-8keTJ=6!Px7du2x;#Si|Y+Jwe5%!AR7PAMu7t zMf+kK_Op()IM;jia(MBPF4eIOnBvW!@B_M{m@YW?A$B$tfw$tB#8_#TjvUb>9#HMT zk2tXpNQbcTga8ig#|Gj(-;{_fms(7SP@xDp^BjcfErjj?o_gF8)DAG30lui;4mskjwv5=;NU3lJb`!J%iYnRRL_RE%7Ird+96kd*KkRWsDaq=@6Sh5j)Mw zVVVAJYir2iV##gX;n$W^dPI3cK3@^Co~X?C2Cfe@&_@_SF0mn(z0|t*)%g+c zp=PomfA{pH*Walp$0aatx?KZy-{orzbcCKUhwN zh>Gj)mvMr8|0+#usvZE-9WBn+t)zflu-Y5)9cpmlvANdMl_kFq`}I1 zzHr>;YrPwh?W;A1&C`!P+^oJ?z!|C6K3As5oh-&3TvIO@ILJJgKO#;3DdSHqU(nqU z@au7Z2v|yQhKh*EWo1(0;)pIWL@5VeJwOIMm=pQKPzfh1-f`A(LpaAn zp2A%xUOyv>8;5VL|FC(cBUM%$Nr}uWm?k^5|Ju;4|J2cPMm+q-f8~wrqMZl^?H3=_~ff@ zF3R&CBO^FL2JaSIQJ^7h)Vi`crlVgo{KvJE{_dbA!}KO}Li&9io~&ThG|Ww*90Lyo zv$m1G!iI$d&ob`Bx)&1Vp_jdX0Lx!$W!o1bX&fm>ltxNTlRq+1jO%esvx_Jrfpllg z1>vE}D83(ka&skBnIA?(M#if_2tA3%TRd{RO#PcR^5+Y&7mFv#>P5H=OkG2B?YkbK zKf*bvWt6r1=;g6wuaMbw$_m+mn+wuS;O2766K=2mSnrg8xhaRmy&fBUi~AJ~r%R!5 zZ$rWTu*gXu{Yy(PT=knm2WNu7A%Mcib7%kTl4-utz41Ql$^n;l@2Y*T)+G{fLWSp8aSL9{dgrgGC!<@jHNJ{l*Yi9R^|ow;n~vsDN4p= zAw>u4n(Hye4Jy0$dFV>IAfzYB9s>dm2^T^KF9B z-Oz3|#K;xF2blzCR(sw!su3Kf?aPvr&qw*trQ>>x@s}luo^VC8B=&`Pag&6{8Oue) z`^F%-hGbB@nr}G}3~KxIn-DHj#Fqd-_LHyB(*sti8?1lj&z8H7(O9G=#s3qSK{9|W z*VA-`aca?~P!6AVKAj(o(PHT$J{gck=PA4n7mOPxjH1T-dw10?9cedJMRQl@(=T~U z<}u!>!cgw8^nVogAx480vSs#RymGv5iyq(C`RI zgl8^mhHz1FYGYoOYpm@piFwvIpo2RM9|L%tP;{&LzR59KdEaNU0 ze|~4-g+*K-ucP=<~AN4jH1sUeE#u~R_43Y76JGfz%>Nc zZg^*dk;O@5>&TrsfGW1<9bDCLVQe}{oO{B*g8C2RxB4+!j6tDi29|#S=b`1OF#iYL zt=%JXpRcgm&)&HzJtCh+cLD{D+5bcXEC_#uOF{k)Hu21%=KR5{aP7l{a66Mv^uj{+ zm6{4K9=KaU?Si>rvgSX7Y%)TQj0i7*Tfv)~G@L6ug1tMq)xPEh9bt;<%yy*9%`oGiTLNR6_aDp3w8e3U$xK+i@4;DX3A-el zQf!_t$WIr0NhO^8=@IHA>R_P2VtW_!3Zvl9+`~_yf(H}A128L-!x}n(Lb||kvqMXQ zi0)Pka6Eb6fY(?!>47TdsXzL14!H$}LdWXLCRN)NTdJb2>FE;A(B;)o^k7qR7@ho^ z2go6o=|k(uGdl-AeQt(+3XcxQ(cYp$E0?TzLf732XkXcT2G)W+?Y19j$D4|5s7Yhr zKjqS=>C#RjLD~-H9)>-ZkN6H<*!{gooMD+C$Og^<2A_2cw(4Ty&^;s&$oL~sW*!j4 zcq-P)^t`2$mzA9qq&@)W|M!wm>uI>_I`mlxLRai-B^v&k=Zf|*hQOFLq}%}@kfYpr z6I&zT(=p~MhMh*IJXqqp?D$CVL8W&l2MuY*#A~GNX`w#wShOCIPlKe3yc(e5C$s9-f zy57d26=yTTD*hd$M~#2$v@4zzLDKK#kI9G9pLs!M^7XFDSMGnHGnv*p0sDWwB_uNz zj*ldo>MHG;($Dh-v!_T+pArIskV3>oJKU11?xnl zC;XScUxrOHG^mMm-HCVLCUJT=TwXd<&P8mm8RTwq@9G6XPD~pQYv*+UVdgYVxkWE+PA?B-E^sor>%(-D97G!bCu@ zBN-i{m1nA&WGuF68jr0)u`rT;7c!3B*2cG-;4%d$&c(5H2ajIlC%z}2Rh{UAJ|txO zGJyos-;67H;X)YvJu^*STC+6)d)swv@W+F#114YSnXSH=a`cu9YTz$p&OcPPBL(ro zsy*=-cdge259pbGFk!c@iehbi(%r)TzO_7>I{SBzF9L*6E>~d_MYe<=G2V;zY&4T` zY&}CMcCQ)#a>MUYB|vgw5j;qy@8NOrW|?I%ocAGDaulP@o&!#ZRZ4zu!5xBdtSsDz z;)B!{7*Lqfkpz!qNQ)RRQO}Fn=vI)mQbOQPkCU+_t^`ibP}4`RlJ{5tNQeY1(r^{m z!h}z7_r`f(Zd>fNLPc`37n_@+knNW-Cc_YISZtmmX*N@!%@+F~4FWT$L)qh}&p)be zl3a5l4ZIlqB7L!x7<#6>yQ$jOL&B}6z}JFRIfz<7^a9Hn#v$0UtijVtC9f=eGj>Br zarMk6y3@mX*zw-(X~6!OQ&@3NvCxYeIo->=f+X)Vo*~!FH@h@rf`~N6%^_V%FuJ2v zQzt_@bj@(Fq-NL-hka>-u6Qpk!eGUUY|?Wigb>0=?uV_dQJBpQx|2kGT@PP*i?puc zN`72-gHtEU7|kpr#@^3>h%HV)8^anMbadg>5rs2Pgs5h$$+W9gH2(9f*6JLM5fxTQ zz3YHfh!0~J*-tP@=aNe}a3+2*J%0<)$=oM{Lzt8g+fj@K9R8IGs&Br=NTbNlvzjW) zK7#c7T)xK+f0uP?m#d|C+!BO}@hS}Rf9;VnyNdz}X?$9L;+28D@fUznioe3h(!qR; z`;FoJ?Z_|``lt(OS~H|Iv@w}Esa%I314i4t7Jc7!H_K*ry@G`S`RW~$Cufo?kKl}b zX}YSLxEgA7Cu;!#@7tf1^319dM{fWt!p2(Jm()HwdA)P@qXP*MrsVF9 z$QgzmE|(BFZoWj5%lhk(j%=_dMEH_B8`?Oo_L_6$*`&c_`hy4XEl*d)F;V_H=t0xI9T-~i4v@*DsRVj7sAl(@+QiByIDFp?) z=ZBpcGx&j29KbymL;GpU>dX35l6y}l1%-v7gDfQPtF~SxqcxoXu?H;ZpgrA41i=Q3 zd3U66e?$5v=s1}rl&hssjk&nBBjTDTpbG5k?Ch+$JfFCey>mRtl1byWSaTp;s#c0Z zEfdKqv{QpA-iVX6$$Cc>#_iW7FmBHrFWQ*VE1mlz;lLj*L+}U6D5iQMiO`AQcAh?L zJvR4>kAxe8aG%QFL`xLHRd6X_{F<%Ptzy_kM{RbStV@Gd0R?^Hrb}aY8e6?4yk^tZ3{w>0Uoz&KI5}D?2&yiN*BU zpjk+w9eY5Er!%%|KA<$pn0M?Kx@oEkFBHpItD^4gfDvvYtbb-tgfC)6q^?FBEh zWGRGU(8=^12!huDK?d{!Tr8ZD1g47MK=Ac#Z;*{eW|WB{RU6|T_h6m(1t8{n6t`H! za@2rnyr*R?P-n2H5tZ8?jB;SXjRE&WxjJp{n-!&2D?9{-2&1EnC1P6pJd-Dzv@-bL zndqZN+xz(07gD-O6TOPze`s5LB~cK{05^M=lMZ~bLVL(c4N^|YzqRaUkb_hqA&sLL zrZDg-fyYj82%>pm&*}ywOOPUL)}SzoN_gksQel5SiDrxX1t4PgPFw2HOQf5WmrR`GRyXfItkuua4%IW$#P2dUM!I*H6dtcGn-JKDJ&dFX46{PSX<*D`_+lKxnO;vD_2QUr0x(F z7QW68Z%J>im*~x;TUgMYp`dG24eGXiGkZ@uCV&?`+g0enrcM8siSsZu;bY5($Sq8v z;WZ>5p|6`yzEyk2%8msZyltMp@e(+xA5T4d9*QMLu(tFZ7unCyxI0^Uj2jeLfiDo{ z$9@{BKhT%yhW;LOr67R`edp$bC?)=ap0bUrNNnP0em&IQ-o8RTOMyDSCyF~lgXNcR zhdihzsBa?X&h9HyAJZ&ZNYf|!S+xHl%%FefuTqvI z>HD_%R6=encWeVx5t9%s+9ZQ?igu)7-feiy!o37YzE7_pv0a%tUV+mYt4$wBO+@=9 z`61g58rv@QIxrFbY4;%O`H#mI-;lFnnbK%&&_!utISh)?Vx?CU42YPIWk5~w)7mGEQ1GIP_tb6mC&~5UqX?Z3@~0szOa9(Vi2~xXJeBTBKNd zBCfuLqRV<3B&bybtx7ogk-jpm&Nyc&qS2! zSG0wC`}MKhcoxDaR`J0l(&MAtZ{!N5tn!be5ndp`x&|=XjJs5b?BJ{DIzByBmzcvw z#S~NA>jD6(jA0)XNmdM;hw!BJ&Zr=W^OvrApz%FcR;_hz`kjdo1B+r?*SgbQdS)41 z@11pT1;mWZi<$LXfhA^~Hd|Mh$n~C@38Uwxa^@09m{!?&w3R1d2iO{ z1&`7IR406pJd{@0@dFIF&J)wH(F~nv;U&y!6$NetsPQ&36uO>rryUNyIDf;YW%?!7 zGOC=FC$m8=-_U3)bQm)gi{hAl&P z+B?8!{qX*;(yzYF3`Q}r>FPIfm+<_6DH%o`PP4~enZG2%GLgUO39tPtOl0JJJ6YX! zVkOvln-Qk1tv(*}V$%)8SK{~D;r&a6Z0~dHt~-OczBqOjNYzj(WHd6Xy$`~me*5t_uS6TPAqxl`H_%xdYCs1n>L-N6 z)g4DcK+Xw9(;ju?Nw8@En)(Q2SGn{rai2ZrHArrNUpT+nPHJ6F{lgziD?jo+AgB34 zEAA>RX6n?%_bZ^5mcEr<2JUvvv9+ap<(px_0p-)ll{4=#{BpcBbfraC-)qd(%b_M$ zhLVQ!WESoPFc3AqS}zy5x?^4^Ny4CRbAMo%c+MQ&h;hMLzC6HNbi0R$F^QvZ1&6J4 zf>YjMaoNzU_FHqHw^z|bIW`Q)MX-Whdz@;)YtrBoW<__U%vC9dRO!P;_z^T4C>#P(Iz z*JMk~nXH z>G*eS45}e7LO4^6wE|WH@O*v;V?5Up!LRt-QWfU-iMRmP#O?u-@Xpk_h^C6@a~7Y~ zQjT z3CFV}gWQ^SL8BDcoLc4#wxRFNe@XCYRs#QW+TrdkmBMTeU)^Jy6x-(ydeeIA$u0Z; z12hNYQfL=i?$MsYw^M!?Y{8~1Noq^$5$P1UZkt)3(-a!7x|SBq@V}5N8!sYxZqyAz z`wUJ!;61>*@HsWE!mS&aClv-sPd~>Dk%mk5(!3J{=cXe};w`H}tbwNX9Eu)p`BjEL zd=VtY1Ex<_Yfoi4q>l@+NYt2K&U>fRaV)0C1^@pY_IId){)Z0e2qkRJlU&j=K(Em|q-cjFeu&_0v-2hmro7ct$fO8Ha}Kj#+I&4bZROPB)U7tnMDvH1GA7J%ju z&g~mVaK^>;tp>`ioUKn??fS&u^;z;yOFP_a`reiB`qPuYX(N>IiEt<0aRM{wQ<LB#CYkLB1)9B$SsSEDoN1 zL!NOtC$kaB-}c;%mUip>XTo1zUe8}jRDFpXT7URR3@hxZ^(Oi^I3&jWAeaJRQxeZ; zKl%?k(WtWKfKSU8O);;~De3#~BU%C}sz;l|g`2)kP#Voa>IWfzX}k1mb+i2@>Kfb| z5`!GHN{PWpji5d&CHzvx6SIz6|>ksv*i&+i2 zZdV>;XcrPC*oXxy?y=w9gDn#!>tPPHz=kDuq+@3B=RaS&6F7(se}8OHQd)(w2q*_S zE=WNbc$TUec@`<>_mMm?%xQ{};W3t@KR{BJH!umNNU)yX{Qj7oJytdkG$-)q0PnSZ zBuDDaZ%v}0{-L3wUAm&eisn2V9Qw)PZ-tp9qsru z{hH|5;|>Q=eg!0H`d;v6_cpb8h2vQfNSgn+*Fw6=c$Gbr7=QIuoI;G32qJhg=L~n& zXjrvtdhf=%WGAEgkyjF}cT4r$DZYcKvSMqnFI$%kOnmr}tbJ}<{&jzdD3N3Iz9frr&7TTK>b}2I zq@kgq(AN{Nnrss$dqP(vEZs`2r>(7W1yyMQ4BC992~=n|l+Q!pW{VN7si}E05A?SC zW!YVRq2xfS{e*NsS1me_Y{SI(wJPm#D~7~DqM0nRM$+G~1?uZzIa3Q(k zw(6M2xs%CyjXJ_eB z2bQqu#SPl^>jUHE4JQe7UD}Oq7N3MX<-}A6_L&lMJbt|eaOfqYPJfDP_PboxH%siT zPzS$2{aEg|W14QX+Z=ut%fijJ16sgwVFJ`}ZtZOOyFZ)4pMJl%In`D0{`WPYWa!Dw z@e}P+f2la1SOh{)e^|_d0%sc=@hCtDUxQ@+;H}SxaobwNd*M%-_xQ=d*p+3tfMOMm zegz0`Ue8ajLK`;Ec5PGg_Y0?f|IP+*gmZN6ZNi>Y6Nb@1wKcajNfAqtd#kU8rl!)q zutBr5V);RzD}|YvwCv0_$Kix4hLlq%%3w}aD$`U@_HpF^`8)0p_Sl|b%PP18 zUSP>s#DLP5am zvs5ZfB^Yy^g)GOF^3drFcCd_Joy-rxKRyfP6xWLss_X6V_&i$z%9RTLEn@o+jd8;< zn|arE?^aA-hA2?X>(u!AYG`7=4tB;nJ0&q+nxYr57-5B_LlZw> zzlGiOsIR)Gou>v{(O_?LiUIPlFg|}=PI`2NiWzKncI+N&MlS3xeEd(-sMBmyFyjwX z?V%NVr8-fugM$O}yBu{^uB5Qj!#{TP#O78z3#TZZT4ehj)a&8G_liP;@@Yp#x4KUm zFnN}47<8Yv?L}d(;?!?YY4WUn?c`LDECRSIK}CBiz^ws>uhRQ94fX|;VKxkjYuNOW zBRwcd)jjFwI6EP~h$6ebtP@CubiC@$%+zq~c6owA{78FKR zl(Y#}28_V>*%#+cL$LmY`FDs8wQrDI1>#f0hoUgfKDE4SCHz&)D?ye|P>)4ZiI1Faq=%8*H4!n%RF`z9jM0dttHdfk9lIdw8 zNU2D|$LuCVMy$Ckoo@*jIc0kv{J|h~<{EEa?5#uQX}LU|9iIFpoS`C5J5uu)$GYwVWKA06(@DbowTg7I=f(-7ZBOByu#vA!Wdf;q!R6B2;N z6Q3WEZZ&Pdv=XYIjxrqj(BY!hG+b2>WWod)3QJv)+iZ!r_IgVmA!~vxoP&cGpG3h0 z9_3AibBGl2@g$E&%SGvnwkD17YhE3yCd8}U?8EpHwQUY zr5@Xw9;fS_Kb_x_vJi4&GVxG63r&`P*L2Ey@!J7Ys&y&8L(X8V+m%*n`>scU+m|L8 zHns(Pd(WP^AIa*)^e?~Y!K4bl_;^7{aWP|LCamD)OfIO|eTuJ${2!)!W`~(f3krTm znB|l@3ehZ%@qW|!Zto~|7-LTrheNvI?&^Bk9P-01q5%fZXX_tx9?Wjx(1q$x68$wp zC)lBrW%nGQaDXFNyYd|(QQPdME^mBw5c?GL6#9iao-_6zgT?D%xk2|(@4&YYd-{=Y zf%Ifuw*n=%Gqlg#kK9-)7^C?@wqL7q1tim7KZlo1p~^dmS@VG1{V|Myn1yvB6p4ah zaPuID3Mf)%B*8O}L#V5);fwX4Wi!I!mn9+Hm#Y%}Ewu;kT53{m4H)@fF!?6FI$U)> z@X|XY>GlYrRgNe;B?kXQhdoT>Fp}_Mtqs&$Lhd$1y_)+IiR#@C2SxX18(s*4;>g05^Wk_^tiAc%WiAN7u@I&{;JB31^S`w#j+260I`-1|Jd<19O$!WnN zU94!d{pmn2g@r&r_NPA~wqYT@X3S@}w#1)4gtBST&rxf@d-&EWa~9>gG2?kK;CX$J zX$HW&@$oki6e5El%AK5_&*T!}De!)_2TTRw|9+P*f{CDDuOL$R{PR9f^us>b`gqO* z1@Oxi@FRXA>j^pv=xLf=#?M-W9pANCp37{wso->!`#XYp+0*3{3;`Qpra&+nSSPzV zWUq9ckU4*J@A`1}iewh^LXIBqxY<4UuZT|q&2C-t@X2$3{T0K4*p&p?%Z~YLk7A!S z8R08lpWuM>S4BFl_Bf`}(B`sey~bZW>Ev_JpeA%Q+7!Z%yz_9K>ChArb!~keM&PoW zkjxcdUM1e)afEobd_WXzAsZ`VzhPU0@Y6f~)Md{ccPfFK546P}_h3coTMUH&X&31H zp(_KWOwS%fg9KT}=&*?rJ(;mu)KwUbQ9;w0h);}qRUSydmLasXN5e{k=!g6V*OrN& z!X!2D4MPtlmwE_ALX!2}=c0K^&&RlrgmQcCs663ICF1f3Ck|=}#$&i&EE*D-pzRMk z!(h!u-GUKwc%t5HrfO$G8K?Hsq|Yebmw?#dRIxhea3l3($NRmG^6F6c&{DwiH`L;t5X~-FFo>{ zs?>hy4qy~7^If*GU$$bB-|SJ`*d1MnTz&4rhnR zyGvbDazD%NoR;*G#r43use@x-(5S}V*&*_|7ozy|rGt zk;{L#-~)s@Nfs(wOViRX2R=GG3H|EmBu+dv3$>wF_1{$}f^cbuBtZwiD&?=N6 zA+uC6&#C)htOn*^Pz(L=Qz`s!<&dSB&UFtqVnVPiwcY14z z_giibPfpoSuJB{OqGxQ4x|)W@p3DZ@kccPB=QlD^W6*GOM>Ov`+guOVl%3Q*ku^nO zM14uxWtkfI^q{->(rfN26!e05!@hQ3rEXeogLL53eD$TnMeoSRXo~`+;?h#~Z(i!u zqKU0To=w)K^`MPf^hx3mBWo(EbiuFS`#(E#Ght*K*}%PLlR|%RaDWl^AnJKoaA0tD zN}1C8rRfNV3B4PIVijC@|Je_N`+3bb(?FD2U8a?sXni3|i#w_Ce)1Q(R`h-raDtfO zy(G<%EQg;ek)+#-nj(LhVln||0Pu8>0l3bU#EJQ*`-~agGA4koI0InF{nT`Yaw{66 zL>ThgL`sdiiV}r=cClNEhN~Sn-Q4nYi?|$bN(uln{$w&KX~>MH{D^j1uPMMrE6j%VNjWPJ_xyh!2njcT?^A8=_%4F*a(!&-;PRCx zJHHnRy*>{wdhr8WZu+@I=0(Yay?zC<;vt z^PSX7SGka;}2Iusm=Ehv)&fd&Q<)kVAfDqKdr<5Rl4>f5mTKAlZzP2 z>>me$bNdN3?+*XGuCA`epQO&9=lTOT4T`PZyX$F?&*pc8vSw5+S=Gez%f(GG|tjhSJ$_-RqXJ=*!q0CLP_9?O?V@$GXZl- zW=Y3{S!z73y&@d{d2lMB{DbjBp$c`n!WaPm8A0yUAxqp={jp)8c7gL=zvKI>tE-J; z)`ad%Z3Gbz6}%6QjQ*xxyDlK$A^(LTp?2NYi*Rl@{XS}nq&wTtyXNpukFqSx>wO&!k}DFEqb#@DK`LJ#6(Wx-@Su)>J1%Iz}_6+kP}% z4WXh?8xzdi33xf8SsxA>n?6>nC zcU#)mNAym`1R`w@T3`;6Klc5Sac7!MMySY#5235eac<0N1OLjRf=v&mD>B|6teBJ_~k?QaK<1~9jgEB^wp~CQOP8=FGt6?*ur zS5;L7M-K*al+k0WBrBe0Ui0N2^0(UO96g?nwTB$uk*k!f=_tHe)gi6*Mr_E9K%np_U9KceJ&<8ta)WjlxFtuD8zZgnC9>${^a|m zJAG`6+TQyT!`5>`;9%sy)^_)LTu-Xf(ePecpr9={=vPFVZWtcEf}r#9Bg)@iIup=D zSaRU2Mk7ePz#;5Opv`QFV`dxB0sXM9A}*B(BzUA`bdMtY#+!Z{F^6a)NW26B;B93N z!q@?N`5hR?#*78C4jc$ZkUi_1o6FeG#8pi~kX@33!>yvJ2gBRMzSpb@YHF)>Kb>^S z<3K8U@$1CPN|_;os!mWU*zlicrj4~f_AKX+=2Q6!mDQHV_hv^YcjXw>DvC?;VLE2@ zt!rtC`k^K5dmf{lfUVYs#+PQVC__~Bj<4OnBRNB}c|Ohy1E0$YKo>pjY>ctK)}&XN zz<9fU#Cj*amP1UQ;+1+D1GS{o^7m@dHLgkh4&g#Mg0E3@HR{w6)UAy4Wckv`OsJaD zy}kOI^mD^>Bq*-SzLdxXQLTT&_uTQ4!lojR$AvTrf=xBJmG;%Aq?Jdw+TFvPHJoWM zO)Hz+Mw>rkNe<%4Ami=+aQmuA&HO;2)11h)>1FBIQn8Ebkx3GXS*-l;-ygNpR!kj| z9RirF58_i=3 znVg)|cXQMDDh}5&l#dX|K|C&NsY2QXPD6!E;jgGFZt16aXrYqyUt0+tBr8^FzR9GD zA>j;u=-lq`Q1$<`0DkQrp)S5<6rjklwFQcyI*jT~zvDh)etoPcbc7GNKC(@*eXEnd ze%EN^=8_RRO7y8^`DVxG-Im^!GuAXE#tX|x?S)o<#q75Njp>LjlQbG~ zc(qjSt;S{Z24&OPu7)^2%Xfb2`p&7kVOXjAhT1K5 zm*rl%bjC^w4u`TYd9MJ^NdHD1Ery+KYl2dIX?OH~0 z+yC-~jk8f)15R_$gRF5pYnb6%tHt-+wDMF?9ip@az36XydZlexukY}GZg?r z&~iEd5LE{LIjR!gS|{u9xSi31CwyDjxNpf*(&>rP88|oa9`3Y!vvN}CUCPS0_|qn! zgN^!E;7mIu%;J-q(84NWR*??WxJG{#X5-0sz77#9^lZ0ST8u@AQ9hw}& zs3G6u{=0n@|BFm!T5ixdj`Sr4z8l8OgP!QzCqVu>KIVbE89MnY&BrMNYlz7y(i8AH zf#(erA<;Ba-ys7pCMZ~&0S34|VF>0GH!zBVR(|$io%3d=lKBNh4BVjv8}izdn+aPk zzRICqp$X2pjep$?*8#JC$yzy#-Q1EDZ^nJvYHpUgddLb#8&%e0MNTV!Hn|7)ZX%UG z%IZ@7B?--8tX=eKut7Nyd1zvcYdxT#Mt{RJ35u_;_UK8RTMjgHf`<5ynvQmEMGOxQJCd>Na@ZV=SmVw9qzd|-I2c`of4cajS@7uPX5`syfz43@ubTkCKi$b`|Xk`gYcl;}mP$hM|+S0htC?1{HZv`B#xn1FyF?i=LOLRJPq zpGLY86B6>tG4f@;szTxkghYT?+BHK8gvO}@6^)JZFu9xXs+=;0PD6yvR&B8rwJ`kpcLVsN2H z(I?o>eE+znIlZ=)AEMU|>#Tm(?$D=i9f);a`%-F99UEkAgp?oJpVaY=BJV+$om$xR z`aJWNpzIIJipKmCzG5}q!pSxE2wS(F^@g@*y`FJ-`Pki3GIO~7pY%+#)rmakPw9o@ zJ%dVwsVL~qeylu>%fVmgVYl}@`tx&ZZGYy_Qcfvv0_Vq{Jn!7djNV?PeVc^P=VX^r z@ph;Kp?^HQ0GGFVk1r=(VuBktnO0T6uPA)-=pe3YL%ql%h2&;E7VqD)upk=LWpwW% zOapPHnh`9cx*sMa>UQGBf8->Ebt|O|7T(c&2Z<;Ma{twmi?x;4Rs0t7;@N9jox#N? zCVXeQzWG~+vxr`{(mlP6+fQ+D_j0THnuN26_-7W`_1>rs98lEbG9DOag>yuky*<9s z+jedKIbRvsb1CI5Ud_<-%JiV<&p^SH^BA8@CXzM%8ui-#EY{$)k87P6#~e)}&q%g> z=Wn}Wxz}zvopy3C4j$fJtlE-0&Yy zYrmTRH3%sVRq1h>y|WO@;fjnLLt75YK~S6FBLKw_%6HGRKE2Lr>yr8%fs}##b5GIo zrvZ&+fZhifr*3Ic5ZEA((m{bfWmN$IV7?5|{qU?p81jarCY^HdnG;bEF!D@}Ynqzw zXEo>{v)bt-0$>T@4nWB-wx4h}zw@qRzYs%Fl6WoNAhM)9f8rn;MAxJKH(daf%o8Un z@8f-Csg3+MHm#WB1@ym=c9k2R^h-weBB+6!kJy<$_I7drvQ`*Ae4f|>5!b_T=Jij@ zd_OZA0%|y~Yz{VXjl7BnpBt3Jh6ul-`*a0GICV%@r9TtmPaw@^u{-s>h%ZO%Q!%M0 zj!PWWL>|gC+v-N&rfckaP?U}g=!L{vTIZDj+fyzn=-0IO@JM=n;*#bb_7-R z%agLwShQ_k=r=#fe}XacH2myEOiiQ7{XXuVd@JGWxrgWeIKe9tlIc2MBE;f)$2Pe) zc=6PU@r06IRXqCko-~}&Ft0{&R2S(=Kj-AASnZL&J2dF(rNz2K*C5x6AQ$Qd6^(9e zz_n)KTf~obn$uaI?6^L^i|KuM(~O&UmMQ6igGUj?I2FBDA=y=G;gNBdu|WkEa|sC< z2fz6T?dIIhTo9uI3{(#4w=LZ08xgPd#qkwZ_m77=(e52hjf$i${+#EGm%;0b>gGGe zBc#W%dFxAv5|H9o(vg(Xar8R)>|OjP&b5Qs%7ApvGmI92$JuaKtb* zKb1dc^{U5YIGfw%ce|qz?vKG=^s~POq}KL{H2fW-jK4p`HC7UL4?1p=pw==GJeK}o z#O(0$P{2BShc2kYEhZQ#Wtysb6mEK6H;_cxzCU*_^@Y>XsB6YSbX!%45+Sl8RM|5` z_xbLxMPurravAh~JY>QWTdm^i`yHK{?JJIp^SDq7CN|tT-p!G_7jOcd4ieB0fdGQH zsZ`hwfwgazaO85HW&%?QCFCRjUl2N=D=hWcU;M2(Xvb45gQU07i1uB{Y6qUHwhC4_ zTxe~tWX6mughfQcmHz(6n>WE?w4yb@=?S?d589I&_=2nx?r?6B@|v20(E?iL87H01 zBLSdaf(i(P4&Q3iwJ>zGOJeVxfd28q6LGF$EILiG3r`_S!`cZ2&(o zlZ~AnFX)q@e6V;i@an-|35lWLLB{CiAcQdGa2qaeT8_Ubj9`msjOT zEI@eg`=}?b&B>*hOfb1a`hp7~cSE2`V?jM`S%~!OJc-ZQ% zM?2ijRr=4v2zd&kF;W8Qs`dhI*XG;;2)7bKmK-a@tM;t=SBwz44#_b9cz2rZ<&0;% z03ow+^8Sr|1UknN{HPf@V3w}Lh!5QqIPB=&!qT{7Bt$CKx3QAN=rw-yOAXeigI$6AX z%#TOJYE0c(BE{U?5;EH{XKfJ4avEyOQ0>6(zFV(}2e04-DBBHmfG%)B!HMeq)#)(; z`vmTTBllmtno99yV*1R9x-u&K8^y0vxA2|_C5Cv%oZPpeKFqgr-QaH+HcR5{PN6fT z{P*G;U#Hw8?Y%q7HSfGKYa<3)$A%sYZq^MZ%$m_5=I3*gW7%C8oiF1Y3Iz?YUAc$O zmXG!;3tB7*cHW?oW#`Ya9~d?3Zpq$UTpH~eMhe~B7~`n8^X;9d z9r>i7c(?!b;3MU-dAi}GwO#F*Cf@&^z#y__LkH{6ZaUp=biv?l07)w^}tpq9ovR{l%FuB^~{fb7gsEEy) zR=QEz=*+!bVOq6MhSCa*fFXFiSpJ4~%w!?UNg&XG@)cUbbn2@L^JMi` zPfg_8cYhk6-HVmRec>3;etoQ$agowx<$=-YKP}y!2C1lUYUfDEc?@jhf zHc__hEj!7`9vQch&F|@aug~v~bFS-L=akcZzhCdy^ZA%kla5sIqv1UJHkbX2w4H{7 z6;EDsR7TBMcjZ=G4Vk8{HNN|F34J)%)VK26$<4!;H7}eTTM&z63Ve=&=6mP^bgRB6 zZ^(+-+vbh*i3v>lW-MOgDNP zAI1!)Pf<9{=~LFm-F8IGg=-h));cl;+FFsd zoP|us5__%rQBtC!vm-b99#JWm8LI0&25V63N{xS#GP=;?jOY^DFY#L)C6l9C zbbc>ay*!h?L|>IYWG!)?{xZ1bXtj+i!jooF$bYTx!@4D&)E$sL^Nhw(^WM(Th zuxQDH_W=n z{ChD0%J8ueRS2*+lZ-GWdBbfJ2?+*Yr$HGA5fxxeI2pwvUlheV@xGMtu2&pFk4sTa zcA`?q(}4&_Z3cS27%ZnL-zhiLHvsU~x+Ak=&V%FZVR&Tv*t6(#nUvp?E0TSdk&!)a zUFgCk!5{Yr={l*eKrE-(@>k`q*=)^+KS5t*`vd&0ECrig-b4jWtlQG_JeJAz7dpH` zvKCG!iXt!UnGP5hDirpMQseCOlF^h?QqYyOik#`nI1(ubI$sNu!4j-ZQC>aSL`PG_JLmFn@VlY&!(&u8&&CA;1Z?9!t)Ps z(zi;SJu3oy+)mRjpk3KSx+S|W=r|IUv)~7{}yt-ev ze;EIVWQ~`IWM9?($~clAyW4m#(CFtYj=S$(dv+OKdVJ{EnjlD58s81oG-Ablw7tz! z&fm|Qf=~>1k$kOKHT9IO8eTP~gH*5cB-N&ccIn?%sARnw<*y^hPF>PV_kKB&ic5Yw zuwhkUdv!+INgCXe1GRHraWgDD)d2W^v_qY zbj~Pqdq@&RH~Xf_KZ+Ae*`6L}7>%@Nj)$2d)-MD9eDG8VK3vi-mJjl#o{AtVKkAE; zlq=V$kUp_QrC~!2%%zEv`v%#REzWD0%%=C%J9``p@5Wa7AS9{9Mj1^#aX&Ep`{k3~ zRNk?g{@Xm~X7gn|{{F01#>w)t2r89w2`W?VAG7uTcRRkk@S*m#NWGacYs!73qUX7G z1R8$(J#lpZ(k#ysvgy7Olg5;xuxv$-cbuG@Q9XK7yoeS|f8y<3!Y2nyPD+Jn1U|yu{4IM7kuh$t!e9Un8Ol@ZWW|7$m6bR~ z&~p=fpo6QCK_LPns{z!7l{4LQgAKZhis_jaSTMbF~w(Uagsu;hqbFYg#GE3Fm^zvBmg(lTTV;e1Q4ndAE+QGZdqafY2mO- z?|A&?`p0x;x#~^Vk7k5CzG?#8>mb5HE)DsG2wWle%~oz5OWfzgosjb6IY~`e(=Yx{ zD8l@X&;Cr|Xg>kpug|3!SN|c8i~zXlmkSt1#G;@1?A^S=*f~b-Sgvo!y72tn|1oqa zg6opq$EF82-If9btXn><&_>Va7=`q^|JvYtmvjbQtu%5^9Q3byr`h98TwUWIX89YF z-y#N zq`gcOQ|ONTHlMi6%=d5K36sR}xHmas75Q*PiD-Hx`FM1Zv@??^cI?sb;6UMjVxvjB zckylZni~sRPYv#JeZX%%;$lRkO>c|8S*Zz%T_&^jEnPuZO6ht;)ZQju%rPmVaka0z zdFMd1c(Q7CGo6u)Nk?Rw(IoAwmqM~gRg~pvn{%P%xHSntVR7fIq~?teqx?I}l5O}0 z+E$p{7P;3WdTe7oI60{Y?HoHlEqY0H*)_h&VNuhVn_@ce7cMEYV^c~g&wTCXHcycB z)b-1wVulx5w{wz6VwaUG{# zuc15;&wFS_WZvyak(d;~BKrk#NlN>eI!fjs2t)#~1aOb*aaHMymNt!(bGqvwS(FTO zHvjjcr|inDj2e8kQ@yI1%zLfwkh2LB-bmVeVK$qawH_gia^yn%1o1~Sc!6-1K*y+7 zt7ied8gOX69o}z^*a(l;^xSHP@Zr&Q2%jM4V2vW*St@ z!|N_%MsU{w2oGEai1;R5F-_ zNI=8Di1J^R%$8jk2gRZ{V)li$!pO&N=dU$2KU`tXhS0PYLDiU^T(nuR8Vy)D-;$RU zW=vCqr0S0ASjQZTWQ|r)!d*KnE2WMQ^>ka5$E=C92f;k-GDUxvtim5PoeKEL>{qD# z-uLsRNijEKL|}T^PDme;9Q4hH`$uma*NPinPF>~G&*zP-fB7Ya+=d8xYgep%!5tl) z%x)A*^W@gCu$Ro0p@H@B?9lT_+FlkrlP7kHqvx@Kl|F~e*tGz+ zD)G%=<0a+M=_{T~sy3Lmp0LM{nZo*m-w#=VnG!~2!^=VG^H|QJ5$_g7U#4_Qbak;U z?lLXXSD0s#a7Bo-97k-t9`Ut&SCHYGQs%wP0V5TBH`k26v9U2FRi%iLyYIW3UsOA4 zVmta>#7q3C)>JqnjPA>}e0rG7>Fvr~s@-|G zO^fN~mwPvNEFL$%_uXqsl=Sk{rU==`*sA;vsMh`@Jc(1-P2|QnXBLp+;KSK}r_1qrYEJB9lcwS0 zCgp`r2rweECiW?Bvtaf>;7%XcSAeETBxD(lKzcp=@_p$hSTNvF#{9yT=yBDDE7imq zJNzqzj_zB#oj&D+>_1Qxt@IHMgoe;`hqlz4ue>~CSKf2DH5 zYgpyN@t!Wk4TyX29dDOD)OSU^`?;ea{!D7hhb}kLFYkz&ip0dCH~%_d`~_-eV*)bl z8)iWT^mBGrYB%Zkv|*{mclwj)roN*Kj?1g~b2Wp3p?yOy?Ky1-Ev64Zi(Ab*hyA2_ zw~C9KX5)Wa0PDO8qOPCn5f1ceiv|>k?8O^LILO-c&i>x z8V(JJ%!TD!eZHE3?zPZQ*9ozzwR(8c6#GVBzPDsVO=vb`Y$~y6eB>5FmIN&#sU|&~ zWsO~EU0+QwD3(%)U6~KFVZFWaooV;CJD309-?Q$A)0};ZGWj}>6}db+3I63tcT!IN zI0zEmb=?0-xMctIVy>8mzV7?zkb&9$`c0iV+e%FwY-WOdyhkzUN~vb89cpWFPIyy@ zkWN|?=O`mV2V~c6&SrI?^41W&0ehob zBQu}_t~8L5-^5)qD1CpMUZjy0Yb?Z{_a!{}mt0SX3zf>c1I;uxuXoGn?{dr;F;t9* zXj%FP;%Ur4y>OCZw?+MDm81eOMui`sM_?|wDA^PT5e3M1z_=aHw*?WNgsgnD33rij zckSswZJnu=6(liE{rvg(FAb6`#x`*$YqL(5E{c)KBfZt2eP-*S1T$juXFiR#&B3shEDLXSrdEA@OX2U zkh1hyOHL45(Nnv$e|8}S?HXdgK;IKC51b9eX@ZaCzdXh34p%b`kr@}F)xk7PT&6C^ zxbI)ejoWFIalb-^qPY4sWwdP0fD(_w8KWT#<_+*j!&CA3foj3%wHHn}6@z}MimQ)4 zwud#x{G>D)@d5Uox1m1izH6f>aUUg{);U@juLa>LXq9HtINIzVdeG8QK8w-dVrts@ zvh^9B^sC1jmfY!@kK;dImOi8S;AIP%Pth>#i;25R&nhJkug(iiekzU9-tm!(!`zV~0-f6h8&zvVW zJCR*2R@id?RlQq!^t-P6=C*vEoRYLq9Q*gI=J zMpTF^(Xp268+H0n{y@6yxf0rxgQ%IKBND?(f#*3I;r%Ox?Hxb|xSTWkrxPT161n-x#i4^##-l=z}eeOVY zvyJ!La>5Hy-*Zu5_#yQr7)U>A&ow$~pMxi$6O*sdUK*6xd0Ko1iM`O+YdQEanSYKd z)iTkOF=0H>Lk3;_E?KRL;Ue|sH)W2rL&G>4o%7fw1Jn>Or-kM@ zQgN^~h0V3TPjuGuytiIuv3g^#>^P8_S%`lSy={WxHl`qp>D!5n1!}h8*9DEQf6UTu zZSl|koNt}wZ+l$edrAMoOaI?1p<7do0dWBoFWQ4|on!}+9IyhUq=kR~nS37&9Z79c zn@_e;w_5$cPgfnb0?`_cY@>$|iMes#DXRtrkg zpYY>8N3IqUp%Rv^*9smoV#Vb z_#icaa&9NTp{LS|d9grc@2m=J7)XGY}{jd!Ga4ISjKbr+N|t9CwdhEG)WwH@>y$Y z-27F?Y=p&pP6ffp{GUzL($w_P2{~jhpPx7IuS+pwMAFm(EvkBqc(04JdXfd{&}tMJ&@z+7X-=z~`wDk_ zIoy~%rffV@TN?)k6`>2+xocKE33z2=5Fvuwr%{Y$j zrC6#nv>!)mIJnA-OTx=Bsd)z-xZg{^f3uQ5NA^p1&Kvr~c64T|=Bj>Q{IlgMsnM-r zd}sFlHfAe2+WWk}2uV?j*dByOehfQ1A}>EFTLTwKj8N3*;ia%b-fh5@Ny|Nd%;y0pgVH%Y-(fMYshQ%$m8qWzE6`% z^W1ad{qS*gvFYr%>ZHMy+Ygv27X2=V1CNid4!h2411FEy@tXsYoGm{X(nSpyEq(Xd z4I4&QOy?@(rOX#F?|dkKfqT;A%)B!*z?&q8{y>pC&)M+%a#l>&;t}ajwwHG>wRMB? zL8-o07fgy!JWPN0?G5P=!8)_W4o3D39Q#!{<%7FfZwxgu6RV3Q4DIEw_T?u*b_1;p zpwvkgupC?HD=M^aZ;4+0)?hyyCJs@8+MMZo#a>Lb>uwJ|PhT`}t~F}RSj}4@{m>*E zMufLJV_v?Vu8IE$lpaYx_=&F_=hD@jq0j;emjNVXURN4fSAX-p5Fe7<$GuMeZVkZs z?X}Y=dGO&IXz6#_ri94ey3!(%RBCSNE z=*lC99SaTk@zTxonB2yD$?W#REx??2fucj?B5ktOQx`prlu6NW=QT8oOm8*OzdTev z^widD&Gl;x<8UV+hQb%?t31Cuj}>vDe(e9k6GX+uTaSFMgQuEy19-}tng;7<54k_! z=Tk7LPD~7G_#9CG9*(=4aYi{1dNXX(N0%+uQ!;q-L;C_|Ue%_caNjkQqEG8n%{vN; zA(_a(UwI?jS2Ztvp8Pr-ac1{Rn8kSLA5dcOW`04`y=6?~YddII^gmThB}DRQtP7TPe7WxXlvv_H`4L4&aMHi4#Qh2Y2ueIa0wt#npcK`#ewM&+hKyp2+unjFg*lm`}b=-*^38p&bSy zCxlCYEBzU*ALP;PKMQ(699B98_^?;)c zTD_J#Qy=_awI&hH+e%W$Dl(3dlZML0H_&yiI&Gab4gGs>>+^ShUh$BMJVYc<5V(b{DKcMJ5j`#a&Qq$)!MV$Bz^m zEVJZw*?sGONzAFqlEE)Z**~NpnQxp-NkCbL89=Np-`?%&_$a&(e@fJy&fPQG>W*;$ z(SgoQv_Re`Z-3n2xT>^VNz0evxtnRuwK+JM3i~gC5Hu|(_^WjKB1Zj!ASl5QvAirHWxxUzUN4=PJ@~Wn`C7heyd(IixMZVoB z@FwXwO^9(=OG>^iga(&A=Iy{y{D~PZ|L6@Cdy)El z#JE*=)5pjgBhPP{7CdGDb0&3Np2}y=pRCEj1``W}Ie-*GjW2TnDGDp?BD6A~I>X`6 zE%~r>CK~aGJ{r(rh^dAYOZJoo$Q!$(sr5(pQZN|-3cQa{=5U>Z_5x@rP*?$vUikFZ z(7yZpo14Tlpq7AN2TjiGCXJw(w8(+ScosQIXjQbADx_&-r?QCRf?~C z`2mk|E&oBjF6}|v3lYKM`;O9n2d||A3Y(MU=|)hEx44wCNe_2gmty?LqMmDXqsNVa z`a@~qis`69P-Rad->Ool#=}fvz-41sy|oBtB-xXNw4MxBeHG)^dF zl9IwSf(7-qpW1KRmdQ#3!$t$%DrjzGCElK=PAi>8jidJ7ePA@$TL(3nkRS=@fcO@N z-pRWH_sgRuMGGdCe>MRd^{0TqV&**4>k-Vt5)5w~(Gj_DDe#}UVk%UoIVO>5&j}Zo5!X=X zbY{~NB8bLQrqVSuy!zm|GkF7rD@D35LynXI-_5uJnkZ3dp({?27ffB0(Y%gJsGOG% z_#YU=MZ+4UrlvNwO^ZQ`AKHwkrCo@(L#ZWTvF!u&BM=L@(FGMjEBvHiRK{+;7 zTNK9K_?0GwnEl}V@I6}!V3vt!Sb`0D zRo!IWoYQt1TEHN%3N~N8X5Tac%fWJR5!whZuB|C18%=IPEvs;c34#9PGv!~|Hz6M; zcibA@BOqs>2fD{bSOvUo`M=#E$9vk^`bmp^s7m`fGUT;%@=>Y!x7@WeXs>^KEikpcQIBijIbq*GmPcGFF ze;B7Z=V|U$nDfG~I0!wmCzkI&yKlQ~Yr28Zb#@!=t-Z}JVP3~W#fF*UpXf9r5s@S5 zZID)6aZR}F$N;k#wi#1hTb zzvm~5tCZG4TPn|gd0*CITJ@Rn9+D&Uxc?F(A1P|{ovJB{QMls{^+t-+mZ%svY>lQZ)4VAj8e$G{0*_Ii%YAWAncz;@aE?(RsrSz74BuA1LgN?td$~ zfP?zGwT09!8{Bcr$aZuH8N=(aXdOv@h+Otn|;~fa@c6DJQn_BSa4C0VIfR) zXP*iI{6<3Ca+8t(b=T2qXcX6Eo~xv>VA9AviEnfVo_M84^v6~4BCLtGk~(ae?fiA_ ztMJ)EFpn!%)mR?{c;p13*rsUS z#GxIUMtJ=!IWZA1wg*CnOqP|cZ8(I=_4bB@M34zX?A22vW&Y&$eMu$^G_bb<59e*c zcx!)Y>HT%`@Ana-TXz8t{v`OB7pf2Wfpn3>A$cqxlLMCp2~p1Ert$Q@Lb8zV4aSS2 zackog=KtC<;6yxK@oF@PghPsZ)b7OsA7?FL|DsvPW8Fztpn7V(Pb!rWQL<%_ra-O| zs$>hI3g{(s1vUdfR-w-bPSwxH(y%WC@X{<9}G6HrfGP2{I&;xGHFLmY-I(TPf74UCo8tSqY!m%L#x zX#BC{31w&@=72$iZUU+%%q-%SG4v-Pn;y1FIj;nzetQ4U4GDM>=W~(gsx{KPv{^K} zrp=d{+Ec{N479Ey*{R}hR&P*#uwuPe-_VcIK-8i}ZUePGnI53E|%Y+4`)`bVd0m{F(}3vDb zEw|P>rmeGhpp*U5dN_v#3+*~s#q3Zr@?lmB$REKz2=>s9<3yj>bVc0EyhK7GD|=yC z>2ur`f>=}BL9;7OB8uj3pN0}IiE^&jk=pa`R1z%obw-F(_Z|O-kFD#_Sa7uCoIg6&Jl~O32j@#BxMBz+Ab}I=oXs(Qe1`W>b=wD~-GGe?SjS3VG=H?jw zuu(xT?yMB#3&pOiyY&9~L$|yqIRNdn0F!){wE3@KvM9-e&$J0pG5Epd>$6@v%fG5$ zL9fTPqyX%6|1q4o{;a6h5XSZl;Uh_H>Eok6>`*nu2@@=6q7cy?ix$vk4%Hq&v%+lr zh9)%sSB#?D{tE2#6KXwkpl9M=LKKX`jSSL8e&nWGJpiH0RgBmMpuC5+Dfm&)wFWPj zWsx`tK=a|?*`yIl1m zE_ZdZSr>|~7OEPK{LU{&kMRlW#F{5Jhkj@J{G;$ZA-zT|q~N-=}UbttxWIjH0bO zjT)`OdLyS{Y!v_U#X>sJ10EXVNn)OjdEo`P;Bp;+Gk`Un`MLIYZY{NYD!`~^{@j{S zDcpwdq{?#0>EhJY_q4z-1>a}wQSX&fe_!*H`+MCC-a|*;_!*~T1qT1BuB8f+=eupz zB+d}|rIN^v{P75X=3f){E1lPxjU;ColN!LQWqbpdbajhMeMTcu=6H-xRdIaSgMyDg-EF6XxDx7m^SiH}du)qb2@H@$v?TL~CYw272Dp&!Xb}QcXar0@ zWbMSbb%ZKP-ZDqE6QvqicY(M0hC!c26})!gD}r`skPxph@mmhN`ZRG3uy`FvB+W)$ z{#+ix5vg_ju`+@TvZxO)l>3>W=7p9{W9&J}%E(YBkeH1Bz${yVE`2Auf-6kXlvIou z(VZKM9(=ohsiFDse&Q3a$e+cbJIBPmB>bL=!@^jW0%#0!;>|e?4?u`5^3QH>xe>EV zzUc2z;9%IMY%*jeWl!LeNbdR7am;4w$sC zWQJ0`BS#DU((kHo-urvq1>iUnh-?JK70C;Z&M`=w;Cs9z=jG(|5Q=&zZBWPC&(;0; zb;1d>Ldq-NTR|cNWWs?PjHZnj-H|!%>W4hFlz*WeI&np|hT{M)-cJuN{Blq8VC*$`o*NB?mIB!zkF=Wf)!C6FT zmB_wjwUMC6;l+JMpJcA%o}R0pjrBh*K*4rJ*-=BeiFn58G|iF(cX3P&qBEjvIS19W z%hZ`kRhU9y@{1U2-UF{SqYd%(r*F5MQYMUq{UX{Ia4k^{>n0ZWpUYFJbA~zeDhq#C zvhQq3y<1K5cLy0v)7)a%;PA?jKG3OkQQA=5sd_mYk-uxAv@x(6pUaDdW?_NKlONli z*PWmh^p@gDCE{gSmt6~8GaY`BmMu_e?UNVOCSukD`Z{!`K6GtU&fo&k+uHg zv;sS)EqB@1qAh|56J|kAZZCnvr~D6?Nh~GP7u2b+RK+i(-s~6`n2?_cR>($BFnj)x z3#A{47gDZv#SmU!Bw84JKRlKdry83(#Mva@hxoIm6ts>0DwCMs*g=P zASTRwo--_3jzL%kRS|4l$q`BAsJDE`P~@Z}QU~B6{xa=+i#79H4@OFOJmHpt(Uac@ z1X>l(7%>~b+U4zC++Yk?*Xa7w3Te(h6PHk7HpFeHUw+CC4MiyNijW{4XCKxe(=H&V zAq_rXxZeM1!toPMjaDm&_iz?Yy>Cv+HX?%h8n=xWhT%@gB3?Q_+3!t-299(SKe+m; zZ?Uawf}ga@5fWv3dDXQzmjix5b8T}}c^YUT|ErCLix74aa+cD~N_dCl4AYW^0zmOp zu>R$jHeNGZTU81_uXKf+;dvmoK+}J{kc$yvk3;7L^bdgY-~1Ej?1Pvu2?*wRkLt&= zOwou2N1)C@NO8{@3^Xf0(6%A;&}JIUw95pH(+Nm2pX2PESYG?~SmkXTZA;T|$t9$&mR|E9 zhw*3IE;hwv8RCNC-HPD=UpMFt1@P!&p~o~z5- z6qoHGcUbq2w;PYs6@HC4SV-j*D)b9>ukuT3kGj_w(p##|3*5kVaTnYOr5#< zZKvek22H~74U}jZ9tzLe%@4uJ)Gl+O;YNGlH*;xV&`nbz{fVfiU~Kk~{QHG;e`3=C z)8&%-<$L*@?=T+2y$L>9XrF*r`N#WS|DHy&;uytTg6i2yXOauE~s!|tSXTL=$jF?R0_Sq2iVFU-|T!Crh^ov&A{gZU*-zg%K z2Rp;^1+2wx2$HLHy{sVC>SeZIvY)cZ#ljQ`#$eDj4RjHg_gfjcTgNy`D$i^FL&ATJ zny`@3N+SCyyYaN}HRPG@f%#lzxBX1Ih2^sMjCTR^O=I0(zuE8AAX8{%vZ#A-=W&S^ z@ghCukkrLnp-ocqZ(VY>Vrl^XPDj#x5ss=?OJL9>4EFWvvM*77igOEq~2O z`NB-~32_Cmd==X5uKJ*JKq-8>LA*@-xKhNp681u-Sg1;Yrx?HuvRa^TMFV;zvz}| zB6sOg?}p1mZZ!ZZJhSjt=}52^q=cNB$|+80nq2I>4ZMel-S5YpzCe}A=e#l30jrth zkg1=aU#VA9$7M`hiCaBb2y!2@0uvgilaZtq$`Xgdzqdyw9CN(hUCo(k0eLnyw4;I~ zEo=tT#^eiUQgF|oXe8$s_J7M^&7R)+>?PAeI*f?yGKH9PekFT9B<8@Clj@ror+X?X z3T2ZLuDg6vYVKVLb?G4&aVFAGB+*XQ$sYxqb6$FjB<*~8zrTDbp6w;*`FI~n zotvy5zo?$tJk7Q5IYeJ_p$goXszM*%_^pjhmAu+sYTs4s%9H{I{=Cia7(aQy;#+AS z%>1=GO=sKPHJ}do`f%p<#n9FmIB)uY!b0hAxG^qrE@59VYx8e_@Q3ciD>l@()L}ag z8P%O*>HJV9cy#7{_SH`U0%}>+r7r}p|4LK4Iq3@E`z_e^0Y15oA(*PN92QhPtb*eQ z?@HihV)mu3|+&pe7qc_6%V~Ajj2@EP` z7LS1P;$?t;AflA~ekHw8Nl3 zw(I|%t}5w9=$9gB*7X1Gs(&5&Eu1PE(FXf2kpD`7us@Cvht^O&KAVB_!}l+HXcV0M zV?TpfhH!WqS|BjYgaQmTaD9WU6;&|bYGm`!fZ27#H4W$vEqgeg@4mzJq64F6C111< zcjq+Dz*BOm821&?2ov-fP=LVw3#b%4e7yonxZju@Rl*9F&p#M{@(#6`X2xyPMDU8K z)mi`>X>xyg-@`>8Z0?`NIgKxZqBBq;fXDZGira+Rk@S{~VSf42z>J8CQtHO}^GF+3 ziR{FGL|1Ebl6^c^+e|3bwFT{Sr_ne0Zr^(}`DsP-e8=zb$z|ZxzH__kjclxNtUi<> z{M~c^?$m-)tLUNEjYa-s{&!pYae}7#VuHz;W@xQC93I_}phjxfhMKF1X(~A|)XG)V zWt9e0S6A24o!Y8NZI3a^QT9ykf5beFH#{K$U;Od*&ZXUT%M&DVd%tH5Iqu0gSLz7U z159<$RRpU0`eQBmP8?so+AQT~)ql&==UFsK&%g>%^#-6}MjkIlIzy3ty4SWCw?V@v z&r4V>V8)oT%rJ*K4M5m{k{Y9u%{>BjGS_dVg~Wrak$ROfl7O4&Pf{+;6mNCTz^6u!OL>YtRCfJG94+G4`x{{L*Ea_%Y{hGjC3FS-NtMRFe}|A70(j@%Rb)O} zKsrPB_Ob;1aB%4+Slx+VJ$h^!jU8b82?gI65#$$M&VU$Q0=kVtj3rhHy3F_XqIZZp zgLA`O>-Aw^I`UZ_XEdGDctJ55aJFZ_SHFC~u03i)&Ou zOG_sNi#;KJ0+Kvggty82EF$zbztWE@gFZt2vS!iv(}j4(_#W-<-T;3(kO$0zU;^ZH zFdfbv#j`vv7zLetcuo!j7*JyFVEu#LmII-cu(Lm{5YFserdqaZXobmqI(wX@gg<9=nr zP&G59mmnHq6uUW+*{`t;;#fXZ$c!h!aO~7Wyrxh3K&zN8ADZX1)>0q?Zs?FTy zFp9kYj~xC=Iz8)>`p0*;itl&a=6&2o(rl?a@aVhro@D@ z-c9;eHO+R)(l=ntqlyB96+$oc=Q{ddKk=pGq$|m%VQ?0{q$@O_7f@nc!B4Efa1amP)faYUlMGNe;IFWxc8vu5C5&EFe4D&k z2NTgU2YsQT$u7vsz#OT}U(?t)@aIp~9xu3{LJH~EWkGxY33>ezn?@p$Y&kDcn_<9$ zt3sPIA5ntZK}C>bFl7M|7A=8_+wFp*f~sJ=B`H!~=n5zlN*w@q0&qTm&YIAaWSu#> zxOos15YnMsH3jBK)}fCe?tCezF?ahm`a9pz+&Y*jgKEcvTB7l{Jq`wn3K87QPk_--$Fhi z+;@8A_NY5YP^$@!;eFM5i(h9q9ag->4(IAmGlmI24z;whK=4p{Krn z7aAUyFc;cF_en^H$%eQgc;$b=P*U+mRx3e~(Sb_gJ_q^%QS#~|%MeMV42g6QZ#Y>7 zQ&$@HliX;frsK4>!od82uMF-_h~*p+~v|UgHIBYZoX;F2PI6|tRGefA?lV7-Y0iyaPU0 zyV-`qx8k{Eo~P>tCnJeXvQX&`%dX_{{JUNO$QmhXQY2-6Q8FQ^6UJuAe3S7Y$gQle z9o3^PP|C(Wp2BN?$mKjHK-n=V*JY)iKPIM1!i3%p^ ze$d5+3@2l12Y6vAzxuMfhR;2`aj=HVOg!SK0Xt(=1@9r%-|BSwTuRqh3K(82KSHvW++HH_i%}g)4!A zg9fQ5$$~Eu@|s}%Fr;vMl>#`yV=F_TZ?5}YVQqnT*gS*;&?ol&5sk>6cN4z{&Ma6) z;ZlM@&csIv?Ga%7Ah1#^04oLDC@@#Sw$BKfpK5y^83M?$%Vt3?f{hu|l0;0&3kRt8Imzq-|5_vRhF**OEyWVwPt)emII zgrX-RCtd&n_Sm!hz?<^0DZ&x%rD zsEb!nQo5agb+6n;9P+fu<^3_mixc?I`*`p?yt_;UT~7-99OB~$_MD|_yt97rNHdd1@(~Z5nQsE=Lmb?J~gJWI! z_&z9?cYNO5oy7G1$8mOEByF9A8bD4ytcN!77txcr;^ccjnc<%JH*P9bI*fJ`-j5C4 zxAst_(YxL_qNL!hAIAl6F050#u@BuR34JPzvreg-OR(99^6h8cqn8+>p52+Fxhamw zfwOB70<8EYB_+>=BCbz{p$f_xcPZ=zjRq|63a{IrED{On^p;?X?FVoeW?t~nzM3p$ z+qqMVG+$s1HfVLbLmFf|4ZAi;^p;0@49fS=S!h|4t6**aa{I9_ADS?9-vAH^S_}|x z9QrpqE@A=&Ge=TVCg?zT(@rNr*_bd^FYB!xlny_#ND?UoMFjvKAZ8S&0b&RU=#dVy z45;WMQBg8`0Q8hqYWr^-8D=S25LNNTv=_+ZhQhyv&~;@k#`%Zv5D{iUScM=Zl;MCv zWlR+7Qw;Pfw4eR@mBQbWkS_qz8_0d~1{*>8UJHR1N&i3~#*!mdAnZElp>Jv7SVi|O z6VJonU=9iqV=@J6FMO?VrlJ8d0CD1QlEhz7b-*8L%0`PX2L+=P#TxhjuzC+(&dT>o zltdHBVMUDH9gB`kZ(_}ahJ))%i$*Gzz6IzoWJdaP0ANxyUe38mtfI0MxFE;q#D^+` zfgrAl{d)}qJBI@097EI>Z7kTSyULi{hk%A>-I~0i(*pE z?pQ?zld6}<{=*aPdv2r55PcAR z!&I2cpt#>2%Y9*GVVbL^GuC`T>ss=e;jps5hdKitLF<&7Hx=VpJ#V^qVwmS%Si}p4 zUn`~T%4XRwK*>XO?;ZiL70xUDwlk|`B;6hos3P_SraBWd&(YA8u9|9Vdw`k)&JYT` zn&()O5tUU{ZSc~Q?;-r+=;Xw2dBPYA-;Tr8#S#1-6yrI%337wdj}|G?(sZLmCxc&= z*V~QIocyhpNey!tp@0cGST=b{G;``zn;<>fUn*^GD*Tl*8-cH@$Qup~9+~pa^P1gO z%ARC&9AT>aCGNTn&PooEGpqyNkpk{p$aV9wzSoPwrWP`QQGXHPqq5JmiXBJae zztaH3+J>l|MEJl_AW+Bt)xw@;ItN4&sCQ1qOif;V>rGP;mx27b!ukHKFQw8;on z4T{Er=YrAU`VKkgN*w^=i}RPkthobc7(QQcLU1z*Vy~63Z5cQl=1cl# zF*mKV9s|q^@(l%eXH!Rxf|W-4F~qZcXpV8X7Ec4G3$0gi{rxqz&@%%@drakM+fw-0y<_>Y*L|EFbX#a`&2ArS&w_@imtX4 zh;%DVmh?g_Ui9ZLr;wt^YfJ$&vL_j{HV-!xq^PZ4k2kyWpV~mLtX2Sp-2D~;9fD|M z$}z_TN`$G3BM_`OZhc7nlg-L#fdOcsXUeI1fxLcJA!1+LIaCXrHJ7xCTyIH|Fh6ND zxcPY9aUqYXB~{ikq^IV0PFeNke4oPkS%KYNV`OoxN*83x$40dE<14k_mO9v)KJT)G zR&g*Xk!=Xznx^aiIYS+P_*Pj;&VBP+!L}YdseoYdG1nbdG@hVivj4}^cgIuRzi}f( zNmjBlkC~lB*%8NH3E6wkWRJ4<-mA>4tdPAOtH=l`WM(CM^IY!d`8}`KegAXU>voQF zzMs!^y{E5Rs*>=r7VIiV7c}+JMzYN0=}LJcp=5_2S5iNt6QdSHg}eh>&-7adD zI$v;{$65bT1WU@TVNfgdU+n@{fji_)nGG-fqVq4mR?Xnn;9x>$Fd!4aRBDuTZ*Nzw zDa~G99D)l)!nc=>&u$7I zM0?}itU~_7h=v)FG-<&wEseC&b)@Io_Z@PaYaaf%MVJU8=L6+IzY8+FYZ|+bwZ&Q; z8~h9$-8THW7E!Bv!arHsR!{eWgd^NC%*Y&%O=gD9&y1tv1}qXv@+U}QTL7uOxcZXk zgyn<)&j#n0cG=8OYqJ`HT_OS5sj@0hiJbu6k0&dif^*08X1}e$e{?cnc`!e}OJAiphS5E~z^q zh@Nj4vSFf7kqAGvyC*J>M|T2P&@~EBr+`%5>rI{^fgh|ZBb%>*;M^4$eu>9}9==G1 zNz1FC_9hmvr3Db_T4k8nU?JkIkz_8jAHvAP_0OzlI~rZ(GF}y&{Y}RIT%ksb#}K4O zGdf&JjC~;>IYEz2{NjyX)WW~k^W_NNe=okq*1qD!ji&``kPvNrM0^z4+{SUv}Q{IdB4(3&v2Fj2y{1*`;MO6 z({1w_4ALMtC)Fx7`0g7&cBX_9jJiz^7LrbjmJY)zH}ZnpkCez&SnPCRF@p zD&BE^rYS2<07Y5goiYb~&l_X-g>JinCmm*@JB&V{ZAnZs)glGe1*9WEy*b1l=y1BS z5%$;GcE=Ho8c)~W5u*#W0LzIcd(eUa@SYD_Fw}dq!9qN``e7Fup~ieL`Wum|!;7<| zFLVRD8L<7D^|sV=68&_zqxF=4Akik^R@Qt0+Eh?0w2_i42@Z8s#C27IoCdPpq06p9 z{%d(f7bc0ed_;Ug)xyGp+8}h;<{@5r+;-4ZSXl^K zLFk?7?^X8u0rcfrEatGss&o7BL!Xr`FRt4*CP-%ECeOm&Y~NS+CT@d9P2QmxXs?REo`Jl^Mvr}1fEB{ zAA$eMG=vnKC$ zJ#fdl*Hg3ACfj^6&Q0KKipE4 zCo|}__uYBF#H?UXvVcJ|eC^VR<_p>ytvHQyzpuT<^VssLg}D{T z7gQ-Yp5vkPPbtP_v7V&nc?)!pdFc#YAEjOPr#x1#Mp8HX2Gd-=v1i1)#}@5{!*H=S zHKh9A%6m1~m*{XF7N@6*-oJHr^nJ|}HuAyL2mQCPm5WqBgr;UO%9nT;-K(iH0d$U` z7AYv)Wpls*0X(`5zi0mwsrj*Nz<;|h2y1Z$Jk%V4@MoS5}lrxPduNGuLutaWW??PRUwoen(zuH z;?df$#P;Gc)@riPyHj7K0i>G*YQ+5{UFgT6B20=!Q-q)3ejS(rEK=Nmu+HAmWMTRO zS~y}+^yg?bkpL`dnj0;0pqO@^80I2Xll-1bOG}5jGvL)s*%bV}YFwj_eK)$w;+~mT z7OEdlRmeTQb9~0SnphFrwZN7=l)K(wbcnMq^YIjrrrd9B@EjV&dy`a1Pig~byTyjC zo6Djav_^Ed73b?}gCY!VrHtr2cTuP7eH~vvnoX9O%5*94>3P|8;oW0+Pe@1?P4{#{ z^M3x(n36Xo&(qu|2dT$&qNmfrUfWjL;itw#?IAQC_K_@j?Ze0(ycQ4cMfB0DSMGT3@N%3xr3l!5GUz~qug?J>>G{P5|C+~g;{CXlt3^uOX~vkyXrqVV`DOl4zb*Y4 zfrKYTEUn4o(U1;5n-&Sq^rh>wzWDYFPgpc+Wy)qx(@^H11v$Ucg4|l$=M($a|HuRK z)7D*dCQPlZi))vZMr)dXoY+87HES4sd!I+Jd+pG5O-oA!4a( z!BKux-7kUL1r#jcgas1{nI4dYzobD&{f2X4J7wEVo;TG50@U1ut|lk>_weq~lnmoS zX=1icZ-fw6Z^1=yB{kFs9H*5MDjkhf-gtuLAINgsX)E8Zo5-dr6B|jRn%<9bCW7cj zfjmqTZ~ZJAK7t8?_V=hJ|K?8%(d=lZvUr>%ehhjX&sJGWW5F z+&Z2TZc<)Q16|~{r?b}s|)VLK3N1)f2H;pz;CiyMpxLJ1#LYSMD?0h{IIkb)gh(fnI>yXstD0p!nGI zpMJ~tWd{sW?)~>B?RXUnk9pLX$u@p}`I{M>h2V7~PEK7R@NnK;`SIO5g2~w$eN_v^ zoSZu7L83}gIc)B*gVAS`rA^Mu>ff8qljf%R`mMcStCV9tTK7FR$|vQGzFG&O_FEt& zwvYG7)o8=^M+d>WRCep$;gV-yGcDSiquvm8sU}&lL{sR*_6HdDx(R_`C%?p1H`%Ht z%yt^&?@q5?bs2EK(_~kL#j|c2o{9W!B?OVl1M-e`G^*e!4pPAQ3N=c2$Odf>K%EES zT*5J3Bw8svaNxHa_!U@!$@Xvap(&TW{;;rrE1LHHfM2@u_{#-6NQR$zjJUnI2Xz^MVx2|xlQQf%b%stsNL{{CNv zxsA{;5Ntk>@e9KR@`sUZN?s9C-J3)T)S%r&xSh(3#kj+@y&~J*`jsV;Rfuo}r=%N9654!FJD%Me=>!1uF#V<@gjD z6UkyBR0F(}cjE6S4;ZEu>;PI!e90y#3c;--{DMQ3n)1J*G35Ima$IO*v?&&jCchDX zw8n5T`T%v-jjH92Ja(pS*!T4zFr@G+crUe^9jFrU-cn3*aLmDsnn$fLE@gXR)`ctj zubu(7<8g9!eb3#G_{TqdqUC*HzLSPb57i=2pbZ|j+?QjuC6FR`b}8yP0pm>6n6&gI(j{c&5fi-#aa{*gXjukJ7+EN5@#-zGV z?ac>{@+t{fT_xZ zqcxffDw@;zQLlyR>*{i(E!p#rA8)yBsfj$NH?x{7^v9G2&GbW1A3G*W4$(s+aUf@?qX23W=f zKdG;zJ#`=X5y{TQ!J2>8Z6tExzGSS3rfc>&WxO<*^6in))?Fz=P~DaAA-!+gL?fvgt}lo41I z$(6bBX1>{|TJhm@#9Zoe?jFfUfe~8{o8VoQ78ta_2M38liQ!IvhUs8VPF&IdQ3mv~ zhl1r35Jg+jFq&TlqyY;%CJv;<%ONl#SwYQpK5Sfnc6*#c&?4Tz6&;MeFoHvw^35(a3R65k7aoC+loMx>LXln zMnMUHW3gi7UM3Yliu^5@j#1L=o~p)N2ak$g-pv_+ooOjupJn%?%#=H=|?PTV?WCASwB1tOTbbW zt1(dyl|`nFqxo#lUfjFfS+Sqjzlf)FWcTNmowSU0JF^LnY^J`P=a`7C#KSW_$jT!` z;nqhW!5qqU#k*acFSLoy?5E9uG1@G z6)hTd5XdD)72opvR$kq&gJv2b3d4&f{hVx(TWQbsPA1};{<_?4_7-K+!I%BuPCZIh zP4J}UL$6YXKs&4x)6>&@y!Hmhr|8v}K3&l;Q_G+M% z!vr#qKX}DiH7i>Crel?%-giFCh_8#+ZCrXwiR(+Sypa8Zf7yKTj-MRs8^zHC@Nz&e zkE3I(QKg&sP-18<3qcp#wGVx@Cck0gkV5n#beJxUR31|YHT|wc{UOKpX#65d87UJc z^_ub)=ywwL&7mg=Or3UHuQb_6+_1Sh!XI7x@;ipPU@ey=43d0+az%UCH#0K>oR%8M zAQFLdDDe}p?AsAiTKXxY7{gRV>TF*z>pX(&`bNYPlEkC=MICkA?jhFq} zRf~7Von?Z#N^!Frk3rPPJ70{`nDu_DU0Y=E&9mi~QU9)A&PpO{Dk{Vv%cZwUF-@Y_ z+nhVclAGJQX;tCS!NI}LZjqexm+X8)ys_|e;bt8jtJ`N@ST<3DoWh*J+e32gf%3(l z)C#$ME)S6dro()Dq9+VZ`WL1LNy+1`+Z##;H}%`xcaZZn520$I=}_-kK2hJvNw|m} zDG{R1@xVMv&?k;A7EhIz;rj`E{@`M`zW=!FyETsIOR9A*QeWe6AJ^!bKzfwkA%0TU z*%Kp$h15;XJi^-djyBzlVMN$ZvmZ=T=knkcZkcPv^e9&lMXYKn^w`wI$?@V%*?Ow; zlFFH;XBZQG4rebb`({c3^|Ng!@==Z{?-(g5XP>6=|2yfMB^+20!{P)L&CQW8 zG679~{o}hKkrzziKv5wX-jTozs9$6OVOjkeskhP<;sU%xlwb!!Sx9ol8`jM-6HAd9 z_Ud-hwfY{E7Ka@nbMn$`E*mo>KO*{>h3A=)6EW{Oyjdu<#0&q1a@-S-wgW7z#S|R_OXSAW2JsSj-Y>5+6{Qt4;lCoHJ_Rf}37S5?`BscI8qucx zwGy-9ru%)9e5x&A*&tkZOPEgSme1e6##A4d)R&{JDbEf>>$4*A7Xon|F?<~_vF%&V z34#iKOY;=Mg?=A zOS#2$(R=aG*~u!3=DNwC=#%nT49IABw)L&h!u+8JV{r4caADyN!Bd4KHuAp>f63Bn z+vA_0w=9braqnRKv`O+1d@oG4yEwBKNzY=|F6)V4{~*<&UDmT^l+&hN&81FO3b9x@TGP+lmT?HUoFS41 zHeN2Ih`H!#Tk>~U2F8bZ9c8OdY*9$0tl6^m)O^4K3BGPxJB@jDJv26JId1` z-4a)}>(Y8gN73dGNXG$l*B_skC>~{kvptCSsa-2^H+ z2vG&3fp-1XV|W=5P5{ifq)J!c(>wA{86wbCiRO|Po}VnlAOg7+-BwDXiJtK=_&V8k zJIZDt$WD&^(Qh$*uUzFJ-YG9MCr2=R5@;J!d-b$1wLa*tg@oC2wmSgCRh9O+z$b6t zo?;v|K$ARhv?8%BT=xh$EV|FS7wsMK$~m6;-=~iYuO3s~z;IF$LH?_)Gn{b>Z%9To zQ~$1a{v^%dp?|)XH{R>ADtsxl9j_GU`D=YlqKzGL8s5}#x#;UhC^rn#Xz|5W(#ijg zyu0)Brr<}eeQAISSne!}R`B5n{C(3~f3*43?x@C!Kx*n?;q$3j!I_G!Aa>dsMrb z%q8-~-8Vh7#q&u2!My=011TIGwn3C=xz`}>yB9c|2c2yE_fU>k#nDLK=DR-IeO+L{ zNc|8-B*l~mPIU0%+6%izC2j4B6?Jig!udkv(l}R~4C1%~O1!hB+9q6tn6B0MUOVGL zzBNqKNgvw%UTsePx{(T_$`60>4T>*vY1I)#6B%ixa<`h~1N>=~r$wmndGP$dImjrD zl3}CQt0J*j<@W0*lT3zb!}37xLWK&OB$zGv;3+vpTXF*pH2tP+I9iB+P?iX23$Gfx z_xM!^m_cS{s3CitkQ7ei`!O5oANX@Dc1%@@)c@>ztnI_^F)#c>2qG6b#+ySC+h#m_ z_`EuSB@otslQb4B5PX9afz`e12P29TjQR$qkk4^Uzj)nYMz*k2^XvDVo5zS+-Z#Ck zUubBAENGgN!_(yCy7>6+%S09#Ngl?72P!=>y)`j%M7>lf9>|OA&v{4@32`xKY`)U! zS6qPe%Gd3U>LE5G=w5y<%7s4Yv=PW2&n>1>B^cGYv%?GDVo-mXuE$4!`L0NvE$p-W zXaaD{;A!ZmQ>lUPrOmX6QVrsoljY`p(r`94OCjo#g39tttKEYq6T?h`L&Pu5Ghz_& zp0P1v$h3J)Y?TZH3JOc!zWd(4KMPu~d!1#|EIo+EcQew=ih0w}`6!pTiGLT9$(X*= z^pUP19|c5qCwPBUW+9OJHh}MQVQ4t>mgnkh*TG-NPR7{$CjE`Z9n(oL&hzgZk9(We z`khC=W*Kih4N8()A7j;U$@Jovn-{RKlwE#GW3(3=J$E;}qWKohr9iudWK&J|x8E@Z z>+^NmWA>lXZH1N%1o9@<;V^;jI>O6;-cedp#etHO!?CENSZKs4tujxJ2;$|4Tt< zP(hDZ29${ZrP}6)du&Zn76h;jY>o0g=hdfEK_gYnoVTT<+&J_gLw1P%^S=1C!#nY+ zQ2;6Nbo8Gew(|9_2;A#_w@myV&aSN5CBLk#v+U+M6~oCu%R<99Ai|);d{w~4V3|j> zgQ~T4@<+GFDn@n``DB+%5}HmdMT)l(PGe6jwc8{`TK?@Xr8narlV59<`a;M52v<8R zGvd1VyR>|SoXi+~&a+sG9RMSpOajie`FkS4gSIIj_AK0?M1Rrg}K~T4QT@W)Fv|pZ0|XOwM)H3dl(Y8p?nc z!Z*Ib!*ZwJgqJNEx$|Z*&G)^O(%9pj6OfRXjKfh6CGwy$he$=O(Z$Ccq~WrrNd-k# zqVWYdm71WtGo6TYhIsC=7FnEz5ASXSV!)FG17AKrJSA(7V~v?k$&hQ>C13I*Yjebi7`dtYjQ8m->8Uc*SIg)_A3myC7iIre!pr+C)bd zckkylQ501&^?#Q~?D6uW%FB(R;VP|9+>)2}myv%uX@bgqGgVrL%tVIj?UHMB@Ea!< zDj_O6ed)99!mGxVLdEvYy7-H3eQsHzp2QncopXad*q-~3UpIdhNN0RvyOGchC3{6J zln^*BD$v$+>GS6h`LRA|@o%G{P|w-VmEnVfHoj2MOzd@qhCk*PmDORNf-;5#+q2*| zH&qlOpD`rv9{Q`R-F>R+E!yh{He!&m$r)`njyzYJwVyUAU3I7a)?rIhZW-r!u@#bo z*^lD>^)xUage}yQ0&_wo;+4|e+)Q(px3%3;9TQr=__0aZaKW7#aM4G0b|c^UwAGvp zrglFUj2aq{nRLWRDdd``1*k~k?WK14PPVla{5GkExC5e!Edg!{N3>6Gq|l%PC+)1> zGA z5+CyRDcfWqCamU}(NoTh4}VK!ggD7KMRk!ft|*fT<@`x~j)GW2$Vr0u;R;LK4$>S6 z?RJEm*+IjdrRW%v96qA-^o`aS86rFOQ+86ON&{2Cc$7o=G^%_g6%sP_q(80~ZxT{w zezFgh|5a-{uE`XTsCl}0gtN+^AxLN2^%lBmp5N2~UG1AuC#pR1GRR{BN`dfENefX; z$|PGp)>l4-{8!-oE4G!F;ZSkvyXZfTY0r+4HS$lemP`->|JOhji2C~J;j7WQJ5hKn zdbz{OTib0wyb9k)jnYOD zb#%>r9Zz9i$j$h?#&*N=keE_yUI6`9k4(?lz37jI&~lf+p&IgTfUuhXo8WTF!pLtY z@=G0-8`65d?mwJZs2 zsgwR(DgGoqQ!|GnJZ)W-B2sh2Wn?>LQ1rZT&s#rI1+0jNn|Tuq=VOIr6VU!Bbl`m` zPL*3XZBa(L`h(&~WZ7I)?kKz!r{;&$=DN~jPRWOi;l83)gG5pgZ_dui*@AFdRV^ui za08%$+w#Apz1`}(f%s zq<`zKJU%C^UmvP9(Z1oMkD!w!`pzau?&r%=aPd35`NF7tJ`$s{-e zb|RS{X}x6IE-vZk3-VwBJsoU$!+1<$JnI7He7|It^D1cxHG0~wLO>k($ ziFM`$4z0UFYDIW|{*;YkT1Z>~CbxY2wuNK{!UWG>wJ|cQfc+U^4dT5y*;%Hg6CV!C zG=F+q-7SCAD2ctmBDwC$ngG+66;@5sLX`0ZDH*yjiq1UY-ZSU_X#uo;QlV__gzt?e zK!F6zm7vfa_sMQD{Z?h`;g8NRSK}z}E?{E(SZ1W(GzVeWez?kn>#ks2q-{DUu%U!| zO-nc|N9LhtU)Req8Z=m{X>kPHck=p)AnmRu6eLVi1+XW`=EqejggQw^m3W219uKGx zngkB5)@nNATST%<2(F+$u*G-cKBeG_)2>nXH4s)IN$7XFS=~ib<(He#{!JB>(c;Jy zl*GYaZTmD1u{Q7mhtzU}r~`>ZFy#}gDCbufz-XNY>#6EXu6|OL4xFiRs~VW~iWMl*rb>sj?-GBQ*3AKeb#z4DpEUUyrp4%wmY9yR-@o;y zu)4ClPbP^6;36f{tSs{WG>E5A$kH(*CYG8y`1H}!jiYF&ufQiPhN$h)1m?p-RxQ%{ z?Gyv^;O`94!}u6g3q1E56m?jJ8gU$CKa45Z7Ddl^ zjEPsDp51M_nBHojh)l^W+>+)huWryWs!3Zp&g7h+D(AVu5Y|luwq(f5>Pbs}0C?>H zaq{8w2PmxH5-l>G&D4M)K@u|%TbvfA^Z6}XHewYqqB&5yd1XBt-a2&O>m~f_zD(XD zF2;|y%@^73Hu%eNux`yI<2B`@FdX^#+0t=M3_B;PgA;G+YTH3>lN!y%>4Lsn>FGbI zrTE^6BGsrL;_X=Wm!F8Bu3saK52&=`1*5^~G z9Vi`)D|=_Y<^CMAsiMLh%f%URocyy-hH+VL`Yq#cIpp=|B3^UT=|Ch9Jr(ebkn+Fg z1_lV5X)|lbE@%Kd&#>q+Ky6C>pcvvq2D%+Eegk`qlos1g18>tM$9z{jE zy1I;E^uVtAS@jXk<1i^0fPE25bD(9a)?4puObpT}kRtM#>>Y+wWYhxGVO+)Hb~8hqVyFIsyKbUHr|NYz0&PDOPCGn7#KU?7w z?Cw|kv8GiR2Tm_=&9}mlaiD|unJfMsDD#7hA9EW7hVlX!K8&=_b3onGL`wWC^p&+X z_RpJmIY@SWShlyt~5FtBk!DnYW+X;7~|pVlok^RJfykrrf67BQdlWi|58II^RXW!@o< zVEr+wGv<;3=V;d7k2&p2Xj-1K!K{lQAGD6G)H@3;qfZwkB7SbTmmZ6BSDR1C5%G^E zB=RxddMY$wiuqH7dN%<$%5NNG9tm=v5Y_!EFj|=VhKZ>kYDz^wS8FV9gpc%FlTCm6 zcP;1QHYmw$K-a2G0=888%&ualiQlDho!od2i;^{XEKlQ%0jO5(l@XYQ@Ilr35Mdd1 zD?e2^SG49Vf1!_8*lmh&MODEV#EwH2%h1x z4pSewg^Eu-tibzoonRfG9Q8hppS66Zd*PgMEh>1K#A1CQgXP85ay@;2<#4H#qNO78 znaGQ~Y_`5UUMHj3%k9@`5DIFbG1>CHJWad@MddT6Glx#QUmmsoaTeWsf7@}^`>@D! z@a8rYZU000o}t)Yc>z(P>R2BEngK{!IdA;i@kpWPa8`*+;hTK}?jdpZJI`f2$}DNB zAoj8K(kcD|L+)aA&4vSQIL(GKA43t`bkY z`I=$4C{WR?a8iD8XF>mjv15O~@4Q|;$LkNl!yyI*qPR`lXOCuNX1RO+{x#a%ig*7f zKCcs{$0_Z0!lyORf%mkOulub31ruU;pld+zzU16N_i5Lm(;|uN!q*#@7au-{PR(6G-f;`+9QR&eAc=Ey68k% z@M+19A|OkdGr8Ww_?of6Vro&{E1sxh^3J)@21P*y!Hj}ZjBWv@_yTo5{X-!iE}SD- zst2!iFW!BdvwD~IW!{YU71i}unZd6zskuS8=taYfhwGAw!+rhQk5s(-$3m_%?uGPx z0Lj2gAO9M1_Ke6PMiShLJ$Mx2p_CxM3Ys>-6a}I(&>jJR{}4Bu(I3HOAwX4}=B9Eu z7{_h2PpB&SqZjc{Tj(>d%3UJy-gvG1pw*OZX4H6~buUJT#yx_?XYpshZ0`ntShI{w z_EgjRDQo4H0JB6!3C=q=0{dzn)O<&`y5ty8B^6L988k!ds|}Y@s5OPh*_dMuK{qbR z0qtzC2#&W5eIE_CLgJJOL_wv4Y$ZcLDuH#}`$d5$kBkqt5IOQAnI-Hhs;d5J^}!Q5 z_2;tFfb72meB53ihn0u zYTx~KXH0juRQ_AyM%|Va)Yz>cp9peB6L!c#a6hw&ZavcIZFOIvUy=&v3v9{GS)~v! zHeQ83OCzhtxrW(@x(@2OADjn!BDAM`Pl_57N`gRo)(v)+eTvrom#tD%sIzvOGxV!w zuh!istxpLs*;2f1Z8tqd4r{0F79hXicYOBQqU$*alIY5*d0q5KoFWo?%VVO^Z2~$7 zs%l-L1V2jZC@y4g9a1lByGg9MHsU2E;mlsVX3Hm<2^N*NkFpCH#ij`AL^W$ z>45?%c({RIlg;k{S4iE)rlA{kdLV`mm6|O-lG@F0Pr*K?5j;@N@sXMLM)aaF-kI`F zW}hKWre_sB&iBa*`o7#TcCRVi7x8>l;rw8Z8~FfufwL`^5+o)GHht{$q;l7va6GWXpgQw7yh9J zGHnUgbqBNZ&bIK%QX#Jzi@IjhYwU`L0}tLE9be@$&zkWa6L9 zP~RVCyS=ql5<$|*4Rv$CG|8x4NTu!kDDq%<;9Z6ZvKW4yWb1_#=7PMSPhy)}Th1od z;b#WimSokoK}d=2+P)R1jJ17%qykOLu*`xKF)V?Mf~H4N$B&8kCE^enoXNP=S`^LH zt_L0)BsV_A1w3dI)Ll8U2-s@C?4&Cw_*QL;|B^J>3-w<8`2PS`(sFD2!f8sIM|{Fds|_A&o|rA4Ilx7&(U$g(A(W z-Sw(}nsLpKWua~b?~+kOybT!gwN9Qrn|$Q{$5k)dTER<~B8Eq8_?-=7-Vve;Z-mIW zS^l+Ex__w4rYw#RX|D@M*X+&hA|>yzXy3DimGi%yG#A|V-s>;jA#^}*?;(_|Z@CY7 zy3L->NK>KyGl}$2+AsdFEG_MZ<@07JLHWMh!Bo zsBMtlYCXHVAq`ZNz_R<$g4rCOa;2>XbZK6`ob4!4*r2|`FSxjfr3iAV;wwPPtOK*d`;u?ojWA~Cb3+duK0;M-~+#?>tYU$2oYC%4KM zTUsC`yioTLu0OY{qPF3^eE8>d$1=$jq*&^BPYstStb(JA{+J8a%`W_t4Xi$AKR-j3 z244he_;y)f8sc5!GN}JE=XvdWKUS8IOHh|X?~CVu(^BaC z?!wlVTv(>qSWji18#4VC&AdSuJ>KEZOFv45_%B5+1qJJ85{;2}P_N#UH0TP=niEe_ zlz;iW@fsoBsofrMClf=$TNhHIYk)1SN%Q|*B)9*4*lhzvm2M43N z6=C0lI8@}gOan@+6pZrOl8by&A2W-#A1?7$r+{cV$>MQ zoR@t6#}1k0F-0^Aq_0r4eWm3{f29j={7RI=&y36|{w1ZtaLSe!`yo?k=t()7u8pyT z9+FtAQWMmx8Rj*_9hOiBAVf*=j$J2e!Qt%4F_98@G4-3tleLJs5oV=*V& z-gn|5;(g(9)@2$c@7Es#$81Fd3pu!RU=OLRsmbTfgZw@KIK81W4X%1A-WzlX%=acN zkdk~|baXzmE=Z^5PnGcNdSBPT+0*eG;f%prpASrERG9)|6y^ONr`qW0GVr1i&96eK z!kG{Ck!$Peucp&qTRzD0l?Ki&?=8=9^PTZ>pNHVW8uLQqLn$FRlecf9J$dry@>n$2 zcRL(Wt1!zwd0L}yeAR6_!&KK8E=)G;abg)3Eh3w%VSJftu8Ea4n(b!zrtl>PyazWJ zH;<1T`4kq$iqrtweWFnG`tc|B@KVTDdiCd?$e=`F=OiDwDX)b;dZXBNmTM?^Vq<6G z%b$XS4APKlkPp<`Znil$m1^%2neZ;&uWqTq&fucu-4s-`@h5G~n>Wd_f|L8^ZU^(V zoZCJg5*g^2r$5d<*K)dlfAIl%zy1a9j}D9?Q$q`ilg``m8A7=EBY`xnaM8Vm#6zf4 zhq8;bg2}owqT`KOwJ-L=6w{M6MB~lUtCOsaElQs3Hx1sUV;9ywS$x3ck0u-Z9h!re z#?!1ab@lW#+|ys&_zyvG#`tpwtukBa@@yAm2Oz)XI$CxpdeK&@;m|wFh?}ja z-SI&K5QB|Cy6i|}yXjd}jqL@^91p6UG8(tX*l5mubkU8f^OFnvb-on507Z9dM=Iw! zQ$uFl(^Nd&Q4@E8MJrwN`^Y29Io5%B;#9n6B13K50_aWSyOT(@dBl5)pq~|u11mf3 zI}INxMD|!&iL5CW6oY?p=Yi&%o%9Mjk*tF%9VqcDRhoI#*yV4nMY`{CF63lVyDh6u z5w}X8Dq4L@Ew0-*jR|fTki{iPSG)W%;sJZ&R8IgI;q$0ZAE2KRAopnmqRr;$6H6py zVL=b(eN~a{>`$eZ@uW3cHK8Bu7Rh8flL)va!b0<9*&U4nfe!1(NGvG2L3ejYj6|6z z;+I`r=t2tEIM+tI56124VDv?ky~l9y0j5P88wjNcTO?%EsMqOn%m}^x(`DS4ap1$0 z4On`lqp6=Sh6RXsx>kJxsjN&~fMVg5nf&)4WaB=MHM`PK6hDs2$%?ZD!7Zk^Sos8~ zi=~QfZEOgF-uK@pdi!y9t7O5Ftj8T?|6kZ}LNOblpo6S*^is`yz;aKlgAn6laUdNM z;MwGSmpQmTVOxmFrYVy6HSiz1KHsV+w+w5#PjaL9`-Q9)x_|g>@iV>2$;r7#&{J?! z(t2_~4)ObUFwOFc@5Kt&)H+C?6WN{I|Vs$o)+rp9#^O!%Z_2n=pmw4@R#V>#eFCG7LE7<1mR{Z&TYr#=% z9pUX@lWbpVX1vh(lt80c4*~;E>L1|*V#(K*5o1(bT?5Tb;H8Bi!_C*QD6n&sZ_97J zc1lbie#StdBpONlS9Q<~_bsW`J4CP-PzH0cp8ar@g45XG1iD^-wfJ#Ln^7oxPXNgCH)C4MYX>c z{PmWe=_?%s3}Iy2q^^>LdSoM++6DYBnP{5f#u9DlH^kf0M-x_hjH%Q4Wsh5iCgKBv zb&~DUMh?7rM=5OmoRg$@kQV6qeBDZF_$j?5(rW7@e)llR)EJSh3an^D))cz$uIms7 zd9jB5D~Mm9RUpr2&0RI|dAF`!u$F>Jw*J^P@)_P}LZ#)1t1kXqw1HZXJ3#R9hEdLP z3~nu^P`C#Z4hATOAnXO6s4+yfNtX?lY54?{!$ZU$DB!TLplv2$hh9=Ex9Y zN_>I<4Y-qMx4_yzzQCvkv|-VlJ>5MJ^YoX;axYJb%|kzS;sbb43oNthtUy&hRN}5Q zN-|wrX-hfb!Yo@|BwP$OweExuxv+62nSQgYLr?IQ|L8)OASsL>EuLEDoISkb$bdNo zWx7A2rgRWu-mKx>3O3epciM}hinfRr46b#>ZV?31g=cOG&n! z4Pxfr#DOEn2tn!v_Zbtq0(B!=HjOs4L7SvcdWH9b`1tw3CLZ6vu6SK-qR;J09@Q0y zG39@abigzWq*G330@MVr8zm_z^QNaYTZSfgxzSGdEN@U!ma=oj3*i60cAKD{b5r7t zc(Y=`=zBifS}()#BOy$Ws2B9GQ}@4t3l-AUA$tND7tk53G3AL*8qW05Sd|@nlJu1@ zOFh3_BD>r;#^xKPf;3}@eB;Igr7^H~Y~uro0mnxxJ6*7xy@h5Ps7_aj?+qtE(;2x_ z(JVad^2vzsLF(9(LQ81$hqm%+fG31Kd_6Zrcr-5tK^10Gj5tPvNTp#}GW`R}jO8@8N< zxgDrpYiJA?*1kizWH!Dmf0TCx{aD%DLDhUnzJ#u%))7YuLOc;6(;y3~tw@z;QtZEY1qG-(AeG>`AbBOpc+ zatN|kem8vVXTR~*?<&N8Ys6rDeIG3$QO;`Weqxwvsf?lm0Ve#IJ83p#*ezRXWg0MD z_Ome_Jglt1ZAWY|e0kZdr-bDcu8pI7%91KRBFi-W2yP9i8JU$}3actsX9Gynij?@} zc+G@fNtKg{fpWUW>W|t;@G|To(1)OcH#Tr&kf~OXuHLNLE1)SBFH4Iu`%~*ji>+116u~7&hDSmuNIA!0YYXE5s5$XE-+?697GjvLEZ|)~Heb8HdeT`I zY(sVJ)vY)Z3jY-C8G|40(gEFyzd7M)u0{;`8vff&^b6NTZ-h#{diZy|b@s63u;}u# z?Yap3^Y4vZl{Y+1`M;g0F7p}`?|zQNjcmqaN53!jTTZ{@JKxDBKaT^+B-V{_HnS3` zN*yM$NHVRlOpEFR~iM)5+R*0!=0@-@3@O63jXH|8l2f?r{KQ5mC-@bT(X6nw>oJ985 zI+izr1buiNig1vj`Y>Aqsz-$~G&FouR>qN(^a6L{yQT0s*+<))bczL9#t5|^3p@|2 z#eC-o11M1X`%L-R`ntLxo7Gcg{1SZw0RE-W`_?4F*Zr!3FvZ(q8Klu5HM057M5FqB zgVpy>V+#Jj>iC1=;FC{HN+2Sf@1tjo9~{t&oAzyF&%H7FzDT zN%zWbeC>KXHby`Cno7iQx`_$do62;^h}+G#)T4v{2>IE*!MmtAr^YR-tD-6At^#u@eWyFrv(Vl z2?4tu#P;PSPtGj5F(W&`-V2ySLqk7}Fv0c^ePsHJTUALxG}fPj=$1;+ALkV*4(W7_ zIsqsklFgj{MUjc)h1kE{n~p_{!+?s%hYfh2jXqMa!#t7ay-q1F%i@vNV^`>Z+r$r* zvUqQ~9!$FFH)v;;pM;wN6|p^T-s_BvxKzR^B*4kB~db^nQ=gFS8gc!+pu*P@2v z=FOWHk7jUSwyS8Av*SzSOR=H|uC28Yx)j=^v}@zWyCEkRQ0{)~Zx6NpqbT}1R-boI8^pi7YHq)=}l7cZb!u7Rs_UpvXfhr4Uz)+4_K6Axo*Z2 zG9&W?<}laWc-JU&Z@(O!TGRaLu=y|{86TX#U~X>C2_604eboUW*iaz>?$b&*wtuAg zkUTHo3Yt1p2!85O?s4a9a!WvU1={H;BC4}(S2N1EA*j8VyO#+Ui>YM~+rf!@?!!l7 zW?XdQ>0}d(DS4UyL(_MMW8J?0BQsL=Nak%OD+!5Y@14k=5z5LQWs|*knHiZWBYWKT zx)rkb%$CjX?D_n@|2)TYbTr(&-`91XuSu^mI&M$%o~P|VB%#B!g>AkH)wp5RO-C4X zelxFYKbb&jVBxNPuf898E5EtnsQo-8{&8lY#HCGP6zr*A^_Ium+q>FE_p9HEu%Nap zlk+?$_`4J*lD#bomE9(JTswH4ABtoQIoFCm;h`MF!@$<)QTjeAky*$H%`w7C3x6^m zGDy7lEgFvV$bZ*jk_k_}dwqmeO6ceRxq?Inm{R*d4hZ>A>p#Nc}dcL zuu2(z3CZ;P;Qml8(Cl1tNE3FJFHrX{zU8noR&MH=kxwd3e88zSKb*zvybIL@%&`lC z@T;9*US2yo`v)eF%F>rF-Z*rBY~Dys7!@8kIL(vlL0?EvL*=ySL>b8~a| z<8-kC_Bx2Ue{W}pOA9`kTmvZn0gEa9)dC%|dSCg2d;kw_XAZl2krX+u z^PTTAD{ZbHPLc6 ziL-;*xbvlmg-BI~RD%lN)Gt&xHr?s@3cF<`&G^`?tUyosg%{yHP9yaGg-BH6zH(?4 zH8SE3#E<$UKHiiGsJQ{)J2t>rdR&m24gOA!I-bNHD2=XJyV2N`9Vr^9O!7L-M2FwNtRwC`dYgeYk95{Z@|syC z$$WCwDbtz461Xrs<^9O`){}fcG0HdCo&F4?tayJ9gm}wve;A-%{uX#4-lUsSaSNIA zq%()86{3cevM07lB#CO+T0WRg_nO6XT0EuHX*$aeHl!nP{cgTXX!KY~2RmVbGE$CY zjA%ArF*d(Q>k=5`5Q9h%lU}Q#@j}iSquO-!()_m~q`TFtM5?fa)S;q7{TpZQ$MGTO z_xwx2C9#}bF(Ia++qIwO-YgNn`Ol*ku!^pg!{6Re#_Z`c-0f(tD z3~7hpMXwy@P0#?WQ!AkkejuTqhb-dWI%!vOG}-L}lkc`KbaIUt|4dCzij+3!Z|Y>V ztRK3=zyT7XIIf(5f20=|BUs?Wn#> zx;kr!mTJFM<4h*Oq{m|^5v?LEsat=*cx+u&W_u>`lsC1H14BvE>YrgZan$-j{I(;k zS>VAcy^DGK$XD55%w!ehsr#X?t0DfItp4BRGPo_#V~5Z}x(_RuE@N}sh^Y24E;*QM&286snjiGCW3KJb% zrA{Ii=5EQuTG~pa9|JI|SThl?bbwe>uIzFQz{nO{E-&?tFJ;Et+8?NV##!OIPAW8z z{k1_kd+4L?7bs(GX=!;+tqq?nk~%Skpcj%mK$|^~$QX%`t9JjH8}prQnII({cLrxB zNS$GBd4bsp#Rzi1(q~0t0`CvhjsC+j#F!F=hWT?*YlAidI-my-qWovmr@lMxHtllR zZ?H1bFj=d0^mZnEbNRQ8njRuF&RngWle@x(HN#%yjY%giK_n0DwLk)9l3v9)L39yx zXx$T}>qxjJLEHR|6US7X^xp3el3j7K_9X0YE6=7I&Ype$`)AWqRI|R+uBSpu4j~nK zh!$XAr!`e5oZo-;<7%bRv*--W#u28}si|?7`#v3?N7XdgiD!`Kdx;F`7GJ-0RIOw% z(Gu3wOeOS%wfIkwpnqq^J8OufM!G8c(xivj8;6GA3@~fu3WSqI^53{0nj;p;S5Kw* z`4{$%sUq8$C`n%Q1FwGm9mtTLVO@Lc_PS1qMecJu@Ae<3u0otG75AtmX0rNz?vMcg;rN)P3nk|6c#sGyoFSFl5k^tbPZ8x0+8 zg_wCKuF9P!@5LE+yX|RCUK25K{jir@PuM;i`*!c)B*e@?Hrq@77z5svJV^fJS0vw^ zZsCXOi^_%uE~R`jDPuc3-#pw>?Z41E8D)NF>a zJaXi;QoeDNhyM_q#NDlVky{qs^B3^S+e{=l2+WPcu$|*y_^e2-Oxn{9Lxg0w2zu6_ zcoyPV;823FI_5EkCT0{rD_={E5M(cbB%ySa`BmY}w&BqUo?CJj8?2|W1*#VSbO!$L z7%%4DOxuY(JuXKm=(>f;M{ZE|!T;SSW6J81yIv0gNnqZPqcqXxAWJ@GG4pS!TwjBp zQb=?;+is-Gy&q|{6)R_z@0F=WCd*Fi9mCkqB{!2jGJ$N_7}%(^KpWhs z_WZBu345|i>sjn%S3dg(Gx|MR_~Zwl0@<`J3fI7LH3IAc)>a7fmu7ApPC$m zl?o@Y226|DZ0;LlH0R)jzT=5-n|LG3BImks@E|wF->}g$`KsnwYr0*N6qDJ605`Og z54~)m3^lz>HMe);z$Y2bX{tD0j|+%F;OS_!-wE%uqW&&J#F~M`(zldAQJPhfCey4y zw+?$M6!yfFL(MAe%)`BIf;94x^h8zna-M=wMcx?{jm{P*keX_8Fz0GDY{LL=mIXyr zG1G!AojN%mgd&)dAyPV+hk$uO#Ml?S1!Tn3AItrB)P5y@rguQ6$j886h6Wb18Mq=%STy0UrD-}5P+rW9w*W(xUH zV`ADXrXik(W4p1`tGtu*|A9roL3SG9_lQz<5Se<}b#Q_qWt>0CbpCr(aL-HqLNs@6 z;E&k3#MjJAtAm1fjgeE@{BxI~>)~Uyy@ED8A{Lad6{dXI0U- z&G5!sE73E~_DD zVHF|w@5Mz*mqh{EzrVjfOoBs?iveYCC8oF`np{dKgeRr7?_0XQD({_1kmYGl zaW$-ya=M&^(>FXr{0l01mdHa08FLkn(eWJrI0^s%L>Z2FSj-c*&xUgqT>op9wZUvN z(@HaC6xDZK!+m1KLkXWJx2po}BMgltvGL*g1_U*F%6vhRm~~Mqka!c*X92G|OlMue z#JXb8tj+KdTx$IwqlT`9i!xL5@viPrfeYmuXAM)U@LvwdyW2Ctb=e>J!Doi~U zW50i!h|uo$Ru1fP6Ap{)`TQVZ%@xO(SI}{a(;J$d;&*BEJ`k}MT z)U4od#y~gee(z~fxkP*y-NW6jdgb))DhTg3>wqM=1)s4{SaV#I58m6TEH<`p;a@f= zEeF6`*VWFOJ>Z={fsRv6_59j-JXr*n-p7e;)92*Bo6#4VeHloW)uQG0l5Pj`zpj4w z_ZPW$rCcmttn9U{SdtiSFFbR*2tBT#|DrbC>!%S`_cD=g6BC_gl_WwXE1+sIYh?Ph zAQ%Ba0NnPVJ^7~OXdj(E6kLgq&nZk8^nFTN#A^#uQfhtyzT5R<>i6&Yg8Ymuh}eQ` zY}nc%$>hB_=!^Jrq}WqaKXd;;vsaAiQ6i5wi9XItZQ@Vw2TPnjA1$ zu%I*LzTl0!=cKW;sh6=_-EMm~3{zZD%1V`MaXRV~#f)C%<;tPXeY92QXAt?84w|$z ze$XIt-#+pB!UEtMBu%qE%t^_6mq&D2Kb^lXrdr(1^O&c1aHB7t~YaFB{?%Qk>V9Y6_hI^l_+$WCbI)Z84wU4$Ed@?l>7K>VxspZ_F_wvJQuRvJ5yqG z=`Ct;^Hf-SWrbIdf+>{kC3QsB8y&T=0So)bkr4CkDw04{p++hvVL9sjKN%Jn3(QFI zum>THHNjl2BgA$Bo_(|~0pjwVmI+y3JOETX%3SL7*TfKG(oZp1&Ezr8Z*kJ=kLLPB z8EpYzjb{K(xV0fb{!3!{(i86C@hFyAgImCCIhbw#4YldUSwoyti2q#%d%qCRZ761r z@p5)@l5CtwL~8kZF#dKFq%pwBz}w%V$EA!!?$w7QP4V)ev;rVcGqDgyQ!6VuZ@a=m zcrPKE3Buc>5h45q-)uc%Ci!SV`XD50sTxw)&i3mFzTL#im~NOZVf}E_U2z%l+Ik z@t0lpb8>e|lb;)lHmSqom1(_w&G}+|Q6Zdvei%m$I}2A)U!Lqc{2?_;Gb#+73)+bR z8J&8@T@iu+oM|YUQwx;XYh|$KLh_c`|DkT*P3oSeZU3odch-bcz2E-`#0oY*$Gmy- zBzq{zVauQt2{(Ttx1oidT?A-Z6A}}1IiJvPSdB+vm{!E`%`B2Nl^^qdyJJ2vwQG?|>Xd$=iGQVwuQwr?Cje-)Cnu`KTY+Kj%T% z_lk1z&za|^pC+d31@~zq;bnc9!V(^el`8E^8)z)sp>PW`M%+<&{RNLqn+FA22#?$| zt$6Rofw{RkXF2WphL-ylFczLF`)tnM!WBp1Z6=CRG}HSqXz zAIn_jfJ1eqM9niMud_dzd1$e(C*rWLsb|RSt!C%k!~bbt#z&QgPr+8lrCHQ#$w%mh`M%j!-OX3_YI!!#oYMc2s0_Xm zpb{j!Fo|9$@IQtOruJ{P2?+_+uE;yZo13?2?hHL7z<%^-b7TW*KKBO1B29J7-ny_) zd)}{s@nCV84&H7Orc=GU82!ZnP&u!9F;v#=$t}DOo#6AIfb zYX)n*TNYc4k||t@G29d1mcB}&aWT$8WH0+8k~JencRkqx<=cG8@k57hg+q9V@S4<*;x2q)0h8ZO!g=trHU$b`XxVzK#1QEqeaUq zLvqjX$cwUa|C^CK)8xB{ApQOFEcf*=WUcCP!F?(OuQb2X+7NlO{^?q#%>=axJsNS-*xn*jaBj5{y5pEb%8;WwrB$nD2%xnZvPVPgy|}xT+CJTCX{OB+tA|765XV z6$e2SrLC40uM)|qGxN2lJf4#LKXy9hVk8Yl0@CE;qR{RL6Y7c%OmvtM4@iWV;$jd! zj;t){iNr#GWGqWoO^NjU^^FS2%N-%jS-@dOIj`JIKveVRM$oYu!e{h>l(CT9^Fe1G zg5`J81#OcfACB_qo4#_UWFU2BwF4y#)U`^42z^X-p2OUm8Jx7IoX^BG?KP7>Wv38$ zlOFwc^bh7-i?tZ8{kX^8Ur#f78XoTP9P8nYE?e;ks2w)Ak-zk zSW!c5YlXf4Xr!zPN!~9;A_boJZT6c-XT!74c~YRiwB&v?VXJC)IV5J)mY`np=S0IE zo4}F;sd@vzjO#+<0^n0o0d z)=B9xH-zXdhNs8OKfpM6#qHlEe~Fig&2R#dEtul;R0_}@NGv6W+x1BJqn-?A=!4X@ z^IrvGrEmLKi~w7`oo%3UG4NUQ=_`S9=k)fOOWU`k0pg#09h}-GlKk~@lG_>$%}nNL zEckNn;2kH zqsa*k(Ih=QV^johG|BKk1EA(}ssiG^oJyStr}XAsUYJ{#p@?sc?gY2X$ahQdc#U7Y z?gsrR4*FhZ0u!XXcAX!Js8j@;T{KKCe$%}N?kE7AhtVEZaDJGJip%0T@H$=Kz5Pd^ zz#`U>m37h!r9^2g`^MpEzFvm{@$$O!@}oQFVH8$Qb$qi~>IH*V{4ee7DyBB<*(2P( z%^(RStZ&~=`{~@zcHL5gy&ui7Fx2Z0wZwoaxSqDRh|jmShfi84It{9QFHFUxYgMBz z7K<&wFz`mOZC|AD=en8Tlr@-Q#;2yz(F)a`-oi;s=H5?8T^72ZxN`YoMePeg`N@Uc zRm%UrY{k$Ht#gckT7z27K;!dzJerxkqmtsN;^L2Oyz<`_Omq-6G`rKZ>$|-3(|9DP z)^~*tXD{2BTbpEwxwMKV-8_4vvj$V9U8t%ls&B&2!e7o|Ogpcm>YJ^?Of>7aZ>~rq zUs_CnfQh9%8Pb={1alsH-2^5=*|Z?Fj|G}Q&AZ7%RHzoD)ez!z!*d-dxpdwSS#p#xSqtZh2|JL z0>lmv6h}OW6V$m923E{dMqv9rg2+a`w*XAQ9HvZrU&Gg$hw_bs1EW%USbG*f>YMEg z_YK@P@?{Z{?kQ1Tcy#pWcA(R*n}Q4`Inx#JJ$AK0+gh^`y^aFlzpBV1FX#(2qrmf( zJw^x81j05&=zs-*s{7JW5GTZ0y~g-KgvVK10^Dp+VIe3V<=uWwPSP}NJG#2c7HGz> z+kyuw&jL?6;boKY@EE>I4xlaZ@-R*3dbcF$Qo7-1;vnrIr5yMoDsgZl4sXaG3*auS zzp$&3a%b1Cej~0N+Rpp-Uvhf4nX)rO@_u|{H&s?sMbmg#jB?<0!x?Q(-IrKVm? zdjN4Ev~>8Y&7MF(0dr*_`|wOtFVR^)KeH=JRCpeHR=_A#j$@24)~u|#3(r^}EI~fH z{_vUl#)fMFshd7hDc_1eRqt{yvHZ~;F0?*_NX)Ws^EDjS#fJSu;klnhIa=}HnOs7= ztJ`ML)cQsi(C?&w^S!Til{|C~h|!`nv?i5t@(46}MQ)8gA;O$<%Q)C2xeR_^&Wz0i zP|>uZKUVOei>t%aeFZ}kr!``6Qr`X*x%a+(&A$1y`l8;49NQuu2?s+&Zd%NSrLpL} z&1kQ9W|wc<(Lat~q=VG>iaG^%?+o4Cr&W3uSL<4r-$qUICzfD(Goj29J0xY-XGQ%{ zUq34NEf6-&`3fM@WCBndyR9*&d{cU}5MB`kdl0Omqq9_O2Y!a72hNh6TRlq^1U5wS z=)BMGr0##Nzq8CIT>Gg)vrm;X{>l9v%Zq_xgLasVD{D(6)lpESW@h18cji;1u0?j# za8^d=os{#8sd|m&U^ht?C0nas+ae)3D)h^lw&j0`&>=g_Pnc zX7GsJccA<2W>tD3L9c_0!H(`oBh#IOc?Qp`n^<`?MP92K&A!~kae8Nnj{7XcXbxBR#||2?O$I7@<7r23VWHVi2y%uU$jsdjEd!IsLHKEdCWk#t zsJHca*~y3>Fo<8vK}IYH?%B6+YLwYw1~VBfK-t*=R6odrAE-vpf}eVKL__5hTX#;# z_7N1e?>)MkV+)Slw{`cJO-t9MfJuRWy=!z^f%i@A%IyXVk}_Cc`?O~iu9$|!+V52#8C>@{No-r=Z>@R|di(Zd zr~e_!3&&P0cPkxLmRhD1A|NnVI{$EE9* zj_Mc~WaI!=`;dm#B$Z{&r6JZRrR6hQ=s_sSMu|}yoa{42!cfe!Jh9fS7=r+m!D~_3 z&$#6^7cRyc2|}G4cFxmvj>~11OUD6TLJa9~&Y+12n}?}1&;?jw8yL~r--S1kP8hh6 z^@y-T;-+y9>H`J2tY*BE@MGf=gX$+Pufl#+y^@T-PBDG?b}Qv{F@)`OXWWuXm;8@l z9$BECsL)&^4tfDk&h&=bUGlD~3C%o3FnJAP`-RxQ1y)g$(c{e%X;hir4k|oOH^H9(<#lfa|3!R56B~dltdBjTK0XSgj2F7Tvc>3vl){c@bU*y1b9KK+y9&6_ zVzU6_PPj-53oq+6N>R)dVly%q$4E5;*LRDPLi0X<2b#Xw`z&dz#`upwT$3 z&4NXlvd<8<^^0v@{|osq*Itd}^1SS)duJ$iifG1+LiD+WyJOw47>u zu{(3xP?!sxD4-cejM*57R%{lO8j&-1mK_$Qdg&<0X#skMi5!Nz;?mNdebt;^;EXHB z7gtwtN1b!azsZum`aUuIO2*g0gby$-aC9f-$rWfaruOmCMw*AdsM3X8Usz$QbZ@ls zK&%=l5kbxf=sH^{{9gFdsoY98gkiabLk8Lm%tRhg-?;qy`YOS?iX&Vjz%m-G#6RTg zZL7_)ZchtZDYedD15tukJIfnCOOmm@;hxUvf+Zny< z`iNpX-{J$RDd@9IuV4X)oeMP=)z;2d?8_>x#wC|HC$8D*B;;w7HVl~!MAM)gLI;!cZIb#JN!mhw{i?7 zb107%nN8~E9-nTV(xf$!lkjm~*H--9uPwJOW_`>4dD>_Ova1^-O(}EGS><@-nF;h+ zzp$-}9Y~BpP=`QjJOfc+p^5TElH|=Cw(F;1+$LVj_g~i2Hp6Cce0h|u7{oDuU$pNV zXgj_e6fE3A@`B^<O&dISABXFvFm^I4(p4(tNrnQLog@3@ve~9y;r}k z&Sysn&{D{F#0w)MBhAzHd)TGaWalaW7+xxj$k1W+yqBSqg4Fk{t35*=2ccTJ(_76! zVj>}J(-W<_hOGO;3eOuNQwL)EElxJOumAl`{V#y>_x3sA_*@i4@?dsP(^Y+SrwT2N zD!zoL7PBVlUTBLkhtv$eaW^&$%O>S)N`3+UfGR96FGJZnoI|*;<3URSqXPdF*>VRI zmhu@(wgg1I#nTzGx=B?&gpa^KR#zFD2V~Tpiq~e6F|QmDzZESDc8A%^>d(tg74| zMs2H6DtctFQgO^z<57X&cQ{cR5d#Wez0vsT2TxCbZXYoh$xw>mul@e7jmr>20rc1@ z{9y}X)Zrl9B|auuW6NJ#c>f83h8TL1`N$<=!tS37gZUyF`Z!g!;$ig-j|p&z3Z|zG zmj(q04`nCb&iT0rSeIkQ6O{9FUk3=z&>+D>6NC6Pv#mf6p$1)MMWY)q+dU2i?IEZ* zfWn${&sC2m_zvw=&!5lEw}*+Gu4bn_a#4P71%DA->4Vl)|EeM7VnFZ>jStz`Oea*K zhzAUx&b%MCR^pApZns>ZoprVQ;Kpk~#A&zo?04_5hz*nTJ??C{JV*`PL+1Jke_e`F zxIg~uOZX-R@nh*7&d$0s3=IZ(+Coqe??%ErEG#xf=T|R$S%z`&PQn_X8GTGcG zwo4*%)PkR*&VG8)K;s1c3}91(>Jd1qx8%Y*t$WFVH<82x$hkrQ>?E%yBRl+9W$ zVByC{tt4#boD;ju5G2n#i(?VdoCu;khSSeb)UrHt$km+@)KIVVvCxTv!m5_**Jy)u zfo2wU;IW!yp)Pav;j<87^&lRyNXOOE-xL$Mw z*9Zv*<(W@^a%2~2ujQ&I*(-MMmk|=mPC4L93x^XSDKpP#oP$U& zv=>++GSOC)uN2Rxb-Y}dH<|qjHV-bFQwZO*?^4W6+M6^!PfcA48A;lo4n&}bY>UGDUEBY<1jcZ%*4cqFu2&{TF|ex-cKGh*U1<%`Y>PN3TiulBoD3L02*K}`hu0_ivSJmQjZVbU_PX_#j#i;I%( zbxjY+2cUM$TqlNFG=(KGME3Q-zA9iTT*xJjn9sUgNHtRXl}k|^Uvgwy!$3cOtrrk> zY@v%Lpgvg4;(9{=snw^m!u1W$M{23Iysnj354^vQGQo8cQ*!@6gs-HhF2cW6+*s}5M_tgYF*xW-QuTJo~Cd* zOKP73tnF9&U!E~5iKg}$;PiuNPPWE($BH;_(3c;LY|RKHUV;%Ypa9nbVQ1i!CLVL& z>tY=Tc?MXlU?-&v1lxk_a)!B%S>-rg=kwqHySXoZ-W|Wv10B(Xz#)ZU&e{2X+;*)( z#XH*x7RNQ>FVcQyRv~qD`m|eb$4j3Hd9>c(Bo6~S=2tLLJ8-mXWD~LMaJA0fdG%`Y z;#Fhdg-0Wjg3c%HjR*@6N}OP+-lU}|1Bt?g8;nA*CxEf9YnAk4CyYLN+->v(Q5!$k zMl_mNiSRNpc7*;A6R?Lb&wv`oL)x?K)fJ=}qWG-? zFsAE|h(-2rzZVxrX=w$@$Pio(iM4PiQbi*9lwT0Y!Rd?CbnSy&REJ&0%Up#vz!c4i zO1^wDtQU^#m&aZEWjO8F>_L zhG$HJc{C;V^8P?J*kWfKZ`K;m+So*Stud#$r^joC{yrB;K6EDMzmcnl-DC3VRoK$f zQrF4XO25CIOl%9hUGt1{9@7$hf9$c?SVadCJsH|a!<8YMoiO-#ug zJf7L|e(k^KmFe9G^8dt(XD}#ukT&bhOiX0YY@6zkf1h-~2PKzu_U?uENvUh!Y38V9 zAKJ%Jo%#fdYVStw{2gHaXLc9Jq>>fyvRoZ^%%JDREug~WmP1%^hpnCtNU)R3=}}zF zqKT!mWDbDeZ@{5$J6mQ*a$;)jP3-nQMBV{6eSW#e*XZG?_%da&+q?o017oO~q0cvL z!I$lxJM&_r_p;R`gz6zZFpTvAYmGi7_I_>xz^$BM!es|L}_Ox889tF8$LS z3Fds!+e5cP`bu|fiKN?8tEjDG-k27(3x*yS$p<7XsAlkm`THw&x^wo#Jn?<$@6Wzq zY8*_C`87yFm6WTROCbZvM$mEaW&AeV4b}iF)dYIxU3=?VqgeA5NsTvY0zZ9VrQpm5wJ_D)K;zE5XR;TVO^l0%87p#zG;_Ov zNvmp+4eW!U3lu=zC}|DV36#e81kmLoGi^eMC*lk@UJ0b8rKLf<)0z|Y#5eZDo(cwv zUJ3@L1Cg5(-@s7=*ECi7mSBXLP{;~}(gDmxm|5@XqwEjfzZ-#3L6$@+T9K&7jIVcK z0RH#j-L1aLsJ4)0T`et`{{YB4(LlXqHb4{(K)z#pY z437v3*z~|y36L<1`7g9zdG7qezMA)`yP>qPfOC^*tx=Y#({tu_y>?2BSgLQI^|P6V z>COukozajO|F}Yv#GbJl8W0>osVe05HB`2OyPsh3F4?ljlMKj#pA%8+9PMnt!~qMrI~!MryVp=dc~WDw>#z=cgxgUtZ@r zE`)=aNWCHQBGCu0ol&m9-@(cM@2HQ`!R3+9f~TLh=N+((gMbU1T#eaCPwwxpvE=dG zPQ(tXUu$#YygUuE%aU=gF(UWec=fBR3lH|k?!ABmg(NYL45Xe=&z5Vfc%|Ib`u^64 zwwlK_TH3!|e>4Yn{nRqBw(abwrj&>FO}gv{L>6krESZnU&?XN)yBBt>zs*=P7r60t z9!;FZucrPnx(FYY(;l`br z8Djs=qObBqkME@r8GpR{Tm*niyG2;>VUCyg!DNz^t$Eb0c8zM~=E8?zsbZv`;4vza^!b*&gO zx^Ya^N`EI%Bwe|(n9U4j^+WSIYs8v!U9U@>(@nx^TVr(Y`1y?sQTQs*z&_r!w)lB; zq4!*5>#Go%4KY!q_fj{RP%_cT5xjB{5fKQf%fAz^^M6{)u_R`(ft2{2nEt4Fn=Ppn ztl>a?+1%f~L%b5n^QPa754bgu%0i$lz=7{|>J5BdAH^|kXNLgILac<@#Hpmco2jc>Q;e(nz( z@us06BKWe`{5NW8K<2&>{&4SjArkO+HY#b~b7iZP4zS4v1>tyZCTi>S1$_>c#~4!! z+i4d=6kkLVG+;4bJgTXmw*F5IWM!JS3-tXF1 zkiOtnKT0&!;~W+gj!|Do{Pjy#Y@guhGY6}EFPYJU2z${(_N;8C`4_L#leV}yA>7uC zcm+Z&FbznhK26y{6O%&aI0QR7ZcPexT_>-w9-0U?cshwmB9S9^y$tvUp;?T@!^vbm zO-u!Cw8u~RII%VDX+YwhBhm=Y9lP(~+=){MS&d@R&lVm65Qzi8^2RP=Ysy8Tl<^q* zOp?IUW&#}h7&AL8#2;0G+W2V=sHtMlP~>M3_OCb@?{xP9*Pd+f9R;WV1WBWYknS z!^~U~^GZzJXq81Hg=u4jMLXQ*@vt9GwRQO2Gy&bBfoHU4y>het=cWC{Qhf<3f~H^#sEr5LeK83GzF*!JrDLyAT`$lABoB@RRQes|a@7Jal)+Vs<))@J)Dm zE`lVj$AIOH%M4kTE7S1b{t)G~wC@H99Q+RCeer15FpuenKl^tbf{J6}k8%umUL+YO z8+zQ!6alxJ1*BJ9JgyT)PnhLoecgIY9Qo%3W?@H=CvNy`#fh%XAAU!R`4>M7Ly?Ss zNdrn(g2Jh3u=_*qskjZqN8_S(^It^V%< z((wY`J^J)KQ6_bv(s|1yhkCPLk-p4;E;$t0-I1g`Mi6){)mcIaI`Ct5f z%7Z9?;}gug_SF!Hc=UU-vuIjcprFyrW0?ajjKIu$p&T$#rDHEThB{H8dxmU>qKUTG zr1x1Y2{D;P%sYqf%TR`evdFkzf|3;4z@hguzLAMQ0?r?ZufupcZj%7?gj+_WG}B2& zoKaK25=LQCR>+1NsgXy}@mlD4hG%}?P7_f zve-7?){SWx-e*|Rnm!T*x{dQDHh(PUqgZ2Sm&BFPQMb9=#OH3Kbvrk%Eu?QR_Aaw@ zg>hG8_UyWrBG1Pw`5ShyI*N)M1k1|H-|@z);m;br$;XxWKP|xVCA=aKsiX7!c~pj7 zzBny|9Jzymn)od^eGrb%eA(xJbDS&qCx%ovu0EhaMqhlO%s^95c}>~jEN5lH#)y3* zG)wi%v!xAU2fn$Qql$>GgNqRQNH~Sj+?2Kt-NBFs1R&jqD~c_Pxx-ckMbFX!TZS^2vaH-gbos>3t?bi&1bf_I2m z27?!VyGdsJjQj-WrQT%B5o!yRgoK?gb%IsY@e~FhhpnT(jE;}}Zo!opzFMA%QX+P! zjd0v$?2o(>EMU);EE^o*_M!T-i)7v2Z^6o;xN=_1{$SHTLA6?OO*qKgicfeiWT3->Ku&n4(ud^UNv(lRaQJ_W6^;K^hl zFJ8Qutg2IBOU+Q z?&hXr0IIe`Sd+~lR({mEU~~g~w03oW1gN+T*hrJWq68m~jWowb#urlhOq56-04~%^ zJ-5vyFvW-^$HU*ouV^!kWt3CM@n6xLc}#p38>l_yX2@qFqe4PHJNrVjHHcmM;$^iV z{0zjM&kB;puTHEJq671o|Q+ue`dN4gAnjwj#6&Z+PWc z*lnORFh0Z-7{8~Vn&R(jLkJ6VY?rJ~9-3nN;*l-Iuj3=SnmhWBoa@!v=!jAt>~fqg z_jTP><8~=rIcwmTCky}OvR)5%NxF+wng1o{T+ZIS^lgMXl&DhB7VMujUY+@@=$@BD z9p3lGi$CYX+!w@fv7C3jKF7{H9m!uDxE+q|b0Fi>#wvCqCo-@=;XOxDeRX+u)xY0s z{j4%&q-g32QB<_)EIh)Azp@&vE8O=)&Fnq6%*Kj}2;iVno3Ksrc+7QilBvN>I=10d zJ@Rt)d^|H+Ay<{0g10}Dwc0(tUGus}cTRyIq3uLMu~IX~*u;dXy}cS=8kTG0j~~52 zgQ68^uD@u&VW=k}u;v{jZe=`{-g*Dr6f=q2WD)+*H9R5*`kY;3N(hla`2FG`sL)Vp z1cK!qU3ng^G%-DM7siiM0|nQIdFt#So%+Y4KAe1WZOQP23>Lk*n_|5b5F|?bdwkA* zR%b?L;x}V`RREru=#`s#UWf))_P{{4;&^>+$wC|N_=VSSJuTr!1Rf+haKtu0Adp@e zQ1Q(KH`(96og2c>$-9l7pzK%m>N@%rxObf@<#r|=*#h6`b1fvXVD)5q|Ku>r3!hHS+b4wAQC?yvg92D=LpAc=)(jG-qxzWWtn>oA07e;avFgtxfAabHHU&>%$5)cxtx0B9J>1riBEG0=Dr zYjZB@(XdsZcvFaO_(ou}j+F7Va}76bJ_Tl)y}oD9JRMS0PC>k>u|yO4M2WDTKG7mQ z;4SLZAU!R?FX=%Qkml3_^em9r=Rx`>NRjsXIXNNAtQMkDUC>LBsxW=FOesCCA*@r8_bA~lt*>pl6 zW5rm99JGtT3&w&WIA4{G=ix)v3o2kC0Ju^Q!XnvR?1~*eM;&>=FI{;1nB`^2LPvod zg1EQ0cal+xgk=dt{T7w%;^K4h9}5flBj4(4duPOS<(Q$v9BN@<@mZ4tz-}l$fzoW4 zp!(AvAr}`B#)5me;2qyPGh-*D6E5$^Jv&*> zmYJg-j|;O;y^ATbuhd$i9J>&G1~oP ze7gJ0_(m6lb= zk*gj8W?LBE38;NvcY>pzs%yFtKZd;AGVHSN$ZM~t=*Ptf`?UL|$n-Lc%9M{7#l5gE z&A#GQ@?x1XVUoCY|BtBmj>o$H!~T(sLROqc_AKcnduJ0e3zt1pcE~1MHrX?Kgpip% zlf6Qey|VY__wv0Tzx%%aydGU~o#*HCe!s?XJP+Mfr{Lb+&NtR&^rf9`e;_lmyfqK+WY6|gn!G8I^Qr4ju3t#MP7oC6p6{94fjXjQ&nJE2voL!-c&}l0WqC>4Xd+I5X%cYqT#AXK zzt~nm= zZ0OeSD1Qf|Gjoz%rN=PWTDc|Te2wa{VIJ4CRnqKw#t; zAmI~F7!sbf_P(N73}5(hVoUJsFTh|O1VA^-eQ6}XN>~8MO9e&MPBm%85$H^BYAg@% z8TL2_0Xj%J^yG9;EuoB`;$81`<3KwhCif5UZ`m#9(eF%seF+{^We)~ z;!DAjXf&JRgV+trYC9{6dk8#?8pEI`^M)VRcljPDLbp6|>~YmwzPc)qI2Red9kc3G zYk~OYp5C}l=trAm7%9hO2NKn)scA|)vZHeojo8;b&s%Pa$NWP1CpdCwrZkjzawrj7 zTjks$FT53SA%jr;p%h(|0SMJUp{W+{EnCM=F*Bdm8QK<)FT|JXwhcQTAQv&!V+S-z zs%zO-1=4b(M!7s|{w%-kX1F!Zn5eKP-!_YTe$Mj!`Y&JR4LAdt#>e;$~@f0DL7p}!iuSe+^6HBXd2J8-ozU|qY( z>$T6z?{>rny}ABrtp40h%VtvxgO%yw1njjHl?P)g9$9)DSImVh3D3m#UwOsu(JG6= zv}U0bmsJrWnu*y$jJp}W$KIi6=9ne?s$4|yf~mXk;n7^ll`dTbvTlbC>t= z5Najc-1t9w3*BTt+Nyls2(%Br5ApP8squ=HiKXO!fS-cPounZY#lwK%DM_PPYY}E7 zsSz5Ez(xn3sOSqscq_M2SpwHzX|2eU7Uyu!0c6qIT`S52Lh2QDL>e1r+yYnZ1 zH7d0`kT?%xKOSTdUyg2UuoV{Wjm}&$z0jFj{Oy^l&^a%0eTJu08roMKaYj9xf9=At zj)ih2QViQCV5-N;m(|x_SdkKQ+;(Qak9JjhN!|j#67V?EgyftrYU;0T2{l1W15d)1 zmbSQ{SK7{R?orW8HE~@TGCaG-Zx?ZigOP`4<3vSc&i1_%z^+q2K3>9LGEr$Y&~{D? zYR?5WbmiM|I5#A-Q~;45}A!3 zpw1SOm`FCCh*MC>4YL1A8k#wmcA*F*#PF!2i0PEO2noG_wI|s3)ip$_>wAOEh^8FD z@zs9cpSM!mASt2n<9&1-dw$MhlBa*z9~J(5Db)XJ-cGwp@!1Hh6@U=ffNUS)`a5n- zM21&@l8!d56gcUe;>*z{kKzghC{Gch!k_29C|=0fq2k9R4ynht6lpjqjc#p|Q#hJC zdJvmaqmK$l_!V+eL@Z43yl*$UXg(A8Z5uTC#?H{#_wUa;_Y`03`vRd_JFG$0&!Iu- zY%cJ0u@x<`fVF_ARQ+Le*^M{DfhJZS!kknzV#PnxWc`-fCynT0RMbNeoj(qhq*G8( z`0-=Ngi{Xs<=Lnem*|G9LQs@S@tni(2rSmEt!ObZG5Li*J3BEzTD<852oZXI>v{A@ zCqOrrtaF}zQ7w=S&MjF_Np_I?zEx35U-)c$`Wo%!oh09tZzK(ahvGbjGli(G18#rY z-2U#T+0yV zsa+(?J&%u%CxL9J%wqd*l$Gsfcl*3t`9W9I`T5)rCsfa%3~U(Ev-n3^V)Hv70#wUQ z5dj-vk`eSM!#dC3bMU zx7~1Eh0^UQ1EC*fAdF(80dU0RByIWt5jv{ZwfQx3Y!UC;0cQS(*6-WG{cd_*cliE! zrD@4r4uq)5pbQ>sL4foBJUvK3!SlzJGf*~p4lOMZ`|q^+n-e(Dct``9BKFYHbFU)Z zw05M03#T>xLau(z!u6w%N^vG0#_Q&z+II=1ZVzm(vP4^(?EN8eW8YZ+CPx$|)-_I> z-|}9|G662!GnUrYKgS&?WqfoqPYDR-Knd2H-(ifGr#D&kILE>e0khAtp>@0I zV=%?~%K8OXOh##Cn{ucVgUjdAIVDgd_O!+ONyox;?-EPrLVIT;N9OLRV=DM#EH>f+ zlPt$bDD-RlUExskU5Tri*PqmQt&t;}_8KEU0%;w`msGlF?`IUq#uD{50;!|h0MfyKqP6=sHyr=% zIXK{|d9YmKDRF(-`|r>GHg++=t?isy%pD`e=CooMNuG4*Ur62H&CBZQ&J>T+h27#J zJT{C~k3b#Y-yOrOKX~k>E^}!AC0_nI3oNMW5K$NP$=oab^o1As`?q)dkoonOnwk|UG-n{|I7mVKYU_z~);v}Xa2^j+Ie)SYzxUZ=e10gn49ce3I zP0#KXAq)onUiK&5lTK`XK9#hUKXlLBN*oiG=ri;D54!h-rgu@q#~o{B?!nqB)Z0hNMA*EX`k40o_TeOC)Oe9k7g)i+bnli1YF*>yu22FJa`*Aq(D-n%x)BiN&`Ui+=9k4T1zI9Qx)i@Kt zXB#gcMUJO(wR6vondvL+9$O1o=^6*xdvSgq@yHiQ*3_J&4D3HIh6MM__lX|fSU zbX`vtj6YqkRn54r?ZV!dg3tE2N1v&>=>?zYi;VSEsHN3kzC@0XTim~+3E3$M_Pc>z z39qhqso(wk9GLGUkm5vXw&!xST=E@e+A#*=LR8Fz!I4UNrbIBhUo@((uU7yCkliLs zXQ!%Clv0IUqD?rv`}@Ncn(&(gEt1L;fvqJ;M~j*Pn0b;A)t3xLEw>+GNhka4Ov7ys zSJG!?0MY&EjzL-r!Ft(K2(*&33S6|^CWK(2F8da=1Rw*3F0-lDeHjKXMnY_h4Hiur zx?w$MEXuS17(#Uy68_d6`ocYswiK)yJh(rBz}X@8|2ma3ZN1;T$4UBYoWp~9ru?KQ zhp{BIB~9m{)U`5U5=yFMQrt-sb$}&1o2{u4+PI?}?1O)ePav`Yw)8rhzde0|JMSAMw>{>HyMFs`}pQ#6M~d-+qdFA(Fwd$MpN9##M#kETy1y<{u^} z+veaF?-4Qmk<|d&yU&`#a}6!XMU=xNS%8+m<)G~2omsLk*EKi)n|x$sL;)vI;m{RF zF{VEELkZD|NNLly2-Cy+Obd2D>-v|cDRVRN*PUwX%Ub?aRMe|#ti{W7xu=7EIi}t3 zNz}>3*47qhJh$^qLrnHOPqJ0ap({&{VXaQMaaVX*ZS5(pex7waXmFHL1sExY3JO@s z!vchkeQq=03}gDD!W;xPVnhS`6Mz4j+1NyYS7vLAebXs&> z#c>^Cerg)RNJ4g5Y*$u9WT4sDt>pgezJbtZiIqKaosO5^O)7Qw-}+7dd10_{+#-Os ztt=FFF(F{ZwE`53KCF*s1b$# zf{-R+=P6Y4!)okNva+?dLR983^@#g%BArEh9<9LiG+In}q2}((y>}dLA{+Ye5UYf@ zh*8BMhL`%WK>DdH?KG=%1~u zy>t$WGff6b1R9*WBP_|cF{oCYOwv~0V3M-h@A~81~`sax8LRf0x z*v{Ac8B^QrUpMSMmlS#bpQKGcZcR;bd6Q>}6kz9<^o;r5iu+JNLjwYO&Hvi&q8$Wd zJCTyg3F2Y5iG@f9f0E~eJ|L%c(wVYnA9=kRp!^i zzpMyC3{=<8D0lD9TnUap$$G^uu{xI*PQdW0QA_@cF8+iH(#l(r42cS=1?s>%_@8|H z*AQ=$B>tJ-=gxmRao1~@Byu^@(d1K`}gk?6BAEKzjt|6lO)5p3Qd)Er(fBO>hS8q1u0b@60a&KmDe{#eE-_KEI1=)^qzF#17`l3z=IK!{KAytaTg>Z zC{3xnF6^Klg0})*fNsm1haHx71N%2-u_`M7VZuF(A-@4Gn&v zusa$Wv9rMod3II=X_|4R+m~^ic`8@6s*U$iwA5*frA;L=Q z*JBJAa+1Rp2LTnJ$%onC8usY=p{zO;&HT%B$1tqS+x0osUax+ouc*!RU{Ao|v}@jQ zd5ikQ`{LMb=3MV4M7NP@cr%E?7O$?V(+lFWq?ce453Nd_62&+{(d|d=%1mX4Toxh zlXmL%ql!P)Bby_u*Z)@w;KWG(>dUp!*D;U-x@n?_!y=ppEBiX-L~Cw^K6C2!cPXLj zonr!~_5mSjI>!xtqoa#rO_5e26=d3N8ip$vQRSGnMySe8wl^|mTN>$;wsCu}7N}*> zelCGB4tuQN}` z4LFiK{z=8YnrKIONd+%|cdfK9@0x(1FY0Nx90?EakoN=KJZ^5Oyh(Qg#%VYMXGwe}XRRaq*uA2n!g`UJ@*G zz>lreHU;L1Qr^=$o&|by%YRX8{aW1nm&4xob3Wzq5c%iTSbH=3E``~5ybG{Mg%!cX zn)cM=$UnvVLAZ`C49-n zj%1IOwIJ7+%6*+Q>jG~W+_3hwydffXZrkmjz{w(x)EhsR2$czn2Xqe%0@m(2uTMfNDI~fLVovuThLEC;!+rF|@ za*!dA_*l}qvKR1q6*20<3)cC3Q7gpIk={v}2L80nQ&wjkbRR7CZci;|XWD)@RSA_; zR%K1w6Y}v)r!bc2vgQP2w6E(cMLAS(+whCNqkg<& z*gUsbij2;FKOiH0EId%T`d#Ho0LB%ZIQeOA4eICAw4zM_h|~J-KZ@IGy?tdG?C*{j z88Fkji29fkmrTh?*(1+S(^racgu%+} z@r)tbC{lF0cWXMfnZa(X&w}xGK!`L@tpyLVhC(lF<;iF+w_7DH1Gmp5vxfc?@<)Fp zL&?mcNz}$lP`|72gl^8x;quIJewQ!rMS5K6XXz|NH^ax3D5^kDz&5~=1(d3bTpSE3 z2?;3DS8|#9U&hz>jw{qyH^%ER4nGIJ4xs(GfY1Jzz^tNO{r+Y<_D1pJx$%G zDf?IEv~NxUae#FO&v;`VigMPF0XPQPFLv_pb!)GdVKya-<H@R&;{&r8s2P`A(Q@`zv{F;0M!4XIJ==Qk8K~3Hk0ha==Ue=3 zh1NA!=A81;V!pVvCzlor4YChwJTL1MS_v(*cb#=I_h3X=T`j{#k~L`w6jRWwG7tv; zNH_u+5-9S_27R!NlX6Xnumd84l>1ipIZdB^eI?n(IR8ybvM@s}WLe?$(QO)FDKF9$ ztP9lY;E5^i`k~`O)D#ro+1no%_&7J^l&k#v|CY0{su9h`%8~;OLA4G9KPJN1zCWPY zLQMom!!=1*+V;7El9GI9P(lFZ(O0l*!aKHPJM{V!47x#s1+XG6xg1rv-r?>KSm4ts zXG==Oa~aPe3%31J9uz)sPLwNGHM62q9I$lmK88F=Da>>dSZ%&elHK_|7rA91Mumlt zDmO!%UY~eF&~p?P?M|X)9NA1>#`-~#Mx(Wski!LE(!!vc2D>v=Da33(z*{>w-KUxlsw$g_l|YA~Y!zS;XQl5HB$~z38Nvb&r9b;Ev%B z^@jePNBW&!<7D9j1?aRoHhGhj*>ci?32#!L-X0vql1F?U!F)>jpb4teQ~v4Szcb+r zc;Lp3t)CBEY1lq6_$oPLO;*7%4@=GDbs1`pn@=K46wP&7OzPRXS zPSn$tIvtL;W!Gcy++!#{ZX{hgb2Ot21aHyCH2)XghG6@Gc0g2`_ovJ~I6vPApgq17 zaf^wbsj|9W;R(*#|BR1NJwu5N7?~B9VI3_LDzpp&);u(C{4a^n`~kW?YTbu`A$!Fq zk)H6u?MLb-%Rw0-nrxj0NCPh~Y7LE?YIxwHJcFvNX6(QCJ&9hg11Ff!dL4^vn0dK- z+S(e!q8Wf&ERBZDu`Pm7()|{3BRAegMKh^#NR>KHV5*$_;Z9b}&CRtoVk>i=dOJj~v)b9m@)(whE>c3(V zkmQ>@CF7Kj?ex8FmM&{IXblhboE`)J~Tenfe5_NeB=*<-3%vJN4yfY*iDfn3t! ze!+?Ws^G;5fLk_JJj18Qidf?O?Pok@&+{uPdL0Ga^Yyxpga#e0zm)970)MUlfuMBL z%*toTA+@8tvZ|0X@}y$M+NrLFw)7XS?~Ima^Bcg$g+R{sg3Ar;G%h0~2)XI>o%65S zpwI0;FTWC@D>E=WF&btNi-Kt?6Eid8K1SpoW6Lze__&Kasa$Lg)=N0OqxN@^Z_5p+ z(J+PD^RI#6XbezoK~zH86LDtisiPlA7i1(GgJIp&o5~%JbWkMCQj|Y#S-hc8t1-6x z<-n2POd*zvB0UP06wl4J0-sV74XP0K;BzjwRz5-UFv2itsK@?~#}^$3Rysme;#AD4 z(ti4(R#PCUS=0a2XJ&ffOcw=ll1Dhce`pX5znqg;$V*;G(_Q#(69r4J6+Udt`{b14EHw>;O!N$YoY zBZm2f32{yCHdM(uje*gF>qZW27(^Dv6h z+}xT^3VR|_w5C%gffDXgh6afG^7`k;G(Ar4R3lt`yla`??ptr%z9?El(cLBEG_sle zhcdSIxsa7#4yN$%`6e&Gik^vy$$6&*lM$r`!Vd7!LG8q)n5F&@fP{duK?|%aiRm^0 zuSsuze|c3EQ$rEVcEODY!X}p}nt7$CnAftI?$=LW-i<{P-Wp@zvOF^v#Yx)rDVBP2 zNVu}}zcNR^f$}W8DS~a1gPP4X; znP0zsV+ec-CiZd%^g&uz_)o-uPX+YE-(znoVJHbn1oS0>so@ILPvL>^^PxFmx~7F7 z>*;AwzS+;WW4p{$xSS#ab`{yERg7%*J@nDk(1Zw3La>DRE`Iw=(yMm+Ip9jCKbkva zNl+87s%&ToD=Y-Z>$K4_n;0cQ2Ces_xu*Y&bZCl7cwv%k}yE+gzlk~bw4*1=c#t-WQLDYfb9ZSH;lmUi?$qo~Sm zIhI&WJT$b~=KUH~mRUG;y@3=S)!iI%iP)sz)r7^$tB2qhJPpSF6o#uE&ko7qcLP5B z*(M?haoz^of%+Q;H&x{jd+U1ys0y*Vi9S3U#tU`k0n)>@=u6?DaOnEFg^^wkhHeCn{i2d;Y zcLEU>WIf&EeE7Mx!L8YCb{&KH1B<^G%e+KQ4%nOXQlSa~zeb5m*7sHne~kUn-Ee&X zY=J7MJs_D%8gyiEjTenE_~z)a_w;=qdTk3gfAfZ`B}Ng(M$-ECr3v=rDS5C z#wGZ`m>EQWFoLj0bKk6tm9%Jj$xasg55_n zRcf~hj4=p7^An@W>8M%pq&E%lEf9RJYQ#99Jn#7G<;z75d>n#-eG|&s9ZdX~Zzi0< zCF=kTHJIZ0pF&LxQ1{Cnt)!iHl!U?P04ZE^kZu%SSo@5WB$i_|G6sPk43j|d7g~N_ zft^-`s5xl|2VPERW9{;i^$UtAv&Qi(TtJaiW}rDrV+8Wp>W-YOn?(Q8%+hBemL{r0 zE^6mV&_&UZgzeQy`&NJIk#tXA_`@ENt?KtoOmajvnaNeCfA>wSkEzP25O$sY8*bb;^BJ|7|<@S?pXZ z8!H8|mzZW#@cP7oM=bvRC(3J>Om*`^Me#xHoRE<IMl#T=yeN~Rs=+9~VuIjzIP(V>6TiTz&|-KJUFrP~t*K-Hk|{FqFdRZerV%VSS> z3{gkQ122)(6*sMUw`=j(op!!L*u<~Ae3EySr&1I}i8II@R=yom__8}}X6F9v=y;Qo z?Uhj5ctdyv^(D*OD&c4g(~3n%g_~Qm@PwJTA`M}f(dH&Wn6wrM|KGg%cr#hAtn4UI z%Y(01r^yq*d5_!>hQn+a1~;e+4wyKZJd7_aBz#S@kuo~RV4CnO{o7#YpSt?($Sov{UbO8r<79*8M-7vs#6GO~iK zKIrcjP-Rc!Q3haJspo3sMH0$HF!8~PC>%2q96q$i?L?Y=OfMgHv~RIfq~h`60X<)o zig~3@^3LszyQGNrg<-*`guxkX?8DC)WZBs{NkddFdd>57Yg@l%8Wb1r9<-tn#YsIR zY&jO{EnrQ8wC*YEn1m#{^OE;b`Qv1k)~Z~J<>9_%HL^&K53ZZ!@o>C=%dyV{@oOC& zh>`y;gwDYB&J`x}IOJVYC$dnbw!Y7rp?~d^QYlaT`#wV%LP))7PKAjDpvS~92 z%5n88tG}=eQXiIO*wdYQ2a5j}P_>Oi)CV6W+}-@17krz0ByS`B1eRc=q&$xd(oWIs zj|xq$fg$tVBX^m@)=>hK15Va~eJDpb|NNWGr5nKH_beeo4(!*s>@z{l=$G44Ap{hK z*S@H<_MFNrD{!xD~|!9lw+pY`f7 z$qzM_T-fCc2?>F+1Ufl*tRZg+zUi+45^v)CMR?Nx0);U7+YY8SM8yKc@Yi!t_&GXi z$j7vs;mMxHA%mpdFz!OiV<2K5l&~J;KF02Q)S4nF>-#2UH%$ z21(NS8Op+zq&*m7-0ugpeMZm99Li7m4O0(c3=sCic*UT1nV{1%vjvP$um-lA0uUAq z^JC?^XPzsUysJ&gJ_nj7oJ=r`MU(WWY35c`;=`jF!RDUu+=6txsfVy~np`7L*2bT<+~-Q|{~s04Bh5SSJIB+XR0 zDm``a1e0IY_QF4bNo4lmTI8-!z(=1BtjJ-FSp6DzGB0HFzQ_DCu>s^nzsZk#9v9Aj z*cAf`4zi=l{Gvp*xr0UmRHzzR+v}F2w*o#4{Qf1<|1uRkeo*JgLUKsVKLD?v@o#Q# z6Fs1izFX&&qxyM#ogktM!eij|Or!)|0%VWa3$VT3@;QV9I3Y1H>e~^F#*@yu5e);WGVF%ihf`1ykfMtfxmIS}t~fh2QH+=q9RBgesu8 zxL9uCEkO-I)l|M=kO;qAgPu7=iGiA+6?tPpLUgn<6JoO_654IkCD6t9$dx`Ln4m#J z_p=EDlm=(wfA02v*$PO{4lBA|15Zz=2$z&)zkX{<6_VT#6klfa)Z35}H@Yf5!a==i zUTwXE*?Vm4eSSZp&lH)W1T7DEZT_|+al)xZufDKKh`(f}dZHUmhSEA#@-luMDGJnV0@I+J34*9seq5zu$)j9T zmnSQ5h_KzqO?T&|;@I`Fg(13dle7NPNmcZ`f)94uDV#WLQ@JmT?Om*J&u6`pa_4X{ z68>!c82NYXX+!LqS$N`$3WQiMPpScnuiJH!(-`s%!6TbSQy$Yj>q2_$gc0Oy{R$%% z$HA|u8ghL(^M4NbueSJ)Zl~Y!O*^e6_)=zbTl~mXm|d^_2T=4uZVYu_WY5yX#6*VY zKDL<=Idk5KByO00eP6F+3asWqxybr!h|Gmdy<#$3hdm-GRB~R+Yx$H7F<|OSg8pID zuJp^7P@V$klv!LGvCDbVXByAOWxS{iQ`)FJ+GCf&w zu^L9f@(ft9iyw%0f~9@E1mgl9P*Q@~>Jb?OShwFJXICEH|2wp8%uW8~h2n1Y%D|1G zN;(VhX;8L9uMUgh?vg~fL*RiJchu6?Z<0C!5ESg`L8J=(7d-j!XA?Wi8XJ}H(aRH6 zG&J6x;F>$WMCI4BQ zv6Lm-2Zb4nMVby8A$8p@GQ7mQ5?i*EmR)mZO#|CqM(&P6eMAJyBSst&wC>Ed~st zA-7S(O{2*0YCp+-Ew<2kUD?dF`{58NzjvgymBOP8!orxZT;Uzub=I=#4>AiSm=yhA z=-?F`2V|>qSlnSp;TB8s`pBY(x-soIt_vqD4=?W|JV2Uk;BH`^d}Ac8^FLHBC{KZ5 zs}R0^e6H#=xqb*>ESj?G`_ZwO%B?mC*N=B9S(F^4J+C|J_AMDj_5;_>=g&`!#_sZ? zo;%?#{ZAi#?#h28npvB8&)k5&@&GtfJahIq^PXsEN#V&# zf7xZrz37L;P?M_GF(&Yf%j3$%+0jKsrtyIb_-6(lb0{`OiLAb`4rJ8`e_C;YbqCaa zH_mvrESru!ew|id8E+c8DD|&GlHQ%wu2hDWkNb-a#M1ff#LM6K9mosKfTrb-^*abn zf$P%RdW*z+J(2NDc<4JeNtCm0i#Lg0SnY1@qp*e)aLhpNJvTRFM7nIy{a^zlly{m& zOs>iV^EZ`SZ!b>jlBuiyIXT%44te8Tq*(n<^-NyY`biX4NCTCnrGZ|ZDGN_3vxlW<;ov?g+aEY=B6TOSUSw54*x**>vj z@;s1{6TRdD=|*p_vd4v;fY|u4)-8-;k^)JeuansV{K1Lx1RnobLC)BBT+mrA`6{p5 z0{7<_K0SHI`}5a&A!BRAYko=@4t7aXT;?;OFUM&ag?*aW9ME~#O{0{ zH28e--zSuRu%D;}A0c!dDg5s+rmAj2SA(ibD!zQ;%kB);~sb2i4mlH}ihvoMxy@roeVVS(iSu2#HOymLe3;#4c zjV&oD18B{SIQ~v<8lm+e7Zt%XIvjSZG6HWt5yT3h3tU}!SrO2Z-^JZuN6z>@&Ea$~>n@w5a}4B%~G34ft0$xskf zHUm*;eL9?pCT3>RR56cUmE53&JU&3j2YyjF$AFVO_6FL;MYBhmqBmrKR+uto|I(Fh z^&_ZsR-C!n-q{z@Gg&{w$B*bTjRsPDCV(u1C7rqA7c@3`9{Hl$&EypoS|&10)%CyP z4&z0EUAb-sZnk=Cx{8L=veAtK@ejVW{G&!u zL8crV$7MzwU*;kwb;4x=B|P7{yT@ri-rDs@`{fwtkv_+F-0k&JP< ztWNWn07THj563rBNmOhcL`4r#kvlEe8kUa@ij0+U7n-SnqYE*r)6*tk5(8^2NM{19 zreG@uCdh7+XkgP}{|F8;>au&yll-N)807YB9=U$#Lr5HcsrxE>tq#BUg}?Fanf9mS>~otmR~{!vteDCKH6E)B-KXQ@)3foW@T+^*H)YqxQtI6C$ay}P`L%9S_~B~Sw5{%zmeyS77~R?7iTOg_X476c6nA&fmAA z;7jDTl|DjyELlpAl5bOu5%M{D;w@}WV7V8={33I`PC-JjSDIww^<2zBYRNe4(ePPt zB)b1@ISANCC^E%>+Xy&kAbq*%`}CA92v)=n)aXJbHv(H1WV45$gjgGAX5*31{QtQC z^+Dgpo6>&Xx@QpAqqFKXgyVa3A#`pi+oVk6wa+Bz<|e5VFE_=s#m5D^a67ByQ-y$? z=lYr78Wf)2=0ja_s6bY!MC>!f&3}cnX!FZnH|5Jg4kLo98)jZy9MbY=g>VIJ7$ z)Rq(ZHDRFeR(y3j{J zbSlC)`HqUu?u;c5+~h(RJ8hh(W5*s;?mN%S?B$p+O#9hMSWL1eq9RS)7kA%{Uc*G_ z$(R6|w;sGjmB5@au(wzJ`MOcJ0l^eRhgLuITDIWR>p>GTjFy4Rl#9}{=39Oh6&s)A zA%+oW_ANQs2v!Ze-yn3(K2sYl9Zi`^n!TQ)?^H(kWM)vh+Vt%5ff*d!-$;^Xv|ew-Iv{qp<%Es;IAr z+4Id-ES(N@G$FUUvoj#He88+Cy7(K^ds?!sE3(MoR%AB#7+x@aUL#d~5=F=KdNI>Q zLqkKgN_c=CLV&50LsvdLS+QsE^|t6TL_L{)tKXwu+O-(_h~cN{zh`2t$Q>VVkS^-K z*Hx-vhn}n8VR)fEK02f^G_!D9GUKqKqmDbhcR9N@-fl2v5FB_qGb0!K4m#Hrr#(1i89 zrV6dbng+$uogj?80|jb*6UG`!UMvtQ_~E3ZK!u4JWGfwUTv|vyL;$# za1vd^{F4VpK7p8_^QGIa@ksp+&Y|Fv3l&JJ_so`tXBq~%*X*yGrVlqdO6=l&%0T0! z_KyA4lY{-9*d25tUfJ_X{qw{5L+v)vkC}sSs>yz>`=OyuYlfcK%03(Ku0L+*{cC@B z?Jg-iaFP{T>NCt}I=3$Zci&!$*lvx0M-pY5w9$JIxZ!e3Jxt$@8b_hCGSc zd~xQFI~PoNd1Mt7X3raOTCn`Z?Gxw~(r@=b8W{ z!P5)FCg*Msw}ReB#CN(WIvW%aE!Lg|3k=zYV7z3yac?E%b{lr;Nvo8O8+&*>(9qy_ zKl%FUYtvxeI}7Yn&!Vwt1T!cs$uwawrCls9{cXpdc9*r5MNI*Y3b-%*CXxnDX&v-iBIy~Ql1)Bmo*xyYD7q*|Pm zvWDE|)^Ovsr)v&jxE0u@dkrGR1p4ri2*$j$FzLi{wuio`uHO~^><3xf5bb-w*~-Lh z_~xTgEnumHuHk7BbA9u%xfA1qLIC_RFEfm5P?5o0>0O!(ExGCMs@?6{z<g=V&?^yS}o!Z{@sY|v-1;k>gx;S zxaY0az%Rgw%q@nA(yK4Y7b`r^h@}Gq3~v@3egE_dFVydJRPlfP>g{;MhC0>BgX3gf zAN9A)7+M$$T@P-HHk!e;uNU1f2><-W7-+-A7&`ahl0wz(!bT5j*tEL%`QOY>05I*C zi#{JlzK+OK8S+e@^h{65%$Vd!wN3c5Wc017Au0L!J>T~EV`(J|6}+|(h*qXvY>>?j(wEQ0`BO|oT)ds zq{$FLSWgDxHFfa+p6yC@GDQ!)R{yu{FLF^>RMJ{y#Y#bx{v4SKKQ(+I5(>WsX@zr` zcBAV6Uy!F9$jvapK^gYeR=_!>Mt&K?ia1^J34WfsW-b#WD9eq1740mEToLBU6) zdZ=+wSz=@O-mrwppK8Z-935316v}OF8GUD0oXN{!`DDz2w<_Q%&?n6z$xLoqJH@yK z`DOA0`w8TD-M@K=(gO1eKi&6FSeawJvqJ2Dg1})wl=U`pQHodo)OV$7s;HD|;j(jl zkfXEg5rtK08Ru2^?_rf?GMGwtNY}V}4h8&`vCOT*TY7OY@39&BE0zd0eaH8rDv>a(x~!8Dk60 z&_^axkTrg1XL)$S-bmGX&%AV%oIy+zYX2Y88l%TCBGZ;UroFp&bty`TBVlSoeKkiN z-Lq6P7eJwRX!WP`()ID!+xyqO(plNRt(3G#?if&tDjkH`w2QhY%s#HhFSlxKqb*85 zL62GD{9ub{8fkf_OLeOeR|qpDw1e;Xl^6VS^8sctMZc{IgV96gka~F%=5EQ=w|!aa z`T<(S!7pc=QpZ?QoH<8h?I+bH`J+y8r2fZ@Ot#jhN8=73@p|L`YE-lj-Ukn~_4Js? z!x|So|2*3Ny}m?0+$;HRNgjdTIwE7ae|9DS#!CSC1oNWsH{*XvhtSB@)>f$k<5#Ys z$4t?|b8*c!nZe&GDkNy|4M54OjfO?d=(y2B-kr*>0*x=;SmO!D(s^uhe;O5uvPq{akXUl8E~mIN#P1g8S>0m$nnS%+QiFPGujUPH zS4$2*6A`V@c+2RW6aRJF!R+^AdN>bvd=MpDhhfCQ>OPfE5=7^9h>vd-zkItmxtL&C zDjZUX(5bOCZ2#8yHDJ!Mc6aAlw7(E${Bq)7zUS)4Lk=E(UZb-jSCd_$qN9~FC}*^f z0M*Vw7(e!^N&WI&BF&x7pG&!RPY%;SJ{x#8Va)ROE&2mYG}Ld2WOyaTDp!^I^!EFG zCTw?Ih4H{=hwk)#*YUx9#I!TLYjJ>H!R&2cV#q-r{_k%qSj8dxE+K)2JmeXhboB`B zJm1MjpUlF1u`e^`>&wZBX=%%k^iS_Z$@&$Q)P02R1df9PB6#4zHS6^LJxs97kq9J5 zT$U*(8NVW2Sdm`zT)Uarki@ct{v0Zy|C1x%b$3Cs1xbh^-|lxOBGtM&WWA1%4>wQ( zR{iKNTfKQfN=f!fUXG74u5-9dQ$e-3 zZSL!6dud6@&yt3nuA9UBW;MNFVah@rZ9xTlLqBm^r4&BeJZJd#Ak1i4vgP~KR{@zt z9ysb6fDh7_6iiJ@n*R|+4`m=k5iaeTu;OFExE~?}!7e(y=>%qstN=Ye1@&=$ODz~h zI5Z9TSnSy}9&z)ivWhf)^UGV;X()Sk@5dC6IWu$O`l0Q)2U^KmTBY1CVxyAhY$P2#vvu7n(Xu`2C;u?=)4C-m zaxK<`$|*XAwWHT^3LnC81@{AFiSbe1glgO{W75(f=oSw`75R4n@4L5Y`}SmfYt%|A!~O(jopaYDIVdCmK)OrP0yFN?+L z-b|1&)%pFw#wnqFd&bcE+f!SZ8qm2*8=K@`8ja69x^3chUhUOGA0gBV=%w!Xda~c8 zmuK;Mr5YDm5Qfsq75tX`UpxA47nSjPabtX||6NI3U%s8X|7>y~ zf%J>EDHDE%?FHX^z+il_vM#Ty`#A!+9Pc)HXuAyikTu1Ba_@q&H@k4SaGYbik;2%W zo;^VAgP1o+*tEpx23yP7aN1}9H<9bNgE>9L@;iBg(fu7fmO$QaXi&@>F*G$@y4~>Z z=x2Sq_uEpK*hl(JZ^$Qmx2`kdWBpjH0EtF-HUSPriveMQ2_#k>tg1{V5I9^<9dScM=!Zmf%J?-ol36WT0 z)T>xLAmvRLu%?tLdUGR?+?4Y|7f3yki1Mn=ZqIZ*o*t8|7NrIyH>8+Ni*jF~TK^J&cUcdsqd z7Wew{xA4#IPmA4gyHc$A@X6#n$SnJ{!N0<2v%gd220?5>m9e*bb$?_6ebEs|m(osAu}X#eygy5(h6&mC~{jtF*XGkiYv~7zRvE<@3>F z=6}B}WsL99CH}xZA@EsQw)}&ngoJ|4&0xVnfK$A2YE$o%7{nn!9Um=+js)Fr-bj>L zII!F0OWF_UNJ6^(yOB6@b0k~_&kSLu2!|0ImQXan9KE0e{xCE=lwI&O1FDqqxvWB` zU)=91EB-JFyg&%RK_WhV$&$|zr@^O5AIP#G2hB579bAeK{3De_==5DzuINbUg;Kp= zc$4}=Sd-rXT>|mKh6yBpYC-u9ST-iuZ)Oa={;`}8B)sV$0KzI45vozg%r@HnT)AFH zY*(rrgGkBho?WvTV{n}MK6_J!7}`Z21f|iVJ1QfR?-%K{@EEW**!vW3utGBg&d;k3xgYM z0LD~8d66!n2zw2Voj$Xe3iAO~_IM~H%ReN-?lnGo`yA44;B5n`8Jz4(q@Xz&-~OJO zFsH(%AuBC0T}Irjkxn=3#)95y;YqP77%|&>g=qWFi$aLvTl0N=FIdIEqT@{aGDF@u z9CTHU4~eSP@|1REfE9P~3&vYA;gl}-t8AN&)+=>O9WRLP_`hbk^T9g)Z5Q)%tyJ10tc6G)Rab zC6W(~bW4YTbT`tS(p^ePr=XHb3P_hU9zZ}qK%~3tU3|Xp?~gOa8RK}sC-&a=T64~8 z?w?&U@}X41_XQ{1?&RWI^bu8jytrVL)LVaQ4?oJ!<1}~h zqE%<6Y1|i4eofcF0Q{Pq$uZ%x=B$oe`jVaH1+{>eb*VqMGHmV9WFrEg^=QN+9{>i2xNUW|H` zF9ix?5M%MzSWYiWP{rSKHnD_-DOmg|20cVP;BtXlBEu+FG)v(1=`4{B$M8R^C) z#UD7A;x!oE|9t-0@6ttXYbl5N`qyiutAw9VkvS{=qW<_Fhgp_BnebjHiQA`uzE^sk zt=j@`2^ezK<3H?q>(N)ppT$(y5kcqDr z-D4+LF zZr9(@pM-A%xEgLjK4TL_fsl%Yivf;Z45V1{NVLSn9DaC_cTDEtA(Ku;PcLi|MI0-= zqVWv=tGzuSriD54X=sTfMISwC_V28Xwg;9bG+oP$&}68$hs##R8zC0)0J%nmL{`|wh!}9?(m@%#+X~_tQY+UjyOGXgVK}y%O zMwA-Qi;jbcuQO(lpv=P?v~nfvD!2BPQavp!HfFvj&nQ`GP(qF4;?bnocHl^MhO!n| zVGWjHX;VHr%M2D>Vgr_LmC1(RwPy*%dkx-M^QT9)dw#g%)$EkL(sw4jc^dPbjLz^x zTcl)*MmV`kj~&hD0DLGB6KvN{=))`Vt8rS6-ATM@D8EN7e7?#YPMmq zwbY(gbpzs4;8g;w4#wYr+|d$fo`q?LH8q(RQBequEYzpp(dz-le;R6d8meV{|HQV{ z;Ns|2kI4N|#`2w|X`YUEM4O(z%li271pm3cG~uuir-9-qQ=K1!!!`P>$#9kf&QquZ z32FL&+W><6NI-DddMdR)$9lwNsiHujkX!*vUxN7L-@i=8s_T!3Z!*E+g-Uc+QT0Qp zxW-Ns?m^ZLU7A9FSo9JfqDKKslw4+qyPOD@gJKMvs)vi-Fz!g#`o z^bM$eKkz)INcp0}J-1i<=}AZ0jG*B9@g%{bG9#V+VQ@VrFM)h-B?3Y2Ar zdLqv08a-AnnD(z>oy86}00=~^Utf3$3VCE7#r=MI%o3&2r5b|` z7qkD`IKud{DojXz>uU9(F5i%!eVSnbVpa7N%Rv74nhHP?^iyAbmWG@1 zuHX5_d0g`O^F*taE<8jlGhh6+ zL}_*}G4%*}eHyR!8Co132ya_XAzUVh}} zq^4q97UyN9w?sh-6{nG7BUY<`Fi8nEyb&VAqHoGzs7R)Qj!RS;@q6YO#R!~PP}%{7 z&m}aPi~nGEmr@RV5Q?{F;_{z1N#?YO)jwBVd&K1DaPk4mhC#)P@l6!JNBAzE& zF`3*V17j%sSTStTudnVtN>|{7IL65w1oEwH$l?iN;~o#yL7z7&3QTlh{(^=qKo=ER zzTj=d?Xi%3~!NenMvVjNuvm0EwI66$qm8XN~x z9Z)H0A0Q^XKK$hSZzp-z&sSQt1t-^r+&K56wHZbD-C^2gFYWJPyP{(Ve~!f5`ugvA z>2&I)?0c1B;;NODISQmhwJ0zoS3mXB8Gq4;VY0~~?JlOS04yUF< z{sh|L%>1>x|MhA>w%7$t++Wt!=7o5A{W9dJFp`|seA~9)_&KJa+M{RV(JaTX5prEQ z_n-LruX^~S2jaq7Kt#o;4mRFwdHx!^@d6b2-c-N0>XvS1haZsE_+`C!XjdrN`>3hW z@yKSTUgSs})zZQ$4m%{c?GfaH9O_c1#|I-4o{Q|=7xQcciQ;*xc5cEstr2Umsa|Vj_YwBo z&Hd)SZJ&mLOTGBH=H##b0@A3)15PfQn_m}G8*KF_G-KaTiSg^96{&9_*pV-$tPD1r z&|?Az#tiys=_rgXJZ*VIDxB`N+%NLc;=il3KUF zoPC0?ch~kC*fq^2MIVW_&NHMd;73Y=Ke2k6o?JJuGjElbhwrrx-@AJp`j&G}|2WBC zW}OHj0&U&}?GSKap#%yFzL+@JEiQr9FYTo;@+FmcZT1L3Qk5-N_8@@~@*MQ!n6Wk? z>A^=2D@j)Zh=cO%3y?n_xsj)4N{9{8lHqV}y0PciXl!6dtx^~L-d>!d^3dmf@!9mv zs~+rMp3T{I=bPMu#8WSg?48Otv9%uD(eH7BUO4!2x64z1Y>{vJRiykzmQEZtuaj=& zP1^!UvstgXk}Ey0e%{4lUADrdbk$ru59W_CLeikzJ=q)1{sjvq0az$`$4)%u79+gB zUnCvQrpdO#!p7Q5ArJz-ln)F_qI7ROI6Av{4bYC11@_QXJ+{7=Ho6twhD|z zq{>TP4+Mzu2T)y%(8!CNxY)&&FaR!fLTGwUY81gUZhiPF_RCH(x8k;e{u3P1j4**> z@O7SkA92&+bBm(g@g{*aDH5miEJ6{`I)#(*BLliAPu}xB{^Mt2BF^Ik%j&{+_m(7~ z!E!>L#bDZwcpPE=r9`$9KWr?2k&ezhPbC62;)+Rk@9I}b7*7YW(&kQ8_ z&XcQX#P`R{n&Swd7px9tC96w`Dm9_rc|mFr-eH`s03=2;iQBt*27Qrl_C{Up$aCEB z6Aq%#+?@h;6y(p2X$jU)0P8f6pFOz0`R8#W$M=3~axl+*6Momug;gs-Q`>LeLWbe! zIxFdl{7yCGQe{%-MG0B)c>NYniah}}PUOi2OK1negyZp*@N-Dp`_khZe=iv$Pf`rQ zxQh_5d823=X*x-#^5yl?DSg-*g$ZX>rqY8>lYYi0^yKDnjx(w11!OSr6DXd0YfwSo zhI0c21l5e#dqHv-m7zAbvEcoJc&Lx@BX4JR7UJZ3F|2L*vbO){1^5lciZIhti1_REfA8dh>B#F-h)(71 zp9iE$y}hWl4~Cn*h&?GZVkb|E^kYm?3!PQ?ma-cUh_31!4Y+)lt+yIYu ze+Xyz`88k4Qf^qsgdpXswnwo_;jDOQe*?*+{l!MD2t`Okq=WyE+PZbe(~Ovgq)Ubd zAyp#YcdO{P_hAKpCwy5Gxz0#9riwE}S8r;Luc)~fL)x*TTluAOcHXCT=P|NErtTjP zpJAp&{;y3ox9%maJ;au!{7Q`qd80SHuFzd9jnuK!zcI? zp8hp*e7P=G0+Gg6n@c$Zld#4aErm6X?FR$QTQ?Jsy2|<7i41&EYDq3J`dQZyzvnz! zcke4H8V8(qq&koWd9*$>_aI>)mApEiY$(;H+eZ%&g~%=#VGJt5-zyb(Q_0OUn38fP z{!1mt*3b{PBK$f>WgUS$dEkf@EPBh*>vEeL)iAP4VN`o3sh$smjN&(Q9We62yahTL zOgYK*aN$q-p-lq}#@%ecV;w*wy*g~h4g;euu%eW~ zaR$3qkRX5(;F|*pQ5*`s@1THy-`7L~t!Jc>mCBegHM@RT>>*-TljT|(E5GOJ(f^O>MepI^ zHD4k!SZJMZMZQXadF_(-eJQNXK1y6kQ|^K`Oljgkg%X{Clxs6gyW*t$_aozVG#t5q912wKH5w{LS$z zF0ME>4$zL@ohYXDd^W3kkm`?r*Op8zQt zDhylxgA(!BjxXoWXR z0fnxMC=VNlMsFQ8Y{X0f%d|ipgB}@x)@n0Kes_~gqxaAuc2X?ZZWMx^E_Dz6q(qFG zD`5#~CS`7;1ur{Y;)a9OK8qT_H<(L_M?Eu{mkO38eU>W!1fjSDuP>?3WTw`Pen;`( zSCg{jtMQ^pL$*591DSEe?M))QgELE0b{vFS;5Go7F0%BvB_|;-`tQ44@qHoX?!o9b zEf6cHWK&a&IJdU9p{^O=I*HXjG|$yFHUG#|QA@ITu@E;!FtMhsq?kK_#Q~12W*Fg9 zN$hbZ29xZ#huDc0DiQmWIAWt|Gb@XNZ zxW^|kTrj`EL7Edhvx1zikyM{-!pzYg^}^$`%0J(S`bSPgxXRdns5~Fa(@D813zS>! zMl7?nMUkw2NSJmLpaf`7u{9_qdwQwqALJ}f343sq*?GC-WS}9P;^Z>kOtIj233Ea`5uXfMA7C1oBs5`u$yo$NG1lPdicES{V1LbG3(u zh9K>~;zSb5yokQg$O?B0&bE&bi(^V*pCXpS0_Fec$PLp|ZxUpx0m4`)24C71%))^r zsCMA{LUe8_$u;hpHPw9Z#lDysiUMY`GAa&qWPX+ zByPNLPQi?t9*3j)^HEuG-U1iF7nxUeFZ#dzP2E#NH#k0-KJkN&&_vl~A5I@X?tud# z{!kzOumUy>SoGogF5H>*TFv^l`h4gAR<^dS<%I?Vr!t=>)8l)*Ecoa$`*Iy#C$AlS zh)d=|R?ufSi}Sz(%6{JVg`NuGzPkE14!m4p-k#}$)lwZ|jvku6e`vl_RwE;b+MDei z6&xxvI6FeqdS>QZ=hur`wA#(7Gt?%Ihw=|a0)3wi9~3GG zQQ*7?Hg97w(AV#(W&y4ZM1SUw1m3vO3U?T>!`zy0ouQ{2`eS44p&Jb^7$70BmOdd9 zPxXWptN(Av?&X8EN)u|32>Kr5WBq;ku?ygS6mc+QGd19bcfc|b-VQKBL8gXGleKVB z_hus?@1MYM(KyzaHGUS({Yib9^${AB4w_i!bTQWO=Ul;@6!|CKQ&6anNcTeRQ@lDmH1q8`Kk_fTFjhvMT9Xb|EM zKK@~uujgkKCn}1J+qib8aEt(0bw*~Kr{nh}2eEyh$Z~lj=|(TbR~;11GbPSKcML>< zdHj(g&2cFOLX1h_IUHnvc~pTX&#>nkPEayDPSzNLLi6dI7@bSFhZv{8in)B1qm)}k z+Jlg^+hb_U@A6>oYkYwJp-n6DA$eJgni+A zT+|WlJ3_cZxX%-f_;0ga?P8f5)rP?%~bx48P09=gg~i z6029lC)omB%hNS!rj*Ca0aq1-P$|y1hv9-+N??Cs~_aUzItGjeeOKp>E@K@GQd z)n+7wnG}vV(D5SybQy2=s@*92&6A7UI$=qI$j7jQovKv?N+eZ$O>M2a>T>gT>L(pcK|A^iROfF2Cp(O#Wfbg+%F0}cgGra`TA2Rp>h<5Zl`l~R z>t@^YI>G_6qQ*+kK2-FCbkIaUpeUAFlrtiP!34Zsq_U)9@aw_321nJ~0u;s>$rgA-*|z8`ZE%xffcw?k2u8 zuNxE5W-Ki%ik5(Oc;JzB>5tZjxg9*+KNd!#sHXb#dnvASUclaootvZ^9piF?Mw(F)K!Cl_&-c) zp9mJ^q%nwdFgWWB4t7eKByIw5Y9 zuZ@GaJbw4BDreI<|J0oI-uP?=RPioDZBa_zhu>`8{kem?+j%rOzz4;ieWPEw;j&~Cqe1s2}w>M9hS;j?53xXG)z zhAJnpi)5y!BTKKkx6YRU+#mL0W}M$H09#W!smhJ5Ieyx72iC?4F|os!S)%9t4^^+3 zvWhFpC@3$)%_+hi8-5&bvZ(4?UJSmrIKX~w##esL^9B?fziUow~Z_J{bTu|6>16@76hBrrs zFWhGVmFM4l3H!E!MvCiE4Wd=c0Ae?<^n@iCk_*4g)Y|u-%=K*2#^ou<&01W`P|=RB@M)uTCVmm0tN zw0UEzXp?SFC}AjSG-TOs7Z29exXSzq7V+1Y7zL;pu%nLhn~_!Axn1UZSZ4UN4zq0}F>Ad%26 zQTk*WFxK1)Z5fEs#iG*E(lYlh*Z+C?_dx1A7$-UMQI%sLM3wA##83auU}m!gSrTBA zE%0BQuHLf+lNFP7x032^cQCyvW>qT`rsdt)3WI89wXhiXmQ8D@Ej+ zv$6iUs=EohnjX&oRQ{*p)533$9N(LcaNGkZ)s3g;`Al2^2-L7hRQC!Q?eTv;RJcOd zeD~3DZkwCp#z;W0n$t%si!z@~x>=1L)e zsH3|I#aw_pNP#o(;Xf5d#J(hXO~`Feph)~KGd}qZyg;M|cH}YkSB36_P$`ZR&Y`G| zQUvSL&o4WwSzw)N_Y31*?Z`+|`3rDj#L!mR!Jx} z=~9mo9p!FO{^8WiLq0*z;Pp7Y6A;+rCCVk3O+!Po?c4DUjpN^BMvMDwei#?K!w)#cEB;+z(e4_s z5c4}Od?y->HN=o?o*FJcY%tj;zZVKgWzSLDoKpis97%}8x!lHbJhOWW;)VO6uj1@4 zZ)+duPS4W)>*m~Np8odu|KkX34{jnJg}@sG)DUR-_#GeuM&~aZe*|&-*&_saWgP7` zDWbc2m6fVhKC7u}D(Mm{`%ncL#EWw>p^L*o;2Ks&c%GkT%>P}mlri52FK3(2&bzVG zTYDU;4}nT(&dA5n)1U|MUrD+`_F_$)QJe>=5@#D+V8V@~;NREp9*4Ag1_q2TX|&m^ z`g9xXu>>U{s4U>wtdOLsV0|YKbAaqxQ$iK&P9ldT8-E$($m&l%8P`Enc9LsWKvU^d zf?^!3Ga%vyeJh*72UwO=J~7urID;Tq(>@T$MsItRSCUft#?Mk>- z*^cz;)5gB9wbq)w|9kl&dEfIX#z%!3`C~(P;|n9MN$CnPuD+e8ks&DBaKoscsfrIU zXu8!>uz$V?N&{8Wy3psSq{8fc#Vfl|Yr9!i&%3RDtePbnUN^W6VV`)t^}F}9nFuEw zBDl+!X9tpXwJQ3lVaB;7<7rWE)GAyq#_(l+AJW500s>H-BJMHNKG$BZ!?gLEyyM)bTw^(h&f4;El5a*NN`$H`(%wd~te#8k)_r zsVt;ifB3}-T6kBWt`i935S*`0e4HEzBu?8oY)4J1BAzSB z6DTq`T}t7HBGJG_zvvjT#0M5O2(U$Q?lV{0zlVeUOD!$n>>$CSdyx<4Hf63r&k;m$ z-vw|E1{H9sa7)aq-Ms+I1h`Bg+XHn36_bFUmwYS+e*#!DfUyUMg^Nq_S{9}M$CtDl zUSMt47%rG}Z~>kF^M*nxvjbzN1c1f2Kfiv0A8jm%vsPspgwzUb@tqT|&RVaJOCymz znAYUkODcU9I=&qbPlJKYU~7BX*_YgD_wa?L3`@FW+FO8EaY=lhHq+Hi|L1<@%iJ{$ zq3c(ZOgo!!l_G=8KIZ@p3vdre8Gr8NAL$~lAm7!_LTuZ1iGLxPiT>t%cIO24$ZDLV z(On=dT}~)p5gMM&=lq$hU`~octLGxnnjjk0uS3 z>F^f|0FDD!%QrAR=20uHOJ05jWZ?pCCHUT{&B}_~q3PR+fc1j~uKrJkFefCjovHD;F)DG>_Lb5VMj5vWNm$k+YdlM+8MBI3n*) z{c8lkR;Qaj*)9#;g~@YGLMaoXnc5=Uq=cbxahmj@C;6LF65uKl=k)0`-Eoh6xY2Ae z^V8;?ce4@#rYVY{?B`FN7D&MGx}Dl0Su;ud{R0yh1x^)Fs0yFLl$-U@h4#R}l#5FN zz5GY1*OoHBFe0|#tZXK%Y~+$$Ts*of^hVUt1cf%W00`Z+GkmtTSfo-db)xjSQH{v; z_t>>wj+D2MKc^_3+;9TF?wD!tK4`qK-H)M!z~E1teV6+)cL2yy19&1*wdYmw z-~$3%Ak{$gwYpMW-2U=SpwfE;vuk#7+JzIEL0Z?we6QLiPI28$%8vFqOcx}#)5Wh_ zBdcwp0hXC(Hbb+aLGQoa6{YW}r;$BNUuL#QwxnAp+@r%c8ezqAG+U&$7WE+(go<=H zl*V1`FmMz@%mot`VZuDiS5rO0^du>z?;ZYtB*s z*d9Nq^Ep4Xh93yL2*M0S|Bq^mMjyM@&kkk-b{}PVXI<6|I~Ptblh|-uJd2L7jw=j| zdV@njf%QSE;1eKd(e8Y4CGR;|i+N%Qjiebg0Q%CKyp=XZW`5I~XMAgz0h#&Qk|)}K z#vZaoaqcA&zSfbSrGq#An~an!Ky}Tss_1!1FH!u{L|Rq$%ZzqZ`_In;GOJ}227E6( zczRPk&^NybIkcQvfT`|@BVlxFMBm)Naf4n)DBm#H8^Vm?J%UN&G|n=4&a_WhEQa`@ zVsfj9>f^kl`Wvmkk*M9G1fdaSd*^oOCsS2>ZYJ4_%g89hmtcg$EFeyz`4J#k8gMh>h$9 z3G4a~o8!&0vWgA2$sS+Onzh|z*S?TIV;pZcHaseRdp{kL5q`7RNx&G1y6CgLm?0Yy z9E=PDQbAzYuwPuHNg@)h`n+R>j7TyKw_x;9RlKS*1?#DBH-m`WUy&<@;_hpI7zn_h z$NcUwReWoHgze}h8BRFprqKCmwvRDA35673?gEMH%mAezqVhh6D+kt{4tBZ@nZk@H zu{0x&NU+jp@A>5bgZb+#z$t-n!x&@k2rkU(%DX{^CwT5 zv==ZIL$xu{$QbWIT^^Q^1sX3^&#iaX`w-w;7pOtzq(vFsCUob1N!bkQEu6trGgtRf zqd$g-b1>^N+uGi{Z_1x$ObY4XX)}UTi=9UbmA$B80PdoC(RPZDO&b)d;UQ~u5dE)% z+21Zh=^E$9I@;Xpt0%Smk0?gi5mTRCIc6F7cDv_|Y;0^g$#n&yYT=<@4Wfl@6XA`| zV$1fVh%Kh{_kmKiQaT+JpBJQ*^vQC4oAqCSLA9PO8JSwv>^h(&?nRsf-~>3gL#Pf6 z1U)zMOz}aleSIrEE$L}k5DKdIbETWVug4npq%nC=NARM{BYa3= zGC>bzQ11Zl*o~1ObTIXh)A=HvxGb_WhBhkV?BUk zTByr~dSZs0VPICm5H2?9mhHXH1TK%=t3(nBd$)HtCsjSW&!Xws3pO+)Xl50{I!qTD zM{E{t$TLr3u2`rQi zO(H4HX^hZ%Sm;)@8-r#WmCs&c{cW|6LGI{c!E53s;CSe{LR{mIlbrRk_4SKcAMfpk zM5Hh~QAsh@{w}HS@1(>~Jr;Z4G&ZtE4J>|WVzw}%)6V*TUI6|D)?rocE+V{lQVky- z4M;89L}0McVB$T(3{l`bdEucv-_*#u8o$kKL7)DEZrqss)GymIJAG}t^jgtPbFyy! z5|s^Aj-1 zB|ThrDfU(*mWosF_1ZMkO0fHDU3H%LBsr~$lA7O6SG=9x(i*i0%b?GBh~18k4)as5 zNz~5O`XK?{kH@_R31y}~bNp}n>zb%Bh{-Kood5=)S$lFZf0O;%|KR=QrlrWzhl04W zexAE;JOssWHk+MxvEa*f<*!$>74$ zTDu0#@4!L`XsEX(Zb`nwKC)X=VyY>9Pos2MxsSC1LZ^R9v6B|o)Ff-O{G~6auq-RU zrbqv5F~h5rOP@M0Iy%bHMUboU1*WbkM;HeV&R*_zF4Lv%%JU~?F4}2Kz2`o;8kQ_D2 zupvu(wfTB5d3g3NQ%1ghIZxK?hv~IjbNK8r@=6d%ln<7`_&5@88)>BEZkkuM;7xd> zCrW_x{RdCt9XdQ8%ZLMtyc^>q54Q2UHx7w|4_&{6Xn*s4((h!LIA(d_1(TG+s?;>v3E)5i7R;SVxWQYb7K85yZGoYAOtkU}<7G^I;s zQXbm%K3iKWq5W(yXgD$16dOt@wxDN6AB{RwOGZr%%Jr8xoQY?;?3ey_tC?q8?kAI_&Uv&=&E8lPkpjr)X?OAe~1Hg3o#l`eORJZ_Ma|mweiY95ALAxd6 z&T*W?#>Rp{G9x479|h%;{Ibmthcx6UI2>3)eRO{B&R^S_pfvnxOhVF4>O~KpFt6!+ z|DFSZU19Dt*68-_K{Q9gK!ZBW&k?piJvbe5l<2h0bv8%bghcDiozBbkg}!(LXXq&N z>X+@e)lib})xBLNbXw(ft*%T18ShIC8}MxpEIu^~yy+66ijQsNl4E{HLy9&2YL%AJ z9QYDQ>Zm!i+nSnLf9^T=FVS1ZX2s;wvgih*MTb$fo4%`jlEA^f{K!*7s8%dEF~dJh zl`JKSXzlknCPx3|#*AfqI-~miKRwnCzd&Ssw{>)UTx~H(-f~#PhPg+J$HFdtBigxY zs-QW_>}L^^16J*@&?P-C(2!Sy5Z?hy(A3;Sy zk0czlbautDq>z`)i>jLPgM+X%=CS|P=`#FWhL587UDp%ni>i z=nd7g#%L^0CG%7qvwkK|PR`A338c6XJs*V}hQk9DIl}h$&vWSo>$0x4P$Q5|EK6EV z4GpRN{QTbj_Ppa~7Ba~aJwvd9BS@|yh?6;(-R{xV<$)Ql zNTw0rW=fMXYXdY5hJ~SR{x(?l%{G371HF1v)prfGNMf?nB!jQtx7N#?#9U>tT4)0N4I{KZBU$Q4HaX=`w;f7vgCqaffde8DBsl$#j;j9p_3JNp z)JU9k+frUbY3b~Iu}W^e8K$NGhOWbiX>~`t&dqY^%P?bh0fGMgm4VWaA0-^D#eRRm zgyJ;JN^~PV^U?p;>QrDWuGLY%q&*Z>PpT(*iH-^COV25-+z_w3roI8o% zvPmj++wO->rYF(J;SUZD#>B+bw~?>5zaLnEPPW0R(<^@g0RdR8*v-_&!Yk6ygsM9a z=P7mQ!!k835PZX(rNqU~4n$p#yYO8BA_2rOjYuax8!Fe7(6F?`IIsMn-{u|60U7Ki0+1@tu@n)fj0q7_SmE zi3T^iXs11En3knDUVeTRTE@soSZW*fKxKezr4LyeoneG)ZcJoae0!q#Y1A8=m57$} zhe9uL5}2>v+Y>fLd_GOs9}gBu9>SfLu^yFyT-Pt^q&~XF@}}fj;v|!*e<|cIm;63z zvp9DVX;s?%WEQ?T8`d%oMF}zz#<*Idc|33`L=|I_I5t*9sP*al2Q00$OJpDCwb+6H zmI3GY*pokh8XLNkeKJ&b;gl=WFsaWAIyJoEmd+FHh-Moj#4-IRP~@1Fm#p-dX`uY+ zG(r)6c}45BKt=O0Iov*;mHgelMmY-mORp_;(cjhV3Iw71=#55FTu2U)4fZpVj}!OlKB+}UE*g)$ zH4hQvA1Oq3W{=2_ALZncp4jPu#v=5(0=G)p z`g|wX% zum`7UVN+AnS=Vtz&G*i%UCo~a0_2&Sn=D-Su z6xnjO^fG*wZgT?bfxVavDxWGWUAyk>PZ~s@|A|Hw5ZLuwd3uT~Jhe5LEK5g9NeNz{ zB&8An^I_rQ*7#kxgZ2v#Y@(+x9e2lywBHWw{F%RE6&~+=h+~StmerPS3DwQ5)x`^*eerXz~Q6XSnxe=4$Kx+d8wmCh|o*T=o@ z^(znv?tPS7Xs$dNPL)Yl7{CE@>`$|)xABgR?GyHs{g#$OsLe{sIi z7LHfqmn%kz73CUHXBqRp-22je&YUP3n4l~TEJ+nX@=ANmf;AO+`+?lCNgHSWi{+&e zCm}(BS)H7koyIvmizB>)%O9s@KLKG+gXfLk)WU`)Ytqxj81Ni_4DBg2XOsV@2xg8+U?`+KlitHRocA5(h@Tr_HTqYK@=XqkPDN_o8UZ|395W*t?)! zocG%vdsnrbDMm#T!&yvVq$jt66c!d% zrCA?7ueRHSs?6xj%)q~YjPPWUz~S%Adi2+8h3I-eFPvS7YS){;wl4L<jF>uk2YyVgRSu=5VePgyZcNfl`N?RSJRejoQg{Ek|Xi_Xg5%#B8OkgqOL|LKt_~(DRtX|;^rsXbUCeegxtgS4g`eq8tjlaOnDt$cu z&{s)>?d{@fI>l5eg>_o&Q^qNS< z3)Y})s$5?o?pYtUUw;Qlt7A@9Qb%j;3l85^JkmTrR>Uz9o%VZaXt*QrF%uati4JNZ zWn1^}#SRO<$QtgcFG~VBDx*dR&Bte2fxn&>S?UpHS|8nADKQ&+^ZbH40ePZ}vAnw^ z(QmuE6Mp@Y#l=Y}d5d!A`vQS-LbRk_-PiHSUZz1@T)vZ=s=g!Q3h z6T_zX4|9HIf-ds_qKvtNL?3kx@npc{O9^`GOHpoh*;kZL0??g{ehl#!(^Ie3+Bfy& zE%jOT+LS}o*x+rEMZd$dgQNJ{8_a_Qd*M`g)-c@-#;(lIB-Pd&GhYY9O zQD{3(a$ZZds-%Y+W1z;=FSg6XTuYvN@2v8ApKbNhaU4NLL6NEUVw=4|_r`T#eK}fq zVVipO!YuRZF9xz)(k`rXPN_YSXeqjDS=Iwi1jiuG^6LfL;<#G|7n$9F$yu$vXGKfK ze6|;T#kc)?#nx(CS~8ZF4B-^c7*){gLH7rZo8qEsNyu4#kYzx8x)OOf<=L`0&93LJ z6?q~$HQldSg{$vKXN`@{-2sn*y_rY>jchVrSe_j6d1KgR?N zzraV=EY`BB#hzx7u8N?R4e2;MI;^}t$bkr)bAOp8#o^ZqV}@kejIf>7oA=_Tv}?6I zSeivvGanj<`qd);#`{nBU1d&AV0OEST(G<bMf`b^?? z)g8AEG`f=Ef8!oc#ZHK5Xlj${rc!Jg~9{RBG>FuNaO!K{e75-8Z zwogA2UcN4d<}LRv8_^ZGR#{8oFcErlIt>0m)t63agmW~raY z=9P_laD3YyNew*CE&H(X9}PFppRFyaii#df9n@-_A3ob+H@_xHsi>s6u)eXi#!z8E zU8D4~=syE&rq9nAi-wf!I=yA} zKOK-W%9|o9pwXtR%qrur5`VH9(_6i`6BT!IN?gg872P+H$|{D2%AFfUE5+}vepiQ{ zYeZq>YKCRwVI@6Z#`^^sjeW%D{t&Jb^knM{_P(p-f9ZXzNe7L5J>zCshz76PrCrV_ zes3ZA;y*NooK;Uk&jU#Wr}{UJO72~8-4VaRu#i9vv`O%@mj8zka4pu|s!&O%aP#O< zs97C-cTuxdRmHJ?=Bvpvd|RXrAE>pRUFOlC(|)M00N35{Oh0smh6QA+Vd3aP>)x_g z+2RXFCTG5fIsO7K0`~4>=~#rDCr-LGx^FHl&%CzuJ#+3B-hc3>inN+VorQS%t8MCx zZugmRLwHQG7qZolmC7fW@hk-~F}c{-G&;mvB3DdQ@#s18h6cQN;g zCS?*?(ua;olj!nz^=0$M7{Q?SZM<{BPTl<2b>?>(>)T8!KT(b23hr}%vp6trZy&DET6Hs2rZz7V ze5~=hfN8BFXF44qoyNx6B@GSv_X-$gsc^AHoAdEL@%><6iGFNe7mJR;qJJ-%_(7F@ zwQe1!bOWwRm~$ng!Zb-Hy7*gtLD)gW^t*m`jmCptuClwE{hNW>)0YX&`|`fRIX-bywa>fS zxO84CviXER=e6@_q2Dk+x&N^B2rtc8s5a>DyQ=5+obm!JB>z#j>A~Z!j%oZM$WeV) zzf%tWIzM6=9um0nZ=HE+LE}Wu1}@^^8Df52$6jo_C&{NR2b6D*HWJmC7~ef2MU`u3 zeplJlXm$2qT>_OiM!WGR-ru={wbsnUXA7OE$1m7aGt-QE+$L$lJ7kj(Mez?7qNpv$ z(u3`1NE0#K5m6^_2#AY$d(kb6|0+PFmc`VXT)rye?ZDpos7#aT`c)Na=t*nNc@MQr zR@(OzI;@J+i1LFq5(81CqDQ23IeiJkD;Rf!DU$!c_P)ZY>hA0JfFMW+B9hWbNhsa$ zAW~A264D{vouY^sbV!$ibjbmvMOs3TZt3o>yUz1_-}lbk`xo4q>&$V^5Qp#Hd+n8< z^;un|#|!Z*=gl+-Id+3z0|7@Ko|#Y0beM+!NLw^t|B;oo@IGa@E8p;(ewNhm^Tu!4 z-;d~O6YzqceUODYCNat`8wCD=)5sgjinL44&l2C*>3q$~GNYhq=hTxK=p$6i2%MT! zI_F7qdS#-V-C=dz03?aSFzo2v{jUKtXzV%`>!vi1wl-yo6rFJ~(7(F5ea%S@a$3!u zXJ(4Pd-c*a@w7)-I4|aD0#8&(e?QMoy}!VS^U0Aa0fQFLBt(Hg3-B?5y)) zNtD+_bh`Kb*PnQ-fLIFp0LZDSQ_I^E{V8LTgsc-=l>{b#!f?&1qbVO!vjAL-AOVzr zDM)zQc7q#oSDTl zZ8@uYdTpWdM3j|Qs(POVhFOf%Q%#>uhX<(jwUL+2@`&IAzA15K0q1aFGDyZF%F%NsOM0ztkUs0Xdjy3NI`}C_N|IM*;6#kZk(5oZ)0yy=wmP?C1t*~7jP&+IF3r~gsS5Pt8b-t zExd4W2v{p~M1BNF-;U^&=&^4^7u~(+XQgCs%mI!Vbya-z!}d)lRR(-!j`Jd=2ZV{|mYZ(%hk|pum{VljUCWu=Wo>Il;OKHtt`&9Pfo_sq}$$3EmIqi5YBSmD# zhGKDdA>C^8($ThEoyl6WOtYunDd@5CqN8w}d8y4XCj|w?;>5FkN!l+Sf91C_U)Zd( z{~4Gpf6-Llfq+B`pwVq?*7PpXEWfLAD-Cqp+aw}Y=xt8z#w#6`mL#r(K=d;*=;$Nc zV~$Fp+g2suRK2qLOz~MHq)uiXD4HO^@)W69?oij2dGxeYk(lz$=TSTFMfa?WAe~dsri@Lr>bLtqXrX@F`%7h{dJv<0 zl*mGt69#Jn-s(|9cx5rc4YJSc>5(iV(AADc>|n{#l)2##{R$yDfNYNP4-%8+cRPDFqJ6JR^+I1wW#ggiR;~NAyhIo zy=_rNoFolLb$|E-P$t>d_H$|JZ~ULE@3`+dEh}cFoZsqOxxKJVwIu%>LueCF`WA0sf4;E8W@@l^gkXPAUO& zWU1zYRmlmA#i3Ka*$E<)ud8et!!CtTI<*N1$)+^6cUm`b0Le}_K zzSN@BzYg8Ey-PW8JCLkQ(J^H@LDMHUr+l_Bb>4gz-iO55bmn9A#ATtTbXVbxFqXor zW!W1I+vrg)6C?a1{4!5)gXJ)Eo~p{qywIzOYph<1fD|>O5MwWx5 zR3kPcD=bs_>Gl^jvh2`XAL(W3mjglX=h%AINgMjb5)j~}>yU&toIfFAPQUW${BJBk z%FmG-%!mc{OgkNxJO%&X^a`b9CmD3D?i-mo)d|gII*^A{XPYgxW0#lGCT1)q)r;$( z_7`NqS!sEnP{O_*dIL&_Np!BKj9zt9lT0?W*#I&A`?mm?|%;u%UWt%D!oku zz8lVXy^{4q*9;+H;Z>Z$lm6eooBqL~`dPh{+67da@|+FlyBA|Uz^oZmv^D{pT(%Qc zk@*mCQrcIcv1~QyIn>2UoX-+KmY_#;PmwMVBS?&PzxQ%SYmG)};DwbHuvAxhV~(yM z?+=H;hjW^%mzN`^F{0G24Qcxz)1wo3GfWN1@@mNE_KXEcB$4Q*;E#sWJ2(rC^6#7x z?WB10C%!Sh;-6h9=7LFCQanwnr6<=~%3s{7-6x96BvfX~6~HrV1Xiq)>(?XpynF-i zzK=XQ8@<#xSS-^f{VLw;D0v z>K`FXeZqCmZQM?Mwa{FLNn@pQ4&yZrslMb)D`n)|&Tb;&$p8?K`1&^_UGTQG!O{Sy zTkA3T_*kF;t&2XQ1CidvovZrxakyA3vNwRb1^Mt^XkVK|n13_AD+$g>*#~@2Tufb$ z^+ueKNaEl{N(VDuVtT(;a`mu#1H4dq2ej?zsQmWjS(gn4UYFFD-8Xmeg0i3H5 z^g?VHKE35ZrE*3wpKznAYS8`s4oMqg;*5;^J@!$uX}~(IR@60Dw>&>Xf5; zNoc7PH|}6kPxhv1xZ%=`gv;R9mw1Ek)8je~{$g!l)e(?JU4$<=Z|$93z<~7V-X$1| z#aBv$8KnDYIju77@;5JjVIjW!Q@Lv=8aNy<^O)>JG0ians6ad5DzDP`_%oC*jF6KUt%tH_kKXBoT-hC&Lh!%!lnwF9R;FP+c;wL zrH_9AAK6U6bDFD?fi5&|!AN1=wiVDT$JTKOa?~YA`xbTfsJAT>+-%H3 zeB9hW79pxPPk@rg`L%1j2&Ej8Ar*M^8VC%Y|LD4i_U_ zTJCe&@74EyTz3ciqTJ*4<*oJm^azc)5%=oQiQ{8IDk`eui%T(adqW1ze1 z@k~t@u11$0<>kKuceApg#omqs%Zmy3n-tny?Ow#yvFv&riNf?blbS5n>K*MFatict zEMm->LVUNjo9D_5OY&D|^Q^cKK7Yv#{iUuld(|qiZ96Vwy`lz`$UsBW((eZ3i)xyG zpqL4j4uvnv-}jVl)53jeCDR*d@Lqk(i>hGvjSCj#{W%1c?Tn0S`XFm2VD32cL zBh1UA9~^!pj2|f{v>ekr;MyxDx0DhBA;_D5ay5QDz=LUnFYN6tPIea%(nz~ktuk_q zs%!~j_wTkElwS|e`zv%}_C4$Og@n;j5Q9I^@hZKg8Q@)6TVo)3uW9#r$(JQo0q^F` zegH7s=9>i!JmA(rodXz9cPdM9Z zx4PHQerk;bdx{nNV()NRVyuO90KAgr+qXZz{G1tq8?5RqG>=6s8P-zbMkPhZg!ihp z?Nv$#t>1o@=WuaIDm6~P)zR|ogW0P~2j985n7~`|KWwf3nXJCu{2+qyMq2OErL7K0 zuvF8<6+7tQL_Wu}jb|4ZF=J!2WS{-#WY803YRrw>xlc1fxW&c8^738>T-fa9DP-q{ z9`_Mq8fiRb(IuIBcRBlQfQ*uI4%*{#dgtg=Ms?;Fx~D|hA_~v%-lh0)mU^VPV*c5R z0wg7^H>6nY(i{&zGUu+`J9Nuyq^vj`+RuY~w`9c^h+_^9uW<)TEvMBn?DtOGI?Zvv zg_cgyn!6NZo&Y$Wt%HviMa*>!gvl}?gNe?wiZ7Q}SI2U0y^ZF%HR#Pyv9bFHzpLyS z_;CeVzgN($4O>PE!iA3XYrDI@J@?_T77ZKiL%ey}_CRh`7;51zEhPA~E5dKs2aXyp zNmJi*Iv+(IZa4p=4w!J;Qf2!mK;kq+Lcgdojj29a*j|JM=}8z zl>WB7C%+81B4CYfVvv`<+{Rkns=8)N*@cW`e;;KB>u`qK>G9%D!NJoxTzws9p{bD$S|Bu=2pz&1Z;+*R0>eIPbN7rOOR8&+9{;X2Z z`I!NXk!)L*2o%Fi<%Bctuwj50eB|Dk77HkO`6 z9y-iATn$aiu4XH3?+=j0q=--G1f-C)+c{8wYdIGI!Gq{MdG=&Ne~u| zZ^X-&XvB}{d`FCr6{C%4C7&=o8ptmux`~0^$z3SsD31} zUZ~D>P3wFqc`tkFKJkNI;rIQd4bNid%$UF_MZp&-rLO*Pf(p!ngw%B`tQ=n9>6I&fm2U~ELwDLJlCq5+iSqn zh>%Iw9~sQ=?CjFyvVDP=>IJXxV-2sfvo6!QW@F$N5_({&!&rY|r|@0evUKs!tFE$N zj`U44mg2AcE>9f9nIavjq+4ahrIzd}={mUYr4dv=lg?NC$%0Vgs(|g^K=~lnO35q!<%MGv{1KM`Ldk-4gv=-rG9l1~{NQ;REC2 zPk^}YITCL=TIKIkV)U|KRaX7xWYU3cfex3m1nZFZ!Nzz6Fv8WQZFL*=wPU#Bo7(t3FW1?5~^_JRc3gPqd?K}G>)Xl){<+`T(b zVQtlXecopiO{w{OKc|$Gi&MhWkq`!4(M30%F3XmNi8@zqcnuXcpN;m$o#E(^%sY?R z*%7CCTPv?U#B1KL;!(G-bna{CRr;WI+t*QOIWvs$xWpi`!bF}i`|7x5DJg(!^qAK)0DPQ)!(A`vQeMQaP^kcF2H<@qDt^I z(ul9uVLI0)rkUX-3N<`7CcJRC61QZX{0wOa;0U=dYJ39`8~`s97FO`_@lpDNE%NsP z*zI1V^*GDbE|+=6XO{Fl;($w+^=5*!0~Nq3@nG(e%jaLtNzhMw(6~Q%Yd+pS%Dy;i zss4R2(QhowG;31*mH85f6@S->zg~ZiSgTi$SZJx&fy9Wc6Tcq~fZu54)do2?_wG@L zL$}xq8=L%4Tvy=~rbsyrH}tjuAmQ9awSG_d9ZkBzKvnZ3zc2-T7e{#TuJ6+=VH{3v(OyCU>(BsqYU*R3KjROqzlzTdRFJNsv zMX7aDfEdb^>qzA2RaMZOG_*A2vFa61Z>2?93DaH>T6q3)O@4?B z<3o<=G>C~^x7hpwL@Q)8G&%YCHch==EV!ot+6BI}eEyq<;QP$Eq@CRzHt^xdNpaWJ zM8fQhL;Q?@#jrjJsjFY483C^^(J}(2KE6e$;+ILFvq0}zhuK@r)+fR`TwhZcs$s%` zpx`qeQ#$71n#ynA*gZ9-kan$YZ2)-TV`zo4R&#SRz?rmEJ^-ziW(PD@M-kDLa zo9)P+8@(oOn?-?@Zuf}y?NAILlj!MDHacQT!D8bPybVlZY_S08RDV72vJK+K*Sy7!pYQ-FTIcO7&Z%H%;V#sVcUBILIadH)>BBFxKmz}ubZ zcsfWV5oi98mls2log_b0U_m$ELjbQiC0P}>dk=xyTZ?i{DtsZD|Ae%frN-LV02qGv zuC%76uC6YLw~*w?U1}<-FZucTOl3Kcx^r1lhHpSyI&R%vKm)IBryNzEn4!bm_g+Xq zNO328uB?oI{GNoaiyM5z0bXE;n{e*pa3OjGsC5oKkaRejbABz83(!bs#tP*@k5vp5@K3Fr!eYqMq&xen!)hFVopL`(# znE;%wsiZoGPB=E>OOB>&J6s()oc|?lNG~moq;#l_l%{{mLlcJ)RLLWC z#eNqq07z6htOK>0ul#^1;%^IGhkQE;hc3ptpLgKi-u~9W*03AZ^Wh!uI%uDUjx!G* z1J81+vC9#{qsJeFNKDguwRuPn6`7j<<4*D!<9ZxM=H>D66T7~g@ye+@XjqRHeCJ!>8icHK2^=aS)dEJ+6%ZOpt(A3Te|0u7=rVI z%n?@O>R`Ut%9r?wGk)8VMt~Vt1L5;Xg$=1?njex-0{x#mpz>$oHIzX zP5#E?4$9Tro}!we$$D`p2%$l-N6+u$>am+S)0T;g$mFUOpAdiwMW)Yh2w8-rD!nPQW>hn#5(;@B>{2@IHS_OCumd2YD6Dp^4;%3J1r^!jQ$dFb>4d=y0u}>oxn=&s1pYb zYyVD65{0q^3=k0mHv;7ZX%$07qvie5MJ;+$%^grrz5oz`wV@Oj6ar9sz(IxNGDWYX zSMYBma4!|UEh$<9>k8xyFJ8R(w1;WpT<2G@kpz^|P??6*g{Wy z@?&1!I@r?63&-@9k^SM8>bFA*kK|Yk3BeYx0DCs;&Naf1G9Z4RvRC+n3ova2W7f8# zI~bu}#8(=Qkdcvr+os9!uxbN2?g>(eVt~%;kKiH3Q93cQ(1|;1`U(Zj=9?nFHYyxp z=rD9)6l0??60T!OT`4|ZrUBgmimaLrGJfzHzkLhgoiwZeR%swPDmH;Dtncd=Cbz7t zEaLYqI%|_T<0S;d%5gATvG30xUh`=c5`{DRuNLK*TPw&8K?XKWO>f461AtK#^Ddt(+W5}HWK%DR4EsRc@z~m1LQb#q8j;G#&4959Q zkm5LLBJgj73(pb9WoQsAk&ta9I7(_X^u7N?q=So``S^j-zfmih5qh~Lh(GD&0-PwTy-j73k0{cEMl@%1;W z#GfXmiGp$9P(#+rQBa?UZ!z1d3=|+B^{tsGmw3qvEt&^3*jj*Wt_=vfdm66J8nib& z9kY#WC%;4UbMq(#(kgqUN{uPP&#%QpVj2jU z2(T$OIhI7KXHgqTD?2`>WzWFtf+Qv_q2P?xKFUE{Aremu2g1RNvEIQ}q@DZbguJOK z!>prcM*OwAWdB%<^T!+d3qhHGPN3mLsr$Sb{pE}j${Dfbhm9r&*c99ej4dsasWg_6 zk1IpEIlqnhT2z2Z+0`}X89O}4FW3u6Ic;og@IBN-H!?B#QL#6a*!MLyG669+H#hHG zjak{NOrikw9sB0yYTe(Kw+(r8e&_H+8^O3wxv1B9c^|^Udb$z~J|0~g=L~<1AJWXn zfSt_82kYdc^ca5bQR=>-yIH%}lXzkXfIE$UAI|}-ASl`OvrD2=+3kOgG?}FWhQ=^7 z$qFlEsD4ejakD28Ks??0f0&DNQTD+)DCNC(=`(%DjE8lf3YUTL#qQjZd$J_cY>&q*1jKfMP{+!xWV+* z@kIbBqc~Bk|Gv8~I3MvS5BdD1q@xkxX%7DoBj|k_qSGbV&jcC}-YGWe8_)1f$UuS7 z5O(b~HUf6jv69IjH+bL~jB6a2n9#p%14I!Jdej;?bpM$V(LoDuQ|I}3Zd)^<-^Z(j z5#0R+X58dp zxer+>s|3K80@4|32*4k}o<8rsdmCI+$Q|lDgXcR-{Lj5Y*(ouU<9%}6Cebr9Lu*h> zT0Hzd+sfy{D|@S_H!=Gm^m0Ik3mAwsH9dT4_sTO_97ZXj<;MsbGl1hTv6NBR4{a4} zYxX}W<~l`k1$Snx$N9l|m5b8g3Bv2tTK5%ipiL-F0RNqlC^WG{7afWefM~h-taY@y zVExI~E45tc27rL{W_TOVQfo4g*p)}a*>mU(gR2N-#4w>nGH5nE zQaRJc5OZYztkQn66Us6$6$+(!Z28aPa7$JMg9<7tVvQbD(b{|pGbYh(k)X~!ru_s+4Ls?}*iFe= zi8FYk+sDTJcy5$*{IF3mQG}MB4>oY@Aaha~56tV%7#bJpp;Xti zts0j<7}!B^i5Q1t-#JiVV;0m8kje!cgu#G&=A`Z+X{!21;%Szio>dm7!jjeV>7Ztx zvA-E!d%nC-g{rBCO6QG5RDeHeQ(PBU?0=A-?D*rx-q_IT!J5!!)g0nkoi`s>-F|<} zS-{oVG=n@*8%@A@ZK^D-XC-uO^hrRGs~%nxs3?{2bSWhi8&TH`b#EtC}|%b5m+lo>agw9{`ew&$s&DY z@^lK`40vIHFUXcD*8SJuWvI3nCKX`JT`_Hd;-ou-(%A4d^jS(; zER7aKrafD^8rH=>Y<7>t;2`Cq=9Lw`78iqD|I!QWwop%FZ`9D7%zEosFjDb{64CjW zIYoIm=9o2B0VT2!rMT!Yp}bEmZUm z>%`r+-Kt)q2JfwUCI}Y*AF`U75ameoE7B4w{(};_yigE7D8667%Y%s?!RV5r0vXUgnD0A|zGQstdX6TGa zDK8mQzwQ`-Ig$!|EJeq;v8THoD1W)KugeLXh)>z_04I>*YJsfB_3PJ{mzTe;u6bO+ zaQbP#Bd4{(N-d6jcSvn)167yHm{m@x)0_;rCYw_pkn5zgP` zEfn!zdV`(U1m}~as_6*Qudz(1{6>kG-y}4FppqF7G}(ls+d2&GbsX-Ql*;95B)WZc z=~&c>dkl;xb33$M&YBpX_9`0Arpnl%>jrw{OuH4`UY7ZJ`1;mnQ#>3)ZdhpKR~Ngl zk2FC-zL&Iq8ZVvB;(RA&s-huf)Vj4h>q|-5vpDYmE`szV9wx}KLV6SR}v!-1HEbdT}DR6Md~M2d^99;WQElL6J+s#Sifdcn=LjQ zyL5Df1`V0Bm2CwRT$&&r{66lQP^l2O5ekHdU;!Wi&FcknRBb?9s%+N)HC~!bGBEGL z-*T5k{jI~-@VERRLWi#zr55N_hM9(oxevAJ#4X@tnv_-z%X7KhGUhSA1ls{^rm$f= z;8ol~%g$S^Wo`oF2rY!rNx_3ta?znL27M3uPAzv(p)1e{(~K-Nkirm|my#v_CIiA} zHlQM-REIziNXkq9qk)aM0V@>w0GW3K&sj`VVwJVBK@;7UN#r}DJV*|7JwBKlgN9(2 z?B2Bl6CILpu|qOaL*Iu$+;`=e?olX73r7}20q*)sBlmxg3L66}8ITr1 zjZBuC7DPHcqkYUwOzmde=jTfjvT+N+mjamZVDS6;V8;GXz-2;xlm}l=%=`Z%-j;xz zWYyK>8Jghi>)Xfu@%7(SpWOL(S+rkqz=;;QW%mR1S=&X6kuXPL*bS8IP0pHi?xOlr z>!bSTHSSJZbw|!;8c$@6@ha&>xcz&Aw1gVC;Pj?oWA%x=4x#b?)Wun28-6qi8aWvXB*`v4La68f z0nO#&umtBRuO%mlQGqdgx^n?O;h%0uB!MVxZlNsJbyfRLAXa;8H?Hr}&3D&(IfLDx z)-xlHjSxGVZa*A$Y8_lKSnN%}|Jw`|7^50To!jYZCI$YJV(A201WHgmC>M$5d+sIqLUKq4H~+=q7^6)V56wRPPx1gBqM%9G)$ zq3$d^H}7&z@KWj@+A+v6Hh8v|{_m$i;XL)7YNjvGx zp+4~9PabQ!P42hzSBk$BLgZLitiu?G`wM0X2+>Y_uU;e<&j;UkZW0xxNgA(PO1|&l z7CmgR)Vw4Y^-$*QXlwXzV|=i`Kl9fw#Yvy7x+uo@t}j(pRpPzZ5UHpu3R%9gDGyiI z_Ti(eX=*P0s&w!+F)=Z%K>CMGq!IQJ0f?E^$bjq2IJA^+-@WUPVO7`A)%6~&2J8AX zGBR?A;o2i9DcAY-TN~32hFrDVL5!?SOfuj;>?$C}s+_WZG&ffmHKA*2XuJT`)Y;Wl z-qZH;Cky;cl!m^3!Pl=W!NI|~wYB=Wxw(lvmda_CRWUh|O!B~nZ*6NEla`itesQ4* zKWW+)X0`LTWp`)i_os)Z-&|MJ@X3D!2{ndgW@dhaK&+*uB^Qa*0yyQ6km-lT-n8Q7 z}(p-KYx<6cNkq%EP*3Z*D- zjF!vF%gb}Oel00cy?5^(&W#&SWo1L)oO6bTv^J*d^rB)?QVQGK+igVo9(YCsc!!@~ zYrMVNJ0p$eN);L&uI=mVTP(h}^~Fy~Nr^(-x5`bFmR1tpe_zQ?@)irPk>q!tZ@-VD z1s|R$=7W5LPst?jEO_@F{HnC{Yw(V8_-uw)n3;2ic`lN2B;8>&L5h%z3>=uS%i;%a zZf;($U9-W#L8~9HZwxIRu8+>eBIa2m{J_Fmzj&bv4N|&#dIw-p?t{*ixY&=*R!J*5 zKR*}mrSE>Jfd8!|<{hU7J z`n8@<0q-L0x*P%aEhag+;1+`n3m2D4mdwZRt3sT9>!x;gg;TzJN`-or%KeR7Nqrsa zEN9!z1e#Bu(#a?CT1COLm_b{n;)e>49~Vc{(;F7)h`^>-=Z`L(Le8%lm1H5xa(fnh z!o^R&s;Q~*x-2S^n|^bgl{z^)vze;(>g?!v3L9!)cc4{wFr;U2@;#-gbJo$7vcUiH z#PTDxm@XO`+ED4YZ@ddjOI@>$%Qai|1659Q-WL_cOc9t^Soc|3x8dX@H?|NQe3)N_hK@1NY9 zHu0PL^*2(yam*Vo4wI1flX<(l&L_vmFBX3#ByyX-gQ5hV{e)m00Gthyt|1&R=&#OS zozGF9U^N=aqM6+Wau~Qb$f=y{Y~AA9L_{$W5q%4%Gc!hhKmlTq*1X`%%FHaw8UMuJ z-(Ralx7ztjwsHzvNOK0XPE118<+=D#E2YB=0DSE3?WsFDZfj1WxwNU%o*j-m9IWJ| zSvSAI2W{BT)o`8(QQ1c-5iOsiO-)zVZ+UrnyiR|A8U$?Q*FEwC<}!#fo+Lgn4!R@A zq@4VML%>})#Sce9?I_$2{9~$ZzuUqG#GUpH7w({0Y?k{nqCP`YG#p5NQIRsUacdD2k=w9#L4(7r+FE1}|nCC)FO6oD_ zfz35IU`li5GW|MrpSTllD6h#+Y!EMi_M)~2#+DA{s^`Q+MrK$IWaobWuKS*Zql|xO z|4r&rzpt@1(@|CJb9mC?gJTv#K%-@BoZ$w5qe2MB8A6(yt|ub;dfO$$ z7_MBy&*#Wbu(s*188w2Jl!S>(^6B$u#^|Uh6PWC7_2Hof=*UIz2p)i9vN%89VGUe}8|03-D#~0t2i7Xb=!L9wvyv zpalNOyelpN+#)j54}dMJgO^{L#c}12A5!X1pBmQ%KnVRk*}=-{A#i*%Nk~is){N5h z^5m=*w1`_b5W$*3AX6(m0J^vEh(O}JU#maV0ybz~B%#6|f&kj;+A<(Y14^T;k zH2>b1j0%^y9IAu{mDnXDkT@PEv4zjG1y`}rY!n)+-0U zY-$6hDssPml}i$E&;t3@=Zt4kNiEnIuk`U1 zeTZljZ_M5_%!$0mC%Dt72Zd!)4dN1bI2RB*lD*`KkoyvZ7mCsAeP<*^`d zP*buRE_zNO?D`d~L9MX5%99o-YJy#2UrV|KF@PtJ^ncDarB1u{&1=s>DMfftH*RAC zp6bSp8^58hQFH$F6(bdlK%=9h`wo4(_vGi=!nNJpD%x^j+E*V{PF%An*TZ$43M6tB%2Fj^Ab(bEVN_A`vG}|`%>!=|Q`&0lGMEsED)0HU zdb+Ebh7Wfn5qV|9DVcn$Iq{B6KegOX49 zhZo#QB4BWZ-Pb<>iq#DgOJCvkL+kS?m?$4#3Ox9H_jU=tN0&_j3E>Z0_1EYSh~Y}u z;rk*YdgkWlFw8s&5`}HIr`^Zx zhEKy0a47fZY4jaf0^u$Evkemq{PzvKL&yI2UE|{a{^tMx(*Jv#vl-AF6GAiHYuJZ+ OcKOH3(nV56LH`SYLb{9q literal 159433 zcmd?Q^;?zO7d=V{DBT^>ph$NrAq@f|-Q6A1h;&IesB|}*?oR0jX_4-RySC@^z0dsv z?)~X*ALJaLz2E(=x#k*U%rWO1`awYw4Vf4j1_lOAT1s3Q2IiR`3=C|=b42hjIc4JhqgmC|v)i4?otG2}*{2tXS7O@ z|Gue%`?;?9*8ZLAd=iauiZNYvX3E)JfPfQD)wf7iqLr~eYK*O6KC{u3f#J_PXAhZ2 zvlUE3qT>I1RV5ziQ}~7a??tNq3MTY_|82~N=l6fVD;@bQ)&E`^3J5Q;{(HqR<->jZ z-`k}URbZw5_kNn8LKvF=y*+m8BMkQc-ap{@|K8AGCyjU`Bkz3 z;gUli87@9P94313e4PymOY<>YdCMhnw8$fGADNrB$AdUkhs&%^AAOcrCjxRleZ2t7yQUpXEUcKv z$>lvaw^`ZJyGT2)0HbK3x~{&aL7dX7N|8QtPbLh(V;G~}h}{{73+JbR7!!@*Orf;B z^0v&Sr6t#Bk@H_-%~va)WTr!7RDG`3`(E`(a`?r`$t1d#4 z{PWk{$^87;w)L>r?(3oS?!Wz!+)sK4Quv%qv&Jm$uTLTvLmLXS+O@o20v7`k4uTW5x4mt6?W|ucrOmAcuHykcF7;Ai$Y zI{EbuB#KRFo?LngQUxO~!_me5K<)Y+!7=)K*=_aU7{4SCg}@Q4^qiqRJ|V$juN0!J zr#BYP(weOMI4((HK!^x3%?2`JlB5$fxx2X$EpoX0@2vOxx!>;QrwDuV+d>3dO6uwo zoksbBcd~plNo?zXbnTm`(uL!{S>LZ7Qy_4GF&$3!pWQQgyuT6BEPuVVwI!F%8^h}Qs*gYm6Aur;P?h^(!_GqK(S?UbgCi}t%+vfC&Y!oIsQy#x@NJJ5 z<UVy9VH0JuSZA~3u~#aW#vMr= zEf@>dn@M8VT)8|a*`fc<^ROW}PEk08Q6=v<OJtat{`2 zmmG)Qc3L{yd%i1|${7j{ zP-1a;YbxIBPc`#1obu#e$L|yb4mhLu|1y*{pUTXX=?q~>l6HW#Oqeb=IPEx&OAxSq zJ~dVlJQ0UN;pP7Pq-n;*-mKHI%d7)PsM8)6pBN$z(;AEVz2Pvt*Xk`EE=^u@zka>- z@ex)OzA+ANF@xc@o_otlyaf`|u6oH9!r^o8{;5=RI{Tv0uzJ3JC(~1k27AeAOz2Lh z4YHW-bGu6uC!Oj0cw<}2;>hp;R*EKo%xRbn7Z2~`cCQ?w(FzWoqoZTvbdReZ*j6m+ z_Z6-O3+GkkJ{QHj845m^)mbMA-`*0!nbbpo(?)HAK?eVowTUMHFW1$Y@kHBGlfZpS25~=5Ykfh^E zgo4kc-y1;$1w>hvmUz|TPYw?kvy;DmeOq}<)UsUzxVO=bqqx~8^2nxJo&>U@QAaTi z3Q*7+SIT}5@ZHURfHtYZeoYh_65Df2YwOJgt8$aEOd)8#ZH)>X(SR@t95p+&wOFlq z?7c}>pr_ApR!-a6=#AXiO42)YJU&QGB}VP~UQ$xBY?PauyT8)XB)NAmmLnZ^-OJP3 zF_A0VBt+<@2sv>Vgk~sY#iLm3j(`u>9Q9=kswp92ex`?IQzi`*9Hvwh4`yD5kufqb z=-*u)?D|HN2_*izPa4Y*NCII789BS{?&Ror z-9_=(etWT(!s|d)-h7Ho;eCz;c!fppZebQCna_z1WDsMP&#i?=lkekM)^Hk6bk^f} zzP8s%&+gV_p8N)g8Wf#3249y$iGv>k{Dq$+ZfIK>X*~k`>_JLsv9QzHB zfd*@xfr7{F@aYb{M4LN1S9jbSebHuzOAXx{C%QYPG1foH-%=6T0_2*Sojn701M6w0 z_*#7G{xp;L!+$-JWoQvtqr6Fcg;NZxa*BR58!bcE)zTpfKx$6?*eWmw^+; zx060;I^P|N0~E-CExaeVNW)g57VqQrM#E9--Gbm{shxMY+sfyB`4g}=Ib&RSn$X~R z2~z;&CRJ_*S!~!&wOXi|d81wdlQz-|Kzkx@%Mow@Dj9z~&#D)WpFvlUfd;4-~9pLwF8xjO<91->@VldC@OXim{ed6Y-=?kwq!gj z?$ikh34$OEY>?@9GTg|ITCQ}{))fWG6?eXV%u}zorwlT%AK{v-JGtY3ju3(I#(V;1Y zzv==cFZpYmoAz8JeSCa8tOt?E-GBR8tEj3<2$JXL<>f8*(Z-HU!AsF}$!GB6K^8~W zd&2qt7G%2v(yv%N0I@Hfy*s~qAXDf%bZp=S96QlrF_Ow9c+!nCoF$Uw`*h`dG}G?W zQhRigBdY$l?#&ztKe_k0(!Q&}-fTHNA!?n~O=#c7{a>{2Va_RIV`I}q)B~gqfI*|J!368o z)(oH#^GL>(Qw;ZJO0T_yk&%%XtQVE?Dwx7$nHzGJPl$tJgnI#(+XEqa29$E>)v7N= z)>t19-ot8bx6==%B5kXRy1Kead(L$9^hkc@oC}AQ=A5Z3c5btKWl(l%2C}93xD#bp zcmAP4{;xYR2}xl|$^Lj{s4+DtgxJ&jHVpnw6*fQK?%n^96fqqCDUt3xAx-AmauB7@ z+JAYl$agWN0t;09{h?diMn845^=z^EdUxpk{fw(CHHtbqbZQKatknJHisX{s1~uuv#kK&72A`+!^9-SW9d zo<&{L7P2{nX`1k&Y4xG3>q4vP;c~G7$Yu2keON$r1|44zpy`#uVOH00;jLGSq9UZK zq~vd+F*P$&=LwW0x6rmC2zV%f^0Vo3p9E+k?#yV}9n9J&OSBy>A<{cC{CcBL70`aZ zJ2_utfkVP=4XuQ{8z1%nK_CHr=6&m|Z#Ql^>v!|gcn@kO z7a|>?=h@ra`!=y6-rMPY(Ur7@hDMVdR(Q`urkq4nWbI0D3(EOR^tk z>pPxpd#qh%$|*%7<9BZ3C~!4B|1<6`NDk`EWz)}K?*P&Rwl0+1yXZCuChG;6G`3J{ z_4#jMexnPCh8sk>g{SJ4^dd;Ll7x<2+yH$vW9Y8`Tw+e!l!a$Gx zKiS8I01G&U`h7$@YXq|sD9t)jn|j6+|$$3_1erq=wu7U8`uNfjRz3xz!Pn_trvre0t8Es!w?{K%sbYQu ziMw*-q?y>0&gV1{7&8OJf46G@`{l@K#%@DyKx5uu2E-ARBbx)cakqW zB!tvF(d1-E?=kjY-46os8LESJFB+XPAWY#v!aIL{Jp*uhY0dp>X|x3p870~cRm(}pzX1n8=sh1WjXx{THLo@)|RhbcnAnZ<0$a@>pk7hJ`3p3 zjYM!h8{w%o9>8X9+Gj7TUq`mIv~)impyvapeWDFsNTZxyo0-6E)!QxFHtlGX8$_86 z7$qgdo8pg2z+NM=TrDdpEPOx4zgObA=Q4G0VJ32?ar=~^Ko53SE=xEA>Yl_B;oP`CWS(Z095GzIyO$F4hKQ(y08z<)tFf~V?bpbd* z#jhlVcl_C?Kr~?IJ5b7je^y=bI+K@?mE{AT&p%HE)J!+O12B?-A%Gqn0M$caPodk4 z8TtMOoT_0URT~cK78h{)pb$Y0vPIWpmlk>%;I{xl=akH4^@+beib5n)>+jK>d z2j?V&mtCytAf<*9-&kGE5t*gOFvA?Ap*0E!Ot(G>gR(7!-{lq5xoi0IGaM@UM@B}V zNxtNH)PhRH{uNr|1G6m%(9$VT$54#`e+(9Q3e~1_PNy}B3A;H>8={6W=Ipw&m~$iP~%5`{}g#V*Cg#TAp57Tz^phuEs$0cSdr z+5>Ei`8|9lU`z2iKMQ!L&8*hspCNL$&jHO-hgI(@HekcS3S>e{D2I(+2e6qKb55p3 zP%mW(q$87VbN!HEcK;7?Bbd;B${j`DTO3I;7hLdFHi=JwExT+XQ1MEULk;Smm=0qg zY)M_Flx*m7{aR8wSyAZ}GX=l*IUUr_R@tw0x(29Hgh7u9bNz2PJYR85C5)F?e4Ad6 zH#@`0YypFVGR&>lhRwPxfKLAD#Jn`yb-OgF;;k(CVh4<~qRf2v$onzPHSobVri}zG9vqI>-A!g}C_Tr;in0EFKY6w>zuGt` zvb>rVLdyRUCN|<5ve1Ar_E43x(qC~!-6a3#{)OKxA&U;Yh}(NPZKC>nE}%B&PD6|C zn>;*$pXOi4fLU1n^b2>Ws$%{U{UGu7=<#xP+7Td3MZ9k#xMS#_9A9AVB8{|`>JSA^XZwWjZG`FP}UCOIAWGv*F1x%VDGsk^?NW=F@uQoh(nO*Q}S zX6K3FNy?4^`u8g6XTeiVkJMZ|?31Y$#0}6?sz-ntl5Pq}K5K5RG?rFlc4mZZCqnfEEaTzLizR_;hZovy~+lcN%?;gy*;ECqoyvi(f89BT9qaVGG%C z=3gvHN*({{BKyH|JKS9`YI4{5$|P2bCZulztO?yLhBvwK&V&d(xRME_e0H(;z_aSm zf6iz1Eq`*Zsm`uk9%6m`l&3-JHtb%N*LN~xSk4$J)H!!7D#v4nC+8Nq8+s>(r+wcW zf3Oqq(nnv;n??_9j?7!sncmZ2OG8|9O;zlhmglVNm|3J!O7h>Z7T$Ryk^D19!Tsfn zY3l`iQk*#`KTv7&Exh{Cv}k7dCtREg$+!(33q~v23S>Fr{mm7mStL1+&s^k)YJzKv zVk>KO=3ulcv!wWbGV?V0G}<{D`R#q^dT{zhTSII1=N{VO{;1#YQ2Yw}06**CztN1>Z3Qls>s})0+yF7{*3dSC&!QV) zKzP5!;%l%wk$Vq>*Cue<4lXaLCU^!#sB9R)P3+&*pDLOv!%BJdaE_ca;p^18(qf06 zw;U9*eEZnL!$oMQ#$G!uF3vxb1e1Il^~YR)vV+RSN)p&s5XXn>K9Ox;f6~TCLB$KG zTJI6(?u1fPFI_;hOUNS=w8NZ$&VjFR+EDRFMSFUCGiBf)@RA-*vl(0Q_RpNf`p;_2>hQTE{uH<$^SR{sySE4JM12No4{Ys2 zon4F=*fIaO(j8iO#T)uFh9_fgJii<FmX za0pX?M-DA8^3Bky=B<(LD#Q_mwkTpcByV7M6vq zPJ;w{@M&~NfBT0=BGQjAgNAo?t}a}05>zo#iUz5-$NZ$|g5($q`PIwZcZlF4STS%{u;KYteNZdaxhqRTW|Nnf-*vgPIrz&`ga}H^e*d5U-opjnBSjT6XJ>)@FwgeI|__oH6krVVhrPShm!Kgx`B*OQ1qg70R{C<335PD1LytI&z z+R2F@o|}~4$bRS53M;hz_>EuEr3W8yUk&uwgAb1t!f;CEYBqu7K5d^ooY~zIVe5S1IJV)T{2X+}Q zO>Q~U(BPl3mVe<};Qz?(4~Qw@G+Jt`045$*StqG$jTP+NP@xn~sJI96})|UKNcp>u=6_rqShqlB5H01_-21QaN5Wb`S(%{(vv9~>tkvI5j&kN|tMsq;Z z&Hr%32?IBf4vP=h8Q&SGreNRAFw!Due5!&^$9{i@`w(O<6bI~dXiov0xN|vtbjcmN z`Hq4z^pCR^Lsk6V%&G|zG&l!$-X^JeaNqic<9#om1i`+rC;tZ>?Bai^$V0^!mKHOS zg^~D;QH?|XlD!OGD5$2L#NVHYP95pIDmZxs^5i(~SzAmoy68 zCurBqa%iCD_&B5`B(ljP{8;pis9{;^j`zkdFGoCY|EFr{Ms`c1#CHr?;A>kwr>;9%`WAil%3 zkiFSyw|z|&`y$?#JskP1#&?m<4t*3|AYF^9i9Ep~HQU8+W5AJ?+WzlI$LbRODO*4` zr(&Ng1QysaH2rsppeq0||M2=#-_*rt`~KclAt3PZSz|8aefjh5Ie3jXjxwcuRUQYJ zJm}en-|9&r%C-X?19BEUnkPjL+6`n{bZd#K+dHT_v~^?P{WzwT!!rd|!nc(LxWYJ3 z?4nu1L+pmW8e}6S`X!8i3z{yHBc}KyC(u;wD}xSd>nHBfmqM70IO)pedO*R5tmv(k ziiqi%4T;~X)IoAA@lm1ov!L?0>m{&7G4Os+g#FvOg4Fv;rq^U%a+7i_ZoH)R+GVbL z!J?Ef&AN7J-p)0vD@=Q12O!0oOqM@0snnv24;aTLCMHIhf8O79owpyC&k(EoI%Ull z?G54~&YykH;SLfA9gy0)|8ujsp1%c9Fo8gkqKUOVaO5Qgt@6$_Rv=QkSovG((Rx|% zhN^%~n4AZiGSXRH{-_2>9!(vm0&`ekb%+7Gz8FErbu2?wpzUqhA=nS97*i{e?#x4f z0t>}|YJKOo@?*^7PY~!o8U3sQTjbY|x9swPe$X#OaOBT$Z_y=1mwfMPbI4K(zufvH zk_@Z_pnSl=Js=nOMp=^WQsj2{qk&THrr+@N)M>HQER`;8cE7ix!vN=11;C=cs|orR zH0wft6l#D}6t<8id09;3M}k!6(l%!0Jc}xyEoLU1^qUG#J{oHDW;}z|bCzHO$f8Dz zGfC6xXxGzcX4#DRGCm`k5;l$)iT}^7eN_IjjwZ0i(GPO8Ax2WKGjlx*!9f3O!rOaAXU=)u$v9A4MwTYrfkRLeTUCaTF z=9Z^CIOfPonz|9owmTU++$xyK&)Wr#eETc( z;@KmneQ&-gCN;}QjEV>0sa9T>_Qdx@8%WB($))z<_4&PjNLL%Z}ZE96~o1DikY`M9`n&FZ-6r1h|^T4-nq?nza`dv2!`rbyCfvXI@OfrdgeqOZ5pig zY^rL!XpN#+e&-Nn&({wMpyG^TewVI~}X-i8r>LPVy9Zwd5s(Pz41`A&Z zMrO06BLd1YbfV&Fy0oABqYd|nnWnbDdyiriVmmMMaL7tsY{>Z$>BU!V@fp>L^{6U_ z^VNEi-b&hA^6vEgr5M?HDT>T0LDzBwGh>EN3h~X24$VS#e3v@GSj7(QJJg|AM)EFi zMqEhvw$Ce{!NKm!i%Gw?nL{PfZHi9p^=J;{6VD#!hIcd#@ZYygm!p%Wiv#ckixP|U zvxglJIUypL!6_?brIN8KUR_ zJeEAVQ%}1HsGl!rp)xY(@$w=>yqQwv`Bu?mjy$7+n-&tlw%If|--Y(>H+oPt zG+ETx8MbZ9f&&y)jI?yHa$|Aq5p_ zKp9}C;L<5y`2=;XadT+aFWYKrY683`a%pBiR^~9x(G--M+}v>EuH5oHePP4&9UX&2 z%ksE;@Og0G1nIeoEs6Xbg;BUSWm)rBq0UPGp^yO4j3ajB&Sj z#NN>0NW*=4^CJU2eMQ-kqz`jp5)MbWXN~!&H{F0lFH=dX>lIRFVoW`iSOp(y0mYZa z18SZR672fQuA8Q$^5mAnt5U%GsR69*{-35HFtgKI(X^YLj{qtV3D{Z1o{Cpjjf6ol zZ14~?*BGgC$GAPi+U6Z70+{lpSt#*ack`S5+q`f^; z5PgKHG>*;i=Mu-k(nh8HW1GW$%BU-e_gdIDePT^Qj<@-1WVo8LIw#gp4G!(wGKk;7 z%p&fLH-@BOmW|ij2nI?^hb&My4dItddYX|Tuha% z1oZ9ckLB@-y>F-}Q9>PI>2gGf_eF=<$~pw71ts;6so-1|o$nYkLdWoI*%EZCt0IIN zi4we|pg5fT^=Aii-( zFZiUiua8u_ZAsd-S5Pc~sznq1R*Yk%RLtFTg;=509{@)G z;$Q3q<#bn8D(a8)y{U8nq3qg@d!Ni1MUO8n4TFZ-pqXVn?nqtGfA@qZ#l~uTwZcIyC%f3c@}3nb!lwh2eaHF; z51UF-Um2K-7;;F1IYO#wWF*E7t{r8cFIX0&r%Ni?vkPecH7_acQ{nvT_EZ;UG)CIz z@TBawA&S(ojhV$F$IiavekzF2J zSW&^q?1VoL7g_$|f$12th?QQXGK98sMqYr|@|=^Do1}K{?~VHoRT#FC=rnqeI33o@ z5CVEvQg?=zS&lzBC);)plvzTm~1GDp`4V^rm@F zs~1b97c{%stP!&nAO*U0$et6j9mxzTt%6Zt??6HWN$i~H+NASCia#N>FsJ;m`Ah-) zjQa3WVeP&FRgRJGO<&0SLg&uKrn)t6Pew_#ggnoEU{GNq2Tnw4f~rTI332~{%$}EY zb9*~4>owP7=;UsWsiaUb{;W!McFb~<8%No?)IK`>h=Az6`J6(OK!07vqV#Vn@pKyL zmt3Y(tU(|ArITss^s#Dk2qFV!Z$pN zCFAVLz>NrH-_1FJe|#MH{a@Y8-+i$iJuOZZ(|QeNU!0GD39|=hmHQU!nCVeR{Tz_}87i!P7l;Gon2rbBgx?86#i75yd=ti) z(DYq_XQA@WzIQVJ!|)`>JYZD1+?SY`!D*w3^iBl!iChLP&P5pBu0mL+A3W*-Mw);_ z1|pF^nc~x?GV7H#^8TMag^e5t0FslFv*P?{F~pAeON#++AR3<6N_}W-mm@>}>z936 zZ++Yev(xcP!dn&LM6j^^!nJ#Uw@V0pz7zd{P;AZY56cI@Lu)_KFpNi$b% zh5=?Ho0|o};3LDEH@Wro$zQ&}$xU{z*<+$20^kLs+tArUFbQRDZvMTYfe1`HPUdeg z6p;rDSYS(wvkePkk4Uc{(v=L_JQL&F4EE|ike>?>J4uswj|+5Xgzcgl<9a5!6yCM+ zWoWD0J~f_1GLEo1RcQ;yer~`1Nkc9K@#g?0<=;^39J;zhI4wT;GMo5$NdPl1QYq^s zA=PGMT&7>;-P$_J=q}d>W8+Y0?;;`u%Hu%#3X(2e=e-SH8yV#YfpFnwPT? zOYW~5b4Z8|9Aw*!|H#@|vauwc5K+b;OK`3Xv4`DFS^m=T66m1DMt;z4yXDUsgasDH z=GGS5lmTW4E|yF0^La}~eclEK9#z_{O|tp^w6oPb?l~zAE*g7-zIT*j6)}<#rm>gL zVn8Nn6LzzO{+7r8@X`3)Qv0?O=CY<7uWesD9IE#9^WS~`;k-Vl%Uj~u4#VQ{?o02$ zV-;X*>}!`nQPKNf%?l&Oi>kc)+^$3vSgWzd<6n4qx9hXP=ryiz7K`_uFEF4KPfA6$ zbLpYkBHTi>t-lPvI$u{v^adExc@}V<`E0d|2gLBSVlAf~GWbWKhSfyrs+nUa!3k&g zPGhH4M^Z&ybTmd^|K3lPF8V=gzECQVR7MVUa55~^Ms<;4?e_?`vTlV(5OalXZ<~TK zJkYU*j&Ql`%@_cWw@7l56Z9SHmk*tJ!+Hz>z@(<7g+gk6N6K}WZW)Q!NiO$-8G5xYULK3P;Yi-{gmO%3Tr#|6@r*My4Z^*o(dF3T$m8){| zjhxq_!gsown1r>bZTmABYxn*iUrA-=`>hBQBh@*j1ygB^R|8aAGb($G7@3((=PC@q ztmDZr$JmDr&n$x#7JUtTgjO%oOVZTThmUFk&{O#H=a=;K^mCXjV6X)RAp&#&qs5+f zcpMSuLQkN-4IGJOTY6xhXgxo0ZSp`O>s0O$#ey1Ox0b8-PQ5t}ACKmGgIyG2=h&|H z^Mo;Trm(VKw)ss^)5jd0Rpxr27{!igb6tdkeCh+;i&DM9Cqy{^bN3+Ka)R<%StTVb z@VFD0$IJIs1b$!R?1uq^H*+&+eTU9C!xpAyXP+#2?&i&(kVd!hQzOXcbQ~qFv9Ttea?-WeW){c*y6HxUmavV4gDv$BI><@ za_!-MHZj1bKfsvW?XAc5SQZ%lCht*2P;aVJF;U2^Y>2v@a3j*%rzVe{oST!<(IM;U z>G}BSld`6!%)586z%&7mm_(5Y%+)(kfByV=S8E#xG?-~+WZ>Si;%vZ*i@XN>KqI)V?ZXzE zr32Tq(>S{-Gs$n#`5%9mKZN|nb9Lpi`yQIXnKHev+myJuKvz^G6S_UMeia-7BOHWH zDIP&M8WL{lL@oAy(o`3jL_>30Nr}ZV&;T&hfQ&^a|z)EM)rH(!=fV( zR0kl$d$DzfoZtWg{@S(X9Ob}Eib|&3xuBlTGMB$*-$>|dDU375oAgGj4lvJrgA+Y? znC|q{5zKQbDcjE z3|qaYc2z=4tF53nO!MANjYSM> z(6z4n;YG88r`txw0qC%XE-Q5UQkRup>o)9)OrOO5Pp20uN1HKb!e;87J~C5WOgL0`qe2r z_kKiOMla2tqoX#0et=D8;BP_HX!`epk>~HO-d0Z4LJf04GmP)s9jQ!vaQX{^F|5zteD|MDH=|dKq(~9VgZe2 zUCA4>$HV8c0ZQ(7SMgEAW31GpPgAAYjBOE1&G`Egc)ZKZy?710dB6OEEMr5T33s*I z^S>aGc64$ABXxug4Gp`7ik3_H&^C8~&(8KX^t6DK1(XLm{m>~1-3zM2+KQZtE$XAIzP{&}dEURC?dlJw1pZq03lMhLH)NBOk|(VIIZQJMA%0aB)6()|(`d z1h;)9HA8PrcSJvn+$bOlyx-`#I_8;*EvQ>VMW;-{9>m76=hI?vrekDeq`?ja&-A{N zmVN;qT>_15UEfO%Dj<>wKBvT}WN15gFoL^!_4>7iwKWZSG!97CMwizejn4#DE8`*r z7=+n}H8`SscFuC09-H6Zjpgd;-^1Ra;%hnmBTU*l)ePrJLG zR|CEBf;C)0s<#ND@{zo*);(%4SzLWD1c)nTf^eMbLk?F&rFlCGDuM7?6q`f+HK*P8 ztMo{P%|NiWwifyv3!p8~4FxQMi@Tqp3u>Tv&<=cwsSh#)jM1ELzT~_8KeGV8$H3Tv zx1#$?OsTPN2G#SdOeB)x<-InWMzn9}=-Nh46A=dqrI~Y+#Va-_!zk36LppWhq^GVc zQpm$f9K_ALjc~D~4yg=!9C*_=d66r3h{1P~dGXE8ht>n@Jz&W~xt*48l%{Iu4Hmtv!5^%H-|Zt6!QH=5z3=Hts*%&D)e|I6>t6CK_3 z_T$Az7gd+#+t$0~;->BSA0PU;lJK8($ZI+w%QtAFFV=wpQ(&nBS4cRkoXhqY|E(2b zYaqU^Z_V}CR^;rUZ+D9Hd9I3}+fmC)nO~Lu)6S`#r>G8;V!1`wGiaM{pEns)(PJ4^ zn4yII{0(IAGq|$+k%hOx;4uJM!7N+}(4=oH`d&*(7)9~>=8T|UD6Z2=&Y{Ykg2+@o zgU=s>!sJzdGH0!k!FN%WtPOZULi6YDCs>H6&B7vKEFmU%m1uwV_i19JevucmpQz)N zlfC=)jCh>LQ6i&M4Pulk{r*WT`y<;6YREXcA<8SP;)!LubYLGuD0+eA>lyeYqo`&YOEyyRgxG*H`Y6 z2KrZx*#>XA{@~C2?D3r;&_wv|62#+)xDvxNyXW#<+B!XWlxHw|GxD32ZW&qCk!u>4 zJaq=kw~(&`iLbr>9_A;LHoUO$K!_ew%x0pBBJU%fL(D~WHHFo}d`^(~XQdIoHd*2n zDMSW)V$J|@G0wPJgE$fq%nYikg6Cfh3=I6;1rIZkqTC{>-E?(yByc4l*VUh>D4st9 zPkYG}hFK6LCqJ+IiZ(Ylr%qVFWRHsyz_fvS>>4)1$yF?lM3TJr;wS32Y8GxZOq=k) zUW-O6$YhHb*H9+)u-l5fb99pSCON(uMYr~$vFE|gAA;=xkFg2Us|sTZdh(+_h7jXn zrR^3)thDBsm4Uqh^&Q5bECb$J5-~l|^woEs50wnpH8toxNeTMU`uf$@HO2{ zKyqF^WhQO7ZCkC05ZqqIig;n<+2~U=BYB!2Z@#V0qzbLz51(aFmg(J{;=7DK3mGH2c#R)EWyxi|=&IV_)3&M#$Cs@bOVcnkwdXRiTeF9x%7o7+;_BaU zi|x^69OG0F|Dg~Eg$8pEnalBdUMv*H>hc#1Zu?6)QX&l9^_+V$!k{o=62lX(>dy)fr+1b-kfQCuy~em4r#{?R zyR%wa^`YoW<2LF;85TOEOfG%tKG|Kq-+d$o|{Z%{F`; z_(C*DMwwjyQdq>vPV3!ez<$gw$)9(zG!WLhOAlfp;huH%Kyyg&>y_56DnYYVshVp= z6gxUi$#oINbR@a_rpm-?ZG}*LyJ;2~q&l0kz~HRSwFLh0j|AS2c)dxVH2y5fDM5aD zQGR_7-|$W16&}{vYpL-lQxR$GKWNGQ?_-WbgBicZCfBkrPjjO2b>80#CddSWnW>_p zL-VA`7cQens;Z0$GKU38MMYAvoA}hES!o^}In`c54%D5Dcj4My<=MY_H4a5{_$J~F zP>CokdPA!HnRXc2juL|x=7wo7HYlauHTMffkI&Z!6<ptroFYW=h1DyUpXUkOxt_M376J2H=fpbZL8FMP`0O0T&&Syl zZUxz_sHbl^=esGtu%&={ot=~OE7Op(o14)hcUm2)qumY7^466>2%XCqGFC$X%9R2e zQ%l@ut&Psad|vwjy+lZohBoFI&e&Jsm078j^xk*Tr`=E|-u~K7tFfF7*#;&!1@pwG9nib>72Z10wqrZ(^bX_8Z`FE0?^r``M{YY3jD&v#TieSK<) zJ@@X39`{qnM90K;<)H5ft%RG2FK0TUw2pq?E-%)Xvh=F=bQ>8r*v`Tf6)7{}FW(h7 zk!HBNWsOO)5<06w&_y(h4_$gQIOVA^pW8cFC*Fy;B?cxC_3rP)l=8x{a}%d^sbQZ> z5EWCrlMpkRT9!=V?(BYnlHq>9P0WOYLdP&~@wJS05QTm17L%L3_5C*##q>TLcEY8( zXt`u=PnczfY~~vcuA<~ZZ1UHgj*FDaX-3Z7McVG#ImK0JVWrqVvpi1k()OA z!91!jj{QxqL*R4jXePO6K80zn6~~1=iA|!6u{q&gzX8KeNJ5$qM}lUgwnu_y>HA#e zAD@aTpTqSSjwc-QXG^l{4161>Be;Mp2tQ~)hx=8KK}3XzClOf(rU*;_s)jqIE} zqD{nSG#(8>I$rSznb~ndQ&LV5W3hN+6G!u7Ie+`av;S%s4>&!CPcYbhxGs4PXXtdO zE4OYzlbk{%F?jvUrp4l|d0@-|W@K2XNDd~t#N7YI(>sO*)_(EA*|x38nrz#)ZQHhO zWAfBwH`z7SWP7r8_VYjQdB1gCeW|_oeXq5CS~muQv&6bW?5~DV&Y0J5!eY9^?DBu_ zQL*r$Q3tKD&SJ~JC0Bh?6}}>VIp3cs)273f&;T5C#}uTNhjs# zOXh*i7?iy)k4R?Pm`b+n6@F0*3Em^50TtZp&QzuD8{ZN;3kTB)TCmDng*MHqIDMtI z&iTEtfYxSDF1@L5X{D9GHP)afS^ zi)+-}H|-0!Ac_076G>oBIu%-V%GGF<>oi#87vuRo;Y0_FP=H_2#Hi6?T3A}Xyb}wI zy${ohGsGtZVc`#5A*0;K{IGDT%H~0#5W^-5*h4@oMW+)GZC@8-@KU~0FA1i}*H^CZ zsVFp~9Uu?<6(p5H>y5Vr^Edx_n&dyX?V}dBFkJFV25LN!U3b}{tD7eR`RJKlPerwg zffuvlh=E9dq*Q|W9RhxlrS1esH!FK3w>`1GS?O(LuHqDO|3K2uF$CMXt_{e8Bl)V>Sdo} zA9Ryysq>Di$*s;6&zNR&u&mnL5RD_H=oSkyxC1$^b9BNFlvCM|8!xD2G}CTUm>UhK z@XkXpwcF*7>dp)im~K2K^y(3qk@^a;G|G@EA3Rw2u=}$mDs@3YrzeySr>14%?Tx!Q z#YXXo!hbRH(+#0m;b&83H}`LuWAAQku!CD}2;;b@o?wi1n)OMwo;xo--K-~~0dktK zFpBIsn)I#GID;f+yJbqx1i|5r4T9kDkJVP@il0K|$wSRz8Qh~B0#h%)d)VRje|iEM zB3+5`2U8;@+VuVi8Tm>Y%qE6liFq?_K3T?NY797*K<9MVC-tW9(I*MC>kXG9&Ga?P zw1+OZ${0+^s=N~OGt*1o2BS-&N@(PnDzM+f&mMTvWk%AsCz}1nVb*MWe&=1nLxnb+ z`ft%bD}2ML8{5FrX~$srynChp(&&$UNn{aJJT3f!u%I?Jhr7V$^M(+F7%K8AG7V}c z{ycB^L=Y7fB`7o`b=3OFRIt^hqA`F$Tjn463dynV9TS>(j&gzb{sl!#wWr2h`;i}_z-lz*##mcl?! ze|hoN{P@{M)52O8>k6l7vh;)MS6n$z&Kx|Gh+PcPznhgUR1Hv6`Qw7$m zR7q1QMfo-z0XvgP2`=7wUnI?ned1z-vY?L_JV)$Fo$PJ9W2lu_OP4@LmtMygAutK3 ztg=9D$VC2Mu{l+Ts>U%t{HXyiSq{)AJTb1 zovB2Fv4K(J(s40k&fD~F=B30MPoNNah*|HYg(fB{WVpy1Ue`+y&7iX*#JP7Q<&*FD zne$eTbl&ZGr3xjP2N%nc(%j*9v%Se62qs;;2roRJY{55=JC+Ksth83bXppwmcLI)_ zD~sw^qeW9{w;12$#Km&`_)(@L#6qJEF7XaM2^3mBlMl_dYT~lc&F2f4MZTF7?=Z|u z_E)nMKLJI`dqi3bEMjB01#y)vQiUo*la75{JaxhbObMAZ=5u$f1xyVM4VZ8d;I7rw z#IC8~5acxs531X_Lo_}|g_~j_*$gYT6+0D&W6wh5>;F@iKgGaQe8|pcfE*tqtS;s1 zawd)Tut}2j92e00S}D19_eq0pC^I+e4ih5f?wo$Q$_*vS!-(7EnhhL`})H47nyara>I2avyG+*(z2{Qg9 z!TfQP_5QaZO(u&DVdMWd4NUF}Qhs$@qxijg7XQ30q3lVL69z_%q>G}!HzE&*3kyK< zB9$_{K4h#py2vO_veoU4Tj4s{P8nSx6~s0L^)jHR}Zz8AAMN$ zIz|j;Kt$n4kr2gRd6+N`lL6USR2U3e6&1`gG|kF_)X5TyRV8wjaq+^40Nfv(%QFr+ zS5$aVR3??S{PGcYfYm+UZV5epKORe155qvdq(;&Vi&cSb+lv$e6$bUUYTI5K_bm#tbD6*A+bYocEBokr4_$^Tt|eeJt< zkl{k_8Z4=hA+7efn`-jY+tYcaP;h9Pczp^zP`POIZ=&XH%k2ZZC$ewI&SYIV%cJtz3p-UwEz zd6;ZA+0hq_tucnRD}OG5*%iB2;xjL#Z*CUqDj%nSR`&7E?zAT)$uerMY;g7T4d&=c z<*vsl=R{g1rv=sk7nrHL%6>=F)T_|~jZV#S4V|(loInE4nDlp4h=Fux*%V-Qktcf! z0h3Ch@cij`=^1Luewkz@$(=Tv!R4X}rPvfYGKD}InD)7)c9+Lp+1T!#{;&6O<#fX9 zyx2TsRRrFVUg!Pzc2M?tcGq%et;--_*9pJu^*Rz0Zw+CSocDCYll-!)f$XPK#NnYi zUVOw`@61Vt>M-E;2Clu#Dinkvr$x?uiRil)SI3XcFYly5f8B2ySRJ|B;1(MXwv^dw z6ft@+C?qmU2&fnLCb4)Xh#@NY(L%@`e4->4Ep9aui9Oha=>iVqG~-eknek1i6WsCU z{s^U7jvO~KlpcD#{UfUcHu~m1e(5*pEm6BrDJD&Ry<$l;-`dd4gLEST!Rl<&h+mTZ zvntlufAlWw<$L1%>jnAOy2Jirrrmph=WO69*DSwiw&RnG?zx?)6vfsMH&6L*R1rh| z2Me{pNdGk#`O3X2V`j%~0+E7%TgXu2bO}@V36fqc)e;Wdm8sdj0Y)I4|Ifk}>RHhM zUffxNa*3QOrtuNgTD!k%cg^FKOdNckzmM~&@>^z^47Run5}KtjMl#<&P15IMZ%jVX z@5N8-5`kC<;8Ax8{qN)?4D$@y#>}AjsfY0DlFhPo!}G!3-ZFJFlK?sqF50*>hKTSf=ro zcnsk|#~1~2su`V;u_-y(K4q8;Y6D8YYDCr)0 zZ)COxz8FmU`CmRDn>F*lvG|^=Q;skUjl@2T2i;6#sW>q|QzVzRN#=TljEt$Fm%i{D zFpU#Lhj9l(3(4QVYepBAIizdvva=dsc_lc{a$cWJb7^X4076`=9FOR~=5XE(70W_+tQ-!1P&l=pFRzqg(NqTIV;Ay>8ttZI;pYdqiX!S5 zlB@iKv_KK@UW=K9#o ziWM>v+BMUBCV_@ijgQg>@r%sR8(6X?+FpnKnlsz692`e8cn*$Kd+zYH9LGxJmQ4v>P*u9zBl~y z?DAMg8eRv)lG-@6Mqw@&J$0#zlB`QMmSfFeVxU(0HY)c?1R=Qs&7tH^a;kXorjzbb z3`$y6s5GO>WiSO{)Bo0?aW=N5$pbTlCjpa`y2x-fTVgZ+^k8?S&zjKvU#(FOXFb88 zEnUu=olM1kH9;LwYQ_Ap)kx!Pde;nml`lv`W})JgQr`CXgQOY6J`V<7PltfD#D%rd z*4|K{ua!Fq+dNZJMto0A|Ja_NRxou(xxFqEfMqnP;e062zH+dPkcqX(*%4%)u z6EpDA$y9`YxfYG4`13{pGTRHT^KR*1tPbJ>-_MNj6g!EF4oqCz>Lnw(9W6f#oLyWZ zm9@~!9D68mHAZ8q|N3kXVqNuklpe}@+!Vj}Rxpi&Gr43|-lj1mEhhnv0g#`40#&!w%Uq4>re8znXO&q$mrxP-=S`H|Ub8>X#4=+T3g zo}8rFNMJVg;R}0FQ*_Z*?UG$|ke6mHwv2leRsgwK_%GKs!6Djf6GW`X0~{4A`o`+B z{X4}qidh&k^SCI&4N}|f5dB~3lOq`nmKoPA!OFQ0c8Ml2A-Jvpt{JUVbM5DkfcJpD zw<6#o0YG3S8Zp-F|I6uYqSgYJGh8^>ywy^CY<_NTC`lD>p-4UQ+;!P0k@cKlW2_$I z=)?pZKs)HL#L;`R;NcO`g@i;}6P30w50>x`m^^V_6F#QWNJ_0_R%2@>*Yk`>1%{ND zQvz~{akEAEewIBC2|NOH*~%hHQq}B7<7giK_0W19DRuQ<_-Aecgb#oawSHp!v;;Ro zxJj$bpn;P=DucdLb35K1W_1KfVcC*Jsl$B~M)nj+QJs3t)fd`got2lDr$N0EGAV z%k#}c*Sm2k6-u!A!yQO4v_JY~j5V8_i_0vcwiwHIr?@SI$i#Bu&E#(rM;Gl9?1%f+|(vlY?Mk45{{6pEQH43=GHOBty$LNvE_{R=C_^;8N{UZ zTls*`D@PA}Nv6nFaSTb!!?=J3eMkG$v2R#)_IQX02u^|bG#%3DbX6`7gyi+a0RKgT z7QHi{0SkrDy!H)`9p$EFLON`OGzC0hPcto>&!z-xC=NT(=!e>BK;&RLbUlFeP8_lV zhsVC3J8$HM*XB#CRJKKiPck&~N6GOPu_;&~+orzxfG5iHzBK$HdVbtG;A_V_K`*bE;+bR(d^PDTIJPo}^>{>E$pi&Plm+|- z;~7jIb8dm1USVJ)b(-^srs2w^s?@^d_vdJk9ZIp3>9A9ZAsSls-_JbUj43G`$wvg- z`((zBA;#yMQXz5S;tN|61>aHzu}VAyyI!OvmY!Hk`P_VtD6dqmDZ(`|P z;+Qv=;@Cq-RInG>@$dwAWug?^&Z5SGg5u*P;yrw+5#h$#63sv8<3&K_7xljIg;6%P zS0q+#bB@s9^j84N#d$p5I>(F^SEU*Q5V@H&josg~g8;c_SryX0zP!bccp2_kb$S*a z^)ifwuCV4*sRP99(Gn$7Rf(ueJ~XkiVkV$5amrgy?t{jtUjw<(@S!LuQJS1CyQ^T5 zF0pR<%lF6Gg@vP6Pk^ajx?F`OW)Dr)d_FzIA{Ba$Y@ zK}4%s&1G5S!RG@lRdN&=c-yaUZ^{^u0Du0@LU?t+sG+H;)#UnfKGIO5QI<5s8F%3N zdMP>bCA_Z>sc`nKvmn;-J5I#>Sr7on(G`sZZoRgLeZ7x3`Xk#;I9jrWkDS29BqMnu=_ zvW^m`Er1ju7x!>LKt)$|vtw!B?Gc<>R1}cq>LHwL8?#QOSPimiSlA^dBQYG=XgaRS z>yF0!;>vY=Qsy#7skbZJ5>Rlq#<@IY$a-n165{$JJcmy;uW4?TnyFJ73!#g0L%L_2 z5lTa$%mzX}$PgKuyR0DX`Ko~AC99OG} zC}RL>vtXfqhJUMV(-STcqhCCs?1Eza@QMNdNUlDXusnL~Q+c8K+Q#<%X1Ro^XU3}P z&mELvd<&NNhyCr%?yM2m&HRKgloOlr1QN7Xhl|PY-ft}(`q>ffx*k66WPrQvAzTCW zgmq|=QilsxA))yE>F)5(BAevXQhp%IK<}tGb~3FNkti?gI0|!Qs}Y+XpX1Ud!Iwed zySmU~>2&(hET`lEJ$k_#)`5o6Xuura^*j0YiU*geXabp8-TPYG4sAg4uN&JbR~UGp zMS?=Kqo?q5bHxO)d`6?Z;=;Tk(-1wf2}pmO;E16wno9st(-IMrXv4HIlV*(z%LJ{r zj4tJ){6uZDN5_WlSoVVuMu}eCoN_`5g@WfB_3jN`PRcq&A?*a5%QJ#|i)RdJPDRIXzcNgZ7TJ$;o;5qH^|tDjb9x2_ zAQ~abJll%>tfJ~$j0hljKY!?yMtSigT4W!$jZORei4^D$tuao96Nh5Jd@}g|v;di1 z*_j0r(cXIM3DC$s971#dD9jy8+3pM!1l|*e(~-^!%!j24q!n|VW@!NNqmM#=!9USk z7zoK`D{bWB^bf6U2!r?g<*S|h%zqZAkL1r_2K19IJt%-yGFoiVU(1E3G$Dru2Z0O* z3}_rhiiIjzLR&F}8~NNGsIwXKg=jpDDKpkEHe)Hq)l$F9gyTiGJ==CF81QWea_=qo z%If|HM?8Q22Rl(4Oa&r+750HtZEsEx;&&W=TpdR`bOx7x$3^D3+UASezVeJu+Er0C zs?^$L=LG(YSOMT^A(Be+p93Q3BU!)CFD_}fi^}3~DW-y94rlja9!m8Uu+l8=L);Eu%eC6tV<8O+Lh+=#hhR^r75O19 z37ggHS<4AzdM#2mm6^N&ul?r%7rpo}Av*yDF(p6{D#&WLH(O#v!ob%*62T)=Ul-^Q zvu3hx=~USQX#x^_g3*Y%2%iY~0*#4#g@T$nDoj)9ZEj!TF^1rA7A36c(mR=@a%|0DWz< z@5%rHVxc!o(oHKFRjL{m8gGAoa|YAF@8k@nbTjt(er6F`9qW40WkU_rNCqYU2H*%{ zZOQ%oZ}jqvVfAkniv<9?fTj=2!N0?a53eKIjF~U%uC*uNyj&h9)(SuEhYGlnFTqLR zjI2n!bE>h@=`VUfZ|P8E2MoWk=oJFqrjJGq@7lW2I@?1&-Z=tF?p+Wq+u?DEAuXDk z)Re!7+lDo zaB8e7pK$4q3Khkz3d;H%LX4joFmlLDK@ti3)&v>jK)|)=m4Dz7{&D#24bh`4S&cg! zetrVuC`L1)l~!0TPh>LnWd5Vq8cHJ|t*jAKIz?(WpJK%|DY#i?_1**yD@UKw*m1aO zw#ivFkr!>(ZTgQ)@ruW*o4%!mMFha7HEEf7duOY(Lg;(*!Q(fb?`-~zQ)8E29C3A-{nlZxms6_zq_YD}QeMb*}2MW9m z{p!ECxiVpZefj-#!^UYa!sLIA1l;H$Bu>XUWQmLIUfe^5$Cg9P0BlqLI%NF_5VW3R zQ!k!ZmIal*d!sZ*H4vw}-U5kMzDa}b6q7?r2Of5lR3wp2@6;eL5MX&-y42n`o9sV% z&@8j*@{4r`iJ3<;!`kAuKvhE&aQXE9?C?6W7l{ zl`%RVLN%Qyq3aK916`x0SRmKejlM3sPPcPxDi#&^Bp$OVz+Ixa_nE)*PM(fbqM$S_ zy5DyXh6RS3%}tVf`e)li^C-{Wr=Ub89fEuX+#>AyYtz>9&@J<&#)qC9;(;fF76`Nt z|7P$XYrc4eefbFBB(2w|O`f*Uw+#{^5dyj%z;oW*JP5ES;_m4ofhjc_B5jbb9(MhV zzOZII(U5E_SG|L{q+LpBicf;Dy}H^=fCd<#Tn=RIXDN#bcEK@+LVp>m;`-eRKmeDClo@uWc_== z;bPVnE&I7_mKEQ`Ra0u>&cH0&J8tYFs>DbGY64VlI8AzHmL4xB-emK&7hnC^Xf&rg zoLGW!8%<2+R0lYtx0?Yn1ein9SO=rI_HSkcO>qk8l&(0{D4QIXS=KAwg?HVMD0=oT zMIWHOi0zZE@ncwjCIQ{UsgV|^MVUAqzN87kBBMZTYJG*(kdajC;i%~gCV>%at)mAb zOuMh;IckX^g-MR_DNp842&LLb2;>(xE?s#F6VAqQQGxXX`M6#H=0bs{wn+N-M;(n! zQhF1T2AQI((wFRkPDoi`QazBu0j~cUoxg^qJw_(2EKg3S1iS%O~I*k)O z!@Lzn37Ey;{zC;vV_#T7lK2=$wEQ@WWK^~i5pXMglN0#akgat$4k+F=$; zhsu6bi4ad_Yl1QZTk0(=YVT2Y;?L8kj<;@aGjiR)8(f9YSi}gqH{OK1^S(RjBa5SG zN**iQ^+z7!o)zK{lIvi@zk%bn{<`wm4g=N}*D1xe4d!2uJ{= zFU!m7oZQRO`~cDC;9>(zbA_|1v&X?y)JyD$i6@q-E^MHND0TJ5!y47>RH*Fn|HiO< zINi`6D7fDhN2MPO#lG2zC>*Q?n5S*w>%Ncv|HmiX^tqE`ez4l0PdOUv95)l*dVxJ& zu=kwkvlXLgp(8q?LK#3aeo$V&3Zv{UEuzE(*$+gI3O|0w6hsb$MI&VXi9g8ld}NvP zDcHc47XonR^(KIvY~t2iLE|&};~k5~{fJwP^9|>5Lm~sW*W?q12%|HM-)|}a1R0JB zZ}ukhWXbSZpL$mO@9Ho{A~*@zK539lHvC2?bU0Tigj8c}p;27d+A!~P#{He#*i#7& zoN!3}APmW*H_>sQelu}IxiX_JO^i!)bm<}?@G!)c_0WZ-Q1x!XB$hNI`@e-jvJpr(!;f|82Jc7WWmXpFW$t6QcolY@?Mk|h?l2vuV z5{O1fh>lK(x!7o>B;IDa^Z=$a9UE6jxywFc62q`D_VW_~N`26+vAcQd1X~fM0$*O6 za!%8ISz!hzk38DrXbW+uNTas+oX3DvYzb!=1uJ^xmn!aZa))?LD$*_rK%2!>~UHe((%_mViL5 zyj|}_@zeGTY5SQNI6X=swe{Zk_CvhD38dg@Oa@Pfb>MgE2NpZ5j%j0vtEsz(!smsN zCXVh`1agNHRi5109M7x=+QEOF$9gX6_M-O@ilD>0X}@uQ5+CEPCht7Z;5Pe3%qJ;}Ajj{Xxjl{(l9MJnfNadTPrKVv)vcL)C7Yl;P!mG*`6BHLD6e2%$O;P%euk3TWYoDfF zR%i>mD4O9+;iq*n1_3e_i*9wp{ks3b_~JSBVt^p&yiel+y#IJmLh)GBi<665>l`4< zh;w&B`V$T)C`%o#{>wJsGjX`e7QW?hi<2s2Y?>&!Cg?lyCM8U5Xm6jI@H(Y&CeV(0 z%VUT$+90#@?nGIsNx|u&*fZs}=hN2GJLjb}M&s_I2$*PTot%i>qpI1pT?^RJODqRk z3JC;xk_vlTu~{e|ci(826(GcigSc3uq+keCbdWri3&S2y9A{oa)Vw5W=Kk6{iQTke&SgOY-r9uJ(S1#jel33X97t z5?{-3n%m8Xh`h5abUJL;3_q{W{s;Im0TRy29aZ92#yXqtwe!DXwH1L+-$c+=%HK!+- z7dD%4YDEz}W#~DcIR%%5L{bTS^1@dWSzlkjq21qcWUz8SU6mdydN|bY9yzDf?keZ% zxbSOKnBzBkR%$-NVL+(g_aX9k4y6iVa3)d=6{)eH;0T2Ra}rtDA`D6;xcOb&vQ8_P zDyO{Ne1D7#JRD5H;G(JidajzkB$>8&!1e;bO~UNSk!THLG|GX*24tefi6M@`kekZoVvosP9v}TJB%f2e zxnGCYI>e>j0}ENEAO|CZtXLZwy+%2}DI^sN!PB0gzd`we3?khcUw%isBe2Mz?uZv0 z5Ifcun9jS#NbhGaX#o4KCoTiX7vY6MNZKv@Lr74f#b_|#94@NZVh(S-HV%-fDSsc| zb>tIDf~wM{Zww}_tjpEAAb=94oZfiNxqqZQeV0!KSf!aXUY2GBA1$(ECrq)K};Z1M&au z0HNIfLuMG4iaG&pu5)Z{-%9NUP3#sHqnlbeob~un9n2+8EPz_V14*66WGcHXwgqQ^ z;!q~+dJpr59KEXGx#Vq}^T_(I-fzbrKEbL=cE#aXz42II-li-5rPs~x$D-T9*?YF& z;=wb*jqYtDL+=BM{z1FD#w(>W(#I~pJMvcYqC68vU8M&`U%pxk=z2c%-=|Ic24Ci3 zKW{XVTi%{$m0NB}R@G)&ckf(GLJq(lew|}^hLjVPW~Wh z@A-XpMr-&QN)}I@Ddo$Q^dKM``09y*kvu;q$O2f5_oNMatHTZ5?|BJc-g^#tfp`KsjiPs}6QwBy-Puq@Bzbk+NM>>hq9P%T=t=Xn7OoHdG*r z=x0l5;H8*?N>PgTs!{pzZ)+lj6<|ND;y|5r>i)ZfLb_z$s=Y9s+}b@Ov?6Eprpk#g3`5+x$75%`R}2XJ1<>ph zA49E-!%=Vn_cLz1Q59E+Xn@MsyQ3AM^|2XiK$7qb#7F0GVAc zwA8%>kJ5-KB8=RVW}S?sPbHP(?3tkIoCddRbvP_>=JYS9Wx1eD?uo_el(+kV+*+@~ zDyKFCGETD69u@t&`dcjv!)U*Sw(UL#1ikWygz@uU9S zzR%=encP*#*Mluv{{)nxmD1%j6S5crj>DGZF=XWHoQqq5M7v=@WWRI6gJ&vKUWdN? zIRm}k9dGCzM6hWu&;*8Wh6@)AIumTe3M+|nEViMKL6tDV2L^-#o?OA1Amr|MZY~b~ z&2ENPuf2atI+XOVy>wm;9YSemSlil`D$xL?Q4-X zV_CmHCtB*ZrYn6KnpQ(scIk{j7a@#D1A=CRRvOCV&Q1~YfVOs{PKM!4#ScnxVub#% zMq`P61S6eaCGy|Wuv=-E3~c!^vcGUdgIZ>dbD)s0=)|bk)ozItQNR7vZt+@GqJD71 z6V`%pETZGmre!M;LtzN$JVST(eB68LE$#_2y!X%Zpq)d^h@RURx?S^G{58yWT>3a$?cZ+|b(1C#^g+R70Nxtv z3~@d`r;j8qr^-8Y`)Dz%gT2;FqD|4gRHRD9hy|u&G8_bx9PP6li6w;6nws;}eGDA~ z*a+htAZSB=k)fH3ZiJ-XW&a>dy?gNk2%0(# zS7I3e6EtX8k;imaQ%@-VxqT(M;_kUrYtW!tt)@q=YWd?oC(=6LqNq}%{pVZ1iDdca zFHl%Zp99Y)SEoE^N}<)P(6q;`(AAV))f3FYp-e7Xd`UxBjyNU}l+w}f5s*fqTh$no z>6B{bYx{g!M(4?vuMZBW2l(9+mhBCV*?)<#|BB4f8E!-rvEUsDD(pVS&{#)!5X+uH z#6N*SNYX}RQ+Wf){}9FL6z)j2B>Ob4iL|9ZL_%#;x%X|Ts7Q~75L0W35bPEpwlkp1 zyZWUmGw^>!2P*%0u|fe}bo&EF$^Q_uq^HpvS*$ckYT%Xt$35j#+F`RdIe)!P1?YX> z@=Z4`;`ICGAqzDJ72gNepSz~8s}g_hUVghx7Q_KH8afjAJR6RD$=&WqJPW5Wx&8LJ z68HsSS(r=7?=7hN0V&~2GF!$SvWG<|*gGvszFbX&Q~^8{ zgWO83y7_s~@JF(Fj1prM{ZI7si(+FNH4U@Z`iR95X*3hga-Zbpbkd-ZxXezHg)T~A zVAWS$U3_sdDPMEs%{UK#F^NULSu2Wl?ex}jgV?`%*UXT@-1tYuZ-&kC$ zD@UvV5$7!Ya5GLVsysok+Pg+pc*Vfdm%sRN*s`Oc10(;V8!>xVxYnF0xd&owW%2_8M+#7c;a34q<04 zgbefXxkH~GA_&C7H4O^1WcA*38FO`u1as}$01pDmqdzc|sU*!hbyx+*kZ*2OE0voL z=g3@fsRM)cF`{j-WNp_`< z(o*ACViy&mk5J4IC@SA6&aYrs_AXTHey734tBQ#HBdyZFwFHgah~f>g$U1h0&K_I3 zv<~T_TYLX)J!-@R*u4@7ETjA!MNWSBJ@-97W4&Y(xEuALev_H4AS!1y%(o>p6KETI zT}zy0e{^4N;xoRu2G)`4fx@HimBSnt-kHkJ2)+?TjDB8DZj-Wseux@nF>}E^powP4 z@Zg)9SP@q5(G&Yz`BKc23nco&7ScuUHi3R#G4)*KEiVIpDaWsSf1#o*4fS+H!IpnA z7e~mLVLg4obwisDIKRtOzVYNE{a^an(2&^o@t=vA+s%|a?%d<+`9(BPh6y| zP>cyoJO%XnE_4Y_$T|b+0>lgbL-QG6)24Ye!Ul8R5a~|6?6VK zK+6&>CKBKkOL8Ga5n`?lY@m=HbK@b@CO`8oK#<0IBh{b*lJq`dDHE;G&naWi9y+H; z&g_xUkChG(A9U^^od5VDLade7(8f!E|GL~upq~J_^rBPv769^VRY-WGI4&kaIxdGt zHj=6`L(!C$#l>!vK4G7tGCPq!Vi9)c_!aRShk$@DwKPq#VfjB2Y&3z8Jav4hlW}nr z%er@NHhK>M*B3@mqud_L`>xBOSlhjtklyrM{;^lmc+|ejn)5G$<6ogR!H<;V1|@-y zMza4tO_NK~yg-A`lo&1^;lb}>&t_{o&JKCn+$W^4 zJ4LRqAGl#xcD5)D7T+xy{EZ5bu{#Sz80L9b^FD+(x@bM>Ij37@OG)?`p*9^dw_jH) zUk2Q-%FU^r`H3I-aUl3JHNXVB90rRkLjr&Gg2%w4C_;zMx+V@L=z`^HTEliLpdk6* zzQk^2!V5Ful43CTUQKFXqH58@071cX?Dm+&WKo31lVB9m3$^X2+`K*ZdN~#2Z!!Ix z&i0*~jIpt?DMqN?Tq4UZ^{!0+*71KJ2wPRbxMLYln3OBL8)$9J7^v5;oVVB0Nz)3q z1D_XJa#6aR)}9zrVpXE2zUH49_z)R8(W-bc{%-4>S`8~;)|r)~$ABi@)YMN$-G zuJM3sS4~`;3>CO&0ajU|Qj{k@WA<34T%>k+&|UxbrF%+=CSAs@t8(ty*TOqQfGRr4 zJUXU8V4d%zk+;0Eb^R7AX=^W?gI7wjG3CKx@q5|knq=!!0Fk$ zTFel31XQx&4%8VzTi4HOfk24QzC!NVI(Zxd_`iz#(LwLd=Z)^jX?I3iKQ*wTB~^bY z>ioBhm36jZ{jwl)rxT^*%umqp%s$H2nRFe-*%)Qo!31jJ&;^i219k!&BBI~U1i%kK z417(v-pV1c&QPpWxp|HL4_0irXkyDoeuXHy6bNL$1hq&m4-^L@W|3$-)Xrj^xH+%( z^r1m3!z)g%p7-FhF$fN>!>aC;|8JvR zTB4X1mma0yy7}G1$L>2i@XtZ*rhA3%w+0CHY%T0>4OBkGc0HE_KJLS!iJ;(OziA!6 z=3l+>J-oyF?RI?Y{T#%gzBBLSgL+`ADX2%z_fR?x*aP8vl0rFnCnpZ`!Ay>>C8LTpxPf~ zlAPGI;#F9i;6xyZ0{PR=y@~r=tmM*F<#y{CZwxM}VIeY$?0PEzZ#=%Qi5YMEQD__? zX{}r-8w;b2hR`wwnj%+Z%rdtc9XarO&DVRY580gWdMk6%{D_Ek_3!(5kWubK;{*8x zPEY*dRe_Q9A%#ct$VopBAcwDV^onbm4lci1LYH@e4$QMN33?XE3w)W~w%k({t<~_| zmV(jj7YWni1xj(|=fAwW*}#sYL(a4lYBVf@i)iIdazQ^kg2Hkk9=PH9wAFdgidGU1eYWe5KTWAP3U)asllc2?Z zSTaR7H_o)_6E$Fn#<>j|wg2T$0DiNZ{ZT-R5*HVj6h|4Y+2$Mv-PGvZ7=#4}TO=H+ z-4Cu7a%~kVF*L#)k`)F>h#9sANkr9Jqr8WfG~FuC<$3jV{@qMEC`}CmSN&@C{!qZCou#C8nu+t*v9TM&C`0+}N0tru z4;)tc{{F*vFM7XF1575Hf#oK^2+*>oC%$(tkO32qWkZ?FNfJ^Vz9+rf23SpjFLtuo zY^+rZwmwXf{Z z;d_YAVrZM{GmuzU??3hgJtr#z$lxN#eo-jL5f@CrFx!w+a5xP zHxEF`5Bh}F%8ATQO*$nnZO=M1@6MQPMGpmb(}Ak1!D8Nr@429<1KM|+R+*MHirndmxocp-Lyy5|Gd&g-mX?l=39wlb zNIU>SqX3V;M7%dwy0{6&wKY1qd_I|d259B+d^g({&u!BP!JprwPJC1-==0-1NvcEdU+|IS3BmxEU0ta6#Vx0@7_S6XL$dYxYau0Hg##Y_t3BYpx&Ls8xZt@WSn`e31U3J1Kc)=sd!y6)w}eG$M0Uz+xyjxtR?f=L z2e7Y!Al_D;bdPES6X2c=K{%}w!tUVP16QsJhJXMiYqq7IELpRYS)jy=pCBNc_gL0i@uLCY7`pJ|)M|M0Q7o&5t-cQas4g~>D1eanAZ}zT{UKWiCP^m?W9ehB*Qs{II z0}4=zCR(~5TJ`5L%kd-@5XDr3t@i6cW30E59z!7fCyEbR*a`L_xv>>?PyWZhm~&mm z%tP-gjanwzJlH7Pwn2EYXUaW$MB8fHdpu|z~jZs2B2*lVn%@NH|Bc~Pj z`Fwg@4z`2K^0jIuQ`}5i8|ru+*-~pBRX!@J5peRA7=zT8CLZIkjsjU!xih8AvekNIvt zT69+;CD*rlJD6uL2xVAUN0c42cDRMfxJQ3}(hEAz<^u)x@!uvLwtxY$p7eP-OmG0d z8es!9i+l04NF*Gz} zev+s-DKa%NUQmoR&ndg+^4}Uozq9YzBCC4(4vJqjzD}WQio+7_;)%NKG3Lk6w5#E6u_O|l8!Y5s!OZHVmq>?`_7U^n#? z8n_rqk`5}598yf@oy7}_?+Gz5pUx*oh~VIhigJ8v_qMbq2tO#b;%<$LmO-)o1Z;%> zdNiQu0bjvOdm}$AnDme4)wZ4*;d4LY`$366T|87Z{^AkSbck?m_WN836xzekB~`-M z69mST=nn&AW1Y)3<426eC#XZMN*hsu5yn#4P4??*wd&c_6lv@s*QgLFRpHn`9ZjH^ zDw(hPIT-z3s!~lcE8VJ7zHDQhQ=umD9S>34c3YR1slK)`H2Us}3#my9VX_%8h*kBD zV{Hk?1t{FX$P#F|3)~UxDt~76yt5MOwcQXMt&PHTDJwZu&kvX&zO_iLyPSyrk3I3=o_$SOZruzT>ZK8~^Ny zcb^|-nd^bvvBo&HI-4^O1U#BlOW`{*W}Hn@}RO%W)O3oc?ZR zXftr-|5QzME<)1bkgRDF^ZjI3E}vZelh4`Cjcop5C{l>VHued$r2-sjnL z*}A7v)hH%gTYnyxkf1_?k;VOeRMpU+NXMb%o?-FStq!O7E_ zSl1P3=0EoETNlL7^iztVgpj;gtDPp&IO}l9IPW{~POmt8_mFPCgex_?ol7f`pavp8 zOqCc!1F%>DC!8)QlM*s$nTv45+$nj(ISVX6*~7}F*{`SAp~ahp2!&uT ztM(iu!#HBSQDcY>ep1-!S6EN<#di7_Tc5X%MM~*2R;WnV(r=nx zwmZ|$me?K4@lDZrzfEUo;a2V9B9_e42;O!5ADXT@s>`iwA}ZZo(%mK9-QC^N-Q69M zN_PtgNOyyPbazWhm(+K>@B03@Yq_q-g6BEEefFN2J<~SjmfhJYU{d?F-Qoc6w%-lK z`dj_0e`oH*O&c9eE%v+h+^3P;^8qG*<(C(b!l3QO3%0SZ1Ycd&uS+=fXKw{Bq7?uA zwbL9oBI>ra7}u-b(nG{X7qY_Z)#!$BRPVinC9he%)A|oPGTjATy?U!my{s0i_S_+B z^XqGfC3nI~?V{GCPy5#_lo1h9@&>ZyTD^qJ-HG87X$v=zBHuph!KtSi;{g3X@xAZq z+1Y_hS64#+HUrm<_T|vW_#-y4X~(Bw_7ami$5x?AQT*z5(6|5c2a#L&?pH!K@%NhVj`ZMzEUb3f~(o? zlnWs~#6Hlf$Ias%qTx_3Vr1SnS~t*cVAwQdsQm)yo^}ll21D=m-eV_%TKHz`?ahreT@sACKSe_G zVu|HBTEmfuJfu|l#RFu{fVCQ^=S`^5#HeGdhprmssiE5vyC_isRT{DtmUwZ46+@WD zV*ncb6|}>pBCKAep^OpsufTjaP)}Smtc@o5mA@E%pRM!&MnK@%VJ^klE|n2wik83- zSt>^<+F=0rSrvfp@TQkoecMs+GBA}9M9*&fedm5b_N1xi8h;^gJ!YCLAzT%jE$s6}paIhX)LD|yH5%1&br_Ka!zBgpY z>4N<7eqKR#O>6SHY)qpU;rCl1k!&cm)^_G8_N9GUR|JIL>m0%?Iz&ciCL`;IX^f(X zHy`#kAz4(U;cF^pbYk-hlsCCrm-BbTl_IxyPG3HSeM^U4WDv15>Yk^lY8wOz4#DT1ru<-?kJgnWA( zsyTA$6Vc`tOJ8C0jgtcJ2V^jSG? zPAdEMQR3l}3$z8cS)FIy+>nT5A#eOGrQ*IGr)=GGIiA>4ayD;;mK^yW0!c-!&Z~u> zwExZy>rFmJ0QZd-nqyQ_i5?9Er92jMRFWBlpi0S9OTn)(vxu!E`4;16urn?kz6Zf(e$m23JtzcdOcu$S{KXpq1;Lg4w~DE+ zN!a&%qN{=8(MU+oC*-40`<{63F+ZRqhB(=q5(SJh3W$Yv24-FDun(i(LDi1buDrg- zN_mdW|3%owvPCyR0Y#6)Z%l!#{t0?3JTR_9?R{fAj zM8Vk_&#(q}93D~Z_B30r+P~w(nvS4I#NQ*s9>OMwxQ2yb7kDB6OMKV> zjt}$XR3Mi8bT;f!1LeHs=^oM+CIC7~7_mhlsrxH?AJ&V+;$w!{l-1QMIIJ6%>Gr$Z zbDHl2*M`V+1lx}}d&)&CVVU^ehoho!!<}abK)%XJOiXgQ@-OZJ4azh>#*kQxGM^e^TJCKQhBYK7~f!5s_V%w3}yJwsq;jrJmrfT7%a<9pX;aC2i z1P(sY0P9l4F1LiT(Buc!Wz7;V|F6fBS`$1>-2iiQ1H%eX#MC%_UD{dPN350qdhgOB##4 zS&wh<&3+a6oc~en&dHJ+ReI;>9iHL8L8=m(TS^aN#?pAkIy}3!zHl8vE?vtb}3f_+yqc& z+wP(*agoky?`}rgelXT`(fnFW;1UG1k`_IsCdh(Hd}N@vCtcN1#>kpS zi?h$6_JbHZ=kkjGKKw>vF($ePAz>z88vhIQ{fBuMPSc-pe1(3&$Gly`KQ8&tG5Lze zt*+Yo*NmZB(vak_Vn5+DdVDVvlqdz_*zBUEto-S&gw#00152Cq*+bqX%k`l3s5%n@ zQdIew$uueIx4Y9;6)k?Y>nVuVN~SDc{xxRATdCc9IwSC!2%=BS#90Bqx=vlTg759xe_Y^0Ih(_>We^D z)zd3s%C_)ofha>!oGkTFzPt*mXf`N3{h`GB!P(PSh(GXf zqu=&v<)qaom@1cBLS%wvswLe#US%J*Rg2v-N9Ztla{#M`ahto^c)A!t?Dr&BAwk`t zQmJ?tj`Xqu`hwfAE&Fc`ogZo2wmXCpEm#Z|NpYR&r-w~O9?&#*{L(%r%)HebUgEzd zbVNX9_xm?=^w0HM{_T9N3rV=2UXGD{Ht~CU=v%$(XCd@-7996@#rv8Vc>S=v(cSj? zW%D(+S+LAHm-kKJP08Jkfe*e`VmC;;!=G*R&<)!DFPP)gg*ApcTR|4GV&zn(Zj2cLOsQ%FH=Pp1Wvn-Txd5l7Ocqwg0MM*i{o+!nu7js# z@{Vtip;3~@R6(zcZ#Wd4ZD3108{SCjQ@B&^b&3IBzq&AGR2Ll6idln!J%{97f-0-dH+l-E4x|fzsSQ^+ z3iaY*>uYf{wGsZW;tb}Q17P){8&^zCKw%nHKHUJ_XgW<#L=HKw~&=uzJ+Q;qC z=5uHNr}NRi^Zfoz9_&?VNK3y=-@JZN&B}mQfA>-2;t%7Li!Ea)C@7%t$l`H})~TX& ziKV2XnmUDH8@jq*sVU}jOR3f^Y^;;3s|{YaPQ)h=$>xu(cgj-X8C1)cVZ==mB4H#r zdsmo4bOi!vbc1_P1s zFRPvp)pf!?neBrt(teY^|FEXO>`q*D;TgA>7_ed zNMKJTDCkZ42ztUlMhTomKyMD1B!W5#u42r~aO2@X^IAOWOYe8avzF{Y^af=nY!a#T z+m(mGW`4kh3NH?5AolDA1YqgX%51SU7=?=>2dm^LL3Df_i(IH(^vdnsU5zyn$^#E+ zsU$n|bz@Fc7Ln7xlL=5qE&89#*22-S)1sfHQf0*dBv|SKL&&7O%*@O}fUG;8h%gVK zkJak@G&Ic-^?j4fWnMDk@)gzIjPn(a2)Qo-jLl>4zB#n@IAYpnf@BwVIGM<7O^Ot2 zs|w|8qO0jjgkt)N&#w%NTEV6-v z5DR@JyPNZ9Set=YC##$di^1eeqHI}maL1eqYs?CRnXVp-vo=Z3TUiRYjrnt?ZWEmPX@rDp<#edh%E>{=!URS}D5uuh=I5Ma zoE)5@nwkWlx3>Q~o~e~?zp06a;Gp1qtm^=;PEArR^B;CIcS*VZ*!klPtZszeiprEz z{z@|li$J(ocsV({&q^-h6@=Gy7v=ka!ma3wzWzeO<%iRGt-0BW^J{*sF5-cA1AF#| zpnJgQH$Obl*wGs|Fy4tO5_L9byW*X%iUxU?`3=(Uxk1*IYKNH_es_?(dp~Yefu%L* z3pu(-m)C@NtcMbfXQW=O2>7LJg&DxMo!5VMeC$+YO)r|V1iqF<>NdbSdg7{V;TRm; z@?9r=%?drSUvWEJbylN|cG4x0v@XJqFb#>{ZKEuhjmyzwaxCg;PDQu5=j@vRiw#h2 z4E}UE3Bs=9R%dmU8TKVhkgHIHD7ym1Z3nHaN1jD zbq9d$Vn#`#6uB9*JLo~&KPGmON0R27pv_&1$j{;9{I#Z6Ww7R(_*5(9$lnD=U51nL z)r6BsLcBDt&wE`gg0gSa=f3f^lKhx5)02q9O6A*5*{k|{Y&50+*8==SKaPBq#zOYR zEd5Z(@BP)45jfHj^IInqhUM2{!!n^>uUWDKWv?718H1DNsE;m~ZK@Hf)9xZa3cliC z@x4H(VHrBNb@<%Xd7K$Qm&0Ls#Sxj6j`u4K{UbOUOq^WAz3SqcIM3B!uq8fMj=U5aN0F{bMK|BMW0e_T-P9_EplXHN{snNPg3pN`b%DekprPtu@xK`3RuJ9TS z+4T^W7zCDfz0ZB3ei}6lS^?%l&@Bv6^y?i&P#e&^koYz5keMFqu&NV5JP3DB82bmW z2=yyT{oa5$h$NhT1cJ_0clgc*zz;}_t=C~Nc85(k}@WNLQKlD#OEE>WtzC{17e z-`8Gv>Y=G`>%~l3Ijx62!+xfvF~$zT)}2M@`>ZVpglTQrC02lLk||CipK`V}5453S z86Z&1xq6uF*?YIqOBx>$5gr6thGXffy{oMzPEl%0QeiHw9FIcv5bRlg(jYB)WcL)f@`7<#?^P?Ga4 z5$E`_{`G}0ou%x!mE0m?@b6dMGStO3-)=~i-&(HJ5FGj#t-slA)YSyv^q)IUO-|N+ z#}(-*sL#u9ns>SOPe6W|#TpzOG&_`xj1j%p(bfgm{m0;S?7=+)dCy|(;UK_b5kDIvf&DW@84i+6a{-m`wJfK>SKO-qP*FFbz*vA0MUX_iiy zL#Y&zv-5*9neh12s?+_^#(R=E?5Oqcdj@;RLL8aJ0QxBqR-4Hvkp@Cfa4t;bet1O@ z?`l*IOiw3`1)`=^ftwoCqg0u#Rz~1<0q~!`Lc0}85ZnSFa&>i`NwMNK;(~r+hT&4c zdjW|xVS+5Fgw_N^xsJ0wHYnK|AvR>gpn(4K*w0pwOrj?}gC@>afOd8pB?a9BDE4Gu zaR|i(63fb(=wk*3#Non%)o3V^rCT5|6Nb_=GEB_P#n*{Glcy8U@l7O$eg)Y*mFm*x zKXe$p3|#d={uz)2{HTVd7>D3}Kry8Hg`%(Hn|8-y2gNPefy*m-&l;jPWbvoC*UDKh zMD%?GoOnFju$$Sl{FqxVsb+JW$-Z<}7@U)YS;*HvOJh37waOc^D`%{e?NRB2WY;%0 z#w#2^9GrtZwOs=6S z@9yqKC;C6|x`Suy^{3@v5_s*AWbs`PTopsT%(6pdr-e93{Km)2Q>9OmHP`+sI54xu z6?V&7ZrA2nq)zdtt9z}jDfgIJG<0(&z*lgFr~|#`?UmXClcd17!_$-x=-OE6rrG7~ zUpKuweg85q(0AryDr~>CJDR12z$CpcEZ9~GvI-mN@EgPMOWG|{CGJ6?#nP84vkx5+w1r1XQFTc{7IL_g^3H!3G0p6>l?QKFk}8`gg9HT6HEoJWp(u@ni|0 zv3nj;ju8a;AVw9zuPU*WwXe_+yZUK#CRt)G@Yv>;ld zouUZ;Rdgg}j~$e@(3B_fXtgF}%;KtaSt?}l^!~At8TzcOu>RA&%~rWXSA`3inhfYt z1A415;w1KNfCi|JLRN19G_b7cDOklzOH1l@TJbwZ870^HyzwCg)Ze~+8$RCwZE#2y zSf2*A?3Hsx(^6X1VixhujHJY^E2rC!0(5kA(}N$GnT1Mc!1$ETNo>9N22kc|kgx;e z!^4r}gkl^ai`5ksfCH9s0}f0{KN+Xc_8$d6;@_KcV4plDgevhqjJSB10kH@y-@DAxzS z-FAF2gW*nT&V9{>eoz#v;@Ua&8TMLW?sl`?w!`51NeaFAv(2;q(eOd%LDTc+i)!PK z4bc^wJR6P#ysnAULqlP8SGBp)JOavW>Ev+>^T6ieHsDbV#!sH?cr_i^Cd@o7VMLF$M5aKp4W!E2(ae@~i!L*A zHn>@0L^<}8<90%H2TP96^5i;*CSl@#+MSrza>C-(Xv226viQ8vX4qNelU2$AVpud| zWkpn@j$G%v%N(=@W$9KnmPL%4z*^>Bo};xj`4et*2_{Y|*u5%VfUB2`j&0Rxko5y; z|I$}4Es~=fwxKu6?3RLp;ARwFaKr5f3p2QDixX*gf-z173e_fTk6C>p4e`+m*fCi0 zttryXGV!`xZohG7n`N4?CdrbhE1V`YRDc_5mvqFwHscJdV4X-`0qE7r=SK(NJyA5_&5x-DosZce?oni4Z76v$IZ<=gxEj-KIt$9KSTf_ zkU88RU0{^~jPn3*^s^EKN9J2)AZ!94Y_U-uIKep)AoLM`8QtPS8ZbfCUjX)Qpz2Bc zs5h;o${TdVnQuQR*DO#3rAmoSyX@JdrKxzT~-ISzWh8fbGk zGEDr$){O89O@=;mY%1Hl< zmVX#c^)YD0fQEI?IbEWV1Y2a=JydH0!i@~+VMd7wwUQB)iK))MnW#psND#{yfSb#$ z+3d1je8pio@O8T&!s4DAWt)O|x+j*mn}dfd1v>u2W?@b@sAZQ4EBl;}~(f=&Kj- zxZDeRa6qgcIU4sF;x9>`O{!up|2`M!H+ULFHV-G^gfE|vcyWIT&*aZ7B3DmsFyNxyc*6Ht3TqvO9hi+n4pi@ zY+n)VOlee3**8&aO&z*I!W$HlU`iB7i>sA#X3Cf2p;e}lYW@owubcx=Tc!1^-3o{m zig)EvD$`1%u#?IF93F?}v*u@GAld?BFYsviXVSH#?Yl9=i~w|b?lr(|6fpRE5JoHR zj_DKBef=*$;11NDzH4A11?&jS91bsg3v&sd8-t?_t}T@~@>yM!_8k6+-#NM{xF)Q zcJ^tt4YlF%%66MUNQuaS>4iRu_s;mt3#&g?`bx_{5`I<)BO`bk5#D0I6B5RaW#3EM9tVe zi*UNVzRbvc3Udf2wdlmcP*(T^e( z@!dL@;-B16UuPsYUlfJyG4L?CmUhMsbKcOw?eUG}lK8>71j+n1CnnStnqg0uCf8|I zQy*~Cmwti4j~`A4T*0L`emIGFy+|#oNQqBo8?mPVz!Fqz7K)c8Z8iBmfeP%-oR~;_ z=?WUYZ%Wwmx+ZfH2o=F*XhBn8ZsL&JbLLKmB^ROIx%g-DO3%b38`b)~Bx;PrNdf2% zw${LJ2EO6wSfM35Em6(P;rI4-`cx$dfG-JsW+G3K0uj0kZpCw86#OhxOkT?_C^!K^ zZ>B8Omh;urQ)%fEVadaP1K_%CEls!(s8ADzG~Y`=3(qm+OuZ&i@et|WvhA7=A` zDqCUnv-k|VCVv9K5D8k8)V2~zTrjboP31l~%35uJN^%h$6IAd|r+VEl^gVh}%zcPK zay8mPv|V&z;B`OwoEu`2ZvsBfo_xQChhZuz&|(HWU$dLeqXeHZs%mX|V*89@!lp@~ zD+D|q1SAzEE>aH^P@=?J81c!_W591LRXPIzBCs73zXJ#x(007M_-hyCS>fq6*^3k5 zQFXXs&$U>!mLdfmuzdW8dE%~XzA7~-@E0b^m56MfnbQ_0(HyqGhy*L93Ko*FKXs`8 zFRH-b@jGQ|45`wZWLl@h)USg3Y(hw>Mp#G8{bYt-Z$>#r_R;R?xLr+(aJHxo3;SuN zZHopmc%%zlO!jOp~0r*r#1bOodx z5Fi#`zh6Ff@1CY#{i|R(OPm@K$Gf>{dVbGo*|buZ-peiz1q}`4+J#e=C@}+$`q-m& z!xr@fr}*6?6TQDyhC2)-P2p{X!sIB{+?JUvq0G7UR8BKZ@)T!z8bN z!^TqRC_7Tdz{!2r7e1h>q!oCx&>gSa!yHoKO~iG1%{>u9TrH;L(zH@MWhqr0Gdy!h zQPeL)hgSiXeZDDzBE>qU>1&LweoQ*1Ihz+VU**aJyk{?;qPMimLf$=)>44ckjhwaL zG-{rnMd*tR#q=Ral8{5wfOvj>28|~WZG*WsF%gwu2m}QR6Z!zL{oQlk(ykoW4-^8m~&7G{PCEK{DoFi`xpKLDo zpo&kr9x^vIeTs=2NAASv6U_x5>Tcy?*Z+n>o&GtFSJ(X)!k3}kzMqMk3FS`1{l;td z;U1^k9o(rvizWTO^1y5N%4@z#SCTS05uUeLg@)SJl3f{@KmNv|lMiM+Xi9+Ej4YE|3DrtCw$Wdf* z3Lg;9+*@c>31?z%RL%gVwlW3hatj9E17z=_6qS~7&MZ#6VtJO~?S6VDgJ zm&bPBK7+o_-iX)Q^$#4O6{y!(|7hZK9gP&m+fG0uTGY4DT5=>xws;nOCR9 zT))sXG=DgKh02H{CVp7-pF~Je!0%cK+eRCc?=gJIjooD}YO+my)86Y&78wIfISQvf zV^LP>BGj@V8v?)gj#hT|#bSwK(C8f~60=!e{CrF`8V9m_Jft}y?FxeotMrtoGZ zWC(W!Qnr+s4d=5U12(HDGuKPqI~1Y9DXlr`Ia`imYe_v$b#)3S;$awN{YvWSu{LcT zous0e@3)a@v{Qi;v+Ua}ni?8FUGu42r8OxFFB}Lr5;QJb~o5G2V0ExO|mU|X(V$1y8`D{ zZpIAAngF&^r2&|ZpBtdJ;r9I7`EQgI9Xvm0K6TG*Y2l_#jkdk|d2lt2M?tSw@PPp< zX5^N8!A;x1Agu{(@F5*FF9{cnjDx0p5q6phEefS3wk}uE1f@_sj*$?x zF0j{bU6QNk`I}?P@jY(Abs?&;&choXj>cSL!GKZrjnafFdW$aE?F`5aEb9DFznZ(z zFk)hHqY5RjH`L3Y_0Xn!;@gIUzgWD6Xog!qf~LeL7$FbPmQA1s@oOf zqn?~`BK8VKq_jg!E|!O5Gl{47WL=4)1#*+dS%vxb(ImXRT1ihP?gee!c0 zZEc#YaGVmgdM$0l`6&0d7xLn)f$r`=`b;p}a>a|X<57T{h_3*phUq2XcAZZr{;~7V zliHchO=tTD&qZPSRq3cqYTY_>=`;e}%K}f{+gd-qI<{IDz7e_Y3$ucYF|)xDC*Pvs z+gg4nTe`*_iX=>i6sc$on#fRMly^dW^vIr%$9`wkM-_h_3LlFfA7%Q5AFZ(i_?37fXj1j6Gg~@rCm>$v`(J|A+3lU7uLJOsW4`Y z$p4UqcH>dil2EWO5*Z2fLf9{%>6aACa}*gK0VtKtK?m>wp~mhs7=OWy=+>7dQ~dkx z5ex=33w`YJK-mldV2QCX)9Ya6v8CtDs~t9;W+sB6fK8<341CQFFvkr_^wr;Ch0B(L z%>)Ff5C)0ig|HDX90Um~!>fq=c6eu(&l_*RdQWbs# zB!(kk^!O#zs0-E;6B#eg5-)PSJF0!XZC5BU;AoQVy!2`o$gpDG6b@()<6b-@y0To5 z0MXCy)?drZ8F(MinTWoOinpx|p1Olo8L%`X-U6SfNsWPn6k&~TzA`l41`u~t#qw?@pspRM4y^^yp!z}n4C9o0OEgECw8%V^lfnI_tvN_qeOehFzl zA0cwz*5~spLUrIUv(lIvT&~9m7@w3D_B=QT`I!{$#&%?(wmA#z4cTP%q?6(S9`j!b zvl^D{+GJwkZC*q}4{zyPugjcgA59Ue-VAJMBVCG$eci?H*|0bYaxc(Ne_cFDc#l>}VGp5}9G$r+&o!`FglmpY6m~6hTq_s z%+5rc(!Fq`P+ss&Q%t$9MqG+Vn?B%E0=Z`qFnbhZnHjWeN0o!lH>2d|fJZa`rr|#-XfSv%T&s?7KrV$rGU1Q@f zwF3b-J>p*kc=j?`Bm)X~^vb(%Sd=tKb%U_q%@Fwf;!T8$7Oe!V%$0f*|LkeGlGViN30!@v9-TLjwCR z&?R^0q89?02~Uz5*i4Ss@o)8{Vh2;9Lf!y|+Pg!cW&~`z`&}L8o6!%UF+*lt}vWe+2rCoE5(NjVkN+{ zv2JK2SApdw%~tDUp8eLzry+&(pF?jn0;qlv=6LXhw+v7A|Wd`&ggn+QDDk0cu4Yh?{6RdK)S{yG1@=^jstk}V4OXw z6Q{Fw?TxS*Uj=%@<_?1)8>hmD-^5hjqv%gv|_89(uI`k(a6 zN~iFP++Tb17k>lE*|dY20%Xd|pz7_x?%h3l&A(cCugUXS#LDI{DaT}OXa2?Qjav&H zx+r9urN6a2+tRv3m*bl(n$w}ejbuB)I=q|zy1@qWx&g{hV`?4sHjM>VIq&At z@1r|0R9*oDnpNXlaEN`IE;Pyl+K&@Vv0@w#o;Rl_1uq31Yc);x##mmOJT`i&IEmEb z5&$zLl8?g1#%A4tk$M_{CH5IcVExlyq+TVd@D;FlOV!8!uLW?{oHW@w!PI;3 zny%&gqZ4FolJuiew5)cxv+T=<2hpDaiWq~Su?A+nz_$l%Eay%{7~_1asQ~~(s>(1+ zw7(A-2HZu^E8EDIfP)%b_P26tE4!R84}x1GRJprggRxWS*dz$cX0}-*n&!{l3*Gh| z(^Z%MexYZF0V4yw(|-Br36E>!TSUe;Q8!HA_tExlS=`j`_^Nd@d*DQ>_JU;@w#@61xLb?3# z@Q}g(ZAgz$I+9O^fw?`+2-S8J*?uA#4HJ#g_60fulyvEgHG#aEl#PuI0Mjrvnf&=p z(y~Dq3S}|?)-esieqdA4Si_2)+>F?Qn>fnPuQ|pzx)K+l7F^0Dy<=!01iQfP228Eh zrWqwXU1sF6JT*x&^H*wITd(XLTV;WN?*5*XJ)sD8pRsg<^r#?s(`t-j~l~AR+>*O+o(E7wYmu`?}3fU40(<1rl(kZNpSw zZNn-8N^V0cp+6-gDo{E;?`#O0Mrs=rvNa^^S!X}yXwF1$DDq@$e2iu{G@9l5%>2%Z z6kPOjGrPD9!t9*lHl|^L8+jk%l31-B5BU zH^vasJ5>5&^K@f$9Qnt?l;Pv&zy4!q+2;OdC-^`16rOiB+mQcjFg~JLDjQ49Hqxin zEVN%An+M+uK93kqwVig5)nsj<@Lt*dsCmZiT&C>1zK$H$<{PMbyfu>B1Mpb%JG2?0 zl}2zQYlbGo-bSj3MdyK8O>F^JtdK0=i#6`!ZXr%KWl)0)Li?MO>hA!`!#&v}zHq9}Bte7a&9gqpj~^F-3T>)m+ZwHcMv6FuX0@L3ZW0PC=vv*|swBGm zQ@HX8>z|-Xb3J>se5X!Zu4^em~1>VC!Nm==>XB=JgE>1+BG57?vxu2T2xFpLI2LmJF z5v!^jp>UMizPN%F@i* z&3?H)Gt<6RdJa}(G4eronCGNstz_kg&IE%LdY68|q>XyFA;JKaOiWjTwX%ap8?PCR`5i&fjhV|69X9kS$ z3vO;xy)OBz|CaaF?I{mvB>LAcK+=ebJ(Gk@xXa2luiKS3AbwpFR2kuW@ERVkYdj;2 zCw$b6T?%o<`)Geyg*r;{+h+}U7zyP5V@J;JxVqjiPKRtU_GXY02GQ!Ru zd$+zXQ!4-Pw1tNoT_8mF2}9YIesUE{bP}bUn-H}>A9}VPG?av6#SMUu=%W?zXT||o zYf3@soOQVw6A7G{6;OVaAry!oF%a?;t4Np2nVH$N=Rv3V@}ot8Qcg+>#Q3B--W@rY ze4t-B())L;&E+JTftVSzVcRl;?PBT_LyJ2Xwj`o}W&_CG1EO@3_Sla%Kld)voMH2BI(0YApaid6i+*q*27AuKMz4iDym03Q zVdaqLTB4gK5X|3x=V?^|t@`JGjfVu%pegSJuf%@}d}y+}O7_?g*9LV*ES4!9|38_*@>30w9z@U=D*b)vQ)3L4z}j~cy7uC(VDs9K!&;36oeL8p_$ z(=}YLlZAv=y^1iw{@2&h-=N$P^hFhIKx=@9PuTTG{?m-yrx}Qfp2_2z;XUUcD|YP$ zHEd3PSbw5406bTRDv}6AM{H~dg2_uo~dX=ud>Q*S5a%>E@Mju9m`>E`EZnwc#&qt~ooC{|@m zUkq1a^8sG^2OiOb7eiF8jWEm`62^X*OK%c=Vcc}I|K$hD^du#gg4qw0kv02DC&rcs z#bTAOCFO&8f1d>!bmTF^0ow=csX#qTJONpdO)K)XTK&g2NeZQNTr}3+F0ZdcD)bF$_0#9AWdnR{zj4L;A!?$yI>dp$DJve#pvpgkIf6@{6f27RL z=5;S?HSzY=i7RT-VF0{74g%}PkHr~pk^*UuOBasUSS6nPp!cP+cw}dOyX^k*>g^#0 zIVmm&3Sg>+hll@GRaN^(R>>|6r#bxImt^uS*s=!2;cr*0iGBiieTfwS@WHijJqYH4 zq!Ds(8yVC{auHZqTgyCPVZyx!r&C99fcLvfxlsmXxUo{r!qVcRk+*jSFv-Ue??NEz%<>zp{-(kKrE9gK7jv_~I90sY$7;Ps9WbVXW$#3s= zy{&7}jVp-P>Ibiv8%+fzK}X(~hAXuRf={0_x3If9f7VPu!`k4rR?~H1&akJl0#hg! zZtil@_Ag()q#jlmaf8=bECkpfF;ZdH&0=O8Oj$HRYn(yqpX_aKXR!N@besS3uf7m> zUgGr~j62k%c2iU&E>tSDWA&G5|ALpU#=E=qqWJ8@!~#K>@R)W7Jb+}($-*aC2I&GVii^aJbktHhE z0skGfXcm^0c{lx$;{oKdl~XhXC;&ho5yVLpf{U4hlk>up4<}t54u9f%z_}>>IdazR z6HW2h0?zyRnhLH&W-@u4sfWv08Kb8^k8S$!Ol5MpxDx6wv;= zi#>YF0}Q%7pH*|dnrdwn`P^EyMzMFf{^jcOK4ARQ@(?Mr0}>noPuJfcs*)bu4*xWM1n%YHNYK-`|5=r0{NhsGQ@ZYM?fDodj_+^msqo49 zO;y8Z)t3PzCh#L!vRCj(;p5|5KS`NQ0RLD^_J8ygs1@SZ-Za|>i}NTiTxm6}bPNm~h|dgE_cjpZO2f&12$Z(NCTnqSL>WhdG zqJU;AR)JkE2jJ@`hGDM?wDNe=h9-uxxQirDl zjqYh_(N}OHz_klFhkt0CDoIGu`A38h|1L#h6c9@bzOjFopdSv6IGGIXTu>8%g}dS$D#|Gl#t{xKoSwr#ZpZUW@Rm@EULKa1a`&b$ zDS-J~&n2W^K%}BzM>lT*AyA)!HegPN^qn8j=YdbW9L+crw?9yqdM$;Ckn9zLfclsL zJVOHqV;nzsM0`F^PbM2m_LAH05BH*rPzaY;l5Z&mUtjK6IC&pGaJo-J;2=QBP|)Ts zaFM*DZg8eeEzqK;Wd)6vGUFF;pMz&tjG;i8T%oPP_+`!;=+4xs#Q?0ZWD87-X;NiC z)day)OHB?$EqcGSzpO)f-bMWBKIQ&ZZ)mU?A37lT5@+Z#oXd%#@Lc~40R0shCUxIP zlH=x<8h}b)%`trpzxLj~@f8GNAIP}@p>*nT!WMX)*Pk5Eph>>XAX1%swt}Al$hs>l zD=RAJ4qdq%H@l_Y8{^QTH2^2?$~m@dBIiZEPp`#(tM}04E5TXN+p^rRUC_JNP&2e~;B9uqS%Hw$Yyb3# z#N^3eFi-^sKs z>RSu~aw2j)!|2v}os6B*0ILS4570Q^yr2OwxLFoc<~T_63jRNyzA~(;1= z=&{r^EGLlW?C^K20P)T>`?9qn9xWvS1k{KJUkm}n;?|{KFeMW8Jy2|3OefC?&Nch` zUF6JL&ts#<{3{Qgu}>^M+Y{db(-(}nCfQ!VF5Hp9LPfbg-DGm*Q7qD$SFnk#aLTLE zu^9QQMNFh5VS5*k`{~(QgWG3O%1`sIb>n`TctV<#>=uPG$yRxzs)ZwP2Dw5D^21;} zf&67_YwOP&f-t56P|rg6m?GM4@4^atO$X$CA;TRv1tq1zrqa^Va==qX(pPuq+m;-k znE7~yFTOjO>qOb{%c^Qc7C0Jm4LGo{cG4-@#Ys9yK`1sL?wp*6oDf`Vi-ukaiz2ll z6AK5?Qy92+oy3%~;Y>B9KojRnx%21p>;Psq&_)p$z%vE!#Fvti5py1xHsRZPPBOmX zk~4^g>d&KyIoD5do-km~@!22KI`WwZd6T?^iFdK??{CGKBsh3-HH?&4sJ+&&aC5+5 zK$60#co0;7d&z%);(M-+a?q?Z%o`+`(++7kGoGP zbRQ9hGX_S&KxSCU5{dDw__6q92;=uJ6_qyJoSd-YE@}^bYDJ^_fmAfp{Y6DcjQm+bAf-3KhIyu2L51Qkl%T8tUUhDyRpxIIS3Iyyf^RGDSfec+B) zVqaNfV^r6oY71JB0YfR3tVr>=C2>&8^zAmTOyz9Ml@aUC~OC5U@Q48(pKqqBRxYP z$6(N=NvP3u7;+Lg`8E)15;UmEyvw&BNosSFTp5wfdvRFE`Zp1i#pepE(!*zEI5UnD z3+35ahYY=%pl>FYV~q|xC(C^(*0NVH!}pp=*INWULzusEr^?mMTm>x&b@b961T_;> zH|Rx!W}LkOK#UMo1OU(x;}n0iPXc3*~ZfLA|vlQ8b=8u>rvDxCbpw6oco| zt8Vl74>SoT1@7*u%r@56FcgF1hgq{EKgzah>ZK*vAPc=?Tjx38*?VZxdmM5%CZa)h zc&(3e*Lfz?k9QO!5f>Y;-FDyvB0x-9~d-g1nrEAdv zZcGB43}QgFXx!R*1!SbcHFRNsJP*2OS*cNI1UT^Ae(f#kG(CX_=J<^~b`+tI~;oxan2`iKGn3 zgo~?<1h3mzBeOlnCzW1^NMf8?`55x44$k&Unhh&sVhXKabL& z{Hx?xko!EYo^Zfi`ZK$V>dSUBJ9m8=2e~nt+LEHEkA2I(#VJCbR77w_UKHp=YD!#3 zJdRQRyfcW?Lo2gAXv9i zU;esUt_2q{mU_n1ZAByEASU~ZD-jsSaM)oXH0CP6iZqe@3iwJ2I;TD%ipeMsbXx7& z7*Lk7B@(EP!rmdqxD=8P4j4^FBi|-U-3c(3!H&Ft_RnRLZs+wd!n(fZ>GHhB@D*d^U%mMNmLh7X*OO9rml3IBzvzf zpt?_!$=-F}9h^c7Zo51kOzma1_3(HIIQ?vc*Awqk4v=2M&JIPFF|n_GagTMQfkD#0 zO zXF)*i`1trv&-d)!ZU+XWx9#}RzpPy<_bB;7Kz6IU#SQyEBsp@cBC~P8!6o2Z{!82J zT@PL&gy#9QreWHtD)24zh#l^K$ftCAn@P}muxZn=6R87=aay!KZ zb=W(l4Zzt{n?y((=H4oU^B7$LNH+rWQdHaY;K>VH@pQRiog(|?ve93i-4|V3ls#W{ zXNUP}8z^`Zr7UmouS3#*tA(yuo(0XlsJAu7DxKIU;G|}JX3{S|#+YCNwihJz41rl* zGRnKLhQpOM@cDQuz~+_pI#V1GmFbR-mVxLoex09I{)41cJMvFep?^T%99?JdcT^k&0PAnH z3>Euhix@$=E^zkdt8?g1Ajk2)fXcdBBXb~;0cW(+R@1zcBHLuc^k{G=9XAz6jUk+# z=}cZm{aNHCx&_^}s9JaQqGt)gRK;Vz2KO=_XTdiBhY0)+6KyMsg{q>}Mx^|Qk_R+d zy$6aRUaHf85P6?0c|Kn3HycWO8TRU-S4{JrCxZzlWnQLX+-}4$< zIe6dE^D7!V1_i7JBH}?QNk~LgbGDL#4(EQKx<$3Tc_xx>20spbB2W}T?I4>$8reyB zOHAQyDW7dZ)JGal*@b{51gKr zZ40hHfP~cwer&nc*w4Rb+5|Ka8ZJx;@dA~Ahlnsw`cnPvyz-|J(W_52rlfga1t_45 zC$Wnl#AV1)#_m0#iZ|9N)+l0>u%sGj|KbTy7&+!78|P)*E8R&YL?194Jc=*)Z^ii1 zr(=G`mo#i=UA3dZRmGrt$X~6s{&;6%=VaUqeReZ&peRrWg-pQyE5X0zK<&nUllgNE zRf1&tWQR^w7CviC?Jvs;$lwJ&T&wseq4Fa|5D<|RazcyA!WUoYpts6|y-*|k*`sF2 ztc6?Oa5x&;=Htn?815g+EG*<;dWBIN>^3kL!S)Tutzr0%?<9%tBABGvDX>Tmdz;t^ z%?M^s7-nm9lp?*JXQ}4c?_XTW)i7_w!3YW0>IJlQJJUno=FZDX2{^1j`6`8Oeqnm@ z*`;mzJPNfhkay5;gU2c{aq^^@H9NZBQ2V)OB9`rx%bHD75G>kqP`9V<-$VYc_$W0V zmVYT_+uL>(4^Pvda`kE6Tv8I}u70*NNc9U^f;h8dN{{=>=}&@HSshmT;b0tnyn;Z= z02ctjVV}WM0ogGC+`F^~5QA*;?<$alAVOjK4DdlByS@hhj^pAN!v(SDsnM~d;;%pw z@K7(LARa-tr;X@}9%}EyY7&yFw{HKV8WK&aN{Q_LUK<;`;T=(}jmFT@NMe&BP5PU4 zt069r3tOGW*SGf2Y)eyAw4~GJbor5KI#M5iB}8&73;+CEli@AK8^W9q(Cy*lsqEhi z262r70@3JzBFl-08#L!2rXjlr2mv%(pM=auF_P8pLXFF3nLK!+se7D_&mMgaQ{fCJ z!$O4)QPB<12n;RM`I07C8@1F2Fss3&S75`V2$$pjIMx7%);kA3JD)*!s*<3GW)<_Z zp<{<;p&JWvyQoIMIyUA$fFr4R)z`xF%hlSiXJ(I4k# zGJ$HoPv<9R!NUKm1u$dIzNUJDy?pD79*xT$DcO0q*V#&sSI@WL~#;P;rER1wLUcd{z4XXjr`pa97BQc-lyy91V<;n$GzBn$51)n^uW@Ptwapc_qe< z3$92+MNO{aO@EHBjuxGrX|1lf3hB?8M_jxX{FU|(kGl(HP73y0Cf>Dyx0;S+J~gY| zk!OQ(Q5J{If8nyDqyS~wAEGc>>m8cLuItBhM8x@Ldjv+^6A7M&8jtk!S7%hieXFuU z;tC2F#~;SF{)3}u>ZPc0K==fQ+Cg?GKzdYpxQ$l7`M5(Cv=JC1%ayF0wI$qLd|@Qch0D=VWSUb2_O&OQz7+c14Ism@kn zb5=LbU7$OA`;lOhWV%w*uCEVf*6_TiLj^y=fY_Xk2$6*U?p4U&_*20}!2rkSXL4)fNf$wkF&APWC{wE~; z-3O@T(V!ZGR4WcFT9?ELg1{u0VR1tlhWz2O7;7*6!z;)M0w}W3efcYBYm?TU<8iI%$}OjT`;vLI{TPlJ)3aR(9|4X zebn_lM3M2AUEF8yr_KMjU`*uuDWI^Rc>A(p;a-l2Q&#D(?owX!-dtSlsLndg=~TDQ z=}u=;$l1S;S)7=4;kK1pYy!J$AYKT+3SSB>K1RXtI`kxv7RL6#;~G4%VFJ{$Bz1;3 zN{JNs(Er2Ft9XnhRhcc*0sEngRSioAwyu5!zBp*Fa3`l^12)}dpI__FK+!O@D0E)a z)6>6P_&BuM#u1@P-t_^~D$(J-G%uh(>Q)w=1bi$I zgYy>#Cj(h`KY5aIKlOjur^cM<&~UPPdY*nQ?|L^#=hf6w`@55o#zkM90`ywb#KpNw zD_?J4V@VcY251>TbkW6Tj9Y?_DW0ml`_nRN4HOpGFS{dYL}WE(ZGS(Xq?%%Hyu%d* zcXnVtXQT_D`M^oO7lxA)hL6XUMpu5oerI6I@FsYh&gl(m-=@>{PPD4ttCxOuB`*ao zs+4i%)}5IYYnMC28-Jcxu`QsVel14UsOstreU6cr*tqCWHixm5Oj(UEX6wr%iOcz+tH;3h zlk~+S3cN+4OIcH*K8-QDYa?>xsZK8?p~x zMFZp=IHGy-3y;5J==S~^L7@e4YPcv&3QNDrj3B2)Cn3CDGU!ktAvM&(cFyTzQh~+t za8-SMzh`-X=KTlzr~*9YiPm&|_5#`Jr7FDI?$fr%ikmdVX!|-gNvDlMNTx%^9zLl( z#tGsT5fot$CXBQP1FfzuJbitKSN^y>vqbEm>R~527pHe!wUvm_l^$1+*Yo{f@pdoQ zv(_s{UpO7$iNFZg8tN1+4^A5o9-w6?X?-KJ`shHjhe!BYOhXTv ziHx5#rHh@=z!fXlCh`>OEpEMgD_0nkP4`d{&>48$zt?dNJG;o(Sik^c> zWzyPq{jzBT27@6(N$?=!u*4TVqjr(a2Vu=^qe& zPxi3(bRQsx9D5wYtkL!S37mzyDwf6b_A(F=tyYjf1X^W=_mb2hIlu4?%|K0iNZ>)P zdONbH1$L)MDT!1!*h6qw#8qTfDZ)FtR}X;KgG3B!XUV_Yjx}R7W9!bqy2v#)m6aiX zmRb(5j%n3j_(S_zQC&m41VqNmPP8;}_$%T|FiiF?fBRbtugS>zcdn)cBiihQi0Vk@ ziR>55b6G`@ozrnTj*+R!Tr_v@|GyFfm5Xl2p1ZX_Mcb%&nBE*Vk7jwTV_i?qxZg7H zzCr`6OMXsJo;{|uck7LcmKdhw>lu&WLVl!*MgU29e{Z_hfgA}i#g)}nkT!zw$b?#$ zlXEYovr8=nhTQSn2&wol9+^uxZDv&O+YjKzB|#&V)u%6c-za)&!9xQ@7}gcXnonAz zF!;|kIuly4b?>**dLxS-eeHp}zW*sWdQHpw)kTZ&*>(^~yi z;Y)u*ao>fwNvsKHe_blHa3ZFfq^nwaeB<3jay3ctiyMJc+cv7Vl{mAOPMhp^YdjJ& z#V&OLZry3zLi4(rl4Tp1k+NDRn?5lRsthDYoA+68TKYL;-xozzrt-k6xY^Of|J|g- z!FkK(e64pvSXJwCU*b#gfazz-3JUpmV3{@mkz{&!L8-}WkRSJA2`WUerma>H&fYO6Pnj~|H5yNp`t_a z=;N9*YMtHUo+$fCnv6;v+5C^_*`YD=x&l@L3l^f#0ke6|wejD#V~1C(Y-AV+o~M&U zCe`?h7e0Jxn_SLxTP!@0g{SHJ6U=e5pI}SvX?2MgTX{*5~mQS z&qYYs?Ia3r`#9D*x*Ao(avylPR~xIJIuM#wyUk8E3#|2b-j_G8B@Yht2Jr zOioYJB=#{LK~gd`AnpXJ)QC6#X=c7$l7fywtq6UXroi0svJ0J+Dj8(WczAf=^k2rK z>CzojH`HRi7N_>2q~8j7TU$$vC%(QsqOKRMv{b~{Z~J|Xl%HmTC$ge~7nV0*gn{3p zj$59NlBDKWCkEWZccaQT+-Y?Xj#i(x(~GnK4Cf*`_s)L{E$`X`ah_Ly@4oNtpX>%_ z65o}C2Q$75Mqm9&g~DN*oZ4LVJ)~2X0orR8!me|}2z=aH5yW=1C6y~RnF)%Q&)8cz&9IT)_$FX8-5q5qPL@sgG$L)Fwk ztg>IMk`@#-u2n_ur=rqMBLl5H&hHmE z>sWMx5h(t6pC0i?#{#ELFGrQ}MOCeku4j}+Y1_zCJ%^-%g=Ykk!gIHbH`V^yJnwT zn@WCecUygOeOEu*-ZXTx<@J}eo_Oi>7D`MbzNfbh4eG_%@v62u7f%-Uye1uPsN~EN zEOZEVN@{cu>*%i1TBcE??Q3+uGb_3_?eG<@POOh<1>oYWY(JIsHcN;%T19Jr3{zL` z_O$#Xiq@?Y1gt2-YbyFANh&2GE)?);VxJM;3vz$&i+YTd=(SXCguTg%kq2vHXL&nW zEihWy9D6Tt*Xti}8h&QIolH!B;VlC0um-)Ir?^wuZy%(S_I*>w4f`k}x32+VAsa_b zf#H(BCtj6_LGLZgJS8G_ote!ro8uK)4dfdr{4MVlPFy|MV@!9w#F-rv<*0q zb={miKH=g@Uym-@ihSlu59-`7l?1^9U$!-C&TpCFd5{`x};Z+Y1<< zY|k*=>94c_s1Im_HyrM|7m%!?CK~=;GMQ~rHs+f~PxVIz&m4gS}oytG<0dkoITcoz48{@62))FU?vSTWi?a9-s$t7KXFTDB{Mo?KqF+DX4&5BhA(U5Yoc=!IA0qpVvsPYaA9z$jEmhi4ZE0&y3pC{;ctGa>I}50vE6!&#)w=0P6nGX zb9~kNYvoA4q|(QYR(~C(Y0GS-v~C?NM4lGtvyE^+RVR{iw4t(=WaXx45J}55P0m%T zm&p@bTFD$i41r@9B2VzoIMax!vXf7Fd(hJGbE)kpqf^N#BXJ$USP(z^k|`ciFqt|v z)SrzY6WmV+TguDRyZ&PFy|e`^`xGMm%L=*#F11RrcqSB-k5fL`red~kBs z(WUDg7!kv}p8;KRRx>Ky`Gex9I>oC67n-gYvl5L%Tq3CXtt%b)&-QETWAHy~`fEeIum7pv9=WR=^(+f%eq;ml-9ALPLdnlr%J=W0oXbW<`vGq2= zFF}RMg-TbbYO#h-V&dp!WMAD*FDGi1?uGm!FdThu=%IM`y<{RBVCw_wY z7j*!WsK$L=i1fx4apAY%f66V`!A^+2Xy)P(8bTky{?PO~DkcAuZpR$4W1~|Vi~w+R zJpazc(!Ifv3WZt;{|4#%hR$B?1I>Mu=69z^N?oz~3j9j$D_tG@ZuxIujNn??=ooj} zUZ~o4TzrI-emZ=jdeLyxp4eLV)$WQyDeeSU^y;~<$qATpsSo$$8f@Xa#uVE%pON1!g!oO4U;|s&Bw72$m%0 zasraQv;mO4Z&T?d9yqKZbpm8pCKzlhN#bwLuYB*33rY&6np#-M(x%ktumSaIndVUX zm})5CHYw#*Aq1#`gGairVc$(Z#J7mJ0^usGEz%-QKE02H0{501Kti$P3WUhsRFWsgdIBv zKzDykPoHzd21@KzLdV$H7`ER%F7X-53ZPr%Qkkrx^WAe0k1HZ}&TJ49A5f#mo??z}p4a4~ziIwd{ib;W`r6bKnBROo;+=}Z)!B?2wQKYo2_ zKDZUeoHvN0)WMM~Y?#CY9Vs@}<9!AaT&P0#)=h~rQ@;;3t3eUB1g#3xW(fD9uemCD znlD`5tH|y3F=fg@qHFq{{{#lSL&t#O9zwi-MKed-@o&$533pb$=s z|MC+>`Z;EsR)5NRy?#K`5=*KWwsTIbmmY1v(fXpY2NB;T({4n3{GrJ@fMMp6qCTE? zwq{?^_cWIrzFs!{MtFAM3g)-Q#zAmA!N$Jz0-hv{$9*I?_`rWW#FjU%j-ZeYmRHDK z4tiB@)=BU@RPvVYL{$W7=!l_Eq+Cc2Pz+j!OpT|6(-1~z=NGT$lH*L6IIfHa+B$jqP=9j1a@6W8eRnjHCmZGdP zTR@K*skLs)tkLMSOpz0`eN8xHs~K4@iwhTcGvMOEy0bb{$Ok@Z(fh$||EMW%+S{q# zX$wO%LzMIZ*&AHjlVFUCrN$t@2RCQqhX2UhcIn;+fu{7KdbMSJ0o>quOZA=lA z#-nF`^uheJ(AA=i{*S?1JR15@xz_pZGI2F+ktprNwzaC}moL5-*Dy;M|41zhCy?!xRbe398bIMgy zw4l-DT(m02S(H=(d;Q`bcw^LKUK4hwYa3-aB=uig+>*FY^b-o=;ZD!8llMVEo`tAW z#4>kcNOop5&wclxKTe1ri|)LX8NWXqRk(<^JOG#BCn2A(ao_lb5t12C|Ak(XEz`u$ z6rU?*k({2@O{!;Uoo}PpQ`}G0AQC3;A~^i4OjGuhFmjoT&FR_1X1VIz=T|JS^XgTb zdSy(l;~t)U?A>|8CVCYXRfBTZjt;8HvA+b;6L(z<`Xpq6EL|Ab;UPAy=8q_<99}$X z{4f&8M=hemR!iTcWVg03^o4A6&Nrx$U19#JNk}dtEXTc2ZviE!rFnV9yFf{%yyoh7 z3P3oZ+1c2@tY=vfW|0iz8A&86XclJvXeT^pOMEfpPZW_xiz64|TsOl8DtOrpWPo`< z$O*0r&}886#SNH3efn#vZCIPbf%~n;{GntFXJH~Arxv-Zh;o|rm1 z+5XkFgcPhz?AE7fWE;tk*2H!szcg?X*w^>RC2O$*_{K7YFjmbpR;{VLDHwtnG$;Tb(E znmlx0_yIfO(G#Q#ZQeWm<5$NQ*ST}6Cqi>sDkeTPZ@Y?AU-ueSDctHo)0oPxRBNUj zdo9X$QY&cG^}Xh_%}8Ok;eJ(DTd#ci_o9X)s?Aj2gQv2;nBwIu&*{s)f&jJW1c{e6 zu2th_IygKEQIkzxgCdc@giYbGK^5T2Chu!1D|1WUO>JrT@*5^hQqnRjP+P==wB*d~ zKwvJ!%6LY?yUuHqUG@tU^|5kTa4^Np+gpb>7miOvStNs$V|mW${LliFZSW0ttc58s z1CEmZs75vHoik{GA(&t#MY0d>X*=rzqM0u)l0H;)#JVa@BDMe9#0TR-G1&~|@R4JP zTe!AuO<)&=SHxXP?+=Sz(d7_VWM%J+g0(x}?(*`cdb;{jY+CPzKvZbDdfK)&S!!$H z2?<3c`%NNIO~Vzr!a(2oyI}hX`Cp6Nm-&r@b{-91O6+#0lV0ZrtI_zMPx1NqF1Bqv zWR#Z?1CR%Zri)Y#o4|)lCl?^kglDjWtoD5GoKy@d^~_D%JV#cCYSbpC3aiHH9zSJ9 z!4%e3+MoWi#8<3ea43|y&O&{@7qJqi35LoaEQFt$m+;#2lXZGCE({ZQMN@VyJ0jSL zUNJ8_2eV)zR8AP8h=Yq$yy~ZT z+w+ED^^rrkKus5GusWD(JyjPge1AGf`D9+_%U7qBA5TSAQLyZV4ODKdg|SGUX=CkF z5}$ph-!$xH#w{#z*}mdj7sd89kbeIHlRn?J?xDVK(%me=AOj8|q5hdH)imKN{MU); zK`UKb`(HEcjJCS{PuVECoYwJwr?oX09o!M9``Yg2&mBj3jxCrtG%w=%DJ4erU&h3D zGi&PzU>D)_rx2%JMVt<66yxZ^7&XhL<=MNr73m*w|LT>*p7oV>Y;OziGv4 ztc>Gl-&n%IsZqniKpD9lCTR-RS&0&NKHKt>tH?aP6Ot2p$un;eUfw(EcoHL$GzhuT z?}`PFHHjt`)*mx!QSbb97VNEiMnP1<@eal?Ib)opw97PNKM*S>BqqMRl|)ku3Q|Ck z;f3Jrrs30DD+KE}M9$cxSXR{bH2-!WgP>LQw$4f$kOWy&O@X{-n?8mRkY+GU9336$ ziGTX%qXxqd9@=g2;mQ@#MbaCnSR{9zpVwO2hS7X!k|9F<)P9#97oFAsZ$%jt-(>gf z_TPQT{T+;MckFqw?68A+GUq2cBy@nKf4!fGeA+N~A-l6h_`h0!2Dht^C|F+!IP(4U zC^aWU^~u(Im;vz>bsN1$;kEagP)p_D_*ZUXA)9HisQ9C&(o55vnN_plDQqj^@$~v4 zgEtOkN-pOQ21nTsihB5(t|t+S1<|D^dm0Z2KV*9y@}feePgHwXzlNjE7vPgmwH&XV^76OM^N=eO*-ZzlT0a)=291{tNJ@1*r>&|K(KMX*=I$i~dRg)h5hT`(n=zs%WIO(6 zI)s}~lC+GWP0@YJ)KKLl=@@ru%ES$Ua;74?2N7U<7gt!=*ac2BDGtwgZyU$jOz}Ze zYuz{k>s?1@XV88dd@Alj6iU};i&%4wvA?2l5U zG$bZT_F-bxLV51U=tff1ua;k}uB;G0e5ktl=?#Yrw0H_kICAg_FbQ5C0;#b|n<+F@ zuQ69d7&@MecOeq+QTw4ERuU8}JGdEOYQhKUapBLJPxmJ|{?S7p9m%B2{6*HVC+`MM zc%{dhPFA>Y&RxyS`AkG}HzT3wv>d75OnY7U{PlWD-+8uLM0$B(#y%?SO!@Ob^sT?! zGlutsKML4C(c^_Kd{6Nn(_X!>`XR9E@Y_oM*F4RAJC;3WO_h5DjGPrDivJs4BOxD-wlG$Al-sLHqse9kH zSl)38Eyw!Zu@>U+nDcKAM&)FNuEmc+p7mOCg)9lB4K*fwn1+nyJ!*@YdGCnjlVY2v zRC|m3CO0?82=>RHz<^oRIWZW4K#wUCIFq^)y+SoM-n02hZIvoXf$PbWp3_qSp#MQa z1t*v3MnjrB%Up;UBGh>Fi;5piiY4j{tTd!2p<`^^wE;IFB^uZ_Fw>%>r zgeu)f^%v50S*%-i`d(-IrQJT-_Ll|jq1WEXd^fkBc<+XxB~5#qi99V8Y_Zm!9oml` z07nLwCGf)~7QRYkeBhdiAMh>K*yt(K3-3#~k@t+32@VjWicERMQYp(vNB2Ve3Cvgje7gy{(Cu98>Mzzuc0x=;AeCZeU4*;Z!&mGZ+i$)98O%~f|zik zmjkQgJwi4|=WY!fv> zk#3N6!^3qn&=)1(#<{LM&|gjj#mi-V!0 zzjf0QkVOXH(OYK0ld3FQzp8$u^r1YyExl5r(c%mXiq-^0-Ge`0bZE+KP?a0{=Z~4( zumdMS%MQL}GEPS!5kCwkL-siSUoVog2;`Wgl!`T8jFKS!py|F=NXZ(`mrIHs8q+^_5`oK0vAm13tL@3J;k%gIVI`0;mlP-ISen!zr_@ChISQqkjm^$$y4~ zY{*Lg&++$dcg#ZW;I)u1``)_2vG2T+P;#(T*Lj-`ORK6j@D7x&i~~$iG)bPkm8-@*Sife_@({6j0D4)lryH7~ z<4I-vfKja@Up^M%t2wy1GLz*Dg>+d60Y(K*5k>`owH#~e84Yz~=Gv_w3QLtKo|ux7 z9xhq&@JK=onV(m#1#YAi_$9!F#_$sXl-8X*$UP5#4*qXLwH{u~+qZhNr#Jplsd4O* zFls|0h-F2bEWC7@Ts#)`7~^veWaEb(c`?DHIF&Z{=^9~T>9806DXN*Z_;c5iV!=03 zjw7JlH)%e}=Tw_lgnwz-@3LR`ubF6-a7Rx^IR_+N*&JYIIDoQr+(-3QCUs&$^tDmb zdDhLwLKZRT)qKD&QJ4|xK8Eg8J84}Qz)=wG7$`KC;ulrsb)vTM@p3$xa(?k?6kLpo z!xu?XDC7t{{Fk_Uoz@0_+XYq4gY^58)4Ih@exi@`m?53u4M(?hmc6S@ z)OPp1h0(g|^>tAr%?lyf#Et>C*?#8I`b-74`w9_XC+b=cl!g80tiK75dy!cnbxY~> z`*u`4FNx+s4mfAIqhB{e2PO?tKaj@EC3eOLCD=?s5(;e%VvH6s|K0!VVurTo3)<4o zYj&ScMmOhEfZ>2$&XBUlNj(u0iR^TwD>Nz>E&DO?2Eq2toL^)hy|TlCm9mO%Z|p30 z)HvVzSju<3*ta#j_sO#YyLM;=-kc=Y|Fu zi(SQKCkJk2zWZFqR*m9Ucx~6WHje0mcZejfLASzpb`NbsI{8UV0<9Vwge>mFPsxR8Bo~RUZ5@7CjuwQTHrZ=p1i*c3p)w}OK$&FDJahV%JYM^=x;^EkPD*ote z4W)g-W1^Z8nX|l#FFJovZ{XThgXs$u^&kGxMk9FsYubYPuJmgWx1>NkqWq<>B_%ym zLuVaMb2v_-RshU0aa1mP?WIs@YHo$zVylyMhB@K{S-1K2d)w*x2U;`{Q%xuMq;K4IL^B1MO?X9j-b23>YqZcN^55T%>H%+H>U@2wP*LaK5!}&NgTVGNOfp z);+ez7++g=JNg?A#WY?Cw#XN?gAH{5ipC=jb0qA~yRNg6r9W#V*b{bUXk_Yjb$q;G zyaRfCQ9#JvSQNocB;asqvM_Tm{cKYh_D!J8=MGo8n_>hcx1oZ0Q zL?J@^6Z6po8-pqv>n^GLYdn!bo>7KnAr{H-w6pYOj$6(<)+Jpp4SY$j@1Gs=2^d+% z{ymPmW$Dj7=bfAsY-{v)+eeaqWb^vahV15V)@Jn%j8jfed$u0`2)sNaNbV4Xr}>Sb zT$g#-Y5!}ozD#Gv3%tE;HvZ~0g7?5Oapp)?9*Jc%;n3nXsW4=Rsn!IE&n2`+!T0zx z62Ar^bGwa0U7_x44OZJ{u#Epl&_N)N$pXYZC)?IS2;Oa6N(S8t5JxeQvp@+mLhv#) zsvE{II(v-rjGtjcrVgWGeE>X;knF3mZoaRTUG@@8-I-c2e~eqI7O1OBbnToJedpjT zR-nO!S-C?a<~FbH#CWGze_u`p7{bSDe3%ct6sJQT1kE8q;XSf%7#F=dUFh0*b9l(Y z&MMrYuD&YYw6|e*E>i2)#dG1NV0WI3Rg^8lsrZ7^^*MOz=X{@hpXNS)EuqGZPWpXx z9TdVp^yIAw=IT8g2LGOun8}A%>)0DR-+!?fdwMBCR{Q-a>t@t*8bTu)uGX4~{;c@dn{a@T3yjq(^QcTiSS^t~)>dn0&XsbR0t} z_zlDRiLDG+@zUmKWuZdG5wtFK&-(al(U>id;5v^ zTmQgY-~e~dhG(a1(ZJgqB5}nV^yZ8k6P5Dfy``XC_NieLa<&iy%uQ$|qh=ux&B3Az68*%NEiz}$HAOosB{-zfoi;|xk z-HsF%4zp00NeP@r9U!g*|umFFtIE z;M9RT5-;DeMkd4NhT)mC-|G+_9WPmh`9e{s66$KM1?0v?EkfDqHs&g3|q*2_18%4kWza?c05|_jjor8MPXRGvBY00u}o+@+|&01VOEB)8JLA z`NvX|vZaGF^>4U3p}T~OCTF$YY{Q?RT>-ZR=iVSi zVC%YhtS61RbOLa6uIfw`q8OFlD z5hZ&z=xIJL(y{Xp2K=GSTM~oLQ7q|i&jAUnR3@#{fU$uH5577etD&Rk=H`Of5sDsk zmjOb?XZ*6q+Er4W&0qE`QsPi}{H);f&;NArD-=A*!3ott|7 z2d>drT}u=U5}XJdWJ_}@+%w3+vzZEuWW{=^IC|E7NW4^CQy=r)nT$DDpBYpKRyA0@|u}E@#x@-a7w_f@uEkzJU?Ud*_sQ07`ppJZ{qr{Exic$?dJB= z+ir?8&npx1d~*j8Dch!wj%sDDAc8Q!c5GPooxN{xa*v}q^1axVlaGNtZzb{U7XC)+ z<@Ux^S+A**dHsSc^}5K;@sqi&Juy2c%1}vI34l20=&w%JVpb#>PR~;$E@-y#@Y*f$sD@KGa}bdOu1>v>mDi| z=KL*5rxrI@3`4cIZKN$jd!>GLs?7;S_SDul-!3+#%R1?QaaXZDDlCNY^by@j)>ECU zr|$duKB;R_24qv2R&EX?GGT@5_MrXh@RzWBn_TVE!?je*6J-Nw}nrsRq0NK zRP-5RXH!j~g}$YDQzs&8=qBD%7clVnDC>4yckapG6W=rMKapI`!N|~=Hw=Ctk^G^z z2eg*YY2w?18p7wXQ(LgQ#15^-7kmaQ6THB+wS{5P*J~Sa@j)b=KDH-+;5>@_DHsW% zG=jat&_5(f_oJxV653;UP#Mo6ReVV!gJLdZu-tf!InV##e5#CG?O{sNu3S8}`ZC1E zUGEka*roL0_fxU;R*a%KVX-O$+>l`6I;&_yc5L!rQl1yYorYq(YVF!mxPp?FMoY{* z;T4KlpJ1tD)^Fqa{k<1^Gb+&H``T~5s8N$`>8^2)hGk0O?tT<$;#%;+m9$Pa`36M| zuUxw6ofectyWeS!Z@s=sKQL@*X70BeI-WxE7!udFjn#y_y;D;Aw!JJP~PX;XbWb8->ZjuO$$G85zM2 z659^g5q`3K_(amNb@1S!(g^&fT-Mva-2$Km00#hz^WGk8-XXPim@oK=v6$x4A^IIu zrZIo7c`E+lNB8kyTl?Ae$I@ENTSep{Bqfwi@UKtPE_gGG6Vr(^6Ve5Kbpt0YWMhG^ z>d^xgMjc1r|Hso?hE=(?UE3-uN{G@Rf;32XgGe_5(jhG&-K|KMbc0BVfOLs;m$ZO% zcX!V3aNY0o{au?bWX|h4&m+dzN1LeI{}_reEJ8=sS9l=v4czJqBxY2dCYn*T6vhR! zhgo?VvYzWFx-Hp;wrf>FG6pnakdCAKLn%ei(B%|67qQ0jijGQfvWbnT*(_-!9#u5g zU68J?RG2}HDpr!F#Z2F?)Aops^9Lg*#Nyh|3Q6Zqv@Z|494mOs+O0k~K1M0>Iv$i; z<=|lJ9)DkZD^Nab@S|7SCD*KKkh)#C7omru#YLggx7HRZBb5QI(*usgJ2Jv_#N05h z7yEnCv)6i6Giv_i!CiPRz>N&DqGceojJk%F}$6f9@2p;)28Te=)6u zVXT~-;u(sHVRSvE@EpP64`~6nyc*I$8U>Z!f3XYr&z=E--s*t=1+*^u^w=o#b~Wlc zI&ac6hi=7+MgzAHM*KOt@lZmlcqTzhNJGBv1HV__*N449|E^TmXWFLk>4}p&+T_INVo1s_ zk2k&LD%?HrBi05hjo84^>4PGLsEg97>B&?RjBs&=xnQ;cdZ^@N<)-Hl{T|GL_RURr z<`fPT-klrliY6Z;9}J}bo+TIsAkC-ZA}QH)m1pU#-stkrR(!IYYNHcNVu423pyV57 zyl4QU(Aa;FBy(TJF1jo46lbBD9d9c5c1o1*QPsPm(LL%yvRrpOtt zAZ7D;+nNCp;onz#Qc9Q9`xs*Huu(%13liML?x7cMiSdY*me$kog?(2I&jtFzS7DkX z*-Jc7v2(b$`sTp*olb0kDDp^o%iCUKUDvn}oohoBaNzdgfGh348RXzTHe(fXgaWy< ziR~~?VIeMUFXQ4ktgXfJhlcY)3Z$NgKBm2zL9;%-K7HDJ@nnNjTZ;Cxq`lM?roB<3 zLoi810oHzdB<;I~P-%*fQP`l- zvI@|_$z`VolW&VMARzWELs%!=wD4&JJK<63a3+h5Ir{ti|4*Iq2dS>jz6Z{qkH`7omXGMDSGOi9@On*U+P$Re8?A@AzEQ=S3 zN=DZ(O@i?^AQNCJo|0bMXlIDzVU_Z#zh6Fz7fbW;?q~7m1Z`X8L0MRqr^bPPUqOWo z>Z9Wd9Lse7Vb;8ro>0*MXd;25w6;cbdAgem6J&SuLe&;qqP8WR#By~c7`AcXW49Nf zG5Ou&hfxym|9hay+iVzugVU*;G?GX@D$*SN(G#wl=;lrpHF_h*IYn0n*mH08B&1EUKosJ8K0%sqK--Fsr5_1 zt_3A9YXB|=dE^H$tHJGOMgsa04ni=W!x(?!hre%@1Y1}L?|?%Pcm?2!FB{`kuI56k6h^VuaNA_vZ;eug&~?hwAz}>LqWrL7hi+u zp>Mmn&|<3O+9bA=mJ~H92k?M6GVTDhX<=qY%XHqZ6q9W0;PyVEH|e3!`Ylo+MU~dX zoa{g@cy*g3G3a&FA}w!xcW6We8_W?B*-VElt6uz{7NDBhJ4o|~-&xiek3XI?jC^ywr~$dR76*_$Q6Kr#nKS457BGe>ULsYyY`Z zo$pD~>!TAStZD%(TnNn`E`bRFe4UVXv99m;>bA}pDEeP$NcVoa%|6{RzFo__$v_3J zmfAm!+lODz>xixnr~?%+O3p?IUWwTLJ*KJ{{m6>}&E8Vw6HQ~^W32cRxsVJHeWudw ze~Jt|0NMsz=?w@kx$>DjB6LMeCJ^fZb5F{q`735+Xt8G21d>{k1nc@1(^^&&jUE<) zl*J}ag`uYuUIv($yvi8Jv45bZ&JRBVTvlI4#dg#H_6REVCK;pP1r16}7NDCL84Zn~ z+`R*wh0)@t&?(v3MSC^UUo=uwUAMvYZ z%W))kl-5$5pe-J_(CBJYZ)lrU2iDj@bQVOn$^VOL0{B`=Iym8u{hCJ4 zJ_~z@XK4)d2f7OF4`a(&tL_C3zV-h5Nm2>Aa_P{|cbQ$0{y|KJM*7=fqWAsb^BKx( zrRTto%+W1h0~h;yf9TYs(11Pp)q>YTA>DN8x6V>Oy?!b~F`|lu4EvGcT?eAcre()6 zCxbN4^afM`!q%q;W!E6V(5+bZf6oesR_o3x>@Y=oKj8dF>V`_`AKkCoUt^`>MB zY~VpOIp8(>SKmxsf*ecw7M3;fOG?2b8Ou*~;271=)&_rQo{J?5uO&O-#_1B(_KCSm z1R9&yyI}cB>BD#OQlC=X0tOB#!*52p9#ngrF>odAAmL>>M?`x%riH1kn9<_`Ow8q% z?yGhDj0_s$9>4Vj>916TjuX9HPrb?R@&Jh z%fhfo-PkZo2}8(LiR(tlxm;->^d{Fvsqr^0&WRUiw?mInauEkza;v`@5?qUZn0fok zB;i~8S828=*#xyJB(MY7PdusEBWoQ@Cbu{f-^(C9QcM%}F~5Q=l4a!Q7FjS&#FEq~ z8lq>FQ-0mFT(az(-DEV$32T^=Xe0E%eV6=EC5xfW;~}dmz#~F>%DBbBRQRGI4K`5v z!Hxi5i0SW?CdidYkEM!b&jDy!%<4yDjem(ub;Rcrqp`;9RV{0s4}M!5pzw6qT?_WM zt^Du)gzv`QbD=Gh=@5^aq>1q13OtW1!Z` zver^Pq;6SS`NJHaUyjPrtBD$6IL!Vxt19esDG^7jmbSJ^OQKR<)<*IAI^;-W0~n-c z`JTt5vTWEr+QNd@OmD_-f<%^>3X8!tPUWw3_sZ)|Ft$odN-}na$w~l~2~yfv%rQ&O(Q6wxI)F?GY8)6v!s=(d zL8-0tG^63>5KT?+1Bd%R+h5X zR97Fzww~TakUe$wq-yIlwW8vUB&&0dS~$mvlfM6hG9EAubzVbm1!~V7bhJSWHI7i& z$=v+deNLZE(ie4ghBmp&_eqG@U_Wn|=+c*DE@l$D_oun8q^~fVKY9y6vg~BLp+J&bns6C}UXxNJBgEgH zO+xHGZGWTMm*9*FUway5m~=1h>;r2mp=hcwZ4v!4cy=7a+II7%t>|$7p=jy_$d;r0 z|Dg}j@p!CQLJGz*dUNm{!1h@AH#DRGH~LS2EK>P-&mNIf%?MkojzsJj~`0(xDNwbL^B8F1bx)le2v~Na)%Sjqaf7?jXL@iei-d3 zQ$I%kGsZQZcEXk#T*@h=U~%?5FQWwGVy_bW|GE<~TZZx(GLb0s+8>+dN`n!nWuI&Q z^izfrnB5Y##?mPo8@&s;z~AJmv9ZYPBl{pNi5hekqD4@OgBP?H#0}pFv0fQl*3$2s zPwV9{H?;Tm&!9{*&d=XHXX~k65Cd5qEZ_gR<|jR}c4vahG;_`uL-_amZ}8<#UzNy> zjT*1WI4|rtm>Knq{0VNwke`#gr{V1u*WHFbngaRG$ysJY*dS}cUis6Rszt`aCOx)3 z^kU2m$Nh%Rsw%*bTE29zmGG^ztdcyjtC`9X4`+`QReFbiA7n8hZ7PTNe-!Y6 z!U4g7Wo`BwZgDsR4lJVX2PVXZ=tUI&UOEn0>W2Ih*1WjZQdkUIeLbjcCXPC0Fc~i0 zk96SeupM!DP52f}RR$%XDpR8`g-T0_H6z@1x_owSF(rwg^%gd1lPzCvCN5ld#zRzua63+= z0|(xHWSjN;&^$pI8q5D9wW`Eoj1ioGm4=6VdDQyuXx5|iFWr)|8?m_*XSR z05Pi5+QIhgqHeV~l=H(gg76BaXzsGs`k-l8oWVSM-9b~V7+_)0T|nOql?JoU-!Ag( z#WM$zl6m$Lm%#39qCumN8C|4gJX|;Ec(y$~NEp|wUg_yT6Q-h~+B^5CizycUI6tqi zs;U~(We;UID+3th!1SxcRWl~zBEp&ot`3;Z!46rLN(928(!p7EA>3o>#bjF>@els3+ZuuaS{%`sA^l?=4 zaFIP;Wsm!ZQ<*>e;%(7cTyVfr1_7SLT%^D($(-WoG6RlaoVE$3j7XD^ETXPHowX1$ zg$;8nXfvckp4vSh*j`|lTiEADZF@t=LQ{NoemMJ${j6#CiltV_ z{^_~^R?1mf2R<*em?c@uAY%7PcLn;3H&?eIgV@jzsf8J)?BC7qe#>GQybei^F-zJ|_v;!K8r?DV zlM<1*@}3K(j!Ka08C#x`%IvZwg8N?u302YJpA@>`gD6=O+>Y5wLGro7A)oru*kauJ z0=^q!9=mI#7QLOsO_fJ2dJm(ccbsUT%z+Zmx`q*8r0jc8md-4;s3JTRX-2y5vb~;4 zLMDfCDuN}@M8qf5l&L2p1 zw$&Wfb7T} z-U30+NjVTutN|m?%G}} zu5!RSnK(?h!9ymPuE65_Nsc0#-|TKsfr4%( zcKJa9v{-HRB1MhZ4>cS3<YYJChI=!C(A@NYUf0ZeIs)%;OtXS=oDtv5?W@eQ3# zQq@?7g>P?g{Pu6&>O(uF%Jvs0!(GS-*vU~eQ*$)?wr4t3`!DB`@g+iA)0rwLKzW@pC%U$C1{#BqpgCg-^oV7 z)fzp9DU~NUzy9N>WAwOF!pHy(tZsUGH0)OH&w4Mo)?XY4l=xip`MYeyDo?T5vHd-` z^W%y~NuMd(7;AS;j*Fk}ogzY84_`a%=`A~?$gus2k(vgAnLb0k9&EIUD;aFQqw*EM zS8(!VjFZP1)3Qx@Mf}@ofR0SF(8?g^DESapW-z%3POf_YG-6U@{c@FsDYp7(jOj6| zcpejOf_&H@KPIK1z}=Td6jH{N3g&kBJ?t8uSG_r8U$^klW?dgUcLuz%Qqt)?{ryCT zw}M#Yor_BXObl^6H;&!l09TI_<0jg9e{gMOb=iTz>NSbhHh~iw#@d3M5H<#%PnTUgUo0>-TqP-UHlK}2ETo?+$Ca)tm^6x)K6m9R1U(3fqqGUpYFW2Ms zbfA8cgw2#PhrT|6I8%)XW)_IT2%bI5)@B5kF-@$rPzht}u#}*WoSD{8)_Qt3Pk3f8 zKBcg{k@nEz()UkWn6ab92^kNHD8SUyB^4#X{`XKnYDFF*g%|fBBKeJdPQxG#I+?3B zoK{0?Fw=&&L<$dpFTh}fzq~2sfwYtoGFb6Nh(YeTSdPoxAfY&-78sG<+Aoe^BA)3} zoHBX$?o%L1S^@_YV=4>*tEQ-1iGhadUaAMS;j(BM8c(!|nVeiBWyQ$}A7)(gjo9JM z-M7B=Pyq8uc}0WKYmsPwmqXW!55M-+ilhoDBqBZQSDFOI=BH?V zGW`J961J`2HawfG1PcZPSb$MmzU$k8>^Xm%Qdo~dgETYI%0T~2Tao7povfT3ZA5*M z;3Wgusdetzl2o@XUcUH;m{`aUS1JO(4XI9P0fu?f4GXx)JqmIsczagMX;M4XKk zZ9`K$?HUxk1;g*kc`k-dJNrEfO!*>H=86yt$owa*GWhSKjrhBL)6dB+_U__j`fXmZ zIEAfMud(uA8#D5`w{ZE~{m%yS<#xH)z7y&vFb57yenzmT{wdUa`%5Q~DdNYb^k1^R z@Qe&n4uK~k!caEh6E8d@Pu}`BvFV@|7(ex^O>muipxUvp?|p2Va?R9Vw|05ryb^rp=4t&4f65U1t=1 z%W3bLU?b{Z;yI$jDA}8$)xGhRuz4f5Fx;|r*{VO~-&d~`tW)ds-k=RdBzM{hoJ}Ax zxY`a8$`M#tJZNDO8E@;9I4Rz36tt>8H~CK!QntFzww3uywb?RRc80fQIbN;0&D|&3 zRQ|9|&8ycSw{c+py$dVvtjqEfuftVD#=(9hA?&+AzJ2f(^a-yrzHIy}@i{=L{|dG) zaJFo2ZvGQLCBb#^S&{YFgzm2nVeu;=GM!i|}-q#yW)oO#G&2q0XuHAj{j=s(%CleEsara>cm=46n z#Z|`$^ef4>Y@_eBDa?j+aD4Or*U>i5nQP~M4l@V!ov-wyYeSBP^%4Jd`P9w3Etn!D zkb=F{LlCwC;N#1uD0bkj>ta^R;j_z(4~mcsUZSFl#?L?v5ehbEPqi#QT9fj(n(aD> zHid3)|2~%J(es<~bU!~oVs}Gt|5Oa3+l^0;*c@zvukzzvZ@e#fBO~vUdaONL`>73+ z5RPrk8bx4NY8IAS&kCkU-s-Sp=6vz)XT*k5+OVEGX4!_)Zs2s#zwf zVn_Lp-BN22gLwFLp8j=u)u{PqP{~yvatZeP?KXstx?SHF7NXkaX=G@)xm9TH8;_WC zFL+k>36`9i+8%Lt4_rahDZuty0x_mXT452|Z4gd!{m1(&XS#CO;~@H7FviA9T)A8* z|II3n68}6<1omhU$-l?dEt)4anQy-3OD8@AA_EqaR-vxV*WVFFXDU51*E@sPG0l5v*oBt zj^WE}s8{+PCb8RODlRK?MbJ>CBJ9GJEmd)k%*0U2b$gg4B(9|04+n22!553a zZ=|;g!4sJyVu*n?dyf*JpJL{fKUkpd8x@zsO)2!|cN4CyL zVk)&Y@jJ>e%efZuSnu@Jo>4bp73gki5fH+eNI6YMHuHc!{k+-7o0>6M6`jAN;l8CW=sD&o-OfmIjYN`1yM$1}k}5p)67RHrbHwE^ zvxTse%bxgSUZJj$V!G2RbCp}<6=s60B%)t`(z&=bU4vdVoUO_=u1*Vr5PaBvn3(v3 zqJuSYsX0$g(u_g;m6vSCO6&UJh|X*JYiz^G(?=WWw=3@odgR-LEEdibXU`8bjzkdqgma2b4M3OO^sho5epZM|=;GX7>2!*hL{Ycrwqh9dC(^*9OQ zL9HPsp?vYx5kW9@{DThit?Ra0+Ww-&aZb&~kd?7_YUo6pg~RnAe7G)(E>w#QfB#lD>$P~>6f zZ#1Gnwv}z<;Ci%1W<^hSJFK`WWanNgm9jopn*39}WrXQ&UFOoyT{<{cuXLA3o@5Mm z-g@}>)@|mH*Vtl88mcxY>QUPzW0}wT(+nf($~xEtPt;HLQ#9NKhIqS5jm;>fzlyR1 zVS@zhxt%<^L#BwM+VA5Rzy1oL%#wT;_MvFJ8|B!)j^v=`QnKMWdp)yTN0nVdpO_~Y z*G4q*)afMLcyC-QONQ#yYR0E0cCmFPmtfjvlFs1$Y&Xvh-E9G^R$@07$D@t()B9HS zCUiX}c=jHvQmSEI3H9n%ANz+j-&?-JFL}P{J&(I`B3o?5+bgG4v`Y0m6=N0QPCAvC zu5alW-Iwm^bLHTFB4X&VfpnVxCG=Is%M$gaxGzoNIstj?-#-`FUXG5Hz3&KNC*vG) zUwQC%;iyRK6=h@qK}gLB{iD7gog}2uS^MgRs;*9_oV{-ZUzC~M|3kl2Ox}k&sb|y| z{08JsFoe%B1EILy6MoRQcM_lzGCVDlXb%iUvoB|FS}A*&9fkj=aOVk56wTLc0*d30 zBL%z556-Q~a`_&@LbnNsS(kZ}HyP7bFyHuxFVpzLjP|#WaK2mkWP7G9(J0*KssAP3 z+`;&`_uSn)2V4>7&vbtXh&4XG=~9#mW3g={!y#y$=+s}BJ4cG9Uq6lfy*rPUeuYh_ z5q`3fPWSUQ9z3-GA%Neny`y6_&%@|Q!b25w77-!)U+`}y=STs>p`acg3F8skkR>~h2Ng^I zA$4-!!r?h|7fX+1ORt$ojHdB+zS>ZA?I89IQ);Nf%1|g1UAg37UnT;Av3nnwH(-tl zto?GHunzCde9^c^pVK9k=-!l+bHeTpZm~R-4Qv#S5IjT&#^_Hlzz~j7t&>NiS!#DT zSqlXapS(`$vz^mY7`Ce8yuI|$4d)!`vG(H*ynW@qn9fx`Vo@X{q!+1TC)vHlTra4G znMjb6+vogWZ*V9(R{pG|d=)1d9Dt7#l2>A^(fwGd{o;6;!j&T_srEOqY0gV z$BNJTjf2p`#ZV}^hVw~7h)bu~Z}UOR{-`9RR6;d|gV#UI3N-MabFek-b=u+H(=t+$ zGVt6jQeh_G+0F^~&G>^V#5J2cLujVyh8s|KV?tIX@gO@m--k6#041h9_?yIBK^29ZM+pr>zFdW3 zh6c-oy#vOvv|L`mvqusE+T8hfIMGD16DBO3lHQ}{|7l!2R1{a{2nvmrv6l>do`=57 z_I%8p^drUK$%kAo*=e(q9PgMyHS3=RFi%_XaQxji!Z)22e#LnFm1qprlj~p6tQbo; z$&3c_R&ye2#02@(8sF@aRs_l2=O!=7)SADI7x&&tQq5KW{*~|9_)|(|i`Ff#i(hl) zN=v;c9qsaE&vTTmxz#aQTvlpUtB+TbHL$bP5Jxs*U!2*0JWo-0_uzNB{g`7N*6Q^m zwl?ed6b-9lJ-NYw?Xlrh>^Fs~v8Au9Iw!Xu(L#DBh)%i#nWDRB`~nhogVhwl37gaW z^%iCn4Q3E{!~I}yRn`JRH}wI4z0dAKBq*(MfOe})HfCFT%3M$f#%reJ^5oP6H-xss3v&)VyYS!h&kTO|X)Cs3V*=DT(dv`g*?{{LC*k{@yB@LTrO}w=v^J2B zbaZlzW~C`^#o9H$`#w`6Sx;7GU+qP#%2h2*;*vIQ1m(F-R0q`hj{-!(!n@Yuht~m) z_G0<71JdnSe5%!C>@%hDAQg=pMjfG-smU;}QSNf9y9vG?yG}ZMf?8dp??`>zTEs^n zQ+*!G7svW|X#JE=9skhAXh^h7)2PhVzs1uf$aui*7?Zs;QskxG@>V5q>j$DQJ#l-2iPmMZb zXKURU%&foGU}7mFar$63Kg=k#Xgu;lCVc<=1xeoE^0>p8(SdqZH!?3+CW_*r6ojxX zxhb&pZEexdp0zjFyge1J*cnABPiS_SDBfVOB*g9+z_VcC6ztld^i085h|D8?+crcg zo14#GNad###x_iAsaDmcs;phBPu^GgC*RwxnrwjF=f~U5z~IjWjPa-~%rg!=t9&|= zI%t?5XeVcNgu@fmaqISORgBql_7wx}Td3av|5&uh<2{uJnmg47AFHMc$?zP<-XMvG4 zY$p zKe)cWPTl!Ck$7sw5%T#Ne6SxT)yn36z8N{dVNdpdg03jPq@oWayO^a}X0*}mgL4m+ zNk{)3U5U5CF)N(DQ$K=!2aa%rRPQTzr%feNH2JZ-Sij>t7Fv3iQ$ck0yUe@}g3s3e z8fzc6)s_&-#Z5aiJgSODLL8Kn=`9gGelSnwC*yqA6SNzGz^*|Cb180!x%;v}ZEba| z^s;u;q=rLJB#0^j3Q+iu?X*GrGOS!94m@Sj`uAvrp0iAEwdYSOs%$cZE8r0XP_pb;>5eZyu$74dP-W}-*%#Mf~69K2Z??WL? z%xFJmi|@VES)F~5hCeHekQlSM>e9iNX-?ry1=)GDe6A~fZSuf0U4j7r2hPXy9g}Hu z7aYlFO;aIvcXgVEdYOZ+bJv~{7&#&CmQ;jvQOM{0lqK{~!a})S_V#Up7M9IiqOuD| z7{>cw0XHtQ{BNp1Nk}HC0gQ0eyu|Z_Im7sRq=&?QkwJZ&HFij1qj|3EZPZSrH#GSJ37@?XJW zA{&cu2Ga;__M1ZW*Q_&@qdBVIXv}uz9O)iJ9I=&c-py-?4ql34-0O}gTuhq%^%Om9 zu$F6YNX^SfNRQO(_<{ViT;|`PmsPby>LyrRk3ir7@=ov<+*+`}Gj!&$y>#qezf+$P z$eU~Q6u_46AMxGzv3#E(>(jQ^C8aldT{WMY;%z6`<3ji)JU5iVsi((}9q7yd0t5_I z@>KqrDuBz}NF`-h`pDoD zDp5PL{kmcF$785jt2x#cDMI=K?_M~-WL%FUT!w!syO3uoow{5nzf$30w{+rb(NcR` z#?wg^ZjeM3G;wz)*7mQH4Kn{3GI^F$`n>66dW-ie8LQ#L0&%Pqr`}*Gk5T5fME2z_ z_FVZ?rQO+7lovMKMD&E3oi+$Xi4O)9U=Vf@Q}m;;6YI)1BNS{2@tj~b8NHh?))%+M zj-HI}Rl3VVXceYD*|D8$r4nqwQh&4FD*ttiLAcB!CJNR;oed?-f-iq+kSUJPrgZsC z3YV#nZyyaz#V=g)AVWLxj=ejIQpRO|T%PC$Hw>MoN=Ou*#M-%&l9{|<>FWtN!Q4ll zC_hPZ74M$zc(w8MP-38;`qR%*-UID77-{c|ySy644=Ez$%sHg)ot%4^WB*X6hecbg zTJDu(G()81ULz8Q&DsFz!7`!Jz8E>EQ~VC|x^S7(?sMUa3{vG;#)@FskEiO=N2!le z7_yaJ?L}g~nae9esI}+j;J-Wl*QudFr$+Z+S{i9Tt!6ysQmf*sim<5S8Gsrc#YHE` zo~#rdr$On%D$#oawpRIE$RYyz@nB1SNhtMI5PmaH zHMN?Q%5hG6`)-)^z%(kw!-e`$fUjm@`(Qw&{q(LEw$D`}MdIS{NXQ$zMJcjO-b zMXboEhf&qu?AWrqo4Q6bJ!{&rvsvToe=^N4ZDS_Hra)q{+`UO-g8E7PVh`Q_n~8J` z7EgDXD+dZqx(G*e4qweVhEUIj!qiJMsun}N8$J`K^j~u~kxvA9R1e6bY)ES;Uexm~ zy!kB`83a)Vu{ZijRFL8T%g$d}M2`ZL)TAP5ypW<^+SQw{c^E5meK!g5cDdq4HN4;B z|8c6y__hU}AAT}}?|qE-LM{H;PhRQbEo(;CX!|`2$Q}1y!FMhQDRX3(K%4Xf5Iqa;z&J|#nNB-a z#CBtYRl<-;c-!`4&`R!ZyQJ(%s2SoDN3Gw9_;sXgrCFxI;RwQvoWia_YNtUbzQH6p zaluOBfJw2H0H!An48j;|Dl4qzn+!Rp&zhI*_xsYlNK8xQN;EQF=S8y};$M@RC@9PY z`w@h8oSB#@Ql@nCtl4lU$WxB13W&Q5W13IUR(ft4?@YS|@FISq=hY%&BP&qDoE?Sk ze{=gXSzhCQC9^?B>IM4W9J2)*?tfYo)lFje_;xsERD<738NaWZgxvcBUy>^y!;WxA zbB`+IfEM}jU23iFK5}ogFGI)f>|3pS$nV|}2fqpFK6)ryCfoC!Em2TSPoV1XmWZ1l zW&VXaH})3XiN6;A-H8ttFpyH2=%t=jtNa>nYg~R=-z#=!is96&;+y#gY~ktlCOc9a z5SWFC;Ycxle-_a(Toaf^Ns%>&=^YEUe1IaM+;cpnzZ*@jVD;Azf5=hi{G{_Fa4ZyD z68|}YM=U;-V@3(L`%w(O3kwxYWlZU<1!HDuZ|WWJ5{DvV zJQ>JegQXXM0^x*fTMwq^=AQqH&*ANIQK`@bo7Jm~aHV&vtQ3Pv^93ajGTyWY zj)kBr`K_A_noY0ulMu|8(`%}agQPODe4q)+et~r$i()|V0Tjl;G}s^6lKbE`0_;Cy z{F{y+ATMOhfa0Oe;Pmv>$m&~RSyL+I#j8D{(Kq>3_zH376&OFBD;FG&@6bBrh9T=F z%ngV>is%XNS%1s=W@XPIvBV+T+qvVxSYaS@bm8Nn?beU?Da*Q!)tKfbCL@Zi_EjrV zmaln()*s@A(YyCupX$D3x?l1Czo`lst9wnGR+M%&ToNSweJIwS_=L{%zbNl|S{*&| zy1HI1*5(uswCgWSwLQy>@JudQlxX}>;=$OsYJKBMWtyYzF-^9-?82h*BGxr6q6lx= zXi#Tja>CPwWIvw_ZA$QEq3Ys%vpkVJo>Ol0O>D?J*>L;gQMG){;~IgDd82W)Ogs#yMOcU+1(L$@jmt=S{SrOiW1u907+o zr7GI1Ku5YfrmVNoKP9jQS0iwxu~d`vr)hJiDIg+x0o+IC8q>iwfcp@XfcB~@I-vNw z>(mDtC-P>)2!Zz2*4AG+$&=d|*=FPY$qrjo-V2O@XVa~j`X~xQTsL>s}MP z-X^FL;Y1lF&)bCrj_x4N$Nno);e~wiQtdHVR$F~Pqgf*}I`de^J^b3c8N3?OOQrYX z(*zzzn6}T-?m{Z`1#de3O*_w7h3Hw8YR)n8W5D$Cc-RBku2Z zC7F$n>ohW{-Nof)Vp^JNYXqQ>?>8L)De5cQj?q%by2A@5yyQM{)K5hOvT>^=bbCd;=Bs%r zGo%3t&^aBf;?%35j|pL42eujbp#=E&pyQDp&Qhm$`k6MYah$~Yc3Dz0tWq zaxu@A%cXD3s@>Vet1ll~mMI!m(Igs<`QwaP?E3Gs*M?OZM+!w7oY##h^{bWCZows} zI#cE6i(**2TVs^g3ubV1L>XQ{c zT6pk;@~ML$9~f8!7`qHuo#FsbK2LdXpfuxFgXgSyiqq3KWnE*$0?j4sze_Y(@eTB4 zS9`TTl!!iz?~%*8%M*W=wTCtPwTA<@ZmNUv=rZ}? zYs~tIvn~a%=FAAeZoQjjz54atX%P%-Jec7;g{cB}fW?^A+~10)y8EYZGJ7;QeqP~t zBSt|q8Qxh_DYA6ex2ekESuGB;=f2=h{jvP9dhN8yT<5Jw20Am&B=$aD#y&O$4+sdP5yRh0Mjn#((%AKFEjf$_M!`Ers(Z$yBhAAT`^T&>dx5V zEw6I|FQ;#^Ju@XCoyJj1QTAD-u3Ju~9T-PsR~9PBefQ{8qN{s(rBqOw?tMat55NGrIH+Hu5T^R{0x;ybvj|C2lnOgs4 zGL<#GQVe`u?m+x0CUOwJW+2cKAYgP4Gg}G%Y&wc1z&nLgH=T-4SrmyHGi_yRWhF1A z3rkowQ&JU*$d`=4UJWEVV|;n~ZC?*UpOn6A&x29Szi8^lpjT3V=&(`xlzks)Jl~w~ z6pm%GaMcbZVJU*(!3e3__r7`3-i2|hVbjNZ&^p5MzSD>|QyVjJ=9vZ4rNcqSwB;~+ zvkY>=q;1sSd5RKsH1J^6PPYpYWwS?9)|))>w7|1p`><;JQ)gV~k<)b_c}#BUhB%qM zLz48*KrY_A)>AgBmJP%~KxwjttfO zK61h3@t)nM669!~9IdpcBSx(ZIT>!Qny~1fq8wz`itqj0R)2q1OD!My{qI8;9c>Ow zec0PE>KRL=r{5F{R~nVt2|q3yB%3R-zdpFdmWWBJ_bD6I;L2f_;6g+&r#+Z*bqetXFK7hB5csh9H8W#{j4srs#p>xhy6kb{(QBf`hv03ftJ{hx?p03CS?X6t;Ho*O&IK%g7rtZUVAO3 zW@p>@dAJRZ{i_cHnuE0;(ywREl-jtUU;GKPxync_ALfAM#hFYTLA%xdJU1r_=Ekf( ze`gwTBU_hZ6DN6EKp_a*nysTJ8?m-ISY=!MQFFcP{7ruO-{R~>P-&C;$k-VO z<)Tf>Y?~Gr?*xyAkLKv)8;pHt_o*REK?Hjv5;1J9&dgHek&$j_P%nS+SK5DtwZTTZ zGm*fZHIz0!Qp5TwW8L4I^gU$pJ-2B{V#cD7>;Kp-QH?_=w!9C8Gf%2KPEX`4&Ne7l{1Yncw9<6nK6)(t27qUO|BxE%czw+ z0b&e)eHtW@ptAneLunieZwt=k7lpm-a)5LIt0r_el?qCez>orTd6@X9wkL zO_ZI`S-M$7V$#-8l=+&4=Q>(|!YS2gFwDa2&jz~%x}`kdj1Pu;HCq&=lo9lx+lXuA zt&6{gD)yAp_BArRyUPhYM2{S;g3hzCUk(I)z_Wiv+P!qeh>Ze!H%ETIlr1XGWwvay zq=Q?Sh;;Fuh4#^FQz16ODqW67gxeN{j3Fbxyrj{K@h#3c^fk+oRQf=|-WBuEBV_JG znxS`^L`40i%;s|hD2m_M)k~gB{+KfI>*Dwr_)nQ`7MQ9L zH!9Gw1} zx2c|?o9GFC;CuU+mhb!;vA949^{;?hHL^;`>>=?|HNK8#_+dVBCstvqSd6K@PPs7z!j9D$*`Soc1& zyJzpj5n1LZdWcklMK)_m+>z>>Rn4Gt=>cqudBdF zpg*@gzxAa;rPN7;wo0w3W41kcrd?DFRWRm+E@Zo(dmLgC10zzM9`nInfKHfGFar35 zn_KdKkfAX*e&X2nKUP&B>IL3i-s=kSOcsTQ+1vDNgXQ`dE|SDV)JBI<47j%3MBoZs z4jZxL1XspV1ogYV7;vVzWjEglA#6>PlW|9Dc+zfst!;+A&*_tL_80U7B>CRFS@a?^ zWyB467DcJ1*cO(8I?cQw{O4v$?ykRK%7jxwb0W5y_l@eU6YoP)ij&a3$y2;wBRn(a zFOtuB{;-Bqy?A~Oo^dg3r*yvQ*@t}L*$D}BERP4f;-7~0;dbG4*G@XW`adl|?=pWD zD#y-r>1XK*soq^9+w}B|Z^Ep4#xHc*E!Fv*Da0zZO?j0K$JG66Inng1%-~ON$a6`U zY^L;%1YywMR`5|rJf86h$d(C!#L0vjLf;lty^^}p_hjDnN_?|Lsx(sbw0`UH4OhlH zKQ|d+=cjl1ckFB^zCJ6Bd@-$R+G)~)@vwIGno$pNF}8ZWt$;XEs98;OAFsdu|A;!v zs3^QIT+^+jbTg!YbazR^Al*X=2uOEHcXuiX2nYyBr*wyafOJUKS4?9i<5aeFP}(!CF+P zlw^fkgOJRgR8wA;uerUAucAF`6dk~*J!3s@`SSPW7*mTHc}dYcy7%GSlCkY5p-Q<* z(N8GV4KGsz{j1AVzzQHZ^-@HhfVVSE{Xyg^xztsPdVSR|K6Z5faCDmd{+_J_`?DVL zIX*_y;4l5Qn-ZNzLtJoQL|fTRc%)3_gOZEg)~j0j4VIZ?dTC9rxc<@;2`Vh(r4CIzP1~jIh zY;sfhngW5l#knzPG7Sw9sFoxL76a?Prw%6gbc&LqqNvEpKX-KG13ySFnVg=GA++V` z_{)=}T*hkQgA~;wYlB=87r-+WORpBYPCR|P?6u?mZ5PwSWthqjrDf_zX~{)lxF0c8 z91gS6V6ek)Grn|dXfMNkLu!di!q0sy+>nrxB(_)n6yCI)sgG?>gf<+5>37?Lv z5eTcM52WZX*4f}b>~I{0$qoLp>fM8-vFiOiVJ!>&A~Za0Z@l+R-azsO_4TWJME}s$ z^MOyjCBTozc_WqrOn`j1UZyYY-b|N>^_Ga8mkt|lfT7NsnP=5BXhe0aIyYTywTRz` z8NWh9Lb#*4yc3ESzvm%5F88=6os=io$!SqaXWt4Va{!3xZ$L8&1m>Xn06-NxzHHmZ zty8Z!a`C>(Qo0a1RO|2hIaws;#VL?x#|R7C=V}YR`uaUePxn8{)#CfN$!zjY$^ z|M|kF>Y?fBv1~wjO0K%enB|ro`mWB|f!I;{`f`-r-@-5C8!mDLlS_|)YD_`V26ad{ zlVCG`qs$uJ=fp2okTC;DF({`&GOj5ng&~lu3RXI3<3c8I5rt_YKMPE|8O8boxE{Fu zK+;1Z9W5U7wZ*Q=6Lqkc18k;^MINAfQGq3gdX)iUn&uGlpKfj3r+ybfcD3_hFaw^L zx+;qhrL=jrsYC60d0S~F0`R?;JADJow#UaD*S>kqO5qoK%aQ|xYQpH!0k@VVRnVuT0J3**w4pKyOAd^Hu>kO=Th0J9si_NQv#$aD2(P)M zkPGj+CT2epYU4pvMn>j;u3C9>S1}#^;y{&gqR+M-jcvEYc!$Xw0kgm}$XFIGSM5q3 zbzkGB3Fv10_V;>qO(xNEw9fxmZ!{?5hh6>9Fr&s@Nx+=yjNOxr!bXK^w_wnsOu70u zM8|<6ll=`R*@0+k-`9q#62>?uF6esm4B}!Nj9A*Ec3U|$*$VD4M%BcKPOpx$(NmC) zj*eCLTOd$w)m9^@`NdI0a%S-n6_Sa|d=1#q5MLHOo9Ol-2hl5>a+&0+RZPsKzaJFk z4z+v8n1meQIb}(GV(oxF?GtI?-ut6K+{2pe*TGPd<<^vWy5t=HJvetjOjxL&63BsH z%^2<*n4kqqCt!96)?tC$8(}n9UrW&n1acdeJcnfK(v2boW(;eP0Nd(kB7ppge7PaH zq~ntJfl}l;(Pq*upjkUl2Im?Artf5#m`kZNAWG$xkD zQ}4(SUtNJO^;xV&d_yJT_cnyAx}EKQx4QLzz3&cbOUi3=GWMUwrGozz(9M`p9#dF% zy#Q^m8N-{yEl5zXSrJH}yVMf`u|8!K)73y@D0w_4s6YNXk({4ApLPAg$que% z+`&6&5Ri)2v66)2OJR)B$ITzQgP8uCaJMyrOA!sI^TNRAqDTNLfdO0vMf{^r7F?wf z%rr@$ZD#HR?uar&p>I}>Y6)p9aF7LC24LX}5J%YPfUGGVPzGM;(aRVEgCa0@4u*Df z=(c)t0z%T$#gc8V1ZcqNnk`+WpV{PeCmcfgaHP%df*ud^ucqpMlY2P|N4A-#Sk*L2 z85=(=gh#TH^?Yg>h#l3)P<@G4vylHft~?=Ds?05)iYT}>ymQ|Pha(4a%KLYrHNuS! zb|Wn$?s3ZWHi^FdeuVh(DtY5BKffa^)QL))%>SExP)n83h{Q~ zP;w;RY)sho&!yoer$g%J;mK_Cge!~2Aroj7>IC`Fw~mepD%pH%u0o~Sxdn=3j=uu_?Dh_r+~*nuIg#?kI3BZ|WK6}=!9uG2YEpB%o)W{|mk3;rR zt-!%4M&=i_Jt&0#rh^|x7SABNb{O&9a-WilE$U0_M2R(>gn6^9O43{=fGPGgd^i}> zWtfR6O~7B*wh4Ble+raj`mF|>0|?O^w{tyeyiTov-x26fT1^$JAR&BcI43@z=-!u% zhx5i>KV)ZT=fT$pEby%UeO|#)um0zE-;gUG%nm(jqMkMeQ{KE}y)Gp_Zhf6wp z*#sr}`8tgeU7Ii4J}>e6@K)E+rOVzlGw9L)Apa?+ObFtpr`@QQ80KkL^=ih@523dT_we=FZP=V&zX|s3FLNNNvmdomnaCNKy?c= zDWVKwa*ksnuYi!Cvh2&p5R2q9PR>L=tYCGfklB69t)Wz~GXXM8kdDCFnz$34EG5~j zzSyHG0qn@yPxBv*E0e^8LWj54HoITB9KK%+X5687aSmgAJQX+R)t?r;^iE{+=r6%A z#=dqD(`Li^7vSfBh`C{$_nTju%cM}<#&J7rZS0>NpMwE^Phu%;^ldOmhxOT_fyVP; zXXOIMYXHH_P3-%&{D+%AetkBVpo{@#63)Yeg&6+J6xP|*i&f;B_%L~HTMVcG)sAaj zl-H+(=EG@hcJnn`xyG?Tibi|vUl{<-S6B(L>O`8csVoAVls9Ehrz z9oc|6KriEE&B^RvhIZcw{pQYJ1I{D!w7_U0M2ZG9k|*7A!Aqnm3Zlt8A*fN9wGzg+ zLGV}y2I>7p)0cRA01ANWaTg?d^p{B)`IK&$uM z*|r+Ox42~{*5(Td<5tyycY0n4@G;N52UFgC#(#SpPRDA}o>O7a;C!|N1z&kK|NFk} z(>77mO~0uB^%sdNH8;Q)3AQakE0HCYe`@pCOjh+0O~r$tRbFb#YMDpn1r5-IJc$7r zBc)`U(E&c6-T++>Kuf1pIueMvY%LoWfb%y?q=c_Eq^K0QcuX>q{78zu^O58x37SmOJGSB{>RPW{*t_trP)ex8CYBTc>nKJ-v2U|g80P7gqkz<`IB z{g*Y*lj=EG5@ZSgcoHBSP$UI{rUWJ~LPmzgnn#PakQ_X>L?$~hP9FkkLHEc=Owv7u z7d;CdGeUFW&o<*%C!U7a9Kg;_R%6fy7{Y;te-I?WGT~F&(JC_v;XDM&HjpHPB_1H$ zr+W`x{)-8M@Q#L9Evkj6r7erqET~yIp{dIprx`ry7U_>rCqjE8mA^YNwC>HR!bGQ! zUTtW^s$#x}2oCyF7rT&`WBX1aTb zqyms92!L(tC74GSM;AblUw-277}Gj+u7)kzx&%g>SXfxcC)kU_{9_^?-Z>G_t<$%| z&?^JSb{Q`d$kfz@l4)Bx;wr|w)5Rb6TaUXiMIP@?%f^h`eFeqx-{+Oq%CrL;4ZzRS z=xs4%2U*dYBXLK^M#YzXU|{(?S-g%SKsfd-$3TaOZ^Z6A!n{Uggj&gr`-VHukY-`%6V$#Pn`x+sL`O#LZ-&RhqWbcl?&3WYEI{jv4Emgg_S-&(Mf%z+iWU)4cb zHG8Xl^x*Mq`Ecd%NEV1KE^*i|5ihJ>FfK8KbFsUA61;419y6h(hEHXn-itM44+jsX zxh_{2q%8VBvc0B7tmmV|>qDAC$@M0{h1E*Z1qxkCF|&V$RkOgq4d^ET)GB4@^|Hb8 ztV08^oCRe*i-OYKI~lL(+1YTQYE2&oj}9<$1F0hzxkMAPnc3PZGTX`25ddcz;#5n$ zC}p7Xvke&n8!g`_KyapLJmL z-dy=oD>*@+fCsNYE>5e>xW9(A?lJURGE}T&N&zgA$YgplSaOkU`4M2D00#-sZ#?&= z$pDinAd&~)BL}co27gPzu(=XkvJ|JfF9ndg5r>AUFT9?Ausa4H036_&v<6VkVG}_+;LV$OOEY3V9C1rZ@2RrisJRb8mb#t`gIHBYiEje zZH^gNmPg~v!5Om(l&Tx+5EbqF5lOxf&v?BWM&lk|L3D`<|;*tR0Be`Sx%m#y|6|nF~fB_y6@U?;(Cx=8>-u@p>A)-(T3q!oP$@-2m ze8W`e@LKn@uSJdC9ZCv|>3Zie@}PxKyG+#x?67m4{CcB68c+6~PnGdy1{>Lh6~&Yt zC(iklgU4Uqr=7`}XqJ`qltgA6c5s(=(v+H{IXD+K_hfgT*VhZt8qNk+?_*x1Sp-~`$d zlp3;^SAM)R8Guunnr@De>I0`MR_?_h&1QtFWXKoXsr4siO8`Ks4s4$)tEm;*kOH0p zt`=7xgBVW|10OecA+2b5SQxlSAat@1B#lwK%yT_3e2#}C&g{F<2Ont%$)~i%WT9u$ z61nTeeMtm_LJfk*MV&lGxqziYAFg$jFMpFhD+4FQ992f3q)AM~{qyI~H0O8LXj6^| z7%_;sAiDreSUbM*dc6n;&GzQiz?U2=K4uD4j$J3{aO!c0ujhtjoNoZx2U(}*e%pGg zA~l$%#@-n?z^f92hM{A90vu4%(Vq8-OY(i^O>9siqcpn<^aFLKEHXkbeuaY4dUau zC%-R|VdQ_YGFi9Qj{aR*#pb}3)14npYc-rzvGUq9xnH4l2I}78w`)Gb=R~!&wTgr6 zPJclQJs1@mxc5Dw2&$^$!3)+U3pQ^G%|1v-%v8A4)+)E2i8|<#Y^@nF&igk;48ybY zPdJ!zyN>igD)}-jt$%$~Ox9ovj*gD;%az5C*md2b5}rO3VpA!c;i=YRW5o>eC(Bfh znpoxf+j=^tGl$$t*-F-a>h1ad(`&dkRHr5rNcxRX(}&dTHzZSDjBkI1!r{G$g#-@H zrDVVjtJFiZXKZ;v`#^Dak5A5_VZpXlF#;J3!Nv0X*BrqfbqeRV&jzxzxS%q7lEu#9 zq$ak$1}}ZP7fjL{7ZgjR=otdb8;TI#o~f!Vkb13mA<7 zF0wo>^kTp>D}xKztYURjgOz}!-Yw@zYo3&{*C~op1#U;eB=bLc?3W`lZL(PA%XL{< zlC4e@cNlsBU|6*T|4B4+WbrusFC>E-OS*Sqm^iC{;|HkF4^OXsqg-(j-dbCuwJcSp zh!-H$&f9@psVHh_%Nfqr=S^t}EtaK;Mc!ifrPw18YljDSs^*8KM?k6BCC|}Pcaw(P ztwXm!`b3pL?5MOxxBYA+KAtLSXR+1>9{VU~)1@KC`LYiNQpIkf#~Z#w~2f2JS_sD9&JAr*p*1W zTl|j^;#argg*-dd)5ng|$E0b(gj1J4fWH!)5akE1EGmr9jGP?6dIc{H5S?+q9Ro-Z zK#^d1rks_hVIu!=Xcr%~$={NSu{epCk4zdSZ$-2886Wz-VXBPx1jSTDJiy3A$%O*z ziYZlTj_sRpC#<}{X5xG2VVE8A&pMR+=Gu7drJ9pxGh!295bt^W6yrEr$;9rqv&n6< ziZvN^5Sn8@T8g}uPxo%C)Z{MMNo?|iIz@!XLf%B8#^Vs;E%^iY=u}n)j6x8hJ3HaP z?XcjA9JK;wPtXeOnf+cv{b{!KHo8cYSUK}NGr576O&k~>{;!=EfM9^0K>qmD>?}Bb z4C%w8Z%pO&5kB@6-`w1Q9k2h8zaYGyV#RM|q$$#`8b)Ojb9vliMh+?94S!7b1s-(( z#sG>buQDoV10bIRmpqMk=rB5&*Fde|FJ7UIImH7sjkY=EKCG-@`TH{$O|V6)s-{X( zA1$3F?NYj1N_9Or@wM|gZ}He~H3tg+Mrd#@r#Wc->rJ+B&-sgEorZsS;67A8AeNB* z;csFWxb4b6dOdb$9EY_KfqecK`|~%P20ISIboXMe>4>$HP0-R`*+_oud~ES2t4bTb zfBw+V9g>DB=9a&vh16()B88j$+^lY4Wb55m(zD}75zfKNZnnQm)BQm7nxh{*=}(2q zh?&8T8e7~eQ#QoQ&)&zs$7=`Zpz9lJdatyjLV+xsir3Zl&R}`f+^KG4K-Iy(}#HDB+$Nrxr7)(g%}^Pd>soYh$_aS|M;^{IZN2^jB3ps_IHlwMiVQx5c?Zcgc* z-ZYJX-uBy{rr|Ra4lMwWZJ|OoRWASa6nAZ@JvFEghN)tQXDO;-5EV4r&ji?tTBt z=keaKQ|(gq%~!r}^E}@qq|IrUX!djX8ew{YEtR_)C!%l2^M_We7X-83;Y9Xb?etfc z=-Qh_v-;^Q_MA_EW55O)ub=|0nV^uTEiLaggU&dcjZ>?10xdO2mH_aV02J0|mzU+H zgf=yiW-a;^Nvb9D4I6KLO*7M}L{IQm=KWM(9C}FC4y)BZ`)(ZGTY%!p`wc#p&-U}1 zcNtf{ro$iFkhO%y^~6cnd;-p?zVLqBGP)u>=mo{byZ;g*LmNC8=TU05?SK0N8ctj3 zLBlE)o^4gT7x2ykd^dSY_J)hzsOl?a?lfso5lXN{aU~rj{5tHbaYz+utkusW_q7vW`BE^!wqe+GX zyk%MxFro*)=I{-(a?j}in0VeZ+$zdLfO!~pVodK~h5>+1@nh5|Lvf9Uw%6)X#NptV zLYIo2SfG$~7nh|nfjaMK@w+}%@Z3zF{*+C|k3=v|560(~O~Xbej`Q;J?1v1aAVM&C z9dt!IyM@PAXL3b6cwUdyrmz_huGVsWH6kz4cwb{H&}pj6Xk_cOP&e$wPST%-j=N_t zFtg9sQ8{jn{nW?p1rgmi@}+%#E2$L_BbUn7ro~t1$V}6sqIEdz} z+TF;z6;t`CtF%n<_Au<-^4QWmP=cX>*@0*TzYB_St0CmRY+>`;LeGVwlm}jh>vnS_ zBFQOUlJtn5>aa*JfsHGAZ3_>X35qe?xpm~T zO1B0yzuxHymX8pn@eIMjGygjq%&&h(Nj&~0XMTiq4f7=+`F(VlX!Bi zai7gCh5E{fjc@N3>m3s8O5=)u)D4@1{sPq&oxy9*Kda>UyDYaQWUQo=)OMpu1HZmB zuzXg8;?1)t-H7n$6TWFeG0DIyZH+!3<$%3(V>`*uzk+F4q6j2slRN3no}&N7MUr`wC7 zUa$h!fOz1#^N|n7G1wv8jN%3r1uew)GdIcaxnmMz+Avk2bjEyfGA_isA4KAj0j@9K z)i0lq9ge(21M6o?p_IVPQn014%=$8Zo2(Y7_F?e!}f% zR-buhOq4tb7c7INlh#1JocdE*t^y#{LFooGZn9~hS5OoN2yI|6QYLT?3Z$5vB?o>$ zK?Kzl_#Ar8a6wO>Kpc!L$BHcVu&}Wazo5A#&JPLbgH$_D&@Al`q^bIHXircPFvJCl zU0a>1*%yQKx7&9vWeW)go9zXQc=QPpap4jU@_D5H(*mHS&w{0;w$S6m$KiTVTFNR9 zIzOdAF@u8igKwpDNy0vWK^17eR>MKr6`B|Jp(lncwEje++Szhb>wUa_cRNMsgqPRf z7I^klqE&{?EHJh&l3~OId+z?X$?so#$Z%Q(K%!B`mEk)`@>doPu0;!LY zBm=L<;qj;kECPFeP!q?(=Hu)YE(X%r29s!f4XOo3)?Z{g9-(-Uu%zG_1_7 zMr*sK&HruB-c_1WE2n76K56`qKlC?9_9cd7CvY!JU@-s7pKc02iDdsbEUOU1$h@pCMFgmbZ$`F*F&*0ecJtNFX9Kq_Rvtub;X92Soy^lorp|8xpw*TWAfd z$f_^Ss^ozeXv&!d&{VT`%LFHkVVF=#7NbeY67ykd$R>ci9<$%c47-pi>Kp4zO89aB z!Eq-z68!3b+tAGcSfg}*0=tjs`bLmGohM(k5f9@Z-CHI7a}|m$ zE35v{aCGZrcmIu~Q9THqie~cs1qSt}ydev&5E!u!4mxj=O%_;ynmTkhPg05b7rC*! zw7%kRA)Mdrfmu&RJ&czxQWJVaX|T0Tm9eqqlAY81Yjs%7#I))6mPf!j2iwB-;KqwI z{sjStfs`P+wY_8TmN!5XI z#poP8^RwQ}T;^zU)^hi!;LBxgA_uw{j;`ET0DZi0GQU4H{_*f|IZv-Jou1ANKddIE zaDr(PLFGXnzIP*3l`k?ly&k~IvGva~NGTod zMd;a&V2i%K<=S(SwTnQALiJwD!eJlpmt*T3Q1|h3IJdhWl8Sr(8&=+D)8;cUEd4&X zrJPotJrZZBTO~Z5HSu?P;18ar!MJG_^Uor^KMjW#{{DHk6{?o!v}J_r@a{;0qdf_T z&P^goNasT+Y0qLQ?Knj@nM|GiQQaH5Wo&~`pZ_&8n{7L@`fI-Z_x|XTfgBd%5rPZP zgK#W|yXIv)(i2T(CCRX;K-_LkM9I_b&(_r~7o#3I;5zvMhfbrcjB8sUCSO#kbjgYq zOORRtQht?qs9W_EKV;P5qBgRuG9!>K&=7-mNf9`5@4J}YI@?+tsO;5xVLzu(`mCmesKN6U)u95nHJH*G86zKS=Z1|hP|U}n`$All10G3^D@3Fd5CbX z-9^Vv%pYtg0*W{=cbF|2jpgV`>}Jq!YU7mt|#r6z%RUentc>#7n#9-kZ*X;8(Ox zt#vFdLKYlq@xoF94GAXU+!4hQ?^LS#eXII^{dk)mNa&dN0AKGFtP_~fyi&rHf@0C* z@Da`qnFVp(g6tcD#mg5lGC{*N%4$$Ed~=m4;CBIr!r3y>A>5L>)>(u;kHlfPkLdaN zOi>wGSy40GWV)aFvR(mj(M zBIx}osFGQ})BILRiYNZ2BDYD!J^<8`W|zZ1uP5pctNjj zbFTXMb+3ZOO-0bI!nZ6z_8jga_=`8zD64P&m4D)Tz!mn_fX7<`HcUpW`K&?5!Apgs zd1-HN(gyX2nHq_&|Gt@ce(>sq5-^ZGGrqfDc{|2a%}qjBT!OBxEpS5=AjzD#!*6(T z@Tt*lKVI(!R}4*^Ak>a8`sfz?Yn7*Brn(`_w5ihqA|@84KOyGUciGrS+bxVkA(8{G zmBIEcB3{0!UvU%Em_wpM7@9Q4+GXTiCZx%*k6Giv4z1lnT=D=&DC`FyDQMjxKJ_o= ztivI1|A4REj&GPz{93{N@VDFWtdHhn%<)toczZ{Wryk&O7{Uvz@!A?Lv=`8!E$%m5E%5P_mmWf=tbO)d~~t z!I*&K+hxQ``M~O@!IV6hpjZT?rPXqX`fL`aN2`L-ohfBM-w<#?duX~P6d3fzw{+h% zc>Ur4Do2|9ac)sj6~1gBw08nyegM}8R#x&!J-~Y!bZ~(Yvh&G$@0A5hQdbDe>x|7v zGeD^XGpATNx{G>TqzH9+^rCp;6TH5`TvbK}p^%^w;KQg$Jbt=cct(k8V2k6 z9Irl(^?EMa@}I~n%6Is~IAJj5#)$3GGT;&xn<{LEr0nV^+pob|B9B3)%J;5e0g&8) z6dg*?dvamcs*IzxZsNpA}juu1C;Dhu|WVf=UOP?`rg8x|1co}Lqa9&yBdAGB<5odqBeDMN{oy| zC!aMdq)6bh(3Jh7Av`#eXG7i(EUJLrJn{J7`2T_>OANq~VH4&15k4BMbh#RpwYUQx z$AIiVr{lH#PM*c{5Lgy#D2>T;1g@|j{RGG*GX>h^)$PrSUVgd7_O%>>k)*N&4R&i5 zO(R!}S zRsOtnk#AR9IM*w6XSQ&~lHDFr%+>7L^lgh2cchVrAC=2Bvk`et1>zl;UO{GH+l0aL z3hS%fZ-{~D$MNz0(q(f1*VQP%q+t}i78o&T9~ZE?PZy8Q>fRGc;+X3FawA#?mJ}u0 zAxo?qe%uQ(o=tF^*K`ropG-*@(17qFf5$Zg8-Yj5vSa(iCp+7-Qi%(V!y;3k_-Apz zgasrr-69hc5qX@%R6HTU(qd}UOQGxN{K^jJ*ybaqFFF%;Qjf^^MopQsKqB?lEpfXV zrU09QU81FTob)J%r~FicZ@$aBcM#>|@0HvQ<>FCbY?Yh(;tZd0u6)1s_o0~{As{?c zqs=WY_P7~o>*$zM1$(zq#>+<%pTSH%fnFRqd4*%4Z#7D$e$*dc$uMgw2OZ<$e2yai zM8;qhcqQh9aPB9b7J}KeBZmh`RqVBzq_t5J(fOPe=_JPan!RA9w+6JBbTwEBRLm%l zXqfI&kk;s?m4bS3^Xb!g6XkmrzJaT-X$;8rFOxisf`nW@~j;bO*P z@5!o~APYl!+#0NHbuJxRvzL9&9s~2aPpnLPIeFlH*B!}QuTr!-C)RONor?sMFW+~v zYWlI(OB-;$_yVt4ise(S4`26g+1TbL1o(M?A&G`@&DCPAeS%kQkZgNWc0c}pVi}1DYnmUDK3F(rS6XVhB2j@-E|?? znB0UoHtjzueU@wOdAe>90iK2cqgrR9<01Dk`TgBs zz*W;1+S4-&r5(Z=5O+Y>v?{&Yu#%+NvdnR*q7l52}S0~bTT{{3%dtsm-L zjmC#7B}oHuZ}f!YA%mJ(Y{l+N-E(uqAR`gES`Chg^(|e-E4 zx5;w)9qpM*Or-?Dn@v=Zasz1tu)sLE!IXAdON59i;V1(XA`<}z7M(UFdT63Lf}{zB z6)_5s!CKXl5Qzl&;-S$AcoqE!xa+znpEpJ_bte|GS{RK4d-Tj@WAJ)#&1~7mgW%)cq#*-Q3h?tHsTg{-+<`5t)g&HuRhvGZlyip$ z6t*dfMV^mw#}_mMe{ki9*Y0~eLT=E{wXb#o`EysH*~E!CYFWz^kiWI z+hZr2eJH2_TRMRHpMfntQiso|yX!ijPl&n8Q|g)(9VIpDG-pQqRf~lHE4b4B^!Lez zE4+(slm&}y)zpux$@mOq2B<~mSSI)MsTanZH%FI$$kzy^r=ejma2mXh--<<_=!ai( zroL6JJPDp1FJyV?d+~vU{VU}9p*K*?&f_>ZP;sg#fmeP&=)-p6j43T|Cq~hdP%4?v8+3eM_~ZFP-*W^!Xpg%oeU!Wc-aPq=UXECC?IX7Z>sw~sH&1;1ldb7oDHa3ilrhOgYly%Lkb z6G67?ihV)^k_$ZcB3z zy#&a-9Uo=MKaqGa2*#%d9e%H6aV0eTV?V0l8i1(eES=duS0_MLNCG_uhB7eo{fdLP z&w3Z$ldq18PM@rf5y{E@Nds>xDWd0@n!n7KM`j#<^H zOw8MCal>%4N7>^KvR8L{S>g|JH{Y8Wue)HsnmDD?kLw9|D0zAHU?^TUf}}Ew9vm1E z@trbpe0#peQt2x(+1elKKI+%Ru#iha5UTzpz9R6nv5Pr*HyaTM%Gbu$)|j@Y$XSP} zq3yv`Me>_a6VtDnwArK1Yh9uK+%T8qB*>&XK`|!sm{DVAQH8;E3Fw-YroKosV2gv} zHDVO;PT_WO86g*#5D&i<3+IV#KHA6;SM#!q`FqA=@V6y?ai;vLW@P_dh-85QI6c^v z_inxS4ZhBQ^kPv`A|Q?R=a3`jN*tavGGP=K6x1m3m!Kha$@R_*uiq-I7h)Z=*l85~ zqo`*r)*?xbEYi#-J;TRbRe={WQ7c+Ak5p%sUXhHVlSYw5GC*nyc_CEi2DTP%Vh8g2 z4Vj}MvKDU?czP`^|1KS@bOdPLwn~GtO~@&7^QBYby%j?^zX9CRU&eWU zB?Np6sj6AJT-Dm|-(|{Yq-NdnQY_iw-qef)?bisSaRhqZO#Y?#$fWSyHy>nz0C)-- zub#QjMQ3}dzVLj9m(!X?qPE^R5J~)sIK!h%0ay zr36#WW8tFl))H3A*J4#yVl_6j4f?E17-UI3iZ~O`rN2umdx1>DZK?4cEmnf;+CFI5 zSaHW?5QRKDd!ZSG1X@#@V5QsGIKy(k+26=4Yul@uRPKvakB>IXi@-TFy%(#8Ee&hCJs7F03aYM(Zl6*j; zPdvKiA&vE%2Stj?7haXAfAsWR~yFDSFId}>36u^x#maAs1-0v%dbtis7*s_X$ z^|(Rre_yx&FVOIFJ+Vb*jjS5lpj+YYbytb*?cb?M^J6x@L$P5yd0HzeEa(u0hc!L@ z6%VnF(a^i}j2zzt{ftlZbRRfhwEKBv>^ZE-fgjd z%z*3kfhBgG@f@1@{pz0%wP*u*;iO1&Gb|UYi(0INz+aBlsHLw-G4xzD+>A?sKGD?M zJ*_;hTd_P8$(M-O!|3^~82D+}ej**@8RGp8G^>8}*Pw#N%a=S;HgPG6tg^UoIg0(8tx(q?YP}4w&i40{I#cUPxnIAT=Hp@>F|I@d zv%?HlYh&k&NTsNPo`+XQM9T_m5aUxTy4UYRVF>aNv-x_8@&FLe&b=viUVq?UuvfJu zMGbr%94LLZF+Uqv8;EQ{f%-DB^Hc=5D*=P`qNPJF%nS*#Mv-F|W+n_(f)igH4sp*m z*?=A_3Dlb6NLmE~Z&By7$l^dT1y|K63FtRJDkCTd>Yqt>f<$f=N)*Ln1tBc-7Nb0} z*7gMX1RfPIe^F9Ws=oVqDgsf6Qo#6>g4@^ETv@p9eb)#h2B&xKOcxS@RunH!j$deO z_Iap=l{8jPM1y`>di}afT`xnjeO~OvP!0^u#l~oMk|)-^CANTxa~Fd3skeqNTLq#} zpveOCJrM;=%P1gB?Yb_XwJ`O42fsJX5|(A9Jc5P{P#F>U<1$^OIQWur8$F@t-)4Vu zI1$Q1b3W6j=rtL#YkwgLb6To?mu2M(zu`ss_z-XMCttOqa0pMWt+}fxmhbVtUQ4l{OX`PnyIE|X`%1x=5$t|rf^`2@t6D_#)_c+pIU4-^`o$_ZshG9 zu6ff3xDWfK+yf32^bMi+*uJ0%MO>aH*XV^t{~L`i<~aGOnQ_O<|K_ok;;LP(cK)+Q zsd~k1rq>zN`1WTylO{_FKYu9~TJ5n2Wp2jmoXa?;{gWXzutc8ScY;C(=J?tn)r$^O z0~Qh5I!<g)GYQRSNIt~sj zxZr8Cd>Mo!LSSB$gLZ_wS57g8ao)9&hNU0xN5<6`YeI*HFvw;rp&41UiSi)X*yxzt z`G<=5hTGuF$|G{S)0yyqj9tK;|HDIFiJ)%G7hNtR7s@u5s2RCfW4Pw8HSfgY_q}7b zlFlk6q;wqH0?mG#*4iYaXS>?IP&9D=W~C)B!=h-LH|~3*GcN>0B|5~Q!N@4*vxyi3 zQfXPhyJ?T`=@3Ti?n~_6=TnA5Uk4n+Nn!t-6RTv<)#yLHQB0K!_6z)MBLXAVtsvA} z6}#Dt$0A4gPQ7~Vo=v5Qmj%O-#mx@;k&lSp4{$L^HOf29-!)U|^{jq4>5_V)RoIZG za`dQcY3%ZB+hrfNQMwaUGbmg^Wq$IUbmORKDHssO!(|mDxErN$k&G2jfuRor$^#Es z?sHY*0!6%Qx!~X#masDC->25tDcr|l1#(x{pQmgbXf;sz25WixG_zFIE)9y+-2}XVm) zQ#2?@rl$!&;|H8v=*b;B^}zU3HeC`NunQ<5KirIrZ*OLyzwKiXQRPQQ0P9%bB$#SK zU%%kjes$I4>JdNxARLJ)qIyAu`RjNM)e2AP?(V&^68L=cMT>B?C;y@8FVi! z%D9uCA)=~Z9(>xqWjgm>Dd$M0DcUz(n2x6~H}j)F)@^e}-dYPcH|b!Cl4nSE`qHx# zbmqNiGn(6m8u#r|A|G<#-r_2D=QNfpI;yR()|3B0NwuuAKBI(t9U@(~V5!8ZR7YgW z!qxOyuITX7OH(&{S_N2{sbdk;($_ui?tm2(i*_sRxj?5GC)cq||6e*i`DzsvN9wPL zo%2<4Gu2Ul{G%|hk#7reTo86p;Ja~=;M?9;|2$hpHHn=EFRweWf=`&%XMr2y*$lr@ z?(=v=anjat=uP4g-Z8Fe`TlzSLe8llSIx-lu7sowM@mnIs0eRS&^y-AOy#4#7Q=+e z6X~9cRF<(c89tYVdJdin;D=dvw%XK4PXYaWiEn;Lfnz|+Xh!8m7)?2BV0ei=yC!B` zAjhF@02Mxob;FZ#IIo{ha)L1)61h|};`Nb_cpT3u%WMI}a8Dkrk2AKg1wPO{0S>u5 zpz16&&BfZmRSG#jgejvy!Di`t7uc^3T-{8{aMYh1!4&ofYE-iFwgPVE|Q zhtdsD;$pK97)qJ3_E3xK%7Gh`w+)=APft(5 zk-KVaaq?Bt($WuZTm%DazU(67s{WG;@Fou0cfJ0iUx9}Nf9>0z?+!rKSyo@WoQ(Lj zr6M=EK8+w;<%_rF`~F^?pB-LoDGb@V%4yZ#7^Gr@I_Ng~_vkVVdiZ}InNf*W7V2$l zDR!c#qlA(Dx7n3EzWo|`qD6){tPnE}SMG`#v_)F4-{xNZYH0iy9x%W+Y^JE?^=JGc zX0Jp%wyt?-q}trC=Ii`sb_F3>Aok`5LTWF{=uX3ySdTwg{lJE~-A^~J`{rcBq7Y4k z+1a3>uh4Dmj0eA6ZP^KpE&6kTdb{I?P?H;a3oUwJLF>JaE~Hb%)gBd!p-44%0`wGHRGhAe1Z0W3* zF9|&U#`I72&ef|Q7Ejq|AX=WIdGLX!6I=9-X?rYhYx@!;K=CihC@AOof6VYE7h_lD zElK<+G(1IvINGC~p^4H!-{0<7@l~DzT>+}%o^$a3v;fb^iHrP~5dMFvtxbT`6)&4{ zW}D^SUw!*NEc@_#^m=B z>Y?@p(kra%6h;gO!jJq+=L+b#^ctxb#Fbs#xIKUq!yLI1Ga-r5ax+ZdZZUf9MXA(j zY)W?Q(LSy6!eSe&?=$M*<&H5Zi&kdL+fX^Mcp=oJ>;mZY}&BADD+vn}f7WneEVGHg#4h+pj zzdAqqWN6|q7(i+xs|6&D(WiD~Xq_mkUw|uHUd|MSSCRo%Hhfn~9GXI4J>i#X|IW9o z{%uauM?m~{rBAK1x;(YF2X$tzOacx$qG%_-8$KK{j#r=3nS2C>?{53r;O6SG_LWs! zlA5*tRqZqA{TL@?`oA27^hnOe^-S#{1aako?^Z4U&wL%PKQ=Kcd)hGQ2CIIp)Og1? zNRQY0Yd;b7=h^FDZ_e(q)e!L|CEDkEo=YE$s-%IwAbsS=NmH!G#+t6h60sR^DpdIN zmoKc?qR|?alIDIpxZDjgHeC`0;FipEsS{XXQy@h2Pr=)^QC{>$&&8t5OH!<2bGGd*=gfi2#Am@wXan)_D<|8f*en)$3?@tyzf>+pt&8)*>4O)@G&WY<2j7Q$gl!a;kIVe)UF z$0)eRWn~36`pPK0q_G)0=-mk*Zi0OBDQ<2X1O*;S2HNO(!sMmXn(&b91fGYn){0Tn z_Mpvk$l!`8n?^Wsc+%ynBuJTQ+RxFw_U%B@!YK4n?Q!jtO zr3qA?jE61#)#H?GoZYK}GA=wkbZK*#RS;7Y7>!wQWj12E3sY@)V90SFgHwG0GH(aA zm}JJm9iiSjUWA+T0rJ(VuM>KDG-@VmhIRH?5-L;bBG@F3AJA_g392hZi4H_FZl!|H z3H`QsBghqUv+Jo-CbGT~Q?2N`PG+nQ4&1eU(d{&+44FG0?ie|H(ui_0 zz`$!v^x@i>L?unn-3TKbyRcY;CtGDxGs<+99oRLorx)H2y=2P7ic}4^Z5pYq96ng5 zoh(uUO-g|Y&;;0*o0sJV8gyVEv5_)m$ES3js*_QvZDZUhF;$Zx=o;bDM%i@jwJ8&{ z{%|jzOCiv;&spu-^I@SI2MM7*;8bSoo>Xl7bG#LuW%!%eO z7`#GKMs~LO(Q;dL!v@;XbI>We=&_DpTx*=%#JM55Sr0mK?-6Fs>S=aEwdgzciHHv1 zZ05SlAoklML8*bP5n<@YqG%JGu=vT2V@iaIak^xR4W5#pqRJ$eaQxf4}52X)Fn($mm9w>WVO$VXiRPSv1wK zS@n`!6s=;7GSjeKEbS)KI`1lxWhQ=95FXN33$7f>4E)=6s$^mWaKbKL;910|{{`E} znp&~Z?4Jnmj_BKG#nEZkRG8k$u-?UnOdm)5jwidtQ`brbOMCJ9=%JI}n)}_1yxW%D z3g1ap)3eJXT|-2e3YfYs{r(S4Ul|r<*R>6ZwB$$*jdY82NQbnvbTuN+uE=arXy zk;ZM^%=|(g5MYr&h+$S1)ZM`mPlmi2Pv-kMn3crZA0kB#6q6fvSH^M5J|Rfl)XP0{ zMj-o&LqUmyv=h9E{5sjsck;6eWLrD{g3RL;d>80Pz~*M~Yuy5Jvo`VPZw};X!_d8_T*l*gYCKCwtZ@0{VRG(@4ceSO|(O{oU8T6xa0xD<@p$t7*acI@cJxbwM_k?hER?z;$`WxJ|S8um6)kUHet_qoVxx;{Mx}JHI3^ z15;!u>R^j}x+jBYl@f0F6lG6;C*R5_`;N%iY6?Ih^%~(z<(1rA0z(3GmhguPe6V%|^vUJ+=s{HU+sIrrGG$@% z%$k}@ZjUU%gWktF-08gy`#Q=j5Md{x>5_gFGaJw4TT-3bL@Uz+&2t*fDwl4nR=s7`ayE*hu!sJ6H=%wqAjWBiUvU#&5nz zmapw&YNq&A9*{$3EF}6S1=}h$gKm^v$f~Y<+Tr11%WH%3-W^=`MCM0Ks)$I}&#jled2{E&JyheE2EBLnM_@d&%T&5?4@7c9$qB{t#h1&9 zOg`JqiV(HoiNWGT=h1j>G>K+U=6a-u^9d0f&aEY=wE5@N9_JT%fBSZy3s#QyD^ni| z$SCge90Q#D2N$XoRKnA3Fs)JNAWw2*)xyLp~; z<}`T(vUIG|+&j7=o1gn0zz^_dhk5&S6FnHAuXc--4K`9cKK)zHmNc_H9_&&K^h}*f zq*Tj}_3DOFQ7M67YU!+o(E|VQcSwHA({*_3agugOuBc3=o_pKzw zhP;R$IP{MJh1mCUVW85WW${q+>b1##h~Ivq5Uv^o^n&GHW8oI7LhQ{ z_+iA**>efAvnerAUkPc{hEnFocetE{(&ghEZtVrTS*#FeLGm0-B$uQRJZU<*$Wqo- zYf^agj~eCh0Tj#8&3rU;Q==@vg{j=tNqt@>$DOV?zYbaCm3Tpm(Mu_hpXl(CBJAp{ z1vc498|*)M7R}>cZP*eJmhW7l7b_o+E>8ni`10M@lEdNw6{Y1eYGOk@?y&9z8|m#^ z0{0f-yxmrM`PMHsZsGY$q3ZpYzV>sLAf6A%b>OFS`yNnq$}noMv!s`F)L;aLQ&+wr z<y)WYTJt-jpyS<`kN2I1s;@!$IW=m!0@y_uPVFd+%j3SVsBu_fm0Q?mH!F8d%m--22*FK_)V?Eop08vri z!uOMJaHy-P!CTU1gm^BO4m=*8Pwvent#mCAtf`acdRZsNlyHlrF25XNWpH~k$uqR> zLc7}YE=CR2J_OJ48NdMMs{ECK5#aoJN>xG%opODGQrPoM8#VIQ|Y+gPaE*JQT(pALvB#AJ-Q(= zc67wP{41X7kXcgyDu~gPI+;2d&IN`=zyo^**(%Er9xDJWgT-Kg+@Hr=6E{^xJLtNl zrOE%c^^6NP$@m_NQlSvK_=e+rs(GI`)Gb3K6bT0^JP2lt5eiX7<`jt}y3#a`mlM{X z2f5qnCKBl&@-*B^zoFrkho`?-s#J$Jb(=h5%jpumZ)|*~3mgqS;qipl5OoPd%h6i`9&`SBX*K9cQDHZ& z>XYjb)>Tg{`+Wd5GrjE$D4`h-#Mvh$}|t+X#|sci8NCNG*f&aiQHJ-RG;y}gbQ~^K2TtqL@>ZxIj>+4d7V*9 z0(h+{N7gdG^Rhf`{$OZ{32|7~i22MuKP&cNLIz#U*eRL_PD=Zq?fR~hGEjv1#c^3& znghtCW1jtNV3);9tJD3#gpp`bQ#@fjb;^(A){`*G2yCH-=#tkA(oziLsnCeu6mKJ0 zR>_u5(;_qn)4WPi0GKy$o;cnDt^$(zhp}teA0+`_WQRfx4MP*}Xe@%tgoiCACzP2U zuuv3eCk)PnIUd*}SLxA$JjsedIeAirxI7B>@i1sOAk7VY_s)?8q!aWOj}~%oTyR1% z8HM5`0YMv6HxZkDgdvYoh~sB3a|%W+Yk`fPepZyHH=YR@G9vgFAdwG@oC}Vt{Mac9 zFSMSbKhn;H6-JFX`I!f9j(wca49(fB)2mOYr?@3#5STbfwtCm-*v97fL{yHr&=`=I z=LWt$G`%{Hce~*s8C#v%t#U1&vl!vDhD7f<@CqDwjUd3!cA;CDqVO}>Mai3bRmUS8 z#6br9PjiiR7I4Df)6)X}XN>Rk)1G$D)JL!Uu5cU6v0xb=GPfQZjlQc-IjZ^+)IY{#u7jHcX+}23IkmGuDpB z#sPHSG)0A{J}$52LRQcCeXclxD*SLM%IEdJ(MBcaVvszD3=^q`bER_nHu7@i)L^== zw)_fJ7`zm=F`0f<_Jq4D()|WR=z}fn>jo{JHIpWdhpR~OKhwngbN#yNC_kaLEBO2Q z;`pvGpx-eaQQs_7KD!B-h{s2_pY8+3W}(!VIO-YwkkH%|i}u1&AN`~)6vQ!Rj95k_ zgH3qRkUp-l9jP`?Y->>;*U~s8IsVHXQ>g4<&I|c&p3&X@uOU7+-W7yujqoofs;L$l zy8TdGiRV--@`^8sZK7$0171?8(&=tk$eU6mJP$pWLSjp#`pL6V5TQ@}lMAb|iQP44 zAdYb*YSma4FV4nvnENt}I{F`b);UC=F8@eUw@9zzrz5YLNPOyQ0$voA=6a$>rpQ_J zIPg6GjoKSqx%<76jErLG>pb34`tn!LJY=Mm8Mgu0${P2C0K_~=Sk4hd^MDELlN$(Y z0p`i_%jX?7ht^^27uLzkdHF&dlA^E9knZw}ZT8Y9K)gba3TO{46LS-virn z6D)VMcLwjgp`OGmtP!6ajkZOVXLIvk=;ZlJhb@-El~L=a3-FP%%BImP4OWF@&GvxwxQli8M~BRx7yD<;27k!N=rEpghqj}X8C0m>?r5i1XxThPtn%HG z+`F00^_9K7+n2BxQuF4Ib0uH)Ts?Jcz4yqyR5pBc&{{f#`l ziP4nExS73Sms`b1e#(*eHp$uescKNb5Y=Y^Rh-cm_-+K~aYNjG%zder$+ra&0qt3L z$w|H1&!5IWptsHKbEDWJN=Pq92G~-A{=&)Q&82VulI7PU~SM8MX z0q%m?p2(^`8$fysUO>aDaEG~n(9W)akWh4y4dAkI^76{m%>w!*mw>>~-JS4UgTv}f zjTunGxty%Y10FI*R>jd(I~PQE<$99LQ#_=S$v#uz^d9pSMOM0ry*=weCC=)7`*`yt zS4JSENl5O$2E=YR*P!EJ*XI)FF+ta0vyh5PjnSAVlde0#>xOQO6XR@%^7)JjvHiyB zU|cZb86hF@TTKi*yO}l$N(H*_S|!!%iL!vQ4-&fbqJ(6Md-9qD{4V~Av-4!yV(P+`mcH zP^1Y?RoqM?fZTZbV2`Ez`t z-JY1^_+-x|PkiEjof^629!g6Shi7k7OH$#j7eC+lSX+cD6T4*b$+R34Xsj{1GMAXe#h}qh--Z-S1{5av4+8mQwz`DC?BpP$aMGsS5XaR%X54*3 zKdlTlT5DvdD|)kwBgk~u$}GqV?XMDRZbK<@rn|Ej6RxG%4@WD z?1pPb?+7_6s?6BfYO3@%=EqNYZb~smvP2_)Zl6XTAMw?fnb`lL)hEQ%3>gC;)KDM{*UMBmML-7 ziBN+xI7(+e&lHg#0dSu9%lW9v>DZZ@!v}JXy9r7YVE$V+eeF}yi#bX^hq4n(7i|6h zM(t3R=h-Na*F?jtkQ>dPm!3a(Z=SyObM9ai1%!w`(?qKl19llaElAC;U2!m|-=e8g zVM+e}{k!r_5;qnt#W{Xo%nWZg85nK)z65S*eXoo*A@x`36T};^!D;-HC|;aqXH30H@v`!hkTej?y%rH`}rn^q%K2WG}M+$9~MkO+dA0UAH8UVhWF;{DAx1#BaVKN01@p{LZ?Mo+&acll=nXWZ?PPByqxE2| zYMVhYwD;iC@ytdz>7TX75(K#78V0CoHwF!)d?$>3@L-PP-0@oLwz}=#NcpcbmVg z#G*S|;GvFbm&NKn?OFx+1BzT20Y6?2-_!)YFkr}3ev2td_$)Z?5HJ!zJM*5?I6V>R z4@$Q(DnM(nf?E#TGe<|2xCi1_^#~6Z+k~&KR==n-0U7=`v9TXNhArf(rjvKx0rM3u zJljpO{YBFm+EfbD#N<&+Cc@~Sr1W73?T0Uggy15V^R)11`HZIf>uIwFM#V|WfEaPy z?hCF{uN(;POOpY@CSMSn^pbDj^ODu8wACBRM=s1@#BHgdvVC6V;-027LmFaic`}r3 ziNK!IQy){yu-%*iyN1!5CReG{KIH=O`#-PTG}ll1Q9jWFTC4}7Ol*sREZ`RMh z55|_}x(WJD?n=#UjOB>HhaV*AVh!5;`YoF?EPuefYET|~7!KCw7B@m36|csYm=sZ7 zzb6i9e(h5;V$OXMy-K$1;iKA-jIWCKz+yYPB=_gulB=#(;ym}!6=8nN2gThrIsD>a zeO4=)e2$)cfS;3;8NnZXF)0dJDuq|!EiL9G&qySUBh`FuGdvLy@&1nsfQMK+kk{H~ zh@&(K{E-Sc*N@ZAsnE=GVyHY!|8f#zt*MINwW$(Ivy+B#)rzFR`QvEoEJ7;ee&yO_ z(DQ|x690`0{`Axf&|LwsO1{C6<4Z#k_<*!E7bRm+w8pI|N zU#p=5;TPwZ?ynE8#u!y>f+voOpZK85ePxa+O;V<}DPeAKaOI4e*=^oK>e+WtMtG!7 zULJQIG?9s=#(WKx&U#|M#6U1WTU)xT*vC~=n!hDDwj)SpmKlJ4H|{JqReO{lvFS$c zWRFQ8$y+16_~#Eus*OW2D`l?G3GOmJv!KOF2Z&7wbsOwxEf!ajd;q2jk*2s*E_QwE z7w_5rbSUJICypeH`ni7G>O9XH-sM|02nejTS9r44?+BL52GcbTnE;?L=1fR^mA7`{ zo9oyJG>5F4FF%F-sJXWgecW^JW~3*Uk(GQbue@C&$Ar+O=zhd{rU}E)nm=!Z~zUD>+O<_yDbVg!Q@c`qb zGq#Qjy=-9L5Z%pC@|RU&zVzOm%XAC#wD1W5e?P}Ku-@I+++3%z^)Lwpa!!yjA`6lJ zUik*}Bl_%Sa}D-L&o7vdE$(G@)4(+F`$bTd$XLOYt$ehbXl|PDS3vmNc5~EQ1M4}( zN$9M9{|*g6^t>PMXQHF|Gcyz5u*0rkmn~N_?~kg;=%F6qKW$Efx!~rg$KGf69VA&E z8v(OOzG&Kv7EKjy;nvgXvxe7dpV}l9q<~w^E24BeLedOc_4fED5Gbk;+V^HBN})Ci zFQo$fFglbcS&nHPH$7s#oJxc~xl`*FA31wx7uGvB=-cd5LAYGC+v7cWEt{vS-txPK zrE5faKukIgeKoYSooat9Fqa#~A54{fO~)COlWQCf3M(Q}K}35I zY-14bY*yFrVTd7;SU3H5AP0c_4WM-@YU3Iy(*f=VY25D1x6hwFL%plV;T?;yYQcL}L%}4_+ z%iLQ|u!D`L$wcKn|I18!LNd#%63^ijm)p^G)od4#qsU#zcm@d-=Z@rh;0q@}*GtC& z=lJrfwsJG?Ml?Dd%PL8}#1h|2VINj)2HpY;QUq^K1kJv2cZzf23(&fjp2SoVJjZa^ z1ui*s`KHwjL4t2fAi-S$`s}hW`$vMjAHd?Hv=qFo;N!a-y}!S42ZB$KM#kLS8vs&Y z;I{9j)n*nKQ!#3Ql>FiTb{%2pR2UEw*E{9E_O9^LTUckc{#j3yoZQPDJ?(|RgX*NO z`)C7H!*2!E&wnAJkw%FSSq}GcF7mzlPxi$+nsQ%1KMJMEHIF~FtTyKm-ci2j+}ozy z62MS6n~G@_R^Is zf#B8KZvp&hjM~ieo6R3lo{+wNk!^X=g{lUTwj_!y>_0pEHqw@vlS9Fl)4wS-p(Q|! z1#Trmk%*u$vT*(t*SB||QiA!@oU`HZR=@4T^8wfw1;Io);4rg}B#q@S)d03A-8y@I<1iU%ve#p^s?pLs1`JKLLB0pjY)+}|ORi_Z0P|i?dA<{i z!jUTyZA(0&tOSF-CsNWxZ)hxueNK2!WN1t%XGdCSpL#Ie9(McRh`44fb)?D#X-*tF z^A>R_ik#e?ct{q@`{npjk-q7}9&uT`$iZZ9W@*9^W% z$GY|38~EzKj0u&evqs>e9XgGMDNb|p6G;Qi+%5aG2t8FAeAhfm*XtCYRT+UvrnABO zU)8Vtl;3-J01WL@5tGUYU|UM$QSC1FeP)cJDQU$ECeqXd_EU)rLWx!cVR_|}qw6lc zFjjfBx>@9eCrn(BBj4N~I{j?snfamyK604r34;xYUrPHJJR+v6#vp;2aG zoxYvSM^-=}PNBjk!hgeoSBKOV8ZRp&y(=<~AmaK@8`I~?EKqpbUk8vw1cQsxq zVJ}F?FcoS#?uKc!<~=7ftvYsrxBzO8Z+g|(uzV))2u zGQGgJ-saJR)MO4N{C3~y4>`(O1y+o+8d2)p@>z;W6k=BSHFQ{#0(U?#3bxQ^XFRbo zk|<&z^My1v46BL)3kAGSrBkI?h1fl+D9WhfR7NZ?DCp&M4Gk?hi4&BIo7}dOGzuf9 z`*K9QK_Q{#XchZw&0wBQr?oooB2EM3JedBQLK zgU}b*KzFqt{8y~MZmd=SnsjwcX$AP1x}ttr+L|f5+Epun39*rGRUM2Ft#;l0S;G{z zB)S((gbtP6Ko&_*JUKSHdYX~O4m&O>=IqA3&kNV_xr4DAG>6z^s3(Gyk7@_9xrW&~ zD;!{dt6VGz7_Za2L*g-mfAG>K`#0Tc%mWYC9;`ED@{Y(u!AL?};@rPOHKETGS4`{( zyrB?mD%z(wrdL|C6bj8}+`#_A(o&|>R%Fb~!Xh-Q(oE!q*G=%l%L#+c9SW4D6MzMI{39ZbXAIi2woI z5t{6`!(N>pmv7pf$cWJ`t2cuHsiQcqm4m_a;2Vy zt>1%3tIrZ7tcMyjIZBf=3kxsMkif2rqxC5087Iug4O(7b zJltn-D`E9??zqYEk-FG<733G|v%{kf6zOTp2KtCD0FkR+FC~@b>IaIXju-gUpd9&i zaPZ}W;|&_8^m8yQnv*xFdI3W%<1-Uh-sq_O@!j*SnA3=m4$V{3L@a}d2 z_!f9Z0^})S$eb8EoO{)nllY&WBQq1YJ%H)V$|{^cZoL|~mqQ0kz|h0W#+C?9z4LMq z7GbV#b7l{YaEuA@y#M3T@(fe(cN2?Ao{|8|(k#=-jiJp=G z=&I`wHiS;^d1wrJUmWB|k{i)Hhq{Z~j%S@F9${F$pH{Ct!}CLUX(U$Y|-BWZddtH;URK6=b}-l+CdR25suS z5vQ`ZGOczt<4smgA&Qn>yu4b~AF~u_ua~~h@#gp1#_zAUyF0%T>^P@v68Q9AbjXh3`|LlLiyQi%w*h5Xmpj_>_ zH{V|H%QEWlL8m^xrMO z1?!EPj5tmn*4TXgp=@n?KS3pWIS5UHFsZXKc`NkYyMkpEXmEbDxo)|G16N1$Fv#*u zL>dsMgvY&Xj{Cizl#{s%@>h!sZG5P)t~r7O7*l9QHm^yjOmwq`)`4~VH$AqJGr2`uCTXmdA349w{m$%%(mVSPQ%))?%%uu%EZUBM=m%S+J^&F(o`k!QQVu47e z#HQDkyTfph5mDlTm-n-0Ibna_LB2JgF==0?XBk&%(i}6j$Od4g+p8UFp&!RK(=#%X zG*^er)o;o|AuUBVdol8fNkg2VkDJ_9^IUNrq{3pNOa7vf@&S4pwYiKm_LX^z1VyL> zG6bt{D=pPmq5Ce3&0~mxgx$p6zWVuElu}Dm_-|PcwH+)5583DQQn59$`LieR23X*e zn2$2Mo!Z2S4IkRDJ55V^lQt7id@Z{ZT8N+OL=X0c939bb}XBFt_XpI4m%}j)q{&c$=T!3BU@Nkr{%IJ?DU_WIpS)$5=xtm(89xa_- z9iLtlSz4--`obR-xW(FUg1kuZ%Xlpy080Uvi5KM-jTkV$b6+Er1kAErv|z%9S6!zE zANIIhnxL4ep?(TEoW5=qn5={6KZ_yQ4kUmgXNCqAIt)m^_J4UW?<(y_mVU z;N?_@IoR8SV3-%vz9&xYBaKF$akY5Py~4fGMz_M0*BpKa{BbqKLAW-Grb zo0Olkd^8Ry+RajfXiQreXbM2W%%26nQd%AJr7YGUUH=nfw;xI)lf?<>>ts>gGTcM8 z`A0|J?^($Ppy){KD2S9#huh<~Z|BqGj=q(;7(rlA{--`z{Mb^J@Wud!fH(`#A<6b< z=BX3AWKU3yM4H{0M8Fw?w*-%rWTZSrqc{;5qI6IwP!8VE0bLj4Eb9=zOgzm=l*Feo zGeV3I6FDF&ov;RD1gN3^Sh9ABXZ$ zFfCROrRS4-nX8JW8#bS%O``|6zdUpRV5Uq>;FzK>8qA~L6|Z<{@Wg5#Hb*NWJ^F!tm9r&w{rKULHdm79ml%g^Dj6e|TMNU)2jU{<=FA8GOl#7Gw z+C~-GWpTskG@ehnNB*>#k9~Fn8`=1Q9m%-z>o;LKGO{ZI*z0)X#Zn_O?wF zK&)qYf7IK3T3|OM#t)~iaY$w(oOLtM0~)>$BEn0u6&l2;3OwuvrZ>aSNyR(WdEsuj z)in+Mbwxv;)t8S~2TB-{-Hbk<3&;1h92Omk=nZyreo>oyk;2Q^9+_G@?Y$ThT5VYM z58Q5Y-TZRGf`;_aA$B9?bskzgL`KTeC#>1Cnm1Ainqt)dJF!9#Ckq0gpr`WV04J9v zb9C_nCtz94XN4af&0C7+5G7r zJE*C-CbvlZlB>ZF5)?6R3YqUibYxSdclg)^S-CDviuHOR*$8As^pXJ}P0%U(j zutYJ8MAKsEwED(ZSmxnMb z`*9?TAfbBDRU|9oP}QY@ug?zHI}zC#@C*J9E+@1E2c+dkR4}egHYjl={skJJ{K^8- zFb(DUIfsKxm6O0wd^&ZX{V9469>K767u_(|s>(_Q7kgd8X~31KpEjgTSNwT+30SL7 zP_YLyZg!`u>YAD&SNVNb$(9n>7(uccb9~Tm(s;4jk?@1;r_y=9Vc)-N7Lz%25IDg* zCUL8l<|3D_vzMAGrun*%-(%3$s-`Mu=K(dL4q8XBq(IEqUTJ!hMs{p zbz|IVV{iA*x1{lA4de00n|#vUniRX-VZj0QoOFvV?|(H2I1WVRM}$-Q5eK+#{-~+0 z?p*E(x9Ia0%uY?&r%{pp78Lo~@-_AcshUuSIhXAe<>GZJ8P+!%nigO%wIs(l_-D?J zi(E_bprxq=9?;mS`A}H3XJlVAqYEzciwPGxlvm&Y8%!52u!`^voJK_%FmX0^RNi3y)4=wI*HOcS2;->$kMMn(|IpF!bNna?y-A(-2F;U` zS3`8<@cilRaX>smm(1uS3gFl~K%%AK>1YV6ZIJoaAmeBmX40lSQ5z8yz@I|1d8_Yc z!1Fmld9_%bj^~-LN#OSVt&RWf+*ymkH@{q#*E$vIGmSWNwQ_q0E|prqpRD$#rQ;1Y zfAOvc_!hNrD8A^hCXHI6hfDr8ynA!;5yI*;*tdp(dfo+Dk4H1SN#|c4N*OHarIN zn)BxD>Bj}!X|@MmDE5%Mps*@)muJsW?^TbieH5^SDzb68TczCW-k|sHcyNarV|+zY zpy{HG>fXd5UwQO^D#A@!(!V5+{&cD*#zLtT$4KC1dd(~7-eM3$^%-y_SqXuZS6c16 z-+gnd4^1LS6oL!F@`BQHa#H8Mf(vn#AMkPp!=8+tg8U3_ZMi{~(4{#T6l5W16eW&Y z%9;d4BEz6S)MPQ*nxGGur_h134a#W;_j23tKNipl@Q{ zFVnATWm6GYPlPgGRP3(Vz9Kw5M9pUDYO9NL-53BOFTwS(i!srZ{peR%1ru7o7#0R>t<8K2}?Sy`!RYKk6$H5dqS;2}*4h_YS#&jT{m90p>g!O9RU z0R) z$2xg0KMIR15fI%0m`1?cmXMI}yXP^D2{CZw3P{9n(qNW<4hMWYkXCJZ6q!ZAr4KZM zE?wrJ$g(ea&i`Af@1Ul|^Rj{dr zs($;}pvRW}{@de(ENu1DM~fPZIaW%M;r4I}8c%=}^&|vt!mfv(draE=HvA9?KNqa> zq#*o@WVbqyRX)YYgrPvpt)aP6qu|4r_*%YjoHe>=_vBBL>j)%zt1?=>49}o-aJ-h0 z>t@BX$WV4{ea49WE!m?ezgN<3ON({;7-x1-O@qwxU-6Q0o9PCoZ9+S{>FZ(2`*%Uv zWjenT8zG&n_Wt6ys%2A*X@F_;$L{1Dc2Y=mUAOeO6hVsvSAkjA^mc{Pyj*8B@^kO@ zUqlC^Yj)(&OBd9YQH|(D&)LQxKJOM9AC;LLM`76F!R?g{u;KjO?%Qki<1-^hHlsw- zCWX9U2)C7qiOI)!mplG7=BXfAnE|!s=Kev+y#(;TudlsI zNby5Jki}3KUZS`LBgFhgllA9e%Q}Gkf$JK7ACMM`CljUQvQ%Fw73ftc$k*Fs01Mh0 z9q`!TSadKKq6<#7r!CFR%;6w#F%q7}@n(fFC^j@(aj?0MUiF(JaTv8^b(=<%ReppC zWC9BbO;R0L-9;jYyOZ-_36O=Y1$^KhsyuWJN?h4glOYi!3$VywWo6|A7Q$a9HQ1s@ z9n;cIynZ%}K2huK>7mYCmEoK~E=IcKt_^zn+Je9L)EAo=#pq2jlZr}R)s*QYKV<~} zhKZ!r`V9VP4jhwcm+s@I*`&b4U$6O&2Ll-@8?vM%Y9C||@TVKr&`Y&2#WL*k3V`72{#Ahij6v_0s zV8In9mcu_Cqrf$Lz#7joUNR-+*yRoD7+_~b6=@;ALx&6hDWl!V|=tw(27Li);$Apr3VE70N!D5IcFsNY$mO z%Ir2P6NmlOOO>PJRC@bo0yQ{rO|VH{xj_L)X+Q?s$Sy&XIEcex@0ZGxp-Jp)Z~#Fh z8odC3tFEsP-Sh%+)F6{XhIy09*xUPELs29=#qUfOHs^3*UdP|F%;;+4m-7LvR5VO? zu3-7G&-V1={%Fg8q^9^kE;Em4L;0icZ*YP<`h#P0VhuJ%kn+PdfZ-mN zlTu?IflQvY64O?k-h~2E#JtQuTnPu@O2~~*`5fDlhSqTQ+S(U9w~X#E+fP8=_@3Ke z0O=iHKDOH{)v`uk^rJisC1>5wZ*Gwb53;zr?w$HpdQ)7MF#9LVRi`MQPL7GGutZ(K zO%u;%TxbFB0|rae1b(bC z&69x!2QaZ73xioF{O}ggp+K5#4ujnvrOA&|M?ejhK@UtY7^8x0GF+~v4lj>|RkS8A zZ+*d>31&OKL>&`y{52)yH_@-nrrp7h1AWmO|0)w=@P*3%0UA7U+;M9jN74k{ROvj` zPV(t26!F(!aq4nlSjB+;2e1zmK*Tt3U7`n89kUepWGI^&Db+gWC9`V-fiISdG4?n~ zf48E!K|){7vR0_0o3)-dBea$?Di*5GA9{^ki^>R&3XIV{N6v~jGbHOMYDf1;N=(@k z#w}y^W0s~(UlUa-u+ZJx5qz=4P-SC}>&jYC!<9zss-03IfdW5HXUc@?Wn1#cT#G&2 zFgpsqI88_9f{>sg^`Sb~5hA2BKp#oEnj?&iTd zjkl#@j*mt7x@}lEj@EUBSWBk?<(-Y_^(8&xcq7?TbZ_L}DRlZzf1M}~%pVBmefcQw zj=}*x@J+8`;>5}3F!hjtm7|X9)l(rM&lrtL?Euy3q1H2eJCng~k;{O8Ldlt# z8PEg`ud9Pm2GE~{gx>sTLh>)b#+U~Jpaby8>b6jV5fLykG1UcF_kJL)y!^Iw7!Ofe z&7w+_{<_<24|MBr7jyLr8fu>dRudENHe`0>Dfckt;fcwE!KbH)2&FEN-RulL8g3sltSlS~01{U*;wiQ~TJ zeM6I71lFk_g_ba&5Px@p{ooA;tXj)#^UTKb9h-++cJKGKZWQ6kFCVTrfdmx5lA<3z zg2h{*wjuSzKK{k+M0~vTViHyRIeQ}R6Z*<9S*7cw1 z8F#2loFt)YnB<;v+V_RdgJ(z3Gzs>ez-ykz(=or0>-hu*!?yl-3hz@k{rqvdC>q^w zpqT?3IsiXBtcg9mOSP(#g7tpr+31nA^4h8l1yd;*7a&5AE9N8$K@Okew0>tZ0rKmL z>C2YAioY!uKb(;3RR0D8j`riMd&INfIbh@3F>EPcIQfmkU?mg~ZLWm}xJh_dKBZ0C z_~mIylHky|)RU^TJ>Gk^a|9>#HIytJx`OmL1aRO4+_rF!$Y;UJ30C3<9glusfpaPh z*y__&M!>8Z4;c|mU%YMr-@WD+%8vVp0rtt;=tPZd5mtb4s>=9zSFru?3Fr#Ux9Unu zYbU_;i81XCB!Hm$)p_@#C;_%R?};y^tKwbA4qc+0oJIWCAfm2`{Otk|aE($29$MY( z#{sbWw4Y1;!WKmXyph`v;ma8|8J&ZA3}NB{XMf8|hYt=a?Im0dh?Xt|igp2?8I{6vEA+s>DvNHM7IX;_SNOHbqny3iyKPJES_Foq-o$K7=?ko+p7@kBec>A)^U;cq-hGA3=wkBNFX; zRXsxT3+#&vK&V#ArIWk6rezHP^+8~Zc~0(bGq?eD_YayY^=Tse;#K`3q0mHXx}8Ob zxgrf_z}74zSH$uM_y48HL4Mbpd4H2=r^Y$H`tL|TH(ro7g_z1Se(L4Y)YL@LFEa~` zslJm|qeC?eX!Q>YzW5+w<4Qmx5i|#W8t7}Yf&XC5U{^5e_T_ETDzZ3L8f@bGLIp5+ zE79;=eq*#UHkQk<<544mL;0OAnc5_y94DOk_Oc)r)d(13fTCO9@&@)kEmSHE65ae1i0HoS!3cX_@(o>!_iF4u9t7!Mo?Y|K}BO$&FhbxBpeLp&{yQopHMB zAbOg7`4iKWRV?c$_dPLy*R4!XViXbX{{ED#k;h{YfT{cPH5xi0i?e!oczmCRjrVgK z_FZy459RQ?>e2AYEm~CtaSl=UqFT&=6V62$<{6B5?70Q<+U1HTfyFauL;)&YSXh`T z0g_wtr+3wuQ$P#7)vOG%h+$Ch#KEBSpK2BWGzw#l#Brcwl8=#E{gj{@y`Pkz6)pGy zW;(Wc3ck_sCtybTuoLPcW&UgycweiVczb680Qf)3v6?~?z!jtNZObZ3I2#ZQhsp2JMRN zlj6~4G@9!lAZlomG}6mYq9iH}H>2AqgjP2}R5(`!qhdHU*s;D=_%@B9Fa6`{2pnS}%cSZ?GZ$;+J*i3FEQ$s94l z4^1)s2Cf1PAE--HztsFLJeUH!4M6lj^?^Zw;8?tDDk;7WAZDvsKnt{a3MMyQYH;Mf zYB0|nM1hu)1gfGJN0$vHe+FBUtScz+ms^&Zzr7PB9jK+)Ozs4@L9 zf;w>U;3ZbDdQ~{yz}0G(T#35)^_J|mgHz81??GR5Z%q40F``%;j5WIVJC6iU2w}7| z5UtTjCKNE5Iy%OIJvEyNfW%{CpQS%#3}gJyxY=v6hR6YIxe{EOSi?n3zte}kF%^G~ z9EkPNPXr7lX-fI5k{`8zgCTnwEgDh@BLGf$?F8d!_YX@n6iSPqOM`fUH+Fuw$lohj zPW?jgZ)GB$8iDx&%p|*byiR$lM*8}_oLC@OY9tEqR%@peSwSQ#d(P$%?+o}LS^V@> zjC(htY5k2YYhF^@JOhFI=k9la7|i5)JRFJ%ad;-+Ki47E_lt zEEuRhxzTF9+AacFoKo7FfWQQjSXQDrhBqn!trF1CK!E{A3+Q<{)scY{)HWND<}OG# zNlAI`W&ntIX?D|%0~-eX zCxl$B_)!_aD%nDpr(fwgfY_EU*H2l{vSvP~z%2kg2S$Jmob6_IR536-Vb^?U%fX6* zfXD#mK5$VV`x-UWAlB-6*xK$CWzm?p6FjM!n$qM^N*lrq=kAK5}rzgX0$sC`nVQ`Ja;sGbP_ zuqLevp?(~79t?+sCcnneiKoFYjnZXI7~X7xhMk=y7}pQl5>Hg%T-Ai9@;6QtOu2ro z7tU#!-_(15=EDw@BrPp)a4{Et6p1qOUwZUua$BBpnX0L%xgOX9FDgWJoM zvrG-kj5L4=;FvKL0&&-4*o=B zh9X^Jp?rK5t8JgzJA!3G-!mLZ!0&&A3XqsA%++0MYtlbDBw5PEg+JwWlH(~v6grl` zDtTz5u%dzuI*=G;KGy&SaX|Y3Yv(U6{BdUgkEgE;h;r?sRY9aA1nE*zKuV-bLX-yS z6r{UBQt1#75fCY90qK%%5QcQ51SE#;4yn66_kQ>1@yB6i-uKzh-fOMBmd>0g87?>! z!jV_kh_}n-nrBT_lEvVPWE@&Ii-ba`(HUYq8#6LFUkAT(f@^D}^ksDE-SBxFrz@F1 z87jt+Uo40F9`rtzp6iYx=*d5P38Ut@G{@lkd}nC+V^C-HudCig6jn1UB4KL{lwU zBlb>LX*>}HvFda4BkS2Dc{*ZyU(|~tLw@UZItoBLR9#b3W~cXiyVyuCYpi%U-ze{o z`)L^p$7jBS2E$MQ8pJz*Sr2q9kk^9*aM7@tnzkg>@-hitg3KBU3 zi_db}vTD9M_=x{pqL;jy7s!QTw$l#eN3DLs-3pKjaLGDJ!gdF==CfyFwfgqz8e&g@ zlNNKicW(<62R~Fihh?snVaoL_@AE&;l+h?uxsH{&Ab=qC&$a%V~7JD3x$JW1Jb&64Aue9CEXBa>-(-?KwhAlG^f zR;QxTwWKG^EzD$9-lDe}1d9E)(e@+Sl*m5FGeL02JB5&9)DRUOfYbmgEzZ4XoNZE% zc&1^sCR8!97G{ZYJui-xS*)~=nPyT-PM!dR-g{cz?^)IRrB%eF%9On7YI#+a3{^Kk zIiUKwDRz*7uUax@M)Seai-`PM=Di|lnhRKAJvmD@Cb~Ln%+NSyj~9RA!7jLa=Th%4 zBvE|Ep80ONuY5Un#d}YD`-XJx*uQ(s=F?7k4MwYf0JQr)g)&c6OGRVY@`<_{M$S8@<{N!2If~RojJLmhYAmxxfK*fzdi@EJg0Qa-ufbY zxSU7pi=cVgub*VlKL0r4R(!E{PlDqIu}tlAGj`&3D4sH^*>~kXT40X6_w;KX^Cd!~ zZRc7zZB%ES&c>+Yb{Xcv1qc>1;0-Wo@aWtB*;oR}ZcJwKnQ6Is_cq?G>sp#x&yUX* zcyDhO*K0RAUWYd4@nHL*$hW7AOXe1^ znqJPWAfFQ^iXSsf+S8f;AYy|3MG~&o{%eyW#M^x0iAqT(!ujt~y*X58q;lUL4NB3T zV_iG_OkhS=W1T_V-U)zhR~N>$!Sj)H7mvT#(oT*Bp!h|?qYx(g zPn9#dJ9pr2+am2*zT=4Vpg@ITD%^7mHfLooXYqf?5?=llQf9hCrJVOVd-&zU*x6Q= z`I%qq#H@Flb~}j1pR_dMi?mD>Y9(zRekx;^9DMaC$uv(hOPjTScM8!TYxWZLU5VbE8J` zg0{QG5+%UTA6mQ)a!5f;YrbS>ZCHF_POUy>Yl2!9P-&UfIE|``+F2ZzGapUy7d5=EKPWPjrq-bOJhX9-R_NRk0RPC zGj}2i%I(Rh4t(#=T`8UlslmBGK~=mN;G{_-0u0N{0k=5-B3D_j13{$L3d7RxXn zfS8G4UOsX(NZ{uaNPMQ!Z~DD(dg<;QXGL9kK*qX)q9VAp+JFGKX^?ToB009x zf+;Zz1dt&`sj1Y^vP=MW0@fV62T0xmjlLLveLk1)b$Nz6<#dukoH)rJRTeR6=rI`h zFGW+85LEYCYn!zC&!XbDBsIW_!C{{9!p{h=wB!Es1$w4CSXO875DGqbzTpH}MsNff z#*LqKX>vIW%jfI2IXicrj_^4s9HY_<#>4gF#FEe$;~_X z7{6?jgEC9O0((^`iT3ZkVr>#I+&vXoYFH+`;Z6R)_k5Q?&iG@}r|Xhm^o!JJa97-g zT;JS#zwWwX&=6L<{dYq5f)P0@JuY21SlhT`IkYvCpgy z8pD*Qn?utURh6?X`I6NhGwv~8a5sC=*S|0Iw{vi)sIQmLL;ib(i}tbebMD&+`(Exc z=e1NVk#kn~-!?Z47>bFb!FOAzjRxZ|(Z({xI;En%^fQZu~Hm6o0jOlo=tqO9k z?-2Hw@0WfxT<*z$OKxks(@Ywv?J*6w^0$%_1QltHDoszGpDpVScn`1{XG7oEQ)PW+ZD*NZ6v!=L`Nn)lB>CA6clX>&s*07fjqv+@Ec1T^ zmX6gP@O3xs<4Ewu&&qD`O*}H1v+YMIyN8N69fwEx^=9W@9F^v67UP4u?bB8AMbDH>lZ`Zo8u-K@B9apYqvH8Q-@>SZT<$N1Q~ zWeKWwq;kcJLSw&!EP9#2UTnQ83Z^W+Qd{C-zg5P|vzZHn0ayuy7CS395M(Z@J$Iz$#wD0)ueQ^1 zzDF#u=M?=qN`)K}YRzZ|3IT$rYUyc&JK3nWJeWuna!_FrGOO z851sDRNTK*_S?t}{(`wka(zyc{K$(y70<@TM!(h>^8V!QJVJFRGgSFbew`(HE)0pR zZx+I44jwGX{qg>U`({g`0aV4CbyHD#oMd(eYN)>(HD2C3OS)Ws@7E(qNXxRqTzSIt z*7b32fYDp^wX$25*G60^%)FDYjvX#T0IS%Vo?4J*D~lt=HYmO<^v`J==_tW>4~2=ZC5ljurtn@;P3<74Ty`2 zOB~?Q2?+@xko|edV67Ic_%OM@H=%S<`Kn7grU>ORY{*$4SR|-nq+7w*tYBiU7S;>f^Im;`}p^{+2(S+$D@RVb+}g zusOc&JJXPSGVSGI@Vv+d#c<@s_9uHIim01axa?I=nN~Q5ZlzMhodYiE>Zp^5)ZS}XOOVk86F7dfkIkMip3!p+Qt`Sa^v2(oQqei*s1!a~Vs`|_&E zH^q0Aap?_7Oz2@a`k-lrK210m7xxoh3dVT3p7|RFW8ig|RZ>!-`lNa48IvvQt%SrL z2KN*+7(Wvj)tlPFy0~nT!Ob7x`lk&>qvt(xZlSFSVaDVR^WzejQ696IU+M@63|?iA5PYs#Zyj{#$R= zk)+nvjDvvf}5_+iN*WbWAZjOY|De`w=_B{ z?K(WF-lk*{xCn$X-Ps@~pVLKTnoLevO{SoGMaZZ{NSf)a(i8Ir1_mA+AES0XO>g?< zsKug7Ju|YKOkgm9%=?4{lIPaaT`F2yq>mmw0_?PRwiTK?z`*C;85kJ+R06R%pbAk@ zeS4+SK~F$6Ip3J)IBI(-hHj~S)1gBKbNODalB=|cH3Lo_^p$vk~; zH;Idf=e*QM{$Ty?>+2@#^dH&nYxL|drE^xn?gMmtfFH3Cf5=wy;WWk}iZAk5aCU`2 zqcHAz}(9w-NoZVjp7@>?I>>zSx*X3 z<26JCG)^6Gn|{{MD)^>B?DvZX^=Nyd<;d+}&;7yS_sD1WT zKKY~@r+arEK7815=Qd@c08?AU@}bx2=H?=(&8fuwQq=Mp%+~J9=Bu#q@?_(tg0{D= zuI?Hp1#-$ogY4!B=kdn;)kXa>7Wz5a0H)DN@9|87Q3F3gNu{V4Gf0|Bejg7qeb$b$ z+)Ez|8SC)Z=lEF04PFGKHjl-y`>wA)juIVaQSLN387o<~5I-Ydl)N6;_4=3ct7``( z5}sFnN7DDDySu&)X{Q-z6_s;6?levlL{9DBooeG|HV$x5qy`( zctwV>>q!;b?)3JvVEQ0YxU}h8bh=xd_nBpJ{ept!#}yk4IhFEWgm5-b0Sr81dbgHr zBWx~eX8S65664=#s4oLrR|`rFy;0WZ?R6jiWEECe6nA$fJk zge4^(JQ|`|Y!a^7^N2}bZ293t4t?}VOI~Po>=z&il%!R=oz}vDiZk>ll`Rb+Y^7csQ+LQ)Z z_xM?zZAAfrE8nN>;aYwx@kTAbV`_>DbR1%Th?te0t-nxKR&FnBQec-M0*?`(w2WUj z2Dws?lyfOm%<1G2nv!b}!xu9{F1T7SzoMoNYB#pV!4cpgr`q2auuFD3r(8`^)wog6 zt3ziqY0INX<5atXhoOV^u2W=VVm$gq@cY63IvQGw7yIAB1y}73vshU9?N?_neV5DD z?j>MH-7^HS&}{}2w6*=yg&jLfOU!mIxc#U?@u)NPIgn#xvbFl=2PaRCI?QW5T!Jo^ zmjnfiD$MrHr&e`{BfhW*P-EBVKkhqH_PKC-Y|Xp7)TWPzw9O1>`s2fUI+$}hsE{LB zV!ZRA*u`t#-2D?1JqM|;$Df|vi?g10?_Q4c-J@X5z`wzHqoP2re|>Q^Fa2rJh~>=z zWGRN?by`hgyurb&8K+R&S8D(EN@YOjg4%Ti>K7^?0435{s&HAGo|LF~uhen4#7j$* z&vL!_rboI)lW|FCeXnNn;im5IJ-W4cy5CX;9HcOoC?c~L&((TkHnV5XMh@p8)e()Y=JHpqZU|#os-CabCNXnQ@tv#Z6Xs68~p4 z`Pw@c zbMm>MAVuJSYLQ4hx3g&f7@r2EFxomhi$SuCoT|$U7WOD&q&RRwXz0dWedB?jeNB2l z?3?7dP+m*sJ!>-@BxRIQH)`Ku>Y18`PKEhx(dvFlfxg7c?yL6+dHZKaPW{S$lCZV% zb>zfdpbsS_CG9L2V9zhVK1yg~movTm%GUWqVM4;!hqox}?*>~KaPa04-NABS-gmX& zVR3O$sGC+eJjz7B0WUdt@Pc;`lT0Y;&i&HTygb>_$cX;LZqz*j zOfGS8WjJj~3iHQjR(5t~o}QmZM>U^IN`twl#$COC|Dk~V_|rrYNnzZZK``g2&F2uhn{UoD&swFus%8O=JAiuW#!IlcNNU33MA?^51vM?Ptp`zUzx{@DX~n%{DtF|>iGI=mY-<+WZ! zCE)mm6vWxDx}&+dxm$O3xE^+q)ofaJ^RAyOX}xET9{8E&_bDq!NvSVk;@4tc=2()J z*XIR`_>75w;s4icc1i7|bCe|V)g!5d>VE7dccfl!D<2Pf^^b6ZcLtwY@wy5S@H73Dd5fY zwBj+f$568wj$uh6V5ovBAUawz;g*0#L`{_nE;_^aDvf~Yow`YIsCCRMAS)B88z7Fj z8^8d4j>Pj5XGQgq#dGnDQNjf7;h<`@9M@eZl2M-6M3#@U_v!S$hJzLXrb~F3*YZh|z^LGQ?<5a8Pw>6{eY>iDHXZ&MT+F(F9<@!_x0UktqVb5)?zv|zbrt-Ud ztt7gO4o`RXcU9EWM|Ab`P3~yq6oKjNw>1cOLnQGiThEcaz_){;8dTjR2QqMZ z5;`hr@D}*dKB)LX=W|9v?<0exY>(-?wlugzG3a0UP6rF5;S4JA-jdknIxpAbEZZ%& zqbwOa!+GNEurPS$HX9+lHJfDmfk^yHFl173dHaGUP_O!06o1}SjGuH&d+S##2$JDX zM4ac(#8exj4R6_xaylpmw9?^Cd7BP1E3Hs$?hC+tQOIKG=1TiYx7ZdU$7&0dwF# z+?8o$d4KrlPf2KSuf;x-Ha`mED~0VHaBhr!hW-X_L9Ce4FTmIfr9Rd8r$1&8yhGzT zOp#l_YG-G+=RRUxmC;tlo{s@>t0xzJA9}KVpNAW$0gR@l4JEz>RyCi_3V)sEc_EkQ=|4# zD18T=Pu2bSX+9qs^=f!%V~}Xl@{B1h%5SoBxiLLoaZ`!WE_$W7+JM_Y^0*ccHri+hU>glyx|J1{ zk>CpbvaU$XPEpmxElV#@{(-( zY{8*vvDrwmf#)-2Dbr`q{ow`i#IBqZxZClEJRR107s>WcS&%9%Fff%7VO39iu}x1; z?=`}j&V2p0SoGCF9=qr&xA7--SUPw8FWhc1vEai1oJD6;d~LYo51I~Xn6(VAyC2Xjj9nh?;7ksf)MX?xcm zTLFDBD?9bH@-@W6ckZmtUw^M66FGmIP_Bptd%_k17EMRff4n0W0jnF3ux3BBx3zuO z4!I{*6yS14AmkQd9~$Ur!3>M6X{}G>l5qXfV@&8I8cLLPXVZK(xWRI7E_-<6vGWO+ zTMgyiuwk+T;fp$=(8| z(i_RspOcepY`-Eq@5jppLr)88To8eLGio;EGwmN7M4YjdyWfw+EGSSb9Le64=Y0^8Ed0LWzhuS0T`eLjMVe z`X5vY%Iimu(CB(z)avJIv-i^3NZg?>8+n8)_51f1r~6Kn7qPE5BH+@RKWyCRsKJ4l#4KOZj7GWH>SY2PO+B8Na4<*H|B(XVN49_A8HfDfEJ@SfoU4|lXGyXj+|oqSvYD4myX)}mr$z_qnXzG>!~XZn zi~qaoR2n|tGE5l?ijrk{s=5ADeyW6@jm&wl@py0NfHx!X7WcWIkl)pD5^(Z^&F45A z8lB(QIXKRCLUYhPyqrHkH_fEjUIIy5cuKED)Gz$N(ZDse+%8LszJw{3uKb%NAsWdO zA(_qxybS%q9$O5=*xY=4T?-2g@ZJNT(lZ9jFKB3J&VdXY+MjcWM@AT>4myV97FH^& zs-BxHI@f|rr85h7UOkAH<1zZdg$vW!M~lexDu7gbltpL&_airD@!4%F;naPYIm`lg z+Pin}hW`BFVA}+SoZbZ!P4_H~J(5td25h5f0QWIo!+ zFdY(QN{m*s%+vPUlmat91DY%1(yDBn1gPLMyc7~XnNdz{FL@v!NiD4>41iFF2{%T~ z#!F-4w^KhbyQ8TA>4&ld3z;DQ8C#Dpcu@AF&jP96sJYmiX0N2UXchT=HT?=FVsai<{#%RVSIzxO$dgF^>(>Sq64qf zA<<*5a)0qh;-^@-ll>>r)ULKO9D{m`Cb4)LW?wa>a)uNBN{A`@vq)P_w58=4OUbPY z4J45lbVol&4EAnNBg+5jPSx_cxVYX-Zkjtge~`?01ERA8*Nmf6GmsYK?8%y*hYeYz z4<1Jh7XH|TtjenhgQ|xQb0-z2agSi8^7JwbKjZL9#Dv<~~5QmFM5JM^Z z9oO5IXokNQ0dGSVYlg!6JnrP~<0UXB0kNWd?WRxqH@Fz*J-smMN}yE8M^W96Ew z1RF`di!sI!AD#2G8+1es!z>2V)8BL|LYkVyZoIw59JAG}%D2PJM{pRj;7dE@lVfW@ z6jdfkUG;N|6catWz}npU!;3-DphBM33R&xpELHZ3f&D!Eml@pLkJ}^dNi9fkSG%(6 zd!Js@`zy?%xdtbu_uq-3<&F8l+L5d%scGLBbX&$W?z~((>RwpMExgb`kBePe#8opm z9c-NZIkq(L)3<2er!Lnr>i-=@nLoA;R}9U@%B%-7vy*pY!erkO zC8KSwlu8X~X)d4@xX3zCyR*BV3{ME(Mgy#ed;2ylJOHc-hWm)9OO=L#>}6s5lRum0=F>s}tuN^< z$;UU`Q6s#4UeqO-FuEWv5<0yTLamn@48>Ggxbj$B8SVr@#?mM+_QQt&&aM8bjv6TD zNYY}sai7w7Lil>N%tJEV-nq|TABn!+V}Nf?PZHT9k_|;(DAnA{>$5gHY$Y4}N-v8y zct5;eBiE9(+fqTKUt1iUQB0uaU~3_yF+VOHvR+denCa*xgh(>^q~go(;d74m5wTda zQv<$LIAu5O0QN8>2l#&!Wpe4VGZ$J5R^ntOBP-mBOX>b;eVbr-vYG+ez|KMwq}Wc# zK3t~KYg2bHOG~l>-6Y_XeCT?A&rSzu=|g1RFt1{Qf$2b6PL`pCE7bNe{dSlRp*4aw z-bajfb8{13h9sSnLW%LY&RSg{OTDEPxRP2B$I+U6(Ib8b%5T`*;$Pwf<0BNzpOp9HeWw?*3pqE-NN2I0l6!{ zzRXuEO0%K;4wO{<-%jJPqrIpDLkh@SG>KWO6@x-EmFCxBI_wP zajrI>r=MwBRrs|h%;;#WBLS2(Xj=_a-9|o_S?42Cd7sah?SlTp?`dK+LW~ZjkG-l5 zX<}}{|1qA@;jUkN_lc(63N{Mme1bNlRk&MGVWHzOVJ48OBtnBP1;!_+Jf*oRyT6&L zzaK{-#E-Ze>fLwSj4m0sz1JSFCdecrdj@H}!ln+#Q2VDVD=T!T{+Iav0*|Da(q;42 zPnK4Z3ZvFk!tU=>Sfo8X_~DX(Cvfi9{4I?1Uf7)DClKi|cG%Y>1F+vV$Ca-h5gv}! z)zuZ&jXF3wx`T<18QQ*=tEWPN*1gfWx(Jwq5v})9#&17dBIMS6EnT& zJUlrm5671b_vg$^%-}LA2T%zWmRa|DLGL4Wz<&YwTD^j`kv=fWjrw8KUH`m)e z){8c-&YG8XV?rmX@yb!CU#Uu&Wn?!)15Jeb(Wa-Ri<>@IH8#TUm^4HGBMVA5E5~k$ zX5rkS7xZI1vNvYo77Z`065x|Bg{jbkZ%F+3GCW z2cMWo9Id@Rx0ogNv_<5{F=O4uW|8o5{YcNO^aU(wkTWxbzpHG*J53zM&vO2g7v+m! zWMk`njW@#TG$91z9|>N^w|^}b)t;RjASs%|1vlLurss}o(+FO z_AE}*@xu-d2(0bQ_Bu&-hksmParjRS|BjGX{i;>i_svMTJ6@~Y3CRR94Sg@{n;$1P zo9MhB5McgbG-S9_`$l|p-7U%Yfv#g@XD05UCUJ1^gjL8H@$W3ZjndEw+u#ZH@JV;P zAtZ^3{BgX9vt@#}J=N?SXkth-|4<*ZG7+I#F8}b;Z9EKPmF5#Nt z;^&uzb@cjrO6ZWmPvT#0EAOzI0jqk)tmHH2yD}L?MYrEL3Me!hCdQ{q@)#6pnz41y z&u985h7Ua@JYZM)dq3HdaadDB!<=rlE;>!lDbcu86)CWGy#F#^`s#p}5HXL+?IEG) zkj4Z z%h0Y5sIz{frM`(=7_MencOdJUzGK$^yNdMWywmZysZ{uk>aZ;n&uyqQqN1YC&ki;! z2KRQ_@m&xPYhJEs6y#%_lg*e<3A7UU#A|wqo!g29mK%$zq zc8h>hztPhja@()blDBxo0>h8wE2;>nS+&)GfdiiI}$@_48@9a#MYOiD5^N?OI zFyDGF2yO2`=?e?UspD8*s7dC^Hb~Tj*Ip%nEUo3Hn zP5L17q={QIZN1t(LcFXFl(s!TDBz@7I^6T(IBJqhGaUtz&7{i0a6DN^GV_{)4;!iV z{Z1EwE`wJ|p99{s>>|Y-K}0#2S^x8!gLI&@w5O`XI-u0d#ce+F6!~S1(Nl&(ms0(6 zxK$5TQla?(QwvY%`Q3t)LFU^G~&HTtmEqbF z#M>h%)6uPY~mEjGoR2?;h}!lCn__?u@v;;w;5-OiZ<-D;gHou`+I)6 zB`cdx9LX-7g{xUeRb@x@xh>RZc8yQf_fd*|1b3-Z^2gUW6XhxjcVXBK8}6lIAbc+> zFeKZkyHHCCR}Ly>H`Y$y+V=-qW<bv>9n42WmK1TJ4?Z%tv$hD4bwZ_t|0JGta@x z3xPXWU4+4I8 zxdFGl_7?5D8rh>()OAqnB2w=!F8cP`qaKDwydk1DDG<`Wr&;)4bUUeI(0(wcTKW}n zvX^G*cV)1oydVxhJgm6z^_51uZVh&TU(}5CRmU+u;syo=vuo*U)Da0awLOWZJt*}Z zjM{685c1lcir6tnlxJ%wA$fK6^nl#48fUd5DlD#8+@t;|e-qDVyLoRl6{`TYw|DT3 zEV?(F6~B1n`2SVD`jPvG#W=kyYI4-EjqK(2$C@7hKiB^U(gk~F{Xy@bEs)GyJ3cdt zTR2Q?)ssp2^NpZG-WYkCzvVXndD~)Mn&0PkFc#G^Qwt~{$>~Ztp4jfPzg0ix* zcsxt$>ytt20-OnmJGz(mjde(%i0i*zjQ^)aa24vmtEJz%)St|W=|R$t4T%pcE0(-T zwfdyv@$hHhAuz=CJew${Qzj`~0)mminxeiOQTi z)treq6BMxZwqtvqBI-=cr_Xr8XBH*h1Wt920hW52$XW^j+mf~j^X*CS5o>VECoYu?bf za9zsuzk%Yfk$y(Wo;LTa1ClK>!?m8qT{Y|tp1SSQ8jL~g!;3+Y_TjT_3k$IrW-6wY zaF#;qsipIE;&t^i_Qv7h2QmGat_s zCDzXS-AXBRyKrJ11;8LdHx!f+pL2U~+n`4fph`&c2ce^xi`YNCDM$dIECLsD8c9YF zJ{LR7H}AZAo`5hrtss_Z-9COb$ww0-%bN5M@u79#ezMb|qby4jybbj9^dNM?Mu?PU zWd%Z44+m{O3AZ~!W`G1+UG0HfNGnn2{W#u$BpY7c5guOWcw)M1pK|V$wLSsBa1n(Y z+Wsq2hA)W;h@MW~+Hace5uKLuOcS0PWRdWy{hoYoI~k(EL6nx91-_75BV;NMk7&}D z4ET+@4*JM*b4QTMaGl)ljsi@c3?eluI;rGu1+@X-D|N4+H?)(B{cFB;6SA#C1 z)w;VkZVzE+qp6u;B$LbxeyOom>;27oe2q=*iSV^J{?AP!{%N_^8!-8XA! ze>YOPZ#T`BL-U)do72C!l(1#Lme6U1G>yv5V8u?bBkDI_?D`5g!izj5ZXO;<5Uv4K z^8w1$wJn5BpIkR;^pRGX?1gxkqQs-840My zzuj=(6@oHIZhZZcXVH;h#LXx7xrXW|bqxs6HKQ0UiB$>XMwt96AOFU3@N50k2g$wtVeJs|$BG=}Boy7SCic=FGcpA~7z*m_WLJszr{ zaN&J6)VPcY4UIO?GfYoIxiJTb|2iY04cc~LD!|5dwD0l22Wn8~N<^5!eisVEU&>C8k@wamTUpEz(8TZB?vSGFr}?83EH{9 zzZLQXK*m-r3D949I&+c&G=Zxdw!DF9fSf|1g|)|B&lIq?|JlRv>g@Q{>qc~8A%Txd z6-RyK*t{5GgGiOXA1%ilwVS4HyIz}?NFI~FN7F4T@Z)qJq{^&no0VKba#~e#w+OI8 zSFwXVjs4OnNl1GJ`etvQuktP{r*%+}eVJS|Nk%?z)PFU)K3`ymb|R|uE8-S#V=n0+ zh5Y79IycdVT~fdbv8aK!(u^0vx65h~?HGBT2PscwCFVl@Q1}b$X50A&4SWi1ettyNU8(@SXyc2Kqf#uV^YkNjid;TQ){0(Ta+wSE7&Fjr)Fm{ z8%ryzd#OrUW)=E;+^rOfD1F&mwUE*`sa2-U0BVKn31l?=eSIqIBv{EzM(iZD_Y>*k z;$Pag-T!&%U<&s=bLX7Hs5 z2OH}8Pw~Hm&04Ix0l7}e#-*Q>_OqfWvFi1?#FXmoP+tiBJn0FF)IGQ8X^oc-tmHcB z{)TY1hxE20nS^KDYWlS9OmaRU2;R`)&C^NfJXv|JyG)CU+tx$a*7dax%MfdHE>}7V zKCV7^D(Gk)d#pd9*rbo@LJ_J$qxsvYK<9!235N*CqoSfBxaH-&UyG#!*y^|xDsHO97ipqHhJ!=p zC{(-U;U~-IfOS?^S||*N%JoXMeo%CCLcH{M*{9kEXA>v+%G|#5=o7LuPlkDa!*TYZ zs82q^_aiVEGed(`gas<-Ub&};5*JxE{JovkJZ@U=cSpKW znO1us^T{>+z#Em4zN{%SBi6F*I28MANQ_Hjt^-TALgz+HnOty^xV+HuY5)#V98D%L)A&izXn$LtQO=4TpL>smX3OyGnXIl9A zo<4|uiS#}0c^ha<2IJ_wqW~;W7MYV?ke+yBUiIOB8-!n+!Whu zM855wUGShiA&{L*CDr%}dOm30RwpcKy-m?ac=N#@$;K&GFH**xC2H*#+Np?q`d?x& zbMt0ur(Wa%#SB6zZ9)0N^WR$yM28zX0^SKnTlV%%hngu$%rJ28oq$&2cMR>abxf#_ zm~uyTZF~93f#(V@uJxf1WWta}?sf+ToY42*OY;gNE%shV*H0h#??$pyiS}+xRJh)a{B$UUQy^D@xM|NnIdf(> z>T^`#{7M`2Wfcl9I~{Mm7nCh1$h4yP*J$8$|9w=vgYo zTPO`6XK311RXoq1eYhZU6WeF@->v?mz`y(Z|6NU?a5b%;#9$oQP&|Gq6#M0BKfQa? z{RQwlZu;6I9pc<%kSxR2bRt7@c6sci!FmE=pT%s&vn?~{itQmEpE)kx5_{9W%0Puj zgozHs8SLc2LJL@QxANew-NKvI(wGiX z$Q+!$PUDDQsofHa7T-m$&0z%DtY|VH%m5?S@zBEjGrJkF&W@qY1Mdg@stCM3bDln= zul zu-a(|=4cq~c1u6S&39Q=iKc!6t>6`oqcb_xvOOy%DCX zQ;#?Q1Ng$m&O$6dGr=)R`}IZ(SICF)TLOW!YPt?b;`MAVGqba{oE^CjOZ+$L|79o$ zxJ7Js$Hd{H&mz+k=0XzNa>77{j_MLWL3>?WyuNYTM(PNI&y+<57ck=BF$Qlk5fPDk z^U>qW7d+vHMb56qZyOCc`9T~wx~_irrUysp45}4W7VARQb_i_s;gEX_Lne;kA%fZ0 zN8nihAV*Dmk!Ldrmoin!8u4=`H3`?q`$&gx#*^MDkBC0KJHBUDO+)D1PqI5^pE49L zV}kEgF4*4>Ji3Qj01T3#YZ)3MDARt|+jgTU~Zt%`T>U1U2L9B{t9QzAw?>OJ#s2LR^00*~0cbmtqS%V_%8gW{){b_496v(S*` zjs@7cMLWN~2X8*(`E@skd2VjE-6f@*f6xEol+^5@9nrQeFaJx>E&TqE3%tzoJ*seZ zb2HehGkID1Q`2mc55CJNr_Yn>=XbGh@=g2JsN>6kAdTJ1!6EUsJt$Fuvl;L?EVPx& z+ZCW%z@uRp8SRSN-`CgSh$~|^hd?AtoAxSOd}yLcE1RpTtD*VIDVO0j&qtw%A4Vp1 z$`sTMtn}g94YSBzLsP-Nd3kzy2KgLm`&n5HpL$APlKpyH=A1;ToStjrM{}En4SSF= z&Jz?AwnU>3nkN<2Rl^?g2SE#$Y>Dgp_wB{!kck=PgI>0zi!T11C1=QKOt8ca^Wh~H z*_3$s@{P?_LmYH^FoMy{uebD7zc>+$r);n}XTVg~aa{ny)#JZL6o^)vlDRb$Q@KvDWz zNA&YgcZ9H&eC#$}dcO+LW_V&Dufzn$K29t1ubv=P(_EP_W?yLO~hds`j3)baw zB$XZymeH=$R{iDC($e}2VaK)y(f{6Rhs!LMUdEYy*cP(oDH^c`SMj7yptit|l61U0 z$SV)VXh0qT1<>US9f>52r40AC(%P#}DKjY`ioR;ei3s!Ap7 z?4!GF9)HLn2si!EqSYKx_RZQWdEdH>)a8t+`Y(6w@CQq@2{ zX8jnppWyOz6@0&WiSxUUMhf)q%1tT0x7w%sqpWM}{RY3dUZ4Z%*Hn=ggoHltlbJJoj-T z%rkz2=u9o>9jnlpGIXHF`KoTxXjV44DA}{#ipUrFCNw~Z^p?xdQ zRtjXx*tG94r~ak&Xrq=C-Ed?AkcxS6>8T3bv1O+}ESmo%%Ipo#BvR_js6x9(I(1Zq z`^nJm6AR`c<*8`0=d1tQyHNh?UC#Dthw1L(V!(u1J|{osRzC3!x1pLn68uu~_BgL3 z<;Er!oSgy@GF`kqpP6uy`H_$LLUc<|y8797$qaSx|Gn6bTVHwEA95S05o0na>Tt<{ z*Av*h!gqsxiVsy=SNg1F;ay*HNChh(RZ^>b<8@OoS{{QGYk&evE>vGf=f-U#2b&36O+b1_e`WbU)a%e}jcef#lIjQ_jI z>ZBXxEgp&KC1SImA=>^=)wl80jg5~|%1-CfPdfXLry(;VQJsS=LUOzDxc90#VQ$f8 z?rFf4?TXEE@UCkdSarZe`yWU&iAyREkqB|_@sTCR?g3!*O?Lf<^1HExaKi;Cbo*!QgsN@9P_Q}(vC&B{_ksdB3fmoxrFNq9KW8+~m|-Sj^RMQ=B@odjPV&4BG@_ z#C+IbcRwP2Ulm&`RbZ}6N>LC-i^Y=98=UzMNwAV;W0eBhP( z85vH9x#L6EqTs<#d$Pd%f7*NRaH``sZv03hyCE|p*?Wb;ky(Vw%-+i0dq+kxD%q4m zju0h#XM_+5Ss{BIo5OKD_v!n6e$Vq<*Yo@T_s8#ax~|jJ8Sl^gbHDHLx?lHwo9Ui8 z@rS^#!jPhLIG}kyxE@0?<}=mwDZ%C=ZM^oj@@UnH-tVy+f4!7+u|+{SX5Q2slZ=xj zSl+)&DH!a`rB_c&x4q>*5xoUEl`)v58!t|x^>_fzD!vbFX_41{Tekzvju?i2+MmwU z#7zp{I`jDJWygm1kmrQ89l{_krJ5C38p zn<)P*D}^g)QK3%`hv%Fkc9-YE)6DoFYeEY$Q_2Fl`aMOcIDx4Yy`61FLO|pqs}^bG zH5GC@vog7yQkjbW5-#b1TtKH}3 z>ADg0M{BC|vAnCW2s?Ke-Q$~0Z4bjklRDd!B!x*22(Of=&6JBIDw_zgalW`|r}k&Qt~Q=rhSIuLht?<4Gb<%fg-nO&9j&De*~M&t0LWD`hMaz#<;PjW zz_3y168LuY8FEyum_#GnPaxExyIg2A7KW!5x zXcAgpb{&=7|Fco!Mc3df!ug0nFDv+Zucwr2ULSGeV2lp|lcPhc7cnKk4XhO|EZ01} zro%bZ6V>vdF+Nl>fE@?Tt$AZjoGDwBh-I{fCg=1=#-+UB8whfF|E1lhE;VPrQ82pR zRwbtN^v>UBY;tX6>CooM{1hk+pVbW6Hz7BxqyJ}rl$Xo>mQQPH|(mp&Ihi6mfwIl-5k63&K$Rdlik+Z zN0YT-tu!4Gq9U_I(rI^=CpZI8{tuF51V`C9=*X8lIJhXpy|sRcQvjX#(Eg75xJTYg zhJ62;z7emnY1h9W>N-ma;tLbn8BTteXKH^)c2yjFtx{ATgU;CV6My<~lA z^*mwVKCtNPW>TMuUm6tYM|VW*c|+}UVDE}DYuZ;2R4kby+dGx`uaU!MrCRxQ0gHD( zJ57?$)$hAvUf*<;&XS@)Oa?Q`A6E2~Q1Ujjat;k!4aQv9c*wA)ks8|0mEHM1bZ?KX znG$`ru+qLLY4b!Vha=&s?k(1pwIkz3)jfq5&%$M8^^4^)t-ERB{s!mW=YdYf&^^n% z^$7*gSvD|%z6aA$yHv%drL=@+$eVVS2A`&rY!^aR4NR-q+${~c45HiG7lQK`_gl!C zla{)20k(b$qngbXmB2!U*4CQtneCWXsfp?xj%Vp`VGg>OvN}nT(@Id9Z-LvK^_>YP z+ZYHyHy1vVlCwM=URoEvfBnV}qNW=UsW*CW+{(MZ;a^W*Z~M1m`vsq#`ToyB-;fT< zI33;bIyRgX-|vWc8{h6v8*h|lM2nG+^{v(X|M(H|<(n>h1Snup`X?RpV~_-V=PJJy6@ zbppw1c?&7$mNqxtEvM9Y^~tKPwtkRtu0F5l(s=Y-DClek74z44bRcnoG!q>)x#j1n z1Xq39GjuI4^hp9OR}G90JK3of{`hP!vY`+E{oZAC`kw+&uLudWjgvp$V3_`ES?lPrE1It4c%O7-Z6e- z=LJX&UY~_Q~yki=BQYVDvHg z*#CGBT6TKhcp}dlN-t*XSz9keMl1L;XMX~Y^`n9;y$v+0=#6=n`J5PilgRH-j^fZp zD)sz!Rgj$VMH2JGT=Sn%!=yA#tcVlW&9+qERtngVxeON-;k2)`$hs3>(U`p?b`krZ z-1YY~D0AFvC;T7xZ%ns_t&}`&oo>oF*){V8$H08??wu?V!j6Q?iXEW@bm_Ou6NjJP zm5HZB*i}|qbw?fXo#=Idt8h18tK%ei%|Ys9@m^J8_TU1V))*?I5+~6g*a8Sk8kwDt zST?!0k9v@tt=Jbw0rM;??j&O3T+cO0!k`WrD0>Hia*$6v4rd{aJX}?wecDD1Ps*s> zvol+7P`tpw__K|nCXL(*HU>(%zJAK&GYOU$C56)YZzbQis;oCeOe3smwW@1W<=!;M zMchi*mV7d*fb!`RGK_do+CW;_8s;_Q_lbZbX)%EQ>E* zX!oxbItsAzDk>P8i;#i@664V)TlqXn zRmZId*@Kkj5kILDwIOZ4d_96>Q4Pi z$@2tYPC*!1_r;T^1cyHPg+5waDzKXQ;v{i4KPd9;>X`LIYK29bCgaA^k@fY8`@PHN zB^?VWN?XYT8tu!U6%os8bhbUIVN)l#eHy<>d>6#|43~CbpYd)T#h@ZFQJ4ZQ+a9F8 z^Hh8ls%6e|Ci#t`+Y(=?@X1f=ZLKxo69cNK(6l?EX+H_W2ch!P#6(x9*{7ri9OAE|ZpWtF;HG7+w~C zK7sS#QT6&*>0wv>c(X5fPmKKX^^5u@UdcAdi|1{ua2B|w82atL914tThHM6AK@l%P zm`QzdyyB)}eR1z15li3(LBy@nx~m6~lVuGPoZI*y9QUB2;!zcJ&zUTR2cNKZ7T!#FjBv=ysZ{gI&4 zIzmd~j2s<#3wob+=fILMG5?X2+l?Wm;Je3hQ)mbcA&=B=7e%aD0nN%$ zTAl_yQf{B9b3bpc+djX;xjQUOM{fA#DM|!;aEz;4a1>@_ijeahwD@Rd0vrGvf;>M4S4`VCvjvFpT1$-*bXC#e+M z3Dx))cl`{u;~YKaq|%0JOtefLFDi$D$Z=m>_MX4WXNrM}*LlH)4n7*l=0eWKt|x@mDr^5J&x4Jt9)9(ka} z!6Cv?DLx^;$(uaDbyG)os66DcQu0^qi*~HGQ4eyy6{~I9gFJ>Njkd>10t$Dev&Fy* zOg@v)@%S$HJ7R=%gKmj4Yfhiko~~fu=wM9eL6za60Mobi@vUnGgM~t~XtYB2USug7}Xhe5G0lFa01@X7NSIX0h-WdtPq<5A; zf018TsJvT2~1;TDy2(opBBdC-_s<@75^h90nW zU4URfi!C+8zvJIptS^C|%*K~JBCdgt9Cn=>A>)h|wz!%;*tj>CJyQ+TA=iQp!TQHCKExXAqDX*efHwtdCZ}cc@N^J zBpW!jkjLT(^T|5Dir=zV)XQh8pMkytjU@^K9)syP{BSfpO!d-Tgm0&;E&J}=c4sp4 z->yqr`;XG|iCL{8Ic^9W?9N#K+FWlt&84fmTUIBS!pGh;zwL{uxNq^n01AFtx`je| zcPmDY{Nb>X@F--abKedA_|g6#iN^f_L8ZOEC+l&8q$at2pvI*CiU4+}0NDlvFo%i& zrB|>C!FYWE8p8s|_Q`^f8k$OoALpKWJ=Vq8F4(el+G2IfF~8|9`RrGJ+l<7LezG#h z@5FcaZl5apfxmq634|za-9GQ7T23yv|FB2pSaB(8V0hNQrdaQ96!WObNY@1f!((Gs z>dr-AeqG(byU#^>#R|f7AEr&u-{TO0L-Y6XzdecSiKdXhroH@4a0(Tf%N?zB}?-I9jDD0jfVk zz(_K0YgyoxPijbK+z7&2!B$SXQ!uTamAxbERFIFKH~hlsQ?J&xGK2W_Oc`_61>RKiOTx&YUQL=h5rCE5drDFlT1#@3(TIQulHF=*jl_QnN;8 zC`2DN3khm&Oo<+_4{~0o0I5u%7dg4;&4LeB;c&c+Ykp%8DR(XBMOgkL*a|@9DWeFd zUFi@z7b>VHxUPTJPO+Qy^(h!kE2}FS>U7SG%^jIBh`TAsM45pz@UNxr-q0?-`&*xm zFOT&7qx8vRnVguL4s26@u119Baw7&h%3Y@994BgY(diBTyY~EM4NTCpD|8sbFzTjA zTGNM1>yt`D?GQ6o=ZLg5ty4j(UdR%`c3yZg zw)UiBHVlQ5P8sCaC-cfn^{WebQ_ki5`S7d1DAqu>lb}HFNujNB`F*tXtb0MbuA9HM z{qT+@T1@Zs_E{_Nm>hn6X#UhEm*I94OT#A`j7tf@(2l!z3k2chu80c38d$_EaXgpt zr#PhT3~L6@KArCao}^iq$IYzZkyS1vHRp51<}O;izdOhDGy{FD9la(#Ibo3W**{Ut zTeVX0K&1Da#oYR0Q(>Y&1oy*gZLuJPXg1m0R2nQE><9I!DeSzY+o(;71(f}OJXHb1 z7iKdg-MWg8`cb^Ly_pYM*;$v(@KWO6inRh|+k@0G0Y&o0uyK<^R~JevcLW=!U8QD~ z@*gokR&jZGdFKU)w7&t^7J7>}Bd?aSzZ60^@x}*phL^U6(ao4T|Usd&@AoSn$h)Fl-& zXE>)YC=SWwAos8K#pL%2$;vmwUusECyT>&Ocr(t9Oen;IAGkQmJ3%8Gz-Z;wCOEAc z-2ZVamiPH8&LL_}b8d4GRB0 zPnXBc-{9Wej9hQ5YdZ7zX15>(w1S-4QcO&4rAlPp2X1PesY|8vxQ2#C)iSC`I2e0S zjzpt$i#D*^ee4%WZN^KuN%cyMW9)K*F3IIkK~-)WEu^u@nPsY0kL0bDdysh+xSRL( z@fuV3%zM;kue5hk|3OVJ zAiQa^<$lT7)`ZF#>CrX0;V%^=mMWMt+*Y&!m18D9mxXPY(}8@^emY(cM}68lK4Aao zn0_B9TSP~DYpq?$e0*EufRMDdQX%7DXsX>f?w65^1@Hk5w+3fB5}*$8hHD#*zK%6A z+CB_ZaF`m>g*S9y>U?{ULsrFNfk^GH7@4UK`}8Ld#nau~pg4oRv4h_vo3E{k|NUh> z?Znc;{6}!VbW2rU9)Zus)g85+h?8T>8i`=jcJN;L`oP+FZuQu6?S+ zlD`iy^@KZe>&NvFxxwG3&ln~3R%Io;mUZBOyc=5sRqN&Db=ddjE(tidG^511hE}*j zO7M;?!FMhb1*O(nqc6bw0Fqr-&xcW;0`3Tvxcte|mZJ=Fkq{Z_JFUqd4=*Z2hqr`3 zpie01=Pjb=ReUZ&O>f3hI&9?G*=3huJf{DgT;V=PZ3b<*MneQOy+yCox{0nXziAyE zmE3{3M$P4@Rtu=GJ6?DwZkV*WuXId+*Z8COd--y96Jv>6GQ*pjywkCPe1v5NchGxa zXyD?1{P;n@+9=qEiKmkMWZ7Puk>=DHwvwC|Csogev54Fb787gfO8SPvovSjv#>2e|YGh8G^&m zU}}4CjSM1|rzx3bq9IBIM;ki%T&|ja!q|nYQ>p+Pa2ZSiIGO)k22bd(cS!#qWw+h{ z%I@t^dD)G(9|F%NWz*ejV1s67p!vW%t$g9{kbI4dO|+vH!U>~0@?5Rp4lG`Klrcot znlOc~#JZ;|kklL146hWAZoXUz;z25XQ}cZ@vD*D$j?a_P%H|^%OxXhdET4YK>aS-( zAdmD&mywSI>?(1KyZbbXxR3_W(U3lP=;-+Mvd?&!^3zK)MXj21EFfO2*^i=d8UEyWMTeJqy-wFTp z_o1Xi4iArzyK%v41K?YtH62}oePQyfRv(=4acok@?9v`5x~Q$X;MY>1;p?I{gS8i3 z=W4n{m@9?KN!jdH`j|gCD0@>PnG-rLO?PN^XLY@{%G~KcAh0~xn66s;GWIbL<9;Vy zyil+9wvsZ)AN{`wCKddTQ6fMJ-oLz{wr547d=t(DoXTorC@7+*z0Ibn;mOT+Gd-UT z%!+QVnyEqe#P_lSC!0<}&105tV@1WrH+kW|X1#*s%zCX>*Y;DNxsitm(|r!C^u#m+ zu`{UU?kC*TLbo$4X@k8s-|pnQ>`uR8)xpeD`rv3(#D82tOh+6TF-^P?%hQSZE9K&M z6Y4YRi-*cdIa(8}>qvC1bfeYGQs+({qfoN(K4<~+xtiikE3fW*6fe66E};xf`nLAhRx!M>TvR$E*@)2?&Cw?bqXEbj z>OTR3eQ0m5ps4sb_~dYRWpl(T0oXXxd}bKZ`Q9v}y&zUmvH6?)^lJI8+)X%|^?bG6b6q5) zZD&3idf!elxyu2roJhWzvlTXd<%{K)@3;ozIFmsW!4!d(gw-wqCI9xuDVYava+krAFX#DqbUrbp^7#(ss$aj`pq4{@3dVX+O~~bF zl{W0{9`&es&z0mgrnH_Mqi5s9df#_$qsOZ+KJ!R-+v~hZ3QT zdJAiKNv-cRN+UaqgA{zSfTwPey8kr{jLs}^9;(Z_;WGo($}Q?b^*TR-;Cvq13n4^X z`X=iGHlY>16=cHz$T|2`*$|mx>VH<>*iBh^Kc@4}KTO4n0>7(4PDZzTkXIiZ-Lcn> z%sdUfuH>!_t?WYUzt?ZyvcHuu)2m+{pOc>2T-UoIBqciX+h&M>ez7O`PNZ?_g_sED z;PR-;FHz@{8v?(4UymV>*r(^~KL-l{6CvYSkR>6F0Pe_a_lVITec~7; zDUB+f+de-U?Em%a$-TEKOZ!7ZLrW~TE>jYpp<<2$)1&7Z65SJyDRBKKm)cVEIpdWg zCwB{(a`nD{_{pw(&lQ9p(FBx94`+6vc=tP=!gN24JfMO1w0ku*$!P>DI~GRh)dzeW zUWo(?6S!~A2Rh=ZNPo4lAY{|JSzfH>!}O{1h?Qk+Xrh3l*O= z6vaOM)O($5>UiBpzzoCL1wI-?lb{+puH%D+L&9r_w7X^mx3V+;w!uiG6)qFD)4#{Y zw*8r{gr6g6w<>-*bvMV)PCTPgtL;%YCr7&5kUU}W7!aobFGhi6kb<52nkU%T%=?s7 zNu`7B&lopB%YH+zefkO70Eh1-`S-(V5^*8V zJLY!%cQ09fimMQKQkHI)B5$|a<&Ab7wc2)5r2QCDl4&X_=Bs4{2glDawTSYX}8{S z7zL3nZ5gXow%@N+cvXJd7AzhYl3z)>C@}I&)#`Aw@6C$VcQ55_56aZ{Jz2La%GKx8 z8}!_(wQpdL36`j6zzpM0&y?BK^UcMTld%#Gzl5>WX%|7;{RegV&)r~zyYaGhy8kf% zX;9e%R}IdmbV}UIF@_?G^6tXcX?cJxRwztkoVy|y9k75V`oH$T2XLhY9e>A^%k{FR z<4PqGYa`~sZTMYL0=Qtz!YnR7(u${adiIhlh`i#u_@xsfde6#mIk4~&d zQdjN%GIBdwtF!_K+9t$#R>}utCqJK4TwHu{zY%x1QiX0fLLdO;Yo-d`ARLR(%)O6y z`$4T-*iP^QpwVS@v$ukW-tsTe6nft-F6t5l0a?$u_-5(si=IiYugw@2Z>~p16a;=* zau{3fGUG{Zvee1_%~iY7-M_w#*%>nMKa|xo&t&SSR3A`t@2NDt*=}E|F1Ur|iMn9j zs0YL7+M$K1>E2n&yzd#3>}hv$D=KJez1I{xJj5X8+BrhQjA-mZ2U0~*kq|g2Pkp9> zXra+sX=elV13aLi1tRwsbT;hvd!aqw{ojdo@?B?tL4c(~q<)6Q>foFLYuX)K{%yMy zk)Q5McMvo=sm19uS7zNmx9hTX(SIZz{c=88Uisc@Zne@eouU;#m$5zN;ExF26G;ON zFg55ajwzV4q1x($T?pr$c1D*!F z+PR0%y5O@Q2W*Gb+kHHEk;DWFc#So{2_f62+Kr@;=e){CjDQ|6H3GCyplYfi{DejN zS5=~5pRJuSrOub$F^jsg%t3j*=<*`UAySKa9!`Tt=})Xh&$21C+Y{Ey=9eC!@=BL8 zGhGMg+?U>zj9Yy8U9Om=%R3hYcs%66khBaZAuzA{qxHA**k%1j)Wek7TUWy&-+yce z7+S~(P-In&j2Ih^*IeGdc|#yM6)2{X!2Il~V9k5WBSmYX9%KPt8gyX6+gj2hC#fu8 zZEop(4Bc5hY)@pb?O~YeZ%@AP;n!TXBnkzyEEPyBibQ_4&x&q~7DSr9*40&(VIHo{ zeD(IwP%XK1q=T;2SgYfav2K25*Mqs06%o-0!lm1iYXe!em2POnMzKo}S>>cZpGq9v zy&uPTV{=kEE>tZtV_Q~(I*Xn1ukym8JchfC*RR`L>nRwa#-Pafb71Pp6UW*UsO@0Je zWjeh5ZPM5M;OxbjpH)7MQ&R#zfe8%J$t>tTfhE5!5$AC!0J3NX^EDJ<%T%5*4K7NTMy zl2yESk(^2DqtOPzKo~b5+!MlUqHGz|LzmH}8tr%OQfxHCdPp6mTeXVmYYUG8Emay7<+7R1hFhtsGEz1H(;16{9Gd7q+KCDt$Mai8njh z6JD2;Xi|ON-QA@*JED+jNJNN8&&VjV>thCdMEu&d8LE&2LT2AT1c;`QGAk&U*>ka( zBEIr(@nz@dbGq=m`=$%h^JnP^?+VjJP%9vBOEbmC<;g>XVCbO$W8UWYc)Ty81(p1j zNu)W41ubYgKP-;&{QR%F227&V=@k*tz!2!Lvnk!l`|qOKbdI~~okU8i=Nalwa7Xpd zpUj(2;h7G~NaAzJc&9Nz7oStx*5ZWNxtrO}g7G;QhxDsYTp(xXWBvv@a?}XVZ;x1x zc-7UeK2KB2`{VjfpZ=rbd%}Stt`Rp~61E6aOu5m4h@g*QXDsd9YQFJ@$(HACVCphnX*o|w_7>n=36-;q4XWY={%uxpEP(9hz?EXe|E)LVW4fWQ;i3in>~+3ZM|)~ zT6LDG7~&8kFzoOp z;4K4e8&Deh(g&hxUsD>fHW0m-?=1eno5rhAK*Rym?BTJnm4qZ%pW`hJ3Fp3Xc8reJv>5U0g0Aj13Xv`4mTQCZeUa{Cm%=(*)^KrMikE@JtW1P~lTc@?65DJq4EQwC;R6dEWL z0LX~`+PM_=&uPH8fNaL${cpCvEAO|>y2*~%=jb>GLsoJ$o{` z=B+p=4sjThtp7zM=9^YOv|goPyr$#G65Z*a8dCo2I0J#8h{E>;aEDNi>OWBSG8toN zbl1DGvU@qN%MJ2Qe{}DpG>2%rU6D#QA^`>;(MdWp0n#rd3_@xC?Icj7`@2>+bJW+Da>@{*zGn<9Xd_D39@0LO_aowJmWiP>kB1 z(#|HSGJhlCN(MR&Y{D)SWe|h{syPFOqiVCA(QRk(9+WU=dh|+H9WEE~)o3XxRWyOV zVaJm^wyBcw3%-?dxd{SScl@;i5$S6pn<6g`o1Q=3Smnu{Mvs=WcF&N`-5S7qEa=Mw{GJBCFc8}J!prGJt#oWhC}ij z@qY{EzULrWwio({5g&{yDTyhW%n#VEh>HB%%p5Ej4i>e4jgc1uMZ zM}&{}0tpRDa^{?3lyZj=oP6H0x&)BXf%DsbHM1STnZoyKj8QQaa{fRVfa4enEwzWQ zhSKL0jeFqhz8|LNvxI;`L7|{|t?yj2{s!P}Gr-wHb(Jyb|L^e{|J(C|gw*=YtXKX4 z!Tk7z@tG4+pWD6R(s=xZ`FszQ%0d&2+*1bP3~e=DE7Tx}PQS$=0QVyE5DldnAgV7Q zHTS0Vd_dq?J8{TFQcg7$*``ik>1y1G z%8ZMe-lJmiAnrn@2c;(R*b@#s37hbvfvdp9f(nwBB~R!_y)=6=*XZ8sB(J1oZPSCS zhL|~|g&F@ZQiW(|0)B>PmN+a1G*K03ClN@R#C?R&8@djF8~WT3EqCtRxqHpvt*4J5 zl$4b6IU<@8La9eZV87AP(eA>Uo{PKwKYspc&jFv{y}X@JUq%4m!yN^f$MQr;M;!g*iCUkPeLtAY z1HRzO?kNN?E&3LUz6GC$H71k&uTT6hubM(*5b-X>E4h2I#I&9PBKH(y_uCqKFW`&c z1JPvlS$ETgbLZy%=dqK}cs%Hba=sGLbi6;6@R*oth6{=BkXVb#qlNDoQP8jh?~|ShP*wUF zLic~jGkFefr$8iN&oPb#$t+)^z5_PL6*HGI?4AE73P~WZK*PT z?z=vTaQ*gA@MbqUnm54%G1LjY=Qg{|aH6wc02RTTp%5&Ta>?aGi(pU$9lOJ3RLb{0 zf)|O;GfdRXr9CS{rK~-sl51KXDk^iHxDE%nC+h|+o+<}Hm;J{AkUkv%rhtD4FUTAb zsHD+Pc2)qN6UlN?lbC}L14{{>2dj3-r;QLJwirX@Gq~fVYT1K<*Ht zoQe?>kibE6+-)ly8)%F_SNkuy|7jw?FIRyCFs4;NF!6W50TLJ$4#P9*W{3CN8$md& z4tJJh-qRtN#Wj(T`mV*jsHD3f?4>!5z%{ zVmCW97=t6I5B4e>pGkYnn>U9ONd+FbwjUdPacl<2NyM&~N#=NGP~x}xl`G4A|1!RC zlMhD-J5MnOtcs8`UL)7eztcRVZ}to_AVA;3&LVM;Dxtf#GBHS_JwygTKA#_`4RSi+ z*W5!}EM;b$rD)CGYRwf4K(u>SH6WRQg`7V-r8O8om z^Ps_R^#2YO|3U|>6juu4ZHGZe0!sok=KB-NSMvT_!=;ug|1jV&Xlq|!U|`reVu4-x zU{b3`<*`2*AOx~t`nEpLaA^f?4G1YTjR=D&T+l1Ge`EyQVvceoScDvVe1NzFyL%{k z4RKF{uE-xR$#s6)tPxEEdFoJM;7}h>W2{@xq5g`M;n}HM`m1p!RRj*-brUCuCjRSb z^g8cHDzFXuXr=fUtr9E=E(0Eq1pmK|VVz@$fv-tP#|h9dyy+gyfkc8!CSf!R?+ntb zzs76AwwFBG2n4{32DRP-*?#l%_N`?J7pvp0EC{z@JLA_l*U9?mG=M<_R5d z^+RK#N%15tZH<3u2%gS9LKyvC9-oAEs+@S@w>{syvb)^e%j-cyhyVHih2Xxrm&f>j zO&Z!)Rbp0(%ZU-t!|kirut^jgH6!P0B3OCryW219D{6@zRM^vGhv58zB57i1GFnC} zPTf(`Ir|SG1llnbgqNVVl!&&#q%XdSs+n+Zt0v9Y%!*wbtF-FPl>Udp;v2C2zoh<# zeG|3^jclk8mjsR9C#>a&KRQ3@J4?}h`n3g=piD=xv_n)N=3KdzNi^_(a0m45dr#Hs z!KUy6bc@By@>cUd&RX<)77r<=gI=G87j9#tb~(i%NWU%XJJ~YTT>-i^le__d)9Rc0 zahL{fDnmbny1m~HM5UAW)uHyjEs0$fu3$G-Ln~SKwY$fq5&YFE)#DkQB4qO{sB6~{ z=aSZTbVrS9JPYOS&9%{*#R0Vcxjn%6dXc`PKWderV4h#fe}|h>D?2X3xu%f6@6j-+ zFc=xF|L3kTDUjS-$pYU7dl~2z&ym-VTMyH*=Dw7}1Lh{VN6hCane;=bv|D26~?{ka?dHC<+TE`jq{{K8OtiXZ$ z&m-ykzn}W|_Rjf#j?BLgSbN}?`kzO+^#A|$(f?oGoc$959L~)aopAOu0v@-OHI+&f H%)|c&tw+=# diff --git a/notebooks/figures/05.11-expectation-maximization.png b/notebooks/figures/05.11-expectation-maximization.png index 9c0a7e4bc77ee5a812146dfbb29d2c9a4b24d4bf..86ff1c1ba1ad61e9f46d84b4bb244f1251c923a2 100644 GIT binary patch literal 170660 zcmbTeby$>L+b@i$NGnKp3?U679ZDlz(jeVPcSv_jmvkxJ-6WGNeomXR0ISB3~4DbWdww0JO~I+D3FoBJ4!!$7Qv5a zjv~^k$l#9`vT-Q*e-t|@O-BR-G;H|m$>f619e9)1NnFE8<%_A4tAT?Ff{lTbo%I(d zYYRgP7ZV3Zi!Zhm94zcC9847EPEK}wtgQd%0G2NfW~}eft_KkiC=jH@KB&57>}R^C zkgBCV3adF^791V4@ynP6#m2@yL!?ABfIf-4zDE9a7MZuaMo$rnD4|M%^ooSbj{-tL zzbx>Th>)5g6z%&DT5x<@f>U$CV#`tcpSHS(hvG3B?gdH|)1b2x3t9C{&t27v6321( z@mnALp?Vu)zxNccke?y`_lJKT!L=Rt|9l70Z#i3>faiZ7@So#IE|8yw{Lh2@^T-UA z|IfF8gY2fL(MkT-m;U!hv`3(y=>Path+RrCY{%e++V=1qTn$;Q0>pKvG!ly!t|f@U>(K2rD|9-+hjQCoSS zY|UIEHfpallQ7-2g~mvj@5Q<0Zm>0xRCrr$gOr?=N<|+;7o%hNscKhy92=J?!Baf9 zXX~F2FoZu_{}`fro0|Hz7&-nM`zB)?O;am{4D;UugmkjKNA~20w5ZV(PEh0P{sX50 z4mUxTN*gWy7Zw(w4yWJnbi#jM;k7E{6raq^*%+gV3)tcpn$-As3PT6D-`eP`t=MM$ zr<^1){`FehOi9Szb#;JgU2}+nurxsdDzGj;hb%SvX;md$)4R4y&JK zkIiMlUQL;B{_kJ9Hn`+jB4PYFy2OW8Yrqy|yg8-3Ax;F^bnr6jnh2N?!A8cUthWJY zyq}nt6BQC*BWUmMGhTV@zgw9-*2O74$|KACn#5wJesr_^gJpN(%JX=L66wF10;^-T zI$1l2GQH(FEr)6dgW5W-X8)G`#9})96aV@8;FJNhry-xo8_y?YQaMaM_KnwCKzS~v zRGM~6%gn8;_#p=x%}#Gr3S}wdc+L~rj=YaNb=+2hZZA?D$9O|vwk;S4a?q=lm%f7| ztQ`WY*WLz~w;kZinofrqFU#aSjV5x%?^f|U=pTL9%I$0887_DY;2S&kz8w-F}&_6%@ol`aQ!PyeM?sa)+Rp;%OcTN#eqhlgY*^Q(Ok*Xwk`y!(v?1OoqNjPCw5 zbQCl+B=7E8j`8g=mA4%7Sz1{=8QeO%yB_!5%#C2-D?Sh=QZ!CAAC%0=$2#_47~6;- zs#ALckrrXzX>Ir!0_p~v%Qm^Y)?QAQOpSll@Y0UrW~7U5*_m1zyU-$Mzi>1+$w_NB z?<=)ktEJV;6KgVSemgh2~qyNA2k})#zVsI#vdx-XFu=zc%R{U*fj41l@p`F0zGa(!S_Z* z&-+3x%WV|}(XaDE)4%M8^P;DwY?{@^D0vc5d=$>4mVth2uW~Gi!o>Xj{GM>i^{k!z z{{8#CoE!#OjM)(`iD_wRY05jRPkmJ?^1RQp#|L~LFMVsQXF0|M&VKbwHB%>8Knw3x zwl4eEhY}u3#>wAI^Jt~asE#BZ5{SzUY}p%Wa)GW?zetcEIi2teXJ(Q#k3TD?oZ)Nk zU`k;hSXvI^Q3|reuDwiJm+NsjVUewh%}4FGZU=SKjTe8l359(G+S=Ogwk3sEPe)j{ zxI3;f;vpyN2@0p1>0iR1559u-zdOBY#uQ+Ao}BwR1@C@{NjJbkK9wWMPc_=L!70a* z&p8gE8j?du%gF6&kcKx<$4PRiO-~J;OW&G{{eFrEm-SIm4qqUX^f#w~Lya`!`p&>Y zqMLZlMXl-RfuFx$IiK@P#g7s1&7}$(QOUgv@xkt(19JhHBz_k0%MYufV!~(lWIExp z0_jDJNx9_=gRK^8C!Rs?uR{#-orlV&rlu5CR2-4D*N^|fzBoSKUpn^TsvrOS;$7zD zwb<(ZEA?&2xbMT6!1a29*ZrQp@VX65UugT9YzG;-LP?Q5USqq!*WBE!h!dnpADBz; z+I>Jv9xWA@glA6@8ncKkHC)Du5eaa<7pt5ro? zk_>BG?dqL8=p;QG$@*g%ypAbC-h5k`u4ElIe=3A3G5C8V+b`RW4kmOf%F58b+Q8~h zM!)zZs3-^~?m&w`&)lkXJ6WwxKLafap>ZqAlLsvGVBMz_aZ+|rIc|2}2QSmHj3JX` z-A@K@^g!!%+#1^;f4q8;eZOy(3Vs*9j@<`w^RWr=)nGDlTvH`&2xOOjk5MVCjUB_^ zA(5)G7Jc!h!3Fc+w@hoL7xkC&BRdz9U>5^i@xmNFF;}M1_Z$P&7%7@VP_G^OEkLl*qE&q(3Q((l0xG=rVwJw$GNGTZ&Py%zt1eu;92`d50j&2}tdec)i@5?__xFmUvyZEYTzk?VmYkgMMXc zX(_?^`B#=;`WK(G^xE3m$gA17$R5_VbLBoAA3M8Pc-b^LZgDtn%08?KKLj)^`4HRv zRgb`9&Q+vmGa3GNI#;MjZ+Cmpa2BTE<^Niq#}8E5Hw__!PA=T`$+K9VbOgn zr_@qBbhy2ILC@<%oTc?xM4o5m8B5c8yu)oWtA6|V`0;xRbdnc@a!_*{o4x~=*O(#p zO*&HXfg>AKB$#V1EfzL5;?UZjg{hal^)~1|^pERj?n$irW8Fb$gzqd>dCv_;)86UW z_u-N_{$dxnJMLl9X?)eOH17W#jbU|}kB`soxa&m|n5b@Gs?jHY)bTv1BM{|7Vr{>o zTDm`Ucu3_4? zU3`L{cBbnh?++bO(Wl_65tp@>ZtxoB9Y!iS1O)|kTxLz4AwKcBTO+S=J29k{P3dHA znC~u>OaC{QR94ZRMkAB-&6mvg&Ymg`xhTtnVRUp9+zghMeGcUk9M>gp?iisP^VylR zhK~E6cLH7PmiyL6<=_aR$LsO4zuI4_K6fGFvFL=_z`RZ(^z-ZL>T>5VJ088;kAql` zxAS6@b#+HCruBt${dT2{*%H^r8M)84aDU#pi!-ve*TmHy5NhWmmOvgch~UV4$$1sZXWmA-;4NL*CxbQBg3EcygaE{E9OKbef`xx z*%+uyBUC>-Xp^?2elnKnjh-MejfHVj$&~J=nq-}$s+65OxIRS{k>weXytE)9kWf_T z_|;5byN9&HEp@5A>R%p-F>c+9;$Kz!0qtWZAxu-L$WqM zlCcBBZY=9vs*xs#nOki(Z35R@u8nK> ztY@b!=|lK2``6DyAE>UjCnoR*YMK1o<1jqmtstCO`}s{B^9FoA+HYr>y*~ROaI>9f z%t3hA@#q7`PkL@E&&k}^<4&)iqv0J7GgefBrwcERhcn^Fgsp7ftPpY^w`|xss7Ht0 zlA=R)>&M-)icS5;3;oM`3D>oL;xEPn(WLY4Tbb}>b9L`i-g^2GRMO+WFOU5+$vXby zTSi0iG#So+H33prQ`hZ7V{Pqpp4J_R@x3z=AbSa)L;NoL^wa61rkbGfgEq@Lt?w)7 z)8RW)cUkWOR@!vq!_8hQd?n$tZobaGdWMF_boKl4W}HGq6_X=O3~{9TU!&v7i5pm% z5NwpRv@}fny?>eN`re6aF~aSuDc~Hy9G`bvi+UFDp%bg&da6iBttyoKoh458?fjP8 zQQIZY?S9P@GpxI_?8gkyi=H4rIh$^F%VujWUPFr%wyFlm)*|1IEra`jv<&{^dr?tQ zD?tNO#0xUFuj2q-&wK3sM9A>D*$M11ux;AFYX@`DVcve=$?ut&K~mRwKZrEES%TFE z-q46%AO^T8`(~RXMQ!a7GvQlJc>e)UyCJ#A!%f;0?ao_{n6e|}hLZc( ztEyLpwZd3L1%o;2kCc@4L6i{zE$o&wPnSuBq6klVUA6wa-{J>K07j}vn25BIwWSZmE5vnI(W%K)!r z{h0k5VKVDwIfg^^fjrnkY07Dy<$1;J;MGU`dlTbD*x#O{a)Jx2fsv7F8!l(e<1O6u zRL^;h-8@QcOTAGEGHNu!&GJQKf<#aGLp zwX)24ta6fnpfr_4qy8y_@Ng32yU)&90Q8F6qYiTEcz6-GgR$%mUwA9Q#9&cvH;?^n zSRB5)K6{eF@5)m4=_iAy)P9sPM_8f73$+GAaPxJX|EQTL>={M#2GeDGVXLWG*xDAB zl%QxPjX2(b^_&SB_J3Fb81{&Ee^vR#6vbh?;3V#8J@%!&z2}#KpBT39pi;tB7E|AR@YP-7~^Hf*ERa2Vgdgw1Ily3{1d~-JNNG9nwLHBQ`IVQDf7j=}x;!PxP8(mH z-<>EsGk-*2Q&WMZrMGGW@_=;7!e1W?u+zD0a`W=?NN%b+76svpsiNb7PeJfP)jc*F z;MtC=KGxsPnLo7~CMPDkf-#8M(2cV9d;z3R5pZ`1^6OtaIUZ8*iHD;LToczQ80_MU zXCn{=!qfbg_7>M{Q9BDspSmrSqZ&xnCL4SPb$(QwYoRrHDQZrTt9ZU zX(}u!K6pcV_lNSro_Tv(pM|UdLI5W0VKEOLW(d46B$ysADtt3hUeg`}XyXqi?K!*~UP9!4?-7zm#DSPrT6zkEh%>-jnyr~y0Q!el5uf; zQ3V_=0&*Mz#t_LT18tZKI!3Ss7N*;!IVYI2b);=ms?Qm!3)aJlKC94MzCtl1qP0y% zt8}-zccG0brNKU3Q#R&0+%|(oKau#uXMk)eO_!H6Q=6CleMwZGDuPO8J6K#!4WVN| zjzPb-mI-KHp@Cl3bL@&^f1#6#qmf~wSAsA8veDj*WU(_x$hL>ti1KVN#zSs8t#-4a^*%}O+9!bfdn&Cx z4Bxn*7Y>%u$ilEn>zE?U>Ay}N&?XHhltE_}vmxq}Gk;$X)Y}+qZqBeflW^B#B|Ci1 z&faGAkKu2&FihFhTVk$&sbS60&$zniChrfw2n!!eVb2pmgA0pM#N3F>7as1bVRQ%s zXg~7u0)UDG>b!nj8pkD?`R@mG{xm^Pu9rer6hD9d+^Fl3GA!fQZ1>{z>Bxq!uI`=< z@I1B>)%8l~Teuh6UTU=@exv~?v(3N;-v5LA*78CNEvR=@_rr7PL!3_v!T{8Q(Ka0ENbDEHS4Ce^eTqD~Pd8y!fS(2@?_r{Gm zaD4+Zr~drGfX1C%FY3pVhd=REC{7z29?d-Otr?6Dj2ca8My4ZsYuX!R^@T&mc~C)~ znLTzmC&>v224oG&@@pl796}Z8U82AR#=)M!>5;0Ft&uba`X(2xE8z+FZsx%^lgL|keQ-@37_>iNBN}A${N0x3yH)yi9{7mRc3*`{%pd_?Zeh>R%+;LnHmQxe45ctr1|jfU(%zp=B1>cxK!w=q{rOIM%D>s zH`rw(7TuD7R>!BFPfOCd=VG8mo9cxkopjuYi{68%jR@g;5xOOKHT3x^Gc9KPq!w~obA0F<_oPpEUyN z=k{;b48HJ2%9R06=Ks=uO&cTlj{r85WDtOwA(WPWYJ?p|)z@>ipJg7wahx4MQfhD= za?1_KMsT&Z@wgieC8X!;nd`hd;Dj(>Ho17&*&T;^Ehd?qZ8p1b1Yu)LP{czL@%_>a z*nRs04K(HES%R`O(xUw!;Z$o%IPtuR#`S~6&1}_>fM-T~dDiobAut*v?aDS`@p?rO zZn-q8?phbj&ndJQaj(c4UPp7Jj8Pk?OgT|KAr~KkB&eL+3Op0AT_lxdH}X>9waI`; zt3LPYefzxrqMz4b)z8uWM@fkR0Kz@d)6>&upzkF5#)wf_&((&(vE5o>x-DYHLfqN7 zaQ4|4e~b)EQ((iQht&+Cu^H1nAb@IzRxNs-MSjY&CRpu`i1v*x>VM+L%B<>Flp#cA zqH#nr~ro_!_7X4ge46RSV zVmYU)Ij5k|UIy6A49isv`}wtmoO^ za}=#Q^7n7}IYrCrF`IoTL3KN6oX6peGXJfh_h*|(76_;--|^+RXaBx_0TEyc>fdER zXN70WvGNmr5`x}7WW?DrfEG-=KqkSo1LPO;7RzPuCK56F5iNShS#SX8f??9su%r0U_f7y2~)@zrBhM%>5QRIM)OcWh}#W?&iUW|u?MSIWn9bObE zKc2Xf6m7yrGZ69`!J^qYJY-3Rsl9hyXm$p(la$NqF}e#9Y>^~rA`8vUCl(730-$N) z{8E?Sxd&2Vsexy`6a5WgctLD_B6AB>Z_zOB)00x|STfK$B3 zc#2Bgrno~2=qP-~(qxlHvmdrT$IG?{n#@Lb{#XxOps9AhQHgd2df3%bVF<^{nqTsVg?u^N#J1kkspZRe>KfcraK;Rzm}*Joh}^tBrD}fB(_Po zWDjIJO-ci10=oKJ(_i$DfUx^61L5snXlZ&8SPwuPz(Dil)zQQWdNJ^!u&^*VD=SM- z>y%SYG-;zJzU(@?0K5mM!vN+b1LZHg!fS)^R|EAN|&5{~UvjKxDV{@Yq?|wI}(*stBJOq0MwBmxgy2KDNk5G8`H3C!X z>(Y^Mk9=OY_LsK4tCO{muwVdO1K`e<0AQ9Rp8HilbX$`8BJioDCxrwX-~_3v`tJ+2*k4t3biswh^x=^ZX<6cFDQBMd`cysq z=`Hk@d{2i+0#XGEZJ-*YB1y);R~6+9G|)PSOoCRw9>Hgj9n-3x$DJh(mGdIwZZ?P= zN~R~oyDwo94CAb3TDxqtZy&M#7%Z(W5Jfct@J%6WVoot3r&>rc>P@BJL!ipmR1%Wx zNWb@2qjkq7l7N7Kp6J{A2Lnpy0dijfvutm!X&pxlAZC3AHbcJh8$FL58ZO)UL0#8{ z=fG(H3{-Rg{Q9FwM>_6d9rkdkJb?V}Yj7~qVat&a*O$d#;Qo%xV#1|i_{*V*1P=Kh zPsktHSCb!dK2xOj961AnPqzw()LWWqq<AULJ`s;d5CBu=oR~8z0mr^M1sZW9yQFZYrCCRz7k6PT9aO^#U zr1M~mZA$GW&32d>0!oE;|B=1@O=MUjZjdvnH|Q#qPjss|Q$?^e<56C;ZU+Zx#}Vif z7dTQ3H3siG6ea@8IMr)oh8)vP$rwd5eh`06Dn1gn;fC3y%TW!98^o)8(lH_~r z?-2#bDM#tt4r{YPwY{Y9K+Kn105m0T-s9iA3;+R;CxBJ*?4(rvn4jFq55c$@=F=_(YbHOp^$HhO58y7&N51N3e^xqQScaqgivg<=NNd736ERo73RmDrT?bY<1zyBK za`OEUUG{%Wav-Q;)!V@OJHY4zC{hDJePJM;r@phoQ`dF=6PleV>?;J6036|~u9p%z zxBKVOw_q_#31t^GHKl?TeFWCSS&4!-s@>)Zpw5#rtoGd~bantE!o9=t##L0nBZ$({ z)2~PLAG+U;3-rA7IS%kW%sJ=>t;4zfZiCekfKvO1>#Z7(i{0vn{+xeVuaTkyA_vwC zfcRZoU$4xNczk6biUNcv>+#{}aTEBZW`9c6JbykO`9AV5_X-`sZIK~yd|g0~ z_~EwX)$F)WKcI%!!|Lszg=hykU%?|0elN&A1HlT;vU(0zQq8hfz-rnA=hnk1XF8hJ z2kz%v!@r3=QR6>(BK~yYjBwcwurcF^f9Rk1pf2WFQRkzH6P5KiVM2y*K8pDZQBev5isq$6tv|)HGgI~Ae0Cn_ z<{Lph<#)i?*a|gNdns^?0Otw7vY`h$6&m0QfZl^kaxZL!p0GZivfk~gcdT}!v91G} zxdO!c^(@cB6<|gesWR9D_2BesEk=F2=0EWeEB#xdLW|QQaCbfLCWUdX+HA3B5lOvK z{?=Ur;x!omn!_0OV`jeZ+#ZRM%T<{iV^tZ4u1(*Oc}E9J_bt6SU!lp0!<+r>k>k@+ zX4U7d8?S&icjmdILYYz2;ZOCS{AVEQ}Xu>Ih{o;j-q~dw<%9Q}i$KbA(^p=^4Y%%*GDXGR_ zbWAIl$BCN`0Ot8Z*kVaEmSu>*IsyK$Pz*JT`O|Qwsy5*d9C_6_(1|`aiO}mY^a320 zHylC@BHj?O574;E6GmIh?k7aK224z?Eckj25kp41Kzwz|k-CW0lj+cW*#qrU#Bn zH&}g#M!A|YiI;FuWoAQ#BD*>DXF zKHpUt`T|j2H-ezXFrl*0S?c&PIM#l_dD`l~REK4t(SB{% zD&XnR*!pWY#ckTkGMcNkVA81k3M_+~{Y;$5X(Z!MaX)s(Y_A zBy5!dQaGTk7;63{i-J&xS)e|XtnN@wo=A|ym+DFR4RK; z*k&4o02%%tQTFPRjN#^JA%CHl!1a#%{<1+Pr;YA|0+rnFBWEWp&Zpx3N_AKOKj${$ z+>r&z=7>o<;$;R~ET6d*$2=Rtf5+Kld|J%s(1)$kKLyp$75_pdI{i63O%cHu*=^o! zp5;!Ddnn_hx7ydRQRfUUBZ0WiV;;Q`hv1`y=WH=fE)S%Spu0s9lyx+WAMCk~JbWXU z-Eun|t!r)a;jdn2q7r0Detl!m^GiAp`BrdB!v88bP_)I!0_1<0J2A&R7&&-oj zr>dbm7tkn_)B6+p%-c;6RlC{fO2AgYHb|^+*|=5_N4AH82=x`J+YnwjAn`JyIMCWu zf#&F7^H4c{q(NL6)sUwIh2n!-U3)Go7mZTJYW-86*qwE#9ivJ4R|BW3ttAC6=wW?A z*ta8pvj{qTtw@h-54yJODP`h~&Iz!yGWp7}Dq!})OV>WO^Aie%in$t-ZwQg%zGi1= z8Oyk4cq!!xCyI0bllvu)1PFQK!dT;Lz(`)SiaqtwN-GURx(9PGNG2`}$-6l1we7}5 zqg@Nm>W%=gJMCB5^HTZhtC*5n8TrK%W4JKYe6i3a1$qSY(rF7V)?9{eFZ3>Yp{-Tr znWbMV40Rf;(^cjBguj_Syf+)i2FXfb^MxfPC84t301M1+?`K1`*Y&9Zp)Ka78>Ijb zCKhO20JFYKMEwNi)Y8_rZ&|?Ye+ATIz*w?@UVfuQ_le;Z2@@a}K(ik6<9w1$+(4E0 zvcN5KZt^`mk74;M^Tr3s4@5#rzb1=)DqxN4s)>N33(NFh3o* zJ&HKbd)VF})<2)YrdhD-CN@qml%^v(HPYtFvn&fOI8%Loho0{+BWgkV4hl(piw2i}h%x~)Y&;d?>4vQUMgR9Mf6E%Y_@laMWl zf=HXFA;oKo2(eaE5pBzu4&k>&E{eC-2w~?lCedc9>_ivP6Mm?7rW?e4 zmuA^5#g#Ji%*$3)jxLUI*@2f#u-<0v?j@((Kz)wl)QN`z0Y535|#Gg_7AW-D*?+&l%pbk z6kpmT!s&eAjfH&V!(l&$3S+#rw%i-i9^#Tbk4Yw+n6;eGPr`KkfCjN!>Ob}A+P-BT zFh^^cDO+aGo-*jGs`3T-=@}d*OeL)!If~+0Ei?*8H^&IHTh?R=RmP{1Bp@h!FQC!v zwEDeAj&Dt5pT17FivDO6^4>0g`4i53%Pf{Nl&L5c6Mg4&-{;{#E>leO!Cq zY44;vFw@vPC$|H<(Ga^{oPrEP6ksm_z*YD?KQF7TO$<*vJ>GXbUi$5LzCaf#mmoZF?oRwqS@5sCeYO97E7dR$b=%Pp{fn;2=@U+(%9-rBVY-+g(|wZom(zg<2WgAO_;3e zomFtp9d%@$vh+z4wir=>E3yBz?XjpaE&qEfhXuQ{)*1*0py+w`0;Q=B=h6Pjt1|@! ziK)opVn+|Sb*}Z-+JrYp+iG!sQa8Oqe$gsxWwD&>s~u#(mm@VRg3=&EnOZgl8@#a1 zJBSf}4(sROG)@jVZ15S#M`NLz62P)kRv``!Gtp92|Fil@r}mPT&F1xz;*D@mZ84C_ z+;xqoutBu(WOEKvi^wvCrxavP*kmIB)rek)f^_+THfj)?Ttay{i-(5?gNQs5 z5>oI6&^|%jsI&7cJZmqCUU)hfE(=)~^>@&C^1i(|ZVWe7*qbUW<74L@i^9BaxNLjz z>tl}z&ezfo0>Z{ni9gQa7MWkCMWwk(U41+2N!LPae#hA{R=*Z9)LvJ6DxSoKp3u=T zEm5c_#+_kJDn9x?4pM(XL%4*~S8X8a8*bCaZYocvwm2FG2{RuY|I9J4w^yI|ygwsB z@ik`bAkNG@uU+Q_A0`rrC+5_Fls9*t|5z7fUt%D3mQIWiX0WagT_ zQovWlLFur_k>aSgnV3j6wv>5#o!kHSkidJ0KU8$G=7pYYK^A-^#zj$9#RO+Wxs-oh&M6I`s;^myPg-s9qyA9N z-M%Jy+kAL$zlFRhwa<#!CGXU;e&KuonRG8LL)5-&ZK^ z_Cwec-(!phrrwsiH1cPUZ<#LC>ut&tlc|$oT<>fvIIOZ8_2zGg#;U&qnM%cX0kS!P zwrPX$Vugx^6p2Q|DITT%KH+H}d^sXUXy75`Ia2Dl(FDfbMxE2xs_xu;ZS&x>M-F)@ zzreRme}2A9YG>G`?QUVb43^Z-%AS9 zjny)xeyelY5f;iBIj1z6+cmbdFexd@42E+u;fTjWbgK6w(B~Wi0Q^( z7CnvnxZJ|EOP-_F=`~YlZEiqPQyljRs3<#-g|LhwmB3!)x5S#&~o-DL? zW9}?_gmcv3V&lvmi0GpF`sCrc-*BzhPIz>6bwTifh?p4IL?MF25ugZBZUg~Bq2-$X zJwXQyh=miJS^r>z6xERXJBvQrQhy)hT67fk1Uei z#5_x>7p%pr0s#Y{a#MD^>|wKiL)KZyPSjs(4VRE@ax9TJxT=|qv}nb3>C78J(l#1u zD!Y8~4kpn`*W<+Dw118`gG;PU!1aJ)S?Ui)C8!;Hx*AY|3s2vi(vYGYH{v9&vg>a?WZ9LrKT(y6dP~*I)LW8Nn@?`2I3E*RKEEJ`ho_-sz>n3hLK&x8%scH7m#~ zue(Yc0D^Id`Cbfel0GpXskaDy#_Qt+tz;4dh5@n5`PHk3EcYUHGgo2r8)9v^2-w~rv*UmbP&%upSYp{pQ` zsA-Q^J}ZKiocrpuX$X%rKmxK|B!vB$B6DERKF0!ySFLBue#M?~yHH%78GC%4*J@LY zD33CiQg~J*%C^XFnLRcB98Vd2?Aarh|w-JfXf4oNUTwDudL=; z0QR22j{F(JQAinXn_|67^4VGYW!!gsHR!B`1&8eGk$QG(Be6BVXM@-&)IVNdLTD{! zxvFHJXeNaP-?`xsF0cVs7vDsMpUs}oZ;mV;2kLN~#e*o=V#T=y`PRFb##`f4qLI7}P(DThaN%0MY|TR{)peybG9~wgwkw0Q+n}O=$q*3f>`* z9mPV|Ta+TL9(kJ^C+gyUEU}AVHeFxEx1W#tkKe#C*g~087Lg3U`bR9|H;^);-=R(R z-i3f&Vm<$Sm`2K9y;qar139=t1F#Wen1xcS-o_}6E9wPL<_`eCjbL0>u-lo+wiw`8 z_QXyH*}y=dR{U5T1{*3YEbMxV8ZP?XJyqx^I}$#~#b;a!s!v_Pc7Fn)!K|?m@~cDGIOne}1~6AG=rBSdvHVXGu`s0Ky3Lhg^#}p~QpT-MPKP z)LeS=w6{$qB_$t{HcpSI>lBhqEG-vZ-vQggxJJ`hlZBXD77B@zq8Q=u=^$@_MU|Eo zm-6ikJ@d~a)l5p^wh;gU+B6G8t>{>F73UPA{wbq0JlJgl#6cYRbDwMuX!RK=hp-Jg zUZAmAzqXK4=~??UEdQEgY_+@EnhA;|-OViXEx7g_n5I?vd6vyaBylvm)Rd(?KJiV6 zU>trQm!s09NLN>qLGq~xxtzO^+ECq;C5$l8>Yco<{%+yRF|t14{41T0Ofz2E7&Rs7 zwF3G0y8RI9Ky-<4q{7`c(9Pfa_KV?Y_V=I6C>f`s$ko+yioLPq1DaiR5EWdxb3Ny$ zq}JnpQb9}{j2Dbb*5L1oZxq19dv5|+lPGs3-pjgqvhYP{pmSG!+vkk;ui(W~hqh?^ z7@L4{ew(m@Ohp1YZV=9FU1%nSR`XuZROMGQgjqkS%TM@K0@#*(hCr}NQGM*2Z-Y4D zGxd)8z)*2kdm=F{i8%qi-&WGbU4ISj&%-d0jWBvDcs;UUw5TzB>wTfh=t@PnDIZ>=kVctXIL(vCF!jsS(#JzTVFa1N{e2Uz}f~fCjqKRrPXTK?b zCtp+oQc~pH=mFMTG7O2`oN{LG(SwFpn87AQ0J#&DO9GdUB$aSvpRBqy`+Y?w;+l#ZMlMdv@i zXCJchvj_SD`-xC#GQmWb<}N{P8pMwXyd#@u5uS+6K8gARe4sBszHIrc6rQruk;+K= z#w6bfMx~C00ii?R^RsBI_^=p{$J+0~T*yY(OVgm=`+p_R=YEAK#2C5pnID}Kg z#-;1A#|-PVC7%o4f1aW)THdm{dCG&4d;Tpa?m4AwWcP|Dsc{E15ip8Ky8t^9f!odt zYR78FHR)~$Of+4jACk@`MNAYVn|A#%Df3?FXmNH`JNeU4A;#fBz4@i&H%Gjpt&iUv ztB8+oSu;2KJpvX!k;^4EwepS3UYC$wpH*uxv#AVM>m60LE#;XP&~Hw<`E>sE!B>GQ z;wHXFX3~usnC%8L;pW^^1}SVapRE|h+AHrYne=ri5^F~0 z*1vybh2^V~SUv>(BB3Vn(gP8d{$Ou=*-&Z_N3yzE32x2&!mQbP@9f*M8k*`i0UyVx zjCSWWzWg?SIhgOH=WUy+qT)L9ts`W9Zmx%;PSmz2pqE+I|3ZRz`lXT@FN&uRfm&RZ zZ065<7MVJMYRHP)lj);r!X~mex}wv#-BNa68UmPxGO`$JR2h$TH*kDits)M8ht-Xr zm|Jt%DE`uHbu~j1RnaWPTdiFA6vGz29W&2^pc_xXyO?A3OfIpi?dwG2MAdGRUBJ=&FD}(_F-feDn0hz&+Pj}Agh&%(nu=muf$&U8W6|-_+DZ!S440W z`cZ^J`tvRy_Q^?$G5CiF{`>C&R1uGov1X4{sWMi>4plfN_b-EWbW%6wbVD43qC%-8 zq7}Go*tCE3{mCyCL3%T*^b?muM=Nz@a`;!=R)QR1tAkHi@_3(-1vF@Y^`&OCw!|3g zrz@D%Q;Kqge*v+PC2w)Cq_D$(fN>R%lQW2FA=+dAw3Y3>iZNnN>|cmAHwE^|y^uik zalS!3Hn!-rSz(GnyUus5N@V|7Wv;%zddYEXN`v`sJNw;Lu4-eNUR%R&0#i0?@2V$o zg8s}>C1&)2;tORAp#g9}Box`CwUZ4eNa2rh7^ai zt-1KmgE41oyDn~>?EBpr{O$A;C6D^80}%_q7wXcq9w zzilxV2D{y__dtG9Clc(4hFg05D-7}Xw>SE@Dt>DySGCNvF)cPZic;N@CYq+6p2V6- z?2%Ui?8u0!Y9^+p!Svyn?@E7-jnS_5NNbY29xZNwZ3<#afhL;8r9|ozQ4&|}*^y(i zfiE|{&Uq;lkE}bpO~(FtqmsonHl|*T$3(P1NvIN|OZ-9VmAEk!$&dt6%79u*(x4oe zLlKVnaTZ4uCP|?vo9TBziQ-q@zlI$C<5iejITtpTg-TwmT%7dI{{AIOw_ES>OFiE( zQ`f;5;l|Nw{rqpzlrhi|{-+_}DaS)rZn})J`JJS@O8f`hkS401#YWM`O6lJXFg618|56GDG0 zerw$6Ra9eIc<*3M!u=rd@lgFOW?ccvoi}SnYF^s-@7>wjw_Ft&`s>{KyyG!T9X%nJ zF2%SU#iiJ+hW&mGe?)>8>4mZr>3Hx9w?@91`O#xHen6lqfA?U*Tu+y`9^*+q2=cSN zMwO>Vb5h2dhJ`6K=+rL%JR^0EVjHo<{SSYy?0cnJ&wcK|cW^E0Lo?faebR;_es@s! z?uI%!H6%@gi-^?LhKrDgZ1$TURm_5+fmj8%aR+yPd`)b=Tb^X%2IMQJPx*-vj}#8d zVn++uMMqm$9^W7ffy@P9340u2mO0uJkJN^l3`2Y0vf6nOMjR@@3{M+jALDx`C$Za) zptcPs-sB_I$UU#d&sIsl_4Ta_MH3VAmRRC_hwj9Vnp)Ipg=tVpV>g!%yi>myy7tPV zK>p1cC6Z&ef5tOdgrb?rv0>3WrS>qi$9m#>f2_Nk`9yS}j{^f@Sa!MCm;^-=RBjF@ zmq-cjzwTo&+Z@r+E?awEmH9T3%1fBah=@L1j6gh;o=ipY+YAcg$yhYGgsLN6$88yY zEF^40D{j;@M1Ow1lXU#NSx<^G-L(9hNd-UTUXfz`8*BE*#no)DBbtX%V)98+zDS+y zAD|XzhFhjdDJfS%uqc$k>sm*r`~=qFkVW3%nw+yXLEdC6OD&{dZNX<`xQ!KbpQeDhlTN zTciakN$HRlDe3NR5D=8^?nb)1yB3h{?(UM75|-|e26^ZCzUSv3dXBs7VRvWde(K&i z8(`Dn=ST0Z>T-&1<9&1*7&37nVl=wwPZp_ZTYv9X&@+7z8_VpJ z6fyQ$!(!m#ZrD^(eOqi;0RIo&Ae8(a`GAXese43TfkB%O)}cF5G#>B8H~y~voTvE} zu5b7;0~DBIm{@i$otbK$c#H|WD~~$dpEKHRGqT99U1HL7{y}0+drg3?TZX=UgPU?m4TcAB0D^I}QDw_SZoTT+G`*Qx`0manaCU3N@ zsp;+l(e;3r#IcZQAadk+4UN!~SS5WliOtb!f!9r6sz+usggm{}u2pS!B}MU~;MR61 zKOIVAP{JsUpWa)tOfl~j>~}IqK14y4;lu2~qdI;W({)SXd$I7AUA>3(EvSXTMbpQq z_q#juRr~X4tUDklt(9^_GSKkB*6^s>}zSoTzvzd;OBZwx-6P zIBejfwIDI9?sK%sr8K~UP`Kc1DCfoJq7b!nO=1aGeE!F|6bQD=ORI8M@Bg(*T zR_E|#_F7cW4)Tdp0G#Xtet48kt#Sz--`uR%WROKEkcubA8HX*4B)9Q;8i85^Ef~SV zs(CD9!)I|&13wGCO{u{2O}9A~TmCz~i@sRGTf#)g1JSL)p2eT>ijJ0bJ&qCclv~69 zmCdQ+v^!&_R@p+V+tW2eQ&U8(W|d_p}36g<{^G_z8U8%Cm#6< z4PGNZ6#pMCZSqYkACUaHlD;pZukA^Yb-nFGzqMCNmpZutmgmbV>W28{PUm%!>p!w^r@x6knXb% zm#_wp3`@(lpW*$EvY*pWU|tI|S+lARPZMyZ1}l8dDVnb%h}7W|`~y&nRR3lHn|Opr z+Y~56&GoDS6l1BagJ-@+Z)|lyKF|p|m^c~hu)dXn_oZmzyf{>aY2vmrTlfo(&-v*` z0CddSG>g)n_{Un*Ze1G>1?e44^ z3V}cKmRd!>@6Acs)5>=*f6_qw)=^p0J@Z>@D&*ZU?o0ComknymwEgsPAJahSz*}z4 z)3dGUz0*B<_w^R;lEO$lcT>F5r%6jJ($zHyFmU9A)#*=A-4&yJhGUV}+vdhb**Z48 zMkhD6nQ1kX2!b0=%Jr_giK=g!|8%-cOSJ#oERf__v75OB|16c`uqKnm>Lfk?w`Of3 z!;LCm7%Q(lUSxhPIb@?!|G*I>7vAD>NQxOgh$SNf?|tXul`PUZ_<#i z>*wkGX^0qeLf|O!QTt=)iS->O_`?fyb^!1jnIQ|@D?O&Lp+`S3mp;n|0@k2!v&yu6(1 z#aD$8#j7=TzNDLFM@zqn|Igt;3zzQdHBvz6nu}m#3cAjEYfX>H=cz+EWa;n#8N4xf zfpsf@-LH0tq?ATXr?Jx}yQu{`-IkY*ltv1rEqN%XOpS|%qpo>Gy60=6*fKcoD^hX_ z=1DiU8~?jhG#lt#6U@V~+^mVvFxSsU%653aztBAJBh&FAgm zmGhJP-S6V9y@tua_5lvFBW}o`A{2VBNk=?3cR%y!dROr!Th`_K)JHYVN}R3knTynM zCs*guMVLkO=DG$+I@j9SnpAoFuJzr~L&gJ1E_#xXyb>Lq(u*raj@U4^B%P@tbV@NQ zF8(h?@rqZwQIAjHi@u*sQhhpp@IE{dXf2Igi5F=ngTzmrPed?C|J*BCW)tIu z`t;|wHnDu%i0M|&TdS0$Gz!NZzNph5oVKf`+iu5=4`c%qwmX^5MsmtXex;)TB@7MI z&AyMUCeB$OHf~yjj*BFbMefHCS#b)f8+AJFU^j#eetRPG%D2SQ+FFwMNvGOLpS^6` z_Q`Q(&7wg`JqgSfn?AceaA|YPb~S_aH=c;eahF^e+1p=8aSR(heaM)=f`iG($oN_6 zVJ7wgRn)}PbcQ`jQQ$uCYHy0|eUusddnh_fl9xbEWTTjJV)JJw-D2$ul?si7M@OO% z8_r5TB2)w#fkxyU4kPE$L{oTjvV>nO&Plg6w(rC+@8#Z5g*gbwo9ZRV5+q(}=#0E+ z|F@+Dcm>$BeOV{C(MPic+!y7Z*tfqTl*lMCrTrb4892{Q%tpozu@HOMEb z*(87)+oo}4Pn}d)JIUwi6)I7s$*kwE6V$3jtk3|J1XX@h@cHzreD2NDbz2iYH_77~ z`OAZC6~Jj>!}cnv5KzabUXE|+qFrIt#RVGg4Mt}NjJR`YSqJ38Z@Nt!t7JK>4b13E z%VXsUkDU?unl$s~U6;<5)f{j)9xBvJ;UivdO-X^Wn$i42LA z4pvp2h5hrlzt(3TCS))^O;XoAsTO(ZE}aeJuNBl9QA4poX&cKC{qw5%i|y6uGJOA? z>!bdU5_9nCbZoe|hbJ)L34q=$e&^}~`+~g;f*Mt5;pf2QEyb8xwavV!hR`TWZCt$) zE;;Tj-{ZosBiQZY#l$%OqnZC?h;&t4-6%L(a-G#YSQLOylR?7>@OtT`U`x_-qi7`$ zL*BANUGP?}-EB%nTL#{obVe}_>Ws7o8?D!U9j>$+EYggc=$p!m#DFO}gif?r1GH&DGQJ`2MOJug5 zD$`lTo)?oFEx5_X+8RuiDpWa;5*Q9l=#?&(bJy0Y#98`%1ilt0M6~F=gek~*0ERbT zTedX8+zRZsj%qKn%~wj}5NSg1WJ~yT=#O7kzyD0$2vm}?s*Wm;7TG_$4GCsDCgCrg zI?-GcY|mMx@$x<hA`_UClqrjiMe`vis3x#rwbV7Om-lqVYyOIqlQl40cl2 z-Tm9ful!UAUfDTztW07?~VO8+(R_=&r}5gmY2kS41(&S-BGnq z0I>58W^^AHX#_T6oDYfBV(~Ju(!^KbmEQ!u*A!LNT(MSWFdA&ZUNGeR#IC;C_C?`p z@oW{cOkn3)9F%9dy8hcx&r?icK zC^LKhOhypIEoHlHcRfcGPc?fOQ@!>>!Zj3%$oK^Xz+Avf+8r%XkeQu>gv81@waYnw zmrr7A{oF=J{;W(D`yn2)1tY`w5eT=V$NVCmdH-S0ni2fzbc0iS#sv9YDO zm^%lL+&1w|>d=~?@ebma!BFm3l=r!9h|tlj1pHvQR?K&Mx{04%y(qK6$NY1s zY9~IG^j2XV%G3Gt%AGLyTFrn;cJ?8B!mM@kBQ-z3jg}efRqr6DXw@y|Fjl zn+Z_}HW)xBNG^j1@2#j3h!J1E%1bm3m9(%5W3YT5wfFS=H2E4?BR%N}yQ;7`s<};}{Ue0M%)!Sgb1vkJuU@TZR{+)a5(ENlCrom_r zZfa5zjzocS{Kx!K`UdSND~<@(f3XKnJWf2sjAI6lj_($o6VkQ%n3+*2k>8y-@gR}g z5z&<7HdtrShR0GN&$7q7H6@OcXulXFEU&DjuCiuIDOj^9D7~Pt@$}5t+1VKiP5{a- zdjUP`MyFT!%8DmoJfA%%QwA*j_Ha?Q%MshyU)z_ziUXqP%_^&{cP$zPu1Mpp=XM3Q zxhUmpoyERs=y}cadhF@+&eXIE!kv(w(q3+l8cInvY1T4oXdIDk*`mKvU}hx_d5#tG2~FutwR@6 zI=B~t7YK--y=C#0?C0O!85Pe!lAj@|XLfeZM8-DtzYb;s+PhHo^07*_%2O2>|7S#p zHk4!>CNsH3i1$U{3tCSio#MMfo%F;!l2Y4>rbi&z(}cs7zK=0Ow@PWUwb9!@q?CMI zaQWKq?Fj3BJgtNi258B%N5-;BG8t;vAR#`@Cj2JliYiIbGQoKP`f0yB;|@`wRd~$l z33I|PB!47wxFTHND$oUw2M4D-{QMvw#mY9o7`^9c+Y}_0$(=up1wRJS9`hYp!0^Sr@A_SA%H&7tErf0_?ieUM5FV9q(i%J>WY&8x zyn+=nSvcOdWnb1`jK3j5l;m~N9kM5CY-&na1z`By5n@13p4}wWO=rz2Pbqiag1_^*a#*z}+m9k0ucVFxhVwY=yy^HB zQ&I8JqT&64Q~JPwxYtJUx2hc4!RAU?Y;o`x4}bQf#(e)gc_108s7D7$i_U4>CPcM} z@5HRMci=w-Q|4*lE9bDO++SFO;FE{cbdUUbC-)*LZrhrM#hp1Ty3TGa|FxSR6(%Wi zGJ9LUP>-(BTwQPIjAvJEQEO1MCir7!9Y26=Y`d;WX`Pv|YtOf%Su`nYimS=EcaMIy zW>OT(U4OMsz%!oYFvLXtL3-=(z&+Vg+(nx|ncn^M^KaU2?SirA3!-Z)x}gToHn2^> zvK_u)W>2~{36ULR8;26_m1fD<%}6n1IqYa#85h9*vv|1D&Wy(6 zgDsz-Roh(bj){bMuh4;cr=J#@y$wIolj~p4g9Jf3)Z&-x!Hy>)C$A27? zsJPg^6s0#UEuYmam^lJou_}`EW$Kfv=f0;M5U>0I_v2d9U?oB`XMca!8FSRyTp5v1 z3-}yRTf_4A`$v~(N;1|~RzyK@%pw!Un6_vzYtRnV|6iqj;tEU9*2|~uwI?DP>bV7) zne1uV;?aksn(%yPd{oeZ=_R0uA1tOUR;U6V28k+mc`%zHA|gT>cNme>>wMU5!KNv~ zSj&kgOH_+8SiicqR-|jAc-}&}YO#j#=>IQG1^`DFnHaBjhi;)P@6>y)V6nA!7b~*` zIL61(Mg7To=hP=Z4U%^PZ5*=J1k5+l#R5*d>W&}J|6;*g1$LkG2h$I{a;~mlvFps` zbfF6xj`VhXlxml_Uo=ea_I-%ulaz7b7g0cY_$JV1cg#{riUFK%V-@@u-VWRfP?h!D zNE-2`2_o^i1WGBcE?dMwc~>Er^6~T;rpb^8lIQU7#gdf^cazdRYtBvL)NtDU8_y2R zj0v>hN(xL)YQ{vz%rwFD1bCoCVPOHO-hv#q?4sAKigTMcMUlmU@3&|OIAwtxFsbd; zzD$-Ag-0#A0tGa%}h>tj0aI0A*s5HQL!6v^Y2Du{iPZz-A=o5&wQ=?h;bIxB|8X*p`p3 zO?UhM6rR#PQfb42vt6rv7x2;%$lJpT0Zz^gP)Ykh5eIJ(Av%Q5#W+a$_|pCP) z@#9SVN#P)JQCZLHGp%2c9g?LdS?P9uwL7_7^iNg(57KG*!Akv>5qLTmO`o6!K{tGa zLKS47Fyu~x!z`bcr;+tW`p9H#hxNqeQR(`~j?2i~o0uG~tgH+&Yu?LjWNjT~xmXE9 z)sqK~NAM%;@}SH*o~`q<%Tprxi}qyoZDL5rPqV+3pFQV`@#z8!9-OO1<|D(Sc3g7N z8EP|VA$|SsFp_9q?j^o>Wx+N{!R#&Xa14AvhlTEqUzDvYY$+WP4AZbU;$bz|c$w@4MB4W}} z{wt3&CeVssI(wV;(RlgjZP(l$?@k>Ux%)+7qDEv$9Z19leuq0a)=3u&Qba>`gyCC?m>u{Z3b-JR^Mt)>f83}+`LX?` zlgItt#Iq{|!#_wS+v4B;q-h=RpJ!g)dPK@sKx_S?IHfucnO578Vi*Od5euF%!P0u( zpMm<48Iq-DpC5t!(>FhNyY@|aj7L+3T7urJJn9l{46!<6bEBC~nyT!V_6}d%ou8t8 znHmQ`ejg2;_uT_!h=#3Lh1=!l3o6a}%%-Iy)Ho`zx!#|^04WT3VaqDf5o2s_!reeS zycb{1bM53!}*|~AVUVjoO+wajWg0xpOf21_V;h;lin1n z&|$v!C(E5Nqw*g+K4uKhpSI#?aX!Lbwn_#F5j4G)mQwd*0X(>A2j&L!*k@AlF`|MK zDR<50U9kO-6Mk@*p(r;qO>rqbsLL%aE!(E(Avpp}iXg7yPsZich0bOzmv-s=A%V5I zT8H;yqmOng%JLStK8X$&LBJ<`+S&y+5fN|5VF+eCTqz@EPo9vlRy1s{jv$pGNzUXy z2oia7M~7k=r&zKvE?mFi&PNG96t;x%ITTHswG-vnZ#Bkab7z@yWjL|8iAl%1j%LA zu{hjqwl&>Ne3?v;CtdS)<|kEGo>mXq?>+!_TrGCar-Z>EAOI=2K_`OU7?ngr-Hx3o zSjPzh-v3_~pjbYuXV|!4xk#@Nzh#}=ukX5#=FOjZwIH3*Kl6?e<(xcT?aF(A3(Wfu zs8opcumU07^47(^149rAIX{$}Qj*$w`ZT7wZOx#H;qI!*=1&Nw@?SgG1%2w5*4e|E zW7OePo&$TOi`{QDxXzJ?8!-A*N;vTLe|SZcNt;E~#3>3b-GoyE{eqRn%53X8772Ov zw%)I*+-&O^kQ*q2rST*EGVyBM7dn6B{O~ML%Q*BAp*E8}R898h6Cu&ruVIhu4jP)YM;a9~hm8)h-=Ev+BLjrHSc>Er7c zqI!s?lojvZF-8)_2zp-eybOJR@t^D#R^FO|6-46Z{l1y=@22X!18bqHp(A+^w zOF~V!^q6GVhAA^X)iOqFC9tq#bQ66Sf)k;cq|ZKr$ZMHM_V_+_ET)Vt1(btE$O%wl4eb^-a zZ8fR~1a$3=2@&q8?hEr<$vbG4hagf*GhbgXOWS>nVcqg(*AwZBtp_FI5U;lK?aVXJ z%Uai+tB!W|rtd@5OM-bqZ_4=Yw-~F3pKLV7X6(GMR*Qm{oFzD{*sOHguo-nII5w+Q zv!^k3?LXR$w>-$J1e)&Bn8=FxI_~r{tL$~q6a}nnXO4*&?8+yT!4Vh&eFS>8y>~~C z-8Rdm*Y2qM6WJE;7X^NM-Q7gGsn^-0=fE?Bx(SpP>7_xb8T7V2%1>I$$8lMl-v)MH z1yDVji7;6kr13=K@zrjzqYjXBZts3ekwOw!Hk&3GjCk-UQ{>!my(1#+(jQ zWBG&SD%jA>B8(A1Z2z2ZwIHS`MI^l@ zt(ZSpVQOl+Ie&`v+U+@cR;pHG$faYoUDMnH4oukaCOmmor#v|T;dST>*px%i=e8BA z=&xTf?5}h_=4=ksp-6ta3Nc5wIz2fCxEt89m&qd_bbyldRMSEWDiPgOc{d9(B94d> zBQ60d0tkUqNr#!uSTy|9C>ySgv|gFBkgV7P3WUJ8eRR-_Ss;eLO_MAbGe#Y9)EcI0 z^lRIJnZa<27RXxC@pig+8@KP8B&ZXleK<-YfC2#rasnppK(Jx;McIow|T*uLG#21Y%prEM)gxk<{LKAghQ*g1IC(fCbT!pA(CnParO zPya%ErCs-l2#mQxPaeG7Y(so+x}FICHNEVT%H#2TrzmBF#z>-|v)0_p3{g#$g^#=D z2u|>FaxR%)YyI3kKqG!*o-kHy0-TkY<7|2No48n^c&w&HVG(i#BEkl_tg{Zg;Q!cv z8w>-RxQA#+i%RlXSskO=n;4yT`Ls*M%L|EwPN>SLwiu?gaXDOSdN^L7)#tX%>`!df z(D2=m4a8bTdvo_-PTO)e)ls6y=QWb0xi=cMN--2YSry*tYcO=GG=(L9twJPRyKj6# zDP)btn@5yI47MKtj{~WhrM*p;TeJ2TO6{g~@=IN#iCm{s9E(q0=#;)(h9lRo!Ig@1 zDT7y(t&|x$zaboG@7Antn%l8>h1*0!oMZ&CaV-w%yIii>eQ)Ywel{VDCvLGclSNkR zl4>P41B6$f=jdq}1K=fdOB;AJ9nxI;{m#rp zXz%i1NCItsH)g@Pkm&3yx;5L}=tsXprmpyifr0?o-igcd%1YnuGo%-1YdZUXTGo(# zwKd_!El|mT?YywCaQ>fs3KJi$xzaddQuo(`-$)Bg7-fDR6@R!i!WD7$7{>f+`oIY^ z!{2rK8hDo(Yk@r2ucPa8Z$V6s(H#dYHw!J?wzf8>Hr-zb?5&lg=5p@w2n&X27-mvkR<7fE@=qq;I(aQsUA^k-fcka z%fFYW+rJVa15wkCW*hG4O>H4@RsV$@!fm$T?O}(y{*8n@^&EZjiT+E2wZgG(7oC-AHn6T~i%3i0fbf1Dm+XlJelUrfHNSRYf6THa%s1{a< zg_Oi{>>Tu=i`dwn)u_>3jz|RD%S1n3yXYKM#&Ghe2W6ks)@@K)TeN#bJ|c(0_r&!9 zIg^zxOKvojll1w=X*aoPTDyz>hx=79DQ#@}Vk-_G29VokAK)|w>JN8cAoqr*8Q{vt z#ra*E>}lRgxIQCT`d-tB=_5gFQiffZ+b*apGHmM}zP=5QL=;uO4P=avC_ z&o%O{`$Km%t)97gO2bOh)s-G}N}1(8rl=9KwQd*pBdD{_3b4OEe)dxGCFCu8PI1R>vthB^eJQQ+Y-UE)e+-PH!qALfbg1uI zwA0c3x@KgH?s){aRGF%|WqBJK#UqS=c2hO?20#xxQ_q;A+oS)|EFnzk2)wQ>S1G=z zA{g)_wWW2}vw}P0XHS@EEwfJlSn?{K+t83WDlZ--j0(^melYu_vq910Ft40CDv79jQ<= zZ|4tOBxyux!k3Sqen2RCHQKwAETtSg_zX#2(Z~PYUj8T&7;1;&ze47vgd00ID|N{p zdn(=B&MI5LpSw&DTPGLzW4-x)^Y3Z_1HlJr(1&nGE54ZMk|4+wV z2h(dfRw?5Y93VskSk=XR5U)8i>11Y`PN})CG@HPEMre`f(0aoMkEp>iqZQ~ zPEw{mR;zuaiiV#8_fQm!ILfO3=lkDuOMJm$6s0sxi?l))#75PL(d!!9nb*?!)Qu9| zdbfJ|jnM|~-wfghihMGIld6A#C@=e6{M+03JS3u=l~^e-6u??zE#bN~*uLZQ^@zTT zP*1ey*!1Y=yS~QbEE!CI^S6l^jbojdQJu2L$0I zGZzvq>zw}?g*ToBlud1&jj|lZnQjwm;}8WtP*7?9vp18s4p%S+RKbzv<`ZylF`E3CeL~NTBV_qCo}& z4v8Gd8XLFD*zk+a%Gf(f>Q+2i3Ynx?3VX4X#=kN_&Mm<{o*5OW4)U|jV6xa{TOTtY z)f*xrc+lXiQ6}ECAvw#gvskD^OJ&Uj46m@XrR^rfe}KHl;Lnbp-*UL!+v{t#Z@ z`ysJ^0Ump_p&x5p|6RtkT!y?5iL(K&`!q({Id^~WeM3ZDMXrmQIv_d>Eo$}P!!Ja zFrGjB#1kqNb~0uBA(h+lT9|nA2?IhwixWsCB!-kHJoic@whZZ+KHddW+T-tzKL&a4 zGeO|3(5N58-}f!17wWF9oOlflh=p~&{Ne_U3m^&!KA|$xU9BuS5(hhPl0Z9*)2^5- z!b{Y6s)0$;#}`;HrKtcNm@`-m-XHJ}V}HC+dveI<#A8|Qxe7utLP0cbXi;5V_nyF^9dVgZ4uHv(`W`cmxvJPv8;%YKE9wDh7Yd z``j&$pNmliFisO&scV+rph~(J9OWW8?*EQ+E_}4s=H}Eu<02J0V7Z2aq5Kj^Jv(D5 zq`bR!)#N+MKx_dcpHJ7?q#c1t0pz%&RzQ%k#Q}mXRLNUBA|72!WzUlHmo?U+MtYr3 zYXEZPHcc5^B33JdjVJwatjJVJ|5c`R1 z5g6=ctOZ5M;F5%BS73=_f}9=Wr%wf?hlWRbg7UBvpRWE};W8i@{a*4ESih=i%AD2qJum@6`#;xxY5Y>SA9}02W&AUFa__=nLvW;tjp;% zZa$9UP~==-xGv0_m@Wu|$xV8Gjiq);`Y@;glD?z>4! zyb6j{f4jHa_lQlZDxp6k&V678kAAT8epvg>Fj`O-cN&V90m(ztD5R;GYo? zA{{U7P&>R$-`BrC2&Mg=EhZwj-baFq!`Nm_0AfRP(@H*Db=(KKNzT_m>wNhW#FisN zw;xS(Y=0HH_bBFXj}|gGeF2bu%!#@AnguZ}6N0xW`!)YyVeDHxA_rW&JEL?8m z1|;TyEcq)qys`u?uNNrRAnptpL7~OwOo5H!`9fl>n;Q=ZP8mUlI-5R=54yzIHv`=b zj<4?ZP>-DwIBd1Fqz@JNr$p7&S<_JWCbJ$35!8P-POPt!R362H7(iTN7+W86Bo&zx z7ZEEyYBeJY;OeHs!YpuG_OW2WMW%uFbZqgk2+E8JkURb_%xRI>%PdDk-+5No*{J{? za?7KA1Hw)qT8!G)UCRhk1<>*wfkw2OI*w_t_5Xkd z&n)4fJMyI{OyY?jkoe8eiLB1fQ#x1HWQhpT-@%jExT3$pL~gu&e0qX9 z1|l^H(f$ZP;voACYZNPs0sfU7<_@g&hv*8&JJPH#CVoQ0Jb?u>uJZX~e_^~e^n?BE zVk$GP3l2dXylF!5+JJZeMncpMZ13b;Z9Wkhm`KVAGT zeu;i$-^zn3?*37xNbv_TlKP%}2>kJfTIz$CQi$2Rex&MG#819K)1ThOOzMcJOz~rA z6+d+V&3RXr8^}6u(y&46%lxe4Nb^tB{Z_1y(}g$3&LNRH=+g09E4~u9nG|EI%j<+~ zTz|PR@bPq2r3mP;=rYO3kSIYri86ccnxId@Y3|CUGEvJ~Gsl7p|L!O^N4hSsA1^hI zLmPE-45;OQ&n>mi=FJn70Dkp0Af|$kD1I!+7 zDUCp7WXU_^izSOi=5Sg*cAnz0H<&Sk3+TP(!~2O-<7^Ced_*8@PCsA}XHbI_3+D>1 z^mK7`^)>$tsXU_g%N79>EP&TQ^uEbXms4Sc^h@RMMtShQuuYt}hfe z3Oudztib$znjFGdZLBdj@~a>>BSS16dTA^mSG#AoRszqY(V9lR2A~R$j!8Xca2ea| zfm8fmrc5C|Dni&Wb4kg(bCyDJ!qY#fzZQ+x0^nMn|EWi&Mp`@zk$J;d`q+6TmvI(g z$eysqwV^ng)_elNH|b<4bF_@8uTS@cw_3wpVl{VsdOu!J`pru5coEKoRr)=CFZ-81V#^{hh#?=UGTR;bg#Z0 zzYllG-Jq0tA&+nM7^jek%o2;b%T#uNUKzjhk8%@}s2rfkxK&`>I@m~Wk2ic5?`FL8ydjw?~1f z?LJ8C2u+i6A2%YXU7EL(<#IY04)y!Zswf*vG|KkWF4^2NJ6|uMqG_>ZOKrzCK>P7~ zL>hj8t{^PzLGm2Rp#r@^sf_pf*evy+|I)B&o(4%Yv4&SX{zI~b_`;F3e>aHh#5T!c zbGyiab^r7ryB8fuObU80)96eNqS^eT`z~Iq1iKjZQyH7hy#WzZ`_G5(+W)+mo=q4~ zwPCS!oMpBRk;KJ$E_BA}isPo()DEnFaBh+~^kY9~{qYgiL~kkrM$r9<9_gmwd3y-P zO79hNHJqiD{%;bk_YHG|BQ`g^g_;AU6bzOl{H%sC&Gw7X5J$?|TGld6$Wk^ngAW;I z8YZWW6^+gMRgSMTmjGu2hr-3hdC3PZ5*i{WW8)w~P8+ZC_rL6E_Z}VqObywz3*B=E zK;Vb;0K;*JcQi|5IexI;p8MR9Gtp4qyajn7kFKTSja2k4@ez__g21g0u#l*u)&!U2g7=!I zLqq1d_f)661K2snbK%@ND@NFZh!!Ung?yX~E+x2p-}u^kJzZTw>$*1&)AlrduRq1C z=V7Q#3RL-i32$Kytcfz_db%9s^@9HT)bp}IZf)@z>LYC3TJmX!m22adgAd&!7A6d)@Ef`3e@fu?N-!Zkf_15mAwd5zkd-yA@&Oqt_3R9T+9dsJ&#b208s? z3zC!#*@H zDiv@t-nqp?;pgn;yS{ik&m6t2Rmc=41-;*e+}_6D3eT|<(1;a1(D{W51tD$bZu@KC zr78Md?B~wYWfLV{F>Sb=GFIt!^tqJ97|TE~0`2{={SzG3ZETxp_jC^ni6%OyY)plS zXskHftd5=UJ5q9}Uw)()@Zw(_&aeCph6y0sp43n^wZ!+Iq3x}ux^?;O6awQuB_L!& zTX-%>uAFJ`9!piGy?sazo5Vu7B+D~y&9X}HcM%0u!__B}cA0$_rYR0BTPMxR6wL1K z#Rx*vWRu#x*SWNAOc@hQSMyu_6oTtydz$r+0&Q#LKKPre)*J%~L5d%H zU}De^y_r1?tiFdq-3*XhJg(`%je7#@JtQFx(Grw5H#Zm}a;z+a_qeYLW{`%s?+T-# zZogb80zq3ka1B^c4S!|-I=h9D4~#qkx&knnRb+N|ck$6e<}5xleeWDUJfsIkfjfyk zk>l;DF32%PL;rB0B^z%(3Wy+SXlS4<2@D>_C=|1iE1>p)9MA8Q8>(4gZ%eOL9JOZh zI3J2u@RK(9?IyIIVXJy2>r0Ku;zeH+Ffl@t?;b!MS2ZmGm~a~2xD#j` zOWSx(3DH)=@Mr6K{KQhLp1X`Sj>Kb$UtsZ=<=0#MXZYc%19e~J z5T|#A3j62M%0YMU54fuOQnP~L{=LAFqtHIOcl`S3p#3o~SW9)38_DPO2uDBXHI>?~ zaORj))MsWUe{OVTwlPh!AND$mN;pEKiEmv#s-Cw8#MkL%!%)$?smGwVKt8hId*FOW z{Y&40u^i|Q`+-3VL6RijRjGGeo5w_uz27NZ5y?T=*X814BJH7l{7rXiNIiPrS-|h< za1tyG9Og@ms)Lhbyql3SH^l@j2V6Cj#5tqndLfO56XU<4Dq7;h?qp){8?(@HE`$+c zp?!NP|k%1z4E=@jK^k6-Y9cMF#&o>FMbStjS(rHB8w zi^usBn=hYh^W@-|0D zy@E{RR21nme`ly&Kh9TLg0IL9O-Q7bmR7BxGJor3Azty9E1x{MW$b&gJM`_ZyG^(d zcGTVM=ih!usC0DAXh3X(pF)7o5*BLMx3|dSsBywq(fdj*T`H=|;GPoIF}dx$zGefX z^p^ilxs(;dO2R`*G|auO(`FgxqBWc+ zHQu!Uon!HFF?=g3Bf~ApAk`b%NeU9ZR|CZ{D!%e81JF%XUx|xqyJ-+I`*j@Qy*Ejm zsIt@uj#Y@cOw&r?jG0o^BDeG5+_n$&{gVBP6w%PTpuSW_{I6nz{XxcBw1waXO0H;o zBGY^!&}Ub_a)J!Q@;-`sGh1a;`WpziLCi-N7H~layG6q&;D{v}W!qQx$YJlqF~PMr z2}7E?x&yV0CMG6mbM4Wf^?eD%c9D9<$5FxcFH4R5=Girj5zMG*;E$0V=uiPJ>d4*| zsSLAMB0{?2Wv8m#h1Q@*ML*|vzNv}|ewP(klW_OL!q;b2oXxeZ0}^#1#-XrfB0&SQ zIuEA4a*xm7v7B7&N1f?Sb8=z{gVntL&5?){W~Q^1>{Xuss_}h6a)A0kc*@9I5Vi;~ zbVEIVh>YxvH~A7)E2kyuYJDQFnC%L0G7U#0t0-2kO`gAZso#>gA#X2TQHw{wu*|@O zCzdO{6jI1(DekZu`6TuZ+tUMw*lE&V%YUC5!+7OJX_tUsSz!TlkRsfr@t5Fq3+X}Q zda?2-b)R2nj?PSiF+o1Q1(ta8A1@sJr*MDG;#46dB6X-wO}}ve$BG`I?2b-aRZFAQxGs(e0MB5`izjs!g13IrypsUrlYmi z-za~%{_h@Qn6^z6L1@|5?qQr%r7M8aeW+2M6_fOTS%3tx$kYmKx93A^&^>`Q0I4b8 zvveLTOt>l^PhS3gG_#MYyuW}m#2zPtIml9^&#F2JMI`5zM2ucXFV@-HZu-|!87?0m zAcIC87u+*q`+Nn9Qxi;nKe0D?`N?PRgG2Pd#?upma;6Hy4%$zCVTPtJwYWH{?-Nl- zxQ9&sgn(+qEFWf!|MxjoyGJxH)Sx5ua$P%MStfhuA*76}6h6kb!z~+V8Et|T>U4#f zV^%G8w35fdncAuPMX7r?E)l#d@>}eMnX`E{C=I_TVZRrrZuOm)&~T9iXJ!4D2)4F< zJIjt<@*Z@N%8aboc1>JfUK+9TSNZ|F_xSYGKnu6XTtO<*{@dWz7DeY7xb}m_2#gL& zpw}RW+i@VE`v8c-w<=C@ok0tXX~aAoCdqW^iCK0K3;?+mnm6H+pW9Q5xRpbQf_AlVV zi*b3>F6o9$uy98OP+A!9w{r2i78UR7x{fdYS@bWf;=cU7jlf2MCZNJQ{Se5lKnV4( zjFb1&dqL>c9RBtlZnKP5D_ucb5T@U}*JipeMwD;1=oFh}M_8+hc^5O-W?iZPz1tVo zpVVYC3Rem}mdCP3b7mRQLBW(30-IIGIdeCht-3b*IKV zWb|#8>Tj^RUmHr7eeNaQAFAnMF~3wgz`%JTcH0mRm0S!_yx3HtpSGr^ z7aL|Be(+0DBB$!*L)*1~_3IA}k0*_X?mML3iCP|&il5BMe@*EuJt&I2tUuwL!7Fp_xyi2K)w=JzLN>2bRW7qO?ugd(f0#>s<7?`jvZ*Ad z;2cb?*lua*lwGf5hWsgk*0sA_qj?L0YR7^^A>)qM$GmicYR4F$kAYbXBj|m`)b%2B zFDm_J`YJU|B|GhxTE9o=mHj^R2|l^p=4NpW(t{0)gZxv8&{)V5IjcWL-ms+guL0 z4`ax_+57QEERR)PMUG{FCPEqO;^FkIO8^O$a4B{XyPNwiV?@g#=1NF=N9SbH{96}Z zQ5kMi2Y=P%*Cp7`N~EeJYQ5UQVlq9dvfiCuE)jc*PQ%X7pw`Ifw;#5YovOu-WVRhArb?ChiRvz0?z zP8F3ATGEZu#rs~KTLv#q!AB|RXCz-fWCV3c>vRA8Xx{Go!bG%l)NcWQtcA>YWzutp zBC1a0r6~zzuNhNlMzO#82ly3+HFC|o;*&yYb@RwZ6b z&4Qj`)tEwCjOEuQbTtT1qjbf7&DwGN6_^eN7M-%4H8@sH)9_VTzcMi+Ng&Z_mg8tu zrhwdtq^lj5+8o^?_f68vwh+#-a<$yZVh(?wM%@^Qe^9A!6D3ed$BcKsl2RE+E9BW} z?^7s?F_&_Pj@nyd_Y@7!7M=WTUhfH!(N9CD=&VXQTlt9E_s4Q7+uba5A6xZ_2g)XE z2d?9toSYP;+0)0bZEKSy8Ukt^faUt9g4OkR}5LH-2zWZ*MQvyX~LVYK3!D zw@`iktn5Ae`%7c+I4>{nyX!YUjJ2qwSec zjJNHKI16K4{62l#+2EAsf1pt5+2);c+jx5MV7aK-F)Q&_SLc92H$x0Eyasc5h@dXo zTSM=?LWZfwLtSZj(Ys9Xo!>X&icJu*m%+}1;Qm!2`U>f%XS4pY zs3R}Oi{-F*(L!CdJJrz2fR``Jo}YxN()*QU-VxOcb3bmwV)e83XT%1#b|#Q})c%Im z`75>{qNqcPl+XXeO726GAF*90@~(J&1v#bqb~_0h{iycWLAzR(&jUk2GM?#~@i>92 zIp;r(5OLc5?7CQ6n4+4QRT6`hLshcB+m z3$gJ<;hBbp>G3i>g}i^I#H!}LFQAgN{aqn;NCP|eHuAhb8 zG4x>whSKd3XSKyaKqfbyedlN@+r+*|tZc8Yb5XyESFbVCu(R|dnX9X|Rg;HWICoZF z9JxG>a_0H1t#`LAzweFIYvXV_pR9|t4_shb0?%VN4@2n(l{AqznQ&i&@(iAbJLrlV=~__z{4n{~t|X8B^EeG+o@?-Cc@vao0kD zixesD?(W6i-5rV-x8kma;_mKlJ$q(nXJ=^RxTmi0S5<&|1Z3Ca zzi1ayuWw0Kt#g44XF1K2cj%#3SRQ1F|8bBa995io)4+Ky54JW-Ea1X?hQp{*gotQtW@v%kb$L~X3HV%X)f`b_8mDmm}N%VZ*rx9mPP>y574}MA& zL(j$IhZbv(IKFS7HW|eNowkU6$hT($la@WDFwB-PiJf2wfpedjW_o+d4G0rY%QjAW zw6UwPEc{>pB`m~kJAf)IyBxOrsEv!3 zZ2)P|kz0pmY6yS>2vL9?-~TRlsdtTuzw)E9kyP>mo0EAfSMm0>-@e|7XP~XRYcyOSpqazTHalg-S|t`QdmADg`=dm@#&k>_7tDX{_OF>|NxZ-b@+$ z3481OkQ>QKL*o5ZJXdNtSbjEI+5It`B_i>MB;xlk-~p4RJB-or-5i0lH$k)QWm0K& z%AVeOOlBtPEWpF_^?lx=aLEHbs9+~({xwMU@xvBgA-PJTGm`<5D|xo^qmMruj$?4w z7(FhY_&hLGoGsebAt&SGpnjxkxQ@cqbt8}d z^b=m-3-;82+ml|rTO#Q%7X!@_kUw@$G?on~X0NE0f{=mgIG&ZO*;p^&MW){<8<0&* z21<=@*r+DkoGr54d>Lc>p2L1~WuP7fF;}94*W|ZGCUM{{HH~__GxLt5qoHZ6xzgv^ zvlpMbw(<2GRJlwe0$3H|ISZ-Q<`C;FXn;D=Nfu0_m&1pqIKdDMqkw6uqB#h09#1;V zWehPKL7-3>;{)z(_55Bycp3+?s`n#n(Mh-Jc2&H}^1!edFHTI(`zcgxBJ+5UtnDjwji*S|W$1B_P^&$^g!m(0{NY ztH`U+TlgQh^1A_NoV&wu|LG@zXcFnl`NDNOrCg;FaE4&>p=YBuORn$3@-QU@aG3|_ zE|Y#P!6C$hVll)OMo6Y_mzI|^Fo{(K|G>|s-*1zi_Tz%#V-HW5JyIkL`#~MH^;w49>EKby<#$KVCRZ-aFI(`gQ z!;^@%kc=E%fTLJvNlO_|d`X;Esk|~*(%N(0kxit^!^-C4)>FqJKP~6VlC22Tb8XQN zb%6^RHG#Ah5({R*&$ncLY{9?=+e z0$ThigR>KaD#V#R$se?M$h48Me`QwHz+4%Ig;{En50CvgL~&`$l;m%uV}4R1wT*B? z1n8wx%008VgacTckpQq+BRHEu2unUErn_lSJBzbG!NF0^>gf$3C`q0gCxC0E&C;@t z{X52VYhs3EX$~x*Fo-l?z)dp{{jVOK?D==UXO&xi2G{<0Cz8G7MH6;EWl;MSDBtps z*M0Ki)>D~*aalZW8r}qT+ehLXSc!cQLo<`%7OqxsQvdA=(J_&{M3TX_qmCs=HHx#i zqOTsAF-cT8O*KlrX486$A6JDM|A`{C;xel^a?mPab(IC67!JQq7-zuFq8C@}4EW#- z^T??VY8MUWHl;Zn4Lf# zts>v;pKooM0x1$*20e_O$LLckb9!^b5hEQ$4i9Yj00D&|{+<)xnCbhz;@n+;Jdok_ zH5=4>a&j`zhcSFT@BpE3!vlzXIhPN5oB!JpT5x6VIRb|y4%?75r@z|TMjb%ZimKli z=f(61Qgj%Pv9{dbF4E4Pm;||ETxy{cvwf|Zj z_ncF~n>B_K|GF1?{Vd_4li*LQay3gj${Qil;f*n_p;u8>wgbq{zEge0x+#_5z0*3s zyi&8w__A+|oP-X&hjN$@JY1zpX%7OF6x3NTz^iY=rCeayoB6vUw#hjGe@8y-QhehK z(`Bfhm<&XJRcc-TzsOE;B{R-KXaqEsI6*(NFQupnQaK-nx{~Q-ocklFjFy287zZ~6 zpC;%K9$`D)OdfriEq4fMtN#ULt+V`Qa}M4Ajv|7<9#XGlAq3qg7!tWLf6nlDm{r`d z@{gT1J~-x|jgM@YXjS)I1Y9A?PlTlx=PzOHkQyY&vOaI@pW=@ukRgf{k3N)&uLV|W zD4AYch|B}96S;kPPc7FUAj>_BF_oF32ca}l8A?Hj)46)m6i?6h+|1+ThuZ02r~L<9 zF?_0kFJ-uFd;dPp%)he!A&5SDr2uPU3x&CD4*#OQcOso`s=#s1*00#*!!^uyaIO}k zI8?AwEWu8n-CCPv1|UezzwolSX?A@kC%1~Jyk@U6H>&S4OkI_pX>C?2OhSeD{qcXl zc&-TLxh|I;!hxFQ7!E0e$-jaxE*gPThgKIS2+~4CAw+R_VSh2EeLGw3>mYOnZZRxr z_GZ(oiBXtNxJ)h5B8C5uaP?INEy!l|U}rGud$%9ZUumDQ0V${v7olP1L14ri{=HWY zK$l@l0Wwnn%K}T9Mc2`Nr=-w?`Wxf#9bO-PiPQk)rdm0VF242pk6PjGZ-pwrNdQ+D zazo4=HQwY=#&&kGz|mLjViCB47+#QMaZOrfU}y*yAgRgt$f)wBosVZr5F!AXQK=;d zCnu*$=-P*N=`)e4;ArcDRvB3wDzp$TOWgcF9-@9B-nYNYmOzo%oSV8!LJBY&mrKA*^) z*d34fX3TD-EF*QUwE7uz?kR+Qp43Y(4-57r)N&LSWGQx|K#6JyM8Pw_i# zzvSsC8U|+RX#T~~8POuqSiy~$*qDr=fo55B=`*>>{#NJ^<_^SZZ&EmU#FN%7E;n6V zin`RHLKs`bb7c%~MTZnLWQfs5_0{)#YM4_C4%rdPvFBek7GHrpq=iDt?9XTR7TIA} znGL{y)QEUmmckh*X!`5rvF8{Xd`Qe(t zY_Zl&P%;%|RTA00ZH^IQF#31lt^pgqY41lufH^1xQG5jhVEgNYI+}Xb!S|@!@rLgm z9h0iVhg#*hbORya$Xqg~Dm_{i;DBTK6!{bF>L=v4fb6pA43@e4WOq$_w~Sic(GDJ_ zdk!&tGPZR8xRD_kGb`{V|`y~!v zvjN{88{;yth@``E%yj73%s(Mcj)IdLc&Q8dq?a*&d;oA2N$Xjk&}jI+_aA(@N3wZg zc~fY+wzu=m`*>dImLP|peeXn~qT5b4s`zH`XL|1RF2e7x(dE5BSa=MS^3}yDPm$il zc(;&vW+XkfBt>w+;0sIK#}yvz$5S3R`vkPI&$DS<6R*g`kBEzMdv|o+K+;ZDh1r1`rdw~g4VA-tYl;5;mi4Y?{Q12BQtiJ6RjYePN6DoyX zPMeJ~Bf~j?xP-xGQ4T7-O6VIcWcSTN^-CyTD=nYVa-+^dg)Wc@ldFlxJxM}05MO=# zUm3fbo{(!C8-Ivp4qrVB?Ra2)V^k=Dbb8oAtYtQh;o-K0Qfa0oPh<^OHrENKZm1lv z;5ggz9FZA6hqw~8J^iW0aIgI3;>Y_BjpuM^3Otoj9!4)b!|tnujp6^=xHx?3DGu=U zCfbrN=+GU9y7S-DQHL7Be_#Fs=5|jL zSj72sH%LfGNyrgw$bf;xm_$TS(NA?U-!bjJGg%eefJPcW< zwUIW=)b|s^OokZ6^_uMi@eNPkRHyZ=@sIKl)0j{6d;7kXHO8_%pI)sECa8jAeL@mlpBL2gKa%<|R^6$=2`**8QrME=^{zA@r^ zaPG%0oPERk35FzltgWM0{g4e!90d)`v>EnEz6wN=)TGe{&E-mTVfwRGV8i%56k<#- z{Qw(vsNvN_g;dS@I<1_lQ*24~cMAb4f9!bostE19qCO5}y*7`;ZvRuLK2SmOYKuas zibBJovrkRmXvp#N2X>yYAO`eskOx~3Wvnq!W`_8QrNFsL$avc4|E@;VDur9)>N!lT zt)l>ClkF-TGbym|t6~L@K|v3;HUT%DPzqIyyTsA;kkon84ULThD=UO5*d*{@NU&%d z8XCw}#hpI9ugf!+E2K;#>0mBh7d$(B@uutQN=Ef&b{`Djz7R5dymGvn&A^qQE}@Gi z5$BAUV( zXhe`HJwrsdNfGBDe=&>E z_FF00VYkpxDv=AFmkg;wuwS!#R7Vi(Gqb-br;T%0huHE|0&mW!+qx#)K+5@Apf5H{ z97?yZ#b$-PXP0Bry69n(EQOrfSkn~0ALeyP2InhLB?deZg*81>S-*a@c_R*uEfguW zeUXSNX9x1~H}m3U)9~Erg8)QX8UMX8IKt=@VxV{vf7~WcS!cxJNy`nOx!3$ba7~Q^ zN9L%c#TecOFb*q;W2R7sklT|AhGHwERja(B_p-}V`nCGT$kI&kOOY7m4!u=9Loh@( z48Beo&r-;uQCQJu?6-{AU?w#~z-$wGW#cdJi_KnK4}TIR5E>HCN68*};BEdL!HfkP z%*Nq8>DvO#kaX~K@oz(eSe@?fVL*Qc6v-vaM1{)OLTR;v&XHbxaX=5%_IcX#D@{I3 ziJ}9xANd*+Bw)U5z3l%aBlIQx{48JmyALa+2&;t+-9@MBfhn_;LT)x0B*);vGcS&T zt`+^bv*OZXH4hVkAk_y!IOaNB{&$bYHXc z7f=5j1NUGKiD}!O8#40y{!8B1`7wto+ztQDd{T78P9@H9d@WoENRt_;=5xXB+K==) zqmt%RF_YuW%ithdY!4{I#FIaqDN@^vu?7%LJ_i;HmS~^;2*Fi8wxQ= z_T9MgPoM5j@axGOzSf{FCAfK-F_JIv?C5;eDoy`}3Oh0xI-(b4W5@H}l(A5FxpuRK zUeGsj{Tw64y92ut64++0*Es*I>;P*F zkj{e+*gIifV$I3Ur2|9Qc~*k;&@%X;K$(JT7qztciCu6*DgOUnfsDV`KY6m>RTmc* z7r6ESPDKE@Z?o-Gj==E$IAx`uro+%f06_srf|9$iE?gB`=OH7C@MC50yq0!ZNK4Hj5b8lB))SVYa)CiuM)>jh4X-c)dsmZE!4#z)E*PW4E_2VXLvuxWjWji$>i_*@FwPnOt?;N@^h`xLC>aBpR` zGM@^&E!GM1D-(kRF~u&ZK001?`K0m$Xpv3~sRMvzAT&fLFdo zE5SpXrd|QwGqhZ=^$O7Oy7K)^sHUIl`L`X!9mo&GQX5@m?Mu?0)pS~n(E~vcMmpxK zpI#$l>a~XfO0^jC z<=O%)z%(&e{*+0JMJu4xG&>|%-M}8*fWB^)w-(-z_dc_XHhrGZV!S&o8D1GMz-QuWsgs+dP~Cr$j5stp|y_@7J{Sy1c?vuy)Z!! ze?xCV@Fwf-KdmU+1;C|ZSed@LZJ49%lTgHpt~~|}dy!v&CDBrDl;r~f3fy;ZiJP-; zX1!H^)_wB?7MTf&c17`q6$b?&h9ak2 ziK4ND>t#S<%>VdtbEPjs$O~yJKl{48)a=w5;2L3RHe^so4 zNk7jy^fL&10+~TuO9vEA#?e0x>*h`x=Fc2$9{xc0l_W*sgPqPVc;o{u$0Q1hWkNjs zZU=9HGS>aCv0i;gl0Y<*_e=$%t8Q6yeov!qYMCB|(Yq8Oi1J<53#w9v8_VZLkx33X ziZ`VT%p3qylM+Yn66YKsGZVc0Gt2qE<$))&djD{}CqQRS<%vua*>?tZ#@$yho+c3k z5t6NdJ{eGx0a;nQpaI7TKyUv^N$4IM$hqH;6yo6JY@{ z&9T`40PcW62=Hsnyt@LgQ|#7 zJj;CXRPm8_FtYrJBxHAN#An}nnMG(+iqRPN%Z%GKa=Almvp1bN2VO9{SC zro|up&|4?*#VesiryUclWfD=RD=+K#DC9W#8mbXiCoV|ck<7lI*(eX3-$zVe_~Z|!^I zDhqLI@a@^jm5LU`D>d|GJ_7qpZv&!`9+(TlO+6JY)uvq zE{A(^*cEV106Xwax&Pa}#3<&N4=jbPt})X%{PWdN3-B%_mXzz$F6vj{dmK4;su?`d zxRpRaWq`p`Vs$X9m;wYk1}>oFyODPR+#=BSc-mJ(Em&|k6tvWoEByh9-}OKKGCcEg z?C;QZtLM)5Q@AkG2RFwwdcN*BC5?T%6}!&aI+;1mxeC_?J~qL>-*3o)8@k7L z89QeY;n>Nd%}Z5g+_=Wk0Y|}#R2FPRK#PnHjUOu3r3Y9EI=;WS0^1G=AO%DY6Y#58 zT3Xub3qgvTK+7%Iae2<0>_1U+T-pdX3(RUv#T6mJi|#@noJWz`1*V zzF;u|PhlTiCxzRVI3Py>?b_`JtA5@h_hb-gOa5>J!U-zhWPj;FU=Jnh8xilZR6kT@ zby3X1f0aI~GGI~Ux{32bDT5K=NIgoyK2q=R!!(Vn#n&+~m7^Q|mt23U0Q<~#&}Kbp zFB0QVU4NEH^k@o_hbI)6Y&C1J61&aYHz_5m<8K;2`mtPOJP+f2??<;NL$a%|PAf~m z?f!Ihh$%i?=i>6#Lmh;?N<9)aV*wG$ajDWDyu=E3r8UF3mUnn+|o(0HPb=awoVu>0?p==TWTJL82@Zq zI{EaEa+4MYWeiOvOG;|3Ii9jT+v*pL26)T-SsvsMUUb*wwyI0>i68GY!9I5;yK_G@ zmJYSegIKy@#FZOvp5#W@5ZZW`_RkkcVh>Lzym2s7oQgW8Uf*psIth>&EM+7x!MJOP z72xd8EH?`Kpiheer^Spyq8j+(9H*&Eq^;*wl=s@9q#}!dgD_Q0(L`Z8olbLl6E_u zwiNDHwLr+I&2NBFK(~ zqo8MsfuE*?jb6gmC?t@&6K%=2VYUXwtc^d`;-|vswMkbqJV=bNR+NNx1 zl#+|7R`#rE>L}Z?ex601mN~ z`FzvHX)zPw!>9ou5q_!Dqf50yu%7jr3Eh!$15 joB@aj#$pLxJ0dp(+?sy=f5-V%47&3m&eK!1K6r-G1+~}=#@p*Qe_oWb)czkjOzI}~^%TXaosC)RKPO*k9jHwy{<4=r_0!7>W<~Eqe z&^Am$flnhixUml+LY^U$)VqjvHr}V+FSc4GtZAEd-6A+I_^t67LO?7G&#DZK`#zdt z5+}K;aF({!{1aB+H&-c(#_C)32^<&HFq9z#U!4_LmD!|~;&Qq|7g5t?LgR9lM*aa& zCVt!oTL^4PUNLS!C;h6-_{St_1j?7~C%lc?uP{V^=qXzS!MQ82S{t?!@FWjx}&d|o-fzoU(>m7HTeJ{u%d%T?`Mvo?_VS1r9LId z9lyRu_Zr7i(DeRE1QnEg2pjqWUovx{n#^isxWS$K%2Y9|wx{9V%x($dL9~Wvc><}x z4U6mnH$owQ0D`!wT`G3sq>axL|7E{mYRGhZd?Gd$s5C9g<2gw%q0Ou0;9E?H;%;Le72sZ7Q`&CitdDIDKeuin~HWH3qMkVK-% zye5dE#WQ{L(=syW)XOnz?)N6(B0b~Mih&T;$898pb{ z=ug;6tht&$fHmL6$UzdjbP)!yKrH;uYK%Wrt3Yv0Pa{`0m+`kRmdQ{Ii_9|fD+g$Z zF^*kW-fsjLR5I&%)^_PSE~!EWxE0)_bvI7!uAJVPnc6Z&-74fQp@sa~y_0ye+(G)< z1L*A)2JxZHp4`9#RbL`EIK_FI+$v;&PP@{a$V<}4wG*^~ilhfagMDrwDuQq%Ev%3D z86bn14dZ_%ACymfucLsmOVO$29qpI)DsCuo1eCIAC)#M5e-X#7e9Jqy=>E4_q+g8w z_xB6eCk-nD{}#9a2Ikyv`oez;DbWR|)94_I0E_XDyYAOv5MNf)Bk!`#DwY0Z5g0~Z zrE1dQHV58tNX`5uUx9@#jb;c-n*qm>T9l1~_YT^GS4ZppW68ULyshSK;?jL;-C3Wp zK|{^(a{#oMgEgz-ulX}YLZvw7(Gy1y_C^|<4*PbUesvv=p$zD)5HGGDYxgReB(fe` zo5i}cM5R`OC(Gu7D7;JgHPicGvV&A)tqK~EKEMP^H0bC}DgYkW?x2hJ_HWnY+w|kd zZw(IiRL|gv{2dgv)?l{S^$`2_!^8dq4lqH zhf#Tfdi!ii{iA(T8Y{6d!>FJ`j`vK}^(J`&8L3N=xy1MsmZ9Hh*nY0ub@{BtB8;^j zEK3bHOM`04CTp6Opu7|MaPJHi@( zsP5U{w8`DKPKrAdu!K?mGqxqbse-Jr9)`eV8{RbVq#_WH&DB_j^%?f{GVmGH_^&K5 zPlj|)lz|$JT155hPC)?5%HO7BY#b<#4D6`WwRd$Yl>m!DNeXm#(Ns(rvBp#nHe?-Y zzw2PffoV6^`n6Sxk}P=W@h%d?bFS%cN(TC6`NuNCQRghbJN}`{_x?G97KdM0=lATV zP>ZbWvW3K9-`f`%HGcZ64Pi{zq7D(l{p~)2jx`~@mG6HQAY4Sysi~ME#bOp z9?xsJ6IpN|grCV!Sike5?W4udDlT-~ z;G`_}QMAi>#5$(NskD_Im>Nc#r0y~L#6}(ArwXFOFm`TBWTKz;B^Rl~O2?S17U@mx zHDd1t^B!4i|2X>Qg7_8L-EFfpYNsDJe)oJakM%R^8>1_bW4~MLNbu?ywmX*^v??E3 zvT>Oy7L|`k-g1L#_l=t%my?1QTjAmB?&M~4h<++LNNetK?AS}v4GAu_jE;*#Qzvzo zpl}qRk;4xK{27RcEfxtVxCvvn{p^|j&Th2cB&4ICD0ieF?9aXz8kB}&bw;E55#J0= z(J*SDe&K}Q4fpSQAl=me2ne~rHN?I)bdG?k;Gnymvw-KKIEM9I2oeUv&$bUXFPg0| z&`2kO>F^s%eAe_zEzCxbaLtHkkbL!)1&4!G4GKCYtpyIX&i}F%OEdQ*@~hJ+2^`U4 zrGXBt?8D|lw3>N^snyuE$9A4B{SQmAae}vi4|MGKFkFfpEr~|`7Fe*r@IQofa@o*} zDa2nq!ZsCX=qSPK>UY}xuLbmU#Vih=`w>(2^zrYpo9f#Hay-neRaC;z7~SEL$lax$#mXR2r`v z>vdCvDv*XCktfpiLRh=VTDMe9LDRXZxhH9t`75P&78$vs;b6fsj1{Fjiox~7FYZUe zP#o0`=s?~d4%$0foXV)it>yW%-fNkHfRtW&_Ey&rrNBE+XenJnK>J{NP5~b6U_(7< z_@_>pK`A;sbHyCu_t?YIC5No42P@(UwMP-lc|&{%!tXyE5F8SD0$U+&lreFvgrnnW z)EZ%4D2jzcW@(j&7~nUc5%Z7p&rDqPvLN0IOhR;vG1WuSN1=J_XshA0UD@PF&>w4v zs5)qqzrXs=cW~<8kr-99OoHvh0&+PFkK@+a@x=h2?A4D{oOD-#lvlQeynD zBu+ZDI{H-i`&$c?h8(Wc2U4bB*JsLbTFXJD7p?>iPSB3BOb%LZ)&o%b`MS_QQoeBG zcB~3&XYU3LVcIXU&PDlfQK*P+C?q7{>S50y>QWkIiUEHog)!uUKQV%_CGu4rz+Wyc z(KYH}trewDej+Lejr=DK0zG3MHf5u61V;6JfH2$!%%*yf zzrO#c_z2@OO~~AOpX3@@Ip;y5IAElL64hIu@204jR8Iwa=&K50I}kqI^JkRfn}++* zD@1c!%lhT)7-|h3c(iQP{1KPki6P6ab~@`Y?RjN4uQot`0wl{2UWk7V>pVjqnY8Jc zq8V|?C=Eo-WFddq^{`K%-c1Mc0$bF}qw%lvZ@=hlwd&rC0^Eccy2IVkA73OickqAD zTtv<3fMfLKYx4M_Mo|%cA6p{QcjDn!(p~d=Gy?XWsG-zF%IIC-nODrHinPDWN(UcK zo{zsR-&o^=%S?)ot;LK^7MJ^?AZb-$n!9)^?Q%L33h|z~f=HRV2qR7Aeakk7;-G%e z=M#Byy$B&I%1Agga`eXWPX9V@p+6>Q?&J~h3&Rg#;6|=cz3teG!Crmmxz7(H@-lG= zOUy7`wZs0K5P8$J5)uC5-xMpPUVOJRYUtRX3j1O4pmUY?_c`n1_VxR_Lk1}F zPl&L>mt`s0Ks$@K7yoDv#;yvg7))YC8nilm1ABkM$lHU#5aRgM2T4|SMr3sI0lLY&%1CP>%&zWrT*jJf zOElIXn+F}6$5ju;t&Z`_tDA>m6PK($a!8(Vi4A*Zjx18+K89cOl?}(-qsI*VfihI( z_3QS=h%t(_gHGM4ozKEi&K=bV-@I3=Sl*KhQws@b7p=a`9S5@t=w+BSvZ94ySBO^ySVOiRe-wOr zTPZR=sS+772^&=W>bt8sli_88wC?Oq^PSHORjHTZv*f{+HYEYm*Tf^?f%{ zl0h(fziSuczW~SrihVwlXUlKeU=PU33)6I+*gI`%MY~8?F#$c-nI*fD&#hnP7R zB3)!vx^G`=Sail$1)r;B90g>ap6;U>S6Rt3_=G1T%Hj;Qc^t2(pG2f0xVEUznXPc{ zu;3FE6p|4?ac4iReZJc@*p&Si(7w3cVSP!C@n&!<(Md0vM##`#NOI@sl0>h3=3z^o zL9KB{tS&IU{{TCgABO!SbkTIV+V{lxW;cGa6@?xeJs5&vlG0QQ9{Nic$$_&f^MjRU zW^7MUAz|GK?4Iop$jc zwgcq_W4S2#HHZv(?Rd59s?JsYup@kEvV`=wOoMDud^9LR{9%eGkfnaS7JO&1tdU?S zzMx-uYgQxE$ZMGpOixswVfN*{Ebw~}epua;5c?{4{1$M0yz+({)q3)?ZZwakJUV}QDt`q zx{vHJE+#OfRKD}`afXC;miWU5%)}M`xQ*~fq_k8~K@9H|Op2z!`N7ruf+(IP9)7wp z?EzZW06|IoffU!4+p8S;aUU~aP1VV@#0oV;1^-TuURcN^*OACft5rMcOQBwid(oWtsD;&j$bn*)Yl>H2rb=vRielG*VAPd8t=Z!KC3=63IE$3XF7M0o-&NLj;~f|Z%T;pMpu+xpNGAqwYyyFu zv`qaINVu~+pPL~f`?cm)2=}l5y_68B5o7A>>xCGB;OU;JDb!Fy^5CU!?|@Sip!Cdp zeUgrD)gR5M5OTWErNnVA=$fkNgBUY|^+*3ejG(Bf&bWiawEv6@07JVa^R>|;St}S| zY#5A8xj?n-H|t~l#h>1an5Y4TB34fMMlXF#iwm1GQ-X8e#p>ZW(!3~*6(M#U^1!b` zjD;2S*YlT0xF7MAo^gWSUJ(-C)x}J>+5}dK#M`ip-p(H*Fq_BQXmO+Y*p))1Ys-S zpmk(-<8x1KcSI3FUXmpTffB(=^G+YJj$D{-w?r3CbrTu{j%16yDhgPp8-)8mEr4uq zVYl;~Us0}m10$X5`M*L~V-NQ;S1PhvJdU&)%*yoJb8cn!f=Gk-8kHuesx}lO?9Zj7 z?fZO4hCklblRw}_QFn03lOjrlp)4Yvi=LThL0-2+BPaRu)YrqZodiFq2?jmzEB3_% zVmQ8{stGKJu5-kxD4x*8th%=fC@$WZxPwIPC?~gAe?O;cAl6TLxay+1n2FO+yK1(8deZ{+~mb^C!%E{YiE{ z9Z?5?iJh1)HGsE@)FPBOPfjo}=E&{exNB(v#Fm&;q~sZd(Tu4a0#vtmo;PjBzu z-kW;Zj0U<6{&^L)Dm`%_F#QMAm}o|OgWxjq@(#yRm;h4`!|Q%WVxLXANJ>;vL614d zm)~*8iQwbja7$u#Batz)PIcyo5`z)X{EAi2&VaPL3VpAfvNY>9^{4D8z9R*lltd$qK9vA3MwT zH77(|x%d{*(nix7ik+se-oAaVaX$JRm=#IXA$WJ@Sd~0l(t-!y56@umu!l?sSaQLf>t1G|yj*WAM##SN`HeX`;6gTZTrsXf*pA3E z>9GHYfQiz&px7FVE3{{7!tM*?RlBfhdQiugQ#A zT|7NaC~O?XR?u%H#~^B5s8gxr4_3)ExN`{D^f;=!q(xhE>gzh*Es^(`?t&;7|cfV2ELzL(c=RKq-HMPK*`hFJ_AMxx^pQoRV{YLGjX_f3RczNQLUj=yH{r z&y=&RJlmLkYb`W#@K}b#O35NnYHRWnPU>U@>SD2*?t^t0XsFA{P5S2Blk_7??g#Cr z7KFp*jKn#FMTgJyiG5Mx*9Xt0xV$Go&cqlGyK79c?XO>RI}_W-LbMg~3_$c4kW@66 z@>cB*G8*^{QPeRY>;vvYT=NVW@RLsjY{~Bw2jhS=+q$lrbG0a zmJ4hAsay_JXgZnnM$9-x=&dTE`F%pKvC2@lDsuS41Jr2$UK!*+8THVK%YfMcKg@CB z(O5KEA=~0)Vuf!A>I3!@!mde512JlcjLiC)yMLW;nR9gub-yI4@6em=D2HH86L;@h zb1UvX?aF|hUdZ2b!wd<$)d=%&D56a;$Is~OUZVyUkoAcD!+{~a{+I_2OBKJtsh?78 zp)SJ-G5fNrps)B7<{-P}dLdZ}D6!f|F34<#N{!u*c*}xT-eJz2>|Su{V}lHm<~1IUD2S6e=-4rs8@-Jo&Y5-hK|bJw3Cx*JU3oib&$FP0TtF z=8u)p1$@Lwp9gZq=8GO}a7f+nV6ZuCB+{$1B3p>VMTbkyJAEcWZf*9~`3eqC5G^@d z@KCF&fmi&DT9b3~1Q*deZmb#lPmszdOI%aV$X{O}7Z(XMspx6~_?~Zn9P~vl zH3O{?^HVp?dDLl*OUqaI+S?d-UKPCxWd2MzkgJzIRSZStq|Xo@2kJ|s{LP2^>bdo1 z1s-XI5kEkGsHOh>nNdD6H_t(+g9P}7Q!*_3&W5t=YVt2sl1FWh(HNKSaXv$(>F+-0 z47`*jt(JL8dFlHjY8hWD1^%wcG41h^3dk=aX>C~jT0Sb23#WvEG^>;%72vp!IA`z` zp^m0h(Cz1vR_(<=BP~+tLTkAl4DhavZ&klG_VRiu?HdNXjetbj=0U*PIjnY7XxOUh zC8CyyeaEkV0XesVxQJ+KmaM9grxUf-E|1Jk)#(>#)?nNkiz$TYd1=;!Q9a)Z50sii z4raIR;wM;#DA9Dy;_B2h;$VaZBNX;Z8nwh@7QrGAAV%QhC+e-*iL}>;m5CGjr4^^8in zzD{X$PY$>ukhMr0-IiZ*gfosD4+I5?CG@{6lzGSLRJDtYD1cyobKlcflSe#H5}=B# z2!0W{kvqoCoB;}*`SApRx|o4vG%$auG92YKLfc$I(6YV+J4*J-HtaTOT{J(O9o|N# z=o%Si7JQ+`HszGiZUMREJfDTG7W-s9BB? z%@&~DC1c;wqX^!LFy?&Q%8B~Ki$mP*OSXvQ`LNfkGsLoayj!uysdmGQN4HJ|k#)~g zLuO<}IB#^2DwUzzOh_WEw_?(@VD@-rJ{(1ySL1WBw2DD>K_?9p>)V?1dFZ`3zBT7$ zR|8NQ0lGI}rw59apiQEPq)bgq)6&&7_4CVh;rGRh^BM>jP||LZMMH*QsW7&t?E*Y^ zs203jbLmOU+P)e0TPH56?kQx+M8UDcVcu44JMd^0khC6&_oKW3p@fHD3PFULFEj&C z60%>8BpHWNVKD{HR{U)d9L z6gtJZ>6aL%-_djPto|uGyFa7sE4#PRUYD}~FqY!t1hn1ZAFftHJC0~{#}K^=3bjtFj74!6rM9}~@!M&?`V&#aE5!S}&hQZ; zISota(qYgLC7!l*_J|^TTD5_^5J4H3BkiBdP`0=kTs4$ETA_~APOYI}=wBI?ofZj1 zx!z7UCBcN8y_9oj0DF{7!7{AxwB4vox$~kksz4}e!=RclMX&OCsRU5C03^_Qof6&I zW-~?=;SD=yA?Po~aEVawG$%uZR|{rA zv0<^abmR(>m4Xf$nbuVg6E`52CBiK&#<&mf4xHb9|$sx7julHfd_3NT-ZZ7S%vJt!OA4^L6G> z+&hLn#TWo0tXyVu#>{TbNB@thuMVpE54u)FKsqknA>AO|-7O%cbc1w*bT>$MiIhlp zbLo`sZjhFKKfmXh_nmi!KNy%{xcBaN_v|@mcVT6JhMT5xR$i|EDv6L;ns?izw|(RF zvvJRS@k^_S8nTl!mTm*yw5>CF)8dj@Uj@xp-`IuT0Ya&dnvh*^oMh0Gn$i7_P5-Vf zi}0r!_GJ3=ug|Z}{@`lw+a%1`#wFmE(eNgfQUrhL0T+wxF?%t}>=M3loIn;18}@^R z7ExrWb6m=0M3AA8ofvQ-oC9fGF?I>FjAQkhpPUGZhBQ)TlX=zo!fx<&B>#t1PTYp% zt)vLiflr?aeEMtNn>=-{v6?KZEvCd7j?CA=jdq@*17)O4zZUktWWf2NpLcbGRo9bF zZ@=(aJ&GOxrWs47 z4XvyYm+C{8GK#~&;#8|TmSf&nyvcVD$artKVhU&_WGMbyC?QY*@Y@iC)x+A+qvEJ-kyMV{ z{D(J=*%;wn`q*?)Pk9Rp0E1OgIgc6@bPtB9a3Q>&WOp8=55!#eOwM_f7z&G$Kb5k} z?a)X~h*zkhjK}IUOBZ=L$*T*yjNFiv-{M&m7D?))J8wz!sd}DMMZRo%J)CJE$gvo3 z94s^0g>{*Hur3}TK>f%cOZpa4&KZlQAwzS?k;(l0=u0CuUoh*RgH;5{c%lZZMMx(m z+;l1XNB)MA`J^d@X2TrfD#gAr@^1&u;Xr%Ii>NM?lH&-aqX!@3tH5)LK`X8pGY|&x zGsJ*Te{;Yd3o-w6dh+*bo(;7SdgFJdEOMM46oYpzABG;_$gIeF+o$#cTD>_Fi}Rz- zD+)KUz7{aoCPb07##6U%gtWEyM&d1PIMU#BLX^su%q`2h&eI+ketY$X<%CW;uDuzm zB6CC zhg?SniRp8@_n-9fqzj!n=sx|>w?|(ulu~}VBw{tuO{E9phHfLn)4^gX`8TiK^?7SkY9HENwq2uX zyIAw2$56vE*hRappMENGqRjc7j8DDy%EE}%ASedr(AVup=c@@doc~%98K}gf>}$D2 zxG6T?=Z7`?bSXJl$G>hmItoQYg)Wim!T8SP?=&Pd8zu`2jm#I$7jKU*@f}c#AZOe- zcayuH(nV9E46!h)r^+^@z0L{@h}2l8g3evG-uhP@?2DjF?jJ60&6N-{yrNU!ge6Ew zNHY^irZF!9X+lf!6ajR|QP|Zee9oOD43^cB#3g(RK(_gGu41KO;@>XAMs}%#a zyQF-oa8cdyy^#bo`cZU(0T02Md=mX1J$1>_eEOiq&;OW$rQ8Fz!F@U-Bj?hM;Mb-! zK+z+Mq72|Mnp$|u0umXzo4c&w-#0kp%uYLPlC8d-y32@e8&#d8lKIIQ1XI z1{{TvfVgOO!VU;SHVb^7ge)Kn_9c%|zh?+6Nb999CT=7eSHkSasLPdycmiRm91>$T zg{U{x99~7y>*CP8pbpP-8QLL#0yRIVnyoI0NHP%M&HNQ1$}Vl-hOmhse&`-Qu2C$} zr7#@}24r88lQJUk#nXE!vv(6RmJ}bM1#;Y;x*-9Hj9k@`Xadt1q zU5*kqNyB`{Y3CEHdcY|3mh4O&a@D(>5R`9j6F5By3fK~YHF~@%bQGo+PIT`@-D^VU z!!SNekhGS>VZ5@jv)knHB2{wHr-?D}i<?A!8nQ)o<8zj?Id*&gkE$sQ_Ul$ARB)X@U}3YX?%Y%~gipfgSq+Bz0Udo;X!+ z_KDf4bcmRVBuI2%y!`=niQ&UVGLh1(p;uA=VUbJr6TC7T*Y)6mvMQd#PM{=nTids@ zw>+ORwv>r>J0Gv!sPE68HiT;kFxtIRD2ix|AKw{+L&{Pd(nKwSpy8U8>hNmbyP%pw zOCR(#SNOE}bU~WuzIYW(3g6=EEY1mSrF$(d4hE)5XoT?Kr;PW-C@V7lJpHGUc?e1l z4*gXzgcGN3IMkds7vgr277jI7+DYzkCtgDth<+cO)K|k$uBW|qx8{BSU6x;KwPPsf zx$E=gMNV7D(kUgUXl2qybyd!;e8&x5$!G7dA%(jbk|UOcj}0Mo*M<&n0KE_ZC}gK2 zMwbQv&&4{Yjit}?D4mUHG z<@&4Z3--cyr4hOnIvJP3Exn6k`8Zhu+B^T$r3aFQcy~;D!&vx;=X$OKdjIm7uAHaN z)*qqhD!<~SoBSY)*Vpq;TTzYz8>^pfcb#Paj{L5+?aT|L4M}5-^+xD&S(xV9?V!m` zbJpIahpVe=NH7}R`}VW5g?<-(GczeVWXg7T32r?9Q%ABandc{-ZD)s=gtR;hYShik zCRrgHMs>92KW(T6`_tj~c3?rbXBz2DT>zAHr0`e2jC)5;)H`YRV=uA#D^ z4iIdO?19!OtJcneRln#jb$ls><7w}QZr8acD2r=N!(kVd((mu6jLv{Ubh1y(mu#|n83sWAl zWcrrzMoQleo-b3yn5ooV5RJvC*Ik+*6Ba=}GK}kVjHT;BQ3QcI*>~Sq_6>`YfHq_> zNP`leeC#%35+ zI2^-4VQy;?nLwjeG{``}ga5~F9)+y(QVqP{GfbwK zSx+IrFT{e#GpCcc>!N*Zw}g~@ zmBC(d1UM3ch~hN>Fc}qT3ew16D?0n8oDrqc3!2`=>`?Kmosj=s?v z&$}PpXpC#xTE!a{3hE8^j>~ZW3X(!hhVevVU~;FyDEMG}ju4U1@d9CLOMJwo49e_YOd^H`u&r(K>&4{WAXYh|Afa zE7A3=X66?Md(kHBjjuTOPx@ua?^&eqAxf7QbWx2>gYxklL}QS>Uv<`zknd)H#dfG( z9xr0|LxfI##WH`eSy4cIA1{W5sYnN5Yl*gELkyQ7!>g$Qwp#N-ZMTe|z!};{F z1l=u_VzI%oi=D%FI=->#fCAR_F7-}Y0DHSW>Rm4~S7eQ~4`n)&_iaMUqQ*bEzwE?* zYHR%d7?YbS$lEh$4j|(ogWny;_wfofym8|aTSh3A@b`kInayt96pu&ilCyb$ejGZ$ z2+Ku*8%y5NB5OW2S%lG8l}$DH(POE&Tj2m3x4~vKl6>Kb^<04!dC#H}(%hv3Bi0-e zt*N@j8%gPk8Dqwjd>uS&JZS;EC`6*$up>p`DlMz!im+L*)f=oTS~#wQ*V3N@Te=NB zJkrPz!t%r9ip20j{(n-Hg{t|F`w!M0-MZnV3dZ6;s&bPEo;>M;S3(SHYBHR3?qh#8S#sO2NsYU2sSG3O%@v!H4_5yCozNyJT+Q{8ortnX8Q z=m0p0Xe`R9nFo5Xxvc+0loVlqasY0~r_Ay`9NtM}v8B%6=rFUq^d0e7W{^Hk4*%iS zNv-#Xus%$@CV5$;#0%WX-PJs*#O6tg@PEY$msrpOD2r5iEzn1*;Zqez&=>Ez{Lt}` zn;k{-Y>oq#l;HD3JsbN8RDHho;gF@yID#kI&LlqC;JEM(sX|D-8LQ#mWRVoh#i!#F z^q&ZMWCibYc2bii5eB6?{FxMEcB#{zc&Ax}nB+=*kOW>K_^U3I?;VKWsg@?YrO>jB2r_zwm$nMEnrQX41dyOsl1$*k6o@i17o9`+CFAg zaTt_BXsSe)hYMvq^`b+IURe{IvUPEWHIp057dWv*_m2@{rPW0JrYLhrA@Nnkl@3;R z0kJsTKR$T5s}3x?$4f!`ki>vGJTByne)5`DDi-f`0Sr{oSa^E;sA(FbqDU=#W@g5a zaD@50DH}JpbcJStK^2YK^?%pJc4Ha_qwpN6coXoYDgOOvQlLD2&AI_`ujL7?IC)Va zl*0IKw%&{3!6BJTabZTlf;wpu#QfeDVua{lfFDFbQS?cpTtGQF*0HXk4_bk(lO4I0 z>h92)nhYpg$i&S<(iA?);LGD=c200D`qLdXesl0%U#Y2s6qlgy?KWuA2%xgwtf3A z)gDR@_ZmheI;Hv@B1}uuoGor^rx1*5?RivH52(4B@3&l9SjHGHJe@5}ion@f!_}Lq zaV1h^$Jn6=x4l?Si zxa5cb-1yLk0+x#wI-&x-Bx|uu;E1aQ)a=c}1?-=5bc-*?7@KFVRM-!>QHLAB&UPCg?-Qj!~7TDMj*Zk7osiNu->9hbN(mD zE;l*3XNPX_SfooqBtfssm$iEiCG9X~Vgs}k8Ui^_Cb2oQdKZe1Gu`dyPi--S8u2xw zAAg4glGm9SmFD6*AB2$n=v60wuh{xOZ2o`}+wS%c)Mtgow?bAGf4z5rnQm*WK7aYb8#UHx=c(+^?BO;8FQE98DhlqPoJMJmb0 zu&4E@<@exSj(*{stLz>lZ^ys?>jhAQ^$p8X^7fp%gUIh`mXhEZJ2^xm*<c_|QQ z;VC&T+vRAzT$nrSGN&041aAhWj5}T*W5)VDaXwXs{-Nr#@?GnN#cqAq1tnuZ_#{#K z>d{Tb;mye2>0#luhT-?SWrzX9$jURnv+-?uoJKiO)`aQEQ1u2^s%r#oF8);r!{6pO zJTb~BV??uvttPskn%_$`!ogRPAx0kt)JeUy*~QMez;hC*?~eF1CI779F&B= z_kPDEeTnJ!n?$Hmn>bNl6zR|3b*+I(0o>0wD;Wk$Dod@S!&Hhm7?{zQt;5EL9*9QB z*bKgpGyu2W*|(48sn>|V8M-%1{O{$F!5*}VcTDd^cX*_v-Okbb-Jbd; z2YzMYi&Aag0G@p8t4Wy=5hijBm`yyu(up6i4Y|g!F$~+7A-{)&a%}NTt(Pp}mclcK z6}mgJbC1qZlQvoJc?+t^Df!&NRy|#3NEk}+rBFl|rRyqA1#>F(OLd&yw#+#;fhT}4 zGULAtWz#HC99O({vSmV)SsQ%@2QWPQofXM2oBQ6w8HbN|MD@Yc-KXtz$i(vrE|3m0E?^Z`!Gg?4Ub4!hX>_Y7m-)-Y~l|D1+ZK!T8g?dQP(p zyHW4>uvtOi-8;!heXI%1D&Z)%Cjnsa@!ksG($iboxHweGpM66u&ztSFPnN9805sc7 zRsSuL>YRhU=;ed3S!ce{QuUIM;^N99qx4-|oeB(S1X;wy2i}CK=*IWyaXmlgm5rG7 zH;lYMuaN36#CTJmriA@&^P4Z;7n$gvSFAD}fXLb7@3dp%lX7*IqyFuI(w zpuOBbrcIlGy+|8{aQ`|>3YW&V;2>dCUiWdEWi6K{d#}XriCRsrI9BPe^~=HBK=N-r z_apYFO6dI6hZ%p%4DYMN8a+>Q|3jO%DtOytQpGw7m$9n_(dZW={zRzpFG1K%xz787f-$@#4` zH=V)UMZz>OfoKXK@O9Noz(C8r>MO+lEFx@vw+zb08WTjz?3Yn>Uf5He#ydRV+?fj`$w)h z)NH0<8EAL}Ub4a7@)7Ppa!qeFg}TD!HaF=Chr^1_s-byZJyc>&?o(39koV)FBxE+PnXh>j|f#m zh%kc_j^Ifuy*PQJtai%}>mUJ<&SWNT-D+oSFa|q+{`=2JJAC6$k_ptXMzS+E=C?u@ z8k;2r!V0e*gurh|$UiVHNld>l%?zAF3j-%*VT+CP!tVak?9nP?(`jBXX6e6AcH_C6 zQ5SePp?UWdck6qF(RU8hPln%JtH`OpRrP$n_8-1HPLd^pYM@4)12}Z7n!@N^tFRv` zF0TF!7`8HBdel>d-?0$-m8ktjMc2z8(QOloMJd^4a7tM9XL4vjkVc_ z@sXyQP$7R-ESoUHykHH8zNu=^S))hV?eL2YFTU5We-TB7=J0oc1_Vp`JbS;tv;fP7 z(FQalP29{VG!+I_%JrFe5mJT<^_g96J_H#|p0+8a1zQ@ZNo-7S){q(>pDA80a(rXY z9vfc16~$@|XkGNoEYB*1_L~LXn?-u_@-uq>^U0Ze+0kwNw=|wWN~o~8MbN334c1aa zFtKgPx1Wr?1!tDiy(pd44TIe&tEu-IDb|uPHbq)X8 zyDm`fSm#t|xwMVa#e3i%8rolk(u~rf2A)ATN*UE@?Ea)`YZeo>SMxfn#nbxAK`%kP_(;IAE^5q z(APDk)&6PKu?6@V$3%3aV3MiNDcOTakataK!kkMmgpLzf92^7x9k@=ESd{Rl<9F=s zadPSJ-mTGM!I7&aiWf<`xFVC20lryC&uC`~PD~VC>IaWh19EwiWXCj(*3gul^N*?z z6UbRZ&S}TmTz3jO%)*ZaIVx#%iA<)z+28Z$;8x)92*oo?s0?>5{P9)KROnVw`|5f{ zhgYn5$J6%L@}##p0j>mayyl+<(q-yKT0UB)o=8Km%;t4iJtBex^%OJB|Mbbr>0`mIWkKC%^E& zZ!<_o2y}lvNetFX^v?`S6p)8S=H72zPCHxKBF+fF@0!QGfx1j{l`5q0ywu3IK0Vzw z-fv)Pnk6P*9y#j@B8!(a&2&2>>nzz)$3`WNl?>pp?|<*=hL04uXDD%v#k6~9TJ}RT z+fwqkpZ92vhwqeg3q{Ld0F1@a6Ws6$u^6_owX94zlM86!;_#A%KBtu!?Sa{>#;FA= z6%6QaEJy`#^Gv*ZFuC%|(Qq<;P$B9g@;XLed%>+*zitJ%yg*RHW?4o-B6iz5SSCpn z7(!WI?v6|@EOEvweziCDO)Z!{`m)Q~oz=1(OJK*dm=8jx3NPvEHC?qo&zsyxINGK( zOY}8p?`j;jGdLrW1MOk`OK}7tb#WhXeN7;G0wvwiKD5r)X(C%Ach_yAsNbw3SS)_> zc@f|gSD4Yd4rpOX3^3ode z1EFna08>xC=^)p8l_bgdKaPX?r;c0-i-R019K>ZU4A6|}@G9ZfnTD3)GA~cD+rrB? zaMK@emz~B1U3z%OJ)XyVSYnpNyMLvg**F%}gu}+*77u940%r?RX@(i{itNa(9ts!o zVD{FuzyoyL>E7IY-$g(JZ|bbM(I+REBT|7hTS7*(J%KV!{ap2M5=NIQgTVR zoIPCQ_b3obx-j0|63LjUZ+6g)Xw~w)@#E1K9Y?YV6M6gy%C}rN+@hFFGw8To3^l#= zJC;y;t#%j_b+u^VsIPA&V7p0Uo6v~ z3AlZ?YZ+h8xYW=h2#ObjDYc1M{u(nH%*5R48{YjjW`eYM?Z8-@ddDcF3@*~Opl4Ps z`OqqBM*av;>7CBVKN&ut2iUNQS7sJ{vfXMC8ng*;sv3(|;4eh7ydlcSZ(eMyH~ft( zm#YzmK8O13To56K=k|hleL@!0s1$_Wyd#FtpC~DX<cyO*JZ}7+ z@jlC%LOOyG(^xBB+$c^gb~{K^!l`U4}-FxZB&fup{Wp`ka1a&L6gk$KZZNrwHG@!%be%Wn=_TU{_%E*j>Tc@lEgW$ZSw z?oKZSbKJlIy2qAC=X8CXF=nvxw29teH}o>dw{uqwyWuFF!PG&GOBFAEtcVtMPdjHV zcV&Od*7>U!$y24gQ%zqVH;bxn>7&V3Z*c*o;#k@-l2tQ= z2t?D;)Vxp2X@q*h6;>HTR}-E15G<#XuZ)RUUQmynWtg7eD-;Upmc4w6zUl+zJvV)Y z5%YNM^+x&D&->@SS_0FZy@4`?h`=2b+eQXXA$#akj2-PYU$3uTlPW zg4UUTZKA$B(u;9FXercXrj~6IXbWXbU2w!qo1>O)S(&hCb|y|5YpscK#;PXD z>*->)=k>~`tXr-Y1^;8UP&6Quw%6C5N%>3Q-MJQ_1NzRBYmOMNbjj*YH(^TCS(lb#za<*eMkp zV+aGKU&97q6u*)&!?IzX-FLf3C=Je?i2d8l94>)Vb%qg4zT!$c%=rt8%YQF%jAlW5 zzT3$Mb-4=anompd7sm5Mh{f;BrT->cEsdo6#IsR9HniQrXbycznJ}>wv&v4NAS|nx zla&pOQWjcrB$G5-4%n<5T`c$GJ8DLB-^{E3pir8@{T1BxyewUn_L$pxUZ7rXu$s%M z1ER+WFTt67bk-<&;~>u#H!YC!J*_DF2|6tKQw%iO4TtA)>du-$J;K)MZK(~+8q!yN zQlRZ^b2w)R=F3c;U4dvUHqA}ymgUj&F!zsN7|JCdy7flCzdXC(k5nKgDBw}cU78@T zkR}mypS%4yf}8k+jWQoRH+gzx}_1DT&?AJm#4u8Un6x7zM*;gR-wW)|fl4J##chxRnA zv^q1WX<`wq8sM$4Izs7I2~8jEXpwPgQmQ(kP!!z{^}cSXedTdl7uou->5(Y`GcD9R zd!)tla!*I{P}BpV@q2CP%_TJ^2bN|!rv;Bui!0&CA12O#90!s?@g`iSV}l&am20a( z5IQnH?=F7^5tG7dodb5m-tX$hzOpsH#GxzJVpB|Tp;ij52sXqL-EPl0wR_X|dK-m_ z9;WL_AiPQcEMu%>|IdMx5p|Yw$LBhE1=2JT zf`kdA15Q47L9~Xm>gqIBuNUXQ7{Gfc@sNb*OvMwwz^4gXPLptMBb9* zVJDRL>kG-$U85xP?rF8XcUb9$Kv^A5v=S*DY_b@2rA2gj)0_VyZub)X-h<{YQ235b zaBl6ItD$=EK4V->@P$79jDjh2${)To(;be+k4d!yL}J6s-0i=zmvd4>X!s->X~LTY zHq4Md{^<9!4~hzgU#Wx#^N#14ltmWXz0@-r>E63kIcdSh)ZL*NylgC8@iUj?2+J48 zjoK9CHxCuTgF7CCESh;-B{;{gY+BX1QELP&q zjV5+$6UaZe!A>B6nA=@~ukRE?N`{>?h(Wc?rI0kFl6EN)8sMZ2V^=P7ZJmHHV6*`gkQW1|TaBJ6= zA9Xn!78$d34c)B}$YJmDh}1)=L6-qiW)8l?o6hgl%F#r-3dZ5U2TDP4;hJ6&ipG&n zzk1P5Xy-J?#x0-zFWzpeY1;U!A)e!*xp||br+>d$a$+Pqst6Ph*NbV#$`CTwL6`x+W|E;G7{oD zU-&#y5(16_e{S=JV`)6kEn$0MPU(1I3GYU)w_S@r`+avBsWIL*ay;jo@pu*Ab&*Z_ zw`Y#!?`UG^+2Re-k87hR7wncC7HETvto33%_~rW zO|de`G_N*DErQ$Enc%HVPv_a)l^1idWx`m=-=}YyZHnv}FchuX(zX?%>+lHVfJ5oL zJojQA^o~$qR$PY%)x`Jn=jaR1XOZJDieM4LMVt`ZiAp!#n_hG^1e~#oxDjeLCMVtH ziCSyh|1grL2QeM&t&orN*MJL4XcAoL#TL;(H0DnPb-af66NSixEX{Y}t1AQR+D*0n zr8%v`6B6MX%zcMNAH3)G`a0aPle%3Qe_FddwoBX5%D2qU<_E*5rz(6kzKk@qL~^Y< zN+29ETB4Q{ZJ6mhyOYS1U6&5>Z$GT00GsirSlJW;T`NYbp=j&3;=8Nq(uktPsU*kh zMUd-jxH2s+o~Q0l8h8%tT|V0(LQj;6uio|Swoj3qGL4~^?$^JJ(M{)_+*YsEco$MY zzN`fI7dutyZ4VtthERvF+9rC(GGI1hNPb8I`;a+q@aA4aI3H zWD34fW`j9#$#qF`#9$4Wv|m8k@8KLssS|9|w^r9Lb@-R}r2SpgsV3aefd4C?IZaMS zJ&uEdIZ;4y&3>s#0Rc&Vv*vbNrY_8Q!4>?gOrcON(~1#YVk3rcqkfIXnwoae?OE>f zPHS%=ivc2C`gNh?i2Acpi``R7wg#hguT|4x+s`g?alduTHwR3aTN zg#27TM}pcPlE4~eF~{#NNSf4r?XB@6PR)o)QD6@0%7~bp+0M7NKQ(XTa5WkDXO57H z<6ZfQh)faW(i{gU>6LT#GB_;d)dCIugZ6@*16O~E*UU+AL*hs+3Qg?Ig7#*|6WFte z*HS(<^w@a*gWK5J>c8~{5nRHlDI&LGFlDvf@r5`qSUuXb(Czl- zX00O>Bx{XAxJ^sEpiDoP7!ad0rdT25xND8Q$cVqsDqTkqyF?Pv=RDEBtd%dZQ{3&-S!A58vuNy{H zNW22|pb2}B;Q+XCJUl#1#OE9arV@0AU)J|Z4j#D8?8`gu%3bZ2189*y`5i$O1h2EY z&c>MRP+=~F-U;ouhu?XBkqd-|pj|BA<1hM>LRlSp&{YJ~R)sC}niBuaWl&Ac*&Gf= z1zO_&^NF26JHIE%BW3k52{7<#VUvqj4Dzlxr1D@Daq<4g7 zx^ZwR|MS16n8=8H(bO_S0vsg7AI`*c^>w$L1KZ{G7 zGk1qiKG*(G#dX;_HtsIx>#80fQ5*Mti27Y%94*4T$GCGJO7P@NH9@B0t`>a~ z(qMHNJ`m_KUG(sRYAe3=UamkAU_2#ZzYyv6>viHadp5Ql?xdFx9PaJ?u`@bKe>EX@ z7W8ncsZ0^NV8_qjEbt9mxe<6nFIdE0O1=n3uvSL@Wtf3K<4v;q=0f@dZpiCx{s*{^ zZiq=lQaorU=zK|tWIEE4&2@_4!t;ebzR$-EoS~<@?44xEAWmlvy~YSc=DcI+xLJSx zcH++_|AnpimIsOXcy{0Ka$-B!Y0g2jn!u&AracmyrS_eRL6Zaq!U}!T63^$EF6|*j zRg4*@s#A2HLi9{NVR*Z}$`+dcjaOCI-`=*zu<|QRU>{3)nhAw|v$bLTfmnoQg(7PYZw+r!8p8# z!%gMd4OD_8HD?0-d{zn-q3>DbX^QA@M-MRJ3SYW}iyuo0@wMb z3V4cHS&0)(hVrKO*?hl7O>vxH(1!qYXNQLE(kTq@Xrk360`53RtapU7_h0{$Yix{cd=2h@>cPg(Y|$lE=_aDd&3?TtmL$fE)wNHGeVq>M)G2Y^(!Sb{?RhWn5F550W4}GoLh=Qj z(n(9_12_E}qMSSd)#jUjF!_IdV9&>S#1KL<8EGOo1XLD#Bs}*k!w6p~O&M;k<6XO~ zcvBWp#k;D+`;Mb2Cx<_N11)sFRHE;kjm`m^+F%TDD|k zV{3>-Oc4pw-8Du?3;2Qhvyy|mSFt;`=c6DJ!zDU%-s+`CZm>V+ReK~3_XT&k*Z|Rb z?)`ZF;tPxOGkUja*rJZWJ7yT_AFpO!{7D>|#D9FjNQ#VW`J9B&4I3}<*8FUqtG5?5 zCN;Jb>{=S!u6Wa&Fh~W4#-d_kRvqs=+hS}_pGE1I_Ua{2El(c*YKSzYLVqj#oT0DN zi5?u34MKNY7CZ+5rZ57PwX7WwR3_TY+8ZZFc_%huc~e?7Gw*bUJaf&5bjFNj`x)f} z@*5h%=~5R_e?!D>6-)U>^6-E#*04CUAWM9Sy!^FErz>F9h=Z||gN2#qeD^34OU{Ey zv!g;V$o9LW+qmNqy#`wRHQ~N3eXPj+_)MS|!0pGAjywE<2dQ6KSu{6>c&bEA=ijJz zw~P<}!q(NnA(?+?WyD%yThLkTcJaB%O5J!oN{I{k(?qZK1rKhD6RtZk4(2^%YNE=Y z72#a~`Y<|zIHshWc^$1}$I{%e^cMmcQ~GYQ?pg(X(@Y1vYu_c1XpQ63!y@!{KL#A_5Zl(&BZlGvR@$>W+25gVtxvZFExx2aEznzy~YUX zkJQnALyZ>2QSTNs1V2Nt&6N!JUTlzi0NI@WH~mbf`J&C6O|t z2Lwl_n~#)v=-p(;Grqyv^!F3J1c|BQPuAo`xzo$OOo-@HA`;|sv_S!7sE*TdRP67N zrzK=8?CMw*!a1qz#>El+4e{}c1Hrwq@+g2Daczve$-u4(|`w0v9Sl`6>9*T0D)Cu+w7ydzI=6;`2(R#{^2rCTQZPAu~B z=MK?gq!ov$zWSg?l)V+BS4$0%t5-XxyYw!SHtMf8X;SZRCS>*ak^N2?nk*3l zIKNv`zr;tC(-2#1v0t~V_@EK7wBe#d-cyy^>jnUo$m42VL?p6_gGV+L>bGN9|J_w8%?TiceitEkT=9SISuDa?Wkm*#pj7a8PINL9*rFq@ekjx|Zcf?@|4S<^ zhzY;@Lq_EKkDS5<%g+DE8j*jZQMpDC{(5p! zg7;mF6=?+c9>IgA_p7q-+R=m}{p)7gJ_&>-A2}@j7X1%b9x*bjf1WU$9(rMiS07CwAse0V9m;l4dcM4T4RQOP;l44ZnmiP4{v+Efjkd9=lN=>*==}5idCQ=Y z71Te{GW}n>a@h<;#^|c*ZSVE?2Lu?M3Y=@tELLPToH$I^gDJ(#RpBQT`^w0XiB=)N% zLF8!>$p}^iHe~(x)(h0%P2=gQ=#rdFE$mr8D~<>^3u5P%e)eUYM+yNY#uqqIO#=sz|lkmyKg~gEcTUj^IN~%K(cYZX_d% zcZjuMLM`jS2oSz3E(cJB8KHj+>$C!;nDpOS(=f5$AqUHS-_*`l5R$hpYb)z~%{PA$ zZ@)4w?{`N~^$3neqzftxZ}+Ceu(`NDR-V+bu!k6`q|vLVO>t~nYjM#<Xvq&#&R&?;BHHVnn3MyM$v_kO{ zKK~nH3dY6yiNFe4$cUKs+l}0OW{F|+N}EVrnD=sDq5@e}?tYm z9z@?wF(ff`b#>jdp?Tt=JT8YC%e9zJ&_PsFwn8d(nVP+S$W<>VOL)apx(YQ-+LY>Y zSg_=6uB4U-$UVJsI*nOEh@uob6Sl4{==)N{G)`}RB(Vg5{P!zQ>)-vLBjHQS0-?s1xAflp%?g<)oKJYV$zna zy}kabIIH>;$%scV~c z9UhUP?Y^HG^ZR?fUj;GdMmcCSR$HqStHq<@)R9i&6YNqAHK?j;nLFvl@}jP$KQ}le znqlntxAwi2oe|gV?e&sU7t89(OW%)AhyC&D58qXXa^XF~5uTCO+(4*!D!fWptV%r0 zi=xP3Jhq1mY{}bIr!T^90MpS5fL<(Nu&f3I}pynxi%TP z^VSt*J%Mp?IoVPT&$XSJ1;%=E_b>F3w#)y1k0_IF{I!1++9`-7uYe_s(+s$ngz`KR zb}0Ma55(*ct2;Ui2+zlWgIPKivtPIxrVm(!g~#1G9`p@-?@TqdwCwK%guwESaN3B} zoE&L6S@yJER^%0dFL>JDpI-?%?M7wekDIY6Vv+aeTK4^B9LpAbsJ7D@!A&vY>srO) zC}*+BuU|sm9cSFS_EuN|OglL&2unmrh%K@s274c8cv4`Zk{SUME2k#K=dr^Pl%?%q zzZXj-0iP%%UU`awGD20vrD~bI#BDizdi92OHP7>C`BxBWM5^g`0HSaw^|8L+`<&H6 z*h0I@2kIthBWL%xt1)p#tunyzb%Y>Pyb3o~Cc&Q&NyOprfgwqHbb+S2z!EZK{5GUN z0ysy|L1ONk^F5L$^4)&5AeL@I?LT*mj+t4jXi24PMk^1J%`Kb=L^AVv0UuC_cX^CT zLtVcW<&58g4nZDQ^K3Ia;&rM3j}*m;3TO`BGlINUZeSpujv1Uky>A;!6MS!HbFXMp&+W+MuK$=w^p(<@wHNOXIe)ya%pkYH5-&sV%d*IppDKIRsC)y?PEcqp7sZ`!Q|hC?C<(-SMEQwezglW+L4O%s82HWu#0{u zXgpZAqbS;bu38@Mc*%L8yq=*32zy@V=Rx`xx_wT59=g!(uc+8!Rb_Xj@Nra~ceIFdZAqTs9yXmQ1)l9+k z@rjM{0=2$Ojk9l>;H|>i;0o3yNoHZs)93aSVIT=o&f6*eteBGxjUc$Tom0l7`AGIx zY`MM6`g2=cC)(A_*il?aZ!N%E4q=IFJYDyjIJ%J^LBa$$eS{>-Xm=kXhH$gO?KQld z+%E-|67)0UDl04*85<_%Rgarjd{r395(|T+^2NX&5&w%yuP0uTq=i1)Lk4x_DF|Xi z9<ki_s-mzdj`kjnFAx|-FJ7N zXP@28`V3Eq1-3}6G^S=`ta3|kJtZOBk#o{Mm-(KkOGO3w@2pp)5|lKY5owODmY_2icqF&#a%LlEk!|Zs*dV8S{UDBlU#cP@$do)07zH|blIO3`w{g)FJ3DH-De2=3f z#K`H*2I#Ph(f(X08Rh}(5Fop=(Gq09xsHMlvA}x!)ti58$|D@0ZES?WyPmEGz4p$@ zVFkjfee65R@Pdi69gLxDk&8}h7}Y;0VHMF?9ae8;<25O01V2b|QMgWtl3X?quC6)6XXvNyy

    p`&{)r8ozVT4c zTC{hfGxo}9kFUQOi5o&&^D^K3-SeB3p%BBpgp=EnelC$n4S}BTX3?aVJ#XRo{71yT z;|vFKTtF6amBUZ2i%{;B{279G$%^2ROHl~3A4gFz z!Q9IFpbh(I>l_?nsXvvJWBd^I>o7cj?ajNKf4D(ru+d&xM&{!q&0otgBh-~~+3c4K zy`g)f=LZ}g(f+Q9Xs|d9S~lATqDK4t1R_3OyOkn!MiYWT847{Eocqd1WuEOdCn zIs6~fTK#Esmt37U1T8c{nx7QyzKqN!=GQ)MR+(9(Vcrk9`vkP(PSIXTJTKFIct8%cBQ) zGUCYOfmPvo{HAK`Mly|Bg}rs%X;j`XVw}kZoCf0ZfW}OTmcx-MXVc_h895f7t#4fB zDq~T-$D!|ZiQJO)Pi*1-@|;}t#?>RhTzUcC%O|Grl8NRMqLR?3$wvo}&(r9Q&e-3` z?z(BBHy)9q2{|5Nucrw1U91wNN)V0Juu~5#C9}m2(@>}uT-r$As4M5@)y#qaJD8Sp zF2FhvC-i2BuB3|lfa^2K7Z37Ka$#92i#n06kzF-p5^qQHqKfw!trM&tE{VPGPlZQ% z5Ny0B+5hW2rS_Bq zQU`3cyMS)jxHXol>R=OyKuxIATT;SJd73^(w_Erl6$EC zx_A@G_DD-*;srjy-A`;~N*!MvU!3?gG}b&){-LNj&tqG`$(Z@StxC*nZ0Pz_3!mnM zo!eNrI5^00ZH7tlIT!F;4D6bg-V$Ni5Yo&bf{71LSu#yaph4uDj!YX*$R#kG0VQ39 zV{+;V!$5$h4!TV)ar!I;PrcZWCcDXB_X~<8n+5)8f%K%@M3G5h{ zl{ske;^IjUG6~v$uw!*lA!2DiV z7yhg4;Npr;Ts!PRABxv+!vf%ZHi}C!i3j<5hp8hmpR&gfSCPyh*MaK;L6MX$yO6=)iC2A@eS2rYn94EOfxj)VyucO*-=W>PU3G@X?&(vPA)w;7OFa$xrx4%j`$tXwFHn;$aG18nmG z;I0ndLGM&M1bDJd(@CNBJ2;@5k>oYGSliZzsD5^9<_oG;rs`mEVMzFGw-HMaImCbq zMcJFN_RJq-O^U0(Tsfh5wBpd{W8}D%@0Zdh@qPB!@lu_X3YR1I)uT^iVN`zH@iJ9oVY5(rDAP@(M;= z^7Y#?Ag}ScIi60kTyO=@j>eA2dy)_575p)Z_zl%_RJi+Aar^9#S z9j@EB=$S=mBav<@9e=f|W=q`|-X~y47|j`U)JHGeBA79cD10-EA>RWnU!wjU*q4SE zyCjdN>ASrjl4WsK7aQM}E%!RvNn3`3qS9a6hgzEkgVs5&g@&iw* zgbq5zL?%B0<8n~Ch1GEH%_ke1wTCb` z1HUc{kkgbNVUjB3gdnjVRIBgH^*o}>)rNFZ&3OO)XS3OX%kfSJIiIHD;rY} z%EnrC-pb3B&E>5*ya96oz#d8XWAf+kvQC%Yk++gaF$lLWqB##P0;B;HU}Y)>Y`rcE z*q6TRoNC)3;IXbMKfkcR@BWA6#O<>TvLd)kKTFg=eb$r!K2-s}k6l||e+RtcB9MvR zQNdwEQiP^>_OnV@!ZT0Grrs~Umf!1wLWYdr&q7aKtL#e8hqDEzum&1{1t8Q_a4nR! zXdT}MWwFmOlg>MFfs4@tHS}oM!AMn2mmM>U)~e+@sRCR|;C-$QN=`dzQECuzoATko zExPL{J@u{uZ&T3k{jf->^gIJo@aZ)$+8X9~gsv|EseRZW&v9*tKE2;TB4nJk0Q8Q& z*Adc*SNf8fTE^eOClW6YQBaIyM+rpebPJf*OlMdnr0S?qw|Ig1JhC$j)U7?Y&_G0f zq8dU;m`1R*MV#y&S=R6E#m*8R+T}!k`?Mv@_d5Mz2SaIQ@7#!gEk4}2b2uCa5wO$=Ti%(X4d6l7J3;Tdj#pobEGlYZ-MS86QR?Kgc25i zy;*_kWRs>U{IAxBqRGF1d;k0z01?ie1h=8*sRR#C3aLHY&sQmelnQ|W!}W?lrWuxT zrYmONMG4M2m!iEO*(WCc!Iq^0i8ZI4S7rTm7!Lw>eXplFf*1V0cmkAxNfjxE!O0(X zMqL-Djj4NLpmO5)%07rO$Y31!Xh!w2#X5OLhsq!;j72>w29rl8f8C&rS?Qp)T-39; z&X$v%t*UE&{sn0dD##VOP(R_3TDfwaE>&ijO9HRqGfjE^gQ$23U)i>oDT2&6>37`< z(8i*I#vbUl-TC+`k>Ej{#8EI< zIDQ0$1WoHmx2lx~7^J)$#sU9@d||-8r+%}ezd7f~@GxXx=Y91Kqr|F*vCDbw5LorL zaF_p5^|md4xB%{DQ&8tQV&iq~N4M`0y|JW9Bpy-7Oh%+Xe=RpofbRtvG{|59cLY)y zfXOjn!Jt{j#9l5%=692%Mr>FHr$52)G&>%_=BFnjV^h;tK-nXo|IneK_tEk9_futq z5;K1IIvF5HN@`%QSOjrWU@a0CYQEXR54 zKXty*{m@1?J1WqSjHmBe&(-bHr%a-?cn*NXn^^^HrQD}8G4j+kn6VLK+ zC;$OWu|o3w?~lT$-Fv2q>U)D_Dj}3$#fY$~_MJEVg&E-d$^Tft{g;SXT+a{zDvadsL`Ub) zulPsLv$7$mMeW69ZW-!Sx#|{m+A|pD$Gr)(f3^#cJAUXZ<>To4>KD-zLPOyI%3KQ% z8P?pjY#2wmYoz~C&#T=40)&QF2e+-NxoA%@^RGU%={8o8m%T`;ZxO~ydf^PVqvze* zI}NPi=?_jr2Y-iAf;xV5C=SP^^8bc=W+a`8-AabP2FY*sT*>biPaX2F|M80Q=O4^% z*dQP-sDif=OER`>rIs&DPn=gqO1h+D$7dMFi8tO$N+vp!x z6kP}6e}eO-Jca}c>{r98(4$tq=)luQ?WDI=3)GoP==ua&q-4NY)fwN`Et$KxB-ru1 z!+`yVh%R`T$B3F~!ED+Az;rp_J_i~dRb3Vall+Kpio1gLUZl`C%#N|qN ze(?8iMu{+g0u^Swj|3(*4Z1I)pFa}O40&dIKCibk9{v9P2v6jWZH_I}uZG~N{F8gT zhSrl?Q2av&F>yV&;PM%6^de;F&zG|wwqPN3xtXOMQ+xDu+BP?LEzMZ1MMNHrm-)9X z#Q<0$EtrGfbq~dl!$)iAA2r;xj1K5t1<+jJ`&-vCGQBB_E&kzsaWDFQ@n8lkyb+rX z2)i1g=%`HTTOZzdA6%l>3N?K_dO#s3g2Z>Xg|?<-k8*r+h;F&OM2Wn1-XEeP5Uku= z)^k6bU9%y(-wGX>VBY2zkwkdpe|~mSozNZDUZq+rLY0Gu3L%{H>eM3;5gOj?`BLoviW)z?H{!bv0z_|W|r>5u-haVoC zAx9qeXlTl&;SL7}D`91rn7mA?t+F4LqU90uLdRa9m z95=JR8JZ_UDwW;;o>Ouv;XhB3snZ4@s~V8~7M}J@$-lW5l_E~_lnIMZBCjqeJ)!B% zSgvMSO?^FBvrdB*UaeBV%?k1npqud!0tqrGYHpqLfx)lVTp*h@fsv<+&s8m{uCB%i z2_7`9nL?bgr6nXFpnyQr(bGGTgsRI=tP+NZySwv(yE8YZ!F@{}gB>wYZJ+Mk61hLl zxh~vw=#$ZPa27nYS3J+tCZLb5|Na8}!(+GP$sSZj^;-q^bd1~^nww>XIxpMxKQLQ4 zIyz2{$w(b1y0{|=nluzCLE)0|JG;bI`lGa#oKLZd5Uhv0lP2T)o)JYPI};@Nqx|gZ z%6BK-xq}&64tVsE`8?&~zv9SY_Q741m>c1Z<;3KkA5La$DlP;`0gyStI>Z){7Zqt z3CB>8a7c7a)9_Z-re6@C!Qm@cJ0xF4HyVPjefHFKuG=pcO42bEqzFuxWkR^lpH5t>?)Ckt-ATe2i>RsQF+DzQ{;fa!8U_RX zH$rwFuE3SI*ZSqj$CdblpF0^eK9`<7Q~6umQG;LmiFdh26P9t7#a%8r=OnOY7;WUa z=u|b`o@lFee(;0VYO9XoNn*ry@KNyc1SLNB0Ya*J4gxe__PudU3tMK+b?J$X&*u9; zm$ z2t6swg7k-W8VEF?NQ-PPMwzNGV8uPYOGA1V7YV?~Khql73QaR}bJ&erKz&le=I7_< zN)}98E3+m`E`(UpZKu&Kq+p|LC%Gbb*QadEjemBnh$QpTE!sFdy(SROLtS zk=#X{^G+mwt-e#+VP%_c`goE@1)=%Z>$PBP#W(ZHnBH{t`V7(VZ%^4lYcy_?^-m&M z#9N<-%3+abR+`y#xb zd2fN|8u}wVzJ&k740N`Xs8#)}iRW?u;<9z(8Hl-%(CO0w5ntT=*;^vG7)}6#@X$M? zKeXG@<%1|_V|H5wcR4ren)T9_>~S|8x~xz5I4Gmt-rm0&{Px%!B^UAcu7E*cCW#^M zA1q9#I_f79t}N&ZP8d4qO@(SaO73`jTpG!AFb`d?qQ zaF!X3R4dWTs6^{1$&35DZh~-Qmy+~rwy*fWNfB(eaX@- zQ4+G)=F-n-?K?+^{&r|ECdE*hpq;8$=q?!;Y(r?BrgU>m(zN=S##8iacV0Tki{{q}s9ZjBJ^QZ#{ueAaK9kevOHF6#L^H#f)CGI>dyl zj?Pe;$P7~Rc&baNuI^L9i^wN?2>qJ-;n&3LHNm&*72WGHO`G)zcDhB&n-1 zNVyV-CCOD#8I{m%BB>+A3p$NDG>Knr=adFj{FRC2z83IPyeHs3+fYV7k`WgzxKY_l z3wS3pi;9KdOY|DcHamFTj-kZQ&3pFqLL_FvGcqGV!(kqVZWYnv(kLSJmg281d02>W zcmjfkW#}S9bGcFdt3CTR?fnT!8pl<0{VL|rs7j2L#*zI?1x3Xg5V3fQ!9+3pm4aCt z`9jr$W$PAtu@+XZ&!0;cj;^k*Vio8l5r!U+mgc=c6`RkIVikY#a(Mr8d~&j`y7*JAD6Jd|@+d5bwVmz$Tw`Cbpw?V1Xq`Bp;ht)-F~B@E z1aXNe?vr!UjC^WbeqbaS@j92Ydf89RmB>U$uJj5|o(<8{GHfFGM78u((nQLk;TjZY6$h_}ofi*~Y<4YWU(3;8(O@C!FBF1+P@xIhb#nPs z%I3gq`jtjWcW}u4+fIy$qjcAG+&@$q6D6ke6Az)3s}@>Z4zZY+m=0RWT8V&2>kf<| zn&q0R6l6`j7B&(HnH*CkI2S9p>5Hd@_wJ3O`F5MLf7HFb4$xw95! zlj^fvt!-@^Ga!I`#AULqeMwTe*{JQ%w)`j6a~S>ksyOkt3#xP!126KqdIq&SS&(3p zXv^2{cF>|?@-2sg9ftN(gxm+KTrMu(TdsS~Nt5L)u!c`0!u>tG_CKY7Q(}qLaN{L5 zDdvbz9ZV7UCaeqT&;MR(W$3hk)LyQ zR{rnVkJoXMr}mwL%3I;<=niOqkvBX0|MW*S3M1&ey0zIIono|oSsk&|s6dr2;#b<1 zh=nnE&D+?rG*E*dG!?tIHg(6LI?Ky%VgBLsd}x9rRcqXy&!$i)jvNLlW4`SOe29#O*aTAstDAXuOCkM)!yIEOe@bK^q ziSl5}2WSHO{yh{10WGK!-CzMMq+e`|vPr{-C11$4tGwNfumzaLOYKUvm);&Izh5xgTqYncU$T6BcZIAf@#vs+aOzjZ(J7UKl9zO=oEsg; z|5nJ@m~jsed2yHgP}FVwP=5kj}2C}-y87r*Q2pV z^SlwWEj1a)c7TuP>260JM|3olczCB(BOGiQ8E`Eg3s)c-gYtDk6xlX?KG1s4zhQSG zAM%JfSC7Tam8=KrgMsz!g@`W9@dAoiNEMznM@>+QbU{~y^ zdifm^&vqE-X*ydAI+Z}7o4u((vkWkvAlK7tTsn5W4+}dQ=?Q=0VnqGX<%PL4K0bqz z*(Ul$P*_rhNnQ%vDHoXz&^P6&iE%4bYT?s`U4ZeokNzz_D*w@Rd z=OA?PNggtN%VZ@Ji(pqRS~4iDd%Je+aAuV-Olj}RQB{~uO?c2oXJN>K7 zw|;bcgIT3gR#mPiKl}YCU#DTjiLS`R0ve54_|Fnyq!(pRnI%rw z+NXu{QW0VYF=obiR&-ufd|YWY%tfcTf+{Fy(h9G}plY;ffxP`Mro}LaUZau+OPI_C zH&z~9-P~}Bijo^9Ac%K&`aJeJ#jmd$3J3^D@X9j9=j&^_I~FATwB=SUQNQypb8`bV z5OAK1iSh*Ux>XA$>Wm@cJ!d++GB_oP7LL1bX0 z7J^P*?XmSi()(8pzrI!@Ty$Cp7H`(w@>B@hdzdZJn5jlI)q3WLo}M0q7?_j)&Mdgd zX7yo{58>m+dl4qZidrfH^8TF<20TJ z_~bNQ+Bqt&)$tqxk8c(#J2|Pg=p-S?HY94|Ii??=B;oJ(_=Z_Ost&h0tBHNWv4}u+ z=)m5oZe5bmn5##6r_uTqhX4W73!gKLw@is8XDO13*fvv~(7Kod&&4_;$T+QnjP-1CxctTTgb)&)vDPN}d};46Z1_jMrwG zH$Eb!WJ;)i-)E1gH5>yfH>&?qRGFkcFD+RnDHm!0kvBHpgAj4=odt-@(?`&n!ujS6 zc62<1G9^77Y&CK*Kp#>kih>84;L1u?E=B581?Tgvw;%xl^k`urEmAP_f2dmtY{W`c zPz9duCTTudrHr)^04E3R$xDE!K&Oj^4l@p! z{qO@1&rs6XxHghBu6hN9S0W=MIu7*u%zzgrM3i&Q5Q@21!T8>+iC}wE2*FDq&euyV-GHPP>rmhqp*UZ9LA@ToiDyQ+FaWB;wX8)h~jHvYXA(e9_o@wDly|Ecks<=P?lKo>rq5i{_B9Lwjy!F03?6{g^3%5di+whP!;5OU=!;wU_(JBz!%-8e?l?Y zaj){H>slsVDw+v9wBI*0>FzI?5q=FecnCe;ZJUt2>z@cdecW;8r=z2DYw&hyUtN_N zde?9GpC#Ae8g5?BjN&Ahy-Sgxuhjcl(Dzq9YeAFk^10LOYMGSR?j@)iV;**<{cTht zg*eTIYE~e-blm#Ua1KOQlznbI)H=F!R3ImCeZ%gFfpYwDK{LmdCtX!Ko#nOJrhz&& zb&eE#*DEU2Jt+3*Vj=X~V3ync^N&f(gF{Wd*PD}FI?EJ}DLL+b?uHgl5H%lGyJoU) zt{8!vM$$Z4aF5s~u4M^O5>oeKr#Mvp+X5;j>cGBfAOY;{Gq*lq2NTFZBV%IX75<3R zb`0u|fq+nnp?r_WqLR;j!6_sZX+oeE-3>l>kdTR@kJa{`V+}chw0Oa_hB?ATKrvSt z5-4G?K#QklGz#FbHnVh#{vbOFa7%|S0^SDOLP44Wn0UvU&C~T=iel|sP(8Y;$g!- z<a<(zjXRCCH&GM6o2+;s1U3n|x^T@$o4|OM4-pfCy@* zBBC4|=UFzLvUKqzf^Lx!_-r5mPhMSdr4?~-arIA4VT70jMKKV|7?TW90)ua5Eh|}IPy_scQ$Kw)kp!SrTwabD4_Q)4Z<`%> z7Z=wGpAq5^agd@dc-lNOFzp&`-#wE%d)#Rh{G4{hH&8Q*^~bsE46Z~-SVON?zSl}% zw5eZ;ClT_9mCiqp{&X(&zlXjcl2YQk#8o<{{I~i|)_1J&g*tzZ__0L(jQJHxhqs>Q zA&Vy`QrWZ%5^)C2hjab$d)Q#YgdsJDDhL^!*4E4mz6NE)`RA59d=0oVcTGfOU5Q;6 zSPcxUVZU{_wA?|hzXL^WeNs_n_3`pZ^1DnCBqcwk{d?4wD8%6kW>I+OG(Ja^ze=-J znGO}Nn|thqzl9#Q(qM{ol{jR5Mwt#6WMUE+uS(E{mNxzw-_x$pXMj42gflHxg^bs~G@18j#BFLp`5*=?Q`@_>Kd+ICOa+-QNla!0x|CGmnB+GJ8;` znXFZ4s&Q-Wc=!(vyEXIH+WxY#q_M zQz@H4CRm0d=L&b>u%d2NNI2M9YE@l+ln5%W7~* z5{9S$%->D0xt?Fs%Qvszu%gZ4{C%i$aC~nKV~mo!N`GCXmk*|h>?g)c7W;&HsTqYc z`NN3OX|RT_ml=|qi<8@FE;S;PNF0ehypz4fp>jLL75Np`Bv0e0j{to95M3ikEo~c? zKbvM)@J1(Iqs2s_CA#DViatzKT|S^I{rW7z1D zxtf{DP7-wE)8Ivz5Wt(6nE@I-S6OV9>mT4gnM!p6>1i~nV2Di`3OYKFr2w@GGCphU zY|7zEFXO*6vp&fkOvAY9SKayj_D3>)GxwX;>#q)6Jx|`OGN8(PT$4U^xmhYZwUA_by^=`A?zlxgX;hsGU+9kPHr1U@i3jG`CA-Y&)gH5w5=(V`Q9<+3K5frYlfK{fKLuX|Y6S;ziQ3viC(dr{^q z?o<-Cub=zbFyQoVhb_tTd?VXrD*~Y}O%Ko_g{rcz!Nzhpyk)f*w^;59@@Q;=yNZ* zABBqJG}US_B;4^oF=BhtI5X4&1LPsOw~Py+pV1DL0B)c9=(+)&b*rH|}u zPv>XX=PKULKsKM!FOP4%rpwN^MsYsw)ZO_{icYTnm~_t++lWOu_9R=f!yBtT6RNUT zm-G;L`Q>{jP?(6sxoB{~;fF%=Mbi1=NUh*yAE)N&cSM0Q!_>w`OyyB|dAZ}?J13Mr z$ZamJ_A(HccyA1GDY6>0_D|=_^zED05XeN6n7Fzo0@(c@kWiT2Ihf7|r^zWStcU?? zl4*6DyRBtG}e|zQ&7EdC4ts!kP~YM zLG+)z_K#;!5u$(PUqTocE7-fe$?q<6NbNeQp$4G}M4;C#9F5?77c7 zF^4*ljP7lB!}}Kxhx>9Q;bniXoU9kaa~jby!yRA3zciVH%gK%()Fo%@74aWl?tP!| z5+&^4Zw-2R({Coe+@gry`g#X>a4L0FcJ2Vo$B;ZW{^JK#AxfYuZ*+KlKf+ioh6GS# z9-N$@X7i#1c6N$9JUkGPky$!9VS+5#LO@VZ$IuWBjuC_%p=iy^v4;d9LS)z<4IB8%2?DUa={-`os*+|jNm zb!^jPb}TQAC%#K%m+|+!PKEEA5|M64kiFNL&Hn`%u@@HY&p7-+^MU5+Qty4Cb}QNE zJi@K<1B0sLaMCLnT5aVp*W~#i@;SGXn}J|;TOX_qRAZ@aA|gg0MuvDe<>!th_U`A8 z>YdWta^{ZESC~_e7*rt`bSa^6(xN|op&y!&$Oqsmx>`0A%@HH>AzTIXFg-#!{z*#- ziqI4ml2O%R4CYr}m~t|01*#>E7dvvbOLlx{fan7?*m(N)Aq{ysgYuxKz{wyPc=&x! z(0nQs1D+kVnrPU5$grTV90)#pD35Uws35_S2+|=hvfUBzx$i;|G1gJZI8Zu-)9}@w7j6kNPt1Iq;E5FYJmztVd zd1d96=LzW6_sCE!kt$K&0*hoo{pUZ3slPCADHMc}`++`w1SAa8T=shO@4*J8t{3^= z&i_l5`=fHUxbH@KiJ9jkt_B1Sngj{LtiV_CJ?a;s7dob>hRazcrk=h)Y!dnFc=u8e zzVMFVz(O~er|s40!cx^oQ_`Q6j#(%0A|X?92Opn^#N}!5S_t8pHpmHLLI!`yGd1InAKl)T2TfYOFUB3L-~!N&DqW4Oqb`Cd)xO8&S&GyL{MiYXwv>+hF3xGSEs z)lM2XIIvFNHe&;Kvk%Aw(H2I%Nd7ds=>91L4~K*sIdLITJE6L4-) zLt_(){~^*2GPYB0r9HN7c&N3S3HuP6H_>!NLS5d`G9gMi+-%zM(vgC#gUu{&Gj6c&qlhEy}y*c{&t4QCPQ z1xDm~RFiXqOG6l61pNKyOd+e3Df2>&cwCFvWI0DW-BQ91m7 z^0@nC1l2=A+@Xqd26Y4WvQbx{HEv7E?FAUTX_F2ze>YI&8}4^T*Z)yzA&;^WC)Yqr zFjlINtPEfdaPfl*BZYk(+bq906{>E`NTfP?_9kvd-v7N1*>9x8Oh ze`GCb-J2WEAI{vzbVvEd&E96uaQc-PH!UzCQ1MZ4SylR54xe!rT;o)0KW=oMNpz{$ zIR3dWQLL&M<*Yhq?!jA0mZcE^&(McuWXtPZJzcYRBj8l~cqAZTd;vH*z%}rsqryn& z*)sq}6z~iUx~OY!Bp}~L%$u3J$H!4%U|{q+y$KB#2+7H17Os_LF(r(3@IYZfG89dP zHTiY&7%)R{x&-9pR<^cZRZDO}avwUubp+BsY=vz3h?1tJc--*B2l7G8jY*hf*^(98hqrQ6!j zF6t~5kG)JNW4|Rzrz*V}`E@n7d&D9LqrFCfwvVab~!@+hcdFT7O=%_(9RM^aWY2+v0~avU`OvoyqxMPH{#>syGVZ zMa$*@y=rP_htkImSZ?G@8dZ6q=K(yn6qP?lfOI})^a-f9gO>obyTA7YJw@Q$bH!%C z61$}RX<98g)BQj2?JyUj z|J`)jua%=+Z8PUZ)Y`60>9EmEP84%7lw5`rMs%l|n6;jy%&?E~9T^9!UHkfxQFr3i zN4{()`N zR%d5xo*Z#yxKsptf-5ri8|t)tN-TULQMIZbKVw~sz%Vonj@YbGgy|u_5a*x+1Qj!O zevC|rna7C_)(5256_aIX;%Fu>t4Z5*y)p!ztU&{{$~sBP7YouxK0SI-LntJDr9hp`m>w(V#|w z(r0XLUQp3v;pT=n%LPjAK!0=k2tcBi7QpL3U2SIed(6q!wp4L-@oQ#(#agom6;)+Y zlD)U1<5}s@(mE3UUXrJ$Ej%ID3mkIj`Sce$G?YA>>EPj&0f!+3hn;gQ*l!C(dwl6E zJbKqO52a(mGBQh|Q?3IGGWvq+s6+4iu06h7aMq0_S|a94wjZ27>kSp(4{pu5yjaSj6$zc;M z2Ztcq*u`n{I%1i9$O;9n&>31ilakd1QYbFm4_J4M<2dB9jQa?#K_X#Sto}=FHeD+l z)o_M*hgqsyU+43C z>KHZc9KVd8y|Tn2FtMoJ`MC>+#Su?Ut;HuE)?C6Tm~IAUR6kd`cxX*uduIvzga_GA zr-!rZQqOxF+9d_gal#mUz=zC*^oe$g4A7sF(mT9WstG%i8Lif!T5Tl>t~d+ui@cui zYU9eCZj!l`S#yUJ^v^_+z7c>wMhUSzPPtY&Cvq83b#W-}=pYIT^MB$n-yV|n?MzKJ zDOp9*foAa!6OOz}?)Fp?W-DX#!08_L^Cmxd3#lzF#YGN!H6axoOV=Y*nWlUOrPji^ zd_!Gv!A0}}nR&IkCjv<<{Pm;6HP8P5?sc5*=`z7MkE}1|-`8iK7=0z*`Lo9kIt6(O zIoqxp=iSX405s?O)_rhgDGU_0FE20KZ6C}Vmo&YyufPk2o8UhW9vfB50WpjX6)@B9-3#c`LIY0cL_E6?*6SbKe?Z-fl zyE#+%4)Dbav#bC2nWfrA7ubh@&ekHt))^-yMK-MV0iuJjTe2@0jt>`9!lWZSWA!!% zi%BC(ONGSE?wF@s@(u7y`u|G8|vD+L8MN(0w=$HjbX2)9 zQ*OT})atA;$%l|I2kD2|%}l$!AeyuzYXR<6t+*d`vMraxKK<9U&W^_cO+>KEtzn%> z?zc>dNPxTtjVMB7^ojBy{|9(xX-Vh5?r7e!VXe`JVlOla>~x9HWZx@k;0Ia0bkC^K z6F%~0+kI|6u9zFBbT4)pdc2!|xxY=>}~c0X7GOs0i3h_iU}CUBI>gNI%J$db4)auuzZE)%8oYxPoM;e5dcX4 z%A*WXUowM*!{cMXz}ef*hlhEv)vA_$tK}u%=9taVw%L3TsVU2#jQ04r*(_3tZ z7nWL{RLW~yMYUe?lZaI!jO8?Ah&j-kU%-&6Qnbna&;AhdM`h;^1rs+yovo*_?xo(v zFCL3I(DI8ZjQc6fKa?*GV4=g!Y1Ri=QZWTK0#+pDM*!!{rz8T|qtdW5wU%Uy=e*dNwgUgVAZF9$3WO>%pc`m#kdW=WO9OQ{H9=Ia(QR28y z9>a0NPP4nzpKA)N(j_v|Q9-5A4IMoJhQc7(wSMuwk8$`Zry1ziP1s#leJJeq0z zBu76Cf^zj~o{^f_0-gvRvn5A!Sd1h`89ny>>xn`UOE)`~yysuplQ&z%EsF$sp1jQu zTf^k%a}$3@;`sl8r0D@-;N0ooXVIijVrv{-$TxNB9YYp6^mniyl=f?)=6x9 zU4p#_xa|NjL{7aY;i%|naEaaOi5tn>NkXHeqggW9fD0aS0&--ax&ZSj!Qh7@0Wd%s zI1#n7Ic*)CrSm5#srD7QB|KO6%f*!aM}pRn+z&vcIrEoM)Z-jwo-Q5k+-6bt5CDPs9%B8!zJKp1e z=Ka77GsL|N&)H}1wbov1e_wIpxzF$k1}LeYUQSrlgxL$N8HcPg?Fb za5@IrCj@5dM{he`!N9Y`xqRzE5MEG#aMpl2Mo=j|t--!qxyzn8cHSV&-{;})os_R= zU=KUDqE%?JecZ=(W#{sq5JH2cIUrwma<&l0+x|F8;Cq|N?RnfySXa?+y=q>#x!oq( zFL$;cw8+Ali&!E#jqP6dZ8q)v=koJ=m`0Wo_+@wu&If0*Z|MD$#UwP_!J#S#H|xgM5|PFSe*^6=Dp zF07wn?ap6mScbu`p-5?oFFD`y>PW&#QC_@K=gB^<=T}U~!&*y7Q3f`C58{jytDbxj z++zM_)^=$vAi0X7Q}#e%Z2i1K*ho`#*Itq`_&Kc8EB5R8+aMpEup}uxP5@)cga7S7 z98pibU1@2l=VmN-MphPZDgsFP>`qpr4w*5(yP75ebXOeC-w!l>kr*_MU@+lv+JFuT z35oHDwQXv}Ud?^{yy@(;yx}>(b@+$lr7vALwyD63j7&9W?G1-(Z@3d)kcjv$G|KN! zz2u*dD$$IslEcDafTW3naA0SU9iaKe@ z0X8nc>Qa;5it5tvwllyg0fhosm47(c*F!#_e^#8)($@!_-Az>fvMwHP)ECb(N7vu+ z#wDWFC(vJK9eIUY#59NdFMSPog?re`m^R?v5Xoj6*Nw*;@D7AEZ4)%^+5lO#nzCTs z{y9y)uk%2YO`uwt(s>E9U!=0%ftv5*;_6N$P2So#|LIoE0P*HE#1Kw>`>N`Bp-QD< zWyvE)QGfT$k(r^dZUPXWHL4cgH6ogPN6q|` z+^+ZT>HKg9J{PV=X-W)Db`)|8F>3CI{82QerR+(2J8_k)CnrLKmcJ|pp5hK;ku(r; zxZ&}c$=hV9tl=?!lZCECbpFSTnDMnQTQtw=(+K_H7&a!d(cY(@OabzDeA+2k@>U}^J+ZEX+A&YMas)k*?c)gCU&|}A zbcyzLeNd}-KzAXE>Ug%+Rev7GZZZBlHXJ+`faH$bWC2R0dRKrcMDNx+b~z!v(4LlG!9-Q3(BCt{al z2{TK*#-ww>#DP`RhG##&I+1CMOh%eLQd_NB%1&fqU)PJF+#yx6!_wZtEWj#HW87;3 zTa}Y<_M5wB)H!izABGUJyY>-9TFQHM_N)^?2N7j?-cg1x+lI&_4Cy1SPZuLg-iH_a!5-j;Y9y{>rzqSolm_T9DyX|O11#Uep zz3Y>U?K(kLGBj8VW1oRXhzR%ThPak&s2?CR=Vz}Mc@XZ5j-v0Hr%!Troj*ez9iI03 zX5$n8tHt8*U49KmyB&Es#zu89yN@|TJC=J1`;ZJBn^ZBYZyy$fLaVH)u3!)yt+!KW^Dp8)Wfg^Dzn z3m653R2(lWvnVEpu7W>0vw1jot=bu-TYsAxc2Tn?0kfXZ*g9luhc(su3G&_VINr^X z^lwCkF6I*cWu3rdQVZgGrRRG&13^Ohd1PJgAq`DjtzFtT-@K4<7@~7NjBUaSk>XYJ z^DeOV2IkKH71EP0{z*YFL0|KqcqC?C$h&t~YZDye{K;#~T)AirU$5!Yr9ax%m+*)n z#Q-&I!TxY0`PB#dSV>r`IPpz7b&UuF@7imsvq1CC@|B8uDxy%9PVfIlor--7V(Vo( z=C9aFXKSzup`NshT~UoMy_!?rn{Lu2yzgyZ(7x9D?*y;-3dowRkp=`|II`6EWs98{ zx_Q3dFdNI;XDOR=d*LpA0FT+f6H;nbum7>05bwi))Zqr860(3aFBDZPE$rV`bLYhc z8`v!dbm%Fq#L*S;inac+JyWqTr!P%FvL9N2KI*{Q?ui8$zIA7t>p==>(8LPlX6|Ea zbV&KJxF-K2+tXpd?a0&W>w~h>;W4?iSaD-m%fk214Zta1=xOh{^;PW_NP0Az*BTh3 z{T^@5`w1LCHD7q~|NiMZn)!daKp<|@TkTKF26zfm&s>dBA4?2Tj}?U9ub#isz~{Jb z^3Ct`(bO+rY!u6NcCTFHMxuXMiaA<-i-3aCAKjHVO}}W&lV&n3IPq?Mt!L#+ataMZ zbYalb(K9j(p#Gf#h1(o=c>h#J(mL3bN%)o)Li8?`&o7rw=&=jogim1lChM@T2Ss@F z^m*k}1uRv!=H@?b(fkXr)I`d_7IWMg#RGSepPvoQC&T9h&7RYU2oitXKxN+z4Bu@A z!*!SZM?z(xd&-X2#|}W-ZBG`6KlM92!J-IWq5kiLHQlcGc%3xudOlx6nvUxi@0M4e z^#L^HEV%OGMy5&YaxhIEeb2@^v$ki+EG}rpG+yyb@B4-)F?-Y7$c!QV2x*zQ0|{0i zYWb3r>Z%UJ87=lqYP;xty}W?e+5tyAa||Njll8POTJO zf9m-Zrzq^cQ&3_C-y=h1yu`L3E#19yq!6cCAzGqA(~@KHyDa1xYPpvYijIn=Y-ev@ zhIMIXDlK^>^EU`5WDK}{vI3{nA2osb@7=_U{F1-rm;3<7U~zFli2feX{1L=sc(!Kd z?}(YH#L`f}7Z=l{?MOiU0iQIUy5l7nkSQW(oFy8#W$Q#t25nZ={~~cpT^8~`+JNbk zb4+gwuHwy^^9y-$A8+_(uHA?{-4JKgpSKaZ>_wEW(U}Vel`zN-=^n?NWR7M&36@h8 z=kbVTme9od8gIqbiVP(ihG!5RoNac6>_=Mtt|wHR2OpG4X>FaHm_?bsabbLbS_w1X zl+)p*`%U~;sgNqL%dP5%9Rd78IPaSW)bFw-Q%Ib4-=;7bvG5P>t)V5=nxe$uQJ24D zJiL<9hFp%`Y`}hn#zYMMH4Hm{hv%tA8VzrE$@vu(UzGsb)88A(-31@FyicNK zH7NGqOJYARVN%ey4E4-eW#Slk2I*AP|CmAreYAOPMkyYwmp!3=MsBX8T+=REsK$Rg zO17UgTNV>D19-iK!)N_v=6dx10bPZC3UhP5g*KL~$vqvH^Yu|$y4?4vMJT6@`Ei?* z0X{e+PY$PjziwaR0fiX1;uDzvcr9J;x4KvZdMGI=scJiZS8dR@qenu6TPdSdRw%zr zi_u>9N45;*S!?cb7-+I&Yz>>-N)jm)XMizknL(A|j7r&;FKw#d{&-!K)Q&Q4?<>)O z?qqzF@uIH7FAayfRx5m5L^I2`DSQ`(CvW0NE+~Cs%+cSyLof&7|Fr;-*2`vm=_rt0 zPoX}!5cYXVgEkg%&<2gE1O-3q%gUwltp>bsD7U+&IolnY-q{ST_e9{~;jQnNAD4hX-TGqm5}1f1i5WhdVw6Ov6$|832?TH#0b@qFQl&OmGTw|D*A?Qc5&U2Yed z6TaayWy+U}9nXsbH*+Sww=JvNh=zA>4PP$Od4aQV<4Tp^v5mmRAcgOt?y9k)W5NKj zPmI*&LjX1;I8!f(q|GGi11D#lFP;P`gYLdYY|$0Tl$ z*XHDVXHvZ!|h+5EE=!f|8&ty)lyf~8Eo5y6%XMTcNt||UL8sl@y`a z1($hO`@6?oOFHxAwF_dehwQWWN5Zkxh?F=`LR}U(Xh>UgA3f!mi!( zb?72&bdjE+g_X{VG8jhQ8?-emSfEzV@6TM;D~w@ziYj=Zo>jpDVSLqVl^5CY9LkQ{e>Wn13=)7ywAHx!oN4=w;A32rhH_&RGT#1`%7`bu5QdqJ==8-dP$nj9`@ZpEdeaf! z4}G*uBzv$`D75Y`7VDb@%mgUjQDZCC+w>4z_Q2NT<(gB^@XS%Eqh~)eB77WC^;@s? zS)Q;!SFEH%csp-toG++MV)-yl;ZYN-*Mb2J8~k}|jp-XNPxqI=`D49v7b!w~;rONi z=Ga|Y>c?NPncqZ1gdWB%x?dNMR~lN^7Gr<3rHeJs>{ma`athhy_bs?VmHXZyDL=38 zW<1qcOgU?$eNU$bim>!{kA>6(XJ|irDu%E1fnSSq?P-S4qm6LC#Y>B_317ed z^|wV3wG#hiF>$f_(iITfzTF=n%-RM}IH2OUGH03wvM5j%z>U_N$GQl#f)l%7U+@tf ze%sm0^m8*weH-8Kb_i&Fsd*1>0XFXcwf@FHKr_xUw1>2WTxq(6>4JGlZ#Bw)tibB6 zJ_Hp$%P*cXb*@yD9;@DLO$*l0?+_O8hhoa`G;6a#XP+*?ozZCQH8!)M!A6~pe5>a< z_K#~O2j-u(3rA>u2w9UuE!a@ZrnupHdP~KEXZN#xx=(+($Im^O4L267L++SNPoFo` z@*n=lFpvze8ooY2?*Ehtxj`Vg0GDF++n4vW=t2Q*&)ll-tyvkg0D7j#UWrXhSg$I zn$^(n64qwSV7AeP=o!?U(yyP0~==M4ms&EZ1~s>{>!kM#Q=4mq2LyV&16NGgX` zr+nv0pr4iEmiC&f;-`QqvE&F=psjmX(eEL5!%!@#d&Q|-Hqq_5?z4jz^!ewJ2 z&5{m=N-h}_?;2_08(CAi@2We?i(xK;dsFctg8R(>)hIMA>F&;c9cQS3d64ZipW8mn zPQQz&Ye0_e_amjmVG|z@A^r7QekPfqKdBseK=|bQ-!@rHiw7BkQQ$KIX^<(=7m*)9 zjz%r8D&muQ(DRagI5)%+*(1hwpM02y3e>sGE0U<{k1({e-QuAiHf=g$6$2aQTP;oJ`H8!=>Pfl^^*N{r_!|VCLP_lR{Rh`j1aa zIXt3-1CQP%qhn*h(hZ=9JaILQh>9au=_;6Hp*ti=yrVefzQIZMW_;OX!heYq( zi6rRaDEw!#p(SzSd}YUp-s zgL&2ocCkG#dNC(*^89Eao0gS?aW|d2Ph)Pgx|#FqHIeU>^D+uE7F*^VZUjDlwF)*u zow|J6%~QY+4>HB`aMt*!ZT zn28ibDoEtEm7~6DF#V99YuTeAx#X9JVA8Dq2oxbQuC#iipXZ z74Z~Xhs^MkfYD{ton+cw;fStNvm{K>8yZn}re}^h61W0U=Qn0T&9x!j8KV0%qBo+I zwnKUxb7{9W$(cw}Tc`{E9h*LLql)~2!6AGa|B<<-DAevP>8s{bv_?P=w0VjNAUOnq z%F(K8lV@bAGoe&g8?pw#2w){soKi&eN*g6JlcH3{o>XFMvY7H4au{oXxWryiOQh*@ ze_`g`wldi1?Bgp(XS=v!;_dyBESC}iln($o*)0O3seJ$G;0ook!}bLOCzzAm&7q|@ z&YW#K?cPxM$)S89;xY7yyL6vD`RVp`aaXIQri=UKfGTaGVn+Y8sMy%Jy?^Pk^qY|C z#!$R~6xi0F<802$Dm{+eZzBMU;{cuipE3d!-2bf z!y;7_Ia1G8u;jYPC08ykn{GFhXms?-sxX78ID_mY7U$<+a}ZAurm5ID54Ne|l`_VYiLC`wtU4;aF7)gicx9F8B7xo0)+CpRxK z>&YeD^i7&|Oe_AHRs7wY>+PWv6FLh*0cdem`vd*!UHt1H%JU@3vDY{Wh?b6TuCEtP z@3`de=(z-9+8Jfx*vdnJ$D`VRAAs?=1f`_qF^@q}P3X31;(UI>-+f@h!{_|Sf2_^D zNl*b=rCYeoE0Bf$6mc@5Nx7*H!ls`UFf-18hhPQyE;Ry-f5xLyzhry=+eY7?h%%6ST0Dx85#kdwH7;4kRK^7pz=T} znOM~rgfK4`itc}5h~l5u#YPv)ov=2h$T`(@gsUf^{81ut3=LVQL94J7DWnv|M;qCi zOhILit>#QN*iu=vIM!j)KQKahBViT%Lsy2X>5nd%3pSZw+J+;H!df<4mV zTvknyOSe45!c?Gc2yB}9*{hwwhOJXn^8JtxIU2o29!Z98aEGB!bo4ToUJqr}q69sa zq!Xi|IPIO(GutZnIc}*rY6-%Fkfby7jg_Q$e|?Mw4F5K>aK1@@b4T#D^IU^Aa5qv{4RTTUq97BjSeW_$fZ z%D;9Uzd4pt7O)_huSTg;Y zvG^-8ViN<)U^e~BW=fxTw$y|;{2)IU{#!|n{}9N25oxHEot9)Yhm%lgg)5;-{e(p$ z@jBv3$Kjr{y!E<#z?X!W`?pHer7Y82#*J0P-iTB100#w({5$A>0K)ySW_x%3^L#!i z6#hio|3(lzW2$ps|F`1nxF zuw-90Fc$-Z^4($tT)e}<%%OUU?6p5l{?|C}K5}$U1B3jM!}^xwU6&JwCUXCM_F+b; zQ1f_jOpfJ^KxHMD=gH{tVPQ()+Jde7qiY12N!ZUHYIKq)HGBjO1Cs3wdwFUAd26l6}c2i2xN#>MVidgKa4L5-%XQjO$wTQ+*#MO_xHcFVZ=#jJbr zSkfMe>pUsJU}Lk7>`*jf_d5-5V*Xru?^KwGQ+2WF@Q2!y(-dh}lYCM1kF2#d?~@Z| z`sj=^e{FEmWiq*(;4V{=N*clE8XVP}czo=v(Thd-t3(zQz5J>2n)~i$h~}HtqmK+F z+oB~0M=mQvd<8)clLBfntDK1T#FN;Cx4YpAQnTKE)up;uUhw`T{Nq+^ZtsToWY>aD zmBYxbd(|p~M&6HSH{uUtUj;vNk8!aL21%^WnJDoYc%iJ0^*m2xroKd$h=*CkeM8|4cc@0 zKPFrDch!}#3~LbpMF*M1R39jwc; zji4#fW0KA)1uG3gn6mxLe6(whZ;d+c<{ruP-R0wM_}h2A;Lu4Eyy8bEI($wb(s$|c zbs8um!`N(o%%96wO8Bo>-G~M_EL|f;W7GGMp~hGBOzP%0XQd*p%~571aT#pU@M(v= zB1oh5@86Wk#a)%l@mTe&e$4XOe9OLwc^IL z1ap9Tm~nOy>G?}jBzj4XA}&o%M_t$aypy>#6^G&y2qri5eVEDLf%qRoc-)V00dY>~ z;z#3ujuVjh4~^`1)A!$?@qY^h{J?(L@U9!@?mqw3D==~XtVBK?RNdWO|C8N206kdc zdF|i{-47{WbR#mKNe5g>KdqCztnW1jJT?T3NDDuxth~P5Uix(0`T)WIc}=|EQ9=8v zPuH}0w(+ z1lYK{7&Oz~^nrP!FGmrAXt{!W(Vonna;a3WyZGcQLDJoIwn^%u;htXjwvYo zb?UnD*Ai(W`kRb!rI!4jcw@p5)207Mx@wRnQ*@ zt-PM~{K?aE{=}o{edtq}nJ=NG3+a{@?>{ErVG8c~<4T^1I)eE~CM)_T^qz{GbjixoEI3qC>LvcVb^A#*m)1(UOrFJF2mCSpFw zs%K@E2B+ag67aA&IzSllwu|Yxh=eNOU&UNTA!utXWkwZL)AVTi~_j{V771 z6Z5ac$8+qtxEWgx{9>!&&k4&&z^sl#F}#NiQmJ3Gdg^jC$4Y3iiyUXS=+n#&e7Hdy zvZV;(+{29~Pj8*{Jt#%bpKZCF{r&wVw18805+$CSJwPN+Pl{&?c2w4b*T<0&&E6qkHfElEg0}EnjoTJ9KvBQxRF1yspN{P7jcp)G62tb6Gja^ z79>4YlSs>f8E0m+?MnSqtbP-pW>i@n*OScUvg9bIoY0GPX~_~CBLK1!3%fh?ci%?E z2Rv=c(4ERhzZ3~S6j8Wz{DUh(jRyB;%I-@HAE^8HlpgL&x*xI^(>M>PBlcE(p9Dpof@KhwL{DEzW1JZ|{ZXLv@?aZcd7Cr+~Q z4$~AYh}L(HrpCrMBJ>W-9GmLDrbp4$3B@gN;prvQd1R~KgD_xL zx7gsr>SaFlp_Witv8g(|@XU3cl^XcM3<4X)l>qN>j#Pyd5`*HKDLr1?a@AHplUVSD zX$j*DzLQRix_J|)TJcpxPamUP>!A`2HoPj+{N2Ci5vt=xF7(1-`Taj1?3A{s zt6f73j@Zq&GbcW2UoI*vO|cds1gR%!QB%sXrT?fQSUh}&yB3>=vZI%0i=42-x`AgZ9~03g6O8y;+D{kQn}f68?S3G*rn4xjt>opYDz+Rg=!}$LEhi zZK!WYQ3`u;DR)0w`HXC-o1rz0$D5ieU%ivdUSXFi*-(Hrd0l%UB9-<$rKFF@WaxhO zLbSEDtp<+Oc8eg}0@(i#eE@DjPK3axrv0?Gxq0|}bHKwD0eGl|qDrWQszz;ZGxCl8 zVgxP}QRHB;3aA)#Dx^AA%T`Z|tnkI)L28+uo!uWrR^VO%6b-6!#VP!QsDReY&0U`1 ztk!SDiI!y2YwVn!o*vAmj5EQ;#-4P`jf_M98Kv^_@P^fqqONX*lX{JWEx z2ODOfFvlaZ5W2($x4B=nZDiV<0K&!U*2VH=h#y-LQp$N&(*rFJfltcd7@F2d;*r!z zQXMZ5yn^2hRGax!$g$r02UpER5`US@0GBK@+%EICw>W*D-pzx0jru8z8Uw4azoXn# z+Xk?&DeB;l>mhJxt=T;1pMgW}rV%=iB!cPnzdK%ivGWIAhtJjNZhk->_;~5uRR&E5 zfKp#7cm2zpyqkxG+uTBMn3u$8Bds#`nx%Xa+@1kxGx&u5F4No)}3FUH$ zIOEJQ8(-ZN#p%Orvb7;&ED{h>3++&=;lJB_%LNnJ5XhIL77rU3m7NJTgW({n$=h05 zqXDjREa#Y1J@fBW1})9O#|J!Vq7Jyz1kjkyTwW04rYR~5?bg?$BjWOv=MBsDqcGG6 zIB{DF`P!C8Z#DWMO>U;O60&kRI=mChTx329pf!kJ6gpjis`fYn^J2OgG;o>=nAa z$Cr}@oTu$ zr`%5+VLxXXYAePd(=@@}f*160hDu177k-2TSLdrqD7EW)+|JMR&kw|>; z2!Fy56VI?v>ECChk}4s!?Va_}w5F$E+i;=%t&kM*7It3Zmr#^BVSsf1O>Q6}VJP?(B%qj(@L6%(Ez^?|l<3bLBMn_6=1L!niszbDZ%wfhH_Dxo))5Db& zhhovPy$ir0u(5wJTm3U{isgyZ*3lt{e+%~2)6BpUuoGcCpM1R<7icTMCJD$2NlFL% zKP}5UCFur*Qe-V*DG2K=iK(IPxQ z5rM}uTv8XnIa*X0w&9ag!s@VLApOzk)9Qsb!R)o0e_F)(pz=|K-5;ZCb%vc>iX^{N zLS_kaG6**p(&*N-hQ^{Mi~_Wy*2y(83E;7TJ(Td9ld@ zrV-g}Ra@<8gDlg`05R{ZO*@wh)s`XB* zm-Y$~yN34Z+3V0B^i97=^WY9p(=*!r*0OS^YvLmR5;>ESW9RJseb~BIn#zIQpxy5^ zt2}k?2O+sc-9yvA2)2uuBWnhUb6&X+dg3 zEvGbKpjM&T)PF`}CXJ zPd?_8_ql;Iamt|cx%`kN7~g6#6`|7m!wjGCFMmw><(^J`bOl1!lV|3SAMYQ;<5?1U z(z;^ns6|oNY4-p3ekg6-0om~`W?P@$3yuntcc7OIDeaIbm}lkU{;WnZ7Zjw!Vn&CdkF9xpY^ZC4ZhR}p#^0N_4zBj+T25)N2U`Ps65{QDTc!TeS06M~ zbA)Kgf{CR)h87n&x(Bw0GTGyxn=}<&5mMtCLORymquGk>VjugdD)xt2SW`Kkuj>Yy z&Uzq0k79FT1f7C$=I4FbL!gfOakI~ECC0mNEQIU~UE*mavwvi`$=7=5)h`i)~ z7J|E~JqhCvh!BI5OIQ)H+OC-U8&P|LwWFp@Xyc4U3JNAk145+o@Q-yJ5zMP2&lb=G6zfz>A6~mB;HqGPu<>XA zeB&A(a=k)Yd^FU`!;MEFBU}*n0wO8F0H9I`P>)_GfvAtmC)jk@(V!>*!@^5}LRxYp zamEoKhqqm%MiM6+z#G!C_1R4y$PK#!FVY=`_8dMTEUti&=i@5P91`as z>tw56P^%3Kx5F3kGR|V|aEcwfNg!32+e7*Yz&=rB6eqjnAQF}{s8-UhNoZBNaHAB- z9tYWq(Ek*1idE4{lH^zi)XGXducz74(+)C9!^25ssbC=FQ5bwZf$;+FIjK?+StLYtpP^U{5&% zDzW5DT@OxwCXsdlDqhuo*Y8(~i>Il5aL4^D4EXiqon!-^NO20?E^HDoF;WBKk$hen~CC(%% z+l6t3eUrUR#=F=%$$?G>YJj?&-pE!+{ODyxbVCMF6^pQT*CZ$Sdjou*@rBQ>=$>eI zw&mruO5;p2m-K9$?3%i6g`9#-Q0SCyTHc7k6Elxrh;6>Bv_F=o4!4S-hIVOMw3(17 zZJll&pRSJlp}U1dP)_O4;83&CK$|s=OcKj)WX1Q1f1**}w42Vklt*!lo@IOGL}@Qn zTnVQP;Fv~PZo<1rKJfyZ<^dsq*hn%LAXPANRoqqeNHzZ>P20H5DU;Gl6A#fIX!ALXjPT+bW#;o5j*!CjwFB&$BujWc zmHa4uQdNY-d=5p+7=9|yGBm)tEvzS?K*pU-8Y9Vm$JnYyna`CGz0Yv!zY{seOdb#M zkR^sK(4lp$&I{c8Bo(*KpJ!^`U+9c>q%6Q88;;7SMe=5olD_GeBCA`@4$XlO#PXhl<|oNvy8do&2WD%G-V?(O|h znM<{7pAIs`;+h%jO{5xT)av>Ft5+0g*k(#ILmOaqB1|6HJ`(`x$p7wnBym@LfD#-h zSlb%r+sP^vP2px{iOnvfN}~0wJDT#*hmy*o7t$`=3fg98@x}Gb*IEFV6l(ZjqNE%G zZhIDP?g7wOT*u+udwBn{eM~=kAp!w9ATP( zNo2_hIl9MSY#I;=RL?U;AD`Upk4ZGAFAdNv_YlW#V2pyY+NSJ#9%$s#PHt zOKa(9@=`3A$H-Z8VE}+<)8-Ls?61zP)+Z%y&&%E2I?*{M-{ z8s@kXTe*v?SgFC$s`ICoxVC;ck)!$RN=UQzj?WG+&?#cnXjw)z7u|+VJNE(7Mmtw~ zdWXlvbx9-EwIiMJ+CLj=kf28X)HJl}@`VJ_>2l9jBfW>P4%rFrEKo~AcDgIx?^v6CFM&(0ZPmTo<TJRDm0R8Pgm0egfpo}Y6gRBx-wts zsdBa2=&kqJ8ayK6WtJzaSV?lSf0@|!Q@jcV8U}2Cqg^|>V#u>g?PRx1eSyu$3X(XN zu!_4}HnVq!%p)~pDn!^kyBVjhKGC$ZKyH2Q-vCUw_(sI0iOkT8E3F@4|D{# znEH=j=h{yem+@qi)*gkdvI~D3N+7CL$>a*WXMLJt$~IrCc%@;9}6sw+*3~ zaPdKP^Q@nnsAYsp74cIlsXq93E<$E4ufwmNZG)&%$zxO>3<61LuG$iAIw?}$(UHlj zZBSAvZs!%c6Zi=mJJt4-lqg2=Mikl@?eQ5U6&4q!xJ;sfZx14Iw)T$MOg7<+)wR2} za(z(0K;|6)FKLjGDUYp>NL62GvgsPp`kA1)avj7<=5~Eqngj3@qnbtel%ECDjt5V% z`khg?L`k5@K2o>kNVEbgl5yGr5jcCq!d$XNn^U)98pLFjdixBpX**ma6naY7 z+x9FR1lqWsjv-yb<8c(6>s?cl{LH0JLC6+meq=sUVbK#}ea5WyaCJc12+R)Q!*F*3 zMZ1ImXnqyOiiuEejbSZ=Re&EtWA(HNR-3H12aKB+GDS z;AxJmQ7-HGzA8p1MO_8cvp%(fL{gc%K3|jUTkRcnN)!-!qp>^4k3!U|QDK||^UU*& zX;3Mxl)Oc|_-7j2<0J8s-WB{Rr{@Ii?jyLCus`q%3XXkd5rMb?N?Uy)vm*B&$Ni7X z{#Mp2xsBVWM33K4UI*FVF@+JwaV-6wvo8+!{WQo@ZluKa-J@SJKUsRp-!qVm{gP_cqHsE32Ji zo?3&>0AFQ##V8)H0#@#;IyOw46Mo4=kgc6$A3o{uSKm;f+wr(<_*E58WuJo+X?#bm z-?k;HMz*#w=CwnPJRpq-+_qS+s&e1|(u1O3@+SyA;<;6{n`J5SJMeD=kF$C0zl7G+ zQ#D#lcUONf38~1*W|bBprvl<;nuEy84bZ~}NpmMzb2ndckzjkBT6-Lz><750WZC%O zSma#h)B3@~&&t~r5W3N$RO9vWsQu&-jR{;gO-)7Fi)e9YUo*;6tC4c0cc{N%>Qyp9 z-mtidR%mT(xnh;9UE7T0=xP<|4Wf-;79gaA^2n-qV^3t1CN10eh-&N=-wxX+EJJ1& z{m|*~M))xafhnlkDUz1W`@1c63n}vgS^C>Mt3h>EwGU_#=d?p61b)n0y?@5Tw$M(9 z$}Fsb?9=n%4-&%|F}MPXZ1C#~SoMFf=rf>GAsBjX;-?xTE1HHTf7DJ_rl)dB`Y`OF z99g}Hd)#{(u0Y;>ay$-L+R_Y?~}{?HiM)p!GrN#rDTp=bI+F`9M$2) zxwOb#X~1k-;y)ddcnS+Lua%6*V=m?L_ll-`{ILCt=*90VX3E8*d{Mlkho#tJ18N6` zKROXE!w-b6{U=IM^oOHyX>=0YHZ;Xo{LP=^d2QC1yOvmzu7%`_2o0w6FQ;FT}L%rAAfJg<^`VQI>9F^A= zZmX9b-tnjSSC~|kRjzY|)Ga-WM3PK@VFv$b8S3AKZ$f%$)DiHt3;)#HSz*`ZB@)D$ zCzA6*^w-s9PB&{Vj-dKl+I7b<#72r@k`oxsrz%VlX!aT+X{oroctR#$%m!iO&nBQ= zjrAbN$?*U=09)+;6i|KNfox)fr=LR+xb*@@uaZ9n=n>X+QKeQCr%`sB$~`QO`rI?5 zyO$ZIyyPmNs>>#UUI!?r!L)xMFvkV0IO9tB`lS$_3>ut}#d>Lf{H)U04eL}@z+E&i zGXWm-H;-D2J5zBA1s)trQoU_5B^(;>A`wQ!y1%L|F=k8EqkSuZQ-w57w+AAaJb~bu zGRF8_eVC1|t^u}W9v^2|!6Ao_c(cJE0Yvk@|DM1VPN>o>!9^iuPzG6ihQ;mu;-m*- zILEJUC*fihkjpL)S9Z*yrsX zGmfhVWQV(-X+!mO~%k4wlRKfgdw@;W& zxOub${SE+rR@Z_C&A$ib)6?L);XN4ksZ*nP6sN*Em#`i!(+8$vpxP}$!&T8UslQ^D zBB_)wu?_r%@6J$Np_Zj0I2LL%5}80eEBcZum99FzzV!!};8?*O233NU;P}m{uwc)l z(s=beUV=Rqu^b%$Lkn$K`3)8V6r>v&09eV(sZSMyPEVEIYPYUMZLw<&E)90(xbcK* zjrgiIzvRn?*+f-UM_X5Y3MF=NZG8-%sGmJM(dJrn+ea>yfsu09;<^l2Kr5y`JW9|T zKWBN32Tj()QYZ)y1Yw!kv}zxk|L}*XNcVT5>?8ZNzm}^hXx83YH`T2qsRAuj1_3j> zdrI*|T=%RZx|?JAXrtOz;xrQ2dfM$*0$jcm2m56)i-HnP>D_v!#ogy?%!SHALwZ?? zJ*Udr(3B{M4!72|j)YZrY!|iUj3iWZ;=oV-{zh<@P}q(Q@-cM3xvp-oQ0TJer{M0+ z5N!FcTq2wm^7?Fu{Q)+BnM5LKqKsXr@v(&?Dei}aX42)D;)`u^M@Mp4x2-@he*9}^2w zaSA+{R82vdQm(O!i;F}aZn$Xe{QuGPm0?wIU9gChG)QykMx-0*E(z(9?(Rl9q`Nz$ z1*A*5OQgF~y7TV$yZ8R}Iif!9vtnk}Os@lL3dpFJ0&8?`EKCF+i5~=M77!`LPf`(MeExon|L?m| zTu$YC?3JxwxnR^hm8Uk$#-$`N$F4@8>)8WkHp0#%PZd%%eJSFs3%Y6|!xS`>%Mz0w zF6qpR@~#&P{4vl?&<`z9?_|oB>N{EIkM8X7R_khSco7RmTM+_blc3iasiX3f2{X*m_n?2?YIMeY&7ml<+ejd}BgLb_xF z^b$Ic5po$S5ozQv17MOUy|LLM;k#t`!1OfpLZceL`iF`Dw?o?Zf%4NOS>^)1V@Y;5 zCqy|-`Yn5$w7O%mc(Xp6Cf&uwj*02O2tevR`XhLNviA=m+&0m7@Z}8H`huMZt@|Eu zYG!Mtzppgn&_1!oSU^ttT!I4gtO!VakMYdR2AY31bj0`TVyz=oDR2~$NRkvIWALXHYnOvsC+?h(#h#*pU=0#xA%S%x3|w~ zqmT&2)X~JWA+@uuSfnxWbOSVOVYcHgA>XE+;n&Blzs(M4@wBGb3SUica{PSlGZNz) z(;M;Y5V>3A*Cl(UV8C-!>>sQ=$F2eB_cU^hm<;N+#AMP{t9_#w!k0AG>Nz`fs`KpX zcS2*QXJQVXYdM{B2nGSy(5x+R8{!~G?ztCk3nIc7iQaShN_HA4DY5PzEAD|80sJ;vw8yHS`{sC_311OaxiAnomvrerhd8d9S{8n@ zDNd^9QlCbgD2*fkLLr{dEnR(KODM?At!HZbOKJc`Q7oP0ocV8?50*VEP6=A{<#hRX z0K?`Y2oGGI_k?AdOddWUq=mR^rOPl$2^HJC_r=1HaNw2ftQ1n>U_kXdcXNIBl{LIZ z#wgP7IAutlm`tyIc)piAg1mI4Nyv1UfoCaq_Qc?T;B$X|<^;3u$5_gEk=gCajB-f! z4|`|JAc_R+O|cU^8%*fWM3B9C=cFp!T&u%qoK!MFK@o)Ed*r=nx$}!6*lt=BQ9Ebl zf#j+(DSWhk0Xf~CYiM>={R094hlf+`V;$}jw>DCk(9SzP?Hn?D?=qR$zjUTHPo zS_u_4KXqh9H?ty#%moH|rLwbe4KoN*>?$u0rkyhR*}Dz`x1_eCL+HNDx!>Hq`8*-N z4v&$XhbEB~($hvVU;iL{l+xOxR zbc~!Em-6lnJGIq%MAbT!bQQnyat1JZ@b|>|KuAw4Tl;6_LdqA$gdLMrY4YM z1{hp)<3&M082gasU)|=-SpIha=5zaM;39{7q!o&Mzs|$P)phIZiam!G-UzW$F6MzR zt}?_Y5XLIV)!!%RtI)5+&O=DDmY_i}3X%#&;R;hMTy`10&E5DWf_qv=h)Ve~Lcnfm(&=LUy} z2JyMH0g-t?iZ&NLsfxYCdiDgx6$a-4X$}|7e2MZC-#Sz{&mc?<#;8q@Y`UO%WgGvi zWIg@6EPC=1`d4HyfoEo#qq%e-VL1nClsfH>wVbFZR8%w|TouqIU<@K{iq}%oTN)>e ztPZpP@rkbTPISC5H< z#>T$BJ)#mnF_NKjaK|=|!r_*AaPR&Z}d1rMG^6A1%KHVQTJQl0YR6JZm z&(4L(gAg}Y@%=?ZJ|VIZgEGA3yzm?LZN)TYK96lH`WKHFZR<005qke+POe0hvv|(gIr+TN$^qbR#K@_+a z0Lubjy!Qi`qFvgZ<%0i*>yvp<;9T{ZC|dHFJQMj} z_Jqblm(oXSSx!m%_Z8L+la0|Sw4e7|-pm*#SC|y?uq;x%XS<2p2`)jc`>D3qKl^wR zf>B%*SI6Pm@fmNxeFY({usfitG!gQB3tl3ed}vcEtBU03)bWbL%dtZng1&3T;H3gF zb=*&7tMl(>s1AqgFcIWGos;}-pKo%f2GGboeFvA_>BhwCLh}21B8v#TU5{ZJy*L=_ zlQk~2C|UFHTd-U*0-Fy}2P9H^+tga4NkTK}Pi)_|E$UI#eSJY&-{(xucWPBP>SiR1 z)3ITyJ8@$UlHqe?!A66LHJK==V0D^Yh#xh3Zg_v&p0!uiCh2gxU;OENDpv&a`?Uf-unp6JA@X_LZ&CW$xtC=|c~9-_g-HXwcK@wCvtXu>7-8FMing z_81O1vU?&L%fS7Kh%Ipc_4Uoa?9jYYIdvqtM5HF+*zpmxEPN7P5rmflg{;j<vU>@nle?evA`7}3WlPLa zw2cgZj1LRn+Don2j-w2#BDy4tgUs z|LNChqDl%AbE+_La@?_%wUbNB*N;iK zpKD$!b5^|M#8vU`mk)@zG$Y2tpV$X35_&%WI?1UBPg}3;K~%#Mq)EBBKqS|!UOdI;8Y6c*UL}VOT=Nc&o^-*dEY=qT>tZO zC;Qr5rPIucm*o+Ao<#;KvK}NIva#+ST#!KVG=w&hFtNCw-mNi2W<)S3#;P=QdB7Ix zey}NTnMEv|$gJnM?@1P1F($UK;Hc-$2NUfT@)laF-{5L!&*P$3$#;*W{dZphg)K5+Rjlk!>_epspzaLdf*%MSoEcS&SX?e1(R}rIcV?W#^xBR8 z@=)Js(JCO~e-H<)6t6gF!p*HzJbk%feQh5YmT9wok5P3xmGth~H6|p-*Ul6=BVf1kdL&)ZoWZ*e`Q;e@l7BiPAP-?`{;D z+7|#r{Ubu(^;fS3OQ<5u1cdK5ZnjrIr_VD%Wp)gDd}-XLmSUwrEpS2eZYyX^4PN&P ziwZVV7`T`jiyk4o9JzWz7gfjqzzym*Ee~gL6gwz zZ{9H;)1$iPb$W&8$B33FbnSmstX=2?bqg3TzM^Dtd~d}EUK94_pN_bsPsr?P(}(9% z1Ut4GV1~qs!xH0b(|V3A=aT~~(?E0XS8)bQnW$2YYT)N%Cua3NWfadi1--h|;o^G_ zhxnhHoK4GGrqgx_GxC(V?}Cl)rLzYWPArq~S+@(iDQN7M$DVcYpc-uI8X6j8*XQ+8 z7Hu0XI5R+DEVg*trEh2$pxtO&Q(G&77h+te2?$aISRZwXugC{;ejl_bti)*E~eBAd?fT$`fhz@ z=jJpuH8((r&bDJSJi!`1tMTAgXg&h3-ftQO;@)e~#j2QM`ozpI&(;B%_MT0xK&OG? zrW&1s{dr@#z!}dBStP3;5h6o1;YQLdgny1bEff!Y4dTC*5vnNoq|fAd6M79By8asV z4`;EpV?Te2Rc7qjmh$D!zCb63p=9yi9fe#+XP7!}V|&^PwNG#L%S5GF#(`4)``;K2 zMKC12>?dfshkxL(X=KqQ5+NCwpxalGD39;a=J+HN;_8Va5h93_A*klJ3A;YL)3OZ% z#X1TrmFNQtpO&#joirXzWD-Q;do$6SI8kC$pgzDj%8I zL6Ja&ci){ywwWu)oFE4`%KuPot7g-xaMHe3v1l?X4r(^(4OT``!{ zYd1OF9rs+sP>m(s3u=V8uA2Vny&)|i*pC2BUB_}&0wX{{J!T5Q(^(`%Z+klY6J>mW zZ2>)fOTOcB+Pa~Y!$4{Thvw!Pi7!uOMAT;1XH-?;DHYV$jg%T{H`{p@vw-Qow+z>o zpcc|ZOzT)Li(nv9@rV9>Z>=hcAk6fRmhRx*3tiG!CEfXZ6_30+mo6=(&Hu|xd8A?U9&t*loF(x|N@%h08_@C=X_SQ1Q zQv$=41fYe_Q(OnZFgop?*lV}I&j*1FxQzkUamunDp$C2GbJB`hxj1!#@Jem}4WSxu z7HUhC(Gn*R&rIwAS6&hX+@*zVu6W9K;O3u!iRt|S3$XpRAOP_*0RAhVAwa--E?WSK zclQ(Db<3~j{_uqV_o;@HNX!?1W-((+r_^bx5m`d9w?--yQi4JHfI=;C@ykoVDhd_) z?(RK2H?QiB*_>USmQ~&C@x?!N#;s6`+DG4wZ)1dZwZ1Qp0Qq0)-1&F<{LXA5dxvoC z4vq;}mWMtoBR8W-lS>Y>%2G? zx}xX7ml~NBh~dYHUl+KcS4(r7>hs z@ym~5EjC7gZ2=LCbvvGBQSoWwOS{I3s<5I;nvR5b(sF(F%vez{(let5WpGNE4kMLQ z-=RO_nl=5^BTwdAA?Pzhb2{{UWzu+_PFc7+$)L3TW=I(6eZp?^_2rJyK@^w1Q{b5e zR5x@Q7FpY@NK?l$=AM?dd?L@~6B|Vq2+)(AZ^lwp3xBQ)GZE2i8Rk@}c{11@lxT9`;H zW0?mMTMSw1bHObI3aj`DF$s8ltgNgcWE$ij6-)t*7BvkGyrB%Fgu@!-tgDuWBuU{pNyG?ovvB$K5Q#9}Ar zaBT3;N7&>RR>cP84oIj*CM{g}izN}UoH#QoiSHx(>ITr(L#J}D3-@5b-=Hk`Dt}zo z?qh7d^C3}+R!L}{MdUUcxLe330W)EyjlEU706KSwH~S=3Qb1fD?!7U))7qnph~3Zq zwdf)O@W0H$q6djpn#Lifqtb(HQj?iQz?%p2GhX9NVI>VmM`*p*=4f8j+fZ{0v}hd_ zv2)UXcQbn_mz?^%m$Rk>+lpJJ$bBfcKJez%;9L~~)X%01S1slud6v5#59`7*6478T zZS>5*lOD|1e!DKzFkGk$fvH?|wVE#zCV#Jz7u$Zsp&ayE&85mkEfjhnHij~$?RO1- zwV@#J!3Ex=bN>Lf1~z7`%Gq4;LMA<+=*_29p~q&_Yilxsz@CJW0?BR&Sy>rSy5&rO z#tI^@6v>vrnUyEM&Kwo8XtwWz1z_?(>Or7VvM<%~OgRV<{O?xBeHDm&g-s>UVcu>4 zSud!7zz2;xx=wT-^!mWZTU{czy0tqnxQY@hpvtQ?HMB_&T$j3d?x)LO^*JwpqcJT* zh*SGT9bUKvtAfM_8@6!HigbkH*dR@3cKKm1ddk(u_i0vMi{G#O4LypK@9sQ1Q#PLr zL@>qzk1~9_F2^fQUGJIh_1W)s%@H_?cAQ7qoi$JRob-6Gge<49Ic<5rKDn@~8niD^ z86Dgih-FgBsZB$*R+#);-H(@YRlOrlt2mqOCYUiq9pFrZ(2>Tn^D#EWHPneIAtPj` z5*KNW{&9WVtHxhRB7vv91usf$i>$k~?a!ju2^1>h`TriUSWEGWt>}}yA2j19QW+}d zJTA^ClO6Ulsg3YeE;Sdc6aRn<5ur!DsX6=mBzWw)OTZ|66Tb5iYDsV>p(wj8>kk zUZX__zbR`H5el1+V@qH9oTuaxukm0(w4HMHtTOi8SI4$xmlnmFxxF?!XZiJ0=TJ(Uli z5$UKx(MTlbTtEsv5W~gROyRPD19@=1R#VdjbfrqFF6yQdg613u(5v2;WB#eNSuYw9 z`LvISLXT0W$YAP=iT;@W)M1-<4y9G+{Tu|=;SqYKJ7+{x*Y&UB$pgpo^MW{Wx-wgt5L^A zQuSF8FfOn5y)M7Sstxt#1{V@f-KBwTzBb{}grrb3Rt^vA+|3_TLJ~2;ghb~f>{1VB zW)lrek~~bO52PDSs|G>a>3uDpMv8rhMU>H#K(Vh~-|_g7_D!|`?-;;OlcG#hEXhV@ zmI%S}#A0P+9j-&fwf@^2gAAbVaU3Ww$3;kg`G_0x3Q7@aOeJ}EHHm&zAbZ?txDY<| z^e>gZ2TmkG-4WV*5^hfFkSbc*|4uGO+Ib~29js^8Exm%Js6TxX2ttRJ<@l)*xHs_mJa9&~ z!c%@&!u97r1I($jRuzWO($UouD!R2abT;t%dPRMxC;z#^^I$dDoD#+^Oq8GbkSsO8 zQxH}i<mFrirLZE+Jnt^Chd9AvcurR8x(8Yr+^C(md- z=pX=vjqNe|?3k+q{Iy~SQsNUf`kX8zx^E}GZv8fQ7yw)+g`8-?_A#ov8dg``fLSU5 zoxP7mV8IuPikT${>UU_&r%y_q@oluNu!^$J5P zt~!582-VcEWA0QovdtH1-E-9c)qA}oKYK_t96h$|9&YuY729l$T$IEBg%v)Q6OLp_ znaz=zQ0d97{mD*QDi1Im7UQcd6aQFr@T{tjE( zvx+fD=!*)wYYT)Nz{)JermP92_IWjf5lguk&f&%Z0U~0fWlOy(990c!N11QPMi*2z~l@^eBmk({v#0(->%70&v(-R=B4AR82 zY^lZZm?eIN@O6!y@TzN#z(}LL+rCDIUD*X$7It4`XfE)U3Jl!_V`HGvDt}LX9X)F4 zFnZIWE@aA?u@a{~MZyJQsyocE4+FQ|uCmBL_&XHut^5p$G8phSUx zS=oL|w29_?13$X3iYjm&Qc*2ZD`x?to4v;siKq+@ULcEnf^DO0>q@Z-eI6|$FbwnF z<69#`?(t^^0)l}Wqk(;AUcQ^x!8i)QPBM%vdhN~od7BN!lErX|6knWP+eY{}H*hIBOQ^dk=4f3!Jky6#TyAl)Akz+@ zSUELBosRncsZtEQ0N7EA`Tho}xle5xNN^0l|zKMf@m1wtkiY7QF1?53oMWrwh-FPDgn=KCJEyLJQNrFEb_9{b9_JkTbjIKtUp2`1yN4HdR4dlf&I)V=<}102kGlc(yg0(9m@+e48@Fpn$#5OSq5pgffh>2!?Y`@wh+j83wxzI*dt1@= z*ncenOj%UKTK)xUK>4>2XtLzy}4QqQ|4#GAF7#oc!tv0%v_KC{JeMe@c*~S0vPg>lXXZdi$RhKd^Z5>;2Buap&KTBYF~(XZ5t1 zCOTR@oAz~;GRz27L52HM8eFjL02&3TLdzPZz!ve?JWljIMIc;`p=}A@er2#KKspxE zoetCqcdY}pT0@UQ_shCH3)rxLa6dD$@B3bK@pxvvCw&l6_WHVpN6J#kzXu)NMSY8c z@ZvH^T7|uSMNn0l3R1JKrqG(8Usk+P-PCcuO;iW4mbFe;BK!#0N|?$07E%8#vYr@G zoYoALQLpdwEsC1^wu-Ed8f6`)wEeyiCb{$HneX%I{w<*+UEf6|Mj_Bc+G9&?3vJ?k zg9eLKn3M*Pn(f&);gxtW(ue7v2Xy}a<;gpQxc2Y&zu}qLR;Qk*UAD6C=nzs<5PWZx zhCYP%Wx->VuuOvQO2hTY+wb}#W$X+?apTPw=*r2hj7C2ZN(uo1M=b3nM7stK)Ln_@ z1x=&g;nVrfm%DKQy9^U=@x>7Mlhk?w(+FJK4cAW<6+>NL*dj?FeLq7`uLqJs)z&q% zwU?6I9Jo$7NiT&j_z;7y=%+R}$qn#M>}`bTzX4AI8?E|hiR|DE$ zorsb!LKj-}tN3R_Zp>i?Va_CTSj+oCcZaEm#+4o?V5S=G{aXcs24GQcNjoF&xxTKZqxbNeU&<>?Cr z9YpRr28~2^5+rGh^p*h&@o9?W8Ds5Xw(+iV?crm`SuoRCeYH=N_sa|2nL~W8HHR*W z$1AgQ)YkNjZosT707$$9Thl}2Oh2l?q}W!nbt>-#mqa6{t2a#VH>I{nVA1^i=Z+!r z?Hg%C9Of^B`F#rUSypZ@^Udr6@~G$$x38Uuh1hk{@n;E*c1~99T}+wTqH6_IRSPad zS{7Eawg23wRDx|W-&4IqxN*rtxj#EgK+q>OJqgXTbS8h@^UVf*sriqvuU4mj=^>Ug zp*ZcGgA|+dkR^2|r%SZms%MnzU(qjEa;lQCybPYw0pwVQpfg$!gIGX4tk@ZOXYs!8 zq6ES*0dZt@^E!6bPLy23Q762@5ENoNrhM*V{nX5Arrg+uZ0pw-Od;XMSk{eGt}1&5 zLGh_U>vmT}pfUjE?L(!>CM6tMtdw(H^eHGrB=@I1YL#OnelG;Jb2Qq6`g;r_f}7W; zy1$2YcHVd1uv{det^P}+98$}Dh(-GjUdsNS(eigU!q|IK=-=QXtgpPfLk1|F7pzf( zkf+&MkOOTS`376}_sp+)_+9wh>A{o9-eVCE_zXy2fEYJ7^ZXZFL6k2c81(Da|GhW{ z2y0_T4$n7NWb@*Bu1Nu!n(~Y5J)$*_MEA*xWVC?1N!D!# zH^2pV`*H%Z=0cvtf)cBb4`eCb*F9ZHDs)uERZ|Xc0pHMkbpHSxUS6Nq_Kp|oyq}N0 z?xpzMr?{$oW6>vd|EMwfMVNvW2s3jSf+Prv?!7(0+wyQ*PJcIu@hI4?^OCxvXVSA z`s#PHv3~|v$PZl8?$t3=aK?s<(OO(a7ysx5zrW0D7XjtoUMaY?+}4F@lhSnO)8YTu z0(7CD+TuG=3Ig}{rd3U&yjFj){CGIOH7JJ@j(;kaWSTU8T6+_?EpPHBHfS|pU+c}G#J2y5+FBs>}@C{`SXTeH}I9PV_-cuqw zgVuYfQ&++Yjw|KMd6Qmcu*c9cM*Mm~7@G9L8*u z)m&F6N0QMyenNuHy#2h9mz45wk9WJ-jxczP1O*_hUI)37>8@KJh7l2&A#J<%z9>R2 zSM~}ix&znNit6ew)pPLBf#?A`jG=&yrB0%h2JkI7L5`=q>zDvuC}1NkP^6s%x6IbE zSmJ>`M=?KsXGtV>?AOd4?RXGdSy_3#SOcjRxRbm9ZpQXE#|vE=69wZp70JHxRp^GX zGxq8iVe9zp}tVLmU`toTg z70za^WM;`HsZwh+z8-mzKS%VvNj`Vp%B98aCnz03{bH?UvUKYbMcT9LYQHSM=jvAu zkipP7cKUL1`p2>;$;|+A3B*tx*9o$q3H=_@h)i~j#H#HL-yTT8xw|C!YHU$(Puzhh zN}OmlQm;!v3ss~Ol40etY3%m4ORhdFu{7%uK)PAk3Uest&N>WV3T7_3Iru*Nx|83> zbzh6lYU^h5bE7*f&U$j`2Y~8y&-(vG>5e)He z0>vReuE34NEd)1o)cC{c!~L*nv>AQq-JieHqsH{TlojqMjE%OJCEu&Yg^cvI6Q)YztiLy8U)qZmxsWTys|I2{wO7zpUY-ynHf+M0*QQrf&dSmLHL$CY1vgUpjVkS zezsQ0w(FHFSOZ`212D(K$5rMkz0mxg`%IMhS=3mN}H`2E08hpXWmK88&n z74Z$+&l7nF!gDC8RXEHp*mN61q6yv)f621>9M(HJnHx;67r>7` z7;JhRcprCvY_pjkX5o7;{l)*dJE#FC=z7C8!FQPYIITJbcKbk3Zt9d7N)*|9lWZAMl!Uh)yBO=KVBe z+8Sze7@0!UO>0^hyR#f;q4zY;LM@4Sdb^8u&*MQZD9z?9eN(D!6UwN$l5e@<_vu_X zEIu`bv#NG}$+*`UuMQEf?DNWLJeRUtW9ea}HY{}|x#mo-qDwxvi~9G<0R)rCN`fCE zimbJep%_r{#s}y_2aoXk8yeiG`MM9fk%3rGN(P*6sjzbfpe`nl7_w?hU?6gIj)=Gg zlD=!6(%oy&?pZ4P(H`i%Js`hIH#fnwo_O-_%59jZDy#Fn!&b6!W^1SOi7u^8-lHw3 zA&I0ggEuK0)3kqk!0&~Al^EAEq|NWsFA93J_?UA&c;nTTW##HQf9JRgT11c}b94s=s4gWvFG8Q4W7i?H{=OJ$PH7q48ZjnZbF?t$^GSi&jZ940kD)dLIh~PU37!c zDW$tXKx_)5?*En8^%*)aM}zDHxB@hvshxuLVRssDbj^=w-Fzs0K-5>z`&TNi=tH9` ztTdcbWL2q`o=>o|&bE3s&$wqD8=g`rj^kV5P2q!9o)_R`7U6f3(b+fTG;zN6^xe;6 z;=RC^Iodt8r@KGUeVM@t_1>$CFw|=$C>#`GB`jt~;VTPHJ z(tSgyRtAFI#&TJJScfG`u3JXFWoe7Ps!Ty;CW$G{4 zOnNz|Jdf|0rg75@LFg7Aq$fqyRRq59H<)qnPxSoL10ES&cMXewm)dz7il?KnAY=Mu z`x^rXQZfwh5nJRxT!n4Y+K8O<89OJa?UR{^uN)HeI~ zh_s$5224t)W_r+mI68wX4{3jUn`Mc~NXUn_#R-!iga}klnhY~0%-I;Gp;NQK*FEkL z`(Qcn5%*1beNPN2nl5!A-al{4R@e_U54nk!kg?U(6M-@{J-y6)X&Sw_R^9zf;=VpW zbaCQt4jYX|L3(*2ZV9yc%*Y^F8OSD=8i39RnD60*l;&H3ATZ#Z0T}N@%mD|u0;+3I zqKV7Yv^0=nh!+CBn!b_(J#`ZTd_Ua(A#pvkqyY6k2tGIb0IAM7nj+aKov{R7en5=T z@b9*F>Vo!M&!oO>={Pb}+#C$RJ^GfE6FcGwV`?$V;}S|RdVmCR2kY@DKP-~GYAUVZ zooZ9j7&VXrP4BmGH}svS(Hj*(8fOWDf-O2O1fQy())iivUJg<^e+xcWzkJ&hxYm@> zOpx#i^ehNZ8nV~7B#@tDX2%xC078XRe8(nS)&ue_s#s!?%5SV8=p-mdr;lSb2lPOB z2$nPNemU(v9TKLnyWoV|7jJfF&@0ZfZx1L;A|rRnT44Ub7DY@d1PqcDl%uanozj+( zst6U|PBoNGCvbxB@)zB&L`l+b@tFc6F%I!)DPmTz=W^i5V9fTY?>B-y5EuT|BuGiu zZ5iV8!VjGI#C8BIsSb`PRGB`jNyriW00&t@fcNfeR^J*?Yfi3H$PRfGEEIj5B`)9 zK2$t@Y{?s#I7FgUR%UPE);5&qx;Wnot4%8~+(s}S4ev(&l7^Wzx#d-kd%rv{tyekm z<&rNjQb2Yl+@#y4F}mo`nIZ>c+F;zH4Psqf^gbA)pI<9BpSl0%=}NrHSDUjNt2xc~ z=4f>2G^ybPs%W2M=9z=X7@-w+qcQ^Srgi<0@zW_1{8I}IY7Ouzs;W*9yN|zfxG{MH ziIE}}>{3Is?=vp|s<@-!^9p^sN~RBT%jl!GKDj1U`{bEErNyxUm6Mgv@FK7Q@f&g}?wS zp$7ShS)`1bM&MP!-gM&3?}h30{o3nI4vWAo%;D^y2Kls3p@QHm59Un%j7xKE(`Pa( z2mN1nLf^+JGeg&@&@l@`kVO?E^aWxR1yY5!B-6ZSH-k%JF8Z%c)Ch@$lpSipH-lm4 zY4!5&DHh#(<1#j9U6;&c>A z4q>=|#4C6MCu7L|#=*~{h9iFs-6xmAMjt#g%N_rAFCB!Zmbe;IYUw|bnYJ}{j}6c! zAy(Coj=Sr3UTWv`Cf}}J;Edmj@nE-Y!W!R6@bXbz2%+XTl0JM;loS?>MrQIq{m^HwBo)O06b3^8xeY_@&qp0_EL7sZ17*)#JQ5`%@uOW*JcS5!`G0;8`F#e624!j z6Dd`dXTyzO2gWs3s7FeFlTo!NkHow@k9@jc_%fQc@KJ_RTEwQPt5UYH`R>n>N{KA^ z7*<&@KT&Xc-joHh)1816v8DgplWik!boKUAy+X@$PIDf*lo61#RG0|RQUv6Gp?+G) z;+z@c)4znRWY(fs02sP!N)WWeJsv&a1~FqMaC*2pAVNCtSkJd0sH>|3e`LF!r0R@+ z0!0Kl@O1|#R-4;H2{9{S|An%H(Vb6kuGK*|1%xT{`?=m~DCa!3bAih&;GOtC#48Hq zac^;hNL@t+oLelN)$fYS0CZEc{<62Q1@C@%hNTp*f3WD~$$IiYwpU%vtTmcv%Og^o zEL^_l@bbXQ^vNU0YD}JhD8;*f^X|)p{oNg1$F*ID%$!eP!Ja^$d3_i(14H#i)azpm z&vQ8LpeX}DUe{jF}SLxG| zaeqZpZ=}*Oe?XmK_ZhptiKhzk98jV*f!>%9B6{QER{nQOs8e@4P-Mx`SvvQJnUryN zZN@H#yoPu_rOnQvIPt*6mfRA>-yTNIv0i0oIdM_w5+pXA(<)_FN50-D0TF~UwQQ>_ z)#$wvxT-|L6&FNL&#rn)TzB6q%Ieu&&0B5lG_`n`@B+=JgysqRd5@>eu4ze{ri+9l zcYYG9m~-^bJ&GXxhxyf4)0Rr&YM;GNMN`lZoOvn;!VR%q!|843J&m-{*t9l;!4?%< z_o1(+*o>W?S$ZQTJN@)rOpLks1V(iQnJ-uG`A*Q#;V{&0p6wj*9YaI)*6&E0mrxXG zvF4YTdmC(k>JoTp0qSat-p4ICpLW}kCxG-nA?7kxSs8Fc2rerNlv#MrcB}Rd`4{lr zA|0e!26?uRFD?@NbM=~BjGx#8HrUHX&F;R9njZxfTqPQpc0e{7@J;~58OY{H1zcKn z0mKHLyvFQjj%PiQ5g;DL1}NuVJITzvwTtkuf76s%!Biio3$T1M9iS42`F?0yG4S2QF_x>V)1Ch>9z`$qAs8E2Sn60ZAD^d2*~+z*4NRr*i8vz-rh$9-?M zy}kH|kvVSCY}*Ya%EgVc_-zWJVecwM|W7 zCYnJTE2RT&^B;0HY`Xw61uP3@4zoz}Xd{TN%zn3yS$dQ#;DfN}jc!&wK*6Od1bsP?`ywTmPs5ee%ya3>~S3kUKv% zhay=ADr-h`C1u9?st6`I+be!V%Y<30wJ@fzH{Ek9GwGsZ94*fzn(%S4CfS3HMopmDRF!e1T5EZG(>ChRMl4%q zdC6({N$aX-%-#@*g3I-l^MpNjo7o`}yOf%$db{^pN%`TePlx2!gcPW-t_OpkdWF=K z`MUA}KRT#CMB@EWOd#8!m%)#{t1qau9)>3mYanamCtYJWOA$J;+#KVDo1&+03wP`Y zFktd_FWG+Ay>NvrNVi65z}wT=*(~N?J4dd9`Ied4ozpEdXor<(Ej|BD$-c`O2CZ$c^{>Zn~=GT=OJodV6qIOr$JioP@S{m3bCnN9Y z(~jOnKEjH&_Rn}?smWcNbpt%UzR|`vFUeD58QO)bMZr{Gq-uPfGQM}-v5O#7wR6I#+?LPVy)$*yWJ8*+JiJ!Gb5uwQUqu0 zMD*S*2jEh?wZ%(mZDtlqity9MOJl|o5AMH;nJkVM0_Ka+ac)G(9k#Zwk9`RNw+S;B zdUb5z3s9+s)WaOI-M?xC3=@B-&<7bvl}zU?SjP_;3nVHo-x5YVG(mb06i^WlxG{qv z=mcJP3N-VjoYFKp)R)q>HYstKEj}dE4j9nnbO#;+!gy21?u#Vhx%ZB zjg@Wxx|<#FeeyblMl=(&NB@FW{(_xVLdvS2^@a_p47zFYJ5!|apgtnDO@23akk7*w zuZ;pj5JwE69Z{P+9&N3VQUa0$YCZw!FU-&`eR?nSf8VSvkw)zAupe^DBB^EM5UPYE z$+kL!4RY{0l9e&BtIWw6nvnbPQrU!%x6`TRjnRH$NI;7Iq<>HhD8w*2#gFnq;^GJ+=r$;cgu0aoN_pegiuiT~as4tz>Np>vWr%CN)myt6Qn*{FYPj)8B!>Wwo>h}pLcE<4A^ zn|}sSKq-rN;Qa9IqWiK9o--3t)P2WY<|tU{{ZT+!fnt z%li416{<8j-}SsE5;5AtEqi2&PnuGFy5r*t7vr9BBD~R7+II#)(8Z2)u2vs;^@M6> zO??_eObFzRmBqUCZJa_?s73o-&b<@#>O=(rnBozTE6qt9=lnaF3@IU@0!x%p?s+YB zoLr*>J*23PFke;PnwIdao=Gno3L~G8yB}`#vFkB5Ztlg)3Bo@Z{X#9kiuXnTbHO%h zm_yLdUpu{0-ynhdu*RxriO&8o^9ugf`%7ayKK$bE@)0MYE(;qxy#i~7;V5*CxNMZ>K|h_!Ms&=#pLgp_uag~ z5y^^5_>s`*z2<0AaHZ9{Dk1Cf)E^^}Q+IPUi;!jy{I5&%=g@3^QeXQSL3io5M+(o2 zT>FJZJmZ8Ipg@1_6eN{r&7I|FE>8E1`hkG_Hgfy-W}+~HHk#f>1ht76G?@e;QVgOf zp118Wr3GLA*e+*Y1Udp%gwp~~tt&(j(E^Tl|ML5mS!(p2#%bdH&F&Fi_iuE#FEtFX zT;VJ~Q+gS2-?FIaLSRd=5c`a+*Zwf4;B84bWrVEpPoC6|z$2zIp*4xpw#w zqn6nGr9*=SNqFtsR-cB`V`ZHWmwT^Ex8dZ{76k$E7mBgw3>aIz(*x!+yvG$-2lf1( zm5e!$+FuP#9WLHda1rcK3qEh<6kr+CIEju_&HcOVcU#M^)!b>W7QD=hgLLd&UgYSI zpNUZKqP;&~8WHa%-Mn0T8kH=g-m?BhV?G}L8J^hIVa64k;!i`Hl z6Ecx81@yPlJ%K8$26%tK>sweLOBk}>8O8?Vrvct(i)39#u?47&KW#D&4lEe;p7h^t z6LVl)JMe{IWXpYO>0JDq{o99J7$cgTH`o}Bhnbn??DVL9Z$z)tJryH;TLpfA6_ zAqj`R0+sZqC-UNVXGQzfZcW$tiA|#A+uTvQpvz6sdb-H77t)}2Crtav-_PJ=P+d32 zrgN)APA7gH=b%dk9_;J7;~giS{+q-nrIdP`&x?=+8+aJV^JXK2`olJ-v!&FYxV&eO zto|tUj=y6;r5_Wx0~EXv!hTX$n)P^2wI}M<_B0pIs}K*mOq)V|mV`2({QVqaD<7@~ zm!AbaZ`RcbvvP_Yh6I;JPyK^jOt*3r{akp)9wsQ4A?v)>ZACSAPUTmAIC3*gt-rG# zly$605Kka$1}Tky6?I>J(i{Bb=~-$$am^Aqu_2pS>_nC~-9nms7&p^lXiX;D(*AVF zjK+H&^!)PmYt$;313zh-N+~k5(}iP*s{L_c{|5XYqOLNi$}U=qAl)I|h=6o=w=_tH zbc1v^9J;$CB&9*Rq@_W+OS-$^?(fdrxikDA=ge^4z4ltqdV-O5xDe+iEgEs8--#x7 zv)G8@!y!Q9DatK55LI^ZIPk%16j$r+I&!IVQ=c+1&N>#pg34 z<=xTj?h_CkTfAntVDnJW<>qWtq?K3?eKSAyh~&4{)-G1OYWgI2-Mm%z&Q;^HTBCK; zc)M5MNoe?_K|hAOCdcoU)_Ks49-W;0J-r21#DM>7W@Z+rf*IMD_Wir$>OkZz*@u29 zz2wJ&4PQF^@k>Z!X3^lke^jFIi^rS*yPaY`1(vpjz06UMKkZgyE4JDp`M!9Z2~r4V z#D>A4A-MO>Vx$AVP-j;0A?wpe+#k)IEiB5GcE^2RQ0aYD{V|vCkY?Q&i8I*=z#;&l-=~yGjwV&8uk~3v^PfbDZ5}Kqp!1@siw;RP|R|iIf zxD*Dx$Kf(VXgL<{HuQn4hpkD2Xq2 zLUk6juge>9qF^TsQz7W!lCRJYuc!|~a2Xa$GTNsxNE#Y`Ly*;IjoIHFMgb8}e2W?R z!5#8){>}k>(5=Jet3J0?B3A>RTn1{_XV$&Hv*s!o3=yLAuE=aq)rdY+z>4}`f`_sc zTKR{mS|`d0Q#522?Tu`yNJN|)>Wg%$K0OXzl%t%Q5bI(2W16tHY3i}Vv^ z4>;%&&?^JIzjUVfU>KUPmlCvvQ;2ep`>7RQ)dbsW%Jq@z+Uwu)J$=2UD`IvxJfhNB zA<)r}7M5(A(loD7-Sl>i8INIbq~Ph&xpuLuZ;;VMrTrB1rX^kxEENdHFLhtOrN|CN zoDZ{&t6XH1JIh{)=0s(FtzqtRr@suC+ZMD;OCvS5p;okQRPeQW^>oV=uxodPBmZi{ zIX>MDQ)C&JGZvpSQtMzHI-0peubU<`5mgU|FGD}at7NcL{>%MdCw1@E8?zKomX4qh zHuWW6mN)g^W#`M=^zI-oLAuN@U@wk!OO6|iZt{_J+4mWBV0<($$;jF=wQzX&*H7Lw z&h+TZX{3*!$BnjZZ)A2a#QtngpNQ{w7W(h#;{Uh+4*jYuDQo(K7(_YhMD>xxkpNuM z25Dp7Yvw*a*|_@d0i~t1fn@F`;F;I@@0q7bj#7!ZzIMr{0j}JDeI4pS2!u*N0RZeo zK~pTX^Am`c_(_CJWDcBpbz5Dd)yqP5J;W#qbQu#Bikra&(YnaH`kBUxH~U4&hU%0f z%_SHEm>EYkspuFtt4-C8^ zp16%ING*&Dw$0atpw{Ih1{IVyx-Cu%zZYX)GVn4MQ=FF81 zA9-E}BoQeTQG0N@5gmT#l_W<_s_pWV$3p*EFbMx6WNiAZeo@jRNbkV`{m}DUw5#xO zzA3KNSrmB*%2((xF_VCnN(OjoVoci2ug%cOidto2<%#|iD1<|V$aR)+KDMUJ{q>j@ z;MHl>e!Z(LA56s{!KeF~`;=o@`v$68d|{lT+$q$RJ)}CW7Vd>`!VmhaOK!iw_{{^f zi{uv_nW(qb?|#Bs5wor{$VF(@&@!sJuut`;_$d1)@HRx3Vss>{h0}lh!6Ry zhei7nx<9I+RJ;R~z5crhUit>hCu41$&7(T_^Y!sP3=(1$8GYKdZjNJegw8kubH?~$ z{5|TbmNi2b4jvnB55~^lHWcH>vy6Q0yt#k)Wb_GydYmcz3~IZvVW-ZCrcOnhqRv(g zwW*n27BAagRvKw+)vEOfm+G4?cj($(W6u}f78`K${A!<%8NJ%XzE(*zE0nL=j{ifV zrgGKlLq9+zluV3?q2D+@?B|G()NSomuD2vCiCBmYA(zHcx$>$yn|leW5}X*StyAgs z5vE4+Cv>w=*JdA*2Zt;4n6I?}$+CYJvB%isxz)bL!6|e6`M~Lv_7f!{rDwL_;BwF| zM3YsrZrO8h_qm#x0?_uPj*WCuBm{Fl=FFAr0kIt>8Sv6g!pl)wE=!FMbJ zdYlPc+Ch^9unsAkp-APs%d4BS0?#uVjidM4Zbjp2z9v1Ybr4FAu&fMFEUegJNldoR zJ`38=Se4B@O#J_IUZs($b*hf%ri#}sOe@j6wmDFE=|xpvzSvK76T3 z{r7$;Nb`XC86fKLoHE||;-~Y(^&0Y0d(o5X)pk<^7Sd=JG#-Q^1W`Q1nwIhwLLCPI zhNq9WXk>*!@KP`Xl$1#rLX7&wxbNhe@PpAo0_+qcCf#79aWN$J%aGVRF81ch$5}G0 zt~W+|*2ZY`Foej~Uuh4Qx+xaB9kFj9D~z6vt3k}Dv-x(dVVtlHA>7=%GV%651H=8gA3XS2rO1d2Tfyqo(bX1>t`|u-oGsxoIpQ>knrm9s<6WNvUu5bEL*XoTN0CeZR%+Dgl$m?itWaVTeNqFPAWDA>0CJVC!j7jVhj z@{);viDbRCM*sE+M2+{dk%znE5dP?>#KvaYeY^AEbAoPK7tuO z#>B0?oQE{Llk2YqAKEf7KN<=Y-z+x`RVmL5LfQ7+$f&=d2?jONirHK{BXom6lCT zDbu=G)TX~Pefg35cJmo}P)w+sc}=h07!Q__Z#e2i4@k0Ya4@T}@C``7}_efQPXRlEmXiYdrQ z5k`jr`w#kIiuY5? z=(*Awdub@D?6WpdTaMNzd7&SqC55-KGJ)t>?lLTg3i&c&@PcTUu%aKN(m5!{AFGz| zdFF%NdoEi2)qVr(AIRajm*-YcEF0@Cnd0`gfZgdO;oy~djm=BY!m7Zf+IrVqAuUX%;L6K};2<4Q^H(vF_`kg3(Z#m3dyPjk)OfQOB6i z@a!g6P^FBG>{}PD&x8mMmsgMT+iU&@)DU{1GhyNZ@};ht8Wd%fj>^cCu&&PPG7`Kl zb{AQ>>t`K}m~s(VVk_S6(2)GO-<%}gF$_IaDhZMk#>)aU`=l6zIrKnIthgJ@5(`MFSe0ju_^)V%^=4uCV$<6gTCoj-haIl$4uy5Dzm<`T` z%B`||g1&Lj?ZKp<6;6MN8AZjTqVi><^L`&1A!fu~yK_|!F@hQ1^2-v8ZG*f5@7~<4<(3(s=Pu}2BGYSnr8aM!-5H52KJj{$3c=_) z55qe)67roNE^BhyMNKg^)Oz2ndlDDXjA+3P)~=chWe{wzHOA`?HKW9z!Hqo=`GJ2WO#Iw8&cXl& z4z_dtZQsaih2&KgEGbPnx$Tll4Gg@ix`?m!^1rmn+5HQ|{>}GdqB<~9IFsozIXqpB zmvTZY_|$}d5PgUbG5(}--o@;MMjo$#|Mcrk)9)PkGiCa zoLQJk*-Z3wXLwf6Fxdt*R%{q8`^!G!~^({e90lM&o-CbV=FT1|~{)jT!FecLs z*Am`4_w!S{$h`)8K(5syrb$sfg9QHGEv(-ewCB$n_Bnnel z)*n3F#zgUVnGb0uxX8ExDBY4;Q|S6|4o|wPGUv)S8Fwz|P%0&zRo^`{nMAg~k#$LTJrC zfAio`Kz&|PzLurxCr(JGANJpS_SUiw+V!0KPm^`qBZIV+&sVUHUz3-#R!t9YP~)c$ zm1RQa_SrnVqn@07OE7s5A*Ekx0kC_niY5e|)zOao-&2kj zDCZa~i+#Rr-`u`}#}ag%ASuGji*SlvOH=c!x3{-@dk8x4Hx_XIEL)-OrO{3PK2o`C zhU6}-RZO`s$;Q?er9!2_cI#0vS`xYt``-H{;P6rzp-I{29NtZgR-(^d^_DM9lo@}R zSUSiLZyw^Y*8WFHvI#=+(BQ=(o@=4OSAaxIZ5xzrmFUPOnua)OK?yfgb49tyK*~ud zUMco0nVB9UsL&}k&(eJ96g%5C+^Y&3GQH~0Iv>%DB;;E-;CCyeVd=L1cU!O$8YxF_ zN5_wQK%?W^+?w+hs;r(c{O3>aM%pS9l5mpZXM>`w_L)Vt2I~pMWx>F~9>nM{WyqS+ z$FY_vN^Yhde2Z`lTi@AA!1zNZQfUdfe2dpag#*?Dabw-w{#r{IPA$20t}E7H|2(s^ zGdyWxpDqEROX%Ta;Rb<{?D_F&gU7B}w$Pox-HkzmrCSP%5k>-w3T^D#-HtilClh4~ zlxNcX?h29Y>WS979eyuYY;n;~0ZDLUyE%KFh6a$Mn}aKgoT%)t%krc{njRWqY1Azz zgN5^?f(%KB!gi=(OvZlgca8r3hAI8RD}`S$VU>8V9MQCy418H2=w#xA#Bwd~dIL_y zj#4qk%%PeM?hp85FJ9h$NLGi=`&HYk3q!6{TZv<+QYI^YbofJf5e+|G#PldAH%T;K zx@};*8$;03IYUqX<(1Kp=Y6&$TGiCYGqHpP7}lh6gEbQ;%g|lF^S2*!_yVw;_UZ)~ zeXrlDB4MF<+mXX4OEh9ln2(WYpXV0-MpI~!l!@~ZCl_zo_DPT)X36;u+|FoNPv;?lN2ukR|CsrU?{Q%9Ht+P4@8vDmLX&rbnj^EY zR4Z?z7$jpp>>0M3#sWv=7m68yp$|#a{zun0mZ2m<46DEjff*$T5czukecn=Rx3=zD zNeka?Rxto2Ntina_r3|jcGYznDljB67Lq3uLIagF=?Wd7ZVRszPff_(2CIGie7mEd z@%m{0^ho$L{A!uucQbD7?$amqSXF#?vI9sSZ9 zYeQk9q+cq%S&~f#GhcGL5>RYv=xbEF=t;HG&tR`asLq{~60% zW(h5ag}i*Kpo29<&q`4%%+8lOcV0xD@pR5i>(HWqqcnDo7)e1d_>24E>_vW z^IRCtuylo-^X3?{gUau&rTiDfp~@OWX?{E=*aBk}Ir`V{gDNppzN*} zaiSA$fL$g zqClodsib#0tTzQm&2CvjcJM?Nfp6!maP5KqTrCSAeH?aAPw(|x6|p60-km!~rT5YH zn_a+*)K4?OKKAew_4^XSYt_0YHlfx`6EtOYPU_i(lY|#!wZ~ra4DOHOA zD-{6z0n4CXBbI_Bfc}A19xybx>v;VGvs}{Q4&z^T?c&8_j^B+2IrmuZ;!9`JUan%uKpCqCNoT>bDDmf+735~2A3P$qa0<%W4=t3NHj zf60HtF;i!)(ABPh?{Nvs5XdNmRW5)pq}qGP#jfW#vxYJp$<^XQ@S3oeR&hwxR*oAB z&1yqO{ek|n7pt?ZNJCcG@rveafA(5wwf;iT9R~HNciHXn-u(uecPmGqrtnT{|9uBC zTJWWZ^6y*MRWouPg_^Z);O{Y&m?bN}qOlO)u*ILFv+n4Fqm$NDB+qmu@|#I6Yw4pv zxy0VeBvelKBur?;uMfZZD?jm#VhO7@W}#Qxi%hsr5Lmda-@bIAGU-M+cusEmJ!^b9 zDVKc8?qm_WDS!79b&{d>9GfuHv|*NjNXQpa4eN-%_mx^S4bFzP`+1o%XKMiAnPz>U zkdW%M^wkzt@5TF3o_Yltr&E5}*_}?HCw#j1*_v%st0D{0K2JO_PeqCfHX=MguP-a$ z>9^i70pg>LV=4pWWKIa`$Xh zrn5aWWJ^&f{U4hnLO-$W8fDCUmpdoB$6Yl1>IXV3`J8^o;6Xi#?IRnE3LT8nV!7kf z6MY|-EI=V()_e724|SRxa0h0F;Ct9hPG>>*&eV9e`yQ}`bO<1QS<1nATDJH&*y>)$y7SW2?P z4C-Po)oXUv^bJN1fbJdKI-KSP`~t{NR{}YO!=I)<%g5y8^tm$hn~_FGr3vu#jcih_ zn58m@RqJJnKP2MV@c##Zklr%htfWMs)xN!Q=zkttsL*MIG+-BE*JwuRG7bPLQMIDo z5eA_$wgXTzfG%BzIuXq!8W$J0*?AvR1ReR4xna&X;51JAAu%x#bX6N3B)~@G{Myne2ni^GY24eVUadA;8d-C))^mdKdqNTRB8+eXCQmjknH7jy@ z19NUwlcVo%>ZN7W`Al8gU~>i!gU_$+(y#SHsuTs}cLe#WuxgO~Y;PzIvsq_+GfOq! z4=`&TCpGKpO{ys3pDQ>eKAfX_QJRRF#L4~*=bfJu5dRUH8AhJKLePq0f=(U;PthKv zy#yg-0vYQ_P^>DwSP{N!WC@5>=1QwEHQySBztr*9lnPS%n5jm zRt{UnD7hy-@ZD9q6sDo9?+hMvqweuDPhZ)M zd?l?|->JU-VTGjUPaRu0N|=b8h`JMR@V~Aq?qK-?9=!A*^gmdC+>kc?=AO$CEV(|% zJJx^oK&t=zo+&1q-?0R%`^~OI^?Ria*7YC<5<_CCW#T*QG5_URmvPy=xzDO)JjkDy z!bTkA(=c)oB7)o}JP}0qoKKn+7lIZy>G8&Le>T0HeP^4@ssP0ZV;>kVra2JneS#sV z4eAEenYs^3DR!kHx$>Q|bhqPuUn$bREHtU2&SIM(zCq~ISeao7y1|)#*dk``)a*wk z{nsf7O~ikTZd!Xanvs8K?EY7a0+ml^1o~1-Y9Z+E#Ie7T(!8u7`ejm$3zW!|^e_Nq z!Sy@mAC-;FPTtHb52uL&P~yB6E#?D8`Z;!8aZ&TxHrukV@w<<9iPDEp5q5RM7dmBc zi1_$I*Dm*``G7-l_NTI_QEY(1!xipvw&*^e^If&S`M6;;Ppyp3?B#j$eeTrp-pig% zQ1z>My}K~ZNiPx6Tv3~H-rDuu!>O;SX22s2x@g>pujB3rm~I8n9FC3FY)kKQKM9j+ z@b6_UG(?+f0VXsnOWw1yAs#9M#rS2M3MvBpfCFH9{L-!vW1zZKo%wg^QB+(E_^82# zVO!iSuywlB5fsQhz*lkd*wsM~w-6gxn}Eod-rnB0G~f{0?V<-PYXx`gfR(pa4{{8! zw1Yl$tV-d82X-SyV6OQkDCw@a7a}N8C1L zR&@zTWKseg0IB85$ejLfTmTA){a_NUk1RwHhrX!`0NU3~!Ep*L%x0a<7HmclQMzz& zWRbH}S}d73eV{3Iwx#fgDl)Bc=74nn+f1cwIes&&e#QH~LOVjUJSYlA^TADlX^{$R z^H0Esbo4CkBa@8mMLoCNo=<15lTXY?honE5xZ94Uo^w<~wXfQ?ozIOJ>-%))Z89B6q0b)_Yf5%ek{$70^c8`j=yd{1)x-T`!Lq z)j3-=b4gfJ_X2OxWp&K*S-W{5m^|>6`?_%$g0Ar7+}YoEG>xLb*@di0zz3CTLe4dJ zUaa!b-e??H7aYyU|EnTL23|mwoSd3+@*TV0KL#*bKYei3kd-45vbn9(%QRsG-BtV* z8O$$bJ40>Q25aM1&h&F+5ux9%wtu%Qh2w^bo1XiJ;?~3R!}#ngFWO(Xq?|JZKxY<` z&R<0C{up}7T+baoca88Icc75X48PD)FV+%A!S=oD_HB|17-j=~!%Q=#hvolwJYA zK>?}{KuKAz9c@+@ZoAY}8F|>!v%Uy&@(x=-j0F`7{c!%$v60q$NS+XX>&glF((w1c zz_JhAL694~wOinn0aB7S&$%nq5A(*?{-APnYZvzx4zVJJlOsRTm^ABAZS|rZ)t;cz zT_xPkE3>)=j_MyvuU%B^aN19+OE0nfRnIz%mY;3K88bCYuete<8ti_wO$(CNu~>P3MrF2bCyYa#v2mTQ*?x;MBdZaxERJw%1o?f3H3AX{pErz22Rg zHg}jfU3*IZ*pDB*5{?Q`Vb{heO&UFN)~-Thft56j>zbSkNKs@K#Xpz5=hSH@NJ0N2 z^38#a@?z`-)sXKjEUBBl7wSR`KEQg>=K5zSJgNcYsl+{7a^k}-l{9?lsD5(2UHX5w z`$^@l)a-9Ov9u`~r}s~DU4IS^u{hq42GV8xT6}yUa=gv(nDBJabH7grRgn$FV1uQY zULg62+K+(VE@B-iUNsPqFWn2b(Mai?u%5yBQH4~`!nx;E<*+fmO$xz{>*i1LvHmfo zK!YNkU1yCPo!_s&ziSyBv9zpOT{5<*joIFTt!jhUnE=m~Sicz(d?7PKkUO2E#}83# zN%s{&ziTO>jSIBOgc0g$z0j3p3NHQj5G*&m98%-!2WoRcFHC$HfO9Q%X(4p^frjRE3d%BtwOGG#&~Pz zJ($7%J6>RKAbV&kDn#)``h42F7@^%?y-?owV5P2VC=+M(;oL=g=H_=tSNw_SZ`L4Zu*NAy?=w0VD|_Rkd!Fl*GQ17Ahd^ppJVl_lrH6 zr(^;76_@-8gH)qtm%n35fV1$Si>s?^oQg`>Oj>q!UxTe<^K!LpgMJlS$5-IM;%gF0 zkhkIHQQs!sB~Oe;FRPz8JoBZ4+1In_yC^M!TCelbI^6E6mFn%UB=`97^;nvQIq&y@uH0HxlScJCYQln@9fSvR$v1;)QT6)a&i&Mrk;)NN@%XhLG{W=W z6p*CRo3d1zRfhy6Mc9dv|6y*f{yl3IdtsKWHoHC!$i%*jpFfnz?03=j-@9u?f5TpaD0{gI zDvxf5`kJm74daK(Jccc*yU7#2qu#%A1Gh3`3iIZyDdaw}+EQ;W!kAC%UBe|O3@<9P za@!IM@UOr=eY;E*_lDHQ1a4-G^A9GT46_k$V;`PcH^EMBz(>)l+|HlOY z)6?VVXH+F9oVjsBxi`ddFJ!MhB-3-K(rPnPvI!X9Ev`)8pq;Oba?0^;7$VIiLTI7@ zR2DV9(#h+w^N%XCk#j+J@k2_~R5^S22V<(g4#DK`&*(j@4p^wH31Zz)c}@(zHx+a9 zP4!}~^g+xhoc6ZR5z8j1ou^YYTnLXCLQkFgMgMWwsFj;;d49a<>OE(vSUscsdylO` zXH+TQxG=**m=bQ8NrQcE5@puxlRMP*OUvx~*oDBfqSj*Wzf%XG>RK%Pe6nt4m~79` z%qm910UJ--*r(~B@wF4}aE*>@f>Q5@@cU;cnnEMDLg^pN{|eW9F}Pj^ABp~BL5SXU z_?c*KueeVmP7L6n@tW^DXE-*O^W|CdMz?^yZe(9rpOF|V8A&Waj*X2UV!fGmyKjAf z%bYxD>f)u9=#rV`ol0!N@-3uQz@-K(-2aO^W0p_Uq%W#_mmfw358o39{7bwA=3GL> z5%vxVAmr!nSs>D^t$pdZwxc5^3A2Y8aQZT+fuV6l1p{#71aL%;(q9#sQ)XZT50`*N z$u|xErYxH^#gHT+N+>&fw|^xBVgix85;8u}vUGt;mS$jF9D z`;E$0YX`M6Wg7(VAroG&goU;#e$MH3#Ym#nvy3(0+s5v3g`nSxYy9p1m^tzl`$Kan zyGG-hIE_fR9A${Oj6{hyT|a8w4#Fk^?i!l1G?mhVB}K4I71qVUEmGUnD0?v@I}1af zMhCk2)`iS}00lh*T$c8)`|LG^(?mk|z#R0j@X&=+F@`m9L_)tBfDws#?WMRZCT%!_Trj%L&CjNtjTXM8YIwEKj5Yj| zO(bh5oVE}ZLC<2JZ~Q+wl$5Tz_>sE4OZ1WO+g15UY^}__*)xmg4hif#eW{>ra24fU z@i%E3I2z$jvEB=q;fLz~MUpFZgZ&o2c6n7GX&W5g?}MbqWjaz{{n3M!rAL18BxmqC zKeyAE0FO^jrUl50XX{^D;`GPF2BV~h3g}V!Zo$xt7tBITi|ydjQ1}HrO)*a4tjTC< z@dsZR-dJP5dH36EBPb`bw=22%n_n|pP$W40--Ts-?FUy}sWg`J*xc&rKFNk^OehL! zbW$&-6jvMn*j~NYQDw?rJ^xXffDLc+TG4lv2-o)LHMBErpNK=#0yQJZ~r}0D$v084 zA_V&O_SUc%$)pkr8BnB$1AcN2K4+1IqfzQ7KbPq9=5C)%wQjP1(VgCrBkr(VzGp0u z|JIfzc5|R9WmWXMU#8TrK|=#u8&xnMLDV6S8_J)Ag^rtYlDh#_?t2|g1PJm2bUOP$ zF9vF_-rj%z{+)HSTdlVftOFDe_|nEp1G)TFwQK5wF_X8ttPJQR)h9EGfV~$@M2ULY zU560AAUO<3gw?Nd^Y@>pr$K1#ZlV7$>5Nu9^g*B@rrl9T^N$01(|PC!!{-`Mr+dw?}$B?^-P%hooU zuhieS#v2&7B%opp9jFD^@YJs_uYdSwtWg{92Z%#3s$RDh|FqIln_oW+iNCWusdTvC z*1#9?z{DWHQ;Co1V-c6Go1;>J3OVP0w)0;@QuNN!l5eDZny)fs(N6ON+&lU+{8I^6^u8=T{Wrzo62Q}+thfU@;hQq*;nm-KGO z1frZWWNl9RXMzpeZ{Ocplc?dBW5GY}hYA+Qe)7h*TpGj((&>`H;L)_CmH5p6_U@3%ID~p?! zLAK}rQKRO>W^YqipV}y=(K5SvLROM7`>t6HX;|LMRLvM0RSK`algr66*}Q9_maroJ z?y*m#;pZ9TuClA+OrV!9eb9!K+oZm;Q~2Q@MsPnl&GW)csoOa(NnLSq>B%fJ16Ih` ziUTHUk>$kcP51|*|8Tty+;7h_OY<=mT#iq1&LAldtGGq=BU=i%32S_f6II6<-lDq; zCL&=4`~La6jWgzVzNhWV`E_nFvJ6?5Qb;F-vfP{eTXM?NTkA6S(Io4%!0_Oj>-To$64)oPOm8(?onrpYo2T0^^6Q^b)&n5$6|l_b-;xzkGD;LSQD@q{BbOjO_rFe^|5 zhhQ4FWT^Ib=@TJ0crA!~HQ)rOyM%T5oj$+mb@@u`Knz@%9@)hYgS55XzCB-lRS5Ke z!g!>UEf8r?TD?_r|0+j$R7YmiaxBpci;og3v@FtO!*>P%PHhpixnJo~rT{J?%%(G~ zl34x)JTYWxVm|a+z9W&S3b#!IIAG0W#RRHAKP*1e@$W6T);S<#pz%aO4B{}tr!HdN zgZR`cY`$^$6fDd=o?nht@(txdXj?j*%$nv<+)R5AY$r@PXcM?{tzXHOm>c||nD}uLNw>urzu9onXG=w_EDH|pq>^(L zVZg=^>|GiU59J188|Y`A8IA2CvYt&eLz7i>@5{={SLTg?1Vi{UqHyE3!}Z6x`=_eT zH^R1!A|7>tYnKa6&7=R$9Zc{XE}F4)?=Epy5$AcH^a*GG$a88IanbH ziwfDsyE}L}a~{OuazusL6|zW6Gp9@2qljF-zFuHA#PrIPM_SXaX0r1SromWsp#<}D zv(3svpF-2JhZk|cW{80Y>Kc;tHfBLBEpG*5O@SDm^sJo?#uYT?K6it)s&-ZNH#-t! zklf%))i9Z{FtF*ev4jDxIo%3P(o;NvL$iNFJ79NN#VXnDNYO^gP5U; zii$kZ4gF;SZy{QDu1_JB89?QWJj3MWf&G0KLjt2z4RNV~$M=aFsMo5pg!%{0Iz!N81d&r?_hkI`NCn>WBy?V7m=_cc;yjJ|LGhS>V2K-Oo%-XqLBo-HN)^m23f2(|b+{+>81=)aUUxeU9o!U@2fx2{M?_7ft$$a;^;5CIOQ`tLq zdb=4D)pjV@@=(%|dCS5NDcH%E95|Bxk?iVH?q5$njE?L#iOXP8jy#fDZ`zXpWlRo_ zPBz%ua6?c*RaJOy!JZLBi5hC+B+WS}Sk~Hd^0SSS?Zo{BJ$+K|C^CyYRKVmJD$wMM zq@>BevM~48TOlLZY$!;fajIO$+&$w!mRAjSV#F6y?|cQi4_KEj-DE{Ie_`^JzR_dr z6;8<_2xK?vm#VDY!dU*2%}e{rgAPZ#vg#9T7=2Qf>FufC=jcl2O{)qEkF;r9@Or#) zaEeD3w}=t!dm0Ma3;UZkBl3P0p4s?I_}}1d-=GHY|=1BX+KHE+&ws)9mJ`t*3lwhZ_5FL@K zMer#z|4?gLBfc$2#-JV&zv0^ta5d6QsR=Gf;Bf9ug&Y&Xiton1Xs{OgtGvA`*OTD8 z$xCnYbok@w7wXa(l4l{O^~E!OU?_Lc(J%9|9i^y(F2-&$(x>u8~rv;%%>t*ffu zE~_;#CSi7ShfKeZ+i)Xa5Qd;gSE1s(U()J`OdEMCDkDN0Bv-c_GY$1&2)^=;HU008 z1XFJ^$Pft!A>rV=+H-aC;gHF?*_>a{=Y-OS1LSwwMU0p@!U1RR3T`!W$IP}=xuu_> zlG-83u`n@7W)|;!)Z3^zdIn`$xaBQEpl!bF8XHRqvbt%O@@H>Z?w zeOJ1DyA1Y+KWaueakkl%?<*a%>A}#Y0E-`eHx5Ew0Qe! z`|bi{ZiqAcm^o(0?5iE^P)tiOab?w)tQKJ%@Fs10Vf3Y$;f3KFGzgQdBv6Ii<1VUM zsO422vY}?ePjj;3RQ|3Wpx={c7C0dWNw7>(rsv;O~*%`7v1X)}O6{njUjR4As%5~M@|-K-|PN~xOTbsxyB z0wyz$C#|u~&CT8hqVNStV28iaVrPfZEEwmkHmY5!Ho+cEB{RRcC_3kYEis5g0mf+8 zR(YZUY{Yj!u%KmNV9t!E#Fz?r>QqhYXOt=SxjUW}mQn@Se`%{kGb&iV7J9i6Ja6(h`IeS2yg67=6UKlSs9dIAprj99u z4g!8qN<*!1O@w?W+aGNq?7P)Q7ZUdtMf2kDxlgPt26=0jtZ&82eq89C#nzdeJqdDC!zWB9o!QY4fwiX?P1cAmJ!M zYy6SEcd5!2`t^~ukkp*2;zv4rAS2oQZdBdYE!eYGHt}I|MAq6-`Ue%3W@?iJGo$Yq z7c45Dy{+l$@&k**4+Z|n(nr}Sb#NN=%Vq*P9_QdcGHcv~B!R4V~b>mxlYd_!JA z@#|f|71mau=1yQ+rT)rd$923EmQBIM|fJ#r}8>E z(Wr=iWF-1;Nr6obX*7ie?F)IWD-wumy(zS#J{5Yum0@e(&V8RN0LLBC15&M6TG9GZ5&dtJ1Fv_@v+p!@s#*nhnj3hEKuF%EiM z<5R#t9n_-)s;JmlV?4>#0#=pJQPkIzU;b?Lgd+S0>-8<`&c2;Ey#>yqO_fM-8a*-6 zz#B^$`$J=v@OyY(7MA!W4KM*Y^+{zEr4`8(s*uMR1M(hN**P|kbOpiTBg2Av1f1Qq zD;(ELE&ea2ko+?yTZ#rkOJM{@~L;1j|QCd@FYFdnlU zc1(s^=86=h6N+eP*t<#WUDeMM;!rxp;>2l0zvc4}3=G7w8fu`!7mN^~kKNAhNf}DI zk}aHj5iyK^D`D^ZTHp2g_2F~YVoyQCd5*}@<7TT`S2M$zmy zEYWhaWGjQ}2d5Oeu8r=c%`j0g*9knWV?T@|x$fGQ40BQmK7*fdt7V9)s?D~)Uu1@H z?y;W=e;}e&oI(;NbtkcF3pHvxSM3Kar zfc@(kpC#b!FY+&t${<=Lm_LaNRI}a`l#CC4De>s}()w6*sL(4>SJH#hC@!8Q7i2ms zQUUH*y)OTh7l*n()DIqYZUdQS0W0(*et|DGxt%=8Q+51M(%g~;&zxT8jTqF&A*ZbJ zkyGB?QaMW)MuRnOF*0LNVZnRpQY|LKwEmG?M+BF4UEDN=p)(RUl#EQl7+Ye)$Uf1s zOjNmUe?V~M&j5;mS+=LbHyRU@1>oM`*ctCr-1BVzD4;NU+@r>xVE10LbsWDZS^%_R zjjm%CN{(j`-c3E}N`KY>^!F-X*#6R4#>L~v0~2v7HDdK4f?HD$k{zst`rogdTE+?( zcyxT4Z(Lb7>63G3S+^mqDhweDnx7d19kc5>wLYpw$ptQpI%1RC6sUym;S})tX<(Lk zx!dO+fehlu~FrgKmhSWW~h)8slE_dv?}ONoLyUz ztQIb9&0B#}!w*e|iK`S@xbmNpVm*pkFX#{D#c2Z%9(6g1PzS63T23j3mgKI5>zVw zY(m3na@WW1zC68?8(x;6#!HF$36DHLO^fIMn^C*;m}tpH>%535J zG(gv5RbRd@JoPJ!=!`#hbX2||iR+(5)coS17{}o?FUW8M)nf;$u=0>1m@K9)v`#s# z1U;~(riTBs*qjTy{Er12pu+&#W)Ikbu`$#>BaEd6kk3SpEcTx_ar^cABFmlAxx;H9 z#RoJlMuU!#>FJY>kHfW&5{lRo;N^L<6%{sTM!wV3sDF5`bu<+g8)u2U zTrGBJT&^1jb}X?;ix8jph+Dm^MY-u9*@f}e&D{&?$c+H^Zo&Sk%G>b(TQQb&cY6nO z$ro29f&v>cLq?COcGiBg-8)3+q3$)7t*UJ(Na&H)cYp0ER&IQJ^8?1EWjt=j14Bv* zlPX7Kx?>ORS#ODc+jjoXjtIl;%?w6 zLoe>Qs~wMnK672p$C~Z8T1j!3v}9wDxFKW&3`dTBjzXzplmrRKS^MSR{A`8Z7!q90 zT+g}NJ<@~vJBgF5eTf+xOI(zChs_TCg+}+p9*dgAk}h7lA&6u^cFH+lFaouYm?9i2PS*szw5(Nq#4ERt8E!~IjF$1U7MG_7Bkn7t&k&oHc@ zH(KC^Z;Sr6QHx%FWnv_ras>*4<}#TqCz2-ztz1-~R8%|o^IXY{OQtoKRCH1?;V06% zAIjefo3{}uTJiAy(78mxSF$OSxlu`kmS!wUAFF0!V#stB3f$c#CAU5dd&g-p|Ma|F z-m1ECb1!S{Px>-=Y)1L_M}ZDK_rkm@WlpE=JtGqbW6eK1!%|pP_2iG#vDH{jNgPPA zVV_Po?Xp&c63NLOo7g4925XhnA5g}e)h~v=iWHH34#+t9`jg;O5OuLz%3d$DvxLMK zwVy3wbXYC%QuJ8eH2L^9_-v8s8OR}I(di7+?iF<-fow4ziDcVH&?o*SCTmi6o<$=n z<{}V(7+c0VE_^iPPiAhv-QP+GNgq7X1s8|j;Gi%=Zi-1t&`gYJYy)_6X#L0tNi9E8 z@+&pJ_vGVEc{>-;$hIj5Pnd3pT4s9t9!HQ)DcDixdRhu<$VHx#ODv^ZIFGwm+pAK$uIu$Dzduq#t6J(-BmzH)7uHnS?p5UpC+ zJ!t+CBj}mN9TnD%-gM(;&r3}vtr~s`D|eieyR>(_Xm4IT&>eoS(@?Sp8S@cxO~CDZ z5}?BZ`4Y+?OKZ{2EDfVv>_ zrBbDI!h*fpmavBzc+|B8&@^=rysr$gdh3yEnWyyC(vr5yGI|S-*0gdN;7h>IxbhI# zApVo5YpKM7fhw}x^!N`*K0iO#jdt|0waF*~x}8E55qQ7=y6eaZ4eNJkipbPuI#+$s^>xJ>V;E#o_)Pu8N6pkvb)A;N zB`D7P{IsyW3qJ*;r#yiJ&4hYCd!s|dD6h&z%)86uvW%MUCR_{21MAuqDC%{ZhJ zNx^e>J{77`xx1nMGVjX+YfU>@B`#tAyuE@T|L7|3*zMOReubJpLeKRE+r_WDuc*aJ z>niq3?eK zr^8VUamKlt?{$cH8u97;ljHk{#{KJCnBPm{D?1VncA(<(UsW63#SwM=;NMRFL(?|} z*40MaHfgYv#XgslYi2S^vSoK~8s6}lrbv}$8T zx%H22rEBdawvS%l(D|WUr!;Cj-3(b%f#Adj6y86P~Kp&;*Jn7|e$<#onAtkb7CZk~r&;UbCqwRON2oX*dxGpIDH6ODsvK&jE*YYdD zh;);5O|noah`yp%C7Gn`T?^|ClL*TR#ZKHWBX_DvPDW%c(tm?L`nLdRl^E15qE7p5 z#aNSj!by=un0yQB#%iq{!kowYFB~N$2T_*E0$jNBhO5~*_b-c{?#?^8uBEOZ8Z^2E zK~&g^U?~62Rr6l#lHWL$-t;e0g4t&5g^fZ>>)LNJJY>T-8IR4+x za*rDG$i?svY;E8dxcpN0gCKy=O!x)zRq(QFrU-r9azB*cNyr8V@upV!4N#U}m4#Ag zg^J&p1o$V8TVRb`atXpRq`zC+;qVX1P=_zb6LzA%@%c0``8q^J*U)V!nsN)HP(B6! zyk6lhcRRoAFXLV&$DO|a6U`n`xp?n&$K!i|F#X$##xZ%1=3MCe_yr?f@P0ilgs%W? z41)b;dfh~;j+Ps(q;e|Pv?Ia#{k#E^a_0Ahft3&Zl7M|dw4rR@4_^7nUR!vF^1+T# zpg)ub)pYT@tpPX1tHKoWi{mEL3O-amf#=ab+jz^1D>z}~j*qJ5BX+M=a{v1`?xOPk zQOdZ@yAIl@9)=YiFI&(5jtl}nr1ep0CK9~O&3t8=l$$1GHMLv8S>$}GG4<5MkfNfZ zjw;cm`;J%>PtOciIcG?z?yc!&4mlP?X#CLzpRHlmN!}1vDHPaHaOJTH_a(de)BBs% z6(SH&(q@sF+FY)gnv%o~NN0akrB;a0jgQ$f75KyhVHE&_IX~7uYSo&8FFnr+92d#v zzUy$_@U#LxE~JR>7|aWdu}?2US)$Abw5K(7yN~I0v{>ap3bP~YH;x-EeAc?hC_dQC z-mX3@jdgq+r8LG^P*Ozn`=oXv?h>h-a@XVFr{M7s-mBle<@!E;)5i%pj{hf=N<7~F z=++0i*@eIaDhuMxuOUx2sIQ8@@!@8Ye$sb~Xnj}A{k11}zbf5Jgm5HEfVha@(1T-M z-xh?1^dzK?Oi9k1l57Qure^A0BxKq#(EW1$8S4Ms{r>Ia`JrZyWApfH67NT=#7~oZ z`!G{RUjy)szbjgnS2OVfePgX!?5Wj6qCv?xMYS*leh>UE6%lY4KS!O+^p(O41CJ3( zZzHy?%9FMFgB0yaLqEST!n*kK)R}#Y@7Cjq#f5&GJh2R7HCwITHb^Lh5t}T=^t5@= zO=K;?zQ^W}Np{Tw2xB`=qEu?@;6?bop|#pu_ZpQBb3!K+a1JPHmKQOa{3SNK)jFKSm!WOX61;EG_!VXNccKyBt49<(p1wVoVK7 zm?7SmT~XBu8Edq3F2DcsQ~H*;1Byn<0JmNisv5Ey}A59a$@tg@t9+=H%<~V zAu=HU9eqO_6P)8()2&&{fkN}bz5pI3KnTUin!@$=fq38rEM1lz8E`=v1iIvVE^fVjC%#6P|qIg-7#i7mHhGjb^X|CW2&G z>Tbm=>)+U8Ph)>dF1FT1|N9wWW?|75m2Z}sZZs%F1->!Eh@aGT>UcIQ#$IEy%dQ)e zn1EEs=x!3W>JsZWEP@;~^n=#AH>>Kphw^eX;unv>!wjp+Dsi>*J^^Yu|0+J3^Ie@MG-v~TMJm>2ju|%?7M?4o@N+}eaSg1}t zdkun!av*u8`}AF6Zwyc_2KNR4nh&3?X>CIwei5KoVq@Wfgc_;Dj?>E2td%@HpXP%2RBIu6J$wqednJI)KZdaCibdd- z<-fi^Loct)+7+DrYm_`p=0=A}{<)1~B^+92Ux&n%LCdyD(x>WpyAxH4v855kTSpVs zuqV2o0o+MiYJVLI;le7q8L$v9bEvi;OR*r?I~J?kWJlG=!ORu;Q+9p zR1Y#qz08NNaCh$`D3b*aiRJQMwH1?}qD168hL>UQdIEZABF3jRdOJA+PxfD~OwzmM zzrav$jF3vBKA_wD*ba#9lnWv&ti-HaBy8_%(b~~*k8SP4N?NQ^*$!0}v5FVIf?h#2 z;r^0nGgnGD@{rlo`$iY_yd1k$@tQDpDu|wE!v4nw(igQs49ym&?88Mo5y^xtXUz5F z%kBKgQ3{<6T85TlA%qfM941E=C@XiOUiShD^!s-vgp^D0FXIjC+KWbj0wTjEBO+@n zp96VuW{L?sFsb6J2}+M;ZsnJ*BsZQBc#Uq5NgKVf7W!{I`tubgyXbWdOnm20_@qmQ z(KbvYYyKlBEzC1E(pXtm77Ve&IyeWP&uW&(7*=G_vDr1&y92?tyV!(~M^7~W6^S=( z-!x*|BM;(5SlkIrGgpKOVXLLn4?LqXpzbFsp;n8Hv4v@dh?PLvy8uiCtS~k~d}+Wv z9kUM?siLG%Oz;ngh8Qxbb|ROM>mJ+gZoaeaeo)Dd!zBx)=l-Q$39ot|gC6O#us~tw z!v0f1bm>WKl1;mX<6A9hrT*&PPDPrMYUq$xv;mUADpZz66W42>C)VaEB;%21$J730 zt(RjknG_5(v0Xj1Fr&je?gNx~<^yo&tYk8r#W$e*&v6wfRMB>nkRWKxOYvBj3sWvWI% z92H=61_u47heS$cRQ?`VZowmtmYg^|Rk0<2Ff?^_O`V()@9!tl_>~i4Vq^EK=p6A1 zEPv!&Zol#iAps>}N@##aB`V)Q3j-(*o{FW)GyGC+QJ_RSlsZ{ z=yu7st5cqVt7sI`1iBU64w4$xKtBcQcNi>=@jD|#_ZE~33nhT9%c}W1U5ZKA z&Vhn`c(?QV#}~D!_o;4ZYAGPjcuwo1zlQl?RHdQI7h`Zn^Aqv2XYY_O@8ho{nuy33 zA)MOnMlQXKes$T06|E%cNh)T`6r~VBHC30q8$n+I@W7%I*|i1SAN)gRR(Sq*jKV!b zbL{ib#Z>CBrTyq(3*W5qI1{J^{kAdv0$I$bfQCAsz#89kYry_A>~|xi_pzq2qGxGx zNlU&^28$@*?JsYVd`dock4p#_GJ`zyF8RJUb73I7Dl~LhCsoZIHj^W`E~W)bibo^w zw6Z}WpQOv4;@s(4Jb{8<(DSct!9`>ND6w~}m*qJ@EoAypuEZu2gN?A^(34`3W%t)S zSJ!xSqsuVYp71*;a0cydfx^r7QPjENAcf?Z5^T*c&D;95mNi(bVoLsq*)#>4MW+9s za=e&Y_jw4q;8C>X`zGBq(YYDzaegwJW}%cgvqdz=mbzol8yWK(2J^-jYC%cGN79(^ zx+M@(C8%rV0W##7Y|aD1BxXQ#M9##;ZMmb4Fpp4(sxiy%Q%DHZTRTSgot>eRK3K%5 zseQ`G5k+JciKP9rOn9`*n7Rx{tZh4hXc9EW)h@48zl_kv3Z6zKw{j_a<@I<1|B9br zc(KAZMCK(*D*gU6TMX`2ClMAQ!#Eat_crwZm%q6Jlc3m8MOO3N_O& zyo4fti`zfgkRZy9X50j3>&ss{G*z^)#@c`wq?h%{W{r}cL#RldA+p9dk%4{!Mw~+- zGu0|6ownXZaew$(RPQAVRf)9%pGc6*tPpLlaj5IU`FsW({_XMG4DU={W&^}yf!vPdr z&byzHA6);UmY*@Y+O+U^XgLbhw%jep7u5!LQKwS-tkiGBl6@hpDJ$mEbt0tXdb`QZRGJ_06h)#@tV zIAO&Cs@rezPMqSOeC28Qo$gp+fG5u=lL9bpAGLjSsX=dzVnDbfFm3dEBg!mzTJ2zM zZSqTS+$bUyDg*nEVHz#AqN-!rA8HIOxJQxF+{tS4>86RSNzV#DOmPCE1!rJ*fsI^x z$iSAZtP~X3q2J+FlGl>Du8II|&D!UsC7Oyz4dyHj!p3}B8Ltb{;7lDCSfbyK$}GKE zHqLD*cjw5VRksk&Ndau=;2bOY#!lW#9*^I{=vP!YFM?3zzz6m4o^OUoC>~(<$2j4H z+&{Y?-2D#SJ$7R`p6>NOT|f2|J|IeT{*`^_758qJVFdlbOB(Zd)~(_N<>`NmQ5{A) zL2cgp$Iz3mwUbaQrf0_hhQfsR9X5!xXhL3v1+UyIFzhn_$Vl^R1*4(*PinlXiJxQ1 zq7)vMA(#@f=_{?bUe@go?)BF}$s<(TXWeh^c%Qj`8GU)wXui!(hO8&twZjc+hPf<5 zdmf?U|LT}6W}MpXq10VF)QyxYZV9L!F?5a{k;*Kzv0sdVihn2#RUMl3Ix)&YRuIVKS8i2BibkM-ZSl;nQxL~>;t zb2R(JqTvIrO|_hnRav~;e(Chx{j0yFIBpzVq6g>DR1T^Z_(?%U5vpSb{E*kUg1mSv zO6vI5@0`NxKQ5|(v&VKzu_(ceJ!P%qqj;FHAr}Nj6)xC)%jSsa{ZwjT^$C&mZTBvd zA&)Ts1ZTh2NDsx~lT!Y=vnE%FgO#1ZetzTF5G|&I8puEx_kYC!mByqTxkJIV@t0R8 zmeN$kvI7S&^u@~Xb6Oe_EJQF;&80Cq{T!LtEL!4|IOI9px5_#f?W`z4#{Lgofuyp5 z>gA{RFVpypM_%bok>#|aelc1NRH?QYantkbHb80vAYnZ)%Nl%rAPqbb&5-cl34DxM z|HA1p4Q`FuB~$Bl%I(>_a5$U$^iS2)8)BG%U$sTIenN5^uw4UO|0p`XA=Uvs<>7R$ z#1atpI6WGrgc_Bcs8=)m@%{?a&xnYNW2oB8UDp_sOh_vHl^F%7lqL=V#M40Guk&1< z4#WJpn>#XIs_FhPI8Ybl%aJlvQzwh6jys+%!)rY}4 z&25r1;-7u@>!hFgcJ;gNoJ(sEb&5UxMbr#;i<*yXf(P2ou1Wb;OlBBb4nx=T5q3vP zi}c{w^DxjhuN%6rR(`va+L&dyH1h(VocphjNq}@tK-g2;$UUkM6OznQIC&`9B|2%L zRcCQInpfIu`{44E{Y-#qdVi_9&cP_I>}yg3$C~HzrO5PVyrq7 zZF~1?``e=ZJBBdGD#<F81Lif!g{Toupqn_?ZL+iA%~ODoa|y~c(>rD90m z*ZZ${G;*_7-XJixf{`V5eM+%>l2QxyB(u;Z9@;`fLi7aBQS?x)cJY-zWmu5vVOj!W zlZDtVmCseWuWi)WsnU|`_{53F?rFmi9ZNqH{1=ns!kkg*B2@p@c<&lNqK<_oxn6geXKQ zFvu^}deyeB2(GsN8MKCfbtd2)_9A=Er=j%M+-ia_%M@UvjO$&|_S?L!ROePLSXvpU z{(c}v`u`P0h?G>;-@vbs+2%7+XES>TJO(MK~{DmlJ4H&!-Yz zVkvI?QB~L0mZ>q06DCxqI%Z3gbC_p|gNlj@(A*UZeYdkpfbjad3({wE6ywgX zRQ%y;DvuV&In;VDvFNB{MVB-|%eXgnYkPAHJnePOB_FIU-;fq(S~f>eLlu}rmK9^6 zn^1)-Z6Z8J#Df<|^!`;TwCr|*=|9C`io7xHUaY~eEHul9tj{Zeqm@%_WjI7l933`N z)^Rr=eAvzo-GfKEk%aKI44UhGVF~bOm1H85hF`2r&xYIUoYMiV$AkKBknsW^oRsp} z|88?X-*{H1!;zcJ{&ahs8=BN|4mP__DJ#OWzp(uV07lrc#Lh?7(?f!(rnQjzU>Z=gp(aAgJHTM>(9o!g% zmu~}$GeS%rZAQ4xHGQl@3(vR=;S{1+P5cInForm@xoF;(>kEU~wFE<9lkVK7v-f6R z@xb4eYnAYi&Qw5$n`Km@-Qk|4QZrWbX2y;9(IZhL5x0byO4%3oJ|C344jzS9f`>oh zg#2{F15R`~&%^Owe_O1uyvpc569}VYr3RW=0EIyH2FeXCXli0g5ROR59>kdP`o;D0 zsLjBG2@c5>XNc4 zk7!&SXNj9UEK?{Yjc4YT2H5NDn`&*oZm=@K;ftxw$i*%=pE9cc>RwVr3x(!)gzcYe zeS1+WOwPEclo#xKtJS*jJb9{K%p_!g0LAh76f%y@aQZx5Ri8zuSEQIb#ON(u0?ubt z-KE>JXh0&jygV`*eM(PF$}=vh#AL--OBbzNCWX^7)32J z4<2yF>u%7G7~!bVU|UU18}zBkt55TR3s!U<6>RnC&CU3Cpi0*<`*AqSn@4-*H4kT{ z|1myF>0j3g_?9(&{rZ+TD6l9iyL75vGZRp!M9hWIzS9?1;?y)S>=q%r77P?G<)eB6 zz2*$A+}Djn^wv#bM#mh#8fa3x#t9Ku$k^~dv_*Pn<-ju-0gJcg*zuyNboro>Cyp8w zuPRT^Ut4g}t+-L&U7v$oJ`w8*U=NpkB4%^AI0+7bL7!t8{T=7rS3Ldq6OGo#P4BJi zF8+yh`oEk2A`#&U3P@{E}X35fxQVh2|RlYsS>JV)A1LV%IDo-|TvC zpq7qy4_^?3ZpfQR&1C{TBZ%Ez5oGZAC!B8`C-$D*l4dr>dioOp=iLj_$%rON?l6FU zp;(K`%FQ>T56itss`VlOqT)BI7gKrO@6sSvsXtK^Qp&&A9PCGSu`pS98FEcCZY!Nb zL$J_eu^;Mt5_EwS5`ashq-hAlY(x(H*Um46XS_^dnfSXLR(*CX5}+%}WL1~j>L!~% z=5OEb{9ozXt~ZzFD>BDA6@LA@3Wi?kY6}(sF;>zQ3{ZEoES$ea@&y?q5^{wYrfamt z%^bTp-9wr%bLcJspd_shmiWl69bo>KI*KiUlUaNZ2JZXM{y(z`Cp&$i-;UaHIHF_d zC`iAJ4Glp70h1Hc(?I(-P`J6|3K;&Si-dt4L%pDQUJ2{Q?SNi{pngpeKd#gIAQrrk|di)l?K*OY@GoG zKnx#&5DM}awE{t@#v^jKah;jd?g{(_e(8;t;1v8q-<6F$SVi^u3oSHd63sIoC zs2SICPNsaYJBQ*RE+80oe|>&h%d?`{t-oByxv!1)jrpHCap2(P{oZi}j*3c{U3p_C zlui+oLH;98Cc79-HX6VhEm~v!lF@Ba-G`3FYXz0)Gi>O(N}gqoFyA9*LVA?oUq;!Y zd)u+UlRAlfp};}!&#TmyT~q7eG+3-wVv4Htkc-ne;8M>J(%5`AmNNr>o__B{zzYc= z2wDeZL8a!5CK}aP@UfqQf7pT-?2_O!6xs06AfSIq0UFosaim>a(cX6Ae(|N$+515Z zpyrRoR-+6XLAubPfj6u9g_qkc9k?CfCjl#yZ@25;?$&{Y&|f4-9=dcg!zdMo-&x#wnA?x`m2C_WB*UH# z8t7+}Kz*9PwZ4DUeGxtXb+p2qrsd7p(w5--Upg6)ASFgddVDbzm`>0*Q)`Y|Z8S!3 z&h*e6#%o-sf0XE2ttO}6qv^RX<7~0_azAuL!q~P~%nxbt3>;-?o3)|3O5T4gQi;4O z#%R*qbu~JKbu6&&G5Ha~d4j++|0*Hj34r0f7pT;PK~uo*pj!!(Xnve&%=nAIPZa-IB?Z@)}j@guFFGLMECFOBZsuOHP>%b&y{s5 z(q6UkMJMeiLZ}(af9ckjhjHZ5;Kc@2*#;N`=4A49TVbtw_l__>VWMn*Yp!@xr^XrK z;=S((tn4RnDBX?@^PA(zEO2qFejQ-$RfY!^SG_xA?^I7+Be9pjl7GB=qULR^=E_;% z(YY1pv>=MUrhlulvky2r+iDf)P@xhOl$zbxszfb?wP+b5gd1kb)EAV{A%!S9*^)PC zB`#e$uq=)&N`rDHi zGVU87lmYWj{AzfI}SkbJ0 zB(&~eiEZpyaE*8Tl#~@SU8hlE!GqX&CE)-jFyGrzA5D7UsNHKsKCJATAXN}+=YtK4 zw?!0LoYYP-XM|)TnwXm782g};xF1%kyk&=MW^o~N(UQ|FeC%i_6P(QS0^uc8dGXbJ z_Xk~3EeYVSFhi7czGR`~x?VQKAmkm{0i>5%H3i371mOX1EQ5x!dC8`?Qgsw9GBpgJ zf`?}k=-vuny`M(5&CUrkiw)P<0j}~tIc7RAFdKiE0y|7bxLcaV1e88TH~{}%*~fr$ys-<1_D zoLF&ryF0H=-eBWGJZyXp6X_JCt`R^an$x#K3QJA?ot5EdAxx5+**)ivoNXunXutvy z)t0g}3P`OaWafdtBtUMYR36MKkicdR62U~yL%iG4Ruy?aT=#UpUt0R@%DpvWEZW4r zuu$HNmVZ%217tP{u*Ky7qc^Xf0$grXi$y0akMaLc3&1>DMU|>s5 ztL^Q`lRf(`r%pLpDrwZ(e&Kp&^?P=X9f@rHWXxG#=+G#E@oNzdXorf>Tb9cc*l5J~ z#TN3jOrF(Ana|GA|AMaBnPth5e;4G#@f}*yaOq_C&B{VK1{7qVH5z_{$;dzN3=;rp zw*L__?u^{moFL4|V^{N?eyk4%E=aHa%Qo<8lbQ13&q$%lU=;?+<(S7dkBr}-GOL+u z?X&%sjBjt)dx?l5nM1`(|AmijMCa+vT2?)ekc|L82d)_Z-{3jk12YMX}Eu;QN zkO(xDgMtF&OGGk@0rv)h=U#%&IT*ImoDF;AF4kHTpqmPa1;T3CK4~9ATZF!xCzY&4T)%21#dzM)d{GnP8NVL-^sBgiBO+ z9lJ)%lL49(Yc1>nu-NU#{UZt>mju9n{e z+$*m0VMEK!%#$?Dq4dQqqJ+QSXyG=LW|6z(Id%9<#xY9@Q*0S3?(vBIgY-GuTFcgu&E>)|I;JqDpE2iN)+}aZ;U5cV>u42!#c- z{slt=+bBptd!~pMs0dLnQGET%AL`NjM?r$baOJ{>N_j;pc~jzr1yUSmqcm8d+u@@qF@V zC=CCz4B_w}7lPNa@N}*016u!=`|OyEbq;y!`rx$-7T^^HkVQV@w>Nck$gTSfeonC? z3CWB)2cI}H`I*Vb$Cp{#hZf-4Ro&IdO{Rr*5I5m)vf2`>koHYL@Lmp%}4S=1buu?Z)Ob+r5tKxZf#t~w$wrg z_x?&Qr7!xMI@Va{)~;i!v0}Go`+FmnY36-Kf#v%xZ+h>S-85`C-mh>_v3|!n1b02Q zE&u8&boSlO)wD8Fl&z%B^Qr85>9Jn@9z9!3B+;mg>ZFy`&4!@KP)M+QaeHx*AN@ZL z-Q%pcA=cDJLX1IRXE@p`@^!=onI?@`Vikd>-pN%M$XeTfxPmBX*UM|R|2eTUiAcjc zJ7&sj(sSebx5X7SKFh&2FJWblJYaI0F-yA^44u0la^8ocZZF9u+54VqcYM5@Hl%vJ zb$@<*irknEov*ycDfHoapVb zhu$_T@Ge@0?A&3vPwQnh#Kbp7R*9vR+t6Ta?IN;^?rcze@E0BK@n%JXGXuVP^r`Gx zzqBbiGB((p&tCb1i2k_vhOQkR)_SuilGM5s2-dHQ{uC8e+Ix8RG?SOTYW4qsN=UEW zs(D|Yb@H}AjD;d^q%xml+1`>t8$FdOo*-ua5fimwRMsgbI%mC|ugu@k*Ag>|<_urP+=5$%yo)~ew`Y?qR%a4XB6Sw?Tn+Q;kj>Z4)Vzz z6Hgfz=#sBrFP=X`dE%cHO;+Xa-K%v3-#Y9WrN-IE_#rB?fQFEhb1?PnS+{FxB6ct$ z1FhBCDP5*W3n?GGHyoCXQtLhpa3oK&GveHxp%yzPF={bZTP zGmVBH3Vj8aK!V^*l>xrot+&f9imR_5llpHfltwPZ#aJzY-G`@9R4gWBPwQ7qb*t}> zg1RWr6Enyk<2yWPZKeZ)J@CA$N+cwfe>V`ysf=IS>$Tm$i6Mz-EKO9CA}vx|54f8y z^P^$wsJ5T@Pd9Mp50DBHSW8q?G`nO<%#ptUzvHB`(UQ#W?N)+u4p=g$_BC$^A)=f} z=gSjjREZ(YtSy6!9X{X}v)>5o2c(8NWqPm=oou+$WVtH0a*C@CBmUO4cfL(?CUb_- zdwppwaqA!?r)HBLwLqP3@Y(V7%_~Q4{(|^RTVXy3 zMgCuYo&n^Ph-uX0EM%x5U#}+F;QbG<+RB;T-E6#+R-zIF9oQ8iM zZRn=22cA^$1+3M702#kwLoDrG3{oWJ)qlL)e|f9|Wz>P~X_$Yw*++G<`@iFxc+kMH zcHI?N+o03zQ82F=1|mh`qNT~8T~spp`h1q3gMEea;RMc+L5_GPN0XQ$T-s!f{+PC< zF2^`YS#x8@=$jwtTlX{hI1+mNk|el?Ro#3FW~{MPoBo%acXMDv2(gNK6^cKq7@zw% zYy5Zdj(zI<`F`Td6ky}Dmf_70<19DH*w!P2RL2v6G&{QbW<0#w(Rqjx;025kfBnkS zz5L^3jn0BjjuX##yMvZ7i#BT#B1$pzHxeeMG?46@s1Y*B^&hCUlT{*63?Ys$#k4VS zuxwoF^~q*gAevM~CQ2Gn#Tj#TJib3h7Reb=-!eVk*!!#ULz{fwUn{8O1B?bwCe(7u6=R0^f~bne)tbioP~)B{}Z zUx%OmtcfNTb_FEJmjG$4^Q@2PNN($RJj0(2WvVpqjPvgRgEU?TgzN>w{fv)DH)6Ca z)H+?nn!Efi%TpanC;fWiBViKTV0V+q*`K;#Fd&_%3fEK#l~1(u#6SXG_nQc`ZC8#7 zQJUEI(=1;KNB*Bvjn=@ozK!$rN@OI)!l4;5({?@8Z3mwamJCbooY;V?JQ{uhIQ3!S z4Rcn(WYM56iw7JnHwC9yOu_z-grD{dx!rx7^>i%Z!JQIBtG$i7UC(J-+pz*38M`%v zo)p6$yrajC`HABF#}_CWJ!Sci3tf8`wBg~kwpmQUC+HmbvY(?hJ7QSpV- z)EJTvGolcbn%7i+Awc|tB7kKE5y65(fDwSfa0#o<1ND2l(h?=5nC1cI) z-06hVR|u&ta;5P{kVR?c1XEC#P7_7A9bR@2Za>fM?jTmzxw!}LIRt5r70#dCJZ$Oz zJE{n8aW>5He^C$+S2qzAGVt(9XVK>m%!omm9@6Y+Vn*VGg7b(11qsrm9r08E4))r9 zrm^4>GY5PiFHKRk^|RIg-yYd*8s=!6=}RkC5D}7`=#@_Vgk;q8+iZom)iJr&&Rv@P z)l~EMnaaj8^i#61o%h#9Z+2uAiFga0k6AXo&mk^2mbbGMvPfX;^)B1ww5MTERi%PS zn(X?VZ~0(vJ+|JxSBzu|^Wq=4dgLh7ulG3f>OFVXPfyTmrfUZiEtA{vM&yUe#gB7* z!}H%gV&MuKW&$4E=j5638TmC5KIaffB}NuYAeD$aYhT_%rU81Tgn=5Lb|yC~T}UAV z6BCH(TOj-=o7;6O?)A@_3FWY{k54v`@3G6-J;%fcA2mo4cKyULEi`g0F%3je={*zR zZk)K$3Iz~bc5u14Y(auTTA{S~!uH$YPGO?df2G_1d*;u%ERfu;?qHz7%8v?+D_ib1|PfxmxV#e?SUO0;e` zWvwcJo1(6WMT`HElA9rl*{ymH{rYNWc@){bI zjdrd!Pxy!3s2I{pZP^&}x%=luM0XWZF@aom+;3tSHB|SJbv-H8*tdATURD6%6V1G$uddOAd?A+rkJR6lYe;JEcl_$*CVmJMNp8uQv`== zqk5eatkklOb7+jpZ4$ai4Zw*?{p)_K*#hrjgg2s2>OrJpu)luT`gQ2+f5V+fXLzo{ z(JIosVeDKh**;628kLwk6?$o?5U^2Cy{=W_U=A+;O6TMq8%UU??0OFXBXrjpHnsH& zZpXwtVr_#6!Pc%fHyfGWbMxKoym~<e>&6mvJ{9m33BZFCT!6g? zs0L_`nOv_jhw_|02?bDrWbtr~U!EYY@9c)3=S`l)12qq>9|>i$=(cq5ftduwYtL`v zHxO*p4tmo$kPL+wh_fQDDLu4oJf7cd?edbOQr7QTWc8F@pQq~8?)+j3F zQuD`18gOVzMv}3+&;0NuxEDRI1Yo~G%&CMIaq<%NF*ww5E<2{z1Q8#3P@ zQhQq?5jqB`~gFsIn5t8fMu;xJ=Qm|U!0{_mtd8SX^xC@|f+TF~iK6g#W zD$vn%2i^JXKAhr2%*{A&#^~Ipg;tLnx1hJWpr*)?WRYC17C{}J;QRFvV}Dt^tBs<1 z?PEJ62kneK5yA??7Bb`i+*{90aYjl=GnMh+Czc1E^E6~LBob}gwfm7l*i2K9oXU#N z$4Icqin8Fz#1zQT^#8!qUF6iyKy=oJAkJ1xb^UO-*$=mp$b}Cga@b4Jn)1J7o|A+X zga4l5h5xPO@F$MEGF@^4Swhu4P0p^;R=J7}b-jl%(U?;H5tKFNJdyLSTel`n-Z~s3VH0IpC+^cDGC(f6p~AF~eGOQdITa;)R;NZMh4s zsGPDjD9#^=8t7|8$Ec>i9U|ab3dknvTcT5GnTI-vgM$ACR?CNnq@_uWrZOZ?my0tLNQlisdTqqx2aZk<_-wJ z^oYT>^rQ8^$>2MHo`s9ez@+Sd{8{Uwzh|MYy%voHb|0uK-)>&trD(GKE_R`lZhjK# zh^98=s$(KX!Gu=Qre*GGhcBifg)pqu**-PnVV3r!s6*}e;hhHKL#UPDXp@G!im&(H znZ}retTQaa^4C}5u(En^&EGxHtSB@CL7?Bh!#5njmL1p7HD|~VP;gI$hS~^+-QJON zR-qp3;%0O%^%pUEF@yvw=v4GkB*S_|VdB2Zn+@{SeNXBP8GW)93;yPR$ zwx-wK`>Ie^I7_-5f>7-VPP@Z-sRDRu@y5kC2)lc!X;G?o`R2f0>9GF?Jic*1BLk%U z{|G#=!hoc_k-BwEakoA}LJWBf42+*-kw85z*svo|HsfnZnlyTM%g0~2yX^=*Qg1@Z z>q>cPEI=@UhJ7`gs7gwR+_j-YLVX; zw(w8TB_cbAs8M&LEP`2!UVi*IA)f4MXqk(>jSWX0T0}LX0$IK|C-Th1U|w4!|aK4j<0>Z3$ZWNzooYjpZ49qJDsLEQ+c%nvv6k}E?bAY zpMOC3ea)sNIzV=_@`Q{fV(j${7bFlu%Go%TMjO!8!i^U}5se#?XjRrFDHzl|RhKNI zU|RWY=YI8zT}g_vAj3mgaKXxvmrY)E@r6{Xt?=i<4n$B-o<|PgziyNdtv>uM#mq8` z*Z*=`v5uF8-}{_DKIwk(kBb2eJgn^cWJ$lz`9dQGBdxg<<8+&gGz2WMq6!^CNf48S zDlv#G5=hU%to~J^UCWq6A@F?Kyz*mZr*VsC_&u3TshK>+~BoY&{=otqT?JhU0#1}GHH z)ZkqY$*2%(?`>DX;UQVE1QQr343Ep#OVn80LJ5|2egOsU+?`wh8=T#634jm6{J3VG z6*Wl{>rk@0nf%=4*`ufffdiu~Aq|1q)yHUQ>vQu}rlH)n4skE+2sw7lE9H6o8{uf& zX#m)C(y9GM{*TH_Cv~BtYG&DAjqO?K)JY=d=0LA5XVdt}FE+mij?0;HH^!a3*GipI zW;aPvuGE8zBC+aD*Ked&Kk*eVr}$LJM70W4OC5IVhlxOcxZSn}iS54~?=Qf{?fY0z zsy%gGpM}QalU#$`mWCJ!&$|FvD=zDQu>%DM5eJrQltU(vzhUQmIE4>5|C;)_-he2% z#vkN3u_&?P*S@*H<{scmeSGkyZ#_<{n*R$#K$oN$clzu$svQBcF3bLI9)uEs_}Sya ze_j0z57r>u(+bN*@NnC^gE(Y{ZUKIiRhf6Z;mS2a!jVV`Y}`3=!m+QV_SnmI-_LgFkL%=IpOS(zK#vR+Wn*m2lr5^i+;X&-0xthDq#(}<|E=m5}; z9B}c%kM=67J!Q{ABS3bQOo#7x;YqI}C0DBHCN2g6*Ko@Lz zmMc3(lY?zMYA#pQCA1BljS}sm=WV>+X*(CVJ^as$XxueWknlh6fA)b5?gQHeM(n92 zr(El{)kz$Ql?~&6e<6^1C8pyLgM9L%;%G*Xf@I5<$WY@GmNC|Kwn(eQ5+EYWHz@K% zIkCp)oxFihp>lkD_>o>5ufXW%5n|RDOB6zqK^3(Pf(6exRH0ui!?3mp3p;Ib=|t$- zNr)(Pu)$P9ak{mcJTK@@3nb6mRFu0$BDq3JJ z&)d1f3nC&yS-RE{$bNnFIjf#j&kG`x*((X3A>B6KY-t|ddfRt@vi~UYmv3L}U30Sl zE=}!=Ll<0hTR)1r)XevK7|V3P*PL43c2Ad^`nT&JPp#6bFX3lH8C^WDy#g`y1a1=O zq=Abc0Z=~(5YCeE7r6?QAn;M0AotI0lE+Q`fkr+6T55K61)aXg=B6JVns~&GcUFvR z0wqigQ?CN;y%qXA^@sPQu;AjVB}+}qKNwitsJd$+kdbWSQ3PI=H4Yb#Slh9Rd;eZL zvc5m_R3l_(?#v-p^Q-@}NY>8wxGg}Ifd(HAP@pGFCIpst+S=MSHZ~4NGsG^s=8ldD z>J@;ejuaz0^nE@t#1ISU0sthA36lR_`BP1iBhNPJ(@e2}b|>95v-;MWo@>tGVB0kt zJG(ldL>PDlLEu1KG7Ad}93rBCd&xjQ{r6Y=%X&C2{3{zS0|XYc!m?%hH=^IiZk{zR z@rI5_rvW2R>JO*HYe!yA5wlyhQlbA*2!!3X5cX;nOq6)^^XR zRQVux^{G-zr?_WT6p^51XB5HgPqIMu#!$PH!Z1{us#LA+=Fz{kwoHr;E7a>7!9;?8 zKAC(~BZ5ZC{-V{_^0KwZl10!pHfdS_LM{sDNq8%HT;#wIyu2A|<1rlilJH$`kHG1Q z6%pW$YWMdW8aF!8k;a_3>3czKE6q)Hl)@L%a_6UYu>atqGv>u?b>sE>m-fS%i>6v1 z=zJnrg8_I^rQZPiEGHUiMp7z%sv`r)I0i zxxOoGe=Q;?f@Unal0r$Uz|Q^8yCUbyuUQpP&%!F~pdLP0Ai&eEX!65RzEcsT<>m3A z5o8faF)=6Yu1?!KJ`XP)H+nCpiqtIhJNsGRvjj|9;&^>G+Y6$v!yC3GwTZ;W2@Qr`jEHS%^(AmJaU_MV$qHRWeuOE+hG z|I-!SCatfEO&kHixLB4|s?Q{!q| zRZaE;?WV2&%pWCAkU!vS0~5yn^Bt1m{fg%N2c{^|mq|s>efQ~`3;`d{E#y>lF+VR5 z3wEB89m*DEbb*?6fdrd4BENpEXLw)_(?6B*-5XN30a!IPfb`Q!EmN=9=Ji1OT~4#_ zl#!R0_kkNlHxBqw0h!sXMKZw1(_x%yw6#@7n`(LFNYG&vs8^iRI`EEN1Dm~8uX`G6 zYwQ2eqd6d?1WLGxa;Ked_C|Fxh^I3p8asGve$InU6UZrJG40vROn^ubsZ|;xp@x$ZLm?9BL*vxi7NVggh-?}+Akl5QFQ|BsP8PA}Dhu7%$x&#H?R5p^-ev@uf%sM7<$cH;pOK?sM$VV$p=1>^$)M|$jX zf1|kiw=9*XLQ#BlR5u1ZjO}#agASU~jw0Q3-V+D}9#+VRF?y%1tv5-qL%vn8`(uKQ z!^8TNz4yU4S2Bi$V3Pj;ltT}Uj|trl3CGrf^-%AI^6jZsDwxtRVbvJL%4*_vpb6O7 z@WXb;DlsNef=P^wtnHlO+$;P(6#hpF2ByDDN^A5ZfKwW*Y>9||A%1o>R&l3H;`|cF zt*`~w#VW(Y$m9uQ;#J=r_DY=BJzgJj27HE{6xH@KpkhD%UvY2!l;s!o3oD=?A|>4= z-5?S--F^v4=@yXg4(SE~>5}g5?(V$llA{mRSAleVD0fN7qS61#Qn(}$`=HXP7RxlBDMQq^tVMSWw`NIzz*$)}N;1@m^ zZ{WRBW#|d|N0C59Q0+2*(=vKitaPNQWni1%1#0htq|YLfZP#s5Vt`CoboKNT%a(@d z%QMUvE6AJ{4xp3j#N(Chr}J4M38Ib_)i`ZlR=S4w+G{+W@;?M#dpbm4SVf6YE;~A_XojRc zOsh`?+qXOcmbSjx0aIyhdc`%!5n#DuA>7U>IrcYDhh2_F9BZHNp4SIN?bpu#!!epT zYj}uM&H=BJh}^+@oNBcXN=m2h#G-Ow=8Q#cBNbAW1|tx)K&Ntg28PQwXqwPSiXhP5 z3Us9k>e6!E$s|Al64yr03&)uA^N8DUlHHmh0GRMD_n}<;s-XwV4|P{Ce@BwGf0RZS{r(<2k@!=ad|Ag760D;WKEG5(H-uG@RnH5^(Tm%jsbcs@> zKi1&+cGoZjQFY?E2fsl3q}8&{uh}SFnmN_4?KJL@PcIO5o8Hx}#tHEGl6bI()Sw6} zhm_CGla=_!YAehLBKO8Mq;`&X;Y5m0!Q8_&DI{hd&KatZ)vmVVy)tJ-MpzKVu;y)}3))cBDz!Y&rnR>iF%lPpWcUkrJ9Tiea#~sY3 zx^#sek@tzW@-!xfaCfW2BisC_zZ$>4O4H7K1^a5W&)Dn}-F zj{I{n&@VEA5UPvcrf%zAn{kH`@$upRCmLH)>bvo60iOS(d!HVzl_g!b4QK>-Wa!OL0;Il9k%vLDj-XhE0kLVfF- z#f0rAjSn~{kf8V;a!qs4p5DPST4M1p^oW!Oy;?p+0)hy)HZOqQSw3YFV!-&YI3t~M z)coN=BiS%pw04?2mLmv4!uVfQ-^8$zqV(1U_VKevuT382zEm@_jEBq4n(+Ga^rw=i z3raBgJoWd_;W3<);q#}6QrnB^In7Mt(L`fN$M)0B=dXpBu@*&ON(W1{oR-t$NlWh? z<{jg5k@clZP(Zza-~opB{y~(7<|F3KgELLa~E@Ikkzylu;CibbZvp6U44Snj)5*-4TCb25+O}Gyh#ss5eup z4j*VceLvu!`E)n?ZJ=N&XN)m=@}v8HCD~U1l+K5xk-Np1V~o@>?@5*%B0`?+-tZOx zVi_Fuq7smKe{VA1;tOD5jKEpi1f_jMy--(#gBv-atUzrc8dm%>AQq<87(gv)>@Q}W z?VG?1hA!&7#d!azs3wdegnn5gUF#<^YqT&MJ6`r%?K|wWHys|ggZxeY+q;2YzS|o5 z#!}naOcCjcRA_&&Qy0!J_L=p3!&ChyNn4g;fsUl!{1$#_O*|O?m1zp%hupz3Yi;Jq zPcfv@|4hvNP9?VLf7F52oXt}&j)X{DX;M1Y%`jSrUa_D&&T#R{nGPwD-P@_%$RW;AVqfH9wKFlFZ@G~8( z!XuRLl&lI2-sVIK^8`?{?sAZ8i*Z?44)ZG=SXGR^&}>dCz2M4L_oyK9RxVYBhz%Y3 zQ9aj?RHJJ@1?Y9&EQ4165Z}z^XQ+xeM%R<`TV4EbuNI52Z={ZHhrL`&#I3Wt9yUe& zb8Q1N1R9sSZ8cEe%rD>)8cv8Pizq4y%6EB$j~+T6>)9VZJ-%somz%5Bz*CN{KX)9@ z#7it0E2tM0U#LHBZXcB0Nw{N7CiEhX@@U+(D{){2@8pckFLFCFF)}+a zj{>c&=`{QMRj2_t9FpX0v0_mo5an1 z>M|W)1=N=EaDuDT2lR0TAw>?f2);arpo<;-1K*}V^-eCq)l626>r?j#kkx)&98P_m_$%5q9 z@hxYK&-PtlRM-3icgY56A)<*$w&wn-8j&IE#0pI@HgFM9Dnnnxm<{I0S=gMWEmLtN zFP2adQX*&!6sj-Qv5(9#wcZS+W#;-((zsdN;A{_`W4L~R6Ve|tGmHP&-}_|;Ji5qr zKB}?^?!xhyjVr~p5r24XeO32MjMHFbd458_-6idb2pu=QoYi1la|HsLIT!nYE<;`k z?ogNEPaX!3mM3@rX6vtJWFP&bk4S$xGz*t5?H{{T7n(!9ywoU43wDHYXD)um^g^}M z-G^L2^akz*3+;F#V~7uRP$`@eYIZ{R8(k7geYa@8USPerk&n@pe_f!n1DgbLh!kfJ4s0fM^3e|Ns z&l|*G+Vg?qR8eIL^tl^yO$R`Bm}WN(zN;V}&+6ZjM=LZ%F-iTO=-myXcZYR{-FZ+@ zP>V#Q6eZ{)4n|sn>wfl2yk2}f;SsLaM~6J#Fsq!%!5Pfl+`%LW$q?r=*of&GbGH@G z1G5zB;K!P{*RZLWiCHIVSEvlN;-eoN)zU=bf5V-kX;Sz$l8@^4rfXWB&#bhB6b%@N zE5!FBgm0cix8A+Upx3cyn7_1`y@?E-D6zjwAgCZ=>se;O6MQ9z)sZkM;wv#Epo{@B ze~L1^sB+D=r6%0#q7onCo4_amfwmc&ptx2Syk47x)(Qy=Jp@&yn(i>v-ZN{$p!1c+ zuk@HkCOq^f8v;@+H|rB{Hf^x9@bXFcDK(UmQ_x_q^)~IQ?rB zhBhI4VqrZT*OP{RV4WucpcwL4qRPM3I(e_y3AF%5>F=5=k7DbbEnv@9y zP@?G}v4zw7dfBAzE2tG_P|JH#v;)hB_piVu+dM4O!k za&`6sgeMtq6u^`UOkY$R$~*4)n+0q2*SLskeprV5<<1}*FR78UK@3j+R@dAlzGwv- zAdPsR%2cu`ueyY0DT3--)}exmN)c&M8L(s@&&B0OCRwzsX|#KXm=7-k9114{5z5uW zvd>%QeD~s|kt4^gocPSE(On0-xXG!5OM~yJ3xwEpeHjZ}K%{1~wJFe^;{|wp=C*Oo zNRUy`y>Qu5?KKI)&QxQlfgS;$>o1U5EeZpOrtgkj-;)7pYE3c{SS1w*NN%nPVTs((RpT5xcsaGXJIhi zo2-fHQMmt&m)HZUL7=X(QePNV)F%8@VAw_tllGJ_!ddb z#)eS@fe>0yGGTrJ2BHC7C{y!T9*b^g{2m*^Lz)Lriuol_&`gK4Ro4Oh*wxqngbkOj z4S$~{C00RS`(M|erSt?sC>gEkqnp2xC@S2dn-MY_rf7soUxBYV*B@m%1fgG(VEy>o z7rR}jOg;>WV0jByz{smX0;Z z5<<>jgp5GGR@h0lyQmB%p zvivj;=xL}4A^T5?fN*of^?Ik8o?TN|UO?X9q0Pwj$NR!cSKAD%KUbkWylyRa>djW{ z%I``)c)wBnSA<4jE{X~)aJLab7TN~JtNSA*g^ikj6%C%&@P z{!E`d7!(7ABtU;#;q16sLyNU6_8+FrXgkRNNf{Ad?q*y4TzP7iEX5~UtwPR|DmZR1 zb7Vmh2y-d#1NQum7eU(nBviGjMyPozt4b}sWqL=O4V+IOAj5~}@cmgW*rVNbi#l@& z`$x_?@``&HxnF}|+Nt96FLN%yhT9xJewx2zOiX9Cck@0KCVxa+j9`QH(r?R6eLN#K zTiBYfHf`+rZlG#tXII5P6D392Z&(TXr2~XmL2tV?gbR9o)!FYW*OBZx0CVLms5~VN zSaJ2raVqFH8je1Opw(-HgR;4H!QG&`*nDB9L5A`A-8}H5QkZ%DJ(;;KNDAt{M^aR9^3L6M19YAwh@{AfUmC zy08?XXf!E8?-~dWUE?fj(^vo`?Vl&%sF_>20kseNx0-bFv zL+#mZoE=lpw|LruKTjDIuA&{`=?dEc&)MP0GbrtRZgu}!Jk{;w4aztQu|7NQhc`!U zy+>RN(`mSnUh>%RaZ`0*g9XWSw}-a8Drox_7>z7w|8p;V0eAmmN<@aJHHyrEpBcB zPfiBQMo@A*a0wh0=H6~;dn9#z1AR02z_fXe2De@9rdtuE@?y0l#};=lnL=^;A5jFs z8x2IYE6sx`@2{PJF&PJM6tc#4lk`&SGV2f%eQqHeWX)GBSV<*AfH`$?i=Zz1sFV0L z`>NR6PaN8QB+i{ei4}4wu1_>_WkmoFB&TjYS3DIW(Z;2%tHXtxmIz&(_?)0^XE4{~ z#oll8ug|tPnee24+wTVF=jQ=nnalZTNS!=L;AU_>Fex^J0U0$C|N8FXSCD>s*=juz zz(=Xa`Z;7y;o`aD?Y8a|s%=NJP9yI7xlD-Z_Us71mEJ*ZPkB*96;23H1Ye29$X%8> z=R^0cg{PuB|5EYAk%>jY4F~uqa+vLB5nHH#3*V1k;og%GnEY{+b|W z3ndJQ9qN0col#Q={@WZ96bq$rOu`3NC>HWzGy3QBC6ZRe42-Sr8;`NH(O8V2{*4Wc zxUXwE=Wgb zu?L(xv>X?2^d)?Ng7aVwwri5|*y9>KFAh(|O7@*!t<^_fV7q ziYQ!ZeS3P3TNLcujbR$&??L3E^-9maJh&{=+{md5@Tio$Q z%Ac-flQ~(eY>=E@Y_@@sdR;fh-Um6LiNipI9PRR%vMT9;!?0@&txjjnf68d+n3{WcAMvz~+!6tThU#IR~SI+<^Pi9)cHx z)lib&%T5^~MG_3-FuJx`no5}(eme18#(FmZO3i3K{?qOqj0Ezhc*s?oOcjaFHQ$^w zPX#rL`4(T)R~6Mr+?3%LzSM*hV--VFP@aN}CFMXQQKnMdywcyaQAHDfdhEABq(kx2 zsKs2maAhm(Gcz9%;ZX$L+ZI_8gd4t_Ln6RPC#LJ>WJnR4-!5=pYUyTJ^9H}` zB!2VCKE*NLrot)7fMm)ny-PQ?WK+aSpEYUPpf`I7(1w~)X2wV>1Cnk%0-h0VpZu-oQn>xsx(M$!Tl zGh&`#oD46;Fal7Vz?XVkEz4{Ezgut3`Z71dRv<8=@8*UR%#4)%wY#yWLoCjYw+W_6 zfi{2T|F=$g`lv*U36Ryl(PQ=sH;kA{fDGw+P$DWgS|zRPeG`K9axxa{ogxhDyQj*n zzxpB4)j|{fy=$vg=%Q&cZa6E9Qr#1gr--c=f5$~x|lCUtvjU93ibW;0$+Jk zklmrTY><8>OWj;UV7!Ip0vp38H<#;bUUz+$Il$mTC-p!j5nR@(zwx=o<&CFG3_O@W zeCPd3;vl+Fs-6?-;qksupT%|SRqb+f$o7qs*3KE~Cp6KR zpL4F*IcR!;68DU1q7-BYCHUf~Cz>cCuNQ10m4fVm`#9KUolP8okm=TV-n%pUkK$sI zNS{>dRdwtf48DhlY~LaXjjhZPpIiV_FPpYYWbN}4jPgQ9AihYn+>xg0E4hDtg#k|2 z#EfW8uf2#3Z}JL4x9@I_mcO-ujU8&amV&>@uoYYhrEU=0F;4qeYmOw{d{Z?E0}()#eVoM40r zoM4-BdMFwjAfF!z!gU%=9L{Drf!ph%ZvZNuzKgeVQ>(pZ>-j)yd(1FqV#iE|_mZNw z(;!g&Q}w~Q7XvJ*OSES&o=M{aImmO zyNsa=zXB;F?eKKz!~|~c9L(cL5Ku+ZSL{ehbSTLd-Ye|f@>P(1gwwsuq(-1F2xSVU zZa_cU+d=ex^}Of#pwM$Q*Dq%ef+GKrGU;NB=gE3@jVcveR72V--)aJC5N^|LZ>d~e zWzYQ5hqFm8wQ6KwADz`q0v-w0w7)f~!r$!SNRiw{W;yO5I_o%w$vhf!*VhOLNat;? z4J0ImtWOR&=JdFtGZ?^8^L)qj6slrl`O1i$Xf1n%PqK1iewt$a{x!I>0>;kra}4tk ze+M_GT268;%k1?1z##_LLjD5Cp~}4TpxI z)NSj=s!yXREvWp15+&la^eKQ}Q0{sQ|5Jsv*7Kw7!@BymqmqHYGl{*{6Wn$+63)rK z&GkA=LCF#N7Y9^0uk=$SP@|>YM?=d%-}+I(C{g*&e(lDN&ymtrM~*Vj1GUH14UHO~ z?n(PW7~kL~D&TlA(ces+WFdo&HJ1|bed0mp3-MbU3VWXUC-8oSRl*2$?@4^G;|NC|o)4FL zZSkGwXHP9NVe!I{$XKH@M81;I(3&b|zH6-1bufhDKipl;Gz{?F{PRKKyWv0KUu$G4 zsnD!}T29|v%rzdjctF`IqqA_sU@)nJap7=&dm;1v$^b!>I%EoxmL!ljXZ$#}=W+Lr z-Bh|LPqbK3xcSSL!cYFWX*o4!g$kUqa4z?jJ4SqUfA~*F&BLGaEeAg1TXL*%gLwJ$Q2te_)F9nA(y>P0ji>O8 z8(cgM3O6j?aT!3*}2WRO*@ob#Eo@Kk4X` z$royfUz^S{5T=^TzIug=CMhDQ2oI?V748 zCLBq!o*q$q-YzhyrqX<)n=U7NJ>p@t9y9?eRL1=8_(LmN6p;({T^e#2?9xAUX-E5r zc&-x#qg|@YO@DV;j7krHNy9U{W_)G$#{ z=r9D>*bB0`8^%3?E!5toJK>}itfS!gl3@jDgbt|LLm$uc`7}n!ajFBeGk2aG)b6ue zpZ(d6i9OfZzn_``qRaLRHV$N_cQMR)1~L0e;nr_DjM9$OB<3yO8;DY;#bTN_nnIMu z37)y8oMG1Q=7O;_MN_J%HKE1ZvP{0@cG}uHU)@!$NImYDWwa8T`|D*P zXu(3PFaL?N;%wS*O*I$@LA_TZ!zYgoE~{yh5jRSvOOvXoC=1p#`SU$p&OBomujFvO zp2%=4!f>yp?~#&{yYENcgV-etyt;AYlPOtBl@@h_t2=_VaORTzSBU=FVD?^6 zHkt3o#x(Jg$IY!RoH_W-V@5XjAF=JHE!a+WU7a@YtQwC7QDViC?1YF2e>u3J;j%=#@3!SRo)9>|*0Z-Lo=TX70E zZim(-!(t)IlkK^Mb>RVqdv((A+g_;zJSEs~T*Mlfg(<7$!@fbP=Ei0%6S^u{ihkFd za=SIpuTG?u{NCH0MW?P-=g@xKMNDY9V9T9+f7&4Tc_sF&GX;=Jx<}0m2WFm#bO!RO zh3KIc$KB&aUx2^5h5Y{h&hy#d(AUZD=!d|8A(N2+1$xjh4O7HfmV%b=Y^fU`ajqw8 zyP9rFlC~7ue&G7#0y(zNcw3KX@N#MtD(mUDyzlrFjZqg!j_3%9a6*)k27#~}?gsD^ zcEkf{(xSUO6T`FW0q>|fF}6bfDAS6dlQtmRvvMwrGh>l0q|IBe9K;R}{ez7EyAm+S zA|IOCY-Bnc3lwK&;5XvuY%dN`pdZBo>n6Z6Nr}o{uFm0Q^~;#nTQ^}RXNFN${*Sn! zEcL+SYLE8wy*BgJj4rz{IluZ}RZH|ykzM`?;cWqbgYSCK7P@S`gaH%#g=nrc*>=m@ zghrNUHx&OHu z6by!;9^;=GWO_QhC*b4t)o;Ww3i%~Y7N=vC5urjW^lW@w;{F}cR#c;RDfUgyF5a@( zF&1f;vT_$0MrGc2yvCMNRm&)Rw<{!z#vhY;pIa_dH>`L4M-otERvQ=xD@7A8w|acP zB*pkC0r^kn*}&V%?K*(Tb!quM!@F{nrck6nc=54i{4Yr|xoHi8yFN&rI!;dUrqB}J zS{f#ygYPB#Xk}6(ZdT~Io2#=Nli!UJTFd*wLTXR*Y1^&tw=x^FK=^wbepR8Y(rc?p zyZ<>+8b58llbBiJnsRq1baFgl_4xTb&03AaaI6bqhr*S+?<)5M-cIKE-%ZKxM#+YS zjJb1sK_UChwW0s){)okVmP^zH(QePr`l>w!3s3ie1pIR;?bPlnB&oqJq=duBU%ZqF zPZ&`C=HY>kJwt6crSFpVj#fJtBtH6&@q#}6qZaA7cpil*)sgr^zjs2>q{X=|GxZx| z<2h?8t>K$e3i8?augEB1p}{!Lrg zi1f-_!g=kppSElgS7r`jP_~be(hlz2_Q&yb{d4(%S6e!?ih@_=h6pxjY9ynOTu4be z0lASw>0_<>h>SJHw?7V+sH9z3KuxjJ`#t(}L?%XZ+b17$X5#k^A|h_|knbt0>*1G# zovV^O;4?9TNQ|?eek?J{Ci^XfqNC~YyCt)ueq>TyjtbMCu}5y$-n$*bBMO`ke3Mt# zFz>7oPBGAf;B0Mele_`~cun7SS&$oVgCImiM2X{8^YI%qj)9$>9b4cTB&P|XoS0!0 zOAb70m`!AM<6zYuhsR*V&jbovYY2ok8!zX_-+TKlONRB=2`w0=e&{imcpyLdP{Hrw z?q(<#oZcQYt)bj-oi4K|PWOKG2z$6-CC^1U^I2)REY`=d_vEq7QY$cT{0qYJ4tKn( zT!6@do`X%QPS-p=Q-l33azTL}4mU{f4Y@wbojGa+QGH#Y7sSI7*{PK8kq?(L*7u)N ziFPQCtZpuW8lJ8n+)o2aCGDwjx%m*B{vBf_)N_o^r4bpeFO^#s2OxI~AHJ=tsWdmA z9Q(W5ks8x$Ke37hH%vCiV z=UMbKF)pGnS)WH1?u7?GLVyA{r$TM3Cr$w={7O%h{=hKgcHzIpTf;<0&-2k;!l$bM zI#AZ6upaV`ewrvhhb16w8Ein=QW-3@-Uy-TI7L;?dVH>2s!#>%WEW;joa(kmg!P3< z`tK<}XHseH#3yXbGlOj^maeRerZZ`hUllEBJ58{u4eWeNB{;T1f3{=_P9sc>jFP<%8h1Hio8}=Kj z5{nt4F)&1R{~e%i#voqqJ=)C*sBL$#-jYXy6&MzfdA8e?!@G_vF->OGxQJ4DWtGr zL24c8^*q0=Ie)J7NQH(OfD`;jOYv>jM)+R_tPoclAyA`8)4z05aIk9k0W||Bn$RiD zja$nwI$Gz{&zZ!$29$0e70Te+NSh-UBG6pM)AiltnSQOAP=v%eJIq_4flMf-E_W`? zG9=+^%UItR^2|yH=uot!Pr~ou4S@ES3CkEp9xlm)o-I9RW@w}5f!Soq592Ik@0>gC zXbtWshgQ_cFy2p?%sPE-9DNh)y{<6Ni}7k{Dlf*=cY{;|`e`~TOOajyyynj_dun0X zyO4I3-)CR_oE%&|!;D!w)(=JZrr&z~l`PiKKRaJoY~~KxcLBe;*a$%uIaJ1vC=o|s zTCv2_=6dCS!_;R5JktVbdrvNt52H*>(DS$&Z>6Jb5l*z$h0h_YNFO#(R5Sl z!SrZ&gl=!@;Et|q@%pQ{q{Vtj*mgBtGT3}LTx=I=%NGczP1M0c79_&pZ{|#!Jug!0 zQ*lDV%GOpl4a{0w_yPa}XO3~;6JxDM8h^hEKpkDxdfRo5#C~v%RwZ=s1#|%@@!>Ko z8IA1gLGYE{i{WlaM;jC=Q%6o+&@r#~T{4r4FGQ0T3(U=oPk+^25B3V?&~M2crtU5t z@!KWO2j2beL-KXVXlJMJXLb$f=45N5gojH4Smqp4P$}{~E`+cbd_X2Jm6h%LV9gK(3}^0q(~rmBi=0U(=tHPNBn(o@K-Az_M3)ArfO~fD6oc70ta5# zgdA4RS)B~#(iA5%OPg1aN6TFRU0n@4N_Vy9LVK?1jT>T^nvdthv1hufDcXPHr}=!e zrbyjSKpe?i3X) zCYyjuE~}^$%bd}1E|FY`Bm%-mdtmosF&H=+A;d$17Od*_@Fi`dycs)x(gwjyYF<@c zYn%9KzZb_NC42-f75+cR`7dJF9`4~fT|!^%#6}~mcBWn@RvR{A2f}suI*~PAPPm{C zyF_R2ZZas85p@Tv3~3}qzv^Yo5)lpL&6zXHC};#pM|&#=GqQ`<@%5A_3@+!Wh>~~rz5C-&K!I8y7LjY8~@hn zidyZV%faW~_HYO;5#|Eb7t-Kg4SL(NfL>4m8P6mQEvaQ`<$nx)Th>7tEUUYfv8Z0#5;_jthHFIF!3I4bg`GT2)#R?HP*iercw0&#PeeCK|kvKx?~SeZzswg7u^)Ud{GFr8z~Vk zlN4|IZRMA(pEK&A$$0CFqcW#kr6UuLbx9yJLcQn<-xsQTL~J`3VSf#6c8B{_m?oun zbLqg5n6Y|JBcgx?>D`#g=23qtS%bdo_C{YsUB|RBGwKaeN0GOWF%&*}?Ldx8AauZT zEjDH{KcYR_4DnVDe3Y10L{5RcY`w%wEXS7m!LU(_jW70F77VD;qJfmc7eq%niu9Q# zcrll>DZ;AU0oyA8KPyn=LlHc>)^Ugn}`}6;x?=3(~^nb_+ z$|3s`{DXZ`wpsDV#RGFejy!EFF2OPE{OdX5$3n*&+2^&^GAE-TV^(kTg(8OHNqg$v z@>%qx%Q|duR2v zdJxn|yE5|&zLMmz+T4-2i@U_v^NDB9|8=diWy6tUn69(`8LXB)vaU!(XT}2Rk4W19 zj@n6+DyRF>Ws-%sfAhJuKd11J(g@ZM0;u}T*z#rkjUa;5d?TDvacEU;TS^l4 z@#;Kd?sD4dMFdq~_Ixv!Td;TKq|0kn=KEi3P?iU7%cnE?!drXBmy3c1@gwQ$J(PnRzYoh3)%x;E$SXgN9r=(+ReTOZ02A=SUFKU57%51nGR8 zARu$q@JrW`H+`DyK!oSKYeqw?6opxPwe9I_$Y$GVO;F+i=|B8$GKm}qzSo88X&I+K zAT`GjenQH_+I1nYMtM?UlieG(y6S_hCN)Zh8mq)mprr=w^@ z2acWZWsdg&7ptgx5zdk1#(t=>lsMH0VhnpRJ+V+sQDDtMPUETD?6G;t@;5fYPK+{u zxTv7>+Je5YgmS72^LFg1LE}6VqE8lHF4bQ9b$`Co710;5-fi`5Ntey?uP3PROs=O# zCQ~DN433UQe1|rsl{#@%prY<1gq5X+R^Z;SmE4y=JPFXvA=XhqmO~n{X>Nn z&uBKk)^g3EFcr#QYLKG*mu!qbn+KoM-Fy+ld{26n`i;I1pPxsxa+w0)eYJw|yw5b4 zgY-+9l&L}1d*auF_}!WP<7j#)4PU%#8XNI@t-*PH^+TREji%d*mr#B(;cPw?SYQyJtLrokX>mukVMBUVtpif|vr z5tT5MMyJvI?(3;FI1%CQP@E~CUt%zutFhQgzF&n47$wY7HP=2dd^@3WbE&$%n=+Zu zy*wQmGReCr3D%`Y>~Cg;ayDmc1w&swb4;$5x!G=K1~noe7wgplw=$q!Lm2#~{$$@4 zMCXhO<#eqQ7N?>J@NDFBd_o7hfa^GZ-jb$V<_gATe;onb4Y!^)i7x=i;Fz&I=1(3% zxp;FRsFMPz;*KQGK$c;>?KTJ18;ev*q%Hg||9mCaBivu*65x6v--g0>ybeBJ$Thfe z<8u*j*d>fii!H}8r z67vUSBI19mr|sC)_v@eJG5mrYBPJq4tk2g8gKdAT*W>gqb2SvVpQw4b+YTLcE`aXz zYWZTEMDu5rI$e4f4+xo2Yvf%mdhz}m_z+kCut|MUSIEHPZ&CF+x<|Cg!9H8belWgP z3(Rq_AfVS`s`nZ)WSdLb@i6Ztsti9g+pi|ok}W8h@T`h^%501a1KgFvq{jscFUs)m z|6E9YU(v{+2_cZCf@wVz3vq_#KivoSOE%<7*>`y9W%at;f$am(X$;dfP0MCg0&+Ef z_}@hmN^F2x!~xy}AT0s_Ej94R7Zv8E4i!Q;T@2O2Aw}irUtuWIqL$N8`QcpBcao59 zuAtcEm{d@Z{BR04>=Lp$cjZDegh_+>HQC8h>W(6i!5b}PgC9rV+&N|a0de0C9WX`7 zv7PzE(h`$`q`tExw`SleyKDjb)^uA~NiWT$5Kotp^tRrMeLO4F4RfJ;Qm*AW=^XIl zdJL^H)P{g-(er~Xb%AyfO}UpvgL31cSQM0x>j~6zPgU%M7(#*Y62FAO`*aEif%se? zb_8~UM8%EAvrYCnGWB~izFrz2gn@>jb!h>9a_XfJ3_T^q3*$Ej3ldn_QB9H7M zk7Xbg)%N0X4b>xZzss#f^d(tpS9B4!DxFYZ?knbgQSW!WCL@eJ*ISTh=onMVO>r(JpAv=iu!__N;^5>3wil=+0C= zAETgv?|AqT+rQ)Jv)DS^0)1g<3hAYfI+icZ9n*sb;V z8`v-4#l8G<%GxhQ^Z$Q&;EKNb|9ywFtA*+{^8cf6Jrire>8AMDj?TXVe4rE-MIw*LbMl= zRzU%OJWvdS!M{;$q}1)<;L!142mJV=*F78@HJr5Adli?T2aB$Wp?#ln13;$Lj0rxdVuWa5Z22?^L@q59esM0CCV3?X^(-&J2tbQW`i zZQ4EO?BwD=$>V#w1|N-TWgRVfarNCXmUuQS_4w}LDJP^X28@ZWZ96u{HADojmeZZ+<-Bq>`UHT%5>#%8Z^aFDmbWR+HIm<%vudUsP0#g;Y^czu)VKEr+#bjY~A{mU)|}{Sdi#E z-A-c{$|6^Mon-X7DAsxLD1_I04PnRdi}0a$Ql%(gSap~f7qt2Df%f}nzi5=`U%X$N z3KtKJOeC+A7~|Nqs~sJD_QYdya0iSMBDW&6BnwqQ#7a)99mXsQ=chW6!i@;sF>{&> z3mjMml5iTIY{V*1+BEVkd&KUSG)7D)2&X{&c|g~DNb1` zV<6!TV|R5PiR(gVeXp(`yx>GKaa!*;S$R*p@Ow4A%Zz3!$(@&6xAhbT&%tLSuZ5{X z3_N1|k%OWR_7e9wT*EY3f{G%VA5GO892f)z1+(L2V!HmsG2Q&l7kc|ORgYNUb|+il zYQg^Bg$U}WAF6aTQ~5h?zrWy?*44xX7ShyxeZ@Ip#An@ zU;LS&@Ik1r(PnQ`W_hy?)!B`JoMmd)gt`THz}~oi5z~P1QC0-?-oTh%tPxv}b}j$O z&kwm~y9adHo8?Ssj`)8VP?3atK1R^(g@It31HmTv-0!`wd!LwyO6-1Q>gfi0PZ$<0Fp*6Ec z&3AlxsE_OUmhG50(dpR$E74S`W_=8+$13{$Dz^8^g8himQj@EuT|aHp-BIJK%X9D> zTM$v~-j5#OyhZGdNzLGvVQ*koEBjVC%ompa_%ENh2ie(QCV^%1w3lj|fB6OrY=-{n zTK6yT<%S&nZ)z7he4nGMfuI8^bMUhH*k~aBbe-xc5t+&(YC@hrd_7V)&Ag;O(8mWm zkoJJmcYJYi2t=D1M0)LZzjT{P=jKoFMWf|XQxa2YQw&(^XkPm*8*pLePKR?3@p@M$ z(eu`=p6QDhPQr5L=H~0*Qzrc}w1Y{ULAf#sAYCE}E_p!qfiFyRKVlFtns*QW0Kr?0 z;6GX!J^EsO?hd&{45c1AS|EZc7ecKn`lb5ZsrkB-1PJ#a?Y^>sy`y~X=mXDwBWX7n& zPqe8eH$+OCj;RnLOLoldI5E5E{^Nsy>|dhyI1x3?L5{4TYNkINm@K$%rv~VDTGlQ~ z@TIae(Iv^A`BB|}1FOYhGE5%Ntlj~8i6cp1XI+nz6Tz}SfHR@{ifRb+ol3D43Z727>KZSv4)5VlVo6X(V$s*O92{Ys2pZ)eD zg2?aaVpoqEkGK9RD;PcA-@u~saK4r(qWo^@VO#i#7eq3LNxCO@lB{tTPMn`*WApV| z7_8(QfOmVGhUpkCHaG&X$X4u$30VZOTAu{P7j2>U{Y&#dmBq9w>Hdw zoKv{l7M@aE+L8>zxq$Tar~7S01bBJgO@gALBB}fd*s{6^3^!jb4S?ht1|g?buK&EW z<(83c;l)q|bNm~Po+8y^35r*supd7?9)pTPw&1q^8@7aS9ybFzluA7+jNP@Z50)(e zW6oy`B5^U0>UZ-}f_vAI@5U&Vx8zDCWxClg{EpJJx!-b)5lQP}|2Qos($3^hreq(K zR3fOT_#pWi+meDp;4Z)Q}t~j$k1Uz|e zzWp-KFL^KAgRi866?sf|F9Z>s>)3V02e}Twoo&4Y zcD|tE{2>f~^HQwz0Tu{=+R3b5;h$pNa#N5)gd?ibQz!)yp(p5I!ypjP{PpXgz@d8X zaPqT`(dEJHt9ag2d3nJL6|2U>nvRfBz;f!h(*`J<7nEj7ii$#E>;YtEy-h{#gqhb_ zY&sjLHM-X{jze#!M`vdGeyLZwfcgTv>YK~jR?N1-{Im}W3JRI*R>^e254#F5MAm># zG35XBo!;LBiLe1s%;fgpE}Y7zPiLJ}k2u5;X+jVGCR9{aPt%`n(&1zi*?dMkwm2>3 zYr_Bh`Q!H}OCY`q^7V~C+*b>W4W8DUp@PE$C->F7UnM10gL+hQa&kXyI#6MyIUp1L ze0yX&Csuw9Ez_30ap6Wp|!URC{V0TCkU~x6_5g-Shv&MS+Irg*_b~4 zf(vwK^Vru|UIVcEJfp5I(feWA+X&P(aQ*4C$9Kdd`lpEe^NqwGjH75n^wY!6GSZI} z5j)FF%`Gy7IriL`@!Yx^0 z5`awU@(o}WtQdf5>T)YIUY=g5H!)< z*?RqUxZ;algFGaDBTnx3Uqarxlfl>|UdJ<~0R=8Xkg-}Cy)1mlG=^0IEJ5L@wBkE? z?eDmx>EiS?*6BRj@wQ}(J2&kzx6dKAqvNxkwy}~zn6jowR|2;LEq~nB`U%FwguOlN z`Oja+pCnDl>#zA2W&dO8g;6hz{iDPDYWHv7;X@aF(x}>U+cx$%z7}CWKK@H@S3AU$ zj!|p%@>~^iwvLO73kb^1|7nLt#%-}u>ixh3?wT_>FLR#{zy(o$nj0hB>ogY{G9D{| zoh4*ZQBfdQ{890RI{4>X!^wE;K(-OiDNp3d!6+{zwqH?6>AjH=Z4Bha(e4vSf^xw7 zya4Q#xt!|5$qPR?u+*&}JnpwX7LN*X$iO zq2#xc2j?>hr}oHi;5y@SGc(~k*=*`H`zpR0sXI70j80B=gOrQ-Fy0GP?&;Ix@>6F8 zb8>R>^=YK{AV{(fP+vH+=6Ab^bOym8OBb7&n;UR>>9pjsjtP+#nW*Y;3e6&r$02Un zQHvMnOQlO0s_?vXVrjWv!!?2eC4mkfF*WrmFfb5$+;lEsVGm08S@W@HWbKk$G0sXN zzq6HIb5W6tKpHMl_aae;*xG2G*-xPNg0HmI)p=?7&oZIw-#KB&C|5Z6CO$qsm*eIu zkZ~SD-com80H}FC-7TwE8q2LV52XpFfCWd>nl>{t%l!R2JTMUH?B+iBY2dL5)Hm5w zzG|BZ)Xw%4SV6dlp4??0-ed>9&XoCNTbFxibEneHk<|CkJlu92 zO|y0P@`lziG@ntMA0E2!QDfA@k6Pd@u!w|^Wm7dHGs!Ugk#{LjCKjl&a~Aq_y%9@= zzs;A%44PY5?7g3mlh@$FmX1Md=EE{+TL;{S#RLA35Csu!dwQv)<@PI`Tyj^b*9B9W z=cT&WdCGD|5#zLuw_t*nllp2?#jFJZ5mD@rF}OucP^_%c+AG|T>Vvw&h|WR%BiQSL z(QDM#KjGRic^29L;NOLqe)|`MG&?>O*16fUONRAmWwrk@UW#+SuCR{6O0yl!!LY&I z9b9kh@aFEpZujPyBJMwBCG8K~DF*bU29h#l(sCW#P^q3M+lGZYa+X^=lBL=5FpnkO z$6u@aT0-fP@td8uf-m<5qN^*bQ-?D#oF@JDAD}x8;q$hQg0jB~d-9>S2@rNjh?bVt z#+xKrZb_44IHAad{C=eSG~tVC z{4(Y+5245*WBy;fK4PA@{-V=Bq1k(51nn7Lt>dH&1wQ9;!i*U(lTG5f91ZlAaIcZM ztZL24a^L<@P*9LjUXBYF)Y%T;#$LCMNX^}yA5`_Ksw#4aitEMYM#&22%`EXS7$f3$ zI{1$OfQf)94eQ12O8|6qED2#CAzrxE0XAlqpUVC9+QrlJ!7H-4wI(Ic48|?ztr{)6 z%)ti0jI9iiSdEK9Mdq;sn;jL*q@<)0TrxvY6F$P80a(P z@Bk`lH8(*UL3cbyI$#OiUEBZC%e&FKgn595GSWbOs(_Ly7i8M9LHX)E5-lxl_McrF zs8sI903(A<)Y;VL>+BhKsu+mpP7_+5S%t@qo!7&@PWC<@K&GEAYawd!j#76Xn{l6E zl+k&?wzmNN2G9i8wUF0Rbg_UTSL(L=dPam$$_P+WoeIzVhKZExE%jo!{#yJUS3;XDYnbIjJ zo3OIv$NH#|Hty+*iZZFcQGhOnP3Va635b>TMJ^s?ycX#CSLn!fU`mrbF12x{tB$yU zWh__t>f~|aF>)>0ykzzMe1xi8Hr{B->&~*IZVgShPRJYF*!CZ$Qp6ST;x;&51Em6( zQKi%27nmxiQ%D<}HAxrL*J*S*q)8t+r+PZ2di8jmoHw?#r0vpC2JW<@0mwz1ux^x~ zPJ^k+Q+;|o+Eh?yKQ)Y;=U1CU>&jD%)cv!h%Xp>p#$5!h&Ki7t#O+O}Ci3Omk8D>j zw)+w}_`iJV-{7Jl!4xmAv~_1<(ZTH_QHi8-r<1fTLz&&mux1l+mBvvp=U?=*<#5GE z4bw0Eb5Ej-J#g?TtHlEvZ^Vv+Wk5>zV$;X~30HO^$DZ1E@uB^KHnu-%%7~+%`E6cE z$-Y{s2wiIKD{}q4zlBf=%Acs=KlIA8>q)v-=}bNt+L7|}xuM3Bsm1$uK4;O0&!Q0y zw0MoDFg8U-S8V1GWUzs$2nj3Fr>e|X;AIy4-+2RKLT>S;%E(N(edC0*{V{blK4awd z_ki9|!FgI_^J6`t3g$=@iC-GE5il9z;OGcgeiEk%mVEws#xp{ncW|}ya@NN!=hT>( zn5$QJ!v92zgDBmCRf|8Ju7$Cl^$I`YiYwKfbfCkSc<(Q=G1DKibeuG7@SW2u&BuC| zR?3H#-j=m$%z!S!nWQ6hBIx+n+PgUI9Cb`}uHnWTN}f@DeWUd< z^e0Ey)-d_SKmO=`pEU>p8ashZRtjC}qNj?=bj&cOPMvCF_|oHh6&?0M71I0(ac!Ou ztiULvr11HaL@p!Jhi5PUStMtL@*xEUDxUGls~XXh=4VwAce1f#gk5NSNpxCp(7aq_ zHNTG!r9I(V}To7_57|4t8@lh@= zqRIvmKLn4Tq4DuK=~eRDJP$<;5-HF|Rj$DekpPC)m}9E!(n`4H@4r)%FWlgAe0Y}T zhe=)!Q>nIy((Vmp?vtTRj7|k)LZfJtEDxJy3mNr3F7}PEr^?4l!pmhhmZqzGGB9QP zo_l-Z+HA<7zFM0ahfu*>;Pl?YYj`OhCREg)j$V4lr8Rp<`eQr$F%-O`{0<>eX>IVCu^&KFQp zy`j(={K@UwI*&>v53mDf4G`&guup5+V{UGCRwgV0JqkmUe_k-H!)-D1tz_Q-i5-X@ zZop5jC(<9ew)U^EkPa5_W{}XKnhARaj*<0rL(e4@dSdK7RS~#~@PB zN$eRWsPr=y+<+}fFjJ9|@-d2rLe8aGJDycXdq?7F z$^F>&b~nG$us=q`@B|1q{+uPuq9P9O$9r7PQn*(QwerbaA-ZgRVXQ4s{S;x~^GU_1 z?8NhFlNU5zyB|0A{^YfXZvV7Lb6f$Reuh=DEy|I!u~%H0*U*sMc--Rt_f{^2TS-;5 zo2d1=y909-7}&%B;mV&L7VqC^) zdA}@r=prRYOlSO5$He;lK8B?0*3iIpVR9xd#CAu!p-+OT+shU9m@BPq;ih)~OH zE=G9#Mx#dY<3|q0TVYCo_w)0~?5fyB0|8m|AQUpIq?OHk3l2dZ_v8^GaS{eDh996s zO}*i302Si=cUD!fEK8W#j$tLKRwg~eP)6VOdr9MgsozzHrqn6YN}oP{HzV%j=C79} zL>I2C^OE-7 z-xXa96_-|RbWPPszsyM!b2A4a&u+d>p4!ej1$C5;DPo7$w8A;m@VPFa3%Si8(}PZ=Txy*sExKg+K+$_?!2vV z7W`6Y^Abp*I!zYikuy1N4Mf;G>M6|mFJ9zh&vtEfQK zBSUur0$KI5R`NzQ?Iqs(racO&~!hn2F)X3Y8;f4LIuyzo*s!$C7S&=+v&o_G$Yw&&Wfwx z(RlUy;R;m-@pJTokEcbARRi!~+~uTAl@) zXMiy3+^-PX_tusdwHD1_y+59Ol#m2cS@VbCSH8m>-B``K| zCyIOP7~ol#%7{87<}D1DS%gLRiLkP{-p@xiUhPZoYMIhUO_AewDB|U@M#{vGQcoVDKx+1{Zv&1-4+nWc*x1Bo7{_#z))4rHm4 zP8J*ayG3`YX`mQkyIOxaXAZLi)v8Q!0q7^_cqR4p^mO37jqDYrC&(%;4oglZWvSo5 zJ8IZxf#It1r%yc!UT64DM+?%Po`RW*DBm^*63&5X6D3B|-ia+d2+P*U`=to~v=(^T z#>x{hYCIB}q~R4OzUT{#2|DcQFb6(SNoUr>LraW2NN8x#h7m~eB1)`C@3=UULk4y`j<0|#xng^R`kGU%0$*+*I`~TW9I@Ys({y&w#->ZJd_opi z&M@h%Hzma?qL!y#o?KD)u7iFpe=zMw6;+R_D^`F`W{Z|9)3pheWbva<5>B3TP;6Ht^S#h**_fU+3zJhHD_v|4i8e*-fYfZ_GpW>WR@i<;$g zuZQoP!z;i-fEmpjzUV9~;XF&kW0$B%et#z?PqV2Wf*tteR8?Pi1DAN`@bC@f^y==x zuu>f~V0)Wf&(V~Zv~9azz!D7R!h!DP>AwjD`)Ms_ia>>_V1rhMi#~&*f^- z8U2Pw=t!HKrj0!UH18D^_9G=?#ynLAOFcH3?nj>PvB6bufmY0##_}y;y=DZ6n`dmU zXNIthJ=+|Ztun(W(sCFRx~ko-P?qNn2%_>zgt1f@0U89k`vks(+?GQdG$laENpo34 z1%!zN*nxEi6$95jJT2wRc9Cx#{|51%V*N`NoOW;4E@?XZ;012*3@qmvkR6d~-k>Dm zVFjsIe|-Tip`n5AKh4Gtbk;JniM(f&>oD&p24cJDI2}G`d~>!5x@tNZ+1Y;8=F?}D z=?~vw>Ck#_2f$KNEWfn%(T&n==Ot_drb=~$*N7=2gFtz)0p^AsSP{V6(FvJ#frDc( z++ataKH2*wb(or=Q>(f5*fh(8-e*lwiGrIz%RoYoK|4Lt*}2NV`7U_lot>MRm1VY< z{u?~JkJ_DS(m14l`!~OqF>s%S5O<4v>8q!{lV+b)iO~}DOnk>;f+rndQy?z@&)O3D z<)5LylmfC(kz12I@e z1VdzsRYQm-OE2&*V7!Q3A7dLFxcMr62Ya+%H4mqJNzm(tG``T~BK`%kr&9;Nhq!OP1M_8{GytbyV z??#?J|DGi_uhAM#Zldp{-VW)}H;ROTu+kZ6x3Vx5iO$boq}AI7{Ll2c2n>TF%#vpg zu*&#Nt&a7FzZdQ_M93_9*KYd(*CTW6j4uNxvUj#3JKz`Z&wrDLvSZ7|l{S|SHC)`B zQGacqTG0DkhkpUKg-(pcjMB7g&|l=-i#fHdV(#W-tj)LB4ICU1p}c(<&aFeqNY>VK z2uZ~Ka|}=|c>(Tc`K{#cLY*rmsq`gqCGSujRgLPJtz^5Al2-laoDx!+jK-E`yMIVK zZoI`jCgv^1iUW-Y8`BR6+BBIPUgsRdf$wcsveVPk34+{oTr&>$_xJ0smfY3r?Px!1 zIlcg{!hZ~D-LIfV|N3Py$lbMM)qL>@49RqYk%b}9cM=@mZ|ZA+3))jlZzhFX&h_o5;Riz_~>=3 zj1+H%ySFP=!+&z;=WuZ`Hr9e(sw}~QNub)j?ogilo6K2>x2RWAM}fzfCB(uxt4Q7# zo+@VVeMd)Z8~-!%@bs|!6wdp}TLF()ImO*|eQ^k5({kp3v4S~v#Qge2>cqCZ zM8W}7u=6RQCPFKRnSWL`-qagN6{3WBQFjGaPc1f4I!-0+gbp7h6CzJ|_7eP@i3;2#5uo61Q#I-v)c`nA|RJ+(a5 z`ZJ4NG)i_MFUhrqrO*x=8_X8&u|xyWtDC&idn=j4Tm~eHii_ye9momMLX$d8I1{;S zY4GTrlwT)v(lao;B*#+1!&vir;>*fiBNw)3WMS%Edv1T}`qQAhR~0s5Wpcd=NO=Pf zx8Aa3jM6s`#^LeU$cO#nQRkXZ!o!RfmK!d^-*}~$@#af=x^l?=2wSSoYK|zJ4uCm<{1}5Gw>)=F*7QEK{C!=>{U(*5c?-eIwKRDZ|NPBi>Z`Ly|DeE`rG*dn=8`X`r^;8L1G2rhOpqn}A{%?W|EMI6YU^;(iH_Px>%zhpcHybv6;05*(g z;!0qwkAKVf1+M=qOEx@lySgY#ZdqlK_&1OgOxakqKN--I_L|TvMGd7vGO}8Z#J;FM z*rVxjV;9V0nJ;}e<8szeqs9-u9(O5g2j$MNT?o*9%gJ)_Rl6a-X$qNN7ms5$mP3iD zArOg18J10xr3q~8^U-(K-LU-oIX>n?zS$lMr}>_PX15WB*=S>K5^rqLD5l>bg(r}v zF_3ceZI)22MdqKJ_6wNkbMr2&%S$4nxCE2WxXI#aUk>2);l&`HT15QJTlIKKK0Lo+ zxa@MVw`Usr)&Gr|Gl!S$BWjkY-k)Og5dT{?*|4J;D_{KlXwJ4jW@;4_7K|}_5*+6_ z$_#X$R1Bt-$v+GGq}lkND3Z@+#zcst{P;vOtMc6=a5nb!=y{SNWjD)JTu>tc~(ouh;8hCYNV7_f>ZCotcMd^C(| zGj?Vh<>5FrcT|0Gnn&2+?$#&c#E~qmQad&|?qBKEUhqIxk5PY(Q`AZ zZN~BB!ePLTz?**OSkERGKE+eZW^#rIo6QPTIL+pb2mL>|AMphC70S8w*(o*x;!9;^ z{dl=vJj&a$Lb@YzauY7*16Use{r4Q;(Z-sjdwUN5{=iUp_69|A95ycjYiyqYImiZu zO1Zl7f+0`_Kzc8FwFz-oh)oE@^}s-pShf-p5)#_`P(PA*ed32^c^CB#Y~^7=x<5%7qh#=Db)E4IS*8Yb zC9IEu_NBz24ck&TKB_~vT!?Vk;vp5#hy7gL+=^GpR4p~e2-enSkW}f|elkN$)W$_0 zW9h0IuJub7>6}VvXmOtzX^cMD_$)2{cb}px8Dp4nBmH+R=cVNwY2W9I8AwvK7x6`X z)MbD)G@RUN%9a+>auL6b?&mBoB2cAB3zv?899Ri^dz<4IwQfAD^swdkikd*BrN?k` z*Ik@K41Tvb9PH)Q=_Bm+*+g|#{964+j1xkOQWtpsbYSH#6C-Bn_?)cf022KnYH&B_ zoUdU>P`@=VbK)Y>B&62*ReA*A(x=lSd0T%+UNLc7SW%UyVXU@L+BuEdoAHUD`o`f$ zv5(sG6&|sKdb0c-4*?xPj)wl65PY;=MS|xtmuLB{CA}J-!uLo^wkw#k-5x9~5A&L; zTw3c9B5J_Zp>$YjM+U8%$RQJ-3ffc08aBakBRC5?@aep|GniZ(+7h8ARBHA6Um@dIss#nPmOr6IT?FKjZ{NL6zLHE-{mA>ZzH=9Vl8q)ZG~#WDY($JMu3re3>%_ZH1hNybTs`*S)4q0J zBYEO(8qLev=Ga-Xa|;SQxxH7553%^%&ZY=og^?GZTP!HH*cGDkBk~{`3<@4TW8YH! zPKj^n?7llQIrKw%o#z`PN;;xD63_T9#_!ZcFw79ctgO9}?Ifc5Qfh8?(ys)1HCs?Q zd*BeTE}N1QxxbP_P0o@PPxTBd&qP9ivX^Vf(`n!b1htbbSR$JyDCk6CWYuQHmal-3 zK}0D=%mB3kxx+M2oI6Q({J^YfVnHtVvjiuk#`zMT^gDZ0jnpoxiURHqNrfxE1tT#Z zA@!^(K@j?z6cM|+Hm(!*X5xAR?tv~UdfJ2`nq4!5B{VimsAsonJ;ttDViT%-%HYN= zU(pAI!8A2_ZyNqB%n-AV7CycG!1~Cy9YL$-ZuDpF3`}PRGI=DS;=AbLeJOYnjJ_rE zMjGazXtFx&;Tqhw9SkN>!Tx2;CylB_=3fg+8S}W+L>E5x-cybac}}A)l2a*1dVhpk zaHty5g8AEyF~n$7e;Y38r7D{ph6YZw55H3SRY{T?Ivp^?%nop+*_w>hx2Umj|Vo`?2Tyk1Vu@&ptfkIVhH`C!LQe-eWtfFo2n9%9931W z_oX>5{{?Lc?fEkgZ1nc4T=<@h=+FCNYNk%On)z}(iCHKzXf4C^HA*ix?g|u%Ty_LQRn?a7$}4`L;1C%JsRzSG zj0X41moK1^*;gTJYs(HsnsMv-{S^RxlL#3J*}Gi*)XBAJcYP0E;Tl_{FWmm;D*%Ya zyf;5w1ap|lT)RWwBRnHJ&BP%joRuXcKyHX9k;h96T}S(oVS<;KglIO1S zj^63Dkrz=5qwv=-EzpDQ7tRX_9ZjeRFATB`WH&VW#tu_6edrbFc9-6 zZ|5&XIE@$u*l?EX{F?$q^pbV$K|@Lm(-%#0o*^bD}Jt z-@tnNs{z@fUy^opQoDq$H?7l!KNZ6ZZ_5u@&PdP&t)oV|`%ON+3M}7P6Wy3NWsgiy z=m+IL9LI@MRn0{DpH`}c>u*C=$c?GBWM7~Ls}^>y&&cm)`tJ|DHrz@a3Y@5wAuPoSaghdS`vkb zVKtaYP~#BWrwEd`3%Y`lE6~Fjotq1t*kwkP=Hus|ZF1!VQXe*Z3T6**4{(H(2nUmg zHBxGo$xjqN;Th5=b+4DPXEwx`a`os6NRK;=PR&W0xxVFohdpS+8S)$rT|0c)Zzn?Pq)e(fS1)~YtvuHk^ z(ib)XWa!&;JmW^TOa*jCvy-2H&bH1opu&8X>-CUeM4He03it4dA(I%{ls7RU6jtaa zaz+NCoT|Cq|1f((OakdIXOk2KeS8!X)%axQC|8E^SU&t=EQgR(apfJfZ?TB9cLYd# zu*nKhbg!aky?zBjYCxfM)?bAp4_0P0NMUaUV+HifaFd5(zA23!UBvJYO8lfOuY8Py zwT&D;<-ylKPK!P>Hy$t~$Z`GBjDc=4#CA3)wy0<@<>Nrj6w9Ab571*f`xHu38v9Nu zs^mx;up6aWnF52Tckg<4FQZ6y-d%q7dESj5`D$s|C%?kWCH+zV!0IXSJyzp<CKi8t%*Qz=$Mt{LiZ4)tL=(A@SsF3L18bJv%kwH_jvwa;=jwSs!G{{DtIZ^7i@6bzG9*hXOla zh{4Ndye7@gYz`VfJd|a;f~D#Nom`hy?Xmr`FWXWuTraL&8LBXLRVtXlDM%y9RNTox zAa{RFVrgoc0j&LZ)ZZY|K&*Lt3&%iKFWjVaKUURXDR9!_#i6A`LbJ+T+R4{K5IwaT z=`nBV(Fn86Nc~Q^oF>EbFtc90>PL&=|0YB%QOyLf_H34!5GlT7o$#N`K zxA95I4JR7OlDNvzg7zSUVbSC7;|c5{F8dqX>3W|`i<=XD>< zl_2Q-NAE~UiKFe;bBCwE&Tk#LS`zFUf$GiO(|HO6C;nKfv^W5bp zqjH{n@1c{@##Lo=uAdZ#A4D2aP~Mo5wPaUP#K@K5g%K^+k%j)iC3EaPT?Re(Epo?B zXsA(cUkXRwFI{D=oHh0ZE2>?Kn5MK|F4-zI@0V?v1uXX$m6CtM7r|dZ&F7UUeO4XL z`9rM^u^{e?_car-H6sa3%kSFH;aZWX<)5u;j+-DHqMezST-GJ%WJ7iNDVr(?{M;Uz zAiu3)ZMcZh$3^hKb|nf*n(H-X1zm90|_TO7^6Lu`)6XL zGGfEF!11QR{jUF2HuM1_$DV$SxjjdIdR~LqYfkKsjEvCuHVq0D5kNi>Ebi59pBnS8 zU-iLg@2jcqbz7Qfsm!~tY{Xs1SFlH^WZyK_%F>B?dIA~-#*w*5#p5?cu%m&Mci?mv zO!*2J^k9B$VwWJ~Lx2K#>qzf`nIneP@iS`DFavLIBs9VFPP5uq{T!jpull*0w29O^ zJB}2iWuIwHgVj8hB92ldAPbdi&nuWA2Ln!2X8ql#VOwK!<>-Rx-AbDBs;=z+uod?L z4QWDO@}JbJeDD?u!qTRy`{1>M7~%C20hgE_i7_m)umCD_sw@dU@uG2 zO{f#h`dB24j-&oO#wN47Ll8s0J9Y6iJa@IJ@6TVO_u;@8fV@D>PDBb__cOn2-%>9_ z{zI~7mDSP^!;v1jHjekt0%?*cqp~qU8b9cnuDh~obyTJf^b8`c-}BE*#lrGsHpa45 zZY3|lWcb9c$Vh1nY)q}<(w$0z!463tco|063gm)`C`d1ihQlOx|x|?eaZg6 z%Zup#U25q%6|xub*cbTbJH#^xEXxI+?I)tsf4-5aQc$*#DnLy4(6ZfxX1u5gL_U+# zHy%H|KrZ|#uJZ)<7QbkAVWHbhdjy`U0jVO%xAt-3Gj?xY3;1Vf4nD# zAMYWIFNDmth7)^khvd}cUrbbeTZOp8=Zi3#=#sh;sEa!`o+5?rT9~(Q+8M;2t)S{k zbIj&ElXlG1UAv5@CLwW<>%^yjUkizX&`nRCJyl-imB%dZx-K6d$Q-&adhUC!GGYmm z+d|Y|F?=v&h{;AQC+~7Pdx=U8ML~dm^Yf7MZIfyd>qACHp%%4;KtuE;$EC8zIFiSL zJ4ucXn(vP8etQb5nv4YPX)M+rHxJPT{iMs^N5+BdPpKF0{d{tLJiZgSkcgH4?Hj{+ z&7Ndf45pMY_XS&8p@zZMQ=^>S- z!EYhxcqi4hP<^5gHPcLlD8%j_-W)s*l>R;S>oax!=FpF0j@(xR*YAU~QiT}I#Apr@ zm|pp0YnGHLn`I=j```KQwqX^N9NE}Bc0mm7bPv^+P@i4c{Bv`f^Cxjc*uZCq69QJ;goyBZ#1WTwwi3AtYdjprgWH&@syA1U;nO#MtseMq zs&=uNf3|;T zhh!bshvzL9mvV-!k^7C%Pw5ui3eB@Q(*E=WHc_fHkeEL(DYL!%&#kGpBIrQlIzDJ0 zx?#_|mrD72kJ1M_c_pI&DK>!o^9V~teRH_u5i`%yEz8}0qgXyGH6vq;vF=x8xVluN z56;jZL8u9nw!8&6ne}Q>~|;5nCeYrR)6Q3xg$Irgv8JLDDm-VNZ-H zNHi{HQU!bbu(Z#e75}6%IJ0{^m=pWU(rUc{tGT4xDm#pncdz#)8p5teL}R0B+O&$- ztqf~fb){teZ2Og`)71cVzhOS1=^es#nZ0?c^YYWTuOs5}gt*UrZXa2MI8c?|drFa` z`ew)GRo6IL2zxG@c-jYjtn^#I>5CC#(W~I%;k-N~KL1OMPM!|ma!kekz>hg{x05t$ z$`wir#Z2xB#VDbgquR$E~Xj85at;;6H#yeKpED4f0*UMKo zN6xJ>g(@P`7fK`Awe#IImNESs(T4&H9d>p1*}ZoVuU7^=9%*3U;l5etP8>L$H?1wF z6brJ+06d8i4-$&G_8ke)lnwFeu4>E;E6qBnGd^nQ*%q~pJNTGiP2oa9d{}YV-~JQx z)h-PZMp0j$>vpto(0WBWcij@1g<-PjeMsb$Y~6Co63?o?v-J$W;(gFf5~spd*LU7% zdzr97IR#sD*SO`o^J7k4B?xXLC-KaWua11x93!dxk&BjN|G2WoQ1n*D1Pg3756G2o zFwFVy90oM99fd+h5Z(zDoLA~RYWRnWF(=THvY&dUS208fr&~$!Z0(-TF|pcicBn5k zdZh?Iw#ymk<%382s^%>jtLdyty9W}6%fP%>%pgrao{}8=>y>G*L+i?>mTq@z@ARX# zZtVBeVkjbmraxs^n|+x~nMA#EA&ir- zv2%t&WPTlyM-Am9r6lQFAz8gC9b=NE9>7K?gfDhi^_5DqGKw>#L45!22Z4v--fyg3 zu>+qz+-pb{b`6=o|!P-RX-MjN8VlyaKu2yEVw1N+s*~JPjlrA@vk)TLqMj7>Her8=oDZTizQ46nsXts~2x6sovCvoS86 zT#bewK+gXg?TbD!{+*H#x*qXa+`#$$LV}L2qkH;r8~nUJhamU2`zHLz?!+YelTD)M zSYI(Misi)M1q*35^K6j>y)Mjk^jz~h+OQL$!jiwo^0tv>2`gMar|0k2?G%YD?@eGE z`HyB#9O}8l8$*0)WT5o-7yQ#Mhq+8wrDmL_$$z%I0(|zV>xIx`NsRO9(k>ZDIJXK{ z?u2TOek*--JUtRdWAIgApBaIK^&8Rg*;=S zvYe5b>Xp=Hz7he+{AILZoP4b$T^!`Z^JDTmy7M+QmDtF%1ZS%SQGxa=5UT{7!;Q6{ zZjx99g(-W#-$b7eqLHT?O}=MIFtE3`|4U~V!%&b#|5MOC-njCnt0&{ZEB#ZkxQ#F& zNBRgp=(;;Kf^74pZo7Kul^AqtT-0m*Uo?GnRF&WNv;qRsEghFeq)WO>Kw3aTy1QHH zzJ#=NgLDZ<$E8!GyIZ>9J)iGyy??@5#Co26&zU`YW_BgBF(G2OWPn{`WT7Qt$Tw5% zu-q`)1?o=mDX#Tv{Mm#k`7EwJx5EYY?Z~eie8};AlU@G`^-DD8O6ruOkaKrb_M3|X zf~dT9!|_ThaG}!0iC4FibAk((!nx!*Gqt-7pCy5peug@Xmcc~zmm9^)@jOSniX-J= zQ-Cg}xI9kJZi~GC84L47o29Gse_#?iOjw>@&iOlorGefz7P+ zjZ!Y`uyvD|O8@hZmiLU3a(+L@;5vfbJN%z8pV;@*<6W$L6d!X9=UDb!fHg>wFl13% zzc<`Gj)rKgwuB#oz?15M!i__nF{&&yE2SvSp23%C^z~;=ZOg~J1^SGv+~tNaVy0>f zv?4XyIEA$`#Kup5o19jPOs#S|{z$GdQapl7i2@ws%ig^Irja9vcGl=3nsLwiym@a1 zeI5U8It$qUDEARt8Ze<0kzD>$*Qi4ZX=*S5FUydR#`|4OcDHSh^z3 zR)jL3&?K-c=$W^x7ELvt2EJIS9)NLI=<~t){<4&ME+Xa6?NKvy6Wl3qD3z>qlU=Y; ztMIp?6eGq^tb4JIJvP8B<1{=qHDzOOKV{cA!DU-F0!qe^5ZJ^C2nb@1#;88-^E##3!vL=1 zRo9Rr2*uYjB&_*Fp61o*@RtUMJ+z${wm!LzFk+V8v&q%ODl&Go#cg&+6=Pi6*7Tu5 zIbW5f_IG_GgDf(8qK}h>;A=_-M5F=^+}_hb*qcNJ{(-?x#8N{eOhk2oz=;mkq@Fcy zP7yJ6ht&Rps-MEFEV>Z#$kVG!0j->_0_VtwvG&_Bi@rCpf7UK946|Ml`n{nZ;eIN5 zzM_a9iORccE0#o$mT!mB$f=iU*oaBA*%KDaLvk77nMOH?;sAagyS^paF#uYWw#O@O zWktkC;oKL_5u*Ssdf>#E<`JVzMMl=~>p`#+bXu;zL*0f`#wZ#;@%)?a58tp8!$SVk zj}5B9$z)6IHn?@8V{q7VDhX zEJvD{Vpz)D$yrYWpV*I~C*5q4r%1yig2gzCm48%3j2>8rIHom|gXsm`0kqH&On`$y zbN5##3qJS&r;d!qw2B-tnt3R`l%b*FHxQ@bxHnlqok$aUaf11kMXwowv=Zf;VOcnh zT%Klf=ND0yWRh^MnF>AXJ0*fZ{gvufhE7Cr6tHvwq6H3H}I1#`A!>a zkMB3-9;L}Ij|e%p&jDmo$Tuc+5xPr~qGXhPVJNGfEDe{lg&?VzV8bt@<5rqteE%0Q z&CnSA&T62tt?^4P1|#iZH%$7$nc0lb@TO0RT{BcYpS>1r{8w?6yAhvpsV0n>cHy@ zwRo7!1(i%(y+WIkoN|%WpwAkcauqLhmgCZ+N9&pxcE%#76MvQWI)dFe)3l2%fAJ8K z0b%NJ(ABka`QA7<&RG(uMWKB8+D0W!u~;2w<=pr0mSMqU+*) zzaK-Xu+3XPI}7$SnppFrQ%vl9yu8mGyVJ+-<=Y>?p2jzkqKc(?+AnV$SCb+glfgoO zgvhgJi2H0hoXz3wyxA#HKbSq{ik41n+i-TX^P;gs`$^6yv0m_oqHZ|EP_}U*{NrD{!CGdD6+qh(weIy0wfvJP5X(WX)>ANmS=e?KxcTYov{A_Y#$497&s(SPTh`wExPE^ZgtILrQ>t2}9JG@b@qIZ+)Kndu73Y7Kgku znnBX~ch5z-x{Cg2EXRG|>gvkkc^%4*LyY;e&nNDei(A~kW#a37J;cD52rnJgObxel zh+O%2Zo*+k3O%laNfJ~E`3-H*pVna&QgnIqQw zL^<6)O#U*zMD2MyrnmX{`P$(pIlO@w9SsSTO?w!+Ozq&4Ey&B+tA9zyL!2rZ^~u0H zgVp!_=Dq)Aa+qo;B^p}-V*Al5^BSr6P|J`s^uxC+7 zs%%b|?fmkyhhNy==%cyV;Q$Nktwti}IrS58xzGtR!6@93`(dWwMY?K_i#m zW?&*29(9*rK}0TzOAFaN87eEXBa%=O-K3UKm+&P_A`-HZ0mH4!BdY==z06YDribd`^0A-TsV4#XmY zO7?tl^E&IPZYvZ_fTkH|a*S;@9?Ph>{;LXe(&>BXh77KWK#h%z0)Trsk`2wWapB_L z*F_I@?HfS(#my~AzMu<;ZBtTHbF`RMS(3w-KYg`bC|o%?UkjyBWxxyTHDZVmXGs>Q z$?$9c$dlgd_+!F4w6Fx~m2AR6#FU7VC?D+9G~CtIRgJos*G2};w`FXEZ*O;!e|eZ? zig<63)oBr{@OzDfSx(07|CFfE7aSUWdU-!hSNl5LtFil&esh;wQ#gsZ0 zT>yh>wJ{~rp?xwRuZZGw$hF<_7JY^Og9_Pk3I&dKlIK>_2VLDCTc7P$C^JXNy+swX zu#gxcAO?P?90%zOl9CBxEg=*U4`-}Tqy;hPRGSHO0a$0pp}Z>ipc-iY`7mX`v;5FD zsa=L|=!3xCglTaNTC?gIa-^^JX(nnhk9OZB?|5!?EPZN+2P=gD^M-3sjr3R?-x%X*v&x9=9u3NJ3HqEG0Sb%ZtxVbkC8*m`W^H_ zJHLD_EvC3#mH^M&+noY-InEWl7Y^CdAycH#KiQ~eIGr7shAg!S+@0w1I4k_|NKxnb zM)mW&Gn&L^#*51vUY$Ck(Aq-@>cfI+7SQfF^E9cd@+#qyh!R6*iPaD%c_LQb6QI67zaUHo@HSu)Z?)4ml_FbVmS($iM^q(KI|bGs%dagN;5 zfh|A#fFE?!b9358)j2X>51I)>02d<+7-X|rxf1nU)e@{|>2TP_uL^HT8c!{se}d4F z5yh{#BcFU%WI*Gc>c>S~pjj4OQ!z6$1AL}pE9-Lqs~r_!Qh&qBa=JD++8-^5Cb8(3 zoIEy`^-BQ@LE$4_Y9_s9vyafrWw-z~E?Yn&AB5{O8FGmK3(iG_pkE$PpR%1kN$>YNcfnHS+p)retO0 z{N0~)ApL%isgZergRQr1K1Sy4PZ$CmIR*FSZw);6Pzs!at!gC-bi^iVE{Obl;icmN=ILZ zT_ZAS>bdzSr97lK|ZBdDVZg>U+0oy%gux8gV}=UAAZ zEp(Hk6TO);z#S_tlY}3O-*)~)=F*+7MW{3{Un41uUoh_)Ym%xAt!`=^T7OWsxzh9SG{KVH`7t;hZ<16*cRCfFFgfL z@d8Z>R8j-cQRd-zx%%08){SL*8J%Bui*eSaC-=JTwekf^-I(GEiiVCHunUtoNkKmo z(O>S$UD7#AM^ucMZSMjo$M-SH4sHBB#`uB$et0K6xl-SxUEQpGk`m#p7hx))m)a=N z^s=d`MyXYR5{=5R6d+T&40+Z59fnP32RjC@MIC*K@WR>ocT_@~6OaLp=!#y1agtwA zMCZ(aHOAc|^v=lH(Wsp;dCZn)DEZYE9R#gN&%a<8x>vM;tu3xUR9}MsRG}9|8gY~D z=cYu=6rsoA&&t|g4mI^=0CZ)_h^r|*+;`75jI_A_RiS=;*!eYatL3}AX_Wf6!ydE% z8Wrohep9t>@1UQ`M;FDs3(O;U4%l)#)LOpjI_2{Gb{ugrPFsh9iDv1*wBvZYh!et; zx5n9rfOfor5?8K-gg+)GZvvQ5vSvB_t$JLu0@V$VEIn zI?BP#Emby6?D@^4w!3D3N-|lgD6r6y`sD_e3SMe@dfv>zgjId_Q!~4PARUS)oziLVKi{kqUk?)6cu^?ED`q5* zlViF{{WuxApimF}7swV7l3xU5=(Hccq{x*FZdiAwm?xiqK>f4QA||5#U$HGI#=f(*}fvLILHy)6k#Vsn_Xg^ zXt1$?nL0v(-z-Wdzmk;8ncn+ig<}3@I~-`>WDB>NsBn{OW>r}xFs|hh+ zU2FG;*Z3E{$7Jxhe^A^kmS_5n!FYintx&bm2Cci}mx0P|6Gow7tU`|*-TE(F&x%nq z#!csk)$Y#>T?09l6+4Falx1|&R+qBY_mWgH>{$gm*5gUKXI}jUJC!joQsYdfvHXsg zQIj7^rN z21u<_V@d>4FysJHo^(@7%hz8)D5QB^h6MG;v2#!c;OGGWy14?%M2{iF3-l+*Z~>Hr zBl~2deBPO%3=uL$=C8y$9Dl&lDiOtivzd!H8W&v(bLI^~CwBKFyRqL7z{4(Ck#OS( zoHf%79jbr+@%aL}xa+D%k<^b88$nq218c3V-g6f%thY${_shLMFkGbP>6zys|JxB> zExW)kjN_LbpMq~W_dVkZI z2xI>sTcj9{Q{&Z)YsyG8J$avC3vxh5vO#m#$@6KJiX|r2pEY|)G&m#dXa$asCB_>b zNW)6_+6&7YO_7*><_7}zMG+*SKlF6Icsob;a&}icG|rfMI%D=mQCs3nS-#Sk@;Dgf zNz{C!7zf;fH*GN9<=-(>sE5ge4_n^ur<|x^UN|n&_*pgB!8cVSKM&>~)_9)-dQ)Gs zsijOXs7Mq|9p#kDe6}%>Dp>Hwq9`wBYT4os_Q6=VTr=?v?3N*uOWMOc#2vF_Nv9*8 z&`!x9k0de9lZ~gT&~KHm*P$hc0@gNwGFFzRf9D)nlxXC@bpst1rPu}mMJ&3% zL;-$TIf0k(M|t%75r1;8prqtX2wx3*{e0Cw3L*T^q)Zcxq#38!V03O3Z98} zp=wE0O-+FFTv z9aA>KA7J9J1DFf*V5OoDl$k&A?*kN0ayk*vkl-Q{-jjNF469>HoH-)F3&QA1h8WsL zhLXoJf3;2Bj66R+ulhguubA|H5CLsvTpcoPLH~)L@|MUg?0Jc==9W>-x=#6Hle-Jj zX!VSXo;io*x;Oa;&V;b#7c-6y_XK-kVjz&=(q=KAPy;;7r=RZLfMpSiZi7vB2{r{Ou@rJ@$R^0qieUjrpflE2 zb9Zr=_fF4uM!+)|6T}$s@e0W4o>hC>9xs2U#>1moG33CfBI2IoD^_h3L}d8$4$6l1 zIv_Tr=qz-_D^R3Wk7_te>N~l}n|F-F`xmB~rM`cUbz$c|Kid>bbRoYD>Rn}5?-`&y zk>1y^3#ig;bIj1+^8Jf$GugZuR*x4@$yqW++2Pg`;jTl31!d4vxcKhk1x*B` zw&|0Za2Dl-pn~>lS5pC0uj$m={~!8O@3rRZ3m7Xs6TdyTvib9B4|n=}r&# z|4o`(eG)$p9sJS##g#zoU_*zR@IxR$_TO#}n7`n;)&6it>~ zUNKWdsiU%OYzjZWB_&E1?ros7Lc$xCi~{wFRm3lZ*!lM}H!W`uJOadL8e&aesc-_6 zFk3M+g1KB!xT!o0H6JZ8FLa zZI^t$cZV-jdtRk{?BaauaMLyhg7?BrwW$M@2=9!+dqfF_%VhwxaJi=SA2X+ZOF3q! zQwk*x6ejcZ2DGoBGihErE_Ol)NhA&p|L<+e;ea{g>2FXEGzoIxMO(}%6-iWUk-oD} zqaz_9QBYKT>2Q6lXJ%&hLRrJr#U_+A0w)x)B*d_)wKbYXPGTzm9ta~!)FBB2;5#FW zixay=2{>v>@+t2}>^BXC_ng2?tQZVy)Flg_`wt8W<2j~{$%R4{2+kBTC*7YJ0EDit z4>WB_N$Ywz%hp5-W- zI04uv)Pjr0F8GEjHI2c+-rE0rrgPYir-G>x#W>68m{Y*aQuu6xVrv6pPUO$RezT(2 z-LdkX2^}X?Wv^X?#M)Qr2!=>;|M_bHPN}2%emey^wthk5O|dKyNh*|l{H0^~VPFPR z1+U4;Z!f%Y;;3P-uHowoY7RM$)YfM*ozU^_FuWJoGi0&y_%Ttaep&&P*$YS6rSmeH zy)i`RmRJZc{Vzwk5vae7yT_e;k_}7yhIvS;p2D)Ntd75M8I~?Hl72owI8<;I4!NX? z*-&Oc`z%{Jf{}Rw+Hk4Lll6P@1te2($%~snt~{kmnN}U+M%z4-OdFej3|2Lw=C$JG zbF|r^6mUjloH(5g&BIFD6XZD38J%DEIB{S6NKH37d0e2hv^ky$UGI}HnY27~BQxNb zU3~w=&uqQ_ec}>%a;7&1Au+YTgLz^FNeoUePuT+DB+sX@(YP=Q`4_^j+4FSW?V2UQ&8MMMJdxxoj@D*CUnHo@HCxUTYytIYy=I9mW^RFpVo zw3Ml~G@cZ=XC^GZEbuhgsxjaJqt#H21y4FCG~mFBry+$AX#@*0$sZmbj_gC3)i_n52MDapu<1fqS*jOATI!J1~~l z|LwIFs_$O5v{s%z)ZeG9TZ}<^+rCPf@ol+Ndvl z%)spKZF>a602)N$*!<#S1SRrs z7t3(WsON~1vq0#m^;bNlNt zOC${3spP#zNzId2`SI+Moph2ioI5XxS`4IP)m8U`>Ah~SZ^EnpzZSrT3uD*a4wv&j z$gp33sVB;SE|nBhL4>i;(!sN>|7b)AVOkPT3Q!EaMj`7kEXI$<{wF*kzm?cIAAH_f zCm&FFY}P`8qm;nAtT~7ENA&e^z4knDdA-dB{?>L|w#CEz3rf>e3 z{GsgTim5v6Lpz14kZkN|dzfWRa5Z}t*;|s&2v*ZZ<2V)0$%>!!4nZMn8;m{MR>%LBjn;n==+Y+NwlhAz@DkzPOy7SLC4;v}qYF z?#dkWjiheZGnPMphn`%-sb~C2O%7Kg{b&_FtY6sNI2@ei5$#nTGX1mW7h5O;a-A1X z@a{j4ZZ;aoE0d{i6nwoI&!=H#|C@})*vmYlmJ@H;irz85OYSR73uRJzdNrH6n#GppY?OU@Q zEdzIr{BL=oPfH|yslS;X!wvG-zd*9`MQx*^qn7?qe&WCx|si8rO z6JAwU7epfmCb8hxh8R-HO;-1OhtUrEOq!&@-tn3ZPf3DU^s_S!;t_%o&GZYOW3?f_ zb~k%??z8NlYIss^`((dG*Y7g$^ZO^x<}!Gnxa&XL$2_gn&*wd7J?>XhBSZXsodZeS zKT!w_ks!Q`9=uLvlJ9Upq{I1^=?c}+piLmVKJ{0PKjjm7EO^84sr2HfaIdpkmOOs& z$^C4rHQqU953)vL_#W?gJzsoX|MIczw)qQns}VpbjOzMfE_{p|V3|DO)o!|Pr$k}n zPJ~@ke|JNbTsMHErwh0)wCcZUe-_5|L?^TpAwVseUg=gffIT3qwXqj*a;tpFjWs^W z4mv?nP-OOD(!e`%3k+)(W4>Fx&t-u}+P>F2owtLH~(Cb;)_}&rr{#Cl`AU1_GicG@s=R zmlX~6Tyap-P#-wm$ar!xb%jaj@iGX`QNqyCE&jH*7IZ(u7hDOrxC$w7sLnvF;I>J+ z_<2Q|=VQhA3*})#_rLBQTXCKew7(t4d}E#|(DkAFU9{L1X6N$R!=lprU-!07!Bf?di%+Ji1K z#lG#TL5vB~|hYaTj_xG8=4I^LRpy$3B31|(V7`3Vg8AHD+1gy$W1u?ag zWZsdtolNbyfN#3+lZ}F`s-GE~tE*p^mX;>i$>^#Cb&|-TuyE---QOOkv!1ubK}2G} z>%cK$ITTHF?zxt?E+)bPbPJgzUj%h?un}CCk;EoKd0FQ5PNG!yToDcYv#0J5Y0*jNlZ3{Xt7%HF^*ks|BlE{ zCRalQ5u~Q$OF2`ERLFSirv`kk3k~&R{FO%9zB(f~0a%m+>^#-BkYUezsE7vi7%Pn*NTaxlnpZc3JIZ+44yIYJ?*)qS!Zv%J2Tbf zZ7iu{78DVUlZ+TZ{_v?H>Nq_89zUWN&iZ8KOXWlh#Rl3pYwB<&L(0`irbMs6(Pa#) z?VFy?|BC$YUHt}Zy`}DNW%cPht%u-t_f30wyUeBOg<%7qI1{=^0u0#@yHsBbVN4LdHnH{1$A(;azdpTkj|KstgA|RZc zoGvYT^G8>^z987B)_g3+ZyccPo=F=X#^fRD_OQ@0B2e2vu>fovNw3hn^T8w_$&^cx zgeY~sLFlZF5Dl@oRK7r!DpdhM^_UHy|JidP23a`1SyuHCmT72+-Kf%pApj&9F7O0) zj%O%LaRD|52qM6xuzz`1oCdZwK!ei$tMay%ipZ1uyg|@jY8x2rfQ<%u8zSNKaw+c> z3O%)oZ}R^u^o@vvW=c|DLbUE!EG)@yGWDV@da(NWA3@gj)dH>xwh^LO9w*BvOZ!az z*E3H%doGz^CfoRQ;SYa87X)v!AdQ9lL!hz0;9SK-J6GRcb$NxFEUO?Tg9bT`^w1`5 zu$_nH?K3GB!ZG`4hpQf%T8|st-J@{HY~aFEM?-iDN;c)t%ji3vQws_etk>OiTa!YC zbS^k%(4$9@HSd*@e+88f@Q}ETtopBjsO;IVQ0`|0r_u2-ie{Oduxp$+Pvj2wtp19L z*AqRgJR}RLD`ArIVU0#&7Z(vD{$ln1k1cO16UHkQv44B6ZsBPx+2h40xD#X?;jv+V z&0Nn7R7)>BZWG&GbE`{4v*Zf`2yN7cEkUi!-?^&4r_Az-Q_wVLE3RryH8nfl8rwyP z@=VfBVXXPx1g-e51HwV*tiqT0?ttX0-^B4a%U+Vppvza=zd@{$-ulvQwZ@=iszCy8 zqz4m@zf~B%NJv3+f{SLQV7VHLL&ko8>Ctumb0dW}=~4ND3not(!H!I&TtvuB!$dxo z9)3S<0!_T7po&<6$#J4U(1|Xrp*buLPlu-O$h%BdnpC^yH9nC5+MECbJGZtZd#+8= zevgrgx<QyGB;=skBd1?RhbWRGX_`Kcu+14H=^nlA!zy29j2Qw@z3V@s*#?Ur z6s1$OO4_erkc+2a_a{goX#3%-5IcvB`yUgT+%@=*+=*z zm{;7|x$tMiLBSRXa;Z8xoNyJcp8&^~h5~ws5*ZJrn+V!XKse(HeziJNqKZ_%Vfyg) zHeGsp`hUW(&M$28A1v#2U=OkwpWOk;9g+JZE$NKrH790PI)z&kU<-A_dyR^_CQ?A8 z+&F%?C~`^`v%`iGt{fRgSDgoOZ&Vh86N4G)J02VJ@M7U+s$6>7FZImN$;c+W_(O=Uu zoG-Jtih-+^?7z8VKCEKG9eVIr`8$$?ShvE&fu?9b)mv=Rq7cfP*+B9Jfx`s%LzZ&s zWXfHvX=_p~$Z0XOa4twJJ%y27y#07bj>kJY^iN0!~?V2U}e7?x}b6ULWa{x<}LbF7~%ukL{O{RLrR zzdBFXc{219gTF5S61nvjhCGejJo4;Y4FC&ju%*yiF1&07KhhIV?OkLTcZnKrwNl$M z(qrGTL~pr6kx5^KK~$z_T*T9Sv((x7b^Qr(*cA|S`jOJPx9MqfL!?*UD1S@InIQED z3;0SFap6rM-2=+^km7r4dWIM}SpUYC?GYJU3UUrYn?vS(*!2@}i6G#yAA$^pDh8=)&LowVSp zVz%CN#EwK)eC4}B(K~=B*71dH_2KsX!mCxq#-?_TCQ%-MXlQ;5DGE`Bk~xiCM_>}} zjBA`}YDNax*NK&dqpN;{&2eZCm!gYak$xrT`}dxu#pjMVX2Q{1eNnfLQdkH{g-(kL z_SsgLX7M$S3DS9TbXlDd!y*47WqNfIh}g9Y3QTjUA2!~wXm3SUh%W@j&& zT$H+N1QpbX>J?A|L|5hu)gz43H5K4Xu3x_i{OjacL49m%U`@v(PPg z?A2KPJ0=BZ8^l?BLq79Xa;n4*Y!f&fejT@^8t z14;|k!gHeIV_p??d<~71^vo|9(#Fe_$o~Ymmz&+vHOCNNDrgvT;F>%7UHw5ir9=kP z8}zs3@DvDfEoBE-1K$`X_gupJ5>mvz?leh8bBWW9bp9ot_CqZ*Ki!=kcPAe)7f8ij zc@xr~Ga?!rPJ~H*t?Mo7XO^_|=nDzQ^R6dgln`ruUXZ6Vs`ECD)iBY{nLaX<9L{MB zJz7O$W*NczxCr2A_yGzu*`(up=)0@XO-{?C>rWFRU1bC6Sp%@Y>{(yU&(fXZ#VlxW zh-d=Ovq_v(2|}9`f3q8SDhJr?0eE zoU~IkWP51wq*g^9F$Mh&o}aA!o~$cz*auzGDaMb6SMPBu)CyyH|NV|#QcTs_4~7w= z#oQjIqasVpr1ew{j8hTs%-KyUf?M77kKd6auj`v5m$3LKBLR?Q433R{sbUg+xY^H(Zs z+e{%59Jy5^otY@&X_Wtvm&oT*qNd&F^r7)t50fR!u`V5l{Gt%xd|Ca$f6XKCMZNIaf6yoEi);J%TU zGQ>yU*6B1BC)O&A{uaD)BsvdIO-;+5J67F)&#_QKQ$>v6ekYPg+;ZmB!$Opp77h7YDSd6*IN5 z_(0t{GJ3UL?VI?Ao-<2$&(~2xY>JDycv@Z77cWhwvnLshX;4Gy z14_h0yvs;j5Xoz>fU~Et5GO&GMQJA`jc+ztXe${-$OoN*a*)f%SAV2+Wd?%~GX z>7m6)c1|7h|1G!8KF0Fj$P&tnytKHuIh=~r=NY<88d^>%a?^?F0Tx`u{5)Y>{^P0# zCYoYcQKcNj(TIhXK;u_k8p?*|sOL^Y4(1I}g73jbnW?=f1OmBukl8hMF5MMuNC*-S z6sAn<>~Sqo2$s(SS!~uW<{Zi zo?O>U{Qi)Fm9LPrd-G|u>ejR4OQ&&1Zjx^q+&g70Si$_N?6EuWL zlcW71rQf7@9e|0eRy_VbRM1$TeYK1EWI+Xe?0z}z3%T9s^uuNKG=5!IZYw^+Oint zT$~Lib`YC)A!3nVso>#kI=-^_45>uLxFm~o`GD~*z4+SY~MxchVb9bt%lJp-2E1D`ICi?Z81l#aeQiq z%#=&RH42xP1fC+2SjV{y$|c;9TO?TT^rr9L>-x@ipKg}H=FNw&h>)LhXkILB1YLWL z)uc$yd^9*{kY%z3TUgG@5hW^RG2%;&&Qrl4?|Ayt#G;ZVuZBe1Ut%|7zzLe z-_Y4PL6lN7Z-TJVh!iD+ErzmiwD?SIw~z8Hy?B|35_Cn?73P#NB5z!7-k^gnuWdenTg?%s~QjEPzFJ@-uFWP^#lrLkw=~X(v#I8AnRUCYmFEDm12LlCH zQPq+^_w)6_5#7U~w@qNJPN{mj>+(Ch>>jwVQrQWnT1V@wH>0}3hRM1W8XmVt?!TJ# zq{iVWk!9n-YARva5wHK(A}KbfA>@Fs`9uhHL@$0Q;pa4TzRCKw!+N2ur+(AvZvXH4 zY4p_i_T*VR_4)ky{p1NBL-WQ=`#o!|&sr^q|3CAYoB2=e4voGQiX8h>#1@O6E8`SD zsJ|630T!T33Z8{v-@p8?E@ow?vd0(cbmn&E5c0~DmXvMphg06;*a3aYgtVLmGKlqipD_snZ)A`Dv(x=d*(!;~1vB7>0Qr>P~;w|5_Z6+r48?6kv(ASm0^2Z&#{)K&h5Zw21l;bDDW7QzNMA?`Q+I>awn@rG)D`P`BHJJI@J4S7z;V5STna+ z9tkTo^{-`vsmru9=JxJ2QV%stOR#WLF!cKY~r&mMMeJzH?=YA`<-0Xx)-N^AYs%#hD|8T3O zr;ZUmoF$Uej!pdiW-u~qEqfk;`YSVEzVmCy8uhy$>JWKO1BnTA5Mq&`kNFYJQMrW5 z+8q}cvdJL_S;J~DjaQJlow!`^*+1(xK6QROl%Ig!a8BC{k4o_^yTV~jA;x9@Vt>?v zX4v`7r(g9=AM)&}%Rn3$RTF_)INKXdR;A?Mz$j4NJC-jLY{L%irb;UW!X-kCP=r7+bq!iP6u_BYdinlH;p5}$ za9yg7-8KxC;v+3wvNK+|`Ze9-st1%FscC8J|7|1y>tk_wK*P0R63!3-(t|isNk7?< zg2^%Lm=@4nKpIdvLt<^;A*;?z936x7&4O$23!6u=-a#JUuun=>I@?-a7!V3F+GNv0 z12CjCC`%k%?W4^{qk;(2j|fh-Ppb47&$qA07)aA4%5=ZQWx zekw)uuGpACm^E{n@7gHTrcR1>MeLf(B}bmp;k&41z24Ks=TX~S6TeHh`$(IdZZ!Vephcp``CcTL^J<__WY@Xqb4M7N9;=RM(E*>$rn^?E9zwRx zoZ)P1jKD83S%35~%Y+q>m81T>YIxoZUgZ$-;iZmk#-0uQf<`O?RMir7s_t}&Bk(Eq z8s(MQff$!!jIBEU(4Ej}igZznR9PY&F_|J4$}I`s_B*`$cjA-jeBCeW z(_$c~Hx;mLH+Z>y>eW?#{@XJi!@NFo1Fx!2;tULD3(p0e?T_6g%vtEQ^;f=lwh?Y+ zA2~KaY}mjB5#Vg62MGee2EI>39uOse*_J69Y&nj^*I!aGn*Cfx7;6OFa==@n-(p+7 z^vyCG>%kXlE`BEPr2|6?`iz!$)xUS*RmD=14-e7Zc3u`YDPlDmWR zIv5Okf3?!NYGlvZIM`WcI^3*PfW(0xn@E4&MFmL+UiZ8T>86S{L)DIx>)S|3s(Ve5 zGO+7F5voKEY`0_QqRuMIytjy6l06BwKXMe^{m~2dv)>a(lqMvs zuVPF%Yuij1UD|}#qN1A_yC&@j0{k&$p(axGHBYYlZ^ek%smtYgVD8Xp=EzngPIFGY zY{jy#jAYV?@%_sxW+bWf#ddJNY{5tE4rHq)nGPNiycKO+kUq1^l}k4%dKJ+YLPf$g zuZO3-K0m_$0hRItM*}q$M(FI~vE!akm^H8aL_JRpO*PvATVi~52Iay%Mv~=}#l_9p z4iqG}c)bgK*!IVGeqz<%neji*da=4ORs1WZFtP&aWFb_7Pk6%SwyJsrzV6=ujU->b z%FiS0Xu6W`jp47{_nJNjsp7noqsGT(_zoTvG0B4MC`;sQOu!a$ki^Rh-KEv`CvVsh zCxr{y!>9Jb^Lu}vj6H>~k~-%0D+O8&{ifWKDv~n^9;)#Q^K=9POy-zU3d2v_%v1Ea zq**_-8+hdG6mG^(eJK#WIhBY1%*^aLa^e5}799sW!@5OdpA4x?!^qhhmEFT>7?qe< z2v($P9s60gH*78l9UXRBWkVvB5I)R0Zp$5O#NKu_U3rG&fA=mbH4o*jii-Brq)7hf z#lq?@_Rd?ROHi z;?n)5NWfkf##oR6Gl%dq2g1b1BzaoU^f)@k0nB7)TB6Q$t3{Xm|Fr;svCgo#XGoL} z5~m`Cbvpj2CP$3ofE8NCD-|&&$}_XDfN)jdsq5w%sXj)Cvhxtb0t$;6R~V!ipf(eZ z_kUl$w>jbab8JzsL+>JWYzqF)<)tfl-0?JK=H{?O+E5)*a3z2Mu~TzEMD!ZPfi>p} zcZc*o>p+gY(D0FlZv}IzCYBtl*t?6Nsroa&Xw-fk&pbn}v><8r@*#Fah~;5YY$;s| z&Q(VbdrQ#8i#XY^^>Rg{)0Y#Au~#}IYw^K5atyh!$$()Jdy40_0?*(*#=So@u#4|K zU5ggEo3}E!bR#K7=GQ#6s4)EL4;raW1*tN^m|0vHud+Xq7?X$Wcw_pEol2j$>U@@j z=P6|qjsHHuWK{Wq1%G|8oS+E}8Ln=gr#C{BW<5SV!ePTLSgakUt7P_^{gHWdjfyG^ z!a2p^e`c=uRBP~FKE6FmA5|3cTe|!&BsB^`Ny$VsI1Tw=9>c^fIA;8%NNzvj%avG4 zA-Fm>q@Xg}hHlYq@L!FOIWP8ma^c$En9gFVS)x8x8fN*D})nRS~_7BQvG9N z)UrD#`X@!=zmF;Z48cU|rAC*V9@fXc`c^xrd~GN_N>H97GfWB(!Ak-)iZD?pW3PmH zT_`KM50{JQ7%Pl!*Ii&YMC?WxeykqkXi_Qj_wAT0<$<-1Su6Q1A`)+a-dTyQAdFhy`lu{mTon6xMZIO z{)C0gLlfA*3Uw7d#!N%+{^IJISYOW#EW%3D4LAFr+W7|+l8206P66`{N^lonwG(To zt>8&fFS}tEjA)_3(|(7?wGqnt+9IaI$R(n8@sQeAIC-!NxX49JHH4X?HTjT|!dX2% z8lXiU`Rghn4IkQ+rRqW$;E^h)I_*Avv50r~Z6J&MN^Z&o$-YBzlqgg~bEsV~HSLv5 z_`(+C2BXCxe`P$;Z(-zAi3p=Icr2it2n*V{aY1@7IM(f`JHLc%wE9+^L=mqfawnY6 zFXC``ORn;ev5w!?4zF?dhE5nua?QpnMgel!mi0;&F%J((itEwDh=ys!x8k0z+b~p1 zw)0Z=LKH*JWsWuZMY#Nubi9ifd}<=6p`^`OFmZ%UUXX9V%f#9b9Jvb*T~G(L`LdvhN|mR~=n zsQpaTF5B8e#qc0!pIBWVCK5j}F5r`nTE7p(z0N&o4h!XHXbV3I+hucnB}WL*(1oJJ?*l9~Tn~xMl6u=I+smV}sSbV~4BS{LQ5fX8hfE zelHgquyhlwN+hk^QqBF>P=DV&o=h+uVfC{Jo>dQ(3;7*Ijyc|*;liFW!(iA#Z>IMq zYISX35{a~`ag=Y9HD4pjB&u;XF$cU5vgeYSTU@5)_C34z9g|5kRTt{m_VbKiP5I|M zK-1~?A2ca?we$E?T(o%p+woNhLj)kLiKpP7MA!X!+BN^J!7I#3sN*GF#P!ohC4sd8(`_-{os@w+wLhM# zWIN4UF?Tc?On6-NuH?)QP|7hi-R4Db!yKg{HVOK3YL29#jaT-0Aa}<7vzO0m#y(w> z713uz>~E=Bci&z^b@_*`jvz_@q<Z&CUyQRtnN^n~aXH;gnzu#ui_mBif`9Y#_+}7B#I|6je&)iW@F1mTj2ARh zWk4Cv#_9S!<;*uL5X4ihTdc36QXxv9PAo~s*>cUn@VLd}JpVRgri}E);svVzil)Js zP!H`MKZVyrYEvAq>MY|-*q>s4dYfBKTVY=>OS8iUXDG=oKGrNd=JZ--a@bsa!#Goy z759mbucfZTn|FqB?zno8%9*X_N@}+;HGOnli!R)SSWn|uLmQ?vo&?2v%4G`l$V>?u z0tpv1VOKxwDXyma){h13lsNy7rn3x+tBsN{?!f~DXV4IW2OS6mcXxMpcbCE4-3h@7 z?(Xg$oZ#+Z@3&j~Z>lJ2s^H3d`gA{yX2`>+$RN?7D)K8CLd&M@`K+|w?i+o*N_5mx zUzU$JwCvh8`ip0q>|aoq5IbI}`hR(=5n-68^FT|6bkMK9(y1JeJSB>5X`Y_n9fZK5 z?HnT>mNxOY>Km2Q!_$nLx8@ng%&_oxi{2^xM7W{P+RgR>KuK*jU~_AffiGJS)z~;b zj+dGFL-idvME_<7l-#WgGAa9RbAMSX?BG5FfIlNvI0JMMK>^VOUELCOh8Qg=Ae#*| zOiCmGXL2~0fLiingEnBsq>BJLI=Eu`R#ypcZf=0pA7S+1BQzc`sdn`+N7e3*_HjvH z0}>EU*Y0K0y4ANAI!$8W@V#EfVTtAv@bZz}b=2dzY69nY2r3{&htjWf^rj*0 z_X;_NO1$XJqO5n!F9UJtus0#*&};93K^dNdvtWLJL+>$4ik=%~Pg!N#?cF5BZ-&&u zmSLRaZtmfQ^z4rbUdhSr8Cv=L)#jRn+-u(o*RqHNv7U#UPHMDf4y=xui7A%$A%N@yPSgq+FZRMd#qMV|DvoFsW1uPn-s^5tl9!d zr3(ougnQtc0?w8nZONRtisT!@hk}rh9!aToQQiWiS`Ma9c-Os-`G4x7`im#Za|zPn zlGsrq^&;9eJqFimOcaL1YB8Wc``F%JvzsIWw;)t3r=%O#+89eNpG9ujPx|BatpfR$ zknJTXXgzT@K0n`A2JHRM&y|Fl(-hc>P-GH{&8`(e1vDcQjMHURIIP;zWBoTV|1QY( zc&5MEXY>1rnHq3NR&Kx?@-gOU6{~MjV*4hzk00c@XRg2E$MSulT^bAS`V6GsFMN-k zUiIGp5ZwaSS|}Kp3DJ)O59t|`1(rMsM%b-dPxhu96L%ei@%Cwgz|xUNJOL~@ez#Vn zgls)#%wG~O-LJm3PMw`iLm88RmSW;?v&b`|Y}o*{TIt|RFF35Vqi-78`;WA;*M@j# z0G}F80(z=PUN|sf`0p#Op7*huxica$I|7|3)a8g;6Y^hdvxCF9k0JTrexmrPCorc@ z)MPWU*i&mSeP@wyCJB>f;OYd95QQ7ZGT6j8zUOJeMWsM51ykoEsJio+9vD=)e)fiM zslavmCHS4Mb607%0N1op6OM=iAm8k6uK0FM6-%WeAp`-$kdo3^RTp?cAi=J@$T-Ft zvwQhpXBNJ5(N$vLc58aLwQ=HvmTuUI%H+SU+*4*o@#hLxJ# z%P+-tLwm3BQ>E-)>yh94rETla+AQN{2s7rPJ8x4Jh%F~!nB8l4W0ETzA+SU`m^)ec%xQ7 zXy(Oj#P--fWkU>CctR4V?AAlA zO}y=rXdEsKG_qig#31`~2Y-5!Y_Ya6J*N=Ihve(~enZdRDKrs<$2+F3{!Fzc^GtO9 zI1b08m%;i~!x+cNeoc{r6M9J2AhW`D^-5WN-qtyhU@Ll)pm3>|tZMHgRff z@sWSyi}aKumH!Z0>zzwr^Y^DeQ^bo$J-9uR0L~@$%!wm)AVMP3;e2N*Tk&P%R0}p$=t8}P?ye!H?>D86GVgOKVK+T9V22Gw!I(x z*L{+SV(jKhrTj7L>~W8SJ=wfpnB2J75<&cwlqcJF)W)AB+)78^ulz1*+u676-V=Bh z_n-*S!2hmaKvniBKnvW>@bwX200jQ@rM9zc!n6y#sHU;CCddgpz8}-C##;p;KN=>^ zP5YY<_2l^^9Jsr2N5qbX&kZKzC2Vf5^9Ye+(j`{2ZdS9hpz4e5-8GZ-AG*ezgoaIQcxAss|ME3O!GP1+*?L_#10Jg+7Bd>6dBaj3_ zcyf$yDKDf)pSp2Bn{0D;AWtJTJa}AekpA(X>b^okz-{Hb0M0_y9VXb3vPPPD7DBe`4%~j50x3S@`A(dTpDYq2 z5`qt1zrQAe4SEsDNu#fU_Dy{ww_MGNFcaQ+%eJC=4c6n`ucd+HHLTzJY+HI}m9vuf z2aH|_(LEb}ex%YUST)bKHwWl^=JG^ai4i4AKj+i3Cs`9^W*exr;e-VRgak2yF~O+RDytMPSYn}s4Bpp-N&aoE!a;%?OeS2gOqQkzvRNzr zc}@1$9GI9H^*UdNyS``3&RskVedR6%B;#VtPL zJ;g@{tTHWTTCqv4b+ns@?z4R^IvlGa4Z;Nfu_2#hF>`pzJGO5_(*|f(mC?AlS`QbV zsDk9euHNk%0F8yT$s-H}o*}gCsOXJ2_6oOv8AbdxKaezynw;jdZ89rVq@xagKr=98&DO&4Tn^ zR?VY4zIWjHJ6a{D)=8iwkDzSzErXYf4Y+pSD*;5*)MTA+jSxFA>B9`{@&>e$($LUe zJkpaxSaxNQ&U#v?bM;FA-Ok{=(Sk8QA+w}_#E-CHzQCafY=EDEg<=60O(7^$jvyfdvN&F>Fhhjd2M8f+pDvxdtwww{*S_>2 ztJtFc$bmGz$Bf}dgG5P-Pfm&q;%03;nX%vyH`xh>MaY-O3|4>_p(7UT<#v!3Yr{Eu zXf)X|CIws|Ne$oxh)}b7 zkDynMoqsrvo@@IEa)`0AruXh|iTtNLCs&$nO zbJSqG3Va_n;7>kI-^Ed#x)Cp<03PL?7XY4_ZmB~2&&=Du)i2ev+RQP0aeQkg4{lu& zH_>QSbCY~hq)C0K5*>M@G_dUHMILjQ5t1in=#mX;C0UMIJydU<@WcV3IW zFkf6aF>~D5WV1te;Lf>fgB5V)d6em*c5`+T?I|(6;k=Z-C8h{8> zjb`x;Y(8_;o8j4$U{vn1`kDG_OSpt@{AKywAX&fAKmCDSrqI?kzL&P*3$;W6&rwvx zNbihEMr9Wbo=VGuXZZpHD4tyD*rZBNZ>UyNn9?8cxR(F2(fq|&ap6Vsy8j@}sKXVx z3ooBU6?kf>K_a}m-nx6Uhl8FR+PnTL?%$|^g6&Hw!oj0Jzbw zd1exPXnCKo)ExdPAl;c_0&FCI{v@>`dmU%{Z@a%-@o)tuQ^88-Y4a~Ab6&Ms#IU4$ zHectGmM%#|9(N?sOAsFl+Bxkzw9_w7&;U{h|vnX!Z=61P93bCVu zJ-oSx7VdoJ^&gkP`pXwAxoEWw%nxyV(rK6VMhV-G{{Ky+R!dbt9vzTT%YO1yjRS^$ z1|}vP^e{56@**7)37jg$?Hmjp;Mz0R~WF^jH;7VpTsXY~+F&Iw1Ml z)D(8;QTo@Efx-JS=Lr>`k=SaEdv99zzBdGw%sm&FHRo%<56S`ZLUZXc#qz7@6M{ic z>Y=vPVMc4aDr!?VN9QUdh_KcxE&#FvHaA#*`!9bTjN1KT+||uxG{wWiE5s3G(D;)JHZ z*V4|=EZ{hbO5B4=u`o(qZRcF?Ul0K=Q65PiRlyCy2IE~IgQ+DzS?)33S2~x@w}O$b zY66(0;xsDKPO0@@C>q`H?BDPrb`qGlj#>ri8TH|mohhX%If@o6aL}CNgDFOudrEVn zuEYEiO4mrPd+Q7L)`9I&)yWOnKW(%9oh>mo)2n@_BhSlayDWR+Aty|34WIPr(qj%C zgb;*4x=Ul*WL3N2j#*+;JO4Gp>!3Rru|-36ZTx96Yb))-b7Q2 z1Zb=5YuKLp$U?`{*7HyEZ1u#rxUC&1wc$fXU$B|FHj9@yJ+5cXVcgzbfbhlEb0=i~ zXphwgVG-Bo3-UkcY*!qOl$u`@-@ToJoDTI0=169bL&9ltNqKu^s#1}^+kxL6xqTlO zd0)+K$n;bJzO#Qxf^>0ny&4D?EiQaWwz334T_+8`!{--0DmgKPdEr9I8XZ#@BJ8O= zk&cAO%okw#S&o6!Z24lRm2^Wk(;t)=A$F`qI%1q93=(ZoEL=I;^(2R2qQVasIia-WGZ2(Aduhn z_4Uo_2O_k<<^9Tq(e$$BEL$N7yu5ZpZPox*Fy28jIM=d88u*Ji$#|1fSr8PA-uG}Q zwS1;h5nj@!`s%OS6b}mmbn70pWATw`1tT#`luAZb7yneWIRa<@!bbQ~&Z4Km=klRN zZzGaYPU7Dc!Bo%AwFEh>l>>47d?2^zlc=&78_nQ5x++UbdXxZtLJeZYFYelpA!q}Y z=s!6{<}a_Lr?Wf=_n|iyN|8iAwpMDfOBNc{XVHnzg%?1mj*DhdbB85H@FBGgkt zme|TQd@N1Fa*RMIAS{g`H$KUIn3dztR3cQEFdFj6i#pm9Lb$?#LII*Qf!OohXaPQX zS=FF#%Gw%v3l_1#aM1m7R4aO(2Qj$1eiqW907}ByD0GezZMJTa zeGRH@a?7V|$%(?10QKIy8Rg*#zOf0dCCo6FgHkkS9TR=a_S+Sc)@;(QhZh-EiLg?p z6*ySXUCG#*+K0Fl@k!r+g~)fLwR7gv%0KBB+pVCKOkvgfZYY(=cyZ}B_1#&q^!V)q z@nCICI3QnRyH#+2QHHjf))@^7@1Ms^*8I@p2!#606Mm5AZ>M?&Yci%B6{4_8k|D4; z81LJ1nfW8nFWm&geB#+ahqV%ypM%h1tCvhT9zD|AvwjP^m{MfSHfnn0iLD$2j;NwQ zz|9UjvKcOL?DXuz%sgpr_@Gj%O4a6(lhX%9i7@;eJY)ixiIkx+KO2Kp=$z(uNoJ(< zqV5S9h`BTci4-P^$)!)KGY8C%q_e>Bmea$yY@gQXrW#zFwfLG2hM$CeH(_vrp9*I7 zwqCzm_Xc|{uWuHHO%_L%GM#t$cx6s$`$h?D-*QX><{zRb)~p?rq|A)oX|4G&cxB>o z+f3{E?vtkG+unKrKAjzHlkwkoh0#ekdy%wO@;n))r~LcVf)rvIS(KzNHR4a!~qB#cVp*RNlIFkhxx@xO=+?*q2n zKik{-)>v)8gTKTApki2L{P#BL=-`71fVy(`W-#+AIk$!Aew3u(! zSt&l$f@+X-fvLrm9NtFc+!BmLOdmOrXHV`tysA`tkB~ZKVr|z#(X}ICrVfe!jg+g^ z8BUI*y`?dPl#7f0t$+fZ!?nx>-TvGQJ9B`>^~^b+uWfOF{&!rei@gs_u>6dijAPjm z+&SYzMz4Qq4wu}%XJq~~tucVYiU)tW?L4uKBT1s#1}HJK2Do z_jO@`GrV|b&+)&Y^!nNLy_Vh8F}|*TUMyUpRmj&ALk+OT_7huS(Ie4`nnDomw=cKS zNo#g`#kn&`G$5`?f1-bnm!qn_09M*7<_z}Ps(mNdj6NK38SP$q==2g1HVwwqqpNbxX3I{sAdvMwfEol<@O zjzvT=Zv&y#@ScRp6c&apcC2T3u!Wm3Az!>S$6(#c;kspt>d?WO-i!o6i4x0V?V0QJK6!iDfvx_rPc`+Y(a{M%o-rh*aN_c{tmWth5Cjz~yu_ z_b05}E*G|IQ?P~_Aw<}E|DKshDxj{~rL6K0Q6P6&UdY&=NrF z0sPQ&?4$dv$IhPCZotqz^l9rsV{NU#y3qlgTJx(uA)V4wvNwOh;>Oknl@E`~f717l zzbHz(V37Ni;r^A=JmI&-C5{=DXv3Cplkn4}2=fd{X5t^SDz1bd*)@tcEO4TQKQ+^k z8>Z7BCSwaNiQ)>s=0_(gdssd*eD}WlmhnIZ{#{NW$?9yGAS4kgUr!ln9)VYfNpp4> zV_{F6K*Q;(bj3!))P766wf@ei$sD=@EU=;Ze^pz6)8otVpNmqv>xeZ;LXKVFUYYZ!Gaj)L2#2Pr zv3Ck&by__7eLo8ZVd4CFd5O}vqkX$#7$kq`a*6%cHMvVi>t_zj<(wb}@w7gQo)EOLS}Lu5pNLBO0CWEw zrklPUo4R6hxh!tK0?-d!5y!dM_^rxX@H-q-v0+^H>zex{)E44gI*1q@RIUIgXl7H< z-;F+dR$)wu>}|mO_j4+ovV@_{oQNtpZk;+`V&V6iPwH3&wFkn$h-)hu6-KEt|A4=Q^Dl)UnJdTX6F*ofiPNt!|D1aJQD*w1)y?Qx@nJ&gI| z;;=(5It*akycKhKTh7bN8Q~DquD;t@aK_I%h4n(qMu_ZCITzm6hIiP$erU2%10zu1 z&FO@^4r)0SPx3a?DoX4MDakwWy70C66&u`0V^Vr17px100FuRbHM<|18${qR2|`cBgIj8{i@t#sL4yp$8Bb1Kw&mhw)Q~ zLpw!b9QA;Y?eyZp=}&J6WZ)z?_M2U`UMbFPyvqmVBUrnS=a*4kJdN9@7|-qXzKP#G zZg`iWA?fO&rHncy9M+UXg28dazO~YHIFvw&+13S8s;Ex!N$zMj0>!Hm#j!pDa~{*U zY{NGeo@G!eo=$elxLU=mvLPq|jS>~~^QS`DM~N0JT#-M=r8%ZXXC_JYg@2K`%W%AG z_tOAFMeU(#ToBI&*%@{hUj`<4Pzh>CM|n8<{rnN#??g>+kMsSix~{8!>i!F2u%UtV zl&B&V_6U4L2xH1BMdEaPGWqei!kSRq8D=JrZY|BUFfN9TQS48#S&0BklUV8dAgh0` z3|HV-wTt$kI5ZGS;ms<7?pk{<(=YySi$vv3gzYYe^zX+TYSTv0cuI4>7%QhgTC)q9 zkb9}0p^LIg(xe*}t{6I4#H3i(r%u&hZGH_kKt9`H56t`XLjQj9`@P?7^NFJCZk>rT z1nvH($8{f%W`#b?=NOy?>=(->N`*#G^ZsdH>1! zDH@MmlGHb#{H7tG#7u%F7W=LvK$6)VS2wLhMBoILunzPG-K)E7gFNpyu!*{8v%kC% zZQ9zs>mVw-!UPqfBqeYbwYVnZlX@ApZ}_%!TXAmwX|uA!lB40~?GR_j77Rb4?3vO< zTykUS6;vEyfBMG{3XODux%m{0?^9$>DCmG^r;&?mWRi^gTTbNSS- z#wsH5CR8&fh4E$_d?BE*aEj=a+au3Ujb6io(KcQwPTF+$QlgIICQ zP(@rXc{7?5125K#jflDit{`%&afW{8f?V31f1uwR@97Hz1UVNoWX-~cf;pKnH-}rl z)z=!*awD}XRiN8f&uWu04>&@E6PLzh{p!@kcS$86I6$R zJ%~J49QDTe4t_l_8tpE|upa_i^a;;+3_#oRJ=C};eF~D{WKFsK!=;MF4CEslNNlhL2i|o|i_8;25Cr~8R zL#8wv>a5mxD;(hH6}Gmuwmq(d4=|ZMyJTv$sf1%?3kSMu_>eb_m|F32w^C&UsIssSTtq&gNx5GVu0ks()kWq2oZfT~z5 zn>a-Jh$^^iFYPHtm^Cz1P`k8mTD`s*L4y>nHE@_Ds8D^i*37{AG6_C;7t-C*_u-zf93hT()V zbzA+*X~AHu90zddE`3R|{8%@_zQk#JbFuk?9_=6LK_SxPIE-H%zoN`_b4o3}Rx({N zcXB@+CYW)@6Jx@*%=z?ZtQwRhSIGC>t2gQC@AQt;`6l5-OmgcN)i`haiXauD3YEXn2MBQ(&_h!@*UpJGvhiS3AB9e#Dg_q2=_RD%^yj zbpG^CnkhB)dr+38WWT`jAqV<}_We*M?a~Mng z9r{xaPuI18PK;Pj14*2$>`F!@M@$(xDhxz90tzby|FFf?D_h+Z1!~Hre4fx)ky1)c zBgJBc^yvpAUHg8BzXT9Ua{l)|!@x!gnW0}2QH2 z8o)9Rl&}Sfs;B_u0=S?;-&e62l>bIY>2ejXyvhUL4mf`A_rE9FF7(1?io;bwUxElR zW^rClNly*JsGbvm`)Wv0n9ww}>XdvKq0%?3^KbljI-^XEgk7xo%J>b` z;^X7(ggY;8{%sxh=xKr0u$%c>BFoB=NZGSVZIwk7g~2mIvZ9wwt?Yb>l7*6U7Eaf_ z8lCS!Zqu6t86J>`{&A*vu(Pg$;{S51zJ zPJvyJvA0g-6cv4F{(B3QOpGoo1o9W_y1<6SoOPL%TH(m8d%gaec77JG?Rzj2#8h9` zD71KZ?0fi^B;zAMlPFdv1E=z1bim^I>td?v%+Opj>mKVTuui_kL(OIRR@wA05<&fw z7-MK>TuIZ zVC%+#kQh8GPqH#np+3rAfsu~qF7A#pc+*@%mCyIzwlY?p)UKZGo%Zn(j<(?yXlSPr zM@k%mSXN=ln99f{81q={XN@DOcUm|aeNbhT!Uxb?zkp`w8dfRNUpsE5k0o$vNjpp4 zEQ)tAFfk-B@{Z^)zUok`N?rQ-T;%?d6_%h%NUMTamj!3^9{eR89OP)E*p`AhRz?xS zDf8g-UfR9J*b;gv$3dE%Stv-T>Qy^@ybt62%xPr%K#T-|nk5tM2qR%iw^?8G#1Y(;jaPs5qA=VlMS4PiQBY1Fz`$6|+`D1>^~)AZ zCaXl=)5C8~$;>ZB^M!TsoW5Xt7yh$swhva{^a$Qo-i*~B_YZJAv`8-2UE;N`Je7ks zfq8(#5tw;-vPrO!lLKtxq}F+-D8kJ8#G)PA zMk2jj4C8#fE_T9@QG4Pl3R_3j%>Ea^&ZdBS+`!vB{4$4LKs9rm`2vFoYznN;7sOzO z!l%Ac2J8;)86f0C0YavEMrZ-u%MTcP>yJ1X6{Iah<*xXGm_VE)%(OpnTi@)!q5X$w zl)I{e@bR$usA#8Y+ z9@+|u^sRGJo)xw^wmHbv%Ku~)F1X>qs4PZ^-E!Kd@rXJs2))$KFcL54LTQw`{7hAX z+PGCA_x6@RZ+2_@W$T$OICX5eJfDkF>@Gi_Zo3Il`m4w5Ti5d!>6B4-o771r*A~Zp z!aGTl(hC?EO=W6@h->`!RlV)4r?vO{fES^Bb#fiatKwH8#7QZFP~)*ry54V~wakx% zydQ)$j13#xFDm8hCu{57f~*N~si*#~vbOXRxAKEkw;qmfoum(PI|Rd{`ZwsqURE~C zr%U8Oy2fi3`O+rG&9HDx?s`_6vPP;eg;@*yv9(J9A+D|)IRAVQM1^3uEY=~ z<0rn(^|O)ypH|~-FswgvPCQh)dZkAd;qeNNhiAc*1UZ2GYhl6m3S+r+N=HqsVuiyj zm!~~on5py4klc?YklG@ubn%2vUzbo;F>z56jO^;^zwL3Y6rm9xAS4)sz`kGH6Gs%Q z&D;@0KePTY55O%}&JatWLfZwc5nW)-SW@lqNNEwKz^1Qvyfv(%$M-*x9a<5x>?{My zYr0}gaW=;&Y^Su=0$~Ier9DE@Xku7nauio&1yL3+x8G6A5JhfO?JNOt2G!j~WRNQ& zP0I*)!WB`3clrJM&&%}&u?2Zb{;nvv7`bi*g#2t-#Hky3+>nuxKF+4yvNU(~yWtH< zEU2+MfC~-qyM@-s79g)&)p1yqIVvSXH0rv~Se^&^!3VBRvD%)^|Gr=Pz)1*V_NWP? z86(65l?~JV3~aT+lK9Nthj6l{Rdh$NV2Z<8k(W*yq>AsP529fg2J&Ii*h)3GzjNJwB>_l)&x* zrmX$93*X?=3V=0w!aeK&L9Iqh)EiCQO`;vb$ez>ojUZ3Un^_i#5}^6_&9h_e_Mw%$ zj9iA8@Dlt*y68sRwlZJrVnZ*8T)#retV(|H0gMR`ryz_;aVw;Z!QhQ4Vk{`UdTQ7Y zkd8iD{-(D;!>isB{_b|EjZii9Z1;K`3W1sAi6_bxyjL~CxrQt{j1zg3;`1a)Kc5Gl?_xO z&pVx}R3}VX00!|UvpE*jB-%s3{8T$T1A#8S*3f={i#}j1-=Wqnm8xh1`nj;N1!oTF zVkW!;?M`Urbfs#}G7%Ao0Y81o++p#R#J%goeYKKAJSHZlw*3`yKrl9iwxvEU>n}Uo z=?iCxX6!G7N247+zS>%lF8=_E^Xj` zv9?)uiE7vRd^x3-mOqzOxcF=P8MarRf>7#$=)5&&{B<58v}RJjYi-9-lO6qLS?$@^ zi;qut5PG3Q_&sX}5dCoGs#yur*jrsjovLR}Y?bWJ1dcFK910+)REe=wfx!JB!OEsF zc;juW_Sbxd3#gd5xFc}SW6?J-L=)i#H(*97l~JZG^6XLD`w!^*O$gJC zqjyGm?X^(#oHc*n?Fhh|D%AQGU;M|q;^M{p6XZ!rYznV<_H*ZTq+MNY<4B%e{A4j* z3`ysA;t;xsJ;w)nc*Wx>F^Cmown^QZVaHs*INHVT?@`jvUnMz`Y0!is;&GEFp+5io zg9`nLQcxSyT*Xpa_*!^O)qzR-E_Tw z9!bH1M^6Gs*vnPXR?otF45^bk!jS~l%3m6Ea7wKVhEZ_JLFLPZU(C=bg{mIuqgQ2S zkr9uprUK4p>qp0_W9}nH_e&i%9PTYEg7d`~_$P(W?WLa;fd5IpebX}~>Nt4ORgRaI z#>|3AH@{NT94ng{t=!s{MTw#CCw+@H`kSi%?h`puaDd$B_}&{IPnF1aTxwRWq8Te7 zrs?qYNAV(+>v7)6_R#N--#!+vH6cSo3nbQ@@VWBvZ4P(!7tbAXo2^;1yB>Su$+`(h zFQ$zq^YdddDw1n?Cfc6x9OELn!DZ@hiO5g!-FC9`JCM$0nUvO|BNef+#h%p~62!kP zZ@Yt$iSdL)qaG#dn0W_og@G|PGYuAT?wnO;IBv@HTsv6IsAaP+_mu!JH7D1jwmZ2X zkA$B^mKJ-*WD|{RDzW{BERBtgz=+$@k{{&DlfB7F{h<%2_P~HJ1@-s?eGqakU`kQ&L=vhI z?yQC?JyElP0DpW~T^Jp@7X@1}@}{3#ysCbFKbrOy$k}H;qwfiyaT*_NDVW=D4BZ>I zZ`E{!<~jVtWw32@&JnMO08ujWp8FAA=AHr@5xjPcBQ;3CMU#I9LfX#c2&O0iQAn~z zpV0(-KfO(I5*b~`LA9O(eUt(#21^$!5qyfaaLG_@l&M$*q5X&w&SKL8Uk!UD{Aa_G zC7DbA=WXw4nIlm@<>?X@7uPatQI)Xgvglcl?lrVD2fenxTt4GfHl@aRzb~#yx%*f(!wKSEdg29>lY>O5$5TYwR!VRq zS(O;bmKQCZzq|Ulbuy2gAFvt?)H`c>J(?oM*|)>t)a&`~HAWOLtMY)2-rN6!$mg^R z6fP9aRsou12;}BeG!&t&HD4*_@afNlNK!gO0)8GjHYzS_W3QB6bHAZkSa%$R+G)PY zZF#ejJUeT{FLuc0O9B1v8e<@H`xH`wco`B`j!@GEO^$S(Jdb;2@xb)U2bJOL~J;36F2#fCYhfmQ)6xe(Ex>uf`n>^ZgJc~QPhN?K`h8lw= zT*|P`LcIn*C-vJ|GGCY|4l8;s4gUfMx|c9vW>ZC1&$Y*bE3j60^g8 zM*WARA_`m{dd{X*8pSxFkG|bGTf4=m_!_!8CT>m`-{NUNkgO3I1;*5silt^xtN1FG z+v}PT|LOa<9|CF$bu3vi5MoYDmyg`Im|#q4j0yA^+z&JLmo{WpK-(%0XV#k?`Xv!8 z%G})g=~>M`-|Uffg2Y{%mx5qhL7u0prNd%Qz3m_}-(bVBq>_kWM{x&^q2n9c-1*OM z+Q1Hno6V>C+T_U;-e0yWELYKEe;k$J>sHCe1&Ep)SP8iQg#j$7!7KZ#&o=GBfftDL zO%;e}+fb+3c(!jxiY85)eJeJUQ^#lVVE}t{?ggKq(Er%x;(H&R2Q+_;8Fh0l$fnBv6v;%XZ zS<+##+A|;r;o`dzoloZv-1YVeKfp3HZ0w($8NxyyhnVidhm_{eZcZ0$&&= z?}%^*C8cA?*xy`#L8A`b#$WxW6!q36KqemQFPv35cg*^TBQ`K*TE7C@JG8z|JYkwB zPUV=l%S(V39Wj~1=e5_FIRP}*xafgBl*iA)v8D(QOXV&XcfzdEEQeXL)$<%pJ#%vX z{>aRh;|7x3->s_PH7y-|fu6gmXW*mFO-(B~^h9M*&nuOb4rH*BO$No4h++Uyj@his6^>A!* zoFc+p2*gInkX%DBORNJadtyj*Mi(@oeo^Fooqimr~yys6W2S~V7KPPUQLTR5#`9fXvSl#xp%rnfH))pm7rM}{r@ zfy}rXlatBATUUJ^m`g4inj3jD->zVpl_6K&p;xuNM{b7wYy)NZ-qK)t9eDn>2uNXY zEMf&8P!ACUM&EkCVDRHUPg}#H^qu_=uR2K+Q82B&+6O^On)RS5ktH=>i20!J1tWEX}i}GkK+%~+V%zOp6kz0U;-I%u@1N?dp^|^%d zPA5S$Yv++`z#Rda&bTg%ZesSlAzg(vE9>bhd-0ph8YdL70~jb97PUcCNhz;Zo1SH% zsW-wsFulLH0pO7jc0kz6lMq>a5PMx+S2%MVlcQC-WM{p#RrL0?CPFsmZ;`GR*LH<{ z>bw=|utN5~oylq9C1m;2IB9w@V3z~Z`jJ32`UKi-VbT1}Q~gmc!4v4KM)XM1n-7;0 z-8xk|V^@F;_&dsxt{szJ>!3K`g#!oZ^k0Y~_e?_v>(hlJPAa5?53Y-}NC-JynJ3XI zEJ#Z$gM9^->o8ya?J@P?Sf30-t*K<`S#Skd9TSXMAu2XEzeA+HH$u@P!9enaVGCe_D)7RRLT2;SZU{fP&3 zGrPX$s@DHU3;=rJyRXR9{=31yTWspI|6oFJ{6WL1P(*@k{=hKU7xz-k%ZG^^1a%%x z`tz55KgijYNIe=opmc`^UHIecJyes`k0k^h$|RA%ZjkTi2tDYHV0lfB>#9_#o(27YBSf?G2?7@*=Aec~cJ9~dg9AW{VncQ-dXf6L`wK^Hi%un4;tB%pI65H$Q#$&Kxq zD+=}l#u}qNgMS1V6={zWPJRP}8%8R)A(p>Kfp<7ig7K2Qz8l^`!m>jw6x>JxjsV=uaJtfigCKayjlc;SYu@@c3sZ$m7i%(xB*2$g}C`YUg- z0@6qYB`w`q;qLfXo-9zx(PIAdO-(yF(9jHia(+%aC^@!Wq{}5BjNq|JY9AjEt2s)hyV|nm|Pa?M8JnD{J_RCQLR*j2Z9pGx;khQG*5?dxo(D(IfU9inaWr>*l}i zFgz}UwFEN9`Ydh1TzG(Q)f%r_AR`-aD}r*X3l zJOVd-3(%_4wjqic{1z||yjXc!q(j$9sxwQ|H9LBKFOVc1$)9R(tqQ6FPU1M6U)D?N zanwM6GoK8u$X^|twMMbz0?HiZoNCe&v;H9!Y4BI=HrEd#3i2w+Kz#fSeR*RK2u^(j zfC=|{?-oY3fIusuc*dbn_@GFmEMvsaHtA`U8hWT0RT^LEpLpzGJs_C;5`_pI*_3*@ z3Y(Dw!4Y@XqCqFs{0ylwuH|13Y?Pr&?q>gr-NFtTu2Iroh3zj3{VOakiXAn;+7BDV zjJOvxH00zma?>M+RU|8ZIWvaNIUfK^e2nD+_Fc+KsJ1wDA|OQn*w zRPJ(lU-o@*es~TKhbxdXpzmvuI?TzWk83moAw3`j0gqURrTkf|8hlS-;}3lw-A!Jp z#umPUj4Xg2bt$3>XQHpqn&D>m-Ka=xJmt#_zwNxmcNVzk$7_6s6-YeJH}w}h+_FdT zWyv2YcK03nOQLBAtWj(@Y?;_{bM-sHO-!U*6a0y^v1X!YfA_7}m)gn_VtztHTkEV* zU&6{}>2O`H0&&gnuS~u{ZvUQ42rnMu`u@1=M{snpJZLerv-WL0FX-*uwj7!@R_~`B z^*@lwB@JFRahNxAtaP9&3(@nzoafq;NQuv#pQ1CtPX zBbFmvubI|+b4wMf-8A-KRg##?8A8C2o-*U#IG}&>XJion$XZlpfSZ*=?S@kSK~HFHuuxl8}*UTv3<`I6K|HuZ9ti{Ta#Sr90guvZA+s>>59;t zim9yh#ngG{`y%2a3A9iLCxNByZFBkN&TWX&kfXO8Z!cE5Ux;^rH)CwG(Y4_p+}h=u z8#l=m534(rCQU7IBjo2ubj2TH$yBSA9G2q(xIbo@#&;N&%=L5;RX|B_!BBH9mW+0=J3 zh5Q|?ht%V1s@*E764+82+0#f=+B%%}dY{Av!H+FT1znbuv_|2w0;$j|k@XEtmh7ER zSdKKJuOSw27Ic;xR^O7&_;FT1=lD~GPv`{<(~d7kk6E9i5+PJ9e;MaWL(8Q*FLs*{ z+Ic*{fl4mb5p(zQ$w6!_tp)Y2PCt^Q6@B9A`cm=X*C9U71Gx8@j;dbg)fT4BS;k?!GL1TilIX9)EB>wCnv-DS&F zD-aDg&j}+oV}T;c%n4YSA#B^5n34EiJEepbv0mehc|^Vt z=r8lk6-zJ{n=acfV8REK&mO-yPRjwy6tq@6g|o|l&I|fZK8eqwIM&D-3CF=c9CkKN z=cuJE_cJb?Z@hj80m2Lx_V*!d#!ec>5~gM*u}X(>{P-%w@O(WPOWedamYVHgzAh%) zZe~r_+2J~qrj<3DIB{BsRT2gUV0YwO0SjG*3~S>{tbiSFP3BNK^>_+rNfWc%!gUT+ zy+Vl<`^V+0;{Zcj2TlEx!(_@KS23P>1_`c$sqMf1+OM4E-?V@P)J8xz`ts(_n#WC> zA8OlVuN!)Ot@Pl!58;8~cLu|LublsId@m}uJQ#gBStXMSVRV9W2A*&bqxpvFJZ6)> z{nbpm>mYG#VfbxIB!#4aO&FvaYtA6KGj{k%IV0_Rv&?j@f_IvBTJhx^e$Cg&(6yoJ zd%6QhIGxCOVMw-VvSMrZSUk9xTyU!~oL-?sj_==WLu{dj4GA{qxuNUVMb$-(=NS|% z7dq8>wY6VVOWbce$i9c1eyJM+2uLsk<={i69HA5w=N0|^1NuXzY~Byg(d;(drix7<|}L_V-c~=wCKBZpgC!zl&$oLovS6 zO$PDe|CHO8G39f|t|NymmL_0&T`aB4onZt z-FRE?CZQHgrd8)~-$@WaP{bu9r|2fy`Tc7Ic z-939fYyH-J69MkMDUQN(mft!tI#9w%s3%n7C&G$@Hst7rR@yK)E`?Jz)ORLRm(LSV6@wh}T3CK9kY$2g$A7LT~ z=Fz11weyOaAJK@`h3CT`#Hs`fCa1!>86#&%)X)3WgkK4EZzJI32aKXv!qLK;eM;;_M< z6PGDtNIWmXXZ86wCH;U)9W~Jkmj6OF<@2&7{1OWGvc-q1V-0$Kf>4K=`|2 zb$#0N5r3IYp2SATe6Cla48%yguMfLpifFik!wKjYtzFx58QVlI0$Lww06o2}XRO~U zDE?%EURKauPlO^*PHllhW2J`dc$OE+apd6cyAfii)BE4T?&tX68tV`g6=QRB7Fq_3 ztM^li+r*2Gp-gLEQbhEQOkAnO15J@`@ZgTCsK!MNDe_?WG~=zp7j6 zzXnL1TlC}su`q5zG&XKNmlrefKZ;hh@CYNYBf7KMj=OVi0x_=m`*Or>-|(( zFIllBgNNF`Jrn)(O*17RAfhN)vh4W6CULIFqX=Yxa{0m`UoBdbLEWf>o;RVv*PqVV zE#0K{wFzzT@+78H8eMfbu3C? ze`QRaMvo=z+7rS0N-u;)>6A&R)+D0Ca%oH(>_^h_FSuFEr&DqUFCmdUCnIO~_4QkG zb4weV40?lUb2Y3NS^Tfh9nNZ1b1VTZt#2^+3MDyDa;Jy z5ZJQOGnB61_83W54@gN$rPi1n_Zsj3y`(VBmss(@jMB3Q5}k1)L%s(c75lhHA7*r} zJf#axh_3wID4WT{8=x&ml<}68lVf6R4D^(KsAB!^v{>-!zxGaCvJ2~-h5*i>P2MTz zLP7(}PEi=EK%Aoe%+ksrvaV4DZpj*MAOY$v6k|@ekjQMJNu~=`e~R@i-Yu7)bJDqV z=zbSN5VL_m-tHt*j_(dzq&Z{W0rV*aezvWP*zg_U&x{eI+WfB_&+NUIm@>I(kzgTqh2A2L+==qZHmlRjgj$VI$vqRBEZM&Tt2k|2)Vt&Jpns~%6 z!nq#2KBcc^YS68sAa~>un40!K9*r`DVDj09O7D4q3@#0>InkI3(AY4ratlm#=hRr$ zDRyj#?(OP5lw)id9D6s0v;Mfk(}Uewa94j?-+ZQi?bCn10fsv@???D<>!Rx6=VGeg zbK?31->L--oV=h!Bo8ohI$IrtE?ci=8JNFfKIy@&{vZd=#6lHf-sXLtd|1E@M&!>| zSCTX0Z2VjFTW+zYu4(-b5l7Jt-EMjMd?A2Ss%(lM%Y*l=uS8v+(kh64Tvkqg4&CP3 zDQ3~B*5U1*L93cLitl9+1tf&h{TU3zh1AoYxmhq7?8rMJ)PS zT-ooPSR-Cu+w@4y>6b4;7EdE%GL)3#xqS=C^04B~`9svWM;f@!vXkq0KTzpEw{hkj zJ>jwJBm-}r@zw8`yW3DDwIGf4B_q4%WTXz~eJFL#%JP-mk`t($y!@T}XKem)2~val zl))Q52Uz-)n+e%8!K;^8+$&8s;E5L@W{2=i*p0A}E1S2mvm-8F0?N$eV@sfQ3ot}B z9{^lACSs`K{!qjrvM_2ZyJHlI?S=`hvPnao#54wOylI3BucT27h&6BvCL=GFE|hX` z*j1!m*RaUbXh#B4(4Xj9{eez{`j!R>dSZ%n5@cHP3i!_j z3+2k18-owf?OhytTSlPI~aJSKrj# z6-5&tnGry2ue+t6Puj*XON&~wsuA~FhwD6Te3|O;^wQtEJVVray)0lypFR4^vHcB= zix@|DkvltU&&xQtO(*m2899ldJ|Vwg8H^f99f^;YR2Wt}o{=_a@~ZdKOgwViv%hHp ziS34-Sphd}L@wKh>R}*Wf1bVja=sSGZvi!_i4z_WmjoQXG>i=my25U%7hbhqg)*sQ zi7%B(+n^(IB*Z?UofCKaomEKxefxLozZ?Wdb3a-wI0$areVZ5QKm)jT3)J|rtmQnN zH`Nc1eT(|5IDha{sp=hC>9x~8FQju43{Q{ijgQ<@IG# z1Fe`?oLSdg@h;(gH7wnKn(b{M=N3_1SgyR_La`Z@FN+OV4hX(W%gaMJJ_n@-@N$rw zAyu1tCNrF#=hn4GO<_UWs4#!6zPGOv1EbFNBDTbQ(B&tdY$|)s&3z=nH~b({KNRv4yK^DI*JT4fLmP{aGXzL8x#Hmp7-p;jYJZw-?QH+e6gdL2XG}5dQtBg) zlL1$nJ*9!qxsg{G)4FF55$5@cf37gE3m}ga2_;NUmmADc=!4s$fpPwgXZQ2JT7kO* z2f!icN!(r&Z}*2HF4u&wcTv7aq@;aZmP$#d`A( z2hstS13_jlR^2}=o7b9M7Xud`O&%va5;GqQfIDQiWkP>s3kvq5bYC$Fz8-kHaLVzG z7jM+evu1GKFHS)n3w51^Mc*@M5?|HL=_GSLYQe6|(0 zU7J`^Nf}(4JG`6E$i2Rs(NZXIrz5^x8X31z3FMd}E|UdqYx~z7>B}0cE zc;kdyyktds67mtUld|ZsVu~WUtDI@vFMZ6RUoYeBFn|xTZG$B*a5`>Y`DTJU*+z{n zhbh)s`x`2yD$g5nb}p@m>{t4bUz>WOQ7<6lI>R9Os^P^0CbST;(`sGVz-U^@ltxPB z&@1RsIEAd8C1Enw$J#7w; zbCk!K9(Om@sgA#OWS>gldNn`K8zV0ruVkJ`%eol43Dh7pZzfsxc!4Fp9d$vys-ce& z;pPKcU$`7pHo&u z1KK}jhLjF`p?nq)&*h80_>@vR0LlQMXWs)~v9ji7W_c^iUw~q2_+y&nD)*tLPSINV zTmvS63@N1n0egt;HMZxvmX()(?3mb*4^a1c7+U;lYONEICD6+@H&-yYmz(GfP^Omo zd_siS97h6+iQ#!Y->>q3z8}|GmYdr46bnfD0dI>}DW;OX~^FvSnrM`H~~o zD*QiHq;*@630-Tm3{}?Gq5+N0W}wt#6W|Uz!16?49xf_{o`qyb?X87htx;SmS@lD6$OZ zLY60c$=s0nkd>9J?qx;R#rhQN?AKxPjM*jYR*;uF1UDYp40EL+mg%ZKgHf|BBjwtoH4mr0!xkv5_X?Q>*h5|5oW2 z&NTk+D|f$KCMJ`oX}^7Yv{+)>OAey}>cW)K2Bo&ZMBL^oNp_Jvd2$)Pyn~6`S)x#_ zs@_|Hu2^RDpcq-H=(lGUg9N?GJ=)2?XR%tU+or^@(rr}$8C=u zdvElUZqdN`J9hV7zDqzy95sw=LFh2Pr$?HMI)NmfjfI=g#Rg0(JK-Y$GZuqZw*UP> zEb@h-WxN9F&`h4NZT-CZJI8U6iIIDk0ZV^^yPf`atTL0paX)N9yY@cN#GN&X_3NiB z!&IDSRSBOS4-yfeC%W8fmC2j)%ZkFps;K7pZJRE_J$`V2?W8d5Mr5K`I$OP)4JiT< zJOx2#Oo50_$EnW!us{Fj$1S=^tJ6Mhm{kIUiBw4v0QfSab=~R|7^gG|zR#rvVv3UM zQnJoO>B`9sDM%$0E#Cf5JnOheJN(YmmFAAFwvjg|md3-Ab9bvMb{Awav~I(qI7T#9 z(6HoJ13w0GX%yyg|1O;Z`)=MURp0Hpoe4_pQE!r8jAT=7>5GT|;EB^x=kmpE%@!+k z{2L+&D2imawk7w%Y%r{=YnO7fqoLAH3&m+)d$dRdZiaO#r09`b9?0{D%YkPfxF~_MsOu4=g)z5 zhMrA~z5R>M$Noo(|0T)0oP7SP4UY$fz{fxl3nIv({UVT6scQaE_F|hDg6_`t@8h&w~2+0}*nX8);>K-q3PvDtKKvo^Iu*mRi^LQF&;b=6`i^KP`aizY@VxeI|PCo#k$iiitLIj>hQ2`6T2!4mi z;Ua?&pC_iCINR0Nt!yx|!cw;MAup@|3EF&k&#J*!}vMPF_n|V;iUdO=3 z2h*8*=NL$J4kam8rhUvrqPWlO4gi1St3=>(V8im?7WUfzjC z_O6Q8VHAxdhz>VjYCq6`MXGl&8;ig@OuWOu%>dGkd23hGkX=V8hR1+OuJe;8>uB+= zDCF56~%F96{=mH!UkL-0f2#@L--&AuiOv%awrG!q8KT!gw77 z1PGvUM_GGl@U_oXoK0)GBPw=B)1(p@{|zx$h<-4PB@Iu;9`8cf(eN z*KKWC9>+7#gx*=kr2(Fp+=EyFw2$qEzYzGaBD#BCmuMv; zFh(>O^B5V>7_%5?Hi@xKuBF(eKSWbc>|(1+&V4afL9FuR+&(Dkjo;Gp79Fivi{dlAvS|}?i6eG1BZhzy}`f8ar12^ z&+=G@HlOT2sQpfRUOI|jFVKdANa5*aCw^ZV+Z0D$C%VN5qZUXh)D&OO@~Wf3u@-%< zC!araEmzlKUzMw`py!R%yeNF2sn`kAC)_JbshjO1;L)~Y-h zCaUtsdgXl8ouvx_u41rPmzWxEaaN^)>;9YRr}~0~)&@Q1&!Rj=&l(B{LziR3iDe#8MMW25Cgi z6r#DIi?FV^1S6ulI{i+Phk3gYiiNmK@v|DDBv%c?aM>>k;)dd-P%y;Dy6Pr!&S?eD3 zkkWPTd-5U|=9_E>u&8^xY4FCNX2n2J(N`a?7dE2*D^x0=*K z066~#Q_sCj&!t_CljI26fs)w9kqug;Tv`QJHDptkwlhbZKi1&Y z7R9fNEF>Gds46We0FbXXDBc<~*%U_j&)L#QJBTB>Y}GC?Dh_6R+hHV^bKyq_jiQto z_NR%c$(Ei+U4hr*bUzznt<7)BURkzf@xNsK#3bbMCtgS83rWJp{6Yl?~%1*GmQxNJxEnRFeo9OH6Lztxup`^jtqUe~4yF z3U69Sa-v!}mBs{2yiMoGuSP#(KMO;|Y9&XL_@w=T-gFfvL?E2>O0LfCpiv4b|5@~i zIN8Kld#ks59nQp``mo;>S8Dka8tcY3PGR$5lrFODAVRCBE07it%qLN9!*FyX)a>rA z3d}dKHEJ&&Y3r&miBJ|5h*PL!sTRF0fuy2H9@n-~N0rJ9R8A-n$u)Zh?zf0PeHTih z^qHkdlr|`Lv{^JXx6ek=_lVs769#uZ-n`Ia3BFCB%#6SkbHU`$-|ThfOPdbsjUofv zIxT;0JKN<=7ZnjfM)(x>zy(f+m`Miq<5a5t)d?j}A4-+Q=NI(&o>g~Pubqs++uvBd z#7(ZGzeh|BWy5S3R{FhFgOf6N$NQ)S!pjM3v=C--{h#i@;ZPDI@i9gm@s`?awr4x1 zh~0;UD^Tg?w6t+l9=A8LhpV-&6P^1!Yk>LPM$a1v#(o%;+e+`)?I<&J; z*K)yrV`Q>OVo_^gY(xktBKzu>9VJ8wW=C6;pAf35b-6T(Do{``SWXqM?dL*903Q;P)*RXu($ z$;w^`E{;5Z*9B|Mt~~sIPQdtAO1!HMiM{{ZU2b|gn=CgGC^GWWL~ZsJ}8%1ibKEgCpv z?m=oi1yXn@?G`t#ruIh+x`MC}K7ayOR__nDxh#wc3j+xw0w8mQsMwA-oOIKz_BlLW zP`OBHU_|0{3_pn}mM^+H{NjLzx*A{)yLxY%?x>NeQU&HgN);kYeh<2om|P-xfMH86 zWeEsn00D>E+J>g4!8Yf^AvziA*tdp{>n3Ao&V}wi{E5z_;=@fs(hj> z^^%J>EPYJ>1)A|`?q8oUplSTdf5uZf&^ zw1q}ZXz9RFw(p#DUd{558$;4DW!|3C#Ta4{P0|EGj;C2F_-}Xkyc^34HtCKRqqGQV zK1o}XiB#$0QSWG5wcve@KHntXV#z7`L?zNSPBP9I#5d*h#CRPw7= z@DF|z>Do7RHOF!{ejAFuJ!2GBpu~|?exMx)W-sLgVS-FlhtOqBia?FfugDF#_@`#>8XE&u`xj)pGDCdqedQv9dSYmOVYBP ziHRu#Zc+K_UqF4X-s4B)z7@oa?!ho^;#I|64^rKJxwX^#aQeQ1^j)h<1Q_ln6a5OwNcCk+xZlK^NG}T z3EeJXl9w;e>KgGI5!%kE*v=KndEf8T_A_v26uFvInfT#GrOx2J(_Ykc7#=Mcs?dk% zTBX(RjVG#z5P@@^9f-OC-#t?dFFZ?RFFm+{XO}&03WqOjI;HIGZH=;v&7R!-uRS+> zZshDXI;9$xeZp&xa<@H+YkS^#PESu^gqg`MJKvvAJ@Ot@;z_PIK$v3n#{f`*(?BKf zyT2RuDv_?lu?;Lr`1!eQ8g|+&J5kFi`6{b;f{{fwmncp}?G}Q7W`(50uU%txOQF))}?Lv@5cixN1WDJi|w!v8o|a9Z2^1+#Q%4U7!VAfn~HY&Ap_jYJE+ zL9yXTgIHOUAfJ>i<@0&@>&WTF{CxVv{ePHfQl*ayxH>|ML*|8sPCRa;jFvg-WLH<) zPUZV!Gr=2>l5r!}{V_PoYK6v`#U{Iyiqu>YAyRO0fXVio8AQ?vn=(lGju8o95o`8$ zyb}`8JpvUrkI^3?JDT{LSFP#!8zRzT6SU=>pEI!l^eM^nE!-$WNkTG|w1~lhY-C$# z+f^HHTyUviF6rb0MrCEvxXEVfYu2?3-Z#b=?Ui9=7Mo!s|JpHU9H!Y*S4A75(KysE zMN4_1i(lYh4U7b#y_SZlFk^EFp`RfngC=I0m~AnpzbsYQDLUV0@bZfmVHzJleTv#A zU)D*(5p>O*FiH|~j{NyGEuUYEF`aj<4l{(Vf{aWda{YXf7?qPM@)&LBgeP{07^11m zo=p`qKE}2wD`ifb@~(qsY#W?}ka}Ds=K64Y>#fTHe*41mL|dX0u2iGIy-4}Hd-Pz% zT^w0SJh#-Xxu&k;3CoSMXJBfGv;3?!7Obm)zvv2V%G2)qWcx5i(aVg~gBS@+D`!gD zUsUN&k3+}9W8jGh$rJztcqI6RI?M|(DBwS1J3|mDm!nP7a%hX@a#l-^pkkU6Vc_9R z=N+rKrD3OBl$B10CqPgwlLQ>Uu)!4aNz|i(7B}~irKOfY6?AvH*yga^haqSuITAd< zGzI)yXLGhVdWkAU!+K-Uq(%L`KiNa{1KpYt?HBIL$1s~6~t zyBR<+6F~^7+b8ov?MD{R6)frwJLNV>(uBQ@s8saoXVlv&9HZ@~VEG(|I}1aMeB~46 zBcQ-n#^zh`r}lM$Np3CORP*4Ljjpvu#<|+tW#`wk;mfo;(1!B3+Ew?s0bY`4O;V{q zT;DyrtxXfqdlSpdeD{Vo3n=`0w5$sPfhb@9h<1|vtTILw=2zQ`C@5lc(tHe(ko{K| zOjfdtULlM4mEtOJT5m^G@UAzKJEZ1R$M4vaZ*};TkpBU+eax#PBI1V*P+l~bBrp}a zyN$d; zY&tgGe!ljL13eB4tl*uy;A2fIwn$vPk6GkCTQS7Y@x1cd;{j16uPdr=JsTc?Ydn8~ zfhG~gMumdZ#6$FWp9oZJ|^ZpfhyUruVT@Cw3MXF zf(GUbJ)1O-x5}DD3om6%;w70BdG{hL)u%YGE^!uRXfp*q@s4-XzvY9=sc@@`4@Y;K z189dC-wv0S{W3G3a7e&|{IJ5Pq>tY4)Gi{tLfFVMi=uhRhLO@E7>ADIOnlS4jy4U; zAi<#`Mls^)u-ALX?$d-BiSPD+15YYx2~Zs&eNjkqr@agb>C^^70YJhcx(bOtSDQ31 zLOExOLXuSCEBYv95Ird!x(J9AUzxd)3j~eM9c*Y|#4QR`b_{=|aL{il7}hdk?T!jO zQ;HayBdSyk_3ICEG^l^n#L>mpup%m?s**DeyZ|8elve{S8AK*7 zVTFpzsK_6M8+<(X`B){)hb20ZBOxSN1`e=EM$#N*$+HuGRi9!`&EK8`Z^DniZ$KY8 z#_p&jHl$De$QT9e!%`-@#r|xf6h*WV^$^klB#*m2+WYA9^yr4SU3kK#Sz>Br;ldp1Ou0CovK%3Hd@AhP=ZJ~VJB5)ET7!pZ8hbwJ)e=x=q5Wqk#YlN(1R?P5B*&ClxLHTkK`(OZ%eaSCZ}#oPyv2G?+<>pa{xu ztu^8FB=kT#;B#<8#s7-I)7jz#H%az^s@!{ZuDTvfMap?j#?R=cWjmS z)svao@;hKxxp}`bHgQ&d6o?2CGWGwmxFU`j1_KWx5@zBRsX_18hbBUt{$mT?a|f8$ z1HSF}kT3xtMGbiCV}dz11=LVsw?8?2Dm0o5!CQISCnEoPpk9g@o&d zi0}ao0-%fnev_%|>uX-$NR)k{Er3ht{cu4B-xpF`tW~X4p^}lGPXZSwP&qFvIg-57 zmwNNMO!E3kZMu*>+1%SYJfw8~j%V$(M~pll6l(z#r}GzVU0iZ}#1bsu`S|uSgg8?B z9c{0r)1KJa_Sig|-CCA5mW1Y2(-at3{LQj5pYRZ)mod~`I2KzX;D-eZ8t+#XZfxN_ zWovwH(LXLe9x;ld#LZ~snzX*U)Ak=c^L(++pK~E5OZZJlFy5r$Wrnt_{-X=G8H_q^ zO&J5zY;Gt8&G_;6<`$p--3g4uzVhuU)ACzdQ7henS4SGwvzLwl=Vg%e)EJU#yMKKZV%j8s%Z_w z5{akKq)xs8pBRE?-;r008G}?*vM4+Mw5ZC#$iYFy`6fkvHl`@Bq5slxnu3TP92iSX zN8Et(DP&hH#jZu1mT}(V@lvQlvTVICp$a~BMxEf5oczfhPhx=S`5(-k5HM+T+N~8RRs8Pkl&w&CE?mcegPOj-=Kv%P zo+v7+gZ1<^dR=2Tz~%vLVpwO@QnTEcWb%gr+Iao%2{L=X4_GvQk^MMf0q$pDEt+3N zib7TXM}^8!(_dTL#v5=2IAjJ|**2Lcm^iXBIsgSA@ zur+=YY}r9N`~lRIj$Waj?eF^qo^J5=U*9Bg{DFYLc~RBxN>5xJ+TOQXs*RE{@&?5O zv~3li_fy##fAQFNIc0}de1iRkr0+DVtcd8$eK0+#l!x3evN`?tfk3Cz18udr^>R*g z0c=z6>kc>WqR5|{f!&Y6Cu{!aWDF1AE!CS7Z0JfDA|#aXX(tmGCr^LB%$djB?lr5BePrWmS|Mn8UOE}45wl|3{2jDpS0Sup7j`#-O176O~#Os;!I<&yqk zz2T;-mk!)nv|;H#USXCM&ZHpBi!7&kQ5 zjfd!eebZ=i^R3`*tE(S7+5ZZ3Ui9Ct)iWmZ zf?gOMHXm5RpCqFS%j~|}7Y;k%qB+I3WoKhmN z3s=FY$;OXrLL5p34s{`=$L!W$bOyJ}{I@Am%w*Pdd!kicHS|2TZgzP7x>>!R2tL;m zpP+w|#Fz1u@PPgF^QZ(V47EO@pY%=@Z?$fAJtVWVF<{u;fz&QF-K}e`YdDvBa%4Qt# z2uU=@ATB_$OR`M4Ooz*7k4TFMsy3c_WI|p6kXd)6uHquv)SNT3`R^0Ksb`l;wP=eb zeQ$p7GEpFLjrYt`D8V+gQ|rf5`@`kumoG22T)p1Q%-B`z4A1?4-Ml19$L+pPTGiO8 z(xy2~b-#Z*>;=C4tRs0@8rIO%G(6XTBVN=YQp{5cj-BhP3mOWBpZwytzdIctni@=? zR>p?d6Ae5hSfs+J4uo*3stPU&z^1l(_bbUUM=kmzFT4g!IjKBGY_8$e-y0we*Rl%O zu>j^oh-iPaEl80PI~s64TePeWBN95`g7E))(9u=r#jDp$@D^S1?rmh91L(yZV9Z}< zepD^~_QEcrNBc)k%FK8(cSqAE634mW6CA@~d5S5Pm|^E|`0u;GRc8OWH?OygHop-< z?zM|2VxpqW+~F$f zoBG?6OyaJO7hS<8Q7Y4>JMaGv40zM1SGud;uqB1>Dz&N8TCd}pySrAlZY%{NX>*#2jV0ZHj1#fLBcSg zh~5Ynw);qNwKADqNiqo@jYL)T+qCSgyO&8c9-s~DRxd74s411M7g3VD0eHXI`LAv9 z&|6%{+1A+}aSEO_A%-#1dTCQRMfJ-4r=NB|Aq~4q$`fG92zCeJPhbS#uq!wPGB$X((hLl5))jy)41BZ zS951*vPVR@MsaFW5+1ENd@09X`a{xG%MaUY-+99+U?NN75W=UbRPonXuz-XUIB5M|IQ>IE_VwQhnv0MkW`|FU zph(#lp6vbZ$#3?dUS3`Xb}7CtITF&3_ucTNr6E%f0v1~vj$z0Gly+*L%|oX5+x*=x z?-+t_fnSsk<2MrSs|564PcZXd5lRmQf=Vp`)GqMjXe8w@zhNQ*SFnYJg`pQ;TtoAK z1ZufDl`XS9?8opHe>v4i5N6I1&D*N0?sKp}5NY9{*!6zmZx)N}$3O)oj^CkVnNCUa z506@_hW3r?_4M5j|I{5i1kk?rn|si<$WA#<)eu%%M6_~@|`nYtNfGc1m>@j}R#IS@=I z2~3B-AL8_}*uegJ_;;}CANTl4Wu!8pj}n&up9NrDwLdR5CD(bXI0W7n=K5UI@}A*u zleFE3$&4l%8hTtD)?|C@WnAi8@}^(J1Umi1#6UlAUA2rb$=5ELewfCVS2|dkCLZ`< zno9SRPcs?&bKB+5sv_q_e%5)I~(HoYEJFr-|ykjYRnk z*eHg8!3=t4Hn&YS5pXiP0L;90Kc#P@WI?0})6)RPAa+RL)Y^W=x;AlII^|~TWrmHP zQjCbHZ>d>|qncEv>aUin__`WqQUz9Cm&IK9I%Tr9sj+*wK!SJq`b z^oof`LUt_r@m^;3%Vvb2hIkjp+ZSE0Nqbh+1n$qGcbT*jfULfHJz%-*kh(kH&Al1S zbQy5?GBPK%sk{C95l#jaU>nZt*>XTE^1t_BH&~fA^>Oq4(0{Dw4aI*7r`CRl(wx|9 z{wmDZtm1mp@4_7QGBYo4sGik$!{e-S$wjI%kQB8{Kzdc)`57WGlwXT~V9W+C6AO32?_-2bjPw+%@6zxQ_nnE3A3 zAn7x?GFiF*whvMKq)7ma%QVCY)^7ak_xYiJ0QdOX(UiA3L!*P~hX*b*6} zHP3zGW1Fn?j+cQQmYq*Tv+3n_D!phCmMmIb9AQNi(THp}np$sEqeeNQNDV%Ks%#eg z0ML(!HS2&rs0X7sDop3qIcH>1@0+&1O5~0!R87w{6;4fz5~$3qG$RXvL}@b`KtRp@ zYAWBTN@g&z0NWQ(t4c?EPD~|?$s_fW>>K>!b(OB*L(??8|4Se1mpkVZ=gd@n{TiL# z>Uxg6aL>X(&Y!)e5(aPus==GNsGE%u;?BjxUS`2hgMhBY#L+WxkUIM-G4O^2L#)-JZ2k8#N)mxV7Tk zD9Fk8Nr?lg{_+bzL(63JRJnJjNk!>zP@Vk4{@|bkxl88!8ZfLs^MzX)IMQB6xGj>c zRyha=2q=@Kp5NZN3T_HcM+9H@^|$6ps;^1jZ#FLv)RIdnw#xx6a$n2Kz#3zNWh{!W z-X7TJIvq_6uzpLGC=Kj7f)okU|1-;1yDfz*Fa!Fbd{lWrxS{{?yy@@|>pvv;=&dS` z&aojcKz%Lvx@i4cwfUi+sr{D!BZUT7>jmvx!sf`AEpKd?*#_a(k&-Y z3sYrp7yCc-|Jqz7O~P94Z0bMRSGYcT&@;BL3aa9wJV1vx5^CcboMCswOipD3c5H>+ zEcc{&ZYJ=$6JIzQp*^-%SaOM(d~X4n@ys%~Kq8jn(4d*#t7~IPp7?sh)Xy>Q+9mRi zmw;>5(@QluRYu0=!Fn^aJRWPw1RLF=Qk*rhbh#!uTfymS8A&qf&xtcd*_wpF9ohTj zgCB`#hRey9S4P2y(fEdz1~^f)jWju6#kA=hR>!kN&v68$|4HWXsQPwEZxtYZj$E*( zS>EI_`G=F97+2+MjG(k9Q&5TnQw`4`OfetCf-0^3>0%PY$ua;?-(UP3eo!U37t_%Fg z))1PACHZLaYU!rb!-=;z>NmZ3=~Jv~Q7Mrz6}z?}VQdmP;}z z0{lHdG>{@!zP_OZHPT9jPL*#FhLUv|YWC>pvF4Oa3>y-d;Qod^g%^ek5Q@N|~2g)iz5x(hccpTrGNlqX$2Dn$ex`?BrqX89CWhF3?=<kyUEA%AsDPW9aLfYr#H7SKA2{v%*a@bL_ITxp|mro`=`s z{%NW8iRnqAN6&Y-Rt^>BeN^z*)%3^R$LI~yTm0@^I`qyJz+^<$ortnD-Q&UIFz|k`BCLM0At4_Q-i6U1Tz)qPoa07QqUiW*NJ;d_%ph_{t zIdY(bohAx|S{C20m~L?VAM?vMsxdquwY2uf%JO#S;1~giDk>n^RZAi@{8Ig6%Of8( z5~RW1F)_AmniWf>?cSWZ@{O&5S*|97B2~JsyII)0MFvD$bj%Zko1j0Yl!fmq9yw_A zy5s+V*Zo?iU)(kiNs^=toB#f#@PjtJ)%#^*!1qa*Z&JVa`-FllAN9}J5*CMpFEp6^uA^H=r&*o01osvCOYAGB+V-RHYgny4VlET2>D&Aw(^;8DmsG{l7kPQ;({mQjP`fGr5V zZwaB$5+8_B7UJl0)o;p|i2}|9g)o3QQ3iC70L9%I>ahzChCcx6Poe~tae=EQFid@3 zXS%i)bkE++A=rGa871-Smg(3{mW_BFGT-gI?faQ43p|VO)0+o^eor5}XKeX|_MCDU z0n5vp0AMi!M84Y@2oQA+4yelHbN^eA*nOa}`ATrj4y+R0q))M&X>wKfOZ|sxPL;3g zX^H=dl=F6Ji8!c8EK#<;U9E0ESAF;GK!(1Cp1Flb)U%S0v1^X~i&VNqNu7OvI-k-p zv(UqvBu_F`uGD;aW8`Cal{!-N%`KAe$v++~;qB{bJwl`oZ{C-+uI8|1j?Cw0e zhIBP*r*vs$u?4+Vk!ZrE1N>tR8oN$~Zwl$7d#o<^UPmW}{O_4J<`&Ia>{fC{^R()E zUVij;Yh9l4)vLT*rQ>65Ut@xL+oH{>R{E%JzGY==OJH+A>>NuhzJ&wRhL^|gc>Y%L z(t_U&4Z^Mu1UXsfJKX5d# z>59`!%W^JnyfQW*0VZ-(kdNS2tMpAqUcq60(X!UCBMP-pe_?+$?{|3yS&Z1JnR8pT zc^h)YP#f{We|Fa=r`bAQ+ng1ui=$s3BE{pQXlBbr$aDeC8ONZKhQB-E|2|_twmEJc zA9$jS6@kt&&;)~+wZPnbSl-+$(_vHy3Fw=Bje>h7-i$Kx8*6o{Z z!Omlc^tk zy+4W~YDnHET{KAx{YVsFH38wGd(!gS8c0=DO+M>tbvWd1hnD!a->GDS zCVZbF-^|rOebo}jYN|tCr_hhFtcHs^5RVv@Z@Dh1n{@<=Smk37I!`-;tYul z<`TFscXx-AODJ9lnrL99XV-2XwBh6veVk9Mu@i7|B1}k`$72C^==+Ize??&8G6Wd+ zdNzSM2}Z};8>tH2=^iWj-7{?eMaws{aNOte=?EGgj|&J$qE+Gq=`ojfU0|`Wh`HT! zDNe4cDHtqqwZ`$}136xAxlqfdnu5noBwhrxKP~E3&n}j5y@aT)`2LMy^Lj5zQo-10 z0|nn-i}dqq-|Gsh#oB24YQNVJPoy9r@`Zv`Ta0+>Q4{IEZu(^jyne*SxRy{9gB!8P z-gkr$PLwi*m$1uczO#Lj^QTR?x6c6~iDTEYgj&^zHBG|oo}HpFLW-1p-WWi7JDvi# z56JIX9tZ&Pn96^&!M*<_)qaU0rBlY9X{DJ03q|cUKzD4$HJ20~2z3Jqb>L;nX}|GP zg%;RpXmtl~aJB40tTunc2G;rd#+iC1fQZzQ3(sd*XkbzRD437h>!KU%mb%LHJ-WQ*DCT|J7cy5!IrgNStXvbrTH=6o9J-P2ZUHF|@on#W@Bg2nW2i%nXFq$zoO8`}cN*s> z`Khqtxcr;TUZtPlz zwWoeA9p7Bwb8P!5tuBl!KsIM-Tg-{i1Ev*V*UZs^I&;j?RB@H~yY;)xF+djm^Y)y; z`>3Jm+gSsOV4fuN7{|CENosr8r~8j+5wurBT;{dXikH8c=F2J~hnV`NhA>ZxF556d z#mFjxBFYLR>wTICp)MTs)T9?T+)=cnHMl%i zsP1!SWX199Tog1!-6hWqU&7OpM|T%%suy+?Ncnn*j@2D6upuZ*~tOs=C)1 zwpwfFWNbdtIL1%M*=z}3_PJ*$bvmsJP)!F7+?m=@=`58X#?IS z&y{<{yXZONw!5&0N3;IjtRkc<)y`N9depkj>nx~UN$g_{3!n=5_m1@C1$}IT##am>! zVXHK4;Z}EZ{{dLm0mQ~!%5rO$)^d%uoB`-v6h8&GRK+;7&`%a_1iyMK-==G2dHUOs zYM6ZwSl?-liO_6A$)-ss=AZc0-Vl*DTP5(Pf3I(twDf$mwz(CM=xkt!ERf-3D6|76 z8e~166D3jR5~CP|a|P<;UWO=C&+T33D5dUlws?MI%q#?fyN(g;eDS6cLc0a`| znP(B7fQVKlSNgPPX@ycxPYF@T zHEQ1PPgdE=P?$>u`pePa==&aQNrl?;ebR=#4EYG)#koazeMLrNuTp7U0|{LC zXdPJ^jmAbA3`MOvY%^;wtWVFzZ>+g8wH;#^$B82g6r7B)-v60j^p3L+#7nc;tbJYS zNss_%^f&A5b7cEab%13gJvmcvth|tA$@)b-#s?EWuLzOHWDnuT$zi6kQlBHu6iWr# z4Ej(?ti(l-SR^y<<59`2FW*E{aa>ZA{Ga@_Iq&2Z^4pnta9G8IJd)l&?|dayh;*M1 z%EXeONx2?Gu%tg0{cDwQezy5H;4*K)wOz0kC_h zY02!ljK*wj3=MJIW(#xDKDp1kld-L`B4`{AIlZ7TeU}d|@Z?PVRgVNp1t1F<$;;h> zWmUgQp%clHfNmeVYGV?!%emxt_S-GdUu;WGS`OToL9^&1?#(HqsUR7gCzV~V5{(pO zVysFy8a5X-zbXNoyq`zWTt3^Pek@AwXhX%SL+*5 zPg?TIR7`Q(cGGFRVfgYAJBfbs2JNTl?(E#J8m5wdjB8(*$37|?uzVjzn0X;rLddc9-3~rxk;=@A#*e|Mr z3(%HZK%y3Ypa+i!Y=C+JCx!)_{?~5arpSYtX7HPH_grAt4$oRvPUkCKDAP$JNouvx zhU-4yzEGM5&N#kp@&1YnGVJHx@zGoTFGz)vcmG5AQ@qs&%jN4K5Fb;!-cZdtlSk=+ zRwY2l9ZZ1`xhipii`9ukrfiUjDNy){)MR5uuqU{0Y}BA2Df|e6Y}?s~nS)7Z^;(A4 z>wvU+QOoAUJ!(kBeok6J26C%9&&EWvZ8Pb3q9QA_s6vOjA`=hR)ct+r0eeMn+a(MC zA{J`Xz8J-MwU>0P;Y(xsO1~6CK2^0$vEi4=1jPgyy|!{*bH1DJ)eE=|vF?vxEzT4I_|C9L5~Da8Edy;aZz8Npc@={Sa%iG{t1R>Xu^oIZAb2l4nt~)E`_m) zghCMrfq4QX__hTvr8mjQww@Uzs8pNF(*C7mrqQxxzALi;9z#|)6^beGPw~quHv_oi zdZ%uqyJY6N)L7Bel_ z5LBp|s+G`=lm~kg3an$UC5F{G@q}*{uAt7Iwj5_n@fadY2_EU_vpzy{=zD`ah zFbcm6aZ9-O0&)Q25#|wAA)da~G4f}{Wm9Hp8e#X_F1z#cpE2(!_3Dz_mT;(1)3kyE(LSog^h=NmP$UPMY72FuTy3#mMY9QKazGeWb)pEY%+>jQZ+a zxAx+^_aK_`7)rC!zk(a~%=bliaq8Oja0b%qCV=s28j_PTR-ps+Fj|1qBBq zBXz}GSGr|A-^L;^RRJZ9vizJ!j%I~a;Uw5u3=S5s#%8Zfcu9eHg&seqNcAm^oGIA1 zaVd%#mPl;Bbp37njaO9b5f3j{kazw41d_Y(rQFs$GXs+UZgM{m$8_4w;f)#H|LJY~ zM{%b*gL<2QSs(n_DrM^ZM6@qozRY){-j<06+XY4yAHKb(-VO*UpdSf0sehd?=t9;n zE-s#nQRbc@{lLF4(qph3{Cl6BZEZy&^-P5B_T8tZcY%@xIy95rXExbFH`q6)C)39k zQ3vd^L)=l#(oD6{RckDF`0gQJ<0vD)l`Gb-AW8=pwC}MVcZ}U1pTmvvbl6=)62SLZX-mPt6(q=LKoUz2tsZcYG3JtJBbtr`q=#kNSi~%yI%><;IrO=%>AU!!Y zL8+q3%RzU7*3)_O;9^}?UJf`8(^|qSUot?&qlGp!a7Fj^7}t9X#vio+Tv~Cuw~h$_ zGhjJ0SQD^0_2Ti+E@)IF*GVz^^6VjIQW#X0gPkf$WKkqY9YLS{{L-55IVy0LR?D0d z!GdQoYMTFkwxe+3q|5mE*0-g8ZcMx`$O-&22Dcad)U*+7to%_{y{AC2VwxuFiqE55 zvRH*CW8_0M47XH^ZIoNW4StSf6ZX6^UV@*f57XZ?Q>k$BO>)#_N_9X&UO-u2u*CMq zuFj{Y1;1(f!KwQ8ORuvy5*M>I>YK{zh8x=%)h6=>d~2FubU5iBZ~D#H$iv|Ye>)$W z`S%;cKKjR^3w!sQ4WrGciXtN<#kCfT{jio>Ic#X*uc#}pbFCa0nZFS_<)$d0VlSj} zEjz5LO8xuTz7yB_^QJ$`W$otaF>i09G*Fm})$r*-gyE|HNPvtYFz-{D!=`6m!RoU# zt87iih*5nrD#2)`7+m>FbG5)l|22n~q!T*dPH1d}v@sY;r=zBQ_8Y5jlzXvxnf^AX z{Em9qZxQoU&;@Sbz|UO181zTHIb*8`9a*y94Xf*GYlBBEfq3}Og*iAs5dFBb;{1ij zZ*O^-(_)NSWf@Yy4OJ^scjhGp8;q76c`zbEO>5_I`N*6$Kp-N}f62mgdyg(PzlY~@A=3swhW@c)n0;DC7;?l>_X%9J|9*_; z&TsU@?2m=Hn{q8o-C1V}XH^GN%mOSjy`-Ft$R_*!7b>A+V&~6xyH$Q*R+XTU6$p?A4w;#Ub6&x zem|?vh$04aNB6<3zJ4*XUtfr!s6A8pf{gU0JD7Hl<$)_>23}Ie@+Jr$-|L0Kx;Kf7 z+uK=dPI*>B|6!mj{=cW$GOHXuY0phWK>^*n1QSfqcrr5=msbX$q1z%1pA`6YcJuGK zRvmp3e@!D-Fl&3|Y6oVTXp_5kTsNF~K>-c|8gtrF-_V`E@X(IyIGknE5*sL^H2i!- z!D`mP4hp%X+n}fIrTgT(_mpxEELk$-t{8Zno>R6&KU;21a_hg>w|USrugjo#pD(vZiNi&it*PToDU3;agl8k{&GUGIINPKHAbf40rM@ zvusZoyJssp0>uR3JYAYrlqB@C1<6%Onp)`^;99?%Yv9^MSzkg>r zg`St5lXId$54KkUIQ8Gsi1qI`UB*~)NxyyD!0yf9aiwVx%>0EZ;-m}Hkf@2{Tu&Cc zXym#bn>g6nL(0oR1pr=H@CdvGl_C0;K+05aC6F=Os-gAM(1~T^8;zW|Ah~UWE{i!W z7V_64{&15I%xP?B@EvR8`}_0}7-Xidu1VtgqJ@)`?B_0zI~|w>N3gv&3vv|}zabsG z&;+5o3_bp_?*D!^bGrIwrK&imzX=m*^+pIBOCa+vBpnHMct7u9y%rhFid=ED^1m>Y zE*1X7`1`egA|{9MgRm(z5)RKZszf=}g|Y5}9xm~={Of?Ka{h91=~RcD^Jdmb98`uK z24N$s2O(VYe07iHajTkzue0{+p0?k=&&gW+M3AVT-|4#R+k5)nVkP!$pO;VgsrWIP zmApxoJw;|3)q6RI`-l4HlN>3P9!}Y!i+$;rNY!o!SEbgRhhOCRu=N1^rD@%u8?blG zzwmBVmk9~F^wII{Y}TbZZ;mq1aG99o^F#$P`fzm9wK#qTxBsQiK*+xG|Fi%Hnp`Tl zVGsx;--Ja#icAIf9QI(&PQ2gO=9&q@uK{ z{3G87{9XG{F{`bo*LqY%`oB05(}bCIfbg~~*nnt6jV_u>w{xtoLF$yxee<1D7A10% z!COfz1Zg^o4d440tgh+0=u+|LeJMvu!me3V`F1$>gqu7oX0qCV9~L{?-LR!hYfdVD<;l7QlO7pP9gFEL%(iyD!mKEZZm~Gcidcy%HvG$^L84|s z;gV(c@G9zP%E(YNn~pQ%=cqhqTJ(pcxi5{Ic*@idWw~=?W%E^)>NBig#Ytx59*^`9 zU*YSzg>KQ6d{~l_??ZU(BuuOkXBK$>T5Ww|!|zq!2^QhBVohzXrRgr49fos6EjS*< zrZ0zv;9^W2a2i%OvGDYJ^%OylltDJI^7qeng)B4P*=EwlNrxhldw)Gk&*>hec!aXJ zUI`52a?2xI5TRk|^EdwHah9~t_P`v*G+FHwPTgisP1N>-n93 z+eC&V2{`V58OFl{PfEqPb>;TqF}Jlyv*J}Osmz!0--qRK9scK3(QO}pRlSZ>J|5#U zExd6)>#=faU1^hN9W+m(mWls!dg9pX+P-wa@0T>VZQvNyxAGO%M!{)6e#mlW|NYU_ zg>l(7sJ6zt@XIXiSQbOU8ipAo$wzqzL)z<&0S;*_+C4_aV^5B zX5~X%hf)wSy~`Tqa%q(aa7d*gGB{Hg`Qv^1CT+OBv3><{_!1V$CFI4P>*^x>iu?tH>|PES7p5`Lb+38CA3NfW zPBC~p@;TN&lASdgm%jZ{OOI8p+&-u0gPX=an87bJTawdxA!h8VNLT9-998xRN$AUp zdE>ln(c<$Oqi$`9>&uIOtV#8^cUO8ka`!6F(BNyDOf3dx)J03C~hy<1kejfP0(s+gZ{wQ-^ zrIyW>H>beWz~HK;7j_rBgMeo$oS68JzDUVZIj2R!HWzJP(gH&ioZlofwsL}Fv=};~ zv)SG&{1GKby<7ZQDCvYtxl`>h6N2~tog6=+<Sb^~ zlsJ5{B1yGk*4Ht5XU8J&h~f!jusW@l2%|Tk*Sd7K|L5*zR?u&3Xh#r!$6CUuWzXIv zpni8;Gr&~=Xk388nJp&&UXh<5<}1g)f}XX9Q7fPJj&?7()!+NG13 zqbtMxnBkqnD3TQzL)x&=D|r>*?kS$v`FyF0RAIfDYb=|uXHWQsuV8Y2X{^%RWeU|SX<$LwWzQyTy0wBCc3a_8e7l|C^S9~}>B$peUtMA0VB492%%u?KlcwHJ z$^V!9=PD(6LSC_*1v>=2z(imfs{lbg^IhB(dRSouOko7HtGbmhEXf?3T_s&upEHQ^ zniqbMeHEvC{KWds@g?|w54$UroiagvIpU;C5vIf>bXNC^d^$)e?!5Fit28q2ucZtixkwCwEqT_B+#H zS$coHlNpbkigS&rQ7R?=Ewzp!)}0tOKK91(Ngk8a+-;6LgE#xtucO(IoonXpv2hA( zG6w21F1Fm9jBSA{tKIDi7frr&73F8fNK(G-62nSrRJiGB^5rz*5hEMd>)z|-t{v>V zO)IGP;|^lplWLgiLg)YALRANHbYuD#C1ZZTl8h&X31jO~>l?I7SCnmB?r%q9bW_ts z#(Jw{L)y2N9MD@=Y?Cy@YQjXL9tp%Y&yL@GMA2Y{$9+bV`&_NRIda*56r4Iqcc-usB&dia=;T1oC zL;i2GE97p!3fkP_%T=A>Mh5+Ew!4+@4)EO zzfb$kyds^>TUzTO+B#DiM!SIn4aJq-d^7$juu|oVlQ;#K z;d|T{?pxQpKx1@%(l>|I%}kR<;^iga+>lYyth+I?TnnE!UWH)Yu*pmMfPtqpSA!Bp zvWb|E#%viMC(C5OGq{u4jGL^8fq-+U#N$cS-9>EM8fHuQE%OuQg3tCcnvsuf^0{`X z^S2=ThXIMP{E&X-$3H>yd;u4P3p2y}i?2xKW1V?>Z*NJrwgB)AMgBW9AV*T0ScnX_ zUH8^B@#K1rm_7eng67I|LY~ucjz7MANzpu53paea%fe2}Q1esXQy!W|}f9GyfN}q(n{NS6u z49F5*o}Xl(<~_u)Jo^*o3_5*q{w-CPf6hcgD~0rz=`;DN()TiWjJE6U7^FCO+(jy#+y{%BPn08Qc z*hbW{MM0*gceJv~pE?jlYtgpZ(~hl%Bbz&GO;~$h!#p{n^$;rV*-B9`BKEE}g?mXcg z6Q755ssxkt`!o@}=Cj}g=X>kO+Vn2%?{UNJLswVBOED=S33qpR#0|K!n|9kA1hOSV zUlejkDJoN=kN2DPCHX?CNWKg^Eay(<&pDKL3FW}>o&IHy&|^A6@LoS7Q`rO@JfPgD zki}VgO*}nQ>#fGG^(lB>Qu17agN3D3ytu_2eNPn1hx?tza;EOx44vk zgO@iBoi=(Tj$;h=z2cv%b!W$|P21p(V6eNIgF*gL12e?wN zNijf;=@%t}C)IV}Uf0m@!o99UAxV;#R9fW=Nh2E$Sowq-Hak0}AUo#)MmTm{AvX_q z4}lCRsKdjUgxboPPaya$+nXAv_V$n4f;CHibifs2w%jlN z=|mZcr1($pIG}u^_h^di7MoT$Ik6DjS16Oca4<0W%Nch_4bQIU4P6k~&_vP*UKUO9 z>7Ed`tQP1yI&Y{3%g&G0_9z#qgys2OkZNh}-fmU@D4V;%c+MwMec9S^wtEf@`k44l zP63ZzLpR5cfqjem9k!kwE~?LuU+f$6uR`)!$rB`*Z1;`_vGk&FhbxG57ikQQ=+YuZ zSi5!g3yPK2Z(xX3S&DX_3T{Ymb##}>HGxLJRHVyTTXjN|vgWAh=4(DvlYq@?wf;%k z)87jFh^9LC2J5Rw z0eS%#t1W5Q5=Rf*)|J(Y5HJ-D`T@be`-R}@$rodXo3IK9C={#aPwpq=$4XKGzMqy3 zmL~>+NfM264u8W@edB+7x0>5iGm9hsy0x}FVXz^!*gTs&>rtjTvGbckkGwuO?8|ZkurUkiG-}g5{C2U4ol}oN zStj&r^(Xu3w_gy5--U?}#x3y-KV5s7&7Z(c^q+8+sgr%LDv9ieYtClZ6&TbM9-Z&y zot&V7gG-UmwJk(Wk5v>@WOw-BpgcA5gH`Fd8Zs;UgB)1EmUQqAP8ePV_nSKUqVFf; zKb*>YfkYZitMsXzE)nzZSwHH%NA*3NDQhPsGFXk3yA0g1?MQA5=j8Y%d8m{!8+5fs z-~J3QpO{td4?Fwi>>Q$jmix8&^8uGbE zsy^++s)Sv};$&43; za1e42uM|YTbHe?8lCth+&@5>T4-yEg5+JM|FQ0vNm(V%wE%K>$ZGh;el{pd;dlL4Zsv@wZGFLqJ(t*`h~yY+&mZVIG{*5Q44q2GBz@TR$hMH8)xE9 zMv)@_B5z!VlUV38BlQ0R3H>7At-iH}>3co{NIOzOwzP%@_5#obVUy)`1!Q$gr)jf} z%#PA1udVL6EMXX~{I6;(NL63;uVbGL-%-SE+Js#mUUxkiA^L&yrE%wK%>wsCUSSXVh8k@_M7| zo(JwY!QkI~A&-xMRD8j;oXbj{MiDU`0W}a^-m?|y&F_O zkBz)+s6i6L6AoJJ*PxJeTs_l-;3V(14b2AbZTftIymoO-+r%}}UA_F-mzG+_Y`?zn zs;X{b1hYjY{C=Y18yI-VM_+K-yFA#v|EPR02f*1j!!sQ1x&;we|a9={)kh4I5 zzRdoi&CI8c!mgjJ%{PslKAhcu=ZzWuF(emJ2T0eIRm#VtE{Uof%pdshPVyn%wb7 z2ZD)}ltkkGfZXPh$J7B_`KgIdgJ?yDh38_F!gFgCCaXaj3z|~&nyo8zOu9i!O=o^o zgaG!F)Nbpd@TxR9eWPv?U#z@wZ0=Lq|HK*v*8M4K&VRu7QlpmK!qUdqy(LDdOo`#~ zOOAsiSiiWD_7Lkxqx5x#LI9jhy8(%Fp|?0QgWbbkQpEN)VgD#ZK-V()_xv^HxpJ^L zkmFfeHhZ5_OE3a@3L62UXh61}cxIiSpXblTLAPX+Bmu~sHCphm0mVWC zOF+O=e(?`-|LXU@Gyw8|B^7sn17jA}Y5-aV-q8rT&}7rQl;Ikkp|6?zRB&us9}gy@ z^vZRS$#^cpc7}^aiIszz6wA7He_4c-gd$<)k!v>#2)RTORIyM-AP#39w!~MMvisQ| zrY_bJm~GLi%u*MzD;RS>M``kkE?XG8r@?~cxnI8sf6<>_FmSvKKcIi`soa`4d_%N0 z=EoIx2(Gxs^g!Jw8;lZE=T?KrDVOq5Y~k@?$x_(L!SlS>H7i$#E5We-8#b;JGF};B z3cB^TX6aOVdUB|5kZAc!4roY;O0|7aBDNlyQvS?tj&@=5o?MegQoWC6_G`YQx=h} z+n-(l%1CO=1`n~9*qAmg@wx4y1zpeui8JAoc;hRV;u!pMXo5=+x}N{2tx>5dz}+PY zr-JLZRy=A+ojmwixs-^E>_mae&cvk@SS<=oj=7?@T>?eue_#cx>(K`U%^;srvnzra zy$wy+umBlYGZM5(SWSapi-hzdRI{vKs1~yNlvH)}v)Mhd#nkkMcVBr_b4JikD=9lm zXttun70XbsU2)K1{mb9#lRuC$62xjIqs`^X$3C8>;n7x0<@%Zial>kAKC<-i;Q0w6 z4@6#{+z@g;I|Hvd6%j=l05{1to##c5Gi zc3cHKcdpRs=hV=6N;!s-1=_4(O8MmN`Z>ZZ-ugX`3C=iIK1}y+@9%4KJedC~Xn-_F z6Bv32gH>rOjxxAXfDcNdL8p0flKQ1#31+qo;L{SD)jE=O&#@-G_=KLVX~F6CSnIPh z<|LT$(Do?ou1HL47=kI>IsD|4KOXlAi%N2&HeW-%MUwDHffbe2wLp!yanjnDP})d* z!Vx1LfJikE$l$;LGT^$iMt|LGI&uR^_dggAz<30%GY`QmX~X9A3%UFGTof^%cn>mAhF$6yUz&%e6rc?Gj*z%tDetyLD3P5D>jsKnO)>i=Z z!3m3S^wF~zLL>_e#5p|llXCd9zCe{lKCQK$5c78UW;CvauUe~CXsTo@1Lli%7%SDs z#v%A7*Za39oCMgNB|%ooDR>X&IOH4g!&DQ$b_CfUy0&=l|Nb`ztbH2m7djoxV=zCD zsiE-}Hz~a&nB|_?KVOMeEJ+eUj3y5fJI6?k$~LutZeIsKj!`N}LnAuax0Aw3O|4QS z53lk`S3;blP_jRdG7CmqI7$25>C31&Mw0^d`q7BXqC?JTZ2WLQNTPE}qfex(1zuhg zM;=3(Te>fq&cLQSinU~7Q9Lym^ecFUlrn@L^|P*`bJDSCuxK|i46U66G0|RJl*24G ze$5Pp%n9yaeB9@!*JswMHjOB;v3GEIg&O8P*Sb1;)EOoo3>r$toJDlE-*@~XAA977 zPWw*2d|UB39>qCLXupxThq8!ZMoLWSy9go&z99XR-i1Db7%`U7{bEv==~J3YWlcI3r&dKa&5J4B<4Nl>Wp97qERE1 za^e@W-nd*~MN9Udq)Fz1oaN_izu`6gWZN+|)KS1u4Gi>K76epBzct<|k&r z=I&1?a&`o#vu=WfDdJgmxwUpj{@>pkb zuRFd?8wT{AAo=@ohzmz_0brve0vq#sECU0{<&su^e0~#i=Fk#g;_m)KOK4y-2PzhX z1DJs4{{UvL)hM(0S;_1;`P9sRK7L7-*oi`<6nRp(l7@O6@;a(2KXY8xuQrJr`Yw^l zk-7%1O%1)eRFY_Zd<~7Ui^HY&y*zj;Fv>pfH&1{jB$gv65`rbR3e15hF3s!}f0f(Zgik`_OFyWA{+I*;< zy%`FrU(Ff=?0gFf@x40i+ygW+D2(DMM1=o@)l7@MN`U%pFbW)m^L?+Xa@`(CH1xw* zJk@)r(z^Bu){JY?z?W|CeoEnw_J8m?)-gBS9&q(LV{b#Dc<7CYXxzIMlHt4VQDb^M z$LG%PutWUhZ1i^CWIo>dezW6NN*XGIbm~NigM)(`(`P9B1;j5K82U}v+F7YO!=yE* z@1_Qil`NPO${WWNtj+<5i+H|R(~uY`H&7)4L%;R&Wn2lLtk()asuJp2+`TBB)L6CU z!Ottm5jJYs=E)SEEN>-i{&GKDZeY*S()C{Sj6KGSyu`*ez%0hTESerURvIoguJ>AG zqI>h>NVWbO>ZZ@|sE& zQ9!S#O!lUs<>nzPJa~l&kg7K*q~Ru%iKeA)Tb9^ScqKB7^V?l;NRyGF_NQFL(G+{{ zwk>?{s+4-Y3UQ->`8`8zIni3Vm(0YQ`x z^PpQaAn2^DY9w{1Eg@;V=G26e|@>g?ON_gD}6@Sj$LGWTUD)_a}& zL;n4GKuF~0?-yR=f4lPM4jMNI9>?=`eka6!U06hFLE1-iw})~DUK<6p&^aFe>{#Iq zyyuNB0GJaH2FNCTVj2eg{C%JZP+WqRAtM8*f%4DhMJXq6et6ocl|Ej5-Le#kP=e^M zPCwMDQP$UZx7OjWZ40DnzWqkUC1F`na6ZQ}u2#)+>N(A{8a`qK=|8fwkKZ$TS9pd7I_vjC7FBfI zUSw%2sDt*IKW0Qd(eegL8c5aVLLk$F*|k zh(rMwzGivg!=>oZ{fQ$i24SCD`^hA{>tc^et zPfCp7eLe|>q>2>{e%A@c3KkE){hK9HARgD*85i{hJ^=y5|Bf9@Jh$!&HP5=8 zavfBwGdz>%i#l}?=tJ4(MFrsafI0iTJvWH>pg_>j(9zK$I^+ca>wn}$gx?VBNI;7w zZRUrq!kqSxe{^t&ySnlK;;^+l&n#z>@GhW?0>b39;Xcf9;aGo*58Kavg9RnmRvmdg z9TyTKkHJw4__y_SIa<Ng#c1 z^}}9JZ!M0D-xB7<&)wZ!pf~AZ1-hzRe_@b+-e+*5!7ELtXJ?aQ;Q|+5;3#PTX3JoG z>7K1CQ8zJ?;f*FDR&x0tL{+{BAziOvQNN67q6VNZ;rlIT2R#WXmEPS87aN0&C5ylO4*on$nBZT@f=Q^xKm830+PT%K0IKi2fT4LbD8 zqrKKO_e-JNDD{V{&bq`c5-meoBVV)2kKSx?D-gfas3gtO*N2>X52j%1SEyP_>4OcI zfChqxftAS)F-m>NY4Yp!g449m(hp3P%xcxY!VRJB^YhvXIBtJ2XHGv*Mz+qPbU1SB z=^GgBs`{pUZ&Q+XbYX)GEpB3)1ksHM=PDaxqJ=xpWGQLJ$eHJb&_t{M8OsLiEWUhA zOVNyvbKewoSOhh*%X|cj?XM#X*Nm9-Lp)kDo8`tBAidQ$GFtYC)h{b={^Hj+6q22!$}_X9qi0Lf zv9Di%Vx)}|rq8UzOJkOK{Pq^P>KqUva5e7wHBeN~U`Ec`S0F$Hgt86m8) zjsW$=PeYbsRh#wts^UgQWp^C|11Xg+t3ItcJbsDF|;Mw0XDX^zya}l>!Mbja*yM1htwQ5KjBmj$2{Q#4}5mb+yhd z`|k!l$+Vu<*Q0~AFg;Jx(A$x`2Q~6Ln3eMi%LIAZho-bL1&hTlhRsR*NzB$;h{&zL zeNWKc@a@Br$RkhM`brF4u6Kwe)g&FVm`o>7lL}r8P_e0Z+_-+!Q%cny^IkU?AOFz;IbZlF`%_(h!KxNr|b+!M{aIJoREhN zipSS<%Gv8)fqP!pf>2QMjjuf}1!cj`I`WVx{6D`BI8^iB6IeS~+N&^nV1Q(E(Gy8i zQ~ku2vSLXBuQPq?8<_)reaMqh39iT9rBlVzHl;ded3iqYGOSS>D9bXn z_{G}SAL#v5_!P~znXbY=LWAtrGl8~3*X#yTY_ktkALVcT!Y@&g&~$w1E)Cu}9}|eX zx@mU>f*@)bcxRCt_}3=a@01VBDte;h>_4iZ!=C>EDkzPI(?GyK?Hzs`V+hhRe&(CJ zEuIf7<3YIwxD1e)H8e7Ea@yW(?9P;_F}-{DI@&bv1JJ007pPDs;W~G`2F0sEm&~~a zjO0+?2=!L$oqI@xV||1%=*DJ>|$ z=wZBLWc;b?se29f{{2OD$MyK#iO3V0$W@F;6y+6TcAPZ4h6YUj_i5OQm zqzlC=H47)L0n0KBTfJ!)zPj4o3p|{8tF8fh@qQ>Y11w4Q|B1uVu0`VLIlmlBiQI-z z>UXZJcx!RK65JjEbJ+8Pd|-01aS3BoVDx)@zib1f5}@W7>AbEEdN_ii#-*_s?OFxy zT6u3q(cNC8b&OCvom0521>Bq;ybsD$NMn9p0~RQ-+;_7a6UW~wLs>DnwH1n{^!4>E zZ7j%?mfC#ha(WLLz4F>x6ujEa2odehm6#3mOoZBf=EQTpKe}3JGt$1*0_it0@Cz%gZW|Z|r{;TJt)oZb{@J6wNm+)Z@s#jKD^N4{u+}Vq zF*I5(l_Nj8mfEdauU+O^QDgw{GPFmb6vgPzW;v?ilngHaM-zLE6Y*~1O5dRoa(_M4Q>kypt; zx3N*>FyhW@2Z+W$Nr|v_RFO_={9NnFx2hR)L2^1cIBGLGBl~tH>wsSj zcsK!JF<@`ejoAEd(m%}(MAZKq=d>J7TZ`pn=60Bu)2w-nQH7*5vd85jFW097VH}xbfl6%Ar^Uq~h_hJ&Vos@i7w+&4Dq3rIS-ect1wK z1NQbJfF=fZ>UFs$z*w=YAMMHWf9et;D0CD7?m18#PK=Bjv{1!{^(`fqovWlaGH*EF zU}CE`#AzM;^fb)qP;AdP>!@|@cwD54kO?Kt$O;@@@;hDTdpxXujD8<@k=*70CRs1{ z#@#Nq2Za(IhP2wdTUW1`bNw#{R~wD~78`Be-(C8j#~5w@IhgiquV6A}BBp6bI)14F z^u?a7QUgb#)10{?K~bsJGN~to(pf2KyO6Ve&f0;;vos!@it6P6abbeN^3|JcAmTHu zcKb6yzayWL#%v(r?B4%kP(CH4@};2vF0bQ_URFB5=$wRs6sS?cxMQ<;LDS;NEd|xz z?u1Gq3|)1`MLK|Tp1#zbMrS=`inut8{U&#j+zkw`>bXx?|3D5e0Kh=II?WvYG&g^@ zoiAhP+(x&+CUtv5RL_yP1{Zkwr3?EWrs=+MAJY6l<<9E0rVkNA_meALvEKBYKX19e zl_{L}+IFcy5*ndP^_lS#DY2=;HrngHlCmur>K(xibB(&XbNc)ZFP)ED#0s<9 zomzqmCJcOv7$}-!`$HmyDk)N^#^D#8R%k{SS&c`SFpId02UOsUT5Z`vt$r!EO4GG` z*SXc&{sb>co77M}c)(5Z*$5-}?Jd~m<|~+MI0j1O39V5C{^S`j$X8NY3TBHyL1IEE zRBLK({wXCTMY(@v5R4ZU8CI*&<6=qGYALjnXif)+5lPbt)T}smypotZW@PiLcLvkf zKIeS|lbn@ltbi)5ZEOsmJ^)_^q|{)>0KC%$^gzhs3Lyn|?H>|ACcw?Qv3fVfsf07l ziL`kB7(uZUfZ3J>N{pJ8MtQ27?lSspUSI#Ysj^m=%OayW4`zdwnW&pq6%`N_K&h{w zpwM;!0mZWz7O$uM1ghtU@F+%}`n0bTmET<%0dQSjEj~VW1jNLErt!oRb$o*W?cQ{x z9A=M@miTTtG>=EOpdT+;BHCuSH!y=7^f+tfd`lhBffK#d<617ugxzb>iTh2KN2&y&Uqs&mE|T-M zHzFu@!w3wG0|Rq8tj2yHbvzz{Kz56<{IEhtjDjOy^tOyRX|#V=Gej{zq@2D;$#%mxAebQ7Ctm|99kN=Q)Na#N7jFv8b zd(8-|HumZZZ}WCJpkf?F^N9!_ZavAoLIjEge&51DT8)q_62a@dO*IN3fKs9Y?ewL?qxzOaCp6C4HjKqm_Q%5AZ8ejCi-=)Xt65SScwLQO+i4 zu4R7LetuUNQbXnD^@*@!JDw@Eo4r2EtLx$qxEYm|c&6=4hSlgwY4l&Rv-#QJ#KS7L zrMf4Rfg4gMi5s)eL;aT_lG^~kA{zR}-$)Uy;s|1t-0Xe|bGQh>WeYO0Z_-$2-r1Yt zO(U%Qp<1xY$QDp4c72uSRg(bhUa3xuZBKty-6?OkYOXiusDA6A$3^|;j+{0;yQe*` z!``6Iu;B`!PaAHNYoA++g1JHT^}%u7%7R$oNCqtbfYJ!qOzU4EBY+v*fx3~yLk1ws)n<}zU9og^t@CmyotC3Y1me{CmX>IcWO6RS3}Sjo z6qua>3i#6L1-B1i3cJ4_5k!&NS~f6I2yScV`lnXLpJ3hxl!InwW+3U|pdrFOVaO$c z5o-yz2wqMvXT5n=&qfnBH=Kx`$(J|4<0LUL(XiFA)c@4+c<);?PDpp)X+o9)u9pob zv22q2IuN@=J%}6PhibhX4uSHQN%@k`K);H7@ zdq>CTXJ2&|r0fE@yU@yetux!Xk^h0dAmBtwSuyM`7`V)B6;gX`lVgza|I3;GZl=g> zs0gw<(>BFzC(I%yKaK^&aDKIvHwTYSw>~mwOv~g1d#>-=@#h*>AL9d zM!LIOy1QGtyIbj$mJaFe&Trk%H{Kuk1CcS1z1KQp&SR2Bb9evuVF2DgcD=g|tggZ6 z*SqM;KzdK#{~Dd`;ZNS%s@{RRj}5w;osTD*VAa35>wU6&m&f-&DwDzS_Lm9Yqq_Hf zvQMh+>$UDK7+Aa9?`OZ5fl_;)M^e#;U9Ln$y|WY2Q9!apW-LNFZ;0zhq%cgTzBb?M z*!(#Z@;Mv=oXI0|iV1V<9PaULqSbA8ve~a_Fxvg~-v)O-{`3wPl^H+pbm8H*&1UFY z`h7rcL%X1r)gYYKSh{IHh?jYXVlD-V<`W1O=b+wb>X2fo}>fT1@buT4 z*7xPbkgUhe*Km(abk7Y@p9n*?zOqynM0p`qvSqhVx|IC0W`1LT77wVzD?&DHF~%6G z9eS(?F62HT0N+zeTADs{yl_TG_Ru`G@vvb@H4Fh4n|i;|q8g}ACzV12yJ@s^Nxr)< zvoS5ALuZ!W6*jZCO3AE=vbFu*c`(9hpk;{`?<6A;f14}Mx9rNcnTM7>^ao{x4bXe5-OBUNI!D0Hn$>l+c zZY{q=Bqhb|41agA6~EKM!FJhtXeOPyGK0@2%ejrmv9E|LHkmBcykSuidvWaYtQTE2 zW_%a;io7x_fN#hWV8qgUHqU>SQUxOu0_WV-GTaItZfPkHDFNwwV&bR&uJDtVUGRPf z^ynF?7fzanLC_>Ygt9(gW01k^7H2RJbuFBb z-W6S$XZ-&amm2r%G^?1vvDSHgK+c4SuB>4CeYatj_GQH9mHNW!t*R;X5PJW=aH3F( zA*r-7$ug}qF*!=rp`FHf26iwj`djIsM;rOmRopOqulD0_EF|26)y zz?Y{+b1`P)efekkNmIB}ZYwZ+B!T6FvO;k>lh6GH`O8N7ZV5JEQ836t-7G`Cwiozr$)v*RX46B_nOIPZAR1#}JD*wi8@>mZ{ zM}iveD0Y*Zia#@z=F3fyb>3aEyZyW1l$IyP#vedU`&nTo=6C;EcdNq~m$BcngT7iY zK77$x=Ecrq!m$-q;8^d^%$X8vYa5VA1lKzMF5)ELw=#;(5dz1F!*5K^zaxTG24kG# z&r?Uur-LUX+sMA%>gkRf`|p;7tFEoJ6me)rDt;7}=+|&a*kH&5*T!q->*H$jb_1x# zbaS*yYLsb^ue@^^x@+*g@BYHzsLkt$Rc!jk=9cZ=H#JpWcFc`Wo33^h{Oe%Aqeo8m zWDB0^c* zcd5AnbBN8;`~~65PSRi*rUo@x`4aRsl6{YX#;~npWz)LqMY`ecKn;mm%<_C$QnQ-Y zZeo+p?pkF>(DT084Em-Eq6P#);_aEizSH`&`g$Jh`8ajRp&lrsK_d25sk+5=o5>o5 zXc&z(M{=OXtbXZ;wJgCrQ741sgQHM3Wr0GK(mv;(?|RP0mT}|w9%#f?K6 zUw35ieq)aj86udw|GICmaBQRNJg$xT?4#-f@|z6}ai($pZKY-lDFC9UiMR=q|CUI0 zfZnvVOGw~t*BJ-vC0U<_uYDi>9>oofR~v?ffz%lHdFQwty|6rY_4jPTR6YG0h{md! za~b-PN|E?h=dY{fFF}{Duv0wtIPb8Fq>SB=>>A{eO01k)g~hd~*zl8>I%usj}>*|4v7J7sBU@ z>X6*MtVDZN6>Fl@M^#&A3D(wJ@wOG>*lOG7H{$Yc+sn#3SXlBH?-s-+uMFsPbp_(c z8^c+-p}nsT(gWmsRXW1W$tPESNO1=KG__PVk4SWg*tW1dN-A;5$V!r5+?wBbdZ&D~ z5{{+o8C&IjT?Qh*qrI<4qX>8;=#rP3#=-ee;JY*n=AUa%JM6w$1QU|<9m0468C)(= zK2HNaTcBVZ*c6qx z-p(bdVt@Xeqh|9@6l(3|Tr;2f^TrBQT52zoAX*ZH$SffpztZ|h9~)-`w{2dV5Q3J1 zJygxWHI5tt)+Ll z8%;uxytu9WbT*ZcTHoVsLzLvw$;IDoWf5~WJu*Eq8ni;+oI?&@!5-(9*2bYN)2PT5 zrbIxLm6Rk=5f)a= z(^wEXM>lO+K)S7QL|=e+)4!l}(2LvrDCy7G*4QCnZJrU^7V)ogx(^dd>ATdpoTJr& zb2@9Apq*2^bXC;-=+ishy5g^{*{S~`3A0Sf<@mAp`}k@L(RL9^6XAbH4HRnTEm-H8 z5&Kc1jgVACh5xl?${Hs9$`mOQzCVKywTZ9+CxDVd6JgiT*jF+zK6O;DUU5RCMm04? zq&29i)ovg9>i7UtD0*6ne(sI3!C6bTDQXsS{B8*Ghoi>!!vn!)9ew-j{U6tHKjB-c4SsSl-T4bO7M;`V@~^2%|4WkKSGFu@plo)6oAd-XjISqV^$OryL(w?MZ$%<1!IMsOO+Fpd{yei z>Dc{BDJ_%3?@9;n%Ph7;2254V9j(%zM$roNW3?3eBcV&L-?vDmSaxbE|;F5)uR!_eA) zrTe<1?gJX2$AWI3z~hMVzYj2=xCga&p3wNGAmabp@FDuw3;NT?r<>iQ%%SZ^@^o(% z5Mt3%MxB7mh8i=Y95p752M6E7kiYMWE$(leCtk1$%>8<>B%$>p4S&CrB||V_z|S^; zcGnq9^L5aVzh=^~WvLg-NvX%szyMu5E*5=Z)q|~I%30{AzuDe=lw`s7S>_xa0~04w znjdm`f`(&;(H}gY)3kRzH5aQT?CDw>odO-30Q9CVxj8e1H`ME`xv$XTS9}vNOTEn` z-6jd}k>ZgP*FxPyy)1~`3Yiie5J$yF0JsXE%sq5#cRyib4ws}%`yFXvp*DozU5@f5 zsCdGZE5z>yCFF9Y{QtB7aIONs3bqk(R^T9W0`Fj5J)DB$v&OHsJaj7vqLPEhpYB** zg2v4|0H~LZv0eky+$-zEaoywstgfu5H^GqZaYsT^z3@K{v;x0 zN}@k%lNG=w8g}WjN$1k6Cr2(>*}keF?QP>~Z+*bj(=hO|cz22Z@pOMNQFiR|Vub#3 z2%M}h`kkk4^$9;Zu4#K0XwpE?n^G>^kvlG}(NyC1w%UP^R1qhGe)v4toxc`bxPuE> zY%0SNwtv-fm8vFAID3E4eKo{N7E6bPh!SExS0#)P<|ws`@p?=Q|8@3!a?Jvd?;z?b zZdfh@quWyszRlox60()wyA#?O*EX5o9eAn_NtIEX-_v$-7FvnmGDjmEo0#^Nl+)VeAOymFGF%oiy@4LgF-uzA5~57NNQ8@+KG~G(@<=x8QAM=bOli6 zS62+$76qBnd&QKv2>$$KGr@HKFcB*iW|2-V$I{K9@8yxKmQdpuX+5{I+$V{*UvK8b zDJ3nfC;GNFcghJ5O$CZQBV`sW zJaR1fuz@S?nE}&A6kNzqhG_4pxjt=Rw`wQb=Y>&PkRc|Tmr0)|W`q5W(E39}#MXy5 zWS{4bb1gXW2O#lA_9fh!9!5J9qPH-%wYjz0Ry8xnohFP^|J2-UIAoGl>1pybzK*7E z1Zb~+*{wWZF!^(o?(-q{2O+eUx(;~^0vRL+U83HZnoJob;G3hi5S*5vu<+Z1Yl_)M z|Ke1#ciFR<+UD1s`-WlpC6kCW?P_FaJ*!ZmPMu9)*#N;SV0Pu79C!K%wkY5YYYw=2=LV5S zfuPPg0n#F67|>^s#dnOBn56-SR5wHKtrs9+eeZgyc_>|ZK0HJZBG$tuNULvA{54x! zE=0|?_#fI_dTh(vJ(A|wZyPc|WEl3{o`~P} zHKGj7wc|(dtGx8A)NXx~DxRNy87l=SU~K^_$78y};#-49WMxY>m;KSNnNe710R-sr zby8!5Ih%b_Qc+V*Z5%quDisk~f6!rwor@rQ_jjG)N%C%wPexR%AZE)BD`m1a3So_v)GTX8UnKgCijMB=r4T!8 zS@}!hWqqwY23O$g%8#X>KAnc%$~D187N#^QCzDK1lJJZPwXdggCo|P`@DKQ*CDn&@ z4{KfG&$CAQr%8{J_qwaZmq)0Woj2iP4;6R9e^M~2EbU3czRprPo|QD<_I?PoZVTfe`gwe-1iU>UQwGKyfAer}CNelEtvT{cnad%t zqWg7v;{&J(AJvnFw(Y^!f!WvlN~&kJ@J?DwT|8hj0~r1{AR~k_%#;P^opglvCn3JC zIh63g4X#BOoJ;vmZw4&QfmW?4x8#r$?DW->P$70_+I~d8YH2VadPYWp@n2*K+}BQ& z6YY1s388}<2v@QU_rGKYRgeh?AWS#z+j%=~zV!;w zdyk~wwd_bEhQnDQfqENR3- z4WUXG4TElt)W*4{*bjA668~=J9EGn*1V`#f9ZDJIYB##Q4fqdx($Q8+C`Ku zXUUR_GE4$HNK03{NX-f)#s*Qu&#tF3f0_T9)Lh>xO;$F;6MNl}sWWw0_$Ptbm#l9_ z6JJVu+vjN)Y#v&f_*-IkkPKneGHb;-Ip6x{iqy#o zYnzyU=;S1n;M3|3SI_x{DN(OW*Le7}Lvz`jtLF{&cBJ;8ypNNEwp(m2f z`{&>FhpjZHmJ`-ZYAc$giPhL+QPrC>au3dBaUqjogHqS4foVAo_e(apUhXfyZq=So z*Ya;J65nMH=rG)Q?sq*;bz0qo^gpzWxEfGYqLG5+^qhYfhbiHC!i~`xa-pdF$!A;y zX@#3;L<#sZ+zu1>a#$V}p0^}nBvRY|=6eW4=-B&rA{j-tnZoRCwNy%ZLr13x=kJ3( zS?BZD1mQ?US-D`+^h(7|DG^LSfjXwe3;C4`MiL7P3oPiqTUdkx(ju@M zC2b2p2KV;%h}7m-tiJm$BG3E(oYPe)n*~=K=-OyMKO0J7K>o{FZUwVbL}BTixyrXq z39b-%umNTM_DviG`rTZtcOOJIJkRE{^OsYVU)TQY0!z_BU<7g|rh)mQ64?-mSZO&I z`UzhirT7~y&9|NFOI166lp(2{w{bLe%?z>)Dn+$U@A%%2F`WCQoO+!;YIWKokq}BV z+dlm$T!BQA<)&lKI4)5R;l<_NUd8yq$+He^3nyVl1J6UKR&q#)VC9cZH6;mhcmp0T z9$h7~8C=uS(WecMX{F{4EzLQnRnN;Yucg-;o7bDpfx9CUz7eqBSnxQxoRXwJ2Oo&u zFaIq`u)6O0+D`a*c{^=hMNy@bLP(-j*Id(c@qNqv2uYl^o&vfpY;=F_1emH+9ZXCh zM$s5jCIY%Y8~AB@>gN|1cOq4F^}IZ=%x=C03{5ZVNS07A#SEeZzNJpqHE@4{%ccD1 zN^DLdG$ogsnjwrr?)Vi%<)&t*eRq-lRl|i{7)U8TW78Vimo+xi+o9@(Y`~$iN*G3_ z2g~^S63@N|hm%{5+MtC&EEqHBC_e@cgPD7g0Az0oe>?=mUMlK(ht%@_p8i_Hbk403!`+}+!N(&qb>K-wBR zdNc!FR%YQ(C9gh9`4=Z53RCR!lt--`epIrke}w*2%Ltoz97ls|#MogOx66ZD>GAt9 zneYI8TTjoZ_>ZE)M7_>v%Iq` z(k+D5@tX`b#TnD;eSSAM>G?mDjoh{efj{f%t>c<2v>}<})16cNW9D$V{Ch9~thlsR zsDCXJwEPAU-{dq6;zAt5Sf?6dNM-5qTFWW42CYy?mm*9E2xg#c|<<%+`JdG91vHkUO=?oY?=H_8V+1_cu zq;q*SEqi%XH-2#mPT}^m?vJocOJ2XHyw_K3@=`L7D-e#4j)3qLn1{d)AqwvsQ+3qw zp_^D7ix`VxojO1d1A&1`Szu`?xX-la3UsQFHMAdQiNTyPHTCo2@y*XTq3L?xV+&x} zc6U#+ZfYC9poD`0lSqJr0x-0Teq0-bavPg3>0_(RUmc5n9K!ydpl}+D$>wdbe4qG3 zbzC>^?|JcGoS6eBKR6PBf5+RA>4H%_wW$~&$z6uLn2X@P#;&o+h4LF?>Ovk1On8*a z_whN?c{%~I_4~I1>*&Nn_6f#$GEO$YE*-)RTQtkBYKQ`fD-|YA&iQv|nS97$EjDM3 zx-4}-RoXv%Z4qKE+p{SHI*UZ}V_&MNpmvWPlcM7@}WVP3f>Ew+>(He|q zbq*}>*C>!-X00D+@(F~Icoqp2sZgk5=N&qK7B{~`oqxMLPn)y%{(1`Oe9XHf&2KSk)FQ?^Enz%&oh%~2gYwbyEm=e=ot+Fp&I0_!(M&VefKS4ii@)3}5A`MmFz zNR7r$T1RlKG*aXC^k*4a0=-e3-xp|S=PhW%6T8A)o2 z*B|NZFo>x;&U1&+;?=|TTSSaZ!l%c1BCFKfLAG#x;}ElnY;9*v--S%7*i=X!igpA? z8;dC2<6f5sFO2~VQM!zSfk!(3A5sZ;#`PfH+G!Dj@fyX&jhogqprxa$vaZ&o`4|>ux1jkgl9_s zNDoQ+pK8Ns`-+C(toB4(C+%eFB@5xkaf2_ilV}EMcFDNZHcTd%9Bd8~+lCdb{%M@W z`ygg0RS6AJhk~Q+nAao=xFa)_b)8Lt35;_2{(7qOc7%JJNK5o)6xfnGrfzI?MY89^ zTsCOIsJSG0M(DkI0VI+vs<&eJ_yZ^yBBR`uR1;Faq8sTQn0Ok-FRst~(6w4?Mpeqf z(rVl<->d~U4(QuQ1PGpT%pfMAni7C{5T8u<{r{q6@N?Kt>NB%3I&o7S+;hx)JO<;s7mJ8lG4B zJSfi?7#V#JTaS*9iNzJFkpHlNe}cE?O+!a#e|@0r34)8r5PJBPl|kz>Jq?`d+_u&r zY_Vr=p<27$HMY*gW`Tyc_{U)ku@EmOSo&D^=-Jovli`B&tjf=WwZat(#9ssVhF=tp z3;JMITWkY~Fev9roBjNZDeSsq63dbq%E`uL-i<<4Vi8f{=wMG$+5Bt74XK67ku4%t zT-EwFA38mFufFQK%dJ5YY@R0E`Ed+HdZYL>M^Z46L0o_ZEoyi=VcRKi-KI z8^>wNnrBjL8qo-??H-*MUl0`>MnjFMe3X}Eio0^Bvlp#{E;kpyM^9yia>g9uf$EN#2$TCN_z9fyo3^9LUnWp!Ik&lawguagIx!FPN z2S=P`TvKJaexbu&Q0T6sDaa-Z=o2FjClPm*AKiFj*%|vQr_8=5jJo!Ees~uaYJSq> z?(=*>mF;tL^j30AG!l74?XB9{Jc%~8Py_<^8Z5LFsQ|_Riw3O{@nTb#9*$JBF<8uz zx69=(9-u&@?(KU$uGqAzp@&;)yQfa>yCEq4R4=phvOuP04$HA{JjP5)Br-D#u!kRE z35oe;=V&L_U#0oMIgMbOuuI}68LX9RF%Iw9K?}9#!-DAA?7tos9Ri9=^l8I1@xQ}M zGhXRL2raE0{quK}d6!K`3NQlv;}i?FID<>BgIsWppt=Kfolw zw$(F~_q^jBf`?gMRawcz%PYg#@oMDO^po&}Rt+9uSpiz$yOWcXoV?wx3y{(GU2-ca z_pwN8&Gp&g0eq}ZRs7J^Or%2#URvS5R=O4IWZ+o>K@|G>egG+f0Rc!ou;2lqocoR` zSy{$5HpoDR?3L}_A;XpqL2>tT1&{u_bERf-&xb{eD#UWbkAYANmd1<&gU1z_Ih8+|1YDfdR$D@ojqMhCcD_al zsw;1i48e?ibECYW_rLYw^wRWlt5YvZG(1Ag##@OkQFsi^bm3C>5&Y51lD{ME)hvQr z&N0@K1PKyG?I_TF!U_hZ1tbdQT|d@#Mqd4g`v?)eZ;p4?cNfN=Ox}=DhaWpGz-UB{ z?Cpcs&7UYtj4_~7vZyhbjce%oa0ELPT6E_&njJu}91Viwi;x;Q2Sxl6antcMGkma{ z%;DtBoUo}QCYR@bv)GKafpW7`b%W2#{=@kGPn;&LrGqiHmCE2Oe4)MfM|55OtX+Ju zwq567i&IR|xnxAIfO^DaY>dDYOM(ea#*=HnMV6nHK7PG@xK;P9km6R=^K0qw_F-EF zMint1A_^|+wUDcp`l{+tgv4YqQe+}yqzgYh{XngIbEWZzt7hQ! zvHvzDD@9O{2_MQ{@9Vz|M<34|1&6P zMA0EhLnaE~e1uy#$+tQY|@xcgUDQTF)J5`cJfc{ygHV# zzdIDn@#y82Sn4ZOwYBd4Vf33DVD@a?78;j|hsW%QpJsuD#G~tQ4E66zS3v$}N@KJ& zYbH)!2wpP^B&1Vlx-nFLP?O4GlNkfSH};9c{O0V2Y?saeKxFW4y}hA?RuM^{Hd|O| z2MV+*3?5M%k|KAV<)7HvDzHaZzgt>nP#nqPM$c%$mWxvGC)y%$f3iJ0U3=nP8p;~mH0XuL4&dftGd6*(SLKI<#U>I;7zm-Dk|6z$3N&%~0>v_g zIl+W{$Q~@P3FmC0mqLja?Yb4T2Q$TCXMAyU4;rl#MRJngk9WHn&wY2#s-WgAE zqRNGOIsaYVsp%%kYl*#e4Gu=QU%042`OFjX*pS9w6_;nTy;wxAh66zbrE!8pfo~&N zPJl&(A8x3GNvta(jG#~2810trrlC_FPW^D|A~#02(#kzB$g0wqcyHvo7+Z(Fj! zy12U=Dr%E~b5ZlSRU5(4*f@v*0ieA=j|z-iGIYtL+2hQNjK3%IKrB-{s2;4A@VJ~2 zzE3RXmL7Bh78N!)qXBM&aL0-eJjA3@Z1DoSMn@%a7vvgbU(48z%nIQ7v*sjmge*(`jb zgB+>|`$Ox{SGxA=_d`;?j?MvMGn8yxGi64+*IVdf=l^_5au_B&o6!}yQm(KsR#UUH zgb}=wjQdk?2_a!nA%ZN*+k3Gv3<@m07_S%4gy{WfzJ_R&oH_abf>A-V)tnjnK$E%O zvhk-iUah_9ru60tsyB8RjErniW(WC~FpJ(|({|!UAM=^qT4Q^i3w*ITxgUGgxp!?D z2S>Gsd-5nr?6TjO4z?MXvxrVHsik1+IqPE(U!jl?3Qcp^Z9r$~*BqLA-fpYfzI*$7 z5JiH*H(#F%3BN6JZiOE6{^uqnsc*HNGQMA;(6nJO#63)@k)I^9Xa{6G!|8-z(^s28U&pLm`(Rc&*omphlT zy0uB*yZE5}_=2Uai~#=#gBmI3AX(X18vht-%xPzS$qS`tCUD zMGGPi=Lg~$0HxZoZAIs=Dh3$r1L#UkU0n|V460V?;O|+nq<3J|lZgY^jle|@i!@jc zxE<9DfI|u_o*j^@B>qneP@`rD9&Yitl$4b3CMLlQ2tY#$T1eab3nRRN-?cO{S=>V) zZ%%$Dou49J9FRp*r2rQrG*^>n%0(r8xgyMHFou{=`w!jN#lyC86z%BxJ+Bp?NCasi zMgLwsSHht*TN?3h=i~dl&G=rw5ENKf?+DBMi4Bx*aC?hZt+V)`4*lL_dRiIVK6btC z?R6QJTByC0yHY-VEhH>JRyrdtf~K?1%$%l|ckpxBcx|tZZankbALD{h^J87#YrOQn z_)ETurMntX%}0$#*c;W2hW44^93$~Em0~mUFbh?v6e-wL%YWo}J+)E5#uZ{$Y)+IW zp$#ln&mY(|Q*sfPy0P?bP(tdH!pEr(EA`dCdgy%?iDe*-XL00Qp-W4pu+^Ng`1GVE zjP}b#OCpi1P%mZ@qQTyf|KKVUEX(8U7g-u=1g13l0K!Eox$K1TK!km8G%{JYq0mNlPey#ASgiJUpdBVb$8c~wE!xU&Q-`hC<;3L+u&4d!OOT$vQTDyEQU{}RxBKm6KA%G15HImg@ELL zwgo-xxG`gp^9F{4|M}2-LrV0pf&Kzm5J22C2nS^D$Z7>iR%gzqhaSt~U13Hk>)1?N zn*zMa+aI&VYTG-1YaVl&Y3t`Rh@%8qDwhq0iTntOhAQ<1BS=An9ND99jy*q`m&mUy zBf42ibAM1y)1Bs~G(iQyPO68Xlhz*^)owDUluC)91JK2p{~Y~U!8lKF;gP*TmBid7 zqf%hOIo>6+Vgx&mR(q$w2;!T!il4r}PYJWnWch*0$WatKEv@1zyamg!>g{3ucDsrc!C6Pvv+xu1UQ7s=*0Yrga82w-Ik zE-dBvU|KZY>mH{z0U9mpSPD2VrX+#Y1h^}fs;su|OWDkS7uU)+2UgsCL`LQr+)RCY zVp%iRu@<;(90Cz2Lc=kx2S<~79y_qV7UD%y%V%AWGbKZEdS=9`a&wjFHUm(IuZ8_s z{ne(<-Vv$?SkJwe|AmuT&}kQVR8!>Z5uH5qWJWedbipH{z**<^adNn}!+~IIR1hOZ z0stD41sC;M4CD^rwOSj8FJ&_}x*L>Bt%5nC#5Lc487CmsQ!l2ru*5jLtNDQ8^5Hmpj8C0O4-cMaScDw;SZ||31yTCE2SR@02 zivHWzVkUM%EbA5kOh&P4u7<{9?eqplq)Mv=;6_1mygVfaXxW5GKxPpLFhXA`odZ$m zz(@@WkVz-}rAF9evZbXZXn_euBP1cJ%_4S7bOzLYC`MBc5GD`LeEU%{U(qWW=lu(x04Y~zOq_#uU_q?^0 zIoK4jM0)IHlxd-^nhi_-H)Cb{@>FfAp9yil*c?d7M4$)0Elt!1;F`XB^&OK!Bs|h| znal2JGq6wHBS5@gXOQ+EkR{wbF0-iLUKMVcY>YKTgdo~+St&Kl!N(0oOcc+F8`U{# zSn10PPdl}%e7fE-f4usr`*vP+g>(>J#M*CR{26|BgpY!X*5NsGE+r+cU(7g!J2{E) zJNxj~)K?Lj)SB~iosUYC6Q+$EZjP}%-4jFS@)Q8#!?st-X(@eAG-Of-h67*JS1ZtQ zziv<#8nq3kg_4D#Kv4SNeo&TyrBI;;%b_w$4-pbxE(3r2e!IiG>%OZ0TgRrVGeYm} zWU)d7vJVPDe(3cjE?S1tUu?`H$XII^@a(s06fNu|lH4w?&V{;OYx>-hcJc%QPx4Oc zFYOAns_ea80x5HHQ#vFfv`v!BlG(q-X6qHzMx{yOJ+%1}GMH^4k$uywl=e0Z(BhSC z(JGv6M1_8<$oN@1rD(~iW{DgDLK=~~>RJfG1sXI0de!#HvhTZh?Mtw=qBYBeph6zFnccyVR3xe+qNk6&*>G4RO(ftD`pX~q15 zXH2J?;vqR*zr9%&hZn}aF$3wqTflha`|*8mrJf^*+Y{I+k0#YS9jxE+#1g>?l6^2# z7r^o~Bo)UP5UZ6UNhOQ$$`~AAU@32bVN0$eDS01fOeDcnmwi7Tko|;aT^5!!`cJ8G z;qLdVG=}R|{CiSS9pPkXDdmm$BFy>H`uS3pR2=bmLVW!CpA?9nAk!u6X@*n5U(O$w zEq)se_VlqJ7S>Ue(GpsRp}yM-@(qiwyxQSROZ^ols8KKg%+zR@T+rBm-{%PG6sf$Wum>~Z&8G43DIY-6fPgk2mObJC^C2mkOSSQQfcgW`&d{Z9i?RYhD zc@?^ey}Ga+dPLJQK1y2F5fE8U>F5_Td% zZca{Hi1~0|Hp8=bUY~qkQsdA!n-1Z8#j)?m5MhcerqA3puq5zeB-HZbK1BVIvG+2{ zEZH~Hd0y?xmCh8F-1dFmBu5fzT~c-3nSmOArq3ovco&r~oaJ+X@Fte%qM}Jv&Sudy zNZOf;!uj+J2C(vY@d+#!p)9XYJ0nU;SOW2=_`dTWYueZj#L_A%dp3MrG24_j z`;k@mB#19I;D*I&o8I7xxTdrAR!}$$$!EPDVeR+x{=tU{jiZr2VFT*Ik7aXe)+gV? zsN(CUp>^U3yBbFs4I;1zUoj$`<2Blb@>!+3;~Dx-R=o-CcpX$;Uf4YbV?<-3E&cLT z$`Caekn&#Lbfa?#uO#DopPrt0SihXit%8wW*6x3y7@%W^Eqmid{nuOEph5-w0C7XB z{wz@jH#aw+jlxz+`!93LA56xa+q~AdsYjT=C;`MWIJ>yOvVka}B>R?8Fkf(RaLD-P zV7%6l3DTr_lxw&T@ct$xj2Zj<)wKXM1pYYhJ+{Miyq1>wu4a`Ekrc(yZmpDzbahLe zXq|?E9;f6w?45bo!op|Eww@iG)cs`+(L#7Fot5sd)(BBPhqX`0KH`AP*$Qzm zPD54P2^@dLLuYmns}=svo|@kBc(53gjsJSyH(m|aTwJP2_rLFz(NYoapPot2W!7qwS7&`Qr=2g}t?#sUv8_#VEwuSGwJs z=Mhb4|Eh?c&98z1e@`Pz8$q&1m5X7JMwJ(s#ad1WpC2dmoG6M2aujFjU#oyBY4?-R zM&>ozzGqUNWcbm^r?0BG&0}b?SvngJ{YcXv>&VbBH}l+<;a(13Uv%$_d|tjZs{Dn6 z{w(k}REQ7?Ssm{Fs)%o_cMAi!l{x;ii>Q2lVUEr&oIJ73TZEv%OqD>lSOyWDrH&R6 ziUoKN=7pX<&XC~xd%UJsz3(VJ2pm#B(dlW=w&e70p+-{=wi!2ZDA)Nm-n)fobF3wl zKE_NN+MFec4Pj|x3!+k3ql;Bf`Kewaua-g5#Q~XcDrxT!sh%S_d$-fTeK{>V$y3Sr zZK1BzD)|b1Y&`poSPKJI@BXX4uJ=y-6nL0P zazOltAIwPWp^T$s3FdDoHy?SaRaHtX=gywrC@W&8j@H;(de2MTFm94Q&Uv%5RfFs? z4^;urHSulhP+veGJ~^QS?GjjKi3Qws%3?r(T*6lEGYFHZPXd4+nh}r*D>aP=7kzWv zMmTHUF!#|k4SfEvm0xyWM;-$_oxsKQ-|CAci_^(m7gsj>5j>Qo%Vo4?AfOQxtcaS{ zK?rWi5tt%_yR``iRyR1>?Hq!!FFrS`G-8!k+|wR^yf3yoO{|Jx0`d1m*wa?VDAH-; z(8whc^jYeq%#&guLkgn-{aA7MNRNV@a+KXF^I3rWg4&5~5ehs>NRl{K7)D`e3x@1% z3%Jfd<%&C~>g?Apx7592i=p8uX(B}o4n0Y1eYO4!ZO>%CzP_y8c9J{}pgHs) zMfdR{`ri=ekQmCy5gOuP2B)2E{TsK4)T}fj45s31Jo8N6%1x9Rj2#Em@|3Wxg{O4g zC-|yto!;|DsRDxl9K;0M6a&%d+MDC`1eFGpU!|w0%H>O0;b2&{W;pB_ z-t*qwwO<{f8j63;633n}y>taGENSKn4LIR=XIhamuc7=X zYw153S+(^S^pPWtBe#Fxeci{pTknS2P73`JqP9X|5DF){bL!N>wPBY(cj#+>>y|~0 z$VSRnE;{Y-h;;FH*ezf9EQ$5UQr$O9yj}AmDb=g9^K&gM>DfKUHnCR0E}N;+zaM%@ z!Rt`9K#cN%@9J=P`B%#&o=VGd zTUYn*d)%3szv%C1lt04heY#)lH>;YYAcl55`Bmq_qUW`2%9hst+QCfO8AK#jEH>f4 zkw|sF4Mp$yavwaU0!T#KG?PpY2`cDQK*LBP*Bk_$xK6xt1Le=y z`aEWM0b3YZ{KwDGdGG25kM(2iYkFS{e+ZjKJ@9o#eUc`DYdTG*&-BQAnEK`j`3LKB z`Ff`N(k*+*%y$Vgg?J3r2|n}l5+{^80f$oR1$XNTQiDdO{`42Lk&P7X%A{7|cW5Fk zfyU71+|k#O(inaH($Hd%cS@QRg{14Qn6XMpGGyIbPpD9>LAz>rJRCyf$?8i~44BCF z>u0Dy^t`@2_~t@9Z}O0tohx#audOZ-W!XrUa5?(t$AVk~F{bCirVr)0RS@wR&Dp<0;o7;Z0jdUyjl zYp2NU5E1T$;?l5FcNedW^@m$lUhKF2<3~P8eNQ;#bpmS+rffJIjgo9hKTXoglT;{! zd3t|_o%%!9r_s`kbTeC_ec82bWxGS`OQfYhk|zBMAC^PXXol)`^_MbO1U%idH0&lvz4nM#`q_pxFMZx+y`rI)vd}$5_=|}1^+4RB(w#G|GDRk77v<$b6 zrx4GzUH{W;0Z4Fq5^+$F#lgf0U>3kWb^WE21v^@^s|TscYV+&l4VV{zms;o6Av$yG1@OzE!uqc1 zW@*BCZOjX>@lY1y^K)u6H^T5Z?Dq5k&Uko&=1PE(Hyn#9%jFL#c$X$Z^u4;eHWUpn zg$=$l8kHfYTMwfQqJ&j#8N6&6^~`tk^$#tL{JtCBBKsfUQ+`Edcfk|Dd*WH1XGf0V zynruYUfbq-ec;09xr&(}F-8nW1{l%t0OuEcs?F zS?&R+zPn$uVO}wB<0j+d(c2s8i1YqOEK{!PnwsC5yI7&J#$Q!S5j%2rTOw=^KMn;_0q(Zw;=S^68xrdGQ42k)>7{?xR~(ZCCGSrzKxvGS^N(s?Ei z$5RA5E`p^%l7;0=MD5eyk45wfI;A;-R6*YVkEXW_%KCe|w?&ce?k;I*X^`%a?hfhh zlx~ogE&=K81}Tw}xCrTzxaj8D-{1ZGXME@AFwAG~ea2eH>WVJySlyF`oH`#~(0i6> z$KT$1+m;-<@e47icf9E`Oi z+Lnt5guOAQj^zqq=I#kK)zy%fvK)vtsDE&2I3z`Y1>{p;GZj2@jVFMz1ENzT4}p5c zJW_~{KMdgv4UIQ@gS8HsH2TE(N?j<)vPcZ`xWq>|@bCl%Aqkw^gZTQ$`g*Or~s%uPQM4pdVrUs*PyhittraXzgH^Esj6{( z+rKUZO$++?-i>nz;VY5k?%i!gWMpQ6m83XKswhQo@EdqO{+_%5rDy6Vo11=mcSFM|lr;1YtvcPODD(%)AnHQ1>=2xI1rd9#P;iPgy3_f- z*l>O5ou14>qy+VUBdj=DnNqdwdK*)i%+Q7u1!d&|Lb&H9+L~j*9M^ozh0G|6I^QSA z+WP5bM%140xpzRL8<_|uLA3MdAr|&epA4u!aK=}Z$Cfn^L`&IvV6hPPJCiyIDO4&~ zsl7Fz~cK891Hsk+@&DX-!7 ztIHo6oaZ^1<84cO)NyAn$na(|yAlovVb5NGEYN$69mc}W&d$qWmJ2F~4rz{1ZOGjN z!K+@+cmMJ3zK&Z6PHlk(9Nbz|NxjY_3bQn134nzM9!s!j1sl&LJ1T^J_P7#28L{R9 zaYi5OKH?0OH7Ebwa*%H)O{jMC`9UXY^-g|tV}*f`Ha#&osLNL$$ryF%A5lF&;=&?< zNCUf_AC7Eyl^w}cNg{ZUg?z-sKuWv`^CdrM_Pmxz$a2JmK%H{JFrjHu@msZG%Q^)C z!p!%tvP#=3Zx#$yWeTm)9tFhvFf?nXq6Sk8%AEx|eXV6*JKfxN5t0pDXdCF3=nzJV zZ+Imh03V?NXO+Q{D5QvXU&@Eub-#sgbK`6diR8=)h0C#;2t=L$whtdk=@JPFGoauz z-R3WUZZS;wPOSlD)cY-=pkTE3keJq}&{0|yqLl;9|VRM3?Fp^oOCKX)TH ztVt84Q7es+C`X4Z;zbP6oi67Ldw6Me?ooa%QYz?YO?fX!LR=EEQrFCAO3F^q8C?Dx zo_$KqYMjVJELYB18q0)pt-yDkJK6x$7-t%xr#*qe zT6rQo=eOR`e0<#FUi6b{&MEN=@Z|l;zn;st&%&SW9dP?x)*^aQUD|~#9bL#9T_%}_EwFWso6}5A6x?k{iP;LugFp6F zqH@t#zi0hU!pv|gX#Wi2RUbjo_tu9sJlKxR4N7Kgu#m!4bkV@RWzR+ey<+i7Ka%AK2p3D0;*Ic%J~-8Z>*_+yG?+DtbsW)IU%=6#zlHPg8(Z)5wUPD9+{a z7HY7E1p9iwJ>DMjv1mfKY8cSF^7q&Y%s+qryl_%Zfq)Rg9$OYCL8W|5_22;QV#jC! zI6sHBrvM=?K;rP;isKFHqjGR@Nsfw&(j#kejmM=RX6e|0c?`uq?Q~km;3wd;T&W?VwLrsu}9Tj=1(SQCU`>E^VCvPNi_bIi2P-z+3zq`&l1s?`Cw+^A|YI`+%t|i8=s?_|+jtzA{ zGA5_WDMX_Kr}r1B^Z#i9+<4?rU$=w8)x^X*ZYx3xI;)IbU>s>>c|&F<%!o$T!l(N> zx)dt~mB=zL5fipby6ot0x$q*HVZ%q6I1b^4Jk7F?HJ>-M@ziF;lZE_7wg7J?SECQ= z|KUg4NL0DljB>yhl8eH}w2iPfvrg|FE<=u>9|lHt9nqrh&M7rHw}R09*$-sDNWSe# zGo2POd1kx_2<@WfbnaZ+mW=JR;7@P&vZABQCMUADp8wL|GN4XXLOX^0a&)~uzF^ML zv)EXzjEvl$el>f6JwdvhAY1|GyDd2XdIXKUEO>WPv=eL&hq{=W8rDa`^3fKJ%!H;7^41E+q#6FD>_Dg1PxyzcU&tclxtkUnKA z;u>2YVqB>|;-Vjt)n9ift2R1VJz|d=ZHL2@k@itVDcuVUTmdm8E)_fZ1H*lq}Ttja)y4;p@;{V*jp99 z`@1du?soC=>Anm9!tmkXEqM0WBW$(x8y!Q4amVr?v|7m0GFnuWT*^1#zAgByr@1Z6 z^2_(R!;j8yL^VIjHPJ08giGyR3*Aza8G$STPWl8FZ<{zDt6HY)XaW*p55I-*5K18W zVkBa|=9rfYyR@&UVp4)1aZa?z?6xX0{G2R1wE1`&mEP7^FVn3#bS-2qMpYDk3!MFn zJrUq@5(jMU4C{RIJXO{E zTqpyRoP?t^70UV}_t)(AX0PiZ?2g!K#Y$-(J4a`a!I1%a@xQlxZEdy`SWzmBsVehg znX^D=n<^KkKo`2j2WluTB3fW9n)zd#Mb~GXXv`jI4`~tFi#tZ+)l39Oe`SRP41obN zl_+kQ-Q5DfAguEIueTm3$goe!SPlXN0sLgr5eo$lNYZDy0QB%@y#gNzP^STpogyfs zn+*2WEB~vw=rfo6QzlNbJCC2V(zJ9~JXN?*KczOqi?p|njou-0ly6s$G}UF$ON!yp z3Qnyxoi){5naR(rncYW@kQ*#`UGE>`!&V=ihu-|!_)H1w?PQO`PgZjC3!14;?_iVC zppTA$DGB4iSW05Zwz=;^=zOX`TaQyIZ{62-MIZfIbt&JK<@8;eg0b6c1sT=oc@81T z{+PwVP)s+2^(MGlUw@ZrK4K44#bl>{5MQ}Sm{iLSNh&;PEDxhS7=yjGff4VMaERa( z^~tf4h9A)f=R>~qrnl!>ElE#(L=(=Wf}BhKF)dEd|dC6n${YMAS9 zw%1?Sd4wQ;)%v`DF4`MOGw}6Kg-qcWDh4hdJ!S*l-P?-=7P!~WPif}k^l#U1mb4+o zt}M9rrk0OUGVh2HNyw8xAr9)DR5^>=!1Wu@QCa1BhYt-66=3d9ZVoFkj{TB!?HIa7 z6F5fmy;B069vYco>rrzD>8Z^|z;d$ikBH&(bB*@B-TE1o$_FjF zf=XbQWw-D@XS3IF)Bm}f!Nno@KZkP)eNB1+PZkS!FH~)A61m>UCZBZ*<7*-pQ^8o$ zyVB&&Gqb{P>_{wXtb^Czb(_-uI?bZ4y;aJr;{y)wD->!O_O%i{PE1L}>6CI@cuI5-1Jb>| z6^5VJG0=A!R~09iEw9HlZhz+gdgIm70apXO<;gqajR0+eL0c-Kbr0 z!H1cs5q`smg9&7xpCm#)IG_QmYZR!WnzRJ?;>;YRn)#*7)_^E#uDjwjjp+ZXDIgMYFc2c#n)I%4N=z7jB3obE4e`Zrdw3*7kQ z_PqIiQCxG7pfv!o^rhb2_bRdKBbV!cI>0&uYN&MSpGyr^B0PZ!((Y@RAj|9+E4lmT zb;D{)L?Dv@xVbn4WpcAJfBwxf@S7TOCp8sAEnC>U4fgjX1HpOFy};+a$6d!~I-~oU z^xK^EJ5oD{rCDV!1YgVAo1?lkbuE>*rXmz}Nk^D`Y~qhC)Z-2TRqcO!_vV zZFAV*cw#hkvt|VfCJ%SHJ6k(BYzDzU`a~Fwi2^VkdIh$>3r8bM*8%~tKH29RLa2jv>EJPqSLzFUW_mtD{nsAW z;O!jk1{8_M%k8qPSzkvd9JO6S{G)eXOKENmk&9dWC}8Mr@z+EC?Y2IYoSIh)^%Z~tf!Z_8 z0@yo3C~5;=0>ClF37b55qAP;4!q3*fVClv2e3JU_K^-~#a&It3ynAmHFqY+pV3&2_yymh@2d<+hfL51r)z31h0mnJ6`!?-Omx~J{F9b!9Y>N#iX zyxoj>91eUCVGq3gwNO?_tp9FK#XK{r?q5Ve9yJ-t3@Kfv?^82~<{h6R+X#(`fyD`a zYU8`IjZ)wrOS-cGa#7*;sWEvH5~@LviK-!?SaNrRy}1HHR%Uw)bV6A3V2_5r?gJVy zdP?ptFSHws^aXE{u=`)wNspK&7Z`}EibN`Y?wz1iZ!g#621&iuwRML5gk1VxFOu~L z!}Wq?drXvY49Vcg%KZHn$8<0@`$k3{Z=a-+F_7fU%EL2V)RAYUhbINEMAE8m_Lm-D zE~1JD_~P{7Q*@h#4|h)=apPkT92(|qlHlXZ8q_D4?S4w;>{)FrVieMapC2h%~?GIo{BBL z0kN9(Q$S*tV@w5ZSCA7V{M8uBzUh=_>5$%C-`N>keT2}T&t+eRWGVe`F>1XliTHuh zV1YD1`6hej_01mUIfbs=$zCV5)W1a8GK@4H(Kc>=7R;F&96kxv?d`fyfNSYlmtM&0 z`g~wfwU)o+kfKDx9{UQ=WgeIEo(Oxc)}MHKu4=mb*aEf|?hZvBN($D)%^(?;=mzK% zMjeXtul04d)n&mR&_qOB9gb>y^Mu2s!EiFlz zvS7ffQ}wFD^r>g0L^4=ouJ{o^Z<7@zbQri2cUFb@J$j~Y-F&9@Xg1#q`!Y6CL)Dbb!mCxG+_sEgi0nP2{tMgGhEF@P!x6d)NN)Ydsg`LUNi|?ZtQ?T*% z8AbzN!5%Fr?bONS3MqnW%g^BucHSej(5CRPBT#@8Lbn(^0Po=|t6(`C89}ALx|VP0 z2~>DN#T>*+oX$=(muqoL)U)4S`XoOc+;{#zc3wW1su7((r}4#W4Y*zr3uz zvIxHFF=FnO6xMl{)YS3MTrn)LV6b4?#_*8v3oCB51760YGU#{u$#<-u$rIPM&NNQ3 zi(SORA|lESOT|FE5J=(MMK&e!^2idiLFz!SEg1XXh0s-D?9r*_@U0UzG*tE)_=+nl zE5R(M1+qG8SGHt#at^b2cfvAm3OF&Rx>J@k9PHWc>a>FqPz1z?fg6@$zpoeZ)eV@u zKY>6d-WQNmV%z1 zNdxuFV;~XHkkAPl20J}y64IwS{Pbi>0D~4w+nQWcU_|`c9wL5Yk9I5)FtW!O?V>fX zXxSiMc`Y3EJ%%XxyIo$<>{Pyt0aXE>nB?~PK_vyFImZ^CAp%6Ppn~adg9T(gZ=xY8pofz)d{+f|I!dO&UFxHn#PPRVxuIu|m_!zPC)MtCeDHXz8sR zIF5~UEY{Z@de4>=iyrW?h4{Kt5L;2!}mn@RVmWonmx7}Ac z9@%n5@#y<~4C)0q*dSOl6Nudfi6=QwJK%3&E#fkbLo(l}`x?TFQQy`LZ3rJ1&&cj7 zPdeY_Fj;RJuYFr*$VVbd`^-@%!ixj%lA_bBiTo)W^;>CJc2|?!e7b=ewliHRT;WgO zbrDqms7mDVOCq|%rq;_%7eb-J>C^1TL6N6T`S<0MFPy^NY5LDiwF3U&}qypI8} zF$tV#H#U2_j2QqVU45jT2E1VkiUy~Xq~zpQHa3W|$<{597Un^Z?!6qILhv=nIQ`rM z18WV9h<;fxg;pz1lq+%2Lv%J%`<1hZIZXCRel+64X(Xm^k}Rz^3znsgeQ5VFRuo)D zZdM>gN6u-kQLjemKW2?fjAnoV{l^2=1 zonxMs!GJ{c1U^Ohol09}3OoyDF(8!YBSdFV>4Be2?m*nev_iFHMsXALg7HYr{J<=mgD% zO4?NuGKsM9hOfV_C93NF-zzY)T~X#s9DR-!&D(0e_KBPk&6*t#?q*l-C^Bm z_1I&7F7T(eE)3jO{i)WHc3@8V(o_Oo6?yQUGD)d^RWh3<@Ke{7BPOHwKDICYpnAZU zDXl@Kgnl0yzF$ww@q^QtFaKKY@>u)DCe0}fp=uY`{M6la8hgK8tg>t9=w zsYL!oT|)`;$;nyCkD4IB&RoUqrxq3l#r0^sg?4wnc;%nI?iuenlr1auz`TuE;tmMtWli+V2*@;7P%<1Y+H$(&sr51f%3+62tkf9X;QgYY{=u$XZopv5*)WKt+ zBVM4&J@SNs^!7u5)5{wn%kowQx+dRm6`GZ?d-+yrHaw_>1+0bNLlCMp20i?SUE!MU zd8)IG&92;q-3v!Obm&qMW_~!Tf1dwt=S$FF)Oy@@G|v=U0*Ae=TP4=BPE8b-qJ*H& zcf&tA2MZnC7Sh0tZB6||C3Xk`-$V0PwJn*u9v;4HB2Anit2p9*U*K}d>^uEY&18r7 z2l0@uPCH1K6Mg$TPWN~vn-7j08T5Pf->T`Rf)IPsh$pHj2$1`4{m#RBBBdTCpM}d!1y7}g06I=ZP~C;=jiw0jkew* z1;%t{W*$|h984nVcz%H9#!TjTBfsL;_>khr@0ekCR@cypar*F7tf4Eal1Ywa&(D=7 zXzk`_eK%7l@0@_{iEL&gTpSSX<-9wh=Nm93gN^6%SMA^T1U|=~DmPm2{Nc&WTGNAV zODaE*)%^7XvsHdahWX)EYCRq{K4Q?C_i>a0v{~KVN&p0Z;}7a-l}iwT4#@SCvRKiD zXG>E7|BZP5=hZgX+1(yZ85oNr1v~%Tz18Lwc??*=sUpLgQ}35JGD=?Jyb};y9`!$W zpxu<&zcUkEIfp$(7iwOjHL!=RwQlO@FeQUwhVotic`-yLcNc<@;+*h)?~V4g8JvQb#P<+wK9CD@v&_;LFP-k}_xUineTiH&dbkzjxOV;k;q@IHK(bsff!HJ~8sr7>WVzFg zc+xr0#og0Q8w0#;?F1w7XS~r?WtHRl_Ga<6!;6)2wi9pLK1a}MlxyJ04%!tWW)4+a z)#eBod?JH7{r}1$nQHN}nIUF9gl?IZ-&RLz!7F_z zQ(d>r^~~7H!*_F)Z0znF5f$ZL)yhqUi-G98Bk1W&wL;-O(DQfJOg|98>Ip^QyT z>3BBjJ`BmR%;N|lGFBZ^J|-#p4zYuzUtDz3Y`z}e&^Uq7nG2(s@8{D-##gh)&gZ{# z7Dy73lX{_v1jpebg!-*cFtW+}HxGc}f-*pWgfV2A1i}|`y>|(L#Tk4)j~7$x8q5I5 z*U}if5?fKhMHFYyvTBXf-qa+?m}&~B0M;rHJ037?202~;Wq~6J78;p(Jq^*mHB`$C z1y+Mwa*UW;{kE7-;pc{mvzUJHI-2Y_q_&|1GE)~A=72nQ=D+XZdkMG!xpBp}mk&JA zn8U7$pV}hu;#CeD&YwG8*rK)tvsNhZc%o?G;Y=*Ikn}3|&ipagGbwP!D7-9kKTtK) ztHMzbO(VWN!f9sZ;CavC9WW;&hXYv?SFKj|jy29uqEApJkVG}sL91Zg;^T>D0&1&f z`)OOvAgX$m;_10yx`VI5dvh`p{;%7|b)OyETt+R||Lu8dn7Z-X%MEcy|A8+~MoP{o zhP;;@%95bsAcknD*#w)57eVw2)S{9V;>TvlxpN&~brkWw6&rEY3mSH!+wXoU=e+ajB|i9?uP)YshmichsolE zkkf~+mAK3!beK`A&a;Op!|`ul^=7vGqV{FPS2mKu{B+Of)h%7Q)X%{Zt!Keg@IH#s*b2t2Jhp)>qCIbr&C|cZo}&c6;2t4W8!Y-t z48udiekCSPk_M|lt^D5yOknZ=OJ1M}0QVheEN!v?Mgp95iC6bK+dE84UURR6%03iFSHqw9U>!$72U(U)Az1nOYXpidGd2VMiKZ)KAs zt+DEBO{b$v@pNEO7$VtNW-LkE0IubLuDgoE-7)w5BsUMimXm1M5<`7MAjNY4AszXqB@gH17P16PJLt$jC(-BJyo z(ooD+VLW1(R3B$l`YfsBV$g{qMA7fPOS>>vTcE!>m>@`Jwc`-REYXFSx;_bEZ3qj= zi_ThU>vxKBuqH<)%<|&)_BD;)egR)<$my)z^?@5M+Qb3ZvevupqS!ceD!~gqe8eNB zL28!k9l`v`KbF|!Np8S7bd3Ota(Xq{IB|<8yOZD6X8+y;%FT>R#xUu!GV`n{Px8`5 z_ruVQKWi0B(y0a%<*jU5Ee}s5B7X$OL!>0x`gKS`ie=I0%n)wH9Z~lY^*gE%R^v4L z!yUL}7VLzP?{-?&+YpArkXUgUP4*+SY<#4-ad+XDE3H$0r75to6F9l~-R6G0_dpis z6Drl9;tt{qc5D{Za-s94AVHYYsUJN;qE`|ZNa#Ix=>0Di)l zx(RedH|EQP2_x^)$2+=xr!E%P)}%1Lm@u34tnY!GLYx>$uqaNn@U|9TKD`;Wgn#cY zKt@!^kgQZT%@sE}Ik~~T+s^uMecUnh(+yDV0(xEwBpOx4ry@sE_u|Pm`}?u(bg>uk zRcL>Pxv%xOr8XRCoR`pj=a~kHbAQ;e2yNr=vZyxRgq%`DVvUyT+*_t*=$l*e$C`WE zq%O!<+I|;LoaBx%_99xaNsb*|Y>p`Y^8UfVM#5whC+t8gj!jH7UWnwwkDM#M_^7G4cXTNn(N%BY~E z5VTmLX4|lGbg?oT3Q{_Jn#U}=$8WVGrMeUt5TgHWwVTKdSsYej1&aoAw?tsBC9HNR zuokIaedIHQowZF;Wcv0&i>Alk_*zom6L$m|3&H&TB+r%48x2M?0mcxH5BiVsUahdN z;gl{V&xeqInxbM@H`4mqGts%~S*xYnYM6RBglm>53LA|a!hi5#4zX~zZXUyF zVWFe*X%rw6n|vc^{=WCmFfRWSW3pPW=TYQ2Uwfm%@83~UvyB}ZZdFs;trJVgwEEIw zUs0GJI4q55aK>hA@ol*9RkVjaLam2MM(4H&7x-SsPmyfLjh}AOzHa&Ys8=dEJe|36 zV_ey?W+14{v|j{U?dUW*je&ROuz^&@cNT^Hq4@%$?{|chRg9e&I-qfOSR&R~vBZlA zU-H>V_SQKdTx{IB0ZW z*7pv>Ec}pL%SH8)xcG5XxSezA?oiY@)%^$n6v)rz8*~)fA#(fP3^dvjWY-S2p$c0(=v2ek2!VMN zlqx;zBhB`H>%+m6=KoI%K%Q3mHdG9xL4oD>z`~q0SNI50#K0Hv0s~yi+`T$btx_Pg zFz0*3DlGi@LqJa6!)9V??j^9Ps_MwYUL{T`?Jl+U#IAQVP^fe-0T+B59^kq(v26zwlDyFSP!Me$8p`4+uU#hH|bAjbr2p6$gv z=(*lG=<%G*U`i;9hanl}qrUkw>FFCE5gm!g(qhHgc?@B@0lW~6dZl5Z;c?>luVe+Z zVW0Jyy0&LLb?2P)`HU7yV)vaGV z*$q~#?_sKN2*-Gv6R|4{Mf^j%&Pgrr)?53s`6`WLkkNCl+qoHQr zpN>AUih|ujzm)mk%pPOa|Gvl;XjNc93HGYX+PPl8l&wBc$VMDTbM?nUd2)#WI9AQW_%US7gV(-ZEM^ zZ;wMWfF&;P!=oTF@wna1VMg~G1PPkB1E*;J2RgF-JDwPCqV@>J(^b5p;gD}k%+RHu zuIQJY37lZlv{5y_KeHxlRmi5Q&4MM2Q=sZd@qiTd>Gg>FzI*$vFau1|Xr^rcG&Tg&7XP#Qk1IX8F1(X(kyoV(Md^^rL!N*E8rLnUFe^Ge(SeRO|XziOZeD#v+d?5 zxL(A7KU&NwQz+ry6mO=tFOHy!;mnfmwA&u#-LTYee+yLpB z863adJwQJKg*m91K*-U;5pX5cGtVA-IAZbvcw?J>Jg|Z(%&xcxf>Xz(I6QKy7)IK} z9p^RI$Zs#KZIoYj$50XC>z?W?^lSQHm5dXx5fNVFr~UCd?Z+}@2>*L)-NzpCpwGOuf-*Ek3h`l3!Ss?C$E3LC58rq)C+_VW=4CB~3WHf+p3%XB>3Q1+F?hax zA$jBHx4yl@R&$~E(*Cm~MppP~MvQJa6h~e$*7#aiKrSY6dgx-S!_bO(C4cD$W>oBR z8W~rZT$Fr?2FXV;3{eIaPVzisBafR5`e>>+Dbxm6vJU_7fe3Eq%81g)*6ui(%W^H> zNJDguEQxfYPUtQco5;d$r3ftyuhO;PnuurW%NhOIW(+)^>%D>D?VS73 zwKo{7D`<&1@Q(Qp#>!A9Lju~a{2L;^&T1g1ie^|~H_HsC~d@7z>q&o%x% zNx(PY5+_f$NJ;R1R2wKwbi{D44S&E>!^Qa_PvhEf5nuAt6|!Uew2-CqW06$t)I@1e z_cvIre$SJ%HF^4&i2l6sn(~AALZfy^ZLh%U4dRe^tm4jh4|x#J>1)N-(AF3{@60YP zMpqAll=>$oxB#6Ukx&)KW?>mvtqbx^^jPcdsO6C?TY8R~(p$zG_3VrDMSb{TVA351 z2LEN^tPk*$HouV93>X9oHLqPUY~!bbb-2CJ$6+dKiBl7y;6G7ShqS+c_mIt{q# z_^&0fZIa^xNwYY>Gcs?BTFK+V$nIu9o)y{O`=p&*T;NnkUE51>;$&}+3TXzF*?&ob zNBrQJeIy6>nC$iGI^a`MX08YYcO;$f%P>(*aw7T9W=p!`*1M+CYNwv(b7qUx}J7WBBXxI;Dw(u!wot6c9Vut2K4 z1+2-b^J&`_;}qG|ohJ~1E*J_)wKYao(ABZPL+VvN#mTsR)2xi#{8aw6vY3-i{d@bD z5UeXHVnxkS^OTIzfjAN6zMzjS5L%M%o9+Wl&oZ?onqq^YNYn~G4P2BrNJHc%1R}ye zaG26H54hOsny&5dk8co({F9*w(c9Ef!df+dYO7fLR7lnrZvU*mBtv4AI!4&li_x) zcehoox;DT)Wy}W`F-)pl(pZ76i%pRuO+pnH=R@RtGsCWY@uBB)?nU-nynx0?#sk=< zBWP^^KHj>{@S)zsuPMJl$BhkeU~<)@>Kc7r%cf|tqRv3XVy;-S#hv^5>0NpzTUYtm zdFiCWlv@G>#^cYaDZUc>YZ@f&aE!$72vWbLWvIlzQm8}+;b251z6yI?JV-(N79q$K z0Rw>-tMQN>GRS#9r17MFzfJy(AdgzWbQ64la148t@9N0HBWi2 zg$#xBM5%m0G-N`s#Ry;vfTpLRAzPN<76Z(p;GlvxO07J0QU-lpy-E|Dy8jd~Gu}Y`4`|z6_Y~mlfd9MVaPg-Ti2t3s@Op%fjO+zi z>+_3<1g>9yNafDiTn*~deXB-~`s0(LNe#p_=|eyJ_TA*?xp4pRr&o%+k+|abq}Xj` zCRrMVIjqh`A92kF70Ejm=sH@z{6661HQLxHfuXIMy!;~nH#4J)D3|PP<$^Bo_@YSC zLXh?R=EXAY<(il1(KAqFB=99c@9{7&_alzrqJ$zw^A!ISGNC$KKFSwGyJ$HG7ccCI{f35ah zX_6TiG?`b7WxUm-RB4jSWl7j3moBg+`e9v>i*h`sE^6Ux68u`Xx6Hba5sKAMC(r+S za+0{l=tIqah?P^Q*Eq840M>F{=omNE9h`gvS#=er*2nNrw0h>cHv4*ZVytki$g`_G zAHUo85n)SPTYpyX$HQD1ufi3}n))t3ZLsU$h$-nEjgGda5a8c3(uF_m&?IdhCc?4dMuH#QfjytQXOf8*Duzy( zm{#>%VKHrLRm&n=NR9M=8z z$@lTQcyE&=5<}p)j{KW>yGQ%yNYr<9lFMm=McRjP6=@r(>W6Ti+M^18&Y{`b8LUg; zx^qd=pZR_L5@KD>#p+3*kRkYZHn4Sy)Q(wMQ|-Dj4X-S*)c?J3e|VgCy0`=0gmrVro|SW%cAOJMUwmvZ^wPcrghBOp*a#5#*k3PywXZTdzPm{Bu%uD@-1gC0~h#%dy0RJSgkgo|SEG5U2fVdzG! zQX@nR&HVLv-$7HNP+sA;{*|@9jw_^t6SS)%-ceeT&G*6LnwB<(1#3>;w=nL0q^%Bv zO~hzMkM*Mw0dDEzOlU^;_ZSPL$AyuFy%N_!9uM)W>hGkRcGVaZNCa+tEKSn^dE@@XVXccm6GNwvQxb7VmxsE###6&&>2?)Zt>juZE- z*3(dAF+Xv1VG$EU+?GkR=IN?=iOMd&jP)KCeSWVtM588WycMVT3Cc5_FOhMMp^6o0 zr$U3Ax{^D#Qn zO^ObPV=uKK2p0q9=T(Pxjc9P0p` zUC6M>_n%JbKVL>d6!5=-97+uhkVlOZL!DE-=MA0@-}~xsV_8a2B}(usJaJI-^no=I zRf~777EHiY?!3wlR-hU^sZFTJTd|0fFWS4W4kKMeC_tc^P}p|XPuCrns3#3MdDVxX z#1iAhfQ3?U>`A~+Cy#Hxsrs$4xVDSR1l0f!Uw>0JDfo+m(t zch`><$3zc>FJYg+{>1y@7BlzeBUip@%i z>m`&UOn)%o2@g9ZuT&&*aq-gYTsBU^7PG@AOsY$)fRCfDx$}d9R`EiMED_ODu)JeN zq2R@>QMK6m-u|`kO2zTa4GWEGVQ~o`$oOimsfvVkQVTzPfJqiyw!tM3=M%+{+=S9J ze~|2G3N?Y9%VurfQXM;TYZpFf9CI5D5h$cMoi`F>+vFrqxbO{JwDQp1m?cL~ED73K z;;C8p3s3OBccdIYZw*oBWL0zQRH782GVo{1pBM3kq>oE3;Og4L(`T64?milIt13gg z`%O)v)3cAPhr1SD5neu2W3I&j91(ucGe==nex>wDXb`r6v~Nt*487?7R<@&HSdHGOM<{F$AJiK+MJ z)@vyN`>ayH;p8-R!3}F`OTzEXalsm|XIBKarBLSa5p&jNd%*Po`hpE7upR-y%4xX> zA^$+cArMM^)Km z?}gpBk;Sv84%&jK&$_V5(v=Itv@{6Rrr{IfK)UaM%?sPt5IKRdj#NvXSHRti4=Bo% zmQ!UJxHcMZecYq0zbDB>&|pg^e{o>@i#)Yru<#sa75*s2Mv;?@Aqk_Q@x2*IB1wU+ zN5+OO+#WI~0B_yiHzB@3YPWHN4$SyVdNtI0sDlvXLCx)pe}|R&-}pavEl8!{?$VW= zeh_9!-&^duBGNr+RTw%!^L9IIwv+iCC7xt>^GdZA6G5esCi+{ci+v1d44l|^b!PrS zu57P~j;hq|K#|+Pm&U211(IeD|A0GuwQqXy&d;&&42#yL>0`eZ-p3*uF854G)P*HQ z77f+^)4+yRgMrN{Z^O*wB)I(Uo<%S!*f2C_&~q9Z@6a2!y^`cReck^XSQX(ZcszA-i>R{Qz;nEi|{#_|*P914XpwrKw>{&bX z>0Q+K!FTEK`g%5JwXsE23I4I)DwY|V7R_)QsTS>uzYCN-9vwvqDmVTV)y%J|C87AUrHT zfybIl$E=`Jfpx8D;gH%3D;Tk|rYb2%`FuLhFZyoi!}9!exH%1cqaMqB6{VI|brSOP zd1_XzK=Mg^EtoKNPgYS%F-E0+k+OZ>))KIVj!*_W@<6bD zs=e&_W-WeVv-W;N#nLp3uAVso5f0>?E-g{!D5Z>=YinzR^8!=`!@{J%cy+s#0IEHH zx|kD%VSor3U;tYPcf`1s$h&R1p2Z4D<3enQ@R6FaL1D@O2vV_g`8hy$Jej?sEdej*JBm^*=V zhxQpO+aDDoaTcp?8R80{#yB$q(K3mk{h*^IWY zjy0BpWoZx*O5q)PE9xS67pZ@XcY7ae92!PQU{I$hq%d39oRH=>Dx$oTqRK8>uAu$` z6K_wwNJUAx>YnrTEsipR#*8SE<0_Q0Dm-#YL|4Mm&i5br%9GEM2*TnrwDt10%yp^E zo8$vf)D{^K8!SxI<9Cna`3G+OdFD|&F}Ikqt?7?nG7oUbrC`_TaPBRMl9X#pkw_|J z5d7eu`#BZ$zGVj<@e>&nOOisY3_1&s{O6a?=5fO1v9D!lu;8?6<`d@;U52Qh3{yg! zgHA#6B7E%q+0(sPB{sCb5)HY50~CCTKAfBRXn{Lrv}*6(PPIh!8z3#w1UD$!p2N_L zn%1b5aNS{#$Pf?6m=Kf=4nH|HG>6{P^`x>R-2VAR%p4|Ezr^f&5;UJm8ek2j+^kFS zxo~S2t@KWkJEm*rr$OjNt>306BYh!{PlxXaPa?xmj#YqpYVEtIaZ604nnkv0PMRhwFsQq{5BR}tg0W*EC^F3@qe-S$UL6$~w?eNe=!#~Y?1tlQ` zjJfhTbp@8kv%0A<%NS8;^}1`c`nOCSiY0~G)#{n+aEXv0R++DtC}8*R3&C|crTx@$ zbn|4eB#tMkLa6)ETucndf_X$-gBwZRJ6S4uoXtoq&h&e|6r~YO9@B5~Yt@C%pf;TJjjTNMa@QRG{NQ4c8T|X50Ra4$HL(dYE-f=2R@i{!QAyGN7*MJ^w!e<$Rg z!C>O|+ESMle1nvR2FVDaR-A+? z7wa2=%T*@>`~`PFqBg5R(MbdI_Ae%UX{7+B00LUWO+W%U7$V4(h&SmDv7-RFdgRE~ zplO|1=(Nezh>5~+fnUid#<)?E)|S(;Cv!y;g8#w^Y_h;V&-?F)!7`5n`dY;*p6%xC zWc9r5bQ(!99YPmUj+HR9?+Le99s1e#i&zjY>a+x@55L|*HUjK7Jvhm5QBCVVwCwT2 z2}2*k%4H9#V^YgyqwWM|uyDAgTAJjjpo0R_-%fo|A_i2=E3K&ZM@Hgvo`gCZL$>4S zOp|FScTlV6cy2%O`!3XhESnkIZy9XrT=f$QWa|az{{J6MXB`y<_kDe(L`1rqVFU!E zySu}oLApV@q*0KDp`@jy8>G8akWfInySv}}eBbr^f1D+2Zk&70-un~Lz$WI++JR|9 zUoF?nMU}+1eGb`GN=i0SEplfyVXpK2rta46_dWybroUZt-T$$GoQ!8Ro>J*JH*xIu{Bfflwp8}nd<&;Rmk92rE-s!pW5R>un(QTz zpQn&Xj8VU$FGfHP(yG_G*}joEx=o>A_~nS!e#B<@-Gtxed!g3182Z%wiOPY3I}d}9 z$BsO~ShI>8)r$I9PJ@s1oW?ljE#2Te1)cje!wAbSwS^*M3{dDot$%2L_&~$> zowEf4lKHVkHV}!Zw-q2!&;h0H}RHmL6G!lxtj3VgH`*0~PvX#*&J!%b5)O1R^x+^80m!=mYZX+3IgybeAfRLB=hS~= zB}lAn)*gRg=d*5B@C6{G8sw;g1Z$AY!Ku`JEi@<85YPu}Rbjnss@qJLPuqzbuY)dO;-`NFTmt6ED!N2E!{iZ1-Do7wNqt zT=0u_C~F(yxhy}meL$%=ELSa=jwYWZa*cI!`_AZ(`YW_*t~ld*uBUjPtt27ca44 zSTA#9{$-5R9{spkC0te*3vD?UPn8zx-$+tDf06rAmjBI(T4r;z!+?q}Gn=v$Z(-1S zcoJ67qkgndFZSi0Mw{Q7d7FlBpu@i5+U_CA!{dqjo`-~_oVeE{o|Jt5O!;Bv^$1U$ z!-_I#l^vbOlJ>Nywe&!&0qP9nSPc*l64?4RD5H^DtK56+`BC0 z1}nQp(aM5GF$A8CjiaP<^>A{!2~#hxl-VGanh%);<8QHfMme}Hs2b;?jisYyQ6LY@ z$X<7=F$w;2=W36I!#qXhexG^F$9Ev=;+aS&tn3A9?AT?7tT1D4@p2 zh0@YCHuMKSCtKE-VfeP}0=66Ga>d=&7cn&>V3kA2{C`>iY5QkizfR4pk+4vB8-Ntv zjKEdvnb(BV&N0M!KRBnoro7z{o~|u>^Rf0<$iO81z%j`1S`4e< zSORl3xc_x>AXS$B4i>8Lq~*{jUk5X^efxvOi%(BfPV$c5SAB!(iy^2EhWDQ^&WqI1 zrrlJ?TP${o*II-0bv$Ch%s_glJx;RS&-ZKh%L5D8a(x^!ilVfHf3J)&$E zq75%1OH!mx?Y{^PW1s%h4COYI3ZQ0y`_MWS*iu(lSHrGAz31b&awp7kut+tu-J^zb zBKf_jSBLvwg6RWwq<9xAH1B&UhI8)P4>K$zy^pro!|)#za|aAnkzZmaW{R|=m-ak) z^Mx3Ckq}tSss$yOG9j|VM1#-;vFHX8ORRG%5Bw(MKiQ+vm3z(lmV)RbC&fpPd4iy*d&o%lH-D(&I)msucNfGdSA>;{_ zdT&aCh{%2Q366m`bz*5&gFwi_3}aS_k*5poJ)8RY+G5CBHCUAUb>^e&cafVj8p@#h z-4|d&O?A4OX}Ict?O-8&g)L^m>q?Ku>9-xW({1>L6guwq`s?J^Z+FI~{vqjwA*mdp zZ&rIabhw>iNSYn8KAE>t@(O`KuvLT^%MlF;w|7cxMQSuf-fC3l~b-TOJcU{kHrWPSV;Z z^C$5e9W^cOb;Yr0Ko00ZdEgoxQl&pF1Cx31T93UrWJDAJdq#J{^V{g0YU9qS>_cXmG(J=?p zuXJ0}>4jo}L%w6pVnNDNf|q*B@O@-FnE7v!Cc@rzBsQsnty*~Ob(l878)}mq+IUL^ zXw*6{3NLt`cyvfaFU_T9y&pN7DPYE7ES~uiW{o*JyCBYnw@LXuTfM27OgYi4c&@g& z?J}@u$95m@h_OY(3uxlB6S_-q+pzh zt;zXvz@R}IudJ*LlAnMgPA@NZcw=T^;SDMRh3~nn%Dua<)*7(hp!Zz;bdNs3O z*JH7bra5#xFW75a!K2KqKrOeDH^_h}A*#tYiJlpYTOTb5Li)!I1%|2f?L>l7pEDHI zI*d!+hFA{&ee7=&l7n5WK&D#hCNJgG#_T@6` zbizSLA)!Ooifa#*<1;b}6h|yKuEA}5MlLRC9F|GXu?}MNAj(6$hvE*H@4{!-Htm`Z zNSd4`EP(}~xRp8NTWM@+?(`B(!W0&7F_N=BB~t9pj(OYp26?GTD0Z~fPej#V@w{EN z439m(%9^d*LhE_al|i~qEU5&l&mHw__+0&n7p+|=zF5%ejw{BDW zC*C)TRf-P0S(-(v3@TZ>B*w#Le(o#lC?OlM>B4?0#dAXIQ*tIdm8neeB(XL*s(n|W zMTdhRDpw ztRV5dRFr**#9!89{OGV*1WO7%KLuhrhV<2O%>P<;AgXNhg6p=Kj`80T`cmuD(Vf`x zw`JbmJ2Zy`ig-m@&_tsn*aIL{QXczAkoz+%d;1^^G;!duk0%9)sLqYCrjTf2#aL=)(n1dT^mQFEKDM27uMjqqH6MCT7qKPVS#t?i}9S zc}^~QV75eWeoB-$;8+7EZxAF(Gt0{0eBxq!mm2oDjK@IoS+zWZQVe#~xMkhQV^#0K z-wUqOSa>P@0GeXHi+Vj{;e)VrzT`H_c1}Q{D4w(=5|rbmj{wveax9L76fhv6iI3Jx z*6J6n+#a!7=-R9#*x5PLK2Y)0eRPcJXE%_NH*UwC9@iI~6QbQn>{N2fCwx*At@d#% zCFO%x$cO6(WXAK)@#F2UHi%0PP|`o(chRp)6iMCQIu+>=1^;H(dF{TfWuFs{gZwUt z@^*fB{9P!VR)5eeIIt7P&zqd+hT`0d*_Tm5xCDag#;gw<(4S5MsdvlZPzYu7+J<=+iLf9B|%Jk~O3H76AHwlMsw$gy@~RaBx!jNT(UoDp|$i$4AK z?L49THuf5CCv`XiCQG_$gS+V2Uy5p~)A0#J^hHh#Pk0FLxyRvO^U@9pTyu+fyS?^nyK1mpPJ?RtgximIts>JL%$N6R6Wm_UKv-gBswqQ)Ky9(eC?{geDzc~X83SJ zV{-WG;Y~Qi?+8^h;0bgK zS8G8AZs`*h!LE`eA9CBBJfh{U^oU-kt4ZPG2Y|tX&<+ zfr67b6>&aTiH)Ok74eKnC$KSS*3{*Kp5S<8OzKj_mGIs;&#!7%Ff z0N(Gxj}qkU>dY9+X1@n%Zl-fIN`Ng4211~|A&3C}Ch(LmDtc?CV_{-~Fzv>s^xq!p ze;Xd)Kj+fn^xdf|{OAt!so_odQn5uv~c*V|?B< zc-^TMY94o9M(yka9Y+(SEEyMLqR@~dszP#lC!ISfuA#^NMVdWBTJ9fb-6b(bh}oHr z*TQr7LDm3?*fy@z^8l!V~7QMz~{HL|=@LG@-O{7_B=3Nn<{c@Gxu%$h7V6n6r2a56Xc)et> zX3DJ?aqcmFF$kY>FWk3%&Jf41L@N+wo&v?`yJKHiW0q zxaon-Hc_FDjEcxrOy{$OPVSbobGT6GPg~V8>>soTLx)g@APapl995rRZA~=5N1iUn zUW|;%-_I1ds=NJUtt^f4zv4<$R#}mVeix%04t<^UpovWrE3QU{*7(wANs5CV{Qz1* zD$G$cOwWc~(;h6;AWgK>6ZytfC}^t@8efF@wZ7}E@`<}K5entqNpxj%tBh}j-15z~ zQ`DJ)!ulznf!8Je{_Q}hzuN|_J&S09x~MolCq(Us?ngEqrpY2VqAA55S@E#JbDDT6 zbo#t-ZF17t3F{^$v>hC|w@OJAa&QM)h8Cf>IrsT%P^q3Xp^-0g-oN`4JZH+If|c1b z#0Sl{{{+j@hqiUeKcQe62u9O~Hw65Or}VsU=6?Kcm|^N|p4s4BEq{t7hQ-SEaH!zI z-x`sz>KjroAN?}GNbxgZ7Xue2#%unw8^Ji}_<{TE+#E=>j$~x{Uz~>{2z4=1AB_EF zQDt|ht*9!TSpX)!YgT7B_sLM8YgT;UQCJK@zO(6vW}dmS5@lKczKxp<+-DqDL#+Csu~5O z<*bi+kUN??%4;O2&p4lLf?ey2eOAWWf2sIAZuRrn!|(>7s)Co zwOo7kXtn>7#zX8971v@p9=K6BKM-!K!1k=*;NojamyR8KT&yWIxZxlm7@PcvI%AMA zxI-t*`f6IbpjX<3lJWdKmeUDDZM1gWHN#?3nET~=Ab+{5)ju+qZ^ey%^V~mqn@A|Hr?Yc9zsKEe zOe$p)uS|QhUohNb!d`nDqbim&9zJ<^Z54zRMcdFO&0Rk*YXaZnQREa-T5pkV>DrV+WJor{cT)OA-$x`s~k^0@tYnLznNk=V^hgzb6Vw z_;|jIQT>Wh&+8uhU${zbZ6Nl*h|*|fp$e;hDl{C@=Czh*Dopw;JRi#%N6WA|GEGA) zHtR56azoK4peTe+`TGZkgf|Jd(6YZex(jLAclf29+~qHlC?ZXDu*-!y|D?^AipCy8>LniX1ArE0{RPy(zZZosJ6r_!7rj$Ft;#8 z+K8NC+cJmogIc!gxAt$QJyzqRoi;loj$~a+ii^K(I=g-fxti}m$B(|ryE(dTUbOaM zwfInQExP)PJwk#Ehbk>CO`U;ejZzGYK0zKR%P;n(fw4$DTeNur+Kp*OC4ZfE!khR23(`n}Cr_A^<2 z*-zbfz!MtxqpB3NPQVvk`KJD&jfjX?E1U&$=c79^GP2{wG2cV-l0py0*|9k`7NOo| z%v#OB2j#%eG2iW3MfhB_>imr`z(bnf=C3HU&*0)SnowM#wBmSjW2IuPPJc`7myFP= z#yT;>%N>3K>!pIFUH0uut9{Dj^~MN5It3jT1X7}dpFAY5700Bp&7iQZUnL{v&YZV) z82{dBwx8lmKW^`RO&rGbKg6XQRl`G${Lz^bk~Cu|L}kFlA;ixU^_9_U4PR;L<4|Kq6ZT$b+@^f-cVd%PK%oynSmcVdm@?Y*PZ~`gu%~`G>S*fG@C( zPg0>TEVS}l3=j9;7`kWzJH#b1({IWeWz)yvl=_-g`Y&3)_rEt!wTKS%ON&7*aWJvf zGv^cNb+tb2@uZE{i5o1Kne|CjNRp20{dM86c7t!S`&pKiUin)}a%imV9{NFOZx9j3 z*;Wy`t*Y#iv98c+RcHf+>Hxi7+oBAXt3^0FZeEX7=}|FWIE}R__nPXgZwjbiU z@g!%S5M$Vx>11iYKY2jJxRe^2#B7cCU%LWLImeF<5g88IXzVqOVa?KF-Sp2bqo3R8 z2FY&zxgfn}3q#KPs;wB~WZYb>K%HW0mC{mmi?UOM0Bl8y1@EJX+_4;gm&PeEDkjl_ z5>N#n_H5dT*XnOrPK^49k>!k$mtXLgk7@_?Rw+WeqE_AmJowCt%y3`cLrG>Hsc-LU z>MziT72X6aOYGbFAqOC$@rBgdX9NYkHDM!`QZb&RrF_~(gt}y|Yz|HSQ1dmbl3^gu zmZffDa5h~qXWf3!g!jymER$*|i@x5JB8cEijWk3E!qdh2W5FkI13AULKuVBJ0Yc5n zsb$U0b$YXdyX6a}d8>er2lCk!g7>iaOefw6G1?**n6;tIbo3Uq?_I+b*`v5B`Miy9$jeB4ufsw-{&=Sw zn1|+*#nQGN1yUSe_fz_6X*y=&kQH2a07FS)BK*j!w5$xMa6BBt``0`&J~4@NqauL! zWuK%pQ7{-*JMuzP6oCjUgNMOiAy0L?X%ytU0rA$_mWD>&+yNj77XbN4t?o>nk|2eM z=7Di4Er^ppzk6^}l?O)+Yb4tWXaR{~fgDR-CNZyad8Vux@qP6!uq2I# z&*-zo_Gi(tqiXNmPMJ|5_BI%@SjX)n_gKrNU9inS3sFTTyY(u8tE`P=`B-M#qf(pZEx-SrrT#fMo5zD9Hr(|(RAdjOJW|Nr%o$Xg+S!*vG z9T>ebzQ+M$5+6%6!Ow_|H%+y|7E9vi=9{V!^HzqYrjGFny$X1Qr;0)VA}ewu=gxh# zy-0?`fL(qBfxI6P9=(-D#7#3(L^4@Fyn>anGk06WxyKC2bCU;J53f7i!3WTso~=1LD8PR>h~B<1^f>npz& z@0?2#z9T5$-p4}0-cb*igmmtH)JoCOrK;f!Dw7s`7|Arf#jwg9{9)uNsHz8ja&e+a z772_Lt(dl~ZHkHuquxWav+OAQ_2K?_HbQZO&PvzU!a~L@o};poOPhEG~@vz6i zg)F4u?{gDLSZF?7Y?0bPuWW%t-4&C)-5wK*3bi$ZSWM3uC6wpFy7Us{m+JJ8dHnPi z&N|tq8TL7t6_)Q6pNvN}2{$RsW*STbmjOpc=2g%D8JZt^R1BPgiJ2z+Z5%S>4KAn39oVCJkd`YzL)l?*G7 zQ(elU#8dQ#0$w%Ws#jz>=|{Z$VLS@m4s3Cdb)bNL=L?a7qCxVVk#l53x=mkUMheyl zX4;gE{>_qSiWkR2zWi`U_7j6wpk7ijdK^v3;#ICw&msEBBm>Jq#p&Qou4&wgGABv% zH~R{)fDRczv(yb~ppb|&GPnB-O-f0BM{P|aVc4A{91c!W#e3>_T(tDWz`Z+q8~E84 z+Wp|9+hqwxaI9pai^Q{9#a zeRcR;#C6}~(rS&!L&~S(A^;ER&-D7H+}u6-kGXCGGKj-589y?j)c)}Z281(jg)51A z%gL8s9$ww`4-IfBk$PKq&=0Qvj$b`)h2eph5QwsAI<#VoSA>MG(vxr`fUvKR``zO} z`3%JYLws5$z?eu$Pk)m%Jid1UG&EypebRX$IK=%gFOX=E%FXCg!JIQp5EjqmT!y&pFn5jg7xnb>Smj zPJly{DQE)lG@xF`E zj3VQWi#>)0Y>-Zstkm{+gCp#kgx=IRYDTDSy$PibSSav$`CleZIweWy^VWB=6Wz9^roXu6CFIODm$P zXfxeP6GdJaviduza*yYr7o+Yw`Yzh_m!Y>;3e`NV1rk*9rBYPQ2d75I6OR3ZqZn3n z^^3yxekKQ0+;DSE|?%v#^Gn$>^kKME>jOE;*Gz)C7|OKZ8kaA3pp zJ&%~AZ-nXmoMyWja`2CRa1Ue=y5kbQIEg-6{l|szx<8Xx-_r_ zTuxh1I*rhVyR&SF8!WQSYda7D4V8I<rntIB zN~%GYcIswhgDmvt=V#cv!{&ASgC6OZz*`V0SOggIsr)LQS=5w0M&2c zc37fAMX1t_w5SV@I0X!mJ#XweFP8u9 z@R^U((Xpf<;P{cR2x})kjVfU|uCA5vb4pEqLro8Xv5!iZNjS~X2nfhwz7WC=Y!GkN z&pp5x4C0^WafrKKzw!2Kr$QZwRy_H&^gvtd(Aw8a$u~yzcEbDQb=z(K*h(#m;Kfbm zvdBZl6SJngNxP>^yA%!DX({r*FhDPd1(N#TBu2=6B~veMVh8j*mJ^(t$-R@fc~{%NUSzuL%X!) zp1+$zE)KWm(}Vreh0aYNi|NC=pz2stEKk`yXq9c8y5OjNfx=Mi%pTW!q_Db4<7ELP zV^oQdu%Z{wDg&CE0RZf!4SA3@(+{2Yu0TtuXukUQEY+gbyVnyzcu}{{1N5L7ekLub zLT4S(HC0#W5PYO@I#hMlS()Ta!yea&DSlrZn-@r!zmL1DtMllb(g|QwK#zp;GSF{{ zE?slyQoK4SH>`Z`?UCGAVjYj@3N)<165T+jF@S9Pdcnc(xh3rvHW&omR#GnBaj@q9 zv;Z9{^m@&;y{7TjHtw0MwAtYd+w9&61T)V`S@gtiXCQ-9P9lYiAJeE%ktoyF5~BEd z9v7a*7SoXB+%qh_#&kH&*4tP#bi6gRw2o#7ah4%Ys1rDxB*PpebJ;L@CI!u}zQ#(j zD`Ce8UB+^nk=+?DmA=xFQR~Yl2G?=c$-T#Ui=!v{`PmnP-yhxF4s;ri_5dAlVOC%N z&#M7@RIJm+lH!s0E%l5IkZ5Ai14q|Qq@xsvwTj-@uMcIU)YMHPXqU{cpP~!=Hlf2c zGTMS%V@9mYy8pqxh&u;B!R5ouIP_6i%X4qS@~|>g<4g9fT=Q7N`J46cIWK zklwoLi#Rd`8v}wG$iM1Yli*o%vfWGW<`cvQ9n2ctf6K1({Ts>{0@<)bE^MV2GT7Ki zF&<8KmIZ0zfC%%#4&n+?P{ZUJAE8~$>2)Y-j!Prvy4>BToE z8*~G{N01GNN8&^EuQ!?g85?xUt1chUmD0sk`qSVh8hf0(ZjrX1m0v%K&qZOhw&asOXz2BF>Fky5K!e#j zM=!7B`dnKKq7JHq*IZ#jXQ(_1@Ymf))~7TdZoNeg6Y6WLYJ|{LN@u2kiBYAG$knM* zOf^OWS!jRt-ye-GnVN=X1Y`eDMu9!;obIUl(Ur#$NZeJHlfhmW!6U9j><9;G0pfS> zE2c#?we3LR1%qgVW(9Vf><@eIFS)IL>Jm8-LduPY#5;y-C%9#Lh#_%L9hT3oeV*41 z!y*qq{J^Pizv>jFA`=KU-rirAf?nY%467X8Jqj)|)u?6i9jDg`AX*RzcV{h`uz~Mq-Z&U6LV}j=5OZDv@`^M zXlb3n4ZXGw5m--?!h`izzpLiZ3AYJz_e(a~=Edl&%+!V|1Ks0K=xQvla5Uv4XC+gb zXji|A$^&Oo-BN*jc}Ov3X|-^qUsmsU($>xWm>)`gZq&aqUt`Lgx2FGSdp~ZB?>U5V z1ef7P=RH4`X_1ZlYP~r3`<$-RiOjv;<(ywgy}oOGYF%c+AF&UiKUsw}B*ijc^{sr~ zgca4tIqtKwGdwh8&(DVLNUp?Ukpv_JPva?t!^2k^R+trCn5m%mJZ%Gr0_RvS8&+C`}i-e=z z;Z8)VE;bs(xwTK%W`{>fwQ6?Tytcahryct+_w#i`naDlqu1E_UW}PePdmU|V-BJ(# z#HO@Tu_*mPmhEXyB*Z~D$c*>f2tixEq?$DqBQweYvoIbl`x#(tqFo5FH4)<5{82)$(qzG*#DMXm^af`qzV@W*f4jYky03pHP73^eX zw%qs^%D4b6WV!AQdl7mZQ&qy!+D<}{H-#a4ZBO2W23dE+!A~bLWH~q%9R0|;*o1@a zV*iUxxE1HGzqj0jR=!i=CaDCCIT8CKf;qrt*N5Sgkwb50X_&7%+iN?GC779A#B(C& z_EkArS*6P)?!0H5@=oCH4*J8&_2^c=c_DwM!o|WX<CeRpw(5~Z9vSj39d<){^o@Og}|XYEFC zV}cgG(CO4FzElpm(ABnx*6a`3H=xZJAoDl^_cI2#0NEqnhL`*qZxxD-R9h^=8kVF# zNW`9pWE&-mQVnD{MBg?tRMW<$%2Ss>R36XYx^uf%3Ur?|KxJog!iWOY#>lra1y4Bi z8hwI99t_*W@0#E?!a%?e`cN z=M)c3KhqyQUY$IMFe-rct)ts=9 z|J8lz$J5r)>)E@iQe!beHj|X<5^#)nlk#M%4mG@3J848k33x$^J2(hcX}^a~kCs7Z zKQ)92U?6@x;54UH?(+~Ww>J=Y&3_IAE zY!^EANefefm9f+2g1&yY)T6+|VuSOKZj^XCJhzCKH~B#L`K%Iu;=UnmL2*PPwrr2Zhz6Hf21fM)kbb>TzVGlx#gRMrJDqG{` z337+1a&Bhqf1b2E3Ire9v!Oq)dy01Wg1A76ylN;YwVZ;?&vSZBFiC|bYw$W(z^Fof zRna!6U`r*2akEHQNU|b4JB>bHsgF`%YI>I-fC?+>*P2@+_N@5X{5Yf_EsKor{4U8n zWiVyzJyYq5wuY$qg(53og5UC!dK^eucnIDGx|MELSt%dNVfjop)5kVGXP=iLAJ@wd zRuV&Cm1q5yjXsBHDQhq9JD&yCVbn=jy#11xkRq#0jfPPC;SEK!8gs&+13^)OO>%ye zLOkEushp~d96VikC}m4IHcaWb)uFZXPNYGx=3ma-4nR9pD@ea;;C0!zPJ}a8JMR-E z+5*>Cd<5}jIYI0jaYN%q7ehFNS@2uMbi;4|Ok5Rmy=S*~W=xKeHj-@ij~!YW%@S{$Bvt@gYGL%v$wD8F_UTEK=gHeT0oD!~U&K42b58U`7d zZDLbpy#LJD`BdYN2n<1CzT?Uda8!Rvv`)NQyHB|?qaAqx@7+VMsw|0FUmW%g@kFgY zQkBxpc{sVhe{)sqb8NEbgBdJssa>XR?5uZYUgX%12a-@sN)8;6u)}-&>ch zO}{K$gcBwWkgVq~d{LU6SNl zl2jsTsRF2uW&F=&TFxgF?iY_9DB3SRv`aBj&=80;oIZ-hLakku{Jw)X2x0X16>0m3 z-K?l*ifGTz!&buUbBaf#Xm2`i&A)}A)*0u>F{GB_>YXT+zyAe{I-Sg50}H2YdH)xAE#PUjjT zJmR(WrGNWEB^%SZ!Do1iq*)XbYiCc4)>6cO?CNEJs32RfG2;;>o)k>j9q940JvoKB zKE?fMefQ6TQtDgsRS))B_eW}iXk3Z4e-;>A6r!wlf}kawcp3o z+Jr4ek|{I6B{M>qVs7ddFXkZn{_>=U@R5V07G+}rEzvr+!Myqm_vZ)ly3x%`jk7m# zFIU5^9b;?ex-orr z()(GJE;U~@m}A=4r_IuE{IHB`z-0%1dx;9hez7yF+_4(FG|_)ovi%gn#+7d7gwf8w zn_mZ;rk`3wZK|HpaBUL5A~WrCoD)3Ly!$W2c5)}nn#AD9QR-c+Y$XWe*xps7!s zG9~K!BKKHk6A5B$ft3dp<*I^L03JAZKud<1>F6R3v|syF*;Yk1Lz_r1fr$M?ym>v*;!2%5%nY8ID^ z26IP7MpcV7Js)nHv77@LU`%++UVdxn1o*8^B8#?lnOSF^zu~1q^C>bNul&TbC~ZP+Ig4` z?q6GBc{*kByqvY<^SkFYd^~L(o)jqpo4jj%WZQDM`ugt$C3Vol&t`o+mG(%z*^;L`yR%s_Bhd;9DQ zQ`HQw*ID4Ib0e>?i#NouZ2B5zM_xZIQ3QL#CnWY!t)Nn0Lfx$RP5Rq~?wYZ7QC^&! z7WW|evT%ZzRM+$9=;gd^$e>}uC|i}hnkj3 zN&Z;qGUcL*Vz-&n@&xewg{q zq6G_LoAzV0uN)+4NFtptPPv31qBBV!4z|N+M&A9ZY-<|K;t<6{wxFZ+yxB5bZ>9X6 z3tBgt4$)6{($S(r{oqy+ns^%P+oiSNd8F;L|I@u$TNbU3-><=7Cf7+qHecWCubQ$o4Nev$$U8(TdVEhlY+wyq3M<#T8 zaxQXR37piP{^7OCDXkVSKZ%<1IerUk<(1P4)#j8h)1<+AS(Q5XgC_MWqS)y#{+k7T zXd0$#dBa3E0d{{i3`)$;FWnlkupO(Ix6?@7!rAHGD%rcuimSLf?bFai&`(HdUzw!% zj-5ymR%rVSqw{@Y=%%mwQ?&{wAU;XHQE9AD+n+iPLi~=Nk=3ei%n(OK5M9;S_GNf& zb#>H@to@aPVXiv8Dx+4Ti`vFSi1 zPa$m4#u>^Nv>w`H%Tx0TQ!9#t?*i$-J>JKSQ0#qZe*Tk~`f?=knH-S8F5ZlKC%=0o zMWIPgs;xKE7C_)~vL0b6ozuHxsa);noBnZYT3e`Dx`MA`>tgklcgm&Z?CdWsP zb5h~{Ul=lB0M+|{7e)VMi2SR=3>Fh@W zl{SxH(DlEJ(pOxN)HGLSVp=;B@}fC2D0q5r=lC$XvZLm27>NvLGxfN>jQF5|59WgZ z{Z0UqkZ%p_jyPdR0s;d2`}c#^C!KzeWY_5ZooZ%i{Co7LcQX~V&p4QuyD>_)KeGWWLujni8 zxoF3)pJUy-y>>1AA=W6>(@NVZK@WNBJTHZ6KJUAkUby1vNS`#Z$-iq67Ae|Cdg)K3 z0ZWd|3q|f$XVjSR#gs`@@yYUYk&6Q|Fweqi;ivnv`@^G0=8Cpk28Y&*zcaj7!o2W6 z1*a7To%O$UVLwc-)uV!D@%0XkZ_2Dw^mGm1uqKFNtFNj?mN`>QOD4;5DBL(>*qLjS zpRjJBeO~x;GJ+hV&*0uqg%ghTT1HL=x3D-s>wINgkTZfSf zoR{Kk&3KOcd34gebcV@W74`(^`h+&0pADzedrlrg?ur!!shBTj^nJ>nm~IScmJTfF zf~Af&ZZARuJ`3#k|8>KYf#5{rV9K0W8_ZYBqlh#ajnBM0i&kzG{rv=@7JS>D2`|YM zK)pwj*(kq%YCEG4R}qiB@}_LWBeYmpS>PExJuk>4Lw>z~fT!(yg|aHzTQWc&9-i+R ztCSE`BhYdZMadqYv7mKfX$HI$osu-*83O`yW|DoGT*+eB2+s-}t+&YV38AA6FX1=G ztK6mfMO}%yH>FVwxM5IZ!_P54Vnfk|Sk+;)Bxty=gPgopO?f8oHVhxlM>B+mSsqte zPXAQ+;mgHIYiME89Q)!_+NJSSq~~rWyq^??cp<3apEL;4I3ZFIp^XbIL3z`WI`ZfT z;GYW_JaDK->OUE6xZm{$j^ejYi5}>nmlM8chvlzXb5?}NIpAq%R4TrT-lZlEGrbOo zv?CNDarM?;{MQhQb-J7phW)L0J3MgdXz8luxR}B#L9lIntb9dC=9&L*761BhZ^-Fy z6YaADQb`jw{;fJx3lqg)RS$@tMR)gK`j1A-(YKBtDVm&dml|{}N0L>@f?B(N4MlbL zmjgbapK+jWBRuz2sX@c&qVAV07D=ezB-X!xfA;bAB@uLBoIabk=CF3QG%GJaCenz@(>ZQ{4(MiOMMu=128QLHH76u7QH?*ay#BJ{XypP9oOhpLy94jq z!xcA=wd=jZkoNZW^xFN%Cpm$8GbktsW;3+5nF!lW_oMuD#vAvcPtfmD9yweU^Xk_T z_u;GRylJbq1PNYIR#w`BtlQ_j!hB-}c~Lv@Fg=DirnPT#yfcynbXGh1yAI_zUiLHo zEDSgtPX~<2>B3&wUsBQGv{VlVXw?`TDoiG>w^pga3x9R^**Wf8ERtre+<#_rV-n0z zB+55-ZPtR!%jd;1)Xl77>_Xo|pE@b;pBvt<68;Cpwex$r^3PnlNnfJILpv#Hzbyf+ zRPd~dl@&}>{T+>{RX@!p&akW0NmppasUF{I5OquyI?PoXKsv=wmZtkd`+(|Ne+C|v zZ$0JgX_lEbrI>hXLt*D+RqWpG((6R_PehN7U*ro5Yw1LcA{==}B1&moPu97q9IhI|}KxWLNz$179)%l^Xx>A?8hbhyfUHecqt zUE~1aC)uCsZoF|B78RN@FKsw?Un4v|Yi{OK9b@H91~0o{m}d%=uPze$=H!Bgmn6E(K>^6exS&%`N>QdeV5mNXAk-5 zhhEr+A!A#Er62mcro?Wx!(BE41HnUC)|GRkY;0*_aZo7Cg~WdY?Xw@>na2Kpg)nqU3)#d%Q1!M@r$d8&TE8ugld=_Kw14qYsQ3!2jl6m$-X>2U_QPxyqjLiN#9$W!EhF(YQ@>= zWfAIUxt|z|ANoNt*yc+{kC_^pF}GySEhOgP@>&i5Emw(I&dYPJ5Zn{%as{-aWoVH2 zmtPBZ{CN!T#yhy})(5dJy|s425&ro&|7-;v>3%0Gzcco;vCN(~^rcMX*|o49+zYkR zMC-q#*S0A^lJ2gQ^{L>utFOO_cf5G`xL%R)9-j~ar!{W0`R0tw|AfBE8Tfz(TXsi2b|a>twYA(*qnyF0-hg1cLQ;O_43?yehmxt(*~sd``c?@~}ySMTcX zy?V)9bIdVDXQbK%GvJYEng7d_O{PPM3_m;%8wD1%(a`iQ??wKjj4;Ht<@AdKoCaW47e^{{1d8eHLLf(=?$YfF9k z?x96JteWHC4*?zXhAzjq@7`3ZPi4Lz%7G1$nzudUntrhC<+$MQd%7RkA3L2NlZ0-z zPZFFrI}#gD3$5ZsEw&wd90*+AvcAuKVzPZ7X6NH6OumR~Wd?ccHXuuFAiwiM!)xR2pFa5?G$RZaGgv!`c58D%j?#9&V(Het0f^fJ`{L8P>lMq&x23^% z0X21XY);WlfW*_w7%7&u#(dD*9scNf`M+9#9=^-gk}!$r0aK_3B7o|rcn=}9%z1zs z4~K(aT24{W#u~+Euof~}ISq1F_)PFwtOmj)p0(3C?75L)c5h+Jf zBs2;)i`*ub{0Zwc)37kg*wd_&3T#G(1_=Rf5;snZz}f=T7lI6%OUA#tYr={5s#Ya6 zBL{`&3f$qPrLWtaZ?3N^zHgSVPan60fYN8*+V4v&KGx9~jT?n0pO}wRU$3Z-i|jXw z)%4XEqfI`9HEjvN%Tmk)L+z6Cs*%X@`SGj=wZKrqM2H&loM7JteA3FlWkV?JNq&uH z-6#9Vag;+leuSN#acJ@0da>Gy%ancl&bdhT8%h7`?JZxB3cOfgiFo*5_6fbRvEk;` z0}GGhNiU*1aY#)dOVOIfFQ0ZAx3<>Q#P{5+QeNHB(Czwh|DxsViCU|_8~eSX;sD7L zhL1XMN~!re^ZR=?|2xgP%>(5|V+?qMbwJgJmx4CEEIl0ydB`O@9!3FHwz^NaIFx1|qR*3HzOG^=mc$5U-=L zIOWHf5oXZda&aX&YmzbD>L)%-JQKLc{fG^jL=aH{%+!~_(_c-%4E4@dqis&c2qp;_ zY2GguI}xpqrw&tzp#FGA*}e|i^1gz7q?n}*MCf{D^(jK|u(fb>*{cg5__tm5n?eWi zdqkw~!bCG=yIsut0M^)Iw3L9PhsQ*JIb`N6Ng%qP$x+Nmho# zYIxXgr^^wVL0u1&aS-`trJ?f+gg+SG`VXl!zgle2U1Q!IPUb(52?cIY|XH>7|D@T2k~h;pe9 z*o%{A#nwa#cBDs$5i_JWDkpm3v^i62 z+fWU%h~+ZYk{d)&^BA)aDBql&c7NpI?5AzgD%w4a*3&eNKVL@G-ww}!lKgn-Nx7@~ zk4xtUh6AAXzduogBsM)vPCNEI%DRZpV1Lta;8jS^fNi}0yzI|O_i4l8Nxq~Fq)E0C zvuw38fPE|eNl+-Or@F%I%tRmnYYg!FWB91B%mX+okGb&q=InfK* zfvj|F=CUpQiWM96-z0^8PgT=U|DlC_ykLEvdo)UbSkKeawKGU&Wb-fC-{)8fY{lns zqj$GBCd9WcU*1^L$7BE4n*#Oapkgh0K(=K1s9T_c3MeZ_{*Rvi_MHca7Uf@P{lS-? z7Xa+r0MB=R){h88+GgXikX~tu(Tn*9JCdyFClCjMlIIwqI^X4Uhq0Z*F%@9%;KxZs zcB`)2=|`%W@F0((pM(l@+W222?QV(6{&>Tz^bND!^_ouvb+GfAC->=+wwd-RE@i1N~za^nok6XO}-+C=-PeozL;U*U$?sBt%^>gwecb9Ob3-VGdTrlbo9whwsrN~?p~27Dx;4!{4NvJhG`pCeYYl*l+iRCKU6g2mXt@L##(Up0bQCsf#GswnVs%S6#EG= zMpUdW!_K@{=mj%Yh!tF@3CZ39%-A@gPdB6>Slo?5T~+#RHAk-9W!BZ*yaT-FR^$cd zL(eq+NI&y&*zKF{BeWsVhp~IB-gagRr2vVN(mf=RSO8$&cHO6i%kIP$WtuK>Rj3a<5l07ruFomLtwVI1| zC)#P?@sCb;>g}8>s1Q8lnNM<)JPn32#)?{~i@y=EX*k1!W>p1(MXUX&XzEtK0d}U; zHc3qLVC62btJTO~Vl5_x7*X^9{(j?${@V!TU^b77r)M{>>*rdj?a7Et6 zbJer`@B)Ctxi@pg*;_!aY=-{cuFSPAxAn&~*#U+rpxULo6rocqZalNc=J=sU*+$#BS_Y26>{9b!v?H(3R+C)Au3-L?J0L<7ElTuSm6ao)jx+Yv2VWy z<`esOi_Jd2DEtF&v3s}AF&hoe;)Zk8wTX~&)aU@x7GR*LMGuS#(s+eIdq85_h&hZ* z0^nwOm(#xa_>v`c_4ar3{k>Z5?Wj;GQ=mx{Jtx0%d+lIfV#)>_hYZ{;-g9-hGl#0` zo&DsgLf5EbWsKz`nCtJ#h;TS$!cxwF`T=pSztRlIHzAj11SWOVaKqh_>0<>HoSt{y zG*1{rNXl(q+qZ`Vo-17=KgHY+H9@&c6$%lHT^H4M7D<-26)bj;Rys=}qC&_@CY+Ls z=Cy+dX1HA5F4zq*`1=x{Dqh#&->)a%!$0=;-vB$Es@mq>fn|Ipb&-x#x*6INueXnP zP3CxPx>*u5SVmVPm(9LB#bxrX<*r?V4l!ks840SS&HhWD_v++aKDaco-MzDICRf+^ zTahMasyH|iYV>rY&rBK76EDrUP|Q%#KQv%xEC0nSrYf??v8Q+t4kjbCQM)QU=Ed2Nx z9k5mqFsYZYl`hePkJj0>+7v-zd;2)uH_KV$Ab zSWL#mkR{^Wo@eD|{;)4~R7V)A4bi8{P4Y>(*E4DKWn^XVj5L=u$){#y=4jCe=;y9N zM(6HkUtXrF^7qdZRxlr7Cp?TerT5x*o~S_g2NbZB=*Q(*^IxiGjTHQT{S0@}`EijW z$YcKzy1@O#X;=}!ikuB`<%arSudsK9AHP0ld*fmKgL&7w*UvFA>9v*?TbQ}IN1va$ z{D~NWI6r^-N0Kp6=vYH{vlGFfSfV6)OkJ;Gef#dl(=kbPtFI!3fq}u{da;%pM%!q{ zmY%`q{hZ|+lAGdS8Z=TKwtjFx0e~Jr8C0aI?EnuN07Y}!`s0=}J66M4?rWo5K`bjK zj^qSU5|9u?%+SwITf=@sA=BH`nU1s&I9Z3WNsc&_<>P#Q%UL;CdVQl!BlrT8QOWrp ze`&C>ng%po%xz4PCje-4ao*Wt9>-%Ij~7p7Fh_8E$~tk$aGL4&moJ5&1Kf{oXDjWk z?AMtxtI7j;+kwgDhA90bE8B}H8YlZy8!sRJevL!`y*%`NUXB&#JhDLvBgA{`%ZCY? zah^$ykpMrFp+Es@*w9N$yA#+aRLX>zV++(PW))@ptD(Ao{Cd`bUfvaSZiO0l?F;9k z@o5z0K-(*1nT+;fQ1a}{e;}OWg;7i;+hzz^Qd{pkI(^IstC@{w#g&0sq@OW&Hd|P| zO#`>3qpaM&UKdI)3aI=I-;P58 zB;vV5z68^?o@sX!RC|{N$E6|>I$jBy_?>}z+`0!3;MULe@E-8^tJQW^Uqxb}p9Ph0 zjnR}vV$mcMQB3-Gh9p0=QpD0GFE!T;j&@#t4s*)zkr{NJ1@$t*wY(AFCbKJ`C+3?* z>*YCeHcEPzOvLW?zF0J_7Al|ZG>;PgK!ULFj8cGjOJT|u_Rl5iro2~WZCm6M^Q;V^ z8wH4I*CnJ@wr4r2&k%+>2hrI-?nZ`m!j7Nlbh3l_4}>fQ9)Bl|YyJV-_d|C9)Tdl6 z((c$DsIIpSLT&EV`D!n_PVdh&56urfo5&{34nQjF9NJBf1Ij8{uHpsn@3g{%92Sh~t__SjN19myITAadw3Sb^P-+@T5l z?HwYHsz#ZCNQ35Qt<>4sx#H@?%^C{>c<;@3D;m6Pu5Oe1!1LIuZ@7)bm%`88h{s|< zWD;Za1ZS}_la$NLBl@e2qk^q<(;(zem9xcCA)kmLAcVz8e5?ERA1dXkm44$Vwrgdz zM}1!C%KHgIiF_V@-GzGo1Co5thZHFm>wYakDdlw`(D5G|hjGr7e$1$tSO<{fi2 zma(-Zc%kKXW=m?$?D@@dGfSO^c4;O?o@W2WX`cuoWwsm^tMauaUHk#4(~ia&Ly+7&l?tfntT?(XbPffCi{IfCnAJ)7ZV>fB1R!(z%CDxM=xEO z`brTmsX&#?=o}Gt%lxJRTMpY`h@#R?NB0d;l_G=sWE`^GCBlDpOY0p{QGje4!H$gk zAvete0TNt=p?tcuPQBFwUkJyJmRGemB>Y7_R;WM9g+<+%=%EX($z_}C@MGRRZv*S8 zooA*?gbd9<@5l*9n}*xjVw~$P2=e_;%<&Vo#S>%(p3SU4fRKZv^sHb4U&mX`uvy05 z_;4Ea5}a4B=dLijOtlImevzr1VS*-=47dbRm?g3aM##kVXpuzidfv1}9Ejb`aMxQ& z!C;2almsyFT$J}WD;a(XYjyuZ;)oK82gC$jB?Z^bHbp;bdAOv>a z);xI@pU~E?*?4PXsMF>~lmYCaIoRZJX??k$5&~MR7l4@{wedCaM9T+e?em6_j;+#W zY=Xv&OtAPbTmyXU2wyy6)OMx|hP{@c{JWey;xsGhWlVqJEdXZRy(2>^;N2)GnqD}? zD$AbP=2ma(SY63*}NF=FVEU_z=Ge+8i8Pm}ZA-**8;LpH!; z1FH!}^aNn(SxpBkGYfLM<%+Js1{(9Dgu zb^}X!RM(Tf=h@c-KyGi|b-_%TJ2ccSpFoz+JE2(D>)J1G?;@(*GaR?k&g1vwzJxJ> ztlJX@BLKEXxWKMtdd zEnl<*7?^u&j@#z*o!`8(bYAUf!T}1Ht@o}q+Nw;UVsHM-6p4+EbK#J`;F?4X5Bmj~ ztVcqT!B@BzPjEE0r+Cl z*Ato`RD_R@^L5pDJoTidr%ua@6ZZiV^azxVg;nbhhU^Ef@oZV z#h7f*=>8=m=-#6b>B@OMx7SO-tV$d)rlU7b|2;Ci0n~iY$^CL>Q-tHZ{8O%RosiaU zHj@R>L88w#t?9P}w<-9UT$fq9RqgfT`iFz{8=CN4Vq*(Px_O-vhz{ido0SBd0C0RzY-YfOMe*$k_wd|5tbF3GVcPMyToC z+W=U76i%yDxzOt9XK5MP>iJUrWSJFi>rWYxy{Ls%Pr$L zWe4<}b&FX{^BOyR{Q7w?1V^CTEH6E+;G*-u;2>Zn;Fi^x{A91hy+p~x#B?QHuGh=x zl@~S|kH(9>!XAQKPFJ}qEuanQ1x0_xrLF4__g1(V=tB8*WF{)Vn z+Id{eV(yn~mX2V|%J|!eQj1KEFCQRJZkeLNN&M$5j_Bsb+Hm!y4}w{?=FZywFuT_! zOS-0tQB~ij$h$-PZBMXu7fkshR_;H4Qj#RTGyRf_nOyK4w6jV0jPAnijE7=&lp^V? zX!R9=RsZ;!Mv_{u$Sz#AHDKnan!4sdq|8*#LMigC7u}#qadZFIk7sMZa8d5#^-H^T zj1%+t^9;oUh)2)BCvy17URKxRn&^4dhD3K?!|@ACGrxQ#J8!V83Zi$+Y0KYWcs#=o zE?1U)J5$f6AP5eeC`eWQc3HmVO7z_Z?UrxJIha%CpdUKjE>-~F+|WpVE~S4pV(r5t z(aZL7avk}3m6_4rpUj^0Ae~>QpI*HHR%B%y!Dg$bzCNrZMLwi_fI?@qS5nO>5u@|b zmA?>xl=f{q2aY(8!n*^~rPh98ay%{2#ZwNZ@ZA}S6a^twIhpPcZ4J0O$oh@gg#lhd zA2Oa8a;pe9Ka{iSkgi+C7&=J75Qww7<4r`|vL2RHss?3d>nJV0lZ%M<*D9g~xl+nG z8XqIv{gL`hy_7pL{5qvG@~EHYgBcJI)bO{U_xWO>`U?kOX?7~tsqbl=tf{*}j9>_u zvsEna-;Z0IS?WQ`xx;zZ>FCP%}AU&h9ZKzN~h~Az zpETg;z%QWwIp;mm=KLH)f5l}JP)MVLRaI3RTsBB0Agtod!S8-BG}&BJ?-$S87OKl~ zbWTg~-e$ef&~&x`%>uE(&CdG^cfG6+(O^#xiKWzcC?%)yoMnp{v+q>OFmC$E>*bJ^ zi|oUY}gp)o^QL)xKkE+_CjRg4DezQ;XKqdNv~1dSxA(?-|DI*Lx6vGKT{ z{O^zYe}4)=n%q(z38w;FPwD9|G-+;sT3TVmtxW?(7IZL+jw=0#LIg0MW+*`1!sqv&u6umz>0~VSI)F` z@OfvTqrR>KRNGJ|+IW1eoAyBndcRwZjE=!uWpbaEZ2rtYj1JfsQH5VGasO&zQb{Fv*{CbkxG_HmSjG=abfqd;?1R<%n>YGD|FNkp%IgiRkUuN&xzEC z&bPC;c8H<*7Zqj7DA`J@KqvyDr2R*#P~6Hr{i*`KnEfRwqE!8*5~fJdfh_nPkF*M< zT64Q-Wbe48^LJp}DV>(C2BA9jXP5v?q zS1t<8)(tkO)xpPiRpt|3bHVQ~`QuicUXOpYg_o0ylmAo;?q8TeXzXZC&Ej-S zH;r6d`eyu4^=QG@Syo2+ z)@%?%RaAZ@*o^UEwYIj-_exd1a3qGIcoXh6ICbPFulHDWJUPu@xZN;++)wCb z*@c(MZ64{>hBSD`?gZSlh@PvIj?fFqY>en3HtWV_W?1w7E>rq#jA2}8Rp}c!xfe)% zd;)k=;jYVbs!Prmkp-0EX4DQPbnQ)I#j}Nrx1n6fPONOFxO1!Af%d;nTZLVQz3hOg@^w1U4ekvZsV|@wuHys?sPKCE zn>?V+lm_ z9N{6nq*XLhH;mo9dGH$Hzw~_1I=wm+w*TOkkA!T}?G($O?Lz$AHY6l>0=E}Dl;VD} z%3TmH!4-v&`@!h8v1Dy`cwX->kmkK;lOEFZ4`&ahIw;H#C$yqxFE07Vi5oBv2 zB7ylFJ07o3v4&rWP|?&k+G9?gFTJw~wBwc`3Z=iW*x9`i1X)Bsn}FYW&c59xI$!AO zc3TGaRrFjqq)&caSvE8_#GE%lU2#cZ5)#7MwbKU}PU_6&&0AErw?}~pH`LE1$m1o7 z7-VK(5lrm+?4@%aI36}m7ey34;|cNvI5f8{65La*+aycwFR##_pPktOj(q=^!GK;q zz-V+YI`=a5@gdlJKs<8<99bUTifKG(`fixnxx(6UXHIXq6ND84Ti5rb&0m*R(AjWh z<{kkpUPgH7RkCow1aV?0aLFJT$_Z)Y0?z_Rb5SwT=`tp%d;Eq-bTm?vE-Z2>e?MHCe>U(|jr#Y?g>p^QD$3+(w17-wqZ2rGJ127w?-Zfi@tgQ1x-MudQhc z7vLuauCAC05o{x`xs*F?hBs>Oj-G*=NwHzE>-h$)iv;nQ{%s-#k52NrjnyUXZ7iMN z5d|Zy0;wO_9tkyw*swQ0G8-q?@;j7Fwi;|xqjQAdt(}7`og=7)UZ>WT3BcpbT8KTg;XAU{}ZRM zmJSh?mE4Ur6JzVtf@{W0hX4lkgN=V3qoe@(QsH|5V3e9F`MbKdkEu^GFiXA!PK65X zrcdJo3y{|wc$0xE=Py!5rJLZ&`lqGEv!BJu;?!};IF0sITfHs~D#YD- z&`W%iTD8o@($jz>;H7W##2Bras0I?`^)q=llBDlZ@>9;G?cOsWo?s z9*mt%oq%2`}n@AAim*#S4j=?cIy8jLV7ERV&U6{_LnEgJWqq^ zkUo<|)JfNN5Qna7zg1SutZj8u zL*VH%S{!+);h?70oW!z|<;F%^7pt_W99(TpThB_lab1P1w`sCVtzl+N%rBfWtXNs3Rkz$2ld_ax0cKqTCoi-~5R<(@xJt?RNfbN|H$3Yz=&qMw|7vEV zgRODJ(-EAw42E=n9ksG4qskYhqeh#2CPZ9_Lk5nMJb}cH-Wv;>^r!XK@Cx8$dd!^VH6zCL+P3wQ*QrWnkcP!aXKEnF9eMDI|7&bd&`~{K!pg zU*{{K7qYOi{@A&C(qy#~Q^KBbX zL$tqG?9a=dsG_tCzg03WYUdRuAf?O9$vRL{jT%Ge_Sz;r7C9S1Fadp*Ac7@U$Blnr za(GnlJ?8Sc-a03U%fkw3jx?0er!w2=@25ZEqQ#382qbN?F?TCC+U?_G$EY0G5hqru z-P-~t2gTT(jDl8Tw>$K)=!}fo#&%|xo|^m}J!OJzHo;;cO}C4O;s{G_O-=!9xyzH` zkC&<--Ydm*kkta)a$939gW=_i)%^B~DSOsnMJF;@fKaIEZCfn~!J>zX0vaGds#7VY zCm2e&_1bFM{8~(F#Q@4Vq4C?_3F4&~pm=Jzhc9so*DwVil-wEQ&C?0QUUf^8Qk2-9 z?w6OI6DPg)hLQEF*yv`I!8zAXm>N{XpOf!J^g=QDESSi+PO2;^k2f5TQ~$W!`4)P0 zRo(t3Sv;%ty2TT0J>@pVXGeeJfiGGt+j-P`C;AgDsL|IW)|RhbGJk<0Q|{(`9JfG` znkJE%)^(8)KVGyCQo-C_w0KPh{?=}WyT}(%xOhPY>4kRR4&rhN<2lRqzC{d;Lyh*&9<{i z#I{kaA>&|R92X7&UJr*NdVfkjor;R=FPU{^5JqVqkCx+-cT{DnGF zh}E4_p7jEC-`59U6ekBM2eI%8w;Mm69#Zhy9!C;pE49nSiKBl~q;Icrn`VtR5UlA8 zFcY*Z^;tq%*;@ak!pIs0)Nmwz355~@VLfm1uip5Eto5a(f5ATguhLR2H_)063H;7(z%$85p7Km}`$6@tB8?JHB4}mq3w9UpzWZp;@lE7CSk6)0Affl<0Wr) zcP!07!SKKcq`nX_l=lg(%veEGMG%C&ctHsjlUiC3!LeDaXhlZ)-!E``r3E+G4*RTyek2X{PK-Ynohf9auUbDI9^9gk*5|6xBc2cFul^Rq zey9O@HZ^pL$7HB1yGmj-bBnltI%LbH^J?cwb1ChB!h<<8d`V7B5M;r{8u$Knd zn!H6N3y@5MisHT*r2=@HG3sOar*F(=AeT!Vu<*n@e5avO&IM1}f*pX+HyDNft4PO` zf;+^<5-yoS0u2uaT%AV9IBoSChy9}uJOZK}L*q~;11NU@2T=HVA#Po5{ZCKVL6@6x z!QiMN&0CTKLee%eg87j<23^WPH=poA5)Da_D>Rq@_lj?8f{QY1O;Udcj9}H1S{|mI zz~w-S(wNH@7h9q-S|X-I+<~CyzCNYvfIiWoTeB>k!Ti>fSm~lECG>s>N<+g!c!&P{ z+A6@z{ot?>n=mU7O0Dk=05_&hrF2-`>7YG`fc2 z!m!l7430)k+Wf@+%cFp+L)>?hNKbbBm(a@k&AVc;kc;^RNCeDNM4Sh@N#MDjssoGt zM7wX=3oR_f`EO~yAY2y-crvI+dPFW)g>YmG5|T{uS-7;lQi+2@IY$FCjQ(FIMnS{N z_9OEosRnU~zE6B0-&X_^g45;0ZRM!@R-wF<% zn15vqLlAu&{d{ja-z`Z7^LJhC<`I_t&=N~fgbV}VA_=`WbUPZutqI1UYTzR3`|l2Y zKlS|t(j`i!;acxI%!LNf(xG*qiY;o;|5g{4>+i#bKcR>U7Uc*Ae)WtZQbrT-`3k-$^^*P^?rNfISW159yBMUr)`)=4%MNU31QQFQxS=yfR# zn`HNTCua~37aRH0OXT{LX6Fs!O4cL!Ul@GlL%?UbEIWD5J2IQKD#4K+d8B^F&E5VQIOd*26YRXUdogi#$<07i-E4#LUJu zAlo#2U9OyvWGk+!i#|;I)))j5wAak&o^y+g@UxW)aviwS})tE(`4-;n%W~k*{55!J(3yU z-u4_}e4gHgAuL!n=P^(s=33a#_r>)ixO*C`!p8x8ETv+lh>K~YKRZK=1>J-pb4ioH z5o;5Xkr9!nf(piuVOJ!SP>3zr*vTh!-*%DdE?`qm&ffj-O^UxKt38dZi?~n9$j2wk zaEf87R9r^+h1`-`-5MX;txqE8`_@PZH1@peKHBpn;6LOSA?Iuq6#Is{LR z7H&mnwS5GQk}uJ~-T=)7W};y1f7bM5`1m2s<6wDAQgg0x&=5FVh8qvwo+Z=I7 z(98hLxn=BZRS3xGDQi7r1+ zMC+2+&*+;whCNRp40}cEew6tRZ@DFwi$-O7elr<3NWo4gh4XSbh41L_O8vO`cz%e{ z9!Q&@v}b<k1o#BMhBI%4ma(0wIcI;suhl^lx#pFyr#j2H8*ijX@WEGO{`;BD1U=&nK3_ z%=wIp zeaGGPpojhzR79KbHR7=%2Is_00l@Hq;C3v*Z-+pd>5G}o9RmlD1OAt&6qdedQ`=l8bM&ac7re`#VLoKKJ`jhq|^cx`Lsi2Im zt;#g!(+(lTZtjv+kO{{`Ge3>8u8k~Z>jm*qAS>u6PMS` zU|Ag-H`Sj%7?GKH`W7xI+KcWWOk2mB>u(M0&y@^HHDg)at(dH+{1sN@y%%p7;dw~G zZ_ylS75-o@HH2nWbP@XpG|`Dal=bYqelNJ-3VpA(4vDIVA3+sCx!+dTf~FmQYX$6| zCKWU*?RU#o-QWr38E3d^4~zdGs0s;gRLdsi_o3kdj7SZrywDUc;fU? zhvQyYhI=9?;yzdsZKXgYK`6b8F}fSV@i-j2KV#^2rI7qjn4oxk=~*Y-z-qaMG!jlD zCT8}rfdQP@Z5BuSxEP;zFw;$bA?DP*fb32&S}VMzj#F38rwKS9fB0;1^JAr?$lQu< zE;R2*#M|g9@>!h?6WE9f>(fbDjG5RK^=R_9hMrJ0>0lCOpUH=hDaCb%ff3NHi^p|YZgP#T@_WPfGIBg@t8=w4_;pU-r?=hQNYU}D`CW7$r@}Xx5m(5OP8=^+TX+9Ucz6d$VvXLWO7K0F zJ;*C39!sGXrp{nl$Wf_iQ9^-YIZ_${OR?;y-_jIM`<*Y? zAD17m80DsUmR#$9`o~&-w!KWRTK%=vvj}0(4|~O$ys0`5_#)ar3Z#$+C@! z72^Bsh2_q#-#6RGx2A|Tb(-Dx6ytS@A4vFX9>G{;3=ig5GyHD|Gxi7e(>X@j%B0GU zP$9wdm0|inKU8cEDq6Ko89SK75y4<(l^I~YSw+V9zB%G(e#G`ys*0zod-z49MLw=> zzQSlPUU6;2zHE)SAq%#F0Sh(Ihwu!%93roVnb5xMO!RUe0h)VJcg`-2X%H=P?p%{$ z@jn3(&dSBzh51!hHchS9BRtKhZ<6z$O&PL?GiAYl51U*Hf~F!=#+8`Hdjkk}_6wiZegVxcN(SlC8KJ7~eooK}#$G?riPu@K4`o5rw8s+EYeiEsTL^%T)Y;hnw<-%PQ zb=sy%Vg)BqN`77O4p)sxtlRQrpZ+dmXk-e3ltv*B>zaP`p~OM7f`8d})+^V4|+=YtqTPax?{4-SBDv6wlQ_n&Wrm5pDB z>4eC0K}!#){Ca+Lc)uY$>(-qpDJNDTKb%r|O+GzL>?lcd`Gi!g_QP}S4JeLf^Sje! z3$$_c&VoO7zZ-wH$1^+}Z{LFKD!0A3u$+f}(}2fyWe1qKo-x$nGnMDD;m1wZEjE~l z$457UUsAPin_BRA&-_cDXJ!^r zthn6;WpUWwUlprGr!GLE{^`N=zGf&8X~&u3zeALC57u3_gMBp9_F|ijN1jO8$?fz! z;$@}jd!t6kec2*w6j10S+TqGnYL0`s$sYrH0r>eSVS#nGUNX`dDMWB2Nj8-zE<*B# z4&dq&?X8`o5{_kI`ILxln@p&G`P6p%*5)=0!-V}G_K#QQP~Hj z9*HXf)&~5d-<4_N$z?M=vCgd6(gQQ05U9sdT?{qK7do~?O0)`Y%SZst5UTKdMjE`eq>Kmb*s^-srkPYaXS zAMFYP&`|tkCotJx1zN50)j*k<7l~^e&$JRVv}og{HU;9K#Cl@bVC7e;G0$!~y{s#7Vvv;dw?YyarY}@sJXT|@V4pq(i&!q9+&t8qp#u(=7V|@lx zM_usJF$LR1JGkY%TsM&9*P3(u3Q_&~%bY=)g{AS|MdxOReVBa*;7w*d90Va%#xlZ{%v)q|Izp~C_@1r1lMiz~jNjL75@R#ivH@2y z=NbR+RTKv~Klqb?q~iaYp)Z0=L^SAshgT!<|G#rO?kHRTJM;gf@%}G21ATn`BmCKk TU>yLmV76%)L?F-^n3?^q5pT22rM_7lWkr13@HTX2xy`K_k2ioLnBo6#pTh@FwMgRQ-@ zt(7s2tJx&PwyNe!4 zrfNQ-_ZKa7@UkU~6r&k*k|d?108%P>2nHIJQeXk*2i+M$!p90h-#PGQhNf}ezNoUC zlte<|Q0m0Q%ifIhPvHoRq01KKeEj-x_3QWSYE!ifdn|3DAJkkl+*}ZUG&C-5&Sr4+ z21`|@Tt|6bW>!yjFd!v5!FY5jO5{D0nRLr~oR*BM0Zkc|I1Sb+B0 zpW%OwS|k1c;nX~%!9>=XdPkG$$T!@&o?E$>r}?77`{zyjjo2HRe!fp-C9x?-H+oE3 zM^9>PrhixVQQ2HNwjC#w8}7~3YBssD?v%a_a~bJ8*|YZ}&(HJ~fS2h-lG`^|?r*dl z_#70c71z#D;Rzjzt^3{&7mks%Kb7zD*hmk3xGsONcI7a)D~56 z<6=bhs7TXlU(0q;afQo{x~^l-vpA8DV2SSAh4~d`gNgjFFotp9{3rPt0vqiCD3{0I z+P=j2?3!F=K3q{Rc%KZrP(SP#JP3e$2^cxtpVzff>ePMgk>_26ZaL0`d`}L8HbEpy zpMRC1`6>f#B7x!*sy-@IEt>85juy7THLPl2u$)Fwr)yAKTRYr;RM?=o!NStyb`YZc z$Rg8+$J5Iz|7>A@|06^UN>=LOcV)jgHpa2@=}A-%fx9;T`R?pzoAMT-a=*JB$AMS* zD-q0P?abxP$PoA4%07qvh7IGzMi;(~G^fLr&v@z?7k3AK)b`$M~DczyG6fkBTRJ ziVs;Clcr90W|}P1YjPOoo?gMRcSnJj>V(#{-R-S;=1&8UdL6V7f7ADT^+DvyRM-2c zhtFX}Y%voBVmlAR`DWnDk2s#@0@tcvix#8_D!6fCYr}xl?>Fu+wSDu-vv0jJ_rC0+ zF7q7OUu>!b9!6Z}zs1_Ro~Yw+)I)3nR_cD>wH%o)=%y~b(a(_C{dYLE()Z4@d7afh zIga3v`gR4weIj)!2#1_!h5CM#`g?p);{$MBCPR9J_UMK24!qQTM`t-A?t=iQsBJm%k&CAo=O8 zbM>!I5kb{@w`Z^6>jxr)Py7QmI*Pk>BMqj*dV&UBT>px}{kp+nI||;4yuIgBeV;S6 z-I+=h>YJIq!)Ui=lo+97OtzL&Wklq=|4p`lKtOEaqGMnjolYodL|;T2+#+k+G;hh< zBSRkJ;{J}Z_ofF?NOgM{D%!oHe<6S{txW#J+Q9Ktxo_s|k55bd%9UtJBQ?j>%!d@FSPlfHf*lo#!fy#4}HqGO2a>7l9`|t1p3;n@z-!o=i@IC*Kn(sY1ra2e&*sQhvXmW+qjYkn`9kopP92WO(GY z-t0FOM?ch-`;;Ev*wroOEuWRSsZn}mkG`=fJ!srv1O8}h+J@a6v>CLWmD-mU3+0r8 zJAuFxE%R8`Svn^285O=z_4NZ7p?!9vWs#m+-f})SaKPSt7^q)u9<>CsONDFifFxEj za9eay>uWxP>zqB)(9Noadp_LXd2WoPbNh{NIqR)I+-`^(oN2jdLH2ditb8!(B!(_ip=xVxTIQJ69!QKxbOnX_G7)>u@=$)+ZhDIGn0($IS1VQDFY zcv#W<%eA=HKH$FE~`mB-y^>4 z;V8zhq_JhmGg5QoiwMt7+Vyr?6+@=CGU7u#T-@lUgOciz@#SlH9a9^^cyJqd3F$@s zd$xuj=JPqW0)9@}o{l&|+>7UX^9Ue!c5#VnI!MsaFWjz0^Pg`1%Y6xIlfl(p^T|lp zUfptZ>c>VbBa+|Y3>obpn|lWCK7am*OuasDb`dXF%tTd9ggc?_d zfiNuw5zFvvc^U833!zboEJXkrMQX)N4~tV%!E!HEu6(LSksuj<_Z~tQ3r=bi2S4K1 z@}fuKO-pBNLbr!qm+crL{s1G1Knd=hU%o#t>Z9jpz0qlGeerY9yoJB=VSp^OL~2vIn86Ff~k0T+Ibf8uqq|JK67 zBA2C7^DzWJvL{yV<=0_zq@+q!%}J~yt-Ym^5` zhxd9-uB%{4?OdZmpR=;E2KH)O+f=FH{OCIr*}0#Qgjg*-hX@Ba2dkJKd`9>;R^l>m zpMz9hrj6@wuVP7a>?KXO0U3x+A>@wFyX?&sEp#lSnHUT#(DwJOOg?}WEnpjVZxeg%2Kv5#`5)kl!Z;}5~V z`&;=x9n;omnZ9V=5U$^?8Z4qx!3`2U&B9v+EW&Ph4N))DcH}q4fi=Thy`WA)nZ-xm zRNyvlD}a&E1CH`a=z25f@_M>08X%};XLQ4-E2(cz&KC1CeMs#fe!}KIHrXwh^!idg zMH7oUL{x5o#a*m*3xU9Mh7Jz+2YwGXY$XBE&}37*uR)aBd11B{O$w}1xrEI-^W zuOaFmWa9ne=2?h>=pFPQg>V|-hxp6A{QMaM@52sBoDc5$jUPbw)t~e+L3X2TK5wC9 z!SPjpeZbQ&eh|HLM(|hB>#>-_eg)r83no(KgY%Up81c${pujP&dxN6HVC(L;@09s@ z!-M;vxNf!Cda9@h+Z`Wurq+g-$96_>`Xr#Rjku4(=`o^e1sQ4fbKZdRr|NTIDU>ma zKDx1m(Fu4^SEI|0!>rl2)tZS9U5H#Nnx@nn0rU+EW~U*wo>yf)Oa|zbX#4T{;D)nC z1j0PiZTH+f_De$htWqal3&@D-h( z;rS?)*S;5#e}32bew`!ff{uXZuOe6H!97CQ;PZ!75Ne@G8*x$=kxY`{2OU1ZlCXNPe!FRG>8!l8PP7dgUCAq zLA#=od9A89is3JwrFc~a5o7x%;pgW!1^tWQX)z+#jICG0_QrkDlwk4q{-ZwoP7pbV zF#vw7Ixs`fBwPX}7(8#^*7DaT9iaD2wS|J2?AeU%6*SOgWHJ+_UBII81K%pD&{6l( zLm@l~35kTD1{1`om+S0);oy0x?(Xi^s;)B~I3Zc$K1P z$MabW`qbf00EfQUTWS}Jp9Wcfu79du3B(3vlXqo+xm;3+DpQ>l!R$;X^5pA5YqHYF z#$z`Z1du_kDtpO&EoyUnyAv!+U)O1v+kH@HiSy&#Ut19j$mZT&590ekI5vZ>x65nk zgh~ilU$e#YtVSOL^09I2C8ALA-JMQ2j=y7w!j=ON!%P2FW@W)?w3IBIaUS$(`)v=t zx(*#^jD(L6{i$xl0f6G3y4EvRaBf=%AkJZfY)y|v0r@po9SKJiG{h<$E*9O^K%@pK zTQ9(c*4xGw-Ik+3x-}eo@$1|Hye%tZTL3-xWe>Y=05)4aWK{G)2sG5YDVZ2iD_25i z8<0b9D%P(uhJfN+Zc2+rAgURH0vv8B_<1f|{08|e+IpJHZglc@7(8kze--anO_mUQ zznl56zO{NppS~JQ{5!*IzXKqs&IQLl;A;bJXpsB;gL_;=lOzp*Z@}b(;2zX_o!OuR zk=t&qC+U}wZI_V)micz`^>^plNBS$AO$oxKCq&cJ66iL@BQOyC!lNfVUF#^g}zMkF=V|a}>m& zaG6x9Kk6lS+(>sb1|H_xeoad@IIg?-PSWJ`;^JS+27*hYI?D-U_Zo-@Tji~kjsM=W zbpSvuI*)jvy-Cz{)eKkQAuc~<_3N((T6MsZB(Jrt^gE_mp(%S3CsJSx&=ZDYX4ti z)R4G>ay`0l_!DuubhZz7?Jsw>tW5aH!`5v})L&T`81&U-b_rxxYL4_8^OM^& zx}ffaBHl%U&y#CtEk8P<`i4hHrkN9Gv9VZ~RHj8uF|DVCt9#i0-`~pAJq-TOZ$E-V zk%S2Ty_B#GA^&F$Kqva2qqPw9!~a>BB&+}bKTo9_W`lsm4pZlH|Cq#Ae#3;5%WZfc zD$^;!bAXbFR($F{h-^C_Xrkj_OCD{~0W0a(4+L`HUrdBRnEm!8;S=8i{GcbwRwwk& zf+m0cdMY~R7&~&KLbVK&MQSmjSH9*YswIdK2;)mzkd~B$YWy=!ZN*qeBeg7QR*H~} zJtUVqeiAd6%q`PSD@>ZQI~(`2C%8Ad3Bsb2;z6noJ^|V6D;VQ)0S036a0e75Ui^f4 z+d*+osyE~xiW4^D6R~ug;Lgb+ z`9M3zJiytWTH5RtWnMtg4BWx~6M+c-?V+Wk)BeSW z+!l0pv5}$|^y=))r6LWd`xB2kbAr=L?e!McyiZJ}U)?1BM9_A={8Dq_oF6+v`1j6b z@V631dLhZ&ZvxFY(?$bZzYFu!ca&pH2O!=k600k<3)5;U{spmh6;1rlXTyXi!LU3Z zk*h38zusVzc}oSUu`wbuWFfFtrGHlA4uF%rH88BlZ^zTI*SpdEPnK5akV6+U_KV=A zWh5=BMO-j&jfMocz(f5|{D+f>WR%^EWl+f0AI59sqk_--=X@yO(Y43jpFO9eOJOKu zj~%&UO@7xpd#m_ctTD`#B`~_ov^r7(*q!j7!uvOA1ACX6sgt~xS77)HIp!{Ztn>=n z=EoQ(ashB7<$voM{;DYR;{>TH!}M^;5RF}O>?vaHQ&c8Zg5aDd|FiZaIN7YYzpaRW zh?Ee4jq6vU7dTOAj~U#$k4ljmhZi1J;Bv$y1!5YfjJ?9XqJ5>M$35Wn zdrEOO7aF>3cn?B1FZci+`m+_W><+lzTudg|=kr@a;j&1u2zWQ*1j|R-Hjhnpe>hP= zNt)|8aiTtx5+^q=?`Go@5Xh5HBalR1{8bdn7M=Hp7JXGt4{C8nmL1vG4U_}~wU490 z=iEuLk34vTR>-yz`&N7$2fb*otEo!yyu4IIEFzHe-cQA^GrNLN$ z>`yZBb)}O5E}0nAS^{OJfj!hhf79M|%rfPN^33RpPd^AT46gmOnC|Lmn(Xij-|wCr zU|e7gp?&5`{j&>J?A32K-?@+C@gdlTR@RDwyMeNd< zjOSdIFLa)2Jr6()aoVrn(5YDABeER~+|vx3;V~w_9t%V1)AH_5IQ|%>+5N_X30`4R z^}md=g}|su8en-8|DwlL;A;vNK44EfaQutkFCo9k4pG8s;xTi@83`v@rd@0-F|`DG zlSFXmtMDUd!Xzo48}k^C^>8T1k6eXG**;&3vSF(H{}>#9zRF=BMZ#fxd;JhOTym)J zGzGh`cTv53R_I&a-)rP8qc-p`&vK#7Vx8Eiw_<8hMWa_XHaP6@VvJwihCO1#_|0W4 zS&*CFVr+6luesRN+1}HVSq*vcDpAt@5a+<>66w>D#;+BD(H7|ca~I3+8B2wf$UnB{ zF6$W;PV9sOrc{}I{&h+<=*?o^H?dGxZ_)SSl(cg;u?c;Uu#tW{VidZg9uetw70P-L zsGq~4262VS*9F9_qVnsg(~kH@1OhFOjK~A?I)P&>aT6|FYVC@x4KyHpX2Y~j=ejA{ z{CufbEP_-I`|+J5}m`v$;dL;SFVr=`lOf$-f~h|75;F~iY58k$oC_^bhR&I z@84}5O~?bSt+L)T5-8au54V;rJayg2G1ayyccUc?`6Pmyr}t;kumj`31gkKX^^)(k zsw5A!*Z_Qs?-j6|uE{s8p>qlg$~QIjl{jyn8UbHIrOm6$nJe=Z8FVJ`@%9xS~ zr3etmkN+f=AZ&)?&Do6o`q_jOp&xb*Bbj@GExNjB2=6i)RKY1Ew(yDud1);KYAvVe z`gvSP?`DE}&b(T$Oe$8cAM4;3*HQCQ{&{>T0iZ0{VQ_N;^Frtk=$nRk>p!r8w>_v^ zjTAN0v-NmJ^y#E+eJ83VO2qjCZ~I{@Gei{gAza%RVJi3b9}fSwO&^=Kpi$!!3kR%< z|N69ZVgY=+8W@vJoXz}9=U4xJkTS`Dhvrg3+F7Ofzm=t=FxF-L2xP1+{h|C)h8@Q> z{`2`(P5!o7R-@0K8Q9fy<=12JAaUB?nibZl*R~SBBtcmjrqAULQp8uLji-OmYi(zl z?DcH8Xi#nyFxOYptD)n`j&87gOVMeZk+N zBoo|WgjXm@NLe@&NEtQSWb}e`*>?D!o8KqH=W6nU%4%|h#t#W!zm5%6ZQM$)C0j=# zp&_Y8me%GOPex|Z1c}(44H7^9xZF<1Rzgu8qy?FrO_U-43|hiR%1lAZZ{j_DzC~WG1JU{_WdmCDu#Qc}dZw6#W?Rdgu5`)lvlP+|WOMf8Ub)lWDza^kT}sL4X8sG? zMC7MGzRfA;`pMrEx%yKnbkk@TwB%+HU}{-2N3l44;p2Itgkcl2-O*^0NQ)m~hlvcP zwwCJg;34$-!7xI7Acnt`inN zuPV;;Cs%w4+o(fa=&zV;u&Gd>X3hPGJRC0)4|E0s3G6KThMw=b6xBT4QS4|95-6h0 zC1i2f@ec#P&a)&HULGkcQpfOzDXbw&y`L9P7huorH5>`G%-Y-itFnYm8!ztWW!$kx zx%{*6RPz1sCXJ76YDDh@V_hWbxCgaTpOiFH$hoPrdiZex_fe4q6sd5ChuqgN@H}?` zyBXioGDtkdr|EtA3z!)#l}l_`6zXZIkgS4}giI|>{>V*$q`(II)vFVgBV<51BA251 z=)ML&>%lV@rdaxB+#&(RDkQuW>%e<)t4N3WVy8vxQEun2icq-`X|I1AF&n$Y_eVn) zB%?r5=4pjjfIqcN5O2w@_XKKi3E8JWe;C@ND7_%!ceLWHYVIQ6=*+x+Bt1W23kB3*DH2ydogWh^+S(B1Yj-fjC=G8-wp*CN+V2ie?jzT zGrJVwpJT}g`o!%ukc)Bm#9k7AFCKLEA1d>;9I{LsNATK==*yC5iT9&i?58FhtrP+R zPr{_^EFppy>kvqO3IC6V;8cHjBVoy?U%Nh!pIsQ7ymI=N%!bgPMf^d*r`WCxcqx=H z!*3O>t#C`R5m*|?sec^_xomqC!TWCf_d_2Ca#SB_)lnD5Th+XXqwgDRL{3kC$A`_j z^Ta=6U$r{YU$mLe-I_tYEWofsY5_IRgVi^oYHNU{jWgDd`8l+^S- zT#VD4*NErUJw z?D_BhE4&hGA2-(dkf)BZ7pQadYZaxz8ln&}3uzP1;?ds7Ca#|i$d&G>>nYqDk4`PT zDcnqXL#n761&n_-X0M)g$!QY(nokW>F-cS?PLrOPVmh$NN>l;(>m3%2>-3D`PMB&a zbaP9dHB8H-5!$(bjqG)Ea)^vp$~rTKIhRdP!<{8J{80irt_$lI!g0?3ZE3&uB(o<3 z>GlbHIn&0KAa8Pdnj;7FV@ju}k3MQ@Q7>A)RiOEHLJ+Pg^U}m&@oW5+xaF>Bl7x=2 zQM$44;;SEA!Fh>qWTU>h;!W+A`&nJ!tDirw@YWI>PZpoDD5>o=gi97n4XNFg;_-$&o$xDe^pFS{miDh-N1~sHIDJ$Z{2t$%fzrjj6DEuiQrXNE zvR}s2d?`z|^(9hrA$j6DOTQCuY(BZ5(T-!9p!B$v$eRD8ESZNoYECBiHzT3c6T6VC z&ixkB8ipMCS2~RG$%UE&SgIMNKY1igEYwH(Hj>{FkIj=x_pt-&<-E~t-_?NFM6fuiR$=L{b$!|&z+kTH;YPJrTlt7YvDDFHyX`X z0;Y@3Nd-HQ)u3X}<=Khq8_KG-!^Q}Sh^;!`0gbQ|$}TyRp@JV(a&wF#RCEh>IBh2~ z5A8tg%#9bnsECE2kJF~HFi(sz3~NM`zaNtOS zns^t(Xn#!pY%tPu>9(E6$5v~cq?L&5>P%UF55)n&t?~G;bG#3eO*H33VO5zw;|pbe zTaThoH{MAfh~UAotZm+JD23nRypBrjO3W`>`aJ$plX}48=N}YJBK#PB(CQg$ebdU< zX)SoUi|M*g-P_tBZq`($${A>;_fE5*wPHFIlAksvGVG(S6S0GhDh_lte%SRP8!*eQ zm^daHc6-(SbM;{-(#O=t2f?^gr&727>x}r7w1d{YToM?Dx8efX(&6Pzbl@C!HbG7kpzFDo# zJ9tw=s{aZ;E)xc#~~(_l}MoQ7A*P)7eZ8>jNu zV_Yv#ii*r!`M!sPf{~bABejI{l^K<5?!0u&cF>e#Z&%Lvp<|)hoH_j+Fx7voZ3`V7 zjk~o1A|Sd=mJN}7gx?YRVCiiW)X9pr|9tCmQwBZ9Bl;>UDW@Rlud4)c7@PlE&{(0s z%e*(^qb{hzVP0v_{t4SKk_Rv-k#;3!0S8F~!QcHP-n>cEUoZMO8)8^{m~Wg&e%8x8 z&vu}2`taCvNc+;pq+_^X<&BR$N+!5z8$ofRbU93=Jc}ajv=FTkfKH=}rJ=N4l!MSGZxz1Gv$?&h zp@pmjFOo{q<2DLD`KA3$0IhGDz-cx_lQBs3=bu~027!XJ3N%^PH%x$3bUPRseXww~ z^;&ugpYlRVww9khl6D@waenyJ*9YDy%$$hA7AWlq{zM=rqWuvLSQ@YC>Pk#~T(;iF zw!=xB*Ua!eL8{{!pOKo*dZ)<;yY6_K_ZHz*(YKq+k?&I*-gT|!byc63Hm-- zb~b+crGMComEX;N&V%||*|o2-Xb#_BO-&kdG96+G1B6Oir)F~YU1 z!HNyD%gIPTe3=r+J2ffPSNZGjWLe0-j@qDB^KiTeF`5Pq{v)7&ILZhDqJ=U_oY1G8 z7`(pt?vx3q5L$yAtv{*y+CT5Shdd%;Idx%RirOFBxZAw$ zsAOd{tNJKS?<%p4QAilkD#p|y5b!sKS_bH&Zw=%cqbZa0@#hL`{;IAgza#Ig8s2Px zlf5bU9-nOV)CJ{FByB{1WXH2GNn7W<-}vG=o56~6&QH#ryDP2_%Ze`e4D7te3*(eHE*{+I+E zGIP|@v6J@;r1>J*PGh9Q!2W4$oeDWIdz}h9r+_+E@@P9Gq6!mx^gB|nVQ#A0%IrFv zKI+*hVpogploZ}Ew8pdosc36U_5<1Mx{2HS-Z(so5-2z9c4o{dRgbA!t?jVq8VP$D(k?+rE66lA} z4RKl^s3bOsPqmde2)wb(DNoLkher9Gt?IeALUV;NpV^Xc?#ZrfN(c_0#FN(i`c*54 z!AjoM(_Z6O6GDtBlRK6e28edRq`wJL=xI%s=voSoG9y0bM86gKYq|M8(i5tUQ2OkAk`boC*5fQHA%8 zijK!_fi(DuENZ49mK9Z=xob0I*E#UhJnYv5L0>>kZh+Vb+%u}@To7pvAjx~nKuxl8Ok_>nGIj36haUE1TmQHP*nVo*mp;M zU+GzCCaPH#%VbsBf5)VCF}oTyb&;Gkb?H7?bJh+OGkZV%%WAmWshA%YwEni_2nW`G361)r)En7gP+g}&U8WOoys`-@v{js4UcH&T&!WTKvyy-*29e8H=B`TG z0#z8H(e`Vi&bwK>)b(@IR(Lf3p7<~tCiB9^d5OC}ORD@WbIg(gL*cM9l_0?@?nnBX z{pvbE;wxkSl@XTRL_cCXdBUh+yZ^IJ<9dFyE}X2YB^~RrDZ}U=eUJT$P+eNFyp^s> zITKfpbkdW24QWgFT)VTH@t;KA^|^LC=pn*lDALq$t?BDKjq?pdE%Upkom7+hRxt~v zkY~c?*rM}Qd3w^&Y+uNbdI+VSxegl~1xnsnqu{lKvwHn$ZZOE&B?;SV4*zTqJ?Cq` z2jk-;N^XJq9KNGXGne$If3;s3>X>W&h%MsOJUT9Ja6FKdSQDG;$r85v`KLwp&TyUx z7)<)Kmj1V99Grl`B}vcvWih=v<(!h5n|wUqNr8kQKBg5qqi&r0VQj{8aas=OE^jjq zhk{E#u@zD_8r<3IDRZu9^{xT(-xi&dFb>!+$+(>}bc0wm}0sy9$lI23BfY6q_FvzBA`C zPZ$rn{65g%4BZL0nkJ|&qz1#NL^~tEU~qAtjZG}#y?7q2I~I-8cj0*RG9~f2@w}OQ zgekzjG{|M0CkU-LdeJaK6Q15}bi{a!Mh!DFM}nuMu4FM)jAJTKEGh-GMKT^A* zCRlEySUb}~hiG^FORJ)#P@NOz=iJ?i+NuqBs+f7zb5Ao9X*NJQWl?e4bS zh)7A$r=KXEinAQZzTVlPV1n|Wcz58Wa=Q4Ao4Ry~@KCfhn}1f73C?D&u>Y>8Ep45_ z5FZjt=7mS}>+6@!aK5k^qU>n?<@7MUtxGWQTh+{?`lTIHOm90c-d*`C(=`jqgkxMP zO}3<*9MVRu&U?=~DDJ^u9!ti4Fi4k*_bV}s=1HZ6s`Stg--0i;oq>AW@$nGX{Xrzi z2Q8}eOj!b<$A&(r@5h7VYpi35}NpF=8LmxRED+abpy;!ZDjCMm0+p7 zSJxM1n=s{Mw-HBj+? z8NY-1L|WrYfYo`7x(+(a$9N3xdWIB8O)PIK=36Fn>)X zlkm=oXt{2EQiLR-x0qyc>iIdZEYBwtXrmawN|*yalj4meZJpU+44bZ=-uh zv&`WyWUUDQ@_XpFoJm|!D0EX`S`Azcv>KUyLh`1K?MIV&Nm0YFR$;h}kHa-JMf}JS z^2A?syZ*zgwzmx(g6RUCRdVVch0t5W9|8Jh)FtC{+JhWX$Ic_6)R>G>vUm87w%s{T z%a7{pXj1VE6Y@p{VQQp3Ho#u4rYhD^ix^-VzEowiV7Ov|ax%-VNNgX7P$vQ5sXw7l z8jSq|naQf+r1&v4WED~>KFH|JhMU_~U|BxKz2W=8YqgD0N}C&^`pEZtMU$ujSHD^H zJid~}Zy_3On@jO*3pvWysdik!KpMZ2xkT10+`c7`vXsD&0+YnQi^e1_8gnIXXWmGn zs+*Y4B5=r%D9D56d19S>oNHt7I{RMcknz&xy$=|!2;Dz-S9{XbU-cfN)43v^{eC^t zSi=kXld9tDv6M>sYvs!;E-z-Ak%1eiTP=fO0{o{1wg`Ha$PdnW-X6LSFRFLT?)aT+ z`zrl@oyyL`q9li)3mT`-EB$^3o2451p2kl~*{^cC{t;(#O5IBmHXT$6*zwrg9=rS# zKe1QfD_&&9;AH*7+tGDGC*P#;Ok%QfHNhMei}q;SkRUlNIfKfDVg`mb9j7=TEv@so zN>w^udeP?VxNRKFuK+WPki~90)pI9o4fh~q{L$#1Tud=FBu4l8w)xNK0I9$je&UJmSW6$I%l~SU~S<%>|O6aYlY-P;^Tuw5? z$~kkKDvw=#vI2=^Y8X8Bi4UJb8 z>%gwGSInX(_)Kk0*z&z<%GNYctZvpWEWI4p#KYooAq*4fTXfMVXk6m#K}F3QW9iuK zyLH2-$XK+(EIUvv0rJ@pODNlhmEGeNt0l%#j#zFax#D9KtZCxBx;iABbM5}jUi4M} zEsv2uLZ{BpnMNs7zZ4bq=`isn2HSQ>b<3KxWnP=NStimvFBgnv*mZkXJO1kz3B@^}OZ4g3_(5cE@H=aR zXMdv+03-x($q{>mFN=ju^dA<6^jR%EQDw!AAuiF7j3Ecq{qOdQ5S&K_2h%Df)@Pn>J<8IkY9Z%9apTO$&e?0?nciVZnSPjU@RF5>GYRRvqV7K zrhtD7w9~>VrMI^0Q7fY#V$8*QIq+`RSjnq50Ev|?EB5CzX*ld+hU-Ru@_H#6rxVF( z|H49-Vm!S>$jugXh85xCkYG09mzXa?LWKFEv2k$7&54Ew%@Qo~!R~CTvQP2IXeYkOPG8XrZ$G+p;)@mQmtLhBq0He`C;_<9XtMTVq;LRhMun zae3`a>P$^>Nqk&b8cReFQ(dKYR~AWI@+Y6>=KCxyADil-X0hyr%U3Je8bdPOxs@abl0FK!mLBY7Ep0sfaL^7D2k0k3@rrrZ{>(3aj5A)E zYoxkQO3@L$y3>1JbMCM}u(;-Wlx!_Hs2#-VVy7VO{b3Hjx+l6D-UqNdjar6cs9t_K z)1xs+@uwH9uKl$ROwKI(kHUJ(%J8XMl&!C6L&^;^McV2EmB_hm68Uq*jrSIsyv zyjXF1B1gaqfLjP7^SF%XN1!1mZ_J7r^|a%*vBPOpH?4VXs-+Bu*2XZ^*%YSEs8}Ht zEY3fE193R_52yJy`ASwbE3PPhthU6r-; z%cwBC&n1XTaybTj$}V1vYY~HOFIUE4V8o-&X7d>?hA$g5zFRPs@dXKUC6qorfM8yV zlOTZj=PUB?xG4hd9H^(+Jxn(Fd#){LMzPJ)eP@C9v7ZBdke|05RAeL2V>5bYa~f+g z3%a$q1g&Xq?z}S|4G^Ns+5WQ>jp{kaO))QyFDv${M7W3?%$-tC-D~&~^84|KkteL+ zkf%QO(xZ>Yv`t>`Bp1$&rwIX}A$Toj_YK{)n2m~`N2?ekp=&c3bEv&C2!fM&uuBeA zuFk+^$UC0_2ge4?UXLM^94zcS5h^xx2b5|cORe!p@^O+YziUsRPY8O{TT8cs{wNv< zSw!(LrnAp>Iu%G1W7GQFbFDjuz5{zK3{Nnz0J+@`lY-Hj7cDrxDUI}dlcIvg-YwRf z8b?sn@FWQA`zhE}Td<5XiyHZhGLwsxV!Kp+s{f5VWY#oNgj1%q(FLHiq=ae&JwTru1P_*5*q5OP?+|C)5 z;tVfF6*N109!VnCV*FO&zZ@qn z#Z&UQL#vky{GNN^+hJiQ9mG}t^%*-;uFjYXZ~Usj%MIvCtW~3~hFVj_2p)Q?rOYam zxqKr7eMvi`S>Ch_UzikyOyTP!M~bVW8NT{)TEh0`h@+1=$n2+FiwDS4J!OR z`nBf}=6xB;RgslB;Ax%X@lD5Ww3vk6w6yP4=FI1QIHGU~bF0re@o&$}@G7<&T6tEY ziOHNalC>Wz?cDnp#`VNY^BN*mumGs~{;Z-|Fu(=qZMS>M;f%=aNvlmHdQ{jOw-+^`sncs;5%~iDqz_M_KscGYJCXuk>UO&8fK3@Ek1db*2ap6`3$| z0luIdu6pFrE7*u3C73#|XNW2>Ni@dyFA_gF3bS)QXEhr^K;T=M~0s78tKv1hVUxk;u)Rfph^gQVx;(-+KYRe)Z}rnj|P=$B%Nr zh{&ZOeAE?eIFdL$Inbh*_uN570U79@#~-!S&9?M7_uEfifN__JhlcSnPmsO9qhMu! z*wCj0uv=HW6Z;tu(p$6WvZMPsGcUwZ#XE8Q#W`Y}2l_aehoLuGb+qDYvR^R3K#g?z zscf>{_HPbyb*pa?fjg-q$n#%d*tuUXQuf)6##j(rmVZ4>L?QnW}%yL}9 z3g0u%AY~e13NY+qn)r?TL$A4pArfq6W$`ji(Gno0IY9SEALpN-iIvr0tFN|$Uy38W z7QPlvcl;50_Z1f}>7oD%l;&UaT8o;=ELvaU$!wImlCmR<0@x)k~{mS?fshlY$_D;EyAy5uR@!|bc5R?EG|hk6IWNV?bO-V>y+60)Dy7FYwWS~)7-*d{)2I2>&-$F0TQnAIZ7NEm z;FA9?kgVN6JdjO*T`t^6Ji{N9eiJfWLNr+7@u8c3!de1|nt|h0A^?7breQ-dEPLuk z9Yb>`C{C0r+Fez0ojld_5-4-{9@Ivb=PB%UwB~Wj{V>@*s%2+<#@sCF7YitIy`J;1 z74#>1xmpTlaeKc}l0406c9P|;NQwQ`s-rh;JI9sb5|JoCOsLo85NmuJcoE1DTg=g7 zmlytin`3M#f4$_Gps%ws)P*(EBgjlAOqv3dHcJW(r#4z^iFtPVkrAJ@ zYzwOGpd22yc-$(bnAKu)$Qr~SZE!qH0C(;QE;8*{remdFh330xKxkxl{`lXQU~3i( z1nRYxZ(`L4G!%@UYn!1|P{y^)Jw~%+Irw0>UPX94u~d()%(DG`1q*D(D3qKm@hbkx zV(v^oi1z{)w;{K%-(SyK4$QlfbdHv(j@9RzQ0Wjc{Q~UStgn`Kpg^wjh^sY^)=RG7)k^TT3)FGw@&LN`UDVG#d zoEX|TE*B?!rsvrN?)VkYzdvId)cWyyw3dZyuQ{zvGAf)zj($-}aX>6{1TCTPh-m0% zot;+h*)|f(mq~zdMz43?WK9yR3~I$RqU4R)&E`d821zQgM4Ray$#N>tJ~PhY^p&RP z2~?ybpti!D8W<54zy!J!0d&<%_M{7M=mUF>;8TlKF&EBglV~-46ax?WT*u9-=gnf- z<$~d@8Gq_|B>A<{c0z%$MVCucqn^GN`Xt;Em9vN=4Uc)+-t78Z_D%Dwa@9g>!AA*5 zbPj!ZHT z79VK{$GfPS#pr&2ah3%Wash$yO<5_jBi; z+ixO8U7Z##Lga`a$yXtV@%pwM`dbkBSoC3uq zSn=Z4QV8x^ytowz6!+p3cY;HqxVyW%6n803@FIcY{^fqY@s5!nu+JXr>@(M#*V=LO zjJ4BD%T=8;!=dJpFB_e^jLZ^qZ-4jcbhD$&A}U^S=Hp!jTaL4d3k7D39UXD~OlD+0 z9qHhxIrGOl%j6G>`owjf)pdRqOy(Ou)#;MMw|*0y(*1I`;i>ZyBydE!c&)$PS8+D9 z__^FVw(49uu2+LZ%anl6(6~_NB_QzaB=!91IZ>NSb>+nWyJs}NW`VGBU&du7U z7s>1S`s2Sntz=Cmf5P~$!N`c3t=&SmKCAq!#Cp29sv6eYX&#;ez2AR2u!lD*S%Mu; z1TNa?U;gI6V2_)uFFQ*qcQ-<=$k%5V2rcjEfZ#)Vnyz;$s!3NOW(*N(+wcZ#dk$BP>dIo?uOS_?!aPLU z+dHva?h%%&)p_&!McOfDr^TT@$i(V45>haE$R30Si@!}i{PoTqCq5Xz|A;iH)_9Z} z9hpN$cU_nYjp&=Mrj5ZJ<&Bd3@^Eb1Z-)T96(D-oqw=e&sUh@i$8G?x`Hf#_ra_Sg zg{fFILEcgXx4ad-_b*AVA+D_C77Fr=Sm*Bv0Gu0wr~ZT6UQ+!rnw5x(L`!BVVQZXm zPbpoiwyHlYVE`bck!dqfl2AghGG^5zxOzcf^}qnbtIGQnDEkcT_VD!=b2d<%%*cCY z2}>9}30B{E4UYyoB134L4%T>M^wKyf3i*ZZ*~ru{%mIszMb+<@=g=t6RmD z^^@Fvt_uIxs!WSny7BVKkH0%do!DIuZs_|0I-a>E>n#<$sB;F}Q=2h>q4PD@m!}`Z zg+txX*NDR;NoK(TVrkks%v>M+Khh?xu&TFX@Es5*aR1FB4;pidshFQmyRl<6|BI)# zKlFu}nff`1r`R;;8g|95Y=lkb@@bKl5HVBBpFU|B)@gG9`xO1zK3wJ9EpAA{QxU`0&vhFH1*!^?=v_JDs#+KUxLk`8#v=EQnac}y5>}F# zcR`DpG2dRN^E6Pa)-N|CY@(JpJROD%p-7IxGKzH=vd_d_{F&1mR(j&3l8@;b;#NVI zCNX|~P7z;)L`z_o7bcjuk8ip>_yKHh4CQ-sA-Pgrct)Ve?+p8aiCqN42wXC+BFdO% zA#Q(fq;@2ax}q|=Ui1HbFAl<03Tpx7()(wB zJGQXyuH8!V{uar4ZKNs$v1o%Vt(Ux z>Ba!s9UilJZG3Pyo%%+fE ziai!*9AfgUoN2(Y>?ywqFOT%azRy0k=L5t-SCeX9o*u6q$>sxHZ>@q=29C>jeQ~8a z$SNjb1_r9SV?zRH)?HS}#>LQ ziJ{U<#6UGIFB2b4t1qjkr$u&MuTF+gqt^{0T9>5=I{QbVZ=RZhds4j*Hp4FAM(I+_ z7Q^r8!X+&+(T5yA{I)hxd>}pl>k~Os(L-M;=g+;hWz6Lzf@i_bFr2}yF-naEqGu#Q zKlZgJlZ@HXO_T&WPI8a27WbQQPq1JOk=FIK8>$XxAe1y1>29}j2!&B+An3*S3h;mRa29X#2j=Dem zsg4?wySomH`#f2CT=cdg_fhzS;rBm`9gWH#rxVRp8mN7M8ZkoWVD&zo&!(=*q^o+E zhL#%o&Mw>7QxEQyBuTa5k^#yTfSf6Hj8Fyg@koq}PXdXPW$&?(8)`vRld>T@a$6Qt zxA9W=#Kgt@SaTH;T4h8uW%L-+4k4hGsNA=Iz@0*wIf=+ik%sGgXJ9QB$Q-_RW#-{{ z8xw2vxv)zD6YkZzo{L&Hj?Z*jf~zryqU@rx6h-G&2FhA0U+IE7L4*Q%hfwCWZK^t+ zSR!x8!ewx_3$3?ALa`tNG#C%(mcRh=v0_z7Z~bdCj~gp#g6eE|C*9Fviz{$URqNY@ zcQ*~FMpc9>v?v&vu`<>-Oeiwt>E=5IAe=U$-yYI2 zYl$iUrnx@OU?|K;urKI2nDFqn=9A1_GCP>v_i~TaC`(aIE9p+id%Cw;q`kR5?eU$A zt`$~M$eeSFNEN}a_GkdhkrdOobEEOAn95;~x{X)2aG0fR06|6m?u#7=xf3-=Au%eHs`)mrKa+l7`dWnNe+SntC zaRfl*W@j}P9&X)VFkkMuhM>LTHn{@6OYN~iPTRI$-NGC`LVmfsZ(3N|%xpfMotq?R zo^MicD!TI*&3KwCvYQRBnYJ{d_RGgOC@XZd%4u`uscYb3A(B~L1Gkw!DxIoA$3VvG zpl8?Mv|b|eO4d96R|`?2W9b3|@LxTXGA=-*^^4%5Izs*`27v3t9c*cLae444M;q{Z zv$~XOzAL*v5S}+%vPKy4eO(eWDo>*YXnyzL0m&8>6(dAn3NRolL-Kz;_45s^?xNh@ z{jg3(*Achw&?VF##Yf;}gb;>u4xK;-oF8Yeb>EOJ4?e!B&i*i_MQL3XSuVBz6GfvM z6D%k9VWO;(9}@dMq{6Pu$ajCfS3TefJTk^v|_<>Yt`|K zzPv)OO$r7ewa6@mi9X0M@q6`S`zMW5)j&Gzk)l~3b&`gTs-DC3q|3C1a$@9%>F*L( z*!%-LtnvHvTo>7{X*K|cm+j(PCtgKvrE(kYJWs>5PhoPj5oc9z&V!=<6HCqT?*mYI zvpQ@~DNh|WCEusA?NHMx(|`UkyzT?&WH7aeAsWh!S~&t$Y9Y=clxq9JhdKs|4$&N? zZd_QaA@Ws83c$p)0igV?ke?ixT8Q4UODA|E6Gmo%HI%?u;l%5-(O3CL@t@F;PMNPh z(p~8fxNCSo$39|IM)bMBGlCk|!E(wkEp|j4iGp}br;!Ss1hXUWD2WWp zF9udpl)p?|w_P7FpRWFh_&(TnzcT@6RB8-nufw1h+iTz#!xIs`>EN;a{+np~Tgg~h znWc`_zF>b?N5RbfHxHAxD7Baw#U=0bgfAf+5%h4af`v)DJ_ejw+pgjc)MtubF;d2e zQP77JF;sMkv+QuVP6B(lvfm>{4?GNC(HLCB1^jNYSA^|G&6RJBGwLuvRiS2ac|;fu zPypu!gli&cwZCxl7KkUO+^4Y^*h;HJ8H{#u+ zN=y%MH5?B>Tou*6kDI|wads+m;1^!|dCT4DIA`Ym$y-pMI%#mPrDb7z*s=5XT6=iM zd}-Q4vXJ;)l z^VhsN&mRi|(x+wY5G;EvkvRMnazz?h%@4et&u)Je9x!f6*)J~`HmkSZis=L=^aJ2K z)jL?w!&4o{Fa8c3O-Dx`PJl|`Ibv{|ZPfC5QuIqgkLhFtxA21{BMqC}=bSREKGmFb z)g#XdHwe%vSE~1q4f_3Fzege5+0d){LV~28_LFn3vWMz=gjSXwsKXbAhGj@ z$3Zc9A6=`b?ZKXVt}k`V5t0-)wD6OUCI-25lrO7j7#*BR8uB^vS>Gl@h8j%$x<_77 zrq2@@;3jghBgyA(MczyRsTm}5_|o|D(pdP2yEZH3PcZ5Qe*j0lJoV6u;-6f!aSbB$ z2I37v=)J~o9ev^#2Xi~!kTK`I&kSm$eQ@z5YRF9n=qpvVcrI!v%%ue{GR;zY{Ivg* zD(|J&HM{H_o4nX<6Frhgjen{!KJl(u|Ct;IFU)yU2ICDoynYW*u(2$p0reZPilu$w zwwt6$_2wX(RT*_Wi*(SaSrW^X$2?nnT-$7xmYAY>I<~KRZ)KOM{Wu$)s$cBX5qkNl zd(H<-($q@{n>&>-PFZTInjR5LPgg2oGfnai??H=xMpycqWHJ;cMKJL&>d?&p?5 z5g4%j;#48BPxyKf?1ot+jE$y86M>bz@yClrcIOsS(!P~F!-qemw28-q6 zV2|(1&Vpy8ePYI(PDX_g>~A~RhCKu>TJFn=;7vvHFRTiW#{QSSMe$EXqgP6O+FdB_ zk<&4|d=Y#|ryEEG#F@wi37Sb>ry{3)F5l@|a8~h@Wl3cS^!}jJhlK~ybmzb+nHfYy`1)M?q`y3 zyR$C3@^wKTU+;_&e6Fp-ccN_BMc|(w?lGdaO8*!$v~LQn+78?FlyZ3xo6%t0eSLjAi(w5k ze9`@#=t4i4egxF}+NLyUG^o>o@b2?{1ChYT!aCW6b`Kn1!|(!f9u3{ELlOKqm*zOM z=vWCk7zY<0_g06T11!F1DD2GMhi<-STU`D1W0%6(C{rokoUGFgeUI=E1&odqpvwy@ z_&A-_KD?x^CO$1FZOLbd1~(5X5K_&yVkFm4fBmRpLvcd)IvMo-2kZq(o}f5KOIuZO zxU#vRmj~#I1I0Jh&Wg}R%5IN>CM)^jTo@Q|+EX2Y0@0~U?)Z%DG#`r>*3JV9BWqW2 zBWaGAIe8Qm5X~S~Zv63sO}n%?dUeD8OF?U&ht{?kSHGoR0#U^3=gY|7I5>Jh<S9E#`5(2|QnXp8v1HJlSI4oO|vY{j7H^1&Ww&B90L|l6G6VX+~z8ts9M-Xhe>7|#Z&j5SpvSBdp zxJ@{d?)D9Ep8rS*w`m}Ah@ORN8e|zW8}3F4f)XEN2?N^}+Tz6?V{ZGv?V{}Al3Xb> zoS4cR^vFAL2t>1KuCixsPk}CBco{d>-0oe=gkBMnLIRdFtYkn0q#X(PuC zwh6mle2J^fq7%A*&F-Hdj=aKMPf8h|ews=4)!Zv|XcU8k1S#3=HX&!?Ljx_bL@_T~5UMt{>4@M&f^Q_z1p+5@EIBPJ7! zMj*y0<1c1X4*`ef@X^-McXY+A2NTe%KA?K$=B{-eLJ!lN!eYq9+o8snqIJrdKR=^3 z&Hq~E1zzsll~64)!XS9L%f~YQ+$|Y#nULDc_&=;L@_B^R0-`>#9Lg`rg4hgs{x|yx zs#{0T91nQx>UvL@d$@t40F{6ZcqCRImV(&PDNNO6Yw)$E?8uy$!s$VBKv! zJN;(cszsf`dV$l;%Rf3;-q*vsDr0e>Q^{!eg#bR{JLn)oS7&N38NT>Gj2;Dtq2%&& z1Zr6XQPWnXyGJ3aZyrBH$_HtLWq2;cNuwHa0?T$GwiysZ38nNGrj_yoFeWDxQKe_Y?|Kb`uW)$J{wI*b~;sf2uFn%x*wRS(vjj1KAm?^E38 zPGIiVvdhR-6GdJGf8hrZmARZmfDxnK7H&#D1qx5TkTS0PcJbjm^(?#McfO}4R^rkiaqOMB!xh>+bP-a>_YH3RTxthO977B6nW{v z?GmqOxb4WkB+Zc*w+)X~N$YoOZ2o>Pw*=~Mn@Ubae6;`G6CrA3$$cE^;pa--y}R)V z<@_2$%}53AdYqYJhiN&qVTI{Hx=~32|a@b^fGO8D)Zeytw_@$6`m2pq# z%Z~(hvOq^-$M%z}w5AcK4okw*Ui)f^Zi*p9Pw~r311>Hb8vf{1dHMRXctTtQ#I4^f z(LB|b-z(c55OkjzJGJHMZDxcfNd@A?x(OC`4@y+>)cWNEIYQ8Mw3Xhw%0K^^rIrN3E&f2(m;{pF9aXz}n1G;m$I1ZCry@a-#|@tDHY=Z)AG3 zJg5#C|7881U}$dG8HBu{v(^1F_8H#Gw>>-5y}cX^w76XY54heLlR8e@^jgrpXUJayWzA5HvW%~>;Pi;6Bv-DR^)L!65(!RA`E%*V@}#YYTh09OGEBM zB6@j-d8(;FVT}dLPy2ygQ`vqE-N~x!n!pRu7mr9csrG;BA1rMyt}h6us9Z0)UyBa} zsqSFZkqSGeNt+%h=K?-03N#(RI!JBK|FZR;?4hes+mF+v-SymONZv6A`ld*YRWvds zy=T>3@~kF2)gia}E6;zVrJt5pxA3-d^{GL*hu`p+Si5T2E>a@?Bg#QRIvqdSjz;R$ zJgOq zg#4Bbw{V@99ILx^<_{1-hcYb`BsPObFXv02uiBlW@p?}ArC1X{%Uo^UQB+$0`ATb` zQ3X0y2VVP|F4GMAs-kX>k3$!QbbqihN6zvA7FeQfo4We$Oxjv z)(eUwA=;8zswzKs*(a1%#dTOniDg3R`KSGSPBSOIJ^F?$#ycaN6D zaXw2wJcqO9Atc<;LGmrr3>r?N`zCVd6w5B*tkp<;;)4QeT0^TKDEsEE>g=)X8{KshBl-T$!w%4p1Ig4>hZ4PrkNwXb;zNQ}4zouUhLZa|MnS0`#wpj_=X$~<{8&cgMUTUwsg%qCd;Z8Y4la%X9oog5{**bJ3h&L-C zZsl^i?3*abWPW~E60IwP@#^cat{3&(iC*}@!>by}e-T%~JYzNH09RuxeH=rmb1Byf zMY&_QhH9tWK^FccLfXOV*NxFFI$tQq8y(&1HL2^Nfz$#gSWaBQHSm?5f_l_AHcuY-z0ZfCwRj#h{1^>o~ zHdC2 zZ`5Fjh33Cwa8?BHHiNRirJ7@`7&4wpjXZYiBN6h^fU^LJ|ELKT$%%mv6?6e=CVpj|hHENVao zEw%DW2pK{%0)l#hIn&3(TBoCawp4vb+LkWYSx3Ak;=tauwXR|GN_OPpnPvKf-3fd4 z2g<+nO0)Qh4Q+L-zgyA~%Xs?4=0n6$Iq$5TxH%kof7=99!)wt|WSl#77XZdYS(~XC zpfWOm!bFA3UhV!sk4%%|Ri02G=hA4s{+DmH1$tIpxBcU$SW^7I*L9fQW|)T~5omTVLdElI^7Nw$u_PZZGi zz3CKv8@{iUIjggzlQx)?tJFMBOg+eq7lt6B=RhO5u^}(V@K->Zg64 z&ISmcsCQSagq2w zs@ZKvSSZ8#;z)4kUi)gKk;c^*f61fGROZQAN)*v{HwUr15GSwq$AK%cE=4DS-&|?x z0akyxOtnf{Rq9M>tzy(sH?Daf&0nGOMuBviJim7P9Fr=$1 z_-^f|q-`JCP|5Gx^Bj~Mu{2h!qShV3tJHogc?-*(EeDBSJCM}JG>Sl%wK7$7kiPt9 zKh!|Uc2xge|0d#qEn{OKWS^pMM^cRxkO2xVqBW@vkZjli^jk&1yYsI<+@xsz$+`N- zqU12JMokOv`}zAV6&|n9yz!uN)DxP*yqg1PL+ErB{cmG&5V4HSRNVEkYnL#bYA(HA zx1jyz{_QQUgi9x^-LUBu+6khfKl`;U)1Kb%X%G%U?A#LyNy##WrK>-g1iv=V{IPz)IPeu(Qg>GW)rwQkEr+?cVH2dA%LOFya21iJzM1cq!@@?3Y>O1vgnBqKq=25{|LGo&t!Jh;VE)NEbN&j5(Byy~{6vl+96hLYl z@kPZ9F~IwV8_KL=ORl2|<~frF;-r=>OCWYbQ^q z#X!!B%cuNo5aR-|K#5crjQ{A>-R=9)sCB*Rjv7>b5fG`_^VR6>#l#5m|MIG`V&iX~ zpN7%h*_#q^O?qY`;Z|&1bY7vU@=*qJRg}Ajyb&o@Qp?AbR5KJJnxwi0vRy9Igyht{ zq>>B+co)Un&nYTA;P(#Mc+ZRq zgf@x^#&dZY)hw>}3famZzWK^Yg~lG51RbcTk1y5h zRXy6W4ceLOa`a~T`>+;@JwP~>eP4KQfmkzT1!1&sELZ5wWWIlbJ2Mb*MC%+O6&$?C z!#)ZS@|^B9V(qcxm+B@sO}NG3aifH5OQw$Ovs;?9vMSx&I8Cx!Z~4xpH7u37=-i-O zTY9kode-kgw&YV9$23-WKl0kVF?Wv;IGzbNQ!wx z2+dbroC*qJ89(TU*ygOc#AN*SIqkg30^Yf13WT;&5`yRNFVSj5>)H0vc>d_Ch3Il& z+r16l!S}3!*E;g46x5h=Xv7?~@_=(L_KF+TQD!8n@ybZInZz<$T8mlA9;=oV9+~;_ z4GgxFw7;uNMHdlUIO8Mvh_wb>=V3P%3!{yAizom0JwnVw#N~3+-IU)e(1co*C8*O) zin7sQrp@2@@IAuK+MPbK6Ki{JIV~rVKaO_Ex77>JSiEY^Z;d+3JN-9$gO)VEZ;s)r zb@q}o1BD+R8awiiUksee@SZ}e`qBL3&w~2H`h5dQh6xm%Q3^Y3f?18M{&}LYB{22y z6f2Ljv2u^dUDa0bYzh2HnER2SvwF(DamMnrYAv3>Bi>V5vxM87uT1~^&iz%jEput# z`vPhv0p8C*lEt1fbvV$RQNLh3%8wGAkbpJDgw zM8Rddm6l2OW*78!pCYdW3y79Q(R6Wt85Dh&(>Um%m20V3D24E&nUj$plz(yPq_^=V ztOc9uX(h*afYT^b*@nB_l_K!Ztt4Gl;NktiMg||SGtw|i#OYQrIj#Dz7qQiPD=_ zw?YcN=gILCip9J2;(ocXz=?yaWx>Ae7q2&4-zfTGPhh9>`=ZOs4Cn1FYChRR2c2cd zd-TH|dT=ntB87QUmh`0`j*ZY?z%7bCGW~LtkJ!P1wo*XwZ)cQBm#4853*(;)f~rPu zZ|?g!vfedvPY`j)kjl&@xK(j!$C(4LZ=ha;<+{hlSX`rha+q)j2FD@R{P+K z#^_>J(U8t=a#8K)*I06>osag?V38hz14YY=N-u~9OW1curo)#q3aUFQ`~~G-ansMX zT_^f!Ww}cJ2}?hRd-GTeqKeGcgTC`s&MC`z*VHML9|BI#f6xMV<`{nrYOoHQBz5c@;Z_0M_UgX>SFtg1 zlTByguZ2o$3;?!O;yO{sYhx&^dM-ux@~e5A9^C8PKSnA6w^6u{7`QD^q`NyIYDy3Q z(;H@TP6;c$k07eOLwW?gS}A;m-NLj)?=uG#8?HsYj#g?26Kjx_RzmhAnNM8Ckk#wi zj--z_Z@KI42_PJ4z`@axuxA0wAE3~E=0GO^aj zOQNH)RRcOOqM5D=b}&`Z&{nmMk*m?ae*O`6W2vNo6XOU#}J( zIsy15_saW{^L`Z5SHR%_qihnO@+iut#{LVM45mr0*>$e*gms;7;_h?PNSDJq{m&5> zFGk2VY(rMk#F}nruV;Q!+M|3<%-!|r+GJMZMBi!_e)z#`RPx8g+4o&P{GL{(U*X2H z!oM1sfepA8C%VXdAUEU^phB*e@@e9Zn($|Dk zCH4C9$>_1*mqRZDV`oqkD*_$c&?kiDH`m)n(L@v^2uc5l#Q(s1qc`~vV@QvT#1)Pq z5zjRQo|0p|N0G5Y0GE7zJKnxFq~j=WiPx&k*Pt7P=T7Q7<=Sf8BktYs6G5JO+Aid` zLUh?|$<@>Cv2uqY+iazvktJE5F^HWjV;|Q*jPqXoktnM|6}O5>KMCV!F7dmD#j34- zanS%=+d-IN3+#bW#p|y7^>m`|_eU@moQJEZy$hRy{b%7>AgR<;4~6#_ViMa+4+G(j zT%Zg7eFMO#BllC)*Vo+_c9CB=f--Y`r``@>I7-;t+=u|UBeES;%?XDb&@h{~u{>TZ zaX3|q0K^yKHbGW;G*~D%?e4=g-#k$;)lIb1DroG?xp|2MoFbHIFAlVsIb;SGC}@q* z3kC+5&mZ&t*a6p@C`?;_A4EZ3yf^JawlcIR8@N@Y1r6Os|6B=0=emZdVvN^ec#izW zue<+De9fPcLZ-{TsZ_nrSo4lfD9ln>)q`dJ6%%UnI_&2aBkKEcV2~+{ zcL4m3qG=;iGQ*$oZ>pcKT~y73j^V40bTm$`Y>yz6;6^xer;E*%FJ7n8Ocm6Awv`-+e`UVS0%nd#;qctFk*--> zgtA)FpIqCt?8`q;k?-L9?aQtkPjQ|2 zFnzs_16x?3mp6@;!BT=Jyib-6RiA52kbQqWp(Si@n?z}xrTC_}sF$pp@qJI^T5Ox# z4BzuhhEgh*uZMIMIzxm*z%DQ00V7sD zxs&ue06?Beji@1Nbs(Ha8=e%Y4(SSfScz(^x%+$Fa<*pg^_=|S@IAiwI(l&mb7k$; zy8YUB(+Gt>UhBhQ2oX~9lQVWUtCWzqTG>}p&{GE-=A z6@*Aoo1d!VqSbX7p7?B&Tm;B*S?FANlLRgVYHXyplCIzqzdYR|Tz&N3OB??n!=(eK ztp>~M|L8%^iCx;A9!~p!QT1wWbYU6h*fUr*a!$UPA=-rK1MxjZf&(CS6NpnHH!M^V z9uPX}&0}K)BACE0)(O3IirM*`X4)Pj*|47EuYGSqeGs}@v1aR%2r39PE&bWGwP>Y@ zjNj>|!`MA%t5)2@wy~=aAPfdnmLl|5gcx6zicW^Rgd|8Fwc3l}z8I_Z)Y2c8TUAU~{Ya>uEYX1x6n&QMcPX%w^aTR{^h z<5cYXbl?ysrA6+L2J2v2tug3dfR#6j{hYdmnlv48+F~n zPD0=mLqqPf3o}10>t9MO8!cJ$>Zotfsh$i#=2u4Ja0y-QQ&J}W&n_WcTj+)UO=8{T z`3G)jesD@lz5~NS>Fa5c*WF+5fxnZ?7Ph?)4tpX?aj$u^9zT9oF}x(#!3K=%NgSvo zxYjmR96!j#lZ0vtY54vs~+)SepjJSs_(g%um3%lC|*1Cix)7rR%SM zU(L+64;SAU2QVdZ5yR=wUAJ7ehEiO)zHoa%iS8g2ADtIB-scSj0Sm;|cXWs&)***` ztL(!cWPF}VFzx(Fsu|G(HSy2fcLYaba=wxz&w?n;8mD)goEXAzCx1G#Hu2$?$Gp85ymEpaWILK95fs5u(Br5`($WsQD~b=eH3u= zw->D7X6|e64RfWS#YTa~oq@w}+5v8Fp3o?7&s-gR$Vt(Rk4K|nT)Yv}J`c83a4B-# zlJx2ObYmhQQ#m|8h!~`g(&CXy7l)roY>n5X#a4>g^{rS=j!fQAwqX*L)c5u}N121_ zUDNr|+z*-m<5S*}}pir{mHH!*gifAkqR%N}x>u+9Ugw_x!>p zjM37t)~4y~VSXrQmD09jqW^Kd`NpZ+uex0V9VTEOga@Nbs0g&S1Xe#{=}|`ea`v%R z_K?FG8;QNWY2Jyh=|7S-2r}n!iB)4VDJ^NjQ`5^>*!EO)C~J3hLjW#CCB4DXuBVSb z%I-1uLngZD{ftP#mK+5(x3YAgfQmW&VZj>T7eg9Bb-!XU-ZT@Y9zuSxHDWp+?XZAw z(?mJ%UeGCiBnrfl*D0YLwjdo@Q9;ZlQCt3Xsx6Pkpjc!VE5m7a9oLs|eGy2567gUK z#*;&!Au|4h0Z&;2Fq@oDEy32}{Js1lo^Jjr#fc#!m|(UnIB|AZQ@`Nd_5_T5=LY8_ zy8YTNc&DJ;Q1J#Ho2Pux($tsp;$y*pq?uDIXE`tDA@C(N*872ZuzIc8*5 z>J=H1>@*A*XLJWy)Qj9a+QG4@5WmaO+F_E98p%V{W4-***$la2tb}mBYtE|H*>6av zL*!RZqFe*`?;3`T{El%N_``&J@&e{#r0AuE4!Gc zhhf&nUaA*owM5EZ-OeRl%(Z}*DFUz8+wz1rWKoRx^vKnx?LOvfmS0%=Serqd{IW-E z(8#`m>%<1T;_k*SJnSP9ndl8M48_d8Vqm95FC#M*dj?nm3>#Pn5zD-ZK?W zj`NGecN{|~E4BW(+#DG-S=@Yd^DpgG{%(Ru;^4fo+Zn?64h}shz_HuE+1LYFrdV-Kw~KBB-i_^O=E|PBfhMI~RA32{?BARGnUAJZ~}ekUIG<+0V}> zb?eF0tFnJU0AeZMH_@-`PvW38@_H$2h{dtAGuj@xYCPZ`fm0As6L~pS%N`b|4kyRq zC6OtYm-0IrcrmDbfX*kUBR3HO0qsJp?ZUhj9>M@2YoZ)iCa+s%0I4fR% zl!TL`2l%H?p40@yVZ1gVUw9hLA3RGI=v0s#x=S&NFJ{?1>pX|tMT9AZK(vq^*z_r^ zrvq<#`p@?~AJl_>iXgQ&LnX$*5JU-nMvO3=@e4E^f6NDAFk9K%37pxjS~&CyN@7YD z*Hf*h!$2l_L&z_#BQqFi$3>e|V5PdtP*-8l8~*tC=AjZ$9Ms;AMkTwB8{`yFrcttX z|F1b1r`@CZe^Ej{dKVgzXf?$ce?MHYgUI)RlNiAg#@*ygW!1-d-zB*EO5;DfFJl$+ z&q916k~uOoG5_=<2QDboWHsOvqbP@wR?w&{f(kZ~z@XNQ)*0u&v^EwO-}NuFp)=pl zF-4jq|E)6{KmJ$}!=R6sQcDx)MJ3y*`zdp>&9aBO=vlC2KsnwysbIx~M0V`#UDid7 z8-|!$5YzDw>`Srr?fS>oxpyU^g1(S|BAlL`h6NwGhg0iF@M)RhIBIzZR{@onK`pw-?@6*jUj3`za42- z*${28gu=sB;({$Ws|;1$ni0p0t-8aCR9F(6%BWqrTtx)6j^l>yFmc?eAh`BMm9?n@6j@dA_fjR;M>t@IN(SZz9ObgVDN# z0O~*dGBpsNL{IU+>_e|yTT!ITU9#uXaYQ}JU_pl0s~WXsCj2r`%f7JI%-6vK27cFG z7D?dcc}_^8Nu;+p#9lDa*uRQh;tib;FMwym7Bcu8v`8z`vQ*qS2z&L~=HXt9Qsy1j zC$+Fie7586>#pv8IC%%y+8b%m%Jq9G(SLp9(CXKz(^qn+fpt+Fg9hl?@z4-&ALO5P zIl>xyMyRFr4pFcX?yf<`8Ogu@-MiQfC!E;SC$K5Bb5C#Ksyq6)d?>}#%}Bg~L#bHr z&4o3c6BiOg4j|Il+aznLNXULEtGq~vy>U`z0jvzw+9W^ugH5hFlQSgwZKS{UkYE`j z9Jw=raX&_=V(gC2-{GPw&xM5+WmM#jkb|!kQnK!l0^V6%846MDp);I9IKfgUL)X=P z=%}Igf>Mm}|H~4LC}On<4>k=7;Ku#X>%-Wvdl-)Kp}WLW%2&}rIJmyL-OsT&^xt$r zG%W^7N!UML{pDtyYKmh)Vu%{bl_Td6J^RI&3O3E&K5c(n=fMn*Y+54qiW=vTqn>e^ zW_Ui}(LOs`x6IdN$dR8TE*T@i#nN5HywC*eRClj1U>4O|LJYno9o^9?m;db8nM(Qe z*NO>yI(-AVwth!ZWYSA%F=>1T*Ewd2ng8Ahy^w}hM^}by${9xr#7UqtP2?nrGmY@+ zV;tjq@NHmN_dh-oocSNbU=bCD&Z3@zr1)sOMG>M*v}h(+fszBF5%kQ@ZGoelSya>* zgA$D8f1Egzd+(Vf@iDFhT;gfEgYNPlGrjm;1}~8RbELB*x+Hd+qm}w}-0@6WWISO= zkxGqGu6K^}D)2b%M)-A%ld2Lz%L|^Hyc}eb)Ut+$K4{*%_84~m#{zJpCi)=I`KUSY zOw1_JLW)o-YQyOwbhQEk7JzsP0rG#Pt`g$fBph0s&m0ckeE$dxmn;7ysvo1pHWNu- zSwR>%zm^>8CRh)@2#+FwBLhW?fC^|iVAOJ!zomh-MGgJRd|E{OTS9?!$2T_K(!6kA z9!2)q(=!uNI!A748r(>n*Z@DVhGp@#vZks<+nb$vxrWXMmykNTQnv?>-?SLR58|*+ zAf%RPM!tLaVQ?u3#iljgG`QQBAAEPMa<-F_O>ye8)r@Y3rOZ*U*S@cH3(vMF_@k=- z8wp)94X)+U1VaqVGe4y5|Na~;8^(U(P78;R*~=Iivh|acU4U=R3MHsP&^RtcNF;$1 zQ+)CY1ANJ5wpq{aBQ$`o)cI1IQJ!Uhua@6s@*q=mKBPRg-|j$0u27z-on zZ(dU=CX|OvTmwg+i%$$tX=x>YHzX>5X%oHb5;W-tSsIb4CxrOaR`eIq8R(iZ4Sw(wbY)rD{LU7iQL5n zo%m{Tn-YjPGD35BeSF`!0Jh*$INJgrezL8@nb~&-ZU}UcFA*?z+ABRgksmA4)#Q0Z z@|Nu-)L*qwiNAaIqSMu>cYhHS!>p^al>pPfq0+-MLEe@`i;Z2eWDLeTm4l9`k;CnJ zDI_|eWkF*Ep4g7XxTn(6oG{1z!Bzcx8M$6O6vPA<+I?k3`Zz3!@nIK!@Rl*$2R^$7 zKdFd{ER)dzW*bshZzndx9b$&zq=~+q^?Tirs2Lxn@hIg79c93eHDtP<#TEtB8Ef&E z6S)n&7t(E-|9r`@orq+Bl5URu%;aw(0UNUZ2I3mK% zqqi zQf)F`-yI?;ZACZUO{7@B$FKsU)M^9qR?9-CU=BnsXD~+i%s`bp8GF5)#NRfv!q6rj z>`~G`KRa7fTj_rZ9L?qRIngm!G*rosMI$H`w5+R;W%7|%&R6M2|5=Rn%DLWA+U*OLVLh7secd9V zaf~F;W+s~9Arm+XS1m$i?J)Y9v1yppuGtP5&pWyTz{}MH?$ETWql0K~gg2Z2UB+J(R3DWQTI>VUY72L1xe|Wh9#v_TDn;g5b5sjC8VWW zkd|%`SU{vDq*J<6%J+N!p5y%oJY;uvJ~P*xbIrn_>rqWQfG8GeT3p;vns7`lt6sts z|3hrYFMN-bFcz7NSnzJP&0d6%Fy8$6?q!Lj%_-#Ra@xi!2v`cb=Iw>x;lMsR*nJn# z{eJoFJ7?{Isc!zVo^Q7%L3@Btu)->kA*pR@-#Vqg$=a28T%sMgcA%*25HnM|b#=pNS^-BykZ*i<}3=5a@pvOAt zq}Aj80pgLa9Ch2Gyld1p1ul!)`=Xz(VFg#>E6?o;D@`|RO-*-oOtyDJLZJ0VaS%}| z-`qO)T7s4xG9n~O(cvl?WYbS#6DA0$ze<85bxMzK#JW8D*dsd|u*k*u5|e}SRu0#v zv|iXqM+)dCIqM~cNEwb_%R(9e$j*#qK$^Q-49-JFzjyhOg(&5%2s}?iozq-cSPhgR zyDX;!BQH-yoLe_L*Eq$t><}FCYz95<;|!5AX0|2B0v)w$WYE(=Q8%-==x&NO*mTz4XJ%<+~?Sm*_voafu z7rWn6%(a{P{RB|&a*vPxwz7JeIlSS8QhK(mxm&i}h$+eaMIMCn9~3#H0#d9J)KBaa z)pIV<4bqW6)OLOREkM3_3{Z#>FR;=xyBmypcJMB?uW=v@*%bZEsB-bC1Q+lwHiaeG$~W601-&U+?G-#XNPIpgdsuxxW6i1zJ+=n zm?Hx;DmL~ycdY^hj;)dj^=WwsBZq4xk8wrLxRz$if9Tx_{VoZ5c{BWpG|McbH+GMD z_gAhM?H}yQm)XNBUW5)Uw-1F8(`dlpNKhduH`%l=+F=k`;t!7k=8Awm&p7eDYt9VR zhl-OR5V6i9W0|E(5K7NYlFHzYSXi|CehSQCnphB})9*C4%QPNW*negY`eO(4< zm}hi(mCwc=72hcf^lIo9N%k2aD+SbF%~ZD{fY^HvjQGs*Cu(*GF5MXVff+l8z=bv} zT_0nG70Of^H}Tt`mwjncP73xdqB}?puMcAQeS_Ks0}Zr{eKBQ!4dGRZBgF%Dq;aTn zvMJ+Io3ANl+%}ioFwhE|U++41+(s&_U#iRt`5RX7AT1qw{0UcYtaW<;RQXhdDm( z$UWQ|hc67M&95A(a(La1ExW`TUo|!h6P>h=EKKQcS{xg^d~Rns4ESAI(luA~>%T?L$_7j$EsPNg8d?tmrAW?s z!Shou8DMoO%sqc2ZVQu{qRj$5L`p0@a|i3_pUvr5`&R3;eP2K%gx^&POs5n}Qc;hV zb~snrp}> z`WzyM@anb<@@v593YSBzZrWp(R9BFf=rRfC?bVAaf4EMieK&f!UrdnbX>^vmdCHzA z@sR{(c z8W|HCTY`fgrFIKhaDOjAi63=h>zd@iIcdZE-zDUDxN@tnLD4~J9Dw^Y7mMcc9Jv&Z z+<`u>jpJ=_u48!hfYlfBP5k_i`97YeLzYFKdz~V+DIR^H@>!Mf7tz^2=-Gjh+z51y zGiopL&YQchZ=~wI57O0d?lgqOo7JtfGFcB?54?>N4kFAv;fGXa!UguI0;_qtRB&lS zs2F$Dg8N_@7{*vM=k%aHOP%>==d*}hDMurO_Umtc!DncdAb|N|V1Bu9L}VcB^vBDWIF%?kl+sATVGYOCE_ z#OU$V`KnaJbl=dGa{4>v$zCnd2ma$kTq@@Bzs}elL?0j4>89?X-SrOZkk#oGZY5f* zkD6-i{Yv@NPTi<>#9t$$YVsDfrWb;G877T3Lg8APQO4~)obvJ;3seQ>!lP6_gFEGb zs`Qd}%Mi)FirC$SOv8x#xPnjpV9#g_?b)#0=5EpAURrVsW>vMcza8CjAQkYs`aBg~cA`<9=MOs&L^dT9MQoXOtJ| zEX_la;P^}zO3=O4tqG;&9`+qg{>)p7N>jSI!Dx?jOTrKqV0DpSj~A#dV>B=$I~gUy z^KV!H`vzfJr;VLH62mh4KT6jRsikIZv`XZ%(G9S0!GW?fEBw;wgg>I8pH zMJzsi>c{sH9$B%A1HX>~Z0d$$t9tOeew%>DGuK9Uvw+5>_Os5#M&(94t2D}A>m(}G z=l`B2GVZRO+g)f}bVN|3@~1XRT6v<*P-7;$B(s2pmOc?0hao7%lyh+cAwuRwm%D?# z8-_zJ%}?>Dv(jLXTI>v25Luo@H1aNE19Q|mT?<{Qa2$Tx7Cbel>;P`bGv*>b{whtD zb8+Sa>>%?MQ@^JeN^jDitGt>In3UvOseE-bTKkn$MN38VA`~MonxI@qIi8i*);v zwy$XhO?iIFj#vog!KbY*p}f~0x7N(5w%(cKuqAkqLATDBFi$_T8`h=bc+)77B&*Tr z83|vzY@@)~n-+pUNu{#*sCgMTIT*_^y=+;?eh)94$D3jol>Ap7W=8bO&zaQ0g}3kP z&0>Y|8e#~4P8fUc-!r2tvWW?36;1p2QSv7~VQzQ{DZ!npz1Uy~|GL`4d41A9DEcj|B zvQ_sJy20EkVb-pWtzGKW;_rXo8dj{8Aixk;eBeg;7yM}nv-(O{MLs?xHntnH)o(o4 zEILpud>yB!^D}4lz{l82E4g)5;7{H6-`AHuLN?Z5ZQ@-wkum-ixOiAaP41$@Yvm*s z$vxOqMN><}aH7h8*8SZe?%&OI?SDURZJzRZ}W#hMsqbOL#{f=jZbz@ z^-2usn=5Zr`Q~?PSByVqstj=dkGC>!-j~|{q2L)O6cxe;VOS@Tj*6gUG`a=G2!Oj; z&i^W!iZ24^*YeRzf`di~v@|;7QMcT>;-P2j4@AXwcx%MNssSHB1Hb(Rzy6?yrZh!$ zzSEDxm*EM|lcVy!TUtAkp@?I=ILO%+|MB3I?_k>Y*?bUP1M6x@nn8PhU17>Ui_(N5 zH$Bm=?10YyGj*effufl2eL?)t(o|_}HL3DPHd^Ccf_}_ni9_F5Yx~MV_Aixz`0ptY z4d2S@3>A&B1CSh)*2}d8ci>21;9*s<=26DZdc|cjWRU|)=eP^K*|c1_l1PVAy|aKb z;AJj}Fkx}PF2|pk*K0B{0@&B%>!CC|f@xk1P%LMrDpJ&MdIdZ1!kG)+&*^uzV$$ij zpU5tAxi(^n|6rxaV+-vcJ(1mxa4a=@L^%N==WaJQCl>9k9D5E_CpP#?*U$IuY<^GA ztxpSay}iIJiD%6ITy%P%4rF`5-0Cc3>$X(#Ba8it3C=s* zckmyC^|1g7z zW!;O4{Hi|CM+=@=hUNDJsZA`q{s7{cA1%+s{K>Q*>ZW9))e_x8$ndoZWBpj@@SSYo zYx3H}_jfyE_YfB?8W&=b0Ztu3!Q~8p2RyBq=(0A~?=}J?nWRkb(V5}Nzx?ACE&@>|1kMN>p zjM5KlYZUWyd;R&Mp{Wj`*6L^JvDjoVEp{QV$J`XB;x{5o;yU4O^2CLsBCuK7FW z93BhB^ZpVtB%VocNS=dNKOR5S?TUz2c{?DfT@cri{M1uuVO@R051c#aPyXC~BYJ47 zD7J*DjyA(#x~3;Kpt!_q!PU-HWPOZpJ2dO2CreslA?Ft5(NS=j!kumw(5t=aNDq}| zIX`#iK;t|c-5}{^DaceP{3B+$2=b}D^8SS?nGnnYlSCjAYJ8e9>`Z3td^l zIwPlMrv2n!S;3}6Ys5{-@9Lt#qbm;*Cr{SSnS=;=1`$p-3y&&kDxZ4e_=-N+`f?HR!=wr< zhs^*RV*~(S{jhnzHw1HCCx7dl>vh+&N>2k7hX;w5`thAbbR_Q1c-ja1_oLAw^Mb{t zs{jvP3>CY@3SqLs;tEF;)zf)--px1`Q)jeJ(X2w&cn-7SLV%@dg^9_91e3rAIQ5g4 zvZD#nSxN-{?QfkB5r2s#+)N<)P#?0|51d`liVT^dX;b-M95UuMV2Ri)>_@7K3}hn( z)M~!37@>oP2^A=G%R9KBY2r<(`tx9K|0obZ%b5z8QUwG2-j)keuhj?KD;Yc_&0;#_ zgF6eH7#T1LL&?$@dby!z1y$%6McVubJp^4`nnP6E6)5<&WJ$)|g7vmxl`no7dt2MB zM+ne!tHgH-V2EqClb_ti_m8<@08hQ+&~R#q>l*}sWWo90zLGGRw(k+oEMf)hN8WWj zFTch4$(pn~y*&|RUQzhlqbL`bav3cP+}+nSsp|jJH9~vee(CV7!I9?&+1M}oE3(hE z<|p4lccXEzH#+hURni9mG|5KT&}309aPywDDY;|pD~G=Nr`=!dwGRQ^HIKz z?CyLl6Hia9C8N@R`p~icfktXZqK^WFyk^p)){v{-0o2_4@=PM(9KbF3P$1L>Ath_) zonN-$S)foCmb>r34otQ{#)QE|ToM7DIK)3a}|vciY8ZWe+LJ6aG9i-;NRL|stMbYnF!nC?$s z(fp)p3{csvb;nRFiBT5- zdmg-ARUKYhRofJ+j~aS$)Un108Gj`%>Hd>1Vyde3lem?KRXZE1sM}GNJn$g_8RV&U z;8)>(XNM?9x@+`LpLl(fn?Wioo)JPcB5BR)Z^i>5a@^;ZQe&Y-j6d!_;92UO+Y6i|C_mL1=kJEkb z=e>@KG|fx&$@PWgPbo=n3U;NRzO6ItdR5Ta=P6v3X3UTu`{xUO^fzI?FcC>KRJnS-Pe!~nK6V~C zqyXjRU;2_Zol26QhQQi8@qzfPwSW&^DjuscNys=q4r#DJe%8=3K#-f0333;PERwh8 zi`n>WN^dMU20Vq`=ak5l-`pzh?9`A9lIm&< zGWP(N4~tNhK%t-8tRnhSa7^mruM8cD1kye-yH-vj)@@UfTD#TOUcynIcWR^Vo_Dw6 zW53x6t+7;$3$Eo(<;$h z&0n(T-JYHh-Y;&^vkw6-JO#J}-Z&NlZ1XS3PSfmh-E>a$_WJlD?Xnm+1XMC)->N+i zQpt!8#mA0WRYhoJv7XWlx!LRpLCBk2dt8a1a?K2SYO5#vGc;O&-%9LFqa7YSv>ttP z()e3KDZ)QmT`XLX45*zglG8oBt8)~;-kzC1Ut)mH3dl`WdMaeLRX;X`-4;!)uCGY_ z*W3t!H43sdH~m&$O<9LavGaE7akReWG1cuOr-D-2ESxAL{h;F(XkL^)zV2ut4Rb3p zln<%$TKxK??!a~QF;BpzO{RjwT(fA27T?V~nG$u&&gI8Lo6NOS++X!_0-PV3eGXjf zs?CUTJBm=^uF(tu)NE3$enV-@up;tXaU@n9joXOgMV5Mf4NeMJQWf({P(cw2$g`b3 za)xS)?Rf2PcW<_IY?x&%*-R_;c;We0dO^d8MoE;i1j|Z#L`_kaw=fZ105n7q~BX*#HL5~^tDX^ql9iW zIHZ?&a?a`xYYW1sFGD5e&U&`WIGS)JvkG@2me9mv1nX;7nYH{NRzXpl=I&{WUZX)D z1)nt?YJYw4=Na77yoG6!JQpcGEAmDeky{zBP=B&=iR}vSx&=pcZy%_<*-tiLL6~!& zad(eV66l%N;gkeh`{I^2CB*da2A=@2|g?=Rd~5 z{y-cHb=cb5{GGD(o-I70mWX1l?#5p61A?aCPY>OZQ5)Kb5E{_2Ktcr+Pq@x>M6Cum|z^}O&0eN}ztyI6NdBHEOy zsx8@45v^;qdBLZz5S`ybDjP=}6KvZe#wDxB71OMZ(&_1$?cU5xUp(kp+}TjIwmV|* zOK}0`9XLNqXqK}syugotFu!LxqKWvi@pa9Yb5J!)mxyw0uB;MUQaF(okGaQJK&~C_ z$K*u@K@!^QH7bQK#icP8M>TRCr3X2|LUH&ZER(8~A?;{Rv|}taeenfL7oSKe4GYze z3wXz0S#x<&^LFZzK5A3ou%Lo2?nvPw^#oFpb}E7AdFu-+u|P|5cT1aiuxo|0o?gam zSIDcZni^Z?>JbX~U~RKDDu`VW0uHek@xr@mGnJU1vF~BB%GE-kR7w2-_10Xkld_39 zf+x)v#^jQWjr?nuPD3LpyVGffg@jbYU(d1xZP4P;sPt55>OYES;P1Ph&#{@lXVEmg{>seUPt0C&Y z)Y}^tCS(9vw2%|-_yKAUJL9JT#g1*ve;Pr*qXgx0$+2TEen8&nL}(xSdNqC!nB{$W zLwNsPZChPuKBJ0#Wt$_0iMb-Qky4AUun`rutK)&PD-h5UEJ#*bKa8ywVgJ;eBvCR) zrp3DQYqj1H)Ejfmd$P^;*+WM@?1?xY(DDq7HF6-x-og) zz09%1_lAIMKbu(LhLL~LV6v|xB1g)AXdnWtYI0C>T|Hd|Uj%V|-S_U;vEOyAiB zh4xG9VPEUY3-P`as7a9x&y(V~7`GnVDfRr`JNqy&8Ow;^M=jldx@8pPPB!@7I)N=E zGGJBXs^^a(UUV~LsiPp+`a&ST6HOS5fB@C&!s|SG?(1p1MRPNgaif#3R^EqLL49_@ z_CUicMkX_vm%2_^rDm5g17<0vdQuNYe}X&=F(x5IWT~bl?LEeIY&x*6C}R#uT8t&Z zBRLYW+2yb{Shqp4aa=nOf5EFWJuyZx5v8KV_VE_y6ko)i&9=nG7mzS6ls+$!Dqxkee`OJlV~`!1u$Lw2zLuM`hZhf#i5A)r`*e zM5inOS^hHN-}!O2>e3HgEAP+7)S=UXKNB`-=EJ(xc?JCTf@_f zSxLp|3*tlOg28_!{p1Y+d=dhXUB3nj4EjAxIrl0bx~6x|!h-=ba7neap?#D6td13* z5xdtCI3@PIQ+`J6U6(#T>{p%-b3$~~O5mltyg9SCbW$8(1!HGTU6~B03g|qEA6SEq z8>ebaD^)H#|ECI(+a^wmfL9f|9=X})CEb79S~kaPzSQGzLfuD0VuliDd+CCa_YtFe z4JPEcU7i#O11j7G{vPuk!i+KcU>}-#^?Nr{Kzgl~7$B$6DAAQ&-C3FQcg42fcViN9 zRm}Ejm5=Yy5gGUiJ*JNAq$|q=1C_2enwS`udkSbLX(3cM+FoPpVGJy3L*%_-U#(hjB^2Wn`{nv?E9F2o!J@d^x%=5|9Yv(@|{{ zfJHBgLTtQSQ`SdWOo6dR1gcsmiydIYNZVXAz(sax^n%DdxrA@U9(|okiT@bOMZ5Es z(PKYAqk!7a_OBd84Xa~Raa9>@`j20dqi;==P-s||C}Bv_=*ZdCE#M7_#CHh=wBTgUE6>L4s;e>^f< z4NL*%iF!pd7X(oQQWaQ{|1LFXH_U^eh`1+0bwt}`(C%a;6)U?f@*BR0UY)(>J;@p? zxmnQ{Z!Q)qeU8mKnIe3*-Yyvz%B9=0!U&_>Ut^7fMtgG>ALc?Y>ItZd?Gm>5(3f9{ zajq0ElQ!n%455$P>33rpES@czFH#x_TR2iHiuADWbQTG6R>@Ucn4S(9$8D4Zd(te1 zx{(*}>3@tM0~k+{M?_#)-rAbYwaEp51R&U!K9ji?Y~IOL$=7 zyDo)~E=@h2JuJMbDe7+Xk{3bn7d-Q3)@&QJ(lHB|`D*W9x?*HW9hOqbytrQ!&|O&i z18^Mlw!#uI;t+e@tn|r6T*3v{l-h5VZ%f-<@sN@d6tBGu#^~A0#+QE52k)eXPh$Rd z@Xg2SJDXAubuyxH{wyQm(^=u2OP|;&F znLgnggefb4)$D5MP|b_tQyg$Dq#vpTD%L^Ki?_~VkD9omv8rn#99P%YoO4p%;wM#II=+AP-Sr8 zxVn-RH_tPk-hKO5QKIVWq`sAKs9PiKG*`qsW!UZO{pstP4;(G5kuA}H=pzq|JV->j zCe$1-;7Dta&f(^XWjtABstCwHA&LzZOA1xaShfe~;H3l})ALB)vsN~A0MTU)=nseAn~;1DZ**=s)P6yuEZz1I84G4&*%jm7RJ{!KNAiF)vW83)nPJ6L`#{#He!c^+@-lwqX>NM>n61%V|5fIn z_m_yCzaL*1E8mT83FEPu5C(~NTnKbwed~Ygkor*v~MtVx+u*!;}rxSO_${H@Qj zhX1v?@{>r+BPy>*oS~kX@5KOx@r9!qX^ZHgAMNQ_T3D%l(!i(NxsOFPanP$(?4DaS z7i!}+6`a%8w_k)Q8Gz2}-&MxU!wT>O*>&^cl^E=Rw4MIBHs{g zb_Jxc2=l~gCenK#s0wkKMUfKpY_C9P`zdBmpT8kC%>$ukAO7I8_#7vIbH;&E?%fVY zcB_v+Pf{q>Jn-KjQDKECXEyUpW-(9AX^SU?_8Ux3wpLKRykdHp58I>?+-omiIBE1} ztnu!urjl_+!$afV=9w!hC}ZazQ86?Hu&&VbsF$Dbv(vw z6IMwrwCRp}!j+}*KFm0TMTF)C)+zGYbcCpksD9u5WoID2B>!*GQdTb0p?N*BHL38HBir$la4 z@jk*kcctbnkh#QZm`h}CAUvk{nTxrt7Vis`(i)5I;lw9GV%lbc!YV{LaJCuYV< zSMu&;-R5#131n~B^}5q`)Q#fnk)ix@`>D$~!C#_k&FQNP(~4#3nejlDyMi+J`TDfV zfwSkwwBDWoFJ~BU(GnIxl>jMRCzdR9zIz`5brCJKT#@L8FhCX6tn*8mp4WoBfhj1I z##&CpTF!5`EUUM{H%pH_jPZitj>xC*;1&UiV@xMlj@rItOXnWuki-bTd^d5(9ITBN zGO^#ZjH)uep&ZMC(3W|&?TFBRaV1JWO+gCAZ_!%%-X)o52@Lb@s0a+GT;faEcJSgynj@!Wg^2jo4P1 zPXZVO6(5uNkDOZt!JmpLO181(MW>vb>McGRN(H&A6 z78ZLY5?~Cdj_`S+iaQT+lQJxt{L>cdlH-FMi+`Cv=u6hSLyf2f$7Qj>p z#Nud;QU?t9kJA&21g@WIaJv-rk~KO=aOO1WIiPB&ON2~E%S_9lBo4O&`^4sv(0D63 zGhqr*E})$5FV02DLE^?|hK#9TsEf6PHuw=TKn#xW&zt+!v1-vkwjK((_A}q$hl@XQ z^#`~RQ7T+C@FND=!3WMNxblFA zIbgTe*dYMr?#`Ab6>xND<7u&)#`W!>+UdQkLE3Q9+a-Wct$p><5eXkUzX&EdU@#Aj z`|EcFyn0{!93GbvS>9#uH)13k6s=*N-$Mt39`5zuVqK885tyLm@HWC?Vc7(YBsv@m`JEDAv?S zZd6Y)X6(3?t5_nx*!Jgg9TwEMhf+X9fR{z>G10ekwKVLOIRK>_iOBee()oUAm5E)? z#ad)G=;ox`obP;KdkfY$#M5sIU2Vp=DGl4S=1`nKt)I(^$ z$uJ~s2bmlXxUu*OiSM4XfX@R@8}`QFgw8PF5>^h6k$f@4?4qpS*8p#2Nwz4awinIWn56>F>?w@S_m zsZDsF`6P-E7~8-MF%#=8K5o6K3hJcZvdot&K!Hup%|!%8u;3F>;qt$k0XQk_6Hx_F zBe%bPd>0RajnT`%=yKb+>>{ge(;+=aYP~JlJs9^KWb9L7b|2nOt3}NSWw9*~Y(axM@{g$zY zHFcx?_oA;{=@(G6os9^iJO4a?JR9HWAESKHDabQFmY%%zF7-c_#e9+IJ@th)12-#u zO>z%bw(kQUwsR7e;Bi!P^%$p4<_={jFPsJS#+QEj4ZS{NyS$LI`-MuMmMEz{dlAI| z7-^muoVU%|7DDo?8ohW$qm;9qi}pNpXR7F$V)repfjzHU+Tjf`KfoHl% zCh8{_e8oIF58GA|@Is61-Hk@Z-w;z#OACcLaeOHE#Y?NE3RX299Sj+;^~_4n{)5$! z!|Yy}-=JoN(s23Gp99lkrKz43+BSbp&Q~C+s9pAa1BF1GK-&1Ake_E4 z!C9%+%ArPEjUZ07A$Csnot+>4Ce8_rH+4&KbJH7Z@8JgWqnPhjP)|Nw1et&0S`;(^ z0}r!tl!r+8smr&}Sx=ayJRY6vcZWJMfL5xS9LD-VudX1n2$&BgH!=bmjqRl}|Vjm1wZ<_WUCAx49yoC4YOl0%9yWPWNr-U!weK7{1y`H zRxk@22Z7JTa$VXu%aen};QHSCkGP!Aaea6BGtT7OoR8PG;IjA#_YS9sY2Zg?`k;Hr z-+MgGdr_PJJ~r98&w{Hfp&qpRtLS#6@biEqa|3u8476C_akjos*ioWVsN?wDQFq>_ zN6P)8RZHB}%tUcBf6bQ6eYwe8KBH8Ga-$Y$5iq)g zvpAnOS72@Gdmh25ldG-G6XO;zqj_`Y+~INZPDd$Z_{(lJji)}Z6*YVPK*#r}pLK>2 z_0692tyn;l>2)tUK2BeSs*>6CJysWXFgw+_%8M_KX^w@%EMhp)j`rJ=1rSOK8VA*d z!%s&R2}8pkhw;%XE_HV`=c?ifXBo}xkkJ4Y$`+<&8|KKdz#655jq4CC4g0$fRLu#! z8GDQwBlHS)oBL#&nlF>As$sqC<3{!drWtiVUta8=ev4H@7X)?bH%|0?&hQUIyQLnh zm|o`!OMY){w`)(Bfr(gqb`PB&;%|Hza}IC+yOnxmb)S2d+B#O0q-!?4v1FvQM*&-~ zi-L+P6W(9lH@pd{$5~pzK<_63rsl<#W-PEdqn~^iA4p{^($iT5W7ZATJvEo7^qY#u zbg?G2F+?%a`rP$47yb_ES&0Crg=8pfk*^l%MY*tpnQ?WCR%6ATK@rmeZKHo?;uCZV zxYGLG>Al3+(boPB>1Wg##x{K@Fe5!Iy9Dv%(bVV?nB@@VJmtI_BEJKF;ucoHIpK%G z7EU6)L~%P$TVtC{_Tr2*i40clj~QtY{JKL?)WXzea6hzXCob$*Q;^0N?C;t$G;dJQ*_d%mhDFK&K z-kd*s%=Bm}RJrL<8ztfH6QgbAu<%o59G2fAyrHXN7EDpj50?OugWtS~y(K$eG1_Cf zzerW|HZt{iBZZ%GO>=i5f`{zji657g0k9TAQ|sYDV^c?nHx5(6?bq~RI1OD~ zS=A&4vf-&=ybV_IK1Q8Xb9K^ttn^RXP23{Sqq`j-&d7?;DKy0`DuowcOiueC2jv>t z@{)B4_hmT83BKBZ#UEhrnV9b&t7OK4IUD|=lDdEr>Z)#frCi2}wCi@*TFodWjG07E zDN{%KK}ahoPMcUaX=4trVRmHcr9*RfmY`1P{VoN=p|Jfyz}_v=*slP7ASop9W~FL0 zT>J`m%844p68NB}t$-VhIyYnqd_DxlJ$`xH)-`mN5t z+r9&^+R~nKKe-A}1RKs?n=7ydlFr8yW=NC7ifQH6PR5Gwb#~r`&|=k?bs)FqRhvYp zxkj%^9?G)C_mu<#J11s|hZC%BDTklkeD|8{MBj+Mc7N8-UotG?Rbv4KcjA27O_gQ* zgs*WXs_@2@sO{aG+IYflZWq4sf@>8#dI+4@a)~j@0^WC7PA{34=7A^u2D~_%=--wq z%R}H7<%VW0ATv&XXEHozqCRcGz^T5+eJImQ0f1$Mn7``VrNeG<)sWWKtF5MlR8$h0 z&yvU}4QpOChF8=rgxCNxV#0fBB8hs$=HLGDZ%IokGThJ)g(b>mlU{F|3=4Y)T`hqp zS-xUQ4IJJrN98-YXw^c#S*g){cz6u7;Lj!aY_`b?GoEq(9%#)hL^<{ke_$H5^{=@e zl6(3vDo+V3RwZE;h zb=u<-|C8;TUudBL96$8LXTqlpJvla%Rv1nQgb;D3on8^C?_Qf7N^z)x)wxKHhbtTT)%LB64A9hm#~{xT~UM4#g_gQ&^0W0lyF_=*LYe)0GDE zA-iy`b1rqSb$w#raRasN21IhX_B-|?5Qx@aSx)*b6)O_p<<0H}vk#g6T|0oCVnM%< zY)w-4(M#XMAFz}RbHrI?Ih`SQLO?0Ywxw~uIbty?ZZjt&r`XOMyvsqc`O~bmIQeYS zvV)YVF~hO8J0W?n`7V{a>vg}K8Tn04O0|v_a9Q#E(ehUB%W_=fZ*60_ZaQNgw)M7G z{~knB)n)LzJSPoiOo(<3M{^^fsp|}$f5H>^BlYMsn6k15&|N?AM1%1|iD%R6cOX+( zOyVPjjS;(;IdE6;rQ-aZ9Qq5UADvbBrq-OITES+cQx`~&*BR0dg4P?9#>vH`+JM<+ zhZY=2{scI{0><=?Gd``lD=;4FFxCQ=T3{Z;lMrldm0wNG!RY=st$vk*V$R*rKOWBW z>B-$BEzhd~(F=_QV%Wgb3@K*L;vV5GdrP^Plz-1TGcG!}L(oj5nzKuwLIHsh`dW1- z^aG}>J7st_kEy{&AK(C8rXR&`t36r_p@;f9{L>aeAw5Q2{Dl6+2K|-N7vLt=^Vz-- zp89m@?XGuD-|c{S6i*5IwsOK+;BwFG!^bqe9#(%Ak=nSM_bpw0QQ>95PG@uV<3eBA zodHd~585-y&^(Xl3>{9tU7pzMtre>xw{x2#xUR{*1FSQs@cG~Hp_Z=nz0f2NBqTpx zv{UP@GnqVnaR)XR-7V z$Gs!Ep(b5pBU`!dl6QG7tffv8l2!ep8y%H0Dj}Z!EmavEflm+7*|u|e`jZZ^qkjly zjS^Wz;LT@UkSOFuhL%VON6e)m5D+Y6HkMWL>uvz@Q@Y!!RN!I?-)oWuFg#_w@0119 zzP1rpSx=4_)<>Vuk^W1gLV>p*u~jJif%cWgB{Ib&(oXc&bT?-sjzz*5@gY5omn`KC zJs#sC7ww`Ts1X?chY1hyKg!p=xU_zaOomD8S^RffxRsxCQ9)Pf zC4T*-K8^bB*J&f;ccqB9c?PPS5>}P4DFO3E#n+X{JqfNuQZp56uj9@iwa`OY&Q`dQ zfjQxzI=9T)xc~n$iF2lFmK(s z5GS(~io`jDVP8IMlQ}cDMm3S{X+A*c?j^ppX?%POW=3$=Q!J4W%xNH|aQul>8^ z2GE3!YZsvNpG;7q_U$0AUQslUx@7g5ZEL@Sz{(Gw&&^(Zv_5fPtyw98q^IHl8v$XK zk;Rs=W*p%FqJH;VNb;dPPW!VCO*wvx@i=l?zHir1hqBu5r}KG29HqUH_Ln^>(ZKBs zz1IQ1`YyXr3=7X||M_SePXVXV1Hb+HO`e1In4%TAi@%hVGt)Q0hPe)xZQT!S!q

      =1yDh>vKo z$D4_Xdn9%m{MI;TL;}j&e&t9{5-F_6iTtaxcfujlUn;h98n98<=1Bj}q9mUCOleNd zTe={&>YHZ5ydfI$aj5}QEZHu>s9BjLRBNz{aXp?6A9bpoeulFomqm~PH0&0 zG-k8(AJe#KfFfCaqBPzo!jna2e~on0ymfzTY)!3uhzz1*3<&zPlk^Ac-(5z){IB9` zDJ>D*Xdg*uUGtku0&j3Vj8dS|7MJqp6!5g3aG~tpJ?{{t7-F)Ce3J>`<*bmcT>`#A zHCC@fnto`%xf#{gd>9+k(erQ9dynTvIIsAgd>vxbDX1liHR<}WW@*0Nwk1)-GIyxs z?cSwe#B=}g-LFfsADS?_B=6(F{4g-?iBp* zZp{Ai?gI`Fa6Gfh01gz6&d$j)uO-5aV#nCpvJug{iK0y`{;06Ail?^-gQr#i?<3^2 zbx^9$GxGbizQip5{IX`}O@#yZMdMdx5d+rp{$FeH-(Qwg zQ2Q)+e*NA1hfEwdnte^p-~X{LzQ2FO)O;L00X28^N)4W(4;dI#kLUJW9xz@Q&HijW`Hy-gcLZKdVk|Ups%}%pad@xBKV4imiQ&J zakiUk1nB0)pC0mL|Er;g%l=<)SN;$6|Lxy)No3zbw1})F#Gta5CHmOcDEl@vj2L7O zk-f4NQH&+~K9&sOgCy&OVPcYHW^98o+_&$&f5Cm+$9+8J*K^+Iyxy<(Idit>argV~ zq;(pSsm0dtIz|M4`KUyFCf5z-<#jCFe=|tlcyL#wmp2m23)YV8$1qY5zEvVhk7>|L z`LUy3f5(}KSr)!4XL5K*Wg-i!+6n3@(dW>ig8z2k8T`62T^;-@w~VrZyP;52Ys4A# z;hJIPMR46}Q86Of_2V)JoR3iL$cR6K@-h2exV!I|3U0!-Y9zKvf@=0zU^@Bk{~X?- zhRM5C9vs4hE{!&otK$sb$!pGe6UI#EUa*|(Z zS)UD3a{ulWs2FS*t%jaj5XOQzCbM9eRJA5b5VuBPJFn{KA9>X?Kbzfal}JWN@UA?7 z%sudh>{l0mrTa{7uh&5ITGT7nIrsP`qa8F+SxZ*TW-fC(Eev>YSW<1@Jtw9jQ`~QQ z$ch-|j!pi+McH?6ie<8eUV2E*hGy}L<$cfeXBljQp7?NHN{3ga|10p)XoiO*>m_qI zH%{47eo_8yVW;J`+y2J3%(`#dpVCQg(IDTh3~J+83L=J#ozKiuR&b_^LA5Ikzb@Br zym$+KRw~`GU1Y-eVwU<77-cRf43I6RYk63 zdic9NoCS@f0is#p(_d+Z{!t3o5vfiX9N9~XI8H_Q8`Js$Ap%YJ*rRSjB4*L2#TW(N zal^;y+1K(@w_yGv!pD%-IT+Prfzh`o3Xjmc5HZ+&8@VASQOB7U(MF*^zVN;DIT61mV&};UP58FA*UKO@gI3dWF=op& zQ!t~xSMgE9#qp<5b16*QKNlSPqVQUGv1vv|*E1XL`Gd%WFy~&p2?)mew8diVL0G5EIEUK+~@mJ6Zi;Df1AIbZU zszZMtrAbu1n# zXby2_DhY`uui>Y7`jO&l=Qc&s1Hk~$;Pr0+bhzy zqc8WuGw%uoxx7tC`{94@l^r$WqiXXACGeu#DyDO5()(tse*=!(%u@+b3 zv)78o+{M0pH#v2Uu;6H?tozJX100>`tIB;b44t5C-%#iYM6Zm=tHIQHf1kALR}zA? zzHG2f#ZR+nmRG5K@acL_X;vpOEHS8_D}wIqS{ zB{=Cht>kUhGY80&PYezy0bJlzmScSG$66VwG1l;dWsvCbQQS(o+p%>KD4|9LzSn~{pwgjJkNi36k6rJnxauNpzd66pU409K_^gNYsoXx zqx{!(T7rB?_6HEDi!tNCSXyjtoM2RmfdS<(xPPzE#cUQymLBrtm zx@X&1)c2_eaeL^l&(ljZmqqjj6v1YTd_F->Iw#H)Z)Ib;3Amux_Dxm<&`jBP3re`Nx<8NErMrfdDemwFj zGkH0<%{Tc=NzZ^kwLXY+Y=<_QFGLouM%rF5VF9C0*Sgw*L2IuMG8g%sSpDIUP^5D} zeo)NV{;^>r9|r?xji{62eS*34*(O`JaK;5ZKQyR!-$aT_XPZmlZW0|f_E~AgR8yM8MFo5cMMM~W@t>w60 z*xg18F%`OxPV&HMLDd+|gsT9f*_zzQt`X1k17JFkF-f=&~}q{LZ=lop_U zY^&$YldTX4I;^{qNKM&(`R@w_{fiG46NBcPD;3>|DMhE96Sq}daxC60aGUvq&iwDH zeJpx)?&@foc6-53A(#A4&y*R=!-OT2UQF_i#|j^_B-4P=4_MJXswS|f ztq3NYLj5XZ8@l9}GT5K9gMqUH=S9{{$24gbz0UD<)PmAS?6fD-pR30`t(Y*W2+X9H z-xXcE*IMf!NME&R3OEyuX1<%O;qn3m=E&K@Ue~pOxjs+-N`B|u0j5pQoVvhytknJO zTx_Ytk)l9G0&P((f;vaT=9q`wf5NyJ14qGUwaQpc=jy@DTlv$rTV)%)BJ^&b(hu2r zSXs^F;RPU?eNS{Of#ga%^S%$}45kL3afwC`c-XdJ-eF~=^a3TFG98c?s1qQ_5oH{( zRwzXEztC1b;}7}wv}PLp&-1;HT^37P^N&LNH;lh?>-ce;b{v3R6Y({?)>UaMEFM+w zlUo{p9ECJ*@GBUy%ZuRM%7-FAUU%=pybV>i8+%NQKZD9U_# z@j_EEdBg}%pYX6-x^2SZtbc-3FSzP2Ngf|9(}4>--~1+)^ky)f$!xs#z$pHDF}0=r zXH)jGU&`|G`U8t+7$uu25mG-&oM1n|c;tIXNWUcpivaz8>A}6AJ>sI5l$U-aeCnu}Y$47+zLb|Tqn~h1`!xn{-l)={Bv^mO^bOSDdwXHqy$cb=v#T%CFV0wN&Hpg|S`I zCN)HH!e6lhIixSCW6GKjJ>Hm*zG~@c>({Dcqew2t(?J|*A&~Fr0InhPV3%0Rvgft1 zrZ>Dz1z!o2gp;FVEYfG|Fr0Y{6RDXOD%2CPKpullIp}FGQ1{4}mbP^|s}esq+GozRTk3HalQRuE7`}I z4VlC@WOPC1s+=<=EX_>16z2e2sD*_e{V?CijJD>gW{be+HWDaSeuvY~<|goqsw#lG+ zuOETqmmXkC3sI|+AzE-t{zZQJ7jt&P@fg1m&P3L4G(kli!FZ5r5RL`&62!M*6h6LG z7B>tPB7|!!%#fQ=Qo9)s0;=s7zlgmTGPL zsT(l&hRVsagJI;bk-hdKlcHQQG^i$}F6l$;)7#pAtk>xv+&pT0S>1LxB(RUJN-YiqWua_I;;%sMEQa`}-t zrnLOowtH^knHhTEMIgb%$2*X|>kW93VzMQ=eEO6$xpfko`p5S%sfD@?QPlI8@ag#N z4~0jb9WR$#Q+Hk6y_!OLH}=d;waxj)GIf4V5Yx1-9JG}Wi5sVuQbhWa6dP~TIvIjz zsyoDmRdUG{{ac|SzwfEIR-m}a{}ES3(@?^^UBeS6 zDjH<@HhdxOVFYClmw^jWl!Mfj>XY`K97?AEzrB+|Dt?eE?|+n(E`>cqh-y*;Y6u^` zFky)EO1`Om&ZoRlZ#ihN@4i}dNic1o;=8#Xq%G~h1;<|!*}C9ohyXFRID|{$>_op~ zqF8&Af>$iKrokwZDN+dh_(_BJkLsH2Lkb%X{psYxMQ+h`$*|##v{~Gi3d=U$24hxe zzQtbW1&&^T>~-#waPdiQ*&>fmcw=Nb40Qp`~xn$zEqF_D{mdQJ=dc5N*+fGOHZpHzTeqYr2 zPDtJY1WgBy7hQ-=2Dn7Hr!&Zml zDUzY<&xCzCrppEtbb;E$D{sRC6dR^4+r4Rk|ip6%20VE?kGT5bkxFT6d|UQ zXl;w`u1INww$TC{r$QOsmvr?Ju4_yIeOs#A(Ee`NZV_hGT!#a6i%A~B=BuA+06Pir zsmwpkIjY$(DjIKkXV9t|1v0pR-2j$(quj?02-Pz2D;rn)*D1Ym(-yD(RwH<~(U(Dz(l8I9>s{>Q9(+z$SVZ+h10#;no9$@s^^u zee2|s#7i@7xMrx%8VJN@1p&=DKgj~~G(gwcNir3GF`{L*cR7G7cX(eGZ*JcEQMTA8 zE^9Byc@6+jvA{`GM<^M(ptWBPlsMZzY6xtL&ux$-(Z*_L@ekFY|$Nezl2$H&iZ(`{~=bQ5{m-l=<7d z$4rqD7eRe*-ikR)NZ2xtI3CW`Y0qW7Yj*_>@Qc!j00{|V^=CH$d568z(eOKr;41`x zZ;{}=0sw*Y*wb-wI`DV_;K`jxCIEPh<&fIl|01ipm>)dmc7jJ2!oIYs>!S#WHq literal 61949 zcmdqIWmjBV6D>2X|@Q3GPng+}-Cq z=N;qy0r$&g44@nK-fOLzv#Ms*S{AbgaQW#hb}E8rUD0ta0&+p{|*@u_zUh+ zGBWV%rK5A2xa^*+^Cjix z>_oS?2%5*o@EWTQq)jcX>QDFyQS1~+3@;GA6TaJ|`${=_!v5_m6FUv3z;$IYybO43 ztnsz*A2JeHA!x`irTQnOJ&N}i>YFoG$rFy93hMWroYmFu9{CkTi;DMW3iq2%1P(kw z`SBvi6#iKM{9sSjJ9_c|y)*Qh{7&%SKP|t5)&l;$N+g)*9lG0p_v9c-A?W>g&u{qu zo3{kNc027v(yX=oQX57gVYio`bUya{FxKVsoN?k61Z~+7_(B(xytnDK;wuMrUs+ih zE%$vq2qlLmYTIPDwq{&kyM$=pQ-tuak3rj?y%l)(s3ZB$rOKL*o2s&0&w2h^ zvmO~01+MUB^?kkP``R}m`80sr`$%1vf}vTS$BnQ@fAm^MH6oMT$1>DUo@V}zRoh)> zy*-+tePlSyn+iUR zp{rx59Nz*-hU`fqg`RHwR@Mphy<%X-#8u>vdBdP~`UGvy5_;TI>>3;gApMCc*l#9u zuc=n1GoZbCr{;4OrVn>Ir2phFT&P4!O6qlJM82^Zr?@?56tyLA;*J>wJhftD)f>93 z27~Ryf&%G zJ1<%&POkV?Z!vZ#3w-j&l26{ zL;#fv(-ES!+YwugC1{Y)gP$yOqknzN7SliG^|{?b@C^%z)?knCPCpYuicW@<`_|k~ z%6@#c){U!3!Wr;X15wyO61wT^IO-$!^%|7y-)h0%ibZVs&D&>xvxX!j^&#P}=juI~ z(Ea?_Oj4CC+#BKSy9WmwAAN6! zI?jBa?^hA*2I&jnu)=z{x8grH+#ff)A6E8pulwUR0A43e6W29(zI@`7v^A7;F)oUE z2E2Ct8ozZ3Q6zW#pvq6S1LMyq--$86TbRYY_CIGCUTlwul0gA@{G)syHXbeugz~Ga z<9zSyeHjiM;iRZ>bX?|5N;E2eNRqkx+j<{p^WW{}iZZioz`PvhxN!Q)7)~{dDao z<_ol23^=bf1ad;h5BqMbVX7Z`Xa&z+&y;9(iDC+LD@&4c7zXG{{0WS`aDNzs-}EA5 zM1E1$xJ?9Ot5K9d@3QOa$Y26P5C`LND^yPqa7f4JM<{MsPhctE(eCco`|G2JO1-!P(=kZSYnFcT}`7L1GkrcDcfi6s;;iLLh!8{eR2nn9&hl|@iMc+Z#q<_3Z zg@JkI?K@=@DP}lAhU3`#O!CQa^lPzNso~?@)soAi^{2w0`RVkRpY2zqNktBE--{&( zoOU4W-)uyw?>TwQd2_9}}Q6^X)%@S@EjOwY9k99Iejl*5L}6QIy;2TeI}+I{S=+Bl zZ3`L7TU6-tRb5@{7uvk>Qt!(Ngsc+)p)!Cfg@BD@5)4H=J)1rLhS0{Vxt(IB3OqBkZ=>s&?`rDvw65zihn*+joJFmz-g6s35RSz@AbX@a=OW0_sY29K zT|OvpA3fh1vM@I%bXmPVTGWK$wOU(Wk9nDi&~m?gvOS}1yVZ11)@4tU>Gt=vP17FO z@BaSou3;-t+YJ~nSR(hO@F%R7#?|u%<@Mz$A{V#(^{YO7ih{S)t*xzYnL!)en+}Z> zQQA#TdmZg*X=y>1Yf)D`a4i5hEkJZC(P?y8a}~x?^%|UBsQu=CvmVrVST*DZ1gyDA zBP76^N2B{ld~Vheo&`6fMOn~(9xc{80#{w^7nh&k9h76z7o6Oa*mc0e4QC1YPMR#$ zSrY@^vfE+3SjPjfnAR!$tc_r?&UzzS6hn9xDyPbOSkYxiVm7(8nl*5%L%HL4tEHvo zHru??Lo0ME4a)-;V6N7X>M=pjHI6${mpKE`!9#a4K9@s6!g=imyY&ta)y2BkL0!~1 zuYX;-L$9wfZWZYA?R1k?R`j+<(zs6VsUo=zr`i|Y07u~%6@V@&pPcOOt^pcr9dL_h zAP9@n2Y@Z8e0;^-skh^$hOrH=qk+ioUXbO(tA96{Qq$6)g=m0(Qu*F=kv9M_j|XNY`M4qGW~(_oB?yVf zp#0?@cfjc|QY<;&0MVM?rum4I({^PzH%f32;9X=@>@k|pM*=-JiX>f^`RM!m)%!2% zx;-$;8H~+>A~1nRcg>8+Cxm!??7ob-Xsoi_@@j(-;C3qskSS(vn=z6=PUdq1U`hgp}rE=Ib1+FeDOo;FoKuLFpguC%x>*>#~aYE*nT2MzWR=rh_Egi>#- zs+9tHFuZ0;GB`zq=rm_PlKU?*pfY{fQidxsH-N|(4fwig{|O)}xQ%OSv$OrCi`6fR z^&dlx*#-bHAxO=z8;DMP1GA7cZN|%Zk8C7b$s&JrV$KSeBdrxcjK0XPH3c|{%iF7w zCHnl>em7lCqnb?`VUe2agNTaHxOQag%lA(<-TLS|AoK_kLiZd7as=X2tNVrNk9TXo zeqy}%dV9WQHD6^i<>2#ppiiF2U8LWbko6OTHy9WRZOMfs2;e8?UM2Y$kU(I6?j!R= zTZJMKA*OL!r=ChZTT$&ehNO?-+76RAPbtH`VVVmjR33l;Lvr5qbLbYJHDJRE<+}+I z`)+Lho3)=cwYBnlWq6V#_Ag=jmjFn&756wHFKt`S5cO{d)nQ5d`{a(mWYa7l1C)i- zSpi*v6T)-9;>Q*X27@W88F~5mB)xRJy#)e945l`wrl$vn1(fY$yA@QI0r@Wf?HdD3 zlYVSDeW6`%vnBL=A%yfnxV-J|1B|kxfNHy$i1O)XALH)=R2*oN&@96l|6rzcBZM|{ zt)zOC$YHe;iToc@B{FHl2nhli%ChTP#;ur4UbsK4*e%!rW<%vdU_n&F6k` z^&IBKgAC=Tjbq+6f67^BcHmB3eW9-1hO9u%!3&_>4|r7L^V2<2Y=vC6FcK-Cj`)Q? zBoLkbaRA1+$R&S7o^=kQw%dmSx$%5AH>%14LSqAH&PajlIX`-Pm>zYzo;Pc}-AeCySv$dr`qgg7m$kKWFo?N9Jfy| zvYyj{dgSS*Psrh*v_A4iOOo6h1O%|P0op8TqKL@(PsvBr+u?vq@Gw=l;IV8k3<euLH5~O~`#)#^Aq>rt>TT67ll-+5sq79f3@8-hqILrb(bx z1}pqpfYga_Ab(%~eb4o7uK+hhjQgOZT4HJA()+}dTDJ4q-=ouHDDkZI z#5-yy(=!s<25p6j!!@qTmGjV zI0r#Ye2k#^CT9j%#moatvEiVs`DS0eebBy-lxx!-r~z34iGd3X+}76CUOIV0udz1h!c6I4FhXXdnmkEIC2sz0TvZNX}|k?q=%Gp}x;hucwPFGhk&)z)DS$ z9P46|*@21UI7+ZD?A%pGd7~}XX;zz}Kc8Ygvy>PWtZpUgj{-dExnF?_!axPohv4Q@ zzHE}iQSGe5qIG?x$JM^~J`1*?ZE9?Qx=3&<3_~DwIh?dYBQ+*q)r{nFrnRpN(ARJn zX6-w@9rJBl5Xa83y6?JO0xDmaO#yYNe3XMs(OW6hO+sPHrit*;pK#5c42VLod;|bT z(Z$?SJ<C6!igLMdiqDa4YnN|(RKci+8-A=K|RNa?AQpURX6MDWK({Y~u zVxG!rB{2J%HoYUmbwzW=p3`cs14;1I&(9)=>a8u&>Qf%z^nAw+KY_x*4~eY5zWwpY zkEz%{`2zr^I>Q!T4!-m-c1~SCo(IJ>LgdEy^0L5R?`$QhYxy@hf&I6P{>chBj{d)y z{(l`Jx$LZb{xMpzv54o64{7WL3WJ)$Dx-r%2@a!a>MLs6Kc&NeGt!%xNb@j!%V8Dy zD++rhJE*C7uM&jyS+*`FEng1u+XZ`&a;pS(-Lwo3RJ^o>>)%_7)dqQ#YtP&A(i7fq zm6T}F7bLsq!GHW;w@YLS&Y}bLzdjbnC!pE$zdn{2I?Oizd#8->|LiT*3$I|S?4DAR zS$8KB@5|P3I(_*5NqCLHEC2KnPM=;WzfbZry)|UD6Xle`4xvRgu|v@hrGklc5mX`nvo{cV-HuQm0zPMgp;I0CPviy=s}mLV*@4f*99UuW%j#g`u!6iZehcE_ z__}zFmna3mI`=I7Pn+^LybS$h3TRI*rey>Bt6`7`WKtuGZm7;r#b_CUAM?(omla)H zw?D5^P()PJ`^yj=u(T;kdHVb!-G9h|wsSA&9RjQ{#%iLArR%=O<09v?m^!mFMObej zi=$SmaZ@W`Q)NVpjxod5);&uC1D%U)4jCQ>DS)-Ls-xb@3@6sUjAoQ6)G^FTb_j<` zFLkpr<&Cy$rf?OF3$|+SZrh>`@P4Dd9kwXSt;{x9+Bq!ug<8%h5dwDt)aQZuN4`U7 zO8#~88PJjqe*C`Ue%TvqjDnGh{Rc$lZ`S!`fdwsGN&tR*TKyMoBDhdc>|iO;;-CQr zwq+0FZz9-I*wuOCC^83QTxD{P)cT8DVv4}NM_voBcNb^mz2|;8E8xc1H7tnZ0{57{ z{MS*wU>$_TNf97}P=_#ZV>$QXbZ1|S@1K2-EW=BT`Bj^r36@A1r1!@%bcy@Ne^?`8 z3-Ko0@J;+#M6cLCcs|G(pOATK zvB4sV)nb`TC4gJ71;syoYD1Kpwz1J;x>u4$oqyCAwOy=Bsrg7~;OY+dbLp)r?1a+} z-vdFxu$>kG9+;3=!24KfPS;DU-55WPB|}U9KhAjZBj6)l<0?pV5DZ<`W#gByp7(F8 zRp|W0n;vwz!-^8eEap_OLBRg}n~}-r(Ml#P$LfkmP=ZH;pl}5y9r+3p7%Je{~DW$ zQ2|%0`v2<_-s8kaxy2tP=_Zwqa)Oo3Qv=`F{L1B%{*Y1TVh^)`^#6bWSnuL=9X*&N z;odWB7DVZEwY9e&@}-#$HcsBZcBP9uXlki!#g&{VOw5ZZeD6XhH#0F`SB;vl`tPWR zxc?$$(!X_XwfwdRnd8@i!)=Lppas@0HmB`DxAU?kfh1s;WR^ld7{xZEsN)U~r46JL zZ&M2_h)f&&nD}z5rqh9mrBeM14cbH-w?GJ`8n+6t0F%v%#~N^G=YOn0mjA1< zuyUaX8(3d2HEgKgzjVqvKKfJ!XfTR>`xfIkrYk{BnOk2Ard^O^BltS+QX57I_IrZ? zfh0*neihnV5})A!rp}GIc{fP$c{czn=LgVgX0lqW`(ag=VZEq!dfKI3q)W{z46I-v z{bK}Fvlk_3?|4Y@Hq|WzTO@cw$_s1jpFEC~Ko2||JnE5XA%y{8} z(InuHQ(sjc`{$$#JwpI_5DvK*k1-0sF;yjCl5!H+7DO`iTH0aL%&~NzKV(p(I$R(4 zJIna(xHm+G9W>s+-}q4~q2%M;8v2Q`MU`2Y!)X=bSnTGL57kvL;dZgi>-H_3Xsjb= zOn?$ia4^2Koinlm79$G5%prj#;$ReB=#mNl!zrrhOnFF3xf0{#o1w2k2SvK^p~@)d z0WShXu*cN7GoyCsK_j2I(9yaG?_Q#NS;Zf3VDex!2(B?acwxWUR37XDffykjY|i_C zC=Qj(+byOR*Lit)jYvG!M4Vcy;@-TMK&FtOIuni;g{4_#;TWmpFlOGWg&r(ite5bl z8LWqPqP1ac7LgmVqnmV1f|10((rCaI@W0aVuk*_8hyr;o;mFq9qa$~eg^3o~kQWi< z(XR->tmg)n{%?!S7DsIonRHbrHe|xFM8YNh{-g`~$3uoK7hPS90{4q`!@U#72>Ojt z@%YK#>?YTt2Zjhl9GO9?;80&}3Wyich7>Z0Bnlgel4dI%y?;3cLf6NH%uf&H1Y8v9 zk^o$O@eh>2nkCf?q2)oWmR85ESah+4p!pWjUkMWP5zACZ(*@|%@J@IDqRAeqfp=ID z=;$0ABP%RuRb`6${GCfYOw-Jf0Ac@$O39XS^Rr*B{WEya#D0{Zg1_*6ZVeL;GUk=+ zJYy+gX?l}#wm6X7T)!c^?S->P=Ug|Cp4gk3VrZ+yIblq;I6A4Mf15%SC(s92w$e9_ z*MDwNuKgI5LTn^$xUH;;_HYXD(o34qWHoEKBNvjSvP{7yBTarrIXr7SLt1$g`bLFkRocXGNPpVpzzbO9$wFFP|^)0~$-&0bA> zgd_4?IP@H=WTo7lIi)XtOv?WX9gF6>CL&~Trg3}e6Z7sAKA`X$VN+lk@T2YiIX^7X zIz{Y{!QrFvrk%c=slNI=Ze3N?Jjq_pAB>Tu*XE60ej1cNZ2~I~Q(}{CK3F8X_{&ke zON(N&wPC+T^Iip;Or+732Go}f#@kozG;||V$i%BOl*s}?h3KFQlkm6pt=}Ki7hd|= zJ?R14C+5SAn+;CBmlL|2C~d}2tlTyWdWIdKm9h=G zg|T7C0vaore%qbw*2~Xpf?ijw1+EWz<|U5x-9RfjF#wFtOL{dK1y9IcLRM@+1h)9W z!|z2Wb1#xhr`vh=QLFML3i;=cx-~!`0XfNu<}%~Z;Gtw6u-6N7X#VRgr6l=y%^tYy zF741KWoUXX%TbC@Yx|^=C=#WU_-D|J=CFkYpkySBgAV4WNjHAIM`dtm`3K%^tDN{8 zCA#P#0=p$RA!NH&xG~Jr7Xf7{H9RB6OY6=b;`TYbfao^Ejd{tExxMi!dgR9G>dMd@ zWs$8yJ|o(Cd}@x)8JRU42rIC(FKxz#7fM#Pv*Fe(Ih7FD*c^lLee^hHZ$Htsi7?O) z`>n@>1Na%-$m9MlE&Q9`q_TIH_dVx_m*6k1w_THOVxpyuy!`_M2T%MdETe$A&mjef_{nhw zZ6I=IDuPm|@jrgm;tVwKvoV;<$97`nm4{SV5q}%M^dRWxrV*F`wIy}1$wqiUSc3iK ziS`d%_0t3BR^>8zv!uY%Cas!0`+}*Rxo4##&Qr5vC1a)^z>}z~+URAU8-2cS+}+4@ z)mX_vK8$?f>STk0Ce084!FZ%lr==PlL4ce?Pgy4{svFG1H1dTx`!{~!D^%9VcgRv^ zY@6p8;gd4uBcHmj_SF0c$)8?nx0d`d}@ znyvZ+)X+4g@bgZ>j}?vdoPras`7MT#nyzk@S0u9;_Mi6|1QPUuA2U=!bp#b@()zAs z(4G5G$1jDQKOis~xo}JknP}w~A_`&+xrxPPfF!K8YwM&$)-@%7e0A6Z^#($HK#pYR zl^uV8MF5LDu^jS%=4Xzd1Nx3wvNSHj?1D{sQnc*$?z zGg`gB`m@U2mPPi|SXI3uFQ|{YwRTLAE~vvz&YQGIB{Fll_M#~2yx>>ao1Faf_qeyI z&GU|rXqVGJ|HL8da))y8K2(0u6Q~Jl>Od;$vAsWWz4)#=16!>gE4x@QD_;xPw{>j&xh$He>Qv=A4C2wBBpE>y{8E=QT@kPq2 zgXlkR(*lW|AK1ub82o$dSge~4pJjS;AmP3dQy_hj?vxCL*Q?-_|Df|q|D8V1tik@!3} z>r%(!GmS8Rn_;8@$<()697z*us8;0C{*?F;Y(1%D23eY-&b_FXa#bXEaoeVTq{k<1 zGNQL=IYE$zjF%wuH5=6o&$H(mQl1%npc|pdlp6FDY8c6b$9rr3$jB8NIu zC0t)2!fr<7RcqAkRM}-fl0R3|n&!^rj1zZll&T^V@ytSDsm~ktK4mbL!J|QN&c%c+ zod8Ar>E4%DikeYNOK0>ZE#F@x8zo-j(sOe{{&2ya&YXy@=Pv^1MW!Q0+Nr(QYM-;i zRDj$*6{q74Ncu(5WAe$pl~-<@(wo^f%t*|uE6qr~2|3-aVXYzEFn+E+zpzCXr(DA` z1C=d%Hb$XMxIGd)+{B?b4JU20ArjUL3na`fr*@PvcC}#~IaZvKY#HzMF99Q_8W?G_ zw^Q)r8g@H5>I6j}R~>eUvk|qE$9DE=meh0U9#MvWTWRT)PN;UO9Ef3RFb`}sW8iw1 zH1;JY_~GuXlp04;nXaKbCp4%kjeBGGCxgSGOd3Q5Xo{7(uzs)f?1nP$lFs4Zc1w5vjtXwmfwXH3F4$gzbdc(ks(}uJ|Z!v*nqJd5fOi+{&Zli zr)(p*msigt|0e=|of@~`A@M4v+t&2a@HbN4R$t#pY@lId>cIoF==CXx1pIVHvx{Y8 z6xvygu8&4{E~p`mlgP~*tOd0JI-`r;<%kW&_IHE`~B`TX?4&lYcovmvzKhF zh1YMw#H#{+E%dyLsX0Z6Y9a2cqB3TiwACv^C(aSem8HYS$BtlLZ$zJYRA4J9t z1z}a0jUN87oTaez16w4oORVhf_S&ZdHJ55MXsySG0{KNwrC{ChuIW%2cR`>$Dydx>?hc02QbY05UxIamL?*`9BA%(?KhYTF zRNnJT5LaGwRdkWKJ1xie206TS@jqT^3nh^qCMzu!<@*JcF_61EApMkO5^B3TT`bhu z;JBaGV5v3uXzeTAThdHZnDR0#b!|M++@o4_grz2qZ12uZcYRxIl78dNLgf!` zoNO~4F~ldYNU<|!2*bBF1eO9kw$_qT;BR)t$XhcqIcuQE- zCRp#8*0@prBrWs7`K_Ukvs|`gP0Km@yLPMg@68u${(6JHXpU2=3G|GT4G82w{+kzJ z$eSXnnWV3Ji^KE#3d2@F5jONu$VFy$pCLb(HrDt8!@WCoR8IrLVe_uj_ zqs;8sQbQ9m*M(a zyeRE0PsTv3GaguzI9F3ih6s8uBo-nuU6E%${dFGS)^jn(o_sdz&;~NYZS(X7Lts-0 zt&7Nhs$}WHM?X$uuSwxUnpvh?4b~U@m+&FRp;jvt>X)oXEP>d)D}8MvTBV{LnHRUU z>g;%=StdvyNm(W2zK|M%E3DF1+!DdPfvG7L6cVOhK&Sl4p%#^*h$<}>jOg*mmUs6^ zS0Q^`j8`B@!wT53pJ5w$&pfs^c2VEH_pADX#mg3>t~J>Bd~DeIDrFYm1mLjf%E?+^ zB$SNye6AA>@^YCn!*O7zdef1IlHE(Jt<7h3hIK|JoKR=foH4Rs{>$>{kh6ftUroku zV>@Ihns^y|`p?JQ%wvL!UA+;nJUmnwlgY_Ah|j9WuA_s=#VR!vnP9=jNBIUYLzb&{`K!{QB)9ub_z~abJ6ESTq@0q<6gR>a97%K9H}@#(?)6-3jcyrN-gCT^ge54c_}L8vbQ;?-wz? z0)?cgx9Kt+$C_xicmXP@O^4jCZFDN_hvtH0|e0fO!n{U4I&sOTh>Siz*6nxzi zQV=$*&l087@SykS5h&`7FL+4$Xp!+ckHg}DLiF7`Q;(0_p_q{nzFN`@9fX%yF1ZLGv@M zJZWB5(4$O|u%Ia7dJN!sKDBl$@?%eFr8TUMQXp z!76J1n^69X0vk4qxIpmtFU9y+C_yY}8Q6|?&{mSNf3zU4|;HS8t*azR<;Zy}rO|!Zgs^{-xO|QAF-9P1B2NF!b|GaBfnZjMl z7$aAi%NL2Oq2UrNmB;%TLTjmCAj~5k=y zImgK_B=EQ9wiCQx2^@jsLIZWt#Eiy_n7m#zEwmRx7*3?WT%LH@q}iInTXujgzv)6N zL{g;ndDqiJ1%gi{!9EFkdP;$Bn{7~pTp{^pqHYIC(=;RhAYo#9t>AX?;=G4a9$l1S zN$JU5X#VCaA&mk>-;Y}+4o5P1)zX&o$HH_V*RN>&DAS15Q6^3%YcH1#bUEIo%E;s! zN6whVCv_&eiGA;!$IdrE@b}(p1nq@*n-X=}NX)>twAsa_Slk2Dc6Cj0?EPFDgY@Eq z2Mc57qhom64I7>#J>E|2=%vG&pS+R;ba&;<<%Ez`%SyZ9oyZ3WYHHU~9h$Ar1!cTV z43itR%G>h*%CZeZO++NJIi(5SZl_6f1SY#+vB87082U^0vEkpkp_(7#MkayHhmPK& z^UK*nte2r8ZJ*k9*N{+VFV4JPrB-@Q4ZtDL5Z(`sPNL=eE1hVx*8EMWfM(|0`#!6u z=A^k2vAUd46svwRn=-mDqXTCfz2!|T%>72BC`3x^9Pg7OZAcS4Wl9;9fy{>oY&|&B z{Kh0Tc%wg{FnD=Ct!~jG)n(#rs_LC5suo-mXQr4v+U- zQREafPn9qQADYlvrk>o3-QyUeGG~?>1$Aj;4^qpfN!49>&)fIW^BP~g()rjiuX{3q zjtf}=ey!aS7*VT8{>q*pSgjs5+c)aA%Y8q}h^~`N_iK$|a+#h{^sKJFequ_)Q`W>u zx9_5$T~t#Q*m@KHLZ82T7#T}XcW9^krJzksi&_0$(nlpHZyiPS@N@)oZ~#YVwQWt< zxL6g)Q|~2YSRK@SX-+T?__0-QeswWYAFFvrnnWcQ8Y+REK+k7IYubfYWL@^)KIez8 ze854QxsFQODnVP`D_2Ht8-%)qx0Obn7?O5=BcuY1$=ZsJaaN0L2_8nT50$Qn#`fg! z19WQ(FLHZ=91O*nlXm9K_y&y8wRZMNT->PYtg|ihL-nZfQdL*NVhqKeYoHy_xyEAR z#liDSh$zGCR>>;)BP)@+q%tF~|A(o$lwd%*gsi%p3mr_>fbM}40##L#&HhR?7* zCSjWyaC~^e^^7!*^JJx>UX;z9;m#um`cLYN9^8804_-AR(OY$V;$k|)-WS-KrSP!N zNThI18t4i3&NnzBOPAXAicO(I$4=v6+S1<`y5$cb3%@~Yr)ClTT(;P$w;=3L!ZZn@ERuh(gh z(Nl*&L>#r}I;lOf(RW#$H;?sChlRkM{^B*clVt4I$?r16a66v5$^Ka*hX70MXq z&4H|U9t3tMPh;}k^Pobc02riF{#}(b0!%O0)iKpsCAUv$0FqzaA)F9mU(0U?e@95+ z@@1X)&6&5f72XkXl?)dlNwz4pR;%`2;_|Wvm-AhU`SyB{{#s60WP0K(e(jL6ZcgRP zlpjH+fh;2-<=@ChjCs2yo3=|etAB%xhrL$&2H*ubl&%>bTmI68vV4%}ec1#DfN6XIkfQ_@tnn;EuD*Q2{ zAd!5s9eNFBP>iu^f`<)H#E%K^u2x;okAMqvi}?$#m3wEXg5We;-zToF20w9rT{w1y zvT^^iG!4_PXlhmn4{y7xnJ}o=ziLdYE}|UI*6Fh1*O#hkb-*F?MVP9( zMy$E*xMc$o?c?7&6i5v`sS}Gc9dC@lH*<~%9h)&nj*hBpkcYslGK4*=*l3f}bN!8O z+#wngsyj18V>X(eKbaQ>c8!w7bC{enMx0i`lf-<4+Qqb4sPdZOgoW&tLOjVqKl3fR z4XXlG!ax4J09RwM zP7o>&#JKCu3P+6-kA2SiILTY@-v1a^Dk}FXf2yV({F?+Qzbq04O!q>;x>CyLJ@8wG(m2@@T&f5dnu+-ITU4l(O0borLhH*F-`!YYu9g3^|z z33z@jEy{*SR52F0xcbb7_#Mv6Xa!<15!;G~UH3edx4_3oz|N>it$e74l|qvXTB-Z` zHrJX!Bl6FcQy(fdga<=|+qT==y{EeeSGwc_laD$|>^!Au!facVQyD$b{&CzyVK%1; zG%!eA^B^PUqUqm~+u!FGsf*e;JeK+#+H_aB@e?sw4VgSR|4n3CcSmm(<(mj>AcAz} z8XJ|KjTy_yG5CKT{;Ii7ABIikOj8FEH7l!GnH|{TKJEA$-%|Hmx9tQ%EE_$_H*Asd zlZ|rjGq-T@Qpp}d#E8E%cdX&onf2FRI>d-%HH0Qx$fRXda*3nubcraM&#)A$A=^*N zTvqF}mJQqp8gt@!-&`E$V3~98EG4nj@3nGI9)=4*vELnwq1JFMv7GS3m`%KFcm3|` zJcSd4#DXd=l&}z6&xWn2vvqJje8?NxD)MbnCpLt@LW3=;uC5YS6P;PqRsCaS8;up; z*R!0a*R~8CS}92F?Z;&xYimivRQwRJLV|~Q4uedOqMs4vn|lXCY-W)oF_IiV$SA)k zQL`zdF$Bixe7BYaKfGvgHS7E%j%xmG*?)s`d@}tl``OqEBcFc(URu3trIRwldUW`( zyjt0A_QAA8M<1><+BXmV=JXrjqdA{kK_NhE^m=f(-QMVjm?1n7QDwR$%{_1C!3#l2 z#`2xuF3C}mR<79#DVi$kSVxu-Mn~;)P`$CAyGeV}nPGP^F)2xXCIbG)cQGvPHeDEM zrIs5|-{8sVtqBN3w(@K4K}CzVIjxNEmOd9c3GL9IfX}#868m!e(C3j2*LH>;69aQ>#b4O zQ}o3efnZ^WQ;f$4dh`UHU0mz{&a#`E>x7%!CWCt+V@?-;!>pa00|rdxb1F&2a>ajz z)wh^X5OY#XnH~h^XPMZ@QeA9Ywit~VP$g#LeA|MOHJX1zhjjx}ASy!H;Vq9cxo7B3 zPCc3|_1QGlbECjfR+Pvn-GK2NJYy8*Z83Hgg-MMw;a8y=Z1NMcERvc-aYIKT*b^G$ zWu7cy1OdByBNx5fdR{`EF-J@rHa{Bx_@#{B&g+nu6>l`yCz93$i&4tU%DNAU^@d?L zdXW`q^vQm-&dIiCUDoB{FAo!Wva7R+fXwq`iDZXGwIeu)3y2g7q*<>J@P2UjGfDK2s$l#~s38PvGH_)HdXt#EI1@`^2gK zYwh;;Ct6+e4iZrA-gJaJJ|lmq`vsmr>npwGhF6gA$YxV7nkfp0c^VH7N4n{u^h8QY z^49Pj&O^iLB2NCX{N@9b4rBM`k+Wj_NR2>mO@?w}UY@>OB|038pbvUM$&8Cr#)w}d zfFl;kD#BP5-ez2FWWA|_jRtSj=)QAGYOtF>ZAg7}IbMy73+qbzo#mZmU zC`gC^bx=>LUo zqXOmY#5ZfaM2V#1#3LKr5x;bBLQM7M=LDkrZ9t9bAr`5OIxOUHLxFbO;Yd#6xHX^| zY-TEi2MyLgARU)Wn$yXj*;M$Y^Z_1%nd1F;MZ z`I}iywVvqB93>c)=IdU+oS2XIhu63r$7?uqCT=%osDRWKBlXhQ@wE<@L`(U16VVUz z5)&aCO&1fj$n)s~0PPHR6neJh%OT@-)Tjhnba>!Kqp7N+11)z*RY)&{Q4=qwSdLoOoJf6p-zM7C^;fR zGH!I!j)YXm&95hHFPOG~Juq!yRZ{GN%CHAQ~* zdK0g3v}7Sy_Bv$#Ed}=2`mOa#zW|kHCE;|d-YzKd>j3;UB**#b`OeArNYMkyyG@Zc zl5~ink!6DWqBM>>oVf>D;xmJa)0t;*YIJh^8*99+j9MB`Q%1_May!K{EQ7{jgxgaQ zC6V}4h*?6JJF&a_TN8b3{s$b9JYeTxBb%k? zgC*j&VTBoFP4BnrXKK0Wz(>D{`O*O|Ojg>=L!)W)yFHRLO|_cfxZL^eix?@lUgH#~ zPSOm%W|R5>OjC+wYZ!Z)kzeEK)PR2+cy!~?lazywrqTmb#Eo?E2ImbeYK({i0i^Qx ziUS+{6BBhWueba2NGW5uVx+j~raOpjyT?IsNl#4~b`4V04uk@&_9T6V7vNc*lNOVf zo7uD3B`C3Vja}Yo@YWH21bW(h%|M_1-(3%Z?C8i1Jmhp!K&qIyyXn0cJLmvmN$#PCa()u*e)hm7Ws*SCBOp3C?8NxkgD%qW)_N)CLZ=Lm3ZI#dqsZAv zFe0MWYMBTDg9bhb&Z;g;u4QI`JFBtj7&GbgvX*v(2En&;tX=`$h z+eNZG`4(W$hf#ZyI@eyyoHMeQp>1u{JbisNU2;2|lmAkuu*In9dk?(qen^i>vMJ6o z-JeZgv;WQlsOZniFwO{jKeD>%1zIV@j9Ag&`QWylT+AlnY1g;*0w0S{cU@uIC%$H! zaU@9+dMu1n=i1)W=ewR+{-z*F#KdS4vi#?{>?D7eWOS(!o&T9YTyZQ+2<%V`;YD}l`d3D~hQVADkEo1nuJ{X}4Gy9gt6d4B(j<#H4}D*PlhhVv(uJ8 zxo%9s(JKgXk&^0u(fyKgyLsV#av^x~S#wrzJDHboEG}Wt)H!$L@53liSeM@xqLBx2qk#@61mS} zeD7L1mM1!*`I(7v9It{i2hRn(uM} z)AeH;O4Tm>nh35KmJZAf2bHps(4%$zn%C)b2^B~~y>AVoMaNpfoGo*&i@$EN&jNed>~Ft=;@F4P+%Lf`Xvbu1LpZ(0Px#)^i!C@76LztoYd|<8>$4CsHRH*ubD1rfbo!wx1ZXt96J<3$}bm3rH^22M)_Mmq)_8*+v zt}@t~qK6emvxyZGd&Z9}yqtY&`tQ^x~jVaeO}v)Y;9X5R{D^Uzj%P#SB~W` zSY2)6k-;Yi^0unJ4&KpKrdQGpW(6!?0P|g6R-12%le)FFBQ_STDoYuYq#~| zHL_Edv8EgH{71NXKSE}JuFgBLPq~7deL`&wK@2~~Da~45S2Y{nmN2m?c43QW$C$j` z#tmQL?G+-m`nXiB(^Vs*@lpAUP|Mln@=2|^tL|UboVT2*rW5Hba|`j3ITU$ChN*&% z7hnEVNMLF35gB@|a!7s7uyGYjl+QVMeY{3;(&Bg`1@iyQ8(~nRp+}~I_o}IE{ED5> z65C-pDxn^#|9p7R7O=Faa-bDNZ^6RC=pMejkXT^edDofI}j@Za`w1rOHG26Gte1WaP9&RrhKbBp)vxM)> zuD0*|g-NU(w&iejA;?|KP5+0fZw`+1jh5cnw$07PwvCN9w(X5Kn%JJ$8{4)wm<=|z zZRgJKR^9r(s`-DW-gln!^y$;xM;MabepP&lMjT$cXg=5A*s%AHbDMNCf6usFxyXF- zLtRndBg#OX0+2b0HcC+!f5iU`(v{}>#83-$btD020qB@8!?JIG(kx56tXm2wJvE)K zlhGSdlQncbLY4QK|Cmn%Yh1TTI$Oo(tG0>O(C_GIzwM2OA)ZhQlSRZ6x!W!j|2`N0 zpwbgadIV5T*tc)-oth?IT|I|mGZa;ENV6GWPGFx6+@4% zHHE($901E-!&$C_~bKaXswMe`W z$Fp-g5kwRUbTnSdGSKn7tp|fE8pRX|it6{P6PoB(1qUrH+}V5R$%a`E4|BqS2JG%! z6=EKG#7J7(Wo5jK5l-?L=zE{YafBRYFI>=6o1ZtP0f^Ljh!87TJ)_jzy4*5+ao0||+6^Z8*QE|@i;$X3UM^AaL2!H6YR!+B*BhFHsRW)n}NMbt(_4`TmyCBKhgNk z&PP$A{VKIwe9x%rlE;d}?e=vWN9VNxRAj_#6CxOo#QlfwjD0u1qll!g;BeeAVYVhIl{^Qj_ zA5Y&aHHpLA(nmB`LHLc;(xG`~$CSW~%RrVb`k0jn;rba)@^czXSEdE+^*a_>8kS~g-E8DC6G*w zaPU#4sXp&Yif(N(62&?b&1TH%SIsP*h6mi!(&iX-MJYnos2`7Cli+3p#J2y6p(jZZJ(RnR6UL+HFPO^O; z`>VPdQ(Tdq_?zqd3p-$LzjHH_Mj5MkV*ECkk|iQJMn(91H=eU=OSn`h)&ZfIew&V~ zqEuWCWpyzV2;y}s2t5slb{QMimiG&|WCpa$712J|2J+4reGCf$sNhBu^}D_o>Bo)F zpPuFBb@(0%D{%-fH&a!c$5~7l5ux0O7t}}6swuhwrFWTQN9^u=VA=`6dfoPpFICAU znt%(~@BfyRvr7pApOXddUO3RCH?qw=9g{5^MJIT^tIeKYoVPBZgh1vjOq1S%rlCT9 zmC|m%wKsMiv~2j_)n7z64ic6Q8)K_843BaYqlq&10(*9TRMe)B!4`cnTRQ4G?|CSp ziDv~4aZ-1GAYbq)6&Q@`mDbqhhyC9h8&j@tmt9%Y!+)(CL9>A^4}uC zI_cXa$&K5k>#nuUNi$k2xj%Pb&VW75_6_wWkTCZ^>FPxb)57uDZlxlfGOgR6=kt4U z)gsY@GEWeM8EGMX{jtR$&h?GFLpMR_)yS4+L(0bS{y3|9NQM?FcULCCSW8nWR!?V!rx# z{c3IlQ>HPP{r2 zM}1{Ba5ZcjArn8|{}?Q7;PPpyk_{13xC6s=rzuvQk-}3cz1w4S z_*R92Q>=P!;1Mokk#kTrN*z+E6^sh-qI}#0d0s$z2Cx^A*MinMH1b-`j2<8HpU&}| zeBm0WLsa83Jg{$#WK&n2y}pD>pf=CyN#9;)FUJTNL3fGlqSg1{Np0Hay=2nv+@Mm6 zsXzMpYA7xS;SX9kCD1l$1$Gdrwu;>Ws09T0utP3AwK-4ey=(bPBJpY-19iq`Zej8s zigw{FH6!O(L?n11*Y*H^Q6S-uw7v67slJcKoK0URe<$njZl6)(sycK^qbAkhQeXaD zdw;O34R(k!20m}f0gJK29#XGEPKEg&13GIBEzU1w%)GwTJ;43gUT7i z(w?6_zN9Mni3~T)!{I($N0gplJMTJoz)b8%^pjh9duM_J9dL@7#I}owaMw3z(=P6$SpwU|T03R&rOb6atg6qSeAnc0d@yCTBAU8;{p{v zys{s9v17N`N|R(=t&pU9@^2^FcJ>ZRjdKqOJA9bU!Bh?(kDqQioCcyxnDc9#y+fjwlSV(l9*(f2GWI->vW;Nb=4JD`_$ga%h9AYV@x-3IKh1OE=U9E2=~tgc z#Vaa9Z1EbF6cyPKYeuF$*DJ?s*hjY8{v8{JXdNTX|0#R37L(|lw4!b{&y{=amO7pk zC#s8Fj>E8BV>sRqv2i%RHfY=UgvQnWB7oHSIH{fP*?TYZ$Y<>CZrOo66%rD8aM(rn zXoc{Cb%Y%&rHZPA8X2XdJEI@WIJy?|tF#ptm_vaS#~4KOMDe-bw*>=VCpGC^VY|Kg z9U@aagnNC%K~}cz{8j|03g+x)7W@1qYRW(u{f@tT2h+kmM(ENZE+TfhHP?fWNBqt}zD(VH7+##Z_$7w*rpR{f1O_Ip|Ww_9h)T9&JB{8S^+ z1ga)XfUqbd9!2T#19kNxcHRczW5z=V$lZ6h{kHP!*HBflnH))J6!av)&umu2x~lAF znCR*0m_qu*QvU-y*WMdPOv*(_D_(oaeWrq)-fOD%&>C8y3sp0DRDCpivqgG=!)!fcl2#M zuj`?zY=kWiU!I|b-~Www)K&h6N}7KM+zkJ^F;V-(F`9JfF;r*Iv;Db7Cti(S7RkjL zL&C(r?Fh6Qk9HrA6R}|upLGbRr4d#?TwF$bd%)3(4bvoz+&9KlC1M%6Y3|5mVH%68 z+ursNvP}1I@Pka?=(pxH=G3L0Q4h5){2@Mu49ccdD04Q*@!ITGD0g=RXNS$C6CmSW z`4g3lIIwgaU<|VX9Mzq0CF_H14t@`mX|XuNd5z!lFGNAB4mOEevlvRmsD6>?gKmK9 zjaRK)eya>@_5v9{db3>w1>SY>%A-)+WRyqlZgn^j#^GI!{$#Fl@?fi~wNfGL(<)P8 zw&y%Q{^~K4EcharpoSUBmN}K^9pv}}9=WEA4X$vsIdDx}9d;TpICY0?a&$8uOX_vO z?XnKh&L3^!XuPV)PeNAiu3OFS)|hPl0)1Z1^2M6_Fe8&;TPTCXfLS8V=C?k%ChCv9 zc9cD|mo;Tb3-V&n`7SC)!_?5@>d^?(UXpTcFj-tgA)?J9wUWTzGtI<41#9u9-r?T( zml?anLqrNwbiU>nN^$rU`LPBXWdATGk~v$Qt_Ppk)|v|;)K#tSR|Tq@t{Ah&@#6kH z$*k5IL+Gu*_t!vj#F>Iq4DSyTFx_>~qb0_Wl`SX`85UxbhA>b96+b-~yxwx|k9Q?w zlLNL-vW%C*KrBowc@>>mP(^XLzwgh0lq^tJvZ?OJ ztZ)$|$hKtpDCIDt3WNKK$-}!uF~#a5Y%=!{`E!_Shy=GHJdn*Glz3dizpeGd!g#nQ zVuVY$zeA?&CzbN+yzn6*A?FjLkj!-6U!h1?1Y zcO%xtJiBwd!>N3_cTbj=Af!}hk5Qc8p+U@Md@~m}-iybuHo)yTzd}wj0mV30;#+WV z;$+_YKdxYB%+a_u_hZ2xk-eqfjlGw9Fbjt&-vh8&FVnEC>k+0_;$qTc6A*~B5i6xF zUr?o^-B^w#EGal{+rpFBXH`vNHuHjU!&B|#Tz6^wvaSGY| ze7&cSE`2pqYNc86C%fy1Qk6O;Td?th2fsNb3E{GJcu@!6X?K1?1jbka$e^L+f-C}s zs=L=~6wrgf2dD*Y#Vre;JkMe2=Cag~V<($5bRzrZALjd`T*bc~MWEXM$ll$NRY zcr=gbY4;KnS?FLLy-+jaK?n5rts9ZYSI^Sg;Hnh|x3?dnNeVEY?r}4%niO&D?Oa0! zz%d?H;(scaVyoC3@Bu%wEOvXALOz&jyhI+YIc-zE;&Om)(VqHYjBSn?_zLmqKu-3> z_yF-Gn9XqVI1UJSZf*(N1%wLCWL{5n-B$>iQ2NvY zBIeT6WJ!Wl`OM^Kv)9*~hS75M-5&oE_Li2Hp*gFeNF~g0_;aNRi*%;15}xsfUSAZ! zZPbNx;pDJQ0|SP`(1uDvAfV-*a`AMCOU#rqnlV1N*pzt&Y9WvYLx=n zKX_wHi8LyOgxeD_N0k~lDOrd^tJE3SsgkKqrX$pznKBaWw&K~D%3#KXh}n4bU`Vau zzm3k4G%$%;6Uq-C0pm?%fw4N=t>Vb<*xnRiQ?>)1NO5GiO*3obml9}Tni@lTW)=xq za%^nE^E1{LdYa=$8R{Ec)$f!_YUtXtTJWUC~6=e(SVUE^eVwg*Fxv2qnl1ZOuqV>_A*SyLFpC}`@w2d{ba7QZm@Q+nL z7qMS@1SsWUR?i4m$sU^?fl}nvQzmgzbRnum zj~s5+#4X4*`y;Wah{NH^Te3p8U#bYTrj#%bd?h1Mg(Y9*T!P&Nl<%F7u$=Q`qayXP$C4`L4$v`2}`ai5-Jw%l|Gu zZKJ6euc~+s3LL%Z>ob8)*JT*vkIR|C0ayb)2umsaCr z2IU%C>c}`UYK;n_6nQsz=t?`HyXSU5b!cjk2O_Zw)iESt{%M!e95 z)}}))*B5_;sbn6zM2(;%&6zl>YnfU}z3?}(lyZ9&l_cI|t|9zoq;hU3sEkNpa|vV{v5xf8v~bI=**lD+kU0dy=N;?7L* zb1hQACloMI=^QK@a9*1!w+nu5M=V{~nlE9@+i+z-luBb(F9#NnJLoFKT5`}TA@;N_ zi8JJI+EGf%){>dvThT{xB~eSj=V{$CU9j#q&iEVw`YY29p05VElJ+RUp+i7KgWkz< z&~4~8>;#`e_VRalmw1b3_|e%&W$mAvYZ)?3IvQeuods>H zMRHfFu_i0!x5h1<>g4c#R%FGN?^aIrbdc-%@ z?F+mM_3J@T*SCA3b$`A>EtDSyw^v;p8J2N2%2=>^M$+{~#S1xG48R zD;^w9OihdMn;!qJwaAPY8Y)S0Tf6c~Y!(zH3YFz-d_t(1zK`o3Yul8inMF1n zRaI4{x_E4N>|$$W`T2V(b3+8eulBzj@%8;I00OO@yOcpK5j7IIPCN0Cy48@Wr_|R7 z4NQPS=(Q3<7S`%|u>MyEP!mn2!8#3sXB!~#(WoSPy9!5Id-p?{31K}-EJgJeR-quy zmp4oqyM+axiT0*mz;7)Y8-C9bW3Vo7jb?{T+LTzL)oVziM-P#8admd6oqEX+k>oo5|__EpUqSGPDQR_ zX=1fJ#k!S+$GFY5IlRmey95oT1dUB8tb87jL89d@_|Yc(^fUzCe3Oq71L&d>amM-}GThOc`wn4bXH1w^{M4lNiQVodVzU>i$m)FmwC7o>lzMqOhM< zYEE<<#l2gy#<8f0KkXk)G6&N)hlY+5Rt}+MghcOqwaC+@^u+lgR(8YgyQAyeY)8}EpHmI7T!-9&T`Tsqh9L# zS!5$PBgrrp4N+>M#s(hxsm_;;MaS4W;DT<@BjAW#;(UaLZpEV@Zw7+b%q{o^J=GvZ zs93PoPQddgZ5&H08BRhYSIHt1HZD!mk_>Vb%eu1|b-GE}_Wo6;c)a<~?HK|4W|icU ztUW2Di1CH<`coP2J^8wxfE-HgyI1f$~;Vfx|ZoIsoz6jg)`c}u3{H`Eg)-59`vpkc^f8EUQ{eRg=bqNM3{I6$tr@4W& z;Fr&NdlegIg|pJ>6c?0t4erJ!&ek~Nuv8g!kYQiUj98S_^jU^j?GZ;(>(8Trhvy`E zm;f}RT$nA69($VaSL1Y~CU<)F0v`igMM8xETL9?or*btL`h`JG{|Sq%uxCOA1yZ%J z<(ARAltJVCZ;6auyppKGJRBpL?qY&FtpVNH`P&VXbt7bqp%kBC>6KA@mloFhX zcl}4;@u~Im!lUPL-5a?m`tlIW-%vqtUF~BBoog5jW^933%%5l1X=>L?fvr(7u!>3z z96c7j8q0yVPP)6hKA}`bs3A5w$bf#QH^?4(#2dUeRQ{u%6@nslmmjPF_#)*16G@fk zy3K z0BeGc8LC7NEl(h82UW0O!wCZ%Ly*9m1RDEvaBgIqO<_nGk~d;xVw>xH2^(T9`@L}B zvQJ`eY5EVhwA=)rgq9Zg*EZfY)C8B>C&uPR7WlUJcL-I6S2>oG4Sj`=(;vZ_{f2w| zR^3`RlJ#u&m77fe^yXppHhv$T0($e~f|EzML!lKei-<(gE-mk)tYp-%7cPek&SmIg zRGTFI^El9+I6mezDxs9&^jx@sl`XG+=3VFc1MjlBv8zi|HtjtMFV?C(N%*5zB>qG zhPM08N9;< z-u|D9AI+X#q6MogB`Rk&FM79K`KK>OBmF!*oYPN}d28Dj>sZL)w7?AGJ%{r4!ATrq_=}HsI_J{Fqiq2l$&}sejlfDo7yW)Bhl@Lp zSg(8`ORFA5*7qI5;7e^)H7aB%>D&R5(mqb{m}+C2MTv>vcwyb$13HMTEUMxtQYKGK zMNruSkQ%Y|SBBdm7Uwr|1sd=AFm!~+bdtjFG7;=HEd#t@4{-#CY^G|hX5`N5Q3n8> z%Dr2>eTSV-$JB#{R=Gk^aSBtK6hQjD)*~|)my_@#y~U^ibm2~)uFNW+UPRwQA0;e~ z%sNdlVS!?Rx95$pnhSWt!=VkWwMl@FkEv40_JkCfWQH3nM31tJHejhf6*5d$9>sGebovqB!@I z&Mt;mh2xyJm&`4r-*-DFTV?uIf*ej7OkBteewQ!!%iocke8>zuaK14Qc02-i9n}r}I|$K{ zkr-g`xzf(uX@EAEVd_~5sA-PeQF31|($5`gur<#d;?!M^3$YO|FSh1{KK!EzZj+Ev zHvHV;Vm;ESy<=xY9^3p!cR*QQZ9X0^eYv2Jn#T~{ozM5co@MVhcS70LQ;^E&3+>zFE=Ia#NZunqc`juC&Efu(8aGw(CsZ>*tj&O_6>rf$|BELM= z=VX$g%-MGc)T(2{kogN5AN|YM8Ip@SJcJIAOyWj2^?S46rbfn0OIulcqu#n$7nVEA z*N|7G4{eFrO_^QpS!OyTxQJ6s44m)$I;V!T@f-{e_C7 zpR@PYV8r2fKr2yJW8{)+Okgr7&_d!3WZu0w#S(bz>F=YHtKiJSLG;Fvq=IrD3#YeWRyYHr9=BA;)n?>vAxtiOIn>mn`Lv^^Nn(hF;Agt>~{<)ni zGzn2bfzM-Sm}vtXJlz|>TLT_ElqZ@a7Lcv~NG=-aBQaSC*XF7*IGsP8$=ArC557l9 zcikUn4q2BgvZ*i=I?_&_4>k3Z_!qeJDz?9_!hkNI`3N?xElLK}AV3F$rGC{dQuu_+ zS}{q%M(-=@$6h2IR69T8Sgn)CL854*c`kd(bu(l|pFc(fclLIXtUAF=#096?EjE*(XQ#^8!lKyw7hAA^ybAAS7hE;QT% zBV{O#g zxkaqq(#WVZ`LX+J@i8y@Ov}NnyIeOZ$xlC2S1tR;_iCr6$U=45W6*gTX+55!+3R&X zy=-HO(dWu2NlkqR7$3JsnBd1350LIJw~h8U*-Ph+N><(ve2gxUxCj~|_rSmHbbD~O z;wCnPT@KE_lP;`0{XCHRBeqH#elr+yu@drR!UN9AcuW_kr8VQ6HntowoxKE$(7-%k z*ln{ADk%+3CKH84r0SL`wmR6XpQ$Ye`W96fhW@=$^ZBX>!en`XQ!&L|)V;n+$5j)? zl0H4lTKAVDa(kdiscxqzI>7v&j%#x;nZ4Sc(9N0z7Kdm|&HmnV#2l-{1Vx&IX(qq7 zqX`g#C`&kYq{N?ZXZkCsY9s#I-%dsM?gDYSwPt|Gsin=+0l?&O^l%Xm_55R$Rk`T+ zWY&A;^*ZEXi`^rf_A!0ws>{W~-mS9zQnuaUtY;&20t_B~pTs~%p1lE&GfwOStft*U zq8T(yhtDG$q$6mrV)Alctf=mG%DV2IX3RfzQR-vEpG|xY6j0dsxWpRUTTS0Ud5*@q z5O_uoJ3bVd{OvLl8kOo#VsJ{lvNZKfNHdSiw((q&swv~Q=d+t%s3Utk>10tL%Di{ ziqLcomUB@NkA=D`pkP>rjD@%z@T;DAdD$KdKsRbe_S#I+iWVa?qQp&1Y}GZp-g8i* z!Lt_h6I)pTz>k5Y z!>4Dsesc-@L5p+lIrO%cE@ZU2xahL^Fa7G3iv+SDd z7Hii)AI|%Zjl>%#UG166#KDlNa0E2xt!QXTLl46Mm{65~g-h*B?H-dQOF0|I(*_1Q z+h`wK)BuyKRc$;m8bu}U@%flnh27jH-V>00K$cp$0y;MK@TPjD4W}L*YEwVi-_O?W zx(RkD3h2^uR2;e0cpjy2mJ54hYmc2Hp6SnLDiZLt(K?!CJS{Cv9C*y=mi_h}qT6=} z)Lnw%%qzo5MDUer{M{mtT$Vs-gC+_$-r&RGFojXGTDTcM*Yrh#WsKe7@D;y<)W+4(2n9?DFlgkeH=Lv}MK3HAEuq(u_&n}Y zt~T6|pinfXNDmjQJ-fPDXHlhH`2O60Zr06egq4Oh!k ztz0`bdlpQsf%l9I$Yx$sWNB6c>wNCTa ziiI|W`$-bOnmOx(zqT8H+R7B=1MU^l`|~C7X;LO(vxuOIfgz^ByoBhZN!0fkz(4y- zFrROEGetzf^cD48Yho2T^zQEKl1qy=e}Sy4<-=)vrvQaNE6H0xDOuY)wy2&^>y*l>NdaMh#g^LX zw^#9cH^i9yQN<44Ppx*b<=BO3b*!pq&11WH8MBAYkXXu!>Ef=e^w-kjf)tV3=L1I2 zr_;$MqffRl+>pkZC5=;XG;;hsA*54Tq>sY*-cNE6S^#kT*(V6dEhJ(9I}NrY1iY{- zCmE!K6@nzP_pE`vhc9b}W7fKvhF-EoY!cnD)1`9Nu=hU7MIW%UYw1)EyWya+Z-mY4 z(a{#d-QMA>73$34*?a~TmZe_#VIGeWWd)rB<;k_A6Bz31w4cu+MuQ|Pym2#YcQ`Na zskN!GA6b?K@jDs&_sjrwsfr@sb%%h6omYB3$q6)@W?lQLPA29wHslRVQ5r!C21 zwEqU75Z=R25@HN*n{kDz(b}j%BHGJ*-}C1blHg&tJfsCr!=#J06DlcIi7|%xI&zCn zlaGAFyEh7SztX3}-gUrywc}U)F*55gU$tCB(Ii;3P*tFzjBXwSpa>u@*C1xJIBn;G zj`8>ph(;tM#$na78kKUfnL93)YI2Ze>NiefC@2^Z(``*1OS!M-lkdfUJYlD^Eb#>v z$TjQwSpHWNeB{g=4~A`G9l+=O|4=IH4HVPisTYNeOR$UVk@XL`?I{&Oyg{je;aFKwjz+xUM9AmIS!yt*4 zi$5nJ7!$Aop(~36?uKTYQPxa?OT(CQnd&by5*4uZ%rlEM=H;-`_40H@y+#qe z&IeIlejbZ`?MG0&RqyByR_+W|OOW%|x8cj zy+Hu%4lfS2Jg>tKAmXuP|GR&kr?8s2rAmDM6H&D(*)=xv9zw{c8O}YMZW}eotg7Zy*8`u0#<&y=#*PNh|JxZd!ni)HX|dW@9_e2l&}Rwj=gY< z>qdNsmk$fe3ZY0?Pmf!kMii|a_q#kK0}vmQdD=4c9D3@HE_HdNkj3sRshZ7Gu5^uj z(<()Y8X(3mg%SNogAui(CFn5TnhOTNpwmG&rU5e>i4{&AiD7;uou}f6?OS2qS!veH zkKa+assJB?yWc>rRCfKAkR09oznAJ58Pl2l=*}j1)!|Ne4tn_?((viQWucwpvQGvx zGqX2Rv>o`>`X7SreSiNlL{Z92a{6@FZu;M41v@&4ZYtDgPpDgj2_ghsg}`k1I%TTq z?7lxb71(KmVbR{yG2>;oSNvtSP$W@thSqU@m%`RK*U;|M_D$-`pT7X!I0APl$2H<4 zka#(}cR(8e{!O#Ep)H^&`VhhIk~soj$v2+P&K^yE!zdN7j_ z;q5Hh`;X;)?Wm=TIs|EKY}5@`#APzZz?Kk94Qbs*J0% zs#hn0PlNE2euWgw*=`y3F%AJn>lXyHbU3bQKMa-8ZO+@dhDLlG$b6Re?S%f|!3KqNZl-l6-7Wgc({B-!qf?8;8KEv?_H)VG$9ns(Ely5q;Sl_LwS0;mp5AT*Sm*ENEsKc;50%GRop1=TB>X1=D@)!R*`PMzuyyPPR{ZJc zg@AnP;XL8>5tuFDv>OgvTx7U8T!JH7)b5_cBobb5NN*darRRL|_rhYVu3ONh^^1RN zKH|fr@9TpAXsyjNgq~4Ele-s3Pr>$4px6joLx~PqLjUpkg)dMik<1j*zxMRDEYK%f zxlFW~A6#IMFiZR^@R(MISl!nK2oz75On6V+njLU7HH~;>GAscpRc@gpPoYDcfFBQ- zxpWzPLYQUc_{~LYT?81&of&CLK*14K>eMKuxyE*n)e%&6t|={QJHyM$KYs^WL^OsZj*L{o%ki+4sfX5Y6CN9 zE4-dCs{vuDsoo#!y}na+=>{7Cl|6h};u9%?c!EBD$($Z_=kOpw1$044RfVGWdL)^% z5j1bwvD-PX-n`430IWh8h;^YBy-}f9l(;WpOq0JCcBsxX&CXC5XxyT|$}%aw8gugz z5$+_bP?CdXn@DdDPI>>_AfHBrpR;;%hgq2^hNyec(5$q@h+KOvua9RsjqpWc9$b{m zc*tXDTAdyr7SQ8PF{Nn5>FJ~55=i4oQN|lqI;5&)3Y_6U_%;!Ww!eX1<|ty!@Pp8U zZNaA%q5XtVfw9r4n821CDnNi}nx16hUYQ7rGjV#bp2QN#%^Pk7yArVGyEDrdh&+Q! z*H5jn{jbNgGUjS^ZB4`D+4>ltm!UnXowsvuY@uRNISe33 zv=}2T$3$M^J0`$WW(?t zFwrL>Q&d1c^kp+Jv``fP;TPq;Yglx;v{3c>1wF_5@71a4O*-X25Bnt3aw#_iz@YHDV|+G)B8UQqu;o5to7}AWTfz=C2Zsf6BLEwrU(CH4?Y;kCNmLGSIwOXYiQ>f?J%H|lY^1xr~4p*X3%=U^=@ zDrrC1v$SFA_~DN&Wx|_xOBZ+p@%j3Bo#VgRsF!C~pAuZ?e7ci1f1pRKWX4NQ$cpA3K25xP(z~tZ?hTMGqKfj2=>;jP^4*a&YUaxd44qUH8>S`@A24zz{(hf@~e~sxO z7u&xTk8^h?v@(8I{br&RQD+8A)RFr^j5?l;;j8cuk4SH=re9_Lj=+I8xz<9VLt}`% z%t@>`MC*P#fD_^MT_XyFzJn8MA|f>9tx7)R(-!H9HaQdObB59bi)5h& zie*Y1|2t1C$`bb5;l@AunsCQ%R}N;tCtMj_`t7!v*5!mmR-#F7aE?{kA)6_LRnhy+ zTD0K%Ktt5siygd)sScPorby$bG#$8+e2u z;|?NauPm|wQM*jA>Pe}0W@u%eEK_%|HB6kME&ecYq)NVRb5um<&mzA5XZ3C1iWqt;uv$XohFu5iUGj8Esbp3~yhu6K5@R2j(JgQjHFtvn^#eFe4Eu@=%E^{1WzSLA@V z;wc!Gs|Od9>394zb^9@C`~~TjZF+z8cSU4{pYP!dfC z!ClsyW)NheT-WxyzN0X)=-1ymCKRbudiTVCn3UHM$@o&`=+XpKFOjlIh&{DiKS;%8 zHHIN5Pq;#~I%8{COjjASYdB}`i79Hx!^A67Zw~_la$NT(f|ksA?9CrM^=|J!pB2wM zWG}tyM9?%eNuJLFloH7(VK$GkTa+Hp-E(uAf2XJ`=kX60jXp+D=8Q*r_q?tnA%nUf zCrzFqxY>oHGtvgEcrLckdc^|s%`(6{!9lqzssE=1D5AaW4NRI5w!6NXqt0njh?7o2 z9=nw)j=`^7N%>lot7NeB{PC!AlOEVEil25=wJxeni(VLBm~B$sDT#@+#aXIDE=N43 zmynKNE}pd3-=g7e7Be1cbK(Yo^F2-cO7D5>*$uovo=Cyx)h3=KyI_Zw#qOXV!! zph$%Yf}HhHA|i^I*SVl1;t_%&5y6I4N&ey`b=77U^A>1DD#^GC-XrN4aCF6h6sJRw zu7^eAkVgnrjZq%l1lWhM=Bsq0s^urr1)m;SO$>H{StfiGkqPb16)mY^!)(qxgZCfz zlfCtqNCbW?5mZ*A+DQa?LmNFRp+KCbKhv&nG-e&}@a}vJs>rh8JGmRR0hTAwzJ7IM zVj5~%l{#r=OUq&=djknk6RvNJL)k?r;C+1?Hkz8Vg_BhMWuh^5%P`+0R{Ke?S6gU{ zTA^ml`jo*W5>x?i&Z~flR#y$XP|tA$m;k4C_`Qs85Q@vk_LKLsDpQ1pVZ(&}*qh3n zyKVG{dK-?0l=#~CmvbCKY8nFUE1SFH8pw~_#ZH{3i&Vx4#}!Y(aLrZoHr-=R`9@)m zv-s^gN-9L~(h-CXo|SE#ER;-pwD~@MA+ASdpwZ1`<J5H!>owte)ZkHW~tq1`^Pq^Ga})+A~z^r*)cu_1sZF; zeiuuD4oM=fjh#n8DG$m6w2x7RpD^h@-7CNuldD$&oJ1{VK$0pgwemKl3O&Ax6RLeoAT8LaA8_@G$F^vN()DkdYDa!&r$;n_m2UnO8^k!4(zeIwSw-X1SiUKTog&-$r{y zmxz^fke`h{!6BL&sahiIZoPuhWLq|IU&1$^KYpLR#-{_IO&}OFR?cGt@??G*Mymvp zCYcpg@QM9Srp+f}6sN9YLW(ksEBxF3?w#KMWq?&ub&^+^U^JIJ3i+)-B`v7X-1-Gy z?M@XtU9gtCk(f8K^d8Is$${X0Nk+i*ygzVyU8Y%kQM;tfp7PW?%Twhs?bb8+0sKPM4Q(wcPX7iD2Yan}4MekUL=>0-^F8HLY73KQ+QEgnC>KM65)V zU?IGxZvCRucVPADhgQow{MS6FUv%_wNmO;LI8L1tJ_J1lUDIurD>XZtdg1%uP{Bvh z`Y|^o18wJZMs;-@Wc8$>q}NB&`KFkP*q6KT!3@Jk)P)uNmgZk6>0@pvn&ahKaMbnY zyfHlf>)$wFrGunueZ$=j1ue;hq%}v_szZIwA=fVip+rOxNw7(7UVNUHFl{P!UTIr! zFaY2s;IZc5F$B?$H-D}b*8kA-)j?7I(caRCG)Q-Mw}f;^OPA8!-O|03bT178(%mHu z0+LJj(%rnz@80*$@W;+DI}7`Ke5FcMr=rU$oT{i99-JAy|3Gj3jijsZ<{l0C`As30kab)yRqqWo}^ zJ5NutiJ`@iqJk-VTWy;(zzK0^Va;kH?z%c5dgJI2WOA%3^4njTMG63UuH;cAB*fp= znBQ3O6)J(s=6$}6x_aV*?ztW)<*~`wo2GxkMkl>%R~Zm13%}n<_O-k23EW??y!BT} zDtdnSwpt{7OUg8#R!PZszqvfDlw?Lk$--mO2A48Fe;dRzV425yW#!=sB0ywSpiK^9 zSDnK&tOxY(6pN9vG1O?{p8=vn!3eBaC0b*mS+O2-ek>Vap19k=+Q0};4jktt;Zv}2SuXk z;O5_S1IpkQ)$U)$zkAex4(e(zLsV_8gc9|u3jydIro3F$G1&ID`e{r0s-MqH$;=5B za(Vu8kQPl2x^QtO0SE)Cs^~MmkJ3GLN&#oz^7cOrL#5CBpRX;#`2%C{u|AXp8PMR zi$C0-|JsN zuX4GUCD{Ftwf``pvX{riPmO6a}%ML93}_i<;$LxcGy7Bj!2^kOfa6mB&fX=HMk-NJ; z7&6TWShzWzgTc+8TaPgZlNl;P4XCimu_p2>&~MrlnxD9NCJNUMu%$nSavaN=lTY6gS3J}PeNr01_O#D!l$a9)~od;sJBGCS5Uh}D(wB(2NTkmJNW=uhSd_n$Q%Nl3n4jZ_UOoNl28jecCfUW5pTTn`K_-=>b z6{xtWc$BD$DNwbr)WOgspQ`9;w6X>I1oiWcUKY@{T1{oq2!fEU=XorZZa~gOc-%gu zkW)0=oVDgI*WG#btJRCB#Nxn+2x_53X=gYlSx8X4v9hUN;katEXN-ziil3kT=Tz}x zSSr^1GU!VP!}#P-QQwM1kmqK{;NQQ(5C?>@V>KoaCm$aLh=k{a=bbffA|Xuo%Sz#o zHJ))1HeEO696uMFY?M5p%5-Ai?Z2fMk5>-V{nFq+kYs9)?FcQ~@CWZa0Z}E(6HadKS>O)}NTv?v7~r63Y?EyGZgOC* z!Aq^Quj8N$W`x21^PUkGmx2=6ug-1`FTb2I7e6_5`J={wC2(>%RlS9s1Q+5b^R1leAC$)@yPnflS^7Ejk zNaU2f(kll^Jo;o5lLHH@HJy)u16UHVJW{x=i?>AHMkNMK}uGUQ40v(t1YzB&Y)ZvSa%v&cz-&w~_)!&5Z)bD~n zTbh6)gJoP>rE{k^_$)Ts3SoSA6|mO7fmh%#i=t>yd8B-ZC`E)$;Aai`m_br1lU4`g zUWG$8wuF>CsGVcGWArV4gs-=b`vKb{lQm{ z1&8+Q6N;Fbu1s!tb~Z`BH;nHyLHDwNs5Ho#K_@i~EbJ=*9UGd&UZ7w|+Gj+9{QXpa z2vCrYntH0&J! z0U=9W1}41ZrLg(0B$vHk64|j1J2APvJqzjC1oZT!>hd!S?3xvgoYB$|dzT3U zY{mrUbshcrpNiDjFOLRK2zRSsN17x<392M(d~@_V6^fI@>dgWyhdLKJm0P*46rH;- zx`eSZ;%hX`+f-xgO%`Cl7bsY8*_-y?Of8N!miW6pLd8j2KV5xx0; zp8G6OpM|1@!b^zdI05sFkIH#nJsbxePN0KoS^y#W_r``Xi%BzrYAo=jfJ2<%X4;*2 z%D)dQ<&voS6Oh-WsK`^Mk=p9g3Q7nbiE<`tRMT>I2>4Mk{#_ps_gOJ4JdDhG8M&^k z-*u1_R30^bW>X#&&d%BHdvKk)HW59dO~i#A6TWp6Wyxf=e@>rx_vr0R06MtyZ|iqk zIa{luaWMB#fcs}{-Ss!hAe4B{!ee{!o*K0hfoTl4b!Ibi^c zR@T(S=F-+*FfcY`TL3WDEHEZq{sIkM_qKg_>JAK8SUAzz()%sEb-a}Nx!rg_&aNCc zsooRMayvgamo33k6k?PGZVop8(gtx}uF@2)0fDs`@WxOhVB*P_2uc8>7`GFcYGyTo z5vTNbmeV%?-HLjUOSdF3Ik7|%u%OwOE}BmGOQqD8h|xk&*Mhs%Cau9+u+bT8jVAv! zg+gbieO;vWtlPUXY%Kh@k$sp{qHHEh0d$=PL=LtUlt3;2Ip*fes;Yrv1T#zGbQ;`# z;)E|@7qBOzv;L+!P%fmVc+P_sBKZEfo_4{{8cp$ z{n+wu{HY71XiDOG{HKY7{ey0*@uzR!j?jZ6yPsop@jf9o+H^7h2Z~O`Ct|foH5ZfZAIZdwisv(_=%wd} zg3MJ>w*-cGcqphr@SbOA$o*8_)s)3ixRg;$1nB--UU<^HMgp=76$(knTV|2=#bueD zY{Ik*Os1xYI5>DIqc|YUzU_ZN2>3l^S`yHM%#-=&$%9QkG1YXqBm!9YC5xp=-NW3~ zBe1e7fR%lEyo4R|0kGRY=C;%#xk+M}q6xp4-%S37$ikx?sZI*<;yV+G4_`#s9LfxAeZ5YB$67vh;jhiISEcQ#U-P$k$~|du4bV+XUl!XL~#rni)5jO+lbk% zhI#+w8NZS&VC1iD z=PLpDK;suM({8)`~oO5fGRbWR`}Zf+HNxqIDv*3tN!)tv*-OY-oH+f!PIN_tn- ziTjrWKC~}v)Kx8de|^&L_D+QYe#IUI5IxC-%Ku8!dB{%FBT)9(4GxPf<5vi}hd!p<=2`Hl(dJ>ZJJFO!8-C=_`C}7jCwnHhyb}n~`+NvFW zCQifS`nw>}a=ckKt#ZBPUu(qltE}n$t9=% z^*R}QL1k3E}I%7|NRm@MuK;Ag@WCRcqCaHC9)*I?V?bJk;9GNS)%erj~1esQszX}P;}j* zb&?7j&;5)>wk@!2RT1xi>O>k;yWh-|+m$#a^lDA*i;gc= znZ4uV*I%}gHJ8Z#SXYdGI`aaw_PL99p1m{dQ5x=U&Q7r*#tzOIG~6@jI_}rPL?-lL zh7!n!k?E$1KTArIJ*Pq@{Gi2h$`ZO^LC)>-hm!;jp$KaWjY__*zz>uk4QixT)v#P( zc`=+w_WuyUnrG0YT4l=TenNIm6gW)U-Iki6S5!JuRE~vvavc!o4K?LsNPR4_PP}*@ zlby}c5@Ridid6Z$m5lPCUgUM6TQH);+A8yQobt!m#1AQUClenO%~^~AjNf0vq%bhC zwly(S@1MG}0*^=*AF>y0mw=pl^gaxET-Ds)gr7v*v)zGX`G00e(^hj#tG*qmF>z{~h;1SMOj!HO1fK`7;{KEc zhH`KhQkxC+N8nMVNF`3aw8QMPwHUPIbDa~ju-9Nq3#Pcd|4A24re3w=ch_$DUrR)v z_Zc^?zD)=laav;b#y+Dl2k9-`tJ_I*YqAP25IK(Z<=ABPCb`4*SqDW}y7#zE}l>8akiKG^NDC+yW^`}kl zD{V=JxZ9YZEK%rg+q~V zcO$Ew-z7PA=xq?=Gx>QG4nll~3Iw)Ry|cdHt6b#0K2pjX(2oILxU_+HckvI9b&+T<5tvk^b6K0{wHVf~cP5>~{f}!oUsxITJ-o z2+nPGDYX^icz@_11TYF#JG{LBWyoyd8NZIcKH}%E{MQpRJfY%p*fj+A6A_nB=MQh+r7yM>-APl(h4Wbu@?+3=GJ8 zdzvDfKI;mv{_@u>`)yzBIoQ#!u=b30Wa#ecR-cjlo9*UPm1GW-m_$66Iw?I0P@KBB z5x(*VinK!o&$;f!ix}IITrAo~cf3xRZ5MoEYxw^E5nf`AYZsTciTE~GWxnf_F?FPq z@nG>`!Ye84%)>Y!AdzRDGgd8Q(a6i^AfwLPbj4vG6_Hcj2sXOt5Oc*^tx~)7Aw#7m zjWSHOT!TV>ZX&l5u1MY76*ZETb&9NTB#Die|p5k zajUQqHIv+O1r8{G&osieU7@J6CDCwZC{Amn)P{?^W{4)-Cx)KeY-lXDs&F4CKS2S=1@MLrSZNOSMB6v3vZ zk#i7){!}O}TVNp*1GNS^2D$EkP(iqq7?@*5=k9hlUUyeaGQ-#Y0fD=C;c|S^eLVh; zWR*(#y0V@nJonUvOyfKr^|-JS->4OH;ZLzIM^cLe$qo9+SRcO^Wg61j+9**(T)}*vem9rPqsbSQA65i7%Ea89%P)hRE{*McQzK_}0SEs;mWc~LV z#u_%9aPwouVpG^YZ{8NL-V^o(^VS_Mtvo=3wBkwG0@$)F>>&v_@1zQLHv8$sURMO| zo>)$l6*DWwrzS35&hp?9I{I$U9x0|yu3V&Y_jQ^A%t|8*yHq|+c9A2;Ow6mD2gtRL z@6Tfr>o~a2Oe6wG0`I^;!!XjD7lyPvOkD8(_e{9SY)*l|>OU$0b=~2S;P-BwO6{GW zGqq-JLM1jo;_^z2!c(s3XaO=h4y}oDja-MIl`oP9%Yq~eMJtAI(NbzM#ePW-VOaz| zSoea-IA{vA_d{XMD4;M??T71G^w$j(LH8uw;Q5G#6~=z!uo3yJc28>2_KP12Y-zV> zJ9quc0bWm4LXMrf`-K>1m`Hp$vvliEYs^_S>yIBk3&*Bi8}b>S99aYRpZ4GPg?#(SfD#*@qH~H0{Id*p&Hs>t9jjElCUkWl z2(@eKph{;lC3MNb?Vf3b*V+uJ8w1zy39xh(nUv-rSehuA_C|@M++lYX#1QlFUf7!K zIPa&b4}N}C(ycCG3pJ55s!WA|7c0R2gR*Fg>Ge$0tIbnp?#-Muo(luU%-p!{DSC|q zA#0N1{Y0umJR%y6^0^37&iLu@(ny0nSDAiqPnJyxW5l!${9+$;bpeW=s057};b*L{ zgltB)DydX&V0zbPC|?zjYvSw%_sxi$tC4isN1m+6Ivl)cmLZXZn~`I0s>fRtd*D&I z+EV+Y1d56%m`i#E?e-vgdY7D86VTGZy6yZjv_|XlWWEN1rHv^Eksiyu#e^3qpoGQMCSy5P6T{^y7drypVw~A$gZc9!x2P#Mm7L#joPNW@qwdsX@dYF8b%%> z#;(Aas1d~61zF@U58H5!UkL+D9>yU4Zq1#wm)=~Gf-<&}Mwz7Rk)jxI=8quE<`ySo zz_nV%!9|J*{y)~5KXbwC`^aQ;bpjr90AvkT94fMoO^Dc!j0?5SwAg7yByjUJm70Jl z;l-|otPwOjcs>kyN2rM1-pZE#^x~J&g1L72CobR*mZU7O%JMW6w;Rep!^dY<2Xn#Z?}!qvW-faH!l*7 zGEYq)WUz_huqtrEM&`U0iuOqkd|;p46i|7E5R=rVg-^Rj2xQ1c6Y?n0Mzica#@FUp zm#EAoSS!xx??IYNn{)IF3zA{iBWM!MGUBW=rPRV!nzI&fX(Zqq^tS!(XC&PqUJe2G z=SL#1gO20pV$ZK1=L|=`8x5`gtdiS`3@&zhoEvcdFu`er{6CY)_aJ-IqfW!XTVb+s zU<+$hP&Ex$S}m4#}qjGdx^jOe|TOW?AWBja`oSTVGw>FH~O{Dj~m!5A0}r@WqubSkby4QNaTsXSKQS z+90{F2#nksn&Pucz%(9Vs%RtJ52}x|@(KaqLF?wD`&X8i0Etw5wG<)UQ!Hs$z{*`< zL{&go)}ZV7BIaAe;Rgi6DMClwnd?}iseuNW42J$c1n8QlYp0t}>s}V#m&(HIvJ8=u zDHh!fR>Qp4Pv8}3Js+-F>*)I1%W;AGz?Ds;fbuz9kb~%Zvu;H+EQF!9@ac@q>>dvN ztVt~K{F<~1l~{%DG}Jzhi-bkBsq6t@9(UJnpg&8`G{dNqZ= zlh0%#kcqYyVu+T&-D~mqoU1kMoY6@?GKe_^wMSgfrEj^n$yv$cKXk*jdx8OgPa11w zl0zLWkTEjf@im_wCa4cXVt@hL>{zYl%-`5^PW{0WC~|CaIcCc?+PaDM?>M`N1kg9) zoz3Qkh4J(y6>Zzk1B@{C@Pld<-Y*?tkHjj_T3QUPjCZl{D{*Dix9lXB5CI)R^ST13 zBHRjktFLFS1-FFe9#C}xZi?aN+7D}v8u#agw4&WF1k>I(;1K|;tvi1GEUxwuC5)(= zc=|;7>Y~wG*wInNWD18SDyZ7~9gT6`KbJHUd2HHBsREUx9XTK}1Xd!v%;s}yqw_J7 zckV`;kaea5)O)=LfF(%sq!vaQDqtV5E7akOBhAa@mZ+zge?}X!j1{RHnc9pRZ|whS zk^%QL`L`LS={M(@EwO#8E;uYS`lsxRHY^we?isbgVHDEQ>d{$}qks)$|Q|v(Tn+`rF+Iz_Mwj?!eMptvg(aag*;5uq#YT}HS8$&`LXa;7(5+g>bX``}<$+8MnUp)fJ|1$lMK;u@{>XZynI)`(RSU9h zO3&~?GUWFX=EumU0!6O`pEa*nTyZKz)8_2%G3DOzMZJpD{dt z*Oy#&#`-|q+~sezdga5> z%`gZ3sHJBM90i)9FW2(7#p;}ZO}8Ab=AWx)#N z>co*Wv69w57dJy$O?#4I>S)At3x(F>jkZc2A~b`$5zE!KPDNM7-X?z{G$e#D3NML| z`tyTU(U?SB9S^>T8F|z(9-d_r%VRXPx}LDgl=bfl%YI19X%`nz>Q* zQ<(amZ#+p1CKi6jz^uiHVAP%Cg_ zNK;cM9S|`qfJ?+(edx~>Nf_PQ0s3hVNunh}z~ijSv^zsujmu^q&CA+5L-OsTdD?1& zYKl+_l&pa$q%q6;DX*zSTMuJfj+sq#B>BMlq&~-Y*{=7QSLsR-Njdt>fsIN(+FF#I3qV?e7 z2mxbii~!wTm>rM-EVKrg^8EPA6V5Xvn>MK*a@L8c)%9R8nKFhC2*uh3^BuO^MG3@q zisWNWZJzJmAPBEVZ@yB^cV?I;R~ivyxZb(RLolYf(*BQ&vo8ef7{f5noVg#q;<%rR zIe_(5=>B#e8-e@3cZkX~{oTtsQ_QcvBP)>~-EStRkosYaTvAGR{(|>T%?v<)-gzrm zp42z}+Z;{#$(%+EOwhKKKBdo0JkW$&e@{p3zF5!RsV8Qp8EHPa+ap9(&Oan_DELeQ z>1E!#4~ZOhO(K6g;a&6EUf@&;ajj9byX~~Gi4n*(sal~!;nj#XtCrx2RBL$GnUI)8 zndyPj&m(?O_H+L~=5-PrP;oY)^3H{CW?A;H7cEO@<94mvX?1D8;L&QT zrT$^6jsCTTXfgqh-8ys`6X`AYZa|qPK}YUYbbpTVhn&=FLWXnT-Ro)R`lnV#c@o6U zg3%SF{#Dn2%6;01)0h=BEJR!vy2I-w7RQ+FbOQzdlF_qA3AcEAsq!5Rzqp@Ov-TL& zNZq_oTfWpCcWZ{CPrttKwU0lzChNmS_Iz=EFbA$Ct#gqap!gk2n{qx`UL9H-QE!ce z(h=v4o$#3$Z)(H$;{X1IzTxzAt0EA1di8wySnAa^5%}=-$hUR5JHmSsD^&O~f}#5S zqV!5iEt=yRu#C{sPoN>pk1{t`{YjVU1Cr>aLDj6wAT;u^_KWcMdZ-&4?~nNPtH_B& zyjfpX(_&jCh^K_3EzD~MInFjuJ11+j+EQVNi!Gh-WHI|WgYtN2U zl+hX6pgN3_Jtn+)W|jFf#b-6t&`3NGm!wDsk19m!I_7^n`RS$eXqi{M>L14UJCv@w%y$hhjcZe)1I~&pet(<98`VG0 zYt&_2gJK`|DnJoRdEL)r7#{ONf-GGNw6?Z&Q-&^7R)H7zz)xu>^2p)z38G5CG!CHu z9hOzj^eRnlmXf01iLrYsqUOAEO?O!23wsg-qd0T??1Lf^+U%))5|+ zBk_SkWAu5Ub5Q$e=@bo{BtNzYa7Bwl$jAswOpKCfYt`lh0xGpMA2AnaL0!wiMdi1{ zhEMF+@P#bwl{75ef=g##>sdnD?}UYN@T#=p8R~wIg7dhnsFV(S2s2BnBl=;gQyjHbl9XmxeArVaD_B#7)j3H@2QCt<-jqXL%IUkAQOs(8C5Il7$fRlyu~KjWXpnZu(lVGrJ64-dHY z@fIyklra?*KcneRJaPnXoz&4pJsIOFf~)DQ6eLE~M=VLW0Bwi8eFwWZ=4H$`78hvh z@RmvP1t&m*z3e!b$Q&6t4*D3zI+j0wYHt9&rAN!wfYF>+Rc#4$#MA7Qqp5Ri7u3?; zCnRlb7WOos3)s4f%9m|TpmUWoZux1yJL1_E!s3$?lC_%W*N0g9j$0Lne&ZTD(7cGGGVJ(s}8ABxHcmTclQ8o;@Xbm!V0$3 z@>_c;UqG{HzMR9~yck()ljllMJ*FX=o*&E;$+NY{0S=m`##5xkEyr*$b8ivv51KUG5GB=e;leHbnsuz zHzM{1$NjO;@9*n{Ck4VoXj) zUr&5{2n6#GjRB0vL&-oR^id1qL@5~R!TR!AX98kQmM2wxquvjVagrVcx#R^2=gsRc zu^82!w~biN*{Y6i)7KCT556<|8=tJ^nxFE>(>L!mG^r_j-HFpJI!ZCrDwR&HsaeK) z+<6_=I%G|GDWh2wxg)>>Me3qdis^Z_e~tV+E&2#HCidqC{o{VX9C3p93(G=G8BO;Bxo%qhld=7X%xdNwKZD?y<>H%9X zB9RzaF_AQvBPDJ!V+bU}r)iI~-DgB`=wkP;{c(3)S`jp-NPjbKqNT#M5^?i*kphZ!|kCw%4>j-BWiZ9Sd zg7GRVNu_Wpq;lj~rlEv116G-Ezc#!P)qYLe_yVkgjNHkuPVRsKV7ygh8-Wa|q3tFT z%%R&4`+d&1bOVQsFZk@n2S9Kkr~0YOgDWi%%JzK^W)5FuZ(mEdx(3W3%HEm2y&a#1 zwduV@6NYT3cOnSv>xrBddxyZSS)JPRmryyWGKH)t8x+Z}=>)DV9QMwe9bZN!lAP_- zJ;Y`m2!@7aS~I>qn8E&B)h2ls%xf$F?R8 zm81i%tYY--B~Q%6`{AZwG4j6+?dqBqDHWtu8M!?-vQPX8HuCV0MeLyzz^L5&W#(*1 zSN)=VI-4!1h1}Z5#wTt)8nNPrP>ob5m4%Si=;bY}nz*DA7iVQOD$&p0OfphZ$i(lF zo6BaP^E14p{dT5$go=e@J7%F!5V(Tr{re@mZZi>7bru%4bniJ+hw32keJn_bM~ink zCzK`wkye&qIiH6CPbt8os<)po#b`l%fhCwjT(ez6hEzkdnCpl`(Ad%MjYjm*Dnq7F z;vi#S=Dy$r?%0vqrjf10I$=te_;xc4|1a^aJiPVu+D@VQ+;j>7e_BAFV>Wu} z#~vi{9)r%1+Nv`@oq&P=ZXF~HHoMgY-_HFL{x2RnnD=WZ0Si{N(#S8jAVkZ7k zuepm1oj5vT$;JPxqq}*ta47%^i!=cOR+mC8>c3!y(u{Dm8sLkS)i#&`i&CBh=dtiU z_w!fyl$no1L$d370CtlgG>tZ1w!)5&q)aboUP+1Uz4p* z1Mx6pu<-WaF-|{NkXI!s_osCUOx6T;21l;FGXOKFxVnckYmcsWECICkgp^&Dt{R-- ze4CRvU%lCeAdG$VEy+lZ&q@-Pgvl-=gH5bW-S&(tJC5B?OL$pb4fmYo8r@(UkLob{ zEZi8rXfOpB@55E4KG_@1({HjC?HFAdg|Hx5vS8E=+6dXy=`Z0Djp|!#>2Ko0?syqlHBOH8s`77Cl^+M7TsWdPlh*5tMJ&xl9o0=eSxWZFw zmp4Y{&=3Ymv8aiK%yhZ>27ws!sgosq&*^)fPz9F}{aqVz$O1Q{u$28@U5!`Uqo*W^L-|Zv)O+o{d=4 z)YH(Q>QYRT6q_5Rz5Pyq`+*xMuasMm-9K8ukKro|Hw}nXgO)O-jxi1Yeu%%M#oIO4 z_fCR>Dy#PQIIuW&uuABJ&)~PTyH|=cs7FrI^%l*(XGqz8 zHSSrC9M$@uMa+8XfKLArc2uvsV-c*-t=wFR6DHb}Ay()AqZ25!Tcr4&n0`09dA>Yo z3<`Yo$NQRQ-nf#HQDdq%>{&KrMe-|c?Fzo4?H^seed^PS_GtSlyYKt5(_Kj~qji}% z+Ydds5{vK!{YVS8epkeT`Rf>OBlO+9&L!ua@MFqY_uL)lefVVyY3ChG@|TQlqVd)2 z`4!Yapz+9r%ac}?!6U1p{X_(^*bfG(W90%U=dM~Wv7^S!&22cwW+{rFTfID8veTVI z{GfCk1&aw048Mcf%neb#;}!JrPOY;^vDq~WK87LGp;@v$XYKM4Z8ickDBhYO7LUa4 zX#{51Bg=@iQkBhqUI>Oyj|aV?9rK>7B$Y#LQuNN$khU}eSlyE1YPge18ZA#wWD}#u z_YcMclB<4lg)n^93v>{ZM1boz7R@OEt|*otBKkcHgj)`u>Q3rup8Id z>9({p6o)8bRiu9YclUMOfC=9zTjlUZX671sY_gt1Z20Z9oA-Sm56-r^!@AMCOGOp) zR)1fMZD{9ED`1>_vceiVJ$)0o@a+!$I`?E~Z)u{U;{3>VatOH#^0+11V&uCe?1gpB zu%m9qZOQ$i34|TkqCI&6Jeo|o@>TNClI1s$Yy3-@}y z?IB9&^r*;LUZ(FcZEqin*bnSTy{)yn4x5_O_VP6F>Z?-kjypXR^K(vg0aIgYzLf|q z(=dFamhtg%?11n2Wz7%E3v6JhP-e9nQ+#3mv<XY1zEO>YE^D%o09i`LhKvsa}o)gp?h^AP+)Hy{s{ z_z#Dc(kyZkYsEEGr$n~qkgI;05?MoGkhZT!q#H@HtzRu9{@{e_KOwx~EyPX(#+@7N2|{FxMZo)@25q zb0j#WnRYovb4wr&j?dM`M6vPl0Nda0c?IG-Ha_LaZzq++!|-#tONGEH3wG`ahaZNJ4m7x_iS2d>Dk-otaHi# z?j2#vmq~0F{zOzXO-(^D-Oc)l4+OXWC|)@VcdLy^_wmmHN004-}q8(qT||+o;l=Us->m0SP@{!}^GNKrpM%3#Zl`%ek639vETm_2h_I3{o zmZ==Y2%ZGzwEW2-IAT$-OC}P@|x7Cul}|4#*31YT9zYV6%#Yj z1{UPqaNsp;;9H?edY*Q;1NEAB>G=8^4X~dTL#w0=@{5h^kKJgg6t*fAm%;_!#eG^|4`Q~o)QM<+}I2=KdWh=eqB%BUOjPW z#0dEAdXc2efa@3Nrlh;v?+o8oeHG`ZSXDj==wWThdwqxGX0D$9;{sTAFP*l>#jQXu zxSZ0mrOn>46EbC%I0u-7w#TP(@FQGA5WY8EqI)}vXRG~tfZ7lanX~oe{s&A@zcjle zi0Ks1V*7ozA1i71cI^tR`BF=Be^5wNS!vkkltOd3B|!PM_00~0hYYEo1AT%G_b~Qsg(IJJmTp3FOq&9;o#%p3`ZoP@v&7U+b!SaeZEtNe_?4yqngT z<_X&V$(XWY#&vgpuhr8Q=LMa>a#&q;AiwnLWy&-@PRD>CldVMDP%Pi!Kb-F=ffp(A z;#=IDi54sH@|0KHgvi*xc|1&1A+#ChjHTfibs6l2K<)cJOD>3jX8suL;f$ii@jYK3^n4qxG6 zQh`^huAaKzmT%{OKTxd7>$~}4L~WC0(*4=3BzRm^^^d%PL!Qdo+!uQyq~c;sp)v|Q zai!mp)OZhE)NP_I-7Inj?;wGRFl_50PFm&yH5aO0u6=5BZhA4r5lQsN~boj-qhEpM`RmoJ9*zBAvF1FRuo$=7{) zDr*GwmBGzvQI5H;b}PY(dpM$<)bB_ac=<>FeDk}=iBozQn#f?K*5#{*P#%7we!snK zO(tUVoru?{EgROx%P4E%8^#YJ{s2}F!kpRRCSM@bDFhR-jjZ}*(mH_xHr`;lZ-V^v z`n4zuj7*w0QhSt4{v7MPSnHBmVr+#H!e>J=AajhzVaK*TQPj@kL%Mu2#&E;}amZc% z%OZ{$;z9`dLp=c7wzg6{1z>+lUjY_h>rtk^)kfR<{IBJ?>t@sz-Z#7vmETU%vK<#A zQp3SDms>F@N}Y!&C;v$6mT*tBFqFnFvh>m1ly<{nYU~yxKIO65#k#LdI#6%?!$6dg zQD z%*2KuNe`b$9#lx+-gU3lWZH7C)Gx*%68l~oiAvRI_uS#Dc>&K27<@Ra8d%uvDN&3o9{$RqVtt;{wVYFU$3y;-EV~q);v{F))tZ5==nJClwyy=M2&iH zxGPPPKj>{X>ML#DTAwI^w*|p<>LOJsm16mqnk>&BKQ^m^J@9*!9=jn&#^s@}ED8XOB)H z@hB1XSnUX?Sz}(lkWiJgw}f(6lx@?(@ktRHWjxhJ)Nsz)lJ4>uD+b$_5=OVqVW3=} zvjucbj<;|g+SjEnj_HjeJ3jW#03Z;a$+b*8>}?MC|Ikqi8{ z2VoEK9`~5xOOiJtsHQ;7^Y=`wxbVLC*NaWpZOO7xNxc0S2DRYol8j%AxF23nS}V1O zAI7?$-%a@fl3Qm8`{kOiC(>vUIp89QB_98)id#@Ob)GAUJN`LT0faWo<8AB{i&P(D z_4vJ5F~n(ct>pwg$XE-rAS@^h6Q+P1Gh76fI;`R_Tg>uzoymn0UC&*Xj#kW&^FRMdBfLy`Jzkk6WD|3pc;q2AKMrqD0M;oBdZE9<(;Nh#W< zF#>o1J9=kFpow?v8r%jE^Y1x*f+4Xd4xGM18vEN zGMo6;C0gA1-a7bjV^m0ls;Z8)PQ$W&-|ug?qGAiwxWn6$QW6ORluhMVzTc_=*guYU zMQ?p3OH`0ox%IhaVppJ48ktfqG$N~(QIi>oD1tFD8v!U){$F=*;S}Zf#toCQgp?qt zNViC{gmiZ=h|&$xuyja=goJb|A>AOc(%^!Gthj`9cPzQobNhYY-{0`eJTnZtJ9FmT z*NOXz&sCxZ=w5Hg#>P9ZUURv#+q$@h4)?8vZzchzsY0P_;XE)CMV)tCe{eKem);qU zAK%|>YQY69y9pX zQ-_Un&V_Pl_aigDMWzhMrrKD;NvBXKf!Nh7OY---cDifl$&RzBo&zgC;!1JY6S63K zRrxVKxa~+;ipeX2P^3jw?kiNqWm%8Rr)|$RuKLXAAgs$iM>i)D>K428uA@k-yd}L( zdL>q-AGQQu?F#7`85jx1!CAU(>dX|hqdyV58hX3GW97S)jCGu_x}s~MU!5`&TQM~l zee=;8ATd1d!$`wn(3MY?ZS4r#tcf@mx=Nn$MM#v=2>L%@E3h2{Wn$YlQo0;wkX^}3!~23tMLUn)IT_vJVIA{8zng|CS1aW0(QZQlZ3{KI6HZa8)yZQ(N;ddEn?ofMR+P z>ZP)+7kn1fdh9s2rnP{?M~(#gHp2a%{4KcK78G^?+qceLpUN^vygUFqse@Imq7*7Hy2EH4D%VMV}^Wdrk%5o_o(~J z7+V1aZse-g-Ke}7wW~DUXP(3iMIE$cgat@&N*+RTCuL+IX7i0C*WW3FkGU~QUWzBfYo`DwspWHQdlM}?BgccL}&Ik9Ws5

    3qUbq)UHr4iF^G4X6KQ7LS9-L)dLv}qI)w|ruHS7-BY!4_;*4c zWUpq*G_?=##k>tXat)xP%L$L4RDSi!jN=!e?t!iO_b9ltx0;AKvcEi}KHJ(ed{h0I zQlYL%cAcQ=ojXima!^n@UMR{9?3bMGLt1<`{J{5Xu>!V@*;0S{SdB|D81hiwQ(zba z54V@q^LT5iqkd_31dBYJ*Q$Og!=( zx8VV)Ft|+n^PU%@tZ=X*Vqge-OYU{@8s(t}%JXC2JldsVSZ>}iWeMKL(Y9Lhk(XKr z_%zK+9MT?-+^_)mH+`h}JM98#$OJ4nPeM~8)}^eGP^ig-o&IZAzDH2He5K~C$1iP_oeU^f5mjmGPK@O8zJ4?>ya`!VHA+KStc|9PZ7>%%wZUM1QguHhz< zCYM>-VkqI7%g#YExz=(HEWx>eV`sM4$*k;6Vy1zXK;-=PVV$67Y=&H|G{iF4cPXdG z@eTXDlZTgg`8nf*FZf|9nqhm+ACHg8Y~sKmSDQKC5lMe9d9xabFi}8krSVgVjWZCA z#cg;VKL(y&sKN{J1tiN7t4Xw>;XQTRZ}L7kCOIV~(k?E~@11&D(_`Z9w!8(iRU;wu zB_`Px|AC$AYQq=Xssk*iI_o?HiDHJ?v)dds9va^8; z?FefO1pDHgt&8TQuKL249;e@rl82Vpc1&(t!Ey|Mk+}dxR6RjCTT0yz&F1Iu*sA!O zxJ59M!0)(RHf}W_c8f!v;dp<&Q15Ij5?d9EGU46DL~b0qlet!j4v-~dcrbNVU-c{?epy-}o?LrM_{S zT0Y@EN@>s&&{2YNrJfnD(50;MJX`}I~;UC(Ds zk#n{Wv#P4ZP2y%Efo_~>Y@M@(mWxX5{x1&_WtJVr>_S2ZM9vQ+lBeA5-k%-zaLwEE zzFl{KHUd#8S*Plq%j07)Mfv4XAtnEwSfd4{Odv=735%h4)+;?ig zx@8JsC5F>7M(}X%`uzNS>2XX>&TPDA{T@5^l*85W`Y+sNKm6xDN0tTU7q4r9GY|tu zY2Nm5-Ue)}+!=2$FnDJ_efYYg($y~ATV#0b#v?JY&rw6qiV|=3c_07sEG;C>$YD1c${oL23C~tkCd!zM2~s_F4H1e(LS5B zv2l)>d3?T=kbRb}m6NLt56@^aTeqb7?n3Gkv~&%&hc`prsvQy*KBRScI6ZWJC?upN zCKf+aFLR$Zq;**5?Zd_e1bVMPbH_kr%-e*P$0yVu3`$82>{Bv(Ut^&!k+9QG$V?LWV^n*6Wx)z;H0XDosV zcA&;(n@S48n<;lYW=eY&(pLS^ro7ZS`ur1~ za$=$1p<^x#8;Q*m^dMP}!9tJTa=m+(M9n+|s;NF_8QFXlfGFTK&mJ!HQohSslkq@; z0JA)pG@2StrQ7uV>J3NXPoy1O#<@DpPaX^uAaq$(pUf%#rCV5@ zg`>5wELTm0OP%20FN2}g44>3g)i~q9Tx)(g^#s>_z$yWI3n8(wIXyzwHBv^!JRJ6> zW}?%~YRzUnzl*y`@_FnE22k$vbq{O7214FXh)dr0e$Ow-0MR;Dd+bL*YSV5Y)$4b) zY=9FpmgHqyTV0{A2S@k1VbMX|)KrCRi1??kwD*!<*TsDN*t5IYYW?bPYXqDbQZ`h?&Z*r3`*&C6zW>z3D9Y}8u9ukB=zDs!)gb~jf$HVU4v(GGbERtD`S|Gt z3+zRq4wMc!8bJzh{q0YUYIX#LT!_7j{X2`ePGmKwzgMZPEx5|~+q>}P4<5Wf7Z+78 zFz-9l21oD9(&3!shLkrL>3MlSai3HbqhWOSCZ3<<^%+qHLAlK$TJwz8qEs_H%5(^X z|B$pJ*Tmt1Qza1Ft%wuYIePz7z-BiPCB#C1^P+d4*rZDE%sG)i0ef|9x5{xvBXxDW z9BVpPKCzBO=!`Cq!g}Oq(SrHh58ZoQ##-i-oE)sVx#n}5c%jW9d8fzeVPU-Ub2}f~ z$T>H!5#0BLY^qxbeP}l1fw0A24d+3p@ZxZahmO^&n>o|hZy$ifX(r)=IWTID_47tjL67t^FR|8 zePnL^(Z0MnaYEdLFdvd3(bf)!)BK&9+EJ^QW= z#*-YV^N{n{9rDD#{W-0{XTV3KI)?o{b*6a|52*vHwgDS#$?I8H=nIj8O*r9T7n8Z&uu$x?fl!TK(29kPiUguTPm`BaJgs~a~IQj(85jofy&BpPn z|Dv3O4kT1}Y6);OQqO+liHgwFT8vdcdA;Qbi407*ic>ptoSeqyL%j;QHT*!x zdh;ikx&BPj0v#YHLoS{~TM)W4@bj=26Eu-V178xjsMlwIHE2S!ZHVi>73nt}C8hj# z@5UT4z6?JNbH1eX{~l{)ouC-Nj_mCI-sI<~M%slq_V5Tb4qOw!)tr`N(Cvv1sZAP~ zdhGqfKx=miFn0BUI0}2Lj2>G!q59ULpN;a_wQCH^)Af=339eGaqZW|s z2wv?wY@YmjGyJr~6pKxJ|IGooL?~Yt4NIC8&b+q8SUlKdC*v#A1Du;bb%#$!1W3E* z<|CeY!1qf)7s|jJjE4=DP~i-Jy5s0^JU#&JuP)NEyXHT?207_l(++M=^c`NmPxh-> zQ}|Me@nDuB^gv?@KVGx1&wVpoF)0P=ur7SJ7zI4!Nz-LEcHa;#d3&eeSoq|zD#|>* z^BsfGbboCUTDpcC35D|RiO5l%|BuZ@O^K!)Ax~GUCUhH9OR*JboLUITc(dj^a8*@G zo&j05{_7|~;Mnx!z#O z`flQIbmYS0Dyl|N`luPy?))Fs(;;Y%qLPB8KyUHlmjW5)_~Z`e#N6$kL}>QBE`O7j z(Nf|0^PGvb7T0o%?9l1Nv}6%CEOVj9hqmKy)FfJ0{(UUtnt&^Iu5(``;9%^tF4=uD zbe7s5-gL1*|E57wxJ?|u?2Nx2lybAvW)kOjFbLQGtuC~pXJk~BlM4bB@S&7pYtRs! zG6(Rck|@!8E4$PRg7M|mWR+n^90~u=jAW5wP0O9~kqz!jw82#0+|ifavJJhPvkpfa zjYiP+#Z}^Y%6sTORk$CYQd4s|hIL+g(sA5@*Zt?YgGf%9m`FQwF!jBPxlN5ZTaH90 z>OtXvwi|C2fBg7?Dj`2HVXVGDjla)4r8P7Uo;bcln{1OL{kmnOhU+!r20ZWKC^`gu z-~hy;&4bpaCQG_;Yx~qqcPlx?pM%9D>0gX8A)| zimO7+v-WaU2(Sb|z}q}OeBu+byI+5<)7;zvt?$^CllUQN?=W+_1>FGCL?zEO7Djd% z_w^>DkqJ)pnu*YHajDMFOQ%pJ;XZ#RU!ws{rF8OuCZ{c~a!JH>G2XA$ZH z8Q48foF6`Xh&6KkN;C0?NPBCt+D9ZeZ?BCiH+J1cylzxMQ-J37WhBz4Lv}`ffDpNPdw!l!m7a^ITHg$036XF2n%1VrXwmiYIz%^MS z4Dj(@;eOKuV)~%PiQQp&=-kU~pPa(MVZrM}Ao?Y1sN1D`lHQ`?_w#6owd@<{k~B0% z61l!Q&)lCJK0C6@|M+n@r@D&444E!SJUFJQs6{U$l|5AYw!G}*h=w@eq{M)Q=v|Y{ z?GQYvN1>hb`w}ttE>}Kdja+xHcM&*$99rp7XX3Zex!~T-6T`NUxO2E*Sn6aQlg4lK zlD%!_5iF_PQ(lSCCf$HE#eZT{JL`ITMwIize+%^&X48Rl3 z?YcrKhx&|+#kX4CWug zD^#76lkww4UP?+yPs7hF#pj9w-KHl3twEgZ!;p1``udVVJ)*yj2f|gGw0!yC=SwWL z$&c(mN#AySl+o`t$w|=BhKARqlo}7Bule!bD#~(`){Qo0?RBgL##NND%W2}ZFYx`@ zHr#p50k_OMqaG{PT8(_WiYLFH&UHIMv{YXwUVdhyD5tVTJW)JYZo*_}B!s#C{O9?H zj{%J#F)BKz(P`}A;XFW|vivHQ;2TiYj?1m$O=PN^^FofAjAYfEuy@5c#Iv#$gHD*z zBUGp=)kX!AXLfSn4Q=d%C0<@{+B-y`;W8B4(yOpsw$4g9oQ%v;Ac4)*euOoYos6e{ zY#k|j%$>TiPs#_2Q}n2J%In-?(xwrgj)q2o=0-ns5tmv`@IRy#57# z*;zkEzC0+E%I5$0M^h>PKJ8SN4Z4A0HsEGsA*tv} z>fa(r9UO+CJNt^Sor-1*^pi9B&f->TPnzssF)APDa4_2`thG*5mk1`#D(I%K7ZTy% zz;T#zxqgEnw-up3n8m;o|D-F?D?Gu&F%bIgANd+WBig1duMZtlw>l-!px&9SLbW5- z4LrGlir1-g+hjxVQ4^I+6-n;jx#f7^Z^isxMGsH*PvFuN6zoRdRq>j8YI z$)dH_cy>&TPczx$H^y)m z2|s_XkLB|UPr>`f(Ad~m>evFbe?(5NbFth9%kP%hg!IkFecAy-T=M1p3zu)-v)u4S ze9b9%o;x7dF_0z|AA56sY88B?K5rY&Og>d%d(7Cpaj#2}{3l&VC%(9`?=VKEH7zr< z9Ngymz5Aq#r@SUr7T{wsCgWcWZ5>D(R?|wvcxO|wy-;b#96<#Z-Rd9a9~$*XExK&E z!4aP;<>Eqsh3;td@?BW$`1!5If}j2UA61lCrC{KyD)x`ckIXO-EgkTI2GAdIzq}k8 zLEgTdTlK=$c#=}*=R}rE-sMb1QcM4$Q~T=mu2Or7aaENY8821U81i;p(8VdyFol&& z?x$8(DsXVT8mk@89?=u}xt?UsEm17pf3V5Z-f0mwFiIKOky^s8rQ)9kYw)(=GXd#_ z+4>Z*s%ojYfnD|XVE>jsIvVYRR1qvJ>cs$Nl4DXz`-kRG4V#TxygKU8(~TT)6Ac;c zn}M#w2;(lg;TjjL_O@&#$GvI$eyK$B?zq>dx>{bA4G1hr9SD$#C<_qEs0c`hZFeqI zp1k}W>G$u~`g*X?pVV%)JXxJuRgsmAiHXI*tSAQ&Noe zLRFW)PW9lwe`?EJ$FigODdI{Z^$TMLGz`jYw%4y06^c*Jx}Vz=a%C->6+V(}=d(Ig zWsoSAi@p{%E+7Z+zS?P@bZ|FP5>CNb@q&iMj12@g5~K3W?EJ2RlobA(#78$Sy`*6) zR%~uQYz-GyR|#9rFX#1PVqoYCqb=T@@%8GZIIj>p-;o~?FUYT|dSX?slNqN(S?=~b ziOuA+^!<1|s41?h>g7^b+EyKDZ{ulNJtAO1HNXm-9n7LWVuR*JNb9U3e7Z%SK3YbI zU%L45p3D4hkQ#R!eZ3y9eU{?;Kcs#+d&icG974r8gQ=dReMN?{H(GMp{QUoE?aSk-{MvqR zLy8PV%1j{@MHwSf$(VVbmCQqEOXgiFky++Uq1c4TSf(fynX(BXQEcOn3>iDu((ien z=RMCkpYwUn=iPsC@4eT(_PW<_t!sUUGP@jrf&i^~lgTdt}6fq|L$+>9C72BPn^ zhFiz-`hHT$pV9uidp`M*@oFgJlxWbg;~!%`^?e?%w?0xTtglZ;C~VVmaxw}JS1Pk> z*H%x85v-6Ap6qLETWN`I@7>(e8hhH+b%sdfjQO~q?Jv*jy5SuM{Pd@KPA?Am2I^Q? zq)ac5d^}9oy`Q!p-woSuMZnT(#{g@N@G(VlDpatrqqlC$Gl-X>z@_*C-=nq+RkhuE zrc=?w*9{gQ(S}LM`55kA88R&{;xjZf^Svx@KB}jJdbcGB=AK}LYOGz(2N#kJh7kZAXUSR?8Aom~x z9j`KCrTeH&=?)~f^)cz+QP&MLfI6-NyENR@851wHJy>iq=SU7ryDC&OurzR(B#PF%72Ryqm>!%wRmjbx3-*)xm zbmNr+Tm7!ZtQ{k@-1vz{fm^F4wSH9~J8(n=sWd^w##uR-t^5ZCFHcRrT3A=p(}@|( zN-tHllr*xm)E;5^YyS9g9TSt@G5t&+zQM?y^)jw8J~>1d^MG;>o-E-Qoo8uHA=4Q) zHpQ0F(~mXfsPl7dB0W5&j~!uo`uK61=bVO}$P<2@#zD&B_3Cw9%}oItTU*kgmlt4# z{iWxdR5sBiKieT))BGf&?5Skt{mx>|ro~pbAda-c zu@qy10Y|x8p{~9*&K5&^!@114s@jD%&F02>AyD&|bIlD2A6kiI)#XXZw_~2)$^C+s zBp!Q|OQoT30Amc6#pCxDI1PF_<*UPQ*UXF(ha2+hnfY_V8f4)Z4x!$5}=o7MEZP^TLlkCf_9zZEt7z*x$_1&ZQLk za+c5Z<|qF=Jtd`NY3YbTF8hpL&)dy~=G@0PxUyPXiveONkX~e><1@yx+GgDqToIOk zwzE}PnuFfl4cIg{eAlG_6Y1EV#;{aT=bsVyD_D2!Pqk}R|5@$YLhoE=9^0Am$Lax| zOH0R(OAvb{2`~k~oV8i5);pR{FtI89ZvUlneqnW5_U)<0z65uvYPpsR!RH-aTtW%S z0zKJ0_%T?Y6O}EgBUEA+BG}!Q5_XYfrJP*K-rLG7uMNsLCFHBaL7gWqJMVdCK9h$1 zgD;XDU(2t%b>$w_T@drZm?MKi_7hD(<2&DD0V-Ke+`7ImXNVWMh00K{(8 zqbaoxt>CPRDX^aC0^#p@*+ovXW<4&OId1*}8xfXzoy1;4eeom5pIwh^xYeICH4k(4 z-Nqf!!_6haqi&wzys2%@t9~SH|M(EqI}uH?<#>fF)GSs}BOJbchPShdVg|Mt57uz6 zzc~;t%hg*`dP1-zzOj=h&sgBmS0GU->3y#<4~ivyDg|wosy5k*OQ18OA&{2HO)6f0 zAY))I8kO$X1<>~z&{E^oE}ODRI3B~NZ?L60QkSlte*YJS^?dR-*6r2d%%7S{R{Ee* zIivYT=H|Zm+HKrC zD)VyAIB|&crn`Hs*@?*Hl$^%k6fsA=Gz;Hnim=2Jo-IuYTC#GpzUy}mm!5esA@g%o z(nn}&ujV1DP*<-si@;6%#unpgj&m@y3MVJ;of}vxD7AH%{>%ixTyfy!aQd&dh$^+p z@5k^rmE&^ULJC<(=66LuJ9%A8uo8izf=GpcVMFIUE$trJAM!j$BJI8=<}~RGoaCbT z_JD?`o@YMU{Ip-Cii=CCD6fmlMMBZFNw57+R;+|%ObNM1^fV$+Tw03#~3TH?2sXt2eH9HfMI09-hY%(_<9@cC#Fg8w`UVf1q=~VaYTMM5` zisWyv^m&~A0lG5B-55TaM_=NndRb`n?2N}Rw{XSC6YL`8vqVsp@;vcOZMiZ_@W+c6 zhrQ42guYgFc_xX5SsNdxMMn89ap_HC($OiW8#b+pM+I zj`KGsLaQpJ43#3nbfo+WY42*1Sn$xB{yx05#0)t8m zvqKv9J{%Udv86&W-{V75bL~@sKVJ{ItSk?#qlR{I(YV`KMR+z7);uSyt)g-xvR7Gw zoxv-^ZH*+VXA$t&(Qz5JuxBT}Tp#B;U`e1mMuy32=9TPwCVV0MIP+Uh#c~05d5ZaF zMiKe9xZ=h>F^^%nq6n_z9k(bh&kUtzLL{EMurQsdR`^oYUqFNQ2+Ww_+}xqB3|7h~ z%*csfvi4PZnR;?^&$;2~_iO~b+z9X;D}VTTnRC|mkwnU~0o#t0H9uOLcfg*0x?VzJ zI2$&rb?>Iz%b#Oz-BVv1f7B7~n7sAB&pJWE|JN9J!YIo&x zeES%p-D>Hg{(fme*H;#Rn>M*pm`yTf)$16oopsSQ9M_jJ%XO0y)_FgQBPb1g|FOoe zGTJ;o(UGYLk)(pe)!D7&JOF4On1X;f1F$BNK3{JIgG3RZ=iy+!4^d>;eS;O6k)9rB z&eIDjUGc(wGY+8Gahor%M%FXlnZYy3>{ysgm|1@U4YL-W2+wTaZ+Z!BwGR-BZES_T za|s^(Mf2$9)R2UPX(=%Oc~{EH`aC}z?TcRj^l3ofBsmALAF4DC3s)149eb-1L&#^> zk#qN0c&`fykf)PD3|r~tF23rJF}wg+B!hO@mB-oLeZv@r*RvZ-SZNp<5K?=fxK_y< zm++I!_9FQ%tqqya3UoeSX3r42IUe>7RAob2fa7#3oxAtU7VcU~Tg0!=A3DRrK)95f zUHZ|JQI|K?7X+f<9mhNQS|jF|hC zr0C0Jn26AO4Qw%>ZehWh*o})|Eh*VJc3gc3YQebk-?tn;Sc?=|a+#XGIb<8klZD8W z?}FT0n^992E4>)YecOzV^%}3a*&0^M+~(t=ag!%Z7CmLxr`u7)4aa>ECML=J5C>t2 zx+P3l&2Z6^AD`Em4~!FPx9scM!@WuzGoI_1rkE!sohvKz9CE!@(L$PLS@z8#)Dk+M zX)#msNbuqDm)UZe)QPMQZpA;jSnB+2McnQxC2=TVI-p{J|K;GLoN6Y4c#y;W-D#7s zSxV2f!MCtpQsOasn;f%BjH%hFDKwYRdNuA7tDb|yEk`HWh4q;aEiytCzOTP(iY5KI zk(f^Os|&B7!`(ZoFWs4m+eL9){ef+t$(&PLYe7PzcG2Xdgv!CH!NSq_IDLKb#3!Xd zVDF7T{yXb|umy_>Igs!Azvf~XOZC;c2BwyEeraQ(f5F4(y?O>cdm-j~N1BcrkUf~w ze7KQlD82>(*W%5vr1;55T;4(r#SbO&T`W)ZPA7XD;e0Kx_UW;4dCxlAz<}r&j%r=j zkrf#KRG#-(jqYHAPOMyA{2lrfCfxJ0re{QKsb8rPfr$;|be*)`@KRcBzy zY8Vy0PP}MIoOndAvH0grjAS}*(jB|kb#Spl?0CP?TJ;a3gt(l?Od2dtIc0`E6`BVU zH&!i0r9md|o={&)r?q$8R*ceovhw7$Gp9cPY7S#ErWnyX{_~J`@Xdo{cOF{D_r?Dy z^IPXZ+I?zsC8XBYHRbP`cI-E;O$_1*p%0p)Hpnm@YE(t1LwR-c@2sp(mTFvG63}1C zZThM_bkIT>JNP}(rkuY=L(C#5^d_|an^Q)8xPq1stucR5VAy-+qLA#Zx4c2&Z(7ep z?{GT!kDHhE#h<8Q;-ptn4*30iJy<69zEZGA2lmu!T~czYGCXzN_qY8OQMK0$7*(m~ zlmSwpMCwUl^gD|0+|-v{l;mO+YPdk$f#q-i7GhugPze2YIxX*HE{i?>)B4X})1`_# z$lo|Z*BnvSJ<<)qR_MLWAp`YaWGu#T%8gFVoj~eOF__#)ajr@ImF5A?e=9S5JF%r6 z?!*pdE_sVdss%Gh=2cf;7;&psRV^7?c?$Ry1|Y|b)K%y+1z?Kth-?C4DLx?G7EZr| zMekL-rGPK1*Q@+{;i`WXZ*bzZh2k&(6I3ttn1aCF!`Rp?kUqA&dsp`NQ((ieAr)AV zHIC;)=kkz=R=o2dz{sCcz7^y)jB1fyf7ZN3=fvDvQ5U|EpQTLgtBIDR>``}K)-2?q!|clD)OMmP0De(3Q8qZd(DFiLYT~@-ReOh&0OQD zrE7)Ylio7N*9>@Zq$mg4%Au>CG`mY5rlnO17rl8?MeXa7c}KgmOSVe%oWI6fzdg8bVKukW1C$?>)+UDemV zoG>tW-9?W7BPLRL?_STHnj7x!g_Bc}ho_gqo66oOIXT7p)mmFpm=zu-_CDpG_Wb7Q za`&zSXz9kjlY)F&`(J?!7plq&-F5W!A!%UnCu!jFc_!U{qb7-|S7M`=i~3RuHknW9 zyExGq{oSmuug}rdb=E!5$tgenggF6;SOca3bia`}BOx?2H2V!*lWECv2g#xVx9}dO zCu?SUH6pQ@QLe#CYi7opPrHj2lP824>U)$VxTn-OR^~hUeyJoU_CO}eFh4X@D86px zmdZt*lYef!4hN8y#ICMGDvk~gAhOmjl-BaS3zRqGKo=Lz&4Ceb++S+fo?8X5ha%XM8AAz8^XP-?1-CDK5@ysdBSE929CoWuy zfBjl$bG5x}GvIKRlHJDUQ%KmyRNCyQAre>j(N`$A`qsEO+DqM#iBnBp^wJBfjHr8}08{(hb!iCmZd6of1D1#;9$ zVWS^&4`bMYY~&HZf8D^L@#>uLj<9`D)(YCO2tys&-oM$ytSS=3pzXrdZ~Y% zViK*$)F&k1_2Su5uJhzn4gyv8Oi3TxcMos)j#jUbx|A6(sg#MtAvsXTj&8RD1tp